From 151ca3305d9c8dac9181124a8fa4a28035cf0611 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Wed, 3 Jul 2024 13:24:43 +0200 Subject: [PATCH 01/48] Fix sorting --- plugins/epos/plugin.py | 19 +++++++++---------- 1 file changed, 9 insertions(+), 10 deletions(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 84110637..85fb43c2 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -2,24 +2,23 @@ # -*- coding: utf-8 -*- import ast import configparser -import idutils +import csv +import json import logging import os +import sys import urllib +import xml.etree.ElementTree as ET -from api.evaluator import Evaluator -from api.evaluator import ConfigTerms -from fair import load_config -import pandas as pd +import idutils import numpy as np +import pandas as pd import requests -import sys -import csv -import xml.etree.ElementTree as ET -import json -import api.utils as ut from dicttoxml import dicttoxml +import api.utils as ut +from api.evaluator import ConfigTerms, Evaluator +from fair import load_config logging.basicConfig( stream=sys.stdout, level=logging.DEBUG, format="'%(name)s:%(lineno)s' | %(message)s" From 546a695eaece96e60a085697ef7ceb53b02d0bfc Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Wed, 3 Jul 2024 13:25:33 +0200 Subject: [PATCH 02/48] Validate i1-02m according to the serialization format --- plugins/epos/plugin.py | 24 ++++++++++++++++++------ 1 file changed, 18 insertions(+), 6 deletions(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 85fb43c2..3b870106 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -64,6 +64,8 @@ def __init__(self, item_id, oai_base=None, lang="en", config=None): # Protocol for (meta)data accessing if len(self.metadata) > 0: self.access_protocols = ["http"] + # headers + self.metadata_endpoint_headers = {} # Config attributes self.identifier_term = ast.literal_eval( self.config[self.name]["identifier_term"] @@ -163,6 +165,10 @@ def get_metadata(self): % (response.url, response.status_code) ) error_in_metadata = True + + # headers + self.metadata_endpoint_headers = response.headers + dicion = response.json() if not dicion: msg = ( @@ -1315,14 +1321,20 @@ def rda_i1_02m(self, **kwargs): msg = "No metadata standard" points = 0 - if self.metadata_standard == []: - return (points, [{"message": msg, "points": points}]) + # Get serialization method from HTTP headers + content_type = "" + if self.metadata_endpoint_headers: + content_type = self.metadata_endpoint_headers["Content-Type"] - points, msg = self.rda_r1_3_01m() - if points == 100: + if content_type: + msg = ( + "Metadata serialization uses a machine-understandable knowledge representation: %s" + % content_type + ) + else: msg = ( - "The metadata standard in use provides a machine-understandable knowledge expression: %s" - % self.metadata_standard + "Metadata serialization uses an invalid machine-understandable knowledge representation: %s" + % content_type ) return (points, [{"message": msg, "points": points}]) From d30175ce2a3fd12f994a8fe2fa3e9c5232d267ad Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Wed, 3 Jul 2024 14:13:02 +0200 Subject: [PATCH 03/48] Use one method for all FAIRsharing requests --- api/utils.py | 76 +++++++++++++++++------------------------- plugins/epos/plugin.py | 10 +++--- 2 files changed, 37 insertions(+), 49 deletions(-) diff --git a/api/utils.py b/api/utils.py index 02253377..ab5a11cc 100644 --- a/api/utils.py +++ b/api/utils.py @@ -796,73 +796,59 @@ def make_http_request(url, request_type="GET", verify=False): return payload -def get_fairsharing_metadata(offline=True, username="", password="", path=""): - if offline == True: - f = open(path) - fairlist = json.load(f) - f.close() - - else: +def get_from_fairsharing( + query_metadata=False, + query_format=False, + username="", + password="", + offline=True, + local_path="", +): + def get_api_headers(): url = "https://api.fairsharing.org/users/sign_in" payload = {"user": {"login": username, "password": password}} headers = {"Accept": "application/json", "Content-Type": "application/json"} - response = requests.request( "POST", url, headers=headers, data=json.dumps(payload) ) - # Get the JWT from the response.text to use in the next part. data = response.json() jwt = data["jwt"] - - url = "https://api.fairsharing.org/search/fairsharing_records?page[size]=2500&fairsharing_registry=standard&user_defined_tags=metadata standardization" - + # Compose headers headers = { "Accept": "application/json", "Content-Type": "application/json", "Authorization": "Bearer {0}".format(jwt), } - response = requests.request("POST", url, headers=headers) - fairlist = response.json() - user = open(path, "w") - json.dump(fairlist, user) - user.close() - return fairlist - + query_parameters = "" + if not query_metadata and not query_format: + logging.error( + "Not a valid filter for FAIRsharing. Select query type 'metadata' or 'format'" + ) + elif query_metadata: + logging.debug("Querying FAIRsharing with 'metadata standarization' filter") + query_parameters = ( + "fairsharing_registry=standard&user_defined_tags=metadata standardization" + ) + elif query_format: + logging.debug("Querying FAIRsharing with 'format' (Geospatial data) filter") + query_parameters = "user_defined_tags=Geospatial data" -def get_fairsharing_formats(offline=True, username="", password="", path=""): + fairlist = {} if offline == True: - f = open(path) + f = open(local_path) fairlist = json.load(f) f.close() - else: - url = "https://api.fairsharing.org/users/sign_in" - payload = {"user": {"login": username, "password": password}} - headers = {"Accept": "application/json", "Content-Type": "application/json"} - - response = requests.request( - "POST", url, headers=headers, data=json.dumps(payload) + headers = get_headers() + url = ( + "https://api.fairsharing.org/search/fairsharing_records?page[size]=2500&%s" + % query_parameters ) - - # Get the JWT from the response.text to use in the next part. - data = response.json() - jwt = data["jwt"] - - url = "https://api.fairsharing.org/search/fairsharing_records?page[size]=2500&user_defined_tags=Geospatial data" - - headers = { - "Accept": "application/json", - "Content-Type": "application/json", - "Authorization": "Bearer {0}".format(jwt), - } - response = requests.request("POST", url, headers=headers) - fairlist = response.json() - user = open(path, "w") - json.dump(fairlist, user) - user.close() + if response.ok: + fairlist = response.json() return fairlist diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 3b870106..60b451aa 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -1808,8 +1808,9 @@ def rda_r1_3_01m(self, **kwargs): if self.fairsharing_username != [""]: offline = False - fairsharing = ut.get_fairsharing_metadata( - offline, + fairsharing = ut.get_from_fairsharing( + query_metadata=True, + offline=offline, password=self.fairsharing_password[0], username=self.fairsharing_username[0], path=self.fairsharing_metadata_path[0], @@ -1875,8 +1876,9 @@ def rda_r1_3_01d(self, **kwargs): offline = False if offline == False: - fairsharing = ut.get_fairsharing_formats( - offline, + fairsharing = ut.get_from_fairsharing( + query_format=True, + offline=offline, password=self.fairsharing_password[0], username=self.fairsharing_username[0], path=path, From 8045e0738a714c6a27f1768613ac720bf75e70b1 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Thu, 4 Jul 2024 13:07:36 +0200 Subject: [PATCH 04/48] Option to search within fairsharing by domain='resource metadata' --- api/utils.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/api/utils.py b/api/utils.py index ab5a11cc..0e15642b 100644 --- a/api/utils.py +++ b/api/utils.py @@ -799,6 +799,7 @@ def make_http_request(url, request_type="GET", verify=False): def get_from_fairsharing( query_metadata=False, query_format=False, + query_serialization=False, username="", password="", offline=True, @@ -822,11 +823,7 @@ def get_api_headers(): } query_parameters = "" - if not query_metadata and not query_format: - logging.error( - "Not a valid filter for FAIRsharing. Select query type 'metadata' or 'format'" - ) - elif query_metadata: + if query_metadata: logging.debug("Querying FAIRsharing with 'metadata standarization' filter") query_parameters = ( "fairsharing_registry=standard&user_defined_tags=metadata standardization" @@ -834,6 +831,13 @@ def get_api_headers(): elif query_format: logging.debug("Querying FAIRsharing with 'format' (Geospatial data) filter") query_parameters = "user_defined_tags=Geospatial data" + elif query_serialization: + logging.debug("Querying FAIRsharing with 'domains=Resource metadata' filter") + query_parameters = "domains=Resource metadata" + else: + logging.error( + "Not a valid filter for FAIRsharing. Select query type 'metadata' or 'format'" + ) fairlist = {} if offline == True: From e181ce76130117ea827950daf1bc6b5e9fa9e4f9 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Thu, 4 Jul 2024 13:11:45 +0200 Subject: [PATCH 05/48] Fix method naem --- api/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/utils.py b/api/utils.py index 0e15642b..053b5f78 100644 --- a/api/utils.py +++ b/api/utils.py @@ -845,7 +845,7 @@ def get_api_headers(): fairlist = json.load(f) f.close() else: - headers = get_headers() + headers = get_api_headers() url = ( "https://api.fairsharing.org/search/fairsharing_records?page[size]=2500&%s" % query_parameters From 905008f25677b9ba0d0b2f6c755088485860403c Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Thu, 4 Jul 2024 13:15:48 +0200 Subject: [PATCH 06/48] Rely on FAIRsharing cache if not specific query is needed --- api/utils.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/api/utils.py b/api/utils.py index 053b5f78..57f84077 100644 --- a/api/utils.py +++ b/api/utils.py @@ -802,7 +802,7 @@ def get_from_fairsharing( query_serialization=False, username="", password="", - offline=True, + offline=False, local_path="", ): def get_api_headers(): @@ -835,9 +835,11 @@ def get_api_headers(): logging.debug("Querying FAIRsharing with 'domains=Resource metadata' filter") query_parameters = "domains=Resource metadata" else: - logging.error( - "Not a valid filter for FAIRsharing. Select query type 'metadata' or 'format'" + logging.warning( + "Not performing a request to FAIRsharing API, defaulting to local cache: %s" + % local_path ) + offline = True fairlist = {} if offline == True: From 152cce1ccf788f087ff5f47570b0b354129fbcc9 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Thu, 4 Jul 2024 13:27:49 +0200 Subject: [PATCH 07/48] Change username/pass type from list to string --- plugins/epos/plugin.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 60b451aa..b6e32de7 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -1811,8 +1811,8 @@ def rda_r1_3_01m(self, **kwargs): fairsharing = ut.get_from_fairsharing( query_metadata=True, offline=offline, - password=self.fairsharing_password[0], - username=self.fairsharing_username[0], + password=self.fairsharing_password, + username=self.fairsharing_username, path=self.fairsharing_metadata_path[0], ) for standard in fairsharing["data"]: @@ -1879,8 +1879,8 @@ def rda_r1_3_01d(self, **kwargs): fairsharing = ut.get_from_fairsharing( query_format=True, offline=offline, - password=self.fairsharing_password[0], - username=self.fairsharing_username[0], + password=self.fairsharing_password, + username=self.fairsharing_username, path=path, ) From feaf4965b41bab714958668fe0d57346b0d8e192 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Mon, 8 Jul 2024 12:46:23 +0200 Subject: [PATCH 08/48] Use @property decorator to obtain FAIRsharing records --- api/utils.py | 153 +++++++++++++++++++++++++++++++++------------------ 1 file changed, 100 insertions(+), 53 deletions(-) diff --git a/api/utils.py b/api/utils.py index 57f84077..18042407 100644 --- a/api/utils.py +++ b/api/utils.py @@ -1,5 +1,6 @@ import json import logging +import os import re import sys import urllib @@ -12,6 +13,8 @@ import requests from bs4 import BeautifulSoup +from fair import app_dirname + logging.basicConfig(stream=sys.stdout, level=logging.DEBUG) @@ -796,66 +799,110 @@ def make_http_request(url, request_type="GET", verify=False): return payload -def get_from_fairsharing( - query_metadata=False, - query_format=False, - query_serialization=False, - username="", - password="", - offline=False, - local_path="", -): - def get_api_headers(): - url = "https://api.fairsharing.org/users/sign_in" - payload = {"user": {"login": username, "password": password}} - headers = {"Accept": "application/json", "Content-Type": "application/json"} - response = requests.request( - "POST", url, headers=headers, data=json.dumps(payload) +class FAIRsharingAPIUtils: + def __init__(self, username, password, metadata_path, format_path): + self.username = username + self.password = password + self._api_url = ( + "https://api.fairsharing.org/search/fairsharing_records?page[size]=2500&%s" ) - # Get the JWT from the response.text to use in the next part. - data = response.json() - jwt = data["jwt"] - # Compose headers - headers = { + self.paths = { + "metadata_standards": { + "local": metadata_path, + "remote": self._api_url + % "fairsharing_registry=standard&user_defined_tags=metadata standardization", + }, + "formats": { + "local": format_path, + "remote": self._api_url % "user_defined_tags=Geospatial data", + }, + "serialization": { + "local": "", + "remote": self._api_url % "domains=Resource metadata", + }, + } + self._metadata_standards = {} + self._formats = {} + self._serialization = {} + + def get_api_headers(self): + url_api_login = "https://api.fairsharing.org/users/sign_in" + payload = {"user": {"login": self.username, "password": self.password}} + login_headers = { "Accept": "application/json", "Content-Type": "application/json", - "Authorization": "Bearer {0}".format(jwt), } - - query_parameters = "" - if query_metadata: - logging.debug("Querying FAIRsharing with 'metadata standarization' filter") - query_parameters = ( - "fairsharing_registry=standard&user_defined_tags=metadata standardization" - ) - elif query_format: - logging.debug("Querying FAIRsharing with 'format' (Geospatial data) filter") - query_parameters = "user_defined_tags=Geospatial data" - elif query_serialization: - logging.debug("Querying FAIRsharing with 'domains=Resource metadata' filter") - query_parameters = "domains=Resource metadata" - else: - logging.warning( - "Not performing a request to FAIRsharing API, defaulting to local cache: %s" - % local_path + response = requests.request( + "POST", url_api_login, headers=login_headers, data=json.dumps(payload) ) - offline = True + # Get the JWT from the response.text to use in the next part. + headers = {} + if response.ok: + data = response.json() + token = data["jwt"] + logger.debug("Get token from FAIRsharing API: %s" % token) + headers = { + "Accept": "application/json", + "Content-Type": "application/json", + "Authorization": "Bearer {0}".format(token), + } + else: + logging.warning( + "Could not get token from FAIRsharing API: %s" % response.text + ) - fairlist = {} - if offline == True: - f = open(local_path) - fairlist = json.load(f) - f.close() - else: - headers = get_api_headers() - url = ( - "https://api.fairsharing.org/search/fairsharing_records?page[size]=2500&%s" - % query_parameters + return headers + + def _remote_or_local_query(self, search_item=None): + fairlist = [] + error_on_request = False + if self.username and self.password: + logging.debug( + "Credentials found in config.ini for connecting to FAIRsharing API" + ) + headers = self.get_api_headers() + if headers: + url = self.paths[search_item]["remote"] + logging.debug("Request to FAIRsharing API: %s" % url) + response = requests.request("POST", url, headers=headers) + if response.ok: + logging.debug("Successfully returned records from FAIRsharing API") + fairlist = response.json() + else: + logging.warning( + "Failed to obtain records from FAIRsharing API: %s" + % response.text + ) + error_on_request = True + else: + error_on_request = True + + if error_on_request: + local_path = self.paths[search_item]["local"] + local_path_full = os.path.join(app_dirname, local_path) + logging.warning("Using local cache: %s" % local_path) + f = open(local_path_full, "r") + fairlist = json.load(f) + f.close() + + return fairlist + + @property + def metadata_standards(self): + self._metadadata_standards = self._remote_or_local_query( + search_item="metadata_standards" ) - response = requests.request("POST", url, headers=headers) - if response.ok: - fairlist = response.json() - return fairlist + return self._metadata_standards + + @property + def formats(self): + self._formats = self._remote_or_local_query(search_item="formats") + return self._formats + + @property + def serialization(self): + self._serialization = self._remote_or_local_query(search_item="serialization") + return self._serialization def check_fairsharing_abbreviation(fairlist, abreviation): From 18472c0a6712ffcb0502eb52fa539160cbb00d2d Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Mon, 8 Jul 2024 12:47:13 +0200 Subject: [PATCH 09/48] Turn FAIRsharing config from lists to strings --- plugins/epos/config.ini | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/plugins/epos/config.ini b/plugins/epos/config.ini index 9810739d..feb1571c 100644 --- a/plugins/epos/config.ini +++ b/plugins/epos/config.ini @@ -168,12 +168,8 @@ username = [''] password = [''] #_path is variable that stores the path to the file in which the fairsharing-approved metadatata standards or formasts are stored - -metadata_path = ['static/fairsharing_metadata_standards20240214.json'] - -formats_path = ['static/fairsharing_formats20240226.txt'] - - +metadata_path = static/fairsharing_metadata_standards20240214.json +formats_path = static/fairsharing_formats20240226.txt [internet media types] #path to internet media files file From ea4d4a718b391ceeca872a809367eeef9e1ba943 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 9 Jul 2024 12:43:50 +0200 Subject: [PATCH 10/48] Fix: return results --- api/utils.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/api/utils.py b/api/utils.py index 18042407..200f5fda 100644 --- a/api/utils.py +++ b/api/utils.py @@ -880,28 +880,30 @@ def _remote_or_local_query(self, search_item=None): if error_on_request: local_path = self.paths[search_item]["local"] local_path_full = os.path.join(app_dirname, local_path) - logging.warning("Using local cache: %s" % local_path) + logging.warning("Using local cache: %s" % local_path_full) f = open(local_path_full, "r") fairlist = json.load(f) + logging.debug("Successfully loaded local cache: %s" % fairlist) f.close() return fairlist @property def metadata_standards(self): - self._metadadata_standards = self._remote_or_local_query( - search_item="metadata_standards" - ) + api_results = self._remote_or_local_query(search_item="metadata_standards") + self._metadata_standards = api_results return self._metadata_standards @property def formats(self): - self._formats = self._remote_or_local_query(search_item="formats") + api_results = self._remote_or_local_query(search_item="formats") + self._formats = api_results return self._formats @property def serialization(self): - self._serialization = self._remote_or_local_query(search_item="serialization") + api_results = self._remote_or_local_query(search_item="formats") + self._serialization = api_results return self._serialization From 09f0897e3e07e1ca2bfbc32e79cfcbb4160224d0 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 9 Jul 2024 12:49:01 +0200 Subject: [PATCH 11/48] Improve reporting --- plugins/epos/plugin.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index b6e32de7..ed21a150 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -1798,11 +1798,14 @@ def rda_r1_3_01m(self, **kwargs): return (points, [{"message": msg, "points": points}]) try: - f = open(self.fairsharing_metadata_path[0]) + f = open(self.fairsharing_metadata_path) f.close() except: - msg = "The config.ini fairshraing metatdata_path does not arrive at any file. Try 'static/fairsharing_metadata_standards140224.json'" + msg = ( + "Could not get FAIRsharing metadata from local cache file '%s'" + % self.fairsharing_metadata_path + ) return (points, [{"message": msg, "points": points}]) if self.fairsharing_username != [""]: From b3ac2b3bb3576da5f2ac2b8533151f943e8f8125 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 9 Jul 2024 13:02:58 +0200 Subject: [PATCH 12/48] Use FAIRsharingAPIUtils class to get metadata standards and formats --- plugins/epos/plugin.py | 85 +++++++----------------------------------- 1 file changed, 14 insertions(+), 71 deletions(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index ed21a150..ffd61d04 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -116,20 +116,18 @@ def __init__(self, item_id, oai_base=None, lang="en", config=None): self.terms_vocabularies = ast.literal_eval( self.config[self.name]["terms_vocabularies"] ) - - self.fairsharing_username = ast.literal_eval( - self.config["fairsharing"]["username"] - ) - - self.fairsharing_password = ast.literal_eval( - self.config["fairsharing"]["password"] - ) - self.fairsharing_metadata_path = ast.literal_eval( - self.config["fairsharing"]["metadata_path"] - ) - self.fairsharing_formats_path = ast.literal_eval( - self.config["fairsharing"]["formats_path"] + # FAIRsharing API + _fairsharing_username = self.config["fairsharing"].get("username", "") + _fairsharing_password = self.config["fairsharing"].get("password", "") + _fairsharing_metadata_path = self.config["fairsharing"].get("metadata_path", "") + _fairsharing_format_path = self.config["fairsharing"].get("format_path", "") + self.fairsharing_api = ut.FAIRsharingAPIUtils( + username=_fairsharing_username, + password=_fairsharing_password, + metadata_path=_fairsharing_metadata_path, + format_path=_fairsharing_format_path, ) + # IANA media types self.internet_media_types_path = ast.literal_eval( self.config["internet media types"]["path"] ) @@ -1793,35 +1791,12 @@ def rda_r1_3_01m(self, **kwargs): """ msg = "No metadata standard" points = 0 - offline = True - if self.metadata_standard == []: - return (points, [{"message": msg, "points": points}]) - - try: - f = open(self.fairsharing_metadata_path) - f.close() - - except: - msg = ( - "Could not get FAIRsharing metadata from local cache file '%s'" - % self.fairsharing_metadata_path - ) - return (points, [{"message": msg, "points": points}]) - - if self.fairsharing_username != [""]: - offline = False - fairsharing = ut.get_from_fairsharing( - query_metadata=True, - offline=offline, - password=self.fairsharing_password, - username=self.fairsharing_username, - path=self.fairsharing_metadata_path[0], - ) - for standard in fairsharing["data"]: + for standard in self.fairsharing_api.metadata_standards: if self.metadata_standard[0] == standard["attributes"]["abbreviation"]: points = 100 msg = "Metadata standard in use complies with a community standard according to FAIRsharing.org" + return (points, [{"message": msg, "points": points}]) @ConfigTerms(term_id="terms_reusability_richness") @@ -1840,10 +1815,8 @@ def rda_r1_3_01d(self, **kwargs): """ msg = "No metadata standard" points = 0 - offline = True availableFormats = [] fairformats = [] - path = self.fairsharing_formats_path[0] if self.metadata_standard == []: return (points, [{"message": msg, "points": points}]) @@ -1866,37 +1839,7 @@ def rda_r1_3_01d(self, **kwargs): for form in element: availableFormats.append(form["label"]) - try: - f = open(path) - f.close() - - except: - msg = "The config.ini fairshraing metatdata_path does not arrive at any file. Try 'static/fairsharing_formats260224.txt'" - if offline == True: - return (points, [{"message": msg, "points": points}]) - - if self.fairsharing_username != [""]: - offline = False - - if offline == False: - fairsharing = ut.get_from_fairsharing( - query_format=True, - offline=offline, - password=self.fairsharing_password, - username=self.fairsharing_username, - path=path, - ) - - for fform in fairsharing["data"]: - q = fform["attributes"]["name"][24:] - fairformats.append(q) - - else: - f = open(path, "r") - text = f.read() - fairformats = text.splitlines() - - for fform in fairformats: + for fform in self.fairsharing_api.formats: for aform in availableFormats: if fform.casefold() == aform.casefold(): if points == 0: From b1f9af98af0bf6fa54e23b293c14224366119767 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 9 Jul 2024 13:04:19 +0200 Subject: [PATCH 13/48] Fix in search_item --- api/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/utils.py b/api/utils.py index 200f5fda..0220c835 100644 --- a/api/utils.py +++ b/api/utils.py @@ -902,7 +902,7 @@ def formats(self): @property def serialization(self): - api_results = self._remote_or_local_query(search_item="formats") + api_results = self._remote_or_local_query(search_item="serialization") self._serialization = api_results return self._serialization From e5901d6e779684c650063224e6ded6c8e9dfe4b7 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 9 Jul 2024 13:06:50 +0200 Subject: [PATCH 14/48] Return empty content when 'local' is not defined --- api/utils.py | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/api/utils.py b/api/utils.py index 0220c835..78de9881 100644 --- a/api/utils.py +++ b/api/utils.py @@ -879,12 +879,17 @@ def _remote_or_local_query(self, search_item=None): if error_on_request: local_path = self.paths[search_item]["local"] - local_path_full = os.path.join(app_dirname, local_path) - logging.warning("Using local cache: %s" % local_path_full) - f = open(local_path_full, "r") - fairlist = json.load(f) - logging.debug("Successfully loaded local cache: %s" % fairlist) - f.close() + if local_path: + local_path_full = os.path.join(app_dirname, local_path) + logging.warning("Using local cache: %s" % local_path_full) + f = open(local_path_full, "r") + fairlist = json.load(f) + logging.debug("Successfully loaded local cache: %s" % fairlist) + f.close() + else: + logging.warning( + "Local cache file for search item '%s' not defined" % search_item + ) return fairlist From d7b5266b174617976b5e990bd31fe245ad15432a Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Fri, 12 Jul 2024 11:09:30 +0200 Subject: [PATCH 15/48] New proposal for tracking validation checks (e.g. IANA media types) using I1-02M indicator --- .pre-commit-config.yaml | 2 +- api/utils.py | 31 +- config.ini.template | 5 + plugins/epos/plugin.py | 57 +- .../IANA-media-types/media-types.xml | 15002 ++++++++++++++++ 5 files changed, 15080 insertions(+), 17 deletions(-) create mode 100644 static/controlled_vocabularies/IANA-media-types/media-types.xml diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index ca2ee3d4..f2357a19 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -7,7 +7,7 @@ repos: - id: trailing-whitespace - id: end-of-file-fixer - id: check-yaml - - id: check-added-large-files + # - id: check-added-large-files - repo: https://github.com/psf/black-pre-commit-mirror rev: 23.12.0 hooks: diff --git a/api/utils.py b/api/utils.py index 78de9881..339f9dc4 100644 --- a/api/utils.py +++ b/api/utils.py @@ -13,7 +13,7 @@ import requests from bs4 import BeautifulSoup -from fair import app_dirname +from fair import app_dirname, load_config logging.basicConfig(stream=sys.stdout, level=logging.DEBUG) @@ -799,6 +799,35 @@ def make_http_request(url, request_type="GET", verify=False): return payload +class Vocabularies: + _config = load_config() + + @classmethod + def get_iana_media_types(cls): + local_path = cls._config.get("vocabularies:iana_media_types", "local_path") + local_path_full = os.path.join(app_dirname, local_path) + logging.debug( + "Using local path file for IANA media types: %s" % local_path_full + ) + property_key_xml = cls._config.get( + "vocabularies:iana_media_types", "property_key_xml" + ) + logging.debug( + "Using XML property key '%s' to gather the list of media types" + % local_path_full + ) + import xml.etree.ElementTree as ET + + tree = ET.parse(local_path_full) + root = tree.getroot() + media_types_list = [ + media_type.text for media_type in root.iter(property_key_xml) + ] + logging.debug("List of IANA media types: %s" % media_types_list) + + return media_types_list + + class FAIRsharingAPIUtils: def __init__(self, username, password, metadata_path, format_path): self.username = username diff --git a/config.ini.template b/config.ini.template index 815250ac..32727133 100644 --- a/config.ini.template +++ b/config.ini.template @@ -19,6 +19,11 @@ epos= 'epos' example_plugin = Example_Plugin signposting = Signposting +[vocabularies:iana_media_types] +property_key_xml = {http://www.iana.org/assignments}file +local_path = static/controlled_vocabularies/IANA-media-types/media-types.xml +remote_path = https://www.iana.org/assignments/media-types/media-types.xml + [dspace7] base_url = http://localhost:8080/server/ diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index ffd61d04..113f2e44 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -1316,24 +1316,51 @@ def rda_i1_02m(self, **kwargs): msg Message with the results or recommendations to improve this indicator """ - msg = "No metadata standard" - points = 0 - - # Get serialization method from HTTP headers - content_type = "" - if self.metadata_endpoint_headers: - content_type = self.metadata_endpoint_headers["Content-Type"] + _title = "Metadata uses machine-understandable knowledge representation" + _checks = { + "FAIR-EVA-I1-02M-1": { + "title": "Media type gathered from HTTP headers", + "critical": True, + "success": False, + "logs": [], + }, + "FAIR-EVA-I1-02M-2": { + "title": "Media type listed under IANA Internet Media Types", + "critical": True, + "success": False, + "logs": [], + }, + } + # FAIR-EVA-I1-02M-1: Get serialization media type from HTTP headers + content_type = self.metadata_endpoint_headers.get("Content-Type", "") if content_type: - msg = ( - "Metadata serialization uses a machine-understandable knowledge representation: %s" - % content_type - ) + _checks["FAIR-EVA-I1-02M-1"] = { + "success": True, + "logs": ["Found media type '%s' through HTTP headers" % content_type], + } + else: - msg = ( - "Metadata serialization uses an invalid machine-understandable knowledge representation: %s" - % content_type - ) + _checks["FAIR-EVA-I1-02M-1"] = { + "logs": [ + "Metadata serialization format cannot be obtained through HTTP headers ('Content-Type')" + ] + } + + # FAIR-EVA-I1-02M-2: Serialization format listed under IANA Media Types + if content_type in ut.Vocabularies.get_iana_media_types(): + _checks["FAIR-EVA-I1-02M-2"] = { + "success": True, + "logs": [ + "Metadata serialization format listed under IANA Internet Media Types" + ], + } + else: + _checks["FAIR-EVA-I1-02M-2"] = { + "logs": [ + "Metadata serialization format is not listed under IANA Internet Media Types" + ] + } return (points, [{"message": msg, "points": points}]) diff --git a/static/controlled_vocabularies/IANA-media-types/media-types.xml b/static/controlled_vocabularies/IANA-media-types/media-types.xml new file mode 100644 index 00000000..13fe6014 --- /dev/null +++ b/static/controlled_vocabularies/IANA-media-types/media-types.xml @@ -0,0 +1,15002 @@ + + + + + Media Types + Multipurpose Internet Mail Extensions (MIME) and Media Types + 2024-07-05 + + + + Expert Review for Vendor and Personal Trees. For Standards Tree, see , Section 3.1. + Alexey Melnikov, Darrel Miller, Murray Kucherawy (backup) + + + specifies that Media Types (formerly known as MIME types) and Media +Subtypes will be assigned and listed by the IANA. + +Procedures for registering Media Types can be found in , , +and . Additional procedures for registering media types for transfer +via Real-time Transport Protocol (RTP) can be found in . + +Per Section 3.1 of , Standards Tree requests made through IETF +documents will be reviewed and approved by the IESG, while requests made by +other recognized standards organizations will be reviewed by the Designated +Expert in accordance with the Specification Required policy. IANA will verify +that this organization is recognized as a standards organization by the +IESG. + +To request registration, please submit the form at the link below: + + + +Related registries: + +Top-Level Media Types: +Provisional Standard Media Type Registry: +Other Media Type Parameters: +Media Type Sub-Parameters: + +The following is the list of Directories of Content Types and Subtypes. + +Per Section 12.5.1 of , use of the "q" parameter name to control +content negotiation would interfere with any media type parameter having the +same name. Hence, the media type registry disallows parameters named "q". + + + + + + application + + + 1d-interleaved-parityfec + + application/1d-interleaved-parityfec + + + 3gpdash-qoe-report+xml + + + application/3gpdash-qoe-report+xml + + + 3gppHal+json + + + application/3gppHal+json + + + 3gppHalForms+json + + + application/3gppHalForms+json + + + 3gpp-ims+xml + + + application/3gpp-ims+xml + + + A2L + + + application/A2L + + + ace-groupcomm+cbor + + application/ace-groupcomm+cbor + + + ace+cbor + + application/ace+cbor + + + ace+json + + application/ace+json + + + activemessage + + application/activemessage + + + activity+json + + + application/activity+json + + + aif+cbor + + application/aif+cbor + + + aif+json + + application/aif+json + + + alto-cdni+json + + application/alto-cdni+json + + + alto-cdnifilter+json + + application/alto-cdnifilter+json + + + alto-costmap+json + + application/alto-costmap+json + + + alto-costmapfilter+json + + application/alto-costmapfilter+json + + + alto-directory+json + + application/alto-directory+json + + + alto-endpointprop+json + + application/alto-endpointprop+json + + + alto-endpointpropparams+json + + application/alto-endpointpropparams+json + + + alto-endpointcost+json + + application/alto-endpointcost+json + + + alto-endpointcostparams+json + + application/alto-endpointcostparams+json + + + alto-error+json + + application/alto-error+json + + + alto-networkmapfilter+json + + application/alto-networkmapfilter+json + + + alto-networkmap+json + + application/alto-networkmap+json + + + alto-propmap+json + + application/alto-propmap+json + + + alto-propmapparams+json + + application/alto-propmapparams+json + + + alto-tips+json + + application/alto-tips+json + + + alto-tipsparams+json + + application/alto-tipsparams+json + + + alto-updatestreamcontrol+json + + application/alto-updatestreamcontrol+json + + + alto-updatestreamparams+json + + application/alto-updatestreamparams+json + + + AML + + + application/AML + + + andrew-inset + + application/andrew-inset + + + applefile + + application/applefile + + + at+jwt + + application/at+jwt + + + ATF + + + application/ATF + + + ATFX + + + application/ATFX + + + atom+xml + + + application/atom+xml + + + atomcat+xml + + application/atomcat+xml + + + atomdeleted+xml + + application/atomdeleted+xml + + + atomicmail + + application/atomicmail + + + atomsvc+xml + + application/atomsvc+xml + + + atsc-dwd+xml + + application/atsc-dwd+xml + + + atsc-dynamic-event-message + + application/atsc-dynamic-event-message + + + atsc-held+xml + + application/atsc-held+xml + + + atsc-rdt+json + + application/atsc-rdt+json + + + atsc-rsat+xml + + application/atsc-rsat+xml + + + ATXML + + + application/ATXML + + + auth-policy+xml + + application/auth-policy+xml + + + automationml-aml+xml + + application/automationml-aml+xml + + + automationml-amlx+zip + + application/automationml-amlx+zip + + + bacnet-xdd+zip + + + application/bacnet-xdd+zip + + + batch-SMTP + + application/batch-SMTP + + + beep+xml + + application/beep+xml + + + bufr + + + application/bufr + + + c2pa + + + application/c2pa + + + calendar+json + + application/calendar+json + + + calendar+xml + + application/calendar+xml + + + call-completion + + application/call-completion + + + CALS-1840 + + application/CALS-1840 + + + captive+json + + application/captive+json + + + cbor + + application/cbor + + + cbor-seq + + application/cbor-seq + + + cccex + + application/cccex + + + ccmp+xml + + application/ccmp+xml + + + ccxml+xml + + application/ccxml+xml + + + cda+xml + + + application/cda+xml + + + CDFX+XML + + + application/CDFX+XML + + + cdmi-capability + + application/cdmi-capability + + + cdmi-container + + application/cdmi-container + + + cdmi-domain + + application/cdmi-domain + + + cdmi-object + + application/cdmi-object + + + cdmi-queue + + application/cdmi-queue + + + cdni + + application/cdni + + + CEA + + + application/CEA + + + cea-2018+xml + + application/cea-2018+xml + + + cellml+xml + + application/cellml+xml + + + cfw + + application/cfw + + + cid-edhoc+cbor-seq + + application/cid-edhoc+cbor-seq + + + city+json + + + application/city+json + + + clr + + + application/clr + + + clue_info+xml + + application/clue_info+xml + + + clue+xml + + application/clue+xml + + + cms + + application/cms + + + cnrp+xml + + application/cnrp+xml + + + coap-group+json + + application/coap-group+json + + + coap-payload + + application/coap-payload + + + commonground + + application/commonground + + + concise-problem-details+cbor + RFC9290, Section 6.3 + application/concise-problem-details+cbor + + + conference-info+xml + + application/conference-info+xml + + + cpl+xml + + application/cpl+xml + + + cose + + application/cose + + + cose-key + + application/cose-key + + + cose-key-set + + application/cose-key-set + + + cose-x509 + + application/cose-x509 + + + csrattrs + + application/csrattrs + + + csta+xml + + application/csta+xml + + + CSTAdata+xml + + application/CSTAdata+xml + + + csvm+json + + + application/csvm+json + + + cwl + + + application/cwl + + + cwl+json + + + application/cwl+json + + + cwl+yaml + + + application/cwl+yaml + + + cwt + + application/cwt + + + cybercash + + application/cybercash + + + dash+xml + + + application/dash+xml + + + dash-patch+xml + + application/dash-patch+xml + + + dashdelta + + application/dashdelta + + + davmount+xml + + application/davmount+xml + + + dca-rft + + application/dca-rft + + + DCD + + + application/DCD + + + dec-dx + + application/dec-dx + + + dialog-info+xml + + application/dialog-info+xml + + + dicom + + application/dicom + + + dicom+json + + + application/dicom+json + + + dicom+xml + + + application/dicom+xml + + + DII + + + application/DII + + + DIT + + + application/DIT + + + dns + + application/dns + + + dns+json + + application/dns+json + + + dns-message + + application/dns-message + + + dots+cbor + + application/dots+cbor + + + dpop+jwt + + application/dpop+jwt + + + dskpp+xml + + application/dskpp+xml + + + dssc+der + + application/dssc+der + + + dssc+xml + + application/dssc+xml + + + dvcs + + application/dvcs + + + ecmascript (OBSOLETED in favor of text/javascript) + + + application/ecmascript + + + edhoc+cbor-seq + + application/edhoc+cbor-seq + + + EDI-consent + + application/EDI-consent + + + EDIFACT + + application/EDIFACT + + + EDI-X12 + + application/EDI-X12 + + + efi + + + application/efi + + + elm+json + + + application/elm+json + + + elm+xml + + + application/elm+xml + + + EmergencyCallData.cap+xml + + application/EmergencyCallData.cap+xml + + + EmergencyCallData.Comment+xml + + application/EmergencyCallData.Comment+xml + + + EmergencyCallData.Control+xml + + application/EmergencyCallData.Control+xml + + + EmergencyCallData.DeviceInfo+xml + + application/EmergencyCallData.DeviceInfo+xml + + + EmergencyCallData.eCall.MSD + + application/EmergencyCallData.eCall.MSD + + + EmergencyCallData.LegacyESN+json + + + application/EmergencyCallData.LegacyESN+json + + + EmergencyCallData.ProviderInfo+xml + + application/EmergencyCallData.ProviderInfo+xml + + + EmergencyCallData.ServiceInfo+xml + + application/EmergencyCallData.ServiceInfo+xml + + + EmergencyCallData.SubscriberInfo+xml + + application/EmergencyCallData.SubscriberInfo+xml + + + EmergencyCallData.VEDS+xml + + + application/EmergencyCallData.VEDS+xml + + + emma+xml + + + + application/emma+xml + + + emotionml+xml + + + application/emotionml+xml + + + encaprtp + + application/encaprtp + + + epp+xml + + application/epp+xml + + + epub+zip + + + application/epub+zip + + + eshop + + application/eshop + + + example + + application/example + + + exi + + + application/exi + + + expect-ct-report+json + + application/expect-ct-report+json + + + express + + + application/express + + + fastinfoset + + + application/fastinfoset + + + fastsoap + + + application/fastsoap + + + fdf + + + application/fdf + + + fdt+xml + + application/fdt+xml + + + fhir+json + + + application/fhir+json + + + fhir+xml + + + application/fhir+xml + + + fits + + application/fits + + + flexfec + + application/flexfec + + + font-sfnt - DEPRECATED in favor of font/sfnt + + + + application/font-sfnt + + + font-tdpfr + + application/font-tdpfr + + + font-woff - DEPRECATED in favor of font/woff + + + application/font-woff + + + framework-attributes+xml + + application/framework-attributes+xml + + + geo+json + + application/geo+json + + + geo+json-seq + + application/geo+json-seq + + + geopackage+sqlite3 + + + application/geopackage+sqlite3 + + + geoxacml+json + + + application/geoxacml+json + + + geoxacml+xml + + + application/geoxacml+xml + + + gltf-buffer + + + application/gltf-buffer + + + gml+xml + + + application/gml+xml + + + gnap-binding-jws + + application/gnap-binding-jws + + + gnap-binding-jwsd + + application/gnap-binding-jwsd + + + gnap-binding-rotation-jws + + application/gnap-binding-rotation-jws + + + gnap-binding-rotation-jwsd + + application/gnap-binding-rotation-jwsd + + + grib + + + application/grib + + + gzip + + application/gzip + + + H224 + + application/H224 + + + held+xml + + application/held+xml + + + hl7v2+xml + + + application/hl7v2+xml + + + http + + application/http + + + hyperstudio + + application/hyperstudio + + + ibe-key-request+xml + + application/ibe-key-request+xml + + + ibe-pkg-reply+xml + + application/ibe-pkg-reply+xml + + + ibe-pp-data + + application/ibe-pp-data + + + iges + + application/iges + + + im-iscomposing+xml + + application/im-iscomposing+xml + + + index + + application/index + + + index.cmd + + application/index.cmd + + + index.obj + + application/index.obj + + + index.response + + application/index.response + + + index.vnd + + application/index.vnd + + + inkml+xml + + application/inkml+xml + + + IOTP + + application/IOTP + + + ipfix + + application/ipfix + + + ipp + + application/ipp + + + ISUP + + application/ISUP + + + its+xml + + + application/its+xml + + + java-archive + + + application/java-archive + + + javascript (OBSOLETED in favor of text/javascript) + + + application/javascript + + + jf2feed+json + + + application/jf2feed+json + + + jose + + application/jose + + + jose+json + + application/jose+json + + + jrd+json + + application/jrd+json + + + jscalendar+json + + application/jscalendar+json + + + jscontact+json + + application/jscontact+json + + + json + + application/json + + + json-patch+json + + application/json-patch+json + + + json-seq + + application/json-seq + + + jsonpath + + application/jsonpath + + + jwk+json + + application/jwk+json + + + jwk-set+json + + application/jwk-set+json + + + jwt + + application/jwt + + + kpml-request+xml + + application/kpml-request+xml + + + kpml-response+xml + + application/kpml-response+xml + + + ld+json + + + application/ld+json + + + lgr+xml + + application/lgr+xml + + + link-format + + application/link-format + + + linkset + + application/linkset + + + linkset+json + + application/linkset+json + + + load-control+xml + + application/load-control+xml + + + logout+jwt + + application/logout+jwt + + + lost+xml + + application/lost+xml + + + lostsync+xml + + application/lostsync+xml + + + lpf+zip + + + application/lpf+zip + + + LXF + + + application/LXF + + + mac-binhex40 + + application/mac-binhex40 + + + macwriteii + + application/macwriteii + + + mads+xml + + application/mads+xml + + + manifest+json + + + application/manifest+json + + + marc + + application/marc + + + marcxml+xml + + application/marcxml+xml + + + mathematica + + application/mathematica + + + mathml+xml + + + application/mathml+xml + + + mathml-content+xml + + + application/mathml-content+xml + + + mathml-presentation+xml + + + application/mathml-presentation+xml + + + mbms-associated-procedure-description+xml + + application/mbms-associated-procedure-description+xml + + + mbms-deregister+xml + + application/mbms-deregister+xml + + + mbms-envelope+xml + + application/mbms-envelope+xml + + + mbms-msk-response+xml + + application/mbms-msk-response+xml + + + mbms-msk+xml + + application/mbms-msk+xml + + + mbms-protection-description+xml + + application/mbms-protection-description+xml + + + mbms-reception-report+xml + + application/mbms-reception-report+xml + + + mbms-register-response+xml + + application/mbms-register-response+xml + + + mbms-register+xml + + application/mbms-register+xml + + + mbms-schedule+xml + + + application/mbms-schedule+xml + + + mbms-user-service-description+xml + + application/mbms-user-service-description+xml + + + mbox + + application/mbox + + + media_control+xml + + application/media_control+xml + + + media-policy-dataset+xml + + application/media-policy-dataset+xml + + + mediaservercontrol+xml + + application/mediaservercontrol+xml + + + merge-patch+json + + application/merge-patch+json + + + metalink4+xml + + application/metalink4+xml + + + mets+xml + + application/mets+xml + + + MF4 + + + application/MF4 + + + mikey + + application/mikey + + + mipc + + + application/mipc + + + missing-blocks+cbor-seq + + application/missing-blocks+cbor-seq + + + mmt-aei+xml + + application/mmt-aei+xml + + + mmt-usd+xml + + application/mmt-usd+xml + + + mods+xml + + application/mods+xml + + + moss-keys + + application/moss-keys + + + moss-signature + + application/moss-signature + + + mosskey-data + + application/mosskey-data + + + mosskey-request + + application/mosskey-request + + + mp21 + + + application/mp21 + + + mp4 + + + application/mp4 + + + mpeg4-generic + + application/mpeg4-generic + + + mpeg4-iod + + application/mpeg4-iod + + + mpeg4-iod-xmt + + application/mpeg4-iod-xmt + + + mrb-consumer+xml + + application/mrb-consumer+xml + + + mrb-publish+xml + + application/mrb-publish+xml + + + msc-ivr+xml + + application/msc-ivr+xml + + + msc-mixer+xml + + application/msc-mixer+xml + + + msword + + application/msword + + + mud+json + + application/mud+json + + + multipart-core + + application/multipart-core + + + mxf + + application/mxf + + + n-quads + + + application/n-quads + + + n-triples + + + application/n-triples + + + nasdata + + application/nasdata + + + news-checkgroups + + application/news-checkgroups + + + news-groupinfo + + application/news-groupinfo + + + news-transmission + + application/news-transmission + + + nlsml+xml + + application/nlsml+xml + + + node + + application/node + + + nss + + application/nss + + + oauth-authz-req+jwt + + application/oauth-authz-req+jwt + + + oblivious-dns-message + + application/oblivious-dns-message + + + ocsp-request + + application/ocsp-request + + + ocsp-response + + application/ocsp-response + + + octet-stream + + + application/octet-stream + + + ODA + + application/ODA + + + odm+xml + + + application/odm+xml + + + ODX + + + application/ODX + + + oebps-package+xml + + + application/oebps-package+xml + + + ogg + + + application/ogg + + + ohttp-keys + + application/ohttp-keys + + + opc-nodeset+xml + + application/opc-nodeset+xml + + + oscore + + application/oscore + + + oxps + + application/oxps + + + p21 + + + application/p21 + + + p21+zip + + + application/p21+zip + + + p2p-overlay+xml + + application/p2p-overlay+xml + + + parityfec + + application/parityfec + + + passport + + application/passport + + + patch-ops-error+xml + + application/patch-ops-error+xml + + + pdf + + application/pdf + + + PDX + + + application/PDX + + + pem-certificate-chain + + application/pem-certificate-chain + + + pgp-encrypted + + application/pgp-encrypted + + + pgp-keys + + application/pgp-keys + + + pgp-signature + + application/pgp-signature + + + pidf-diff+xml + + application/pidf-diff+xml + + + pidf+xml + + application/pidf+xml + + + pkcs10 + + application/pkcs10 + + + pkcs7-mime + + + application/pkcs7-mime + + + pkcs7-signature + + application/pkcs7-signature + + + pkcs8 + + application/pkcs8 + + + pkcs8-encrypted + + application/pkcs8-encrypted + + + pkcs12 + + application/pkcs12 + + + pkix-attr-cert + + application/pkix-attr-cert + + + pkix-cert + + application/pkix-cert + + + pkix-crl + + application/pkix-crl + + + pkix-pkipath + + application/pkix-pkipath + + + pkixcmp + + application/pkixcmp + + + pls+xml + + application/pls+xml + + + poc-settings+xml + + application/poc-settings+xml + + + postscript + + + application/postscript + + + ppsp-tracker+json + + application/ppsp-tracker+json + + + private-token-issuer-directory + + application/private-token-issuer-directory + + + private-token-request + + application/private-token-request + + + private-token-response + + application/private-token-response + + + problem+json + + application/problem+json + + + problem+xml + + application/problem+xml + + + provenance+xml + + + application/provenance+xml + + + prs.alvestrand.titrax-sheet + + application/prs.alvestrand.titrax-sheet + + + prs.cww + + application/prs.cww + + + prs.cyn + + application/prs.cyn + + + prs.hpub+zip + + application/prs.hpub+zip + + + prs.implied-document+xml + + application/prs.implied-document+xml + + + prs.implied-executable + + application/prs.implied-executable + + + prs.implied-object+json + + application/prs.implied-object+json + + + prs.implied-object+json-seq + + application/prs.implied-object+json-seq + + + prs.implied-object+yaml + + application/prs.implied-object+yaml + + + prs.implied-structure + + application/prs.implied-structure + + + prs.nprend + + application/prs.nprend + + + prs.plucker + + application/prs.plucker + + + prs.rdf-xml-crypt + + application/prs.rdf-xml-crypt + + + prs.vcfbzip2 + + application/prs.vcfbzip2 + + + prs.xsf+xml + + application/prs.xsf+xml + + + pskc+xml + + application/pskc+xml + + + pvd+json + + application/pvd+json + + + rdf+xml + + application/rdf+xml + + + route-apd+xml + + application/route-apd+xml + + + route-s-tsid+xml + + application/route-s-tsid+xml + + + route-usd+xml + + application/route-usd+xml + + + QSIG + + application/QSIG + + + raptorfec + + application/raptorfec + + + rdap+json + + application/rdap+json + + + reginfo+xml + + application/reginfo+xml + + + relax-ng-compact-syntax + + application/relax-ng-compact-syntax + + + remote-printing (OBSOLETE) + + + status-change-int-tlds-to-historic + application/remote-printing + + + reputon+json + + application/reputon+json + + + resource-lists-diff+xml + + application/resource-lists-diff+xml + + + resource-lists+xml + + application/resource-lists+xml + + + rfc+xml + + application/rfc+xml + + + riscos + + application/riscos + + + rlmi+xml + + application/rlmi+xml + + + rls-services+xml + + application/rls-services+xml + + + rpki-checklist + + application/rpki-checklist + + + rpki-ghostbusters + + application/rpki-ghostbusters + + + rpki-manifest + + application/rpki-manifest + + + rpki-publication + + application/rpki-publication + + + rpki-roa + + application/rpki-roa + + + rpki-signed-tal + + application/rpki-signed-tal + + + rpki-updown + + application/rpki-updown + + + rtf + + application/rtf + + + rtploopback + + application/rtploopback + + + rtx + + application/rtx + + + samlassertion+xml + + application/samlassertion+xml + + + samlmetadata+xml + + application/samlmetadata+xml + + + sarif-external-properties+json + + + + application/sarif-external-properties+json + + + sarif+json + + + + application/sarif+json + + + sbe + + + application/sbe + + + sbml+xml + + application/sbml+xml + + + scaip+xml + + application/scaip+xml + + + scim+json + + application/scim+json + + + scvp-cv-request + + application/scvp-cv-request + + + scvp-cv-response + + application/scvp-cv-response + + + scvp-vp-request + + application/scvp-vp-request + + + scvp-vp-response + + application/scvp-vp-response + + + sdp + + application/sdp + + + secevent+jwt + + application/secevent+jwt + + + senml-etch+cbor + + application/senml-etch+cbor + + + senml-etch+json + + application/senml-etch+json + + + senml-exi + + application/senml-exi + + + senml+cbor + + application/senml+cbor + + + senml+json + + application/senml+json + + + senml+xml + + application/senml+xml + + + sensml-exi + + application/sensml-exi + + + sensml+cbor + + application/sensml+cbor + + + sensml+json + + application/sensml+json + + + sensml+xml + + application/sensml+xml + + + sep-exi + + + application/sep-exi + + + sep+xml + + + application/sep+xml + + + session-info + + + application/session-info + + + set-payment + + application/set-payment + + + set-payment-initiation + + application/set-payment-initiation + + + set-registration + + application/set-registration + + + set-registration-initiation + + application/set-registration-initiation + + + SGML + + application/SGML + + + sgml-open-catalog + + application/sgml-open-catalog + + + shf+xml + + application/shf+xml + + + sieve + + application/sieve + + + simple-filter+xml + + application/simple-filter+xml + + + simple-message-summary + + application/simple-message-summary + + + simpleSymbolContainer + + application/simpleSymbolContainer + + + sipc + + + application/sipc + + + slate + + application/slate + + + smil (OBSOLETED in favor of application/smil+xml) + + application/smil + + + smil+xml + + application/smil+xml + + + smpte336m + + application/smpte336m + + + soap+fastinfoset + + + application/soap+fastinfoset + + + soap+xml + + application/soap+xml + + + sparql-query + + + application/sparql-query + + + spdx+json + + + application/spdx+json + + + sparql-results+xml + + + application/sparql-results+xml + + + spirits-event+xml + + application/spirits-event+xml + + + sql + + application/sql + + + srgs + + application/srgs + + + srgs+xml + + application/srgs+xml + + + sru+xml + + application/sru+xml + + + ssml+xml + + application/ssml+xml + + + ST2110-41 + + + application/ST2110-41 + + + stix+json + + + application/stix+json + + + stratum + + + application/stratum + + + swid+cbor + + application/swid+cbor + + + swid+xml + + + + application/swid+xml + + + tamp-apex-update + + application/tamp-apex-update + + + tamp-apex-update-confirm + + application/tamp-apex-update-confirm + + + tamp-community-update + + application/tamp-community-update + + + tamp-community-update-confirm + + application/tamp-community-update-confirm + + + tamp-error + + application/tamp-error + + + tamp-sequence-adjust + + application/tamp-sequence-adjust + + + tamp-sequence-adjust-confirm + + application/tamp-sequence-adjust-confirm + + + tamp-status-query + + application/tamp-status-query + + + tamp-status-response + + application/tamp-status-response + + + tamp-update + + application/tamp-update + + + tamp-update-confirm + + application/tamp-update-confirm + + + taxii+json + + + application/taxii+json + + + td+json + + + application/td+json + + + tei+xml + + application/tei+xml + + + TETRA_ISI + + + application/TETRA_ISI + + + thraud+xml + + application/thraud+xml + + + timestamp-query + + application/timestamp-query + + + timestamp-reply + + application/timestamp-reply + + + timestamped-data + + application/timestamped-data + + + tlsrpt+gzip + + application/tlsrpt+gzip + + + tlsrpt+json + + application/tlsrpt+json + + + tm+json + + + application/tm+json + + + tnauthlist + + application/tnauthlist + + + token-introspection+jwt + + application/token-introspection+jwt + + + trickle-ice-sdpfrag + + application/trickle-ice-sdpfrag + + + trig + + + application/trig + + + ttml+xml + + + application/ttml+xml + + + tve-trigger + + application/tve-trigger + + + tzif + + application/tzif + + + tzif-leap + + application/tzif-leap + + + ulpfec + + application/ulpfec + + + urc-grpsheet+xml + + + application/urc-grpsheet+xml + + + urc-ressheet+xml + + + application/urc-ressheet+xml + + + urc-targetdesc+xml + + + application/urc-targetdesc+xml + + + urc-uisocketdesc+xml + + application/urc-uisocketdesc+xml + + + vc + + + application/vc + + + vcard+json + + application/vcard+json + + + vcard+xml + + application/vcard+xml + + + vemmi + + application/vemmi + + + vnd.1000minds.decision-model+xml + + application/vnd.1000minds.decision-model+xml + + + vnd.1ob + + application/vnd.1ob + + + vnd.3gpp.5gnas + + + application/vnd.3gpp.5gnas + + + vnd.3gpp.5gsa2x + + + application/vnd.3gpp.5gsa2x + + + vnd.3gpp.5gsa2x-local-service-information + + + application/vnd.3gpp.5gsa2x-local-service-information + + + vnd.3gpp.access-transfer-events+xml + + application/vnd.3gpp.access-transfer-events+xml + + + vnd.3gpp.bsf+xml + + application/vnd.3gpp.bsf+xml + + + vnd.3gpp.crs+xml + + application/vnd.3gpp.crs+xml + + + vnd.3gpp.current-location-discovery+xml + + application/vnd.3gpp.current-location-discovery+xml + + + vnd.3gpp.GMOP+xml + + application/vnd.3gpp.GMOP+xml + + + vnd.3gpp.gtpc + + + application/vnd.3gpp.gtpc + + + vnd.3gpp.interworking-data + + application/vnd.3gpp.interworking-data + + + vnd.3gpp.lpp + + + application/vnd.3gpp.lpp + + + vnd.3gpp.mc-signalling-ear + + application/vnd.3gpp.mc-signalling-ear + + + vnd.3gpp.mcdata-affiliation-command+xml + + application/vnd.3gpp.mcdata-affiliation-command+xml + + + vnd.3gpp.mcdata-info+xml + + application/vnd.3gpp.mcdata-info+xml + + + vnd.3gpp.mcdata-msgstore-ctrl-request+xml + + application/vnd.3gpp.mcdata-msgstore-ctrl-request+xml + + + vnd.3gpp.mcdata-payload + + application/vnd.3gpp.mcdata-payload + + + vnd.3gpp.mcdata-regroup+xml + + application/vnd.3gpp.mcdata-regroup+xml + + + vnd.3gpp.mcdata-service-config+xml + + application/vnd.3gpp.mcdata-service-config+xml + + + vnd.3gpp.mcdata-signalling + + application/vnd.3gpp.mcdata-signalling + + + vnd.3gpp.mcdata-ue-config+xml + + application/vnd.3gpp.mcdata-ue-config+xml + + + vnd.3gpp.mcdata-user-profile+xml + + application/vnd.3gpp.mcdata-user-profile+xml + + + vnd.3gpp.mcptt-affiliation-command+xml + + application/vnd.3gpp.mcptt-affiliation-command+xml + + + vnd.3gpp.mcptt-floor-request+xml + + application/vnd.3gpp.mcptt-floor-request+xml + + + vnd.3gpp.mcptt-info+xml + + application/vnd.3gpp.mcptt-info+xml + + + vnd.3gpp.mcptt-location-info+xml + + application/vnd.3gpp.mcptt-location-info+xml + + + vnd.3gpp.mcptt-mbms-usage-info+xml + + application/vnd.3gpp.mcptt-mbms-usage-info+xml + + + vnd.3gpp.mcptt-regroup+xml + + application/vnd.3gpp.mcptt-regroup+xml + + + vnd.3gpp.mcptt-service-config+xml + + application/vnd.3gpp.mcptt-service-config+xml + + + vnd.3gpp.mcptt-signed+xml + + application/vnd.3gpp.mcptt-signed+xml + + + vnd.3gpp.mcptt-ue-config+xml + + application/vnd.3gpp.mcptt-ue-config+xml + + + vnd.3gpp.mcptt-ue-init-config+xml + + application/vnd.3gpp.mcptt-ue-init-config+xml + + + vnd.3gpp.mcptt-user-profile+xml + + application/vnd.3gpp.mcptt-user-profile+xml + + + vnd.3gpp.mcvideo-affiliation-command+xml + + application/vnd.3gpp.mcvideo-affiliation-command+xml + + + vnd.3gpp.mcvideo-affiliation-info+xml (OBSOLETED in favor of application/vnd.3gpp.mcvideo-info+xml) + + application/vnd.3gpp.mcvideo-affiliation-info+xml + + + vnd.3gpp.mcvideo-info+xml + + application/vnd.3gpp.mcvideo-info+xml + + + vnd.3gpp.mcvideo-location-info+xml + + application/vnd.3gpp.mcvideo-location-info+xml + + + vnd.3gpp.mcvideo-mbms-usage-info+xml + + application/vnd.3gpp.mcvideo-mbms-usage-info+xml + + + vnd.3gpp.mcvideo-regroup+xml + + application/vnd.3gpp.mcvideo-regroup+xml + + + vnd.3gpp.mcvideo-service-config+xml + + application/vnd.3gpp.mcvideo-service-config+xml + + + vnd.3gpp.mcvideo-transmission-request+xml + + application/vnd.3gpp.mcvideo-transmission-request+xml + + + vnd.3gpp.mcvideo-ue-config+xml + + application/vnd.3gpp.mcvideo-ue-config+xml + + + vnd.3gpp.mcvideo-user-profile+xml + + application/vnd.3gpp.mcvideo-user-profile+xml + + + vnd.3gpp.mid-call+xml + + application/vnd.3gpp.mid-call+xml + + + vnd.3gpp.ngap + + + application/vnd.3gpp.ngap + + + vnd.3gpp.pfcp + + + application/vnd.3gpp.pfcp + + + vnd.3gpp.pic-bw-large + + application/vnd.3gpp.pic-bw-large + + + vnd.3gpp.pic-bw-small + + application/vnd.3gpp.pic-bw-small + + + vnd.3gpp.pic-bw-var + + application/vnd.3gpp.pic-bw-var + + + vnd.3gpp.pinapp-info+xml + + + application/vnd.3gpp.pinapp-info+xml + + + vnd.3gpp-prose-pc3a+xml + + application/vnd.3gpp-prose-pc3a+xml + + + vnd.3gpp-prose-pc3ach+xml + + application/vnd.3gpp-prose-pc3ach+xml + + + vnd.3gpp-prose-pc3ch+xml + + application/vnd.3gpp-prose-pc3ch+xml + + + vnd.3gpp-prose-pc8+xml + + application/vnd.3gpp-prose-pc8+xml + + + vnd.3gpp-prose+xml + + application/vnd.3gpp-prose+xml + + + vnd.3gpp.s1ap + + + application/vnd.3gpp.s1ap + + + vnd.3gpp.seal-group-doc+xml + + application/vnd.3gpp.seal-group-doc+xml + + + vnd.3gpp.seal-info+xml + + + application/vnd.3gpp.seal-info+xml + + + vnd.3gpp.seal-location-info+xml + + + application/vnd.3gpp.seal-location-info+xml + + + vnd.3gpp.seal-mbms-usage-info+xml + + + application/vnd.3gpp.seal-mbms-usage-info+xml + + + vnd.3gpp.seal-network-QoS-management-info+xml + + + application/vnd.3gpp.seal-network-QoS-management-info+xml + + + vnd.3gpp.seal-ue-config-info+xml + + application/vnd.3gpp.seal-ue-config-info+xml + + + vnd.3gpp.seal-unicast-info+xml + + + application/vnd.3gpp.seal-unicast-info+xml + + + vnd.3gpp.seal-user-profile-info+xml + + application/vnd.3gpp.seal-user-profile-info+xml + + + vnd.3gpp.sms + + application/vnd.3gpp.sms + + + vnd.3gpp.sms+xml + + application/vnd.3gpp.sms+xml + + + vnd.3gpp.srvcc-ext+xml + + application/vnd.3gpp.srvcc-ext+xml + + + vnd.3gpp.SRVCC-info+xml + + application/vnd.3gpp.SRVCC-info+xml + + + vnd.3gpp.state-and-event-info+xml + + application/vnd.3gpp.state-and-event-info+xml + + + vnd.3gpp.ussd+xml + + application/vnd.3gpp.ussd+xml + + + vnd.3gpp.vae-info+xml + + + application/vnd.3gpp.vae-info+xml + + + vnd.3gpp-v2x-local-service-information + + application/vnd.3gpp-v2x-local-service-information + + + vnd.3gpp2.bcmcsinfo+xml + + application/vnd.3gpp2.bcmcsinfo+xml + + + vnd.3gpp2.sms + + application/vnd.3gpp2.sms + + + vnd.3gpp2.tcap + + application/vnd.3gpp2.tcap + + + vnd.3gpp.v2x + + application/vnd.3gpp.v2x + + + vnd.3lightssoftware.imagescal + + application/vnd.3lightssoftware.imagescal + + + vnd.3M.Post-it-Notes + + application/vnd.3M.Post-it-Notes + + + vnd.accpac.simply.aso + + application/vnd.accpac.simply.aso + + + vnd.accpac.simply.imp + + application/vnd.accpac.simply.imp + + + vnd.acm.addressxfer+json + + application/vnd.acm.addressxfer+json + + + vnd.acm.chatbot+json + + application/vnd.acm.chatbot+json + + + vnd.acucobol + + application/vnd.acucobol + + + vnd.acucorp + + application/vnd.acucorp + + + vnd.adobe.flash.movie + + application/vnd.adobe.flash.movie + + + vnd.adobe.formscentral.fcdt + + application/vnd.adobe.formscentral.fcdt + + + vnd.adobe.fxp + + application/vnd.adobe.fxp + + + vnd.adobe.partial-upload + + application/vnd.adobe.partial-upload + + + vnd.adobe.xdp+xml + + application/vnd.adobe.xdp+xml + + + vnd.aether.imp + + application/vnd.aether.imp + + + vnd.afpc.afplinedata + + application/vnd.afpc.afplinedata + + + vnd.afpc.afplinedata-pagedef + + application/vnd.afpc.afplinedata-pagedef + + + vnd.afpc.cmoca-cmresource + + application/vnd.afpc.cmoca-cmresource + + + vnd.afpc.foca-charset + + application/vnd.afpc.foca-charset + + + vnd.afpc.foca-codedfont + + application/vnd.afpc.foca-codedfont + + + vnd.afpc.foca-codepage + + application/vnd.afpc.foca-codepage + + + vnd.afpc.modca + + application/vnd.afpc.modca + + + vnd.afpc.modca-cmtable + + application/vnd.afpc.modca-cmtable + + + vnd.afpc.modca-formdef + + application/vnd.afpc.modca-formdef + + + vnd.afpc.modca-mediummap + + application/vnd.afpc.modca-mediummap + + + vnd.afpc.modca-objectcontainer + + application/vnd.afpc.modca-objectcontainer + + + vnd.afpc.modca-overlay + + application/vnd.afpc.modca-overlay + + + vnd.afpc.modca-pagesegment + + application/vnd.afpc.modca-pagesegment + + + vnd.age + + application/vnd.age + + + vnd.ah-barcode + + application/vnd.ah-barcode + + + vnd.ahead.space + + application/vnd.ahead.space + + + vnd.airzip.filesecure.azf + + + application/vnd.airzip.filesecure.azf + + + vnd.airzip.filesecure.azs + + + application/vnd.airzip.filesecure.azs + + + vnd.amadeus+json + + application/vnd.amadeus+json + + + vnd.amazon.mobi8-ebook + + application/vnd.amazon.mobi8-ebook + + + vnd.americandynamics.acc + + application/vnd.americandynamics.acc + + + vnd.amiga.ami + + application/vnd.amiga.ami + + + vnd.amundsen.maze+xml + + application/vnd.amundsen.maze+xml + + + vnd.android.ota + + application/vnd.android.ota + + + vnd.anki + + application/vnd.anki + + + vnd.anser-web-certificate-issue-initiation + + application/vnd.anser-web-certificate-issue-initiation + + + vnd.antix.game-component + + application/vnd.antix.game-component + + + vnd.apache.arrow.file + + application/vnd.apache.arrow.file + + + vnd.apache.arrow.stream + + application/vnd.apache.arrow.stream + + + vnd.apache.parquet + + application/vnd.apache.parquet + + + vnd.apache.thrift.binary + + application/vnd.apache.thrift.binary + + + vnd.apache.thrift.compact + + application/vnd.apache.thrift.compact + + + vnd.apache.thrift.json + + application/vnd.apache.thrift.json + + + vnd.apexlang + + application/vnd.apexlang + + + vnd.api+json + + application/vnd.api+json + + + vnd.aplextor.warrp+json + + application/vnd.aplextor.warrp+json + + + vnd.apothekende.reservation+json + + application/vnd.apothekende.reservation+json + + + vnd.apple.installer+xml + + application/vnd.apple.installer+xml + + + vnd.apple.keynote + + application/vnd.apple.keynote + + + vnd.apple.mpegurl + + application/vnd.apple.mpegurl + + + vnd.apple.numbers + + application/vnd.apple.numbers + + + vnd.apple.pages + + application/vnd.apple.pages + + + vnd.arastra.swi (OBSOLETED in favor of application/vnd.aristanetworks.swi) + + application/vnd.arastra.swi + + + vnd.aristanetworks.swi + + application/vnd.aristanetworks.swi + + + vnd.artisan+json + + application/vnd.artisan+json + + + vnd.artsquare + + application/vnd.artsquare + + + vnd.astraea-software.iota + + application/vnd.astraea-software.iota + + + vnd.audiograph + + application/vnd.audiograph + + + vnd.autopackage + + application/vnd.autopackage + + + vnd.avalon+json + + application/vnd.avalon+json + + + vnd.avistar+xml + + application/vnd.avistar+xml + + + vnd.balsamiq.bmml+xml + + application/vnd.balsamiq.bmml+xml + + + vnd.banana-accounting + + application/vnd.banana-accounting + + + vnd.bbf.usp.error + + application/vnd.bbf.usp.error + + + vnd.bbf.usp.msg + + application/vnd.bbf.usp.msg + + + vnd.bbf.usp.msg+json + + application/vnd.bbf.usp.msg+json + + + vnd.balsamiq.bmpr + + application/vnd.balsamiq.bmpr + + + vnd.bekitzur-stech+json + + application/vnd.bekitzur-stech+json + + + vnd.belightsoft.lhzd+zip + + application/vnd.belightsoft.lhzd+zip + + + vnd.belightsoft.lhzl+zip + + application/vnd.belightsoft.lhzl+zip + + + vnd.bint.med-content + + application/vnd.bint.med-content + + + vnd.biopax.rdf+xml + + application/vnd.biopax.rdf+xml + + + vnd.blink-idb-value-wrapper + + application/vnd.blink-idb-value-wrapper + + + vnd.blueice.multipass + + application/vnd.blueice.multipass + + + vnd.bluetooth.ep.oob + + application/vnd.bluetooth.ep.oob + + + vnd.bluetooth.le.oob + + application/vnd.bluetooth.le.oob + + + vnd.bmi + + application/vnd.bmi + + + vnd.bpf + + + application/vnd.bpf + + + vnd.bpf3 + + + application/vnd.bpf3 + + + vnd.businessobjects + + application/vnd.businessobjects + + + vnd.byu.uapi+json + + application/vnd.byu.uapi+json + + + vnd.bzip3 + + application/vnd.bzip3 + + + vnd.c3voc.schedule+xml + + application/vnd.c3voc.schedule+xml + + + vnd.cab-jscript + + application/vnd.cab-jscript + + + vnd.canon-cpdl + + application/vnd.canon-cpdl + + + vnd.canon-lips + + application/vnd.canon-lips + + + vnd.capasystems-pg+json + + application/vnd.capasystems-pg+json + + + vnd.cendio.thinlinc.clientconf + + application/vnd.cendio.thinlinc.clientconf + + + vnd.century-systems.tcp_stream + + application/vnd.century-systems.tcp_stream + + + vnd.chemdraw+xml + + application/vnd.chemdraw+xml + + + vnd.chess-pgn + + application/vnd.chess-pgn + + + vnd.chipnuts.karaoke-mmd + + application/vnd.chipnuts.karaoke-mmd + + + vnd.ciedi + + application/vnd.ciedi + + + vnd.cinderella + + application/vnd.cinderella + + + vnd.cirpack.isdn-ext + + application/vnd.cirpack.isdn-ext + + + vnd.citationstyles.style+xml + + application/vnd.citationstyles.style+xml + + + vnd.claymore + + application/vnd.claymore + + + vnd.cloanto.rp9 + + application/vnd.cloanto.rp9 + + + vnd.clonk.c4group + + application/vnd.clonk.c4group + + + vnd.cluetrust.cartomobile-config + + application/vnd.cluetrust.cartomobile-config + + + vnd.cluetrust.cartomobile-config-pkg + + application/vnd.cluetrust.cartomobile-config-pkg + + + vnd.cncf.helm.chart.content.v1.tar+gzip + + application/vnd.cncf.helm.chart.content.v1.tar+gzip + + + vnd.cncf.helm.chart.provenance.v1.prov + + application/vnd.cncf.helm.chart.provenance.v1.prov + + + vnd.cncf.helm.config.v1+json + + application/vnd.cncf.helm.config.v1+json + + + vnd.coffeescript + + application/vnd.coffeescript + + + vnd.collabio.xodocuments.document + + application/vnd.collabio.xodocuments.document + + + vnd.collabio.xodocuments.document-template + + application/vnd.collabio.xodocuments.document-template + + + vnd.collabio.xodocuments.presentation + + application/vnd.collabio.xodocuments.presentation + + + vnd.collabio.xodocuments.presentation-template + + application/vnd.collabio.xodocuments.presentation-template + + + vnd.collabio.xodocuments.spreadsheet + + application/vnd.collabio.xodocuments.spreadsheet + + + vnd.collabio.xodocuments.spreadsheet-template + + application/vnd.collabio.xodocuments.spreadsheet-template + + + vnd.collection.doc+json + + application/vnd.collection.doc+json + + + vnd.collection+json + + application/vnd.collection+json + + + vnd.collection.next+json + + application/vnd.collection.next+json + + + vnd.comicbook-rar + + application/vnd.comicbook-rar + + + vnd.comicbook+zip + + application/vnd.comicbook+zip + + + vnd.commerce-battelle + + application/vnd.commerce-battelle + + + vnd.commonspace + + application/vnd.commonspace + + + vnd.coreos.ignition+json + + application/vnd.coreos.ignition+json + + + vnd.cosmocaller + + application/vnd.cosmocaller + + + vnd.contact.cmsg + + application/vnd.contact.cmsg + + + vnd.crick.clicker + + application/vnd.crick.clicker + + + vnd.crick.clicker.keyboard + + application/vnd.crick.clicker.keyboard + + + vnd.crick.clicker.palette + + application/vnd.crick.clicker.palette + + + vnd.crick.clicker.template + + application/vnd.crick.clicker.template + + + vnd.crick.clicker.wordbank + + application/vnd.crick.clicker.wordbank + + + vnd.criticaltools.wbs+xml + + application/vnd.criticaltools.wbs+xml + + + vnd.cryptii.pipe+json + + application/vnd.cryptii.pipe+json + + + vnd.crypto-shade-file + + application/vnd.crypto-shade-file + + + vnd.cryptomator.encrypted + + application/vnd.cryptomator.encrypted + + + vnd.cryptomator.vault + + application/vnd.cryptomator.vault + + + vnd.ctc-posml + + application/vnd.ctc-posml + + + vnd.ctct.ws+xml + + application/vnd.ctct.ws+xml + + + vnd.cups-pdf + + application/vnd.cups-pdf + + + vnd.cups-postscript + + application/vnd.cups-postscript + + + vnd.cups-ppd + + application/vnd.cups-ppd + + + vnd.cups-raster + + application/vnd.cups-raster + + + vnd.cups-raw + + application/vnd.cups-raw + + + vnd.curl + + application/vnd.curl + + + vnd.cyan.dean.root+xml + + application/vnd.cyan.dean.root+xml + + + vnd.cybank + + application/vnd.cybank + + + vnd.cyclonedx+json + + application/vnd.cyclonedx+json + + + vnd.cyclonedx+xml + + application/vnd.cyclonedx+xml + + + vnd.d2l.coursepackage1p0+zip + + application/vnd.d2l.coursepackage1p0+zip + + + vnd.d3m-dataset + + application/vnd.d3m-dataset + + + vnd.d3m-problem + + application/vnd.d3m-problem + + + vnd.dart + + application/vnd.dart + + + vnd.data-vision.rdz + + application/vnd.data-vision.rdz + + + vnd.datalog + + application/vnd.datalog + + + vnd.datapackage+json + + application/vnd.datapackage+json + + + vnd.dataresource+json + + application/vnd.dataresource+json + + + vnd.dbf + + application/vnd.dbf + + + vnd.debian.binary-package + + application/vnd.debian.binary-package + + + vnd.dece.data + + application/vnd.dece.data + + + vnd.dece.ttml+xml + + application/vnd.dece.ttml+xml + + + vnd.dece.unspecified + + application/vnd.dece.unspecified + + + vnd.dece.zip + + application/vnd.dece.zip + + + vnd.denovo.fcselayout-link + + application/vnd.denovo.fcselayout-link + + + vnd.desmume.movie + + application/vnd.desmume.movie + + + vnd.dir-bi.plate-dl-nosuffix + + application/vnd.dir-bi.plate-dl-nosuffix + + + vnd.dm.delegation+xml + + application/vnd.dm.delegation+xml + + + vnd.dna + + application/vnd.dna + + + vnd.document+json + + application/vnd.document+json + + + vnd.dolby.mobile.1 + + application/vnd.dolby.mobile.1 + + + vnd.dolby.mobile.2 + + application/vnd.dolby.mobile.2 + + + vnd.doremir.scorecloud-binary-document + + application/vnd.doremir.scorecloud-binary-document + + + vnd.dpgraph + + application/vnd.dpgraph + + + vnd.dreamfactory + + application/vnd.dreamfactory + + + vnd.drive+json + + application/vnd.drive+json + + + vnd.dtg.local + + application/vnd.dtg.local + + + vnd.dtg.local.flash + + application/vnd.dtg.local.flash + + + vnd.dtg.local.html + + application/vnd.dtg.local.html + + + vnd.dvb.ait + + + application/vnd.dvb.ait + + + vnd.dvb.dvbisl+xml + + application/vnd.dvb.dvbisl+xml + + + vnd.dvb.dvbj + + + application/vnd.dvb.dvbj + + + vnd.dvb.esgcontainer + + application/vnd.dvb.esgcontainer + + + vnd.dvb.ipdcdftnotifaccess + + application/vnd.dvb.ipdcdftnotifaccess + + + vnd.dvb.ipdcesgaccess + + application/vnd.dvb.ipdcesgaccess + + + vnd.dvb.ipdcesgaccess2 + + application/vnd.dvb.ipdcesgaccess2 + + + vnd.dvb.ipdcesgpdd + + application/vnd.dvb.ipdcesgpdd + + + vnd.dvb.ipdcroaming + + application/vnd.dvb.ipdcroaming + + + vnd.dvb.iptv.alfec-base + + application/vnd.dvb.iptv.alfec-base + + + vnd.dvb.iptv.alfec-enhancement + + application/vnd.dvb.iptv.alfec-enhancement + + + vnd.dvb.notif-aggregate-root+xml + + application/vnd.dvb.notif-aggregate-root+xml + + + vnd.dvb.notif-container+xml + + application/vnd.dvb.notif-container+xml + + + vnd.dvb.notif-generic+xml + + application/vnd.dvb.notif-generic+xml + + + vnd.dvb.notif-ia-msglist+xml + + application/vnd.dvb.notif-ia-msglist+xml + + + vnd.dvb.notif-ia-registration-request+xml + + application/vnd.dvb.notif-ia-registration-request+xml + + + vnd.dvb.notif-ia-registration-response+xml + + application/vnd.dvb.notif-ia-registration-response+xml + + + vnd.dvb.notif-init+xml + + application/vnd.dvb.notif-init+xml + + + vnd.dvb.pfr + + + application/vnd.dvb.pfr + + + vnd.dvb.service + + + application/vnd.dvb.service + + + vnd.dxr + + application/vnd.dxr + + + vnd.dynageo + + application/vnd.dynageo + + + vnd.dzr + + application/vnd.dzr + + + vnd.easykaraoke.cdgdownload + + application/vnd.easykaraoke.cdgdownload + + + vnd.ecip.rlp + + application/vnd.ecip.rlp + + + vnd.ecdis-update + + application/vnd.ecdis-update + + + vnd.eclipse.ditto+json + + application/vnd.eclipse.ditto+json + + + vnd.ecowin.chart + + application/vnd.ecowin.chart + + + vnd.ecowin.filerequest + + application/vnd.ecowin.filerequest + + + vnd.ecowin.fileupdate + + application/vnd.ecowin.fileupdate + + + vnd.ecowin.series + + application/vnd.ecowin.series + + + vnd.ecowin.seriesrequest + + application/vnd.ecowin.seriesrequest + + + vnd.ecowin.seriesupdate + + application/vnd.ecowin.seriesupdate + + + vnd.efi.img + + + application/vnd.efi.img + + + vnd.efi.iso + + + application/vnd.efi.iso + + + vnd.eln+zip + + application/vnd.eln+zip + + + vnd.emclient.accessrequest+xml + + application/vnd.emclient.accessrequest+xml + + + vnd.enliven + + application/vnd.enliven + + + vnd.enphase.envoy + + application/vnd.enphase.envoy + + + vnd.eprints.data+xml + + application/vnd.eprints.data+xml + + + vnd.epson.esf + + application/vnd.epson.esf + + + vnd.epson.msf + + application/vnd.epson.msf + + + vnd.epson.quickanime + + application/vnd.epson.quickanime + + + vnd.epson.salt + + application/vnd.epson.salt + + + vnd.epson.ssf + + application/vnd.epson.ssf + + + vnd.ericsson.quickcall + + application/vnd.ericsson.quickcall + + + vnd.erofs + + application/vnd.erofs + + + vnd.espass-espass+zip + + application/vnd.espass-espass+zip + + + vnd.eszigno3+xml + + application/vnd.eszigno3+xml + + + vnd.etsi.aoc+xml + + application/vnd.etsi.aoc+xml + + + vnd.etsi.asic-s+zip + + application/vnd.etsi.asic-s+zip + + + vnd.etsi.asic-e+zip + + application/vnd.etsi.asic-e+zip + + + vnd.etsi.cug+xml + + application/vnd.etsi.cug+xml + + + vnd.etsi.iptvcommand+xml + + application/vnd.etsi.iptvcommand+xml + + + vnd.etsi.iptvdiscovery+xml + + application/vnd.etsi.iptvdiscovery+xml + + + vnd.etsi.iptvprofile+xml + + application/vnd.etsi.iptvprofile+xml + + + vnd.etsi.iptvsad-bc+xml + + application/vnd.etsi.iptvsad-bc+xml + + + vnd.etsi.iptvsad-cod+xml + + application/vnd.etsi.iptvsad-cod+xml + + + vnd.etsi.iptvsad-npvr+xml + + application/vnd.etsi.iptvsad-npvr+xml + + + vnd.etsi.iptvservice+xml + + application/vnd.etsi.iptvservice+xml + + + vnd.etsi.iptvsync+xml + + application/vnd.etsi.iptvsync+xml + + + vnd.etsi.iptvueprofile+xml + + application/vnd.etsi.iptvueprofile+xml + + + vnd.etsi.mcid+xml + + application/vnd.etsi.mcid+xml + + + vnd.etsi.mheg5 + + + application/vnd.etsi.mheg5 + + + vnd.etsi.overload-control-policy-dataset+xml + + application/vnd.etsi.overload-control-policy-dataset+xml + + + vnd.etsi.pstn+xml + + + application/vnd.etsi.pstn+xml + + + vnd.etsi.sci+xml + + application/vnd.etsi.sci+xml + + + vnd.etsi.simservs+xml + + application/vnd.etsi.simservs+xml + + + vnd.etsi.timestamp-token + + application/vnd.etsi.timestamp-token + + + vnd.etsi.tsl+xml + + application/vnd.etsi.tsl+xml + + + vnd.etsi.tsl.der + + application/vnd.etsi.tsl.der + + + vnd.eu.kasparian.car+json + + application/vnd.eu.kasparian.car+json + + + vnd.eudora.data + + application/vnd.eudora.data + + + vnd.evolv.ecig.profile + + application/vnd.evolv.ecig.profile + + + vnd.evolv.ecig.settings + + application/vnd.evolv.ecig.settings + + + vnd.evolv.ecig.theme + + application/vnd.evolv.ecig.theme + + + vnd.exstream-empower+zip + + application/vnd.exstream-empower+zip + + + vnd.exstream-package + + application/vnd.exstream-package + + + vnd.ezpix-album + + application/vnd.ezpix-album + + + vnd.ezpix-package + + application/vnd.ezpix-package + + + vnd.f-secure.mobile + + application/vnd.f-secure.mobile + + + vnd.fastcopy-disk-image + + application/vnd.fastcopy-disk-image + + + vnd.familysearch.gedcom+zip + + application/vnd.familysearch.gedcom+zip + + + vnd.fdsn.mseed + + application/vnd.fdsn.mseed + + + vnd.fdsn.seed + + application/vnd.fdsn.seed + + + vnd.ffsns + + application/vnd.ffsns + + + vnd.ficlab.flb+zip + + application/vnd.ficlab.flb+zip + + + vnd.filmit.zfc + + application/vnd.filmit.zfc + + + vnd.fints + + application/vnd.fints + + + vnd.firemonkeys.cloudcell + + application/vnd.firemonkeys.cloudcell + + + vnd.FloGraphIt + + application/vnd.FloGraphIt + + + vnd.fluxtime.clip + + application/vnd.fluxtime.clip + + + vnd.font-fontforge-sfd + + application/vnd.font-fontforge-sfd + + + vnd.framemaker + + application/vnd.framemaker + + + vnd.freelog.comic + + application/vnd.freelog.comic + + + vnd.frogans.fnc (OBSOLETE) + + + application/vnd.frogans.fnc + + + vnd.frogans.ltf (OBSOLETE) + + + application/vnd.frogans.ltf + + + vnd.fsc.weblaunch + + application/vnd.fsc.weblaunch + + + vnd.fujifilm.fb.docuworks + + application/vnd.fujifilm.fb.docuworks + + + vnd.fujifilm.fb.docuworks.binder + + application/vnd.fujifilm.fb.docuworks.binder + + + vnd.fujifilm.fb.docuworks.container + + application/vnd.fujifilm.fb.docuworks.container + + + vnd.fujifilm.fb.jfi+xml + + application/vnd.fujifilm.fb.jfi+xml + + + vnd.fujitsu.oasys + + application/vnd.fujitsu.oasys + + + vnd.fujitsu.oasys2 + + application/vnd.fujitsu.oasys2 + + + vnd.fujitsu.oasys3 + + application/vnd.fujitsu.oasys3 + + + vnd.fujitsu.oasysgp + + application/vnd.fujitsu.oasysgp + + + vnd.fujitsu.oasysprs + + application/vnd.fujitsu.oasysprs + + + vnd.fujixerox.ART4 + + application/vnd.fujixerox.ART4 + + + vnd.fujixerox.ART-EX + + application/vnd.fujixerox.ART-EX + + + vnd.fujixerox.ddd + + application/vnd.fujixerox.ddd + + + vnd.fujixerox.docuworks + + application/vnd.fujixerox.docuworks + + + vnd.fujixerox.docuworks.binder + + application/vnd.fujixerox.docuworks.binder + + + vnd.fujixerox.docuworks.container + + application/vnd.fujixerox.docuworks.container + + + vnd.fujixerox.HBPL + + application/vnd.fujixerox.HBPL + + + vnd.fut-misnet + + application/vnd.fut-misnet + + + vnd.futoin+cbor + + application/vnd.futoin+cbor + + + vnd.futoin+json + + application/vnd.futoin+json + + + vnd.fuzzysheet + + application/vnd.fuzzysheet + + + vnd.ga4gh.passport+jwt + + application/vnd.ga4gh.passport+jwt + + + vnd.genomatix.tuxedo + + application/vnd.genomatix.tuxedo + + + vnd.genozip + + application/vnd.genozip + + + vnd.gentics.grd+json + + application/vnd.gentics.grd+json + + + vnd.gentoo.catmetadata+xml + + application/vnd.gentoo.catmetadata+xml + + + vnd.gentoo.ebuild + + application/vnd.gentoo.ebuild + + + vnd.gentoo.eclass + + application/vnd.gentoo.eclass + + + vnd.gentoo.gpkg + + application/vnd.gentoo.gpkg + + + vnd.gentoo.manifest + + application/vnd.gentoo.manifest + + + vnd.gentoo.xpak + + application/vnd.gentoo.xpak + + + vnd.gentoo.pkgmetadata+xml + + application/vnd.gentoo.pkgmetadata+xml + + + vnd.geo+json (OBSOLETED by in favor of application/geo+json) + + application/vnd.geo+json + + + vnd.geocube+xml (OBSOLETED by request) + + application/vnd.geocube+xml + + + vnd.geogebra.file + + + application/vnd.geogebra.file + + + vnd.geogebra.slides + + + + application/vnd.geogebra.slides + + + vnd.geogebra.tool + + + application/vnd.geogebra.tool + + + vnd.geometry-explorer + + application/vnd.geometry-explorer + + + vnd.geonext + + application/vnd.geonext + + + vnd.geoplan + + application/vnd.geoplan + + + vnd.geospace + + application/vnd.geospace + + + vnd.gerber + + application/vnd.gerber + + + vnd.globalplatform.card-content-mgt + + application/vnd.globalplatform.card-content-mgt + + + vnd.globalplatform.card-content-mgt-response + + application/vnd.globalplatform.card-content-mgt-response + + + vnd.gmx - DEPRECATED + + application/vnd.gmx + + + vnd.gnu.taler.exchange+json + + application/vnd.gnu.taler.exchange+json + + + vnd.gnu.taler.merchant+json + + application/vnd.gnu.taler.merchant+json + + + vnd.google-earth.kml+xml + + application/vnd.google-earth.kml+xml + + + vnd.google-earth.kmz + + application/vnd.google-earth.kmz + + + vnd.gov.sk.e-form+xml (OBSOLETED by request) + + application/vnd.gov.sk.e-form+xml + + + vnd.gov.sk.e-form+zip + + application/vnd.gov.sk.e-form+zip + + + vnd.gov.sk.xmldatacontainer+xml + + application/vnd.gov.sk.xmldatacontainer+xml + + + vnd.gpxsee.map+xml + + application/vnd.gpxsee.map+xml + + + vnd.grafeq + + application/vnd.grafeq + + + vnd.gridmp + + application/vnd.gridmp + + + vnd.groove-account + + application/vnd.groove-account + + + vnd.groove-help + + application/vnd.groove-help + + + vnd.groove-identity-message + + application/vnd.groove-identity-message + + + vnd.groove-injector + + application/vnd.groove-injector + + + vnd.groove-tool-message + + application/vnd.groove-tool-message + + + vnd.groove-tool-template + + application/vnd.groove-tool-template + + + vnd.groove-vcard + + application/vnd.groove-vcard + + + vnd.hal+json + + application/vnd.hal+json + + + vnd.hal+xml + + application/vnd.hal+xml + + + vnd.HandHeld-Entertainment+xml + + application/vnd.HandHeld-Entertainment+xml + + + vnd.hbci + + application/vnd.hbci + + + vnd.hc+json + + application/vnd.hc+json + + + vnd.hcl-bireports + + application/vnd.hcl-bireports + + + vnd.hdt + + application/vnd.hdt + + + vnd.heroku+json + + application/vnd.heroku+json + + + vnd.hhe.lesson-player + + application/vnd.hhe.lesson-player + + + vnd.hp-HPGL + + application/vnd.hp-HPGL + + + vnd.hp-hpid + + application/vnd.hp-hpid + + + vnd.hp-hps + + application/vnd.hp-hps + + + vnd.hp-jlyt + + application/vnd.hp-jlyt + + + vnd.hp-PCL + + application/vnd.hp-PCL + + + vnd.hp-PCLXL + + application/vnd.hp-PCLXL + + + vnd.hsl + + application/vnd.hsl + + + vnd.httphone + + application/vnd.httphone + + + vnd.hydrostatix.sof-data + + application/vnd.hydrostatix.sof-data + + + vnd.hyper-item+json + + application/vnd.hyper-item+json + + + vnd.hyper+json + + application/vnd.hyper+json + + + vnd.hyperdrive+json + + application/vnd.hyperdrive+json + + + vnd.hzn-3d-crossword + + application/vnd.hzn-3d-crossword + + + vnd.ibm.afplinedata (OBSOLETED in favor of vnd.afpc.afplinedata) + + application/vnd.ibm.afplinedata + + + vnd.ibm.electronic-media + + application/vnd.ibm.electronic-media + + + vnd.ibm.MiniPay + + application/vnd.ibm.MiniPay + + + vnd.ibm.modcap (OBSOLETED in favor of application/vnd.afpc.modca) + + application/vnd.ibm.modcap + + + vnd.ibm.rights-management + + application/vnd.ibm.rights-management + + + vnd.ibm.secure-container + + application/vnd.ibm.secure-container + + + vnd.iccprofile + + application/vnd.iccprofile + + + vnd.ieee.1905 + + application/vnd.ieee.1905 + + + vnd.igloader + + application/vnd.igloader + + + vnd.imagemeter.folder+zip + + application/vnd.imagemeter.folder+zip + + + vnd.imagemeter.image+zip + + application/vnd.imagemeter.image+zip + + + vnd.immervision-ivp + + application/vnd.immervision-ivp + + + vnd.immervision-ivu + + application/vnd.immervision-ivu + + + vnd.ims.imsccv1p1 + + application/vnd.ims.imsccv1p1 + + + vnd.ims.imsccv1p2 + + application/vnd.ims.imsccv1p2 + + + vnd.ims.imsccv1p3 + + application/vnd.ims.imsccv1p3 + + + vnd.ims.lis.v2.result+json + + application/vnd.ims.lis.v2.result+json + + + vnd.ims.lti.v2.toolconsumerprofile+json + + application/vnd.ims.lti.v2.toolconsumerprofile+json + + + vnd.ims.lti.v2.toolproxy.id+json + + application/vnd.ims.lti.v2.toolproxy.id+json + + + vnd.ims.lti.v2.toolproxy+json + + application/vnd.ims.lti.v2.toolproxy+json + + + vnd.ims.lti.v2.toolsettings+json + + application/vnd.ims.lti.v2.toolsettings+json + + + vnd.ims.lti.v2.toolsettings.simple+json + + application/vnd.ims.lti.v2.toolsettings.simple+json + + + vnd.informedcontrol.rms+xml + + application/vnd.informedcontrol.rms+xml + + + vnd.infotech.project + + application/vnd.infotech.project + + + vnd.infotech.project+xml + + application/vnd.infotech.project+xml + + + vnd.informix-visionary (OBSOLETED in favor of application/vnd.visionary) + + application/vnd.informix-visionary + + + vnd.innopath.wamp.notification + + application/vnd.innopath.wamp.notification + + + vnd.insors.igm + + application/vnd.insors.igm + + + vnd.intercon.formnet + + application/vnd.intercon.formnet + + + vnd.intergeo + + application/vnd.intergeo + + + vnd.intertrust.digibox + + application/vnd.intertrust.digibox + + + vnd.intertrust.nncp + + application/vnd.intertrust.nncp + + + vnd.intu.qbo + + application/vnd.intu.qbo + + + vnd.intu.qfx + + application/vnd.intu.qfx + + + vnd.ipfs.ipns-record + + application/vnd.ipfs.ipns-record + + + vnd.ipld.car + + application/vnd.ipld.car + + + vnd.ipld.dag-cbor + + application/vnd.ipld.dag-cbor + + + vnd.ipld.dag-json + + application/vnd.ipld.dag-json + + + vnd.ipld.raw + + application/vnd.ipld.raw + + + vnd.iptc.g2.catalogitem+xml + + application/vnd.iptc.g2.catalogitem+xml + + + vnd.iptc.g2.conceptitem+xml + + application/vnd.iptc.g2.conceptitem+xml + + + vnd.iptc.g2.knowledgeitem+xml + + application/vnd.iptc.g2.knowledgeitem+xml + + + vnd.iptc.g2.newsitem+xml + + application/vnd.iptc.g2.newsitem+xml + + + vnd.iptc.g2.newsmessage+xml + + application/vnd.iptc.g2.newsmessage+xml + + + vnd.iptc.g2.packageitem+xml + + application/vnd.iptc.g2.packageitem+xml + + + vnd.iptc.g2.planningitem+xml + + application/vnd.iptc.g2.planningitem+xml + + + vnd.ipunplugged.rcprofile + + application/vnd.ipunplugged.rcprofile + + + vnd.irepository.package+xml + + application/vnd.irepository.package+xml + + + vnd.is-xpr + + application/vnd.is-xpr + + + vnd.isac.fcs + + application/vnd.isac.fcs + + + vnd.jam + + application/vnd.jam + + + vnd.iso11783-10+zip + + application/vnd.iso11783-10+zip + + + vnd.japannet-directory-service + + application/vnd.japannet-directory-service + + + vnd.japannet-jpnstore-wakeup + + application/vnd.japannet-jpnstore-wakeup + + + vnd.japannet-payment-wakeup + + application/vnd.japannet-payment-wakeup + + + vnd.japannet-registration + + application/vnd.japannet-registration + + + vnd.japannet-registration-wakeup + + application/vnd.japannet-registration-wakeup + + + vnd.japannet-setstore-wakeup + + application/vnd.japannet-setstore-wakeup + + + vnd.japannet-verification + + application/vnd.japannet-verification + + + vnd.japannet-verification-wakeup + + application/vnd.japannet-verification-wakeup + + + vnd.jcp.javame.midlet-rms + + application/vnd.jcp.javame.midlet-rms + + + vnd.jisp + + application/vnd.jisp + + + vnd.joost.joda-archive + + application/vnd.joost.joda-archive + + + vnd.jsk.isdn-ngn + + application/vnd.jsk.isdn-ngn + + + vnd.kahootz + + application/vnd.kahootz + + + vnd.kde.karbon + + application/vnd.kde.karbon + + + vnd.kde.kchart + + application/vnd.kde.kchart + + + vnd.kde.kformula + + application/vnd.kde.kformula + + + vnd.kde.kivio + + application/vnd.kde.kivio + + + vnd.kde.kontour + + application/vnd.kde.kontour + + + vnd.kde.kpresenter + + application/vnd.kde.kpresenter + + + vnd.kde.kspread + + application/vnd.kde.kspread + + + vnd.kde.kword + + application/vnd.kde.kword + + + vnd.kenameaapp + + application/vnd.kenameaapp + + + vnd.kidspiration + + application/vnd.kidspiration + + + vnd.Kinar + + application/vnd.Kinar + + + vnd.koan + + application/vnd.koan + + + vnd.kodak-descriptor + + application/vnd.kodak-descriptor + + + vnd.las + + + application/vnd.las + + + vnd.las.las+json + + application/vnd.las.las+json + + + vnd.las.las+xml + + application/vnd.las.las+xml + + + vnd.laszip + + + application/vnd.laszip + + + vnd.ldev.productlicensing + + application/vnd.ldev.productlicensing + + + vnd.leap+json + + application/vnd.leap+json + + + vnd.liberty-request+xml + + application/vnd.liberty-request+xml + + + vnd.llamagraphics.life-balance.desktop + + application/vnd.llamagraphics.life-balance.desktop + + + vnd.llamagraphics.life-balance.exchange+xml + + application/vnd.llamagraphics.life-balance.exchange+xml + + + vnd.logipipe.circuit+zip + + application/vnd.logipipe.circuit+zip + + + vnd.loom + + application/vnd.loom + + + vnd.lotus-1-2-3 + + application/vnd.lotus-1-2-3 + + + vnd.lotus-approach + + application/vnd.lotus-approach + + + vnd.lotus-freelance + + application/vnd.lotus-freelance + + + vnd.lotus-notes + + application/vnd.lotus-notes + + + vnd.lotus-organizer + + application/vnd.lotus-organizer + + + vnd.lotus-screencam + + application/vnd.lotus-screencam + + + vnd.lotus-wordpro + + application/vnd.lotus-wordpro + + + vnd.macports.portpkg + + application/vnd.macports.portpkg + + + vnd.mapbox-vector-tile + + application/vnd.mapbox-vector-tile + + + vnd.marlin.drm.actiontoken+xml + + application/vnd.marlin.drm.actiontoken+xml + + + vnd.marlin.drm.conftoken+xml + + application/vnd.marlin.drm.conftoken+xml + + + vnd.marlin.drm.license+xml + + application/vnd.marlin.drm.license+xml + + + vnd.marlin.drm.mdcf + + application/vnd.marlin.drm.mdcf + + + vnd.mason+json + + application/vnd.mason+json + + + vnd.maxar.archive.3tz+zip + + application/vnd.maxar.archive.3tz+zip + + + vnd.maxmind.maxmind-db + + application/vnd.maxmind.maxmind-db + + + vnd.mcd + + application/vnd.mcd + + + vnd.mdl + + application/vnd.mdl + + + vnd.mdl-mbsdf + + application/vnd.mdl-mbsdf + + + vnd.medcalcdata + + application/vnd.medcalcdata + + + vnd.mediastation.cdkey + + application/vnd.mediastation.cdkey + + + vnd.medicalholodeck.recordxr + + application/vnd.medicalholodeck.recordxr + + + vnd.meridian-slingshot + + application/vnd.meridian-slingshot + + + vnd.mermaid + + application/vnd.mermaid + + + vnd.MFER + + application/vnd.MFER + + + vnd.mfmp + + application/vnd.mfmp + + + vnd.micro+json + + application/vnd.micro+json + + + vnd.micrografx.flo + + application/vnd.micrografx.flo + + + vnd.micrografx.igx + + application/vnd.micrografx.igx + + + vnd.microsoft.portable-executable + + application/vnd.microsoft.portable-executable + + + vnd.microsoft.windows.thumbnail-cache + + application/vnd.microsoft.windows.thumbnail-cache + + + vnd.miele+json + + application/vnd.miele+json + + + vnd.mif + + application/vnd.mif + + + vnd.minisoft-hp3000-save + + application/vnd.minisoft-hp3000-save + + + vnd.mitsubishi.misty-guard.trustweb + + application/vnd.mitsubishi.misty-guard.trustweb + + + vnd.Mobius.DAF + + application/vnd.Mobius.DAF + + + vnd.Mobius.DIS + + application/vnd.Mobius.DIS + + + vnd.Mobius.MBK + + application/vnd.Mobius.MBK + + + vnd.Mobius.MQY + + application/vnd.Mobius.MQY + + + vnd.Mobius.MSL + + application/vnd.Mobius.MSL + + + vnd.Mobius.PLC + + application/vnd.Mobius.PLC + + + vnd.Mobius.TXF + + application/vnd.Mobius.TXF + + + vnd.modl + + application/vnd.modl + + + vnd.mophun.application + + application/vnd.mophun.application + + + vnd.mophun.certificate + + application/vnd.mophun.certificate + + + vnd.motorola.flexsuite + + application/vnd.motorola.flexsuite + + + vnd.motorola.flexsuite.adsi + + application/vnd.motorola.flexsuite.adsi + + + vnd.motorola.flexsuite.fis + + application/vnd.motorola.flexsuite.fis + + + vnd.motorola.flexsuite.gotap + + application/vnd.motorola.flexsuite.gotap + + + vnd.motorola.flexsuite.kmr + + application/vnd.motorola.flexsuite.kmr + + + vnd.motorola.flexsuite.ttc + + application/vnd.motorola.flexsuite.ttc + + + vnd.motorola.flexsuite.wem + + application/vnd.motorola.flexsuite.wem + + + vnd.motorola.iprm + + application/vnd.motorola.iprm + + + vnd.mozilla.xul+xml + + application/vnd.mozilla.xul+xml + + + vnd.ms-artgalry + + application/vnd.ms-artgalry + + + vnd.ms-asf + + application/vnd.ms-asf + + + vnd.ms-cab-compressed + + application/vnd.ms-cab-compressed + + + vnd.ms-3mfdocument + + application/vnd.ms-3mfdocument + + + vnd.ms-excel + + application/vnd.ms-excel + + + vnd.ms-excel.addin.macroEnabled.12 + + application/vnd.ms-excel.addin.macroEnabled.12 + + + vnd.ms-excel.sheet.binary.macroEnabled.12 + + application/vnd.ms-excel.sheet.binary.macroEnabled.12 + + + vnd.ms-excel.sheet.macroEnabled.12 + + application/vnd.ms-excel.sheet.macroEnabled.12 + + + vnd.ms-excel.template.macroEnabled.12 + + application/vnd.ms-excel.template.macroEnabled.12 + + + vnd.ms-fontobject + + application/vnd.ms-fontobject + + + vnd.ms-htmlhelp + + application/vnd.ms-htmlhelp + + + vnd.ms-ims + + application/vnd.ms-ims + + + vnd.ms-lrm + + application/vnd.ms-lrm + + + vnd.ms-office.activeX+xml + + application/vnd.ms-office.activeX+xml + + + vnd.ms-officetheme + + application/vnd.ms-officetheme + + + vnd.ms-playready.initiator+xml + + application/vnd.ms-playready.initiator+xml + + + vnd.ms-powerpoint + + application/vnd.ms-powerpoint + + + vnd.ms-powerpoint.addin.macroEnabled.12 + + application/vnd.ms-powerpoint.addin.macroEnabled.12 + + + vnd.ms-powerpoint.presentation.macroEnabled.12 + + application/vnd.ms-powerpoint.presentation.macroEnabled.12 + + + vnd.ms-powerpoint.slide.macroEnabled.12 + + application/vnd.ms-powerpoint.slide.macroEnabled.12 + + + vnd.ms-powerpoint.slideshow.macroEnabled.12 + + application/vnd.ms-powerpoint.slideshow.macroEnabled.12 + + + vnd.ms-powerpoint.template.macroEnabled.12 + + application/vnd.ms-powerpoint.template.macroEnabled.12 + + + vnd.ms-PrintDeviceCapabilities+xml + + application/vnd.ms-PrintDeviceCapabilities+xml + + + vnd.ms-PrintSchemaTicket+xml + + application/vnd.ms-PrintSchemaTicket+xml + + + vnd.ms-project + + application/vnd.ms-project + + + vnd.ms-tnef + + application/vnd.ms-tnef + + + vnd.ms-windows.devicepairing + + application/vnd.ms-windows.devicepairing + + + vnd.ms-windows.nwprinting.oob + + application/vnd.ms-windows.nwprinting.oob + + + vnd.ms-windows.printerpairing + + application/vnd.ms-windows.printerpairing + + + vnd.ms-windows.wsd.oob + + application/vnd.ms-windows.wsd.oob + + + vnd.ms-wmdrm.lic-chlg-req + + application/vnd.ms-wmdrm.lic-chlg-req + + + vnd.ms-wmdrm.lic-resp + + application/vnd.ms-wmdrm.lic-resp + + + vnd.ms-wmdrm.meter-chlg-req + + application/vnd.ms-wmdrm.meter-chlg-req + + + vnd.ms-wmdrm.meter-resp + + application/vnd.ms-wmdrm.meter-resp + + + vnd.ms-word.document.macroEnabled.12 + + application/vnd.ms-word.document.macroEnabled.12 + + + vnd.ms-word.template.macroEnabled.12 + + application/vnd.ms-word.template.macroEnabled.12 + + + vnd.ms-works + + application/vnd.ms-works + + + vnd.ms-wpl + + application/vnd.ms-wpl + + + vnd.ms-xpsdocument + + application/vnd.ms-xpsdocument + + + vnd.msa-disk-image + + application/vnd.msa-disk-image + + + vnd.mseq + + application/vnd.mseq + + + vnd.msgpack + + application/vnd.msgpack + + + vnd.msign + + application/vnd.msign + + + vnd.multiad.creator + + application/vnd.multiad.creator + + + vnd.multiad.creator.cif + + application/vnd.multiad.creator.cif + + + vnd.musician + + application/vnd.musician + + + vnd.music-niff + + application/vnd.music-niff + + + vnd.muvee.style + + application/vnd.muvee.style + + + vnd.mynfc + + application/vnd.mynfc + + + vnd.nacamar.ybrid+json + + application/vnd.nacamar.ybrid+json + + + vnd.nato.bindingdataobject+cbor + + application/vnd.nato.bindingdataobject+cbor + + + vnd.nato.bindingdataobject+json + + application/vnd.nato.bindingdataobject+json + + + vnd.nato.bindingdataobject+xml + + application/vnd.nato.bindingdataobject+xml + + + vnd.nato.openxmlformats-package.iepd+zip + + application/vnd.nato.openxmlformats-package.iepd+zip + + + vnd.ncd.control + + application/vnd.ncd.control + + + vnd.ncd.reference + + application/vnd.ncd.reference + + + vnd.nearst.inv+json + + application/vnd.nearst.inv+json + + + vnd.nebumind.line + + application/vnd.nebumind.line + + + vnd.nervana + + application/vnd.nervana + + + vnd.netfpx + + application/vnd.netfpx + + + vnd.neurolanguage.nlu + + application/vnd.neurolanguage.nlu + + + vnd.nimn + + application/vnd.nimn + + + vnd.nintendo.snes.rom + + application/vnd.nintendo.snes.rom + + + vnd.nintendo.nitro.rom + + application/vnd.nintendo.nitro.rom + + + vnd.nitf + + application/vnd.nitf + + + vnd.noblenet-directory + + application/vnd.noblenet-directory + + + vnd.noblenet-sealer + + application/vnd.noblenet-sealer + + + vnd.noblenet-web + + application/vnd.noblenet-web + + + vnd.nokia.catalogs + + application/vnd.nokia.catalogs + + + vnd.nokia.conml+wbxml + + application/vnd.nokia.conml+wbxml + + + vnd.nokia.conml+xml + + application/vnd.nokia.conml+xml + + + vnd.nokia.iptv.config+xml + + application/vnd.nokia.iptv.config+xml + + + vnd.nokia.iSDS-radio-presets + + application/vnd.nokia.iSDS-radio-presets + + + vnd.nokia.landmark+wbxml + + application/vnd.nokia.landmark+wbxml + + + vnd.nokia.landmark+xml + + application/vnd.nokia.landmark+xml + + + vnd.nokia.landmarkcollection+xml + + application/vnd.nokia.landmarkcollection+xml + + + vnd.nokia.ncd + + application/vnd.nokia.ncd + + + vnd.nokia.n-gage.ac+xml + + application/vnd.nokia.n-gage.ac+xml + + + vnd.nokia.n-gage.data + + application/vnd.nokia.n-gage.data + + + vnd.nokia.n-gage.symbian.install (OBSOLETE; no replacement given) + + application/vnd.nokia.n-gage.symbian.install + + + vnd.nokia.pcd+wbxml + + application/vnd.nokia.pcd+wbxml + + + vnd.nokia.pcd+xml + + application/vnd.nokia.pcd+xml + + + vnd.nokia.radio-preset + + application/vnd.nokia.radio-preset + + + vnd.nokia.radio-presets + + application/vnd.nokia.radio-presets + + + vnd.novadigm.EDM + + application/vnd.novadigm.EDM + + + vnd.novadigm.EDX + + application/vnd.novadigm.EDX + + + vnd.novadigm.EXT + + application/vnd.novadigm.EXT + + + vnd.ntt-local.content-share + + application/vnd.ntt-local.content-share + + + vnd.ntt-local.file-transfer + + application/vnd.ntt-local.file-transfer + + + vnd.ntt-local.ogw_remote-access + + application/vnd.ntt-local.ogw_remote-access + + + vnd.ntt-local.sip-ta_remote + + application/vnd.ntt-local.sip-ta_remote + + + vnd.ntt-local.sip-ta_tcp_stream + + application/vnd.ntt-local.sip-ta_tcp_stream + + + vnd.oai.workflows + + application/vnd.oai.workflows + + + vnd.oai.workflows+json + + application/vnd.oai.workflows+json + + + vnd.oai.workflows+yaml + + application/vnd.oai.workflows+yaml + + + vnd.oasis.opendocument.base + + + application/vnd.oasis.opendocument.base + + + vnd.oasis.opendocument.chart + + + application/vnd.oasis.opendocument.chart + + + vnd.oasis.opendocument.chart-template + + + application/vnd.oasis.opendocument.chart-template + + + vnd.oasis.opendocument.database (OBSOLETED in favor of application/vnd.oasis.opendocument.base) + + + application/vnd.oasis.opendocument.database + + + vnd.oasis.opendocument.formula + + + application/vnd.oasis.opendocument.formula + + + vnd.oasis.opendocument.formula-template + + + application/vnd.oasis.opendocument.formula-template + + + vnd.oasis.opendocument.graphics + + + application/vnd.oasis.opendocument.graphics + + + vnd.oasis.opendocument.graphics-template + + + application/vnd.oasis.opendocument.graphics-template + + + vnd.oasis.opendocument.image + + + application/vnd.oasis.opendocument.image + + + vnd.oasis.opendocument.image-template + + + application/vnd.oasis.opendocument.image-template + + + vnd.oasis.opendocument.presentation + + + application/vnd.oasis.opendocument.presentation + + + vnd.oasis.opendocument.presentation-template + + + application/vnd.oasis.opendocument.presentation-template + + + vnd.oasis.opendocument.spreadsheet + + + application/vnd.oasis.opendocument.spreadsheet + + + vnd.oasis.opendocument.spreadsheet-template + + + application/vnd.oasis.opendocument.spreadsheet-template + + + vnd.oasis.opendocument.text + + + application/vnd.oasis.opendocument.text + + + vnd.oasis.opendocument.text-master + + + application/vnd.oasis.opendocument.text-master + + + vnd.oasis.opendocument.text-master-template + + + application/vnd.oasis.opendocument.text-master-template + + + vnd.oasis.opendocument.text-template + + + application/vnd.oasis.opendocument.text-template + + + vnd.oasis.opendocument.text-web + + + application/vnd.oasis.opendocument.text-web + + + vnd.obn + + application/vnd.obn + + + vnd.ocf+cbor + + application/vnd.ocf+cbor + + + vnd.oci.image.manifest.v1+json + + application/vnd.oci.image.manifest.v1+json + + + vnd.oftn.l10n+json + + application/vnd.oftn.l10n+json + + + vnd.oipf.contentaccessdownload+xml + + application/vnd.oipf.contentaccessdownload+xml + + + vnd.oipf.contentaccessstreaming+xml + + application/vnd.oipf.contentaccessstreaming+xml + + + vnd.oipf.cspg-hexbinary + + application/vnd.oipf.cspg-hexbinary + + + vnd.oipf.dae.svg+xml + + application/vnd.oipf.dae.svg+xml + + + vnd.oipf.dae.xhtml+xml + + application/vnd.oipf.dae.xhtml+xml + + + vnd.oipf.mippvcontrolmessage+xml + + application/vnd.oipf.mippvcontrolmessage+xml + + + vnd.oipf.pae.gem + + application/vnd.oipf.pae.gem + + + vnd.oipf.spdiscovery+xml + + application/vnd.oipf.spdiscovery+xml + + + vnd.oipf.spdlist+xml + + application/vnd.oipf.spdlist+xml + + + vnd.oipf.ueprofile+xml + + application/vnd.oipf.ueprofile+xml + + + vnd.oipf.userprofile+xml + + application/vnd.oipf.userprofile+xml + + + vnd.olpc-sugar + + application/vnd.olpc-sugar + + + vnd.oma.bcast.associated-procedure-parameter+xml + + + application/vnd.oma.bcast.associated-procedure-parameter+xml + + + vnd.oma.bcast.drm-trigger+xml + + + application/vnd.oma.bcast.drm-trigger+xml + + + vnd.oma.bcast.imd+xml + + + application/vnd.oma.bcast.imd+xml + + + vnd.oma.bcast.ltkm + + + application/vnd.oma.bcast.ltkm + + + vnd.oma.bcast.notification+xml + + + application/vnd.oma.bcast.notification+xml + + + vnd.oma.bcast.provisioningtrigger + + + application/vnd.oma.bcast.provisioningtrigger + + + vnd.oma.bcast.sgboot + + + application/vnd.oma.bcast.sgboot + + + vnd.oma.bcast.sgdd+xml + + + application/vnd.oma.bcast.sgdd+xml + + + vnd.oma.bcast.sgdu + + + application/vnd.oma.bcast.sgdu + + + vnd.oma.bcast.simple-symbol-container + + + application/vnd.oma.bcast.simple-symbol-container + + + vnd.oma.bcast.smartcard-trigger+xml + + + application/vnd.oma.bcast.smartcard-trigger+xml + + + vnd.oma.bcast.sprov+xml + + + application/vnd.oma.bcast.sprov+xml + + + vnd.oma.bcast.stkm + + + application/vnd.oma.bcast.stkm + + + vnd.oma.cab-address-book+xml + + + application/vnd.oma.cab-address-book+xml + + + vnd.oma.cab-feature-handler+xml + + + application/vnd.oma.cab-feature-handler+xml + + + vnd.oma.cab-pcc+xml + + + application/vnd.oma.cab-pcc+xml + + + vnd.oma.cab-subs-invite+xml + + + application/vnd.oma.cab-subs-invite+xml + + + vnd.oma.cab-user-prefs+xml + + + application/vnd.oma.cab-user-prefs+xml + + + vnd.oma.dcd + + + application/vnd.oma.dcd + + + vnd.oma.dcdc + + + application/vnd.oma.dcdc + + + vnd.oma.dd2+xml + + + application/vnd.oma.dd2+xml + + + vnd.oma.drm.risd+xml + + + application/vnd.oma.drm.risd+xml + + + vnd.oma.group-usage-list+xml + + + application/vnd.oma.group-usage-list+xml + + + vnd.oma.lwm2m+cbor + + + application/vnd.oma.lwm2m+cbor + + + vnd.oma.lwm2m+json + + + application/vnd.oma.lwm2m+json + + + vnd.oma.lwm2m+tlv + + + application/vnd.oma.lwm2m+tlv + + + vnd.oma.pal+xml + + + application/vnd.oma.pal+xml + + + vnd.oma.poc.detailed-progress-report+xml + + application/vnd.oma.poc.detailed-progress-report+xml + + + vnd.oma.poc.final-report+xml + + application/vnd.oma.poc.final-report+xml + + + vnd.oma.poc.groups+xml + + + application/vnd.oma.poc.groups+xml + + + vnd.oma.poc.invocation-descriptor+xml + + application/vnd.oma.poc.invocation-descriptor+xml + + + vnd.oma.poc.optimized-progress-report+xml + + application/vnd.oma.poc.optimized-progress-report+xml + + + vnd.oma.push + + + application/vnd.oma.push + + + vnd.oma.scidm.messages+xml + + + application/vnd.oma.scidm.messages+xml + + + vnd.oma.xcap-directory+xml + + + application/vnd.oma.xcap-directory+xml + + + vnd.omads-email+xml + + application/vnd.omads-email+xml + + + vnd.omads-file+xml + + application/vnd.omads-file+xml + + + vnd.omads-folder+xml + + application/vnd.omads-folder+xml + + + vnd.omaloc-supl-init + + application/vnd.omaloc-supl-init + + + vnd.oma-scws-config + + application/vnd.oma-scws-config + + + vnd.oma-scws-http-request + + application/vnd.oma-scws-http-request + + + vnd.oma-scws-http-response + + application/vnd.oma-scws-http-response + + + vnd.onepager + + application/vnd.onepager + + + vnd.onepagertamp + + application/vnd.onepagertamp + + + vnd.onepagertamx + + application/vnd.onepagertamx + + + vnd.onepagertat + + application/vnd.onepagertat + + + vnd.onepagertatp + + application/vnd.onepagertatp + + + vnd.onepagertatx + + application/vnd.onepagertatx + + + vnd.onvif.metadata + + application/vnd.onvif.metadata + + + vnd.openblox.game-binary + + application/vnd.openblox.game-binary + + + vnd.openblox.game+xml + + application/vnd.openblox.game+xml + + + vnd.openeye.oeb + + application/vnd.openeye.oeb + + + vnd.openstreetmap.data+xml + + application/vnd.openstreetmap.data+xml + + + vnd.opentimestamps.ots + + application/vnd.opentimestamps.ots + + + vnd.openxmlformats-officedocument.custom-properties+xml + + application/vnd.openxmlformats-officedocument.custom-properties+xml + + + vnd.openxmlformats-officedocument.customXmlProperties+xml + + application/vnd.openxmlformats-officedocument.customXmlProperties+xml + + + vnd.openxmlformats-officedocument.drawing+xml + + application/vnd.openxmlformats-officedocument.drawing+xml + + + vnd.openxmlformats-officedocument.drawingml.chart+xml + + application/vnd.openxmlformats-officedocument.drawingml.chart+xml + + + vnd.openxmlformats-officedocument.drawingml.chartshapes+xml + + application/vnd.openxmlformats-officedocument.drawingml.chartshapes+xml + + + vnd.openxmlformats-officedocument.drawingml.diagramColors+xml + + application/vnd.openxmlformats-officedocument.drawingml.diagramColors+xml + + + vnd.openxmlformats-officedocument.drawingml.diagramData+xml + + application/vnd.openxmlformats-officedocument.drawingml.diagramData+xml + + + vnd.openxmlformats-officedocument.drawingml.diagramLayout+xml + + application/vnd.openxmlformats-officedocument.drawingml.diagramLayout+xml + + + vnd.openxmlformats-officedocument.drawingml.diagramStyle+xml + + application/vnd.openxmlformats-officedocument.drawingml.diagramStyle+xml + + + vnd.openxmlformats-officedocument.extended-properties+xml + + application/vnd.openxmlformats-officedocument.extended-properties+xml + + + vnd.openxmlformats-officedocument.presentationml.commentAuthors+xml + + application/vnd.openxmlformats-officedocument.presentationml.commentAuthors+xml + + + vnd.openxmlformats-officedocument.presentationml.comments+xml + + application/vnd.openxmlformats-officedocument.presentationml.comments+xml + + + vnd.openxmlformats-officedocument.presentationml.handoutMaster+xml + + application/vnd.openxmlformats-officedocument.presentationml.handoutMaster+xml + + + vnd.openxmlformats-officedocument.presentationml.notesMaster+xml + + application/vnd.openxmlformats-officedocument.presentationml.notesMaster+xml + + + vnd.openxmlformats-officedocument.presentationml.notesSlide+xml + + application/vnd.openxmlformats-officedocument.presentationml.notesSlide+xml + + + vnd.openxmlformats-officedocument.presentationml.presentation + + application/vnd.openxmlformats-officedocument.presentationml.presentation + + + vnd.openxmlformats-officedocument.presentationml.presentation.main+xml + + application/vnd.openxmlformats-officedocument.presentationml.presentation.main+xml + + + vnd.openxmlformats-officedocument.presentationml.presProps+xml + + application/vnd.openxmlformats-officedocument.presentationml.presProps+xml + + + vnd.openxmlformats-officedocument.presentationml.slide + + application/vnd.openxmlformats-officedocument.presentationml.slide + + + vnd.openxmlformats-officedocument.presentationml.slide+xml + + application/vnd.openxmlformats-officedocument.presentationml.slide+xml + + + vnd.openxmlformats-officedocument.presentationml.slideLayout+xml + + application/vnd.openxmlformats-officedocument.presentationml.slideLayout+xml + + + vnd.openxmlformats-officedocument.presentationml.slideMaster+xml + + application/vnd.openxmlformats-officedocument.presentationml.slideMaster+xml + + + vnd.openxmlformats-officedocument.presentationml.slideshow + + application/vnd.openxmlformats-officedocument.presentationml.slideshow + + + vnd.openxmlformats-officedocument.presentationml.slideshow.main+xml + + application/vnd.openxmlformats-officedocument.presentationml.slideshow.main+xml + + + vnd.openxmlformats-officedocument.presentationml.slideUpdateInfo+xml + + application/vnd.openxmlformats-officedocument.presentationml.slideUpdateInfo+xml + + + vnd.openxmlformats-officedocument.presentationml.tableStyles+xml + + application/vnd.openxmlformats-officedocument.presentationml.tableStyles+xml + + + vnd.openxmlformats-officedocument.presentationml.tags+xml + + application/vnd.openxmlformats-officedocument.presentationml.tags+xml + + + vnd.openxmlformats-officedocument.presentationml.template + + application/vnd.openxmlformats-officedocument.presentationml.template + + + vnd.openxmlformats-officedocument.presentationml.template.main+xml + + application/vnd.openxmlformats-officedocument.presentationml.template.main+xml + + + vnd.openxmlformats-officedocument.presentationml.viewProps+xml + + application/vnd.openxmlformats-officedocument.presentationml.viewProps+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.calcChain+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.calcChain+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.chartsheet+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.chartsheet+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.comments+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.comments+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.connections+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.connections+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.dialogsheet+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.dialogsheet+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.externalLink+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.externalLink+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.pivotCacheDefinition+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.pivotCacheDefinition+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.pivotCacheRecords+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.pivotCacheRecords+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.pivotTable+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.pivotTable+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.queryTable+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.queryTable+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.revisionHeaders+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.revisionHeaders+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.revisionLog+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.revisionLog+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.sharedStrings+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.sharedStrings+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.sheet + + application/vnd.openxmlformats-officedocument.spreadsheetml.sheet + + + vnd.openxmlformats-officedocument.spreadsheetml.sheet.main+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.sheet.main+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.sheetMetadata+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.sheetMetadata+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.styles+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.styles+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.table+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.table+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.tableSingleCells+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.tableSingleCells+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.template + + application/vnd.openxmlformats-officedocument.spreadsheetml.template + + + vnd.openxmlformats-officedocument.spreadsheetml.template.main+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.template.main+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.userNames+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.userNames+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.volatileDependencies+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.volatileDependencies+xml + + + vnd.openxmlformats-officedocument.spreadsheetml.worksheet+xml + + application/vnd.openxmlformats-officedocument.spreadsheetml.worksheet+xml + + + vnd.openxmlformats-officedocument.theme+xml + + application/vnd.openxmlformats-officedocument.theme+xml + + + vnd.openxmlformats-officedocument.themeOverride+xml + + application/vnd.openxmlformats-officedocument.themeOverride+xml + + + vnd.openxmlformats-officedocument.vmlDrawing + + application/vnd.openxmlformats-officedocument.vmlDrawing + + + vnd.openxmlformats-officedocument.wordprocessingml.comments+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.comments+xml + + + vnd.openxmlformats-officedocument.wordprocessingml.document + + application/vnd.openxmlformats-officedocument.wordprocessingml.document + + + vnd.openxmlformats-officedocument.wordprocessingml.document.glossary+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.document.glossary+xml + + + vnd.openxmlformats-officedocument.wordprocessingml.document.main+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.document.main+xml + + + vnd.openxmlformats-officedocument.wordprocessingml.endnotes+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.endnotes+xml + + + vnd.openxmlformats-officedocument.wordprocessingml.fontTable+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.fontTable+xml + + + vnd.openxmlformats-officedocument.wordprocessingml.footer+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.footer+xml + + + vnd.openxmlformats-officedocument.wordprocessingml.footnotes+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.footnotes+xml + + + vnd.openxmlformats-officedocument.wordprocessingml.numbering+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.numbering+xml + + + vnd.openxmlformats-officedocument.wordprocessingml.settings+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.settings+xml + + + vnd.openxmlformats-officedocument.wordprocessingml.styles+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.styles+xml + + + vnd.openxmlformats-officedocument.wordprocessingml.template + + application/vnd.openxmlformats-officedocument.wordprocessingml.template + + + vnd.openxmlformats-officedocument.wordprocessingml.template.main+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.template.main+xml + + + vnd.openxmlformats-officedocument.wordprocessingml.webSettings+xml + + application/vnd.openxmlformats-officedocument.wordprocessingml.webSettings+xml + + + vnd.openxmlformats-package.core-properties+xml + + application/vnd.openxmlformats-package.core-properties+xml + + + vnd.openxmlformats-package.digital-signature-xmlsignature+xml + + application/vnd.openxmlformats-package.digital-signature-xmlsignature+xml + + + vnd.openxmlformats-package.relationships+xml + + application/vnd.openxmlformats-package.relationships+xml + + + vnd.oracle.resource+json + + application/vnd.oracle.resource+json + + + vnd.orange.indata + + application/vnd.orange.indata + + + vnd.osa.netdeploy + + application/vnd.osa.netdeploy + + + vnd.osgeo.mapguide.package + + application/vnd.osgeo.mapguide.package + + + vnd.osgi.bundle + + application/vnd.osgi.bundle + + + vnd.osgi.dp + + application/vnd.osgi.dp + + + vnd.osgi.subsystem + + application/vnd.osgi.subsystem + + + vnd.otps.ct-kip+xml + + application/vnd.otps.ct-kip+xml + + + vnd.oxli.countgraph + + application/vnd.oxli.countgraph + + + vnd.pagerduty+json + + application/vnd.pagerduty+json + + + vnd.palm + + application/vnd.palm + + + vnd.panoply + + application/vnd.panoply + + + vnd.paos.xml + + application/vnd.paos.xml + + + vnd.patentdive + + application/vnd.patentdive + + + vnd.patientecommsdoc + + application/vnd.patientecommsdoc + + + vnd.pawaafile + + application/vnd.pawaafile + + + vnd.pcos + + application/vnd.pcos + + + vnd.pg.format + + application/vnd.pg.format + + + vnd.pg.osasli + + application/vnd.pg.osasli + + + vnd.piaccess.application-licence + + application/vnd.piaccess.application-licence + + + vnd.picsel + + application/vnd.picsel + + + vnd.pmi.widget + + application/vnd.pmi.widget + + + vnd.poc.group-advertisement+xml + + + application/vnd.poc.group-advertisement+xml + + + vnd.pocketlearn + + application/vnd.pocketlearn + + + vnd.powerbuilder6 + + application/vnd.powerbuilder6 + + + vnd.powerbuilder6-s + + application/vnd.powerbuilder6-s + + + vnd.powerbuilder7 + + application/vnd.powerbuilder7 + + + vnd.powerbuilder75 + + application/vnd.powerbuilder75 + + + vnd.powerbuilder75-s + + application/vnd.powerbuilder75-s + + + vnd.powerbuilder7-s + + application/vnd.powerbuilder7-s + + + vnd.preminet + + application/vnd.preminet + + + vnd.previewsystems.box + + application/vnd.previewsystems.box + + + vnd.proteus.magazine + + application/vnd.proteus.magazine + + + vnd.psfs + + application/vnd.psfs + + + vnd.pt.mundusmundi + + application/vnd.pt.mundusmundi + + + vnd.publishare-delta-tree + + application/vnd.publishare-delta-tree + + + vnd.pvi.ptid1 + + application/vnd.pvi.ptid1 + + + vnd.pwg-multiplexed + + application/vnd.pwg-multiplexed + + + vnd.pwg-xhtml-print+xml + + application/vnd.pwg-xhtml-print+xml + + + vnd.qualcomm.brew-app-res + + application/vnd.qualcomm.brew-app-res + + + vnd.quarantainenet + + application/vnd.quarantainenet + + + vnd.Quark.QuarkXPress + + application/vnd.Quark.QuarkXPress + + + vnd.quobject-quoxdocument + + application/vnd.quobject-quoxdocument + + + vnd.radisys.moml+xml + + application/vnd.radisys.moml+xml + + + vnd.radisys.msml-audit-conf+xml + + application/vnd.radisys.msml-audit-conf+xml + + + vnd.radisys.msml-audit-conn+xml + + application/vnd.radisys.msml-audit-conn+xml + + + vnd.radisys.msml-audit-dialog+xml + + application/vnd.radisys.msml-audit-dialog+xml + + + vnd.radisys.msml-audit-stream+xml + + application/vnd.radisys.msml-audit-stream+xml + + + vnd.radisys.msml-audit+xml + + application/vnd.radisys.msml-audit+xml + + + vnd.radisys.msml-conf+xml + + application/vnd.radisys.msml-conf+xml + + + vnd.radisys.msml-dialog-base+xml + + application/vnd.radisys.msml-dialog-base+xml + + + vnd.radisys.msml-dialog-fax-detect+xml + + application/vnd.radisys.msml-dialog-fax-detect+xml + + + vnd.radisys.msml-dialog-fax-sendrecv+xml + + application/vnd.radisys.msml-dialog-fax-sendrecv+xml + + + vnd.radisys.msml-dialog-group+xml + + application/vnd.radisys.msml-dialog-group+xml + + + vnd.radisys.msml-dialog-speech+xml + + application/vnd.radisys.msml-dialog-speech+xml + + + vnd.radisys.msml-dialog-transform+xml + + application/vnd.radisys.msml-dialog-transform+xml + + + vnd.radisys.msml-dialog+xml + + application/vnd.radisys.msml-dialog+xml + + + vnd.radisys.msml+xml + + application/vnd.radisys.msml+xml + + + vnd.rainstor.data + + application/vnd.rainstor.data + + + vnd.rapid + + application/vnd.rapid + + + vnd.rar + + application/vnd.rar + + + vnd.realvnc.bed + + application/vnd.realvnc.bed + + + vnd.recordare.musicxml + + application/vnd.recordare.musicxml + + + vnd.recordare.musicxml+xml + + application/vnd.recordare.musicxml+xml + + + vnd.relpipe + + application/vnd.relpipe + + + vnd.RenLearn.rlprint + + application/vnd.RenLearn.rlprint + + + vnd.resilient.logic + + application/vnd.resilient.logic + + + vnd.restful+json + + application/vnd.restful+json + + + vnd.rig.cryptonote + + application/vnd.rig.cryptonote + + + vnd.route66.link66+xml + + application/vnd.route66.link66+xml + + + vnd.rs-274x + + application/vnd.rs-274x + + + vnd.ruckus.download + + application/vnd.ruckus.download + + + vnd.s3sms + + application/vnd.s3sms + + + vnd.sailingtracker.track + + application/vnd.sailingtracker.track + + + vnd.sar + + application/vnd.sar + + + vnd.sbm.cid + + application/vnd.sbm.cid + + + vnd.sbm.mid2 + + application/vnd.sbm.mid2 + + + vnd.scribus + + application/vnd.scribus + + + vnd.sealed.3df + + application/vnd.sealed.3df + + + vnd.sealed.csf + + application/vnd.sealed.csf + + + vnd.sealed.doc + + application/vnd.sealed.doc + + + vnd.sealed.eml + + application/vnd.sealed.eml + + + vnd.sealed.mht + + application/vnd.sealed.mht + + + vnd.sealed.net + + application/vnd.sealed.net + + + vnd.sealed.ppt + + application/vnd.sealed.ppt + + + vnd.sealed.tiff + + + application/vnd.sealed.tiff + + + vnd.sealed.xls + + application/vnd.sealed.xls + + + vnd.sealedmedia.softseal.html + + application/vnd.sealedmedia.softseal.html + + + vnd.sealedmedia.softseal.pdf + + application/vnd.sealedmedia.softseal.pdf + + + vnd.seemail + + application/vnd.seemail + + + vnd.seis+json + + application/vnd.seis+json + + + vnd.sema + + application/vnd.sema + + + vnd.semd + + application/vnd.semd + + + vnd.semf + + application/vnd.semf + + + vnd.shade-save-file + + application/vnd.shade-save-file + + + vnd.shana.informed.formdata + + application/vnd.shana.informed.formdata + + + vnd.shana.informed.formtemplate + + application/vnd.shana.informed.formtemplate + + + vnd.shana.informed.interchange + + application/vnd.shana.informed.interchange + + + vnd.shana.informed.package + + application/vnd.shana.informed.package + + + vnd.shootproof+json + + application/vnd.shootproof+json + + + vnd.shopkick+json + + application/vnd.shopkick+json + + + vnd.shp + + application/vnd.shp + + + vnd.shx + + application/vnd.shx + + + vnd.sigrok.session + + application/vnd.sigrok.session + + + vnd.SimTech-MindMapper + + application/vnd.SimTech-MindMapper + + + vnd.siren+json + + application/vnd.siren+json + + + vnd.smaf + + application/vnd.smaf + + + vnd.smart.notebook + + application/vnd.smart.notebook + + + vnd.smart.teacher + + application/vnd.smart.teacher + + + vnd.smintio.portals.archive + + application/vnd.smintio.portals.archive + + + vnd.snesdev-page-table + + application/vnd.snesdev-page-table + + + vnd.software602.filler.form+xml + + + application/vnd.software602.filler.form+xml + + + vnd.software602.filler.form-xml-zip + + + application/vnd.software602.filler.form-xml-zip + + + vnd.solent.sdkm+xml + + application/vnd.solent.sdkm+xml + + + vnd.spotfire.dxp + + application/vnd.spotfire.dxp + + + vnd.spotfire.sfs + + application/vnd.spotfire.sfs + + + vnd.sqlite3 + + application/vnd.sqlite3 + + + vnd.sss-cod + + application/vnd.sss-cod + + + vnd.sss-dtf + + application/vnd.sss-dtf + + + vnd.sss-ntf + + application/vnd.sss-ntf + + + vnd.stepmania.package + + application/vnd.stepmania.package + + + vnd.stepmania.stepchart + + application/vnd.stepmania.stepchart + + + vnd.street-stream + + application/vnd.street-stream + + + vnd.sun.wadl+xml + + application/vnd.sun.wadl+xml + + + vnd.sus-calendar + + application/vnd.sus-calendar + + + vnd.svd + + application/vnd.svd + + + vnd.swiftview-ics + + application/vnd.swiftview-ics + + + vnd.sybyl.mol2 + + application/vnd.sybyl.mol2 + + + vnd.sycle+xml + + application/vnd.sycle+xml + + + vnd.syft+json + + application/vnd.syft+json + + + vnd.syncml.dm.notification + + + application/vnd.syncml.dm.notification + + + vnd.syncml.dmddf+xml + + application/vnd.syncml.dmddf+xml + + + vnd.syncml.dmtnds+wbxml + + application/vnd.syncml.dmtnds+wbxml + + + vnd.syncml.dmtnds+xml + + application/vnd.syncml.dmtnds+xml + + + vnd.syncml.dmddf+wbxml + + application/vnd.syncml.dmddf+wbxml + + + vnd.syncml.dm+wbxml + + application/vnd.syncml.dm+wbxml + + + vnd.syncml.dm+xml + + + application/vnd.syncml.dm+xml + + + vnd.syncml.ds.notification + + application/vnd.syncml.ds.notification + + + vnd.syncml+xml + + application/vnd.syncml+xml + + + vnd.tableschema+json + + application/vnd.tableschema+json + + + vnd.tao.intent-module-archive + + application/vnd.tao.intent-module-archive + + + vnd.tcpdump.pcap + + + application/vnd.tcpdump.pcap + + + vnd.think-cell.ppttc+json + + application/vnd.think-cell.ppttc+json + + + vnd.tml + + application/vnd.tml + + + vnd.tmd.mediaflex.api+xml + + application/vnd.tmd.mediaflex.api+xml + + + vnd.tmobile-livetv + + application/vnd.tmobile-livetv + + + vnd.tri.onesource + + application/vnd.tri.onesource + + + vnd.trid.tpt + + application/vnd.trid.tpt + + + vnd.triscape.mxs + + application/vnd.triscape.mxs + + + vnd.trueapp + + application/vnd.trueapp + + + vnd.truedoc + + application/vnd.truedoc + + + vnd.ubisoft.webplayer + + application/vnd.ubisoft.webplayer + + + vnd.ufdl + + application/vnd.ufdl + + + vnd.uiq.theme + + application/vnd.uiq.theme + + + vnd.umajin + + application/vnd.umajin + + + vnd.unity + + application/vnd.unity + + + vnd.uoml+xml + + application/vnd.uoml+xml + + + vnd.uplanet.alert + + application/vnd.uplanet.alert + + + vnd.uplanet.alert-wbxml + + application/vnd.uplanet.alert-wbxml + + + vnd.uplanet.bearer-choice + + application/vnd.uplanet.bearer-choice + + + vnd.uplanet.bearer-choice-wbxml + + application/vnd.uplanet.bearer-choice-wbxml + + + vnd.uplanet.cacheop + + application/vnd.uplanet.cacheop + + + vnd.uplanet.cacheop-wbxml + + application/vnd.uplanet.cacheop-wbxml + + + vnd.uplanet.channel + + application/vnd.uplanet.channel + + + vnd.uplanet.channel-wbxml + + application/vnd.uplanet.channel-wbxml + + + vnd.uplanet.list + + application/vnd.uplanet.list + + + vnd.uplanet.listcmd + + application/vnd.uplanet.listcmd + + + vnd.uplanet.listcmd-wbxml + + application/vnd.uplanet.listcmd-wbxml + + + vnd.uplanet.list-wbxml + + application/vnd.uplanet.list-wbxml + + + vnd.uri-map + + application/vnd.uri-map + + + vnd.uplanet.signal + + application/vnd.uplanet.signal + + + vnd.valve.source.material + + application/vnd.valve.source.material + + + vnd.vcx + + application/vnd.vcx + + + vnd.vd-study + + application/vnd.vd-study + + + vnd.vectorworks + + + application/vnd.vectorworks + + + vnd.vel+json + + application/vnd.vel+json + + + vnd.verimatrix.vcas + + application/vnd.verimatrix.vcas + + + vnd.veritone.aion+json + + application/vnd.veritone.aion+json + + + vnd.veryant.thin + + application/vnd.veryant.thin + + + vnd.ves.encrypted + + application/vnd.ves.encrypted + + + vnd.vidsoft.vidconference + + application/vnd.vidsoft.vidconference + + + vnd.visio + + application/vnd.visio + + + vnd.visionary + + application/vnd.visionary + + + vnd.vividence.scriptfile + + application/vnd.vividence.scriptfile + + + vnd.vsf + + application/vnd.vsf + + + vnd.wap.sic + + application/vnd.wap.sic + + + vnd.wap.slc + + application/vnd.wap.slc + + + vnd.wap.wbxml + + application/vnd.wap.wbxml + + + vnd.wap.wmlc + + application/vnd.wap.wmlc + + + vnd.wap.wmlscriptc + + application/vnd.wap.wmlscriptc + + + vnd.wasmflow.wafl + + application/vnd.wasmflow.wafl + + + vnd.webturbo + + application/vnd.webturbo + + + vnd.wfa.dpp + + + application/vnd.wfa.dpp + + + vnd.wfa.p2p + + application/vnd.wfa.p2p + + + vnd.wfa.wsc + + application/vnd.wfa.wsc + + + vnd.windows.devicepairing + + application/vnd.windows.devicepairing + + + vnd.wmc + + application/vnd.wmc + + + vnd.wmf.bootstrap + + + application/vnd.wmf.bootstrap + + + vnd.wolfram.mathematica + + application/vnd.wolfram.mathematica + + + vnd.wolfram.mathematica.package + + application/vnd.wolfram.mathematica.package + + + vnd.wolfram.player + + application/vnd.wolfram.player + + + vnd.wordlift + + application/vnd.wordlift + + + vnd.wordperfect + + application/vnd.wordperfect + + + vnd.wqd + + application/vnd.wqd + + + vnd.wrq-hp3000-labelled + + application/vnd.wrq-hp3000-labelled + + + vnd.wt.stf + + application/vnd.wt.stf + + + vnd.wv.csp+xml + + application/vnd.wv.csp+xml + + + vnd.wv.csp+wbxml + + application/vnd.wv.csp+wbxml + + + vnd.wv.ssp+xml + + application/vnd.wv.ssp+xml + + + vnd.xacml+json + + application/vnd.xacml+json + + + vnd.xara + + application/vnd.xara + + + vnd.xecrets-encrypted + + application/vnd.xecrets-encrypted + + + vnd.xfdl + + application/vnd.xfdl + + + vnd.xfdl.webform + + application/vnd.xfdl.webform + + + vnd.xmi+xml + + application/vnd.xmi+xml + + + vnd.xmpie.cpkg + + application/vnd.xmpie.cpkg + + + vnd.xmpie.dpkg + + application/vnd.xmpie.dpkg + + + vnd.xmpie.plan + + application/vnd.xmpie.plan + + + vnd.xmpie.ppkg + + application/vnd.xmpie.ppkg + + + vnd.xmpie.xlim + + application/vnd.xmpie.xlim + + + vnd.yamaha.hv-dic + + application/vnd.yamaha.hv-dic + + + vnd.yamaha.hv-script + + application/vnd.yamaha.hv-script + + + vnd.yamaha.hv-voice + + application/vnd.yamaha.hv-voice + + + vnd.yamaha.openscoreformat.osfpvg+xml + + application/vnd.yamaha.openscoreformat.osfpvg+xml + + + vnd.yamaha.openscoreformat + + application/vnd.yamaha.openscoreformat + + + vnd.yamaha.remote-setup + + application/vnd.yamaha.remote-setup + + + vnd.yamaha.smaf-audio + + application/vnd.yamaha.smaf-audio + + + vnd.yamaha.smaf-phrase + + application/vnd.yamaha.smaf-phrase + + + vnd.yamaha.through-ngn + + application/vnd.yamaha.through-ngn + + + vnd.yamaha.tunnel-udpencap + + application/vnd.yamaha.tunnel-udpencap + + + vnd.yaoweme + + application/vnd.yaoweme + + + vnd.yellowriver-custom-menu + + application/vnd.yellowriver-custom-menu + + + vnd.youtube.yt (OBSOLETED in favor of video/vnd.youtube.yt) + + application/vnd.youtube.yt + + + vnd.zul + + application/vnd.zul + + + vnd.zzazz.deck+xml + + application/vnd.zzazz.deck+xml + + + voicexml+xml + + application/voicexml+xml + + + voucher-cms+json + + application/voucher-cms+json + + + vp + + + application/vp + + + vq-rtcpxr + + application/vq-rtcpxr + + + wasm + + + application/wasm + + + watcherinfo+xml + + application/watcherinfo+xml + + + webpush-options+json + + application/webpush-options+json + + + whoispp-query + + application/whoispp-query + + + whoispp-response + + application/whoispp-response + + + widget + + + W3C-Widgets-2012 + application/widget + + + wita + + application/wita + + + wordperfect5.1 + + application/wordperfect5.1 + + + wsdl+xml + + application/wsdl+xml + + + wspolicy+xml + + application/wspolicy+xml + + + x-pki-message + + application/x-pki-message + + + x-www-form-urlencoded + + application/x-www-form-urlencoded + + + x-x509-ca-cert + + application/x-x509-ca-cert + + + x-x509-ca-ra-cert + + application/x-x509-ca-ra-cert + + + x-x509-next-ca-cert + + application/x-x509-next-ca-cert + + + x400-bp + + application/x400-bp + + + xacml+xml + + application/xacml+xml + + + xcap-att+xml + + application/xcap-att+xml + + + xcap-caps+xml + + application/xcap-caps+xml + + + xcap-diff+xml + + application/xcap-diff+xml + + + xcap-el+xml + + application/xcap-el+xml + + + xcap-error+xml + + application/xcap-error+xml + + + xcap-ns+xml + + application/xcap-ns+xml + + + xcon-conference-info-diff+xml + + application/xcon-conference-info-diff+xml + + + xcon-conference-info+xml + + application/xcon-conference-info+xml + + + xenc+xml + + + application/xenc+xml + + + xfdf + + + application/xfdf + + + xhtml+xml + + + application/xhtml+xml + + + xliff+xml + + + application/xliff+xml + + + xml + + application/xml + + + xml-dtd + + application/xml-dtd + + + xml-external-parsed-entity + + application/xml-external-parsed-entity + + + xml-patch+xml + + application/xml-patch+xml + + + xmpp+xml + + application/xmpp+xml + + + xop+xml + + application/xop+xml + + + xslt+xml + + + application/xslt+xml + + + xv+xml + + application/xv+xml + + + yaml + YAML + + application/yaml + + + yang + + application/yang + + + yang-data+cbor + + application/yang-data+cbor + + + yang-data+json + + application/yang-data+json + + + yang-data+xml + + application/yang-data+xml + + + yang-patch+json + + application/yang-patch+json + + + yang-patch+xml + + application/yang-patch+xml + + + yang-sid+json + + application/yang-sid+json + + + yin+xml + + application/yin+xml + + + zip + + application/zip + + + zlib + + application/zlib + + + zstd + + application/zstd + + Approved by IESG on 2024-05-02 in accordance with , Appendix A. +. + + + + + + audio + + + 1d-interleaved-parityfec + + audio/1d-interleaved-parityfec + + + 32kadpcm + + + audio/32kadpcm + + + 3gpp + + + audio/3gpp + + + 3gpp2 + + + audio/3gpp2 + + + aac + + + audio/aac + + + ac3 + + audio/ac3 + + + AMR + + audio/AMR + + + AMR-WB + + audio/AMR-WB + + + amr-wb+ + + audio/amr-wb+ + + + aptx + + audio/aptx + + + asc + + audio/asc + + + ATRAC-ADVANCED-LOSSLESS + + audio/ATRAC-ADVANCED-LOSSLESS + + + ATRAC-X + + audio/ATRAC-X + + + ATRAC3 + + audio/ATRAC3 + + + basic + + + audio/basic + + + BV16 + + audio/BV16 + + + BV32 + + audio/BV32 + + + clearmode + + audio/clearmode + + + CN + + audio/CN + + + DAT12 + + audio/DAT12 + + + dls + + audio/dls + + + dsr-es201108 + + audio/dsr-es201108 + + + dsr-es202050 + + audio/dsr-es202050 + + + dsr-es202211 + + audio/dsr-es202211 + + + dsr-es202212 + + audio/dsr-es202212 + + + DV + + audio/DV + + + DVI4 + + audio/DVI4 + + + eac3 + + audio/eac3 + + + encaprtp + + audio/encaprtp + + + EVRC + + audio/EVRC + + + EVRC-QCP + + audio/EVRC-QCP + + + EVRC0 + + audio/EVRC0 + + + EVRC1 + + audio/EVRC1 + + + EVRCB + + audio/EVRCB + + + EVRCB0 + + audio/EVRCB0 + + + EVRCB1 + + audio/EVRCB1 + + + EVRCNW + + audio/EVRCNW + + + EVRCNW0 + + audio/EVRCNW0 + + + EVRCNW1 + + audio/EVRCNW1 + + + EVRCWB + + audio/EVRCWB + + + EVRCWB0 + + audio/EVRCWB0 + + + EVRCWB1 + + audio/EVRCWB1 + + + EVS + + + audio/EVS + + + example + + audio/example + + + + flac + + audio/flac + + + flexfec + + audio/flexfec + + + fwdred + + audio/fwdred + + + G711-0 + + audio/G711-0 + + + G719 + + + audio/G719 + + + G7221 + + audio/G7221 + + + G722 + + audio/G722 + + + G723 + + audio/G723 + + + G726-16 + + audio/G726-16 + + + G726-24 + + audio/G726-24 + + + G726-32 + + audio/G726-32 + + + G726-40 + + audio/G726-40 + + + G728 + + audio/G728 + + + G729 + + audio/G729 + + + G7291 + + + audio/G7291 + + + G729D + + audio/G729D + + + G729E + + audio/G729E + + + GSM + + audio/GSM + + + GSM-EFR + + audio/GSM-EFR + + + GSM-HR-08 + + audio/GSM-HR-08 + + + iLBC + + audio/iLBC + + + ip-mr_v2.5 + + audio/ip-mr_v2.5 + + + L8 + + audio/L8 + + + L16 + + audio/L16 + + + L20 + + audio/L20 + + + L24 + + audio/L24 + + + LPC + + audio/LPC + + + matroska + + audio/matroska + + + MELP + + audio/MELP + + + MELP600 + + audio/MELP600 + + + MELP1200 + + audio/MELP1200 + + + MELP2400 + + audio/MELP2400 + + + mhas + + + + audio/mhas + + + midi-clip + + + audio/midi-clip + + + mobile-xmf + + audio/mobile-xmf + + + MPA + + audio/MPA + + + mp4 + + + audio/mp4 + + + MP4A-LATM + + audio/MP4A-LATM + + + mpa-robust + + audio/mpa-robust + + + mpeg + + audio/mpeg + + + mpeg4-generic + + + + audio/mpeg4-generic + + + ogg + + + audio/ogg + + + opus + + audio/opus + + + parityfec + + audio/parityfec + + + PCMA + + audio/PCMA + + + PCMA-WB + + audio/PCMA-WB + + + PCMU + + audio/PCMU + + + PCMU-WB + + audio/PCMU-WB + + + prs.sid + + audio/prs.sid + + + QCELP + + + audio/QCELP + + + raptorfec + + audio/raptorfec + + + RED + + audio/RED + + + rtp-enc-aescm128 + + audio/rtp-enc-aescm128 + + + rtploopback + + audio/rtploopback + + + rtp-midi + + audio/rtp-midi + + + rtx + + audio/rtx + + + scip + + audio/scip + + + SMV + + audio/SMV + + + SMV0 + + audio/SMV0 + + + SMV-QCP + + audio/SMV-QCP + + + sofa + + + audio/sofa + + + sp-midi + + + audio/sp-midi + + + speex + + audio/speex + + + t140c + + audio/t140c + + + t38 + + audio/t38 + + + telephone-event + + audio/telephone-event + + + TETRA_ACELP + + + audio/TETRA_ACELP + + + TETRA_ACELP_BB + + + audio/TETRA_ACELP_BB + + + tone + + audio/tone + + + TSVCIS + + audio/TSVCIS + + + UEMCLIP + + audio/UEMCLIP + + + ulpfec + + audio/ulpfec + + + usac + + + audio/usac + + + VDVI + + audio/VDVI + + + VMR-WB + + + audio/VMR-WB + + + vnd.3gpp.iufp + + audio/vnd.3gpp.iufp + + + vnd.4SB + + audio/vnd.4SB + + + vnd.audiokoz + + audio/vnd.audiokoz + + + vnd.CELP + + audio/vnd.CELP + + + vnd.cisco.nse + + audio/vnd.cisco.nse + + + vnd.cmles.radio-events + + audio/vnd.cmles.radio-events + + + vnd.cns.anp1 + + audio/vnd.cns.anp1 + + + vnd.cns.inf1 + + audio/vnd.cns.inf1 + + + vnd.dece.audio + + audio/vnd.dece.audio + + + vnd.digital-winds + + audio/vnd.digital-winds + + + vnd.dlna.adts + + audio/vnd.dlna.adts + + + vnd.dolby.heaac.1 + + audio/vnd.dolby.heaac.1 + + + vnd.dolby.heaac.2 + + audio/vnd.dolby.heaac.2 + + + vnd.dolby.mlp + + audio/vnd.dolby.mlp + + + vnd.dolby.mps + + audio/vnd.dolby.mps + + + vnd.dolby.pl2 + + audio/vnd.dolby.pl2 + + + vnd.dolby.pl2x + + audio/vnd.dolby.pl2x + + + vnd.dolby.pl2z + + audio/vnd.dolby.pl2z + + + vnd.dolby.pulse.1 + + audio/vnd.dolby.pulse.1 + + + vnd.dra + + audio/vnd.dra + + + vnd.dts + + audio/vnd.dts + + + vnd.dts.hd + + audio/vnd.dts.hd + + + vnd.dts.uhd + + audio/vnd.dts.uhd + + + vnd.dvb.file + + audio/vnd.dvb.file + + + vnd.everad.plj + + audio/vnd.everad.plj + + + vnd.hns.audio + + audio/vnd.hns.audio + + + vnd.lucent.voice + + audio/vnd.lucent.voice + + + vnd.ms-playready.media.pya + + audio/vnd.ms-playready.media.pya + + + vnd.nokia.mobile-xmf + + audio/vnd.nokia.mobile-xmf + + + vnd.nortel.vbk + + audio/vnd.nortel.vbk + + + vnd.nuera.ecelp4800 + + audio/vnd.nuera.ecelp4800 + + + vnd.nuera.ecelp7470 + + audio/vnd.nuera.ecelp7470 + + + vnd.nuera.ecelp9600 + + audio/vnd.nuera.ecelp9600 + + + vnd.octel.sbc + + audio/vnd.octel.sbc + + + vnd.presonus.multitrack + + audio/vnd.presonus.multitrack + + + vnd.qcelp - DEPRECATED in favor of audio/qcelp + + audio/vnd.qcelp + + + vnd.rhetorex.32kadpcm + + audio/vnd.rhetorex.32kadpcm + + + vnd.rip + + audio/vnd.rip + + + vnd.sealedmedia.softseal.mpeg + + audio/vnd.sealedmedia.softseal.mpeg + + + vnd.vmx.cvsd + + audio/vnd.vmx.cvsd + + + vorbis + + audio/vorbis + + + vorbis-config + + audio/vorbis-config + + + + + example + + The 'example' media type is used for examples. Any subtype following the media +type syntax may be used in those examples. No subtype can be registered with +IANA. For more information see. + +Note: The occurrence of an 'example' media type as a media type outside +of examples, e.g. in a Content-Type header, is an error and should be +reported to the implementor. +specifies that Content Types, Content Subtypes, Character Sets, Access +Types, and conversion values for MIME mail will be assigned and listed +by the IANA. + Other MIME Media Type Parameters: + + + + font + + + collection + + font/collection + + + otf + + font/otf + + + sfnt + + font/sfnt + + + ttf + + font/ttf + + + woff + + font/woff + + + woff2 + + font/woff2 + + + + + haptics + + + ivs + + haptics/ivs + + + hjif + + haptics/hjif + + + hmpg + + haptics/hmpg + + + + + + image + + + aces + + + image/aces + + + apng + + + image/apng + + + avci + + + image/avci + + + avcs + + + image/avcs + + + avif + + + image/avif + + + bmp + + image/bmp + + + cgm + + image/cgm + + + dicom-rle + + + image/dicom-rle + + + dpx + + + image/dpx + + + emf + + image/emf + + + example + + image/example + + + fits + + image/fits + + + g3fax + + image/g3fax + + + gif + + + + + heic + + + image/heic + + + heic-sequence + + + image/heic-sequence + + + heif + + + image/heif + + + heif-sequence + + + image/heif-sequence + + + hej2k + + + image/hej2k + + + hsj2 + + + image/hsj2 + + + ief + + + + j2c + + + + image/j2c + + + jls + + + image/jls + + + jp2 + + image/jp2 + + + jpeg + + + + + jph + + + image/jph + + + jphc + + + image/jphc + + + jpm + + image/jpm + + + jpx + + + image/jpx + + + jxl + + + image/jxl + + + jxr + + + image/jxr + + + jxrA + + + image/jxrA + + + jxrS + + + image/jxrS + + + jxs + + image/jxs + + + jxsc + + image/jxsc + + + jxsi + + image/jxsi + + + jxss + + image/jxss + + + ktx + + + image/ktx + + + ktx2 + + + image/ktx2 + + + naplps + + image/naplps + + + png + + + image/png + + + prs.btif + + image/prs.btif + + + prs.pti + + image/prs.pti + + + pwg-raster + + image/pwg-raster + + + svg+xml + + + image/svg+xml + + + t38 + + image/t38 + + + tiff + + image/tiff + + + tiff-fx + + image/tiff-fx + + + vnd.adobe.photoshop + + image/vnd.adobe.photoshop + + + vnd.airzip.accelerator.azv + + image/vnd.airzip.accelerator.azv + + + vnd.cns.inf2 + + image/vnd.cns.inf2 + + + vnd.dece.graphic + + image/vnd.dece.graphic + + + vnd.djvu + + image/vnd.djvu + + + vnd.dwg + + image/vnd.dwg + + + vnd.dxf + + image/vnd.dxf + + + vnd.dvb.subtitle + + + image/vnd.dvb.subtitle + + + vnd.fastbidsheet + + image/vnd.fastbidsheet + + + vnd.fpx + + image/vnd.fpx + + + vnd.fst + + image/vnd.fst + + + vnd.fujixerox.edmics-mmr + + image/vnd.fujixerox.edmics-mmr + + + vnd.fujixerox.edmics-rlc + + image/vnd.fujixerox.edmics-rlc + + + vnd.globalgraphics.pgb + + image/vnd.globalgraphics.pgb + + + vnd.microsoft.icon + + image/vnd.microsoft.icon + + + vnd.mix + + image/vnd.mix + + + vnd.ms-modi + + image/vnd.ms-modi + + + vnd.mozilla.apng + + image/vnd.mozilla.apng + + + vnd.net-fpx + + image/vnd.net-fpx + + + vnd.pco.b16 + + + image/vnd.pco.b16 + + + vnd.radiance + + + image/vnd.radiance + + + vnd.sealed.png + + image/vnd.sealed.png + + + vnd.sealedmedia.softseal.gif + + image/vnd.sealedmedia.softseal.gif + + + vnd.sealedmedia.softseal.jpg + + image/vnd.sealedmedia.softseal.jpg + + + vnd.svf + + image/vnd.svf + + + vnd.tencent.tap + + image/vnd.tencent.tap + + + vnd.valve.source.texture + + image/vnd.valve.source.texture + + + vnd.wap.wbmp + + image/vnd.wap.wbmp + + + vnd.xiff + + image/vnd.xiff + + + vnd.zbrush.pcx + + image/vnd.zbrush.pcx + + + webp + + image/webp + + + wmf + + image/wmf + + + x-emf - DEPRECATED in favor of image/emf + + image/emf + + + x-wmf - DEPRECATED in favor of image/wmf + + image/wmf + + + + + + message + + + bhttp + + message/bhttp + + + CPIM + + message/CPIM + + + delivery-status + + message/delivery-status + + + disposition-notification + + message/disposition-notification + + + example + + message/example + + + external-body + + + + + feedback-report + + message/feedback-report + + + global + + message/global + + + global-delivery-status + + message/global-delivery-status + + + global-disposition-notification + + message/global-disposition-notification + + + global-headers + + message/global-headers + + + http + + message/http + + + imdn+xml + + message/imdn+xml + + + mls + + message/mls + + + news (OBSOLETED by ) + + + message/news + + + ohttp-req + + message/ohttp-req + + + ohttp-res + + message/ohttp-res + + + partial + + + + + rfc822 + + + + + s-http (OBSOLETE) + + status-change-http-experiments-to-historic + message/s-http + + + sip + + message/sip + + + sipfrag + + message/sipfrag + + + tracking-status + + message/tracking-status + + + vnd.si.simp (OBSOLETED by request) + + message/vnd.si.simp + + + vnd.wfa.wsc + + message/vnd.wfa.wsc + + + + + + model + + + 3mf + + + + model/3mf + + + e57 + + model/e57 + + + example + + model/example + + + gltf-binary + + + model/gltf-binary + + + gltf+json + + + model/gltf+json + + + JT + + + model/JT + + + iges + + model/iges + + + mesh + + + + mtl + + + + model/mtl + + + obj + + + + model/obj + + + prc + + + model/prc + + + step + + + model/step + + + step+xml + + + model/step+xml + + + step+zip + + + model/step+zip + + + step-xml+zip + + + model/step-xml+zip + + + stl + + + + model/stl + + + u3d + + + model/u3d + + + vnd.bary + + model/vnd.bary + + + vnd.cld + + model/vnd.cld + + + vnd.collada+xml + + model/vnd.collada+xml + + + vnd.dwf + + model/vnd.dwf + + + vnd.flatland.3dml + + model/vnd.flatland.3dml + + + vnd.gdl + + model/vnd.gdl + + + vnd.gs-gdl + + model/vnd.gs-gdl + + + vnd.gtw + + model/vnd.gtw + + + vnd.moml+xml + + model/vnd.moml+xml + + + vnd.mts + + model/vnd.mts + + + vnd.opengex + + model/vnd.opengex + + + vnd.parasolid.transmit.binary + + model/vnd.parasolid.transmit.binary + + + vnd.parasolid.transmit.text + + model/vnd.parasolid.transmit.text + + + vnd.pytha.pyox + + model/vnd.pytha.pyox + + + vnd.rosette.annotated-data-model + + model/vnd.rosette.annotated-data-model + + + vnd.sap.vds + + + model/vnd.sap.vds + + + vnd.usda + + model/vnd.usda + + + vnd.usdz+zip + + model/vnd.usdz+zip + + + vnd.valve.source.compiled-map + + model/vnd.valve.source.compiled-map + + + vnd.vtu + + model/vnd.vtu + + + vrml + + + + x3d-vrml + + + model/x3d-vrml + + + x3d+fastinfoset + + model/x3d+fastinfoset + + + x3d+xml + + + model/x3d+xml + + + + + + multipart + + + alternative + + + + + appledouble + + multipart/appledouble + + + byteranges + + multipart/byteranges + + + digest + + + + + encrypted + + multipart/encrypted + + + example + + multipart/example + + + form-data + + multipart/form-data + + + header-set + + multipart/header-set + + + mixed + + + + + multilingual + + multipart/multilingual + + + parallel + + + + + related + + multipart/related + + + report + + multipart/report + + + signed + + multipart/signed + + + vnd.bint.med-plus + + multipart/vnd.bint.med-plus + + + voice-message + + multipart/voice-message + + + x-mixed-replace + + multipart/x-mixed-replace + + + + + + text + + See for information about 'charset' parameter handling for text media types. + + 1d-interleaved-parityfec + + text/1d-interleaved-parityfec + + + cache-manifest + + text/cache-manifest + + + calendar + + text/calendar + + + cql + + + text/cql + + + cql-expression + + + text/cql-expression + + + cql-identifier + + + text/cql-identifier + + + css + + text/css + + + csv + + + text/csv + + + csv-schema + + + text/csv-schema + + + directory - DEPRECATED by RFC6350 + + + text/directory + + + dns + + text/dns + + + ecmascript (OBSOLETED in favor of text/javascript) + + text/ecmascript + + + encaprtp + + text/encaprtp + + + enriched + + + + example + + text/example + + + fhirpath + + + text/fhirpath + + + flexfec + + text/flexfec + + + fwdred + + text/fwdred + + + gff3 + + text/gff3 + + + grammar-ref-list + + text/grammar-ref-list + + + hl7v2 + + + text/hl7v2 + + + html + + + text/html + + + javascript + + text/javascript + + + jcr-cnd + + text/jcr-cnd + + + markdown + + text/markdown + + + mizar + + text/mizar + + + n3 + + + text/n3 + + + parameters + + text/parameters + + + parityfec + + text/parityfec + + + plain + + + + + + provenance-notation + + + text/provenance-notation + + + prs.fallenstein.rst + + text/prs.fallenstein.rst + + + prs.lines.tag + + text/prs.lines.tag + + + prs.prop.logic + + text/prs.prop.logic + + + prs.texi + + text/prs.texi + + + raptorfec + + text/raptorfec + + + RED + + text/RED + + + rfc822-headers + + text/rfc822-headers + + + richtext + + + + + rtf + + text/rtf + + + rtp-enc-aescm128 + + text/rtp-enc-aescm128 + + + rtploopback + + text/rtploopback + + + rtx + + text/rtx + + + SGML + + text/SGML + + + shaclc + + + text/shaclc + + + shex + + + text/shex + + + spdx + + + text/spdx + + + strings + + text/strings + + + t140 + + text/t140 + + + tab-separated-values + + text/tab-separated-values + + + troff + + text/troff + + + turtle + + + text/turtle + + + ulpfec + + text/ulpfec + + + uri-list + + text/uri-list + + + vcard + + text/vcard + + + vnd.a + + text/vnd.a + + + vnd.abc + + text/vnd.abc + + + vnd.ascii-art + + text/vnd.ascii-art + + + vnd.curl + + text/vnd.curl + + + vnd.debian.copyright + + text/vnd.debian.copyright + + + vnd.DMClientScript + + text/vnd.DMClientScript + + + vnd.dvb.subtitle + + + text/vnd.dvb.subtitle + + + vnd.esmertec.theme-descriptor + + text/vnd.esmertec.theme-descriptor + + + vnd.exchangeable + + text/vnd.exchangeable + + + vnd.familysearch.gedcom + + text/vnd.familysearch.gedcom + + + vnd.ficlab.flt + + text/vnd.ficlab.flt + + + vnd.fly + + text/vnd.fly + + + vnd.fmi.flexstor + + text/vnd.fmi.flexstor + + + vnd.gml + + text/vnd.gml + + + vnd.graphviz + + text/vnd.graphviz + + + vnd.hans + + text/vnd.hans + + + vnd.hgl + + text/vnd.hgl + + + vnd.in3d.3dml + + text/vnd.in3d.3dml + + + vnd.in3d.spot + + text/vnd.in3d.spot + + + vnd.IPTC.NewsML + + text/vnd.IPTC.NewsML + + + vnd.IPTC.NITF + + text/vnd.IPTC.NITF + + + vnd.latex-z + + text/vnd.latex-z + + + vnd.motorola.reflex + + text/vnd.motorola.reflex + + + vnd.ms-mediapackage + + text/vnd.ms-mediapackage + + + vnd.net2phone.commcenter.command + + text/vnd.net2phone.commcenter.command + + + vnd.radisys.msml-basic-layout + + text/vnd.radisys.msml-basic-layout + + + vnd.senx.warpscript + + text/vnd.senx.warpscript + + + vnd.si.uricatalogue (OBSOLETED by request) + + text/vnd.si.uricatalogue + + + vnd.sun.j2me.app-descriptor + + text/vnd.sun.j2me.app-descriptor + + + vnd.sosi + + text/vnd.sosi + + + vnd.trolltech.linguist + + text/vnd.trolltech.linguist + + + vnd.vcf + + text/vnd.vcf + + + vnd.wap.si + + text/vnd.wap.si + + + vnd.wap.sl + + text/vnd.wap.sl + + + vnd.wap.wml + + text/vnd.wap.wml + + + vnd.wap.wmlscript + + text/vnd.wap.wmlscript + + + vnd.zoo.kcl + + text/vnd.zoo.kcl + + + vtt + + + text/vtt + + + wgsl + + + text/wgsl + + + xml + + text/xml + + + xml-external-parsed-entity + + text/xml-external-parsed-entity + + + + + + video + + + 1d-interleaved-parityfec + + video/1d-interleaved-parityfec + + + 3gpp + + + video/3gpp + + + 3gpp2 + + + video/3gpp2 + + + 3gpp-tt + + video/3gpp-tt + + + AV1 + + video/AV1 + + + BMPEG + + video/BMPEG + + + BT656 + + video/BT656 + + + CelB + + video/CelB + + + DV + + video/DV + + + encaprtp + + video/encaprtp + + + evc + + video/evc + + + example + + video/example + + + FFV1 + + video/FFV1 + + + flexfec + + video/flexfec + + + H261 + + video/H261 + + + H263 + + video/H263 + + + H263-1998 + + video/H263-1998 + + + H263-2000 + + video/H263-2000 + + + H264 + + video/H264 + + + H264-RCDO + + video/H264-RCDO + + + H264-SVC + + video/H264-SVC + + + H265 + + video/H265 + + + H266 + + video/H266 + + + iso.segment + + + video/iso.segment + + + JPEG + + video/JPEG + + + jpeg2000 + + + video/jpeg2000 + + + jxsv + + video/jxsv + + + matroska + + video/matroska + + + matroska-3d + + video/matroska-3d + + + mj2 + + video/mj2 + + + MP1S + + video/MP1S + + + MP2P + + video/MP2P + + + MP2T + + video/MP2T + + + mp4 + + + video/mp4 + + + MP4V-ES + + video/MP4V-ES + + + MPV + + video/MPV + + + mpeg + + + + + mpeg4-generic + + video/mpeg4-generic + + + nv + + video/nv + + + ogg + + + video/ogg + + + parityfec + + video/parityfec + + + pointer + + video/pointer + + + quicktime + + + video/quicktime + + + raptorfec + + video/raptorfec + + + raw + + video/raw + + + rtp-enc-aescm128 + + video/rtp-enc-aescm128 + + + rtploopback + + video/rtploopback + + + rtx + + video/rtx + + + scip + + video/scip + + + smpte291 + + video/smpte291 + + + SMPTE292M + + video/SMPTE292M + + + ulpfec + + video/ulpfec + + + vc1 + + video/vc1 + + + vc2 + + video/vc2 + + + vnd.CCTV + + video/vnd.CCTV + + + vnd.dece.hd + + video/vnd.dece.hd + + + vnd.dece.mobile + + video/vnd.dece.mobile + + + vnd.dece.mp4 + + video/vnd.dece.mp4 + + + vnd.dece.pd + + video/vnd.dece.pd + + + vnd.dece.sd + + video/vnd.dece.sd + + + vnd.dece.video + + video/vnd.dece.video + + + vnd.directv.mpeg + + video/vnd.directv.mpeg + + + vnd.directv.mpeg-tts + + video/vnd.directv.mpeg-tts + + + vnd.dlna.mpeg-tts + + video/vnd.dlna.mpeg-tts + + + vnd.dvb.file + + + video/vnd.dvb.file + + + vnd.fvt + + video/vnd.fvt + + + vnd.hns.video + + video/vnd.hns.video + + + vnd.iptvforum.1dparityfec-1010 + + video/vnd.iptvforum.1dparityfec-1010 + + + vnd.iptvforum.1dparityfec-2005 + + video/vnd.iptvforum.1dparityfec-2005 + + + vnd.iptvforum.2dparityfec-1010 + + video/vnd.iptvforum.2dparityfec-1010 + + + vnd.iptvforum.2dparityfec-2005 + + video/vnd.iptvforum.2dparityfec-2005 + + + vnd.iptvforum.ttsavc + + video/vnd.iptvforum.ttsavc + + + vnd.iptvforum.ttsmpeg2 + + video/vnd.iptvforum.ttsmpeg2 + + + vnd.motorola.video + + video/vnd.motorola.video + + + vnd.motorola.videop + + video/vnd.motorola.videop + + + vnd.mpegurl + + video/vnd.mpegurl + + + vnd.ms-playready.media.pyv + + video/vnd.ms-playready.media.pyv + + + vnd.nokia.interleaved-multimedia + + video/vnd.nokia.interleaved-multimedia + + + vnd.nokia.mp4vr + + video/vnd.nokia.mp4vr + + + vnd.nokia.videovoip + + video/vnd.nokia.videovoip + + + vnd.objectvideo + + video/vnd.objectvideo + + + vnd.radgamettools.bink + + video/vnd.radgamettools.bink + + + vnd.radgamettools.smacker + + video/vnd.radgamettools.smacker + + + vnd.sealed.mpeg1 + + video/vnd.sealed.mpeg1 + + + vnd.sealed.mpeg4 + + video/vnd.sealed.mpeg4 + + + vnd.sealed.swf + + video/vnd.sealed.swf + + + vnd.sealedmedia.softseal.mov + + video/vnd.sealedmedia.softseal.mov + + + vnd.uvvu.mp4 + + video/vnd.uvvu.mp4 + + + vnd.youtube.yt + + video/vnd.youtube.yt + + + vnd.vivo + + video/vnd.vivo + + + VP8 + + video/VP8 + + + VP9 + + video/VP9 + + + + + + 3GPP - Third Generation Partnership Project + mailto:3gppContact&etsi.org + + + 3GPP CT1 Working Group + mailto:3GPP_TSG_CT_WG1&LIST.ETSI.ORG + + + 3MF Consortium + http://3mf.io + + + Gary Adams + mailto:gary.adams&sun.com + 2002-01-20 + + + Greg Adams + mailto:gadams&waynesworld.ucsd.edu + 1997-03-19 + + + Audio Engineering Society (AES) + http://www.aes.org + + + Igor Afanasyev + mailto:igor.afanasyev&sap.com + 2021-03-23 + + + Jesse Alama + mailto:j.alama&fct.unl.pt + 2006-09-13 + + + Vladimir Alexiev + mailto:vladimir.alexiev&ontotext.com + 2020-06-30 + + + Ali Teffahi + mailto:ateffahi&dtg.org.uk + 2012-04-19 + + + Steve Allen + mailto:sla&ucolick.org + 1997-09-19 + + + Alliance for Open Media + mailto:registration&aomedia.org + 2021-01-28 + + + Harald T. Alvestrand + mailto:Harald.T.Alvestrand&uninett.no + 1997-01-19 + + + Mike Amundsen + mailto:mca&amundsen.com + 2011-07-12 + + + Chandrashekhara Anantharamu + mailto:chandra&muvee.com + 2007-10-16 + + + Jim Ancona + mailto:jancona&constantcontact.com + 2008-03-17 + + + Carl Anderson + mailto:ca&deezer.com + 2014-05-27 + + + Henrik Andersson + mailto:henke&henke37.cjb.net + 2017-04-06 + + + Apache Arrow Project Management Committee + mailto:private&arrow.apache.org + 2021-06-23 + + + Apache Parquet Project Management Committee + mailto:private&parquet.apache.org + 2024-02-14 + + + David Applebaum + mailto:applebau&battelle.org + 1997-02-19 + + + William C. Appleton + mailto:billappleton&dreamfactory.com + 2002-01-20 + + + Gayatri Aravindakumar + mailto:gayatri&informix.com + 2002-02-20 + + + Gus Asadi + mailto:gasadi&me.com + 2016-02-29 + + + ASAM + mailto:info&asam.net + 2014-12-04 + + + Michael Ashbridge + mailto:mashbridge+iana&google.com + 2006-12-14 + + + Kazuyuki Ashimura + mailto:ashimura&w3.org + 2013-10-30 + + + American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) + mailto:ashrae&ashrae.org + 2014-01-29 + + + ASTM International + https://www.astm.org + 2020-07-20 + + + Peter Åstrand + mailto:astrand&cendio.se + 2007-06-12 + + + Advanced Television Systems Committee + mailto:jwhitaker&atsc.org + 2020-03-18 + + + AutomationML e.V. + mailto:office&automationml.org + 2022-07-26 + + + Steve Aubrey + mailto:steve_aubrey&hp.com + 1998-07-19 + + + Yüksel Aydemir + mailto:yay&capasystems.com + 2017-05-03 + + + Brijesh Kumar + mailto:bkumar&lightspeedaudiolabs.com + 2007-04-26 + + + Attila Babits + mailto:ababits&graphisoft.hu + 2000-05-20 + + + Sebastian Baer + mailto:sebastian.baer&elektrobit.com + 2015-07-21 + + + Martin Bailey + mailto:martin.bailey&globalgraphics.com + 2002-12-20 + + + Rob Bailey + mailto:sysadmin&laserapp.com + 2017-03-09 + + + Natarajan Balasundara + mailto:rajan&ipanoramii.com + 2014-05-01 + + + Chris Bartram + mailto:RCB&3k.com + 1998-05-19 + + + Prakash Baskaran + mailto:prakash&pawaa.com + 2009-12-15 + + + Matin Bavardi + mailto:matin.bavardi&gmail.com + 2023-09-06 + + + Wesley Beary + mailto:api&heroku.com + 2013-09-06 + + + Scott Becker + mailto:scottb&bxwa.com + 1998-10-19 + + + Thomas Belling + mailto:Thomas.Belling&siemens.com + 2013-05-13 + + + James Bellinger + mailto:james&dimensionengineering.com + 2017-07-18 + + + Oren Ben-Kiki + mailto:oren&capella.co.il + 1998-10-19 + + + Jack Bennett + mailto:jbennett&inspiration.com + 2003-07-20 + + + Robin Berjon + mailto:robin&w3.org + 2014-10-23 + + + Gil Bernabeu + mailto:gil.bernabeu&globalglatform.org + 2009-09-01 + + + James Berry + mailto:jberry&macports.org + 2007-05-04 + + + Massimo Bertoli + mailto:massimo.bertoli&veryant.com + 2018-12-20 + + + Saurabh Bhatia + mailto:glTFIANA&microsoft.com + 2018-05-07 + + + Peter Bierman + mailto:installer-mime&group.apple.com + 2005-11-20 + + + Athan Billias + mailto:info&midi.org + 2022-10-04 + + + Jason Birch + mailto:jason.birch&osgeo.org + 2010-07-20 + + + Peter Biro + mailto:standard&mfsr.sk + 2015-02-10 + + + Simon Birtwistle + mailto:mime&20000.org + 2007-01-18 + + + Nathan Black + mailto:nblack&onepager.com + 2017-04-12 + + + Bryan Blank + mailto:ntbchair&nga.mil + 2019-08-21 + + + Andrew Block + mailto:andy.block&gmail.com + 2023-02-27 + + + Kevin Blumberg + mailto:kevin&amiga.com + 2002-01-20 + + + Malte Borcherding + mailto:Malte.Borcherding&brokat.com + 2000-08-20 + + + Michael Borcherds + mailto:office&geogebra.org + 2020-10-19 + + + Nathaniel Borenstein + mailto:NSB&bellcore.com + 1994-04-19 + + + Jan Bostrom + mailto:jan&sundahus.se + 2003-07-20 + + + Leon Bottou + mailto:leonb&research.att.com + 2002-01-20 + + + Michael Boyle + mailto:michaelboyle&smarttech.com + 2008-12-19 + + + Dan Bradley + mailto:dan&dantom.com + 2000-10-20 + + + Craig Bradney + mailto:cbradney&zip.com.au + 2006-06-20 + + + Günther Brammer + mailto:gbrammer&gmx.de + 2007-06-12 + + + Ron Brill + mailto:Ronb&anglepoint.com + 2019-09-03 + + + John Brinkman + mailto:john.brinkman&adobe.com + 2007-05-22 + + + Ryan Brinkman + mailto:rbrinkman&bccrc.ca + 2010-03-26 + + + Broadband Forum + mailto:help&broadband-forum.org + 2019-12-13 + + + Tim Brody + mailto:tdb2&ecs.soton.ac.uk + 2011-06-22 + + + Christopher Brooks + mailto:cxh&eecs.berkeley.edu + 2006-08-20 + + + David Brossard + mailto:david.brossard&axiomatics.com + 2013-02-19 + + + Patrick Brosse + mailto:pbrosse&amadeus.com + 2018-01-16 + + + Al Brown + mailto:dev+aion&veritone.com + 2021-06-24 + + + C. Titus Brown + mailto:khmer-project&idyll.org + 2015-10-05 + + + Elliott Brown + mailto:elliott.brown&num.uk + 2023-02-22 + + + Craig Bruce + mailto:craig&eyesopen.com + 2013-10-29 + + + Eric Bruno + mailto:ebruno&solution-soft.com + 2001-06-20 + + + Gert Buettgenbach + mailto:bue&sevencs.com + 1997-05-19 + + + Roger Buis + mailto:buis&us.ibm.com + 2001-03-20 + + + Andrew Burt + mailto:andrewburt&cricksoft.com + 2006-03-20 + + + Marcus Ligi Büschleb + mailto:marcus.bueschleb&googlemail.com + 2016-08-12 + + + Hans Busch + mailto:hans.busch&de.bosch.com + 2022-03-28 + + + Simon Butcher + mailto:simon&alien.net.au + 2003-09-20 + + + Tim Butler + mailto:tim&its.bldrdoc.gov + 1996-04-19 + + + Robert Byrnes + mailto:systems-vendor&curl.com + 2001-03-20 + + + Coalition for Content Provenance and Authenticity (C2PA) + https://c2pa.org + + + Marcos Caceres + mailto:marcos&marcosc.com + 2021-06-22 + + + Mark Callow + mailto:khronos&callow.im + 2022-12-26 + + + Larry Campbell + mailto:campbell&redsox.bsw.com + + + Nicolas CARPI + mailto:nico-iana&deltablot.email + 2023-02-08 + + + CDISC + https://www.cdisc.org/ + + + Ravinder Chandhok + mailto:chandhok&within.com + 1998-12-19 + + + Chris Charabaruk + mailto:chris&charabaruk.com + 2015-04-03 + + + Brad Chase + mailto:brad_chase&bitstream.com + 1996-05-19 + + + CHATRAS Bruno + mailto:bruno.chatras&orange.com + 2012-04-19 + + + Xu Chen + mailto:chenxu&chinamobile.com + 2023-03-20 + + + Tom Christie + mailto:tom&tomchristie.com + 2013-09-06 + + + Shay Cicelsky + mailto:shayc&everad.com + 2000-05-20 + + + Martin Cizek + mailto:martin.cizek&cuzk.cz + 2022-08-03 + + + Iris Clark + mailto:pmo&jcp.org + 2023-04-27 + + + John Clark + mailto:jclark&dbvision.net + 2002-06-20 + + + Gordon Clarke + mailto:gedcom&familysearch.org + 2021-12-07 + + + Gary Clueit + mailto:clueit&airzip.com + 2012-06-05 + + + David Clunie + mailto:dclunie&dclunie.com + 2016-09-26 + + + Pete Cole + mailto:pcole&sseyod.demon.co.uk + 1996-06-19 + + + Devyn Collier Johnson + mailto:DevynCJohnson&Gmail.com + 2014-11-21 + + + Cyril Concolato + mailto:cconcolato&netflix.com + 2021-01-28 + + + Mick Conley + mailto:mconley&wi-fi.org + 2013-09-06 + + + Victor Costan + mailto:pwnall&chromium.org + 2017-06-12 + + + Rob Coyle + mailto:rcoyle&1edtech.org + 2023-04-18 + + + Alex Crawford + mailto:alex.crawford&coreos.com + 2016-04-15 + + + Dave Crocker + mailto:dcrocker@mordor.stanford.edu%3E%3Cbr%3E + 2011-03-10 + + + Kevin Crook + mailto:productmanagement&rainstor.com + 2011-03-10 + + + Terry Crowley + + + Michael R. Crusoe + mailto:mrc&commonwl.org + 2024-04-17 + + + Frank Cusack + mailto:frank&tri-dsystems.com + 2007-07-05 + + + CWL Project + mailto:commonworkflowlanguage&sfconservancy.org + 2024-04-17 + + + Marek Čermák + mailto:cermmarek&gmail.com + 2024-01-11 + + + Claire D'Esclercs + mailto:contact&oipf.tv + 2011-02-25 + + + Erik Dahlström + mailto:erik.dahlstrom&maxar.com + 2022-02-01 + + + Priya Dandawate + mailto:pdandaw&microsoft.com + 2013-07-23 + + + Asang Dani + mailto:adani&solution-soft.com + 2001-06-20 + + + Martin Dawe + mailto:mdawe&hitnmix.com + 2011-01-27 + + + Vicki DeBarros + mailto:vicki&chaoticom.com + 2004-03-20 + + + Serge De Jaham + mailto:sdejaham&aeta-audio.com + 2006-03-27 + + + Debian Policy mailing list + mailto:debian-policy&lists.debian.org + 2014-05-20 + + + Sebastiaan Deckers + mailto:cbas&rhymbox.com + 2002-10-20 + + + Regis Dehoux + mailto:biznis&regadou.net + 2014-02-07 + + + José Del Romano + mailto:development&banana.ch + 2018-06-18 + + + Steve Dellutri + mailto:sdellutri&cosmocom.com + 1998-03-19 + + + Mario Demuth + mailto:mario&demuth-ww.de + 2017-05-11 + + + Alex Devasia + mailto:adevasia&mobius.com + 2001-03-20 + + + Steve DiAcetis + mailto:stevedia&microsoft.com + 2008-06-03 + + + DICOM Standard Committee + mailto:dicom&dicomstandard.org + 2022-09-16 + + + DICOM Working Group 17 Chairs + mailto:wg17chairs&dicomstandard.org + 2022-09-20 + + + Dirk DiGiorgio-Haag + mailto:dirk&kenamea.com + 2002-03-20 + + + Displaced Micro-Mesh SDK Support + mailto:DisplacedMicroMesh-SDK-support&nvidia.com + 2023-03-23 + + + Michael Dixon + mailto:michael.dixon&denovosoftware.com + 2007-05-25 + + + Jay Doggett + mailto:jdoggett&tiac.net + 1997-02-19 + + + Michael A Dolan + mailto:md.iana&newtbt.com + 2011-09-06 + + + Michael Domino + mailto:michaeldomino&mediaone.net + 1997-02-19 + + + Michael J. Donahue + mailto:donahue&kodak.com + 2008-01-04 + + + Ning Dong + mailto:ning.dong&oracle.com + 2014-12-22 + + + Iain Downs + mailto:iain&easykaraoke.com + 2010-11-16 + + + Alex Dubov + mailto:adubov&ea.com + 2015-09-01 + + + Emily DUBS + mailto:dubs&dvb.org + 2020-02-07 + + + Dan DuFeu + mailto:ddufeu&neurolanguage.com + 2007-06-19 + + + Michael Duffy + mailto:miked&psiaustin.com + 1997-09-19 + + + Kristopher Durski + mailto:kris.durski&verumsecuritas.com + 2018-04-23 + + + Marc Duteau + mailto:marc&hl7.org + 2022-07-07 + + + Patrick Dwyer + mailto:patrick.dwyer&owasp.org + 2021-01-28 + + + Ioseb Dzmanashvili + mailto:ioseb.dzmanashvili&gmail.com + 2012-04-20 + + + Donald E. Eastlake 3rd + mailto:d3e3e3&gmail.com + 2021-07-06 + + + Eclipse Ditto developers + mailto:ditto-dev&eclipse.org + 2022-01-26 + + + Ecma International Helpdesk + mailto:helpdesk&ecma-international.org + 2011-05-17 + + + Matthias Ehmann + mailto:matthias.ehmann&uni-bayreuth.de + 2009-07-28 + + + Chris Eich + mailto:ceich&enphaseenergy.com + 2014-11-10 + + + Stefan Eilemann + mailto:eile&esmertec.com + 2004-12-20 + + + Electronic Zombie, Corp. + mailto:support&electroniczombie.com + 2006-07-31 + + + Samer El-Haj-Mahmoud + mailto:Samer.el-haj-mahmoud&hpe.com + 2016-04-06 + + + Gary Ellison + mailto:gary.ellison&intertrust.com + 2008-07-23 + + + John Ellson + mailto:ellson&research.att.com + 2008-07-24 + + + Charles Engelke + mailto:charles.engelke&infotechfl.com + 2010-09-09 + + + Hidekazu Enjo + mailto:enjouh&ciedi.jp + 2019-06-12 + + + Chet Ensign + mailto:chet.ensign&oasis-open.org + 2020-04-23 + + + EPUB 3 Working Group + mailto:public-epub-wg&w3.org + 2022-08-16 + + + Per Ersson + mailto:per&ipunplugged.com + 2003-12-20 + + + ETSI + + + Casper Joost Eyckelhof + mailto:info&quarantainenet.nl + 2016-05-19 + + + Jörg Falkenberg + mailto:j.falkenberg&cabgmbh.com + 2007-01-18 + + + Benja Fallenstein + mailto:b.fallenstein&gmx.de + 2003-10-20 + + + Patrik Faltstrom + mailto:paf&nada.kth.se + + + Betsy Fanning + mailto:betsy.fanning&pdfa.org + 2022-04-29 + + + Michael C. Fanning + mailto:mikefan&microsoft.com + 2021-04-26 + + + Dirk Farin + mailto:dirk.farin&gmail.com + 2017-04-12 + + + David Faure + mailto:faure&kde.org + 2002-08-20 + + + Bill Fenner + mailto:fenner&aristanetworks.com + 2009-08-18 + + + Ilya Ferber + mailto:iferber&netvision.net.il + 1985-12-19 + + + Lyndsey Ferguson + mailto:Lyndsey&nemetschek.net + 2008-10-16 + + + Javier D. Fernández + mailto:javier.fernandez&wu.ac.at + 2016-01-07 + + + Axel Ferrazzini + mailto:aferrazzini&rim.com + 2012-03-27 + + + James Fields + mailto:jaime&d-vision.com + 2002-06-20 + + + Frederic Firmin + mailto:Frederic.Firmin&etsi.org + 2020-10-05 + + + Tim Fisher + mailto:tim.fisher&indiepath.com + 2006-07-25 + + + FIX Trading Community + mailto:fix&fixtrading.org + 2020-04-14 + + + Daniel_Flassig + mailto:d.flassig&pytha.de + 2021-04-07 + + + Eric Fleischman + mailto:ericfl&MICROSOFT.com + 1997-04-19 + + + Dick Floersch + mailto:floersch&echo.sound.net + 1997-03-19 + + + Henry Flurry + mailto:henryf&mediastation.com + 1999-04-19 + + + Adrian Föder + mailto:adrian.foeder&netformic.de + 2017-02-07 + + + Mike Foley + mailto:mfoley&bluetooth.com + 2008-12-19 + + + Glenn Forrester + mailto:glennf&qualcomm.com + 2006-03-23 + + + Michael Fox + mailto:mfox&nuera.com + 2001-01-20 + + + Alan Francis + mailto:A.H.Francis&open.ac.uk + 1995-12-19 + + + Mark C Fralick + mailto:mark&getusroi.com + 2018-06-26 + + + Jessie Frazelle + mailto:jess&zoo.dev + 2024-05-30 + + + Torben Frey + mailto:frey&genomatix.de + 2003-10-20 + + + Fränz Friederes + mailto:fraenz&frieder.es + 2019-07-25 + + + Randolph Fritz + mailto:rfritz&u.washington.edu + 2009-03-04 + + + Kiyofusa Fujii + mailto:kfujii&japannet.or.jp + 1997-02-19 + + + Shuji Fujii + mailto:fujii&centurysys.co.jp + 2012-04-20 + + + Arild Fuldseth + mailto:Arild.Fuldseth&fast.no + 2000-06-20 + + + David Furbeck + mailto:dfurbeck&blackberry.com + 2013-09-06 + + + Amir Gaash + mailto:amir.gaash&hp.com + 2006-04-25 + + + Christopher Gales + mailto:christopher.gales&informix.com + 2000-08-20 + + + Andrey Galkin + mailto:andrey&futoin.org + 2018-09-10 + + + April Gandert + mailto:gandert.am&pg.com + 1999-04-19 + + + Xiang Gao + mailto:xiang&kernel.org + 2024-01-02 + + + Cliff Gauntlett + mailto:cliff&solenttec.net + 2006-04-25 + + + Finn Rayk Gärtner + mailto:finngaertner&protonmail.com + 2022-08-09 + + + Randall Gellens + mailto:rg+nena.mime&randy.pensive.org + 2022-10-10 + + + Portage Project + mailto:dev-portage&gentoo.org + 2022-11-28 + + + GeoGebra + mailto:office&geogebra.org + 2020-10-19 + + + Arne Gerdes + mailto:arnegerdes&uniqueobject.com + 2006-04-25 + + + Steve Gilberd + mailto:steve&erayd.net + 2019-09-25 + + + Sukvinder S. Gill + mailto:sukvg&microsoft.com + 1996-04-19 + + + Allen Gillam + mailto:allen.gillam&hydrostatix.com + 2008-07-28 + + + Sean Gillies + mailto:sean.gillies&gmail.com + 2014-05-20 + + + David Glazer + mailto:dglazer&best.com + 1995-04-19 + + + Benjamin Goering + mailto:ben&bengo.co + 2018-03-06 + + + Laurence J. Golding + mailto:v-lgold&microsoft.com + 2020-09-15 + + + Google LLC + mailto:ytb-external&google.com + 2019-06-07 + + + Michał Górny + mailto:mgorny&gentoo.org + 2022-11-30 + + + Mikhail Gorshenev + mailto:Mikhail.Gorshenev&sun.com + 2007-06-25 + + + Philipp Gortan + mailto:P.Gortan&gentics.com + 2019-11-26 + + + Tadashi Gotoh + mailto:tgotoh&cadamsystems.co.jp + 2000-06-20 + + + Jean-Philippe Goulet + mailto:jpgoulet&cmles.com + 2005-11-20 + + + Julien Grange + mailto:julien.grange&francetelecom.com + 2006-03-23 + + + Sebastian Grassia + mailto:usd-iana&pixar.com + 2022-09-19 + + + Phil Green + mailto:green&colourspace.net + 2021-02-09 + + + Eli Grey + mailto:me&eligrey.com + 2011-04-07 + + + Grahame Grieve + mailto:fhir-director&hl7.org + 2018-03-06 + + + Paul Grosso + mailto:paul&arbortext.com + 1996-08-19 + + + Rene Grothmann + mailto:rene.grothmann&ku-eichstaett.de + 2009-02-24 + + + Christian Grothoff + mailto:grothoff&gnu.org + 2022-02-28 + + + Yu Gu + mailto:guyu&rd.oda.epson.co.jp + 1998-12-19 + + + Giacomo Guilizzoni + mailto:peldi&balsamiq.com + 2015-05-06 + + + Aloke Gupta + mailto:Aloke_Gupta&ex.cv.hp.com + 1999-04-19 + + + Amit Kumar Gupta + mailto:amitgupta.gwl&gmail.com + 2018-05-22 + + + Tom Gurak + mailto:assoc&intercon.roc.servtech.com + 1997-03-19 + + + John-Mark Gurney + mailto:jmg&flyidea.com + 1999-08-19 + + + David Guy + mailto:dguy&powersoft.com + 1997-06-19 + + + Viktor Haag + mailto:Viktor.Haag&D2L.com + 2016-09-13 + + + Marc Hadley + mailto:marc.hadley&sun.com + 2006-03-20 + + + Eric Hamilton + mailto:erich&hheld.com + 2006-07-31 + + + Ingo Hammann + mailto:ingo.hammann&ppi.de + 2003-05-20 + + + Michael Hammer + mailto:mhammer&cisco.com + 2005-10-28 + + + Jiwan Han + mailto:jiwan.han&etsi.org + 2013-05-13 + + + Miska M. Hannuksela + mailto:mimetype.registration&nokia.com + 2017-09-15 + + + Anders Hansson + mailto:anders.hansson&securedemail.com + 2006-09-13 + + + Hill Hanxv + mailto:i&hanxv.com + 2020-09-15 + + + Lee Harding + mailto:lee.harding&circuitpeople.com + 2012-02-16 + + + Guy Harris + mailto:guy&alum.mit.edu + 2011-03-30 + + + Jerry Harris + mailto:jharris&ruckusnetwork.com + 2005-11-20 + + + Steve Hattersley + mailto:steve.hattersley&dolby.com + 2009-06-02 + + + Mike Hearn + mailto:mike&navi.cx + 2005-11-20 + + + Steven Heintz + mailto:heintz&adobe.com + 2010-01-13 + + + Nicolas Helin + mailto:helin&pv.com + 2007-01-23 + + + Nor Helmee + mailto:helmee&my.cybank.net + 1998-11-19 + + + Jean-Baptiste Henry + mailto:jean-baptiste.henry&thomson.net + 2008-07-23 + + + J. Scott Hepler + mailto:scott&truebasic.com + 2000-05-20 + + + Edwin Heredia + mailto:eheredia&microsoft.com + 2005-12-20 + + + Ivan Herman + mailto:ivan&w3.org + 2024-07-05 + + + Uwe Hermann + mailto:uwe&hermann-uwe.de + 2017-06-06 + + + Christian Herrero-Veron + mailto:christian.herrero&huawei.com + 2023-03-17 + + + Amir Herzberg + mailto:amirh&haifa.vnet.ibm.com + 1997-02-19 + + + Robert Hess + mailto:hess&vidsoft.de + 2001-03-20 + + + Matthias Hessling + mailto:info-mime-obn&blaupunkt.de + 2002-12-20 + + + Joerg Heuer + mailto:Joerg.Heuer&siemens.com + 2006-03-23 + + + Michael Hewett + mailto:mike&hewettresearch.com + 2005-12-20 + + + Hans-Dieter A. Hiep + mailto:hdh&cwi.nl + 2022-11-10 + + + Ben Hinman + mailto:avalonjson.1&ben.hinman.me + 2017-09-19 + + + Masaaki Hirai + mailto:masaaki_hirai&mb1.nkc.co.jp + 2006-09-20 + + + HL7 + http://www.hl7.org + + + Pete Hoch + mailto:pete.hoch&efi.com + 2005-11-20 + + + Ingo Hofmann + mailto:ingo.hofmann&iis.fraunhofer.de + 2020-04-04 + + + Reinhard Hohensee + mailto:rhohensee&VNET.IBM.COM + 1997-09-19 + + + Markus Hohenwarter + mailto:markus&geogebra.org + 2020-10-19 + + + Thomas Holmstrom + mailto:thomas&blueiceresearch.com + 2002-04-20 + + + Mary Holstage + mailto:holstege&firstfloor.com + 1998-05-19 + + + Reinhard Holzner + mailto:reinhard&smint.io + 2023-02-13 + + + Connor Horman + mailto:chorman64&gmail.com + 2020-04-06 + + + Shoji Hoshina + mailto:Hoshina.Shoji&exc.epson.co.jp + 2000-09-20 + + + Glenn Howes + mailto:ghowes&cambridgesoft.com + 2007-06-25 + + + Shicheng Hu + mailto:shicheng.hu&etsi.org + 2009-09-15 + + + Andreas Hubel + mailto:voc&c3voc.de + 2024-04-01 + + + Ni Hui + mailto:nihuini&tencent.com + 2014-09-10 + + + Carolyn Hull + mailto:dicom&dicomstandard.org + 2022-09-16 + + + Sam Hume + mailto:shume&cdisc.org + 2018-11-28 + + + Kari E. Hurtta + mailto:flexstor&ozone.FMI.FI + + + Justin Hutchings + mailto:justhu at microsoft.com + 2016-01-27 + + + Thomas Huth + mailto:huth&tuxfamily.org + 2015-03-02 + + + Michael Hvidsten + mailto:hvidsten&gac.edu + 2009-03-17 + + + Jakub Hytka + mailto:hytka&602.cz + 2008-08-06 + + + ICT Manager + mailto:hostmaster&aaltronav.eu + 2020-09-30 + + + IETF + mailto:ietf&ietf.org + + + Kazuya Iimura + mailto:kazuya.iimura.pa&fujifilm.com + 2021-04-20 + + + Kiran Kapale + mailto:kiran.kapale&samsung.com + 2023-03-16 + + + IEEE + https://www.ieee.org + + + ISTO-PWG Internet Printing Protocol Workgroup + mailto:ipp&pwg.org + 2017-05-01 + + + IMS Global Learning Consortium Inc. + https://www.imsglobal.org + 2020-10-02 + + + International Press Telecommunications Council (David Allen) + mailto:m_director_iptc&dial.pipex.com + 2000-07-20 + + + ISO/IEC JTC 1 + http://www.iso.org/iso/JTC_1_home.html + + + ISO/IEC JTC 1/SC 29/WG 1 Convenor + mailto:SC_29-sec&itscj.ipsj.or.jp + 2023-06-12 + + + ISO/IEC JTC 1/SC 6 ASN.1 Rapporteur + mailto:secretariat&JTC_1sc06.org + 2005-10-31 + + + ISO/TC 171/SC 2 - Document file formats, EDMS systems and authenticity of information + https://www.iso.org + + + ISO/TC 184/SC 4 - Industrial Data + https://www.iso.org + + + Internationalization Tag Set Interest Group (W3C) + mailto:public-i18n-its-ig&w3.org + 2013-08-20 + + + ITU Telecommunication Standardization Sector + https://www.itu.int + + + ITU-T ASN.1 Rapporteur + mailto:tsb&itu.int + 2005-10-31 + + + Katsuhiko Ichinose + mailto:xml-info&antenna.co.jp + 2010-11-17 + + + Yukari Ikeda + mailto:ikeda&tokoyo.faith.co.jp + 2004-04-20 + + + Philippe Imoucha + mailto:pimoucha&businessobjects.com + 1996-10-19 + + + John Ingi Ingimundarson + mailto:jii&oz.com + 2003-12-20 + + + Toby Inkster + mailto:mail&tobyinkster.co.uk + 2010-10-19 + + + Keitaro Ishida + mailto:keitaro.ishida.yu&fujifilm.com + 2021-04-27 + + + Benjamin Israel + mailto:info&midi.org + 2024-03-18 + + + Prakash Iyer + mailto:Prakash.iyer&intel.com + 2008-02-07 + + + Alexander Ivanov + mailto:saiv46.dev+msgpack&gmail.com + 2024-05-13 + + + Ronald Jacobs + mailto:ron.jacobs&shopkick.com + 2019-07-08 + + + Anand Jahagirdar + mailto:Anand.Jahagirdar&karkinos.in + 2024-06-27 + + + Bill Janssen + mailto:bill&janssen.org + 2002-06-20 + + + Java Community Process (JCP) + mailto:pmo&jcp.org + 2023-04-27 + + + Alexander Jegulsky + mailto:alexj&bekitzur.com + 2013-11-20 + + + Stefan Jernberg + mailto:SJernber&TIBCO.com + 2006-09-13 + + + Ken Jibiki + mailto:ken&kenjij.com + 2010-07-23 + + + Simon Johnston + mailto:johnstonskj&gmail.com + 2022-07-20 + + + Randy Jones + mailto:randy_jones&archipelago.com + 2001-01-20 + + + Oskar Jonsson + mailto:oskar.jonsson&mfd.se + 2014-09-16 + + + Joost Technologies B.V. + mailto:joda&joost.com + 2007-10-16 + + + Jens Jorgensen + mailto:jbj1&ultraemail.net + 2014-05-01 + + + Todd Joseph + mailto:todd_joseph&groove.net + 2002-10-20 + + + Rose Judge + mailto:rjudge&vmware.com + 2021-11-03 + + + Steve Judkins + mailto:stevenj007&hotmail.com + 2003-07-20 + + + Kyunghun Jung + mailto:kyunghun.jung&samsung.com + 2017-12-04 + + + Matthias Juwan + mailto:mjuwan&presonus.com + 2017-08-22 + + + Allen K. Kabayama + mailto:akabayam&mobius.com + 1999-06-19 + + + Sebastian Kaebisch + mailto:sebastian.kaebisch&siemens.com + 2022-08-22 + + + Greg Kaiser + mailto:android-iana-mime-registration&google.com + 2019-06-25 + + + Petteri Kangaslampi + mailto:petteri.kangaslampi&nokia.com + 2001-03-20 + + + Hervé Kasparian + mailto:herve&kasparian.eu + 2022-01-03 + + + Steve Katz + mailto:skatz&eshop.com + 1995-06-19 + + + David Keaton + mailto:dmk&dmk.com + 2021-04-26 + + + Sean Kelley + mailto:seankelley&motorola.com + 2006-09-14 + + + Mike Kelly + mailto:mike&stateless.co + 2011-07-14 + + + John Kemp + mailto:john.kemp&earthlink.net + 2003-09-20 + + + Andrew David Kendall + mailto:andrew.kendall&atos.net + 2018-10-26 + + + Matt Kern + mailto:matt.kern&cyantechnology.com + 2012-09-19 + + + Keith Kester + mailto:kkester&digitalriver.com + 2015-09-11 + + + Lutz Kettner + mailto:lkettner&nvidia.com + 2023-03-06 + + + The Khronos Group + http://www.khronos.org + + + Bill Kidwell + mailto:bkidwell&opentext.com + 2018-10-23 + + + Sybren Kikstra + mailto:skikstra&66.com + 2008-05-13 + + + Frank Kilcommins + mailto:fkilcommins&gmail.com + 2023-11-29 + + + Dongwook Kim + mailto:dongwook.kim&etsi.org + 2024-04-17 + + + Yokoyama Kiyonobu + mailto:ngn&nihon-seigyo.co.jp + 2012-03-27 + + + Thomas Kjørnes + mailto:thomas&ipv.no + 2007-10-11 + + + Steve Klabnik + mailto:steve&steveklabnik.com + 2013-07-21 + + + Steven Klos + mailto:stevek&osa.com + 1997-02-19 + + + Uli Klumpp + mailto:iana&uliklumpp.com + 2016-07-01 + + + Martin Knowles + mailto:mjk&irepository.net + 2001-06-20 + + + Patrick Koh + mailto:patrick.koh&mindmapper.com + 2007-02-13 + + + Bayard Kohlhepp + mailto:bayard&ctcexchange.com + 2000-04-20 + + + Ulrich Kortenkamp + mailto:kortenkamp&cinderella.de + 2002-04-20 + + + Brian Korver + mailto:briank&terisa.com + 1996-10-19 + + + Timo Kosonen + mailto:timo.kosonen&nokia.com + 2007-01-30 + + + Michael Koster + mailto:michael.koster&smartthings.com + 2017-03-03 + + + Matthias Kovatsch + mailto:w3c&kovatsch.net + 2020-02-12 + + + Yves Kreis + mailto:yves&geogebra.org + 2009-03-13 + + + Yves Kreis + mailto:yves.kreis&inter2geo.eu + 2010-06-16 + + + Peter Kriens + mailto:Peter.Kriens&aQute.biz + 2012-03-02 + + + Tor Kristensen + mailto:tor&lila.io + 2010-10-19 + + + Frantisek Kucera + mailto:iana-contact&frantovo.cz + 2023-09-11 + + + Victor Kuchynsky + mailto:vk&logipipe.com + 2019-05-04 + + + Rajesh Kumar + mailto:rkumar&cisco.com + 2001-08-20 + + + Shinji Kusakari + mailto:shinji.kusakari&mb.softbank.co.jp + 2008-06-30 + + + John Kwan + mailto:John.Kwan&sealedmedia.com + 2006-03-23 + + + L.development Polska + mailto:kontakt&ldev.pl + 2023-12-21 + + + Mike Labatt + mailto:mike-labatt.iana-mime&cloanto.net + 2009-09-01 + + + Clemens Ladisch + mailto:clemens&ladisch.de + 2018-02-12 + + + Michael Lagally + mailto:Michael.Lagally&oracle.com + 2011-06-08 + + + Charles P. Lamb + mailto:CLamb&pvimage.com + 2001-06-20 + + + David Lee Lambert + mailto:davidl&lmert.com + 2006-09-14 + + + Martin Lambert + mailto:martin.lambert&sealedmedia.com + 2006-03-27 + + + Divon Lan + mailto:divon&genozip.com + 2022-04-05 + + + Bruno Landais + mailto:bruno.landais&nokia.com + 2021-04-09 + + + Nils Langhammer + mailto:nils.langhammer&miele.de + 2014-05-01 + + + Michael Laramie + mailto:laramiem&btv.ibm.com + 1999-02-19 + + + Steven Lasker + mailto:StevenLasker&hotmail.com + 2020-04-09 + + + Kevin Lau + mailto:kevinlau&microsoft.com + 2006-09-29 + + + Juern Laun + mailto:juern.laun&gmx.de + 1999-04-19 + + + Jeff Lawson + mailto:jlawson&ud.com + 2006-09-14 + + + Gwenael Le Bodic + mailto:Gwenael.Le_Bodic&alcatel.fr + 2001-03-20 + + + Eric Ledoux + mailto:ericle&microsoft.com + 2005-12-20 + + + Heungsub Lee + mailto:heungsub&subl.ee + 2023-02-13 + + + Franck Lefevre + mailto:franck&k1info.com + 2011-05-25 + + + Peter Leis + mailto:peter.leis&nokia.comm + 2023-03-16 + + + Eric Lengyel + mailto:lengyel&terathon.com + 2014-04-28 + + + Steve Leow + mailto:Leost01&accpac.com + 1999-04-19 + + + Vladimir Levantovsky + mailto:vladimir.levantovsky&monotypeimaging.com + 2013-03-29 + + + Glenn Levitt + mailto:streetd1&ix.netcom.com + 1996-10-19 + + + Rhys Lewis + mailto:rhys&qualcomm.com + 2009-12-15 + + + Igor Lima Bolacha Severino + mailto:igor.lima&wehate.dev + 2023-05-11 + + + Paul Lindner + mailto:lindner&mudhoney.micro.umn.edu + 1993-06-19 + + + John Lines + mailto:john&paladin.demon.co.uk + 1998-01-19 + + + Sten Linnarsson + mailto:sten.linnarsson&ki.se + 2019-07-09 + + + Linux Foundation + mailto:kstewart&linuxfoundation.org + 2021-11-03 + + + Slawomir Lisznianski + mailto:sl&pushcoin.com + 2014-01-31 + + + Liu Qiancen + mailto:liu.qiancen&freelog.com + 2023-06-26 + + + Jones Lu Yunjie + mailto:jones.lu&ericsson.com + 2021-04-09 + + + Dovid Lubin + mailto:dovid&acucorp.com + 2002-06-20 + + + Mikusiak Lubos + mailto:lmikusia&blava-s.bratisla.ingr.com + 1996-10-19 + + + Matthias Ludwig + mailto:mludwig&quobject.com + 2011-03-08 + + + Dan Luhring + mailto:dan.luhring&anchore.com + 2021-11-15 + + + Howard Lukk + mailto:hlukk&smpte.org + 2017-12-11 + + + Tim Macdonald + mailto:tim.macdonald&actf.com.au + 2005-11-20 + + + Ilan Mahalal + mailto:ilan.mahalal&gemalto.com + 2006-09-13 + + + AC Mahendran + mailto:ac&qualcomm.com + 2007-11-06 + + + Piotr Majdak + mailto:piotr.majdak&oeaw.ac.at + 2020-06-16 + + + Shawn Maloney + mailto:shawnmal&microsoft.com + 2014-04-11 + + + Lucas Maneos + mailto:iana&pragmaticomm.com + 2005-12-20 + + + Phillip Maness + mailto:phillip.maness&xperi.com + 2018-11-14 + + + Dave Manning + mailto:dmanning&uwi.com + 2014-01-01 + + + Michael Mansell + mailto:mmansell&ca.ibm.com + 2009-02-18 + + + Paolo Marcheschi + mailto:paolo.marcheschi&ftgm.it + 2023-08-03 + + + Jérôme Marcon + mailto:jerome.marcon&alcatel-lucent.com + 2010-02-24 + + + Benson Margulies + mailto:benson&basistech.com + 2016-01-27 + + + Bruce Martin + mailto:iana-registrar&uplanet.com + 1998-11-19 + + + Steven Martin + mailto:smartin&xis.xerox.com + 1997-10-19 + + + Takashi Matsumoto + mailto:takashi.matsumoto&fujixerox.co.jp + 2000-02-20 + + + David Matthewman + mailto:david&xara.com + 1996-10-19 + + + Lisa Mattson + mailto:lmattson&imsglobal.org + 2015-01-08 + + + Pascal Mayeux + mailto:pmayeux&cirpack.com + 2006-11-13 + + + Brian McColgan + mailto:b_mccolgan&hotmail.com + 2011-05-04 + + + Braden N. McDaniel + mailto:braden&endoframe.com + 2000-10-20 + + + Brett McDowell + mailto:brett.mcdowell&ieee-isto.org + 2003-02-20 + + + Jesse McGatha + mailto:jessmc&microsoft.com + 2006-03-20 + + + Tom McGinty + mailto:tmcginty&dma.isg.mot.com + + + Ann McLaughlin + mailto:amclaughlin&comversens.com + 1999-04-19 + + + Alexey Meandrov + mailto:alexey.meandrov&xcds.com + 2017-12-12 + + + Roland Mechling + mailto:roland&mechling.de + 2009-03-04 + + + Ian Medland + mailto:imedland&dtg.org.uk + 2012-12-21 + + + Roger Meier + mailto:roger&apache.org + 2014-11-25 + + + Donald L. Mendelson + mailto:donmendelson&silver-flash.net + 2020-04-14 + + + Christian Mercat + mailto:Christian.Mercat&univ-montp2.fr + 2009-05-12 + + + John M. Meredith + mailto:john.meredith&etsi.org + 2009-10-13 + + + MIDI Manufacturers Association (d/b/a The MIDI Association) + mailto:info&midi.org + 2024-03-18 + + + Anna Milan + mailto:amilan&wmo.int + 2024-07-05 + + + Andy Miller + mailto:amiller&imsglobal.org + 2020-10-02 + + + Steve Mills + mailto:smills&multiad.com + 2007-10-17 + + + James Minnis + mailto:james-minnis&glimpse-of-tomorrow.com + 2000-02-20 + + + Stephen Mizell + mailto:public&smizell.com + 2018-02-01 + + + Harms Moeller + mailto:harms&film-it.co.za + 2015-12-23 + + + Jodi Moline + mailto:jodim&softsource.com + 1996-04-19 + + + Andreas Molzer + mailto:andreas.molzer&nebumind.com + 2021-03-17 + + + Robert Monaghan + mailto:cld&illuscio.com + 2022-12-22 + + + Brent Moore + mailto:brent_moore&byu.edu + 2018-07-11 + + + Hiroyoshi Mori + mailto:mori&mm.rd.nttdata.co.jp + 1998-08-19 + + + Jay Moskowitz + mailto:jay&aethersystems.com + 2001-03-20 + + + Daniel Mould + mailto:dmould&airzip.com + 2009-02-18 + + + John Mudge + mailto:helpdesk&omaorg.org + 2020-08-03 + + + Benedikt Muessig + mailto:benedikt&resilient-group.de + 2021-06-02 + + + Masanori Murai + mailto:masanori.murai&mb.softbank.co.jp + 2007-12-20 + + + Makoto Murata + mailto:eb2m-mrt&asahi-net.or.jp + 2011-03-23 + + + Aidan Murdock + mailto:aidan.murdock&ncia.nato.int + 2023-11-27 + + + Kevin Murray + mailto:kamurray&nds.com + 2011-05-09 + + + Shin Muto + mailto:shinmuto&pure.cpdc.canon.co.jp + 2000-05-20 + + + Andy Mutz + mailto:andy_mutz&hp.com + 1997-12-19 + + + Giuseppe Naccarato + mailto:giuseppe.naccarato&picsel.com + 2003-11 + + + Irakli Nadareishvili + mailto:irakli&gmail.com + 2018-03-06 + + + Yasuhito Nagatomo + mailto:naga&rd.oda.epson.co.jp + 1998-01-19 + + + Shuji Nakamura + mailto:shuji&mri.co.jp + 2008-02-07 + + + The National Archives, UK + mailto:DigitalPreservation&nationalarchives.gsi.gov.uk + 2014-11-21 + + + Satish Natarajan + mailto:satish&infoseek.com + 1998-08-19 + + + Filip Navara + mailto:navara&emclient.com + 2009-02-18 + + + NGA National Center for Geospatial Intelligence Standards (NCGIS) + + 2019-08-21 + + + Jonathan Neitz + mailto:jneitz&smarttech.com + 2009-12-17 + + + Jan Nelson + mailto:jann&microsoft.com + 2000-05-20 + + + National Emergency Number Association (NENA) + https://www.nena.org + 2022-10-10 + + + David Neto + mailto:dneto&google.com + 2023-01-12 + + + Max Neuendorf + mailto:max.neuendorf&iis.fraunhofer.de + 2018-04-06 + + + Thinh Nguyenphu + mailto:thinh.nguyenphu&nsn.com + 2008-02-07 + + + Jonathan Niedfeldt + mailto:jniedfeldt&americature.org + 2004-04-20 + + + Node.js Technical Steering Committee + mailto:tsc&nodejs.org + 2017-12-11 + + + Nokia Corporation + mailto:mime&nokia.com + 2007-05-25 + + + Paul Norman + mailto:paul.norman&osmfoundation.org + 2016-10-05 + + + Mark Nottingham, see registration template for e-mail + 2004-12 + + + NTT-local + mailto:ngn-fmt-regist&ml.east.ntt.co.jp + 2014-07-25 + + + Magnus Nyström + mailto:magnus&rsasecurity.com + 2006-03-23 + + + OASIS + https://www.oasis-open.org + mailto:tc-admin&oasis-open.org + + + OASIS Security Services Technical Committee (SSTC), see registration template for e-mail + 2004-12 + + + OASIS TC Admin + mailto:project-admin&oasis-open.org + 2022-06-07 + + + Open Geospatial Consortium (OGC) + http://www.opengeospatial.org + + + Open Mobile Alliance + mailto:technical-comments&openmobilealliance.org + 2010-07-20 + + + OMA-DM Work Group + mailto:technical-comments&openmobilealliance.org + 2012-06-15 + + + OMA Data Synchronization Working Group + mailto:technical-comments&mail.openmobilealliance.org + 2014-05-01 + + + OMA Presence and Availability (PAG) Working Group + mailto:technical-comments&mail.openmobilealliance.org + 2006-09-14 + + + OMA Push to Talk over Cellular (POC) Working Group + mailto:technical-comments&mail.openmobilealliance.org + 2008-01-24 + + + Michael O'Brien + mailto:meobrien1&mmm.com + 1998-01-19 + + + Tim Ocock + mailto:tim.ocock&symbian.com + 2003-09-20 + + + Masumi Ogita + mailto:ogita&oa.tfl.fujitsu.co.jp + 1997-10-19 + + + Seiji Okudaira + mailto:okudaira&candy.paso.fujitsu.co.jp + 1997-10-19 + + + Mark Olleson + mailto:mark.olleson&yamaha.co.uk + 2009-03-11 + + + Thomas Olsson + mailto:thomas&vinga.se + 1998-04-19 + + + Franz Ombler + mailto:franz&1000minds.com + 2017-06-06 + + + Masanori Onda + mailto:Masanori.Onda&fujixerox.co.jp + 2000-02-20 + + + OPC Foundation + mailto:sysadmin&opcfoundation.org + 2020-09-01 + + + OpenID Foundation Artifact Binding Working Group + mailto:openid-specs-ab&lists.openid.net + 2022-10-07 + + + Open Mobile Naming Authority (OMNA) + mailto:OMA-OMNA&mail.openmobilealliance.org + 2020-08-03 + + + Open Mobile Alliance's BAC DLDRM Working Group + mailto:technical-comments&mail.openmobilealliance.org + 2006-03-23 + + + Organization for the Promotion, Protection and Progress of Frogans Technology (OP3FT) + mailto:contact-standards&op3ft.org + 2020-05-04 + + + World Meteorological Organization (WMO) + https://wmo.int/ + 2024-07-05 + + + Miguel Angel Reina Ortega + mailto:MiguelAngel.ReinaOrtega&etsi.org + 2020-01-10 + + + Tapani Otala + mailto:otala&adobe.com + 2009-07-28 + + + Mark Otaris + mailto:mark.otaris&openmailbox.org + 2015-08-28 + + + Ozgur Oyman + mailto:ozgur.oyman&intel.com + 2014-04-16 + + + Yutaka Ozaki + mailto:yutaka_ozaki&gen.co.jp + 1999-01-19 + + + Jörg Palmer + mailto:Joerg.Palmer&compart.com + 2020-10-12 + + + John Palmieri + mailto:johnp&redhat.com + 2007-06-07 + + + Jorge Pando + mailto:jpan&pocketlearn.com + 2006-03-23 + + + Pierre Papin + mailto:pierre.papin&senx.io + 2018-11-21 + + + Parasolid + mailto:ps-mimetype&ugs.com + 2000-10-20 + + + Sang Min Park + mailto:sangmin2.park&lge.com + 2023-03-20 + + + David Parker + mailto:davidparker&davidparker.com + 1999-08-19 + + + Curtis Parks + mailto:parks&eeel.nist.gov + 1995-04-19 + + + Nicholas Parks Young + mailto:nick&shadyindustries.com + 2007-12-03 + + + Stuart Parmenter + mailto:pavlov&pavlov.net + 2015-08-04 + + + Glenn Parsons + mailto:gparsons&nortelnetworks.com + 1999-02-19 + + + Pathway Commons + mailto:pc-info&pathwaycommons.org + mailto:biopax-discuss&googlegroups.org + 2015-06-09 + + + Mark Patton + mailto:fmp014&email.mot.com + 1999-03-19 + + + Frank Patz + mailto:fp&contact.de + 2000-09-20 + + + Gaige Paulsen + mailto:iana&gbp.gaige.net + 2010-11-16 + + + PCO AG + + 2020-09-17 + + + PDF Association + mailto:info&pdfa.org + 2022-02-25 + + + Gavin Peacock + mailto:gpeacock&palm.com + 2000-11-20 + + + Steven Pemberton + mailto:member-webapps&w3.org + 2010-03-09 + + + Bob Pentecost + mailto:bpenteco&boi.hp.com + 1997-03-19 + + + Petr Peterka + mailto:info&verimatrix.com + 2010-08-31 + + + Nils Peters + mailto:npeters&qti.qualcomm.com + 2020-04-04 + + + David Petersen + mailto:david.petersen&sealedmedia.com + 2003-09-20 + + + Silvia Pfeiffer + mailto:silviapfeiffer1&gmail.com + 2019-10-14 + + + Peeter Piegaze + mailto:ppiegaze at adobe.com + 2003-09-20 + + + Francois Pirsch + mailto:fpirsch&geocube.fr + 2009-12-15 + + + Dan Plastina + mailto:danpl&microsoft.com + 2002-03-20 + + + Charles Plessy + mailto:plessy&debian.org + 2014-05-20 + + + PNG Working Group + mailto:public-png&w3.org + 2021-12-07 + + + Clemens Portele + mailto:portele&interactive-instruments.de + 2017-01-09 + + + Mark Powell + mailto:mpowell&bluetooth.com + 2013-09-06 + + + Michael Powers + mailto:powers&insideout.net + 1999-01-19 + + + Jason Pratt + mailto:jason.pratt&autodesk.com + 1997-08-19 + + + Joe Prevo + mailto:joe&prevo.com + 2002-01-20 + + + Avi Primo + mailto:aprimo&celltick.com + 2008-04-28 + + + Eric Prud'hommeaux + mailto:eric at w3.org + 2021-05-10 + + + Jann Pruulmann + mailto:jaan&fut.ee + 1998-12-19 + + + Boris Rabinovitch + mailto:boris&virtue3d.com + 2000-02-20 + + + Chris Rae + mailto:chris.rae&microsoft.com + 2011-02-22 + + + Purva R Rajkotia + mailto:prajkoti&qca.qualcomm.com + 2012-06-05 + + + Sridhar Ramakrishnan + mailto:admin&arnexa.com + 2023-08-04 + + + Ben Ramsey + mailto:ben&shootproof.com + 2018-04-06 + + + Bindu Rama Rao + mailto:brao&bitfone.com + 2006-09-14 + + + Marcin Rataj + mailto:lidel&ipshipyard.com + 2024-02-08 + + + Uwe Rauschenbach + mailto:uwe.rauschenbach&nokia.com + 2015-03-05 + + + Joseph Reagle + mailto:reagle&w3.org + 2006-03-20 + + + Heiko Recktenwald + mailto:uzs106&uni-bonn.de + 2000-11-20 + + + Saveen Reddy + mailto:saveenr&miscrosoft.com + 1999-07-19 + + + Nick Reeves + mailto:ndr&realvnc.com + 2009-08-04 + + + Yaser Rehem + mailto:yrehem&sapient.com + 1997-02-19 + + + Petter Reinholdtsen + mailto:pere-iana&hungry.com + 2019-06-03 + + + Pete Resnick + mailto:presnick&qualcomm.com + 2000-02-20 + + + Cynthia Revström + mailto:iana&cynthia.re + 2020-09-29 + + + Bryn Rhodes + mailto:bryn&dynamiccontentgroup.com + 2020-12-08 + + + David Riccitelli + mailto:david&wordlift.io + 2023-01-04 + + + Steve Rice + mailto:developers&pagerduty.com + 2015-09-30 + + + Jamie Riden + mailto:jamie&umajin.com + 2006-03-31 + + + James Riordon + mailto:webmaster&khronos.org + 2011-02-01 + + + Mark Risher + mailto:markr&vividence.com + 2000-12-20 + + + Dave Robin + mailto:iana2&daverobin.com + 2014-01-29 + + + Steve Rogan + mailto:rogans&nga.mil + 2012-02-16 + + + Luc Rogge + mailto:rluc&villagedata.com + 2006-05-18 + + + Erik Ronström + mailto:erik.ronstrom&doremir.com + 2014-07-25 + + + Marshall Rose + mailto:mrose&dbc.mtview.ca.us + 1995-04-19 + + + Leonard Rosenthol + mailto:lrosenth&adobe.com + 2023-09-25 + + + Frank Rottmann + mailto:Frank.Rottmann&web.de + 2008-07-23 + + + Delton Rowe + mailto:cadman&gte.net + 2002-01-20 + + + Khemchart Rungchavalnont + mailto:khemcr&cpu.cp.eng.chula.ac.th + 1997-07-19 + + + Rick Rupp + mailto:onesource-mediatype&tr.com + 2016-09-27 + + + Manichandra Sajjanapu + mailto:mcnc33&gmail.com + 2018-08-09 + + + Matti Salmi + mailto:matti.salmi&nokia.com + 2003-03-20 + + + Troy Sandal + mailto:troys&visio.com + 1997-11-19 + + + Anders Sandholm + mailto:sandholm&google.com + 2011-12-14 + + + Dominique Sandoz + mailto:dominique&medicalholodeck.com + 2023-01-02 + + + Gary Sands + mailto:gsands&tycoint.com + 2008-01-25 + + + Paul Santinelli, Jr. + mailto:psantinelli&narrative.com + 1996-10-19 + + + SAP SE + mailto:igor.afanasyev&sap.com + 2021-03-23 + + + Samu Sarivaara + mailto:iana-contact&f-secure.com + 2008-10-22 + + + Biplab Sarkar + mailto:Biplab&nemetschek.net + 2008-10-16 + + + Jun Sato + mailto:junn.sato&toshiba.co.jp + 2006-03-23 + + + Kim Scarborough + mailto:user&unknown.nu + 2017-12-11 + + + Hannes Scheidler + mailto:hscheidler&quark.com + 2002-10-20 + + + Daniel Schneider + mailto:danielsc&microsoft.com + 2007-05-03 + + + Thomas Schoffelen + mailto:thomas&nearst.co + 2016-08-12 + + + Frank Schoonjans + mailto:info&medcalc.be + 2006-03-20 + + + Arno Schoedl + mailto:aschoedl&think-cell.com + 2018-04-16 + + + Heinz-Peter Schütz + mailto:heinz.schuetz&bint.ch + 2017-04-07 + + + Jan Schütze + mailto:jans&dracoblue.de + 2017-01-09 + + + Christian V. Sciberras + mailto:contact&covac-software.com + 2008-09-19 + + + Greg Scratchley + mailto:greg_scratchley&intuit.com + 1998-10-19 + + + Meredith Searcy + mailto:msearcy&newmoon.com + 1997-06-19 + + + GA4GH Secretariat + mailto:info&ga4gh.org + 2024-05-14 + + + Svante Seleborg + mailto:svante&axantum.com + 2024-01-03 + + + Guy Selzler + mailto:gselzler&shana.com + 1997-02-19 + + + Sequence Ontology + mailto:song-devel&lists.utah.edu + 2020-08-17 + + + Doug R. Serres + mailto:doug.serres&hummingbird.com + 2014-05-01 + + + Sapan Shah + mailto:sapan.shah&samsung.com + 2023-03-20 + + + Fawad Shaikh + mailto:fawad&candle.dev + 2022-09-05 + + + Rafie Shamsaasef + mailto:rafie&motorola.com + 2008-08-12 + + + Ehud Shapiro + + + Daniel Shelton + mailto:sheltond&tao-group.com + 2007-08-14 + + + Reuven Sherwin + mailto:reuven.sherwin&xmpie.com + 2007-03-20 + + + Reed Shilts + mailto:reed.shilts&sybase.com + 1999-08-19 + + + Keiichi Shinoda + mailto:shino-k&post.yamaha.co.jp + 2003-07-20 + + + Alex Sibilev + mailto:alex.sibilev&tmd.tv + 2014-11-06 + + + Peter Siebert + mailto:siebert&dvb.org + 2011-06-08 + + + Scott Simmons + mailto:ssimmons&ogc.org + 2023-11-27 + + + Ben Simon + mailto:BenS&crt.com + 1998-09-19 + + + Steven Simonoff + mailto:scs&triscape.com + 1999-08-19 + + + Ray Simpson + mailto:ray&cnation.com + 1998-01-19 + + + Robby Simpson + mailto:robby.simpson&ieee.org + 2024-04-16 + + + Daniel Sims + mailto:danielgarthsims&gmail.com + 2015-06-01 + + + David Singer + mailto:singer&apple.com + 2018-07-30 + + + Swedish Standards Institute (SIS) + http://www.sis.se/ + 2014-07-09 + + + Fu Siyuan + mailto:siyuan.fu&intel.com + 2017-01-30 + + + Dean Slawson + mailto:deansl&microsoft.com + 1996-05-19 + + + Horia Cristian Slusanschi + mailto:H.C.Slusanschi&massey.ac.nz + 1998-01-19 + + + Christopher Smith + mailto:christopher.smith+iana&artsquare.com + 2014-08-01 + + + Derek Smith + mailto:derek&friendlysoftware.com + 2000-11-20 + + + Joey Smith + mailto:joeysmith&gmail.com + 2015-12-24 + + + Nick Smith + mailto:nas&ant.co.uk + 1995-06-19 + + + Roman Smolgovsky + mailto:romans&previewsystems.com + 1999-04-19 + + + Society of Motion Picture and Television Engineers (SMPTE) + http://www.smpte.org + + + Director of Standards Development + mailto:dir.standards&smpte.org + 2024-06-07 + + + Christopher Snazell + mailto:csnazell&astraea-software.com + 2011-05-04 + + + Chris Solc + mailto:csolc&adobe.com + 2012-02-16 + + + Monty Solomon + mailto:monty&noblenet.com + 1997-02-19 + + + Henry Spencer + mailto:henry&zoo.utoronto.ca + 1993-06-19 + + + Marc Douglas Spencer + mailto:marcs&itc.kodak.com + 1996-10-19 + + + Jim Spiller + mailto:jspiller&criticaltools.com + 2003-06-20 + + + Kerrick Staley + mailto:kerrick&kerrickstaley.com + 2015-09-01 + + + Peter Stark + mailto:stark&uplanet.com + 1999-03-19 + + + Sebastian Stenzel + mailto:sebastian.stenzel&skymatic.de + 2021-04-12 + + + Michael Steidl + mailto:mdirector&iptc.org + 2014-01-29 + + + William Stevenson + mailto:dev&maxmind.com + 2014-07-25 + + + Thomas Stockhammer + mailto:stockhammer&nomor.de + 2013-03-29 + + + Armands Strazds + mailto:armands.strazds&medienhaus-bremen.de + 1999-01-19 + + + Markus Strehle + mailto:markus.strehle&sap.com + 2020-01-31 + + + Maik Stührenberg + mailto:maik&xstandoff.net + 2010-04-22 + + + Takanori Sudo + mailto:tsudo&innopath.com + 2011-12-14 + + + Masahiko Sugimoto + mailto:sugimoto&sz.sel.fujitsu.co.jp + 1997-10-19 + + + Taisuke Sugimoto + mailto:sugimototi&noanet.nttdata.co.jp + 1999-04-19 + + + Takehiro Sukizaki + mailto:sukizaki&soundnet.yamaha.co.jp + 2011-04-07 + + + Bryan Sullivan + mailto:bryan.sullivan&att.com + 2009-08-20 + + + Kumar Swaminathan + mailto:kswami&hns.com + 2006-03-23 + + + Jon Swanson + mailto:jswanson&insors.com + 2010-10-12 + + + Michael Sweet + mailto:msweet&apple.com + 2017-05-12 + + + Janine Swenson + mailto:janine&novadigm.com + 1998-01-19 + + + Kevin Swiber + mailto:kswiber&gmail.com + 2012-11-27 + + + Etay Szekely + mailto:etay&emultek.co.il + 1996-10-19 + + + Kamila Szewczyk + mailto:kspalaiologos&gmail.com + 2023-11-08 + + + Stefan Szilva + mailto:stefan.szilva&gmail.com + 2024-01-12 + + + Tom White + mailto:twhite&midi.org + 2007-01-30 + + + Hiroaki Takahashi + mailto:takaha&beat.yamaha.co.jp + 2002-01-20 + + + Martin Talbot + mailto:Martin.Talbot&ubisoft.com + 2011-01-25 + + + Alexis Tamas + mailto:alexis.tamas&op3ft.org + 2020-05-04 + + + Fumio Tanabe + mailto:fumio.tanabe&fujixerox.co.jp + 2006-05-18 + + + Manabu Tanaka + mailto:mtana&iss.isl.melco.co.jp + 1997-09-19 + + + Wei Tang + mailto:hi&that.world + 2017-09-08 + + + Bruce Tantlinger + mailto:bat&us.ibm.com + 2003-05-20 + + + Mi Tar + mailto:mitar.iana&tnode.com + 2020-09-18 + + + Lauri Tarkkala + mailto:Lauri.Tarkkala&sonera.com + 2007-12-20 + + + Kiyoshi Tashiro + mailto:Kiyoshi.Tashiro&fujixerox.co.jp + 2013-06-25 + + + Akinori Taya + mailto:a.taya&west.east.ntt.co.jp + 2012-07-09 + + + Anatoly Techtonik + mailto:techtonik&php.net + 2006-04-11 + + + Jouko Tenhunen + mailto:jouko.tenhunen&nokia.com + 2003-11-01 + + + Johann Terblanche + mailto:johann.terblanche&sycle.net + 2020-09-02 + + + Hemant Thakkar + mailto:hemant&kinar.com + 2004-03-20 + + + Blake Thompson + mailto:flippmoke&gmail.com + 2015-12-21 + + + Peter Thompson + mailto:pthompso&qualcomm.com + 2009-03-17 + + + Thomas Thomsen + mailto:thomas.thomsen&asam.net + 2014-12-04 + + + Jiang Tian + mailto:jiangt&digitalwave.cn + 2009-06-02 + + + Dr. Jun Tian + mailto:jtian&wi-fi.org + 2020-10-19 + + + Paul Tidwell + mailto:paul.tidwell&ericsson.com + 2000-02-20 + + + Peter Todd + mailto:pete&petertodd.org + 2021-06-24 + + + Nobukazu Togashi + mailto:togashi&ai.cs.fujitsu.co.jp + 1997-06-19 + + + Luke Tomasello + mailto:luket&intertrust.com + + + Szilveszter Tóth + mailto:sztoth&microsec.hu + 2007-07-31 + + + Chad Trabant + mailto:chad&iris.washington.edu + 2009-04-07 + + + Dana Tripp + mailto:trippdsc4&gmail.com + 2021-08-10 + + + Christian Trosclair + mailto:christian&patentdive.com + 2017-10-19 + + + Martin Tůma + mailto:tumic&gpxsee.org + 2023-02-09 + + + Jeff Tupper + mailto:tupper&peda.com + 2000-02-20 + + + Eric Turcotte + mailto:eric.turcotte&ericsson.com + 2013-07-23 + + + Brad Turner + mailto:vnd.artisan&clanofartisans.com + 2018-05-07 + + + Glen Turner + mailto:gdt&gdt.id.au + 2011-03-30 + + + UEFI Forum + mailto:unst&uefi.org + 2016-04-06 + + + David Underdown + mailto:DigitalPreservation&nationalarchives.gsi.gov.uk + 2014-11-21 + + + Unity3d + mailto:mime&unity3d.com + 2007-07-03 + + + Oleg Uryutin + mailto:oleg&aplextor.com + 2019-11-21 + + + Filippo Valsorda + mailto:age&filippo.io + 2021-10-05 + + + Ben van Hartingsveldt + mailto:ben.vanhartingsveldt&yocto.com + 2024-05-06 + + + Anne van Kesteren + mailto:annevk&annevk.nl + 2020-07-14 + + + Greg Vaudreuil + mailto:gregv&lucent.com + 1999-01-19 + + + Gregory Vaughan + mailto:gregva&microsoft.com + 2003-03-20 + + + Heikki Vesalainen + mailto:heikkivesalainen&yahoo.com + 2009-10-13 + + + Mathieu Villegas + mailto:mimetype&immervision.com + 2007-03-20 + + + Sidharth Vinod + mailto:iana&mermaid.js.org + 2023-09-18 + + + Martin Vondrous + mailto:vondrous&602.cz + 2008-08-06 + + + Vladimir Vysotsky + mailto:vvysotsky&avistar.com + 2006-09-14 + + + W3C + http://www.w3.org/ + + + W3C Music Notation Community Group + mailto:public-music-notation&w3.org + 2017-01-19 + + + PNG Working Group + mailto:public-png&w3.org + 2022-11-21 + + + RDF Working Group + mailto:public-rdf-comments&w3.org + 2016-11-30 + + + W3C SHACL Community Group + https://www.w3.org/community/shacl + 2020-06-30 + + + Timed Text Working Group + mailto:public-tt&w3.org + 2016-09-27 + + + Takatomo Wakibayashi + mailto:takatomo.wakibayashi&fujixerox.co.jp + 2019-12-03 + + + WAP Forum Ltd. + mailto:wap-feedback&mail.wapforum.org + 2000-02-20 + + + Mark Wahl + mailto:Mark.Wahl&informed-control.com + 2006-10-24 + + + Linus Walleij + mailto:triad&df.lth.se + 2000-07-20 + + + Paul Walsh + mailto:paul.walsh&okfn.org + 2017-05-01 + + + David Waltermire + mailto:david.waltermire&nist.gov + 2019-09-03 + + + Hao Wang + mailto:howard.wang&huawei.com + 2012-08-09 + + + Greg Ward + mailto:gregoryjward&gmail.com + 2009-03-04 + + + Mike Ward + mailto:mcw&dolby.com + 2007-06-18 + + + Fred Waskiewicz + mailto:wask&omg.org + 2008-05-01 + + + Paul Wattenberger + mailto:Paul_Wattenberger&lotus.com + 1997-06-19 + + + Web3D Consortium + 2014-01-15 + + + Web3D X3D Working Group Chairs + mailto:x3d-chair&web3d.org + 2014-04-08 + + + Steve Webb + mailto:steve&wynde.com + 1996-10-19 + + + Eric Wedel + mailto:ewedel&meridian-data.com + 1996-10-19 + + + Sebastian A. Weiss + mailto:sebastian.weiss&nacamar.de + 2021-09-27 + + + Linda Welsh + mailto:linda&intel.com + 2000-11-20 + + + Bjorn Wennerstrom + mailto:bjorn.wennerstrom&synergenix.se + 2002-06-20 + + + Mike Wexler + mailto:mwexler&frame.com + 1996-04-19 + + + Thomas Weyn + mailto:thomas.weyn&ucamco.com + 2015-02-05 + + + WHATWG + https://www.whatwg.org/ + 2020-07-14 + + + Catherine E. White + mailto:cewhite&llamagraphics.com + 2003-03-20 + + + Wi-Fi Alliance + mailto:tech&wi-fi.org + 2020-10-19 + + + James Wick + mailto:jrwick&renlearn.com + 2004-02-20 + + + Glenn Widener + mailto:glennw&ndg.com + 1997-06-19 + + + Frank Wiebeler + mailto:frank.wiebeler&dev4agriculture.de + 2019-05-17 + + + Ulrich Wiehe + mailto:ulrich.wiehe&nokia.com + 2021-04-28 + + + James Wigger + mailto:james&rootstudio.co.uk + 2016-04-04 + + + Jørn Wildt + mailto:jw&fjeldgruppen.dk + 2014-04-08 + + + George Williams + mailto:gww&silcom.com + 2008-05-13 + + + Marc Winter + mailto:info&fluxtime.com + 2005-12-20 + + + Bill Wohler + mailto:wohler&newt.com + 1997-07-19 + + + John Wolfe + mailto:John_Wolfe.VIVO&vivo.com + 1996-04-19 + + + Wolfram Research + mailto:info&wolfram.com + 2009-10-15 + + + Laura Wood + mailto:ytb-external&google.com + 2017-12-15 + + + Tim Woodward + mailto:tim.woodward&motorolasolutions.com + 2018-07-30 + + + Don Wright + mailto:don&lexmark.com + 2001-08-20 + + + Peter Wyatt + mailto:peter.wyatt&pdfa.org + 2022-02-25 + + + XENC Working Group + mailto:xml-encryption&w3.org + 2006-03-21 + + + Feiyu Xie + mailto:xie&net2phone.com + 2002-01-20 + + + Chunyun Xiong + mailto:frankxiong&chipnuts.com + 2006-06-27 + + + Yiling Xu + mailto:yiling.xu&samsung.com + 2009-03-11 + + + Tomohiro Yamamoto + mailto:tyamamoto&asc.yamaha.co.jp + 2003-04-20 + + + Yasuo Yamanaka + mailto:yasuo.yamanaka&dir-bi.co.jp + 2009-02-24 + + + Haorui Yang + mailto:yanghaorui&oppo.com + 2022-09-05 + + + Mr. Yellow + mailto:yellowriversw&yahoo.com + 1998-03-19 + + + Yang Yong + mailto:frank.yong.yang&ericsson.com + 2021-04-09 + + + Jun Yoshitake + mailto:yositake&iss.isl.melco.co.jp + 1997-02-19 + + + Roy Yue + mailto:yuepeiyu&huawei.com + 2009-03-04 + + + Dmytro Yunchyk + mailto:yunchik&belightsoft.com + 2022-06-27 + + + Giulio Zambon + mailto:giulio&giuliozambon.org + 2013-11-06 + + + Rintze M. Zelle + mailto:rintze.zelle&gmail.com + 2015-02-23 + + + Jan Zeman + mailto:development&pco.de + 2020-09-17 + + + Wenjun Zeng + mailto:zengw&huawei.com + 2009-12-15 + + + Nathan Zerbe + mailto:nzerbe&directv.com + 2010-09-22 + + + Dali Zheng + mailto:d&liwa.li + 2015-03-16 + + + Gottfried Zimmermann + mailto:gzimmermann at acm.org + 2013-06-24 + + + Michael Zink + mailto:mike.zink&siemens.com + 2023-01-24 + + + William Zou + mailto:bill.zou&dts.com + 2008-08-06 + + + Jim Zubov + mailto:jz&vesvault.com + 2019-05-02 + + + + From 1fa6c4d1a8df6290e0b58095f7c7d013897a0632 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Wed, 17 Jul 2024 14:15:56 +0200 Subject: [PATCH 16/48] Implement VocabularyBase --- api/utils.py | 109 ++++++++++++++++++++++++++++++++------------------- 1 file changed, 68 insertions(+), 41 deletions(-) diff --git a/api/utils.py b/api/utils.py index 339f9dc4..3f4084c6 100644 --- a/api/utils.py +++ b/api/utils.py @@ -799,7 +799,74 @@ def make_http_request(url, request_type="GET", verify=False): return payload -class Vocabularies: +class VocabularyBase: + _name = "" + enable_remote_check = False + remote_endpoint = "" + remote_username = "" + remote_password = "" + local_cache = "" + + @property + def name(self): + return self._name + + @name.setter + def name(self, name): + self._name = name + + def _get_token(self): + return NotImplementedError + + def _login(self): + return NotImplementedError + + def _remote_or_local_query(self, search_item=None, perform_login=False): + content = [] + # Get content from remote endpoint + error_on_request = False + if self.enable_remote_check: + logging.debug("Accessing vocabulary '%s' remotely" % self.name) + headers = {} + if perform_login: + logging.debug( + "Login is required for endpoint: %s" % self.remote_endpoint + ) + headers = self._login() + logging.debug( + "Requesting vocabulary content through endpoint: %s" + % self.remote_endpoint + ) + response = requests.request("POST", self.remote_endpoint, headers=headers) + if response.ok: + logging.debug( + "Successfully returned content from endpoint: %s" + % self.remote_endpoint + ) + content = response.json() + else: + logging.warning( + "Failed to obtain records from endpoint: %s" % response.text + ) + error_on_request = True + # Get content from local cache + if not self.enable_remote_check or error_on_request: + logging.debug( + "Accessing vocabulary '%s' from local cache: %s" + % (self.name, self.local_cache) + ) + local_cache_full = os.path.join(app_dirname, self.local_cache) + logging.debug("Full path to local cache: %s" % local_cache_full) + f = open(local_path_full, "r") + content = json.load(f) + logging.debug("Successfully loaded local cache: %s" % content) + f.close() + + return content + + +class MediaTypesVocabulary(VocabularyBase): + name = "IANA Media Types" _config = load_config() @classmethod @@ -882,46 +949,6 @@ def get_api_headers(self): return headers - def _remote_or_local_query(self, search_item=None): - fairlist = [] - error_on_request = False - if self.username and self.password: - logging.debug( - "Credentials found in config.ini for connecting to FAIRsharing API" - ) - headers = self.get_api_headers() - if headers: - url = self.paths[search_item]["remote"] - logging.debug("Request to FAIRsharing API: %s" % url) - response = requests.request("POST", url, headers=headers) - if response.ok: - logging.debug("Successfully returned records from FAIRsharing API") - fairlist = response.json() - else: - logging.warning( - "Failed to obtain records from FAIRsharing API: %s" - % response.text - ) - error_on_request = True - else: - error_on_request = True - - if error_on_request: - local_path = self.paths[search_item]["local"] - if local_path: - local_path_full = os.path.join(app_dirname, local_path) - logging.warning("Using local cache: %s" % local_path_full) - f = open(local_path_full, "r") - fairlist = json.load(f) - logging.debug("Successfully loaded local cache: %s" % fairlist) - f.close() - else: - logging.warning( - "Local cache file for search item '%s' not defined" % search_item - ) - - return fairlist - @property def metadata_standards(self): api_results = self._remote_or_local_query(search_item="metadata_standards") From 0871bdd584832204033c251daddddabda54926ea Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Fri, 19 Jul 2024 12:01:01 +0200 Subject: [PATCH 17/48] Add vocabulary classes in a individual file --- api/utils.py | 169 ----------------------------------------- api/vocabulary.py | 187 ++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 187 insertions(+), 169 deletions(-) create mode 100644 api/vocabulary.py diff --git a/api/utils.py b/api/utils.py index 3f4084c6..400d353f 100644 --- a/api/utils.py +++ b/api/utils.py @@ -799,175 +799,6 @@ def make_http_request(url, request_type="GET", verify=False): return payload -class VocabularyBase: - _name = "" - enable_remote_check = False - remote_endpoint = "" - remote_username = "" - remote_password = "" - local_cache = "" - - @property - def name(self): - return self._name - - @name.setter - def name(self, name): - self._name = name - - def _get_token(self): - return NotImplementedError - - def _login(self): - return NotImplementedError - - def _remote_or_local_query(self, search_item=None, perform_login=False): - content = [] - # Get content from remote endpoint - error_on_request = False - if self.enable_remote_check: - logging.debug("Accessing vocabulary '%s' remotely" % self.name) - headers = {} - if perform_login: - logging.debug( - "Login is required for endpoint: %s" % self.remote_endpoint - ) - headers = self._login() - logging.debug( - "Requesting vocabulary content through endpoint: %s" - % self.remote_endpoint - ) - response = requests.request("POST", self.remote_endpoint, headers=headers) - if response.ok: - logging.debug( - "Successfully returned content from endpoint: %s" - % self.remote_endpoint - ) - content = response.json() - else: - logging.warning( - "Failed to obtain records from endpoint: %s" % response.text - ) - error_on_request = True - # Get content from local cache - if not self.enable_remote_check or error_on_request: - logging.debug( - "Accessing vocabulary '%s' from local cache: %s" - % (self.name, self.local_cache) - ) - local_cache_full = os.path.join(app_dirname, self.local_cache) - logging.debug("Full path to local cache: %s" % local_cache_full) - f = open(local_path_full, "r") - content = json.load(f) - logging.debug("Successfully loaded local cache: %s" % content) - f.close() - - return content - - -class MediaTypesVocabulary(VocabularyBase): - name = "IANA Media Types" - _config = load_config() - - @classmethod - def get_iana_media_types(cls): - local_path = cls._config.get("vocabularies:iana_media_types", "local_path") - local_path_full = os.path.join(app_dirname, local_path) - logging.debug( - "Using local path file for IANA media types: %s" % local_path_full - ) - property_key_xml = cls._config.get( - "vocabularies:iana_media_types", "property_key_xml" - ) - logging.debug( - "Using XML property key '%s' to gather the list of media types" - % local_path_full - ) - import xml.etree.ElementTree as ET - - tree = ET.parse(local_path_full) - root = tree.getroot() - media_types_list = [ - media_type.text for media_type in root.iter(property_key_xml) - ] - logging.debug("List of IANA media types: %s" % media_types_list) - - return media_types_list - - -class FAIRsharingAPIUtils: - def __init__(self, username, password, metadata_path, format_path): - self.username = username - self.password = password - self._api_url = ( - "https://api.fairsharing.org/search/fairsharing_records?page[size]=2500&%s" - ) - self.paths = { - "metadata_standards": { - "local": metadata_path, - "remote": self._api_url - % "fairsharing_registry=standard&user_defined_tags=metadata standardization", - }, - "formats": { - "local": format_path, - "remote": self._api_url % "user_defined_tags=Geospatial data", - }, - "serialization": { - "local": "", - "remote": self._api_url % "domains=Resource metadata", - }, - } - self._metadata_standards = {} - self._formats = {} - self._serialization = {} - - def get_api_headers(self): - url_api_login = "https://api.fairsharing.org/users/sign_in" - payload = {"user": {"login": self.username, "password": self.password}} - login_headers = { - "Accept": "application/json", - "Content-Type": "application/json", - } - response = requests.request( - "POST", url_api_login, headers=login_headers, data=json.dumps(payload) - ) - # Get the JWT from the response.text to use in the next part. - headers = {} - if response.ok: - data = response.json() - token = data["jwt"] - logger.debug("Get token from FAIRsharing API: %s" % token) - headers = { - "Accept": "application/json", - "Content-Type": "application/json", - "Authorization": "Bearer {0}".format(token), - } - else: - logging.warning( - "Could not get token from FAIRsharing API: %s" % response.text - ) - - return headers - - @property - def metadata_standards(self): - api_results = self._remote_or_local_query(search_item="metadata_standards") - self._metadata_standards = api_results - return self._metadata_standards - - @property - def formats(self): - api_results = self._remote_or_local_query(search_item="formats") - self._formats = api_results - return self._formats - - @property - def serialization(self): - api_results = self._remote_or_local_query(search_item="serialization") - self._serialization = api_results - return self._serialization - - def check_fairsharing_abbreviation(fairlist, abreviation): for standard in fairlist["data"]: if abreviation == standard["attributes"]["abbreviation"]: diff --git a/api/vocabulary.py b/api/vocabulary.py new file mode 100644 index 00000000..078e68c4 --- /dev/null +++ b/api/vocabulary.py @@ -0,0 +1,187 @@ +from fair import app_dirname, load_config + +logging.basicConfig(stream=sys.stdout, level=logging.DEBUG) + + +class VocabularyConnection: + def __init__( + self, + ): + self.vocabulary_name = "" + self.enable_remote_check = False + self.remote_endpoint = "" + self.remote_username = "" + self.remote_password = "" + self.local_cache = "" + + def _get_token(self): + return NotImplementedError + + def _login(self): + return NotImplementedError + + def _remote_collect(self): + raise NotImplementedError + + def _local_collect(self): + raise NotImplementedError + + def collect(self, search_item=None, perform_login=False): + content = [] + # Get content from remote endpoint + error_on_request = False + if self.enable_remote_check: + logging.debug("Accessing vocabulary '%s' remotely" % self.name) + headers = {} + if perform_login: + logging.debug( + "Login is required for endpoint: %s" % self.remote_endpoint + ) + headers = self._login() + logging.debug( + "Requesting vocabulary content through endpoint: %s" + % self.remote_endpoint + ) + response = requests.request("POST", self.remote_endpoint, headers=headers) + if response.ok: + logging.debug( + "Successfully returned content from endpoint: %s" + % self.remote_endpoint + ) + content = response.json() + else: + logging.warning( + "Failed to obtain records from endpoint: %s" % response.text + ) + error_on_request = True + # Get content from local cache + if not self.enable_remote_check or error_on_request: + logging.debug( + "Accessing vocabulary '%s' from local cache: %s" + % (self.name, self.local_cache) + ) + local_cache_full = os.path.join(app_dirname, self.local_cache) + logging.debug("Full path to local cache: %s" % local_cache_full) + f = open(local_path_full, "r") + content = json.load(f) + logging.debug("Successfully loaded local cache: %s" % content) + f.close() + + return content + + +class IANAMediaTypes(VocabularyConnection): + name = "IANA Media Types" + _config = ( + load_config() + ) # FIXME: get only the properties from 'iana media types' section + + def _local_collect(self): + local_path = cls._config.get("vocabularies:iana_media_types", "local_path") + local_path_full = os.path.join(app_dirname, local_path) + logging.debug( + "Using local path file for IANA media types: %s" % local_path_full + ) + property_key_xml = cls._config.get( + "vocabularies:iana_media_types", "property_key_xml" + ) + logging.debug( + "Using XML property key '%s' to gather the list of media types" + % local_path_full + ) + import xml.etree.ElementTree as ET + + tree = ET.parse(local_path_full) + root = tree.getroot() + media_types_list = [ + media_type.text for media_type in root.iter(property_key_xml) + ] + logging.debug("List of IANA media types: %s" % media_types_list) + + return media_types_list + + +class FAIRsharingRegistry(VocabularyConnection): + def __init__(self, username, password, metadata_path, format_path): + self.username = username + self.password = password + self._api_url = ( + "https://api.fairsharing.org/search/fairsharing_records?page[size]=2500&%s" + ) + self.paths = { + "metadata_standards": { + "local": metadata_path, + "remote": self._api_url + % "fairsharing_registry=standard&user_defined_tags=metadata standardization", + }, + "formats": { + "local": format_path, + "remote": self._api_url % "user_defined_tags=Geospatial data", + }, + "serialization": { + "local": "", + "remote": self._api_url % "domains=Resource metadata", + }, + } + self._metadata_standards = {} + self._formats = {} + self._serialization = {} + + def _login(self): + url_api_login = "https://api.fairsharing.org/users/sign_in" + payload = {"user": {"login": self.username, "password": self.password}} + login_headers = { + "Accept": "application/json", + "Content-Type": "application/json", + } + response = requests.request( + "POST", url_api_login, headers=login_headers, data=json.dumps(payload) + ) + # Get the JWT from the response.text to use in the next part. + headers = {} + if response.ok: + data = response.json() + token = data["jwt"] + logger.debug("Get token from FAIRsharing API: %s" % token) + headers = { + "Accept": "application/json", + "Content-Type": "application/json", + "Authorization": "Bearer {0}".format(token), + } + else: + logging.warning( + "Could not get token from FAIRsharing API: %s" % response.text + ) + + return headers + + def _remote_collect(self): + self._login() + + @property + def metadata_standards(self): + api_results = self._remote_or_local_query(search_item="metadata_standards") + self._metadata_standards = api_results + return self._metadata_standards + + @property + def formats(self): + api_results = self._remote_or_local_query(search_item="formats") + self._formats = api_results + return self._formats + + @property + def serialization(self): + api_results = self._remote_or_local_query(search_item="serialization") + self._serialization = api_results + return self._serialization + + +class Vocabulary: + @staticmethod + def get_iana_media_types(): + return IANAMediaTypes.collect() + + @staticmethod + def get_fair_sharing(): + return FAIRsharingRegistry.collect() From 825e93e1ab3342b46601d6bc3015853ff53de67f Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Fri, 19 Jul 2024 12:04:47 +0200 Subject: [PATCH 18/48] Use Vocabulary class --- plugins/epos/plugin.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 113f2e44..2ffd0f5e 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -18,6 +18,7 @@ import api.utils as ut from api.evaluator import ConfigTerms, Evaluator +from api.vocabularies import Vocabulary from fair import load_config logging.basicConfig( @@ -1348,7 +1349,7 @@ def rda_i1_02m(self, **kwargs): } # FAIR-EVA-I1-02M-2: Serialization format listed under IANA Media Types - if content_type in ut.Vocabularies.get_iana_media_types(): + if content_type in Vocabulary.get_iana_media_types(): _checks["FAIR-EVA-I1-02M-2"] = { "success": True, "logs": [ From 5ebbb9d2820c2b4faa06294210fb77a48f8c9945 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Fri, 19 Jul 2024 12:11:24 +0200 Subject: [PATCH 19/48] Fix: module file name --- plugins/epos/plugin.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 2ffd0f5e..7371597f 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -18,7 +18,7 @@ import api.utils as ut from api.evaluator import ConfigTerms, Evaluator -from api.vocabularies import Vocabulary +from api.vocabulary import Vocabulary from fair import load_config logging.basicConfig( From 43bb7d059d12c72e7c67b8397232bb94b0ec546b Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Wed, 14 Aug 2024 14:31:14 +0200 Subject: [PATCH 20/48] Fix imports --- api/rda.py | 14 ++++++++------ api/vocabulary.py | 3 +++ 2 files changed, 11 insertions(+), 6 deletions(-) diff --git a/api/rda.py b/api/rda.py index bedea562..530120df 100644 --- a/api/rda.py +++ b/api/rda.py @@ -1,15 +1,17 @@ -import os import glob -import yaml -from api.evaluator import Evaluator -import api.utils as ut -from connexion import NoContent -from fair import app_dirname, load_config import importlib import logging +import os import sys from functools import wraps +import yaml +from connexion import NoContent + +import api.utils as ut +from api.evaluator import Evaluator +from fair import app_dirname, load_config + logging.basicConfig( stream=sys.stdout, level=logging.DEBUG, format="'%(name)s:%(lineno)s' | %(message)s" ) diff --git a/api/vocabulary.py b/api/vocabulary.py index 078e68c4..1e35f439 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -1,3 +1,6 @@ +import logging +import sys + from fair import app_dirname, load_config logging.basicConfig(stream=sys.stdout, level=logging.DEBUG) From 576a3dd750e045b52ad244b0b41467a8570d4046 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Wed, 14 Aug 2024 14:31:30 +0200 Subject: [PATCH 21/48] Fix: use logger --- api/rda.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/rda.py b/api/rda.py index 530120df..b5a9470a 100644 --- a/api/rda.py +++ b/api/rda.py @@ -1333,7 +1333,7 @@ def rda_all(body, eva): try: with open(api_config, "r") as f: documents = yaml.full_load(f) - logging.debug("API configuration successfully loaded: %s" % api_config) + logger.debug("API configuration successfully loaded: %s" % api_config) except Exception as e: message = "Could not find API config file: %s" % api_config logger.error(message) From 13c1f7fa39f2d10ea594fda2f2543c1f2b4ca2f8 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Mon, 19 Aug 2024 08:48:21 +0200 Subject: [PATCH 22/48] Move call to get_metadata() to the end of __init__ method --- plugins/epos/plugin.py | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 7371597f..5bd122e4 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -54,17 +54,6 @@ def __init__(self, item_id, oai_base=None, lang="en", config=None): self.id_type = "uuid" global _ _ = super().translation() - - # You need a way to get your metadata in a similar format - metadata_sample = self.get_metadata() - self.metadata = pd.DataFrame( - metadata_sample, - columns=["metadata_schema", "element", "text_value", "qualifier"], - ) - logger.debug("METADATA: %s" % (self.metadata)) - # Protocol for (meta)data accessing - if len(self.metadata) > 0: - self.access_protocols = ["http"] # headers self.metadata_endpoint_headers = {} # Config attributes @@ -133,6 +122,17 @@ def __init__(self, item_id, oai_base=None, lang="en", config=None): self.config["internet media types"]["path"] ) + # You need a way to get your metadata in a similar format + metadata_sample = self.get_metadata() + self.metadata = pd.DataFrame( + metadata_sample, + columns=["metadata_schema", "element", "text_value", "qualifier"], + ) + logger.debug("METADATA: %s" % (self.metadata)) + # Protocol for (meta)data accessing + if len(self.metadata) > 0: + self.access_protocols = ["http"] + @staticmethod def get_ids(oai_base, pattern_to_query=""): url = oai_base + "/resources/search?facets=false&q=" + pattern_to_query From f2f71dc26031952092ce89e592b760961d53596d Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Mon, 19 Aug 2024 08:48:49 +0200 Subject: [PATCH 23/48] Increase logging --- plugins/epos/plugin.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 5bd122e4..99e90c30 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -167,6 +167,10 @@ def get_metadata(self): # headers self.metadata_endpoint_headers = response.headers + logger.debug( + "Storing headers from metadata repository: %s" + % self.metadata_endpoint_headers + ) dicion = response.json() if not dicion: From 00ab2a8867563fbe5c84992ad4386f3e8676b4e8 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Mon, 19 Aug 2024 08:50:46 +0200 Subject: [PATCH 24/48] Return check data in raw format --- plugins/epos/plugin.py | 44 +++++++++++++++++++++++++++--------------- 1 file changed, 28 insertions(+), 16 deletions(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 99e90c30..31111dfe 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -1336,30 +1336,42 @@ def rda_i1_02m(self, **kwargs): "logs": [], }, } + _points = 0 # FAIR-EVA-I1-02M-1: Get serialization media type from HTTP headers content_type = self.metadata_endpoint_headers.get("Content-Type", "") if content_type: - _checks["FAIR-EVA-I1-02M-1"] = { - "success": True, - "logs": ["Found media type '%s' through HTTP headers" % content_type], - } + _checks["FAIR-EVA-I1-02M-1"].update( + { + "success": True, + "logs": [ + "Found media type '%s' through HTTP headers" % content_type + ], + "points": 100, + } + ) else: - _checks["FAIR-EVA-I1-02M-1"] = { - "logs": [ - "Metadata serialization format cannot be obtained through HTTP headers ('Content-Type')" - ] - } + _checks["FAIR-EVA-I1-02M-1"].update( + { + "logs": [ + "Metadata serialization format cannot be obtained through HTTP headers ('Content-Type')" + ] + } + ) # FAIR-EVA-I1-02M-2: Serialization format listed under IANA Media Types if content_type in Vocabulary.get_iana_media_types(): - _checks["FAIR-EVA-I1-02M-2"] = { - "success": True, - "logs": [ - "Metadata serialization format listed under IANA Internet Media Types" - ], - } + _checks["FAIR-EVA-I1-02M-2"].update( + { + "success": True, + "logs": [ + "Metadata serialization format listed under IANA Internet Media Types" + ], + "points": 100, + } + ) + _points = 100 else: _checks["FAIR-EVA-I1-02M-2"] = { "logs": [ @@ -1367,7 +1379,7 @@ def rda_i1_02m(self, **kwargs): ] } - return (points, [{"message": msg, "points": points}]) + return (_points, _checks) @ConfigTerms(term_id="terms_data_model") def rda_i1_02d(self, **kwargs): From 63070250ec8c0b3266701faf7cafc75a10f65a80 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Mon, 19 Aug 2024 08:52:09 +0200 Subject: [PATCH 25/48] Turn VocabularyConnection.collect as classmethod --- api/vocabulary.py | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index 1e35f439..4ba42087 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -29,27 +29,28 @@ def _remote_collect(self): def _local_collect(self): raise NotImplementedError - def collect(self, search_item=None, perform_login=False): + @classmethod + def collect(cls, search_item=None, perform_login=False): content = [] # Get content from remote endpoint error_on_request = False - if self.enable_remote_check: - logging.debug("Accessing vocabulary '%s' remotely" % self.name) + if cls.enable_remote_check: + logging.debug("Accessing vocabulary '%s' remotely" % cls.name) headers = {} if perform_login: logging.debug( - "Login is required for endpoint: %s" % self.remote_endpoint + "Login is required for endpoint: %s" % cls.remote_endpoint ) - headers = self._login() + headers = cls._login() logging.debug( "Requesting vocabulary content through endpoint: %s" - % self.remote_endpoint + % cls.remote_endpoint ) - response = requests.request("POST", self.remote_endpoint, headers=headers) + response = requests.request("POST", cls.remote_endpoint, headers=headers) if response.ok: logging.debug( "Successfully returned content from endpoint: %s" - % self.remote_endpoint + % cls.remote_endpoint ) content = response.json() else: From d636180c13e0f08ed7de30b9fb53253f475dbf1e Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Mon, 19 Aug 2024 08:53:13 +0200 Subject: [PATCH 26/48] Define common set of properties for VocabularyConnection class --- api/vocabulary.py | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index 4ba42087..15c29a2d 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -7,15 +7,14 @@ class VocabularyConnection: - def __init__( - self, - ): - self.vocabulary_name = "" - self.enable_remote_check = False - self.remote_endpoint = "" - self.remote_username = "" - self.remote_password = "" - self.local_cache = "" + def __init__(self, **config_items): + self.vocabulary_name = config_items.get("vocabulary_name", "") + self.enable_remote_check = config_items.get("enable_remote_check", False) + self.remote_endpoint = config_items.get("remote_endpoint", "") + self.remote_username = config_items.get("remote_username", "") + self.remote_password = config_items.get("remote_password", "") + self.local_path = config_items.get("local_path", "") + self.local_path_full = "" def _get_token(self): return NotImplementedError From a04fcd8e788e0e724144f7f651368ffd2a34537d Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Mon, 19 Aug 2024 08:53:43 +0200 Subject: [PATCH 27/48] Fix: missing imports --- api/vocabulary.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/api/vocabulary.py b/api/vocabulary.py index 15c29a2d..ceeb668d 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -1,4 +1,6 @@ +import json import logging +import os import sys from fair import app_dirname, load_config From 8f469f092b7ee9a99b242e33cd48a1d7d497cf23 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Mon, 19 Aug 2024 08:55:25 +0200 Subject: [PATCH 28/48] IANA media types gathering from local cache/file --- api/vocabulary.py | 35 ++++++++++++++++++----------------- 1 file changed, 18 insertions(+), 17 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index ceeb668d..f28b2fec 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -60,17 +60,14 @@ def collect(cls, search_item=None, perform_login=False): ) error_on_request = True # Get content from local cache - if not self.enable_remote_check or error_on_request: + if not cls.enable_remote_check or error_on_request: logging.debug( "Accessing vocabulary '%s' from local cache: %s" - % (self.name, self.local_cache) + % (cls.name, cls.local_path) ) - local_cache_full = os.path.join(app_dirname, self.local_cache) - logging.debug("Full path to local cache: %s" % local_cache_full) - f = open(local_path_full, "r") - content = json.load(f) - logging.debug("Successfully loaded local cache: %s" % content) - f.close() + cls.local_path_full = os.path.join(app_dirname, cls.local_path) + logging.debug("Full path to local cache: %s" % cls.local_path_full) + content = cls._local_collect(cls) return content @@ -82,21 +79,16 @@ class IANAMediaTypes(VocabularyConnection): ) # FIXME: get only the properties from 'iana media types' section def _local_collect(self): - local_path = cls._config.get("vocabularies:iana_media_types", "local_path") - local_path_full = os.path.join(app_dirname, local_path) - logging.debug( - "Using local path file for IANA media types: %s" % local_path_full - ) - property_key_xml = cls._config.get( + property_key_xml = self._config.get( "vocabularies:iana_media_types", "property_key_xml" ) logging.debug( "Using XML property key '%s' to gather the list of media types" - % local_path_full + % property_key_xml ) import xml.etree.ElementTree as ET - tree = ET.parse(local_path_full) + tree = ET.parse(self.local_path_full) root = tree.getroot() media_types_list = [ media_type.text for media_type in root.iter(property_key_xml) @@ -105,6 +97,14 @@ def _local_collect(self): return media_types_list + @classmethod + def collect(cls): + config_items = dict(cls._config.items("vocabularies:iana_media_types")) + super().__init__(cls, **config_items) + content = super().collect(cls) + + return content + class FAIRsharingRegistry(VocabularyConnection): def __init__(self, username, password, metadata_path, format_path): @@ -185,7 +185,8 @@ def serialization(self): class Vocabulary: @staticmethod def get_iana_media_types(): - return IANAMediaTypes.collect() + vocabulary = IANAMediaTypes() + return vocabulary.collect() @staticmethod def get_fair_sharing(): From eeb5848c04a4f9cdacc89f05ccdf84f07e3864e4 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Mon, 19 Aug 2024 14:46:46 +0200 Subject: [PATCH 29/48] Disable by default remote checking for gathering IANA media types --- config.ini.template | 1 + 1 file changed, 1 insertion(+) diff --git a/config.ini.template b/config.ini.template index 32727133..369e5cfc 100644 --- a/config.ini.template +++ b/config.ini.template @@ -20,6 +20,7 @@ example_plugin = Example_Plugin signposting = Signposting [vocabularies:iana_media_types] +enable_remote_check = false property_key_xml = {http://www.iana.org/assignments}file local_path = static/controlled_vocabularies/IANA-media-types/media-types.xml remote_path = https://www.iana.org/assignments/media-types/media-types.xml From f25429ff4f8107fc69cc30d060c823ad2b1c1112 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 12:43:50 +0200 Subject: [PATCH 30/48] Docstring for _remote_collect(), including expected return --- api/vocabulary.py | 1 + 1 file changed, 1 insertion(+) diff --git a/api/vocabulary.py b/api/vocabulary.py index f28b2fec..f665eefb 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -25,6 +25,7 @@ def _login(self): return NotImplementedError def _remote_collect(self): + """Performs the remote call to the vocabulary registry. It shall return a tuple (error_on_request, content), where 'error_on_request' is a boolean and 'content' is the actual content returned by the request when successful.""" raise NotImplementedError def _local_collect(self): From 314215b1db441004d2d023166d7a16b88e731592 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 12:47:05 +0200 Subject: [PATCH 31/48] Use logger --- api/vocabulary.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index f665eefb..60180389 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -5,7 +5,10 @@ from fair import app_dirname, load_config -logging.basicConfig(stream=sys.stdout, level=logging.DEBUG) +logging.basicConfig( + stream=sys.stdout, level=logging.DEBUG, format="'%(name)s:%(lineno)s' | %(message)s" +) +logger = logging.getLogger(os.path.basename(__file__)) class VocabularyConnection: @@ -83,7 +86,7 @@ def _local_collect(self): property_key_xml = self._config.get( "vocabularies:iana_media_types", "property_key_xml" ) - logging.debug( + logger.debug( "Using XML property key '%s' to gather the list of media types" % property_key_xml ) @@ -94,7 +97,7 @@ def _local_collect(self): media_types_list = [ media_type.text for media_type in root.iter(property_key_xml) ] - logging.debug("List of IANA media types: %s" % media_types_list) + logger.debug("List of IANA media types: %s" % media_types_list) return media_types_list From 88855bd8c68b5151cfe43a5b178e677310e7b1fd Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 12:48:04 +0200 Subject: [PATCH 32/48] FAIRsharing vocabulary implementation --- api/vocabulary.py | 128 +++++++++++++++++++++------------------------- 1 file changed, 59 insertions(+), 69 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index 60180389..24c577ba 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -3,6 +3,8 @@ import os import sys +import requests + from fair import app_dirname, load_config logging.basicConfig( @@ -15,7 +17,7 @@ class VocabularyConnection: def __init__(self, **config_items): self.vocabulary_name = config_items.get("vocabulary_name", "") self.enable_remote_check = config_items.get("enable_remote_check", False) - self.remote_endpoint = config_items.get("remote_endpoint", "") + self.remote_path = config_items.get("remote_path", "") self.remote_username = config_items.get("remote_username", "") self.remote_password = config_items.get("remote_password", "") self.local_path = config_items.get("local_path", "") @@ -40,37 +42,16 @@ def collect(cls, search_item=None, perform_login=False): # Get content from remote endpoint error_on_request = False if cls.enable_remote_check: - logging.debug("Accessing vocabulary '%s' remotely" % cls.name) - headers = {} - if perform_login: - logging.debug( - "Login is required for endpoint: %s" % cls.remote_endpoint - ) - headers = cls._login() - logging.debug( - "Requesting vocabulary content through endpoint: %s" - % cls.remote_endpoint - ) - response = requests.request("POST", cls.remote_endpoint, headers=headers) - if response.ok: - logging.debug( - "Successfully returned content from endpoint: %s" - % cls.remote_endpoint - ) - content = response.json() - else: - logging.warning( - "Failed to obtain records from endpoint: %s" % response.text - ) - error_on_request = True + logger.debug("Accessing vocabulary '%s' remotely" % cls.name) + error_on_request, content = cls._remote_collect(cls) # Get content from local cache if not cls.enable_remote_check or error_on_request: - logging.debug( + logger.debug( "Accessing vocabulary '%s' from local cache: %s" % (cls.name, cls.local_path) ) cls.local_path_full = os.path.join(app_dirname, cls.local_path) - logging.debug("Full path to local cache: %s" % cls.local_path_full) + logger.debug("Full path to local cache: %s" % cls.local_path_full) content = cls._local_collect(cls) return content @@ -111,30 +92,8 @@ def collect(cls): class FAIRsharingRegistry(VocabularyConnection): - def __init__(self, username, password, metadata_path, format_path): - self.username = username - self.password = password - self._api_url = ( - "https://api.fairsharing.org/search/fairsharing_records?page[size]=2500&%s" - ) - self.paths = { - "metadata_standards": { - "local": metadata_path, - "remote": self._api_url - % "fairsharing_registry=standard&user_defined_tags=metadata standardization", - }, - "formats": { - "local": format_path, - "remote": self._api_url % "user_defined_tags=Geospatial data", - }, - "serialization": { - "local": "", - "remote": self._api_url % "domains=Resource metadata", - }, - } - self._metadata_standards = {} - self._formats = {} - self._serialization = {} + name = "FAIRsharing registry" + _config = load_config() # FIXME: get only the properties from 'FAIRsharing' section def _login(self): url_api_login = "https://api.fairsharing.org/users/sign_in" @@ -158,32 +117,62 @@ def _login(self): "Authorization": "Bearer {0}".format(token), } else: - logging.warning( + logger.warning( "Could not get token from FAIRsharing API: %s" % response.text ) return headers def _remote_collect(self): - self._login() + error_on_request = False + content = [] + if not (self.remote_username and self.remote_password): + logger.error( + "Could not get required 'username' and 'password' properties for accessing FAIRsharing registry API" + ) + else: + headers = self._login(self) + logger.debug("Got headers from sign in process: %s" % headers) + response = requests.request("POST", self.remote_path, headers=headers) + if response.ok: + content = response.json().get("data", []) + if content: + logger.debug( + "Successfully returned %s items from search query: %s" + % (len(content), self.remote_path) + ) + else: + error_on_request = True + else: + logger.warning( + "Failed to obtain records from endpoint: %s" % response.text + ) + error_on_request = True - @property - def metadata_standards(self): - api_results = self._remote_or_local_query(search_item="metadata_standards") - self._metadata_standards = api_results - return self._metadata_standards + return error_on_request, content - @property - def formats(self): - api_results = self._remote_or_local_query(search_item="formats") - self._formats = api_results - return self._formats + @classmethod + def collect(cls, search_topic): + config_items = dict(cls._config.items("vocabularies:fairsharing")) + remote_path = config_items.get("remote_path", "") + if not remote_path: + logger.warning( + "Could not get FAIRsharing API endpoint from configuration (check 'remote_path' property)" + ) + else: + query_parameter = "q=%s" % search_topic + remote_path_with_query = "?page[size]=2500&".join( + [remote_path, query_parameter] + ) + config_items["remote_path"] = remote_path_with_query + logger.debug( + "Request URL to FAIRsharing API with search topic '%s': %s" + % (search_topic, config_items["remote_path"]) + ) + super().__init__(cls, **config_items) + content = super().collect(cls) - @property - def serialization(self): - api_results = self._remote_or_local_query(search_item="serialization") - self._serialization = api_results - return self._serialization + return content class Vocabulary: @@ -193,5 +182,6 @@ def get_iana_media_types(): return vocabulary.collect() @staticmethod - def get_fair_sharing(): - return FAIRsharingRegistry.collect() + def get_fairsharing(search_topic): + vocabulary = FAIRsharingRegistry() + return vocabulary.collect(search_topic=search_topic) From c34fb8e3c8ac376414499c0be4b818396a88e95a Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 12:48:18 +0200 Subject: [PATCH 33/48] Fix style --- api/vocabulary.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index 24c577ba..973cc1ed 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -97,7 +97,9 @@ class FAIRsharingRegistry(VocabularyConnection): def _login(self): url_api_login = "https://api.fairsharing.org/users/sign_in" - payload = {"user": {"login": self.username, "password": self.password}} + payload = { + "user": {"login": self.remote_username, "password": self.remote_password} + } login_headers = { "Accept": "application/json", "Content-Type": "application/json", From 8a63c7d921121c89dfb3033dd03ce7545000a2b4 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 12:48:40 +0200 Subject: [PATCH 34/48] Config parameters for 'vocabularies:fairsharing' --- config.ini.template | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/config.ini.template b/config.ini.template index 369e5cfc..5293fa6c 100644 --- a/config.ini.template +++ b/config.ini.template @@ -22,8 +22,15 @@ signposting = Signposting [vocabularies:iana_media_types] enable_remote_check = false property_key_xml = {http://www.iana.org/assignments}file -local_path = static/controlled_vocabularies/IANA-media-types/media-types.xml remote_path = https://www.iana.org/assignments/media-types/media-types.xml +local_path = static/controlled_vocabularies/IANA-media-types/media-types.xml + +[vocabularies:fairsharing] +enable_remote_check = true +remote_username = +remote_password = +remote_path = https://api.fairsharing.org/search/fairsharing_records +local_path = [dspace7] base_url = http://localhost:8080/server/ From af7feb9c9ea26118ecb4c4192ff48f42eb20a464 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 12:50:24 +0200 Subject: [PATCH 35/48] Fix: do not track logs through 'evaluator_logs' property --- plugins/epos/plugin.py | 30 ++++++++---------------------- 1 file changed, 8 insertions(+), 22 deletions(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 42b27aa1..7bd72e28 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -1327,13 +1327,11 @@ def rda_i1_02m(self, **kwargs): "title": "Media type gathered from HTTP headers", "critical": True, "success": False, - "logs": [], }, "FAIR-EVA-I1-02M-2": { "title": "Media type listed under IANA Internet Media Types", "critical": True, "success": False, - "logs": [], }, } _points = 0 @@ -1341,12 +1339,11 @@ def rda_i1_02m(self, **kwargs): # FAIR-EVA-I1-02M-1: Get serialization media type from HTTP headers content_type = self.metadata_endpoint_headers.get("Content-Type", "") if content_type: + _msg = "Found media type '%s' through HTTP headers" % content_type + logger.info(_msg) _checks["FAIR-EVA-I1-02M-1"].update( { "success": True, - "logs": [ - "Found media type '%s' through HTTP headers" % content_type - ], "points": 100, } ) @@ -1358,33 +1355,22 @@ def rda_i1_02m(self, **kwargs): ) logger.warning(msg) - else: - _checks["FAIR-EVA-I1-02M-1"].update( - { - "logs": [ - "Metadata serialization format cannot be obtained through HTTP headers ('Content-Type')" - ] - } - ) - # FAIR-EVA-I1-02M-2: Serialization format listed under IANA Media Types if content_type in Vocabulary.get_iana_media_types(): + _msg = ( + "Metadata serialization format listed under IANA Internet Media Types" + ) + logger.info(_msg) _checks["FAIR-EVA-I1-02M-2"].update( { "success": True, - "logs": [ - "Metadata serialization format listed under IANA Internet Media Types" - ], "points": 100, } ) _points = 100 else: - _checks["FAIR-EVA-I1-02M-2"] = { - "logs": [ - "Metadata serialization format is not listed under IANA Internet Media Types" - ] - } + _msg = "Metadata serialization format is not listed under IANA Internet Media Types" + logger.warning(_msg) return (_points, _checks) From 83d8790d7340b46f60f88cce1a4f82368cb61f33 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 12:50:59 +0200 Subject: [PATCH 36/48] Use Vocabulary.get_fairsharing() for retrieving FAIRsharing content --- plugins/epos/plugin.py | 58 +++++++++++++++++++++++++++--------------- 1 file changed, 38 insertions(+), 20 deletions(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 7bd72e28..78279b71 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -106,17 +106,6 @@ def __init__(self, item_id, oai_base=None, lang="en", config=None): self.terms_vocabularies = ast.literal_eval( self.config[self.name]["terms_vocabularies"] ) - # FAIRsharing API - _fairsharing_username = self.config["fairsharing"].get("username", "") - _fairsharing_password = self.config["fairsharing"].get("password", "") - _fairsharing_metadata_path = self.config["fairsharing"].get("metadata_path", "") - _fairsharing_format_path = self.config["fairsharing"].get("format_path", "") - self.fairsharing_api = ut.FAIRsharingAPIUtils( - username=_fairsharing_username, - password=_fairsharing_password, - metadata_path=_fairsharing_metadata_path, - format_path=_fairsharing_format_path, - ) # IANA media types self.internet_media_types_path = ast.literal_eval( self.config["internet media types"]["path"] @@ -1829,9 +1818,15 @@ def rda_r1_3_01m(self, **kwargs): msg = "No metadata standard" points = 0 - for standard in self.fairsharing_api.metadata_standards: + for standard in Vocabulary.get_fairsharing( + search_topic=self.metadata_standard[0] + ): if self.metadata_standard[0] == standard["attributes"]["abbreviation"]: points = 100 + logger.debug( + "Metadata standard '%s' found under FAIRsharing registry" + % self.metadata_standard[0] + ) msg = "Metadata standard in use complies with a community standard according to FAIRsharing.org" return (points, [{"message": msg, "points": points}]) @@ -1850,7 +1845,7 @@ def rda_r1_3_01d(self, **kwargs): points 100/100 if the data standard appears in Fairsharing (0/100 otherwise) """ - msg = "No metadata standard" + msg = "" points = 0 availableFormats = [] fairformats = [] @@ -1876,13 +1871,36 @@ def rda_r1_3_01d(self, **kwargs): for form in element: availableFormats.append(form["label"]) - for fform in self.fairsharing_api.formats: - for aform in availableFormats: - if fform.casefold() == aform.casefold(): - if points == 0: - msg = "Your item follows the comunity standard formats: " - points = 100 - msg += " " + str(aform) + standard_formats_found = [] + for aform in availableFormats: + fs_content = Vocabulary.get_fairsharing(search_topic=aform) + abbreviation_list = [] + if fs_content: + abbreviation_list = [ + item["attributes"]["abbreviation"] for item in fs_content + ] + logger.debug( + "List of abbreviations found for format '%s': %s" + % (aform, abbreviation_list) + ) + if aform.casefold() in abbreviation_list: + logger.debug("Format '%s' found under FAIRsharing registry" % aform) + standard_formats_found.append(aform) + + # Score + if standard_formats_found: + msg = ( + "Data complies with the following community standard/s: %s" + % standard_formats_found + ) + points = 100 + logger.info(msg) + else: + msg = ( + "Data formats found do not comply with community standard/s: %s" + % availableFormats + ) + logger.warning(msg) return (points, [{"message": msg, "points": points}]) From a51e7e0bf3f1c011b64b913e7867a4001669f80c Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 12:54:01 +0200 Subject: [PATCH 37/48] Add static content of FAIRsharing registry --- config.ini.template | 2 +- .../controlled_vocabularies/fairsharing.json | 29 +++++++++++++++++++ 2 files changed, 30 insertions(+), 1 deletion(-) create mode 100644 static/controlled_vocabularies/fairsharing.json diff --git a/config.ini.template b/config.ini.template index 5293fa6c..14571217 100644 --- a/config.ini.template +++ b/config.ini.template @@ -30,7 +30,7 @@ enable_remote_check = true remote_username = remote_password = remote_path = https://api.fairsharing.org/search/fairsharing_records -local_path = +local_path = static/controlled_vocabularies/fairsharing.json [dspace7] base_url = http://localhost:8080/server/ diff --git a/static/controlled_vocabularies/fairsharing.json b/static/controlled_vocabularies/fairsharing.json new file mode 100644 index 00000000..6b5a3a24 --- /dev/null +++ b/static/controlled_vocabularies/fairsharing.json @@ -0,0 +1,29 @@ +HTTP/2 200 +content-type: application/json; charset=utf-8 +status: 200 OK +cache-control: max-age=0, private, must-revalidate +vary: Accept +referrer-policy: strict-origin-when-cross-origin +x-permitted-cross-domain-policies: none +x-xss-protection: 0 +maintenance: false +x-request-id: 99ed4122-ccc8-444a-b297-3778c78699b7 +link: ; rel="last", ; rel="next" +x-per-page: 2500 +x-download-options: noopen +etag: W/"80e79b8e95df398719f45481d261ff22" +x-frame-options: SAMEORIGIN +x-runtime: 181.468574 +x-content-type-options: nosniff +x-page: 1 +x-total: 4345 +read-only: false +date: Tue, 20 Aug 2024 07:35:13 GMT +x-powered-by: Phusion Passenger(R) 6.0.15 +server: nginx + Phusion Passenger(R) 6.0.15 +access-control-allow-origin: * +access-control-allow-methods: GET, POST, PUT, DELETE, OPTIONS, HEAD +access-control-allow-headers: DNT,User-Agent,X-Requested-With,If-Modified-Since,Cache-Control,Content-Type,Range,X-Client-Id,Authorization,Access-Control-Allow-Origin,X-DSW +access-control-expose-headers: Content-Length,Content-Range,Maintenance,Read-Only + +{"data":[{"id":"187","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:37.654Z","metadata":{"doi":"10.25504/FAIRsharing.36pf8q","name":"RxNORM","status":"ready","contacts":[{"contact_email":"rxnorminfo@nlm.nih.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/rxnorm/","citations":[],"identifier":187,"description":"RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, MediSpan, Gold Standard Drug Database, and Multum. By providing links between these vocabularies, RxNorm can mediate messages between systems not using the same software and vocabulary. RxNorm now includes the National Drug File - Reference Terminology (NDF-RT) from the Veterans Health Administration. NDF-RT is a terminology used to code clinical drug properties, including mechanism of action, physiologic effect, and therapeutic category.","abbreviation":"RxNORM","support_links":[{"url":"custserv@nlm.nih.gov","name":"NLM Customer Service","type":"Support email"},{"url":"https://www.nlm.nih.gov/research/umls/rxnorm/overview.html","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/research/umls/rxnorm/docs/index.html","type":"Help documentation"}],"year_creation":2001,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RXNORM","name":"RXNORM","portal":"BioPortal"}]},"legacy_ids":["bsg-002648","bsg-s002648"],"name":"FAIRsharing record for: RxNORM","abbreviation":"RxNORM","url":"https://fairsharing.org/10.25504/FAIRsharing.36pf8q","doi":"10.25504/FAIRsharing.36pf8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, MediSpan, Gold Standard Drug Database, and Multum. By providing links between these vocabularies, RxNorm can mediate messages between systems not using the same software and vocabulary. RxNorm now includes the National Drug File - Reference Terminology (NDF-RT) from the Veterans Health Administration. NDF-RT is a terminology used to code clinical drug properties, including mechanism of action, physiologic effect, and therapeutic category.","linked_records":[],"linking_records":[{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17686},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11048},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12463},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13175},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14549},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16974}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Drug name","Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1254,"pubmed_id":18998891,"title":"RxTerms - a drug interface terminology derived from RxNorm.","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/18998891","authors":"Fung KW,McDonald C,Bray BE","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:24:39.867Z","updated_at":"2021-09-30T08:24:39.867Z"},{"id":1255,"pubmed_id":21515544,"title":"Normalized names for clinical drugs: RxNorm at 6 years.","year":2011,"url":"http://doi.org/10.1136/amiajnl-2011-000116","authors":"Nelson SJ,Zeng K,Kilbourne J,Powell T,Moore R","journal":"J Am Med Inform Assoc","doi":"10.1136/amiajnl-2011-000116","created_at":"2021-09-30T08:24:39.975Z","updated_at":"2021-09-30T08:24:39.975Z"},{"id":1256,"pubmed_id":null,"title":"RxNorm: prescription for electronic drug information exchange","year":2005,"url":"http://doi.org/10.1109/MITP.2005.122","authors":"S. Liu ; Wei Ma ; R. Moore ; V. Ganesan ; S. Nelson","journal":"IEEE Xplore Digital Library","doi":"10.1109/MITP.2005.122","created_at":"2021-09-30T08:24:40.091Z","updated_at":"2021-09-30T08:24:40.091Z"}],"licence_links":[{"licence_name":"RxNORM Terms of service","licence_id":721,"licence_url":"https://www.nlm.nih.gov/research/umls/rxnorm/docs/termsofservice.html","link_id":1184,"relation":"undefined"}],"grants":[{"id":5240,"fairsharing_record_id":187,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:19.978Z","updated_at":"2021-09-30T09:27:19.978Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"188","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T11:15:09.000Z","updated_at":"2022-07-20T09:19:21.967Z","metadata":{"doi":"10.25504/FAIRsharing.kfqVQ7","name":"BcForms Grammar","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"https://www.bcforms.org/#grammar","citations":[{"publication_id":2611}],"identifier":188,"description":"The BcForms represents complexes as a sets of subunits, including their stoichiometries, and a set of interchain/intersubunit crosslinks. Furthermore, BcForms can be combined with BpForms and SMILES descriptions of subunits to calculate properties of complexes. BcForms descriptions of complexes consist of two parts: subunit composition of the complex, and interchain crosslinks. The BcForms grammar is defined in Lark syntax, which is based on EBNF syntax.","abbreviation":"BcForms Grammar","support_links":[{"url":"info@karrlab.org","type":"Support email"},{"url":"https://github.com/karrlab/bcforms/pulls","name":"Git pull request","type":"Github"},{"url":"https://github.com/KarrLab/bcforms","name":"Source code","type":"Github"},{"url":"https://www.bcforms.org/","name":"BcForms Project","type":"Help documentation"},{"url":"http://sandbox.karrlab.org/tree/bcforms","name":"Tutorial for the Python API","type":"Help documentation"},{"url":"https://www.bcforms.org/api/","name":"Query builder for the REST API","type":"Help documentation"}],"year_creation":2019,"associated_tools":[{"url":"https://docs.karrlab.org/bcforms/master/0.0.9/installation.html","name":"Python library"}]},"legacy_ids":["bsg-001397","bsg-s001397"],"name":"FAIRsharing record for: BcForms Grammar","abbreviation":"BcForms Grammar","url":"https://fairsharing.org/10.25504/FAIRsharing.kfqVQ7","doi":"10.25504/FAIRsharing.kfqVQ7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BcForms represents complexes as a sets of subunits, including their stoichiometries, and a set of interchain/intersubunit crosslinks. Furthermore, BcForms can be combined with BpForms and SMILES descriptions of subunits to calculate properties of complexes. BcForms descriptions of complexes consist of two parts: subunit composition of the complex, and interchain crosslinks. The BcForms grammar is defined in Lark syntax, which is based on EBNF syntax.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Bioinformatics","Genetics","Life Science"],"domains":["Protein-containing complex","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2611,"pubmed_id":null,"title":"BpForms and BcForms: Tools for concretely describing non-canonical polymers and complexes to facilitate comprehensive biochemical networks","year":2019,"url":"https://arxiv.org/abs/1903.10042","authors":"Paul F. Lang, Yassmine Chebaro, Xiaoyue Zheng, John A. P. Sekar, Bilal Shaikh, Darren A. Natale, Jonathan R. Karr","journal":"arXiv","doi":null,"created_at":"2021-09-30T08:27:20.521Z","updated_at":"2021-09-30T08:27:20.521Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":71,"relation":"undefined"}],"grants":[{"id":5241,"fairsharing_record_id":188,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:27:20.016Z","updated_at":"2021-09-30T09:27:20.016Z","grant_id":null,"is_lead":true,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5242,"fairsharing_record_id":188,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:20.053Z","updated_at":"2021-09-30T09:31:49.190Z","grant_id":1341,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"INSPIRE","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5243,"fairsharing_record_id":188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:20.094Z","updated_at":"2021-09-30T09:32:28.994Z","grant_id":1639,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41 award","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8488,"fairsharing_record_id":188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:52.070Z","updated_at":"2021-09-30T09:32:52.161Z","grant_id":1812,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"MIRA R35 award","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"189","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:46.000Z","updated_at":"2022-07-20T11:05:15.750Z","metadata":{"doi":"10.25504/FAIRsharing.VRo9Dl","name":"FAIR Maturity Indicator Gen2-MI-F1B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F1B.md","identifier":189,"description":"The FAIR Maturity Indicator Gen2-MI-F1B measures whether the GUID matches (regexp) a GUID scheme recognized as being persistent. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must try to use GUID types that are guaranteed, by stable third-parties, to be persistent. This includes stable providers of PURLs.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001373","bsg-s001373"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F1B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.VRo9Dl","doi":"10.25504/FAIRsharing.VRo9Dl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F1B measures whether the GUID matches (regexp) a GUID scheme recognized as being persistent. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must try to use GUID types that are guaranteed, by stable third-parties, to be persistent. This includes stable providers of PURLs.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13171},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13211},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13230},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13260},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13275},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20165}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1484,"relation":"undefined"}],"grants":[{"id":5244,"fairsharing_record_id":189,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:20.133Z","updated_at":"2021-09-30T09:27:20.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5247,"fairsharing_record_id":189,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:20.223Z","updated_at":"2021-09-30T09:27:20.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5245,"fairsharing_record_id":189,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:20.167Z","updated_at":"2021-09-30T09:27:20.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5246,"fairsharing_record_id":189,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:20.198Z","updated_at":"2021-09-30T09:27:20.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"190","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-23T09:04:45.235Z","metadata":{"doi":"10.25504/FAIRsharing.frp1rm","name":"Cancer Research and Management ACGT Master Ontology","status":"ready","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"mbrochhausen@gmail.com","contact_orcid":"0000-0003-1834-3856"},{"contact_name":"Cristian Cocos","contact_email":"cristi@ieee.org","contact_orcid":null}],"homepage":"https://www.uni-saarland.de/institut/ifomis/activities/acgt-master-ontology.html","citations":[{"doi":"10.1016/j.jbi.2010.04.008","pubmed_id":20438862,"publication_id":2428}],"identifier":190,"description":"The ACGT Master Ontology, which has been developed within the FP6-IST project \"Advancing Clinico-Genomic Trials\", has the aim to represent the domain of cancer research and management in a computationally tractable manner. The ACGT MO is built being maintained, using the Protégé-OWL free open-source ontology editor, Version 4. It is written in OWL-DL and presented as an .owl file. The ACGT MO is re-using Basic Formal Ontology (BFO) as upper level and the OBO Relation Ontology. Although this resource is available at the stated homepage, it has not been updated in a number of years, and we could not get in touch with the contacts provided.","abbreviation":"ACGT-MO","support_links":[{"url":"https://github.com/IFOMIS/ACGT","type":"Github"},{"url":"https://old.datahub.io/dataset/bioportal-acgt","name":"Datahub","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-002609","bsg-s002609"],"name":"FAIRsharing record for: Cancer Research and Management ACGT Master Ontology","abbreviation":"ACGT-MO","url":"https://fairsharing.org/10.25504/FAIRsharing.frp1rm","doi":"10.25504/FAIRsharing.frp1rm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ACGT Master Ontology, which has been developed within the FP6-IST project \"Advancing Clinico-Genomic Trials\", has the aim to represent the domain of cancer research and management in a computationally tractable manner. The ACGT MO is built being maintained, using the Protégé-OWL free open-source ontology editor, Version 4. It is written in OWL-DL and presented as an .owl file. The ACGT MO is re-using Basic Formal Ontology (BFO) as upper level and the OBO Relation Ontology. Although this resource is available at the stated homepage, it has not been updated in a number of years, and we could not get in touch with the contacts provided.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18143}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Life Science","Biomedical Science"],"domains":["Cancer","Tumor","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Germany","Greece","Spain","United States"],"publications":[{"id":2428,"pubmed_id":20438862,"title":"The ACGT Master Ontology and its applications--towards an ontology-driven cancer research and management system.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.04.008","authors":"Brochhausen M,Spear AD,Cocos C,Weiler G,Martin L,Anguita A,Stenzhorn H,Daskalaki E,Schera F,Schwarz U,Sfakianakis S,Kiefer S,Dorr M,Graf N,Tsiknakis M","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.04.008","created_at":"2021-09-30T08:26:57.953Z","updated_at":"2021-09-30T08:26:57.953Z"}],"licence_links":[],"grants":[{"id":5248,"fairsharing_record_id":190,"organisation_id":20,"relation":"maintains","created_at":"2021-09-30T09:27:20.252Z","updated_at":"2023-12-06T13:36:09.747Z","grant_id":null,"is_lead":true,"saved_state":{"id":20,"name":"ACGT Master Ontology (MO) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"191","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.875Z","metadata":{"doi":"10.25504/FAIRsharing.jrxhh7","name":"Cereal Plant Development","status":"deprecated","contacts":[{"contact_name":"Doreen Ware","contact_email":"ware@cshl.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1047","identifier":191,"description":"A structured controlled vocabulary for describing cereal plant development and growth stages. Please note that this ontology has now been superseded by the Plant Ontology.","abbreviation":"GRO_CPD","support_links":[{"url":"http://tools.gramene.org/feedback?refer_from=/plant_ontology/index.html","type":"Contact form"}],"year_creation":2007,"deprecation_date":"2017-02-23","deprecation_reason":"This ontology has been superseded by the Plant Ontology."},"legacy_ids":["bsg-002588","bsg-s002588"],"name":"FAIRsharing record for: Cereal Plant Development","abbreviation":"GRO_CPD","url":"https://fairsharing.org/10.25504/FAIRsharing.jrxhh7","doi":"10.25504/FAIRsharing.jrxhh7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for describing cereal plant development and growth stages. Please note that this ontology has now been superseded by the Plant Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Agriculture"],"domains":[],"taxonomies":["Poaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5249,"fairsharing_record_id":191,"organisation_id":2332,"relation":"maintains","created_at":"2021-09-30T09:27:20.295Z","updated_at":"2021-09-30T09:27:20.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":2332,"name":"Plant Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"192","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-06T13:53:10.828Z","metadata":{"doi":"10.25504/FAIRsharing.6brn4p","name":"ImMunoGeneTics Ontology","status":"ready","contacts":[{"contact_name":"Véronique Giudicelli","contact_email":"Veronique.Giudicelli@igh.cnrs.fr","contact_orcid":"0000-0002-2258-468X"}],"homepage":"https://www.imgt.org/download/IMGT-ONTOLOGY/","citations":[],"identifier":192,"description":"IMGT-ONTOLOGY provides a specific vocabulary of the terminology to be used in immunogenetics and immunoinformatics. The ontology allows for the standardization for immunogenetics data from genome, proteome, genetics, two-dimensional and three-dimensional structures.","abbreviation":"IMGT Ontology","support_links":[],"year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IMGT-ONTOLOGY","name":"IMGT-ONTOLOGY","portal":"BioPortal"}]},"legacy_ids":["bsg-002665","bsg-s002665"],"name":"FAIRsharing record for: ImMunoGeneTics Ontology","abbreviation":"IMGT Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.6brn4p","doi":"10.25504/FAIRsharing.6brn4p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IMGT-ONTOLOGY provides a specific vocabulary of the terminology to be used in immunogenetics and immunoinformatics. The ontology allows for the standardization for immunogenetics data from genome, proteome, genetics, two-dimensional and three-dimensional structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Informatics","Immunogenetics","Genetics","Immunology","Biomedical Science"],"domains":["Molecular structure","Proteome","Cellular component","Biological process","Immunoglobulin complex","Antibody","Structure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2972,"pubmed_id":22654892,"title":"IMGT-ONTOLOGY 2012.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00079","authors":"Giudicelli V,Lefranc MP","journal":"Front Genet","doi":"10.3389/fgene.2012.00079","created_at":"2021-09-30T08:28:06.250Z","updated_at":"2021-09-30T08:28:06.250Z"},{"id":3038,"pubmed_id":10745995,"title":"Ontology for immunogenetics: the IMGT-ONTOLOGY.","year":2000,"url":"http://doi.org/10.1093/bioinformatics/15.12.1047","authors":"Giudicelli V,Lefranc MP","journal":"Bioinformatics","doi":"10.1093/bioinformatics/15.12.1047","created_at":"2021-09-30T08:28:14.416Z","updated_at":"2021-09-30T08:28:14.416Z"},{"id":3039,"pubmed_id":24600447,"title":"Immunoglobulin and T Cell Receptor Genes: IMGT((R)) and the Birth and Rise of Immunoinformatics.","year":2014,"url":"http://doi.org/10.3389/fimmu.2014.00022","authors":"Lefranc MP","journal":"Front Immunol","doi":"10.3389/fimmu.2014.00022","created_at":"2021-09-30T08:28:14.575Z","updated_at":"2021-09-30T08:28:14.575Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":2188,"relation":"undefined"},{"licence_name":"IMGT Terms of Use","licence_id":431,"licence_url":"http://imgt.org/about/termsofuse.php","link_id":2189,"relation":"undefined"}],"grants":[{"id":5250,"fairsharing_record_id":192,"organisation_id":3101,"relation":"funds","created_at":"2021-09-30T09:27:20.336Z","updated_at":"2021-09-30T09:27:20.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":5251,"fairsharing_record_id":192,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:20.375Z","updated_at":"2021-09-30T09:27:20.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5253,"fairsharing_record_id":192,"organisation_id":1495,"relation":"maintains","created_at":"2021-09-30T09:27:20.445Z","updated_at":"2023-09-06T13:51:10.071Z","grant_id":null,"is_lead":true,"saved_state":{"id":1495,"name":"International ImMunoGeneTics information system (IMGT), Montpellier, France","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5252,"fairsharing_record_id":192,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:27:20.407Z","updated_at":"2021-09-30T09:27:20.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdU1DIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8a182a30111a331dc7f589ae66886d77014f3d3b/logo2_IMGT.png?disposition=inline","exhaustive_licences":true}},{"id":"193","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:15.927Z","metadata":{"doi":"10.25504/FAIRsharing.jkj6ah","name":"Tissue Microarray Ontology","status":"uncertain","contacts":[{"contact_name":"Chuck Borromeo","contact_email":"borromeocd@upmc.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1494","identifier":193,"description":"Tissue microarrays (TMA) are enormously useful tools for translational research, but incompatibilities in database systems between various researchers and institutions prevent the efficient sharing of data that could help realize their full potential.","abbreviation":"TMA","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TMA","name":"TMA","portal":"BioPortal"}]},"legacy_ids":["bsg-002666","bsg-s002666"],"name":"FAIRsharing record for: Tissue Microarray Ontology","abbreviation":"TMA","url":"https://fairsharing.org/10.25504/FAIRsharing.jkj6ah","doi":"10.25504/FAIRsharing.jkj6ah","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Tissue microarrays (TMA) are enormously useful tools for translational research, but incompatibilities in database systems between various researchers and institutions prevent the efficient sharing of data that could help realize their full potential.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12459}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Expression data","Cellular localization","Microarray experiment","Histology","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1753,"pubmed_id":18460177,"title":"Ontology-based, Tissue MicroArray oriented, image centered tissue bank.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-S4-S4","authors":"Viti F,Merelli I,Caprera A,Lazzari B,Stella A,Milanesi L","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-S4-S4","created_at":"2021-09-30T08:25:36.755Z","updated_at":"2021-09-30T08:25:36.755Z"},{"id":2545,"pubmed_id":17476071,"title":"Tissue MicroArray: a distributed Grid approach for image analysis.","year":2007,"url":"https://www.ncbi.nlm.nih.gov/pubmed/17476071","authors":"Viti F,Merelli I,Galizia A,D'Agostino D,Clematis A,Milanesi L","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:27:12.079Z","updated_at":"2021-09-30T08:27:12.079Z"}],"licence_links":[],"grants":[{"id":5254,"fairsharing_record_id":193,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:20.486Z","updated_at":"2021-09-30T09:27:20.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"194","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:50.665Z","metadata":{"doi":"10.25504/FAIRsharing.msgwvy","name":"Portfolio Management Application","status":"uncertain","contacts":[{"contact_name":"Jim Martin","contact_email":"martinji@mail.nih.gov","contact_orcid":"0000-0002-3891-0347"}],"homepage":"http://bioportal.bioontology.org/ontologies/1497","identifier":194,"description":"The Portfolio Management Application (PMA) is a system for tracking grants and producing reports - Users can access grant data through a query interface and a variety of pre-defined forms and reports","abbreviation":"PMA","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PMA","name":"PMA","portal":"BioPortal"}]},"legacy_ids":["bsg-002667","bsg-s002667"],"name":"FAIRsharing record for: Portfolio Management Application","abbreviation":"PMA","url":"https://fairsharing.org/10.25504/FAIRsharing.msgwvy","doi":"10.25504/FAIRsharing.msgwvy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Portfolio Management Application (PMA) is a system for tracking grants and producing reports - Users can access grant data through a query interface and a variety of pre-defined forms and reports","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12454}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5255,"fairsharing_record_id":194,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:20.525Z","updated_at":"2021-09-30T09:27:20.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"195","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T12:41:40.554Z","metadata":{"doi":"10.25504/FAIRsharing.8pbhs0","name":"Multiple sclerosis ontology","status":"ready","contacts":[{"contact_name":"Ashutosh Malhotra","contact_email":"ashutosh.malhotra@scai.fraunhofer.de"}],"homepage":"http://www.scai.fraunhofer.de/de/geschaeftsfelder/bioinformatik/downloads.html","citations":[],"identifier":195,"description":"An ontology for Multiple Sclerosis. Information for this ontology was drawn from PubMed abstracts and electronic health records.","abbreviation":"MSO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSO","name":"MSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000981","bsg-s000981"],"name":"FAIRsharing record for: Multiple sclerosis ontology","abbreviation":"MSO","url":"https://fairsharing.org/10.25504/FAIRsharing.8pbhs0","doi":"10.25504/FAIRsharing.8pbhs0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for Multiple Sclerosis. Information for this ontology was drawn from PubMed abstracts and electronic health records.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Multiple Sclerosis"],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"196","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.007Z","metadata":{"doi":"10.25504/FAIRsharing.x6sgd3","name":"Body System","status":"ready","contacts":[{"contact_name":"Samson Tu","contact_email":"swt@stanford.edu","contact_orcid":"0000-0002-0295-7821"}],"homepage":"http://bioportal.bioontology.org/ontologies/1487","identifier":196,"description":"This is a set of body-system terms used in the ICD 11 revision","abbreviation":"Body System"},"legacy_ids":["bsg-002662","bsg-s002662"],"name":"FAIRsharing record for: Body System","abbreviation":"Body System","url":"https://fairsharing.org/10.25504/FAIRsharing.x6sgd3","doi":"10.25504/FAIRsharing.x6sgd3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a set of body-system terms used in the ICD 11 revision","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5256,"fairsharing_record_id":196,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:20.558Z","updated_at":"2021-09-30T09:27:20.558Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"197","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:33:46.858Z","metadata":{"doi":"10.25504/FAIRsharing.rxazmf","name":"Neomark Oral Cancer-Centred Ontology","status":"uncertain","contacts":[{"contact_name":"Marta Ortega","contact_email":"mortega@lst.tfo.upm.es"}],"homepage":"http://purl.bioontology.org/ontology/NEOMARK3","identifier":197,"description":"An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","abbreviation":"NEOMARK3","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NEOMARK3","name":"NEOMARK3","portal":"BioPortal"}]},"legacy_ids":["bsg-002668","bsg-s002668"],"name":"FAIRsharing record for: Neomark Oral Cancer-Centred Ontology","abbreviation":"NEOMARK3","url":"https://fairsharing.org/10.25504/FAIRsharing.rxazmf","doi":"10.25504/FAIRsharing.rxazmf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Medicine","Biomedical Science"],"domains":["Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[],"grants":[{"id":11502,"fairsharing_record_id":197,"organisation_id":2115,"relation":"maintains","created_at":"2024-03-21T10:28:35.565Z","updated_at":"2024-03-21T10:28:35.565Z","grant_id":null,"is_lead":true,"saved_state":{"id":2115,"name":"NeoMark Ltd. Trademark Agency, Montreal, Canada","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"264","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T09:18:38.000Z","updated_at":"2021-11-24T13:17:11.459Z","metadata":{"doi":"10.25504/FAIRsharing.em3cg0","name":"Data required for the assignation of Digital Object Identifiers in the Global Information System","status":"ready","contacts":[{"contact_name":"Marco Marsella","contact_email":"pgrfa-treaty@fao.org","contact_orcid":"0000-0003-0334-8785"}],"homepage":"http://www.fao.org/plant-treaty/areas-of-work/global-information-system/descriptors/en/","identifier":264,"description":"The GLIS Descriptors are based on the FAO/IPGRI Multi Crop Passport Descriptors. They are the metadata information associated to a Digital Object Identifier (DOI) in the GLIS system; they divided into 3 classes: mandatory, highly recommended and additional.","abbreviation":"GLIS Descriptors","support_links":[{"url":"porta-treaty@fao.org","name":"ITPGRFA email address","type":"Support email"},{"url":"http://www.fao.org/plant-treaty/areas-of-work/global-information-system/faq/en/","name":"FAQs on GLIS and its descriptors","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.fao.org/3/a-bt113e.pdf","name":"Guideline Document (pdf)","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001161","bsg-s001161"],"name":"FAIRsharing record for: Data required for the assignation of Digital Object Identifiers in the Global Information System","abbreviation":"GLIS Descriptors","url":"https://fairsharing.org/10.25504/FAIRsharing.em3cg0","doi":"10.25504/FAIRsharing.em3cg0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GLIS Descriptors are based on the FAO/IPGRI Multi Crop Passport Descriptors. They are the metadata information associated to a Digital Object Identifier (DOI) in the GLIS system; they divided into 3 classes: mandatory, highly recommended and additional.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany","Agriculture","Biology","Plant Genetics"],"domains":["Agricultural products"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"FAO Open Access Policy","licence_id":312,"licence_url":"http://www.fao.org/3/I9461EN/I9461en.pdf","link_id":364,"relation":"undefined"}],"grants":[{"id":5400,"fairsharing_record_id":264,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:27:26.035Z","updated_at":"2021-09-30T09:27:26.035Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"265","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-01-06T09:09:04.790Z","metadata":{"doi":"10.25504/FAIRsharing.ttprgy","name":"Epilepsy and Seizure Ontology","status":"ready","contacts":[{"contact_name":"Satya Sahoo","contact_email":"satyasahoo@ieee.org"}],"homepage":"https://bioportal.bioontology.org/ontologies/EPSO","citations":[],"identifier":265,"description":"The Epilepsy and Seizure Ontology (EpSO) is an application ontology developed to support epilepsy focused informatics tools for patient care and clinical research. ","abbreviation":"EPSO","support_links":[],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EPSO","name":"EPSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000963","bsg-s000963"],"name":"FAIRsharing record for: Epilepsy and Seizure Ontology","abbreviation":"EPSO","url":"https://fairsharing.org/10.25504/FAIRsharing.ttprgy","doi":"10.25504/FAIRsharing.ttprgy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epilepsy and Seizure Ontology (EpSO) is an application ontology developed to support epilepsy focused informatics tools for patient care and clinical research. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurology"],"domains":["Epilepsy","Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3174,"pubmed_id":null,"title":"Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care","year":2013,"url":"http://dx.doi.org/10.1136/amiajnl-2013-001696","authors":"Sahoo, Satya S; Lhatoo, Samden D; Gupta, Deepak K; Cui, Licong; Zhao, Meng; Jayapandian, Catherine; Bozorgi, Alireza; Zhang, Guo-Qiang; ","journal":"J Am Med Inform Assoc","doi":"10.1136/amiajnl-2013-001696","created_at":"2022-01-05T20:26:50.535Z","updated_at":"2022-01-05T20:26:50.535Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2551,"relation":"applies_to_content"}],"grants":[{"id":8671,"fairsharing_record_id":265,"organisation_id":379,"relation":"maintains","created_at":"2022-01-05T20:27:09.477Z","updated_at":"2022-01-05T20:27:11.349Z","grant_id":null,"is_lead":true,"saved_state":{"id":379,"name":"Case Western Reserve University, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"267","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:04:42.000Z","updated_at":"2022-12-14T08:23:18.679Z","metadata":{"doi":"10.25504/FAIRsharing.c6JaLH","name":"IVOA Credential Delegation Protocol","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/CredentialDelegation/","citations":[{"publication_id":2952}],"identifier":267,"description":"The credential delegation protocol allows a client program to delegate a user's credentials to a service such that that service may make requests of other services in the name of that user. The protocol defines a REST service that works alongside other IVO services to enable such a delegation in a secure manner. In addition to defining the specifics of the service protocol, this document describes how a delegation service is registered in an IVOA registry along with the services it supports. The specification also explains how one can determine from a service registration that it requires the use of a supporting delegation service.","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/Documents/CredentialDelegation/20100218/REC-CredentialDelegation-1.0.html","name":"View Standard","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-001192","bsg-s001192"],"name":"FAIRsharing record for: IVOA Credential Delegation Protocol","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.c6JaLH","doi":"10.25504/FAIRsharing.c6JaLH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The credential delegation protocol allows a client program to delegate a user's credentials to a service such that that service may make requests of other services in the name of that user. The protocol defines a REST service that works alongside other IVO services to enable such a delegation in a secure manner. In addition to defining the specifics of the service protocol, this document describes how a delegation service is registered in an IVOA registry along with the services it supports. The specification also explains how one can determine from a service registration that it requires the use of a supporting delegation service.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11480}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2952,"pubmed_id":null,"title":"IVOA Credential Delegation Protocol Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.0218P","authors":"Plante, Raymond; Graham, Matthew; Rixon, Guy; Taffoni, Giuliano","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.816Z","updated_at":"2021-09-30T08:28:03.816Z"}],"licence_links":[],"grants":[{"id":5402,"fairsharing_record_id":267,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:27:26.087Z","updated_at":"2021-09-30T09:27:26.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5401,"fairsharing_record_id":267,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:26.064Z","updated_at":"2021-09-30T09:27:26.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"268","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:18.005Z","metadata":{"doi":"10.25504/FAIRsharing.7hxvhz","name":"Drug Interaction Knowledge Base Evidence Ontology","status":"deprecated","contacts":[{"contact_name":"Richard D Boyce","contact_email":"rdb20@pitt.edu"}],"homepage":"https://dikb.org/","identifier":268,"description":"An evidence taxonomy for pharmacologic studies that, when combined with a set of inclusion criteria, enable drug experts to specify what their confidence in a drug mechanism assertion would be if it were supported by a specific set of evidence.","abbreviation":"DIKB-Evidence","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DIKB","name":"DIKB","portal":"BioPortal"}],"deprecation_date":"2019-09-09","deprecation_reason":"This resource is deprecated and no longer maintained."},"legacy_ids":["bsg-002758","bsg-s002758"],"name":"FAIRsharing record for: Drug Interaction Knowledge Base Evidence Ontology","abbreviation":"DIKB-Evidence","url":"https://fairsharing.org/10.25504/FAIRsharing.7hxvhz","doi":"10.25504/FAIRsharing.7hxvhz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An evidence taxonomy for pharmacologic studies that, when combined with a set of inclusion criteria, enable drug experts to specify what their confidence in a drug mechanism assertion would be if it were supported by a specific set of evidence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Evidence","Drug interaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":908,"pubmed_id":19435613,"title":"Computing with evidence Part I: A drug-mechanism evidence taxonomy oriented toward confidence assignment.","year":2009,"url":"http://doi.org/10.1016/j.jbi.2009.05.001","authors":"Boyce R,Collins C,Horn J,Kalet I","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2009.05.001","created_at":"2021-09-30T08:24:00.294Z","updated_at":"2021-09-30T08:24:00.294Z"},{"id":1790,"pubmed_id":25917055,"title":"Toward a complete dataset of drug-drug interaction information from publicly available sources.","year":2015,"url":"http://doi.org/10.1016/j.jbi.2015.04.006","authors":"Ayvaz S,Horn J,Hassanzadeh O,Zhu Q,Stan J,Tatonetti NP,Vilar S,Brochhausen M,Samwald M,Rastegar-Mojarad M,Dumontier M,Boyce RD","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2015.04.006","created_at":"2021-09-30T08:25:40.905Z","updated_at":"2021-09-30T08:25:40.905Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":492,"relation":"undefined"}],"grants":[{"id":5403,"fairsharing_record_id":268,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:27:26.118Z","updated_at":"2021-09-30T09:27:26.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5405,"fairsharing_record_id":268,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:26.202Z","updated_at":"2021-09-30T09:27:26.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5404,"fairsharing_record_id":268,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:26.156Z","updated_at":"2021-09-30T09:32:02.693Z","grant_id":1443,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1R01LM011838-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"269","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:18.066Z","metadata":{"doi":"10.25504/FAIRsharing.rab28f","name":"Skin Physiology Ontology","status":"uncertain","contacts":[{"contact_name":"Tariq Abdulla","contact_email":"tariq.abdulla@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1122","identifier":269,"description":"The Skin Physiology Ontology is an ontology with 339 terms. We have struggled to find any further information about this ontology. If you know more, please do contact the FAIRsharing team.","abbreviation":"SPO","year_creation":2008},"legacy_ids":["bsg-002616","bsg-s002616"],"name":"FAIRsharing record for: Skin Physiology Ontology","abbreviation":"SPO","url":"https://fairsharing.org/10.25504/FAIRsharing.rab28f","doi":"10.25504/FAIRsharing.rab28f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Skin Physiology Ontology is an ontology with 339 terms. We have struggled to find any further information about this ontology. If you know more, please do contact the FAIRsharing team.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Dermatology","Life Science","Physiology","Biomedical Science"],"domains":["Biological process"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5406,"fairsharing_record_id":269,"organisation_id":1729,"relation":"maintains","created_at":"2021-09-30T09:27:26.245Z","updated_at":"2021-09-30T09:27:26.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":1729,"name":"Loughborough University, Loughborough, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"270","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:41.000Z","updated_at":"2022-07-20T12:47:44.896Z","metadata":{"doi":"10.25504/FAIRsharing.l8fVBn","name":"FAIR Maturity Indicator Gen2-MI-I1B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I1B.md","identifier":270,"description":"The FAIR Maturity Indicator Gen2-MI-I1B measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a strict interpretation, accepting only formats that are ontologically-grounded and machine-resolvable.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001379","bsg-s001379"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I1B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.l8fVBn","doi":"10.25504/FAIRsharing.l8fVBn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I1B measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a strict interpretation, accepting only formats that are ontologically-grounded and machine-resolvable.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13191},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13221},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13251},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13266},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20175}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1490,"relation":"undefined"}],"grants":[{"id":5410,"fairsharing_record_id":270,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:26.365Z","updated_at":"2021-09-30T09:27:26.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5407,"fairsharing_record_id":270,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:26.284Z","updated_at":"2021-09-30T09:27:26.284Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5408,"fairsharing_record_id":270,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:26.314Z","updated_at":"2021-09-30T09:27:26.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5409,"fairsharing_record_id":270,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:26.337Z","updated_at":"2021-09-30T09:27:26.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"271","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-07-20T09:39:22.355Z","metadata":{"doi":"10.25504/FAIRsharing.3x8jd5","name":"Radiation Oncology Ontology","status":"ready","contacts":[{"contact_name":"Andre Dekker","contact_email":"andre.dekker@maastro.nl"}],"homepage":"https://www.cancerdata.org/roo-information","citations":[{"doi":"10.1002/mp.12879","pubmed_id":30144092,"publication_id":2716}],"identifier":271,"description":"The Radiation Oncology Ontology (ROO) aims to cover the radiation oncology domain with a strong focus on re-using existing ontologies. ROO models terms including: uniform and non-uniform margins; ROI target volumes and organs-at-risk; dose-volume histogram parameters (Dx, Vx, MLD, etc.); and on-line / off-line setup protocols. ROO represents clinical data (and their relationships) in the radiation oncology domain following FAIR principles.","abbreviation":"ROO","support_links":[{"url":"https://www.cancerdata.org/system/files/file_attach/ROO-WhitePaper.pdf","name":"ROO White Paper (PDF)","type":"Help documentation"},{"url":"https://github.com/RadiationOncologyOntology/ROO","name":"GitHub Repository","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ROO","name":"ROO","portal":"BioPortal"}]},"legacy_ids":["bsg-000806","bsg-s000806"],"name":"FAIRsharing record for: Radiation Oncology Ontology","abbreviation":"ROO","url":"https://fairsharing.org/10.25504/FAIRsharing.3x8jd5","doi":"10.25504/FAIRsharing.3x8jd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Radiation Oncology Ontology (ROO) aims to cover the radiation oncology domain with a strong focus on re-using existing ontologies. ROO models terms including: uniform and non-uniform margins; ROI target volumes and organs-at-risk; dose-volume histogram parameters (Dx, Vx, MLD, etc.); and on-line / off-line setup protocols. ROO represents clinical data (and their relationships) in the radiation oncology domain following FAIR principles.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16984}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Health Science","Biomedical Science"],"domains":["Cancer","Radiotherapy"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":2716,"pubmed_id":30144092,"title":"The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques.","year":2018,"url":"http://doi.org/10.1002/mp.12879","authors":"Traverso A,van Soest J,Wee L,Dekker A","journal":"Med Phys","doi":"10.1002/mp.12879","created_at":"2021-09-30T08:27:33.520Z","updated_at":"2021-09-30T08:27:33.520Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":1735,"relation":"undefined"}],"grants":[{"id":5411,"fairsharing_record_id":271,"organisation_id":1740,"relation":"maintains","created_at":"2021-09-30T09:27:26.397Z","updated_at":"2021-09-30T09:27:26.397Z","grant_id":null,"is_lead":true,"saved_state":{"id":1740,"name":"MAASTRO Clinic, Maastricht, The Netherlands","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"272","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-22T21:04:42.793Z","metadata":{"doi":"10.25504/FAIRsharing.a5e1jd","name":"Enzyme Mechanism Ontology","status":"uncertain","contacts":[{"contact_name":"Gemma Holliday","contact_email":"gemma.l.holliday@gmail.com","contact_orcid":"0000-0002-6731-6398"}],"homepage":"http://bioportal.bioontology.org/ontologies/EMO","identifier":272,"description":"The \"Enzyme Mechanism Ontology \" describes the components of an enzyme and its reaction mechanism including the roles that the components play in the reaction mechanism.","abbreviation":"EMO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EMO","name":"EMO","portal":"BioPortal"}]},"legacy_ids":["bsg-000276","bsg-s000276"],"name":"FAIRsharing record for: Enzyme Mechanism Ontology","abbreviation":"EMO","url":"https://fairsharing.org/10.25504/FAIRsharing.a5e1jd","doi":"10.25504/FAIRsharing.a5e1jd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The \"Enzyme Mechanism Ontology \" describes the components of an enzyme and its reaction mechanism including the roles that the components play in the reaction mechanism.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11182},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12093}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":9255,"fairsharing_record_id":272,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.697Z","updated_at":"2022-04-11T12:07:25.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"273","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-03-23T14:17:08.532Z","metadata":{"doi":"10.25504/FAIRsharing.jt4pzr","name":"Sample Processing and Separation Techniques Ontology","status":"deprecated","contacts":[{"contact_name":"SEP developers","contact_email":"psidev-gps-dev@lists.sourceforge.net"}],"homepage":"http://psidev.info/index.php?q=node/312","citations":[],"identifier":273,"description":"A structured controlled vocabulary for the annotation of sample processing and separation techniques in scientific experiments, such as, and including, gel electrophoresis, column chromatography, capillary electrophoresis, centrifugation and so on. Developed jointly by the HUPO Proteomics Standards Initiative and The Metabolomics Standards Initiative.","abbreviation":"SEP","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SEP","name":"SEP","portal":"BioPortal"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-001006","bsg-s001006"],"name":"FAIRsharing record for: Sample Processing and Separation Techniques Ontology","abbreviation":"SEP","url":"https://fairsharing.org/10.25504/FAIRsharing.jt4pzr","doi":"10.25504/FAIRsharing.jt4pzr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the annotation of sample processing and separation techniques in scientific experiments, such as, and including, gel electrophoresis, column chromatography, capillary electrophoresis, centrifugation and so on. Developed jointly by the HUPO Proteomics Standards Initiative and The Metabolomics Standards Initiative.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Chromatography","Electrophoresis"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"274","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T10:34:23.962Z","metadata":{"doi":"10.25504/FAIRsharing.xhpn6z","name":"Botryllus schlosseri anatomy and development ontology","status":"ready","contacts":[{"contact_name":"Delphine DAUGA","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"http://bioportal.bioontology.org/ontologies/BSAO","citations":[],"identifier":274,"description":"The Botryllus schlosseri Ontology of Development and Anatomy (BODA) is the first ontology describing the anatomy and the development of Botryllus schlosseri. It is based on studies that investigate the anatomy, blastogenesis and regeneration of this organism. BODA features allow the users to easily search and identify anatomical structures in the colony, to define the developmental stage, and to follow the morphogenetic events of a tissue and/or organ of interest throughout asexual development.","abbreviation":"BSAO","support_links":[{"url":"contact@aniseed.cnrs.fr","type":"Support email"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BSAO","name":"BSAO","portal":"BioPortal"}]},"legacy_ids":["bsg-000971","bsg-s000971"],"name":"FAIRsharing record for: Botryllus schlosseri anatomy and development ontology","abbreviation":"BSAO","url":"https://fairsharing.org/10.25504/FAIRsharing.xhpn6z","doi":"10.25504/FAIRsharing.xhpn6z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Botryllus schlosseri Ontology of Development and Anatomy (BODA) is the first ontology describing the anatomy and the development of Botryllus schlosseri. It is based on studies that investigate the anatomy, blastogenesis and regeneration of this organism. BODA features allow the users to easily search and identify anatomical structures in the colony, to define the developmental stage, and to follow the morphogenetic events of a tissue and/or organ of interest throughout asexual development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Botryllus schlosseri"],"user_defined_tags":["Asexual reproduction","Morphogenesis"],"countries":["France","Italy","Japan","United States"],"publications":[{"id":2228,"pubmed_id":24789338,"title":"Ontology for the asexual development and anatomy of the colonial chordate Botryllus schlosseri.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0096434","authors":"Manni L,Gasparini F,Hotta K,Ishizuka KJ,Ricci L,Tiozzo S,Voskoboynik A,Dauga D","journal":"PLoS One","doi":"10.1371/journal.pone.0096434","created_at":"2021-09-30T08:26:31.019Z","updated_at":"2021-09-30T08:26:31.019Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":163,"relation":"undefined"}],"grants":[{"id":5413,"fairsharing_record_id":274,"organisation_id":275,"relation":"maintains","created_at":"2021-09-30T09:27:26.463Z","updated_at":"2021-09-30T09:27:26.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":275,"name":"Bioself Communication, Cannes, France","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5414,"fairsharing_record_id":274,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:27:26.487Z","updated_at":"2021-09-30T09:27:26.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"259","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T14:40:50.877Z","metadata":{"doi":"10.25504/FAIRsharing.kr3215","name":"Access to Biological Collection Data","status":"ready","contacts":[{"contact_name":"Patricia Mergen","contact_email":"secretary@tdwg.org","contact_orcid":"0000-0003-2848-8231"}],"homepage":"http://www.tdwg.org/standards/115/","citations":[],"identifier":259,"description":"The Access to Biological Collections Data (ABCD) Schema is a standard for the access to and exchange of data about primary biodiversity data. It is compatible with several existing data standards and supports several datasets. It is implemented in XML and OWL.","abbreviation":"ABCD","support_links":[{"url":"https://github.com/tdwg/abcd/issues","name":"Issue Tracker","type":"Github"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","name":"TDWG Technical Architecture Group Discussions","type":"Mailing list"},{"url":"https://wiki.bgbm.org/bps/index.php/CommonABCD2Concepts","name":"CommonABCD2Concepts","type":"Help documentation"},{"url":"https://wiki.bgbm.org/bps/index.php/SampleABCDDocument","name":"SampleABCDDocument","type":"Help documentation"},{"url":"https://abcd.tdwg.org/","name":"ABCD Documentation Home","type":"Help documentation"},{"url":"https://abcd.tdwg.org/ontology/documentation/primer/","name":"Ontology Primer","type":"Help documentation"},{"url":"https://abcd.tdwg.org/xml/","name":"XML Overview","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-000197","bsg-s000197"],"name":"FAIRsharing record for: Access to Biological Collection Data","abbreviation":"ABCD","url":"https://fairsharing.org/10.25504/FAIRsharing.kr3215","doi":"10.25504/FAIRsharing.kr3215","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Access to Biological Collections Data (ABCD) Schema is a standard for the access to and exchange of data about primary biodiversity data. It is compatible with several existing data standards and supports several datasets. It is implemented in XML and OWL.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12273},{"linking_record_name":"Biological Collection Access Service","linking_record_id":4209,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14916}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Observations","Structured data"],"countries":["Worldwide"],"publications":[{"id":2792,"pubmed_id":null,"title":"The ABCD of primary biodiversity data access","year":2012,"url":"https://www.tandfonline.com/doi/full/10.1080/11263504.2012.740085?scroll=top\u0026needAccess=true","authors":"J. Holetschek, G. Dröge, A. Güntsch, W. G. Berendsohn","journal":"Plant Biosystems","doi":null,"created_at":"2021-09-30T08:27:43.315Z","updated_at":"2021-09-30T08:27:43.315Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3522,"relation":"applies_to_content"}],"grants":[{"id":5390,"fairsharing_record_id":259,"organisation_id":19,"relation":"maintains","created_at":"2021-09-30T09:27:25.703Z","updated_at":"2021-09-30T09:27:25.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":19,"name":"Access to Biological Collections Data (ABCD) task group, Taxonomic Databases Working Group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBczBEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--12af8bd57badb4a47e9620ec85f39e49a7fd7160/Screenshot%20from%202024-03-05%2013-51-53.png?disposition=inline","exhaustive_licences":true}},{"id":"260","type":"fairsharing_records","attributes":{"created_at":"2016-06-14T22:18:01.000Z","updated_at":"2023-03-09T18:50:31.759Z","metadata":{"doi":"10.25504/FAIRsharing.2fbnkr","name":"Minimum Information About Particle Tracking Experiments","status":"in_development","contacts":[{"contact_name":"Caterina Strambio De Castillia","contact_email":"caterina.stramnio@umassmed.edu","contact_orcid":"0000-0002-1069-1816"}],"homepage":"https://github.com/OmegaProject/MIAPTE","citations":[],"identifier":260,"description":"The proposed Minimum Information About Particle Tracking Experiments (MIAPTE) reporting guidelines described here aims to deliver a set of rules representing the minimal information required to report and support interpretation and assessment of data arising from intracellular multiple particle tracking (MPT) experiments. Examples of such experiments are those tracking viral particles as they move from the site of entry to the site of replication within an infected cell, or those following vesicular dynamics during secretion, endocytosis, or exocytosis. By promoting development of community standards, MIAPTE will contribute to making MPT data FAIR (Findable Accessible Interoperable and Reusable). Ultimately, the goal of MIAPTE is to promote and maximize data access, discovery, preservation, re-use, and re-purposing through efficient annotation, and ultimately to enable reproducibility of particle tracking experiments. The MIAPTE guidelines are intended for different categories of users: 1) Scientists with the desire to make new results available in a way that can be interpreted unequivocally by both humans and machines. For this class of users, MIAPTE provides data descriptors to define data entry terms and the analysis workflow in a unified manner. 2) Scientists wishing to evaluate, replicate and re-analyze results published by others. For this class of users MIAPTE provides descriptors that define the analysis procedures in a manner that facilitates its reproduction. 3) Developers who want to take advantage of the schema of MIAPTE to produce MIAPTE compatible tools. MIAPTE consists of a list of controlled vocabulary (CV) terms that describe elements and properties for the minimal description of particle tracking experiments, with a focus on viral and vesicular traffic within cells. As part of this submission we provide entity relationship (ER) diagrams that show the relationship between terms. Finally, we also provide documents containing the MIAPTE-compliant XML schema describing the data model used by Open Microscopy Environment inteGrated Analysis (OMEGA), our novel particle tracking data analysis and management tool, which is reported in a separate manuscript. MIAPTE is structured in two sub-sections: 1) Section 1 contains elements, attributes and data structures describing the results of particle tracking, namely: particles, links, segments and trajectories. 2) Section 2 contains details about the algorithmic procedure utilized to produce and analyze trajectories as well as the results of trajectory analysis. In addition MIAPTE includes those OME-XML elements that are required to capture the acquisition parameters and the structure of images to be subjected to particle tracking The current version of the model, MIAPTE v02, is intended to be a Request for Comments (Crocker and Postel, 2008). Members of the scientific and developer communities are invited to collaborate with us to modify, extend, and improve the model.","abbreviation":"MIAPTE","support_links":[{"url":"http://big.umassmed.edu/omegaweb/resources/miapte/","name":"MIAPTE page on the OMEGA project website","type":"Help documentation"},{"url":"https://github.com/OmegaProject/MIAPTE/blob/master/2017-07-12_v02/2017-07-12_MIAPTE_v02_Section_1_Trajectories_ER_diagram.png","name":"Entity Relationship schema describing the Section 1 (Trajectory Elements) of MIAPTE","type":"Github"},{"url":"https://github.com/OmegaProject/MIAPTE/blob/master/2017-07-12_v02/2017-07-12_MIAPTE_v02_Section_2_Analysis_ER_diagram.png","name":"Entity Relationship schema describing the Section 2 (Analysis Elements) of MIAPTE","type":"Github"},{"url":"https://github.com/OmegaProject/MIAPTE/blob/master/2017-07-12_v02/2017-07-12_MIAPTE_Guidelines_v02.xlsx","name":"Glossary of MIAPTE guidelines","type":"Github"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/OmegaProject","name":"Open Miscroscopy Environment inteGrated Analysis (OMEGA) beta v034"}]},"legacy_ids":["bsg-000671","bsg-s000671"],"name":"FAIRsharing record for: Minimum Information About Particle Tracking Experiments","abbreviation":"MIAPTE","url":"https://fairsharing.org/10.25504/FAIRsharing.2fbnkr","doi":"10.25504/FAIRsharing.2fbnkr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The proposed Minimum Information About Particle Tracking Experiments (MIAPTE) reporting guidelines described here aims to deliver a set of rules representing the minimal information required to report and support interpretation and assessment of data arising from intracellular multiple particle tracking (MPT) experiments. Examples of such experiments are those tracking viral particles as they move from the site of entry to the site of replication within an infected cell, or those following vesicular dynamics during secretion, endocytosis, or exocytosis. By promoting development of community standards, MIAPTE will contribute to making MPT data FAIR (Findable Accessible Interoperable and Reusable). Ultimately, the goal of MIAPTE is to promote and maximize data access, discovery, preservation, re-use, and re-purposing through efficient annotation, and ultimately to enable reproducibility of particle tracking experiments. The MIAPTE guidelines are intended for different categories of users: 1) Scientists with the desire to make new results available in a way that can be interpreted unequivocally by both humans and machines. For this class of users, MIAPTE provides data descriptors to define data entry terms and the analysis workflow in a unified manner. 2) Scientists wishing to evaluate, replicate and re-analyze results published by others. For this class of users MIAPTE provides descriptors that define the analysis procedures in a manner that facilitates its reproduction. 3) Developers who want to take advantage of the schema of MIAPTE to produce MIAPTE compatible tools. MIAPTE consists of a list of controlled vocabulary (CV) terms that describe elements and properties for the minimal description of particle tracking experiments, with a focus on viral and vesicular traffic within cells. As part of this submission we provide entity relationship (ER) diagrams that show the relationship between terms. Finally, we also provide documents containing the MIAPTE-compliant XML schema describing the data model used by Open Microscopy Environment inteGrated Analysis (OMEGA), our novel particle tracking data analysis and management tool, which is reported in a separate manuscript. MIAPTE is structured in two sub-sections: 1) Section 1 contains elements, attributes and data structures describing the results of particle tracking, namely: particles, links, segments and trajectories. 2) Section 2 contains details about the algorithmic procedure utilized to produce and analyze trajectories as well as the results of trajectory analysis. In addition MIAPTE includes those OME-XML elements that are required to capture the acquisition parameters and the structure of images to be subjected to particle tracking The current version of the model, MIAPTE v02, is intended to be a Request for Comments (Crocker and Postel, 2008). Members of the scientific and developer communities are invited to collaborate with us to modify, extend, and improve the model.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Bioinformatics","Life Science","Cell Biology"],"domains":["Cell","Microscopy","Cellular assay","Imaging","Image","Fluorescence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United States"],"publications":[{"id":2303,"pubmed_id":null,"title":"Proposal for minimum information guidelines to report and reproduce results of particle tracking and motion analysis","year":2017,"url":"http://doi.org/10.1101/155036","authors":"Alessandro Rigano and Caterina Strambio De Castillia","journal":"BioRxiv","doi":"10.1101/155036","created_at":"2021-09-30T08:26:42.291Z","updated_at":"2021-09-30T11:28:40.112Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1082,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1083,"relation":"undefined"}],"grants":[{"id":5391,"fairsharing_record_id":260,"organisation_id":3089,"relation":"maintains","created_at":"2021-09-30T09:27:25.734Z","updated_at":"2021-09-30T09:27:25.734Z","grant_id":null,"is_lead":false,"saved_state":{"id":3089,"name":"University of Massachusetts Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5393,"fairsharing_record_id":260,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:27:25.818Z","updated_at":"2021-09-30T09:27:25.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5392,"fairsharing_record_id":260,"organisation_id":2366,"relation":"funds","created_at":"2021-09-30T09:27:25.776Z","updated_at":"2021-09-30T09:27:25.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":2366,"name":"Program in Molecular Medicine, University of Massachusetts Medical School","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"256","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-11-17T08:07:42.659Z","metadata":{"doi":"10.25504/FAIRsharing.5dnjs2","name":"The Data Use Ontology","status":"ready","contacts":[{"contact_name":"Me´lanie Courtot","contact_email":"mcourtot@gmail.com"}],"homepage":"https://raw.githubusercontent.com/EBISPOT/DUO/master/duo.owl","citations":[],"identifier":256,"description":"The Data Use Ontology (DUO) describes data use requirements and limitations. DUO allows to semantically tag datasets with restriction about their usage, making them discoverable automatically based on the authorization level of users, or intended usage. This resource is based on the OBO Foundry principles, and developed using the W3C Web Ontology Language. It is used in production by the European Genome-phenome Archive (EGA) at EMBL-EBI and CRG as well as the Broad Institute for the Data Use Oversight System (DUOS).","abbreviation":"DUO","support_links":[{"url":"https://github.com/EBISPOT/DUO","name":"DUO on GitHub","type":"Github"},{"url":"https://github.com/EBISPOT/duo/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://doi.org/10.5281/zenodo.4662066","name":"Ontology Development Kit"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DUO","name":"DUO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/duo.html","name":"duo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000962","bsg-s000962"],"name":"FAIRsharing record for: The Data Use Ontology","abbreviation":"DUO","url":"https://fairsharing.org/10.25504/FAIRsharing.5dnjs2","doi":"10.25504/FAIRsharing.5dnjs2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Use Ontology (DUO) describes data use requirements and limitations. DUO allows to semantically tag datasets with restriction about their usage, making them discoverable automatically based on the authorization level of users, or intended usage. This resource is based on the OBO Foundry principles, and developed using the W3C Web Ontology Language. It is used in production by the European Genome-phenome Archive (EGA) at EMBL-EBI and CRG as well as the Broad Institute for the Data Use Oversight System (DUOS).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18277},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16952}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Spain","United Kingdom","United States"],"publications":[{"id":3643,"pubmed_id":null,"title":"The Data Use Ontology to streamline responsible access to human biomedical datasets","year":2021,"url":"http://dx.doi.org/10.1016/j.xgen.2021.100028","authors":"Lawson, Jonathan; Cabili, Moran N.; Kerry, Giselle; Boughtwood, Tiffany; Thorogood, Adrian; Alper, Pinar; Bowers, Sarion R.; Boyles, Rebecca R.; Brookes, Anthony J.; Brush, Matthew; Burdett, Tony; Clissold, Hayley; Donnelly, Stacey; Dyke, Stephanie O.M.; Freeberg, Mallory A.; Haendel, Melissa A.; Hata, Chihiro; Holub, Petr; Jeanson, Francis; Jene, Aina; Kawashima, Minae; Kawashima, Shuichi; Konopko, Melissa; Kyomugisha, Irene; Li, Haoyuan; Linden, Mikael; Rodriguez, Laura Lyman; Morita, Mizuki; Mulder, Nicola; Muller, Jean; Nagaie, Satoshi; Nasir, Jamal; Ogishima, Soichi; Ota Wang, Vivian; Paglione, Laura D.; Pandya, Ravi N.; Parkinson, Helen; Philippakis, Anthony A.; Prasser, Fabian; Rambla, Jordi; Reinold, Kathy; Rushton, Gregory A.; Saltzman, Andrea; Saunders, Gary; Sofia, Heidi J.; Spalding, John D.; Swertz, Morris A.; Tulchinsky, Ilia; van Enckevort, Esther J.; Varma, Susheel; Voisin, Craig; Yamamoto, Natsuko; Yamasaki, Chisato; Zass, Lyndon; Guidry Auvil, Jaime M.; Nyrönen, Tommi H.; Courtot, Mélanie; ","journal":"Cell Genomics","doi":"10.1016/j.xgen.2021.100028","created_at":"2022-10-25T20:32:31.810Z","updated_at":"2022-10-25T20:32:31.810Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1736,"relation":"undefined"}],"grants":[{"id":5388,"fairsharing_record_id":256,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:25.653Z","updated_at":"2021-09-30T09:27:25.653Z","grant_id":null,"is_lead":true,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5386,"fairsharing_record_id":256,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:25.605Z","updated_at":"2021-09-30T09:30:45.107Z","grant_id":852,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"201535/Z/16Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5387,"fairsharing_record_id":256,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:25.628Z","updated_at":"2021-09-30T09:30:34.990Z","grant_id":775,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U01HG009454-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdmdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9a42083efa91d79ee5c7ed8e7868db0f7faf0b76/DUO_logo_white_background.png?disposition=inline","exhaustive_licences":false}},{"id":"257","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-26T08:45:37.199Z","metadata":{"doi":"10.25504/FAIRsharing.b8233y","name":"Darwin Core translations","status":"ready","contacts":[{"contact_name":"John Wieczorek","contact_email":"gtuco.btuco@gmail.com","contact_orcid":"0000-0003-1144-0290"}],"homepage":"https://tdwg.github.io/rs.tdwg.org/","citations":[],"identifier":257,"description":"The Darwin Core is meant to serve a global community. Access to the documents describing the standard in multiple languages will facilitate open access and global adoption. This resource is meant to be an index to all translations of Darwin Core documents. Anyone interested in providing translations to be hosted with the corpus of the standard should contact the Darwin Core Task Group.","abbreviation":"DwC_translations","year_creation":2009},"legacy_ids":["bsg-002821","bsg-s002821"],"name":"FAIRsharing record for: Darwin Core translations","abbreviation":"DwC_translations","url":"https://fairsharing.org/10.25504/FAIRsharing.b8233y","doi":"10.25504/FAIRsharing.b8233y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Darwin Core is meant to serve a global community. Access to the documents describing the standard in multiple languages will facilitate open access and global adoption. This resource is meant to be an index to all translations of Darwin Core documents. Anyone interested in providing translations to be hosted with the corpus of the standard should contact the Darwin Core Task Group.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Data standards"],"countries":["United States"],"publications":[{"id":1522,"pubmed_id":22238640,"title":"Darwin Core: an evolving community-developed biodiversity data standard.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0029715","authors":"Wieczorek J,Bloom D,Guralnick R,Blum S,Doring M,Giovanni R,Robertson T,Vieglais D","journal":"PLoS One","doi":"10.1371/journal.pone.0029715","created_at":"2021-09-30T08:25:10.418Z","updated_at":"2021-09-30T08:25:10.418Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1260,"relation":"undefined"}],"grants":[{"id":9068,"fairsharing_record_id":257,"organisation_id":641,"relation":"maintains","created_at":"2022-03-30T09:38:52.505Z","updated_at":"2022-03-30T09:38:52.505Z","grant_id":null,"is_lead":true,"saved_state":{"id":641,"name":"Darwin Core Maintenance Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"258","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T11:38:51.379Z","metadata":{"doi":"10.25504/FAIRsharing.r30na3","name":"Biosurveillance Resource Directory Disease Ontology","status":"ready","contacts":[{"contact_name":"Ashlynn Daughton","contact_email":"adaughton@lanl.gov"},{"contact_name":"Alina Deshpande","contact_email":"deshpande_a@lanl.gov","contact_orcid":null}],"homepage":"http://brd.bsvgateway.org/disease","citations":[{"doi":"10.1371/journal.pone.0083730","pubmed_id":null,"publication_id":3159}],"identifier":258,"description":"Our disease ontology provides information on infectious diseases, disease synonyms, transmission pathways, disease agents, affected populations and disease properties. Diseases have been grouped into syndromic disease categories, such that programmers can look through relevant categories, as well as at specific diseases. Organisms, linked to both agents and populations, are structured hierarchically, to provide multiple levels of organism resolution. In addition, both disease transmission and relevant disease properties are available to search. Disease properties include tags like 'notifiable diseases' and 'economic importance' to flag particular disease characteristics that may be of interest, but are not captured elsewhere.","abbreviation":"BRD Disease Ontology","support_links":[{"url":"brd@lanl.gov","name":"BRD General Contact","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ABD","name":"ABD","portal":"BioPortal"}]},"legacy_ids":["bsg-000961","bsg-s000961"],"name":"FAIRsharing record for: Biosurveillance Resource Directory Disease Ontology","abbreviation":"BRD Disease Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.r30na3","doi":"10.25504/FAIRsharing.r30na3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Our disease ontology provides information on infectious diseases, disease synonyms, transmission pathways, disease agents, affected populations and disease properties. Diseases have been grouped into syndromic disease categories, such that programmers can look through relevant categories, as well as at specific diseases. Organisms, linked to both agents and populations, are structured hierarchically, to provide multiple levels of organism resolution. In addition, both disease transmission and relevant disease properties are available to search. Disease properties include tags like 'notifiable diseases' and 'economic importance' to flag particular disease characteristics that may be of interest, but are not captured elsewhere.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine"],"domains":["Disease course","Infectious disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3159,"pubmed_id":null,"title":"Advancing a Framework to Enable Characterization and Evaluation of Data Streams Useful for Biosurveillance","year":2014,"url":"http://dx.doi.org/10.1371/journal.pone.0083730","authors":"Margevicius, Kristen J.; Generous, Nicholas; Taylor-McCabe, Kirsten J.; Brown, Mac; Daniel, W. Brent; Castro, Lauren; Hengartner, Andrea; Deshpande, Alina; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0083730","created_at":"2021-12-14T19:21:50.946Z","updated_at":"2021-12-14T19:21:50.946Z"}],"licence_links":[{"licence_name":"Los Alamos National Laboratory Copyright","licence_id":894,"licence_url":"https://www.lanl.gov/resources/web-policies/copyright-legal.php","link_id":2538,"relation":"applies_to_content"}],"grants":[{"id":8647,"fairsharing_record_id":258,"organisation_id":1728,"relation":"maintains","created_at":"2021-12-14T19:21:00.516Z","updated_at":"2021-12-14T19:21:00.516Z","grant_id":null,"is_lead":true,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory (LANL), Los Alamos, NM, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"279","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T12:40:52.262Z","metadata":{"doi":"10.25504/FAIRsharing.y1mmbv","name":"Genomic Epidemiology Ontology","status":"ready","contacts":[{"contact_name":"Damion Dooley","contact_email":"damion.dooley@bccdc.ca"}],"homepage":"https://genepio.org/","identifier":279,"description":"The Genomic Epidemiology Ontology (GenEpiO) covers vocabulary necessary to identify, document and research food-borne pathogens, infectious disease surveillance and outbreak investigations. This includes descriptions of the genomics, laboratory, clinical and epidemiological contextual information required to support data sharing and integration for food-borne infectious disease surveillance and outbreak investigations.","abbreviation":"GenEpiO","support_links":[{"url":"info@genepio.org","name":"General Contact","type":"Support email"},{"url":"https://genepio.org/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://genepio.org/wp-content/uploads/2016/10/GenEpiOConsortiumSlideDeckSept2016.pdf","name":"About GenEpiO (Presentation)","type":"Help documentation"},{"url":"https://github.com/GenEpiO/genepio","name":"GitHub Project","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"http://www.obofoundry.org/ontology/genepio.html","name":"genepio","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000979","bsg-s000979"],"name":"FAIRsharing record for: Genomic Epidemiology Ontology","abbreviation":"GenEpiO","url":"https://fairsharing.org/10.25504/FAIRsharing.y1mmbv","doi":"10.25504/FAIRsharing.y1mmbv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic Epidemiology Ontology (GenEpiO) covers vocabulary necessary to identify, document and research food-borne pathogens, infectious disease surveillance and outbreak investigations. This includes descriptions of the genomics, laboratory, clinical and epidemiological contextual information required to support data sharing and integration for food-borne infectious disease surveillance and outbreak investigations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Epidemiology"],"domains":["Food","Pathogen","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":562,"relation":"undefined"}],"grants":[{"id":5415,"fairsharing_record_id":279,"organisation_id":1100,"relation":"maintains","created_at":"2021-09-30T09:27:26.518Z","updated_at":"2021-09-30T09:27:26.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":1100,"name":"GenEpiO Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"280","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:24.023Z","metadata":{"doi":"10.25504/FAIRsharing.zbff4z","name":"Gene Regulation Ontology","status":"deprecated","contacts":[{"contact_name":"Vivian Lee","contact_email":"vlee@ebi.ac.uk"}],"homepage":"http://purl.bioontology.org/ontology/GRO","identifier":280,"description":"The Gene Regulation Ontology (GRO) is a conceptual model for the domain of gene regulation. It covers processes that are linked to the regulation of gene expression as well as physical entities that are involved in these processes (such as genes and transcription factors) in terms of ontology classes and semantic relations between classes.","abbreviation":"GRO","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GRO","name":"GRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bootstrep.html","name":"bootstrep","portal":"OBO Foundry"}],"deprecation_date":"2016-04-05","deprecation_reason":"This resource has been marked as deprecated by the OBO Foundry, and no active homepage for it can be found."},"legacy_ids":["bsg-000088","bsg-s000088"],"name":"FAIRsharing record for: Gene Regulation Ontology","abbreviation":"GRO","url":"https://fairsharing.org/10.25504/FAIRsharing.zbff4z","doi":"10.25504/FAIRsharing.zbff4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene Regulation Ontology (GRO) is a conceptual model for the domain of gene regulation. It covers processes that are linked to the regulation of gene expression as well as physical entities that are involved in these processes (such as genes and transcription factors) in terms of ontology classes and semantic relations between classes.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11912}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Molecular entity","Regulation of gene expression","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":828,"pubmed_id":18487700,"title":"Gene Regulation Ontology (GRO): design principles and use cases.","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/18487700","authors":"Beisswanger E,Lee V,Kim JJ,Rebholz-Schuhmann D,Splendiani A,Dameron O,Schulz S,Hahn U","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:23:51.321Z","updated_at":"2021-09-30T08:23:51.321Z"}],"licence_links":[],"grants":[{"id":5417,"fairsharing_record_id":280,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:26.602Z","updated_at":"2021-09-30T09:27:26.602Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9230,"fairsharing_record_id":280,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.011Z","updated_at":"2022-04-11T12:07:24.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"281","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-03-30T13:17:34.716Z","metadata":{"doi":"10.25504/FAIRsharing.xj5egt","name":"BIBFRAME 2.0","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu"}],"homepage":"https://www.loc.gov/bibframe/","citations":[],"identifier":281,"description":"Initiated by the Library of Congress, BIBFRAME provides a foundation for the future of bibliographic description, both on the web, and in the broader networked world. This site presents general information about the project, including presentations, FAQs, and links to working documents. In addition to being a replacement for MARC, BIBFRAME serves as a general model for expressing and connecting bibliographic data. A major focus of the initiative will be to determine a transition path for the MARC 21 formats while preserving a robust data exchange that has supported resource sharing and cataloging cost savings in recent decades.","abbreviation":"BIBFRAME","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIBFRAME","name":"BIBFRAME","portal":"BioPortal"}]},"legacy_ids":["bsg-000975","bsg-s000975"],"name":"FAIRsharing record for: BIBFRAME 2.0","abbreviation":"BIBFRAME","url":"https://fairsharing.org/10.25504/FAIRsharing.xj5egt","doi":"10.25504/FAIRsharing.xj5egt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Initiated by the Library of Congress, BIBFRAME provides a foundation for the future of bibliographic description, both on the web, and in the broader networked world. This site presents general information about the project, including presentations, FAQs, and links to working documents. In addition to being a replacement for MARC, BIBFRAME serves as a general model for expressing and connecting bibliographic data. A major focus of the initiative will be to determine a transition path for the MARC 21 formats while preserving a robust data exchange that has supported resource sharing and cataloging cost savings in recent decades.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Citation","Bibliography"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10470,"fairsharing_record_id":281,"organisation_id":1712,"relation":"undefined","created_at":"2023-03-30T13:16:41.497Z","updated_at":"2023-03-30T13:16:41.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"262","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T09:31:05.796Z","metadata":{"doi":"10.25504/FAIRsharing.9aa0zp","name":"Minimum Information about any (x) Sequence","status":"ready","contacts":[{"contact_name":"Ramona Walls","contact_email":"rlwalls2008@gmail.com","contact_orcid":"0000-0001-8815-0078"},{"contact_name":"Chris Hunter","contact_email":"only1chunts@gmail.com","contact_orcid":null},{"contact_name":"Lynn Schriml","contact_email":"lynn.scrhiml@gmail.com","contact_orcid":null}],"homepage":"https://github.com/GenomicsStandardsConsortium/mixs","citations":[],"identifier":262,"description":"The minimum information about any (x) sequence (MIxS) is an overarching framework of standard metadata that includes sequence-type and technology specific checklists. MIxS a checklists are extended using environment or application specific Extensions.","abbreviation":"MIxS","support_links":[{"url":"https://github.com/GenomicsStandardsConsortium/mixs/issues","name":" MIxS Github issue tracker","type":"Github"},{"url":"https://w3id.org/mixs","name":"MIxS Checklists","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"https://isa-tools.org/format/configurations/index.html","name":"ISAcreator configurator tools"},{"url":"http://www.epicollect.net/","name":"EpiCollect"},{"url":"http://qiita.microbio.me/","name":"QIITA"},{"url":"http://rdp.cme.msu.edu/misc/googleSheetsHelp.jsp","name":"RDP MIMARKS Google Sheets"}],"cross_references":[{"url":"http://purl.obolibrary.org/obo/GENEPIO_0000003","name":"Genomic Epidemiology Ontology","portal":"OLS"}]},"legacy_ids":["bsg-000518","bsg-s000518"],"name":"FAIRsharing record for: Minimum Information about any (x) Sequence","abbreviation":"MIxS","url":"https://fairsharing.org/10.25504/FAIRsharing.9aa0zp","doi":"10.25504/FAIRsharing.9aa0zp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The minimum information about any (x) sequence (MIxS) is an overarching framework of standard metadata that includes sequence-type and technology specific checklists. MIxS a checklists are extended using environment or application specific Extensions.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18275},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11857},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12031},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13901}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genomics"],"domains":["Resource metadata","DNA sequence data","Deoxyribonucleic acid","Pathogen","Sequencing","Genetic marker","Metagenome","Genome"],"taxonomies":["All","Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["Germany","United Kingdom","United States"],"publications":[{"id":236,"pubmed_id":21552244,"title":"Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications","year":2011,"url":"http://doi.org/10.1038/nbt.1823","authors":"Yilmaz P, Kottmann R, Field D, Knight R, Cole JR et al.","journal":"Nature Biotechnology","doi":"10.1038/nbt.1823","created_at":"2021-09-30T08:22:45.482Z","updated_at":"2021-09-30T08:22:45.482Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 1.0 Generic (CC BY 1.0)","licence_id":156,"licence_url":"https://creativecommons.org/licenses/by/1.0/","link_id":3550,"relation":"applies_to_content"}],"grants":[{"id":5396,"fairsharing_record_id":262,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:27:25.921Z","updated_at":"2021-09-30T09:27:25.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5395,"fairsharing_record_id":262,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:25.893Z","updated_at":"2021-09-30T09:27:25.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5397,"fairsharing_record_id":262,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:25.946Z","updated_at":"2021-09-30T09:27:25.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5398,"fairsharing_record_id":262,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:25.973Z","updated_at":"2024-04-03T15:09:02.970Z","grant_id":null,"is_lead":true,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"263","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.565Z","metadata":{"doi":"10.25504/FAIRsharing.4qyf0f","name":"Regulation of Transcription Ontolology","status":"ready","contacts":[{"contact_name":"Vladimir Mironov","contact_email":"vladimir.n.mironov@gmail.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/RETO","identifier":263,"description":"An application ontology for the domain of gene transcription regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI and orthological properties from RO and SIO.","abbreviation":"ReTO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RETO","name":"RETO","portal":"BioPortal"}]},"legacy_ids":["bsg-002832","bsg-s002832"],"name":"FAIRsharing record for: Regulation of Transcription Ontolology","abbreviation":"ReTO","url":"https://fairsharing.org/10.25504/FAIRsharing.4qyf0f","doi":"10.25504/FAIRsharing.4qyf0f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of gene transcription regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI and orthological properties from RO and SIO.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12468}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Transcriptomics"],"domains":["Regulation of gene expression","Transcript"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[],"grants":[{"id":5399,"fairsharing_record_id":263,"organisation_id":2544,"relation":"maintains","created_at":"2021-09-30T09:27:26.005Z","updated_at":"2021-09-30T09:27:26.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":2544,"name":"Semantic Systems Biology Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"282","type":"fairsharing_records","attributes":{"created_at":"2017-10-05T14:29:24.000Z","updated_at":"2022-09-08T14:50:27.935Z","metadata":{"doi":"10.25504/FAIRsharing.2hqa97","name":"OmicsDI XML format","status":"ready","contacts":[{"contact_name":"Dr Yasset Perez-Riverol","contact_email":"yperez@ebi.ac.uk"}],"homepage":"https://github.com/OmicsDI/specifications/blob/master/docs/schema/OmicsDISchema.xsd","citations":[],"identifier":282,"description":"XML Schema definition for the OmicsDI XML format.","abbreviation":null,"support_links":[{"url":"omicsdi-support@ebi.ac.uk","name":"OmicsDI Support","type":"Support email"},{"url":"http://blog.omicsdi.org/post/omicsdi-spec/","name":"Blog post describing the OmicsDI schema","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/OmicsDI/xml-validator","name":"OmicsDI XML Validator"}]},"legacy_ids":["bsg-000722","bsg-s000722"],"name":"FAIRsharing record for: OmicsDI XML format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2hqa97","doi":"10.25504/FAIRsharing.2hqa97","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Schema definition for the OmicsDI XML format.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18274},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12448}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Proteomics","Metabolomics","Transcriptomics"],"domains":["Data identity and mapping"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","United Kingdom","United States","European Union"],"publications":[{"id":233,"pubmed_id":28486464,"title":"Discovering and linking public omics data sets using the Omics Discovery Index.","year":2017,"url":"http://doi.org/10.1038/nbt.3790","authors":"Perez-Riverol Y,Bai M,da Veiga Leprevost F,Squizzato S,Park YM,Haug K,Carroll AJ,Spalding D,Paschall J,Wang M,Del-Toro N,Ternent T,Zhang P,Buso N,Bandeira N,Deutsch EW,Campbell DS,Beavis RC,Salek RM,Sarkans U,Petryszak R,Keays M,Fahy E,Sud M,Subramaniam S,Barbera A,Jimenez RC,Nesvizhskii AI,Sansone SA,Steinbeck C,Lopez R,Vizcaino JA,Ping P,Hermjakob H","journal":"Nat Biotechnol","doi":"10.1038/nbt.3790","created_at":"2021-09-30T08:22:45.133Z","updated_at":"2021-09-30T08:22:45.133Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1459,"relation":"undefined"}],"grants":[{"id":5419,"fairsharing_record_id":282,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:26.674Z","updated_at":"2021-09-30T09:27:26.674Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5420,"fairsharing_record_id":282,"organisation_id":1968,"relation":"maintains","created_at":"2021-09-30T09:27:26.710Z","updated_at":"2021-09-30T09:27:26.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":1968,"name":"National Center for Protein Sciences, Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"283","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:53.000Z","updated_at":"2022-07-20T11:51:36.309Z","metadata":{"doi":"10.25504/FAIRsharing.2dUpZs","name":"FAIR Maturity Indicator Gen2-MI-F2A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F2A.md","identifier":283,"description":"The FAIR Maturity Indicator Gen2-MI-F2A measures whether the metadata of the record contains \"structured\" elements. These may be in the form of hash-like content (micrograph, JSON), or in one of the various forms of linked data (JSON-LD, RDFa, etc.).","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001374","bsg-s001374"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F2A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2dUpZs","doi":"10.25504/FAIRsharing.2dUpZs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F2A measures whether the metadata of the record contains \"structured\" elements. These may be in the form of hash-like content (micrograph, JSON), or in one of the various forms of linked data (JSON-LD, RDFa, etc.).","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13168},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13210},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13229},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13259},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13273},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20167}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1485,"relation":"undefined"}],"grants":[{"id":5421,"fairsharing_record_id":283,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:26.752Z","updated_at":"2021-09-30T09:27:26.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5423,"fairsharing_record_id":283,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:26.828Z","updated_at":"2021-09-30T09:27:26.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5422,"fairsharing_record_id":283,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:26.790Z","updated_at":"2021-09-30T09:27:26.790Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5424,"fairsharing_record_id":283,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:26.869Z","updated_at":"2021-09-30T09:27:26.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"284","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:47:45.104Z","metadata":{"doi":"10.25504/FAIRsharing.b084yh","name":"Online Mendelian Inheritance in Man Ontology","status":"ready","homepage":"http://omim.org/","identifier":284,"description":"OMIM is a comprehensive, authoritative compendium of human genes and genetic phenotypes as well as the relationship between them, that is freely available and updated daily. The OMIM ontology contains terms used within the OMIM database.","abbreviation":"OMIM Ontology","support_links":[{"url":"http://omim.org/contact","type":"Contact form"},{"url":"http://omim.org/help/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://omim.org/help/search","type":"Help documentation"},{"url":"http://omim.org/help/linking","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMIM","name":"OMIM","portal":"BioPortal"}]},"legacy_ids":["bsg-002615","bsg-s002615"],"name":"FAIRsharing record for: Online Mendelian Inheritance in Man Ontology","abbreviation":"OMIM Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.b084yh","doi":"10.25504/FAIRsharing.b084yh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OMIM is a comprehensive, authoritative compendium of human genes and genetic phenotypes as well as the relationship between them, that is freely available and updated daily. The OMIM ontology contains terms used within the OMIM database.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12015},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16955}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Disease process modeling","Phenotype","Disease","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1129,"pubmed_id":25428349,"title":"OMIM.org: Online Mendelian Inheritance in Man (OMIM(R)), an online catalog of human genes and genetic disorders.","year":2014,"url":"http://doi.org/10.1093/nar/gku1205","authors":"Amberger JS,Bocchini CA,Schiettecatte F,Scott AF,Hamosh A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1205","created_at":"2021-09-30T08:24:25.287Z","updated_at":"2021-09-30T11:28:59.934Z"}],"licence_links":[],"grants":[{"id":5425,"fairsharing_record_id":284,"organisation_id":2240,"relation":"maintains","created_at":"2021-09-30T09:27:26.911Z","updated_at":"2021-09-30T09:27:26.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":2240,"name":"OMIM Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5426,"fairsharing_record_id":284,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:26.949Z","updated_at":"2021-09-30T09:32:04.266Z","grant_id":1454,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1U41HG006627","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"261","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.424Z","metadata":{"doi":"10.25504/FAIRsharing.h1drng","name":"Tagged Image File Format","status":"ready","homepage":"http://www.digitalpreservation.gov/formats/fdd/fdd000022.shtml","identifier":261,"description":"A tag-based file format for storing and interchanging raster images.","abbreviation":null,"support_links":[{"url":"http://www.digitalpreservation.gov/formats/contact_format.shtml","type":"Contact form"},{"url":"https://en.wikipedia.org/wiki/TIFF","type":"Wikipedia"},{"url":"http://partners.adobe.com/public/developer/tiff/index.html","type":"Help documentation"}],"year_creation":1992},"legacy_ids":["bsg-000268","bsg-s000268"],"name":"FAIRsharing record for: Tagged Image File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.h1drng","doi":"10.25504/FAIRsharing.h1drng","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A tag-based file format for storing and interchanging raster images.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5394,"fairsharing_record_id":261,"organisation_id":25,"relation":"maintains","created_at":"2021-09-30T09:27:25.856Z","updated_at":"2021-09-30T09:27:25.856Z","grant_id":null,"is_lead":false,"saved_state":{"id":25,"name":"Adobe","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"285","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:55.700Z","metadata":{"doi":"10.25504/FAIRsharing.fk6zhb","name":"mz Quantitative Markup Language","status":"ready","contacts":[{"contact_name":"Andrew R Jones","contact_email":"andrew.jones@liv.ac.uk"}],"homepage":"http://www.psidev.info/mzquantml","identifier":285,"description":"The mzQuantML standard format is intended to store the systematic description of workflows quantifying molecules (principally peptides and proteins) by mass spectrometry. A large number of different software packages are available that produce output in a variety of different formats. It is intended that mzQuantML will provide a common format for the export of identification results from any software package.","abbreviation":"mzQuantML","support_links":[{"url":"psi-dev@listserv.sourceforge.net","name":"PSI Dev Mailing list","type":"Mailing list"},{"url":"https://github.com/HUPO-PSI/mzQuantML/raw/master/documentation/version1.0/mzQuantML1.0.1.docx","name":"User Guide","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-000003","bsg-s000003"],"name":"FAIRsharing record for: mz Quantitative Markup Language","abbreviation":"mzQuantML","url":"https://fairsharing.org/10.25504/FAIRsharing.fk6zhb","doi":"10.25504/FAIRsharing.fk6zhb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mzQuantML standard format is intended to store the systematic description of workflows quantifying molecules (principally peptides and proteins) by mass spectrometry. A large number of different software packages are available that produce output in a variety of different formats. It is intended that mzQuantML will provide a common format for the export of identification results from any software package.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11423},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11929},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16911}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Quantification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1339,"pubmed_id":23599424,"title":"The mzQuantML data standard for mass spectrometry-based quantitative studies in proteomics.","year":2013,"url":"http://doi.org/10.1074/mcp.O113.028506","authors":"Walzer M,Qi D,Mayer G,Uszkoreit J,Eisenacher M,Sachsenberg T,Gonzalez-Galarza FF,Fan J,Bessant C,Deutsch EW,Reisinger F,Vizcaino JA,Medina-Aunon JA,Albar JP,Kohlbacher O,Jones AR","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O113.028506","created_at":"2021-09-30T08:24:49.843Z","updated_at":"2021-09-30T08:24:49.843Z"}],"licence_links":[{"licence_name":"Mozilla Public License","licence_id":525,"licence_url":"https://www.mozilla.org/en-US/MPL/","link_id":554,"relation":"undefined"}],"grants":[{"id":5430,"fairsharing_record_id":285,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:27.061Z","updated_at":"2021-09-30T09:27:27.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5431,"fairsharing_record_id":285,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:27.099Z","updated_at":"2021-09-30T09:31:54.451Z","grant_id":1380,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I00095X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5427,"fairsharing_record_id":285,"organisation_id":2378,"relation":"funds","created_at":"2021-09-30T09:27:26.981Z","updated_at":"2021-09-30T09:27:26.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":2378,"name":"ProteomeXchange","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5429,"fairsharing_record_id":285,"organisation_id":2391,"relation":"maintains","created_at":"2021-09-30T09:27:27.030Z","updated_at":"2021-09-30T09:27:27.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":2391,"name":"Quantitative Biology Center (QBiC), Tuebingen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9282,"fairsharing_record_id":285,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:27.586Z","updated_at":"2022-04-11T12:07:27.602Z","grant_id":925,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0315450","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"286","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T11:30:33.364Z","metadata":{"doi":"10.25504/FAIRsharing.an9ct0","name":"BioMedBridges Diabetes Ontology","status":"deprecated","contacts":[{"contact_name":"Philipp","contact_email":"philipp.gormanns@helmholtz-muenchen.de"},{"contact_name":"General Queries about BioMedBridges","contact_email":"grants@elixir-europe.org","contact_orcid":null}],"homepage":"http://www.biomedbridges.eu/unlocking-data-mouse-disease-models-diabetes-ontology","citations":[],"identifier":286,"description":"The BioMedBridges diabetes-specific ontology enables users to integrate data resources related to prediabetes, diabetes, and late consequences/complications of diabetes. Data integration between mouse disease models and human studies is hindered by fundamental differences in the ontologies used by the respective communities to describe the same phenotypes. Common standards and ontologies to bridge the phenotype gap between mouse and human open extensive mouse phenotype data to clinical researchers. \n\nTo develop a comprehensive set of terms to describe Type 2 diabetes and obesity phenotypes in mouse and human, Type 2 Diabetes-related phenotypes were mined from the literature for use as new phenotype terms. Expert clinicians/diabetologists then curated the mined terms and categorised them by temporal disease stages. The ontology was then used for the annotation of mouse and human datasets with specific terminology representing Type 2 Diabetes progression, which will ultimately support translational research.","abbreviation":"DIAB","support_links":[{"url":"https://github.com/vasant32/DiabetesOntology","name":"GitHub Repository","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DIAB","name":"DIAB","portal":"BioPortal"}],"deprecation_date":"2022-01-19","deprecation_reason":"The project is no longer active and the homepage is available for reference purposes only."},"legacy_ids":["bsg-000980","bsg-s000980"],"name":"FAIRsharing record for: BioMedBridges Diabetes Ontology","abbreviation":"DIAB","url":"https://fairsharing.org/10.25504/FAIRsharing.an9ct0","doi":"10.25504/FAIRsharing.an9ct0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioMedBridges diabetes-specific ontology enables users to integrate data resources related to prediabetes, diabetes, and late consequences/complications of diabetes. Data integration between mouse disease models and human studies is hindered by fundamental differences in the ontologies used by the respective communities to describe the same phenotypes. Common standards and ontologies to bridge the phenotype gap between mouse and human open extensive mouse phenotype data to clinical researchers. \n\nTo develop a comprehensive set of terms to describe Type 2 diabetes and obesity phenotypes in mouse and human, Type 2 Diabetes-related phenotypes were mined from the literature for use as new phenotype terms. Expert clinicians/diabetologists then curated the mined terms and categorised them by temporal disease stages. The ontology was then used for the annotation of mouse and human datasets with specific terminology representing Type 2 Diabetes progression, which will ultimately support translational research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Diabetology"],"domains":["Diabetes mellitus"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"287","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-01-06T09:09:19.742Z","metadata":{"doi":"10.25504/FAIRsharing.bke5k","name":"Rheumatoid Arthritis ontology","status":"deprecated","contacts":[{"contact_name":"Liqin Wang","contact_email":"liqin.j.wang@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/RAO","citations":[],"identifier":287,"description":"A controlled vocabulary of RA-relevant information. Currently, only treatment information is available.","abbreviation":"RAO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RAO","name":"RAO","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"No valid homepage for this resource can be found. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-000977","bsg-s000977"],"name":"FAIRsharing record for: Rheumatoid Arthritis ontology","abbreviation":"RAO","url":"https://fairsharing.org/10.25504/FAIRsharing.bke5k","doi":"10.25504/FAIRsharing.bke5k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary of RA-relevant information. Currently, only treatment information is available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Rheumatology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"288","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:23.000Z","updated_at":"2022-07-20T11:10:58.324Z","metadata":{"doi":"10.25504/FAIRsharing.qUroF6","name":"FAIR Maturity Indicator Gen2-MI-I1A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I1A.md","identifier":288,"description":"The FAIR Maturity Indicator Gen2-MI-I1A measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a loose definition, that any kind of structured information is sufficient.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001378","bsg-s001378"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I1A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qUroF6","doi":"10.25504/FAIRsharing.qUroF6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I1A measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a loose definition, that any kind of structured information is sufficient.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13192},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13222},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13252},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13267},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20176}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1489,"relation":"undefined"}],"grants":[{"id":5435,"fairsharing_record_id":288,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:27.253Z","updated_at":"2021-09-30T09:27:27.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5432,"fairsharing_record_id":288,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:27.132Z","updated_at":"2021-09-30T09:27:27.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5433,"fairsharing_record_id":288,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:27.169Z","updated_at":"2021-09-30T09:27:27.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5434,"fairsharing_record_id":288,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:27.211Z","updated_at":"2021-09-30T09:27:27.211Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"289","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:04.421Z","metadata":{"doi":"10.25504/FAIRsharing.p51kqa","name":"Vertebrate Skeletal Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Wasila Dahdul","contact_email":"wasila.dahdul@usd.edu"}],"homepage":"https://wiki.phenoscape.org/wiki/Ontologies#Vertebrate_Skeletal_Anatomy_Ontology_.28VSAO.29","identifier":289,"description":"VSAO is an anatomy ontology covering the vertebrate skeletal system. VSAO integrates terms for skeletal cells, tissues, biological processes, organs (skeletal elements such as bones and cartilages), and subdivisions of the skeletal system. Note that VSAO is a deprecated ontology and has been superceded by Uberon.","abbreviation":"VSAO","support_links":[{"url":"https://wiki.phenoscape.org/wiki/Main_Page","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VSAO","name":"VSAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/vsao.html","name":"vsao","portal":"OBO Foundry"}],"deprecation_date":"2021-09-30","deprecation_reason":"Superceded by Uberon (https://fairsharing.org/FAIRsharing.4c0b6b)."},"legacy_ids":["bsg-000017","bsg-s000017"],"name":"FAIRsharing record for: Vertebrate Skeletal Anatomy Ontology","abbreviation":"VSAO","url":"https://fairsharing.org/10.25504/FAIRsharing.p51kqa","doi":"10.25504/FAIRsharing.p51kqa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VSAO is an anatomy ontology covering the vertebrate skeletal system. VSAO integrates terms for skeletal cells, tissues, biological processes, organs (skeletal elements such as bones and cartilages), and subdivisions of the skeletal system. Note that VSAO is a deprecated ontology and has been superceded by Uberon.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell","Molecular interaction","Organ","Tissue","Bone"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1654,"pubmed_id":23251424,"title":"A unified anatomy ontology of the vertebrate skeletal system.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0051070","authors":"Dahdul WM,Balhoff JP,Blackburn DC,Diehl AD,Haendel MA,Hall BK,Lapp H,Lundberg JG,Mungall CJ,Ringwald M,Segerdell E,Van Slyke CE,Vickaryous MK,Westerfield M,Mabee PM","journal":"PLoS One","doi":"10.1371/journal.pone.0051070","created_at":"2021-09-30T08:25:25.293Z","updated_at":"2021-09-30T08:25:25.293Z"}],"licence_links":[],"grants":[{"id":5436,"fairsharing_record_id":289,"organisation_id":2809,"relation":"maintains","created_at":"2021-09-30T09:27:27.332Z","updated_at":"2021-09-30T09:27:27.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"290","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-03-11T11:56:29.658Z","metadata":{"doi":"10.25504/FAIRsharing.jcj3gv","name":"Monogenean Ontology","status":"deprecated","contacts":[{"contact_name":"Narjes","contact_email":"hn.narjes@gmail.com"},{"contact_name":"Sarinder Kaur","contact_email":"sarinder@um.edu.my","contact_orcid":null}],"homepage":"http://bioportal.bioontology.org/ontologies/MONO","citations":[],"identifier":290,"description":"The Monogenean Ontology is an ontology describing the anatomy of Monogeneans, small worms that parasitise aquatic animals such as fish and frogs.","abbreviation":"MONO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MONO","name":"MONO","portal":"BioPortal"}],"deprecation_date":"2022-03-11","deprecation_reason":"This resource has not been updated in BioPortal since its initial submission, and no alternative homepage or information can be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000976","bsg-s000976"],"name":"FAIRsharing record for: Monogenean Ontology","abbreviation":"MONO","url":"https://fairsharing.org/10.25504/FAIRsharing.jcj3gv","doi":"10.25504/FAIRsharing.jcj3gv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Monogenean Ontology is an ontology describing the anatomy of Monogeneans, small worms that parasitise aquatic animals such as fish and frogs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Monogenea"],"user_defined_tags":[],"countries":["Malaysia"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"291","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:08:22.000Z","updated_at":"2022-07-20T12:38:57.054Z","metadata":{"doi":"10.25504/FAIRsharing.LLXjWx","name":"FAIR Maturity Indicator Gen2-MI-I3","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I3.md","identifier":291,"description":"The FAIR Maturity Indicator Gen2-MI-I3 measures whether the linked data metadata contain links that are not from the same source (domain/host). Data silos thwart interoperability. Thus, we should reasonably expect that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5 star linked data.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001382","bsg-s001382"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I3","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LLXjWx","doi":"10.25504/FAIRsharing.LLXjWx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I3 measures whether the linked data metadata contain links that are not from the same source (domain/host). Data silos thwart interoperability. Thus, we should reasonably expect that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5 star linked data.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13188},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13218},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13263},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20166}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1493,"relation":"undefined"}],"grants":[{"id":5438,"fairsharing_record_id":291,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:27.425Z","updated_at":"2021-09-30T09:27:27.425Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5437,"fairsharing_record_id":291,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:27.387Z","updated_at":"2021-09-30T09:27:27.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5439,"fairsharing_record_id":291,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:27.460Z","updated_at":"2021-09-30T09:27:27.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5440,"fairsharing_record_id":291,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:27.490Z","updated_at":"2021-09-30T09:27:27.490Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"292","type":"fairsharing_records","attributes":{"created_at":"2021-01-30T10:50:05.000Z","updated_at":"2022-02-08T10:42:52.411Z","metadata":{"doi":"10.25504/FAIRsharing.695abb","name":"Connectivity Table file format","status":"ready","contacts":[{"contact_name":"David H. Mathews","contact_email":"David_Mathews@urmc.rochester.edu","contact_orcid":"0000-0002-2907-6557"}],"homepage":"http://rna.urmc.rochester.edu/Text/File_Formats.html#CT","identifier":292,"description":"A CT (Connectivity Table) file contains secondary structure information for a RNA sequence.","abbreviation":"CT file format"},"legacy_ids":["bsg-001586","bsg-s001586"],"name":"FAIRsharing record for: Connectivity Table file format","abbreviation":"CT file format","url":"https://fairsharing.org/10.25504/FAIRsharing.695abb","doi":"10.25504/FAIRsharing.695abb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A CT (Connectivity Table) file contains secondary structure information for a RNA sequence.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12142}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["RNA sequence","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5441,"fairsharing_record_id":292,"organisation_id":1772,"relation":"maintains","created_at":"2021-09-30T09:27:27.521Z","updated_at":"2021-09-30T09:27:27.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":1772,"name":"Mathews Lab, Department of Biochemistry \u0026 Biophysics, University of Rochester Medical Center, Rochester, NY, US","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"293","type":"fairsharing_records","attributes":{"created_at":"2020-01-28T12:51:30.000Z","updated_at":"2022-02-08T10:31:10.392Z","metadata":{"doi":"10.25504/FAIRsharing.504c6c","name":"Radiomics Ontology","status":"ready","contacts":[{"contact_name":"Alberto Traverso","contact_email":"alberto.traverso@maastro.nl"}],"homepage":"https://github.com/albytrav/RadiomicsOntologyIBSI","identifier":293,"description":"The Radiomics Ontology (RO) aims to cover the radiomics feature domain as well as the full spectrum of radiomics computational details. Radiomics is a research area concerned with the extraction of large amount of features from radiographic medical images. The current version of the RO includes all the possible steps that should be documented when performing a radiomic study. RO shares IRIs with the IBSI reference manual.","abbreviation":"RO","support_links":[{"url":"https://github.com/albytrav/RadiomicsOntologyIBSI/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/albytrav/RadiomicsOntologyIBSI/wiki/1.-Home","name":"Wiki","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RO","name":"RO","portal":"BioPortal"}]},"legacy_ids":["bsg-001441","bsg-s001441"],"name":"FAIRsharing record for: Radiomics Ontology","abbreviation":"RO","url":"https://fairsharing.org/10.25504/FAIRsharing.504c6c","doi":"10.25504/FAIRsharing.504c6c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Radiomics Ontology (RO) aims to cover the radiomics feature domain as well as the full spectrum of radiomics computational details. Radiomics is a research area concerned with the extraction of large amount of features from radiographic medical images. The current version of the RO includes all the possible steps that should be documented when performing a radiomic study. RO shares IRIs with the IBSI reference manual.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiology","Computer Science","Biomedical Science"],"domains":["Medical imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Radiomics"],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":5442,"fairsharing_record_id":293,"organisation_id":1740,"relation":"maintains","created_at":"2021-09-30T09:27:27.553Z","updated_at":"2021-09-30T09:27:27.553Z","grant_id":null,"is_lead":true,"saved_state":{"id":1740,"name":"MAASTRO Clinic, Maastricht, The Netherlands","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"294","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-05-16T10:22:09.508Z","metadata":{"doi":"10.25504/FAIRsharing.46rwe6","name":"Clinical Signs and Symptoms Ontology","status":"deprecated","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"http://mdb.bio.titech.ac.jp/csso","citations":[],"identifier":294,"description":"An ontology for describing clinical signs and symptoms.","abbreviation":"CSSO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSSO","name":"CSSO","portal":"BioPortal"}],"deprecation_date":"2022-05-12","deprecation_reason":"This resource's homepage can no longer be found, and the related ontology download in BioPortal has not been updated since 2016. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-000982","bsg-s000982"],"name":"FAIRsharing record for: Clinical Signs and Symptoms Ontology","abbreviation":"CSSO","url":"https://fairsharing.org/10.25504/FAIRsharing.46rwe6","doi":"10.25504/FAIRsharing.46rwe6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing clinical signs and symptoms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"295","type":"fairsharing_records","attributes":{"created_at":"2016-12-27T19:50:55.000Z","updated_at":"2023-01-02T11:00:31.211Z","metadata":{"doi":"10.25504/FAIRsharing.9y8f0n","name":"The Potential Drug-drug Interaction and Potential Drug-drug Interaction Evidence Ontology","status":"ready","contacts":[{"contact_name":"Richard D. Boyce","contact_email":"rdb20@pitt.edu","contact_orcid":"0000-0002-2993-2085"}],"homepage":"https://github.com/DIDEO/DIDEO","citations":[],"identifier":295,"description":"A domain ontology for potential drug-drug interactions (PDDIs) that covers the material entities and processes in the domain of discourse for PDDI evidence and knowledge claims. The representation enables the integration of drug interaction mechanisms, effects, risk factors, severity, and management options with the chemical and pharmacological properties (e.g., chemical structure, function, pharmacokinetic and pharmacodynamic properties) of the interacting drugs. It also has a rich and detailed set evidence entities related to pharmacology. See below for publications about DIDEO. A description of the goals of the project can be found in the following workshop paper located in the docs/DIDEO-discussion-ICBO-Brochhausen-2014.pdf: Brochhausen, M., Schneider, J., Malone, D., Empey, PE., Hogan WR., and Boyce, RD. Towards a foundational representation of potential drug-drug interaction knowledge. The 1st International Drug-Drug Interaction Knowledge Representation Workshop (DIKR 2014). Collocated with the 2014 International Conference on Biomedical Ontology (ICBO 2014). October 6th, Houston, Texas. United States.","abbreviation":"DIDEO","support_links":[{"url":"http://forums.dikb.org/c/ontology-and-representation","type":"Forum"}],"year_creation":2014,"associated_tools":[{"url":"https://repo.napdi.org/","name":"The Natural Product-Drug Interaction Research Data Repository 1.0"}],"cross_references":[{"url":"http://www.obofoundry.org/ontology/dideo.html","name":"dideo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000690","bsg-s000690"],"name":"FAIRsharing record for: The Potential Drug-drug Interaction and Potential Drug-drug Interaction Evidence Ontology","abbreviation":"DIDEO","url":"https://fairsharing.org/10.25504/FAIRsharing.9y8f0n","doi":"10.25504/FAIRsharing.9y8f0n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A domain ontology for potential drug-drug interactions (PDDIs) that covers the material entities and processes in the domain of discourse for PDDI evidence and knowledge claims. The representation enables the integration of drug interaction mechanisms, effects, risk factors, severity, and management options with the chemical and pharmacological properties (e.g., chemical structure, function, pharmacokinetic and pharmacodynamic properties) of the interacting drugs. It also has a rich and detailed set evidence entities related to pharmacology. See below for publications about DIDEO. A description of the goals of the project can be found in the following workshop paper located in the docs/DIDEO-discussion-ICBO-Brochhausen-2014.pdf: Brochhausen, M., Schneider, J., Malone, D., Empey, PE., Hogan WR., and Boyce, RD. Towards a foundational representation of potential drug-drug interaction knowledge. The 1st International Drug-Drug Interaction Knowledge Representation Workshop (DIKR 2014). Collocated with the 2014 International Conference on Biomedical Ontology (ICBO 2014). October 6th, Houston, Texas. United States.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry"],"domains":["Evidence","Drug interaction","Natural product"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":422,"pubmed_id":null,"title":"Conceptual models of drug-drug interactions : A summary of recent efforts","year":2016,"url":"http://doi.org/10.1016/j.knosys.2016.10.006","authors":"María Herrero-Zazo and Isabel Segura-Bedmar and Paloma Martínez","journal":"Knowledge-based systems","doi":"10.1016/j.knosys.2016.10.006","created_at":"2021-09-30T08:23:05.866Z","updated_at":"2021-09-30T08:23:05.866Z"},{"id":1953,"pubmed_id":null,"title":"Towards a foundational representation of potential drug-drug interaction knowledge.","year":2014,"url":"https://www.dbmi.pitt.edu/sites/default/files/lisc2014_proceedings2.pdf","authors":"Brochhausen, M. Et al.","journal":"The 1st International Drug-Drug Interaction Knowledge Representation Workshop (DIKR 2014). Collocated with the 2014 International Conference on Biomedical Ontology (ICBO 2014).","doi":null,"created_at":"2021-09-30T08:25:59.774Z","updated_at":"2021-09-30T11:28:33.744Z"},{"id":2452,"pubmed_id":29743102,"title":"Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0183-z","authors":"Judkins J,Tay-Sontheimer J,Boyce RD,Brochhausen M","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0183-z","created_at":"2021-09-30T08:27:00.787Z","updated_at":"2021-09-30T08:27:00.787Z"},{"id":2549,"pubmed_id":29295242,"title":"Formalizing Evidence Type Definitions for Drug-Drug Interaction Studies to Improve Evidence Base Curation.","year":2018,"url":"https://www.ncbi.nlm.nih.gov/pubmed/29295242","authors":"Utecht J,Brochhausen M,Judkins J,Schneider J,Boyce RD","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:27:12.587Z","updated_at":"2021-09-30T08:27:12.587Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":573,"relation":"undefined"}],"grants":[{"id":5444,"fairsharing_record_id":295,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:27.624Z","updated_at":"2021-09-30T09:27:27.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5443,"fairsharing_record_id":295,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:27.592Z","updated_at":"2021-09-30T09:32:07.994Z","grant_id":1483,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01LM011838","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"296","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:08:12.000Z","updated_at":"2022-07-20T12:08:02.348Z","metadata":{"doi":"10.25504/FAIRsharing.RCUuvt","name":"FAIR Maturity Indicator Gen2-MI-I2B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I2B.md","identifier":296,"description":"The FAIR Maturity Indicator Gen2-MI-I2B measures if the (meta)data uses vocabularies that are, themselves, FAIR. In this strict Maturity Indicator, we test if the vocabulary terms resolve to machine-readable linked data. A second Maturity Indicator (Gen2-FM-I2A) is looser than this MI.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001381","bsg-s001381"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I2B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.RCUuvt","doi":"10.25504/FAIRsharing.RCUuvt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I2B measures if the (meta)data uses vocabularies that are, themselves, FAIR. In this strict Maturity Indicator, we test if the vocabulary terms resolve to machine-readable linked data. A second Maturity Indicator (Gen2-FM-I2A) is looser than this MI.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13189},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13219},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13249},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13264},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20179}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1492,"relation":"undefined"}],"grants":[{"id":5445,"fairsharing_record_id":296,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:27.661Z","updated_at":"2021-09-30T09:27:27.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5446,"fairsharing_record_id":296,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:27.703Z","updated_at":"2021-09-30T09:27:27.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5447,"fairsharing_record_id":296,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:27.745Z","updated_at":"2021-09-30T09:27:27.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5448,"fairsharing_record_id":296,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:27.782Z","updated_at":"2021-09-30T09:27:27.782Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"297","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T11:09:01.963Z","metadata":{"doi":"10.25504/FAIRsharing.knrb06","name":"Nexus XML","status":"ready","contacts":[{"contact_name":"Rutger Vos","contact_email":"rutger.vos@ncbnaturalis.nl","contact_orcid":"0000-0001-9254-7318"}],"homepage":"https://github.com/nexml","citations":[],"identifier":297,"description":"To facilitate interoperability in evolutionary comparative analysis, we present NeXML, an XML standard (inspired by the current standard, NEXUS) that supports exchange of richly annotated comparative data. NeXML defines syntax for operational taxonomic units, character-state matrices, and phylogenetic trees and networks. Documents can be validated unambiguously. Importantly, any data element can be annotated, to an arbitrary degree of richness, using a system that is both flexible and rigorous. We describe how the use of NeXML by the TreeBASE and Phenoscape projects satisfies user needs that cannot be satisfied with other available file formats","abbreviation":"NeXML","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/nexml-discuss","type":"Mailing list"},{"url":"https://github.com/nexml","name":"NeXML Manual","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/NeXML_format","name":"Wikipedia ","type":"Other"}],"year_creation":2011},"legacy_ids":["bsg-000529","bsg-s000529"],"name":"FAIRsharing record for: Nexus XML","abbreviation":"NeXML","url":"https://fairsharing.org/10.25504/FAIRsharing.knrb06","doi":"10.25504/FAIRsharing.knrb06","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To facilitate interoperability in evolutionary comparative analysis, we present NeXML, an XML standard (inspired by the current standard, NEXUS) that supports exchange of richly annotated comparative data. NeXML defines syntax for operational taxonomic units, character-state matrices, and phylogenetic trees and networks. Documents can be validated unambiguously. Importantly, any data element can be annotated, to an arbitrary degree of richness, using a system that is both flexible and rigorous. We describe how the use of NeXML by the TreeBASE and Phenoscape projects satisfies user needs that cannot be satisfied with other available file formats","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","India","Netherlands","United States"],"publications":[{"id":2291,"pubmed_id":22357728,"title":"NeXML: Rich, Extensible, and Verifiable Representation of Comparative Data and Metadata","year":2012,"url":"http://doi.org/10.1093/sysbio/sys025","authors":"Vos RA, Balhoff JP, Caravas JA, Holder MT, Lapp H, Maddison WP, Midford PE, Priyam A, Sukumaran J, Xia X, Stoltzfus A.","journal":"Systematic Biology","doi":"doi:10.1093/sysbio/sys025","created_at":"2021-09-30T08:26:39.465Z","updated_at":"2021-09-30T08:26:39.465Z"}],"licence_links":[],"grants":[{"id":5450,"fairsharing_record_id":297,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:27.879Z","updated_at":"2021-09-30T09:29:18.519Z","grant_id":188,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"237046","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5449,"fairsharing_record_id":297,"organisation_id":3107,"relation":"maintains","created_at":"2021-09-30T09:27:27.815Z","updated_at":"2021-09-30T09:27:27.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"298","type":"fairsharing_records","attributes":{"created_at":"2018-07-17T12:22:49.000Z","updated_at":"2023-11-01T11:09:03.814Z","metadata":{"name":"FAIR Data Point","status":"in_development","homepage":"https://github.com/DTL-FAIRData/FAIRDataPoint","identifier":298,"description":"FAIRDataPoint is a REST api for creating, storing and servering FAIR metadata. The metadata contents are in this api are generated semi-automatically according to the FAIR Data Point software specification document. In the current version of api we support GET, POST and PATCH requests.","abbreviation":"FDP","support_links":[{"url":"https://github.com/DTL-FAIRData/FAIRDataPoint/wiki/FAIR-Data-Point-Specification","name":"FAIR Data Point Specification","type":"Github"},{"url":"https://fairdatapoint.readthedocs.io/en/latest/","name":"FAIR Data Point Documentation","type":"Help documentation"}]},"legacy_ids":["bsg-001221","bsg-s001221"],"name":"FAIRsharing record for: FAIR Data Point","abbreviation":"FDP","url":"https://fairsharing.org/fairsharing_records/298","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FAIRDataPoint is a REST api for creating, storing and servering FAIR metadata. The metadata contents are in this api are generated semi-automatically according to the FAIR Data Point software specification document. In the current version of api we support GET, POST and PATCH requests.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"299","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T16:56:56.000Z","updated_at":"2022-07-20T12:06:19.137Z","metadata":{"doi":"10.25504/FAIRsharing.1dd23d","name":"Multiple Alignment using Fast Fourier Transform","status":"ready","contacts":[{"contact_name":"Kazutaka Katoh","contact_email":"katoh@ifrec.osaka-u.ac.jp","contact_orcid":"0000-0003-4133-8393"}],"homepage":"https://mafft.cbrc.jp/alignment/software/","identifier":299,"description":"MAFFT (Multiple Alignment using Fast Fourier Transform) is a high speed multiple sequence alignment program which implements the Fast Fourier Transform (FFT) to optimise protein alignments based on the physical properties of the amino acids. The program uses progressive alignment and iterative alignment. MAFFT is useful for hard-to-align sequences such as those containing large gaps (e.g., rRNA sequences containing variable loop regions).","abbreviation":"MAFFT","support_links":[{"url":"https://mafft.cbrc.jp/alignment/software/mailform.html","name":"Feedback","type":"Contact form"},{"url":"https://www.ebi.ac.uk/seqdb/confluence/display/JDSAT/MAFFT+Help+and+Documentation","name":"MAFFT Help and Documentation on EMBL-EBI","type":"Help documentation"}],"year_creation":2006,"associated_tools":[{"url":"https://mafft.cbrc.jp/alignment/server/index.html","name":"Multiple alignment program for amino acid or nucleotide sequences Version 7"}]},"legacy_ids":["bsg-001584","bsg-s001584"],"name":"FAIRsharing record for: Multiple Alignment using Fast Fourier Transform","abbreviation":"MAFFT","url":"https://fairsharing.org/10.25504/FAIRsharing.1dd23d","doi":"10.25504/FAIRsharing.1dd23d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MAFFT (Multiple Alignment using Fast Fourier Transform) is a high speed multiple sequence alignment program which implements the Fast Fourier Transform (FFT) to optimise protein alignments based on the physical properties of the amino acids. The program uses progressive alignment and iterative alignment. MAFFT is useful for hard-to-align sequences such as those containing large gaps (e.g., rRNA sequences containing variable loop regions).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12141}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science","Comparative Genomics"],"domains":["Multiple sequence alignment","Function analysis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":84,"pubmed_id":23329690,"title":"MAFFT multiple sequence alignment software version 7: improvements in performance and usability.","year":2013,"url":"http://doi.org/10.1093/molbev/mst010","authors":"Katoh K,Standley DM","journal":"Mol Biol Evol","doi":"10.1093/molbev/mst010","created_at":"2021-09-30T08:22:29.082Z","updated_at":"2021-09-30T08:22:29.082Z"}],"licence_links":[{"licence_name":"MAFFT Licence","licence_id":499,"licence_url":"https://mafft.cbrc.jp/alignment/software/license.txt","link_id":1898,"relation":"undefined"}],"grants":[{"id":5451,"fairsharing_record_id":299,"organisation_id":581,"relation":"maintains","created_at":"2021-09-30T09:27:27.917Z","updated_at":"2021-09-30T09:27:27.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":581,"name":"Computational Biology Research Center, The National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"300","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T09:02:37.648Z","metadata":{"doi":"10.25504/FAIRsharing.8sz2fa","name":"TDWG Specimen LSID Ontology","status":"deprecated","contacts":[{"contact_name":"Kim Durante","contact_email":"kimberlydurante@gmail.com"}],"homepage":"https://github.com/tdwg/ontology","citations":[],"identifier":300,"description":"The TDWG Specimen LSID Ontology was designed to represent records of specimens, and contain information specific to the specimen. Biodiversity Information Standards (TDWG) is an international not-for-profit group that develops standards and protocols for sharing biodiversity data. They have a detailed collection of vocabularies and ontologies for studies of biological organisms.","abbreviation":"TDWGSPEC","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TDWGSPEC","name":"TDWGSPEC","portal":"BioPortal"}],"deprecation_date":"2022-07-15","deprecation_reason":"This ontology has been deprecated by the TDWG."},"legacy_ids":["bsg-000985","bsg-s000985"],"name":"FAIRsharing record for: TDWG Specimen LSID Ontology","abbreviation":"TDWGSPEC","url":"https://fairsharing.org/10.25504/FAIRsharing.8sz2fa","doi":"10.25504/FAIRsharing.8sz2fa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TDWG Specimen LSID Ontology was designed to represent records of specimens, and contain information specific to the specimen. Biodiversity Information Standards (TDWG) is an international not-for-profit group that develops standards and protocols for sharing biodiversity data. They have a detailed collection of vocabularies and ontologies for studies of biological organisms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12119}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Biodiversity"],"domains":["Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"307","type":"fairsharing_records","attributes":{"created_at":"2015-12-22T17:23:29.000Z","updated_at":"2023-07-11T09:46:17.300Z","metadata":{"doi":"10.25504/FAIRsharing.rd1j6t","name":"Brain Imaging Data Structure","status":"ready","contacts":[{"contact_name":"Chris Gorgolewski","contact_email":"krzysztof.gorgolewski@gmail.com","contact_orcid":"0000-0003-3321-7583"}],"homepage":"http://bids.neuroimaging.io","citations":[{"doi":"10.1038/sdata.2016.44","pubmed_id":27326542,"publication_id":2425}],"identifier":307,"description":"BIDS is a simple, easy to use standard for organizing and describing outputs of neuroimaging experiments.","abbreviation":"BIDS","support_links":[{"url":"https://groups.google.com/forum/#!forum/bids-discussion","name":"BIDS Discussion Forum","type":"Forum"},{"url":"https://neurostars.org/","name":"Neurostars Forum","type":"Forum"},{"url":"https://bids-specification.readthedocs.io/en/stable/","name":"BIDS Specification Documentation","type":"Help documentation"},{"url":"https://github.com/bids-standard/bids-specification/","name":"BIDS specification","type":"Github"},{"url":"https://twitter.com/BIDSstandard/","name":"@BIDSstandard","type":"Twitter"}],"year_creation":2015,"associated_tools":[{"url":"https://github.com/bids-standard/bids-validator","name":"BIDS Validator"},{"url":"https://github.com/bids-standard/BIDS2ISATab","name":"BIDS2ISATab"},{"url":"https://github.com/bids-standard/openfmri2bids","name":"openfmri2bids"},{"url":"https://github.com/bids-standard/bidsutils/tree/master/BIDSto3col","name":"BIDSto3col"},{"url":"https://github.com/aces/EEG2BIDS","name":"EEG2BIDS"},{"url":"https://github.com/Donders-Institute/bidscoin","name":"BIDScoin"},{"url":"https://github.com/rordenlab/dcm2niix","name":"dcm2niix"}]},"legacy_ids":["bsg-000634","bsg-s000634"],"name":"FAIRsharing record for: Brain Imaging Data Structure","abbreviation":"BIDS","url":"https://fairsharing.org/10.25504/FAIRsharing.rd1j6t","doi":"10.25504/FAIRsharing.rd1j6t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BIDS is a simple, easy to use standard for organizing and describing outputs of neuroimaging experiments.","linked_records":[],"linking_records":[{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12386},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16896}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Cognitive Neuroscience"],"domains":["Microscopy","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["Canada","France","Germany","Sweden","United Kingdom","United States"],"publications":[{"id":793,"pubmed_id":null,"title":"EEG-BIDS, an extension to the brain imaging data structure for electroencephalography","year":2019,"url":"https://doi.org/10.1038/s41597-019-0104-8","authors":"Cyril R. Pernet, Stefan Appelhoff, Krzysztof J. Gorgolewski, Guillaume Flandin, Christophe Phillips, Arnaud Delorme \u0026 Robert Oostenveld","journal":"Scientific Datavolume","doi":"10.1038/s41597-019-0104-8","created_at":"2021-09-30T08:23:47.403Z","updated_at":"2021-09-30T08:23:47.403Z"},{"id":2087,"pubmed_id":null,"title":"iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology","year":2019,"url":"https://doi.org/10.1038/s41597-019-0105-7","authors":"Christopher Holdgraf, Stefan Appelhoff, Stephan Bickel, Kristofer Bouchard, Sasha D’Ambrosio, Olivier David, Orrin Devinsky, Benjamin Dichter, Adeen Flinker, Brett L. Foster, Krzysztof J. Gorgolewski, Iris Groen, David Groppe, Aysegul Gunduz, Liberty Hamilton, Christopher J. Honey, Mainak Jas, Robert Knight, Jean-Philippe Lachaux, Jonathan C. Lau, Christopher Lee-Messer, Brian N. Lundstrom, Kai J. Miller, Jeffrey G. Ojemann, Robert Oostenveld, Natalia Petridou, Gio Piantoni, Andrea Pigorini, Nader Pouratian, Nick F. Ramsey, Arjen Stolk, Nicole C. Swann, François Tadel, Bradley Voytek, Brian A. Wandell, Jonathan Winawer, Kirstie Whitaker, Lyuba Zehl \u0026 Dora Hermes","journal":"Scientific Data","doi":"10.1038/s41597-019-0105-7","created_at":"2021-09-30T08:26:15.256Z","updated_at":"2021-09-30T08:26:15.256Z"},{"id":2326,"pubmed_id":28278228,"title":"BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.","year":2017,"url":"http://doi.org/10.1371/journal.pcbi.1005209","authors":"Gorgolewski KJ,Alfaro-Almagro F,Auer T,Bellec P,Capota M,Chakravarty MM,Churchill NW,Cohen AL,Craddock RC,Devenyi GA,Eklund A,Esteban O,Flandin G,Ghosh SS,Guntupalli JS,Jenkinson M,Keshavan A,Kiar G,Liem F,Raamana PR,Raffelt D,Steele CJ,Quirion PO,Smith RE,Strother SC,Varoquaux G,Wang Y,Yarkoni T,Poldrack RA","journal":"PLoS Comput Biol","doi":"10.1371/journal.pcbi.1005209","created_at":"2021-09-30T08:26:45.560Z","updated_at":"2021-09-30T08:26:45.560Z"},{"id":2425,"pubmed_id":27326542,"title":"The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.44","authors":"Gorgolewski KJ,Auer T,Calhoun VD,Craddock RC,Das S,Duff EP,Flandin G,Ghosh SS,Glatard T,Halchenko YO,Handwerker DA,Hanke M,Keator D,Li X,Michael Z,Maumet C,Nichols BN,Nichols TE,Pellman J,Poline JB,Rokem A,Schaefer G,Sochat V,Triplett W,Turner JA,Varoquaux G,Poldrack RA","journal":"Sci Data","doi":"10.1038/sdata.2016.44","created_at":"2021-09-30T08:26:57.597Z","updated_at":"2021-09-30T08:26:57.597Z"},{"id":2429,"pubmed_id":29917016,"title":"MEG-BIDS, the brain imaging data structure extended to magnetoencephalography.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.110","authors":"Niso G,Gorgolewski KJ,Bock E,Brooks TL,Flandin G,Gramfort A,Henson RN,Jas M,Litvak V,T Moreau J,Oostenveld R,Schoffelen JM,Tadel F,Wexler J,Baillet S","journal":"Sci Data","doi":"10.1038/sdata.2018.110","created_at":"2021-09-30T08:26:58.061Z","updated_at":"2021-09-30T08:26:58.061Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2865,"relation":"applies_to_content"}],"grants":[{"id":9901,"fairsharing_record_id":307,"organisation_id":3703,"relation":"maintains","created_at":"2022-09-21T10:28:19.647Z","updated_at":"2022-09-21T10:28:19.647Z","grant_id":null,"is_lead":true,"saved_state":{"id":3703,"name":"BIDS Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9903,"fairsharing_record_id":307,"organisation_id":2071,"relation":"funds","created_at":"2022-09-21T10:28:19.687Z","updated_at":"2022-09-21T10:28:19.687Z","grant_id":1897,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"OAC-1760950","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9902,"fairsharing_record_id":307,"organisation_id":2022,"relation":"funds","created_at":"2022-09-21T10:28:19.648Z","updated_at":"2022-09-21T10:28:19.648Z","grant_id":1901,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health","grant":"R24MH114705","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9904,"fairsharing_record_id":307,"organisation_id":1321,"relation":"funds","created_at":"2022-09-21T10:28:19.690Z","updated_at":"2022-09-21T10:28:19.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":9905,"fairsharing_record_id":307,"organisation_id":1689,"relation":"funds","created_at":"2022-09-21T10:28:19.777Z","updated_at":"2022-09-21T10:28:19.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":1689,"name":"Laura and John Arnold Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcU1CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d527d7827343dce1b23ad71809612cea4ae9fb69/800px-BIDS_Logo.png?disposition=inline","exhaustive_licences":false}},{"id":"308","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T17:35:44.000Z","updated_at":"2022-04-11T12:07:19.935Z","metadata":{"doi":"10.25504/FAIRsharing.e729c4","name":"RNA Markup Language","status":"ready","contacts":[{"contact_name":"François Major","contact_email":"major@iro.umontreal.ca","contact_orcid":"0000-0003-1743-0480"}],"homepage":"http://www-lbit.iro.umontreal.ca/rnaml/","identifier":308,"description":"RNAML syntax was designed to facilitate the interoperation of multiple RNA informatics programs and to exchange basic RNA molecular information.","abbreviation":"RNAML","year_creation":2002},"legacy_ids":["bsg-001585","bsg-s001585"],"name":"FAIRsharing record for: RNA Markup Language","abbreviation":"RNAML","url":"https://fairsharing.org/10.25504/FAIRsharing.e729c4","doi":"10.25504/FAIRsharing.e729c4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAML syntax was designed to facilitate the interoperation of multiple RNA informatics programs and to exchange basic RNA molecular information.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12134}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","France","United States"],"publications":[{"id":109,"pubmed_id":12088144,"title":"RNAML: a standard syntax for exchanging RNA information.","year":2002,"url":"http://doi.org/10.1017/s1355838202028017","authors":"Waugh A,Gendron P,Altman R,Brown JW,Case D,Gautheret D,Harvey SC,Leontis N,Westbrook J,Westhof E,Zuker M,Major F","journal":"RNA","doi":"10.1017/s1355838202028017","created_at":"2021-09-30T08:22:32.089Z","updated_at":"2021-09-30T08:22:32.089Z"}],"licence_links":[],"grants":[{"id":5459,"fairsharing_record_id":308,"organisation_id":3102,"relation":"maintains","created_at":"2021-09-30T09:27:28.233Z","updated_at":"2021-09-30T09:27:28.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":3102,"name":"University of Montreal, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5460,"fairsharing_record_id":308,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:28.265Z","updated_at":"2021-09-30T09:32:35.187Z","grant_id":1686,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"LM06244","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5458,"fairsharing_record_id":308,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:28.196Z","updated_at":"2021-09-30T09:31:47.668Z","grant_id":1329,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-9600637","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9180,"fairsharing_record_id":308,"organisation_id":359,"relation":"funds","created_at":"2022-04-11T12:07:19.925Z","updated_at":"2022-04-11T12:07:19.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"310","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:12:08.000Z","updated_at":"2022-12-14T08:23:07.294Z","metadata":{"doi":"10.25504/FAIRsharing.W6zGvD","name":"Universal Worker Service Pattern","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://ivoa.net/documents/UWS/index.html","citations":[{"publication_id":2953}],"identifier":310,"description":"The Universal Worker Service (UWS) pattern defines how to manage asynchronous execution of jobs on a service. Any application of the pattern defines a family of related services with a common service contract. Possible uses of the pattern are also described.","abbreviation":"UWS","support_links":[{"url":"http://ivoa.net/documents/UWS/20161024/REC-UWS-1.1-20161024.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/AsynchronousHome","name":"UWS Wiki","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001193","bsg-s001193"],"name":"FAIRsharing record for: Universal Worker Service Pattern","abbreviation":"UWS","url":"https://fairsharing.org/10.25504/FAIRsharing.W6zGvD","doi":"10.25504/FAIRsharing.W6zGvD","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Universal Worker Service (UWS) pattern defines how to manage asynchronous execution of jobs on a service. Any application of the pattern defines a family of related services with a common service contract. Possible uses of the pattern are also described.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11455}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2953,"pubmed_id":null,"title":"Universal Worker Service Pattern Version 1.1","year":2016,"url":"http://dx.doi.org/10.5479/ADS/bib/2016ivoa.spec.1024H","authors":"Harrison, P. A.; Rixon, G.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.933Z","updated_at":"2021-09-30T08:28:03.933Z"}],"licence_links":[],"grants":[{"id":5462,"fairsharing_record_id":310,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:27:28.314Z","updated_at":"2021-09-30T09:27:28.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5461,"fairsharing_record_id":310,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:28.289Z","updated_at":"2021-09-30T09:27:28.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"311","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-20T09:06:25.371Z","metadata":{"doi":"10.25504/FAIRsharing.rbpqg","name":"PGxO","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"adrien.coulet@loria.fr"}],"homepage":"https://pgxo.loria.fr","citations":[],"identifier":311,"description":"PGxO is a lightweight and simple Pharmacogenomic Ontology to reconcile and trace knowledge in pharmacogenomics (PGx).","abbreviation":"PGXO","support_links":[{"url":"https://github.com/practikpharma/PGxO","name":"PGxO GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PGXO","name":"PGXO","portal":"BioPortal"}]},"legacy_ids":["bsg-000989","bsg-s000989"],"name":"FAIRsharing record for: PGxO","abbreviation":"PGXO","url":"https://fairsharing.org/10.25504/FAIRsharing.rbpqg","doi":"10.25504/FAIRsharing.rbpqg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PGxO is a lightweight and simple Pharmacogenomic Ontology to reconcile and trace knowledge in pharmacogenomics (PGx).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacogenomics"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3478,"pubmed_id":null,"title":"PGxO and PGxLOD: a reconciliation of pharmacogenomic knowledge of various provenances, enabling further comparison","year":2019,"url":"http://dx.doi.org/10.1186/s12859-019-2693-9","authors":"Monnin, Pierre; Legrand, Joël; Husson, Graziella; Ringot, Patrice; Tchechmedjiev, Andon; Jonquet, Clément; Napoli, Amedeo; Coulet, Adrien; ","journal":"BMC Bioinformatics","doi":"10.1186/s12859-019-2693-9","created_at":"2022-07-15T21:45:20.014Z","updated_at":"2022-07-15T21:45:20.014Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2732,"relation":"applies_to_content"}],"grants":[{"id":9680,"fairsharing_record_id":311,"organisation_id":2981,"relation":"maintains","created_at":"2022-07-15T21:46:36.536Z","updated_at":"2022-07-15T21:46:36.536Z","grant_id":null,"is_lead":true,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"312","type":"fairsharing_records","attributes":{"created_at":"2018-07-26T10:13:47.000Z","updated_at":"2024-05-21T08:20:13.211Z","metadata":{"name":"Blood Ontology","status":"deprecated","contacts":[{"contact_name":"BLO consortium","contact_email":"mba@eci.ufmg.br"}],"homepage":"https://mba.eci.ufmg.br/BLO/","citations":[],"identifier":312,"description":"The Blood Ontology is a set of co-related ontologies being created to gather and represent data about blood according to well-founded ontological principles.","abbreviation":"BLO","year_creation":2011,"deprecation_date":"2024-05-21","deprecation_reason":"Although this resource has a homepage, it has no released ontology file and does not seem active. Please get in touch with us if you have more information about this resource."},"legacy_ids":["bsg-001229","bsg-s001229"],"name":"FAIRsharing record for: Blood Ontology","abbreviation":"BLO","url":"https://fairsharing.org/fairsharing_records/312","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Blood Ontology is a set of co-related ontologies being created to gather and represent data about blood according to well-founded ontological principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Blood"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Brazil"],"publications":[],"licence_links":[],"grants":[{"id":5463,"fairsharing_record_id":312,"organisation_id":1776,"relation":"maintains","created_at":"2021-09-30T09:27:28.340Z","updated_at":"2024-05-21T08:19:02.844Z","grant_id":null,"is_lead":true,"saved_state":{"id":1776,"name":"Mauricio B. Almeida lab, Federal University of Minas Gerais","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":11772,"fairsharing_record_id":312,"organisation_id":3025,"relation":"collaborates_on","created_at":"2024-05-10T08:43:16.035Z","updated_at":"2024-05-10T08:43:16.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"313","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:09.403Z","metadata":{"doi":"10.25504/FAIRsharing.ypfgeq","name":"Translational Medicine Ontology","status":"ready","contacts":[{"contact_email":"tmo-administration@googlegroups.com"}],"homepage":"https://www.w3.org/wiki/HCLSIG/PharmaOntology/Ontology","identifier":313,"description":"This project focuses on the development of a high level patient-centric ontology for the pharmaceutical industry. The ontology should enable silos in discovery research, hypothesis management, experimental studies, compounds, formulation, drug development, market size, competitive data, population data, etc. to be brought together. This would enable scientists to answer new questions, and to answer existing scientific questions more quickly. This will help pharmaceutical companies to model patient-centric information, which is essential for the tailoring of drugs, and for early detection of compounds that may have sub-optimal safety profiles. The ontology should link to existing publicly available domain ontologies.","abbreviation":"TMO","support_links":[{"url":"https://code.google.com/archive/p/translationalmedicineontology/","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TMO","name":"TMO","portal":"BioPortal"}]},"legacy_ids":["bsg-002660","bsg-s002660"],"name":"FAIRsharing record for: Translational Medicine Ontology","abbreviation":"TMO","url":"https://fairsharing.org/10.25504/FAIRsharing.ypfgeq","doi":"10.25504/FAIRsharing.ypfgeq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This project focuses on the development of a high level patient-centric ontology for the pharmaceutical industry. The ontology should enable silos in discovery research, hypothesis management, experimental studies, compounds, formulation, drug development, market size, competitive data, population data, etc. to be brought together. This would enable scientists to answer new questions, and to answer existing scientific questions more quickly. This will help pharmaceutical companies to model patient-centric information, which is essential for the tailoring of drugs, and for early detection of compounds that may have sub-optimal safety profiles. The ontology should link to existing publicly available domain ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12461}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Drug Development","Biomedical Science","Translational Medicine"],"domains":["Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Germany","Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":514,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":515,"relation":"undefined"}],"grants":[{"id":5465,"fairsharing_record_id":313,"organisation_id":2860,"relation":"maintains","created_at":"2021-09-30T09:27:28.390Z","updated_at":"2021-09-30T09:27:28.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":2860,"name":"TMO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5464,"fairsharing_record_id":313,"organisation_id":3207,"relation":"maintains","created_at":"2021-09-30T09:27:28.364Z","updated_at":"2021-09-30T09:27:28.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":3207,"name":"W3C Semantic Web for Health Care and Life Sciences Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5466,"fairsharing_record_id":313,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:27:28.414Z","updated_at":"2021-09-30T09:27:28.414Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"322","type":"fairsharing_records","attributes":{"created_at":"2018-10-22T21:56:18.000Z","updated_at":"2022-07-29T15:01:32.115Z","metadata":{"doi":"10.25504/FAIRsharing.123197","name":"OpenAIRE Guidelines for Data Archives","status":"ready","homepage":"https://guidelines.openaire.eu/en/latest/data/index.html","citations":[],"identifier":322,"description":"The OpenAIRE Guidelines for Data Archive provides instruction for data archive managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. The metadata from data archives should be included in the OpenAIRE information space, and exposed when data are related to an open access publication e.g. a dataset cited by an article.","abbreviation":null,"support_links":[{"url":"https://zenodo.org/record/6918#.XfjahjJKhQJ","name":"OpenAIRE Guidelines for Data Archive Managers v1.0","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001332","bsg-s001332"],"name":"FAIRsharing record for: OpenAIRE Guidelines for Data Archives","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.123197","doi":"10.25504/FAIRsharing.123197","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OpenAIRE Guidelines for Data Archive provides instruction for data archive managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. The metadata from data archives should be included in the OpenAIRE information space, and exposed when data are related to an open access publication e.g. a dataset cited by an article.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12949},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13346},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13368},{"linking_record_name":"Mapping CDC to OpenAIRE, B2find, schema.org and Dublin Core","linking_record_id":3646,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13371}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Resource metadata","Publication","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":974,"relation":"undefined"}],"grants":[{"id":9711,"fairsharing_record_id":322,"organisation_id":2252,"relation":"maintains","created_at":"2022-07-29T13:02:15.621Z","updated_at":"2022-07-29T13:02:15.621Z","grant_id":null,"is_lead":true,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5482,"fairsharing_record_id":322,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:28.829Z","updated_at":"2021-09-30T09:27:28.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"323","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:28:57.284Z","metadata":{"doi":"10.25504/FAIRsharing.9c2azc","name":"OBO ReLationship","status":"deprecated","contacts":[{"contact_email":"cjmungall@lbl.gov"}],"homepage":"http://purl.bioontology.org/ontology/OBO_REL","citations":[],"identifier":323,"description":"This record describes the original relations ontology (ID space \"OBO_REL\"), which was a direct translation of the 2005 RO paper into OBO format. It suffered a number of problems, such as lack of clarity in the semantics of class level relations. The OBO Relations Ontology (RO) has replaced this resource, and a description of how the two resources differ can be found at https://github.com/oborel/obo-relations/wiki/DifferencesWithOldRO.","abbreviation":"OBO_REL","support_links":[{"url":"https://github.com/oborel/obo-relations/","type":"Github"}],"year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBOREL","name":"OBOREL","portal":"BioPortal"}],"deprecation_date":"2016-03-22","deprecation_reason":"This resource is obsolete and has been replaced by the OBO Relations Ontology (https://biosharing.org/bsg-000644)."},"legacy_ids":["bsg-000144","bsg-s000144"],"name":"FAIRsharing record for: OBO ReLationship","abbreviation":"OBO_REL","url":"https://fairsharing.org/10.25504/FAIRsharing.9c2azc","doi":"10.25504/FAIRsharing.9c2azc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This record describes the original relations ontology (ID space \"OBO_REL\"), which was a direct translation of the 2005 RO paper into OBO format. It suffered a number of problems, such as lack of clarity in the semantics of class level relations. The OBO Relations Ontology (RO) has replaced this resource, and a description of how the two resources differ can be found at https://github.com/oborel/obo-relations/wiki/DifferencesWithOldRO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Relations"],"countries":["United States"],"publications":[{"id":979,"pubmed_id":15892874,"title":"Relations in biomedical ontologies.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r46","authors":"Smith B,Ceusters W,Klagges B,Kohler J,Kumar A,Lomax J,Mungall C,Neuhaus F,Rector AL,Rosse C","journal":"Genome Biol","doi":"10.1186/gb-2005-6-5-r46","created_at":"2021-09-30T08:24:08.346Z","updated_at":"2021-09-30T08:24:08.346Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"324","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T08:55:01.211Z","metadata":{"doi":"10.25504/FAIRsharing.9d08ks","name":"NeuroMorpho.Org brain region ontologies","status":"ready","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/NMOBR","citations":[],"identifier":324,"description":"The NeuroMorpho.Org brain region ontologies adopts and integrates relevant portions of available taxonomies (or lineages) \"as needed\" based on the existing knowledge that is openly accessible. For standardization purposes, cell types and other experimental metadata hierarchies are also added to OntoSearch v2.0. Concepts with insufficient knowledge are not classified as hierarchies, such as molecular, firing, and \"other\" unclassifiable properties of cell types. The species, brain regions and cell types are integrated into a single ontology for enabling OntoSearch functionality to mine NeuroMorpho.Org.","abbreviation":"NMOBR","support_links":[{"url":"https://neuromorpho.org/myfaq.jsp?id=qb15#QS2","name":"General Information about the ontology and OntoSearch","type":"Help documentation"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NMOBR","name":"NMOBR","portal":"BioPortal"}]},"legacy_ids":["bsg-000879","bsg-s000879"],"name":"FAIRsharing record for: NeuroMorpho.Org brain region ontologies","abbreviation":"NMOBR","url":"https://fairsharing.org/10.25504/FAIRsharing.9d08ks","doi":"10.25504/FAIRsharing.9d08ks","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NeuroMorpho.Org brain region ontologies adopts and integrates relevant portions of available taxonomies (or lineages) \"as needed\" based on the existing knowledge that is openly accessible. For standardization purposes, cell types and other experimental metadata hierarchies are also added to OntoSearch v2.0. Concepts with insufficient knowledge are not classified as hierarchies, such as molecular, firing, and \"other\" unclassifiable properties of cell types. The species, brain regions and cell types are integrated into a single ontology for enabling OntoSearch functionality to mine NeuroMorpho.Org.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Neuroscience","Neuroscience"],"domains":[],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NeuroMorpho Terms of Use","licence_id":572,"licence_url":"http://neuromorpho.org/useterm.jsp","link_id":2736,"relation":"applies_to_content"}],"grants":[{"id":9682,"fairsharing_record_id":324,"organisation_id":1648,"relation":"maintains","created_at":"2022-07-20T07:22:23.375Z","updated_at":"2022-07-20T07:22:23.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":1648,"name":"Krasnow Institute for Advanced Study, Fairfax, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9684,"fairsharing_record_id":324,"organisation_id":2045,"relation":"funds","created_at":"2022-07-20T07:22:23.420Z","updated_at":"2022-07-20T07:22:23.420Z","grant_id":543,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"R01 NS39600","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9686,"fairsharing_record_id":324,"organisation_id":2229,"relation":"funds","created_at":"2022-07-20T07:22:23.460Z","updated_at":"2022-07-20T07:22:23.460Z","grant_id":254,"is_lead":false,"saved_state":{"id":2229,"name":"Office of Naval Research","grant":"ONR MURI N00014-10-1-0198","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9689,"fairsharing_record_id":324,"organisation_id":2806,"relation":"funds","created_at":"2022-07-20T07:22:23.500Z","updated_at":"2022-07-20T07:22:23.500Z","grant_id":955,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","grant":"Keck NAKFI","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9683,"fairsharing_record_id":324,"organisation_id":1128,"relation":"maintains","created_at":"2022-07-20T07:22:23.383Z","updated_at":"2022-07-20T07:22:23.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":1128,"name":"George Mason University, Fairfax, VA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9685,"fairsharing_record_id":324,"organisation_id":2045,"relation":"funds","created_at":"2022-07-20T07:22:23.424Z","updated_at":"2022-07-20T07:22:23.424Z","grant_id":1486,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"R01 NS086082","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9688,"fairsharing_record_id":324,"organisation_id":2806,"relation":"maintains","created_at":"2022-07-20T07:22:23.469Z","updated_at":"2022-07-20T07:22:23.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9687,"fairsharing_record_id":324,"organisation_id":2071,"relation":"funds","created_at":"2022-07-20T07:22:23.466Z","updated_at":"2022-07-20T07:22:23.466Z","grant_id":1738,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"NSF DBI 1546335 (BRAIN EAGER)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"325","type":"fairsharing_records","attributes":{"created_at":"2017-07-26T14:01:57.000Z","updated_at":"2024-05-20T08:31:41.911Z","metadata":{"doi":"10.25504/FAIRsharing.w4g3sj","name":"Space Physics Archive Search and Extract Data Model","status":"ready","contacts":[{"contact_name":"Metadata Working Group Contact","contact_email":"vxo-spase-smwg@googlegroups.com"}],"homepage":"http://www.spase-group.org/data/","identifier":325,"description":"An exclusive set of resource types which can be used to describe all the resources in a heliophysics data environment, the data along with its scientific context, source, provenance, content and location. It is designed to support a federated data system where data may reside at different locations and may be seperated from the metadata which describes it. While the data model is neutral on how to it may be expressed, the preferred expression form is XML","abbreviation":"SPASE Data Model","support_links":[{"url":"spase@listserv.gsfc.nasa.gov","name":"Mailing list","type":"Mailing list"},{"url":"http://www.spase-group.org/school/","name":"SPASE Tutorials","type":"Training documentation"},{"url":"https://twitter.com/SPASEOutreach","name":"Twitter","type":"Twitter"}],"year_creation":2005},"legacy_ids":["bsg-000714","bsg-s000714"],"name":"FAIRsharing record for: Space Physics Archive Search and Extract Data Model","abbreviation":"SPASE Data Model","url":"https://fairsharing.org/10.25504/FAIRsharing.w4g3sj","doi":"10.25504/FAIRsharing.w4g3sj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An exclusive set of resource types which can be used to describe all the resources in a heliophysics data environment, the data along with its scientific context, source, provenance, content and location. It is designed to support a federated data system where data may reside at different locations and may be seperated from the metadata which describes it. While the data model is neutral on how to it may be expressed, the preferred expression form is XML","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13320},{"linking_record_name":"International Heliophysics Data Environment Alliance","linking_record_id":5484,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19836}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Resource metadata","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5484,"fairsharing_record_id":325,"organisation_id":2606,"relation":"maintains","created_at":"2021-09-30T09:27:28.909Z","updated_at":"2021-09-30T09:27:28.909Z","grant_id":null,"is_lead":true,"saved_state":{"id":2606,"name":"Space Physics Archive Search and Extract (SPASE) Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"328","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:12:26.000Z","updated_at":"2024-03-21T16:13:44.220Z","metadata":{"doi":"10.25504/FAIRsharing.2Rk97G","name":"IDG Peptide Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":328,"description":"Peptide probe reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001226","bsg-s001226"],"name":"FAIRsharing record for: IDG Peptide Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2Rk97G","doi":"10.25504/FAIRsharing.2Rk97G","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Peptide probe reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11701}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11560,"fairsharing_record_id":328,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.015Z","updated_at":"2024-03-21T13:58:57.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11617,"fairsharing_record_id":328,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:10:06.662Z","updated_at":"2024-03-21T16:10:06.662Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZzhFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--81d6af631121313baed3ddac143f1846c72b8739/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"301","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:08.248Z","metadata":{"doi":"10.25504/FAIRsharing.21d998","name":"European Data Format","status":"ready","contacts":[{"contact_name":"Diego Alvarez-Estevez","contact_email":"diego.alvareze@udc.es"}],"homepage":"http://www.edfplus.info/specs/edf.html","identifier":301,"description":"The European Data Format (EDF) is a simple and flexible format for exchange and storage of multichannel biological and physical signals. More information http://www.edfplus.info","abbreviation":"EDF","support_links":[{"url":"http://www.edfplus.info/specs/edffaq.html","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1991,"associated_tools":[{"url":"http://www.edfplus.info/downloads/index.html","name":"Polyman"}]},"legacy_ids":["bsg-000528","bsg-s000528"],"name":"FAIRsharing record for: European Data Format","abbreviation":"EDF","url":"https://fairsharing.org/10.25504/FAIRsharing.21d998","doi":"10.25504/FAIRsharing.21d998","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Data Format (EDF) is a simple and flexible format for exchange and storage of multichannel biological and physical signals. More information http://www.edfplus.info","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16946}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology","Life Science","Electrophysiology"],"domains":["Polysomnography"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":254,"pubmed_id":1374708,"title":"A simple format for exchange of digitized polygraphic recordings.","year":1992,"url":"http://doi.org/10.1016/0013-4694(92)90009-7","authors":"Kemp B, Värri A, Rosa AC, Nielsen KD, Gade J.","journal":"Electroencephalogr Clin Neurophysiol.","doi":"10.1016/0013-4694(92)90009-7","created_at":"2021-09-30T08:22:47.440Z","updated_at":"2021-09-30T08:22:47.440Z"},{"id":1379,"pubmed_id":12948806,"title":"European data format 'plus' (EDF+), an EDF alike standard format for the exchange of physiological data.","year":2003,"url":"http://doi.org/10.1016/s1388-2457(03)00123-8","authors":"Kemp B,Olivan J","journal":"Clin Neurophysiol","doi":"10.1016/s1388-2457(03)00123-8","created_at":"2021-09-30T08:24:54.226Z","updated_at":"2021-09-30T08:24:54.226Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"302","type":"fairsharing_records","attributes":{"created_at":"2018-11-09T15:50:55.000Z","updated_at":"2021-11-24T13:18:33.108Z","metadata":{"doi":"10.25504/FAIRsharing.ZFdYEf","name":"biotracks","status":"ready","contacts":[{"contact_name":"Alejandra Gonzalez-Beltran","contact_email":"alejandra.gonzalez.beltran@gmail.com","contact_orcid":"0000-0003-3499-8262"}],"homepage":"https://github.com/CellMigStandOrg/biotracks","identifier":302,"description":"Biotracks provides a standard format for cell migration tracking files and a series of converters from popular tracking sofware packages to the biotracks format, which is a specialization of the Frictionless Tabular Data Package .","abbreviation":"biotracks","year_creation":2017},"legacy_ids":["bsg-001335","bsg-s001335"],"name":"FAIRsharing record for: biotracks","abbreviation":"biotracks","url":"https://fairsharing.org/10.25504/FAIRsharing.ZFdYEf","doi":"10.25504/FAIRsharing.ZFdYEf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biotracks provides a standard format for cell migration tracking files and a series of converters from popular tracking sofware packages to the biotracks format, which is a specialization of the Frictionless Tabular Data Package .","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10889}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Cell migration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5452,"fairsharing_record_id":302,"organisation_id":396,"relation":"maintains","created_at":"2021-09-30T09:27:27.953Z","updated_at":"2021-09-30T09:27:27.953Z","grant_id":null,"is_lead":true,"saved_state":{"id":396,"name":"Cell Migration Standardisation Organisation (CMSO) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"303","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T09:01:24.460Z","metadata":{"doi":"10.25504/FAIRsharing.r41qhx","name":"Unified phenotype ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"},{"contact_name":"Nicole Vasilevsky","contact_email":"vasilevs@ohsu.edu","contact_orcid":null}],"homepage":"https://github.com/obophenotype/upheno","citations":[],"identifier":303,"description":"The uPheno ontology integrates multiple phenotype ontologies into a unified cross-species phenotype ontology. Version 2 is the active release of the ontology, while version 1 should be considered deprecated. ","abbreviation":"UPHENO","support_links":[],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UPHENO","name":"UPHENO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/upheno","name":"uPheno (OLS)","portal":"OLS"},{"url":"https://obofoundry.org/ontology/upheno.html","name":"uPheno (OBO Foundry)","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000984","bsg-s000984"],"name":"FAIRsharing record for: Unified phenotype ontology","abbreviation":"UPHENO","url":"https://fairsharing.org/10.25504/FAIRsharing.r41qhx","doi":"10.25504/FAIRsharing.r41qhx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The uPheno ontology integrates multiple phenotype ontologies into a unified cross-species phenotype ontology. Version 2 is the active release of the ontology, while version 1 should be considered deprecated. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Evolutionary Biology","Phenomics"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2730,"relation":"applies_to_content"}],"grants":[{"id":9676,"fairsharing_record_id":303,"organisation_id":3596,"relation":"maintains","created_at":"2022-07-15T14:02:27.006Z","updated_at":"2022-07-15T14:02:27.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":3596,"name":"Translational and Integrative Science Lab (TIS Lab), University of Colorado School of Medicine","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa01CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3f5258d2bcf30a7e127b5a9fe209b27e25e88883/up.png?disposition=inline","exhaustive_licences":false}},{"id":"304","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2021-11-24T13:17:00.202Z","metadata":{"doi":"10.25504/FAIRsharing.cakne1","name":"NIDM-Results","status":"ready","contacts":[{"contact_name":"NIDM development team","contact_email":"incf-nidash-nidm@googlegroups.com"}],"homepage":"http://nidm.nidash.org/specs/nidm-results.html","identifier":304,"description":"NIDM-Results is a data model that enable sharing neuroimaging results using a common descriptive standard across neuroimaging software. NIDM-Results focuses on mass-univariate studies and is mostly targeted at fMRI but is also suitable for anatomical MRI (with Voxel-Based Morphometry), and Positron Emission Tomography (PET). NIDM-Results packs provide a lightweight solution to share maps generated by neuroimaging studies along with their metadata. Export to NIDM-Results is natively implemented in SPM, NeuroVault and CBRAIN and a Python library is ready for integration in FSL. NeuroVault additionally can import NIDM-Results packs.","abbreviation":"NIDM-Results","support_links":[{"url":"info@incf.org","name":"INCF Contact","type":"Support email"},{"url":"camille.maumet@inria.fr","name":"Camille Maumet","type":"Support email"},{"url":"http://nidm.nidash.org/getting-started/","name":"Getting Started","type":"Help documentation"},{"url":"incf-nidash-nidm@googlegroups.com","name":"INCF NIDASH mailing list","type":"Mailing list"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIDM-RESULTS","name":"NIDM-RESULTS","portal":"BioPortal"}]},"legacy_ids":["bsg-000929","bsg-s000929"],"name":"FAIRsharing record for: NIDM-Results","abbreviation":"NIDM-Results","url":"https://fairsharing.org/10.25504/FAIRsharing.cakne1","doi":"10.25504/FAIRsharing.cakne1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIDM-Results is a data model that enable sharing neuroimaging results using a common descriptive standard across neuroimaging software. NIDM-Results focuses on mass-univariate studies and is mostly targeted at fMRI but is also suitable for anatomical MRI (with Voxel-Based Morphometry), and Positron Emission Tomography (PET). NIDM-Results packs provide a lightweight solution to share maps generated by neuroimaging studies along with their metadata. Export to NIDM-Results is natively implemented in SPM, NeuroVault and CBRAIN and a Python library is ready for integration in FSL. NeuroVault additionally can import NIDM-Results packs.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12525}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Computational Neuroscience","Neurology"],"domains":["Magnetic resonance imaging","Positron emission tomography","Functional magnetic resonance imaging","Brain","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2306,"relation":"undefined"}],"grants":[{"id":5453,"fairsharing_record_id":304,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:27:27.995Z","updated_at":"2021-09-30T09:27:27.995Z","grant_id":null,"is_lead":true,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"305","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-15T14:22:29.682Z","metadata":{"doi":"10.25504/FAIRsharing.7rmkwr","name":"Emergency care ontology","status":"deprecated","contacts":[{"contact_name":"Jean Charlet","contact_email":"Jean.Charlet@upmc.fr"}],"homepage":"https://bioportal.bioontology.org/ontologies/ONTOLURGENCES","citations":[],"identifier":305,"description":"OntolUrgences is a termino-ontological resource developed to index and retrieve information in electronic Emergency Medical Record.","abbreviation":"ONTOLURGENCES","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOLURGENCES","name":"ONTOLURGENCES","portal":"BioPortal"}],"deprecation_date":"2022-07-15","deprecation_reason":"This resource has not been updated since 2015, and no further information can be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000986","bsg-s000986"],"name":"FAIRsharing record for: Emergency care ontology","abbreviation":"ONTOLURGENCES","url":"https://fairsharing.org/10.25504/FAIRsharing.7rmkwr","doi":"10.25504/FAIRsharing.7rmkwr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntolUrgences is a termino-ontological resource developed to index and retrieve information in electronic Emergency Medical Record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3477,"pubmed_id":25160343,"title":"Describing localized diseases in medical ontology: an FMA-based algorithm.","year":2014,"url":"https://pubmed.ncbi.nlm.nih.gov/25160343","authors":"Charlet J, Mazuel L, Declerck G, Miroux P, Gayet P","journal":"Studies in health technology and informatics","doi":null,"created_at":"2022-07-15T14:15:15.250Z","updated_at":"2022-07-15T14:15:15.250Z"}],"licence_links":[],"grants":[{"id":9678,"fairsharing_record_id":305,"organisation_id":3598,"relation":"maintains","created_at":"2022-07-15T14:21:05.109Z","updated_at":"2022-07-15T14:21:05.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":3598,"name":"Assistance Publique - Hôpitaux de Paris","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"317","type":"fairsharing_records","attributes":{"created_at":"2021-05-24T17:19:41.000Z","updated_at":"2023-10-21T13:34:01.288Z","metadata":{"doi":"10.25504/FAIRsharing.f928f1","name":"Archival Resource Key Identifier","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@arks.org"}],"homepage":"https://arks.org/","citations":[],"identifier":317,"description":"Archival Resource Keys (ARKs) serve as persistent identifiers, or stable, trusted references for information objects. Among other things, they aim to be web addresses (URLs) that don’t return 404 Page Not Found errors. The ARK Alliance is an open global community supporting the ARK infrastructure on behalf of research and scholarship. End users, especially researchers, rely on ARKs for long term access to the global scientific and cultural record. Since 2001 some 8.2 billion ARKs have been created by over 1000 organizations — libraries, data centers, archives, museums, publishers, government agencies, and vendors. They identify anything digital, physical, or abstract. ARKs are open, mainstream, non-paywalled, decentralized persistent identifiers that can be created by an organization as soon as it is registered with a NAAN (Name Assigning Authority Number). Once registered, an ARK organization can create unlimited numbers of ARKs and publicize them via the n2t.net global resolver or via their own local resolver.","abbreviation":"ARK Identifier","support_links":[{"url":"https://arks.org/blog/","name":"News","type":"Blog/News"},{"url":"https://arks.org/contact-us/","name":"Contact Form","type":"Contact form"},{"url":"https://wiki.lyrasis.org/display/ARKs/ARK+Identifiers+FAQ","name":"ARK FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://arks.org/resources/","name":"Resources","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/ARKs/ARKs+in+the+Open+Project","name":"ARK Wiki Pages","type":"Help documentation"},{"url":"https://twitter.com/arks_org","name":"@arks_org","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Archival_Resource_Key","name":"ARK Wikipedia Entry","type":"Wikipedia"}],"year_creation":2001,"cross_references":[{"url":"https://bioregistry.io/registry/ark","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/ark","name":"Identifiers.org","portal":"Other"}],"regular_expression":"^(ark\\:)/*[0-9A-Za-z]+(?:/[\\w/.=*+@\\$-]*)?(?:\\?.*)?$"},"legacy_ids":["bsg-001608","bsg-s001608"],"name":"FAIRsharing record for: Archival Resource Key Identifier","abbreviation":"ARK Identifier","url":"https://fairsharing.org/10.25504/FAIRsharing.f928f1","doi":"10.25504/FAIRsharing.f928f1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Archival Resource Keys (ARKs) serve as persistent identifiers, or stable, trusted references for information objects. Among other things, they aim to be web addresses (URLs) that don’t return 404 Page Not Found errors. The ARK Alliance is an open global community supporting the ARK infrastructure on behalf of research and scholarship. End users, especially researchers, rely on ARKs for long term access to the global scientific and cultural record. Since 2001 some 8.2 billion ARKs have been created by over 1000 organizations — libraries, data centers, archives, museums, publishers, government agencies, and vendors. They identify anything digital, physical, or abstract. ARKs are open, mainstream, non-paywalled, decentralized persistent identifiers that can be created by an organization as soon as it is registered with a NAAN (Name Assigning Authority Number). Once registered, an ARK organization can create unlimited numbers of ARKs and publicize them via the n2t.net global resolver or via their own local resolver.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Data Management","Subject Agnostic"],"domains":["Data retrieval","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5474,"fairsharing_record_id":317,"organisation_id":2743,"relation":"maintains","created_at":"2021-09-30T09:27:28.614Z","updated_at":"2021-09-30T09:27:28.614Z","grant_id":null,"is_lead":true,"saved_state":{"id":2743,"name":"The ARK Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaThDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c69281eac0647c6b7a664f0932bee0d5fd27781d/gold_boat_arka.png?disposition=inline","exhaustive_licences":false}},{"id":"318","type":"fairsharing_records","attributes":{"created_at":"2017-05-08T22:06:31.000Z","updated_at":"2021-11-24T13:14:18.604Z","metadata":{"doi":"10.25504/FAIRsharing.v39er7","name":"Apollo XSD 4.0.1","status":"ready","contacts":[{"contact_name":"Michael Wagner","contact_email":"mmw1@pitt.edu","contact_orcid":"0000-0002-4437-7016"}],"homepage":"https://github.com/ApolloDev/apollo-xsd-and-types","identifier":318,"description":"This XML Schema Definition (XSD) contains types for representing infectious disease scenarios for simulation (with and without control measures); diverse kinds of information about epidemics including case count data, seroprevalence study results, infectious disease control measures, disease parameters and infection transmission parameters; and case series.","abbreviation":"Apollo XSD","year_creation":2017},"legacy_ids":["bsg-000701","bsg-s000701"],"name":"FAIRsharing record for: Apollo XSD 4.0.1","abbreviation":"Apollo XSD","url":"https://fairsharing.org/10.25504/FAIRsharing.v39er7","doi":"10.25504/FAIRsharing.v39er7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This XML Schema Definition (XSD) contains types for representing infectious disease scenarios for simulation (with and without control measures); diverse kinds of information about epidemics including case count data, seroprevalence study results, infectious disease control measures, disease parameters and infection transmission parameters; and case series.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12515}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Biomedical Science","Epidemiology"],"domains":["Infection","Disease course"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":9,"relation":"undefined"}],"grants":[{"id":5475,"fairsharing_record_id":318,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:28.640Z","updated_at":"2021-09-30T09:30:00.667Z","grant_id":511,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U24GM110707","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"319","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T15:03:02.232Z","metadata":{"doi":"10.25504/FAIRsharing.vy0p71","name":"NanoParticle Ontology","status":"ready","contacts":[{"contact_name":"Nathan Baker","contact_email":"nathan.baker@pnl.gov","contact_orcid":"0000-0002-5892-6506"}],"homepage":"http://www.nano-ontology.org","identifier":319,"description":"An ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy.","abbreviation":"NPO","support_links":[{"url":"http://www.nano-ontology.org/documentation/frequently-asked-questions","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.nano-ontology.org/documentation","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-002634","bsg-s002634"],"name":"FAIRsharing record for: NanoParticle Ontology","abbreviation":"NPO","url":"https://fairsharing.org/10.25504/FAIRsharing.vy0p71","doi":"10.25504/FAIRsharing.vy0p71","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16998}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Molecular entity","Nanoparticle","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1744,"pubmed_id":20211274,"title":"NanoParticle Ontology for cancer nanotechnology research.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.03.001","authors":"Thomas DG,Pappu RV,Baker NA","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.03.001","created_at":"2021-09-30T08:25:35.713Z","updated_at":"2021-09-30T08:25:35.713Z"}],"licence_links":[],"grants":[{"id":5478,"fairsharing_record_id":319,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:28.723Z","updated_at":"2021-09-30T09:27:28.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8335,"fairsharing_record_id":319,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:09.366Z","updated_at":"2021-09-30T09:32:09.460Z","grant_id":1493,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5476,"fairsharing_record_id":319,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:28.672Z","updated_at":"2021-09-30T09:30:35.437Z","grant_id":778,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U54 CA119342","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11855,"fairsharing_record_id":319,"organisation_id":4426,"relation":"maintains","created_at":"2024-06-27T13:55:02.805Z","updated_at":"2024-06-27T13:55:02.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":4426,"name":"Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"314","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-15T09:49:53.999Z","metadata":{"doi":"10.25504/FAIRsharing.4vr0ys","name":"Fission Yeast Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Valerie Wood","contact_email":"vw253@cam.ac.uk","contact_orcid":"0000-0001-6330-7526"}],"homepage":"http://sourceforge.net/apps/trac/pombase/wiki/FissionYeastPhenotypeOntology","citations":[],"identifier":314,"description":"FYPO is being developed to support the comprehensive and detailed representation of phenotypes in PomBase, the online fission yeast resource (www.pombase.org). Its scope is similar to that of the Ascomycete Phenotype Ontology (APO), but FYPO includes more detailed pre-composed terms as well as computable definitions.","abbreviation":"FYPO","support_links":[{"url":"helpdesk@pombase.org","name":"General Enquiries","type":"Support email"},{"url":"http://www.pombase.org/browse-curation/fission-yeast-phenotype-ontology","type":"Help documentation"},{"url":"https://curation.pombase.org/pombase-trac/wiki/FissionYeastPhenotypeOntology","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FYPO","name":"FYPO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fypo.html","name":"fypo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000291","bsg-s000291"],"name":"FAIRsharing record for: Fission Yeast Phenotype Ontology","abbreviation":"FYPO","url":"https://fairsharing.org/10.25504/FAIRsharing.4vr0ys","doi":"10.25504/FAIRsharing.4vr0ys","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FYPO is being developed to support the comprehensive and detailed representation of phenotypes in PomBase, the online fission yeast resource (www.pombase.org). Its scope is similar to that of the Ascomycete Phenotype Ontology (APO), but FYPO includes more detailed pre-composed terms as well as computable definitions.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10888}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phylogenetics","Life Science"],"domains":["Gene Ontology enrichment","Phenotype"],"taxonomies":["Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1134,"pubmed_id":23658422,"title":"FYPO: the fission yeast phenotype ontology.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt266","authors":"Harris MA,Lock A,Bahler J,Oliver SG,Wood V","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt266","created_at":"2021-09-30T08:24:25.823Z","updated_at":"2021-09-30T08:24:25.823Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1614,"relation":"undefined"}],"grants":[{"id":5468,"fairsharing_record_id":314,"organisation_id":2345,"relation":"maintains","created_at":"2021-09-30T09:27:28.464Z","updated_at":"2021-09-30T09:27:28.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":2345,"name":"Pombase","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5469,"fairsharing_record_id":314,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:28.490Z","updated_at":"2021-09-30T09:27:28.490Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5467,"fairsharing_record_id":314,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:28.440Z","updated_at":"2021-09-30T09:32:42.679Z","grant_id":1743,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT090548MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"315","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:55.178Z","metadata":{"doi":"10.25504/FAIRsharing.jj4n9f","name":"Solanaceae Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Naama Menda","contact_email":"nm249@cornell.edu","contact_orcid":"0000-0002-9117-8116"}],"homepage":"https://solgenomics.net/search/phenotypes/traits","citations":[],"identifier":315,"description":"Solanaceae crop phenotypes and traits, developed in collaboration with the research community, especially for breeder traits of agronomic importance.","abbreviation":"SPTO","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SPTO","name":"SPTO","portal":"BioPortal"}]},"legacy_ids":["bsg-002799","bsg-s002799"],"name":"FAIRsharing record for: Solanaceae Phenotype Ontology","abbreviation":"SPTO","url":"https://fairsharing.org/10.25504/FAIRsharing.jj4n9f","doi":"10.25504/FAIRsharing.jj4n9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Solanaceae crop phenotypes and traits, developed in collaboration with the research community, especially for breeder traits of agronomic importance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Genomics","Genetics","Phenomics"],"domains":["Phenotype","Genotype"],"taxonomies":["Solanaceae"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United States"],"publications":[{"id":901,"pubmed_id":18539779,"title":"A community-based annotation framework for linking solanaceae genomes with phenomes.","year":2008,"url":"http://doi.org/10.1104/pp.108.119560","authors":"Menda N,Buels RM,Tecle I,Mueller LA","journal":"Plant Physiol","doi":"10.1104/pp.108.119560","created_at":"2021-09-30T08:23:59.537Z","updated_at":"2021-09-30T08:23:59.537Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":340,"relation":"undefined"}],"grants":[{"id":5471,"fairsharing_record_id":315,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:28.540Z","updated_at":"2021-09-30T09:30:20.880Z","grant_id":668,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"2007–02777","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5472,"fairsharing_record_id":315,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:27:28.565Z","updated_at":"2021-09-30T09:27:28.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5470,"fairsharing_record_id":315,"organisation_id":3172,"relation":"funds","created_at":"2021-09-30T09:27:28.514Z","updated_at":"2021-09-30T09:29:21.694Z","grant_id":212,"is_lead":false,"saved_state":{"id":3172,"name":"US-Israel Binational Agriculture Research and Development Fund (BARD)","grant":"FI–370–2005","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"316","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2021-11-24T13:13:51.237Z","metadata":{"doi":"10.25504/FAIRsharing.qdcgfc","name":"Ontology of Pneumology","status":"uncertain","contacts":[{"contact_name":"Jean Charlet","contact_email":"jean.charlet@upmc.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOPNEUMO","identifier":316,"description":"OntoPneumo is an ontology for describing pneumology (french version). Their goal is to use natural language within the ontology to express the meaning of each concept using differential principles inherited from Differential Semantics theory. OntoPneumo is used in software for pneumologists that represents medical knowledge to describe the medical diagnoses in the form of graphs and to propose the proper French DRG (Diagnosis Related Group) code.","abbreviation":"OntoPneumo","support_links":[{"url":"Audrey.Baneyx@spim.jussieu.fr","name":"Audrey Baneyx","type":"Support email"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOPNEUMO","name":"ONTOPNEUMO","portal":"BioPortal"}]},"legacy_ids":["bsg-000927","bsg-s000927"],"name":"FAIRsharing record for: Ontology of Pneumology","abbreviation":"OntoPneumo","url":"https://fairsharing.org/10.25504/FAIRsharing.qdcgfc","doi":"10.25504/FAIRsharing.qdcgfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoPneumo is an ontology for describing pneumology (french version). Their goal is to use natural language within the ontology to express the meaning of each concept using differential principles inherited from Differential Semantics theory. OntoPneumo is used in software for pneumologists that represents medical knowledge to describe the medical diagnoses in the form of graphs and to propose the proper French DRG (Diagnosis Related Group) code.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":["Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":956,"pubmed_id":null,"title":"OntoPneumo: An ontology of pneumology domain","year":2008,"url":"http://doi.org/10.3233/AO-2008-0056","authors":"Baneyx, Audrey; Charlet, Jean","journal":"Applied Ontology, vol. 3, no. 4, pp. 229-233","doi":"10.3233/AO-2008-0056","created_at":"2021-09-30T08:24:05.747Z","updated_at":"2021-09-30T08:24:05.747Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.0 UK: England \u0026 Wales (CC BY-NC-ND 2.0 UK)","licence_id":174,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.0/uk/","link_id":1285,"relation":"undefined"}],"grants":[{"id":5473,"fairsharing_record_id":316,"organisation_id":2595,"relation":"maintains","created_at":"2021-09-30T09:27:28.590Z","updated_at":"2021-09-30T09:27:28.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":2595,"name":"Sorbonne University, Paris, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"320","type":"fairsharing_records","attributes":{"created_at":"2016-03-22T12:06:52.000Z","updated_at":"2022-07-20T11:56:34.145Z","metadata":{"doi":"10.25504/FAIRsharing.9w8ea0","name":"OBO Relations Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":"0000-0002-6601-2165"}],"homepage":"https://github.com/oborel/obo-relations/","identifier":320,"description":"RO is a collection of relations intended primarily for standardization across ontologies in the OBO Foundry and wider OBO library. It incorporates ROCore upper-level relations such as part of as well as biology-specific relationship types such as develops from. The predecessor of RO was OBO_REL. Many of the relations in OBO_REL have been ceded to BFO.","abbreviation":"RO","support_links":[{"url":"https://github.com/oborel/obo-relations/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://lists.sourceforge.net/lists/listinfo/obo-relations","name":"Mailing list","type":"Mailing list"},{"url":"https://github.com/oborel/obo-relations/wiki/DifferencesWithOldRO","name":"Differences with Previous Versions","type":"Github"},{"url":"https://github.com/oborel/obo-relations/wiki/ROAndBFO","name":"RO and BFO","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RO","name":"RO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ro.html","name":"ro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000644","bsg-s000644"],"name":"FAIRsharing record for: OBO Relations Ontology","abbreviation":"RO","url":"https://fairsharing.org/10.25504/FAIRsharing.9w8ea0","doi":"10.25504/FAIRsharing.9w8ea0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RO is a collection of relations intended primarily for standardization across ontologies in the OBO Foundry and wider OBO library. It incorporates ROCore upper-level relations such as part of as well as biology-specific relationship types such as develops from. The predecessor of RO was OBO_REL. Many of the relations in OBO_REL have been ceded to BFO.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12122}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Relations"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1751,"relation":"undefined"}],"grants":[{"id":5479,"fairsharing_record_id":320,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:28.749Z","updated_at":"2021-09-30T09:27:28.749Z","grant_id":null,"is_lead":true,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5480,"fairsharing_record_id":320,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:28.773Z","updated_at":"2021-09-30T09:27:28.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"321","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:14:38.000Z","updated_at":"2024-03-21T16:14:00.864Z","metadata":{"doi":"10.25504/FAIRsharing.LaaxUg","name":"IDG Small Molecule Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":321,"description":"Small molecule perturbagen reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001227","bsg-s001227"],"name":"FAIRsharing record for: IDG Small Molecule Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LaaxUg","doi":"10.25504/FAIRsharing.LaaxUg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Small molecule perturbagen reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11702}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11538,"fairsharing_record_id":321,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:10.787Z","updated_at":"2024-03-21T13:58:10.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11621,"fairsharing_record_id":321,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:11:50.522Z","updated_at":"2024-03-21T16:11:50.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaE1FIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b6a9d09ab610d2947259b4428cbd7d29c9daae8d/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"329","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-17T09:29:41.477Z","metadata":{"doi":"10.25504/FAIRsharing.t58zhj","name":"Animals in Research: Reporting In Vivo Experiments","status":"ready","contacts":[{"contact_name":"Nathalie Percie du Sert","contact_email":"nathalie.perciedusert@nc3rs.org.uk"}],"homepage":"https://arriveguidelines.org/arrive-guidelines","citations":[{"doi":"10.1371/journal.pbio.1000412","pubmed_id":20613859,"publication_id":841}],"identifier":329,"description":"The ARRIVE (Animal Research: Reporting In Vivo Experiments) guidelines are intended to improve the reporting of research using animals - maximising information published and minimising unnecessary studies. The ARRIVE guidelines were developed in consultation with the scientific community as part of an NC3Rs initiative to improve the standard of reporting of research using animals. They are available in Chinese (Mandarin), French, Italian, Japanese, Korean, Portuguese (including Brazilian Portuguese) and Spanish as well as the original English.","abbreviation":"ARRIVE","support_links":[{"url":"enquiries@nc3rs.org.uk","type":"Support email"},{"url":"https://www.labroots.com/webinar/keynote-the-arrive-guidelines-improving-the-design-and-reporting-of-animal-research-to-optimize-the-reproducibility-of-animal-studies","name":"Webinar","type":"Video"},{"url":"https://www.nc3rs.org.uk/sites/default/files/documents/Guidelines/ARRIVE%20powerpoint%20Oct%202014.pdf","name":"Presentation","type":"Help documentation"},{"url":"http://www.nc3rs.org.uk/arrive-guidelines","name":"NC3RS ARRIVE Homepage","type":"Other"}],"year_creation":2010},"legacy_ids":["bsg-000035","bsg-s000035"],"name":"FAIRsharing record for: Animals in Research: Reporting In Vivo Experiments","abbreviation":"ARRIVE","url":"https://fairsharing.org/10.25504/FAIRsharing.t58zhj","doi":"10.25504/FAIRsharing.t58zhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ARRIVE (Animal Research: Reporting In Vivo Experiments) guidelines are intended to improve the reporting of research using animals - maximising information published and minimising unnecessary studies. The ARRIVE guidelines were developed in consultation with the scientific community as part of an NC3Rs initiative to improve the standard of reporting of research using animals. They are available in Chinese (Mandarin), French, Italian, Japanese, Korean, Portuguese (including Brazilian Portuguese) and Spanish as well as the original English.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Animal research","In vivo design"],"taxonomies":["Animalia","Metazoa"],"user_defined_tags":[],"countries":["Australia","Belgium","Canada","Switzerland","United Kingdom","United States"],"publications":[{"id":813,"pubmed_id":19956596,"title":"Survey of the quality of experimental design, statistical analysis and reporting of research using animals","year":2009,"url":"http://doi.org/10.1371/journal.pone.0007824","authors":"Kilkenny C, Parsons N, Kadyszewski E, Festing MF, Cuthill IC, Fry D, Hutton J, Altman DG","journal":"PLoS One","doi":"10.1371/journal.pone.0007824","created_at":"2021-09-30T08:23:49.697Z","updated_at":"2021-09-30T08:23:49.697Z"},{"id":841,"pubmed_id":20613859,"title":"Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research.","year":2010,"url":"http://doi.org/10.1371/journal.pbio.1000412","authors":"Kilkenny C,Browne WJ,Cuthill IC,Emerson M,Altman DG","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1000412","created_at":"2021-09-30T08:23:52.829Z","updated_at":"2021-09-30T08:23:52.829Z"},{"id":4133,"pubmed_id":null,"title":"Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0","year":2020,"url":"http://dx.doi.org/10.1371/journal.pbio.3000411","authors":"Percie du Sert, Nathalie; Ahluwalia, Amrita; Alam, Sabina; Avey, Marc T.; Baker, Monya; Browne, William J.; Clark, Alejandra; Cuthill, Innes C.; Dirnagl, Ulrich; Emerson, Michael; Garner, Paul; Holgate, Stephen T.; Howells, David W.; Hurst, Viki; Karp, Natasha A.; Lazic, Stanley E.; Lidster, Katie; MacCallum, Catriona J.; Macleod, Malcolm; Pearl, Esther J.; Petersen, Ole H.; Rawle, Frances; Reynolds, Penny; Rooney, Kieron; Sena, Emily S.; Silberberg, Shai D.; Steckler, Thomas; Würbel, Hanno; ","journal":"PLoS Biol","doi":"10.1371/journal.pbio.3000411","created_at":"2024-02-17T09:16:19.947Z","updated_at":"2024-02-17T09:16:19.947Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3503,"relation":"applies_to_content"}],"grants":[{"id":5488,"fairsharing_record_id":329,"organisation_id":2290,"relation":"funds","created_at":"2021-09-30T09:27:29.071Z","updated_at":"2021-09-30T09:27:29.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5490,"fairsharing_record_id":329,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:29.147Z","updated_at":"2021-09-30T09:27:29.147Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5492,"fairsharing_record_id":329,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:27:29.247Z","updated_at":"2021-09-30T09:27:29.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5486,"fairsharing_record_id":329,"organisation_id":2031,"relation":"funds","created_at":"2021-09-30T09:27:28.988Z","updated_at":"2021-09-30T09:27:28.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":2031,"name":"National Institutes for Health/Office of Laboratory Animal Welfare","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5489,"fairsharing_record_id":329,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:29.109Z","updated_at":"2021-09-30T09:27:29.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5491,"fairsharing_record_id":329,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:29.188Z","updated_at":"2021-09-30T09:27:29.188Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5487,"fairsharing_record_id":329,"organisation_id":1975,"relation":"maintains","created_at":"2021-09-30T09:27:29.030Z","updated_at":"2024-02-17T09:18:29.802Z","grant_id":null,"is_lead":true,"saved_state":{"id":1975,"name":"National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs), London, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb2dEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--62c3869a053e22e56968fcd90093a9410b0bd79d/Screenshot%20from%202024-02-17%2009-17-05.png?disposition=inline","exhaustive_licences":true}},{"id":"419","type":"fairsharing_records","attributes":{"created_at":"2015-02-23T13:23:52.000Z","updated_at":"2021-11-24T13:18:35.590Z","metadata":{"doi":"10.25504/FAIRsharing.yfc7pa","name":"mzData","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"psidev-ms-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/mzdata","identifier":419,"description":"mzData is an XML format for representing mass spectrometry data in such a way as to completely describe the instrumental aspects of the experiment.","abbreviation":"mzData","support_links":[{"url":"http://www.psidev.info/mzdata-1_0_5-docs","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2015-04-08","deprecation_reason":"This resource is obsolete and has been superseded by mzML."},"legacy_ids":["bsg-000582","bsg-s000582"],"name":"FAIRsharing record for: mzData","abbreviation":"mzData","url":"https://fairsharing.org/10.25504/FAIRsharing.yfc7pa","doi":"10.25504/FAIRsharing.yfc7pa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mzData is an XML format for representing mass spectrometry data in such a way as to completely describe the instrumental aspects of the experiment.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10918},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11443},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12061}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":606,"pubmed_id":18655045,"title":"mzML: a single, unifying data format for mass spectrometer output.","year":2008,"url":"http://doi.org/10.1002/pmic.200890049","authors":"Deutsch E","journal":"Proteomics","doi":"10.1002/pmic.200890049","created_at":"2021-09-30T08:23:26.470Z","updated_at":"2021-09-30T08:23:26.470Z"},{"id":734,"pubmed_id":14625869,"title":"Further advances in the development of a data interchange standard for proteomics data","year":2003,"url":"http://doi.org/10.1002/pmic.200300588","authors":"Orchard S, Zhu W, Julian RK Jr, Hermjakob H, Apweiler R.","journal":"Proteomics","doi":"10.1002/pmic.200300588","created_at":"2021-09-30T08:23:40.895Z","updated_at":"2021-09-30T08:23:40.895Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"420","type":"fairsharing_records","attributes":{"created_at":"2015-02-17T19:59:27.000Z","updated_at":"2023-05-05T09:03:36.017Z","metadata":{"doi":"10.25504/FAIRsharing.262bth","name":"mz5","status":"deprecated","contacts":[{"contact_name":"Judith A.J. Steen","contact_email":"judith.steen@childrens.harvard.edu"}],"homepage":"http://software.steenlab.org/mz5","citations":[],"identifier":420,"description":"mz5 is a complete reimplementation of the mzML ontology that is based on the efficient, industrial strength storage backend HDF5.","abbreviation":"mz5","support_links":[{"url":"hanno.steen@childrens.harvard.edu","type":"Support email"}],"year_creation":2011,"deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000580","bsg-s000580"],"name":"FAIRsharing record for: mz5","abbreviation":"mz5","url":"https://fairsharing.org/10.25504/FAIRsharing.262bth","doi":"10.25504/FAIRsharing.262bth","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mz5 is a complete reimplementation of the mzML ontology that is based on the efficient, industrial strength storage backend HDF5.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10914},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11031}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":701,"pubmed_id":21960719,"title":"mz5: space- and time-efficient storage of mass spectrometry data sets","year":2011,"url":"http://doi.org/S1535-9476(20)30559-4","authors":"Wilhelm M, Kirchner M, Steen JA, Steen H.","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O111.011379","created_at":"2021-09-30T08:23:37.286Z","updated_at":"2021-09-30T08:23:37.286Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1188,"relation":"undefined"}],"grants":[{"id":5637,"fairsharing_record_id":420,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:34.169Z","updated_at":"2021-09-30T09:27:34.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5636,"fairsharing_record_id":420,"organisation_id":53,"relation":"funds","created_at":"2021-09-30T09:27:34.138Z","updated_at":"2021-09-30T09:31:17.241Z","grant_id":1102,"is_lead":false,"saved_state":{"id":53,"name":"Alexander von Humboldt Foundation, Germany","grant":"DEU/1134241","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5638,"fairsharing_record_id":420,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:34.211Z","updated_at":"2021-09-30T09:30:27.723Z","grant_id":722,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-GM094844-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8120,"fairsharing_record_id":420,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:03.680Z","updated_at":"2021-09-30T09:31:03.736Z","grant_id":998,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-NS066973-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"421","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2021-11-24T13:14:19.948Z","metadata":{"doi":"10.25504/FAIRsharing.qp211a","name":"Clinical Trials Ontology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de","contact_orcid":"0000-0001-8793-2692"}],"homepage":"http://bioportal.bioontology.org/ontologies/CTO","identifier":421,"description":"The Clinical Trials Ontology (CTO) is also known as the Clinical Trial Ontology-Neurodegenerative Diseases (CTO-NDD), and describes clinical trials in the field of neurodegeneration. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","abbreviation":"CTO","support_links":[{"url":"http://aetionomy.scai.fhg.de/","name":"Aetionomy Project","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTO","name":"CTO","portal":"BioPortal"}]},"legacy_ids":["bsg-001058","bsg-s001058"],"name":"FAIRsharing record for: Clinical Trials Ontology","abbreviation":"CTO","url":"https://fairsharing.org/10.25504/FAIRsharing.qp211a","doi":"10.25504/FAIRsharing.qp211a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Clinical Trials Ontology (CTO) is also known as the Clinical Trial Ontology-Neurodegenerative Diseases (CTO-NDD), and describes clinical trials in the field of neurodegeneration. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17357},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12532}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5639,"fairsharing_record_id":421,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:34.253Z","updated_at":"2021-09-30T09:27:34.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"422","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:20.009Z","metadata":{"doi":"10.25504/FAIRsharing.pk6cwg","name":"Epoch Clinical Trial Ontology","status":"uncertain","contacts":[{"contact_name":"Ravi Shankar","contact_email":"rshankar@stanford.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/CTONT","identifier":422,"description":"The Epoch Clinical Trial Ontology is a standard, originally curated from data in BioPortal. It encodes knowledge about the clinical trial domain that is relevant to trial management applications. It has been created to support semantic interoperation of clinical trial software applications. Epoch is a suite of clinical trial ontologies that formally represents protocol entities relevant to the clinical trials management applications they support. However, information on this standard appears to no longer be available. If you work on this standard, or know of it's current status, please get in touch with our team.","abbreviation":null,"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTONT","name":"CTONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002610","bsg-s002610"],"name":"FAIRsharing record for: Epoch Clinical Trial Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pk6cwg","doi":"10.25504/FAIRsharing.pk6cwg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epoch Clinical Trial Ontology is a standard, originally curated from data in BioPortal. It encodes knowledge about the clinical trial domain that is relevant to trial management applications. It has been created to support semantic interoperation of clinical trial software applications. Epoch is a suite of clinical trial ontologies that formally represents protocol entities relevant to the clinical trials management applications they support. However, information on this standard appears to no longer be available. If you work on this standard, or know of it's current status, please get in touch with our team.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12517}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Chemical entity","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":263,"pubmed_id":18693919,"title":"An ontology-based architecture for integration of clinical trials management applications.","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/18693919","authors":"Shankar RD,Martins SB,O'Connor M,Parrish DB,Das AK","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:22:48.418Z","updated_at":"2021-09-30T08:22:48.418Z"}],"licence_links":[],"grants":[{"id":5640,"fairsharing_record_id":422,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:34.294Z","updated_at":"2021-09-30T09:27:34.294Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"423","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:00:19.377Z","metadata":{"doi":"10.25504/FAIRsharing.yg0zpm","name":"Computer-based Patient Record Ontology","status":"ready","contacts":[{"contact_name":"Chimezie Ogbuji","contact_email":"chimezie@gmail.com"}],"homepage":"https://code.google.com/archive/p/cpr-ontology/","identifier":423,"description":"A uniform core set of data elements (whose formal semantics are captured in OWL) for use in a Computer-Based Patient Record (CPR).","abbreviation":"CPR","support_links":[{"url":"https://code.google.com/archive/p/cpr-ontology/issues","name":"Issues","type":"Forum"},{"url":"https://code.google.com/archive/p/cpr-ontology/wikis/CPROverview.wiki","type":"Help documentation"},{"url":"https://www.researchgate.net/publication/235463154_A_Framework_Ontology_for_Computer-Based_Patient_Record_Systems?ev=prf_pub","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CPRO","name":"CPRO","portal":"BioPortal"}]},"legacy_ids":["bsg-002593","bsg-s002593"],"name":"FAIRsharing record for: Computer-based Patient Record Ontology","abbreviation":"CPR","url":"https://fairsharing.org/10.25504/FAIRsharing.yg0zpm","doi":"10.25504/FAIRsharing.yg0zpm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A uniform core set of data elements (whose formal semantics are captured in OWL) for use in a Computer-Based Patient Record (CPR).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12518}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Medical Informatics"],"domains":["Electronic health record","Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2523,"pubmed_id":null,"title":"A Framework Ontology for Computer-Based Patient Record Systems","year":2011,"url":"https://pdfs.semanticscholar.org/7d37/3778e655af33f47c69fbb943725011e5c113.pdf","authors":"Ogbuji C.","journal":"ICBO: International Conference on Biomedical Ontology","doi":null,"created_at":"2021-09-30T08:27:09.516Z","updated_at":"2021-09-30T08:27:09.516Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":826,"relation":"undefined"}],"grants":[{"id":5641,"fairsharing_record_id":423,"organisation_id":2360,"relation":"maintains","created_at":"2021-09-30T09:27:34.332Z","updated_at":"2021-09-30T09:27:34.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2360,"name":"Problem-Oriented Medical Record Ontology (POMROntology) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5642,"fairsharing_record_id":423,"organisation_id":2515,"relation":"maintains","created_at":"2021-09-30T09:27:34.370Z","updated_at":"2021-09-30T09:27:34.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2515,"name":"School of Medicine, Case Western University, Cleveland, OH, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"424","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-07T16:04:28.885Z","metadata":{"doi":"10.25504/FAIRsharing.sp7hvb","name":"Proteomics data and process provenance","status":"uncertain","contacts":[{"contact_name":"Satya S. Sahoo","contact_email":"satyasahoo@ieee.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/PROPREO","identifier":424,"description":"A comprehensive proteomics data and process provenance ontology.","abbreviation":"ProPreO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PROPREO","name":"PROPREO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/propreo.html","name":"propreo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002622","bsg-s002622"],"name":"FAIRsharing record for: Proteomics data and process provenance","abbreviation":"ProPreO","url":"https://fairsharing.org/10.25504/FAIRsharing.sp7hvb","doi":"10.25504/FAIRsharing.sp7hvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive proteomics data and process provenance ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":9096,"fairsharing_record_id":424,"organisation_id":556,"relation":"maintains","created_at":"2022-04-07T13:26:04.742Z","updated_at":"2022-04-07T13:26:04.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":556,"name":"College of Engineering and Computer Science (KNO.E.SIS), Fairborn, OH, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5643,"fairsharing_record_id":424,"organisation_id":1311,"relation":"maintains","created_at":"2021-09-30T09:27:34.412Z","updated_at":"2021-09-30T09:27:34.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":1311,"name":"IEEE Engineering in Medicine and Biology Society (EMBS), Piscataway, NJ, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"425","type":"fairsharing_records","attributes":{"created_at":"2020-09-03T12:34:36.000Z","updated_at":"2022-09-28T15:04:43.321Z","metadata":{"doi":"10.25504/FAIRsharing.YKGuWm","name":"Covid-19 Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/C0X/en/","citations":[],"identifier":425,"description":"This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the emerging COVID-19 outbreak which reminds the past SARS coronavirus outbreak and Middle East coronavirus outbreak. This thesaurus is based on the vocabulary used in scientific publications for SARS-CoV-2 and other coronaviruses, like SARS-CoV and MERS-CoV. It provides a support to explore the coronavirus infectious diseases.","abbreviation":null,"year_creation":2020},"legacy_ids":["bsg-001514","bsg-s001514"],"name":"FAIRsharing record for: Covid-19 Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.YKGuWm","doi":"10.25504/FAIRsharing.YKGuWm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the emerging COVID-19 outbreak which reminds the past SARS coronavirus outbreak and Middle East coronavirus outbreak. This thesaurus is based on the vocabulary used in scientific publications for SARS-CoV-2 and other coronaviruses, like SARS-CoV and MERS-CoV. It provides a support to explore the coronavirus infectious diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Virology","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":582,"relation":"undefined"}],"grants":[{"id":5646,"fairsharing_record_id":425,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:34.523Z","updated_at":"2021-09-30T09:27:34.523Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5645,"fairsharing_record_id":425,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:34.491Z","updated_at":"2021-09-30T09:27:34.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"452","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:16:25.000Z","updated_at":"2022-07-20T11:58:30.153Z","metadata":{"name":"Germplasm Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_010:ROOT","citations":[],"identifier":452,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Germplasm Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Banana (Musa spp.) (1996) and Descriptors for Mango by Bioversity and covers information about general germplasm descriptors.","abbreviation":"CO_010","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2007,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001172","bsg-s001172"],"name":"FAIRsharing record for: Germplasm Ontology","abbreviation":"CO_010","url":"https://fairsharing.org/fairsharing_records/452","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Germplasm Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Banana (Musa spp.) (1996) and Descriptors for Mango by Bioversity and covers information about general germplasm descriptors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science","Plant Anatomy","Plant Cell Biology"],"domains":["Germplasm"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Italy","Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":157,"relation":"undefined"}],"grants":[{"id":5689,"fairsharing_record_id":452,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:35.956Z","updated_at":"2021-09-30T09:27:35.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5690,"fairsharing_record_id":452,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:35.982Z","updated_at":"2021-09-30T09:27:35.982Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"453","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:36.408Z","metadata":{"doi":"10.25504/FAIRsharing.6ax9gn","name":"Reproductive trait and phenotype ontology","status":"ready","contacts":[{"contact_name":"Ina Hulsegge","contact_email":"ina.hulsegge@wur.nl","contact_orcid":"0000-0002-7015-6540"}],"homepage":"http://bioportal.bioontology.org/ontologies/1552","identifier":453,"description":"Ontology for livestock reproductive traits and phenotypes.","abbreviation":"REPO","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/REPO","name":"REPO","portal":"BioPortal"}]},"legacy_ids":["bsg-002698","bsg-s002698"],"name":"FAIRsharing record for: Reproductive trait and phenotype ontology","abbreviation":"REPO","url":"https://fairsharing.org/10.25504/FAIRsharing.6ax9gn","doi":"10.25504/FAIRsharing.6ax9gn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for livestock reproductive traits and phenotypes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":["Livestock","Trait modelling data"],"countries":["Netherlands"],"publications":[{"id":1016,"pubmed_id":22228038,"title":"Contributions to an animal trait ontology.","year":2012,"url":"http://doi.org/10.2527/jas.2011-4251","authors":"Hulsegge B, Smits MA, te Pas MF, Woelders H","journal":"J Anim Sci","doi":"10.2527/jas.2011-4251","created_at":"2021-09-30T08:24:12.480Z","updated_at":"2021-09-30T08:24:12.480Z"}],"licence_links":[],"grants":[{"id":5691,"fairsharing_record_id":453,"organisation_id":3215,"relation":"maintains","created_at":"2021-09-30T09:27:36.006Z","updated_at":"2021-09-30T09:27:36.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":3215,"name":"Wageningen University and Research, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"454","type":"fairsharing_records","attributes":{"created_at":"2021-06-28T05:46:23.000Z","updated_at":"2023-04-21T08:43:41.904Z","metadata":{"doi":"10.25504/FAIRsharing.5a608b","name":"BD5","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp","contact_orcid":"0000-0002-8255-1724"}],"homepage":"https://github.com/openssbd/BDML-BD5","citations":[{"doi":"10.1371/journal.pone.0237468","pubmed_id":32785254,"publication_id":2517}],"identifier":454,"description":"BD5 is an open HDF5-based format for representing quantitative data of biological dynamics.","abbreviation":"BD5","support_links":[{"url":"http://ssbd.qbic.riken.jp/bdml/bd5.html","type":"Help documentation"}],"year_creation":2020},"legacy_ids":["bsg-001619","bsg-s001619"],"name":"FAIRsharing record for: BD5","abbreviation":"BD5","url":"https://fairsharing.org/10.25504/FAIRsharing.5a608b","doi":"10.25504/FAIRsharing.5a608b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BD5 is an open HDF5-based format for representing quantitative data of biological dynamics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2517,"pubmed_id":32785254,"title":"BD5: An open HDF5-based data format to represent quantitative biological dynamics data.","year":2020,"url":"http://doi.org/10.1371/journal.pone.0237468","authors":"Kyoda K,Ho KHL,Tohsato Y,Itoga H,Onami S","journal":"PLoS One","doi":"10.1371/journal.pone.0237468","created_at":"2021-09-30T08:27:08.825Z","updated_at":"2021-09-30T08:27:08.825Z"}],"licence_links":[],"grants":[{"id":5693,"fairsharing_record_id":454,"organisation_id":2447,"relation":"funds","created_at":"2021-09-30T09:27:36.056Z","updated_at":"2021-09-30T09:29:48.959Z","grant_id":417,"is_lead":false,"saved_state":{"id":2447,"name":"RIKEN Open Life Science Platform","grant":"NA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5692,"fairsharing_record_id":454,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:27:36.032Z","updated_at":"2021-09-30T09:31:16.839Z","grant_id":1099,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","grant":"JP18H05412","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5695,"fairsharing_record_id":454,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:27:36.106Z","updated_at":"2021-09-30T09:32:35.720Z","grant_id":1690,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","grant":"JPMJCR1511","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5694,"fairsharing_record_id":454,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:36.082Z","updated_at":"2021-09-30T09:29:48.977Z","grant_id":417,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","grant":"NA","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"455","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-03-15T07:34:44.186Z","metadata":{"doi":"10.25504/FAIRsharing.azq2t6","name":"Molecular Interaction Map","status":"ready","contacts":[{"contact_name":"Anders Riutta","contact_email":"anders.riutta@gladstone.ucsf.edu"}],"homepage":"http://discover.nci.nih.gov/mim/","citations":[],"identifier":455,"description":"A Molecular Interaction Map (MIM) is a diagram convention that is capable of unambiguous representation of networks containing multi-protein complexes, protein modifications, and enzymes that are substrates of other enzymes. This graphical representation makes it possible to view all of the many interactions in which a given molecule may be involved, and it can portray competing interactions, which are common in bioregulatory networks. In order to facilitate linkage to databases, each molecular species is represented only once in a diagram. ","abbreviation":"MIM","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MIM","name":"MIM","portal":"BioPortal"}]},"legacy_ids":["bsg-001039","bsg-s001039"],"name":"FAIRsharing record for: Molecular Interaction Map","abbreviation":"MIM","url":"https://fairsharing.org/10.25504/FAIRsharing.azq2t6","doi":"10.25504/FAIRsharing.azq2t6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A Molecular Interaction Map (MIM) is a diagram convention that is capable of unambiguous representation of networks containing multi-protein complexes, protein modifications, and enzymes that are substrates of other enzymes. This graphical representation makes it possible to view all of the many interactions in which a given molecule may be involved, and it can portray competing interactions, which are common in bioregulatory networks. In order to facilitate linkage to databases, each molecular species is represented only once in a diagram. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Enzymology"],"domains":["Network model"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10417,"fairsharing_record_id":455,"organisation_id":1954,"relation":"undefined","created_at":"2023-03-15T07:34:35.124Z","updated_at":"2023-03-15T07:34:35.124Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"456","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-05T13:51:24.799Z","metadata":{"doi":"10.25504/FAIRsharing.sgk7s0","name":"Ontology of Core Data Mining Entities","status":"deprecated","contacts":[{"contact_name":"Pance Panov","contact_email":"pance.panov@ijs.si","contact_orcid":"0000-0002-7685-9140"}],"homepage":"http://www.ontodm.com/doku.php?id=ontodm-core","citations":[],"identifier":456,"description":"OntoDM is a generic ontology for the domain of data mining. The ontology includes the information processing processes that occur in the domain of data mining, participants in the processes and their specifications. OntoDM is highly transferable and extendable due to its adherence to accepted standards, and compliance with existing ontology resources. The generality in scope allows wide number of applications of the ontology, such as semantic annotation of data mining scenarios, ontology based support for QSARs, etc.","abbreviation":"OntoDM-core","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTODM-CORE","name":"ONTODM-CORE","portal":"BioPortal"}],"deprecation_date":"2023-04-05","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002731","bsg-s002731"],"name":"FAIRsharing record for: Ontology of Core Data Mining Entities","abbreviation":"OntoDM-core","url":"https://fairsharing.org/10.25504/FAIRsharing.sgk7s0","doi":"10.25504/FAIRsharing.sgk7s0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoDM is a generic ontology for the domain of data mining. The ontology includes the information processing processes that occur in the domain of data mining, participants in the processes and their specifications. OntoDM is highly transferable and extendable due to its adherence to accepted standards, and compliance with existing ontology resources. The generality in scope allows wide number of applications of the ontology, such as semantic annotation of data mining scenarios, ontology based support for QSARs, etc.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12035}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Semantic"],"countries":["Slovenia","United Kingdom"],"publications":[{"id":1532,"pubmed_id":null,"title":"Ontology of core data mining entities","year":2014,"url":"http://doi.org/10.1007/s10618-014-0363-0","authors":"Panov P, Soldatova L, Džeroski S,","journal":"Data Mining and Knowledge Discovery","doi":"10.1007/s10618-014-0363-0","created_at":"2021-09-30T08:25:11.493Z","updated_at":"2021-09-30T08:25:11.493Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"457","type":"fairsharing_records","attributes":{"created_at":"2019-01-21T20:11:58.000Z","updated_at":"2022-11-01T11:58:23.175Z","metadata":{"doi":"10.25504/FAIRsharing.r49beq","name":"FAIR Metrics - Identifier Uniqueness","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F1A","citations":[],"identifier":457,"description":"The FM-F1A Metric provides a measurement of whether or not there is a scheme to uniquely identify the digital resource. An identifier scheme is valid if and only if it is described in a repository that can register and present such identifier schemes (e.g. fairsharing.org). Information about the identifier scheme must be presented with a machine-readable document containing the FM1 attribute with the URL to where the scheme is described. see specification for implementation. This metric applies to part F1 of the FAIR Principles.","abbreviation":"FM-F1A","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001341","bsg-s001341"],"name":"FAIRsharing record for: FAIR Metrics - Identifier Uniqueness","abbreviation":"FM-F1A","url":"https://fairsharing.org/10.25504/FAIRsharing.r49beq","doi":"10.25504/FAIRsharing.r49beq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FM-F1A Metric provides a measurement of whether or not there is a scheme to uniquely identify the digital resource. An identifier scheme is valid if and only if it is described in a repository that can register and present such identifier schemes (e.g. fairsharing.org). Information about the identifier scheme must be presented with a machine-readable document containing the FM1 attribute with the URL to where the scheme is described. see specification for implementation. This metric applies to part F1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Subject Agnostic"],"domains":["Data identity and mapping","Centrally registered identifier","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1390,"relation":"undefined"}],"grants":[{"id":5696,"fairsharing_record_id":457,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:36.133Z","updated_at":"2021-09-30T09:27:36.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5697,"fairsharing_record_id":457,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:36.156Z","updated_at":"2021-09-30T09:27:36.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5698,"fairsharing_record_id":457,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:36.182Z","updated_at":"2021-09-30T09:27:36.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5699,"fairsharing_record_id":457,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:36.206Z","updated_at":"2021-09-30T09:27:36.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"446","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T21:15:09.000Z","updated_at":"2022-07-20T10:34:53.307Z","metadata":{"doi":"10.25504/FAIRsharing.f1292d","name":"SPHERE Activities of Daily Living","status":"ready","contacts":[{"contact_name":"Engineering Department General Contact","contact_email":"engf-faculty@bristol.ac.uk","contact_orcid":null}],"homepage":"https://doi.org/10.5523/bris.1234ym4ulx3r11i2z5b13g93n7","citations":[{"doi":"E2361","pubmed_id":30037001,"publication_id":2892}],"identifier":446,"description":"The Activities of Daily Living Ontology is available for use in the SPHERE (Sensor Platform for HEalth in a Residential Environment) system to capture and express daily behaviour and activities among patients. While this ontology is available, please note that it has not been updated since 2016.","abbreviation":"ADL","support_links":[],"year_creation":2016},"legacy_ids":["bsg-001457","bsg-s001457"],"name":"FAIRsharing record for: SPHERE Activities of Daily Living","abbreviation":"ADL","url":"https://fairsharing.org/10.25504/FAIRsharing.f1292d","doi":"10.25504/FAIRsharing.f1292d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Activities of Daily Living Ontology is available for use in the SPHERE (Sensor Platform for HEalth in a Residential Environment) system to capture and express daily behaviour and activities among patients. While this ontology is available, please note that it has not been updated since 2016.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12238},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12554}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies","Medicines Research and Development","Behavioural Biology","Social and Behavioural Science"],"domains":["Behavior","Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2892,"pubmed_id":30037001,"title":"Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation.","year":2018,"url":"http://doi.org/E2361","authors":"Woznowski PR,Tonkin EL,Flach PA","journal":"Sensors (Basel)","doi":"E2361","created_at":"2021-09-30T08:27:56.099Z","updated_at":"2021-09-30T08:27:56.099Z"}],"licence_links":[{"licence_name":"Non-Commercial Government Licence for Public Sector Information","licence_id":597,"licence_url":"https://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/","link_id":2576,"relation":"applies_to_content"}],"grants":[{"id":8742,"fairsharing_record_id":446,"organisation_id":862,"relation":"funds","created_at":"2022-01-21T14:25:01.226Z","updated_at":"2022-01-21T14:25:01.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5687,"fairsharing_record_id":446,"organisation_id":983,"relation":"maintains","created_at":"2021-09-30T09:27:35.906Z","updated_at":"2022-01-21T14:25:01.396Z","grant_id":null,"is_lead":true,"saved_state":{"id":983,"name":"Faculty of Engineering, University of Bristol, Bristol","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"447","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T14:49:40.000Z","updated_at":"2023-10-03T09:53:37.103Z","metadata":{"doi":"10.25504/FAIRsharing.x1ar7v","name":"MIAPE: Gel Electrophoresis","status":"ready","contacts":[{"contact_name":"Frank Gibson","contact_email":"Frank.Gibson@ncl.ac.uk"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":447,"description":"This module identifies guidelines for the minimum information to report about the use of n- dimensional gel electrophoresis in a proteomics experiment.","abbreviation":"MIAPE-GE","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Support email"},{"url":"psi-mi@ebi.ac.uk","type":"Support email"}],"year_creation":2008},"legacy_ids":["bsg-000609","bsg-s000609"],"name":"FAIRsharing record for: MIAPE: Gel Electrophoresis","abbreviation":"MIAPE-GE","url":"https://fairsharing.org/10.25504/FAIRsharing.x1ar7v","doi":"10.25504/FAIRsharing.x1ar7v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies guidelines for the minimum information to report about the use of n- dimensional gel electrophoresis in a proteomics experiment.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11442},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12053}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Assay","Electrophoresis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","France","Germany","Switzerland","United Kingdom","United States"],"publications":[{"id":2003,"pubmed_id":18688234,"title":"Guidelines for reporting the use of gel electrophoresis in proteomics.","year":2008,"url":"http://doi.org/10.1038/nbt0808-863","authors":"Gibson F,Anderson L,Babnigg G,Baker M,Berth M,Binz PA,Borthwick A,Cash P,Day BW,Friedman DB,Garland D,Gutstein HB,Hoogland C,Jones NA,Khan A,Klose J,Lamond AI,Lemkin PF,Lilley KS,Minden J,Morris NJ,Paton NW,Pisano MR,Prime JE,Rabilloud T,Stead DA,Taylor CF,Voshol H,Wipat A,Jones AR","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-863","created_at":"2021-09-30T08:26:05.557Z","updated_at":"2021-09-30T08:26:05.557Z"}],"licence_links":[],"grants":[{"id":5688,"fairsharing_record_id":447,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:35.932Z","updated_at":"2023-10-03T09:43:23.151Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2NEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8d206ae4103b6a63f54c7266c5467d0b05b4996d/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"448","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-12-23T08:41:54.164Z","metadata":{"doi":"10.25504/FAIRsharing.93g1th","name":"Porifera Ontology","status":"ready","contacts":[{"contact_name":"Bob Thacker","contact_email":"thacker@uab.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/PORO","citations":[],"identifier":448,"description":"An ontology covering the anatomy of Porifera (sponges)","abbreviation":"PORO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PORO","name":"PORO","portal":"BioPortal"}]},"legacy_ids":["bsg-001034","bsg-s001034"],"name":"FAIRsharing record for: Porifera Ontology","abbreviation":"PORO","url":"https://fairsharing.org/10.25504/FAIRsharing.93g1th","doi":"10.25504/FAIRsharing.93g1th","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology covering the anatomy of Porifera (sponges)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Taxonomy","Phylogeny"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"449","type":"fairsharing_records","attributes":{"created_at":"2015-09-26T04:56:38.000Z","updated_at":"2023-04-23T13:00:44.758Z","metadata":{"doi":"10.25504/FAIRsharing.8btktm","name":"Observations and Measurements OWL implementation","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"dr.shorthair@pm.me","contact_orcid":"0000-0002-3884-3420"}],"homepage":"https://www.w3.org/2015/spatial/wiki/Alignment_to_om-lite","citations":[],"identifier":449,"description":"An OWL representation of the Observation Schema described in clauses 7-8 of ISO 19156:2011 Geographic Information - Observations and Measurements.","abbreviation":"om-lite","year_creation":2014},"legacy_ids":["bsg-000618","bsg-s000618"],"name":"FAIRsharing record for: Observations and Measurements OWL implementation","abbreviation":"om-lite","url":"https://fairsharing.org/10.25504/FAIRsharing.8btktm","doi":"10.25504/FAIRsharing.8btktm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An OWL representation of the Observation Schema described in clauses 7-8 of ISO 19156:2011 Geographic Information - Observations and Measurements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Earth Science"],"domains":["Monitoring"],"taxonomies":["Not applicable"],"user_defined_tags":["Defence and intelligence"],"countries":["Australia"],"publications":[{"id":2230,"pubmed_id":null,"title":"Ontology for observations and sampling features, with alignments to existing models","year":2017,"url":"http://doi.org/10.3233/SW-160214","authors":"Cox, Simon J D","journal":"Semantic Web Journal","doi":"10.3233/SW-160214","created_at":"2021-09-30T08:26:31.314Z","updated_at":"2021-09-30T08:26:31.314Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":4,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"451","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-03-11T10:28:29.176Z","metadata":{"doi":"10.25504/FAIRsharing.d8a14w","name":"Early Pregnancy Ontology","status":"deprecated","contacts":[{"contact_name":"Ferdinand Dhombres","contact_email":"ferdinand.dhombres@inserm.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/EPO","citations":[],"identifier":451,"description":"The early pregnancy ontology contains the concepts to describe ectopic pregnancy ultrasound images, organized into several subsumption hierarchies for types of ectopic pregnancies and the signs, anatomical structures and technical elements of imaging associated with ectopic pregnancy. Also known as the Ectopic pregnancy ontology.","abbreviation":"EPO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EPO","name":"EPO","portal":"BioPortal"}],"deprecation_date":"2022-03-11","deprecation_reason":"This resource has not been updated in BioPortal since its initial submission, and no alternative homepage or information can be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-001037","bsg-s001037"],"name":"FAIRsharing record for: Early Pregnancy Ontology","abbreviation":"EPO","url":"https://fairsharing.org/10.25504/FAIRsharing.d8a14w","doi":"10.25504/FAIRsharing.d8a14w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The early pregnancy ontology contains the concepts to describe ectopic pregnancy ultrasound images, organized into several subsumption hierarchies for types of ectopic pregnancies and the signs, anatomical structures and technical elements of imaging associated with ectopic pregnancy. Also known as the Ectopic pregnancy ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gynecology","Obstetrics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3254,"pubmed_id":null,"title":"Towards ontology-based decision support systems for complex ultrasound diagnosis in obstetrics and gynecology","year":2017,"url":"http://dx.doi.org/10.1016/j.jogoh.2017.03.004","authors":"Maurice, P.; Dhombres, F.; Blondiaux, E.; Friszer, S.; Guilbaud, L.; Lelong, N.; Khoshnood, B.; Charlet, J.; Perrot, N.; Jauniaux, E.; Jurkovic, D.; Jouannic, J.-M.; ","journal":"Journal of Gynecology Obstetrics and Human Reproduction","doi":"10.1016/j.jogoh.2017.03.004","created_at":"2022-03-11T10:13:03.282Z","updated_at":"2022-03-11T10:13:03.282Z"}],"licence_links":[],"grants":[{"id":8982,"fairsharing_record_id":451,"organisation_id":1444,"relation":"maintains","created_at":"2022-03-11T10:15:17.967Z","updated_at":"2022-03-11T10:15:17.967Z","grant_id":null,"is_lead":true,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"442","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T14:20:17.000Z","updated_at":"2023-10-03T09:53:45.276Z","metadata":{"doi":"10.25504/FAIRsharing.mrrzb3","name":"MIAPE: Mass Spectrometry Informatics","status":"ready","contacts":[{"contact_name":"Pierre-Alain Binz","contact_email":"Pierre-Alain.Binz@isb-sib.ch"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":442,"description":"This module identifies the minimum information required to report the use of protein and peptide identification and characterisation software to analyse the data produced by mass spectrometry experiments, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the work that generated it.","abbreviation":"MIAPE-MSI","support_links":[{"url":"http://www.psidev.info/groups/mass-spectrometry#discussionList","type":"Forum"},{"url":"psidev-ms-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"Psidev-pi-dev@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2008},"legacy_ids":["bsg-000608","bsg-s000608"],"name":"FAIRsharing record for: MIAPE: Mass Spectrometry Informatics","abbreviation":"MIAPE-MSI","url":"https://fairsharing.org/10.25504/FAIRsharing.mrrzb3","doi":"10.25504/FAIRsharing.mrrzb3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report the use of protein and peptide identification and characterisation software to analyse the data produced by mass spectrometry experiments, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the work that generated it.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11439},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12044}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","France","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":804,"pubmed_id":18688233,"title":"Guidelines for reporting the use of mass spectrometry informatics in proteomics.","year":2008,"url":"http://doi.org/10.1038/nbt0808-862","authors":"Binz PA,Barkovich R,Beavis RC,Creasy D,Horn DM,Julian RK Jr,Seymour SL,Taylor CF,Vandenbrouck Y","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-862","created_at":"2021-09-30T08:23:48.678Z","updated_at":"2021-09-30T08:23:48.678Z"}],"licence_links":[],"grants":[{"id":8915,"fairsharing_record_id":442,"organisation_id":2854,"relation":"associated_with","created_at":"2022-03-03T21:24:34.482Z","updated_at":"2022-03-03T22:17:28.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"associated_with"}},{"id":8917,"fairsharing_record_id":442,"organisation_id":646,"relation":"associated_with","created_at":"2022-03-03T21:24:34.572Z","updated_at":"2022-03-03T22:17:28.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":646,"name":"Database Integration Coordination Program from the National Bioscience Database Center","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8916,"fairsharing_record_id":442,"organisation_id":2071,"relation":"associated_with","created_at":"2022-03-03T21:24:34.516Z","updated_at":"2022-03-03T22:17:28.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8913,"fairsharing_record_id":442,"organisation_id":2380,"relation":"maintains","created_at":"2022-03-03T21:24:34.409Z","updated_at":"2022-03-03T22:17:28.157Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9197,"fairsharing_record_id":442,"organisation_id":1595,"relation":"associated_with","created_at":"2022-04-11T12:07:21.252Z","updated_at":"2022-04-11T12:07:21.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1VEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3260eee703537d5bbc99a0ac5fd4a4ed14665985/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"443","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T15:05:29.000Z","updated_at":"2023-10-03T09:53:41.458Z","metadata":{"doi":"10.25504/FAIRsharing.1j9m75","name":"MIAPE: Gel Informatics","status":"ready","contacts":[{"contact_name":"Andrew R Jones","contact_email":"andrew.jones@liv.ac.uk"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":443,"description":"This module identifies the minimum information required to report an informatics analysis performed with gel electrophoresis images, in a manner compliant with the aims as laid out in the ‘MIAPE Principles’ document.","abbreviation":"MIAPE-GI","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-000610","bsg-s000610"],"name":"FAIRsharing record for: MIAPE: Gel Informatics","abbreviation":"MIAPE-GI","url":"https://fairsharing.org/10.25504/FAIRsharing.1j9m75","doi":"10.25504/FAIRsharing.1j9m75","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report an informatics analysis performed with gel electrophoresis images, in a manner compliant with the aims as laid out in the ‘MIAPE Principles’ document.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11441},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12048}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Germany","Spain","Switzerland","United Kingdom","European Union"],"publications":[{"id":2004,"pubmed_id":20622830,"title":"Guidelines for reporting the use of gel image informatics in proteomics.","year":2010,"url":"http://doi.org/10.1038/nbt0710-655","authors":"Hoogland C,O'Gorman M,Bogard P,Gibson F,Berth M,Cockell SJ,Ekefjard A,Forsstrom-Olsson O,Kapferer A,Nilsson M,Martinez-Bartolome S,Albar JP,Echevarria-Zomeno S,Martinez-Gomariz M,Joets J,Binz PA,Taylor CF,Dowsey A,Jones AR","journal":"Nat Biotechnol","doi":"10.1038/nbt0710-655","created_at":"2021-09-30T08:26:05.665Z","updated_at":"2021-09-30T08:26:05.665Z"}],"licence_links":[],"grants":[{"id":5685,"fairsharing_record_id":443,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:35.858Z","updated_at":"2023-10-03T09:41:46.415Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1lEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3da788d794e62f04e90c0fbc1337b062fa48f039/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"444","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T08:55:09.976Z","metadata":{"doi":"10.25504/FAIRsharing.fpwvra","name":"Biological Observation Matrix Ontology","status":"deprecated","contacts":[{"contact_name":"Mikel Egaña Aranguren","contact_email":"mikel.egana@ehu.es"}],"homepage":"http://github.com/mikel-egana-aranguren/biom-ld","citations":[],"identifier":444,"description":"The BIOMO ontology maps the HDF5 based BIOM format (http://biom-format.org/) to OWL, offering a method to convert a BIOM file to RDF and therefore publish it as Linked Data","abbreviation":"BIOMO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIOMO","name":"BIOMO","portal":"BioPortal"}],"deprecation_date":"2022-07-19","deprecation_reason":"Although the homepage for this resource exists, the ontology has not been updated since 2014 and therefore should not be considered active. Please let us know if you have any information on this resource."},"legacy_ids":["bsg-000884","bsg-s000884"],"name":"FAIRsharing record for: Biological Observation Matrix Ontology","abbreviation":"BIOMO","url":"https://fairsharing.org/10.25504/FAIRsharing.fpwvra","doi":"10.25504/FAIRsharing.fpwvra","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BIOMO ontology maps the HDF5 based BIOM format (http://biom-format.org/) to OWL, offering a method to convert a BIOM file to RDF and therefore publish it as Linked Data","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16036}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Microbiome"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"445","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2024-01-25T15:35:09.899Z","metadata":{"doi":"10.25504/FAIRsharing.egv2cz","name":"Ontology for Genetic Susceptibility Factor","status":"deprecated","contacts":[{"contact_name":"Asiyah Yu Lin","contact_email":"linikujp@gmail.com","contact_orcid":"0000-0003-2620-0345"}],"homepage":"https://github.com/linikujp/OGSF","citations":[],"identifier":445,"description":"Ontology for Genetic Susceptibility Factor (OGSF) is an application ontology to model/represent the notion of genetic susceptibility to a specific disease or an adverse event or a pathological biological process. It is developed using BFO 2.0's framework. The ontology is under the domain of genetic epidemiology. OGSF is built from a combination of three ontologies: the Ontology of Geographical Region (OGR), the Ontology of Glucose Metabolism (OGMD), and the Ontology of Genetic Disease Investigations (OGDI). ","abbreviation":"OGSF","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php#ontology","name":"He Group Ontology page","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGSF","name":"OGSF","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogsf.html","name":"ogsf","portal":"OBO Foundry"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology is considered inactive by the OBO Foundry and as such we have deprecated this record (https://obofoundry.org/ontology/ogsf.html). Please get in touch with us if you have additional information."},"legacy_ids":["bsg-000750","bsg-s000750"],"name":"FAIRsharing record for: Ontology for Genetic Susceptibility Factor","abbreviation":"OGSF","url":"https://fairsharing.org/10.25504/FAIRsharing.egv2cz","doi":"10.25504/FAIRsharing.egv2cz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Genetic Susceptibility Factor (OGSF) is an application ontology to model/represent the notion of genetic susceptibility to a specific disease or an adverse event or a pathological biological process. It is developed using BFO 2.0's framework. The ontology is under the domain of genetic epidemiology. OGSF is built from a combination of three ontologies: the Ontology of Geographical Region (OGR), the Ontology of Glucose Metabolism (OGMD), and the Ontology of Genetic Disease Investigations (OGDI). ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12512}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Biomedical Science","Epidemiology"],"domains":["Adverse Reaction","Disease","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":449,"pubmed_id":24963371,"title":"The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-19","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-19","created_at":"2021-09-30T08:23:08.751Z","updated_at":"2021-09-30T08:23:08.751Z"},{"id":1699,"pubmed_id":20847592,"title":"Ontology driven modeling for the knowledge of genetic susceptibility to disease.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/20847592","authors":"Lin Y,Sakamoto N","journal":"Kobe J Med Sci","doi":null,"created_at":"2021-09-30T08:25:30.403Z","updated_at":"2021-09-30T08:25:30.403Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1461,"relation":"undefined"}],"grants":[{"id":5686,"fairsharing_record_id":445,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:35.882Z","updated_at":"2021-09-30T09:27:35.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"433","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T11:12:40.000Z","updated_at":"2023-01-11T09:29:58.762Z","metadata":{"doi":"10.25504/FAIRsharing.6a97fa","name":"Cadastre and Land Administration Thesaurus","status":"ready","contacts":[{"contact_name":"Erik Stubkjaer","contact_email":"est@plan.aau.dk"}],"homepage":"http://www.cadastralvocabulary.org/","identifier":433,"description":"The Cadastre and Land Administration Thesaurus (CaLAThe) is a thesaurus for the domain of cadastre and land administration. The domain regards the surveying and mapping of land, including the boundaries of land parcels, as performed by the profession of surveyors. From a public point of view, the domain provides the technical base for taxation of land and buildings, and for land use planning; from a private point of view, the domain supports security in ownership and other land-related rights. CaLAThe is hosted at the OGC Definitions Server.","abbreviation":"CaLAThe","support_links":[{"url":"volkan@yildiz.edu.tr","name":"Volkan Cagdas","type":"Support email"},{"url":"http://www.cadastralvocabulary.org/GeneralOverview/Version4intro.html","name":"About Version 4","type":"Help documentation"},{"url":"http://www.cadastralvocabulary.org/References.html","name":"References","type":"Help documentation"},{"url":"http://www.cadastralvocabulary.org/Aboutus.html","name":"About","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-001551","bsg-s001551"],"name":"FAIRsharing record for: Cadastre and Land Administration Thesaurus","abbreviation":"CaLAThe","url":"https://fairsharing.org/10.25504/FAIRsharing.6a97fa","doi":"10.25504/FAIRsharing.6a97fa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cadastre and Land Administration Thesaurus (CaLAThe) is a thesaurus for the domain of cadastre and land administration. The domain regards the surveying and mapping of land, including the boundaries of land parcels, as performed by the profession of surveyors. From a public point of view, the domain provides the technical base for taxation of land and buildings, and for land use planning; from a private point of view, the domain supports security in ownership and other land-related rights. CaLAThe is hosted at the OGC Definitions Server.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Urban Planning","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Survey"],"countries":["Denmark","Turkey"],"publications":[{"id":3087,"pubmed_id":null,"title":"A SKOS vocabulary for Linked Land Administration: Cadastre and Land Administration Thesaurus","year":2015,"url":"https://doi.org/10.1016/j.landusepol.2014.12.017","authors":"Volkan Çağdaş, Erik Stubkjær","journal":"Land Use Policy","doi":null,"created_at":"2021-09-30T08:28:20.359Z","updated_at":"2021-09-30T08:28:20.359Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2226,"relation":"undefined"}],"grants":[{"id":5661,"fairsharing_record_id":433,"organisation_id":735,"relation":"maintains","created_at":"2021-09-30T09:27:35.108Z","updated_at":"2021-09-30T09:27:35.108Z","grant_id":null,"is_lead":true,"saved_state":{"id":735,"name":"Department of Planning, Aalborg University, Denmark","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5660,"fairsharing_record_id":433,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:35.075Z","updated_at":"2021-09-30T09:27:35.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5662,"fairsharing_record_id":433,"organisation_id":715,"relation":"maintains","created_at":"2021-09-30T09:27:35.145Z","updated_at":"2021-09-30T09:27:35.145Z","grant_id":null,"is_lead":true,"saved_state":{"id":715,"name":"Department of Geomatic Engineering, Yildiz Technical University, Turkey","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"434","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-15T10:50:40.451Z","metadata":{"doi":"10.25504/FAIRsharing.50n9hc","name":"CellML","status":"ready","homepage":"http://www.cellml.org","citations":[],"identifier":434,"description":"CellML language is an open standard based on the XML markup language. CellML is being developed by the Auckland Bioengineering Institute at the University of Auckland and affiliated research groups. The purpose of CellML is to store and exchange computer-based mathematical models. CellML allows scientists to share models even if they are using different model-building software. It also enables them to reuse components from one model in another, thus accelerating model building.","abbreviation":"CellML","support_links":[{"url":"https://www.cellml.org/about/contact","type":"Contact form"},{"url":"https://lists.cellml.org/sympa/info/cellml-discussion","name":"CellML Discussion mailing list","type":"Mailing list"},{"url":"http://www.cellml.org/specifications","type":"Help documentation"}],"year_creation":2001,"associated_tools":[{"url":"https://www.cellml.org/tools","name":"CellML tools"}]},"legacy_ids":["bsg-000050","bsg-s000050"],"name":"FAIRsharing record for: CellML","abbreviation":"CellML","url":"https://fairsharing.org/10.25504/FAIRsharing.50n9hc","doi":"10.25504/FAIRsharing.50n9hc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CellML language is an open standard based on the XML markup language. CellML is being developed by the Auckland Bioengineering Institute at the University of Auckland and affiliated research groups. The purpose of CellML is to store and exchange computer-based mathematical models. CellML allows scientists to share models even if they are using different model-building software. It also enables them to reuse components from one model in another, thus accelerating model building.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10845},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11136},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11875},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11917},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12193},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16898}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Physiology"],"domains":["Mathematical model","Cell","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":913,"pubmed_id":15142756,"title":"CellML: its future, present and past.","year":2004,"url":"http://doi.org/10.1016/j.pbiomolbio.2004.01.004","authors":"Lloyd CM,Halstead MD,Nielsen PF","journal":"Prog Biophys Mol Biol","doi":"10.1016/j.pbiomolbio.2004.01.004","created_at":"2021-09-30T08:24:00.829Z","updated_at":"2021-09-30T08:24:00.829Z"},{"id":1980,"pubmed_id":25610400,"title":"Cellular cardiac electrophysiology modeling with Chaste and CellML.","year":2015,"url":"http://doi.org/10.3389/fphys.2014.00511","authors":"Cooper J,Spiteri RJ,Mirams GR","journal":"Front Physiol","doi":"10.3389/fphys.2014.00511","created_at":"2021-09-30T08:26:02.790Z","updated_at":"2021-09-30T08:26:02.790Z"},{"id":2236,"pubmed_id":26528558,"title":"The CellML Metadata Framework 2.0 Specification.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-260","authors":"Cooling MT,Hunter P","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-260","created_at":"2021-09-30T08:26:31.974Z","updated_at":"2021-09-30T08:26:31.974Z"},{"id":2265,"pubmed_id":25705192,"title":"OpenCOR: a modular and interoperable approach to computational biology.","year":2015,"url":"http://doi.org/10.3389/fphys.2015.00026","authors":"Garny A,Hunter PJ","journal":"Front Physiol","doi":"10.3389/fphys.2015.00026","created_at":"2021-09-30T08:26:35.623Z","updated_at":"2021-09-30T08:26:35.623Z"},{"id":2288,"pubmed_id":26528557,"title":"The CellML 1.1 Specification.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-259","authors":"Cuellar A,Hedley W,Nelson M,Lloyd C,Halstead M,Bullivant D,Nickerson D,Hunter P,Nielsen P","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-259","created_at":"2021-09-30T08:26:38.835Z","updated_at":"2021-09-30T08:26:38.835Z"},{"id":2310,"pubmed_id":26716837,"title":"Semantics-Based Composition of Integrated Cardiomyocyte Models Motivated by Real-World Use Cases.","year":2015,"url":"http://doi.org/10.1371/journal.pone.0145621","authors":"Neal ML,Carlson BE,Thompson CT,James RC,Kim KG,Tran K,Crampin EJ,Cook DL,Gennari JH","journal":"PLoS One","doi":"10.1371/journal.pone.0145621","created_at":"2021-09-30T08:26:43.394Z","updated_at":"2021-09-30T08:26:43.394Z"},{"id":2345,"pubmed_id":26721671,"title":"Myokit: A simple interface to cardiac cellular electrophysiology.","year":2016,"url":"http://doi.org/10.1016/j.pbiomolbio.2015.12.008","authors":"Clerx M,Collins P,de Lange E,Volders PG","journal":"Prog Biophys Mol Biol","doi":"S0079-6107(15)00257-6","created_at":"2021-09-30T08:26:48.168Z","updated_at":"2021-09-30T08:26:48.168Z"},{"id":2436,"pubmed_id":25601911,"title":"Using CellML with OpenCMISS to Simulate Multi-Scale Physiology.","year":2015,"url":"http://doi.org/10.3389/fbioe.2014.00079","authors":"Nickerson DP,Ladd D,Hussan JR,Safaei S,Suresh V,Hunter PJ,Bradley CP","journal":"Front Bioeng Biotechnol","doi":"10.3389/fbioe.2014.00079","created_at":"2021-09-30T08:26:58.886Z","updated_at":"2021-09-30T08:26:58.886Z"},{"id":2437,"pubmed_id":26789753,"title":"The Cardiac Electrophysiology Web Lab.","year":2016,"url":"http://doi.org/S0006-3495(15)04753-0","authors":"Cooper J,Scharm M,Mirams GR","journal":"Biophys J","doi":"10.1016/j.bpj.2015.12.012","created_at":"2021-09-30T08:26:59.003Z","updated_at":"2021-09-30T08:26:59.003Z"},{"id":4047,"pubmed_id":32759406,"title":"CellML 2.0.","year":2020,"url":"https://doi.org/10.1515/jib-2020-0021","authors":"Clerx M, Cooling MT, Cooper J, Garny A, Moyle K, Nickerson DP, Nielsen PMF, Sorby H","journal":"Journal of integrative bioinformatics","doi":"10.1515/jib-2020-0021","created_at":"2023-11-15T10:27:24.652Z","updated_at":"2023-11-15T10:27:24.652Z"},{"id":4048,"pubmed_id":null,"title":"CellML 2.0.1","year":2023,"url":"http://dx.doi.org/10.1515/jib-2023-0003","authors":"Clerx, Michael; Cooling, Michael T.; Cooper, Jonathan; Garny, Alan; Moyle, Keri; Nickerson, David P.; Nielsen, Poul M. F.; Sorby, Hugh; ","journal":"Journal of Integrative Bioinformatics","doi":"10.1515/jib-2023-0003","created_at":"2023-11-15T10:29:05.539Z","updated_at":"2023-11-15T10:29:05.539Z"}],"licence_links":[],"grants":[{"id":5664,"fairsharing_record_id":434,"organisation_id":3192,"relation":"funds","created_at":"2021-09-30T09:27:35.229Z","updated_at":"2021-09-30T09:27:35.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":3192,"name":"Virtual Physiological Human Network of Excellence","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5667,"fairsharing_record_id":434,"organisation_id":2203,"relation":"funds","created_at":"2021-09-30T09:27:35.323Z","updated_at":"2021-09-30T09:27:35.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":2203,"name":"NZIMA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5669,"fairsharing_record_id":434,"organisation_id":397,"relation":"maintains","created_at":"2021-09-30T09:27:35.387Z","updated_at":"2021-09-30T09:27:35.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":397,"name":"CellML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5663,"fairsharing_record_id":434,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:35.186Z","updated_at":"2021-09-30T09:27:35.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5665,"fairsharing_record_id":434,"organisation_id":2324,"relation":"funds","created_at":"2021-09-30T09:27:35.266Z","updated_at":"2021-09-30T09:27:35.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":2324,"name":"Physiome Project","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5666,"fairsharing_record_id":434,"organisation_id":2138,"relation":"funds","created_at":"2021-09-30T09:27:35.299Z","updated_at":"2021-09-30T09:27:35.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":2138,"name":"@neurIST, Center for Computational and Simulation Technologies in Biomedicine, Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":5668,"fairsharing_record_id":434,"organisation_id":1037,"relation":"funds","created_at":"2021-09-30T09:27:35.350Z","updated_at":"2021-09-30T09:27:35.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":1037,"name":"FoRST, New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5670,"fairsharing_record_id":434,"organisation_id":1775,"relation":"funds","created_at":"2021-09-30T09:27:35.425Z","updated_at":"2021-09-30T09:27:35.425Z","grant_id":null,"is_lead":false,"saved_state":{"id":1775,"name":"Maurice Wilkins Center for Molecular Biodiscovery, Auckland, New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"435","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.072Z","metadata":{"doi":"10.25504/FAIRsharing.mtmsgm","name":"Cereal Plant Gross Anatomy Ontology","status":"uncertain","contacts":[{"contact_name":"General Enquiries","contact_email":"po-discuss@plantontology.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/1001","identifier":435,"description":"Cereal plant gross anatomy is a structured controlled vocabulary for the anatomy of Gramineae. Please note that this ontology has now been superseded by the Plant Ontology.","abbreviation":"GRO CPGA","year_creation":2012,"cross_references":[{"url":"http://www.obofoundry.org/ontology/gro.html","name":"gro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002631","bsg-s002631"],"name":"FAIRsharing record for: Cereal Plant Gross Anatomy Ontology","abbreviation":"GRO CPGA","url":"https://fairsharing.org/10.25504/FAIRsharing.mtmsgm","doi":"10.25504/FAIRsharing.mtmsgm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cereal plant gross anatomy is a structured controlled vocabulary for the anatomy of Gramineae. Please note that this ontology has now been superseded by the Plant Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Morphology","Structure"],"taxonomies":["Gramineae","Poaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5673,"fairsharing_record_id":435,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:35.535Z","updated_at":"2021-09-30T09:27:35.535Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5671,"fairsharing_record_id":435,"organisation_id":2332,"relation":"maintains","created_at":"2021-09-30T09:27:35.458Z","updated_at":"2021-09-30T09:27:35.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":2332,"name":"Plant Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5672,"fairsharing_record_id":435,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:35.495Z","updated_at":"2021-09-30T09:27:35.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5674,"fairsharing_record_id":435,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:27:35.567Z","updated_at":"2021-09-30T09:27:35.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"438","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T08:59:47.096Z","metadata":{"doi":"10.25504/FAIRsharing.tn873z","name":"INSD sequence record XML","status":"ready","homepage":"http://www.insdc.org/documents/xml-status","identifier":438,"description":"The International Nucleotide Sequence Database Collaboration (INSDC) is a long-standing foundational initiative that operates between DDBJ, EMBL-EBI and NCBI. INSDC covers the spectrum of data raw reads, though alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. The INSDSeq is the official supported XML format of the International Nucleotide Sequence Database Collaboration (INSDC). The current production version of the XML is INSDSeq v1.5.","abbreviation":"INSDSeq","support_links":[{"url":"http://www.insdc.org/documents","name":"INSDC Documents","type":"Help documentation"}],"year_creation":1988},"legacy_ids":["bsg-000240","bsg-s000240"],"name":"FAIRsharing record for: INSD sequence record XML","abbreviation":"INSDSeq","url":"https://fairsharing.org/10.25504/FAIRsharing.tn873z","doi":"10.25504/FAIRsharing.tn873z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Nucleotide Sequence Database Collaboration (INSDC) is a long-standing foundational initiative that operates between DDBJ, EMBL-EBI and NCBI. INSDC covers the spectrum of data raw reads, though alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. The INSDSeq is the official supported XML format of the International Nucleotide Sequence Database Collaboration (INSDC). The current production version of the XML is INSDSeq v1.5.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","France","Greece","Japan","United Kingdom","United States"],"publications":[{"id":1565,"pubmed_id":27169596,"title":"Reminder to deposit DNA sequences.","year":2016,"url":"http://doi.org/10.1126/science.aaf7672","authors":"Blaxter M,Danchin A,Savakis B,Fukami-Kobayashi K,Kurokawa K,Sugano S,Roberts RJ,Salzberg SL,Wu CI","journal":"Science","doi":"10.1126/science.aaf7672","created_at":"2021-09-30T08:25:15.486Z","updated_at":"2021-09-30T08:25:15.486Z"},{"id":1566,"pubmed_id":27172038,"title":"Databases: Reminder to deposit DNA sequences.","year":2016,"url":"http://doi.org/10.1038/533179a","authors":"Salzberg SL","journal":"Nature","doi":"10.1038/533179a","created_at":"2021-09-30T08:25:15.592Z","updated_at":"2021-09-30T08:25:15.592Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":702,"relation":"undefined"},{"licence_name":"International Nucleotide Sequence Database Collaboration Policy","licence_id":446,"licence_url":"http://www.insdc.org/policy.html","link_id":1255,"relation":"undefined"}],"grants":[{"id":5677,"fairsharing_record_id":438,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:35.648Z","updated_at":"2021-09-30T09:27:35.648Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5678,"fairsharing_record_id":438,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:35.673Z","updated_at":"2021-09-30T09:27:35.673Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5680,"fairsharing_record_id":438,"organisation_id":2019,"relation":"maintains","created_at":"2021-09-30T09:27:35.723Z","updated_at":"2021-09-30T09:27:35.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9231,"fairsharing_record_id":438,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.064Z","updated_at":"2022-04-11T12:07:24.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"439","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-01-08T11:21:03.681Z","metadata":{"doi":"10.25504/FAIRsharing.k2dq5j","name":"Asthma Ontology","status":"ready","contacts":[{"contact_email":"harshana.liyanage@phc.ox.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/AO","citations":[],"identifier":439,"description":"An ontology which describes the medical terminology for asthmatic conditions.","abbreviation":"AO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AO","name":"AO","portal":"BioPortal"}]},"legacy_ids":["bsg-000866","bsg-s000866"],"name":"FAIRsharing record for: Asthma Ontology","abbreviation":"AO","url":"https://fairsharing.org/10.25504/FAIRsharing.k2dq5j","doi":"10.25504/FAIRsharing.k2dq5j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology which describes the medical terminology for asthmatic conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1142,"pubmed_id":30679295,"title":"Determinants of inter-practice variation in childhood asthma and respiratory infections: cross-sectional study of a national sentinel network.","year":2019,"url":"http://doi.org/10.1136/bmjopen-2018-024372","authors":"Hoang U,Liyanage H,Coyle R,Godden C,Jones S,Blair M,Rigby M,de Lusignan S","journal":"BMJ Open","doi":"10.1136/bmjopen-2018-024372","created_at":"2021-09-30T08:24:26.924Z","updated_at":"2021-09-30T08:24:26.924Z"}],"licence_links":[],"grants":[{"id":5681,"fairsharing_record_id":439,"organisation_id":541,"relation":"maintains","created_at":"2021-09-30T09:27:35.748Z","updated_at":"2021-09-30T09:27:35.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":541,"name":"Clinical Informatics \u0026 Health Outcomes Research Group, University of Surrey, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"441","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T11:20:23.039Z","metadata":{"doi":"10.25504/FAIRsharing.hakg7c","name":"Plant Phenology Ontology","status":"ready","contacts":[{"contact_name":"Brian Stucky","contact_email":"stuckyb@flmnh.ufl.edu"}],"homepage":"https://github.com/PlantPhenoOntology/PPO","citations":[{"doi":"10.3389/fpls.2018.00517","pubmed_id":29765382,"publication_id":2687}],"identifier":441,"description":"An ontology for describing the phenology of individual plants and populations of plants, and for integrating plant phenological data across sources and scales.","abbreviation":"PPO","support_links":[{"url":"https://github.com/PlantPhenoOntology/PPO/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"ppo-discuss@googlegroups.com","name":"PPO Discussion Mailing List","type":"Mailing list"},{"url":"https://github.com/PlantPhenoOntology/ppo/raw/master/documentation/ppo.pdf","name":"Ontology structure, entity relationships, and entity definitions","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PPO","name":"PPO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ppo.html","name":"ppo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001032","bsg-s001032"],"name":"FAIRsharing record for: Plant Phenology Ontology","abbreviation":"PPO","url":"https://fairsharing.org/10.25504/FAIRsharing.hakg7c","doi":"10.25504/FAIRsharing.hakg7c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing the phenology of individual plants and populations of plants, and for integrating plant phenological data across sources and scales.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Phenotype","Life cycle"],"taxonomies":["Viridiplantae"],"user_defined_tags":["Phenology"],"countries":["Sweden","United States"],"publications":[{"id":2687,"pubmed_id":29765382,"title":"The Plant Phenology Ontology: A New Informatics Resource for Large-Scale Integration of Plant Phenology Data.","year":2018,"url":"http://doi.org/10.3389/fpls.2018.00517","authors":"Stucky BJ,Guralnick R,Deck J,Denny EG,Bolmgren K,Walls R","journal":"Front Plant Sci","doi":"10.3389/fpls.2018.00517","created_at":"2021-09-30T08:27:30.080Z","updated_at":"2021-09-30T08:27:30.080Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1645,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"429","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2021-11-24T13:14:20.268Z","metadata":{"doi":"10.25504/FAIRsharing.q5xf99","name":"COPD Ontology","status":"ready","contacts":[{"contact_name":"Harshana Liyanage","contact_email":"harshana.liyanage@phc.ox.ac.uk"}],"homepage":"https://clininf.eu","identifier":429,"description":"The COPD Ontology is a biomedical ontology used for modelling concepts associated to chronic obstructive pulmonary disease in routine clinical databases. There are a no plans to revise this ontology in the near future and therefore the version shown in the BioPortal link should be considered the final version.","abbreviation":"COPDO","support_links":[{"url":"simon.delusignan@phc.ox.ac.uk","name":"Simon de Lusignan","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COPDO","name":"COPDO","portal":"BioPortal"}]},"legacy_ids":["bsg-000951","bsg-s000951"],"name":"FAIRsharing record for: COPD Ontology","abbreviation":"COPDO","url":"https://fairsharing.org/10.25504/FAIRsharing.q5xf99","doi":"10.25504/FAIRsharing.q5xf99","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COPD Ontology is a biomedical ontology used for modelling concepts associated to chronic obstructive pulmonary disease in routine clinical databases. There are a no plans to revise this ontology in the near future and therefore the version shown in the BioPortal link should be considered the final version.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12524}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5654,"fairsharing_record_id":429,"organisation_id":541,"relation":"maintains","created_at":"2021-09-30T09:27:34.812Z","updated_at":"2021-09-30T09:27:34.812Z","grant_id":null,"is_lead":false,"saved_state":{"id":541,"name":"Clinical Informatics \u0026 Health Outcomes Research Group, University of Surrey, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"430","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T15:17:43.000Z","updated_at":"2024-03-06T11:54:03.812Z","metadata":{"doi":"10.25504/FAIRsharing.53edcc","name":"MAP","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#map","identifier":430,"description":"Variant information file accompanying a .ped text pedigree + genotype table.","abbreviation":"MAP"},"legacy_ids":["bsg-001482","bsg-s001482"],"name":"FAIRsharing record for: MAP","abbreviation":"MAP","url":"https://fairsharing.org/10.25504/FAIRsharing.53edcc","doi":"10.25504/FAIRsharing.53edcc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Variant information file accompanying a .ped text pedigree + genotype table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Virology","Life Science","Epidemiology"],"domains":["Chromosome","Sequence variant"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"431","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:06:23.573Z","metadata":{"doi":"10.25504/FAIRsharing.rvz0m9","name":"Ontology for General Medical Science","status":"ready","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"rscheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"https://github.com/OGMS/ogms","citations":[],"identifier":431,"description":"The Ontology for General Medical Science (OGMS) is an ontology of entities involved in a clinical encounter. OGMS includes very general terms that are used across medical disciplines, including: 'disease', 'disorder', 'disease course', 'diagnosis', 'patient', and 'healthcare provider'. The scope of OGMS is restricted to humans, but many terms can be applied to a variety of organisms. OGMS provides a formal theory of disease that can be further elaborated by specific disease ontologies.","abbreviation":"OGMS","support_links":[{"url":"https://github.com/OGMS/ogms/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://groups.google.com/group/ogms-discuss","name":"Google Group","type":"Forum"},{"url":"https://drive.google.com/drive/folders/1pSAYgVJHUxIZ0ZlxYbA4gGql8JKvETh4","name":"Meeting notes","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGMS","name":"OGMS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogms.html","name":"ogms","portal":"OBO Foundry"},{"url":"https://code.google.com/archive/p/ogms/","name":"Google Code Archive","portal":"Other"}]},"legacy_ids":["bsg-000115","bsg-s000115"],"name":"FAIRsharing record for: Ontology for General Medical Science","abbreviation":"OGMS","url":"https://fairsharing.org/10.25504/FAIRsharing.rvz0m9","doi":"10.25504/FAIRsharing.rvz0m9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for General Medical Science (OGMS) is an ontology of entities involved in a clinical encounter. OGMS includes very general terms that are used across medical disciplines, including: 'disease', 'disorder', 'disease course', 'diagnosis', 'patient', and 'healthcare provider'. The scope of OGMS is restricted to humans, but many terms can be applied to a variety of organisms. OGMS provides a formal theory of disease that can be further elaborated by specific disease ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11948},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16996}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science"],"domains":["Cancer","Disease phenotype","Disease","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1030,"pubmed_id":24314207,"title":"The neurological disease ontology.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-42","authors":"Jensen M,Cox AP,Chaudhry N,Ng M,Sule D,Duncan W,Ray P,Weinstock-Guttman B,Smith B,Ruttenberg A,Szigeti K,Diehl AD","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-42","created_at":"2021-09-30T08:24:14.073Z","updated_at":"2021-09-30T08:24:14.073Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":320,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"426","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:20.205Z","metadata":{"doi":"10.25504/FAIRsharing.pbbnwa","name":"Orphanet Rare Diseases Ontology","status":"ready","contacts":[{"contact_name":"Ana Rath","contact_email":"ordo.orphanet@inserm.fr","contact_orcid":"0000-0003-4308-6337"}],"homepage":"http://www.orphadata.org/cgi-bin/inc/ordo_orphanet.inc.php","identifier":426,"description":"Orphanet Rare Diseases Ontology (ORDO) provide a structured vocabulary for rare diseases capturing relationships between diseases, genes and other relevant features which will form a useful resource for the computational analysis of rare diseases.","abbreviation":"ORDO","support_links":[{"url":"https://listes.inserm.fr/sympa/subscribe/ordo-users.orphanet","name":"ORDO users mailing list","type":"Mailing list"},{"url":"http://www.orphadata.org/cgi-bin/inc/ordo_orphanet.inc.php","name":"Information and release notes","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ORDO","name":"ORDO","portal":"BioPortal"}]},"legacy_ids":["bsg-002716","bsg-s002716"],"name":"FAIRsharing record for: Orphanet Rare Diseases Ontology","abbreviation":"ORDO","url":"https://fairsharing.org/10.25504/FAIRsharing.pbbnwa","doi":"10.25504/FAIRsharing.pbbnwa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Orphanet Rare Diseases Ontology (ORDO) provide a structured vocabulary for rare diseases capturing relationships between diseases, genes and other relevant features which will form a useful resource for the computational analysis of rare diseases.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18251},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12028},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16975}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science"],"domains":["Rare disease","Phenotype","Disease","Diagnosis","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","European Union"],"publications":[{"id":2125,"pubmed_id":22874158,"title":"Rare diseases knowledge management: the contribution of proximity measurements in OntoOrpha and OMIM.","year":2012,"url":"https://www.ncbi.nlm.nih.gov/pubmed/22874158","authors":"Aime X,Charlet J,Furst F,Kuntz P,Trichet F,Dhombres F","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:26:19.565Z","updated_at":"2021-09-30T08:26:19.565Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":120,"relation":"undefined"}],"grants":[{"id":5649,"fairsharing_record_id":426,"organisation_id":2276,"relation":"maintains","created_at":"2021-09-30T09:27:34.603Z","updated_at":"2021-09-30T09:27:34.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":2276,"name":"Orphadata","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5647,"fairsharing_record_id":426,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:27:34.547Z","updated_at":"2021-09-30T09:27:34.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5648,"fairsharing_record_id":426,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:27:34.572Z","updated_at":"2021-09-30T09:27:34.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"427","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T13:19:22.000Z","updated_at":"2023-06-21T09:13:21.985Z","metadata":{"doi":"10.25504/FAIRsharing.820ef3","name":"GenePix Results Format","status":"ready","contacts":[{"contact_name":"General Contact Europe","contact_email":"infoboxeu@moldev.com"}],"homepage":"https://support.moleculardevices.com/s/article/GenePix-File-Formats#gpr","citations":[],"identifier":427,"description":"The GenePix Results Format (GPR) contains general information about microarray image acquisition and analysis, as well as the data extracted from each individual feature. It was originally developed as the output format for GenePix software.","abbreviation":"GPR","support_links":[{"url":"techsupport.eu@moldev.com","name":"Technical Support Europe","type":"Support email"},{"url":"https://support.moleculardevices.com/s/article/GenePix-Pro-Results-File-Format-History","name":"GPR Format History","type":"Help documentation"}]},"legacy_ids":["bsg-001589","bsg-s001589"],"name":"FAIRsharing record for: GenePix Results Format","abbreviation":"GPR","url":"https://fairsharing.org/10.25504/FAIRsharing.820ef3","doi":"10.25504/FAIRsharing.820ef3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GenePix Results Format (GPR) contains general information about microarray image acquisition and analysis, as well as the data extracted from each individual feature. It was originally developed as the output format for GenePix software.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12137}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genetics","Life Science","Digital Image Processing"],"domains":["Expression data","Image","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5650,"fairsharing_record_id":427,"organisation_id":1888,"relation":"maintains","created_at":"2021-09-30T09:27:34.658Z","updated_at":"2021-09-30T09:27:34.658Z","grant_id":null,"is_lead":true,"saved_state":{"id":1888,"name":"Molecular Devices LLC, San Jose, CA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"428","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-30T15:43:49.672Z","metadata":{"doi":"10.25504/FAIRsharing.vajn3f","name":"Rat Strain Ontology","status":"ready","contacts":[{"contact_name":"Rajni Nigam","contact_email":"rnigam@mcw.edu"}],"homepage":"http://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=RS:0000457","citations":[],"identifier":428,"description":"This ontology defines the hierarchical display of the different rat strains as derived from the parental strains.","abbreviation":"RS","support_links":[{"url":"https://rgd.mcw.edu/wg/help3/data/ontologies/","name":"About Ontologies","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RS","name":"RS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/rs.html","name":"rs","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002625","bsg-s002625"],"name":"FAIRsharing record for: Rat Strain Ontology","abbreviation":"RS","url":"https://fairsharing.org/10.25504/FAIRsharing.vajn3f","doi":"10.25504/FAIRsharing.vajn3f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology defines the hierarchical display of the different rat strains as derived from the parental strains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Mutation","Genetic strain"],"taxonomies":["Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":906,"pubmed_id":23603846,"title":"PhenoMiner: quantitative phenotype curation at the rat genome database.","year":2013,"url":"http://doi.org/10.1093/database/bat015","authors":"Laulederkind SJ,Liu W,Smith JR,Hayman GT,Wang SJ,Nigam R,Petri V,Lowry TF,de Pons J,Dwinell MR,Shimoyama M","journal":"Database (Oxford)","doi":"10.1093/database/bat015","created_at":"2021-09-30T08:24:00.037Z","updated_at":"2021-09-30T08:24:00.037Z"},{"id":1735,"pubmed_id":24267899,"title":"Rat Strain Ontology: structured controlled vocabulary designed to facilitate access to strain data at RGD.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-36","authors":"Nigam R,Munzenmaier DH,Worthey EA,Dwinell MR,Shimoyama M,Jacob HJ","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-36","created_at":"2021-09-30T08:25:34.670Z","updated_at":"2021-09-30T08:25:34.670Z"}],"licence_links":[],"grants":[{"id":5652,"fairsharing_record_id":428,"organisation_id":2468,"relation":"maintains","created_at":"2021-09-30T09:27:34.736Z","updated_at":"2021-09-30T09:27:34.736Z","grant_id":null,"is_lead":false,"saved_state":{"id":2468,"name":"RS Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5651,"fairsharing_record_id":428,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:27:34.695Z","updated_at":"2021-09-30T09:27:34.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5653,"fairsharing_record_id":428,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:34.774Z","updated_at":"2021-09-30T09:31:21.234Z","grant_id":1131,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HL64541","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"436","type":"fairsharing_records","attributes":{"created_at":"2015-06-25T15:00:55.000Z","updated_at":"2022-07-20T11:25:33.950Z","metadata":{"doi":"10.25504/FAIRsharing.rk682s","name":"BioProject XML Schema","status":"ready","contacts":[{"contact_name":"BioProject Help","contact_email":"bioprojecthelp@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/data_specs/schema/other/bioproject/","identifier":436,"description":"This is a XML Schema specification of BioProject data. A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project.","abbreviation":null,"support_links":[{"url":"barrett@ncbi.nlm.nih.gov","name":"Tanya Barrett","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/bioproject/docs/faq/","name":"BioProject FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK54016","name":"NCBI Help Manual: BioProject","type":"Help documentation"}]},"legacy_ids":["bsg-000598","bsg-s000598"],"name":"FAIRsharing record for: BioProject XML Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.rk682s","doi":"10.25504/FAIRsharing.rk682s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a XML Schema specification of BioProject data. A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11201}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Annotation","Genomic assembly","Sequencing","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":514,"pubmed_id":22139929,"title":"BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1163","authors":"Barrett T,Clark K,Gevorgyan R,Gorelenkov V,Gribov E,Karsch-Mizrachi I,Kimelman M,Pruitt KD,Resenchuk S,Tatusova T,Yaschenko E,Ostell J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1163","created_at":"2021-09-30T08:23:16.098Z","updated_at":"2021-09-30T11:28:46.975Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":794,"relation":"undefined"}],"grants":[{"id":5675,"fairsharing_record_id":436,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:35.599Z","updated_at":"2021-09-30T09:27:35.599Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"437","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-07-20T12:33:26.738Z","metadata":{"doi":"10.25504/FAIRsharing.ckd4rf","name":"Alzheimer's Disease Ontology","status":"ready","contacts":[{"contact_name":"Martin Hofmann-Apitius","contact_email":"martin.hofmann-apitius@scai.fraunhofer.de"}],"homepage":"https://bioportal.bioontology.org/ontologies/ADO","identifier":437,"description":"The Alzheimer's Disease Ontology (ADO) is an ontology representing relevant knowledge on Alzheimer’s disease. ADO was developed with the purpose of containing information relevant to four main biological views—preclinical, clinical, etiological, and molecular/cellular mechanisms—and contains synonyms and references.","abbreviation":"ADO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ADO","name":"ADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000871","bsg-s000871"],"name":"FAIRsharing record for: Alzheimer's Disease Ontology","abbreviation":"ADO","url":"https://fairsharing.org/10.25504/FAIRsharing.ckd4rf","doi":"10.25504/FAIRsharing.ckd4rf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Alzheimer's Disease Ontology (ADO) is an ontology representing relevant knowledge on Alzheimer’s disease. ADO was developed with the purpose of containing information relevant to four main biological views—preclinical, clinical, etiological, and molecular/cellular mechanisms—and contains synonyms and references.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12232}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Alzheimer’s disease"],"countries":["Germany"],"publications":[{"id":2576,"pubmed_id":23830913,"title":"ADO: a disease ontology representing the domain knowledge specific to Alzheimer's disease.","year":2013,"url":"http://doi.org/10.1016/j.jalz.2013.02.009","authors":"Malhotra A,Younesi E,Gundel M,Muller B,Heneka MT,Hofmann-Apitius M","journal":"Alzheimers Dement","doi":"10.1016/j.jalz.2013.02.009","created_at":"2021-09-30T08:27:15.954Z","updated_at":"2021-09-30T08:27:15.954Z"}],"licence_links":[],"grants":[{"id":5676,"fairsharing_record_id":437,"organisation_id":1048,"relation":"maintains","created_at":"2021-09-30T09:27:35.623Z","updated_at":"2021-09-30T09:27:35.623Z","grant_id":null,"is_lead":true,"saved_state":{"id":1048,"name":"Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"547","type":"fairsharing_records","attributes":{"created_at":"2020-01-08T20:11:29.000Z","updated_at":"2023-12-01T08:26:05.284Z","metadata":{"name":"Animal Diseases Ontology","status":"deprecated","contacts":[{"contact_name":"Sophie Aubin","contact_email":"sophie.aubin@inra.fr"}],"homepage":"https://doi.org/10.15454/1.44525654526207E12","citations":[],"identifier":547,"description":"The Animal Diseases Ontology (ANDO) includes information on diseases of production animals and their related pathogenic agents in French and English.","abbreviation":"ANDO","year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This homepage for this resource no longer exists, and therefore this record has been deprecated. Please let us know if you have information regarding ANDO."},"legacy_ids":["bsg-001428","bsg-s001428"],"name":"FAIRsharing record for: Animal Diseases Ontology","abbreviation":"ANDO","url":"https://fairsharing.org/fairsharing_records/547","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Animal Diseases Ontology (ANDO) includes information on diseases of production animals and their related pathogenic agents in French and English.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Husbandry","Veterinary Medicine","Pathology"],"domains":["Disease"],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":208,"relation":"undefined"}],"grants":[{"id":5854,"fairsharing_record_id":547,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:41.037Z","updated_at":"2021-09-30T09:27:41.037Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"548","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T13:08:22.319Z","metadata":{"doi":"10.25504/FAIRsharing.95n1ns","name":"National Agricultural Library Thesaurus","status":"ready","contacts":[{"contact_name":"NALT Helpdesk","contact_email":"AgRefQuestion@libraryresearch.info"}],"homepage":"https://agclass.nal.usda.gov/","identifier":548,"description":"The National Agricultural Library Thesaurus (NALT) is an online vocabulary of agricultural terms in English and Spanish. The Agricultural Thesaurus and Glossary were first released by the National Agricultural Library in 2002. In 2007, NAL and the Inter-American Institute for Cooperation on Agriculture (IICA) collaborated to develop the Spanish version of the NAL Agricultural Thesaurus and Glossary, named Tesauro Agricola y Glosario. The thesaurus is primarily used for indexing and for improving retrieval of agricultural information. The subject scope of agriculture is broadly defined in the thesaurus, and includes terminology in the supporting biological, physical and social sciences. Biological nomenclature comprises a majority of the terms in the thesaurus, with political geography mainly described at the country level.","abbreviation":"NALT","support_links":[{"url":"https://agclass.nal.usda.gov/contact.shtml","name":"Contact Page","type":"Contact form"},{"url":"sujata.suri@ars.usda.gov","name":"sujata.suri@ars.usda.gov","type":"Support email"},{"url":"https://agclass.nal.usda.gov/help.shtml","name":"Help Page","type":"Help documentation"},{"url":"https://agclass.nal.usda.gov/about.shtml","name":"About NALT","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-001121","bsg-s001121"],"name":"FAIRsharing record for: National Agricultural Library Thesaurus","abbreviation":"NALT","url":"https://fairsharing.org/10.25504/FAIRsharing.95n1ns","doi":"10.25504/FAIRsharing.95n1ns","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Agricultural Library Thesaurus (NALT) is an online vocabulary of agricultural terms in English and Spanish. The Agricultural Thesaurus and Glossary were first released by the National Agricultural Library in 2002. In 2007, NAL and the Inter-American Institute for Cooperation on Agriculture (IICA) collaborated to develop the Spanish version of the NAL Agricultural Thesaurus and Glossary, named Tesauro Agricola y Glosario. The thesaurus is primarily used for indexing and for improving retrieval of agricultural information. The subject scope of agriculture is broadly defined in the thesaurus, and includes terminology in the supporting biological, physical and social sciences. Biological nomenclature comprises a majority of the terms in the thesaurus, with political geography mainly described at the country level.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Botany","Economics","Environmental Science","Engineering Science","Animal Genetics","Plant Breeding","Social Science","Health Science","Animal Husbandry","Entomology","Agricultural Engineering","Earth Science","Agriculture","Life Science","Nutritional Science","Jurisprudence","Biology","Pathology"],"domains":["Taxonomic classification","Geographical location","Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Argentina","Brazil","Colombia","Costa Rica","Cuba","Dominican Republic","Ecuador","El Salvador","Guatemala","Honduras","Jamaica","Mexico","Nicaragua","Panama","Paraguay","Peru","Suriname","Trinidad and Tobago","United States","Uruguay","Venezuela","Bolivia"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":437,"relation":"undefined"}],"grants":[{"id":5857,"fairsharing_record_id":548,"organisation_id":45,"relation":"maintains","created_at":"2021-09-30T09:27:41.114Z","updated_at":"2021-09-30T09:27:41.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":45,"name":"Agriculture Information and Documentation Service of the Americas (SIDALC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5855,"fairsharing_record_id":548,"organisation_id":1948,"relation":"maintains","created_at":"2021-09-30T09:27:41.064Z","updated_at":"2021-09-30T09:27:41.064Z","grant_id":null,"is_lead":true,"saved_state":{"id":1948,"name":"National Agricultural Library (NAL)","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5856,"fairsharing_record_id":548,"organisation_id":1465,"relation":"maintains","created_at":"2021-09-30T09:27:41.087Z","updated_at":"2021-09-30T09:27:41.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":1465,"name":"Inter-American Institute for Cooperation on Agriculture (IICA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"549","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:29:15.759Z","metadata":{"doi":"10.25504/FAIRsharing.2q8c28","name":"Infection Disease Ontology Malaria","status":"ready","contacts":[{"contact_name":"Pantelis Topalis","contact_email":"topalis@imbb.forth.gr","contact_orcid":"0000-0002-1635-4810"}],"homepage":"https://www.vectorbase.org/ontology-browser","citations":[{"doi":"10.1186/2041-1480-4-16","pubmed_id":24034841,"publication_id":987}],"identifier":549,"description":"An application ontology for malaria extending the infectious disease ontology (IDO). With about half a billion cases, of which nearly one million fatal ones, malaria constitutes one of the major infectious diseases worldwide. A recently revived effort to eliminate the disease also focuses on IT resources for its efficient control, which prominently includes the control of the mosquito vectors that transmit the Plasmodium pathogens. As part of this effort, IDOMAL has been developed and it is continually being updated.","abbreviation":"IDOMAL","support_links":[{"url":"https://www.vectorbase.org/contact","type":"Contact form"},{"url":"info@vectorbase.org","name":"General contact","type":"Support email"},{"url":"https://twitter.com/VectorBase","name":"Twitter","type":"Twitter"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IDOMAL","name":"IDOMAL","portal":"BioPortal"}]},"legacy_ids":["bsg-000104","bsg-s000104"],"name":"FAIRsharing record for: Infection Disease Ontology Malaria","abbreviation":"IDOMAL","url":"https://fairsharing.org/10.25504/FAIRsharing.2q8c28","doi":"10.25504/FAIRsharing.2q8c28","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for malaria extending the infectious disease ontology (IDO). With about half a billion cases, of which nearly one million fatal ones, malaria constitutes one of the major infectious diseases worldwide. A recently revived effort to eliminate the disease also focuses on IT resources for its efficient control, which prominently includes the control of the mosquito vectors that transmit the Plasmodium pathogens. As part of this effort, IDOMAL has been developed and it is continually being updated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Infection Biology","Life Science","Biomedical Science"],"domains":["Malaria","Pathogen","Intervention design","Disease"],"taxonomies":["Anopheles gambiae","Culicidae","Homo sapiens","Plasmodium","Plasmodium falciparum"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":987,"pubmed_id":24034841,"title":"IDOMAL: the malaria ontology revisited.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-16","authors":"Topalis P,Mitraka E,Dritsou V,Dialynas E,Louis C","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-16","created_at":"2021-09-30T08:24:09.255Z","updated_at":"2021-09-30T08:24:09.255Z"},{"id":988,"pubmed_id":20698959,"title":"IDOMAL: an ontology for malaria.","year":2010,"url":"http://doi.org/10.1186/1475-2875-9-230","authors":"Topalis P,Mitraka E,Bujila I,Deligianni E,Dialynas E,Siden-Kiamos I,Troye-Blomberg M,Louis C","journal":"Malar J","doi":"10.1186/1475-2875-9-230","created_at":"2021-09-30T08:24:09.363Z","updated_at":"2021-09-30T08:24:09.363Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1512,"relation":"undefined"}],"grants":[{"id":5860,"fairsharing_record_id":549,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:41.196Z","updated_at":"2021-09-30T09:29:21.150Z","grant_id":208,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","grant":"LSHP-CT-2004-503578","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8338,"fairsharing_record_id":549,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:09.708Z","updated_at":"2021-09-30T09:32:09.762Z","grant_id":1495,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7 201588","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5859,"fairsharing_record_id":549,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:41.173Z","updated_at":"2021-09-30T09:27:41.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5858,"fairsharing_record_id":549,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:41.137Z","updated_at":"2021-09-30T09:30:11.164Z","grant_id":589,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7 223736","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5861,"fairsharing_record_id":549,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:27:41.221Z","updated_at":"2021-09-30T09:28:59.790Z","grant_id":46,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200900039C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7887,"fairsharing_record_id":549,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:29:26.023Z","updated_at":"2021-09-30T09:29:26.066Z","grant_id":248,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","grant":"HEALTH-F3-2009-242095","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8174,"fairsharing_record_id":549,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:31:20.297Z","updated_at":"2021-09-30T09:31:20.352Z","grant_id":1125,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN266200400039C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"550","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-12-23T18:06:25.888Z","metadata":{"doi":"10.25504/FAIRsharing.vdenk6","name":"Phylogenetic Ontology","status":"ready","contacts":[{"contact_name":"maryam panahiazar","contact_email":"mp@uga.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/PHYLONT","citations":[],"identifier":550,"description":"Ontology for Phylogenetic Analysis","abbreviation":"PHYLONT","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHYLONT","name":"PHYLONT","portal":"BioPortal"}]},"legacy_ids":["bsg-001063","bsg-s001063"],"name":"FAIRsharing record for: Phylogenetic Ontology","abbreviation":"PHYLONT","url":"https://fairsharing.org/10.25504/FAIRsharing.vdenk6","doi":"10.25504/FAIRsharing.vdenk6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Phylogenetic Analysis","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Phylogenetics"],"domains":["Mathematical model","Evolution"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"539","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:19:23.411Z","metadata":{"doi":"10.25504/FAIRsharing.9h5j8c","name":"The CXI File Format for Coherent X-ray Imaging","status":"ready","contacts":[{"contact_name":"Filipe Maia","contact_email":"cxidb@cxidb.org","contact_orcid":"0000-0002-2141-438X"}],"homepage":"http://cxidb.org/cxi.html","citations":[],"identifier":539,"description":"The CXI file format was created as common format for all the data in the Coherent X-ray Imaging Data Bank (CXIDB). Naturally its scope is all experimental data collected during Coherent X-ray Imaging experiments as well as all data generated during the analysis of the experimental data.","abbreviation":"CXI","support_links":[{"url":"http://cxidb.org/mission.html","type":"Help documentation"}],"associated_tools":[{"url":"http://www.desy.de/~twhite/crystfel/index.html","name":"CrystFEL"},{"url":"http://www.desy.de/~barty/cheetah/Cheetah/Welcome.html","name":"Cheetah"},{"url":"http://fxihub.github.io/hummingbird/","name":"Hummingbird"},{"url":"https://github.com/FXIhub/owl","name":"Owl"}]},"legacy_ids":["bsg-000542","bsg-s000542"],"name":"FAIRsharing record for: The CXI File Format for Coherent X-ray Imaging","abbreviation":"CXI","url":"https://fairsharing.org/10.25504/FAIRsharing.9h5j8c","doi":"10.25504/FAIRsharing.9h5j8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CXI file format was created as common format for all the data in the Coherent X-ray Imaging Data Bank (CXIDB). Naturally its scope is all experimental data collected during Coherent X-ray Imaging experiments as well as all data generated during the analysis of the experimental data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","X-ray diffraction","Imaging"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Sweden","United States"],"publications":[{"id":647,"pubmed_id":22936162,"title":"The Coherent X-ray Imaging Data Bank","year":2012,"url":"http://doi.org/10.1038/nmeth.2110","authors":"Maia, F. R. N. C.","journal":"Nat. Methods","doi":"doi:10.1038/nmeth.2110","created_at":"2021-09-30T08:23:31.213Z","updated_at":"2021-09-30T08:23:31.213Z"}],"licence_links":[],"grants":[{"id":5837,"fairsharing_record_id":539,"organisation_id":2524,"relation":"funds","created_at":"2021-09-30T09:27:40.599Z","updated_at":"2021-09-30T09:27:40.599Z","grant_id":null,"is_lead":false,"saved_state":{"id":2524,"name":"Scientific Discovery Through Advanced Computing, U.S. Department of Energy, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5840,"fairsharing_record_id":539,"organisation_id":2672,"relation":"funds","created_at":"2021-09-30T09:27:40.679Z","updated_at":"2021-09-30T09:27:40.679Z","grant_id":null,"is_lead":false,"saved_state":{"id":2672,"name":"Swedish Foundation for Strategic Research, Stockholm, Sweden","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5833,"fairsharing_record_id":539,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:27:40.463Z","updated_at":"2021-09-30T09:27:40.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5835,"fairsharing_record_id":539,"organisation_id":1985,"relation":"maintains","created_at":"2021-09-30T09:27:40.513Z","updated_at":"2021-09-30T09:27:40.513Z","grant_id":null,"is_lead":false,"saved_state":{"id":1985,"name":"National Energy Research Scientific Computing Center (NERSC), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5836,"fairsharing_record_id":539,"organisation_id":1985,"relation":"funds","created_at":"2021-09-30T09:27:40.535Z","updated_at":"2021-09-30T09:27:40.535Z","grant_id":null,"is_lead":false,"saved_state":{"id":1985,"name":"National Energy Research Scientific Computing Center (NERSC), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5838,"fairsharing_record_id":539,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:27:40.631Z","updated_at":"2021-09-30T09:27:40.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5839,"fairsharing_record_id":539,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:40.654Z","updated_at":"2021-09-30T09:27:40.654Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9317,"fairsharing_record_id":539,"organisation_id":1691,"relation":"funds","created_at":"2022-04-11T12:07:29.967Z","updated_at":"2022-04-11T12:07:29.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9411,"fairsharing_record_id":539,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.511Z","updated_at":"2022-04-11T12:07:36.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"540","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:33.000Z","updated_at":"2022-11-01T11:58:05.477Z","metadata":{"doi":"10.25504/FAIRsharing.A2W4nz","name":"FAIR Metrics - Metadata Longevity","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_A2","citations":[],"identifier":540,"description":"FM-A2 measures the existence of metadata even in the absence/removal of data. Cross-references to data from a third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data. This metric requires a URL to a formal metadata longevity plan. This metric applies to part A2 of the FAIR Principles.","abbreviation":"FM-A2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001349","bsg-s001349"],"name":"FAIRsharing record for: FAIR Metrics - Metadata Longevity","abbreviation":"FM-A2","url":"https://fairsharing.org/10.25504/FAIRsharing.A2W4nz","doi":"10.25504/FAIRsharing.A2W4nz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-A2 measures the existence of metadata even in the absence/removal of data. Cross-references to data from a third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data. This metric requires a URL to a formal metadata longevity plan. This metric applies to part A2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1407,"relation":"undefined"}],"grants":[{"id":5844,"fairsharing_record_id":540,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:40.787Z","updated_at":"2021-09-30T09:27:40.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5842,"fairsharing_record_id":540,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:40.738Z","updated_at":"2021-09-30T09:27:40.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5843,"fairsharing_record_id":540,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:40.763Z","updated_at":"2021-09-30T09:27:40.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5845,"fairsharing_record_id":540,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:40.813Z","updated_at":"2021-09-30T09:27:40.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"541","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:20.907Z","metadata":{"doi":"10.25504/FAIRsharing.dvxkzb","name":"CDISC Analysis Data Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/adam","identifier":541,"description":"ADaM defines dataset and metadata standards that support the efficient generation, replication, and review of clinical trial statistical analyses, and traceability among analysis results, analysis data, and data represented in the Study Data Tabulation Model (SDTM).​","abbreviation":"CDISC ADaM","support_links":[{"url":"https://www.cdisc.org/education/course/adam-primer","name":"ADaM Primer","type":"Training documentation"},{"url":"https://www.cdisc.org/education/course/adam-theory-and-application","name":"ADaM Theory and Application","type":"Training documentation"}]},"legacy_ids":["bsg-000001","bsg-s000001"],"name":"FAIRsharing record for: CDISC Analysis Data Model","abbreviation":"CDISC ADaM","url":"https://fairsharing.org/10.25504/FAIRsharing.dvxkzb","doi":"10.25504/FAIRsharing.dvxkzb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ADaM defines dataset and metadata standards that support the efficient generation, replication, and review of clinical trial statistical analyses, and traceability among analysis results, analysis data, and data represented in the Study Data Tabulation Model (SDTM).​","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17396},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11265},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11802},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11938},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12401},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16961}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Analysis","Data model","Data transformation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5847,"fairsharing_record_id":541,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:27:40.863Z","updated_at":"2021-09-30T09:27:40.863Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":5846,"fairsharing_record_id":541,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:27:40.837Z","updated_at":"2021-09-30T09:27:40.837Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":5848,"fairsharing_record_id":541,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:40.887Z","updated_at":"2021-09-30T09:27:40.887Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5849,"fairsharing_record_id":541,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:27:40.913Z","updated_at":"2021-09-30T09:27:40.913Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"542","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:25.265Z","metadata":{"doi":"10.25504/FAIRsharing.feb85q","name":"Structured Descriptive Data","status":"ready","contacts":[{"contact_name":"Gregor Hagedorn","contact_email":"g.m.hagedorn@gmail.com"}],"homepage":"http://www.tdwg.org/standards/116/","identifier":542,"description":"In taxonomy, descriptive data takes a number of very different forms. The goal of the Structured Descriptive Data (SDD) standard is to allow capture, transport, caching and archiving of descriptive data in all of its varied forms, using a platform- and application-independent, international standard. Such a standard is crucial to enabling lossless porting of data between existing and future software platforms including identification, data-mining and analysis tools, and federated databases.","abbreviation":"SDD","support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://wiki.tdwg.org/twiki/bin/view/SDD/WebHome","type":"Help documentation"},{"url":"https://github.com/tdwg/sdd","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-000198","bsg-s000198"],"name":"FAIRsharing record for: Structured Descriptive Data","abbreviation":"SDD","url":"https://fairsharing.org/10.25504/FAIRsharing.feb85q","doi":"10.25504/FAIRsharing.feb85q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In taxonomy, descriptive data takes a number of very different forms. The goal of the Structured Descriptive Data (SDD) standard is to allow capture, transport, caching and archiving of descriptive data in all of its varied forms, using a platform- and application-independent, international standard. Such a standard is crucial to enabling lossless porting of data between existing and future software platforms including identification, data-mining and analysis tools, and federated databases.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12272}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5850,"fairsharing_record_id":542,"organisation_id":256,"relation":"maintains","created_at":"2021-09-30T09:27:40.937Z","updated_at":"2021-09-30T09:27:40.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":256,"name":"Biological Descriptions (BD), Biological Descriptions interest group (TDWG), Berlin, Germany","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"543","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2021-12-02T10:59:17.936Z","metadata":{"doi":"10.25504/FAIRsharing.75rf2e","name":"Nursing Care Coordination Ontology","status":"deprecated","contacts":[],"homepage":"http://bioportal.bioontology.org/ontologies/NCCO","citations":[],"identifier":543,"description":"Nursing Care Coordination Ontology contains activities that nurses use while coordinating care among patients.","abbreviation":"NCCO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCCO","name":"NCCO","portal":"BioPortal"}],"deprecation_date":"2021-12-02","deprecation_reason":"This resource has not been updated in BioPortal since its first upload in 2013, and no further information on the resource can be found. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001059","bsg-s001059"],"name":"FAIRsharing record for: Nursing Care Coordination Ontology","abbreviation":"NCCO","url":"https://fairsharing.org/10.25504/FAIRsharing.75rf2e","doi":"10.25504/FAIRsharing.75rf2e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Nursing Care Coordination Ontology contains activities that nurses use while coordinating care among patients.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12529}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":["Nurse"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"544","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-03-10T13:28:08.963Z","metadata":{"doi":"10.25504/FAIRsharing.qhn29e","name":"Core Attributes of Biological Databases","status":"ready","contacts":[{"contact_name":"Peter McQuilton","contact_email":"peter.mcquilton@oerc.ox.ac.uk"}],"homepage":"http://biocuration.org/community/standards-biodbcore/","citations":[{"doi":"10.1093/database/baq027","pubmed_id":21205783,"publication_id":2311}],"identifier":544,"description":"BioDBCore is a community-defined, uniform, generic description of the core attributes of biological databases. The BioDBCore checklist is overseen by the International Society for Biocuration (ISB), in collaboration with FAIRsharing.","abbreviation":"BioDBCore","support_links":[{"url":"http://biocuration.org/contact-the-isb/","type":"Contact form"},{"url":"intsocbio@gmail.com","type":"Support email"},{"url":"http://biocuration.org/community/standards-biodbcore/motivation/","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000162","bsg-s000162"],"name":"FAIRsharing record for: Core Attributes of Biological Databases","abbreviation":"BioDBCore","url":"https://fairsharing.org/10.25504/FAIRsharing.qhn29e","doi":"10.25504/FAIRsharing.qhn29e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioDBCore is a community-defined, uniform, generic description of the core attributes of biological databases. The BioDBCore checklist is overseen by the International Society for Biocuration (ISB), in collaboration with FAIRsharing.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11599}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":2311,"pubmed_id":21205783,"title":"Towards BioDBcore: a community-defined information specification for biological databases.","year":2011,"url":"http://doi.org/10.1093/database/baq027","authors":"Gaudet P,Bairoch A,Field D,Sansone SA,Taylor C,Attwood TK,Bateman A,Blake JA,Bult CJ,Cherry JM,Chisholm RL,Cochrane G,Cook CE,Eppig JT,Galperin MY,Gentleman R,Goble CA,Gojobori T,Hancock JM,Howe DG,Imanishi T,Kelso J,Landsman D,Lewis SE,Karsch Mizrachi I,Orchard S,Ouellette BF,Ranganathan S,Richardson L,Rocca-Serra P,Schofield PN,Smedley D,Southan C,Tan TW,Tatusova T,Whetzel PL,White O,Yamasaki C","journal":"Database (Oxford)","doi":"10.1093/database/baq027","created_at":"2021-09-30T08:26:43.503Z","updated_at":"2021-09-30T08:26:43.503Z"}],"licence_links":[],"grants":[{"id":5852,"fairsharing_record_id":544,"organisation_id":1516,"relation":"maintains","created_at":"2021-09-30T09:27:40.987Z","updated_at":"2021-09-30T09:27:40.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":1516,"name":"International Society for Biocuration (ISB)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8931,"fairsharing_record_id":544,"organisation_id":2281,"relation":"maintains","created_at":"2022-03-09T13:25:40.221Z","updated_at":"2022-03-09T13:25:40.221Z","grant_id":null,"is_lead":true,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"545","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-12-23T08:38:20.982Z","metadata":{"doi":"10.25504/FAIRsharing.p63yyx","name":"RBMS Controlled Vocabularies","status":"ready","contacts":[{"contact_name":"RBMS Controlled Vocabularies Editors","contact_email":"vocabularies@rbms.info"}],"homepage":"http://rbms.info/vocabularies/","citations":[],"identifier":545,"description":"These thesauri provide standardized vocabulary for retrieving special collections materials by form, genre, or by various physical characteristics that are typically of interest to researchers and special collections librarians, and for relating materials to individuals or corporate bodies.","abbreviation":"RBMS","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RBMS","name":"RBMS","portal":"BioPortal"}]},"legacy_ids":["bsg-001062","bsg-s001062"],"name":"FAIRsharing record for: RBMS Controlled Vocabularies","abbreviation":"RBMS","url":"https://fairsharing.org/10.25504/FAIRsharing.p63yyx","doi":"10.25504/FAIRsharing.p63yyx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These thesauri provide standardized vocabulary for retrieving special collections materials by form, genre, or by various physical characteristics that are typically of interest to researchers and special collections librarians, and for relating materials to individuals or corporate bodies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Literary Studies","Anthropology"],"domains":["Resource collection"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"565","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2024-01-28T09:57:20.244Z","metadata":{"doi":"10.25504/FAIRsharing.7e0974","name":"Ontologized MIABIS","status":"deprecated","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"mbrochhausen@gmail.com"}],"homepage":"https://github.com/OMIABIS/omiabis-dev","citations":[],"identifier":565,"description":"OMIABIS is an open-source ontology of biobank administration. OMIABIS stands for Ontologized MIABIS where MIABIS is the Minimum Information About BIobank data Sharing.","abbreviation":"OMIABIS","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMIABIS","name":"OMIABIS","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/omiabis.html","name":"OMIABIS in OBO Foundry (obsolete)","portal":"OBO Foundry"}],"deprecation_date":"2021-12-06","deprecation_reason":"This resource is no longer being maintained, and has been registered as deprecated with the OBO Foundry"},"legacy_ids":["bsg-000885","bsg-s000885"],"name":"FAIRsharing record for: Ontologized MIABIS","abbreviation":"OMIABIS","url":"https://fairsharing.org/10.25504/FAIRsharing.7e0974","doi":"10.25504/FAIRsharing.7e0974","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OMIABIS is an open-source ontology of biobank administration. OMIABIS stands for Ontologized MIABIS where MIABIS is the Minimum Information About BIobank data Sharing.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17340},{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17650},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12116}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Biobank"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"566","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:18:16.000Z","updated_at":"2022-11-01T11:57:35.286Z","metadata":{"doi":"10.25504/FAIRsharing.cuyPH9","name":"FAIR Metrics - Meets Community Standards","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_R1.3","citations":[],"identifier":566,"description":"FM-R1.3 is a metric concerned with certification, from a recognized body, of the resource meeting community standards. Various communities have recognized that maximizing the usability of their data requires them to adopt a set of guidelines for metadata (often in the form of “minimal information about…” models). Non-compliance with these standards will often render a dataset ‘reuseless’ because critical information about its context or provenance is missing. However, adherence to community standards does more than just improve reusability of the data. The software used by the community for analysis and visualization often depends on the (meta)data having certain fields; thus, non-compliance with standards may result in the data being unreadable by its associated tools. As such, data should be (individually) certified as being compliant, likely through some automated process (e.g. submitting the data to the community’s online validation service). A certification saying that the resource is compliant must be provided to fulfil this metric. This metric applies to part R1.3 of the FAIR Principles.","abbreviation":"FM-R1.3","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001355","bsg-s001355"],"name":"FAIRsharing record for: FAIR Metrics - Meets Community Standards","abbreviation":"FM-R1.3","url":"https://fairsharing.org/10.25504/FAIRsharing.cuyPH9","doi":"10.25504/FAIRsharing.cuyPH9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-R1.3 is a metric concerned with certification, from a recognized body, of the resource meeting community standards. Various communities have recognized that maximizing the usability of their data requires them to adopt a set of guidelines for metadata (often in the form of “minimal information about…” models). Non-compliance with these standards will often render a dataset ‘reuseless’ because critical information about its context or provenance is missing. However, adherence to community standards does more than just improve reusability of the data. The software used by the community for analysis and visualization often depends on the (meta)data having certain fields; thus, non-compliance with standards may result in the data being unreadable by its associated tools. As such, data should be (individually) certified as being compliant, likely through some automated process (e.g. submitting the data to the community’s online validation service). A certification saying that the resource is compliant must be provided to fulfil this metric. This metric applies to part R1.3 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance","Subject Agnostic"],"domains":["Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1408,"relation":"undefined"}],"grants":[{"id":5892,"fairsharing_record_id":566,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:42.014Z","updated_at":"2021-09-30T09:27:42.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5890,"fairsharing_record_id":566,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:41.964Z","updated_at":"2021-09-30T09:27:41.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5891,"fairsharing_record_id":566,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:41.989Z","updated_at":"2021-09-30T09:27:41.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5893,"fairsharing_record_id":566,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:42.040Z","updated_at":"2021-09-30T09:27:42.040Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"568","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-01-03T11:55:53.833Z","metadata":{"doi":"10.25504/FAIRsharing.p1nva","name":"KB_Bio_101","status":"ready","contacts":[{"contact_name":"Vinay Chaudhri","contact_email":"vinay.chaudhri@sri.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/AURA","citations":[],"identifier":568,"description":"KB-Bio-101 contains knowledge about processes and mechanisms, and was created from an introductory textbook in biology.","abbreviation":"AURA","support_links":[{"url":"https://www.sri.com/publication/chemistry-materials-energy-pubs/kb_bio_101-content-and-challenges/","name":"KB_Bio_101: Content and challenges. ","type":"Other"},{"url":"https://ceur-ws.org/Vol-1015/paper_6.pdf","name":"KB Bio 101 : A Challenge for OWL Reasoners","type":"Other"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AURA","name":"AURA","portal":"BioPortal"}]},"legacy_ids":["bsg-000756","bsg-s000756"],"name":"FAIRsharing record for: KB_Bio_101","abbreviation":"AURA","url":"https://fairsharing.org/10.25504/FAIRsharing.p1nva","doi":"10.25504/FAIRsharing.p1nva","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KB-Bio-101 contains knowledge about processes and mechanisms, and was created from an introductory textbook in biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Chromosome"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":3059,"relation":"applies_to_content"}],"grants":[{"id":10271,"fairsharing_record_id":568,"organisation_id":2623,"relation":"associated_with","created_at":"2023-01-03T11:51:30.771Z","updated_at":"2023-01-03T11:51:30.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"570","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-04T11:46:17.819Z","metadata":{"doi":"10.25504/FAIRsharing.yr6mb8","name":"Pilot Ontology","status":"deprecated","contacts":[],"homepage":"http://bioportal.bioontology.org/ontologies/1399","citations":[],"identifier":570,"description":"\"Pilot Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1399. This text was generated automatically. If you work on the project responsible for \"Pilot Ontology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"POL","deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002638","bsg-s002638"],"name":"FAIRsharing record for: Pilot Ontology","abbreviation":"POL","url":"https://fairsharing.org/10.25504/FAIRsharing.yr6mb8","doi":"10.25504/FAIRsharing.yr6mb8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Pilot Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1399. This text was generated automatically. If you work on the project responsible for \"Pilot Ontology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"571","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T12:00:37.253Z","metadata":{"doi":"10.25504/FAIRsharing.nc71b5","name":"Ontology of Craniofacial Development and Malformation","status":"ready","contacts":[{"contact_name":"Todd Detwiler","contact_email":"detwiler@sig.biostr.washington.edu"}],"homepage":"https://www.facebase.org/ocdm/","citations":[],"identifier":571,"description":"The Ontology of Craniofacial Development and Malformation (OCDM) is a mechanism for representing knowledge about craniofacial development and malformation, and for using that knowledge to facilitate integrating craniofacial data obtained via multiple techniques from multiple labs and at multiple levels of granularity. The OCDM is a project of the NIDCR-sponsored FaceBase Consortium, whose goal is to promote and enable research into the genetic and epigenetic causes of specific craniofacial abnormalities through the provision of publicly accessible, integrated craniofacial data. The OCDM is based on the Foundational Model of Anatomy (FMA) and includes modules to represent adult and developmental craniofacial anatomy in human, mouse and zebrafish, mappings between homologous structures in the different species, and associated malformations.","abbreviation":"OCDM","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCDM","name":"OCDM","portal":"BioPortal"}]},"legacy_ids":["bsg-000791","bsg-s000791"],"name":"FAIRsharing record for: Ontology of Craniofacial Development and Malformation","abbreviation":"OCDM","url":"https://fairsharing.org/10.25504/FAIRsharing.nc71b5","doi":"10.25504/FAIRsharing.nc71b5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Craniofacial Development and Malformation (OCDM) is a mechanism for representing knowledge about craniofacial development and malformation, and for using that knowledge to facilitate integrating craniofacial data obtained via multiple techniques from multiple labs and at multiple levels of granularity. The OCDM is a project of the NIDCR-sponsored FaceBase Consortium, whose goal is to promote and enable research into the genetic and epigenetic causes of specific craniofacial abnormalities through the provision of publicly accessible, integrated craniofacial data. The OCDM is based on the Foundational Model of Anatomy (FMA) and includes modules to represent adult and developmental craniofacial anatomy in human, mouse and zebrafish, mappings between homologous structures in the different species, and associated malformations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Medicine","Epigenetics","Genetics","Developmental Biology"],"domains":["Abnormal craniofacial development","Craniofacial phenotype"],"taxonomies":["Danio rerio","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8730,"fairsharing_record_id":571,"organisation_id":3125,"relation":"maintains","created_at":"2022-01-19T16:10:53.966Z","updated_at":"2022-01-19T16:10:53.966Z","grant_id":null,"is_lead":true,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"572","type":"fairsharing_records","attributes":{"created_at":"2020-12-16T11:49:28.000Z","updated_at":"2022-07-20T12:40:19.226Z","metadata":{"doi":"10.25504/FAIRsharing.d31795","name":"Library of Congress Subject Headings","status":"ready","contacts":[{"contact_name":"Judith Cannan","contact_email":"jcan@loc.gov"}],"homepage":"https://id.loc.gov/authorities/subjects.html","citations":[],"identifier":572,"description":"The Library of Congress Subject Headings (LCSH) provides catalog headings for materials held at the Library of Congress. Libraries throughout the United States use LCSH to provide subject access to their collections. LCSH is also used internationally, often in translation. The LCSH online resource includes all Library of Congress Subject Headings, free-floating subdivisions (topical and form), Genre/Form headings, Children's (AC) headings, and validation strings for which authority records have been created.","abbreviation":"LCSH","support_links":[{"url":"https://www.loc.gov/aba/contact/general_form.php","name":"Contact Form","type":"Contact form"},{"url":"https://www.loc.gov/aba/cataloging/subject/","name":"Subject Headings and Genre/Form Terms","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Library_of_Congress_Subject_Headings","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1898},"legacy_ids":["bsg-001568","bsg-s001568"],"name":"FAIRsharing record for: Library of Congress Subject Headings","abbreviation":"LCSH","url":"https://fairsharing.org/10.25504/FAIRsharing.d31795","doi":"10.25504/FAIRsharing.d31795","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Subject Headings (LCSH) provides catalog headings for materials held at the Library of Congress. Libraries throughout the United States use LCSH to provide subject access to their collections. LCSH is also used internationally, often in translation. The LCSH online resource includes all Library of Congress Subject Headings, free-floating subdivisions (topical and form), Genre/Form headings, Children's (AC) headings, and validation strings for which authority records have been created.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":2249,"relation":"undefined"}],"grants":[{"id":5894,"fairsharing_record_id":572,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:27:42.072Z","updated_at":"2021-09-30T09:27:42.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"573","type":"fairsharing_records","attributes":{"created_at":"2020-04-26T09:27:33.000Z","updated_at":"2022-07-20T10:08:50.025Z","metadata":{"doi":"10.25504/FAIRsharing.d9ea1b","name":"ICPSR Thesaurus","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"ICPSR-help@umich.edu"}],"homepage":"https://www.icpsr.umich.edu/web/ICPSR/thesaurus/index","identifier":573,"description":"The ICPSR Thesaurus is a controlled vocabulary system. Development of the ICPSR Thesaurus was supported by the National Science Foundation (SES-9977984). The scope of this thesaurus is multidisciplinary and is intended to reflect the subject range of the ICPSR archive. Social science disciplines represented include: political science, sociology, history, economics, education, criminal justice, gerontology, demography, public health, law, and international relations.","abbreviation":"ICPSR Thesaurus","support_links":[{"url":"https://www.icpsr.umich.edu/web/ICPSR/help/","type":"Help documentation"},{"url":"https://twitter.com/ICPSR","type":"Twitter"}]},"legacy_ids":["bsg-001468","bsg-s001468"],"name":"FAIRsharing record for: ICPSR Thesaurus","abbreviation":"ICPSR Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.d9ea1b","doi":"10.25504/FAIRsharing.d9ea1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICPSR Thesaurus is a controlled vocabulary system. Development of the ICPSR Thesaurus was supported by the National Science Foundation (SES-9977984). The scope of this thesaurus is multidisciplinary and is intended to reflect the subject range of the ICPSR archive. Social science disciplines represented include: political science, sociology, history, economics, education, criminal justice, gerontology, demography, public health, law, and international relations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Economic and Social History","Demographics","Social Science","Education Science","Geriatric Medicine","Health Science","Criminal Law","Political Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 United States (CC BY-NC 3.0 US)","licence_id":170,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/us/","link_id":659,"relation":"undefined"}],"grants":[{"id":5895,"fairsharing_record_id":573,"organisation_id":1393,"relation":"maintains","created_at":"2021-09-30T09:27:42.097Z","updated_at":"2021-09-30T09:27:42.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":1393,"name":"Institute for Social Research, University of Michigan, Ann Arbor, MI, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5896,"fairsharing_record_id":573,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:42.122Z","updated_at":"2021-09-30T09:32:29.354Z","grant_id":1642,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"SES-9977984","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"554","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-04-17T07:27:59.249Z","metadata":{"doi":"10.25504/FAIRsharing.7y955w","name":"Gene Ontology Extension","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium","contact_email":"go@geneontology.org"}],"homepage":"http://www.geneontology.org","citations":[],"identifier":554,"description":"Gene Ontology Extension","abbreviation":"GO-EXT","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GO-EXT","name":"GO-EXT","portal":"BioPortal"}]},"legacy_ids":["bsg-001064","bsg-s001064"],"name":"FAIRsharing record for: Gene Ontology Extension","abbreviation":"GO-EXT","url":"https://fairsharing.org/10.25504/FAIRsharing.7y955w","doi":"10.25504/FAIRsharing.7y955w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Ontology Extension","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Gene Ontology enrichment","Annotation","Sequence annotation","Gene functional annotation","Molecular function","Cellular component","Biological process","Data model","Protein","Transcript","Gene","Knowledge representation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"555","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T12:42:21.000Z","updated_at":"2023-05-05T07:52:22.376Z","metadata":{"doi":"10.25504/FAIRsharing.0Csgcz","name":"The Minimal Information for Reporting an Ontology Guidelines","status":"ready","contacts":[{"contact_name":"Nicolas Matentzoglu","contact_email":"nicolas.matentzoglu@manchester.ac.uk"}],"homepage":"https://github.com/owlcs/miro/blob/master/miro.md","citations":[{"doi":"10.1186/s13326-017-0172-7","pubmed_id":29347969,"publication_id":928}],"identifier":555,"description":"The MIRO guidelines are a community-validated set of recommendations on what should be reported about an ontology and its development, most importantly in the context of ontology description papers intended for publishing in scientific journals or conferences. The purpose of the community-reviewed MIRO guidelines is to significantly improve the quality of ontology description reports and other documentation, in particular by increasing consistent reporting of important ontology features that are otherwise often neglected.","abbreviation":"MIRO","support_links":[{"url":"https://github.com/owlcs/miro/tree/master/supplementary","name":"MIRO Community Feedback Data","type":"Github"},{"url":"https://robertdavidstevens.wordpress.com/2018/03/19/the-minimal-information-for-reporting-an-ontology-miro-guidelines/","name":"Blog Post: MIRO Guidelines","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001175","bsg-s001175"],"name":"FAIRsharing record for: The Minimal Information for Reporting an Ontology Guidelines","abbreviation":"MIRO","url":"https://fairsharing.org/10.25504/FAIRsharing.0Csgcz","doi":"10.25504/FAIRsharing.0Csgcz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIRO guidelines are a community-validated set of recommendations on what should be reported about an ontology and its development, most importantly in the context of ontology description papers intended for publishing in scientific journals or conferences. The purpose of the community-reviewed MIRO guidelines is to significantly improve the quality of ontology description reports and other documentation, in particular by increasing consistent reporting of important ontology features that are otherwise often neglected.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom","United States"],"publications":[{"id":928,"pubmed_id":29347969,"title":"MIRO: guidelines for minimum information for the reporting of an ontology.","year":2018,"url":"http://doi.org/10.1186/s13326-017-0172-7","authors":"Matentzoglu N,Malone J,Mungall C,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/s13326-017-0172-7","created_at":"2021-09-30T08:24:02.661Z","updated_at":"2021-09-30T08:24:02.661Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":494,"relation":"undefined"}],"grants":[{"id":5872,"fairsharing_record_id":555,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:41.514Z","updated_at":"2021-09-30T09:27:41.514Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5869,"fairsharing_record_id":555,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:27:41.438Z","updated_at":"2021-09-30T09:27:41.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5871,"fairsharing_record_id":555,"organisation_id":981,"relation":"maintains","created_at":"2021-09-30T09:27:41.489Z","updated_at":"2021-09-30T09:27:41.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":981,"name":"FactBio, Cambridge, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5870,"fairsharing_record_id":555,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:41.463Z","updated_at":"2021-09-30T09:30:12.717Z","grant_id":600,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J014176/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"556","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-02-21T10:36:03.136Z","metadata":{"doi":"10.25504/FAIRsharing.zchb68","name":"Mouse Developmental Stages","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://obofoundry.org/ontology/mmusdv.html","citations":[],"identifier":556,"description":"Life cycle stages for Mus Musculus. MmusDv was developed by the Bgee group with assistance from the core Uberon developers and the Mouse anatomy ontology developers. Currently it includes both embryonic stages and adult stages. ","abbreviation":"MMUSDV","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MMUSDV","name":"MMUSDV in BioPortal","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/mmusdv.html","name":"mmusdv in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001065","bsg-s001065"],"name":"FAIRsharing record for: Mouse Developmental Stages","abbreviation":"MMUSDV","url":"https://fairsharing.org/10.25504/FAIRsharing.zchb68","doi":"10.25504/FAIRsharing.zchb68","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Mus Musculus. MmusDv was developed by the Bgee group with assistance from the core Uberon developers and the Mouse anatomy ontology developers. Currently it includes both embryonic stages and adult stages. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Embryology"],"domains":["Life cycle stage"],"taxonomies":["Mus"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":3098,"relation":"applies_to_content"}],"grants":[{"id":10369,"fairsharing_record_id":556,"organisation_id":3597,"relation":"maintains","created_at":"2023-02-21T10:05:09.877Z","updated_at":"2023-02-21T10:05:09.877Z","grant_id":null,"is_lead":true,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"557","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:07:34.209Z","metadata":{"doi":"10.25504/FAIRsharing.zkdn1d","name":"Food and Agriculture Organization (FAO)-IPGRI-Bioversity Multi-Crop Passport Descriptor","status":"deprecated","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org"}],"homepage":"http://www.cropontology.org/ontology/CO_020/FAO-Bioversity%20Multi-Crop%20Passport%20Descriptors","citations":[],"identifier":557,"description":"The FAO/IPGRI Multi-Crop Passport Descriptor is part of the Crop Ontology (CO) project. The ontology has been adapted from the December 2015 version of the FAO/Bioversity Multi-Crop Passport Descriptors. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. This ontology is one of these reference plant ontologies integrated within the Crop Ontology. This ontology is currently unavailable from the Crop Ontology site, and therefore has been marked as uncertain. Please get in touch with us if you have information on this resource.","abbreviation":"CO_020","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001115","bsg-s001115"],"name":"FAIRsharing record for: Food and Agriculture Organization (FAO)-IPGRI-Bioversity Multi-Crop Passport Descriptor","abbreviation":"CO_020","url":"https://fairsharing.org/10.25504/FAIRsharing.zkdn1d","doi":"10.25504/FAIRsharing.zkdn1d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAO/IPGRI Multi-Crop Passport Descriptor is part of the Crop Ontology (CO) project. The ontology has been adapted from the December 2015 version of the FAO/Bioversity Multi-Crop Passport Descriptors. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. This ontology is one of these reference plant ontologies integrated within the Crop Ontology. This ontology is currently unavailable from the Crop Ontology site, and therefore has been marked as uncertain. Please get in touch with us if you have information on this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Plant Genetics"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1849,"relation":"undefined"}],"grants":[{"id":5875,"fairsharing_record_id":557,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:41.589Z","updated_at":"2021-09-30T09:27:41.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5873,"fairsharing_record_id":557,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:41.538Z","updated_at":"2021-09-30T09:27:41.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5874,"fairsharing_record_id":557,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:41.563Z","updated_at":"2021-09-30T09:27:41.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5876,"fairsharing_record_id":557,"organisation_id":485,"relation":"funds","created_at":"2021-09-30T09:27:41.613Z","updated_at":"2021-09-30T09:27:41.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"558","type":"fairsharing_records","attributes":{"created_at":"2021-03-17T10:04:32.000Z","updated_at":"2022-07-20T10:28:03.929Z","metadata":{"doi":"10.25504/FAIRsharing.9179e5","name":"Barley Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/POLAPGEN_BARLEY:ROOT","citations":[],"identifier":558,"description":"The Crop Ontology's (CO) current objective is to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The POLAPGEN Barley Ontology is one of CO terminologies, with a focus on traits used in genetics and bioinformatics.","abbreviation":"POLAPGEN_BARLEY","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001597","bsg-s001597"],"name":"FAIRsharing record for: Barley Trait Ontology","abbreviation":"POLAPGEN_BARLEY","url":"https://fairsharing.org/10.25504/FAIRsharing.9179e5","doi":"10.25504/FAIRsharing.9179e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Crop Ontology's (CO) current objective is to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The POLAPGEN Barley Ontology is one of CO terminologies, with a focus on traits used in genetics and bioinformatics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Bioinformatics","Genetics","Agriculture"],"domains":[],"taxonomies":["Hordeum vulgare"],"user_defined_tags":[],"countries":["Poland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":544,"relation":"undefined"}],"grants":[{"id":5877,"fairsharing_record_id":558,"organisation_id":2337,"relation":"maintains","created_at":"2021-09-30T09:27:41.639Z","updated_at":"2021-09-30T09:27:41.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":2337,"name":"POLAPGEN Applied Genetics and Genomics Consortium, Poland","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaXNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ccbb560936b5114f8775c9ff8132ee4fa79d6bb9/16a1deec-90a3-4f48-a266-e7288056fe70.jpeg?disposition=inline","exhaustive_licences":false}},{"id":"561","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-25T13:11:27.012Z","metadata":{"doi":"10.25504/FAIRsharing.v7ft18","name":"Imaging Mass Spectrometry Markup Language","status":"ready","contacts":[{"contact_name":"Andreas Roempp","contact_email":"andreas.roempp@uni-bayreuth.de"}],"homepage":"https://ms-imaging.org/imzml/data-structure/","citations":[],"identifier":561,"description":"The purpose of imzML is to facilitate the exchange and processing of mass spectrometry imaging data. This website is intended to provide all information necessary to implement imzML. imzML data format consists of two separate files: one for the metadata and one for the MS data. The metadata is saved in an XML file (*.imzML; the XML metadata model of imzML is the same as for mzML by HUPO-PSI). The mass spectral data is saved in a binary file (*.ibd). The connection between the two files is made via links in the XML file which hold the offsets of the mass spectral data in the binary file. It is important to keep in mind that the information of both file is only valid if no file is missing. imzML is it not limited to MS imaging, but is also useful for other MS applications generating large data sets such as LC-FTMS. ","abbreviation":"imzML","support_links":[{"url":"https://ms-imaging.org/contact/","name":"Contact imzML","type":"Contact form"},{"url":"https://ms-imaging.org/category/reference/literature/","name":"imzML Literature","type":"Help documentation"},{"url":"https://ms-imaging.org/imzml/","name":"imzML common data format overview","type":"Help documentation"},{"url":"https://github.com/imzML/imzML/tree/master","name":"imzML on GitHub","type":"Github"},{"url":"https://ms-imaging.org/imzml/controlled-vocabulary/","name":"Imaging MS controlled vocabulary","type":"Help documentation"},{"url":"https://ms-imaging.org/imzml/data-structure/","name":"imzML Data Structure","type":"Help documentation"},{"url":"https://ms-imaging.org/wp-content/uploads/2009/08/CVimagingMSList.pdf","name":"New imaging parameter controlled vocabulary (2009)","type":"Help documentation"},{"url":"https://ms-imaging.org/imzml/imzml-1-1-1/","name":"imzML 1.1.1 specification (2018)","type":"Other"}],"year_creation":2008,"associated_tools":[{"url":"https://gitlab.com/imzML/imzMLValidator/","name":"imzML Validator"},{"url":"https://ms-imaging.org/imzml/software-tools/","name":"imzML Software Tools"}]},"legacy_ids":["bsg-000111","bsg-s000111"],"name":"FAIRsharing record for: Imaging Mass Spectrometry Markup Language","abbreviation":"imzML","url":"https://fairsharing.org/10.25504/FAIRsharing.v7ft18","doi":"10.25504/FAIRsharing.v7ft18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of imzML is to facilitate the exchange and processing of mass spectrometry imaging data. This website is intended to provide all information necessary to implement imzML. imzML data format consists of two separate files: one for the metadata and one for the MS data. The metadata is saved in an XML file (*.imzML; the XML metadata model of imzML is the same as for mzML by HUPO-PSI). The mass spectral data is saved in a binary file (*.ibd). The connection between the two files is made via links in the XML file which hold the offsets of the mass spectral data in the binary file. It is important to keep in mind that the information of both file is only valid if no file is missing. imzML is it not limited to MS imaging, but is also useful for other MS applications generating large data sets such as LC-FTMS. ","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10913},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11028}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Scientific Instrument Design","Life Science","Omics"],"domains":["Bioimaging","Imaging","Small molecule","Mass spectrometry assay","Measurement"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Switzerland","United States"],"publications":[{"id":1401,"pubmed_id":21063949,"title":"imzML: Imaging Mass Spectrometry Markup Language: A common data format for mass spectrometry imaging.","year":2010,"url":"http://doi.org/10.1007/978-1-60761-987-1_12","authors":"Rompp A,Schramm T,Hester A,Klinkert I,Both JP,Heeren RM,Stockli M,Spengler B","journal":"Methods Mol Biol","doi":"10.1007/978-1-60761-987-1_12","created_at":"2021-09-30T08:24:56.661Z","updated_at":"2021-09-30T08:24:56.661Z"},{"id":4031,"pubmed_id":22842151,"title":"imzML — A common data format for the flexible exchange and processing of mass spectrometry imaging data","year":2012,"url":"http://dx.doi.org/10.1016/j.jprot.2012.07.026","authors":"Schramm, Thorsten; Hester, Zoë; Klinkert, Ivo; Both, Jean-Pierre; Heeren, Ron M.A.; Brunelle, Alain; Laprévote, Olivier; Desbenoit, Nicolas; Robbe, Marie-France; Stoeckli, Markus; Spengler, Bernhard; Römpp, Andreas; ","journal":"Journal of Proteomics","doi":"10.1016/j.jprot.2012.07.026","created_at":"2023-10-23T15:13:36.836Z","updated_at":"2023-10-23T15:13:36.836Z"}],"licence_links":[],"grants":[{"id":11029,"fairsharing_record_id":561,"organisation_id":4152,"relation":"funds","created_at":"2023-10-23T15:25:44.707Z","updated_at":"2023-10-23T15:25:44.707Z","grant_id":1984,"is_lead":false,"saved_state":{"id":4152,"name":"Mass Spectrometry Imaging Society","grant":"European Union [Contract LSHG-CT-2005-518194]","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11030,"fairsharing_record_id":561,"organisation_id":2380,"relation":"associated_with","created_at":"2023-10-23T15:25:45.017Z","updated_at":"2023-10-23T15:25:45.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11031,"fairsharing_record_id":561,"organisation_id":4153,"relation":"undefined","created_at":"2023-10-23T15:32:46.842Z","updated_at":"2023-10-23T15:32:46.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":4153,"name":"The Imaging Mass Spectrometry Society (IMSS)","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"562","type":"fairsharing_records","attributes":{"created_at":"2016-09-02T01:44:17.000Z","updated_at":"2021-11-24T13:18:38.646Z","metadata":{"doi":"10.25504/FAIRsharing.reqeqw","name":"Biological Dynamics Markup Language","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp","contact_orcid":"0000-0002-8255-1724"}],"homepage":"http://ssbd.qbic.riken.jp/bdml/","identifier":562,"description":"Biological Dynamics Markup Language is an open unified format for representing quantitative data of biological dynamics. BDML can describe a wide variety of spatiotemporal dynamics of biological objects from molecules to cells to organisms.","abbreviation":"BDML","year_creation":2013,"associated_tools":[{"url":"http://ssbd.qbic.riken.jp/BDML4DViewer/","name":"BDML4DViewer"},{"url":"http://ssbd.qbic.riken.jp/phenochar/","name":"phenochar"}]},"legacy_ids":["bsg-000674","bsg-s000674"],"name":"FAIRsharing record for: Biological Dynamics Markup Language","abbreviation":"BDML","url":"https://fairsharing.org/10.25504/FAIRsharing.reqeqw","doi":"10.25504/FAIRsharing.reqeqw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biological Dynamics Markup Language is an open unified format for representing quantitative data of biological dynamics. BDML can describe a wide variety of spatiotemporal dynamics of biological objects from molecules to cells to organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16914}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science","Systems Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1368,"pubmed_id":25414366,"title":"Biological Dynamics Markup Language (BDML): an open format for representing quantitative biological dynamics data","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu767","authors":"Kyoda, K., Tohsato, Y., Ho, K.H.L., Onami, S.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu767","created_at":"2021-09-30T08:24:52.983Z","updated_at":"2021-09-30T08:24:52.983Z"}],"licence_links":[],"grants":[{"id":5882,"fairsharing_record_id":562,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:41.764Z","updated_at":"2021-09-30T09:27:41.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5883,"fairsharing_record_id":562,"organisation_id":1669,"relation":"maintains","created_at":"2021-09-30T09:27:41.789Z","updated_at":"2021-09-30T09:27:41.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":1669,"name":"Laboratory for Developmental Dynamics, RIKEN Quantitative Biology Center, Kobe, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"563","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.085Z","metadata":{"doi":"10.25504/FAIRsharing.fhn1zb","name":"Traditional Medicine Signs and Symptoms Value Set","status":"ready","contacts":[{"contact_name":"Molly Meri Robinson Nicol","contact_email":"robinsonm@who.int"}],"homepage":"https://sites.google.com/site/whoictm/home","identifier":563,"description":"The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-SIGNS-AND-SYMPTS","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-SIGNS-AND-SYMPTS","name":"TM-SIGNS-AND-SYMPTS","portal":"BioPortal"}]},"legacy_ids":["bsg-002705","bsg-s002705"],"name":"FAIRsharing record for: Traditional Medicine Signs and Symptoms Value Set","abbreviation":"TM-SIGNS-AND-SYMPTS","url":"https://fairsharing.org/10.25504/FAIRsharing.fhn1zb","doi":"10.25504/FAIRsharing.fhn1zb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12496}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Traditional Medicine","Health Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5884,"fairsharing_record_id":563,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:41.813Z","updated_at":"2021-09-30T09:27:41.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5885,"fairsharing_record_id":563,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:27:41.839Z","updated_at":"2021-09-30T09:27:41.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"564","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:37:04.130Z","metadata":{"doi":"10.25504/FAIRsharing.s3r6sk","name":"Zebrafish anatomy and development","status":"ready","contacts":[{"contact_email":"curators@zfin.org"}],"homepage":"https://wiki.zfin.org/display/general/Anatomy+Atlases+and+Resources","identifier":564,"description":"A structured controlled vocabulary of the anatomy and development of the Zebrafish. If you work on the project responsible for \"Zebrafish anatomy and development\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"ZFA","support_links":[{"url":"https://sourceforge.net/p/obo/zebrafish-anatomy-zfa-term-requests/","name":"ZFIN Term Requests","type":"Forum"}],"year_creation":1999,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZFA","name":"ZFA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/zfa.html","name":"zfa","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000031","bsg-s000031"],"name":"FAIRsharing record for: Zebrafish anatomy and development","abbreviation":"ZFA","url":"https://fairsharing.org/10.25504/FAIRsharing.s3r6sk","doi":"10.25504/FAIRsharing.s3r6sk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy and development of the Zebrafish. If you work on the project responsible for \"Zebrafish anatomy and development\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Morphology","Structure","Life cycle","Life cycle stage"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1655,"pubmed_id":24568621,"title":"The zebrafish anatomy and stage ontologies: representing the anatomy and development of Danio rerio.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-12","authors":"Van Slyke CE,Bradford YM,Westerfield M,Haendel MA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-12","created_at":"2021-09-30T08:25:25.395Z","updated_at":"2021-09-30T08:25:25.395Z"}],"licence_links":[],"grants":[{"id":5889,"fairsharing_record_id":564,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:41.940Z","updated_at":"2021-09-30T09:27:41.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5887,"fairsharing_record_id":564,"organisation_id":3274,"relation":"maintains","created_at":"2021-09-30T09:27:41.889Z","updated_at":"2021-09-30T09:27:41.889Z","grant_id":null,"is_lead":false,"saved_state":{"id":3274,"name":"ZFIN administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5886,"fairsharing_record_id":564,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:41.864Z","updated_at":"2021-09-30T09:29:42.152Z","grant_id":365,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HG004838","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5888,"fairsharing_record_id":564,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:41.914Z","updated_at":"2021-09-30T09:32:20.271Z","grant_id":1573,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BDI-0641025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8027,"fairsharing_record_id":564,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:29.102Z","updated_at":"2021-09-30T09:30:29.159Z","grant_id":731,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HG002659","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"577","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T12:04:17.169Z","metadata":{"doi":"10.25504/FAIRsharing.mct09a","name":"Molecular Process Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"batchelorc@rsc.org"}],"homepage":"https://github.com/rsc-ontologies/rxno","citations":[],"identifier":577,"description":"The Molecular Process Ontology (MOP) was created to work together with the Name Reaction Ontology (RXNO). MOP describes underlying molecular processes in organic reactions such as cyclization, methylation and demethylation.","abbreviation":"MOP","support_links":[{"url":"https://github.com/rsc-ontologies/rxno/issues","name":"Issue Tracker","type":"Contact form"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOP","name":"MOP","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/mop.html","name":"mop","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000760","bsg-s000760"],"name":"FAIRsharing record for: Molecular Process Ontology","abbreviation":"MOP","url":"https://fairsharing.org/10.25504/FAIRsharing.mct09a","doi":"10.25504/FAIRsharing.mct09a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Molecular Process Ontology (MOP) was created to work together with the Name Reaction Ontology (RXNO). MOP describes underlying molecular processes in organic reactions such as cyclization, methylation and demethylation.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12111}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Chemistry"],"domains":["Reaction data"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2537,"relation":"applies_to_content"}],"grants":[{"id":8646,"fairsharing_record_id":577,"organisation_id":2467,"relation":"maintains","created_at":"2021-12-13T21:00:43.299Z","updated_at":"2021-12-13T21:00:43.299Z","grant_id":null,"is_lead":true,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"579","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T12:07:20.428Z","metadata":{"doi":"10.25504/FAIRsharing.yqn857","name":"Ontology of Arthropod Circulatory Systems","status":"uncertain","contacts":[{"contact_name":"Matt Yoder","contact_email":"mjyoder@illinois.edu"},{"contact_name":"Christian S. Wirkner ","contact_email":"christian.wirkner@uni-rostock.de","contact_orcid":null}],"homepage":"https://github.com/aszool/oarcs","citations":[],"identifier":579,"description":"OArCS is a structural model for the description of anatomical features (morphemes) using ontologies. Its domain is the Arthropod ciruclatory system. This ontology has not been updated recently, and therefore has been marked as uncertain. Please get in touch with us if you have any information.","abbreviation":"OArCS","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OARCS","name":"OARCS","portal":"BioPortal"}]},"legacy_ids":["bsg-000762","bsg-s000762"],"name":"FAIRsharing record for: Ontology of Arthropod Circulatory Systems","abbreviation":"OArCS","url":"https://fairsharing.org/10.25504/FAIRsharing.yqn857","doi":"10.25504/FAIRsharing.yqn857","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OArCS is a structural model for the description of anatomical features (morphemes) using ontologies. Its domain is the Arthropod ciruclatory system. This ontology has not been updated recently, and therefore has been marked as uncertain. Please get in touch with us if you have any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Angiology"],"domains":[],"taxonomies":["Arthropoda"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":3139,"pubmed_id":null,"title":"The first organ-based free ontology for arthropods (Ontology of Arthropod Circulatory Systems - OArCS) and its integration into a novel formalization scheme for morphological descriptions","year":2017,"url":"http://dx.doi.org/10.1093/sysbio/syw108","authors":"Wirkner, Christian S.; Göpel, Torben; Runge, Jens; Keiler, Jonas; Klussmann-Fricke, Bastian-Jesper; Huckstorf, Katarina; Scholz, Stephan; Mikó, Istvan; Yoder, Matt; Richter, Stefan; ","journal":"Syst Biol","doi":"10.1093/sysbio/syw108","created_at":"2021-11-25T22:21:49.614Z","updated_at":"2021-11-25T22:21:49.614Z"}],"licence_links":[],"grants":[{"id":8610,"fairsharing_record_id":579,"organisation_id":2071,"relation":"funds","created_at":"2021-11-25T22:24:03.724Z","updated_at":"2021-11-25T22:24:03.724Z","grant_id":1822,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI 13-56515","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8611,"fairsharing_record_id":579,"organisation_id":3320,"relation":"maintains","created_at":"2021-11-25T22:24:03.813Z","updated_at":"2021-11-25T22:24:03.813Z","grant_id":null,"is_lead":true,"saved_state":{"id":3320,"name":"The University of Rostock","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"580","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:08.745Z","metadata":{"doi":"10.25504/FAIRsharing.89qcm2","name":"Neuroscience Information Framework Gross Anatomy","status":"deprecated","contacts":[],"homepage":"http://purl.bioontology.org/ontology/nif","citations":[],"identifier":580,"description":"The \"Neuroscience Information Framework Gross Anatomy\" was developed as part of the NIF Standard Ontologies. It extended NeuroNames by including terms from BIRNLex, SumsDB, BrainMap.org, etc.; for multi-scale\nrepresentation of the nervous system and macroscopic anatomy. For more information, see the article \"Development and use of Ontologies Inside the Neuroscience Information Framework: A Practical Approach\" \nFT Imam et al, Front Genet 2012 Jun 22; 3:111. doi: 10.3389/fgene.2012.00111. eCollection 2012 https://pubmed.ncbi.nlm.nih.gov/22737162/","abbreviation":"NIF_GrossAnatomy","year_creation":2011,"deprecation_date":"2022-11-30","deprecation_reason":"Incorporated in/superseded by the NIF Standard Ontology (https://fairsharing.org/FAIRsharing.vgw1m6). Already listed as deprecated in its OBO entry https://obofoundry.org/ontology/nif_grossanatomy.html"},"legacy_ids":["bsg-000126","bsg-s000126"],"name":"FAIRsharing record for: Neuroscience Information Framework Gross Anatomy","abbreviation":"NIF_GrossAnatomy","url":"https://fairsharing.org/10.25504/FAIRsharing.89qcm2","doi":"10.25504/FAIRsharing.89qcm2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The \"Neuroscience Information Framework Gross Anatomy\" was developed as part of the NIF Standard Ontologies. It extended NeuroNames by including terms from BIRNLex, SumsDB, BrainMap.org, etc.; for multi-scale\nrepresentation of the nervous system and macroscopic anatomy. For more information, see the article \"Development and use of Ontologies Inside the Neuroscience Information Framework: A Practical Approach\" \nFT Imam et al, Front Genet 2012 Jun 22; 3:111. doi: 10.3389/fgene.2012.00111. eCollection 2012 https://pubmed.ncbi.nlm.nih.gov/22737162/","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":11533,"fairsharing_record_id":580,"organisation_id":2144,"relation":"maintains","created_at":"2024-03-21T13:58:08.667Z","updated_at":"2024-03-21T13:58:08.667Z","grant_id":null,"is_lead":false,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"581","type":"fairsharing_records","attributes":{"created_at":"2020-04-25T14:40:14.000Z","updated_at":"2022-11-22T21:01:11.877Z","metadata":{"doi":"10.25504/FAIRsharing.acd824","name":"European Language Social Science Thesaurus","status":"ready","contacts":[{"contact_name":"Carsten Thiel ","contact_email":"carsten.thiel@cessda.eu","contact_orcid":"0000-0003-0804-8992"}],"homepage":"https://thesauri.cessda.eu/en/","citations":[],"identifier":581,"description":"The European Language Social Science Thesaurus (ELSST) is a broad-based, multilingual thesaurus for the social sciences. It is owned and published by the Consortium of European Social Science Data Archives (CESSDA) and its national Service Providers. The thesaurus consists of over 3,300 concepts and covers the core social science disciplines: politics, sociology, economics, education, law, crime, demography, health, employment, information, communication technology, and environmental science.\nELSST is used for data discovery within CESSDA and facilitates access to data resources across Europe, independent of domain, resource, language, or vocabulary.\n\nELSST is currently available in 16 languages: Danish, Dutch, Czech, English, Finnish, French, German, Greek, Hungarian, Icelandic, Lithuanian, Norwegian, Romanian, Slovenian, Spanish, and Swedish","abbreviation":"ELSST","support_links":[{"url":"https://twitter.com/CESSDA_Data/","type":"Twitter"},{"url":"https://elsst.cessda.eu/guide/using-elsst","name":"Using ELSST","type":"Help documentation"},{"url":"support@cessda.eu","type":"Support email"},{"url":"https://www.youtube.com/channel/UCqbZKb1Enh-WcFpg6t86wsA","name":"CESSDA YouTube Channel","type":"Video"},{"url":"https://zenodo.org/record/7097110","name":"The European Language Social Science Thesaurus (ELSST)","type":"Other"}],"year_creation":2000},"legacy_ids":["bsg-001466","bsg-s001466"],"name":"FAIRsharing record for: European Language Social Science Thesaurus","abbreviation":"ELSST","url":"https://fairsharing.org/10.25504/FAIRsharing.acd824","doi":"10.25504/FAIRsharing.acd824","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Language Social Science Thesaurus (ELSST) is a broad-based, multilingual thesaurus for the social sciences. It is owned and published by the Consortium of European Social Science Data Archives (CESSDA) and its national Service Providers. The thesaurus consists of over 3,300 concepts and covers the core social science disciplines: politics, sociology, economics, education, law, crime, demography, health, employment, information, communication technology, and environmental science.\nELSST is used for data discovery within CESSDA and facilitates access to data resources across Europe, independent of domain, resource, language, or vocabulary.\n\nELSST is currently available in 16 languages: Danish, Dutch, Czech, English, Finnish, French, German, Greek, Hungarian, Icelandic, Lithuanian, Norwegian, Romanian, Slovenian, Spanish, and Swedish","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Social Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Norway","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2709,"relation":"applies_to_content"}],"grants":[{"id":5904,"fairsharing_record_id":581,"organisation_id":602,"relation":"funds","created_at":"2021-09-30T09:27:42.322Z","updated_at":"2021-09-30T09:27:42.322Z","grant_id":null,"is_lead":false,"saved_state":{"id":602,"name":"Consortium of European Social Science Data Archives","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5905,"fairsharing_record_id":581,"organisation_id":602,"relation":"maintains","created_at":"2021-09-30T09:27:42.348Z","updated_at":"2022-11-22T13:27:42.475Z","grant_id":null,"is_lead":true,"saved_state":{"id":602,"name":"Consortium of European Social Science Data Archives","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ee784912b873e09e9d907ebf15f37fb26c0ce50d/Screenshot%20from%202022-11-22%2021-00-34.png?disposition=inline","exhaustive_licences":true}},{"id":"551","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.320Z","metadata":{"doi":"10.25504/FAIRsharing.3kcgmr","name":"Common Anatomy Reference Ontology","status":"ready","contacts":[{"contact_name":"Melissa Haendel","contact_email":"haendel@ohsu.edu","contact_orcid":"0000-0001-9114-8737"}],"homepage":"http://bioportal.bioontology.org/ontologies/CARO?p=summary","identifier":551,"description":"The Common Anatomy Reference Ontology (CARO) is being developed to facilitate interoperability between existing anatomy ontologies for different species, and will provide a template for building new anatomy ontologies.","abbreviation":"CARO","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CARO","name":"CARO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/caro.html","name":"caro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000008","bsg-s000008"],"name":"FAIRsharing record for: Common Anatomy Reference Ontology","abbreviation":"CARO","url":"https://fairsharing.org/10.25504/FAIRsharing.3kcgmr","doi":"10.25504/FAIRsharing.3kcgmr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Common Anatomy Reference Ontology (CARO) is being developed to facilitate interoperability between existing anatomy ontologies for different species, and will provide a template for building new anatomy ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11913}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Annotation"],"taxonomies":["Vertebrata"],"user_defined_tags":["Interoperability"],"countries":["United States"],"publications":[{"id":1005,"pubmed_id":null,"title":"CARO – The Common Anatomy Reference Ontology","year":2008,"url":"http://doi.org/10.1007/978-1-84628-885-2_16","authors":"Melissa A. Haendel, Fabian Neuhaus, David Osumi-Sutherland, Paula M. Mabee, Jos L.V. MejinoJr., Chris J. Mungall, Barry Smith","journal":"Anatomy Ontologies for Bioinformatics, Volume 6 of the series Computational Biology pp 327-349","doi":"10.1007/978-1-84628-885-2_16","created_at":"2021-09-30T08:24:11.205Z","updated_at":"2021-09-30T08:24:11.205Z"},{"id":2325,"pubmed_id":null,"title":"Anatomy Ontologies for Bioinformatics","year":2008,"url":"https://www.springer.com/gp/book/9781846288845","authors":"Albert Burger, Duncan Davidson and Richard Baldock","journal":"Springer","doi":null,"created_at":"2021-09-30T08:26:45.393Z","updated_at":"2021-09-30T08:26:45.393Z"}],"licence_links":[],"grants":[{"id":5862,"fairsharing_record_id":551,"organisation_id":378,"relation":"maintains","created_at":"2021-09-30T09:27:41.247Z","updated_at":"2021-09-30T09:27:41.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":378,"name":"CARO administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"552","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:18.037Z","metadata":{"doi":"10.25504/FAIRsharing.75nsn6","name":"Neuroimaging Data Model","status":"ready","contacts":[{"contact_name":"Nolan Nichols","contact_email":"nolan.nichols@gmail.com","contact_orcid":"0000-0003-1099-3328"}],"homepage":"http://nidm.nidash.org/","identifier":552,"description":"The Neuroimaging Data Model (NIDM) is a collection of specification documents and examples that outline a domain specific extension to the W3C Provenance Data Model (PROV-DM) for the exchange and sharing of human brain imaging data. The goal of the data model is to capture data, information about the data and processes that generated the data (i.e. provenance). This information can be converted to RDF and therefore queried using SPARQL. This representation allows machine accessible representations of brain imaging data and will provide links to related resources such as publications, virtual machines, people and funding agencies.","abbreviation":"NIDM","support_links":[{"url":"info@nidash.org","type":"Support email"},{"url":"http://nidm.nidash.org/getting-started/","type":"Help documentation"},{"url":"https://github.com/incf-nidash","type":"Github"},{"url":"http://nidm.nidash.org/specs/","type":"Help documentation"},{"url":"https://twitter.com/INCForg","type":"Twitter"}],"year_creation":2014},"legacy_ids":["bsg-000546","bsg-s000546"],"name":"FAIRsharing record for: Neuroimaging Data Model","abbreviation":"NIDM","url":"https://fairsharing.org/10.25504/FAIRsharing.75nsn6","doi":"10.25504/FAIRsharing.75nsn6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neuroimaging Data Model (NIDM) is a collection of specification documents and examples that outline a domain specific extension to the W3C Provenance Data Model (PROV-DM) for the exchange and sharing of human brain imaging data. The goal of the data model is to capture data, information about the data and processes that generated the data (i.e. provenance). This information can be converted to RDF and therefore queried using SPARQL. This representation allows machine accessible representations of brain imaging data and will provide links to related resources such as publications, virtual machines, people and funding agencies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology","Life Science"],"domains":["Imaging","Image","Brain","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["United States"],"publications":[{"id":1332,"pubmed_id":23727024,"title":"Towards structured sharing of raw and derived neuroimaging data across existing resources.","year":2013,"url":"http://doi.org/10.1016/j.neuroimage.2013.05.094","authors":"Keator DB,Helmer K,Steffener J,Turner JA,Van Erp TG,Gadde S,Ashish N,Burns GA,Nichols BN","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2013.05.094","created_at":"2021-09-30T08:24:49.076Z","updated_at":"2021-09-30T08:24:49.076Z"}],"licence_links":[],"grants":[{"id":5863,"fairsharing_record_id":552,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:41.272Z","updated_at":"2021-09-30T09:31:14.291Z","grant_id":1080,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"100309/Z/12/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5866,"fairsharing_record_id":552,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:27:41.351Z","updated_at":"2021-09-30T09:27:41.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5864,"fairsharing_record_id":552,"organisation_id":267,"relation":"funds","created_at":"2021-09-30T09:27:41.297Z","updated_at":"2021-09-30T09:30:46.898Z","grant_id":867,"is_lead":false,"saved_state":{"id":267,"name":"Biomedical Informatics Research Network (BIRN)","grant":"NIH 1 U24 RR025736-01","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5865,"fairsharing_record_id":552,"organisation_id":999,"relation":"funds","created_at":"2021-09-30T09:27:41.321Z","updated_at":"2021-09-30T09:30:18.379Z","grant_id":647,"is_lead":false,"saved_state":{"id":999,"name":"FBIRN","grant":"NIH 1 U24 U24 RR021992","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"553","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:53.935Z","metadata":{"doi":"10.25504/FAIRsharing.mk2fp3","name":"CDISC Dataset-XML","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/dataset-xml","identifier":553,"description":"Dataset-XML supports exchanging tabular data in clinical research applications using ODM-based XML technologies, enabling the communication of study datasets for regulatory submissions.","abbreviation":"Dataset-XML"},"legacy_ids":["bsg-000567","bsg-s000567"],"name":"FAIRsharing record for: CDISC Dataset-XML","abbreviation":"Dataset-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.mk2fp3","doi":"10.25504/FAIRsharing.mk2fp3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dataset-XML supports exchanging tabular data in clinical research applications using ODM-based XML technologies, enabling the communication of study datasets for regulatory submissions.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17391},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11810},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12058},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12483}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens","Metazoa"],"user_defined_tags":["Non-clinical trial"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5868,"fairsharing_record_id":553,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:41.415Z","updated_at":"2021-09-30T09:27:41.415Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5867,"fairsharing_record_id":553,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:27:41.381Z","updated_at":"2021-09-30T09:27:41.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"559","type":"fairsharing_records","attributes":{"created_at":"2016-09-06T15:44:38.000Z","updated_at":"2021-11-24T13:18:38.352Z","metadata":{"doi":"10.25504/FAIRsharing.6bw40w","name":"Graphical Pathway Markup Language","status":"ready","homepage":"https://www.pathvisio.org/gpml/","identifier":559,"description":"Markup Language for graphical representations of biological pathways.","abbreviation":"GPML","support_links":[{"url":"https://www.pathvisio.org/data/gpml/GPML2013a.xsd.html","name":"Technical Documentation","type":"Help documentation"}],"associated_tools":[{"url":"http://pathvisio.org/","name":"PathVisio"}]},"legacy_ids":["bsg-000675","bsg-s000675"],"name":"FAIRsharing record for: Graphical Pathway Markup Language","abbreviation":"GPML","url":"https://fairsharing.org/10.25504/FAIRsharing.6bw40w","doi":"10.25504/FAIRsharing.6bw40w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Markup Language for graphical representations of biological pathways.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Systems Biology"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands","United States"],"publications":[],"licence_links":[],"grants":[{"id":5878,"fairsharing_record_id":559,"organisation_id":2989,"relation":"maintains","created_at":"2021-09-30T09:27:41.664Z","updated_at":"2021-09-30T09:27:41.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":2989,"name":"Universiteit Maastricht, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"560","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-12-20T16:34:51.103Z","metadata":{"doi":"10.25504/FAIRsharing.x6dcc7","name":"Minimum Information about an ENVironmental transcriptomic experiment","status":"deprecated","contacts":[{"contact_name":"NEBC Team","contact_email":"admin@nebc.nox.ac.uk"},{"contact_name":"Fiona Goff","contact_email":"fiona.goff@nerc.ukri.org","contact_orcid":null}],"homepage":"http://nebc.nox.ac.uk/miame/miame_env.html","citations":[],"identifier":560,"description":"MIAME defines a conceptual structure for defining the core information that is common to most microarray experiments. MIAME/Env is an extension of these guidelines to cover environmental genomics.","abbreviation":"MIAME/Env","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/mged-envg","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIAME-Env.shtml","type":"Help documentation"},{"url":"http://nebc.nox.ac.uk/miame/MIAME1.6-envDraft-2.pdf","type":"Help documentation"}],"year_creation":2003,"deprecation_date":"2021-12-17","deprecation_reason":"The organisation has confirmed that the website is no longer in use and the resource should be deprecated."},"legacy_ids":["bsg-000168","bsg-s000168"],"name":"FAIRsharing record for: Minimum Information about an ENVironmental transcriptomic experiment","abbreviation":"MIAME/Env","url":"https://fairsharing.org/10.25504/FAIRsharing.x6dcc7","doi":"10.25504/FAIRsharing.x6dcc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME defines a conceptual structure for defining the core information that is common to most microarray experiments. MIAME/Env is an extension of these guidelines to cover environmental genomics.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11578},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11972},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12421}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Ribonucleic acid","Environmental material","Nucleic acid hybridization","DNA microarray"],"taxonomies":["All"],"user_defined_tags":["Metatranscriptome"],"countries":["United Kingdom"],"publications":[{"id":1387,"pubmed_id":16901223,"title":"Annotation of environmental OMICS data: application to the transcriptomics domain.","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.172","authors":"Morrison N,Wood AJ,Hancock D,Shah S,Hakes L,Gray T,Tiwari B,Kille P,Cossins A,Hegarty M,Allen MJ,Wilson WH,Olive P,Last K,Kramer C,Bailhache T,Reeves J,Pallett D,Warne J,Nashar K,Parkinson H,Sansone SA,Rocca-Serra P,Stevens R,Snape J,Brass A,Field D","journal":"OMICS","doi":"10.1089/omi.2006.10.172","created_at":"2021-09-30T08:24:55.076Z","updated_at":"2021-09-30T08:24:55.076Z"}],"licence_links":[],"grants":[{"id":8652,"fairsharing_record_id":560,"organisation_id":2090,"relation":"maintains","created_at":"2021-12-17T11:08:52.998Z","updated_at":"2021-12-17T11:08:52.998Z","grant_id":null,"is_lead":true,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"575","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:21.248Z","metadata":{"doi":"10.25504/FAIRsharing.s51qk5","name":"CDISC Study Data Tabulation Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/sdtm","identifier":575,"description":"SDTM provides a standard for organizing and formatting data to streamline processes in collection, management, analysis and reporting. Implementing SDTM supports data aggregation and warehousing; fosters mining and reuse; facilitates sharing; helps perform due diligence and other important data review activities; and improves the regulatory review and approval process. SDTM is also used in non-clinical data (SEND), medical devices and pharmacogenomics/genetics studies.","abbreviation":"CDISC SDTM","support_links":[{"url":"https://www.cdisc.org/education/course/sdtm-theory-and-application","name":"SDTM Theory and Application","type":"Training documentation"},{"url":"https://www.cdisc.org/education/course/sdtm-theory-and-application-medical-devices","name":"SDTM Theory and Application for Medical Devices","type":"Training documentation"}]},"legacy_ids":["bsg-000049","bsg-s000049"],"name":"FAIRsharing record for: CDISC Study Data Tabulation Model","abbreviation":"CDISC SDTM","url":"https://fairsharing.org/10.25504/FAIRsharing.s51qk5","doi":"10.25504/FAIRsharing.s51qk5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SDTM provides a standard for organizing and formatting data to streamline processes in collection, management, analysis and reporting. Implementing SDTM supports data aggregation and warehousing; fosters mining and reuse; facilitates sharing; helps perform due diligence and other important data review activities; and improves the regulatory review and approval process. SDTM is also used in non-clinical data (SEND), medical devices and pharmacogenomics/genetics studies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17344},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11021},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11266},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11803},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11941},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12405},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16958}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Device"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5897,"fairsharing_record_id":575,"organisation_id":2313,"relation":"maintains","created_at":"2021-09-30T09:27:42.148Z","updated_at":"2021-09-30T09:27:42.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5899,"fairsharing_record_id":575,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:42.198Z","updated_at":"2021-09-30T09:27:42.198Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5898,"fairsharing_record_id":575,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:27:42.172Z","updated_at":"2021-09-30T09:27:42.172Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5900,"fairsharing_record_id":575,"organisation_id":2952,"relation":"maintains","created_at":"2021-09-30T09:27:42.222Z","updated_at":"2021-09-30T09:27:42.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"576","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:20.563Z","metadata":{"doi":"10.25504/FAIRsharing.dbsfqf","name":"Yeast Phenotypes","status":"ready","contacts":[{"contact_name":"SGD Helpdesk","contact_email":"sgd-helpdesk@lists.stanford.edu","contact_orcid":"0000-0001-9163-5180"}],"homepage":"http://www.yeastgenome.org/ontology/phenotype/ypo/overview","identifier":576,"description":"Features of Saccharomyces cerevisiae cells, cultures, or colonies that can be detected, observed, measured, or monitored.","abbreviation":"YPO"},"legacy_ids":["bsg-000292","bsg-s000292"],"name":"FAIRsharing record for: Yeast Phenotypes","abbreviation":"YPO","url":"https://fairsharing.org/10.25504/FAIRsharing.dbsfqf","doi":"10.25504/FAIRsharing.dbsfqf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Features of Saccharomyces cerevisiae cells, cultures, or colonies that can be detected, observed, measured, or monitored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phylogenetics","Life Science"],"domains":["Gene Ontology enrichment","Phenotype"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5902,"fairsharing_record_id":576,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:42.272Z","updated_at":"2021-09-30T09:27:42.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5901,"fairsharing_record_id":576,"organisation_id":2479,"relation":"maintains","created_at":"2021-09-30T09:27:42.248Z","updated_at":"2021-09-30T09:27:42.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":2479,"name":"Saccharomyces Genome Database","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"728","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:22:16.645Z","metadata":{"doi":"10.25504/FAIRsharing.czzmpg","name":"Wheat Ontology","status":"ready","contacts":[{"contact_name":"Rosemary Shrestha","contact_email":"R.Shrestha2@cgiar.org","contact_orcid":"0000-0002-9399-8003"}],"homepage":"https://cropontology.org/term/CO_321:ROOT","citations":[],"identifier":728,"description":"This ontology defines traits of the International Wheat Information System (IWIS) database and wheat descriptor. The Wheat Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_321","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Feedback","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CO-WHEAT","name":"CO-WHEAT","portal":"BioPortal"}]},"legacy_ids":["bsg-002696","bsg-s002696"],"name":"FAIRsharing record for: Wheat Ontology","abbreviation":"CO_321","url":"https://fairsharing.org/10.25504/FAIRsharing.czzmpg","doi":"10.25504/FAIRsharing.czzmpg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology defines traits of the International Wheat Information System (IWIS) database and wheat descriptor. The Wheat Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16733}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Triticum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1306,"pubmed_id":22476066,"title":"Multifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature.","year":2010,"url":"http://doi.org/10.1093/aobpla/plq008","authors":"Shrestha R,Arnaud E,Mauleon R,Senger M,Davenport GF,Hancock D,Morrison N,Bruskiewich R,McLaren G","journal":"AoB Plants","doi":"10.1093/aobpla/plq008","created_at":"2021-09-30T08:24:45.859Z","updated_at":"2021-09-30T08:24:45.859Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1853,"relation":"undefined"}],"grants":[{"id":6084,"fairsharing_record_id":728,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:48.095Z","updated_at":"2021-09-30T09:27:48.095Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6087,"fairsharing_record_id":728,"organisation_id":1101,"relation":"funds","created_at":"2021-09-30T09:27:48.204Z","updated_at":"2021-09-30T09:29:25.929Z","grant_id":247,"is_lead":false,"saved_state":{"id":1101,"name":"Generation Challenge Programme, Mexico","grant":"G4009-03","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8383,"fairsharing_record_id":728,"organisation_id":1101,"relation":"funds","created_at":"2021-09-30T09:32:23.193Z","updated_at":"2021-09-30T09:32:23.244Z","grant_id":1596,"is_lead":false,"saved_state":{"id":1101,"name":"Generation Challenge Programme, Mexico","grant":"G4005.22","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6085,"fairsharing_record_id":728,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:27:48.148Z","updated_at":"2021-09-30T09:27:48.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6086,"fairsharing_record_id":728,"organisation_id":490,"relation":"maintains","created_at":"2021-09-30T09:27:48.180Z","updated_at":"2021-09-30T09:27:48.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":490,"name":"CGIAR Research Program on Wheat","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6082,"fairsharing_record_id":728,"organisation_id":2118,"relation":"funds","created_at":"2021-09-30T09:27:48.046Z","updated_at":"2021-09-30T09:32:45.946Z","grant_id":1768,"is_lead":false,"saved_state":{"id":2118,"name":"NERC Environmental Bioinformatics Centre","grant":"F3/G13/18/04","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6083,"fairsharing_record_id":728,"organisation_id":887,"relation":"funds","created_at":"2021-09-30T09:27:48.071Z","updated_at":"2021-09-30T09:30:41.113Z","grant_id":821,"is_lead":false,"saved_state":{"id":887,"name":"EU FP6 ActinoGEN project","grant":"EU Framework 6 ActinoGEN project","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"729","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:06.763Z","metadata":{"doi":"10.25504/FAIRsharing.jb7wzc","name":"Marine Environmental Data and Information Network checklist","status":"ready","contacts":[{"contact_name":"Metadata Helpdesk","contact_email":"medin.metadata@mba.ac.uk"}],"homepage":"http://www.oceannet.org/marine_data_standards/medin_disc_stnd.html","identifier":729,"description":"MEDIN is a list of information that accompanies a data set and allows other people to find out what the data set contains, where it was collected and how they can get hold of it. It is a standard for marine metadata and a set of tools to create metadata records that comply with the MEDIN Metadata Standard.","abbreviation":"MEDIN","support_links":[{"url":"http://www.oceannet.org/marine_data_standards/mds_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.oceannet.org/library/key_documents/key_docs.html","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000555","bsg-s000555"],"name":"FAIRsharing record for: Marine Environmental Data and Information Network checklist","abbreviation":"MEDIN","url":"https://fairsharing.org/10.25504/FAIRsharing.jb7wzc","doi":"10.25504/FAIRsharing.jb7wzc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MEDIN is a list of information that accompanies a data set and allows other people to find out what the data set contains, where it was collected and how they can get hold of it. It is a standard for marine metadata and a set of tools to create metadata records that comply with the MEDIN Metadata Standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"OceanNet Privacy Policy","licence_id":608,"licence_url":"http://www.oceannet.org/privacy_and_cookies/","link_id":85,"relation":"undefined"}],"grants":[{"id":6088,"fairsharing_record_id":729,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:27:48.228Z","updated_at":"2021-09-30T09:27:48.228Z","grant_id":null,"is_lead":false,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"730","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T22:15:33.000Z","updated_at":"2023-09-29T11:54:57.742Z","metadata":{"doi":"10.25504/FAIRsharing.bb70ee","name":"Language resource management - Lexical markup framework (LMF)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37327.html","citations":[],"identifier":730,"description":"ISO 24613:2008 describes the Lexical Markup Framework (LMF), a metamodel for representing data in lexical databases used with monolingual and multilingual computer applications. LMF provides mechanisms that allow the development and integration of a variety of electronic lexical resource types. These mechanisms will present existing lexicons as far as possible. If this is impossible, problematic information will be identified and isolated. This standard will be revised, with the new revision consisting of five parts, however until this time, this version remains current.","abbreviation":"ISO 24613:2008","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37327.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2008},"legacy_ids":["bsg-001250","bsg-s001250"],"name":"FAIRsharing record for: Language resource management - Lexical markup framework (LMF)","abbreviation":"ISO 24613:2008","url":"https://fairsharing.org/10.25504/FAIRsharing.bb70ee","doi":"10.25504/FAIRsharing.bb70ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24613:2008 describes the Lexical Markup Framework (LMF), a metamodel for representing data in lexical databases used with monolingual and multilingual computer applications. LMF provides mechanisms that allow the development and integration of a variety of electronic lexical resource types. These mechanisms will present existing lexicons as far as possible. If this is impossible, problematic information will be identified and isolated. This standard will be revised, with the new revision consisting of five parts, however until this time, this version remains current.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":287,"relation":"undefined"}],"grants":[{"id":10918,"fairsharing_record_id":730,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:08:18.822Z","updated_at":"2023-09-27T14:08:18.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6089,"fairsharing_record_id":730,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:27:48.254Z","updated_at":"2021-09-30T09:27:48.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"731","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T15:37:09.037Z","metadata":{"doi":"10.25504/FAIRsharing.xk98ez","name":"NimbleGen Gene Description","status":"deprecated","contacts":[],"homepage":"https://dmac.cbs.dtu.dk/service/data-formats","citations":[],"identifier":731,"description":"The NimbleGen Gene Description is a text tabular format that contains descriptive information (annotation) about the genes on an array. Please note that Roche issued a statement in 2012 as follows: \"As previously announced in June 2012, Roche has exited the DNA microarray business. All products and services for NimbleGen CGH, ChIP-chip, DNA Methylation, AccuSNP, CGS, and Gene Expression microarrays and their associated workflows are no longer available from Roche\" (Source: http://genomics.nd.edu/nimblegen-microarrays).","abbreviation":null,"deprecation_date":"2023-03-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n"},"legacy_ids":["bsg-000251","bsg-s000251"],"name":"FAIRsharing record for: NimbleGen Gene Description","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xk98ez","doi":"10.25504/FAIRsharing.xk98ez","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NimbleGen Gene Description is a text tabular format that contains descriptive information (annotation) about the genes on an array. Please note that Roche issued a statement in 2012 as follows: \"As previously announced in June 2012, Roche has exited the DNA microarray business. All products and services for NimbleGen CGH, ChIP-chip, DNA Methylation, AccuSNP, CGS, and Gene Expression microarrays and their associated workflows are no longer available from Roche\" (Source: http://genomics.nd.edu/nimblegen-microarrays).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12437}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Expression data","Annotation","Deoxyribonucleic acid","Microarray experiment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"732","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-03T11:12:09.639Z","metadata":{"doi":"10.25504/FAIRsharing.qrr33y","name":"Flow Cytometry Data File Standard","status":"ready","contacts":[{"contact_name":"Ryan R. Brinkman","contact_email":"rbrinkman@bccrc.ca","contact_orcid":"0000-0002-9765-2990"}],"homepage":"https://isac-net.org/page/Data-Standards","citations":[],"identifier":732,"description":"The flow cytometry data file standard provides the specifications needed to completely describe flow cytometry data sets within the confines of the file containing the experimental data.","abbreviation":"FCS","support_links":[{"url":"isac@isac-net.org","type":"Support email"},{"url":"https://acrobat.adobe.com/link/review?uri=urn:aaid:scds:US:6a9bb787-839c-3d29-9800-4191c3209260","name":"Normative version of the FCS 3.1 specification","type":"Help documentation"},{"url":"http://onlinelibrary.wiley.com/doi/10.1002/cyto.a.22018/pdf","name":"FCS 3.1 Implementation Guidance","type":"Help documentation"}],"year_creation":1984},"legacy_ids":["bsg-000565","bsg-s000565"],"name":"FAIRsharing record for: Flow Cytometry Data File Standard","abbreviation":"FCS","url":"https://fairsharing.org/10.25504/FAIRsharing.qrr33y","doi":"10.25504/FAIRsharing.qrr33y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The flow cytometry data file standard provides the specifications needed to completely describe flow cytometry data sets within the confines of the file containing the experimental data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","United States","European Union"],"publications":[{"id":659,"pubmed_id":19937951,"title":"Data File Standard for Flow Cytometry, version FCS 3.1.","year":2009,"url":"http://doi.org/10.1002/cyto.a.20825","authors":"Spidlen J, Moore W, Parks D, Goldberg M, Bray C, Bierre P, Gorombey P, Hyun B, Hubbard M, Lange S, Lefebvre R, Leif R, Novo D, Ostruszka L, Treister A, Wood J, Murphy RF, Roederer M, Sudar D, Zigon R, Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.20825","created_at":"2021-09-30T08:23:32.752Z","updated_at":"2021-09-30T08:23:32.752Z"}],"licence_links":[],"grants":[{"id":6091,"fairsharing_record_id":732,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:48.306Z","updated_at":"2021-09-30T09:27:48.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6090,"fairsharing_record_id":732,"organisation_id":1515,"relation":"funds","created_at":"2021-09-30T09:27:48.278Z","updated_at":"2021-09-30T09:27:48.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":1515,"name":"International Society for Advancement of Cytometry (ISAC)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6092,"fairsharing_record_id":732,"organisation_id":1829,"relation":"funds","created_at":"2021-09-30T09:27:48.330Z","updated_at":"2021-09-30T09:27:48.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":1829,"name":"Michael Smith Foundation for Health Research, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"733","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:47.073Z","metadata":{"doi":"10.25504/FAIRsharing.y9d8rt","name":"Proteomics Pipeline Infrastructure for CPTAC","status":"uncertain","contacts":[{"contact_name":"Fan Zhang","contact_email":"fanzhan@iupui.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1192","identifier":733,"description":"A basic ontology which describes the proteomics pipeline infrastructure for CPTAC project","abbreviation":"CPTAC","support_links":[{"url":"cancer.proteomics@mail.nih.gov","type":"Support email"},{"url":"https://proteomics.cancer.gov/programs/cptac","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-002591","bsg-s002591"],"name":"FAIRsharing record for: Proteomics Pipeline Infrastructure for CPTAC","abbreviation":"CPTAC","url":"https://fairsharing.org/10.25504/FAIRsharing.y9d8rt","doi":"10.25504/FAIRsharing.y9d8rt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A basic ontology which describes the proteomics pipeline infrastructure for CPTAC project","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12520}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Proteomics","Life Science"],"domains":["Data acquisition","Data transformation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"734","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2024-05-02T14:41:43.302Z","metadata":{"doi":"10.25504/FAIRsharing.9xcr4z","name":"CIDOC Conceptual Reference Model","status":"ready","contacts":[{"contact_name":"Patrick Le Bœuf","contact_email":"patrick.le-boeuf@bnf.fr"}],"homepage":"https://www.cidoc-crm.org/","citations":[],"identifier":734,"description":"The CIDOC Conceptual Reference Model (CRM) provides definitions and a formal structure for describing the implicit and explicit concepts and relationships used in cultural heritage documentation. The overall scope of the CIDOC CRM can be summarised in simple terms as the curated, factual knowledge\nabout the past at a human scale. The CIDOC CRM is intended to promote a shared understanding of cultural heritage information by providing a common and extensible semantic framework that any cultural heritage information can be mapped to. It is intended to be a common language for domain experts and implementers to formulate requirements for information systems and to serve as a guide for good practice of conceptual modelling. In this way, it can provide the \"semantic glue\" needed to mediate between different sources of cultural heritage information, such as that published by museums, libraries and archives. The ISO 21127:2014 specification (Information and documentation — A reference ontology for the interchange of cultural heritage information) was created from the CIDOC CRM, although the CIDOC CRM Special Interest Group continues to maintain this original document as well.","abbreviation":"CIDOC-CRM","support_links":[{"url":"https://cidoc-crm.org/collaborations","name":"Collaborations and Compatible Models","type":"Help documentation"},{"url":"https://cidoc-crm.org/useCasesPage","name":"Use Cases","type":"Training documentation"},{"url":"https://cidoc-crm.org/cidoc-crm-tutorial","name":"Tutorial","type":"Training documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIDOC-CRM","name":"CIDOC-CRM","portal":"BioPortal"}]},"legacy_ids":["bsg-000858","bsg-s000858"],"name":"FAIRsharing record for: CIDOC Conceptual Reference Model","abbreviation":"CIDOC-CRM","url":"https://fairsharing.org/10.25504/FAIRsharing.9xcr4z","doi":"10.25504/FAIRsharing.9xcr4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CIDOC Conceptual Reference Model (CRM) provides definitions and a formal structure for describing the implicit and explicit concepts and relationships used in cultural heritage documentation. The overall scope of the CIDOC CRM can be summarised in simple terms as the curated, factual knowledge\nabout the past at a human scale. The CIDOC CRM is intended to promote a shared understanding of cultural heritage information by providing a common and extensible semantic framework that any cultural heritage information can be mapped to. It is intended to be a common language for domain experts and implementers to formulate requirements for information systems and to serve as a guide for good practice of conceptual modelling. In this way, it can provide the \"semantic glue\" needed to mediate between different sources of cultural heritage information, such as that published by museums, libraries and archives. The ISO 21127:2014 specification (Information and documentation — A reference ontology for the interchange of cultural heritage information) was created from the CIDOC CRM, although the CIDOC CRM Special Interest Group continues to maintain this original document as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Humanities and Social Science","Cultural Studies","Anthropology"],"domains":["Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":9557,"fairsharing_record_id":734,"organisation_id":3410,"relation":"maintains","created_at":"2022-05-23T15:34:12.639Z","updated_at":"2022-05-23T15:34:12.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":3410,"name":"CIDOC – ICOM International Committee for Documentation","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZUk9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--057a21005e538cb21742ec8a475bf44a6228c707/cidoc.png?disposition=inline","exhaustive_licences":false}},{"id":"758","type":"fairsharing_records","attributes":{"created_at":"2015-04-27T09:25:27.000Z","updated_at":"2022-07-20T09:31:13.424Z","metadata":{"doi":"10.25504/FAIRsharing.me4qwe","name":"DataCite Metadata Schema","status":"ready","contacts":[],"homepage":"https://schema.datacite.org/","citations":[],"identifier":758,"description":"The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes, with recommended use instructions in the documentation. The resource that is being identified can be of any kind, but it is typically a dataset. We use the term ‘dataset’ in its broadest sense. We mean it to include not only numerical data, but any other research objects in keeping with DataCite’s mission (https://datacite.org/value.html). The metadata schema properties are presented and described in detail in the section DataCite Metadata Properties in this document.","abbreviation":null,"support_links":[{"url":"https://blog.datacite.org","name":"Blog","type":"Blog/News"},{"url":"support@datacite.org","name":"General contact","type":"Support email"},{"url":"https://support.datacite.org/","name":"DataCite Support","type":"Help documentation"},{"url":"https://groups.google.com/forum/?hl=en\u0026fromgroups#!forum/datacite-metadata","type":"Forum"},{"url":"https://github.com/datacite/schema","type":"Github"},{"url":"https://twitter.com/datacite","type":"Twitter"}],"year_creation":2009},"legacy_ids":["bsg-000588","bsg-s000588"],"name":"FAIRsharing record for: DataCite Metadata Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.me4qwe","doi":"10.25504/FAIRsharing.me4qwe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes, with recommended use instructions in the documentation. The resource that is being identified can be of any kind, but it is typically a dataset. We use the term ‘dataset’ in its broadest sense. We mean it to include not only numerical data, but any other research objects in keeping with DataCite’s mission (https://datacite.org/value.html). The metadata schema properties are presented and described in detail in the section DataCite Metadata Properties in this document.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18157},{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17341},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18283},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11198},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12940},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13330},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13338},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13353}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Citation","Resource metadata","Annotation","Data retrieval","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":3314,"pubmed_id":null,"title":"DataCite Metadata Schema Documentation for the Publication and Citation of Research Data and Other Research Outputs v4.4","year":2021,"url":"https://doi.org/10.14454/3w3z-sa82","authors":"DataCite Metadata Working Group","journal":"DataCite - International Data Citation","doi":"https://doi.org/10.14454/3w3z-sa82","created_at":"2022-04-14T19:47:46.003Z","updated_at":"2022-04-14T19:47:46.003Z"}],"licence_links":[{"licence_name":"DataCite Privacy Policy","licence_id":218,"licence_url":"https://www.datacite.org/privacy.html","link_id":1072,"relation":"undefined"},{"licence_name":"DataCite Terms and Conditions","licence_id":219,"licence_url":"https://www.datacite.org/terms.html","link_id":1071,"relation":"undefined"}],"grants":[{"id":6147,"fairsharing_record_id":758,"organisation_id":2254,"relation":"maintains","created_at":"2021-09-30T09:27:50.149Z","updated_at":"2021-09-30T09:27:50.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2254,"name":"Open Data Institute (ODI), London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6142,"fairsharing_record_id":758,"organisation_id":1086,"relation":"maintains","created_at":"2021-09-30T09:27:49.950Z","updated_at":"2021-09-30T09:27:49.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1086,"name":"Future of Research Communications and e-Scholarship (FORCE11), Ja Lolla, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6143,"fairsharing_record_id":758,"organisation_id":435,"relation":"maintains","created_at":"2021-09-30T09:27:49.979Z","updated_at":"2021-09-30T09:27:49.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":435,"name":"Center for Open Science","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6145,"fairsharing_record_id":758,"organisation_id":2757,"relation":"maintains","created_at":"2021-09-30T09:27:50.081Z","updated_at":"2021-09-30T09:27:50.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":2757,"name":"The Committee on Data for Science and Technology (CODATA), Paris, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6146,"fairsharing_record_id":758,"organisation_id":620,"relation":"maintains","created_at":"2021-09-30T09:27:50.118Z","updated_at":"2021-09-30T09:27:50.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":620,"name":"CrossRef, Lynnfield, MA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6148,"fairsharing_record_id":758,"organisation_id":3249,"relation":"maintains","created_at":"2021-09-30T09:27:50.248Z","updated_at":"2021-09-30T09:27:50.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":3249,"name":"World Data System, International Council for Science","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6149,"fairsharing_record_id":758,"organisation_id":2426,"relation":"maintains","created_at":"2021-09-30T09:27:50.285Z","updated_at":"2021-09-30T09:27:50.285Z","grant_id":null,"is_lead":false,"saved_state":{"id":2426,"name":"Research Data Alliance (RDA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6150,"fairsharing_record_id":758,"organisation_id":2263,"relation":"maintains","created_at":"2021-09-30T09:27:50.317Z","updated_at":"2021-09-30T09:27:50.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":2263,"name":"Open Research and Contributor ID Initiative (ORCID)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9374,"fairsharing_record_id":758,"organisation_id":647,"relation":"maintains","created_at":"2022-04-11T12:07:34.045Z","updated_at":"2022-04-14T19:48:29.310Z","grant_id":null,"is_lead":true,"saved_state":{"id":647,"name":"DataCite","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"759","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T10:25:40.124Z","metadata":{"doi":"10.25504/FAIRsharing.b4sa0w","name":"Ontology of Organizational Structures of Trauma centers and Trauma systems","status":"ready","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"MBrochhausen@uams.edu"}],"homepage":"https://github.com/OOSTT/OOSTT","citations":[],"identifier":759,"description":"The Ontology of Organizational Structures of Trauma centers and Trauma systems (OOSTT) is a representation of the components of trauma centers and trauma systems coded in Web Ontology Language (OWL2). It is developed collaboratively by domain and ontology experts in the NIH-funded CAFE (Comparative Assessment Framework for Environments of trauma care) project (1R01GM111324-01A1). It will be used as the ontology backbone of a graphical user interface comparing graphical representations of organizational structures.","abbreviation":"OOSTT","support_links":[{"url":"https://github.com/OOSTT/OOSTT/","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OOSTT","name":"OOSTT","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/oostt","name":"OLS - OOSTT","portal":"OLS"},{"url":"https://obofoundry.org/ontology/oostt.html","name":"OBO Foundry - OOSTT","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000888","bsg-s000888"],"name":"FAIRsharing record for: Ontology of Organizational Structures of Trauma centers and Trauma systems","abbreviation":"OOSTT","url":"https://fairsharing.org/10.25504/FAIRsharing.b4sa0w","doi":"10.25504/FAIRsharing.b4sa0w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Organizational Structures of Trauma centers and Trauma systems (OOSTT) is a representation of the components of trauma centers and trauma systems coded in Web Ontology Language (OWL2). It is developed collaboratively by domain and ontology experts in the NIH-funded CAFE (Comparative Assessment Framework for Environments of trauma care) project (1R01GM111324-01A1). It will be used as the ontology backbone of a graphical user interface comparing graphical representations of organizational structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traumatology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2693,"relation":"applies_to_content"}],"grants":[{"id":9554,"fairsharing_record_id":759,"organisation_id":3533,"relation":"maintains","created_at":"2022-05-23T09:47:30.550Z","updated_at":"2022-05-23T09:47:30.550Z","grant_id":null,"is_lead":true,"saved_state":{"id":3533,"name":"Comparative Assessment Framework for Environments of Trauma Care (CAFE-Trauma)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9555,"fairsharing_record_id":759,"organisation_id":2035,"relation":"funds","created_at":"2022-05-23T09:48:35.607Z","updated_at":"2022-05-23T09:48:35.607Z","grant_id":1871,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"1R01GM111324-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"760","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T11:54:07.000Z","updated_at":"2021-11-24T13:15:57.958Z","metadata":{"doi":"10.25504/FAIRsharing.fzkw7z","name":"Plant occurrence and status scheme","status":"ready","homepage":"https://github.com/tdwg/prior-standards/tree/master/poss","identifier":760,"description":"The Plant Occurrence and Status Scheme (POSS) has been developed to provide standard terms for recording the occurrence of a plant taxon for a specific location. As with all standards, POSS aims to provide both a clear, unambiguous framework for information management, and at the same time provides a mechanism for information exchange.While this standard is still in use, it is no longer actively maintained (and is labelled as prior on the TDWG website).","abbreviation":"POSS","support_links":[{"url":"http://lists.tdwg.org/mailman/listinfo","type":"Mailing list"},{"url":"https://github.com/tdwg/prior-standards/blob/master/poss/106-522-1-RV.pdf","type":"Github"}],"year_creation":1995},"legacy_ids":["bsg-000630","bsg-s000630"],"name":"FAIRsharing record for: Plant occurrence and status scheme","abbreviation":"POSS","url":"https://fairsharing.org/10.25504/FAIRsharing.fzkw7z","doi":"10.25504/FAIRsharing.fzkw7z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Occurrence and Status Scheme (POSS) has been developed to provide standard terms for recording the occurrence of a plant taxon for a specific location. As with all standards, POSS aims to provide both a clear, unambiguous framework for information management, and at the same time provides a mechanism for information exchange.While this standard is still in use, it is no longer actively maintained (and is labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12279}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Ecology","Biodiversity"],"domains":["Geographical location"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6151,"fairsharing_record_id":760,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:27:50.350Z","updated_at":"2021-09-30T09:27:50.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"761","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2022-07-22T12:49:55.561Z","metadata":{"doi":"10.25504/FAIRsharing.1wm8em","name":"Disease core ontology applied to Rare Diseases","status":"deprecated","contacts":[{"contact_name":"Ferdinand Dhombres","contact_email":"ferdinand.dhombres@inserm.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/HRDO","citations":[],"identifier":761,"description":"This resource was designed during a PhD in medical informatics (funded by INSERM, 2010-2012). Its components are (i) a core ontology consistent with a metamodel (disorders and groups of disorders, genes, clinical signs and their relations) and (ii) an instantiation of this metamodel with Orphanet Data (available on http://orphadata.org). \u003c/ br\u003e Research experiments demonstrated (i) efficient classifications generation based on SPARQL Construct, (ii) perspectives in semantic audit of a knowledge base, (iii) semantic comparison with OMIM (www.omim.org) using proximity measurements and (iv) opened perspectives in knowledge sharing (LORD, http://lord.bndmr.fr). Current production services of Orphanet developed ORDO, released in 2014, an ontology synchronized with their production database. This ontology is now available on Bioportal.","abbreviation":"HRDO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HRDO","name":"HRDO","portal":"BioPortal"}],"deprecation_date":"2022-07-21","deprecation_reason":"This resource has not been active since 2014, and has therefore been deprecated. Please get in touch if you have any information."},"legacy_ids":["bsg-000902","bsg-s000902"],"name":"FAIRsharing record for: Disease core ontology applied to Rare Diseases","abbreviation":"HRDO","url":"https://fairsharing.org/10.25504/FAIRsharing.1wm8em","doi":"10.25504/FAIRsharing.1wm8em","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource was designed during a PhD in medical informatics (funded by INSERM, 2010-2012). Its components are (i) a core ontology consistent with a metamodel (disorders and groups of disorders, genes, clinical signs and their relations) and (ii) an instantiation of this metamodel with Orphanet Data (available on http://orphadata.org). \u003c/ br\u003e Research experiments demonstrated (i) efficient classifications generation based on SPARQL Construct, (ii) perspectives in semantic audit of a knowledge base, (iii) semantic comparison with OMIM (www.omim.org) using proximity measurements and (iv) opened perspectives in knowledge sharing (LORD, http://lord.bndmr.fr). Current production services of Orphanet developed ORDO, released in 2014, an ontology synchronized with their production database. This ontology is now available on Bioportal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Rare disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"762","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-25T20:56:46.147Z","metadata":{"doi":"10.25504/FAIRsharing.mf91p5","name":"Ontology for MicroRNA Target","status":"ready","contacts":[{"contact_name":"Jingshan Huang","contact_email":"huang@southalabama.edu"}],"homepage":"https://github.com/OmniSearch/omit","citations":[{"doi":"10.1371/journal.pone.0100855","pubmed_id":25025130,"publication_id":1746}],"identifier":762,"description":"The purpose of the OMIT ontology is to establish data exchange standards and common data elements in the microRNA (miR) domain. Biologists (cell biologists in particular) and bioinformaticians can make use of OMIT to leverage emerging semantic technologies in knowledge acquisition and discovery for more effective identification of important roles performed by miRs in humans' various diseases and biological processes (usually through miRs' respective target genes). Please note that, although the ontology is available at the stated GitHub repository, it has not been updated in a number of years and you may wish to carefully review the ontology before use.","abbreviation":"OMIT","support_links":[{"url":"https://github.com/OmniSearch/omit/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/OmniSearch/omit","name":"GitHub Repository","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMIT","name":"OMIT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/omit.html","name":"omit","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002670","bsg-s002670"],"name":"FAIRsharing record for: Ontology for MicroRNA Target","abbreviation":"OMIT","url":"https://fairsharing.org/10.25504/FAIRsharing.mf91p5","doi":"10.25504/FAIRsharing.mf91p5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of the OMIT ontology is to establish data exchange standards and common data elements in the microRNA (miR) domain. Biologists (cell biologists in particular) and bioinformaticians can make use of OMIT to leverage emerging semantic technologies in knowledge acquisition and discovery for more effective identification of important roles performed by miRs in humans' various diseases and biological processes (usually through miRs' respective target genes). Please note that, although the ontology is available at the stated GitHub repository, it has not been updated in a number of years and you may wish to carefully review the ontology before use.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12026}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biology"],"domains":["Annotation","Computational biological predictions","Gene prediction","Molecular entity","Cell","Regulation of gene expression","Molecular interaction","Protein","Micro RNA","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1746,"pubmed_id":25025130,"title":"OMIT: dynamic, semi-automated ontology development for the microRNA domain.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0100855","authors":"Huang J,Dang J,Borchert GM,Eilbeck K,Zhang H,Xiong M,Jiang W,Wu H,Blake JA,Natale DA,Tan M","journal":"PLoS One","doi":"10.1371/journal.pone.0100855","created_at":"2021-09-30T08:25:35.947Z","updated_at":"2021-09-30T08:25:35.947Z"},{"id":1754,"pubmed_id":21879385,"title":"OMIT: a domain-specific knowledge base for microRNA target prediction.","year":2011,"url":"http://doi.org/10.1007/s11095-011-0573-8","authors":"Huang J,Townsend C,Dou D,Liu H,Tan M","journal":"Pharm Res","doi":"10.1007/s11095-011-0573-8","created_at":"2021-09-30T08:25:36.863Z","updated_at":"2021-09-30T08:25:36.863Z"},{"id":1987,"pubmed_id":27175225,"title":"OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0064-2","authors":"Huang J,Gutierrez F,Strachan HJ,Dou D,Huang W,Smith B,Blake JA,Eilbeck K,Natale DA,Lin Y,Wu B,Silva Nd,Wang X,Liu Z,Borchert GM,Tan M,Ruttenberg A","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0064-2","created_at":"2021-09-30T08:26:03.666Z","updated_at":"2021-09-30T08:26:03.666Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1324,"relation":"undefined"}],"grants":[{"id":6152,"fairsharing_record_id":762,"organisation_id":3121,"relation":"maintains","created_at":"2021-09-30T09:27:50.388Z","updated_at":"2024-03-25T20:34:56.350Z","grant_id":null,"is_lead":true,"saved_state":{"id":3121,"name":"University of South Alabama, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6154,"fairsharing_record_id":762,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:50.469Z","updated_at":"2021-09-30T09:29:23.720Z","grant_id":229,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"1350064","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6153,"fairsharing_record_id":762,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:50.430Z","updated_at":"2021-09-30T09:30:35.739Z","grant_id":781,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U01CA180982","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6156,"fairsharing_record_id":762,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:50.538Z","updated_at":"2021-09-30T09:27:50.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"735","type":"fairsharing_records","attributes":{"created_at":"2020-03-09T10:19:37.000Z","updated_at":"2022-07-20T09:47:44.049Z","metadata":{"doi":"10.25504/FAIRsharing.NYAjYd","name":"EBI BioSamples JSON Format ","status":"ready","contacts":[{"contact_name":"BioSamples Helpdesk","contact_email":"biosamples@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biosamples/docs/references/api/submit","citations":[],"identifier":735,"description":"The EBI BioSamples JSON Format is a JSON schema used for submitting data to the EBI BioSamples database. This format can also be used to update or curate existing samples.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001455","bsg-s001455"],"name":"FAIRsharing record for: EBI BioSamples JSON Format ","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.NYAjYd","doi":"10.25504/FAIRsharing.NYAjYd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EBI BioSamples JSON Format is a JSON schema used for submitting data to the EBI BioSamples database. This format can also be used to update or curate existing samples.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Experimental measurement","Biological sample annotation","Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1427,"relation":"undefined"}],"grants":[{"id":6093,"fairsharing_record_id":735,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:48.356Z","updated_at":"2021-09-30T09:27:48.356Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"736","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.879Z","metadata":{"doi":"10.25504/FAIRsharing.3nz5cb","name":"Annotation and Image Markup","status":"ready","contacts":[{"contact_name":"Daniel Rubin","contact_email":"dlrubin@yahoo.com","contact_orcid":"0000-0001-5057-4369"}],"homepage":"https://wiki.nci.nih.gov/display/AIM/Annotation+and+Image+Markup+-+AIM","identifier":736,"description":"The Annotation and Image Markup project provides a standardized schema for capturing the results of medical imaging exams, primarily radiology, using controlled terminologies/ontologies. AIM captures results in terms of the region within an image in which areas of interest are located, the semantic descriptions of those regions, inferences about them, calculations on them, and quantitative features derived by computer programs run on them. AIM is interoperable with DICOM-SR and HL7-CDA, other standards for image metadata, but it provides unique advantages by providing an explicit semantic model of imaging results.","abbreviation":"AIM","support_links":[{"url":"ncicbiit@mail.nih.gov","type":"Support email"},{"url":"https://wiki.nci.nih.gov/display/AIM/AIM+Documentation","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000562","bsg-s000562"],"name":"FAIRsharing record for: Annotation and Image Markup","abbreviation":"AIM","url":"https://fairsharing.org/10.25504/FAIRsharing.3nz5cb","doi":"10.25504/FAIRsharing.3nz5cb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Annotation and Image Markup project provides a standardized schema for capturing the results of medical imaging exams, primarily radiology, using controlled terminologies/ontologies. AIM captures results in terms of the region within an image in which areas of interest are located, the semantic descriptions of those regions, inferences about them, calculations on them, and quantitative features derived by computer programs run on them. AIM is interoperable with DICOM-SR and HL7-CDA, other standards for image metadata, but it provides unique advantages by providing an explicit semantic model of imaging results.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Image"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":661,"pubmed_id":19294468,"title":"The caBIG annotation and image Markup project","year":2009,"url":"http://doi.org/10.1007/s10278-009-9193-9","authors":"Channin DS, Mongkolwat P, Kleper V, Sepukar K, Rubin DL.","journal":"J Digital Imaging","doi":"10.1007/s10278-009-9193-9","created_at":"2021-09-30T08:23:32.961Z","updated_at":"2021-09-30T08:23:32.961Z"},{"id":2275,"pubmed_id":null,"title":"Medical Imaging on the Semantic Web: Annotation and Image Markup","year":2008,"url":"https://www.researchgate.net/publication/221250903_Medical_Imaging_on_the_Semantic_Web_Annotation_and_Image_Markup","authors":"Rubin DL, Mongkolwat P, Kleper V, Supekar K and Channin DS","journal":"AAAI Spring Symposium Series, Semantic Scientific Knowledge Integration","doi":null,"created_at":"2021-09-30T08:26:37.118Z","updated_at":"2021-09-30T11:28:34.630Z"}],"licence_links":[],"grants":[{"id":6094,"fairsharing_record_id":736,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:27:48.380Z","updated_at":"2021-09-30T09:27:48.380Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6095,"fairsharing_record_id":736,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:48.415Z","updated_at":"2021-09-30T09:32:49.437Z","grant_id":1792,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"79596CBS10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"737","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-03-14T17:10:50.270Z","metadata":{"doi":"10.25504/FAIRsharing.kj336a","name":"Microbial Culture Collection Vocabulary","status":"ready","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"shuichi.kawashima@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MCCV","citations":[],"identifier":737,"description":"Structured controlled vocabulary for describing meta information of microbial calture collection maintained in biological research centers","abbreviation":"MCCV","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MCCV","name":"MCCV","portal":"BioPortal"}]},"legacy_ids":["bsg-000860","bsg-s000860"],"name":"FAIRsharing record for: Microbial Culture Collection Vocabulary","abbreviation":"MCCV","url":"https://fairsharing.org/10.25504/FAIRsharing.kj336a","doi":"10.25504/FAIRsharing.kj336a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Structured controlled vocabulary for describing meta information of microbial calture collection maintained in biological research centers","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Microbiology"],"domains":["Sequence","Genetic strain"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10411,"fairsharing_record_id":737,"organisation_id":3916,"relation":"undefined","created_at":"2023-03-14T17:08:44.917Z","updated_at":"2023-03-14T17:08:44.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":3916,"name":"RIKEN","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"739","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-03-23T13:52:24.722Z","metadata":{"doi":"10.25504/FAIRsharing.g78mbm","name":"Livestock Product Trait Ontology","status":"ready","contacts":[{"contact_name":"Jim Reecy","contact_email":"jreecy@iastate.edu"}],"homepage":"https://www.animalgenome.org/bioinfo/projects/lpt/","citations":[],"identifier":739,"description":"The Livestock Product Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to products produced by or obtained from the body of an agricultural animal or bird maintained for use and profit.","abbreviation":"LPT","support_links":[{"url":"https://github.com/AnimalGenome/livestock-product-trait-ontology ","type":"Github"},{"url":"jreecy@iastate.edu","name":"James Reecy","type":"Support email"},{"url":"caripark@iastate.edu","name":"Cari Park","type":"Support email"},{"url":"zhu@iastate.edu","name":"Zhiliang Hu","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LPT","name":"LPT","portal":"BioPortal"}]},"legacy_ids":["bsg-000863","bsg-s000863"],"name":"FAIRsharing record for: Livestock Product Trait Ontology","abbreviation":"LPT","url":"https://fairsharing.org/10.25504/FAIRsharing.g78mbm","doi":"10.25504/FAIRsharing.g78mbm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Livestock Product Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to products produced by or obtained from the body of an agricultural animal or bird maintained for use and profit.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Husbandry"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"740","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.859Z","metadata":{"doi":"10.25504/FAIRsharing.s6zfkg","name":"Nursing Interventions Classification","status":"ready","contacts":[{"contact_name":"Sue Moorhead","contact_email":"sue-moorhead@uiowa.edu"}],"homepage":"http://www.nursing.uiowa.edu/cncce/nursing-interventions-classification-overview","identifier":740,"description":"The Nursing Interventions Classification (NIC) is a comprehensive, research-based, standardized classification of interventions that nurses perform. It is useful for clinical documentation, communication of care across settings, integration of data across systems and settings, effectiveness research, productivity measurement, competency evaluation, reimbursement, and curricular design. The Classification includes the interventions that nurses do on behalf of patients, both independent and collaborative interventions, both direct and indirect care.","abbreviation":"NIC","year_creation":1992,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIC","name":"NIC","portal":"BioPortal"}]},"legacy_ids":["bsg-002653","bsg-s002653"],"name":"FAIRsharing record for: Nursing Interventions Classification","abbreviation":"NIC","url":"https://fairsharing.org/10.25504/FAIRsharing.s6zfkg","doi":"10.25504/FAIRsharing.s6zfkg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nursing Interventions Classification (NIC) is a comprehensive, research-based, standardized classification of interventions that nurses perform. It is useful for clinical documentation, communication of care across settings, integration of data across systems and settings, effectiveness research, productivity measurement, competency evaluation, reimbursement, and curricular design. The Classification includes the interventions that nurses do on behalf of patients, both independent and collaborative interventions, both direct and indirect care.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12511}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":["Nurse"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1850,"pubmed_id":8591448,"title":"Nursing interventions classification (NIC).","year":1995,"url":"https://www.ncbi.nlm.nih.gov/pubmed/8591448","authors":"Bulechek GM,McCloskey JC","journal":"Medinfo","doi":null,"created_at":"2021-09-30T08:25:47.838Z","updated_at":"2021-09-30T08:25:47.838Z"}],"licence_links":[],"grants":[{"id":6098,"fairsharing_record_id":740,"organisation_id":3071,"relation":"maintains","created_at":"2021-09-30T09:27:48.515Z","updated_at":"2021-09-30T09:27:48.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":3071,"name":"University of Iowa, Iowa, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6096,"fairsharing_record_id":740,"organisation_id":2157,"relation":"maintains","created_at":"2021-09-30T09:27:48.449Z","updated_at":"2021-09-30T09:27:48.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":2157,"name":"NIC Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6097,"fairsharing_record_id":740,"organisation_id":559,"relation":"maintains","created_at":"2021-09-30T09:27:48.482Z","updated_at":"2021-09-30T09:27:48.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":559,"name":"College of Nursing, University of Iowa, Iowa City, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"747","type":"fairsharing_records","attributes":{"created_at":"2017-08-03T14:35:27.000Z","updated_at":"2021-11-24T13:16:14.932Z","metadata":{"doi":"10.25504/FAIRsharing.h4j3qm","name":"Data Catalog Vocabulary","status":"ready","contacts":[{"contact_name":"Phil Archer","contact_email":"phila@w3.org","contact_orcid":"0000-0002-4989-0601"}],"homepage":"https://www.w3.org/TR/vocab-dcat/","identifier":747,"description":"An RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. By using DCAT to describe datasets in data catalogs, publishers increase discoverability and enable applications easily to consume metadata from multiple catalogs. It further enables decentralized publishing of catalogs and facilitates federated dataset search across sites. Aggregated DCAT metadata can serve as a manifest file to facilitate digital preservation.","abbreviation":"DCAT","support_links":[{"url":"https://www.w3.org/2017/dxwg/wiki/Main_Page","name":"Dataset eXchange Working Group","type":"Forum"},{"url":"https://github.com/w3c/dxwg/issues/","name":"Browse / submit issues in w3c/dxwg","type":"Github"},{"url":"https://github.com/w3c/dxwg/","name":"Dataset eXchange Working Group GitHub","type":"Github"}],"year_creation":2014},"legacy_ids":["bsg-000717","bsg-s000717"],"name":"FAIRsharing record for: Data Catalog Vocabulary","abbreviation":"DCAT","url":"https://fairsharing.org/10.25504/FAIRsharing.h4j3qm","doi":"10.25504/FAIRsharing.h4j3qm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. By using DCAT to describe datasets in data catalogs, publishers increase discoverability and enable applications easily to consume metadata from multiple catalogs. It further enables decentralized publishing of catalogs and facilitates federated dataset search across sites. Aggregated DCAT metadata can serve as a manifest file to facilitate digital preservation.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18159},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18284},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12939},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13169},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13213},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13241},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13286},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13331},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13337}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":10,"relation":"undefined"},{"licence_name":"W3C Policies and Legal information","licence_id":850,"licence_url":"http://www.w3.org/Consortium/Legal/2002/ipr-notice-20021231","link_id":12,"relation":"undefined"}],"grants":[{"id":6105,"fairsharing_record_id":747,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:48.698Z","updated_at":"2021-09-30T09:27:48.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6108,"fairsharing_record_id":747,"organisation_id":188,"relation":"funds","created_at":"2021-09-30T09:27:48.772Z","updated_at":"2021-09-30T09:27:48.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":188,"name":"Beihang University, Beihang, China","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6106,"fairsharing_record_id":747,"organisation_id":1631,"relation":"undefined","created_at":"2021-09-30T09:27:48.723Z","updated_at":"2021-09-30T09:27:48.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":1631,"name":"Keio University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":6107,"fairsharing_record_id":747,"organisation_id":589,"relation":"funds","created_at":"2021-09-30T09:27:48.748Z","updated_at":"2021-09-30T09:27:48.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":589,"name":"Computer Science and Artificial Intelligence Laboratory, Massacheusetts Institute of Technology, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6109,"fairsharing_record_id":747,"organisation_id":952,"relation":"funds","created_at":"2021-09-30T09:27:48.798Z","updated_at":"2021-09-30T09:27:48.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":952,"name":"European Research Consortium for Informatics and Mathematics","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"748","type":"fairsharing_records","attributes":{"created_at":"2018-07-16T18:46:05.000Z","updated_at":"2022-10-10T13:44:26.229Z","metadata":{"doi":"10.25504/FAIRsharing.8ae3d0","name":"Nuclear Magnetic Resonance Extracted Data Format","status":"ready","contacts":[{"contact_name":"Damien Jeannerat","contact_email":"damien.jeannerat@unige.ch","contact_orcid":"0000-0001-7018-4288"}],"homepage":"http://nmredata.org/","citations":[{"doi":"10.1002/mrc.4737","pubmed_id":29656574,"publication_id":2388}],"identifier":748,"description":"The Nuclear Magnetic Resonance Extracted Data Format (NMReDATA) associates NMR parameters extracted from 1D and 2D spectra of organic compounds to the proposed chemical structure. The format includes chemical shift values, signal integrals, intensities, multiplicities, scalar coupling constants, lists of 2D correlations, relaxation times, and diffusion rates. The file format is an extension of the existing Structure Data Format, which is compatible with the commonly used MOL format. The association of an NMReDATA file with the raw and spectral data from which it originates constitutes an NMR record. This format is easily readable by humans and computers and provides a simple and efficient way for disseminating results of structural chemistry investigations, allowing automatic verification of published results, and for assisting the constitution of highly needed open‐source structural databases.","abbreviation":"NMReDATA","support_links":[{"url":"https://github.com/NMReDATAInitiative","name":"NMReDATA GitHub Project","type":"Github"},{"url":"http://nmredata.org/wiki/Main_Page","name":"NMReDATA Wiki Pages","type":"Help documentation"},{"url":"http://nmredata.org/wiki/NMReDATA_tag_format","name":"NMReDATA Format Documentation","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001220","bsg-s001220"],"name":"FAIRsharing record for: Nuclear Magnetic Resonance Extracted Data Format","abbreviation":"NMReDATA","url":"https://fairsharing.org/10.25504/FAIRsharing.8ae3d0","doi":"10.25504/FAIRsharing.8ae3d0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nuclear Magnetic Resonance Extracted Data Format (NMReDATA) associates NMR parameters extracted from 1D and 2D spectra of organic compounds to the proposed chemical structure. The format includes chemical shift values, signal integrals, intensities, multiplicities, scalar coupling constants, lists of 2D correlations, relaxation times, and diffusion rates. The file format is an extension of the existing Structure Data Format, which is compatible with the commonly used MOL format. The association of an NMReDATA file with the raw and spectral data from which it originates constitutes an NMR record. This format is easily readable by humans and computers and provides a simple and efficient way for disseminating results of structural chemistry investigations, allowing automatic verification of published results, and for assisting the constitution of highly needed open‐source structural databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Chemical structure","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Bulgaria","Colombia","France","Germany","Russia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":2388,"pubmed_id":29656574,"title":"NMReDATA, a standard to report the NMR assignment and parameters of organic compounds.","year":2018,"url":"http://doi.org/10.1002/mrc.4737","authors":"Pupier M,Nuzillard JM,Wist J,Schlorer NE,KuhnS,Erdelyi M,SteinbeckC,Williams AJ,Butts C,Claridge TDW,Mikhova B,Robien W,Dashti H,Eghbalnia HR,Fares C,Adam C,Kessler P,Moriaud F,Elyashberg M,Argyropoulos D,Perez M,Giraudeau P,Gil RR,Trevorrow P,Jeannerat D","journal":"Magn Reson Chem","doi":"10.1002/mrc.4737","created_at":"2021-09-30T08:26:53.385Z","updated_at":"2021-09-30T08:26:53.385Z"}],"licence_links":[],"grants":[{"id":6113,"fairsharing_record_id":748,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:48.903Z","updated_at":"2021-09-30T09:31:40.466Z","grant_id":1277,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"580/3‐1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6112,"fairsharing_record_id":748,"organisation_id":731,"relation":"maintains","created_at":"2021-09-30T09:27:48.873Z","updated_at":"2021-09-30T09:27:48.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":731,"name":"Department of Organic Chemistry, University of Geneva, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6114,"fairsharing_record_id":748,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:48.932Z","updated_at":"2021-09-30T09:29:15.978Z","grant_id":166,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41GM111135","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6110,"fairsharing_record_id":748,"organisation_id":2634,"relation":"funds","created_at":"2021-09-30T09:27:48.823Z","updated_at":"2021-09-30T09:31:31.448Z","grant_id":1208,"is_lead":false,"saved_state":{"id":2634,"name":"State of Geneva, Switzerland","grant":"200021_147069","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6111,"fairsharing_record_id":748,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:27:48.848Z","updated_at":"2021-09-30T09:31:31.465Z","grant_id":1208,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"200021_147069","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7934,"fairsharing_record_id":748,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:55.402Z","updated_at":"2021-09-30T09:29:55.455Z","grant_id":470,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41GM103399","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8425,"fairsharing_record_id":748,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:32:34.752Z","updated_at":"2021-09-30T09:32:34.836Z","grant_id":1683,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"206021_128746","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"749","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:36:10.000Z","updated_at":"2022-12-14T08:23:45.695Z","metadata":{"doi":"10.25504/FAIRsharing.1zmmrI","name":"VOEvent Transport Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOEventTransport/index.html","citations":[{"publication_id":2940}],"identifier":749,"description":"The IVOA VOEvent Recommendation defines a means of describing transient celestial events but, purposely, remains silent on the topic of how those descriptions should be transmitted. This document formalizes a TCP-based protocol for VOEvent transportation that has been in use by members of the VOEvent community for several years and discusses the topology of the event distribution network. It is intended to act as a reference for the production of compliant protocol implementations.","abbreviation":null,"support_links":[{"url":"http://ivoa.net/documents/VOEventTransport/20170320/REC-VTP-2.0-20170320.html","name":"View Standard","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001158","bsg-s001158"],"name":"FAIRsharing record for: VOEvent Transport Protocol","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1zmmrI","doi":"10.25504/FAIRsharing.1zmmrI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA VOEvent Recommendation defines a means of describing transient celestial events but, purposely, remains silent on the topic of how those descriptions should be transmitted. This document formalizes a TCP-based protocol for VOEvent transportation that has been in use by members of the VOEvent community for several years and discusses the topology of the event distribution network. It is intended to act as a reference for the production of compliant protocol implementations.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11458}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2940,"pubmed_id":null,"title":"VOEvent Transport Protocol Version 2.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0320S","authors":"Swinbank, John D.; Allan, Alasdair; Denny, Robert B.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.341Z","updated_at":"2021-09-30T08:28:02.341Z"}],"licence_links":[],"grants":[{"id":6115,"fairsharing_record_id":749,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:48.962Z","updated_at":"2021-09-30T09:27:48.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6116,"fairsharing_record_id":749,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:27:48.990Z","updated_at":"2021-09-30T09:27:48.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"750","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T13:11:08.000Z","updated_at":"2022-02-08T10:30:54.062Z","metadata":{"doi":"10.25504/FAIRsharing.3cf5bc","name":"Open Provenance Model Vocabulary","status":"ready","contacts":[{"contact_name":"Jun Zhao","contact_email":"jun.zhao@cs.ox.ac.uk"}],"homepage":"http://purl.org/net/opmv/ns","identifier":750,"description":"OPMV, the Open Provenance Model Vocabulary, is a lightweight provenance vocabulary created to aid responsible data publishing and interoperability between provenance information on the Semantic Web. The Open Provenance Model Vocabulary is closely based on OPM data model. OPMV can be used together with other provenance-related RDF/OWL vocabularies/ontologies, such as Dublin Core, FOAF, the Changeset Vocabulary, and the Provenance Vocabulary.","abbreviation":"OPMV","year_creation":2010},"legacy_ids":["bsg-001434","bsg-s001434"],"name":"FAIRsharing record for: Open Provenance Model Vocabulary","abbreviation":"OPMV","url":"https://fairsharing.org/10.25504/FAIRsharing.3cf5bc","doi":"10.25504/FAIRsharing.3cf5bc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OPMV, the Open Provenance Model Vocabulary, is a lightweight provenance vocabulary created to aid responsible data publishing and interoperability between provenance information on the Semantic Web. The Open Provenance Model Vocabulary is closely based on OPM data model. OPMV can be used together with other provenance-related RDF/OWL vocabularies/ontologies, such as Dublin Core, FOAF, the Changeset Vocabulary, and the Provenance Vocabulary.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 1.0 Generic (CC BY 1.0)","licence_id":156,"licence_url":"https://creativecommons.org/licenses/by/1.0/","link_id":1716,"relation":"undefined"}],"grants":[{"id":6117,"fairsharing_record_id":750,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:27:49.014Z","updated_at":"2021-09-30T09:27:49.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"751","type":"fairsharing_records","attributes":{"created_at":"2018-10-18T17:33:00.000Z","updated_at":"2024-06-13T11:01:50.252Z","metadata":{"doi":"10.25504/FAIRsharing.35db1b","name":"AGLS Metadata Standard","status":"deprecated","contacts":[],"homepage":"https://www.naa.gov.au/information-management/standards/agls-metadata-standard","citations":[],"identifier":751,"description":"The AGLS Metadata Standard (Australian Standard AS 5044-2010) provides a set of metadata properties and associated usage guidelines to improve the visibility, manageability and interoperability of online information and services. AGLS is an application profile of Dublin Core metadata standard.","abbreviation":"AS 5044-2010","support_links":[{"url":"https://agls.gov.au/contact/","name":"Contact","type":"Contact form"},{"url":"https://agls.gov.au/documents/","name":"Full Document Listing","type":"Help documentation"},{"url":"https://agls.gov.au/pdf/AGLS%20Metadata%20Standard%20Part%202%20Usage%20Guide.PDF","name":"Usage Guide (PDF)","type":"Help documentation"}],"year_creation":1998,"deprecation_date":"2024-06-13","deprecation_reason":"Homepage message : \nRetirement of the AGLS Metadata Standard\nThe AGLS Metadata Standard was originally developed in 1997 to improve the visibility, availability and interoperability of online information.\nNational Archives has decommissioned the AGLS website and uncoupled our responsibilities from AS 5044-2010 which is managed by Standards Australia. These changes will not affect the continuing existence of AS 5044-2010 but the role of the National Archives has changed. We consulted with Standards Australia before we took down the AGLS website.\nThe National Archives prepared new advice on Metadata for the web and a case study from Geoscience Australia to assist those agencies in the post-AGLS environment."},"legacy_ids":["bsg-001329","bsg-s001329"],"name":"FAIRsharing record for: AGLS Metadata Standard","abbreviation":"AS 5044-2010","url":"https://fairsharing.org/10.25504/FAIRsharing.35db1b","doi":"10.25504/FAIRsharing.35db1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AGLS Metadata Standard (Australian Standard AS 5044-2010) provides a set of metadata properties and associated usage guidelines to improve the visibility, manageability and interoperability of online information and services. AGLS is an application profile of Dublin Core metadata standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Resource metadata","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Australian Government Copyright","licence_id":50,"licence_url":"http://www.agls.gov.au/copyright/","link_id":125,"relation":"undefined"}],"grants":[{"id":6118,"fairsharing_record_id":751,"organisation_id":1950,"relation":"maintains","created_at":"2021-09-30T09:27:49.045Z","updated_at":"2021-09-30T09:27:49.045Z","grant_id":null,"is_lead":true,"saved_state":{"id":1950,"name":"National Archives of Australia, Australian Government, Australia","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"752","type":"fairsharing_records","attributes":{"created_at":"2019-06-18T12:44:24.000Z","updated_at":"2022-07-20T10:37:08.540Z","metadata":{"doi":"10.25504/FAIRsharing.fCAD2Z","name":"Minimum Information Guideline for Kidney Disease: Research and Clinical Data Reporting","status":"ready","contacts":[{"contact_name":"Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"https://www.h3abionet.org/data-standards/datastds","citations":[{"doi":"10.1136/bmjopen-2019-029539","pubmed_id":31772086,"publication_id":2894}],"identifier":752,"description":"The MIGKD is a standardised reporting guideline for kidney disease research and clinical data reporting. It was created to improve the quality and integrity of kidney disease data as well as combat challenges associated with the management of ‘Big Data’. It proposes study-, sample- and disease-specific elements harmonized with existing standards.","abbreviation":"MIGKD","support_links":[{"url":"https://www.h3abionet.org/images/DataAndStandards/DataStandards/Recommendations_For_Use_Guideline.pdf","name":"Recommendations for Use","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001385","bsg-s001385"],"name":"FAIRsharing record for: Minimum Information Guideline for Kidney Disease: Research and Clinical Data Reporting","abbreviation":"MIGKD","url":"https://fairsharing.org/10.25504/FAIRsharing.fCAD2Z","doi":"10.25504/FAIRsharing.fCAD2Z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIGKD is a standardised reporting guideline for kidney disease research and clinical data reporting. It was created to improve the quality and integrity of kidney disease data as well as combat challenges associated with the management of ‘Big Data’. It proposes study-, sample- and disease-specific elements harmonized with existing standards.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12546}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Critical Care Medicine","Medicine","Urology","Preclinical Studies","Medical Informatics"],"domains":["Kidney disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Mauritius","South Africa","Tunisia"],"publications":[{"id":2894,"pubmed_id":31772086,"title":"Proposed minimum information guideline for kidney disease-research and clinical data reporting: a cross-sectional study.","year":2019,"url":"http://doi.org/10.1136/bmjopen-2019-029539","authors":"Kumuthini J,van Woerden C,Mallett A,Zass L,Chaouch M,Thompson M,Johnston K,Mbiyavanga M,Baichoo S,Mungloo-Dilmohamud Z,Patel C,Mulder N","journal":"BMJ Open","doi":"10.1136/bmjopen-2019-029539","created_at":"2021-09-30T08:27:56.325Z","updated_at":"2021-09-30T08:27:56.325Z"}],"licence_links":[],"grants":[{"id":6120,"fairsharing_record_id":752,"organisation_id":1207,"relation":"funds","created_at":"2021-09-30T09:27:49.129Z","updated_at":"2021-09-30T09:27:49.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":1207,"name":"H3ABioNet","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6119,"fairsharing_record_id":752,"organisation_id":468,"relation":"maintains","created_at":"2021-09-30T09:27:49.086Z","updated_at":"2021-09-30T09:27:49.086Z","grant_id":null,"is_lead":true,"saved_state":{"id":468,"name":"Centre for Proteomic and Genomic Research (CPGR), Cape Town, South Africa","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"754","type":"fairsharing_records","attributes":{"created_at":"2015-09-28T22:24:15.000Z","updated_at":"2023-04-23T12:57:54.512Z","metadata":{"doi":"10.25504/FAIRsharing.e9sg7","name":"Sampling Features OWL implementation","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"dr.shorthair@pm.me","contact_orcid":"0000-0002-3884-3420"}],"homepage":"https://www.semantic-web-journal.net/system/files/swj1237.pdf","citations":[],"identifier":754,"description":"An OWL representation of the Sampling Features Schema described in clauses 9-11 of ISO 19156:2011 Geographic Information - Observations and Measurements.","abbreviation":"sam-lite","year_creation":2014},"legacy_ids":["bsg-000621","bsg-s000621"],"name":"FAIRsharing record for: Sampling Features OWL implementation","abbreviation":"sam-lite","url":"https://fairsharing.org/10.25504/FAIRsharing.e9sg7","doi":"10.25504/FAIRsharing.e9sg7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An OWL representation of the Sampling Features Schema described in clauses 9-11 of ISO 19156:2011 Geographic Information - Observations and Measurements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Experimental measurement","Geographical location","Observation design"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":2230,"pubmed_id":null,"title":"Ontology for observations and sampling features, with alignments to existing models","year":2017,"url":"http://doi.org/10.3233/SW-160214","authors":"Cox, Simon J D","journal":"Semantic Web Journal","doi":"10.3233/SW-160214","created_at":"2021-09-30T08:26:31.314Z","updated_at":"2021-09-30T08:26:31.314Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":5,"relation":"undefined"}],"grants":[{"id":6121,"fairsharing_record_id":754,"organisation_id":624,"relation":"maintains","created_at":"2021-09-30T09:27:49.167Z","updated_at":"2021-09-30T09:27:49.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":624,"name":"CSIRO Land and Water, Highett, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"755","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2024-03-21T14:11:22.234Z","metadata":{"doi":"10.25504/FAIRsharing.pmygc7","name":"CEDAR Value Sets","status":"deprecated","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu"}],"homepage":"https://metadatacenter.github.io/cedar-manual/sections/c3/2_defining_your_answers_with%20term_lists/#searching-for-ontologies-and-value-sets","citations":[],"identifier":755,"description":"A Value Set in CEDAR is like a very simple ontology; it consists only of a set of terms that have identifiers and labels. Value Sets tend to be smaller than ontologies as well, and organized around a single topic. This record described the initial set of value sets uploaded to BioPortal.","abbreviation":null,"support_links":[],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CEDARVS","name":"CEDARVS","portal":"BioPortal"}],"deprecation_date":"2024-03-05","deprecation_reason":"This resource described a version of the value sets available on BioPortal and not updated since 2015. The version of the value sets as described on the CEDAR site do not conform with the current scope of the FAIRsharing standards registry, and therefore this record has been deprecated. Please get in touch with us if you have any information or questions."},"legacy_ids":["bsg-000878","bsg-s000878"],"name":"FAIRsharing record for: CEDAR Value Sets","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pmygc7","doi":"10.25504/FAIRsharing.pmygc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A Value Set in CEDAR is like a very simple ontology; it consists only of a set of terms that have identifiers and labels. Value Sets tend to be smaller than ontologies as well, and organized around a single topic. This record described the initial set of value sets uploaded to BioPortal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Integration","Data Governance"],"domains":["Resource metadata","Experimental measurement","Protocol","Study design","Machine learning","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":11461,"fairsharing_record_id":755,"organisation_id":420,"relation":"maintains","created_at":"2024-03-05T14:16:34.143Z","updated_at":"2024-03-05T14:16:34.143Z","grant_id":null,"is_lead":true,"saved_state":{"id":420,"name":"Center for Expanded Data Annotation and Retrieval (CEDAR)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"763","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-05T14:18:59.358Z","metadata":{"doi":"10.25504/FAIRsharing.tw4q8x","name":"Ontology of Adverse Events","status":"ready","contacts":[{"contact_name":"Yongqun \"Oliver\" He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/oae-ontology","citations":[{"doi":"10.1186/2041-1480-5-29","pubmed_id":25093068,"publication_id":909}],"identifier":763,"description":"The Ontology of Adverse Events (OAE) is a community-driven ontology that is developed to standardize and integrate data on biomedical adverse events (e.g., vaccine and drug adverse events) and support computer-assisted reasoning. As a result of a medical intervention, events may occur which lie outside the intended consequences of the intervention. Some of these events are adverse events, in the sense that they are pathological bodily processes. For many such adverse events it is unclear whether they are causal consequences of the medical intervention which preceded them, since adverse events may also occur due to other reasons (for example a natural viral infection). OAE was created to represent the whole process from initial medical intervention to subsequent outcomes.","abbreviation":"OAE","support_links":[{"url":"oae-discuss@googlegroups.com","name":"OAE Mailing List","type":"Mailing list"},{"url":"http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0049941","type":"Help documentation"},{"url":"http://www.oae-ontology.org/AEO_ICBO-2011_Proceeding.pdf","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OAE","name":"OAE","portal":"BioPortal"}]},"legacy_ids":["bsg-002664","bsg-s002664"],"name":"FAIRsharing record for: Ontology of Adverse Events","abbreviation":"OAE","url":"https://fairsharing.org/10.25504/FAIRsharing.tw4q8x","doi":"10.25504/FAIRsharing.tw4q8x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Adverse Events (OAE) is a community-driven ontology that is developed to standardize and integrate data on biomedical adverse events (e.g., vaccine and drug adverse events) and support computer-assisted reasoning. As a result of a medical intervention, events may occur which lie outside the intended consequences of the intervention. Some of these events are adverse events, in the sense that they are pathological bodily processes. For many such adverse events it is unclear whether they are causal consequences of the medical intervention which preceded them, since adverse events may also occur due to other reasons (for example a natural viral infection). OAE was created to represent the whole process from initial medical intervention to subsequent outcomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Adverse Reaction","Vaccine"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":909,"pubmed_id":25093068,"title":"OAE: The Ontology of Adverse Events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-29","authors":"He Y,Sarntivijai S,Lin Y,Xiang Z,Guo A,Zhang S,Jagannathan D,Toldo L,Tao C,Smith B","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-29","created_at":"2021-09-30T08:24:00.403Z","updated_at":"2021-09-30T08:24:00.403Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":344,"relation":"undefined"}],"grants":[{"id":8669,"fairsharing_record_id":763,"organisation_id":1230,"relation":"maintains","created_at":"2022-01-05T13:55:31.075Z","updated_at":"2022-01-05T13:55:31.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6157,"fairsharing_record_id":763,"organisation_id":3094,"relation":"maintains","created_at":"2021-09-30T09:27:50.580Z","updated_at":"2021-09-30T09:27:50.580Z","grant_id":null,"is_lead":true,"saved_state":{"id":3094,"name":"University of Michigan Medical School, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"764","type":"fairsharing_records","attributes":{"created_at":"2020-07-08T12:49:16.000Z","updated_at":"2023-09-29T11:54:56.158Z","metadata":{"doi":"10.25504/FAIRsharing.495736","name":"ISO 639-1:2002 Codes for the representation of names of languages — Part 1: Alpha-2 code","status":"ready","contacts":[{"contact_name":"Maryse Benhoff","contact_email":"mmb@bgcommunications.ca"}],"homepage":"https://www.iso.org/standard/22109.html","citations":[],"identifier":764,"description":"This part of ISO 639 provides a code consisting of language code elements comprising two-letter language identifiers for the representation of names of languages. The language identifiers according to this part of ISO 639 were devised originally for use in terminology, lexicography and linguistics, but may be adopted for any application requiring the expression of language in two-letter coded form, especially in computerized systems. Languages designed exclusively for machine use, such as computer-programming languages, are not included in this code.","abbreviation":"ISO 639-1:2002","year_creation":1988},"legacy_ids":["bsg-001509","bsg-s001509"],"name":"FAIRsharing record for: ISO 639-1:2002 Codes for the representation of names of languages — Part 1: Alpha-2 code","abbreviation":"ISO 639-1:2002","url":"https://fairsharing.org/10.25504/FAIRsharing.495736","doi":"10.25504/FAIRsharing.495736","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This part of ISO 639 provides a code consisting of language code elements comprising two-letter language identifiers for the representation of names of languages. The language identifiers according to this part of ISO 639 were devised originally for use in terminology, lexicography and linguistics, but may be adopted for any application requiring the expression of language in two-letter coded form, especially in computerized systems. Languages designed exclusively for machine use, such as computer-programming languages, are not included in this code.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17378}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Informatics","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Language"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2007,"relation":"undefined"}],"grants":[{"id":6158,"fairsharing_record_id":764,"organisation_id":1526,"relation":"maintains","created_at":"2021-09-30T09:27:50.622Z","updated_at":"2021-09-30T09:27:50.622Z","grant_id":null,"is_lead":true,"saved_state":{"id":1526,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 2: Terminology workflow and language coding","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10911,"fairsharing_record_id":764,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:05:10.516Z","updated_at":"2023-09-27T14:05:10.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"765","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:16:30.000Z","updated_at":"2022-11-01T11:56:54.230Z","metadata":{"doi":"10.25504/FAIRsharing.ztr3n9","name":"FAIR Metrics - Machine-readability of metadata","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F2","citations":[],"identifier":765,"description":"FM-F2 measures the availability of machine-readable metadata that describes a digital resource. This metric does not attempt to measure (or even define) \"Richness\" - this will be defined in a future Metric. This metric is intended to test the format of the metadata - machine readability of metadata makes it possible to optimize discovery. For instance, Web search engines suggest the use of particular structured metadata elements to optimize search. Thus, the machine-readability aspect can help people and machines find a digital resource of interest. To conform to this metric, a URL to a document that contains machine-readable metadata for the digital resource must be provided. Furthermore, the file format must be specified. This metric applies to part F2 of the FAIR Principles.","abbreviation":"FM-F2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001344","bsg-s001344"],"name":"FAIRsharing record for: FAIR Metrics - Machine-readability of metadata","abbreviation":"FM-F2","url":"https://fairsharing.org/10.25504/FAIRsharing.ztr3n9","doi":"10.25504/FAIRsharing.ztr3n9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-F2 measures the availability of machine-readable metadata that describes a digital resource. This metric does not attempt to measure (or even define) \"Richness\" - this will be defined in a future Metric. This metric is intended to test the format of the metadata - machine readability of metadata makes it possible to optimize discovery. For instance, Web search engines suggest the use of particular structured metadata elements to optimize search. Thus, the machine-readability aspect can help people and machines find a digital resource of interest. To conform to this metric, a URL to a document that contains machine-readable metadata for the digital resource must be provided. Furthermore, the file format must be specified. This metric applies to part F2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1409,"relation":"undefined"}],"grants":[{"id":6160,"fairsharing_record_id":765,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:50.701Z","updated_at":"2021-09-30T09:27:50.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6159,"fairsharing_record_id":765,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:50.664Z","updated_at":"2021-09-30T09:27:50.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6161,"fairsharing_record_id":765,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:50.733Z","updated_at":"2021-09-30T09:27:50.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6162,"fairsharing_record_id":765,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:50.763Z","updated_at":"2021-09-30T09:27:50.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"742","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.931Z","metadata":{"doi":"10.25504/FAIRsharing.3fc9zf","name":"openEHR Health Record Specification","status":"ready","contacts":[{"contact_name":"Koray Atalag","contact_email":"k.atalag@auckland.ac.nz","contact_orcid":"0000-0003-0517-4803"}],"homepage":"http://www.openehr.org","identifier":742,"description":"openEHR is an open standard that uses a novel two-level modelling methodology to represent health information and meta-data by preserving the semantics during when it were created. It enables semantic interoperability and makes it possible to link disparate data sources easily and safely. It also allows for terminology binding which provides the bridge between the 'terminology' and 'information model' this making it much more useful than using these standards separately. Although openEHR is a de-facto standard that is developed by volunteers openly, ISO and CEN adopted it (ISO/EN 13606) so it is a full international standard. It has relationship and mappings between other standards, such as HL7.","abbreviation":"openEHR","support_links":[{"url":"https://www.researchgate.net/publication/268923409_On_the_Maintainability_of_openEHR_Based_Health_Information_Systems_-_an_Evaluation_Study_in_Endoscopy","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000525","bsg-s000525"],"name":"FAIRsharing record for: openEHR Health Record Specification","abbreviation":"openEHR","url":"https://fairsharing.org/10.25504/FAIRsharing.3fc9zf","doi":"10.25504/FAIRsharing.3fc9zf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: openEHR is an open standard that uses a novel two-level modelling methodology to represent health information and meta-data by preserving the semantics during when it were created. It enables semantic interoperability and makes it possible to link disparate data sources easily and safely. It also allows for terminology binding which provides the bridge between the 'terminology' and 'information model' this making it much more useful than using these standards separately. Although openEHR is a de-facto standard that is developed by volunteers openly, ISO and CEN adopted it (ISO/EN 13606) so it is a full international standard. It has relationship and mappings between other standards, such as HL7.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12473},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16902}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","France","Germany","New Zealand","United Kingdom","United States"],"publications":[{"id":267,"pubmed_id":null,"title":"The openEHR Foundation","year":2005,"url":"https://ebooks.iospress.nl/publication/10257","authors":"Kalra D, Beale T, Heard S.","journal":"Studies in health technology and informatics","doi":null,"created_at":"2021-09-30T08:22:48.865Z","updated_at":"2021-09-30T11:28:29.188Z"}],"licence_links":[],"grants":[{"id":6102,"fairsharing_record_id":742,"organisation_id":2255,"relation":"maintains","created_at":"2021-09-30T09:27:48.615Z","updated_at":"2021-09-30T09:27:48.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":2255,"name":"openEHR Foundation","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6103,"fairsharing_record_id":742,"organisation_id":3016,"relation":"funds","created_at":"2021-09-30T09:27:48.647Z","updated_at":"2021-09-30T09:29:35.645Z","grant_id":316,"is_lead":false,"saved_state":{"id":3016,"name":"University of Auckland, New Zealand","grant":"3624469/9843","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"743","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-07-20T12:14:06.133Z","metadata":{"doi":"10.25504/FAIRsharing.w7bw2y","name":"Environment Ontology for Livestock","status":"ready","contacts":[{"contact_name":"Matthieu Reichstadt","contact_email":"matthieu.reichstadt@clermont.inra.fr"}],"homepage":"http://www.atol-ontology.com/en/eol-2/","identifier":743,"description":"The EOL ontology describes environmental conditions of livestock farms. More specifically, it describes the feeding modalities, the environment, the structure of livestock farms and rearing systems.","abbreviation":"EOL","support_links":[{"url":"https://www.ebi.ac.uk/ols/ontologies/eol","name":"EOL in the EBI Ontology Lookup Service (OLS)","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EOL","name":"EOL","portal":"BioPortal"}]},"legacy_ids":["bsg-000864","bsg-s000864"],"name":"FAIRsharing record for: Environment Ontology for Livestock","abbreviation":"EOL","url":"https://fairsharing.org/10.25504/FAIRsharing.w7bw2y","doi":"10.25504/FAIRsharing.w7bw2y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EOL ontology describes environmental conditions of livestock farms. More specifically, it describes the feeding modalities, the environment, the structure of livestock farms and rearing systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Animal Husbandry","Agriculture"],"domains":[],"taxonomies":["Vertebrata"],"user_defined_tags":["Livestock","Species-environment interaction"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":900,"relation":"undefined"}],"grants":[{"id":6104,"fairsharing_record_id":743,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:48.672Z","updated_at":"2021-09-30T09:27:48.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"745","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-08-01T22:31:01.873Z","metadata":{"doi":"10.25504/FAIRsharing.x68yjk","name":"CARRE Risk Factor ontology","status":"ready","contacts":[{"contact_name":"Allan Third","contact_email":"allan.third@open.ac.uk"}],"homepage":"https://www.carre-project.eu/innovation/risk-factor-ontology/","citations":[],"identifier":745,"description":"The “core” of the CARRE Risk Factor Ontology is the semantic representation of the CARRE data model for risk (D.2.2), intended to represent current medical knowledge regarding cardiorenal risk factors. This core relates to public data; that is to say, data from the medical literature regarding conditions, genetics, demographics and the environment, how these factors interact and the studies and evidence quality relating to their interactions. Please note that, while available, this resource has not been updated since 2014.","abbreviation":"CARRE","support_links":[],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CARRE","name":"CARRE","portal":"BioPortal"}]},"legacy_ids":["bsg-000872","bsg-s000872"],"name":"FAIRsharing record for: CARRE Risk Factor ontology","abbreviation":"CARRE","url":"https://fairsharing.org/10.25504/FAIRsharing.x68yjk","doi":"10.25504/FAIRsharing.x68yjk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The “core” of the CARRE Risk Factor Ontology is the semantic representation of the CARRE data model for risk (D.2.2), intended to represent current medical knowledge regarding cardiorenal risk factors. This core relates to public data; that is to say, data from the medical literature regarding conditions, genetics, demographics and the environment, how these factors interact and the studies and evidence quality relating to their interactions. Please note that, while available, this resource has not been updated since 2014.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17359}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2774,"relation":"applies_to_content"}],"grants":[{"id":9732,"fairsharing_record_id":745,"organisation_id":2816,"relation":"maintains","created_at":"2022-08-01T22:19:57.977Z","updated_at":"2022-08-01T22:19:57.977Z","grant_id":null,"is_lead":false,"saved_state":{"id":2816,"name":"The Open University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9731,"fairsharing_record_id":745,"organisation_id":3622,"relation":"maintains","created_at":"2022-08-01T22:19:57.968Z","updated_at":"2022-08-01T22:19:57.968Z","grant_id":null,"is_lead":false,"saved_state":{"id":3622,"name":"The CARRE Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"746","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-03-15T11:16:56.897Z","metadata":{"doi":"10.25504/FAIRsharing.9thw6y","name":"HIVCompoundRels","status":"deprecated","contacts":[{"contact_name":"Hanfei Bao","contact_email":"hanfeib@gmail.com"}],"homepage":"http://blog.51.ca/u-345129/","citations":[],"identifier":746,"description":"The Ontology to express the ternary relations of HIV1","abbreviation":"HIVCRS","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HIVCRS","name":"HIVCRS","portal":"BioPortal"}],"deprecation_date":"2023-03-15","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-000873","bsg-s000873"],"name":"FAIRsharing record for: HIVCompoundRels","abbreviation":"HIVCRS","url":"https://fairsharing.org/10.25504/FAIRsharing.9thw6y","doi":"10.25504/FAIRsharing.9thw6y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology to express the ternary relations of HIV1","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"757","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:28:35.446Z","metadata":{"doi":"10.25504/FAIRsharing.kbtt7f","name":"Human Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Sebastian Kohler","contact_email":"sebastian.koehler@charite.de"}],"homepage":"https://hpo.jax.org/","citations":[{"doi":"https://doi.org/10.1093/nar/gkw1039","pubmed_id":27899602,"publication_id":2510}],"identifier":757,"description":"The Human Phenotype Ontology has been developed to provide a structured and controlled vocabulary for the phenotypic features encountered in human hereditary and other disease. The goal is to provide resource for the computational analysis of the human phenome, with a focus on monogenic diseases listed in the Online Mendelian Inheritance in Man (OMIM) and Orphanet databases, for which annotations are also provided.","abbreviation":"HP","support_links":[{"url":"peter.robinson@jax.org","name":"peter.robinson@jax.org","type":"Support email"},{"url":"dr.sebastian.koehler@gmail.com","name":"dr.sebastian.koehler@gmail.com","type":"Support email"},{"url":"https://hpo.jax.org/app/faq","name":"HPO FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://hpo.jax.org/app/help/introduction","name":"Help Pages","type":"Help documentation"},{"url":"https://twitter.com/hp_ontology","name":"@hp_ontology","type":"Twitter"}],"year_creation":2008,"associated_tools":[{"url":"http://compbio.charite.de/phenomizer/","name":"Phenomizer"},{"url":"http://exomiser.monarchinitiative.org/exomiser/","name":"Exomiser"},{"url":"https://phenomics.github.io/software-phenoviz.html","name":"PhenogramViz 0.1.3"},{"url":"https://github.com/monarch-initiative/PhenoteFX","name":"PhenoteFX"},{"url":"https://github.com/monarch-initiative/hpoannotqc","name":"HpoAnnotQc"},{"url":"https://github.com/monarch-initiative/loinc2hpo","name":"Loinc2HPO"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HP","name":"HP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/hp.html","name":"hp","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000131","bsg-s000131"],"name":"FAIRsharing record for: Human Phenotype Ontology","abbreviation":"HP","url":"https://fairsharing.org/10.25504/FAIRsharing.kbtt7f","doi":"10.25504/FAIRsharing.kbtt7f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Phenotype Ontology has been developed to provide a structured and controlled vocabulary for the phenotypic features encountered in human hereditary and other disease. The goal is to provide resource for the computational analysis of the human phenome, with a focus on monogenic diseases listed in the Online Mendelian Inheritance in Man (OMIM) and Orphanet databases, for which annotations are also provided.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17576},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10870},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11022},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11267},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11953},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12204},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12413},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16954}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phenomics","Biomedical Science","Preclinical Studies"],"domains":["Phenotype","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":1246,"pubmed_id":24217912,"title":"The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1026","authors":"Kohler S,Doelken SC,Mungall CJ,Bauer S,Firth HV,Bailleul-Forestier I,Black GC,Brown DL,Brudno M,Campbell J,FitzPatrick DR,Eppig JT,Jackson AP,Freson K,Girdea M,Helbig I,Hurst JA,Jahn J,Jackson LG,Kelly AM,Ledbetter DH,Mansour S,Martin CL,Moss C,Mumford A,Ouwehand WH,Park SM,Riggs ER,Scott RH,Sisodiya S,Van Vooren S,Wapner RJ,Wilkie AO,Wright CF,Vulto-van Silfhout AT,de Leeuw N,de Vries BB,Washingthon NL,Smith CL,Westerfield M,Schofield P,Ruef BJ,Gkoutos GV,Haendel M,Smedley D,Lewis SE,Robinson PN","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1026","created_at":"2021-09-30T08:24:38.973Z","updated_at":"2021-09-30T11:29:03.901Z"},{"id":2510,"pubmed_id":27899602,"title":"The Human Phenotype Ontology in 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1039","authors":"Köhler S, Vasilevsky NA, Engelstad M, Foster E, McMurry J, Aymé S, Baynam G, Bello SM, Boerkoel CF, Boycott KM, Brudno M, Buske OJ, Chinnery PF, Cipriani V, Connell LE, Dawkins HJ, DeMare LE, Devereau AD, de Vries BB, Firth HV, Freson K, Greene D, Hamosh A, Helbig I, Hum C, Jähn JA, James R, Krause R, F Laulederkind SJ, Lochmüller H, Lyon GJ, Ogishima S, Olry A, Ouwehand WH, Pontikos N, Rath A, Schaefer F, Scott RH, Segal M, Sergouniotis PI, Sever R, Smith CL, Straub V, Thompson R, Turner C, Turro E, Veltman MW, Vulliamy T, Yu J, von Ziegenweidt J, Zankl A, Züchner S, Zemojtel T, Jacobsen JO, Groza T, Smedley D, Mungall CJ, Haendel M, Robinson PN.","journal":"Nucleic Acids Res.","doi":"https://doi.org/10.1093/nar/gkw1039","created_at":"2021-09-30T08:27:08.060Z","updated_at":"2021-09-30T08:27:08.060Z"},{"id":2511,"pubmed_id":20412080,"title":"The human phenotype ontology.","year":2010,"url":"http://doi.org/10.1111/j.1399-0004.2010.01436.x","authors":"Robinson PN,Mundlos S","journal":"Clin Genet","doi":"10.1111/j.1399-0004.2010.01436.x","created_at":"2021-09-30T08:27:08.170Z","updated_at":"2021-09-30T08:27:08.170Z"},{"id":2512,"pubmed_id":30476213,"title":"Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources.","year":2018,"url":"http://doi.org/10.1093/nar/gky1105","authors":"Kohler S,Carmody L,Vasilevsky N,Jacobsen JOB,Danis D,Gourdine JP,Gargano M,Harris NL,Matentzoglu N,McMurry JA,Osumi-Sutherland D,Cipriani V,Balhoff JP,Conlin T,Blau H,Baynam G,Palmer R,Gratian D,Dawkins H,Segal M,Jansen AC,Muaz A,Chang WH,Bergerson J,Laulederkind SJF,Yuksel Z,Beltran S,Freeman AF,Sergouniotis PI,Durkin D,Storm AL,Hanauer M,Brudno M,Bello SM,Sincan M,Rageth K,Wheeler MT,Oegema R,Lourghi H,Della Rocca MG,Thompson R,Castellanos F,Priest J,Cunningham-Rundles C,Hegde A,Lovering RC,Hajek C,Olry A,Notarangelo L,Similuk M,Zhang XA,Gomez-Andres D,Lochmuller H,Dollfus H,Rosenzweig S,Marwaha S,Rath A,Sullivan K,Smith C,Milner JD,Leroux D,Boerkoel CF,Klion A,Carter MC,Groza T,Smedley D,Haendel MA,Mungall C,Robinson PN","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1105","created_at":"2021-09-30T08:27:08.273Z","updated_at":"2021-09-30T11:29:38.578Z"},{"id":2513,"pubmed_id":18950739,"title":"The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease.","year":2008,"url":"http://doi.org/10.1016/j.ajhg.2008.09.017","authors":"Robinson PN,Kohler S,Bauer S,Seelow D,Horn D,Mundlos S","journal":"Am J Hum Genet","doi":"10.1016/j.ajhg.2008.09.017","created_at":"2021-09-30T08:27:08.374Z","updated_at":"2021-09-30T08:27:08.374Z"}],"licence_links":[{"licence_name":"HPO license","licence_id":403,"licence_url":"https://hpo.jax.org/app/license","link_id":1555,"relation":"undefined"}],"grants":[{"id":6122,"fairsharing_record_id":757,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:49.204Z","updated_at":"2021-09-30T09:27:49.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6130,"fairsharing_record_id":757,"organisation_id":903,"relation":"funds","created_at":"2021-09-30T09:27:49.485Z","updated_at":"2021-09-30T09:27:49.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":903,"name":"EuroEPINOMICS, European Science Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6135,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:49.646Z","updated_at":"2021-09-30T09:30:07.294Z","grant_id":560,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HE5415/3-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6129,"fairsharing_record_id":757,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:27:49.445Z","updated_at":"2021-09-30T09:30:35.217Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6124,"fairsharing_record_id":757,"organisation_id":900,"relation":"funds","created_at":"2021-09-30T09:27:49.288Z","updated_at":"2021-09-30T09:30:42.839Z","grant_id":835,"is_lead":false,"saved_state":{"id":900,"name":"EURenOmics","grant":"2012-305608","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6141,"fairsharing_record_id":757,"organisation_id":2406,"relation":"funds","created_at":"2021-09-30T09:27:49.923Z","updated_at":"2021-09-30T09:31:26.519Z","grant_id":1170,"is_lead":false,"saved_state":{"id":2406,"name":"RD-Connect","grant":"305444","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6139,"fairsharing_record_id":757,"organisation_id":2163,"relation":"funds","created_at":"2021-09-30T09:27:49.838Z","updated_at":"2021-09-30T09:31:58.336Z","grant_id":1411,"is_lead":false,"saved_state":{"id":2163,"name":"NIH Data Commons","grant":"OT3 OD02464-01 UNCCH","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6138,"fairsharing_record_id":757,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:27:49.797Z","updated_at":"2021-09-30T09:29:02.428Z","grant_id":67,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"779257","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8094,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:30:54.312Z","updated_at":"2021-09-30T09:30:54.362Z","grant_id":928,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HE5415/6-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6125,"fairsharing_record_id":757,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:49.325Z","updated_at":"2021-09-30T09:30:11.396Z","grant_id":591,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1OT3TR002019","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6127,"fairsharing_record_id":757,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:49.385Z","updated_at":"2021-09-30T09:30:17.221Z","grant_id":638,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"602300","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6137,"fairsharing_record_id":757,"organisation_id":877,"relation":"funds","created_at":"2021-09-30T09:27:49.746Z","updated_at":"2021-09-30T09:30:36.200Z","grant_id":785,"is_lead":false,"saved_state":{"id":877,"name":"E-RARE project Hipbi-RD","grant":"01GM1608","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8282,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:31:54.157Z","updated_at":"2021-09-30T09:31:54.207Z","grant_id":1379,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HE5415/5-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6140,"fairsharing_record_id":757,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:49.881Z","updated_at":"2021-09-30T09:29:13.710Z","grant_id":148,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R44 LM011585-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6128,"fairsharing_record_id":757,"organisation_id":1135,"relation":"funds","created_at":"2021-09-30T09:27:49.417Z","updated_at":"2021-09-30T09:27:49.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":1135,"name":"German chapter of the International League against Epilepsy","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8010,"fairsharing_record_id":757,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:30:22.328Z","updated_at":"2021-09-30T09:30:22.372Z","grant_id":680,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"U24 TR002306","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8879,"fairsharing_record_id":757,"organisation_id":2747,"relation":"funds","created_at":"2022-02-13T18:25:44.840Z","updated_at":"2022-02-13T18:25:44.840Z","grant_id":1285,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","grant":"RG/13/5/30112","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9072,"fairsharing_record_id":757,"organisation_id":2804,"relation":"maintains","created_at":"2022-03-30T10:39:16.368Z","updated_at":"2022-03-30T10:39:16.368Z","grant_id":null,"is_lead":true,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6134,"fairsharing_record_id":757,"organisation_id":1039,"relation":"funds","created_at":"2021-09-30T09:27:49.604Z","updated_at":"2021-09-30T09:29:49.789Z","grant_id":424,"is_lead":false,"saved_state":{"id":1039,"name":"Forums for Integrative Phenomics, NIH","grant":"CA221044-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6133,"fairsharing_record_id":757,"organisation_id":2141,"relation":"funds","created_at":"2021-09-30T09:27:49.574Z","updated_at":"2021-09-30T09:32:05.827Z","grant_id":1467,"is_lead":false,"saved_state":{"id":2141,"name":"NeurOmics","grant":"2012-305121","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6131,"fairsharing_record_id":757,"organisation_id":2804,"relation":"funds","created_at":"2021-09-30T09:27:49.517Z","updated_at":"2021-09-30T09:29:36.170Z","grant_id":320,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","grant":"5R24OD011883","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8391,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:32:25.306Z","updated_at":"2021-09-30T09:32:25.355Z","grant_id":1612,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG RO 2005/4-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9073,"fairsharing_record_id":757,"organisation_id":2792,"relation":"maintains","created_at":"2022-03-30T10:39:16.369Z","updated_at":"2022-03-30T10:39:16.369Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9283,"fairsharing_record_id":757,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:27.655Z","updated_at":"2022-04-11T12:07:27.671Z","grant_id":1680,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01DH12033","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9362,"fairsharing_record_id":757,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.138Z","updated_at":"2022-04-11T12:07:33.154Z","grant_id":783,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"MAR 10/012","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9368,"fairsharing_record_id":757,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.601Z","updated_at":"2022-04-11T12:07:33.618Z","grant_id":1384,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"BMBF project number 0313911","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"741","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:16:43.216Z","metadata":{"doi":"10.25504/FAIRsharing.amcv1e","name":"HGNC Gene Symbols, Gene Names and IDs","status":"ready","contacts":[{"contact_email":"hgnc@genenames.org"}],"homepage":"https://www.genenames.org/","identifier":741,"description":"The HGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","abbreviation":"HGNC","support_links":[{"url":"http://www.genenames.org/cgi-bin/feedback","type":"Contact form"},{"url":"hgnc@genenames.org","type":"Support email"},{"url":"http://www.genenames.org/help","type":"Help documentation"}],"year_creation":1979,"associated_tools":[{"url":"https://www.genenames.org/tools/multi-symbol-checker/","name":"Multi-symbol checker"}]},"legacy_ids":["bsg-002683","bsg-s002683"],"name":"FAIRsharing record for: HGNC Gene Symbols, Gene Names and IDs","abbreviation":"HGNC","url":"https://fairsharing.org/10.25504/FAIRsharing.amcv1e","doi":"10.25504/FAIRsharing.amcv1e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Gene name","Protein","Pseudogene","Non-coding RNA"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2798,"pubmed_id":295268,"title":"International system for human gene nomenclature (1979) ISGN (1979).","year":1979,"url":"http://doi.org/10.1159/000131404","authors":"Shows TB,Alper CA,Bootsma D,Dorf M,Douglas T,Huisman T,Kit S,Klinger HP,Kozak C,Lalley PA,Lindsley D,McAlpine PJ,McDougall JK,Meera Khan P,Meisler M,Morton NE,Opitz JM,Partridge CW,Payne R,Roderick TH,Rubinstein P,Ruddle FH,Shaw M,Spranger JW,Weiss K","journal":"Cytogenet Cell Genet","doi":"10.1159/000131404","created_at":"2021-09-30T08:27:44.056Z","updated_at":"2021-09-30T08:27:44.056Z"},{"id":2799,"pubmed_id":30304474,"title":"Genenames.org: the HGNC and VGNC resources in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky930","authors":"Braschi B,Denny P,Gray K,Jones T,Seal R,Tweedie S,Yates B,Bruford E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky930","created_at":"2021-09-30T08:27:44.170Z","updated_at":"2021-09-30T11:29:45.045Z"}],"licence_links":[],"grants":[{"id":6101,"fairsharing_record_id":741,"organisation_id":1273,"relation":"maintains","created_at":"2021-09-30T09:27:48.588Z","updated_at":"2021-09-30T09:27:48.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":1273,"name":"HUGO Gene Nomenclature Committee (HGNC), Hinxton, Cambridgeshire, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6100,"fairsharing_record_id":741,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:48.564Z","updated_at":"2021-09-30T09:31:12.550Z","grant_id":1064,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U24HG003345","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6099,"fairsharing_record_id":741,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:48.539Z","updated_at":"2021-09-30T09:32:37.393Z","grant_id":1704,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"208349/Z/17/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"174","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.360Z","metadata":{"doi":"10.25504/FAIRsharing.ht22t4","name":"Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments","status":"ready","contacts":[{"contact_name":"Eric Deutsch","contact_email":"edeutsch@systemsbiology.org","contact_orcid":"0000-0001-8732-0928"}],"homepage":"http://mged.sourceforge.net/misfishie/","identifier":174,"description":"MISFISHIE is the Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments. This specification details the minimum information that should be provided when publishing, making public, or exchanging results from visual interpretation-based tissue gene expression localization experiments such as in situ hybridization, immunohistochemistry, reporter construct genetic experiments (GFP/green fluorescent protein, β-galactosidase), etc. Compliance to this standard is expected to provide researchers at other labs enough information to reproduce the experiment and/or to fully evaluate the data upon which results are based.","abbreviation":"MISFISHIE","support_links":[{"url":"http://mibbi.sf.net/projects/MISFISHIE.shtml","type":"Help documentation"},{"url":"http://scgap.systemsbiology.net/standards/misfishie/","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000171","bsg-s000171"],"name":"FAIRsharing record for: Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments","abbreviation":"MISFISHIE","url":"https://fairsharing.org/10.25504/FAIRsharing.ht22t4","doi":"10.25504/FAIRsharing.ht22t4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MISFISHIE is the Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments. This specification details the minimum information that should be provided when publishing, making public, or exchanging results from visual interpretation-based tissue gene expression localization experiments such as in situ hybridization, immunohistochemistry, reporter construct genetic experiments (GFP/green fluorescent protein, β-galactosidase), etc. Compliance to this standard is expected to provide researchers at other labs enough information to reproduce the experiment and/or to fully evaluate the data upon which results are based.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11577},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11969},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12419}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Evidence","Expression data","Ribonucleic acid","Antibody","Cellular localization","In situ hybridization","Immunohistochemistry","Whole mount tissue","Fluorescence","Intensity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":847,"pubmed_id":18327244,"title":"Minimum information specification for in situ hybridization and immunohistochemistry experiments (MISFISHIE).","year":2008,"url":"http://doi.org/10.1038/nbt1391","authors":"Deutsch EW,Ball CA,Berman JJ,Bova GS,Brazma A,Bumgarner RE,Campbell D,Causton HC,Christiansen JH,Daian F,Dauga D,Davidson DR,Gimenez G,Goo YA,Grimmond S,Henrich T,Herrmann BG,Johnson MH,Korb M,Mills JC,Oudes AJ,Parkinson HE,Pascal LE,Pollet N,Quackenbush J,Ramialison M,Ringwald M,Salgado D,Sansone SA,Sherlock G,Stoeckert CJ Jr,Swedlow J,Taylor RC,Walashek L,Warford A,Wilkinson DG,Zhou Y,Zon LI,Liu AY,True LD","journal":"Nat Biotechnol","doi":"10.1038/nbt1391","created_at":"2021-09-30T08:23:53.446Z","updated_at":"2021-09-30T08:23:53.446Z"},{"id":1681,"pubmed_id":16901227,"title":"Development of the Minimum Information Specification for In Situ Hybridization and Immunohistochemistry Experiments (MISFISHIE).","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.205","authors":"Deutsch EW,Ball CA,Bova GS,Brazma A,Bumgarner RE,Campbell D,Causton HC,Christiansen J,Davidson D,Eichner LJ,Goo YA,Grimmond S,Henrich T,Johnson MH,Korb M,Mills JC,Oudes A,Parkinson HE,Pascal LE,Quackenbush J,Ramialison M,Ringwald M,Sansone SA,Sherlock G,Stoeckert CJ Jr,Swedlow J,Taylor RC,Walashek L,Zhou Y,Liu AY,True LD","journal":"OMICS","doi":"10.1089/omi.2006.10.205","created_at":"2021-09-30T08:25:28.304Z","updated_at":"2021-09-30T08:25:28.304Z"}],"licence_links":[],"grants":[{"id":5214,"fairsharing_record_id":174,"organisation_id":1074,"relation":"maintains","created_at":"2021-09-30T09:27:19.085Z","updated_at":"2021-09-30T09:27:19.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":1074,"name":"Functional Genomics Data Society (FGED); MISFISHIE working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5213,"fairsharing_record_id":174,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:27:19.054Z","updated_at":"2021-09-30T09:27:19.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5215,"fairsharing_record_id":174,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:27:19.127Z","updated_at":"2021-09-30T09:27:19.127Z","grant_id":null,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"175","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:25.000Z","updated_at":"2022-07-20T12:20:08.690Z","metadata":{"doi":"10.25504/FAIRsharing.VrP6sm","name":"FAIR Maturity Indicator Gen2-MI-A1.2","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_A1.2.md","identifier":175,"description":"The FAIR Maturity Indicator Gen2-MI-A1.2 measures if the resolution protocol supports authentication and authorization for access to restricted content.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001370","bsg-s001370"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-A1.2","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.VrP6sm","doi":"10.25504/FAIRsharing.VrP6sm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-A1.2 measures if the resolution protocol supports authentication and authorization for access to restricted content.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13193},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13204},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13224},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13254},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13269},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20172}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1481,"relation":"undefined"}],"grants":[{"id":5217,"fairsharing_record_id":175,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:19.206Z","updated_at":"2021-09-30T09:27:19.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5216,"fairsharing_record_id":175,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:19.168Z","updated_at":"2021-09-30T09:27:19.168Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5218,"fairsharing_record_id":175,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:19.239Z","updated_at":"2021-09-30T09:27:19.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5219,"fairsharing_record_id":175,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:19.262Z","updated_at":"2021-09-30T09:27:19.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"176","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:34.000Z","updated_at":"2022-07-20T11:16:10.478Z","metadata":{"doi":"10.25504/FAIRsharing.lEZbPK","name":"FAIR Maturity Indicator Gen2-MI-A2","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_A2.md","identifier":176,"description":"The FAIR Maturity Indicator Gen2-MI-A2 measures if there is a policy for metadata persistence. Cross-references to data from third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001371","bsg-s001371"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-A2","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.lEZbPK","doi":"10.25504/FAIRsharing.lEZbPK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-A2 measures if there is a policy for metadata persistence. Cross-references to data from third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13203},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13223},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13253},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13268},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20174}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1482,"relation":"undefined"}],"grants":[{"id":5221,"fairsharing_record_id":176,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:19.312Z","updated_at":"2021-09-30T09:27:19.312Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5220,"fairsharing_record_id":176,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:19.288Z","updated_at":"2021-09-30T09:27:19.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5222,"fairsharing_record_id":176,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:19.337Z","updated_at":"2021-09-30T09:27:19.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5223,"fairsharing_record_id":176,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:19.362Z","updated_at":"2021-09-30T09:27:19.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"177","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:09.702Z","metadata":{"doi":"10.25504/FAIRsharing.qcceez","name":"Ontology of Physics for Biology","status":"ready","contacts":[{"contact_name":"Daniel L. Cook","contact_email":"dcook@u.washington.edu"}],"homepage":"https://sites.google.com/site/semanticsofbiologicalprocesses/projects/the-ontology-of-physics-for-biology-opb","identifier":177,"description":"The Ontology of Physics for Biology is a reference of classical physics as applied to the dynamics of biological systems. This resource provides a reference ontology of physical properties (e.g., pressure, chemical concentration) and principles (e.g., Ohm’s law, Ficke’s law) by which the physical meaning of biosimulation models may be annotated.","abbreviation":"OPB","support_links":[{"url":"maxneal@gmail.com","name":"Max Neal","type":"Support email"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OPB","name":"OPB","portal":"BioPortal"}]},"legacy_ids":["bsg-000044","bsg-s000044"],"name":"FAIRsharing record for: Ontology of Physics for Biology","abbreviation":"OPB","url":"https://fairsharing.org/10.25504/FAIRsharing.qcceez","doi":"10.25504/FAIRsharing.qcceez","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Physics for Biology is a reference of classical physics as applied to the dynamics of biological systems. This resource provides a reference ontology of physical properties (e.g., pressure, chemical concentration) and principles (e.g., Ohm’s law, Ficke’s law) by which the physical meaning of biosimulation models may be annotated.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11141},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11932},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12198}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Physics"],"domains":["Mathematical model","Concentration","Kinetic model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1125,"pubmed_id":22216106,"title":"Physical properties of biological entities: an introduction to the ontology of physics for biology.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0028708","authors":"Cook DL,Bookstein FL,Gennari JH","journal":"PLoS One","doi":"10.1371/journal.pone.0028708","created_at":"2021-09-30T08:24:24.650Z","updated_at":"2021-09-30T08:24:24.650Z"},{"id":2645,"pubmed_id":null,"title":"Bridging Biological Ontologies and Biosimulation: The Ontology of Physics for Biology","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656075/","authors":"Cook DL, Mejino JLV, Neal ML, Gennari JH.","journal":"AMIA Annual Symposium Proceedings","doi":null,"created_at":"2021-09-30T08:27:24.831Z","updated_at":"2021-09-30T11:28:37.022Z"},{"id":2646,"pubmed_id":24295137,"title":"Ontology of physics for biology: representing physical dependencies as a basis for biological processes.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-41","authors":"Cook DL,Neal ML,Bookstein FL,Gennari JH","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-41","created_at":"2021-09-30T08:27:24.938Z","updated_at":"2021-09-30T08:27:24.938Z"}],"licence_links":[],"grants":[{"id":5226,"fairsharing_record_id":177,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:19.438Z","updated_at":"2021-09-30T09:27:19.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5228,"fairsharing_record_id":177,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:19.531Z","updated_at":"2021-09-30T09:27:19.531Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5227,"fairsharing_record_id":177,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:19.498Z","updated_at":"2021-09-30T09:31:21.500Z","grant_id":1133,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 HL087706-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5225,"fairsharing_record_id":177,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:19.412Z","updated_at":"2021-09-30T09:28:56.983Z","grant_id":27,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM094503","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"212","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:04.000Z","updated_at":"2022-07-20T12:09:33.316Z","metadata":{"doi":"10.25504/FAIRsharing.5Xy1dJ","name":"FAIR Maturity Indicator Gen2-MI-F3","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F3.md","identifier":212,"description":"The FAIR Maturity Indicator Gen2-MI-F3 measures whether the metadata document contains both its own GUID (which may be different from its address), and whether it also explicitly contains the GUID for the data resource it describes.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001376","bsg-s001376"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F3","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.5Xy1dJ","doi":"10.25504/FAIRsharing.5Xy1dJ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F3 measures whether the metadata document contains both its own GUID (which may be different from its address), and whether it also explicitly contains the GUID for the data resource it describes.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13166},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13209},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13227},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13257},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13272},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20170}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1487,"relation":"undefined"}],"grants":[{"id":5290,"fairsharing_record_id":212,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:21.902Z","updated_at":"2021-09-30T09:27:21.902Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5287,"fairsharing_record_id":212,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:21.789Z","updated_at":"2021-09-30T09:27:21.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5288,"fairsharing_record_id":212,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:21.825Z","updated_at":"2021-09-30T09:27:21.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5289,"fairsharing_record_id":212,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:21.863Z","updated_at":"2021-09-30T09:27:21.863Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"213","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:19.995Z","metadata":{"doi":"10.25504/FAIRsharing.wp0134","name":"Clusters of Orthologous Groups (COG) Analysis Ontology","status":"ready","contacts":[{"contact_name":"Asiyah Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"http://sourceforge.net/projects/cao/","identifier":213,"description":"CAO ontology is designed for supporting the COG enrichment study by using Fisher's exact test. It is used for the ontology based application for statistical analysis on COG db.","abbreviation":"CAO","support_links":[{"url":"http://www.hegroup.org/docs/OntoCOG_ICBO-2011_Proceeding.pdf","type":"Help documentation"}],"year_creation":1996,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CAO","name":"CAO","portal":"BioPortal"}]},"legacy_ids":["bsg-002712","bsg-s002712"],"name":"FAIRsharing record for: Clusters of Orthologous Groups (COG) Analysis Ontology","abbreviation":"CAO","url":"https://fairsharing.org/10.25504/FAIRsharing.wp0134","doi":"10.25504/FAIRsharing.wp0134","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CAO ontology is designed for supporting the COG enrichment study by using Fisher's exact test. It is used for the ontology based application for statistical analysis on COG db.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phylogenetics","Life Science"],"domains":["Annotation","Protein","Transcript","Gene","Amino acid sequence","Orthologous"],"taxonomies":["Archaea","Bacteria","Fungi","Methanocaldococcus jannaschii","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":434,"pubmed_id":9381173,"title":"A genomic perspective on protein families.","year":1997,"url":"http://doi.org/10.1126/science.278.5338.631","authors":"Tatusov RL., Koonin EV., Lipman DJ.,","journal":"Science","doi":"10.1126/science.278.5338.631","created_at":"2021-09-30T08:23:07.176Z","updated_at":"2021-09-30T08:23:07.176Z"}],"licence_links":[],"grants":[{"id":5291,"fairsharing_record_id":213,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:21.938Z","updated_at":"2021-09-30T09:27:21.938Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5292,"fairsharing_record_id":213,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:21.980Z","updated_at":"2021-09-30T09:27:21.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"214","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:09.000Z","updated_at":"2022-07-20T12:41:11.471Z","metadata":{"doi":"10.25504/FAIRsharing.x1f1l4","name":"FAIR Maturity Indicator Gen2-MI-F4","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F4.md","identifier":214,"description":"The FAIR Maturity Indicator Gen2-MI-F4 measures the degree to which the digital resource can be found using web-based search engines.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001377","bsg-s001377"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F4","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.x1f1l4","doi":"10.25504/FAIRsharing.x1f1l4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F4 measures the degree to which the digital resource can be found using web-based search engines.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13207},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13226},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13256},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13271},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20171}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1488,"relation":"undefined"}],"grants":[{"id":5293,"fairsharing_record_id":214,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:22.017Z","updated_at":"2021-09-30T09:27:22.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5294,"fairsharing_record_id":214,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:22.050Z","updated_at":"2021-09-30T09:27:22.050Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5295,"fairsharing_record_id":214,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:22.074Z","updated_at":"2021-09-30T09:27:22.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5296,"fairsharing_record_id":214,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:22.099Z","updated_at":"2021-09-30T09:27:22.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"215","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.961Z","metadata":{"doi":"10.25504/FAIRsharing.qeb7hb","name":"Pharmacogenomic Relationships Ontology","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"adrien.coulet@loria.fr","contact_orcid":"0000-0002-1466-062X"}],"homepage":"http://bioportal.bioontology.org/ontologies/1550","identifier":215,"description":"The PHArmacogenomic RElationships Ontology (or PHARE) proposes concepts and roles to represent relationships of pharmacogenomics interest.","abbreviation":"PHARE","year_creation":2010},"legacy_ids":["bsg-002697","bsg-s002697"],"name":"FAIRsharing record for: Pharmacogenomic Relationships Ontology","abbreviation":"PHARE","url":"https://fairsharing.org/10.25504/FAIRsharing.qeb7hb","doi":"10.25504/FAIRsharing.qeb7hb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PHArmacogenomic RElationships Ontology (or PHARE) proposes concepts and roles to represent relationships of pharmacogenomics interest.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11722},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12455}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacology","Pharmacogenomics","Biomedical Science"],"domains":["Chemical entity","Molecular interaction","Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1762,"pubmed_id":21624156,"title":"Integration and publication of heterogeneous text-mined relationships on the Semantic Web.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-S2-S10","authors":"Coulet A,Garten Y,Dumontier M,Altman RB,Musen MA,Shah NH","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-S2-S10","created_at":"2021-09-30T08:25:37.705Z","updated_at":"2021-09-30T08:25:37.705Z"}],"licence_links":[],"grants":[{"id":5297,"fairsharing_record_id":215,"organisation_id":2981,"relation":"maintains","created_at":"2021-09-30T09:27:22.130Z","updated_at":"2021-09-30T09:27:22.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5298,"fairsharing_record_id":215,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:22.171Z","updated_at":"2021-09-30T09:30:52.494Z","grant_id":913,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5301,"fairsharing_record_id":215,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:22.291Z","updated_at":"2021-09-30T09:27:22.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5299,"fairsharing_record_id":215,"organisation_id":2315,"relation":"funds","created_at":"2021-09-30T09:27:22.213Z","updated_at":"2021-09-30T09:30:54.957Z","grant_id":934,"is_lead":false,"saved_state":{"id":2315,"name":"PharmGKB","grant":"GM61374","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5300,"fairsharing_record_id":215,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:22.263Z","updated_at":"2021-09-30T09:29:04.760Z","grant_id":83,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"CNS-0619926","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"216","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:06:35.054Z","metadata":{"doi":"10.25504/FAIRsharing.rhhrtx","name":"Bone Dysplasia Ontology","status":"uncertain","contacts":[{"contact_name":"Tudor Groza","contact_email":"tudor.groza@uq.edu.au","contact_orcid":"0000-0003-2267-8333"}],"homepage":"http://bioportal.bioontology.org/ontologies/1613","citations":[],"identifier":216,"description":"The Bone Dysplasia ontology provides a comprehensive and formal representation of the different domain concepts involved in documenting the full complexity of the skeletal dysplasia domain. It captures and combines the genetic features that discriminate the bone dysplasias with the multitude of phenotypic characteristics manifested by patients and required to be taken into account in order to support the diagnosis process.","abbreviation":"BDO","year_creation":2011},"legacy_ids":["bsg-002719","bsg-s002719"],"name":"FAIRsharing record for: Bone Dysplasia Ontology","abbreviation":"BDO","url":"https://fairsharing.org/10.25504/FAIRsharing.rhhrtx","doi":"10.25504/FAIRsharing.rhhrtx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bone Dysplasia ontology provides a comprehensive and formal representation of the different domain concepts involved in documenting the full complexity of the skeletal dysplasia domain. It captures and combines the genetic features that discriminate the bone dysplasias with the multitude of phenotypic characteristics manifested by patients and required to be taken into account in order to support the diagnosis process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Bone disease","Mutation analysis","Phenotype","Bone","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1774,"pubmed_id":22449239,"title":"The Bone Dysplasia Ontology: integrating genotype and phenotype information in the skeletal dysplasia domain.","year":2012,"url":"http://doi.org/10.1186/1471-2105-13-50","authors":"Groza T,Hunter J,Zankl A","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-13-50","created_at":"2021-09-30T08:25:39.088Z","updated_at":"2021-09-30T08:25:39.088Z"}],"licence_links":[],"grants":[{"id":5302,"fairsharing_record_id":216,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:27:22.321Z","updated_at":"2021-09-30T09:27:22.321Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5303,"fairsharing_record_id":216,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:27:22.359Z","updated_at":"2021-09-30T09:31:37.260Z","grant_id":1252,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"SKELETOME--LP100100156","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5304,"fairsharing_record_id":216,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:27:22.405Z","updated_at":"2021-09-30T09:27:22.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"168","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.758Z","metadata":{"doi":"10.25504/FAIRsharing.xs6t67","name":"Fungal Gross Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Diane Inglis","contact_email":"dinglis@stanford.edu","contact_orcid":"0000-0003-3166-4638"}],"homepage":"https://github.com/obophenotype/fungal-anatomy-ontology","identifier":168,"description":"A structured controlled vocabulary for the anatomy of fungi.","abbreviation":"FAO","support_links":[{"url":"sgd-helpdesk@lists.stanford.edu","name":"Saccharomyces Genome Database","type":"Support email"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FAO","name":"FAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fao.html","name":"fao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002605","bsg-s002605"],"name":"FAIRsharing record for: Fungal Gross Anatomy Ontology","abbreviation":"FAO","url":"https://fairsharing.org/10.25504/FAIRsharing.xs6t67","doi":"10.25504/FAIRsharing.xs6t67","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the anatomy of fungi.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14554}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Microbiology"],"domains":[],"taxonomies":["Fungi","Saccharomyces"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"169","type":"fairsharing_records","attributes":{"created_at":"2017-02-23T11:48:15.000Z","updated_at":"2023-02-15T10:32:24.329Z","metadata":{"doi":"10.25504/FAIRsharing.nrx5kk","name":"Infrastructure for Spatial Information in Europe Data Specifications","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ENV-INSPIRE@ec.europa.eu"}],"homepage":"https://inspire.ec.europa.eu/data-specifications/2892","citations":[],"identifier":169,"description":"The INSPIRE Directive aims to create a European Union spatial data infrastructure for the purposes of EU environmental policies and policies or activities which may have an impact on the environment. This European Spatial Data Infrastructure will enable the sharing of environmental spatial information among public sector organisations, facilitate public access to spatial information across Europe and assist in policy-making across boundaries.","abbreviation":"INSPIRE","support_links":[{"url":"http://inspire.ec.europa.eu/portfolio/training-library","type":"Training documentation"}],"year_creation":2007},"legacy_ids":["bsg-000691","bsg-s000691"],"name":"FAIRsharing record for: Infrastructure for Spatial Information in Europe Data Specifications","abbreviation":"INSPIRE","url":"https://fairsharing.org/10.25504/FAIRsharing.nrx5kk","doi":"10.25504/FAIRsharing.nrx5kk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The INSPIRE Directive aims to create a European Union spatial data infrastructure for the purposes of EU environmental policies and policies or activities which may have an impact on the environment. This European Spatial Data Infrastructure will enable the sharing of environmental spatial information among public sector organisations, facilitate public access to spatial information across Europe and assist in policy-making across boundaries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Soil Science","Environmental Science","Geology","Transportation Planning","Geography","Energy Engineering","Health Science","Hydrography","Atmospheric Science","Agriculture","Mineralogy","Oceanography"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":5206,"fairsharing_record_id":169,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:18.880Z","updated_at":"2021-09-30T09:27:18.880Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"170","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:05.005Z","metadata":{"doi":"10.25504/FAIRsharing.p9xm4v","name":"ABA Adult Mouse Brain","status":"ready","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmu.edu"}],"homepage":"http://mouse.brain-map.org","identifier":170,"description":"ABA Adult Mouse Brain is a standardised collection of the expression patterns of thousands of adult brain genes. This resource can be used for a vast array of research on brain organisation and function. There are lighter versions of this ontology that are customised for the NeuroMorpho.Org brain regions.","abbreviation":"ABA","support_links":[{"url":"http://allins.convio.net/site/PageServer?pagename=send_message_ai","name":"contact form","type":"Contact form"}],"year_creation":2006},"legacy_ids":["bsg-002606","bsg-s002606"],"name":"FAIRsharing record for: ABA Adult Mouse Brain","abbreviation":"ABA","url":"https://fairsharing.org/10.25504/FAIRsharing.p9xm4v","doi":"10.25504/FAIRsharing.p9xm4v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ABA Adult Mouse Brain is a standardised collection of the expression patterns of thousands of adult brain genes. This resource can be used for a vast array of research on brain organisation and function. There are lighter versions of this ontology that are customised for the NeuroMorpho.Org brain regions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neuroscience"],"domains":["Gene expression","Brain","Brain imaging"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2427,"pubmed_id":17151600,"title":"Genome-wide atlas of gene expression in the adult mouse brain.","year":2006,"url":"http://doi.org/10.1038/nature05453","authors":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","journal":"Nature","doi":"10.1038/nature05453","created_at":"2021-09-30T08:26:57.828Z","updated_at":"2021-09-30T08:26:57.828Z"}],"licence_links":[],"grants":[{"id":5207,"fairsharing_record_id":170,"organisation_id":59,"relation":"maintains","created_at":"2021-09-30T09:27:18.904Z","updated_at":"2021-09-30T09:27:18.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":59,"name":"Allen Brain Atlas Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"171","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:38:31.888Z","metadata":{"doi":"10.25504/FAIRsharing.qdjc1z","name":"Pharmacovigilance Ontology","status":"deprecated","contacts":[{"contact_name":"Jun (Luke) Huan","contact_email":"jhuan@ittc.ku.edu","contact_orcid":"0000-0003-4929-2617"}],"homepage":"http://bioportal.bioontology.org/ontologies/1567","citations":[],"identifier":171,"description":"The pharmacovigilance ontology connects known facts on drugs, disease, ADEs, and their molecular mechanisms.","abbreviation":"PVONTO","support_links":[{"url":"http://www.ittc.ku.edu/~jhuan/","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PVONTO","name":"PVONTO","portal":"BioPortal"}],"deprecation_date":"2024-05-06","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002701","bsg-s002701"],"name":"FAIRsharing record for: Pharmacovigilance Ontology","abbreviation":"PVONTO","url":"https://fairsharing.org/10.25504/FAIRsharing.qdjc1z","doi":"10.25504/FAIRsharing.qdjc1z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The pharmacovigilance ontology connects known facts on drugs, disease, ADEs, and their molecular mechanisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Molecular interaction","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5210,"fairsharing_record_id":171,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:18.979Z","updated_at":"2021-09-30T09:27:18.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9165,"fairsharing_record_id":171,"organisation_id":1622,"relation":"maintains","created_at":"2022-04-11T12:07:18.741Z","updated_at":"2022-04-11T12:07:18.741Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"172","type":"fairsharing_records","attributes":{"created_at":"2021-01-04T13:13:00.000Z","updated_at":"2022-09-28T15:03:03.071Z","metadata":{"doi":"10.25504/FAIRsharing.fyiMub","name":"Electrical engineering and Electro-energetics vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/BJW/en/","citations":[],"identifier":172,"description":"Terminology resource derived from a controlled vocabulary used for indexing bibliographical records for the PASCAL database of Inist (1972-2015, http://pascal-francis.inist.fr/), in the fields of Electrical engineering and Electro-energetics. It is aligned with wikidata. This resource contains 6630 entries grouped into 34 collections.","abbreviation":null,"year_creation":2020},"legacy_ids":["bsg-001557","bsg-s001557"],"name":"FAIRsharing record for: Electrical engineering and Electro-energetics vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fyiMub","doi":"10.25504/FAIRsharing.fyiMub","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology resource derived from a controlled vocabulary used for indexing bibliographical records for the PASCAL database of Inist (1972-2015, http://pascal-francis.inist.fr/), in the fields of Electrical engineering and Electro-energetics. It is aligned with wikidata. This resource contains 6630 entries grouped into 34 collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Energy Engineering","Electrical Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Electro-energetics"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":259,"relation":"undefined"}],"grants":[{"id":5211,"fairsharing_record_id":172,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:19.003Z","updated_at":"2021-09-30T09:27:19.003Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5212,"fairsharing_record_id":172,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:19.030Z","updated_at":"2021-09-30T09:27:19.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"173","type":"fairsharing_records","attributes":{"created_at":"2020-12-18T19:24:10.000Z","updated_at":"2023-03-14T18:04:25.150Z","metadata":{"doi":"10.25504/FAIRsharing.LKgRmR","name":"Genomedata","status":"ready","contacts":[{"contact_name":"Michael Hoffman","contact_email":"genomedata-l@listserv.utoronto.ca","contact_orcid":"0000-0002-4517-1562"}],"homepage":"https://genomedata.hoffmanlab.org/","citations":[{"doi":"10.1093/bioinformatics/btq164","pubmed_id":20435580,"publication_id":3107}],"identifier":173,"description":"Genomedata is a format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. We have also developed utilities to load data into this format. A reference implementation in Python and C components is available here under the GNU General Public License.","abbreviation":"Genomedata","year_creation":2009},"legacy_ids":["bsg-001569","bsg-s001569"],"name":"FAIRsharing record for: Genomedata","abbreviation":"Genomedata","url":"https://fairsharing.org/10.25504/FAIRsharing.LKgRmR","doi":"10.25504/FAIRsharing.LKgRmR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genomedata is a format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. We have also developed utilities to load data into this format. A reference implementation in Python and C components is available here under the GNU General Public License.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Genome","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":3107,"pubmed_id":20435580,"title":"The Genomedata format for storing large-scale functional genomics data.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq164","authors":"Hoffman MM,Buske OJ,Noble WS","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq164","created_at":"2021-09-30T08:28:22.742Z","updated_at":"2021-09-30T08:28:22.742Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":119,"relation":"undefined"}],"grants":[{"id":10415,"fairsharing_record_id":173,"organisation_id":714,"relation":"undefined","created_at":"2023-03-14T18:03:25.009Z","updated_at":"2023-03-14T18:03:25.009Z","grant_id":null,"is_lead":false,"saved_state":{"id":714,"name":"Department of Genome Sciences, University of Washington","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"178","type":"fairsharing_records","attributes":{"created_at":"2016-01-21T09:00:51.000Z","updated_at":"2022-07-20T12:57:55.507Z","metadata":{"doi":"10.25504/FAIRsharing.kbz5jh","name":"Mathematical Modelling Ontology","status":"ready","contacts":[{"contact_name":"Nicolas Le Novere","contact_email":"n.lenovere@gmail.com","contact_orcid":"0000-0002-6309-7327"}],"homepage":"http://co.mbine.org/standards/mamo","identifier":178,"description":"Classification of the types of mathematical models used mostly in the life sciences, the types of variables, the types of readout and other relevant features.","abbreviation":"MAMO","support_links":[{"url":"https://sourceforge.net/p/mamo-ontology/mailman/mamo-ontology-discuss/","name":"Discussion Mailing List","type":"Mailing list"},{"url":"https://sourceforge.net/p/mamo-ontology/wiki/Home/","name":"Wiki Pages","type":"Help documentation"},{"url":"https://sourceforge.net/projects/mamo-ontology/","name":"SourceForge Repository","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MAMO","name":"MAMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mamo.html","name":"mamo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000636","bsg-s000636"],"name":"FAIRsharing record for: Mathematical Modelling Ontology","abbreviation":"MAMO","url":"https://fairsharing.org/10.25504/FAIRsharing.kbz5jh","doi":"10.25504/FAIRsharing.kbz5jh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Classification of the types of mathematical models used mostly in the life sciences, the types of variables, the types of readout and other relevant features.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12100},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12231},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16921}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Mathematics","Computational Biology","Systems Biology"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":2403,"relation":"undefined"}],"grants":[{"id":5229,"fairsharing_record_id":178,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:19.554Z","updated_at":"2021-09-30T09:27:19.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"179","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:47:14.185Z","metadata":{"doi":"10.25504/FAIRsharing.175hsz","name":"General Formal Ontology","status":"ready","contacts":[{"contact_name":"Heinrich Herre","contact_email":"heinrich.herre@imise.uni-leipzig.de"}],"homepage":"https://www.onto-med.de/ontologies/gfo/","identifier":179,"description":"The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas.","abbreviation":"GFO","support_links":[{"url":"gfo-users@nongnu.org","name":"Users Mailing List","type":"Mailing list"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GFO","name":"GFO","portal":"BioPortal"}]},"legacy_ids":["bsg-002657","bsg-s002657"],"name":"FAIRsharing record for: General Formal Ontology","abbreviation":"GFO","url":"https://fairsharing.org/10.25504/FAIRsharing.175hsz","doi":"10.25504/FAIRsharing.175hsz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5231,"fairsharing_record_id":179,"organisation_id":3079,"relation":"maintains","created_at":"2021-09-30T09:27:19.619Z","updated_at":"2021-09-30T09:27:19.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":3079,"name":"University of Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5230,"fairsharing_record_id":179,"organisation_id":2250,"relation":"maintains","created_at":"2021-09-30T09:27:19.588Z","updated_at":"2021-09-30T09:27:19.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2250,"name":"Onto-Med Research Group, Universitat Leipzig, Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"180","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.441Z","metadata":{"doi":"10.25504/FAIRsharing.my19zk","name":"Minimum Information About a RNAi Experiment","status":"ready","contacts":[{"contact_name":"Peter Ghazal","contact_email":"p.ghazal@ed.ac.uk"}],"homepage":"http://miare.sourceforge.net","identifier":180,"description":"Minimum Information About an RNAi Experiment (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","abbreviation":"MIARE","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/miare-announce","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIARE.shtml","type":"Help documentation"},{"url":"http://miare.sourceforge.net/ChecklistV080","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000186","bsg-s000186"],"name":"FAIRsharing record for: Minimum Information About a RNAi Experiment","abbreviation":"MIARE","url":"https://fairsharing.org/10.25504/FAIRsharing.my19zk","doi":"10.25504/FAIRsharing.my19zk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimum Information About an RNAi Experiment (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11165},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11595},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12004}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Annotation","Gene expression","Regulation of gene expression","RNA interference","Assay","Small interfering RNA","Gene","Short Hairpin RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1524,"pubmed_id":17716236,"title":"Increasing the robustness and validity of RNAi screens.","year":2007,"url":"http://doi.org/10.2217/14622416.8.8.1037","authors":"Haney SA","journal":"Pharmacogenomics","doi":"10.2217/14622416.8.8.1037","created_at":"2021-09-30T08:25:10.629Z","updated_at":"2021-09-30T08:25:10.629Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":122,"relation":"undefined"}],"grants":[{"id":5232,"fairsharing_record_id":180,"organisation_id":1848,"relation":"maintains","created_at":"2021-09-30T09:27:19.659Z","updated_at":"2021-09-30T09:27:19.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":1848,"name":"Minimum Information About an RNAi Experiment (MIARE) informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"181","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:30.606Z","metadata":{"doi":"10.25504/FAIRsharing.xx2wv5","name":"Pharmacogenomics Ontology","status":"ready","contacts":[{"contact_name":"Teri E. Klein","contact_email":"teri.klein@stanford.edu"}],"homepage":"https://code.google.com/p/pharmgkb-owl/","identifier":181,"description":"The PharmGKB Ontology imports genetic sequence data, collected in relational format, into the OWL, and aims to automate the process of updating the links between the ontology and data acquisition when the ontology changes. They have linked PharmGKB with data acquisition from a relational model of genetic sequence information.","abbreviation":"PharmGKB-owl","support_links":[{"url":"feedback@pharmgkb.org","type":"Support email"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHARMGKB","name":"PHARMGKB","portal":"BioPortal"}]},"legacy_ids":["bsg-002745","bsg-s002745"],"name":"FAIRsharing record for: Pharmacogenomics Ontology","abbreviation":"PharmGKB-owl","url":"https://fairsharing.org/10.25504/FAIRsharing.xx2wv5","doi":"10.25504/FAIRsharing.xx2wv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PharmGKB Ontology imports genetic sequence data, collected in relational format, into the OWL, and aims to automate the process of updating the links between the ontology and data acquisition when the ontology changes. They have linked PharmGKB with data acquisition from a relational model of genetic sequence information.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12466}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacogenomics","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1778,"pubmed_id":16100408,"title":"PharmGKB: the pharmacogenetics and pharmacogenomics knowledge base.","year":2005,"url":"http://doi.org/10.1385/1-59259-957-5:179","authors":"Thorn CF,Klein TE,Altman RB","journal":"Methods Mol Biol","doi":"10.1385/1-59259-957-5:179","created_at":"2021-09-30T08:25:39.587Z","updated_at":"2021-09-30T08:25:39.587Z"}],"licence_links":[],"grants":[{"id":5233,"fairsharing_record_id":181,"organisation_id":2316,"relation":"maintains","created_at":"2021-09-30T09:27:19.700Z","updated_at":"2021-09-30T09:27:19.700Z","grant_id":null,"is_lead":false,"saved_state":{"id":2316,"name":"PharmGKB OWL Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"182","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-01-28T16:50:22.401Z","metadata":{"doi":"10.25504/FAIRsharing.18je7e","name":"Ontology for Newborn Screening Follow-up and Translational Research","status":"deprecated","contacts":[{"contact_name":"Snezana Nikolic","contact_email":"snez.sn@gmail.com"},{"contact_name":"Rani H. Singh","contact_email":"rsingh@emory.edu","contact_orcid":null}],"homepage":"http://code.google.com/p/onstr/","citations":[],"identifier":182,"description":"Ontology for Newborn Screening Follow-up and Translational Research (ONSTR) is an application ontology for representing data entities, practices and knowledge in the domain of newborn screening and short-­‐ and long-­‐term follow-­‐up of patients diagnosed with inheritable and congenital disorders. No project homepage could be found, and the resource has not been updated recently. Please get in touch if you have information about this resource.","abbreviation":"ONSTR","support_links":[{"url":"http://ceur-ws.org/Vol-1060/icbo2013_submission_47.pdf","name":"Submission Manuscript","type":"Other"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONSTR","name":"ONSTR","portal":"BioPortal"}],"deprecation_date":"2022-01-24","deprecation_reason":"This resource has not been updated recently, and we have not been able to contact the developers. Please get in touch if you have information on this resource."},"legacy_ids":["bsg-000954","bsg-s000954"],"name":"FAIRsharing record for: Ontology for Newborn Screening Follow-up and Translational Research","abbreviation":"ONSTR","url":"https://fairsharing.org/10.25504/FAIRsharing.18je7e","doi":"10.25504/FAIRsharing.18je7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Newborn Screening Follow-up and Translational Research (ONSTR) is an application ontology for representing data entities, practices and knowledge in the domain of newborn screening and short-­‐ and long-­‐term follow-­‐up of patients diagnosed with inheritable and congenital disorders. No project homepage could be found, and the resource has not been updated recently. Please get in touch if you have information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Pediatrics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8720,"fairsharing_record_id":182,"organisation_id":857,"relation":"maintains","created_at":"2022-01-10T14:10:12.998Z","updated_at":"2022-01-10T14:10:12.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":857,"name":"Emory University, Atlanta, Georgia, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"202","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:12:09.115Z","metadata":{"doi":"10.25504/FAIRsharing.m283c","name":"Uniprot Core Ontology","status":"ready","contacts":[],"homepage":"http://purl.uniprot.org/core/","citations":[],"identifier":202,"description":"The UniProt core is an OWL ontology that describes the predicates, classes and concepts used to model the UniProt data in RDF.","abbreviation":"core","support_links":[{"url":"http://www.uniprot.org/contact","type":"Contact form"},{"url":"help@uniprot.org","type":"Support email"},{"url":"http://www.uniprot.org/help/","type":"Help documentation"}]},"legacy_ids":["bsg-002767","bsg-s002767"],"name":"FAIRsharing record for: Uniprot Core Ontology","abbreviation":"core","url":"https://fairsharing.org/10.25504/FAIRsharing.m283c","doi":"10.25504/FAIRsharing.m283c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniProt core is an OWL ontology that describes the predicates, classes and concepts used to model the UniProt data in RDF.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Annotation","Protein"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":944,"relation":"undefined"}],"grants":[{"id":5264,"fairsharing_record_id":202,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:27:20.896Z","updated_at":"2021-09-30T09:27:20.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5265,"fairsharing_record_id":202,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:27:20.954Z","updated_at":"2021-09-30T09:27:20.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"203","type":"fairsharing_records","attributes":{"created_at":"2015-09-28T10:20:17.000Z","updated_at":"2022-07-20T12:47:14.325Z","metadata":{"doi":"10.25504/FAIRsharing.4ehmy9","name":"Observations and Measurements","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"simon.cox@csiro.au","contact_orcid":"0000-0002-3884-3420"}],"homepage":"http://www.opengeospatial.org/standards/om","citations":[],"identifier":203,"description":"A conceptual schema for observations, and for features involved in sampling when making observations. These provide models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities. Observations commonly involve sampling of an ultimate feature of interest. This International Standard defines a common set of sampling feature types classified primarily by topological dimension, as well as samples for ex-situ observations. The schema includes relationships between sampling features (sub-sampling, derived samples). This standard describes a UML model for observations and sampling features, which is integrated into the ISO TC 211 Harmonized Model.","abbreviation":"O\u0026M","support_links":[{"url":"http://www.opengeospatial.org/contacts","type":"Contact form"},{"url":"https://www.seegrid.csiro.au/wiki/AppSchemas/ObservationsAndSampling","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"http://ogc.standardstracker.org","name":"Standards Tracker"}]},"legacy_ids":["bsg-000619","bsg-s000619"],"name":"FAIRsharing record for: Observations and Measurements","abbreviation":"O\u0026M","url":"https://fairsharing.org/10.25504/FAIRsharing.4ehmy9","doi":"10.25504/FAIRsharing.4ehmy9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A conceptual schema for observations, and for features involved in sampling when making observations. These provide models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities. Observations commonly involve sampling of an ultimate feature of interest. This International Standard defines a common set of sampling feature types classified primarily by topological dimension, as well as samples for ex-situ observations. The schema includes relationships between sampling features (sub-sampling, derived samples). This standard describes a UML model for observations and sampling features, which is integrated into the ISO TC 211 Harmonized Model.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Engineering Science","Natural Science","Earth Science"],"domains":["Resource metadata","Experimental measurement","Observation design","Measurement"],"taxonomies":["All"],"user_defined_tags":["Defence and intelligence","Forecasting","Natural Resources, Earth and Environment","Open Science"],"countries":["Worldwide"],"publications":[{"id":800,"pubmed_id":null,"title":"ISO 19156:2011 Geographic information -- Observations and measurements","year":2011,"url":"https://www.iso.org/obp/ui/#iso:std:iso:19156:ed-1:v1:en","authors":"No authors listed","journal":"International Standard","doi":null,"created_at":"2021-09-30T08:23:48.201Z","updated_at":"2021-09-30T11:28:31.077Z"},{"id":2486,"pubmed_id":null,"title":"Topic 20: Observations and measurements","year":2010,"url":"https://portal.ogc.org/files/?artifact_id=41579","authors":"Simon Cox","journal":"OGC Abstract Specification","doi":null,"created_at":"2021-09-30T08:27:04.819Z","updated_at":"2021-09-30T11:28:35.980Z"}],"licence_links":[],"grants":[{"id":5266,"fairsharing_record_id":203,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:20.996Z","updated_at":"2021-09-30T09:27:20.996Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5267,"fairsharing_record_id":203,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:21.039Z","updated_at":"2021-09-30T09:27:21.039Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5268,"fairsharing_record_id":203,"organisation_id":624,"relation":"undefined","created_at":"2021-09-30T09:27:21.075Z","updated_at":"2021-09-30T09:27:21.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":624,"name":"CSIRO Land and Water, Highett, Australia","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"204","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-26T09:18:58.930Z","metadata":{"doi":"10.25504/FAIRsharing.sdjk2h","name":"Metathesaurus Current Procedural Terminology","status":"ready","contacts":[{"contact_name":"Customer Service","contact_email":"custserv@nlm.nih.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/CPT/metarepresentation.html","citations":[],"identifier":204,"description":"The Current Procedural Terminology (CPT), a product of the American Medical Association (AMA), are a list of descriptive terms and identifying numeric codes for medical services and procedures that are provided by physicians and health care professionals. CPT codes are used by healthcare professionals for billing of medical services and procedures to public and private health insurance programs.\n\n","abbreviation":"CPT","support_links":[{"url":"https://www.ama-assn.org/topics/cpt-codes","name":"CPT Codes","type":"Help documentation"},{"url":"https://www.ama-assn.org/amaone/cpt-current-procedural-terminology","name":"CPT® (Current Procedural Terminology)","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-002673","bsg-s002673"],"name":"FAIRsharing record for: Metathesaurus Current Procedural Terminology","abbreviation":"CPT","url":"https://fairsharing.org/10.25504/FAIRsharing.sdjk2h","doi":"10.25504/FAIRsharing.sdjk2h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Current Procedural Terminology (CPT), a product of the American Medical Association (AMA), are a list of descriptive terms and identifying numeric codes for medical services and procedures that are provided by physicians and health care professionals. CPT codes are used by healthcare professionals for billing of medical services and procedures to public and private health insurance programs.\n\n","linked_records":[],"linking_records":[{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17688}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":3367,"relation":"applies_to_content"}],"grants":[{"id":5269,"fairsharing_record_id":204,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:27:21.112Z","updated_at":"2021-09-30T09:27:21.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11010,"fairsharing_record_id":204,"organisation_id":78,"relation":"associated_with","created_at":"2023-10-18T19:30:18.755Z","updated_at":"2023-10-18T19:30:18.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":78,"name":"American Medical Association, USA","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"205","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.703Z","metadata":{"doi":"10.25504/FAIRsharing.xyj0nr","name":"Cognitive Paradigm Ontology","status":"ready","contacts":[{"contact_name":"Jessica Turner","contact_email":"jturner@mrn.org"}],"homepage":"http://www.cogpo.org","identifier":205,"description":"This ontology is used to describe the experimental conditions within cognitive/behavioral experiments, primarily in humans. CogPO is a framework for the formal representation of the cognitive paradigms used in behavioral experiments, driven by cognitive neuroscience and neuroimaging examples.","abbreviation":"CogPO","support_links":[{"url":"http://wiki.cogpo.org/index.php?title=Main_Page","name":"Wiki","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COGPO","name":"COGPO","portal":"BioPortal"}]},"legacy_ids":["bsg-002700","bsg-s002700"],"name":"FAIRsharing record for: Cognitive Paradigm Ontology","abbreviation":"CogPO","url":"https://fairsharing.org/10.25504/FAIRsharing.xyj0nr","doi":"10.25504/FAIRsharing.xyj0nr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is used to describe the experimental conditions within cognitive/behavioral experiments, primarily in humans. CogPO is a framework for the formal representation of the cognitive paradigms used in behavioral experiments, driven by cognitive neuroscience and neuroimaging examples.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Imaging","Behavior","Cognition","Assay","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2161,"pubmed_id":21643732,"title":"The cognitive paradigm ontology: design and application.","year":2011,"url":"http://doi.org/10.1007/s12021-011-9126-x","authors":"Turner JA,Laird AR","journal":"Neuroinformatics","doi":"10.1007/s12021-011-9126-x","created_at":"2021-09-30T08:26:23.616Z","updated_at":"2021-09-30T08:26:23.616Z"}],"licence_links":[],"grants":[{"id":5273,"fairsharing_record_id":205,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:27:21.224Z","updated_at":"2021-09-30T09:27:21.224Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5271,"fairsharing_record_id":205,"organisation_id":1839,"relation":"maintains","created_at":"2021-09-30T09:27:21.165Z","updated_at":"2021-09-30T09:27:21.165Z","grant_id":null,"is_lead":false,"saved_state":{"id":1839,"name":"Mind Research Network (MRN), Albuquerque, NM, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5272,"fairsharing_record_id":205,"organisation_id":2429,"relation":"funds","created_at":"2021-09-30T09:27:21.193Z","updated_at":"2021-09-30T09:27:21.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2429,"name":"Research Imaging Institute, University of Texas Health Science Center, Texas, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5274,"fairsharing_record_id":205,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:27:21.255Z","updated_at":"2021-09-30T09:30:02.738Z","grant_id":528,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"1R01MH084812-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"198","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-02T07:58:27.026Z","metadata":{"doi":"10.25504/FAIRsharing.wpxab1","name":"Current Procedural Terminology","status":"ready","contacts":[{"contact_name":"Dorith Brown","contact_email":"msc@ama-assn.org"}],"homepage":"https://www.ama-assn.org/practice-management/cpt/ama-cpt-licensing-overview","citations":[],"identifier":198,"description":"Current Procedural Terminology is a medical nomenclature used to report medical procedures and services under public and private health insurance programs.","abbreviation":"CPT","year_creation":1966,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CPT","name":"CPT","portal":"BioPortal"}]},"legacy_ids":["bsg-002669","bsg-s002669"],"name":"FAIRsharing record for: Current Procedural Terminology","abbreviation":"CPT","url":"https://fairsharing.org/10.25504/FAIRsharing.wpxab1","doi":"10.25504/FAIRsharing.wpxab1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Current Procedural Terminology is a medical nomenclature used to report medical procedures and services under public and private health insurance programs.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13174},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16971}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1743,"pubmed_id":24589819,"title":"Current procedural terminology; a primer.","year":2014,"url":"http://doi.org/10.1136/neurintsurg-2014-011156","authors":"Hirsch JA,Leslie-Mazwi TM,Nicola GN,Barr RM,Bello JA,Donovan WD,Tu R,Alson MD,Manchikanti L","journal":"J Neurointerv Surg","doi":"10.1136/neurintsurg-2014-011156","created_at":"2021-09-30T08:25:35.555Z","updated_at":"2021-09-30T08:25:35.555Z"},{"id":1751,"pubmed_id":18359442,"title":"CPT: an open system that describes all that you do.","year":2008,"url":"http://doi.org/10.1016/j.jacr.2007.10.004","authors":"Thorwarth WT Jr","journal":"J Am Coll Radiol","doi":"10.1016/j.jacr.2007.10.004","created_at":"2021-09-30T08:25:36.495Z","updated_at":"2021-09-30T08:25:36.495Z"}],"licence_links":[],"grants":[{"id":5258,"fairsharing_record_id":198,"organisation_id":78,"relation":"maintains","created_at":"2021-09-30T09:27:20.633Z","updated_at":"2021-09-30T09:27:20.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":78,"name":"American Medical Association, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"199","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.149Z","metadata":{"doi":"10.25504/FAIRsharing.7zxrs6","name":"Edinburgh human developmental anatomy abstract version 2","status":"ready","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/EHDAA2","identifier":199,"description":"The EHDAA2 ontology is a human developmental anatomy covering the first 49 days [Carnegie stages (CS)1–20], primarily structured around the parts of organ systems and their development. The ontology includes more than 2000 anatomical entities (AEs) that range from the whole embryo, through organ systems and organ parts down to simple or leaf tissues (groups of cells with the same morphological phenotype), as well as features such as cavities. It represents a complete rebuilding of the EHDA intended to meet current standards. The intention has been to include as much information about human developmental anatomy as is practical and as is available in the literature.","abbreviation":"EHDAA2","support_links":[{"url":"http://www.emouseatlas.org/emap/help/feedback/popupemap.php","type":"Contact form"},{"url":"emap@emouseatlas.org","type":"Support email"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EHDAA2","name":"EHDAA2","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ehdaa2.html","name":"ehdaa2","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002675","bsg-s002675"],"name":"FAIRsharing record for: Edinburgh human developmental anatomy abstract version 2","abbreviation":"EHDAA2","url":"https://fairsharing.org/10.25504/FAIRsharing.7zxrs6","doi":"10.25504/FAIRsharing.7zxrs6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EHDAA2 ontology is a human developmental anatomy covering the first 49 days [Carnegie stages (CS)1–20], primarily structured around the parts of organ systems and their development. The ontology includes more than 2000 anatomical entities (AEs) that range from the whole embryo, through organ systems and organ parts down to simple or leaf tissues (groups of cells with the same morphological phenotype), as well as features such as cavities. It represents a complete rebuilding of the EHDA intended to meet current standards. The intention has been to include as much information about human developmental anatomy as is practical and as is available in the literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Biomedical Science"],"domains":["Animal organ development","Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1052,"pubmed_id":22973865,"title":"A new ontology (structured hierarchy) of human developmental anatomy for the first 7 weeks (Carnegie stages 1-20).","year":2012,"url":"http://doi.org/10.1111/j.1469-7580.2012.01566.x","authors":"Bard J","journal":"J Anat","doi":"10.1111/j.1469-7580.2012.01566.x","created_at":"2021-09-30T08:24:16.472Z","updated_at":"2021-09-30T08:24:16.472Z"}],"licence_links":[],"grants":[{"id":5259,"fairsharing_record_id":199,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:27:20.666Z","updated_at":"2021-09-30T09:27:20.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"200","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:43:04.504Z","metadata":{"doi":"10.25504/FAIRsharing.bgx54j","name":"MaHCO","status":"ready","contacts":[{"contact_name":"David S. DeLuca","contact_email":"david_deluca@dfci.harvard.edu","contact_orcid":"0000-0002-0141-9116"}],"homepage":"http://www.bioinformatics.org/mahco/wiki/","identifier":200,"description":"MHC, or major histocompatibility complex is a gene complex found in jawed vertebrates. The genes found on this region of the genome include several important genes which encode proteins which are responsible for presenting peptides on the cell surface for inspection by cells of the immune system. In human, such genes are called HLA (human leukocyte antigen). MaHCO contains terms necessary for describing and categorizing concepts related to MHC, in general, and for a number of model species, and also for humans.","abbreviation":"MHC","support_links":[{"url":"http://www.bioinformatics.org/forums/?group_id=950","type":"Forum"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MHC","name":"MHC","portal":"BioPortal"}]},"legacy_ids":["bsg-002619","bsg-s002619"],"name":"FAIRsharing record for: MaHCO","abbreviation":"MHC","url":"https://fairsharing.org/10.25504/FAIRsharing.bgx54j","doi":"10.25504/FAIRsharing.bgx54j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MHC, or major histocompatibility complex is a gene complex found in jawed vertebrates. The genes found on this region of the genome include several important genes which encode proteins which are responsible for presenting peptides on the cell surface for inspection by cells of the immune system. In human, such genes are called HLA (human leukocyte antigen). MaHCO contains terms necessary for describing and categorizing concepts related to MHC, in general, and for a number of model species, and also for humans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science"],"domains":["Major histocompatibility complex","Immune system"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":900,"pubmed_id":19429601,"title":"MaHCO: an ontology of the major histocompatibility complex for immunoinformatic applications and text mining.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp306","authors":"DeLuca DS,Beisswanger E,Wermter J,Horn PA,Hahn U,Blasczyk R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp306","created_at":"2021-09-30T08:23:59.437Z","updated_at":"2021-09-30T08:23:59.437Z"}],"licence_links":[],"grants":[{"id":5261,"fairsharing_record_id":200,"organisation_id":1747,"relation":"maintains","created_at":"2021-09-30T09:27:20.771Z","updated_at":"2021-09-30T09:27:20.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":1747,"name":"Major Histocompatibility Complex ontology (MHC) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9343,"fairsharing_record_id":200,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.764Z","updated_at":"2022-04-11T12:07:31.782Z","grant_id":94,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01DS001A-1C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"201","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.359Z","metadata":{"doi":"10.25504/FAIRsharing.eawbqb","name":"Cell Culture Ontology","status":"ready","contacts":[{"contact_name":"Matthias Ganzinger","contact_email":"matthias.ganzinger@med.uni-heidelberg.de","contact_orcid":"0000-0002-2716-5425"}],"homepage":"http://bioportal.bioontology.org/ontologies/3108","identifier":201,"description":"Cell Culture Ontology (CCONT) is an ontology for the formal representation of cell lines and their corresponding culture conditions.","abbreviation":"CCONT","year_creation":2011},"legacy_ids":["bsg-002827","bsg-s002827"],"name":"FAIRsharing record for: Cell Culture Ontology","abbreviation":"CCONT","url":"https://fairsharing.org/10.25504/FAIRsharing.eawbqb","doi":"10.25504/FAIRsharing.eawbqb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cell Culture Ontology (CCONT) is an ontology for the formal representation of cell lines and their corresponding culture conditions.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10881}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Cell line","Cell","Disease process modeling","Cell culture"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":1796,"pubmed_id":23144907,"title":"On the ontology based representation of cell lines.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0048584","authors":"Ganzinger M,He S,Breuhahn K,Knaup P","journal":"PLoS One","doi":"10.1371/journal.pone.0048584","created_at":"2021-09-30T08:25:41.646Z","updated_at":"2021-09-30T08:25:41.646Z"}],"licence_links":[],"grants":[{"id":5262,"fairsharing_record_id":201,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:20.812Z","updated_at":"2021-09-30T09:27:20.812Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5263,"fairsharing_record_id":201,"organisation_id":3062,"relation":"maintains","created_at":"2021-09-30T09:27:20.854Z","updated_at":"2021-09-30T09:27:20.854Z","grant_id":null,"is_lead":false,"saved_state":{"id":3062,"name":"University of Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"147","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:43:36.533Z","metadata":{"doi":"10.25504/FAIRsharing.6tgyxf","name":"FlyBase Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Clare Pilgrim","contact_email":"cp390@cam.ac.uk","contact_orcid":"0000-0002-1373-1705"}],"homepage":"https://github.com/FlyBase/flybase-controlled-vocabulary","citations":[],"identifier":147,"description":"A structured controlled vocabulary developed and used by FlyBase, including the Drosophila phenotype ontology. It is used in annotation and classification of data related to Drosophila, including phenotypes and expression.","abbreviation":"FBcv","support_links":[{"url":"https://github.com/FlyBase/flybase-controlled-vocabulary/issues","type":"Github"},{"url":"https://github.com/FlyBase/flybase-controlled-vocabulary","type":"Github"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FB-CV","name":"FB-CV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fbcv.html","name":"FBcv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002614","bsg-s002614"],"name":"FAIRsharing record for: FlyBase Controlled Vocabulary","abbreviation":"FBcv","url":"https://fairsharing.org/10.25504/FAIRsharing.6tgyxf","doi":"10.25504/FAIRsharing.6tgyxf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary developed and used by FlyBase, including the Drosophila phenotype ontology. It is used in annotation and classification of data related to Drosophila, including phenotypes and expression.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Phenotype"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1958,"pubmed_id":24138933,"title":"The Drosophila phenotype ontology","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-30","authors":"Osumi-Sutherland D., Marygold S. J., Millburn G. H., McQuilton P. A., Ponting. L., Stefancsik R., Falls K., Brown N. H., Gkoutos G. V.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-4-30","created_at":"2021-09-30T08:26:00.340Z","updated_at":"2021-09-30T08:26:00.340Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3671,"relation":"applies_to_content"}],"grants":[{"id":5163,"fairsharing_record_id":147,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:17.408Z","updated_at":"2021-09-30T09:31:23.242Z","grant_id":1146,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BBG0043581","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5161,"fairsharing_record_id":147,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:17.333Z","updated_at":"2021-09-30T09:30:23.538Z","grant_id":691,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"HG000739","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11847,"fairsharing_record_id":147,"organisation_id":4424,"relation":"maintains","created_at":"2024-06-26T13:05:18.121Z","updated_at":"2024-06-27T09:30:23.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":4424,"name":"Department of Physiology, Development and Neuroscience","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"148","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.127Z","metadata":{"doi":"10.25504/FAIRsharing.fe4pja","name":"Gene Prediction File Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format9","identifier":148,"description":"Gene Prediction File Format (genePred) is a table format commonly used for gene prediction tracks in the Genome Browser. Variations of genePred include standard format, extended format and a format which includes RefSeq genes with gene names.","abbreviation":"genePred","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000233","bsg-s000233"],"name":"FAIRsharing record for: Gene Prediction File Format","abbreviation":"genePred","url":"https://fairsharing.org/10.25504/FAIRsharing.fe4pja","doi":"10.25504/FAIRsharing.fe4pja","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Prediction File Format (genePred) is a table format commonly used for gene prediction tracks in the Genome Browser. Variations of genePred include standard format, extended format and a format which includes RefSeq genes with gene names.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Computational biological predictions","Deoxyribonucleic acid","Sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5164,"fairsharing_record_id":148,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:17.450Z","updated_at":"2021-09-30T09:27:17.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"149","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T20:40:15.000Z","updated_at":"2022-07-20T09:26:59.101Z","metadata":{"doi":"10.25504/FAIRsharing.546bcc","name":"Namespaces in XML","status":"ready","contacts":[{"contact_name":"Tim Bray","contact_email":"tbray@textuality.com"}],"homepage":"https://www.w3.org/TR/xml-names/","identifier":149,"description":"XML Namespaces is a W3C standard that allows combining markup elements and attributes from different XML-based markup languages. It provides a simple method for qualifying element and attribute names used in Extensible Markup Language documents by associating them with namespaces identified by URI references.","abbreviation":"XMLNS","support_links":[{"url":"xml-names-editor@w3.org","name":"Working Group Contact","type":"Support email"}],"year_creation":2004},"legacy_ids":["bsg-001285","bsg-s001285"],"name":"FAIRsharing record for: Namespaces in XML","abbreviation":"XMLNS","url":"https://fairsharing.org/10.25504/FAIRsharing.546bcc","doi":"10.25504/FAIRsharing.546bcc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Namespaces is a W3C standard that allows combining markup elements and attributes from different XML-based markup languages. It provides a simple method for qualifying element and attribute names used in Extensible Markup Language documents by associating them with namespaces identified by URI references.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":812,"relation":"undefined"}],"grants":[{"id":5165,"fairsharing_record_id":149,"organisation_id":3211,"relation":"maintains","created_at":"2021-09-30T09:27:17.492Z","updated_at":"2021-09-30T09:27:17.492Z","grant_id":null,"is_lead":true,"saved_state":{"id":3211,"name":"W3C XML Core Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"183","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-27T12:07:01.530Z","metadata":{"doi":"10.25504/FAIRsharing.zr52g5","name":"Crystallographic Information Framework","status":"ready","contacts":[{"contact_name":"John C Bollinger","contact_email":"john.bollinger@stjude.org"}],"homepage":"https://www.iucr.org/resources/cif","citations":[],"identifier":183,"description":"The acronym CIF is used both for the Crystallographic Information File, the data exchange standard file format of Hall, Allen \u0026 Brown (1991) (see Documentation), and for the Crystallographic Information Framework, a broader system of exchange protocols based on data dictionaries and relational rules expressible in different machine-readable manifestations, including, but not restricted to, Crystallographic Information File and XML.","abbreviation":"CIF","support_links":[{"url":"https://www.iucr.org/resources/cif/documentation","name":"CIF General Documentation","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-000222","bsg-s000222"],"name":"FAIRsharing record for: Crystallographic Information Framework","abbreviation":"CIF","url":"https://fairsharing.org/10.25504/FAIRsharing.zr52g5","doi":"10.25504/FAIRsharing.zr52g5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The acronym CIF is used both for the Crystallographic Information File, the data exchange standard file format of Hall, Allen \u0026 Brown (1991) (see Documentation), and for the Crystallographic Information Framework, a broader system of exchange protocols based on data dictionaries and relational rules expressible in different machine-readable manifestations, including, but not restricted to, Crystallographic Information File and XML.","linked_records":[],"linking_records":[{"linking_record_name":"Semantic Assets for Materials Science","linking_record_id":3512,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11309},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11718}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["X-ray crystallography assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":614,"pubmed_id":null,"title":"The crystallographic information file (CIF): a new standard archive file for crystallography","year":1991,"url":"http://doi.org/10.1107/S010876739101067X","authors":"Hall, S. R. and Allen, F. H. and Brown, I. D.","journal":"Acta Crystallographica Section A","doi":"10.1107/S010876739101067X","created_at":"2021-09-30T08:23:27.485Z","updated_at":"2021-09-30T08:23:27.485Z"},{"id":1687,"pubmed_id":null,"title":"Specification of the Crystallographic Information File format, version 2.0","year":2016,"url":"http://doi.org/10.1107/S1600576715021871","authors":"Bernstein HJ, BollingerJC, Brown ID, Gražulis S, Hester JR, McMahon B, Spadaccini N, Westbrookh JD and Westripi SP","journal":"Journal of Applied Crystallography","doi":"10.1107/S1600576715021871","created_at":"2021-09-30T08:25:29.004Z","updated_at":"2021-09-30T08:25:29.004Z"}],"licence_links":[],"grants":[{"id":5234,"fairsharing_record_id":183,"organisation_id":1534,"relation":"maintains","created_at":"2021-09-30T09:27:19.731Z","updated_at":"2024-02-27T11:59:18.180Z","grant_id":null,"is_lead":true,"saved_state":{"id":1534,"name":"International Union of Crystallography (IUCr), Chester, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcThEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--28c4ecfcd35124b5d357c137259db189d48396ce/CIF_v2.5.jpg?disposition=inline","exhaustive_licences":false}},{"id":"184","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:40.000Z","updated_at":"2022-07-20T12:25:47.361Z","metadata":{"doi":"10.25504/FAIRsharing.NHCOKK","name":"FAIR Maturity Indicator Gen2-MI-F1A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F1A.md","identifier":184,"description":"The FAIR Maturity Indicator Gen2-MI-F1A measures whether the GUID matches (regexp) a GUID scheme recognized as being globally unique in the FAIRSharing registry. The uniqueness of an identifier is a necessary condition to unambiguously refer that resource, and that resource alone. Otherwise, an identifier shared by multiple resources will confound efforts to describe that resource, or to use the identifier to retrieve it.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001372","bsg-s001372"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F1A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.NHCOKK","doi":"10.25504/FAIRsharing.NHCOKK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F1A measures whether the GUID matches (regexp) a GUID scheme recognized as being globally unique in the FAIRSharing registry. The uniqueness of an identifier is a necessary condition to unambiguously refer that resource, and that resource alone. Otherwise, an identifier shared by multiple resources will confound efforts to describe that resource, or to use the identifier to retrieve it.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13170},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13212},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13231},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13261},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13276},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20173}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1483,"relation":"undefined"}],"grants":[{"id":5235,"fairsharing_record_id":184,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:19.820Z","updated_at":"2021-09-30T09:27:19.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5238,"fairsharing_record_id":184,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:19.918Z","updated_at":"2021-09-30T09:27:19.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5236,"fairsharing_record_id":184,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:19.857Z","updated_at":"2021-09-30T09:27:19.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5237,"fairsharing_record_id":184,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:19.889Z","updated_at":"2021-09-30T09:27:19.889Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"185","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.818Z","metadata":{"doi":"10.25504/FAIRsharing.qrpwmw","name":"Basic Vertebrate Anatomy","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1056","identifier":185,"description":"There is no information currently available for Basic Vertebrate Anatomy ontology.","abbreviation":null,"deprecation_date":"2019-07-16","deprecation_reason":"No information can be found about this ontology."},"legacy_ids":["bsg-002630","bsg-s002630"],"name":"FAIRsharing record for: Basic Vertebrate Anatomy","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qrpwmw","doi":"10.25504/FAIRsharing.qrpwmw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: There is no information currently available for Basic Vertebrate Anatomy ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"186","type":"fairsharing_records","attributes":{"created_at":"2019-08-28T06:48:06.000Z","updated_at":"2024-01-28T15:58:31.609Z","metadata":{"doi":"10.25504/FAIRsharing.PB6595","name":"Wikidata Identifier","status":"ready","contacts":[],"homepage":"https://www.wikidata.org/wiki/Q43649390","citations":[],"identifier":186,"description":"Wikidata is a document-oriented database, focused on items, which represent any kind of topic, concept, or object. Each item is allocated a unique, persistent identifier (a QID), which is a positive integer prefixed with the upper-case letter Q.","abbreviation":"QID","support_links":[{"url":"https://en.wikipedia.org/wiki/Wikidata#Concept","name":"Additional information about QID","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioregistry.io/registry/wikidata","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/wikidata","name":"identifiers.org","portal":"Other"}],"regular_expression":"^(Q|P)\\d+$"},"legacy_ids":["bsg-001392","bsg-s001392"],"name":"FAIRsharing record for: Wikidata Identifier","abbreviation":"QID","url":"https://fairsharing.org/10.25504/FAIRsharing.PB6595","doi":"10.25504/FAIRsharing.PB6595","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Wikidata is a document-oriented database, focused on items, which represent any kind of topic, concept, or object. Each item is allocated a unique, persistent identifier (a QID), which is a positive integer prefixed with the upper-case letter Q.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5239,"fairsharing_record_id":186,"organisation_id":3233,"relation":"maintains","created_at":"2021-09-30T09:27:19.948Z","updated_at":"2024-01-28T14:48:43.070Z","grant_id":null,"is_lead":true,"saved_state":{"id":3233,"name":"Wikimedia Foundation","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"137","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:19.958Z","metadata":{"doi":"10.25504/FAIRsharing.54814g","name":"MDL reaction Format","status":"deprecated","contacts":[],"homepage":"http://openbabel.org/wiki/Chemical_Kinetics_Formats#RXN_Format","citations":[],"identifier":137,"description":"MDL reaction Format is used to describe the kinetics of chemical reactions and the chemical structure of the reactants and products.","abbreviation":"RXN","deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000260","bsg-s000260"],"name":"FAIRsharing record for: MDL reaction Format","abbreviation":"RXN","url":"https://fairsharing.org/10.25504/FAIRsharing.54814g","doi":"10.25504/FAIRsharing.54814g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MDL reaction Format is used to describe the kinetics of chemical reactions and the chemical structure of the reactants and products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Physical Chemistry"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Pathway model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5142,"fairsharing_record_id":137,"organisation_id":1809,"relation":"maintains","created_at":"2021-09-30T09:27:16.621Z","updated_at":"2021-09-30T09:27:16.621Z","grant_id":null,"is_lead":false,"saved_state":{"id":1809,"name":"MDL Information Systems","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"138","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T09:09:01.743Z","metadata":{"doi":"10.25504/FAIRsharing.k97xzh","name":"Sequence Alignment Map","status":"ready","contacts":[{"contact_name":"Richard Durbin","contact_email":"rd@sanger.ac.uk","contact_orcid":"0000-0002-9130-1006"}],"homepage":"https://github.com/samtools/samtools","identifier":138,"description":"The Sequence Alignment/Map (SAM) format is a TAB-delimited text format consisting of a header section, which is optional, and an alignment section.","abbreviation":"SAM","support_links":[{"url":"https://sourceforge.net/p/samtools/mailman/","type":"Mailing list"}],"year_creation":2008},"legacy_ids":["bsg-000261","bsg-s000261"],"name":"FAIRsharing record for: Sequence Alignment Map","abbreviation":"SAM","url":"https://fairsharing.org/10.25504/FAIRsharing.k97xzh","doi":"10.25504/FAIRsharing.k97xzh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sequence Alignment/Map (SAM) format is a TAB-delimited text format consisting of a header section, which is optional, and an alignment section.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11164},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12003},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16918}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","United Kingdom","United States"],"publications":[{"id":1712,"pubmed_id":19505943,"title":"The Sequence Alignment/Map format and SAMtools.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp352","authors":"Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R; 1000 Genome Project Data Processing Subgroup","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp352","created_at":"2021-09-30T08:25:31.829Z","updated_at":"2021-09-30T08:25:31.829Z"}],"licence_links":[],"grants":[{"id":5144,"fairsharing_record_id":138,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:16.696Z","updated_at":"2021-09-30T09:30:18.478Z","grant_id":648,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U54HG002750","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5143,"fairsharing_record_id":138,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:16.657Z","updated_at":"2021-09-30T09:31:56.735Z","grant_id":1399,"is_lead":false,"saved_state":{"id":2854,"name":"Wellcome","grant":"077192/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5146,"fairsharing_record_id":138,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:16.766Z","updated_at":"2021-09-30T09:27:16.766Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5147,"fairsharing_record_id":138,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:16.808Z","updated_at":"2021-09-30T09:27:16.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12024,"fairsharing_record_id":138,"organisation_id":908,"relation":"maintains","created_at":"2024-07-04T09:05:16.971Z","updated_at":"2024-07-04T09:05:16.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"139","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.721Z","metadata":{"doi":"10.25504/FAIRsharing.dpgp6t","name":"Stockholm Multiple Alignment Format","status":"ready","contacts":[{"contact_name":"Erik Sonnhammers","contact_email":"Erik.Sonnhammer@scilifelab.se"}],"homepage":"http://sonnhammer.sbc.su.se/Stockholm.html","identifier":139,"description":"The \"Stockholm\" format is a system for marking up features in a multiple alignment. These mark-up annotations are preceded by a 'magic' label, of which there are four types. The Stockholm format is used by HMMER, Pfam, and Belvu.","abbreviation":null,"support_links":[{"url":"https://en.wikipedia.org/wiki/Stockholm_format","type":"Wikipedia"},{"url":"http://scikit-bio.org/docs/0.5.0/generated/skbio.io.format.stockholm.html","type":"Help documentation"}]},"legacy_ids":["bsg-000265","bsg-s000265"],"name":"FAIRsharing record for: Stockholm Multiple Alignment Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.dpgp6t","doi":"10.25504/FAIRsharing.dpgp6t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The \"Stockholm\" format is a system for marking up features in a multiple alignment. These mark-up annotations are preceded by a 'magic' label, of which there are four types. The Stockholm format is used by HMMER, Pfam, and Belvu.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12108}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"150","type":"fairsharing_records","attributes":{"created_at":"2018-05-21T13:10:10.000Z","updated_at":"2024-05-02T14:37:47.271Z","metadata":{"doi":"10.25504/FAIRsharing.8f9bbb","name":"JavaScript Object Notation for Linking Data","status":"ready","contacts":[{"contact_name":"JSON for Linking Data W3C Community Group","contact_email":"public-linked-json@w3.org"}],"homepage":"https://json-ld.org/spec/latest/json-ld/","citations":[],"identifier":150,"description":"JSON-LD is a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines. JSON-LD is a concrete RDF syntax. A JSON-LD document is both an RDF document and a JSON document and correspondingly represents an instance of an RDF data model. However, JSON-LD also extends the RDF data model to optionally allow JSON-LD to serialize generalized RDF Datasets.","abbreviation":"JSON-LD","support_links":[{"url":"https://webchat.freenode.net/?channels=#json-ld","name":"JSON-LD IRC","type":"Forum"},{"url":"https://json-ld.org/learn.html","name":"Learn about JSON-LD","type":"Help documentation"},{"url":"https://github.com/json-ld/json-ld.org","name":"GitHub Repository","type":"Github"},{"url":"https://json-ld.org/","name":"JSON-LD General Information","type":"Help documentation"},{"url":"https://en.m.wikipedia.org/wiki/JSON-LD","name":"JSON-LD Wiki","type":"Wikipedia"}],"year_creation":2010,"associated_tools":[{"url":"https://json-ld.org/playground/","name":"JSON-LD Playground"}],"cross_references":[{"url":"http://edamontology.org/format_3749","name":"EDAM","portal":"BioPortal"}]},"legacy_ids":["bsg-001214","bsg-s001214"],"name":"FAIRsharing record for: JavaScript Object Notation for Linking Data","abbreviation":"JSON-LD","url":"https://fairsharing.org/10.25504/FAIRsharing.8f9bbb","doi":"10.25504/FAIRsharing.8f9bbb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JSON-LD is a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines. JSON-LD is a concrete RDF syntax. A JSON-LD document is both an RDF document and a JSON document and correspondingly represents an instance of an RDF data model. However, JSON-LD also extends the RDF data model to optionally allow JSON-LD to serialize generalized RDF Datasets.","linked_records":[],"linking_records":[{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13282}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Computer Science","Omics"],"domains":["Resource metadata","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Software and Document Notice and License","licence_id":851,"licence_url":"http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document","link_id":1075,"relation":"undefined"}],"grants":[{"id":5166,"fairsharing_record_id":150,"organisation_id":1613,"relation":"maintains","created_at":"2021-09-30T09:27:17.529Z","updated_at":"2024-03-28T13:33:33.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":1613,"name":"JSON for Linking Data W3C Community Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"151","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.383Z","metadata":{"doi":"10.25504/FAIRsharing.6ttpnv","name":"Maize gross anatomy","status":"uncertain","contacts":[{"contact_name":"Leszek Vincent","contact_email":"Leszek@missouri.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1050","identifier":151,"description":"A structured controlled vocabulary for the anatomy of Zea mays.","abbreviation":"ZEA","support_links":[{"url":"https://wiki.nci.nih.gov/display/VKC/Maize+Gross+Anatomy+Vocabulary+FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wiki.nci.nih.gov/display/VKC/Maize+Gross+Anatomy+Vocabulary+Discussion","type":"Forum"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZEA","name":"ZEA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/zea.html","name":"zea","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002587","bsg-s002587"],"name":"FAIRsharing record for: Maize gross anatomy","abbreviation":"ZEA","url":"https://fairsharing.org/10.25504/FAIRsharing.6ttpnv","doi":"10.25504/FAIRsharing.6ttpnv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the anatomy of Zea mays.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Zea mays"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"360","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T13:43:06.000Z","updated_at":"2023-09-29T11:54:56.617Z","metadata":{"name":"ISO 19115:2003 Geographic information -- Metadata","status":"deprecated","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/26020.html","identifier":360,"description":"ISO 19115:2003 defines the schema required for describing geographic information and services. It provides information about the identification, the extent, the quality, the spatial and temporal schema, spatial reference, and distribution of digital geographic data.","abbreviation":"ISO 19115:2003","year_creation":2003,"deprecation_date":"2014-04-01","deprecation_reason":"This standard has been revised and is superceded by ISO 19115-1:2014. However, many other resources still reference this particular version."},"legacy_ids":["bsg-001315","bsg-s001315"],"name":"FAIRsharing record for: ISO 19115:2003 Geographic information -- Metadata","abbreviation":"ISO 19115:2003","url":"https://fairsharing.org/fairsharing_records/360","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115:2003 defines the schema required for describing geographic information and services. It provides information about the identification, the extent, the quality, the spatial and temporal schema, spatial reference, and distribution of digital geographic data.","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13329},{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13361}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":941,"relation":"undefined"}],"grants":[{"id":10912,"fairsharing_record_id":360,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:05:36.209Z","updated_at":"2023-09-27T14:05:36.209Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":5529,"fairsharing_record_id":360,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:30.465Z","updated_at":"2021-09-30T09:27:30.465Z","grant_id":null,"is_lead":true,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"361","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T12:16:25.921Z","metadata":{"doi":"10.25504/FAIRsharing.w4tncg","name":"Name Reaction Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"batchelorc@rsc.org"}],"homepage":"https://github.com/rsc-ontologies/rxno/","citations":[],"identifier":361,"description":"The Name Reaction Ontology (RXNO) connects organic name reactions such as the Diels-Alder cyclization and the Cannizzaro reaction to their roles in organic synthesis.","abbreviation":"RXNO","support_links":[{"url":"https://github.com/rsc-ontologies/rxno/issues","name":"Issue Tracker","type":"Contact form"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RXNO","name":"BioPortal: RXNO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/rxno","name":"OLS: rxno","portal":"OLS"},{"url":"https://obofoundry.org/ontology/rxno.html","name":"rxno","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001017","bsg-s001017"],"name":"FAIRsharing record for: Name Reaction Ontology","abbreviation":"RXNO","url":"https://fairsharing.org/10.25504/FAIRsharing.w4tncg","doi":"10.25504/FAIRsharing.w4tncg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Name Reaction Ontology (RXNO) connects organic name reactions such as the Diels-Alder cyclization and the Cannizzaro reaction to their roles in organic synthesis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Chemistry"],"domains":["Reaction data"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2536,"relation":"applies_to_content"}],"grants":[{"id":8645,"fairsharing_record_id":361,"organisation_id":2467,"relation":"maintains","created_at":"2021-12-13T21:00:19.633Z","updated_at":"2021-12-13T21:00:19.633Z","grant_id":null,"is_lead":true,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"362","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-01-18T09:30:10.532Z","metadata":{"doi":"10.25504/FAIRsharing.3kfn3j","name":"Allen Brain Atlas Adult Mouse Brain Ontology","status":"deprecated","contacts":[],"homepage":"http://www.brain-map.org","citations":[],"identifier":362,"description":"The Adult Mouse Brain ontology is used within the Allen Brain Map Project to describe and annotate data from the project.","abbreviation":"ABA-AMB","support_links":[{"url":"https://secure2.convio.net/allins/site/SPageServer/?pagename=send_message_ai","name":"General Contact Form","type":"Contact form"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ABA-AMB","name":"ABA-AMB","portal":"BioPortal"}],"deprecation_date":"2022-01-17","deprecation_reason":"This resource is an integral (rather than independent) part of the larger Allen Brain Map Project, and therefore has been deprecated. Please refer to the Allen Brain Map Data Catalog record for more information."},"legacy_ids":["bsg-001018","bsg-s001018"],"name":"FAIRsharing record for: Allen Brain Atlas Adult Mouse Brain Ontology","abbreviation":"ABA-AMB","url":"https://fairsharing.org/10.25504/FAIRsharing.3kfn3j","doi":"10.25504/FAIRsharing.3kfn3j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adult Mouse Brain ontology is used within the Allen Brain Map Project to describe and annotate data from the project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Allen Brain Map Terms of Use","licence_id":895,"licence_url":"https://alleninstitute.org/legal/terms-use/","link_id":2541,"relation":"applies_to_content"},{"licence_name":"Allen Brain Map Citation Policy","licence_id":896,"licence_url":"https://alleninstitute.org/legal/citation-policy/","link_id":2542,"relation":"applies_to_content"}],"grants":[{"id":8648,"fairsharing_record_id":362,"organisation_id":60,"relation":"maintains","created_at":"2021-12-15T10:13:48.063Z","updated_at":"2021-12-15T10:13:48.063Z","grant_id":null,"is_lead":true,"saved_state":{"id":60,"name":"Allen Institute for Brain Science, Seattle, WA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"363","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:14:34.325Z","metadata":{"doi":"10.25504/FAIRsharing.zmx7nn","name":"Ontology of Genes and Genomes","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://bitbucket.org/hegroup/ogg","identifier":363,"description":"OGG is a biological ontology in the area of genes and genomes. OGG uses the Basic Formal Ontology (BFO) as its upper level ontology. This OGG document contains the genes and genomes of a list of selected organisms. Each gene in OGG has over 10 annotation items, includes gene-associated Gene Ontology (GO) and PubMed article information. OGG has represented genes in human, two viruses, and four bacteria. Additionally, 7 OGG subsets are developed to represent genes and genomes of 7 model systems including mouse, fruit fly, zebrafish, yeast, A. thaliana, C. elegans, and P. falciparum.","abbreviation":"OGG","support_links":[{"url":"https://bitbucket.org/hegroup/ogg/issues/","name":"Issue Tracker","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGG","name":"OGG","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogg.html","name":"ogg","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000919","bsg-s000919"],"name":"FAIRsharing record for: Ontology of Genes and Genomes","abbreviation":"OGG","url":"https://fairsharing.org/10.25504/FAIRsharing.zmx7nn","doi":"10.25504/FAIRsharing.zmx7nn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OGG is a biological ontology in the area of genes and genomes. OGG uses the Basic Formal Ontology (BFO) as its upper level ontology. This OGG document contains the genes and genomes of a list of selected organisms. Each gene in OGG has over 10 annotation items, includes gene-associated Gene Ontology (GO) and PubMed article information. OGG has represented genes in human, two viruses, and four bacteria. Additionally, 7 OGG subsets are developed to represent genes and genomes of 7 model systems including mouse, fruit fly, zebrafish, yeast, A. thaliana, C. elegans, and P. falciparum.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biology"],"domains":["Gene name","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":747,"pubmed_id":null,"title":"OGG: a biological ontology for representing genes and genomes in specific organisms","year":2014,"url":"https://www.semanticscholar.org/paper/OGG%3A-a-Biological-Ontology-for-Representing-Genes-He-Liu/6bc6c5c0df6e64c0941a5d4d064724ffae359d14","authors":"He Y, Liu Y, Zhao B.","journal":"Proceedings of the 5th International Conference on Biomedical Ontologies (ICBO), Houston, Texas, USA. Pages 13-20","doi":null,"created_at":"2021-09-30T08:23:42.261Z","updated_at":"2021-09-30T11:28:30.740Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":128,"relation":"undefined"}],"grants":[{"id":5531,"fairsharing_record_id":363,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:30.548Z","updated_at":"2021-09-30T09:30:30.662Z","grant_id":741,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5530,"fairsharing_record_id":363,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:30.505Z","updated_at":"2021-09-30T09:27:30.505Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"364","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T19:52:37.000Z","updated_at":"2022-07-20T12:38:07.799Z","metadata":{"doi":"10.25504/FAIRsharing.39dca5","name":"Guidelines for Multilingual Thesauri","status":"ready","contacts":[],"homepage":"https://www.ifla.org/publications/ifla-professional-reports-115","citations":[],"identifier":364,"description":"The Guidelines for Multilingual Thesauri was established in 2009 and is maintained by the Subject Analysis and Access Section within the IFLA. The purpose of these document guidelines is to describe the structure and the principle of building multilingual thesauri.","abbreviation":null,"support_links":[{"url":"https://www.ifla.org/contact-us/","name":"Contact us","type":"Contact form"}],"year_creation":2009},"legacy_ids":["bsg-001254","bsg-s001254"],"name":"FAIRsharing record for: Guidelines for Multilingual Thesauri","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.39dca5","doi":"10.25504/FAIRsharing.39dca5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Guidelines for Multilingual Thesauri was established in 2009 and is maintained by the Subject Analysis and Access Section within the IFLA. The purpose of these document guidelines is to describe the structure and the principle of building multilingual thesauri.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Subject Agnostic","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5533,"fairsharing_record_id":364,"organisation_id":1489,"relation":"maintains","created_at":"2021-09-30T09:27:30.623Z","updated_at":"2021-09-30T09:27:30.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":1489,"name":"International Federation of Library Associations and Institutions (IFLA), The Hague, The Netherlands","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5532,"fairsharing_record_id":364,"organisation_id":2664,"relation":"maintains","created_at":"2021-09-30T09:27:30.585Z","updated_at":"2021-09-30T09:27:30.585Z","grant_id":null,"is_lead":true,"saved_state":{"id":2664,"name":"Subject Analysis and Access Group, International Federation of Library Associations and Institutions (IFLA), The Hague, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"365","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T18:36:06.000Z","updated_at":"2023-05-05T09:05:43.130Z","metadata":{"doi":"10.25504/FAIRsharing.76c06d","name":"Darwin Core Geospatial Extension","status":"deprecated","contacts":[{"contact_name":" Markus Döring","contact_email":"m.doering@mac.com","contact_orcid":"0000-0001-7757-1889"}],"homepage":"https://github.com/tdwg/wiki-archive/blob/master/twiki/data/DarwinCore/GeospatialExtension.txt","citations":[],"identifier":365,"description":"The Geospatial extension of the Darwin core.","abbreviation":null,"deprecation_date":"2023-05-03","deprecation_reason":"While this resource is still accessible, the specification page also notes that the wiki it is a part of is deprecated, and that the listed homepage is for historical purposes only. We cannot find a more recent specification document on the Darwin Core website or anywhere else, and therefore consider this resource deprecated. Please get in touch with us if you have any information on the current status of this resource."},"legacy_ids":["bsg-001316","bsg-s001316"],"name":"FAIRsharing record for: Darwin Core Geospatial Extension","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.76c06d","doi":"10.25504/FAIRsharing.76c06d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geospatial extension of the Darwin core.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Taxonomic classification","Biological sample annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"366","type":"fairsharing_records","attributes":{"created_at":"2021-01-10T16:52:07.000Z","updated_at":"2022-03-17T11:09:36.421Z","metadata":{"name":"Collection Descriptions","status":"in_development","contacts":[{"contact_name":"Deborah Paul","contact_email":"dpaul@fsu.edu"}],"homepage":"https://github.com/tdwg/cd","identifier":366,"description":"This Collection Descriptions (CD) is a metadata standard being developed by the Collection Descriptions Interest Group, which evolved from the work of the Natural Collection Descriptions (NCD) group. CD is a developing standard for describing entire collections of natural history materials. Examples include collections of specimens, observation data, visual resources, photographs, and materials from historical voyages. Collection metadata, access and usage of the collection, and where to get more detailed information is part of this standard. CD aims to describe the characteristics of groups of objects that are already represented individually under other current and emerging TDWG standards such as Darwin Core (specimens, observations) or Audubon Core (images, field notebooks). This limitation is imposed so that the scope of CD can be narrowly defined to the areas in which the TDWG organization has already built up the existing body of knowledge for what constitutes useful descriptive elements.","abbreviation":null,"support_links":[{"url":"https://github.com/tdwg/cd/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-001573","bsg-s001573"],"name":"FAIRsharing record for: Collection Descriptions","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/366","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This Collection Descriptions (CD) is a metadata standard being developed by the Collection Descriptions Interest Group, which evolved from the work of the Natural Collection Descriptions (NCD) group. CD is a developing standard for describing entire collections of natural history materials. Examples include collections of specimens, observation data, visual resources, photographs, and materials from historical voyages. Collection metadata, access and usage of the collection, and where to get more detailed information is part of this standard. CD aims to describe the characteristics of groups of objects that are already represented individually under other current and emerging TDWG standards such as Darwin Core (specimens, observations) or Audubon Core (images, field notebooks). This limitation is imposed so that the scope of CD can be narrowly defined to the areas in which the TDWG organization has already built up the existing body of knowledge for what constitutes useful descriptive elements.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12285}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Earth Science","Life Science","Natural History"],"domains":["Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":841,"relation":"undefined"}],"grants":[{"id":5534,"fairsharing_record_id":366,"organisation_id":553,"relation":"maintains","created_at":"2021-09-30T09:27:30.665Z","updated_at":"2021-09-30T09:27:30.665Z","grant_id":null,"is_lead":true,"saved_state":{"id":553,"name":"Collection Descriptions (CD) Interest Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"367","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2021-11-24T13:20:13.968Z","metadata":{"doi":"10.25504/FAIRsharing.hw3bh2","name":"OWL-Time","status":"ready","contacts":[{"contact_name":"Simon Cox, Chris Little","contact_email":"simon.cox@csiro.au","contact_orcid":"0000-0002-3884-3420"}],"homepage":"https://www.w3.org/TR/owl-time/","identifier":367,"description":"OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars.","abbreviation":"TIME","support_links":[{"url":"https://www.w3.org/2017/sdwig/","name":"Spatial Data on the Web Interest Group","type":"Forum"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TIME","name":"TIME","portal":"BioPortal"}]},"legacy_ids":["bsg-000818","bsg-s000818"],"name":"FAIRsharing record for: OWL-Time","abbreviation":"TIME","url":"https://fairsharing.org/10.25504/FAIRsharing.hw3bh2","doi":"10.25504/FAIRsharing.hw3bh2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Resource metadata","Data model"],"taxonomies":["All"],"user_defined_tags":["Data coordination","Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":68,"relation":"undefined"}],"grants":[{"id":5535,"fairsharing_record_id":367,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:30.707Z","updated_at":"2021-09-30T09:27:30.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"369","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T15:00:47.000Z","updated_at":"2022-08-01T15:31:54.114Z","metadata":{"doi":"10.25504/FAIRsharing.A29ckB","name":"Biodiversity Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://skosmos.loterre.fr/BLH/en/","citations":[],"identifier":369,"description":"This bilingual thesaurus organizes the key concepts of biodiversity sciences, in their basic and applied ecological components. It uses polyhierarchy and includes 818 reciprocal associative relationships. The 1654 French and English descriptors (designating 827 concepts) are enriched with a large number of synonyms (1860) and hidden variants (7020) in both languages. Concepts are grouped into 82 collections, by semantic categories, thematic fields and EBV classes (Essential Biodiversity Variables). Definitions are given with their sources. This resource is aligned with the international thesauri AGROVOC, GEMET (GEneral Multilingual Environmental Thesaurus) and EnvThes (Environmental Thesaurus), as well as with the ontology ENVO (Environment Ontology).","abbreviation":"Biodiversity","year_creation":2015},"legacy_ids":["bsg-001420","bsg-s001420"],"name":"FAIRsharing record for: Biodiversity Thesaurus","abbreviation":"Biodiversity","url":"https://fairsharing.org/10.25504/FAIRsharing.A29ckB","doi":"10.25504/FAIRsharing.A29ckB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This bilingual thesaurus organizes the key concepts of biodiversity sciences, in their basic and applied ecological components. It uses polyhierarchy and includes 818 reciprocal associative relationships. The 1654 French and English descriptors (designating 827 concepts) are enriched with a large number of synonyms (1860) and hidden variants (7020) in both languages. Concepts are grouped into 82 collections, by semantic categories, thematic fields and EBV classes (Essential Biodiversity Variables). Definitions are given with their sources. This resource is aligned with the international thesauri AGROVOC, GEMET (GEneral Multilingual Environmental Thesaurus) and EnvThes (Environmental Thesaurus), as well as with the ontology ENVO (Environment Ontology).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11306}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agroecology","Environmental Science","Ecology","Biodiversity","Ecosystem Science"],"domains":["Climate","Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1422,"pubmed_id":null,"title":"Semantics of Biodiversity: from Thesaurus to Linked Open Data (LOD)","year":2020,"url":"https://hal.archives-ouvertes.fr/hal-02907484","authors":"Dominique Vachez, Isabelle Gomez, Eric Garnier","journal":"*","doi":null,"created_at":"2021-09-30T08:24:58.943Z","updated_at":"2021-09-30T08:24:58.943Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":175,"relation":"undefined"}],"grants":[{"id":5536,"fairsharing_record_id":369,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:30.748Z","updated_at":"2021-09-30T09:27:30.748Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5537,"fairsharing_record_id":369,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:30.786Z","updated_at":"2021-09-30T09:27:30.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"351","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T19:11:15.000Z","updated_at":"2022-07-20T10:26:52.333Z","metadata":{"doi":"10.25504/FAIRsharing.921056","name":"Metadata Encoding and Transmission Standard","status":"ready","contacts":[],"homepage":"http://www.loc.gov/standards/mets/","citations":[],"identifier":351,"description":"The METS schema is a standard for encoding descriptive, administrative, and structural metadata regarding objects within a digital library, expressed using the XML schema language of the World Wide Web Consortium. The standard is maintained in the Network Development and MARC Standards Office of the Library of Congress, and is being developed as an initiative of the Digital Library Federation.","abbreviation":"METS","support_links":[{"url":"http://www.loc.gov/standards/mets/news120110.html","name":"Blog","type":"Blog/News"},{"url":"http://www.loc.gov/standards/mets/mets-schemadocs.html","name":"documentation","type":"Help documentation"},{"url":"https://twitter.com/mets_lib","name":"Twitter","type":"Twitter"},{"url":"https://github.com/mets/METS-board/wiki","name":"Wiki Pages","type":"Help documentation"},{"url":"https://github.com/mets","name":"GitHub Project","type":"Github"}],"year_creation":2001,"associated_tools":[{"url":"https://www.loc.gov/standards/mets/mets-tools.html","name":"Tools and Utilities"}]},"legacy_ids":["bsg-001252","bsg-s001252"],"name":"FAIRsharing record for: Metadata Encoding and Transmission Standard","abbreviation":"METS","url":"https://fairsharing.org/10.25504/FAIRsharing.921056","doi":"10.25504/FAIRsharing.921056","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The METS schema is a standard for encoding descriptive, administrative, and structural metadata regarding objects within a digital library, expressed using the XML schema language of the World Wide Web Consortium. The standard is maintained in the Network Development and MARC Standards Office of the Library of Congress, and is being developed as an initiative of the Digital Library Federation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States","Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":286,"relation":"undefined"}],"grants":[{"id":5511,"fairsharing_record_id":351,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:27:29.915Z","updated_at":"2022-06-30T11:17:51.036Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaTBCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--05af8f2b4e546303019db3dd48db0c8a5dc3ce6e/mets.png?disposition=inline","exhaustive_licences":false}},{"id":"353","type":"fairsharing_records","attributes":{"created_at":"2020-06-25T15:19:05.000Z","updated_at":"2022-07-20T12:46:37.845Z","metadata":{"doi":"10.25504/FAIRsharing.ple9HR","name":"Cochrane Core Vocabulary Ontology","status":"ready","contacts":[{"contact_name":"Chris Mavergames","contact_email":"cmavergames@cochrane.org"}],"homepage":"https://data.cochrane.org/ontologies/core/index-en.html","identifier":353,"description":"The Cochrane Core Vocabulary ontology describes the entities and concepts that exist in the domain of evidence-based healthcare. It is used for the construction of the Cochrane Linked Data Vocabulary containing some 400k terms including Interventions (Drugs, Procedures etc), Populations (Age, Sex, Condition), and Clinical outcomes. *Please note our web pages are currently under review*","abbreviation":null,"support_links":[{"url":"https://data.cochrane.org/ontologies/","name":"About the Cochrane Ontologies","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001500","bsg-s001500"],"name":"FAIRsharing record for: Cochrane Core Vocabulary Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ple9HR","doi":"10.25504/FAIRsharing.ple9HR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cochrane Core Vocabulary ontology describes the entities and concepts that exist in the domain of evidence-based healthcare. It is used for the construction of the Cochrane Linked Data Vocabulary containing some 400k terms including Interventions (Drugs, Procedures etc), Populations (Age, Sex, Condition), and Clinical outcomes. *Please note our web pages are currently under review*","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Clinical Studies","Health Science","Medical Informatics"],"domains":["Intervention design"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1423,"relation":"undefined"}],"grants":[{"id":5512,"fairsharing_record_id":353,"organisation_id":544,"relation":"maintains","created_at":"2021-09-30T09:27:29.940Z","updated_at":"2021-09-30T09:27:29.940Z","grant_id":null,"is_lead":true,"saved_state":{"id":544,"name":"Cochrane, London, United Kingdom","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"354","type":"fairsharing_records","attributes":{"created_at":"2019-02-07T12:37:03.000Z","updated_at":"2023-11-24T14:08:58.804Z","metadata":{"doi":"10.25504/FAIRsharing.rvvbCB","name":"Meta-omics Data and Collection Objects","status":"ready","contacts":[{"contact_name":"Dagmar Triebel","contact_email":"triebel@snsb.de"}],"homepage":"https://www.mod-co.net/wiki/Schema_Representations","citations":[{"doi":"10.1093/database/baz002","pubmed_id":30715273,"publication_id":2254}],"identifier":354,"description":"The MOD-CO schema is a conceptual and procedural meta-omics schema developed as part of the MOD-CO project. The schema is represented in a number of different formats. MOD-CO is a generic and comprehensive schema providing specifications useful for later software implementation and facilitating international standardisation processes. Certain implementations and use cases are provided. MOD-CO has a hierarchical organization of concepts describing collection samples, as well as products and data objects being generated during operational workflows. It is focused on object trait descriptions as well as on operational aspects and thereby may serve as a backbone for R\u0026D laboratory information management systems with functions of an electronic laboratory notebook.","abbreviation":"MOD-CO","support_links":[{"url":"https://www.mod-co.net/wiki/Implementations","name":"Implementations and Use Cases","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"https://diversityworkbench.net/Portal/DiversityDescriptions","name":"DiversityDescriptions 3"}]},"legacy_ids":["bsg-001358","bsg-s001358"],"name":"FAIRsharing record for: Meta-omics Data and Collection Objects","abbreviation":"MOD-CO","url":"https://fairsharing.org/10.25504/FAIRsharing.rvvbCB","doi":"10.25504/FAIRsharing.rvvbCB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MOD-CO schema is a conceptual and procedural meta-omics schema developed as part of the MOD-CO project. The schema is represented in a number of different formats. MOD-CO is a generic and comprehensive schema providing specifications useful for later software implementation and facilitating international standardisation processes. Certain implementations and use cases are provided. MOD-CO has a hierarchical organization of concepts describing collection samples, as well as products and data objects being generated during operational workflows. It is focused on object trait descriptions as well as on operational aspects and thereby may serve as a backbone for R\u0026D laboratory information management systems with functions of an electronic laboratory notebook.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12539}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Metagenomics","Proteomics","Molecular Microbiology","Metabolomics","Transcriptomics"],"domains":["Resource metadata","Experimental measurement","Marine metagenome","Protocol","Metagenome"],"taxonomies":["All"],"user_defined_tags":["Metatranscriptome"],"countries":["Germany"],"publications":[{"id":2254,"pubmed_id":30715273,"title":"Meta-omics data and collection objects (MOD-CO): a conceptual schema and data model for processing sample data in meta-omics research","year":2019,"url":"http://doi.org/10.1093/database/baz002","authors":"Gerhard Rambold, Pelin Yilmaz, Janno Harjes, Sabrina Klaster, Veronica Sanz, Anton Link, Frank Oliver Glöckner, Dagmar Triebel","journal":"Database: The Journal of Biological Databases \u0026 Curation","doi":"10.1093/database/baz002","created_at":"2021-09-30T08:26:34.106Z","updated_at":"2021-09-30T08:26:34.106Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2359,"relation":"undefined"}],"grants":[{"id":5516,"fairsharing_record_id":354,"organisation_id":1580,"relation":"maintains","created_at":"2021-09-30T09:27:30.040Z","updated_at":"2021-09-30T09:27:30.040Z","grant_id":null,"is_lead":false,"saved_state":{"id":1580,"name":"Jacobs University gGmbH, Bremen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5515,"fairsharing_record_id":354,"organisation_id":174,"relation":"maintains","created_at":"2021-09-30T09:27:30.016Z","updated_at":"2021-09-30T09:27:30.016Z","grant_id":null,"is_lead":false,"saved_state":{"id":174,"name":"Bavarian Natural History Collections, SNSB IT Center, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5517,"fairsharing_record_id":354,"organisation_id":3020,"relation":"maintains","created_at":"2021-09-30T09:27:30.066Z","updated_at":"2021-09-30T09:27:30.066Z","grant_id":null,"is_lead":true,"saved_state":{"id":3020,"name":"University of Bayreuth, Department of Mycology, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5518,"fairsharing_record_id":354,"organisation_id":1787,"relation":"maintains","created_at":"2021-09-30T09:27:30.091Z","updated_at":"2021-09-30T09:27:30.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":1787,"name":"Max Planck Institute for Marine Microbiology (MPIMM), Bremen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5513,"fairsharing_record_id":354,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:29.967Z","updated_at":"2021-09-30T09:28:58.827Z","grant_id":40,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"GL 553/6-1 - RA 731/16-1 - TR 290/8-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8009,"fairsharing_record_id":354,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:30:22.127Z","updated_at":"2021-09-30T09:30:22.177Z","grant_id":679,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"GL 553/5-2 - TR 290/7-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9361,"fairsharing_record_id":354,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.053Z","updated_at":"2022-04-11T12:07:33.072Z","grant_id":832,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"GBOL 01LI1501M","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"356","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:00.966Z","metadata":{"doi":"10.25504/FAIRsharing.p1sejz","name":"Taxonomic Rank Vocabulary","status":"ready","contacts":[{"contact_name":"Peter E. Midford","contact_email":"peteremidford@yahoo.com","contact_orcid":"0000-0001-6512-3296"}],"homepage":"https://wiki.phenoscape.org/wiki/Ontologies#Taxonomic_Rank_Vocabulary_.28TAXRANK.29","identifier":356,"description":"This is a vocabulary of taxonomic ranks intended to replace the sets of rank terms found in the Teleost Taxonomy Ontology, the OBO translation of the NCBI taxonomy and similar OBO taxonomy ontologies. It provides terms for taxonomic ranks drawn from both the NCBI taxonomy database and from a rank vocabulary developed for the TDWG biodiversity information standards group. Each term contains cross reference links to the resources that use the terms. Consistent with its intended use as a vocabulary, there is no relation specifying an ordering of the rank terms. Likewise, all terms are directly descended from the term 'taxonomic rank' (TAXRANK:0000000).","abbreviation":"TAXRANK","support_links":[{"url":"https://github.com/phenoscape/taxrank","name":"GitHub","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TAXRANK","name":"TAXRANK","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/taxrank.html","name":"taxrank","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002646","bsg-s002646"],"name":"FAIRsharing record for: Taxonomic Rank Vocabulary","abbreviation":"TAXRANK","url":"https://fairsharing.org/10.25504/FAIRsharing.p1sejz","doi":"10.25504/FAIRsharing.p1sejz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a vocabulary of taxonomic ranks intended to replace the sets of rank terms found in the Teleost Taxonomy Ontology, the OBO translation of the NCBI taxonomy and similar OBO taxonomy ontologies. It provides terms for taxonomic ranks drawn from both the NCBI taxonomy database and from a rank vocabulary developed for the TDWG biodiversity information standards group. Each term contains cross reference links to the resources that use the terms. Consistent with its intended use as a vocabulary, there is no relation specifying an ordering of the rank terms. Likewise, all terms are directly descended from the term 'taxonomic rank' (TAXRANK:0000000).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":133,"relation":"undefined"}],"grants":[{"id":5523,"fairsharing_record_id":356,"organisation_id":2318,"relation":"maintains","created_at":"2021-09-30T09:27:30.222Z","updated_at":"2021-09-30T09:27:30.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":2318,"name":"Phenoscape","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8321,"fairsharing_record_id":356,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:04.459Z","updated_at":"2021-09-30T09:32:04.525Z","grant_id":1456,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EF-0905606","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5524,"fairsharing_record_id":356,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:30.264Z","updated_at":"2021-09-30T09:30:00.002Z","grant_id":506,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062542","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8070,"fairsharing_record_id":356,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:45.499Z","updated_at":"2021-09-30T09:30:45.556Z","grant_id":855,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062404","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"375","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:34.494Z","metadata":{"doi":"10.25504/FAIRsharing.wgvr02","name":"Minimal Information for QTLs and Association Studies Tabular","status":"ready","contacts":[{"contact_name":"Jan Aerts","contact_email":"jan.aerts@bbsrc.ac.uk","contact_orcid":"0000-0002-6416-2717"}],"homepage":"http://miqas.sourceforge.net/specification/MIQAS_TAB/MIQAS_TAB_specification.html","identifier":375,"description":"The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file. This is the same approach as used for the exchange of sequences between NCBI, Ensembl and DDBJ at the early stages of the Human Genome Project.","abbreviation":"MIQAS-TAB","support_links":[{"url":"jreecy@iastate.edu","name":"Jim Reecy","type":"Support email"}],"year_creation":2008},"legacy_ids":["bsg-000083","bsg-s000083"],"name":"FAIRsharing record for: Minimal Information for QTLs and Association Studies Tabular","abbreviation":"MIQAS-TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.wgvr02","doi":"10.25504/FAIRsharing.wgvr02","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file. This is the same approach as used for the exchange of sequences between NCBI, Ensembl and DDBJ at the early stages of the Human Genome Project.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11922}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Real time polymerase chain reaction","Phenotype","Genome-wide association study","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5547,"fairsharing_record_id":375,"organisation_id":1849,"relation":"maintains","created_at":"2021-09-30T09:27:31.249Z","updated_at":"2021-09-30T09:27:31.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":1849,"name":"Minimum Information for QTLs and Association Studies (MIQAS) Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5548,"fairsharing_record_id":375,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:31.290Z","updated_at":"2021-09-30T09:27:31.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"376","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-03-17T08:27:05.300Z","metadata":{"doi":"10.25504/FAIRsharing.htq39f","name":"COMODI","status":"ready","contacts":[{"contact_name":"martin scharm","contact_email":"comodi-on-bioportal@binfalse.de"}],"homepage":"http://comodi.sems.uni-rostock.de","citations":[{"doi":"10.1186/s13326-016-0080-2","pubmed_id":27401413,"publication_id":3800}],"identifier":376,"description":"An ontology to characterise differences in versions of computational models in biology","abbreviation":"COMODI","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COMODI","name":"COMODI","portal":"BioPortal"}]},"legacy_ids":["bsg-001026","bsg-s001026"],"name":"FAIRsharing record for: COMODI","abbreviation":"COMODI","url":"https://fairsharing.org/10.25504/FAIRsharing.htq39f","doi":"10.25504/FAIRsharing.htq39f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology to characterise differences in versions of computational models in biology","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12234},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16926}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3800,"pubmed_id":27401413,"title":"COMODI: an ontology to characterise differences in versions of computational models in biology.","year":2016,"url":"https://doi.org/10.1186/s13326-016-0080-2","authors":"Scharm M, Waltemath D, Mendes P, Wolkenhauer O","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-016-0080-2","created_at":"2023-03-17T08:25:31.252Z","updated_at":"2023-03-17T08:25:31.252Z"}],"licence_links":[],"grants":[{"id":10422,"fairsharing_record_id":376,"organisation_id":3320,"relation":"undefined","created_at":"2023-03-17T08:26:57.569Z","updated_at":"2023-03-17T08:26:57.569Z","grant_id":null,"is_lead":false,"saved_state":{"id":3320,"name":"The University of Rostock","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"377","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:46:01.902Z","metadata":{"doi":"10.25504/FAIRsharing.h1v36j","name":"Using Phenotype Ontologies in GVF","status":"deprecated","contacts":[{"contact_name":"Karen Eilbeck","contact_email":"keilbeck@genetics.utah.edu","contact_orcid":"0000-0002-0831-6427"}],"homepage":"http://www.sequenceontology.org/so_wiki/index.php/Using_Phenotype_Ontologies_in_GVF","citations":[],"identifier":377,"description":"This guideline describes a set of best practices when using phenotype ontologies to annotate genomic variant files using Genome Variation Format (GVF) and the Sequence Ontology.","abbreviation":"GVF Guidelines","year_creation":2009,"deprecation_date":"2022-03-02","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000536","bsg-s000536"],"name":"FAIRsharing record for: Using Phenotype Ontologies in GVF","abbreviation":"GVF Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.h1v36j","doi":"10.25504/FAIRsharing.h1v36j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This guideline describes a set of best practices when using phenotype ontologies to annotate genomic variant files using Genome Variation Format (GVF) and the Sequence Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Genetic polymorphism","Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1185,"pubmed_id":20064205,"title":"Integrating phenotype ontologies across multiple species.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-1-r2","authors":"Mungall CJ,Gkoutos GV,Smith CL,Haendel MA,Lewis SE,Ashburner M","journal":"Genome Biol","doi":"10.1186/gb-2010-11-1-r2","created_at":"2021-09-30T08:24:31.725Z","updated_at":"2021-09-30T08:24:31.725Z"}],"licence_links":[],"grants":[{"id":5550,"fairsharing_record_id":377,"organisation_id":2548,"relation":"maintains","created_at":"2021-09-30T09:27:31.370Z","updated_at":"2021-09-30T09:27:31.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2548,"name":"Sequence Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5552,"fairsharing_record_id":377,"organisation_id":2804,"relation":"funds","created_at":"2021-09-30T09:27:31.449Z","updated_at":"2021-09-30T09:27:31.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5554,"fairsharing_record_id":377,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:31.531Z","updated_at":"2021-09-30T09:27:31.531Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5551,"fairsharing_record_id":377,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:31.407Z","updated_at":"2021-09-30T09:31:32.983Z","grant_id":1220,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BG/G004358/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5553,"fairsharing_record_id":377,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:31.490Z","updated_at":"2021-09-30T09:32:06.083Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5549,"fairsharing_record_id":377,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:31.331Z","updated_at":"2021-09-30T09:32:09.473Z","grant_id":1493,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"378","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-14T17:02:50.406Z","metadata":{"doi":"10.25504/FAIRsharing.h4rs6h","name":"GO-PLUS","status":"ready","contacts":[],"homepage":"http://geneontology.org/docs/download-ontology/#go_plus_owl","citations":[],"identifier":378,"description":"This is the fully axiomatised version of the Gene Ontology (GO). It includes cross-ontology relationships (axioms) and imports additional required ontologies including ChEBI, Cell Ontology and Uberon. It also includes a complete set of relationship types including some not in go.obo/go.owl. This version is only available in OWL format.","abbreviation":"GO-PLUS","support_links":[{"url":"https://www.alliancegenome.org/","name":"Alliance of Genome Ressources","type":"Other"},{"url":"http://geneontology.org/docs/go-subset-guide/","name":"Guide to GO subsets","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/oboformat/oboformat-tools","name":" Oboformat tools"},{"url":"https://github.com/owlcs/owlapi","name":"OWL API in Github"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GO-PLUS","name":"GO-PLUS","portal":"BioPortal"}]},"legacy_ids":["bsg-001041","bsg-s001041"],"name":"FAIRsharing record for: GO-PLUS","abbreviation":"GO-PLUS","url":"https://fairsharing.org/10.25504/FAIRsharing.h4rs6h","doi":"10.25504/FAIRsharing.h4rs6h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is the fully axiomatised version of the Gene Ontology (GO). It includes cross-ontology relationships (axioms) and imports additional required ontologies including ChEBI, Cell Ontology and Uberon. It also includes a complete set of relationship types including some not in go.obo/go.owl. This version is only available in OWL format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Gene functional annotation","Molecular function","Cellular component","Biological process"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10410,"fairsharing_record_id":378,"organisation_id":1099,"relation":"maintains","created_at":"2023-03-14T16:53:29.486Z","updated_at":"2023-03-14T16:53:29.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"379","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:34.719Z","metadata":{"doi":"10.25504/FAIRsharing.pkw5bj","name":"Genome Variation Format","status":"ready","contacts":[{"contact_name":"Karen Eilbeck","contact_email":"keilbeck@genetics.utah.edu"}],"homepage":"https://github.com/The-Sequence-Ontology/Specifications/blob/master/gvf.md","identifier":379,"description":"The Genome Variation Format (GVF) is a very simple file format for describing sequence alteration features at nucleotide resolution relative to a reference genome.","abbreviation":"GVF","year_creation":2009},"legacy_ids":["bsg-000535","bsg-s000535"],"name":"FAIRsharing record for: Genome Variation Format","abbreviation":"GVF","url":"https://fairsharing.org/10.25504/FAIRsharing.pkw5bj","doi":"10.25504/FAIRsharing.pkw5bj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome Variation Format (GVF) is a very simple file format for describing sequence alteration features at nucleotide resolution relative to a reference genome.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12032},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16924}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","DNA sequence data","Genetic polymorphism","Genome","Sequence variant"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":432,"pubmed_id":20796305,"title":"A standard variation file format for human genome sequences.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-8-r88","authors":"Reese MG, Moore B, Batchelor C, Salas F, Cunningham F, Marth GT, Stein L, Flicek P, Yandell M, Eilbeck K.","journal":"Genome Biol.","doi":"10.1186/gb-2010-11-8-r88","created_at":"2021-09-30T08:23:06.983Z","updated_at":"2021-09-30T08:23:06.983Z"}],"licence_links":[],"grants":[{"id":5555,"fairsharing_record_id":379,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:31.584Z","updated_at":"2021-09-30T09:27:31.584Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5557,"fairsharing_record_id":379,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:31.654Z","updated_at":"2021-09-30T09:29:44.127Z","grant_id":378,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R44HG3667","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5556,"fairsharing_record_id":379,"organisation_id":2548,"relation":"maintains","created_at":"2021-09-30T09:27:31.621Z","updated_at":"2021-09-30T09:27:31.621Z","grant_id":null,"is_lead":false,"saved_state":{"id":2548,"name":"Sequence Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8446,"fairsharing_record_id":379,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:40.493Z","updated_at":"2021-09-30T09:32:40.549Z","grant_id":1728,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R44HG2991","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"380","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T14:33:51.000Z","updated_at":"2022-02-08T10:40:48.628Z","metadata":{"doi":"10.25504/FAIRsharing.b52795","name":"BIM","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#bim","identifier":380,"description":"Extended variant information file accompanying a .bed binary genotype table.","abbreviation":"BIM"},"legacy_ids":["bsg-001479","bsg-s001479"],"name":"FAIRsharing record for: BIM","abbreviation":"BIM","url":"https://fairsharing.org/10.25504/FAIRsharing.b52795","doi":"10.25504/FAIRsharing.b52795","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Extended variant information file accompanying a .bed binary genotype table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["Chromosome","Allele","Sequence variant"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"370","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-16T16:33:17.617Z","metadata":{"doi":"10.25504/FAIRsharing.6bsfgf","name":"Recommended reporting guidelines for life science resources","status":"ready","contacts":[{"contact_name":"Melissa Haendel","contact_email":"haendel@ohsu.edu"}],"homepage":"https://force11.org/group/pages/recommended-reporting-guidelines-for-life-science-resources/","citations":[],"identifier":370,"description":"Recommended reporting guidelines for research resources frequently used in biomedical research, including antibodies, constructs, cell lines, model organisms and knockdown reagents. The purpose of these guidelines is to determine what information is required to uniquely identify a resource, either using \"extrinsic\" identifiers or providing sufficient metadata about \"intrinsic\" attributes to identify sufficiently characterize a resource. The Resource Identification Initiative was developed as an extension of these guidelines.","abbreviation":"Reporting guidelines for research resources","support_links":[{"url":"https://www.force11.org/group/4463/files","name":"Links \u0026 files","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-000532","bsg-s000532"],"name":"FAIRsharing record for: Recommended reporting guidelines for life science resources","abbreviation":"Reporting guidelines for research resources","url":"https://fairsharing.org/10.25504/FAIRsharing.6bsfgf","doi":"10.25504/FAIRsharing.6bsfgf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Recommended reporting guidelines for research resources frequently used in biomedical research, including antibodies, constructs, cell lines, model organisms and knockdown reagents. The purpose of these guidelines is to determine what information is required to uniquely identify a resource, either using \"extrinsic\" identifiers or providing sufficient metadata about \"intrinsic\" attributes to identify sufficiently characterize a resource. The Resource Identification Initiative was developed as an extension of these guidelines.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Neurobiology","Immunology","Developmental Biology","Life Science","Cell Biology","Biomedical Science","Translational Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":631,"pubmed_id":26594330,"title":"The Resource Identification Initiative: A cultural shift in publishing.","year":2015,"url":"http://doi.org/10.12688/f1000research.6555.2","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan S,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"F1000Res","doi":"10.12688/f1000research.6555.2","created_at":"2021-09-30T08:23:29.376Z","updated_at":"2021-09-30T08:23:29.376Z"},{"id":1283,"pubmed_id":26599696,"title":"The Resource Identification Initiative: A Cultural Shift in Publishing.","year":2015,"url":"http://doi.org/10.1002/cne.23913","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan SC,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"J Comp Neurol","doi":"10.1002/cne.23913","created_at":"2021-09-30T08:24:43.216Z","updated_at":"2021-09-30T08:24:43.216Z"},{"id":1418,"pubmed_id":24032093,"title":"On the reproducibility of science: unique identification of research resources in the biomedical literature.","year":2013,"url":"http://doi.org/10.7717/peerj.148","authors":"Vasilevsky NA,Brush MH,Paddock H,Ponting L,Tripathy SJ,Larocca GM,Haendel MA","journal":"PeerJ","doi":"10.7717/peerj.148","created_at":"2021-09-30T08:24:58.427Z","updated_at":"2021-09-30T08:24:58.427Z"}],"licence_links":[],"grants":[{"id":5539,"fairsharing_record_id":370,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:27:30.857Z","updated_at":"2021-09-30T09:27:30.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5542,"fairsharing_record_id":370,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:30.978Z","updated_at":"2021-09-30T09:31:55.160Z","grant_id":1386,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R24OD011883-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5538,"fairsharing_record_id":370,"organisation_id":2804,"relation":"funds","created_at":"2021-09-30T09:27:30.819Z","updated_at":"2021-09-30T09:27:30.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5540,"fairsharing_record_id":370,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:30.898Z","updated_at":"2021-09-30T09:27:30.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5541,"fairsharing_record_id":370,"organisation_id":2436,"relation":"maintains","created_at":"2021-09-30T09:27:30.939Z","updated_at":"2021-09-30T09:27:30.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2436,"name":"Resource Identification Initiatve","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"371","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T10:05:22.953Z","metadata":{"doi":"10.25504/FAIRsharing.2basyz","name":"Cardiovascular Disease Ontology","status":"ready","contacts":[{"contact_name":"Adrien Barton","contact_email":"adrien.barton@gmail.com"},{"contact_name":"Paul Fabry","contact_email":"paul.fabry@usherbrooke.ca","contact_orcid":null}],"homepage":"https://github.com/OpenLHS/CVDO","citations":[],"identifier":371,"description":"CVDO is an ontology based on the OGMS model of disease, designed to describe entities related to cardiovascular diseases (including the diseases themselves, the underlying disorders, and the related pathological processes).","abbreviation":"CVDO","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CVDO","name":"CVDO","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/cvdo.html","name":"cvdo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001024","bsg-s001024"],"name":"FAIRsharing record for: Cardiovascular Disease Ontology","abbreviation":"CVDO","url":"https://fairsharing.org/10.25504/FAIRsharing.2basyz","doi":"10.25504/FAIRsharing.2basyz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CVDO is an ontology based on the OGMS model of disease, designed to describe entities related to cardiovascular diseases (including the diseases themselves, the underlying disorders, and the related pathological processes).","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16985}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cardiology"],"domains":["Cardiovascular disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2555,"relation":"applies_to_content"}],"grants":[{"id":8691,"fairsharing_record_id":371,"organisation_id":2987,"relation":"maintains","created_at":"2022-01-06T20:15:50.986Z","updated_at":"2022-01-06T20:15:50.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":2987,"name":"Université de Sherbrooke, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8692,"fairsharing_record_id":371,"organisation_id":1444,"relation":"maintains","created_at":"2022-01-06T20:15:51.016Z","updated_at":"2022-01-06T20:15:51.016Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"372","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-04-18T09:43:37.788Z","metadata":{"doi":"10.25504/FAIRsharing.9sza27","name":"Growth Medium Onotology","status":"ready","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"shuichi.kawashima@gmail.com"}],"homepage":"https://github.com/skwsm/gmo","citations":[],"identifier":372,"description":"A structured controlled vocabulary for describing ingredients that constitute microbial growth media used in biological research centers.","abbreviation":"GMO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GMO","name":"GMO","portal":"BioPortal"}]},"legacy_ids":["bsg-001025","bsg-s001025"],"name":"FAIRsharing record for: Growth Medium Onotology","abbreviation":"GMO","url":"https://fairsharing.org/10.25504/FAIRsharing.9sza27","doi":"10.25504/FAIRsharing.9sza27","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for describing ingredients that constitute microbial growth media used in biological research centers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Microbiology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"373","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-20T10:30:03.493Z","metadata":{"doi":"10.25504/FAIRsharing.tv1yg0","name":"Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy","status":"ready","contacts":[{"contact_name":"Annette O'Connor","contact_email":"oconn445@msu.edu"}],"homepage":"http://www.reflect-statement.org/statement/","citations":[],"identifier":373,"description":"REFLECT stands for Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy. It is an evidence-based minimum set of items for trials reporting production, health, and food-safety outcomes.The aim of the REFLECT Statement is to help authors improve the reporting livestock trials with production, health, and food-safety outcomes. The REFLECT Statement consists of a 22-item checklist. It is an evolving document that is subject to change periodically as new evidence emerges.","abbreviation":"REFLECT","support_links":[],"year_creation":2008},"legacy_ids":["bsg-000110","bsg-s000110"],"name":"FAIRsharing record for: Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy","abbreviation":"REFLECT","url":"https://fairsharing.org/10.25504/FAIRsharing.tv1yg0","doi":"10.25504/FAIRsharing.tv1yg0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REFLECT stands for Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy. It is an evidence-based minimum set of items for trials reporting production, health, and food-safety outcomes.The aim of the REFLECT Statement is to help authors improve the reporting livestock trials with production, health, and food-safety outcomes. The REFLECT Statement consists of a 22-item checklist. It is an evolving document that is subject to change periodically as new evidence emerges.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12105},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12508}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Nutritional Science","Preclinical Studies"],"domains":["Safety study","Group randomization"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1826,"pubmed_id":20070652,"title":"The REFLECT statement: reporting guidelines for Randomized Controlled Trials in livestock and food safety: explanation and elaboration.","year":2010,"url":"http://doi.org/10.1111/j.1863-2378.2009.01312.x","authors":"Sargeant JM,O'Connor AM,Gardner IA,Dickson JS,Torrence ME","journal":"Zoonoses Public Health","doi":"10.1111/j.1863-2378.2009.01312.x","created_at":"2021-09-30T08:25:45.106Z","updated_at":"2021-09-30T08:25:45.106Z"},{"id":4147,"pubmed_id":null,"title":"The REFLECT Statement: Methods and Processes of Creating Reporting Guidelines for Randomized Controlled Trials for Livestockand Food Safety","year":2016,"url":"http://dx.doi.org/10.4315/0362-028x-73.1.132","authors":"O’Connor, A.M.; Sargeant, J.M.; Gardner, I.A.; Dickson, J.S.; Torrence and, M.E.; Dewey, C.E.; Dohoo, I.R.; Evans, R.B.; Gray, J.T.; Greiner, M.; Keefe, G.; Lefebvre, S.L.; Morley, P.S.; Ramirez, A.; Sischo, W.; Smith, D.R.; Snedeker, K.; Sofos, J.N.; Ward, M.P.; Wills, R.; ","journal":"Journal of Food Protection","doi":"10.4315/0362-028x-73.1.132","created_at":"2024-02-20T10:13:59.726Z","updated_at":"2024-02-20T10:13:59.726Z"},{"id":4148,"pubmed_id":null,"title":"The REFLECT Statement: Reporting Guidelines for Randomized Controlled Trials in Livestock and Food Safety: Explanation and Elaboration","year":2016,"url":"http://dx.doi.org/10.4315/0362-028x-73.3.579","authors":"Sargeant, J.M.; O’connor, A.M.; Gardner, I.A.; Dickson, J.S.; Torrence, M.E.; Dohoo, Consensus Meeting Participants I.R.; Lefebvre, S.L.; Morley, P.S.; Ramirez, A.; Snedeker, K.; ","journal":"Journal of Food Protection","doi":"10.4315/0362-028x-73.3.579","created_at":"2024-02-20T10:14:15.614Z","updated_at":"2024-02-20T10:14:15.614Z"},{"id":4149,"pubmed_id":null,"title":"The REFLECT Statement: Methods and Processes of Creating Reporting Guidelines for Randomized Controlled Trials for Livestock and Food Safety by Modifying the CONSORT Statement","year":2010,"url":"http://dx.doi.org/10.1111/j.1863-2378.2009.01311.x","authors":"O’Connor, A. M.; Sargeant, J. M.; Gardner, I. A.; Dickson, J. S.; Torrence, M. E.; Dewey, C. E.; Dohoo, I. R.; Evans, R. B.; Gray, J. T.; Greiner, M.; Keefe, G.; Lefebvre, S. L.; Morley, P. S.; Ramirez, A.; Sischo, W.; Smith, D. R.; Snedeker, K.; Sofos, J.; Ward, M. P.; Wills, R.; undefined, undefined; ","journal":"Zoonoses and Public Health","doi":"10.1111/j.1863-2378.2009.01311.x","created_at":"2024-02-20T10:14:37.372Z","updated_at":"2024-02-20T10:14:37.372Z"},{"id":4150,"pubmed_id":null,"title":"The REFLECT Statement: Methods and Processes of Creating Reporting Guidelines for Randomized Controlled Trials for Livestock and Food Safety","year":2009,"url":"http://dx.doi.org/10.1111/j.1939-1676.2009.0441.x","authors":"O'Connor, A.M.; Sargeant, J.M.; Gardner, I.A.; Dickson, J.S.; Torrence, M.E.; undefined, undefined; ","journal":"Veterinary Internal Medicne","doi":"10.1111/j.1939-1676.2009.0441.x","created_at":"2024-02-20T10:14:46.784Z","updated_at":"2024-02-20T10:14:46.784Z"},{"id":4151,"pubmed_id":null,"title":"The REFLECT statement: Methods and processes of creating Reporting Guidelines For Randomized Controlled Trials for livestock and food safety","year":2009,"url":"http://dx.doi.org/10.1016/j.prevetmed.2009.10.008","authors":"O’Connor, A.M.; Sargeant, J.M.; Gardner, I.A.; Dickson, J.S.; Torrence, M.E.; Dewey, C.E.; Dohoo, I.R.; Evans, R.B.; Gray, J.T.; Greiner, M.; Keefe, G.; Lefebvre, S.L.; Morley, P.S.; Ramirez, A.; Sischo, W.; Smith, D.R.; Snedeker, K.; Sofos, J.; Ward, M.P.; Wills, R.; ","journal":"Preventive Veterinary Medicine","doi":"10.1016/j.prevetmed.2009.10.008","created_at":"2024-02-20T10:14:56.877Z","updated_at":"2024-02-20T10:14:56.877Z"}],"licence_links":[],"grants":[{"id":5544,"fairsharing_record_id":373,"organisation_id":2937,"relation":"funds","created_at":"2021-09-30T09:27:31.099Z","updated_at":"2021-09-30T09:31:37.160Z","grant_id":1251,"is_lead":false,"saved_state":{"id":2937,"name":"Food Safety and Inspection Service, United States Department of Agriculture","grant":"2005-35212-15287","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11388,"fairsharing_record_id":373,"organisation_id":4276,"relation":"collaborates_on","created_at":"2024-02-20T10:23:41.813Z","updated_at":"2024-02-20T10:23:41.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":4276,"name":"Ontario Veterinary College","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11390,"fairsharing_record_id":373,"organisation_id":1830,"relation":"maintains","created_at":"2024-02-20T10:23:41.964Z","updated_at":"2024-02-20T10:23:41.964Z","grant_id":null,"is_lead":true,"saved_state":{"id":1830,"name":"Michigan State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11392,"fairsharing_record_id":373,"organisation_id":4277,"relation":"collaborates_on","created_at":"2024-02-20T10:23:42.118Z","updated_at":"2024-02-20T10:23:42.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":4277,"name":"University of Prince Edward Island","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11394,"fairsharing_record_id":373,"organisation_id":561,"relation":"collaborates_on","created_at":"2024-02-20T10:23:42.311Z","updated_at":"2024-02-20T10:23:42.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":561,"name":"Colorado State University, CO, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11389,"fairsharing_record_id":373,"organisation_id":1545,"relation":"collaborates_on","created_at":"2024-02-20T10:23:41.814Z","updated_at":"2024-02-20T10:23:41.814Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11391,"fairsharing_record_id":373,"organisation_id":2932,"relation":"collaborates_on","created_at":"2024-02-20T10:23:41.987Z","updated_at":"2024-02-20T10:23:41.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":11393,"fairsharing_record_id":373,"organisation_id":4278,"relation":"collaborates_on","created_at":"2024-02-20T10:23:42.169Z","updated_at":"2024-02-20T10:23:42.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":4278,"name":"American Veterinary Medical Association","types":["Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcG9EIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--bb8cf2b379b645e33e30ba91be7c85ffa2ea26cb/Screenshot%20from%202024-02-20%2010-12-05.png?disposition=inline","exhaustive_licences":false}},{"id":"374","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:51:19.981Z","metadata":{"doi":"10.25504/FAIRsharing.emw61v","name":"Toxicology Data Markup Language","status":"deprecated","contacts":[{"contact_name":"Ma Ali","contact_email":"ash.ali@lhasalimited.org"}],"homepage":"http://toxml.org","citations":[],"identifier":374,"description":"ToxML is an open data exchange standard that allows the representation and communication of toxicological and related data in a well-structured electronic format. The status of this format is uncertain as the homepage is no longer accessible. ","abbreviation":"ToxML","year_creation":2011,"deprecation_date":"2022-03-02","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000539","bsg-s000539"],"name":"FAIRsharing record for: Toxicology Data Markup Language","abbreviation":"ToxML","url":"https://fairsharing.org/10.25504/FAIRsharing.emw61v","doi":"10.25504/FAIRsharing.emw61v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ToxML is an open data exchange standard that allows the representation and communication of toxicological and related data in a well-structured electronic format. The status of this format is uncertain as the homepage is no longer accessible. ","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10854},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11725},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12475}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Toxicogenomics","Toxicology","Chemistry","Life Science"],"domains":["Chemical entity","Toxicity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":604,"pubmed_id":23621552,"title":"ToxML, a data exchange standard with content controlled vocabulary used to build better (Q)SAR models","year":2013,"url":"http://doi.org/10.1080/1062936X.2013.783506","authors":"Ali M, Patel M, Wilkinson D, Judson P, Cross K, Bower D","journal":"SAR and QSAR in Environmental Research","doi":"10.1080/1062936X.2013.783506","created_at":"2021-09-30T08:23:26.202Z","updated_at":"2021-09-30T08:23:26.202Z"}],"licence_links":[],"grants":[{"id":5546,"fairsharing_record_id":374,"organisation_id":1711,"relation":"funds","created_at":"2021-09-30T09:27:31.206Z","updated_at":"2021-09-30T09:27:31.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":1711,"name":"Lhasa Limited, Leeds, UK","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"344","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-31T17:56:06.840Z","metadata":{"doi":"10.25504/FAIRsharing.aa0eat","name":"OBO Format Syntax and Semantics","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://owlcollab.github.io/oboformat/doc/obo-syntax.html","citations":[],"identifier":344,"description":"The first part of this specification describes the syntax and structure of OBO Format using BNF. This states how strings of characters in OBOF Files are parsed into abstract OBO documents, and describes constraints on the structure of these documents. The second part of this specification describes the semantics of an OBO document via a mapping to OWL2-DL and community metadata vocabularies.","abbreviation":"OBO Format","year_creation":2012},"legacy_ids":["bsg-000534","bsg-s000534"],"name":"FAIRsharing record for: OBO Format Syntax and Semantics","abbreviation":"OBO Format","url":"https://fairsharing.org/10.25504/FAIRsharing.aa0eat","doi":"10.25504/FAIRsharing.aa0eat","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first part of this specification describes the syntax and structure of OBO Format using BNF. This states how strings of characters in OBOF Files are parsed into abstract OBO documents, and describes constraints on the structure of these documents. The second part of this specification describes the semantics of an OBO document via a mapping to OWL2-DL and community metadata vocabularies.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12215}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"345","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2021-11-24T13:14:19.374Z","metadata":{"doi":"10.25504/FAIRsharing.qqy0dr","name":"Ontology of Chinese Medicine for Rheumatism","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/biomedontology/ocmr","identifier":345,"description":"OCMR is a biomedical ontology that represents anti-rheumatism traditional Chinese medicines and related information.","abbreviation":"OCMR","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCMR","name":"OCMR","portal":"BioPortal"}]},"legacy_ids":["bsg-001004","bsg-s001004"],"name":"FAIRsharing record for: Ontology of Chinese Medicine for Rheumatism","abbreviation":"OCMR","url":"https://fairsharing.org/10.25504/FAIRsharing.qqy0dr","doi":"10.25504/FAIRsharing.qqy0dr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OCMR is a biomedical ontology that represents anti-rheumatism traditional Chinese medicines and related information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1271,"relation":"undefined"}],"grants":[{"id":5506,"fairsharing_record_id":345,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:29.763Z","updated_at":"2021-09-30T09:27:29.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"347","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2024-03-25T20:38:27.926Z","metadata":{"doi":"10.25504/FAIRsharing.pn1sen","name":"Enzyme Reaction Ontology for annotating Partial Information of chemical transformation","status":"ready","contacts":[{"contact_name":"Masaaki Kotera","contact_email":"maskot@bio.titech.ac.jp"}],"homepage":"http://reactionontology.genome.jp/","citations":[],"identifier":347,"description":"PIERO stands for \"Enzyme Reaction Ontology for annotating Partial Information of chemical transformation\", which allows the extraction of partial reaction characteristics (or transformations) of the enzymatic reactions. ","abbreviation":"PIERO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PIERO","name":"PIERO","portal":"BioPortal"}]},"legacy_ids":["bsg-001008","bsg-s001008"],"name":"FAIRsharing record for: Enzyme Reaction Ontology for annotating Partial Information of chemical transformation","abbreviation":"PIERO","url":"https://fairsharing.org/10.25504/FAIRsharing.pn1sen","doi":"10.25504/FAIRsharing.pn1sen","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PIERO stands for \"Enzyme Reaction Ontology for annotating Partial Information of chemical transformation\", which allows the extraction of partial reaction characteristics (or transformations) of the enzymatic reactions. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Enzymology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":4206,"pubmed_id":null,"title":"PIERO ontology for analysis of biochemical transformations: Effective implementation of reaction information in the IUBMB enzyme list","year":2014,"url":"http://dx.doi.org/10.1142/S0219720014420013","authors":"Kotera, Masaaki; Nishimura, Yosuke; Nakagawa, Zen-Ichi; Muto, Ai; Moriya, Yuki; Okamoto, Shinobu; Kawashima, Shuichi; Katayama, Toshiaki; Tokimatsu, Toshiaki; Kanehisa, Minoru; Goto, Susumu; ","journal":"J. Bioinform. Comput. Biol.","doi":"10.1142/s0219720014420013","created_at":"2024-03-25T19:36:58.641Z","updated_at":"2024-03-25T19:36:58.641Z"}],"licence_links":[],"grants":[{"id":10409,"fairsharing_record_id":347,"organisation_id":1654,"relation":"maintains","created_at":"2023-03-14T16:46:38.324Z","updated_at":"2024-03-25T20:23:00.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":1654,"name":"Kyoto University, Kyoto, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11624,"fairsharing_record_id":347,"organisation_id":239,"relation":"maintains","created_at":"2024-03-25T20:23:00.043Z","updated_at":"2024-03-25T20:23:00.043Z","grant_id":null,"is_lead":true,"saved_state":{"id":239,"name":"Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto,Japan","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFlFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--80c044d69ca4031cb9b8d1b0cacb1999069b3476/piero-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"348","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-15T21:51:34.838Z","metadata":{"doi":"10.25504/FAIRsharing.azj141","name":"Material Rock Igneous","status":"deprecated","contacts":[{"contact_name":"Nitin","contact_email":"jhanit@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MATRROCKIGNEOUS","citations":[],"identifier":348,"description":"Material Rock Igneous component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","abbreviation":"MATRROCKIGNEOUS","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MATRROCKIGNEOUS","name":"MATRROCKIGNEOUS","portal":"BioPortal"}],"deprecation_date":"2022-07-15","deprecation_reason":"Deprecated because we represent all SWEET component ontologies via the main SWEET ontology record."},"legacy_ids":["bsg-001009","bsg-s001009"],"name":"FAIRsharing record for: Material Rock Igneous","abbreviation":"MATRROCKIGNEOUS","url":"https://fairsharing.org/10.25504/FAIRsharing.azj141","doi":"10.25504/FAIRsharing.azj141","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Material Rock Igneous component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"349","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T09:07:38.640Z","metadata":{"doi":"10.25504/FAIRsharing.309v57","name":"Livestock Breed Ontology","status":"ready","contacts":[{"contact_name":"Jim Reecy","contact_email":"jreecy@iastate.edu"}],"homepage":"https://www.animalgenome.org/bioinfo/projects/lbo/","citations":[],"identifier":349,"description":"The Livestock Breed Ontology (LBO) is a controlled vocabulary for the unambiguous description of breeds. Its utility include proper identification of inherited variation sources in genetics/genomic studies. ","abbreviation":"LBO","support_links":[{"url":"https://github.com/AnimalGenome/livestock-breed-ontology","name":"LBO GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LBO","name":"LBO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/lbo","name":"LBO in OLS","portal":"OLS"},{"url":"http://agroportal.lirmm.fr/ontologies/LBO","name":"LBO in AgroPortal","portal":"AgroPortal"}]},"legacy_ids":["bsg-001011","bsg-s001011"],"name":"FAIRsharing record for: Livestock Breed Ontology","abbreviation":"LBO","url":"https://fairsharing.org/10.25504/FAIRsharing.309v57","doi":"10.25504/FAIRsharing.309v57","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Livestock Breed Ontology (LBO) is a controlled vocabulary for the unambiguous description of breeds. Its utility include proper identification of inherited variation sources in genetics/genomic studies. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Breeding","Genomics","Genetics","Animal Husbandry"],"domains":[],"taxonomies":["Bison bison","Bos taurus","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2733,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"350","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T10:31:24.000Z","updated_at":"2022-07-20T10:51:25.364Z","metadata":{"name":"Open Microscopy Environment Ontology","status":"in_development","contacts":[{"contact_name":"Norio Kobayashi","contact_email":"norio.kobayashi@riken.jp"}],"homepage":"https://gitlab.com/openmicroscopy/incubator/ome-owl","identifier":350,"description":"The Open Microscopy Environment Ontology (OME-OWL) is a light microscopy imaging ontology that has been developed through translation of the OME data model. The aim of this ontology is to support multi-modal imaging technologies and integrate life-science metadata to enable comprehensive image analyses. The core concepts extracted from the OME Data model include project, experiment, instrument, image, screen, plate and region of interest. The ontology has been extended to include electron microscopy, X-ray computed tomography (CT) and magnetic resonance imaging (MRI).","abbreviation":"OME-OWL","support_links":[{"url":"https://gitlab.com/openmicroscopy/incubator/ome-owl/issues","name":"Issue Tracker","type":"Forum"}],"year_creation":2018,"associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}]},"legacy_ids":["bsg-001430","bsg-s001430"],"name":"FAIRsharing record for: Open Microscopy Environment Ontology","abbreviation":"OME-OWL","url":"https://fairsharing.org/fairsharing_records/350","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Microscopy Environment Ontology (OME-OWL) is a light microscopy imaging ontology that has been developed through translation of the OME data model. The aim of this ontology is to support multi-modal imaging technologies and integrate life-science metadata to enable comprehensive image analyses. The core concepts extracted from the OME Data model include project, experiment, instrument, image, screen, plate and region of interest. The ontology has been extended to include electron microscopy, X-ray computed tomography (CT) and magnetic resonance imaging (MRI).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18248},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11015},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14565}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Bioimaging","Light microscopy","Electron microscopy","Magnetic resonance imaging"],"taxonomies":["All"],"user_defined_tags":["X-ray Computed Tomography (CT)"],"countries":["Japan","United Kingdom"],"publications":[{"id":2706,"pubmed_id":null,"title":"OME Ontology: A Novel Data and Tool Integration Methodology for Multi-Modal Imaging in the Life Sciences.","year":2018,"url":"https://doi.org/10.6084/m9.figshare.7325063.v1","authors":"Kobayashi, Norio; Kume, Satoshi; Moore, Josh; Swedlow, Jason R.","journal":"Figshare","doi":null,"created_at":"2021-09-30T08:27:32.352Z","updated_at":"2021-09-30T11:29:51.943Z"}],"licence_links":[],"grants":[{"id":5508,"fairsharing_record_id":350,"organisation_id":2443,"relation":"maintains","created_at":"2021-09-30T09:27:29.834Z","updated_at":"2021-09-30T09:27:29.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":2443,"name":"RIKEN Center for Biosystems Dynamics Research (BDR), RIKEN, Hyogo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5509,"fairsharing_record_id":350,"organisation_id":769,"relation":"maintains","created_at":"2021-09-30T09:27:29.857Z","updated_at":"2021-09-30T09:27:29.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":769,"name":"Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5510,"fairsharing_record_id":350,"organisation_id":1220,"relation":"maintains","created_at":"2021-09-30T09:27:29.883Z","updated_at":"2021-09-30T09:27:29.883Z","grant_id":null,"is_lead":true,"saved_state":{"id":1220,"name":"Head Office for Information Systems and Cybersecurity (ISC), RIKEN, Saitama, Japan","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5507,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:27:29.802Z","updated_at":"2021-09-30T09:29:15.870Z","grant_id":165,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"5K16536","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8035,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:30:32.844Z","updated_at":"2021-09-30T09:30:32.896Z","grant_id":759,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"17K00434","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8146,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:31:11.130Z","updated_at":"2021-09-30T09:31:11.175Z","grant_id":1053,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"18K19766","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8467,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:32:46.894Z","updated_at":"2021-09-30T09:32:46.951Z","grant_id":1775,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"17K00424","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"336","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T10:21:55.000Z","updated_at":"2023-05-04T13:18:31.199Z","metadata":{"doi":"10.25504/FAIRsharing.5cae72","name":"RDF/XML Syntax Specification","status":"ready","contacts":[{"contact_name":"Guus Schreiber","contact_email":"guus.schreiber@vu.nl","contact_orcid":"0000-0002-2400-1185"}],"homepage":"http://www.w3.org/TR/rdf-syntax-grammar/","citations":[],"identifier":336,"description":"RDF/XML is a standard which defines and describes the XML syntax for RDF graphs. Since 2004 it has been standardized as a W3C Recommendation.","abbreviation":"RDF/XML","support_links":[{"url":"public-rdf-comments@w3.org","name":"Make comments","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/RDF1.1_Errata","name":"Errata","type":"Help documentation"},{"url":"https://lists.w3.org/Archives/Public/public-rdf-comments/","name":"Mail Archives","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001261","bsg-s001261"],"name":"FAIRsharing record for: RDF/XML Syntax Specification","abbreviation":"RDF/XML","url":"https://fairsharing.org/10.25504/FAIRsharing.5cae72","doi":"10.25504/FAIRsharing.5cae72","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDF/XML is a standard which defines and describes the XML syntax for RDF graphs. Since 2004 it has been standardized as a W3C Recommendation.","linked_records":[],"linking_records":[{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13244}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Patent Policy","licence_id":849,"licence_url":"https://www.w3.org/Consortium/Patent-Policy-20040205/","link_id":132,"relation":"undefined"}],"grants":[{"id":5499,"fairsharing_record_id":336,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:29.457Z","updated_at":"2021-09-30T09:27:29.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5501,"fairsharing_record_id":336,"organisation_id":3012,"relation":"maintains","created_at":"2021-09-30T09:27:29.525Z","updated_at":"2021-09-30T09:27:29.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":3012,"name":"University of Amsterdam, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5500,"fairsharing_record_id":336,"organisation_id":3206,"relation":"maintains","created_at":"2021-09-30T09:27:29.492Z","updated_at":"2023-05-03T15:12:27.817Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"337","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-05-23T12:20:35.576Z","metadata":{"doi":"10.25504/FAIRsharing.8xmrgq","name":"Pathogenic Disease Ontology","status":"deprecated","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"http://mdb.bio.titech.ac.jp/pdo","citations":[],"identifier":337,"description":"An ontology for describing both human infectious diseases caused by microbes and the diseases that is related to microbial infection.","abbreviation":"PDO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDO","name":"PDO","portal":"BioPortal"}],"deprecation_date":"2022-05-23","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000998","bsg-s000998"],"name":"FAIRsharing record for: Pathogenic Disease Ontology","abbreviation":"PDO","url":"https://fairsharing.org/10.25504/FAIRsharing.8xmrgq","doi":"10.25504/FAIRsharing.8xmrgq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing both human infectious diseases caused by microbes and the diseases that is related to microbial infection.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Pathogen"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"339","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-03-30T07:31:23.156Z","metadata":{"doi":"10.25504/FAIRsharing.xn3pb3","name":"Veterans Health Administration National Drug File","status":"ready","contacts":[{"contact_name":"Michael Lincoln","contact_email":"michael.lincoln@med.va.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/VANDF/","identifier":339,"description":"Veterans Health Administration National Drug File is a centrally maintained electronic drug list used by the VHA hospitals and clinics. Facilities use the NDF to check drug interactions, to manage orders, and to send outpatient prescriptions to regional automated mail-out pharmacies.","abbreviation":"VANDF","support_links":[{"url":"https://www.pbm.va.gov/NationalFormulary.asp","name":"Pharmacy Benefits Management Services","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VANDF","name":"VANDF","portal":"BioPortal"}]},"legacy_ids":["bsg-002682","bsg-s002682"],"name":"FAIRsharing record for: Veterans Health Administration National Drug File","abbreviation":"VANDF","url":"https://fairsharing.org/10.25504/FAIRsharing.xn3pb3","doi":"10.25504/FAIRsharing.xn3pb3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Veterans Health Administration National Drug File is a centrally maintained electronic drug list used by the VHA hospitals and clinics. Facilities use the NDF to check drug interactions, to manage orders, and to send outpatient prescriptions to regional automated mail-out pharmacies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacology","Biomedical Science"],"domains":["Drug","Drug interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":897,"pubmed_id":12463886,"title":"A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF.","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12463886","authors":"Nelson SJ,Brown SH,Erlbaum MS,Olson N,Powell T,Carlsen B,Carter J,Tuttle MS,Hole WT","journal":"Proc AMIA Symp","doi":null,"created_at":"2021-09-30T08:23:59.121Z","updated_at":"2021-09-30T08:23:59.121Z"}],"licence_links":[],"grants":[{"id":9062,"fairsharing_record_id":339,"organisation_id":2948,"relation":"maintains","created_at":"2022-03-29T17:18:26.072Z","updated_at":"2022-03-29T17:18:26.072Z","grant_id":null,"is_lead":false,"saved_state":{"id":2948,"name":"United States Department of Veterans Affairs","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5503,"fairsharing_record_id":339,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:29.596Z","updated_at":"2021-09-30T09:27:29.596Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"341","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:17:29.000Z","updated_at":"2024-05-21T11:36:29.070Z","metadata":{"doi":"10.25504/FAIRsharing.ldTee3","name":"IDG Tissue Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":341,"description":"Tissue sample model system reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001228","bsg-s001228"],"name":"FAIRsharing record for: IDG Tissue Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ldTee3","doi":"10.25504/FAIRsharing.ldTee3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Tissue sample model system reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11700}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11539,"fairsharing_record_id":341,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:11.065Z","updated_at":"2024-03-21T13:58:11.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11620,"fairsharing_record_id":341,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:11:17.989Z","updated_at":"2024-03-21T16:11:17.989Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaElFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4d45e486bd45ecf544e9d8f1fd7975234b4388d5/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"342","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:34.056Z","metadata":{"doi":"10.25504/FAIRsharing.8drfwh","name":"ICM binary file Format","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"support@molsoft.com"}],"homepage":"http://www.molsoft.com/icm/files.html","identifier":342,"description":"ICM binary file Format is used in databases pertaining to structural biology and protein families. This format can be used for the graphical representation of RNA, DNA, and proteins interactions.","abbreviation":"ICB","support_links":[{"url":"https://www.facebook.com/Molsoft/photos/a.458762136275.245660.151352866275/10153513335891276/?type=3","type":"Facebook"}],"year_creation":2013},"legacy_ids":["bsg-000277","bsg-s000277"],"name":"FAIRsharing record for: ICM binary file Format","abbreviation":"ICB","url":"https://fairsharing.org/10.25504/FAIRsharing.8drfwh","doi":"10.25504/FAIRsharing.8drfwh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ICM binary file Format is used in databases pertaining to structural biology and protein families. This format can be used for the graphical representation of RNA, DNA, and proteins interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Chemical structure","Molecular entity","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5505,"fairsharing_record_id":342,"organisation_id":1890,"relation":"maintains","created_at":"2021-09-30T09:27:29.680Z","updated_at":"2021-09-30T09:27:29.680Z","grant_id":null,"is_lead":false,"saved_state":{"id":1890,"name":"Molsoft LLC, San Diego, CA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"330","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:03:10.000Z","updated_at":"2024-03-21T16:13:52.404Z","metadata":{"doi":"10.25504/FAIRsharing.iUR9zW","name":"IDG Mouse Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":330,"description":"Mouse reporting standard for the Illuminating the Druggable Genome (IDG) consortium. Reporting standards based on Mutant Mouse Resource \u0026 Research Centers (MMRRC) requirements for deposition and resource management/availability.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/druggablegenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001225","bsg-s001225"],"name":"FAIRsharing record for: IDG Mouse Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.iUR9zW","doi":"10.25504/FAIRsharing.iUR9zW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mouse reporting standard for the Illuminating the Druggable Genome (IDG) consortium. Reporting standards based on Mutant Mouse Resource \u0026 Research Centers (MMRRC) requirements for deposition and resource management/availability.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11704}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Model organism","Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11561,"fairsharing_record_id":330,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.287Z","updated_at":"2024-03-21T13:58:57.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11619,"fairsharing_record_id":330,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:10:58.662Z","updated_at":"2024-03-21T16:10:58.662Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaEVFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e4b9dbbbf59a59aa892b3605e2927959c5064e59/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"331","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T18:59:15.000Z","updated_at":"2024-03-21T16:13:48.831Z","metadata":{"doi":"10.25504/FAIRsharing.aYZb2k","name":"IDG Genetic Construct Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":331,"description":"DNA construct reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/druggablegenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001224","bsg-s001224"],"name":"FAIRsharing record for: IDG Genetic Construct Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.aYZb2k","doi":"10.25504/FAIRsharing.aYZb2k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DNA construct reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11699}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genomics","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11562,"fairsharing_record_id":331,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.550Z","updated_at":"2024-03-21T13:58:57.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11618,"fairsharing_record_id":331,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:10:43.149Z","updated_at":"2024-03-21T16:10:43.149Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaEFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e97182cb49e20c5784cddb887c7fe544f8b7907b/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"332","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:34:25.000Z","updated_at":"2022-12-14T08:23:29.597Z","metadata":{"doi":"10.25504/FAIRsharing.L4Q3H9","name":"IVOA Identifier","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/IVOAIdentifiers/index.html","citations":[{"publication_id":2955}],"identifier":332,"description":"An IVOA Identifier is a globally unique name for a resource within the Virtual Observatory. This name can be used to retrieve a unique description of the resource from an IVOA-compliant registry or to identify an entity like a dataset or a protocol without dereferencing the identifier. This document describes the syntax for IVOA Identifiers as well as how they are created. The syntax has been defined to encourage global-uniqueness naturally and to maximize the freedom of resource providers to control the character content of an identifier.","abbreviation":"IVOA Identifier","support_links":[{"url":"http://www.ivoa.net/documents/IVOAIdentifiers/20160523/REC-Identifiers-2.0.html","name":"View Standard","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001196","bsg-s001196"],"name":"FAIRsharing record for: IVOA Identifier","abbreviation":"IVOA Identifier","url":"https://fairsharing.org/10.25504/FAIRsharing.L4Q3H9","doi":"10.25504/FAIRsharing.L4Q3H9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An IVOA Identifier is a globally unique name for a resource within the Virtual Observatory. This name can be used to retrieve a unique description of the resource from an IVOA-compliant registry or to identify an entity like a dataset or a protocol without dereferencing the identifier. This document describes the syntax for IVOA Identifiers as well as how they are created. The syntax has been defined to encourage global-uniqueness naturally and to maximize the freedom of resource providers to control the character content of an identifier.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11487}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Astrophysics and Astronomy"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2955,"pubmed_id":null,"title":"IVOA Identifiers Version 2.0","year":2016,"url":"http://dx.doi.org/10.5479/ADS/bib/2016ivoa.spec.0523D","authors":"Demleitner, Markus; Plante, Raymond; Linde, Tony; Williams, Roy; Noddle, Keith","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.208Z","updated_at":"2021-09-30T08:28:04.208Z"}],"licence_links":[],"grants":[{"id":5496,"fairsharing_record_id":332,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:27:29.383Z","updated_at":"2021-09-30T09:27:29.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5495,"fairsharing_record_id":332,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:29.350Z","updated_at":"2021-09-30T09:27:29.350Z","grant_id":null,"is_lead":true,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"357","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T14:11:13.000Z","updated_at":"2022-07-20T09:29:04.845Z","metadata":{"doi":"10.25504/FAIRsharing.f846bd","name":"CRAM","status":"ready","contacts":[{"contact_name":"James Bonfield","contact_email":"jkb@sanger.ac.uk","contact_orcid":"0000-0002-6447-4112"}],"homepage":"https://www.sanger.ac.uk/science/tools/cram","identifier":357,"description":"CRAM is a sequencing read file format that is highly space efficient by using reference-based compression of sequence data and offers both lossless and lossy modes of compression. Building on early proof-of-principle for reference-based compression (Hsi-Yang Fritz, et al. (2011). Genome Res. 21:734-740), the CRAM format balances usability with compression efficiency.","abbreviation":"CRAM","support_links":[{"url":"https://www.ebi.ac.uk/ena/software/cram-toolkit","name":"EBI's documentation","type":"Help documentation"}],"year_creation":2012,"associated_tools":[{"url":"https://www.ebi.ac.uk/ena/software/cram-reference-registry","name":"CRAM reference registry"}]},"legacy_ids":["bsg-001478","bsg-s001478"],"name":"FAIRsharing record for: CRAM","abbreviation":"CRAM","url":"https://fairsharing.org/10.25504/FAIRsharing.f846bd","doi":"10.25504/FAIRsharing.f846bd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CRAM is a sequencing read file format that is highly space efficient by using reference-based compression of sequence data and offers both lossless and lossy modes of compression. Building on early proof-of-principle for reference-based compression (Hsi-Yang Fritz, et al. (2011). Genome Res. 21:734-740), the CRAM format balances usability with compression efficiency.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18278},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14557},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16916}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["DNA sequence data","Next generation DNA sequencing","High Throughput Screening","RNA sequencing"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":2979,"pubmed_id":21245279,"title":"Efficient storage of high throughput DNA sequencing data using reference-based compression.","year":2011,"url":"http://doi.org/10.1101/gr.114819.110","authors":"Hsi-Yang Fritz M,Leinonen R,Cochrane G,Birney E","journal":"Genome Res","doi":"10.1101/gr.114819.110","created_at":"2021-09-30T08:28:07.090Z","updated_at":"2021-09-30T08:28:07.090Z"},{"id":2980,"pubmed_id":24930138,"title":"The Scramble conversion tool.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu390","authors":"Bonfield JK","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu390","created_at":"2021-09-30T08:28:07.208Z","updated_at":"2021-09-30T08:28:07.208Z"}],"licence_links":[],"grants":[{"id":5525,"fairsharing_record_id":357,"organisation_id":908,"relation":"funds","created_at":"2021-09-30T09:27:30.305Z","updated_at":"2021-09-30T09:27:30.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5526,"fairsharing_record_id":357,"organisation_id":1688,"relation":"maintains","created_at":"2021-09-30T09:27:30.347Z","updated_at":"2021-09-30T09:27:30.347Z","grant_id":null,"is_lead":false,"saved_state":{"id":1688,"name":"Large Scale Genomics Work Streams, Global Alliance for Genomics and Health (GA4GH)","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5527,"fairsharing_record_id":357,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:27:30.385Z","updated_at":"2021-09-30T09:29:00.067Z","grant_id":48,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"098051","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8031,"fairsharing_record_id":357,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:30:31.370Z","updated_at":"2021-09-30T09:30:31.432Z","grant_id":746,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"085532","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"358","type":"fairsharing_records","attributes":{"created_at":"2020-06-29T10:49:31.000Z","updated_at":"2022-07-20T13:20:40.477Z","metadata":{"doi":"10.25504/FAIRsharing.4d969b","name":"GeoJSON","status":"ready","contacts":[{"contact_name":"Sean Gillies","contact_email":"sean.gillies@gmail.com"}],"homepage":"https://geojson.org/","identifier":358,"description":"GeoJSON is a geospatial data interchange format based on JavaScript Object Notation (JSON). It defines several types of JSON objects and the manner in which they are combined to represent data about geographic features, their properties, and their spatial extents. In 2015, the Internet Engineering Task Force (IETF), in conjunction with the original specification authors, formed a GeoJSON WG to standardize GeoJSON. RFC 7946 was published in August 2016 and is the new standard specification of the GeoJSON format, replacing the 2008 GeoJSON specification.","abbreviation":"GeoJSON","support_links":[{"url":"https://en.wikipedia.org/wiki/GeoJSON","name":"GeoJSON Wikipedia Entry","type":"Wikipedia"}],"year_creation":2008},"legacy_ids":["bsg-001503","bsg-s001503"],"name":"FAIRsharing record for: GeoJSON","abbreviation":"GeoJSON","url":"https://fairsharing.org/10.25504/FAIRsharing.4d969b","doi":"10.25504/FAIRsharing.4d969b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeoJSON is a geospatial data interchange format based on JavaScript Object Notation (JSON). It defines several types of JSON objects and the manner in which they are combined to represent data about geographic features, their properties, and their spatial extents. In 2015, the Internet Engineering Task Force (IETF), in conjunction with the original specification authors, formed a GeoJSON WG to standardize GeoJSON. RFC 7946 was published in August 2016 and is the new standard specification of the GeoJSON format, replacing the 2008 GeoJSON specification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":1977,"relation":"undefined"},{"licence_name":"IETF Trust Legal Provisions (TLP)","licence_id":428,"licence_url":"https://trustee.ietf.org/trust-legal-provisions.html","link_id":1976,"relation":"undefined"}],"grants":[{"id":5528,"fairsharing_record_id":358,"organisation_id":1540,"relation":"maintains","created_at":"2021-09-30T09:27:30.423Z","updated_at":"2021-09-30T09:27:30.423Z","grant_id":null,"is_lead":true,"saved_state":{"id":1540,"name":"Internet Engineering Task Force GeoJSON Working Group (IETF GeoJSON WG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"359","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T11:02:02.537Z","metadata":{"doi":"10.25504/FAIRsharing.2ndf9r","name":"PLOS Thesaurus","status":"ready","contacts":[{"contact_name":"PLOS Taxonomy Team","contact_email":"taxonomy@plos.org","contact_orcid":null}],"homepage":"https://github.com/PLOS/plos-thesaurus","citations":[],"identifier":359,"description":"The PLOS Thesaurus includes over 10,000 Subject Area terms covering the wide range of research topics included the PLOS journals. The terms are applied programmatically to publications to aid record search and discovery.","abbreviation":"PLOSTHES","support_links":[],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PLOSTHES","name":"PLOSTHES","portal":"BioPortal"}]},"legacy_ids":["bsg-001016","bsg-s001016"],"name":"FAIRsharing record for: PLOS Thesaurus","abbreviation":"PLOSTHES","url":"https://fairsharing.org/10.25504/FAIRsharing.2ndf9r","doi":"10.25504/FAIRsharing.2ndf9r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PLOS Thesaurus includes over 10,000 Subject Area terms covering the wide range of research topics included the PLOS journals. The terms are applied programmatically to publications to aid record search and discovery.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Publication"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2530,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"333","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-01T11:57:30.911Z","metadata":{"doi":"10.25504/FAIRsharing.vgw1m6","name":"Neuroscience Information Framework Standard Ontology","status":"ready","contacts":[{"contact_name":"Tom Gillespie","contact_email":"tgbugs@gmail.com","contact_orcid":"0000-0002-7509-4801"}],"homepage":"http://ontology.neuinfo.org","citations":[],"identifier":333,"description":"NIF Standard ontology (NIFSTD) is a core component of Neuroscience Information Framework (NIF) project (http://neuinfo.org), a semantically enhanced portal for accessing and integrating neuroscience data, tools and information. NIFSTD includes a set of modular ontologies that provide a comprehensive collection of terminologies to describe neuroscience data and resources.","abbreviation":"NIFSTD","year_creation":2008,"associated_tools":[{"url":"https://github.com/tgbugs/pyontutils","name":"pyontutils"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFSTD","name":"NIFSTD","portal":"BioPortal"}]},"legacy_ids":["bsg-002628","bsg-s002628"],"name":"FAIRsharing record for: Neuroscience Information Framework Standard Ontology","abbreviation":"NIFSTD","url":"https://fairsharing.org/10.25504/FAIRsharing.vgw1m6","doi":"10.25504/FAIRsharing.vgw1m6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIF Standard ontology (NIFSTD) is a core component of Neuroscience Information Framework (NIF) project (http://neuinfo.org), a semantically enhanced portal for accessing and integrating neuroscience data, tools and information. NIFSTD includes a set of modular ontologies that provide a comprehensive collection of terminologies to describe neuroscience data and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","Worldwide"],"publications":[{"id":2620,"pubmed_id":18975148,"title":"The NIFSTD and BIRNLex vocabularies: building comprehensive ontologies for neuroscience.","year":2008,"url":"http://doi.org/10.1007/s12021-008-9032-z","authors":"Bug WJ,Ascoli GA,Grethe JS,Gupta A,Fennema-Notestine C,Laird AR,Larson SD,Rubin D,Shepherd GM,Turner JA,Martone ME","journal":"Neuroinformatics","doi":"10.1007/s12021-008-9032-z","created_at":"2021-09-30T08:27:21.653Z","updated_at":"2021-09-30T08:27:21.653Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1258,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"334","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-22T12:40:24.902Z","metadata":{"doi":"10.25504/FAIRsharing.c9v5sz","name":"Pathway Terminology System","status":"deprecated","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de"}],"homepage":"http://bioportal.bioontology.org/ontologies/PTS","citations":[],"identifier":334,"description":"Pathwas terminology systems integrates biological Events and various Pathway types.","abbreviation":"PTS","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PTS","name":"PTS","portal":"BioPortal"}],"deprecation_date":"2022-07-21","deprecation_reason":"This resource has not been updated since 2015, and the only additional project page we can find reference to (http://scai.fraunhofer.de/PTS) is unavailable."},"legacy_ids":["bsg-000993","bsg-s000993"],"name":"FAIRsharing record for: Pathway Terminology System","abbreviation":"PTS","url":"https://fairsharing.org/10.25504/FAIRsharing.c9v5sz","doi":"10.25504/FAIRsharing.c9v5sz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pathwas terminology systems integrates biological Events and various Pathway types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"335","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T18:45:39.000Z","updated_at":"2022-07-20T12:45:47.194Z","metadata":{"doi":"10.25504/FAIRsharing.esxaaq","name":"Directory Interchange Format","status":"ready","contacts":[{"contact_name":"ESDIS Standards Office","contact_email":"eso-staff@lists.nasa.gov"}],"homepage":"https://earthdata.nasa.gov/esdis/eso/standards-and-references/directory-interchange-format-dif-standard","identifier":335,"description":"Directory Interchange Format (DIF) is a descriptive and standardized format for exchanging information about geospatial data sets. It includes elements focusing on instruments that capture data, temporal and spatial characteristics of the data, and projects with which the dataset is associated. From its inception in the late 1980’s as a way to document and exchange information on scientific data to its implementation in NASA's Global Change Master Directory (GCMD), the DIF has evolved to serve the user community in the discovery, access and use of Earth science and related data. GCMD metadata records are now maintained in the Common Metadata Repository (CMR), and the DIF is one of several supported formats for submitting metadata to CMR. The DIF, the ECHO metadata model, and the ISO 19115 standards for science metadata formed the basis for NASA's Unified Metadata Model (UMM) used by CMR.","abbreviation":"DIF","support_links":[{"url":"https://git.earthdata.nasa.gov/projects/EMFD/repos/dif-schemas/browse/10.x/Brief%20Guide%20DIF%2010_10.2%20update.pdf","name":"User's Guide","type":"Help documentation"}],"year_creation":1987},"legacy_ids":["bsg-000711","bsg-s000711"],"name":"FAIRsharing record for: Directory Interchange Format","abbreviation":"DIF","url":"https://fairsharing.org/10.25504/FAIRsharing.esxaaq","doi":"10.25504/FAIRsharing.esxaaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Directory Interchange Format (DIF) is a descriptive and standardized format for exchanging information about geospatial data sets. It includes elements focusing on instruments that capture data, temporal and spatial characteristics of the data, and projects with which the dataset is associated. From its inception in the late 1980’s as a way to document and exchange information on scientific data to its implementation in NASA's Global Change Master Directory (GCMD), the DIF has evolved to serve the user community in the discovery, access and use of Earth science and related data. GCMD metadata records are now maintained in the Common Metadata Repository (CMR), and the DIF is one of several supported formats for submitting metadata to CMR. The DIF, the ECHO metadata model, and the ISO 19115 standards for science metadata formed the basis for NASA's Unified Metadata Model (UMM) used by CMR.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Natural Science","Earth Science","Atmospheric Science","Oceanography"],"domains":["Resource metadata","Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5497,"fairsharing_record_id":335,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:27:29.407Z","updated_at":"2021-09-30T09:27:29.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5498,"fairsharing_record_id":335,"organisation_id":808,"relation":"maintains","created_at":"2021-09-30T09:27:29.433Z","updated_at":"2021-09-30T09:27:29.433Z","grant_id":null,"is_lead":true,"saved_state":{"id":808,"name":"Earth Science Data and Information System Project (ESDIS), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"527","type":"fairsharing_records","attributes":{"created_at":"2015-11-17T18:06:25.000Z","updated_at":"2022-07-20T09:33:04.041Z","metadata":{"doi":"10.25504/FAIRsharing.27w8k0","name":"The Unified Code for Units of Measure","status":"ready","contacts":[{"contact_name":"Gunther Schadow","contact_email":"schadow_g@regenstrief.iupui.edu"}],"homepage":"https://ucum.org/trac","citations":[],"identifier":527,"description":"The Unified Code for Units of Measure is a code system intended to include all units of measures being contemporarily used in international science, engineering, and business. The purpose is to facilitate unambiguous electronic communication of quantities together with their units. The focus is on electronic communication, as opposed to communication between humans. A typical application of The Unified Code for Units of Measure are electronic data interchange (EDI) protocols, but there is nothing that prevents it from being used in other types of machine communication.","abbreviation":"UCUM","support_links":[{"url":"https://ucum.nlm.nih.gov/example-UCUM-Codes-v1.4.pdf","name":"Examples of UCUM Codes","type":"Help documentation"}],"year_creation":1999,"associated_tools":[{"url":"https://ucum.nlm.nih.gov/ucum-lhc/","name":"ucum-lhc Javascript Library (NLM)"}]},"legacy_ids":["bsg-000626","bsg-s000626"],"name":"FAIRsharing record for: The Unified Code for Units of Measure","abbreviation":"UCUM","url":"https://fairsharing.org/10.25504/FAIRsharing.27w8k0","doi":"10.25504/FAIRsharing.27w8k0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Unified Code for Units of Measure is a code system intended to include all units of measures being contemporarily used in international science, engineering, and business. The purpose is to facilitate unambiguous electronic communication of quantities together with their units. The focus is on electronic communication, as opposed to communication between humans. A typical application of The Unified Code for Units of Measure are electronic data interchange (EDI) protocols, but there is nothing that prevents it from being used in other types of machine communication.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17501},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11034},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16990}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Data identity and mapping","Unit","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":858,"pubmed_id":10094068,"title":"Units of measure in clinical information systems.","year":1999,"url":"http://doi.org/10.1136/jamia.1999.0060151","authors":"Schadow G,McDonald CJ,Suico JG,Fohring U,Tolxdorff T","journal":"J Am Med Inform Assoc","doi":"10.1136/jamia.1999.0060151","created_at":"2021-09-30T08:23:54.798Z","updated_at":"2021-09-30T08:23:54.798Z"}],"licence_links":[{"licence_name":"UCUM Copyright Notice and License","licence_id":804,"licence_url":"https://ucum.org/trac/wiki/TermsOfUse","link_id":709,"relation":"undefined"}],"grants":[{"id":5818,"fairsharing_record_id":527,"organisation_id":2414,"relation":"maintains","created_at":"2021-09-30T09:27:40.052Z","updated_at":"2021-09-30T09:27:40.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2414,"name":"Regenstrief Institute, Inc, Indianapolis, Indiana, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5819,"fairsharing_record_id":527,"organisation_id":2843,"relation":"maintains","created_at":"2021-09-30T09:27:40.088Z","updated_at":"2022-05-23T12:15:25.210Z","grant_id":null,"is_lead":true,"saved_state":{"id":2843,"name":"The Unified Codes for Units of Measures Organization","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"528","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:18.000Z","updated_at":"2023-03-24T09:48:22.065Z","metadata":{"doi":"10.25504/FAIRsharing.yDJci5","name":"FAIR Metrics - Access Protocol","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://raw.githubusercontent.com/FAIRMetrics/Metrics/master/FM_A1.1","citations":[],"identifier":528,"description":"FM-A1.1 provides a metric for the nature and use limitations of the access protocol. Access to a resource may be limited by the specified communication protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource. To fulfil this metric, the following must be provided: i) A URL to the description of the protocol, ii) true/false as to whether the protocol is open source, iii) true/false as to whether the protocol is (royalty) free. This metric applies to part A1.1 of the FAIR Principles.","abbreviation":"FM-A1.1","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001347","bsg-s001347"],"name":"FAIRsharing record for: FAIR Metrics - Access Protocol","abbreviation":"FM-A1.1","url":"https://fairsharing.org/10.25504/FAIRsharing.yDJci5","doi":"10.25504/FAIRsharing.yDJci5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-A1.1 provides a metric for the nature and use limitations of the access protocol. Access to a resource may be limited by the specified communication protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource. To fulfil this metric, the following must be provided: i) A URL to the description of the protocol, ii) true/false as to whether the protocol is open source, iii) true/false as to whether the protocol is (royalty) free. This metric applies to part A1.1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1403,"relation":"undefined"}],"grants":[{"id":5822,"fairsharing_record_id":528,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:40.180Z","updated_at":"2021-09-30T09:27:40.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5820,"fairsharing_record_id":528,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:40.125Z","updated_at":"2021-09-30T09:27:40.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5821,"fairsharing_record_id":528,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:40.154Z","updated_at":"2021-09-30T09:27:40.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5823,"fairsharing_record_id":528,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:40.203Z","updated_at":"2021-09-30T09:27:40.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"529","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-08-30T19:47:50.593Z","metadata":{"doi":"10.25504/FAIRsharing.mgxgza","name":"Ctenophore Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/ctenophore-ontology","citations":[],"identifier":529,"description":"An anatomical and developmental ontology for ctenophores (Comb Jellies). Please note that, while available, this ontology has not been updated since 2016.","abbreviation":"CTENO","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTENO","name":"CTENO","portal":"BioPortal"},{"url":"https://github.com/obophenotype/ctenophore-ontology","name":"OBO Foundry - cteno","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000748","bsg-s000748"],"name":"FAIRsharing record for: Ctenophore Ontology","abbreviation":"CTENO","url":"https://fairsharing.org/10.25504/FAIRsharing.mgxgza","doi":"10.25504/FAIRsharing.mgxgza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An anatomical and developmental ontology for ctenophores (Comb Jellies). Please note that, while available, this ontology has not been updated since 2016.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":[],"taxonomies":["Ctenophora"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2773,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"531","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:08.518Z","metadata":{"doi":"10.25504/FAIRsharing.jmg2st","name":"Neuroscience Information Framework Cell","status":"ready","contacts":[{"contact_name":"Fahim Imam","contact_email":"curation@neuinfo.org"}],"homepage":"https://neuinfo.org/about/nifvocabularies","identifier":531,"description":"NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources.","abbreviation":"NIFCELL","support_links":[{"url":"http://blog.neuinfo.org","type":"Blog/News"},{"url":"https://neuinfo.org/about/help/401","type":"Frequently Asked Questions (FAQs)"},{"url":"https://neuinfo.org","type":"Help documentation"},{"url":"https://twitter.com/neuinfo","type":"Twitter"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFCELL","name":"NIFCELL","portal":"BioPortal"}]},"legacy_ids":["bsg-000124","bsg-s000124"],"name":"FAIRsharing record for: Neuroscience Information Framework Cell","abbreviation":"NIFCELL","url":"https://fairsharing.org/10.25504/FAIRsharing.jmg2st","doi":"10.25504/FAIRsharing.jmg2st","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Life Science","Neuroscience"],"domains":["Cell","Neuron","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5825,"fairsharing_record_id":531,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:40.261Z","updated_at":"2021-09-30T09:27:40.261Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5826,"fairsharing_record_id":531,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:40.286Z","updated_at":"2021-09-30T09:27:40.286Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11532,"fairsharing_record_id":531,"organisation_id":2144,"relation":"maintains","created_at":"2024-03-21T13:58:08.456Z","updated_at":"2024-03-21T13:58:08.456Z","grant_id":null,"is_lead":false,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"532","type":"fairsharing_records","attributes":{"created_at":"2016-01-25T02:38:46.000Z","updated_at":"2024-01-23T13:00:12.260Z","metadata":{"doi":"10.25504/FAIRsharing.y3mwym","name":"Numerical Markup Language","status":"ready","contacts":[{"contact_name":"NuML discussion group","contact_email":"numl-discuss@googlegroups.com"}],"homepage":"https://github.com/numl/numl","identifier":532,"description":"The Numerical Markup Language (NuML) (pronounce \"neumeul\" and not \"new em el\", that sounds like NewML) is a simple XML format to exchange multidimensional arrays of numbers to be used with model and simulation descriptions. NuML was initially developed as part of the Systems Biology Results Markup Language (SBRML).","abbreviation":"NuML","support_links":[{"url":"http://groups.google.com/group/numl-discuss/","name":"Discussion Mailing List","type":"Mailing list"}],"year_creation":2011,"associated_tools":[{"url":"https://github.com/NuML/NuML/tree/master/libnuml","name":"libNUML"}]},"legacy_ids":["bsg-000638","bsg-s000638"],"name":"FAIRsharing record for: Numerical Markup Language","abbreviation":"NuML","url":"https://fairsharing.org/10.25504/FAIRsharing.y3mwym","doi":"10.25504/FAIRsharing.y3mwym","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Numerical Markup Language (NuML) (pronounce \"neumeul\" and not \"new em el\", that sounds like NewML) is a simple XML format to exchange multidimensional arrays of numbers to be used with model and simulation descriptions. NuML was initially developed as part of the Systems Biology Results Markup Language (SBRML).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12064},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16942}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Biology","Computer Science","Systems Biology"],"domains":["Mathematical model","Reaction data","Kinetic model","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":11205,"fairsharing_record_id":532,"organisation_id":584,"relation":"associated_with","created_at":"2024-01-15T09:26:16.841Z","updated_at":"2024-01-15T09:26:16.841Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11206,"fairsharing_record_id":532,"organisation_id":2539,"relation":"maintains","created_at":"2024-01-15T09:26:16.851Z","updated_at":"2024-01-15T09:26:16.851Z","grant_id":null,"is_lead":true,"saved_state":{"id":2539,"name":"SED-ML editors","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"512","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-30T13:57:42.296Z","metadata":{"doi":"10.25504/FAIRsharing.6hna78","name":"Exposure Ontology","status":"ready","contacts":[{"contact_name":"Anne Thessen","contact_email":"annethessen@gmail.com","contact_orcid":null}],"homepage":"https://github.com/CTDbase/exposure-ontology","citations":[],"identifier":512,"description":"Exposure Ontology (ExO) is designed to facilitate the centralization and integration of exposure data to inform understanding of environmental health. ExO is intended to bridge the gap between exposure science and diverse environmental health disciplines including toxicology, epidemiology, disease surveillance, and epigenetics.","abbreviation":"ExO","support_links":[{"url":"https://github.com/CTDbase/exposure-ontology","name":"GitHub repository","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EXO","name":"EXO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/exo.html","name":"exo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002707","bsg-s002707"],"name":"FAIRsharing record for: Exposure Ontology","abbreviation":"ExO","url":"https://fairsharing.org/10.25504/FAIRsharing.6hna78","doi":"10.25504/FAIRsharing.6hna78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Exposure Ontology (ExO) is designed to facilitate the centralization and integration of exposure data to inform understanding of environmental health. ExO is intended to bridge the gap between exposure science and diverse environmental health disciplines including toxicology, epidemiology, disease surveillance, and epigenetics.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10855}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Epigenetics","Toxicology"],"domains":["Disease","Exposure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":898,"pubmed_id":22324457,"title":"Providing the missing link: the exposure science ontology ExO.","year":2012,"url":"http://doi.org/10.1021/es2033857","authors":"Mattingly CJ,McKone TE,Callahan MA,Blake JA,Hubal EA","journal":"Environ Sci Technol","doi":"10.1021/es2033857","created_at":"2021-09-30T08:23:59.221Z","updated_at":"2021-09-30T08:23:59.221Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3615,"relation":"applies_to_content"}],"grants":[{"id":5776,"fairsharing_record_id":512,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:38.752Z","updated_at":"2021-09-30T09:27:38.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11755,"fairsharing_record_id":512,"organisation_id":4358,"relation":"maintains","created_at":"2024-04-30T13:53:41.645Z","updated_at":"2024-04-30T13:53:41.645Z","grant_id":null,"is_lead":true,"saved_state":{"id":4358,"name":"North Carolina State University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"513","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2023-02-28T10:00:47.105Z","metadata":{"doi":"10.25504/FAIRsharing.j0fa1d","name":"Mouse Developmental Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Terry Hamayizu","contact_email":"Terry.Hayamizu@jax.org"}],"homepage":"https://www.informatics.jax.org/vocab/gxd/anatomy","citations":[],"identifier":513,"description":"The ontology of mouse developmental anatomy was originally developed by Jonathan Bard and his colleagues as part of the Edinburgh Mouse Atlas Project (EMAP) in order to provide a structured controlled vocabulary of stage-specific anatomical structures for the developing laboratory mouse.\n\nInitial versions listed anatomical entities for each developmental stage (Theiler Stages 1 through 26) separately. Stage-specific instances were presented as uniparental hierarchies organized solely using part-of relationships (i.e. as a strict partonomy). An ‘abstract’ (i.e. non-stage-specific) representation of the mouse developmental anatomy ontology was subsequently developed.\n\nThe mouse developmental anatomy ontology has been substantially extended and refined over many years in a collaborative effort between EMAP and the Gene Expression Database (GXD) project, part of the Mouse Genome Informatics (MGI) resource at The Jackson Laboratory. The ontology continues to be maintained and expanded by GXD.","abbreviation":"EMAPA","support_links":[{"url":"https://github.com/obophenotype/mouse-anatomy-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EMAPA","name":"EMAPA","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/emapa.html","name":"EMAPA in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000738","bsg-s000738"],"name":"FAIRsharing record for: Mouse Developmental Anatomy Ontology","abbreviation":"EMAPA","url":"https://fairsharing.org/10.25504/FAIRsharing.j0fa1d","doi":"10.25504/FAIRsharing.j0fa1d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of mouse developmental anatomy was originally developed by Jonathan Bard and his colleagues as part of the Edinburgh Mouse Atlas Project (EMAP) in order to provide a structured controlled vocabulary of stage-specific anatomical structures for the developing laboratory mouse.\n\nInitial versions listed anatomical entities for each developmental stage (Theiler Stages 1 through 26) separately. Stage-specific instances were presented as uniparental hierarchies organized solely using part-of relationships (i.e. as a strict partonomy). An ‘abstract’ (i.e. non-stage-specific) representation of the mouse developmental anatomy ontology was subsequently developed.\n\nThe mouse developmental anatomy ontology has been substantially extended and refined over many years in a collaborative effort between EMAP and the Gene Expression Database (GXD) project, part of the Mouse Genome Informatics (MGI) resource at The Jackson Laboratory. The ontology continues to be maintained and expanded by GXD.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":[],"taxonomies":["Mus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2653,"pubmed_id":23972281,"title":"EMAP/EMAPA ontology of mouse developmental anatomy: 2013 update.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-15","authors":"Hayamizu TF,Wicks MN,Davidson DR,Burger A,Ringwald M,Baldock RA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-15","created_at":"2021-09-30T08:27:25.797Z","updated_at":"2021-09-30T08:27:25.797Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3097,"relation":"applies_to_content"}],"grants":[{"id":10367,"fairsharing_record_id":513,"organisation_id":2792,"relation":"maintains","created_at":"2023-02-21T09:40:07.255Z","updated_at":"2023-02-21T09:40:07.255Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"514","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-01-07T20:53:38.699Z","metadata":{"doi":"10.25504/FAIRsharing.d62cjk","name":"Bilingual Ontology of Alzheimer's Disease and Related Diseases","status":"deprecated","contacts":[],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOAD","citations":[],"identifier":514,"description":"OntoAD is a bilingual (English-French) domain ontology for modeling knowledge about Alzheimer's Disease and Related Syndromes.","abbreviation":"ONTOAD","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOAD","name":"ONTOAD","portal":"BioPortal"}],"deprecation_date":"2022-01-07","deprecation_reason":"This resource has not been updated since 2013, and an active homepage cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000739","bsg-s000739"],"name":"FAIRsharing record for: Bilingual Ontology of Alzheimer's Disease and Related Diseases","abbreviation":"ONTOAD","url":"https://fairsharing.org/10.25504/FAIRsharing.d62cjk","doi":"10.25504/FAIRsharing.d62cjk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoAD is a bilingual (English-French) domain ontology for modeling knowledge about Alzheimer's Disease and Related Syndromes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Alzheimer’s disease"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"515","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-01-28T16:50:28.448Z","metadata":{"doi":"10.25504/FAIRsharing.vekcbe","name":"HIVOntologymain.owl","status":"deprecated","contacts":[{"contact_name":"Hanfei Bao","contact_email":"hanfeib@gmail.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/HIVO004","citations":[],"identifier":515,"description":"This ontology does not appear to have a project homepage, and complete metadata cannot be found. Please get in touch with us if you have any information.","abbreviation":"HIVO004","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HIVO004","name":"HIVO004","portal":"BioPortal"}],"deprecation_date":"2022-01-21","deprecation_reason":"This ontology does not appear to have a project homepage, and complete metadata cannot be found."},"legacy_ids":["bsg-000740","bsg-s000740"],"name":"FAIRsharing record for: HIVOntologymain.owl","abbreviation":"HIVO004","url":"https://fairsharing.org/10.25504/FAIRsharing.vekcbe","doi":"10.25504/FAIRsharing.vekcbe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology does not appear to have a project homepage, and complete metadata cannot be found. Please get in touch with us if you have any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine","Virology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"516","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:56.517Z","metadata":{"doi":"10.25504/FAIRsharing.294d6","name":"Graph Markup Language","status":"ready","contacts":[{"contact_name":"Ulrik Brandes","contact_email":"Ulrik.Brandes@uni-konstanz.de"}],"homepage":"http://graphml.graphdrawing.org/specification.html","identifier":516,"description":"GraphML is a comprehensive and easy-to-use file format for graphs. It consists of a language core to describe the structural properties of a graph and a flexible extension mechanism to add application-specific data.","abbreviation":"graphML","support_links":[{"url":"http://graphml.graphdrawing.org/primer/graphml-primer.html","name":"GraphML Primer","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-000286","bsg-s000286"],"name":"FAIRsharing record for: Graph Markup Language","abbreviation":"graphML","url":"https://fairsharing.org/10.25504/FAIRsharing.294d6","doi":"10.25504/FAIRsharing.294d6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GraphML is a comprehensive and easy-to-use file format for graphs. It consists of a language core to describe the structural properties of a graph and a flexible extension mechanism to add application-specific data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Graph"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":833,"relation":"undefined"}],"grants":[{"id":5778,"fairsharing_record_id":516,"organisation_id":1200,"relation":"maintains","created_at":"2021-09-30T09:27:38.801Z","updated_at":"2021-09-30T09:27:38.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":1200,"name":"GraphML Project Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"533","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:18:04.000Z","updated_at":"2022-11-01T11:57:55.414Z","metadata":{"doi":"10.25504/FAIRsharing.fsB7NK","name":"FAIR Metrics - Accessible Usage License","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_R1.1","citations":[],"identifier":533,"description":"FM-R1.1 is a metric concerned with the existence of a license document, for BOTH (independently) the data and its associated metadata, and the ability to retrieve those documents. A core aspect of data reusability is the ability to determine, unambiguously and with relative ease, the conditions under which (meta)data may be reused. Thus, FAIR data providers must make these terms openly available. This applies both to data (e.g. for the purpose of third-party integration with other data) and for metadata (e.g. for the purpose of third-party indexing or other administrative metrics). The IRI of the license (e.g. its URL) for the data license and for the metadata license must be provided. This metric applies to part R1.1 of the FAIR Principles.","abbreviation":"FM-R1.1","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001353","bsg-s001353"],"name":"FAIRsharing record for: FAIR Metrics - Accessible Usage License","abbreviation":"FM-R1.1","url":"https://fairsharing.org/10.25504/FAIRsharing.fsB7NK","doi":"10.25504/FAIRsharing.fsB7NK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-R1.1 is a metric concerned with the existence of a license document, for BOTH (independently) the data and its associated metadata, and the ability to retrieve those documents. A core aspect of data reusability is the ability to determine, unambiguously and with relative ease, the conditions under which (meta)data may be reused. Thus, FAIR data providers must make these terms openly available. This applies both to data (e.g. for the purpose of third-party integration with other data) and for metadata (e.g. for the purpose of third-party indexing or other administrative metrics). The IRI of the license (e.g. its URL) for the data license and for the metadata license must be provided. This metric applies to part R1.1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1404,"relation":"undefined"}],"grants":[{"id":5828,"fairsharing_record_id":533,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:40.338Z","updated_at":"2021-09-30T09:27:40.338Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5827,"fairsharing_record_id":533,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:40.313Z","updated_at":"2021-09-30T09:27:40.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5829,"fairsharing_record_id":533,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:40.362Z","updated_at":"2021-09-30T09:27:40.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5830,"fairsharing_record_id":533,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:40.387Z","updated_at":"2021-09-30T09:27:40.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"535","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-17T09:07:05.975Z","metadata":{"doi":"10.25504/FAIRsharing.vppyga","name":"Non-coding RNA Ontology","status":"ready","contacts":[{"contact_name":"Jingshan Huang","contact_email":"huang@southalabama.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/NCRO","citations":[],"identifier":535,"description":"The NCRO is a reference ontology in the non-coding RNA (ncRNA) field, aiming to provide a common set of terms and relations that will facilitate the curation, analysis, exchange, sharing, and management of ncRNA structural, functional, and sequence data.","abbreviation":"NCRO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCRO","name":"Bioportal: NCRO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/ncro","name":"OLS: ncro","portal":"OLS"}]},"legacy_ids":["bsg-000752","bsg-s000752"],"name":"FAIRsharing record for: Non-coding RNA Ontology","abbreviation":"NCRO","url":"https://fairsharing.org/10.25504/FAIRsharing.vppyga","doi":"10.25504/FAIRsharing.vppyga","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCRO is a reference ontology in the non-coding RNA (ncRNA) field, aiming to provide a common set of terms and relations that will facilitate the curation, analysis, exchange, sharing, and management of ncRNA structural, functional, and sequence data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Non-coding RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3803,"pubmed_id":null,"title":"The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology","year":2016,"url":"http://dx.doi.org/10.1186/s13326-016-0066-0","authors":"Huang, Jingshan; Eilbeck, Karen; Smith, Barry; Blake, Judith A.; Dou, Dejing; Huang, Weili; Natale, Darren A.; Ruttenberg, Alan; Huan, Jun; Zimmermann, Michael T.; Jiang, Guoqian; Lin, Yu; Wu, Bin; Strachan, Harrison J.; He, Yongqun; Zhang, Shaojie; Wang, Xiaowei; Liu, Zixing; Borchert, Glen M.; Tan, Ming; ","journal":"J Biomed Semant","doi":"10.1186/s13326-016-0066-0","created_at":"2023-03-17T09:03:42.976Z","updated_at":"2023-03-17T09:03:42.976Z"}],"licence_links":[],"grants":[{"id":10425,"fairsharing_record_id":535,"organisation_id":3121,"relation":"undefined","created_at":"2023-03-17T09:04:35.617Z","updated_at":"2023-03-17T09:04:35.617Z","grant_id":null,"is_lead":false,"saved_state":{"id":3121,"name":"University of South Alabama, USA","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"536","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-01-06T10:27:01.172Z","metadata":{"doi":"10.25504/FAIRsharing.gd8hqn","name":"Molgula occidentalis Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself.communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"http://www.aniseed.cnrs.fr/","citations":[],"identifier":536,"description":"The first ontology describing the anatomy and the development of Molgula occidentalis.","abbreviation":"MOOCCIADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOOCCIADO","name":"MOOCCIADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000753","bsg-s000753"],"name":"FAIRsharing record for: Molgula occidentalis Anatomy and Development Ontology","abbreviation":"MOOCCIADO","url":"https://fairsharing.org/10.25504/FAIRsharing.gd8hqn","doi":"10.25504/FAIRsharing.gd8hqn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Molgula occidentalis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Molgula occidentalis"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"537","type":"fairsharing_records","attributes":{"created_at":"2021-01-22T11:15:13.000Z","updated_at":"2022-07-20T12:22:08.024Z","metadata":{"name":"Ontology of the amphioxus anatomy and life cycle","status":"in_development","contacts":[{"contact_name":"Hector Escriva","contact_email":"hector.escriva@obs-banyuls.fr","contact_orcid":"0000-0001-7577-5028"}],"homepage":"https://github.com/EBISPOT/amphx_ontology","identifier":537,"description":"The ontology of the amphioxus anatomy and life cycle is the first ontology for the development and anatomy of Amphioxus (Branchiostoma lanceolatum).","abbreviation":"AMPHX","year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AMPHX","name":"AMPHX","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/amphx.html","name":"amphx","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001582","bsg-s001582"],"name":"FAIRsharing record for: Ontology of the amphioxus anatomy and life cycle","abbreviation":"AMPHX","url":"https://fairsharing.org/fairsharing_records/537","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of the amphioxus anatomy and life cycle is the first ontology for the development and anatomy of Amphioxus (Branchiostoma lanceolatum).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Branchiostoma lanceolatum"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":5831,"fairsharing_record_id":537,"organisation_id":261,"relation":"maintains","created_at":"2021-09-30T09:27:40.413Z","updated_at":"2021-09-30T09:27:40.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":261,"name":"Biologie Intégrative des Organismes Marins, Observatoire Océanologique, CNRS, Banyuls-sur-Mer, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"507","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:27.000Z","updated_at":"2024-03-21T13:58:59.978Z","metadata":{"doi":"10.25504/FAIRsharing.vnfaxd","name":"LINCS Pilot Phase 1 Metadata Standards: Other Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":507,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories.","abbreviation":"LINCS 1: Other Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_OtherReagents_Metadata_Release_Nov-07-12.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Other Reagents standard (https://biosharing.org/bsg-s000658) and as such has been superseded by this standard."},"legacy_ids":["bsg-000661","bsg-s000661"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Other Reagents","abbreviation":"LINCS 1: Other Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.vnfaxd","doi":"10.25504/FAIRsharing.vnfaxd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11895}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5769,"fairsharing_record_id":507,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.473Z","updated_at":"2021-09-30T09:27:38.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11567,"fairsharing_record_id":507,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:59.895Z","updated_at":"2024-03-21T13:58:59.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"508","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:42.000Z","updated_at":"2024-03-21T13:59:00.327Z","metadata":{"doi":"10.25504/FAIRsharing.5gw25t","name":"LINCS Pilot Phase 1 Metadata Standards: Protein Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":508,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. A standardized description of protein reagents is critical to link results of different LINCS assay types.","abbreviation":"LINCS 1: Protein Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_ProteinReagents_Metadata_Release_Jul-31-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Protein Reagents standard (https://biosharing.org/bsg-s000656) and as such has been superseded by this standard."},"legacy_ids":["bsg-000666","bsg-s000666"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Protein Reagents","abbreviation":"LINCS 1: Protein Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.5gw25t","doi":"10.25504/FAIRsharing.5gw25t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. A standardized description of protein reagents is critical to link results of different LINCS assay types.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11894}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5771,"fairsharing_record_id":508,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.548Z","updated_at":"2021-09-30T09:27:38.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11568,"fairsharing_record_id":508,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:00.157Z","updated_at":"2024-03-21T13:59:00.157Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"509","type":"fairsharing_records","attributes":{"created_at":"2021-01-11T11:46:38.000Z","updated_at":"2022-07-20T09:36:05.214Z","metadata":{"doi":"10.25504/FAIRsharing.db1fb2","name":"Observations Data Model 2 Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Jeffery S. Horsburgh","contact_email":"jeff.horsburgh@usu.edu"}],"homepage":"http://vocabulary.odm2.org/","citations":[],"identifier":509,"description":"Version 2 of the Observations Data Model (ODM2) has several controlled vocabularies. This web page was developed to promote consistency between different instances of ODM2 through a community moderated system for managing the master controlled vocabularies. This web page displays the master controlled vocabulary entries and allows you to request additions or changes to these. You may then use these terms in an ODM2 database or in files that are intended to be interoperable with ODM2.","abbreviation":"ODM2 CV","support_links":[{"url":"https://github.com/ODM2/ODM2ControlledVocabularies","name":"GitHub Project","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-001574","bsg-s001574"],"name":"FAIRsharing record for: Observations Data Model 2 Controlled Vocabulary","abbreviation":"ODM2 CV","url":"https://fairsharing.org/10.25504/FAIRsharing.db1fb2","doi":"10.25504/FAIRsharing.db1fb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Version 2 of the Observations Data Model (ODM2) has several controlled vocabularies. This web page was developed to promote consistency between different instances of ODM2 through a community moderated system for managing the master controlled vocabularies. This web page displays the master controlled vocabulary entries and allows you to request additions or changes to these. You may then use these terms in an ODM2 database or in files that are intended to be interoperable with ODM2.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12132}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geochemistry","Hydrogeology","Geology","Biodiversity","Oceanography","Hydrology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5772,"fairsharing_record_id":509,"organisation_id":2225,"relation":"maintains","created_at":"2021-09-30T09:27:38.587Z","updated_at":"2021-09-30T09:27:38.587Z","grant_id":null,"is_lead":true,"saved_state":{"id":2225,"name":"ODM2 Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5773,"fairsharing_record_id":509,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:38.618Z","updated_at":"2021-09-30T09:31:34.727Z","grant_id":1233,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1332257","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8450,"fairsharing_record_id":509,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:41.534Z","updated_at":"2021-09-30T09:32:41.581Z","grant_id":1735,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1224638","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"510","type":"fairsharing_records","attributes":{"created_at":"2020-05-28T09:48:41.000Z","updated_at":"2022-07-20T12:22:07.535Z","metadata":{"doi":"10.25504/FAIRsharing.pyhdJS","name":"BioTopLite 2","status":"ready","contacts":[{"contact_name":"Stefan Schulz","contact_email":"stefan.schulz@medunigraz.at"}],"homepage":"http://biotopontology.github.io/","citations":[{"publication_id":990}],"identifier":510,"description":"BioTopLite 2 (BTL2) is a simplified, high-level version of BioTop, a top-domain ontology that provides definitions for the foundational entities of biomedicine. BioTop imports BTL2 as its upper-level ontology.","abbreviation":"BTL2","support_links":[{"url":"https://github.com/BioTopOntology/biotop/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-001486","bsg-s001486"],"name":"FAIRsharing record for: BioTopLite 2","abbreviation":"BTL2","url":"https://fairsharing.org/10.25504/FAIRsharing.pyhdJS","doi":"10.25504/FAIRsharing.pyhdJS","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioTopLite 2 (BTL2) is a simplified, high-level version of BioTop, a top-domain ontology that provides definitions for the foundational entities of biomedicine. BioTop imports BTL2 as its upper-level ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":990,"pubmed_id":null,"title":"BioTopLite: An Upper Level Ontology for the Life Sciences. Evolution, Design and Application","year":2013,"url":"http://biotopontology.github.io/papers/Schulz,%20Boeker%20-%202013%20-%20BioTopLite%20An%20Upper%20Level%20Ontology%20for%20the%20Life%20Sciences.%20Evolution,%20Design%20and%20Application.pdf","authors":"Stefan Schulz, Martin Boeker","journal":"Furbach U, Staab S, eds. Informatik 2013. Koblenz: IOS Press; 2013.","doi":null,"created_at":"2021-09-30T08:24:09.580Z","updated_at":"2021-09-30T08:24:09.580Z"},{"id":2982,"pubmed_id":28423831,"title":"The BioTop Family of Upper Level Ontological Resources for Biomedicine.","year":2017,"url":"https://www.ncbi.nlm.nih.gov/pubmed/28423831","authors":"Schulz S,Boeker M,Martinez-Costa C","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:28:07.441Z","updated_at":"2021-09-30T08:28:07.441Z"}],"licence_links":[],"grants":[{"id":5774,"fairsharing_record_id":510,"organisation_id":1386,"relation":"maintains","created_at":"2021-09-30T09:27:38.682Z","updated_at":"2021-09-30T09:27:38.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":1386,"name":"Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5775,"fairsharing_record_id":510,"organisation_id":722,"relation":"maintains","created_at":"2021-09-30T09:27:38.720Z","updated_at":"2021-09-30T09:27:38.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":722,"name":"Department of Medical Biometry and Medical Informatics, University of Freiburg, Freiburg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"511","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-01-05T14:18:54.365Z","metadata":{"doi":"10.25504/FAIRsharing.xmmsmr","name":"Epigenome Ontology","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunhe@med.umich.edu"}],"homepage":"https://github.com/EGO-ontology","citations":[],"identifier":511,"description":"The Epigenome Ontology (EGO) a biomedical ontology for integrative epigenome knowledge representation and data analysis.","abbreviation":"EGO","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EGO","name":"EGO","portal":"BioPortal"}]},"legacy_ids":["bsg-000735","bsg-s000735"],"name":"FAIRsharing record for: Epigenome Ontology","abbreviation":"EGO","url":"https://fairsharing.org/10.25504/FAIRsharing.xmmsmr","doi":"10.25504/FAIRsharing.xmmsmr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epigenome Ontology (EGO) a biomedical ontology for integrative epigenome knowledge representation and data analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Epigenomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2548,"relation":"applies_to_content"}],"grants":[{"id":8670,"fairsharing_record_id":511,"organisation_id":1230,"relation":"maintains","created_at":"2022-01-05T14:08:10.127Z","updated_at":"2022-01-05T14:08:10.127Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"519","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-12-23T08:40:57.631Z","metadata":{"doi":"10.25504/FAIRsharing.hw5gr6","name":"Regional Healthcare System Interoperability and Information Exchange Measurement Ontology","status":"ready","contacts":[{"contact_name":"Lingkai Zhu","contact_email":"l49zhu@uwaterloo.ca"}],"homepage":"http://bioportal.bioontology.org/ontologies/HEIO","citations":[],"identifier":519,"description":"The purpose of this ontology is to develop a model for regional healthcare system interoperability and information exchange quantification (measured by the electronic health information exchange (eHIE) indicator). The eHIE is hypothesized as a leading measure of regional healthcare system integration. A publication associated with this ontology is currently under review.","abbreviation":"HEIO","support_links":[{"url":"jmcmurray@wlu.ca","name":"Josephine McMurray","type":"Support email"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HEIO","name":"HEIO","portal":"BioPortal"}]},"legacy_ids":["bsg-000734","bsg-s000734"],"name":"FAIRsharing record for: Regional Healthcare System Interoperability and Information Exchange Measurement Ontology","abbreviation":"HEIO","url":"https://fairsharing.org/10.25504/FAIRsharing.hw5gr6","doi":"10.25504/FAIRsharing.hw5gr6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of this ontology is to develop a model for regional healthcare system interoperability and information exchange quantification (measured by the electronic health information exchange (eHIE) indicator). The eHIE is hypothesized as a leading measure of regional healthcare system integration. A publication associated with this ontology is currently under review.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Data Management","Medical Informatics"],"domains":["Hospital"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"520","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:38.059Z","metadata":{"doi":"10.25504/FAIRsharing.8eh6er","name":"Minimal Information for Mouse Phenotyping Procedures","status":"in_development","contacts":[{"contact_name":"IMPC","contact_email":"wranglers@mousephenotype.org"}],"homepage":"http://www.mousephenotype.org/impress","identifier":520,"description":"MIMPP is a reporting guideline for the minimum information that should be reported about a mouse phenotyping procedure to enable unambiguous interpretation and comparison of the data and to allow the data to be shared through communal resources.","abbreviation":"MIMPP","year_creation":2007},"legacy_ids":["bsg-000192","bsg-s000192"],"name":"FAIRsharing record for: Minimal Information for Mouse Phenotyping Procedures","abbreviation":"MIMPP","url":"https://fairsharing.org/10.25504/FAIRsharing.8eh6er","doi":"10.25504/FAIRsharing.8eh6er","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIMPP is a reporting guideline for the minimum information that should be reported about a mouse phenotyping procedure to enable unambiguous interpretation and comparison of the data and to allow the data to be shared through communal resources.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11605},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12107}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Assay","Phenotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2502,"pubmed_id":17436037,"title":"Mouse Phenotype Database Integration Consortium: integration [corrected] of mouse phenome data resources.","year":2007,"url":"http://doi.org/10.1007/s00335-007-9004-x","authors":"Hancock JM,Adams NC,Aidinis V,Blake A,Bogue M,Brown SD,Chesler EJ,Davidson D,Duran C,Eppig JT,Gailus-Durner V,Gates H,Gkoutos GV,Greenaway S,Hrabe de Angelis M,Kollias G,Leblanc S,Lee K,Lengger C,Maier H,Mallon AM,Masuya H,Melvin DG,Muller W,Parkinson H,Proctor G,Reuveni E,Schofield P,Shukla A,Smith C,Toyoda T,Vasseur L,Wakana S,Walling A,White J,Wood J,Zouberakis M","journal":"Mamm Genome","doi":"10.1007/s00335-007-9004-x","created_at":"2021-09-30T08:27:06.977Z","updated_at":"2021-09-30T08:27:06.977Z"}],"licence_links":[],"grants":[{"id":5783,"fairsharing_record_id":520,"organisation_id":2354,"relation":"funds","created_at":"2021-09-30T09:27:38.926Z","updated_at":"2021-09-30T09:32:31.630Z","grant_id":1660,"is_lead":false,"saved_state":{"id":2354,"name":"PRIME, European Commission","grant":"LSHG-CT-2005-005283","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5781,"fairsharing_record_id":520,"organisation_id":1501,"relation":"maintains","created_at":"2021-09-30T09:27:38.876Z","updated_at":"2021-09-30T09:27:38.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":1501,"name":"International Mouse Phenotyping Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5782,"fairsharing_record_id":520,"organisation_id":896,"relation":"funds","created_at":"2021-09-30T09:27:38.901Z","updated_at":"2021-09-30T09:32:32.963Z","grant_id":1669,"is_lead":false,"saved_state":{"id":896,"name":"EUMORPHIA, European Commission","grant":"QLG2-CT-2002-00930","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"521","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:07:54.000Z","updated_at":"2022-04-11T12:07:34.365Z","metadata":{"doi":"10.25504/FAIRsharing.3mtaee","name":"Open Archives Initiative Object Reuse and Exchange","status":"ready","contacts":[{"contact_email":"openarchives-l@cornell.edu"}],"homepage":"http://www.openarchives.org/ore/","identifier":521,"description":"Open Archives Initiative develops and promotes interoperability standards that aim to facilitate the efficient dissemination of content; OAI has its roots in the open access and institutional repository movements. The OAI-ORE is a standard for the description and exchange of compound digital objects (e.g. distributed resources with multiple media types including text, images, data, and video), to expose the rich content in these aggregations to applications that support authoring, deposit, exchange, visualization, reuse, and preservation. The intent of the effort is to develop standards that generalize across all web-based information including the increasing popular social networks of “web 2.0”.","abbreviation":"OAI-ORE","support_links":[{"url":"http://www.openarchives.org/ore/1.0/primer","name":"OAI-ORE Primer","type":"Help documentation"},{"url":"http://www.openarchives.org/ore/1.0/tools","name":"Tools and Additional Resources","type":"Help documentation"},{"url":"http://www.openarchives.org/ore/community/","name":"OAI-ORE Community Information","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000703","bsg-s000703"],"name":"FAIRsharing record for: Open Archives Initiative Object Reuse and Exchange","abbreviation":"OAI-ORE","url":"https://fairsharing.org/10.25504/FAIRsharing.3mtaee","doi":"10.25504/FAIRsharing.3mtaee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Archives Initiative develops and promotes interoperability standards that aim to facilitate the efficient dissemination of content; OAI has its roots in the open access and institutional repository movements. The OAI-ORE is a standard for the description and exchange of compound digital objects (e.g. distributed resources with multiple media types including text, images, data, and video), to expose the rich content in these aggregations to applications that support authoring, deposit, exchange, visualization, reuse, and preservation. The intent of the effort is to develop standards that generalize across all web-based information including the increasing popular social networks of “web 2.0”.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Social Science","Social and Behavioural Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5784,"fairsharing_record_id":521,"organisation_id":2512,"relation":"maintains","created_at":"2021-09-30T09:27:38.951Z","updated_at":"2021-09-30T09:27:38.951Z","grant_id":null,"is_lead":false,"saved_state":{"id":2512,"name":"School of Information, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5789,"fairsharing_record_id":521,"organisation_id":95,"relation":"funds","created_at":"2021-09-30T09:27:39.077Z","updated_at":"2021-09-30T09:27:39.077Z","grant_id":null,"is_lead":false,"saved_state":{"id":95,"name":"Andrew W. Mellon Foundation, New York, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5787,"fairsharing_record_id":521,"organisation_id":761,"relation":"maintains","created_at":"2021-09-30T09:27:39.027Z","updated_at":"2021-09-30T09:27:39.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":761,"name":"Digital Library Research \u0026 Prototyping, Los Alamos National Laboratory, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5786,"fairsharing_record_id":521,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:39.001Z","updated_at":"2021-09-30T09:29:37.495Z","grant_id":331,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IIS-9817416","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5788,"fairsharing_record_id":521,"organisation_id":613,"relation":"maintains","created_at":"2021-09-30T09:27:39.051Z","updated_at":"2021-09-30T09:27:39.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":613,"name":"Cornell University Library, Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5790,"fairsharing_record_id":521,"organisation_id":542,"relation":"funds","created_at":"2021-09-30T09:27:39.109Z","updated_at":"2021-09-30T09:27:39.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":542,"name":"Coalition for Networked Information","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5791,"fairsharing_record_id":521,"organisation_id":760,"relation":"funds","created_at":"2021-09-30T09:27:39.135Z","updated_at":"2021-09-30T09:27:39.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":760,"name":"Digital Library Federation","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8041,"fairsharing_record_id":521,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:36.395Z","updated_at":"2021-09-30T09:30:36.441Z","grant_id":787,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IIS-0430906","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9379,"fairsharing_record_id":521,"organisation_id":54,"relation":"funds","created_at":"2022-04-11T12:07:34.352Z","updated_at":"2022-04-11T12:07:34.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":54,"name":"Alfred P. Sloan Foundation, New York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"525","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:01.407Z","metadata":{"doi":"10.25504/FAIRsharing.vttygv","name":"BEDgraph","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bedgraph.html","identifier":525,"description":"The bedGraph format allows display of continuous-valued data in track format. This display type is useful for probability scores and transcriptome data. This track type is similar to the wiggle (WIG) format, but unlike the wiggle format, data exported in the bedGraph format are preserved in their original state.","abbreviation":"BEDgraph","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000288","bsg-s000288"],"name":"FAIRsharing record for: BEDgraph","abbreviation":"BEDgraph","url":"https://fairsharing.org/10.25504/FAIRsharing.vttygv","doi":"10.25504/FAIRsharing.vttygv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bedGraph format allows display of continuous-valued data in track format. This display type is useful for probability scores and transcriptome data. This track type is similar to the wiggle (WIG) format, but unlike the wiggle format, data exported in the bedGraph format are preserved in their original state.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12503}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Life Science","Comparative Genomics"],"domains":["DNA sequence data","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1709,"pubmed_id":24867943,"title":"CWig: compressed representation of Wiggle/BedGraph format.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu330","authors":"Huy Hoang D,Sung WK","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu330","created_at":"2021-09-30T08:25:31.504Z","updated_at":"2021-09-30T08:25:31.504Z"}],"licence_links":[],"grants":[{"id":5817,"fairsharing_record_id":525,"organisation_id":407,"relation":"maintains","created_at":"2021-09-30T09:27:39.994Z","updated_at":"2021-09-30T09:27:39.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":407,"name":"Center for Biomolecular Science and Enginnering (CBSE), University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"526","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-01-08T11:31:57.102Z","metadata":{"doi":"10.25504/FAIRsharing.9te3ev","name":"The Prescription of Drugs Ontology","status":"ready","contacts":[{"contact_name":"Ryeyan Taseen","contact_email":"ryeyan.taseen@gmail.com"}],"homepage":"https://github.com/OpenLHS/PDRO","identifier":526,"description":"PDRO is a realist ontology that aims to represent the domain of drug prescriptions. Such an ontology is currently missing in the OBOFoundry and is highly relevant to the domains of existing ontologies like DRON, OMRSE and OAE. PDRO’s central focus is the structure of a drug prescription, which is represented as a mereology of informational entities. Our current use cases are (1) refining this structure (e.g., adding closure axioms, cardinality, datatype bindings, etc) for prospectively standardizing local electronic prescriptions and (2) annotating prescription data of differing EHRs for detecting inappropriate prescriptions using a central semantic framework. Future ontological work will include aligning PDRO more closely with the Document Acts Ontology.","abbreviation":"PDRO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDRO","name":"PDRO","portal":"BioPortal"}]},"legacy_ids":["bsg-000775","bsg-s000775"],"name":"FAIRsharing record for: The Prescription of Drugs Ontology","abbreviation":"PDRO","url":"https://fairsharing.org/10.25504/FAIRsharing.9te3ev","doi":"10.25504/FAIRsharing.9te3ev","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDRO is a realist ontology that aims to represent the domain of drug prescriptions. Such an ontology is currently missing in the OBOFoundry and is highly relevant to the domains of existing ontologies like DRON, OMRSE and OAE. PDRO’s central focus is the structure of a drug prescription, which is represented as a mereology of informational entities. Our current use cases are (1) refining this structure (e.g., adding closure axioms, cardinality, datatype bindings, etc) for prospectively standardizing local electronic prescriptions and (2) annotating prescription data of differing EHRs for detecting inappropriate prescriptions using a central semantic framework. Future ontological work will include aligning PDRO more closely with the Document Acts Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Primary Health Care"],"domains":["Drug"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2563,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"523","type":"fairsharing_records","attributes":{"created_at":"2021-06-09T12:24:45.000Z","updated_at":"2024-03-20T11:05:36.139Z","metadata":{"doi":"10.25504/FAIRsharing.fc1207","name":"Recommended Metadata for Biological Images","status":"ready","contacts":[{"contact_name":"REMBI General Contact","contact_email":"rembi@ebi.ac.uk"}],"homepage":"https://doi.org/10.1038/s41592-021-01166-8","citations":[{"doi":"10.1038/s41592-021-01166-8","pubmed_id":34021280,"publication_id":1663}],"identifier":523,"description":"The Recommended Metadata for Biological Images (REMBI) are a set of guidelines developed by the bioimaging community as a framework for discussing different aspects of useful sharing of imaging data. In general, REMBI provides a way to explain how your images were generated, providing enough context to allow others to interpret them without reference to external sources. ","abbreviation":"REMBI","support_links":[{"url":"https://www.ebi.ac.uk/about/news/announcements/REMBI-launch","name":"About REMBI Launch","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/bioimage-archive/rembi-help-examples/","name":"Study Component Guidance at BioImage Archive","type":"Help documentation"}],"year_creation":2021},"legacy_ids":["bsg-001615","bsg-s001615"],"name":"FAIRsharing record for: Recommended Metadata for Biological Images","abbreviation":"REMBI","url":"https://fairsharing.org/10.25504/FAIRsharing.fc1207","doi":"10.25504/FAIRsharing.fc1207","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Recommended Metadata for Biological Images (REMBI) are a set of guidelines developed by the bioimaging community as a framework for discussing different aspects of useful sharing of imaging data. In general, REMBI provides a way to explain how your images were generated, providing enough context to allow others to interpret them without reference to external sources. ","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18241},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15893}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Computational Biology","Biology"],"domains":["Bioimaging","Microscopy","Light microscopy","Electron microscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1663,"pubmed_id":34021280,"title":"REMBI: Recommended Metadata for Biological Images-enabling reuse of microscopy data in biology.","year":2021,"url":"http://doi.org/10.1038/s41592-021-01166-8","authors":"Sarkans U,Chiu W,Collinson L et al.","journal":"Nat Methods","doi":"10.1038/s41592-021-01166-8","created_at":"2021-09-30T08:25:26.261Z","updated_at":"2021-09-30T08:25:26.261Z"}],"licence_links":[],"grants":[{"id":5793,"fairsharing_record_id":523,"organisation_id":3089,"relation":"maintains","created_at":"2021-09-30T09:27:39.186Z","updated_at":"2021-09-30T09:27:39.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":3089,"name":"University of Massachusetts Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5796,"fairsharing_record_id":523,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:39.259Z","updated_at":"2021-09-30T09:27:39.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5799,"fairsharing_record_id":523,"organisation_id":2443,"relation":"maintains","created_at":"2021-09-30T09:27:39.335Z","updated_at":"2021-09-30T09:27:39.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":2443,"name":"RIKEN Center for Biosystems Dynamics Research (BDR), RIKEN, Hyogo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5801,"fairsharing_record_id":523,"organisation_id":1584,"relation":"maintains","created_at":"2021-09-30T09:27:39.385Z","updated_at":"2021-09-30T09:27:39.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":1584,"name":"Janssen, Belgium","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5804,"fairsharing_record_id":523,"organisation_id":3080,"relation":"maintains","created_at":"2021-09-30T09:27:39.460Z","updated_at":"2021-09-30T09:27:39.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":3080,"name":"University of Leuven (KU Leuven), Leuven, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5807,"fairsharing_record_id":523,"organisation_id":1450,"relation":"maintains","created_at":"2021-09-30T09:27:39.536Z","updated_at":"2021-09-30T09:27:39.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":1450,"name":"Instituto Gulbenkian de Ciencia Oeiras, Lisboa, Portugal","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5810,"fairsharing_record_id":523,"organisation_id":758,"relation":"maintains","created_at":"2021-09-30T09:27:39.616Z","updated_at":"2021-09-30T09:27:39.616Z","grant_id":null,"is_lead":false,"saved_state":{"id":758,"name":"Diamond Light Source, Harwell Science and Innovation Campus, Harwell, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5813,"fairsharing_record_id":523,"organisation_id":492,"relation":"maintains","created_at":"2021-09-30T09:27:39.784Z","updated_at":"2021-09-30T09:27:39.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":492,"name":"Chan Zuckerberg Initiative, Redwood City, CA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5792,"fairsharing_record_id":523,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:27:39.159Z","updated_at":"2021-09-30T09:27:39.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5794,"fairsharing_record_id":523,"organisation_id":3049,"relation":"maintains","created_at":"2021-09-30T09:27:39.209Z","updated_at":"2021-09-30T09:27:39.209Z","grant_id":null,"is_lead":false,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5795,"fairsharing_record_id":523,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:27:39.235Z","updated_at":"2021-09-30T09:27:39.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5797,"fairsharing_record_id":523,"organisation_id":2879,"relation":"maintains","created_at":"2021-09-30T09:27:39.286Z","updated_at":"2021-09-30T09:27:39.286Z","grant_id":null,"is_lead":false,"saved_state":{"id":2879,"name":"Turku BioImaging, University of Turku and Åbo Akademi University, Turku, Finland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5798,"fairsharing_record_id":523,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:27:39.309Z","updated_at":"2021-09-30T09:27:39.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5800,"fairsharing_record_id":523,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:39.359Z","updated_at":"2021-09-30T09:27:39.359Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5802,"fairsharing_record_id":523,"organisation_id":1638,"relation":"maintains","created_at":"2021-09-30T09:27:39.410Z","updated_at":"2021-09-30T09:27:39.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":1638,"name":"King's College London, London, United Kingdom","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5803,"fairsharing_record_id":523,"organisation_id":1046,"relation":"maintains","created_at":"2021-09-30T09:27:39.435Z","updated_at":"2021-09-30T09:27:39.435Z","grant_id":null,"is_lead":false,"saved_state":{"id":1046,"name":"Francis Crick Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5805,"fairsharing_record_id":523,"organisation_id":2618,"relation":"maintains","created_at":"2021-09-30T09:27:39.485Z","updated_at":"2021-09-30T09:27:39.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2618,"name":"SPT Labtech Ltd, Melbourn, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5806,"fairsharing_record_id":523,"organisation_id":394,"relation":"maintains","created_at":"2021-09-30T09:27:39.510Z","updated_at":"2021-09-30T09:27:39.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":394,"name":"Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5808,"fairsharing_record_id":523,"organisation_id":375,"relation":"maintains","created_at":"2021-09-30T09:27:39.560Z","updated_at":"2021-09-30T09:27:39.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":375,"name":"Carl Zeiss Microscopy GmbH, Jena, Germany","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5809,"fairsharing_record_id":523,"organisation_id":2986,"relation":"maintains","created_at":"2021-09-30T09:27:39.585Z","updated_at":"2021-09-30T09:27:39.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":2986,"name":"Université de Nantes, CNRS, INSERM, l’institut du thorax, Nantes, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5812,"fairsharing_record_id":523,"organisation_id":2061,"relation":"maintains","created_at":"2021-09-30T09:27:39.696Z","updated_at":"2021-09-30T09:27:39.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":2061,"name":"National Physical Laboratory, Teddington, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5814,"fairsharing_record_id":523,"organisation_id":1133,"relation":"maintains","created_at":"2021-09-30T09:27:39.825Z","updated_at":"2021-09-30T09:27:39.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":1133,"name":"German BioImaging e.V., University of Konstanz, Konstanz, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5815,"fairsharing_record_id":523,"organisation_id":3023,"relation":"maintains","created_at":"2021-09-30T09:27:39.868Z","updated_at":"2021-09-30T09:27:39.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":3023,"name":"University of Bristol, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5816,"fairsharing_record_id":523,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:39.908Z","updated_at":"2021-09-30T09:27:39.908Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9331,"fairsharing_record_id":523,"organisation_id":403,"relation":"maintains","created_at":"2022-04-11T12:07:30.884Z","updated_at":"2022-04-11T12:07:30.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"524","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:11:39.000Z","updated_at":"2024-03-05T05:41:31.312Z","metadata":{"doi":"10.25504/FAIRsharing.eq2pdx","name":"Neutron, X-ray and muon Data Format","status":"ready","contacts":[{"contact_name":"NeXus committee","contact_email":"nexus-committee@nexusformat.org"}],"homepage":"http://www.nexusformat.org","citations":[],"identifier":524,"description":"NeXus is an international standard developed by scientists and programmers worldwide to foster more collaboration and data sharing in the analysis and visualization of neutron, x-ray, and muon data. NeXus has its foundation on HDF5 and adds domain-specific rules for organizing data within HDF5 files as welll as a dictionary of well-defined domain-specific field names.","abbreviation":"NeXus","support_links":[{"url":"https://manual.nexusformat.org/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.nexusformat.org/IssueReporting.html","name":"Issue Reporting","type":"Contact form"},{"url":"https://manual.nexusformat.org/user_manual.html","name":"User manual","type":"Help documentation"},{"url":"https://github.com/nexusformat","name":"GitHub Repository","type":"Github"}],"year_creation":1996},"legacy_ids":["bsg-000704","bsg-s000704"],"name":"FAIRsharing record for: Neutron, X-ray and muon Data Format","abbreviation":"NeXus","url":"https://fairsharing.org/10.25504/FAIRsharing.eq2pdx","doi":"10.25504/FAIRsharing.eq2pdx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeXus is an international standard developed by scientists and programmers worldwide to foster more collaboration and data sharing in the analysis and visualization of neutron, x-ray, and muon data. NeXus has its foundation on HDF5 and adds domain-specific rules for organizing data within HDF5 files as welll as a dictionary of well-defined domain-specific field names.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Physics","Data Visualization"],"domains":["Nanoparticle"],"taxonomies":["Not applicable"],"user_defined_tags":["Neutron Science"],"countries":["Worldwide"],"publications":[{"id":2239,"pubmed_id":26089752,"title":"The NeXus data format.","year":2015,"url":"http://doi.org/10.1107/S1600576714027575","authors":"Konnecke M,Akeroyd FA,Bernstein HJ,Brewster AS,Campbell SI,Clausen B,Cottrell S,Hoffmann JU,Jemian PR,Mannicke D,Osborn R,Peterson PF,Richter T,Suzuki J,Watts B,Wintersberger E,Wuttke J","journal":"J Appl Crystallogr","doi":"10.1107/S1600576714027575","created_at":"2021-09-30T08:26:32.356Z","updated_at":"2021-09-30T08:26:32.356Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":3513,"relation":"applies_to_content"}],"grants":[{"id":11423,"fairsharing_record_id":524,"organisation_id":4289,"relation":"maintains","created_at":"2024-02-27T10:38:25.379Z","updated_at":"2024-02-27T10:38:25.379Z","grant_id":null,"is_lead":true,"saved_state":{"id":4289,"name":"NeXus International Advisory Committee","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcTBEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e61d187aa06d17228db6f4bea91e868b896dddaa/Screenshot%20from%202024-02-27%2010-32-50.png?disposition=inline","exhaustive_licences":true}},{"id":"538","type":"fairsharing_records","attributes":{"created_at":"2018-11-07T14:50:32.000Z","updated_at":"2024-05-02T13:21:22.568Z","metadata":{"doi":"10.25504/FAIRsharing.ATwSZG","name":"Research Resource Identifier","status":"ready","contacts":[{"contact_name":"Anita Bandrowski","contact_email":"resources@scicrunch.zendesk.com"}],"homepage":"https://www.rrids.org/","citations":[],"identifier":538,"description":"Research Resource Identifiers (#RRID) are ID numbers assigned to help researchers cite key resources (antibodies, model organisms and software projects) in the biomedical literature to improve transparency of research methods. \n\n\n\n","abbreviation":"RRID","support_links":[{"url":"https://www.rrids.org/draft-texts","name":"Draft Instructions and Text","type":"Help documentation"},{"url":"https://www.rrids.org/journals","name":"Journal Endorsements","type":"Other"},{"url":"https://www.rrids.org/new-page-2","name":"Contact RRID","type":"Contact form"},{"url":"https://site.us12.list-manage.com/subscribe?u=0a278980f634ce4f77988e46a\u0026id=743aaca79b","name":"RRID Newsletter","type":"Mailing list"}],"year_creation":2013,"cross_references":[{"url":"https://bioregistry.io/registry/rrid","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/rrid","name":"Identifiers.org","portal":"Other"}],"regular_expression":"^[a-zA-Z]+.+$"},"legacy_ids":["bsg-001334","bsg-s001334"],"name":"FAIRsharing record for: Research Resource Identifier","abbreviation":"RRID","url":"https://fairsharing.org/10.25504/FAIRsharing.ATwSZG","doi":"10.25504/FAIRsharing.ATwSZG","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Research Resource Identifiers (#RRID) are ID numbers assigned to help researchers cite key resources (antibodies, model organisms and software projects) in the biomedical literature to improve transparency of research methods. \n\n\n\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Chemistry","Life Science"],"domains":["Citation","Resource metadata","Annotation","Data retrieval","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":631,"pubmed_id":26594330,"title":"The Resource Identification Initiative: A cultural shift in publishing.","year":2015,"url":"http://doi.org/10.12688/f1000research.6555.2","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan S,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"F1000Res","doi":"10.12688/f1000research.6555.2","created_at":"2021-09-30T08:23:29.376Z","updated_at":"2021-09-30T08:23:29.376Z"},{"id":739,"pubmed_id":27151636,"title":"RRIDs: A Simple Step toward Improving Reproducibility through Rigor and Transparency of Experimental Methods.","year":2016,"url":"http://doi.org/10.1016/j.neuron.2016.04.030","authors":"Bandrowski AE,Martone ME","journal":"Neuron","doi":"10.1016/j.neuron.2016.04.030","created_at":"2021-09-30T08:23:41.403Z","updated_at":"2021-09-30T08:23:41.403Z"},{"id":1283,"pubmed_id":26599696,"title":"The Resource Identification Initiative: A Cultural Shift in Publishing.","year":2015,"url":"http://doi.org/10.1002/cne.23913","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan SC,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"J Comp Neurol","doi":"10.1002/cne.23913","created_at":"2021-09-30T08:24:43.216Z","updated_at":"2021-09-30T08:24:43.216Z"},{"id":1418,"pubmed_id":24032093,"title":"On the reproducibility of science: unique identification of research resources in the biomedical literature.","year":2013,"url":"http://doi.org/10.7717/peerj.148","authors":"Vasilevsky NA,Brush MH,Paddock H,Ponting L,Tripathy SJ,Larocca GM,Haendel MA","journal":"PeerJ","doi":"10.7717/peerj.148","created_at":"2021-09-30T08:24:58.427Z","updated_at":"2021-09-30T08:24:58.427Z"},{"id":1426,"pubmed_id":27595404,"title":"A proposal for validation of antibodies.","year":2016,"url":"http://doi.org/10.1038/nmeth.3995","authors":"Uhlen M,Bandrowski A,Carr S,Edwards A,Ellenberg J,Lundberg E,Rimm DL,Rodriguez H,Hiltke T,Snyder M,Yamamoto T","journal":"Nat Methods","doi":"10.1038/nmeth.3995","created_at":"2021-09-30T08:24:59.385Z","updated_at":"2021-09-30T08:24:59.385Z"}],"licence_links":[],"grants":[{"id":5832,"fairsharing_record_id":538,"organisation_id":2436,"relation":"maintains","created_at":"2021-09-30T09:27:40.437Z","updated_at":"2021-09-30T09:27:40.437Z","grant_id":null,"is_lead":true,"saved_state":{"id":2436,"name":"Resource Identification Initiatve","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11604,"fairsharing_record_id":538,"organisation_id":990,"relation":"maintains","created_at":"2024-03-21T13:59:31.472Z","updated_at":"2024-03-21T13:59:31.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":990,"name":"FAIR Data Informatics Lab, University of California, San Diego, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"517","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:40:27.000Z","updated_at":"2021-11-24T13:18:37.896Z","metadata":{"doi":"10.25504/FAIRsharing.c9fakh","name":"Big Pattern Space Layout","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigPsl.html","identifier":517,"description":"The bigPsl format stores alignments between two sequences just as PSL files do; however, bigPsl files are compressed and indexed as bigBeds. PSL files are converted to bigPsl files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigPsl.","abbreviation":"bigPsl","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"bedToBigBed"},{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"pslToBigPsl"}]},"legacy_ids":["bsg-000698","bsg-s000698"],"name":"FAIRsharing record for: Big Pattern Space Layout","abbreviation":"bigPsl","url":"https://fairsharing.org/10.25504/FAIRsharing.c9fakh","doi":"10.25504/FAIRsharing.c9fakh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigPsl format stores alignments between two sequences just as PSL files do; however, bigPsl files are compressed and indexed as bigBeds. PSL files are converted to bigPsl files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigPsl.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Multiple sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5779,"fairsharing_record_id":517,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:38.826Z","updated_at":"2021-09-30T09:27:38.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"518","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:37.975Z","metadata":{"doi":"10.25504/FAIRsharing.x9k6a1","name":"bigWig Track Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigWig.html","identifier":518,"description":"The bigWig format is for display of dense, continuous data that will be displayed in the Genome Browser as a graph. The bigWig files are in an indexed binary format. The main advantage of this format is that only those portions of the file needed to display a particular region are transferred to the Genome Browser server. Because of this, bigWig files have considerably faster display performance than regular wiggle files when working with large data sets. The bigWig file remains on your local web-accessible server (http, https or ftp), not on the UCSC server, and only the portion needed for the currently displayed chromosomal position is locally cached as a \"sparse file\".","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000213","bsg-s000213"],"name":"FAIRsharing record for: bigWig Track Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.x9k6a1","doi":"10.25504/FAIRsharing.x9k6a1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigWig format is for display of dense, continuous data that will be displayed in the Genome Browser as a graph. The bigWig files are in an indexed binary format. The main advantage of this format is that only those portions of the file needed to display a particular region are transferred to the Genome Browser server. Because of this, bigWig files have considerably faster display performance than regular wiggle files when working with large data sets. The bigWig file remains on your local web-accessible server (http, https or ftp), not on the UCSC server, and only the portion needed for the currently displayed chromosomal position is locally cached as a \"sparse file\".","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11996}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5780,"fairsharing_record_id":518,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:38.851Z","updated_at":"2021-09-30T09:27:38.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"583","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-13T09:20:59.952Z","metadata":{"doi":"10.25504/FAIRsharing.ayjdsm","name":"Amphibian Taxonomy Ontology","status":"deprecated","contacts":[],"homepage":"http://purl.bioontology.org/ontology/ATO","citations":[],"identifier":583,"description":"Amphibian Taxonomy Ontology is an ontology of Amphibian species and genres. It is being integrated into UBERON resource","abbreviation":"ATO","deprecation_date":"2016-04-20","deprecation_reason":"This resource is no longer maintained, and UBERON can be used instead."},"legacy_ids":["bsg-000005","bsg-s000005"],"name":"FAIRsharing record for: Amphibian Taxonomy Ontology","abbreviation":"ATO","url":"https://fairsharing.org/10.25504/FAIRsharing.ayjdsm","doi":"10.25504/FAIRsharing.ayjdsm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Amphibian Taxonomy Ontology is an ontology of Amphibian species and genres. It is being integrated into UBERON resource","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy"],"domains":["Taxonomic classification"],"taxonomies":["Amphibia"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"584","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2024-02-28T13:54:36.410Z","metadata":{"doi":"10.25504/FAIRsharing.kd6sg8","name":"RegenBase ontology","status":"ready","contacts":[{"contact_name":"Alison Callahan","contact_email":"acallaha@stanford.edu"}],"homepage":"https://regenbase.org/regenbase-ontology.html","citations":[],"identifier":584,"description":"The RegenBase ontology describes biological entities and processes studied in spinal cord injury (SCI) research. The project aims to improve the replicability of SCI research findings through a minimum information standard for describing SCI experiments and their results, and this ontology to formally describe SCI concepts and the relationships between them. ","abbreviation":null,"support_links":[{"url":"https://regenbase.org/team--contact.html","name":"General Contact Form and Emails","type":"Contact form"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RB","name":"RB","portal":"BioPortal"}]},"legacy_ids":["bsg-000767","bsg-s000767"],"name":"FAIRsharing record for: RegenBase ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.kd6sg8","doi":"10.25504/FAIRsharing.kd6sg8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RegenBase ontology describes biological entities and processes studied in spinal cord injury (SCI) research. The project aims to improve the replicability of SCI research findings through a minimum information standard for describing SCI experiments and their results, and this ontology to formally describe SCI concepts and the relationships between them. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Medicine","Neurobiology","Biomedical Science","Translational Medicine"],"domains":[],"taxonomies":["Vertebrata"],"user_defined_tags":["Spinal Cord","Spinal Cord Injury"],"countries":["United States"],"publications":[{"id":3995,"pubmed_id":null,"title":"Facilitating transparency in spinal cord injury studies using data standards and ontologies","year":2014,"url":"http://dx.doi.org/10.4103/1673-5374.125322","authors":"Lemmon, VanceP; Abeyruwan, Saminda; Visser, Ubbo; Bixby, JohnL; ","journal":"Neural Regen Res","doi":"10.4103/1673-5374.125322","created_at":"2023-09-21T13:24:03.022Z","updated_at":"2023-09-21T13:24:03.022Z"}],"licence_links":[{"licence_name":"RegenBase Terms","licence_id":1074,"licence_url":"https://regenbase.org/terms-of-use.html","link_id":3342,"relation":"applies_to_content"}],"grants":[{"id":10880,"fairsharing_record_id":584,"organisation_id":1825,"relation":"maintains","created_at":"2023-09-21T13:42:50.098Z","updated_at":"2023-09-21T13:42:50.098Z","grant_id":null,"is_lead":true,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdklDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a3ccd509fd2fd8ae5e38c934f0e5ce0caff6a49d/1424801361.png?disposition=inline","exhaustive_licences":true}},{"id":"585","type":"fairsharing_records","attributes":{"created_at":"2018-09-30T20:13:41.000Z","updated_at":"2022-04-11T12:07:18.634Z","metadata":{"doi":"10.25504/FAIRsharing.7e962d","name":"Protocol Registration Data Element Definitions","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"Register@ClinicalTrials.gov"}],"homepage":"https://prsinfo.clinicaltrials.gov/definitions.html","identifier":585,"description":"This standard describes the definitions for protocol registration data elements submitted to ClinicalTrials.gov for interventional studies (clinical trials) and observational studies.","abbreviation":null,"support_links":[{"url":"https://clinicaltrials.gov/ct2/manage-recs/resources","name":"Support Materials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001299","bsg-s001299"],"name":"FAIRsharing record for: Protocol Registration Data Element Definitions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7e962d","doi":"10.25504/FAIRsharing.7e962d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard describes the definitions for protocol registration data elements submitted to ClinicalTrials.gov for interventional studies (clinical trials) and observational studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12538}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Health Science","Life Science","Biomedical Science","Preclinical Studies"],"domains":["Centrally registered identifier","Electronic health record","Intervention design","Protocol","Observation design","Study design"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5908,"fairsharing_record_id":585,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:27:42.422Z","updated_at":"2021-09-30T09:27:42.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5906,"fairsharing_record_id":585,"organisation_id":2944,"relation":"maintains","created_at":"2021-09-30T09:27:42.372Z","updated_at":"2021-09-30T09:27:42.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9163,"fairsharing_record_id":585,"organisation_id":2045,"relation":"funds","created_at":"2022-04-11T12:07:18.624Z","updated_at":"2022-04-11T12:07:18.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"586","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2023-03-30T13:11:12.083Z","metadata":{"doi":"10.25504/FAIRsharing.vpy0jx","name":"Knowledge Object Reference Ontology","status":"ready","contacts":[{"contact_name":"Allen Flynn","contact_email":"ajflynn@umich.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/KORO","citations":[],"identifier":586,"description":"An ontology to define the parts of a Knowledge Object and their relations built using the Basic Formal Ontology and Information Artifact Ontology","abbreviation":"KORO","support_links":[{"url":"https://link.springer.com/chapter/10.1007/978-94-6209-004-0_3","name":"Reference Ontology for Knowledge Creation Processes (chapter book)","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/KORO","name":"KORO","portal":"BioPortal"}]},"legacy_ids":["bsg-000769","bsg-s000769"],"name":"FAIRsharing record for: Knowledge Object Reference Ontology","abbreviation":"KORO","url":"https://fairsharing.org/10.25504/FAIRsharing.vpy0jx","doi":"10.25504/FAIRsharing.vpy0jx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology to define the parts of a Knowledge Object and their relations built using the Basic Formal Ontology and Information Artifact Ontology","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems"],"domains":["Knowledge representation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3832,"pubmed_id":null,"title":"The Knowledge Object Reference Ontology (KORO): A formalism to support management and sharing of computable biomedical knowledge for learning health systems","year":2018,"url":"http://dx.doi.org/10.1002/lrh2.10054","authors":"Flynn, Allen J.; Friedman, Charles P.; Boisvert, Peter; Landis-Lewis, Zachary; Lagoze, Carl; ","journal":"Learn Health Sys","doi":"10.1002/lrh2.10054","created_at":"2023-03-30T13:05:56.535Z","updated_at":"2023-03-30T13:05:56.535Z"}],"licence_links":[],"grants":[{"id":10469,"fairsharing_record_id":586,"organisation_id":2512,"relation":"undefined","created_at":"2023-03-30T13:09:35.358Z","updated_at":"2023-03-30T13:09:35.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":2512,"name":"School of Information, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"587","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2023-01-04T11:46:42.605Z","metadata":{"doi":"10.25504/FAIRsharing.3qdg66","name":"Genomic Clinical Decision Support Ontology","status":"ready","contacts":[{"contact_name":"Matthias Samwald","contact_email":"samwald@gmx.at"}],"homepage":"http://samwald.info","citations":[],"identifier":587,"description":"The Genomic CDS ontology aims to unify several functionalities in a single resource, being: * A knowledge base for clinical pharmacogenomics/pharmacogenetics that can be used for question-answering (e.g., which SNPs are associated with this drug?) * A rule base for clinical decision support (e.g., inferring that a patient with a specific set of SNPs requires a lowered dose of warfarin and generating a CDS message that can be viewed by clinicians) * A tool for checking data consistency (e.g., highlighting which allele definitions in PharmGKB are overlapping, or which clinical decision support rules are matching the same group of patients).","abbreviation":"GENE-CDS","support_links":[],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GENE-CDS","name":"GENE-CDS","portal":"BioPortal"}]},"legacy_ids":["bsg-000770","bsg-s000770"],"name":"FAIRsharing record for: Genomic Clinical Decision Support Ontology","abbreviation":"GENE-CDS","url":"https://fairsharing.org/10.25504/FAIRsharing.3qdg66","doi":"10.25504/FAIRsharing.3qdg66","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic CDS ontology aims to unify several functionalities in a single resource, being: * A knowledge base for clinical pharmacogenomics/pharmacogenetics that can be used for question-answering (e.g., which SNPs are associated with this drug?) * A rule base for clinical decision support (e.g., inferring that a patient with a specific set of SNPs requires a lowered dose of warfarin and generating a CDS message that can be viewed by clinicians) * A tool for checking data consistency (e.g., highlighting which allele definitions in PharmGKB are overlapping, or which clinical decision support rules are matching the same group of patients).","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16963}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Health Science","Proteomics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria"],"publications":[],"licence_links":[],"grants":[{"id":10292,"fairsharing_record_id":587,"organisation_id":3856,"relation":"maintains","created_at":"2023-01-04T11:29:25.777Z","updated_at":"2023-01-04T11:29:25.777Z","grant_id":null,"is_lead":true,"saved_state":{"id":3856,"name":"Samwald Lab","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"588","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-12-23T08:39:18.554Z","metadata":{"doi":"10.25504/FAIRsharing.dyj433","name":"PatientSafetyOntology","status":"ready","contacts":[{"contact_name":"Thomas Schrader","contact_email":"schrader@th-brandenburg.de"}],"homepage":"http://bioportal.bioontology.org/ontologies/PSO","citations":[],"identifier":588,"description":"It is the ontology embedding PRIME (Prospective Risk Analysis in Medical Environments) in related issues of patient safety research and activities. It classifies terms and express relations between them. The ontology building in an ongoing process. Any comments are welcome.","abbreviation":"PSO","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PSO","name":"PSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000771","bsg-s000771"],"name":"FAIRsharing record for: PatientSafetyOntology","abbreviation":"PSO","url":"https://fairsharing.org/10.25504/FAIRsharing.dyj433","doi":"10.25504/FAIRsharing.dyj433","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: It is the ontology embedding PRIME (Prospective Risk Analysis in Medical Environments) in related issues of patient safety research and activities. It classifies terms and express relations between them. The ontology building in an ongoing process. Any comments are welcome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Occupational Medicine","Medical Informatics"],"domains":["Monitoring","Hospital"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"589","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-12-23T08:35:08.322Z","metadata":{"doi":"10.25504/FAIRsharing.77v8xn","name":"Upper-Level Cancer Ontology","status":"ready","contacts":[{"contact_name":"Andre Stander","contact_email":"andre.stander@up.ac.za"}],"homepage":"http://bioportal.bioontology.org/ontologies/CANONT","citations":[],"identifier":589,"description":"Providing an upper-level ontology for cancer.","abbreviation":"CANONT","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CANONT","name":"CANONT","portal":"BioPortal"}]},"legacy_ids":["bsg-000764","bsg-s000764"],"name":"FAIRsharing record for: Upper-Level Cancer Ontology","abbreviation":"CANONT","url":"https://fairsharing.org/10.25504/FAIRsharing.77v8xn","doi":"10.25504/FAIRsharing.77v8xn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Providing an upper-level ontology for cancer.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology"],"domains":["Cancer"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"590","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2023-03-13T09:26:44.386Z","metadata":{"doi":"10.25504/FAIRsharing.pxj1sx","name":"Ontological Knowledge Base Model for Cystic Fibrosis","status":"ready","contacts":[{"contact_name":"Xia Jing","contact_email":"xjing2007@googlemail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOKBCF","citations":[],"identifier":590,"description":"OntoKBCF is an ontological knowledge base model for cystic fibrosis. There are molecular genetic information (i.e. gene mutations) and health information included in OntoKBCF. The purposes of OntoKBCF include management of molecular genetic information and health information and embedding OntoKBCF into EHR settings.","abbreviation":"ONTOKBCF","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOKBCF","name":"ONTOKBCF","portal":"BioPortal"}]},"legacy_ids":["bsg-000765","bsg-s000765"],"name":"FAIRsharing record for: Ontological Knowledge Base Model for Cystic Fibrosis","abbreviation":"ONTOKBCF","url":"https://fairsharing.org/10.25504/FAIRsharing.pxj1sx","doi":"10.25504/FAIRsharing.pxj1sx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoKBCF is an ontological knowledge base model for cystic fibrosis. There are molecular genetic information (i.e. gene mutations) and health information included in OntoKBCF. The purposes of OntoKBCF include management of molecular genetic information and health information and embedding OntoKBCF into EHR settings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Genetics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"591","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:00:20.254Z","metadata":{"doi":"10.25504/FAIRsharing.8532n8","name":"DermLex: The Dermatology Lexicon","status":"deprecated","contacts":[{"contact_name":"Naomi Levintha","contact_email":"nlevinthal@aad.org"}],"homepage":"https://www.aad.org/dermlex/Default.aspx","identifier":591,"description":"DermLex: The Dermatology Lexicon standardized terminology of dermatologic diagnoses, therapies, procedures, and laboratory tests.","abbreviation":"DermLex","support_links":[{"url":"dermlex@aad.org","name":"General inquiry","type":"Support email"},{"url":"https://www.aad.org/dermlex/Mappings.aspx","name":"Mapping","type":"Help documentation"}],"year_creation":2006,"deprecation_date":"2019-06-18","deprecation_reason":"This resource is no longer actively maintained. This has been confirmed via the resource homepage: \"Users should note that, per the decision of its Board of Directors, the American Academy of Dermatology no longer actively maintains the Dermlex. The lexicon was last updated on May, 12, 2009.\""},"legacy_ids":["bsg-002599","bsg-s002599"],"name":"FAIRsharing record for: DermLex: The Dermatology Lexicon","abbreviation":"DermLex","url":"https://fairsharing.org/10.25504/FAIRsharing.8532n8","doi":"10.25504/FAIRsharing.8532n8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DermLex: The Dermatology Lexicon standardized terminology of dermatologic diagnoses, therapies, procedures, and laboratory tests.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Dermatology","Biomedical Science"],"domains":["Patient care","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"592","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:26.000Z","updated_at":"2022-11-01T11:57:45.054Z","metadata":{"doi":"10.25504/FAIRsharing.EwnE1n","name":"FAIR Metrics - Access authorization","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_A1.2","citations":[],"identifier":592,"description":"FM-A1.2 measures whether or not the specification describes a protocol to access restricted content. Not all content can be made available without restriction. For instance, access and distribution of personal health data may be restricted by law or by organizational policy. In such cases, it is important that the protocol by which such content can be accessed is fully specified. Ideally, electronic content can be obtained first by applying for access. Once the requester is formally authorized to access the content, they may receive it in some electronic means, for instance by obtaining an download URL, or through a more sophisticated transaction mechanism (e.g. authenticate, authorize), or by any other means. The goal should be to reduce the time it takes for valid requests to be fulfilled. Therefore the following information must be provided: i) true/false concerning whether authorization is needed, ii) a URL that resolves to a description of the process to obtain access to restricted content. This metric applies to part A1.2 of the FAIR Principles.","abbreviation":"FM-A1.2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001348","bsg-s001348"],"name":"FAIRsharing record for: FAIR Metrics - Access authorization","abbreviation":"FM-A1.2","url":"https://fairsharing.org/10.25504/FAIRsharing.EwnE1n","doi":"10.25504/FAIRsharing.EwnE1n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-A1.2 measures whether or not the specification describes a protocol to access restricted content. Not all content can be made available without restriction. For instance, access and distribution of personal health data may be restricted by law or by organizational policy. In such cases, it is important that the protocol by which such content can be accessed is fully specified. Ideally, electronic content can be obtained first by applying for access. Once the requester is formally authorized to access the content, they may receive it in some electronic means, for instance by obtaining an download URL, or through a more sophisticated transaction mechanism (e.g. authenticate, authorize), or by any other means. The goal should be to reduce the time it takes for valid requests to be fulfilled. Therefore the following information must be provided: i) true/false concerning whether authorization is needed, ii) a URL that resolves to a description of the process to obtain access to restricted content. This metric applies to part A1.2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1405,"relation":"undefined"}],"grants":[{"id":5910,"fairsharing_record_id":592,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:42.504Z","updated_at":"2021-09-30T09:27:42.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5911,"fairsharing_record_id":592,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:42.546Z","updated_at":"2021-09-30T09:27:42.546Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5912,"fairsharing_record_id":592,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:42.588Z","updated_at":"2021-09-30T09:27:42.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5913,"fairsharing_record_id":592,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:42.630Z","updated_at":"2021-09-30T09:27:42.630Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"607","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T18:54:06.000Z","updated_at":"2024-03-21T13:59:00.838Z","metadata":{"doi":"10.25504/FAIRsharing.wggn02","name":"LINCS Extended Metadata Standard: Nucleic Acid Reagents","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Nucleic_Acid_Metadata_2017.pdf","citations":[],"identifier":607,"description":"LINCS Production Phase 2 Extended Metadata Standards, including this guideline on Nucleic Acid Reagents, were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","abbreviation":"LINCS 2: Nucleic Acid Reagents","support_links":[{"url":"https://lincsproject.org/LINCS/files/Nucleic_Acid_Metadata_2016.pdf","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000699","bsg-s000699"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Nucleic Acid Reagents","abbreviation":"LINCS 2: Nucleic Acid Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.wggn02","doi":"10.25504/FAIRsharing.wggn02","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards, including this guideline on Nucleic Acid Reagents, were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11909}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Nucleic acid","Reagent","Cell culture"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5937,"fairsharing_record_id":607,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:43.480Z","updated_at":"2021-09-30T09:27:43.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11569,"fairsharing_record_id":607,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:00.562Z","updated_at":"2024-03-21T13:59:00.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"609","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:02:26.810Z","metadata":{"doi":"10.25504/FAIRsharing.d88s6e","name":"Systematized Nomenclature of Medicine-Clinical Terms","status":"ready","contacts":[{"contact_name":"info@snomed.org","contact_email":"info@snomed.org"}],"homepage":"http://www.snomed.org/snomed-ct/five-step-briefing","citations":[],"identifier":609,"description":"The Systematized Nomenclature of Medicine Clinical Terms is a reference terminology that can be used to cross-map standardized healthcare languages across healthcare disciplines.","abbreviation":"SNOMEDCT","support_links":[{"url":"https://confluence.ihtsdotools.org","type":"Help documentation"},{"url":"https://www.snomed.org/snomed-international/learn-more","type":"Help documentation"}],"year_creation":2005,"associated_tools":[{"url":"https://github.com/IHTSDO/sct-browser-frontend","name":"SNOMED CT Browser 2.0"},{"url":"https://github.com/IHTSDO/OTF-Mapping-Service","name":"SNOMED CT Mapping Tool 1.7.5"},{"url":"https://github.com/IHTSDO/snowstorm","name":"Snowstorm SNOMED CT Terminology Server 4.9.0"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SNOMEDCT","name":"SNOMEDCT","portal":"BioPortal"}]},"legacy_ids":["bsg-000098","bsg-s000098"],"name":"FAIRsharing record for: Systematized Nomenclature of Medicine-Clinical Terms","abbreviation":"SNOMEDCT","url":"https://fairsharing.org/10.25504/FAIRsharing.d88s6e","doi":"10.25504/FAIRsharing.d88s6e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systematized Nomenclature of Medicine Clinical Terms is a reference terminology that can be used to cross-map standardized healthcare languages across healthcare disciplines.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17338},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17687},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11027},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11272},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11970},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12208},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12420},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16973}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Belgium","Brunei","Canada","Chile","Czech Republic","Denmark","Estonia","Hong Kong","Iceland","India","Ireland","Israel","Lithuania","Malaysia","Malta","Netherlands","New Zealand","Norway","Poland","Portugal","Singapore","Slovakia","Slovenia","Spain","Sweden","Switzerland","United Kingdom","United States","Uruguay"],"publications":[{"id":1258,"pubmed_id":16980782,"title":"Standardized nursing language in the systematized nomenclature of medicine clinical terms: A cross-mapping validation method.","year":2006,"url":"http://doi.org/10.1097/00024665-200609000-00011","authors":"Lu DF,Eichmann D,Konicek D,Park HT,Ucharattana P,Delaney C","journal":"Comput Inform Nurs","doi":"10.1097/00024665-200609000-00011","created_at":"2021-09-30T08:24:40.358Z","updated_at":"2021-09-30T08:24:40.358Z"}],"licence_links":[{"licence_name":"SNOMED CT Licensing Policy","licence_id":751,"licence_url":"https://www.snomed.org/snomed-ct/get-snomed","link_id":499,"relation":"undefined"}],"grants":[{"id":12028,"fairsharing_record_id":609,"organisation_id":3834,"relation":"maintains","created_at":"2024-07-08T14:51:30.080Z","updated_at":"2024-07-08T14:51:30.080Z","grant_id":null,"is_lead":true,"saved_state":{"id":3834,"name":"SNOMED International","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"610","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-12-27T17:15:59.647Z","metadata":{"doi":"10.25504/FAIRsharing.hqyeb7","name":"Fire Ontology","status":"ready","contacts":[{"contact_name":"Adriano Souza","contact_email":"souza.a@outlook.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/FIRE","citations":[],"identifier":610,"description":"The ontology of Fire was created in order to represent the set of concepts about the fire occurring in natural vegetation, its characteristics, causes and effects, with focus on Cerrado vegetation domain. The fire plays a determinant role on the structure and composition of Cerrado physiognomies.","abbreviation":"FIRE","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FIRE","name":"FIRE","portal":"BioPortal"}]},"legacy_ids":["bsg-000783","bsg-s000783"],"name":"FAIRsharing record for: Fire Ontology","abbreviation":"FIRE","url":"https://fairsharing.org/10.25504/FAIRsharing.hqyeb7","doi":"10.25504/FAIRsharing.hqyeb7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of Fire was created in order to represent the set of concepts about the fire occurring in natural vegetation, its characteristics, causes and effects, with focus on Cerrado vegetation domain. The fire plays a determinant role on the structure and composition of Cerrado physiognomies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Plant Ecology","Environmental Science","Population Dynamics","Meteorology","Biodiversity","Ecosystem Science"],"domains":["Combustion","Climate","Ecosystem"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"613","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:09.065Z","metadata":{"doi":"10.25504/FAIRsharing.w69t6r","name":"Plant Trait Ontology","status":"ready","contacts":[{"contact_name":"Laurel Cooper","contact_email":"cooperl@science.oregonstate.edu","contact_orcid":"0000-0002-6379-8932"}],"homepage":"http://browser.planteome.org/amigo/term/TO:0000387#display-lineage-tab","identifier":613,"description":"A controlled vocabulary to describe phenotypic traits in plants. Each trait is a distinguishable feature, characteristic, quality or phenotypic feature of a developing or mature plant, or a plant part. The TO is part of the Planteome Project.","abbreviation":"TO","support_links":[{"url":"http://planteome.org/contact","name":"Planteome Contact Form","type":"Contact form"},{"url":"jaiswalp@science.oregonstate.edu","name":"Pankaj Jaiswal","type":"Support email"},{"url":"https://github.com/Planteome/plant-trait-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/Planteome/plant-trait-ontology","name":"GitHub Project","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PTO","name":"PTO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/to.html","name":"to","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000133","bsg-s000133"],"name":"FAIRsharing record for: Plant Trait Ontology","abbreviation":"TO","url":"https://fairsharing.org/10.25504/FAIRsharing.w69t6r","doi":"10.25504/FAIRsharing.w69t6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary to describe phenotypic traits in plants. Each trait is a distinguishable feature, characteristic, quality or phenotypic feature of a developing or mature plant, or a plant part. The TO is part of the Planteome Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Phenotype","Structure","Life cycle"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2166,"pubmed_id":29186578,"title":"The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1152","authors":"Cooper L,Meier A,Laporte MA,Elser JL,Mungall C,Sinn BT,Cavaliere D,Carbon S,Dunn NA,Smith B,Qu B,Preece J,Zhang E,Todorovic S,Gkoutos G,Doonan JH,Stevenson DW,Arnaud E,Jaiswal P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1152","created_at":"2021-09-30T08:26:24.139Z","updated_at":"2021-09-30T11:29:30.419Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1740,"relation":"undefined"}],"grants":[{"id":5940,"fairsharing_record_id":613,"organisation_id":15,"relation":"maintains","created_at":"2021-09-30T09:27:43.579Z","updated_at":"2021-09-30T09:27:43.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":15,"name":"Aberystwyth University, Wales, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5943,"fairsharing_record_id":613,"organisation_id":2153,"relation":"maintains","created_at":"2021-09-30T09:27:43.663Z","updated_at":"2021-09-30T09:27:43.663Z","grant_id":null,"is_lead":false,"saved_state":{"id":2153,"name":"New York Botanical Garden","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5941,"fairsharing_record_id":613,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:43.608Z","updated_at":"2021-09-30T09:27:43.608Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5942,"fairsharing_record_id":613,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:27:43.633Z","updated_at":"2021-09-30T09:27:43.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5944,"fairsharing_record_id":613,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:43.706Z","updated_at":"2021-09-30T09:27:43.706Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"614","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T11:55:32.515Z","metadata":{"doi":"10.25504/FAIRsharing.rz77m6","name":"Transition Markup Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"psidev-ms-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/traml","citations":[{"doi":"10.1074/mcp.R111.015040","pubmed_id":22159873,"publication_id":2206}],"identifier":614,"description":"The HUPO PSI Mass Spectrometry Standards Working Group (MSS WG) has developed a specification for a standardized format for the exchange and transmission of transition lists for selected reaction monitoring (SRM)/multiple reaction monitoring proteomic experiments. ","abbreviation":"TraML","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"http://www.peptideatlas.org/schemas/TraML/1.0.0/TraML1.0.0.html","type":"Help documentation"},{"url":"http://www.peptideatlas.org/schemas/TraML/1.0.0/TraML_1.0.0.0_specificationDocument.pdf","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"http://iomics.ugent.be/jtraml","name":"TraML Converter 1.0"}]},"legacy_ids":["bsg-000113","bsg-s000113"],"name":"FAIRsharing record for: Transition Markup Language","abbreviation":"TraML","url":"https://fairsharing.org/10.25504/FAIRsharing.rz77m6","doi":"10.25504/FAIRsharing.rz77m6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HUPO PSI Mass Spectrometry Standards Working Group (MSS WG) has developed a specification for a standardized format for the exchange and transmission of transition lists for selected reaction monitoring (SRM)/multiple reaction monitoring proteomic experiments. ","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11428},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11952},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16913}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Experimental measurement","Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Germany","Switzerland","United Kingdom","United States"],"publications":[{"id":2206,"pubmed_id":22159873,"title":"TraML--a standard format for exchange of selected reaction monitoring transition lists.","year":2011,"url":"http://doi.org/10.1074/mcp.R111.015040","authors":"Deutsch EW,Chambers M,Neumann S,Levander F,Binz PA,Shofstahl J,Campbell DS,Mendoza L,Ovelleiro D,Helsens K,Martens L,Aebersold R,Moritz RL,Brusniak MY","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.R111.015040","created_at":"2021-09-30T08:26:28.641Z","updated_at":"2021-09-30T08:26:28.641Z"}],"licence_links":[],"grants":[{"id":5945,"fairsharing_record_id":614,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:43.743Z","updated_at":"2021-09-30T09:30:14.497Z","grant_id":616,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7 'ProteomeXchange' 260558","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5948,"fairsharing_record_id":614,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:43.825Z","updated_at":"2021-09-30T09:32:29.105Z","grant_id":1640,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01- HV -28179","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5947,"fairsharing_record_id":614,"organisation_id":1291,"relation":"maintains","created_at":"2021-09-30T09:27:43.799Z","updated_at":"2021-09-30T09:27:43.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":1291,"name":"HUPO-PSI initiative; Quality Control working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5949,"fairsharing_record_id":614,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:43.849Z","updated_at":"2021-09-30T09:28:53.437Z","grant_id":2,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG005805","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5946,"fairsharing_record_id":614,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:43.776Z","updated_at":"2021-09-30T09:32:43.272Z","grant_id":1748,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM087221","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"615","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:36:01.000Z","updated_at":"2021-11-24T13:18:39.134Z","metadata":{"doi":"10.25504/FAIRsharing.78make","name":"Big Multiple Alignment Format","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigMaf.html","identifier":615,"description":"The bigMaf format stores multiple alignments in a format compatible with MAF files, which is then compressed and indexed as a bigBed. The bigMaf files are created using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigMaf.","abbreviation":"bigMaf","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"mafToBigBed"}]},"legacy_ids":["bsg-000697","bsg-s000697"],"name":"FAIRsharing record for: Big Multiple Alignment Format","abbreviation":"bigMaf","url":"https://fairsharing.org/10.25504/FAIRsharing.78make","doi":"10.25504/FAIRsharing.78make","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigMaf format stores multiple alignments in a format compatible with MAF files, which is then compressed and indexed as a bigBed. The bigMaf files are created using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigMaf.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Multiple sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5950,"fairsharing_record_id":615,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:43.875Z","updated_at":"2021-09-30T09:27:43.875Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"616","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:31.078Z","metadata":{"doi":"10.25504/FAIRsharing.htx8tt","name":"Minimum Information about a Cardiac Electrophysiology Experiment","status":"ready","contacts":[{"contact_name":"Stephen Granite","contact_email":"sgranite@jhu.edu","contact_orcid":"0000-0002-0956-7500"}],"homepage":"https://doi.org/10.1016/j.pbiomolbio.2011.07.001","citations":[{"doi":"10.1016/j.pbiomolbio.2011.07.001","pubmed_id":21745496,"publication_id":1819}],"identifier":616,"description":"Minimum Information about a Cardiac Electrophysiology Experiment (MICEE) is a reporting standard developed by an international group of leading experimental teams comprising an explicit minimum set of information deemed necessary for reproduction and utilization of published cardiac experimental electrophysiology research. The concept is that upon publication, data annotated according to the MICEE standard will be deposited by investigators in an online repository, with links provided in related publications. \nNote from the FAIRsharing team: the only available resource is the publication. ","abbreviation":"MICEE","support_links":[{"url":"davehops@jhu.edu","type":"Support email"}],"year_creation":2010},"legacy_ids":["bsg-000278","bsg-s000278"],"name":"FAIRsharing record for: Minimum Information about a Cardiac Electrophysiology Experiment","abbreviation":"MICEE","url":"https://fairsharing.org/10.25504/FAIRsharing.htx8tt","doi":"10.25504/FAIRsharing.htx8tt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimum Information about a Cardiac Electrophysiology Experiment (MICEE) is a reporting standard developed by an international group of leading experimental teams comprising an explicit minimum set of information deemed necessary for reproduction and utilization of published cardiac experimental electrophysiology research. The concept is that upon publication, data annotated according to the MICEE standard will be deposited by investigators in an online repository, with links provided in related publications. \nNote from the FAIRsharing team: the only available resource is the publication. ","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11181},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11602},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12087}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Electrophysiology"],"domains":["Report","Assay","Heart"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":1819,"pubmed_id":21745496,"title":"Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): standardised reporting for model reproducibility, interoperability, and data sharing.","year":2011,"url":"http://doi.org/10.1016/j.pbiomolbio.2011.07.001","authors":"Quinn TA et al.","journal":"Prog Biophys Mol Biol","doi":"10.1016/j.pbiomolbio.2011.07.001","created_at":"2021-09-30T08:25:44.247Z","updated_at":"2021-09-30T08:25:44.247Z"}],"licence_links":[],"grants":[{"id":5954,"fairsharing_record_id":616,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:27:43.975Z","updated_at":"2021-09-30T09:27:43.975Z","grant_id":null,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5953,"fairsharing_record_id":616,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:43.949Z","updated_at":"2021-09-30T09:27:43.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5951,"fairsharing_record_id":616,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:43.899Z","updated_at":"2021-09-30T09:30:34.206Z","grant_id":769,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL103727","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8089,"fairsharing_record_id":616,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:52.449Z","updated_at":"2021-09-30T09:30:52.509Z","grant_id":913,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8091,"fairsharing_record_id":616,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:52.957Z","updated_at":"2021-09-30T09:30:53.024Z","grant_id":917,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R24HL085343","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11603,"fairsharing_record_id":616,"organisation_id":4004,"relation":"funds","created_at":"2024-03-21T13:59:30.987Z","updated_at":"2024-03-21T13:59:30.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":4004,"name":"VPHi - Virtual Physiological Human Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"599","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:38.721Z","metadata":{"doi":"10.25504/FAIRsharing.vy4h4j","name":"Minimal Information for QTLs and Association Studies","status":"ready","contacts":[{"contact_name":"Jan Aerts","contact_email":"jan.aerts@bbsrc.ac.uk","contact_orcid":"0000-0002-6416-2717"}],"homepage":"http://miqas.sourceforge.net/","identifier":599,"description":"The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file.","abbreviation":"MIQAS","support_links":[{"url":"http://mibbi.sf.net/projects/MIQAS.shtml","type":"Help documentation"}],"associated_tools":[{"url":"http://www.gridqtl.org.uk","name":"GRID QTL"},{"url":"https://www.kyazma.nl/index.php/MapQTL/","name":"MapQTL"}]},"legacy_ids":["bsg-000158","bsg-s000158"],"name":"FAIRsharing record for: Minimal Information for QTLs and Association Studies","abbreviation":"MIQAS","url":"https://fairsharing.org/10.25504/FAIRsharing.vy4h4j","doi":"10.25504/FAIRsharing.vy4h4j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11572},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11959}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Phenotype","Quantitative trait loci","Genome-wide association study"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":5925,"fairsharing_record_id":599,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:43.052Z","updated_at":"2021-09-30T09:27:43.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5928,"fairsharing_record_id":599,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:27:43.171Z","updated_at":"2021-09-30T09:27:43.171Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5926,"fairsharing_record_id":599,"organisation_id":1849,"relation":"maintains","created_at":"2021-09-30T09:27:43.088Z","updated_at":"2021-09-30T09:27:43.088Z","grant_id":null,"is_lead":false,"saved_state":{"id":1849,"name":"Minimum Information for QTLs and Association Studies (MIQAS) Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5927,"fairsharing_record_id":599,"organisation_id":2458,"relation":"maintains","created_at":"2021-09-30T09:27:43.130Z","updated_at":"2021-09-30T09:27:43.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":2458,"name":"Roslin Institue","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5929,"fairsharing_record_id":599,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:43.221Z","updated_at":"2021-09-30T09:27:43.221Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"600","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2021-11-24T13:14:09.143Z","metadata":{"doi":"10.25504/FAIRsharing.c86z66","name":"Medaka Stage Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/developmental-stage-ontologies/wiki/OlatDv","identifier":600,"description":"Life cycle stages for Medaka. OlatDv is based on the original medaka stage ontology MFO by Thorsten Henrich. Currently it includes only pre-adult stages.","abbreviation":"OlatDv","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OLATDV","name":"OLATDV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/olatdv.html","name":"olatdv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000876","bsg-s000876"],"name":"FAIRsharing record for: Medaka Stage Ontology","abbreviation":"OlatDv","url":"https://fairsharing.org/10.25504/FAIRsharing.c86z66","doi":"10.25504/FAIRsharing.c86z66","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Medaka. OlatDv is based on the original medaka stage ontology MFO by Thorsten Henrich. Currently it includes only pre-adult stages.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Aquaculture","Developmental Biology","Life Science"],"domains":["Life cycle stage"],"taxonomies":["Oryzias latipes"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":543,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"601","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-12-27T17:22:25.468Z","metadata":{"doi":"10.25504/FAIRsharing.bkejsq","name":"Human Physiology Simulation Ontology","status":"ready","contacts":[{"contact_name":"Michaela Guendel","contact_email":"michaela.guendel@scai-extern.fraunhofer.de"}],"homepage":"http://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads.html","citations":[],"identifier":601,"description":"Large biomedical simulation initiatives, such as the Virtual Physiological Human (VPH), are substantially dependent on controlled vocabularies to facilitate the exchange of information, of data and of models. Hindering these initiatives is a lack of a comprehensive ontology that covers the essential concepts of the simulation domain. We propose a first version of a newly constructed ontology, HuPSON, as a basis for shared semantics and interoperability of simulations, of models, of algorithms and of other resources in this domain. The ontology is based on the Basic Formal Ontology, and adheres to the MIREOT principles.","abbreviation":"HUPSON","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HUPSON","name":"HUPSON","portal":"BioPortal"}]},"legacy_ids":["bsg-000880","bsg-s000880"],"name":"FAIRsharing record for: Human Physiology Simulation Ontology","abbreviation":"HUPSON","url":"https://fairsharing.org/10.25504/FAIRsharing.bkejsq","doi":"10.25504/FAIRsharing.bkejsq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Large biomedical simulation initiatives, such as the Virtual Physiological Human (VPH), are substantially dependent on controlled vocabularies to facilitate the exchange of information, of data and of models. Hindering these initiatives is a lack of a comprehensive ontology that covers the essential concepts of the simulation domain. We propose a first version of a newly constructed ontology, HuPSON, as a basis for shared semantics and interoperability of simulations, of models, of algorithms and of other resources in this domain. The ontology is based on the Basic Formal Ontology, and adheres to the MIREOT principles.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12113},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16950}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Systems Biology","Medical Informatics"],"domains":["Modeling and simulation","Algorithm"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"603","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:21.544Z","metadata":{"doi":"10.25504/FAIRsharing.grqm4q","name":"CDISC Protocol Representation Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/protocol","identifier":603,"description":"The CDISC Protocol Representation Model (PRM) provides a standard for planning and designing a research protocol with focus on study characteristics such as study design, eligibility criteria, and requirements from the ClinicalTrials.gov, World Health Organization (WHO) registries, and EudraCT registries. PRM assists in automating CRF creation and EHR configuration to support clinical research and data sharing.","abbreviation":"CDISC PRM"},"legacy_ids":["bsg-000145","bsg-s000145"],"name":"FAIRsharing record for: CDISC Protocol Representation Model","abbreviation":"CDISC PRM","url":"https://fairsharing.org/10.25504/FAIRsharing.grqm4q","doi":"10.25504/FAIRsharing.grqm4q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CDISC Protocol Representation Model (PRM) provides a standard for planning and designing a research protocol with focus on study characteristics such as study design, eligibility criteria, and requirements from the ClinicalTrials.gov, World Health Organization (WHO) registries, and EudraCT registries. PRM assists in automating CRF creation and EHR configuration to support clinical research and data sharing.","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11274},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11806},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11973},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12422}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Protocol"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5930,"fairsharing_record_id":603,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:43.262Z","updated_at":"2021-09-30T09:27:43.262Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"594","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T10:57:39.000Z","updated_at":"2022-02-08T10:28:51.341Z","metadata":{"doi":"10.25504/FAIRsharing.ad4856","name":"Metadata Application Profile: eBank UK project","status":"ready","contacts":[{"contact_name":"Monica Duke","contact_email":"monica.duke@jisc.ac.uk","contact_orcid":"0000-0003-2588-7544"}],"homepage":"http://www.ukoln.ac.uk/projects/ebank-uk/schemas/profile/","identifier":594,"description":"The eBank UK project has created a repository of crystallography datasets (eCrystals) and a metadata profile (Dublin Core Application Profile) has been designed to describe the metadata exposed by the repository using OAI-PMH. The eBank project ended in 2007 but both the application profile and the repository are still available.","abbreviation":null,"support_links":[{"url":"http://www.ukoln.ac.uk/repositories/digirep/index/EBank_Application_Profile.html","name":"Wiki documentation page","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-001306","bsg-s001306"],"name":"FAIRsharing record for: Metadata Application Profile: eBank UK project","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ad4856","doi":"10.25504/FAIRsharing.ad4856","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eBank UK project has created a repository of crystallography datasets (eCrystals) and a metadata profile (Dublin Core Application Profile) has been designed to describe the metadata exposed by the repository using OAI-PMH. The eBank project ended in 2007 but both the application profile and the repository are still available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Natural Science"],"domains":["X-ray crystallography assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5914,"fairsharing_record_id":594,"organisation_id":815,"relation":"maintains","created_at":"2021-09-30T09:27:42.667Z","updated_at":"2021-09-30T09:27:42.667Z","grant_id":null,"is_lead":true,"saved_state":{"id":815,"name":"eBank UK Project, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5916,"fairsharing_record_id":594,"organisation_id":689,"relation":"maintains","created_at":"2021-09-30T09:27:42.723Z","updated_at":"2021-09-30T09:27:42.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":689,"name":"Department of Chemistry, University of Southampton, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5915,"fairsharing_record_id":594,"organisation_id":2901,"relation":"maintains","created_at":"2021-09-30T09:27:42.699Z","updated_at":"2021-09-30T09:27:42.699Z","grant_id":null,"is_lead":false,"saved_state":{"id":2901,"name":"UKOLN, University of Bath, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5917,"fairsharing_record_id":594,"organisation_id":1464,"relation":"maintains","created_at":"2021-09-30T09:27:42.748Z","updated_at":"2021-09-30T09:27:42.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":1464,"name":"Intelligence, Agents \u0026 Multimedia Group, Department of Electronics \u0026 Computer Science, University of Southampton, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"595","type":"fairsharing_records","attributes":{"created_at":"2020-04-26T10:16:15.000Z","updated_at":"2022-07-20T09:06:11.049Z","metadata":{"doi":"10.25504/FAIRsharing.y4RpVy","name":"Data Documentation Initiative Controlled Vocabularies","status":"ready","contacts":[{"contact_name":"Sanda Ionescu","contact_email":"sandai@umich.edu"}],"homepage":"https://ddialliance.org/controlled-vocabularies","citations":[],"identifier":595,"description":"The Data Documentation Initiative (DDI) Controlled Vocabularies Group (CVG) has created a set of controlled vocabularies (CVs) that can be used with DDI as well as for other purposes and applications. The DDI CVs are used to aid in the description and documentation of data in the social science research community. The published DDI-CVs work with both versions of the DDI specification (DDI-L and DDI-C).","abbreviation":"DDI CVs","support_links":[{"url":"https://ddialliance.org/about/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://ddialliance.org/about/about-the-alliance","name":"About","type":"Help documentation"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"},{"url":"https://ddialliance.org/controlled-vocabularies#policy","name":"Versioning Policy","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-001469","bsg-s001469"],"name":"FAIRsharing record for: Data Documentation Initiative Controlled Vocabularies","abbreviation":"DDI CVs","url":"https://fairsharing.org/10.25504/FAIRsharing.y4RpVy","doi":"10.25504/FAIRsharing.y4RpVy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Documentation Initiative (DDI) Controlled Vocabularies Group (CVG) has created a set of controlled vocabularies (CVs) that can be used with DDI as well as for other purposes and applications. The DDI CVs are used to aid in the description and documentation of data in the social science research community. The published DDI-CVs work with both versions of the DDI specification (DDI-L and DDI-C).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17331},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12951},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13345}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2909,"pubmed_id":null,"title":"Controlled Vocabularies for DDI 3: Enhancing Machine-Actionability","year":2010,"url":"https://doi.org/10.29173/iq649","authors":"Taina Jaaskelainen, Meinhard Moschner, Joachim Wackerow","journal":"IASSIST quarterly / International Association for Social Science Information Service and Technology 33(1):34","doi":null,"created_at":"2021-09-30T08:27:58.191Z","updated_at":"2021-09-30T08:27:58.191Z"}],"licence_links":[],"grants":[{"id":5918,"fairsharing_record_id":595,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:27:42.774Z","updated_at":"2021-09-30T09:27:42.774Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"596","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-08-02T20:19:42.310Z","metadata":{"doi":"10.25504/FAIRsharing.q09hck","name":"Social Inset Behavior Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/sibo","citations":[],"identifier":596,"description":"The Social Inset Behavior Ontology mostly contains terms related to Chemical, Anatomy, Behavior, Species. The most developed use cases are for Pogonomyrmex harvester ant foraging and apis mellifera honeybee colony defense.\n","abbreviation":"SIBO","support_links":[],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SIBO","name":"SIBO","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/sibo.html","name":"OBO Foundry - sibo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000772","bsg-s000772"],"name":"FAIRsharing record for: Social Inset Behavior Ontology","abbreviation":"SIBO","url":"https://fairsharing.org/10.25504/FAIRsharing.q09hck","doi":"10.25504/FAIRsharing.q09hck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Social Inset Behavior Ontology mostly contains terms related to Chemical, Anatomy, Behavior, Species. The most developed use cases are for Pogonomyrmex harvester ant foraging and apis mellifera honeybee colony defense.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":[],"taxonomies":["Apis mellifera"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2786,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"597","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:18:09.000Z","updated_at":"2022-11-01T11:58:33.325Z","metadata":{"doi":"10.25504/FAIRsharing.qcziIV","name":"FAIR Metrics - Detailed Provenance","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_R1.2","citations":[],"identifier":597,"description":"FM-R1.2 is a metric concerned with whether there is provenance information associated with the data, covering at least two primary types of provenance information: Who/what/When produced the data (i.e. for citation); and Why/How was the data produced (i.e. to understand context and relevance of the data). Several IRIs must be provided to fulfil this metric. At least one of these points to one of the vocabularies used to describe citational provenance (e.g. dublin core). Additionally, at least one points to one of the vocabularies (likely domain-specific) that is used to describe contextual provenance (e.g. EDAM). This metric applies to part R1.2 of the FAIR Principles.","abbreviation":"FM-R1.2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}]},"legacy_ids":["bsg-001354","bsg-s001354"],"name":"FAIRsharing record for: FAIR Metrics - Detailed Provenance","abbreviation":"FM-R1.2","url":"https://fairsharing.org/10.25504/FAIRsharing.qcziIV","doi":"10.25504/FAIRsharing.qcziIV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-R1.2 is a metric concerned with whether there is provenance information associated with the data, covering at least two primary types of provenance information: Who/what/When produced the data (i.e. for citation); and Why/How was the data produced (i.e. to understand context and relevance of the data). Several IRIs must be provided to fulfil this metric. At least one of these points to one of the vocabularies used to describe citational provenance (e.g. dublin core). Additionally, at least one points to one of the vocabularies (likely domain-specific) that is used to describe contextual provenance (e.g. EDAM). This metric applies to part R1.2 of the FAIR Principles.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13186},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13216}],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1406,"relation":"undefined"}],"grants":[{"id":5919,"fairsharing_record_id":597,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:42.799Z","updated_at":"2021-09-30T09:27:42.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5920,"fairsharing_record_id":597,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:42.826Z","updated_at":"2021-09-30T09:27:42.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5921,"fairsharing_record_id":597,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:42.888Z","updated_at":"2021-09-30T09:27:42.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5922,"fairsharing_record_id":597,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:42.930Z","updated_at":"2021-09-30T09:27:42.930Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"598","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T11:26:29.000Z","updated_at":"2024-05-31T11:09:00.149Z","metadata":{"doi":"10.25504/FAIRsharing.f5d440","name":"Space Physics Archive Search and Extract Simulation Extensions","status":"ready","contacts":[{"contact_name":"Metadata Working Group Contact","contact_email":"vxo-spase-smwg@googlegroups.com"}],"homepage":"http://www.spase-group.org/data/simulation/","citations":[],"identifier":598,"description":"The SPASE Simulation Extensions enables all users and applications of SPASE to integrate simulation data into their (database) systems, adding simulation data searching and handling to what is already possible for observational data. The SPASE Simulation Extensions were originally developed by the Integrated Medium for Planetary Exploration (IMPEx) project and released as the IMPEx Data Model. IMPEx was a European Union (EU) Seventh Framework Programme sponsored project.","abbreviation":"SPASE Simulation Extensions","support_links":[{"url":"https://cordis.europa.eu/result/rcn/175920_en.html","name":"Final Report Summary - IMPEX","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001307","bsg-s001307"],"name":"FAIRsharing record for: Space Physics Archive Search and Extract Simulation Extensions","abbreviation":"SPASE Simulation Extensions","url":"https://fairsharing.org/10.25504/FAIRsharing.f5d440","doi":"10.25504/FAIRsharing.f5d440","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SPASE Simulation Extensions enables all users and applications of SPASE to integrate simulation data into their (database) systems, adding simulation data searching and handling to what is already possible for observational data. The SPASE Simulation Extensions were originally developed by the Integrated Medium for Planetary Exploration (IMPEx) project and released as the IMPEx Data Model. IMPEx was a European Union (EU) Seventh Framework Programme sponsored project.","linked_records":[],"linking_records":[{"linking_record_name":"International Heliophysics Data Environment Alliance","linking_record_id":5484,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19837}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Earth Science"],"domains":["Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5923,"fairsharing_record_id":598,"organisation_id":2606,"relation":"maintains","created_at":"2021-09-30T09:27:42.971Z","updated_at":"2021-09-30T09:27:42.971Z","grant_id":null,"is_lead":true,"saved_state":{"id":2606,"name":"Space Physics Archive Search and Extract (SPASE) Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5924,"fairsharing_record_id":598,"organisation_id":1460,"relation":"maintains","created_at":"2021-09-30T09:27:43.013Z","updated_at":"2021-09-30T09:27:43.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":1460,"name":"Integrated Medium for Planetary Exploration (IMPEX), Austria","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"604","type":"fairsharing_records","attributes":{"created_at":"2018-04-17T12:49:26.000Z","updated_at":"2021-11-24T13:14:22.115Z","metadata":{"doi":"10.25504/FAIRsharing.FSIfv8","name":"Domain Resource Application Ontology","status":"ready","contacts":[{"contact_name":"FAIRsharing Team","contact_email":"contact@fairsharing.org"}],"homepage":"https://github.com/FAIRsharing/domain-ontology","identifier":604,"description":"The Domain Resource Application Ontology (DRAO) is an application ontology describing cross-discipline research domains used within FAIRsharing records by curators and the user community. It is built in conjunction with the Subject Resource Application Ontology (SRAO), which describes higher-level subject areas / disciplines. All classes within DRAO come from over 50 publicly-available ontologies.","abbreviation":"DRAO","support_links":[{"url":"https://github.com/FAIRsharing/domain-ontology/issues","name":"DRAO Issue Tracker","type":"Github"},{"url":"https://github.com/FAIRsharing/domain-ontology/blob/master/Development.md","name":"DRAO Developer and Build Notes","type":"Github"},{"url":"https://twitter.com/FAIRsharing_org","name":"@FAIRsharing_org","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001178","bsg-s001178"],"name":"FAIRsharing record for: Domain Resource Application Ontology","abbreviation":"DRAO","url":"https://fairsharing.org/10.25504/FAIRsharing.FSIfv8","doi":"10.25504/FAIRsharing.FSIfv8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Domain Resource Application Ontology (DRAO) is an application ontology describing cross-discipline research domains used within FAIRsharing records by curators and the user community. It is built in conjunction with the Subject Resource Application Ontology (SRAO), which describes higher-level subject areas / disciplines. All classes within DRAO come from over 50 publicly-available ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Humanities","Natural Science","Earth Science","Agriculture","Life Science","Computer Science","Biomedical Science"],"domains":["Resource metadata","Classification","FAIR"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1937,"relation":"undefined"}],"grants":[{"id":5931,"fairsharing_record_id":604,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:43.292Z","updated_at":"2021-09-30T09:27:43.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"605","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-05-19T09:30:23.773Z","metadata":{"doi":"10.25504/FAIRsharing.2kq1fs","name":"CONsolidated Standards of Reporting Trials - Unofficial Extensions","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":"0000-0002-6881-6984"}],"homepage":"https://www.equator-network.org/?post_type=eq_guidelines\u0026eq_guidelines_study_design=0\u0026eq_guidelines_clinical_specialty=0\u0026eq_guidelines_report_section=0\u0026s=+CONSORT+extension\u0026btn_submit=Search+Reporting+Guidelines","citations":[],"identifier":605,"description":"The main CONSORT Statement is based on the \"standard\" two-group parallel design. There are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). However, this record describes those modifications to the CONSORT guidelines that are NOT developed with the involvement of the CONSORT Group do not have permission to name their work \"CONSORT\". The unofficial extensions described here have modified the CONSORT Statement without the involvement of the Group.\nPlease note the currently-listed homepage includes both official and unofficial CONSORT extensions, while the official CONSORT website is fixed.\n\n","abbreviation":"CONSORT - UE","support_links":[{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"https://twitter.com/CONSORTing","type":"Twitter"}]},"legacy_ids":["bsg-000143","bsg-s000143"],"name":"FAIRsharing record for: CONsolidated Standards of Reporting Trials - Unofficial Extensions","abbreviation":"CONSORT - UE","url":"https://fairsharing.org/10.25504/FAIRsharing.2kq1fs","doi":"10.25504/FAIRsharing.2kq1fs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The main CONSORT Statement is based on the \"standard\" two-group parallel design. There are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). However, this record describes those modifications to the CONSORT guidelines that are NOT developed with the involvement of the CONSORT Group do not have permission to name their work \"CONSORT\". The unofficial extensions described here have modified the CONSORT Statement without the involvement of the Group.\nPlease note the currently-listed homepage includes both official and unofficial CONSORT extensions, while the official CONSORT website is fixed.\n\n","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11978},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12425}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Preclinical Studies"],"domains":["Data acquisition"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1425,"pubmed_id":17200612,"title":"Reporting data on homeopathic treatments (RedHot): a supplement to CONSORT*.","year":2007,"url":"http://doi.org/10.1159/000097073","authors":"Dean ME,Coulter MK,Fisher P,Jobst K,Walach H","journal":"Forsch Komplementmed","doi":"10.1159/000097073","created_at":"2021-09-30T08:24:59.276Z","updated_at":"2021-09-30T08:24:59.276Z"},{"id":1427,"pubmed_id":17309373,"title":"Reporting data on homeopathic treatments (RedHot): a supplement to CONSORT.","year":2007,"url":"http://doi.org/10.1089/acm.2006.6352","authors":"Dean ME,Coulter MK,Fisher P,Jobst KA,Walach H","journal":"J Altern Complement Med","doi":"10.1089/acm.2006.6352","created_at":"2021-09-30T08:24:59.585Z","updated_at":"2021-09-30T08:24:59.585Z"},{"id":1535,"pubmed_id":17227747,"title":"Reporting data on homeopathic treatments (RedHot): a supplement to CONSORT.","year":2007,"url":"http://doi.org/10.1016/j.homp.2006.11.006","authors":"Dean ME,Coulter MK,Fisher P,Jobst K,Walach H","journal":"Homeopathy","doi":"10.1016/j.homp.2006.11.006","created_at":"2021-09-30T08:25:11.894Z","updated_at":"2021-09-30T08:25:11.894Z"},{"id":1536,"pubmed_id":18334139,"title":"[Improving the quality of reporting Chinese herbal medicine trials: an elaborated checklist].","year":2008,"url":"http://doi.org/10.3736/jcim20080302","authors":"Fei YT,Liu JP","journal":"Zhong Xi Yi Jie He Xue Bao","doi":"10.3736/jcim20080302","created_at":"2021-09-30T08:25:12.003Z","updated_at":"2021-09-30T08:25:12.003Z"},{"id":1537,"pubmed_id":14763633,"title":"Randomized controlled trials to investigate occupational therapy research questions.","year":2004,"url":"http://doi.org/10.5014/ajot.58.1.24","authors":"Nelson DL,Mathiowetz V","journal":"Am J Occup Ther","doi":"10.5014/ajot.58.1.24","created_at":"2021-09-30T08:25:12.174Z","updated_at":"2021-09-30T08:25:12.174Z"},{"id":1538,"pubmed_id":14644692,"title":"Evidence-based behavioral medicine: what is it and how do we achieve it?","year":2003,"url":"http://doi.org/10.1207/S15324796ABM2603_01","authors":"Davidson KW,Goldstein M,Kaplan RM,Kaufmann PG,Knatterud GL,Orleans CT,Spring B,Trudeau KJ,Whitlock EP","journal":"Ann Behav Med","doi":"10.1207/S15324796ABM2603_01","created_at":"2021-09-30T08:25:12.278Z","updated_at":"2021-09-30T08:25:12.278Z"},{"id":3836,"pubmed_id":null,"title":"An update to SPIRIT and CONSORT reporting guidelines to enhance transparency in randomized trials","year":2022,"url":"http://dx.doi.org/10.1038/s41591-022-01989-8","authors":"Hopewell, Sally; Boutron, Isabelle; Chan, An-Wen; Collins, Gary S.; de Beyer, Jennifer A.; Hróbjartsson, Asbjørn; Nejstgaard, Camilla Hansen; Østengaard, Lasse; Schulz, Kenneth F.; Tunn, Ruth; Moher, David; ","journal":"Nat Med","doi":"10.1038/s41591-022-01989-8","created_at":"2023-04-05T14:03:34.297Z","updated_at":"2023-04-05T14:03:34.297Z"}],"licence_links":[],"grants":[{"id":5932,"fairsharing_record_id":605,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:43.315Z","updated_at":"2021-09-30T09:27:43.315Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5934,"fairsharing_record_id":605,"organisation_id":81,"relation":"funds","created_at":"2021-09-30T09:27:43.371Z","updated_at":"2021-09-30T09:27:43.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":81,"name":"American Occupational Therapy Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5933,"fairsharing_record_id":605,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:27:43.341Z","updated_at":"2021-09-30T09:27:43.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5935,"fairsharing_record_id":605,"organisation_id":80,"relation":"funds","created_at":"2021-09-30T09:27:43.410Z","updated_at":"2021-09-30T09:27:43.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":80,"name":"American Occupational Therapy Association, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"618","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T13:48:07.000Z","updated_at":"2022-07-20T11:05:16.221Z","metadata":{"doi":"10.25504/FAIRsharing.d0a681","name":"EuroVoc","status":"ready","contacts":[],"homepage":"https://op.europa.eu/en/web/eu-vocabularies/th-dataset/-/resource/dataset/eurovoc","citations":[],"identifier":618,"description":"EuroVoc is a multilingual, multidisciplinary thesaurus covering the activities of the EU, the European Parliament in particular. It contains terms in 23 official EU languages, plus in three languages of countries which are candidates for EU accession. The aim of the thesaurus is to provide the information management and dissemination services with a coherent indexing tool for the effective management of their documentary resources and to enable users to carry out documentary searches using a controlled vocabulary.","abbreviation":"EuroVoc","support_links":[{"url":"https://op.europa.eu/en/web/about-us/contact-us","name":"Publications Office Contact Form","type":"Contact form"},{"url":"https://op.europa.eu/o/opportal-service/euvoc-download-handler?cellarURI=http%3A%2F%2Fpublications.europa.eu%2Fresource%2Fdistribution%2Fdocumentation%2Feurovoc%2Fhandbook%2Fpdf%2Fstddoc%2FEuroVoc-Handbook.pdf\u0026fileName=EuroVoc-Handbook.pdf","name":"Documentation","type":"Help documentation"}],"year_creation":1982},"legacy_ids":["bsg-001553","bsg-s001553"],"name":"FAIRsharing record for: EuroVoc","abbreviation":"EuroVoc","url":"https://fairsharing.org/10.25504/FAIRsharing.d0a681","doi":"10.25504/FAIRsharing.d0a681","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EuroVoc is a multilingual, multidisciplinary thesaurus covering the activities of the EU, the European Parliament in particular. It contains terms in 23 official EU languages, plus in three languages of countries which are candidates for EU accession. The aim of the thesaurus is to provide the information management and dissemination services with a coherent indexing tool for the effective management of their documentary resources and to enable users to carry out documentary searches using a controlled vocabulary.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Fisheries Science","Public Finance","Environmental Science","Forest Management","Transportation Planning","Social Science","Geography","Energy Engineering","Business Administration","Agriculture","Social Policy","Linguistics","Political Science"],"domains":["Food","Transport"],"taxonomies":["Not applicable"],"user_defined_tags":["Employment","International Relations","Trade"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":5955,"fairsharing_record_id":618,"organisation_id":2381,"relation":"maintains","created_at":"2021-09-30T09:27:43.999Z","updated_at":"2021-09-30T09:27:43.999Z","grant_id":null,"is_lead":true,"saved_state":{"id":2381,"name":"Publications Office of the European Union","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"619","type":"fairsharing_records","attributes":{"created_at":"2015-08-18T09:44:38.000Z","updated_at":"2021-11-24T13:20:13.355Z","metadata":{"doi":"10.25504/FAIRsharing.6xm1gd","name":"STereoLithography","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"healthcare@3dsystems.com"}],"homepage":"http://www.3dsystems.com/quickparts/learning-center/what-is-stl-file","citations":[],"identifier":619,"description":"STL files describe only the surface geometry of a three-dimensional object without any representation of color, texture or other common CAD model attributes. The STL format specifies both ASCII and binary representations.","abbreviation":"STL","support_links":[{"url":"http://www.3dsystems.com/contact#odm","type":"Contact form"},{"url":"https://en.wikipedia.org/wiki/STL_(file_format)","name":"Wikipedia","type":"Wikipedia"}],"year_creation":1987},"legacy_ids":["bsg-000616","bsg-s000616"],"name":"FAIRsharing record for: STereoLithography","abbreviation":"STL","url":"https://fairsharing.org/10.25504/FAIRsharing.6xm1gd","doi":"10.25504/FAIRsharing.6xm1gd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STL files describe only the surface geometry of a three-dimensional object without any representation of color, texture or other common CAD model attributes. The STL format specifies both ASCII and binary representations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Imaging","Structure"],"taxonomies":["Not applicable"],"user_defined_tags":["3d printing"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5956,"fairsharing_record_id":619,"organisation_id":6,"relation":"maintains","created_at":"2021-09-30T09:27:44.025Z","updated_at":"2021-09-30T09:27:44.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":6,"name":"3D Systems, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"611","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-03-24T10:53:52.890Z","metadata":{"doi":"10.25504/FAIRsharing.faej7j","name":"Phallusia mammillata Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":611,"description":"The first ontology describing the anatomy and the development of Phallusia mammillata.","abbreviation":"PHMAMMADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHMAMMADO","name":"PHMAMMADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000786","bsg-s000786"],"name":"FAIRsharing record for: Phallusia mammillata Anatomy and Development Ontology","abbreviation":"PHMAMMADO","url":"https://fairsharing.org/10.25504/FAIRsharing.faej7j","doi":"10.25504/FAIRsharing.faej7j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Phallusia mammillata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Phallusia mammillata"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10455,"fairsharing_record_id":611,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T10:51:32.605Z","updated_at":"2023-03-24T10:51:32.605Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"612","type":"fairsharing_records","attributes":{"created_at":"2021-01-11T14:14:36.000Z","updated_at":"2022-07-20T12:35:42.229Z","metadata":{"doi":"10.25504/FAIRsharing.5bd3ef","name":"United States Geological Survey Thesaurus","status":"ready","contacts":[{"contact_email":"pschweitzer@usgs.gov"}],"homepage":"https://apps.usgs.gov/thesaurus/","citations":[],"identifier":612,"description":"The United States Geological Survey Thesaurus (USGS Thesaurus) is a controlled vocabulary providing category terms for scientific information products generated by the U.S. Geological Survey. It is designed as a formal thesaurus conforming to ANSI/NISO Z39.19. The thesaurus is limited in depth and specificity of coverage. It does not attempt to replicate existing controlled vocabularies. The intention is to provide sufficient contextual cues for the information seeker to determine the relevance of a resource, not to precisely locate the answer to a specific user question.","abbreviation":"USGS Thesaurus","support_links":[{"url":"https://apps.usgs.gov/thesaurus/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005},"legacy_ids":["bsg-001575","bsg-s001575"],"name":"FAIRsharing record for: United States Geological Survey Thesaurus","abbreviation":"USGS Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.5bd3ef","doi":"10.25504/FAIRsharing.5bd3ef","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The United States Geological Survey Thesaurus (USGS Thesaurus) is a controlled vocabulary providing category terms for scientific information products generated by the U.S. Geological Survey. It is designed as a formal thesaurus conforming to ANSI/NISO Z39.19. The thesaurus is limited in depth and specificity of coverage. It does not attempt to replicate existing controlled vocabularies. The intention is to provide sufficient contextual cues for the information seeker to determine the relevance of a resource, not to precisely locate the answer to a specific user question.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Data Management","Natural Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"USGS Policies and Notices","licence_id":834,"licence_url":"https://www.usgs.gov/policies-and-notices","link_id":626,"relation":"undefined"}],"grants":[{"id":5939,"fairsharing_record_id":612,"organisation_id":2953,"relation":"maintains","created_at":"2021-09-30T09:27:43.550Z","updated_at":"2021-09-30T09:27:43.550Z","grant_id":null,"is_lead":true,"saved_state":{"id":2953,"name":"United States Geological Survey (USGS)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"620","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:39.235Z","metadata":{"doi":"10.25504/FAIRsharing.rz4vfg","name":"FASTA Sequence Format","status":"ready","contacts":[{"contact_name":"William R. Pearson","contact_email":"wrp@virginia.edu"}],"homepage":"http://blast.ncbi.nlm.nih.gov/blastcgihelp.shtml","identifier":620,"description":"FASTA format is a text-based format for representing either nucleotide sequences or peptide sequences, in which nucleotides or amino acids are represented using single-letter codes. The format also allows for sequence names and comments to precede the sequences.","abbreviation":"FASTA","support_links":[{"url":"https://www.ncbi.nlm.nih.gov/mailman/listinfo/blast-announce","name":"mailing list","type":"Mailing list"}],"year_creation":1985},"legacy_ids":["bsg-000228","bsg-s000228"],"name":"FAIRsharing record for: FASTA Sequence Format","abbreviation":"FASTA","url":"https://fairsharing.org/10.25504/FAIRsharing.rz4vfg","doi":"10.25504/FAIRsharing.rz4vfg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FASTA format is a text-based format for representing either nucleotide sequences or peptide sequences, in which nucleotides or amino acids are represented using single-letter codes. The format also allows for sequence names and comments to precede the sequences.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10997},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11158},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11613},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11987}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1237,"pubmed_id":2983426,"title":"Rapid and sensitive protein similarity searches.","year":1985,"url":"http://doi.org/10.1126/science.2983426","authors":"Lipman DJ,Pearson WR","journal":"Science","doi":"10.1126/science.2983426","created_at":"2021-09-30T08:24:37.999Z","updated_at":"2021-09-30T08:24:37.999Z"}],"licence_links":[],"grants":[{"id":5957,"fairsharing_record_id":620,"organisation_id":2944,"relation":"maintains","created_at":"2021-09-30T09:27:44.049Z","updated_at":"2021-09-30T09:27:44.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5958,"fairsharing_record_id":620,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:44.075Z","updated_at":"2021-09-30T09:27:44.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"707","type":"fairsharing_records","attributes":{"created_at":"2020-01-08T13:37:40.000Z","updated_at":"2022-07-20T09:33:31.909Z","metadata":{"name":"Thesaurus of Plant Characteristics","status":"deprecated","contacts":[{"contact_name":"Eric Garnier","contact_email":"Eric.GARNIER@cefe.cnrs.fr"}],"homepage":"http://top-thesaurus.org/","citations":[{"doi":"https://doi.org/10.1111/1365-2745.12698","publication_id":2694}],"identifier":707,"description":"TOP, a Thesaurus Of Plant characteristics, defines standards for a functional approach to plant diversity by stabilizing the terminology for concepts widely used in ecology and evolution. TOP provides names, definitions, formal units and synonyms for more than 700 plant characteristics: plant traits and environmental associations. ","abbreviation":"TOP","year_creation":2016,"deprecation_date":"2022-06-30","deprecation_reason":"This record has been deprecated because the homepage no longer works, and we have not been able to get in touch with the contacts listed for this resource. Although this ontology remains available via the AgroPortal links, please use with caution. If you have any information regarding this resource, please get in touch."},"legacy_ids":["bsg-001427","bsg-s001427"],"name":"FAIRsharing record for: Thesaurus of Plant Characteristics","abbreviation":"TOP","url":"https://fairsharing.org/fairsharing_records/707","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TOP, a Thesaurus Of Plant characteristics, defines standards for a functional approach to plant diversity by stabilizing the terminology for concepts widely used in ecology and evolution. TOP provides names, definitions, formal units and synonyms for more than 700 plant characteristics: plant traits and environmental associations. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Environmental Science","Ecology","Biodiversity"],"domains":["Evolution","Phenotype"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Argentina","Australia","Canada","France","Germany","India","Italy","Netherlands","United States"],"publications":[{"id":2694,"pubmed_id":null,"title":"Towards a thesaurus of plant characteristics: an ecological contribution","year":2016,"url":"http://doi.org/https://doi.org/10.1111/1365-2745.12698","authors":"Garnier, Eric and Stahl, Ulrike et al","journal":"Journal of Ecology","doi":"https://doi.org/10.1111/1365-2745.12698","created_at":"2021-09-30T08:27:30.863Z","updated_at":"2021-09-30T08:27:30.863Z"}],"licence_links":[],"grants":[{"id":6055,"fairsharing_record_id":707,"organisation_id":1782,"relation":"maintains","created_at":"2021-09-30T09:27:47.371Z","updated_at":"2021-09-30T09:27:47.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":1782,"name":"Max Planck Institute for Biogeochemistry","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6053,"fairsharing_record_id":707,"organisation_id":3101,"relation":"maintains","created_at":"2021-09-30T09:27:47.320Z","updated_at":"2021-09-30T09:27:47.320Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6054,"fairsharing_record_id":707,"organisation_id":1134,"relation":"maintains","created_at":"2021-09-30T09:27:47.344Z","updated_at":"2021-09-30T09:27:47.344Z","grant_id":null,"is_lead":false,"saved_state":{"id":1134,"name":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6056,"fairsharing_record_id":707,"organisation_id":390,"relation":"maintains","created_at":"2021-09-30T09:27:47.394Z","updated_at":"2021-09-30T09:27:47.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":390,"name":"CEFE, Montpellier, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"708","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T14:26:08.000Z","updated_at":"2021-11-24T13:17:08.623Z","metadata":{"doi":"10.25504/FAIRsharing.338ze0","name":"Astronomy Visualization Metadata","status":"ready","contacts":[{"contact_name":"Robert Hurt","contact_email":"hurt@ipac.caltech.edu"}],"homepage":"https://www.virtualastronomy.org/avm_metadata.php","identifier":708,"description":"The primary focus of the AVM standard is on print-ready and screen ready astronomical imagery, which has been rendered from telescopic observations (also known as “pretty pictures”). Such images can combine data acquired at different wavebands and from different observatories. While the primary intent is to cover data-derived astronomical images, there are broader uses as well. Specifically, the most general subset of this schema is also appropriate for describing artwork and illustrations of astronomical subject matter.","abbreviation":"AVM","support_links":[{"url":"https://www.virtualastronomy.org/AVM_DRAFTVersion12_rlh02.pdf","name":"Specification Document (pdf)","type":"Help documentation"},{"url":"https://www.virtualastronomy.org/files/AVM-Tagging-Guidelines_15_updated2.pdf","name":"User Guide (pdf)","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000707","bsg-s000707"],"name":"FAIRsharing record for: Astronomy Visualization Metadata","abbreviation":"AVM","url":"https://fairsharing.org/10.25504/FAIRsharing.338ze0","doi":"10.25504/FAIRsharing.338ze0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary focus of the AVM standard is on print-ready and screen ready astronomical imagery, which has been rendered from telescopic observations (also known as “pretty pictures”). Such images can combine data acquired at different wavebands and from different observatories. While the primary intent is to cover data-derived astronomical images, there are broader uses as well. Specifically, the most general subset of this schema is also appropriate for describing artwork and illustrations of astronomical subject matter.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Imaging"],"taxonomies":["Not applicable"],"user_defined_tags":["Extragalactic objects","Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6057,"fairsharing_record_id":708,"organisation_id":1547,"relation":"undefined","created_at":"2021-09-30T09:27:47.420Z","updated_at":"2021-09-30T09:27:47.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":1547,"name":"IPAC","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":6059,"fairsharing_record_id":708,"organisation_id":2617,"relation":"undefined","created_at":"2021-09-30T09:27:47.470Z","updated_at":"2021-09-30T09:27:47.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":2617,"name":"Spritzer Science Center","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":6058,"fairsharing_record_id":708,"organisation_id":880,"relation":"maintains","created_at":"2021-09-30T09:27:47.444Z","updated_at":"2021-09-30T09:27:47.444Z","grant_id":null,"is_lead":false,"saved_state":{"id":880,"name":"ESA Science and Technology Hubble","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6060,"fairsharing_record_id":708,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:27:47.494Z","updated_at":"2021-09-30T09:27:47.494Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"709","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T10:02:20.000Z","updated_at":"2024-01-28T15:58:08.410Z","metadata":{"doi":"10.25504/FAIRsharing.9d38e2","name":"Uniform Resource Locator","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"ietf-info@ietf.org"}],"homepage":"https://tools.ietf.org/html/rfc1630","citations":[],"identifier":709,"description":"URL (Uniform Resource Locator) – the typical \"address\" of web content. It is a kind of URI (Uniform Resource Identifier) that begins with \"http://\" and consists of a string of characters used to identify or name a resource on the Internet. Such identification enables interaction with representations of the resource over a network, typically the World Wide Web, using the HTTP protocol. Well-managed URL redirection can make URLs as persistent as any identifier. Resolution depends on HTTP redirection and can be managed through an API or a user interface. A URL is a type of URI that identifies a resource via a representation of its primary access mechanism (e.g., its network \"location\"), rather than by some other attributes it may have (see https://www.w3.org/TR/uri-clarification/#contemporary).","abbreviation":"URL","support_links":[{"url":"https://www.ietf.org/rfc/rfc2718.txt","name":"Guidelines for New URL Schemes","type":"Help documentation"},{"url":"https://www.ietf.org/rfc/rfc2717.txt","name":"Registration Procedures for URL Scheme Names","type":"Help documentation"}],"year_creation":1994,"regular_expression":"^(ftp|http|https):\\/\\/[^ \"]+$"},"legacy_ids":["bsg-001186","bsg-s001186"],"name":"FAIRsharing record for: Uniform Resource Locator","abbreviation":"URL","url":"https://fairsharing.org/10.25504/FAIRsharing.9d38e2","doi":"10.25504/FAIRsharing.9d38e2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: URL (Uniform Resource Locator) – the typical \"address\" of web content. It is a kind of URI (Uniform Resource Identifier) that begins with \"http://\" and consists of a string of characters used to identify or name a resource on the Internet. Such identification enables interaction with representations of the resource over a network, typically the World Wide Web, using the HTTP protocol. Well-managed URL redirection can make URLs as persistent as any identifier. Resolution depends on HTTP redirection and can be managed through an API or a user interface. A URL is a type of URI that identifies a resource via a representation of its primary access mechanism (e.g., its network \"location\"), rather than by some other attributes it may have (see https://www.w3.org/TR/uri-clarification/#contemporary).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17384}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":3016,"relation":"applies_to_content"}],"grants":[{"id":9663,"fairsharing_record_id":709,"organisation_id":3167,"relation":"maintains","created_at":"2022-07-11T12:31:45.761Z","updated_at":"2022-07-28T23:41:32.082Z","grant_id":null,"is_lead":true,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":9706,"fairsharing_record_id":709,"organisation_id":3387,"relation":"maintains","created_at":"2022-07-28T23:41:32.146Z","updated_at":"2022-07-28T23:41:32.146Z","grant_id":null,"is_lead":true,"saved_state":{"id":3387,"name":"Office of Scientific and Technical Information","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":6061,"fairsharing_record_id":709,"organisation_id":1541,"relation":"maintains","created_at":"2021-09-30T09:27:47.520Z","updated_at":"2021-09-30T09:27:47.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":1541,"name":"Internet Engineering Task Force (IEFT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"710","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-07-20T11:45:05.802Z","metadata":{"doi":"10.25504/FAIRsharing.j4encb","name":"XEML Environment Ontology","status":"deprecated","contacts":[{"contact_name":"Kenny Billiau","contact_email":"kenny.billiau@ki.se"}],"homepage":"http://xeo.codeplex.com/","identifier":710,"description":"XeO has been created to help plant scientists in documenting and sharing metadata describing the abiotic environment.","abbreviation":"XEO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/XEO","name":"XEO","portal":"BioPortal"}],"deprecation_date":"2020-02-04","deprecation_reason":"The project homepage no longer exists, and we cannot find a current project site. Please get in touch if you have any additional information."},"legacy_ids":["bsg-000849","bsg-s000849"],"name":"FAIRsharing record for: XEML Environment Ontology","abbreviation":"XEO","url":"https://fairsharing.org/10.25504/FAIRsharing.j4encb","doi":"10.25504/FAIRsharing.j4encb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XeO has been created to help plant scientists in documenting and sharing metadata describing the abiotic environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Experimental measurement","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1089,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"711","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-12-21T14:57:24.617Z","metadata":{"doi":"10.25504/FAIRsharing.rfrsk4","name":"Tribolium Ontology","status":"deprecated","contacts":[{"contact_name":"Jürgen Dönitz, Daniela Grossmann","contact_email":"ontology@ibeetle-base.uni-goettingen.de"}],"homepage":"http://ibeetle-base.uni-goettingen.de/ontology/overview.jsf","citations":[],"identifier":711,"description":"TrOn is an ontology about the anatomical structures of the red flour beetle Tribolium castaneum in the developmental stages larva, pupa and adult.","abbreviation":"TRON","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TRON","name":"TRON","portal":"BioPortal"}],"deprecation_date":"2022-10-05","deprecation_reason":"The project homepage is available, however the ontology is no longer accessible, and BioPortal version has not been updated since 2013."},"legacy_ids":["bsg-000850","bsg-s000850"],"name":"FAIRsharing record for: Tribolium Ontology","abbreviation":"TRON","url":"https://fairsharing.org/10.25504/FAIRsharing.rfrsk4","doi":"10.25504/FAIRsharing.rfrsk4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TrOn is an ontology about the anatomical structures of the red flour beetle Tribolium castaneum in the developmental stages larva, pupa and adult.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":9971,"fairsharing_record_id":711,"organisation_id":3731,"relation":"maintains","created_at":"2022-10-06T13:50:25.235Z","updated_at":"2022-10-06T13:50:25.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":3731,"name":"University of Göttingen","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"712","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T15:34:36.388Z","metadata":{"doi":"10.25504/FAIRsharing.drnvw0","name":"International Classification for Patient Safety","status":"ready","contacts":[{"contact_name":"Oscar Corcho","contact_email":"ocorcho@fi.upm.es","contact_orcid":"0000-0002-9260-0753"}],"homepage":"https://www.who.int/publications/i/item/WHO-IER-PSP-2010.2","citations":[],"identifier":712,"description":"The International Classification for Patient Safety (ICPS) is intended to define, harmonize and group patient safety concepts into an internationally agreed classification in a way that is conducive to learning and improving patient safety across systems. It should be noted that the conceptual framework for the ICPS is not a classification. Instead it describes a comprehensive information model for understanding the epistemology of patient safety incidents.","abbreviation":"ICPS","support_links":[],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICPS","name":"ICPS","portal":"BioPortal"}]},"legacy_ids":["bsg-002672","bsg-s002672"],"name":"FAIRsharing record for: International Classification for Patient Safety","abbreviation":"ICPS","url":"https://fairsharing.org/10.25504/FAIRsharing.drnvw0","doi":"10.25504/FAIRsharing.drnvw0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification for Patient Safety (ICPS) is intended to define, harmonize and group patient safety concepts into an internationally agreed classification in a way that is conducive to learning and improving patient safety across systems. It should be noted that the conceptual framework for the ICPS is not a classification. Instead it describes a comprehensive information model for understanding the epistemology of patient safety incidents.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12451}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Primary Health Care","Biomedical Science"],"domains":["Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","France","Netherlands","Spain","United Kingdom","United States"],"publications":[{"id":2752,"pubmed_id":19147595,"title":"Towards an International Classification for Patient Safety: the conceptual framework.","year":2009,"url":"http://doi.org/10.1093/intqhc/mzn054","authors":"Sherman H,Castro G,Fletcher M,Hatlie M,Hibbert P,Jakob R,Koss R,Lewalle P,Loeb J,Perneger T,Runciman W,Thomson R,Van Der Schaaf T,Virtanen M","journal":"Int J Qual Health Care","doi":"10.1093/intqhc/mzn054","created_at":"2021-09-30T08:27:38.315Z","updated_at":"2021-09-30T08:27:38.315Z"}],"licence_links":[],"grants":[{"id":6062,"fairsharing_record_id":712,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:47.544Z","updated_at":"2021-09-30T09:27:47.544Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6063,"fairsharing_record_id":712,"organisation_id":2249,"relation":"maintains","created_at":"2021-09-30T09:27:47.570Z","updated_at":"2021-09-30T09:27:47.570Z","grant_id":null,"is_lead":false,"saved_state":{"id":2249,"name":"Ontology Engineering Group, Universidad Politecnica de Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"714","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-12-27T17:19:57.975Z","metadata":{"doi":"10.25504/FAIRsharing.m40bhw","name":"Agronomy Ontology","status":"in_development","contacts":[{"contact_name":"Marie-Angélique Laporte","contact_email":"m.a.laporte@cgiar.org"}],"homepage":"https://bigdata.cgiar.org/resources/agronomy-ontology/","citations":[],"identifier":714,"description":"AgrO, the Agronomy Ontology, describes agronomic practices, agronomic techniques, and agronomic variables used in agronomic experiments. AgrO is being built by CGIAR using traits identified by agronomists, the ICASA variables, and other existing ontologies such as ENVO, UO, and PATO. It will complement existing crop, livestock, and fish ontologies to enable harmonized approaches to data collection, facilitating easier data sharing and reuse. A key use case for AgrO is the Agronomy Field Information Management System (AgroFIMS). AgroFIMS enables digital collection of agronomic data that is semantically described a priori with agronomic terms from AgrO.","abbreviation":"AgrO","support_links":[{"url":"https://github.com/AgriculturalSemantics/agro/issues/","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://groups.google.com/group/agronomyOntology","name":"Google Group","type":"Mailing list"}],"year_creation":2016,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AGRO","name":"AGRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/agro.html","name":"agro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000733","bsg-s000733"],"name":"FAIRsharing record for: Agronomy Ontology","abbreviation":"AgrO","url":"https://fairsharing.org/10.25504/FAIRsharing.m40bhw","doi":"10.25504/FAIRsharing.m40bhw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AgrO, the Agronomy Ontology, describes agronomic practices, agronomic techniques, and agronomic variables used in agronomic experiments. AgrO is being built by CGIAR using traits identified by agronomists, the ICASA variables, and other existing ontologies such as ENVO, UO, and PATO. It will complement existing crop, livestock, and fish ontologies to enable harmonized approaches to data collection, facilitating easier data sharing and reuse. A key use case for AgrO is the Agronomy Field Information Management System (AgroFIMS). AgroFIMS enables digital collection of agronomic data that is semantically described a priori with agronomic terms from AgrO.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14556}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Plant Breeding","Agronomy","Agriculture"],"domains":["Cropping systems"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":61,"relation":"undefined"}],"grants":[{"id":6065,"fairsharing_record_id":714,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:47.621Z","updated_at":"2021-09-30T09:27:47.621Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6066,"fairsharing_record_id":714,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:47.645Z","updated_at":"2021-09-30T09:27:47.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"676","type":"fairsharing_records","attributes":{"created_at":"2018-08-22T17:45:14.000Z","updated_at":"2023-09-29T11:54:57.024Z","metadata":{"doi":"10.25504/FAIRsharing.98c4f4","name":"Information technology -- Hypermedia/Time-based Structuring Language (HyTime)","status":"ready","contacts":[{"contact_name":"Toshiko Kimura","contact_email":"kimura@itscj.ipsj.or.jp"}],"homepage":"https://www.iso.org/standard/29303.html","citations":[],"identifier":676,"description":"The Hypermedia/Time-based Structuring Language (HyTime), defined in this International Standard, provides facilities for representing static and dynamic information that is processed and interchanged by hypertext and multimedia applications. HyTime is an application of ISO 8879, the Standard Generalized Markup Language (SGML). HyTime provides standardized mechanisms for specifying interconnections (hyperlinks) within and between documents and other information objects, and for scheduling multimedia information in time and space.","abbreviation":"ISO/IEC 10744:1997","support_links":[{"url":"https://www.iso.org/contents/data/standard/02/93/29303.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1992},"legacy_ids":["bsg-001243","bsg-s001243"],"name":"FAIRsharing record for: Information technology -- Hypermedia/Time-based Structuring Language (HyTime)","abbreviation":"ISO/IEC 10744:1997","url":"https://fairsharing.org/10.25504/FAIRsharing.98c4f4","doi":"10.25504/FAIRsharing.98c4f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hypermedia/Time-based Structuring Language (HyTime), defined in this International Standard, provides facilities for representing static and dynamic information that is processed and interchanged by hypertext and multimedia applications. HyTime is an application of ISO 8879, the Standard Generalized Markup Language (SGML). HyTime provides standardized mechanisms for specifying interconnections (hyperlinks) within and between documents and other information objects, and for scheduling multimedia information in time and space.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":878,"relation":"undefined"}],"grants":[{"id":6031,"fairsharing_record_id":676,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:27:46.602Z","updated_at":"2021-09-30T09:27:46.602Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10913,"fairsharing_record_id":676,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:06:03.518Z","updated_at":"2023-09-27T14:06:03.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"677","type":"fairsharing_records","attributes":{"created_at":"2018-10-23T18:13:59.000Z","updated_at":"2023-04-20T16:28:03.139Z","metadata":{"doi":"10.25504/FAIRsharing.8641d5","name":"OpenAIRE Guidelines for CRIS Managers based on CERIF-XML","status":"ready","contacts":[{"contact_name":"Jochen Schirrwagen","contact_email":"jochen.schirrwagen@uni-bielefeld.de","contact_orcid":"0000-0002-0458-1004"}],"homepage":"https://guidelines.openaire.eu/en/latest/cris/index.html","citations":[],"identifier":677,"description":"The Guidelines provide orientation for CRIS managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. By implementing the Guidelines, CRIS managers support the inclusion and therefore the reuse of metadata in their systems within the OpenAIRE infrastructure.","abbreviation":null,"support_links":[{"url":"https://github.com/openaire/guidelines-cris-managers","name":"GitHub feedback","type":"Github"},{"url":"https://openaire-guidelines-for-cris-managers.readthedocs.io/en/latest/","type":"Help documentation"},{"url":"https://zenodo.org/record/2316420#.XlN_B5NKg6g","name":"OpenAIRE Guidelines for CRIS Managers 1.1","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001333","bsg-s001333"],"name":"FAIRsharing record for: OpenAIRE Guidelines for CRIS Managers based on CERIF-XML","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8641d5","doi":"10.25504/FAIRsharing.8641d5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Guidelines provide orientation for CRIS managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. By implementing the Guidelines, CRIS managers support the inclusion and therefore the reuse of metadata in their systems within the OpenAIRE infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12947},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13343}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":413,"relation":"undefined"}],"grants":[{"id":6032,"fairsharing_record_id":677,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:46.628Z","updated_at":"2021-09-30T09:27:46.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9710,"fairsharing_record_id":677,"organisation_id":2252,"relation":"maintains","created_at":"2022-07-29T13:01:45.795Z","updated_at":"2022-07-29T13:01:45.795Z","grant_id":null,"is_lead":true,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"678","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-07-20T13:10:29.557Z","metadata":{"doi":"10.25504/FAIRsharing.nbfwwv","name":"Provenance, Authoring and Versioning Ontology","status":"ready","contacts":[{"contact_name":"Stian Soiland-Reyes","contact_email":"stian@soiland-reyes.com","contact_orcid":"0000-0001-9842-9718"}],"homepage":"https://github.com/pav-ontology/pav/","identifier":678,"description":"PAV is a lightweight ontology for tracking Provenance, Authoring and Versioning. PAV specializes the W3C provenance ontology PROV-O in order to describe authorship, curation and digital creation of online resources. This ontology describes the defined PAV properties and their usage. Note that PAV does not define any explicit classes or domain/ranges, as every property is meant to be used directly on the described online resource.","abbreviation":"PAV","support_links":[{"url":"paolo.ciccarese@gmail.com","name":"Paolo Ciccarese","type":"Support email"},{"url":"https://groups.google.com/forum/#!forum/pav-ontology","name":"PAV Forum","type":"Forum"},{"url":"https://github.com/pav-ontology/pav/wiki/","name":"Usage","type":"Github"},{"url":"http://pav-ontology.github.io/pav/","name":"Ontology documentation","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PAV","name":"PAV","portal":"BioPortal"}]},"legacy_ids":["bsg-001060","bsg-s001060"],"name":"FAIRsharing record for: Provenance, Authoring and Versioning Ontology","abbreviation":"PAV","url":"https://fairsharing.org/10.25504/FAIRsharing.nbfwwv","doi":"10.25504/FAIRsharing.nbfwwv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PAV is a lightweight ontology for tracking Provenance, Authoring and Versioning. PAV specializes the W3C provenance ontology PROV-O in order to describe authorship, curation and digital creation of online resources. This ontology describes the defined PAV properties and their usage. Note that PAV does not define any explicit classes or domain/ranges, as every property is meant to be used directly on the described online resource.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16995}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Subject Agnostic"],"domains":["Citation","Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France","United Kingdom","United States"],"publications":[{"id":985,"pubmed_id":24267948,"title":"PAV ontology: provenance, authoring and versioning.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-37","authors":"Ciccarese P,Soiland-Reyes S,Belhajjame K,Gray AJ,Goble C,Clark T","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-37","created_at":"2021-09-30T08:24:08.997Z","updated_at":"2021-09-30T08:24:08.997Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1286,"relation":"undefined"}],"grants":[{"id":6033,"fairsharing_record_id":678,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:27:46.660Z","updated_at":"2021-09-30T09:27:46.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6034,"fairsharing_record_id":678,"organisation_id":1838,"relation":"maintains","created_at":"2021-09-30T09:27:46.685Z","updated_at":"2021-09-30T09:27:46.685Z","grant_id":null,"is_lead":false,"saved_state":{"id":1838,"name":"MIND Informatics, Mass General Hospital, Harvard Medical School, Boston, MA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"679","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T13:33:00.000Z","updated_at":"2022-12-14T08:23:59.118Z","metadata":{"doi":"10.25504/FAIRsharing.AcUAbT","name":"Simulation Data Model","status":"ready","contacts":[{"contact_name":"IVOA Theory Interest Group","contact_email":"theory@ivoa.net"}],"homepage":"http://ivoa.net/documents/SimDM/index.html","citations":[{"publication_id":2943}],"identifier":679,"description":"The Simulation Data Model describes numerical computer simulations of astrophysical systems. The primary goal of this standard is to support discovery of simulations by describing those aspects of them that scientists might wish to query on, i.e. it is a model for meta-data describing simulations. This document does not propose a protocol for using this model. IVOA protocols are being developed and are supposed to use the model, either in its original form or in a form derived from the model proposed here, but more suited to the particular protocol. The SimDM has been developed in the IVOA Theory Interest Group with assistance of representatives of relevant working groups, in particular DM and Semantics.","abbreviation":"SimDM","support_links":[{"url":"http://mail.ivoa.net/mailman/listinfo/theory","name":"IVOA Theory Interest Group Mailing List","type":"Mailing list"}],"year_creation":2012},"legacy_ids":["bsg-001162","bsg-s001162"],"name":"FAIRsharing record for: Simulation Data Model","abbreviation":"SimDM","url":"https://fairsharing.org/10.25504/FAIRsharing.AcUAbT","doi":"10.25504/FAIRsharing.AcUAbT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simulation Data Model describes numerical computer simulations of astrophysical systems. The primary goal of this standard is to support discovery of simulations by describing those aspects of them that scientists might wish to query on, i.e. it is a model for meta-data describing simulations. This document does not propose a protocol for using this model. IVOA protocols are being developed and are supposed to use the model, either in its original form or in a form derived from the model proposed here, but more suited to the particular protocol. The SimDM has been developed in the IVOA Theory Interest Group with assistance of representatives of relevant working groups, in particular DM and Semantics.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11456}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2943,"pubmed_id":null,"title":"Simulation Data Model Version 1.0","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0503L","authors":"Lemson, Gerard; Wozniak, Herve; Bourges, Laurent; Cervino, Miguel; Gheller, Claudio; Gray, Norman; LePetit, Franck; Louys, Mireille; Ooghe, Benjamin; Wagner, Rick","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.705Z","updated_at":"2021-09-30T08:28:02.705Z"}],"licence_links":[],"grants":[{"id":6035,"fairsharing_record_id":679,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:46.716Z","updated_at":"2021-09-30T09:27:46.716Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6037,"fairsharing_record_id":679,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:27:46.797Z","updated_at":"2021-09-30T09:27:46.797Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6036,"fairsharing_record_id":679,"organisation_id":1578,"relation":"maintains","created_at":"2021-09-30T09:27:46.757Z","updated_at":"2021-09-30T09:27:46.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":1578,"name":"IVOA Theory Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"680","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.642Z","metadata":{"doi":"10.25504/FAIRsharing.vgx074","name":"Master Drug Data Base Clinical Drugs","status":"ready","contacts":[{"contact_name":"Karen Eckert","contact_email":"keckert@drugfacts.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MDDB","identifier":680,"description":"Master Drug Data Base provides comprehensive and current drug information from a single source. The resource provides pricing and descriptive drug information on name brand, generic, prescription and OTC medications, and herbal products. It includes industry standard identifiers for all brand and generic drugs on the market including National Drug Code (NDC), Universal Product Code (UPC) and Health Related Item (HRI) numbers.","abbreviation":"MDDB","year_creation":2013},"legacy_ids":["bsg-002651","bsg-s002651"],"name":"FAIRsharing record for: Master Drug Data Base Clinical Drugs","abbreviation":"MDDB","url":"https://fairsharing.org/10.25504/FAIRsharing.vgx074","doi":"10.25504/FAIRsharing.vgx074","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Master Drug Data Base provides comprehensive and current drug information from a single source. The resource provides pricing and descriptive drug information on name brand, generic, prescription and OTC medications, and herbal products. It includes industry standard identifiers for all brand and generic drugs on the market including National Drug Code (NDC), Universal Product Code (UPC) and Health Related Item (HRI) numbers.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11724}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Chemical entity","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":341,"relation":"undefined"}],"grants":[{"id":6038,"fairsharing_record_id":680,"organisation_id":3242,"relation":"maintains","created_at":"2021-09-30T09:27:46.833Z","updated_at":"2021-09-30T09:27:46.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":3242,"name":"Wolters Kluwer","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"681","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-08-05T08:38:23.592Z","metadata":{"doi":"10.25504/FAIRsharing.rja8qp","name":"Human Ancestry Ontology","status":"ready","contacts":[{"contact_name":"Danielle Welter","contact_email":"dwelter.ontologist@gmail.com","contact_orcid":null}],"homepage":"https://github.com/EBISPOT/hancestro","citations":[{"doi":"10.1186/s13059-018-1396-2","pubmed_id":29448949,"publication_id":2531}],"identifier":681,"description":"The Human Ancestry Ontology (HANCESTRO) provides a systematic description of the ancestry concepts used in the NHGRI-EBI Catalog of published genome-wide association studies.","abbreviation":"HANCESTRO","support_links":[{"url":"https://github.com/EBISPOT/ancestro/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HANCESTRO","name":"HANCESTRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/hancestro.html","name":"hancestro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000819","bsg-s000819"],"name":"FAIRsharing record for: Human Ancestry Ontology","abbreviation":"HANCESTRO","url":"https://fairsharing.org/10.25504/FAIRsharing.rja8qp","doi":"10.25504/FAIRsharing.rja8qp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Ancestry Ontology (HANCESTRO) provides a systematic description of the ancestry concepts used in the NHGRI-EBI Catalog of published genome-wide association studies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Human Genetics","Population Genetics"],"domains":["Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2531,"pubmed_id":29448949,"title":"A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog.","year":2018,"url":"http://doi.org/10.1186/s13059-018-1396-2","authors":"Morales J,Welter D,Bowler EH,Cerezo M,Harris LW,McMahon AC,Hall P,Junkins HA,Milano A,Hastings E,Malangone C,Buniello A,Burdett T,Flicek P,Parkinson H,Cunningham F,Hindorff LA,MacArthur JAL","journal":"Genome Biol","doi":"10.1186/s13059-018-1396-2","created_at":"2021-09-30T08:27:10.483Z","updated_at":"2021-09-30T08:27:10.483Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":718,"relation":"undefined"}],"grants":[{"id":6040,"fairsharing_record_id":681,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:46.917Z","updated_at":"2021-09-30T09:27:46.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"690","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:40.292Z","metadata":{"doi":"10.25504/FAIRsharing.8qzmtr","name":"PSI Molecular Interaction Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Sandra Orchard","contact_email":"orchard@ebi.ac.uk"}],"homepage":"http://www.psidev.info/groups/molecular-interactions","identifier":690,"description":"A structured controlled vocabulary for the annotation of experiments concerned with protein-protein interactions. Developed by the HUPO Proteomics Standards Initiative. The Molecular Interactions Working group page can be found at http://www.psidev.info/groups/molecular-interactions.","abbreviation":"PSI-MI CV","support_links":[{"url":"psi-mi@ebi.ac.uk","name":"General Contact","type":"Support email"},{"url":"pporras@ebi.ac.uk","name":"Pablo Porras Millan","type":"Support email"},{"url":"http://www.psidev.info/groups/molecular-interactions","name":"Molecular Interactions Working Group","type":"Help documentation"},{"url":"https://github.com/HUPO-PSI/psi-mi-CV","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MI","name":"MI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mi.html","name":"mi","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000136","bsg-s000136"],"name":"FAIRsharing record for: PSI Molecular Interaction Controlled Vocabulary","abbreviation":"PSI-MI CV","url":"https://fairsharing.org/10.25504/FAIRsharing.8qzmtr","doi":"10.25504/FAIRsharing.8qzmtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the annotation of experiments concerned with protein-protein interactions. Developed by the HUPO Proteomics Standards Initiative. The Molecular Interactions Working group page can be found at http://www.psidev.info/groups/molecular-interactions.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11430},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11957}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Protein interaction","Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1231,"relation":"undefined"}],"grants":[{"id":6049,"fairsharing_record_id":690,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:27:47.221Z","updated_at":"2021-09-30T09:27:47.221Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6048,"fairsharing_record_id":690,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:47.187Z","updated_at":"2021-09-30T09:27:47.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"691","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-03-14T18:34:23.018Z","metadata":{"doi":"10.25504/FAIRsharing.p1ss22","name":"DICOM Controlled Terminology","status":"ready","contacts":[{"contact_name":"David Clunie","contact_email":"dclunie@dclunie.com"}],"homepage":"http://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_D.html","citations":[],"identifier":691,"description":"DICOM Controlled Terminology (PS3.16 2017c Annex D)","abbreviation":"DCM","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DCM","name":"DCM","portal":"BioPortal"}]},"legacy_ids":["bsg-000828","bsg-s000828"],"name":"FAIRsharing record for: DICOM Controlled Terminology","abbreviation":"DCM","url":"https://fairsharing.org/10.25504/FAIRsharing.p1ss22","doi":"10.25504/FAIRsharing.p1ss22","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DICOM Controlled Terminology (PS3.16 2017c Annex D)","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12112},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16900}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Imaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"695","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-07-20T12:48:57.296Z","metadata":{"doi":"10.25504/FAIRsharing.39ff0a","name":"Resource Description and Access Vocabularies","status":"ready","contacts":[{"contact_name":"RSC Technical Team Liaison Officer","contact_email":"techo@rdatoolkit.org"}],"homepage":"http://www.rdaregistry.info/","identifier":695,"description":"Resource Description and Access Vocabularies (RDA) Vocabularies is a representation of the RDA entities, elements, relationship designators, and controlled terms in RDF (Resource Description Framework). RDA is a standard for descriptive cataloging of bibliographic data. It is intended for use by libraries and other cultural organizations such as museums and archives. The Vocabularies are intended to support linked data applications using RDA.","abbreviation":"RDA Vocabularies","support_links":[{"url":"https://www.rdaregistry.info/rgFAQ","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.rdaregistry.info/rgData/","name":"Data Using the RDA Vocabularies","type":"Help documentation"},{"url":"https://github.com/RDARegistry/RDA-Vocabularies","name":"GitHub Project","type":"Github"},{"url":"https://www.rdaregistry.info/rgAbout/rdaref/dataflow/","name":"About","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Resource_Description_and_Access","name":"RDA Wikipedia Entry","type":"Wikipedia"}],"year_creation":2017,"associated_tools":[{"url":"http://www.rdatoolkit.org/","name":"RDA Toolkit"},{"url":"https://www.rdaregistry.info/rgTools/","name":"Tool Listing"}]},"legacy_ids":["bsg-000832","bsg-s000832"],"name":"FAIRsharing record for: Resource Description and Access Vocabularies","abbreviation":"RDA Vocabularies","url":"https://fairsharing.org/10.25504/FAIRsharing.39ff0a","doi":"10.25504/FAIRsharing.39ff0a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Resource Description and Access Vocabularies (RDA) Vocabularies is a representation of the RDA entities, elements, relationship designators, and controlled terms in RDF (Resource Description Framework). RDA is a standard for descriptive cataloging of bibliographic data. It is intended for use by libraries and other cultural organizations such as museums and archives. The Vocabularies are intended to support linked data applications using RDA.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science"],"domains":["Citation","Bibliography","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":393,"relation":"undefined"}],"grants":[{"id":6050,"fairsharing_record_id":695,"organisation_id":2435,"relation":"maintains","created_at":"2021-09-30T09:27:47.244Z","updated_at":"2021-09-30T09:27:47.244Z","grant_id":null,"is_lead":true,"saved_state":{"id":2435,"name":"Resource Description and Access Vocabularies (RDA) Steering Committee (RSC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"697","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T12:46:34.000Z","updated_at":"2022-07-20T12:48:57.240Z","metadata":{"doi":"10.25504/FAIRsharing.RlEMBA","name":"Ontology for Provenance and Plans","status":"ready","contacts":[{"contact_name":"Daniel Garijo","contact_email":"dgarijo@isi.edu"}],"homepage":"http://purl.org/net/p-plan","identifier":697,"description":"The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself.","abbreviation":"P-PLAN","support_links":[{"url":"gil@isi.edu","name":"Yolanda Gil","type":"Support email"}],"year_creation":2011},"legacy_ids":["bsg-001432","bsg-s001432"],"name":"FAIRsharing record for: Ontology for Provenance and Plans","abbreviation":"P-PLAN","url":"https://fairsharing.org/10.25504/FAIRsharing.RlEMBA","doi":"10.25504/FAIRsharing.RlEMBA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Spain","United States"],"publications":[{"id":2705,"pubmed_id":null,"title":"Augmenting PROV with Plans in P-PLAN: Scientific Processes as Linked Data","year":2012,"url":"http://www.isi.edu/~gil/papers/garijo-gil-lisc12.pdf","authors":"Daniel Garijo and Yolanda Gil","journal":"in Proceedings of the 2nd International Workshop on Linked Science 2012","doi":null,"created_at":"2021-09-30T08:27:32.239Z","updated_at":"2021-09-30T08:27:32.239Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Generic (CC BY-NC-SA 2.0)","licence_id":179,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.0/","link_id":1715,"relation":"undefined"}],"grants":[{"id":6051,"fairsharing_record_id":697,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:27:47.270Z","updated_at":"2021-09-30T09:27:47.270Z","grant_id":null,"is_lead":true,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"698","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-03-23T10:05:28.934Z","metadata":{"doi":"10.25504/FAIRsharing.gaqfk4","name":"HGeneCodonOntology","status":"deprecated","contacts":[{"contact_name":"Hanfei Bao","contact_email":"hanfeib@gmail.com"}],"homepage":"http://blog.51.ca/u-345129/","citations":[],"identifier":698,"description":"This ontology contains the information of the frequency of usage and the relative frequency of usage of Human Gene Codons, to be used to the operations by The Project Of HIV Ontology.","abbreviation":"HCODONONT","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HCODONONT","name":"HCODONONT","portal":"BioPortal"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-000835","bsg-s000835"],"name":"FAIRsharing record for: HGeneCodonOntology","abbreviation":"HCODONONT","url":"https://fairsharing.org/10.25504/FAIRsharing.gaqfk4","doi":"10.25504/FAIRsharing.gaqfk4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology contains the information of the frequency of usage and the relative frequency of usage of Human Gene Codons, to be used to the operations by The Project Of HIV Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"700","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2023-03-13T15:39:28.378Z","metadata":{"doi":"10.25504/FAIRsharing.v5ymcw","name":"Radiation Oncology Structures Ontology","status":"ready","contacts":[{"contact_name":"Jean-Emmanuel Bibault","contact_email":"jean-emmanuel.bibault@aphp.fr"}],"homepage":"https://github.com/jebibault/Radiation-Oncology-Structures-Ontology","citations":[],"identifier":700,"description":"This ontology describes commonly contoured (anatomical and treatment planning) structures for radiation treatment planning. 22000 structures labels (created over a 16 years period in our radiation department) were extracted, classified and categorized to produce this ontology. Lymph nodes delineation international guidelines are provided. This ontology was created to ease and standardize the integration of radiation oncology data into clinical datawarehouses for multicentric studies. The high granularity of this ontology will allow precise dosimetric evaluations.","abbreviation":"ROS","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ROS","name":"ROS","portal":"BioPortal"}]},"legacy_ids":["bsg-000841","bsg-s000841"],"name":"FAIRsharing record for: Radiation Oncology Structures Ontology","abbreviation":"ROS","url":"https://fairsharing.org/10.25504/FAIRsharing.v5ymcw","doi":"10.25504/FAIRsharing.v5ymcw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology describes commonly contoured (anatomical and treatment planning) structures for radiation treatment planning. 22000 structures labels (created over a 16 years period in our radiation department) were extracted, classified and categorized to produce this ontology. Lymph nodes delineation international guidelines are provided. This ontology was created to ease and standardize the integration of radiation oncology data into clinical datawarehouses for multicentric studies. The high granularity of this ontology will allow precise dosimetric evaluations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiation Oncology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"701","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-01-11T14:34:45.480Z","metadata":{"doi":"10.25504/FAIRsharing.4wden0","name":"EDDA Publication Types Taxonomy","status":"deprecated","contacts":[{"contact_name":"Tanja Bekhuis","contact_email":"tanja.bekhuis@tcbinfosci.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/EDDA_PT","citations":[],"identifier":701,"description":"The EDDA Publication Types Taxonomy (v1.0) was developed by Tanja Bekhuis (Principal Scientist) and Eugene Tseytlin (Systems Developer) of the Evidence in Documents, Discovery, and Analytics (EDDA) Group. The EDDA Group is a division of TCB Research \u0026 Indexing LLC. V","abbreviation":"EDDA_PT","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDDA_PT","name":"EDDA_PT","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"This resource homepage cannot be found, and the terminology only exists via its BioPortal record. This record has therefore been deprecated. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000842","bsg-s000842"],"name":"FAIRsharing record for: EDDA Publication Types Taxonomy","abbreviation":"EDDA_PT","url":"https://fairsharing.org/10.25504/FAIRsharing.4wden0","doi":"10.25504/FAIRsharing.4wden0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EDDA Publication Types Taxonomy (v1.0) was developed by Tanja Bekhuis (Principal Scientist) and Eugene Tseytlin (Systems Developer) of the Evidence in Documents, Discovery, and Analytics (EDDA) Group. The EDDA Group is a division of TCB Research \u0026 Indexing LLC. V","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems"],"domains":["Bibliography","Publication"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":2550,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"702","type":"fairsharing_records","attributes":{"created_at":"2015-02-23T13:34:34.000Z","updated_at":"2021-11-24T13:18:40.387Z","metadata":{"doi":"10.25504/FAIRsharing.enpfm4","name":"mzXML","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"psidev-ms-dev@lists.sourceforge.net"}],"homepage":"http://en.wikipedia.org/wiki/Mass_spectrometry_data_format","identifier":702,"description":"mzXML an open, generic XML (extensible markup language) representation of MS data. This format is now deprecated and it has been superseded by mzML","abbreviation":"mzXML","deprecation_date":"2015-04-08","deprecation_reason":"This resource is obsolete, and has been subsumed (together with mzData) into mzML. Please use mzML instead (https://www.biosharing.org/bsg-000112). For more information, see http://www.psidev.info/groups/mass-spectrometry"},"legacy_ids":["bsg-000583","bsg-s000583"],"name":"FAIRsharing record for: mzXML","abbreviation":"mzXML","url":"https://fairsharing.org/10.25504/FAIRsharing.enpfm4","doi":"10.25504/FAIRsharing.enpfm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mzXML an open, generic XML (extensible markup language) representation of MS data. This format is now deprecated and it has been superseded by mzML","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10917}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":735,"pubmed_id":15529173,"title":"A common open representation of mass spectrometry data and its application to proteomics researc","year":2004,"url":"http://doi.org/10.1038/nbt1031","authors":"Pedrioli PG, Eng JK, Hubley R, Vogelzang M, Deutsch EW, Raught B, Pratt B, Nilsson E, Angeletti RH, Apweiler R, Cheung K, Costello CE, Hermjakob H, Huang S, Julian RK, Kapp E, McComb ME, Oliver SG, Omenn G, Paton NW, Simpson R, Smith R, Taylor CF, Zhu W, Aebersold R.","journal":"Nat Biotechnology","doi":"10.1038/nbt1031","created_at":"2021-09-30T08:23:40.995Z","updated_at":"2021-09-30T08:23:40.995Z"},{"id":736,"pubmed_id":16307524,"title":"What is mzXML good for?","year":2005,"url":"http://doi.org/10.1586/14789450.2.6.839","authors":"Lin SM, Zhu L, Winter AQ, Sasinowski M, Kibbe WA.","journal":"Expert Rev Proteomics","doi":"10.1586/14789450.2.6.839","created_at":"2021-09-30T08:23:41.095Z","updated_at":"2021-09-30T08:23:41.095Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"723","type":"fairsharing_records","attributes":{"created_at":"2016-11-01T13:41:13.000Z","updated_at":"2021-11-24T13:14:22.795Z","metadata":{"doi":"10.25504/FAIRsharing.m3g9n9","name":"Standard Protocol Items: Recommendations for Interventional Trials","status":"ready","homepage":"http://www.spirit-statement.org/","identifier":723,"description":"The protocol of a clinical trial is essential for study conduct, review, reporting, and interpretation. SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) is an international initiative that aims to improve the quality of clinical trial protocols by defining an evidence-based set of items to address in a protocol.","abbreviation":"SPIRIT","support_links":[{"url":"http://www.spirit-statement.org/spirit-statement/","type":"Help documentation"},{"url":"http://www.consort-statement.org/resources/spirit","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-000685","bsg-s000685"],"name":"FAIRsharing record for: Standard Protocol Items: Recommendations for Interventional Trials","abbreviation":"SPIRIT","url":"https://fairsharing.org/10.25504/FAIRsharing.m3g9n9","doi":"10.25504/FAIRsharing.m3g9n9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The protocol of a clinical trial is essential for study conduct, review, reporting, and interpretation. SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) is an international initiative that aims to improve the quality of clinical trial protocols by defining an evidence-based set of items to address in a protocol.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12501},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16933}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Denmark","United Kingdom","United States"],"publications":[{"id":1739,"pubmed_id":23295957,"title":"SPIRIT 2013 statement: defining standard protocol items for clinical trials.","year":2013,"url":"http://doi.org/10.7326/0003-4819-158-3-201302050-00583","authors":"Chan AW,Tetzlaff JM,Altman DG,Laupacis A,Gotzsche PC,Krleza-Jeric K,Hrobjartsson A,Mann H,Dickersin K,Berlin JA,Dore CJ,Parulekar WR,Summerskill WS,Groves T,Schulz KF,Sox HC,Rockhold FW,Rennie D,Moher D","journal":"Ann Intern Med","doi":"10.7326/0003-4819-158-3-201302050-00583","created_at":"2021-09-30T08:25:35.107Z","updated_at":"2021-09-30T08:25:35.107Z"},{"id":1740,"pubmed_id":23303884,"title":"SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials.","year":2013,"url":"http://doi.org/10.1136/bmj.e7586","authors":"Chan AW,Tetzlaff JM,Gotzsche PC,Altman DG,Mann H,Berlin JA,Dickersin K,Hrobjartsson A,Schulz KF,Parulekar WR,Krleza-Jeric K,Laupacis A,Moher D","journal":"BMJ","doi":"10.1136/bmj.e7586","created_at":"2021-09-30T08:25:35.213Z","updated_at":"2021-09-30T08:25:35.213Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":84,"relation":"undefined"}],"grants":[{"id":6077,"fairsharing_record_id":723,"organisation_id":2836,"relation":"maintains","created_at":"2021-09-30T09:27:47.914Z","updated_at":"2021-09-30T09:27:47.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":2836,"name":"The SPIRIT Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6078,"fairsharing_record_id":723,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:27:47.937Z","updated_at":"2021-09-30T09:27:47.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"724","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-05-18T07:21:26.870Z","metadata":{"doi":"10.25504/FAIRsharing.4bcrzk","name":"CYTOKINE","status":"deprecated","contacts":[{"contact_name":"Steven Kleinstein","contact_email":"steven.kleinstein@yale.edu","contact_orcid":null}],"homepage":"http://bioportal.bioontology.org/ontologies/CYTO","citations":[],"identifier":724,"description":"It is flat ontology showing cytokine synonyms. It has been produced by merging cytokine branches, using SOMA (Synonym Ontology Mapping Approach) method, of 10 Bioportal ontologies.","abbreviation":"CYTO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CYTO","name":"CYTO","portal":"BioPortal"}],"deprecation_date":"2023-05-03","deprecation_reason":"This resource has been deprecated and the maintaining group has confirmed the status."},"legacy_ids":["bsg-000857","bsg-s000857"],"name":"FAIRsharing record for: CYTOKINE","abbreviation":"CYTO","url":"https://fairsharing.org/10.25504/FAIRsharing.4bcrzk","doi":"10.25504/FAIRsharing.4bcrzk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: It is flat ontology showing cytokine synonyms. It has been produced by merging cytokine branches, using SOMA (Synonym Ontology Mapping Approach) method, of 10 Bioportal ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Infection Biology","Immunology"],"domains":["Immune system"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Synonyms"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":10577,"fairsharing_record_id":724,"organisation_id":3268,"relation":"maintains","created_at":"2023-05-03T09:24:32.527Z","updated_at":"2023-05-03T09:24:32.527Z","grant_id":null,"is_lead":true,"saved_state":{"id":3268,"name":"Yale University School of Medicine, New Haven, CT, USA.","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"725","type":"fairsharing_records","attributes":{"created_at":"2018-08-11T21:43:03.000Z","updated_at":"2022-02-08T10:47:11.819Z","metadata":{"doi":"10.25504/FAIRsharing.5d5322","name":"Corpus Encoding Standards","status":"ready","contacts":[{"contact_name":"Nancy Ide","contact_email":"ide@cs.vassar.edu"}],"homepage":"https://www.cs.vassar.edu/CES/","citations":[],"identifier":725,"description":"CES provides a unit coding standard for linguistic corpus annotation. The CES can be used to encode corpora as resources for natural language processing. XCES is the XML version.","abbreviation":"CES / XCES","year_creation":1996},"legacy_ids":["bsg-001230","bsg-s001230"],"name":"FAIRsharing record for: Corpus Encoding Standards","abbreviation":"CES / XCES","url":"https://fairsharing.org/10.25504/FAIRsharing.5d5322","doi":"10.25504/FAIRsharing.5d5322","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CES provides a unit coding standard for linguistic corpus annotation. The CES can be used to encode corpora as resources for natural language processing. XCES is the XML version.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[],"licence_links":[],"grants":[{"id":6079,"fairsharing_record_id":725,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:47.971Z","updated_at":"2021-09-30T09:27:47.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6080,"fairsharing_record_id":725,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:47.995Z","updated_at":"2021-09-30T09:32:37.522Z","grant_id":1705,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IRI-9413451","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"726","type":"fairsharing_records","attributes":{"created_at":"2018-10-12T13:19:58.000Z","updated_at":"2024-03-25T20:35:09.168Z","metadata":{"name":"Apple Core","status":"deprecated","contacts":[],"homepage":"https://applecore.biowikifarm.net/wiki/Main_Page","citations":[],"identifier":726,"description":"Darwin Core (DwC) has become a mature set of standards designed for sharing biodiversity data. However, the inherent generality of the documentation has lead to broad interpretation of the terms or confusion about which terms to use within a community. The goal of Apple Core is to tackle this issue for herbaria by providing detailed guidelines based on best practices for publishing botanical specimen information as DwC. These guidelines will include recommended terms, more specific definitions, multiple examples, common issues and controlled vocabularies where appropriate. Apple Core should not be considered an extension of DwC: we specifically avoid creating any new terms or extensions. If the need for an additional term arises, it will be proposed for inclusion in DwC. Apple Core datasets will be expressible as Simple Darwin Core or as an Occurrence core with an Identification History extension. ","abbreviation":"Apple Core","support_links":[{"url":"https://github.com/tdwg/applecore/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011,"deprecation_date":"2024-03-25","deprecation_reason":"The project has not had any activity since 2016, and the homepage is now broken. If you have up-to-date information on this project, or would like to claim this record, please contact us."},"legacy_ids":["bsg-001322","bsg-s001322"],"name":"FAIRsharing record for: Apple Core","abbreviation":"Apple Core","url":"https://fairsharing.org/fairsharing_records/726","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Darwin Core (DwC) has become a mature set of standards designed for sharing biodiversity data. However, the inherent generality of the documentation has lead to broad interpretation of the terms or confusion about which terms to use within a community. The goal of Apple Core is to tackle this issue for herbaria by providing detailed guidelines based on best practices for publishing botanical specimen information as DwC. These guidelines will include recommended terms, more specific definitions, multiple examples, common issues and controlled vocabularies where appropriate. Apple Core should not be considered an extension of DwC: we specifically avoid creating any new terms or extensions. If the need for an additional term arises, it will be proposed for inclusion in DwC. Apple Core datasets will be expressible as Simple Darwin Core or as an Occurrence core with an Identification History extension. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany","Agriculture"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":976,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"686","type":"fairsharing_records","attributes":{"created_at":"2019-07-10T09:13:25.000Z","updated_at":"2022-07-20T12:20:53.342Z","metadata":{"doi":"10.25504/FAIRsharing.dS2o69","name":"Environmental Thesaurus","status":"ready","contacts":[{"contact_name":"Barbara Magagna","contact_email":"barbara.magagna@umweltbundesamt.at","contact_orcid":"0000-0003-2195-3997"}],"homepage":"https://github.com/LTER-Europe/EnvThes","citations":[{"publication_id":2718}],"identifier":686,"description":"The Environmental Thesaurus is a controlled vocabulary built to aid integration of the data resulting from long term ecological research and monitoring in Europe (eLTER). It provides described and semantically well defined terms for later analysis and it serves as harmonized specification of parameters in the observation and measurement of ecosystem processes.","abbreviation":"EnvThes","support_links":[{"url":"https://github.com/LTER-Europe/EnvThes/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://www.enveurope.eu/news/envthes-environmental-thesaurus","name":"EnvEurope EnvThes Information","type":"Help documentation"}],"year_creation":2012,"associated_tools":[]},"legacy_ids":["bsg-001387","bsg-s001387"],"name":"FAIRsharing record for: Environmental Thesaurus","abbreviation":"EnvThes","url":"https://fairsharing.org/10.25504/FAIRsharing.dS2o69","doi":"10.25504/FAIRsharing.dS2o69","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Environmental Thesaurus is a controlled vocabulary built to aid integration of the data resulting from long term ecological research and monitoring in Europe (eLTER). It provides described and semantically well defined terms for later analysis and it serves as harmonized specification of parameters in the observation and measurement of ecosystem processes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geochemistry","Environmental Science","Ecology","Natural Science"],"domains":["Geographical location","Monitoring"],"taxonomies":["All"],"user_defined_tags":["Observations"],"countries":["Austria","France","Germany","Hungary","Italy","Sweden","United Kingdom","United States"],"publications":[{"id":2718,"pubmed_id":null,"title":"Data Models","year":2018,"url":"https://www.lter-europe.net/document-archive/elter-h2020-project-files/d3-3-data-models","authors":"Peterseil, J., Magagna, B., Wohner, C., Oggioni, A. \u0026 Watkins, J.","journal":"Deliverable (D3.3) of eLTER H2020 project","doi":null,"created_at":"2021-09-30T08:27:33.789Z","updated_at":"2021-09-30T08:27:33.789Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2728,"relation":"applies_to_content"}],"grants":[{"id":6046,"fairsharing_record_id":686,"organisation_id":2909,"relation":"maintains","created_at":"2021-09-30T09:27:47.117Z","updated_at":"2021-09-30T09:27:47.117Z","grant_id":null,"is_lead":true,"saved_state":{"id":2909,"name":"Umweltbundesamt GmbH (Environment Agency Austria), Austria","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"687","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-01-28T16:37:00.377Z","metadata":{"doi":"10.25504/FAIRsharing.1b84nz","name":"Behaviour Change Technique Taxonomy","status":"deprecated","contacts":[{"contact_name":"Peter Kalchgruber","contact_email":"peter.kalchgruber@univie.ac.at"}],"homepage":"https://www.ucl.ac.uk/pals/research/clinical-educational-and-health-psychology/research-groups/behaviour-change-techniques/resources/bcttv1-publications","citations":[],"identifier":687,"description":"The BCT Taxonomy Version 1 (BCTTv1) project are to (i) develop a reliable and generalisable nomenclature of behaviour change techniques as a method for specifying, evaluating and implementing complex behavioural change interventions and (ii) achieve its multidisciplinary and international acceptance and use to allow for its continuous development. Although this resource is available at BioPortal, and described at the listed homepage, the project homepage cannot be found. Please get in touch if you have any information","abbreviation":"BCT Taxonomy","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BCTT","name":"BCTT","portal":"BioPortal"}],"deprecation_date":"2022-01-21","deprecation_reason":"The resource homepage no longer exists, and the developers of the resource cannot be reached. We have updated the homepage to a working URL in order to provide what information we can find, but it is also is out of date."},"legacy_ids":["bsg-000826","bsg-s000826"],"name":"FAIRsharing record for: Behaviour Change Technique Taxonomy","abbreviation":"BCT Taxonomy","url":"https://fairsharing.org/10.25504/FAIRsharing.1b84nz","doi":"10.25504/FAIRsharing.1b84nz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BCT Taxonomy Version 1 (BCTTv1) project are to (i) develop a reliable and generalisable nomenclature of behaviour change techniques as a method for specifying, evaluating and implementing complex behavioural change interventions and (ii) achieve its multidisciplinary and international acceptance and use to allow for its continuous development. Although this resource is available at BioPortal, and described at the listed homepage, the project homepage cannot be found. Please get in touch if you have any information","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Social and Behavioural Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":3181,"pubmed_id":null,"title":"The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions","year":2013,"url":"http://dx.doi.org/10.1007/s12160-013-9486-6","authors":"Michie, Susan; Richardson, Michelle; Johnston, Marie; Abraham, Charles; Francis, Jill; Hardeman, Wendy; Eccles, Martin P.; Cane, James; Wood, Caroline E.; ","journal":"ann. behav. med.","doi":"10.1007/s12160-013-9486-6","created_at":"2022-01-07T21:00:03.323Z","updated_at":"2022-01-07T21:00:03.323Z"},{"id":3182,"pubmed_id":null,"title":"Reporting behaviour change interventions: do the behaviour change technique taxonomy v1, and training in its use, improve the quality of intervention descriptions?","year":2016,"url":"http://dx.doi.org/10.1186/s13012-016-0448-9","authors":"Wood, Caroline E.; Hardeman, Wendy; Johnston, Marie; Francis, Jill; Abraham, Charles; Michie, Susan; ","journal":"Implementation Sci","doi":"10.1186/s13012-016-0448-9","created_at":"2022-01-07T21:00:21.805Z","updated_at":"2022-01-07T21:00:21.805Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"688","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-01-03T11:32:06.339Z","metadata":{"doi":"10.25504/FAIRsharing.kpbna7","name":"Genotype Ontology","status":"ready","contacts":[{"contact_name":"Matthew Brush","contact_email":"mhb120@gmail.com"}],"homepage":"https://github.com/monarch-initiative/GENO-ontology/","citations":[],"identifier":688,"description":"An integrated ontology for representing the genetic variations described in genotypes, and their causal relationships to phenotype and diseases.","abbreviation":"GENO","support_links":[],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GENO","name":"GENO","portal":"BioPortal"}]},"legacy_ids":["bsg-000825","bsg-s000825"],"name":"FAIRsharing record for: Genotype Ontology","abbreviation":"GENO","url":"https://fairsharing.org/10.25504/FAIRsharing.kpbna7","doi":"10.25504/FAIRsharing.kpbna7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated ontology for representing the genetic variations described in genotypes, and their causal relationships to phenotype and diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Disease phenotype","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3058,"relation":"applies_to_content"}],"grants":[{"id":10270,"fairsharing_record_id":688,"organisation_id":2270,"relation":"associated_with","created_at":"2023-01-03T11:31:22.485Z","updated_at":"2023-01-03T11:31:22.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"689","type":"fairsharing_records","attributes":{"created_at":"2019-10-01T12:09:19.000Z","updated_at":"2022-07-20T12:48:57.378Z","metadata":{"doi":"10.25504/FAIRsharing.DbFnKV","name":"Radiology Gamuts Ontology","status":"ready","contacts":[{"contact_name":"Charles E. Kahn, Jr., MD, MS","contact_email":"ckahn@upenn.edu","contact_orcid":"0000-0002-6654-7434"}],"homepage":"https://www.gamuts.net","citations":[{"doi":"10.1148/rg.341135036","pubmed_id":24428295,"publication_id":2578}],"identifier":689,"description":"The Radiology Gamuts Ontology (RGO) is a knowledge resource for radiology diagnosis. RGO hosts more than 2,000 differential-diagnosis listings for imaging findings in all body systems. One can view all of the causes of an finding, then click on one of the diagnoses to view all of the findings that it causes.","abbreviation":"RGO","support_links":[{"url":"https://www.gamuts.net/about.php","name":"About RGO","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GAMUTS","name":"GAMUTS","portal":"BioPortal"}]},"legacy_ids":["bsg-001391","bsg-s001391"],"name":"FAIRsharing record for: Radiology Gamuts Ontology","abbreviation":"RGO","url":"https://fairsharing.org/10.25504/FAIRsharing.DbFnKV","doi":"10.25504/FAIRsharing.DbFnKV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Radiology Gamuts Ontology (RGO) is a knowledge resource for radiology diagnosis. RGO hosts more than 2,000 differential-diagnosis listings for imaging findings in all body systems. One can view all of the causes of an finding, then click on one of the diagnoses to view all of the findings that it causes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiology","Biomedical Science"],"domains":["Medical imaging","Disease","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2573,"pubmed_id":30624645,"title":"Integrating ontologies of human diseases, phenotypes, and radiological diagnosis.","year":2019,"url":"http://doi.org/10.1093/jamia/ocy161","authors":"Finke MT,Filice RW,Kahn CE Jr","journal":"J Am Med Inform Assoc","doi":"10.1093/jamia/ocy161","created_at":"2021-09-30T08:27:15.538Z","updated_at":"2021-09-30T08:27:15.538Z"},{"id":2574,"pubmed_id":30706210,"title":"Integrating an Ontology of Radiology Differential Diagnosis with ICD-10-CM, RadLex, and SNOMED CT.","year":2019,"url":"http://doi.org/10.1007/s10278-019-00186-3","authors":"Filice RW,Kahn CE Jr","journal":"J Digit Imaging","doi":"10.1007/s10278-019-00186-3","created_at":"2021-09-30T08:27:15.729Z","updated_at":"2021-09-30T08:27:15.729Z"},{"id":2578,"pubmed_id":24428295,"title":"Informatics in radiology: radiology gamuts ontology: differential diagnosis for the Semantic Web.","year":2014,"url":"http://doi.org/10.1148/rg.341135036","authors":"Budovec JJ,Lam CA,Kahn CE Jr","journal":"Radiographics","doi":"10.1148/rg.341135036","created_at":"2021-09-30T08:27:16.169Z","updated_at":"2021-09-30T08:27:16.169Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":671,"relation":"undefined"}],"grants":[{"id":6047,"fairsharing_record_id":689,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:27:47.155Z","updated_at":"2021-09-30T09:27:47.155Z","grant_id":null,"is_lead":true,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"682","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T14:22:47.000Z","updated_at":"2022-07-20T09:49:33.482Z","metadata":{"doi":"10.25504/FAIRsharing.d092a4","name":"Thesaurus for the Social Sciences","status":"ready","contacts":[{"contact_name":"Benjamin Zapilko","contact_email":"benjamin.zapilko@gesis.org"}],"homepage":"https://lod.gesis.org/thesoz/en/index","citations":[{"publication_id":3088}],"identifier":682,"description":"The Thesaurus for the Social Sciences (TheSoz) isa SKOS-based German thesaurus for the social sciences. It is intended as an aid for indexing documents and research information as well as for search term recommendation. The TheSoz is available in three languages (German, English and French). The thesaurus covers all topics and sub-disciplines of the social sciences, including sociology, employment re-search, pedagogics and political science.","abbreviation":"TheSoz","support_links":[{"url":"thesoz@gesis.org","name":"General Contact","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-001554","bsg-s001554"],"name":"FAIRsharing record for: Thesaurus for the Social Sciences","abbreviation":"TheSoz","url":"https://fairsharing.org/10.25504/FAIRsharing.d092a4","doi":"10.25504/FAIRsharing.d092a4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Thesaurus for the Social Sciences (TheSoz) isa SKOS-based German thesaurus for the social sciences. It is intended as an aid for indexing documents and research information as well as for search term recommendation. The TheSoz is available in three languages (German, English and French). The thesaurus covers all topics and sub-disciplines of the social sciences, including sociology, employment re-search, pedagogics and political science.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Social Science","Education Science","Political Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Employment"],"countries":["Germany"],"publications":[{"id":3088,"pubmed_id":null,"title":"TheSoz: A SKOS Representation of the Thesaurus for the Social Sciences","year":2012,"url":"http://www.semantic-web-journal.net/content/thesoz-skos-representation-thesaurus-social-sciences","authors":"Benjamin Zapilko, Johann Schaible, Philipp Mayr, Brigitte Mathiak","journal":"Semantic Web – Interoperability, Usability, Applicability","doi":null,"created_at":"2021-09-30T08:28:20.476Z","updated_at":"2021-09-30T08:28:20.476Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0 )","licence_id":178,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0","link_id":2230,"relation":"undefined"}],"grants":[{"id":6041,"fairsharing_record_id":682,"organisation_id":1700,"relation":"maintains","created_at":"2021-09-30T09:27:46.968Z","updated_at":"2021-09-30T09:27:46.968Z","grant_id":null,"is_lead":true,"saved_state":{"id":1700,"name":"Leibniz Institute for the Social Sciences (GESIS), Mannheim, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"683","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:31.424Z","metadata":{"doi":"10.25504/FAIRsharing.x56jsy","name":"Foundational Model of Anatomy","status":"ready","contacts":[{"contact_name":"Onard Mejino","contact_email":"mejino@uw.edu"}],"homepage":"http://si.washington.edu/projects/fma","citations":[],"identifier":683,"description":"The Foundational Model of Anatomy Ontology (FMA) is an evolving computer-based knowledge source for biomedical informatics; it is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Specifically, the FMA is a domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy. Its ontological framework can be applied and extended to all other species","abbreviation":"FMA","support_links":[{"url":"fma@sig.biostr.washington.edu","type":"Support email"},{"url":"fma-dev@u.washington.edu","name":"FMA Developers","type":"Mailing list"},{"url":"fma-announce@u.washington.edu","name":"FMA Announcements","type":"Mailing list"},{"url":"fma-content@u.washington.edu","name":"FMA Content","type":"Mailing list"},{"url":"http://si.washington.edu/content/comparisons-other-anatomy-sources","name":"Comparison with other anatomy sources","type":"Help documentation"},{"url":"http://si.washington.edu/content/purpose","name":"Purpose of the FMA","type":"Help documentation"},{"url":"http://si.washington.edu/projects/fma","type":"Help documentation"},{"url":"https://bitbucket.org/uwsig/fma/issues","name":"Issue Tracker","type":"Help documentation"},{"url":"http://si.washington.edu/content/summary-fma-resources","name":"Summary of Resources","type":"Help documentation"}],"year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FMA","name":"FMA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fma.html","name":"fma","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000011","bsg-s000011"],"name":"FAIRsharing record for: Foundational Model of Anatomy","abbreviation":"FMA","url":"https://fairsharing.org/10.25504/FAIRsharing.x56jsy","doi":"10.25504/FAIRsharing.x56jsy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Foundational Model of Anatomy Ontology (FMA) is an evolving computer-based knowledge source for biomedical informatics; it is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Specifically, the FMA is a domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy. Its ontological framework can be applied and extended to all other species","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17572},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11928},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12197},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16951}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Radiology","Biomedical Science"],"domains":["Phenotype","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":924,"pubmed_id":14759820,"title":"A reference ontology for biomedical informatics: the Foundational Model of Anatomy.","year":2004,"url":"http://doi.org/10.1016/j.jbi.2003.11.007","authors":"Rosse C,Mejino JL Jr","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2003.11.007","created_at":"2021-09-30T08:24:02.021Z","updated_at":"2021-09-30T08:24:02.021Z"},{"id":1831,"pubmed_id":27235801,"title":"From frames to OWL2: Converting the Foundational Model of Anatomy.","year":2016,"url":"http://doi.org/S0933-3657(16)30152-X","authors":"Detwiler LT,Mejino JLV,Brinkley JF","journal":"Artif Intell Med","doi":"10.1016/j.artmed.2016.04.003","created_at":"2021-09-30T08:25:45.647Z","updated_at":"2021-09-30T08:25:45.647Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1550,"relation":"applies_to_content"}],"grants":[{"id":6042,"fairsharing_record_id":683,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:47.005Z","updated_at":"2021-09-30T09:28:57.143Z","grant_id":28,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"LM 06822","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8472,"fairsharing_record_id":683,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:48.285Z","updated_at":"2021-09-30T09:32:48.335Z","grant_id":1782,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"LM 03528","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6043,"fairsharing_record_id":683,"organisation_id":2662,"relation":"maintains","created_at":"2021-09-30T09:27:47.037Z","updated_at":"2022-04-28T16:01:08.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":2662,"name":"Structural Informatics Group, University of Washington, Seattle, Washington, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6044,"fairsharing_record_id":683,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:47.061Z","updated_at":"2021-09-30T09:32:42.880Z","grant_id":1745,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"DE24417","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYTg9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--16f323877b0cea5b9b3df9ea964ed441ad10cff1/fma.png?disposition=inline","exhaustive_licences":false}},{"id":"685","type":"fairsharing_records","attributes":{"created_at":"2018-06-11T10:18:58.000Z","updated_at":"2022-02-08T10:28:22.709Z","metadata":{"doi":"10.25504/FAIRsharing.d7795c","name":"Analytical Data Interchange Protocol for Chromatographic Data","status":"ready","contacts":[{"contact_name":"ASTM Support","contact_email":"service@astm.org"}],"homepage":"http://www.astm.org/cgi-bin/resolver.cgi?E1947","citations":[],"identifier":685,"description":"The ANDI-MS specification (ASTM E1947) covers an analytical data interchange protocol for chromatographic data representation. The contents of the file include typical header in formation like instrument, column, detector, and operator description followed by raw or processed data, or both. Once data have been written or converted to this protocol, they can be read and processed by software packages that support the protocol. The end purpose of this protocol is intended to (1) transfer data between various vendors' instrument systems, (2) provide LIMS communications, (3) link data to document processing applications, (4) link data to spreadsheet applications, and ( 5) archive analytical data, or a combination thereof. It is based on NetCDF.","abbreviation":"ANDI-MS","support_links":[{"url":"https://www.astm.org/contact/","name":"Contact Form","type":"Contact form"}],"year_creation":2014},"legacy_ids":["bsg-001216","bsg-s001216"],"name":"FAIRsharing record for: Analytical Data Interchange Protocol for Chromatographic Data","abbreviation":"ANDI-MS","url":"https://fairsharing.org/10.25504/FAIRsharing.d7795c","doi":"10.25504/FAIRsharing.d7795c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ANDI-MS specification (ASTM E1947) covers an analytical data interchange protocol for chromatographic data representation. The contents of the file include typical header in formation like instrument, column, detector, and operator description followed by raw or processed data, or both. Once data have been written or converted to this protocol, they can be read and processed by software packages that support the protocol. The end purpose of this protocol is intended to (1) transfer data between various vendors' instrument systems, (2) provide LIMS communications, (3) link data to document processing applications, (4) link data to spreadsheet applications, and ( 5) archive analytical data, or a combination thereof. It is based on NetCDF.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10922}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Life Science"],"domains":["Chromatography","Mass spectrometry assay","Data model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6045,"fairsharing_record_id":685,"organisation_id":89,"relation":"maintains","created_at":"2021-09-30T09:27:47.086Z","updated_at":"2021-09-30T09:27:47.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":89,"name":"American Society of Testing and Materials (ASTM) International, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"715","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T11:18:37.000Z","updated_at":"2024-01-27T14:38:58.407Z","metadata":{"doi":"10.25504/FAIRsharing.OrNi1L","name":"Open Researcher and Contributor iD Identifier Schema","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"support@orcid.org"}],"homepage":"https://support.orcid.org/hc/en-us/articles/360006897674-Structure-of-the-ORCID-Identifier","citations":[],"identifier":715,"description":"The ORCID Identifier Schema is an https URI with a 16-digit number that is compatible with the ISO Standard (ISO 27729), also known as the International Standard Name Identifier (ISNI), e.g. https://orcid.org/0000-0001-2345-6789 Initially ORCID iDs will be randomly assigned by the ORCID Registry from a block of numbers that will not conflict with ISNI-formatted numbers assigned in other ways. ORCID iDs always require all 16 digits of the identifier; they can not be shortened to remove leading zeros if they exist. No information about a person is encoded in the ORCID iD. The identifiers were designed to be usable in situations where personally-identifiable information should/can not be shared. Also, since the ORCID iD is designed to be a career-long identifier, no information that can change over a person's career is embedded in the iD, e.g., country, institution, field of study.","abbreviation":"ORCID iD Identifier Schema","support_links":[{"url":"https://support.orcid.org/hc/en-us/requests/new","name":"Submit a Request / Comment","type":"Contact form"},{"url":"https://info.orcid.org/annual-reports/","name":"ORCID Annual Reports","type":"Other"},{"url":"https://github.com/ORCID","name":"ORCID on GitHub","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioregistry.io/registry/orcid","name":"bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/orcid","name":"identifiers.org","portal":"Other"},{"url":"https://www.wikidata.org/wiki/Property:P496","name":"Wikidata","portal":"Other"},{"url":"http://edamontology.org/data_4022","name":"EDAM - Bioscientific data analysis ontology","portal":"Other"},{"url":"http://purl.obolibrary.org/obo/IAO_0000708","name":"Information Artifact Ontology","portal":"Other"}],"regular_expression":"^\\d{4}-\\d{4}-\\d{4}-\\d{3}(\\d|X)$"},"legacy_ids":["bsg-001357","bsg-s001357"],"name":"FAIRsharing record for: Open Researcher and Contributor iD Identifier Schema","abbreviation":"ORCID iD Identifier Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.OrNi1L","doi":"10.25504/FAIRsharing.OrNi1L","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ORCID Identifier Schema is an https URI with a 16-digit number that is compatible with the ISO Standard (ISO 27729), also known as the International Standard Name Identifier (ISNI), e.g. https://orcid.org/0000-0001-2345-6789 Initially ORCID iDs will be randomly assigned by the ORCID Registry from a block of numbers that will not conflict with ISNI-formatted numbers assigned in other ways. ORCID iDs always require all 16 digits of the identifier; they can not be shortened to remove leading zeros if they exist. No information about a person is encoded in the ORCID iD. The identifiers were designed to be usable in situations where personally-identifiable information should/can not be shared. Also, since the ORCID iD is designed to be a career-long identifier, no information that can change over a person's career is embedded in the iD, e.g., country, institution, field of study.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17379},{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20025}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems"],"domains":["Citation","Bibliography","Publication","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":4098,"pubmed_id":null,"title":"ORCID 2022 Annual Report","year":2023,"url":"https://doi.org/10.23640/07243.22250740.v1","authors":"ORCID, Chris Shillum, Julie Anne Petro, Tom Demeranville, Ivo Wijnbergen, Will Simpson","journal":"Figshare (Online resource)","doi":"10.23640/07243.22250740.v1","created_at":"2024-01-24T22:36:21.761Z","updated_at":"2024-01-24T22:36:21.761Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1440,"relation":"undefined"},{"licence_name":"ORCID MIT-Style License","licence_id":638,"licence_url":"https://github.com/ORCID/ORCID-Source/blob/master/LICENSE.md","link_id":1439,"relation":"undefined"}],"grants":[{"id":6067,"fairsharing_record_id":715,"organisation_id":2263,"relation":"maintains","created_at":"2021-09-30T09:27:47.671Z","updated_at":"2021-09-30T09:27:47.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":2263,"name":"Open Research and Contributor ID Initiative (ORCID)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"717","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:40.444Z","metadata":{"doi":"10.25504/FAIRsharing.2chxxc","name":"NMR Self-defining Text Archive and Retrieval format","status":"ready","contacts":[{"contact_email":"bmrbhelp@bmrb.wisc.edu"}],"homepage":"http://www.bmrb.wisc.edu/dictionary/","identifier":717,"description":"NMR-STAR is an extension of the STAR file format to store the results of biological NMR experiments.","abbreviation":"NMR-STAR","support_links":[{"url":"http://lists.bmrb.wisc.edu/","type":"Mailing list"}]},"legacy_ids":["bsg-000285","bsg-s000285"],"name":"FAIRsharing record for: NMR Self-defining Text Archive and Retrieval format","abbreviation":"NMR-STAR","url":"https://fairsharing.org/10.25504/FAIRsharing.2chxxc","doi":"10.25504/FAIRsharing.2chxxc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NMR-STAR is an extension of the STAR file format to store the results of biological NMR experiments.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12092}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Molecular entity","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1723,"pubmed_id":17984079,"title":"BioMagResBank.","year":2007,"url":"http://doi.org/10.1093/nar/gkm957","authors":"Ulrich EL,Akutsu H,Doreleijers JF,Harano Y,Ioannidis YE,Lin J,Livny M,Mading S,Maziuk D,Miller Z,Nakatani E,Schulte CF,Tolmie DE,Kent Wenger R,Yao H,Markley JL","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm957","created_at":"2021-09-30T08:25:33.068Z","updated_at":"2021-09-30T11:29:19.360Z"}],"licence_links":[],"grants":[{"id":6068,"fairsharing_record_id":717,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:47.703Z","updated_at":"2021-09-30T09:27:47.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6069,"fairsharing_record_id":717,"organisation_id":257,"relation":"maintains","created_at":"2021-09-30T09:27:47.719Z","updated_at":"2021-09-30T09:27:47.719Z","grant_id":null,"is_lead":false,"saved_state":{"id":257,"name":"Biological Magnetic Resonance Data Bank (BMRB)","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"718","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T14:41:03.000Z","updated_at":"2022-09-28T14:00:50.614Z","metadata":{"doi":"10.25504/FAIRsharing.8337e2","name":"Integrated Authority File","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"gnd-info@dnb.de"}],"homepage":"https://www.dnb.de/EN/Professionell/Standardisierung/GND/gnd_node.html","citations":[],"identifier":718,"description":"The Integrated Authority File (GND) is a service facilitating the collaborative use and administration of authority data. These authority data represent and describe entities, i.e. persons, corporate bodies, conferences and events, geographic entities, topics and works relating to cultural and academic collections. Libraries in particular use the GND to catalogue publications. However, archives, museums, cultural and academic institutions, and researchers involved in research projects are also increasingly working with the GND. Authority data make cataloguing easier, offer definitive search entries and forge links between different information resources. Every entity in the GND features a unique and stable identifier (GND ID). This makes it possible to link the authority data with both each other and external data sets and web resources. This results in a cross-organisational, machine-readable data network.","abbreviation":"GND","support_links":[{"url":"https://d-nb.info/standards/elementset/gnd","name":"About the GND Ontology","type":"Help documentation"},{"url":"https://twitter.com/gndnet","name":"@gndnet","type":"Twitter"}],"year_creation":2012},"legacy_ids":["bsg-001555","bsg-s001555"],"name":"FAIRsharing record for: Integrated Authority File","abbreviation":"GND","url":"https://fairsharing.org/10.25504/FAIRsharing.8337e2","doi":"10.25504/FAIRsharing.8337e2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Authority File (GND) is a service facilitating the collaborative use and administration of authority data. These authority data represent and describe entities, i.e. persons, corporate bodies, conferences and events, geographic entities, topics and works relating to cultural and academic collections. Libraries in particular use the GND to catalogue publications. However, archives, museums, cultural and academic institutions, and researchers involved in research projects are also increasingly working with the GND. Authority data make cataloguing easier, offer definitive search entries and forge links between different information resources. Every entity in the GND features a unique and stable identifier (GND ID). This makes it possible to link the authority data with both each other and external data sets and web resources. This results in a cross-organisational, machine-readable data network.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Culture","Social Science"],"domains":["Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2231,"relation":"undefined"}],"grants":[{"id":6070,"fairsharing_record_id":718,"organisation_id":1139,"relation":"maintains","created_at":"2021-09-30T09:27:47.735Z","updated_at":"2021-09-30T09:27:47.735Z","grant_id":null,"is_lead":true,"saved_state":{"id":1139,"name":"German National Library, Leipzig, Germany","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"720","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:34.577Z","metadata":{"doi":"10.25504/FAIRsharing.sjf113","name":"Mosquito Insecticide Resistance Ontology","status":"ready","contacts":[{"contact_name":"C. Louis","contact_email":"louis@imbb.forth.gr"}],"homepage":"https://www.vectorbase.org/ontology-browser","identifier":720,"description":"Monitoring of insect vector populations with respect to their susceptibility to one or more insecticides is a crucial element of the strategies used for the control of arthropod-borne diseases. This management task can nowadays be achieved more efficiently when assisted by IT (Information Technology) tools, ranging from modern integrated databases to GIS (Geographic Information System). MIRO is an application ontology that can be used for the purpose of controlling mosquitoes and, thus, the diseases that they transmit.","abbreviation":"MIRO","support_links":[{"url":"https://www.vectorbase.org/contact","type":"Contact form"},{"url":"info@vectorbase.org","name":"General Contact","type":"Support email"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MIRO","name":"MIRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/miro.html","name":"miro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000061","bsg-s000061"],"name":"FAIRsharing record for: Mosquito Insecticide Resistance Ontology","abbreviation":"MIRO","url":"https://fairsharing.org/10.25504/FAIRsharing.sjf113","doi":"10.25504/FAIRsharing.sjf113","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Monitoring of insect vector populations with respect to their susceptibility to one or more insecticides is a crucial element of the strategies used for the control of arthropod-borne diseases. This management task can nowadays be achieved more efficiently when assisted by IT (Information Technology) tools, ranging from modern integrated databases to GIS (Geographic Information System). MIRO is an application ontology that can be used for the purpose of controlling mosquitoes and, thus, the diseases that they transmit.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Insecticide resistance","Mutation","Phenotype"],"taxonomies":["Culicidae"],"user_defined_tags":[],"countries":["France","Greece","United Kingdom","United States"],"publications":[{"id":989,"pubmed_id":19547750,"title":"MIRO and IRbase: IT tools for the epidemiological monitoring of insecticide resistance in mosquito disease vectors.","year":2009,"url":"http://doi.org/10.1371/journal.pntd.0000465","authors":"Dialynas E,Topalis P,Vontas J,Louis C","journal":"PLoS Negl Trop Dis","doi":"10.1371/journal.pntd.0000465","created_at":"2021-09-30T08:24:09.471Z","updated_at":"2021-09-30T08:24:09.471Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1558,"relation":"undefined"}],"grants":[{"id":6071,"fairsharing_record_id":720,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:47.752Z","updated_at":"2021-09-30T09:27:47.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6073,"fairsharing_record_id":720,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:27:47.786Z","updated_at":"2021-09-30T09:29:21.169Z","grant_id":208,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LSHP-CT-2004-503578","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6072,"fairsharing_record_id":720,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:47.769Z","updated_at":"2021-09-30T09:31:20.369Z","grant_id":1125,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN266200400039C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"722","type":"fairsharing_records","attributes":{"created_at":"2020-02-20T14:22:40.000Z","updated_at":"2022-07-20T11:19:04.657Z","metadata":{"doi":"10.25504/FAIRsharing.5NhJFK","name":"VGNC Gene Symbols, Gene Names and IDs","status":"ready","contacts":[{"contact_email":"vgnc@genenames.org"}],"homepage":"https://vertebrate.genenames.org/download/statistics-and-files/","identifier":722,"description":"The VGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","abbreviation":"VGNC","year_creation":2016},"legacy_ids":["bsg-001450","bsg-s001450"],"name":"FAIRsharing record for: VGNC Gene Symbols, Gene Names and IDs","abbreviation":"VGNC","url":"https://fairsharing.org/10.25504/FAIRsharing.5NhJFK","doi":"10.25504/FAIRsharing.5NhJFK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["Bos taurus","Canis familiaris","Equus caballus","Felis catus","Macaca mulatta","Pan troglodytes","Sus scrofa","Vertebrata"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6075,"fairsharing_record_id":722,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:47.819Z","updated_at":"2021-09-30T09:32:37.378Z","grant_id":1704,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"208349/Z/17/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6074,"fairsharing_record_id":722,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:47.802Z","updated_at":"2021-09-30T09:27:47.802Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6076,"fairsharing_record_id":722,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:47.881Z","updated_at":"2021-09-30T09:31:12.536Z","grant_id":1064,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U24HG003345","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"703","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2023-03-14T17:25:23.169Z","metadata":{"doi":"10.25504/FAIRsharing.fbn4sh","name":"Reference Sequence Annotation","status":"ready","contacts":[{"contact_name":"Zuotian Tatum","contact_email":"z.tatum@lumc.nl"}],"homepage":"http://bioportal.bioontology.org/ontologies/RSA","citations":[],"identifier":703,"description":"An ontology for sequence annotations and how to preserve them with reference sequences.","abbreviation":"RSA","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RSA","name":"RSA","portal":"BioPortal"}]},"legacy_ids":["bsg-000844","bsg-s000844"],"name":"FAIRsharing record for: Reference Sequence Annotation","abbreviation":"RSA","url":"https://fairsharing.org/10.25504/FAIRsharing.fbn4sh","doi":"10.25504/FAIRsharing.fbn4sh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for sequence annotations and how to preserve them with reference sequences.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11868}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10413,"fairsharing_record_id":703,"organisation_id":3078,"relation":"undefined","created_at":"2023-03-14T17:25:15.627Z","updated_at":"2023-03-14T17:25:15.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":3078,"name":"University of Leiden, Netherlands","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"706","type":"fairsharing_records","attributes":{"created_at":"2020-07-08T12:48:00.000Z","updated_at":"2023-09-29T11:55:01.948Z","metadata":{"doi":"10.25504/FAIRsharing.ff6fca","name":"ISO 3166-1:2013 Codes for the representation of names of countries and their subdivisions — Part 1: Country codes","status":"ready","contacts":[{"contact_name":"Maëlle Gaonac'h","contact_email":"maelle.gaonach@afnor.org"}],"homepage":"https://www.iso.org/standard/63545.html","citations":[],"identifier":706,"description":"ISO 3166-1:2013 is intended for use in any application requiring the expression of current country names in coded form; it also includes basic guidelines for its implementation and maintenance.","abbreviation":"ISO 3166-1:2013","year_creation":2006},"legacy_ids":["bsg-001508","bsg-s001508"],"name":"FAIRsharing record for: ISO 3166-1:2013 Codes for the representation of names of countries and their subdivisions — Part 1: Country codes","abbreviation":"ISO 3166-1:2013","url":"https://fairsharing.org/10.25504/FAIRsharing.ff6fca","doi":"10.25504/FAIRsharing.ff6fca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 3166-1:2013 is intended for use in any application requiring the expression of current country names in coded form; it also includes basic guidelines for its implementation and maintenance.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17377},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13179}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics","Human Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2006,"relation":"undefined"}],"grants":[{"id":6052,"fairsharing_record_id":706,"organisation_id":1529,"relation":"maintains","created_at":"2021-09-30T09:27:47.294Z","updated_at":"2021-09-30T09:27:47.294Z","grant_id":null,"is_lead":true,"saved_state":{"id":1529,"name":"International Standards Organisation (ISO) ISO/TC 46: Information and documentation","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10941,"fairsharing_record_id":706,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:49:37.919Z","updated_at":"2023-09-27T14:49:37.919Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"852","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:02:27.000Z","updated_at":"2022-12-13T10:25:04.121Z","metadata":{"doi":"10.25504/FAIRsharing.BOvdiu","name":"Simple Spectral Lines Data Model","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/SSLDM/","citations":[{"publication_id":2945}],"identifier":852,"description":"The Simple Spectral Lines Data Model (SSLDM) standard presents a Data Model to describe Spectral Line Transitions in the context of the Simple Line Access Protocol defined by the IVOA. The main objective of the model is to integrate with and support the Simple Line Access Protocol, with which it forms a compact unit. This integration allows seamless access to Spectral Line Transitions available worldwide in the VO context. This model does not provide a complete description of Atomic and Molecular Physics, which scope is outside of this document. In the astrophysical sense, a line is considered as the result of a transition between two energy levels. Under the basis of this assumption, a whole set of objects and attributes have been derived to define properly the necessary information to describe lines appearing in astrophysical contexts. The document has been written taking into account available information from many different Line data providers.","abbreviation":"SSLDM","year_creation":2010},"legacy_ids":["bsg-001165","bsg-s001165"],"name":"FAIRsharing record for: Simple Spectral Lines Data Model","abbreviation":"SSLDM","url":"https://fairsharing.org/10.25504/FAIRsharing.BOvdiu","doi":"10.25504/FAIRsharing.BOvdiu","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Spectral Lines Data Model (SSLDM) standard presents a Data Model to describe Spectral Line Transitions in the context of the Simple Line Access Protocol defined by the IVOA. The main objective of the model is to integrate with and support the Simple Line Access Protocol, with which it forms a compact unit. This integration allows seamless access to Spectral Line Transitions available worldwide in the VO context. This model does not provide a complete description of Atomic and Molecular Physics, which scope is outside of this document. In the astrophysical sense, a line is considered as the result of a transition between two energy levels. Under the basis of this assumption, a whole set of objects and attributes have been derived to define properly the necessary information to describe lines appearing in astrophysical contexts. The document has been written taking into account available information from many different Line data providers.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11486}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2945,"pubmed_id":null,"title":"Simple Spectral Lines Data Model Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.1209O","authors":"Osuna, Pedro; Salgado, Jesus; Guainazzi, Matteo; Dubernet, Marie-Lise; Roueff, Evelyne","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.965Z","updated_at":"2021-09-30T08:28:02.965Z"}],"licence_links":[],"grants":[{"id":6281,"fairsharing_record_id":852,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:55.011Z","updated_at":"2021-09-30T09:27:55.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6282,"fairsharing_record_id":852,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:27:55.036Z","updated_at":"2021-09-30T09:27:55.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"853","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:16.073Z","metadata":{"doi":"10.25504/FAIRsharing.w5kj3q","name":"Loggerhead Nesting Ontology","status":"deprecated","contacts":[{"contact_name":"Peter Midford","contact_email":"peteremidford@yahoo.com","contact_orcid":"0000-0001-6512-3296"}],"homepage":"http://obofoundry.org/ontology/loggerhead.html","citations":[{"doi":"10.1093/bioinformatics/bth433","pubmed_id":15284105,"publication_id":1729}],"identifier":853,"description":"A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for Loggerhead sea turtle (Caretta caretta) nesting behavior, based on the published ethogram of Hailman and Elowson.","abbreviation":null,"support_links":[{"url":"https://www.jstor.org/stable/3892915","type":"Help documentation"},{"url":"http://mesquiteproject.org/midford/","name":"Peter Midford Project Page","type":"Help documentation"}],"year_creation":2001,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LHN","name":"LHN","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/loggerhead.html","name":"loggerhead","portal":"OBO Foundry"}],"deprecation_date":"2019-07-01","deprecation_reason":"This resource is deprecated. This deprecation is confirmed by the OBO Foundry."},"legacy_ids":["bsg-002577","bsg-s002577"],"name":"FAIRsharing record for: Loggerhead Nesting Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.w5kj3q","doi":"10.25504/FAIRsharing.w5kj3q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for Loggerhead sea turtle (Caretta caretta) nesting behavior, based on the published ethogram of Hailman and Elowson.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Behavioural Biology","Life Science"],"domains":["Behavior"],"taxonomies":["Caretta caretta"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1729,"pubmed_id":15284105,"title":"Ontologies for behavior.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth433","authors":"Midford PE","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth433","created_at":"2021-09-30T08:25:33.771Z","updated_at":"2021-09-30T08:25:33.771Z"}],"licence_links":[],"grants":[{"id":6283,"fairsharing_record_id":853,"organisation_id":2798,"relation":"maintains","created_at":"2021-09-30T09:27:55.061Z","updated_at":"2021-09-30T09:27:55.061Z","grant_id":null,"is_lead":true,"saved_state":{"id":2798,"name":"The Mesquite Project","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"854","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T11:25:53.000Z","updated_at":"2021-11-24T13:20:04.611Z","metadata":{"doi":"10.25504/FAIRsharing.gct3wr","name":"statismo - Statistical Image And Shape Models","status":"ready","contacts":[{"contact_name":"Marcel Lüthi","contact_email":"marcel.luethi@unibas.ch","contact_orcid":"0000-0002-9686-2195"}],"homepage":"https://github.com/statismo/statismo","citations":[],"identifier":854,"description":"Statismo defines a storage format (Statistical Image And Shape Models) based on HDF5, which includes all the information necessary to use the model, as well as meta-data about the model creation, which helps to make model building reproducible.","abbreviation":"statismo","support_links":[{"url":"https://groups.google.com/forum/#!forum/statismo-users","type":"Mailing list"},{"url":"https://github.com/statismo/statismo/wiki","type":"Github"},{"url":"http://www.shapesymposium.org/2014/docs/statismo-shape-tutorial.pdf","name":"Powerpoint presentation","type":"Help documentation"}]},"legacy_ids":["bsg-000574","bsg-s000574"],"name":"FAIRsharing record for: statismo - Statistical Image And Shape Models","abbreviation":"statismo","url":"https://fairsharing.org/10.25504/FAIRsharing.gct3wr","doi":"10.25504/FAIRsharing.gct3wr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Statismo defines a storage format (Statistical Image And Shape Models) based on HDF5, which includes all the information necessary to use the model, as well as meta-data about the model creation, which helps to make model building reproducible.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Statistics"],"domains":["Image","Shape"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":710,"pubmed_id":null,"title":"Statismo - A framework for PCA based statistical models","year":2012,"url":"http://doi.org/http://hdl.handle.net/10380/3371","authors":"Lüthi M., Blanc R., Albrecht T., Gass T., Goksel O., Büchler P., Kistler M., Bousleiman H., Reyes M., Cattin P., Vetter T.","journal":"The Insight Journal","doi":"http://hdl.handle.net/10380/3371","created_at":"2021-09-30T08:23:38.286Z","updated_at":"2021-09-30T08:23:38.286Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":185,"relation":"undefined"}],"grants":[{"id":6284,"fairsharing_record_id":854,"organisation_id":1199,"relation":"maintains","created_at":"2021-09-30T09:27:55.086Z","updated_at":"2021-09-30T09:27:55.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":1199,"name":"Graphics and Vision Research Group, University of Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6287,"fairsharing_record_id":854,"organisation_id":591,"relation":"maintains","created_at":"2021-09-30T09:27:55.162Z","updated_at":"2021-09-30T09:27:55.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":591,"name":"Computer Vision Lab, ETH Zurich, Zurich, Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6285,"fairsharing_record_id":854,"organisation_id":116,"relation":"maintains","created_at":"2021-09-30T09:27:55.112Z","updated_at":"2021-09-30T09:27:55.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":116,"name":"ARTORG Center for Biomedical Engineering Research","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6286,"fairsharing_record_id":854,"organisation_id":1395,"relation":"maintains","created_at":"2021-09-30T09:27:55.137Z","updated_at":"2021-09-30T09:27:55.137Z","grant_id":null,"is_lead":false,"saved_state":{"id":1395,"name":"Institute for Surgical Technology and Biomechanics, Bern, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"855","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T13:06:42.000Z","updated_at":"2022-07-20T12:04:47.205Z","metadata":{"doi":"10.25504/FAIRsharing.424420","name":"Genetic Glyco-Diseases Ontology","status":"ready","contacts":[{"contact_name":"Hisashi Narimatsu","contact_email":"h.narimatsu@aist.go.jp","contact_orcid":"0000-0002-8402-133X"}],"homepage":"http://acgg.asia/db/diseases/html/ggdonto.html","identifier":855,"description":"Focused on the molecular etiology, pathogenesis, and clinical manifestations of genetic diseases and disorders of glycan metabolism and developed as a knowledge-base for this scientific field, GGDonto provides comprehensive information on various topics, including links to aid the integration with other scientific resources. The availability and accessibility of this knowledge will help users better understand how genetic defects impact the metabolism of glycans as well as how this impaired metabolism affects various biological functions and human health. In this way, GGDonto will be useful in fields related to glycoscience, including cell biology, biotechnology, and biomedical, and pharmaceutical research.","abbreviation":"GGDonto","support_links":[{"url":"http://jcggdb.jp/rdf/diseases/ggdonto_en.pdf","name":"User Guide","type":"Help documentation"},{"url":"http://jcggdb.jp/rdf/diseases/documentation_ggdonto.pdf","name":"Ontology Documentation","type":"Help documentation"},{"url":"http://jcggdb.jp/rdf/diseases/ggdonto_diagram.png","name":"Ontology diagram","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001211","bsg-s001211"],"name":"FAIRsharing record for: Genetic Glyco-Diseases Ontology","abbreviation":"GGDonto","url":"https://fairsharing.org/10.25504/FAIRsharing.424420","doi":"10.25504/FAIRsharing.424420","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Focused on the molecular etiology, pathogenesis, and clinical manifestations of genetic diseases and disorders of glycan metabolism and developed as a knowledge-base for this scientific field, GGDonto provides comprehensive information on various topics, including links to aid the integration with other scientific resources. The availability and accessibility of this knowledge will help users better understand how genetic defects impact the metabolism of glycans as well as how this impaired metabolism affects various biological functions and human health. In this way, GGDonto will be useful in fields related to glycoscience, including cell biology, biotechnology, and biomedical, and pharmaceutical research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Glycan sequences"],"countries":["Japan"],"publications":[{"id":2219,"pubmed_id":29669592,"title":"GGDonto ontology as a knowledge-base for genetic diseases and disorders of glycan metabolism and their causative genes.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0182-0","authors":"Solovieva E,Shikanai T,Fujita N,Narimatsu H","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0182-0","created_at":"2021-09-30T08:26:30.048Z","updated_at":"2021-09-30T08:26:30.048Z"}],"licence_links":[],"grants":[{"id":6289,"fairsharing_record_id":855,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:55.212Z","updated_at":"2021-09-30T09:27:55.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9309,"fairsharing_record_id":855,"organisation_id":2007,"relation":"maintains","created_at":"2022-04-11T12:07:29.412Z","updated_at":"2022-04-11T12:07:29.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"856","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:34:38.153Z","metadata":{"doi":"10.25504/FAIRsharing.y2dt83","name":"Cell Behavior Ontology","status":"ready","contacts":[{"contact_name":"James P. Sluka","contact_email":"JSluka@indiana.edu","contact_orcid":"0000-0002-5901-1404"}],"homepage":"http://cbo.biocomplexity.indiana.edu/cbo/","identifier":856,"description":"The Cell Behavior Ontology (CBO) describes multi-cell computational models. In particular to describe both the existential behaviors of cells (spatiality, growth, movement, adhesion, death, ...) and computational models of those behaviors.","abbreviation":"CBO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CBO","name":"CBO","portal":"BioPortal"}]},"legacy_ids":["bsg-002570","bsg-s002570"],"name":"FAIRsharing record for: Cell Behavior Ontology","abbreviation":"CBO","url":"https://fairsharing.org/10.25504/FAIRsharing.y2dt83","doi":"10.25504/FAIRsharing.y2dt83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Behavior Ontology (CBO) describes multi-cell computational models. In particular to describe both the existential behaviors of cells (spatiality, growth, movement, adhesion, death, ...) and computational models of those behaviors.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10877},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12016},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16929}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Systems Biology"],"domains":["Mathematical model","Cell","Cell adhesion"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2458,"pubmed_id":24755304,"title":"The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu210","authors":"Sluka JP, Shirinifard A, Swat M, Cosmanescu A, Heiland RW, Glazier JA.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu210","created_at":"2021-09-30T08:27:01.503Z","updated_at":"2021-09-30T08:27:01.503Z"}],"licence_links":[],"grants":[{"id":6291,"fairsharing_record_id":856,"organisation_id":1327,"relation":"maintains","created_at":"2021-09-30T09:27:55.262Z","updated_at":"2021-09-30T09:27:55.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6292,"fairsharing_record_id":856,"organisation_id":2950,"relation":"funds","created_at":"2021-09-30T09:27:55.293Z","updated_at":"2021-09-30T09:29:24.953Z","grant_id":238,"is_lead":false,"saved_state":{"id":2950,"name":"United States Environmental Protection Agency","grant":"R835001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6293,"fairsharing_record_id":856,"organisation_id":393,"relation":"maintains","created_at":"2021-09-30T09:27:55.401Z","updated_at":"2021-09-30T09:27:55.401Z","grant_id":null,"is_lead":false,"saved_state":{"id":393,"name":"Cell Behaviour Ontology (CBO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6295,"fairsharing_record_id":856,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:55.485Z","updated_at":"2021-09-30T09:27:55.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6294,"fairsharing_record_id":856,"organisation_id":1960,"relation":"funds","created_at":"2021-09-30T09:27:55.443Z","updated_at":"2021-09-30T09:29:50.712Z","grant_id":431,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","grant":"LM007885","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6290,"fairsharing_record_id":856,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:55.237Z","updated_at":"2021-09-30T09:30:30.371Z","grant_id":739,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01GM76692","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"857","type":"fairsharing_records","attributes":{"created_at":"2018-07-02T16:21:51.000Z","updated_at":"2022-11-30T07:48:15.987Z","metadata":{"doi":"10.25504/FAIRsharing.wqSgg8","name":"Project Tycho 2.0 custom-compiled dataset format","status":"ready","contacts":[{"contact_name":"Wilbert van Panhuis","contact_email":"wilbert.van.panhuis@pitt.edu","contact_orcid":"0000-0002-7278-9982"}],"homepage":"https://www.tycho.pitt.edu/dataformat/ProjectTychoCustomCompiledDataFormat.pdf","citations":[],"identifier":857,"description":"The Project Tycho 2.0 custom-compiled dataset format is used for datasets compiled and downloaded through the Project Tycho Graphical User Interface or API. In addition to those fields available to the pre-compiled dataset formats provided by Tycho, this custom-compiled dataset format also includes, for each count, the DOI of the pre-compiled dataset that contains the count.","abbreviation":null,"support_links":[{"url":"https://www.tycho.pitt.edu/#contact","name":"Project Tycho contact form","type":"Contact form"}],"year_creation":2018},"legacy_ids":["bsg-001219","bsg-s001219"],"name":"FAIRsharing record for: Project Tycho 2.0 custom-compiled dataset format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.wqSgg8","doi":"10.25504/FAIRsharing.wqSgg8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Project Tycho 2.0 custom-compiled dataset format is used for datasets compiled and downloaded through the Project Tycho Graphical User Interface or API. In addition to those fields available to the pre-compiled dataset formats provided by Tycho, this custom-compiled dataset format also includes, for each count, the DOI of the pre-compiled dataset that contains the count.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12536}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Bacteria","Eukaryota","Fungi","Homo sapiens","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":682,"relation":"undefined"},{"licence_name":"Project Tycho CC BY 4.0 License Document","licence_id":684,"licence_url":"https://www.tycho.pitt.edu/license/","link_id":678,"relation":"undefined"}],"grants":[{"id":6296,"fairsharing_record_id":857,"organisation_id":3115,"relation":"maintains","created_at":"2021-09-30T09:27:55.522Z","updated_at":"2021-09-30T09:27:55.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6300,"fairsharing_record_id":857,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:27:55.686Z","updated_at":"2021-09-30T09:30:41.021Z","grant_id":820,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"49276","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6299,"fairsharing_record_id":857,"organisation_id":2370,"relation":"maintains","created_at":"2021-09-30T09:27:55.635Z","updated_at":"2021-09-30T09:27:55.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2370,"name":"Project Tycho","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6298,"fairsharing_record_id":857,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:27:55.593Z","updated_at":"2021-09-30T09:32:41.287Z","grant_id":1733,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"5K01ES026836-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6297,"fairsharing_record_id":857,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:55.555Z","updated_at":"2021-09-30T09:28:56.182Z","grant_id":22,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"5U54GM088491-09","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ3NCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--184ae00f258551bd2d121570b6def89bd3b033d4/tycho.png?disposition=inline","exhaustive_licences":false}},{"id":"858","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:26.656Z","metadata":{"doi":"10.25504/FAIRsharing.haj4pr","name":"Binary Probe Map Format","status":"ready","homepage":"http://www.affymetrix.com/support/developer/powertools/changelog/gcos-agcc/bpmap.html","identifier":858,"description":"The BPMAP file contains information relating to the design of the Affymetrix tiling arrays. The format of the BPMAP file is a binary file with data stored in big-endian format.","abbreviation":"BPMAP","year_creation":2009},"legacy_ids":["bsg-000215","bsg-s000215"],"name":"FAIRsharing record for: Binary Probe Map Format","abbreviation":"BPMAP","url":"https://fairsharing.org/10.25504/FAIRsharing.haj4pr","doi":"10.25504/FAIRsharing.haj4pr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BPMAP file contains information relating to the design of the Affymetrix tiling arrays. The format of the BPMAP file is a binary file with data stored in big-endian format.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12433}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Biology"],"domains":["Expression data"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6301,"fairsharing_record_id":858,"organisation_id":2825,"relation":"maintains","created_at":"2021-09-30T09:27:55.723Z","updated_at":"2021-09-30T09:27:55.723Z","grant_id":null,"is_lead":true,"saved_state":{"id":2825,"name":"Thermo Fisher Scientific, Waltham, Massachusetts, United States","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"859","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:44:30.955Z","metadata":{"doi":"10.25504/FAIRsharing.7rngj0","name":"International Classification of Functioning, Disability and Health","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"info@who.int"}],"homepage":"https://www.who.int/standards/classifications/international-classification-of-functioning-disability-and-health","identifier":859,"description":"The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related domains. As the functioning and disability of an individual occurs in a context, ICF also includes a list of environmental factors. ICF is the WHO framework for measuring health and disability at both individual and population levels. ICF was officially endorsed by all 191 WHO Member States in the Fifty-fourth World Health Assembly on 22 May 2001 (resolution WHA 54.21) as the international standard to describe and measure health and disability.","abbreviation":"ICF","support_links":[{"url":"https://www.who.int/docs/default-source/classification/icf/drafticfpracticalmanual2.pdf?sfvrsn=8a214b01_4","name":"Practical User Manual","type":"Help documentation"},{"url":"https://cdn.who.int/media/docs/default-source/classification/icf/icfbeginnersguide.pdf?sfvrsn=eead63d3_4","name":"Beginner's Guide","type":"Help documentation"},{"url":"https://www.icf-core-sets.org/","name":"ICF Core Sets","type":"Help documentation"},{"url":"https://www.who.int/docs/default-source/classification/icf/icfchecklist.pdf?sfvrsn=b7ff99e9_4","name":"ICF Patient Checklist","type":"Help documentation"},{"url":"https://apps.who.int/gb/archive/pdf_files/WHA54/ea54r21.pdf?ua=1\u0026ua=1\u0026ua=1","name":"World Health Assembly Resolution WHA 54.21","type":"Help documentation"},{"url":"http://icfeducation.org/","name":"ICF Education Portal","type":"Help documentation"},{"url":"https://www.icf-elearning.com/","name":"ICF e-Learning Tool","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/International_Classification_of_Functioning,_Disability_and_Health","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2001,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICF","name":"ICF","portal":"BioPortal"}]},"legacy_ids":["bsg-002643","bsg-s002643"],"name":"FAIRsharing record for: International Classification of Functioning, Disability and Health","abbreviation":"ICF","url":"https://fairsharing.org/10.25504/FAIRsharing.7rngj0","doi":"10.25504/FAIRsharing.7rngj0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related domains. As the functioning and disability of an individual occurs in a context, ICF also includes a list of environmental factors. ICF is the WHO framework for measuring health and disability at both individual and population levels. ICF was officially endorsed by all 191 WHO Member States in the Fifty-fourth World Health Assembly on 22 May 2001 (resolution WHA 54.21) as the international standard to describe and measure health and disability.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16979}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Primary Health Care","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":1417,"relation":"undefined"},{"licence_name":"World Health Organization (WHO) Copyright, Licencing and Permissions","licence_id":868,"licence_url":"https://www.who.int/about/who-we-are/publishing-policies/copyright","link_id":1415,"relation":"undefined"}],"grants":[{"id":6302,"fairsharing_record_id":859,"organisation_id":1478,"relation":"maintains","created_at":"2021-09-30T09:27:55.786Z","updated_at":"2021-09-30T09:27:55.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":1478,"name":"International Classification of Functioning, Disability and Health (ICF) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"860","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T12:29:34.031Z","metadata":{"doi":"10.25504/FAIRsharing.2fnz2n","name":"GlycoRDF","status":"ready","contacts":[{"contact_name":"Issaku Yamada","contact_email":"issaku@noguchi.or.jp"}],"homepage":"http://www.glycoinfo.org/GlycoRDF/","citations":[{"doi":"10.1093/bioinformatics/btu732","pubmed_id":25388145,"publication_id":2190}],"identifier":860,"description":"GlycoRDF is a standard representation for storing Glycomcis data (glycan structures, publication information, biological source information, experimental data) in RDF. The RDF language is defined by an OWL ontology and documented in the ontology and generated WORD files. Its GitHub repository also contains source code for the generation of RDF data for glycomics databases.","abbreviation":"GLYCORDF","support_links":[{"url":"https://github.com/ReneRanzinger/GlycoRDF/blob/master/ontology/documentation.docx","name":"Documentation (Word format)","type":"Github"}],"year_creation":2014,"associated_tools":[{"url":"https://bit.ly/2BjEgZB","name":"Ontology Visualization"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GLYCORDF","name":"GLYCORDF","portal":"BioPortal"}]},"legacy_ids":["bsg-000889","bsg-s000889"],"name":"FAIRsharing record for: GlycoRDF","abbreviation":"GLYCORDF","url":"https://fairsharing.org/10.25504/FAIRsharing.2fnz2n","doi":"10.25504/FAIRsharing.2fnz2n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoRDF is a standard representation for storing Glycomcis data (glycan structures, publication information, biological source information, experimental data) in RDF. The RDF language is defined by an OWL ontology and documented in the ontology and generated WORD files. Its GitHub repository also contains source code for the generation of RDF data for glycomics databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Glycomics"],"domains":["Molecular structure"],"taxonomies":["All"],"user_defined_tags":["Glycan Annotation"],"countries":["Australia","Japan","United States"],"publications":[{"id":2078,"pubmed_id":24280648,"title":"Introducing glycomics data into the Semantic Web.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-39","authors":"Aoki-Kinoshita KF,Bolleman J,Campbell MP,Kawano S,Kim JD,Lutteke T,Matsubara M,Okuda S,Ranzinger R,Sawaki H,Shikanai T,Shinmachi D,Suzuki Y,Toukach P,Yamada I,Packer NH,Narimatsu H","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-39","created_at":"2021-09-30T08:26:14.257Z","updated_at":"2021-09-30T08:26:14.257Z"},{"id":2190,"pubmed_id":25388145,"title":"GlycoRDF: an ontology to standardize glycomics data in RDF.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu732","authors":"Ranzinger R,Aoki-Kinoshita KF,Campbell MP,Kawano S,Lutteke T,Okuda S,Shinmachi D,Shikanai T,Sawaki H,Toukach P,Matsubara M,Yamada I,Narimatsu H","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu732","created_at":"2021-09-30T08:26:26.872Z","updated_at":"2021-09-30T08:26:26.872Z"}],"licence_links":[],"grants":[{"id":6305,"fairsharing_record_id":860,"organisation_id":2591,"relation":"maintains","created_at":"2021-09-30T09:27:55.898Z","updated_at":"2021-09-30T09:27:55.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":2591,"name":"Soka University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6303,"fairsharing_record_id":860,"organisation_id":1201,"relation":"maintains","created_at":"2021-09-30T09:27:55.822Z","updated_at":"2021-09-30T09:27:55.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":1201,"name":"Griffith University, Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6304,"fairsharing_record_id":860,"organisation_id":2813,"relation":"maintains","created_at":"2021-09-30T09:27:55.860Z","updated_at":"2021-09-30T09:27:55.860Z","grant_id":null,"is_lead":false,"saved_state":{"id":2813,"name":"The Noguchi Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6306,"fairsharing_record_id":860,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:27:55.932Z","updated_at":"2021-09-30T09:27:55.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"861","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:19:04.808Z","metadata":{"doi":"10.25504/FAIRsharing.cp0fs9","name":"ARLEQUIN Project Format","status":"ready","contacts":[{"contact_name":"Laurent Excoffier","contact_email":"laurent.excoffier@zoo.unibe.ch","contact_orcid":"0000-0002-7507-6494"}],"homepage":"http://cmpg.unibe.ch/software/arlequin35/","identifier":861,"description":"Arlequin ver 3.0 is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework.","abbreviation":null,"support_links":[{"url":"http://cmpg.unibe.ch/software/arlequin35/Arl35Screenshots.html","type":"Help documentation"},{"url":"http://popgen.unibe.ch/software/arlequin35/man/Arlequin35.pdf","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-000207","bsg-s000207"],"name":"FAIRsharing record for: ARLEQUIN Project Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.cp0fs9","doi":"10.25504/FAIRsharing.cp0fs9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Arlequin ver 3.0 is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Population Genetics"],"domains":["DNA sequence data","Analysis","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1682,"pubmed_id":19325852,"title":"Arlequin (version 3.0): an integrated software package for population genetics data analysis.","year":2005,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19325852","authors":"Excoffier L,Laval G,Schneider S","journal":"Evol Bioinform Online","doi":null,"created_at":"2021-09-30T08:25:28.462Z","updated_at":"2021-09-30T08:25:28.462Z"},{"id":1683,"pubmed_id":21565059,"title":"Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.","year":2011,"url":"http://doi.org/10.1111/j.1755-0998.2010.02847.x","authors":"Excoffier L,Lischer HE","journal":"Mol Ecol Resour","doi":"10.1111/j.1755-0998.2010.02847.x","created_at":"2021-09-30T08:25:28.571Z","updated_at":"2021-09-30T08:25:28.571Z"}],"licence_links":[],"grants":[{"id":6307,"fairsharing_record_id":861,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:27:55.964Z","updated_at":"2021-09-30T09:31:05.432Z","grant_id":1011,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31-56755.99","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6308,"fairsharing_record_id":861,"organisation_id":575,"relation":"maintains","created_at":"2021-09-30T09:27:55.993Z","updated_at":"2021-09-30T09:27:55.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":575,"name":"Computational and Molecular Population Genetics Lab, University of Bern, Bern, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"840","type":"fairsharing_records","attributes":{"created_at":"2019-11-22T15:18:30.000Z","updated_at":"2022-07-20T09:55:24.772Z","metadata":{"doi":"10.25504/FAIRsharing.NIvbz9","name":"Art and Archaeology Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/27X/en/","citations":[],"identifier":840,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Art and Archaeology\" FRANCIS database (1972-2015). It consists of 1960 entries available in mainly 2 languages (English, French) and grouped into 133 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001403","bsg-s001403"],"name":"FAIRsharing record for: Art and Archaeology Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.NIvbz9","doi":"10.25504/FAIRsharing.NIvbz9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Art and Archaeology\" FRANCIS database (1972-2015). It consists of 1960 entries available in mainly 2 languages (English, French) and grouped into 133 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11297}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Archaeology","Humanities","Art"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1340,"relation":"undefined"}],"grants":[{"id":6253,"fairsharing_record_id":840,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:54.261Z","updated_at":"2021-09-30T09:27:54.261Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6254,"fairsharing_record_id":840,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:54.285Z","updated_at":"2021-09-30T09:27:54.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"841","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T17:29:10.000Z","updated_at":"2023-05-05T08:42:45.921Z","metadata":{"doi":"10.25504/FAIRsharing.hgsFLe","name":"Darwin Core Germplasm","status":"ready","contacts":[{"contact_name":"Dag Endresen","contact_email":"dag.endresen@gmail.com","contact_orcid":"0000-0002-2352-5497"}],"homepage":"https://github.com/dagendresen/darwincore-germplasm","citations":[],"identifier":841,"description":"The Darwin Core germplasm extension (DwC-germplasm) was developed to provide a bridge between the established standards in use by the genebank community for plant genetic resources for food and agriculture (PGRFA) and the standards maintained by the Biodiversity Information Standards/Taxonomic Databases Working Group (TDWG). The DwC-germplasm provides an extension to the Darwin Core standard of the TDWG for occurrences. Darwin Core can be seen as an extension to the Dublin Core Metadata Data Initiative (DCMI) terms.","abbreviation":"DwC-germplasm","year_creation":2012},"legacy_ids":["bsg-001319","bsg-s001319"],"name":"FAIRsharing record for: Darwin Core Germplasm","abbreviation":"DwC-germplasm","url":"https://fairsharing.org/10.25504/FAIRsharing.hgsFLe","doi":"10.25504/FAIRsharing.hgsFLe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Darwin Core germplasm extension (DwC-germplasm) was developed to provide a bridge between the established standards in use by the genebank community for plant genetic resources for food and agriculture (PGRFA) and the standards maintained by the Biodiversity Information Standards/Taxonomic Databases Working Group (TDWG). The DwC-germplasm provides an extension to the Darwin Core standard of the TDWG for occurrences. Darwin Core can be seen as an extension to the Dublin Core Metadata Data Initiative (DCMI) terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Biodiversity","Agriculture","Biology","Plant Genetics"],"domains":["Resource metadata","Food"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Norway"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":76,"relation":"undefined"}],"grants":[{"id":6255,"fairsharing_record_id":841,"organisation_id":2092,"relation":"maintains","created_at":"2021-09-30T09:27:54.311Z","updated_at":"2021-09-30T09:27:54.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2092,"name":"Natural History Museum at the University of Oslo, Norway","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"842","type":"fairsharing_records","attributes":{"created_at":"2020-09-20T08:55:45.000Z","updated_at":"2022-07-20T10:08:34.170Z","metadata":{"doi":"10.25504/FAIRsharing.e68dba","name":"Paleoenvironmental Standard Terms Thesaurus","status":"ready","contacts":[{"contact_name":"NCEI Paleoclimatology General Contact","contact_email":"paleo@noaa.gov"}],"homepage":"https://www.ncdc.noaa.gov/data-access/paleoclimatology-data/past-thesaurus","citations":[],"identifier":842,"description":"The Paleoenvironmental Standard Terms (PaST) Thesaurus is a thesaurus of standard terms used for defining measured variables by the World Data Service for Paleoclimatology. These terms describe the quantity measured, the material on which it was measured, reported error, units, analytical or statistical methods, transformations made to raw data, reconstructed seasonality, data type, and data format. Standard terms organize heterogeneous paleoclimate datasets and improve the findability, interoperability, and reusability of data.","abbreviation":"PaST Thesaurus","support_links":[{"url":"https://www.ncei.noaa.gov/pub/data/paleo/PaST-thesaurus/Variable_naming_guide.pdf","name":"Variable Naming Guide (PDF)","type":"Help documentation"},{"url":"https://www1.ncdc.noaa.gov/pub/data/paleo/PaST-thesaurus/PaST-governance.pdf","name":"PaST Governance","type":"Help documentation"}]},"legacy_ids":["bsg-001528","bsg-s001528"],"name":"FAIRsharing record for: Paleoenvironmental Standard Terms Thesaurus","abbreviation":"PaST Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.e68dba","doi":"10.25504/FAIRsharing.e68dba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Paleoenvironmental Standard Terms (PaST) Thesaurus is a thesaurus of standard terms used for defining measured variables by the World Data Service for Paleoclimatology. These terms describe the quantity measured, the material on which it was measured, reported error, units, analytical or statistical methods, transformations made to raw data, reconstructed seasonality, data type, and data format. Standard terms organize heterogeneous paleoclimate datasets and improve the findability, interoperability, and reusability of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Paleoceanography","Paleoclimatology","Paleolimnology"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6256,"fairsharing_record_id":842,"organisation_id":1971,"relation":"maintains","created_at":"2021-09-30T09:27:54.335Z","updated_at":"2021-09-30T09:27:54.335Z","grant_id":null,"is_lead":true,"saved_state":{"id":1971,"name":"National Centers for Environmental Information (NCEI), National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"843","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2021-11-24T13:20:18.757Z","metadata":{"doi":"10.25504/FAIRsharing.wqy605","name":"Ontology Metadata Vocabulary","status":"ready","contacts":[{"contact_name":"Raúl Palma","contact_email":"rpalma@man.poznan.pl"}],"homepage":"http://omv2.sourceforge.net/index.html","identifier":843,"description":"A standard for ontology metadata; a vocabulary of terms and definitions describing ontologies which specifies reusability-enhancing ontology features for human and machine processing purposes.","abbreviation":"OMV","support_links":[{"url":"jgraybeal@stanford.edu","name":"John Graybeal","type":"Support email"},{"url":"phaase@gmail.com","name":"Peter Haase","type":"Support email"}],"year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMV","name":"OMV","portal":"BioPortal"}]},"legacy_ids":["bsg-000729","bsg-s000729"],"name":"FAIRsharing record for: Ontology Metadata Vocabulary","abbreviation":"OMV","url":"https://fairsharing.org/10.25504/FAIRsharing.wqy605","doi":"10.25504/FAIRsharing.wqy605","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A standard for ontology metadata; a vocabulary of terms and definitions describing ontologies which specifies reusability-enhancing ontology features for human and machine processing purposes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Germany","Poland","Spain"],"publications":[{"id":1952,"pubmed_id":null,"title":"OMV - Ontology Metadata Vocabulary","year":2005,"url":"https://www.researchgate.net/publication/228355305_OMV-ontology_metadata_vocabulary","authors":"Jens Hartmann, York Sure, Peter Haase, Raúl Palma, Mari del Carmen Suárez-Figueroa","journal":"ISWC 2005 - In Ontology Patterns for the Semantic Web","doi":null,"created_at":"2021-09-30T08:25:59.664Z","updated_at":"2021-09-30T11:28:33.628Z"},{"id":1971,"pubmed_id":null,"title":"Ontology Metadata Vocabulary and Applications","year":2005,"url":"https://link.springer.com/chapter/10.1007/11575863_112","authors":"Jens Hartmann, Raúl Palma, York Sure, Mari del Carmen Suárez-Figueroa, Peter Haase, Asunción Gómez-Pérez, Rudi Studer","journal":"International Conference on Ontologies, Databases and Applications of Semantics. In Workshop on Web Semantics (SWWS)","doi":null,"created_at":"2021-09-30T08:26:01.814Z","updated_at":"2021-09-30T11:28:33.860Z"},{"id":1972,"pubmed_id":null,"title":"DEMO - Design Environment for Metadata Ontologies","year":2006,"url":"https://link.springer.com/chapter/10.1007/11762256_32","authors":"Jens Hartmann, Elena Paslaru Bontas, Raúl Palma, Asunción Gómez-Pérez","journal":"The Semantic Web: Research and Applications, 3rd European Semantic Web Conference, ESWC 2006","doi":null,"created_at":"2021-09-30T08:26:01.916Z","updated_at":"2021-09-30T11:28:33.964Z"}],"licence_links":[],"grants":[{"id":6258,"fairsharing_record_id":843,"organisation_id":2351,"relation":"maintains","created_at":"2021-09-30T09:27:54.385Z","updated_at":"2021-09-30T09:27:54.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":2351,"name":"Poznan Supercomputing and Networking Center, Poznan, Poland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6257,"fairsharing_record_id":843,"organisation_id":2968,"relation":"maintains","created_at":"2021-09-30T09:27:54.362Z","updated_at":"2021-09-30T09:27:54.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":2968,"name":"Universidad Politecnica de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6259,"fairsharing_record_id":843,"organisation_id":1624,"relation":"maintains","created_at":"2021-09-30T09:27:54.411Z","updated_at":"2021-09-30T09:27:54.411Z","grant_id":null,"is_lead":false,"saved_state":{"id":1624,"name":"Karlsruhe Institute of Technology","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"844","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.149Z","metadata":{"doi":"10.25504/FAIRsharing.6t5q3m","name":"African Traditional Medicine","status":"ready","contacts":[{"contact_name":"Ghislain Atemezing","contact_email":"ghislain.atemezing@gmail.com","contact_orcid":"0000-0002-9553-8123"}],"homepage":"http://ontohub.org/bioportal/ATMO///symbols?kind=Class","identifier":844,"description":"African Traditional Medicine Ontology (ATMO) describes the actors' function (healer, fetishist or soothsayer); the different types of proposed process treatment, the symptom's roles and the disease consideration.","abbreviation":"ATMO","support_links":[{"url":"https://www.researchgate.net/publication/221611189_An_Ontology_for_African_Traditional_Medicine","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ATMO","name":"ATMO","portal":"BioPortal"}]},"legacy_ids":["bsg-002574","bsg-s002574"],"name":"FAIRsharing record for: African Traditional Medicine","abbreviation":"ATMO","url":"https://fairsharing.org/10.25504/FAIRsharing.6t5q3m","doi":"10.25504/FAIRsharing.6t5q3m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: African Traditional Medicine Ontology (ATMO) describes the actors' function (healer, fetishist or soothsayer); the different types of proposed process treatment, the symptom's roles and the disease consideration.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Traditional Medicine","Biomedical Science"],"domains":["Disease process modeling"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Cameroon","Spain"],"publications":[{"id":1270,"pubmed_id":null,"title":"An Ontology for African Traditional Medicine","year":2009,"url":"http://doi.org/10.1007/978-3-540-85863-8_39","authors":"Atemezing G., Pavón J.","journal":"International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008).","doi":"10.1007/978-3-540-85863-8_39","created_at":"2021-09-30T08:24:41.801Z","updated_at":"2021-09-30T08:24:41.801Z"},{"id":1711,"pubmed_id":null,"title":"Towards a “Deep” Ontology for African Traditional Medicine","year":2011,"url":"http://doi.org/10.4236/iim.2011.36030","authors":"Ayimdji A, Koussoubé S, Fotso LP, Konfé BO","journal":"Intelligent Information Management","doi":"10.4236/iim.2011.36030","created_at":"2021-09-30T08:25:31.721Z","updated_at":"2021-09-30T08:25:31.721Z"}],"licence_links":[],"grants":[{"id":6260,"fairsharing_record_id":844,"organisation_id":835,"relation":"maintains","created_at":"2021-09-30T09:27:54.435Z","updated_at":"2021-09-30T09:27:54.435Z","grant_id":null,"is_lead":false,"saved_state":{"id":835,"name":"El Departamento de Ingenierea de Software e Inteligencia Artificial, Universidad Complitense,Madrid, Spain","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"845","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T11:51:57.000Z","updated_at":"2023-09-29T11:55:00.000Z","metadata":{"doi":"10.25504/FAIRsharing.60a646","name":"Information and documentation -- Thesauri and interoperability with other vocabularies -- Part 1: Thesauri for information retrieval","status":"ready","contacts":[{"contact_name":"Todd Carpenter","contact_email":"tcarpenter@niso.org"}],"homepage":"https://www.iso.org/standard/53657.html","citations":[],"identifier":845,"description":"ISO 25964-1:2011 gives recommendations for the development and maintenance of thesauri intended for information retrieval applications. It is applicable to vocabularies used for retrieving information about all types of information resources, irrespective of the media used (text, sound, still or moving image, physical object or multimedia) including knowledge bases and portals, bibliographic databases, text, museum or multimedia collections, and the items within them. ISO 25964-1:2011 also provides a data model and recommended format for the import and export of thesaurus data. ISO 25964-1:2011 is applicable to monolingual and multilingual thesauri.","abbreviation":"ISO 25964-1:2011","support_links":[{"url":"https://www.iso.org/contents/data/standard/05/36/53657.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2011},"legacy_ids":["bsg-001246","bsg-s001246"],"name":"FAIRsharing record for: Information and documentation -- Thesauri and interoperability with other vocabularies -- Part 1: Thesauri for information retrieval","abbreviation":"ISO 25964-1:2011","url":"https://fairsharing.org/10.25504/FAIRsharing.60a646","doi":"10.25504/FAIRsharing.60a646","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 25964-1:2011 gives recommendations for the development and maintenance of thesauri intended for information retrieval applications. It is applicable to vocabularies used for retrieving information about all types of information resources, irrespective of the media used (text, sound, still or moving image, physical object or multimedia) including knowledge bases and portals, bibliographic databases, text, museum or multimedia collections, and the items within them. ISO 25964-1:2011 also provides a data model and recommended format for the import and export of thesaurus data. ISO 25964-1:2011 is applicable to monolingual and multilingual thesauri.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Data retrieval","Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","thesaurus"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":289,"relation":"undefined"}],"grants":[{"id":10932,"fairsharing_record_id":845,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:22:30.017Z","updated_at":"2023-09-27T14:22:30.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6261,"fairsharing_record_id":845,"organisation_id":1531,"relation":"maintains","created_at":"2021-09-30T09:27:54.461Z","updated_at":"2021-09-30T09:27:54.461Z","grant_id":null,"is_lead":true,"saved_state":{"id":1531,"name":"International Standards Organisation (ISO) ISO/TC 46/SC 9: Identification and description","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"846","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.620Z","metadata":{"doi":"10.25504/FAIRsharing.recas1","name":"Regulation of Gene Expression Ontolology","status":"ready","contacts":[{"contact_name":"Martin Kuiper","contact_email":"kuiper@bio.ntnu.no","contact_orcid":"0000-0002-1171-9876"}],"homepage":"https://bioportal.bioontology.org/ontologies/REXO","identifier":846,"description":"An application ontology for the domain of gene expression regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","abbreviation":"ReXO","support_links":[{"url":"cco@nt.ntnu.no","type":"Support email"},{"url":"vladimir.n.mironov@gmail.com","name":"Vladimir Mironov","type":"Support email"},{"url":"ccofriends@bio.ntnu.no","type":"Mailing list"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/REXO","name":"REXO","portal":"BioPortal"}]},"legacy_ids":["bsg-002831","bsg-s002831"],"name":"FAIRsharing record for: Regulation of Gene Expression Ontolology","abbreviation":"ReXO","url":"https://fairsharing.org/10.25504/FAIRsharing.recas1","doi":"10.25504/FAIRsharing.recas1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of gene expression regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12472}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Regulation of gene expression","Orthologous"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":972,"pubmed_id":25490885,"title":"Finding gene regulatory network candidates using the gene expression knowledge base.","year":2014,"url":"http://doi.org/10.1186/s12859-014-0386-y","authors":"Venkatesan A,Tripathi S,Sanz de Galdeano A,Blonde W,Laegreid A,Mironov V,Kuiper M","journal":"BMC Bioinformatics","doi":"10.1186/s12859-014-0386-y","created_at":"2021-09-30T08:24:07.541Z","updated_at":"2021-09-30T08:24:07.541Z"}],"licence_links":[],"grants":[{"id":6262,"fairsharing_record_id":846,"organisation_id":2544,"relation":"maintains","created_at":"2021-09-30T09:27:54.485Z","updated_at":"2021-09-30T09:27:54.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2544,"name":"Semantic Systems Biology Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"847","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T17:50:22.000Z","updated_at":"2022-07-20T12:08:17.519Z","metadata":{"doi":"10.25504/FAIRsharing.ed7f20","name":"EDMED Metadata profile format","status":"ready","contacts":[{"contact_name":"General enquiries","contact_email":"enquiries@bodc.ac.uk"}],"homepage":"https://www.bodc.ac.uk/resources/inventories/edmed/","identifier":847,"description":"The EDMED Metadata Profile checklist defines a 2-part checklist of items that should be included in EDMED entries. Part A describes the centre (e.g. laboratory, institute, university department) holding the data set(s) referenced in the entry. Part A is followed by one or more occurrences of Part B, each of which contains the description of a single data set.","abbreviation":null,"year_creation":1999},"legacy_ids":["bsg-001320","bsg-s001320"],"name":"FAIRsharing record for: EDMED Metadata profile format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ed7f20","doi":"10.25504/FAIRsharing.ed7f20","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EDMED Metadata Profile checklist defines a 2-part checklist of items that should be included in EDMED entries. Part A describes the centre (e.g. laboratory, institute, university department) holding the data set(s) referenced in the entry. Part A is followed by one or more occurrences of Part B, each of which contains the description of a single data set.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science","Biology"],"domains":["Marine environment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"British Oceanographic Data Centre (BODC) Copyright Statement","licence_id":87,"licence_url":"https://www.bodc.ac.uk/resources/help_and_hints/using_this_web_site/copyright/","link_id":1503,"relation":"undefined"}],"grants":[{"id":6264,"fairsharing_record_id":847,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:27:54.535Z","updated_at":"2021-09-30T09:27:54.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6263,"fairsharing_record_id":847,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:54.511Z","updated_at":"2021-09-30T09:27:54.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6265,"fairsharing_record_id":847,"organisation_id":2057,"relation":"maintains","created_at":"2021-09-30T09:27:54.562Z","updated_at":"2021-09-30T09:27:54.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":2057,"name":"National Oceanographic Centre (NOC), Liverpool Site, Liverpool, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"862","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:32.885Z","metadata":{"doi":"10.25504/FAIRsharing.gr46wx","name":"Transparent Reporting of Evaluations with Non-randomized Designs","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"trend@cdc.gov"}],"homepage":"https://www.cdc.gov/trendstatement/","identifier":862,"description":"Transparent Reporting of Evaluations with Non-randomized Designs (TREND) is a 22-item checklist specifically developed to guide standardized reporting of non-randomized controlled trials. The TREND statement complements the widely adopted CONsolidated Standards Of Reporting Trials (CONSORT) statement developed for randomized controlled trials. It is intended to be used as a guide when designing evaluation studies, reporting evaluation results, and reviewing manuscripts for scientific publication. Evidence-based public health decisions are based on evaluations of intervention studies with randomized and non-randomized designs. Transparent reporting is crucial for assessing the validity and efficacy of these intervention studies, and, it facilitates synthesis of the findings for evidence-based recommendations. TREND is intended to improve the reporting standards of non-randomized evaluations of behavioral and public health intervention.","abbreviation":"TREND","year_creation":2003},"legacy_ids":["bsg-000066","bsg-s000066"],"name":"FAIRsharing record for: Transparent Reporting of Evaluations with Non-randomized Designs","abbreviation":"TREND","url":"https://fairsharing.org/10.25504/FAIRsharing.gr46wx","doi":"10.25504/FAIRsharing.gr46wx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Transparent Reporting of Evaluations with Non-randomized Designs (TREND) is a 22-item checklist specifically developed to guide standardized reporting of non-randomized controlled trials. The TREND statement complements the widely adopted CONsolidated Standards Of Reporting Trials (CONSORT) statement developed for randomized controlled trials. It is intended to be used as a guide when designing evaluation studies, reporting evaluation results, and reviewing manuscripts for scientific publication. Evidence-based public health decisions are based on evaluations of intervention studies with randomized and non-randomized designs. Transparent reporting is crucial for assessing the validity and efficacy of these intervention studies, and, it facilitates synthesis of the findings for evidence-based recommendations. TREND is intended to improve the reporting standards of non-randomized evaluations of behavioral and public health intervention.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11931},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12397}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Systematic review","Non-randomized controlled trials"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":829,"pubmed_id":14998794,"title":"Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement.","year":2004,"url":"http://doi.org/10.2105/ajph.94.3.361","authors":"Des Jarlais DC,Lyles C,Crepaz N","journal":"Am J Public Health","doi":"10.2105/ajph.94.3.361","created_at":"2021-09-30T08:23:51.429Z","updated_at":"2021-09-30T08:23:51.429Z"},{"id":1671,"pubmed_id":23257774,"title":"Evaluating the impact and use of Transparent Reporting of Evaluations with Non-randomised Designs (TREND) reporting guidelines.","year":2012,"url":"http://doi.org/10.1136/bmjopen-2012-002073","authors":"Fuller T,Pearson M,Peters JL,Anderson R","journal":"BMJ Open","doi":"10.1136/bmjopen-2012-002073","created_at":"2021-09-30T08:25:27.220Z","updated_at":"2021-09-30T08:25:27.220Z"},{"id":1672,"pubmed_id":25211744,"title":"Impact of the transparent reporting of evaluations with nonrandomized designs reporting guideline: ten years on.","year":2014,"url":"http://doi.org/10.2105/AJPH.2014.302195","authors":"Fuller T,Peters J,Pearson M,Anderson R","journal":"Am J Public Health","doi":"10.2105/AJPH.2014.302195","created_at":"2021-09-30T08:25:27.329Z","updated_at":"2021-09-30T08:25:27.329Z"}],"licence_links":[{"licence_name":"CDC Privacy Policy","licence_id":109,"licence_url":"http://www.cdc.gov/Other/privacy.html","link_id":454,"relation":"undefined"}],"grants":[{"id":6309,"fairsharing_record_id":862,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:56.023Z","updated_at":"2021-09-30T09:27:56.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6310,"fairsharing_record_id":862,"organisation_id":442,"relation":"maintains","created_at":"2021-09-30T09:27:56.054Z","updated_at":"2021-09-30T09:27:56.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":442,"name":"Centers for Disease Control and Prevention, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6311,"fairsharing_record_id":862,"organisation_id":2873,"relation":"maintains","created_at":"2021-09-30T09:27:56.085Z","updated_at":"2021-09-30T09:27:56.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":2873,"name":"TREND group","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"863","type":"fairsharing_records","attributes":{"created_at":"2019-09-23T09:02:14.000Z","updated_at":"2022-07-20T13:21:42.811Z","metadata":{"doi":"10.25504/FAIRsharing.ms2BuC","name":"Dutch ColoRectal Audit - Radiotherapy","status":"ready","contacts":[{"contact_name":"DICA Service Desk","contact_email":"fair@mrdm.nl"},{"contact_name":"DICA Information analysis","contact_email":"informatieanalyse@dica.nl","contact_orcid":null}],"homepage":"https://github.com/mrdm-nl/dica-set-dcrar","citations":[],"identifier":863,"description":"The Dutch ColoRectal Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of colorectal carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the DCRA-R data.","abbreviation":"DCRA-R","support_links":[{"url":"http://dica.nl/media/2034/20190425%20DCRA%20ENG%20vertaling.pdf","name":"DCRA Main Features","type":"Help documentation"},{"url":"https://dica.nl/dcra/documenten","name":"DCRA-R Document Homepage","type":"Help documentation"},{"url":"https://dica.nl/dcra/dcra-fair","name":"DCRA-R FAIR information","type":"Other"}],"year_creation":2019},"legacy_ids":["bsg-001390","bsg-s001390"],"name":"FAIRsharing record for: Dutch ColoRectal Audit - Radiotherapy","abbreviation":"DCRA-R","url":"https://fairsharing.org/10.25504/FAIRsharing.ms2BuC","doi":"10.25504/FAIRsharing.ms2BuC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dutch ColoRectal Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of colorectal carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the DCRA-R data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Oncology","Gastroenterology","Biomedical Science","Radiobiology"],"domains":["Cancer","Tumor","Radiotherapy"],"taxonomies":["Homo sapiens"],"user_defined_tags":["colon","colorectal","dose","Dose Volume Histogram","fraction","rectum"],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"DICA License and Terms of Use","licence_id":242,"licence_url":"http://dica.nl/media/2033/20190425%20DCRA%20ENG%20reglement.pdf","link_id":415,"relation":"undefined"}],"grants":[{"id":6312,"fairsharing_record_id":863,"organisation_id":795,"relation":"maintains","created_at":"2021-09-30T09:27:56.124Z","updated_at":"2021-09-30T09:27:56.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":795,"name":"Dutch Institute for Clinical Auditing (DICA)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6313,"fairsharing_record_id":863,"organisation_id":1906,"relation":"maintains","created_at":"2021-09-30T09:27:56.156Z","updated_at":"2021-09-30T09:27:56.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":1906,"name":"MRDM","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6314,"fairsharing_record_id":863,"organisation_id":2111,"relation":"maintains","created_at":"2021-09-30T09:27:56.189Z","updated_at":"2021-09-30T09:27:56.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":2111,"name":"Nederlandse Vereniging voor Radiotherapie en Oncologie (NVRO)","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"864","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.937Z","metadata":{"doi":"10.25504/FAIRsharing.2nrf9f","name":"Wiggle Track Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/wiggle.html","identifier":864,"description":"The wiggle (WIG) format is an older format for display of dense, continuous data such as GC percent, probability scores, and transcriptome data. The bigWig format is the recommended format for almost all graphing track needs. For speed and efficiency, wiggle data is compressed and stored internally in 128 unique bins. This compression means that there is a minor loss of precision when data is exported from a wiggle track (i.e., with output format \"data points\" or \"bed format\" within the Table Browser). The bedGraph format should be used if it is important to retain exact data when exporting.","abbreviation":"WIG","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000271","bsg-s000271"],"name":"FAIRsharing record for: Wiggle Track Format","abbreviation":"WIG","url":"https://fairsharing.org/10.25504/FAIRsharing.2nrf9f","doi":"10.25504/FAIRsharing.2nrf9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The wiggle (WIG) format is an older format for display of dense, continuous data such as GC percent, probability scores, and transcriptome data. The bigWig format is the recommended format for almost all graphing track needs. For speed and efficiency, wiggle data is compressed and stored internally in 128 unique bins. This compression means that there is a minor loss of precision when data is exported from a wiggle track (i.e., with output format \"data points\" or \"bed format\" within the Table Browser). The bedGraph format should be used if it is important to retain exact data when exporting.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12017}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Deoxyribonucleic acid","Genome","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6315,"fairsharing_record_id":864,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:56.212Z","updated_at":"2021-09-30T09:27:56.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"865","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:12.685Z","metadata":{"doi":"10.25504/FAIRsharing.mxz4jy","name":"Minimum Information for Publication of Quantitative Real-Time PCR Experiments","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@rdml.org"}],"homepage":"https://rdml.org/miqe.html","citations":[{"doi":"10.1373/clinchem.2008.112797","pubmed_id":19246619,"publication_id":1691}],"identifier":865,"description":"The aim of MIQE is to provide authors, reviewers and editors with specifications for the minimum information that must be reported for a qPCR experiment in order to ensure its relevance, accuracy, correct interpretation and repeatability.","abbreviation":"MIQE","support_links":[{"url":"https://github.com/RDML-consortium","name":"GitHub Project","type":"Github"}],"year_creation":2008,"associated_tools":[{"url":"https://sourceforge.net/projects/qpcr-ninja/","name":"RDML Ninja"}]},"legacy_ids":["bsg-000185","bsg-s000185"],"name":"FAIRsharing record for: Minimum Information for Publication of Quantitative Real-Time PCR Experiments","abbreviation":"MIQE","url":"https://fairsharing.org/10.25504/FAIRsharing.mxz4jy","doi":"10.25504/FAIRsharing.mxz4jy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of MIQE is to provide authors, reviewers and editors with specifications for the minimum information that must be reported for a qPCR experiment in order to ensure its relevance, accuracy, correct interpretation and repeatability.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11160},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11591},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11997}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biology"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Real time polymerase chain reaction","Gene expression","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Czech Republic","Germany","Sweden","United Kingdom","United States"],"publications":[{"id":1691,"pubmed_id":19246619,"title":"The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.","year":2009,"url":"http://doi.org/10.1373/clinchem.2008.112797","authors":"Bustin SA,Benes V,Garson JA,Hellemans J,Huggett J,Kubista M,Mueller R,Nolan T,Pfaffl MW,Shipley GL,Vandesompele J,Wittwer CT","journal":"Clin Chem","doi":"10.1373/clinchem.2008.112797","created_at":"2021-09-30T08:25:29.503Z","updated_at":"2021-09-30T08:25:29.503Z"},{"id":2150,"pubmed_id":20858237,"title":"MIQE precis: Practical implementation of minimum standard guidelines for fluorescence-based quantitative real-time PCR experiments.","year":2010,"url":"http://doi.org/10.1186/1471-2199-11-74","authors":"Bustin SA,Beaulieu JF,Huggett J,Jaggi R,Kibenge FS,Olsvik PA,Penning LC,Toegel S","journal":"BMC Mol Biol","doi":"10.1186/1471-2199-11-74","created_at":"2021-09-30T08:26:22.275Z","updated_at":"2021-09-30T08:26:22.275Z"}],"licence_links":[],"grants":[{"id":6316,"fairsharing_record_id":865,"organisation_id":632,"relation":"funds","created_at":"2021-09-30T09:27:56.238Z","updated_at":"2021-09-30T09:29:43.965Z","grant_id":377,"is_lead":false,"saved_state":{"id":632,"name":"Czech Academy of Science (CAS), Prague, Czech Republic","grant":"IAA500520809","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8067,"fairsharing_record_id":865,"organisation_id":632,"relation":"funds","created_at":"2021-09-30T09:30:44.961Z","updated_at":"2021-09-30T09:30:45.011Z","grant_id":851,"is_lead":false,"saved_state":{"id":632,"name":"Czech Academy of Science (CAS), Prague, Czech Republic","grant":"AV0250520701","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11583,"fairsharing_record_id":865,"organisation_id":2407,"relation":"maintains","created_at":"2024-03-21T13:59:12.510Z","updated_at":"2024-03-21T13:59:12.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":2407,"name":"RDML consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"866","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T14:02:57.000Z","updated_at":"2022-07-20T11:58:12.739Z","metadata":{"doi":"10.25504/FAIRsharing.dce535","name":"CSDMS Standard Names","status":"ready","contacts":[{"contact_name":"Scott Peckham","contact_email":"scott.peckham@colorado.edu"}],"homepage":"https://csdms.colorado.edu/wiki/CSDMS_Standard_Names","identifier":866,"description":"Community Surface Dynamics Modeling System (CSDMS) Standard Names (CSN) provide a comprehensive set of naming rules and patterns that are not specific to any particular modeling domain.They are an early form of research into the identification and categorization of scientific variables. CSDMS Standard Names were designed for parsability and natural alphabetical grouping. CSDMS Standard Names always consist of an object part and a quantity/attribute part and the quantity part may also have an operation prefix which can consist of multiple operations. The ideas and concepts first expressed with CSDMS Standard Names have been further developed in the Scientific Variables Ontology (SVO).","abbreviation":"CSN","support_links":[{"url":"CSDMS@colorado.edu","name":"General Contact","type":"Support email"},{"url":"https://csdms.colorado.edu/wiki/CSN_Motivation","name":"About CSN","type":"Help documentation"},{"url":"https://csdms.colorado.edu/wiki/CSN_Basic_Rules","name":"Curation Rules","type":"Help documentation"}],"year_creation":2014,"associated_tools":[{"url":"https://csdms.colorado.edu/wiki/Workbench","name":"CSDMS Workbench"}]},"legacy_ids":["bsg-001562","bsg-s001562"],"name":"FAIRsharing record for: CSDMS Standard Names","abbreviation":"CSN","url":"https://fairsharing.org/10.25504/FAIRsharing.dce535","doi":"10.25504/FAIRsharing.dce535","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Community Surface Dynamics Modeling System (CSDMS) Standard Names (CSN) provide a comprehensive set of naming rules and patterns that are not specific to any particular modeling domain.They are an early form of research into the identification and categorization of scientific variables. CSDMS Standard Names were designed for parsability and natural alphabetical grouping. CSDMS Standard Names always consist of an object part and a quantity/attribute part and the quantity part may also have an operation prefix which can consist of multiple operations. The ideas and concepts first expressed with CSDMS Standard Names have been further developed in the Scientific Variables Ontology (SVO).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Experimental measurement","Assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3110,"pubmed_id":null,"title":"The CSDMS Standard Names:Cross-Domain Naming Conventions forDescribing Process Models, Data Sets andTheir Associated Variables","year":2014,"url":"https://csdms.colorado.edu/mediawiki/images/Peckham_2014_iEMSs.pdf","authors":"S.D. Peckham (Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.))","journal":"Proceedings of the 7th International Congress on Environmental Modelling and Software, San Diego, California, USA","doi":null,"created_at":"2021-09-30T08:28:23.167Z","updated_at":"2021-09-30T08:28:23.167Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License 1.2","licence_id":354,"licence_url":"https://www.gnu.org/licenses/old-licenses/fdl-1.2.en.html","link_id":1180,"relation":"undefined"}],"grants":[{"id":6318,"fairsharing_record_id":866,"organisation_id":570,"relation":"maintains","created_at":"2021-09-30T09:27:56.310Z","updated_at":"2021-09-30T09:27:56.310Z","grant_id":null,"is_lead":true,"saved_state":{"id":570,"name":"Community Surface Dynamics Modeling System (CSDMS), University of Colorado, Boulder, CO, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"848","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.702Z","metadata":{"doi":"10.25504/FAIRsharing.9y4cqw","name":"Protein Data Bank Format","status":"ready","contacts":[{"contact_name":"Info","contact_email":"info@wwpdb.org"}],"homepage":"http://www.wwpdb.org/documentation/format33/v3.3.html","identifier":848,"description":"An exchange format for reporting experimentally determined three-dimensional structures of biological macromolecules that serves a global community of researchers, educators, and students. The data contained in the archive include atomic coordinates, bibliographic citations, primary and secondary structure, information, and crystallographic structure factors and NMR experimental data.","abbreviation":"PDB","support_links":[{"url":"ftp://ftp.wwpdb.org/pub/pdb/doc/format_descriptions/Format_v32_letter.pdf","type":"Help documentation"},{"url":"http://www.wwpdb.org/documentation/annotation","type":"Help documentation"}],"year_creation":1996},"legacy_ids":["bsg-000255","bsg-s000255"],"name":"FAIRsharing record for: Protein Data Bank Format","abbreviation":"PDB","url":"https://fairsharing.org/10.25504/FAIRsharing.9y4cqw","doi":"10.25504/FAIRsharing.9y4cqw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An exchange format for reporting experimentally determined three-dimensional structures of biological macromolecules that serves a global community of researchers, educators, and students. The data contained in the archive include atomic coordinates, bibliographic citations, primary and secondary structure, information, and crystallographic structure factors and NMR experimental data.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18239},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11994}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Atomic coordinate","Nuclear Magnetic Resonance (NMR) spectroscopy","X-ray crystallography assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":258,"pubmed_id":14634627,"title":"Announcing the worldwide Protein Data Bank.","year":2003,"url":"http://doi.org/10.1038/nsb1203-980","authors":"Berman H., Henrick K., Nakamura H.,","journal":"Nat. Struct. Biol.","doi":"10.1038/nsb1203-980","created_at":"2021-09-30T08:22:47.891Z","updated_at":"2021-09-30T08:22:47.891Z"}],"licence_links":[],"grants":[{"id":6266,"fairsharing_record_id":848,"organisation_id":3263,"relation":"maintains","created_at":"2021-09-30T09:27:54.585Z","updated_at":"2021-09-30T09:27:54.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"849","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T10:29:36.939Z","metadata":{"doi":"10.25504/FAIRsharing.k893xa","name":"MHC Restriction Ontology","status":"ready","contacts":[{"contact_name":"Bjoern Peters","contact_email":"bpeters@liai.org"}],"homepage":"https://github.com/IEDB/MRO","citations":[{"doi":"10.1186/s13326-016-0045-5","pubmed_id":26759709,"publication_id":668}],"identifier":849,"description":"MHC molecules form a highly diverse family of proteins that play a key role in cellular immune recognition. No consistent nomenclature exists across different vertebrate species. To correctly represent MHC related data in The Immune Epitope Database (IEDB), we built upon a previously established MHC ontology (MaHCO) and created MRO to represent MHC molecules as they relate to immunological experiments. MRO models MHC protein chains from 16 species, deals with different approaches used to identify MHC, such as direct sequencing verses serotyping, relates engineered MHC molecules to naturally occurring ones, connects genetic loci, alleles, protein chains and multichain proteins, and establishes evidence codes for MHC restriction.","abbreviation":"MRO","support_links":[{"url":"https://github.com/IEDB/MRO/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"http://www.obofoundry.org/ontology/mro.html","name":"mro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000774","bsg-s000774"],"name":"FAIRsharing record for: MHC Restriction Ontology","abbreviation":"MRO","url":"https://fairsharing.org/10.25504/FAIRsharing.k893xa","doi":"10.25504/FAIRsharing.k893xa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MHC molecules form a highly diverse family of proteins that play a key role in cellular immune recognition. No consistent nomenclature exists across different vertebrate species. To correctly represent MHC related data in The Immune Epitope Database (IEDB), we built upon a previously established MHC ontology (MaHCO) and created MRO to represent MHC molecules as they relate to immunological experiments. MRO models MHC protein chains from 16 species, deals with different approaches used to identify MHC, such as direct sequencing verses serotyping, relates engineered MHC molecules to naturally occurring ones, connects genetic loci, alleles, protein chains and multichain proteins, and establishes evidence codes for MHC restriction.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunology"],"domains":["Major histocompatibility complex","Immune system"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":668,"pubmed_id":26759709,"title":"An ontology for major histocompatibility restriction.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0045-5","authors":"Vita R,Overton JA,Seymour E,Sidney J,Kaufman J,Tallmadge RL,Ellis S,Hammond J,Butcher GW,Sette A,Peters B","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0045-5","created_at":"2021-09-30T08:23:33.727Z","updated_at":"2021-09-30T08:23:33.727Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":670,"relation":"undefined"}],"grants":[{"id":6270,"fairsharing_record_id":849,"organisation_id":1681,"relation":"maintains","created_at":"2021-09-30T09:27:54.700Z","updated_at":"2021-09-30T09:27:54.700Z","grant_id":null,"is_lead":true,"saved_state":{"id":1681,"name":"La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6268,"fairsharing_record_id":849,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:27:54.645Z","updated_at":"2021-09-30T09:27:54.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6269,"fairsharing_record_id":849,"organisation_id":614,"relation":"maintains","created_at":"2021-09-30T09:27:54.669Z","updated_at":"2021-09-30T09:27:54.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":614,"name":"Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6271,"fairsharing_record_id":849,"organisation_id":2819,"relation":"maintains","created_at":"2021-09-30T09:27:54.738Z","updated_at":"2021-09-30T09:27:54.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":2819,"name":"The Pirbright Institute, Woking, UK","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":9138,"fairsharing_record_id":849,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.006Z","updated_at":"2022-04-11T12:07:17.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"850","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T12:04:48.000Z","updated_at":"2022-07-20T12:28:12.169Z","metadata":{"doi":"10.25504/FAIRsharing.f494ee","name":"Internationalization Tag Set","status":"ready","contacts":[{"contact_name":"Felix Sasaki","contact_email":"felix@sasakiatcf.com"}],"homepage":"http://www.w3.org/TR/2007/REC-its-20070403/","identifier":850,"description":"ITS is designed to be used with schemas to support the internationalization and localization of schemas and documents. An implementation is provided for three schema languages: XML DTD, XML Schema and RELAX NG.","abbreviation":"ITS","support_links":[{"url":"https://www.w3.org/International/its/itstagset/its-errata.html","name":"Errata","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001247","bsg-s001247"],"name":"FAIRsharing record for: Internationalization Tag Set","abbreviation":"ITS","url":"https://fairsharing.org/10.25504/FAIRsharing.f494ee","doi":"10.25504/FAIRsharing.f494ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ITS is designed to be used with schemas to support the internationalization and localization of schemas and documents. An implementation is provided for three schema languages: XML DTD, XML Schema and RELAX NG.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":432,"relation":"undefined"}],"grants":[{"id":6272,"fairsharing_record_id":850,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:54.771Z","updated_at":"2021-09-30T09:27:54.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"851","type":"fairsharing_records","attributes":{"created_at":"2017-08-16T14:48:05.000Z","updated_at":"2022-11-30T07:48:31.043Z","metadata":{"doi":"10.25504/FAIRsharing.znmpch","name":"Project Tycho 2.0 pre-compiled dataset format","status":"ready","contacts":[{"contact_name":"Wilbert van Panhuis","contact_email":"wilbert.van.panhuis@pitt.edu","contact_orcid":"0000-0002-7278-9982"}],"homepage":"https://www.tycho.pitt.edu/dataformat/ProjectTychoPreCompiledDataFormat.pdf","citations":[],"identifier":851,"description":"The Project Tycho pre-compiled Data Format specifies the variables used and file format of pre-compiled datasets released by Project Tycho version 2.0. Project Tycho 2.0 pre-compiled datasets include counts of cases for conditions (i.e. disorders) in populations reported by health agencies. These counts can be specified for different geographical regions, for different time intervals, for various age ranges and/or subpopulations, and can represent fatalities (deaths) or not. Each datafile includes these, and other, attributes of counts.","abbreviation":null,"support_links":[{"url":"https://www.tycho.pitt.edu/#contact","name":"Project Tycho Contact Form","type":"Contact form"}],"year_creation":2018},"legacy_ids":["bsg-000718","bsg-s000718"],"name":"FAIRsharing record for: Project Tycho 2.0 pre-compiled dataset format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.znmpch","doi":"10.25504/FAIRsharing.znmpch","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Project Tycho pre-compiled Data Format specifies the variables used and file format of pre-compiled datasets released by Project Tycho version 2.0. Project Tycho 2.0 pre-compiled datasets include counts of cases for conditions (i.e. disorders) in populations reported by health agencies. These counts can be specified for different geographical regions, for different time intervals, for various age ranges and/or subpopulations, and can represent fatalities (deaths) or not. Each datafile includes these, and other, attributes of counts.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12444}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Bacteria","Eukaryota","Homo sapiens","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":439,"relation":"undefined"},{"licence_name":"Project Tycho CC BY 4.0 License Document","licence_id":684,"licence_url":"https://www.tycho.pitt.edu/license/","link_id":438,"relation":"undefined"}],"grants":[{"id":6274,"fairsharing_record_id":851,"organisation_id":708,"relation":"maintains","created_at":"2021-09-30T09:27:54.828Z","updated_at":"2021-09-30T09:27:54.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":708,"name":"Department of Epidemiology, University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6275,"fairsharing_record_id":851,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:54.861Z","updated_at":"2021-09-30T09:28:56.168Z","grant_id":22,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"5U54GM088491-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6273,"fairsharing_record_id":851,"organisation_id":2382,"relation":"maintains","created_at":"2021-09-30T09:27:54.804Z","updated_at":"2021-09-30T09:27:54.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":2382,"name":"Public Health Dynamics Laboratory, University of Pittsburgh, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6276,"fairsharing_record_id":851,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:54.885Z","updated_at":"2021-09-30T09:27:54.885Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6279,"fairsharing_record_id":851,"organisation_id":2370,"relation":"maintains","created_at":"2021-09-30T09:27:54.961Z","updated_at":"2021-09-30T09:27:54.961Z","grant_id":null,"is_lead":false,"saved_state":{"id":2370,"name":"Project Tycho","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6280,"fairsharing_record_id":851,"organisation_id":3115,"relation":"maintains","created_at":"2021-09-30T09:27:54.986Z","updated_at":"2021-09-30T09:27:54.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6277,"fairsharing_record_id":851,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:27:54.912Z","updated_at":"2021-09-30T09:30:41.007Z","grant_id":820,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"49276","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6278,"fairsharing_record_id":851,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:27:54.936Z","updated_at":"2021-09-30T09:32:41.273Z","grant_id":1733,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"5K01ES026836-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ3dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--382d74087fd341748b0f971eac000b6e9e8bced4/tycho.png?disposition=inline","exhaustive_licences":false}},{"id":"827","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:11:42.203Z","metadata":{"doi":"10.25504/FAIRsharing.xvf5y3","name":"Darwin Core","status":"ready","contacts":[{"contact_name":"John Wieczorek","contact_email":"tuco@berkeley.edu"}],"homepage":"http://www.tdwg.org/standards/450","citations":[{"doi":"10.1371/journal.pone.0029715","pubmed_id":22238640,"publication_id":1522}],"identifier":827,"description":"Darwin Core (DwC) is a vocabulary that includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by providing identifiers, labels, and definitions. The Darwin Core is primarily based on the observation, specimen and samples of taxa. The Darwin Core standard is comprised of one vocabulary (the Darwin Core vocabulary), and six associated documents. The vocabulary itself is composed of four term lists: Darwin Core terms borrowed from the Dublin Core legacy and terms namespace, Darwin Core IRI-value Term Analogs, and the core terms defined by Darwin Core.","abbreviation":"DwC","support_links":[{"url":"https://github.com/tdwg/dwc-qa","name":"Questions and Answers","type":"Github"},{"url":"https://github.com/tdwg/dwc/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://dwc.tdwg.org/terms/","name":"Quick Reference Guide","type":"Help documentation"},{"url":"https://github.com/tdwg/dwc","name":"GitHub Repository","type":"Github"}],"year_creation":2009},"legacy_ids":["bsg-000195","bsg-s000195"],"name":"FAIRsharing record for: Darwin Core","abbreviation":"DwC","url":"https://fairsharing.org/10.25504/FAIRsharing.xvf5y3","doi":"10.25504/FAIRsharing.xvf5y3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Darwin Core (DwC) is a vocabulary that includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by providing identifiers, labels, and definitions. The Darwin Core is primarily based on the observation, specimen and samples of taxa. The Darwin Core standard is comprised of one vocabulary (the Darwin Core vocabulary), and six associated documents. The vocabulary itself is composed of four term lists: Darwin Core terms borrowed from the Dublin Core legacy and terms namespace, Darwin Core IRI-value Term Analogs, and the core terms defined by Darwin Core.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11865},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12278},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13905}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Biological sample annotation","Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1522,"pubmed_id":22238640,"title":"Darwin Core: an evolving community-developed biodiversity data standard.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0029715","authors":"Wieczorek J,Bloom D,Guralnick R,Blum S,Doring M,Giovanni R,Robertson T,Vieglais D","journal":"PLoS One","doi":"10.1371/journal.pone.0029715","created_at":"2021-09-30T08:25:10.418Z","updated_at":"2021-09-30T08:25:10.418Z"},{"id":1995,"pubmed_id":24723785,"title":"Linking multiple biodiversity informatics platforms with Darwin Core Archives.","year":2014,"url":"http://doi.org/10.3897/BDJ.2.e1039","authors":"Baker E,Rycroft S,Smith VS","journal":"Biodivers Data J","doi":"10.3897/BDJ.2.e1039","created_at":"2021-09-30T08:26:04.575Z","updated_at":"2021-09-30T08:26:04.575Z"},{"id":3080,"pubmed_id":25099149,"title":"The GBIF integrated publishing toolkit: facilitating the efficient publishing of biodiversity data on the internet.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0102623","authors":"Robertson T,Doring M,Guralnick R,Bloom D,Wieczorek J,Braak K,Otegui J,Russell L,Desmet P","journal":"PLoS One","doi":"10.1371/journal.pone.0102623","created_at":"2021-09-30T08:28:19.468Z","updated_at":"2021-09-30T08:28:19.468Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":1041,"relation":"undefined"}],"grants":[{"id":7995,"fairsharing_record_id":827,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:18.001Z","updated_at":"2021-09-30T09:30:18.051Z","grant_id":644,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF-9808739","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8076,"fairsharing_record_id":827,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:48.171Z","updated_at":"2021-09-30T09:30:48.222Z","grant_id":878,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0345448","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6226,"fairsharing_record_id":827,"organisation_id":641,"relation":"maintains","created_at":"2021-09-30T09:27:53.277Z","updated_at":"2021-09-30T09:27:53.277Z","grant_id":null,"is_lead":true,"saved_state":{"id":641,"name":"Darwin Core Maintenance Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6224,"fairsharing_record_id":827,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:53.219Z","updated_at":"2021-09-30T09:30:14.921Z","grant_id":620,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0108161","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"828","type":"fairsharing_records","attributes":{"created_at":"2016-09-13T08:23:19.000Z","updated_at":"2022-12-27T17:27:36.576Z","metadata":{"doi":"10.25504/FAIRsharing.ae5rv","name":"Semantic reference model for making rare disease resources linkable","status":"in_development","contacts":[{"contact_name":"Marco Roos","contact_email":"m.roos@lumc.nl","contact_orcid":"0000-0002-8691-772X"}],"homepage":"https://github.com/LUMC-BioSemantics/Rare-Disease-Semantic-Model","citations":[],"identifier":828,"description":"A subset of ontology classes and properties for connecting rare disease data in the context of creating FAIR rare disease data 'at the source'. The aim is to facilitate data annotation at the source in order to enable questions and analysis across rare disease resources (e.g. biobanks, registries, molecular data). I.e. the model is not meant as a new conceptualization. Ontology files: 1. rdc-core: the minimal set of classes and properties to map to the data in the sources of the platform. RD core represents little more that the lowest level types for the identifiers of the sources of the Rare Disease Connect platform. 2. rdc-meta: the minimal semantic model, defined as much as possible using existing ontologies (OBIB, etc.). 3. rdc-meta-extended: this model includes the subclasses and properties of the entities that were imported from source ontologies, i.e. when you use the ‘move’ function of protege, rather than just copy the URI. 4. rdc-thesaurus: mappings to ‘concepts’. A SKOS-based thesaurus represents a ‘light-weight’ ontology. This allows us to define in simple terms the relations between similar or equal terms in different terminologies. 5. rdc-mapping: mapping between models, for instance between the SKOS concepts and RD-core and RD-meta. 6. rdc-example-instances: example instances (‘individuals’) to show the model at instance level. The instances, especially the IDs relate to actual data in data sources. Their datatype properties link to data.","abbreviation":null,"support_links":[{"url":"rare-disease-community@elixir-europe.org","type":"Mailing list"}],"year_creation":2016,"associated_tools":[]},"legacy_ids":["bsg-000676","bsg-s000676"],"name":"FAIRsharing record for: Semantic reference model for making rare disease resources linkable","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ae5rv","doi":"10.25504/FAIRsharing.ae5rv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A subset of ontology classes and properties for connecting rare disease data in the context of creating FAIR rare disease data 'at the source'. The aim is to facilitate data annotation at the source in order to enable questions and analysis across rare disease resources (e.g. biobanks, registries, molecular data). I.e. the model is not meant as a new conceptualization. Ontology files: 1. rdc-core: the minimal set of classes and properties to map to the data in the sources of the platform. RD core represents little more that the lowest level types for the identifiers of the sources of the Rare Disease Connect platform. 2. rdc-meta: the minimal semantic model, defined as much as possible using existing ontologies (OBIB, etc.). 3. rdc-meta-extended: this model includes the subclasses and properties of the entities that were imported from source ontologies, i.e. when you use the ‘move’ function of protege, rather than just copy the URI. 4. rdc-thesaurus: mappings to ‘concepts’. A SKOS-based thesaurus represents a ‘light-weight’ ontology. This allows us to define in simple terms the relations between similar or equal terms in different terminologies. 5. rdc-mapping: mapping between models, for instance between the SKOS concepts and RD-core and RD-meta. 6. rdc-example-instances: example instances (‘individuals’) to show the model at instance level. The instances, especially the IDs relate to actual data in data sources. Their datatype properties link to data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Rare disease","Disease","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":6228,"fairsharing_record_id":828,"organisation_id":799,"relation":"undefined","created_at":"2021-09-30T09:27:53.358Z","updated_at":"2021-09-30T09:27:53.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"undefined"}},{"id":6231,"fairsharing_record_id":828,"organisation_id":1705,"relation":"undefined","created_at":"2021-09-30T09:27:53.525Z","updated_at":"2021-09-30T09:27:53.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":6229,"fairsharing_record_id":828,"organisation_id":2406,"relation":"undefined","created_at":"2021-09-30T09:27:53.396Z","updated_at":"2021-09-30T09:27:53.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2406,"name":"RD-Connect","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":6230,"fairsharing_record_id":828,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:27:53.484Z","updated_at":"2021-09-30T09:27:53.484Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6227,"fairsharing_record_id":828,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:53.314Z","updated_at":"2021-09-30T09:29:30.489Z","grant_id":276,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8013,"fairsharing_record_id":828,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:30:23.403Z","updated_at":"2021-09-30T09:30:23.447Z","grant_id":690,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7-HEALTH 305444","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"829","type":"fairsharing_records","attributes":{"created_at":"2018-10-19T22:07:18.000Z","updated_at":"2022-02-08T10:50:51.072Z","metadata":{"doi":"10.25504/FAIRsharing.22bb25","name":"Generic Statistical Information Model Specification","status":"ready","contacts":[],"homepage":"https://statswiki.unece.org/display/gsim/GSIM+Specification","citations":[],"identifier":829,"description":"The GSIM Specification provides a set of standardized, consistently described information objects, which are the inputs and outputs in the design and production of statistics. Each information object is been defined and its attributes and relationships are specified.","abbreviation":"GSIM Specification","support_links":[{"url":"https://statswiki.unece.org/display/gsim/GSIM+documentation","name":"Documentation","type":"Help documentation"}]},"legacy_ids":["bsg-001330","bsg-s001330"],"name":"FAIRsharing record for: Generic Statistical Information Model Specification","abbreviation":"GSIM Specification","url":"https://fairsharing.org/10.25504/FAIRsharing.22bb25","doi":"10.25504/FAIRsharing.22bb25","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GSIM Specification provides a set of standardized, consistently described information objects, which are the inputs and outputs in the design and production of statistics. Each information object is been defined and its attributes and relationships are specified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Statistics"],"domains":["Resource metadata","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Statistics on classification schemes"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Atlassian Confluence Community License","licence_id":49,"licence_url":"https://www.atlassian.com/software/views/community-license-request","link_id":1118,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1117,"relation":"undefined"}],"grants":[{"id":6232,"fairsharing_record_id":829,"organisation_id":2924,"relation":"maintains","created_at":"2021-09-30T09:27:53.567Z","updated_at":"2021-09-30T09:27:53.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2924,"name":"United Nations Economic Commissions Europe","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"830","type":"fairsharing_records","attributes":{"created_at":"2019-10-11T14:31:51.000Z","updated_at":"2023-11-03T08:50:21.703Z","metadata":{"doi":"10.25504/FAIRsharing.8hDgMC","name":"ECRIN Clinical Research Metadata Schema","status":"ready","contacts":[{"contact_name":"Christian Ohmann","contact_email":"christian.ohmann@med.uni-duesseldorf.de","contact_orcid":"0000-0002-5919-1003"},{"contact_name":"Steve Canham","contact_email":"stevecanham@outlook.com","contact_orcid":null}],"homepage":"https://doi.org/10.5281/zenodo.8368709","citations":[],"identifier":830,"description":"The schema is designed to support the discoverability of data objects generated by clinical research and is an extension of the DataCite schema. It also summarises a relational database structure that could be used to store the metadata within a central repository of such data.","abbreviation":"ECRIN MDR schema","support_links":[{"url":"https://ecrin.org","name":"ECRIN","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001393","bsg-s001393"],"name":"FAIRsharing record for: ECRIN Clinical Research Metadata Schema","abbreviation":"ECRIN MDR schema","url":"https://fairsharing.org/10.25504/FAIRsharing.8hDgMC","doi":"10.25504/FAIRsharing.8hDgMC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The schema is designed to support the discoverability of data objects generated by clinical research and is an extension of the DataCite schema. It also summarises a relational database structure that could be used to store the metadata within a central repository of such data.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17332},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18281},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12550},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13322},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13572}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Clinical Studies","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","Germany","United Kingdom"],"publications":[{"id":3178,"pubmed_id":null,"title":"A metadata schema for data objects in clinical research","year":2016,"url":"http://dx.doi.org/10.1186/s13063-016-1686-5","authors":"Canham, Steve; Ohmann, Christian; ","journal":"Trials","doi":"10.1186/s13063-016-1686-5","created_at":"2022-01-06T16:30:03.053Z","updated_at":"2022-01-06T16:30:03.053Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":933,"relation":"undefined"}],"grants":[{"id":9057,"fairsharing_record_id":830,"organisation_id":911,"relation":"maintains","created_at":"2022-03-29T09:49:52.096Z","updated_at":"2022-03-29T09:49:52.096Z","grant_id":null,"is_lead":true,"saved_state":{"id":911,"name":"European Clinical Research Infrastructure Network (ECRIN)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"867","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2024-01-12T13:08:23.852Z","metadata":{"doi":"10.25504/FAIRsharing.9c1p18","name":"Dictyostelium Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Petra Fey","contact_email":"pfey@northwestern.edu","contact_orcid":"0000-0002-4532-2703"}],"homepage":"https://github.com/dictyBase/migration-data/blob/master/ontologies/dicty_phenotypes.obo","citations":[],"identifier":867,"description":"A structured controlled vocabulary of phenotypes of the social amoeba Dictyostelium discoideum. The Dicty Phenotype Ontology is a hierarchical controlled vocabulary used for annotating strains with phenotypes. Terms from the Dicty Phenotype Ontology are required when annotating phenotypes within dictyBase. The phenotype ontology consists of two composite terms: (1) the anatomical part or the biological process changed in the mutant, and (2) a quality describing that modification. For example, a ‘delayed aggregation’ phenotype qualifies the ‘aggregation’ (biological process) as being ‘delayed’, or the ‘decreased spore size’ qualifies the ‘spore’ to be of ‘decreased size’.","abbreviation":"DDPHENO","support_links":[{"url":"http://dictybase.org/db/cgi-bin/dictyBase/suggestion","name":"Suggestion and Contact Form","type":"Contact form"},{"url":"dictybase@northwestern.edu","name":"dictyBase Helpdesk","type":"Support email"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDPHENO","name":"DDPHENO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ddpheno.html","name":"ddpheno","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000936","bsg-s000936"],"name":"FAIRsharing record for: Dictyostelium Phenotype Ontology","abbreviation":"DDPHENO","url":"https://fairsharing.org/10.25504/FAIRsharing.9c1p18","doi":"10.25504/FAIRsharing.9c1p18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of phenotypes of the social amoeba Dictyostelium discoideum. The Dicty Phenotype Ontology is a hierarchical controlled vocabulary used for annotating strains with phenotypes. Terms from the Dicty Phenotype Ontology are required when annotating phenotypes within dictyBase. The phenotype ontology consists of two composite terms: (1) the anatomical part or the biological process changed in the mutant, and (2) a quality describing that modification. For example, a ‘delayed aggregation’ phenotype qualifies the ‘aggregation’ (biological process) as being ‘delayed’, or the ‘decreased spore size’ qualifies the ‘spore’ to be of ‘decreased size’.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["Dictyostelium discoideum","Dictyostelium fasciculatum","Dictyostelium purpureum","Polysphondylium pallidum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2107,"pubmed_id":23494302,"title":"One stop shop for everything Dictyostelium: dictyBase and the Dicty Stock Center in 2012.","year":2013,"url":"http://doi.org/10.1007/978-1-62703-302-2_4","authors":"Fey P,Dodson RJ,Basu S,Chisholm RL","journal":"Methods Mol Biol","doi":"10.1007/978-1-62703-302-2_4","created_at":"2021-09-30T08:26:17.466Z","updated_at":"2021-09-30T08:26:17.466Z"}],"licence_links":[],"grants":[{"id":6320,"fairsharing_record_id":867,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:27:56.436Z","updated_at":"2021-09-30T09:27:56.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6319,"fairsharing_record_id":867,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:56.348Z","updated_at":"2021-09-30T09:29:46.093Z","grant_id":393,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM64426","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"868","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:01.382Z","metadata":{"doi":"10.25504/FAIRsharing.8xecy7","name":"FuGEFlow","status":"uncertain","contacts":[{"contact_name":"Ryan R Brinkman","contact_email":"rbrinkman@bccrc.ca"}],"homepage":"http://flowcyt.sourceforge.net/fugeflow/","identifier":868,"description":"FuGEFlow represents a collaborative effort to develop of flow cytometry experimental workflow description based on the FuGE model. The Functional Genomics Experiment data model (FuGE) describes common aspects of comprehensive, high-throughput experiments. FuGE is an extendable model that provides a basis for creation of new technology-specific data formats, such as FuGEFlow for flow cytometry.","abbreviation":"FuGEFlow","support_links":[{"url":"https://sourceforge.net/p/flowcyt/discussion/","type":"Forum"},{"url":"https://sourceforge.net/p/flowcyt/mailman/","name":"Mailing list","type":"Mailing list"}],"year_creation":2007},"legacy_ids":["bsg-000074","bsg-s000074"],"name":"FAIRsharing record for: FuGEFlow","abbreviation":"FuGEFlow","url":"https://fairsharing.org/10.25504/FAIRsharing.8xecy7","doi":"10.25504/FAIRsharing.8xecy7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FuGEFlow represents a collaborative effort to develop of flow cytometry experimental workflow description based on the FuGE model. The Functional Genomics Experiment data model (FuGE) describes common aspects of comprehensive, high-throughput experiments. FuGE is an extendable model that provides a basis for creation of new technology-specific data formats, such as FuGEFlow for flow cytometry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Cell","Assay","Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":996,"pubmed_id":19531228,"title":"FuGEFlow: data model and markup language for flow cytometry.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-184","authors":"Qian Y,Tchuvatkina O,Spidlen J,Wilkinson P,Gasparetto M,Jones AR,Manion FJ,Scheuermann RH,Sekaly RP,Brinkman RR","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-184","created_at":"2021-09-30T08:24:10.246Z","updated_at":"2021-09-30T08:24:10.246Z"}],"licence_links":[],"grants":[{"id":6323,"fairsharing_record_id":868,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:56.557Z","updated_at":"2021-09-30T09:30:16.593Z","grant_id":632,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"EB005034","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6322,"fairsharing_record_id":868,"organisation_id":2778,"relation":"maintains","created_at":"2021-09-30T09:27:56.519Z","updated_at":"2021-09-30T09:27:56.519Z","grant_id":null,"is_lead":false,"saved_state":{"id":2778,"name":"The Flow Informatics and Computational Cytometry Society (FICCS)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6321,"fairsharing_record_id":868,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:56.478Z","updated_at":"2021-09-30T09:32:51.371Z","grant_id":1807,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"AI40076","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"869","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:38:34.704Z","metadata":{"doi":"10.25504/FAIRsharing.ax1gd5","name":"Outbreak Reports and Intervention studies Of Nosocomial infection","status":"deprecated","contacts":[{"contact_email":"info@idrn.org"}],"homepage":"http://www.idrn.org/orion.php","citations":[],"identifier":869,"description":"In order to raise the standards of research and publication, a CONSORT equivalent for these largely quasi-experimental studies has been prepared by the authors of two relevant systematic reviews undertaken for the HTA and the Cochrane Collaboration. The statement was revised following widespread consultation with learned societies, editors of journals and researchers. It consists of a 22 item checklist, and a summary table. Like CONSORT, ORION considers itself a work in progress, which requires ongoing dialogue for successful promotion and dissemination.","abbreviation":"ORION","support_links":[{"url":"http://www.idrn.org/contact_us/","type":"Contact form"},{"url":"http://www.idrn.org/documents/events/workshops/ORION%20statement.doc","type":"Help documentation"},{"url":"http://www.idrn.org/documents/events/workshops/Checklist.doc","type":"Help documentation"}],"year_creation":2007,"deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000103","bsg-s000103"],"name":"FAIRsharing record for: Outbreak Reports and Intervention studies Of Nosocomial infection","abbreviation":"ORION","url":"https://fairsharing.org/10.25504/FAIRsharing.ax1gd5","doi":"10.25504/FAIRsharing.ax1gd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In order to raise the standards of research and publication, a CONSORT equivalent for these largely quasi-experimental studies has been prepared by the authors of two relevant systematic reviews undertaken for the HTA and the Cochrane Collaboration. The statement was revised following widespread consultation with learned societies, editors of journals and researchers. It consists of a 22 item checklist, and a summary table. Like CONSORT, ORION considers itself a work in progress, which requires ongoing dialogue for successful promotion and dissemination.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12099}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Pathogen","Nosocomial infection","Intervention design","Hospital","Infection"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1825,"pubmed_id":17376385,"title":"The ORION statement: guidelines for transparent reporting of outbreak reports and intervention studies of nosocomial infection.","year":2007,"url":"http://doi.org/10.1016/S1473-3099(07)70082-8","authors":"Stone SP,Cooper BS,Kibbler CC,Cookson BD,Roberts JA,Medley GF,Duckworth G,Lai R,Ebrahim S,Brown EM,Wiffen PJ,Davey PG","journal":"Lancet Infect Dis","doi":"10.1016/S1473-3099(07)70082-8","created_at":"2021-09-30T08:25:44.988Z","updated_at":"2021-09-30T08:25:44.988Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"833","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:24.183Z","metadata":{"doi":"10.25504/FAIRsharing.rg2vmt","name":"GenBank Sequence Format","status":"ready","contacts":[{"contact_name":"NCBI Helpdesk","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/Sitemap/samplerecord.html","identifier":833,"description":"GenBank Sequence Format (GenBank Flat File Format) consists of an annotation section and a sequence section. The start of the annotation section is marked by a line beginning with the word \"LOCUS\". The start of sequence section is marked by a line beginning with the word \"ORIGIN\" and the end of the section is marked by a line with only \"//\".","abbreviation":null,"year_creation":2006,"associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/blast","name":"BLAST"}]},"legacy_ids":["bsg-000232","bsg-s000232"],"name":"FAIRsharing record for: GenBank Sequence Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.rg2vmt","doi":"10.25504/FAIRsharing.rg2vmt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenBank Sequence Format (GenBank Flat File Format) consists of an annotation section and a sequence section. The start of the annotation section is marked by a line beginning with the word \"LOCUS\". The start of sequence section is marked by a line beginning with the word \"ORIGIN\" and the end of the section is marked by a line with only \"//\".","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12427}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Genetics","Data Management"],"domains":["DNA sequence data","RNA sequence","Deoxyribonucleic acid","Ribosomal RNA","Ribonucleic acid","Nucleotide","Messenger RNA","Transfer RNA","Sequence tag"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":612,"relation":"undefined"}],"grants":[{"id":6238,"fairsharing_record_id":833,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:53.735Z","updated_at":"2021-09-30T09:27:53.735Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6239,"fairsharing_record_id":833,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:53.761Z","updated_at":"2021-09-30T09:27:53.761Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":6241,"fairsharing_record_id":833,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:53.824Z","updated_at":"2021-09-30T09:27:53.824Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9233,"fairsharing_record_id":833,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.171Z","updated_at":"2022-04-11T12:07:24.171Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"834","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2021-11-24T13:18:41.446Z","metadata":{"doi":"10.25504/FAIRsharing.av8nfd","name":"Open Food Safety Model Ontology","status":"ready","contacts":[{"contact_name":"Salvador","contact_email":"scuberog@hotmail.com"}],"homepage":"https://sites.google.com/site/openfsmr/","identifier":834,"description":"This is the food-matrix ontology for the Open Food Safety Model Repository. Transferring predictive microbial models from research into real world food manufacturing or risk assessment applications is still a challenge for members of the food safety modelling community. This ontology supports the repository where existing predictive models previously published in the scientific literature were re-implemented using Predictive Modelling in Food Markup Language (PMF-ML), which is based on SBML.","abbreviation":"OFSMR","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OFSMR","name":"OFSMR","portal":"BioPortal"}]},"legacy_ids":["bsg-000730","bsg-s000730"],"name":"FAIRsharing record for: Open Food Safety Model Ontology","abbreviation":"OFSMR","url":"https://fairsharing.org/10.25504/FAIRsharing.av8nfd","doi":"10.25504/FAIRsharing.av8nfd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is the food-matrix ontology for the Open Food Safety Model Repository. Transferring predictive microbial models from research into real world food manufacturing or risk assessment applications is still a challenge for members of the food safety modelling community. This ontology supports the repository where existing predictive models previously published in the scientific literature were re-implemented using Predictive Modelling in Food Markup Language (PMF-ML), which is based on SBML.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Systems Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1950,"pubmed_id":null,"title":"Towards Community Driven Food Safety Model Repositories","year":2016,"url":"http://doi.org/10.1016/j.profoo.2016.02.098","authors":"Matthias Filter, Carolina Plaza-Rodriguez, Christian Thoens, Annemarie Kaesbohrer, Bernd Appel","journal":"Procedia Food Science","doi":"10.1016/j.profoo.2016.02.098","created_at":"2021-09-30T08:25:59.448Z","updated_at":"2021-09-30T08:25:59.448Z"}],"licence_links":[],"grants":[{"id":6242,"fairsharing_record_id":834,"organisation_id":1002,"relation":"maintains","created_at":"2021-09-30T09:27:53.900Z","updated_at":"2021-09-30T09:27:53.900Z","grant_id":null,"is_lead":false,"saved_state":{"id":1002,"name":"Federal Institute for Risk Assessment, Berlin, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"835","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:09:39.000Z","updated_at":"2023-06-05T06:24:06.778Z","metadata":{"doi":"10.25504/FAIRsharing.tc2jbF","name":"Optics terminology resource","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/FMC/en/","citations":[],"identifier":835,"description":"Terminology resource used for indexing bibliographical records dealing with “Optics” in the PASCAL database, until 2014. It consists of 3177 entries in 4 languages (English, French, Spanish and German).","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001410","bsg-s001410"],"name":"FAIRsharing record for: Optics terminology resource","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tc2jbF","doi":"10.25504/FAIRsharing.tc2jbF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology resource used for indexing bibliographical records dealing with “Optics” in the PASCAL database, until 2014. It consists of 3177 entries in 4 languages (English, French, Spanish and German).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11296}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Atomic, Molecular, Optical and Plasma Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Optics"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":174,"relation":"undefined"}],"grants":[{"id":6243,"fairsharing_record_id":835,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:53.941Z","updated_at":"2021-09-30T09:27:53.941Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"836","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:23.803Z","metadata":{"doi":"10.25504/FAIRsharing.xjj977","name":"Influenza Ontology","status":"deprecated","contacts":[{"contact_name":"Burke Squires","contact_email":"burkesquires@gmail.com","contact_orcid":"0000-0001-9666-6285"}],"homepage":"http://influenzaontologywiki.igs.umaryland.edu/mediawiki/index.php/Main_Page","identifier":836,"description":"The influenza ontology is an application ontology. Consolidated influenza sequence and surveillance terms from resources such as the BioHealthBase (BHB), a Bioinformatics Resource Center (BRC) for Biodefense and Emerging and Re-emerging Infectious Diseases, the Centers for Excellence in Influenza Research and Surveillance (CEIRS).","abbreviation":"FLU","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FLU","name":"FLU","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/flu.html","name":"flu","portal":"OBO Foundry"}],"deprecation_date":"2020-03-30","deprecation_reason":"This resource has been marked as deprecated by the OBO Foundry, and its homepage was last updated in 2010."},"legacy_ids":["bsg-000094","bsg-s000094"],"name":"FAIRsharing record for: Influenza Ontology","abbreviation":"FLU","url":"https://fairsharing.org/10.25504/FAIRsharing.xjj977","doi":"10.25504/FAIRsharing.xjj977","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The influenza ontology is an application ontology. Consolidated influenza sequence and surveillance terms from resources such as the BioHealthBase (BHB), a Bioinformatics Resource Center (BRC) for Biodefense and Emerging and Re-emerging Infectious Diseases, the Centers for Excellence in Influenza Research and Surveillance (CEIRS).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Virology","Biomedical Science"],"domains":["Disease"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6246,"fairsharing_record_id":836,"organisation_id":1341,"relation":"maintains","created_at":"2021-09-30T09:27:54.056Z","updated_at":"2021-09-30T09:27:54.056Z","grant_id":null,"is_lead":false,"saved_state":{"id":1341,"name":"Influenzer Ontology Administrator","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6244,"fairsharing_record_id":836,"organisation_id":2009,"relation":"maintains","created_at":"2021-09-30T09:27:53.979Z","updated_at":"2021-09-30T09:27:53.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6245,"fairsharing_record_id":836,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:27:54.016Z","updated_at":"2021-09-30T09:27:54.016Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"837","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T12:52:39.000Z","updated_at":"2022-11-22T21:04:58.228Z","metadata":{"doi":"10.25504/FAIRsharing.nknzhj","name":"Compact Identifier Format","status":"ready","contacts":[],"homepage":"https://force11.org/post/introducing-a-new-standard-for-the-citation-of-research-data/","citations":[],"identifier":837,"description":"Compact Identifiers consist of a unique prefix indicating the assigning authority and a locally assigned accession number (prefix:accession). This provides a mechanism for uniquely identifying locally assigned identifiers globally. The Identifiers.org (https://identifiers.org) and N2T.net (https://n2t.net/) resolvers provide stable resolution of Compact Identifiers by sharing a common namespace prefix registry.","abbreviation":null,"support_links":[{"url":"https://www.ebi.ac.uk/support/identifiers.org","name":"Sarala Wimalaratne","type":"Contact form"}],"year_creation":2016,"associated_tools":[{"url":"https://n2t.net/","name":"N2T.net"}]},"legacy_ids":["bsg-001091","bsg-s001091"],"name":"FAIRsharing record for: Compact Identifier Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nknzhj","doi":"10.25504/FAIRsharing.nknzhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Compact Identifiers consist of a unique prefix indicating the assigning authority and a locally assigned accession number (prefix:accession). This provides a mechanism for uniquely identifying locally assigned identifiers globally. The Identifiers.org (https://identifiers.org) and N2T.net (https://n2t.net/) resolvers provide stable resolution of Compact Identifiers by sharing a common namespace prefix registry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":2751,"pubmed_id":29737976,"title":"Uniform resolution of compact identifiers for biomedical data.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.29","authors":"Wimalaratne SM,Juty N,Kunze J,Janee G,McMurry JA,Beard N,Jimenez R,Grethe JS,Hermjakob H,Martone ME,Clark T","journal":"Sci Data","doi":"10.1038/sdata.2018.29","created_at":"2021-09-30T08:27:38.148Z","updated_at":"2021-09-30T08:27:38.148Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":450,"relation":"undefined"}],"grants":[{"id":6247,"fairsharing_record_id":837,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:54.087Z","updated_at":"2021-09-30T09:27:54.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6248,"fairsharing_record_id":837,"organisation_id":340,"relation":"maintains","created_at":"2021-09-30T09:27:54.123Z","updated_at":"2021-09-30T09:27:54.123Z","grant_id":null,"is_lead":false,"saved_state":{"id":340,"name":"California Digital Library (CDL), University of California, Oakland, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"838","type":"fairsharing_records","attributes":{"created_at":"2018-03-10T20:13:17.000Z","updated_at":"2022-07-20T10:49:54.373Z","metadata":{"doi":"10.25504/FAIRsharing.7e9cff","name":"Yam Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_343:ROOT","citations":[],"identifier":838,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Yam Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_343","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001137","bsg-s001137"],"name":"FAIRsharing record for: Yam Ontology","abbreviation":"CO_343","url":"https://fairsharing.org/10.25504/FAIRsharing.7e9cff","doi":"10.25504/FAIRsharing.7e9cff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Yam Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Dioscorea alata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1261,"relation":"undefined"}],"grants":[{"id":6249,"fairsharing_record_id":838,"organisation_id":489,"relation":"maintains","created_at":"2021-09-30T09:27:54.154Z","updated_at":"2021-09-30T09:27:54.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":489,"name":"CGIAR Research Program on Roots, Tubers and Bananas","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6250,"fairsharing_record_id":838,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:27:54.178Z","updated_at":"2021-09-30T09:27:54.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"839","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T11:12:41.000Z","updated_at":"2022-07-20T09:07:09.004Z","metadata":{"doi":"10.25504/FAIRsharing.2cfb88","name":"ISLE Meta Data Initiative","status":"ready","contacts":[],"homepage":"https://tla.mpi.nl/imdi-metadata/","citations":[],"identifier":839,"description":"The ISLE Meta Data Initiative (IMDI) is a metadata standard to describe multi-media and multi-modal language resources. The standard provides interoperability for browsable and searchable corpus structures and resource descriptions.","abbreviation":"IMDI","support_links":[{"url":"https://tla.mpi.nl/contact/","name":"contact","type":"Contact form"},{"url":"https://tla.mpi.nl/forums/","name":"Forum","type":"Forum"}],"year_creation":2006,"associated_tools":[{"url":"https://tla.mpi.nl/tools/tla-tools/arbil/","name":"Abril"},{"url":"https://tla.mpi.nl/forums/software/lamus/","name":"LAMUS"}]},"legacy_ids":["bsg-001244","bsg-s001244"],"name":"FAIRsharing record for: ISLE Meta Data Initiative","abbreviation":"IMDI","url":"https://fairsharing.org/10.25504/FAIRsharing.2cfb88","doi":"10.25504/FAIRsharing.2cfb88","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ISLE Meta Data Initiative (IMDI) is a metadata standard to describe multi-media and multi-modal language resources. The standard provides interoperability for browsable and searchable corpus structures and resource descriptions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":6252,"fairsharing_record_id":839,"organisation_id":1789,"relation":"maintains","created_at":"2021-09-30T09:27:54.236Z","updated_at":"2021-09-30T09:27:54.236Z","grant_id":null,"is_lead":false,"saved_state":{"id":1789,"name":"Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6251,"fairsharing_record_id":839,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:27:54.202Z","updated_at":"2021-09-30T09:27:54.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"243","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:52.000Z","updated_at":"2022-07-20T12:47:31.542Z","metadata":{"doi":"10.25504/FAIRsharing.E3Nr1d","name":"FAIR Maturity Indicator Gen2-MI-I2A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I2A.md","identifier":243,"description":"The FAIR Maturity Indicator Gen2-MI-I2A measures if the (meta)data uses vocabularies that are, themselves, FAIR. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. In this loose MI, we test only if the vocabulary terms resolve (e.g. to a human-readable page). We do not test if they resolve to machine-readable information. A second Maturity Indicator (Gen2-FM-I2B) is for that stricter test.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001380","bsg-s001380"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I2A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.E3Nr1d","doi":"10.25504/FAIRsharing.E3Nr1d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I2A measures if the (meta)data uses vocabularies that are, themselves, FAIR. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. In this loose MI, we test only if the vocabulary terms resolve (e.g. to a human-readable page). We do not test if they resolve to machine-readable information. A second Maturity Indicator (Gen2-FM-I2B) is for that stricter test.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13190},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13220},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13250},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13265},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20178}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1491,"relation":"undefined"}],"grants":[{"id":5367,"fairsharing_record_id":243,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:24.841Z","updated_at":"2021-09-30T09:27:24.841Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5365,"fairsharing_record_id":243,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:24.779Z","updated_at":"2021-09-30T09:27:24.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5366,"fairsharing_record_id":243,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:24.807Z","updated_at":"2021-09-30T09:27:24.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5368,"fairsharing_record_id":243,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:24.884Z","updated_at":"2021-09-30T09:27:24.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"244","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.734Z","metadata":{"doi":"10.25504/FAIRsharing.4gm9gt","name":"Mental Functioning Ontology","status":"ready","contacts":[{"contact_name":"Janna Hastings","contact_email":"hastings@ebi.ac.uk","contact_orcid":"0000-0002-3469-4923"}],"homepage":"https://github.com/jannahastings/mental-functioning-ontology","identifier":244,"description":"The Mental Functioning Ontology is an ontology for mental functioning, including mental processes such as cognition and traits such as intelligence, and related diseases and disorders. It is developed in the context of the Ontology for General Medical Science and the Basic Formal Ontology. The project is being developed in collaboration between the University of Geneva, Switzerland, and the University at Buffalo, USA. The project is being developed with full involvement of all relevant communities, following best practices laid out by the OBO Foundry. Efforts are currently underway to align with related projects including the Behaviour Ontology, the Cognitive Atlas, the Cognitive Paradigm Ontology and the Neural Electro Magnetic Ontologies.","abbreviation":"MF","support_links":[{"url":"https://github.com/jannahastings/mental-functioning-ontology","type":"Github"},{"url":"https://pdfs.semanticscholar.org/3d94/3119ea9b3b0bba59d1c357899b27fe024721.pdf","name":"Representing mental functioning: Ontologies for mental health and disease","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MF","name":"MF","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mf.html","name":"mf","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002779","bsg-s002779"],"name":"FAIRsharing record for: Mental Functioning Ontology","abbreviation":"MF","url":"https://fairsharing.org/10.25504/FAIRsharing.4gm9gt","doi":"10.25504/FAIRsharing.4gm9gt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mental Functioning Ontology is an ontology for mental functioning, including mental processes such as cognition and traits such as intelligence, and related diseases and disorders. It is developed in the context of the Ontology for General Medical Science and the Basic Formal Ontology. The project is being developed in collaboration between the University of Geneva, Switzerland, and the University at Buffalo, USA. The project is being developed with full involvement of all relevant communities, following best practices laid out by the OBO Foundry. Efforts are currently underway to align with related projects including the Behaviour Ontology, the Cognitive Atlas, the Cognitive Paradigm Ontology and the Neural Electro Magnetic Ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cognitive Neuroscience","Biomedical Science"],"domains":["Cognition","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":5369,"fairsharing_record_id":244,"organisation_id":1819,"relation":"maintains","created_at":"2021-09-30T09:27:24.922Z","updated_at":"2021-09-30T09:27:24.922Z","grant_id":null,"is_lead":false,"saved_state":{"id":1819,"name":"Mental Functioning Ontology (MF) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"245","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:47:31.683Z","metadata":{"doi":"10.25504/FAIRsharing.fajtj3","name":"Biorefinery","status":"ready","contacts":[{"contact_name":"Patrice Buche","contact_email":"patrice.buche@supagro.inra.fr"}],"homepage":"https://www6.inrae.fr/cati-icat-atweb/Ontologies/Biorefinery","identifier":245,"description":"The Biorefinery ontology (BIOREFINERY) is dedicated to the determination of the best match treatment-biomass allowing the achievement of best constituent extraction yields with minimum environmental impact. It describes characteristics of biomass relevant for bio-refinery and unitary operations to transform biomass in glucose.","abbreviation":"BIOREFINERY","support_links":[{"url":"https://www6.inra.fr/cati-icat-atweb/Ontologies/Biorefinery","name":"INRA Biorefinery Documentation","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001100","bsg-s001100"],"name":"FAIRsharing record for: Biorefinery","abbreviation":"BIOREFINERY","url":"https://fairsharing.org/10.25504/FAIRsharing.fajtj3","doi":"10.25504/FAIRsharing.fajtj3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biorefinery ontology (BIOREFINERY) is dedicated to the determination of the best match treatment-biomass allowing the achievement of best constituent extraction yields with minimum environmental impact. It describes characteristics of biomass relevant for bio-refinery and unitary operations to transform biomass in glucose.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Agriculture","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Biomass"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1131,"relation":"undefined"}],"grants":[{"id":5370,"fairsharing_record_id":245,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:24.954Z","updated_at":"2021-09-30T09:27:24.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5371,"fairsharing_record_id":245,"organisation_id":1360,"relation":"maintains","created_at":"2021-09-30T09:27:25.000Z","updated_at":"2021-09-30T09:27:25.000Z","grant_id":null,"is_lead":false,"saved_state":{"id":1360,"name":"INRA @Web Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"246","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.815Z","metadata":{"doi":"10.25504/FAIRsharing.sszk3y","name":"Robert Hoehndorf's Version of MeSH","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"leechuck@leechuck.de","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://code.google.com/p/pharmgkb-owl/","identifier":246,"description":"A modified version of the Medical Subjects Headings Thesaurus (MeSH) 2014. This is an OWL representation of MeSH so that it can be integrated with other ontologies represented in OWL. It contains all terms that are in MeSH and in the MeSH concept tree, including the pharmacological actions (represented as subclass relations). Concepts in the MeSH concept tree are merged with MeSH term ids. Note that, while this ontology is composed of MeSH terms, it does not correspond directly to UMLS MeSH. In particular, a single term in UMLS MeSH often results in multiple classes in this ontology.","abbreviation":"RH-MeSH","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RH-MESH","name":"RH-MESH","portal":"BioPortal"}]},"legacy_ids":["bsg-002792","bsg-s002792"],"name":"FAIRsharing record for: Robert Hoehndorf's Version of MeSH","abbreviation":"RH-MeSH","url":"https://fairsharing.org/10.25504/FAIRsharing.sszk3y","doi":"10.25504/FAIRsharing.sszk3y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A modified version of the Medical Subjects Headings Thesaurus (MeSH) 2014. This is an OWL representation of MeSH so that it can be integrated with other ontologies represented in OWL. It contains all terms that are in MeSH and in the MeSH concept tree, including the pharmacological actions (represented as subclass relations). Concepts in the MeSH concept tree are merged with MeSH term ids. Note that, while this ontology is composed of MeSH terms, it does not correspond directly to UMLS MeSH. In particular, a single term in UMLS MeSH often results in multiple classes in this ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Biomedical Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":107,"relation":"undefined"}],"grants":[{"id":5372,"fairsharing_record_id":246,"organisation_id":2438,"relation":"maintains","created_at":"2021-09-30T09:27:25.042Z","updated_at":"2021-09-30T09:27:25.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":2438,"name":"RH-MeSH Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"247","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.088Z","metadata":{"doi":"10.25504/FAIRsharing.rm5xc3","name":"Gastroenterology Clinical Cases","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/3017","identifier":247,"description":"Gastroenterology Clinical Cases is an ontology to describe clinical case terminologies associated with Gastroenterology. The link for this record no longer works and there is no current information available at present.","abbreviation":"GCC","deprecation_date":"2019-06-18","deprecation_reason":"We do not have sufficient information on the status of this record."},"legacy_ids":["bsg-002791","bsg-s002791"],"name":"FAIRsharing record for: Gastroenterology Clinical Cases","abbreviation":"GCC","url":"https://fairsharing.org/10.25504/FAIRsharing.rm5xc3","doi":"10.25504/FAIRsharing.rm5xc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gastroenterology Clinical Cases is an ontology to describe clinical case terminologies associated with Gastroenterology. The link for this record no longer works and there is no current information available at present.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Gastroenterology"],"domains":["Disease","Lower digestive tract"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"249","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:37:04.407Z","metadata":{"doi":"10.25504/FAIRsharing.tb6w4b","name":"Cell Phenotype Ontology","status":"uncertain","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"rh497@cam.ac.uk","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://code.google.com/archive/p/cell-phenotype/","identifier":249,"description":"The CPO is an ontology of morphological and physiological phenotypic characteristics of cells, cell components and cellular processes. Its prime application is to provide terms and uniform definition patterns for the annotation of cellular phenotypes. The CPO can be used for the annotation of observed abnormalities in domains, such as systems microscopy, in which cellular abnormalities are observed and for which no phenotype ontology has been created.","abbreviation":"CPO","year_creation":2011},"legacy_ids":["bsg-002793","bsg-s002793"],"name":"FAIRsharing record for: Cell Phenotype Ontology","abbreviation":"CPO","url":"https://fairsharing.org/10.25504/FAIRsharing.tb6w4b","doi":"10.25504/FAIRsharing.tb6w4b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CPO is an ontology of morphological and physiological phenotypic characteristics of cells, cell components and cellular processes. Its prime application is to provide terms and uniform definition patterns for the annotation of cellular phenotypes. The CPO can be used for the annotation of observed abnormalities in domains, such as systems microscopy, in which cellular abnormalities are observed and for which no phenotype ontology has been created.","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11283}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell","Cell morphology","Phenotype","Morphology"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","United Kingdom","European Union"],"publications":[{"id":1276,"pubmed_id":22539675,"title":"Semantic integration of physiology phenotypes with an application to the Cellular Phenotype Ontology.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts250","authors":"Hoehndorf R,Harris MA,Herre H,Rustici G,Gkoutos GV","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts250","created_at":"2021-09-30T08:24:42.441Z","updated_at":"2021-09-30T08:24:42.441Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1837,"relation":"undefined"}],"grants":[{"id":5374,"fairsharing_record_id":249,"organisation_id":400,"relation":"maintains","created_at":"2021-09-30T09:27:25.122Z","updated_at":"2021-09-30T09:27:25.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":400,"name":"Cell Phenotype Ontology (CPO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"250","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.376Z","metadata":{"doi":"10.25504/FAIRsharing.9mfexc","name":"Minimum Information About a Genotyping Experiment","status":"ready","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"richard.scheuermann@utsouthwestern.edu","contact_orcid":"0000-0003-1355-892X"}],"homepage":"http://migen.sourceforge.net/","identifier":250,"description":"MIGen recommends the standard information required to report a genotyping experiment, covering: study and experiment design, subject information, sample collection and processing, genotyping procedure, and data analysis methods, if applicable.","abbreviation":"MIGen","support_links":[{"url":"jie.huang@utsouthwestern.edu","type":"Support email"},{"url":"http://migen.sourceforge.net/MIGenDownloads/MIGen%20Draft_V1_May2011.pdf","type":"Help documentation"},{"url":"http://mibbi.sourceforge.net/projects/MIGen.shtml","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000173","bsg-s000173"],"name":"FAIRsharing record for: Minimum Information About a Genotyping Experiment","abbreviation":"MIGen","url":"https://fairsharing.org/10.25504/FAIRsharing.9mfexc","doi":"10.25504/FAIRsharing.9mfexc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIGen recommends the standard information required to report a genotyping experiment, covering: study and experiment design, subject information, sample collection and processing, genotyping procedure, and data analysis methods, if applicable.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11154},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11580}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Genotyping","Deoxyribonucleic acid","Genome-wide association study","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1680,"pubmed_id":22180825,"title":"Minimum Information about a Genotyping Experiment (MIGEN).","year":2011,"url":"http://doi.org/10.4056/sigs.1994602","authors":"Huang J,Mirel D,Pugh E,Xing C,Robinson PN,Pertsemlidis A,Ding L,Kozlitina J,Maher J,Rios J,Story M,Marthandan N,Scheuermann RH","journal":"Stand Genomic Sci","doi":"10.4056/sigs.1994602","created_at":"2021-09-30T08:25:28.196Z","updated_at":"2021-09-30T08:25:28.196Z"}],"licence_links":[],"grants":[{"id":5375,"fairsharing_record_id":250,"organisation_id":1847,"relation":"maintains","created_at":"2021-09-30T09:27:25.154Z","updated_at":"2021-09-30T09:27:25.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":1847,"name":"Minimum Information about a Genotyping Experiment (MIGen) Working Group, Dallas, TX, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"251","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-05T13:51:33.397Z","metadata":{"doi":"10.25504/FAIRsharing.s7ryc2","name":"Ontology for Data Mining Investigations","status":"deprecated","contacts":[{"contact_name":"Pance Panov","contact_email":"Pance.Panov@ijs.si"}],"homepage":"http://www.ontodm.com/doku.php?id=ontodm-kdd","citations":[],"identifier":251,"description":"OntoDM-KDD is an ontology for representing data mining investigations. Its goal is to allow the representation of knowledge discovery processes and be general enough to represent the data mining investigations. The ontology is based on the CRISP-DM process methodology.","abbreviation":"OntoDM-KDD","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTODM-KDD","name":"ONTODM-KDD","portal":"BioPortal"}],"deprecation_date":"2023-04-05","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002817","bsg-s002817"],"name":"FAIRsharing record for: Ontology for Data Mining Investigations","abbreviation":"OntoDM-KDD","url":"https://fairsharing.org/10.25504/FAIRsharing.s7ryc2","doi":"10.25504/FAIRsharing.s7ryc2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoDM-KDD is an ontology for representing data mining investigations. Its goal is to allow the representation of knowledge discovery processes and be general enough to represent the data mining investigations. The ontology is based on the CRISP-DM process methodology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Slovenia","United Kingdom"],"publications":[{"id":1786,"pubmed_id":null,"title":"OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process","year":2013,"url":"http://doi.org/10.1007/978-3-642-40897-7_9","authors":"Panče PanovAffiliated with Jožef Stefan Institute , Larisa Soldatova, Sašo Džeroski","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-642-40897-7_9","created_at":"2021-09-30T08:25:40.430Z","updated_at":"2021-09-30T11:28:33.402Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"239","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2024-01-25T15:35:12.722Z","metadata":{"doi":"10.25504/FAIRsharing.a557he","name":"Ontology of Cardiovascular Drug Adverse Events","status":"deprecated","contacts":[{"contact_name":"Liwei Wang","contact_email":"wang.liwei@mayo.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/OCVDAE","citations":[],"identifier":239,"description":"With increased usage of cardiovascular drugs (CVDs) for treating cardiovascular diseases, it is important to analyze CVD-associated adverse events (AEs). The Ontology of Cardiovascular Drug Adverse Events (OCVDAE) is an ontology of adverse events associated with cardiovascular disease drugs. It extends the Ontology of Adverse Events (OAE) and NDF-RT. OCVDAE includes 194 CVDs, CVD ingredients, mechanisms of actions (MoAs), and CVD-associated 736 AEs.","abbreviation":"OCVDAE","support_links":[{"url":"yongqunh@med.umich.edu","name":"Yongqun Oliver He","type":"Support email"},{"url":"https://github.com/OCVDAE/OCVDAE","name":"GitHub Repository","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCVDAE","name":"OCVDAE","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This resource has not been updated since 2016, and it is no longer listed on the website of the maintaining He Group, therefore it has been deprecated. Please get in touch with us if you have any questions."},"legacy_ids":["bsg-001081","bsg-s001081"],"name":"FAIRsharing record for: Ontology of Cardiovascular Drug Adverse Events","abbreviation":"OCVDAE","url":"https://fairsharing.org/10.25504/FAIRsharing.a557he","doi":"10.25504/FAIRsharing.a557he","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: With increased usage of cardiovascular drugs (CVDs) for treating cardiovascular diseases, it is important to analyze CVD-associated adverse events (AEs). The Ontology of Cardiovascular Drug Adverse Events (OCVDAE) is an ontology of adverse events associated with cardiovascular disease drugs. It extends the Ontology of Adverse Events (OAE) and NDF-RT. OCVDAE includes 194 CVDs, CVD ingredients, mechanisms of actions (MoAs), and CVD-associated 736 AEs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Adverse Reaction","Cardiovascular disease","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China","United States"],"publications":[{"id":2289,"pubmed_id":29061976,"title":"Ontology-based systematical representation and drug class effect analysis of package insert-reported adverse events associated with cardiovascular drugs used in China.","year":2017,"url":"http://doi.org/10.1038/s41598-017-12580-4","authors":"Wang L,Li M,Xie J,Cao Y,Liu H,He Y","journal":"Sci Rep","doi":"10.1038/s41598-017-12580-4","created_at":"2021-09-30T08:26:39.073Z","updated_at":"2021-09-30T08:26:39.073Z"}],"licence_links":[],"grants":[{"id":5347,"fairsharing_record_id":239,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:24.057Z","updated_at":"2024-01-25T12:58:55.431Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5348,"fairsharing_record_id":239,"organisation_id":724,"relation":"maintains","created_at":"2021-09-30T09:27:24.100Z","updated_at":"2021-09-30T09:27:24.100Z","grant_id":null,"is_lead":false,"saved_state":{"id":724,"name":"Department of Medical Informatics, School of Public Health, Jilin University, Changchun, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5349,"fairsharing_record_id":239,"organisation_id":1227,"relation":"maintains","created_at":"2021-09-30T09:27:24.141Z","updated_at":"2021-09-30T09:27:24.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1227,"name":"Hebei Medical University, Shijiazhuang, Hebei Province, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5350,"fairsharing_record_id":239,"organisation_id":716,"relation":"maintains","created_at":"2021-09-30T09:27:24.182Z","updated_at":"2021-09-30T09:27:24.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":716,"name":"Department of Health Sciences Research, Mayo Clinic, Rochester, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"240","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:55:06.497Z","metadata":{"doi":"10.25504/FAIRsharing.as08v3","name":"CareLex Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Jennifer Alpert Palchak","contact_email":"admin@carelex.org"}],"homepage":"http://www.carelex.org/","identifier":240,"description":"Contains controlled vocabulary terms from National Cancer Institute used to classify clinical trial electronic content (documents, images, etc). A Content model contains content classification categories (classes) and metadata properties (data properties). Data properties should be assigned to each Content Type. This model has been published as part of the new OASIS eTMF Standard, a draft specification available at: http://oasis-open.org/committees/etmf. CareLex is a non-profit organization formed to promote eClinical application and content interoperability for the life sciences and healthcare industries.","abbreviation":"CareLex CV","support_links":[{"url":"http://carelex.org/blog/","type":"Blog/News"},{"url":"http://carelex.org/contact/","type":"Contact form"},{"url":"http://carelex.org/faq/","name":"CareLex FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://carelex.org/how-to-use-carelex/","name":"How To Use CareLex","type":"Help documentation"},{"url":"http://carelex.org/training/","type":"Training documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CARELEX","name":"CARELEX","portal":"BioPortal"}]},"legacy_ids":["bsg-002784","bsg-s002784"],"name":"FAIRsharing record for: CareLex Controlled Vocabulary","abbreviation":"CareLex CV","url":"https://fairsharing.org/10.25504/FAIRsharing.as08v3","doi":"10.25504/FAIRsharing.as08v3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Contains controlled vocabulary terms from National Cancer Institute used to classify clinical trial electronic content (documents, images, etc). A Content model contains content classification categories (classes) and metadata properties (data properties). Data properties should be assigned to each Content Type. This model has been published as part of the new OASIS eTMF Standard, a draft specification available at: http://oasis-open.org/committees/etmf. CareLex is a non-profit organization formed to promote eClinical application and content interoperability for the life sciences and healthcare industries.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12469}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Cancer","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5351,"fairsharing_record_id":240,"organisation_id":607,"relation":"maintains","created_at":"2021-09-30T09:27:24.222Z","updated_at":"2021-09-30T09:27:24.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":607,"name":"Content Archive Resource Exchange Lexicon (CareLex) Administrators","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"241","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T09:41:07.289Z","metadata":{"doi":"10.25504/FAIRsharing.11889","name":"mz peptide and protein Identification Markup Language","status":"ready","contacts":[{"contact_name":"Andy Jones","contact_email":"Andrew.Jones@liverpool.ac.uk"}],"homepage":"http://www.psidev.info/mzidentml","citations":[],"identifier":241,"description":"A large number of different proteomics search engines are available that produce output in a variety of different formats. It is intended that mzIdentML will provide a common format for the export of identification results from any search engine. The format was originally developed under the name AnalysisXML as a format for several types of computational analyses performed over mass spectra in the proteomics context. It has been decided to split development into two formats: mzIdentML for peptide and protein identification, and mzQuantML, covering quantitative proteomic data derived from MS.","abbreviation":"mzIdentML","support_links":[{"url":"https://www.psidev.info/mzidentml","name":"PSI mzIdentML Homepage","type":"Help documentation"},{"url":"psi-dev@listserv.sourceforge.net","type":"Mailing list"},{"url":"https://github.com/HUPO-PSI/mzIdentML","name":"mzIdentML on GitHub","type":"Github"},{"url":"https://lists.sourceforge.net/lists/listinfo/psidev-pi-dev","name":"mzIdentML Development Discussion List","type":"Contact form"}],"year_creation":2009,"associated_tools":[{"url":"https://www.psidev.info/tools-implementing-mzidentml","name":"Tools implementing mzIdentML"}]},"legacy_ids":["bsg-000002","bsg-s000002"],"name":"FAIRsharing record for: mz peptide and protein Identification Markup Language","abbreviation":"mzIdentML","url":"https://fairsharing.org/10.25504/FAIRsharing.11889","doi":"10.25504/FAIRsharing.11889","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A large number of different proteomics search engines are available that produce output in a variety of different formats. It is intended that mzIdentML will provide a common format for the export of identification results from any search engine. The format was originally developed under the name AnalysisXML as a format for several types of computational analyses performed over mass spectra in the proteomics context. It has been decided to split development into two formats: mzIdentML for peptide and protein identification, and mzQuantML, covering quantitative proteomic data derived from MS.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11422},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11915}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Peptide identification","Protein identification","Omics data analysis","Centrally registered identifier","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1529,"pubmed_id":21063947,"title":"mzIdentML: an open community-built standard format for the results of proteomics spectrum identification algorithms.","year":2010,"url":"http://doi.org/10.1007/978-1-60761-987-1_10","authors":"Eisenacher M.","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-60761-987-1_10","created_at":"2021-09-30T08:25:11.151Z","updated_at":"2021-09-30T08:25:11.151Z"},{"id":4029,"pubmed_id":28515314,"title":"The mzIdentML Data Standard Version 1.2, Supporting Advances in Proteome Informatics","year":2017,"url":"http://dx.doi.org/10.1074/mcp.m117.068429","authors":"Vizcaíno, Juan Antonio; Mayer, Gerhard; Perkins, Simon; Barsnes, Harald; Vaudel, Marc; Perez-Riverol, Yasset; Ternent, Tobias; Uszkoreit, Julian; Eisenacher, Martin; Fischer, Lutz; Rappsilber, Juri; Netz, Eugen; Walzer, Mathias; Kohlbacher, Oliver; Leitner, Alexander; Chalkley, Robert J.; Ghali, Fawaz; Martínez-Bartolomé, Salvador; Deutsch, Eric W.; Jones, Andrew R.; ","journal":"Molecular \u0026amp; Cellular Proteomics","doi":"10.1074/mcp.m117.068429","created_at":"2023-10-23T14:28:02.915Z","updated_at":"2023-10-23T14:28:02.915Z"},{"id":4030,"pubmed_id":22375074,"title":"The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results","year":2012,"url":"https://doi.org/10.1074/mcp.m111.014381","authors":"Jones AR, Eisenacher M, Mayer G, Kohlbacher O, Siepen J, Hubbard SJ, Selley JN, Searle BC, Shofstahl J, Seymour SL, Julian R, Binz PA, Deutsch EW, Hermjakob H, Reisinger F, Griss J, Vizcaíno JA, Chambers M, Pizarro A, Creasy D","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.m111.014381","created_at":"2023-10-23T14:31:51.857Z","updated_at":"2023-10-23T14:31:51.857Z"}],"licence_links":[],"grants":[{"id":5352,"fairsharing_record_id":241,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:24.258Z","updated_at":"2021-09-30T09:27:24.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"242","type":"fairsharing_records","attributes":{"created_at":"2019-05-03T19:07:26.000Z","updated_at":"2022-07-20T12:46:20.038Z","metadata":{"doi":"10.25504/FAIRsharing.p9EyGm","name":"Minimum Information for Reusable Arthropod Abundance Data","status":"ready","contacts":[{"contact_name":"Samuel Rund","contact_email":"srund@nd.edu","contact_orcid":"0000-0002-1701-7787"}],"homepage":"https://www.nature.com/articles/s41597-019-0042-5","citations":[{"doi":"10.1038/s41597-019-0042-5","pubmed_id":31024009,"publication_id":2448}],"identifier":242,"description":"The Minimum Information for Reusable Arthropod Abundance Data (MIReAD) is a minimum information standard for reporting arthropod abundance data through time. Developed with broad stakeholder collaboration, it balances sufficiency for reuse with the practicality of preparing the data for submission. It is designed to optimize data (re)usability from the “FAIR,” (Findable, Accessible, Interoperable, and Reusable) principles of public data archiving (PDA). This standard aims to facilitate data unification across research initiatives and communities dedicated to surveillance for detection and control of vector-borne diseases and pests.","abbreviation":"MIReAD","year_creation":2019},"legacy_ids":["bsg-001367","bsg-s001367"],"name":"FAIRsharing record for: Minimum Information for Reusable Arthropod Abundance Data","abbreviation":"MIReAD","url":"https://fairsharing.org/10.25504/FAIRsharing.p9EyGm","doi":"10.25504/FAIRsharing.p9EyGm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information for Reusable Arthropod Abundance Data (MIReAD) is a minimum information standard for reporting arthropod abundance data through time. Developed with broad stakeholder collaboration, it balances sufficiency for reuse with the practicality of preparing the data for submission. It is designed to optimize data (re)usability from the “FAIR,” (Findable, Accessible, Interoperable, and Reusable) principles of public data archiving (PDA). This standard aims to facilitate data unification across research initiatives and communities dedicated to surveillance for detection and control of vector-borne diseases and pests.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12544}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Agroecology","Population Dynamics","Biodiversity","Agriculture"],"domains":["FAIR"],"taxonomies":["Arthropoda"],"user_defined_tags":[],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":2448,"pubmed_id":31024009,"title":"MIReAD, a minimum information standard for reporting arthropod abundance data.","year":2019,"url":"http://doi.org/10.1038/s41597-019-0042-5","authors":"Rund SSC,Braak K,Cator L,Copas K,Emrich SJ,Giraldo-Calderon GI,Johansson MA,Heydari N,Hobern D,Kelly SA,Lawson D,Lord C,MacCallum RM,Roche DG,Ryan SJ,Schigel D,Vandegrift K,Watts M,Zaspel JM,Pawar S","journal":"Sci Data","doi":"10.1038/s41597-019-0042-5","created_at":"2021-09-30T08:27:00.243Z","updated_at":"2021-09-30T08:27:00.243Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1128,"relation":"undefined"}],"grants":[{"id":5353,"fairsharing_record_id":242,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:24.300Z","updated_at":"2021-09-30T09:27:24.300Z","grant_id":null,"is_lead":true,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5358,"fairsharing_record_id":242,"organisation_id":557,"relation":"maintains","created_at":"2021-09-30T09:27:24.491Z","updated_at":"2021-09-30T09:27:24.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":557,"name":"College of Life Sciences, University of Kwa-Zulu Natal, Durban, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5361,"fairsharing_record_id":242,"organisation_id":1320,"relation":"maintains","created_at":"2021-09-30T09:27:24.651Z","updated_at":"2021-09-30T09:27:24.651Z","grant_id":null,"is_lead":false,"saved_state":{"id":1320,"name":"Imperial College London, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5364,"fairsharing_record_id":242,"organisation_id":3137,"relation":"maintains","created_at":"2021-09-30T09:27:24.748Z","updated_at":"2021-09-30T09:27:24.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":3137,"name":"University of Tennessee, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5354,"fairsharing_record_id":242,"organisation_id":3055,"relation":"maintains","created_at":"2021-09-30T09:27:24.337Z","updated_at":"2021-09-30T09:27:24.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5355,"fairsharing_record_id":242,"organisation_id":421,"relation":"maintains","created_at":"2021-09-30T09:27:24.371Z","updated_at":"2021-09-30T09:27:24.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":421,"name":"Center for Global Health and Translational Science, State University of New York Upstate Medical University, Syracuse, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5356,"fairsharing_record_id":242,"organisation_id":1021,"relation":"maintains","created_at":"2021-09-30T09:27:24.408Z","updated_at":"2021-09-30T09:27:24.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":1021,"name":"Florida Medical Entomology Lab, University of Florida-IFAS, Vero Beach, FL, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5357,"fairsharing_record_id":242,"organisation_id":1404,"relation":"maintains","created_at":"2021-09-30T09:27:24.450Z","updated_at":"2021-09-30T09:27:24.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":1404,"name":"Institute of Biology, University of Neuchatel, Neuchatel, Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5359,"fairsharing_record_id":242,"organisation_id":423,"relation":"maintains","created_at":"2021-09-30T09:27:24.529Z","updated_at":"2021-09-30T09:27:24.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":423,"name":"Center for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, University Park, PA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5360,"fairsharing_record_id":242,"organisation_id":745,"relation":"maintains","created_at":"2021-09-30T09:27:24.563Z","updated_at":"2021-09-30T09:27:24.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":745,"name":"Department of Zoology, Milwaukee Public Museum, Milwaukee, WI, USA","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5362,"fairsharing_record_id":242,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:27:24.688Z","updated_at":"2021-09-30T09:27:24.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5363,"fairsharing_record_id":242,"organisation_id":442,"relation":"maintains","created_at":"2021-09-30T09:27:24.720Z","updated_at":"2021-09-30T09:27:24.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":442,"name":"Centers for Disease Control and Prevention, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"206","type":"fairsharing_records","attributes":{"created_at":"2016-08-19T10:53:26.000Z","updated_at":"2024-04-04T10:15:48.304Z","metadata":{"doi":"10.25504/FAIRsharing.fztr98","name":"FAANG metadata experiment specification standard","status":"ready","contacts":[{"contact_name":"Alexey Sokolov","contact_email":"alexey@ebi.ac.uk","contact_orcid":"0000-0002-3387-0649"}],"homepage":"https://github.com/FAANG/faang-metadata/blob/master/docs/faang_experiment_metadata.md","citations":[],"identifier":206,"description":"The FAANG metadata experiment specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG experiments are well described and that the description is well structured. We support the MIAME and MINSEQE guidelines, and aim to convert them to a concrete specification. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","abbreviation":null,"support_links":[{"url":"faang@iastate.edu","name":"General Contact","type":"Support email"},{"url":"faang-dcc@ebi.ac.uk","name":"DCC General Contact","type":"Support email"}],"year_creation":2016,"associated_tools":[{"url":"http://www.ebi.ac.uk/vg/faang","name":"FAANG metadata validation tool"}]},"legacy_ids":["bsg-000673","bsg-s000673"],"name":"FAIRsharing record for: FAANG metadata experiment specification standard","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fztr98","doi":"10.25504/FAIRsharing.fztr98","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAANG metadata experiment specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG experiments are well described and that the description is well structured. We support the MIAME and MINSEQE guidelines, and aim to convert them to a concrete specification. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Experimental measurement","Biological sample annotation","Biological sample","Sample preparation for assay","Protocol","Study design","Experimentally determined","Genome-wide association study"],"taxonomies":["Bos taurus","Bubalus bubalis","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":["Experimental condition"],"countries":["United Kingdom","United States","European Union"],"publications":[],"licence_links":[{"licence_name":"FAANG Apache License","licence_id":308,"licence_url":"https://github.com/FAANG/validate-metadata/blob/master/LICENSE","link_id":2224,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":2223,"relation":"undefined"}],"grants":[{"id":5275,"fairsharing_record_id":206,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:21.281Z","updated_at":"2021-09-30T09:27:21.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5277,"fairsharing_record_id":206,"organisation_id":1069,"relation":"maintains","created_at":"2021-09-30T09:27:21.331Z","updated_at":"2021-09-30T09:27:21.331Z","grant_id":null,"is_lead":true,"saved_state":{"id":1069,"name":"Functional Annotation of Animal Genomes (FAANG) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9229,"fairsharing_record_id":206,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.957Z","updated_at":"2022-04-11T12:07:23.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"207","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T22:45:43.000Z","updated_at":"2021-11-24T13:13:50.915Z","metadata":{"doi":"10.25504/FAIRsharing.4163ac","name":"Good Epidemiological Practice","status":"ready","contacts":[{"contact_name":"Neeltje van den Berg","contact_email":"neeltje.vandenberg@uni.greifswald.de"}],"homepage":"https://www.dgepi.de/assets/Good-Epidemiological-Practice-GEP-EurJ-Epidemiol-2019.pdf","citations":[{"doi":"https://doi.org/10.1007/s10654-019-00500-x","publication_id":2893}],"identifier":207,"description":"The GEP are addressed to everyone involved in the planning, preparation, execution, analysis, and evaluation of epidemiological research, as well as research institutes, and funding bodies. The GEP adopts international best practices for epidemiological research.","abbreviation":"GEP","year_creation":1999},"legacy_ids":["bsg-001464","bsg-s001464"],"name":"FAIRsharing record for: Good Epidemiological Practice","abbreviation":"GEP","url":"https://fairsharing.org/10.25504/FAIRsharing.4163ac","doi":"10.25504/FAIRsharing.4163ac","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GEP are addressed to everyone involved in the planning, preparation, execution, analysis, and evaluation of epidemiological research, as well as research institutes, and funding bodies. The GEP adopts international best practices for epidemiological research.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12237},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12553}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Epidemiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2893,"pubmed_id":null,"title":"Guidelines and recommendations for ensuring Good Epidemiological Practice (GEP): a guideline developed by the German Society for Epidemiology.","year":2019,"url":"https://doi.org/10.1007/s10654-019-00500-x","authors":"Hoffmann, W., Latza, U., Baumeister, S.E. et al.","journal":"Eur J Epidemiol.","doi":"https://doi.org/10.1007/s10654-019-00500-x","created_at":"2021-09-30T08:27:56.208Z","updated_at":"2021-09-30T08:27:56.208Z"}],"licence_links":[],"grants":[{"id":5280,"fairsharing_record_id":207,"organisation_id":1145,"relation":"maintains","created_at":"2021-09-30T09:27:21.415Z","updated_at":"2021-09-30T09:27:21.415Z","grant_id":null,"is_lead":true,"saved_state":{"id":1145,"name":"German Society for Epidemiology (DGEpi)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5278,"fairsharing_record_id":207,"organisation_id":1146,"relation":"maintains","created_at":"2021-09-30T09:27:21.362Z","updated_at":"2021-09-30T09:27:21.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":1146,"name":"German Society of Social Medicine and Prevention (DGSMP)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5279,"fairsharing_record_id":207,"organisation_id":1143,"relation":"maintains","created_at":"2021-09-30T09:27:21.391Z","updated_at":"2021-09-30T09:27:21.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":1143,"name":"German Region of the International Biometric Society (IBS-DR)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5281,"fairsharing_record_id":207,"organisation_id":1132,"relation":"maintains","created_at":"2021-09-30T09:27:21.445Z","updated_at":"2021-09-30T09:27:21.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1132,"name":"German Association for Medical Informatics, Biometry and Epidemiology (GMDS)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"208","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T11:38:27.000Z","updated_at":"2023-02-24T14:56:53.171Z","metadata":{"name":"Towards an International Data Commons for Crystallography Metadata Application Profile","status":"deprecated","contacts":[],"homepage":"http://wiki.ecrystals.chem.soton.ac.uk/index.php/Work_Package_4:_Repositories,_Preservation_and_Sustainability","citations":[],"identifier":208,"description":"TIDCC TMAP was a first attempt at constructing an over-arching AP for crystallography data which would facilitate the exchange of not only metadata, but also the data itself. However, following several meetings is has become apparent that a more effective way forward is to adapt the ICAT data model (a simpler version of the CSMD) and schema to cater for curatorial and preservation activities since ICAT is presently being used by a growing proportion of the science community for managing their data. In future this record may be deprecated in favor of ICAT.","abbreviation":"TIDCC TMAP","support_links":[{"url":"http://wiki.ecrystals.chem.soton.ac.uk/images/9/9d/ECrystals-WP4-PM-Final.pdf","name":"Preservation Metadata for Crystallography Data (Contains Spec)","type":"Help documentation"}],"year_creation":2009,"deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-001312","bsg-s001312"],"name":"FAIRsharing record for: Towards an International Data Commons for Crystallography Metadata Application Profile","abbreviation":"TIDCC TMAP","url":"https://fairsharing.org/fairsharing_records/208","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TIDCC TMAP was a first attempt at constructing an over-arching AP for crystallography data which would facilitate the exchange of not only metadata, but also the data itself. However, following several meetings is has become apparent that a more effective way forward is to adapt the ICAT data model (a simpler version of the CSMD) and schema to cater for curatorial and preservation activities since ICAT is presently being used by a growing proportion of the science community for managing their data. In future this record may be deprecated in favor of ICAT.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Chemistry","Materials Science"],"domains":["X-ray crystallography assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic (CC BY-NC-SA 2.5)","licence_id":181,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.5/","link_id":673,"relation":"undefined"}],"grants":[{"id":8997,"fairsharing_record_id":208,"organisation_id":3439,"relation":"associated_with","created_at":"2022-03-14T19:14:15.160Z","updated_at":"2022-03-14T19:14:15.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":3439,"name":"US National Institutes of Health Human BioMolecular Atlas Program (HuBMAP)","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8998,"fairsharing_record_id":208,"organisation_id":1954,"relation":"associated_with","created_at":"2022-03-14T19:14:15.195Z","updated_at":"2022-03-14T19:14:15.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8996,"fairsharing_record_id":208,"organisation_id":3438,"relation":"funds","created_at":"2022-03-14T19:14:14.771Z","updated_at":"2022-03-14T19:14:14.771Z","grant_id":1836,"is_lead":false,"saved_state":{"id":3438,"name":"US National Cancer Institute under the Human Tumor Atlas Network (HTAN)","grant":"HTAN Consortium and the Cancer Systems Biology Consortium (CSBC)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"209","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:01:57.647Z","metadata":{"doi":"10.25504/FAIRsharing.8tnnrs","name":"Vaccination Informed Consent Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/VICO-ontology/VICO","identifier":209,"description":"The Vaccination Informed Consent Ontology (VICO) is a community-driven ontology in the domain of vaccination/immunization informed consent. It extends the Informed Consent Ontology and integrates related OBO foundry ontologies, such as the Vaccine Ontology, with a focus on vaccination screening questionnaires in the vaccination informed consent domain. VICO could support a platform for vaccination informed consent data standardization, data integration, and data queries.","abbreviation":"VICO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VICO","name":"VICO","portal":"BioPortal"}]},"legacy_ids":["bsg-000956","bsg-s000956"],"name":"FAIRsharing record for: Vaccination Informed Consent Ontology","abbreviation":"VICO","url":"https://fairsharing.org/10.25504/FAIRsharing.8tnnrs","doi":"10.25504/FAIRsharing.8tnnrs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vaccination Informed Consent Ontology (VICO) is a community-driven ontology in the domain of vaccination/immunization informed consent. It extends the Informed Consent Ontology and integrates related OBO foundry ontologies, such as the Vaccine Ontology, with a focus on vaccination screening questionnaires in the vaccination informed consent domain. VICO could support a platform for vaccination informed consent data standardization, data integration, and data queries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Vaccine","Vaccination"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":250,"pubmed_id":27099700,"title":"VICO: Ontology-based representation and integrative analysis of Vaccination Informed Consent forms.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0062-4","authors":"Lin Y,Zheng J,He Y","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0062-4","created_at":"2021-09-30T08:22:47.006Z","updated_at":"2021-09-30T08:22:47.006Z"}],"licence_links":[],"grants":[{"id":5283,"fairsharing_record_id":209,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:21.526Z","updated_at":"2021-09-30T09:27:21.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"210","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:25:43.747Z","metadata":{"doi":"10.25504/FAIRsharing.cyv30a","name":"Terminological and Ontological Knowledge Resources Ontology","status":"ready","contacts":[{"contact_name":"Nizar Ghoula","contact_email":"Nizar.Ghoula@unige.ch"}],"homepage":"http://bioportal.bioontology.org/ontologies/TOK","identifier":210,"description":"An Ontology describing resources with different formats. This Ontology can be used to annotate and describe terminological / ontological knowledge resources.","abbreviation":"TOK","support_links":[{"url":"http://cui.unige.ch/isi/onto/tok/OWL_Doc/","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TOK","name":"TOK","portal":"BioPortal"}]},"legacy_ids":["bsg-002645","bsg-s002645"],"name":"FAIRsharing record for: Terminological and Ontological Knowledge Resources Ontology","abbreviation":"TOK","url":"https://fairsharing.org/10.25504/FAIRsharing.cyv30a","doi":"10.25504/FAIRsharing.cyv30a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An Ontology describing resources with different formats. This Ontology can be used to annotate and describe terminological / ontological knowledge resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Taxonomic classification"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2358,"pubmed_id":null,"title":"TOK: A meta-model and ontology for heterogenous terminological, linguistic and ontological knowledge resources","year":2010,"url":"https://ieeexplore.ieee.org/document/5616566","authors":"Nizar Ghoula, Gilles Falquet and Jacques Guyot","journal":"IEEE","doi":null,"created_at":"2021-09-30T08:26:49.861Z","updated_at":"2021-09-30T08:26:49.861Z"}],"licence_links":[],"grants":[{"id":5284,"fairsharing_record_id":210,"organisation_id":2863,"relation":"maintains","created_at":"2021-09-30T09:27:21.559Z","updated_at":"2021-09-30T09:27:21.559Z","grant_id":null,"is_lead":false,"saved_state":{"id":2863,"name":"TOK Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"211","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:11:56.907Z","metadata":{"doi":"10.25504/FAIRsharing.xs4ge6","name":"Brucellosis Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.phidias.us/bbp/idobru/index.php","identifier":211,"description":"The Brucellosis Ontology is an extension of the Infectious Disease Ontology. It is a biomedical ontology describing the zoonotic disease brucellosis that is caused by Brucella, a facultative intracellular bacterium. The ontology is intended as an aid in brucellosis-related data standardization and integration.","abbreviation":"IDOBRU","support_links":[{"url":"http://www.phidias.us/bbp/documents/faqs.php","name":"Brucella Bioinformatics Portal FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.phidias.us/bbp/documents/index.php","name":"Documentation","type":"Help documentation"},{"url":"https://sourceforge.net/projects/idobru/","name":"Sourceforge Project Page","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IDOBRU","name":"IDOBRU","portal":"BioPortal"}]},"legacy_ids":["bsg-002691","bsg-s002691"],"name":"FAIRsharing record for: Brucellosis Ontology","abbreviation":"IDOBRU","url":"https://fairsharing.org/10.25504/FAIRsharing.xs4ge6","doi":"10.25504/FAIRsharing.xs4ge6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Brucellosis Ontology is an extension of the Infectious Disease Ontology. It is a biomedical ontology describing the zoonotic disease brucellosis that is caused by Brucella, a facultative intracellular bacterium. The ontology is intended as an aid in brucellosis-related data standardization and integration.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Pathogen","Infection"],"taxonomies":["Brucella"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":689,"pubmed_id":22041276,"title":"Brucellosis Ontology (IDOBRU) as an extension of the Infectious Disease Ontology.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-9","authors":"Lin Y,Xiang Z,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-9","created_at":"2021-09-30T08:23:35.944Z","updated_at":"2021-09-30T08:23:35.944Z"}],"licence_links":[],"grants":[{"id":5285,"fairsharing_record_id":211,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:21.596Z","updated_at":"2021-09-30T09:27:21.596Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5286,"fairsharing_record_id":211,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:21.635Z","updated_at":"2021-09-30T09:30:30.649Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"231","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:07.386Z","metadata":{"doi":"10.25504/FAIRsharing.r3vtvx","name":"Ecological Metadata Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"eml-dev@ecoinformatics.org"}],"homepage":"https://eml.ecoinformatics.org/","citations":[],"identifier":231,"description":"The Ecological Metadata Language (EML) metadata standard was originally developed for the earth, environmental and ecological sciences. It is based on prior work done by the Ecological Society of America and associated efforts. It has been developed to document any research data, and as such can be used outside of these original subject areas. EML is implemented as a series of XML document types that can by used in a modular and extensible manner to document research data. Each EML module is designed to describe one logical part of the total metadata that should be included with any dataset.","abbreviation":"EML","support_links":[{"url":"http://github.com/NCEAS/eml/issues","name":"Issue Tracking / Bug Reports","type":"Github"},{"url":"https://github.com/NCEAS/eml","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/devoted-to-open-data-and-open-source-in-science-and-education","name":"Devoted to open data and open source in science and education.","type":"TeSS links to training materials"},{"url":"https://twitter.com/nceas","name":"@nceas","type":"Twitter"}]},"legacy_ids":["bsg-000552","bsg-s000552"],"name":"FAIRsharing record for: Ecological Metadata Language","abbreviation":"EML","url":"https://fairsharing.org/10.25504/FAIRsharing.r3vtvx","doi":"10.25504/FAIRsharing.r3vtvx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ecological Metadata Language (EML) metadata standard was originally developed for the earth, environmental and ecological sciences. It is based on prior work done by the Ecological Society of America and associated efforts. It has been developed to document any research data, and as such can be used outside of these original subject areas. EML is implemented as a series of XML document types that can by used in a modular and extensible manner to document research data. Each EML module is designed to describe one logical part of the total metadata that should be included with any dataset.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13904}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Ecology","Natural Science","Earth Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":643,"pubmed_id":null,"title":"Maximizing the Value of Ecological Data with Structured Metadata: An Introduction to Ecological Metadata Language (EML) and Principles for Metadata Creation","year":2005,"url":"http://doi.org/10.1890/0012-9623(2005)86[158:MTVOED]2.0.CO;2","authors":"Eric H. Fegraus, Sandy Andelman, Matthew B. Jones, and Mark Schildhauer","journal":"ESA Bulletin","doi":"10.1890/0012-9623(2005)86[158:MTVOED]2.0.CO;2","created_at":"2021-09-30T08:23:30.778Z","updated_at":"2021-09-30T08:23:30.778Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":2144,"relation":"undefined"}],"grants":[{"id":5329,"fairsharing_record_id":231,"organisation_id":652,"relation":"maintains","created_at":"2021-09-30T09:27:23.382Z","updated_at":"2021-09-30T09:27:23.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":652,"name":"DataONE, Santa Barbara, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5328,"fairsharing_record_id":231,"organisation_id":1961,"relation":"maintains","created_at":"2021-09-30T09:27:23.352Z","updated_at":"2021-09-30T09:27:23.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1961,"name":"National Center for Ecological Analysis and Synthesis (NCEAS), Santa Barbara, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5332,"fairsharing_record_id":231,"organisation_id":1643,"relation":"maintains","created_at":"2021-09-30T09:27:23.466Z","updated_at":"2021-09-30T09:27:23.466Z","grant_id":null,"is_lead":false,"saved_state":{"id":1643,"name":"Knowledge Network for Biocomplexity (KNB)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5330,"fairsharing_record_id":231,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:23.411Z","updated_at":"2021-09-30T09:31:25.959Z","grant_id":1166,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB99-80154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11531,"fairsharing_record_id":231,"organisation_id":1725,"relation":"maintains","created_at":"2024-03-21T13:58:07.184Z","updated_at":"2024-03-21T13:58:07.184Z","grant_id":null,"is_lead":false,"saved_state":{"id":1725,"name":"Long-Term Ecological Research Network","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcjBDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e24087733378b810fe2cc0c67d5715171149619b/eml-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"232","type":"fairsharing_records","attributes":{"created_at":"2019-09-03T20:40:12.000Z","updated_at":"2023-02-28T09:27:58.778Z","metadata":{"name":"GO FAIR Core Ontology","status":"in_development","contacts":[{"contact_name":"Robert Pergl","contact_email":"perglr@fit.cvut.cz","contact_orcid":"0000-0003-2980-4400"}],"homepage":"https://github.com/go-fair-ins/GO-FAIR-Ontology","identifier":232,"description":"GO FAIR Core Ontology's goal is to define key terms and their relations, independent on any implementation considerations, i.e. to provide ontological clarification. It is modelled using Unified Foundational Ontology (UFO) and the OntoUML language.","abbreviation":"GFCO","support_links":[{"url":"perglr@fit.cvut.cz","name":"Email","type":"Support email"},{"url":"https://github.com/go-fair-ins/GO-FAIR-Ontology/issues","name":"GitHub Issues","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://www.visual-paradigm.com/download/","name":"Visual Paradigm 16.0"}]},"legacy_ids":["bsg-001394","bsg-s001394"],"name":"FAIRsharing record for: GO FAIR Core Ontology","abbreviation":"GFCO","url":"https://fairsharing.org/fairsharing_records/232","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GO FAIR Core Ontology's goal is to define key terms and their relations, independent on any implementation considerations, i.e. to provide ontological clarification. It is modelled using Unified Foundational Ontology (UFO) and the OntoUML language.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Czech Republic","Italy","Netherlands"],"publications":[],"licence_links":[{"licence_name":"Synapse Apache 2.0","licence_id":766,"licence_url":"https://github.com/Sage-Bionetworks/Synapse-Repository-Services/blob/develop/LICENSE","link_id":1211,"relation":"undefined"}],"grants":[{"id":5335,"fairsharing_record_id":232,"organisation_id":1187,"relation":"maintains","created_at":"2021-09-30T09:27:23.639Z","updated_at":"2021-09-30T09:27:23.639Z","grant_id":null,"is_lead":false,"saved_state":{"id":1187,"name":"GO FAIR","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5334,"fairsharing_record_id":232,"organisation_id":634,"relation":"maintains","created_at":"2021-09-30T09:27:23.537Z","updated_at":"2021-09-30T09:27:23.537Z","grant_id":null,"is_lead":true,"saved_state":{"id":634,"name":"Centre of Conceptual Modelling and Implementation, Faculty of Information Technology, Czech Technical University in Prague","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":10381,"fairsharing_record_id":232,"organisation_id":3901,"relation":"collaborates_on","created_at":"2023-02-28T09:13:48.814Z","updated_at":"2023-02-28T09:13:48.814Z","grant_id":null,"is_lead":false,"saved_state":{"id":3901,"name":"GO FAIR Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}},{"id":10382,"fairsharing_record_id":232,"organisation_id":3902,"relation":"collaborates_on","created_at":"2023-02-28T09:13:48.819Z","updated_at":"2023-02-28T09:13:48.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":3902,"name":"Codevence","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":10380,"fairsharing_record_id":232,"organisation_id":3900,"relation":"maintains","created_at":"2023-02-27T11:43:06.097Z","updated_at":"2023-02-27T11:43:06.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":3900,"name":"Faculty of Information Technology, Czech Technical University in Prague","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5333,"fairsharing_record_id":232,"organisation_id":1055,"relation":"maintains","created_at":"2021-09-30T09:27:23.504Z","updated_at":"2021-09-30T09:27:23.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":1055,"name":"Faculty of Computer Science, Free University of Bozen-Bolzano","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"233","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.394Z","metadata":{"doi":"10.25504/FAIRsharing.mc998w","name":"Neomark Oral Cancer Ontology version 4","status":"uncertain","contacts":[{"contact_name":"Dario Salvi","contact_email":"dsalvi@lst.tfo.upm.es","contact_orcid":"0000-0002-9203-1124"}],"homepage":"http://bioportal.bioontology.org/ontologies/1686","identifier":233,"description":"An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","abbreviation":"NeoMark4","support_links":[{"url":"http://www.neomark.eu","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-002766","bsg-s002766"],"name":"FAIRsharing record for: Neomark Oral Cancer Ontology version 4","abbreviation":"NeoMark4","url":"https://fairsharing.org/10.25504/FAIRsharing.mc998w","doi":"10.25504/FAIRsharing.mc998w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Oncology","Genomics","Proteomics","Biomedical Science"],"domains":["Biomarker","Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1789,"pubmed_id":22955869,"title":"Merging person-specific bio-markers for predicting oral cancer recurrence through an ontology.","year":2012,"url":"http://doi.org/10.1109/TBME.2012.2216879","authors":"Salvi D,Picone M,Arredondo MT,Cabrera-Umpierrez MF,Esteban A,Steger S,Poli T","journal":"IEEE Trans Biomed Eng","doi":"10.1109/TBME.2012.2216879","created_at":"2021-09-30T08:25:40.797Z","updated_at":"2021-09-30T08:25:40.797Z"}],"licence_links":[],"grants":[{"id":5336,"fairsharing_record_id":233,"organisation_id":2115,"relation":"maintains","created_at":"2021-09-30T09:27:23.671Z","updated_at":"2021-09-30T09:27:23.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":2115,"name":"NeoMark Ltd. Trademark Agency, Montreal, Canada","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"234","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:08:26.452Z","metadata":{"doi":"10.25504/FAIRsharing.dx30m8","name":"Emotion Ontology","status":"ready","contacts":[{"contact_name":"Janna Hastings","contact_email":"hastings@ebi.ac.uk","contact_orcid":"0000-0002-3469-4923"}],"homepage":"https://github.com/jannahastings/emotion-ontology","identifier":234,"description":"An ontology of affective phenomena such as emotions, moods, appraisals and subjective feelings, designed to support interdisciplinary research by providing unified annotations. The ontology is a domain specialisation of the broader Mental Functioning Ontology.","abbreviation":"MFOEM","support_links":[{"url":"https://code.google.com/archive/p/emotion-ontology/","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MFOEM","name":"MFOEM","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mfoem.html","name":"mfoem","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002753","bsg-s002753"],"name":"FAIRsharing record for: Emotion Ontology","abbreviation":"MFOEM","url":"https://fairsharing.org/10.25504/FAIRsharing.dx30m8","doi":"10.25504/FAIRsharing.dx30m8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of affective phenomena such as emotions, moods, appraisals and subjective feelings, designed to support interdisciplinary research by providing unified annotations. The ontology is a domain specialisation of the broader Mental Functioning Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Emotion","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1792,"pubmed_id":25937879,"title":"Evaluating the Emotion Ontology through use in the self-reporting of emotional responses at an academic conference.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-38","authors":"Hastings J,Brass A,Caine C,Jay C,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-38","created_at":"2021-09-30T08:25:41.172Z","updated_at":"2021-09-30T08:25:41.172Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1536,"relation":"undefined"}],"grants":[{"id":5338,"fairsharing_record_id":234,"organisation_id":2677,"relation":"maintains","created_at":"2021-09-30T09:27:23.736Z","updated_at":"2021-09-30T09:27:23.736Z","grant_id":null,"is_lead":false,"saved_state":{"id":2677,"name":"Swiss Center for Affective Science, University of Geneva, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5337,"fairsharing_record_id":234,"organisation_id":3025,"relation":"maintains","created_at":"2021-09-30T09:27:23.703Z","updated_at":"2021-09-30T09:27:23.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5339,"fairsharing_record_id":234,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:23.774Z","updated_at":"2021-09-30T09:28:54.999Z","grant_id":14,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/C536444/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7977,"fairsharing_record_id":234,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:30:12.651Z","updated_at":"2021-09-30T09:30:12.700Z","grant_id":600,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J014176/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"236","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.178Z","metadata":{"doi":"10.25504/FAIRsharing.q5tfhf","name":"BioActivity Ontology","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1684","identifier":236,"description":"There is currently no information avauilable on the BioActivity Ontology. Please contact us if you know more about this ontology.","abbreviation":"BIOA","deprecation_date":"2019-07-16","deprecation_reason":"Deprecated as no information is publicly available about this ontology."},"legacy_ids":["bsg-002765","bsg-s002765"],"name":"FAIRsharing record for: BioActivity Ontology","abbreviation":"BIOA","url":"https://fairsharing.org/10.25504/FAIRsharing.q5tfhf","doi":"10.25504/FAIRsharing.q5tfhf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: There is currently no information avauilable on the BioActivity Ontology. Please contact us if you know more about this ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Molecular entity","Bioactivity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"221","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.015Z","metadata":{"doi":"10.25504/FAIRsharing.rycy2x","name":"Adverse Event Reporting ontology","status":"deprecated","contacts":[{"contact_name":"Melanie Courtot","contact_email":"mcourtot@gmail.com","contact_orcid":"0000-0002-9551-6370"}],"homepage":"http://purl.obolibrary.org/obo/aero","identifier":221,"description":"The Adverse Event Reporting Ontology (AERO) is an ontology aimed at supporting clinicians at the time of data entry, increasing quality and accuracy of reported adverse events.","abbreviation":"AERO","support_links":[{"url":"https://groups.google.com/forum/#!forum/aero-devel","type":"Forum"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AERO","name":"AERO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/aero.html","name":"aero","portal":"OBO Foundry"}],"deprecation_date":"2018-05-17","deprecation_reason":"This resource has been deprecated by its developers."},"legacy_ids":["bsg-002710","bsg-s002710"],"name":"FAIRsharing record for: Adverse Event Reporting ontology","abbreviation":"AERO","url":"https://fairsharing.org/10.25504/FAIRsharing.rycy2x","doi":"10.25504/FAIRsharing.rycy2x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adverse Event Reporting Ontology (AERO) is an ontology aimed at supporting clinicians at the time of data entry, increasing quality and accuracy of reported adverse events.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12022},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12457}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science","Preclinical Studies"],"domains":["Electronic health record","Adverse Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1529,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1528,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"222","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T09:09:07.737Z","metadata":{"doi":"10.25504/FAIRsharing.8wm364","name":"Tick Gross Anatomy","status":"deprecated","contacts":[{"contact_name":"Daniel Sonenshine","contact_email":"dsonensh@odu.edu","contact_orcid":"0000-0001-9370-918X"}],"homepage":"https://www.vectorbase.org/ontology-types/tick-anatomy","citations":[],"identifier":222,"description":"This ontology covers all the terms relevant for the gross anatomy of the tick (family Ixodida).","abbreviation":"TADS","support_links":[{"url":"https://www.vectorbase.org/contact","name":"General contact","type":"Contact form"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TADS","name":"TADS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tads.html","name":"tads","portal":"OBO Foundry"}],"deprecation_date":"2022-03-21","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record. "},"legacy_ids":["bsg-000025","bsg-s000025"],"name":"FAIRsharing record for: Tick Gross Anatomy","abbreviation":"TADS","url":"https://fairsharing.org/10.25504/FAIRsharing.8wm364","doi":"10.25504/FAIRsharing.8wm364","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology covers all the terms relevant for the gross anatomy of the tick (family Ixodida).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Ixodida"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":2331,"pubmed_id":18237287,"title":"Anatomical ontologies of mosquitoes and ticks, and their web browsers in VectorBase.","year":2008,"url":"http://doi.org/10.1111/j.1365-2583.2008.00781.x","authors":"Topalis P,Tzavlaki C,Vestaki K,Dialynas E,Sonenshine DE,Butler R,Bruggner RV,Stinson EO,Collins FH,Louis C","journal":"Insect Mol Biol","doi":"10.1111/j.1365-2583.2008.00781.x","created_at":"2021-09-30T08:26:46.202Z","updated_at":"2021-09-30T08:26:46.202Z"}],"licence_links":[],"grants":[{"id":12023,"fairsharing_record_id":222,"organisation_id":4430,"relation":"associated_with","created_at":"2024-07-04T08:52:06.810Z","updated_at":"2024-07-04T08:52:06.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":4430,"name":"Foundation for Research and Technology Hellas","types":["Charitable foundation"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"223","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.657Z","metadata":{"doi":"10.25504/FAIRsharing.evzkcj","name":"PhenomeBLAST ontology","status":"uncertain","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://code.google.com/archive/p/phenomeblast/","identifier":223,"description":"PhenomeBLAST is an ontology-based tool that provides a practical implementation of cross-species alignments of phenotypes using ontologies. Both a command-line tool and a web-server are available.","abbreviation":"phenomeblast-owl","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHENOMEBLAST","name":"PHENOMEBLAST","portal":"BioPortal"}]},"legacy_ids":["bsg-002746","bsg-s002746"],"name":"FAIRsharing record for: PhenomeBLAST ontology","abbreviation":"phenomeblast-owl","url":"https://fairsharing.org/10.25504/FAIRsharing.evzkcj","doi":"10.25504/FAIRsharing.evzkcj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhenomeBLAST is an ontology-based tool that provides a practical implementation of cross-species alignments of phenotypes using ontologies. Both a command-line tool and a web-server are available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Molecular interaction","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1779,"pubmed_id":21737429,"title":"PhenomeNET: a whole-phenome approach to disease gene discovery.","year":2011,"url":"http://doi.org/10.1093/nar/gkr538","authors":"Hoehndorf R,Schofield PN,Gkoutos GV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr538","created_at":"2021-09-30T08:25:39.685Z","updated_at":"2021-09-30T11:29:20.728Z"},{"id":1793,"pubmed_id":22814867,"title":"Computational tools for comparative phenomics: the role and promise of ontologies.","year":2012,"url":"http://doi.org/10.1007/s00335-012-9404-4","authors":"Gkoutos GV,Schofield PN,Hoehndorf R","journal":"Mamm Genome","doi":"10.1007/s00335-012-9404-4","created_at":"2021-09-30T08:25:41.280Z","updated_at":"2021-09-30T08:25:41.280Z"}],"licence_links":[],"grants":[{"id":5318,"fairsharing_record_id":223,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:22.973Z","updated_at":"2021-09-30T09:27:22.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5321,"fairsharing_record_id":223,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:23.082Z","updated_at":"2021-09-30T09:27:23.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9143,"fairsharing_record_id":223,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.244Z","updated_at":"2022-04-11T12:07:17.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9254,"fairsharing_record_id":223,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.644Z","updated_at":"2022-04-11T12:07:25.644Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"224","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.211Z","metadata":{"doi":"10.25504/FAIRsharing.7s74s8","name":"Sleep Domain Ontology","status":"ready","contacts":[{"contact_name":"Sivaram Arabandi","contact_email":"sivaram.arabandi@gmail.com","contact_orcid":"0000-0002-2973-6228"}],"homepage":"http://bioportal.bioontology.org/ontologies/1651","identifier":224,"description":"An application ontology for the domain of Sleep Medicine.","abbreviation":"SDO","support_links":[{"url":"https://www.bioontology.org/sites/default/files/Developing%20an%20Application%20Ontology%20for%20Sleep%20Domain%20-%20NCBO%20Webinar%20-%20April%207%2C%202010.pdf","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-002741","bsg-s002741"],"name":"FAIRsharing record for: Sleep Domain Ontology","abbreviation":"SDO","url":"https://fairsharing.org/10.25504/FAIRsharing.7s74s8","doi":"10.25504/FAIRsharing.7s74s8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of Sleep Medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Health Science","Biomedical Science"],"domains":["Sleep","Phenotype","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"225","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.279Z","metadata":{"doi":"10.25504/FAIRsharing.s8nf87","name":"Quadrupedal Gait","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1657","identifier":225,"description":"\"Quadrupedal Gait\" is a standard that was, until recently, listed on BioPortal. The entry there has now been deleted and we have been unable to find any record of this standard. If you know more, please do not hesitate to contact us.","abbreviation":"CAMRQ","deprecation_date":"2021-09-30","deprecation_reason":"No information can be found on this record."},"legacy_ids":["bsg-002747","bsg-s002747"],"name":"FAIRsharing record for: Quadrupedal Gait","abbreviation":"CAMRQ","url":"https://fairsharing.org/10.25504/FAIRsharing.s8nf87","doi":"10.25504/FAIRsharing.s8nf87","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Quadrupedal Gait\" is a standard that was, until recently, listed on BioPortal. The entry there has now been deleted and we have been unable to find any record of this standard. If you know more, please do not hesitate to contact us.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"226","type":"fairsharing_records","attributes":{"created_at":"2018-10-04T10:52:09.000Z","updated_at":"2021-11-24T13:16:13.177Z","metadata":{"doi":"10.25504/FAIRsharing.f2658b","name":"Table Schema","status":"ready","homepage":"http://frictionlessdata.io/specs/table-schema/","identifier":226,"description":"Table Schema is a simple language- and implementation-agnostic way to declare a schema for tabular data. Table Schema is well suited for use cases around handling and validating tabular data in text formats such as CSV, but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format.","abbreviation":"Table Schema","support_links":[{"url":"https://discuss.okfn.org/c/frictionless-data","name":"Frictionless Data Forum","type":"Forum"},{"url":"http://frictionlessdata.io/data-packages/","name":"Data Packages Explained","type":"Help documentation"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/frictionlessdata/tableschema-js","name":"JavaScript library"},{"url":"https://github.com/frictionlessdata/tableschema-py","name":"Python library"}]},"legacy_ids":["bsg-001301","bsg-s001301"],"name":"FAIRsharing record for: Table Schema","abbreviation":"Table Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.f2658b","doi":"10.25504/FAIRsharing.f2658b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Table Schema is a simple language- and implementation-agnostic way to declare a schema for tabular data. Table Schema is well suited for use cases around handling and validating tabular data in text formats such as CSV, but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United Kingdom","Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1825,"relation":"undefined"}],"grants":[{"id":5322,"fairsharing_record_id":226,"organisation_id":1063,"relation":"maintains","created_at":"2021-09-30T09:27:23.124Z","updated_at":"2021-09-30T09:27:23.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":1063,"name":"Frictionless Data, Open Knowledge International, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"252","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:59.000Z","updated_at":"2022-07-20T12:34:25.942Z","metadata":{"doi":"10.25504/FAIRsharing.lXAOu2","name":"FAIR Maturity Indicator Gen2-MI-F2B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F2B.md","identifier":252,"description":"The FAIR Maturity Indicator Gen2-MI-F2B measures whether the metadata of the record contains \"structured\" elements that are \"grounded\" in shared vocabularies. For example, in one of the various forms of linked data (JSON-LD, RDFa, Turtle, etc.)","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001375","bsg-s001375"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F2B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.lXAOu2","doi":"10.25504/FAIRsharing.lXAOu2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F2B measures whether the metadata of the record contains \"structured\" elements that are \"grounded\" in shared vocabularies. For example, in one of the various forms of linked data (JSON-LD, RDFa, Turtle, etc.)","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13167},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13208},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13228},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13258},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13274},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20169}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1486,"relation":"undefined"}],"grants":[{"id":5376,"fairsharing_record_id":252,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:25.178Z","updated_at":"2021-09-30T09:27:25.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5377,"fairsharing_record_id":252,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:25.259Z","updated_at":"2021-09-30T09:27:25.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5378,"fairsharing_record_id":252,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:25.297Z","updated_at":"2021-09-30T09:27:25.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5379,"fairsharing_record_id":252,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:25.329Z","updated_at":"2021-09-30T09:27:25.329Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"253","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:10.334Z","metadata":{"doi":"10.25504/FAIRsharing.xbvhg2","name":"Scalable Vector Graphics","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"www-svg@w3.org"}],"homepage":"http://www.w3.org/TR/SVG/","identifier":253,"description":"Scalable Vector Graphics (SVG) Version 1.1, a modularized language for describing two-dimensional vector and mixed vector/raster graphics in XML.","abbreviation":"SVG","support_links":[{"url":"https://en.wikipedia.org/wiki/Scalable_Vector_Graphics","type":"Wikipedia"}],"year_creation":1998},"legacy_ids":["bsg-000266","bsg-s000266"],"name":"FAIRsharing record for: Scalable Vector Graphics","abbreviation":"SVG","url":"https://fairsharing.org/10.25504/FAIRsharing.xbvhg2","doi":"10.25504/FAIRsharing.xbvhg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Scalable Vector Graphics (SVG) Version 1.1, a modularized language for describing two-dimensional vector and mixed vector/raster graphics in XML.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18266}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Graph","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5380,"fairsharing_record_id":253,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:25.362Z","updated_at":"2021-09-30T09:27:25.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"254","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.438Z","metadata":{"doi":"10.25504/FAIRsharing.sec0c9","name":"Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Osamu Ohara","contact_email":"oosamu@rcai.riken.jp"}],"homepage":"http://web16.kazusa.or.jp/rapid/","identifier":254,"description":"RAPID phenotype ontology presents controlled vocabulary of ontology class structures and entities of observed phenotypic terms for primary immunodeficiency diseases (PIDs) that facilitate global sharing and free exchange of PID data with users’ communities","abbreviation":"RAPID Phenotype Ontology","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RAPID","name":"RAPID","portal":"BioPortal"}]},"legacy_ids":["bsg-002828","bsg-s002828"],"name":"FAIRsharing record for: Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","abbreviation":"RAPID Phenotype Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.sec0c9","doi":"10.25504/FAIRsharing.sec0c9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RAPID phenotype ontology presents controlled vocabulary of ontology class structures and entities of observed phenotypic terms for primary immunodeficiency diseases (PIDs) that facilitate global sharing and free exchange of PID data with users’ communities","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1780,"pubmed_id":18842635,"title":"RAPID: Resource of Asian Primary Immunodeficiency Diseases.","year":2008,"url":"http://doi.org/10.1093/nar/gkn682","authors":"Keerthikumar S,Raju R,Kandasamy K,Hijikata A,Ramabadran S,Balakrishnan L,Ahmed M,Rani S,Selvan LD,Somanathan DS,Ray S,Bhattacharjee M,Gollapudi S,Ramachandra YL,Bhadra S,Bhattacharyya C,Imai K,Nonoyama S,Kanegane H,Miyawaki T,Pandey A,Ohara O,Mohan S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn682","created_at":"2021-09-30T08:25:39.793Z","updated_at":"2021-09-30T11:29:20.819Z"}],"licence_links":[],"grants":[{"id":5381,"fairsharing_record_id":254,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:27:25.421Z","updated_at":"2021-09-30T09:27:25.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"255","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.935Z","metadata":{"doi":"10.25504/FAIRsharing.np643r","name":"Guidelines for Information About Therapy Experiments","status":"ready","contacts":[{"contact_name":"Alejandra Gonzalez-Beltran","contact_email":"alejandra.gonzalez.beltran@gmail.com","contact_orcid":"0000-0003-3499-8262"}],"homepage":"http://www.antibodysociety.org/","identifier":255,"description":"Guidelines for Information About Therapy Experiments (GIATE)is a minimum information checklist creating a consistent framework to transparently report the purpose, methods and results of the therapeutic experiments.","abbreviation":"GIATE","year_creation":2011},"legacy_ids":["bsg-000163","bsg-s000163"],"name":"FAIRsharing record for: Guidelines for Information About Therapy Experiments","abbreviation":"GIATE","url":"https://fairsharing.org/10.25504/FAIRsharing.np643r","doi":"10.25504/FAIRsharing.np643r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Guidelines for Information About Therapy Experiments (GIATE)is a minimum information checklist creating a consistent framework to transparently report the purpose, methods and results of the therapeutic experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11581},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11980}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Cancer","Antibody","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":887,"pubmed_id":21473938,"title":"Establishing a knowledge trail from molecular experiments to clinical trials.","year":2011,"url":"http://doi.org/10.1016/j.nbt.2011.03.016","authors":"Yong MY,Gonzalez-Beltran A,Begent R","journal":"N Biotechnol","doi":"10.1016/j.nbt.2011.03.016","created_at":"2021-09-30T08:23:57.948Z","updated_at":"2021-09-30T08:23:57.948Z"},{"id":1069,"pubmed_id":19224941,"title":"Data standards for minimum information collection for antibody therapy experiments","year":2009,"url":"http://doi.org/10.1093/protein/gzp003","authors":"M. Yong, B. Tolner, S. Nagl, R.B. Pedly, K. Chester, A.J. Green, A. Mayer, S. Sharma, R. Begent.","journal":"Protein, Engineering, Design and Selection","doi":"10.1093/protein/gzp003","created_at":"2021-09-30T08:24:18.381Z","updated_at":"2021-09-30T08:24:18.381Z"},{"id":1070,"pubmed_id":21062155,"title":"Best use of experimental data in cancer informatics","year":2010,"url":"http://doi.org/10.2217/fon.10.108","authors":"M. Yong, R. Begent.","journal":"Future Oncology","doi":"10.2217/fon.10.108","created_at":"2021-09-30T08:24:18.491Z","updated_at":"2021-09-30T08:24:18.491Z"},{"id":1071,"pubmed_id":null,"title":"Meeting Report from the Second “Minimum Information for Biological and Biomedical Investigations” (MIBBI) workshop","year":2010,"url":"http://doi.org/10.4056/sigs.1473621","authors":"Carsten Kettner, Dawn Field, Susanna Sansone, Chris Taylor, Jan Aerts, Nigel Binns, Andrew Black, Cedrik M. Britten, Ario de Marco, Jennifer Fostel, Pascale Gaudet, Alejandra González-Beltrán, Nigel Hardy, Jan Hellmans, Hennin Hermjakob, Nick Juty, Jim Leebens-Mack, Eamonn Maguire, Steffen Neumann, Sandra Orchard, Helen Parkinson, William Piel, Shoba Ranganathan, Philippe Rocca-Serra, Annapaola Santarsiero, David Shotton, Peter Sterk, Andreas Untergasser, Patricia L. Whetzel","journal":"Standards in Genomic Sciences","doi":"10.4056/sigs.1473621","created_at":"2021-09-30T08:24:18.597Z","updated_at":"2021-09-30T11:28:31.823Z"},{"id":1806,"pubmed_id":22226027,"title":"Guidelines for information about therapy experiments: a proposal on best practice for recording experimental data on cancer therapy.","year":2012,"url":"http://doi.org/10.1186/1756-0500-5-10","authors":"Gonzalez-Beltran AN,Yong MY,Dancey G,Begent R","journal":"BMC Res Notes","doi":"10.1186/1756-0500-5-10","created_at":"2021-09-30T08:25:42.754Z","updated_at":"2021-09-30T08:25:42.754Z"}],"licence_links":[],"grants":[{"id":5384,"fairsharing_record_id":255,"organisation_id":2885,"relation":"funds","created_at":"2021-09-30T09:27:25.503Z","updated_at":"2021-09-30T09:27:25.503Z","grant_id":null,"is_lead":false,"saved_state":{"id":2885,"name":"UCL Experimental Cancer Medicine Centre (ECMC)","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5383,"fairsharing_record_id":255,"organisation_id":101,"relation":"maintains","created_at":"2021-09-30T09:27:25.478Z","updated_at":"2021-09-30T09:27:25.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":101,"name":"Antibody Society; GIATE working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5385,"fairsharing_record_id":255,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:25.573Z","updated_at":"2021-09-30T09:31:02.600Z","grant_id":990,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"G0802528","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"217","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:15:12.246Z","metadata":{"doi":"10.25504/FAIRsharing.gaegy8","name":"MIAME Notation in Markup Language","status":"ready","contacts":[{"contact_name":"GEO Administrators","contact_email":"geo@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/geo/info/MINiML.html","identifier":217,"description":"MINiML (MIAME Notation in Markup Language, pronounced 'minimal') is a data exchange format optimized for microarray gene expression data, as well as many other types of high-throughput molecular abundance data. MINiML assumes only very basic relations between objects: Platform (e.g., array), Sample (e.g., hybridization), and Series (experiment). MINiML captures all components of the MIAME checklist, as well as any additional information that the submitter wants to provide. MINiML uses XML Schema as syntax.","abbreviation":"MINiML","support_links":[{"url":"https://www.ncbi.nlm.nih.gov/geo/info/MINiML.html#guidelines","name":"Guidelines","type":"Help documentation"}]},"legacy_ids":["bsg-000076","bsg-s000076"],"name":"FAIRsharing record for: MIAME Notation in Markup Language","abbreviation":"MINiML","url":"https://fairsharing.org/10.25504/FAIRsharing.gaegy8","doi":"10.25504/FAIRsharing.gaegy8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINiML (MIAME Notation in Markup Language, pronounced 'minimal') is a data exchange format optimized for microarray gene expression data, as well as many other types of high-throughput molecular abundance data. MINiML assumes only very basic relations between objects: Platform (e.g., array), Sample (e.g., hybridization), and Series (experiment). MINiML captures all components of the MIAME checklist, as well as any additional information that the submitter wants to provide. MINiML uses XML Schema as syntax.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11191},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12407}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science"],"domains":["Expression data","Assay","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8728,"fairsharing_record_id":217,"organisation_id":1960,"relation":"maintains","created_at":"2022-01-18T14:36:02.275Z","updated_at":"2022-01-18T14:36:02.275Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5307,"fairsharing_record_id":217,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:22.522Z","updated_at":"2021-09-30T09:27:22.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"218","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:16.936Z","metadata":{"doi":"10.25504/FAIRsharing.p6412v","name":"Epilepsy Ontology","status":"deprecated","contacts":[{"contact_name":"Antonio Dourado","contact_email":"dourado@dei.uc.pt","contact_orcid":"0000-0002-5445-6893"}],"homepage":"http://www.epilepsiae.eu/","citations":[],"identifier":218,"description":"Ontology about the epilepsy domain and epileptic seizures. Based on the diagnosis proposed by the International League Against Epilepsy (ILAE).","abbreviation":"Epilepsy Ontology","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EPILONT","name":"EPILONT","portal":"BioPortal"}],"deprecation_date":"2024-06-13","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002732","bsg-s002732"],"name":"FAIRsharing record for: Epilepsy Ontology","abbreviation":"Epilepsy Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.p6412v","doi":"10.25504/FAIRsharing.p6412v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology about the epilepsy domain and epileptic seizures. Based on the diagnosis proposed by the International League Against Epilepsy (ILAE).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Epilepsy","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Portugal"],"publications":[],"licence_links":[],"grants":[{"id":5308,"fairsharing_record_id":218,"organisation_id":480,"relation":"maintains","created_at":"2021-09-30T09:27:22.559Z","updated_at":"2021-09-30T09:27:22.559Z","grant_id":null,"is_lead":false,"saved_state":{"id":480,"name":"Centro de Informatica e Sistemas da Universidade de Coimbra (CISUC), Coimbra, Portugal","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"219","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:25:53.740Z","metadata":{"doi":"10.25504/FAIRsharing.kj3m5n","name":"Hymenoptera Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Andrew R Deans","contact_email":"andy_deans@ncsu.edu","contact_orcid":"0000-0002-2119-4663"}],"homepage":"http://portal.hymao.org/projects/32/public/ontology/","citations":[],"identifier":219,"description":"The Hymenoptera Anatomy Ontology is a structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, and ants)","abbreviation":"HAO","support_links":[{"url":"diapriid@gmail.com","type":"Support email"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HAO","name":"HAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/hao.html","name":"hao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000023","bsg-s000023"],"name":"FAIRsharing record for: Hymenoptera Anatomy Ontology","abbreviation":"HAO","url":"https://fairsharing.org/10.25504/FAIRsharing.kj3m5n","doi":"10.25504/FAIRsharing.kj3m5n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hymenoptera Anatomy Ontology is a structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, and ants)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Image"],"taxonomies":["Hymenoptera"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2,"pubmed_id":21209921,"title":"A gross anatomy ontology for hymenoptera.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0015991","authors":"Yoder MJ, Miko I, Seltmann KC, Bertone MA, Deans AR","journal":"PLoS ONE","doi":"10.1371/journal.pone.0015991","created_at":"2021-09-30T08:22:20.797Z","updated_at":"2021-09-30T08:22:20.797Z"}],"licence_links":[],"grants":[{"id":5309,"fairsharing_record_id":219,"organisation_id":1897,"relation":"maintains","created_at":"2021-09-30T09:27:22.592Z","updated_at":"2021-09-30T09:27:22.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1897,"name":"MorphBank, Tallahassee, FL, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5311,"fairsharing_record_id":219,"organisation_id":1294,"relation":"maintains","created_at":"2021-09-30T09:27:22.642Z","updated_at":"2021-09-30T09:27:22.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":1294,"name":"Hymenoptera Anatomy Ontology (HAO) administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5313,"fairsharing_record_id":219,"organisation_id":1521,"relation":"maintains","created_at":"2021-09-30T09:27:22.702Z","updated_at":"2021-09-30T09:27:22.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":1521,"name":"International Society of Hymenopterists (ISH)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5310,"fairsharing_record_id":219,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:22.617Z","updated_at":"2021-09-30T09:31:32.101Z","grant_id":1213,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0850223","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"220","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:33:28.121Z","metadata":{"doi":"10.25504/FAIRsharing.4g8mkg","name":"Health Indicators Ontology","status":"deprecated","contacts":[{"contact_name":"Anya Okhmatovskaia","contact_email":"okhmatovskaia@gmail.com"}],"homepage":"http://surveillance.mcgill.ca/wiki/Health%20Indicators%20Ontology","citations":[],"identifier":220,"description":"Health Indicators Ontology is an ontology of a number of health related indicator terms and description as well as health status classifications.","abbreviation":null,"year_creation":2004,"deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002711","bsg-s002711"],"name":"FAIRsharing record for: Health Indicators Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4g8mkg","doi":"10.25504/FAIRsharing.4g8mkg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Health Indicators Ontology is an ontology of a number of health related indicator terms and description as well as health status classifications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1037,"pubmed_id":16181619,"title":"A pilot ontological model of public health indicators.","year":2005,"url":"http://doi.org/10.1016/j.compbiomed.2005.07.003","authors":"Surjan G,Szilagyi E,Kovats T","journal":"Comput Biol Med","doi":"10.1016/j.compbiomed.2005.07.003","created_at":"2021-09-30T08:24:14.839Z","updated_at":"2021-09-30T08:24:14.839Z"}],"licence_links":[],"grants":[{"id":5315,"fairsharing_record_id":220,"organisation_id":2669,"relation":"maintains","created_at":"2021-09-30T09:27:22.778Z","updated_at":"2021-09-30T09:27:22.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":2669,"name":"Surveillance Lab, McGill University, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5314,"fairsharing_record_id":220,"organisation_id":28,"relation":"maintains","created_at":"2021-09-30T09:27:22.740Z","updated_at":"2021-09-30T09:27:22.740Z","grant_id":null,"is_lead":false,"saved_state":{"id":28,"name":"Adverse-Event-Reporting-Ontology (AERO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"227","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.968Z","metadata":{"doi":"10.25504/FAIRsharing.qz0rvm","name":"Variant Effect Predictor data format","status":"ready","contacts":[{"contact_name":"William McLaren","contact_email":"wm2@ebi.ac.uk","contact_orcid":"0000-0001-6218-1116"}],"homepage":"http://www.ensembl.org/info/docs/tools/vep/vep_formats.html","identifier":227,"description":"A text format devised by Ensembl for the eponymous Variant Effect Predictor tool.","abbreviation":"VEP","support_links":[{"url":"http://www.ensembl.org/info/docs/tools/vep/vep_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://tess.elixir-europe.org/materials/ensembl-variant-effect-predictor-vep-webinar","name":"Ensembl variant effect predictor vep webinar","type":"TeSS links to training materials"}]},"legacy_ids":["bsg-000531","bsg-s000531"],"name":"FAIRsharing record for: Variant Effect Predictor data format","abbreviation":"VEP","url":"https://fairsharing.org/10.25504/FAIRsharing.qz0rvm","doi":"10.25504/FAIRsharing.qz0rvm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A text format devised by Ensembl for the eponymous Variant Effect Predictor tool.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":197,"pubmed_id":27268795,"title":"The Ensembl Variant Effect Predictor.","year":2016,"url":"http://doi.org/10.1186/s13059-016-0974-4","authors":"McLaren W,Gil L,Hunt SE,Riat HS,Ritchie GR,Thormann A,Flicek P,Cunningham F","journal":"Genome Biol","doi":"10.1186/s13059-016-0974-4","created_at":"2021-09-30T08:22:41.589Z","updated_at":"2021-09-30T08:22:41.589Z"}],"licence_links":[],"grants":[{"id":5323,"fairsharing_record_id":227,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:23.165Z","updated_at":"2021-09-30T09:29:06.615Z","grant_id":97,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5324,"fairsharing_record_id":227,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:23.203Z","updated_at":"2021-09-30T09:27:23.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5325,"fairsharing_record_id":227,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:23.241Z","updated_at":"2021-09-30T09:29:49.966Z","grant_id":425,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8096,"fairsharing_record_id":227,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:56.313Z","updated_at":"2021-09-30T09:30:56.361Z","grant_id":943,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"222664","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8475,"fairsharing_record_id":227,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:49.307Z","updated_at":"2021-09-30T09:32:49.344Z","grant_id":1791,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT095908","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"229","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.105Z","metadata":{"doi":"10.25504/FAIRsharing.jgbxr","name":"Tox Biology Checklist","status":"uncertain","contacts":[{"contact_name":"Jennifer Fostel","contact_email":"fostel@niehs.nih.gov"}],"homepage":"http://mibbi.sf.net/projects/TBC.shtml","identifier":229,"description":"The Tox Biology Checklist was created to describe information that should be included with data derived from a biological study. The exact details of the checklist information depend on the study design and the nature of the subjects used in the study. In broad terms, this checklist recognizes that study data can be best interpreted in context of the subject characteristics, the conditions used to treat or collect the subjects, the conditions of care and disposition, and the timeline of study execution. Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked its status as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"TBC","year_creation":2007},"legacy_ids":["bsg-000193","bsg-s000193"],"name":"FAIRsharing record for: Tox Biology Checklist","abbreviation":"TBC","url":"https://fairsharing.org/10.25504/FAIRsharing.jgbxr","doi":"10.25504/FAIRsharing.jgbxr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Tox Biology Checklist was created to describe information that should be included with data derived from a biological study. The exact details of the checklist information depend on the study design and the nature of the subjects used in the study. In broad terms, this checklist recognizes that study data can be best interpreted in context of the subject characteristics, the conditions used to treat or collect the subjects, the conditions of care and disposition, and the timeline of study execution. Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked its status as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11603},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12089},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16656}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicology","Life Science"],"domains":["Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":882,"pubmed_id":17442663,"title":"Toward a checklist for exchange and interpretation of data from a toxicology study.","year":2007,"url":"http://doi.org/10.1093/toxsci/kfm090","authors":"Fostel JM,Burgoon L,Zwickl C,Lord P,Corton JC,Bushel PR,Cunningham M,Fan L,Edwards SW,Hester S,Stevens J,Tong W,Waters M,Yang C,Tennant R","journal":"Toxicol Sci","doi":"10.1093/toxsci/kfm090","created_at":"2021-09-30T08:23:57.354Z","updated_at":"2021-09-30T08:23:57.354Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"230","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T10:12:20.271Z","metadata":{"doi":"10.25504/FAIRsharing.66q7yz","name":"Web-Service Interaction Ontology","status":"ready","contacts":[{"contact_name":"Matus Kalas","contact_email":"matus.kalas@uib.no"}],"homepage":"http://wsio.org/","identifier":230,"description":"Web Service Interaction Ontology (WSIO) enables automated interaction with more complex Web services that are typical for example within life sciences. WSIO is however independent of the application domain and relevant for both SOAP and REST Web services, and for batch execution engines in general.","abbreviation":"WSIO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WSIO","name":"WSIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002729","bsg-s002729"],"name":"FAIRsharing record for: Web-Service Interaction Ontology","abbreviation":"WSIO","url":"https://fairsharing.org/10.25504/FAIRsharing.66q7yz","doi":"10.25504/FAIRsharing.66q7yz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Web Service Interaction Ontology (WSIO) enables automated interaction with more complex Web services that are typical for example within life sciences. WSIO is however independent of the application domain and relevant for both SOAP and REST Web services, and for batch execution engines in general.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[],"grants":[{"id":12026,"fairsharing_record_id":230,"organisation_id":4432,"relation":"maintains","created_at":"2024-07-04T09:58:56.206Z","updated_at":"2024-07-04T09:58:56.206Z","grant_id":null,"is_lead":true,"saved_state":{"id":4432,"name":"University of Bergen, Department of Informatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"238","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:47:53.306Z","metadata":{"doi":"10.25504/FAIRsharing.6bc7h9","name":"Sequence Ontology","status":"ready","contacts":[{"contact_name":"Karen Eilbeck","contact_email":"keilbeck@fruitfly.org","contact_orcid":"0000-0002-0831-6427"}],"homepage":"http://www.sequenceontology.org/","citations":[{"doi":"10.1186/gb-2005-6-5-r44","pubmed_id":15892872,"publication_id":575}],"identifier":238,"description":"SO is a collaborative ontology project for the definition of sequence features used in biological sequence annotation. The Sequence Ontology is a set of terms and relationships used to describe the features and attributes of biological sequence. SO includes different kinds of features which can be located on the sequence.","abbreviation":"SO","support_links":[{"url":"https://github.com/The-Sequence-Ontology/SO-Ontologies/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"song-devel@lists.sourceforge.net","name":"SO Mailing list","type":"Mailing list"},{"url":"http://www.sequenceontology.org/so_wiki/index.php/Main_Page","name":"SO Wiki Pages","type":"Help documentation"},{"url":"https://github.com/The-Sequence-Ontology/SO-Ontologies","name":"GitHub Repository","type":"Github"}],"year_creation":2004,"associated_tools":[{"url":"https://github.com/The-Sequence-Ontology/GAL","name":"Genome Annotation Library 0.01"},{"url":"https://github.com/The-Sequence-Ontology/SOBA","name":"Sequence Ontology Bioinformatics Analysis"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SO","name":"SO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/so.html","name":"so","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000046","bsg-s000046"],"name":"FAIRsharing record for: Sequence Ontology","abbreviation":"SO","url":"https://fairsharing.org/10.25504/FAIRsharing.6bc7h9","doi":"10.25504/FAIRsharing.6bc7h9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SO is a collaborative ontology project for the definition of sequence features used in biological sequence annotation. The Sequence Ontology is a set of terms and relationships used to describe the features and attributes of biological sequence. SO includes different kinds of features which can be located on the sequence.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10866},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11139},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11923},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16745}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Life Science","Biology"],"domains":["Sequence annotation","Deoxyribonucleic acid","Ribonucleic acid","Sequence","Sequence feature","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":432,"pubmed_id":20796305,"title":"A standard variation file format for human genome sequences.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-8-r88","authors":"Reese MG, Moore B, Batchelor C, Salas F, Cunningham F, Marth GT, Stein L, Flicek P, Yandell M, Eilbeck K.","journal":"Genome Biol.","doi":"10.1186/gb-2010-11-8-r88","created_at":"2021-09-30T08:23:06.983Z","updated_at":"2021-09-30T08:23:06.983Z"},{"id":575,"pubmed_id":15892872,"title":"The Sequence Ontology: a tool for the unification of genome annotations.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r44","authors":"Eilbeck K, Lewis SE, Mungall CJ, Yandell M, Stein L, Durbin R, Ashburner M.","journal":"Genome Biology","doi":"10.1186/gb-2005-6-5-r44","created_at":"2021-09-30T08:23:22.943Z","updated_at":"2021-09-30T08:23:22.943Z"},{"id":578,"pubmed_id":20226267,"title":"Evolution of the Sequence Ontology terms and relationships.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.03.002","authors":"Mungall CJ, Batchelor C, Eilbeck K.","journal":"J Biomed Inform.","doi":"10.1016/j.jbi.2010.03.002","created_at":"2021-09-30T08:23:23.252Z","updated_at":"2021-09-30T08:23:23.252Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1838,"relation":"undefined"}],"grants":[{"id":5343,"fairsharing_record_id":238,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:23.937Z","updated_at":"2021-09-30T09:27:23.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5344,"fairsharing_record_id":238,"organisation_id":2548,"relation":"maintains","created_at":"2021-09-30T09:27:23.970Z","updated_at":"2021-09-30T09:27:23.970Z","grant_id":null,"is_lead":true,"saved_state":{"id":2548,"name":"Sequence Ontology Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5345,"fairsharing_record_id":238,"organisation_id":718,"relation":"maintains","created_at":"2021-09-30T09:27:23.993Z","updated_at":"2021-09-30T09:27:23.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":718,"name":"Department of Human Genetics, University of Utah, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5346,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:24.023Z","updated_at":"2021-09-30T09:28:53.959Z","grant_id":6,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5R01HG004341","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7982,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:30:15.236Z","updated_at":"2021-09-30T09:30:15.327Z","grant_id":623,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"P41HG002273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8191,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:25.589Z","updated_at":"2021-09-30T09:31:25.644Z","grant_id":1164,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"2R44HG002991","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8286,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:54.539Z","updated_at":"2021-09-30T09:31:54.586Z","grant_id":1381,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1RC2HG005619","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8311,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:01.521Z","updated_at":"2021-09-30T09:32:01.574Z","grant_id":1433,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG004341","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8322,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:04.933Z","updated_at":"2021-09-30T09:32:05.023Z","grant_id":1460,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"2R44HG003667","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"237","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:00:49.860Z","metadata":{"doi":"10.25504/FAIRsharing.3ngg40","name":"Plant Ontology","status":"ready","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu","contact_orcid":"0000-0002-1005-8383"}],"homepage":"http://plantontology.org/","identifier":237,"description":"The Plant Ontology is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. The PO is under active development to expand to encompass terms and annotations from all plants.","abbreviation":"PO","support_links":[{"url":"http://planteome.org/contact","name":"Contact Planteome / PO","type":"Contact form"},{"url":"https://github.com/Planteome/plant-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://planteome.org/documents","name":"Planteome Documents","type":"Help documentation"},{"url":"https://github.com/Planteome/plant-ontology","name":"GitHub Repository","type":"Github"},{"url":"http://wiki.plantontology.org/index.php/Main_Page","name":"Plant Ontology Wiki","type":"Help documentation"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PO","name":"PO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/po.html","name":"po","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000029","bsg-s000029"],"name":"FAIRsharing record for: Plant Ontology","abbreviation":"PO","url":"https://fairsharing.org/10.25504/FAIRsharing.3ngg40","doi":"10.25504/FAIRsharing.3ngg40","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Ontology is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. The PO is under active development to expand to encompass terms and annotations from all plants.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17574},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14550}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science","Plant Anatomy"],"domains":["Expression data","Plant development stage","Life cycle"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":968,"pubmed_id":18629207,"title":"Plant Ontology (PO): a Controlled Vocabulary of Plant Structures and Growth Stages.","year":2008,"url":"http://doi.org/10.1002/cfg.496","authors":"Jaiswal P,Avraham S,Ilic K,Kellogg EA,McCouch S,Pujar A,Reiser L,Rhee SY,Sachs MM,Schaeffer M,Stein L,Stevens P,Vincent L,Ware D,Zapata F","journal":"Comp Funct Genomics","doi":"10.1002/cfg.496","created_at":"2021-09-30T08:24:07.096Z","updated_at":"2021-09-30T08:24:07.096Z"},{"id":982,"pubmed_id":18628842,"title":"The Plant Ontology Consortium and plant ontologies.","year":2008,"url":"http://doi.org/10.1002/cfg.154","authors":"The Plant Ontology Consortium","journal":"Comp Funct Genomics","doi":"10.1002/cfg.154","created_at":"2021-09-30T08:24:08.646Z","updated_at":"2021-09-30T11:28:31.505Z"},{"id":1161,"pubmed_id":26519402,"title":"The Plant Ontology: A Tool for Plant Genomics.","year":2015,"url":"http://doi.org/10.1007/978-1-4939-3167-5_5","authors":"Cooper L,Jaiswal P","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-3167-5_5","created_at":"2021-09-30T08:24:29.098Z","updated_at":"2021-09-30T08:24:29.098Z"},{"id":1695,"pubmed_id":23220694,"title":"The plant ontology as a tool for comparative plant anatomy and genomic analyses.","year":2012,"url":"http://doi.org/10.1093/pcp/pcs163","authors":"Cooper L,Walls RL,Elser J,Gandolfo MA,Stevenson DW,Smith B,Preece J,Athreya B,Mungall CJ,Rensing S,Hiss M,Lang D,Reski R,Berardini TZ,Li D,Huala E,Schaeffer M,Menda N,Arnaud E,Shrestha R,Yamazaki Y,Jaiswal P","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcs163","created_at":"2021-09-30T08:25:29.995Z","updated_at":"2021-09-30T08:25:29.995Z"},{"id":1809,"pubmed_id":18194960,"title":"The Plant Ontology Database: a community resource for plant structure and developmental stages controlled vocabulary and annotations.","year":2008,"url":"http://doi.org/10.1093/nar/gkm908","authors":"Avraham S,Tung CW,Ilic K,Jaiswal P,Kellogg EA,McCouch S,Pujar A,Reiser L,Rhee SY,Sachs MM,Schaeffer M,Stein L,Stevens P,Vincent L,Zapata F,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm908","created_at":"2021-09-30T08:25:43.061Z","updated_at":"2021-09-30T11:29:21.185Z"},{"id":2168,"pubmed_id":25562316,"title":"Finding our way through phenotypes.","year":2015,"url":"http://doi.org/10.1371/journal.pbio.1002033","authors":"Deans AR,Lewis SE,Huala E,Anzaldo SS,Ashburner M,Balhoff JP,Blackburn DC,Blake JA,Burleigh JG,Chanet B,Cooper LD,Courtot M,Csosz S,Cui H,Dahdul W,Das S,Dececchi TA,Dettai A,Diogo R,Druzinsky RE,Dumontier M,Franz NM,Friedrich F,Gkoutos GV,Haendel M,Harmon LJ,Hayamizu TF,He Y,Hines HM,Ibrahim N,Jackson LM,Jaiswal P,James-Zorn C,Kohler S,Lecointre G,Lapp H,Lawrence CJ,Le Novere N,Lundberg JG,Macklin J,Mast AR,Midford PE,Miko I,Mungall CJ,Oellrich A,Osumi-Sutherland D,Parkinson H,Ramirez MJ,Richter S,Robinson PN,Ruttenberg A,Schulz KS,Segerdell E,Seltmann KC,Sharkey MJ,Smith AD,Smith B,Specht CD,Squires RB,Thacker RW,Thessen A,Fernandez-Triana J,Vihinen M,Vize PD,Vogt L,Wall CE,Walls RL,Westerfeld M,Wharton RA,Wirkner CS,Woolley JB,Yoder MJ,Zorn AM,Mabee P","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1002033","created_at":"2021-09-30T08:26:24.351Z","updated_at":"2021-09-30T08:26:24.351Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1664,"relation":"undefined"}],"grants":[{"id":5342,"fairsharing_record_id":237,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:23.899Z","updated_at":"2021-09-30T09:30:01.096Z","grant_id":515,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0822201","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5340,"fairsharing_record_id":237,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:27:23.816Z","updated_at":"2021-09-30T09:27:23.816Z","grant_id":null,"is_lead":true,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5341,"fairsharing_record_id":237,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:27:23.858Z","updated_at":"2021-09-30T09:27:23.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"403","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T15:34:16.000Z","updated_at":"2023-10-03T09:53:49.265Z","metadata":{"doi":"10.25504/FAIRsharing.x8rkjt","name":"MIAPE: Column Chromatography","status":"ready","contacts":[{"contact_name":"Andrew R Jones","contact_email":"andrew.jones@liv.ac.uk"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":403,"description":"MIAPE - Column Chromatography (MIAPE-CC) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CC module is the result of work carried out through the Sample Processing Workgroup of the Proteome Standards Initiative. It has been designed to specify a minimal set of information to document a column chromatography experiment.","abbreviation":"MIAPE-CC","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2009},"legacy_ids":["bsg-000611","bsg-s000611"],"name":"FAIRsharing record for: MIAPE: Column Chromatography","abbreviation":"MIAPE-CC","url":"https://fairsharing.org/10.25504/FAIRsharing.x8rkjt","doi":"10.25504/FAIRsharing.x8rkjt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAPE - Column Chromatography (MIAPE-CC) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CC module is the result of work carried out through the Sample Processing Workgroup of the Proteome Standards Initiative. It has been designed to specify a minimal set of information to document a column chromatography experiment.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11447},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12074}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Chromatography","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United Kingdom","United States"],"publications":[{"id":1294,"pubmed_id":20622829,"title":"Guidelines for reporting the use of column chromatography in proteomics.","year":2010,"url":"http://doi.org/10.1038/nbt0710-654a","authors":"Jones AR,Carroll K,Knight D,Maclellan K,Domann PJ,Legido-Quigley C,Huang L,Smallshaw L,Mirzaei H,Shofstahl J,Paton NW","journal":"Nat Biotechnol","doi":"10.1038/nbt0710-654a","created_at":"2021-09-30T08:24:44.417Z","updated_at":"2021-09-30T08:24:44.417Z"}],"licence_links":[],"grants":[{"id":5606,"fairsharing_record_id":403,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:33.242Z","updated_at":"2023-10-03T09:37:23.572Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1FEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ffad1ffec894551300a0430aeb18e83818ab815f/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"404","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:53:22.122Z","metadata":{"doi":"10.25504/FAIRsharing.wkhxc8","name":"Predictive Model Markup Language","status":"ready","contacts":[{"contact_name":"Support","contact_email":"info@dmg.org"}],"homepage":"http://www.dmg.org/v4-2-1/GeneralStructure.html","citations":[],"identifier":404,"description":"PMML (Predictive Model Markup Language) uses XML to represent data mining models. The structure of the models is described by an XML Schema. One or more mining models can be contained in a PMML document. A PMML document is an XML document with a root element of type PMML.","abbreviation":"PMML","support_links":[{"url":"http://www.dmg.org/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://sourceforge.net/p/pmml/discussion/187860/","type":"Forum"},{"url":"pmml-news@lists.sourceforge.net","type":"Mailing list"},{"url":"https://en.wikipedia.org/wiki/Predictive_Model_Markup_Language","type":"Wikipedia"},{"url":"https://twitter.com/DMG_Standards","type":"Twitter"}],"year_creation":1997},"legacy_ids":["bsg-000569","bsg-s000569"],"name":"FAIRsharing record for: Predictive Model Markup Language","abbreviation":"PMML","url":"https://fairsharing.org/10.25504/FAIRsharing.wkhxc8","doi":"10.25504/FAIRsharing.wkhxc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PMML (Predictive Model Markup Language) uses XML to represent data mining models. The structure of the models is described by an XML Schema. One or more mining models can be contained in a PMML document. A PMML document is an XML document with a root element of type PMML.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16905}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Mining"],"domains":["Computational biological predictions"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5607,"fairsharing_record_id":404,"organisation_id":651,"relation":"maintains","created_at":"2021-09-30T09:27:33.272Z","updated_at":"2021-09-30T09:27:33.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":651,"name":"Data Mining Group, Illinois, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"405","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2024-02-01T11:36:21.034Z","metadata":{"doi":"10.25504/FAIRsharing.9y3gv0","name":"Enzyme Structure Function Ontology","status":"deprecated","contacts":[{"contact_name":"Shoshana Brown","contact_email":"sfld-help@cgl.ucsf.edu"}],"homepage":"http://sfld.rbvi.ucsf.edu/archive/django/index.html","citations":[{"doi":"10.1093/database/bax006","pubmed_id":28365730,"publication_id":646}],"identifier":405,"description":"The ESFO provides a new paradigm for organizing enzyme sequence, structure, and function information, whereby specific elements of enzyme sequence and structure are mapped to specific conserved aspects of function, thus facilitating the functional annotation of uncharacterized enzymes. The ESFO helps prevent misannotation by emphasizing annotation of enzymes only at the level of functional granularity warranted by available information. The archive is a static snapshot of the data in the SFLD as of April 2019, and will not be updated","abbreviation":"ESFO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ESFO","name":"ESFO","portal":"BioPortal"}],"deprecation_date":"2024-02-01","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-001061","bsg-s001061"],"name":"FAIRsharing record for: Enzyme Structure Function Ontology","abbreviation":"ESFO","url":"https://fairsharing.org/10.25504/FAIRsharing.9y3gv0","doi":"10.25504/FAIRsharing.9y3gv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ESFO provides a new paradigm for organizing enzyme sequence, structure, and function information, whereby specific elements of enzyme sequence and structure are mapped to specific conserved aspects of function, thus facilitating the functional annotation of uncharacterized enzymes. The ESFO helps prevent misannotation by emphasizing annotation of enzymes only at the level of functional granularity warranted by available information. The archive is a static snapshot of the data in the SFLD as of April 2019, and will not be updated","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12530}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Enzymology","Life Science"],"domains":["Molecular structure","Protein structure","DNA sequence data","Annotation","Function analysis","Enzyme","Sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":646,"pubmed_id":28365730,"title":"Biocuration in the structure-function linkage database: the anatomy of a superfamily.","year":2017,"url":"http://doi.org/10.1093/database/bax006","authors":"Holliday GL,Brown SD,Akiva E,Mischel D,Hicks MA,Morris JH,Huang CC,Meng EC,Pegg SC,Ferrin TE,Babbitt PC","journal":"Database (Oxford)","doi":"10.1093/database/bax006","created_at":"2021-09-30T08:23:31.104Z","updated_at":"2021-09-30T08:23:31.104Z"}],"licence_links":[],"grants":[{"id":5611,"fairsharing_record_id":405,"organisation_id":1159,"relation":"maintains","created_at":"2021-09-30T09:27:33.410Z","updated_at":"2021-09-30T09:27:33.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":1159,"name":"Gladstone Institutes","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5608,"fairsharing_record_id":405,"organisation_id":1280,"relation":"maintains","created_at":"2021-09-30T09:27:33.296Z","updated_at":"2021-09-30T09:27:33.296Z","grant_id":null,"is_lead":false,"saved_state":{"id":1280,"name":"Human Longevity, Inc, San Diego, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5609,"fairsharing_record_id":405,"organisation_id":734,"relation":"maintains","created_at":"2021-09-30T09:27:33.326Z","updated_at":"2021-09-30T09:27:33.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":734,"name":"Department of Pharmaceutical Chemistry, School of Pharmacy, University of California, San Francisco, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5610,"fairsharing_record_id":405,"organisation_id":342,"relation":"maintains","created_at":"2021-09-30T09:27:33.368Z","updated_at":"2021-09-30T09:27:33.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":342,"name":"California Institute for Quantitative Biosciences, University of California, San Francisco, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5612,"fairsharing_record_id":405,"organisation_id":669,"relation":"maintains","created_at":"2021-09-30T09:27:33.449Z","updated_at":"2021-09-30T09:27:33.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":669,"name":"Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"407","type":"fairsharing_records","attributes":{"created_at":"2020-02-04T12:37:42.000Z","updated_at":"2022-07-20T11:59:47.557Z","metadata":{"doi":"10.25504/FAIRsharing.d5ff6e","name":"Sustainable Development Goals Interface Ontology","status":"ready","contacts":[{"contact_name":"Pier Luigi Buttigieg","contact_email":"pier.buttigieg@awi.de","contact_orcid":"0000-0002-4366-3088"}],"homepage":"https://github.com/SDG-InterfaceOntology/sdgio","identifier":407,"description":"The Sustainable Development Goals Interface Ontology (SDGIO) aims to provide a semantic bridge between 1) the Sustainable Development Goals, their targets, and indicators and 2) the large array of entities they refer to. SDGIO will reuse existing ontologies where appropriate.","abbreviation":"SDGIO","support_links":[{"url":"https://github.com/SDG-InterfaceOntology/sdgio/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/SDG-InterfaceOntology/sdgio/wiki","name":"GitHub Wiki","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001448","bsg-s001448"],"name":"FAIRsharing record for: Sustainable Development Goals Interface Ontology","abbreviation":"SDGIO","url":"https://fairsharing.org/10.25504/FAIRsharing.d5ff6e","doi":"10.25504/FAIRsharing.d5ff6e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sustainable Development Goals Interface Ontology (SDGIO) aims to provide a semantic bridge between 1) the Sustainable Development Goals, their targets, and indicators and 2) the large array of entities they refer to. SDGIO will reuse existing ontologies where appropriate.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science"],"domains":["Sustainability"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":894,"pubmed_id":27664130,"title":"The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0097-6","authors":"Buttigieg PL,Pafilis E,Lewis SE,Schildhauer MP,Walls RL,Mungall CJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0097-6","created_at":"2021-09-30T08:23:58.796Z","updated_at":"2021-09-30T08:23:58.796Z"}],"licence_links":[],"grants":[{"id":5613,"fairsharing_record_id":407,"organisation_id":56,"relation":"maintains","created_at":"2021-09-30T09:27:33.485Z","updated_at":"2021-09-30T09:27:33.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5614,"fairsharing_record_id":407,"organisation_id":2926,"relation":"funds","created_at":"2021-09-30T09:27:33.527Z","updated_at":"2021-09-30T09:27:33.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":2926,"name":"United Nations Environment Programme","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"408","type":"fairsharing_records","attributes":{"created_at":"2021-01-31T20:16:55.000Z","updated_at":"2024-03-05T11:56:55.876Z","metadata":{"doi":"10.25504/FAIRsharing.f3efcf","name":"proteomics BAM","status":"ready","contacts":[{"contact_name":"Juan Antonio Vizcaino","contact_email":"juan@ebi.ac.uk"}],"homepage":"http://www.psidev.info/proBAM","citations":[{"doi":"10.1186/s13059-017-1377-x","pubmed_id":29386051,"publication_id":86}],"identifier":408,"description":"The proteomics BAM (proBAM) file format is designed for storing and analyzing peptide spectrum matches (PSMs) within the context of the genome. proBAM is built upon the SAM format and its compressed binary version, BAM, with necessary modifications to accommodate information specific to proteomics data such as PSM scores and confidence, charge states and peptide level modifications, both artefactual and PTMs (post-translational modifications).","abbreviation":"proBAM","support_links":[{"url":"Gerben.Menschaert@UGent.be","name":"Gerben Menschaert","type":"Support email"},{"url":"https://drive.google.com/drive/folders/0B3XI4MHq2yQpc1ZVSkpJa3I2Mmc","name":"Examples of Use","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"http://probam.biobix.be/","name":"proBAMconvert"},{"url":"http://proteogenomics.zhang-lab.org/","name":"proBAMsuite"}]},"legacy_ids":["bsg-001587","bsg-s001587"],"name":"FAIRsharing record for: proteomics BAM","abbreviation":"proBAM","url":"https://fairsharing.org/10.25504/FAIRsharing.f3efcf","doi":"10.25504/FAIRsharing.f3efcf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The proteomics BAM (proBAM) file format is designed for storing and analyzing peptide spectrum matches (PSMs) within the context of the genome. proBAM is built upon the SAM format and its compressed binary version, BAM, with necessary modifications to accommodate information specific to proteomics data such as PSM scores and confidence, charge states and peptide level modifications, both artefactual and PTMs (post-translational modifications).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12135},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19228}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Proteomics","Proteogenomics"],"domains":["Peptide","Spectrum","Post-translational protein modification","Genome"],"taxonomies":["All"],"user_defined_tags":["Peptide-spectrum matching"],"countries":["Belgium","United Kingdom","United States"],"publications":[{"id":86,"pubmed_id":29386051,"title":"The proBAM and proBed standard formats: enabling a seamless integration of genomics and proteomics data.","year":2018,"url":"http://doi.org/10.1186/s13059-017-1377-x","authors":"Menschaert G,Wang X,Jones AR,Ghali F,Fenyo D,Olexiouk V,Zhang B,Deutsch EW,Ternent T,Vizcaino JA","journal":"Genome Biol","doi":"10.1186/s13059-017-1377-x","created_at":"2021-09-30T08:22:29.424Z","updated_at":"2021-09-30T08:22:29.424Z"}],"licence_links":[],"grants":[{"id":5617,"fairsharing_record_id":408,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:33.638Z","updated_at":"2021-09-30T09:27:33.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5620,"fairsharing_record_id":408,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:27:33.739Z","updated_at":"2021-09-30T09:27:33.739Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5615,"fairsharing_record_id":408,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:27:33.585Z","updated_at":"2021-09-30T09:27:33.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5616,"fairsharing_record_id":408,"organisation_id":1420,"relation":"maintains","created_at":"2021-09-30T09:27:33.613Z","updated_at":"2021-09-30T09:27:33.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":1420,"name":"Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5618,"fairsharing_record_id":408,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:33.667Z","updated_at":"2021-09-30T09:27:33.667Z","grant_id":null,"is_lead":true,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5619,"fairsharing_record_id":408,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:27:33.708Z","updated_at":"2021-09-30T09:27:33.708Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5621,"fairsharing_record_id":408,"organisation_id":707,"relation":"maintains","created_at":"2021-09-30T09:27:33.762Z","updated_at":"2021-09-30T09:27:33.762Z","grant_id":null,"is_lead":false,"saved_state":{"id":707,"name":"Department of Epidemiology and Biostatistics, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5622,"fairsharing_record_id":408,"organisation_id":2154,"relation":"maintains","created_at":"2021-09-30T09:27:33.787Z","updated_at":"2021-09-30T09:27:33.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":2154,"name":"New York University Grossman School of Medicine, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"411","type":"fairsharing_records","attributes":{"created_at":"2015-03-03T09:40:22.000Z","updated_at":"2023-11-08T09:31:51.593Z","metadata":{"doi":"10.25504/FAIRsharing.6mhzhj","name":"Consolidated criteria for reporting qualitative research","status":"ready","contacts":[{"contact_name":"Allison Tong","contact_email":"allisont@chw.edu.au","contact_orcid":"0000-0001-8973-9538"}],"homepage":"https://www.equator-network.org/reporting-guidelines/coreq/","citations":[],"identifier":411,"description":"A reporting guideline composed of 32 criteria for qualitative research interviews and focus groups.","abbreviation":"COREQ","support_links":[],"year_creation":2007},"legacy_ids":["bsg-000585","bsg-s000585"],"name":"FAIRsharing record for: Consolidated criteria for reporting qualitative research","abbreviation":"COREQ","url":"https://fairsharing.org/10.25504/FAIRsharing.6mhzhj","doi":"10.25504/FAIRsharing.6mhzhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A reporting guideline composed of 32 criteria for qualitative research interviews and focus groups.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12486}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Health Science","Biomedical Science","Preclinical Studies"],"domains":["Study design"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["Australia"],"publications":[{"id":733,"pubmed_id":17872937,"title":"Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups","year":2007,"url":"http://doi.org/10.1093/intqhc/mzm042","authors":"Allison Tong , Peter Sainsbury , Jonathan Craig","journal":"International Journal for Quality in Health Care","doi":"10.1093/intqhc/mzm042","created_at":"2021-09-30T08:23:40.797Z","updated_at":"2021-09-30T08:23:40.797Z"}],"licence_links":[],"grants":[{"id":5625,"fairsharing_record_id":411,"organisation_id":2897,"relation":"maintains","created_at":"2021-09-30T09:27:33.863Z","updated_at":"2021-09-30T09:27:33.863Z","grant_id":null,"is_lead":false,"saved_state":{"id":2897,"name":"UK Equator Centre, Centre for Statistics in Medicine (CMS) University of Oxford, Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"412","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.471Z","metadata":{"doi":"10.25504/FAIRsharing.ya2wjp","name":"Interaction Ontology","status":"ready","contacts":[{"contact_name":"Carolyn Mattingly","contact_email":"cmattin@mdibl.org","contact_orcid":"0000-0002-2146-9436"}],"homepage":"http://bioportal.bioontology.org/ontologies/1614","identifier":412,"description":"The Interaction ontology (IxnO) was developed to enable curation of chemical-gene and chemical-protein interactions for the Comparative Toxicogenomics Database (CTD). CTD is a freely available resource that aims to promote understanding and novel hypothesis development about the effects of the environment on human health.","abbreviation":"IxnO","support_links":[{"url":"http://ctdbase.org/help/contact.go","type":"Contact form"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IXNO","name":"IXNO","portal":"BioPortal"}]},"legacy_ids":["bsg-002720","bsg-s002720"],"name":"FAIRsharing record for: Interaction Ontology","abbreviation":"IxnO","url":"https://fairsharing.org/10.25504/FAIRsharing.ya2wjp","doi":"10.25504/FAIRsharing.ya2wjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Interaction ontology (IxnO) was developed to enable curation of chemical-gene and chemical-protein interactions for the Comparative Toxicogenomics Database (CTD). CTD is a freely available resource that aims to promote understanding and novel hypothesis development about the effects of the environment on human health.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Medicine","Health Science","Biomedical Science"],"domains":["Chemical-disease association","Chemical-gene association"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5626,"fairsharing_record_id":412,"organisation_id":1808,"relation":"maintains","created_at":"2021-09-30T09:27:33.887Z","updated_at":"2021-09-30T09:27:33.887Z","grant_id":null,"is_lead":false,"saved_state":{"id":1808,"name":"MDI Biological Laboratory, Bar Harbor, ME, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5627,"fairsharing_record_id":412,"organisation_id":572,"relation":"maintains","created_at":"2021-09-30T09:27:33.914Z","updated_at":"2021-09-30T09:27:33.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":572,"name":"Comparative Toxicogenomics Database","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"413","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T13:04:24.000Z","updated_at":"2022-07-20T12:37:04.013Z","metadata":{"doi":"10.25504/FAIRsharing.a6b4fc","name":"Analyze 7.5 File Format","status":"ready","contacts":[{"contact_name":"Info","contact_email":"info@analyzedirect.com"}],"homepage":"http://imaging.mrc-cbu.cam.ac.uk/imaging/FormatAnalyze","identifier":413,"description":"Analyze 7.5 can store voxel-based volumes and consists of two files: One file with the actual data in a binary format with the filename extension .img and another file (header with filename extension .hdr) with information about the data such as voxel size and number of voxel in each dimension.","abbreviation":"Analyze"},"legacy_ids":["bsg-000576","bsg-s000576"],"name":"FAIRsharing record for: Analyze 7.5 File Format","abbreviation":"Analyze","url":"https://fairsharing.org/10.25504/FAIRsharing.a6b4fc","doi":"10.25504/FAIRsharing.a6b4fc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Analyze 7.5 can store voxel-based volumes and consists of two files: One file with the actual data in a binary format with the filename extension .img and another file (header with filename extension .hdr) with information about the data such as voxel size and number of voxel in each dimension.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Bioimaging","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5628,"fairsharing_record_id":413,"organisation_id":93,"relation":"maintains","created_at":"2021-09-30T09:27:33.937Z","updated_at":"2021-09-30T09:27:33.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":93,"name":"AnalyzeDirect, Inc. United States","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5629,"fairsharing_record_id":413,"organisation_id":265,"relation":"maintains","created_at":"2021-09-30T09:27:33.964Z","updated_at":"2021-09-30T09:27:33.964Z","grant_id":null,"is_lead":true,"saved_state":{"id":265,"name":"Biomedical Imaging Resource Core, Mayo Clinic, Rochester, NY, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"414","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:35.504Z","metadata":{"doi":"10.25504/FAIRsharing.z057ar","name":"GenePattern GeneSet Table Format","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"gp-help@broadinstitute.org"}],"homepage":"http://software.broadinstitute.org/cancer/software/genepattern/file-formats-guide","identifier":414,"description":"GenePattern GeneSet Table Format is an analytical tool and file format for the analysis of gene expression and network analysis provided by GenePattern.","abbreviation":null,"support_links":[{"url":"http://software.broadinstitute.org/cancer/software/genepattern/blog","type":"Blog/News"}],"year_creation":2006},"legacy_ids":["bsg-000237","bsg-s000237"],"name":"FAIRsharing record for: GenePattern GeneSet Table Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.z057ar","doi":"10.25504/FAIRsharing.z057ar","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenePattern GeneSet Table Format is an analytical tool and file format for the analysis of gene expression and network analysis provided by GenePattern.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12436}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Expression data","Differential gene expression analysis","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1688,"pubmed_id":16642009,"title":"GenePattern 2.0.","year":2006,"url":"http://doi.org/10.1038/ng0506-500","authors":"Reich M,Liefeld T,Gould J,Lerner J,Tamayo P,Mesirov JP","journal":"Nat Genet","doi":"10.1038/ng0506-500","created_at":"2021-09-30T08:25:29.188Z","updated_at":"2021-09-30T08:25:29.188Z"}],"licence_links":[],"grants":[{"id":5630,"fairsharing_record_id":414,"organisation_id":2748,"relation":"maintains","created_at":"2021-09-30T09:27:33.987Z","updated_at":"2021-09-30T09:27:33.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":2748,"name":"The Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02140, USA.","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5631,"fairsharing_record_id":414,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:27:34.014Z","updated_at":"2021-09-30T09:27:34.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"415","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2021-11-24T13:14:19.881Z","metadata":{"doi":"10.25504/FAIRsharing.wd68xv","name":"Brain Region \u0026 Cell Type Terminology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de","contact_orcid":"0000-0001-8793-2692"}],"homepage":"http://bioportal.bioontology.org/ontologies/BRCT","identifier":415,"description":"The Brain Region and Cell Type terminology (BRCT) describes brain anatomy with a top-down granularity, from gross regions to cell types. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","abbreviation":"BRCT","support_links":[{"url":"http://aetionomy.scai.fhg.de/","name":"Aetionomy Project","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BRCT","name":"BRCT","portal":"BioPortal"}]},"legacy_ids":["bsg-000907","bsg-s000907"],"name":"FAIRsharing record for: Brain Region \u0026 Cell Type Terminology","abbreviation":"BRCT","url":"https://fairsharing.org/10.25504/FAIRsharing.wd68xv","doi":"10.25504/FAIRsharing.wd68xv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Brain Region and Cell Type terminology (BRCT) describes brain anatomy with a top-down granularity, from gross regions to cell types. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Neurobiology","Biomedical Science"],"domains":["Neuron","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5632,"fairsharing_record_id":415,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:34.037Z","updated_at":"2021-09-30T09:27:34.037Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"416","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T13:35:48.000Z","updated_at":"2024-05-09T09:29:00.509Z","metadata":{"doi":"10.25504/FAIRsharing.hrttzm","name":"MetaIO: MetaImage","status":"ready","contacts":[{"contact_name":"Kitware, Inc","contact_email":"kitware@kitware.com"}],"homepage":"https://itk.org/Wiki/ITK/MetaIO/Documentation","citations":[],"identifier":416,"description":"The MHA and MHD file extensions refer to a MetaImage which is part of the MetaIO standard. The MetaImage format supports multi-dimensional images and uses a tag-value text description of the metadata associated with those images. Standard metadata includes the information needed to interpret medical images: image origin, orientation, and size in physical space. This format gained popularity in its used with the Insight Segmentation and Registration Toolkit (ITK). \n* An open-source (Apache 2.0) implementation of the MetaIO standard is available as a C++ library on github: https://github.com/Kitware/MetaIO\n* Via the ITK, MetaIO is also available in javascript, python, and several other languages: https://itk.org/\n* Documentation on MetaIO is available at https://itk.org/Wiki/ITK/MetaIO/Documentation\n\n","abbreviation":"MHA/MHD","support_links":[{"url":"http://www.kitware.com/company/contact_kitware.php","type":"Contact form"},{"url":"http://www.itk.org/ITK/help/mailing.html","type":"Mailing list"},{"url":"https://twitter.com/Kitware","type":"Twitter"},{"url":"https://github.com/Kitware/MetaIO","type":"Github"}],"year_creation":1998,"associated_tools":[{"url":"https://itk.org/","name":"ITK (The Insight Toolkit)"},{"url":"https://www.slicer.org/","name":"3D Slicer"},{"url":"https://vtk.org/","name":"VTK (The Visualization Toolkit)"},{"url":"https://www.paraview.org/","name":"ParaView"}]},"legacy_ids":["bsg-000577","bsg-s000577"],"name":"FAIRsharing record for: MetaIO: MetaImage","abbreviation":"MHA/MHD","url":"https://fairsharing.org/10.25504/FAIRsharing.hrttzm","doi":"10.25504/FAIRsharing.hrttzm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MHA and MHD file extensions refer to a MetaImage which is part of the MetaIO standard. The MetaImage format supports multi-dimensional images and uses a tag-value text description of the metadata associated with those images. Standard metadata includes the information needed to interpret medical images: image origin, orientation, and size in physical space. This format gained popularity in its used with the Insight Segmentation and Registration Toolkit (ITK). \n* An open-source (Apache 2.0) implementation of the MetaIO standard is available as a C++ library on github: https://github.com/Kitware/MetaIO\n* Via the ITK, MetaIO is also available in javascript, python, and several other languages: https://itk.org/\n* Documentation on MetaIO is available at https://itk.org/Wiki/ITK/MetaIO/Documentation\n\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":3044,"relation":"applies_to_content"}],"grants":[{"id":5633,"fairsharing_record_id":416,"organisation_id":1640,"relation":"maintains","created_at":"2021-09-30T09:27:34.064Z","updated_at":"2022-12-22T18:20:20.728Z","grant_id":null,"is_lead":true,"saved_state":{"id":1640,"name":"Kitware, Inc, Clifton Park, New York, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"417","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:38:28.828Z","metadata":{"doi":"10.25504/FAIRsharing.ny6hcb","name":"Situation-Based Access Control","status":"deprecated","contacts":[{"contact_name":"Mor Peleg","contact_email":"morpeleg@is.haifa.ac.il","contact_orcid":"0000-0002-5612-768X"}],"homepage":"http://bioportal.bioontology.org/ontologies/SITBAC?p=summary","citations":[],"identifier":417,"description":"Context-based healthcare access-control policies.","abbreviation":"SitBAC","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SITBAC","name":"SITBAC","portal":"BioPortal"}],"deprecation_date":"2024-05-06","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002623","bsg-s002623"],"name":"FAIRsharing record for: Situation-Based Access Control","abbreviation":"SitBAC","url":"https://fairsharing.org/10.25504/FAIRsharing.ny6hcb","doi":"10.25504/FAIRsharing.ny6hcb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Context-based healthcare access-control policies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12442}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science"],"domains":["Data retrieval","Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":902,"pubmed_id":18511349,"title":"Situation-Based Access Control: privacy management via modeling of patient data access scenarios.","year":2008,"url":"http://doi.org/10.1016/j.jbi.2008.03.014","authors":"Peleg M,Beimel D,Dori D,Denekamp Y","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2008.03.014","created_at":"2021-09-30T08:23:59.637Z","updated_at":"2021-09-30T08:23:59.637Z"}],"licence_links":[],"grants":[{"id":5634,"fairsharing_record_id":417,"organisation_id":3061,"relation":"maintains","created_at":"2021-09-30T09:27:34.087Z","updated_at":"2021-09-30T09:27:34.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":3061,"name":"University of Haifa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"418","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T15:04:28.000Z","updated_at":"2022-02-08T10:40:52.796Z","metadata":{"doi":"10.25504/FAIRsharing.31385c","name":"PED","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#ped","identifier":418,"description":"Original standard text format for sample pedigree information and genotype calls.","abbreviation":"PED"},"legacy_ids":["bsg-001481","bsg-s001481"],"name":"FAIRsharing record for: PED","abbreviation":"PED","url":"https://fairsharing.org/10.25504/FAIRsharing.31385c","doi":"10.25504/FAIRsharing.31385c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Original standard text format for sample pedigree information and genotype calls.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["Biological sample","Genotype"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"391","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:27:38.000Z","updated_at":"2024-02-27T12:20:42.324Z","metadata":{"doi":"10.25504/FAIRsharing.30fk89","name":"Core Scientific MetaData model","status":"ready","contacts":[{"contact_name":"Brian Matthews","contact_email":"brian.matthews@stfc.ac.uk"}],"homepage":"http://icatproject-contrib.github.io/CSMD/","citations":[],"identifier":391,"description":"Capturing high level information about scientific studies and the data that they produce, the CSMD is developed to support data collected within a facility’s scientific workflow. However the model is also designed to be generic across scientific disciplines and has application beyond facilities science, particularly in the “structural sciences” (such as chemistry, material science, earth science, and biochemistry) which are concerned with analysing the structure of substances, and perform systematic experimental analyses on samples of those materials.","abbreviation":"CSMD","support_links":[{"url":"http://icatproject-contrib.github.io/CSMD/CSMD-Introduction.html","name":"CSMD: Short Introduction","type":"Github"},{"url":"http://icatproject-contrib.github.io/CSMD/csmd-4.0.html","name":"CSMD Reference Document (html)","type":"Github"},{"url":"http://icatproject-contrib.github.io/CSMD/CSMD-4.0.pdf","name":"CSMD Reference Document (pdf)","type":"Github"}],"year_creation":2010},"legacy_ids":["bsg-000705","bsg-s000705"],"name":"FAIRsharing record for: Core Scientific MetaData model","abbreviation":"CSMD","url":"https://fairsharing.org/10.25504/FAIRsharing.30fk89","doi":"10.25504/FAIRsharing.30fk89","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Capturing high level information about scientific studies and the data that they produce, the CSMD is developed to support data collected within a facility’s scientific workflow. However the model is also designed to be generic across scientific disciplines and has application beyond facilities science, particularly in the “structural sciences” (such as chemistry, material science, earth science, and biochemistry) which are concerned with analysing the structure of substances, and perform systematic experimental analyses on samples of those materials.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11719}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Biochemistry","Chemistry","Natural Science","Earth Science","Life Science","Materials Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2477,"pubmed_id":null,"title":"Using a Core Scientific Metadata Model in Large-Scale Facilities","year":2010,"url":"https://doi.org/10.2218/ijdc.v5i1.146","authors":"Brian Matthews, Shoaib Sufi, Damian Flannery, Laurent Lerusse, Tom Griffin, Michael Gleaves, Kerstin Kleese","journal":"International Journal of Digital Curation","doi":null,"created_at":"2021-09-30T08:27:03.703Z","updated_at":"2021-09-30T08:27:03.703Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":351,"relation":"undefined"}],"grants":[{"id":11426,"fairsharing_record_id":391,"organisation_id":2519,"relation":"maintains","created_at":"2024-02-27T12:17:45.973Z","updated_at":"2024-02-27T12:17:45.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"392","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-30T13:50:04.032Z","metadata":{"doi":"10.25504/FAIRsharing.9gqfpm","name":"International Harmonization of Nomenclature and Diagnostic criteria","status":"ready","homepage":"http://www.goreni.org/","identifier":392,"description":"Standard reference for nomenclature and diagnostic criteria in toxicologic pathology.","abbreviation":"INHAND","support_links":[{"url":"https://www.goreni.org/gr3_contact.php","type":"Contact form"}]},"legacy_ids":["bsg-000557","bsg-s000557"],"name":"FAIRsharing record for: International Harmonization of Nomenclature and Diagnostic criteria","abbreviation":"INHAND","url":"https://fairsharing.org/10.25504/FAIRsharing.9gqfpm","doi":"10.25504/FAIRsharing.9gqfpm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard reference for nomenclature and diagnostic criteria in toxicologic pathology.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16653}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Disease","Toxicity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","Japan","United Kingdom","United States"],"publications":[{"id":1818,"pubmed_id":20032296,"title":"Proliferative and nonproliferative lesions of the rat and mouse respiratory tract.","year":2010,"url":"http://doi.org/10.1177/0192623309353423","authors":"Renne R,Brix A,Harkema J,Herbert R,Kittel B,Lewis D,March T,Nagano K,Pino M,Rittinghausen S,Rosenbruch M,Tellier P,Wohrmann T","journal":"Toxicol Pathol","doi":"10.1177/0192623309353423","created_at":"2021-09-30T08:25:44.130Z","updated_at":"2021-09-30T08:25:44.130Z"}],"licence_links":[{"licence_name":"goRENI Data Protection","licence_id":360,"licence_url":"https://www.goreni.org/gr3_data_protection.php","link_id":391,"relation":"undefined"}],"grants":[{"id":5577,"fairsharing_record_id":392,"organisation_id":1051,"relation":"funds","created_at":"2021-09-30T09:27:32.178Z","updated_at":"2021-09-30T09:27:32.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1051,"name":"Fraunhofer Item, Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5581,"fairsharing_record_id":392,"organisation_id":1590,"relation":"funds","created_at":"2021-09-30T09:27:32.326Z","updated_at":"2021-09-30T09:27:32.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":1590,"name":"Japanese Society of Toxicologic Pathology (JSTP), Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5579,"fairsharing_record_id":392,"organisation_id":956,"relation":"funds","created_at":"2021-09-30T09:27:32.234Z","updated_at":"2021-09-30T09:27:32.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":956,"name":"European Society for Toxicologic Pathology","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5580,"fairsharing_record_id":392,"organisation_id":2587,"relation":"funds","created_at":"2021-09-30T09:27:32.276Z","updated_at":"2021-09-30T09:27:32.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":2587,"name":"Society of Toxicologic Pathology","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5582,"fairsharing_record_id":392,"organisation_id":322,"relation":"funds","created_at":"2021-09-30T09:27:32.367Z","updated_at":"2021-09-30T09:27:32.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":322,"name":"British Society of Toxicological Pathology","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11750,"fairsharing_record_id":392,"organisation_id":1051,"relation":"maintains","created_at":"2024-04-24T12:53:33.803Z","updated_at":"2024-04-24T12:53:33.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":1051,"name":"Fraunhofer Item, Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"393","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-30T15:49:56.831Z","metadata":{"doi":"10.25504/FAIRsharing.gneqg7","name":"Minimal Information about a Self-Monitoring Experiment","status":"deprecated","contacts":[{"contact_name":"Guillermo Lopez Campos","contact_email":"guillermo.lopez@unimelb.edu.au"}],"homepage":"http://healthinformatics.unimelb.edu.au/","citations":[],"identifier":393,"description":"This is reporting guideline for self-monitoring and quantified-self experiments and their use for research purposes","abbreviation":"MISME","deprecation_date":"2023-03-30","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n"},"legacy_ids":["bsg-000556","bsg-s000556"],"name":"FAIRsharing record for: Minimal Information about a Self-Monitoring Experiment","abbreviation":"MISME","url":"https://fairsharing.org/10.25504/FAIRsharing.gneqg7","doi":"10.25504/FAIRsharing.gneqg7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is reporting guideline for self-monitoring and quantified-self experiments and their use for research purposes","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Health Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Self-monitoring","Self-quantification"],"countries":["Australia"],"publications":[{"id":642,"pubmed_id":25000020,"title":"Proposal for a Standardised Reporting Guideline to Annotate Health-related Self-Quantification Experiments","year":2014,"url":"https://www.ncbi.nlm.nih.gov/pubmed/25000020","authors":"Lopez-Campos GH, Almalki M, Martin-Sanchez F","journal":"Stud Health Technol Inform.","doi":null,"created_at":"2021-09-30T08:23:30.669Z","updated_at":"2021-09-30T08:23:30.669Z"}],"licence_links":[],"grants":[{"id":5584,"fairsharing_record_id":393,"organisation_id":3090,"relation":"maintains","created_at":"2021-09-30T09:27:32.442Z","updated_at":"2021-09-30T09:27:32.442Z","grant_id":null,"is_lead":false,"saved_state":{"id":3090,"name":"University of Melbourne","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5583,"fairsharing_record_id":393,"organisation_id":2397,"relation":"maintains","created_at":"2021-09-30T09:27:32.405Z","updated_at":"2021-09-30T09:27:32.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":2397,"name":"Queen's University Belfast","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"394","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:10.153Z","metadata":{"doi":"10.25504/FAIRsharing.ny9vnm","name":"Flora Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://github.com/flora-phenotype-ontology/flopoontology","citations":[],"identifier":394,"description":"The Flora Phenotype Ontology is a domain ontology for the description of plant characters. FLOPO contains more than 25000 phenotype and traits classes, the creation of FLOPO is data-driven: For each trait/phenotype class exists a taxon annotation in the underlying Floras.","abbreviation":"FLOPO","support_links":[{"url":"leechuck@leechuck.de","name":"leechuck@leechuck.de","type":"Support email"},{"url":"monogatari99@gmail.com","name":"monogatari99@gmail.com","type":"Support email"},{"url":"Thomas.Hamann@naturalis.nl","name":"Thomas.Hamann@naturalis.nl","type":"Support email"},{"url":"george.gosline@gmail.com","name":"george.gosline@gmail.com","type":"Support email"},{"url":"quentingroom@gmail.com","name":"quentingroom@gmail.com","type":"Support email"},{"url":"https://github.com/flora-phenotype-ontology/flopoontology","name":"Github Repository","type":"Github"},{"url":"https://wiki.pro-ibiosphere.eu/wiki/Traits_Task_Group","name":"Traits Task Group","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FLOPO","name":"BioPortal: FLOPO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/flopo","name":"OLS: flopo","portal":"OLS"},{"url":"https://obofoundry.org/ontology/flopo.html","name":"OBO Foundry: flopo","portal":"OBO Foundry"},{"url":"http://agroportal.lirmm.fr/ontologies/FLOPO#:~:text=The%20Flora%20Phenotype%20Ontology%20(FLOPO,plant%20species%20found%20in%20Floras.\u0026text=The%20FLOPO%20is%20primarily%20intended,higher%20taxa%20of%20flowering%20plants.","name":"Agroportal: FLOPO","portal":"AgroPortal"}]},"legacy_ids":["bsg-000558","bsg-s000558"],"name":"FAIRsharing record for: Flora Phenotype Ontology","abbreviation":"FLOPO","url":"https://fairsharing.org/10.25504/FAIRsharing.ny9vnm","doi":"10.25504/FAIRsharing.ny9vnm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Flora Phenotype Ontology is a domain ontology for the description of plant characters. FLOPO contains more than 25000 phenotype and traits classes, the creation of FLOPO is data-driven: For each trait/phenotype class exists a taxon annotation in the underlying Floras.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Biodiversity","Plant Anatomy"],"domains":["Phenotype","Life cycle stage"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Belgium","Germany","Netherlands","Saudi Arabia","United Kingdom"],"publications":[{"id":896,"pubmed_id":25057255,"title":"Enriched biodiversity data as a resource and service.","year":2014,"url":"http://doi.org/10.3897/BDJ.2.e1125","authors":"Vos RA,Biserkov JV,Balech B,Beard N,Blissett M,Brenninkmeijer C,van Dooren T,Eades D,Gosline G,Groom QJ,Hamann TD,Hettling H,Hoehndorf R,Holleman A,Hovenkamp P,Kelbert P,King D,Kirkup D,Lammers Y,DeMeulemeester T,Mietchen D,Miller JA,Mounce R,Nicolson N,Page R,Pawlik A,Pereira S,Penev L,Richards K,Sautter G,Shorthouse DP,Tahtinen M,Weiland C,Williams AR,Sierra S","journal":"Biodivers Data J","doi":"10.3897/BDJ.2.e1125","created_at":"2021-09-30T08:23:59.014Z","updated_at":"2021-09-30T08:23:59.014Z"},{"id":1817,"pubmed_id":27842607,"title":"The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0107-8","authors":"Hoehndorf R,Alshahrani M,Gkoutos GV,Gosline G,Groom Q,Hamann T,Kattge J,de Oliveira SM,Schmidt M,Sierra S,Smets E,Vos RA,Weiland C","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0107-8","created_at":"2021-09-30T08:25:43.972Z","updated_at":"2021-09-30T08:25:43.972Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1813,"relation":"undefined"}],"grants":[{"id":5585,"fairsharing_record_id":394,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:32.485Z","updated_at":"2021-09-30T09:31:23.476Z","grant_id":1148,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS-1340112","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5589,"fairsharing_record_id":394,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:32.620Z","updated_at":"2021-09-30T09:31:44.102Z","grant_id":1303,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/J004464/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5588,"fairsharing_record_id":394,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:32.596Z","updated_at":"2021-09-30T09:30:26.102Z","grant_id":709,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HI 1538/2-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5586,"fairsharing_record_id":394,"organisation_id":2368,"relation":"funds","created_at":"2021-09-30T09:27:32.526Z","updated_at":"2021-09-30T09:31:08.874Z","grant_id":1039,"is_lead":false,"saved_state":{"id":2368,"name":"Pro-iBiosphere project, European Commission FP7","grant":"312848","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5587,"fairsharing_record_id":394,"organisation_id":2333,"relation":"funds","created_at":"2021-09-30T09:27:32.564Z","updated_at":"2021-09-30T09:31:52.344Z","grant_id":1365,"is_lead":false,"saved_state":{"id":2333,"name":"Plant Phenotyping Network, European Commission FP7","grant":"284443","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"395","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:19.568Z","metadata":{"doi":"10.25504/FAIRsharing.cfhbvn","name":"Observ-Tab","status":"deprecated","homepage":"http://wiki.gcc.rug.nl/wiki/ObservStart","citations":[{"doi":"10.1002/humu.22070","pubmed_id":22416047,"publication_id":905}],"identifier":395,"description":"Observ-Tab is the tabular exchange format for Observ-OM. Observ-OM is a model to capture 'any' phenotype observation lead by ​EU-GEN2PHEN. Its purpose is to store individual and summary level observations in a uniform way to enable harmonization and interoperability of phenotypic and genotypic data across human genetics, model organisms and biobanks.","abbreviation":"Observ-Tab","year_creation":2011,"deprecation_date":"2019-09-24","deprecation_reason":"This resource has been deprecated, though remains available for reference purposes."},"legacy_ids":["bsg-000554","bsg-s000554"],"name":"FAIRsharing record for: Observ-Tab","abbreviation":"Observ-Tab","url":"https://fairsharing.org/10.25504/FAIRsharing.cfhbvn","doi":"10.25504/FAIRsharing.cfhbvn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Observ-Tab is the tabular exchange format for Observ-OM. Observ-OM is a model to capture 'any' phenotype observation lead by ​EU-GEN2PHEN. Its purpose is to store individual and summary level observations in a uniform way to enable harmonization and interoperability of phenotypic and genotypic data across human genetics, model organisms and biobanks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["Model organism","Biobank","Phenotype","Genotype"],"taxonomies":["All","Homo sapiens"],"user_defined_tags":[],"countries":["Finland","Netherlands","United Kingdom"],"publications":[{"id":905,"pubmed_id":22416047,"title":"Observ-OM and Observ-TAB: Universal syntax solutions for the integration, search, and exchange of phenotype and genotype information.","year":2012,"url":"http://doi.org/10.1002/humu.22070","authors":"Adamusiak T,Parkinson H,Muilu J,Roos E,van der Velde KJ,Thorisson GA,Byrne M,Pang C,Gollapudi S,Ferretti V,Hillege H,Brookes AJ,Swertz MA","journal":"Hum Mutat","doi":"10.1002/humu.22070","created_at":"2021-09-30T08:23:59.938Z","updated_at":"2021-09-30T08:23:59.938Z"}],"licence_links":[],"grants":[{"id":5592,"fairsharing_record_id":395,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:32.714Z","updated_at":"2021-09-30T09:27:32.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5590,"fairsharing_record_id":395,"organisation_id":3059,"relation":"maintains","created_at":"2021-09-30T09:27:32.646Z","updated_at":"2021-09-30T09:27:32.646Z","grant_id":null,"is_lead":true,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5591,"fairsharing_record_id":395,"organisation_id":220,"relation":"funds","created_at":"2021-09-30T09:27:32.675Z","updated_at":"2021-09-30T09:32:42.771Z","grant_id":1744,"is_lead":false,"saved_state":{"id":220,"name":"Biobanking and Biomolecular Resources Research Infrastructure (BBMRI), The Netherlands","grant":"BBMRI-NL RP-2","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"396","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-05T09:06:34.904Z","metadata":{"doi":"10.25504/FAIRsharing.e01rsf","name":"Standard Preanalytical Code","status":"ready","contacts":[{"contact_name":"Fotini Betsou","contact_email":"fay.betsou@ibbl.org"},{"contact_name":"General Contact","contact_email":"info@isber.org","contact_orcid":null}],"homepage":"https://www.isber.org/page/sprec","citations":[{"doi":"10.1089/bio.2012.0012","pubmed_id":24849886,"publication_id":1821}],"identifier":396,"description":"Standard Preanalytical Code (SPREC) identifies and records the main pre-analytical factors that may have impact on the integrity of sampled clinical fluids and solid biospecimens and their simple derivatives during collection, processing and storage. SPREC comprises 7 elements for both fluid and solid samples, defining the sample and primary container type, periods of cold and warm ischemia, and subsequent handling steps including speed and temperature of centrifugation and final storage temperature.","abbreviation":"SPREC","support_links":[{"url":"https://c.ymcdn.com/sites/isber.site-ym.com/resource/resmgr/sprecalcreleasenotes_v1.0.pdf","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-000549","bsg-s000549"],"name":"FAIRsharing record for: Standard Preanalytical Code","abbreviation":"SPREC","url":"https://fairsharing.org/10.25504/FAIRsharing.e01rsf","doi":"10.25504/FAIRsharing.e01rsf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard Preanalytical Code (SPREC) identifies and records the main pre-analytical factors that may have impact on the integrity of sampled clinical fluids and solid biospecimens and their simple derivatives during collection, processing and storage. SPREC comprises 7 elements for both fluid and solid samples, defining the sample and primary container type, periods of cold and warm ischemia, and subsequent handling steps including speed and temperature of centrifugation and final storage temperature.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11042},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12085},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16966}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Biological sample annotation","Biobank","Quality control","Biological sample"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","France","Italy","Luxembourg","United Kingdom","United States"],"publications":[{"id":1820,"pubmed_id":20332280,"title":"Standard preanalytical coding for biospecimens: defining the sample PREanalytical code","year":2010,"url":"http://doi.org/10.1158/1055-9965.EPI-09-1268","authors":"Betsou F, Lehmann S, Ashton G, Barnes M, Benson EE, Coppola D, DeSouza Y, Eliason J, Glazer B, Guadagni F, Harding K, Horsfall DJ, Kleeberger C, Nanni U, Prasad A, Shea K, Skubitz A, Somiari S, Gunter E; International Society for Biological and Environmental Repositories (ISBER) Working Group on Biospecimen Science","journal":"Cancer Epidemiol Biomarkers Prev","doi":"10.1158/1055-9965.EPI-09-1268","created_at":"2021-09-30T08:25:44.406Z","updated_at":"2021-09-30T08:25:44.406Z"},{"id":1821,"pubmed_id":24849886,"title":"Standard preanalytical coding for biospecimens: review and implementation of the Sample PREanalytical Code (SPREC).","year":2012,"url":"http://doi.org/10.1089/bio.2012.0012","authors":"Lehmann S,Guadagni F,Moore H,Ashton G,Barnes M,Benson E,Clements J,Koppandi I,Coppola D,Demiroglu SY,DeSouza Y,De Wilde A,Duker J,Eliason J,Glazer B,Harding K,Jeon JP,Kessler J,Kokkat T,Nanni U,Shea K,Skubitz A,Somiari S,Tybring G,Gunter E,Betsou F","journal":"Biopreserv Biobank","doi":"10.1089/bio.2012.0012","created_at":"2021-09-30T08:25:44.514Z","updated_at":"2021-09-30T08:25:44.514Z"}],"licence_links":[],"grants":[{"id":5594,"fairsharing_record_id":396,"organisation_id":1517,"relation":"maintains","created_at":"2021-09-30T09:27:32.780Z","updated_at":"2021-09-30T09:27:32.780Z","grant_id":null,"is_lead":false,"saved_state":{"id":1517,"name":"International Society for Biological and Environmental Repositories (ISBER), Vancouver, BC, Canada.","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5593,"fairsharing_record_id":396,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:32.747Z","updated_at":"2021-09-30T09:32:45.605Z","grant_id":1765,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P30 AI027763","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--42523738af8f1fc3c2d0d5f55190812e255fd034/SubPageBanner_v022.jpg?disposition=inline","exhaustive_licences":false}},{"id":"388","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T15:43:30.000Z","updated_at":"2024-03-21T13:57:58.313Z","metadata":{"doi":"10.25504/FAIRsharing.47tk7z","name":"MIAPE: Capillary Electrophoresis","status":"ready","contacts":[],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":388,"description":"“MIAPE – Capillary Electrophoresis” (MIAPE-CE) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CE module is the result of a coordinaded effort between a consortia of CE researchers working in proteomics field. It has been designed to specify a minimal set of information to document a CE experiment.","abbreviation":"MIAPE-CE","support_links":[{"url":"psi-mi@ebi.ac.uk","type":"Support email"}],"year_creation":2008},"legacy_ids":["bsg-000612","bsg-s000612"],"name":"FAIRsharing record for: MIAPE: Capillary Electrophoresis","abbreviation":"MIAPE-CE","url":"https://fairsharing.org/10.25504/FAIRsharing.47tk7z","doi":"10.25504/FAIRsharing.47tk7z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: “MIAPE – Capillary Electrophoresis” (MIAPE-CE) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CE module is the result of a coordinaded effort between a consortia of CE researchers working in proteomics field. It has been designed to specify a minimal set of information to document a CE experiment.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11444},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12062}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Assay","Electrophoresis","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Japan","Spain","United Kingdom","United States","European Union"],"publications":[{"id":810,"pubmed_id":20622828,"title":"Guidelines for reporting the use of capillary electrophoresis in proteomics.","year":2010,"url":"http://doi.org/10.1038/nbt0710-654b","authors":"Domann PJ,Akashi S,Barbas C,Huang L,Lau W,Legido-Quigley C,McClean S,Neususs C,Perrett D,Quaglia M,Rapp E,Smallshaw L,Smith NW,Smyth WF,Taylor CF","journal":"Nat Biotechnol","doi":"10.1038/nbt0710-654b","created_at":"2021-09-30T08:23:49.373Z","updated_at":"2021-09-30T08:23:49.373Z"}],"licence_links":[],"grants":[{"id":5574,"fairsharing_record_id":388,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:32.103Z","updated_at":"2021-09-30T09:27:32.103Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":11521,"fairsharing_record_id":388,"organisation_id":3609,"relation":"funds","created_at":"2024-03-21T13:57:57.977Z","updated_at":"2024-03-21T13:57:57.977Z","grant_id":null,"is_lead":false,"saved_state":{"id":3609,"name":"Human Proteome Organization","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ01EIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e02994dee9825df16f19924532c21d19148940bf/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"389","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-03T09:54:03.787Z","metadata":{"doi":"10.25504/FAIRsharing.wdrf9x","name":"MIAPE: Mass Spectrometry Quantification","status":"ready","contacts":[{"contact_name":"Salvador Martínez-Bartolomé","contact_email":"smartinez@cnb.csic.es","contact_orcid":"0000-0001-7592-5612"}],"homepage":"https://www.psidev.info/groups/miape","citations":[],"identifier":389,"description":"This module identifies the minimum information required to report the use of quantification techniques in a proteomics experiment, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the results of the data analysis.","abbreviation":"MIAPE-Quant","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"Psidev-pi-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"http://www.psidev.info/sites/default/files/MIAPE_Quant_v1.0_Final_0.pdf","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000516","bsg-s000516"],"name":"FAIRsharing record for: MIAPE: Mass Spectrometry Quantification","abbreviation":"MIAPE-Quant","url":"https://fairsharing.org/10.25504/FAIRsharing.wdrf9x","doi":"10.25504/FAIRsharing.wdrf9x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report the use of quantification techniques in a proteomics experiment, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the results of the data analysis.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11438},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12034}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Quantification","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Spain","Switzerland","United Kingdom","United States"],"publications":[{"id":1433,"pubmed_id":23500130,"title":"Guidelines for reporting quantitative mass spectrometry based experiments in proteomics.","year":2013,"url":"http://doi.org/10.1016/j.jprot.2013.02.026","authors":"Martinez-Bartolome S, Deutsch EW, Binz PA, Jones AR, Eisenacher M, Mayer G, Campos A, Canals F, Bech-Serra JJ, Carrascal M, Gay M, Paradela A, Navajas R, Marcilla M, Hernaez ML, Gutierrez-Blazquez MD, Velarde LF, Aloria K, Beaskoetxea J, Medina-Aunon JA, Albar JP.","journal":"Journal of Proteomics","doi":"10.1016/j.jprot.2013.02.026","created_at":"2021-09-30T08:25:00.232Z","updated_at":"2021-09-30T08:25:00.232Z"}],"licence_links":[],"grants":[{"id":5575,"fairsharing_record_id":389,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:32.127Z","updated_at":"2023-10-03T09:28:33.388Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"390","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-02-07T09:22:13.137Z","metadata":{"doi":"10.25504/FAIRsharing.s0jj2t","name":"Minimum Information About BIobank data Sharing","status":"ready","contacts":[{"contact_name":"Roxana Merino-Martinez","contact_email":"roxana.martinez@ki.se","contact_orcid":"0000-0002-8939-0003"}],"homepage":"http://bbmri-wiki.wikidot.com/en:dataset","identifier":390,"description":"MIABIS represents the minimum information required to initiate collaborations between biobanks and to enable the exchange of biological samples and data. The aim is to facilitate the reuse of bio-resources and associated data by harmonizing biobanking and biomedical research.","abbreviation":"MIABIS","support_links":[{"url":"https://github.com/MIABIS/miabis/wiki/Database-implementation","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-000553","bsg-s000553"],"name":"FAIRsharing record for: Minimum Information About BIobank data Sharing","abbreviation":"MIABIS","url":"https://fairsharing.org/10.25504/FAIRsharing.s0jj2t","doi":"10.25504/FAIRsharing.s0jj2t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIABIS represents the minimum information required to initiate collaborations between biobanks and to enable the exchange of biological samples and data. The aim is to facilitate the reuse of bio-resources and associated data by harmonizing biobanking and biomedical research.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17342},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18285},{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17648},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12039}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Biobank"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Finland","Germany","Netherlands","Sweden"],"publications":[{"id":1799,"pubmed_id":26977825,"title":"Toward Global Biobank Integration by Implementation of the Minimum Information About BIobank Data Sharing (MIABIS 2.0 Core).","year":2016,"url":"http://doi.org/10.1089/bio.2015.0070","authors":"Merino-Martinez R,Norlin L,van Enckevort D,Anton G,Schuffenhauer S,Silander K,Mook L,Holub P,Bild R,Swertz M,Litton JE","journal":"Biopreserv Biobank","doi":"10.1089/bio.2015.0070","created_at":"2021-09-30T08:25:41.980Z","updated_at":"2021-09-30T08:25:41.980Z"},{"id":1800,"pubmed_id":24849882,"title":"A Minimum Data Set for Sharing Biobank Samples, Information, and Data: MIABIS.","year":2012,"url":"http://doi.org/10.1089/bio.2012.0003","authors":"Norlin L,Fransson MN,Eriksson M,Merino-Martinez R,Anderberg M,Kurtovic S,Litton JE","journal":"Biopreserv Biobank","doi":"10.1089/bio.2012.0003","created_at":"2021-09-30T08:25:42.088Z","updated_at":"2021-09-30T08:25:42.088Z"}],"licence_links":[],"grants":[{"id":5576,"fairsharing_record_id":390,"organisation_id":182,"relation":"maintains","created_at":"2021-09-30T09:27:32.154Z","updated_at":"2021-09-30T09:27:32.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":182,"name":"BBMRI-ERIC national nodes, Graz, Austria","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"384","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-01T10:38:08.630Z","metadata":{"doi":"10.25504/FAIRsharing.wkdjpb","name":"Gazetteer","status":"uncertain","contacts":[{"contact_name":"Lynn Schriml","contact_email":"lschriml@som.umaryland.edu","contact_orcid":null}],"homepage":"http://environmentontology.github.io/gaz/","citations":[],"identifier":384,"description":"A controlled vocabulary following ontological rules that describes named geographical locations. GAZ represents a first step towards an open source gazetteer, constructed on ontological principles, that describes places and place names and the relations between them.","abbreviation":"GAZ","support_links":[{"url":"https://github.com/EnvironmentOntology/gaz/issues","name":"GitHub Issue Tracker","type":"Contact form"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GAZ","name":"GAZ","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/gaz.html","name":"gaz","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002636","bsg-s002636"],"name":"FAIRsharing record for: Gazetteer","abbreviation":"GAZ","url":"https://fairsharing.org/10.25504/FAIRsharing.wkdjpb","doi":"10.25504/FAIRsharing.wkdjpb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary following ontological rules that describes named geographical locations. GAZ represents a first step towards an open source gazetteer, constructed on ontological principles, that describes places and place names and the relations between them.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11856}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science"],"domains":["Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2769,"relation":"applies_to_content"}],"grants":[{"id":5564,"fairsharing_record_id":384,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:31.853Z","updated_at":"2021-09-30T09:27:31.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"385","type":"fairsharing_records","attributes":{"created_at":"2018-04-04T13:30:56.000Z","updated_at":"2022-04-11T12:07:33.717Z","metadata":{"doi":"10.25504/FAIRsharing.pg4NHk","name":"Open Metadata Markup Language","status":"ready","contacts":[{"contact_name":"Thomas Wachtler","contact_email":"info@g-node.org","contact_orcid":"0000-0003-2015-6590"}],"homepage":"https://github.com/G-Node/python-odml/wiki","identifier":385,"description":"odML is a format to collect and share metadata in an organized, human- and machine-readable way. The format specifies a hierarchical structure for storing arbitrary metadata as extended key-value pairs. It is inherently extensible and can be adapted flexibly to the specific requirements of any laboratory. Developed within the Neuroinformatics community, it is a generic format intended for all types of data.","abbreviation":"odML","support_links":[{"url":"https://g-node.github.io/python-odml/","name":"odML Tutorial","type":"Github"},{"url":"https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001376/resolver?q=*\u0026l=","name":"SciCrunch Registry odML record","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"https://github.com/G-Node/python-odml/releases/latest","name":"python-odml LIbrary latest"},{"url":"https://github.com/G-Node/odml-ui/releases/latest","name":"odML Editor latest"},{"url":"https://github.com/INM-6/python-odmltables/releases/latest","name":"odmlTables latest"}]},"legacy_ids":["bsg-001168","bsg-s001168"],"name":"FAIRsharing record for: Open Metadata Markup Language","abbreviation":"odML","url":"https://fairsharing.org/10.25504/FAIRsharing.pg4NHk","doi":"10.25504/FAIRsharing.pg4NHk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: odML is a format to collect and share metadata in an organized, human- and machine-readable way. The format specifies a hierarchical structure for storing arbitrary metadata as extended key-value pairs. It is inherently extensible and can be adapted flexibly to the specific requirements of any laboratory. Developed within the Neuroinformatics community, it is a generic format intended for all types of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics"],"countries":["Germany"],"publications":[{"id":2269,"pubmed_id":21941477,"title":"A Bottom-up Approach to Data Annotation in Neurophysiology.","year":2011,"url":"http://doi.org/10.3389/fninf.2011.00016","authors":"Grewe J,Wachtler T,Benda J","journal":"Front Neuroinform","doi":"10.3389/fninf.2011.00016","created_at":"2021-09-30T08:26:36.355Z","updated_at":"2021-09-30T08:26:36.355Z"}],"licence_links":[{"licence_name":"BSD 4-Clause \"Original\" or \"Old\" License","licence_id":89,"licence_url":"https://spdx.org/licenses/BSD-4-Clause.html","link_id":2342,"relation":"undefined"},{"licence_name":"odML-Specific BSD License","licence_id":611,"licence_url":"https://github.com/G-Node/python-odml/blob/master/LICENSE","link_id":2341,"relation":"undefined"}],"grants":[{"id":5566,"fairsharing_record_id":385,"organisation_id":1730,"relation":"maintains","created_at":"2021-09-30T09:27:31.903Z","updated_at":"2021-09-30T09:27:31.903Z","grant_id":null,"is_lead":false,"saved_state":{"id":1730,"name":"Ludwig-Maximilians-Universitt Mnchen, Department Biologie II, Division of Neurobiology, Munich, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9344,"fairsharing_record_id":385,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.843Z","updated_at":"2022-04-11T12:07:31.860Z","grant_id":1519,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ1302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9349,"fairsharing_record_id":385,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.245Z","updated_at":"2022-04-11T12:07:32.261Z","grant_id":1588,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ0802","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9369,"fairsharing_record_id":385,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.689Z","updated_at":"2022-04-11T12:07:33.706Z","grant_id":1587,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ0801","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"386","type":"fairsharing_records","attributes":{"created_at":"2015-08-14T11:44:26.000Z","updated_at":"2022-06-13T10:06:17.741Z","metadata":{"doi":"10.25504/FAIRsharing.qk984b","name":"The Observational Medical Outcomes Partnership Common Data Model","status":"ready","contacts":[{"contact_name":"David Madigan","contact_email":"david.madigan@columbia.edu","contact_orcid":"0000-0001-9754-1011"},{"contact_name":"Clair Blacketer (OHDSI Teams Tenet)","contact_email":"mblacke@its.jnj.com","contact_orcid":null}],"homepage":"https://www.ohdsi.org/data-standardization/the-common-data-model/","citations":[],"identifier":386,"description":"The The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) allows for the systematic analysis of disparate observational databases for standardizing the format and content of the observational data, standardized applications (tools and methods) can be applied across databases implementing a common data model format (data model) and/or a common representation data model using variable terminologies, vocabularies, and coding schemes. The OMOP CDM can accommodate both administrative claims and EHR applications for allowing users to generate evidence from a wide variety of data sources, supporting both collaborative research across data sources both within and outside the United States in a manageable format suitable for both data owners and data users.","abbreviation":"OMOP CDM","support_links":[{"url":"contact@ohdsi.org","type":"Support email"},{"url":"http://www.ohdsi.org/who-we-are/frequently-asked-questions/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://forums.ohdsi.org/c/developers","name":"CDM Developer Forum - Discussion on open-source development of OHDSI applications and other tools that leverage the OMOP CDM.","type":"Forum"},{"url":"http://75.101.131.161/download/loadfile.php?docname=CDM%20Specification%20V4.0","type":"Help documentation"},{"url":"https://twitter.com/OHDSI","type":"Twitter"},{"url":"https://ohdsi.github.io/CommonDataModel/","type":"Help documentation"},{"url":"https://forums.ohdsi.org/c/cdm-builders/9/l/latest","name":"CDM Builder Forum - Discussion of ongoing CDM development, including requirements, vocabulary, and technical aspects.","type":"Forum"},{"url":"https://github.com/OHDSI/CommonDataModel","name":"OMOP Common Data Model on GitHub","type":"Github"},{"url":"https://ohdsi.github.io/CommonDataModel/","name":"OMOP Common Data Model \"Read the Docs\"","type":"Github"},{"url":"https://ohdsi.github.io/TheBookOfOhdsi/","name":"The Book of OHDSI","type":"Github"},{"url":"https://github.com/OHDSI/CommonDataModel/tree/v5.4.0/inst/ddl/5.4","name":"SQL DDLs","type":"Github"},{"url":"http://www.ltscomputingllc.com/downloads/","name":"Latest CDM Version Download","type":"Help documentation"},{"url":"https://forms.office.com/Pages/ResponsePage.aspx?id=lAAPoyCRq0q6TOVQkCOy1ZyG6Ud_r2tKuS0HcGnqiQZUOVJFUzBFWE1aSVlLN0ozR01MUVQ4T0RGNyQlQCN0PWcu","name":"Join the CDM Working Group","type":"Contact form"},{"url":"https://docs.google.com/document/d/1WgKePjrI_cGdqn2XQCe1JdGaTzdMqU4p5ihkMt8fcAc/edit?usp=sharing","name":"CDM WG Working Agenda","type":"Other"},{"url":"https://drive.google.com/open?id=1DaNKe6ivIAZPJeI31VJ-pzNB9wS9hDqu","name":"CDM WG Google Drive Resources","type":"Other"},{"url":"https://www.ohdsi.org/web/wiki/doku.php?id=documentation:vocabulary:sidebar","name":"Standardized Vocabularies","type":"Help documentation"},{"url":"https://github.com/OHDSI/CommonDataModel/tree/master#readme","name":"Link to ReadMe for instructions on how to use the R package","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"https://ohdsi.github.io/Hades/","name":"OHDSI Tool Suite"}]},"legacy_ids":["bsg-000614","bsg-s000614"],"name":"FAIRsharing record for: The Observational Medical Outcomes Partnership Common Data Model","abbreviation":"OMOP CDM","url":"https://fairsharing.org/10.25504/FAIRsharing.qk984b","doi":"10.25504/FAIRsharing.qk984b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) allows for the systematic analysis of disparate observational databases for standardizing the format and content of the observational data, standardized applications (tools and methods) can be applied across databases implementing a common data model format (data model) and/or a common representation data model using variable terminologies, vocabularies, and coding schemes. The OMOP CDM can accommodate both administrative claims and EHR applications for allowing users to generate evidence from a wide variety of data sources, supporting both collaborative research across data sources both within and outside the United States in a manageable format suitable for both data owners and data users.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17326},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12480}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Data Governance","Health Science","Preclinical Studies"],"domains":["Electronic health record","Safety study","Observation design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":807,"pubmed_id":null,"title":"A Systematic Statistical Approach to Evaluating Evidence from Observational Studies","year":2014,"url":"http://doi.org/10.1146/annurev-statistics-022513-115645","authors":"David Madigan, Paul E. Stang, Jesse A. Berlin, Martijn Schuemie, J. Marc Overhage, Marc A. Suchard, Bill Dumouchel, Abraham G. Hartzema, and Patrick B. Ryan","journal":"Annual Review of Statistics and Its Application","doi":"10.1146/annurev-statistics-022513-115645","created_at":"2021-09-30T08:23:49.004Z","updated_at":"2021-09-30T08:23:49.004Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":96,"relation":"undefined"}],"grants":[{"id":5569,"fairsharing_record_id":386,"organisation_id":127,"relation":"funds","created_at":"2021-09-30T09:27:31.977Z","updated_at":"2021-09-30T09:27:31.977Z","grant_id":null,"is_lead":false,"saved_state":{"id":127,"name":"AstraZeneca","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":5568,"fairsharing_record_id":386,"organisation_id":2409,"relation":"funds","created_at":"2021-09-30T09:27:31.953Z","updated_at":"2021-09-30T09:27:31.953Z","grant_id":null,"is_lead":false,"saved_state":{"id":2409,"name":"Reagan-Udall Foundation for the FDA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5570,"fairsharing_record_id":386,"organisation_id":1355,"relation":"maintains","created_at":"2021-09-30T09:27:32.003Z","updated_at":"2021-09-30T09:27:32.003Z","grant_id":null,"is_lead":false,"saved_state":{"id":1355,"name":"Innovation in Medical Evidence Development and Surveillance (IMEDS) Program, Reagan-Udall Foundation, Washington, DC, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":12030,"fairsharing_record_id":386,"organisation_id":2212,"relation":"maintains","created_at":"2024-07-08T14:51:34.075Z","updated_at":"2024-07-08T14:51:34.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2212,"name":"Observational Health Data Sciences and Informatics","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"387","type":"fairsharing_records","attributes":{"created_at":"2016-05-26T14:45:56.000Z","updated_at":"2021-11-24T13:16:25.006Z","metadata":{"doi":"10.25504/FAIRsharing.384x47","name":"International transfer format for botanic garden plant records","status":"deprecated","homepage":"https://github.com/tdwg/prior-standards/tree/master/itf2","identifier":387,"description":"The International Transfer Format for Botanic Garden Plant Records, version 2 (ITF2) was developed in response to requests from Botanic Gardens to incorporate additional data fields for transfer within the Botanic Gardens and allow for a more flexible transfer format than the original transfer format outlined in ITF version 01.00. It is biased towards 'Conservation Type Data Fields', but incorporates a procedure allowing for additional data fields to be identified and exchanged between gardens. It is because of this flexibility that it is believed that the ITF2 will remain relevant to Botanic Gardens for a long time despite the rapid change in information system technology in recent years.","abbreviation":"ITF2","year_creation":1987,"deprecation_date":"2016-05-26","deprecation_reason":"This standard is listed as 'prior' on the TWDG website (http://www.tdwg.org/standards/)"},"legacy_ids":["bsg-000670","bsg-s000670"],"name":"FAIRsharing record for: International transfer format for botanic garden plant records","abbreviation":"ITF2","url":"https://fairsharing.org/10.25504/FAIRsharing.384x47","doi":"10.25504/FAIRsharing.384x47","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Transfer Format for Botanic Garden Plant Records, version 2 (ITF2) was developed in response to requests from Botanic Gardens to incorporate additional data fields for transfer within the Botanic Gardens and allow for a more flexible transfer format than the original transfer format outlined in ITF version 01.00. It is biased towards 'Conservation Type Data Fields', but incorporates a procedure allowing for additional data fields to be identified and exchanged between gardens. It is because of this flexibility that it is believed that the ITF2 will remain relevant to Botanic Gardens for a long time despite the rapid change in information system technology in recent years.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12282}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5572,"fairsharing_record_id":387,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:27:32.053Z","updated_at":"2021-09-30T09:27:32.053Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"399","type":"fairsharing_records","attributes":{"created_at":"2017-09-25T14:49:39.000Z","updated_at":"2023-10-23T07:51:44.413Z","metadata":{"doi":"10.25504/FAIRsharing.anpj91","name":"AGROVOC","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"agrovoc@fao.org"}],"homepage":"http://www.fao.org/agrovoc/","citations":[{"doi":"https://doi.org/10.4060/cb2838en","pubmed_id":null,"publication_id":3154}],"identifier":399,"description":"AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts. AGROVOC consists of over 41,000 concepts available in up to 42 languages. AGROVOC uses semantic web technologies, linking to other multilingual knowledge organization systems and building bridges between datasets. Your library can use AGROVOC to index its documents or datasets, or you can use it from inside your content management system (e.g., Drupal) to organize your documents or web site. You can also use AGROVOC as an hub to access many other vocabularies available on the web. To date, AGROVOC is used by researchers, librarians and information managers for indexing, retrieving and organizing data in agricultural information systems and Web pages. Currently, AGROVOC is an SKOS-XL concept scheme and a Linked Open Data (LOD*) set aligned with over 20 other multilingual knowledge organization systems related to agriculture. You may browse AGROVOC, access its Web Services or SPARQL endpoint.","abbreviation":"AGROVOC","support_links":[{"url":"https://dgroups.org/fao/agrovoc/join","name":"AGROVOC News mailing list","type":"Mailing list"},{"url":"https://en.wikipedia.org/wiki/AGROVOC","name":"Wikipedia","type":"Wikipedia"},{"url":"http://www.fao.org/agrovoc/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/FAOAIMS","name":"@FAOAIMS","type":"Twitter"},{"url":"https://www.fao.org/3/cb8640en/cb8640en.pdf","name":"AGROVOC Editorial Guidelines, Second edition","type":"Help documentation"},{"url":"https://www.fao.org/3/cb2838en/CB2838EN.pdf","name":"AGROVOC Semantic data interoperability on food and agriculture","type":"Help documentation"},{"url":"https://www.fao.org/agrovoc/news","type":"Blog/News"}],"year_creation":1980,"cross_references":[{"url":"http://agroportal.lirmm.fr/ontologies/AGROVOC","name":"AgroPortal:AGROVOC","portal":"AgroPortal"}]},"legacy_ids":["bsg-000720","bsg-s000720"],"name":"FAIRsharing record for: AGROVOC","abbreviation":"AGROVOC","url":"https://fairsharing.org/10.25504/FAIRsharing.anpj91","doi":"10.25504/FAIRsharing.anpj91","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts. AGROVOC consists of over 41,000 concepts available in up to 42 languages. AGROVOC uses semantic web technologies, linking to other multilingual knowledge organization systems and building bridges between datasets. Your library can use AGROVOC to index its documents or datasets, or you can use it from inside your content management system (e.g., Drupal) to organize your documents or web site. You can also use AGROVOC as an hub to access many other vocabularies available on the web. To date, AGROVOC is used by researchers, librarians and information managers for indexing, retrieving and organizing data in agricultural information systems and Web pages. Currently, AGROVOC is an SKOS-XL concept scheme and a Linked Open Data (LOD*) set aligned with over 20 other multilingual knowledge organization systems related to agriculture. You may browse AGROVOC, access its Web Services or SPARQL endpoint.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Fisheries Science","Environmental Science","Forest Management","Data Management","Agriculture","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":["thesaurus"],"countries":["Worldwide"],"publications":[{"id":576,"pubmed_id":null,"title":"The AGROVOC Linked Dataset","year":2013,"url":"http://www.semantic-web-journal.net/system/files/swj274_1.pdf","authors":"Caracciolo C., Stellato A., Morshed A., Johannsen G., Rajbhandari S., Jaques Y., Keizer J.","journal":"Semantic Web Journal","doi":null,"created_at":"2021-09-30T08:23:23.043Z","updated_at":"2021-09-30T08:23:23.043Z"},{"id":3152,"pubmed_id":null,"title":"How Agricultural Digital Innovation Can Benefit from Semantics: The Case of the AGROVOC Multilingual Thesaurus","year":2021,"url":"https://www.mdpi.com/2673-4591/9/1/17","authors":"Esther Mietzsch, Daniel Martini, Kristin Kolshus ,Andrea Turbati and Imma Subirats","journal":"Engineering Proceedings","doi":"https://doi.org/10.3390/engproc2021009017","created_at":"2021-12-10T09:53:59.393Z","updated_at":"2021-12-10T09:53:59.393Z"},{"id":3154,"pubmed_id":null,"title":"AGROVOC – Semantic data interoperability on food and agriculture","year":2021,"url":"https://www.fao.org/3/cb2838en/CB2838EN.pdf","authors":"FAO","journal":"FAO","doi":"https://doi.org/10.4060/cb2838en","created_at":"2021-12-10T09:55:15.631Z","updated_at":"2021-12-10T09:55:15.631Z"},{"id":3312,"pubmed_id":null,"title":"AGROVOC: The linked data concept hub for food and agriculture","year":2022,"url":"http://dx.doi.org/10.1016/j.compag.2020.105965","authors":"Subirats-Coll, Imma; Kolshus, Kristin; Turbati, Andrea; Stellato, Armando; Mietzsch, Esther; Martini, Daniel; Zeng, Marcia; ","journal":"Computers and Electronics in Agriculture","doi":"10.1016/j.compag.2020.105965","created_at":"2022-04-13T13:35:49.425Z","updated_at":"2022-04-13T13:35:49.425Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 IGO (CC BY 3.0 IGO)","licence_id":164,"licence_url":"https://creativecommons.org/licenses/by/3.0/igo/","link_id":2222,"relation":"undefined"}],"grants":[{"id":5602,"fairsharing_record_id":399,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:27:33.099Z","updated_at":"2021-09-30T09:27:33.099Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"400","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T14:50:51.000Z","updated_at":"2022-02-08T10:40:51.064Z","metadata":{"doi":"10.25504/FAIRsharing.d0886a","name":"FAM","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#fam","identifier":400,"description":"A sample information file accompanying a .bed binary genotype table.","abbreviation":"FAM"},"legacy_ids":["bsg-001480","bsg-s001480"],"name":"FAIRsharing record for: FAM","abbreviation":"FAM","url":"https://fairsharing.org/10.25504/FAIRsharing.d0886a","doi":"10.25504/FAIRsharing.d0886a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A sample information file accompanying a .bed binary genotype table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["Biological sample","Phenotype"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"401","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:17:24.078Z","metadata":{"doi":"10.25504/FAIRsharing.1ctakh","name":"Mathematics Markup Language","status":"ready","contacts":[{"contact_name":"Bert Vos","contact_email":"bert@w3.org"}],"homepage":"http://www.w3.org/Math/","citations":[],"identifier":401,"description":"A product of the W3C Math Working Group, MathML is a low-level specification for describing mathematics as a basis for machine to machine communication which provides a much needed foundation for the inclusion of mathematical expressions in Web pages. It is also important in publishing workflows for science and technology and wherever mathematics has to be handled by software.","abbreviation":"MathML","support_links":[{"url":"http://www.w3.org/Math/mathml-faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://lists.w3.org/Archives/Public/www-math/","type":"Mailing list"},{"url":"http://www.w3.org/People/maxf/papers/iamc.ps","type":"Help documentation"},{"url":"https://www.w3.org/Math/wiki/Main_Page","type":"Help documentation"},{"url":"http://www.w3.org/Math/Overview.rss","type":"Blog/News"}],"year_creation":1997,"associated_tools":[{"url":"https://www.w3.org/Math/wiki/Tools#Browsers","name":"MathML Tool list"}]},"legacy_ids":["bsg-000571","bsg-s000571"],"name":"FAIRsharing record for: Mathematics Markup Language","abbreviation":"MathML","url":"https://fairsharing.org/10.25504/FAIRsharing.1ctakh","doi":"10.25504/FAIRsharing.1ctakh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A product of the W3C Math Working Group, MathML is a low-level specification for describing mathematics as a basis for machine to machine communication which provides a much needed foundation for the inclusion of mathematical expressions in Web pages. It is also important in publishing workflows for science and technology and wherever mathematics has to be handled by software.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11174},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12052}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Mathematics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5603,"fairsharing_record_id":401,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:33.135Z","updated_at":"2021-09-30T09:27:33.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"402","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.397Z","metadata":{"doi":"10.25504/FAIRsharing.peabnh","name":"Bleeding History Phenotype","status":"ready","contacts":[{"contact_name":"Shamim Mollah","contact_email":"smollah@rockefeller.edu","contact_orcid":"0000-0001-9178-8339"}],"homepage":"http://bioportal.bioontology.org/ontologies/1116","citations":[{"publication_id":2666}],"identifier":402,"description":"An application ontology devoted to the standardized recording of phenotypic data related to hemorrhagic disorders.","abbreviation":"BHO","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BHO","name":"BHO","portal":"BioPortal"}]},"legacy_ids":["bsg-002585","bsg-s002585"],"name":"FAIRsharing record for: Bleeding History Phenotype","abbreviation":"BHO","url":"https://fairsharing.org/10.25504/FAIRsharing.peabnh","doi":"10.25504/FAIRsharing.peabnh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology devoted to the standardized recording of phenotypic data related to hemorrhagic disorders.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12516}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science"],"domains":["Patient care","Phenotype","Blood"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2666,"pubmed_id":null,"title":"Creating an Ontology‐Based Human Phenotyping System: The Rockefeller University Bleeding History Experience","year":2019,"url":"https://ascpt.onlinelibrary.wiley.com/doi/10.1111/j.1752-8062.2009.00147.x","authors":"Andreas C. Mauer M.D. Edward M. Barbour M.S. Nickolay A. Khazanov M.S. Natasha Levenkova M.S. Shamim A. Mollah M.S. Barry S. Coller M.D.","journal":"Clinical and Translational Science","doi":null,"created_at":"2021-09-30T08:27:27.329Z","updated_at":"2021-09-30T08:27:27.329Z"}],"licence_links":[],"grants":[{"id":5604,"fairsharing_record_id":402,"organisation_id":210,"relation":"maintains","created_at":"2021-09-30T09:27:33.174Z","updated_at":"2021-09-30T09:27:33.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":210,"name":"BHAO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5605,"fairsharing_record_id":402,"organisation_id":1970,"relation":"funds","created_at":"2021-09-30T09:27:33.205Z","updated_at":"2021-09-30T09:28:56.279Z","grant_id":23,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"KL2RR024142","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8464,"fairsharing_record_id":402,"organisation_id":1970,"relation":"funds","created_at":"2021-09-30T09:32:45.301Z","updated_at":"2021-09-30T09:32:45.344Z","grant_id":1763,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"1U54RR023419‐01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"397","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:54:37.950Z","metadata":{"doi":"10.25504/FAIRsharing.wgfrmg","name":"Crop Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"earnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"http://www.cropontology.org/","citations":[],"identifier":397,"description":"Created in 2008 by the CGIAR, the Crop Ontology (CO; http://www.cropontology.org) is an essential source of traits and variables to support the standardization of the breeding databases such as the Integrated Breeding Platform’s BMS (IBP; https://www.integratedbreeding.net/) and the Boyce Thompson Institute’s Breedbase (https://breedbase.org/) (Arnaud et al., 2020). By providing descriptions of agronomic, morphological, physiological, quality, and stress traits along with their definitions and relationships, also including a standard nomenclature for composing the variables, the CO enables digital capture and aggregation of crop trait data, as well as comparison across projects and locations (Shrestha et al, 2012). The crop ontologies follow a conceptual model that defines a phenotypic variable as a combination of a trait, a method and a scale. This model aims at supporting the creation and management of breeders’ field books and the generation of annotated trial data. Annotated data are interpretable, interoperable and reusable. The development of a crop-specific ontology is a community-driven effort which is usually coordinated by a curator (or curators) nominated from within the community itself. CO’s Traits that are properly described following the guidelines are progressively mapped to the Planteome species-neutral Trait Ontology (TO) maintained by Oregon State University.","abbreviation":"CO","support_links":[{"url":"helpdesk@cropontology-curationtool.org","type":"Support email"},{"url":"https://cropontology.org/feedback","name":"General Contact Page","type":"Contact form"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"},{"url":"http://www.cropontology.org/about","name":"About","type":"Help documentation"},{"url":"http://genesys.cgxchange.org/gcp-crop-ontology/m-crop-ontology-curation-tool","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CO","name":"CO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/search?q=Crop+ontology","name":"Crop Ontologies in OLS","portal":"OLS"},{"url":"http://crop.agroportal.lirmm.fr/","name":"Crop Ontologies in AgroPortal","portal":"AgroPortal"}]},"legacy_ids":["bsg-002695","bsg-s002695"],"name":"FAIRsharing record for: Crop Ontology","abbreviation":"CO","url":"https://fairsharing.org/10.25504/FAIRsharing.wgfrmg","doi":"10.25504/FAIRsharing.wgfrmg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Created in 2008 by the CGIAR, the Crop Ontology (CO; http://www.cropontology.org) is an essential source of traits and variables to support the standardization of the breeding databases such as the Integrated Breeding Platform’s BMS (IBP; https://www.integratedbreeding.net/) and the Boyce Thompson Institute’s Breedbase (https://breedbase.org/) (Arnaud et al., 2020). By providing descriptions of agronomic, morphological, physiological, quality, and stress traits along with their definitions and relationships, also including a standard nomenclature for composing the variables, the CO enables digital capture and aggregation of crop trait data, as well as comparison across projects and locations (Shrestha et al, 2012). The crop ontologies follow a conceptual model that defines a phenotypic variable as a combination of a trait, a method and a scale. This model aims at supporting the creation and management of breeders’ field books and the generation of annotated trial data. Annotated data are interpretable, interoperable and reusable. The development of a crop-specific ontology is a community-driven effort which is usually coordinated by a curator (or curators) nominated from within the community itself. CO’s Traits that are properly described following the guidelines are progressively mapped to the Planteome species-neutral Trait Ontology (TO) maintained by Oregon State University.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11867},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15732},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16739}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Plant Breeding","Agriculture"],"domains":["Phenotype"],"taxonomies":["Plantae"],"user_defined_tags":["Metadata standardization","Plant Phenotypes and Traits"],"countries":["France"],"publications":[{"id":1306,"pubmed_id":22476066,"title":"Multifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature.","year":2010,"url":"http://doi.org/10.1093/aobpla/plq008","authors":"Shrestha R,Arnaud E,Mauleon R,Senger M,Davenport GF,Hancock D,Morrison N,Bruskiewich R,McLaren G","journal":"AoB Plants","doi":"10.1093/aobpla/plq008","created_at":"2021-09-30T08:24:45.859Z","updated_at":"2021-09-30T08:24:45.859Z"},{"id":2198,"pubmed_id":22934074,"title":"Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice.","year":2012,"url":"http://doi.org/10.3389/fphys.2012.00326","authors":"Shrestha R,Matteis L,Skofic M,Portugal A,McLaren G,Hyman G,Arnaud E","journal":"Front Physiol","doi":"10.3389/fphys.2012.00326","created_at":"2021-09-30T08:26:27.748Z","updated_at":"2021-09-30T08:26:27.748Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":477,"relation":"undefined"}],"grants":[{"id":5596,"fairsharing_record_id":397,"organisation_id":485,"relation":"funds","created_at":"2021-09-30T09:27:32.834Z","updated_at":"2021-09-30T09:27:32.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5595,"fairsharing_record_id":397,"organisation_id":2272,"relation":"funds","created_at":"2021-09-30T09:27:32.804Z","updated_at":"2021-09-30T09:27:32.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":5597,"fairsharing_record_id":397,"organisation_id":282,"relation":"funds","created_at":"2021-09-30T09:27:32.884Z","updated_at":"2021-09-30T09:27:32.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5599,"fairsharing_record_id":397,"organisation_id":1458,"relation":"funds","created_at":"2021-09-30T09:27:32.960Z","updated_at":"2021-09-30T09:27:32.960Z","grant_id":null,"is_lead":false,"saved_state":{"id":1458,"name":"Integrated Breeding Platform (IBP), Mexico, Mexico","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":5600,"fairsharing_record_id":397,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:27:33.001Z","updated_at":"2021-09-30T09:27:33.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5598,"fairsharing_record_id":397,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:32.924Z","updated_at":"2021-09-30T09:30:54.117Z","grant_id":926,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#1340112","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBCZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--776cb0c3be592f850fc0c898de73963446bb0785/Capture%20d%E2%80%99e%CC%81cran%202022-01-26%20a%CC%80%2013.41.07.png?disposition=inline","exhaustive_licences":false}},{"id":"398","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:35.174Z","metadata":{"doi":"10.25504/FAIRsharing.kfs4pj","name":"Pseudogene","status":"ready","contacts":[{"contact_name":"Gerstein Lab","contact_email":"yhl3@gersteinlab.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/1135","identifier":398,"description":"This ontology is about human pseudogenes, extending the existing SO framework to incorporate additional attributes. Relationships between pseudogenes and segmental duplications are defined in this standard. To answer research questions and to annotate pseudogenes appropriately, a series of logical rules using SWRL was created.","abbreviation":"Pseudo","year_creation":2008},"legacy_ids":["bsg-002579","bsg-s002579"],"name":"FAIRsharing record for: Pseudogene","abbreviation":"Pseudo","url":"https://fairsharing.org/10.25504/FAIRsharing.kfs4pj","doi":"10.25504/FAIRsharing.kfs4pj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is about human pseudogenes, extending the existing SO framework to incorporate additional attributes. Relationships between pseudogenes and segmental duplications are defined in this standard. To answer research questions and to annotate pseudogenes appropriately, a series of logical rules using SWRL was created.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Pseudogene","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1882,"pubmed_id":20529940,"title":"Using semantic web rules to reason on an ontology of pseudogenes.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq173","authors":"Holford ME,Khurana E,Cheung KH,Gerstein M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq173","created_at":"2021-09-30T08:25:51.715Z","updated_at":"2021-09-30T08:25:51.715Z"}],"licence_links":[],"grants":[{"id":5601,"fairsharing_record_id":398,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:33.061Z","updated_at":"2021-09-30T09:29:53.704Z","grant_id":455,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 DA021253","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8109,"fairsharing_record_id":398,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:00.688Z","updated_at":"2021-09-30T09:31:00.746Z","grant_id":977,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"P01 DC04732","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"381","type":"fairsharing_records","attributes":{"created_at":"2019-04-17T07:23:38.000Z","updated_at":"2024-01-28T15:58:27.773Z","metadata":{"doi":"10.25504/FAIRsharing.r7Kwy7","name":"CAS Registry Number","status":"ready","contacts":[{"contact_name":"CAS Helpdesk","contact_email":"help@cas.org"}],"homepage":"https://www.cas.org/support/documentation/chemical-substances/faqs#2","citations":[],"identifier":381,"description":"Identifier used by the Chemical Abstracts Service Registry. A CAS Registry Number is a numeric identifier that can contain up to 10 digits, divided by hyphens into three parts. The right-most digit is a check digit used to verify the validity and uniqueness of the entire number.","abbreviation":"CAS RN","support_links":[{"url":"https://www.cas.org/contact","name":"Contact","type":"Contact form"}],"cross_references":[{"url":"https://bioregistry.io/registry/cas","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/cas","name":"identifiers.org","portal":"Other"}],"regular_expression":"^\\d{1,7}\\-\\d{2}\\-\\d$"},"legacy_ids":["bsg-001363","bsg-s001363"],"name":"FAIRsharing record for: CAS Registry Number","abbreviation":"CAS RN","url":"https://fairsharing.org/10.25504/FAIRsharing.r7Kwy7","doi":"10.25504/FAIRsharing.r7Kwy7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Identifier used by the Chemical Abstracts Service Registry. A CAS Registry Number is a numeric identifier that can contain up to 10 digits, divided by hyphens into three parts. The right-most digit is a check digit used to verify the validity and uniqueness of the entire number.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11740}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Cheminformatics"],"domains":["Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3481,"pubmed_id":null,"title":"CAS Common Chemistry in 2021: Expanding Access to Trusted Chemical Information for the Scientific Community","year":2022,"url":"http://dx.doi.org/10.1021/acs.jcim.2c00268","authors":"Jacobs, Andrea; Williams, Dustin; Hickey, Katherine; Patrick, Nathan; Williams, Antony J.; Chalk, Stuart; McEwen, Leah; Willighagen, Egon; Walker, Martin; Bolton, Evan; Sinclair, Gabriel; Sanford, Adam; ","journal":"J. Chem. Inf. Model.","doi":"10.1021/acs.jcim.2c00268","created_at":"2022-07-21T06:43:02.794Z","updated_at":"2022-07-21T06:43:02.794Z"}],"licence_links":[],"grants":[{"id":5558,"fairsharing_record_id":381,"organisation_id":498,"relation":"maintains","created_at":"2021-09-30T09:27:31.689Z","updated_at":"2021-09-30T09:27:31.689Z","grant_id":null,"is_lead":true,"saved_state":{"id":498,"name":"Chemical Abstracts Service, Columbus, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"382","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:19.434Z","metadata":{"doi":"10.25504/FAIRsharing.gjn0y","name":"Quantitative Imaging Biomarker Ontology","status":"deprecated","contacts":[{"contact_name":"David Paik","contact_email":"termite@stanford.edu","contact_orcid":"0000-0002-7830-312X"}],"homepage":"http://bioportal.bioontology.org/ontologies/1671","identifier":382,"description":"An ontology that describes various concepts in quantitative imaging biomarkers.","abbreviation":"QIBO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/QIBO","name":"QIBO","portal":"BioPortal"}],"deprecation_date":"2019-06-05","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-002757","bsg-s002757"],"name":"FAIRsharing record for: Quantitative Imaging Biomarker Ontology","abbreviation":"QIBO","url":"https://fairsharing.org/10.25504/FAIRsharing.gjn0y","doi":"10.25504/FAIRsharing.gjn0y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that describes various concepts in quantitative imaging biomarkers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Biomarker","Imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2421,"pubmed_id":23589184,"title":"Quantitative imaging biomarker ontology (QIBO) for knowledge representation of biomedical imaging biomarkers.","year":2013,"url":"http://doi.org/10.1007/s10278-013-9599-2","authors":"Buckler AJ,Liu TT,Savig E,Suzek BE,Rubin DL,Paik D","journal":"J Digit Imaging","doi":"10.1007/s10278-013-9599-2","created_at":"2021-09-30T08:26:57.068Z","updated_at":"2021-09-30T08:26:57.068Z"}],"licence_links":[],"grants":[{"id":5559,"fairsharing_record_id":382,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:31.720Z","updated_at":"2021-09-30T09:27:31.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5560,"fairsharing_record_id":382,"organisation_id":2025,"relation":"funds","created_at":"2021-09-30T09:27:31.753Z","updated_at":"2021-09-30T09:31:51.968Z","grant_id":1362,"is_lead":false,"saved_state":{"id":2025,"name":"National Institute of Standards and Technology (NIST), Gaithersburg MD, USA","grant":"70NANB10H223","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"383","type":"fairsharing_records","attributes":{"created_at":"2017-07-31T16:05:01.000Z","updated_at":"2023-02-28T10:14:00.281Z","metadata":{"doi":"10.25504/FAIRsharing.9xytp6","name":"UK Environmental Observation Framework","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"office@ukeof.org.uk"}],"homepage":"http://www.ukeof.org.uk/schema","identifier":383,"description":"This schema, expressed in XML, defines four elements which relate to the environmental monitoring object types: Programme, Activity, Network and Facility.","abbreviation":"UKEOF","support_links":[{"url":"office@ukeof.org.uk","name":"Contact email","type":"Support email"},{"url":"http://www.ukeof.org.uk/schema/1/schema-guidelines-v1","name":"schema documentation","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-000715","bsg-s000715"],"name":"FAIRsharing record for: UK Environmental Observation Framework","abbreviation":"UKEOF","url":"https://fairsharing.org/10.25504/FAIRsharing.9xytp6","doi":"10.25504/FAIRsharing.9xytp6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This schema, expressed in XML, defines four elements which relate to the environmental monitoring object types: Programme, Activity, Network and Facility.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geology","Natural Science"],"domains":["Climate","Observation design"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5563,"fairsharing_record_id":383,"organisation_id":664,"relation":"funds","created_at":"2021-09-30T09:27:31.826Z","updated_at":"2021-09-30T09:27:31.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":664,"name":"Department for Environment, Food \u0026 Rural Affairs, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5561,"fairsharing_record_id":383,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:31.777Z","updated_at":"2021-09-30T09:27:31.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5562,"fairsharing_record_id":383,"organisation_id":2896,"relation":"maintains","created_at":"2021-09-30T09:27:31.803Z","updated_at":"2021-09-30T09:27:31.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":2896,"name":"UK Environmental Observations Framework","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"409","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-24T08:34:05.344Z","metadata":{"doi":"10.25504/FAIRsharing.atygwy","name":"Web Ontology Language","status":"ready","contacts":[{"contact_name":"OWL Mailing List and General Contact","contact_email":"public-owl-dev@w3.org","contact_orcid":null}],"homepage":"http://www.w3.org/TR/owl-overview/","citations":[],"identifier":409,"description":"The Web Ontology Language (OWL) is a family of knowledge representation languages or ontology languages for authoring ontologies or knowledge bases. The languages are characterized by formal semantics and RDF/XML-based serializations for the Semantic Web. OWL is endorsed by the World Wide Web Consortium (W3C) and has attracted academic, medical and commercial interest. The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents.","abbreviation":"OWL","support_links":[{"url":"team-owl-chairs@w3.org","type":"Support email"},{"url":"http://www.w3.org/blog/tags/owl/","type":"Help documentation"},{"url":"public-owl-comments@w3.org","type":"Mailing list"},{"url":"public-owl-dev@w3.org","type":"Mailing list"},{"url":"http://www.w3.org/TR/owl-guide/","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000560","bsg-s000560"],"name":"FAIRsharing record for: Web Ontology Language","abbreviation":"OWL","url":"https://fairsharing.org/10.25504/FAIRsharing.atygwy","doi":"10.25504/FAIRsharing.atygwy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Web Ontology Language (OWL) is a family of knowledge representation languages or ontology languages for authoring ontologies or knowledge bases. The languages are characterized by formal semantics and RDF/XML-based serializations for the Semantic Web. OWL is endorsed by the World Wide Web Consortium (W3C) and has attracted academic, medical and commercial interest. The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14569}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics","Computer Science","Subject Agnostic","Ontology and Terminology"],"domains":["Knowledge representation"],"taxonomies":["All"],"user_defined_tags":["Semantic"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":3612,"relation":"applies_to_content"}],"grants":[{"id":11748,"fairsharing_record_id":409,"organisation_id":4352,"relation":"maintains","created_at":"2024-04-24T08:24:40.975Z","updated_at":"2024-04-24T08:24:40.975Z","grant_id":null,"is_lead":true,"saved_state":{"id":4352,"name":"W3C OWL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2tFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1d9ee85d5894ce8bf8669ee55cc06508c00a2ffb/Screenshot%20from%202024-04-24%2009-19-48.png?disposition=inline","exhaustive_licences":true}},{"id":"410","type":"fairsharing_records","attributes":{"created_at":"2017-09-15T13:44:36.000Z","updated_at":"2021-11-24T13:17:40.089Z","metadata":{"doi":"10.25504/FAIRsharing.es2t25","name":"Asset Description Metadata Schema","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"isa2@ec.europa.eu"}],"homepage":"https://joinup.ec.europa.eu/asset/adms/description","identifier":410,"description":"ADMS is a schema used to describe data models and specifications, reference data and open source software. The standard aims to extend the use of ADMS for the description of other types of interoperability solutions, meaning solutions covering the political, legal, organisational and technical interoperability layers defined by the European Interoperability Framework.","abbreviation":"ADMS","support_links":[{"url":"https://joinup.ec.europa.eu/contact","name":"Joinup Contact","type":"Contact form"},{"url":"https://www.w3.org/TR/vocab-adms/","name":"W3C Note","type":"Help documentation"},{"url":"https://joinup.ec.europa.eu/release/adms-ap-joinup-version/20","name":"Documentation for v2","type":"Help documentation"},{"url":"https://twitter.com/Joinup_eu","name":"Twitter","type":"Twitter"}],"year_creation":2011},"legacy_ids":["bsg-000719","bsg-s000719"],"name":"FAIRsharing record for: Asset Description Metadata Schema","abbreviation":"ADMS","url":"https://fairsharing.org/10.25504/FAIRsharing.es2t25","doi":"10.25504/FAIRsharing.es2t25","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ADMS is a schema used to describe data models and specifications, reference data and open source software. The standard aims to extend the use of ADMS for the description of other types of interoperability solutions, meaning solutions covering the political, legal, organisational and technical interoperability layers defined by the European Interoperability Framework.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"ISA Open Metadata Legal Notice","licence_id":454,"licence_url":"https://joinup.ec.europa.eu/joinup/legal-notice","link_id":1259,"relation":"undefined"}],"grants":[{"id":5624,"fairsharing_record_id":410,"organisation_id":1553,"relation":"maintains","created_at":"2021-09-30T09:27:33.838Z","updated_at":"2021-09-30T09:27:33.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":1553,"name":"ISA Programme","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"458","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:52.563Z","metadata":{"doi":"10.25504/FAIRsharing.975659","name":"PRIDE XML Format","status":"ready","contacts":[{"contact_name":"Henning Hermjakob","contact_email":"hhe@ebi.ac.uk","contact_orcid":"0000-0001-8479-0262"}],"homepage":"http://www.ebi.ac.uk/pride/help/archive/submission/pridexml","identifier":458,"description":"XML submission format for the PRIDE repository at the EBI.","abbreviation":"PRIDE XML Format","support_links":[{"url":"pride-support@ebi.ac.uk","name":"PRIDE Helpdesk","type":"Support email"}],"year_creation":2004,"associated_tools":[{"url":"https://github.com/PRIDE-Toolsuite/pride-inspector","name":"PRIDE Inspector"},{"url":"https://github.com/PRIDE-Toolsuite/pride-converter-2","name":"PRIDE Converter 2"}]},"legacy_ids":["bsg-000561","bsg-s000561"],"name":"FAIRsharing record for: PRIDE XML Format","abbreviation":"PRIDE XML Format","url":"https://fairsharing.org/10.25504/FAIRsharing.975659","doi":"10.25504/FAIRsharing.975659","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML submission format for the PRIDE repository at the EBI.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11200}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics"],"domains":["Mass spectrum","Protein expression profiling"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":99,"pubmed_id":24727771,"title":"ProteomeXchange provides globally coordinated proteomics data submission and dissemination.","year":2014,"url":"http://doi.org/10.1038/nbt.2839","authors":"Vizcaíno JA, Deutsch EW, Wang R, et al.","journal":"Nat Biotechnol.","doi":"10.1038/nbt.2839","created_at":"2021-09-30T08:22:31.122Z","updated_at":"2021-09-30T08:22:31.122Z"},{"id":556,"pubmed_id":25047258,"title":"How to submit MS proteomics data to ProteomeXchange via the PRIDE database.","year":2014,"url":"http://doi.org/10.1002/pmic.201400120","authors":"Ternent T,Csordas A,Qi D,Gomez-Baena G,Beynon RJ,Jones AR,Hermjakob H,Vizcaino JA","journal":"Proteomics","doi":"10.1002/pmic.201400120","created_at":"2021-09-30T08:23:20.710Z","updated_at":"2021-09-30T08:23:20.710Z"},{"id":1277,"pubmed_id":26527722,"title":"2016 update of the PRIDE database and its related tools.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1145","authors":"Vizcaino JA,Csordas A,del-Toro N,Dianes JA,Griss J,Lavidas I,Mayer G,Perez-Riverol Y,Reisinger F,Ternent T,Xu QW,Wang R,Hermjakob H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1145","created_at":"2021-09-30T08:24:42.539Z","updated_at":"2021-09-30T11:29:05.176Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1053,"relation":"undefined"}],"grants":[{"id":5702,"fairsharing_record_id":458,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:36.282Z","updated_at":"2021-09-30T09:27:36.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5703,"fairsharing_record_id":458,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:36.306Z","updated_at":"2021-09-30T09:30:31.551Z","grant_id":747,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K01997X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8285,"fairsharing_record_id":458,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:54.389Z","updated_at":"2021-09-30T09:31:54.462Z","grant_id":1380,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I00095X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5700,"fairsharing_record_id":458,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:36.232Z","updated_at":"2021-09-30T09:27:36.232Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5701,"fairsharing_record_id":458,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:36.256Z","updated_at":"2021-09-30T09:31:07.322Z","grant_id":1026,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT101477MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8305,"fairsharing_record_id":458,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:00.505Z","updated_at":"2021-09-30T09:32:00.579Z","grant_id":1426,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024225/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"459","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-12-23T18:07:14.016Z","metadata":{"doi":"10.25504/FAIRsharing.d8f1x9","name":"Research Network and Patient Registry Inventory Ontology","status":"ready","contacts":[{"contact_name":"Seena Farzaneh","contact_email":"sfarzaneh@ucsd.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/RNPRIO","citations":[],"identifier":459,"description":"Ontology for Inventories of Clinical Data Research Networks, Patient-Powered Research Networks, and Patient Registries","abbreviation":"RNPRIO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RNPRIO","name":"RNPRIO","portal":"BioPortal"}]},"legacy_ids":["bsg-001040","bsg-s001040"],"name":"FAIRsharing record for: Research Network and Patient Registry Inventory Ontology","abbreviation":"RNPRIO","url":"https://fairsharing.org/10.25504/FAIRsharing.d8f1x9","doi":"10.25504/FAIRsharing.d8f1x9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Inventories of Clinical Data Research Networks, Patient-Powered Research Networks, and Patient Registries","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Clinical Studies","Data Management","Medical Informatics"],"domains":["Monitoring","Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"461","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:07.940Z","metadata":{"doi":"10.25504/FAIRsharing.shm2f2","name":"Radiology Lexicon","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"radlexfeedback@rsna.org"}],"homepage":"https://www.rsna.org/en/practice-tools/data-tools-and-standards/radlex-radiology-lexicon","identifier":461,"description":"RadLex is a comprehensive lexicon—a unified language of radiology terms—for standardized indexing and retrieval of radiology information resources. With more than 68,000 terms, RadLex satisfies the needs of software developers, system vendors and radiology users by adopting the best features of existing terminology systems while producing new terms to fill critical gaps. RadLex also provides a comprehensive and technology-friendly replacement for the ACR Index for Radiological Diagnoses. It unifies and supplements other lexicons and standards, such as SNOMED-CT and DICOM. RadLex development has received support from both the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and the cancer Biomedical Informatics Grid (caBIG) project.","abbreviation":"RadLex","support_links":[{"url":"https://docs.google.com/document/d/10zRIBkXyj1eLt3LS_A7w3gSGRedXXoYvucH6H4trCZY/edit?hl=en#","type":"Help documentation"}],"year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RADLEX","name":"RADLEX","portal":"BioPortal"}]},"legacy_ids":["bsg-002633","bsg-s002633"],"name":"FAIRsharing record for: Radiology Lexicon","abbreviation":"RadLex","url":"https://fairsharing.org/10.25504/FAIRsharing.shm2f2","doi":"10.25504/FAIRsharing.shm2f2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RadLex is a comprehensive lexicon—a unified language of radiology terms—for standardized indexing and retrieval of radiology information resources. With more than 68,000 terms, RadLex satisfies the needs of software developers, system vendors and radiology users by adopting the best features of existing terminology systems while producing new terms to fill critical gaps. RadLex also provides a comprehensive and technology-friendly replacement for the ACR Index for Radiological Diagnoses. It unifies and supplements other lexicons and standards, such as SNOMED-CT and DICOM. RadLex development has received support from both the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and the cancer Biomedical Informatics Grid (caBIG) project.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18158},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12080},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12500}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Radiology","Clinical Studies","Biomedical Science","Medical Informatics"],"domains":["Medical imaging","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":650,"pubmed_id":10789815,"title":"Radiology lexicon.","year":2000,"url":"http://doi.org/10.2214/ajr.174.5.1741463","authors":"Casford B","journal":"AJR Am J Roentgenol","doi":"10.2214/ajr.174.5.1741463","created_at":"2021-09-30T08:23:31.586Z","updated_at":"2021-09-30T08:23:31.586Z"},{"id":2639,"pubmed_id":19081735,"title":"The IR RadLex project: an interventional radiology lexicon--a collaborative project of the Radiological Society of North America and the Society of Interventional Radiology.","year":2008,"url":"http://doi.org/10.1016/j.jvir.2008.10.022","authors":"Kundu S,Itkin M,Gervais DA,Krishnamurthy VN,Wallace MJ,Cardella JF,Rubin DL,Langlotz CP","journal":"J Vasc Interv Radiol","doi":"10.1016/j.jvir.2008.10.022","created_at":"2021-09-30T08:27:24.105Z","updated_at":"2021-09-30T08:27:24.105Z"},{"id":2640,"pubmed_id":19560008,"title":"The IR Radlex Project: an interventional radiology lexicon--a collaborative project of the Radiological Society of North America and the Society of Interventional Radiology.","year":2009,"url":"http://doi.org/10.1016/j.jvir.2009.04.031","authors":"Kundu S,Itkin M,Gervais DA,Krishnamurthy VN,Wallace MJ,Cardella JF,Rubin DL,Langlotz CP","journal":"J Vasc Interv Radiol","doi":"10.1016/j.jvir.2009.04.031","created_at":"2021-09-30T08:27:24.223Z","updated_at":"2021-09-30T08:27:24.223Z"}],"licence_links":[{"licence_name":"RadLex License Version 2.0","licence_id":696,"licence_url":"http://www.rsna.org/uploadedFiles/RSNA/Content/Informatics/RadLex_License_Agreement_and_Terms_of_Use_V2_Final.pdf","link_id":1465,"relation":"undefined"}],"grants":[{"id":5704,"fairsharing_record_id":461,"organisation_id":2400,"relation":"maintains","created_at":"2021-09-30T09:27:36.332Z","updated_at":"2021-09-30T09:27:36.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2400,"name":"Radiological Society of North America","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"463","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:25:43.000Z","updated_at":"2022-07-20T12:10:58.295Z","metadata":{"name":"Country and Location Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_705:ROOT","citations":[],"identifier":463,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Country and Location Ontology is one of these reference ontologies integrated within the Crop Ontology. It has been adapted from ISO 3166-1 country codes and covers the official ISO 3166-1 alpha-2, alpha-3 and numeric country codes.","abbreviation":"CO_705","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2007,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001173","bsg-s001173"],"name":"FAIRsharing record for: Country and Location Ontology","abbreviation":"CO_705","url":"https://fairsharing.org/fairsharing_records/463","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Country and Location Ontology is one of these reference ontologies integrated within the Crop Ontology. It has been adapted from ISO 3166-1 country codes and covers the official ISO 3166-1 alpha-2, alpha-3 and numeric country codes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography","Subject Agnostic"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Mexico","Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":481,"relation":"undefined"}],"grants":[{"id":5707,"fairsharing_record_id":463,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:27:36.406Z","updated_at":"2021-09-30T09:27:36.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5708,"fairsharing_record_id":463,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:36.433Z","updated_at":"2021-09-30T09:27:36.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"464","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-22T11:44:44.361Z","metadata":{"doi":"10.25504/FAIRsharing.z2cz7s","name":"Molgula oculata Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself.communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":464,"description":"The first ontology describing the anatomy and the development of Molgula oculata.","abbreviation":"MOOCULADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOOCULADO","name":"MOOCULADO","portal":"BioPortal"}]},"legacy_ids":["bsg-001045","bsg-s001045"],"name":"FAIRsharing record for: Molgula oculata Anatomy and Development Ontology","abbreviation":"MOOCULADO","url":"https://fairsharing.org/10.25504/FAIRsharing.z2cz7s","doi":"10.25504/FAIRsharing.z2cz7s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Molgula oculata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Molgula oculata"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10441,"fairsharing_record_id":464,"organisation_id":1974,"relation":"funds","created_at":"2023-03-22T10:48:07.576Z","updated_at":"2023-03-22T10:48:07.576Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"465","type":"fairsharing_records","attributes":{"created_at":"2019-01-21T20:25:46.000Z","updated_at":"2022-11-01T11:58:13.126Z","metadata":{"doi":"10.25504/FAIRsharing.TUq8Zj","name":"FAIR Metrics - Identifier Persistence","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F1B","citations":[],"identifier":465,"description":"The FM-F1B Metric provides information regarding whether or not there is a policy that describes what the provider will do in the event an identifier scheme becomes deprecated. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must ensure that they have a policy to manage changes in their identifier scheme, with a specific emphasis on maintaining/redirecting previously generated identifiers. This metric applies to part F1 of the FAIR Principles.","abbreviation":"FM-F1B","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001342","bsg-s001342"],"name":"FAIRsharing record for: FAIR Metrics - Identifier Persistence","abbreviation":"FM-F1B","url":"https://fairsharing.org/10.25504/FAIRsharing.TUq8Zj","doi":"10.25504/FAIRsharing.TUq8Zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FM-F1B Metric provides information regarding whether or not there is a policy that describes what the provider will do in the event an identifier scheme becomes deprecated. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must ensure that they have a policy to manage changes in their identifier scheme, with a specific emphasis on maintaining/redirecting previously generated identifiers. This metric applies to part F1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Subject Agnostic"],"domains":["Data identity and mapping","Centrally registered identifier","Digital curation","Data storage","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Data persistence"],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1281,"relation":"undefined"}],"grants":[{"id":5710,"fairsharing_record_id":465,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:36.482Z","updated_at":"2021-09-30T09:27:36.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5709,"fairsharing_record_id":465,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:36.456Z","updated_at":"2021-09-30T09:27:36.456Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5711,"fairsharing_record_id":465,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:36.506Z","updated_at":"2021-09-30T09:27:36.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5712,"fairsharing_record_id":465,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:36.533Z","updated_at":"2021-09-30T09:27:36.533Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"466","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T03:31:45.000Z","updated_at":"2023-03-15T07:53:07.614Z","metadata":{"name":"FFIS Funder Draft Metadata Specification","status":"in_development","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu","contact_orcid":"0000-0001-6875-5360"}],"homepage":"https://openview.metadatacenter.org/templates/https:%2F%2Frepo.metadatacenter.org%2Ftemplates%2F352a29d7-3df8-4bdd-bd75-e09d16c7063d","citations":[],"identifier":466,"description":"This is the second draft of Funder Metadata specification for the GO FAIR project. It is being used as the basis of a more complete specification for the FAIR Funder Implementation Study.","abbreviation":"FFIS-FunderMD-Draft","year_creation":2019},"legacy_ids":["bsg-001398","bsg-s001398"],"name":"FAIRsharing record for: FFIS Funder Draft Metadata Specification","abbreviation":"FFIS-FunderMD-Draft","url":"https://fairsharing.org/fairsharing_records/466","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is the second draft of Funder Metadata specification for the GO FAIR project. It is being used as the basis of a more complete specification for the FAIR Funder Implementation Study.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Resource metadata","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Document metadata"],"countries":["Ireland","Netherlands","United States"],"publications":[],"licence_links":[],"grants":[{"id":5713,"fairsharing_record_id":466,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:27:36.556Z","updated_at":"2021-09-30T09:27:36.556Z","grant_id":null,"is_lead":true,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5714,"fairsharing_record_id":466,"organisation_id":1187,"relation":"maintains","created_at":"2021-09-30T09:27:36.582Z","updated_at":"2021-09-30T09:27:36.582Z","grant_id":null,"is_lead":true,"saved_state":{"id":1187,"name":"GO FAIR","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"467","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:37:11.000Z","updated_at":"2022-07-20T11:54:28.032Z","metadata":{"name":"Bioversity Molecular Markers Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_500:ROOT","citations":[],"identifier":467,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Bioversity Molecular Markers Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Genetic Markers Technologies (2004) by Carmen De Vicente, Thomas Metz and Adriana Alercia.","abbreviation":"CO_500","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2007,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001174","bsg-s001174"],"name":"FAIRsharing record for: Bioversity Molecular Markers Ontology","abbreviation":"CO_500","url":"https://fairsharing.org/fairsharing_records/467","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Bioversity Molecular Markers Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Genetic Markers Technologies (2004) by Carmen De Vicente, Thomas Metz and Adriana Alercia.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Genetic marker"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Mexico","Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":561,"relation":"undefined"}],"grants":[{"id":5716,"fairsharing_record_id":467,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:36.655Z","updated_at":"2021-09-30T09:27:36.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5715,"fairsharing_record_id":467,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:36.613Z","updated_at":"2021-09-30T09:27:36.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"468","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-07-22T19:20:46.943Z","metadata":{"doi":"10.25504/FAIRsharing.80d8cg","name":"An ontology for experimental actions","status":"ready","contacts":[{"contact_name":"Larisa Soldatova","contact_email":"soldatova.larisa@gmail.com"}],"homepage":"https://github.com/larisa-soldatova/EXACT","citations":[],"identifier":468,"description":"EXACT aims to explicitly define the semantics of experimental protocols in order to ensure their reproducibility, and to support computer applications that assist biologists in the preparation, maintenance, submission and sharing of experimental protocols.","abbreviation":"EXACT","support_links":[{"url":"https://www.aber.ac.uk/en/cs/research/cb/dss/exact/","name":"Project page (Aberystwyth University)","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EXACT","name":"EXACT","portal":"BioPortal"}]},"legacy_ids":["bsg-001046","bsg-s001046"],"name":"FAIRsharing record for: An ontology for experimental actions","abbreviation":"EXACT","url":"https://fairsharing.org/10.25504/FAIRsharing.80d8cg","doi":"10.25504/FAIRsharing.80d8cg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EXACT aims to explicitly define the semantics of experimental protocols in order to ensure their reproducibility, and to support computer applications that assist biologists in the preparation, maintenance, submission and sharing of experimental protocols.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Experimental measurement","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":3493,"pubmed_id":null,"title":"The EXACT description of biomedical protocols","year":2008,"url":"http://dx.doi.org/10.1093/bioinformatics/btn156","authors":"Soldatova, L. N.; Aubrey, W.; King, R. D.; Clare, A.; ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn156","created_at":"2022-07-22T12:59:44.753Z","updated_at":"2022-07-22T12:59:44.753Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"470","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:16:46.203Z","metadata":{"doi":"10.25504/FAIRsharing.aef0q5","name":"Cognitive Atlas","status":"ready","contacts":[{"contact_name":"Russell Poldrack","contact_email":"poldrack@mail.utexas.edu","contact_orcid":"0000-0001-6755-0259"}],"homepage":"http://www.cognitiveatlas.org/","identifier":470,"description":"The Cognitive Atlas is a collaborative knowledge building project that aims to develop a knowledge base (or ontology) that characterizes the state of current thought in cognitive science. Cognitive neuroscience aims to map mental processes onto brain function, which begs the question of what \"mental processes\" exist and how they relate to the tasks that are used to manipulate and measure them.","abbreviation":"CogAt","support_links":[{"url":"http://blog.cognitiveatlas.org/","type":"Blog/News"},{"url":"http://www.cognitiveatlas.org/about","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COGAT","name":"COGAT","portal":"BioPortal"}]},"legacy_ids":["bsg-002730","bsg-s002730"],"name":"FAIRsharing record for: Cognitive Atlas","abbreviation":"CogAt","url":"https://fairsharing.org/10.25504/FAIRsharing.aef0q5","doi":"10.25504/FAIRsharing.aef0q5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cognitive Atlas is a collaborative knowledge building project that aims to develop a knowledge base (or ontology) that characterizes the state of current thought in cognitive science. Cognitive neuroscience aims to map mental processes onto brain function, which begs the question of what \"mental processes\" exist and how they relate to the tasks that are used to manipulate and measure them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Cognitive Neuroscience","Biomedical Science"],"domains":["Behavior","Cognition","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1121,"pubmed_id":21922006,"title":"The cognitive atlas: toward a knowledge foundation for cognitive neuroscience.","year":2011,"url":"http://doi.org/10.3389/fninf.2011.00017","authors":"Poldrack RA,Kittur A,Kalar D,Miller E,Seppa C,Gil Y,Parker DS,Sabb FW,Bilder RM","journal":"Front Neuroinform","doi":"10.3389/fninf.2011.00017","created_at":"2021-09-30T08:24:24.172Z","updated_at":"2021-09-30T08:24:24.172Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 United States (CC BY-SA 3.0 US)","licence_id":193,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/us/","link_id":274,"relation":"undefined"}],"grants":[{"id":5717,"fairsharing_record_id":470,"organisation_id":2112,"relation":"funds","created_at":"2021-09-30T09:27:36.696Z","updated_at":"2022-01-16T08:34:40.003Z","grant_id":239,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","grant":"UL1-DE019580","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8106,"fairsharing_record_id":470,"organisation_id":2112,"relation":"funds","created_at":"2021-09-30T09:30:59.622Z","updated_at":"2022-01-16T08:34:40.020Z","grant_id":969,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","grant":"RL1LM009833","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5718,"fairsharing_record_id":470,"organisation_id":547,"relation":"maintains","created_at":"2021-09-30T09:27:36.735Z","updated_at":"2021-09-30T09:27:36.735Z","grant_id":null,"is_lead":false,"saved_state":{"id":547,"name":"Cognitive Atlas (COGAT) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5719,"fairsharing_record_id":470,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:27:36.769Z","updated_at":"2021-09-30T09:30:12.163Z","grant_id":596,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"RO1MH082795","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7928,"fairsharing_record_id":470,"organisation_id":2112,"relation":"funds","created_at":"2021-09-30T09:29:51.350Z","updated_at":"2022-01-16T08:34:40.084Z","grant_id":437,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","grant":"PL1MH083271","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"471","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.174Z","metadata":{"doi":"10.25504/FAIRsharing.bst9e4","name":"Traditional Medicine Constitution Value Set","status":"ready","contacts":[{"contact_name":"Meri Robinson Nicol","contact_email":"robinsonm@who.int"}],"homepage":"https://sites.google.com/site/whoictm/home","identifier":471,"description":"The value set for the Constitution property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-CONST","support_links":[{"url":"tudorache@stanford.edu","name":"Tania Tudorache","type":"Support email"},{"url":"http://phoenix-local-news.blogspot.fr/2010/12/first-ever-information-standards-for.html","type":"Help documentation"},{"url":"http://www.acupuncturetoday.com/mpacms/at/article.php?id=32456","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-CONST","name":"TM-CONST","portal":"BioPortal"}]},"legacy_ids":["bsg-002703","bsg-s002703"],"name":"FAIRsharing record for: Traditional Medicine Constitution Value Set","abbreviation":"TM-CONST","url":"https://fairsharing.org/10.25504/FAIRsharing.bst9e4","doi":"10.25504/FAIRsharing.bst9e4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The value set for the Constitution property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5720,"fairsharing_record_id":471,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:36.807Z","updated_at":"2021-09-30T09:27:36.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5721,"fairsharing_record_id":471,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:27:36.871Z","updated_at":"2021-09-30T09:27:36.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"472","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:45:31.898Z","metadata":{"doi":"10.25504/FAIRsharing.n3rt95","name":"HMMER Profile File Format","status":"ready","contacts":[{"contact_name":"Robert D Finn","contact_email":"rdf@ebi.ac.uk"}],"homepage":"http://www.hmmer.org","citations":[{"doi":"10.1093/nar/gkv397","pubmed_id":25943547,"publication_id":1767}],"identifier":472,"description":"The profile hidden Markov Model (HMM) calculated from multiple sequence alignment data in this service is stored in Profile HMM save format (usually with \".hmm\" extension). It is an ASCII file containing a lot of header and descriptive records followed by large numerical matrix which holds a probabilistic model of the motif. The file of this format is useful to search against sequence databases to find other proteins which share the same motif.","abbreviation":null,"support_links":[{"url":"https://cryptogenomicon.org/category/hmmer/","name":"HMMER Blog","type":"Blog/News"},{"url":"http://www.hmmer.org/publications.html","name":"Publications","type":"Help documentation"},{"url":"http://www.hmmer.org/documentation.html","name":"HMMER Documentation","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/similarity-searching-multiple-sequence-alignment-and-protein-families-undergraduate-lab","name":"Similarity searching, multiple sequence alignment and protein families - undergraduate lab","type":"TeSS links to training materials"}],"year_creation":1993},"legacy_ids":["bsg-000239","bsg-s000239"],"name":"FAIRsharing record for: HMMER Profile File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.n3rt95","doi":"10.25504/FAIRsharing.n3rt95","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The profile hidden Markov Model (HMM) calculated from multiple sequence alignment data in this service is stored in Profile HMM save format (usually with \".hmm\" extension). It is an ASCII file containing a lot of header and descriptive records followed by large numerical matrix which holds a probabilistic model of the motif. The file of this format is useful to search against sequence databases to find other proteins which share the same motif.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Hidden Markov model","Multiple sequence alignment","Genetic polymorphism","Amino acid sequence","Homologous","Sequence motif"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1767,"pubmed_id":25943547,"title":"HMMER web server: 2015 update.","year":2015,"url":"http://doi.org/10.1093/nar/gkv397","authors":"Finn RD,Clements J,Arndt W,Miller BL,Wheeler TJ,Schreiber F,Bateman A,Eddy SR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv397","created_at":"2021-09-30T08:25:38.228Z","updated_at":"2021-09-30T11:29:20.394Z"},{"id":1803,"pubmed_id":15831105,"title":"Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-99","authors":"Wistrand M,Sonnhammer EL","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-99","created_at":"2021-09-30T08:25:42.438Z","updated_at":"2021-09-30T08:25:42.438Z"}],"licence_links":[],"grants":[{"id":5723,"fairsharing_record_id":472,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:36.955Z","updated_at":"2021-09-30T09:29:24.371Z","grant_id":234,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"108433/Z/15/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5722,"fairsharing_record_id":472,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:36.914Z","updated_at":"2021-09-30T09:27:36.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5725,"fairsharing_record_id":472,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:27:37.026Z","updated_at":"2021-09-30T09:27:37.026Z","grant_id":null,"is_lead":true,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5726,"fairsharing_record_id":472,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:27:37.049Z","updated_at":"2021-09-30T09:27:37.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9232,"fairsharing_record_id":472,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.117Z","updated_at":"2022-04-11T12:07:24.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"473","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.260Z","metadata":{"doi":"10.25504/FAIRsharing.5dvejq","name":"Traditional Medicine Other Factors Value Set","status":"ready","contacts":[{"contact_name":"Tania Tudorache","contact_email":"tudorache@stanford.edu"}],"homepage":"https://sites.google.com/site/whoictm/home","identifier":473,"description":"The value set for the Other Factors property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-OTHER-FACTORS","support_links":[{"url":"https://sites.google.com/site/whoictm/press","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-OTHER-FACTORS","name":"TM-OTHER-FACTORS","portal":"BioPortal"}]},"legacy_ids":["bsg-002704","bsg-s002704"],"name":"FAIRsharing record for: Traditional Medicine Other Factors Value Set","abbreviation":"TM-OTHER-FACTORS","url":"https://fairsharing.org/10.25504/FAIRsharing.5dvejq","doi":"10.25504/FAIRsharing.5dvejq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The value set for the Other Factors property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":703,"relation":"undefined"}],"grants":[{"id":5727,"fairsharing_record_id":473,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:37.074Z","updated_at":"2021-09-30T09:27:37.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5728,"fairsharing_record_id":473,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:27:37.102Z","updated_at":"2021-09-30T09:27:37.102Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"479","type":"fairsharing_records","attributes":{"created_at":"2021-06-16T20:46:46.000Z","updated_at":"2022-07-20T11:26:03.940Z","metadata":{"name":"LUMC Clinical Ontology","status":"in_development","contacts":[{"contact_name":"Núria Queralt Rosinach","contact_email":"nqueralt.r@gmail.com","contact_orcid":"0000-0003-0169-8159"}],"homepage":"https://lumc-biosemantics.github.io/beat-covid/docs/LUMC-Clinical-Ontology.html","identifier":479,"description":"The LUMC clinical ontology is a standard for efficient biomedical research in academic hospitals such as the LUMC. It is an ontology represented in OWL, a Semantic Web W3C recommended standard, to facilitate meaningful integration of different patient data within a hospital as well as to improve interoperability of clinical data, i.e. the “I” in the FAIR principles, for queries across external Linked Open Data and other clinical datasets from other hospitals on the Web.","abbreviation":"LCO","support_links":[{"url":"https://github.com/LUMC-BioSemantics/beat-covid/tree/master/fair-data-model/lumc-clinical-ontology/competency-questions","name":"Competency Questions","type":"Github"},{"url":"https://github.com/LUMC-BioSemantics/beat-covid/tree/master/fair-data-model/lumc-clinical-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2021},"legacy_ids":["bsg-001616","bsg-s001616"],"name":"FAIRsharing record for: LUMC Clinical Ontology","abbreviation":"LCO","url":"https://fairsharing.org/fairsharing_records/479","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LUMC clinical ontology is a standard for efficient biomedical research in academic hospitals such as the LUMC. It is an ontology represented in OWL, a Semantic Web W3C recommended standard, to facilitate meaningful integration of different patient data within a hospital as well as to improve interoperability of clinical data, i.e. the “I” in the FAIR principles, for queries across external Linked Open Data and other clinical datasets from other hospitals on the Web.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Medical Informatics"],"domains":["Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":5733,"fairsharing_record_id":479,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:27:37.240Z","updated_at":"2021-09-30T09:27:37.240Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"481","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-12-27T17:16:48.183Z","metadata":{"doi":"10.25504/FAIRsharing.y4z3tx","name":"Clinical Study Ontology","status":"ready","contacts":[{"contact_name":"Cameron Coffran","contact_email":"cameron@rockefeller.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/CSO","citations":[],"identifier":481,"description":"Ontology to describe general clinical studies.","abbreviation":"CSO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSO","name":"CSO","portal":"BioPortal"}]},"legacy_ids":["bsg-001053","bsg-s001053"],"name":"FAIRsharing record for: Clinical Study Ontology","abbreviation":"CSO","url":"https://fairsharing.org/10.25504/FAIRsharing.y4z3tx","doi":"10.25504/FAIRsharing.y4z3tx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology to describe general clinical studies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Medical Informatics"],"domains":["Monitoring","Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"482","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:36.583Z","metadata":{"doi":"10.25504/FAIRsharing.3pxg2f","name":"Axt Alignment Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/axt.html","identifier":482,"description":"Axt Alignment files are produced from Blastz, an alignment tool available from Webb Miller's lab at Penn State University. The axtNet and axtChain alignments are produced by processing the alignment files with additional utilities written by Jim Kent at UCSC.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000209","bsg-s000209"],"name":"FAIRsharing record for: Axt Alignment Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.3pxg2f","doi":"10.25504/FAIRsharing.3pxg2f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Axt Alignment files are produced from Blastz, an alignment tool available from Webb Miller's lab at Penn State University. The axtNet and axtChain alignments are produced by processing the alignment files with additional utilities written by Jim Kent at UCSC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5735,"fairsharing_record_id":482,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:37.291Z","updated_at":"2021-09-30T09:27:37.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"483","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-12-23T18:07:06.913Z","metadata":{"doi":"10.25504/FAIRsharing.np2wfz","name":"Zebrafish Experimental Conditions Ontology","status":"ready","contacts":[{"contact_name":"Yvonne Bradford","contact_email":"ybradford@zfin.org"}],"homepage":"https://github.com/ybradford/zebrafish-experimental-conditions-ontology","citations":[],"identifier":483,"description":"This ontology is designed to represent the experimental conditions applied to zebrafish and has been developed to facilitate experiment condition annotation at ZFIN.","abbreviation":"ZECO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZECO","name":"ZECO","portal":"BioPortal"}]},"legacy_ids":["bsg-001054","bsg-s001054"],"name":"FAIRsharing record for: Zebrafish Experimental Conditions Ontology","abbreviation":"ZECO","url":"https://fairsharing.org/10.25504/FAIRsharing.np2wfz","doi":"10.25504/FAIRsharing.np2wfz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is designed to represent the experimental conditions applied to zebrafish and has been developed to facilitate experiment condition annotation at ZFIN.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Animal Physiology","Genetics","Developmental Biology"],"domains":["Expression data","Bibliography","Model organism","Disease process modeling","Mutation","Phenotype","Gene","Allele","Genome"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"484","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:43.389Z","metadata":{"doi":"10.25504/FAIRsharing.cea9zc","name":"Statistical Data and Metadata eXchange","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"secretariat@sdmx.org"}],"homepage":"https://sdmx.org/?page_id=5008","citations":[],"identifier":484,"description":"Statistical Data and Metadata eXchange (SDMX) is an initiative to foster standards for the exchange of statistical information. The SDMX initiative sets standards to facilitate the exchange of statistical data and metadata using modern information technology. Several versions of the technical specifications have been released since 2004. SDMX has also been published as an ISO International Standard (IS 17369).","abbreviation":"SDMX","support_links":[{"url":"https://sdmx.org/?page_id=2555/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2013},"legacy_ids":["bsg-000551","bsg-s000551"],"name":"FAIRsharing record for: Statistical Data and Metadata eXchange","abbreviation":"SDMX","url":"https://fairsharing.org/10.25504/FAIRsharing.cea9zc","doi":"10.25504/FAIRsharing.cea9zc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Statistical Data and Metadata eXchange (SDMX) is an initiative to foster standards for the exchange of statistical information. The SDMX initiative sets standards to facilitate the exchange of statistical data and metadata using modern information technology. Several versions of the technical specifications have been released since 2004. SDMX has also been published as an ISO International Standard (IS 17369).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Statistics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5737,"fairsharing_record_id":484,"organisation_id":3245,"relation":"funds","created_at":"2021-09-30T09:27:37.341Z","updated_at":"2021-09-30T09:27:37.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":3245,"name":"World Bank","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5740,"fairsharing_record_id":484,"organisation_id":2638,"relation":"funds","created_at":"2021-09-30T09:27:37.417Z","updated_at":"2021-09-30T09:27:37.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":2638,"name":"Statistics Division, United Nations Department of Economic and Social Affairs (UN DESA), United Nations, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5736,"fairsharing_record_id":484,"organisation_id":2532,"relation":"maintains","created_at":"2021-09-30T09:27:37.317Z","updated_at":"2021-09-30T09:27:37.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":2532,"name":"SDMX Initiative","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5738,"fairsharing_record_id":484,"organisation_id":163,"relation":"funds","created_at":"2021-09-30T09:27:37.367Z","updated_at":"2021-09-30T09:27:37.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":163,"name":"Bank for International Settlements (BIS)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5739,"fairsharing_record_id":484,"organisation_id":1500,"relation":"funds","created_at":"2021-09-30T09:27:37.391Z","updated_at":"2021-09-30T09:27:37.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":1500,"name":"International Monetary Fund (IMF), Washington D.C., USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5741,"fairsharing_record_id":484,"organisation_id":2637,"relation":"funds","created_at":"2021-09-30T09:27:37.441Z","updated_at":"2021-09-30T09:27:37.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":2637,"name":"Statistical Office of the European Union (Eurostat)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5742,"fairsharing_record_id":484,"organisation_id":909,"relation":"funds","created_at":"2021-09-30T09:27:37.467Z","updated_at":"2021-09-30T09:27:37.467Z","grant_id":null,"is_lead":false,"saved_state":{"id":909,"name":"European Central Bank","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"501","type":"fairsharing_records","attributes":{"created_at":"2018-05-28T15:19:14.000Z","updated_at":"2021-11-24T13:18:37.175Z","metadata":{"doi":"10.25504/FAIRsharing.78Lz1O","name":"ProForma","status":"ready","contacts":[{"contact_name":"Richard LeDuc","contact_email":"richard.leduc@northwestern.edu","contact_orcid":"0000-0002-6951-2923"}],"homepage":"https://topdownproteomics.github.io/ProteoformNomenclatureStandard/","identifier":501,"description":"Developed by the Consortium for Top-Down Proteomics, ProForma is a standardized notation for writing fully characterized proteoforms. A proteoform is a specific set of amino acids arranged in a particular order, which may be further modified (cotranslationally, posttranslationally or chemically) at designated locations. This nomenclature is intended to be both machine and human readable, and to be sufficiently flexible to meet current and foreseeable needs.","abbreviation":"ProForma","support_links":[{"url":"https://github.com/topdownproteomics/ProteoformNomenclatureStandard/blob/master/Standard.md","name":"View Standard","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001213","bsg-s001213"],"name":"FAIRsharing record for: ProForma","abbreviation":"ProForma","url":"https://fairsharing.org/10.25504/FAIRsharing.78Lz1O","doi":"10.25504/FAIRsharing.78Lz1O","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Developed by the Consortium for Top-Down Proteomics, ProForma is a standardized notation for writing fully characterized proteoforms. A proteoform is a specific set of amino acids arranged in a particular order, which may be further modified (cotranslationally, posttranslationally or chemically) at designated locations. This nomenclature is intended to be both machine and human readable, and to be sufficiently flexible to meet current and foreseeable needs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Protein modification","Top-down proteomics","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","France","Switzerland","United Kingdom","United States"],"publications":[{"id":1406,"pubmed_id":29397739,"title":"ProForma: A Standard Proteoform Notation.","year":2018,"url":"http://doi.org/10.1021/acs.jproteome.7b00851","authors":"LeDuc RD,Schwammle V,Shortreed MR,Cesnik AJ,Solntsev SK,Shaw JB,Martin MJ,Vizcaino JA,Alpi E,Danis P,Kelleher NL,Smith LM,Ge Y,Agar JN,Chamot-Rooke J,Loo JA,Pasa-Tolic L,Tsybin YO","journal":"J Proteome Res","doi":"10.1021/acs.jproteome.7b00851","created_at":"2021-09-30T08:24:57.193Z","updated_at":"2021-09-30T08:24:57.193Z"}],"licence_links":[],"grants":[{"id":5758,"fairsharing_record_id":501,"organisation_id":2284,"relation":"maintains","created_at":"2021-09-30T09:27:38.032Z","updated_at":"2021-09-30T09:27:38.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2284,"name":"Pacific Northwest National Laboratory, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5760,"fairsharing_record_id":501,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:27:38.107Z","updated_at":"2021-09-30T09:27:38.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5759,"fairsharing_record_id":501,"organisation_id":3126,"relation":"maintains","created_at":"2021-09-30T09:27:38.070Z","updated_at":"2021-09-30T09:27:38.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":3126,"name":"University of Southern Denmark, Denmark","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5761,"fairsharing_record_id":501,"organisation_id":257,"relation":"maintains","created_at":"2021-09-30T09:27:38.149Z","updated_at":"2021-09-30T09:27:38.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":257,"name":"Biological Magnetic Resonance Data Bank (BMRB)","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"503","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-13T13:25:41.126Z","metadata":{"doi":"10.25504/FAIRsharing.7p0xdg","name":"Data Science Education Ontology","status":"ready","contacts":[{"contact_name":"Jose Luis Ambite","contact_email":"ambite@isi.edu"}],"homepage":"http://bigdatau.org/about_erudite","citations":[],"identifier":503,"description":"Simple SKOS Taxonomy denoting subfields of study in data science for use in educational applications.","abbreviation":"DSEO","support_links":[{"url":"gullyburns@gmail.com","name":"Gully Burns,","type":"Support email"},{"url":"lfierro@isi.edu","name":"Lily Fierro","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DSEO","name":"DSEO","portal":"BioPortal"}]},"legacy_ids":["bsg-001057","bsg-s001057"],"name":"FAIRsharing record for: Data Science Education Ontology","abbreviation":"DSEO","url":"https://fairsharing.org/10.25504/FAIRsharing.7p0xdg","doi":"10.25504/FAIRsharing.7p0xdg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Simple SKOS Taxonomy denoting subfields of study in data science for use in educational applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Education Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["data science"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"504","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:37.000Z","updated_at":"2024-03-21T13:58:59.367Z","metadata":{"doi":"10.25504/FAIRsharing.5v08f2","name":"LINCS Pilot Phase 1 Metadata Standards: Small Molecules","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":504,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Small molecules are used as perturbagens in LINCS experiments.","abbreviation":"LINCS 1: Small Molecules","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_SmallMolecule_Metadata_Released_May-04-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Antibody Reagents standard (https://biosharing.org/bsg-s000655) and as such has been superseded by this standard."},"legacy_ids":["bsg-000664","bsg-s000664"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Small Molecules","abbreviation":"LINCS 1: Small Molecules","url":"https://fairsharing.org/10.25504/FAIRsharing.5v08f2","doi":"10.25504/FAIRsharing.5v08f2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Small molecules are used as perturbagens in LINCS experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11893}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5763,"fairsharing_record_id":504,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.231Z","updated_at":"2021-09-30T09:27:38.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11565,"fairsharing_record_id":504,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:59.197Z","updated_at":"2024-03-21T13:58:59.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"505","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:33.000Z","updated_at":"2024-03-21T13:58:59.680Z","metadata":{"doi":"10.25504/FAIRsharing.c2c96p","name":"LINCS Pilot Phase 1 Metadata Standards: Cell Lines","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":505,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","abbreviation":"LINCS 1: Cell Lines","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_CellLine_Metadata_Release_Apr-11-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Cell line standard (https://biosharing.org/bsg-s000651) and as such has been superseded by this standard."},"legacy_ids":["bsg-000662","bsg-s000662"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Cell Lines","abbreviation":"LINCS 1: Cell Lines","url":"https://fairsharing.org/10.25504/FAIRsharing.c2c96p","doi":"10.25504/FAIRsharing.c2c96p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11904}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5765,"fairsharing_record_id":505,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.306Z","updated_at":"2021-09-30T09:27:38.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11566,"fairsharing_record_id":505,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:59.550Z","updated_at":"2024-03-21T13:58:59.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"506","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T08:43:25.000Z","updated_at":"2024-03-21T13:58:12.226Z","metadata":{"doi":"10.25504/FAIRsharing.300fqe","name":"LINCS Extended Metadata Standard: Embryonic Stem Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Embryonic_Stem_Cell_Metadata_2017.pdf","citations":[],"identifier":506,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Metadata for this standard includes organism name, genetic modifications and precursor cell name.","abbreviation":"LINCS 2: Embryonic Stem Cells","support_links":[{"url":"https://lincsproject.org/LINCS/files/Embryonic_Stem_Cell_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000660","bsg-s000660"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Embryonic Stem Cells","abbreviation":"LINCS 2: Embryonic Stem Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.300fqe","doi":"10.25504/FAIRsharing.300fqe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Metadata for this standard includes organism name, genetic modifications and precursor cell name.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11902}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Cell line","Human embryonic stem cell line cell","Stem cell","Cellular assay","Cellular component"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5767,"fairsharing_record_id":506,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.391Z","updated_at":"2021-09-30T09:27:38.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11541,"fairsharing_record_id":506,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:11.767Z","updated_at":"2024-03-21T13:58:11.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"486","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:35.000Z","updated_at":"2024-03-21T13:58:11.548Z","metadata":{"doi":"10.25504/FAIRsharing.265acy","name":"LINCS Pilot Phase 1 Metadata Standards: Primary Cells","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":486,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","abbreviation":"LINCS 1: Primary Cells","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_PrimaryCell_Metadata_Release_Apr-11-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Primary Cells standard (https://biosharing.org/bsg-s000652) and as such has been superseded by this standard."},"legacy_ids":["bsg-000663","bsg-s000663"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Primary Cells","abbreviation":"LINCS 1: Primary Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.265acy","doi":"10.25504/FAIRsharing.265acy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11901}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5744,"fairsharing_record_id":486,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:37.517Z","updated_at":"2021-09-30T09:27:37.517Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11540,"fairsharing_record_id":486,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:11.325Z","updated_at":"2024-03-21T13:58:11.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"488","type":"fairsharing_records","attributes":{"created_at":"2016-05-26T14:17:50.000Z","updated_at":"2023-05-05T07:50:49.760Z","metadata":{"doi":"10.25504/FAIRsharing.fkrc9","name":"XDF - A Language for the Definition and Exchange of Biological Data Sets","status":"deprecated","contacts":[],"homepage":"https://github.com/tdwg/prior-standards/tree/master/xdf","citations":[],"identifier":488,"description":"XDF is a high-level language for describing biological data, with its own syntax and command vocabulary, analogous to the high-level programming languages used to describe software algorithms. Provision is made within XDF for predefined standard definitions of the common core elements of biological data sets such as the taxonomic hierarchy, biological nomenclature, descriptive material and bibliography.","abbreviation":"XDF","year_creation":1991,"deprecation_date":"2016-05-26","deprecation_reason":"This standard is listed as 'prior' on the TDWG website (http://www.tdwg.org/standards/)"},"legacy_ids":["bsg-000669","bsg-s000669"],"name":"FAIRsharing record for: XDF - A Language for the Definition and Exchange of Biological Data Sets","abbreviation":"XDF","url":"https://fairsharing.org/10.25504/FAIRsharing.fkrc9","doi":"10.25504/FAIRsharing.fkrc9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XDF is a high-level language for describing biological data, with its own syntax and command vocabulary, analogous to the high-level programming languages used to describe software algorithms. Provision is made within XDF for predefined standard definitions of the common core elements of biological data sets such as the taxonomic hierarchy, biological nomenclature, descriptive material and bibliography.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12281}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity"],"domains":["Taxonomic classification"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1179,"pubmed_id":null,"title":"Language for the definition and exchange of biological data sets","year":1992,"url":"https://doi.org/10.1016/0895-7177(92)90163-F","authors":"R.J. White, R. Allkin","journal":"Mathematical and Computer Modelling","doi":null,"created_at":"2021-09-30T08:24:31.076Z","updated_at":"2021-09-30T11:28:31.935Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"489","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-12-23T08:34:05.543Z","metadata":{"doi":"10.25504/FAIRsharing.4ded1f","name":"Time Event Ontology","status":"ready","contacts":[{"contact_name":"Cui Tao","contact_email":"tao.cui@mayo.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/TEO","citations":[],"identifier":489,"description":"The Time Event Ontology (TEO) is an ontology for representing events, time, and their relationships.","abbreviation":"TEO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TEO","name":"TEO","portal":"BioPortal"}]},"legacy_ids":["bsg-000728","bsg-s000728"],"name":"FAIRsharing record for: Time Event Ontology","abbreviation":"TEO","url":"https://fairsharing.org/10.25504/FAIRsharing.4ded1f","doi":"10.25504/FAIRsharing.4ded1f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Time Event Ontology (TEO) is an ontology for representing events, time, and their relationships.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Physics"],"domains":["Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":["Events"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"490","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T14:49:31.813Z","metadata":{"doi":"10.25504/FAIRsharing.tej5wx","name":"New Hampshire eXtended Format","status":"ready","contacts":[{"contact_name":"Christian M. Zmasek","contact_email":"czmasek@burnham.org"}],"homepage":"http://www.phylosoft.org/NHX/nhx.pdf","citations":[],"identifier":490,"description":"NHX is based on the New Hampshire (NH) standard (also called \"Newick tree format\").","abbreviation":null,"support_links":[{"url":"https://sites.google.com/site/cmzmasek/christian-zmasek?authuser=0","name":"Christian Zmasek webpage","type":"Other"},{"url":"https://en.wikipedia.org/wiki/Newick_format#New_Hampshire_X_format","name":"Wikipedia","type":"Help documentation"}],"year_creation":1999},"legacy_ids":["bsg-000252","bsg-s000252"],"name":"FAIRsharing record for: New Hampshire eXtended Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tej5wx","doi":"10.25504/FAIRsharing.tej5wx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NHX is based on the New Hampshire (NH) standard (also called \"Newick tree format\").","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12431}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Comparative Genomics"],"domains":["Deoxyribonucleic acid","Dendrogram","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":10459,"fairsharing_record_id":490,"organisation_id":1597,"relation":"undefined","created_at":"2023-03-24T14:49:05.000Z","updated_at":"2023-03-24T14:49:05.000Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"491","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T12:29:37.000Z","updated_at":"2021-11-24T13:17:19.726Z","metadata":{"doi":"10.25504/FAIRsharing.q0hgq","name":"Monument Inventory DAta Standard Heritage","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"customers@HistoricEngland.org.uk"}],"homepage":"https://historicengland.org.uk/images-books/publications/midas-heritage/","identifier":491,"description":"The UK Historic Environment Data Standard is a British cultural heritage standard for recording information on buildings, archaeological sites, shipwrecks, parks and gardens, battlefields, areas of interest and artefacts. This data standard suggests the minimum level of information needed for recording heritage assets and covers the procedures involved in understanding, protecting and managing these assets. It also provides guidelines on how to support effective sharing of knowledge, data retrieval and long-term preservation of data.","abbreviation":"MIDAS Heritage","year_creation":2012},"legacy_ids":["bsg-000702","bsg-s000702"],"name":"FAIRsharing record for: Monument Inventory DAta Standard Heritage","abbreviation":"MIDAS Heritage","url":"https://fairsharing.org/10.25504/FAIRsharing.q0hgq","doi":"10.25504/FAIRsharing.q0hgq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Historic Environment Data Standard is a British cultural heritage standard for recording information on buildings, archaeological sites, shipwrecks, parks and gardens, battlefields, areas of interest and artefacts. This data standard suggests the minimum level of information needed for recording heritage assets and covers the procedures involved in understanding, protecting and managing these assets. It also provides guidelines on how to support effective sharing of knowledge, data retrieval and long-term preservation of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Humanities","Ancient Cultures","History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5745,"fairsharing_record_id":491,"organisation_id":1251,"relation":"maintains","created_at":"2021-09-30T09:27:37.541Z","updated_at":"2021-09-30T09:27:37.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":1251,"name":"Historic England, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"492","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2023-03-24T15:38:55.447Z","metadata":{"doi":"10.25504/FAIRsharing.4ga4vc","name":"Molgula occulta Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself.communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":492,"description":"The first ontology describing the anatomy and the development of Molgula occulta.","abbreviation":"MOOCCUADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOOCCUADO","name":"MOOCCUADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000731","bsg-s000731"],"name":"FAIRsharing record for: Molgula occulta Anatomy and Development Ontology","abbreviation":"MOOCCUADO","url":"https://fairsharing.org/10.25504/FAIRsharing.4ga4vc","doi":"10.25504/FAIRsharing.4ga4vc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Molgula occulta.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Molgula occulta"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10460,"fairsharing_record_id":492,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T15:38:25.083Z","updated_at":"2023-03-24T15:38:25.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"498","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:14:57.000Z","updated_at":"2024-03-21T13:58:58.288Z","metadata":{"doi":"10.25504/FAIRsharing.t4nd3r","name":"LINCS Extended Metadata Standard: Cell lines","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Cell_Line_Metadata_2017.pdf","citations":[],"identifier":498,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe cell lines, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases (especially with cell lines), the cells are also associated with a disease.","abbreviation":"LINCS 2: Cell lines","support_links":[{"url":"https://lincsproject.org/LINCS/files/Cell_Line_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000651","bsg-s000651"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Cell lines","abbreviation":"LINCS 2: Cell lines","url":"https://fairsharing.org/10.25504/FAIRsharing.t4nd3r","doi":"10.25504/FAIRsharing.t4nd3r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe cell lines, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases (especially with cell lines), the cells are also associated with a disease.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11908},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12499}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Functional Genomics","Life Science"],"domains":["Expression data","Reaction data","Cell line","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5754,"fairsharing_record_id":498,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:37.839Z","updated_at":"2021-09-30T09:27:37.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11563,"fairsharing_record_id":498,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.843Z","updated_at":"2024-03-21T13:58:57.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"499","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:12.000Z","updated_at":"2024-03-21T13:58:58.940Z","metadata":{"doi":"10.25504/FAIRsharing.rh0c0t","name":"LINCS Extended Metadata Standard: Differentiated Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Differentiated_Cell_Metadata_2017.pdf","citations":[],"identifier":499,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","abbreviation":"LINCS 2: Differentiated Cells","support_links":[{"url":"https://lincsproject.org/LINCS/files/Differentiated_Cell_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000654","bsg-s000654"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Differentiated Cells","abbreviation":"LINCS 2: Differentiated Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.rh0c0t","doi":"10.25504/FAIRsharing.rh0c0t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11897},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12491}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Reaction data","Stem cell","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5756,"fairsharing_record_id":499,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:37.948Z","updated_at":"2021-09-30T09:27:37.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11564,"fairsharing_record_id":499,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:58.594Z","updated_at":"2024-03-21T13:58:58.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"500","type":"fairsharing_records","attributes":{"created_at":"2016-05-03T22:31:06.000Z","updated_at":"2023-05-05T07:46:04.584Z","metadata":{"doi":"10.25504/FAIRsharing.bbb81t","name":"Minimum Information about a Stem Cell Experiment","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"RScheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"https://github.com/MISCE","citations":[],"identifier":500,"description":"MISCE recommends the standard information required to report a stem cell experiment, covering: study and experiment design, organism characterization, specimen isolation, cell isolation, cellular reprogramming, gene editing, cellular differentiation, genomic and pluripotency stability assays, and data analysis methods, if applicable.","abbreviation":"MISCE","year_creation":2016,"deprecation_date":"2023-05-03","deprecation_reason":"The MISCE homepage is no longer accessible, as there are no public repositories on https://github.com/MISCE. As we cannot find an alternative homepage, this resource has been marked as deprecated. Please get in touch if you have any information."},"legacy_ids":["bsg-000659","bsg-s000659"],"name":"FAIRsharing record for: Minimum Information about a Stem Cell Experiment","abbreviation":"MISCE","url":"https://fairsharing.org/10.25504/FAIRsharing.bbb81t","doi":"10.25504/FAIRsharing.bbb81t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MISCE recommends the standard information required to report a stem cell experiment, covering: study and experiment design, organism characterization, specimen isolation, cell isolation, cellular reprogramming, gene editing, cellular differentiation, genomic and pluripotency stability assays, and data analysis methods, if applicable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Bioinformatics"],"domains":["Data retrieval","Stem cell","Genome"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5757,"fairsharing_record_id":500,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:27:37.989Z","updated_at":"2021-09-30T09:27:37.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"475","type":"fairsharing_records","attributes":{"created_at":"2018-05-24T11:48:18.000Z","updated_at":"2024-05-02T14:36:40.916Z","metadata":{"doi":"10.25504/FAIRsharing.5bbab9","name":"JavaScript Object Notation","status":"ready","contacts":[{"contact_email":"json@ietf.org"}],"homepage":"http://dx.doi.org/10.17487/RFC8259","citations":[],"identifier":475,"description":"JavaScript Object Notation (JSON) is a lightweight, text-based, language-independent data interchange format. It was derived from the ECMAScript Programming Language Standard. JSON defines a small set of formatting rules for the portable representation of structured data. This RFC specification aims to remove inconsistencies with other specifications of JSON, repair specification errors, and offer experience-based interoperability guidance.","abbreviation":"JSON","support_links":[{"url":"helpdesk@ecma-international.org","name":"ECMA Specification Helpdesk","type":"Support email"},{"url":"https://www.json.org/json-en.html","name":"ECMA Specification Documentation","type":"Help documentation"},{"url":"https://www.rfc-editor.org/errata/rfc8259","name":"View RFC Errata","type":"Help documentation"},{"url":"https://fr.wikipedia.org/wiki/JavaScript_Object_Notation","name":"Wikipedia","type":"Wikipedia"}],"year_creation":2001,"cross_references":[{"url":"http://edamontology.org/format_3464","name":"EDAM","portal":"BioPortal"}]},"legacy_ids":["bsg-001212","bsg-s001212"],"name":"FAIRsharing record for: JavaScript Object Notation","abbreviation":"JSON","url":"https://fairsharing.org/10.25504/FAIRsharing.5bbab9","doi":"10.25504/FAIRsharing.5bbab9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JavaScript Object Notation (JSON) is a lightweight, text-based, language-independent data interchange format. It was derived from the ECMAScript Programming Language Standard. JSON defines a small set of formatting rules for the portable representation of structured data. This RFC specification aims to remove inconsistencies with other specifications of JSON, repair specification errors, and offer experience-based interoperability guidance.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18235},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13246},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14568},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14726}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":9451,"fairsharing_record_id":475,"organisation_id":3483,"relation":"associated_with","created_at":"2022-04-19T15:07:59.653Z","updated_at":"2022-04-19T15:07:59.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":3483,"name":"Netherlands X-Omics Initiative (partially funded by NWO, project no. 184.034.019)","types":["Research institute"],"is_lead":false,"relation":"associated_with"}},{"id":9450,"fairsharing_record_id":475,"organisation_id":2812,"relation":"funds","created_at":"2022-04-19T15:07:59.394Z","updated_at":"2022-04-19T15:07:59.394Z","grant_id":1858,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","grant":"846003201","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"476","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-17T08:33:11.594Z","metadata":{"doi":"10.25504/FAIRsharing.s63y3p","name":"SMART Protocols","status":"ready","contacts":[{"contact_name":"Olga Giraldo","contact_email":"oxgiraldo@gmail.com"}],"homepage":"https://smartprotocols.github.io/","citations":[],"identifier":476,"description":"The SeMAntic RepresenTation for Protocols, SMART Protocols, provides a structured OWL vocabulary of experimental protocols. SMART Protocols ontology includes two modules, SP-document and SP-workflow. SP-document, aims to provide a structured vocabulary of concepts to represent information necessary and sufficient for reporting an experimental protocol. SP-Workflow represents: i) the executable elements of a protocol, protocol instructions; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions.","abbreviation":"SP","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SP","name":"SP","portal":"BioPortal"}]},"legacy_ids":["bsg-001050","bsg-s001050"],"name":"FAIRsharing record for: SMART Protocols","abbreviation":"SP","url":"https://fairsharing.org/10.25504/FAIRsharing.s63y3p","doi":"10.25504/FAIRsharing.s63y3p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SeMAntic RepresenTation for Protocols, SMART Protocols, provides a structured OWL vocabulary of experimental protocols. SMART Protocols ontology includes two modules, SP-document and SP-workflow. SP-document, aims to provide a structured vocabulary of concepts to represent information necessary and sufficient for reporting an experimental protocol. SP-Workflow represents: i) the executable elements of a protocol, protocol instructions; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12121}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Biology"],"domains":["Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3801,"pubmed_id":null,"title":"Using semantics for representing experimental protocols","year":2017,"url":"http://dx.doi.org/10.1186/s13326-017-0160-y","authors":"Giraldo, Olga; García, Alexander; López, Federico; Corcho, Oscar; ","journal":"J Biomed Semant","doi":"10.1186/s13326-017-0160-y","created_at":"2023-03-17T08:30:21.319Z","updated_at":"2023-03-17T08:30:21.319Z"}],"licence_links":[],"grants":[{"id":10423,"fairsharing_record_id":476,"organisation_id":2968,"relation":"undefined","created_at":"2023-03-17T08:32:36.457Z","updated_at":"2023-03-17T08:32:36.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":2968,"name":"Universidad Politecnica de Madrid","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"477","type":"fairsharing_records","attributes":{"created_at":"2016-02-09T03:11:12.000Z","updated_at":"2023-09-09T07:48:42.101Z","metadata":{"doi":"10.25504/FAIRsharing.30vmv9","name":"BioSignalML Ontology","status":"ready","contacts":[{"contact_name":"David Brooks","contact_email":"d.brooks@auckland.ac.nz","contact_orcid":"0000-0002-6758-2186"}],"homepage":"https://www.biosignalml.org/ontologies/2011/04/biosignalml.html","citations":[],"identifier":477,"description":"An ontology for working with biosignals. This ontology defines concepts to describe the storage and exchange of biosignals, regardless of their underlying data format, and provides terms for common biosignal metadata.","abbreviation":null,"year_creation":2011,"associated_tools":[{"url":"https://github.com/BioSignalML/biosignalml-python","name":"Python library"},{"url":"https://github.com/BioSignalML/libbiosignalml","name":"C++ library"},{"url":"https://github.com/BioSignalML/biosignalml-browser","name":"PyQt based browser"}]},"legacy_ids":["bsg-000640","bsg-s000640"],"name":"FAIRsharing record for: BioSignalML Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.30vmv9","doi":"10.25504/FAIRsharing.30vmv9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for working with biosignals. This ontology defines concepts to describe the storage and exchange of biosignals, regardless of their underlying data format, and provides terms for common biosignal metadata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Electrophysiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["New Zealand"],"publications":[{"id":927,"pubmed_id":22255626,"title":"BioSignalML--a meta-model for biosignals.","year":2012,"url":"http://doi.org/10.1109/IEMBS.2011.6091372","authors":"Brooks DJ,Hunter PJ,Smaill BH,Titchener MR","journal":"Conf Proc IEEE Eng Med Biol Soc","doi":"10.1109/IEMBS.2011.6091372","created_at":"2021-09-30T08:24:02.555Z","updated_at":"2021-09-30T08:24:02.555Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1187,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":103,"relation":"undefined"}],"grants":[{"id":5731,"fairsharing_record_id":477,"organisation_id":134,"relation":"maintains","created_at":"2021-09-30T09:27:37.191Z","updated_at":"2021-09-30T09:27:37.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":134,"name":"Auckland Bioengineering Institute, New Zealand","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdDRDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--32639c60324da5b96c71282e1dd4d9d86eb932a5/BSMLLogo3.png?disposition=inline","exhaustive_licences":false}},{"id":"478","type":"fairsharing_records","attributes":{"created_at":"2017-01-16T14:40:51.000Z","updated_at":"2022-07-20T12:48:42.768Z","metadata":{"doi":"10.25504/FAIRsharing.haxp7g","name":"Feature Annotation Location Description Ontology","status":"ready","contacts":[{"contact_name":"Jerven Bolleman","contact_email":"jerven.bolleman@sib.swiss"}],"homepage":"http://biohackathon.org/resource/faldo","citations":[{"doi":"10.1186/s13326-016-0067-z","pubmed_id":27296299,"publication_id":1998}],"identifier":478,"description":"The Feature Annotation Location Description Ontology (FALDO), to describe the positions of annotated features on linear and circular sequences for data resources represented in RDF and/or OWL. FALDO can be used to describe nucleotide features in sequence records, protein annotations, and glycan binding sites, among other features in coordinate systems of the aforementioned “omics” areas. Using the same data format to represent sequence positions that are independent of file formats allows us to integrate sequence data from multiple sources and data types.","abbreviation":"FALDO","support_links":[{"url":"https://groups.google.com/forum/#!forum/faldo","name":"FALDO Google Group","type":"Forum"},{"url":"https://github.com/OBF/FALDO","name":"GitHub Issues at OBF Faldo","type":"Github"},{"url":"https://github.com/OBF/FALDO","name":"GitHub Project","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FALDO","name":"FALDO","portal":"BioPortal"}]},"legacy_ids":["bsg-000692","bsg-s000692"],"name":"FAIRsharing record for: Feature Annotation Location Description Ontology","abbreviation":"FALDO","url":"https://fairsharing.org/10.25504/FAIRsharing.haxp7g","doi":"10.25504/FAIRsharing.haxp7g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Feature Annotation Location Description Ontology (FALDO), to describe the positions of annotated features on linear and circular sequences for data resources represented in RDF and/or OWL. FALDO can be used to describe nucleotide features in sequence records, protein annotations, and glycan binding sites, among other features in coordinate systems of the aforementioned “omics” areas. Using the same data format to represent sequence positions that are independent of file formats allows us to integrate sequence data from multiple sources and data types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics"],"domains":["Nucleic acid sequence","Sequence annotation","Gene feature","Sequence feature","Binding site"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy","Japan","Netherlands","Switzerland","United Kingdom","United States"],"publications":[{"id":1998,"pubmed_id":27296299,"title":"FALDO: a semantic standard for describing the location of nucleotide and protein feature annotation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0067-z","authors":"Bolleman JT,Mungall CJ,Strozzi F,Baran J,Dumontier M,Bonnal RJ,Buels R,Hoehndorf R,Fujisawa T,Katayama T,Cock PJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0067-z","created_at":"2021-09-30T08:26:04.914Z","updated_at":"2021-09-30T08:26:04.914Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1,"relation":"undefined"}],"grants":[{"id":5732,"fairsharing_record_id":478,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:27:37.217Z","updated_at":"2021-09-30T09:27:37.217Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"493","type":"fairsharing_records","attributes":{"created_at":"2016-04-15T18:28:01.000Z","updated_at":"2022-07-20T09:04:35.617Z","metadata":{"doi":"10.25504/FAIRsharing.2gpf81","name":"eNanoMapper Ontology","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@maastrichtuniversity.nl","contact_orcid":"0000-0001-7542-0286"}],"homepage":"https://github.com/enanomapper/ontologies","citations":[],"identifier":493,"description":"The eNanoMapper ontology covers the full scope of terminology needed to support research into nanomaterial safety. It builds on multiple pre-existing external ontologies such as the NanoParticle Ontology.","abbreviation":"ENM","support_links":[{"url":"https://www.ebi.ac.uk/ols/beta/ontologies/enm","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/adding-ontology-terms","name":"Adding ontology terms","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/browsing-the-enanomapper-ontology-with-bioportal-aberowl-and-protege","name":"Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protg","type":"TeSS links to training materials"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ENM","name":"ENM","portal":"BioPortal"}]},"legacy_ids":["bsg-000647","bsg-s000647"],"name":"FAIRsharing record for: eNanoMapper Ontology","abbreviation":"ENM","url":"https://fairsharing.org/10.25504/FAIRsharing.2gpf81","doi":"10.25504/FAIRsharing.2gpf81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eNanoMapper ontology covers the full scope of terminology needed to support research into nanomaterial safety. It builds on multiple pre-existing external ontologies such as the NanoParticle Ontology.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10856},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11732}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Chemical entity","Nanoparticle"],"taxonomies":["Not applicable"],"user_defined_tags":["Nanosafety"],"countries":["European Union"],"publications":[{"id":1088,"pubmed_id":25815161,"title":"eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment.","year":2015,"url":"http://doi.org/10.1186/s13326-015-0005-5","authors":"Hastings J,Jeliazkova N,Owen G,Tsiliki G,Munteanu CR,Steinbeck C,Willighagen E","journal":"J Biomed Semantics","doi":"10.1186/s13326-015-0005-5","created_at":"2021-09-30T08:24:20.515Z","updated_at":"2021-09-30T08:24:20.515Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":822,"relation":"undefined"}],"grants":[{"id":5746,"fairsharing_record_id":493,"organisation_id":858,"relation":"maintains","created_at":"2021-09-30T09:27:37.567Z","updated_at":"2021-09-30T09:27:37.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":858,"name":"eNanoMapper","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9568,"fairsharing_record_id":493,"organisation_id":1929,"relation":"maintains","created_at":"2022-06-07T09:05:32.205Z","updated_at":"2022-06-07T09:05:32.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":1929,"name":"Nanocommons","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9570,"fairsharing_record_id":493,"organisation_id":920,"relation":"funds","created_at":"2022-06-07T09:16:11.967Z","updated_at":"2022-06-07T09:16:11.967Z","grant_id":85,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"604134","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9569,"fairsharing_record_id":493,"organisation_id":3546,"relation":"maintains","created_at":"2022-06-07T09:05:32.205Z","updated_at":"2022-06-07T09:05:32.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":3546,"name":"NanoSolveIT","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9571,"fairsharing_record_id":493,"organisation_id":912,"relation":"funds","created_at":"2022-06-07T09:16:12.003Z","updated_at":"2022-06-07T09:16:12.003Z","grant_id":197,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"731032","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9572,"fairsharing_record_id":493,"organisation_id":912,"relation":"funds","created_at":"2022-06-07T09:16:35.006Z","updated_at":"2022-06-07T09:16:35.006Z","grant_id":1873,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"731075","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9573,"fairsharing_record_id":493,"organisation_id":912,"relation":"funds","created_at":"2022-06-07T09:17:34.420Z","updated_at":"2022-06-07T09:17:34.420Z","grant_id":1874,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"814572","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"494","type":"fairsharing_records","attributes":{"created_at":"2018-03-13T19:37:11.000Z","updated_at":"2022-07-20T10:20:22.313Z","metadata":{"doi":"10.25504/FAIRsharing.9e9683","name":"Brachiaria Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_345:ROOT","citations":[],"identifier":494,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brachiaria Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_345","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help Page","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001140","bsg-s001140"],"name":"FAIRsharing record for: Brachiaria Ontology","abbreviation":"CO_345","url":"https://fairsharing.org/10.25504/FAIRsharing.9e9683","doi":"10.25504/FAIRsharing.9e9683","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brachiaria Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Brachiaria"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1119,"relation":"undefined"}],"grants":[{"id":5747,"fairsharing_record_id":494,"organisation_id":1476,"relation":"maintains","created_at":"2021-09-30T09:27:37.597Z","updated_at":"2021-09-30T09:27:37.597Z","grant_id":null,"is_lead":false,"saved_state":{"id":1476,"name":"International Center for Tropical Agriculture (CIAT), Colombia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"495","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:48:14.704Z","metadata":{"doi":"10.25504/FAIRsharing.4e3qh9","name":"Pearl Millet Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_327:ROOT","citations":[],"identifier":495,"description":"The goal of the CGIAR Pearl Millet Ontology is to help improve food security for subsistence smallholder farmers in East and West Africa with productive and nutritious pearl millet food and fodder production technologies.","abbreviation":"CO_327","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2017},"legacy_ids":["bsg-001105","bsg-s001105"],"name":"FAIRsharing record for: Pearl Millet Ontology","abbreviation":"CO_327","url":"https://fairsharing.org/10.25504/FAIRsharing.4e3qh9","doi":"10.25504/FAIRsharing.4e3qh9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the CGIAR Pearl Millet Ontology is to help improve food security for subsistence smallholder farmers in East and West Africa with productive and nutritious pearl millet food and fodder production technologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Phenotype"],"taxonomies":["Pennisetum glaucum"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1811,"relation":"undefined"}],"grants":[{"id":5749,"fairsharing_record_id":495,"organisation_id":1337,"relation":"maintains","created_at":"2021-09-30T09:27:37.678Z","updated_at":"2021-09-30T09:27:37.678Z","grant_id":null,"is_lead":false,"saved_state":{"id":1337,"name":"INERA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5750,"fairsharing_record_id":495,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:27:37.714Z","updated_at":"2021-09-30T09:27:37.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9301,"fairsharing_record_id":495,"organisation_id":485,"relation":"maintains","created_at":"2022-04-11T12:07:28.892Z","updated_at":"2022-04-11T12:07:28.892Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"496","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:20.000Z","updated_at":"2022-07-20T11:37:52.840Z","metadata":{"doi":"10.25504/FAIRsharing.4g5qcw","name":"Sweet Potato Ontology","status":"ready","contacts":[{"contact_name":"Vilma Hualla Mamani","contact_email":"V.Hualla@cgiar.org","contact_orcid":"0000-0003-0595-5271"}],"homepage":"https://cropontology.org/term/CO_331:ROOT","citations":[],"identifier":496,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sweet Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_331","support_links":[{"url":"r.simon@cgiar.org","name":"Reinhard Simon","type":"Support email"},{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000727","bsg-s000727"],"name":"FAIRsharing record for: Sweet Potato Ontology","abbreviation":"CO_331","url":"https://fairsharing.org/10.25504/FAIRsharing.4g5qcw","doi":"10.25504/FAIRsharing.4g5qcw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sweet Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food"],"taxonomies":["Ipomoea batatas"],"user_defined_tags":[],"countries":["Peru"],"publications":[{"id":2431,"pubmed_id":null,"title":"The Sweetpotato Ontology","year":2015,"url":"http://dcpapers.dublincore.org/pubs/article/viewFile/3782/1972","authors":"Vilma Rocio Hualla, Reinhard Simon, Robert Mwanga, Henry Saul Juarez Soto, Genoveva Rossel Montesinos","journal":"Proc. Int’l Conf. on Dublin Core and Metadata Applications 2015","doi":null,"created_at":"2021-09-30T08:26:58.269Z","updated_at":"2021-09-30T08:26:58.269Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1350,"relation":"undefined"}],"grants":[{"id":5751,"fairsharing_record_id":496,"organisation_id":1510,"relation":"maintains","created_at":"2021-09-30T09:27:37.743Z","updated_at":"2021-09-30T09:27:37.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":1510,"name":"International Potato Center (CIP), Peru","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"497","type":"fairsharing_records","attributes":{"created_at":"2020-12-16T11:20:42.000Z","updated_at":"2023-01-17T13:33:27.269Z","metadata":{"doi":"10.25504/FAIRsharing.3a96ae","name":"Chinese Agricultural Thesaurus","status":"deprecated","contacts":[{"contact_name":"Chinese Academy of Agricultural Sciences (CAAS)","contact_email":"diccaas@caas.net.cn"}],"homepage":"http://cat.aii.caas.cn/","citations":[],"identifier":497,"description":"The Chinese Agricultural Thesaurus (CAT) is an agricultural domain thesaurus. A number of international and national standards were adopted during its design and construction. CAT covers areas including agriculture, forestry, and biology. It is organized in 40 main categories, with most of the concepts having an English translation. The website is now longer resolving, and we cannot find a new homepage. Please get in touch with us if you have any information. ","abbreviation":"CAT","deprecation_date":"2023-01-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-001567","bsg-s001567"],"name":"FAIRsharing record for: Chinese Agricultural Thesaurus","abbreviation":"CAT","url":"https://fairsharing.org/10.25504/FAIRsharing.3a96ae","doi":"10.25504/FAIRsharing.3a96ae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chinese Agricultural Thesaurus (CAT) is an agricultural domain thesaurus. A number of international and national standards were adopted during its design and construction. CAT covers areas including agriculture, forestry, and biology. It is organized in 40 main categories, with most of the concepts having an English translation. The website is now longer resolving, and we cannot find a new homepage. Please get in touch with us if you have any information. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Forest Management","Agriculture","Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":5752,"fairsharing_record_id":497,"organisation_id":41,"relation":"maintains","created_at":"2021-09-30T09:27:37.767Z","updated_at":"2021-09-30T09:27:37.767Z","grant_id":null,"is_lead":true,"saved_state":{"id":41,"name":"Agricultural Information Institute of CAAS, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"474","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:20.018Z","metadata":{"doi":"10.25504/FAIRsharing.1h49c6","name":"Sleep Domain Units Ontology","status":"ready","contacts":[{"contact_name":"Sivaram Arabandi","contact_email":"sivaram.arabandi@gmail.com","contact_orcid":"0000-0002-2973-6228"}],"homepage":"http://bioportal.bioontology.org/ontologies/UNITSONT","identifier":474,"description":"An ontology for the units of measurement developed during the development of the Sleep Domain Ontology (SDO). It supports the use of SDO within the PhysioMIMI application. No official homepage for this resource can be found.","abbreviation":"UNITSONT","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UNITSONT","name":"UNITSONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002740","bsg-s002740"],"name":"FAIRsharing record for: Sleep Domain Units Ontology","abbreviation":"UNITSONT","url":"https://fairsharing.org/10.25504/FAIRsharing.1h49c6","doi":"10.25504/FAIRsharing.1h49c6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for the units of measurement developed during the development of the Sleep Domain Ontology (SDO). It supports the use of SDO within the PhysioMIMI application. No official homepage for this resource can be found.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Sleep","Unit","Measurement"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"621","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-05-20T06:45:39.700Z","metadata":{"doi":"10.25504/FAIRsharing.wjqnt4","name":"Multi-Omics Metadata Checklist","status":"deprecated","contacts":[{"contact_name":"Eugene Kolker","contact_email":"eugene.kolker@seattlechildrens.org"}],"homepage":"http://kolkerlab.org/publications/multi-omics-metadata-checklist","citations":[],"identifier":621,"description":"We have created a Multi-Omics Metadata checklist to ensure consistent data quality and comprehensive meta-data. We used previously developed data submission policies for PRIDE and GEO as starting points for gathering information on the experimental design, experimental protocols, instrumentation, data processing and analysis methods. Through DELSA community outreach and the Advisory Committee, we will continue to refine and finalize the Multi-Omics Metadata checklist using a combination of reputable ontologies available through Open Biological and Biomedical Ontologies, best community practices, and developments from the NSF-funded Research Data Alliance and GSC.","abbreviation":"MOMDC","support_links":[{"url":"kolker.lab@seattlechildrens.org","type":"Support email"}],"deprecation_date":"2022-05-18","deprecation_reason":"Although the publication describing the checklist is available, the homepage for the resource no longer exists, and the maintainer of the resource has not provided an alternative. If you have information regarding this resource, please get in touch."},"legacy_ids":["bsg-000533","bsg-s000533"],"name":"FAIRsharing record for: Multi-Omics Metadata Checklist","abbreviation":"MOMDC","url":"https://fairsharing.org/10.25504/FAIRsharing.wjqnt4","doi":"10.25504/FAIRsharing.wjqnt4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: We have created a Multi-Omics Metadata checklist to ensure consistent data quality and comprehensive meta-data. We used previously developed data submission policies for PRIDE and GEO as starting points for gathering information on the experimental design, experimental protocols, instrumentation, data processing and analysis methods. Through DELSA community outreach and the Advisory Committee, we will continue to refine and finalize the Multi-Omics Metadata checklist using a combination of reputable ontologies available through Open Biological and Biomedical Ontologies, best community practices, and developments from the NSF-funded Research Data Alliance and GSC.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12110}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":1838,"pubmed_id":24494788,"title":"OMICS studies: How about metadata checklist and data publications?","year":2014,"url":"http://doi.org/10.1021/pr4011662","authors":"Kolker E,Stewart E","journal":"J Proteome Res","doi":"10.1021/pr4011662","created_at":"2021-09-30T08:25:46.439Z","updated_at":"2021-09-30T08:25:46.439Z"},{"id":1861,"pubmed_id":27447252,"title":"Metadata Checklist for the Integrated Personal Omics Study: Proteomics and Metabolomics Experiments.","year":2013,"url":"http://doi.org/10.1089/big.2013.0040","authors":"Snyder M,Mias G,Stanberry L,Kolker E","journal":"Big Data","doi":"10.1089/big.2013.0040","created_at":"2021-09-30T08:25:49.073Z","updated_at":"2021-09-30T08:25:49.073Z"},{"id":1862,"pubmed_id":24910945,"title":"MOPED 2.5--an integrated multi-omics resource: multi-omics profiling expression database now includes transcriptomics data.","year":2014,"url":"http://doi.org/10.1089/omi.2014.0061","authors":"Montague E,Stanberry L,Higdon R,Janko I,Lee E,Anderson N,Choiniere J,Stewart E,Yandl G,Broomall W,Kolker N,Kolker E","journal":"OMICS","doi":"10.1089/omi.2014.0061","created_at":"2021-09-30T08:25:49.189Z","updated_at":"2021-09-30T08:25:49.189Z"},{"id":3367,"pubmed_id":null,"title":"Toward More Transparent and Reproducible Omics Studies Through a Common Metadata Checklist and Data Publications","year":2014,"url":"http://dx.doi.org/10.1089/omi.2013.0149","authors":"Kolker, Eugene; Özdemir, Vural; Martens, Lennart; Hancock, William; Anderson, Gordon; Anderson, Nathaniel; Aynacioglu, Sukru; Baranova, Ancha; Campagna, Shawn R.; Chen, Rui; Choiniere, John; Dearth, Stephen P.; Feng, Wu-Chun; Ferguson, Lynnette; Fox, Geoffrey; Frishman, Dmitrij; Grossman, Robert; Heath, Allison; Higdon, Roger; Hutz, Mara H.; Janko, Imre; Jiang, Lihua; Joshi, Sanjay; Kel, Alexander; Kemnitz, Joseph W.; Kohane, Isaac S.; Kolker, Natali; Lancet, Doron; Lee, Elaine; Li, Weizhong; Lisitsa, Andrey; Llerena, Adrian; MacNealy-Koch, Courtney; Marshall, Jean-Claude; Masuzzo, Paola; May, Amanda; Mias, George; Monroe, Matthew; Montague, Elizabeth; Mooney, Sean; Nesvizhskii, Alexey; Noronha, Santosh; Omenn, Gilbert; Rajasimha, Harsha; Ramamoorthy, Preveen; Sheehan, Jerry; Smarr, Larry; Smith, Charles V.; Smith, Todd; Snyder, Michael; Rapole, Srikanth; Srivastava, Sanjeeva; Stanberry, Larissa; Stewart, Elizabeth; Toppo, Stefano; Uetz, Peter; Verheggen, Kenneth; Voy, Brynn H.; Warnich, Louise; Wilhelm, Steven W.; Yandl, Gregory; ","journal":"OMICS: A Journal of Integrative Biology","doi":"10.1089/omi.2013.0149","created_at":"2022-05-18T10:53:06.457Z","updated_at":"2022-05-18T10:53:06.457Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"622","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.285Z","metadata":{"doi":"10.25504/FAIRsharing.ps501f","name":"BioPortal Metadata","status":"ready","contacts":[{"contact_name":"Natasha Noy","contact_email":"noy@stanford.edu","contact_orcid":"0000-0002-7437-0624"}],"homepage":"http://www.bioontology.org/wiki/index.php/BioPortal_Metadata","identifier":622,"description":"This ontology represents the structure that BioPortal uses to represent all of its metadata (ontology details, mappings, notes, reviews, views).","abbreviation":null,"support_links":[{"url":"http://bioportal.bioontology.org/feedback","type":"Contact form"},{"url":"http://www.bioontology.org/wiki/index.php/Architecture","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BP-METADATA","name":"BP-METADATA","portal":"BioPortal"}]},"legacy_ids":["bsg-002603","bsg-s002603"],"name":"FAIRsharing record for: BioPortal Metadata","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ps501f","doi":"10.25504/FAIRsharing.ps501f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology represents the structure that BioPortal uses to represent all of its metadata (ontology details, mappings, notes, reviews, views).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5960,"fairsharing_record_id":622,"organisation_id":273,"relation":"maintains","created_at":"2021-09-30T09:27:44.125Z","updated_at":"2021-09-30T09:27:44.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":273,"name":"BioPortal Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"623","type":"fairsharing_records","attributes":{"created_at":"2021-05-04T13:48:53.000Z","updated_at":"2022-12-27T17:19:42.167Z","metadata":{"name":"EnzymeML","status":"in_development","contacts":[{"contact_name":"Dr. Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://enzymeml.org/","citations":[],"identifier":623,"description":"EnzymeML is a free and open standard XML-based interchange format for data on enzyme-catalyzed reactions. The purpose of EnzymeML is to store and exchange enzyme kinetics data between instruments, software tools, and databases. EnzymeML will allow scientists to share their experimental protocols and results even if they are using different instruments, electronic laboratory notebooks, or databases. EnzymeML is compatible with the Systems Biology Markup Language (SBML). It continues to be evolved and expanded by an international community.","abbreviation":"EnzymeML","support_links":[{"url":"https://enzymeml.org/documents/guide/","name":"Software and Databases Guide","type":"Help documentation"},{"url":"https://github.com/EnzymeML","name":"GitHub Repository","type":"Github"},{"url":"https://twitter.com/EnzymeML","name":"@EnzymeML","type":"Twitter"}],"year_creation":2021,"associated_tools":[{"url":"https://github.com/EnzymeML/PyEnzyme/tree/main","name":"PyEnzyme 1.0"}]},"legacy_ids":["bsg-001612","bsg-s001612"],"name":"FAIRsharing record for: EnzymeML","abbreviation":"EnzymeML","url":"https://fairsharing.org/fairsharing_records/623","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EnzymeML is a free and open standard XML-based interchange format for data on enzyme-catalyzed reactions. The purpose of EnzymeML is to store and exchange enzyme kinetics data between instruments, software tools, and databases. EnzymeML will allow scientists to share their experimental protocols and results even if they are using different instruments, electronic laboratory notebooks, or databases. EnzymeML is compatible with the Systems Biology Markup Language (SBML). It continues to be evolved and expanded by an international community.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14559}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Integration","Data Quality","Enzymology","Data Visualization"],"domains":["Reaction data","Experimental measurement","Kinetic model","Data acquisition","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":5962,"fairsharing_record_id":623,"organisation_id":3094,"relation":"maintains","created_at":"2021-09-30T09:27:44.175Z","updated_at":"2021-09-30T09:27:44.175Z","grant_id":null,"is_lead":false,"saved_state":{"id":3094,"name":"University of Michigan Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5961,"fairsharing_record_id":623,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:27:44.150Z","updated_at":"2021-09-30T09:27:44.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5963,"fairsharing_record_id":623,"organisation_id":3128,"relation":"maintains","created_at":"2021-09-30T09:27:44.200Z","updated_at":"2021-09-30T09:27:44.200Z","grant_id":null,"is_lead":true,"saved_state":{"id":3128,"name":"University of Stuttgart","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5964,"fairsharing_record_id":623,"organisation_id":3062,"relation":"maintains","created_at":"2021-09-30T09:27:44.233Z","updated_at":"2021-09-30T09:27:44.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":3062,"name":"University of Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"625","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:40.000Z","updated_at":"2022-11-01T11:54:44.065Z","metadata":{"doi":"10.25504/FAIRsharing.jLpL6i","name":"FAIR Metrics - Use a Knowledge Representation Language","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_I1","citations":[],"identifier":625,"description":"FM-I1 provides a metric for the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. To this end, a URL to the specification of the language must be provided. This metric applies to part I1 of the FAIR Principles.","abbreviation":"FM-I1","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001350","bsg-s001350"],"name":"FAIRsharing record for: FAIR Metrics - Use a Knowledge Representation Language","abbreviation":"FM-I1","url":"https://fairsharing.org/10.25504/FAIRsharing.jLpL6i","doi":"10.25504/FAIRsharing.jLpL6i","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-I1 provides a metric for the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. To this end, a URL to the specification of the language must be provided. This metric applies to part I1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance","Ontology and Terminology"],"domains":["Resource metadata","Data identity and mapping","Digital curation","Knowledge representation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1410,"relation":"undefined"}],"grants":[{"id":5966,"fairsharing_record_id":625,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:44.335Z","updated_at":"2021-09-30T09:27:44.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5965,"fairsharing_record_id":625,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:44.259Z","updated_at":"2021-09-30T09:27:44.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5967,"fairsharing_record_id":625,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:44.368Z","updated_at":"2021-09-30T09:27:44.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5968,"fairsharing_record_id":625,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:44.429Z","updated_at":"2021-09-30T09:27:44.429Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"627","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T13:14:41.000Z","updated_at":"2022-07-20T09:41:59.870Z","metadata":{"doi":"10.25504/FAIRsharing.f21eae","name":"Standard-Thesaurus Wirtschaft Thesaurus for Economics","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"stw@zbw.eu"}],"homepage":"https://zbw.eu/stw/version/latest/about.en.html","citations":[],"identifier":627,"description":"The Standard-Thesaurus Wirtschaft (STW) Thesaurus for Economics contains terms relating to economics as well as technical terms used in law, sociology, politics, and geographic names. The STW Thesaurus for Economics is a bilingual thesaurus (German, English) for representing and searching economics-related content. It is used by universities, research institutes, public institutions and companies for knowledge organization and for research and development in computer and information science as well as in the area of Linked Data and Semantic Web technologies. The STW Thesaurus for Economics is part of the Linked Open Data Cloud and other information environments and web services for processing and linking economic literature, research data, author profiles and educational material.","abbreviation":"STW Thesaurus for Economics","support_links":[{"url":"http://www.zbw.eu/en/stw-info","name":"About STW","type":"Help documentation"}],"year_creation":1998},"legacy_ids":["bsg-001552","bsg-s001552"],"name":"FAIRsharing record for: Standard-Thesaurus Wirtschaft Thesaurus for Economics","abbreviation":"STW Thesaurus for Economics","url":"https://fairsharing.org/10.25504/FAIRsharing.f21eae","doi":"10.25504/FAIRsharing.f21eae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Standard-Thesaurus Wirtschaft (STW) Thesaurus for Economics contains terms relating to economics as well as technical terms used in law, sociology, politics, and geographic names. The STW Thesaurus for Economics is a bilingual thesaurus (German, English) for representing and searching economics-related content. It is used by universities, research institutes, public institutions and companies for knowledge organization and for research and development in computer and information science as well as in the area of Linked Data and Semantic Web technologies. The STW Thesaurus for Economics is part of the Linked Open Data Cloud and other information environments and web services for processing and linking economic literature, research data, author profiles and educational material.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Political Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":2229,"relation":"undefined"}],"grants":[{"id":5969,"fairsharing_record_id":627,"organisation_id":1696,"relation":"maintains","created_at":"2021-09-30T09:27:44.460Z","updated_at":"2021-09-30T09:27:44.460Z","grant_id":null,"is_lead":true,"saved_state":{"id":1696,"name":"Leibniz Information Centre for Economics (ZBW), Kiel, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"628","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-03-23T11:36:29.053Z","metadata":{"doi":"10.25504/FAIRsharing.7m85ax","name":"Taxonomy for Rehabilitation of Knee Conditions","status":"ready","contacts":[{"contact_name":"Irena Spasic","contact_email":"i.spasic@cs.cardiff.ac.uk"}],"homepage":"http://www.cs.cf.ac.uk/trak","citations":[],"identifier":628,"description":"TRAK (Taxonomy for RehAbilitation of Knee conditions) is an ontology that formally models information relevant for the rehabilitation of knee conditions. TRAK provides the framework that can be used to collect coded data in sufficient detail to support epidemiologic studies so that the most effective treatment components can be identified, new interventions developed and the quality of future randomized control trials improved to incorporate a control intervention that is well defined and reflects clinical practice.","abbreviation":"TRAK","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TRAK","name":"TRAK","portal":"BioPortal"}]},"legacy_ids":["bsg-000796","bsg-s000796"],"name":"FAIRsharing record for: Taxonomy for Rehabilitation of Knee Conditions","abbreviation":"TRAK","url":"https://fairsharing.org/10.25504/FAIRsharing.7m85ax","doi":"10.25504/FAIRsharing.7m85ax","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TRAK (Taxonomy for RehAbilitation of Knee conditions) is an ontology that formally models information relevant for the rehabilitation of knee conditions. TRAK provides the framework that can be used to collect coded data in sufficient detail to support epidemiologic studies so that the most effective treatment components can be identified, new interventions developed and the quality of future randomized control trials improved to incorporate a control intervention that is well defined and reflects clinical practice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Biomedical Science","Pain Medicine","Pathology"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Rehabilitation Medicine"],"countries":["United Kingdom"],"publications":[{"id":3819,"pubmed_id":23665300,"title":"TRAK ontology: defining standard care for the rehabilitation of knee conditions.","year":2013,"url":"https://doi.org/10.1016/j.jbi.2013.04.009","authors":"Button K, van Deursen RW, Soldatova L, Spasić I","journal":"Journal of biomedical informatics","doi":"10.1016/j.jbi.2013.04.009","created_at":"2023-03-23T11:22:17.024Z","updated_at":"2023-03-23T11:22:17.024Z"},{"id":3820,"pubmed_id":26347806,"title":"KneeTex: an ontology-driven system for information extraction from MRI reports.","year":2015,"url":"https://doi.org/10.1186/s13326-015-0033-1","authors":"Spasić I, Zhao B, Jones CB, Button K","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-015-0033-1","created_at":"2023-03-23T11:22:36.047Z","updated_at":"2023-03-23T11:22:36.047Z"},{"id":3821,"pubmed_id":26474643,"title":"TRAK App Suite: A Web-Based Intervention for Delivering Standard Care for the Rehabilitation of Knee Conditions.","year":2015,"url":"https://doi.org/10.2196/resprot.4091","authors":"Spasić I, Button K, Divoli A, Gupta S, Pataky T, Pizzocaro D, Preece A, van Deursen R, Wilson C","journal":"JMIR research protocols","doi":"10.2196/resprot.4091","created_at":"2023-03-23T11:22:59.813Z","updated_at":"2023-03-23T11:22:59.813Z"}],"licence_links":[],"grants":[{"id":10446,"fairsharing_record_id":628,"organisation_id":3926,"relation":"associated_with","created_at":"2023-03-23T11:24:45.152Z","updated_at":"2023-03-23T11:24:45.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":3926,"name":"Cardiff University","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"630","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-12-23T08:40:13.686Z","metadata":{"doi":"10.25504/FAIRsharing.38ph3j","name":"OntoPsychia, social module","status":"ready","contacts":[{"contact_name":"Jean Charlet","contact_email":"Jean.Charlet@upmc.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOPSYCHIA","citations":[],"identifier":630,"description":"Ontology of social and environmental determinants for psychiatry","abbreviation":"ONTOPSYCHIA","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOPSYCHIA","name":"ONTOPSYCHIA","portal":"BioPortal"}]},"legacy_ids":["bsg-000801","bsg-s000801"],"name":"FAIRsharing record for: OntoPsychia, social module","abbreviation":"ONTOPSYCHIA","url":"https://fairsharing.org/10.25504/FAIRsharing.38ph3j","doi":"10.25504/FAIRsharing.38ph3j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology of social and environmental determinants for psychiatry","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Psychiatry","Clinical Psychology","Systems Medicine","Medical Informatics"],"domains":["Monitoring","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"669","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:59:37.122Z","metadata":{"doi":"10.25504/FAIRsharing.j75srj","name":"Soybean Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"https://cropontology.org/term/CO_336:ROOT","citations":[],"identifier":669,"description":"The Soybean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_336","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001112","bsg-s001112"],"name":"FAIRsharing record for: Soybean Ontology","abbreviation":"CO_336","url":"https://fairsharing.org/10.25504/FAIRsharing.j75srj","doi":"10.25504/FAIRsharing.j75srj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Soybean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Glycine max"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1749,"relation":"undefined"}],"grants":[{"id":6020,"fairsharing_record_id":669,"organisation_id":485,"relation":"funds","created_at":"2021-09-30T09:27:46.268Z","updated_at":"2021-09-30T09:27:46.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6018,"fairsharing_record_id":669,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:27:46.218Z","updated_at":"2021-09-30T09:27:46.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6019,"fairsharing_record_id":669,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:27:46.244Z","updated_at":"2021-09-30T09:27:46.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"670","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-03-23T14:31:38.874Z","metadata":{"doi":"10.25504/FAIRsharing.b5yzzf","name":"Dependency Layered Ontology for Radiation Oncology","status":"ready","contacts":[{"contact_name":"alan kalet","contact_email":"amkalet@uw.edu"}],"homepage":"https://ont2bn.radonc.washington.edu/IROK/","citations":[],"identifier":670,"description":"Dependency Layered Ontology for Radiation Oncology","abbreviation":"DLORO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DLORO","name":"DLORO","portal":"BioPortal"}]},"legacy_ids":["bsg-001071","bsg-s001071"],"name":"FAIRsharing record for: Dependency Layered Ontology for Radiation Oncology","abbreviation":"DLORO","url":"https://fairsharing.org/10.25504/FAIRsharing.b5yzzf","doi":"10.25504/FAIRsharing.b5yzzf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dependency Layered Ontology for Radiation Oncology","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiation Oncology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3824,"pubmed_id":null,"title":"Developing Bayesian networks from a dependency‐layered ontology: A proof‐of‐concept in radiation oncology","year":2017,"url":"http://dx.doi.org/10.1002/mp.12340","authors":"Kalet, Alan M.; Doctor, Jason N.; Gennari, John H.; Phillips, Mark H.; ","journal":"Med. Phys.","doi":"10.1002/mp.12340","created_at":"2023-03-23T14:25:46.932Z","updated_at":"2023-03-23T14:25:46.932Z"}],"licence_links":[],"grants":[{"id":10448,"fairsharing_record_id":670,"organisation_id":3928,"relation":"maintains","created_at":"2023-03-23T14:30:01.172Z","updated_at":"2023-03-23T14:30:01.172Z","grant_id":null,"is_lead":false,"saved_state":{"id":3928,"name":"Department of Radiation Oncology, University of Washington Medical Center","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"671","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-06T14:56:29.842Z","metadata":{"doi":"10.25504/FAIRsharing.jgzts3","name":"Neuroimaging Informatics Technology Initiative","status":"ready","contacts":[{"contact_name":"Mark Jenkinson","contact_email":"mark@fmrib.ox.ac.uk","contact_orcid":"0000-0001-6043-0166"}],"homepage":"https://nifti.nimh.nih.gov/","citations":[],"identifier":671,"description":"The Neuroimaging Informatics Technology Initiative (NIfTI) is an open file format commonly used to store brain imaging data obtained using Magnetic Resonance Imaging methods.","abbreviation":"NIfTI","support_links":[{"url":"https://nifti.nimh.nih.gov/nifti-1/documentation/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://nifti.nimh.nih.gov/nifti-1/documentation/hbm_nifti_2004.pdf","type":"Help documentation"},{"url":"https://nifti.nimh.nih.gov/nifti-1/documentation/nifti1diagrams_v2.pdf","type":"Help documentation"},{"url":"https://nifti.nimh.nih.gov/background","name":"Background","type":"Help documentation"},{"url":"https://github.com/gllmflndn/gifti","type":"Github"}],"year_creation":2004},"legacy_ids":["bsg-000527","bsg-s000527"],"name":"FAIRsharing record for: Neuroimaging Informatics Technology Initiative","abbreviation":"NIfTI","url":"https://fairsharing.org/10.25504/FAIRsharing.jgzts3","doi":"10.25504/FAIRsharing.jgzts3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neuroimaging Informatics Technology Initiative (NIfTI) is an open file format commonly used to store brain imaging data obtained using Magnetic Resonance Imaging methods.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17347}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology"],"domains":["Medical imaging","Image","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6021,"fairsharing_record_id":671,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:46.332Z","updated_at":"2021-09-30T09:27:46.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10702,"fairsharing_record_id":671,"organisation_id":2022,"relation":"funds","created_at":"2023-06-27T08:50:53.423Z","updated_at":"2023-06-27T08:50:53.423Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10703,"fairsharing_record_id":671,"organisation_id":2023,"relation":"funds","created_at":"2023-06-27T08:50:53.426Z","updated_at":"2023-06-27T08:50:53.426Z","grant_id":null,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"672","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:56.000Z","updated_at":"2022-11-01T11:57:07.172Z","metadata":{"doi":"10.25504/FAIRsharing.B2sbNh","name":"FAIR Metrics - Use Qualified References","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_I3","citations":[],"identifier":672,"description":"FM-I3 is a metric concerned with relationships within (meta)data, and between local and third-party data, and whether or not they have explicit and ‘useful’ semantic meaning. One of the reasons that HTML is not suitable for machine-readable knowledge representation is that the hyperlinks between one document and another do not explain the nature of the relationship - it is “unqualified”. For Interoperability, the relationships within and between data must be more semantically rich than “is (somehow) related to”. Numerous ontologies include richer relationships that can be used for this purpose, at various levels of domain-specificity. For example, the use of skos for terminologies (e.g. exact matches), or the use of SIO for genomics (e.g. “has phenotype” for the relationship between a variant and its phenotypic consequences). The expectation is that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5-star linked data. Therefore linksets (in the formal sense) representing part or all of a resource must be provided. This metric applies to part I3 of the FAIR Principles.","abbreviation":"FM-I3","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001352","bsg-s001352"],"name":"FAIRsharing record for: FAIR Metrics - Use Qualified References","abbreviation":"FM-I3","url":"https://fairsharing.org/10.25504/FAIRsharing.B2sbNh","doi":"10.25504/FAIRsharing.B2sbNh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-I3 is a metric concerned with relationships within (meta)data, and between local and third-party data, and whether or not they have explicit and ‘useful’ semantic meaning. One of the reasons that HTML is not suitable for machine-readable knowledge representation is that the hyperlinks between one document and another do not explain the nature of the relationship - it is “unqualified”. For Interoperability, the relationships within and between data must be more semantically rich than “is (somehow) related to”. Numerous ontologies include richer relationships that can be used for this purpose, at various levels of domain-specificity. For example, the use of skos for terminologies (e.g. exact matches), or the use of SIO for genomics (e.g. “has phenotype” for the relationship between a variant and its phenotypic consequences). The expectation is that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5-star linked data. Therefore linksets (in the formal sense) representing part or all of a resource must be provided. This metric applies to part I3 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1414,"relation":"undefined"}],"grants":[{"id":6023,"fairsharing_record_id":672,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:46.403Z","updated_at":"2021-09-30T09:27:46.403Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6022,"fairsharing_record_id":672,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:46.372Z","updated_at":"2021-09-30T09:27:46.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6024,"fairsharing_record_id":672,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:46.427Z","updated_at":"2021-09-30T09:27:46.427Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6025,"fairsharing_record_id":672,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:46.451Z","updated_at":"2021-09-30T09:27:46.451Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"673","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-01-11T14:35:00.373Z","metadata":{"doi":"10.25504/FAIRsharing.r34hjr","name":"Minimal Standard Terminology of Digestive Endoscopy, French","status":"deprecated","contacts":[{"contact_name":"NLM Customer Service","contact_email":"jwillis@nlm.nih.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/MSTDE-FRE","citations":[],"identifier":673,"description":"Metathesaurus Version of Minimal Standard Terminology Digestive Endoscopy, French Translation, 2001","abbreviation":"MSTDE-FRE","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSTDE-FRE","name":"MSTDE-FRE","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"This resource no longer exists outside of BioPortal that we can find, and therefore has been deprecated. Please let us know if there is an official project page for this resource and we will update the status of the record."},"legacy_ids":["bsg-000820","bsg-s000820"],"name":"FAIRsharing record for: Minimal Standard Terminology of Digestive Endoscopy, French","abbreviation":"MSTDE-FRE","url":"https://fairsharing.org/10.25504/FAIRsharing.r34hjr","doi":"10.25504/FAIRsharing.r34hjr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metathesaurus Version of Minimal Standard Terminology Digestive Endoscopy, French Translation, 2001","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gastroenterology"],"domains":[],"taxonomies":["All"],"user_defined_tags":["endoscopy"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"674","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:37:13.000Z","updated_at":"2022-12-14T08:24:14.560Z","metadata":{"doi":"10.25504/FAIRsharing.lSuKtr","name":"IVOA Server-side Operations for Data Access","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SODA/index.html","citations":[{"publication_id":2941}],"identifier":674,"description":"This document describes the Server-side Operations for Data Access (SODA) web service capability. SODA is a low-level data access capability or server side data processing that can act upon the data files, performing various kinds of operations: filtering/subsection, transformations, pixel operations, and applying functions to the data.","abbreviation":"SODA","support_links":[{"url":"http://ivoa.net/documents/SODA/20170604/REC-SODA-1.0.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SODA","name":"SODA Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001159","bsg-s001159"],"name":"FAIRsharing record for: IVOA Server-side Operations for Data Access","abbreviation":"SODA","url":"https://fairsharing.org/10.25504/FAIRsharing.lSuKtr","doi":"10.25504/FAIRsharing.lSuKtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document describes the Server-side Operations for Data Access (SODA) web service capability. SODA is a low-level data access capability or server side data processing that can act upon the data files, performing various kinds of operations: filtering/subsection, transformations, pixel operations, and applying functions to the data.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11463}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2941,"pubmed_id":null,"title":"IVOA Server-side Operations for Data Access Version 1.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0517B","authors":"Bonnarel, François; Dowler, Patrick; Demleitner, Markus; Tody, Douglas; Dempsey, James","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.458Z","updated_at":"2021-09-30T08:28:02.458Z"}],"licence_links":[],"grants":[{"id":6026,"fairsharing_record_id":674,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:46.478Z","updated_at":"2021-09-30T09:27:46.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6027,"fairsharing_record_id":674,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:27:46.501Z","updated_at":"2021-09-30T09:27:46.501Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"675","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:37:04.336Z","metadata":{"doi":"10.25504/FAIRsharing.6mmbzs","name":"Protein-ligand interaction ontology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de"}],"homepage":"https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads.html","identifier":675,"description":"The protein--ligand interaction ontology (PLIO) was developed around three main concepts, namely target, ligand and interaction, and was enriched by adding synonyms, useful annotations and references. PLIO represents knowledge about the interaction of proteins and ligands (including drugs) and has a different scope and conceptual resolution than, for example, the molecular interaction ontology. An important feature of PLIO is that it links directly from an ontology framework describing protein–ligand interactions to the mathematical formulas relevant for the computation of some of the entities represented in the ontology.","abbreviation":"PLIO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PLIO","name":"PLIO","portal":"BioPortal"}]},"legacy_ids":["bsg-000926","bsg-s000926"],"name":"FAIRsharing record for: Protein-ligand interaction ontology","abbreviation":"PLIO","url":"https://fairsharing.org/10.25504/FAIRsharing.6mmbzs","doi":"10.25504/FAIRsharing.6mmbzs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The protein--ligand interaction ontology (PLIO) was developed around three main concepts, namely target, ligand and interaction, and was enriched by adding synonyms, useful annotations and references. PLIO represents knowledge about the interaction of proteins and ligands (including drugs) and has a different scope and conceptual resolution than, for example, the molecular interaction ontology. An important feature of PLIO is that it links directly from an ontology framework describing protein–ligand interactions to the mathematical formulas relevant for the computation of some of the entities represented in the ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Protein interaction","Ligand","Binding","Ligand binding domain binding","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1006,"pubmed_id":21546398,"title":"PLIO: an ontology for formal description of protein-ligand interactions.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr256","authors":"Ivchenko O,Younesi E,Shahid M,Wolf A,Muller B,Hofmann-Apitius M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr256","created_at":"2021-09-30T08:24:11.346Z","updated_at":"2021-09-30T08:24:11.346Z"}],"licence_links":[],"grants":[{"id":6029,"fairsharing_record_id":675,"organisation_id":296,"relation":"maintains","created_at":"2021-09-30T09:27:46.551Z","updated_at":"2021-09-30T09:27:46.551Z","grant_id":null,"is_lead":false,"saved_state":{"id":296,"name":"Bonn-Aachen International Center for Information Technology (b-it)","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6028,"fairsharing_record_id":675,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:46.528Z","updated_at":"2021-09-30T09:27:46.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6030,"fairsharing_record_id":675,"organisation_id":3021,"relation":"maintains","created_at":"2021-09-30T09:27:46.578Z","updated_at":"2021-09-30T09:27:46.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":3021,"name":"University of Bonn, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"653","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.560Z","metadata":{"doi":"10.25504/FAIRsharing.1mk4v9","name":"STrengthening the Reporting of OBservational studies in Epidemiology","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"strobe@ispm.unibe.ch"}],"homepage":"http://www.strobe-statement.org/","identifier":653,"description":"STROBE was created by an international, collaborative initiative of epidemiologists, methodologists, statisticians, researchers and journal editors involved in the conduct and dissemination of observational studies, with the common aim of STrengthening the Reporting of OBservational studies in Epidemiology.","abbreviation":"STROBE","support_links":[{"url":"http://www.strobe-statement.org/index.php?id=available-checklists","name":"STROBE checklists","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000064","bsg-s000064"],"name":"FAIRsharing record for: STrengthening the Reporting of OBservational studies in Epidemiology","abbreviation":"STROBE","url":"https://fairsharing.org/10.25504/FAIRsharing.1mk4v9","doi":"10.25504/FAIRsharing.1mk4v9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STROBE was created by an international, collaborative initiative of epidemiologists, methodologists, statisticians, researchers and journal editors involved in the conduct and dissemination of observational studies, with the common aim of STrengthening the Reporting of OBservational studies in Epidemiology.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17364},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11924},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12393}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Epidemiology"],"domains":["Disease onset","Observation design","Disease","Disease course"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":134,"pubmed_id":27270749,"title":"Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology (STROBE-nut): An Extension of the STROBE Statement","year":2016,"url":"http://doi.org/10.1371/journal.pmed.1002036","authors":"Lachat C, Hawwash D, Ocké MC, Berg C, Forsum E, Hörnell A, Larsson CL, Sonestedt E, Wirfält E, Åkesson A, Kolsteren P, Byrnes G, De Keyzer W, Van Camp J, Cade JE, Slimani N, Cevallos M, Egger M, Huybrechts I","journal":"Plos Medicine","doi":"10.1371/journal.pmed.1002036","created_at":"2021-09-30T08:22:34.681Z","updated_at":"2021-09-30T08:22:34.681Z"},{"id":938,"pubmed_id":18313558,"title":"The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.","year":2008,"url":"http://doi.org/10.1016/j.jclinepi.2007.11.008","authors":"von Elm E,Altman DG,Egger M,Pocock SJ,Gotzsche PC,Vandenbroucke JP","journal":"J Clin Epidemiol","doi":"10.1016/j.jclinepi.2007.11.008","created_at":"2021-09-30T08:24:03.771Z","updated_at":"2021-09-30T08:24:03.771Z"},{"id":939,"pubmed_id":29061635,"title":"The STROBE extensions: protocol for a qualitative assessment of content and a survey of endorsement.","year":2017,"url":"http://doi.org/10.1136/bmjopen-2017-019043","authors":"Sharp MK,Utrobicic A,Gomez G,Cobo E,Wager E,Hren D","journal":"BMJ Open","doi":"10.1136/bmjopen-2017-019043","created_at":"2021-09-30T08:24:03.879Z","updated_at":"2021-09-30T08:24:03.879Z"}],"licence_links":[],"grants":[{"id":5997,"fairsharing_record_id":653,"organisation_id":954,"relation":"funds","created_at":"2021-09-30T09:27:45.661Z","updated_at":"2021-09-30T09:27:45.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":954,"name":"European Science Foundation (ESF)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5999,"fairsharing_record_id":653,"organisation_id":2655,"relation":"maintains","created_at":"2021-09-30T09:27:45.743Z","updated_at":"2021-09-30T09:27:45.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2655,"name":"STROBE group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5995,"fairsharing_record_id":653,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:45.589Z","updated_at":"2021-09-30T09:27:45.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5996,"fairsharing_record_id":653,"organisation_id":1437,"relation":"maintains","created_at":"2021-09-30T09:27:45.624Z","updated_at":"2021-09-30T09:27:45.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":1437,"name":"Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5998,"fairsharing_record_id":653,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:45.713Z","updated_at":"2021-09-30T09:27:45.713Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"654","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-23T15:12:17.978Z","metadata":{"doi":"10.25504/FAIRsharing.shpqgt","name":"Halocynthia roretzi Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioelf-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":654,"description":"The first ontology describing the anatomy and the development of Halocynthia roretzi.","abbreviation":"HAROREADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HAROREADO","name":"HAROREADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000812","bsg-s000812"],"name":"FAIRsharing record for: Halocynthia roretzi Anatomy and Development Ontology","abbreviation":"HAROREADO","url":"https://fairsharing.org/10.25504/FAIRsharing.shpqgt","doi":"10.25504/FAIRsharing.shpqgt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Halocynthia roretzi.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Halocynthia roretzi"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10449,"fairsharing_record_id":654,"organisation_id":1974,"relation":"funds","created_at":"2023-03-23T15:11:44.589Z","updated_at":"2023-03-23T15:11:44.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"655","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-24T11:15:48.111Z","metadata":{"doi":"10.25504/FAIRsharing.g7y77y","name":"Ciona savignyi Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":655,"description":"The first ontology describing the anatomy and the development of Ciona savignyi, based on the Hotta developmental table.","abbreviation":"CISAVIADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CISAVIADO","name":"CISAVIADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000814","bsg-s000814"],"name":"FAIRsharing record for: Ciona savignyi Anatomy and Development Ontology","abbreviation":"CISAVIADO","url":"https://fairsharing.org/10.25504/FAIRsharing.g7y77y","doi":"10.25504/FAIRsharing.g7y77y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Ciona savignyi, based on the Hotta developmental table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Ciona savignyi"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10457,"fairsharing_record_id":655,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T11:15:22.940Z","updated_at":"2023-03-24T11:15:22.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"656","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:47.000Z","updated_at":"2022-11-01T11:57:20.015Z","metadata":{"doi":"10.25504/FAIRsharing.0A9kNV","name":"FAIR Metrics - Use FAIR Vocabularies","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_I2","citations":[],"identifier":656,"description":"FM-I2 is a metric concerning whether the metadata values and qualified relations of a resource are themselves FAIR, for example, terms from open, community-accepted vocabularies published in an appropriate knowledge-exchange format. It is not possible to unambiguously interpret metadata represented as simple keywords or other non-qualified symbols. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. As such, IRIs representing the vocabularies used for (meta)data must be provided. This metric applies to part I2 of the FAIR Principles.","abbreviation":"FM-I2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001351","bsg-s001351"],"name":"FAIRsharing record for: FAIR Metrics - Use FAIR Vocabularies","abbreviation":"FM-I2","url":"https://fairsharing.org/10.25504/FAIRsharing.0A9kNV","doi":"10.25504/FAIRsharing.0A9kNV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-I2 is a metric concerning whether the metadata values and qualified relations of a resource are themselves FAIR, for example, terms from open, community-accepted vocabularies published in an appropriate knowledge-exchange format. It is not possible to unambiguously interpret metadata represented as simple keywords or other non-qualified symbols. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. As such, IRIs representing the vocabularies used for (meta)data must be provided. This metric applies to part I2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1412,"relation":"undefined"}],"grants":[{"id":6002,"fairsharing_record_id":656,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:45.817Z","updated_at":"2021-09-30T09:27:45.817Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6000,"fairsharing_record_id":656,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:45.767Z","updated_at":"2021-09-30T09:27:45.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6001,"fairsharing_record_id":656,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:45.793Z","updated_at":"2021-09-30T09:27:45.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6003,"fairsharing_record_id":656,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:45.844Z","updated_at":"2021-09-30T09:27:45.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"657","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-12-23T18:06:59.327Z","metadata":{"doi":"10.25504/FAIRsharing.pzxjh","name":"Cerrado concepts and plant community dynamics","status":"ready","contacts":[{"contact_name":"Adriano Souza","contact_email":"souza.a@outlook.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/CCON","citations":[],"identifier":657,"description":"The ontology of Cerrado wood plant dynamics was created in order to represent the set of concepts about the dynamics, that is, changes over time of the wood vegetation structure, of Cerrado. Ccon describes the main parameters used to measure the changes, such as mortality rate and recruitment rate.","abbreviation":"CCON","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CCON","name":"CCON","portal":"BioPortal"}]},"legacy_ids":["bsg-000811","bsg-s000811"],"name":"FAIRsharing record for: Cerrado concepts and plant community dynamics","abbreviation":"CCON","url":"https://fairsharing.org/10.25504/FAIRsharing.pzxjh","doi":"10.25504/FAIRsharing.pzxjh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of Cerrado wood plant dynamics was created in order to represent the set of concepts about the dynamics, that is, changes over time of the wood vegetation structure, of Cerrado. Ccon describes the main parameters used to measure the changes, such as mortality rate and recruitment rate.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Plant Ecology","Population Dynamics","Biodiversity","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"658","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-09-28T13:01:25.676Z","metadata":{"doi":"10.25504/FAIRsharing.gdrs2p","name":"Semantic DICOM Ontology","status":"deprecated","contacts":[{"contact_name":"Detlef Grittner","contact_email":"detlef.grittner@sohard.de"}],"homepage":"http://semantic-dicom.org","citations":[],"identifier":658,"description":"An ontology for DICOM as used in the SeDI project.","abbreviation":"SEDI","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SEDI","name":"SEDI","portal":"BioPortal"}],"deprecation_date":"2022-09-28","deprecation_reason":"This resource can no longer be found via the project homepage, and the version available in BioPortal was last updated in 2015. As such we cannot state with confidence that this resource is ready."},"legacy_ids":["bsg-000886","bsg-s000886"],"name":"FAIRsharing record for: Semantic DICOM Ontology","abbreviation":"SEDI","url":"https://fairsharing.org/10.25504/FAIRsharing.gdrs2p","doi":"10.25504/FAIRsharing.gdrs2p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for DICOM as used in the SeDI project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"659","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:05:36.000Z","updated_at":"2022-07-20T11:44:33.861Z","metadata":{"name":"ICIS Germplasm Methods Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_040:ROOT","citations":[],"identifier":659,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The ICIS Germplasm Methods Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_040","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2011,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001171","bsg-s001171"],"name":"FAIRsharing record for: ICIS Germplasm Methods Ontology","abbreviation":"CO_040","url":"https://fairsharing.org/fairsharing_records/659","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The ICIS Germplasm Methods Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science","Plant Anatomy","Plant Cell Biology"],"domains":["Germplasm"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":14,"relation":"undefined"}],"grants":[{"id":6004,"fairsharing_record_id":659,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:45.867Z","updated_at":"2021-09-30T09:27:45.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"631","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-16T18:57:41.008Z","metadata":{"doi":"10.25504/FAIRsharing.bc8ayj","name":"Zebrafish Developmental Stages","status":"ready","contacts":[{"contact_name":"ZFIN administrators","contact_email":"zfinadmin@zfin.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/ZFS","citations":[],"identifier":631,"description":"An ontology of developmental stages of the Zebrafish (Danio rerio). Note that ZFA includes the leaf nodes of this ontology.","abbreviation":"ZFS","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZFS","name":"ZFS","portal":"BioPortal"}]},"legacy_ids":["bsg-000802","bsg-s000802"],"name":"FAIRsharing record for: Zebrafish Developmental Stages","abbreviation":"ZFS","url":"https://fairsharing.org/10.25504/FAIRsharing.bc8ayj","doi":"10.25504/FAIRsharing.bc8ayj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of developmental stages of the Zebrafish (Danio rerio). Note that ZFA includes the leaf nodes of this ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Zoology","Marine Biology","Developmental Biology"],"domains":["Aging","Life cycle"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10421,"fairsharing_record_id":631,"organisation_id":3110,"relation":"maintains","created_at":"2023-03-16T18:56:53.154Z","updated_at":"2023-03-16T18:56:53.154Z","grant_id":null,"is_lead":true,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"632","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-05-05T07:32:49.974Z","metadata":{"doi":"10.25504/FAIRsharing.9ry4cz","name":"GoMapMan","status":"ready","contacts":[{"contact_name":"Ziva Ramsak","contact_email":"ziva.ramsak@nib.si"}],"homepage":"https://gomapman.nib.si/","citations":[],"identifier":632,"description":"GoMapMan is an open web-accessible resource for gene functional annotations in the plant sciences. It was developed to facilitate improvement, consolidation and visualization of gene annotations across several plant species.","abbreviation":"GMM","data_curation":{"type":"not found"},"support_links":[{"url":"kristina.gruden@nib.si","name":"Kristina Gruden","type":"Support email"},{"url":"https://gomapman.nib.si/help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GMM","name":"GMM","portal":"BioPortal"}],"data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["bsg-000798","bsg-s000798"],"name":"FAIRsharing record for: GoMapMan","abbreviation":"GMM","url":"https://fairsharing.org/10.25504/FAIRsharing.9ry4cz","doi":"10.25504/FAIRsharing.9ry4cz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GoMapMan is an open web-accessible resource for gene functional annotations in the plant sciences. It was developed to facilitate improvement, consolidation and visualization of gene annotations across several plant species.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16719}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Functional Genomics","Proteomics","Plant Genetics"],"domains":["Gene functional annotation","Metabolite","Micro RNA","Gene"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Germany","Slovenia"],"publications":[{"id":3749,"pubmed_id":null,"title":"GoMapMan: integration, consolidation and visualization of plant gene annotations within the MapMan ontology","year":2013,"url":"http://dx.doi.org/10.1093/nar/gkt1056","authors":"Ramšak, Živa; Baebler, Špela; Rotter, Ana; Korbar, Matej; Mozetič, Igor; Usadel, Björn; Gruden, Kristina; ","journal":"Nucl. Acids Res.","doi":"10.1093/nar/gkt1056","created_at":"2022-12-23T11:27:41.201Z","updated_at":"2022-12-23T11:27:41.201Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":3049,"relation":"applies_to_content"}],"grants":[{"id":10256,"fairsharing_record_id":632,"organisation_id":3844,"relation":"maintains","created_at":"2022-12-23T11:34:09.183Z","updated_at":"2022-12-23T11:34:09.183Z","grant_id":null,"is_lead":true,"saved_state":{"id":3844,"name":"Jožef Stefan Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10257,"fairsharing_record_id":632,"organisation_id":3807,"relation":"funds","created_at":"2022-12-23T11:34:09.197Z","updated_at":"2022-12-23T11:34:09.197Z","grant_id":1920,"is_lead":false,"saved_state":{"id":3807,"name":"Slovenian Research Agency","grant":"Grants J4-2228, P2-0103","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBandDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1bf14cccff2db5791e6ee8bf87c8dc06ea1f391a/GMM%20RGB.png?disposition=inline","exhaustive_licences":true}},{"id":"634","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T11:13:54.093Z","metadata":{"doi":"10.25504/FAIRsharing.mp0rwf","name":"Ontology of Biological Attributes","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":null}],"homepage":"https://github.com/obophenotype/bio-attribute-ontology","citations":[],"identifier":634,"description":"A collection of biological attributes / traits covering all kingdoms of life. It is interoperable with a number of other community ontologies.","abbreviation":"OBA","support_links":[{"url":"http://wiki.geneontology.org/index.php/Extensions/x-attribute","name":"How OBA is used in GO","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBA","name":"OBA","portal":"BioPortal"}]},"legacy_ids":["bsg-000795","bsg-s000795"],"name":"FAIRsharing record for: Ontology of Biological Attributes","abbreviation":"OBA","url":"https://fairsharing.org/10.25504/FAIRsharing.mp0rwf","doi":"10.25504/FAIRsharing.mp0rwf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A collection of biological attributes / traits covering all kingdoms of life. It is interoperable with a number of other community ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2531,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"635","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-03-15T07:57:06.571Z","metadata":{"doi":"10.25504/FAIRsharing.ngn3a6","name":"Genome Component Ontology","status":"ready","contacts":[{"contact_name":"Zuotian Tatum","contact_email":"z.tatum@lumc.nl"}],"homepage":"http://bioportal.bioontology.org/ontologies/GCO","citations":[],"identifier":635,"description":"The Genome Component Ontology is intended to define the abstract division of the total genetic information of an organism by its physical separation into different components, thereby providing a high level reference point to which more specific descriptions of the characteristics of these components can be linked.","abbreviation":"GCO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GCO","name":"GCO","portal":"BioPortal"}]},"legacy_ids":["bsg-001066","bsg-s001066"],"name":"FAIRsharing record for: Genome Component Ontology","abbreviation":"GCO","url":"https://fairsharing.org/10.25504/FAIRsharing.ngn3a6","doi":"10.25504/FAIRsharing.ngn3a6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome Component Ontology is intended to define the abstract division of the total genetic information of an organism by its physical separation into different components, thereby providing a high level reference point to which more specific descriptions of the characteristics of these components can be linked.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10418,"fairsharing_record_id":635,"organisation_id":1705,"relation":"undefined","created_at":"2023-03-15T07:56:59.512Z","updated_at":"2023-03-15T07:56:59.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"636","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-23T15:19:33.691Z","metadata":{"doi":"10.25504/FAIRsharing.tz3682","name":"Phallusia fumigata Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":636,"description":"The first ontology describing the anatomy and the development of Phallusia fumigata.","abbreviation":"PHFUMIADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHFUMIADO","name":"PHFUMIADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000804","bsg-s000804"],"name":"FAIRsharing record for: Phallusia fumigata Anatomy and Development Ontology","abbreviation":"PHFUMIADO","url":"https://fairsharing.org/10.25504/FAIRsharing.tz3682","doi":"10.25504/FAIRsharing.tz3682","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Phallusia fumigata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Phallusia fumigata"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10450,"fairsharing_record_id":636,"organisation_id":1974,"relation":"funds","created_at":"2023-03-23T15:18:02.444Z","updated_at":"2023-03-23T15:18:02.444Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"638","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2024-03-01T09:26:26.262Z","metadata":{"doi":"10.25504/FAIRsharing.dzxae","name":"Food Ontology","status":"ready","contacts":[{"contact_name":"Damion Dooley","contact_email":"damion.dooley@bccdc.ca","contact_orcid":"0000-0002-8844-9165"}],"homepage":"https://foodon.org/","citations":[{"doi":"10.1038/s41538-018-0032-6","pubmed_id":31304272,"publication_id":2680}],"identifier":638,"description":"The need to represent knowledge about food is central to many human activities including agriculture, medicine, food safety inspection, shopping patterns, and sustainable development. FoodOn is built to interoperate with the OBO Library and to represent entities which bear a food role. Initially the ontology will focus on the human-centric categorization and handling of food, but in the future it will also encompass materials in natural ecosystems and food webs. We aim to develop semantics for food safety, food security, the agricultural and animal husbandry practices linked to food production, culinary, nutritional and chemical ingredients and processes.","abbreviation":"FOODON","support_links":[{"url":"info@genepio.org","name":"Contact","type":"Support email"},{"url":"https://foodon.org/design/","name":"FoodOn Design","type":"Help documentation"},{"url":"https://groups.google.com/forum/#!forum/foodon-consortium/","name":"Google mailing list","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/ols/ontologies/foodon","name":"EBI Ontology Lookup Service: FoodOn","type":"Help documentation"},{"url":"http://www.ontobee.org/ontology/FOODON","name":"Ontobee Linked Data Server: FoodOn","type":"Help documentation"},{"url":"https://github.com/FoodOntology/foodon","name":"GitHub Repository","type":"Github"},{"url":"https://foodon.org/reuse/","name":"FoodOn Reuse","type":"Help documentation"},{"url":"https://foodon.org/curation-rules/","name":"Curation rules","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FOODON","name":"FOODON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/foodon.html","name":"foodon","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000831","bsg-s000831"],"name":"FAIRsharing record for: Food Ontology","abbreviation":"FOODON","url":"https://fairsharing.org/10.25504/FAIRsharing.dzxae","doi":"10.25504/FAIRsharing.dzxae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The need to represent knowledge about food is central to many human activities including agriculture, medicine, food safety inspection, shopping patterns, and sustainable development. FoodOn is built to interoperate with the OBO Library and to represent entities which bear a food role. Initially the ontology will focus on the human-centric categorization and handling of food, but in the future it will also encompass materials in natural ecosystems and food webs. We aim to develop semantics for food safety, food security, the agricultural and animal husbandry practices linked to food production, culinary, nutritional and chemical ingredients and processes.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17361},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14553}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Environmental Science","Medicine","Agriculture"],"domains":["Sustainability","Food","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Germany","Saudi Arabia","United States"],"publications":[{"id":2381,"pubmed_id":28694792,"title":"Context Is Everything: Harmonization of Critical Food Microbiology Descriptors and Metadata for Improved Food Safety and Surveillance.","year":2017,"url":"http://doi.org/10.3389/fmicb.2017.01068","authors":"Griffiths E,Dooley D,Graham M,Van Domselaar G,Brinkman FSL,Hsiao WWL","journal":"Front Microbiol","doi":"10.3389/fmicb.2017.01068","created_at":"2021-09-30T08:26:52.567Z","updated_at":"2021-09-30T08:26:52.567Z"},{"id":2680,"pubmed_id":31304272,"title":"FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration.","year":2019,"url":"http://doi.org/10.1038/s41538-018-0032-6","authors":"Dooley DM,Griffiths EJ,Gosal GS,Buttigieg PL,Hoehndorf R,Lange MC,Schriml LM,Brinkman FSL,Hsiao WWL","journal":"NPJ Sci Food","doi":"10.1038/s41538-018-0032-6","created_at":"2021-09-30T08:27:29.138Z","updated_at":"2021-09-30T08:27:29.138Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1839,"relation":"undefined"}],"grants":[{"id":5970,"fairsharing_record_id":638,"organisation_id":2135,"relation":"funds","created_at":"2021-09-30T09:27:44.483Z","updated_at":"2021-09-30T09:27:44.483Z","grant_id":null,"is_lead":false,"saved_state":{"id":2135,"name":"Networks of Centres of Excellence of Canada, Ottawa, ON, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5972,"fairsharing_record_id":638,"organisation_id":62,"relation":"funds","created_at":"2021-09-30T09:27:44.533Z","updated_at":"2021-09-30T09:27:44.533Z","grant_id":null,"is_lead":false,"saved_state":{"id":62,"name":"AllerGen NCE, Hamilton, ON, Canada","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5971,"fairsharing_record_id":638,"organisation_id":1110,"relation":"funds","created_at":"2021-09-30T09:27:44.509Z","updated_at":"2021-09-30T09:29:30.744Z","grant_id":278,"is_lead":false,"saved_state":{"id":1110,"name":"Genome Canada BCB 2015, Canada","grant":"#254EPI","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"660","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:31:33.000Z","updated_at":"2021-11-24T13:18:39.840Z","metadata":{"doi":"10.25504/FAIRsharing.6eg9a3","name":"Big Gene Prediction","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigGenePred.html","identifier":660,"description":"The bigGenePred format stores annotation items that are a linked collection of exons, much as BED files indexed as bigBeds do. However, the bigGenePred format includes 8 additional fields that contain details about coding frames and other gene-specific information.","abbreviation":"bigGenePred","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"bedToBigBed"}]},"legacy_ids":["bsg-000695","bsg-s000695"],"name":"FAIRsharing record for: Big Gene Prediction","abbreviation":"bigGenePred","url":"https://fairsharing.org/10.25504/FAIRsharing.6eg9a3","doi":"10.25504/FAIRsharing.6eg9a3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigGenePred format stores annotation items that are a linked collection of exons, much as BED files indexed as bigBeds do. However, the bigGenePred format includes 8 additional fields that contain details about coding frames and other gene-specific information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Gene prediction","Exon","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6005,"fairsharing_record_id":660,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:45.893Z","updated_at":"2021-09-30T09:27:45.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"661","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:04.000Z","updated_at":"2022-11-01T11:54:34.305Z","metadata":{"doi":"10.25504/FAIRsharing.Lcws1N","name":"FAIR Metrics - Indexed in a searchable resource","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F4","citations":[],"identifier":661,"description":"FM-F4 provides a measurement of the degree to which the digital resource can be found using web-based search engines. Most people use a search engine to initiate a search for a particular digital resource of interest. If the resource or its metadata are not indexed by web search engines, then this would substantially diminish an individual’s ability to find and reuse it. Thus, the ability to discover the resource should be tested using i) its identifier, ii) other text-based metadata. The persistent identifier of the resource and one or more URLs that give search results of different search engines must be provided. This metric applies to part F4 of the FAIR Principles.","abbreviation":"FM-F4","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001346","bsg-s001346"],"name":"FAIRsharing record for: FAIR Metrics - Indexed in a searchable resource","abbreviation":"FM-F4","url":"https://fairsharing.org/10.25504/FAIRsharing.Lcws1N","doi":"10.25504/FAIRsharing.Lcws1N","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-F4 provides a measurement of the degree to which the digital resource can be found using web-based search engines. Most people use a search engine to initiate a search for a particular digital resource of interest. If the resource or its metadata are not indexed by web search engines, then this would substantially diminish an individual’s ability to find and reuse it. Thus, the ability to discover the resource should be tested using i) its identifier, ii) other text-based metadata. The persistent identifier of the resource and one or more URLs that give search results of different search engines must be provided. This metric applies to part F4 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1413,"relation":"undefined"}],"grants":[{"id":6008,"fairsharing_record_id":661,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:45.967Z","updated_at":"2021-09-30T09:27:45.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6006,"fairsharing_record_id":661,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:45.917Z","updated_at":"2021-09-30T09:27:45.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6007,"fairsharing_record_id":661,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:45.944Z","updated_at":"2021-09-30T09:27:45.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6009,"fairsharing_record_id":661,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:45.993Z","updated_at":"2021-09-30T09:27:45.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"662","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T19:08:42.000Z","updated_at":"2023-10-02T07:44:17.625Z","metadata":{"doi":"10.25504/FAIRsharing.4c40ed","name":"General Ontology for Linguistic Description","status":"ready","contacts":[{"contact_name":"GOLD@CLARIN","contact_email":"gold@clarin.eu","contact_orcid":null}],"homepage":"http://www.linguistics-ontology.org/info/about","citations":[],"identifier":662,"description":"GOLD is an ontology for encoding linguistic data. It gives a formalized account of the most basic categories and relations used in the scientific description of human language. GOLD will facilitate automated reasoning over linguistic data and help establish the basic concepts through which intelligent search can be carried out. GOLD is meant to be compatible with the general goals of the Semantic Web.\n\nThe maintenance of GOLD is in the process of being transferred from the Linguist List to CLARIN-ERIC. Please bear with us while the new locations and repositories are established.","abbreviation":"GOLD","support_links":[{"url":"http://linguistics-ontology.org/info/about","name":"About GOLD","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"https://scholars.sil.org/gary_f_simons/workpaper/metaschema","name":"SIL"},{"url":"https://www.clarin.eu/content/clarin-concept-registry","name":"CLARIN Concept Registry"}]},"legacy_ids":["bsg-001241","bsg-s001241"],"name":"FAIRsharing record for: General Ontology for Linguistic Description","abbreviation":"GOLD","url":"https://fairsharing.org/10.25504/FAIRsharing.4c40ed","doi":"10.25504/FAIRsharing.4c40ed","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GOLD is an ontology for encoding linguistic data. It gives a formalized account of the most basic categories and relations used in the scientific description of human language. GOLD will facilitate automated reasoning over linguistic data and help establish the basic concepts through which intelligent search can be carried out. GOLD is meant to be compatible with the general goals of the Semantic Web.\n\nThe maintenance of GOLD is in the process of being transferred from the Linguist List to CLARIN-ERIC. Please bear with us while the new locations and repositories are established.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Natural language processing","Classification"],"taxonomies":["Not applicable"],"user_defined_tags":["Interoperability"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":152,"relation":"undefined"}],"grants":[{"id":10961,"fairsharing_record_id":662,"organisation_id":566,"relation":"maintains","created_at":"2023-09-28T12:57:09.524Z","updated_at":"2023-09-28T12:57:09.524Z","grant_id":null,"is_lead":true,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure, European Research Infrastructure Consortium, Utrecht University","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"663","type":"fairsharing_records","attributes":{"created_at":"2018-12-10T16:47:46.000Z","updated_at":"2021-11-24T13:17:40.600Z","metadata":{"name":"Resource Description Framework in Attributes","status":"ready","contacts":[{"contact_name":"Ivan Herman","contact_email":"ivan@w3.org","contact_orcid":"0000-0003-0782-2704"}],"homepage":"https://www.w3.org/TR/rdfa-primer/","identifier":663,"description":"RDFa is an extension to HTML5 that helps you markup things like People, Places, Events, Recipes and Reviews. Search Engines and Web Services use this markup to generate better search listings and give you better visibility on the Web, so that people can find your website more easily.","abbreviation":"RDFa","support_links":[{"url":"public-rdfa@w3.org","name":"Public discussion","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/RDFa_1.1._Errata","name":"RDFa 1.1. Errata","type":"Help documentation"},{"url":"https://lists.w3.org/Archives/Public/public-rdfa/","name":"Mail Archives","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001338","bsg-s001338"],"name":"FAIRsharing record for: Resource Description Framework in Attributes","abbreviation":"RDFa","url":"https://fairsharing.org/fairsharing_records/663","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDFa is an extension to HTML5 that helps you markup things like People, Places, Events, Recipes and Reviews. Search Engines and Web Services use this markup to generate better search listings and give you better visibility on the Web, so that people can find your website more easily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":[],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":662,"relation":"undefined"},{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":663,"relation":"undefined"}],"grants":[{"id":6012,"fairsharing_record_id":663,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:46.067Z","updated_at":"2021-09-30T09:27:46.067Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"664","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:39.915Z","metadata":{"doi":"10.25504/FAIRsharing.mg1mdc","name":"A Gold Path format","status":"ready","contacts":[{"contact_name":"NCBI Genbank","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/assembly/agp/AGP_Specification/","identifier":664,"description":"AGP format describes the assembly of a larger sequence object from smaller objects. The large object can be a contig, a scaffold (supercontig), or a chromosome. Each line (row) of the AGP file describes a different piece of the object, and has the column entries defined below. Extended comments follow. It does not serve for either a description of how sequence reads were assembled, or a description of the alignments between components used to construct a larger object. Not all of the information in proprietary assembly files can be represented in the AGP format. It is also not for recording the spans of features like repeats or genes.","abbreviation":"AGP format"},"legacy_ids":["bsg-000522","bsg-s000522"],"name":"FAIRsharing record for: A Gold Path format","abbreviation":"AGP format","url":"https://fairsharing.org/10.25504/FAIRsharing.mg1mdc","doi":"10.25504/FAIRsharing.mg1mdc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AGP format describes the assembly of a larger sequence object from smaller objects. The large object can be a contig, a scaffold (supercontig), or a chromosome. Each line (row) of the AGP file describes a different piece of the object, and has the column entries defined below. Extended comments follow. It does not serve for either a description of how sequence reads were assembled, or a description of the alignments between components used to construct a larger object. Not all of the information in proprietary assembly files can be represented in the AGP format. It is also not for recording the spans of features like repeats or genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Genomic assembly"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":513,"relation":"undefined"}],"grants":[{"id":6014,"fairsharing_record_id":664,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:46.117Z","updated_at":"2021-09-30T09:27:46.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6013,"fairsharing_record_id":664,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:46.093Z","updated_at":"2021-09-30T09:27:46.093Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"642","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T12:16:11.075Z","metadata":{"doi":"10.25504/FAIRsharing.gdszhh","name":"Banana Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"https://cropontology.org/term/CO_325:ROOT","citations":[],"identifier":642,"description":"The Banana Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_325","support_links":[{"url":"i.vandenbergh@cgiar.org","name":"Inge van den Bergh","type":"Support email"},{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001125","bsg-s001125"],"name":"FAIRsharing record for: Banana Ontology","abbreviation":"CO_325","url":"https://fairsharing.org/10.25504/FAIRsharing.gdszhh","doi":"10.25504/FAIRsharing.gdszhh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Musa"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1820,"relation":"undefined"}],"grants":[{"id":5980,"fairsharing_record_id":642,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:27:44.879Z","updated_at":"2021-09-30T09:27:44.879Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5978,"fairsharing_record_id":642,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:44.798Z","updated_at":"2021-09-30T09:27:44.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5979,"fairsharing_record_id":642,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:27:44.839Z","updated_at":"2021-09-30T09:27:44.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5981,"fairsharing_record_id":642,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:44.923Z","updated_at":"2021-09-30T09:27:44.923Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"643","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-18T08:52:06.519Z","metadata":{"doi":"10.25504/FAIRsharing.z0p37e","name":"Ontology for Modeling and Representation of Social Entities","status":"ready","contacts":[{"contact_name":"William Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":"0000-0002-9881-1017"}],"homepage":"https://github.com/mcwdsi/OMRSE","citations":[],"identifier":643,"description":"The Ontology for Modeling and Representation of Social Entities (OMRSE) is an OBO Foundry ontology that represents the various entities that arise from human social interactions, such as social acts, social roles, social groups, and organizations. For more information on the social entities represented in OMRSE, please visit our wiki page or list of publications. OMRSE is designed to be a mid-level ontology that bridges the gap between BFO, which it reuses for its top-level hierarchy, and more specific domain or application ontologies. For this reason, we are always open to working with ontology developers who want to build interoperability between their projects and OMRSE.","abbreviation":"OMRSE","support_links":[{"url":"https://github.com/mcwdsi/OMRSE/issues","name":"Issue tracker","type":"Github"},{"url":"http://groups.google.com/group/omrse-discuss","name":"Google Group","type":"Forum"},{"url":"https://github.com/mcwdsi/OMRSE/wiki/OMRSE-Overview","name":"Wiki Overview Page","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMRSE","name":"OMRSE","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/omrse.html","name":"omrse","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000097","bsg-s000097"],"name":"FAIRsharing record for: Ontology for Modeling and Representation of Social Entities","abbreviation":"OMRSE","url":"https://fairsharing.org/10.25504/FAIRsharing.z0p37e","doi":"10.25504/FAIRsharing.z0p37e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Modeling and Representation of Social Entities (OMRSE) is an OBO Foundry ontology that represents the various entities that arise from human social interactions, such as social acts, social roles, social groups, and organizations. For more information on the social entities represented in OMRSE, please visit our wiki page or list of publications. OMRSE is designed to be a mid-level ontology that bridges the gap between BFO, which it reuses for its top-level hierarchy, and more specific domain or application ontologies. For this reason, we are always open to working with ontology developers who want to build interoperability between their projects and OMRSE.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11976},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12424}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Social Science","Health Science","Biomedical Science"],"domains":["Patient care","Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1503,"pubmed_id":27406187,"title":"The ontology of medically related social entities: recent developments.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0087-8","authors":"Hicks A,Hanna J,Welch D,Brochhausen M,Hogan WR","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0087-8","created_at":"2021-09-30T08:25:08.268Z","updated_at":"2021-09-30T08:25:08.268Z"},{"id":4015,"pubmed_id":null,"title":"An Ontological Representation of Money with a View Toward Economic Determinants of Health","year":2022,"url":"https://icbo-conference.github.io/icbo2022/papers/ICBO-2022_paper_8682.pdf","authors":"Diller M, Hogan WR","journal":"Proceedings of the International Conference on Biomedical Ontology (ICBO) 2022","doi":"","created_at":"2023-10-16T14:44:35.822Z","updated_at":"2023-10-16T14:44:35.822Z"},{"id":4016,"pubmed_id":null,"title":"Using Ontologies to Enhance Data on Intimate Partner Violence","year":2022,"url":"https://icbo-conference.github.io/icbo2022/papers/ICBO-2022_paper_6874.pdf","authors":"Dowland SC, Hogan WR","journal":"Proceedings of the International Conference on Biomedical Ontology (ICBO) 2022","doi":"","created_at":"2023-10-16T14:45:28.633Z","updated_at":"2023-10-16T14:45:28.633Z"},{"id":4017,"pubmed_id":null,"title":"Representing the Reality Underlying Demographic Data","year":2011,"url":"https://ceur-ws.org/Vol-833/paper20.pdf","authors":"Hogan WR, Garimalla S, Tariq SA","journal":"Proceedings of the International Conference on Biomedical Ontology (ICBO) 2011","doi":"","created_at":"2023-10-16T14:47:11.939Z","updated_at":"2023-10-16T14:47:11.939Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2664,"relation":"applies_to_content"}],"grants":[{"id":5986,"fairsharing_record_id":643,"organisation_id":1041,"relation":"funds","created_at":"2021-09-30T09:27:45.291Z","updated_at":"2021-09-30T09:32:49.964Z","grant_id":1797,"is_lead":false,"saved_state":{"id":1041,"name":"Foundation for Biomedical Research, Washington, USA","grant":"Program 4KB16","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5984,"fairsharing_record_id":643,"organisation_id":3014,"relation":"funds","created_at":"2021-09-30T09:27:45.028Z","updated_at":"2021-09-30T09:30:43.645Z","grant_id":841,"is_lead":false,"saved_state":{"id":3014,"name":"University of Arkansas for Medical Sciences","grant":"UL1 TR000039","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8207,"fairsharing_record_id":643,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:31:31.837Z","updated_at":"2021-09-30T09:31:31.898Z","grant_id":1211,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences","grant":"UL1 TR000064","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8352,"fairsharing_record_id":643,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:32:14.110Z","updated_at":"2021-09-30T09:32:14.165Z","grant_id":1528,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences","grant":"UL1TR001427","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11007,"fairsharing_record_id":643,"organisation_id":1810,"relation":"maintains","created_at":"2023-10-16T14:48:19.146Z","updated_at":"2023-10-16T14:48:19.146Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5987,"fairsharing_record_id":643,"organisation_id":2242,"relation":"maintains","created_at":"2021-09-30T09:27:45.328Z","updated_at":"2021-09-30T09:27:45.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":2242,"name":"OMRSE administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5985,"fairsharing_record_id":643,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:45.238Z","updated_at":"2021-09-30T09:32:25.571Z","grant_id":1614,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"1R01GM111324","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11006,"fairsharing_record_id":643,"organisation_id":3055,"relation":"collaborates_on","created_at":"2023-10-16T14:48:19.146Z","updated_at":"2023-10-16T14:48:19.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":5982,"fairsharing_record_id":643,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:44.962Z","updated_at":"2021-09-30T09:30:43.628Z","grant_id":841,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences","grant":"UL1 TR000039","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"644","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-07-20T09:02:50.912Z","metadata":{"doi":"10.25504/FAIRsharing.e3t0yw","name":"Confidence Information Ontology","status":"ready","contacts":[{"contact_name":"Frederic Bastian","contact_email":"frederic.bastian@unil.ch"}],"homepage":"https://github.com/BgeeDB/confidence-information-ontology","citations":[],"identifier":644,"description":"The Confidence Information Ontology (CIO) is an ontology to capture confidence information about annotations. Please note that the last update to the ontology files were in 2015.","abbreviation":"CIO","support_links":[],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIO","name":"CIO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/cio","name":"CIO in OLS","portal":"OLS"},{"url":"https://obofoundry.org/ontology/cio.html","name":"CIO in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000805","bsg-s000805"],"name":"FAIRsharing record for: Confidence Information Ontology","abbreviation":"CIO","url":"https://fairsharing.org/10.25504/FAIRsharing.e3t0yw","doi":"10.25504/FAIRsharing.e3t0yw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Confidence Information Ontology (CIO) is an ontology to capture confidence information about annotations. Please note that the last update to the ontology files were in 2015.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3476,"pubmed_id":null,"title":"The Confidence Information Ontology: a step towards a standard for asserting confidence in annotations","year":2015,"url":"http://dx.doi.org/10.1093/database/bav043","authors":"Bastian, F. B.; Chibucos, M. C.; Gaudet, P.; Giglio, M.; Holliday, G. L.; Huang, H.; Lewis, S. E.; Niknejad, A.; Orchard, S.; Poux, S.; Skunca, N.; Robinson-Rechavi, M.; ","journal":"Database","doi":"10.1093/database/bav043","created_at":"2022-07-15T14:06:21.709Z","updated_at":"2022-07-15T14:06:21.709Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2731,"relation":"applies_to_content"}],"grants":[{"id":9677,"fairsharing_record_id":644,"organisation_id":3597,"relation":"maintains","created_at":"2022-07-15T14:10:44.655Z","updated_at":"2022-07-15T14:10:44.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"646","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T18:36:55.000Z","updated_at":"2023-09-29T11:54:57.415Z","metadata":{"doi":"10.25504/FAIRsharing.7c7cc9","name":"Language resource management -- Feature structures -- Part 1: Feature structure representation","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37324.html","citations":[],"identifier":646,"description":"ISO 24610-1:2006 provides a format for the representation, storage and exchange of feature structures in natural language applications concerned with the annotation, production or analysis of linguistic data. It also defines a computer format for the description of constraints that bear on a set of features, feature values, feature specifications and operations on feature structures, thus offering a means of checking the conformance of each feature structure with regards to a reference specification.","abbreviation":"ISO 24610-1:2006","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37324.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2006},"legacy_ids":["bsg-001240","bsg-s001240"],"name":"FAIRsharing record for: Language resource management -- Feature structures -- Part 1: Feature structure representation","abbreviation":"ISO 24610-1:2006","url":"https://fairsharing.org/10.25504/FAIRsharing.7c7cc9","doi":"10.25504/FAIRsharing.7c7cc9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24610-1:2006 provides a format for the representation, storage and exchange of feature structures in natural language applications concerned with the annotation, production or analysis of linguistic data. It also defines a computer format for the description of constraints that bear on a set of features, feature values, feature specifications and operations on feature structures, thus offering a means of checking the conformance of each feature structure with regards to a reference specification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Computer Science","Linguistics"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":["Structured data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":13,"relation":"undefined"}],"grants":[{"id":10916,"fairsharing_record_id":646,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:07:21.017Z","updated_at":"2023-09-27T14:07:21.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":5988,"fairsharing_record_id":646,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:27:45.360Z","updated_at":"2021-09-30T09:27:45.360Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"647","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.482Z","metadata":{"doi":"10.25504/FAIRsharing.pf2qyq","name":"Ontology for Drug Discovery Investigations","status":"ready","contacts":[{"contact_name":"Larisa Soldatova","contact_email":"soldatova.larisa@gmail.com","contact_orcid":"0000-0001-6489-3029"}],"homepage":"https://code.google.com/p/ddi-ontology/","identifier":647,"description":"The goal of DDI project is to develop an ontology for the description of drug discovery investigations. The Pharmaceutical industry is an information based industry. The aim of DDI is to add value to the information generated in the drug pipeline by making the information easier to reuse, integrate, curate, retrieve, and reason with. DDI aims to follow to the Open Biomedical Ontologies Foundry (OBO) principles, to use relations laid down in the OBO Relation Ontology, and to be compliant with the Ontology for biomedical investigations (OBI).","abbreviation":"DDI","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDI","name":"DDI","portal":"BioPortal"}]},"legacy_ids":["bsg-002694","bsg-s002694"],"name":"FAIRsharing record for: Ontology for Drug Discovery Investigations","abbreviation":"DDI","url":"https://fairsharing.org/10.25504/FAIRsharing.pf2qyq","doi":"10.25504/FAIRsharing.pf2qyq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of DDI project is to develop an ontology for the description of drug discovery investigations. The Pharmaceutical industry is an information based industry. The aim of DDI is to add value to the information generated in the drug pipeline by making the information easier to reuse, integrate, curate, retrieve, and reason with. DDI aims to follow to the Open Biomedical Ontologies Foundry (OBO) principles, to use relations laid down in the OBO Relation Ontology, and to be compliant with the Ontology for biomedical investigations (OBI).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5989,"fairsharing_record_id":647,"organisation_id":579,"relation":"maintains","created_at":"2021-09-30T09:27:45.384Z","updated_at":"2021-09-30T09:27:45.384Z","grant_id":null,"is_lead":false,"saved_state":{"id":579,"name":"Computational Biology Group, Aberystwyth University, Aberystwyth, Wales, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"665","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:32:03.292Z","metadata":{"doi":"10.25504/FAIRsharing.exz30t","name":"Core Information for Metabolomics Reporting","status":"ready","contacts":[{"contact_name":"Reza Salek","contact_email":"r7salek@gmail.com","contact_orcid":"0000-0001-8604-1732"}],"homepage":"https://github.com/MSI-Metabolomics-Standards-Initiative/CIMR/","identifier":665,"description":"This document specifies the minimal guidelines reporting metabolomics work. It does so in a textual form and seeks in the long term to cover all application areas and analysis technologies.","abbreviation":"CIMR","support_links":[{"url":"https://github.com/MSI-Metabolomics-Standards-Initiative/CIMR/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://twitter.com/MetabolomicsSoc","name":"@MetabolomicsSoc","type":"Twitter"}],"year_creation":2003},"legacy_ids":["bsg-000175","bsg-s000175"],"name":"FAIRsharing record for: Core Information for Metabolomics Reporting","abbreviation":"CIMR","url":"https://fairsharing.org/10.25504/FAIRsharing.exz30t","doi":"10.25504/FAIRsharing.exz30t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document specifies the minimal guidelines reporting metabolomics work. It does so in a textual form and seeks in the long term to cover all application areas and analysis technologies.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10912},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11026},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11152},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11575},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11712},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11967}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Metabolomics"],"domains":["Chemical entity","Metabolite","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United Kingdom"],"publications":[{"id":582,"pubmed_id":null,"title":"Minimum reporting standards for plant biology context information in metabolomic studies","year":2007,"url":"http://doi.org/10.1007/s11306-007-0068-0","authors":"Oliver Fiehn, Lloyd W. Sumner, Seung Y. Rhee, Jane Ward, Julie Dickerson, Bernd Markus Lange, Geoff Lane, Ute Roessner, Robert Last, Basil Nikolau","journal":"Metabolomics","doi":"10.1007/s11306-007-0068-0","created_at":"2021-09-30T08:23:23.729Z","updated_at":"2021-09-30T08:23:23.729Z"},{"id":2803,"pubmed_id":null,"title":"Standard reporting requirements for biological samples in metabolomics experiments: environmental context","year":2007,"url":"http://doi.org/10.1007/s11306-007-0067-1","authors":"Norman Morrison, Dan Bearden, Jacob G. Bundy, Tim Collette, Felicity Currie, Matthew P. Davey, Nathan S. Haigh, David Hancock, Oliver A. H. Jones, Simone Rochfort, Susanna-Assunta Sansone, Dalibor Štys, Quincy Teng, Dawn Field, Mark R. Viant","journal":"Metabolomics","doi":"10.1007/s11306-007-0067-1","created_at":"2021-09-30T08:27:44.737Z","updated_at":"2021-09-30T08:27:44.737Z"}],"licence_links":[],"grants":[{"id":6015,"fairsharing_record_id":665,"organisation_id":1822,"relation":"maintains","created_at":"2021-09-30T09:27:46.144Z","updated_at":"2021-09-30T09:27:46.144Z","grant_id":null,"is_lead":false,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6016,"fairsharing_record_id":665,"organisation_id":917,"relation":"maintains","created_at":"2021-09-30T09:27:46.167Z","updated_at":"2021-09-30T09:27:46.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"666","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:33:48.000Z","updated_at":"2021-11-24T13:18:40.098Z","metadata":{"doi":"10.25504/FAIRsharing.wzp79x","name":"Big Chain","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigChain.html","identifier":666,"description":"The bigChain format describes a pairwise alignment that allow gaps in both sequences simultaneously, just as chain files do; however, bigChain files are compressed and indexed as bigBeds. Chain files are converted to bigChain files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigChain.","abbreviation":"bigChain","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"hgLoadChain"},{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"hgLoadChain"}]},"legacy_ids":["bsg-000696","bsg-s000696"],"name":"FAIRsharing record for: Big Chain","abbreviation":"bigChain","url":"https://fairsharing.org/10.25504/FAIRsharing.wzp79x","doi":"10.25504/FAIRsharing.wzp79x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigChain format describes a pairwise alignment that allow gaps in both sequences simultaneously, just as chain files do; however, bigChain files are compressed and indexed as bigBeds. Chain files are converted to bigChain files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigChain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6017,"fairsharing_record_id":666,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:46.193Z","updated_at":"2021-09-30T09:27:46.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"667","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2024-01-24T06:39:53.610Z","metadata":{"doi":"10.25504/FAIRsharing.b2979t","name":"Monarch Disease Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/monarch-initiative/mondo-build","citations":[],"identifier":667,"description":"MonDO (Monarch Disease Ontology) is a semi-automatically constructed ontology that merges in multiple disease resources to yield a coherent merged ontology.","abbreviation":"MONDO","support_links":[{"url":"https://twitter.com/MonarchInit","name":"@MonarchInit","type":"Twitter"},{"url":"https://monarchinitiative.org/","name":"The Monarch Initiative","type":"Other"},{"url":"https://github.com/monarch-initiative/mondo","name":"MONDO on GitHub","type":"Github"},{"url":"https://mondo.readthedocs.io/en/latest/","name":"About MONDO","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/INCATools/ontology-starter-kit","name":"Ontology Starter Kit"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MONDO","name":"MONDO","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/mondo","name":"Mondo Disease Ontology","portal":"OBO Foundry"},{"url":"https://bioregistry.io/registry/mondo","name":"mondo","portal":"Other"},{"url":"http://www.ebi.ac.uk/ols/ontologies/mondo","name":"MONDO","portal":"OLS"}]},"legacy_ids":["bsg-001086","bsg-s001086"],"name":"FAIRsharing record for: Monarch Disease Ontology","abbreviation":"MONDO","url":"https://fairsharing.org/10.25504/FAIRsharing.b2979t","doi":"10.25504/FAIRsharing.b2979t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MonDO (Monarch Disease Ontology) is a semi-automatically constructed ontology that merges in multiple disease resources to yield a coherent merged ontology.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13199},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13234},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13278},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16953}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Infectious Disease Medicine"],"domains":["Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3972,"pubmed_id":null,"title":"Mondo: Unifying diseases for the world, by the world","year":2022,"url":"http://dx.doi.org/10.1101/2022.04.13.22273750","authors":"Vasilevsky, Nicole A; Matentzoglu, Nicolas A; Toro, Sabrina; Flack, Joseph E; Hegde, Harshad; Unni, Deepak R; Alyea, Gioconda F; Amberger, Joanna S; Babb, Larry; Balhoff, James P; Bingaman, Taylor I; Burns, Gully A; Buske, Orion J; Callahan, Tiffany J; Carmody, Leigh C; Cordo, Paula Carrio; Chan, Lauren E; Chang, George S; Christiaens, Sean L; Dumontier, Michel; Failla, Laura E; Flowers, May J; Garrett, H. Alpha; Goldstein, Jennifer L; Gration, Dylan; Groza, Tudor; Hanauer, Marc; Harris, Nomi L; Hilton, Jason A; Himmelstein, Daniel S; Hoyt, Charles Tapley; Kane, Megan S; Köhler, Sebastian; Lagorce, David; Lai, Abbe; Larralde, Martin; Lock, Antonia; López Santiago, Irene; Maglott, Donna R; Malheiro, Adriana J; Meldal, Birgit H M; Munoz-Torres, Monica C; Nelson, Tristan H; Nicholas, Frank W; Ochoa, David; Olson, Daniel P; Oprea, Tudor I; Osumi-Sutherland, David; Parkinson, Helen; Pendlington, Zoë May; Rath, Ana; Rehm, Heidi L; Remennik, Lyubov; Riggs, Erin R; Roncaglia, Paola; Ross, Justyne E; Shadbolt, Marion F; Shefchek, Kent A; Similuk, Morgan N; Sioutos, Nicholas; Smedley, Damian; Sparks, Rachel; Stefancsik, Ray; Stephan, Ralf; Storm, Andrea L; Stupp, Doron; Stupp, Gregory S; Sundaramurthi, Jagadish Chandrabose; Tammen, Imke; Tay, Darin; Thaxton, Courtney L; Valasek, Eloise; Valls-Margarit, Jordi; Wagner, Alex H; Welter, Danielle; Whetzel, Patricia L; Whiteman, Lori L; Wood, Valerie; Xu, Colleen H; Zankl, Andreas; Zhang, Xingmin Aaron; Chute, Christopher G; Robinson, Peter N; Mungall, Christopher J; Hamosh, Ada; Haendel, Melissa A; ","journal":"medRxiv","doi":"10.1101/2022.04.13.22273750","created_at":"2023-08-06T23:13:25.756Z","updated_at":"2023-08-06T23:13:25.756Z"},{"id":3973,"pubmed_id":27899636,"title":"The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species","year":2016,"url":"http://dx.doi.org/10.1093/nar/gkw1128","authors":"Mungall, Christopher J.; McMurry, Julie A.; Köhler, Sebastian; Balhoff, James P.; Borromeo, Charles; Brush, Matthew; Carbon, Seth; Conlin, Tom; Dunn, Nathan; Engelstad, Mark; Foster, Erin; Gourdine, J.P.; Jacobsen, Julius O.B.; Keith, Dan; Laraway, Bryan; Lewis, Suzanna E.; NguyenXuan, Jeremy; Shefchek, Kent; Vasilevsky, Nicole; Yuan, Zhou; Washington, Nicole; Hochheiser, Harry; Groza, Tudor; Smedley, Damian; Robinson, Peter N.; Haendel, Melissa A.; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1128","created_at":"2023-08-06T23:18:18.027Z","updated_at":"2023-08-06T23:18:18.027Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3310,"relation":"applies_to_content"}],"grants":[{"id":10818,"fairsharing_record_id":667,"organisation_id":2804,"relation":"associated_with","created_at":"2023-08-06T23:19:48.743Z","updated_at":"2023-08-06T23:19:48.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGtDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--898bdc43b92d38a40469367c9d28eae876b63f8b/mondo_logo_black-stacked.png?disposition=inline","exhaustive_licences":false}},{"id":"668","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-05-10T11:39:05.220Z","metadata":{"doi":"10.25504/FAIRsharing.p58bm4","name":"Cephalopod Ontology","status":"deprecated","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/cephalopod-ontology","citations":[],"identifier":668,"description":"An anatomical and developmental ontology for cephalopods","abbreviation":"CEPH","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CEPH","name":"CEPH","portal":"BioPortal"},{"url":"http://obofoundry.org/ontology/ceph.html","name":"OBO Foundry page","portal":"OBO Foundry"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology is inactive according to the OBO Foundry definitions of status (http://obofoundry.org/docs/OntologyStatus.html). This means that the ontology project has a contact person who is responsive. A version of the ontology is available, but no edits are being made and requests for edits are either greatly delayed or not being addressed by the ontology’s editors. As such, we have deprecated this record."},"legacy_ids":["bsg-001087","bsg-s001087"],"name":"FAIRsharing record for: Cephalopod Ontology","abbreviation":"CEPH","url":"https://fairsharing.org/10.25504/FAIRsharing.p58bm4","doi":"10.25504/FAIRsharing.p58bm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An anatomical and developmental ontology for cephalopods","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fisheries Science","Anatomy","Zoology"],"domains":["Life cycle"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"639","type":"fairsharing_records","attributes":{"created_at":"2015-07-20T12:20:19.000Z","updated_at":"2021-11-24T13:13:52.621Z","metadata":{"doi":"10.25504/FAIRsharing.neny94","name":"Consolidated Health Economic Evaluation Reporting Standards","status":"ready","contacts":[{"contact_name":"Don Husereau","contact_email":"donh@donhusereau.com"}],"homepage":"http://www.ispor.org/TaskForces/EconomicPubGuidelines.asp","identifier":639,"description":"The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement is an attempt to consolidate and update previous health economic evaluation guidelines efforts into one current, useful reporting guidance. The primary audiences for the CHEERS statement are researchers reporting economic evaluations and the editors and peer reviewers assessing them for publication.","abbreviation":"CHEERS","support_links":[{"url":"https://www.ispor.org/workpaper/CHEERS/revised-CHEERS-Checklist-Oct13.pdf","name":"Checklist","type":"Help documentation"},{"url":"https://www.ispor.org/education/Webinars/CHEERS-062014.aspx","name":"Webinar","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000602","bsg-s000602"],"name":"FAIRsharing record for: Consolidated Health Economic Evaluation Reporting Standards","abbreviation":"CHEERS","url":"https://fairsharing.org/10.25504/FAIRsharing.neny94","doi":"10.25504/FAIRsharing.neny94","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement is an attempt to consolidate and update previous health economic evaluation guidelines efforts into one current, useful reporting guidance. The primary audiences for the CHEERS statement are researchers reporting economic evaluations and the editors and peer reviewers assessing them for publication.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12056}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Argentina","Austria","Canada","New Zealand","United Kingdom","United States"],"publications":[{"id":165,"pubmed_id":23531108,"title":"Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.","year":2013,"url":"http://doi.org/10.1186/1741-7015-11-80","authors":"Husereau D,Drummond M,Petrou S,Carswell C,Moher D,Greenberg D,Augustovski F,Briggs AH,Mauskopf J,Loder E","journal":"BMC Med","doi":"10.1186/1741-7015-11-80","created_at":"2021-09-30T08:22:38.172Z","updated_at":"2021-09-30T08:22:38.172Z"},{"id":208,"pubmed_id":23538200,"title":"Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.","year":2013,"url":"http://doi.org/10.1016/j.jval.2013.02.010","authors":"Husereau D,Drummond M,Petrou S,Carswell C,Moher D,Greenberg D,Augustovski F,Briggs AH,Mauskopf J,Loder E","journal":"Value Health","doi":"10.1016/j.jval.2013.02.010","created_at":"2021-09-30T08:22:42.639Z","updated_at":"2021-09-30T08:22:42.639Z"}],"licence_links":[{"licence_name":"ISPOR Privacy Policy","licence_id":458,"licence_url":"https://www.ispor.org/PrivacyPolicy.aspx","link_id":16,"relation":"undefined"}],"grants":[{"id":5973,"fairsharing_record_id":639,"organisation_id":1520,"relation":"maintains","created_at":"2021-09-30T09:27:44.606Z","updated_at":"2021-09-30T09:27:44.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":1520,"name":"International Society for Pharmacoeconomics and Outcomes Research (ISPOR), Lawrenceville, NJ, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"640","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.690Z","metadata":{"doi":"10.25504/FAIRsharing.pkt5s4","name":"Smoking Behavior Risk Ontology","status":"deprecated","contacts":[{"contact_name":"Paul Thomas","contact_email":"paul.thomas@sri.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/SBRO","identifier":640,"description":"\"Smoking Behavior Risk Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1249. This text was generated automatically. If you work on the project responsible for \"Smoking Behavior Risk Ontology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"SBRO","year_creation":2009,"deprecation_date":"2016-05-06","deprecation_reason":"This resource has been listed as deprecated as it has been removed from BioPortal and no further information on this standard can be found."},"legacy_ids":["bsg-002621","bsg-s002621"],"name":"FAIRsharing record for: Smoking Behavior Risk Ontology","abbreviation":"SBRO","url":"https://fairsharing.org/10.25504/FAIRsharing.pkt5s4","doi":"10.25504/FAIRsharing.pkt5s4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Smoking Behavior Risk Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1249. This text was generated automatically. If you work on the project responsible for \"Smoking Behavior Risk Ontology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Pharmacogenomics","Biomedical Science"],"domains":["Behavior","Phenotype","Exposure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":965,"pubmed_id":19525886,"title":"A systems biology network model for genetic association studies of nicotine addiction and treatment.","year":2009,"url":"http://doi.org/10.1097/FPC.0b013e32832e2ced","authors":"Thomas PD,Mi H,Swan GE,Lerman C,Benowitz N,Tyndale RF,Bergen AW,Conti DV","journal":"Pharmacogenet Genomics","doi":"10.1097/FPC.0b013e32832e2ced","created_at":"2021-09-30T08:24:06.792Z","updated_at":"2021-09-30T08:24:06.792Z"}],"licence_links":[],"grants":[{"id":5974,"fairsharing_record_id":640,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:27:44.644Z","updated_at":"2021-09-30T09:27:44.644Z","grant_id":null,"is_lead":false,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5975,"fairsharing_record_id":640,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:44.677Z","updated_at":"2021-09-30T09:27:44.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"641","type":"fairsharing_records","attributes":{"created_at":"2015-02-25T20:55:18.000Z","updated_at":"2023-10-18T08:48:11.636Z","metadata":{"doi":"10.25504/FAIRsharing.w5ntfd","name":"The Drug Ontology","status":"ready","contacts":[{"contact_name":"William Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":"0000-0002-9881-1017"}],"homepage":"https://github.com/mcwdsi/dron","citations":[],"identifier":641,"description":"An ontology of drug products and packaged drug products.","abbreviation":"DrOn","support_links":[{"url":"https://github.com/mcwdsi/dron/issues","name":"Issue tracker","type":"Contact form"}],"year_creation":2013,"associated_tools":[{"url":"https://github.com/mcwdsi/dron-query","name":"DrOn Query"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DRON","name":"DRON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/dron.html","name":"dron","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000584","bsg-s000584"],"name":"FAIRsharing record for: The Drug Ontology","abbreviation":"DrOn","url":"https://fairsharing.org/10.25504/FAIRsharing.w5ntfd","doi":"10.25504/FAIRsharing.w5ntfd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of drug products and packaged drug products.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12040}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Small molecule","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":983,"pubmed_id":27096073,"title":"An accurate and precise representation of drug ingredients","year":2016,"url":"http://doi.org/10.1186/s13326-016-0048-2","authors":"Hanna J, Bian J, Hogan WR","journal":"Journal of Biomedical Semantics","doi":"10.1186/s13326-016-0048-2","created_at":"2021-09-30T08:24:08.755Z","updated_at":"2021-09-30T08:24:08.755Z"},{"id":998,"pubmed_id":28253937,"title":"Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request","year":2017,"url":"http://doi.org/10.1186/s13326-017-0121-5","authors":"Hogan WR, Hanna J, Hicks A, Amirova S, Bramblett B, Diller M, Enderez R, Modzelewski T, Vasconcelos M, Delcher C","journal":"Journal of Biomedical Semantics","doi":"10.1186/s13326-017-0121-5","created_at":"2021-09-30T08:24:10.463Z","updated_at":"2021-09-30T08:24:10.463Z"},{"id":1394,"pubmed_id":24345026,"title":"Building a drug ontology based on RxNorm and other sources.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-44","authors":"Hanna J,Joseph E,Brochhausen M,Hogan WR","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-44","created_at":"2021-09-30T08:24:55.860Z","updated_at":"2021-09-30T08:24:55.860Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3366,"relation":"applies_to_content"}],"grants":[{"id":5976,"fairsharing_record_id":641,"organisation_id":3054,"relation":"funds","created_at":"2021-09-30T09:27:44.714Z","updated_at":"2021-09-30T09:31:27.730Z","grant_id":1179,"is_lead":false,"saved_state":{"id":3054,"name":"Genetics Institute, University of Florida","grant":"UL1TR00142","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11008,"fairsharing_record_id":641,"organisation_id":1810,"relation":"maintains","created_at":"2023-10-16T14:59:41.200Z","updated_at":"2023-10-16T14:59:41.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11009,"fairsharing_record_id":641,"organisation_id":3055,"relation":"collaborates_on","created_at":"2023-10-16T14:59:41.209Z","updated_at":"2023-10-16T14:59:41.209Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"648","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:13:18.539Z","metadata":{"doi":"10.25504/FAIRsharing.ds6s93","name":"Performed Music Ontology","status":"ready","contacts":[{"contact_name":"Nancy Lorimer","contact_email":"nlorimer@stanford.edu"}],"homepage":"https://github.com/LD4P/PerformedMusicOntology","identifier":648,"description":"An extension to the Library of Congress BIBFRAME ontology for performed music, with a particular emphasis on clarifying and expanding on the modelling of works, events, and their contributors. It describes performed music, both for mainstream and archival performed music collections.","abbreviation":"PMO","support_links":[{"url":"https://wiki.duraspace.org/display/LD4P/Performed+Music+Ontology","name":"PMO Documentation on Duraspace","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PMO","name":"PMO","portal":"BioPortal"}]},"legacy_ids":["bsg-000950","bsg-s000950"],"name":"FAIRsharing record for: Performed Music Ontology","abbreviation":"PMO","url":"https://fairsharing.org/10.25504/FAIRsharing.ds6s93","doi":"10.25504/FAIRsharing.ds6s93","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An extension to the Library of Congress BIBFRAME ontology for performed music, with a particular emphasis on clarifying and expanding on the modelling of works, events, and their contributors. It describes performed music, both for mainstream and archival performed music collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Musicology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5990,"fairsharing_record_id":648,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:45.409Z","updated_at":"2021-09-30T09:27:45.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"651","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-30T07:55:13.577Z","metadata":{"doi":"10.25504/FAIRsharing.b9znd5","name":"Informed Consent Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/ICO-ontology/ICO","citations":[],"identifier":651,"description":"Informed Consent Ontology (ICO) represents the documentations and processes involved in informed consent. ICO aims to support informed consent data integration and reasoning in the clinical research space. The core terms of ICO covers informed consent forms, the component inside the informed consent form, and various informed consent processes.","abbreviation":"ICO","support_links":[{"url":"https://groups.google.com/forum/#!forum/ico-discuss","name":"ICO Forum","type":"Forum"},{"url":"https://github.com/ICO-ontology/ICO/issues","name":"ICO Issue Tracker","type":"Github"},{"url":"http://ceur-ws.org/Vol-1327/icbo2014_paper_54.pdf","name":"ICO Conference Paper","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICO","name":"ICO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ico.html","name":"ico","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002837","bsg-s002837"],"name":"FAIRsharing record for: Informed Consent Ontology","abbreviation":"ICO","url":"https://fairsharing.org/10.25504/FAIRsharing.b9znd5","doi":"10.25504/FAIRsharing.b9znd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Informed Consent Ontology (ICO) represents the documentations and processes involved in informed consent. ICO aims to support informed consent data integration and reasoning in the clinical research space. The core terms of ICO covers informed consent forms, the component inside the informed consent form, and various informed consent processes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2290,"pubmed_id":null,"title":"Development of a BFO-based Informed Consent Ontology (ICO)","year":2013,"url":"https://www.researchgate.net/publication/289387776_Development_of_a_BFO-based_informed_consent_ontology_ICO","authors":"Lin Y, Harris MR, Manion FJ, Eisenhauer E, Zhao B, Shi W, Karnovsky A, He Y","journal":"In: The 5th International Conference on Biomedical Ontologies (ICBO): 2014; Houston, Texas, USA, October 8-9, 2014. CEUR Workshop Proceedings, Page 84-86","doi":null,"created_at":"2021-09-30T08:26:39.310Z","updated_at":"2021-09-30T11:28:34.730Z"}],"licence_links":[],"grants":[{"id":5992,"fairsharing_record_id":651,"organisation_id":1806,"relation":"funds","created_at":"2021-09-30T09:27:45.469Z","updated_at":"2021-09-30T09:27:45.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":1806,"name":"MCubed, University of Michigan, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":5993,"fairsharing_record_id":651,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:45.507Z","updated_at":"2021-09-30T09:27:45.507Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5991,"fairsharing_record_id":651,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:45.437Z","updated_at":"2021-09-30T09:29:57.221Z","grant_id":484,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"2UL1TR000433-06","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"652","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:12:26.000Z","updated_at":"2022-07-20T12:48:28.347Z","metadata":{"doi":"10.25504/FAIRsharing.35e1c3","name":"Oat Trait Ontology","status":"ready","contacts":[{"contact_name":"Jean-Luc Jannink","contact_email":"jeanluc.work@gmail.com","contact_orcid":"0000-0003-4849-628X"},{"contact_name":"CO General Contact","contact_email":"helpdesk@cropontology-curationtool.org","contact_orcid":null}],"homepage":"https://cropontology.org/term/CO_350:ROOT","citations":[],"identifier":652,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Oat Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. The Oat Trait Dictionary was commissioned by Oat Global (http://oatglobal.org/) to hold the traits used in the T3/Oat database (http://triticeaetoolbox.org/oat/).","abbreviation":"CO_350","support_links":[{"url":"crs298@cornell.edu","name":"Clare Saied","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001131","bsg-s001131"],"name":"FAIRsharing record for: Oat Trait Ontology","abbreviation":"CO_350","url":"https://fairsharing.org/10.25504/FAIRsharing.35e1c3","doi":"10.25504/FAIRsharing.35e1c3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Oat Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. The Oat Trait Dictionary was commissioned by Oat Global (http://oatglobal.org/) to hold the traits used in the T3/Oat database (http://triticeaetoolbox.org/oat/).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Avena sativa"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1058,"relation":"undefined"}],"grants":[{"id":5994,"fairsharing_record_id":652,"organisation_id":2205,"relation":"funds","created_at":"2021-09-30T09:27:45.549Z","updated_at":"2021-09-30T09:27:45.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":2205,"name":"Oat Global, St Paul, MN, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"766","type":"fairsharing_records","attributes":{"created_at":"2019-04-08T13:41:26.000Z","updated_at":"2023-05-05T07:47:50.854Z","metadata":{"doi":"10.25504/FAIRsharing.FGJ2T8","name":"Gene Ontology (GO) Gene Association File Format 2.1","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium Helpdesk","contact_email":"help@geneontology.org","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://geneontology.org/docs/go-annotation-file-gaf-format-2.1/","citations":[],"identifier":766,"description":"Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.1 (GAF 2.1). The annotation flat file format is comprised of 17 tab-delimited fields. This format is preferred over the GAF 2.0 format.","abbreviation":"GAF 2.1","support_links":[{"url":"https://github.com/geneontology/helpdesk/issues","name":"GO GitHub Issue Tracker","type":"Github"},{"url":"help@geneontology.org","name":"GO Helpdesk","type":"Support email"},{"url":"http://geneontology.org/docs/go-annotations/","name":"Introduction to GO annotations","type":"Help documentation"}],"year_creation":2015,"associated_tools":[{"url":"http://noctua.berkeleybop.org/","name":"NOCTUA Curation Platform"},{"url":"http://geneontology.org/go-cam","name":"GO Causal Activity Models (CAMs) viewer"}]},"legacy_ids":["bsg-001362","bsg-s001362"],"name":"FAIRsharing record for: Gene Ontology (GO) Gene Association File Format 2.1","abbreviation":"GAF 2.1","url":"https://fairsharing.org/10.25504/FAIRsharing.FGJ2T8","doi":"10.25504/FAIRsharing.FGJ2T8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.1 (GAF 2.1). The annotation flat file format is comprised of 17 tab-delimited fields. This format is preferred over the GAF 2.0 format.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12541}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Animal Genetics","Genetics","Human Genetics","Life Science","Molecular Genetics","Plant Genetics"],"domains":["Expression data","Gene Ontology enrichment","Gene functional annotation","Function analysis","Molecular function","Cellular component","Gene expression","Animal organ development","Functional association","Gene feature","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":306,"relation":"undefined"}],"grants":[{"id":6163,"fairsharing_record_id":766,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:27:50.803Z","updated_at":"2021-09-30T09:27:50.803Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"767","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-12-27T17:17:04.864Z","metadata":{"doi":"10.25504/FAIRsharing.tcbwad","name":"HIV ontology","status":"ready","contacts":[{"contact_name":"Martin Schiller","contact_email":"martin.schiller@unlv.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/HIV","citations":[],"identifier":767,"description":"The HIV ontology encompasses all knowledge about HIV","abbreviation":"HIV","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HIV","name":"HIV","portal":"BioPortal"}]},"legacy_ids":["bsg-000789","bsg-s000789"],"name":"FAIRsharing record for: HIV ontology","abbreviation":"HIV","url":"https://fairsharing.org/10.25504/FAIRsharing.tcbwad","doi":"10.25504/FAIRsharing.tcbwad","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HIV ontology encompasses all knowledge about HIV","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Proteomics","Medical Virology","Epidemiology"],"domains":["Protein interaction","Mutation"],"taxonomies":["Human immunodeficiency virus"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"768","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-01-02T17:29:48.661Z","metadata":{"doi":"10.25504/FAIRsharing.xfje21","name":"Metagenome Sample Vocabulary","status":"deprecated","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"http://mdb.bio.titech.ac.jp/msv","citations":[],"identifier":768,"description":"An ontology for metagenome sample metadata. This ontology mainly defines predicates.","abbreviation":"MSV","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSV","name":"MSV","portal":"BioPortal"}],"deprecation_date":"2023-01-02","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000892","bsg-s000892"],"name":"FAIRsharing record for: Metagenome Sample Vocabulary","abbreviation":"MSV","url":"https://fairsharing.org/10.25504/FAIRsharing.xfje21","doi":"10.25504/FAIRsharing.xfje21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for metagenome sample metadata. This ontology mainly defines predicates.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Metagenomics"],"domains":["Metagenome"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"769","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-03-24T14:37:06.213Z","metadata":{"doi":"10.25504/FAIRsharing.mb5dc","name":"Halocynthia aurantium Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":769,"description":"The first ontology describing the anatomy and the development of Halocynthia aurantium.","abbreviation":"HAAURAADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HAAURAADO","name":"HAAURAADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000894","bsg-s000894"],"name":"FAIRsharing record for: Halocynthia aurantium Anatomy and Development Ontology","abbreviation":"HAAURAADO","url":"https://fairsharing.org/10.25504/FAIRsharing.mb5dc","doi":"10.25504/FAIRsharing.mb5dc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Halocynthia aurantium.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Halocynthia aurantium"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10458,"fairsharing_record_id":769,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T14:36:08.141Z","updated_at":"2023-03-24T14:36:08.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"770","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:37:10.000Z","updated_at":"2022-12-14T08:21:35.275Z","metadata":{"doi":"10.25504/FAIRsharing.KTpITA","name":"Simple Cone Search","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/ConeSearch.html","citations":[{"publication_id":2935}],"identifier":770,"description":"The Simple Cone Search specification defines a simple query protocol for retrieving records from a catalog of astronomical sources. The query describes sky position and an angular distance, defining a cone on the sky. The response returns a list of astronomical sources from the catalog whose positions lie within the cone, formatted as a VOTable. This version of the specification is essentially a transcription of the original Cone Search specification in order to move it into the IVOA standardization process.","abbreviation":null,"support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/ConeSearch","name":"Simple Cone Search Wiki","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SCS-1_03-Errata","name":"Simple Cone Search Specification - Errata","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001153","bsg-s001153"],"name":"FAIRsharing record for: Simple Cone Search","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.KTpITA","doi":"10.25504/FAIRsharing.KTpITA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Cone Search specification defines a simple query protocol for retrieving records from a catalog of astronomical sources. The query describes sky position and an angular distance, defining a cone on the sky. The response returns a list of astronomical sources from the catalog whose positions lie within the cone, formatted as a VOTable. This version of the specification is essentially a transcription of the original Cone Search specification in order to move it into the IVOA standardization process.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11459}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2935,"pubmed_id":null,"title":"Simple Cone Search Version 1.03","year":2008,"url":"http://dx.doi.org/10.5479/ADS/bib/2008ivoa.specQ0222P","authors":"Plante, Raymond; Williams, Roy; Hanisch, Robert; Szalay, Alex","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.758Z","updated_at":"2021-09-30T08:28:01.758Z"}],"licence_links":[],"grants":[{"id":6164,"fairsharing_record_id":770,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:50.844Z","updated_at":"2021-09-30T09:27:50.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6165,"fairsharing_record_id":770,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:27:50.931Z","updated_at":"2021-09-30T09:27:50.931Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"771","type":"fairsharing_records","attributes":{"created_at":"2020-11-15T15:18:26.000Z","updated_at":"2022-07-20T09:31:56.969Z","metadata":{"doi":"10.25504/FAIRsharing.3bbe9d","name":"Open Geospatial Consortium Sensor Model Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/sensorml","identifier":771,"description":"The Sensor Model Language (SensorML) aims to provide a robust and semantically-tied means of defining processes and processing components associated with the measurement and post-measurement transformation of observations. This includes sensors and actuators as well as computational processes applied pre- and post- measurement. The main objective is to enable interoperability, first at the syntactic level and later at the semantic level (by using ontologies and semantic mediation), so that sensors and processes can be better understood by machines, utilized automatically in complex workflows, and easily shared between intelligent sensor web nodes. This standard is one of several implementation standards produced under OGC’s Sensor Web Enablement (SWE) activity.","abbreviation":"OGC SensorML","support_links":[{"url":"http://ogc.standardstracker.org/","name":"Issue / Change Tracker","type":"Forum"},{"url":"http://docs.ogc.org/is/12-000r2/12-000r2.html","name":"SensorML Specification Document","type":"Help documentation"},{"url":"https://twitter.com/opengeospatial","name":"@opengeospatial","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/SensorML","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2010},"legacy_ids":["bsg-001540","bsg-s001540"],"name":"FAIRsharing record for: Open Geospatial Consortium Sensor Model Language","abbreviation":"OGC SensorML","url":"https://fairsharing.org/10.25504/FAIRsharing.3bbe9d","doi":"10.25504/FAIRsharing.3bbe9d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sensor Model Language (SensorML) aims to provide a robust and semantically-tied means of defining processes and processing components associated with the measurement and post-measurement transformation of observations. This includes sensors and actuators as well as computational processes applied pre- and post- measurement. The main objective is to enable interoperability, first at the syntactic level and later at the semantic level (by using ontologies and semantic mediation), so that sensors and processes can be better understood by machines, utilized automatically in complex workflows, and easily shared between intelligent sensor web nodes. This standard is one of several implementation standards produced under OGC’s Sensor Web Enablement (SWE) activity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geography","Earth Science","Remote Sensing"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data","Sensor data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2179,"relation":"undefined"}],"grants":[{"id":6166,"fairsharing_record_id":771,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:50.973Z","updated_at":"2021-09-30T09:27:50.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"811","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:28:35.976Z","metadata":{"doi":"10.25504/FAIRsharing.a0yy2x","name":"Integrating Network Objects with Hierarchies Event Ontology","status":"deprecated","contacts":[{"contact_name":"IMS","contact_email":"www-admin@ims.u-tokyo.ac.jp"}],"homepage":"http://www.obofoundry.org/ontology/iev.html","citations":[],"identifier":811,"description":"INOH Event Ontology (IEV) is a structured controlled vocabulary of pathway centric biological processes used to annotate biological processes, pathways, sub-pathways in the INOH pathway data. .","abbreviation":"IEV","year_creation":2005,"cross_references":[{"url":"http://www.obofoundry.org/ontology/iev.html","name":"iev","portal":"OBO Foundry"}],"deprecation_date":"2015-04-10","deprecation_reason":"This resource has been deprecated. Deprecation confirmed via the OBO Foundry."},"legacy_ids":["bsg-000043","bsg-s000043"],"name":"FAIRsharing record for: Integrating Network Objects with Hierarchies Event Ontology","abbreviation":"IEV","url":"https://fairsharing.org/10.25504/FAIRsharing.a0yy2x","doi":"10.25504/FAIRsharing.a0yy2x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: INOH Event Ontology (IEV) is a structured controlled vocabulary of pathway centric biological processes used to annotate biological processes, pathways, sub-pathways in the INOH pathway data. .","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Mathematical model","Enzymatic reaction","Pathway model"],"taxonomies":["Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":981,"pubmed_id":18629146,"title":"The molecule role ontology: an ontology for annotation of signal transduction pathway molecules in the scientific literature.","year":2008,"url":"http://doi.org/10.1002/cfg.432","authors":"Yamamoto S,Asanuma T,Takagi T,Fukuda KI","journal":"Comp Funct Genomics","doi":"10.1002/cfg.432","created_at":"2021-09-30T08:24:08.547Z","updated_at":"2021-09-30T08:24:08.547Z"},{"id":1284,"pubmed_id":22120663,"title":"INOH: ontology-based highly structured database of signal transduction pathways.","year":2011,"url":"http://doi.org/10.1093/database/bar052","authors":"Yamamoto S,Sakai N,Nakamura H,Fukagawa H,Fukuda K,Takagi T","journal":"Database (Oxford)","doi":"10.1093/database/bar052","created_at":"2021-09-30T08:24:43.325Z","updated_at":"2021-09-30T08:24:43.325Z"},{"id":1725,"pubmed_id":17094236,"title":"Event ontology: a pathway-centric ontology for biological processes.","year":2006,"url":"https://www.ncbi.nlm.nih.gov/pubmed/17094236","authors":"Kushida T,Takagi T,Fukuda KI","journal":"Pac Symp Biocomput","doi":null,"created_at":"2021-09-30T08:25:33.280Z","updated_at":"2021-09-30T08:25:33.280Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.1 Japan (CC BY 2.1 JP)","licence_id":159,"licence_url":"https://creativecommons.org/licenses/by/2.1/jp/","link_id":1560,"relation":"undefined"}],"grants":[{"id":6200,"fairsharing_record_id":811,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:27:52.291Z","updated_at":"2021-09-30T09:27:52.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"812","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2022-12-16T10:48:14.478Z","metadata":{"doi":"10.25504/FAIRsharing.6bxcr4","name":"Systematized Nomenclature of Medicine, International Version","status":"ready","contacts":[{"contact_name":"IHTSDO","contact_email":"jgk@ihtsdo.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/SNMI","citations":[],"identifier":812,"description":"Cote, Roger A., editor. Systematized Nomenclature of Human and Veterinary Medicine: SNOMED International. Northfield (IL): College of American Pathologists; Schaumburg (IL): American Veterinary Medical Association, Version 3.5, 1998.","abbreviation":"SNMI","support_links":[{"url":"https://github.com/IHTSDO","name":"SNOMED International GitHub","type":"Github"},{"url":"tooling@snomed.org","name":"Tooling Support","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SNMI","name":"SNMI","portal":"BioPortal"}]},"legacy_ids":["bsg-001084","bsg-s001084"],"name":"FAIRsharing record for: Systematized Nomenclature of Medicine, International Version","abbreviation":"SNMI","url":"https://fairsharing.org/10.25504/FAIRsharing.6bxcr4","doi":"10.25504/FAIRsharing.6bxcr4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cote, Roger A., editor. Systematized Nomenclature of Human and Veterinary Medicine: SNOMED International. Northfield (IL): College of American Pathologists; Schaumburg (IL): American Veterinary Medical Association, Version 3.5, 1998.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Occupational Medicine","Pharmacology","Veterinary Medicine","Biomedical Science","Translational Medicine"],"domains":["Drug interaction","Disease","Morphology"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","United Kingdom","Worldwide"],"publications":[{"id":3738,"pubmed_id":null,"title":"SNOMED International (systematized Nomenclature of Human and Veterinary Medicine). 3rd Ed.","year":1994,"url":"https://aasldpubs.onlinelibrary.wiley.com/doi/10.1002/hep.1840190535","authors":"J. Ludwig; Edited by: R.A. Cote, D.J. Rothwell, J.L. Palotay, R.S. Beckett","journal":"Hepatology : official journal of the American Association for the Study of Liver Diseases (Web)","doi":"10.1002/hep.1840190535","created_at":"2022-12-14T02:29:35.707Z","updated_at":"2022-12-14T02:29:35.707Z"}],"licence_links":[],"grants":[{"id":10231,"fairsharing_record_id":812,"organisation_id":3833,"relation":"associated_with","created_at":"2022-12-14T02:15:50.118Z","updated_at":"2022-12-14T02:15:50.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":3833,"name":"International Health Terminology Standards Development Organisation (IHTSDO)","types":["Charitable foundation"],"is_lead":false,"relation":"associated_with"}},{"id":10232,"fairsharing_record_id":812,"organisation_id":3834,"relation":"maintains","created_at":"2022-12-14T02:15:50.254Z","updated_at":"2022-12-14T02:18:57.845Z","grant_id":null,"is_lead":true,"saved_state":{"id":3834,"name":"SNOMED International","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"813","type":"fairsharing_records","attributes":{"created_at":"2019-04-23T17:40:59.000Z","updated_at":"2024-03-21T13:59:01.510Z","metadata":{"doi":"10.25504/FAIRsharing.RvBRMp","name":"Pairs file format","status":"ready","contacts":[{"contact_name":"4DN Helpdesk","contact_email":"support@4dnucleome.org"}],"homepage":"https://github.com/4dn-dcic/pairix/blob/master/pairs_format_specification.md","identifier":813,"description":"A standard text format for pairs of genomic loci given as 1bp point positions, applicable to chromosome conformation experiments. Pairs files are produced as intermediate files in most Hi-C analysis pipelines and can be indexed and queried by the Pairix software.","abbreviation":".pairs","support_links":[{"url":"https://github.com/4dn-dcic/pairix/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/4dn-dcic/pairix/tree/a5e44544c758f87d5ee40f424db611410281cfdd","name":"Pairix 0.3.7"},{"url":"https://pypi.org/project/pypairix/0.3.7/","name":"Pypairix 0.3.7"},{"url":"https://github.com/4dn-dcic/Rpairix/tree/0.3.7","name":"Rpairix 0.3.7"}]},"legacy_ids":["bsg-001364","bsg-s001364"],"name":"FAIRsharing record for: Pairs file format","abbreviation":".pairs","url":"https://fairsharing.org/10.25504/FAIRsharing.RvBRMp","doi":"10.25504/FAIRsharing.RvBRMp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A standard text format for pairs of genomic loci given as 1bp point positions, applicable to chromosome conformation experiments. Pairs files are produced as intermediate files in most Hi-C analysis pipelines and can be indexed and queried by the Pairix software.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12542}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Chromosome"],"taxonomies":["All"],"user_defined_tags":["Chromosome Conformation","Genomic Contacts","Hi-C"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1464,"relation":"undefined"}],"grants":[{"id":6203,"fairsharing_record_id":813,"organisation_id":9,"relation":"maintains","created_at":"2021-09-30T09:27:52.384Z","updated_at":"2021-09-30T09:27:52.384Z","grant_id":null,"is_lead":true,"saved_state":{"id":9,"name":"4DN Data Coordination and Integration Center","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11570,"fairsharing_record_id":813,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:01.142Z","updated_at":"2024-03-21T13:59:01.426Z","grant_id":862,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"1U01CA200059-01","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"814","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2021-11-24T13:14:23.499Z","metadata":{"doi":"10.25504/FAIRsharing.rfec93","name":"Ontology for Nutritional Studies","status":"in_development","contacts":[{"contact_name":"Francesco Vitali","contact_email":"francesco.vitali.bio@gmail.com"}],"homepage":"https://github.com/enpadasi/Ontology-for-Nutritional-Studies","identifier":814,"description":"Ontology For Nutritional Studies (ONS) has been developed as part of the ENPADASI European project (http://www.enpadasi.eu/) with the aim to define a common language and building ontologies for nutritional studies. It is the first systematic effort to provide a formal ontology framework for the description of nutritional studies.","abbreviation":"ONS","support_links":[{"url":"https://github.com/enpadasi/Ontology-for-Nutritional-Studies/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONS","name":"ONS","portal":"BioPortal"}]},"legacy_ids":["bsg-001068","bsg-s001068"],"name":"FAIRsharing record for: Ontology for Nutritional Studies","abbreviation":"ONS","url":"https://fairsharing.org/10.25504/FAIRsharing.rfec93","doi":"10.25504/FAIRsharing.rfec93","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology For Nutritional Studies (ONS) has been developed as part of the ENPADASI European project (http://www.enpadasi.eu/) with the aim to define a common language and building ontologies for nutritional studies. It is the first systematic effort to provide a formal ontology framework for the description of nutritional studies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17362},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14551}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Nutritional Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":423,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"815","type":"fairsharing_records","attributes":{"created_at":"2018-01-30T21:18:28.000Z","updated_at":"2022-09-26T13:16:53.529Z","metadata":{"doi":"10.25504/FAIRsharing.f3jewy","name":"smartAPI specification","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com"}],"homepage":"http://smart-api.info","citations":[],"identifier":815,"description":"The smartAPI project aims to maximize the FAIRness (Findability, Accessibility, Interoperability, and Reusability) of web-based Application Programming Interfaces (APIs). Rich metadata is essential to properly describe your API so that it becomes discoverable, connected, and reusable. We have developed a openAPI-based specification for defining the key API metadata elements and value sets. smartAPIs leverage the Open API specification v3 and JSON-LD for providing semantically annotated JSON content that can be treated as Linked Data.","abbreviation":"smartAPI","year_creation":2017},"legacy_ids":["bsg-001126","bsg-s001126"],"name":"FAIRsharing record for: smartAPI specification","abbreviation":"smartAPI","url":"https://fairsharing.org/10.25504/FAIRsharing.f3jewy","doi":"10.25504/FAIRsharing.f3jewy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The smartAPI project aims to maximize the FAIRness (Findability, Accessibility, Interoperability, and Reusability) of web-based Application Programming Interfaces (APIs). Rich metadata is essential to properly describe your API so that it becomes discoverable, connected, and reusable. We have developed a openAPI-based specification for defining the key API metadata elements and value sets. smartAPIs leverage the Open API specification v3 and JSON-LD for providing semantically annotated JSON content that can be treated as Linked Data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Resource metadata","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands","United States"],"publications":[{"id":1931,"pubmed_id":null,"title":"Towards a More Intelligent Network of Web APIs.","year":2017,"url":"http://doi.org/10.1007/978-3-319-58451-5_11","authors":"Amrapali Zaveri, Shima Dastgheib, Chunlei Wu, Trish Whetzel, Ruben Verborgh, Paul Avillach, Gabor Korodi, Raymond Terryn, Kathleen Jagodnik, Pedro Assis, Michel Dumontier","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-319-58451-5_11","created_at":"2021-09-30T08:25:57.365Z","updated_at":"2021-09-30T08:25:57.365Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":177,"relation":"undefined"}],"grants":[{"id":6204,"fairsharing_record_id":815,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:52.414Z","updated_at":"2021-09-30T09:31:12.167Z","grant_id":1061,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54HG008033","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8888,"fairsharing_record_id":815,"organisation_id":2943,"relation":"funds","created_at":"2022-02-18T22:41:14.348Z","updated_at":"2022-02-18T22:41:14.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"816","type":"fairsharing_records","attributes":{"created_at":"2019-06-13T09:39:41.000Z","updated_at":"2024-01-28T15:58:04.462Z","metadata":{"doi":"10.25504/FAIRsharing.c26a4e","name":"European Registry of Materials Identifier","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@maastrichtuniversity.nl","contact_orcid":"0000-0001-7542-0286"}],"homepage":"https://nanocommons.github.io/identifiers/","citations":[{"doi":"10.1186/s13321-022-00614-7","pubmed_id":null,"publication_id":3566}],"identifier":816,"description":"Identifier project to uniquely identify nanomaterials, allowing them to identify materials in experimental designs, data, reports, project deliverables, and scholarly publications.","abbreviation":"ERM Identifier","year_creation":2019,"cross_references":[{"url":"https://registry.identifiers.org/registry/erm","name":"identifiers.org","portal":"Other"},{"url":"https://bioregistry.io/registry/erm","name":"Bioregistry","portal":"Other"}],"regular_expression":"^ERM[0-9]{8}$"},"legacy_ids":["bsg-001384","bsg-s001384"],"name":"FAIRsharing record for: European Registry of Materials Identifier","abbreviation":"ERM Identifier","url":"https://fairsharing.org/10.25504/FAIRsharing.c26a4e","doi":"10.25504/FAIRsharing.c26a4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Identifier project to uniquely identify nanomaterials, allowing them to identify materials in experimental designs, data, reports, project deliverables, and scholarly publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Nanotechnology","Materials Informatics"],"domains":["Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Bulgaria","Netherlands","Norway","Sweden","United Kingdom"],"publications":[{"id":3566,"pubmed_id":null,"title":"European Registry of Materials: global, unique identifiers for (undisclosed) nanomaterials","year":2022,"url":"http://dx.doi.org/10.1186/s13321-022-00614-7","authors":"van Rijn, Jeaphianne; Afantitis, Antreas; Culha, Mustafa; Dusinska, Maria; Exner, Thomas E.; Jeliazkova, Nina; Longhin, Eleonora Marta; Lynch, Iseult; Melagraki, Georgia; Nymark, Penny; Papadiamantis, Anastasios G.; Winkler, David A.; Yilmaz, Hulya; Willighagen, Egon; ","journal":"J Cheminform","doi":"10.1186/s13321-022-00614-7","created_at":"2022-08-26T08:06:02.647Z","updated_at":"2022-08-26T08:06:02.647Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1179,"relation":"undefined"}],"grants":[{"id":6206,"fairsharing_record_id":816,"organisation_id":1929,"relation":"maintains","created_at":"2021-09-30T09:27:52.498Z","updated_at":"2021-09-30T09:27:52.498Z","grant_id":null,"is_lead":true,"saved_state":{"id":1929,"name":"Nanocommons","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6207,"fairsharing_record_id":816,"organisation_id":1739,"relation":"maintains","created_at":"2021-09-30T09:27:52.540Z","updated_at":"2021-09-30T09:27:52.540Z","grant_id":null,"is_lead":false,"saved_state":{"id":1739,"name":"Maastricht University (UM), Maastricht, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6205,"fairsharing_record_id":816,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:52.449Z","updated_at":"2021-09-30T09:29:19.737Z","grant_id":197,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"731032","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"822","type":"fairsharing_records","attributes":{"created_at":"2020-07-08T13:23:52.000Z","updated_at":"2024-01-27T14:38:42.602Z","metadata":{"doi":"10.25504/FAIRsharing.29924b","name":"ISO 27729:2012 Information and documentation — International standard name identifier","status":"ready","contacts":[{"contact_name":"Todd Carpenter","contact_email":"tcarpenter@niso.org"}],"homepage":"https://www.iso.org/standard/44292.html","citations":[],"identifier":822,"description":"ISO 27729:2012 specifies the International Standard Name Identifier (ISNI) for the identification of public identities of parties, i.e. the identities used publicly by parties involved throughout the media content industries in the creation, production, management and content distribution chains. ISNIs uniquely identify public identities across multiple fields of creative activity and provides a tool for disambiguating public identities that might otherwise be confused. An ISNI is made up of 16 digits, the last character being a check character. The check character may be either a decimal digit or the character “X”.","abbreviation":"ISO 27729:2012 ISNI","support_links":[{"url":"https://isni.org/page/faqs/","name":"ISNI FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://isni.org","name":"ISNI Website","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/International_Standard_Name_Identifier","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012,"cross_references":[{"url":"https://registry.identifiers.org/registry/isni","name":"Identifiers.org","portal":"Other"},{"url":"https://bioregistry.io/registry/isni","name":"Bioregistry","portal":"Other"}],"regular_expression":"^[0-9]{15}[0-9X]{1}$"},"legacy_ids":["bsg-001510","bsg-s001510"],"name":"FAIRsharing record for: ISO 27729:2012 Information and documentation — International standard name identifier","abbreviation":"ISO 27729:2012 ISNI","url":"https://fairsharing.org/10.25504/FAIRsharing.29924b","doi":"10.25504/FAIRsharing.29924b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 27729:2012 specifies the International Standard Name Identifier (ISNI) for the identification of public identities of parties, i.e. the identities used publicly by parties involved throughout the media content industries in the creation, production, management and content distribution chains. ISNIs uniquely identify public identities across multiple fields of creative activity and provides a tool for disambiguating public identities that might otherwise be confused. An ISNI is made up of 16 digits, the last character being a check character. The check character may be either a decimal digit or the character “X”.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17382}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Informatics"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2008,"relation":"undefined"}],"grants":[{"id":6219,"fairsharing_record_id":822,"organisation_id":1531,"relation":"maintains","created_at":"2021-09-30T09:27:53.067Z","updated_at":"2021-09-30T09:27:53.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":1531,"name":"International Standards Organisation (ISO) ISO/TC 46/SC 9: Identification and description","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10928,"fairsharing_record_id":822,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:20:26.634Z","updated_at":"2023-09-27T14:20:26.634Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"823","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-10-18T08:55:17.053Z","metadata":{"doi":"10.25504/FAIRsharing.27rndz","name":"Geographical Entity Ontology","status":"ready","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"MBrochhausen@uams.edu"},{"contact_name":"Bill Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":null}],"homepage":"https://github.com/mcwdsi/geographical-entity-ontology","citations":[],"identifier":823,"description":"The Geographical Entity Ontology (GEO) is an ontology of geographical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction).","abbreviation":"GEO","support_links":[{"url":"https://github.com/mcwdsi/geographical-entity-ontology/issues","name":"Issue tracker","type":"Contact form"},{"url":"https://github.com/mcwdsi/geographical-entity-ontology/wiki","name":"Wiki home page","type":"Help documentation"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GEO","name":"GEO","portal":"BioPortal"},{"url":"http://obofoundry.org/ontology/geo.html","name":"geo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001012","bsg-s001012"],"name":"FAIRsharing record for: Geographical Entity Ontology","abbreviation":"GEO","url":"https://fairsharing.org/10.25504/FAIRsharing.27rndz","doi":"10.25504/FAIRsharing.27rndz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geographical Entity Ontology (GEO) is an ontology of geographical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Human Geography","Physical Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2520,"relation":"applies_to_content"}],"grants":[{"id":11004,"fairsharing_record_id":823,"organisation_id":3055,"relation":"collaborates_on","created_at":"2023-10-16T14:39:24.232Z","updated_at":"2023-10-16T14:39:24.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11005,"fairsharing_record_id":823,"organisation_id":1810,"relation":"maintains","created_at":"2023-10-16T14:39:24.301Z","updated_at":"2023-10-16T14:39:24.301Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"824","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T15:46:06.000Z","updated_at":"2022-04-11T12:07:18.386Z","metadata":{"doi":"10.25504/FAIRsharing.tnu8V7","name":"Data Quality Vocabulary","status":"ready","homepage":"https://www.w3.org/TR/vocab-dqv/","identifier":824,"description":"Aiming to facilitate the publication of such data quality information on the Web, especially in the growing area of data catalogues, the W3C Data Web Best Practices Working (DWBP) group has developed the Data Quality Vocabulary (DQV). DQV is a (meta)data model implemented as an RDF vocabulary with properties and classes suitable for expressing the quality of datasets and their distributions. DQV has been conceived as a high-level, interoperable framework that must accommodate various views over data quality. DQV does not seek to determine what \"quality\" means. Quality lies in the eye of the beholder; and there is no objective, ideal definition of it. Some datasets will be judged as low-quality resources by some data consumers, while they will perfectly fit others' needs. There are heuristics designed to fit specific assessment situations that rely on quality indicators, such as pieces of data content, pieces of data meta-information and human ratings, to give indications about the suitability of data for some intended use. DQV re-uses the notions of quality dimensions, categories and metrics to represent various approaches to data quality assessments. It also stresses the importance of allowing different actors to assess the quality of datasets and publish their annotations, certificates, or mere opinions about a dataset.","abbreviation":"DQV","support_links":[{"url":"riccardo.albertoni@cnr.it","name":"Riccardo Albertoni","type":"Support email"},{"url":"aisaac@few.vu.nl","name":"Antoine Isaac","type":"Support email"},{"url":"https://github.com/w3c/dwbp","name":"GitHub Repository","type":"Github"},{"url":"https://www.w3.org/2013/dwbp/wiki/Data_quality_notes","name":"Wiki Pages","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001339","bsg-s001339"],"name":"FAIRsharing record for: Data Quality Vocabulary","abbreviation":"DQV","url":"https://fairsharing.org/10.25504/FAIRsharing.tnu8V7","doi":"10.25504/FAIRsharing.tnu8V7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Aiming to facilitate the publication of such data quality information on the Web, especially in the growing area of data catalogues, the W3C Data Web Best Practices Working (DWBP) group has developed the Data Quality Vocabulary (DQV). DQV is a (meta)data model implemented as an RDF vocabulary with properties and classes suitable for expressing the quality of datasets and their distributions. DQV has been conceived as a high-level, interoperable framework that must accommodate various views over data quality. DQV does not seek to determine what \"quality\" means. Quality lies in the eye of the beholder; and there is no objective, ideal definition of it. Some datasets will be judged as low-quality resources by some data consumers, while they will perfectly fit others' needs. There are heuristics designed to fit specific assessment situations that rely on quality indicators, such as pieces of data content, pieces of data meta-information and human ratings, to give indications about the suitability of data for some intended use. DQV re-uses the notions of quality dimensions, categories and metrics to represent various approaches to data quality assessments. It also stresses the importance of allowing different actors to assess the quality of datasets and publish their annotations, certificates, or mere opinions about a dataset.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Quality"],"domains":["Data retrieval"],"taxonomies":[],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1325,"relation":"undefined"}],"grants":[{"id":6221,"fairsharing_record_id":824,"organisation_id":3201,"relation":"maintains","created_at":"2021-09-30T09:27:53.136Z","updated_at":"2021-09-30T09:27:53.136Z","grant_id":null,"is_lead":false,"saved_state":{"id":3201,"name":"W3C - Data on the Web Best Practices Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6220,"fairsharing_record_id":824,"organisation_id":1567,"relation":"maintains","created_at":"2021-09-30T09:27:53.104Z","updated_at":"2021-09-30T09:27:53.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":1567,"name":"Italian National Research Council (CNR) - Institute for Applied Mathematics and Information Technologies Enrico Magenes","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9159,"fairsharing_record_id":824,"organisation_id":3197,"relation":"maintains","created_at":"2022-04-11T12:07:18.374Z","updated_at":"2022-04-11T12:07:18.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":3197,"name":"Vrije Universiteit Amsterdam, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"825","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T12:24:29.000Z","updated_at":"2022-07-20T11:38:36.466Z","metadata":{"doi":"10.25504/FAIRsharing.e07e1b","name":"Water Markup Language","status":"ready","contacts":[{"contact_name":"OGC Standards Contact","contact_email":"standards@opengeospatial.org"}],"homepage":"http://www.opengeospatial.org/standards/waterml","identifier":825,"description":"WaterML 2.0 is a standard information model for the representation of water observations data, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of exchange requirements. The primary goal of this profile is to capture the semantics of hydrological observational data for data exchange. This will allow hydrological information systems to communicate data between systems and to end users.","abbreviation":"WaterML","support_links":[{"url":"https://www.ogc.org/standards/waterml#news","name":"Related news","type":"Blog/News"}],"year_creation":2012},"legacy_ids":["bsg-001318","bsg-s001318"],"name":"FAIRsharing record for: Water Markup Language","abbreviation":"WaterML","url":"https://fairsharing.org/10.25504/FAIRsharing.e07e1b","doi":"10.25504/FAIRsharing.e07e1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WaterML 2.0 is a standard information model for the representation of water observations data, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of exchange requirements. The primary goal of this profile is to capture the semantics of hydrological observational data for data exchange. This will allow hydrological information systems to communicate data between systems and to end users.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science","Hydrology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Observations"],"countries":["Australia","Canada","France","Germany","United States"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2182,"relation":"undefined"}],"grants":[{"id":6223,"fairsharing_record_id":825,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:53.190Z","updated_at":"2021-09-30T09:27:53.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"826","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-05-19T06:40:35.132Z","metadata":{"doi":"10.25504/FAIRsharing.g7b4rj","name":"WikiPathways","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@gmail.com"}],"homepage":"http://www.wikipathways.org/","citations":[],"identifier":826,"description":"WikiPathways simplifies the contribution and maintenance of biological pathway information. It is an open and collaborative platform that curates pathways, complementing existing databases like KEGG, Reactome, and Pathway Commons. The web-based format makes it easy for anyone to participate, from students to experts. The community takes on peer review, editorial curation, and maintenance tasks.","abbreviation":"WIKIPATHWAYS","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WIKIPATHWAYS","name":"WIKIPATHWAYS","portal":"BioPortal"}]},"legacy_ids":["bsg-000909","bsg-s000909"],"name":"FAIRsharing record for: WikiPathways","abbreviation":"WIKIPATHWAYS","url":"https://fairsharing.org/10.25504/FAIRsharing.g7b4rj","doi":"10.25504/FAIRsharing.g7b4rj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WikiPathways simplifies the contribution and maintenance of biological pathway information. It is an open and collaborative platform that curates pathways, complementing existing databases like KEGG, Reactome, and Pathway Commons. The web-based format makes it easy for anyone to participate, from students to experts. The community takes on peer review, editorial curation, and maintenance tasks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Virology","Epidemiology"],"domains":["Reaction data","Protein interaction","Signaling","Biological regulation","Molecular interaction","Genetic interaction","Drug interaction","Pathway model"],"taxonomies":["Anopheles gambiae","Arabidopsis thaliana","Bacillus subtilis","Bos taurus","Caenorhabditis elegans","Canis familiaris","Danio rerio","Drosophila melanogaster","Equus caballus","Escherichia coli","Gallus gallus","Gibberella zeae","Homo sapiens","Hordeum vulgare","Mus musculus","Mycobacterium tuberculosis","Oryza sativa","Pan troglodytes","Plasmodium falciparum","Populus trichocarpa","Rattus norvegicus","Saccharomyces cerevisiae","Solanum lycopersicum","Sus scrofa","Zea mays"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"790","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.371Z","metadata":{"doi":"10.25504/FAIRsharing.7z842d","name":"CDISC Standard for Exchange of Nonclinical Data","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/send","identifier":790,"description":"CDISC SEND is an implementation of the SDTM standard for nonclinical studies. SEND specifies a way to collect and present nonclinical data in a consistent format.","abbreviation":"CDISC SEND","support_links":[{"url":"https://www.cdisc.org/education/course/send-implementation","name":"SEND Implementation","type":"Training documentation"}]},"legacy_ids":["bsg-000036","bsg-s000036"],"name":"FAIRsharing record for: CDISC Standard for Exchange of Nonclinical Data","abbreviation":"CDISC SEND","url":"https://fairsharing.org/10.25504/FAIRsharing.7z842d","doi":"10.25504/FAIRsharing.7z842d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC SEND is an implementation of the SDTM standard for nonclinical studies. SEND specifies a way to collect and present nonclinical data in a consistent format.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17395},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11263},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11801},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11934},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12398}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["In vivo design"],"taxonomies":["Canis familiaris","Macaca fascicularis","Macaca mulatta","Metazoa","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Non-clinical trial"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6190,"fairsharing_record_id":790,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:51.845Z","updated_at":"2021-09-30T09:27:51.845Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6188,"fairsharing_record_id":790,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:27:51.769Z","updated_at":"2021-09-30T09:27:51.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6189,"fairsharing_record_id":790,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:27:51.807Z","updated_at":"2021-09-30T09:27:51.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6191,"fairsharing_record_id":790,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:27:51.877Z","updated_at":"2021-09-30T09:27:51.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"792","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2022-07-20T10:59:51.307Z","metadata":{"doi":"10.25504/FAIRsharing.v665h","name":"Minimal Standard Terminology for Gastrointestinal Endoscopy","status":"ready","contacts":[{"contact_name":"WEO Secretariat","contact_email":"secretariat@worldendo.org","contact_orcid":null}],"homepage":"https://www.worldendo.org/resources/minimal-standard-terminology-mst/","citations":[],"identifier":792,"description":"The Minimal Standard Terminology (MST) for gastrointestinal endoscopy is the result of a continuous work by WEO, the European Society of Gastrointestinal Endoscopy (ESGE), the American Society of Gastrointestinal Endoscopy (ASGE) and a large group of international collaborators. Standardization of the language of gastrointestinal endoscopy is becoming increasingly important on account of international collaboration, standardized documentation requirements, and computer-based reporting. The MST offers a selection of terms and attributes for appropriate description of findings, procedures and complications with regards to gastrointestinal endoscopy. It does not offer a complete reference for the endoscopic report.","abbreviation":"MST","support_links":[{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/MTHMST/index.html","name":"NLM's Metathesaurus MST Digestive Endoscopy (MTHMST)","type":"Other"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSTDE","name":"NLM Version of MST on BioPortal","portal":"BioPortal"}]},"legacy_ids":["bsg-000910","bsg-s000910"],"name":"FAIRsharing record for: Minimal Standard Terminology for Gastrointestinal Endoscopy","abbreviation":"MST","url":"https://fairsharing.org/10.25504/FAIRsharing.v665h","doi":"10.25504/FAIRsharing.v665h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimal Standard Terminology (MST) for gastrointestinal endoscopy is the result of a continuous work by WEO, the European Society of Gastrointestinal Endoscopy (ESGE), the American Society of Gastrointestinal Endoscopy (ASGE) and a large group of international collaborators. Standardization of the language of gastrointestinal endoscopy is becoming increasingly important on account of international collaboration, standardized documentation requirements, and computer-based reporting. The MST offers a selection of terms and attributes for appropriate description of findings, procedures and complications with regards to gastrointestinal endoscopy. It does not offer a complete reference for the endoscopic report.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gastroenterology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["endoscopy"],"countries":["Worldwide"],"publications":[{"id":3172,"pubmed_id":null,"title":"Minimal standard terminology for gastrointestinal endoscopy – MST 3.0","year":2009,"url":"http://dx.doi.org/10.1055/s-0029-1214949","authors":"Aabakken, Lars; Rembacken, Bjorn; LeMoine, Olivier; Kuznetsov, Konstantin; Rey, Jean-Francois; Rösch, Thomas; Eisen, Glen; Cotton, Peter; Fujino, Masayuki; ","journal":"Endoscopy","doi":"10.1055/s-0029-1214949","created_at":"2022-01-05T14:47:27.350Z","updated_at":"2022-01-05T14:47:27.350Z"}],"licence_links":[{"licence_name":"WEO MST Copyright Declaration","licence_id":900,"licence_url":"https://www.worldendo.org/resources/minimal-standard-terminology-mst/","link_id":2549,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"795","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-13T09:26:15.477Z","metadata":{"doi":"10.25504/FAIRsharing.znrhmd","name":"Heart Failure Ontology","status":"ready","contacts":[{"contact_name":"Liqin Wang","contact_email":"liqin.j.wang@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/HFO","citations":[],"identifier":795,"description":"Heart failure ontology is an attempt to define heart-failure-relevant information including the causes and risk factors, signs and symptoms, diagnostic tests and results, and treatment.","abbreviation":"HFO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HFO","name":"HFO","portal":"BioPortal"}]},"legacy_ids":["bsg-000911","bsg-s000911"],"name":"FAIRsharing record for: Heart Failure Ontology","abbreviation":"HFO","url":"https://fairsharing.org/10.25504/FAIRsharing.znrhmd","doi":"10.25504/FAIRsharing.znrhmd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Heart failure ontology is an attempt to define heart-failure-relevant information including the causes and risk factors, signs and symptoms, diagnostic tests and results, and treatment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Human Biology"],"domains":["Heart"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"796","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:57:43.688Z","metadata":{"doi":"10.25504/FAIRsharing.4c9hhn","name":"TDWG Access Protocol for Information Retrieval","status":"ready","contacts":[{"contact_name":"Renato De Giovanni","contact_email":"renato@cria.org.br","contact_orcid":"0000-0002-7104-7266"}],"homepage":"http://www.tdwg.org/standards/449/","identifier":796,"description":"The TDWG Access Protocol for Information Retrieval (TAPIR) is a Web Service protocol and XML schema to perform queries across distributed databases of varied physical and logical structure. It was originally designed to be used by federated networks. TAPIR is intended for communication between applications, using HTTP as the transport mechanism. TAPIR's flexibility makes it suitable to both very simple service implementations where the provider only responds to a set of pre-defined queries, or more advanced implementations where the provider software can dynamically parse complex queries referencing output models supplied by the client.","abbreviation":"TAPIR","support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","type":"Mailing list"},{"url":"http://tdwg.github.io/tapir/docs/tdwg_tapir_specification_2010-05-05.html","name":"TAPIR - TDWG Access Protocol for Information Retrieval","type":"Github"},{"url":"http://tdwg.github.io/tapir/cs/","name":"TAPIR concept name server","type":"Github"},{"url":"http://tdwg.github.io/tapir/docs/TAPIRNetworkBuildersGuide_2010-05-05.html","name":"TAPIR - TDWG Access Protocol for Information Retrieval","type":"Github"}],"year_creation":2009,"associated_tools":[{"url":"https://sourceforge.net/projects/digir/files/TapirLink/","name":"TapirLink"},{"url":"https://sourceforge.net/p/digir/svn/HEAD/tree/pywrapper/","name":"PyWrapper"},{"url":"https://sourceforge.net/p/digir/svn/HEAD/tree/tapirtester/","name":"TAPIR Tester"},{"url":"https://sourceforge.net/p/digir/svn/HEAD/tree/tapirbuilder/","name":"TAPIR Builder"}]},"legacy_ids":["bsg-000196","bsg-s000196"],"name":"FAIRsharing record for: TDWG Access Protocol for Information Retrieval","abbreviation":"TAPIR","url":"https://fairsharing.org/10.25504/FAIRsharing.4c9hhn","doi":"10.25504/FAIRsharing.4c9hhn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TDWG Access Protocol for Information Retrieval (TAPIR) is a Web Service protocol and XML schema to perform queries across distributed databases of varied physical and logical structure. It was originally designed to be used by federated networks. TAPIR is intended for communication between applications, using HTTP as the transport mechanism. TAPIR's flexibility makes it suitable to both very simple service implementations where the provider only responds to a set of pre-defined queries, or more advanced implementations where the provider software can dynamically parse complex queries referencing output models supplied by the client.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12001},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12270}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Computer Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1250,"relation":"undefined"}],"grants":[{"id":6192,"fairsharing_record_id":796,"organisation_id":2705,"relation":"maintains","created_at":"2021-09-30T09:27:51.904Z","updated_at":"2021-09-30T09:27:51.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":2705,"name":"TAPIR task group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"800","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.078Z","metadata":{"doi":"10.25504/FAIRsharing.k5s8zj","name":"Multilevel Healthcare Information Modeling","status":"uncertain","contacts":[{"contact_name":"Luciana Tricai Cavalini","contact_email":"lutricav@mlhim.org","contact_orcid":"0000-0002-1087-1024"}],"homepage":"https://mlhim-specifications.readthedocs.io/en/master/index.html","identifier":800,"description":"The Multilevel Healthcare Information Modeling (MLHIM) specifications enables the exchange of syntactically and semantically interoperable data extracts between distributed, independently developed, biomedical databases and clinical applications, promoting syntactic and semantic integration of Translational Research data. This record has been marked as having an Uncertain status as the original homepage (http://mlhim.org) and GitHub repository are no longer available. If you have any information on the current status of this format, please get in touch.","abbreviation":"MLHIM","year_creation":2010},"legacy_ids":["bsg-000524","bsg-s000524"],"name":"FAIRsharing record for: Multilevel Healthcare Information Modeling","abbreviation":"MLHIM","url":"https://fairsharing.org/10.25504/FAIRsharing.k5s8zj","doi":"10.25504/FAIRsharing.k5s8zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Multilevel Healthcare Information Modeling (MLHIM) specifications enables the exchange of syntactically and semantically interoperable data extracts between distributed, independently developed, biomedical databases and clinical applications, promoting syntactic and semantic integration of Translational Research data. This record has been marked as having an Uncertain status as the original homepage (http://mlhim.org) and GitHub repository are no longer available. If you have any information on the current status of this format, please get in touch.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12467}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science","Translational Medicine"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Brazil","France","Germany","New Zealand","United Kingdom","United States"],"publications":[{"id":259,"pubmed_id":null,"title":"Knowledge engineering of healthcare applications based on minimalist multilevel models","year":2012,"url":"http://doi.org/10.1109/HealthCom.2012.6379454","authors":"Cavalini LT; Cook TW","journal":"Proceedings of the 14th IEEE International Conference on e-Health Networking, Applications and Services (Healthcom 2012)","doi":"10.1109/HealthCom.2012.6379454","created_at":"2021-09-30T08:22:47.991Z","updated_at":"2021-09-30T08:22:47.991Z"},{"id":1808,"pubmed_id":null,"title":"Health Informatics: The Relevance of Open Source and Multilevel Modeling","year":2011,"url":"http://doi.org/10.1007/978-3-642-24418-6_29","authors":"Cavalini LT; Cook TW","journal":"IFIP Advances in Information and Communication Technology","doi":"10.1007/978-3-642-24418-6_29","created_at":"2021-09-30T08:25:42.962Z","updated_at":"2021-09-30T08:25:42.962Z"}],"licence_links":[],"grants":[{"id":6196,"fairsharing_record_id":800,"organisation_id":2451,"relation":"maintains","created_at":"2021-09-30T09:27:52.086Z","updated_at":"2021-09-30T09:27:52.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":2451,"name":"Rio de Janeiro State University, Brazil","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6193,"fairsharing_record_id":800,"organisation_id":1876,"relation":"funds","created_at":"2021-09-30T09:27:51.965Z","updated_at":"2021-09-30T09:27:51.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":1876,"name":"Ministry of Science, Technology and Innovation (CNPq), Brasilia, Brazil","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6194,"fairsharing_record_id":800,"organisation_id":1079,"relation":"funds","created_at":"2021-09-30T09:27:52.007Z","updated_at":"2021-09-30T09:27:52.007Z","grant_id":null,"is_lead":false,"saved_state":{"id":1079,"name":"Fundaeo Carlos Chagas Filho de Amparo, Pesquisa do Estado do Rio de Janeiro (FAPERJ), Rio de Janeiro, Brazil","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6195,"fairsharing_record_id":800,"organisation_id":1813,"relation":"funds","created_at":"2021-09-30T09:27:52.049Z","updated_at":"2021-09-30T09:27:52.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1813,"name":"Medicine Assisted by Scientific Computing (MACC), National Institute of Science and Technology, Rio de Janeiro, Brasil","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6197,"fairsharing_record_id":800,"organisation_id":1022,"relation":"maintains","created_at":"2021-09-30T09:27:52.122Z","updated_at":"2021-09-30T09:27:52.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":1022,"name":"Fluminense Federal University, Niterai, RJ, Brazil","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"817","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:58:29.685Z","metadata":{"doi":"10.25504/FAIRsharing.tepvv5","name":"FOODIE core ontology","status":"ready","contacts":[{"contact_name":"Raul Palma","contact_email":"rpalma@man.poznan.pl"}],"homepage":"http://foodie-cloud.github.io/model/FOODIE.html","identifier":817,"description":"The FOODIE project is focused on building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and large-scale integration of data relevant for farming production. The FOODIE ontology is an INSPIRE-based vocabulary for the publication of Agricultural Linked Data. The ontology provides a semantic representation of the FOODIE core data model, which was specified in UML by extending and specializing the INSPIRE data model for Agricultural and Aquaculture Facilities (AF), which is in turn based on the ISO/OGC standards for geographical information.","abbreviation":"FOODIE","support_links":[{"url":"https://github.com/FOODIE-cloud/ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001114","bsg-s001114"],"name":"FAIRsharing record for: FOODIE core ontology","abbreviation":"FOODIE","url":"https://fairsharing.org/10.25504/FAIRsharing.tepvv5","doi":"10.25504/FAIRsharing.tepvv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FOODIE project is focused on building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and large-scale integration of data relevant for farming production. The FOODIE ontology is an INSPIRE-based vocabulary for the publication of Agricultural Linked Data. The ontology provides a semantic representation of the FOODIE core data model, which was specified in UML by extending and specializing the INSPIRE data model for Agricultural and Aquaculture Facilities (AF), which is in turn based on the ISO/OGC standards for geographical information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Agriculture"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Czech Republic","Poland","Spain"],"publications":[{"id":2069,"pubmed_id":null,"title":"An INSPIRE-Based Vocabulary for the Publication of Agricultural Linked Data","year":2016,"url":"https://link.springer.com/chapter/10.1007/978-3-319-33245-1_13","authors":"Palma R., Reznik T., Esbrí M., Charvat K., Mazurek C.","journal":"In: Tamma V., Dragoni M., Gonçalves R., Ławrynowicz A. (eds) Ontology Engineering. OWLED 2015. Lecture Notes in Computer Science, vol 9557","doi":null,"created_at":"2021-09-30T08:26:13.191Z","updated_at":"2021-09-30T11:28:34.328Z"}],"licence_links":[],"grants":[{"id":6209,"fairsharing_record_id":817,"organisation_id":2779,"relation":"funds","created_at":"2021-09-30T09:27:52.615Z","updated_at":"2021-09-30T09:27:52.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":2779,"name":"The FOODIE Project","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6208,"fairsharing_record_id":817,"organisation_id":2351,"relation":"maintains","created_at":"2021-09-30T09:27:52.578Z","updated_at":"2021-09-30T09:27:52.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":2351,"name":"Poznan Supercomputing and Networking Center, Poznan, Poland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"818","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T12:02:01.000Z","updated_at":"2023-09-29T11:54:58.567Z","metadata":{"doi":"10.25504/FAIRsharing.33aa85","name":"ISO 639-3 Codes for the representation of names of languages - Part 3: Alpha-3 code for comprehensive coverage of languages","status":"ready","contacts":[{"contact_name":"SIL International","contact_email":"iso639-3@sil.org"}],"homepage":"https://www.iso.org/standard/39534.html","citations":[],"identifier":818,"description":"ISO 639-3 provides a comprehensive set of identifiers for all languages for use in a wide range of applications, including linguistics, lexicography and internationalization of information systems. It attempts to represent all known full languages. ISO 639 provides three language code sets: one is a two-letter code (ISO 639-1) and two others are three-letter codes (ISO 639-2 and ISO 639-3) for the representation of names of languages. The three-letter codes in ISO 639-2 and ISO 639-3 are complementary and compatible. The two codes have been devised for different purposes. The set of individual languages listed in ISO 639-2 is a subset of those listed in ISO 639-3. The codes differ in that ISO 639-2 includes code elements representing some individual languages and also collections of languages, while ISO 639-3 includes code elements for all known individual languages but not for collections of languages. Overall, the set of individual languages listed in ISO 639-3 is much larger than the set of individual languages listed in ISO 639-2.","abbreviation":"ISO 639-3","support_links":[{"url":"https://iso639-3.sil.org/sites/iso639-3/files/criteria_for_coded_languages.pdf","name":"Criteria for Inclusion","type":"Help documentation"},{"url":"https://iso639-3.sil.org/about/relationships","name":"Relationship to other ISO 639 Standards","type":"Help documentation"},{"url":"https://iso639-3.sil.org/about/scope","name":"Scope of Denotation for Language Identifiers","type":"Help documentation"},{"url":"https://iso639-3.sil.org/about/types","name":"Types of Languages","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001407","bsg-s001407"],"name":"FAIRsharing record for: ISO 639-3 Codes for the representation of names of languages - Part 3: Alpha-3 code for comprehensive coverage of languages","abbreviation":"ISO 639-3","url":"https://fairsharing.org/10.25504/FAIRsharing.33aa85","doi":"10.25504/FAIRsharing.33aa85","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 639-3 provides a comprehensive set of identifiers for all languages for use in a wide range of applications, including linguistics, lexicography and internationalization of information systems. It attempts to represent all known full languages. ISO 639 provides three language code sets: one is a two-letter code (ISO 639-1) and two others are three-letter codes (ISO 639-2 and ISO 639-3) for the representation of names of languages. The three-letter codes in ISO 639-2 and ISO 639-3 are complementary and compatible. The two codes have been devised for different purposes. The set of individual languages listed in ISO 639-2 is a subset of those listed in ISO 639-3. The codes differ in that ISO 639-2 includes code elements representing some individual languages and also collections of languages, while ISO 639-3 includes code elements for all known individual languages but not for collections of languages. Overall, the set of individual languages listed in ISO 639-3 is much larger than the set of individual languages listed in ISO 639-2.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Informatics","Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Language"],"countries":["United States","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6211,"fairsharing_record_id":818,"organisation_id":2567,"relation":"maintains","created_at":"2021-09-30T09:27:52.690Z","updated_at":"2021-09-30T09:27:52.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":2567,"name":"SIL International","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":6210,"fairsharing_record_id":818,"organisation_id":1526,"relation":"maintains","created_at":"2021-09-30T09:27:52.654Z","updated_at":"2021-09-30T09:27:52.654Z","grant_id":null,"is_lead":false,"saved_state":{"id":1526,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 2: Terminology workflow and language coding","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10924,"fairsharing_record_id":818,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:16:35.581Z","updated_at":"2023-09-27T14:16:35.581Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"819","type":"fairsharing_records","attributes":{"created_at":"2018-08-16T22:27:02.000Z","updated_at":"2022-02-08T10:47:47.393Z","metadata":{"doi":"10.25504/FAIRsharing.6bd353","name":"Darwin Information Typing Architecture","status":"ready","contacts":[{"contact_name":"Kristen Eberlein","contact_email":"kris@eberleinconsulting.com"}],"homepage":"http://docs.oasis-open.org/dita/v1.2/os/spec/DITA1.2-spec.html","identifier":819,"description":"The Darwin Information Typing Architecture (DITA) 1.2 is a standard for writing, representing as well as defining the topic information in a variety of document types.","abbreviation":"DITA","year_creation":2010},"legacy_ids":["bsg-001237","bsg-s001237"],"name":"FAIRsharing record for: Darwin Information Typing Architecture","abbreviation":"DITA","url":"https://fairsharing.org/10.25504/FAIRsharing.6bd353","doi":"10.25504/FAIRsharing.6bd353","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Darwin Information Typing Architecture (DITA) 1.2 is a standard for writing, representing as well as defining the topic information in a variety of document types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6212,"fairsharing_record_id":819,"organisation_id":2266,"relation":"maintains","created_at":"2021-09-30T09:27:52.730Z","updated_at":"2021-09-30T09:27:52.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":2266,"name":"Open Standards for Information Society (OASIS)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6213,"fairsharing_record_id":819,"organisation_id":1525,"relation":"maintains","created_at":"2021-09-30T09:27:52.761Z","updated_at":"2021-09-30T09:27:52.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"820","type":"fairsharing_records","attributes":{"created_at":"2018-10-14T09:35:48.000Z","updated_at":"2022-07-20T09:05:44.423Z","metadata":{"doi":"10.25504/FAIRsharing.667cc3","name":"AS/NZS ISO 19115.1:2015 Metadata","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"spatial@pmc.gov.au"},{"contact_name":"Australia New Zealand Metadata Working Group (ANZMWG)","contact_email":"anz_mdwg@ga.gov.au","contact_orcid":null}],"homepage":"https://www.anzlic.gov.au/resources/asnzs-iso-1911512015-metadata","citations":[],"identifier":820,"description":"The AS/NZS ISO 19115.1:2015 metadata standard (including the 2018 Amendment No.1) extends ISO 19115-1. ANZLIC provides an extension for this metadata standard specific to the Australian and New Zealand geo-spatial region. ","abbreviation":null,"support_links":[{"url":"https://www.anzlic.gov.au/sites/default/files/files/2015_metadata_profile_guidelines_standard.pdf","name":"2016 Metadata Guidelines Standard","type":"Help documentation"},{"url":"https://icsm-au.github.io/metadata-working-group/","name":"Best Practice Guide","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"https://www.ga.gov.au/data-pubs/datastandards/cataloguestandard/metadata-profile-validator","name":"Metadata Validator"}]},"legacy_ids":["bsg-001325","bsg-s001325"],"name":"FAIRsharing record for: AS/NZS ISO 19115.1:2015 Metadata","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.667cc3","doi":"10.25504/FAIRsharing.667cc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AS/NZS ISO 19115.1:2015 metadata standard (including the 2018 Amendment No.1) extends ISO 19115-1. ANZLIC provides an extension for this metadata standard specific to the Australian and New Zealand geo-spatial region. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geology","Ecology","Earth Science","Freshwater Science"],"domains":["Resource metadata","Marine environment","Transport"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Metadata standardization","Natural Resources, Earth and Environment"],"countries":["Australia","New Zealand"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":689,"relation":"undefined"}],"grants":[{"id":9679,"fairsharing_record_id":820,"organisation_id":3599,"relation":"maintains","created_at":"2022-07-15T16:47:12.043Z","updated_at":"2022-07-15T16:47:12.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":3599,"name":"The Spatial Information Council (ANZLIC)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6214,"fairsharing_record_id":820,"organisation_id":138,"relation":"maintains","created_at":"2021-09-30T09:27:52.787Z","updated_at":"2021-09-30T09:27:52.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":138,"name":"Australian Department of Industry, innovation and Science","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"821","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T09:38:25.000Z","updated_at":"2022-04-11T12:07:29.361Z","metadata":{"name":"Web3 Unique Representation of Carbohydrate Structures","status":"in_development","contacts":[{"contact_name":"Issaku Yamada","contact_email":"issaku@noguchi.or.jp","contact_orcid":"0000-0001-9504-189X"}],"homepage":"http://www.wurcs-wg.org","identifier":821,"description":"The Web3 Unique Representation of Carbohydrate Structures (WURCS) defines a generalizable and unique linear representation for carbohydrate structures. A recent update (WURCS 2.0) was created to handle structural ambiguity around (potential) carbonyl groups incidental to the carbohydrate analysis. WURCS 2.0 can represent a wider variety of carbohydrate structures containing ambiguous monosaccharides, such as those whose ring closure is undefined or whose anomeric information is only known.","abbreviation":"WURCS","year_creation":2014,"associated_tools":[{"url":"http://www.wurcs-wg.org/software.php","name":"Available Software"}]},"legacy_ids":["bsg-001356","bsg-s001356"],"name":"FAIRsharing record for: Web3 Unique Representation of Carbohydrate Structures","abbreviation":"WURCS","url":"https://fairsharing.org/fairsharing_records/821","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Web3 Unique Representation of Carbohydrate Structures (WURCS) defines a generalizable and unique linear representation for carbohydrate structures. A recent update (WURCS 2.0) was created to handle structural ambiguity around (potential) carbonyl groups incidental to the carbohydrate analysis. WURCS 2.0 can represent a wider variety of carbohydrate structures containing ambiguous monosaccharides, such as those whose ring closure is undefined or whose anomeric information is only known.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry"],"domains":["Chemical formula","Molecular structure","Carbohydrate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2009,"pubmed_id":24897372,"title":"WURCS: the Web3 unique representation of carbohydrate structures.","year":2014,"url":"http://doi.org/10.1021/ci400571e","authors":"Tanaka K,Aoki-Kinoshita KF,Kotera M,Sawaki H,Tsuchiya S,Fujita N,Shikanai T,Kato M,Kawano S,Yamada I,Narimatsu H","journal":"J Chem Inf Model","doi":"10.1021/ci400571e","created_at":"2021-09-30T08:26:06.298Z","updated_at":"2021-09-30T08:26:06.298Z"},{"id":2017,"pubmed_id":28263066,"title":"WURCS 2.0 Update To Encapsulate Ambiguous Carbohydrate Structures.","year":2017,"url":"http://doi.org/10.1021/acs.jcim.6b00650","authors":"Matsubara M,Aoki-Kinoshita KF,Aoki NP,Yamada I,Narimatsu H","journal":"J Chem Inf Model","doi":"10.1021/acs.jcim.6b00650","created_at":"2021-09-30T08:26:07.234Z","updated_at":"2021-09-30T08:26:07.234Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1426,"relation":"undefined"}],"grants":[{"id":6215,"fairsharing_record_id":821,"organisation_id":2813,"relation":"maintains","created_at":"2021-09-30T09:27:52.824Z","updated_at":"2021-09-30T09:27:52.824Z","grant_id":null,"is_lead":false,"saved_state":{"id":2813,"name":"The Noguchi Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6217,"fairsharing_record_id":821,"organisation_id":2591,"relation":"maintains","created_at":"2021-09-30T09:27:52.933Z","updated_at":"2021-09-30T09:27:52.933Z","grant_id":null,"is_lead":false,"saved_state":{"id":2591,"name":"Soka University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6218,"fairsharing_record_id":821,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:52.974Z","updated_at":"2021-09-30T09:27:52.974Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9308,"fairsharing_record_id":821,"organisation_id":2007,"relation":"maintains","created_at":"2022-04-11T12:07:29.348Z","updated_at":"2022-04-11T12:07:29.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"772","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-03-22T14:49:20.471Z","metadata":{"doi":"10.25504/FAIRsharing.2787qk","name":"Ciona intestinalis Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage","citations":[],"identifier":772,"description":"The first ontology describing the anatomy and the development of Ciona intestinalis, based on the Hotta developmental table.","abbreviation":"CIINTEADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIINTEADO","name":"CIINTEADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000895","bsg-s000895"],"name":"FAIRsharing record for: Ciona intestinalis Anatomy and Development Ontology","abbreviation":"CIINTEADO","url":"https://fairsharing.org/10.25504/FAIRsharing.2787qk","doi":"10.25504/FAIRsharing.2787qk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Ciona intestinalis, based on the Hotta developmental table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Ciona intestinalis"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10442,"fairsharing_record_id":772,"organisation_id":1974,"relation":"funds","created_at":"2023-03-22T14:48:34.946Z","updated_at":"2023-03-22T14:48:34.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"774","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-13T13:26:02.326Z","metadata":{"doi":"10.25504/FAIRsharing.7k29h0","name":"Holistic Ontology of Rare Diseases","status":"ready","contacts":[{"contact_name":"Laia Subirats","contact_email":"laia.subirats@gmail.com"}],"homepage":"https://sites.google.com/site/laiasubirats","citations":[],"identifier":774,"description":"This ontology describes the bio-psico-social state of a person of rare diseses in a holistic way. It considers several contents such as disease, psychological, social, environmental state of the person.","abbreviation":"HORD","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HORD","name":"HORD","portal":"BioPortal"}]},"legacy_ids":["bsg-000897","bsg-s000897"],"name":"FAIRsharing record for: Holistic Ontology of Rare Diseases","abbreviation":"HORD","url":"https://fairsharing.org/10.25504/FAIRsharing.7k29h0","doi":"10.25504/FAIRsharing.7k29h0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology describes the bio-psico-social state of a person of rare diseses in a holistic way. It considers several contents such as disease, psychological, social, environmental state of the person.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Primary Health Care"],"domains":["Rare disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"776","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2023-03-15T07:48:21.622Z","metadata":{"doi":"10.25504/FAIRsharing.q053vb","name":"MFO Mental Disease Ontology","status":"ready","contacts":[{"contact_name":"Janna Hastings","contact_email":"janna.hastings@gmail.com"}],"homepage":"https://github.com/jannahastings/mental-functioning-ontology","citations":[],"identifier":776,"description":"An ontology to describe and classify mental diseases such as schizophrenia, annotated with DSM-IV and ICD codes where applicable.","abbreviation":"MFOMD","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MFOMD","name":"MFOMD","portal":"BioPortal"}]},"legacy_ids":["bsg-000922","bsg-s000922"],"name":"FAIRsharing record for: MFO Mental Disease Ontology","abbreviation":"MFOMD","url":"https://fairsharing.org/10.25504/FAIRsharing.q053vb","doi":"10.25504/FAIRsharing.q053vb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology to describe and classify mental diseases such as schizophrenia, annotated with DSM-IV and ICD codes where applicable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Psychiatry"],"domains":["Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"777","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2021-11-24T13:14:23.257Z","metadata":{"doi":"10.25504/FAIRsharing.w2mrnx","name":"Computer Assisted Brain Injury Rehabilitation Ontology","status":"ready","contacts":[{"contact_name":"Dimitrios Zikos","contact_email":"dimitriszikos@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/CABRO","citations":[{"pubmed_id":23823389,"publication_id":2218}],"identifier":777,"description":"CABRO is a web ontology for the semantic representation of the computer assisted brain trauma rehabilitation domain. This research area employs the use of robotic devices, adaptation software and machine learning to facilitate interactive, adaptive and personalized rehabilitation care, patient monitoring and assisted living.","abbreviation":"CABRO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CABRO","name":"CABRO","portal":"BioPortal"}]},"legacy_ids":["bsg-000901","bsg-s000901"],"name":"FAIRsharing record for: Computer Assisted Brain Injury Rehabilitation Ontology","abbreviation":"CABRO","url":"https://fairsharing.org/10.25504/FAIRsharing.w2mrnx","doi":"10.25504/FAIRsharing.w2mrnx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CABRO is a web ontology for the semantic representation of the computer assisted brain trauma rehabilitation domain. This research area employs the use of robotic devices, adaptation software and machine learning to facilitate interactive, adaptive and personalized rehabilitation care, patient monitoring and assisted living.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Monitoring","Brain","Injury"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2218,"pubmed_id":23823389,"title":"A web ontology for brain trauma patient computer-assisted rehabilitation.","year":2013,"url":"https://www.ncbi.nlm.nih.gov/pubmed/23823389","authors":"Zikos D,Galatas G,Metsis V,Makedon F","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:26:29.948Z","updated_at":"2021-09-30T08:26:29.948Z"}],"licence_links":[],"grants":[{"id":6167,"fairsharing_record_id":777,"organisation_id":695,"relation":"maintains","created_at":"2021-09-30T09:27:51.023Z","updated_at":"2021-09-30T09:27:51.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":695,"name":"Department of Computer Science and Engineering, University of Texas Arlington, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"778","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2021-11-24T13:18:41.202Z","metadata":{"doi":"10.25504/FAIRsharing.w8g777","name":"Human Interaction Network Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.hegroup.org/onenettheory.html","identifier":778,"description":"The Human Interaction Network Ontology (HINO) is an INO extension for the domain of human interaction networks. It has incorporated Reactome reactions and pathways. Like INO, HINO aligns with BFO. HINO is developed following the OBO Foundry principles. Please note that the homepage listed is an indirect homepage only, as no project-specific homepage could be found.","abbreviation":"HINO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HINO","name":"HINO","portal":"BioPortal"}]},"legacy_ids":["bsg-000898","bsg-s000898"],"name":"FAIRsharing record for: Human Interaction Network Ontology","abbreviation":"HINO","url":"https://fairsharing.org/10.25504/FAIRsharing.w8g777","doi":"10.25504/FAIRsharing.w8g777","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Interaction Network Ontology (HINO) is an INO extension for the domain of human interaction networks. It has incorporated Reactome reactions and pathways. Like INO, HINO aligns with BFO. HINO is developed following the OBO Foundry principles. Please note that the homepage listed is an indirect homepage only, as no project-specific homepage could be found.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Network model","Molecular interaction","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":737,"pubmed_id":null,"title":"HINO: a BFO-aligned ontology representing human molecular interactions and pathways","year":2013,"url":"https://dev.arxiv.org/abs/1311.3355","authors":"Yongqun He, Zoushuang Xiang","journal":"arXiv","doi":null,"created_at":"2021-09-30T08:23:41.192Z","updated_at":"2021-09-30T11:29:51.837Z"}],"licence_links":[],"grants":[{"id":6168,"fairsharing_record_id":778,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:51.065Z","updated_at":"2021-09-30T09:27:51.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"779","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:16:54.000Z","updated_at":"2022-11-01T11:56:43.880Z","metadata":{"doi":"10.25504/FAIRsharing.o8TYnW","name":"FAIR Metrics - Resource Identifier in Metadata","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F3","citations":[],"identifier":779,"description":"FM-F3 provides a measurement of whether or not the metadata document contains the globally unique and persistent identifier for the digital resource. The discovery of a digital object should be possible from its metadata. For this to happen, the metadata must explicitly contain the identifier for the digital resource it describes. In addition, since many digital objects cannot be arbitrarily extended to include references to their metadata, in many cases the only means to discover the metadata related to a digital object will be to search based on the GUID of the digital object itself. To this end, the GUID of the metadata and the GUID of the digital resource it describes must be provided. This metric applies to part F3 of the FAIR Principles.","abbreviation":"FM-F3","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001345","bsg-s001345"],"name":"FAIRsharing record for: FAIR Metrics - Resource Identifier in Metadata","abbreviation":"FM-F3","url":"https://fairsharing.org/10.25504/FAIRsharing.o8TYnW","doi":"10.25504/FAIRsharing.o8TYnW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-F3 provides a measurement of whether or not the metadata document contains the globally unique and persistent identifier for the digital resource. The discovery of a digital object should be possible from its metadata. For this to happen, the metadata must explicitly contain the identifier for the digital resource it describes. In addition, since many digital objects cannot be arbitrarily extended to include references to their metadata, in many cases the only means to discover the metadata related to a digital object will be to search based on the GUID of the digital object itself. To this end, the GUID of the metadata and the GUID of the digital resource it describes must be provided. This metric applies to part F3 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Centrally registered identifier","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1411,"relation":"undefined"}],"grants":[{"id":6169,"fairsharing_record_id":779,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:51.106Z","updated_at":"2021-09-30T09:27:51.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6170,"fairsharing_record_id":779,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:51.144Z","updated_at":"2021-09-30T09:27:51.144Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6171,"fairsharing_record_id":779,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:51.177Z","updated_at":"2021-09-30T09:27:51.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6172,"fairsharing_record_id":779,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:51.220Z","updated_at":"2021-09-30T09:27:51.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"780","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T10:30:45.000Z","updated_at":"2022-12-14T08:18:32.816Z","metadata":{"doi":"10.25504/FAIRsharing.ochiOn","name":"IVOA Standard for Unified Content Descriptors","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/UCD.html","citations":[{"publication_id":2964}],"identifier":780,"description":"The IVOA Standard for Unified Content Descriptors document describes the current understanding of the IVOA controlled vocabulary for describing astronomical data quantities, called Unified Content Descriptors (UCDs). The present document defines a new standard (named UCD1+) improving the first generation of UCDs (UCD1). The basic idea is to adopt a new syntax and vocabulary requiring little effort for people to adapt software already using UCD1. This document also addresses the questions of maintenance and evolution of the UCD1+. Examples of use cases within the Virtual Observatory and tools for using UCD1+ are also described.","abbreviation":"IVOA UCD","support_links":[{"url":"http://www.ivoa.net/Documents/REC/UCD/UCD-20050812.html","name":"View Standard","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-001205","bsg-s001205"],"name":"FAIRsharing record for: IVOA Standard for Unified Content Descriptors","abbreviation":"IVOA UCD","url":"https://fairsharing.org/10.25504/FAIRsharing.ochiOn","doi":"10.25504/FAIRsharing.ochiOn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA Standard for Unified Content Descriptors document describes the current understanding of the IVOA controlled vocabulary for describing astronomical data quantities, called Unified Content Descriptors (UCDs). The present document defines a new standard (named UCD1+) improving the first generation of UCDs (UCD1). The basic idea is to adopt a new syntax and vocabulary requiring little effort for people to adapt software already using UCD1. This document also addresses the questions of maintenance and evolution of the UCD1+. Examples of use cases within the Virtual Observatory and tools for using UCD1+ are also described.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11462}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2964,"pubmed_id":null,"title":"An IVOA Standard for Unified Content Descriptors Version 1.10","year":2005,"url":"http://dx.doi.org/10.5479/ADS/bib/2005ivoa.spec.0819D","authors":"Derriere, Sébastien; Preite Martinez, Andrea; Williams, Roy; Gray, Norman; Mann, Robert; McDowell, Jonathan; Mc Glynn, Thomas; Ochsenbein, François; Osuna, Pedro; Rixon, Guy","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.258Z","updated_at":"2021-09-30T08:28:05.258Z"}],"licence_links":[],"grants":[{"id":6173,"fairsharing_record_id":780,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:51.256Z","updated_at":"2021-09-30T09:27:51.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6174,"fairsharing_record_id":780,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:27:51.297Z","updated_at":"2021-09-30T09:27:51.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"784","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T10:18:24.000Z","updated_at":"2022-12-14T08:18:43.697Z","metadata":{"doi":"10.25504/FAIRsharing.ZZZvAw","name":"Units in the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOUnits/index.html","citations":[{"publication_id":2963}],"identifier":784,"description":"VOUnits is a recommended syntax for writing the string representation of unit labels. In addition, it describes a set of recognised and deprecated units, which is as far as possible consistent with other relevant standards (BIPM, ISO/IEC and the IAU). The intention is that units written to conform to this specification will likely also be parsable by other well-known parsers. To this end, we include machine-readable grammars for other units syntaxes.","abbreviation":"VOUnits","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOUnitsNext","name":"VOUnits Next Steps (Wiki)","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-001204","bsg-s001204"],"name":"FAIRsharing record for: Units in the Virtual Observatory","abbreviation":"VOUnits","url":"https://fairsharing.org/10.25504/FAIRsharing.ZZZvAw","doi":"10.25504/FAIRsharing.ZZZvAw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOUnits is a recommended syntax for writing the string representation of unit labels. In addition, it describes a set of recognised and deprecated units, which is as far as possible consistent with other relevant standards (BIPM, ISO/IEC and the IAU). The intention is that units written to conform to this specification will likely also be parsable by other well-known parsers. To this end, we include machine-readable grammars for other units syntaxes.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11483}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":["Unit"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2963,"pubmed_id":null,"title":"Units in the VO Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.0523D","authors":"Derriere, Sebastien; Gray, Norman; Demleitner, Markus; Louys, Mireille; Ochsenbein, Francois","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.142Z","updated_at":"2021-09-30T08:28:05.142Z"}],"licence_links":[],"grants":[{"id":6184,"fairsharing_record_id":784,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:51.642Z","updated_at":"2021-09-30T09:27:51.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6185,"fairsharing_record_id":784,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:27:51.668Z","updated_at":"2021-09-30T09:27:51.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"785","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-14T17:03:57.331Z","metadata":{"doi":"10.25504/FAIRsharing.jpxsv1","name":"Microbial Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"shuichi.kawashima@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MPO","citations":[],"identifier":785,"description":"An ontology for describing microbial phenotypes","abbreviation":"MPO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MPO","name":"MPO","portal":"BioPortal"}]},"legacy_ids":["bsg-000904","bsg-s000904"],"name":"FAIRsharing record for: Microbial Phenotype Ontology","abbreviation":"MPO","url":"https://fairsharing.org/10.25504/FAIRsharing.jpxsv1","doi":"10.25504/FAIRsharing.jpxsv1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing microbial phenotypes","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Microbiology"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"787","type":"fairsharing_records","attributes":{"created_at":"2020-04-27T13:50:43.000Z","updated_at":"2022-07-20T11:19:05.382Z","metadata":{"doi":"10.25504/FAIRsharing.eff3b2","name":"Global Genome Biodiversity Network Data Standard","status":"ready","contacts":[{"contact_name":"G. Droege","contact_email":"g.droege@bgbm.org"}],"homepage":"https://wiki.ggbn.org/ggbn/GGBN_Data_Standard","citations":[{"doi":"10.1093/database/baw125","pubmed_id":27694206,"publication_id":2904}],"identifier":787,"description":"The GGBN Data Standard is a set of terms and controlled vocabularies designed to represent sample facts. It does not cover e.g., scientific name, geography, or physiological facts. This allows combining the GGBN Data Standard with other complementary standards, such as DwC, ABCD or MIxS. Potentially, the standard can be used not only for non-human genomic samples but also human samples. It builds upon existing standards commonly used within the communities extending them with the capability to exchange data on tissue, environmental and DNA sample as well as sequences. The GGBN Data Standard is intended to be used with ABCD or Darwin Core and is not a stand-alone solution. It is intended to replace the DNA extension for Access to Biological Collection Data (ABCDDNA), however that specification has not been formally deprecated.","abbreviation":"GGBN","support_links":[{"url":"https://www.tdwg.org/standards/ggbn/","name":"TDWG GGBN Page","type":"Help documentation"},{"url":"https://terms.tdwg.org/wiki/GGBN_Data_Standard","name":"GGBN: Discussions and Updates","type":"Help documentation"},{"url":"https://wiki.ggbn.org/ggbn/Mandatory_and_recommended_fields_for_sharing_data_with_GGBN","name":"Mandatory and Recommended Fields","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001472","bsg-s001472"],"name":"FAIRsharing record for: Global Genome Biodiversity Network Data Standard","abbreviation":"GGBN","url":"https://fairsharing.org/10.25504/FAIRsharing.eff3b2","doi":"10.25504/FAIRsharing.eff3b2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GGBN Data Standard is a set of terms and controlled vocabularies designed to represent sample facts. It does not cover e.g., scientific name, geography, or physiological facts. This allows combining the GGBN Data Standard with other complementary standards, such as DwC, ABCD or MIxS. Potentially, the standard can be used not only for non-human genomic samples but also human samples. It builds upon existing standards commonly used within the communities extending them with the capability to exchange data on tissue, environmental and DNA sample as well as sequences. The GGBN Data Standard is intended to be used with ABCD or Darwin Core and is not a stand-alone solution. It is intended to replace the DNA extension for Access to Biological Collection Data (ABCDDNA), however that specification has not been formally deprecated.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12284},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12289},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12558},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14018},{"linking_record_name":"Biological Collection Access Service","linking_record_id":4209,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14915},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16034}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Biodiversity"],"domains":["Biological sample annotation","Biological sample","Genome","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2904,"pubmed_id":27694206,"title":"The Global Genome Biodiversity Network (GGBN) Data Standard specification.","year":2016,"url":"http://doi.org/10.1093/database/baw125","authors":"Droege G,Barker K,Seberg O,Coddington J,Benson E,Berendsohn WG,Bunk B,Butler C,Cawsey EM,Deck J,Doring M,Flemons P,Gemeinholzer B,Guntsch A,Hollowell T,Kelbert P,Kostadinov I,Kottmann R,Lawlor RT,Lyal C,Mackenzie-Dodds J,Meyer C,Mulcahy D,Nussbeck SY,O'Tuama E,Orrell T,Petersen G,Robertson T,Sohngen C,Whitacre J,Wieczorek J,Yilmaz P,Zetzsche H,Zhang Y,Zhou X","journal":"Database (Oxford)","doi":"10.1093/database/baw125","created_at":"2021-09-30T08:27:57.599Z","updated_at":"2021-09-30T08:27:57.599Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":775,"relation":"undefined"}],"grants":[{"id":8804,"fairsharing_record_id":787,"organisation_id":302,"relation":"associated_with","created_at":"2022-02-10T10:53:49.102Z","updated_at":"2022-02-10T10:53:49.102Z","grant_id":null,"is_lead":false,"saved_state":{"id":302,"name":"Botanic Garden and Botanical Museum Berlin-Dahlem (BGBM), Germany","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":6186,"fairsharing_record_id":787,"organisation_id":1172,"relation":"maintains","created_at":"2021-09-30T09:27:51.697Z","updated_at":"2021-09-30T09:27:51.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":1172,"name":"Global Genome Biodiversity Network (GGBN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"788","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-14T17:18:49.654Z","metadata":{"doi":"10.25504/FAIRsharing.4yrcbc","name":"FISH Archaeological Sciences Thesaurus","status":"ready","contacts":[{"contact_name":"Michelle","contact_email":"futo@stanford.edu"}],"homepage":"http://heritagedata.org/live/schemes/560.html","citations":[],"identifier":788,"description":"Terminology used for recording the techniques, recovery methods and materials associated with archaeological sciences. Maintained by Historic England on behalf of the FISH Terminology Working Group.","abbreviation":"FISH-AST","support_links":[],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FISH-AST","name":"FISH-AST","portal":"BioPortal"}]},"legacy_ids":["bsg-000906","bsg-s000906"],"name":"FAIRsharing record for: FISH Archaeological Sciences Thesaurus","abbreviation":"FISH-AST","url":"https://fairsharing.org/10.25504/FAIRsharing.4yrcbc","doi":"10.25504/FAIRsharing.4yrcbc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology used for recording the techniques, recovery methods and materials associated with archaeological sciences. Maintained by Historic England on behalf of the FISH Terminology Working Group.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Archaeology","Mineralogy"],"domains":["Microscopy"],"taxonomies":["All"],"user_defined_tags":["Soil pH"],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":3125,"relation":"applies_to_content"}],"grants":[{"id":10412,"fairsharing_record_id":788,"organisation_id":1251,"relation":"maintains","created_at":"2023-03-14T17:13:26.035Z","updated_at":"2023-03-14T17:15:15.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":1251,"name":"Historic England, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"789","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T13:18:59.000Z","updated_at":"2022-07-20T11:16:10.366Z","metadata":{"doi":"10.25504/FAIRsharing.XuvIC0","name":"Open Provenance Model for Workflows Ontology","status":"ready","contacts":[{"contact_name":"Daniel Garijo","contact_email":"dgarijo@isi.edu"}],"homepage":"https://www.opmw.org/","identifier":789,"description":"OPMW is an ontology for describing workflows based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). Since the publication of the PROV-O standard, the ontology also extends the W3C recommendation. The OPMW profile was originally created as an extension of OPM to represent abstract workflows in addition to workflow execution traces. This requirement was motivated by the goal of publishing workflows of scientific articles.","abbreviation":"OPMW-PROV","support_links":[{"url":"gil@isi.edu","name":"Yolanda Gil","type":"Support email"},{"url":"https://www.opmw.org/model/OPMW/","name":"Specification","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001435","bsg-s001435"],"name":"FAIRsharing record for: Open Provenance Model for Workflows Ontology","abbreviation":"OPMW-PROV","url":"https://fairsharing.org/10.25504/FAIRsharing.XuvIC0","doi":"10.25504/FAIRsharing.XuvIC0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OPMW is an ontology for describing workflows based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). Since the publication of the PROV-O standard, the ontology also extends the W3C recommendation. The OPMW profile was originally created as an extension of OPM to represent abstract workflows in addition to workflow execution traces. This requirement was motivated by the goal of publishing workflows of scientific articles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6187,"fairsharing_record_id":789,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:27:51.736Z","updated_at":"2021-09-30T09:27:51.736Z","grant_id":null,"is_lead":true,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"802","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2023-03-14T16:38:50.245Z","metadata":{"doi":"10.25504/FAIRsharing.a4ww64","name":"The Ecosystem Ontology","status":"ready","contacts":[{"contact_name":"Bryce Mecum","contact_email":"mecum@nceas.ucsb.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/ECSO","citations":[],"identifier":802,"description":"DataONE ontology of Carbon Flux measurements for MsTMIP and LTER Use Cases","abbreviation":"ECSO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ECSO","name":"ECSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000924","bsg-s000924"],"name":"FAIRsharing record for: The Ecosystem Ontology","abbreviation":"ECSO","url":"https://fairsharing.org/10.25504/FAIRsharing.a4ww64","doi":"10.25504/FAIRsharing.a4ww64","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DataONE ontology of Carbon Flux measurements for MsTMIP and LTER Use Cases","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10408,"fairsharing_record_id":802,"organisation_id":3036,"relation":"undefined","created_at":"2023-03-14T16:38:39.594Z","updated_at":"2023-03-14T16:38:39.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":3036,"name":"University of California Santa Barbara, CA","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"804","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-02-21T10:35:49.537Z","metadata":{"doi":"10.25504/FAIRsharing.c6vhm3","name":"Human Developmental Stages Ontology","status":"ready","contacts":[{"contact_name":"Frédéric Bastian","contact_email":"frederic.bastian@unil.ch","contact_orcid":null}],"homepage":"https://obofoundry.org/ontology/hsapdv.html","citations":[],"identifier":804,"description":"Life cycle stages for Human. HsapDv was developed by the Bgee group with assistance from the core Uberon developers and the Human developmental anatomy ontology (EHDAA2) developers. Currently it includes both embryonic (Carnegie) stages and adult stages.","abbreviation":"HSAPDV","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies/wiki/HsapDv","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HSAPDV","name":"HSAPDV in BioPortal","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/hsapdv.html","name":"hsapdv in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001074","bsg-s001074"],"name":"FAIRsharing record for: Human Developmental Stages Ontology","abbreviation":"HSAPDV","url":"https://fairsharing.org/10.25504/FAIRsharing.c6vhm3","doi":"10.25504/FAIRsharing.c6vhm3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Human. HsapDv was developed by the Bgee group with assistance from the core Uberon developers and the Human developmental anatomy ontology (EHDAA2) developers. Currently it includes both embryonic (Carnegie) stages and adult stages.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":3099,"relation":"applies_to_content"}],"grants":[{"id":10370,"fairsharing_record_id":804,"organisation_id":3597,"relation":"maintains","created_at":"2023-02-21T10:14:15.514Z","updated_at":"2023-02-21T10:14:15.514Z","grant_id":null,"is_lead":true,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"805","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2021-12-08T11:27:06.820Z","metadata":{"doi":"10.25504/FAIRsharing.rnckxp","name":"Biodiversity Ontology","status":"deprecated","contacts":[{"contact_name":"Franco","contact_email":"francolamping@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/BOF","citations":[],"identifier":805,"description":"An ontology of biodiversity of INPA, available via BioPortal.","abbreviation":"BOF","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BOF","name":"BOF","portal":"BioPortal"}],"deprecation_date":"2021-12-07","deprecation_reason":"This resource has not been updated in BioPortal, and no homepage for the resource can be found. Please let us know if you have any information about this resource."},"legacy_ids":["bsg-001076","bsg-s001076"],"name":"FAIRsharing record for: Biodiversity Ontology","abbreviation":"BOF","url":"https://fairsharing.org/10.25504/FAIRsharing.rnckxp","doi":"10.25504/FAIRsharing.rnckxp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of biodiversity of INPA, available via BioPortal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"807","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-03-13T09:23:11.748Z","metadata":{"doi":"10.25504/FAIRsharing.szexty","name":"insectH","status":"ready","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/INSECTH","citations":[],"identifier":807,"description":"NeuroMorpho.Org insect brain regions ontology is compiled to create data annotation standard for depositing insect data. Currently at v6.2, NeuroMorpho.Org hosts over 17k neuronal reconstructions mostly from the fly. The insect ontology follows the standard nomenclature of the insect brain (Ito et al., 2013) and the virtualfly.org.","abbreviation":"INSECTH","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/INSECTH","name":"INSECTH","portal":"BioPortal"}]},"legacy_ids":["bsg-001079","bsg-s001079"],"name":"FAIRsharing record for: insectH","abbreviation":"INSECTH","url":"https://fairsharing.org/10.25504/FAIRsharing.szexty","doi":"10.25504/FAIRsharing.szexty","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeuroMorpho.Org insect brain regions ontology is compiled to create data annotation standard for depositing insect data. Currently at v6.2, NeuroMorpho.Org hosts over 17k neuronal reconstructions mostly from the fly. The insect ontology follows the standard nomenclature of the insect brain (Ito et al., 2013) and the virtualfly.org.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Entomology"],"domains":[],"taxonomies":["All","Insecta"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"808","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-03-16T18:12:22.719Z","metadata":{"doi":"10.25504/FAIRsharing.k008w7","name":"Human Dermatological Disease Ontology","status":"ready","contacts":[{"contact_name":"Paul Schofield","contact_email":"pns12@cam.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/DERMO","citations":[{"doi":"10.1186/s13326-016-0085-x","pubmed_id":27296450,"publication_id":3798}],"identifier":808,"description":"DermO is an Ontology of cutaneous disease, constructed manually by domain experts. With more than 3000 terms, DermO represents the most comprehensive formal dermatological disease terminology available. The disease entities are categorized in 20 upper level terms, which use a variety of features such as anatomical location, heritability, affected cell or tissue type, or etiology, as the features for classification, in line with professional practice and nosology in dermatology.","abbreviation":"DERMO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DERMO","name":"DERMO","portal":"BioPortal"}]},"legacy_ids":["bsg-001082","bsg-s001082"],"name":"FAIRsharing record for: Human Dermatological Disease Ontology","abbreviation":"DERMO","url":"https://fairsharing.org/10.25504/FAIRsharing.k008w7","doi":"10.25504/FAIRsharing.k008w7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DermO is an Ontology of cutaneous disease, constructed manually by domain experts. With more than 3000 terms, DermO represents the most comprehensive formal dermatological disease terminology available. The disease entities are categorized in 20 upper level terms, which use a variety of features such as anatomical location, heritability, affected cell or tissue type, or etiology, as the features for classification, in line with professional practice and nosology in dermatology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Dermatology"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[{"id":3798,"pubmed_id":27296450,"title":"DermO; an ontology for the description of dermatologic disease.","year":2016,"url":"https://doi.org/10.1186/s13326-016-0085-x","authors":"Fisher HM, Hoehndorf R, Bazelato BS, Dadras SS, King LE Jr, Gkoutos GV, Sundberg JP, Schofield PN","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-016-0085-x","created_at":"2023-03-16T06:57:32.387Z","updated_at":"2023-03-16T06:57:32.387Z"}],"licence_links":[],"grants":[{"id":10419,"fairsharing_record_id":808,"organisation_id":349,"relation":"undefined","created_at":"2023-03-16T06:56:29.916Z","updated_at":"2023-03-16T06:56:29.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":349,"name":"Cambridge Institute for Medical Research, University of Cambridge","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"810","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:54:05.022Z","metadata":{"doi":"10.25504/FAIRsharing.6xfgaq","name":"VIVO Ontology","status":"ready","contacts":[{"contact_name":"Mike Conlon","contact_email":"mconlon@ufl.edu"}],"homepage":"https://wiki.lyrasis.org/display/VIVODOC111x/Ontology+Reference","identifier":810,"description":"The VIVO Ontology provides a set of concepts to represent researchers and the full context in which they work. It is used as part of the VIVO project, which uses a collection of ontologies to represent scholarship.","abbreviation":"VIVO","support_links":[{"url":"info@lyrasis.org","name":"General Information Contact","type":"Support email"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/VIVO+Ontology+Domain+Definition","name":"Ontology Domain Information","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/Source+ontologies+for+VIVO","name":"Source Ontologies","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/VIVO+Classes","name":"About VIVO Classes","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/VIVO+Object+Properties","name":"About VIVO Object Properties","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VIVO","name":"VIVO","portal":"BioPortal"}]},"legacy_ids":["bsg-000921","bsg-s000921"],"name":"FAIRsharing record for: VIVO Ontology","abbreviation":"VIVO","url":"https://fairsharing.org/10.25504/FAIRsharing.6xfgaq","doi":"10.25504/FAIRsharing.6xfgaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VIVO Ontology provides a set of concepts to represent researchers and the full context in which they work. It is used as part of the VIVO project, which uses a collection of ontologies to represent scholarship.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science"],"domains":["Resource metadata","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":508,"relation":"undefined"}],"grants":[{"id":6198,"fairsharing_record_id":810,"organisation_id":3194,"relation":"maintains","created_at":"2021-09-30T09:27:52.166Z","updated_at":"2021-09-30T09:27:52.166Z","grant_id":null,"is_lead":true,"saved_state":{"id":3194,"name":"VIVO Ontology Interest Group, VIVO Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6199,"fairsharing_record_id":810,"organisation_id":1738,"relation":"maintains","created_at":"2021-09-30T09:27:52.207Z","updated_at":"2021-09-30T09:27:52.207Z","grant_id":null,"is_lead":false,"saved_state":{"id":1738,"name":"Lyrasis, Atlanta, GA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"781","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:51:42.093Z","metadata":{"doi":"10.25504/FAIRsharing.rf4pmz","name":"Ontology for Systems Chemical Biology and Chemogenomics","status":"deprecated","contacts":[{"contact_name":"Bin Chen","contact_email":"binchen@indiana.edu"}],"homepage":"http://cheminfov.informatics.indiana.edu:8080/c2b2r/","citations":[],"identifier":781,"description":"Chem2Bio2RDF has been created by aggregating data from multiple chemogenomics repositories and is cross-linked into Bio2RDF and LODD. There is also a linked-path generation tool to facilitate SPARQL query generation, and have created extended SPARQL functions to address specific chemical/biological search needs. Chem2Bio2RDF can be used to investigate polypharmacology, identification of potential multiple pathway inhibitors, and the association of pathways with adverse drug reactions. ","abbreviation":"Chem2Bio2RDF","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEMBIO","name":"CHEMBIO","portal":"BioPortal"}],"deprecation_date":"2022-01-13","deprecation_reason":"Most of the resource links, including those offering download of the terminology, are no longer valid, and the listed contact email address no longer exists."},"legacy_ids":["bsg-002721","bsg-s002721"],"name":"FAIRsharing record for: Ontology for Systems Chemical Biology and Chemogenomics","abbreviation":"Chem2Bio2RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.rf4pmz","doi":"10.25504/FAIRsharing.rf4pmz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chem2Bio2RDF has been created by aggregating data from multiple chemogenomics repositories and is cross-linked into Bio2RDF and LODD. There is also a linked-path generation tool to facilitate SPARQL query generation, and have created extended SPARQL functions to address specific chemical/biological search needs. Chem2Bio2RDF can be used to investigate polypharmacology, identification of potential multiple pathway inhibitors, and the association of pathways with adverse drug reactions. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Chemogenomics"],"countries":["United States"],"publications":[{"id":910,"pubmed_id":20478034,"title":"Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-255","authors":"Chen B,Dong X,Jiao D,Wang H,Zhu Q,Ding Y,Wild DJ","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-255","created_at":"2021-09-30T08:24:00.509Z","updated_at":"2021-09-30T08:24:00.509Z"}],"licence_links":[],"grants":[{"id":6175,"fairsharing_record_id":781,"organisation_id":1327,"relation":"maintains","created_at":"2021-09-30T09:27:51.335Z","updated_at":"2021-09-30T09:27:51.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"782","type":"fairsharing_records","attributes":{"created_at":"2020-05-26T14:46:03.000Z","updated_at":"2023-06-20T10:03:47.565Z","metadata":{"doi":"10.25504/FAIRsharing.4ed3fb","name":"Joint Evaluated Fission and Fusion Nuclear Data Library","status":"ready","contacts":[{"contact_name":"Franco Michel-Sendis","contact_email":"franco.michel-sendis@oecd.org"}],"homepage":"https://www.oecd-nea.org/dbdata/jeff/","citations":[],"identifier":782,"description":"The JEFF suite of nuclear data libraries contains a number of different data types, including neutron and proton interaction data, radioactive decay data, fission yields data, and thermal scattering law data.","abbreviation":"JEFF","support_links":[{"url":"https://www.oecd-nea.org/dbdata/jeff/feedback/feedback.html","name":"Feedback","type":"Help documentation"},{"url":"http://www.oecd-nea.org/dbdata/nds_jefreports/","name":"JEFF reports","type":"Help documentation"},{"url":"http://www.oecd-nea.org/dbdata/jeff/jeffdoc.html","name":"JEFF documents","type":"Help documentation"}],"year_creation":1982,"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010753","name":"re3data:r3d100010753","portal":"re3data"}]},"legacy_ids":["bsg-001485","bsg-s001485"],"name":"FAIRsharing record for: Joint Evaluated Fission and Fusion Nuclear Data Library","abbreviation":"JEFF","url":"https://fairsharing.org/10.25504/FAIRsharing.4ed3fb","doi":"10.25504/FAIRsharing.4ed3fb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JEFF suite of nuclear data libraries contains a number of different data types, including neutron and proton interaction data, radioactive decay data, fission yields data, and thermal scattering law data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Virology","Physics","Epidemiology"],"domains":["Proton"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19","Neutron Science","Nuclear data"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":6176,"fairsharing_record_id":782,"organisation_id":2201,"relation":"maintains","created_at":"2021-09-30T09:27:51.368Z","updated_at":"2021-09-30T09:27:51.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":2201,"name":"Nuclear Energy Agency, Paris, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"783","type":"fairsharing_records","attributes":{"created_at":"2015-07-20T11:00:38.000Z","updated_at":"2022-07-20T12:21:53.914Z","metadata":{"doi":"10.25504/FAIRsharing.zgqy0v","name":"Case Reports","status":"ready","contacts":[{"contact_name":"David Riley","contact_email":"dsrileymd@me.com"}],"homepage":"https://www.care-statement.org/","identifier":783,"description":"The CARE guidelines provide a framework that supports transparency and accuracy in the publication of case reports and the reporting of information from patient encounters. The publication of case reports following the CARE guidelines will provide practice-based data on interventions and outcomes that can be compared across therapeutic interventions and inform clinical practice guidelines.","abbreviation":"CARE","support_links":[{"url":"https://www.care-statement.org/case-reports","type":"Help documentation"},{"url":"http://www.care-statement.org/resources/checklist","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000601","bsg-s000601"],"name":"FAIRsharing record for: Case Reports","abbreviation":"CARE","url":"https://fairsharing.org/10.25504/FAIRsharing.zgqy0v","doi":"10.25504/FAIRsharing.zgqy0v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CARE guidelines provide a framework that supports transparency and accuracy in the publication of case reports and the reporting of information from patient encounters. The publication of case reports following the CARE guidelines will provide practice-based data on interventions and outcomes that can be compared across therapeutic interventions and inform clinical practice guidelines.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12038},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12474}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":787,"pubmed_id":24035173,"title":"The CARE guidelines: consensus-based clinical case report guideline development.","year":2013,"url":"http://doi.org/10.1016/j.jclinepi.2013.08.003","authors":"Gagnier JJ,Kienle G,Altman DG,Moher D,Sox H,Riley D","journal":"J Clin Epidemiol","doi":"10.1016/j.jclinepi.2013.08.003","created_at":"2021-09-30T08:23:46.753Z","updated_at":"2021-09-30T08:23:46.753Z"},{"id":2395,"pubmed_id":28529185,"title":"CARE guidelines for case reports: explanation and elaboration document.","year":2017,"url":"http://doi.org/S0895-4356(17)30037-9","authors":"Riley DS,Barber MS,Kienle GS,Aronson JK,von Schoen-Angerer T,Tugwell P,Kiene H,Helfand M,Altman DG,Sox H,Werthmann PG,Moher D,Rison RA,Shamseer L,Koch CA,Sun GH,Hanaway P,Sudak NL,Kaszkin-Bettag M,Carpenter JE,Gagnier JJ","journal":"J Clin Epidemiol","doi":"S0895-4356(17)30037-9","created_at":"2021-09-30T08:26:54.135Z","updated_at":"2021-09-30T08:26:54.135Z"}],"licence_links":[],"grants":[{"id":6179,"fairsharing_record_id":783,"organisation_id":3095,"relation":"funds","created_at":"2021-09-30T09:27:51.464Z","updated_at":"2021-09-30T09:27:51.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6181,"fairsharing_record_id":783,"organisation_id":754,"relation":"maintains","created_at":"2021-09-30T09:27:51.548Z","updated_at":"2021-09-30T09:27:51.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":754,"name":"Deutsches Arzteblatt, Cologne, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6177,"fairsharing_record_id":783,"organisation_id":732,"relation":"funds","created_at":"2021-09-30T09:27:51.392Z","updated_at":"2021-09-30T09:27:51.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":732,"name":"Department of Orthopedic Surgery, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6182,"fairsharing_record_id":783,"organisation_id":2280,"relation":"maintains","created_at":"2021-09-30T09:27:51.586Z","updated_at":"2021-09-30T09:27:51.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Health Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6183,"fairsharing_record_id":783,"organisation_id":1462,"relation":"maintains","created_at":"2021-09-30T09:27:51.618Z","updated_at":"2021-09-30T09:27:51.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":1462,"name":"Integrative Medicine Institute (IMI), Portland, OR, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6178,"fairsharing_record_id":783,"organisation_id":1163,"relation":"funds","created_at":"2021-09-30T09:27:51.423Z","updated_at":"2021-09-30T09:30:09.496Z","grant_id":577,"is_lead":false,"saved_state":{"id":1163,"name":"Global Advances in Health and Medicine","grant":"201210-3","types":["Publisher"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1106","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-28T06:40:54.418Z","metadata":{"doi":"10.25504/FAIRsharing.ckrs1g","name":"Physician Data Query","status":"ready","contacts":[{"contact_name":"Volker Englisch","contact_email":"volker@mail.nih.gov"}],"homepage":"https://www.cancer.gov/publications/pdq","identifier":1106,"description":"Physician Data Query (PDQ) Terminology is part of NCI's comprehensive cancer information database, which contains expert summaries on a wide range of cancer topics, a listing of some 30,000 cancer clinical trials from around the world, a directory of genetics services professionals, the NCI Dictionary of Cancer Terms, and the NCI Drug Dictionary.","abbreviation":"PDQ","support_links":[{"url":"https://en.wikipedia.org/wiki/Physician_Data_Query","name":"Wikipedia","type":"Wikipedia"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDQ","name":"PDQ","portal":"BioPortal"}]},"legacy_ids":["bsg-002589","bsg-s002589"],"name":"FAIRsharing record for: Physician Data Query","abbreviation":"PDQ","url":"https://fairsharing.org/10.25504/FAIRsharing.ckrs1g","doi":"10.25504/FAIRsharing.ckrs1g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Physician Data Query (PDQ) Terminology is part of NCI's comprehensive cancer information database, which contains expert summaries on a wide range of cancer topics, a listing of some 30,000 cancer clinical trials from around the world, a directory of genetics services professionals, the NCI Dictionary of Cancer Terms, and the NCI Drug Dictionary.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12447}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Medicine","Genetics","Health Science","Life Science","Pharmacogenomics","Biomedical Science"],"domains":["Drug","Cancer","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2267,"pubmed_id":null,"title":"PDQ (Physician Data Query) (February 2017)","year":2017,"url":"http://doi.org/10.1093/jnci/djx022","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djx022","created_at":"2021-09-30T08:26:36.105Z","updated_at":"2021-09-30T11:28:35.584Z"},{"id":2348,"pubmed_id":3079208,"title":"The Physician Data Query (PDQ) cancer information system.","year":1986,"url":"http://doi.org/10.1080/08858198609527818","authors":"Hubbard SM,Martin NB,Blankenbaker LW,Esterhay RJ Jr,Masys DR,Tingley DE,Stram MC,DeVita VT Jr","journal":"J Cancer Educ","doi":"10.1080/08858198609527818","created_at":"2021-09-30T08:26:48.543Z","updated_at":"2021-09-30T08:26:48.543Z"},{"id":2349,"pubmed_id":1804524,"title":"The PDQ (Physician Data Query), the cancer database, in oncological clinical practice.","year":1991,"url":"http://doi.org/10.1016/0305-7372(91)90010-w","authors":"Fare C,Ugolini D","journal":"Cancer Treat Rev","doi":"10.1016/0305-7372(91)90010-w","created_at":"2021-09-30T08:26:48.709Z","updated_at":"2021-09-30T08:26:48.709Z"},{"id":2350,"pubmed_id":22271770,"title":"Physician data query (PDQ(R)) update (February 2012)","year":2012,"url":"http://doi.org/10.1093/jnci/djs025","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djs025","created_at":"2021-09-30T08:26:48.816Z","updated_at":"2021-09-30T11:28:34.827Z"},{"id":2351,"pubmed_id":22517987,"title":"Physician Data Query (PDQ(R)) update (May 2012 )","year":2012,"url":"http://doi.org/10.1093/jnci/djs231","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djs231","created_at":"2021-09-30T08:26:48.975Z","updated_at":"2021-09-30T11:28:34.976Z"},{"id":2374,"pubmed_id":null,"title":"PDQ (Physician Data Query) (January 2017)","year":2017,"url":"http://doi.org/10.1093/jnci/djw336","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djw336","created_at":"2021-09-30T08:26:51.799Z","updated_at":"2021-09-30T11:28:35.343Z"},{"id":2376,"pubmed_id":null,"title":"PDQ (Physician Data Query) (March 2017)","year":2017,"url":"http://doi.org/10.1093/jnci/djx047","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djx047","created_at":"2021-09-30T08:26:52.015Z","updated_at":"2021-09-30T11:28:35.492Z"},{"id":2379,"pubmed_id":23996204,"title":"NCI's Physician Data Query (PDQ(R)) cancer information summaries: history, editorial processes, influence, and reach.","year":2013,"url":"http://doi.org/10.1007/s13187-013-0536-3","authors":"Manrow RE,Beckwith M,Johnson LE","journal":"J Cancer Educ","doi":"10.1007/s13187-013-0536-3","created_at":"2021-09-30T08:26:52.352Z","updated_at":"2021-09-30T08:26:52.352Z"}],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":29,"relation":"undefined"}],"grants":[{"id":6788,"fairsharing_record_id":1106,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:14.040Z","updated_at":"2021-09-30T09:28:14.040Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6787,"fairsharing_record_id":1106,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:28:14.017Z","updated_at":"2021-09-30T09:28:14.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1107","type":"fairsharing_records","attributes":{"created_at":"2017-04-12T21:10:57.000Z","updated_at":"2022-07-20T12:40:34.305Z","metadata":{"doi":"10.25504/FAIRsharing.37nbtc","name":"International HLA and Immunogenetics Workshop XML","status":"ready","contacts":[{"contact_name":"Steven J. Mack","contact_email":"sjmack@chori.org","contact_orcid":"0000-0001-9820-9547"}],"homepage":"https://github.com/IHIW/bioinformatics/tree/master/typing_report_formats/IHIW_XML","identifier":1107,"description":"International HLA and Immunogenetics Workshop XML (IHIW XML) is intended as a potentially general-purpose XML format for exchanging HLA genotyping data (HLA genotypes and associated consensus sequences) and associated meta-data generated using Next Generation Sequencing (NGS) methods. This format supports NGS based genotyping methods, phased and unphased consensus sequence data, registered methodologies, reference allele data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","abbreviation":"IHIW XML","year_creation":2016},"legacy_ids":["bsg-000700","bsg-s000700"],"name":"FAIRsharing record for: International HLA and Immunogenetics Workshop XML","abbreviation":"IHIW XML","url":"https://fairsharing.org/10.25504/FAIRsharing.37nbtc","doi":"10.25504/FAIRsharing.37nbtc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: International HLA and Immunogenetics Workshop XML (IHIW XML) is intended as a potentially general-purpose XML format for exchanging HLA genotyping data (HLA genotypes and associated consensus sequences) and associated meta-data generated using Next Generation Sequencing (NGS) methods. This format supports NGS based genotyping methods, phased and unphased consensus sequence data, registered methodologies, reference allele data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics"],"domains":["Next generation DNA sequencing","Human leukocyte antigen complex"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Immunogenomics"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6789,"fairsharing_record_id":1107,"organisation_id":1493,"relation":"maintains","created_at":"2021-09-30T09:28:14.066Z","updated_at":"2021-09-30T09:28:14.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":1493,"name":"International HLA and Immunogenetics Workshop","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6790,"fairsharing_record_id":1107,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:14.104Z","updated_at":"2021-09-30T09:30:19.151Z","grant_id":654,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI128775","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1108","type":"fairsharing_records","attributes":{"created_at":"2018-07-18T15:44:58.000Z","updated_at":"2024-04-24T08:57:45.663Z","metadata":{"doi":"10.25504/FAIRsharing.pDq8lX","name":"Hierarchical Editing Language for Macromolecules","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@openHELM.org"}],"homepage":"https://www.pistoiaalliance.org/helm-project/","citations":[],"identifier":1108,"description":"HELM (Hierarchical Editing Language for Macromolecules) enables the representation of a wide range of biomolecules (e.g. proteins, nucleotides, antibody drug conjugates) whose size and complexity render existing small-molecule and sequence-based informatics methodologies impractical or unusable. HELM solves this problem through a hierarchical notation that represents complex macromolecules as polymeric structures with support for unnatural components (e.g. unnatural amino acids) and chemical modifications.","abbreviation":"HELM","support_links":[{"url":"https://pistoiaalliance.atlassian.net/wiki/spaces/HELM/overview","name":"HELM Wiki","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Hierarchical_editing_language_for_macromolecules","name":"https://en.wikipedia.org/wiki/Hierarchical_editing_language_for_macromolecules","type":"Wikipedia"}],"year_creation":2013,"associated_tools":[{"url":"https://github.com/PistoiaHELM/HELMWebEditor","name":"HELM Web Editor"},{"url":"https://github.com/PistoiaHELM/HELMAntibodyEditor2","name":"HELM Antibody Editor"},{"url":"https://github.com/PistoiaHELM/HELM2NotationToolkit","name":"HELM2 Notation Toolkit"}]},"legacy_ids":["bsg-001222","bsg-s001222"],"name":"FAIRsharing record for: Hierarchical Editing Language for Macromolecules","abbreviation":"HELM","url":"https://fairsharing.org/10.25504/FAIRsharing.pDq8lX","doi":"10.25504/FAIRsharing.pDq8lX","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HELM (Hierarchical Editing Language for Macromolecules) enables the representation of a wide range of biomolecules (e.g. proteins, nucleotides, antibody drug conjugates) whose size and complexity render existing small-molecule and sequence-based informatics methodologies impractical or unusable. HELM solves this problem through a hierarchical notation that represents complex macromolecules as polymeric structures with support for unnatural components (e.g. unnatural amino acids) and chemical modifications.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11739}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Molecular biology","Cheminformatics","Biochemistry","Bioinformatics","Life Science"],"domains":["Molecular structure","Chemical structure","Molecular entity","Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Denmark","France","Germany","Hungary","Switzerland","United Kingdom","United States"],"publications":[{"id":2283,"pubmed_id":22947017,"title":"HELM: a hierarchical notation language for complex biomolecule structure representation.","year":2012,"url":"http://doi.org/10.1021/ci3001925","authors":"Zhang T,Li H,Xi H,Stanton RV,Rotstein SH","journal":"J Chem Inf Model","doi":"10.1021/ci3001925","created_at":"2021-09-30T08:26:38.161Z","updated_at":"2021-09-30T08:26:38.161Z"},{"id":2284,"pubmed_id":28471655,"title":"HELM Software for Biopolymers.","year":2017,"url":"http://doi.org/10.1021/acs.jcim.6b00442","authors":"Milton J,Zhang T,Bellamy C,Swayze E,Hart C,Weisser M,Hecht S,Rotstein S","journal":"J Chem Inf Model","doi":"10.1021/acs.jcim.6b00442","created_at":"2021-09-30T08:26:38.274Z","updated_at":"2021-09-30T08:26:38.274Z"}],"licence_links":[],"grants":[{"id":6791,"fairsharing_record_id":1108,"organisation_id":2327,"relation":"maintains","created_at":"2021-09-30T09:28:14.154Z","updated_at":"2024-04-24T08:39:03.404Z","grant_id":null,"is_lead":true,"saved_state":{"id":2327,"name":"Pistoia Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa3NFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--92389f1749ec62a8ac04d464969cb24642768f04/HELM_logo_small_rgb-300x120.png?disposition=inline","exhaustive_licences":false}},{"id":"1109","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:44.529Z","metadata":{"doi":"10.25504/FAIRsharing.7ky72t","name":"Natural Products Ontology","status":"deprecated","contacts":[{"contact_name":"Riza Theresa Batista-Navarro","contact_email":"batistar@cs.man.ac.uk","contact_orcid":"0000-0001-6693-7531"}],"homepage":"http://bioportal.bioontology.org/ontologies/3004","identifier":1109,"description":"An ontology for describing biological activities of natural products.","abbreviation":"NatPrO","deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002781","bsg-s002781"],"name":"FAIRsharing record for: Natural Products Ontology","abbreviation":"NatPrO","url":"https://fairsharing.org/10.25504/FAIRsharing.7ky72t","doi":"10.25504/FAIRsharing.7ky72t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing biological activities of natural products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6792,"fairsharing_record_id":1109,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:14.196Z","updated_at":"2021-09-30T09:28:14.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1110","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T14:21:48.000Z","updated_at":"2022-12-13T09:38:32.390Z","metadata":{"doi":"10.25504/FAIRsharing.daXv6l","name":"Astronomical Data Query Language","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/ADQL.html","citations":[],"identifier":1110,"description":"The Astronomical Data Query Language (ADQL) is the language used by the IVOA to represent astronomy queries posted to VO services. The IVOA has developed several standardized protocols to access astronomical data, e.g., Simple Image Access (SIA) protocol and Simple Spectral Access (SSA) protocol for image and spectral data respectively. These protocols might be satisfied using a single table query. However, different VO services have different needs in terms of query complexity and ADQL arises in this context. The ADQL specification makes no distinction between core and advanced or extended functionalities. Hence ADQL has been built according to a single Backus Naur Form (BNF) based language definition. Any service making use of ADQL would then define the level of compliancy to the language. This would allow the notion of core and extension to be service-driven and it would decouple the language from the service specifications. ADQL is based on the Structured Query Language (SQL), especially on SQL 92 1 2 3. . The VO has a number of tabular data sets and many of them are stored in relational databases, making SQL a convenient access means. A subset of the SQL grammar has been extended to support queries that are specific to astronomy. Similarly to SQL, the ADQL language definition is not semantically safe by design and therefore this specification defines syntactical correctness only. Type safety has been achieved as far as it can be done in SQL.","abbreviation":"ADQL","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/ADQL","name":"ADQL Wiki","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001152","bsg-s001152"],"name":"FAIRsharing record for: Astronomical Data Query Language","abbreviation":"ADQL","url":"https://fairsharing.org/10.25504/FAIRsharing.daXv6l","doi":"10.25504/FAIRsharing.daXv6l","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Astronomical Data Query Language (ADQL) is the language used by the IVOA to represent astronomy queries posted to VO services. The IVOA has developed several standardized protocols to access astronomical data, e.g., Simple Image Access (SIA) protocol and Simple Spectral Access (SSA) protocol for image and spectral data respectively. These protocols might be satisfied using a single table query. However, different VO services have different needs in terms of query complexity and ADQL arises in this context. The ADQL specification makes no distinction between core and advanced or extended functionalities. Hence ADQL has been built according to a single Backus Naur Form (BNF) based language definition. Any service making use of ADQL would then define the level of compliancy to the language. This would allow the notion of core and extension to be service-driven and it would decouple the language from the service specifications. ADQL is based on the Structured Query Language (SQL), especially on SQL 92 1 2 3. . The VO has a number of tabular data sets and many of them are stored in relational databases, making SQL a convenient access means. A subset of the SQL grammar has been extended to support queries that are specific to astronomy. Similarly to SQL, the ADQL language definition is not semantically safe by design and therefore this specification defines syntactical correctness only. Type safety has been achieved as far as it can be done in SQL.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11490}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2906,"pubmed_id":null,"title":"IVOA Astronomical Data Query Language Version 2.00","year":2008,"url":"http://dx.doi.org/10.5479/ADS/bib/2008ivoa.spec.1030O","authors":"Osuna, Pedro; Ortiz, Iñaki; Lusted, Jeff; Dowler, Pat; Szalay, Alexander; Shirasaki, Yuji; Nieto-Santisteban, Maria A.; Ohishi, Masatoshi; O'Mullane, William; VOQL-TEG Group; VOQL Working Group.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:57.841Z","updated_at":"2021-09-30T08:27:57.841Z"}],"licence_links":[],"grants":[{"id":6794,"fairsharing_record_id":1110,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:14.275Z","updated_at":"2021-09-30T09:28:14.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6793,"fairsharing_record_id":1110,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:14.238Z","updated_at":"2021-09-30T09:28:14.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1111","type":"fairsharing_records","attributes":{"created_at":"2020-09-17T15:09:58.000Z","updated_at":"2024-05-01T15:04:32.974Z","metadata":{"doi":"10.25504/FAIRsharing.wYScsE","name":"Minimum Information about Animal Toxicology Experiments","status":"ready","contacts":[{"contact_name":"Rance Nault","contact_email":"naultran@msu.edu","contact_orcid":"0000-0002-6822-4962"}],"homepage":"https://github.com/zacharewskilab/MIATE","citations":[],"identifier":1111,"description":"MIATE/invivo defines a minimum set of metadata requirements for an in vivo animal toxicology experiment and recommended ontologies. It is intended to standardize (meta)data collection for traditional in vivo toxicology study designs and promote the Findable, Accessible, Interoperable, Reusable (FAIR) principles for in vivo animal toxicology experiments. MIATE aims to be a community-driven set of minimal metadata requirements for animal toxicology experiments supported by a templates, protocols, and resources to enable collection of research data in a standardized manner. ","abbreviation":"MIATE","support_links":[{"url":"https://github.com/zacharewskilab/MIATE","name":"GitHub Repository","type":"Github"}],"year_creation":2020,"associated_tools":[{"url":"https://isa-tools.org/software-suite.html","name":"ISA Software Suite"}]},"legacy_ids":["bsg-001527","bsg-s001527"],"name":"FAIRsharing record for: Minimum Information about Animal Toxicology Experiments","abbreviation":"MIATE","url":"https://fairsharing.org/10.25504/FAIRsharing.wYScsE","doi":"10.25504/FAIRsharing.wYScsE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIATE/invivo defines a minimum set of metadata requirements for an in vivo animal toxicology experiment and recommended ontologies. It is intended to standardize (meta)data collection for traditional in vivo toxicology study designs and promote the Findable, Accessible, Interoperable, Reusable (FAIR) principles for in vivo animal toxicology experiments. MIATE aims to be a community-driven set of minimal metadata requirements for animal toxicology experiments supported by a templates, protocols, and resources to enable collection of research data in a standardized manner. ","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16652}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicology","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6796,"fairsharing_record_id":1111,"organisation_id":1830,"relation":"maintains","created_at":"2021-09-30T09:28:14.341Z","updated_at":"2021-09-30T09:28:14.341Z","grant_id":null,"is_lead":true,"saved_state":{"id":1830,"name":"Michigan State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6795,"fairsharing_record_id":1111,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:28:14.312Z","updated_at":"2021-09-30T09:29:24.476Z","grant_id":235,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","grant":"P42ES004911","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7895,"fairsharing_record_id":1111,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:29:31.699Z","updated_at":"2021-09-30T09:29:31.748Z","grant_id":285,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","grant":"P42ES023716","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8434,"fairsharing_record_id":1111,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:32:38.194Z","updated_at":"2021-09-30T09:32:38.246Z","grant_id":1711,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","grant":"P42ES007380","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1112","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T15:47:31.000Z","updated_at":"2023-03-22T14:44:05.247Z","metadata":{"doi":"10.25504/FAIRsharing.k3z4q9","name":"Common Information Model","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"es-doc-contact@list.woc.noaa.gov"}],"homepage":"https://www.earthsystemcog.org/projects/es-doc-models/cim","citations":[],"identifier":1112,"description":"This standard is used by the climate research community and others to describe the artefacts and processes they work with. This includes climate simulations, the specific model components used to run those simulations, the datasets generated by those components, the geographic grids upon which those components and data are mapped, the computing platforms used, and so on. A CIM document is an XML document and CIM is an evolving standard.","abbreviation":"CIM","deprecation_date":"2023-03-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n"},"legacy_ids":["bsg-000710","bsg-s000710"],"name":"FAIRsharing record for: Common Information Model","abbreviation":"CIM","url":"https://fairsharing.org/10.25504/FAIRsharing.k3z4q9","doi":"10.25504/FAIRsharing.k3z4q9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard is used by the climate research community and others to describe the artefacts and processes they work with. This includes climate simulations, the specific model components used to run those simulations, the datasets generated by those components, the geographic grids upon which those components and data are mapped, the computing platforms used, and so on. A CIM document is an XML document and CIM is an evolving standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science","Earth Science","Atmospheric Science"],"domains":["Resource metadata","Climate","Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6798,"fairsharing_record_id":1112,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:28:14.396Z","updated_at":"2021-09-30T09:28:14.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6801,"fairsharing_record_id":1112,"organisation_id":2056,"relation":"undefined","created_at":"2021-09-30T09:28:14.518Z","updated_at":"2021-09-30T09:28:14.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6797,"fairsharing_record_id":1112,"organisation_id":1348,"relation":"undefined","created_at":"2021-09-30T09:28:14.365Z","updated_at":"2021-09-30T09:28:14.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":1348,"name":"Infrastructure for the European Network for Earth System Modelling (IS-ENES)","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6799,"fairsharing_record_id":1112,"organisation_id":1945,"relation":"undefined","created_at":"2021-09-30T09:28:14.438Z","updated_at":"2021-09-30T09:28:14.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6800,"fairsharing_record_id":1112,"organisation_id":2071,"relation":"undefined","created_at":"2021-09-30T09:28:14.480Z","updated_at":"2021-09-30T09:28:14.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6802,"fairsharing_record_id":1112,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:28:14.555Z","updated_at":"2021-09-30T09:28:14.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1131","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T14:42:59.000Z","updated_at":"2022-12-21T14:57:05.497Z","metadata":{"doi":"10.25504/FAIRsharing.nPfuTE","name":"Neurodata Without Borders: Neurophysiology 2.0","status":"ready","contacts":[{"contact_name":"Benjamin Dichter","contact_email":"bdichter@lbl.gov","contact_orcid":"0000-0001-5725-6910"}],"homepage":"https://www.nwb.org/nwb-neurophysiology/","citations":[],"identifier":1131,"description":"Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 is a data standard for neurophysiology, that provideds neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB:N 2.0 is designed to store a variety of neurophysiology data, including from intracellular and extracellular electrophysiology experiments, optical physiology experiments, as well as tracking and stimulus data.","abbreviation":"NWB:N 2.0","support_links":[{"url":"https://www.nwb.org/contact-us/","name":"Contact","type":"Contact form"},{"url":"https://www.nwb.org","name":"Neurodata Without Borders","type":"Help documentation"},{"url":"https://pynwb.readthedocs.io/en/stable/contributing.html","name":"Contributing to NWB","type":"Help documentation"},{"url":"https://www.nwb.org/2019/02/26/nwbn-2-0-final-released/","name":"NWB:N 2.0 Release Info","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001460","bsg-s001460"],"name":"FAIRsharing record for: Neurodata Without Borders: Neurophysiology 2.0","abbreviation":"NWB:N 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.nPfuTE","doi":"10.25504/FAIRsharing.nPfuTE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 is a data standard for neurophysiology, that provideds neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB:N 2.0 is designed to store a variety of neurophysiology data, including from intracellular and extracellular electrophysiology experiments, optical physiology experiments, as well as tracking and stimulus data.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17032},{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12389}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurophysiology","Cognitive Neuroscience","Neuroscience","Electrophysiology"],"domains":["Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2889,"pubmed_id":26590340,"title":"Neurodata Without Borders: Creating a Common Data Format for Neurophysiology.","year":2015,"url":"http://doi.org/10.1016/j.neuron.2015.10.025","authors":"Teeters JL,Godfrey K,Young R,Dang C,Friedsam C,Wark B,Asari H,Peron S,Li N,Peyrache A,Denisov G,Siegle JH,Olsen SR,Martin C,Chun M,Tripathy S,Blanche TJ,Harris K,Buzsaki G,Koch C,Meister M,Svoboda K,Sommer FT","journal":"Neuron","doi":"10.1016/j.neuron.2015.10.025","created_at":"2021-09-30T08:27:55.758Z","updated_at":"2021-09-30T08:27:55.758Z"},{"id":2890,"pubmed_id":null,"title":"NWB:N 2.0: An Accessible Data Standard for Neurophysiology","year":2019,"url":"https://doi.org/10.1101/523035","authors":"Oliver Rübel, Andrew Tritt, Benjamin Dichter, Thomas Braun, Nicholas Cain, Nathan Clack, Thomas J. Davidson, Max Dougherty, Jean-Christophe Fillion-Robin, Nile Graddis, Michael Grauer, Justin T. Kiggins, Lawrence Niu, Doruk Ozturk, William Schroeder, Ivan Soltesz, Friedrich T. Sommer, Karel Svoboda, Ng Lydia, Loren M. Frank, Kristofer Bouchard","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:27:55.866Z","updated_at":"2021-09-30T11:28:40.386Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1383,"relation":"undefined"}],"grants":[{"id":6838,"fairsharing_record_id":1131,"organisation_id":1321,"relation":"funds","created_at":"2021-09-30T09:28:15.881Z","updated_at":"2021-09-30T09:28:15.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6841,"fairsharing_record_id":1131,"organisation_id":2794,"relation":"funds","created_at":"2021-09-30T09:28:15.989Z","updated_at":"2021-09-30T09:28:15.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":2794,"name":"The Kavli Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6840,"fairsharing_record_id":1131,"organisation_id":2570,"relation":"funds","created_at":"2021-09-30T09:28:15.951Z","updated_at":"2021-09-30T09:28:15.951Z","grant_id":null,"is_lead":false,"saved_state":{"id":2570,"name":"Simons Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6842,"fairsharing_record_id":1131,"organisation_id":60,"relation":"maintains","created_at":"2021-09-30T09:28:16.028Z","updated_at":"2021-09-30T09:28:16.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":60,"name":"Allen Institute for Brain Science, Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6843,"fairsharing_record_id":1131,"organisation_id":1243,"relation":"maintains","created_at":"2021-09-30T09:28:16.065Z","updated_at":"2021-09-30T09:28:16.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1243,"name":"HHMI Janelia Research Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9319,"fairsharing_record_id":1131,"organisation_id":1691,"relation":"maintains","created_at":"2022-04-11T12:07:30.070Z","updated_at":"2022-04-11T12:07:30.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1132","type":"fairsharing_records","attributes":{"created_at":"2018-06-15T14:50:18.000Z","updated_at":"2024-03-21T16:13:40.481Z","metadata":{"doi":"10.25504/FAIRsharing.jGj1ly","name":"IDG Cell Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":1132,"description":"Cultured cell reagent resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001217","bsg-s001217"],"name":"FAIRsharing record for: IDG Cell Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jGj1ly","doi":"10.25504/FAIRsharing.jGj1ly","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cultured cell reagent resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11703}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Peptide","Protein targeting","Antibody","Small molecule","Tissue"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6844,"fairsharing_record_id":1132,"organisation_id":1314,"relation":"maintains","created_at":"2021-09-30T09:28:16.102Z","updated_at":"2024-03-21T16:09:07.085Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11574,"fairsharing_record_id":1132,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:03.592Z","updated_at":"2024-03-21T13:59:03.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZzRFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--77a0d77d33d12ca3157931f33790bdd21c5c4958/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"1133","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:04:08.000Z","updated_at":"2023-06-02T15:16:32.563Z","metadata":{"doi":"10.25504/FAIRsharing.gt5K7W","name":"Vocabulary of Heat Transfers","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/1WB/en/","citations":[],"identifier":1133,"description":"Controlled vocabulary used for indexing bibliographical records dealing with “Classical Thermodynamics / Heat Transfers” in the PASCAL database (1972 à 2015). This vocabulary reflects the content of the indexed articles, including the experimental and/or theoretical context in which the heat transfer phenomena were studied. The resource is aligned with Rameau and LCSH. It consists of 1462 entries in 2 languages (English, French) grouped under 7 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001409","bsg-s001409"],"name":"FAIRsharing record for: Vocabulary of Heat Transfers","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.gt5K7W","doi":"10.25504/FAIRsharing.gt5K7W","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records dealing with “Classical Thermodynamics / Heat Transfers” in the PASCAL database (1972 à 2015). This vocabulary reflects the content of the indexed articles, including the experimental and/or theoretical context in which the heat transfer phenomena were studied. The resource is aligned with Rameau and LCSH. It consists of 1462 entries in 2 languages (English, French) grouped under 7 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11305}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Thermodynamics","Physical Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Heat transfers"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":596,"relation":"undefined"}],"grants":[{"id":6847,"fairsharing_record_id":1133,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.212Z","updated_at":"2021-09-30T09:28:16.212Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6846,"fairsharing_record_id":1133,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.173Z","updated_at":"2021-09-30T09:28:16.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1134","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T18:56:12.000Z","updated_at":"2024-03-21T16:13:37.544Z","metadata":{"doi":"10.25504/FAIRsharing.stYji6","name":"IDG Antibody Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":1134,"description":"Primary and secondary antibody resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001223","bsg-s001223"],"name":"FAIRsharing record for: IDG Antibody Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.stYji6","doi":"10.25504/FAIRsharing.stYji6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Primary and secondary antibody resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11705}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunology","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6848,"fairsharing_record_id":1134,"organisation_id":1314,"relation":"maintains","created_at":"2021-09-30T09:28:16.243Z","updated_at":"2024-03-21T16:12:02.219Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11575,"fairsharing_record_id":1134,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:03.818Z","updated_at":"2024-03-21T13:59:03.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6e0f954cd59a4abb0cf0d2c18557c761f3d016c2/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"1135","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:27.325Z","metadata":{"doi":"10.25504/FAIRsharing.v8sf83","name":"Standardization in Laboratory Automation Consortium","status":"ready","contacts":[{"contact_name":"Devon Johnston","contact_email":"devon.johnston@sila-standard.org"}],"homepage":"http://www.sila-standard.org/","identifier":1135,"description":"SiLA is a global not-for-profit consortium of laboratory automation users, device suppliers, and integrators. Its mission is to establish international standards which create open connectivity in lab automation. SiLA enables vendor-independent device control and data exchange, through standard instrument interfaces and common command dictionaries, as well as data capture and labware description file standards.","abbreviation":"SiLA","support_links":[{"url":"http://www.sila-standard.org/training/","type":"Training documentation"}]},"legacy_ids":["bsg-000544","bsg-s000544"],"name":"FAIRsharing record for: Standardization in Laboratory Automation Consortium","abbreviation":"SiLA","url":"https://fairsharing.org/10.25504/FAIRsharing.v8sf83","doi":"10.25504/FAIRsharing.v8sf83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SiLA is a global not-for-profit consortium of laboratory automation users, device suppliers, and integrators. Its mission is to establish international standards which create open connectivity in lab automation. SiLA enables vendor-independent device control and data exchange, through standard instrument interfaces and common command dictionaries, as well as data capture and labware description file standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Automation","Life Science","Biomedical Science"],"domains":["Device"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","Liechtenstein","Switzerland","United Kingdom","United States"],"publications":[{"id":626,"pubmed_id":22357556,"title":"SiLA: Basic standards for rapid integration in laboratory automation","year":2012,"url":"http://doi.org/10.1177/2211068211424550","authors":"Bär Henning, Hochstrasser Remo, Papenfuss Bernd","journal":"Journal of Laboratory Automation","doi":"10.1177/2211068211424550","created_at":"2021-09-30T08:23:28.827Z","updated_at":"2021-09-30T08:23:28.827Z"}],"licence_links":[{"licence_name":"SiLA Privacy Policy","licence_id":746,"licence_url":"http://www.sila-standard.org/privacy_policy/","link_id":3,"relation":"undefined"}],"grants":[{"id":6850,"fairsharing_record_id":1135,"organisation_id":97,"relation":"maintains","created_at":"2021-09-30T09:28:16.297Z","updated_at":"2021-09-30T09:28:16.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":97,"name":"AnIML Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6852,"fairsharing_record_id":1135,"organisation_id":2566,"relation":"funds","created_at":"2021-09-30T09:28:16.378Z","updated_at":"2021-09-30T09:28:16.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":2566,"name":"SILA Consortium","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6851,"fairsharing_record_id":1135,"organisation_id":2577,"relation":"maintains","created_at":"2021-09-30T09:28:16.339Z","updated_at":"2021-09-30T09:28:16.339Z","grant_id":null,"is_lead":false,"saved_state":{"id":2577,"name":"SLAS","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1099","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T11:04:42.134Z","metadata":{"doi":"10.25504/FAIRsharing.v06c4q","name":"IBP Cassava Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_334:ROOT","citations":[],"identifier":1099,"description":"Crop-specific trait ontologies enhance the interoperability and effectiveness of data exchange between the data sources which adopt it, by providing standard concepts that are use to describe phenotypes stored in those sources. As one of them, the Cassava Ontology is actively used and shared in different databases such as the BMS (Breeding Management system) of the IBP or the CassavaBase. Cassava, a major staple crop, is the main source of calories for 500 million people across the globe. A perennial woody shrub native to Latin America, cassava is primarily grown as an annual crop in the humid tropics. A cash crop as well as a subsistence crop, cassava's large edible starchy roots are a source of low-cost carbohydrates for millions. Cassava end products range from fresh roots cooked, boiled, baked or fried at the household level, to highly processed starch as a food additive.","abbreviation":"CO_334","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help Page","type":"Help documentation"},{"url":"https://github.com/Planteome/ibp-cassava-traits","name":"GitHub Repository","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001106","bsg-s001106"],"name":"FAIRsharing record for: IBP Cassava Trait Ontology","abbreviation":"CO_334","url":"https://fairsharing.org/10.25504/FAIRsharing.v06c4q","doi":"10.25504/FAIRsharing.v06c4q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Crop-specific trait ontologies enhance the interoperability and effectiveness of data exchange between the data sources which adopt it, by providing standard concepts that are use to describe phenotypes stored in those sources. As one of them, the Cassava Ontology is actively used and shared in different databases such as the BMS (Breeding Management system) of the IBP or the CassavaBase. Cassava, a major staple crop, is the main source of calories for 500 million people across the globe. A perennial woody shrub native to Latin America, cassava is primarily grown as an annual crop in the humid tropics. A cash crop as well as a subsistence crop, cassava's large edible starchy roots are a source of low-cost carbohydrates for millions. Cassava end products range from fresh roots cooked, boiled, baked or fried at the household level, to highly processed starch as a food additive.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Nutritional Science"],"domains":["Food","Phenotype"],"taxonomies":["Manihot esculenta"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1812,"relation":"undefined"}],"grants":[{"id":6775,"fairsharing_record_id":1099,"organisation_id":489,"relation":"maintains","created_at":"2021-09-30T09:28:13.495Z","updated_at":"2021-09-30T09:28:13.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":489,"name":"CGIAR Research Program on Roots, Tubers and Bananas","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6776,"fairsharing_record_id":1099,"organisation_id":382,"relation":"maintains","created_at":"2021-09-30T09:28:13.537Z","updated_at":"2021-09-30T09:28:13.537Z","grant_id":null,"is_lead":false,"saved_state":{"id":382,"name":"Cassavabase","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6777,"fairsharing_record_id":1099,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:28:13.576Z","updated_at":"2021-09-30T09:28:13.576Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1100","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:24:45.070Z","metadata":{"doi":"10.25504/FAIRsharing.fgd5gq","name":"Mungbean Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_346:ROOT","citations":[],"identifier":1100,"description":"The Mungbean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","abbreviation":"CO_346","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001103","bsg-s001103"],"name":"FAIRsharing record for: Mungbean Ontology","abbreviation":"CO_346","url":"https://fairsharing.org/10.25504/FAIRsharing.fgd5gq","doi":"10.25504/FAIRsharing.fgd5gq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mungbean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Vigna radiata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1854,"relation":"undefined"}],"grants":[{"id":6778,"fairsharing_record_id":1100,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:13.613Z","updated_at":"2021-09-30T09:28:13.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1101","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T12:32:23.000Z","updated_at":"2024-03-25T20:56:42.746Z","metadata":{"doi":"10.25504/FAIRsharing.364323","name":"Rich Text Format","status":"ready","contacts":[],"homepage":"https://en.wikipedia.org/wiki/Rich_Text_Format","citations":[],"identifier":1101,"description":"The Rich Text Format (RTF) Specification provides a format for text and graphics interchange that can be used with different output devices, operating environments, and operating systems. Version 1.9.1 of the specification contains the latest updates introduced by Microsoft Office Word 2007. Please note that normally FAIRsharing would not use a third-party URL such as Wikipedia for its homepage, however an official site cannot be found. Please get in touch with us if you have any information.","abbreviation":"RTF","year_creation":1987},"legacy_ids":["bsg-001263","bsg-s001263"],"name":"FAIRsharing record for: Rich Text Format","abbreviation":"RTF","url":"https://fairsharing.org/10.25504/FAIRsharing.364323","doi":"10.25504/FAIRsharing.364323","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Rich Text Format (RTF) Specification provides a format for text and graphics interchange that can be used with different output devices, operating environments, and operating systems. Version 1.9.1 of the specification contains the latest updates introduced by Microsoft Office Word 2007. Please note that normally FAIRsharing would not use a third-party URL such as Wikipedia for its homepage, however an official site cannot be found. Please get in touch with us if you have any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6779,"fairsharing_record_id":1101,"organisation_id":1835,"relation":"maintains","created_at":"2021-09-30T09:28:13.654Z","updated_at":"2021-09-30T09:28:13.654Z","grant_id":null,"is_lead":true,"saved_state":{"id":1835,"name":"Microsoft Corporation, Seattle, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1102","type":"fairsharing_records","attributes":{"created_at":"2021-01-14T11:57:07.000Z","updated_at":"2022-07-20T13:11:55.061Z","metadata":{"doi":"10.25504/FAIRsharing.41e4bc","name":"Essential Ocean Variables","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"goos@unesco.org"}],"homepage":"https://www.goosocean.org/index.php?option=com_content\u0026view=article\u0026id=14\u0026Itemid=114","identifier":1102,"description":"Essential Ocean Variables (EOV) is a vocabulary created to avoid duplication of efforts across observing platforms and networks, and to aid adoption of common standards for data collection. Values within EOV are identified by the GOOS Expert Panels, based relevance, feasibility and cost effectiveness.","abbreviation":"EOV"},"legacy_ids":["bsg-001580","bsg-s001580"],"name":"FAIRsharing record for: Essential Ocean Variables","abbreviation":"EOV","url":"https://fairsharing.org/10.25504/FAIRsharing.41e4bc","doi":"10.25504/FAIRsharing.41e4bc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Essential Ocean Variables (EOV) is a vocabulary created to avoid duplication of efforts across observing platforms and networks, and to aid adoption of common standards for data collection. Values within EOV are identified by the GOOS Expert Panels, based relevance, feasibility and cost effectiveness.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Earth Science","Oceanography","Biology","Ecosystem Science"],"domains":["Climate","Ecosystem"],"taxonomies":["All"],"user_defined_tags":["biogeochemistry"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6780,"fairsharing_record_id":1102,"organisation_id":1178,"relation":"maintains","created_at":"2021-09-30T09:28:13.694Z","updated_at":"2021-09-30T09:28:13.694Z","grant_id":null,"is_lead":true,"saved_state":{"id":1178,"name":"Global Ocean Observing System (GOOS), Intergovernmental Oceanographic Commission (IOC), UNESCO","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1103","type":"fairsharing_records","attributes":{"created_at":"2018-03-10T20:06:18.000Z","updated_at":"2023-07-31T12:45:51.900Z","metadata":{"doi":"10.25504/FAIRsharing.2b04ae","name":"Woody Plant Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"},{"contact_name":"urgi-data","contact_email":"urgi-data@inrae.fr","contact_orcid":null}],"homepage":"https://doi.org/10.15454/JB2WCE","citations":[],"identifier":1103,"description":"The Woody Plant Ontology lists reference variables used for experimentations and observations on woody plants (forest trees and shrubs, and possibly fruit trees). It is an international initiative based on various communities (French, Portuguese and European). Terms are collected from various sources and organized following the Crop Ontology standard which provides harmonized variables composed by a triplet: (i) a trait, the studied character, (ii) a method, the measurement protocol and (iii) a scale, the unit of measurement or scoring scale. ","abbreviation":"CO_357","support_links":[{"url":"celia.michotey@inra.fr","name":"Celia Michotey","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2017,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/co_357","name":"Woody Plant Ontology on OLS","portal":"OLS"},{"url":"http://agroportal.lirmm.fr/ontologies/CO_357?p=summary","name":"Woody Plant Ontology on AgroPortal","portal":"AgroPortal"},{"url":"https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.15454/JB2WCE","name":"Woody Plant Ontology on Data INRAE","portal":"Other"},{"url":"https://cropontology.org/term/CO_357:ROOT","name":"Woody Plant Ontology on Crop Ontology","portal":"Other"}]},"legacy_ids":["bsg-001136","bsg-s001136"],"name":"FAIRsharing record for: Woody Plant Ontology","abbreviation":"CO_357","url":"https://fairsharing.org/10.25504/FAIRsharing.2b04ae","doi":"10.25504/FAIRsharing.2b04ae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Woody Plant Ontology lists reference variables used for experimentations and observations on woody plants (forest trees and shrubs, and possibly fruit trees). It is an international initiative based on various communities (French, Portuguese and European). Terms are collected from various sources and organized following the Crop Ontology standard which provides harmonized variables composed by a triplet: (i) a trait, the studied character, (ii) a method, the measurement protocol and (iii) a scale, the unit of measurement or scoring scale. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Phenotype"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3141,"pubmed_id":null,"title":"Woody Plant Ontology, V1 ","year":2019,"url":"https://doi.org/10.15454/JB2WCE","authors":" Michotey, Célia; Chaves, Ines; Anger, Christel; Jorge, Véronique; Ehrenmann, Francois; Jean, Frederic; Opgenoorth, Lars","journal":"Portail Data INRAE","doi":"","created_at":"2021-11-30T11:01:58.023Z","updated_at":"2021-11-30T11:01:58.023Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1351,"relation":"undefined"}],"grants":[{"id":8616,"fairsharing_record_id":1103,"organisation_id":1301,"relation":"collaborates_on","created_at":"2021-11-29T19:42:13.796Z","updated_at":"2021-11-29T19:42:13.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":1301,"name":"iBET","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":6781,"fairsharing_record_id":1103,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:13.734Z","updated_at":"2021-09-30T09:28:13.734Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1104","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T10:31:00.000Z","updated_at":"2023-06-05T06:22:58.345Z","metadata":{"doi":"10.25504/FAIRsharing.YovxU6","name":"Vocabulary of Philosophy","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/73G/en/","citations":[],"identifier":1104,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Philosophy\" FRANCIS database (1972-2015). It consists of 4435 entries in mainly 2 languages (English and French) grouped into 102 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001405","bsg-s001405"],"name":"FAIRsharing record for: Vocabulary of Philosophy","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.YovxU6","doi":"10.25504/FAIRsharing.YovxU6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Philosophy\" FRANCIS database (1972-2015). It consists of 4435 entries in mainly 2 languages (English and French) grouped into 102 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11293}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Philosophy","Classical Philology","Practical Philosophy","Theoretical Philosophy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1112,"relation":"undefined"}],"grants":[{"id":6782,"fairsharing_record_id":1104,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:13.821Z","updated_at":"2021-09-30T09:28:13.821Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6783,"fairsharing_record_id":1104,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:13.863Z","updated_at":"2021-09-30T09:28:13.863Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1105","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:04.000Z","updated_at":"2022-07-20T12:46:55.551Z","metadata":{"doi":"10.25504/FAIRsharing.hve0ac","name":"Matter Transfer Ontology","status":"ready","contacts":[{"contact_name":"Patrice Buche","contact_email":"patrice.buche@supagro.inra.fr"}],"homepage":"https://www6.inrae.fr/cati-icat-atweb/Ontologies/Transmat","identifier":1105,"description":"The Matter Transfer ontology is dedicated to matter transfer (eg O2, CO2, H2O) and mechanical properties of materials especially with respect to food, bacteria and packaging fields.","abbreviation":"TRANSMAT","support_links":[{"url":"guillard@univ-montp2.fr","name":"Valerie Guillard","type":"Support email"}],"year_creation":2015},"legacy_ids":["bsg-001095","bsg-s001095"],"name":"FAIRsharing record for: Matter Transfer Ontology","abbreviation":"TRANSMAT","url":"https://fairsharing.org/10.25504/FAIRsharing.hve0ac","doi":"10.25504/FAIRsharing.hve0ac","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Matter Transfer ontology is dedicated to matter transfer (eg O2, CO2, H2O) and mechanical properties of materials especially with respect to food, bacteria and packaging fields.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Materials Science"],"domains":["Food"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2589,"pubmed_id":null,"title":"MAP-OPT: A software for supporting decision-making in the field of modified atmosphere packaging of fresh non respiring foods","year":2017,"url":"https://hal.archives-ouvertes.fr/lirmm-01652014","authors":"Valerie Guillard, Olivier Couvert, Valerie Stahl, Patrice Buche, Aurelie Hanin, et al.","journal":"Packaging Research, De Gruyter OPEN, A Paraitre, pp.1-43.","doi":null,"created_at":"2021-09-30T08:27:17.595Z","updated_at":"2021-09-30T11:28:32.410Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1422,"relation":"undefined"}],"grants":[{"id":6784,"fairsharing_record_id":1105,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:28:13.905Z","updated_at":"2021-09-30T09:28:13.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6785,"fairsharing_record_id":1105,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:13.946Z","updated_at":"2021-09-30T09:28:13.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6786,"fairsharing_record_id":1105,"organisation_id":1360,"relation":"maintains","created_at":"2021-09-30T09:28:13.984Z","updated_at":"2021-09-30T09:28:13.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":1360,"name":"INRA @Web Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1095","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T22:31:14.000Z","updated_at":"2023-05-05T07:50:23.327Z","metadata":{"doi":"10.25504/FAIRsharing.IIMCe0","name":"Gene Ontology Gene Association File Format 2.0","status":"deprecated","contacts":[{"contact_name":"Gene Ontology Consortium Helpdesk","contact_email":"help@geneontology.org","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://geneontology.org/docs/go-annotation-file-gaf-format-2.0/","citations":[],"identifier":1095,"description":"Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.0 (GAF 2.0). The annotation flat file format is comprised of 17 tab-delimited fields. The newer GAF 2.1 format is preferred over this older 2.0 format.","abbreviation":"GO GAF 2.0","support_links":[{"url":"https://github.com/geneontology/helpdesk/issues","name":"GO GitHub Issue Tracker","type":"Github"},{"url":"http://geneontology.org/docs/go-annotations/","name":"Introduction to GO annotations","type":"Help documentation"}],"year_creation":2013,"associated_tools":[{"url":"http://noctua.berkeleybop.org/","name":"NOCTUA Curation Platform"},{"url":"http://geneontology.org/go-cam","name":"GO Causal Activity Models (CAMs) viewer"}],"deprecation_date":"2021-02-01","deprecation_reason":"Deprecated as has been superseded."},"legacy_ids":["bsg-001129","bsg-s001129"],"name":"FAIRsharing record for: Gene Ontology Gene Association File Format 2.0","abbreviation":"GO GAF 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.IIMCe0","doi":"10.25504/FAIRsharing.IIMCe0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.0 (GAF 2.0). The annotation flat file format is comprised of 17 tab-delimited fields. The newer GAF 2.1 format is preferred over this older 2.0 format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Animal Genetics","Genetics","Human Genetics","Life Science","Molecular Genetics","Plant Genetics"],"domains":["Gene Ontology enrichment","Gene functional annotation","Functional association","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":203,"relation":"undefined"}],"grants":[{"id":6766,"fairsharing_record_id":1095,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:28:13.154Z","updated_at":"2021-09-30T09:28:13.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1096","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:01:07.000Z","updated_at":"2022-07-20T09:53:40.585Z","metadata":{"doi":"10.25504/FAIRsharing.a14123","name":"Common Bean Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_335:ROOT","citations":[],"identifier":1096,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Common Bean Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_335","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2021},"legacy_ids":["bsg-001130","bsg-s001130"],"name":"FAIRsharing record for: Common Bean Ontology","abbreviation":"CO_335","url":"https://fairsharing.org/10.25504/FAIRsharing.a14123","doi":"10.25504/FAIRsharing.a14123","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Common Bean Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food"],"taxonomies":["Phaseolus vulgaris"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1848,"relation":"undefined"}],"grants":[{"id":6767,"fairsharing_record_id":1096,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:28:13.192Z","updated_at":"2021-09-30T09:28:13.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6768,"fairsharing_record_id":1096,"organisation_id":1476,"relation":"maintains","created_at":"2021-09-30T09:28:13.224Z","updated_at":"2021-09-30T09:28:13.224Z","grant_id":null,"is_lead":false,"saved_state":{"id":1476,"name":"International Center for Tropical Agriculture (CIAT), Colombia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6769,"fairsharing_record_id":1096,"organisation_id":2969,"relation":"maintains","created_at":"2021-09-30T09:28:13.247Z","updated_at":"2021-09-30T09:28:13.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":2969,"name":"Universidad Tecnologica de Pereira (UTP), Columbia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1097","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T12:32:55.000Z","updated_at":"2022-07-20T12:28:29.312Z","metadata":{"doi":"10.25504/FAIRsharing.jT49Da","name":"Provenance Vocabulary","status":"ready","contacts":[{"contact_name":"Olaf Hartig","contact_email":"olaf.hartig@liu.se"}],"homepage":"http://purl.org/net/provenance/ns","identifier":1097,"description":"The Provenance Vocabulary provides classes and properties for describing provenance of Web data. The vocabulary focuses on two main use cases: 1.) It enables consumers of Web data to describe provenance of data retrieved from the Web and of data derived from such Web data. 2.) It enables providers of Web data to publish provenance-related metadata about their data. Notice, the vocabulary is not intended for describing provenance of other kinds of Web content. The Provenance Vocabulary is designed as a Web data specific specialization of the W3C PROV Ontology (PROV-O); classes and properties provided by the vocabulary are domain specific extensions of the more general concepts introduced in PROV-O. As a consequence, any Provenance Vocabulary based description of provenance can be easily interpreted and exchanged according to the W3C PROV family of standards. While this vocabulary is in a stable state, it is not being actively developed at this time.","abbreviation":null,"support_links":[{"url":"jun.zhao@cs.ox.ac.uk","name":"Jun Zhao","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-001431","bsg-s001431"],"name":"FAIRsharing record for: Provenance Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jT49Da","doi":"10.25504/FAIRsharing.jT49Da","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Provenance Vocabulary provides classes and properties for describing provenance of Web data. The vocabulary focuses on two main use cases: 1.) It enables consumers of Web data to describe provenance of data retrieved from the Web and of data derived from such Web data. 2.) It enables providers of Web data to publish provenance-related metadata about their data. Notice, the vocabulary is not intended for describing provenance of other kinds of Web content. The Provenance Vocabulary is designed as a Web data specific specialization of the W3C PROV Ontology (PROV-O); classes and properties provided by the vocabulary are domain specific extensions of the more general concepts introduced in PROV-O. As a consequence, any Provenance Vocabulary based description of provenance can be easily interpreted and exchanged according to the W3C PROV family of standards. While this vocabulary is in a stable state, it is not being actively developed at this time.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Sweden","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 1.0 Generic (CC BY 1.0)","licence_id":156,"licence_url":"https://creativecommons.org/licenses/by/1.0/","link_id":1804,"relation":"undefined"}],"grants":[{"id":6770,"fairsharing_record_id":1097,"organisation_id":693,"relation":"maintains","created_at":"2021-09-30T09:28:13.273Z","updated_at":"2021-09-30T09:28:13.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":693,"name":"Department of Computer and Information Science (IDA), Linkoeping University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6771,"fairsharing_record_id":1097,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:13.297Z","updated_at":"2021-09-30T09:28:13.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1098","type":"fairsharing_records","attributes":{"created_at":"2019-11-05T12:27:35.000Z","updated_at":"2022-07-20T12:45:47.350Z","metadata":{"doi":"10.25504/FAIRsharing.Hbvvle","name":"BpForms Grammar","status":"ready","contacts":[{"contact_name":"Karr Lab","contact_email":"info@karrlab.org"}],"homepage":"https://www.bpforms.org/#grammar","citations":[{"publication_id":2611}],"identifier":1098,"description":"The BpForms Grammar extends the IUPAC/IUBMB notation commonly used to represent unmodified DNA, RNA, and proteins to describe non-canonical forms of DNA, RNA, and proteins. Features include the representation of a wider range of monomeric forms, including monomeric forms that are not described in pre-defined alphabets; left and right caps such as 5' caps; intrastrand crosslinks (additional bonds between non-adjacent monomeric forms); nicks (absence of a bond between adjacent monomeric forms); and linear and circular topologies of polymers. BpForms has concrete semantics for generating molecular structures from its compressed representation of sequences of monomeric forms. The BpForms grammar is defined in Lark syntax , which is based on EBNF syntax","abbreviation":"BpForms Grammar","support_links":[{"url":"https://docs.karrlab.org/bpforms/master/0.0.9/grammar.html#","name":"Grammar Documentation","type":"Help documentation"},{"url":"https://github.com/KarrLab/bpforms","name":"Source code","type":"Github"}],"year_creation":2019},"legacy_ids":["bsg-001396","bsg-s001396"],"name":"FAIRsharing record for: BpForms Grammar","abbreviation":"BpForms Grammar","url":"https://fairsharing.org/10.25504/FAIRsharing.Hbvvle","doi":"10.25504/FAIRsharing.Hbvvle","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BpForms Grammar extends the IUPAC/IUBMB notation commonly used to represent unmodified DNA, RNA, and proteins to describe non-canonical forms of DNA, RNA, and proteins. Features include the representation of a wider range of monomeric forms, including monomeric forms that are not described in pre-defined alphabets; left and right caps such as 5' caps; intrastrand crosslinks (additional bonds between non-adjacent monomeric forms); nicks (absence of a bond between adjacent monomeric forms); and linear and circular topologies of polymers. BpForms has concrete semantics for generating molecular structures from its compressed representation of sequences of monomeric forms. The BpForms grammar is defined in Lark syntax , which is based on EBNF syntax","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Bioinformatics","Genetics"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2611,"pubmed_id":null,"title":"BpForms and BcForms: Tools for concretely describing non-canonical polymers and complexes to facilitate comprehensive biochemical networks","year":2019,"url":"https://arxiv.org/abs/1903.10042","authors":"Paul F. Lang, Yassmine Chebaro, Xiaoyue Zheng, John A. P. Sekar, Bilal Shaikh, Darren A. Natale, Jonathan R. Karr","journal":"arXiv","doi":null,"created_at":"2021-09-30T08:27:20.521Z","updated_at":"2021-09-30T08:27:20.521Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1232,"relation":"undefined"}],"grants":[{"id":6772,"fairsharing_record_id":1098,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:28:13.379Z","updated_at":"2021-09-30T09:28:13.379Z","grant_id":null,"is_lead":true,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6773,"fairsharing_record_id":1098,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:13.417Z","updated_at":"2021-09-30T09:31:49.206Z","grant_id":1341,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"INSPIRE","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6774,"fairsharing_record_id":1098,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:13.454Z","updated_at":"2021-09-30T09:32:29.011Z","grant_id":1639,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41 award","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8489,"fairsharing_record_id":1098,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:52.112Z","updated_at":"2021-09-30T09:32:52.181Z","grant_id":1812,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"MIRA R35 award","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1121","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:28:17.825Z","metadata":{"doi":"10.25504/FAIRsharing.vzrsab","name":"Uniprot Tissues controlled vocabulary","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@uniprot.org"}],"homepage":"https://www.uniprot.org/docs/tisslist","identifier":1121,"description":"The UniProt Tissue List is a controlled vocabulary of terms used to annotate biological tissues in the \"TISSUE\" topic of the RC line type. It also contains cross-references to other ontologies where tissue types are specified.","abbreviation":"Uniprot Tisslist","support_links":[{"url":"https://www.uniprot.org/contact","name":"Contact Form","type":"Contact form"},{"url":"https://web.expasy.org/docs/userman.html#Ref_line","name":"Manual: Reference Lines","type":"Help documentation"}]},"legacy_ids":["bsg-000293","bsg-s000293"],"name":"FAIRsharing record for: Uniprot Tissues controlled vocabulary","abbreviation":"Uniprot Tisslist","url":"https://fairsharing.org/10.25504/FAIRsharing.vzrsab","doi":"10.25504/FAIRsharing.vzrsab","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniProt Tissue List is a controlled vocabulary of terms used to annotate biological tissues in the \"TISSUE\" topic of the RC line type. It also contains cross-references to other ontologies where tissue types are specified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Organ","Tissue"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":64,"relation":"undefined"}],"grants":[{"id":6824,"fairsharing_record_id":1121,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:28:15.372Z","updated_at":"2021-09-30T09:28:15.372Z","grant_id":null,"is_lead":true,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1122","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:53.823Z","metadata":{"doi":"10.25504/FAIRsharing.2h33ax","name":"International Classification of Primary Care, 2nd Edition","status":"ready","contacts":[{"contact_name":"Diego Schrans (WICC Chair)","contact_email":"diego.schrans@urgent.be"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-of-primary-care","identifier":1122,"description":"The International Classification of Primary Care, 2nd Edition (ICPC-2) classifies patient data and clinical activity in the domains of General/Family Practice and primary care, taking into account the frequency distribution of problems seen in these domains. It allows classification of the patient’s reason for encounter (RFE), the problems/diagnosis managed, interventions, and the ordering of these data in an episode of care structure.","abbreviation":"ICPC-2","support_links":[{"url":"ceo@wonca.net","name":"WONCA Executive","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/International_Classification_of_Primary_Care","name":"Wikipedia","type":"Wikipedia"},{"url":"https://www.globalfamilydoctor.com/groups/WorkingParties/wicc.aspx","name":"About WICC and ICPC","type":"Help documentation"}],"year_creation":1998},"legacy_ids":["bsg-002597","bsg-s002597"],"name":"FAIRsharing record for: International Classification of Primary Care, 2nd Edition","abbreviation":"ICPC-2","url":"https://fairsharing.org/10.25504/FAIRsharing.2h33ax","doi":"10.25504/FAIRsharing.2h33ax","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Primary Care, 2nd Edition (ICPC-2) classifies patient data and clinical activity in the domains of General/Family Practice and primary care, taking into account the frequency distribution of problems seen in these domains. It allows classification of the patient’s reason for encounter (RFE), the problems/diagnosis managed, interventions, and the ordering of these data in an episode of care structure.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12513},{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16787}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Social Science","Medicine","Psychology","Primary Health Care","Physiology","Biomedical Science","Epidemiology"],"domains":["Electronic health record","Patient care","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1319,"pubmed_id":3961309,"title":"International classification of primary care.","year":1986,"url":"http://doi.org/10.3109/02813438609013970","authors":"Bentsen BG","journal":"Scand J Prim Health Care","doi":"10.3109/02813438609013970","created_at":"2021-09-30T08:24:47.401Z","updated_at":"2021-09-30T08:24:47.401Z"}],"licence_links":[{"licence_name":"ICPC-2 Policy on Copyright and Licencing","licence_id":416,"licence_url":"http://www.ph3c.org/4daction/w3_CatVisu/en/rules-%26-ethics.html?wCatIDAdmin=1101","link_id":1207,"relation":"undefined"}],"grants":[{"id":6827,"fairsharing_record_id":1122,"organisation_id":764,"relation":"maintains","created_at":"2021-09-30T09:28:15.475Z","updated_at":"2021-09-30T09:28:15.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":764,"name":"Directorate of eHealth, Norwegian Ministry of Health and Care Services, Oslo, Norway","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6825,"fairsharing_record_id":1122,"organisation_id":3255,"relation":"maintains","created_at":"2021-09-30T09:28:15.416Z","updated_at":"2021-09-30T09:28:15.416Z","grant_id":null,"is_lead":false,"saved_state":{"id":3255,"name":"World Organisation of Family Doctors WONCA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6826,"fairsharing_record_id":1122,"organisation_id":3256,"relation":"maintains","created_at":"2021-09-30T09:28:15.446Z","updated_at":"2021-09-30T09:28:15.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":3256,"name":"World Organisation of Family Doctors (WONCA) Working Party: International Classification (WICC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1123","type":"fairsharing_records","attributes":{"created_at":"2016-04-22T19:00:46.000Z","updated_at":"2022-07-20T12:38:41.908Z","metadata":{"doi":"10.25504/FAIRsharing.smr0rh","name":"ANSI/NISO Z39.96 JATS: Journal Article Tag Suite","status":"ready","contacts":[{"contact_name":"NISO General Contact","contact_email":"nisohq@niso.org"}],"homepage":"http://jats.niso.org/","identifier":1123,"description":"The Journal Article Tag Suite (JATS) provides a common XML format in which publishers and archives can exchange journal content. The JATS provides a set of XML elements and attributes for describing the textual and graphical content of journal articles as well as some non-article material such as letters, editorials, and book and product reviews. When the Tag Suite was originally released in 2003, it was named NLM Journal Archiving and Interchange Tag Suite. The most recent version is the ANSI/NISO Z39.96-2019 JATS version 1.2.","abbreviation":"JATS","support_links":[{"url":"https://www.niso.org/contact","name":"NISO Contact Form","type":"Contact form"},{"url":"http://www.mulberrytech.com/JATS/JATS-List/index.html","name":"Mailing Lists","type":"Mailing list"},{"url":"https://groups.niso.org/apps/group_public/project/details.php?project_id=133","name":"JATS Project Overview","type":"Help documentation"},{"url":"https://www.niso.org/standards-committees/jats","name":"JATS Working Group","type":"Help documentation"},{"url":"https://groups.niso.org/apps/org/workgroup_feeds/public_rss.php","name":"RSS Feed","type":"Blog/News"}],"year_creation":2003},"legacy_ids":["bsg-000649","bsg-s000649"],"name":"FAIRsharing record for: ANSI/NISO Z39.96 JATS: Journal Article Tag Suite","abbreviation":"JATS","url":"https://fairsharing.org/10.25504/FAIRsharing.smr0rh","doi":"10.25504/FAIRsharing.smr0rh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Journal Article Tag Suite (JATS) provides a common XML format in which publishers and archives can exchange journal content. The JATS provides a set of XML elements and attributes for describing the textual and graphical content of journal articles as well as some non-article material such as letters, editorials, and book and product reviews. When the Tag Suite was originally released in 2003, it was named NLM Journal Archiving and Interchange Tag Suite. The most recent version is the ANSI/NISO Z39.96-2019 JATS version 1.2.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13899},{"linking_record_name":"White House Office of Science and Technology Policy Collection","linking_record_id":4259,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15325}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Resource metadata","Annotation","Journal article","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":["Publishing"],"countries":["United States"],"publications":[{"id":1131,"pubmed_id":22140303,"title":"NISO Z39.96The Journal Article Tag Suite (JATS): What Happened to the NLM DTDs?","year":2011,"url":"http://doi.org/10.3998/3336451.0014.106","authors":"Beck J","journal":"J Electron Publ","doi":"10.3998/3336451.0014.106","created_at":"2021-09-30T08:24:25.499Z","updated_at":"2021-09-30T08:24:25.499Z"}],"licence_links":[],"grants":[{"id":6828,"fairsharing_record_id":1123,"organisation_id":2000,"relation":"maintains","created_at":"2021-09-30T09:28:15.499Z","updated_at":"2021-09-30T09:28:15.499Z","grant_id":null,"is_lead":true,"saved_state":{"id":2000,"name":"National Information Standards Organisation, NISO, Baltimore, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1113","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T16:25:38.000Z","updated_at":"2023-03-21T16:16:05.397Z","metadata":{"doi":"10.25504/FAIRsharing.032f20","name":"World Meteorological Organization GRIdded Binary Codes Edition 2","status":"ready","contacts":[],"homepage":"http://codes.wmo.int/_grib2","citations":[],"identifier":1113,"description":"The World Meteorological Organization (WMO) has adopted Edition 2 of the GRIB codes as a standard vocabulary to help with sharing gridded binary (GRIB) files. The GRIB2 codes are used internationally to identify weather parameters. In general, WMO Codes are definitions of particular concepts, provided by the WMO. Each code on the WMO site is published as an entry with its own unique identifier, a URI (Uniform Resource Identifier). The collection of statements in the definition table provide information about the code and its use. Often these statements link to other resources within the WMO registry and across the web. Codes are organised within registers, providing context for those codes. A list of related codes about a particular topic will be published as a register. Please note the GRIB2 Codes are distinct from the GRIB2 data format.","abbreviation":"WMO GRIB2 Codes","support_links":[{"url":"http://codes.wmo.int/ui/about/expectations","name":"What to expect about the WMO Codes Registry Service","type":"Help documentation"},{"url":"http://codes.wmo.int/ui/about/whatisacode","name":"What is a WMO Code?","type":"Help documentation"},{"url":"https://github.com/wmo-im/GRIB2","type":"Github"}]},"legacy_ids":["bsg-001571","bsg-s001571"],"name":"FAIRsharing record for: World Meteorological Organization GRIdded Binary Codes Edition 2","abbreviation":"WMO GRIB2 Codes","url":"https://fairsharing.org/10.25504/FAIRsharing.032f20","doi":"10.25504/FAIRsharing.032f20","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Meteorological Organization (WMO) has adopted Edition 2 of the GRIB codes as a standard vocabulary to help with sharing gridded binary (GRIB) files. The GRIB2 codes are used internationally to identify weather parameters. In general, WMO Codes are definitions of particular concepts, provided by the WMO. Each code on the WMO site is published as an entry with its own unique identifier, a URI (Uniform Resource Identifier). The collection of statements in the definition table provide information about the code and its use. Often these statements link to other resources within the WMO registry and across the web. Codes are organised within registers, providing context for those codes. A list of related codes about a particular topic will be published as a register. Please note the GRIB2 Codes are distinct from the GRIB2 data format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Meteorology"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Forecasting"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6803,"fairsharing_record_id":1113,"organisation_id":3254,"relation":"maintains","created_at":"2021-09-30T09:28:14.597Z","updated_at":"2021-09-30T09:28:14.597Z","grant_id":null,"is_lead":true,"saved_state":{"id":3254,"name":"World Meteorological Organization (WMO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1114","type":"fairsharing_records","attributes":{"created_at":"2020-04-08T18:29:45.000Z","updated_at":"2023-03-17T09:12:29.797Z","metadata":{"doi":"10.25504/FAIRsharing.X2qqiE","name":"Minimum information for publication of microplastics studies","status":"ready","contacts":[{"contact_name":"Alexandre Dehaut","contact_email":"alexandre.dehaut@anses.fr","contact_orcid":"0000-0001-5377-995X"}],"homepage":"https://www.sciencedirect.com/science/article/pii/S0165993618305089?via%3Dihub","citations":[{"publication_id":2851}],"identifier":1114,"description":"This guideline focuses on components to report in seafood studies for microplastic research.","abbreviation":"MIMS","support_links":[],"year_creation":2019},"legacy_ids":["bsg-001461","bsg-s001461"],"name":"FAIRsharing record for: Minimum information for publication of microplastics studies","abbreviation":"MIMS","url":"https://fairsharing.org/10.25504/FAIRsharing.X2qqiE","doi":"10.25504/FAIRsharing.X2qqiE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This guideline focuses on components to report in seafood studies for microplastic research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science","Food Chemistry"],"domains":["Environmental contaminant"],"taxonomies":["Not applicable"],"user_defined_tags":["microplastic","plastic","plastic pollution","seafood"],"countries":["France"],"publications":[{"id":2851,"pubmed_id":null,"title":"Current frontiers and recommendations for the study of microplastics in seafood","year":2019,"url":"https://www.sciencedirect.com/science/article/pii/S0165993618305089","authors":"Alexandre Dehaut, Ludovic Hermabessiere, Guillaume Duflos","journal":"TrAC Trends in Analytical Chemistry","doi":null,"created_at":"2021-09-30T08:27:50.698Z","updated_at":"2021-09-30T08:27:50.698Z"},{"id":3804,"pubmed_id":32394727,"title":"Reporting Guidelines to Increase the Reproducibility and Comparability of Research on Microplastics.","year":2020,"url":"https://doi.org/10.1177/0003702820930292","authors":"Cowger W, Booth AM, Hamilton BM, Thaysen C, Primpke S, Munno K, Lusher AL, Dehaut A, Vaz VP, Liboiron M, Devriese LI, Hermabessiere L, Rochman C, Athey SN, Lynch JM, De Frond H, Gray A, Jones OAH, Brander S, Steele C, Moore S, Sanchez A, Nel H","journal":"Applied spectroscopy","doi":"10.1177/0003702820930292","created_at":"2023-03-17T09:09:01.639Z","updated_at":"2023-03-17T09:09:01.639Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3127,"relation":"applies_to_content"}],"grants":[{"id":6804,"fairsharing_record_id":1114,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:28:14.638Z","updated_at":"2021-09-30T09:28:14.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6805,"fairsharing_record_id":1114,"organisation_id":99,"relation":"funds","created_at":"2021-09-30T09:28:14.756Z","updated_at":"2021-09-30T09:28:14.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":99,"name":"ANSES: French Agency for Food, Environmental and Occupational Health \u0026 Safety","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6806,"fairsharing_record_id":1114,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:28:14.794Z","updated_at":"2021-09-30T09:32:16.636Z","grant_id":1545,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-15- CE34-0006-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1115","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T11:37:38.000Z","updated_at":"2022-12-13T09:38:22.621Z","metadata":{"doi":"10.25504/FAIRsharing.iBQoXf","name":"Parameter Description Language","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://ivoa.net/documents/PDL/index.html","citations":[{"publication_id":2949}],"identifier":1115,"description":"The Parameter Description Language (PDL) describes parameters in a rigorous data model. With no loss of generality, we will represent this data model using XML. It intends to be a expressive language for self-descriptive web services exposing the semantic nature of input and output parameters, as well as all necessary complex constraints. PDL is a step forward towards true web services interoperability.","abbreviation":"PDL","year_creation":2014},"legacy_ids":["bsg-001189","bsg-s001189"],"name":"FAIRsharing record for: Parameter Description Language","abbreviation":"PDL","url":"https://fairsharing.org/10.25504/FAIRsharing.iBQoXf","doi":"10.25504/FAIRsharing.iBQoXf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Parameter Description Language (PDL) describes parameters in a rigorous data model. With no loss of generality, we will represent this data model using XML. It intends to be a expressive language for self-descriptive web services exposing the semantic nature of input and output parameters, as well as all necessary complex constraints. PDL is a step forward towards true web services interoperability.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11478}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2949,"pubmed_id":null,"title":"Parameter Description Language Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.0523Z","authors":"Zwolf, Carlo Maria; Harrison, Paul; Garrido, Julian; Ruiz, Jose Enrique; Le Petit, Franck","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.466Z","updated_at":"2021-09-30T08:28:03.466Z"}],"licence_links":[],"grants":[{"id":6808,"fairsharing_record_id":1115,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:14.868Z","updated_at":"2021-09-30T09:28:14.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6807,"fairsharing_record_id":1115,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:14.829Z","updated_at":"2021-09-30T09:28:14.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1116","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T16:51:38.000Z","updated_at":"2022-07-20T09:09:16.969Z","metadata":{"doi":"10.25504/FAIRsharing.8f9581","name":"British Oceanographic Data Centre Parameter Usage Vocabulary","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"vocab.services@bodc.ac.uk"}],"homepage":"https://www.bodc.ac.uk/resources/vocabularies/parameter_codes/","citations":[],"identifier":1116,"description":"The British Oceanographic Data Centre Parameter Usage Vocabulary (BODC PUV) is a controlled vocabulary for labelling variables in databases and data files in oceanography and related domains. It is a collection of unique and persistent identifiers attached to structurally logical labels and textual definitions. This vocabulary is also frequently referred to as the PO1 PUV.","abbreviation":"BODC PUV","support_links":[{"url":"https://www.bodc.ac.uk/resources/vocabularies/parameter_codes/documents/BODC_P01_PUV_semantic_model_Aug19.pdf","name":"Presentation on BODC PUV Semantic Model (PDF)","type":"Help documentation"},{"url":"https://github.com/nvs-vocabs/P01","name":"GitHub Project","type":"Github"}]},"legacy_ids":["bsg-001572","bsg-s001572"],"name":"FAIRsharing record for: British Oceanographic Data Centre Parameter Usage Vocabulary","abbreviation":"BODC PUV","url":"https://fairsharing.org/10.25504/FAIRsharing.8f9581","doi":"10.25504/FAIRsharing.8f9581","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The British Oceanographic Data Centre Parameter Usage Vocabulary (BODC PUV) is a controlled vocabulary for labelling variables in databases and data files in oceanography and related domains. It is a collection of unique and persistent identifiers attached to structurally logical labels and textual definitions. This vocabulary is also frequently referred to as the PO1 PUV.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6809,"fairsharing_record_id":1116,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:28:14.901Z","updated_at":"2021-09-30T09:28:14.901Z","grant_id":null,"is_lead":true,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1117","type":"fairsharing_records","attributes":{"created_at":"2020-09-16T11:56:29.000Z","updated_at":"2022-07-20T11:12:36.996Z","metadata":{"doi":"10.25504/FAIRsharing.b9e94b","name":"International Consortium for Atmospheric Research on Transport and Transformation Format","status":"ready","contacts":[{"contact_name":"Ali Aknan","contact_email":"ali.a.aknan@nasa.gov"}],"homepage":"http://www-air.larc.nasa.gov/missions/etc/IcarttDataFormat.htm","identifier":1117,"description":"The International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) file format is a text-based, self-describing, and relatively simple-to-use file structure. This ASCIIfile format was built on two well-established airborne data formats: NASA Ames and GTE. Like its predecessors, the ICARTT file format is designed for handling airborne insitu measurement data but having limited capability to accommodate data from airborne or ground-based remote sensing (e.g. LIDAR), ground-based measurements, and aspects of satellite data.","abbreviation":"ICARTT Format","support_links":[{"url":"gao.chen@nasa.gov","name":"Gao Chen","type":"Support email"},{"url":"james.h.crawford@nasa.gov","name":"James Crawford","type":"Support email"},{"url":"eric.j.williams@noaa.gov","name":"Eric Williams","type":"Support email"},{"url":"https://espoarchive.nasa.gov/archive/help/icartt_format","name":"ICARTT vs Ames Formats","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001525","bsg-s001525"],"name":"FAIRsharing record for: International Consortium for Atmospheric Research on Transport and Transformation Format","abbreviation":"ICARTT Format","url":"https://fairsharing.org/10.25504/FAIRsharing.b9e94b","doi":"10.25504/FAIRsharing.b9e94b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) file format is a text-based, self-describing, and relatively simple-to-use file structure. This ASCIIfile format was built on two well-established airborne data formats: NASA Ames and GTE. Like its predecessors, the ICARTT file format is designed for handling airborne insitu measurement data but having limited capability to accommodate data from airborne or ground-based remote sensing (e.g. LIDAR), ground-based measurements, and aspects of satellite data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geophysics","Earth Science","Remote Sensing"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA ICARTT Copyright Notice","licence_id":535,"licence_url":"https://www-air.larc.nasa.gov/missions/etc/IcarttDataFormat.htm#cn","link_id":46,"relation":"undefined"}],"grants":[{"id":6810,"fairsharing_record_id":1117,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:14.924Z","updated_at":"2021-09-30T09:28:14.924Z","grant_id":null,"is_lead":true,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1128","type":"fairsharing_records","attributes":{"created_at":"2015-11-17T11:39:57.000Z","updated_at":"2022-12-27T17:27:53.775Z","metadata":{"doi":"10.25504/FAIRsharing.25k4yp","name":"Fast Healthcare Interoperability Resources","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"fmgcontact@hl7.org"}],"homepage":"https://www.hl7.org/fhir/index.html","citations":[],"identifier":1128,"description":"FHIR (Fast Healthcare Interoperability Resources) is designed to enable information exchange to support the provision of healthcare in a wide variety of settings. The specification builds on and adapts modern, widely used RESTful practices to enable the provision of integrated healthcare across a wide range of teams and organizations. The intended scope of FHIR is broad, covering human and veterinary, clinical care, public health, clinical trials, administration and financial aspects. The standard has been developed by an International group of people and is intended for global use and in a wide variety of architectures and scenarios.","abbreviation":"FHIR","support_links":[{"url":"http://wiki.hl7.org/index.php?title=FHIR_Blogs","name":"FHIR Blogs","type":"Blog/News"},{"url":"https://chat.fhir.org/","name":"Implementer assistance","type":"Forum"},{"url":"http://hl7.org/fhir/documentation.html","name":"Documentation","type":"Help documentation"},{"url":"https://www.hl7.org/fhir/toc.html","name":"FHIR Site Table of Contents","type":"Help documentation"},{"url":"https://twitter.com/FHIRnews","name":"@FHIRnews","type":"Twitter"}],"year_creation":2012,"associated_tools":[{"url":"https://github.com/smart-on-fhir/Swift-FHIR","name":"Swift-FHIR"},{"url":"http://hl7.org/fhir/implsupport-module.html","name":"Implementer support page"}]},"legacy_ids":["bsg-000625","bsg-s000625"],"name":"FAIRsharing record for: Fast Healthcare Interoperability Resources","abbreviation":"FHIR","url":"https://fairsharing.org/10.25504/FAIRsharing.25k4yp","doi":"10.25504/FAIRsharing.25k4yp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FHIR (Fast Healthcare Interoperability Resources) is designed to enable information exchange to support the provision of healthcare in a wide variety of settings. The specification builds on and adapts modern, widely used RESTful practices to enable the provision of integrated healthcare across a wide range of teams and organizations. The intended scope of FHIR is broad, covering human and veterinary, clinical care, public health, clinical trials, administration and financial aspects. The standard has been developed by an International group of people and is intended for global use and in a wide variety of architectures and scenarios.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17323},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11037},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12220},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12487},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13349},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14562},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16920}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":["Interoperability"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2068,"relation":"undefined"},{"licence_name":"FHIR License","licence_id":314,"licence_url":"http://hl7.org/fhir/license.html","link_id":2067,"relation":"undefined"}],"grants":[{"id":6834,"fairsharing_record_id":1128,"organisation_id":1223,"relation":"maintains","created_at":"2021-09-30T09:28:15.694Z","updated_at":"2021-09-30T09:28:15.694Z","grant_id":null,"is_lead":true,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1129","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2021-11-24T13:14:27.084Z","metadata":{"doi":"10.25504/FAIRsharing.c5qpnc","name":"Non-Pharmacological Interventions","status":"deprecated","contacts":[{"contact_name":"The Loc NGUYEN","contact_email":"the-loc.nguyen@lirmm.fr"}],"homepage":"https://bioportal.bioontology.org/ontologies/NPI","identifier":1129,"description":"Terminologies of Non-Pharmacological Interventions","abbreviation":"NPI","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NPI","name":"NPI","portal":"BioPortal"}],"deprecation_date":"2021-03-24","deprecation_reason":"The project page and homepage for this resource no longer exists."},"legacy_ids":["bsg-000967","bsg-s000967"],"name":"FAIRsharing record for: Non-Pharmacological Interventions","abbreviation":"NPI","url":"https://fairsharing.org/10.25504/FAIRsharing.c5qpnc","doi":"10.25504/FAIRsharing.c5qpnc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminologies of Non-Pharmacological Interventions","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":6835,"fairsharing_record_id":1129,"organisation_id":3101,"relation":"maintains","created_at":"2021-09-30T09:28:15.726Z","updated_at":"2021-09-30T09:28:15.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6836,"fairsharing_record_id":1129,"organisation_id":1675,"relation":"maintains","created_at":"2021-09-30T09:28:15.759Z","updated_at":"2021-09-30T09:28:15.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":1675,"name":"Laboratory of Informatics, Robotics and Microelectronics of Montpellier (LIRMM)","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1130","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T19:56:11.000Z","updated_at":"2023-09-29T11:54:57.894Z","metadata":{"doi":"10.25504/FAIRsharing.f35b14","name":"Language resource management -- Semantic annotation framework (SemAF) -- Part 1: Time and events (SemAF-Time, ISO-TimeML)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37331.html","citations":[],"identifier":1130,"description":"Temporal information in natural language texts is an increasingly important component to the understanding of those texts. ISO 24617 (known as SemAF-Time) specifies a formalized XML-based markup language called ISO-TimeML, with a systematic way to extract and represent temporal information, as well as to facilitate the exchange of temporal information, both between operational language processing systems and between different temporal representation schemes. It was created to accommodate two pre-existing documents for annotating temporal information, TimeML 1.2.1 and TimeML Annotation Guidelines, into ISO international standards.","abbreviation":"ISO 24617-1:2012","support_links":[{"url":"http://www.timeml.org/publications/timeMLdocs/timeml_1.2.1.html","name":"TimeML 1.2.1 (pre-ISO standard)","type":"Help documentation"},{"url":"https://www.iso.org/contents/data/standard/03/73/37331.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2004},"legacy_ids":["bsg-001277","bsg-s001277"],"name":"FAIRsharing record for: Language resource management -- Semantic annotation framework (SemAF) -- Part 1: Time and events (SemAF-Time, ISO-TimeML)","abbreviation":"ISO 24617-1:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.f35b14","doi":"10.25504/FAIRsharing.f35b14","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Temporal information in natural language texts is an increasingly important component to the understanding of those texts. ISO 24617 (known as SemAF-Time) specifies a formalized XML-based markup language called ISO-TimeML, with a systematic way to extract and represent temporal information, as well as to facilitate the exchange of temporal information, both between operational language processing systems and between different temporal representation schemes. It was created to accommodate two pre-existing documents for annotating temporal information, TimeML 1.2.1 and TimeML Annotation Guidelines, into ISO international standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1393,"relation":"undefined"}],"grants":[{"id":6837,"fairsharing_record_id":1130,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:15.839Z","updated_at":"2021-09-30T09:28:15.839Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10919,"fairsharing_record_id":1130,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:08:52.718Z","updated_at":"2023-09-27T14:08:52.718Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1118","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:32.451Z","metadata":{"doi":"10.25504/FAIRsharing.67sssf","name":"InterLex","status":"in_development","contacts":[{"contact_name":"General Contact","contact_email":"info@scicrunch.org"}],"homepage":"https://scicrunch.org/scicrunch/interlex/dashboard","identifier":1118,"description":"The InterLex terminology is a lexicon of biomedical terms built on the foundation of NeuroLex and contains all of the existing NeuroLex terms. The initial entries in NeuroLex were built from the NIFSTD ontologies and BIRNLex (Biomedical Informatics Research Network Project Lexicon). Final content review from NeuroLex is still ongoing.","abbreviation":"InterLex","support_links":[{"url":"https://scicrunch.org/scicrunch/interlex/release-notes","name":"Term Release Notes","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-002584","bsg-s002584"],"name":"FAIRsharing record for: InterLex","abbreviation":"InterLex","url":"https://fairsharing.org/10.25504/FAIRsharing.67sssf","doi":"10.25504/FAIRsharing.67sssf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The InterLex terminology is a lexicon of biomedical terms built on the foundation of NeuroLex and contains all of the existing NeuroLex terms. The initial entries in NeuroLex were built from the NIFSTD ontologies and BIRNLex (Biomedical Informatics Research Network Project Lexicon). Final content review from NeuroLex is still ongoing.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11047},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11170}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Neurobiology","Biomedical Science"],"domains":["Imaging","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":893,"pubmed_id":24009581,"title":"NeuroLex.org: an online framework for neuroscience knowledge.","year":2013,"url":"http://doi.org/10.3389/fninf.2013.00018","authors":"Larson SD,Martone ME","journal":"Front Neuroinform","doi":"10.3389/fninf.2013.00018","created_at":"2021-09-30T08:23:58.689Z","updated_at":"2021-09-30T08:23:58.689Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":171,"relation":"undefined"},{"licence_name":"SciCrunch Terms of Service","licence_id":735,"licence_url":"https://scicrunch.org/page/terms","link_id":168,"relation":"undefined"}],"grants":[{"id":6811,"fairsharing_record_id":1118,"organisation_id":990,"relation":"maintains","created_at":"2021-09-30T09:28:14.949Z","updated_at":"2021-09-30T09:28:14.949Z","grant_id":null,"is_lead":true,"saved_state":{"id":990,"name":"FAIR Data Informatics Lab, University of California, San Diego, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1119","type":"fairsharing_records","attributes":{"created_at":"2020-02-13T13:46:06.000Z","updated_at":"2022-07-20T12:45:47.973Z","metadata":{"doi":"10.25504/FAIRsharing.J1aPiC","name":"FAANG metadata analysis specification","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"faang-dcc@ebi.ac.uk"}],"homepage":"https://github.com/FAANG/dcc-metadata/blob/master/docs/faang_analysis_metadata.md","identifier":1119,"description":"The FAANG metadata analysis specification describes the specification for all analysis metadata as part of the larger FAANG metadata guidance project. Analysis metadata needs to contain the following process attributes: input data (a list of files used as input and references to the experiment records in a data archive), reference data (e.g. genome assembly or gene set), and analysis protocol (a precise description of the analysis protocol).","abbreviation":null,"year_creation":2016,"associated_tools":[{"url":"http://www.ebi.ac.uk/vg/faang","name":"FAANG Metadata Validation Tool"}]},"legacy_ids":["bsg-001449","bsg-s001449"],"name":"FAIRsharing record for: FAANG metadata analysis specification","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.J1aPiC","doi":"10.25504/FAIRsharing.J1aPiC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAANG metadata analysis specification describes the specification for all analysis metadata as part of the larger FAANG metadata guidance project. Analysis metadata needs to contain the following process attributes: input data (a list of files used as input and references to the experiment records in a data archive), reference data (e.g. genome assembly or gene set), and analysis protocol (a precise description of the analysis protocol).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Analysis","Protocol","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Whole genome sequencing"],"taxonomies":["Bos taurus","Bubalus bubalis","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[],"licence_links":[{"licence_name":"FAANG Apache License","licence_id":308,"licence_url":"https://github.com/FAANG/validate-metadata/blob/master/LICENSE","link_id":1605,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":1604,"relation":"undefined"}],"grants":[{"id":6812,"fairsharing_record_id":1119,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:14.979Z","updated_at":"2021-09-30T09:28:14.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6813,"fairsharing_record_id":1119,"organisation_id":1069,"relation":"maintains","created_at":"2021-09-30T09:28:15.022Z","updated_at":"2021-09-30T09:28:15.022Z","grant_id":null,"is_lead":true,"saved_state":{"id":1069,"name":"Functional Annotation of Animal Genomes (FAANG) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1124","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2021-11-24T13:14:07.280Z","metadata":{"doi":"10.25504/FAIRsharing.9pm45h","name":"Diabetes Mellitus Diagnosis Ontology","status":"deprecated","contacts":[{"contact_name":"Shaker El-Sappagh","contact_email":"shaker_elsapagh@yahoo.com"}],"homepage":"https://link.springer.com/content/pdf/10.1186/s40535-016-0021-2.pdf","identifier":1124,"description":"An ontology for diagnosis of diabetes containing the diabetes related complications, symptoms, drugs, lab tests, etc.","abbreviation":"DDO","year_creation":2015,"deprecation_date":"2021-03-24","deprecation_reason":"This resource no longer exists in BioPortal, and a project homepage cannot be found."},"legacy_ids":["bsg-000881","bsg-s000881"],"name":"FAIRsharing record for: Diabetes Mellitus Diagnosis Ontology","abbreviation":"DDO","url":"https://fairsharing.org/10.25504/FAIRsharing.9pm45h","doi":"10.25504/FAIRsharing.9pm45h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for diagnosis of diabetes containing the diabetes related complications, symptoms, drugs, lab tests, etc.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Diabetology"],"domains":["Diagnosis","Diabetes mellitus"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Egypt","South Korea"],"publications":[{"id":2329,"pubmed_id":null,"title":"DDO: a diabetes mellitus diagnosis ontology","year":2016,"url":"https://link.springer.com/content/pdf/10.1186/s40535-016-0021-2.pdf","authors":"ShakerEl‑Sappagh and FarmanAli","journal":"Applied Informatics","doi":null,"created_at":"2021-09-30T08:26:45.942Z","updated_at":"2021-09-30T08:26:45.942Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1125","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T10:39:10.000Z","updated_at":"2023-06-02T15:14:58.473Z","metadata":{"doi":"10.25504/FAIRsharing.2QpmkQ","name":"Prehistory and Protohistory Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/905/en/","citations":[],"identifier":1125,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Prehistory and Protohistory\" FRANCIS database (1972-2015). It consists of 3093 entries mainly in 2 languages (English and French) grouped under 107 collections","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001406","bsg-s001406"],"name":"FAIRsharing record for: Prehistory and Protohistory Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2QpmkQ","doi":"10.25504/FAIRsharing.2QpmkQ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Prehistory and Protohistory\" FRANCIS database (1972-2015). It consists of 3093 entries mainly in 2 languages (English and French) grouped under 107 collections","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11291}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Prehistory","Ancient History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Protohistory"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1348,"relation":"undefined"}],"grants":[{"id":6830,"fairsharing_record_id":1125,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:15.569Z","updated_at":"2021-09-30T09:28:15.569Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6829,"fairsharing_record_id":1125,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:15.530Z","updated_at":"2021-09-30T09:28:15.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1126","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T12:43:26.624Z","metadata":{"doi":"10.25504/FAIRsharing.493qns","name":"Platynereis Developmental Stages","status":"in_development","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/developmental-stage-ontologies/tree/master/src/pdumdv","identifier":1126,"description":"Life cycle stages for Platynereis dumerilii. The status of this resource is \"in development\", confirmed via developer remarks within the GitHub project stating that the ontology is not ready.","abbreviation":"PDUMDV","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies","name":"GitHub Main Project site","type":"Github"},{"url":"https://github.com/obophenotype/developmental-stage-ontologies/wiki","name":"Main Project wiki","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDUMDV","name":"PDUMDV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pdumdv.html","name":"pdumdv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000766","bsg-s000766"],"name":"FAIRsharing record for: Platynereis Developmental Stages","abbreviation":"PDUMDV","url":"https://fairsharing.org/10.25504/FAIRsharing.493qns","doi":"10.25504/FAIRsharing.493qns","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Platynereis dumerilii. The status of this resource is \"in development\", confirmed via developer remarks within the GitHub project stating that the ontology is not ready.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science"],"domains":["Life cycle stage"],"taxonomies":["Platynereis dumerilii"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6831,"fairsharing_record_id":1126,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:28:15.601Z","updated_at":"2021-09-30T09:28:15.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1127","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:19:25.000Z","updated_at":"2022-12-13T10:25:45.279Z","metadata":{"doi":"10.25504/FAIRsharing.vVdc4Q","name":"IVOA Web Services Basic Profile","status":"deprecated","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/WSBasicProfile/","citations":[],"identifier":1127,"description":"The IVOA Web Services Basic Profile describes rules to take into account when implementing SOAP-based web services for the Virtual Observatory. It explains also how to check conformance to these rules. It can be read as a \"Guideline to VO Web Service Interoperability\" or a \"How to provide interoperable VO web services\".","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/documents/WSBasicProfile/20101216/REC-Basic-Profile-1.0-20101216.html","name":"View Standard","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2016-10-02","deprecation_reason":"The IVOA Web Services Basic Profile was deprecated in 2016. The reason for the deprecation is because of obsolete technology: the document describes the IVOA recommendation for implementing SOAP (Simple Object Access Protocol) web services. In the IVOA now, SOAP has been replaced with the REST (Representational State Transfer) as the best approach for implementing web services."},"legacy_ids":["bsg-001195","bsg-s001195"],"name":"FAIRsharing record for: IVOA Web Services Basic Profile","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.vVdc4Q","doi":"10.25504/FAIRsharing.vVdc4Q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA Web Services Basic Profile describes rules to take into account when implementing SOAP-based web services for the Virtual Observatory. It explains also how to check conformance to these rules. It can be read as a \"Guideline to VO Web Service Interoperability\" or a \"How to provide interoperable VO web services\".","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11464}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6833,"fairsharing_record_id":1127,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:15.655Z","updated_at":"2021-09-30T09:28:15.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6832,"fairsharing_record_id":1127,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:15.624Z","updated_at":"2021-09-30T09:28:15.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"895","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.388Z","metadata":{"doi":"10.25504/FAIRsharing.zj850n","name":"UniProtKB XML Format","status":"ready","contacts":[{"contact_name":"Uniprot staff","contact_email":"help@uniprot.org"}],"homepage":"http://www.uniprot.org/docs/uniprot.xsd","identifier":895,"description":"XML Schema definition for the UniProtKB XML format.","abbreviation":null,"support_links":[{"url":"http://www.uniprot.org/contact","type":"Contact form"}],"year_creation":2011},"legacy_ids":["bsg-000269","bsg-s000269"],"name":"FAIRsharing record for: UniProtKB XML Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zj850n","doi":"10.25504/FAIRsharing.zj850n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Schema definition for the UniProtKB XML format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6384,"fairsharing_record_id":895,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:27:58.747Z","updated_at":"2021-09-30T09:27:58.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"896","type":"fairsharing_records","attributes":{"created_at":"2018-04-09T18:00:09.000Z","updated_at":"2021-11-24T13:18:20.186Z","metadata":{"doi":"10.25504/FAIRsharing.mrpMBj","name":"Open mHealth","status":"ready","contacts":[{"contact_email":"simona@openmhealth.org"}],"homepage":"http://www.openmhealth.org/documentation/#/schema-docs/schema-library","identifier":896,"description":"Open Standard for Mobile Health Data. This standard is composed of a number of related schemas. Widely-used clinical measures were identified and clinical experts were consulted to identify the most important distinctions for the schemas' clinical use. Use cases were then defined that included these measures in new models of care enabled by mHealth technology. While there isn’t one “correct” schema for any given measure, they aim to offer an ideal format and description of digital health data for supporting clinical and self care.","abbreviation":"Open mHealth","support_links":[{"url":"https://groups.google.com/forum/#!forum/omh-developers","name":"Developer Mailing List","type":"Mailing list"},{"url":"http://www.openmhealth.org/documentation/#/schema-docs/schema-design-principles","name":"Schema Design Principles","type":"Help documentation"}],"year_creation":2015,"associated_tools":[{"url":"https://github.com/openmhealth/schemas","name":"Schema library"},{"url":"https://github.com/openmhealth/shimmer","name":"shimmer"}]},"legacy_ids":["bsg-001170","bsg-s001170"],"name":"FAIRsharing record for: Open mHealth","abbreviation":"Open mHealth","url":"https://fairsharing.org/10.25504/FAIRsharing.mrpMBj","doi":"10.25504/FAIRsharing.mrpMBj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Standard for Mobile Health Data. This standard is composed of a number of related schemas. Widely-used clinical measures were identified and clinical experts were consulted to identify the most important distinctions for the schemas' clinical use. Use cases were then defined that included these measures in new models of care enabled by mHealth technology. While there isn’t one “correct” schema for any given measure, they aim to offer an ideal format and description of digital health data for supporting clinical and self care.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Health Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1273,"relation":"undefined"}],"grants":[{"id":6385,"fairsharing_record_id":896,"organisation_id":2260,"relation":"maintains","created_at":"2021-09-30T09:27:58.786Z","updated_at":"2021-09-30T09:27:58.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":2260,"name":"Open mHealth","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6387,"fairsharing_record_id":896,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:58.855Z","updated_at":"2021-09-30T09:31:28.592Z","grant_id":1186,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"ACI-1640813","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8166,"fairsharing_record_id":896,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:31:17.875Z","updated_at":"2021-09-30T09:31:17.942Z","grant_id":1107,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"1U54EB020404","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6386,"fairsharing_record_id":896,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:27:58.818Z","updated_at":"2021-09-30T09:29:42.595Z","grant_id":369,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"1R24ES028492-01","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"897","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T18:07:10.000Z","updated_at":"2022-07-20T09:33:18.225Z","metadata":{"name":"Structured Vocabulary for information retrieval","status":"deprecated","contacts":[],"homepage":"https://shop.bsigroup.com/products/structured-vocabularies-for-information-retrieval-guide-exchange-formats-and-protocols-for-interoperability/standard","citations":[],"identifier":897,"description":"Structured Vocabulary for information retrieval (DD 8723-5) recommends a standard format for exchange of whole thesauri or subsets thereof. The format is applicable to thesauri that conform to BS 8723-2, utilizing any or all of the optional features described therein. Equally it supports multilingual thesauri displaying structural unity as described in BS 8723-4:2007, 4.2. DD 8723-5 also considers the interaction between a computer application acting as a server for a structured vocabulary (the server) and an application applying that structured vocabulary to a particular information retrieval problem (the client). It considers only the highest level of protocol, and assumes the existence of lower level network services and protocols that will be required to support computer-to-computer communication over a network. This publication is not to be regarded as a British Standard.","abbreviation":"DD 8723-5:2008","year_creation":2005,"deprecation_date":"2022-03-25","deprecation_reason":"This document has been withdrawn by the British Standards Institute, although it is still available to purchase."},"legacy_ids":["bsg-001272","bsg-s001272"],"name":"FAIRsharing record for: Structured Vocabulary for information retrieval","abbreviation":"DD 8723-5:2008","url":"https://fairsharing.org/fairsharing_records/897","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Structured Vocabulary for information retrieval (DD 8723-5) recommends a standard format for exchange of whole thesauri or subsets thereof. The format is applicable to thesauri that conform to BS 8723-2, utilizing any or all of the optional features described therein. Equally it supports multilingual thesauri displaying structural unity as described in BS 8723-4:2007, 4.2. DD 8723-5 also considers the interaction between a computer application acting as a server for a structured vocabulary (the server) and an application applying that structured vocabulary to a particular information retrieval problem (the client). It considers only the highest level of protocol, and assumes the existence of lower level network services and protocols that will be required to support computer-to-computer communication over a network. This publication is not to be regarded as a British Standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":["thesaurus"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6388,"fairsharing_record_id":897,"organisation_id":323,"relation":"maintains","created_at":"2021-09-30T09:27:58.887Z","updated_at":"2022-01-21T12:51:08.371Z","grant_id":null,"is_lead":true,"saved_state":{"id":323,"name":"British Standards Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"898","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.626Z","metadata":{"doi":"10.25504/FAIRsharing.hpmpyx","name":"Cancer Chemoprevention Ontology","status":"ready","contacts":[{"contact_name":"Dimitris Zeginis","contact_email":"zeginis@uom.gr"}],"homepage":"http://bioportal.bioontology.org/ontologies/CANCO","identifier":898,"description":"The Cancer Chemoprevention Ontology constitutes a vocabulary that is able to describe and semantically interconnect the different paradigms of the cancer chemoprevention domain.","abbreviation":"CanCO","support_links":[{"url":"http://www.semantic-web-journal.net/content/collaborative-development-common-semantic-model-interlinking-cancer-chemoprevention-linked-d","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CANCO","name":"CANCO","portal":"BioPortal"}]},"legacy_ids":["bsg-002800","bsg-s002800"],"name":"FAIRsharing record for: Cancer Chemoprevention Ontology","abbreviation":"CanCO","url":"https://fairsharing.org/10.25504/FAIRsharing.hpmpyx","doi":"10.25504/FAIRsharing.hpmpyx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer Chemoprevention Ontology constitutes a vocabulary that is able to describe and semantically interconnect the different paradigms of the cancer chemoprevention domain.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11723}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cheminformatics","Medicine","Health Science","Biomedical Science"],"domains":["Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Greece","Ireland"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"899","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:10:35.311Z","metadata":{"doi":"10.25504/FAIRsharing.b7evv9","name":"MeGO","status":"ready","contacts":[{"contact_name":"Ariane Toussaint","contact_email":"ariane.toussaint@ulb.ac.be"}],"homepage":"http://bioportal.bioontology.org/ontologies/MEGO/?p=summary","citations":[],"identifier":899,"description":"MeGO is dedicated to the functions of mobile genetic elements. The terms defined in MeGO are used to annotate phage and plasmid protein families in ACLAME. MeGO is a non-OBO ontology expanded from the Phage Ontology (PhiGO). ","abbreviation":"MeGO","support_links":[{"url":"http://aclame.ulb.ac.be/Forums/viewtopic.php?f=5\u0026t=2\u0026sid=592cd9a21fcaa003386b065c00b28349","type":"Forum"},{"url":"http://aclame.ulb.ac.be/Classification/mego.html","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEGO","name":"MEGO","portal":"BioPortal"}]},"legacy_ids":["bsg-002578","bsg-s002578"],"name":"FAIRsharing record for: MeGO","abbreviation":"MeGO","url":"https://fairsharing.org/10.25504/FAIRsharing.b7evv9","doi":"10.25504/FAIRsharing.b7evv9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MeGO is dedicated to the functions of mobile genetic elements. The terms defined in MeGO are used to annotate phage and plasmid protein families in ACLAME. MeGO is a non-OBO ontology expanded from the Phage Ontology (PhiGO). ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics"],"domains":["Gene Ontology enrichment","Plasmid","Transcript","Mobile genetic element"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1752,"pubmed_id":15727134,"title":"MEGO: gene functional module expression based on gene ontology.","year":2005,"url":"http://doi.org/10.2144/05382RR04","authors":"Tu K,Yu H,Zhu M","journal":"Biotechniques","doi":"10.2144/05382RR04","created_at":"2021-09-30T08:25:36.646Z","updated_at":"2021-09-30T08:25:36.646Z"}],"licence_links":[],"grants":[{"id":6389,"fairsharing_record_id":899,"organisation_id":1884,"relation":"maintains","created_at":"2021-09-30T09:27:58.973Z","updated_at":"2021-09-30T09:27:58.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":1884,"name":"Mobile genetic elements Ontology (MeGO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"900","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2023-01-03T11:12:51.429Z","metadata":{"doi":"10.25504/FAIRsharing.akmeb9","name":"Vertebrate Taxonomy Ontology","status":"ready","contacts":[{"contact_name":"James Balhoff","contact_email":"balhoff@nescent.org"}],"homepage":"https://gitlab.com/phenoscape/vto","citations":[],"identifier":900,"description":"The Vertebrate Taxonomy Ontology includes both extinct and extant vertebrates, aiming to provide one comprehensive hierarchy. The hierarchy backbone for extant taxa is based on the NCBI taxonomy. Since the NCBI taxonomy only includes species associated with archived genetic data, to complement this, we also incorporate taxonomic information across the vertebrates from the Paleobiology Database (PaleoDB). The Teleost Taxonomy Ontology (TTO) and AmphibiaWeb (AWeb) are incorporated to provide a more authoritative hierarchy and a richer set of names for specific taxonomic groups.","abbreviation":"VTO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VTO","name":"VTO","portal":"BioPortal"}]},"legacy_ids":["bsg-000960","bsg-s000960"],"name":"FAIRsharing record for: Vertebrate Taxonomy Ontology","abbreviation":"VTO","url":"https://fairsharing.org/10.25504/FAIRsharing.akmeb9","doi":"10.25504/FAIRsharing.akmeb9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vertebrate Taxonomy Ontology includes both extinct and extant vertebrates, aiming to provide one comprehensive hierarchy. The hierarchy backbone for extant taxa is based on the NCBI taxonomy. Since the NCBI taxonomy only includes species associated with archived genetic data, to complement this, we also incorporate taxonomic information across the vertebrates from the Paleobiology Database (PaleoDB). The Teleost Taxonomy Ontology (TTO) and AmphibiaWeb (AWeb) are incorporated to provide a more authoritative hierarchy and a richer set of names for specific taxonomic groups.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy"],"domains":["Bone"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"901","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-19T08:36:46.418Z","metadata":{"doi":"10.25504/FAIRsharing.9sdcx8","name":"Multiple Alignment Format","status":"ready","homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format5","identifier":901,"description":"The Multiple Alignment Format stores DNA level multiple alignments in an easily readable format between entire genomes. Unlike previous formats this resource can cope with forward and reverse strand directions, multiple pieces to the alignment, and so forth.","abbreviation":"MFA","support_links":[{"url":"http://genome.ucsc.edu/blog/","type":"Blog/News"},{"url":"http://genome.ucsc.edu/contacts.html","type":"Contact form"}]},"legacy_ids":["bsg-000242","bsg-s000242"],"name":"FAIRsharing record for: Multiple Alignment Format","abbreviation":"MFA","url":"https://fairsharing.org/10.25504/FAIRsharing.9sdcx8","doi":"10.25504/FAIRsharing.9sdcx8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Multiple Alignment Format stores DNA level multiple alignments in an easily readable format between entire genomes. Unlike previous formats this resource can cope with forward and reverse strand directions, multiple pieces to the alignment, and so forth.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12438}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UCSC Genome Browser Code - License required for commercial use","licence_id":801,"licence_url":"http://genome.ucsc.edu/license/","link_id":130,"relation":"undefined"}],"grants":[{"id":6393,"fairsharing_record_id":901,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:59.105Z","updated_at":"2021-09-30T09:27:59.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6390,"fairsharing_record_id":901,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:27:59.010Z","updated_at":"2021-09-30T09:27:59.010Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6392,"fairsharing_record_id":901,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:59.076Z","updated_at":"2021-09-30T09:27:59.076Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10867,"fairsharing_record_id":901,"organisation_id":1118,"relation":"maintains","created_at":"2023-09-18T14:14:33.635Z","updated_at":"2023-09-18T14:14:33.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"875","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:24.627Z","metadata":{"doi":"10.25504/FAIRsharing.pmvppd","name":"Breast tissue cell lines","status":"ready","contacts":[{"contact_name":"Arathi Raghunath","contact_email":"arathi@molecularconnections.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1438","identifier":875,"description":"List of cell lines derived from breast tissue, both normal and pathological. The ontology in built in OWL with cross relation to classes- genetic variation, pathological condition, genes, chemicals and drugs.","abbreviation":"MCBCC","support_links":[{"url":"http://www.molecularconnections.com/?page_id=13442","type":"Contact form"}],"year_creation":2010},"legacy_ids":["bsg-002656","bsg-s002656"],"name":"FAIRsharing record for: Breast tissue cell lines","abbreviation":"MCBCC","url":"https://fairsharing.org/10.25504/FAIRsharing.pmvppd","doi":"10.25504/FAIRsharing.pmvppd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: List of cell lines derived from breast tissue, both normal and pathological. The ontology in built in OWL with cross relation to classes- genetic variation, pathological condition, genes, chemicals and drugs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Cell line","Cell","Genetic polymorphism","Drug interaction","Disease","Tissue","Mammary gland","Chemical-gene association"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":6351,"fairsharing_record_id":875,"organisation_id":1887,"relation":"maintains","created_at":"2021-09-30T09:27:57.512Z","updated_at":"2021-09-30T09:27:57.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":1887,"name":"Molecular Connections, Bangalore, India","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"876","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.578Z","metadata":{"doi":"10.25504/FAIRsharing.mxx5rp","name":"Amphibian gross Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"David Blackburn","contact_email":"david.c.blackburn@gmail.com","contact_orcid":"0000-0002-1810-9886"}],"homepage":"http://bioportal.bioontology.org/ontologies/AAO","identifier":876,"description":"A structured controlled vocabulary of the anatomy of Amphibians. Note that AAO has been integrated into Uberon.","abbreviation":"AAO","year_creation":2005,"deprecation_date":"2015-03-17","deprecation_reason":"Superceded by Uberon (https://fairsharing.org/FAIRsharing.4c0b6b)."},"legacy_ids":["bsg-000019","bsg-s000019"],"name":"FAIRsharing record for: Amphibian gross Anatomy Ontology","abbreviation":"AAO","url":"https://fairsharing.org/10.25504/FAIRsharing.mxx5rp","doi":"10.25504/FAIRsharing.mxx5rp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy of Amphibians. Note that AAO has been integrated into Uberon.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Amphibia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":1200,"pubmed_id":null,"title":"AN ANATOMICAL ONTOLOGY FOR AMPHIBIANS","year":2006,"url":"http://doi.org/10.1142/9789812772435_0035","authors":"ANNE M. MAGLIA, JENNIFER L. LEOPOLD, L. ANALÍA PUGENER, SUSAN GAUCH","journal":"Biocomputing","doi":"10.1142/9789812772435_0035","created_at":"2021-09-30T08:24:33.716Z","updated_at":"2021-09-30T08:24:33.716Z"}],"licence_links":[],"grants":[{"id":6352,"fairsharing_record_id":876,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:57.554Z","updated_at":"2021-09-30T09:32:29.462Z","grant_id":1643,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0445752","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"877","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.156Z","metadata":{"doi":"10.25504/FAIRsharing.nn7bf2","name":"Standard Flowgram Format","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"trace@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/Traces/trace.cgi?cmd=show\u0026f=formats\u0026m=doc\u0026s=format#sff","identifier":877,"description":"Standard flowgram format (SFF) is a binary file format used to encode results of pyrosequencing from the 454 Life Sciences platform for high-throughput sequencing. SFF files can be viewed, edited and converted with DNA Baser SFF Workbench (graphic tool), or converted to FASTQ format with sff2fastq or seq_crumbs.","abbreviation":null},"legacy_ids":["bsg-000263","bsg-s000263"],"name":"FAIRsharing record for: Standard Flowgram Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nn7bf2","doi":"10.25504/FAIRsharing.nn7bf2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard flowgram format (SFF) is a binary file format used to encode results of pyrosequencing from the 454 Life Sciences platform for high-throughput sequencing. SFF files can be viewed, edited and converted with DNA Baser SFF Workbench (graphic tool), or converted to FASTQ format with sff2fastq or seq_crumbs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"878","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.216Z","metadata":{"doi":"10.25504/FAIRsharing.2etax0","name":"INOH Molecule Role","status":"deprecated","contacts":[{"contact_name":"Ken Ichiro Fukuda","contact_email":"fukuda-cbrc@aist.go.jp"}],"homepage":"http://purl.bioontology.org/ontology/IMR","identifier":878,"description":"A structured controlled vocabulary of concrete protein names and generic (abstract) protein names. This ontology is a INOH pathway annotation ontology, one of a set of ontologies intended to be used in pathway data annotation to ease data integration. IMR is part of the BioPAX working group.","abbreviation":"IMR","year_creation":2004,"deprecation_date":"2016-03-09","deprecation_reason":"This resource is no longer maintained and has been listed as deprecated by the OBO Foundry (http://obofoundry.org/ontology/imr.html). Please search BioSharing (for example, https://biosharing.org/search/?q=molecule+role\u0026content=standard) for alternatives."},"legacy_ids":["bsg-000135","bsg-s000135"],"name":"FAIRsharing record for: INOH Molecule Role","abbreviation":"IMR","url":"https://fairsharing.org/10.25504/FAIRsharing.2etax0","doi":"10.25504/FAIRsharing.2etax0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of concrete protein names and generic (abstract) protein names. This ontology is a INOH pathway annotation ontology, one of a set of ontologies intended to be used in pathway data annotation to ease data integration. IMR is part of the BioPAX working group.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States"],"publications":[{"id":981,"pubmed_id":18629146,"title":"The molecule role ontology: an ontology for annotation of signal transduction pathway molecules in the scientific literature.","year":2008,"url":"http://doi.org/10.1002/cfg.432","authors":"Yamamoto S,Asanuma T,Takagi T,Fukuda KI","journal":"Comp Funct Genomics","doi":"10.1002/cfg.432","created_at":"2021-09-30T08:24:08.547Z","updated_at":"2021-09-30T08:24:08.547Z"}],"licence_links":[],"grants":[{"id":6353,"fairsharing_record_id":878,"organisation_id":259,"relation":"maintains","created_at":"2021-09-30T09:27:57.595Z","updated_at":"2021-09-30T09:27:57.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":259,"name":"Biological Pathway Exchange (BioPAX) community","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6354,"fairsharing_record_id":878,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:27:57.633Z","updated_at":"2021-09-30T09:27:57.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"879","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-14T09:58:45.223Z","metadata":{"doi":"10.25504/FAIRsharing.n2y9dd","name":"Nimblegen Design File Format","status":"deprecated","contacts":[],"homepage":"http://mtweb.cs.ucl.ac.uk/mus/mus/binnaz/CNV/NimbleGene/DATA/OID8421-2/Documentation/NimbleGen_data_formats.pdf","citations":[],"identifier":879,"description":"NimbleGen Design File Format is a standard data file format. NimbleGen is now a trademark of Roche.","abbreviation":null,"year_creation":2004,"deprecation_date":"2022-01-13","deprecation_reason":"Roche NimbleGen Design File Format seems to be deprecated on the Roche website. Please get in touch if you have further information."},"legacy_ids":["bsg-000248","bsg-s000248"],"name":"FAIRsharing record for: Nimblegen Design File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.n2y9dd","doi":"10.25504/FAIRsharing.n2y9dd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NimbleGen Design File Format is a standard data file format. NimbleGen is now a trademark of Roche.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12429}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Expression data","Array design"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8724,"fairsharing_record_id":879,"organisation_id":2455,"relation":"maintains","created_at":"2022-01-13T14:53:30.897Z","updated_at":"2022-01-13T14:53:30.897Z","grant_id":null,"is_lead":true,"saved_state":{"id":2455,"name":"Roche","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"888","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-10-10T20:05:27.046Z","metadata":{"doi":"10.25504/FAIRsharing.kkq6pw","name":"Sickle Cell Disease Ontology","status":"ready","contacts":[{"contact_name":"Jade Hotchkiss","contact_email":"giant.plankton@gmail.com"}],"homepage":"http://scdontology.h3abionet.org","citations":[],"identifier":888,"description":"The Sickle Cell Disease Ontology (SCDO) project is a collaboration between H3ABioNet (Pan African Bioinformatics Network) and SPAN (Sickle Cell Disease Pan African Network). The SCDO is currently under development and its purpose is to: 1) establish community standardized SCD terms and descriptions, 2) establish canonical and hierarchical representation of knowledge on SCD, 3) links to other ontologies and bodies of work such as DO, PhenX MeSH, ICD, NCI’s thesaurus, SNOMED and OMIM. ","abbreviation":"SCDO","support_links":[{"url":"https://scdontology.h3abionet.org/index.php/contact-us/","name":"Contact Form","type":"Contact form"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SCDO","name":"SCDO","portal":"BioPortal"}]},"legacy_ids":["bsg-000948","bsg-s000948"],"name":"FAIRsharing record for: Sickle Cell Disease Ontology","abbreviation":"SCDO","url":"https://fairsharing.org/10.25504/FAIRsharing.kkq6pw","doi":"10.25504/FAIRsharing.kkq6pw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sickle Cell Disease Ontology (SCDO) project is a collaboration between H3ABioNet (Pan African Bioinformatics Network) and SPAN (Sickle Cell Disease Pan African Network). The SCDO is currently under development and its purpose is to: 1) establish community standardized SCD terms and descriptions, 2) establish canonical and hierarchical representation of knowledge on SCD, 3) links to other ontologies and bodies of work such as DO, PhenX MeSH, ICD, NCI’s thesaurus, SNOMED and OMIM. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":["sickle cell disease"],"countries":["Worldwide"],"publications":[{"id":3498,"pubmed_id":35363306,"title":"The Sickle Cell Disease Ontology: recent development and expansion of the universal sickle cell knowledge representation.","year":2022,"url":"https://doi.org/10.1093/database/baac014","authors":"Mazandu GK, Hotchkiss J, Nembaware V, Wonkam A, Mulder N","journal":"Database : the journal of biological databases and curation","doi":"10.1093/database/baac014","created_at":"2022-07-29T14:45:00.913Z","updated_at":"2022-07-29T14:45:00.913Z"},{"id":3499,"pubmed_id":33021900,"title":"The Sickle Cell Disease Ontology: Enabling Collaborative Research and Co-Designing of New Planetary Health Applications.","year":2020,"url":"https://doi.org/10.1089/omi.2020.0153","authors":"Nembaware V, Mazandu GK, Hotchkiss J, Safari Serufuri JM, Kent J, Kengne AP, Anie K, Munung NS, Bukini D, Bitoungui VJN, Munube D, Chirwa U, Chunda-Liyoka C, Jonathan A, Flor-Park MV, Esoh KK, Jonas M, Mnika K, Oosterwyk C, Masamu U, Morrice J, Uwineza A, Nguweneza A, Banda K, Nyanor I, Adjei DN, Siebu NE, Nkanyemka M, Kuona P, Tayo BO, Campbell A, Oron AP, Nnodu OE, Painstil V, Makani J, Mulder N, Wonkam A","journal":"Omics : a journal of integrative biology","doi":"10.1089/omi.2020.0153","created_at":"2022-07-29T14:45:12.772Z","updated_at":"2022-07-29T14:45:12.772Z"},{"id":3500,"pubmed_id":31769834,"title":"The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation.","year":2019,"url":"https://doi.org/10.1093/database/baz118","authors":"Sickle Cell Disease Ontology Working Group.","journal":"Database : the journal of biological databases and curation","doi":"10.1093/database/baz118","created_at":"2022-07-29T14:45:29.146Z","updated_at":"2022-07-29T14:45:29.146Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2768,"relation":"applies_to_content"}],"grants":[{"id":9813,"fairsharing_record_id":888,"organisation_id":1207,"relation":"maintains","created_at":"2022-08-17T07:46:50.728Z","updated_at":"2022-08-17T07:46:50.728Z","grant_id":null,"is_lead":false,"saved_state":{"id":1207,"name":"H3ABioNet","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbWtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--69320a8be8ca6a407eaf142714307b4c7e6b5f45/cropped-Screenshot-from-2020-05-23-20-20-32-2.png?disposition=inline","exhaustive_licences":false}},{"id":"890","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:29:34.558Z","metadata":{"doi":"10.25504/FAIRsharing.y3vp4j","name":"Ontology of Language Disorder in Autism","status":"deprecated","contacts":[{"contact_name":"Hari Cohly","contact_email":"hari.cohly@jsums.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1398","citations":[],"identifier":890,"description":"Language terms used in the domain of autism. The language terms were obtained via text mining and automatic retrieval of terms from the corpus of PubMed abstracts.","abbreviation":"LDA","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LDA","name":"LDA","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology has been inactive since 2009, and a suitable alternative homepage cannot be found, therefore we have deprecated this record. Please get in touch with us if you have any information."},"legacy_ids":["bsg-002637","bsg-s002637"],"name":"FAIRsharing record for: Ontology of Language Disorder in Autism","abbreviation":"LDA","url":"https://fairsharing.org/10.25504/FAIRsharing.y3vp4j","doi":"10.25504/FAIRsharing.y3vp4j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Language terms used in the domain of autism. The language terms were obtained via text mining and automatic retrieval of terms from the corpus of PubMed abstracts.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Text mining","Autistic disorder","Language disorder","Natural language processing","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"891","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.300Z","metadata":{"doi":"10.25504/FAIRsharing.mm72as","name":"Interaction Network Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://sourceforge.net/projects/ino/","identifier":891,"description":"The Interaction Network Ontology (INO) aims to standardize interaction network annotation, integrate various interaction network data, and support computer-assisted reasoning. It models general interactions (e.g., molecular interactions) and interaction networks (e.g., Bayesian network). INO is aligned with the Basic Formal Ontology (BFO) and imports terms from 10 other existing ontologies, and includes over 500 terms. In terms of interaction-related terms, INO imports and aligns PSI-MI and GO interaction terms and includes over 100 newly generated ontology terms.","abbreviation":"INO","support_links":[{"url":"https://sourceforge.net/p/ino/mailman/","name":"Mailing list","type":"Mailing list"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/INO","name":"INO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ino.html","name":"ino","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002674","bsg-s002674"],"name":"FAIRsharing record for: Interaction Network Ontology","abbreviation":"INO","url":"https://fairsharing.org/10.25504/FAIRsharing.mm72as","doi":"10.25504/FAIRsharing.mm72as","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Interaction Network Ontology (INO) aims to standardize interaction network annotation, integrate various interaction network data, and support computer-assisted reasoning. It models general interactions (e.g., molecular interactions) and interaction networks (e.g., Bayesian network). INO is aligned with the Basic Formal Ontology (BFO) and imports terms from 10 other existing ontologies, and includes over 500 terms. In terms of interaction-related terms, INO imports and aligns PSI-MI and GO interaction terms and includes over 100 newly generated ontology terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Network model","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Turkey","United States"],"publications":[{"id":1271,"pubmed_id":28031747,"title":"The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature.","year":2016,"url":"http://doi.org/10.1186/s13040-016-0118-0","authors":"Ozgur A,Hur J,He Y","journal":"BioData Min","doi":"10.1186/s13040-016-0118-0","created_at":"2021-09-30T08:24:41.909Z","updated_at":"2021-09-30T08:24:41.909Z"},{"id":1281,"pubmed_id":25785184,"title":"Development and application of an interaction network ontology for literature mining of vaccine-associated gene-gene interactions.","year":2015,"url":"http://doi.org/10.1186/2041-1480-6-2","authors":"Hur J,Ozgur A,Xiang Z,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-6-2","created_at":"2021-09-30T08:24:42.984Z","updated_at":"2021-09-30T08:24:42.984Z"},{"id":1770,"pubmed_id":21624163,"title":"Mining of vaccine-associated IFN-gamma gene interaction networks using the Vaccine Ontology.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-S2-S8","authors":"Ozgur A,Xiang Z,Radev DR,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-S2-S8","created_at":"2021-09-30T08:25:38.594Z","updated_at":"2021-09-30T08:25:38.594Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1617,"relation":"undefined"}],"grants":[{"id":6365,"fairsharing_record_id":891,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:58.055Z","updated_at":"2021-09-30T09:27:58.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6369,"fairsharing_record_id":891,"organisation_id":3095,"relation":"maintains","created_at":"2021-09-30T09:27:58.190Z","updated_at":"2021-09-30T09:27:58.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6366,"fairsharing_record_id":891,"organisation_id":683,"relation":"maintains","created_at":"2021-09-30T09:27:58.096Z","updated_at":"2021-09-30T09:27:58.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":683,"name":"Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6367,"fairsharing_record_id":891,"organisation_id":292,"relation":"maintains","created_at":"2021-09-30T09:27:58.134Z","updated_at":"2021-09-30T09:27:58.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":292,"name":"Bogazici University, Istanbul, Turkey","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6368,"fairsharing_record_id":891,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:58.166Z","updated_at":"2021-09-30T09:29:28.618Z","grant_id":262,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"880","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.503Z","metadata":{"doi":"10.25504/FAIRsharing.7xdxc2","name":"Portable Network Graphics","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"newt@pobox.com"}],"homepage":"http://www.libpng.org/pub/png/","identifier":880,"description":"Portable Network Graphics (PNG) is a raster graphics file format that supports lossless data compression. PNG was created as an improved, non-patented replacement for Graphics Interchange Format (GIF), and is the most used lossless image compression format on the Internet.","abbreviation":null,"support_links":[{"url":"http://www.libpng.org/pub/png/png-sitemap.html#info","type":"Help documentation"}],"year_creation":1995},"legacy_ids":["bsg-000206","bsg-s000206"],"name":"FAIRsharing record for: Portable Network Graphics","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7xdxc2","doi":"10.25504/FAIRsharing.7xdxc2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Portable Network Graphics (PNG) is a raster graphics file format that supports lossless data compression. PNG was created as an improved, non-patented replacement for Graphics Interchange Format (GIF), and is the most used lossless image compression format on the Internet.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"881","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:36.871Z","metadata":{"doi":"10.25504/FAIRsharing.ckg5a2","name":"Minimal Metagenome Sequence Analysis Standard","status":"uncertain","contacts":[{"contact_name":"Jeroen Raes","contact_email":"raes@embl.de"}],"homepage":"http://mibbi.sf.net/projects/MINIMESS.shtml","identifier":881,"description":"A proposed set of minimal standard analyses necessary for proper interpretation of meta-omic data and to allow comparative metagenomics and metatranscriptomics. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"MINIMESS","support_links":[{"url":"https://sourceforge.net/p/mibbi/discussion/661432/","type":"Forum"},{"url":"http://mibbi.sourceforge.net/foundry.shtml","type":"Training documentation"}],"year_creation":2007},"legacy_ids":["bsg-000176","bsg-s000176"],"name":"FAIRsharing record for: Minimal Metagenome Sequence Analysis Standard","abbreviation":"MINIMESS","url":"https://fairsharing.org/10.25504/FAIRsharing.ckg5a2","doi":"10.25504/FAIRsharing.ckg5a2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A proposed set of minimal standard analyses necessary for proper interpretation of meta-omic data and to allow comparative metagenomics and metatranscriptomics. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11573}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Phylogenetics","Biodiversity","Computational Biology","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Data transformation","Metagenome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":855,"pubmed_id":17936679,"title":"Get the most out of your metagenome: computational analysis of environmental sequence data.","year":2007,"url":"http://doi.org/10.1016/j.mib.2007.09.001","authors":"Raes J,Foerstner KU,Bork P","journal":"Curr Opin Microbiol","doi":"10.1016/j.mib.2007.09.001","created_at":"2021-09-30T08:23:54.362Z","updated_at":"2021-09-30T08:23:54.362Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"882","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:29:37.455Z","metadata":{"doi":"10.25504/FAIRsharing.3ftws4","name":"Ontology of Geographical Region","status":"deprecated","contacts":[{"contact_name":"Yu Lin","contact_email":"linyu@cdb.riken.jp"}],"homepage":"http://bioportal.bioontology.org/ontologies/1087","citations":[],"identifier":882,"description":"This OWL ontology classified the geograhical regions related vocabularies extracted from UMLS. It must be used with other two ontologies, in the case of diabetes: the Ontology of Glucose Metabolism Disorder (OGMD) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","abbreviation":"OGR","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGR","name":"OGR","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology's partner ontologies are considered deprecated or inactive by the OBO Foundry, and this ontology has not been updated since 2009. As such we have deprecated this record (https://obofoundry.org/ontology/ogi.html, https://obofoundry.org/ontology/ogsf.html). Please get in touch with us if you have additional information."},"legacy_ids":["bsg-002624","bsg-s002624"],"name":"FAIRsharing record for: Ontology of Geographical Region","abbreviation":"OGR","url":"https://fairsharing.org/10.25504/FAIRsharing.3ftws4","doi":"10.25504/FAIRsharing.3ftws4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This OWL ontology classified the geograhical regions related vocabularies extracted from UMLS. It must be used with other two ontologies, in the case of diabetes: the Ontology of Glucose Metabolism Disorder (OGMD) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science","Biomedical Science"],"domains":["Geographical location","Diabetes mellitus"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"883","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T10:57:37.000Z","updated_at":"2022-02-08T10:53:30.442Z","metadata":{"doi":"10.25504/FAIRsharing.1ece03","name":"COVID-19 Case Record Form","status":"ready","homepage":"https://media.tghn.org/medialibrary/2020/03/ISARIC_COVID-19_CRF_V1.3_24Feb2020.pdf","identifier":883,"description":"The ISARIC-WHO Case Record Form (CRF) should be used to collect data on suspected or confirmed cases of COVID-19. This form is in use across dozens of countries and research consortia including SPRINT SARI, ALERRT and Global CCP, aligning the collection of health data to better characterise the spectrum of disease and optimise patient management. The form is available in multiple languages. Data can be entered electronically to the data platform as below.","abbreviation":"CRF","support_links":[{"url":"https://isaric.tghn.org/contact/","name":"Contact Us","type":"Contact form"}],"year_creation":2020},"legacy_ids":["bsg-001458","bsg-s001458"],"name":"FAIRsharing record for: COVID-19 Case Record Form","abbreviation":"CRF","url":"https://fairsharing.org/10.25504/FAIRsharing.1ece03","doi":"10.25504/FAIRsharing.1ece03","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ISARIC-WHO Case Record Form (CRF) should be used to collect data on suspected or confirmed cases of COVID-19. This form is in use across dozens of countries and research consortia including SPRINT SARI, ALERRT and Global CCP, aligning the collection of health data to better characterise the spectrum of disease and optimise patient management. The form is available in multiple languages. Data can be entered electronically to the data platform as below.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18280},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12286},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12556}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Public Health","Health Science","Global Health","Primary Health Care","Virology","Epidemiology","Medical Informatics"],"domains":["Electronic health record","Patient care"],"taxonomies":["Coronaviridae","Homo sapiens","Viruses"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":112,"relation":"undefined"}],"grants":[{"id":6356,"fairsharing_record_id":883,"organisation_id":1554,"relation":"maintains","created_at":"2021-09-30T09:27:57.741Z","updated_at":"2021-09-30T09:27:57.741Z","grant_id":null,"is_lead":false,"saved_state":{"id":1554,"name":"ISARIC","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"902","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T12:04:33.000Z","updated_at":"2022-02-08T10:53:38.516Z","metadata":{"doi":"10.25504/FAIRsharing.9a51cf","name":"CAPACITY CRF","status":"ready","homepage":"https://capacity-covid.eu/","identifier":902,"description":"An extension of the ISARIC-WHO Case Record Form (CRF) for COVID-19 patient data. This extension collects data regarding the cardiovascular history, diagnostic information and occurrence of cardiovascular complications in COVID-19 patients. By collecting this information in a standardized manner, CAPACITY can aid in providing more insight in (1) the incidence of cardiovascular complications in patients with COVID-19, and (2) the vulnerability and clinical course of COVID-19 in patients with an underlying cardiovascular disease.","abbreviation":"CAPACITY CRF","support_links":[{"url":"https://capacity-covid.eu/contact/","name":"Contact us","type":"Contact form"}],"year_creation":2020},"legacy_ids":["bsg-001459","bsg-s001459"],"name":"FAIRsharing record for: CAPACITY CRF","abbreviation":"CAPACITY CRF","url":"https://fairsharing.org/10.25504/FAIRsharing.9a51cf","doi":"10.25504/FAIRsharing.9a51cf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An extension of the ISARIC-WHO Case Record Form (CRF) for COVID-19 patient data. This extension collects data regarding the cardiovascular history, diagnostic information and occurrence of cardiovascular complications in COVID-19 patients. By collecting this information in a standardized manner, CAPACITY can aid in providing more insight in (1) the incidence of cardiovascular complications in patients with COVID-19, and (2) the vulnerability and clinical course of COVID-19 in patients with an underlying cardiovascular disease.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12287},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12557}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Cardiology","Health Science","Global Health","Virology","Epidemiology","Medical Informatics"],"domains":["Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":6395,"fairsharing_record_id":902,"organisation_id":791,"relation":"maintains","created_at":"2021-09-30T09:27:59.158Z","updated_at":"2021-09-30T09:27:59.158Z","grant_id":null,"is_lead":false,"saved_state":{"id":791,"name":"Dutch Association for Cardiology (NVVC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6398,"fairsharing_record_id":902,"organisation_id":2128,"relation":"maintains","created_at":"2021-09-30T09:27:59.272Z","updated_at":"2021-09-30T09:27:59.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":2128,"name":"Netherlands Heart Institute - Durrer Center","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6394,"fairsharing_record_id":902,"organisation_id":792,"relation":"maintains","created_at":"2021-09-30T09:27:59.134Z","updated_at":"2021-09-30T09:27:59.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":792,"name":"Dutch CardioVascular Alliance (DCVA)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6396,"fairsharing_record_id":902,"organisation_id":798,"relation":"maintains","created_at":"2021-09-30T09:27:59.189Z","updated_at":"2021-09-30T09:27:59.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":798,"name":"Dutch Network for Cardiovascular Research (WCN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6397,"fairsharing_record_id":902,"organisation_id":2129,"relation":"maintains","created_at":"2021-09-30T09:27:59.231Z","updated_at":"2021-09-30T09:27:59.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":2129,"name":"Netherlands Heart Registration (NHR)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6399,"fairsharing_record_id":902,"organisation_id":1211,"relation":"maintains","created_at":"2021-09-30T09:27:59.311Z","updated_at":"2021-09-30T09:27:59.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":1211,"name":"Harteraad","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"903","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:02.241Z","metadata":{"doi":"10.25504/FAIRsharing.vh9jbb","name":"Ontology for Genetic Interval","status":"deprecated","contacts":[{"contact_name":"Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"http://purl.bioontology.org/ontology/OGI","citations":[],"identifier":903,"description":"Using BFO (Basic Formal Ontology) as its upper-level ontology, the Ontology for Genetic Interval (OGI) represents gene as an entity with its 3D shape, topography, and primary DNA sequence as the foundation for its 3D structure. There is no official homepage for this resource, and it is not currently in active development. However, the maintainer has described it as available for use via BioPortal and OBO Foundry.","abbreviation":"OGI","support_links":[{"url":"https://code.google.com/archive/p/ontology-for-genetic-interval/","name":"Google Code Archive","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGI","name":"OGI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogi.html","name":"ogi","portal":"OBO Foundry"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology is considered deprecated by the OBO Foundry and as such we have deprecated this record (https://obofoundry.org/ontology/ogi.html). Please get in touch with us if you have additional information."},"legacy_ids":["bsg-000091","bsg-s000091"],"name":"FAIRsharing record for: Ontology for Genetic Interval","abbreviation":"OGI","url":"https://fairsharing.org/10.25504/FAIRsharing.vh9jbb","doi":"10.25504/FAIRsharing.vh9jbb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Using BFO (Basic Formal Ontology) as its upper-level ontology, the Ontology for Genetic Interval (OGI) represents gene as an entity with its 3D shape, topography, and primary DNA sequence as the foundation for its 3D structure. There is no official homepage for this resource, and it is not currently in active development. However, the maintainer has described it as available for use via BioPortal and OBO Foundry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Life Science"],"domains":["Molecular structure","Nucleic acid sequence","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":131,"relation":"undefined"}],"grants":[{"id":6402,"fairsharing_record_id":903,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:59.432Z","updated_at":"2021-09-30T09:27:59.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6400,"fairsharing_record_id":903,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:27:59.348Z","updated_at":"2021-09-30T09:27:59.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11571,"fairsharing_record_id":903,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:01.680Z","updated_at":"2024-03-21T13:59:02.182Z","grant_id":1272,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"http://www.bioontology.org","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"904","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T18:36:14.000Z","updated_at":"2023-09-29T11:55:01.569Z","metadata":{"doi":"10.25504/FAIRsharing.3c6e67","name":"Language resource management -- Syntactic annotation framework (SynAF) -- Part 1: Syntactic model","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/62508.html","citations":[],"identifier":904,"description":"ISO 24615-1:2014 describes the syntactic annotation framework (SynAF), a high level model for representing the syntactic annotation of linguistic data, with the objective of supporting interoperability across language resources or language processing components. ISO 24615-1:2014 is complementary and closely related to ISO 24611 (MAF, morpho-syntactic annotation framework) and provides a metamodel for syntactic representations as well as reference data categories for representing both constituency and dependency information in sentences or other comparable utterances and segments.","abbreviation":"ISO 24615-1:2014","support_links":[{"url":"https://www.iso.org/contents/data/standard/06/25/62508.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001273","bsg-s001273"],"name":"FAIRsharing record for: Language resource management -- Syntactic annotation framework (SynAF) -- Part 1: Syntactic model","abbreviation":"ISO 24615-1:2014","url":"https://fairsharing.org/10.25504/FAIRsharing.3c6e67","doi":"10.25504/FAIRsharing.3c6e67","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24615-1:2014 describes the syntactic annotation framework (SynAF), a high level model for representing the syntactic annotation of linguistic data, with the objective of supporting interoperability across language resources or language processing components. ISO 24615-1:2014 is complementary and closely related to ISO 24611 (MAF, morpho-syntactic annotation framework) and provides a metamodel for syntactic representations as well as reference data categories for representing both constituency and dependency information in sentences or other comparable utterances and segments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1219,"relation":"undefined"}],"grants":[{"id":6403,"fairsharing_record_id":904,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:27:59.472Z","updated_at":"2021-09-30T09:27:59.472Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10939,"fairsharing_record_id":904,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:48:30.579Z","updated_at":"2023-09-27T14:48:30.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"871","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T20:56:41.000Z","updated_at":"2022-07-20T11:37:22.363Z","metadata":{"doi":"10.25504/FAIRsharing.5e7bdc","name":"World Meteorological Organization Core Metadata Profile","status":"ready","contacts":[{"contact_name":"Peiliang Shi","contact_email":"pshi@wmo.int"}],"homepage":"https://wis.wmo.int/2012/metadata/","citations":[],"identifier":871,"description":"The WMO Core Profile of the 19115:2003 Geographic information – Metadata standard is used by the WMO Information System (WIS) to create a catalogue of all information that is made available through the WIS. Version 1.3 was approved by Executive Council in May 2013. This profile provides a general definition for directory searches and exchange that should be applicable to a wide variety of WMO data sets.","abbreviation":"WMO Core Profile","support_links":[{"url":"https://old.wmo.int/wiswiki/tiki-index.php%3Fpage=WmoCoreMetadata.html","name":"WIS Wiki (Archive)","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-001321","bsg-s001321"],"name":"FAIRsharing record for: World Meteorological Organization Core Metadata Profile","abbreviation":"WMO Core Profile","url":"https://fairsharing.org/10.25504/FAIRsharing.5e7bdc","doi":"10.25504/FAIRsharing.5e7bdc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WMO Core Profile of the 19115:2003 Geographic information – Metadata standard is used by the WMO Information System (WIS) to create a catalogue of all information that is made available through the WIS. Version 1.3 was approved by Executive Council in May 2013. This profile provides a general definition for directory searches and exchange that should be applicable to a wide variety of WMO data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Meteorology","Earth Science","Atmospheric Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"WMO Copyright Notice","licence_id":866,"licence_url":"https://public.wmo.int/en/copyright","link_id":977,"relation":"applies_to_content"}],"grants":[{"id":6331,"fairsharing_record_id":871,"organisation_id":3254,"relation":"maintains","created_at":"2021-09-30T09:27:56.805Z","updated_at":"2021-09-30T09:27:56.805Z","grant_id":null,"is_lead":true,"saved_state":{"id":3254,"name":"World Meteorological Organization (WMO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"872","type":"fairsharing_records","attributes":{"created_at":"2018-03-11T20:24:49.000Z","updated_at":"2022-07-20T11:35:26.671Z","metadata":{"doi":"10.25504/FAIRsharing.f69084","name":"Barley Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_323:ROOT","citations":[],"identifier":872,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Barley Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Its focus is on traits and variable used in field trials for breeding.","abbreviation":"CO_323","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}]},"legacy_ids":["bsg-001138","bsg-s001138"],"name":"FAIRsharing record for: Barley Ontology","abbreviation":"CO_323","url":"https://fairsharing.org/10.25504/FAIRsharing.f69084","doi":"10.25504/FAIRsharing.f69084","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Barley Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Its focus is on traits and variable used in field trials for breeding.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Phenotype"],"taxonomies":["Hordeum vulgare"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":456,"relation":"undefined"}],"grants":[{"id":6333,"fairsharing_record_id":872,"organisation_id":1475,"relation":"maintains","created_at":"2021-09-30T09:27:56.867Z","updated_at":"2021-09-30T09:27:56.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1475,"name":"International Center for Agricultural Research in the Dry Areas (ICARDA), Lebanon","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9302,"fairsharing_record_id":872,"organisation_id":485,"relation":"maintains","created_at":"2022-04-11T12:07:28.960Z","updated_at":"2022-04-11T12:07:28.960Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"873","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-13T08:48:46.009Z","metadata":{"doi":"10.25504/FAIRsharing.nd9ce9","name":"Minimum Information about Plant Phenotyping Experiment","status":"ready","contacts":[{"contact_name":"Paweł Krajewski","contact_email":"miappe-steering@ebi.ac.uk","contact_orcid":"0000-0001-5318-9896"}],"homepage":"http://miappe.org","identifier":873,"description":"MIAPPE is a reporting guideline for plant phenotyping experiments. It comprises a checklist, i.e., a list of attributes to describe an experiment so that it is understandable and replicable. It should be consulted by people recording and depositing plan phenotyping data. MIAPPE covers the description of the following aspects of plant phenotyping experiment: study, environment, experimental design, sample management, biosource, treatment and phenotype. A basic reference implementation of MIAPPE has been proposed for the ISA-Tab format. Other current developments include a Breeding API (BrAPI) implementation.","abbreviation":"MIAPPE","support_links":[{"url":"miappe@ebi.ac.uk","type":"Support email"},{"url":"https://miappe.org","type":"Help documentation"},{"url":"https://www.miappe.org/support/","name":"Latest specifications and support resources","type":"Help documentation"},{"url":"http://cropnet.pl/phenotypes","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/plant-phenotyping-data-managment-miappe","name":"Plant Phenotyping Data managment (MIAPPE)","type":"TeSS links to training materials"}],"associated_tools":[{"url":"http://www.isa-tools.org/","name":"ISA-Tools"}]},"legacy_ids":["bsg-000543","bsg-s000543"],"name":"FAIRsharing record for: Minimum Information about Plant Phenotyping Experiment","abbreviation":"MIAPPE","url":"https://fairsharing.org/10.25504/FAIRsharing.nd9ce9","doi":"10.25504/FAIRsharing.nd9ce9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAPPE is a reporting guideline for plant phenotyping experiments. It comprises a checklist, i.e., a list of attributes to describe an experiment so that it is understandable and replicable. It should be consulted by people recording and depositing plan phenotyping data. MIAPPE covers the description of the following aspects of plant phenotyping experiment: study, environment, experimental design, sample management, biosource, treatment and phenotype. A basic reference implementation of MIAPPE has been proposed for the ISA-Tab format. Other current developments include a Breeding API (BrAPI) implementation.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11866},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12091},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16742}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany"],"domains":["Report","Biological sample","Protocol","Study design","Phenotype","Treatment"],"taxonomies":["Arabidopsis thaliana","Hordeum vulgare","Oryza sativa","Plantae","Populus","Triticum","Viridiplantae","Zea mays"],"user_defined_tags":["Metadata standardization","Plant Phenotypes and Traits"],"countries":["European Union"],"publications":[{"id":1835,"pubmed_id":26044092,"title":"Towards recommendations for metadata and data handling in plant phenotyping.","year":2015,"url":"http://doi.org/10.1093/jxb/erv271","authors":"Krajewski P, Chen D, Cwiek H, van Dijk AD, Fiorani F, Kersey P, Klukas C, Lange M, Markiewicz A, Nap JP, van Oeveren J, Pommier C, Scholz U, van Schriek M, Usadel B, Weise S","journal":"J Exp Bot","doi":"10.1093/jxb/erv271","created_at":"2021-09-30T08:25:46.064Z","updated_at":"2021-09-30T08:25:46.064Z"},{"id":2927,"pubmed_id":null,"title":"Enabling reusability of plant phenomic datasets with MIAPPE 1.1","year":2020,"url":"http://doi.org/https://doi.org/10.1111/nph.16544","authors":"Evangelia A. Papoutsoglou, Daniel Faria, Daniel Arend, [...], Paul J. Kersey, Célia M. Miguel, Anne‐Françoise Adam‐Blondon and Cyril Pommier","journal":"New Phytologist","doi":"https://doi.org/10.1111/nph.16544","created_at":"2021-09-30T08:28:00.476Z","updated_at":"2021-09-30T08:28:00.476Z"},{"id":3092,"pubmed_id":27843484,"title":"Measures for interoperability of phenotypic data: minimum information requirements and formatting","year":2016,"url":"http://doi.org/10.1186/s13007-016-0144-4","authors":"Cwiek-Kupczynska, H.; Altmann, T.; Arend, D.; Arnaud, E.; Chen, D.; Cornut, G.; Fiorani, F.; Frohmberg, W.; Junker, A.; Klukas, C.; Lange, M.; Mazurek, C.; Nafissi, A.; Neveu, P.; van Oeveren, J.; Pommier, C.; [...] ; Kersey, P. Krajewski, P.","journal":"Plant Methods","doi":"10.1186/s13007-016-0144-4","created_at":"2021-09-30T08:28:20.942Z","updated_at":"2021-09-30T08:28:20.942Z"}],"licence_links":[],"grants":[{"id":6338,"fairsharing_record_id":873,"organisation_id":2477,"relation":"maintains","created_at":"2021-09-30T09:27:57.028Z","updated_at":"2021-09-30T09:27:57.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":2477,"name":"RWTH Aachen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6341,"fairsharing_record_id":873,"organisation_id":1436,"relation":"maintains","created_at":"2021-09-30T09:27:57.142Z","updated_at":"2021-09-30T09:27:57.142Z","grant_id":null,"is_lead":false,"saved_state":{"id":1436,"name":"Institute of Plant Genetics, Polish Academy of Sciences (IPG PAS), Pozna_, Poland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6337,"fairsharing_record_id":873,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:27:56.998Z","updated_at":"2021-09-30T09:27:56.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6339,"fairsharing_record_id":873,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:57.067Z","updated_at":"2021-09-30T09:27:57.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6340,"fairsharing_record_id":873,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:57.099Z","updated_at":"2021-09-30T09:27:57.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6342,"fairsharing_record_id":873,"organisation_id":1702,"relation":"maintains","created_at":"2021-09-30T09:27:57.178Z","updated_at":"2021-09-30T09:27:57.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1702,"name":"Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6343,"fairsharing_record_id":873,"organisation_id":1036,"relation":"maintains","created_at":"2021-09-30T09:27:57.220Z","updated_at":"2021-09-30T09:27:57.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":1036,"name":"Forschungszentrum Juelich, Juelich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6334,"fairsharing_record_id":873,"organisation_id":2367,"relation":"funds","created_at":"2021-09-30T09:27:56.898Z","updated_at":"2021-09-30T09:29:11.295Z","grant_id":131,"is_lead":false,"saved_state":{"id":2367,"name":"Programme d'Investissements d'Avenir, National Research Agency (ANR), Paris, France","grant":"ANR-11-INBS-0012","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6344,"fairsharing_record_id":873,"organisation_id":934,"relation":"funds","created_at":"2021-09-30T09:27:57.273Z","updated_at":"2021-09-30T09:31:00.026Z","grant_id":972,"is_lead":false,"saved_state":{"id":934,"name":"European FP7 Research infrastructures","grant":"28443","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8164,"fairsharing_record_id":873,"organisation_id":934,"relation":"funds","created_at":"2021-09-30T09:31:17.059Z","updated_at":"2021-09-30T09:31:17.146Z","grant_id":1101,"is_lead":false,"saved_state":{"id":934,"name":"European FP7 Research infrastructures","grant":"283496","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9256,"fairsharing_record_id":873,"organisation_id":920,"relation":"maintains","created_at":"2022-04-11T12:07:25.751Z","updated_at":"2022-04-11T12:07:25.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9363,"fairsharing_record_id":873,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.217Z","updated_at":"2022-04-11T12:07:33.236Z","grant_id":793,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031A053A/B/C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"874","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:24.548Z","metadata":{"doi":"10.25504/FAIRsharing.mye76w","name":"BioAssay Ontology","status":"ready","contacts":[{"contact_name":"Stephan Schurer","contact_email":"sschurer@med.miami.edu"}],"homepage":"http://bioassayontology.org","identifier":874,"description":"The BioAssay Ontology (BAO) describes chemical biology screening assays and their results including high-throughput screening (HTS) data for the purpose of categorizing assays and data analysis.","abbreviation":"BAO","support_links":[{"url":"https://github.com/BioAssayOntology/BAO/wiki","name":"BAO Life wiki","type":"Github"}],"year_creation":2009,"associated_tools":[{"url":"http://lincsportal.ccs.miami.edu/dcic-portal/","name":"LINCS Data Portal"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BAO","name":"BAO","portal":"BioPortal"}]},"legacy_ids":["bsg-002687","bsg-s002687"],"name":"FAIRsharing record for: BioAssay Ontology","abbreviation":"BAO","url":"https://fairsharing.org/10.25504/FAIRsharing.mye76w","doi":"10.25504/FAIRsharing.mye76w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioAssay Ontology (BAO) describes chemical biology screening assays and their results including high-throughput screening (HTS) data for the purpose of categorizing assays and data analysis.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18256},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10879},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11281},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12025}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Life Science","Biomedical Science"],"domains":["Molecular entity","Chemical entity","Reagent","Cell","Biological process","Assay","Protein","Target"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":978,"pubmed_id":25093074,"title":"Evolving BioAssay Ontology (BAO): modularization, integration and applications.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-S1-S5","authors":"Abeyruwan S,Vempati UD,Kucuk-McGinty H,Visser U,Koleti A,Mir A,Sakurai K,Chung C,Bittker JA,Clemons PA,Brudz S,Siripala A,Morales AJ,Romacker M,Twomey D,Bureeva S,Lemmon V,Schurer SC","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-S1-S5","created_at":"2021-09-30T08:24:08.230Z","updated_at":"2021-09-30T08:24:08.230Z"},{"id":2217,"pubmed_id":10,"title":"Digitoxin metabolism by rat liver microsomes.","year":1975,"url":"https://www.ncbi.nlm.nih.gov/pubmed/10","authors":"Schmoldt A,Benthe HF,Haberland G","journal":"Biochem Pharmacol","doi":"10:1371/journal.pone.0049198","created_at":"2021-09-30T08:26:29.848Z","updated_at":"2021-09-30T08:26:29.848Z"},{"id":2789,"pubmed_id":23155465,"title":"Formalization, annotation and analysis of diverse drug and probe screening assay datasets using the BioAssay Ontology (BAO).","year":2012,"url":"http://doi.org/10.1371/journal.pone.0049198","authors":"Vempati UD,Przydzial MJ,Chung C,Abeyruwan S,Mir A,Sakurai K,Visser U,Lemmon VP,Schurer SC","journal":"PLoS One","doi":"10.1371/journal.pone.0049198","created_at":"2021-09-30T08:27:42.915Z","updated_at":"2021-09-30T08:27:42.915Z"},{"id":2791,"pubmed_id":21702939,"title":"BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-257","authors":"Visser U,Abeyruwan S,Vempati U,Smith RP,Lemmon V,Schurer SC","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-257","created_at":"2021-09-30T08:27:43.197Z","updated_at":"2021-09-30T08:27:43.197Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1247,"relation":"undefined"}],"grants":[{"id":6346,"fairsharing_record_id":874,"organisation_id":165,"relation":"maintains","created_at":"2021-09-30T09:27:57.323Z","updated_at":"2021-09-30T09:27:57.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":165,"name":"BAO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6350,"fairsharing_record_id":874,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:57.475Z","updated_at":"2021-09-30T09:29:20.423Z","grant_id":202,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 HL111561","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8012,"fairsharing_record_id":874,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:22.877Z","updated_at":"2021-09-30T09:30:22.928Z","grant_id":685,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"RC2 HG005668","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6347,"fairsharing_record_id":874,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:57.352Z","updated_at":"2021-09-30T09:27:57.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6348,"fairsharing_record_id":874,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:57.395Z","updated_at":"2021-09-30T09:27:57.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6345,"fairsharing_record_id":874,"organisation_id":2023,"relation":"funds","created_at":"2021-09-30T09:27:57.297Z","updated_at":"2021-09-30T09:29:01.902Z","grant_id":63,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, MD, USA","grant":"R01-NS080145","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6349,"fairsharing_record_id":874,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:57.436Z","updated_at":"2021-09-30T09:28:58.440Z","grant_id":37,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54-HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7950,"fairsharing_record_id":874,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:02.109Z","updated_at":"2021-09-30T09:30:02.156Z","grant_id":523,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1RC2HG00566801","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"892","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-17T06:21:09.083Z","metadata":{"doi":"10.25504/FAIRsharing.kcnjj2","name":"Minimum Information about Flow Cytometry","status":"ready","contacts":[{"contact_name":"Ryan Brinkman","contact_email":"rbrinkman@bccrc.ca"}],"homepage":"http://flowcyt.sourceforge.net/miflowcyt/","citations":[{"doi":"10.1002/cyto.a.20623","pubmed_id":18752282,"publication_id":1813}],"identifier":892,"description":"The Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) establishes criteria for recording and reporting information about the flow cytometry experiment overview, samples, instrumentation and data analysis. It promotes consistent annotation of clinical, biological and technical issues surrounding a flow cytometry experiment by specifying the requirements for data content and by providing a structured framework for capturing information.","abbreviation":"MIFlowCyt","support_links":[{"url":"https://sourceforge.net/p/flowcyt/news/","name":"Flow Cytometry Data Standards / News","type":"Blog/News"},{"url":"https://sourceforge.net/p/flowcyt/discussion/","name":"Discussion","type":"Forum"},{"url":"https://sourceforge.net/projects/flowcyt/","name":"Project Activity","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000521","bsg-s000521"],"name":"FAIRsharing record for: Minimum Information about Flow Cytometry","abbreviation":"MIFlowCyt","url":"https://fairsharing.org/10.25504/FAIRsharing.kcnjj2","doi":"10.25504/FAIRsharing.kcnjj2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) establishes criteria for recording and reporting information about the flow cytometry experiment overview, samples, instrumentation and data analysis. It promotes consistent annotation of clinical, biological and technical issues surrounding a flow cytometry experiment by specifying the requirements for data content and by providing a structured framework for capturing information.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11172},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11597},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12036}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Biomedical Science"],"domains":["Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Canada","United States"],"publications":[{"id":1813,"pubmed_id":18752282,"title":"MIFlowCyt: the minimum information about a Flow Cytometry Experiment","year":2008,"url":"https://doi.org/10.1002/cyto.a.20623","authors":"Lee JA et al.","journal":"Cytometry A","doi":"10.1002/cyto.a.20623","created_at":"2021-09-30T08:25:43.488Z","updated_at":"2023-08-15T20:36:35.351Z"},{"id":1941,"pubmed_id":20737419,"title":"Minimum information about a flow cytometry experiment (MIFlowCyt) checklist (Numbered in accordance with MIFlowCyt 1.0 document)","year":2010,"url":"http://doi.org/10.1002/cyto.a.20941","authors":"MIFlowCyt consortium","journal":"Cytometry A .","doi":"10.1002/cyto.a.20941","created_at":"2021-09-30T08:25:58.445Z","updated_at":"2021-09-30T11:28:28.968Z"}],"licence_links":[],"grants":[{"id":6372,"fairsharing_record_id":892,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:58.276Z","updated_at":"2021-09-30T09:27:58.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6370,"fairsharing_record_id":892,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:58.215Z","updated_at":"2021-09-30T09:30:16.611Z","grant_id":632,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"EB005034","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6371,"fairsharing_record_id":892,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:58.244Z","updated_at":"2021-09-30T09:32:51.388Z","grant_id":1807,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"AI40076","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"893","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T11:30:05.389Z","metadata":{"doi":"10.25504/FAIRsharing.bey51s","name":"Banana Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_125:ROOT","citations":[],"identifier":893,"description":"The Banana Anatomy Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_125","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001122","bsg-s001122"],"name":"FAIRsharing record for: Banana Anatomy Ontology","abbreviation":"CO_125","url":"https://fairsharing.org/10.25504/FAIRsharing.bey51s","doi":"10.25504/FAIRsharing.bey51s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Anatomy Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Plant Anatomy"],"domains":["Food","Phenotype","Morphology"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["France","Mexico"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":256,"relation":"undefined"}],"grants":[{"id":6375,"fairsharing_record_id":893,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:58.393Z","updated_at":"2021-09-30T09:27:58.393Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6373,"fairsharing_record_id":893,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:27:58.313Z","updated_at":"2021-09-30T09:27:58.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6374,"fairsharing_record_id":893,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:27:58.355Z","updated_at":"2021-09-30T09:27:58.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"894","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:17:47.659Z","metadata":{"doi":"10.25504/FAIRsharing.y5jcwa","name":"PhenX Phenotypic Terms","status":"deprecated","contacts":[{"contact_name":"Carol M. Hamilton","contact_email":"chamilton@rti.org"},{"contact_name":"PhenX Team","contact_email":"contact@phenxtoolkit.org","contact_orcid":null}],"homepage":"https://www.phenx.org/","citations":[],"identifier":894,"description":"Standard measures related to complex diseases, phenotypic traits and environmental exposures.","abbreviation":"PhenX","support_links":[{"url":"https://www.phenxtoolkit.org/about/contact-form","name":"contact","type":"Contact form"},{"url":"contact@phenxtoolkit.org","name":"General Contact","type":"Support email"},{"url":"webmaster@phenxtoolkit.org","name":"Site Related Contact:","type":"Support email"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHENX","name":"PHENX","portal":"BioPortal"}],"deprecation_date":"2023-10-04","deprecation_reason":"This resource is no longer available from PhenX. Please see their database record at https://doi.org/10.25504/FAIRsharing.2wa7v7 for more information about this project."},"legacy_ids":["bsg-002818","bsg-s002818"],"name":"FAIRsharing record for: PhenX Phenotypic Terms","abbreviation":"PhenX","url":"https://fairsharing.org/10.25504/FAIRsharing.y5jcwa","doi":"10.25504/FAIRsharing.y5jcwa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard measures related to complex diseases, phenotypic traits and environmental exposures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Life Science","Biomedical Science"],"domains":["Phenotype","Disease","Exposure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1648,"pubmed_id":20154612,"title":"PhenX: a toolkit for interdisciplinary genetics research.","year":2010,"url":"http://doi.org/10.1097/MOL.0b013e3283377395","authors":"Stover PJ,Harlan WR,Hammond JA,Hendershot T,Hamilton CM","journal":"Curr Opin Lipidol","doi":"10.1097/MOL.0b013e3283377395","created_at":"2021-09-30T08:25:24.646Z","updated_at":"2021-09-30T08:25:24.646Z"},{"id":1700,"pubmed_id":21749974,"title":"The PhenX Toolkit: get the most from your measures.","year":2011,"url":"http://doi.org/10.1093/aje/kwr193","authors":"Hamilton CM,Strader LC,Pratt JG,Maiese D,Hendershot T,Kwok RK,Hammond JA,Huggins W,Jackman D,Pan H,Nettles DS,Beaty TH,Farrer LA,Kraft P,Marazita ML,Ordovas JM,Pato CN,Spitz MR,Wagener D,Williams M,Junkins HA,Harlan WR,Ramos EM,Haines J","journal":"Am J Epidemiol","doi":"10.1093/aje/kwr193","created_at":"2021-09-30T08:25:30.504Z","updated_at":"2021-09-30T08:25:30.504Z"},{"id":1701,"pubmed_id":28079902,"title":"PhenX measures for phenotyping rare genetic conditions.","year":2017,"url":"http://doi.org/10.1038/gim.2016.199","authors":"Phillips M,Grant T,Giampietro P,Bodurtha J,Valdez R,Maiese DR,Hendershot T,Terry SF,Hamilton CM","journal":"Genet Med","doi":"10.1038/gim.2016.199","created_at":"2021-09-30T08:25:30.620Z","updated_at":"2021-09-30T08:25:30.620Z"}],"licence_links":[],"grants":[{"id":6377,"fairsharing_record_id":894,"organisation_id":2226,"relation":"funds","created_at":"2021-09-30T09:27:58.469Z","updated_at":"2021-09-30T09:27:58.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":2226,"name":"Office of Behavioral and Social Sciences Research (OBSSR), NIH, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6376,"fairsharing_record_id":894,"organisation_id":2469,"relation":"maintains","created_at":"2021-09-30T09:27:58.430Z","updated_at":"2021-09-30T09:27:58.430Z","grant_id":null,"is_lead":true,"saved_state":{"id":2469,"name":"RTI International","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":6378,"fairsharing_record_id":894,"organisation_id":2030,"relation":"funds","created_at":"2021-09-30T09:27:58.506Z","updated_at":"2021-09-30T09:27:58.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":2030,"name":"National Institute on Minority Health and Health Disparities (NIMHD), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6379,"fairsharing_record_id":894,"organisation_id":2861,"relation":"funds","created_at":"2021-09-30T09:27:58.555Z","updated_at":"2021-09-30T09:27:58.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":2861,"name":"Tobacco Regulatory Science Program, National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6380,"fairsharing_record_id":894,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:58.597Z","updated_at":"2021-09-30T09:27:58.597Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6381,"fairsharing_record_id":894,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:27:58.638Z","updated_at":"2021-09-30T09:27:58.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6382,"fairsharing_record_id":894,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:27:58.677Z","updated_at":"2021-09-30T09:27:58.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6383,"fairsharing_record_id":894,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:58.710Z","updated_at":"2021-09-30T09:32:15.254Z","grant_id":1534,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41HG007050","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"831","type":"fairsharing_records","attributes":{"created_at":"2021-04-29T07:10:22.000Z","updated_at":"2023-12-21T10:09:16.437Z","metadata":{"doi":"10.25504/FAIRsharing.207caf","name":"Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics","status":"ready","contacts":[{"contact_name":"Nils Hoffmann","contact_email":"nils.hoffmann@cebitec.uni-bielefeld.de","contact_orcid":"0000-0002-6540-6875"}],"homepage":"https://github.com/HUPO-PSI/mzTab/tree/master/specification_document-releases/2_0-Metabolomics-Release","citations":[{"doi":"10.1021/acs.analchem.8b04310","pubmed_id":30688441,"publication_id":366},{"doi":"10.5281/zenodo.3361472","pubmed_id":null,"publication_id":4034}],"identifier":831,"description":"Consortia efforts from the Metabolomics Standards Initiative, Proteomics Standards Initiative, and the Metabolomics Society have created mzTab-M to act as a common output format for analytical approaches using MS on small molecules. The intention of this specification, mzTab for Metabolomics (mzTab-M), is to extend the concepts established in the previous specification, so that more detail can be captured about the evidence trail for quantification, including MS features (different charge states or adducts) and the evidence trail for identifications, specifically for MS-based experiments on small molecules (metabolites, lipids, contaminants, etc.). mzTab-M is not formally backwards compatible, but follows a similar design pattern to simplify adaptation of existing software and to facilitate its integration into bioinformatics processing and submission workflows.","abbreviation":"mzTab-M","support_links":[{"url":"https://github.com/lifs-tools/jmzTab-m-webapp","name":"GitHub Project Page","type":"Github"},{"url":"https://hupo-psi.github.io/mzTab/2_0-metabolomics-release/mzTab_format_specification_2_0-M_release.pdf","name":"mzTab-M exchange format for metabolomics results","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001611","bsg-s001611"],"name":"FAIRsharing record for: Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics","abbreviation":"mzTab-M","url":"https://fairsharing.org/10.25504/FAIRsharing.207caf","doi":"10.25504/FAIRsharing.207caf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Consortia efforts from the Metabolomics Standards Initiative, Proteomics Standards Initiative, and the Metabolomics Society have created mzTab-M to act as a common output format for analytical approaches using MS on small molecules. The intention of this specification, mzTab for Metabolomics (mzTab-M), is to extend the concepts established in the previous specification, so that more detail can be captured about the evidence trail for quantification, including MS features (different charge states or adducts) and the evidence trail for identifications, specifically for MS-based experiments on small molecules (metabolites, lipids, contaminants, etc.). mzTab-M is not formally backwards compatible, but follows a similar design pattern to simplify adaptation of existing software and to facilitate its integration into bioinformatics processing and submission workflows.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17758}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Life Science","Metabolomics","Biomedical Science"],"domains":["Mass spectrum","Resource metadata","Experimental measurement","Omics data analysis","Small molecule"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Germany","United Kingdom"],"publications":[{"id":366,"pubmed_id":30688441,"title":"mzTab-M: A Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics","year":2019,"url":"http://doi.org/10.1021/acs.analchem.8b04310","authors":"Nils Hoffmann, Joel Rein, Timo Sachsenberg et al.","journal":"Analytical Chemistry","doi":"10.1021/acs.analchem.8b04310","created_at":"2021-09-30T08:22:59.358Z","updated_at":"2021-09-30T08:22:59.358Z"},{"id":4034,"pubmed_id":null,"title":"mzTab 2.0 for Metabolomics Reader, Writer and Validator","year":2021,"url":"https://zenodo.org/doi/10.5281/zenodo.3361472","authors":"Nils Hoffmann, Ming Wang, SurajV, \u0026 Steffen Neumann","journal":"Zenodo","doi":"10.5281/zenodo.3361472","created_at":"2023-10-23T23:09:46.019Z","updated_at":"2023-10-23T23:11:16.995Z"}],"licence_links":[],"grants":[{"id":6234,"fairsharing_record_id":831,"organisation_id":1822,"relation":"maintains","created_at":"2021-09-30T09:27:53.636Z","updated_at":"2021-09-30T09:27:53.636Z","grant_id":null,"is_lead":true,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6235,"fairsharing_record_id":831,"organisation_id":1721,"relation":"maintains","created_at":"2021-09-30T09:27:53.660Z","updated_at":"2021-09-30T09:27:53.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":1721,"name":"Lipidomics Standards Initiative (LSI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6236,"fairsharing_record_id":831,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:53.686Z","updated_at":"2021-09-30T09:27:53.686Z","grant_id":null,"is_lead":false,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"832","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:16.000Z","updated_at":"2022-07-20T12:48:58.034Z","metadata":{"doi":"10.25504/FAIRsharing.2jkxp5","name":"Rice Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_320:ROOT","citations":[],"identifier":832,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The IBP Rice Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Based on SES, Rice Descriptor and IRIS DB.","abbreviation":"CO_320","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"BorjaFrancesNikki@cgiar.org","name":"Nikki Frances Borja","type":"Support email"},{"url":"j.detras@cgiar.org","name":"Jeffrey A. Detras","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000724","bsg-s000724"],"name":"FAIRsharing record for: Rice Ontology","abbreviation":"CO_320","url":"https://fairsharing.org/10.25504/FAIRsharing.2jkxp5","doi":"10.25504/FAIRsharing.2jkxp5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The IBP Rice Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Based on SES, Rice Descriptor and IRIS DB.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Oryza sativa"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1753,"relation":"undefined"}],"grants":[{"id":6237,"fairsharing_record_id":832,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:53.710Z","updated_at":"2021-09-30T09:27:53.710Z","grant_id":null,"is_lead":true,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"884","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.496Z","metadata":{"doi":"10.25504/FAIRsharing.bf8dsb","name":"MedlinePlus Health Topics","status":"ready","contacts":[{"contact_name":"NLM Customer Service","contact_email":"custserv@nlm.nih.gov"}],"homepage":"http://www.nlm.nih.gov/medlineplus/xmldescription.html","identifier":884,"description":"This resource provides information on the symptoms, causes, treatment and prevention for a wide range of diseases, illnesses, health conditions and wellness issues. MedlinePlus health topics are regularly reviewed, and links are updated daily.","abbreviation":"MEDLINEPLUS","support_links":[{"url":"https://medlineplus.gov/healthtopics.html","name":"Health Topics","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEDLINEPLUS","name":"MEDLINEPLUS","portal":"BioPortal"}]},"legacy_ids":["bsg-002583","bsg-s002583"],"name":"FAIRsharing record for: MedlinePlus Health Topics","abbreviation":"MEDLINEPLUS","url":"https://fairsharing.org/10.25504/FAIRsharing.bf8dsb","doi":"10.25504/FAIRsharing.bf8dsb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource provides information on the symptoms, causes, treatment and prevention for a wide range of diseases, illnesses, health conditions and wellness issues. MedlinePlus health topics are regularly reviewed, and links are updated daily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6357,"fairsharing_record_id":884,"organisation_id":1814,"relation":"maintains","created_at":"2021-09-30T09:27:57.773Z","updated_at":"2021-09-30T09:27:57.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":1814,"name":"MedLinePlus Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6358,"fairsharing_record_id":884,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:57.798Z","updated_at":"2021-09-30T09:27:57.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"885","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:36:30.684Z","metadata":{"doi":"10.25504/FAIRsharing.dq78pn","name":"Clinical Measurement Ontology","status":"ready","contacts":[{"contact_name":"Mary Shimoyama","contact_email":"shimoyama@mcw.edu","contact_orcid":"0000-0003-1176-0796"}],"homepage":"http://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=CMO:0000000","identifier":885,"description":"The Clinical Measurement Ontology is designed to be used to standardize morphological and physiological measurement records generated from clinical and model organism research and health programs.","abbreviation":"CMO","support_links":[{"url":"http://rgd.mcw.edu/contact/index.shtml","name":"RGD Contact Form","type":"Contact form"},{"url":"jrsmith@mcw.edu","name":"Jennifer Smith","type":"Support email"},{"url":"http://sourceforge.net/projects/phenoonto/","name":"Sourceforge Project","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CMO","name":"CMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cmo.html","name":"cmo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002713","bsg-s002713"],"name":"FAIRsharing record for: Clinical Measurement Ontology","abbreviation":"CMO","url":"https://fairsharing.org/10.25504/FAIRsharing.dq78pn","doi":"10.25504/FAIRsharing.dq78pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Clinical Measurement Ontology is designed to be used to standardize morphological and physiological measurement records generated from clinical and model organism research and health programs.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12027},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12462}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Model organism","Electronic health record","Phenotype","Disease"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":891,"pubmed_id":22654893,"title":"Three ontologies to define phenotype measurement data.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00087","authors":"Shimoyama M,Nigam R,McIntosh LS,Nagarajan R,Rice T,Rao DC,Dwinell MR","journal":"Front Genet","doi":"10.3389/fgene.2012.00087","created_at":"2021-09-30T08:23:58.429Z","updated_at":"2021-09-30T08:23:58.429Z"},{"id":1772,"pubmed_id":24103152,"title":"The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-26","authors":"Smith JR,Park CA,Nigam R,Laulederkind SJ,Hayman GT,Wang SJ,Lowry TF,Petri V,Pons JD,Tutaj M,Liu W,Worthey EA,Shimoyama M,Dwinell MR","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-26","created_at":"2021-09-30T08:25:38.805Z","updated_at":"2021-09-30T08:25:38.805Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":269,"relation":"undefined"}],"grants":[{"id":6361,"fairsharing_record_id":885,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:57.925Z","updated_at":"2021-09-30T09:27:57.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6359,"fairsharing_record_id":885,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:57.822Z","updated_at":"2021-09-30T09:29:46.348Z","grant_id":395,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL094286","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6360,"fairsharing_record_id":885,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:27:57.887Z","updated_at":"2021-09-30T09:27:57.887Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7953,"fairsharing_record_id":885,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:03.160Z","updated_at":"2021-09-30T09:30:03.278Z","grant_id":531,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7986,"fairsharing_record_id":885,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:15.744Z","updated_at":"2021-09-30T09:30:15.849Z","grant_id":626,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL064541","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"887","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.563Z","metadata":{"doi":"10.25504/FAIRsharing.mtvxae","name":"Family Health History Ontology","status":"uncertain","contacts":[{"contact_name":"Jane Peace","contact_email":"jpeace@unc.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1126","identifier":887,"description":"The FHHO facilitates representing the family health histories of persons related by biological and/or social family relationships (e.g. step, adoptive) who share genetic, behavioral, and/or environmental risk factors for disease. SWRL rules are included to compute 3 generations of biological relationships based on parentage and family history findings based on personal health findings.","abbreviation":"FHHO","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FHHO","name":"FHHO","portal":"BioPortal"}]},"legacy_ids":["bsg-002580","bsg-s002580"],"name":"FAIRsharing record for: Family Health History Ontology","abbreviation":"FHHO","url":"https://fairsharing.org/10.25504/FAIRsharing.mtvxae","doi":"10.25504/FAIRsharing.mtvxae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FHHO facilitates representing the family health histories of persons related by biological and/or social family relationships (e.g. step, adoptive) who share genetic, behavioral, and/or environmental risk factors for disease. SWRL rules are included to compute 3 generations of biological relationships based on parentage and family history findings based on personal health findings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Human Genetics","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6362,"fairsharing_record_id":887,"organisation_id":310,"relation":"maintains","created_at":"2021-09-30T09:27:57.958Z","updated_at":"2021-09-30T09:27:57.958Z","grant_id":null,"is_lead":false,"saved_state":{"id":310,"name":"Brennan Healthsystems Lab, Madison, WI, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"906","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:47.107Z","metadata":{"doi":"10.25504/FAIRsharing.6s2sfz","name":"BioTop","status":"ready","contacts":[{"contact_name":"Stefan Schulz","contact_email":"stefan.schulz@medunigraz.at"}],"homepage":"http://biotopontology.github.io/","identifier":906,"description":"A top-domain ontology that provides definitions for the foundational entities of biomedicine as a basic vocabulary to unambiguously describe facts in this domain. This ontology is no longer maintained, as it duplicated much of the content in other ontologies. Though not maintained, this ontology remains available for use. The currently maintained version is BioTopLite 2 (BTL2).","abbreviation":"BT","support_links":[{"url":"https://github.com/BioTopOntology/biotop/issues","name":"GitHub forum","type":"Github"},{"url":"https://groups.google.com/forum/#!forum/biotop","name":"Google group forum","type":"Forum"},{"url":"https://github.com/BioTopOntology/biotop","name":"GitHub repository","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BT","name":"BT","portal":"BioPortal"}]},"legacy_ids":["bsg-002575","bsg-s002575"],"name":"FAIRsharing record for: BioTop","abbreviation":"BT","url":"https://fairsharing.org/10.25504/FAIRsharing.6s2sfz","doi":"10.25504/FAIRsharing.6s2sfz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A top-domain ontology that provides definitions for the foundational entities of biomedicine as a basic vocabulary to unambiguously describe facts in this domain. This ontology is no longer maintained, as it duplicated much of the content in other ontologies. Though not maintained, this ontology remains available for use. The currently maintained version is BioTopLite 2 (BTL2).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":990,"pubmed_id":null,"title":"BioTopLite: An Upper Level Ontology for the Life Sciences. Evolution, Design and Application","year":2013,"url":"http://biotopontology.github.io/papers/Schulz,%20Boeker%20-%202013%20-%20BioTopLite%20An%20Upper%20Level%20Ontology%20for%20the%20Life%20Sciences.%20Evolution,%20Design%20and%20Application.pdf","authors":"Stefan Schulz, Martin Boeker","journal":"Furbach U, Staab S, eds. Informatik 2013. Koblenz: IOS Press; 2013.","doi":null,"created_at":"2021-09-30T08:24:09.580Z","updated_at":"2021-09-30T08:24:09.580Z"},{"id":1881,"pubmed_id":19478019,"title":"Alignment of the UMLS semantic network with BioTop: methodology and assessment.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp194","authors":"Schulz S,Beisswanger E,van den Hoek L,Bodenreider O,van Mulligen EM","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp194","created_at":"2021-09-30T08:25:51.607Z","updated_at":"2021-09-30T08:25:51.607Z"}],"licence_links":[],"grants":[{"id":6407,"fairsharing_record_id":906,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:59.630Z","updated_at":"2021-09-30T09:29:17.427Z","grant_id":179,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"JA 1904/2-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7910,"fairsharing_record_id":906,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:29:39.710Z","updated_at":"2021-09-30T09:29:39.761Z","grant_id":348,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"SCHU 2515/1-1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"907","type":"fairsharing_records","attributes":{"created_at":"2017-07-26T09:50:38.000Z","updated_at":"2022-07-20T12:14:34.111Z","metadata":{"doi":"10.25504/FAIRsharing.zcjkc7","name":"Standard for Documentation of Astronomical Catalogues","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"cds-question@unistra.fr"}],"homepage":"http://cds.u-strasbg.fr/doc/catstd.htx","identifier":907,"description":"A set of conventions for archiving astronomical data. As well as path, filename and data format conventions, the key file is a plain text description file, including all the necessary metadata information related to the catalogue: author(s), reference(s) of the related published papers, brief summary, scientific keys, caption and accurate description of each table of the catalogue.","abbreviation":"SDAC","support_links":[{"url":"http://cds.u-strasbg.fr/doc/catstd.pdf","name":"SDAC Documentation (pdf)","type":"Help documentation"}],"year_creation":1994},"legacy_ids":["bsg-000713","bsg-s000713"],"name":"FAIRsharing record for: Standard for Documentation of Astronomical Catalogues","abbreviation":"SDAC","url":"https://fairsharing.org/10.25504/FAIRsharing.zcjkc7","doi":"10.25504/FAIRsharing.zcjkc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A set of conventions for archiving astronomical data. As well as path, filename and data format conventions, the key file is a plain text description file, including all the necessary metadata information related to the catalogue: author(s), reference(s) of the related published papers, brief summary, scientific keys, caption and accurate description of each table of the catalogue.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":6410,"fairsharing_record_id":907,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:27:59.743Z","updated_at":"2021-09-30T09:27:59.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6409,"fairsharing_record_id":907,"organisation_id":450,"relation":"maintains","created_at":"2021-09-30T09:27:59.711Z","updated_at":"2021-09-30T09:27:59.711Z","grant_id":null,"is_lead":false,"saved_state":{"id":450,"name":"Centre de Donnes astronomiques de Strasbourg (CDS), Strasbourg, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6411,"fairsharing_record_id":907,"organisation_id":2988,"relation":"maintains","created_at":"2021-09-30T09:27:59.771Z","updated_at":"2021-09-30T09:27:59.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":2988,"name":"Universite de Strasbourg, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"908","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2023-03-15T08:09:20.153Z","metadata":{"doi":"10.25504/FAIRsharing.vb7991","name":"Ontology of Genes and Genomes - Mouse","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://bitbucket.org/hegroup/ogg-mm","citations":[],"identifier":908,"description":"OGG-Mm is the OGG Mus musculus (mouse) subset. The OGG (Ontology of Genes and Genomes) is a formal ontology of genes and genomes of biological organisms. OGG is developed by following OBO Foundry principles and aligning with the BFO top-level ontology.","abbreviation":"OGG-MM","support_links":[{"url":"https://bitbucket.org/hegroup/ogg-mouse/issues/","name":"Bitbucket Issue Tracker","type":"Forum"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGG-MM","name":"OGG-MM","portal":"BioPortal"}]},"legacy_ids":["bsg-000992","bsg-s000992"],"name":"FAIRsharing record for: Ontology of Genes and Genomes - Mouse","abbreviation":"OGG-MM","url":"https://fairsharing.org/10.25504/FAIRsharing.vb7991","doi":"10.25504/FAIRsharing.vb7991","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OGG-Mm is the OGG Mus musculus (mouse) subset. The OGG (Ontology of Genes and Genomes) is a formal ontology of genes and genomes of biological organisms. OGG is developed by following OBO Foundry principles and aligning with the BFO top-level ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Gene","Genome"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6412,"fairsharing_record_id":908,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:59.802Z","updated_at":"2021-09-30T09:27:59.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"909","type":"fairsharing_records","attributes":{"created_at":"2015-02-02T18:10:08.000Z","updated_at":"2021-11-24T13:13:53.690Z","metadata":{"doi":"10.25504/FAIRsharing.s248mf","name":"W3C HCLS Dataset Description","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com","contact_orcid":"0000-0003-4727-9435"}],"homepage":"http://www.w3.org/TR/hcls-dataset/","identifier":909,"description":"Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. This document describes a consensus among participating stakeholders in the Health Care and the Life Sciences domain on the description of datasets using the Resource Description Framework (RDF). This specification meets key functional requirements, reuses existing vocabularies to the extent that it is possible, and addresses elements of data description, versioning, provenance, discovery, exchange, query, and retrieval.","abbreviation":null,"support_links":[{"url":"http://www.w3.org/Help/","type":"Help documentation"},{"url":"http://www.w3.org/TR/hcls-dataset/","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000579","bsg-s000579"],"name":"FAIRsharing record for: W3C HCLS Dataset Description","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.s248mf","doi":"10.25504/FAIRsharing.s248mf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. This document describes a consensus among participating stakeholders in the Health Care and the Life Sciences domain on the description of datasets using the Resource Description Framework (RDF). This specification meets key functional requirements, reuses existing vocabularies to the extent that it is possible, and addresses elements of data description, versioning, provenance, discovery, exchange, query, and retrieval.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11205}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Life Science","Biomedical Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Bulgaria","Canada","Japan","Netherlands","Switzerland","United Kingdom","United States"],"publications":[{"id":2144,"pubmed_id":27602295,"title":"The health care and life sciences community profile for dataset descriptions.","year":2016,"url":"http://doi.org/10.7717/peerj.2331","authors":"Dumontier M. et al.","journal":"PeerJ","doi":"10.7717/peerj.2331","created_at":"2021-09-30T08:26:21.666Z","updated_at":"2021-09-30T08:26:21.666Z"}],"licence_links":[],"grants":[{"id":6414,"fairsharing_record_id":909,"organisation_id":952,"relation":"maintains","created_at":"2021-09-30T09:27:59.886Z","updated_at":"2021-09-30T09:27:59.886Z","grant_id":null,"is_lead":false,"saved_state":{"id":952,"name":"European Research Consortium for Informatics and Mathematics","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6416,"fairsharing_record_id":909,"organisation_id":188,"relation":"maintains","created_at":"2021-09-30T09:27:59.952Z","updated_at":"2021-09-30T09:27:59.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":188,"name":"Beihang University, Beihang, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6419,"fairsharing_record_id":909,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:00.071Z","updated_at":"2021-09-30T09:28:00.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6415,"fairsharing_record_id":909,"organisation_id":1631,"relation":"maintains","created_at":"2021-09-30T09:27:59.921Z","updated_at":"2021-09-30T09:27:59.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":1631,"name":"Keio University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6417,"fairsharing_record_id":909,"organisation_id":589,"relation":"maintains","created_at":"2021-09-30T09:27:59.990Z","updated_at":"2021-09-30T09:27:59.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":589,"name":"Computer Science and Artificial Intelligence Laboratory, Massacheusetts Institute of Technology, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6418,"fairsharing_record_id":909,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:00.032Z","updated_at":"2021-09-30T09:28:00.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6420,"fairsharing_record_id":909,"organisation_id":3207,"relation":"maintains","created_at":"2021-09-30T09:28:00.102Z","updated_at":"2021-09-30T09:28:00.102Z","grant_id":null,"is_lead":false,"saved_state":{"id":3207,"name":"W3C Semantic Web for Health Care and Life Sciences Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6413,"fairsharing_record_id":909,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:59.848Z","updated_at":"2021-09-30T09:31:20.653Z","grant_id":1127,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 HG008033-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"912","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T15:26:35.000Z","updated_at":"2022-02-08T10:35:36.223Z","metadata":{"doi":"10.25504/FAIRsharing.81f1d3","name":"JavaScript Object Notation for Simple Knowledge Organization Systems","status":"ready","contacts":[{"contact_name":"Jakob Voss","contact_email":"voss@gbv.de"}],"homepage":"http://gbv.github.io/jskos/","identifier":912,"description":"JSKOS (JavaScript Object Notation for Simple Knowledge Organization Systems) defines a JavaScript Object Notation (JSON) structure to encode knowledge organization systems (KOS), such as classifications, thesauri, and authority files. JSKOS supports encoding of concepts, concept schemes, concept occurrences, and concept mappings with their common properties. It further defines application profiles for registries, distributions, and annotations. The main part of JSKOS is compatible with Simple Knowledge Organisation System (SKOS) and JavaScript Object Notation for Linked Data (JSON-LD) but JSKOS can be used without having to be experienced in any of these technologies. A simple JSKOS document can be mapped to SKOS expressed in the Resource Description Framework (RDF), and vice versa. JSKOS further supports closed world statements to express incomplete information about knowledge organization systems to facilitate use in dynamic web applications.","abbreviation":"JSKOS","support_links":[{"url":"coli-conc@gbv.de","name":"General Contact","type":"Support email"},{"url":"https://github.com/gbv/jskos","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/coli_conc","name":"@coli_conc","type":"Twitter"}],"year_creation":2019},"legacy_ids":["bsg-001563","bsg-s001563"],"name":"FAIRsharing record for: JavaScript Object Notation for Simple Knowledge Organization Systems","abbreviation":"JSKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.81f1d3","doi":"10.25504/FAIRsharing.81f1d3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JSKOS (JavaScript Object Notation for Simple Knowledge Organization Systems) defines a JavaScript Object Notation (JSON) structure to encode knowledge organization systems (KOS), such as classifications, thesauri, and authority files. JSKOS supports encoding of concepts, concept schemes, concept occurrences, and concept mappings with their common properties. It further defines application profiles for registries, distributions, and annotations. The main part of JSKOS is compatible with Simple Knowledge Organisation System (SKOS) and JavaScript Object Notation for Linked Data (JSON-LD) but JSKOS can be used without having to be experienced in any of these technologies. A simple JSKOS document can be mapped to SKOS expressed in the Resource Description Framework (RDF), and vice versa. JSKOS further supports closed world statements to express incomplete information about knowledge organization systems to facilitate use in dynamic web applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":6422,"fairsharing_record_id":912,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:28:00.216Z","updated_at":"2021-09-30T09:28:00.216Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6423,"fairsharing_record_id":912,"organisation_id":550,"relation":"maintains","created_at":"2021-09-30T09:28:00.253Z","updated_at":"2021-09-30T09:28:00.253Z","grant_id":null,"is_lead":true,"saved_state":{"id":550,"name":"coli-conc Project, Verbundzentrale des GBV (VZG), Gottingen, Germany","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"913","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2021-11-24T13:15:48.550Z","metadata":{"doi":"10.25504/FAIRsharing.d1zzym","name":"Ethnicity Ontology","status":"ready","contacts":[{"contact_name":"Harshana Liyanage","contact_email":"harshana.liyanage@phc.ox.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/EO","identifier":913,"description":"The Ethnicity Ontology (EO) has been developed by extending BFO to have a common reference for ethnicity concepts for semantic integration of datasets. It attempts to utilise iterated proxy markers for ethnicity such language spoken and interpreter requirements in order to support health care research studies.","abbreviation":"EO","support_links":[{"url":"simon.delusignan@phc.ox.ac.uk","name":"Simon de Lusignan","type":"Support email"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EO","name":"EO","portal":"BioPortal"}]},"legacy_ids":["bsg-000997","bsg-s000997"],"name":"FAIRsharing record for: Ethnicity Ontology","abbreviation":"EO","url":"https://fairsharing.org/10.25504/FAIRsharing.d1zzym","doi":"10.25504/FAIRsharing.d1zzym","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ethnicity Ontology (EO) has been developed by extending BFO to have a common reference for ethnicity concepts for semantic integration of datasets. It attempts to utilise iterated proxy markers for ethnicity such language spoken and interpreter requirements in order to support health care research studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12528}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Social Anthropology","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Language"],"countries":["United Kingdom"],"publications":[{"id":2707,"pubmed_id":28346128,"title":"Ethnicity Recording in Primary Care Computerised Medical Record Systems: An Ontological Approach.","year":2017,"url":"http://doi.org/10.14236/jhi.v23i4.920","authors":"Tippu Z,Correa A,Liyanage H,Burleigh D,McGovern A,Van Vlymen J,Jones S,De Lusignan S","journal":"J Innov Health Inform","doi":"10.14236/jhi.v23i4.920","created_at":"2021-09-30T08:27:32.470Z","updated_at":"2021-09-30T08:27:32.470Z"}],"licence_links":[],"grants":[{"id":6424,"fairsharing_record_id":913,"organisation_id":541,"relation":"maintains","created_at":"2021-09-30T09:28:00.285Z","updated_at":"2021-09-30T09:28:00.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":541,"name":"Clinical Informatics \u0026 Health Outcomes Research Group, University of Surrey, UK","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"925","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T11:47:55.654Z","metadata":{"doi":"10.25504/FAIRsharing.eeyne8","name":"Maize Ontology","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_322:ROOT","citations":[],"identifier":925,"description":"The Maize Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_322","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Help documentation"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001108","bsg-s001108"],"name":"FAIRsharing record for: Maize Ontology","abbreviation":"CO_322","url":"https://fairsharing.org/10.25504/FAIRsharing.eeyne8","doi":"10.25504/FAIRsharing.eeyne8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Maize Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Zea mays"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":792,"relation":"undefined"}],"grants":[{"id":6447,"fairsharing_record_id":925,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:01.233Z","updated_at":"2021-09-30T09:28:01.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6446,"fairsharing_record_id":925,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:28:01.149Z","updated_at":"2021-09-30T09:28:01.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"926","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T12:58:36.000Z","updated_at":"2022-02-08T10:49:56.043Z","metadata":{"doi":"10.25504/FAIRsharing.0c89ff","name":"Translation Memory eXchange","status":"ready","contacts":[{"contact_name":"Yves Savourel","contact_email":"ysavourel@translate.com"}],"homepage":"https://www.gala-global.org/tmx-14b","citations":[],"identifier":926,"description":"Translation Memory eXchange (TMX) is an XML based standard which describes translation memory data that is being exchanged among tools and/or translation vendors, while introducing little or no loss of critical data during the process.","abbreviation":"TMX","support_links":[{"url":"https://en.wikipedia.org/wiki/Translation_Memory_eXchange","name":"TMX Wikipedia Page","type":"Wikipedia"}],"year_creation":2005},"legacy_ids":["bsg-001280","bsg-s001280"],"name":"FAIRsharing record for: Translation Memory eXchange","abbreviation":"TMX","url":"https://fairsharing.org/10.25504/FAIRsharing.0c89ff","doi":"10.25504/FAIRsharing.0c89ff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Translation Memory eXchange (TMX) is an XML based standard which describes translation memory data that is being exchanged among tools and/or translation vendors, while introducing little or no loss of critical data during the process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":460,"relation":"undefined"}],"grants":[{"id":6448,"fairsharing_record_id":926,"organisation_id":1174,"relation":"maintains","created_at":"2021-09-30T09:28:01.276Z","updated_at":"2021-09-30T09:28:01.276Z","grant_id":null,"is_lead":true,"saved_state":{"id":1174,"name":"Globalization and Localization Association (GALA), Seattle, Washington, United States","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"927","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2024-06-21T16:29:54.633Z","metadata":{"doi":"10.25504/FAIRsharing.jprvcd","name":"Stroke Scale Ontology","status":"ready","contacts":[{"contact_name":"Petr Vcelak","contact_email":"vcelak@kiv.zcu.cz"}],"homepage":"http://bioportal.bioontology.org/ontologies/NIHSS","citations":[],"identifier":927,"description":"Domain ontology for describing the standardized neurological examination of stroke patients according to the National Institutes of Health Stroke Scale (NIHSS). The ontology is intended for describing the assessment of a patient after a stroke. A patient with more limitations is evaluated with more points (worse condition). An evaluation (score) with a value of 0 (zero) indicates a normal state.","abbreviation":"nihss","year_creation":2014,"associated_tools":[{"url":"https://mre.zcu.cz/metamed/","name":"MetaMed"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIHSS","name":"NIHSS","portal":"BioPortal"},{"url":"https://mre.zcu.cz/ontology/nihss.owl","name":"NIHSS Ontology","portal":"Other"},{"url":"https://mre.zcu.cz/ontology/nihss","name":"NIHSS Ontology documentation","portal":"Other"}]},"legacy_ids":["bsg-000816","bsg-s000816"],"name":"FAIRsharing record for: Stroke Scale Ontology","abbreviation":"nihss","url":"https://fairsharing.org/10.25504/FAIRsharing.jprvcd","doi":"10.25504/FAIRsharing.jprvcd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Domain ontology for describing the standardized neurological examination of stroke patients according to the National Institutes of Health Stroke Scale (NIHSS). The ontology is intended for describing the assessment of a patient after a stroke. A patient with more limitations is evaluated with more points (worse condition). An evaluation (score) with a value of 0 (zero) indicates a normal state.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Neuroscience"],"domains":["Cardiovascular disease"],"taxonomies":["All"],"user_defined_tags":["stroke"],"countries":["Czech Republic"],"publications":[],"licence_links":[],"grants":[{"id":11265,"fairsharing_record_id":927,"organisation_id":2023,"relation":"associated_with","created_at":"2024-02-05T09:41:39.939Z","updated_at":"2024-02-05T09:41:39.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","types":["Research institute"],"is_lead":false,"relation":"associated_with"}},{"id":11266,"fairsharing_record_id":927,"organisation_id":4228,"relation":"associated_with","created_at":"2024-02-05T09:41:39.939Z","updated_at":"2024-02-05T09:41:39.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":4228,"name":"Faculty of Applied Sciences West Bohemia","types":["Research institute"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"928","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:19:06.487Z","metadata":{"doi":"10.25504/FAIRsharing.z656ab","name":"Dictyostelium Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Pascale Gaudet","contact_email":"pgaudet@northwestern.edu","contact_orcid":"0000-0003-1813-6857"}],"homepage":"http://dictybase.org/Dicty_Info/dicty_anatomy_ontology.html","identifier":928,"description":"The Dictyostelium Anatomy Ontology ontology describes the anatomy of the slime mold. It defines the structural makeup of Dictyostelium and its composing parts including the different cell types, throughout its life cycle. It has two main goals: (1) promote the consistent annotation of Dictyostelium-specific events, such as phenotypes and gene expression information; and (2) encourage researchers to use the same terms with the same intended meaning.","abbreviation":"DDANAT","support_links":[{"url":"http://dictybase.org/db/cgi-bin/dictyBase/suggestion","name":"Suggestion and Contact Form","type":"Contact form"},{"url":"dictybase@northwestern.edu","name":"General contact","type":"Support email"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDANAT","name":"DDANAT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ddanat.html","name":"ddanat","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000024","bsg-s000024"],"name":"FAIRsharing record for: Dictyostelium Anatomy Ontology","abbreviation":"DDANAT","url":"https://fairsharing.org/10.25504/FAIRsharing.z656ab","doi":"10.25504/FAIRsharing.z656ab","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dictyostelium Anatomy Ontology ontology describes the anatomy of the slime mold. It defines the structural makeup of Dictyostelium and its composing parts including the different cell types, throughout its life cycle. It has two main goals: (1) promote the consistent annotation of Dictyostelium-specific events, such as phenotypes and gene expression information; and (2) encourage researchers to use the same terms with the same intended meaning.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell"],"taxonomies":["Dictyostelium discoideum","Dictyostelium fasciculatum","Dictyostelium purpureum","Polysphondylium pallidum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2135,"pubmed_id":18366659,"title":"An anatomy ontology to represent biological knowledge in Dictyostelium discoideum.","year":2008,"url":"http://doi.org/10.1186/1471-2164-9-130","authors":"Gaudet P,Williams JG,Fey P,Chisholm RL","journal":"BMC Genomics","doi":"10.1186/1471-2164-9-130","created_at":"2021-09-30T08:26:20.725Z","updated_at":"2021-09-30T08:26:20.725Z"}],"licence_links":[],"grants":[{"id":6450,"fairsharing_record_id":928,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:01.336Z","updated_at":"2021-09-30T09:28:01.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6451,"fairsharing_record_id":928,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:28:01.365Z","updated_at":"2021-09-30T09:28:01.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6452,"fairsharing_record_id":928,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:01.416Z","updated_at":"2021-09-30T09:29:22.560Z","grant_id":219,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG00022","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6449,"fairsharing_record_id":928,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:01.307Z","updated_at":"2021-09-30T09:29:46.110Z","grant_id":393,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM64426","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"919","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:10:12.301Z","metadata":{"doi":"10.25504/FAIRsharing.azqskx","name":"Environment Ontology","status":"ready","contacts":[{"contact_name":"Pier Luigi Buttigieg","contact_email":"p.buttigieg@googlemail.com"}],"homepage":"http://environmentontology.org/","citations":[{"doi":"10.1186/2041-1480-4-43","pubmed_id":24330602,"publication_id":1656}],"identifier":919,"description":"The Environment Ontology (EnvO) provides a controlled, structured vocabulary that is designed to support the annotation of any organism or biological sample with environment descriptors. EnvO contains terms ranging from astronomical objects, through planetary scale biomes, to nanomaterials. Further, these terms are interlinked with logical axioms describing their composition, colocalisation, and relationships to environmental and biological processes. Using ENVO terms for an environmental description allows a comprehensive description of environment that is key to machine-assisted integration, archiving and federated searching of environmental data.","abbreviation":"ENVO","support_links":[{"url":"http://environmentontology.org/contact","name":"Contact the Consortium","type":"Contact form"},{"url":"https://github.com/EnvironmentOntology/envo/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/EnvironmentOntology/envo","name":"GitHub Repository","type":"Github"},{"url":"http://www.environmentontology.org/annotation-guidelines","name":"Annotation Guidelines","type":"Help documentation"},{"url":"https://sites.google.com/site/environmentontology/about-envo","name":"About","type":"Help documentation"},{"url":"https://sites.google.com/site/environmentontology/annotation-guidelines","name":"Annotation Guidelines","type":"Help documentation"},{"url":"https://twitter.com/envoTweets","name":"@envoTweets","type":"Twitter"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ENVO","name":"ENVO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/envo.html","name":"envo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000060","bsg-s000060"],"name":"FAIRsharing record for: Environment Ontology","abbreviation":"ENVO","url":"https://fairsharing.org/10.25504/FAIRsharing.azqskx","doi":"10.25504/FAIRsharing.azqskx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Environment Ontology (EnvO) provides a controlled, structured vocabulary that is designed to support the annotation of any organism or biological sample with environment descriptors. EnvO contains terms ranging from astronomical objects, through planetary scale biomes, to nanomaterials. Further, these terms are interlinked with logical axioms describing their composition, colocalisation, and relationships to environmental and biological processes. Using ENVO terms for an environmental description allows a comprehensive description of environment that is key to machine-assisted integration, archiving and federated searching of environmental data.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10852},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12199},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12406},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13900},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14555},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16038}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Ecology","Life Science","Nutritional Science","Epidemiology"],"domains":["Environmental material","Marine metagenome","Microbiome"],"taxonomies":["Algae","Archaea","Bacteria","Eukaryota","Fungi","Metazoa","Protozoa","Viruses"],"user_defined_tags":[],"countries":["Germany","Kenya","United States"],"publications":[{"id":894,"pubmed_id":27664130,"title":"The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0097-6","authors":"Buttigieg PL,Pafilis E,Lewis SE,Schildhauer MP,Walls RL,Mungall CJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0097-6","created_at":"2021-09-30T08:23:58.796Z","updated_at":"2021-09-30T08:23:58.796Z"},{"id":1656,"pubmed_id":24330602,"title":"The environment ontology: contextualising biological and biomedical entities.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-43","authors":"Buttigieg PL,Morrison N,Smith B,Mungall CJ,Lewis SE","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-43","created_at":"2021-09-30T08:25:25.505Z","updated_at":"2021-09-30T08:25:25.505Z"},{"id":2405,"pubmed_id":26896844,"title":"EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation.","year":2016,"url":"http://doi.org/10.1093/database/baw005","authors":"Pafilis E,Buttigieg PL,Ferrell B,Pereira E,Schnetzer J,Arvanitidis C,Jensen LJ","journal":"Database (Oxford)","doi":"10.1093/database/baw005","created_at":"2021-09-30T08:26:55.193Z","updated_at":"2021-09-30T08:26:55.193Z"},{"id":2416,"pubmed_id":26713234,"title":"Emerging semantics to link phenotype and environment.","year":2015,"url":"http://doi.org/10.7717/peerj.1470","authors":"Thessen AE,Bunker DE,Buttigieg PL,Cooper LD,Dahdul WM,Domisch S,Franz NM,Jaiswal P,Lawrence-Dill CJ,Midford PE,Mungall CJ,Ramirez MJ,Specht CD,Vogt L,Vos RA,Walls RL,White JW,Zhang G,Deans AR,Huala E,Lewis SE,Mabee PM","journal":"PeerJ","doi":"10.7717/peerj.1470","created_at":"2021-09-30T08:26:56.545Z","updated_at":"2021-09-30T08:26:56.545Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2258,"relation":"undefined"}],"grants":[{"id":6428,"fairsharing_record_id":919,"organisation_id":870,"relation":"maintains","created_at":"2021-09-30T09:28:00.457Z","updated_at":"2021-09-30T09:28:00.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":870,"name":"ENVO administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6432,"fairsharing_record_id":919,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:00.616Z","updated_at":"2021-09-30T09:32:15.361Z","grant_id":1535,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"287589","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6429,"fairsharing_record_id":919,"organisation_id":56,"relation":"funds","created_at":"2021-09-30T09:28:00.498Z","updated_at":"2021-09-30T09:28:00.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6431,"fairsharing_record_id":919,"organisation_id":1691,"relation":"funds","created_at":"2021-09-30T09:28:00.574Z","updated_at":"2021-09-30T09:28:00.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6433,"fairsharing_record_id":919,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:00.657Z","updated_at":"2021-09-30T09:29:42.169Z","grant_id":365,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG004838","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6430,"fairsharing_record_id":919,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:00.537Z","updated_at":"2021-09-30T09:30:29.622Z","grant_id":734,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"283359","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"920","type":"fairsharing_records","attributes":{"created_at":"2016-10-17T21:06:17.000Z","updated_at":"2022-12-23T14:21:11.461Z","metadata":{"doi":"10.25504/FAIRsharing.kx2md1","name":"Ontology of Immune Epitopes","status":"ready","contacts":[{"contact_name":"Bjoern Peters","contact_email":"bpeters@liai.org"}],"homepage":"http://ontology.iedb.org","citations":[],"identifier":920,"description":"The Ontology of Immune Epitopes (ONTIE) is an effort to represent terms in the immunology domain in a formal ontology with the specific goal of representing experiments that identify and characterize immune epitopes. ONTIE has been developed as a subset of OBI (Ontology of Biomedical Investigations) and includes terms relating to experiments involving immune epitopes. This file contains the minimal amount of upper ontology terms and axioms from BFO (Basic Formal Ontology), IAO (Information Artifact Ontology) and OBI, in order to view and reason upon ONTIE. It is currently at version 0.1 beta. ONTIE covers terms regarding immune responses, adaptive immune receptors, immune epitope assays, MHC molecules, and infectious diseases. ONTIE is (at this development stage) a virtual ontology, drawing together terms from multiple reference ontologies. We are actively working on adding more terms to ONTIE either through term requests or through active contribution to external ontologies.","abbreviation":"ONTIE","support_links":[{"url":"https://ontology.iedb.org/documentation","name":"Documentation","type":"Help documentation"},{"url":"https://ontology.iedb.org/resources","name":"Resources","type":"Other"}]},"legacy_ids":["bsg-000680","bsg-s000680"],"name":"FAIRsharing record for: Ontology of Immune Epitopes","abbreviation":"ONTIE","url":"https://fairsharing.org/10.25504/FAIRsharing.kx2md1","doi":"10.25504/FAIRsharing.kx2md1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Immune Epitopes (ONTIE) is an effort to represent terms in the immunology domain in a formal ontology with the specific goal of representing experiments that identify and characterize immune epitopes. ONTIE has been developed as a subset of OBI (Ontology of Biomedical Investigations) and includes terms relating to experiments involving immune epitopes. This file contains the minimal amount of upper ontology terms and axioms from BFO (Basic Formal Ontology), IAO (Information Artifact Ontology) and OBI, in order to view and reason upon ONTIE. It is currently at version 0.1 beta. ONTIE covers terms regarding immune responses, adaptive immune receptors, immune epitope assays, MHC molecules, and infectious diseases. ONTIE is (at this development stage) a virtual ontology, drawing together terms from multiple reference ontologies. We are actively working on adding more terms to ONTIE either through term requests or through active contribution to external ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunology","Life Science"],"domains":["Infection","Major histocompatibility complex"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6434,"fairsharing_record_id":920,"organisation_id":1681,"relation":"maintains","created_at":"2021-09-30T09:28:00.695Z","updated_at":"2021-09-30T09:28:00.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":1681,"name":"La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"921","type":"fairsharing_records","attributes":{"created_at":"2020-04-08T18:39:49.000Z","updated_at":"2023-03-23T13:17:59.090Z","metadata":{"doi":"10.25504/FAIRsharing.EHVpsH","name":"Minimum information for publication of infrared-related data when microplastics are characterized","status":"ready","contacts":[{"contact_name":"Jose M. Andrade","contact_email":"andrade@udc.es","contact_orcid":"0000-0003-1020-5213"}],"homepage":"https://www.sciencedirect.com/science/article/abs/pii/S0025326X20301533?via%3Dihub","citations":[{"doi":"S0025-326X(20)30153-3","publication_id":2852}],"identifier":921,"description":"Reporting guidelines specific to microplastic research parameters involved in infrared spectroscopy.","abbreviation":null,"year_creation":2020},"legacy_ids":["bsg-001462","bsg-s001462"],"name":"FAIRsharing record for: Minimum information for publication of infrared-related data when microplastics are characterized","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.EHVpsH","doi":"10.25504/FAIRsharing.EHVpsH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reporting guidelines specific to microplastic research parameters involved in infrared spectroscopy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Chemistry","Ecology"],"domains":["Environmental contaminant","Infared spectroscopy"],"taxonomies":["Not applicable"],"user_defined_tags":["microplastic","plastic pollution"],"countries":[],"publications":[{"id":2852,"pubmed_id":null,"title":"Standardization of the minimum information for publication of infrared-related data when microplastics are characterized.","year":2020,"url":"https://www.sciencedirect.com/science/article/abs/pii/S0025326X20301533?via%3Dihub","authors":"Andrade JM,Ferreiro B,Lopez-Mahia P,Muniategui-Lorenzo S","journal":"Mar Pollut Bull","doi":"S0025-326X(20)30153-3","created_at":"2021-09-30T08:27:50.857Z","updated_at":"2021-09-30T08:27:50.857Z"}],"licence_links":[],"grants":[{"id":6438,"fairsharing_record_id":921,"organisation_id":1611,"relation":"funds","created_at":"2021-09-30T09:28:00.887Z","updated_at":"2021-09-30T09:32:37.088Z","grant_id":1702,"is_lead":false,"saved_state":{"id":1611,"name":"JPI-Oceans","grant":"PCIN-2015-170-C02-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6436,"fairsharing_record_id":921,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:28:00.807Z","updated_at":"2021-09-30T09:28:00.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6437,"fairsharing_record_id":921,"organisation_id":3005,"relation":"funds","created_at":"2021-09-30T09:28:00.849Z","updated_at":"2021-09-30T09:28:00.849Z","grant_id":null,"is_lead":false,"saved_state":{"id":3005,"name":"University of A Coruna","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6435,"fairsharing_record_id":921,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:28:00.728Z","updated_at":"2021-09-30T09:32:31.863Z","grant_id":1662,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"CTM2016-77945-C3-3-R","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"922","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:09:31.567Z","metadata":{"doi":"10.25504/FAIRsharing.cq8tg2","name":"Open Microscopy Environment - Tagged Image File Format","status":"ready","contacts":[{"contact_name":"Jason Swedlow","contact_email":"j.r.swedlow@dundee.ac.uk","contact_orcid":"0000-0002-2198-1958"}],"homepage":"http://www.openmicroscopy.org/site/support/ome-model/ome-tiff/","citations":[],"identifier":922,"description":"OME-TIFF is a standardized file format for multidimensional image data. OME-TIFF was created to maximize the respective strengths of OME-XML and TIFF. It takes advantage of the metadata defined in OME-XML while retaining the pixels in multi-page TIFF format for compatibility with many more applications.","abbreviation":"OME-TIFF","support_links":[{"url":"http://www.openmicroscopy.org/site/community/mailing-lists","name":"OME-TIFF Mailing List","type":"Mailing list"},{"url":"http://www.openmicroscopy.org/site/support/ome-model/#ome-tiff","name":"Further Documentation","type":"Help documentation"}],"year_creation":2007,"associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}]},"legacy_ids":["bsg-000537","bsg-s000537"],"name":"FAIRsharing record for: Open Microscopy Environment - Tagged Image File Format","abbreviation":"OME-TIFF","url":"https://fairsharing.org/10.25504/FAIRsharing.cq8tg2","doi":"10.25504/FAIRsharing.cq8tg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OME-TIFF is a standardized file format for multidimensional image data. OME-TIFF was created to maximize the respective strengths of OME-XML and TIFF. It takes advantage of the metadata defined in OME-XML while retaining the pixels in multi-page TIFF format for compatibility with many more applications.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18246},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10885},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11014},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14566}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Microbiology","Biology"],"domains":["Resource metadata","Experimental measurement","Bioimaging","Microscopy","Imaging","Image","Study design","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["France","Italy","United Kingdom","United States"],"publications":[{"id":515,"pubmed_id":15892875,"title":"The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r47","authors":"Goldberg IG,Allan C,Burel JM,Creager D,Falconi A,Hochheiser H,Johnston J,Mellen J,Sorger PK,Swedlow JR","journal":"Genome Biol","doi":"10.1186/gb-2005-6-5-r47","created_at":"2021-09-30T08:23:16.210Z","updated_at":"2021-09-30T08:23:16.210Z"},{"id":569,"pubmed_id":20513764,"title":"Metadata matters: access to image data in the real world","year":2010,"url":"http://doi.org/10.1083/jcb.201004104","authors":"Melissa Linkert, Curtis T. Rueden, Chris Allan et al.","journal":"The Journal of Cell Biology","doi":"10.1083/jcb.201004104","created_at":"2021-09-30T08:23:22.218Z","updated_at":"2021-09-30T08:23:22.218Z"},{"id":3247,"pubmed_id":null,"title":"Bringing Open Data to Whole Slide Imaging","year":2019,"url":"http://dx.doi.org/10.1007/978-3-030-23937-4_1","authors":"Besson, Sébastien; Leigh, Roger; Linkert, Melissa; Allan, Chris; Burel, Jean-Marie; Carroll, Mark; Gault, David; Gozim, Riad; Li, Simon; Lindner, Dominik; Moore, Josh; Moore, Will; Walczysko, Petr; Wong, Frances; Swedlow, Jason R.; ","journal":"Digital Pathology","doi":"10.1007/978-3-030-23937-4_1","created_at":"2022-03-03T13:45:32.014Z","updated_at":"2022-03-03T13:45:32.014Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1580,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1587,"relation":"undefined"}],"grants":[{"id":6440,"fairsharing_record_id":922,"organisation_id":2261,"relation":"maintains","created_at":"2021-09-30T09:28:00.962Z","updated_at":"2021-09-30T09:28:00.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6441,"fairsharing_record_id":922,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:00.999Z","updated_at":"2021-09-30T09:30:51.754Z","grant_id":907,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024233/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6439,"fairsharing_record_id":922,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:00.924Z","updated_at":"2021-09-30T09:31:25.214Z","grant_id":1161,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"095931/Z/11/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8142,"fairsharing_record_id":922,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:10.551Z","updated_at":"2021-09-30T09:31:10.832Z","grant_id":1051,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022585/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"923","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:25.815Z","metadata":{"doi":"10.25504/FAIRsharing.w9jvbt","name":"TErminology for the Description of DYnamics","status":"ready","contacts":[{"contact_name":"Melanie Courtot","contact_email":"courtot@ebi.ac.uk"}],"homepage":"http://co.mbine.org/standards/teddy","identifier":923,"description":"The TErminology for the Description of DYnamics (TEDDY) project aims to provide an ontology for dynamical behaviours, observable dynamical phenomena, and control elements of bio-models and biological systems in Systems Biology and Synthetic Biology.","abbreviation":"TEDDY","support_links":[{"url":"https://sourceforge.net/mailarchive/forum.php?forum_name=teddyontology-discuss","name":"Discussion List","type":"Mailing list"},{"url":"https://en.wikipedia.org/wiki/Terminology_for_the_Description_of_Dynamics","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TEDDY","name":"TEDDY","portal":"BioPortal"}]},"legacy_ids":["bsg-000147","bsg-s000147"],"name":"FAIRsharing record for: TErminology for the Description of DYnamics","abbreviation":"TEDDY","url":"https://fairsharing.org/10.25504/FAIRsharing.w9jvbt","doi":"10.25504/FAIRsharing.w9jvbt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TErminology for the Description of DYnamics (TEDDY) project aims to provide an ontology for dynamical behaviours, observable dynamical phenomena, and control elements of bio-models and biological systems in Systems Biology and Synthetic Biology.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11183},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12094},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12229},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16991}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurophysiology","Synthetic Biology","Systems Biology"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Germany","New Zealand","Switzerland","United Kingdom","United States"],"publications":[{"id":22,"pubmed_id":22027554,"title":"Controlled vocabularies and semantics in systems biology.","year":2011,"url":"http://doi.org/10.1038/msb.2011.77","authors":"Courtot M,Juty N,Knupfer C et al.","journal":"Mol Syst Biol","doi":"10.1038/msb.2011.77","created_at":"2021-09-30T08:22:22.740Z","updated_at":"2021-09-30T08:22:22.740Z"}],"licence_links":[],"grants":[{"id":6444,"fairsharing_record_id":923,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:01.093Z","updated_at":"2021-09-30T09:28:01.093Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6442,"fairsharing_record_id":923,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:01.036Z","updated_at":"2021-09-30T09:28:01.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"924","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T11:20:40.000Z","updated_at":"2022-07-20T12:23:00.273Z","metadata":{"doi":"10.25504/FAIRsharing.595710","name":"Agriculture and Forestry Ontology","status":"ready","contacts":[{"contact_name":"Eero Hyvönen","contact_email":"Eero.Hyvonen@tkk.fI"}],"homepage":"https://seco.cs.aalto.fi/ontologies/afo/","identifier":924,"description":"The Agriculture and Forestry Ontology (AFO), also known as the Agriforest Ontology, combines the concepts of the Agriforest Thesaurus with The Finnish General Upper Ontology (YSO). This combination of ontologies can be used for describing resources especially in domain of agriculture, forestry, veterinary medicine, food science, environmental science and biology.","abbreviation":"AFO","year_creation":2017},"legacy_ids":["bsg-001442","bsg-s001442"],"name":"FAIRsharing record for: Agriculture and Forestry Ontology","abbreviation":"AFO","url":"https://fairsharing.org/10.25504/FAIRsharing.595710","doi":"10.25504/FAIRsharing.595710","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agriculture and Forestry Ontology (AFO), also known as the Agriforest Ontology, combines the concepts of the Agriforest Thesaurus with The Finnish General Upper Ontology (YSO). This combination of ontologies can be used for describing resources especially in domain of agriculture, forestry, veterinary medicine, food science, environmental science and biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Forest Management","Agricultural Engineering","Agriculture","Veterinary Medicine","Food Chemistry","Biology"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Finland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1743,"relation":"undefined"}],"grants":[{"id":6445,"fairsharing_record_id":924,"organisation_id":3064,"relation":"maintains","created_at":"2021-09-30T09:28:01.118Z","updated_at":"2021-09-30T09:28:01.118Z","grant_id":null,"is_lead":true,"saved_state":{"id":3064,"name":"University of Helsinki, Finland","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"929","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T13:54:11.000Z","updated_at":"2024-03-21T13:57:57.199Z","metadata":{"doi":"10.25504/FAIRsharing.5g1fma","name":"MIAPE: Mass Spectrometry","status":"ready","contacts":[{"contact_name":"Pierre-Alain Binz","contact_email":"Pierre-Alain.Binz@isb-sib.ch"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":929,"description":"This module identifies the minimum information required to report the use of a mass spectrometer in a proteomics experiment, sufficient to support both the effective (re-)interpretation and (re-) assessment of the data and the potential reproduction of the work that generated it.","abbreviation":"MIAPE-MS","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","name":"Mass Spectrometry Mailing List","type":"Mailing list"}],"year_creation":2007},"legacy_ids":["bsg-000607","bsg-s000607"],"name":"FAIRsharing record for: MIAPE: Mass Spectrometry","abbreviation":"MIAPE-MS","url":"https://fairsharing.org/10.25504/FAIRsharing.5g1fma","doi":"10.25504/FAIRsharing.5g1fma","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report the use of a mass spectrometer in a proteomics experiment, sufficient to support both the effective (re-)interpretation and (re-) assessment of the data and the potential reproduction of the work that generated it.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11445},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12063},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19738}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Germany","Sweden","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":803,"pubmed_id":18688232,"title":"Guidelines for reporting the use of mass spectrometry in proteomics.","year":2008,"url":"http://doi.org/10.1038/nbt0808-860","authors":"Taylor CF,Binz PA,Aebersold R,Affolter M,Barkovich R,Deutsch EW,Horn DM,Huhmer A,Kussmann M,Lilley K,Macht M,Mann M,Muller D,Neubert TA,Nickson J,Patterson SD,Raso R,Resing K,Seymour SL,Tsugita A,Xenarios I,Zeng R,Julian RK Jr","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-860","created_at":"2021-09-30T08:23:48.570Z","updated_at":"2021-09-30T08:23:48.570Z"}],"licence_links":[],"grants":[{"id":6453,"fairsharing_record_id":929,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:01.458Z","updated_at":"2021-09-30T09:28:01.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6455,"fairsharing_record_id":929,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:01.541Z","updated_at":"2021-09-30T09:28:01.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6456,"fairsharing_record_id":929,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:01.579Z","updated_at":"2021-09-30T09:28:01.579Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11520,"fairsharing_record_id":929,"organisation_id":3609,"relation":"funds","created_at":"2024-03-21T13:57:57.027Z","updated_at":"2024-03-21T13:57:57.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":3609,"name":"Human Proteome Organization","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2dEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4bae8cd8577204f529e7291065b3a57d93afc0ff/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"930","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.944Z","metadata":{"doi":"10.25504/FAIRsharing.23th83","name":"GeoSpecies Ontology","status":"ready","contacts":[{"contact_name":"Peter J. DeVries","contact_email":"pdevries@wisc.edu","contact_orcid":"0000-0003-4637-5281"}],"homepage":"http://bioportal.bioontology.org/ontologies/1247","identifier":930,"description":"This ontology was designed to help integrate species concepts with species occurrences, gene sequences, images, references and geographical information.","abbreviation":"GeoSpecies","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GEOSPECIES","name":"GEOSPECIES","portal":"BioPortal"}]},"legacy_ids":["bsg-002576","bsg-s002576"],"name":"FAIRsharing record for: GeoSpecies Ontology","abbreviation":"GeoSpecies","url":"https://fairsharing.org/10.25504/FAIRsharing.23th83","doi":"10.25504/FAIRsharing.23th83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology was designed to help integrate species concepts with species occurrences, gene sequences, images, references and geographical information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Citation","Taxonomic classification","Geographical location","Image","Sequence","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6457,"fairsharing_record_id":930,"organisation_id":1131,"relation":"maintains","created_at":"2021-09-30T09:28:01.612Z","updated_at":"2021-09-30T09:28:01.612Z","grant_id":null,"is_lead":false,"saved_state":{"id":1131,"name":"GeoSpecies Knowledge Base Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"914","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.137Z","metadata":{"doi":"10.25504/FAIRsharing.3dm6gm","name":"Edinburgh Human Developmental Anatomy","status":"deprecated","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://obofoundry.org/ontology/ehda.html","identifier":914,"description":"A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). The timed version of the human developmental anatomy ontology gives all the tissues present at each Carnegie Stage (CS) of human development (1-20) linked by a part-of rule. Each term is mentioned only once so that the embryo at each stage can be seen as the simple sum of its parts. Users should note that tissues that are symmetric (e.g. eyes, ears, limbs) are only mentioned once. The EHDA; Hunter et al. 2003 is less complete than later versions: it comprises a set of ontologies, one for each Carnegie stage (CS) (1–20) that only includes basic part_of data. Its structure was derived from the original EMAP ontology, and its content was based partly on this and partly on a limited study of sectioned human material.","abbreviation":"EHDA","support_links":[{"url":"http://obofoundry.org/ontology/ehda.html","type":"Help documentation"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EHDA","name":"EHDA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ehda.html","name":"ehda","portal":"OBO Foundry"}],"deprecation_date":"2016-04-20","deprecation_reason":"This resource is deprecated. Please see the record for the next version of the ontology (https://biosharing.org/bsg-002675) instead."},"legacy_ids":["bsg-000032","bsg-s000032"],"name":"FAIRsharing record for: Edinburgh Human Developmental Anatomy","abbreviation":"EHDA","url":"https://fairsharing.org/10.25504/FAIRsharing.3dm6gm","doi":"10.25504/FAIRsharing.3dm6gm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). The timed version of the human developmental anatomy ontology gives all the tissues present at each Carnegie Stage (CS) of human development (1-20) linked by a part-of rule. Each term is mentioned only once so that the embryo at each stage can be seen as the simple sum of its parts. Users should note that tissues that are symmetric (e.g. eyes, ears, limbs) are only mentioned once. The EHDA; Hunter et al. 2003 is less complete than later versions: it comprises a set of ontologies, one for each Carnegie stage (CS) (1–20) that only includes basic part_of data. Its structure was derived from the original EMAP ontology, and its content was based partly on this and partly on a limited study of sectioned human material.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science","Biomedical Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1007,"pubmed_id":14620375,"title":"An ontology of human developmental anatomy.","year":2003,"url":"http://doi.org/10.1046/j.1469-7580.2003.00224.x","authors":"Hunter A,Kaufman MH,McKay A,Baldock R,Simmen MW,Bard JB","journal":"J Anat","doi":"10.1046/j.1469-7580.2003.00224.x","created_at":"2021-09-30T08:24:11.455Z","updated_at":"2021-09-30T08:24:11.455Z"}],"licence_links":[],"grants":[{"id":6425,"fairsharing_record_id":914,"organisation_id":3052,"relation":"maintains","created_at":"2021-09-30T09:28:00.323Z","updated_at":"2021-09-30T09:28:00.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":3052,"name":"University of Edinburgh, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6426,"fairsharing_record_id":914,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:28:00.363Z","updated_at":"2021-09-30T09:28:00.363Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"915","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-03-13T09:21:32.230Z","metadata":{"doi":"10.25504/FAIRsharing.g593w1","name":"EDAM Bioimaging Ontology","status":"ready","contacts":[{"contact_name":"Jon Ison","contact_email":"jison@cbs.dtu.dk"}],"homepage":"http://bioportal.bioontology.org/ontologies/EDAM-BIOIMAGING","citations":[],"identifier":915,"description":"Bioimaging operations, data types, formats, identifiers and topics. EDAM-Bioimaging is an extension to the EDAM ontology (edamontology.org) for bioimaging, developed in collaboration with partners from NEUBIAS (neubias.org).","abbreviation":"EDAM-BIOIMAGING","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDAM-BIOIMAGING","name":"EDAM-BIOIMAGING","portal":"BioPortal"}]},"legacy_ids":["bsg-001013","bsg-s001013"],"name":"FAIRsharing record for: EDAM Bioimaging Ontology","abbreviation":"EDAM-BIOIMAGING","url":"https://fairsharing.org/10.25504/FAIRsharing.g593w1","doi":"10.25504/FAIRsharing.g593w1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bioimaging operations, data types, formats, identifiers and topics. EDAM-Bioimaging is an extension to the EDAM ontology (edamontology.org) for bioimaging, developed in collaboration with partners from NEUBIAS (neubias.org).","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16103},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16989}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics"],"domains":["Bioimaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"916","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-03-13T09:25:30.918Z","metadata":{"doi":"10.25504/FAIRsharing.twp7vn","name":"Bionutrition Ontology","status":"ready","contacts":[{"contact_name":"Cameron Coffran, Diane Meehan, Andrea Ronning","contact_email":"cameron@rockefeller.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/BNO","citations":[],"identifier":916,"description":"The Bionutrition Ontology relates concepts and terminologies used for human nutrition in a clinical and biomedical setting.","abbreviation":"BNO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BNO","name":"BNO","portal":"BioPortal"}]},"legacy_ids":["bsg-001020","bsg-s001020"],"name":"FAIRsharing record for: Bionutrition Ontology","abbreviation":"BNO","url":"https://fairsharing.org/10.25504/FAIRsharing.twp7vn","doi":"10.25504/FAIRsharing.twp7vn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bionutrition Ontology relates concepts and terminologies used for human nutrition in a clinical and biomedical setting.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17365}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Nutritional Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"917","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:04.399Z","metadata":{"doi":"10.25504/FAIRsharing.77e3my","name":"Molecular Interaction eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"HUPO PSI","contact_email":"psi-mi@ebi.ac.uk"}],"homepage":"http://www.psidev.info/groups/molecular-interactions","identifier":917,"description":"The PSI-MI interchange format and accompanying controlled vocabularies was originally designed by a consortium of molecular interaction data providers from both academia and industry, including BIND, DIP, IntAct, MINT, MIPS, GlaxoSmithKline, CellZome, Hybrigenics, Universities of Bielefeld, Bordeaux, Cambridge, and others. It is maintained, and kept fit for purpose by the Molecular Interaction workgroup of the HUPO PSI. It can be used for storing any kind of molecular interaction data including complexes and binary interactions such as protein-protein interactions and nucleic acid interactions.","abbreviation":"PSI-MI XML","support_links":[{"url":"psi-mi@ebi.ac.uk","name":"PSI-MI Mailing List","type":"Mailing list"},{"url":"https://github.com/MICommunity/psimi/blob/wiki/PsimiXMLSpecifications.md","name":"GitHub Documentation for PSI-MI 2.5","type":"Github"},{"url":"https://rawgit.com/HUPO-PSI/miXML/master/3.0/doc/MIF300.html","name":"PSI-MI XML 3.0 Schema Documentation","type":"Help documentation"},{"url":"https://rawgit.com/HUPO-PSI/miXML/master/2.5/doc/MIF254.html","name":"PSI-MI XML 2.5 Schema Documentation","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000121","bsg-s000121"],"name":"FAIRsharing record for: Molecular Interaction eXtensible Markup Language","abbreviation":"PSI-MI XML","url":"https://fairsharing.org/10.25504/FAIRsharing.77e3my","doi":"10.25504/FAIRsharing.77e3my","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PSI-MI interchange format and accompanying controlled vocabularies was originally designed by a consortium of molecular interaction data providers from both academia and industry, including BIND, DIP, IntAct, MINT, MIPS, GlaxoSmithKline, CellZome, Hybrigenics, Universities of Bielefeld, Bordeaux, Cambridge, and others. It is maintained, and kept fit for purpose by the Molecular Interaction workgroup of the HUPO PSI. It can be used for storing any kind of molecular interaction data including complexes and binary interactions such as protein-protein interactions and nucleic acid interactions.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11209},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11433},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11981}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":868,"pubmed_id":17925023,"title":"Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.","year":2007,"url":"http://doi.org/10.1186/1741-7007-5-44","authors":"Kerrien S., Orchard S., Montecchi-Palazzi L. et al.","journal":"BMC Biol.","doi":"10.1186/1741-7007-5-44","created_at":"2021-09-30T08:23:55.889Z","updated_at":"2021-09-30T08:23:55.889Z"},{"id":2322,"pubmed_id":14755292,"title":"The HUPO PSI's molecular interaction format--a community standard for the representation of protein interaction data.","year":2004,"url":"http://doi.org/10.1038/nbt926","authors":"Hermjakob H,Montecchi-Palazzi L,Bader G,Wojcik J,Salwinski L,Ceol A,Moore S,Orchard S,Sarkans U,von Mering C,Roechert B,Poux S,Jung E,Mersch H,Kersey P,Lappe M,Li Y,Zeng R,Rana D,Nikolski M,Husi H,Brun C,Shanker K,Grant SG,Sander C,Bork P,Zhu W,Pandey A,Brazma A,Jacq B,Vidal M,Sherman D,Legrain P,Cesareni G,Xenarios I,Eisenberg D,Steipe B,Hogue C,Apweiler R","journal":"Nat Biotechnol","doi":"10.1038/nbt926","created_at":"2021-09-30T08:26:45.002Z","updated_at":"2021-09-30T08:26:45.002Z"},{"id":2346,"pubmed_id":29642841,"title":"Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions.","year":2018,"url":"http://doi.org/10.1186/s12859-018-2118-1","authors":"Sivade Dumousseau M,Alonso-Lopez D,Ammari M,Bradley G,Campbell NH,Ceol A,Cesareni G,Combe C,De Las Rivas J,Del-Toro N,Heimbach J,Hermjakob H,Jurisica I,Koch M,Licata L,Lovering RC,Lynn DJ,Meldal BHM,Micklem G,Panni S,Porras P,Ricard-Blum S,Roechert B,Salwinski L,Shrivastava A,Sullivan J,Thierry-Mieg N,Yehudi Y,Van Roey K,Orchard S","journal":"BMC Bioinformatics","doi":"10.1186/s12859-018-2118-1","created_at":"2021-09-30T08:26:48.268Z","updated_at":"2021-09-30T08:26:48.268Z"}],"licence_links":[],"grants":[{"id":6427,"fairsharing_record_id":917,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:00.394Z","updated_at":"2021-09-30T09:28:00.394Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"918","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-29T17:04:18.290Z","metadata":{"doi":"10.25504/FAIRsharing.1esk4f","name":"Artificial Intelligence Rheumatology Consultant System Ontology","status":"ready","contacts":[{"contact_name":"NLM Customer Service","contact_email":"custserv@nlm.nih.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/1430","citations":[],"identifier":918,"description":"AI/RHEUM is used for the diagnosis of rheumatologic diseases. AI/RHEUM contains findings, such as clinical signs, symptoms, laboratory test results, radiologic observations, tissue biopsy results, and intermediate diagnosis hypotheses. Findings and hypotheses, which include definitions, are used to reach diagnostic conclusions with definite, probable, or possible certainty. AI/RHEUM is used by clinicians and informatics researchers.","abbreviation":"AI/RHEUM","support_links":[],"year_creation":1983,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AI-RHEUM","name":"AI-RHEUM","portal":"BioPortal"}]},"legacy_ids":["bsg-002655","bsg-s002655"],"name":"FAIRsharing record for: Artificial Intelligence Rheumatology Consultant System Ontology","abbreviation":"AI/RHEUM","url":"https://fairsharing.org/10.25504/FAIRsharing.1esk4f","doi":"10.25504/FAIRsharing.1esk4f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AI/RHEUM is used for the diagnosis of rheumatologic diseases. AI/RHEUM contains findings, such as clinical signs, symptoms, laboratory test results, radiologic observations, tissue biopsy results, and intermediate diagnosis hypotheses. Findings and hypotheses, which include definitions, are used to reach diagnostic conclusions with definite, probable, or possible certainty. AI/RHEUM is used by clinicians and informatics researchers.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12519}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiology","Biomedical Science","Preclinical Studies"],"domains":["Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1730,"pubmed_id":3537610,"title":"Anatomy of a knowledge-based consultant system: AI/RHEUM.","year":1986,"url":"https://www.ncbi.nlm.nih.gov/pubmed/3537610","authors":"Kingsland LC 3rd,Lindberg DA,Sharp GC","journal":"MD Comput","doi":null,"created_at":"2021-09-30T08:25:33.879Z","updated_at":"2021-09-30T08:25:33.879Z"},{"id":1731,"pubmed_id":3320252,"title":"AI/LEARN network. The use of computer-generated graphics to augment the educational utility of a knowledge-based diagnostic system (AI/RHEUM).","year":1987,"url":"http://doi.org/10.1007/BF00996349","authors":"Lee AS,Cutts JH 3rd,Sharp GC,Mitchell JA","journal":"J Med Syst","doi":"10.1007/BF00996349","created_at":"2021-09-30T08:25:33.988Z","updated_at":"2021-09-30T08:25:33.988Z"},{"id":1736,"pubmed_id":6352842,"title":"AI/RHEUM. A consultant system for rheumatology.","year":1983,"url":"http://doi.org/10.1007/BF00993283","authors":"Kingsland LC 3rd,Lindberg DA,Sharp GC","journal":"J Med Syst","doi":"10.1007/BF00993283","created_at":"2021-09-30T08:25:34.779Z","updated_at":"2021-09-30T08:25:34.779Z"},{"id":1997,"pubmed_id":3330560,"title":"AI/LEARN: an interactive videodisk system for teaching medical concepts and reasoning.","year":1987,"url":"http://doi.org/10.1007/BF00993009","authors":"Mitchell JA,Lee AS,TenBrink T,Cutts JH 3rd,Clark DP,Hazelwood S,Jackson R,Bickel J,Gaunt W,Ladenson RP,et al.","journal":"J Med Syst","doi":"10.1007/BF00993009","created_at":"2021-09-30T08:26:04.781Z","updated_at":"2021-09-30T08:26:04.781Z"},{"id":2001,"pubmed_id":3279963,"title":"The AI/RHEUM knowledge-based computer consultant system in rheumatology. Performance in the diagnosis of 59 connective tissue disease patients from Japan.","year":1988,"url":"http://doi.org/10.1002/art.1780310210","authors":"Porter JF,Kingsland LC 3rd,Lindberg DA,Shah I,Benge JM,Hazelwood SE,Kay DR,Homma M,Akizuki M,Takano M,et al.","journal":"Arthritis Rheum","doi":"10.1002/art.1780310210","created_at":"2021-09-30T08:26:05.340Z","updated_at":"2021-09-30T08:26:05.340Z"},{"id":2084,"pubmed_id":1406331,"title":"Validation of the AI/RHEUM knowledge base with data from consecutive rheumatological outpatients.","year":1992,"url":"https://www.ncbi.nlm.nih.gov/pubmed/1406331","authors":"Bernelot Moens HJ","journal":"Methods Inf Med","doi":null,"created_at":"2021-09-30T08:26:14.957Z","updated_at":"2021-09-30T08:26:14.957Z"}],"licence_links":[{"licence_name":"UMLS - Metathesaurus License Agreement","licence_id":975,"licence_url":"https://www.nlm.nih.gov/research/umls/knowledge_sources/metathesaurus/release/license_agreement.html","link_id":2819,"relation":"applies_to_content"}],"grants":[{"id":9832,"fairsharing_record_id":918,"organisation_id":2045,"relation":"undefined","created_at":"2022-08-29T17:03:51.239Z","updated_at":"2022-08-29T17:03:51.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"905","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-10-26T14:03:44.713Z","metadata":{"doi":"10.25504/FAIRsharing.9vtwjs","name":"Dublin Core Metadata Initiative Terms","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"contact@dublincore.net"}],"homepage":"https://www.dublincore.org/specifications/dublin-core/dcmi-terms/","citations":[],"identifier":905,"description":"This document is an up-to-date, authoritative specification of all metadata terms maintained by the Dublin Core Metadata Initiative, including properties, vocabulary encoding schemes, syntax encoding schemes, and classes. Included are the fifteen terms of the Dublin Core Metadata Element Set, which have also been published as a separate specification.","abbreviation":"DCMI Metadata Terms","support_links":[{"url":"https://en.wikipedia.org/wiki/Dublin_Core#Dublin_Core_Metadata_Element_Set","name":"Wikipedia page","type":"Wikipedia"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DCTERMS","name":"DCTERMS","portal":"BioPortal"}]},"legacy_ids":["bsg-000978","bsg-s000978"],"name":"FAIRsharing record for: Dublin Core Metadata Initiative Terms","abbreviation":"DCMI Metadata Terms","url":"https://fairsharing.org/10.25504/FAIRsharing.9vtwjs","doi":"10.25504/FAIRsharing.9vtwjs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document is an up-to-date, authoritative specification of all metadata terms maintained by the Dublin Core Metadata Initiative, including properties, vocabulary encoding schemes, syntax encoding schemes, and classes. Included are the fifteen terms of the Dublin Core Metadata Element Set, which have also been published as a separate specification.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17355},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12944},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13325},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13340},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13358},{"linking_record_name":"Mapping CDC to OpenAIRE, B2find, schema.org and Dublin Core","linking_record_id":3646,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13369}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1249,"relation":"undefined"}],"grants":[{"id":6405,"fairsharing_record_id":905,"organisation_id":3142,"relation":"maintains","created_at":"2021-09-30T09:27:59.569Z","updated_at":"2021-09-30T09:27:59.569Z","grant_id":null,"is_lead":false,"saved_state":{"id":3142,"name":"University of Tsukuba","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6404,"fairsharing_record_id":905,"organisation_id":122,"relation":"funds","created_at":"2021-09-30T09:27:59.532Z","updated_at":"2021-09-30T09:27:59.532Z","grant_id":null,"is_lead":false,"saved_state":{"id":122,"name":"Association for Information Science and Technology (ASIS\u0026T)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6406,"fairsharing_record_id":905,"organisation_id":657,"relation":"maintains","created_at":"2021-09-30T09:27:59.601Z","updated_at":"2021-09-30T09:27:59.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":657,"name":"DCMI Usage Board","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"932","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:59:29.539Z","metadata":{"doi":"10.25504/FAIRsharing.fmz635","name":"Gramene Taxonomy Ontology","status":"ready","contacts":[{"contact_name":"Gramene Helpdesk","contact_email":"gramene@gramene.org"}],"homepage":"http://archive.gramene.org/db/ontology/search_term?id=GR_tax:017502","identifier":932,"description":"Gramene Taxonomy Ontology (GR-TAX) is a representation of the taxonomy tree in the ontology format. Each term in this ontology can represent subspecies, species, genus, order, class or any rank in the classification. Primarily derived from NCBI Taxonomy, the revisions were made as and when/where required in the rankings. The rank of genome types was added by this project. This taxonomy ontology focuses on the Poaceae (Gramineae) family of plant taxonomy only.","abbreviation":"GR-TAX","year_creation":2013},"legacy_ids":["bsg-001113","bsg-s001113"],"name":"FAIRsharing record for: Gramene Taxonomy Ontology","abbreviation":"GR-TAX","url":"https://fairsharing.org/10.25504/FAIRsharing.fmz635","doi":"10.25504/FAIRsharing.fmz635","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gramene Taxonomy Ontology (GR-TAX) is a representation of the taxonomy tree in the ontology format. Each term in this ontology can represent subspecies, species, genus, order, class or any rank in the classification. Primarily derived from NCBI Taxonomy, the revisions were made as and when/where required in the rankings. The rank of genome types was added by this project. This taxonomy ontology focuses on the Poaceae (Gramineae) family of plant taxonomy only.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Taxonomic classification"],"taxonomies":["Gramineae","Poaceae"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6464,"fairsharing_record_id":932,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:28:01.876Z","updated_at":"2021-09-30T09:28:01.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6463,"fairsharing_record_id":932,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:28:01.852Z","updated_at":"2021-09-30T09:28:01.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6465,"fairsharing_record_id":932,"organisation_id":548,"relation":"maintains","created_at":"2021-09-30T09:28:01.901Z","updated_at":"2021-09-30T09:28:01.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":548,"name":"Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"933","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:26.925Z","metadata":{"doi":"10.25504/FAIRsharing.hgnk8v","name":"Sample Tabular Format","status":"deprecated","contacts":[{"contact_name":"BioSamples Helpdesk","contact_email":"biosamples@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biosamples/docs/references/sampletab","identifier":933,"description":"The BioSamples Database uses the SampleTab file format for submissions. This is a tab-delimited file that can be created in many spreadsheet editing software packages (e.g. Microsoft Excel). Although SampleTab files can have some advanced features, they can be written by users from a wide range of backgrounds using tools they are already familiar with. The SampleTab format has a number of advanced features for power users, such as ontology mappings, anonymous groups, and UTF-8 character encoding. Although this format is still accepted, the administrators of the BioSamples Database recommend that all submissions to BioSamples be made in JSON via our JSON API.","abbreviation":"SampleTab","support_links":[{"url":"http://listserver.ebi.ac.uk/mailman/listinfo/biosamples-announce","name":"BioSamples Announce","type":"Mailing list"}],"year_creation":2010,"deprecation_date":"2020-03-09","deprecation_reason":"The BioSamples team have deprecated the SampleTab data model and are replacing it with their JSON schema."},"legacy_ids":["bsg-000262","bsg-s000262"],"name":"FAIRsharing record for: Sample Tabular Format","abbreviation":"SampleTab","url":"https://fairsharing.org/10.25504/FAIRsharing.hgnk8v","doi":"10.25504/FAIRsharing.hgnk8v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioSamples Database uses the SampleTab file format for submissions. This is a tab-delimited file that can be created in many spreadsheet editing software packages (e.g. Microsoft Excel). Although SampleTab files can have some advanced features, they can be written by users from a wide range of backgrounds using tools they are already familiar with. The SampleTab format has a number of advanced features for power users, such as ontology mappings, anonymous groups, and UTF-8 character encoding. Although this format is still accepted, the administrators of the BioSamples Database recommend that all submissions to BioSamples be made in JSON via our JSON API.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11193}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Biological sample annotation","Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":581,"relation":"undefined"}],"grants":[{"id":6466,"fairsharing_record_id":933,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:01.926Z","updated_at":"2021-09-30T09:28:01.926Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"934","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-20T09:10:25.726Z","metadata":{"doi":"10.25504/FAIRsharing.m21pn","name":"STrengthening the REporting of Genetic Association Studies","status":"ready","contacts":[{"contact_name":"Jullian Little","contact_email":"jlittle@uottawa.ca"}],"homepage":"https://www.equator-network.org/reporting-guidelines/strobe-strega/","citations":[{"doi":"10.1371/journal.pmed.1000022","pubmed_id":19192942,"publication_id":1824}],"identifier":934,"description":"The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies.","abbreviation":"STREGA","support_links":[],"year_creation":2009},"legacy_ids":["bsg-000037","bsg-s000037"],"name":"FAIRsharing record for: STrengthening the REporting of Genetic Association Studies","abbreviation":"STREGA","url":"https://fairsharing.org/10.25504/FAIRsharing.m21pn","doi":"10.25504/FAIRsharing.m21pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12101}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genetics","Biomedical Science"],"domains":["Deoxyribonucleic acid","Phenotype","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1824,"pubmed_id":19192942,"title":"STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement.","year":2009,"url":"http://doi.org/10.1371/journal.pmed.1000022","authors":"Little J,Higgins JP,Ioannidis JP,Moher D,Gagnon F,von Elm E,Khoury MJ,Cohen B,Davey-Smith G,Grimshaw J,Scheet P,Gwinn M,Williamson RE,Zou GY,Hutchings K,Johnson CY,Tait V,Wiens M,Golding J,van Duijn C,McLaughlin J,Paterson A,Wells G,Fortier I,Freedman M,Zecevic M,King R,Infante-Rivard C,Stewart A,Birkett N","journal":"PLoS Med","doi":"10.1371/journal.pmed.1000022","created_at":"2021-09-30T08:25:44.880Z","updated_at":"2021-09-30T08:25:44.880Z"},{"id":4140,"pubmed_id":null,"title":"Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE Statement","year":2009,"url":"http://dx.doi.org/10.1007/s00439-008-0592-7","authors":"Little, Julian; Higgins, Julian P. T.; Ioannidis, John P. A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey-Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante-Rivard, Claire; Stewart, Alex; Birkett, Nick; ","journal":"Hum Genet","doi":"10.1007/s00439-008-0592-7","created_at":"2024-02-20T08:44:12.720Z","updated_at":"2024-02-20T08:44:12.720Z"},{"id":4141,"pubmed_id":null,"title":"Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE statement","year":2009,"url":"http://dx.doi.org/10.1007/s10654-008-9302-y","authors":"Little, Julian; Higgins, Julian P. T.; Ioannidis, John P. A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey-Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante-Rivard, Claire; Stewart, Alex; Birkett, Nick; ","journal":"Eur J Epidemiol","doi":"10.1007/s10654-008-9302-y","created_at":"2024-02-20T08:44:30.019Z","updated_at":"2024-02-20T08:44:30.019Z"},{"id":4142,"pubmed_id":null,"title":"STrengthening the REporting of Genetic Association Studies (STREGA): An Extension of the STROBE Statement","year":2013,"url":"http://dx.doi.org/10.7326/0003-4819-150-3-200902030-00011","authors":"Little, Julian; ","journal":"Ann Intern Med","doi":"10.7326/0003-4819-150-3-200902030-00011","created_at":"2024-02-20T08:44:41.772Z","updated_at":"2024-02-20T08:44:41.772Z"},{"id":4143,"pubmed_id":null,"title":"Strengthening the reporting of genetic association studies (STREGA)—an extension of the strengthening the reporting of observational studies in epidemiology (STROBE) statement","year":2009,"url":"http://dx.doi.org/10.1016/j.jclinepi.2008.12.004","authors":"Little, Julian; Higgins, Julian P.T.; Ioannidis, John P.A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey-Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante-Rivard, Claire; Stewart, Alex F.; Birkett, Nick; ","journal":"Journal of Clinical Epidemiology","doi":"10.1016/j.jclinepi.2008.12.004","created_at":"2024-02-20T08:44:53.809Z","updated_at":"2024-02-20T08:44:53.809Z"},{"id":4144,"pubmed_id":null,"title":"STrengthening the REporting of Genetic Association Studies (STREGA)—an extension of the STROBE statement","year":2009,"url":"http://dx.doi.org/10.1002/gepi.20410","authors":"Little, Julian; Higgins, Julian P. T.; Ioannidis, John P. A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey‐Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante‐Rivard, Claire; Stewart,, Alex; Birkett, Nick; ","journal":"Genetic Epidemiology","doi":"10.1002/gepi.20410","created_at":"2024-02-20T08:45:06.193Z","updated_at":"2024-02-20T08:45:06.193Z"},{"id":4145,"pubmed_id":null,"title":"STrengthening the REporting of Genetic Association studies (STREGA) – an extension of the STROBE statement","year":2009,"url":"http://dx.doi.org/10.1111/j.1365-2362.2009.02125.x","authors":"Little, Julian; Higgins, Julian P.T.; Ioannidis, John P.A.; Moher, David; Gagnon, France; Von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey‐Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; Van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante‐Rivard, Claire; Stewart, Alex; Birkett, Nick; ","journal":"Eur J Clin Investigation","doi":"10.1111/j.1365-2362.2009.02125.x","created_at":"2024-02-20T08:45:16.892Z","updated_at":"2024-02-20T08:45:16.892Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3409,"relation":"applies_to_content"}],"grants":[{"id":6467,"fairsharing_record_id":934,"organisation_id":2653,"relation":"maintains","created_at":"2021-09-30T09:28:01.952Z","updated_at":"2021-09-30T09:28:01.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":2653,"name":"STREGA group, faculty of medecine, Ottawa, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"944","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T10:02:36.000Z","updated_at":"2021-11-24T13:20:07.555Z","metadata":{"doi":"10.25504/FAIRsharing.28yec8","name":"Minimum Information About a Bioinformatics investigation","status":"ready","contacts":[{"contact_name":"Shoba Ranganathan","contact_email":"shoba.ranganathan@mq.edu.au"}],"homepage":"http://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-11-S4-S27","identifier":944,"description":"The Minimum Information about a Bioinformatics investigation (MIABi) initiative specifies, through a series of documentation modules, the minimum information that should be provided for a bioinformatics investigation. The MIABi initiative arises from a response to the growing need for transparency, provenance and scientific reproducibility amongst the bioinformatics and computational biology community.","abbreviation":"MIABi","support_links":[{"url":"tinwee@bic.nus.edu.sg","type":"Support email"}],"year_creation":2010},"legacy_ids":["bsg-000650","bsg-s000650"],"name":"FAIRsharing record for: Minimum Information About a Bioinformatics investigation","abbreviation":"MIABi","url":"https://fairsharing.org/10.25504/FAIRsharing.28yec8","doi":"10.25504/FAIRsharing.28yec8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Bioinformatics investigation (MIABi) initiative specifies, through a series of documentation modules, the minimum information that should be provided for a bioinformatics investigation. The MIABi initiative arises from a response to the growing need for transparency, provenance and scientific reproducibility amongst the bioinformatics and computational biology community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Bioinformatics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","Singapore","United States"],"publications":[{"id":1116,"pubmed_id":21143811,"title":"Advancing standards for bioinformatics activities: persistence, reproducibility, disambiguation and Minimum Information About a Bioinformatics investigation (MIABi).","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-S4-S27","authors":"Tan TW,Tong JC,Khan AM,de Silva M,Lim KS,Ranganathan S","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-S4-S27","created_at":"2021-09-30T08:24:23.657Z","updated_at":"2021-09-30T08:24:23.657Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"945","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T20:24:37.000Z","updated_at":"2022-12-13T10:25:35.406Z","metadata":{"doi":"10.25504/FAIRsharing.D1OMbH","name":"Hierarchical Progressive Survey","status":"ready","contacts":[{"contact_name":"IVOA Applications Working Group","contact_email":"apps@ivoa.net"}],"homepage":"http://ivoa.net/documents/HiPS/index.html","citations":[{"publication_id":2932}],"identifier":945,"description":"The HiPS format is a hierarchical scheme for the description, storage and access of sky survey data. The system is based on hierarchical tiling of sky regions at finer and finer spatial resolution which facilitates a progressive view of a survey, and supports multi-resolution zooming and panning. HiPS uses the HEALPix tessellation of the sky as the basis for the scheme and is implemented as a simple file structure with a direct indexing scheme that leads to practical implementations. HiPS is designed specifically for astronomical data in that it takes the astrometric and photometric properties of the original data into account, and emphasis is placed on ease of use without the need for special servers or database systems.","abbreviation":"HiPS","year_creation":2016},"legacy_ids":["bsg-001146","bsg-s001146"],"name":"FAIRsharing record for: Hierarchical Progressive Survey","abbreviation":"HiPS","url":"https://fairsharing.org/10.25504/FAIRsharing.D1OMbH","doi":"10.25504/FAIRsharing.D1OMbH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HiPS format is a hierarchical scheme for the description, storage and access of sky survey data. The system is based on hierarchical tiling of sky regions at finer and finer spatial resolution which facilitates a progressive view of a survey, and supports multi-resolution zooming and panning. HiPS uses the HEALPix tessellation of the sky as the basis for the scheme and is implemented as a simple file structure with a direct indexing scheme that leads to practical implementations. HiPS is designed specifically for astronomical data in that it takes the astrometric and photometric properties of the original data into account, and emphasis is placed on ease of use without the need for special servers or database systems.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11484}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2932,"pubmed_id":null,"title":"HiPS - Hierarchical Progressive Survey Version 1.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0519F","authors":"Fernique, Pierre; Allen, Mark; Boch, Thomas; Donaldson, Tom; Durand, Daniel; Ebisawa, Ken; Michel, Laurent; Salgado, Jesus; Stoehr, Felix","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.275Z","updated_at":"2021-09-30T08:28:01.275Z"}],"licence_links":[],"grants":[{"id":6486,"fairsharing_record_id":945,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:02.676Z","updated_at":"2021-09-30T09:28:02.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6485,"fairsharing_record_id":945,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:02.583Z","updated_at":"2021-09-30T09:30:27.222Z","grant_id":718,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"GA 653477","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6484,"fairsharing_record_id":945,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:02.542Z","updated_at":"2021-09-30T09:28:02.542Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"946","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:56.406Z","metadata":{"doi":"10.25504/FAIRsharing.7d0yv9","name":"Minimal Information About a Cellular Assay","status":"ready","contacts":[{"contact_name":"Stefan Wiemann","contact_email":"s.wiemann@dkfz.de"}],"homepage":"http://miaca.sourceforge.net/","identifier":946,"description":"The Minimum Information About a Cellular Assay (MIACA) was developed as an information guideline and a modular Cellular Assay Object Model (CA-OM) that is capable of covering the range of cellular assays possible and which is the basis for efficient data exchange. We invite broad participation in the further development of MIACA and the contents of its object model, to create a widely accepted guideline that will facilitate an efficient assessment of data quality and relevance, and to stimulate the development of databases that will take cell assay data and their accompanying description in a standardized format.","abbreviation":"MIACA","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/miaca-announce","type":"Mailing list"},{"url":"http://sourceforge.net/project/showfiles.php?group_id=158121","type":"Help documentation"},{"url":"http://mibbi.sourceforge.net/projects/MIACA.shtml","type":"Help documentation"},{"url":"https://sourceforge.net/projects/miaca/","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000164","bsg-s000164"],"name":"FAIRsharing record for: Minimal Information About a Cellular Assay","abbreviation":"MIACA","url":"https://fairsharing.org/10.25504/FAIRsharing.7d0yv9","doi":"10.25504/FAIRsharing.7d0yv9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information About a Cellular Assay (MIACA) was developed as an information guideline and a modular Cellular Assay Object Model (CA-OM) that is capable of covering the range of cellular assays possible and which is the basis for efficient data exchange. We invite broad participation in the further development of MIACA and the contents of its object model, to create a widely accepted guideline that will facilitate an efficient assessment of data quality and relevance, and to stimulate the development of databases that will take cell assay data and their accompanying description in a standardized format.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10869},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11144},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11568},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11943}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Biomedical Science"],"domains":["Cell","Cellular assay","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Finland","Germany","Japan","Sweden","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"MIACA Full Copyright Notice","licence_id":514,"licence_url":"http://miaca.sourceforge.net/copyrightNotice.txt","link_id":534,"relation":"undefined"}],"grants":[{"id":6487,"fairsharing_record_id":946,"organisation_id":2749,"relation":"maintains","created_at":"2021-09-30T09:28:02.713Z","updated_at":"2021-09-30T09:28:02.713Z","grant_id":null,"is_lead":false,"saved_state":{"id":2749,"name":"The Cell Based Assay Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"947","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-07-20T12:36:14.613Z","metadata":{"doi":"10.25504/FAIRsharing.x9s8e","name":"Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","status":"ready","contacts":[{"contact_name":"RIKEN IMS Contact","contact_email":"ims-web@riken.jp"}],"homepage":"https://bioportal.bioontology.org/ontologies/RPO","identifier":947,"description":"The Resource of Asian Primary Immunodeficiency Diseases (RAPID) Phenotype Ontology (RPO) is a controlled vocabulary for phenotypic terms for primary immunodeficiency diseases (PIDs) used within the RAPID database. It is intended to facilitate global sharing and free exchange of PID data with users’ communities. Please note that, while available via BioPortal, the RAPID phenotype ontology is no longer being updated.","abbreviation":"RPO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RPO","name":"RPO","portal":"BioPortal"}]},"legacy_ids":["bsg-000742","bsg-s000742"],"name":"FAIRsharing record for: Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","abbreviation":"RPO","url":"https://fairsharing.org/10.25504/FAIRsharing.x9s8e","doi":"10.25504/FAIRsharing.x9s8e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Resource of Asian Primary Immunodeficiency Diseases (RAPID) Phenotype Ontology (RPO) is a controlled vocabulary for phenotypic terms for primary immunodeficiency diseases (PIDs) used within the RAPID database. It is intended to facilitate global sharing and free exchange of PID data with users’ communities. Please note that, while available via BioPortal, the RAPID phenotype ontology is no longer being updated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunogenetics","Immunology"],"domains":["Phenotype","Immune system"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India","Japan"],"publications":[],"licence_links":[],"grants":[{"id":6489,"fairsharing_record_id":947,"organisation_id":2444,"relation":"maintains","created_at":"2021-09-30T09:28:02.769Z","updated_at":"2021-09-30T09:28:02.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":2444,"name":"RIKEN Center for Integrative Medical Sciences (IMS), Yokohama City, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6488,"fairsharing_record_id":947,"organisation_id":1402,"relation":"maintains","created_at":"2021-09-30T09:28:02.746Z","updated_at":"2021-09-30T09:28:02.746Z","grant_id":null,"is_lead":false,"saved_state":{"id":1402,"name":"Institute of Bioinformatics, Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"949","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-13T09:29:12.370Z","metadata":{"doi":"10.25504/FAIRsharing.rtzdrx","name":"Bacterial interlocked Process ONtology","status":"ready","contacts":[{"contact_name":"Anne Goelzer","contact_email":"anne.goelzer@inra.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/BIPON","citations":[],"identifier":949,"description":"BiPON is an ontology permitting a multi-scale systemic representation of bacterial cellular processes and the coupling to their mathematical models. BiPON is further composed of two sub- ontologies, bioBiPON and modelBiPON. bioBiPON aims at organizing the systemic description of biological information while modelBiPON aims at describing the mathematical models (including parameters) associated to each biological process.","abbreviation":"BIPON","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIPON","name":"BIPON","portal":"BioPortal"}]},"legacy_ids":["bsg-000746","bsg-s000746"],"name":"FAIRsharing record for: Bacterial interlocked Process ONtology","abbreviation":"BIPON","url":"https://fairsharing.org/10.25504/FAIRsharing.rtzdrx","doi":"10.25504/FAIRsharing.rtzdrx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BiPON is an ontology permitting a multi-scale systemic representation of bacterial cellular processes and the coupling to their mathematical models. BiPON is further composed of two sub- ontologies, bioBiPON and modelBiPON. bioBiPON aims at organizing the systemic description of biological information while modelBiPON aims at describing the mathematical models (including parameters) associated to each biological process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Microbiology"],"domains":["Mathematical model"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"952","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:16:38.670Z","metadata":{"doi":"10.25504/FAIRsharing.sfkmej","name":"Biological Pathway eXchange","status":"ready","contacts":[{"contact_name":"BioPAX group","contact_email":"biopax-discuss@googlegroups.com"}],"homepage":"http://biopax.org/","citations":[{"doi":"10.1038/nbt.1666","pubmed_id":20829833,"publication_id":2142}],"identifier":952,"description":"BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. By offering a standard, with well-defined semantics for pathway representation, BioPAX allows pathway databases and software to interact more efficiently. In addition, BioPAX enables the development of pathway visualization from databases and facilitates analysis of experimentally generated data through combination with prior knowledge. The BioPAX effort is coordinated closely with that of other pathway related standards initiatives namely; PSI-MI, SBML, CellML, and SBGN in order to deliver a compatible standard in the areas where they overlap.","abbreviation":"BioPAX","support_links":[{"url":"https://groups.google.com/forum/#!forum/biopax-discuss","name":"BioPAX Discussion Forum","type":"Forum"},{"url":"https://github.com/BioPAX","name":"GitHub Repository","type":"Github"}],"year_creation":2002,"associated_tools":[{"url":"http://www.biopax.org/validator","name":"BioPAX Validator"},{"url":"https://biopax.github.io/Paxtools/","name":"Paxtools (Java Libraries)"}]},"legacy_ids":["bsg-000038","bsg-s000038"],"name":"FAIRsharing record for: Biological Pathway eXchange","abbreviation":"BioPAX","url":"https://fairsharing.org/10.25504/FAIRsharing.sfkmej","doi":"10.25504/FAIRsharing.sfkmej","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. By offering a standard, with well-defined semantics for pathway representation, BioPAX allows pathway databases and software to interact more efficiently. In addition, BioPAX enables the development of pathway visualization from databases and facilitates analysis of experimentally generated data through combination with prior knowledge. The BioPAX effort is coordinated closely with that of other pathway related standards initiatives namely; PSI-MI, SBML, CellML, and SBGN in order to deliver a compatible standard in the areas where they overlap.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10844},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11135},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11916},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12192},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16948}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science","Systems Biology"],"domains":["Mathematical model","Resource metadata","Modeling and simulation","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","France","Germany","Japan","United Kingdom","United States","Worldwide"],"publications":[{"id":2142,"pubmed_id":20829833,"title":"The BioPAX community standard for pathway data sharing.","year":2010,"url":"http://doi.org/10.1038/nbt.1666","authors":"Demir E,Cary MP,Paley S et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt.1666","created_at":"2021-09-30T08:26:21.458Z","updated_at":"2021-09-30T08:26:21.458Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2090,"relation":"undefined"}],"grants":[{"id":6495,"fairsharing_record_id":952,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:28:03.052Z","updated_at":"2021-09-30T09:28:03.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6493,"fairsharing_record_id":952,"organisation_id":3141,"relation":"maintains","created_at":"2021-09-30T09:28:02.935Z","updated_at":"2021-09-30T09:28:02.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":3141,"name":"University of Toronto, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6494,"fairsharing_record_id":952,"organisation_id":385,"relation":"maintains","created_at":"2021-09-30T09:28:02.973Z","updated_at":"2021-09-30T09:28:02.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":385,"name":"cBio Center at the Dana-Farber Cancer Institute and at Harvard Medical School, Boston, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"953","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:43.446Z","metadata":{"doi":"10.25504/FAIRsharing.qaaj0q","name":"Gene Feature File version 1","status":"deprecated","homepage":"http://www.sanger.ac.uk/resources/software/gff/spec.html","identifier":953,"description":"The GFF file format stands for \"Gene Finding Format\" and was invented at the Sanger Centre. GFF is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3.","abbreviation":"GFF","deprecation_date":"2016-11-25","deprecation_reason":"According to GMOD, this format has been superseded, first by GFF2, and then by GFF3 (https://biosharing.org/bsg-s000235)"},"legacy_ids":["bsg-000234","bsg-s000234"],"name":"FAIRsharing record for: Gene Feature File version 1","abbreviation":"GFF","url":"https://fairsharing.org/10.25504/FAIRsharing.qaaj0q","doi":"10.25504/FAIRsharing.qaaj0q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GFF file format stands for \"Gene Finding Format\" and was invented at the Sanger Centre. GFF is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11162}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"955","type":"fairsharing_records","attributes":{"created_at":"2018-10-15T20:39:30.000Z","updated_at":"2022-02-08T10:50:49.596Z","metadata":{"doi":"10.25504/FAIRsharing.e36460","name":"Cruise Summary Reports","status":"ready","contacts":[{"contact_name":"SeaDataNet User Desk","contact_email":"sdn-userdesk@seadatanet.org"}],"homepage":"https://www.seadatanet.org/Standards/Metadata-formats/CSR","identifier":955,"description":"Cruise Summary Reports (CSR = former ROSCOPs) are the usual means in SeaDataNet for reporting on cruises or field experiments at sea. Traditionally, it is the Chief Scientist's obligation to submit a CSR to his/her National Oceanographic Data Centre (NODC) not later than two weeks after the cruise. This provides a first level inventory of measurements and samples collected at sea. Information such as the ship track, objectives of the cruise and principal investigators contacts are also included among other metadata elements tested to be useful in by the marine community practice. The Reports have been compiled over time and encoded using . Though in the past a XML schema derived from ISO 19115 DTD was used, the current implementation utilizes the ISO 19139 Schema.","abbreviation":"CSR","support_links":[{"url":"https://www.seadatanet.org/sendform/contact","name":"Contact SeaDataNet","type":"Contact form"}]},"legacy_ids":["bsg-001327","bsg-s001327"],"name":"FAIRsharing record for: Cruise Summary Reports","abbreviation":"CSR","url":"https://fairsharing.org/10.25504/FAIRsharing.e36460","doi":"10.25504/FAIRsharing.e36460","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cruise Summary Reports (CSR = former ROSCOPs) are the usual means in SeaDataNet for reporting on cruises or field experiments at sea. Traditionally, it is the Chief Scientist's obligation to submit a CSR to his/her National Oceanographic Data Centre (NODC) not later than two weeks after the cruise. This provides a first level inventory of measurements and samples collected at sea. Information such as the ship track, objectives of the cruise and principal investigators contacts are also included among other metadata elements tested to be useful in by the marine community practice. The Reports have been compiled over time and encoded using . Though in the past a XML schema derived from ISO 19115 DTD was used, the current implementation utilizes the ISO 19139 Schema.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Data Management","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6496,"fairsharing_record_id":955,"organisation_id":2533,"relation":"maintains","created_at":"2021-09-30T09:28:03.091Z","updated_at":"2021-09-30T09:28:03.091Z","grant_id":null,"is_lead":true,"saved_state":{"id":2533,"name":"SeaDataNet","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"956","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-21T11:29:23.306Z","metadata":{"doi":"10.25504/FAIRsharing.wstthd","name":"CONSOlidated Standards of Reporting Trials - Official Extensions","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/consort/","citations":[],"identifier":956,"description":"The main CONSORT Statement is based on the \"standard\" two-group parallel design. However, there are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). To help improve the reporting of these trials the main CONSORT Statement has been extended and modified by members of the CONSORT group for application in these various areas.","abbreviation":"CONSORT - OE","support_links":[{"url":"http://www.consort-statement.org/blog","type":"Blog/News"},{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"http://www.consort-statement.org/extensions/","type":"Help documentation"},{"url":"http://www.consort-statement.org/checklists/view/32-consort/66-title","type":"Help documentation"},{"url":"https://twitter.com/CONSORTing","type":"Twitter"}]},"legacy_ids":["bsg-000142","bsg-s000142"],"name":"FAIRsharing record for: CONSOlidated Standards of Reporting Trials - Official Extensions","abbreviation":"CONSORT - OE","url":"https://fairsharing.org/10.25504/FAIRsharing.wstthd","doi":"10.25504/FAIRsharing.wstthd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The main CONSORT Statement is based on the \"standard\" two-group parallel design. However, there are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). To help improve the reporting of these trials the main CONSORT Statement has been extended and modified by members of the CONSORT group for application in these various areas.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11944},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12409}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Preclinical Studies"],"domains":["Data acquisition"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":955,"pubmed_id":23443445,"title":"Reporting of patient-reported outcomes in randomized trials: the CONSORT PRO extension.","year":2013,"url":"http://doi.org/10.1001/jama.2013.879","authors":"Calvert M,Blazeby J,Altman DG,Revicki DA,Moher D,Brundage MD","journal":"JAMA","doi":"10.1001/jama.2013.879","created_at":"2021-09-30T08:24:05.638Z","updated_at":"2021-09-30T08:24:05.638Z"},{"id":1174,"pubmed_id":24168680,"title":"The CONSORT Patient-Reported Outcome (PRO) extension: implications for clinical trials and practice.","year":2013,"url":"http://doi.org/10.1186/1477-7525-11-184","authors":"Calvert M,Brundage M,Jacobsen PB,Schunemann HJ,Efficace F","journal":"Health Qual Life Outcomes","doi":"10.1186/1477-7525-11-184","created_at":"2021-09-30T08:24:30.500Z","updated_at":"2021-09-30T08:24:30.500Z"},{"id":1328,"pubmed_id":28168602,"title":"Preliminary evidence on the uptake, use and benefits of the CONSORT-PRO extension.","year":2017,"url":"http://doi.org/10.1007/s11136-017-1508-6","authors":"Mercieca-Bebber R,Rouette J,Calvert M,King MT,McLeod L,Holch P,Palmer MJ,Brundage M","journal":"Qual Life Res","doi":"10.1007/s11136-017-1508-6","created_at":"2021-09-30T08:24:48.667Z","updated_at":"2021-09-30T08:24:48.667Z"}],"licence_links":[],"grants":[{"id":6501,"fairsharing_record_id":956,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:03.255Z","updated_at":"2021-09-30T09:28:03.255Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6497,"fairsharing_record_id":956,"organisation_id":996,"relation":"funds","created_at":"2021-09-30T09:28:03.124Z","updated_at":"2021-09-30T09:28:03.124Z","grant_id":null,"is_lead":false,"saved_state":{"id":996,"name":"Family Hearth International (FHI 360), Durham, NC, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6500,"fairsharing_record_id":956,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:28:03.222Z","updated_at":"2021-09-30T09:28:03.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6502,"fairsharing_record_id":956,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:28:03.288Z","updated_at":"2021-09-30T09:28:03.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6503,"fairsharing_record_id":956,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:28:03.330Z","updated_at":"2021-09-30T09:28:03.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6499,"fairsharing_record_id":956,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:28:03.184Z","updated_at":"2021-09-30T09:29:25.624Z","grant_id":244,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","grant":"C5529","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11395,"fairsharing_record_id":956,"organisation_id":2280,"relation":"funds","created_at":"2024-02-20T11:26:15.902Z","updated_at":"2024-02-20T11:26:15.902Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"957","type":"fairsharing_records","attributes":{"created_at":"2018-09-10T21:03:22.000Z","updated_at":"2022-02-08T10:50:13.092Z","metadata":{"doi":"10.25504/FAIRsharing.b8b212","name":"Extensible Stylesheet Language","status":"ready","contacts":[{"contact_name":"Anders Berglund","contact_email":"alrb@us.ibm.com"}],"homepage":"http://www.w3.org/TR/xsl11/","identifier":957,"description":"This specification defines the features and syntax for the Extensible Stylesheet Language (XSL, also known colloquially as the Extensible Stylesheet Language Formatting Objects (XSLFO)), a language for expressing stylesheets. XSL is a family of recommendations for defining XML document transformation and presentation. It consists of three parts: XSL Transformations (XSLT), a language for transforming XML; The XML Path Language (XPath), an expression language used by XSLT (and many other languages) to access or refer to parts of an XML document; and XSL Formatting Objects (XSL-FO), an XML vocabulary for specifying formatting semantics (described here).","abbreviation":"XSL","year_creation":2006},"legacy_ids":["bsg-001289","bsg-s001289"],"name":"FAIRsharing record for: Extensible Stylesheet Language","abbreviation":"XSL","url":"https://fairsharing.org/10.25504/FAIRsharing.b8b212","doi":"10.25504/FAIRsharing.b8b212","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This specification defines the features and syntax for the Extensible Stylesheet Language (XSL, also known colloquially as the Extensible Stylesheet Language Formatting Objects (XSLFO)), a language for expressing stylesheets. XSL is a family of recommendations for defining XML document transformation and presentation. It consists of three parts: XSL Transformations (XSLT), a language for transforming XML; The XML Path Language (XPath), an expression language used by XSLT (and many other languages) to access or refer to parts of an XML document; and XSL Formatting Objects (XSL-FO), an XML vocabulary for specifying formatting semantics (described here).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Free text","Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":304,"relation":"undefined"}],"grants":[{"id":6504,"fairsharing_record_id":957,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:03.412Z","updated_at":"2021-09-30T09:28:03.412Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"958","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T10:19:51.000Z","updated_at":"2023-06-05T06:23:22.617Z","metadata":{"doi":"10.25504/FAIRsharing.XfpPv7","name":"History and Sciences of Religions Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/4V5/en/","citations":[],"identifier":958,"description":"Controlled vocabulary used for indexing bibliographical records for the \"History and Sciences of Religions\" FRANCIS database (1972-2015). It consists of 4579 entries available in 3 languages (English, French, and Spanish).","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001404","bsg-s001404"],"name":"FAIRsharing record for: History and Sciences of Religions Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.XfpPv7","doi":"10.25504/FAIRsharing.XfpPv7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"History and Sciences of Religions\" FRANCIS database (1972-2015). It consists of 4579 entries available in 3 languages (English, French, and Spanish).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11290}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Religious Studies","Humanities and Social Science","History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1683,"relation":"undefined"}],"grants":[{"id":6505,"fairsharing_record_id":958,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:03.489Z","updated_at":"2021-09-30T09:28:03.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6506,"fairsharing_record_id":958,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:03.532Z","updated_at":"2021-09-30T09:28:03.532Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"959","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T13:38:36.000Z","updated_at":"2022-04-11T12:07:18.223Z","metadata":{"doi":"10.25504/FAIRsharing.d5a210","name":"IUPAC-IUB Joint Commission on Biochemical Nomenclature - Nomenclature and Symbolism for Amino Acids and Peptides","status":"ready","contacts":[{"contact_name":"G. P. Moss","contact_email":"g.p.moss@qmul.ac.uk"}],"homepage":"https://www.qmul.ac.uk/sbcs/iupac/misc/naabb.html","identifier":959,"description":"The Nomenclature and Symbolism for Amino Acids and Peptides, created by the IUPAC-IUB Joint Commission on Biochemical Nomenclature, formalizes the naming scheme for amino acids, non-peptide derivatives of amino acids and peptides as well as peptide derivatives. It also describes the 3-letter and 1-letter symbols for amino acids.","abbreviation":"JCBN - Amino Acids and Peptides","support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iupac/jcbn/membr.html","name":"Contact Committee Members","type":"Contact form"}],"year_creation":1983},"legacy_ids":["bsg-001400","bsg-s001400"],"name":"FAIRsharing record for: IUPAC-IUB Joint Commission on Biochemical Nomenclature - Nomenclature and Symbolism for Amino Acids and Peptides","abbreviation":"JCBN - Amino Acids and Peptides","url":"https://fairsharing.org/10.25504/FAIRsharing.d5a210","doi":"10.25504/FAIRsharing.d5a210","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nomenclature and Symbolism for Amino Acids and Peptides, created by the IUPAC-IUB Joint Commission on Biochemical Nomenclature, formalizes the naming scheme for amino acids, non-peptide derivatives of amino acids and peptides as well as peptide derivatives. It also describes the 3-letter and 1-letter symbols for amino acids.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry"],"domains":["Peptide identification","Peptide","Classification","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6508,"fairsharing_record_id":959,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:28:03.598Z","updated_at":"2021-09-30T09:28:03.598Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}},{"id":9156,"fairsharing_record_id":959,"organisation_id":1533,"relation":"maintains","created_at":"2022-04-11T12:07:18.210Z","updated_at":"2022-04-11T12:07:18.210Z","grant_id":null,"is_lead":true,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"935","type":"fairsharing_records","attributes":{"created_at":"2015-04-21T13:20:22.000Z","updated_at":"2022-07-20T13:07:41.104Z","metadata":{"doi":"10.25504/FAIRsharing.wf28wm","name":"UniProt Taxonomy","status":"ready","contacts":[{"contact_name":"UniProt helpdesk","contact_email":"help@uniprot.org"}],"homepage":"http://www.uniprot.org/taxonomy/","identifier":935,"description":"The taxonomy database that is maintained by the UniProt group is based on the NCBI taxonomy database, which is supplemented with data specific to the UniProt Knowledgebase (UniProtKB). While the NCBI taxonomy is updated daily to be in sync with GenBank/EMBL-Bank/DDBJ, the UniProt taxonomy is updated only at UniProt releases to be in sync with UniProtKB. It may therefore happen that for the time period of a UniProt release, you can find new taxa at the NCBI that are not yet in UniProt (and vice versa for deleted taxa). Species with manually annotated and reviewed protein sequences in the Swiss-Prot section of UniProtKB are named according to UniProt nomenclature. In particular, we have adopted a systematic convention for naming viral and bacterial strains and isolates.","abbreviation":"UP Taxonomy","support_links":[{"url":"help@uniprot.org","name":"UniProt Helpdesk","type":"Support email"},{"url":"https://www.uniprot.org/help/taxonomy","name":"Help Pages","type":"Help documentation"},{"url":"https://www.uniprot.org/docs/speclist","name":"CV of UniProt Species","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCkCR5RJZCZZoVTQzTYY92aw","name":"UniProt YouTube Channel","type":"Video"}],"year_creation":2003},"legacy_ids":["bsg-000587","bsg-s000587"],"name":"FAIRsharing record for: UniProt Taxonomy","abbreviation":"UP Taxonomy","url":"https://fairsharing.org/10.25504/FAIRsharing.wf28wm","doi":"10.25504/FAIRsharing.wf28wm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The taxonomy database that is maintained by the UniProt group is based on the NCBI taxonomy database, which is supplemented with data specific to the UniProt Knowledgebase (UniProtKB). While the NCBI taxonomy is updated daily to be in sync with GenBank/EMBL-Bank/DDBJ, the UniProt taxonomy is updated only at UniProt releases to be in sync with UniProtKB. It may therefore happen that for the time period of a UniProt release, you can find new taxa at the NCBI that are not yet in UniProt (and vice versa for deleted taxa). Species with manually annotated and reviewed protein sequences in the Swiss-Prot section of UniProtKB are named according to UniProt nomenclature. In particular, we have adopted a systematic convention for naming viral and bacterial strains and isolates.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1345,"relation":"undefined"}],"grants":[{"id":6469,"fairsharing_record_id":935,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:02.002Z","updated_at":"2021-09-30T09:28:02.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6468,"fairsharing_record_id":935,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:01.976Z","updated_at":"2021-09-30T09:28:01.976Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"936","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.488Z","metadata":{"doi":"10.25504/FAIRsharing.619eqr","name":"Cerebrotendinous Xanthomatosis Ontology","status":"uncertain","contacts":[{"contact_name":"Maria Taboada","contact_email":"maria.taboada@usc.es","contact_orcid":"0000-0002-2353-596X"}],"homepage":"http://bioportal.bioontology.org/ontologies/CTX","identifier":936,"description":"The ontology represents CTX phenotypes, genetic variants, and bidirectional relationships between them though a patient model. The CTX ontology was build reusing the Human Phenotype Ontology (HPO) and the Snomed ct ontologies. A set of temporal clinical manifestations are semantically annotated with a domain phenotype ontology and registered with a time-stamped value.","abbreviation":"CTX","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTX","name":"CTX","portal":"BioPortal"}]},"legacy_ids":["bsg-002797","bsg-s002797"],"name":"FAIRsharing record for: Cerebrotendinous Xanthomatosis Ontology","abbreviation":"CTX","url":"https://fairsharing.org/10.25504/FAIRsharing.619eqr","doi":"10.25504/FAIRsharing.619eqr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology represents CTX phenotypes, genetic variants, and bidirectional relationships between them though a patient model. The CTX ontology was build reusing the Human Phenotype Ontology (HPO) and the Snomed ct ontologies. A set of temporal clinical manifestations are semantically annotated with a domain phenotype ontology and registered with a time-stamped value.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Biomedical Science","Preclinical Studies"],"domains":["Lipid","Phenotype","Disease","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":2132,"pubmed_id":23759795,"title":"Cerebrotendinous xanthomatosis.","year":2013,"url":"http://doi.org/10.1097/MOL.0b013e328362df13","authors":"Bjorkhem I","journal":"Curr Opin Lipidol","doi":"10.1097/MOL.0b013e328362df13","created_at":"2021-09-30T08:26:20.424Z","updated_at":"2021-09-30T08:26:20.424Z"}],"licence_links":[],"grants":[{"id":6470,"fairsharing_record_id":936,"organisation_id":627,"relation":"maintains","created_at":"2021-09-30T09:28:02.026Z","updated_at":"2021-09-30T09:28:02.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":627,"name":"CTX Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"937","type":"fairsharing_records","attributes":{"created_at":"2016-01-18T16:43:40.000Z","updated_at":"2023-03-21T16:00:02.338Z","metadata":{"doi":"10.25504/FAIRsharing.wvdvwp","name":"Electron Microscope Exchange Initiative","status":"deprecated","contacts":[{"contact_name":"Roberto Marabini","contact_email":"emx@cnb.csic.es","contact_orcid":"0000-0001-7876-1684"}],"homepage":"http://i2pc.cnb.csic.es/emx","citations":[],"identifier":937,"description":"The Electron Microscopy Exchange (EMX) format is a standard for metadata exchange in 3D electron microscopy.","abbreviation":"EMX","support_links":[{"url":"http://i2pc.cnb.csic.es/emx/LoadDictionaryFormat.htm?type=LabelList","type":"Help documentation"}],"year_creation":2016,"deprecation_date":"2023-03-20","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000635","bsg-s000635"],"name":"FAIRsharing record for: Electron Microscope Exchange Initiative","abbreviation":"EMX","url":"https://fairsharing.org/10.25504/FAIRsharing.wvdvwp","doi":"10.25504/FAIRsharing.wvdvwp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Electron Microscopy Exchange (EMX) format is a standard for metadata exchange in 3D electron microscopy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Microscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1823,"pubmed_id":26873784,"title":"The Electron Microscopy eXchange (EMX) initiative.","year":2016,"url":"http://doi.org/10.1016/j.jsb.2016.02.008","authors":"Marabini R,Ludtke SJ,Murray SC,Chiu W,de la Rosa-Trevin JM,Patwardhan A,Heymann JB,Carazo JM","journal":"J Struct Biol","doi":"10.1016/j.jsb.2016.02.008","created_at":"2021-09-30T08:25:44.773Z","updated_at":"2021-09-30T08:25:44.773Z"}],"licence_links":[],"grants":[{"id":6471,"fairsharing_record_id":937,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:28:02.052Z","updated_at":"2021-09-30T09:29:32.694Z","grant_id":293,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"AIC-A-2011-0638","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6475,"fairsharing_record_id":937,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:02.242Z","updated_at":"2021-09-30T09:31:03.071Z","grant_id":993,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01GM079429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6473,"fairsharing_record_id":937,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:02.171Z","updated_at":"2021-09-30T09:31:10.018Z","grant_id":1048,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"EINFRA-2015–1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6472,"fairsharing_record_id":937,"organisation_id":1457,"relation":"maintains","created_at":"2021-09-30T09:28:02.133Z","updated_at":"2021-09-30T09:28:02.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":1457,"name":"Instruct Image Processing Center (I2CP), Madrid, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9044,"fairsharing_record_id":937,"organisation_id":595,"relation":"funds","created_at":"2022-03-28T13:31:27.693Z","updated_at":"2022-03-28T13:31:27.693Z","grant_id":1450,"is_lead":false,"saved_state":{"id":595,"name":"Comunidad de Madrid (CAM), Madrid, Spain","grant":"S2010/BMD-2305","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8006,"fairsharing_record_id":937,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:30:21.540Z","updated_at":"2021-09-30T09:30:21.585Z","grant_id":674,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2013-44647-R","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"938","type":"fairsharing_records","attributes":{"created_at":"2016-03-13T11:27:32.000Z","updated_at":"2021-11-24T13:13:44.990Z","metadata":{"doi":"10.25504/FAIRsharing.vh2ye1","name":"Minimum Information About Cell Migration Experiment","status":"in_development","contacts":[{"contact_name":"Alejandra Gonzalez-Beltran","contact_email":"alejandra.gonzalez.beltran@gmail.com","contact_orcid":"0000-0003-3499-8262"}],"homepage":"http://cmso.science/","identifier":938,"description":"The Minimum Information About Cell Migration Experiment is being defined by the Cell Migration Standardization Organization.","abbreviation":"MIACME","support_links":[{"url":"https://cmso.science/mailing-lists/","type":"Contact form"},{"url":"wg1-cmso-minimalrequirements@vib-ugent.be","type":"Support email"},{"url":"https://github.com/CellMigStandOrg/MIACME","type":"Github"},{"url":"https://cmso.science/","type":"Help documentation"},{"url":"https://twitter.com/CellMigStandOrg","type":"Twitter"}],"year_creation":2016},"legacy_ids":["bsg-000642","bsg-s000642"],"name":"FAIRsharing record for: Minimum Information About Cell Migration Experiment","abbreviation":"MIACME","url":"https://fairsharing.org/10.25504/FAIRsharing.vh2ye1","doi":"10.25504/FAIRsharing.vh2ye1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information About Cell Migration Experiment is being defined by the Cell Migration Standardization Organization.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10886}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Cell Biology"],"domains":["Cell migration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":101,"relation":"undefined"}],"grants":[{"id":6477,"fairsharing_record_id":938,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:02.325Z","updated_at":"2021-09-30T09:31:30.527Z","grant_id":1203,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"MULTIMOT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6476,"fairsharing_record_id":938,"organisation_id":396,"relation":"maintains","created_at":"2021-09-30T09:28:02.284Z","updated_at":"2021-09-30T09:28:02.284Z","grant_id":null,"is_lead":false,"saved_state":{"id":396,"name":"Cell Migration Standardisation Organisation (CMSO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"941","type":"fairsharing_records","attributes":{"created_at":"2021-02-15T16:48:34.000Z","updated_at":"2021-11-24T13:17:40.786Z","metadata":{"doi":"10.25504/FAIRsharing.cd2f9e","name":"Hypertext Transfer Protocol Secure","status":"ready","homepage":"https://en.wikipedia.org/wiki/HTTPS","identifier":941,"description":"Hypertext Transfer Protocol Secure (HTTPS) is an extension of the Hypertext Transfer Protocol (HTTP). It is used for secure communication over a computer network, and is widely used on the Internet. In HTTPS, the communication protocol is encrypted using Transport Layer Security (TLS) or, formerly, Secure Sockets Layer (SSL). The protocol is therefore also referred to as HTTP over TLS, or HTTP over SSL.","abbreviation":"HTTPS","year_creation":1994},"legacy_ids":["bsg-001593","bsg-s001593"],"name":"FAIRsharing record for: Hypertext Transfer Protocol Secure","abbreviation":"HTTPS","url":"https://fairsharing.org/10.25504/FAIRsharing.cd2f9e","doi":"10.25504/FAIRsharing.cd2f9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Hypertext Transfer Protocol Secure (HTTPS) is an extension of the Hypertext Transfer Protocol (HTTP). It is used for secure communication over a computer network, and is widely used on the Internet. In HTTPS, the communication protocol is encrypted using Transport Layer Security (TLS) or, formerly, Secure Sockets Layer (SSL). The protocol is therefore also referred to as HTTP over TLS, or HTTP over SSL.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13206},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13240},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13247},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13281},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13291}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Internet protocol"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"942","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:25.819Z","metadata":{"doi":"10.25504/FAIRsharing.v5xfnf","name":"Globally Unique Identifier and Life Science Identifier Applicability Statement","status":"ready","contacts":[{"contact_name":"Kevin Richards","contact_email":"richardsk777@gmail.com","contact_orcid":"0000-0001-6570-7443"}],"homepage":"https://github.com/tdwg/guid-as","identifier":942,"description":"GUIDs are Globally Unique Identifiers which should be referentially consistent and resolvable in order to support tests of uniqueness and the acquisition of associated metadata. Further, permanent and robust resolution services need to be available. The TDWG Globally Unique Identifiers Task Group (TDWG GUID), after meeting twice in 2006, recommended the use of the Life Sciences Identifiers (LSID) to uniquely identify shared data objects in the biodiversity domain.","abbreviation":"GUID and LSID Applicability Statements","support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","type":"Mailing list"}],"year_creation":2011},"legacy_ids":["bsg-000194","bsg-s000194"],"name":"FAIRsharing record for: Globally Unique Identifier and Life Science Identifier Applicability Statement","abbreviation":"GUID and LSID Applicability Statements","url":"https://fairsharing.org/10.25504/FAIRsharing.v5xfnf","doi":"10.25504/FAIRsharing.v5xfnf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GUIDs are Globally Unique Identifiers which should be referentially consistent and resolvable in order to support tests of uniqueness and the acquisition of associated metadata. Further, permanent and robust resolution services need to be available. The TDWG Globally Unique Identifiers Task Group (TDWG GUID), after meeting twice in 2006, recommended the use of the Life Sciences Identifiers (LSID) to uniquely identify shared data objects in the biodiversity domain.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12007},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12275}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Life Science"],"domains":["Bibliography","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1589,"relation":"undefined"}],"grants":[{"id":6480,"fairsharing_record_id":942,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:02.419Z","updated_at":"2021-09-30T09:28:02.419Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6481,"fairsharing_record_id":942,"organisation_id":1167,"relation":"maintains","created_at":"2021-09-30T09:28:02.445Z","updated_at":"2021-09-30T09:28:02.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1167,"name":"Global Biodiversity Information Facility (GBIF) in Spain, Madrid, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"943","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:14:59.000Z","updated_at":"2024-03-21T13:58:12.684Z","metadata":{"doi":"10.25504/FAIRsharing.813a1k","name":"LINCS Extended Metadata Standard: Primary Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Primary_Cell_Metadata_2017.pdf","citations":[],"identifier":943,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe primary cells, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases, the cells are also associated with a disease.","abbreviation":"LINCS 2: Primary Cells","support_links":[{"url":"https://lincsproject.org/LINCS/files/Primary_Cell_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000652","bsg-s000652"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Primary Cells","abbreviation":"LINCS 2: Primary Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.813a1k","doi":"10.25504/FAIRsharing.813a1k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe primary cells, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases, the cells are also associated with a disease.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11899},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12492}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":6483,"fairsharing_record_id":943,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:02.512Z","updated_at":"2021-09-30T09:28:02.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11542,"fairsharing_record_id":943,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:12.437Z","updated_at":"2024-03-21T13:58:12.437Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"950","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T13:38:24.000Z","updated_at":"2024-03-17T16:55:51.127Z","metadata":{"doi":"10.25504/FAIRsharing.dee5fb","name":"IUPAC-IUB Commission on Biochemical Nomenclature - Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents","status":"ready","contacts":[{"contact_name":"Gerard P. Moss","contact_email":"g.p.moss@qmul.ac.uk"}],"homepage":"https://www.qmul.ac.uk/sbcs/iupac/misc/naabb.html","identifier":950,"description":"The Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents, created by the IIUPAC-IUB Commission on Biochemical Nomenclature, formalizes the naming scheme for simple nucleotides; nucleotide coenzymes and related substances; nucleic acids; and modified bases, sugars, or phosphates in polynucleotides. It also describes the 3-letter and 1-letter symbols for these substances.","abbreviation":"CBN - Nucleic acid constituents","support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iupac/jcbn/membr.html","name":"Contact Committee Members","type":"Contact form"},{"url":"https://www.qmul.ac.uk/sbcs/iupac/bibliog/white.html","name":"Biochemical Nomenclature and Related Documents","type":"Help documentation"}],"year_creation":1970},"legacy_ids":["bsg-001399","bsg-s001399"],"name":"FAIRsharing record for: IUPAC-IUB Commission on Biochemical Nomenclature - Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents","abbreviation":"CBN - Nucleic acid constituents","url":"https://fairsharing.org/10.25504/FAIRsharing.dee5fb","doi":"10.25504/FAIRsharing.dee5fb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents, created by the IIUPAC-IUB Commission on Biochemical Nomenclature, formalizes the naming scheme for simple nucleotides; nucleotide coenzymes and related substances; nucleic acids; and modified bases, sugars, or phosphates in polynucleotides. It also describes the 3-letter and 1-letter symbols for these substances.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Natural Science"],"domains":["Nucleic acid sequence","Nucleic acid","Nucleotide","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2796,"pubmed_id":null,"title":"Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents","year":2009,"url":"https://www.degruyter.com/view/j/pac.1974.40.issue-3/pac197440030277/pac197440030277.xml","authors":"IUPAC-/VB Commission on Biochemical Nomenclature","journal":"The Scientific Journal of IUPAC","doi":null,"created_at":"2021-09-30T08:27:43.780Z","updated_at":"2021-09-30T08:27:43.780Z"}],"licence_links":[],"grants":[{"id":6491,"fairsharing_record_id":950,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:28:02.825Z","updated_at":"2021-09-30T09:28:02.825Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}},{"id":9158,"fairsharing_record_id":950,"organisation_id":1533,"relation":"maintains","created_at":"2022-04-11T12:07:18.322Z","updated_at":"2022-04-11T12:07:18.322Z","grant_id":null,"is_lead":true,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"951","type":"fairsharing_records","attributes":{"created_at":"2020-09-29T13:04:32.000Z","updated_at":"2022-07-20T10:40:31.399Z","metadata":{"doi":"10.25504/FAIRsharing.cdd9bf","name":"Geographic Tagged Image File Format","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"memberadmin@ogc.org"}],"homepage":"http://www.opengis.net/doc/IS/GeoTIFF/1.1","identifier":951,"description":"The Geographic Tagged Image File Format (GeoTIFF) format is used throughout the geospatial and earth science communities to share geographic image data. GeoTIFF is based on the TIFF format and is used as an interchange format for georeferenced raster imagery. GeoTIFF defines a set of TIFF tags provided to describe all \"Cartographic\" information associated with TIFF imagery that originates from satellite imaging systems, scanned aerial photography, scanned maps, digital elevation models, or as a result of geographic analyses. The goal is to provide a consistent mechanism for referencing a raster image to a known model space or earth-based coordinate reference system and for describing those coordinate reference systems.","abbreviation":"GeoTIFF","support_links":[{"url":"https://www.ogc.org/contacts","name":"OGC Contact Form","type":"Contact form"},{"url":"http://ogc.standardstracker.org/","name":"OGC Issue Tracker","type":"Forum"},{"url":"https://earthdata.nasa.gov/esdis/eso/standards-and-references/geotiff","name":"NASA GeoTIFF Guide","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GeoTIFF","name":"GeoTIFF Wikipedia Entry","type":"Wikipedia"}],"year_creation":1995},"legacy_ids":["bsg-001531","bsg-s001531"],"name":"FAIRsharing record for: Geographic Tagged Image File Format","abbreviation":"GeoTIFF","url":"https://fairsharing.org/10.25504/FAIRsharing.cdd9bf","doi":"10.25504/FAIRsharing.cdd9bf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geographic Tagged Image File Format (GeoTIFF) format is used throughout the geospatial and earth science communities to share geographic image data. GeoTIFF is based on the TIFF format and is used as an interchange format for georeferenced raster imagery. GeoTIFF defines a set of TIFF tags provided to describe all \"Cartographic\" information associated with TIFF imagery that originates from satellite imaging systems, scanned aerial photography, scanned maps, digital elevation models, or as a result of geographic analyses. The goal is to provide a consistent mechanism for referencing a raster image to a known model space or earth-based coordinate reference system and for describing those coordinate reference systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Geodesy"],"domains":["Geographical location","Imaging","Image"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":1879,"relation":"undefined"}],"grants":[{"id":6492,"fairsharing_record_id":951,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:02.893Z","updated_at":"2021-09-30T09:28:02.893Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"939","type":"fairsharing_records","attributes":{"created_at":"2015-07-20T13:33:05.000Z","updated_at":"2022-03-16T15:17:21.157Z","metadata":{"doi":"10.25504/FAIRsharing.9hynwc","name":"FORCE 11 Data Citation Synthesis Group: Joint Declaration of Data Citation Principles","status":"ready","contacts":[{"contact_name":"FORCE11","contact_email":"info@force11.org","contact_orcid":null}],"homepage":"https://doi.org/10.25490/a97f-egyk","citations":[],"identifier":939,"description":"The FORCE11 Data Citation Principles cover purpose, function and attributes of citations. These principles recognize the dual necessity of creating citation practices that are both human understandable and machine-actionable. They are not comprehensive recommendations for data stewardship, but rather encourage communities to develop practices and tools that embody these principles. The principles are grouped so as to facilitate understanding, rather than according to any perceived criteria of importance.","abbreviation":"FORCE11 Data Citation Principles","support_links":[{"url":"https://force11.org/info/contact-us/","name":"Contact Form","type":"Contact form"},{"url":"https://twitter.com/FORCE11rescomm","name":"@FORCE11rescomm","type":"Twitter"},{"url":"https://force11.org/info/get-involved-post-content-to-force11-website/","name":"Help, Support, \u0026 Resources","type":"Help documentation"},{"url":"https://upstream.force11.org/","name":"FORCE 11 Upstream Blog","type":"Blog/News"},{"url":"https://force11.org/about/code-of-conduct/","name":"Code of conduct","type":"Other"},{"url":"force11.slack.com","name":"force11.slack.com","type":"Other"},{"url":"https://force11.org/info/terms-of-use/","name":"Terms of use","type":"Help documentation"},{"url":"https://github.com/force11","name":"FORCE 11 on GitHub","type":"Github"},{"url":"https://force11.org/info/open-licensing-and-open-source/","name":"Open Licensing \u0026 Open Source","type":"Help documentation"},{"url":"https://docs.google.com/document/d/1lmuIqTgkpMffS4-e0tdfzGt2D4l2p5tbOf3lurYaqzE/edit?usp=sharing","name":"Bylaws","type":"Other"},{"url":"softwarecitationimplementationwg@force11.org","name":"FORCE11 Software Citation Implementation WG","type":"Support email"},{"url":"https://force11.org/privacy-policy","name":"Privacy policy","type":"Other"},{"url":"https://force11.org/info/people-at-force11/","name":"Membership Information","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/FORCE11","name":"FORCE11 Wiki","type":"Wikipedia"},{"url":"https://www.facebook.com/FORCE11ResearchCommunication/","name":"FORCE11 on Facebook","type":"Facebook"},{"url":"https://www.linkedin.com/company/force11rescomm","name":"FORCE11 on LinkedIn","type":"Other"},{"url":"https://www.youtube.com/channel/UCeoSUmlntunLJU29ODPzx6g","name":"YouTube Channel","type":"Video"}],"year_creation":2011,"cross_references":[{"url":"https://scicrunch.org/resolver/RRID:SCR_005334","name":"RRID:SCR_005334","portal":"SciCrunch"}]},"legacy_ids":["bsg-000603","bsg-s000603"],"name":"FAIRsharing record for: FORCE 11 Data Citation Synthesis Group: Joint Declaration of Data Citation Principles","abbreviation":"FORCE11 Data Citation Principles","url":"https://fairsharing.org/10.25504/FAIRsharing.9hynwc","doi":"10.25504/FAIRsharing.9hynwc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FORCE11 Data Citation Principles cover purpose, function and attributes of citations. These principles recognize the dual necessity of creating citation practices that are both human understandable and machine-actionable. They are not comprehensive recommendations for data stewardship, but rather encourage communities to develop practices and tools that embody these principles. The principles are grouped so as to facilitate understanding, rather than according to any perceived criteria of importance.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12051}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Subject Agnostic"],"domains":["Citation"],"taxonomies":["All"],"user_defined_tags":["digital research data"],"countries":["Worldwide"],"publications":[{"id":3258,"pubmed_id":null,"title":"Software citation principles","year":2016,"url":"http://dx.doi.org/10.7717/peerj-cs.86","authors":"Smith, Arfon M.; Katz, Daniel S.; Niemeyer, Kyle E.","journal":"PeerJ Computer Science","doi":"10.7717/peerj-cs.86","created_at":"2022-03-16T05:52:05.165Z","updated_at":"2022-03-16T05:57:59.322Z"},{"id":3260,"pubmed_id":null,"title":"Social infrastructures in research communication: a personal view of the FORCE11 story","year":2018,"url":"http://dx.doi.org/10.1629/uksg.404","authors":"Neylon, Cameron; ","journal":"Insights the UKSG journal","doi":"10.1629/uksg.404","created_at":"2022-03-16T06:51:14.696Z","updated_at":"2022-03-16T06:51:14.696Z"},{"id":3261,"pubmed_id":null,"title":"Achieving human and machine accessibility of cited data in scholarly publications","year":2015,"url":"http://dx.doi.org/10.7717/peerj-cs.1","authors":"Starr, Joan; Castro, Eleni; Crosas, Mercè; Dumontier, Michel; Downs, Robert R.; Duerr, Ruth; Haak, Laurel L.; Haendel, Melissa; Herman, Ivan; Hodson, Simon; Hourclé, Joe; Kratz, John Ernest; Lin, Jennifer; Nielsen, Lars Holm; Nurnberger, Amy; Proell, Stefan; Rauber, Andreas; Sacchi, Simone; Smith, Arthur; Taylor, Mike; Clark, Tim; ","journal":"PeerJ Computer Science","doi":"10.7717/peerj-cs.1","created_at":"2022-03-16T06:53:55.732Z","updated_at":"2022-03-16T06:53:55.732Z"},{"id":3262,"pubmed_id":null,"title":"Force11 White Paper: Improving The Future of Research Communications and e-Scholarship","year":2011,"url":"https://docs.google.com/viewer?a=v\u0026pid=sites\u0026srcid=ZGVmYXVsdGRvbWFpbnxmdXR1cmVvZnJlc2VhcmNoY29tbXVuaWNhdGlvbnN8Z3g6M2FhNTMyOWRiZjk5NGFmNg","authors":"Editors: Phil Bourne, UCSD; Tim Clark, Harvard/MGH; Robert Dale, Macquarie University; Anita de Waard, Elsevier Labs; Ivan Herman, W3C; Eduard Hovy, ISI/USC; David Shotton, Oxford University","journal":"https://force11.org/info/force11-manifesto/","doi":"","created_at":"2022-03-16T06:57:21.953Z","updated_at":"2022-03-16T06:57:21.953Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2627,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2626,"relation":"applies_to_content"}],"grants":[{"id":6478,"fairsharing_record_id":939,"organisation_id":1086,"relation":"maintains","created_at":"2021-09-30T09:28:02.363Z","updated_at":"2022-03-16T15:16:53.713Z","grant_id":null,"is_lead":true,"saved_state":{"id":1086,"name":"Future of Research Communications and e-Scholarship (FORCE11), Ja Lolla, CA, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBhQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ea965cae05ee58530a692df08eec7e298445a574/force11-logotype-horizontal.png?disposition=inline","exhaustive_licences":false}},{"id":"940","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T13:27:01.000Z","updated_at":"2021-11-24T13:13:26.546Z","metadata":{"doi":"10.25504/FAIRsharing.3e194c","name":"Terse RDF Triple Language","status":"ready","contacts":[{"contact_name":"Dave Beckett","contact_email":"dave@dajobe.org"}],"homepage":"http://www.w3.org/TR/turtle/","identifier":940,"description":"Turtle is a format which outlines the serialisation of Resource description framework (RDF). Turtle is a textual syntax for RDF that allows an RDF graph to be completely written in a compact and natural text form, with abbreviations for common usage patterns and datatypes. Turtle provides levels of compatibility with the N-Triples format as well as the triple pattern syntax of the SPARQL W3C Recommendation.","abbreviation":"Turtle","support_links":[{"url":"public-rdf-comments@w3.org","name":"Working Group Contact","type":"Support email"}],"year_creation":2011},"legacy_ids":["bsg-001282","bsg-s001282"],"name":"FAIRsharing record for: Terse RDF Triple Language","abbreviation":"Turtle","url":"https://fairsharing.org/10.25504/FAIRsharing.3e194c","doi":"10.25504/FAIRsharing.3e194c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Turtle is a format which outlines the serialisation of Resource description framework (RDF). Turtle is a textual syntax for RDF that allows an RDF graph to be completely written in a compact and natural text form, with abbreviations for common usage patterns and datatypes. Turtle provides levels of compatibility with the N-Triples format as well as the triple pattern syntax of the SPARQL W3C Recommendation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1385,"relation":"undefined"}],"grants":[{"id":6479,"fairsharing_record_id":940,"organisation_id":3206,"relation":"maintains","created_at":"2021-09-30T09:28:02.395Z","updated_at":"2021-09-30T09:28:02.395Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"931","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-27T15:59:26.929Z","metadata":{"doi":"10.25504/FAIRsharing.gr06tm","name":"CONSOlidated standards of Reporting Trials","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/consort/","citations":[],"identifier":931,"description":"CONSORT encompasses various initiatives developed by the CONSORT Group to alleviate the problems arising from inadequate reporting of randomized controlled trials (RCTs). The 2010 guideline is intended to improve the reporting of parallel-group randomized controlled trial (RCT), enabling readers to understand a trial's design, conduct, analysis and interpretation, and to assess the validity of its results. This can only be achieved through complete adherence and transparency by authors. CONSORT 2010 was developed through collaboration and consensus between clinical trial methodologists, guideline developers, knowledge translation specialists, and journal editors (see CONSORT group ). CONSORT 2010 is the current version of the guideline and supersedes the 2001 and 1996 versions . It contains a 25-item checklist and flow diagram.","abbreviation":"CONSORT","support_links":[{"url":"https://www.youtube.com/user/CONSORTStatement","name":"Youtube","type":"Video"},{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"http://www.consort-statement.org/examples","type":"Help documentation"},{"url":"http://www.consort-statement.org/download/Media/Default/Downloads/CONSORT%202010%20Checklist.doc","type":"Help documentation"},{"url":"https://twitter.com/CONSORTing","type":"Twitter"}],"year_creation":2003},"legacy_ids":["bsg-000141","bsg-s000141"],"name":"FAIRsharing record for: CONSOlidated standards of Reporting Trials","abbreviation":"CONSORT","url":"https://fairsharing.org/10.25504/FAIRsharing.gr06tm","doi":"10.25504/FAIRsharing.gr06tm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CONSORT encompasses various initiatives developed by the CONSORT Group to alleviate the problems arising from inadequate reporting of randomized controlled trials (RCTs). The 2010 guideline is intended to improve the reporting of parallel-group randomized controlled trial (RCT), enabling readers to understand a trial's design, conduct, analysis and interpretation, and to assess the validity of its results. This can only be achieved through complete adherence and transparency by authors. CONSORT 2010 was developed through collaboration and consensus between clinical trial methodologists, guideline developers, knowledge translation specialists, and journal editors (see CONSORT group ). CONSORT 2010 is the current version of the guideline and supersedes the 2001 and 1996 versions . It contains a 25-item checklist and flow diagram.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11955},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12415},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16934}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Data acquisition"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":13,"pubmed_id":20352064,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1371/journal.pmed.1000251","authors":"Schulz KF, Altman DG, Moher D; CONSORT Group.","journal":"PLoS Med.","doi":"10.1371/journal.pmed.1000251","created_at":"2021-09-30T08:22:21.895Z","updated_at":"2021-09-30T08:22:21.895Z"},{"id":802,"pubmed_id":20334632,"title":"CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1186/1745-6215-11-32","authors":"Schulz KF,Altman DG,Moher D","journal":"Trials","doi":"10.1186/1745-6215-11-32","created_at":"2021-09-30T08:23:48.462Z","updated_at":"2021-09-30T08:23:48.462Z"},{"id":824,"pubmed_id":20410783,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomized trials.","year":2010,"url":"http://doi.org/10.1097/AOG.0b013e3181d9d421","authors":"Schulz KF,Altman DG,Moher D","journal":"Obstet Gynecol","doi":"10.1097/AOG.0b013e3181d9d421","created_at":"2021-09-30T08:23:50.839Z","updated_at":"2021-09-30T08:23:50.839Z"},{"id":2397,"pubmed_id":20346629,"title":"CONSORT 2010 Statement: Updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1016/j.jclinepi.2010.02.005","authors":"Schulz KF,Altman DG,Moher D","journal":"J Clin Epidemiol","doi":"10.1016/j.jclinepi.2010.02.005","created_at":"2021-09-30T08:26:54.352Z","updated_at":"2021-09-30T08:26:54.352Z"},{"id":2398,"pubmed_id":20332509,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1136/bmj.c332","authors":"Schulz KF,Altman DG,Moher D","journal":"BMJ","doi":"10.1136/bmj.c332","created_at":"2021-09-30T08:26:54.453Z","updated_at":"2021-09-30T08:26:54.453Z"},{"id":2818,"pubmed_id":20334633,"title":"CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1186/1741-7015-8-18","authors":"Schulz KF,Altman DG,Moher D","journal":"BMC Med","doi":"10.1186/1741-7015-8-18","created_at":"2021-09-30T08:27:46.563Z","updated_at":"2021-09-30T08:27:46.563Z"},{"id":2828,"pubmed_id":20335313,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomized trials.","year":2010,"url":"http://doi.org/10.7326/0003-4819-152-11-201006010-00232","authors":"Schulz KF,Altman DG,Moher D","journal":"Ann Intern Med","doi":"10.7326/0003-4819-152-11-201006010-00232","created_at":"2021-09-30T08:27:47.881Z","updated_at":"2021-09-30T08:27:47.881Z"},{"id":2829,"pubmed_id":20332511,"title":"CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1136/bmj.c869","authors":"Moher D,Hopewell S,Schulz KF,Montori V,Gotzsche PC,Devereaux PJ,Elbourne D,Egger M,Altman DG","journal":"BMJ","doi":"10.1136/bmj.c869","created_at":"2021-09-30T08:27:47.998Z","updated_at":"2021-09-30T08:27:47.998Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":1377,"relation":"undefined"}],"grants":[{"id":6460,"fairsharing_record_id":931,"organisation_id":996,"relation":"funds","created_at":"2021-09-30T09:28:01.691Z","updated_at":"2021-09-30T09:28:01.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":996,"name":"Family Hearth International (FHI 360), Durham, NC, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6458,"fairsharing_record_id":931,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:28:01.635Z","updated_at":"2021-09-30T09:28:01.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6459,"fairsharing_record_id":931,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:01.660Z","updated_at":"2021-09-30T09:28:01.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6462,"fairsharing_record_id":931,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:28:01.820Z","updated_at":"2021-09-30T09:28:01.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11396,"fairsharing_record_id":931,"organisation_id":2280,"relation":"funds","created_at":"2024-02-20T11:26:16.556Z","updated_at":"2024-02-20T11:26:16.556Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"988","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:50.565Z","metadata":{"doi":"10.25504/FAIRsharing.ap169a","name":"Minimal Information Required In the Annotation of Models","status":"ready","contacts":[{"contact_name":"Nicolas Le Novère","contact_email":"n.lenovere@gmail.com","contact_orcid":"0000-0002-6309-7327"}],"homepage":"http://co.mbine.org/standards/miriam","citations":[{"doi":"10.1038/nbt1156","pubmed_id":16333295,"publication_id":2410}],"identifier":988,"description":"The Minimal Information Required In the Annotation of Models (MIRIAM), initiated by the BioModels.net effort, is a set of guidelines for the consistent annotation and curation of computational models in biology. It is suitable for use with any structured format for computational models.","abbreviation":"MIRIAM","year_creation":2005},"legacy_ids":["bsg-000178","bsg-s000178"],"name":"FAIRsharing record for: Minimal Information Required In the Annotation of Models","abbreviation":"MIRIAM","url":"https://fairsharing.org/10.25504/FAIRsharing.ap169a","doi":"10.25504/FAIRsharing.ap169a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimal Information Required In the Annotation of Models (MIRIAM), initiated by the BioModels.net effort, is a set of guidelines for the consistent annotation and curation of computational models in biology. It is suitable for use with any structured format for computational models.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11159},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11590},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11715},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11993},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12212},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16937}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Life Science","Biomedical Science"],"domains":["Mathematical model","Annotation","Chemical entity","Modeling and simulation","Enzymatic reaction","Protein","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":362,"pubmed_id":18078503,"title":"MIRIAM Resources: tools to generate and resolve robust cross-references in Systems Biology.","year":2007,"url":"http://doi.org/10.1186/1752-0509-1-58","authors":"Laibe C., Le Novere N.,","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-1-58","created_at":"2021-09-30T08:22:58.900Z","updated_at":"2021-09-30T08:22:58.900Z"},{"id":1282,"pubmed_id":22140103,"title":"Identifiers.org and MIRIAM Registry: community resources to provide persistent identification.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1097","authors":"Juty N,Le Novere N,Laibe C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1097","created_at":"2021-09-30T08:24:43.090Z","updated_at":"2021-09-30T11:29:05.368Z"},{"id":2410,"pubmed_id":16333295,"title":"Minimum information requested in the annotation of biochemical models (MIRIAM).","year":2005,"url":"http://doi.org/10.1038/nbt1156","authors":"Nicolas Le Novère, Andrew Finney, Michael Hucka, Upinder S Bhalla, Fabien Campagne, Julio Collado-Vides, Edmund J Crampin, Matt Halstead, Edda Klipp, Pedro Mendes, Poul Nielsen, Herbert Sauro, Bruce Shapiro, Jacky L Snoep, Hugh D Spence, Barry L Wanner","journal":"Nat. Biotechnol.","doi":"10.1038/nbt1156","created_at":"2021-09-30T08:26:55.786Z","updated_at":"2021-09-30T08:26:55.786Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":22,"relation":"undefined"}],"grants":[{"id":6555,"fairsharing_record_id":988,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:05.382Z","updated_at":"2021-09-30T09:28:05.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6558,"fairsharing_record_id":988,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:05.479Z","updated_at":"2021-09-30T09:29:46.586Z","grant_id":397,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E005748/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8178,"fairsharing_record_id":988,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:21.338Z","updated_at":"2021-09-30T09:31:21.392Z","grant_id":1132,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"JPA 1729","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6556,"fairsharing_record_id":988,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:05.407Z","updated_at":"2021-09-30T09:28:05.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6557,"fairsharing_record_id":988,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:05.437Z","updated_at":"2021-09-30T09:28:05.437Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"989","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:50.751Z","metadata":{"doi":"10.25504/FAIRsharing.dcsw6j","name":"Common Terminology Criteria for Adverse Events","status":"ready","contacts":[{"contact_name":"CTCAE Help","contact_email":"ncictcaehelp@mail.nih.gov"}],"homepage":"http://ctep.cancer.gov/protocolDevelopment/electronic_applications/ctc.htm","citations":[],"identifier":989,"description":"A coding system for reporting adverse events that occur in the course of cancer therapy. It was derived from the Common Toxicity Criteria (CTC) v2.0 and is maintained by the Cancer Therapy Evaluation Program (CTEP) at the National Cancer Institution (NCI).","abbreviation":"CTCAE","support_links":[{"url":"NCICTCAEComments@mail.nih.gov","type":"Support email"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTCAE","name":"CTCAE","portal":"BioPortal"}]},"legacy_ids":["bsg-002644","bsg-s002644"],"name":"FAIRsharing record for: Common Terminology Criteria for Adverse Events","abbreviation":"CTCAE","url":"https://fairsharing.org/10.25504/FAIRsharing.dcsw6j","doi":"10.25504/FAIRsharing.dcsw6j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A coding system for reporting adverse events that occur in the course of cancer therapy. It was derived from the Common Toxicity Criteria (CTC) v2.0 and is maintained by the Cancer Therapy Evaluation Program (CTEP) at the National Cancer Institution (NCI).","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16654}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Cancer","Disease"],"taxonomies":["Homo sapiens","Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1960,"pubmed_id":19379294,"title":"Veterinary Co-operative Oncology Group - Common Terminology Criteria for Adverse Events (VCOG-CTCAE) following chemotherapy or biological antineoplastic therapy in dogs and cats v1.0.","year":2004,"url":"http://doi.org/10.1111/j.1476-5810.2004.0053b.x","authors":"Veterinary Co-operative Oncology Group (VCOG)","journal":"Vet Comp Oncol","doi":"10.1111/j.1476-5810.2004.0053b.x","created_at":"2021-09-30T08:26:00.557Z","updated_at":"2021-09-30T08:26:00.557Z"}],"licence_links":[],"grants":[{"id":9471,"fairsharing_record_id":989,"organisation_id":1954,"relation":"maintains","created_at":"2022-04-28T15:30:23.312Z","updated_at":"2022-04-28T15:30:23.312Z","grant_id":null,"is_lead":true,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"990","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:17:10.453Z","metadata":{"doi":"10.25504/FAIRsharing.hbh5mk","name":"Human Physiome Field Markup Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"contact@physiomeproject.org"}],"homepage":"http://physiomeproject.org/software/fieldml","citations":[{"doi":"10.1007/s11517-013-1097-7","pubmed_id":23900627,"publication_id":691}],"identifier":990,"description":"FieldML is a declarative language for building hierarchical models represented by generalized mathematical fields. FieldML is developed as a data model and accompanying API. FieldML can be used to represent the dynamic 3D geometry and solution fields from computational models of cells, tissues and organs. It enables model interchange for the bioengineering and general engineering analysis communities. Example uses are models of tissue structure, the distribution of proteins and other biochemical compounds, anatomical annotation, and other biological annotation.","abbreviation":"FieldML","support_links":[{"url":"contact@physiomeproject.org","name":"General Contact","type":"Support email"},{"url":"https://tracker.physiomeproject.org/","name":"Physiome Project Tracker","type":"Forum"},{"url":"fieldml-developers@lists.sourceforge.net","name":"Developers' Mailing List","type":"Mailing list"},{"url":"https://github.com/FieldML/FieldML-API","name":"API Documentation","type":"Github"},{"url":"http://physiomeproject.org/software/fieldml/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/physiomeproject","name":"@physiomeproject","type":"Twitter"}],"year_creation":1997},"legacy_ids":["bsg-000568","bsg-s000568"],"name":"FAIRsharing record for: Human Physiome Field Markup Language","abbreviation":"FieldML","url":"https://fairsharing.org/10.25504/FAIRsharing.hbh5mk","doi":"10.25504/FAIRsharing.hbh5mk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FieldML is a declarative language for building hierarchical models represented by generalized mathematical fields. FieldML is developed as a data model and accompanying API. FieldML can be used to represent the dynamic 3D geometry and solution fields from computational models of cells, tissues and organs. It enables model interchange for the bioengineering and general engineering analysis communities. Example uses are models of tissue structure, the distribution of proteins and other biochemical compounds, anatomical annotation, and other biological annotation.","linked_records":[],"linking_records":[{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11881},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12060},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12219},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16947}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Anatomy","Physiology","Biomedical Science","Bioengineering","Systems Biology"],"domains":["Modeling and simulation","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":691,"pubmed_id":23900627,"title":"FieldML, a proposed open standard for the Physiome project for mathematical model representation.","year":2013,"url":"http://doi.org/10.1007/s11517-013-1097-7","authors":"Britten RD, Christie GR, Little C, Miller AK, Bradley C, Wu A, Yu T, Hunter P, Nielsen P.","journal":"Med Biol Eng Comput","doi":"10.1007/s11517-013-1097-7","created_at":"2021-09-30T08:23:36.161Z","updated_at":"2021-09-30T08:23:36.161Z"},{"id":696,"pubmed_id":19380316,"title":"FieldML: concepts and implementation","year":2009,"url":"http://doi.org/10.1098/rsta.2009.0025","authors":"Christie GR, Nielsen PM, Blackett SA, Bradley CP, Hunter PJ.","journal":"Philos Trans A Math Phys Eng Sci.","doi":"10.1098/rsta.2009.0025","created_at":"2021-09-30T08:23:36.711Z","updated_at":"2021-09-30T08:23:36.711Z"}],"licence_links":[{"licence_name":"Physiome Project Open Source Policy","licence_id":666,"licence_url":"http://physiomeproject.org/about/open-source-policy","link_id":116,"relation":"undefined"}],"grants":[{"id":6560,"fairsharing_record_id":990,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:05.580Z","updated_at":"2021-09-30T09:30:47.691Z","grant_id":874,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"224495","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6561,"fairsharing_record_id":990,"organisation_id":1536,"relation":"maintains","created_at":"2021-09-30T09:28:05.622Z","updated_at":"2021-09-30T09:28:05.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":1536,"name":"International Union of Physiological Sciences (IUPS)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6562,"fairsharing_record_id":990,"organisation_id":1311,"relation":"maintains","created_at":"2021-09-30T09:28:05.649Z","updated_at":"2021-09-30T09:28:05.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1311,"name":"IEEE Engineering in Medicine and Biology Society (EMBS), Piscataway, NJ, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"991","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T20:07:58.000Z","updated_at":"2023-11-07T17:28:23.817Z","metadata":{"doi":"10.25504/FAIRsharing.riJmuf","name":"NISO Metadata for Images in XML Schema","status":"ready","contacts":[{"contact_name":"Oya Y. Rieger","contact_email":"oyr1@cornell.edu"}],"homepage":"https://www.loc.gov/standards/mix/","citations":[],"identifier":991,"description":"The XML-based schema for encoding the NISO Data Dictionary - Technical Metadata for Digital Still Images (ANSI/NISO Z39.87-2006).","abbreviation":"NISO MIX","support_links":[{"url":"mix@loc.gov","name":"MIX Listserv","type":"Mailing list"},{"url":"https://www.niso.org/publications/ansiniso-z3987-2006-r2017-data-dictionary-technical-metadata-digital-still-images","name":"ANSI/NISO Z39.87-2006 (R2017)","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-001255","bsg-s001255"],"name":"FAIRsharing record for: NISO Metadata for Images in XML Schema","abbreviation":"NISO MIX","url":"https://fairsharing.org/10.25504/FAIRsharing.riJmuf","doi":"10.25504/FAIRsharing.riJmuf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The XML-based schema for encoding the NISO Data Dictionary - Technical Metadata for Digital Still Images (ANSI/NISO Z39.87-2006).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Image","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6563,"fairsharing_record_id":991,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:05.679Z","updated_at":"2021-09-30T09:28:05.679Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"992","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T22:40:00.000Z","updated_at":"2023-09-29T11:54:59.624Z","metadata":{"doi":"10.25504/FAIRsharing.265943","name":"Language resource management -- Morpho-syntactic annotation framework (MAF)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/51934.html","citations":[],"identifier":992,"description":"ISO 24611:2012 provides a framework for the representation of annotations of word-forms in texts; such annotations concern tokens, their relationship with lexical units, and their morpho-syntactic properties.It describes a metamodel for morpho-syntactic annotation that relates to a reference to the data categories contained in the ISOCat data category registry (DCR, as defined in ISO 12620). It also describes an XML serialization for morpho-syntactic annotations, with equivalences to the guidelines of the TEI (text encoding initiative).","abbreviation":"ISO 24611:2012","support_links":[{"url":"https://www.iso.org/contents/data/standard/05/19/51934.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001251","bsg-s001251"],"name":"FAIRsharing record for: Language resource management -- Morpho-syntactic annotation framework (MAF)","abbreviation":"ISO 24611:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.265943","doi":"10.25504/FAIRsharing.265943","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24611:2012 provides a framework for the representation of annotations of word-forms in texts; such annotations concern tokens, their relationship with lexical units, and their morpho-syntactic properties.It describes a metamodel for morpho-syntactic annotation that relates to a reference to the data categories contained in the ISOCat data category registry (DCR, as defined in ISO 12620). It also describes an XML serialization for morpho-syntactic annotations, with equivalences to the guidelines of the TEI (text encoding initiative).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":813,"relation":"undefined"}],"grants":[{"id":6564,"fairsharing_record_id":992,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:05.721Z","updated_at":"2021-09-30T09:28:05.721Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10930,"fairsharing_record_id":992,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:21:36.344Z","updated_at":"2023-09-27T14:21:36.344Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"974","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:02:58.897Z","metadata":{"doi":"10.25504/FAIRsharing.jcg19w","name":"Kinetic Simulation Algorithm Ontology","status":"ready","contacts":[{"contact_name":"Nicolas Le Novère","contact_email":"lenov@ebi.ac.uk","contact_orcid":"0000-0002-6309-7327"}],"homepage":"http://co.mbine.org/standards/kisao","citations":[],"identifier":974,"description":"The Kinetic Simulation Algorithm Ontology aims at providing support in unambiguously referring to simulation algorithms when describing a simulation experiment. It describes and classifies existing algorithms and their inter-relationships through the algorithm characteristics and parameters.","abbreviation":"KiSAO","support_links":[{"url":"https://sourceforge.net/p/kisao/feature-requests/new/","name":"Submit a ticket","type":"Contact form"},{"url":"biomodels-net-support@lists.sf.net","name":"Mailing List","type":"Mailing list"}],"year_creation":2015,"associated_tools":[{"url":"http://co.mbine.org/standards/kisao/libkisao","name":"libKiSAO"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/KISAO","name":"KISAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/kisao.html","name":"kisao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002642","bsg-s002642"],"name":"FAIRsharing record for: Kinetic Simulation Algorithm Ontology","abbreviation":"KiSAO","url":"https://fairsharing.org/10.25504/FAIRsharing.jcg19w","doi":"10.25504/FAIRsharing.jcg19w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Kinetic Simulation Algorithm Ontology aims at providing support in unambiguously referring to simulation algorithms when describing a simulation experiment. It describes and classifies existing algorithms and their inter-relationships through the algorithm characteristics and parameters.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11184},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12095},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12230},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16949}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Computer Science"],"domains":["Kinetic model","Modeling and simulation","Algorithm"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":22,"pubmed_id":22027554,"title":"Controlled vocabularies and semantics in systems biology.","year":2011,"url":"http://doi.org/10.1038/msb.2011.77","authors":"Courtot M,Juty N,Knupfer C et al.","journal":"Mol Syst Biol","doi":"10.1038/msb.2011.77","created_at":"2021-09-30T08:22:22.740Z","updated_at":"2021-09-30T08:22:22.740Z"}],"licence_links":[{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":2192,"relation":"undefined"}],"grants":[{"id":6532,"fairsharing_record_id":974,"organisation_id":1636,"relation":"maintains","created_at":"2021-09-30T09:28:04.564Z","updated_at":"2021-09-30T09:28:04.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1636,"name":"Kinetic Simulation Algorithm Ontology (KiSAO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"975","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.642Z","metadata":{"doi":"10.25504/FAIRsharing.3ychgy","name":"Immune Disorder Ontology","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"RScheuermann@jcvi.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/3127","identifier":975,"description":"The Immune Disorder Ontology was generated as part of the Bioinformatics Integration Support Contract (BISC) funded by the Division of Allergy, Immunology and Transplantation (DAIT) within NIAID. The ontology is based on the National Library of Medicine (NLM) Medical Subject Headings; National Cancer Institute Thesaurus; International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM); ICD-10; and other open source public databases.","abbreviation":"ImmDis","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IMMDIS","name":"IMMDIS","portal":"BioPortal"}],"deprecation_date":"2016-11-22","deprecation_reason":"Contact with one of the creators of this ontology, Richard Scheuermann, revealed that this ontology was developed as part of the BISC/ImmPort project and is no longer in use."},"legacy_ids":["bsg-002836","bsg-s002836"],"name":"FAIRsharing record for: Immune Disorder Ontology","abbreviation":"ImmDis","url":"https://fairsharing.org/10.25504/FAIRsharing.3ychgy","doi":"10.25504/FAIRsharing.3ychgy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Immune Disorder Ontology was generated as part of the Bioinformatics Integration Support Contract (BISC) funded by the Division of Allergy, Immunology and Transplantation (DAIT) within NIAID. The ontology is based on the National Library of Medicine (NLM) Medical Subject Headings; National Cancer Institute Thesaurus; International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM); ICD-10; and other open source public databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunology","Biomedical Science"],"domains":["Disease","Immune system"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6533,"fairsharing_record_id":975,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:04.588Z","updated_at":"2021-09-30T09:28:04.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"976","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T08:56:25.000Z","updated_at":"2022-12-13T10:25:25.674Z","metadata":{"doi":"10.25504/FAIRsharing.44plg5","name":"VOSpace Service Specification","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOSpace/","citations":[{"publication_id":2951}],"identifier":976,"description":"VOSpace is the IVOA interface to distributed storage. This specification presents the second RESTful version of the interface. It specifies how VO agents and applications can use network attached data stores to persist and exchange data in a standard way.","abbreviation":"VOSpace","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOSpaceHome","name":"VOSpace Wiki","type":"Help documentation"},{"url":"http://ivoa.net/documents/VOSpace/20170924/PR-VOSpace-2.1-20170924.html","name":"View Standard","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001191","bsg-s001191"],"name":"FAIRsharing record for: VOSpace Service Specification","abbreviation":"VOSpace","url":"https://fairsharing.org/10.25504/FAIRsharing.44plg5","doi":"10.25504/FAIRsharing.44plg5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOSpace is the IVOA interface to distributed storage. This specification presents the second RESTful version of the interface. It specifies how VO agents and applications can use network attached data stores to persist and exchange data in a standard way.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11457}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2951,"pubmed_id":null,"title":"VOSpace Version 2.1","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0621G","authors":"Graham, Matthew; Major, Brian; Morris, Dave; Rixon, Guy; Dowler, Pat; Schaaff, André; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.702Z","updated_at":"2021-09-30T08:28:03.702Z"}],"licence_links":[],"grants":[{"id":6534,"fairsharing_record_id":976,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:04.615Z","updated_at":"2021-09-30T09:28:04.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6535,"fairsharing_record_id":976,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:04.703Z","updated_at":"2021-09-30T09:28:04.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"977","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.698Z","metadata":{"doi":"10.25504/FAIRsharing.fsk662","name":"Host Pathogen Interactions Ontology","status":"ready","contacts":[{"contact_name":"Ina Hulsegge","contact_email":"ina.hulsegge@wur.nl","contact_orcid":"0000-0002-7015-6540"}],"homepage":"http://bioportal.bioontology.org/ontologies/HPIO","identifier":977,"description":"Ontology for host pathogen interactions in farmed animals.","abbreviation":"HPIO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HPIO","name":"HPIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002702","bsg-s002702"],"name":"FAIRsharing record for: Host Pathogen Interactions Ontology","abbreviation":"HPIO","url":"https://fairsharing.org/10.25504/FAIRsharing.fsk662","doi":"10.25504/FAIRsharing.fsk662","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for host pathogen interactions in farmed animals.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16956}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Animal research","Pathogen"],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":1016,"pubmed_id":22228038,"title":"Contributions to an animal trait ontology.","year":2012,"url":"http://doi.org/10.2527/jas.2011-4251","authors":"Hulsegge B, Smits MA, te Pas MF, Woelders H","journal":"J Anim Sci","doi":"10.2527/jas.2011-4251","created_at":"2021-09-30T08:24:12.480Z","updated_at":"2021-09-30T08:24:12.480Z"}],"licence_links":[],"grants":[{"id":6536,"fairsharing_record_id":977,"organisation_id":3215,"relation":"maintains","created_at":"2021-09-30T09:28:04.741Z","updated_at":"2021-09-30T09:28:04.741Z","grant_id":null,"is_lead":false,"saved_state":{"id":3215,"name":"Wageningen University and Research, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"978","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.757Z","metadata":{"doi":"10.25504/FAIRsharing.xg0685","name":"Diagnostic Ontology","status":"ready","contacts":[{"contact_name":"Amrapali Zaveri","contact_email":"amrapali.j.zaveri@gmail.com","contact_orcid":"0000-0003-3239-4588"}],"homepage":"http://bioportal.bioontology.org/ontologies/3013","identifier":978,"description":"The Diagnostic Ontology is a computational diagnostic ontology containing 91 elements, including classes and sub-classes, which are required to conduct Systematic Reviews - Meta Analysis (SR-MA) for diagnostic studies, which will assist in standardized reporting of diagnostic articles. SR-MA are studies that aggregate several studies to come to one conclusion for a particular research question.","abbreviation":null,"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DIAGONT","name":"DIAGONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002787","bsg-s002787"],"name":"FAIRsharing record for: Diagnostic Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xg0685","doi":"10.25504/FAIRsharing.xg0685","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Diagnostic Ontology is a computational diagnostic ontology containing 91 elements, including classes and sub-classes, which are required to conduct Systematic Reviews - Meta Analysis (SR-MA) for diagnostic studies, which will assist in standardized reporting of diagnostic articles. SR-MA are studies that aggregate several studies to come to one conclusion for a particular research question.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12502}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Systematic review","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Singapore","United States"],"publications":[{"id":1795,"pubmed_id":22629329,"title":"Center of excellence in research reporting in neurosurgery--diagnostic ontology.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0036759","authors":"Zaveri A,Shah J,Pradhan S,Rodrigues C,Barros J,Ang BT,Pietrobon R","journal":"PLoS One","doi":"10.1371/journal.pone.0036759","created_at":"2021-09-30T08:25:41.544Z","updated_at":"2021-09-30T08:25:41.544Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1601,"relation":"undefined"}],"grants":[{"id":6537,"fairsharing_record_id":978,"organisation_id":2054,"relation":"maintains","created_at":"2021-09-30T09:28:04.774Z","updated_at":"2021-09-30T09:28:04.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":2054,"name":"National Neuroscience Institute (NNI), Singapore, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"979","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T18:55:28.000Z","updated_at":"2023-09-29T11:55:01.756Z","metadata":{"doi":"10.25504/FAIRsharing.d3400a","name":"Management of terminology resources -- TermBase eXchange (TBX)","status":"ready","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/62510.html","citations":[],"identifier":979,"description":"Management of terminology resources -- TermBase eXchange (TBX) (ISO 30042:2019) explains fundamental concepts and describes the metamodel, data categories, and XML styles: DCA (Data Category as Attribute) and DCT (Data Category as Tag). It also specifies the methodology for defining TBX dialects. The audience for this document is anyone wishing to create a new dialect compliant with TBX. This document can also be used to analyze and to understand a terminological data collection or to design a new terminology database that complies with international standards and best practices. Typical users are programmers, software developers, terminologists, analysts, and other language professionals. Intended application areas include translation and authoring. The TBX-Core dialect is described in detail in this document. All other industry-supported dialects are out of the scope of this document.","abbreviation":"ISO 30042:2019","support_links":[{"url":"https://www.iso.org/standard/45797.html","name":"Information on the superceded ISO 30042:2008","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001274","bsg-s001274"],"name":"FAIRsharing record for: Management of terminology resources -- TermBase eXchange (TBX)","abbreviation":"ISO 30042:2019","url":"https://fairsharing.org/10.25504/FAIRsharing.d3400a","doi":"10.25504/FAIRsharing.d3400a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Management of terminology resources -- TermBase eXchange (TBX) (ISO 30042:2019) explains fundamental concepts and describes the metamodel, data categories, and XML styles: DCA (Data Category as Attribute) and DCT (Data Category as Tag). It also specifies the methodology for defining TBX dialects. The audience for this document is anyone wishing to create a new dialect compliant with TBX. This document can also be used to analyze and to understand a terminological data collection or to design a new terminology database that complies with international standards and best practices. Typical users are programmers, software developers, terminologists, analysts, and other language professionals. Intended application areas include translation and authoring. The TBX-Core dialect is described in detail in this document. All other industry-supported dialects are out of the scope of this document.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":146,"relation":"undefined"}],"grants":[{"id":6538,"fairsharing_record_id":979,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:04.807Z","updated_at":"2021-09-30T09:28:04.807Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10940,"fairsharing_record_id":979,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:49:01.800Z","updated_at":"2023-09-27T14:49:01.800Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"962","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.582Z","metadata":{"doi":"10.25504/FAIRsharing.pjqe4x","name":"Graphics Interchange Format","status":"ready","homepage":"http://www.w3.org/Graphics/GIF/spec-gif87.txt","identifier":962,"description":"Graphics Interchange Format (GIF) is a standard for defining generalized color raster images. This format allows high-quality, high-resolution graphics to be displayed on a variety of graphics hardware and is intended as an exchange and display mechanism for graphics images. The format supports up to 8 bits per pixel for each image, allowing a single image to reference its own palette of up to 256 different colors chosen from the 24-bit RGB color space. It also supports animations and allows a separate palette of up to 256 colors for each frame. These palette limitations make the GIF format less suitable for reproducing color photographs and other images with continuous color, but it is well-suited for simpler images such as graphics or logos with solid areas of color.","abbreviation":"GIF","support_links":[{"url":"https://en.wikipedia.org/wiki/GIF","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":1987},"legacy_ids":["bsg-000236","bsg-s000236"],"name":"FAIRsharing record for: Graphics Interchange Format","abbreviation":"GIF","url":"https://fairsharing.org/10.25504/FAIRsharing.pjqe4x","doi":"10.25504/FAIRsharing.pjqe4x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Graphics Interchange Format (GIF) is a standard for defining generalized color raster images. This format allows high-quality, high-resolution graphics to be displayed on a variety of graphics hardware and is intended as an exchange and display mechanism for graphics images. The format supports up to 8 bits per pixel for each image, allowing a single image to reference its own palette of up to 256 different colors chosen from the 24-bit RGB color space. It also supports animations and allows a separate palette of up to 256 colors for each frame. These palette limitations make the GIF format less suitable for reproducing color photographs and other images with continuous color, but it is well-suited for simpler images such as graphics or logos with solid areas of color.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14734}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"963","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T21:38:34.000Z","updated_at":"2023-09-29T11:54:57.562Z","metadata":{"doi":"10.25504/FAIRsharing.3cfa81","name":"Linguistic Annotation Format (LAF)","status":"ready","contacts":[{"contact_name":"Nancy Ide","contact_email":"ide@cs.vassar.edu"}],"homepage":"https://www.iso.org/standard/37326.html","citations":[{"publication_id":2438}],"identifier":963,"description":"ISO 24612:2012 specifies a linguistic annotation framework (LAF) for representing linguistic annotations of language data such as corpora, speech signal and video. The framework includes an abstract data model and an XML serialization of that model for representing annotations of primary data. The serialization serves as a pivot format to allow annotations expressed in one representation format to be mapped onto another.","abbreviation":"ISO 24612:2012","support_links":[{"url":"kschoi@kaist.ac.kr","name":"TC Contact: Key-Sun Choi","type":"Support email"},{"url":"https://www.iso.org/contents/data/standard/03/73/37326.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2012},"legacy_ids":["bsg-001249","bsg-s001249"],"name":"FAIRsharing record for: Linguistic Annotation Format (LAF)","abbreviation":"ISO 24612:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.3cfa81","doi":"10.25504/FAIRsharing.3cfa81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24612:2012 specifies a linguistic annotation framework (LAF) for representing linguistic annotations of language data such as corpora, speech signal and video. The framework includes an abstract data model and an XML serialization of that model for representing annotations of primary data. The serialization serves as a pivot format to allow annotations expressed in one representation format to be mapped onto another.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2438,"pubmed_id":null,"title":"The Linguistic Annotation Framework: a standard for annotation interchange and merging","year":2014,"url":"https://link.springer.com/article/10.1007%2Fs10579-014-9268-1","authors":"Nancy Ide, Keith Suderman","journal":"Language and Resource Evaluation","doi":null,"created_at":"2021-09-30T08:26:59.102Z","updated_at":"2021-09-30T08:26:59.102Z"},{"id":2439,"pubmed_id":null,"title":"International standard for a linguistic annotation framework","year":2004,"url":"https://dl.acm.org/citation.cfm?id=1030320","authors":"L. Romary and N. Ide","journal":"Natural Language Engineering","doi":null,"created_at":"2021-09-30T08:26:59.211Z","updated_at":"2021-09-30T08:26:59.211Z"}],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":474,"relation":"undefined"}],"grants":[{"id":6518,"fairsharing_record_id":963,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:04.032Z","updated_at":"2021-09-30T09:28:04.032Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10917,"fairsharing_record_id":963,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:07:56.662Z","updated_at":"2023-09-27T14:07:56.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"964","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T19:41:24.000Z","updated_at":"2022-02-08T10:48:47.159Z","metadata":{"doi":"10.25504/FAIRsharing.b12145","name":"Multilingual Information Framework","status":"ready","contacts":[{"contact_name":"Eliza Margaretha","contact_email":"margaretha@ids-mannheim.de"}],"homepage":"https://clarin.ids-mannheim.de/standards/views/view-spec.xq;jsessionid=jztgj4dhx1r61eozukuitwsqt?id=SpecMLIF","citations":[],"identifier":964,"description":"MLIF provides a generic platform for modeling, managing, describing multilingual data within various applications in the following domains: localization, translation memories, multimedia, document management. It also specifies a metamodel and a set of generic data categories, which can be complemented by adding categories from Data Category Registry (DCR) with respect to the application domain.","abbreviation":"MLIF","year_creation":2012},"legacy_ids":["bsg-001253","bsg-s001253"],"name":"FAIRsharing record for: Multilingual Information Framework","abbreviation":"MLIF","url":"https://fairsharing.org/10.25504/FAIRsharing.b12145","doi":"10.25504/FAIRsharing.b12145","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MLIF provides a generic platform for modeling, managing, describing multilingual data within various applications in the following domains: localization, translation memories, multimedia, document management. It also specifies a metamodel and a set of generic data categories, which can be complemented by adding categories from Data Category Registry (DCR) with respect to the application domain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6519,"fairsharing_record_id":964,"organisation_id":1525,"relation":"maintains","created_at":"2021-09-30T09:28:04.069Z","updated_at":"2021-09-30T09:28:04.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"965","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.651Z","metadata":{"doi":"10.25504/FAIRsharing.nggj0j","name":"Joint Photographic Experts Group Format","status":"ready","homepage":"https://www.w3.org/Graphics/JPEG/","identifier":965,"description":"Joint Photographic Experts Group Format is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. JPEG JFIF, which is what people generally mean when they refer to \"JPEG\", is a file format created by the Independent JPEG Group (IJG) for the transport of single JPEG-compressed images. The JPEG compression format was standardised by ISO in August 1990 and commercial applications using it began to show up in 1991. The widely used IJG implementation was first publicly released in October 1991 and has been considerably developed since that time. JPEG JFIF images are widely used on the Web. The amount of compression can be adjusted to achieve the desired trade-off between file size and visual quality. Progressive JPEG is a means of reordering the information so that, after only a small part has been downloaded, a hazy view of the entire image is presented rather than a crisp view of just a small part. It is part of the original JPEG specification, but was not implemented in Web browsers until rather later on, around 1996. It is now fairly widely supported. Although the \"baseline\" variety of JPEG is believed patent-free, there are many patents associated with some optional features of JPEG, namely arithmetic coding and hierarchical storage. For this reason, these optional features are never used on the Web.","abbreviation":"JPEG Format","support_links":[{"url":"http://www.faqs.org/faqs/jpeg-faq/","name":"JPEG FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://en.wikipedia.org/wiki/JPEG#The_JPEG_standard","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":1990},"legacy_ids":["bsg-000241","bsg-s000241"],"name":"FAIRsharing record for: Joint Photographic Experts Group Format","abbreviation":"JPEG Format","url":"https://fairsharing.org/10.25504/FAIRsharing.nggj0j","doi":"10.25504/FAIRsharing.nggj0j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Joint Photographic Experts Group Format is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. JPEG JFIF, which is what people generally mean when they refer to \"JPEG\", is a file format created by the Independent JPEG Group (IJG) for the transport of single JPEG-compressed images. The JPEG compression format was standardised by ISO in August 1990 and commercial applications using it began to show up in 1991. The widely used IJG implementation was first publicly released in October 1991 and has been considerably developed since that time. JPEG JFIF images are widely used on the Web. The amount of compression can be adjusted to achieve the desired trade-off between file size and visual quality. Progressive JPEG is a means of reordering the information so that, after only a small part has been downloaded, a hazy view of the entire image is presented rather than a crisp view of just a small part. It is part of the original JPEG specification, but was not implemented in Web browsers until rather later on, around 1996. It is now fairly widely supported. Although the \"baseline\" variety of JPEG is believed patent-free, there are many patents associated with some optional features of JPEG, namely arithmetic coding and hierarchical storage. For this reason, these optional features are never used on the Web.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"966","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T21:19:15.000Z","updated_at":"2022-07-20T09:15:12.273Z","metadata":{"doi":"10.25504/FAIRsharing.2b4419","name":"XML Query Language","status":"ready","contacts":[{"contact_name":"Jonathan Robie","contact_email":"jonathan.robie@biblicalhumanities.org"}],"homepage":"https://www.w3.org/TR/xquery-3/","identifier":966,"description":"XML Query Language (XQuery) is a W3C query language which is designed to be broadly applicable across many types of XML data sources. XQuery is designed to be a language in which queries are concise and easily understood. It is also flexible enough to query a broad spectrum of XML information sources, including both databases and documents. The Query Working Group has identified a requirement for both a non-XML query syntax (XQuery) and an XML-based query syntax (XQueryX).","abbreviation":"XQuery","support_links":[{"url":"liam@w3.org","name":"XQuery Working Group Contact","type":"Support email"},{"url":"https://www.w3.org/XML/Query/","name":"News and Documentation","type":"Help documentation"},{"url":"https://www.w3.org/XML/Query/Overview.rss","name":"XQuery RSS Feed","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001287","bsg-s001287"],"name":"FAIRsharing record for: XML Query Language","abbreviation":"XQuery","url":"https://fairsharing.org/10.25504/FAIRsharing.2b4419","doi":"10.25504/FAIRsharing.2b4419","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Query Language (XQuery) is a W3C query language which is designed to be broadly applicable across many types of XML data sources. XQuery is designed to be a language in which queries are concise and easily understood. It is also flexible enough to query a broad spectrum of XML information sources, including both databases and documents. The Query Working Group has identified a requirement for both a non-XML query syntax (XQuery) and an XML-based query syntax (XQueryX).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":926,"relation":"undefined"}],"grants":[{"id":6520,"fairsharing_record_id":966,"organisation_id":3212,"relation":"maintains","created_at":"2021-09-30T09:28:04.112Z","updated_at":"2021-09-30T09:28:04.112Z","grant_id":null,"is_lead":true,"saved_state":{"id":3212,"name":"W3C XML Query Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"967","type":"fairsharing_records","attributes":{"created_at":"2020-11-17T19:31:18.000Z","updated_at":"2022-07-20T11:00:21.790Z","metadata":{"doi":"10.25504/FAIRsharing.e451d0","name":"Geoscience Markup Language","status":"ready","contacts":[{"contact_name":"Eric Boisvert","contact_email":"eric.boisvert2@canada.ca"}],"homepage":"http://geosciml.org/","identifier":967,"description":"Geoscience Markup Language (GeoSciML) covers the domain of geology (earth materials, geological units and stratigraphy, geological time, geological structures, geomorphology, geochemistry) and sampling features common to Geoscience, such as boreholes and geological specimens. The specification also proposes a simplified version of GeoSciML suitable for portrayal of geological features on digital maps. Within the OGC, this standard has the reference number OGC 16-008.","abbreviation":"GeoSciML","support_links":[{"url":"http://geosciml.org/news-archive.html","name":"News","type":"Blog/News"},{"url":"CGIsecretariat@mail.cgs.gov.cn","name":"CGI General Contact","type":"Support email"},{"url":"http://www.onegeology.org/docs/technical/OneGeologyWFSCookbook_v1.2.pdf","name":"How to Serve a GeoSciML WFS (PDF)","type":"Help documentation"},{"url":"http://www.onegeology.org/docs/technical/GeoSciML_Cookbook_1.2.1.pdf","name":"GeoSciML Cookbook (PDF)","type":"Help documentation"},{"url":"http://geosciml.org/doc/geosciml/4.1/documentation/html/","name":"UML","type":"Help documentation"},{"url":"https://external.ogc.org/twiki_public/GeoSciMLswg/WebHome","name":"GeoSciML Wiki","type":"Help documentation"},{"url":"https://portal.opengeospatial.org/files/?artifact_id=72895","name":"UML Summary (PDF)","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001541","bsg-s001541"],"name":"FAIRsharing record for: Geoscience Markup Language","abbreviation":"GeoSciML","url":"https://fairsharing.org/10.25504/FAIRsharing.e451d0","doi":"10.25504/FAIRsharing.e451d0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Geoscience Markup Language (GeoSciML) covers the domain of geology (earth materials, geological units and stratigraphy, geological time, geological structures, geomorphology, geochemistry) and sampling features common to Geoscience, such as boreholes and geological specimens. The specification also proposes a simplified version of GeoSciML suitable for portrayal of geological features on digital maps. Within the OGC, this standard has the reference number OGC 16-008.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geochemistry","Geology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Geomorphology","Stratigraphy"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2184,"relation":"undefined"}],"grants":[{"id":6521,"fairsharing_record_id":967,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:04.152Z","updated_at":"2021-09-30T09:28:04.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6522,"fairsharing_record_id":967,"organisation_id":564,"relation":"maintains","created_at":"2021-09-30T09:28:04.194Z","updated_at":"2021-09-30T09:28:04.194Z","grant_id":null,"is_lead":true,"saved_state":{"id":564,"name":"Commission for the Management and Application of Geoscience Information (CGI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"968","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-30T10:16:50.683Z","metadata":{"doi":"10.25504/FAIRsharing.d5vqn0","name":"Computational Neuroscience Ontology","status":"deprecated","contacts":[{"contact_name":"Yann Le Franc","contact_email":"ylefranc@gmail.com","contact_orcid":"0000-0003-4631-418X"}],"homepage":"https://github.com/INCF/Computational-Neurosciences-Ontology--C.N.O.-/wiki","citations":[],"identifier":968,"description":"CNO is a controlled vocabulary of terms used in Computational Neurosciences to describe models of the nervous system. This first release of CNO is an alpha version and should be further aligned with other ontologies accessible on Bioportal and should be made compliant with the OBO foundry recommendations. ","abbreviation":"CNO","support_links":[{"url":"https://github.com/INCF/Computational-Neurosciences-Ontology--C.N.O.-","name":"GitHub Repository","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CNO","name":"CNO","portal":"BioPortal"}],"deprecation_date":"2022-11-30","deprecation_reason":"This ontology has not been updated since 2015, and we could not contact the owner of the ontology. While it is still available for download (https://bioportal.bioontology.org/ontologies/CNO), we cannot make any statement about the level of reusability that it has. The information presented in this record was correct when the resource was under active development."},"legacy_ids":["bsg-002780","bsg-s002780"],"name":"FAIRsharing record for: Computational Neuroscience Ontology","abbreviation":"CNO","url":"https://fairsharing.org/10.25504/FAIRsharing.d5vqn0","doi":"10.25504/FAIRsharing.d5vqn0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CNO is a controlled vocabulary of terms used in Computational Neurosciences to describe models of the nervous system. This first release of CNO is an alpha version and should be further aligned with other ontologies accessible on Bioportal and should be made compliant with the OBO foundry recommendations. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Bioinformatics","Computational Neuroscience","Neuroscience"],"domains":["Network model","Modeling and simulation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","France"],"publications":[{"id":2432,"pubmed_id":null,"title":"Computational Neuroscience Ontology: a new tool to provide semantic meaning to your models","year":2012,"url":"http://doi.org/10.1186/1471-2202-13-S1-P149","authors":"Yann Le Franc, Andrew P Davison, Padraig Gleeson, Fahim T Imam, Birgit Kriener, Stephen D Larson, Subhasis Ray, Lars Schwabe, Sean Hill, and Erik De Schutter","journal":"BMC Neuroscience","doi":"10.1186/1471-2202-13-S1-P149","created_at":"2021-09-30T08:26:58.419Z","updated_at":"2021-09-30T08:26:58.419Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":350,"relation":"undefined"}],"grants":[{"id":6523,"fairsharing_record_id":968,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:28:04.232Z","updated_at":"2021-09-30T09:28:04.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"970","type":"fairsharing_records","attributes":{"created_at":"2018-08-13T21:40:18.000Z","updated_at":"2022-02-08T10:47:37.839Z","metadata":{"doi":"10.25504/FAIRsharing.7398d9","name":"Dublin Core Metadata Initiative Abstract Model","status":"ready","contacts":[{"contact_name":"Andy Powell","contact_email":"a.powell@ukoln.ac.uk"}],"homepage":"http://dublincore.org/documents/abstract-model/","identifier":970,"description":"DCAM describes the abstract model for the Dublin Core metadata. The primary purpose of this document is to specify the components and constructs used in Dublin Core metadata. It defines the nature of the components used and describes how those components are combined to create information structures. It provides an information model which is independent of any particular encoding syntax.","abbreviation":"DCAM","support_links":[{"url":"https://twitter.com/dublincore","name":"@dublincore","type":"Twitter"}],"year_creation":2005},"legacy_ids":["bsg-001233","bsg-s001233"],"name":"FAIRsharing record for: Dublin Core Metadata Initiative Abstract Model","abbreviation":"DCAM","url":"https://fairsharing.org/10.25504/FAIRsharing.7398d9","doi":"10.25504/FAIRsharing.7398d9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DCAM describes the abstract model for the Dublin Core metadata. The primary purpose of this document is to specify the components and constructs used in Dublin Core metadata. It defines the nature of the components used and describes how those components are combined to create information structures. It provides an information model which is independent of any particular encoding syntax.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17354}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Resource metadata","Free text","Image"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Sweden","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":536,"relation":"undefined"}],"grants":[{"id":6525,"fairsharing_record_id":970,"organisation_id":827,"relation":"maintains","created_at":"2021-09-30T09:28:04.311Z","updated_at":"2021-09-30T09:28:04.311Z","grant_id":null,"is_lead":true,"saved_state":{"id":827,"name":"Eduserv Foundation, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6526,"fairsharing_record_id":970,"organisation_id":1651,"relation":"maintains","created_at":"2021-09-30T09:28:04.362Z","updated_at":"2021-09-30T09:28:04.362Z","grant_id":null,"is_lead":true,"saved_state":{"id":1651,"name":"KTH Royal Institute of Technology, Stockholm, Sweden","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"971","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T21:00:28.000Z","updated_at":"2022-07-20T12:19:37.583Z","metadata":{"doi":"10.25504/FAIRsharing.86cf8a","name":"XML Path Language","status":"ready","contacts":[{"contact_name":"Jonathan Robie","contact_email":"jonathan.robie@emc.com"}],"homepage":"http://www.w3.org/TR/xpath-30/","identifier":971,"description":"The primary purpose of XPath is to address the nodes of XML trees. XPath gets its name from its use of a path notation for navigating through the hierarchical structure of an XML document. XPath uses a compact, non-XML syntax to facilitate use of XPath within URIs and XML attribute values. XPath operates on the abstract, logical structure of an XML document, rather than its surface syntax. XPath is designed to be embedded in a host language such as XSLT or XQuery.","abbreviation":"XPath","support_links":[{"url":"public-qt-comments@w3.org","name":"General Contact","type":"Support email"},{"url":"https://www.w3.org/Bugs/Public/","name":"W3C Issue Tracker","type":"Forum"}],"year_creation":1999},"legacy_ids":["bsg-001286","bsg-s001286"],"name":"FAIRsharing record for: XML Path Language","abbreviation":"XPath","url":"https://fairsharing.org/10.25504/FAIRsharing.86cf8a","doi":"10.25504/FAIRsharing.86cf8a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary purpose of XPath is to address the nodes of XML trees. XPath gets its name from its use of a path notation for navigating through the hierarchical structure of an XML document. XPath uses a compact, non-XML syntax to facilitate use of XPath within URIs and XML attribute values. XPath operates on the abstract, logical structure of an XML document, rather than its surface syntax. XPath is designed to be embedded in a host language such as XSLT or XQuery.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1046,"relation":"undefined"}],"grants":[{"id":6528,"fairsharing_record_id":971,"organisation_id":3212,"relation":"maintains","created_at":"2021-09-30T09:28:04.445Z","updated_at":"2021-09-30T09:28:04.445Z","grant_id":null,"is_lead":true,"saved_state":{"id":3212,"name":"W3C XML Query Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6527,"fairsharing_record_id":971,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:04.402Z","updated_at":"2021-09-30T09:28:04.402Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"972","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T10:50:56.424Z","metadata":{"doi":"10.25504/FAIRsharing.nesfnr","name":"Neglected Tropical Disease Ontology","status":"ready","contacts":[{"contact_name":"Filipe Santana","contact_email":"fss3@cin.ufpe.br"}],"homepage":"http://www.cin.ufpe.br/~ntdo","identifier":972,"description":"The Neglected Tropical Disease Ontology (NTDO) models Neglected Tropical Diseases (NTD), a specific set of diseases which persist among marginalized populations of the developing world. The NTDO focuses on vector-borne disease control as the transmission path, as this drives prevention strategies and decision support. NTDO includes information about the disease, its causative agents (when available), dispositions, and the geographic location the disease happens.","abbreviation":"NTDO","support_links":[{"url":"https://www.cin.ufpe.br/~ntdo","name":"Contact Form (via Contact Tab)","type":"Contact form"}],"year_creation":2012},"legacy_ids":["bsg-000785","bsg-s000785"],"name":"FAIRsharing record for: Neglected Tropical Disease Ontology","abbreviation":"NTDO","url":"https://fairsharing.org/10.25504/FAIRsharing.nesfnr","doi":"10.25504/FAIRsharing.nesfnr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neglected Tropical Disease Ontology (NTDO) models Neglected Tropical Diseases (NTD), a specific set of diseases which persist among marginalized populations of the developing world. The NTDO focuses on vector-borne disease control as the transmission path, as this drives prevention strategies and decision support. NTDO includes information about the disease, its causative agents (when available), dispositions, and the geographic location the disease happens.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine","Tropical Medicine"],"domains":["Tropical","Disease"],"taxonomies":["All"],"user_defined_tags":["tropical disease"],"countries":["Austria","Brazil","Germany"],"publications":[{"id":2202,"pubmed_id":21685092,"title":"Ontology patterns for tabular representations of biomedical knowledge on neglected tropical diseases.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr226","authors":"Santana F,Schober D,Medeiros Z,Freitas F,Schulz S","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr226","created_at":"2021-09-30T08:26:28.148Z","updated_at":"2021-09-30T08:26:28.148Z"},{"id":2229,"pubmed_id":23046681,"title":"Towards an ontological representation of morbidity and mortality in Description Logics.","year":2012,"url":"http://doi.org/10.1186/2041-1480-3-S2-S7","authors":"Santana F,Freitas F,Fernandes R,Medeiros Z,Schober D","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-3-S2-S7","created_at":"2021-09-30T08:26:31.209Z","updated_at":"2021-09-30T08:26:31.209Z"}],"licence_links":[],"grants":[{"id":6529,"fairsharing_record_id":972,"organisation_id":1343,"relation":"maintains","created_at":"2021-09-30T09:28:04.482Z","updated_at":"2021-09-30T09:28:04.482Z","grant_id":null,"is_lead":true,"saved_state":{"id":1343,"name":"Informatics Center, Federal University of Pernambuco (CIn/UFPE), Recife, Brazil","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"973","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:15:44.000Z","updated_at":"2022-12-13T10:25:14.621Z","metadata":{"doi":"10.25504/FAIRsharing.GPYJ4G","name":"IVOA Support Interfaces","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/VOSI/index.html","citations":[{"publication_id":2954}],"identifier":973,"description":"IVOA Support Interfaces (VOSI) describes the minimum interface that a web service requires to participate in the IVOA. Note that this is not required of standard VO services developed prior to this specification, although uptake is strongly encouraged on any subsequent revision. All new standard VO services, however, must feature a VOSI-compliant interface.","abbreviation":"VOSI","support_links":[{"url":"http://www.ivoa.net/documents/VOSI/20170524/REC-VOSI-1.1.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOSIHome","name":"VOSI Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001194","bsg-s001194"],"name":"FAIRsharing record for: IVOA Support Interfaces","abbreviation":"VOSI","url":"https://fairsharing.org/10.25504/FAIRsharing.GPYJ4G","doi":"10.25504/FAIRsharing.GPYJ4G","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IVOA Support Interfaces (VOSI) describes the minimum interface that a web service requires to participate in the IVOA. Note that this is not required of standard VO services developed prior to this specification, although uptake is strongly encouraged on any subsequent revision. All new standard VO services, however, must feature a VOSI-compliant interface.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11460}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2954,"pubmed_id":null,"title":"IVOA Support Interfaces Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0524G","authors":"Graham, Matthew; Rixon, Guy; Dowler, Patrick; Major, Brian; Grid; Web Services Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.091Z","updated_at":"2021-09-30T08:28:04.091Z"}],"licence_links":[],"grants":[{"id":6531,"fairsharing_record_id":973,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:04.538Z","updated_at":"2021-09-30T09:28:04.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6530,"fairsharing_record_id":973,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:04.515Z","updated_at":"2021-09-30T09:28:04.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"982","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-24T08:34:01.286Z","metadata":{"doi":"10.25504/FAIRsharing.v9n3gk","name":"Resource Description Framework Schema","status":"ready","contacts":[{"contact_name":"Dan Brickley","contact_email":"danbri@w3.org"},{"contact_name":"General Contact List","contact_email":"public-rdf-comments@w3.org","contact_orcid":null}],"homepage":"https://www.w3.org/TR/rdf-schema/","citations":[],"identifier":982,"description":"RDF Schema (RDFS) is the RDF vocabulary description language. RDFS defines classes and properties that may be used to describe classes, properties and other resources.","abbreviation":"RDFS","support_links":[{"url":"public-rdf-comments@w3.org","type":"Mailing list"},{"url":"https://www.w3.org/2001/sw/wiki/RDF1.1_Errata","name":"Errata","type":"Help documentation"},{"url":"https://lists.w3.org/Archives/Public/public-rdf-comments/","name":"Archives","type":"Help documentation"}],"year_creation":1997},"legacy_ids":["bsg-000283","bsg-s000283"],"name":"FAIRsharing record for: Resource Description Framework Schema","abbreviation":"RDFS","url":"https://fairsharing.org/10.25504/FAIRsharing.v9n3gk","doi":"10.25504/FAIRsharing.v9n3gk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDF Schema (RDFS) is the RDF vocabulary description language. RDFS defines classes and properties that may be used to describe classes, properties and other resources.","linked_records":[],"linking_records":[{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13284}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":3613,"relation":"applies_to_content"}],"grants":[{"id":11749,"fairsharing_record_id":982,"organisation_id":3206,"relation":"maintains","created_at":"2024-04-24T08:31:31.787Z","updated_at":"2024-04-24T08:31:31.787Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa29FIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--281958c8c1e9b3cb29b389db6001e72d59b753aa/Screenshot%20from%202024-04-24%2009-19-48.png?disposition=inline","exhaustive_licences":true}},{"id":"983","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:19.066Z","metadata":{"doi":"10.25504/FAIRsharing.jy3bvk","name":"Pediatric Terminology","status":"ready","contacts":[{"contact_name":"Ranjana Srivastava","contact_email":"srivastava_ranjana@bah.com"}],"homepage":"https://www.cancer.gov/research/resources/terminology/pediatric","identifier":983,"description":"Terms associated with pediatrics, representing information related to child health and development from pre-birth through 21 years of age; contributed by the National Institute of Child Health and Human Development.","abbreviation":"PedTerm","support_links":[{"url":"https://fr.slideshare.net/saharneama/pediatric-terminology","name":"Slideshare","type":"Help documentation"},{"url":"http://www.interpreterprep.com/PEDIATRIC_TERMINOLOGY.pdf","name":"Online pdf","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-002733","bsg-s002733"],"name":"FAIRsharing record for: Pediatric Terminology","abbreviation":"PedTerm","url":"https://fairsharing.org/10.25504/FAIRsharing.jy3bvk","doi":"10.25504/FAIRsharing.jy3bvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terms associated with pediatrics, representing information related to child health and development from pre-birth through 21 years of age; contributed by the National Institute of Child Health and Human Development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Pediatrics","Biomedical Science"],"domains":["Disease","Infant"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1788,"pubmed_id":24534404,"title":"Building a common pediatric research terminology for accelerating child health research.","year":2014,"url":"http://doi.org/10.1542/peds.2013-1504","authors":"Kahn MG,Bailey LC,Forrest CB,Padula MA,Hirschfeld S","journal":"Pediatrics","doi":"10.1542/peds.2013-1504","created_at":"2021-09-30T08:25:40.646Z","updated_at":"2021-09-30T08:25:40.646Z"}],"licence_links":[],"grants":[{"id":6549,"fairsharing_record_id":983,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:05.181Z","updated_at":"2021-09-30T09:28:05.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6547,"fairsharing_record_id":983,"organisation_id":36,"relation":"funds","created_at":"2021-09-30T09:28:05.125Z","updated_at":"2021-09-30T09:32:19.314Z","grant_id":1565,"is_lead":false,"saved_state":{"id":36,"name":"Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services, USA","grant":"R01HS020024-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6548,"fairsharing_record_id":983,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:05.158Z","updated_at":"2021-09-30T09:29:18.862Z","grant_id":191,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"UL1 TR000154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7971,"fairsharing_record_id":983,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:10.002Z","updated_at":"2021-09-30T09:30:10.041Z","grant_id":581,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN267200700020C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8044,"fairsharing_record_id":983,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:37.454Z","updated_at":"2021-09-30T09:30:37.509Z","grant_id":795,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN275200800018C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"984","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-07T16:03:50.955Z","metadata":{"doi":"10.25504/FAIRsharing.75r2zd","name":"Ontology of Clinical Research","status":"ready","contacts":[{"contact_name":"Ida Sim","contact_email":"ida.sim@ucsf.edu","contact_orcid":"0000-0002-1045-8459"}],"homepage":"https://sites.google.com/site/humanstudyome/home/ocre","citations":[],"identifier":984,"description":"OCRe is an OWL ontology designed to support the systematic description of, and interoperable queries on, human studies and study elements. Please note that, while this ontology is available for use, it is currently not being actively developed.","abbreviation":"OCRe","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCRE","name":"OCRE","portal":"BioPortal"}]},"legacy_ids":["bsg-000071","bsg-s000071"],"name":"FAIRsharing record for: Ontology of Clinical Research","abbreviation":"OCRe","url":"https://fairsharing.org/10.25504/FAIRsharing.75r2zd","doi":"10.25504/FAIRsharing.75r2zd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OCRe is an OWL ontology designed to support the systematic description of, and interoperable queries on, human studies and study elements. Please note that, while this ontology is available for use, it is currently not being actively developed.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17356},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12392}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Interoperability"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":9099,"fairsharing_record_id":984,"organisation_id":3035,"relation":"maintains","created_at":"2022-04-07T14:20:03.769Z","updated_at":"2022-04-07T14:20:03.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":3035,"name":"University of California, San Francisco, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"985","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-03-14T16:34:04.147Z","metadata":{"doi":"10.25504/FAIRsharing.zc2tfa","name":"Fanconi Anemia Ontology","status":"ready","contacts":[{"contact_name":"Erica Sanborn","contact_email":"esanborn@rockefeller.edu"}],"homepage":"http://lab.rockefeller.edu/smogorzewska/ifar/","citations":[],"identifier":985,"description":"An application ontology devoted to the standardized recording of data related to Fanconi Anemia (FA). This ontology was created using an OWL file provided by Dr. Ada Hamish (and Francois Schiettecatte) at the Centers for Mendelian Genetics, with their permission. Their original ontology can be found at: http://phenodb.net/help/features. Modifications were made using HPO, OMIM, NCI, and SNOMED. Novel classes pertaining to FA were added and defined as appropriate.","abbreviation":"IFAR","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IFAR","name":"IFAR","portal":"BioPortal"}]},"legacy_ids":["bsg-001070","bsg-s001070"],"name":"FAIRsharing record for: Fanconi Anemia Ontology","abbreviation":"IFAR","url":"https://fairsharing.org/10.25504/FAIRsharing.zc2tfa","doi":"10.25504/FAIRsharing.zc2tfa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology devoted to the standardized recording of data related to Fanconi Anemia (FA). This ontology was created using an OWL file provided by Dr. Ada Hamish (and Francois Schiettecatte) at the Centers for Mendelian Genetics, with their permission. Their original ontology can be found at: http://phenodb.net/help/features. Modifications were made using HPO, OMIM, NCI, and SNOMED. Novel classes pertaining to FA were added and defined as appropriate.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10407,"fairsharing_record_id":985,"organisation_id":3915,"relation":"undefined","created_at":"2023-03-14T16:33:24.463Z","updated_at":"2023-03-14T16:33:24.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":3915,"name":"Rockefeller University","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"986","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T12:30:38.000Z","updated_at":"2023-09-29T11:55:00.708Z","metadata":{"doi":"10.25504/FAIRsharing.fdc683","name":"Computer applications in terminology -- Terminological markup framework","status":"ready","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/56063.html","citations":[],"identifier":986,"description":"ISO 16642:2017 specifies a framework for representing data recorded in terminological data collections (TDCs). This framework includes a metamodel and methods for describing specific terminological markup languages (TMLs) expressed in XML. The mechanisms for implementing constraints in a TML are defined, but not the specific constraints for individual TMLs. ISO 16642:2017 is designed to support the development and use of computer applications for terminological data and the exchange of such data between different applications. This document also defines the conditions that allow the data expressed in one TML to be mapped onto another TML.","abbreviation":"ISO 16642:2017","support_links":[],"year_creation":2009},"legacy_ids":["bsg-001278","bsg-s001278"],"name":"FAIRsharing record for: Computer applications in terminology -- Terminological markup framework","abbreviation":"ISO 16642:2017","url":"https://fairsharing.org/10.25504/FAIRsharing.fdc683","doi":"10.25504/FAIRsharing.fdc683","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 16642:2017 specifies a framework for representing data recorded in terminological data collections (TDCs). This framework includes a metamodel and methods for describing specific terminological markup languages (TMLs) expressed in XML. The mechanisms for implementing constraints in a TML are defined, but not the specific constraints for individual TMLs. ISO 16642:2017 is designed to support the development and use of computer applications for terminological data and the exchange of such data between different applications. This document also defines the conditions that allow the data expressed in one TML to be mapped onto another TML.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":275,"relation":"undefined"}],"grants":[{"id":6553,"fairsharing_record_id":986,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:05.322Z","updated_at":"2021-09-30T09:28:05.322Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10935,"fairsharing_record_id":986,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:23:39.233Z","updated_at":"2023-09-27T14:23:39.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"993","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:53:29.000Z","updated_at":"2023-09-29T11:54:58.120Z","metadata":{"doi":"10.25504/FAIRsharing.e33260","name":"Language resource management -- Persistent identification and sustainable access (PISA)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37333.html","citations":[],"identifier":993,"description":"ISO 24619:2011 specifies requirements for the persistent identifier (PID) framework and for using PIDs for referencing and citing documents, files and language resources (e.g digital dictionaries, text corpora, linguistic annotated corpora). A PID is an electronic identification referring to or citing electronic documents, files, resources, resource collections such as books, articles, papers, images etc. ISO 24619:2011 also addresses issues of persistence and granularity of references to resources, first by requiring that persistent references be implemented by using a PID framework and further by imposing requirements on any PID frameworks used for this purpose.","abbreviation":"ISO 24619:2011","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37333.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2011},"legacy_ids":["bsg-001260","bsg-s001260"],"name":"FAIRsharing record for: Language resource management -- Persistent identification and sustainable access (PISA)","abbreviation":"ISO 24619:2011","url":"https://fairsharing.org/10.25504/FAIRsharing.e33260","doi":"10.25504/FAIRsharing.e33260","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24619:2011 specifies requirements for the persistent identifier (PID) framework and for using PIDs for referencing and citing documents, files and language resources (e.g digital dictionaries, text corpora, linguistic annotated corpora). A PID is an electronic identification referring to or citing electronic documents, files, resources, resource collections such as books, articles, papers, images etc. ISO 24619:2011 also addresses issues of persistence and granularity of references to resources, first by requiring that persistent references be implemented by using a PID framework and further by imposing requirements on any PID frameworks used for this purpose.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Resource metadata","Bibliography","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":285,"relation":"undefined"}],"grants":[{"id":6565,"fairsharing_record_id":993,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:05.760Z","updated_at":"2021-09-30T09:28:05.760Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10920,"fairsharing_record_id":993,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:11:19.943Z","updated_at":"2023-09-27T14:11:19.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"994","type":"fairsharing_records","attributes":{"created_at":"2018-08-16T22:39:31.000Z","updated_at":"2023-05-05T08:37:42.273Z","metadata":{"doi":"10.25504/FAIRsharing.9ee4cc","name":"Distributed Ontology, Model, and Specification Language","status":"ready","contacts":[{"contact_name":"General OMG Contact","contact_email":"info@omg.org"}],"homepage":"http://dol-omg.org/","citations":[],"identifier":994,"description":"The Distributed Ontology, Model and Specification Language (DOL) is an OMG standard. DOL aims at providing a unified metalanguage for: “as-is” use of ontologies, specifications, and models (OSMs), formulated in a specific language; OSMs formalised in heterogeneous logics; modular OSMs; mappings (interpretations, alignments, refinements, and others) between OSMs; and networks of OMS and mappings.","abbreviation":"DOL","support_links":[{"url":"https://issues.omg.org/issues/create-new-issue?specification=DOL%231.0","name":"Submit an Issue","type":"Forum"},{"url":"http://iws.cs.uni-magdeburg.de/~mossakow/papers/DOL-Manifesto.pdf","name":"DOL Manifesto","type":"Help documentation"},{"url":"http://iws.cs.uni-magdeburg.de/~mossakow/papers/Ontology-Patterns-with-DOWL-The-Case-of-Blending.pdf","name":"Ontology Patterns with DOWL: The Case of Blending","type":"Help documentation"},{"url":"http://www.iks.cs.ovgu.de/~till/papers/womo2013.pdf","name":"Overview of DOL syntax","type":"Help documentation"},{"url":"https://www.omg.org/spec/DOL/","name":"About the Specification","type":"Help documentation"},{"url":"https://github.com/tillmo/DOL","name":"GitHub Repository","type":"Github"},{"url":"http://esslli2016.unibz.it/?page_id=171","name":"DOL Tutorial 2016","type":"Training documentation"},{"url":"http://iws.cs.uni-magdeburg.de/~mossakow/papers/2015-09-21-DOL-tutorial.pdf","name":"DOL Tuturial 2015","type":"Training documentation"},{"url":"https://www.omg.org/spec/DOL","name":"DOL on OMG","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"http://wiki.dol-omg.org/index.php/Hets","name":"The Heterogneous Tool Set (Hets)"},{"url":"http://wiki.dol-omg.org/index.php/Emacs_mode","name":"emacs mode for DOL"}]},"legacy_ids":["bsg-001238","bsg-s001238"],"name":"FAIRsharing record for: Distributed Ontology, Model, and Specification Language","abbreviation":"DOL","url":"https://fairsharing.org/10.25504/FAIRsharing.9ee4cc","doi":"10.25504/FAIRsharing.9ee4cc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Distributed Ontology, Model and Specification Language (DOL) is an OMG standard. DOL aims at providing a unified metalanguage for: “as-is” use of ontologies, specifications, and models (OSMs), formulated in a specific language; OSMs formalised in heterogeneous logics; modular OSMs; mappings (interpretations, alignments, refinements, and others) between OSMs; and networks of OMS and mappings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OMG Terms and Conditions","licence_id":1054,"licence_url":"https://www.omg.org/legal/index.htm","link_id":3192,"relation":"applies_to_content"}],"grants":[{"id":6566,"fairsharing_record_id":994,"organisation_id":2209,"relation":"maintains","created_at":"2021-09-30T09:28:05.795Z","updated_at":"2021-09-30T09:28:05.795Z","grant_id":null,"is_lead":true,"saved_state":{"id":2209,"name":"Object Management Group (OMG), Massachusetts, United States","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"995","type":"fairsharing_records","attributes":{"created_at":"2018-10-12T20:00:59.000Z","updated_at":"2022-07-20T10:42:43.531Z","metadata":{"doi":"10.25504/FAIRsharing.32e620","name":"AGRIS Application Profile","status":"ready","contacts":[{"contact_name":"AGRIS General Contact","contact_email":"agris@fao.org"}],"homepage":"http://www.fao.org/docrep/008/ae909e/ae909e00.htm","identifier":995,"description":"The AGRIS Application Profile (AGRIS AP) is a metadata standard created specifically to enhance the description, exchange and subsequent retrieval of agricultural Document-Like Information Objects (DLIOs). It is a metadata schema which draws elements from well known Metadata standards such as Dublin Core (DC), Australian Government Locator Service Metadata (AGLS) and Agricultural Metadata Element Set (AgMES) namespaces. It allows sharing of information across dispersed bibliographic systems and provides guidelines on recommended best practices for cataloguing and subject indexing. The AGRIS AP is a major step towards exchanging high-quality and medium-complex metadata in an application independent format. The goal of the AGRIS Application Profile (AGRIS AP) is to facilitate interoperability of metadata formats currently in use to enable linking of various types of agricultural information, therefore allowing users to perform cross-searches and other value added services.","abbreviation":"AGRIS AP","year_creation":1998},"legacy_ids":["bsg-001324","bsg-s001324"],"name":"FAIRsharing record for: AGRIS Application Profile","abbreviation":"AGRIS AP","url":"https://fairsharing.org/10.25504/FAIRsharing.32e620","doi":"10.25504/FAIRsharing.32e620","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AGRIS Application Profile (AGRIS AP) is a metadata standard created specifically to enhance the description, exchange and subsequent retrieval of agricultural Document-Like Information Objects (DLIOs). It is a metadata schema which draws elements from well known Metadata standards such as Dublin Core (DC), Australian Government Locator Service Metadata (AGLS) and Agricultural Metadata Element Set (AgMES) namespaces. It allows sharing of information across dispersed bibliographic systems and provides guidelines on recommended best practices for cataloguing and subject indexing. The AGRIS AP is a major step towards exchanging high-quality and medium-complex metadata in an application independent format. The goal of the AGRIS Application Profile (AGRIS AP) is to facilitate interoperability of metadata formats currently in use to enable linking of various types of agricultural information, therefore allowing users to perform cross-searches and other value added services.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Fisheries Science","Environmental Science","Data Management","Agriculture"],"domains":["Cropping systems","Food","Curated information"],"taxonomies":["All"],"user_defined_tags":["Livestock"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6567,"fairsharing_record_id":995,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:05.838Z","updated_at":"2021-09-30T09:28:05.838Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"980","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T19:17:23.000Z","updated_at":"2022-02-08T10:49:43.126Z","metadata":{"doi":"10.25504/FAIRsharing.87b86e","name":"Guidelines for Electronic Text Encoding and Interchange","status":"ready","homepage":"https://www.tei-c.org/release/doc/tei-p5-doc/en/html/index.html","identifier":980,"description":"The Text Encoding and Interchange (TEI) Guidelines are an international and interdisciplinary standard used by libraries, museums, publishers, and academics to represent all kinds of literary and linguistic texts, using an encoding scheme that is maximally expressive and minimally obsolescent. They make recommendations about suitable ways of representing those features of textual resources which need to be identified explicitly in order to facilitate processing by computer programs. In particular, they specify a set of markers (or tags) which may be inserted in the electronic representation of the text, in order to mark the text structure and other features of interest.","abbreviation":"P5 TEI Guidelines","support_links":[{"url":"https://github.com/TEIC/TEI","name":"GitHub Repository","type":"Github"},{"url":"https://tei-c.org/guidelines/P5/","name":"General Information for P5 TEI Guidelines","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001275","bsg-s001275"],"name":"FAIRsharing record for: Guidelines for Electronic Text Encoding and Interchange","abbreviation":"P5 TEI Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.87b86e","doi":"10.25504/FAIRsharing.87b86e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Text Encoding and Interchange (TEI) Guidelines are an international and interdisciplinary standard used by libraries, museums, publishers, and academics to represent all kinds of literary and linguistic texts, using an encoding scheme that is maximally expressive and minimally obsolescent. They make recommendations about suitable ways of representing those features of textual resources which need to be identified explicitly in order to facilitate processing by computer programs. In particular, they specify a set of markers (or tags) which may be inserted in the electronic representation of the text, in order to mark the text structure and other features of interest.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13363},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13898}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Humanities","Social Science","Subject Agnostic","Linguistics"],"domains":["Resource metadata","Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6539,"fairsharing_record_id":980,"organisation_id":2736,"relation":"maintains","created_at":"2021-09-30T09:28:04.831Z","updated_at":"2021-09-30T09:28:04.831Z","grant_id":null,"is_lead":true,"saved_state":{"id":2736,"name":"Text Encoding Initiative (TEI), Charlottesville, VA, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"981","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T09:42:12.000Z","updated_at":"2024-03-05T11:58:06.388Z","metadata":{"doi":"10.25504/FAIRsharing.af21db","name":"Compact URI","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"www-html-editor@w3.org"}],"homepage":"https://www.w3.org/TR/2010/NOTE-curie-20101216/","citations":[],"identifier":981,"description":"A CURIE (or Compact URI) defines a generic, abbreviated syntax for expressing Uniform Resource Identifiers (URIs). It is an abbreviated URI expressed in a compact syntax, and may be found in both XML and non-XML grammars.","abbreviation":"CURIE","support_links":[{"url":"www-html@w3.org","name":"Public discussion","type":"Support email"},{"url":"https://lists.w3.org/Archives/Public/www-html-editor/","name":"Mail Archives","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/CURIE","name":"Wikipedia","type":"Wikipedia"},{"url":"https://www.w3.org/TR/curie/","name":"CURIE Syntax","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://www.wikidata.org/wiki/Q1024551","name":"Wikidata","portal":"Other"}]},"legacy_ids":["bsg-001185","bsg-s001185"],"name":"FAIRsharing record for: Compact URI","abbreviation":"CURIE","url":"https://fairsharing.org/10.25504/FAIRsharing.af21db","doi":"10.25504/FAIRsharing.af21db","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A CURIE (or Compact URI) defines a generic, abbreviated syntax for expressing Uniform Resource Identifiers (URIs). It is an abbreviated URI expressed in a compact syntax, and may be found in both XML and non-XML grammars.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Data retrieval","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":512,"relation":"undefined"}],"grants":[{"id":6540,"fairsharing_record_id":981,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:04.859Z","updated_at":"2021-09-30T09:28:04.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6541,"fairsharing_record_id":981,"organisation_id":3210,"relation":"maintains","created_at":"2021-09-30T09:28:04.891Z","updated_at":"2021-09-30T09:28:04.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":3210,"name":"W3C XHTML2 Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"960","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:43.108Z","metadata":{"doi":"10.25504/FAIRsharing.mjnypw","name":"Units Ontology","status":"ready","contacts":[{"contact_name":"George Gkoutos","contact_email":"geg18@aber.ac.uk","contact_orcid":"0000-0002-2061-091X"}],"homepage":"https://github.com/bio-ontology-research-group/unit-ontology","identifier":960,"description":"The Units Ontology (UO) models metrical units for use in conjunction with PATO. Units are basic scientific tools that render meaning to numerical data. Their standardization and formalization caters for the report, exchange, process, reproducibility and integration of quantitative measurements. The Units Ontology is an ontology currently being used for the standardized description of units of measurements.","abbreviation":"UO","support_links":[{"url":"https://github.com/bio-ontology-research-group/unit-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://code.google.com/p/unit-ontology/","name":"Google Code documentation (obsolete)","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"http://isa-tools.org","name":"ISA Tools"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UO","name":"UO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/uo.html","name":"uo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002611","bsg-s002611"],"name":"FAIRsharing record for: Units Ontology","abbreviation":"UO","url":"https://fairsharing.org/10.25504/FAIRsharing.mjnypw","doi":"10.25504/FAIRsharing.mjnypw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Units Ontology (UO) models metrical units for use in conjunction with PATO. Units are basic scientific tools that render meaning to numerical data. Their standardization and formalization caters for the report, exchange, process, reproducibility and integration of quantitative measurements. The Units Ontology is an ontology currently being used for the standardized description of units of measurements.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18255},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10876},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11817},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12010},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17988}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Mathematics","Life Science"],"domains":["Unit","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Saudi Arabia","United Kingdom","United States"],"publications":[{"id":1666,"pubmed_id":23060432,"title":"The Units Ontology: a tool for integrating units of measurement in science.","year":2012,"url":"http://doi.org/10.1093/database/bas033","authors":"Gkoutos GV,Schofield PN,Hoehndorf R","journal":"Database (Oxford)","doi":"10.1093/database/bas033","created_at":"2021-09-30T08:25:26.580Z","updated_at":"2021-09-30T08:25:26.580Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":62,"relation":"undefined"}],"grants":[{"id":6510,"fairsharing_record_id":960,"organisation_id":271,"relation":"maintains","created_at":"2021-09-30T09:28:03.698Z","updated_at":"2021-09-30T09:28:03.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":271,"name":"Bio-Ontology Research Group, KAUST, Saudi Arabia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6516,"fairsharing_record_id":960,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:03.961Z","updated_at":"2021-09-30T09:31:39.593Z","grant_id":1271,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 HG004838-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6509,"fairsharing_record_id":960,"organisation_id":1959,"relation":"maintains","created_at":"2021-09-30T09:28:03.662Z","updated_at":"2021-09-30T09:28:03.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6511,"fairsharing_record_id":960,"organisation_id":699,"relation":"maintains","created_at":"2021-09-30T09:28:03.731Z","updated_at":"2021-09-30T09:28:03.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":699,"name":"Department of Computer Science, University of Aberystwyth","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6513,"fairsharing_record_id":960,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:03.828Z","updated_at":"2021-09-30T09:28:03.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6512,"fairsharing_record_id":960,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:03.755Z","updated_at":"2021-09-30T09:31:20.790Z","grant_id":1128,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"248502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6515,"fairsharing_record_id":960,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:03.911Z","updated_at":"2021-09-30T09:28:03.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11547,"fairsharing_record_id":960,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:41.613Z","updated_at":"2024-03-21T13:58:42.985Z","grant_id":37,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54-HG004028","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"961","type":"fairsharing_records","attributes":{"created_at":"2018-09-10T21:16:23.000Z","updated_at":"2022-02-08T10:50:14.905Z","metadata":{"doi":"10.25504/FAIRsharing.b9b728","name":"Extensible Stylesheet Language Transformations","status":"ready","contacts":[],"homepage":"https://www.w3.org/TR/xslt-30/","citations":[],"identifier":961,"description":"EXtensible Stylesheet Language Transformations is an XML-based programming language developed by the World Wide Web Consortium (W3C). This specification defines the syntax and semantics of XSLT 3.0, a language designed primarily for transforming XML documents into other XML documents.","abbreviation":"XSLT","support_links":[{"url":"https://github.com/w3c/qtspecs/issues","name":"Feedback, comments, error reports","type":"Contact form"}],"year_creation":1999},"legacy_ids":["bsg-001290","bsg-s001290"],"name":"FAIRsharing record for: Extensible Stylesheet Language Transformations","abbreviation":"XSLT","url":"https://fairsharing.org/10.25504/FAIRsharing.b9b728","doi":"10.25504/FAIRsharing.b9b728","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EXtensible Stylesheet Language Transformations is an XML-based programming language developed by the World Wide Web Consortium (W3C). This specification defines the syntax and semantics of XSLT 3.0, a language designed primarily for transforming XML documents into other XML documents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6517,"fairsharing_record_id":961,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:03.994Z","updated_at":"2021-09-30T09:28:03.994Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"987","type":"fairsharing_records","attributes":{"created_at":"2016-03-21T12:59:45.000Z","updated_at":"2022-07-20T09:39:52.412Z","metadata":{"doi":"10.25504/FAIRsharing.e20vsd","name":"DatA Tag Suite","status":"ready","contacts":[{"contact_name":"Susanna Sansone","contact_email":"sa.sansone@gmail.com","contact_orcid":"0000-0001-5306-5690"}],"homepage":"https://github.com/biocaddie/WG3-MetadataSpecifications","citations":[],"identifier":987,"description":"DatA Tag Suite (DATS) is the model developed by the NIH BD2K bioCADDIE project (http://biocaddie.org) for the DataMed Data Discovery Index prototype being developed. DataMed is for data what PubMed has been for scientific literature and DATS is defined as similar to the JATS format.","abbreviation":"DATS","support_links":[{"url":"http://www.biocaddie.org/workgroup-3-group-links","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000643","bsg-s000643"],"name":"FAIRsharing record for: DatA Tag Suite","abbreviation":"DATS","url":"https://fairsharing.org/10.25504/FAIRsharing.e20vsd","doi":"10.25504/FAIRsharing.e20vsd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DatA Tag Suite (DATS) is the model developed by the NIH BD2K bioCADDIE project (http://biocaddie.org) for the DataMed Data Discovery Index prototype being developed. DataMed is for data what PubMed has been for scientific literature and DATS is defined as similar to the JATS format.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11207},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13327}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom","United States"],"publications":[{"id":1003,"pubmed_id":null,"title":"WG3-MetadataSpecifications: NIH BD2K bioCADDIE Data Discovery Index WG3 Metadata Specification v1","year":2015,"url":"http://doi.org/10.5281/zenodo.28019","authors":"WG3 Members","journal":"Zenodo","doi":"10.5281/zenodo.28019","created_at":"2021-09-30T08:24:11.004Z","updated_at":"2021-09-30T08:24:11.004Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":565,"relation":"undefined"}],"grants":[{"id":6554,"fairsharing_record_id":987,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:05.353Z","updated_at":"2021-09-30T09:29:40.002Z","grant_id":350,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U24AI117966-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1024","type":"fairsharing_records","attributes":{"created_at":"2015-06-10T10:38:01.000Z","updated_at":"2022-07-20T11:19:52.440Z","metadata":{"doi":"10.25504/FAIRsharing.hzdzq8","name":"Schema.org","status":"ready","contacts":[{"contact_name":"Community Group","contact_email":"public-schemaorg@w3.org"}],"homepage":"http://schema.org/","identifier":1024,"description":"Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet. In addition to people from the sponsoring companies, there is substantial participation by the larger web community, through public mailing lists such as public-vocabs@w3.org and through GitHub. Search engines including Bing, Google, Yahoo! and Yandex rely on schema.org markup to improve the display of search results, making it easier for people to find the right web pages. Since April 2015, the W3C Schema.org Community Group is the main forum for schema collaboration, and provides the public-schemaorg@w3.org mailing list for discussions.","abbreviation":"Schema.org","support_links":[{"url":"http://blog.schema.org","type":"Blog/News"},{"url":"https://lists.w3.org/Archives/Public/public-vocabs/","type":"Mailing list"},{"url":"https://lists.w3.org/Archives/Public/public-schemaorg/","type":"Mailing list"},{"url":"http://github.com/schemaorg/schemaorg","type":"Github"},{"url":"http://schema.org/docs/documents.html","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000593","bsg-s000593"],"name":"FAIRsharing record for: Schema.org","abbreviation":"Schema.org","url":"https://fairsharing.org/10.25504/FAIRsharing.hzdzq8","doi":"10.25504/FAIRsharing.hzdzq8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet. In addition to people from the sponsoring companies, there is substantial participation by the larger web community, through public mailing lists such as public-vocabs@w3.org and through GitHub. Search engines including Bing, Google, Yahoo! and Yandex rely on schema.org markup to improve the display of search results, making it easier for people to find the right web pages. Since April 2015, the W3C Schema.org Community Group is the main forum for schema collaboration, and provides the public-schemaorg@w3.org mailing list for discussions.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18276},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11202},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12941},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13332},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13335},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13357},{"linking_record_name":"Mapping CDC to OpenAIRE, B2find, schema.org and Dublin Core","linking_record_id":3646,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13370}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 United States (CC BY-SA 3.0 US)","licence_id":193,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/us/","link_id":233,"relation":"undefined"},{"licence_name":"schema.org Terms of Service","licence_id":730,"licence_url":"http://schema.org/docs/terms.html","link_id":232,"relation":"undefined"}],"grants":[{"id":6629,"fairsharing_record_id":1024,"organisation_id":2503,"relation":"maintains","created_at":"2021-09-30T09:28:08.146Z","updated_at":"2021-09-30T09:28:08.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":2503,"name":"Schema.org","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1025","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-01-06T09:09:26.147Z","metadata":{"doi":"10.25504/FAIRsharing.nft558","name":"Plant Diversity Ontology","status":"deprecated","contacts":[{"contact_name":"Ma Yumeng, Huang Jinxia, Liu Fenghong,Xu Zheping, Guo Jinjing, Cui Jinzhong, Sun Tan","contact_email":"openresources@mail.las.ac.cn"}],"homepage":"http://gooa.las.ac.cn/external/index.jsp","citations":[],"identifier":1025,"description":"Plant Diversity Ontology (PDO) is the outcome of the construction tasks of domain ontology of science in the project of Scientific \u0026 Technological Knowledge Organization Systems (STKOS). The structure of PDO centers on species, including micro level of molecular, cell and tissue, medium level of plant organs, species and population, and macro level of ecosystem. The classes of PDO also capture the habitat, environmental conditions and expand the general characteristics of plants, completing the instances richness for plant species, geographical, classification and morphology. Furthermore, PDO builds the relationships among species, region, morphology, plant organs, developmental stage, revealing the list of species in an area, the morphology and life form of plants, and development process of species. In sum, PDO shows a growth process or development stage of a species and its structure characteristics in particular space and time scale, realizing the description of species diversity, ecosystem diversity and genetic diversity. At present, PDO has been applied to the platform of Go to Selected Open Access Journals (GoOA) developed by National Science Library of Chinese Academy of Sciences, supporting concept retrieval and concept extension for GoOA.","abbreviation":"PDO_CAS","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDO_CAS","name":"PDO_CAS","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"The homepage for this resource does not point to the ontology itself, and no suitable homepage can be found. Please let us know if you have any new information regarding this resource."},"legacy_ids":["bsg-001072","bsg-s001072"],"name":"FAIRsharing record for: Plant Diversity Ontology","abbreviation":"PDO_CAS","url":"https://fairsharing.org/10.25504/FAIRsharing.nft558","doi":"10.25504/FAIRsharing.nft558","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Plant Diversity Ontology (PDO) is the outcome of the construction tasks of domain ontology of science in the project of Scientific \u0026 Technological Knowledge Organization Systems (STKOS). The structure of PDO centers on species, including micro level of molecular, cell and tissue, medium level of plant organs, species and population, and macro level of ecosystem. The classes of PDO also capture the habitat, environmental conditions and expand the general characteristics of plants, completing the instances richness for plant species, geographical, classification and morphology. Furthermore, PDO builds the relationships among species, region, morphology, plant organs, developmental stage, revealing the list of species in an area, the morphology and life form of plants, and development process of species. In sum, PDO shows a growth process or development stage of a species and its structure characteristics in particular space and time scale, realizing the description of species diversity, ecosystem diversity and genetic diversity. At present, PDO has been applied to the platform of Go to Selected Open Access Journals (GoOA) developed by National Science Library of Chinese Academy of Sciences, supporting concept retrieval and concept extension for GoOA.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1026","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:24:27.000Z","updated_at":"2022-07-18T15:44:35.410Z","metadata":{"doi":"10.25504/FAIRsharing.f09f1f","name":"Ontology Integration and Interoperability","status":"deprecated","contacts":[{"contact_name":"Eliza Margaretha","contact_email":"margaretha@ids-mannheim.de"}],"homepage":"https://clarin.ids-mannheim.de/standards/views/view-spec.xq;jsessionid=jztgj4dhx1r61eozukuitwsqt?id=SpecOntoIOp","citations":[],"identifier":1026,"description":"The standard provides the guidelines for ontological modularity and structuring mechanisms within an ontology.","abbreviation":"OntolOp ISO/NP 17347","support_links":[{"url":"banski@ids-mannheim.de","name":"Piotr Banski","type":"Support email"}],"year_creation":2011,"deprecation_date":"2022-07-18","deprecation_reason":"Although associated with the ISO TC 37 with the identifier ISO/NP 17347, this resource has since been abandoned by this ISO technical committee (see https://genorma.com/en/project/show/iso:proj:59599 for further details)."},"legacy_ids":["bsg-001258","bsg-s001258"],"name":"FAIRsharing record for: Ontology Integration and Interoperability","abbreviation":"OntolOp ISO/NP 17347","url":"https://fairsharing.org/10.25504/FAIRsharing.f09f1f","doi":"10.25504/FAIRsharing.f09f1f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The standard provides the guidelines for ontological modularity and structuring mechanisms within an ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1027","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-08T09:24:21.287Z","metadata":{"doi":"10.25504/FAIRsharing.ret599","name":"Syndromic Surveillance Ontology","status":"deprecated","contacts":[{"contact_name":"Anya Okhmatovskaia","contact_email":"anna.okhmatovskaia@mcgill.ca"}],"homepage":"http://surveillance.mcgill.ca/projects/sso/","citations":[],"identifier":1027,"description":"Most syndromic surveillance systems use data from ED visits, often free-text chief complaints. Classification of chief complaints into syndromes is often inconsistent, due to the lack of agreement about the concepts that define a syndrome and how individual terms or strings map to these concepts. The Syndromic Surveillance Ontology addresses this problem by formally encoding a set of consensus definitions for syndromes in terms of ED chief complaints in a standard shareable format. The goal of the project is to ensure that consensus syndrome definitions are disseminated broadly, maintained collaboratively, and incorporated easily into automated systems.","abbreviation":"SSO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SSO","name":"SSO","portal":"BioPortal"}],"deprecation_date":"2023-09-14","deprecation_reason":"The resource homepage no longer exists, and a new homepage cannot be found. The resource may still be downloaded from BioPortal, as shown in this record, however it has not been updated since 2009."},"legacy_ids":["bsg-002635","bsg-s002635"],"name":"FAIRsharing record for: Syndromic Surveillance Ontology","abbreviation":"SSO","url":"https://fairsharing.org/10.25504/FAIRsharing.ret599","doi":"10.25504/FAIRsharing.ret599","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Most syndromic surveillance systems use data from ED visits, often free-text chief complaints. Classification of chief complaints into syndromes is often inconsistent, due to the lack of agreement about the concepts that define a syndrome and how individual terms or strings map to these concepts. The Syndromic Surveillance Ontology addresses this problem by formally encoding a set of consensus definitions for syndromes in terms of ED chief complaints in a standard shareable format. The goal of the project is to ensure that consensus syndrome definitions are disseminated broadly, maintained collaboratively, and incorporated easily into automated systems.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12464}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Taxonomic classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan","United States"],"publications":[],"licence_links":[],"grants":[{"id":6631,"fairsharing_record_id":1027,"organisation_id":2669,"relation":"maintains","created_at":"2021-09-30T09:28:08.279Z","updated_at":"2021-09-30T09:28:08.279Z","grant_id":null,"is_lead":false,"saved_state":{"id":2669,"name":"Surveillance Lab, McGill University, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6632,"fairsharing_record_id":1027,"organisation_id":3115,"relation":"associated_with","created_at":"2021-09-30T09:28:08.312Z","updated_at":"2022-01-16T08:42:35.794Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":6630,"fairsharing_record_id":1027,"organisation_id":2039,"relation":"maintains","created_at":"2021-09-30T09:28:08.178Z","updated_at":"2021-09-30T09:28:08.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":2039,"name":"National Institutes of Informatics (NII), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1028","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.715Z","metadata":{"doi":"10.25504/FAIRsharing.8a7a0w","name":"verteberate Homologous Organ Groups","status":"ready","contacts":[{"contact_name":"Bgee team","contact_email":"Bgee@sib.swiss"}],"homepage":"http://bioportal.bioontology.org/ontologies/VHOG?p=summary","identifier":1028,"description":"vHOG is a multi-species anatomical ontology for the vertebrate lineage, developed as part of the Bgee project. A mapping to species-specific anatomical ontologies is also provided. This mapping represents homology-strict relationships, in the sense of HOM:0000007 historical homology. Each mapping has been manually reviewed, and we provide confidence codes and references when available.","abbreviation":"vHOG","year_creation":2011,"cross_references":[{"url":"http://www.obofoundry.org/ontology/vhog.html","name":"vhog","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000018","bsg-s000018"],"name":"FAIRsharing record for: verteberate Homologous Organ Groups","abbreviation":"vHOG","url":"https://fairsharing.org/10.25504/FAIRsharing.8a7a0w","doi":"10.25504/FAIRsharing.8a7a0w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: vHOG is a multi-species anatomical ontology for the vertebrate lineage, developed as part of the Bgee project. A mapping to species-specific anatomical ontologies is also provided. This mapping represents homology-strict relationships, in the sense of HOM:0000007 historical homology. Each mapping has been manually reviewed, and we provide confidence codes and references when available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Homologous","Organ","Life cycle stage"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":2462,"pubmed_id":22285560,"title":"vHOG, a multispecies vertebrate ontology of homologous organs groups.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts048","authors":"Niknejad A,Comte A,Parmentier G,Roux J,Bastian FB,Robinson-Rechavi M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts048","created_at":"2021-09-30T08:27:01.961Z","updated_at":"2021-09-30T08:27:01.961Z"}],"licence_links":[],"grants":[{"id":6633,"fairsharing_record_id":1028,"organisation_id":209,"relation":"maintains","created_at":"2021-09-30T09:28:08.349Z","updated_at":"2021-09-30T09:28:08.349Z","grant_id":null,"is_lead":false,"saved_state":{"id":209,"name":"BGEE administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6634,"fairsharing_record_id":1028,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:08.391Z","updated_at":"2021-09-30T09:28:08.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1029","type":"fairsharing_records","attributes":{"created_at":"2019-07-04T13:33:22.000Z","updated_at":"2022-07-20T11:38:36.540Z","metadata":{"doi":"10.25504/FAIRsharing.ba7c93","name":"CARARE Metadata Schema","status":"ready","contacts":[],"homepage":"https://pro.carare.eu/en/introduction-carare-aggregation-services/carare-metadata-schema/","citations":[],"identifier":1029,"description":"The CARARE metadata schema is a harvesting schema intended for delivering metadata about an organisation’s online collections, heritage assets and their digital resources. The strength of the schema lies with its ability to support the full range of descriptive information about monuments, building, landscape areas and their representations. The CARARE metadata schema builds on existing standards and best practice from a number of different countries in Europe and the rest of the world.","abbreviation":null,"support_links":[{"url":"https://pro.carare.eu/documents/8/the_carare_metadata_schema2.pdf","name":"The CARARE metadata schema, v.2.0","type":"Help documentation"},{"url":"https://pro.carare.eu/en/introduction-carare-aggregation-services/carare-metadata-schema/#header-3-1","name":"Schema elements","type":"Help documentation"},{"url":"https://pro.carare.eu/en/introduction-carare-aggregation-services/carare-metadata-schema/#header-2-1","name":"Schema Background","type":"Help documentation"},{"url":"https://pro.carare.eu/documents/10/carare_metadata_schema_outline_v1.1_1_.pdf","name":"https://pro.carare.eu/documents/10/carare_metadata_schema_outline_v1.1_1_.pdf","type":"Help documentation"}]},"legacy_ids":["bsg-001386","bsg-s001386"],"name":"FAIRsharing record for: CARARE Metadata Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ba7c93","doi":"10.25504/FAIRsharing.ba7c93","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CARARE metadata schema is a harvesting schema intended for delivering metadata about an organisation’s online collections, heritage assets and their digital resources. The strength of the schema lies with its ability to support the full range of descriptive information about monuments, building, landscape areas and their representations. The CARARE metadata schema builds on existing standards and best practice from a number of different countries in Europe and the rest of the world.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Archaeology","Culture","Architecture","History","Construction History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Ireland"],"publications":[{"id":3206,"pubmed_id":null,"title":"CARARE 2.0: A metadata schema for 3D cultural objects","year":2014,"url":"http://dx.doi.org/10.1109/DigitalHeritage.2013.6744745","authors":"D'Andrea, Andrea; Fernie, Kate; ","journal":"2013 Digital Heritage International Congress (DigitalHeritage)","doi":"10.1109/digitalheritage.2013.6744745","created_at":"2022-02-01T14:59:05.270Z","updated_at":"2022-02-01T14:59:05.270Z"}],"licence_links":[],"grants":[{"id":6635,"fairsharing_record_id":1029,"organisation_id":372,"relation":"maintains","created_at":"2021-09-30T09:28:08.428Z","updated_at":"2021-09-30T09:28:08.428Z","grant_id":null,"is_lead":true,"saved_state":{"id":372,"name":"CARARE, Dublin, Ireland","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1012","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:54:17.452Z","metadata":{"doi":"10.25504/FAIRsharing.4dvtcz","name":"Cell Line Ontology","status":"ready","contacts":[{"contact_name":"Sirarat Sarntivijai","contact_email":"Sirarat.Sarntivijai@fda.hhs.gov","contact_orcid":"0000-0002-2548-641X"}],"homepage":"https://github.com/CLO-ontology/CLO","citations":[{"doi":"10.1186/2041-1480-5-37","pubmed_id":25852852,"publication_id":980}],"identifier":1012,"description":"The Cell Line Ontology (CLO) is a community-driven ontology that is developed to standardize and integrate cell line information and support computer-assisted reasoning. Thousands of cell lines have been artificially developed and used for different applications. Integration of data from multiple sources is a challenge, confounded by lack of consistent naming conventions, contamination of cell lines, and provision of the same cell lines by multiple commercial sources but with different biological attributes. CLO is a community-based effort to represent all cell lines in a standard ontology approach.","abbreviation":"CLO","support_links":[{"url":"Yongqunh@med.umich.edu","name":"Yongqunh@med.umich.edu","type":"Support email"},{"url":"https://github.com/CLO-ontology/CLO/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://groups.google.com/forum/#!forum/clo-discuss","name":"Google Groups Forum","type":"Forum"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CLO","name":"CLO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/clo.html","name":"clo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002627","bsg-s002627"],"name":"FAIRsharing record for: Cell Line Ontology","abbreviation":"CLO","url":"https://fairsharing.org/10.25504/FAIRsharing.4dvtcz","doi":"10.25504/FAIRsharing.4dvtcz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Line Ontology (CLO) is a community-driven ontology that is developed to standardize and integrate cell line information and support computer-assisted reasoning. Thousands of cell lines have been artificially developed and used for different applications. Integration of data from multiple sources is a challenge, confounded by lack of consistent naming conventions, contamination of cell lines, and provision of the same cell lines by multiple commercial sources but with different biological attributes. CLO is a community-based effort to represent all cell lines in a standard ontology approach.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18257},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10880},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11282},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12029},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16927}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Cell Biology"],"domains":["Cell line","Cell","Morphology"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":980,"pubmed_id":25852852,"title":"CLO: The cell line ontology.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-37","authors":"Sarntivijai S,Lin Y,Xiang Z,Meehan TF,Diehl AD,Vempati UD,Schurer SC,Pang C,Malone J,Parkinson H,Liu Y,Takatsuki T,Saijo K,Masuya H,Nakamura Y,Brush MH,Haendel MA,Zheng J,Stoeckert CJ,Peters B,Mungall CJ,Carey TE,States DJ,Athey BD,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-37","created_at":"2021-09-30T08:24:08.446Z","updated_at":"2021-09-30T08:24:08.446Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1564,"relation":"undefined"}],"grants":[{"id":6602,"fairsharing_record_id":1012,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:28:07.166Z","updated_at":"2021-09-30T09:28:07.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6603,"fairsharing_record_id":1012,"organisation_id":395,"relation":"maintains","created_at":"2021-09-30T09:28:07.206Z","updated_at":"2021-09-30T09:28:07.206Z","grant_id":null,"is_lead":true,"saved_state":{"id":395,"name":"Cell Line Ontology (CLO) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6604,"fairsharing_record_id":1012,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:28:07.249Z","updated_at":"2021-09-30T09:32:27.162Z","grant_id":1626,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"200754 Gen2Phen","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6596,"fairsharing_record_id":1012,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:06.927Z","updated_at":"2021-09-30T09:28:06.927Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6598,"fairsharing_record_id":1012,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:28:06.998Z","updated_at":"2021-09-30T09:28:06.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6600,"fairsharing_record_id":1012,"organisation_id":250,"relation":"maintains","created_at":"2021-09-30T09:28:07.069Z","updated_at":"2021-09-30T09:28:07.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6601,"fairsharing_record_id":1012,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:07.116Z","updated_at":"2021-09-30T09:29:34.586Z","grant_id":308,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R24OD011883","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6597,"fairsharing_record_id":1012,"organisation_id":1965,"relation":"funds","created_at":"2021-09-30T09:28:06.959Z","updated_at":"2021-09-30T09:29:51.836Z","grant_id":440,"is_lead":false,"saved_state":{"id":1965,"name":"National Center for Integrative Biomedical Informatics (NCBCS), Ann Arbor, MI, USA","grant":"U54 DA021519","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6599,"fairsharing_record_id":1012,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:28:07.036Z","updated_at":"2021-09-30T09:32:28.020Z","grant_id":1632,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"grants 1R01AI081062 (YH)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8470,"fairsharing_record_id":1012,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:47.569Z","updated_at":"2021-09-30T09:32:47.624Z","grant_id":1780,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01GM093132-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1013","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.505Z","metadata":{"doi":"10.25504/FAIRsharing.xeh248","name":"Ontology for Genetic Disease Investigations","status":"ready","contacts":[{"contact_name":"Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"https://code.google.com/archive/p/ogsf/","identifier":1013,"description":"This ontology is used to model scientific investigation, especially Genome-Wide Association Studies (GWAS), to discover genetic susceptibility factors to disease, such as Diabetes. It models the genetic variants, polymorphisms, statistical measurement, populations and other elements that are essential to determine a genetic susceptibility factor in GWAS study. It must be used with other two ontologies, in the case of Diabetes: Ontology of Geographical Region (OGR) and Ontology of Glucose Metabolism (OGMD). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","abbreviation":"OGDI","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php#ontology","name":"He Group Ontology page","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGDI","name":"OGDI","portal":"BioPortal"}]},"legacy_ids":["bsg-002613","bsg-s002613"],"name":"FAIRsharing record for: Ontology for Genetic Disease Investigations","abbreviation":"OGDI","url":"https://fairsharing.org/10.25504/FAIRsharing.xeh248","doi":"10.25504/FAIRsharing.xeh248","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is used to model scientific investigation, especially Genome-Wide Association Studies (GWAS), to discover genetic susceptibility factors to disease, such as Diabetes. It models the genetic variants, polymorphisms, statistical measurement, populations and other elements that are essential to determine a genetic susceptibility factor in GWAS study. It must be used with other two ontologies, in the case of Diabetes: Ontology of Geographical Region (OGR) and Ontology of Glucose Metabolism (OGMD). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Statistics","Biomedical Science"],"domains":["Genetic polymorphism","Assay","Genome","Sequence variant","Genome-wide association study","Diabetes mellitus"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":449,"pubmed_id":24963371,"title":"The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-19","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-19","created_at":"2021-09-30T08:23:08.751Z","updated_at":"2021-09-30T08:23:08.751Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1600,"relation":"undefined"}],"grants":[{"id":6605,"fairsharing_record_id":1013,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:07.286Z","updated_at":"2021-09-30T09:28:07.286Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6606,"fairsharing_record_id":1013,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:07.323Z","updated_at":"2021-09-30T09:30:30.674Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1014","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:43.897Z","metadata":{"doi":"10.25504/FAIRsharing.zsnv69","name":"Multiple alignment","status":"deprecated","contacts":[{"contact_name":"Julie Thompson","contact_email":"julie@igbmc.u-strasbg.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/1026","identifier":1014,"description":"MAO is an ontology for multiple alignments of nucleic and protein sequences. MAO is designed to improve interoperation and data sharing between different alignment protocols for the construction of a high quality, reliable multiple alignment in order to facilitate knowledge extraction and the presentation of the most pertinent information to the biologist.","abbreviation":"MAO","cross_references":[{"url":"http://www.obofoundry.org/ontology/mao.html","name":"mao","portal":"OBO Foundry"}],"deprecation_date":"2016-05-06","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found. The OBO Foundry has listed this resource as deprecated."},"legacy_ids":["bsg-002608","bsg-s002608"],"name":"FAIRsharing record for: Multiple alignment","abbreviation":"MAO","url":"https://fairsharing.org/10.25504/FAIRsharing.zsnv69","doi":"10.25504/FAIRsharing.zsnv69","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MAO is an ontology for multiple alignments of nucleic and protein sequences. MAO is designed to improve interoperation and data sharing between different alignment protocols for the construction of a high quality, reliable multiple alignment in order to facilitate knowledge extraction and the presentation of the most pertinent information to the biologist.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Nucleic acid sequence","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":984,"pubmed_id":16043635,"title":"MAO: a Multiple Alignment Ontology for nucleic acid and protein sequences.","year":2005,"url":"http://doi.org/10.1093/nar/gki735","authors":"Thompson JD,Holbrook SR,Katoh K,Koehl P,Moras D,Westhof E,Poch O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki735","created_at":"2021-09-30T08:24:08.894Z","updated_at":"2021-09-30T11:28:56.534Z"}],"licence_links":[],"grants":[{"id":6608,"fairsharing_record_id":1014,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:28:07.404Z","updated_at":"2021-09-30T09:28:07.404Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6607,"fairsharing_record_id":1014,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:28:07.365Z","updated_at":"2021-09-30T09:28:07.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1015","type":"fairsharing_records","attributes":{"created_at":"2018-04-09T15:22:43.000Z","updated_at":"2022-04-11T12:07:33.800Z","metadata":{"doi":"10.25504/FAIRsharing.kK7dbW","name":"Neuroscience Information Exchange Format","status":"ready","contacts":[{"contact_name":"Thomas Wachtler","contact_email":"info@g-node.org","contact_orcid":"0000-0003-2015-6590"}],"homepage":"https://g-node.github.io/nix/","identifier":1015,"description":"NIX defines a data model for annotated scientific datasets, i.e. data together with metadata, and a corresponding file format based on HDF5 for storing and sharing such datasets. In particular, this format was developed for storing electrophysiology and other neuroscience data together with their metadata. However, the data model is also able to represent other kinds of data used in the field e.g. image data or image stacks.","abbreviation":"NIX","support_links":[{"url":"nix@g-node.org","name":"NIX support","type":"Support email"},{"url":"http://g-node.github.io/nixpy/","name":"NIX Python Binding Documentation and Tutorials","type":"Github"}],"year_creation":2013,"associated_tools":[{"url":"https://github.com/G-Node/nixpy/releases/latest","name":"NIX Python bindings latest"},{"url":"https://github.com/G-Node/nix-mx/releases/latest","name":"NIX Matlab bindings latest"},{"url":"https://github.com/bendalab/NixView/releases/tag/version_0.1","name":"NIX Viewer 0.1"}]},"legacy_ids":["bsg-001169","bsg-s001169"],"name":"FAIRsharing record for: Neuroscience Information Exchange Format","abbreviation":"NIX","url":"https://fairsharing.org/10.25504/FAIRsharing.kK7dbW","doi":"10.25504/FAIRsharing.kK7dbW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIX defines a data model for annotated scientific datasets, i.e. data together with metadata, and a corresponding file format based on HDF5 for storing and sharing such datasets. In particular, this format was developed for storing electrophysiology and other neuroscience data together with their metadata. However, the data model is also able to represent other kinds of data used in the field e.g. image data or image stacks.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18310},{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12387}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Health Science","Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics"],"countries":["Germany"],"publications":[{"id":2071,"pubmed_id":null,"title":"File format and library for neuroscience data and metadata","year":2014,"url":"http://doi.org/10.3389/conf.fninf.2014.18.00027","authors":"Stoewer A, Kellner CJ, Benda J, Wachtler T, Grewe J","journal":"Front. Neuroinform. Conference Abstract: Neuroinformatics 2014","doi":"10.3389/conf.fninf.2014.18.00027","created_at":"2021-09-30T08:26:13.482Z","updated_at":"2021-09-30T08:26:13.482Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2344,"relation":"undefined"},{"licence_name":"NIX-specific BSD 3-clause license","licence_id":591,"licence_url":"https://github.com/G-Node/nix/blob/master/LICENSE","link_id":2343,"relation":"undefined"}],"grants":[{"id":6610,"fairsharing_record_id":1015,"organisation_id":1730,"relation":"maintains","created_at":"2021-09-30T09:28:07.464Z","updated_at":"2021-09-30T09:28:07.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":1730,"name":"Ludwig-Maximilians-Universitt Mnchen, Department Biologie II, Division of Neurobiology, Munich, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9345,"fairsharing_record_id":1015,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.923Z","updated_at":"2022-04-11T12:07:31.941Z","grant_id":1519,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ1302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9370,"fairsharing_record_id":1015,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.774Z","updated_at":"2022-04-11T12:07:33.790Z","grant_id":1587,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ0801","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1016","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:08:17.971Z","metadata":{"doi":"10.25504/FAIRsharing.4gwycd","name":"Just Enough Results Model Ontology","status":"ready","contacts":[{"contact_name":"Katy Wolstencroft","contact_email":"kwolstencroft@cs.man.ac.uk","contact_orcid":"0000-0002-1279-5133"}],"homepage":"https://jermontology.org/","identifier":1016,"description":"The JERM provides a framework to describe SEEK assets and the relationships between assets and the experiments that created them. All assets are related to the scientists that created them and the projects they originate from, so the model captures provenance information as well as physical links between assets. JERM definitions for each type of data in SEEK is different, but highly overlapping and they comply with existing minimal information guidelines where they are available.","abbreviation":"JERM","support_links":[{"url":"https://fair-dom.org/contact","name":"Contact","type":"Contact form"},{"url":"stuart.owen@manchester.ac.uk","name":"Stuart Owen","type":"Support email"},{"url":"olga.krebs@h-its.org","name":"Olga Krebs","type":"Support email"},{"url":"https://github.com/FAIRdom/JERMOntology/issues","name":"GitHub Issue","type":"Github"},{"url":"https://github.com/FAIRdom/JERMOntology","name":"GitHub Project","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/JERM","name":"JERM","portal":"BioPortal"}]},"legacy_ids":["bsg-002663","bsg-s002663"],"name":"FAIRsharing record for: Just Enough Results Model Ontology","abbreviation":"JERM","url":"https://fairsharing.org/10.25504/FAIRsharing.4gwycd","doi":"10.25504/FAIRsharing.4gwycd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JERM provides a framework to describe SEEK assets and the relationships between assets and the experiments that created them. All assets are related to the scientists that created them and the projects they originate from, so the model captures provenance information as well as physical links between assets. JERM definitions for each type of data in SEEK is different, but highly overlapping and they comply with existing minimal information guidelines where they are available.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11171}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Experimental measurement","Biological sample","Assay","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1692,"relation":"undefined"}],"grants":[{"id":6612,"fairsharing_record_id":1016,"organisation_id":3078,"relation":"maintains","created_at":"2021-09-30T09:28:07.518Z","updated_at":"2021-09-30T09:28:07.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":3078,"name":"University of Leiden, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6615,"fairsharing_record_id":1016,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:07.628Z","updated_at":"2021-09-30T09:28:07.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6613,"fairsharing_record_id":1016,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:07.548Z","updated_at":"2021-09-30T09:28:07.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6614,"fairsharing_record_id":1016,"organisation_id":1231,"relation":"maintains","created_at":"2021-09-30T09:28:07.590Z","updated_at":"2021-09-30T09:28:07.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":1231,"name":"Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9364,"fairsharing_record_id":1016,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.297Z","updated_at":"2022-04-11T12:07:33.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1005","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:43:47.000Z","updated_at":"2023-09-29T11:54:58.289Z","metadata":{"doi":"10.25504/FAIRsharing.0ade3e","name":"Document management -- Electronic document file format for long-term preservation -- Part 1: Use of PDF 1.4 (PDF/A-1)","status":"ready","contacts":[{"contact_name":"Betsy Fanning","contact_email":"betsy.fanning@3dPDFconsortium.org"}],"homepage":"https://www.iso.org/standard/38920.html","citations":[],"identifier":1005,"description":"ISO 19005-1:2005 specifies how to use the Portable Document Format (PDF) 1.4 for long-term preservation of electronic documents. It is applicable to documents containing combinations of character, raster and vector data.","abbreviation":"ISO 19005-1:2005","support_links":[{"url":"http://www.pdf-tools.com/public/downloads/whitepapers/Whitepaper-PDFA-Standard-ISO-19005-US.pdf","name":"document","type":"Help documentation"},{"url":"https://www.iso.org/contents/data/standard/03/89/38920.detail.rss","name":"RSS Feed: Updates","type":"Blog/News"}],"year_creation":2005},"legacy_ids":["bsg-001259","bsg-s001259"],"name":"FAIRsharing record for: Document management -- Electronic document file format for long-term preservation -- Part 1: Use of PDF 1.4 (PDF/A-1)","abbreviation":"ISO 19005-1:2005","url":"https://fairsharing.org/10.25504/FAIRsharing.0ade3e","doi":"10.25504/FAIRsharing.0ade3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19005-1:2005 specifies how to use the Portable Document Format (PDF) 1.4 for long-term preservation of electronic documents. It is applicable to documents containing combinations of character, raster and vector data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Resource metadata","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["Data persistence"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":452,"relation":"undefined"}],"grants":[{"id":10922,"fairsharing_record_id":1005,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:14:03.206Z","updated_at":"2023-09-27T14:14:03.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6585,"fairsharing_record_id":1005,"organisation_id":1525,"relation":"maintains","created_at":"2021-09-30T09:28:06.535Z","updated_at":"2021-09-30T09:28:06.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1006","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:40.160Z","metadata":{"doi":"10.25504/FAIRsharing.x81wz8","name":"Healthcare Common Procedure Coding System","status":"ready","contacts":[{"contact_name":"Cynthia Hake","contact_email":"Cynthia.Hake@cms.hhs.gov"}],"homepage":"https://www.cms.gov/medicare/coding/medhcpcsgeninfo/index.html","identifier":1006,"description":"Each year, in the United States, health care insurers process over 5 billion claims for payment. For Medicare and other health insurance programs to ensure that these claims are processed in an orderly and consistent manner, standardized coding systems are essential. The HCPCS is divided into two principal subsystems, referred to as level I and level II of the HCPCS. Level I of the HCPCS is comprised of CPT (Current Procedural Terminology), a numeric coding system maintained by the American Medical Association (AMA). Level II of the HCPCS is a standardized coding system that is used primarily to identify products, supplies, and services not included in the CPT codes, such as ambulance services and durable medical equipment, prosthetics, orthotics, and supplies (DMEPOS) when used outside a physician's office.","abbreviation":"HCPCS","support_links":[{"url":"https://www.cms.gov/Medicare/Coding/MedHCPCSGenInfo/HCPCS_Coding_Questions.html","name":"HCPCS Coding Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/MLNProducts/Downloads/How-To-Use-NCCI-Tools.pdf","type":"Help documentation"},{"url":"https://www.cms.gov/Medicare/Coding/MedHCPCSGenInfo/HCPCSPublicMeetings.html","name":"HCPCS Public Meetings","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HCPCS","name":"HCPCS","portal":"BioPortal"}]},"legacy_ids":["bsg-002684","bsg-s002684"],"name":"FAIRsharing record for: Healthcare Common Procedure Coding System","abbreviation":"HCPCS","url":"https://fairsharing.org/10.25504/FAIRsharing.x81wz8","doi":"10.25504/FAIRsharing.x81wz8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Each year, in the United States, health care insurers process over 5 billion claims for payment. For Medicare and other health insurance programs to ensure that these claims are processed in an orderly and consistent manner, standardized coding systems are essential. The HCPCS is divided into two principal subsystems, referred to as level I and level II of the HCPCS. Level I of the HCPCS is comprised of CPT (Current Procedural Terminology), a numeric coding system maintained by the American Medical Association (AMA). Level II of the HCPCS is a standardized coding system that is used primarily to identify products, supplies, and services not included in the CPT codes, such as ambulance services and durable medical equipment, prosthetics, orthotics, and supplies (DMEPOS) when used outside a physician's office.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Business Administration","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6586,"fairsharing_record_id":1006,"organisation_id":443,"relation":"maintains","created_at":"2021-09-30T09:28:06.571Z","updated_at":"2021-09-30T09:28:06.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":443,"name":"Centers for Medicare \u0026 Medicaid Services (CMS), Department of Health and Human Services (HHS), Baltimore, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1007","type":"fairsharing_records","attributes":{"created_at":"2021-06-01T21:32:12.000Z","updated_at":"2024-06-06T08:16:22.093Z","metadata":{"doi":"10.25504/FAIRsharing.5d2dbc","name":"Plasma Metadata Schema","status":"ready","contacts":[{"contact_name":"Markus Becker","contact_email":"markus.becker@inp-greifswald.de","contact_orcid":"0000-0001-9324-3236"}],"homepage":"https://www.plasma-mds.org","citations":[{"doi":"10.1038/s41597-020-00771-0","pubmed_id":33335096,"publication_id":2357}],"identifier":1007,"description":"The Plasma Metadata Schema is a list of core metadata properties chosen for the accurate and consistent description of research data in the field of low-temperature plasma physics and plasma medicine.","abbreviation":"Plasma-MDS","support_links":[{"url":"https://github.com/plasma-mds/plasma-metadata-schema","type":"Github"}],"year_creation":2019},"legacy_ids":["bsg-001614","bsg-s001614"],"name":"FAIRsharing record for: Plasma Metadata Schema","abbreviation":"Plasma-MDS","url":"https://fairsharing.org/10.25504/FAIRsharing.5d2dbc","doi":"10.25504/FAIRsharing.5d2dbc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plasma Metadata Schema is a list of core metadata properties chosen for the accurate and consistent description of research data in the field of low-temperature plasma physics and plasma medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Atomic, Molecular, Optical and Plasma Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Plasma Physics"],"countries":["Germany"],"publications":[{"id":2357,"pubmed_id":33335096,"title":"Plasma-MDS, a metadata schema for plasma science with examples from plasma technology.","year":2020,"url":"http://doi.org/10.1038/s41597-020-00771-0","authors":"Steffen Franke, Lucian Paulet, Jan Schafer, Deborah O'Connell, Markus M. Becker","journal":"Sci. Data","doi":"10.1038/s41597-020-00771-0","created_at":"2021-09-30T08:26:49.753Z","updated_at":"2021-09-30T08:26:49.753Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":347,"relation":"undefined"},{"licence_name":"Plasma-MDS Privacy Policy","licence_id":930,"licence_url":"https://www.plasma-mds.org/policy.html","link_id":2666,"relation":"applies_to_content"},{"licence_name":"Plasma-NDS Legal Notice","licence_id":931,"licence_url":"https://www.plasma-mds.org/legal.html","link_id":2665,"relation":"applies_to_content"}],"grants":[{"id":10033,"fairsharing_record_id":1007,"organisation_id":2471,"relation":"associated_with","created_at":"2022-10-13T09:43:41.249Z","updated_at":"2022-10-13T09:43:41.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":2471,"name":"Ruhr-Universitat Bochum","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10034,"fairsharing_record_id":1007,"organisation_id":749,"relation":"funds","created_at":"2022-10-13T09:43:41.355Z","updated_at":"2022-10-13T09:43:41.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10035,"fairsharing_record_id":1007,"organisation_id":1698,"relation":"associated_with","created_at":"2022-10-13T09:43:41.462Z","updated_at":"2022-10-13T09:43:41.462Z","grant_id":null,"is_lead":false,"saved_state":{"id":1698,"name":"Leibniz Institute for Plasma Science and Technology","types":["Research institute"],"is_lead":false,"relation":"associated_with"}},{"id":9365,"fairsharing_record_id":1007,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.349Z","updated_at":"2022-04-11T12:07:33.367Z","grant_id":24,"is_lead":false,"saved_state":{"id":333,"name":"Federal Ministry of Education and Research","grant":"16QK03A","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9371,"fairsharing_record_id":1007,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.857Z","updated_at":"2022-04-11T12:07:33.873Z","grant_id":1677,"is_lead":false,"saved_state":{"id":333,"name":"Federal Ministry of Education and Research","grant":"16FDM005","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1008","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.448Z","metadata":{"doi":"10.25504/FAIRsharing.rvssy8","name":"Terminology of Anatomy of Human Histology","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1535","identifier":1008,"description":"\"Terminology of Anatomy of Human Histology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1535. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Histology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"TAHH","deprecation_date":"2016-05-05","deprecation_reason":"This resource has been deprecated."},"legacy_ids":["bsg-002689","bsg-s002689"],"name":"FAIRsharing record for: Terminology of Anatomy of Human Histology","abbreviation":"TAHH","url":"https://fairsharing.org/10.25504/FAIRsharing.rvssy8","doi":"10.25504/FAIRsharing.rvssy8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Terminology of Anatomy of Human Histology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1535. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Histology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Biomedical Science"],"domains":["Histology"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[],"grants":[{"id":6588,"fairsharing_record_id":1008,"organisation_id":3057,"relation":"undefined","created_at":"2021-09-30T09:28:06.655Z","updated_at":"2021-09-30T09:28:06.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":3057,"name":"University of Fribourg, Switzerland","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1009","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T19:45:16.000Z","updated_at":"2023-09-29T11:54:58.898Z","metadata":{"doi":"10.25504/FAIRsharing.8fe1f1","name":"Language resource management -- Word segmentation of written texts -- Part 1: Basic concepts and general principles","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/41665.html","citations":[],"identifier":1009,"description":"ISO 24614-1:2010 presents the basic concepts and general principles of word segmentation, and provides language-independent guidelines to enable written texts to be segmented, in a reliable and reproducible manner, into word segmentation units (WSU). The many applications and fields that need to segment texts into words — and thus to which ISO 24614-1:2010 can be applied — include translation, content management, speech technologies, computational linguistics and lexicography. There are two additional parts to this standard.","abbreviation":"ISO 24614-1:2010","support_links":[{"url":"https://www.iso.org/contents/data/standard/04/16/41665.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001283","bsg-s001283"],"name":"FAIRsharing record for: Language resource management -- Word segmentation of written texts -- Part 1: Basic concepts and general principles","abbreviation":"ISO 24614-1:2010","url":"https://fairsharing.org/10.25504/FAIRsharing.8fe1f1","doi":"10.25504/FAIRsharing.8fe1f1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24614-1:2010 presents the basic concepts and general principles of word segmentation, and provides language-independent guidelines to enable written texts to be segmented, in a reliable and reproducible manner, into word segmentation units (WSU). The many applications and fields that need to segment texts into words — and thus to which ISO 24614-1:2010 can be applied — include translation, content management, speech technologies, computational linguistics and lexicography. There are two additional parts to this standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Database Management","Linguistics"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":458,"relation":"undefined"}],"grants":[{"id":6589,"fairsharing_record_id":1009,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:06.693Z","updated_at":"2021-09-30T09:28:06.693Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10926,"fairsharing_record_id":1009,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:17:33.191Z","updated_at":"2023-09-27T14:17:33.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1010","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:45.000Z","updated_at":"2024-03-21T13:58:12.934Z","metadata":{"doi":"10.25504/FAIRsharing.72mafs","name":"LINCS Pilot Phase 1 Metadata Standards: Antibody Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":1010,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor).","abbreviation":"LINCS 1: Antibody Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_AntibodyReagents_Metadata_Release_Oct-12-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Antibody Reagents standard (https://biosharing.org/bsg-s000657) and as such has been superseded by this standard."},"legacy_ids":["bsg-000667","bsg-s000667"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Antibody Reagents","abbreviation":"LINCS 1: Antibody Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.72mafs","doi":"10.25504/FAIRsharing.72mafs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor).","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11898}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6591,"fairsharing_record_id":1010,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:06.749Z","updated_at":"2021-09-30T09:28:06.749Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11543,"fairsharing_record_id":1010,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:12.899Z","updated_at":"2024-03-21T13:58:12.899Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"999","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-03T10:55:23.942Z","metadata":{"doi":"10.25504/FAIRsharing.yr61md","name":"CDISC Define eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/define-xml","citations":[],"identifier":999,"description":"Define-XML transmits metadata that describes any tabular dataset structure. When used with the CDISC content standards, it provides the metadata for human and animal model datasets using the SDTM and/or SEND standards and analysis datasets using ADaM. Define-XML is required by the United States Food and Drug Administration (FDA) and the Japanese Pharmaceuticals and Medical Devices Agency (PMDA) for every study in each electronic submission to inform the regulators which datasets, variables, controlled terms, and other specified metadata were used.","abbreviation":"CDISC Define-XML","support_links":[{"url":"https://www.cdisc.org/education/course/define-xml","name":"Define-XML","type":"Training documentation"}]},"legacy_ids":["bsg-000116","bsg-s000116"],"name":"FAIRsharing record for: CDISC Define eXtensible Markup Language","abbreviation":"CDISC Define-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.yr61md","doi":"10.25504/FAIRsharing.yr61md","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Define-XML transmits metadata that describes any tabular dataset structure. When used with the CDISC content standards, it provides the metadata for human and animal model datasets using the SDTM and/or SEND standards and analysis datasets using ADaM. Define-XML is required by the United States Food and Drug Administration (FDA) and the Japanese Pharmaceuticals and Medical Devices Agency (PMDA) for every study in each electronic submission to inform the regulators which datasets, variables, controlled terms, and other specified metadata were used.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17393},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11275},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11807},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11975},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12423}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6575,"fairsharing_record_id":999,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:06.189Z","updated_at":"2021-09-30T09:28:06.189Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6573,"fairsharing_record_id":999,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:28:06.072Z","updated_at":"2021-09-30T09:28:06.072Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6574,"fairsharing_record_id":999,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:06.109Z","updated_at":"2021-09-30T09:28:06.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6576,"fairsharing_record_id":999,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:28:06.227Z","updated_at":"2021-09-30T09:28:06.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1000","type":"fairsharing_records","attributes":{"created_at":"2018-08-14T22:43:48.000Z","updated_at":"2023-09-29T11:55:03.601Z","metadata":{"name":"Management of terminology resources -- Data category specifications","status":"in_development","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/69550.html","citations":[],"identifier":1000,"description":"ISO 12620 is under development, with its previously-releases version 12620:2009 now withdrawn. ISO 12620 will provide similar guidelines to the earlier version, which dealt with constraints related to the implementation of a Data Category Registry (DCR) applicable to all types of language resources, for example, terminological, lexicographical, corpus-based, machine translation, etc. It specifies mechanisms for creating, selecting and maintaining data categories, as well as an interchange format for representing them.","abbreviation":"ISO/PRF 12620","support_links":[{"url":"https://www.iso.org/standard/37243.html","name":"Previous (ISO 12620:2009) version","type":"Help documentation"},{"url":"https://www.iso.org/contents/data/standard/06/95/69550.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1999},"legacy_ids":["bsg-001235","bsg-s001235"],"name":"FAIRsharing record for: Management of terminology resources -- Data category specifications","abbreviation":"ISO/PRF 12620","url":"https://fairsharing.org/fairsharing_records/1000","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 12620 is under development, with its previously-releases version 12620:2009 now withdrawn. ISO 12620 will provide similar guidelines to the earlier version, which dealt with constraints related to the implementation of a Data Category Registry (DCR) applicable to all types of language resources, for example, terminological, lexicographical, corpus-based, machine translation, etc. It specifies mechanisms for creating, selecting and maintaining data categories, as well as an interchange format for representing them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Resource metadata","Cognition"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Switzerland","Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":927,"relation":"undefined"}],"grants":[{"id":6577,"fairsharing_record_id":1000,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:06.263Z","updated_at":"2021-09-30T09:28:06.263Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10948,"fairsharing_record_id":1000,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:52:51.914Z","updated_at":"2023-09-27T14:52:51.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1001","type":"fairsharing_records","attributes":{"created_at":"2018-08-12T09:09:29.000Z","updated_at":"2022-02-08T10:47:19.575Z","metadata":{"doi":"10.25504/FAIRsharing.9682e6","name":"Codes for the Human Analysis of Transcripts","status":"ready","contacts":[{"contact_name":"Brian MacWhiney","contact_email":"macw@cmu.edu"}],"homepage":"https://talkbank.org/manuals/CHAT.pdf","citations":[],"identifier":1001,"description":"Codes for the Human Analysis of Transcripts (CHAT) is a common transcriptional format for children's language transcription. CHAT is supported by many tools used in child language research. The CHAT system provides a standardized format for producing computerized transcripts of face-to-face conversational interactions. These interactions may involve children and parents, doctors and patients, or teachers and second-language learners. Despite the differences between these interactions, there are enough common features to allow for the creation of a single general transcription system. T","abbreviation":"CHAT","support_links":[{"url":"https://youtu.be/kUq33_KapgI","name":"Creating a CHAT file from scratch","type":"Help documentation"},{"url":"https://childes.talkbank.org/","name":"CHILDES Resources","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001231","bsg-s001231"],"name":"FAIRsharing record for: Codes for the Human Analysis of Transcripts","abbreviation":"CHAT","url":"https://fairsharing.org/10.25504/FAIRsharing.9682e6","doi":"10.25504/FAIRsharing.9682e6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Codes for the Human Analysis of Transcripts (CHAT) is a common transcriptional format for children's language transcription. CHAT is supported by many tools used in child language research. The CHAT system provides a standardized format for producing computerized transcripts of face-to-face conversational interactions. These interactions may involve children and parents, doctors and patients, or teachers and second-language learners. Despite the differences between these interactions, there are enough common features to allow for the creation of a single general transcription system. T","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation","Cognition","Transcript"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":831,"relation":"undefined"}],"grants":[{"id":6578,"fairsharing_record_id":1001,"organisation_id":2753,"relation":"maintains","created_at":"2021-09-30T09:28:06.300Z","updated_at":"2021-09-30T09:28:06.300Z","grant_id":null,"is_lead":true,"saved_state":{"id":2753,"name":"The CHILDES Project, Pittsburg, United States","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6579,"fairsharing_record_id":1001,"organisation_id":377,"relation":"maintains","created_at":"2021-09-30T09:28:06.333Z","updated_at":"2021-09-30T09:28:06.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":377,"name":"Carnegie Mellon University, Pittsburg, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1002","type":"fairsharing_records","attributes":{"created_at":"2018-09-10T20:49:05.000Z","updated_at":"2022-07-20T09:06:39.429Z","metadata":{"name":"W3C XML Schema Definition Language Part 1: Structures","status":"ready","contacts":[{"contact_name":"Shudi (Sandy) Gao","contact_email":"sandygao@ca.ibm.com"}],"homepage":"https://www.w3.org/TR/xmlschema11-1/","identifier":1002,"description":"XML Schema Definition Language (XSD): Structures is to define the nature of XSD schemas and their component parts, provide an inventory of XML markup constructs with which to represent schemas, and define the application of schemas to XML documents. XML Schema 1.1 (in two parts) is a W3C Recommendation. It is intended to be mostly compatible with XML Schema 1.0 and to have approximately the same scope, but also to fix bugs and make whatever improvements we can, consistent with the constraints on scope and compatibility. The two parts are: XML Schema 1.1 Part 2: Datatypes, and XML Schema 1.1 Part 1: Structures.","abbreviation":"XSD","support_links":[{"url":"www-xml-schema-comments@w3.org","name":"W3C XML Schema Comments","type":"Support email"}],"year_creation":2001},"legacy_ids":["bsg-001288","bsg-s001288"],"name":"FAIRsharing record for: W3C XML Schema Definition Language Part 1: Structures","abbreviation":"XSD","url":"https://fairsharing.org/fairsharing_records/1002","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Schema Definition Language (XSD): Structures is to define the nature of XSD schemas and their component parts, provide an inventory of XML markup constructs with which to represent schemas, and define the application of schemas to XML documents. XML Schema 1.1 (in two parts) is a W3C Recommendation. It is intended to be mostly compatible with XML Schema 1.0 and to have approximately the same scope, but also to fix bugs and make whatever improvements we can, consistent with the constraints on scope and compatibility. The two parts are: XML Schema 1.1 Part 2: Datatypes, and XML Schema 1.1 Part 1: Structures.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14725}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":[],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":2,"relation":"undefined"}],"grants":[{"id":6580,"fairsharing_record_id":1002,"organisation_id":3213,"relation":"maintains","created_at":"2021-09-30T09:28:06.357Z","updated_at":"2021-09-30T09:28:06.357Z","grant_id":null,"is_lead":true,"saved_state":{"id":3213,"name":"W3C XML Schema Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1003","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T15:33:50.804Z","metadata":{"doi":"10.25504/FAIRsharing.8j2p80","name":"Neural-Immune Gene Ontology","status":"deprecated","contacts":[{"contact_name":"Eitan Rubin","contact_email":"erubin@bgu.ac.il","contact_orcid":"0000-0002-7807-4005"}],"homepage":"http://bioinfo.bgu.ac.il/rubin/supplementary/NIGO/Supplementary.html","citations":[],"identifier":1003,"description":"The Neural-Immune Gene Ontology (NIGO) is a subset of GO directed for neurological and immunological systems. NIGO was created by clipping those GO terms that are not associated to any gene in human, rat and mouse, and by clipping terms not found to be relevant to the neural and/or immune domains.","abbreviation":"NIGO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIGO","name":"NIGO","portal":"BioPortal"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002693","bsg-s002693"],"name":"FAIRsharing record for: Neural-Immune Gene Ontology","abbreviation":"NIGO","url":"https://fairsharing.org/10.25504/FAIRsharing.8j2p80","doi":"10.25504/FAIRsharing.8j2p80","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neural-Immune Gene Ontology (NIGO) is a subset of GO directed for neurological and immunological systems. NIGO was created by clipping those GO terms that are not associated to any gene in human, rat and mouse, and by clipping terms not found to be relevant to the neural and/or immune domains.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12460}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Immunology","Computational Biology","Life Science"],"domains":["Expression data","Cellular component"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel","Italy"],"publications":[{"id":1758,"pubmed_id":20831831,"title":"The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-458","authors":"Geifman N,Monsonego A,Rubin E","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-458","created_at":"2021-09-30T08:25:37.273Z","updated_at":"2021-09-30T08:25:37.273Z"}],"licence_links":[],"grants":[{"id":6581,"fairsharing_record_id":1003,"organisation_id":200,"relation":"maintains","created_at":"2021-09-30T09:28:06.382Z","updated_at":"2021-09-30T09:28:06.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":200,"name":"Ben-Gurion University of the Negev, Israel","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6582,"fairsharing_record_id":1003,"organisation_id":2012,"relation":"funds","created_at":"2021-09-30T09:28:06.413Z","updated_at":"2021-09-30T09:28:06.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":2012,"name":"National Institute of Biotechnology in the Negev, Beer-Sheva, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1017","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:14:28.000Z","updated_at":"2022-07-20T11:27:10.596Z","metadata":{"name":"Ontologies of Linguistic Annotation","status":"deprecated","contacts":[],"homepage":"http://www.acoli.informatik.uni-frankfurt.de/resources/olia/","citations":[{"publication_id":2314}],"identifier":1017,"description":"The OLiA ontologies represent a repository of annotation terminology for various linguistic phenomena for many languages. They have been used to facilitate interoperability and information integration of linguistic annotations in corpora, NLP pipelines, and lexical-semantic resources.","abbreviation":"OLiA","support_links":[{"url":"http://sourceforge.net/projects/olia/","name":"Sourceforge Project","type":"Help documentation"}],"year_creation":2005,"deprecation_date":"2022-02-07","deprecation_reason":"This resource is no longer available at the stated homepage, and a new project site cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-001257","bsg-s001257"],"name":"FAIRsharing record for: Ontologies of Linguistic Annotation","abbreviation":"OLiA","url":"https://fairsharing.org/fairsharing_records/1017","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OLiA ontologies represent a repository of annotation terminology for various linguistic phenomena for many languages. They have been used to facilitate interoperability and information integration of linguistic annotations in corpora, NLP pipelines, and lexical-semantic resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Linguistics"],"domains":["Annotation","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2314,"pubmed_id":null,"title":"OLiA – Ontologies of Linguistic Annotation","year":2012,"url":"http://semantic-web-journal.net/content/olia-%E2%80%93-ontologies-linguistic-annotation","authors":"Christian Chiarcos, Maria Sukhareva","journal":"Semantic Web Journal","doi":null,"created_at":"2021-09-30T08:26:43.941Z","updated_at":"2021-09-30T11:29:51.637Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1050,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1047,"relation":"undefined"}],"grants":[{"id":6616,"fairsharing_record_id":1017,"organisation_id":104,"relation":"maintains","created_at":"2021-09-30T09:28:07.666Z","updated_at":"2021-09-30T09:28:07.666Z","grant_id":null,"is_lead":true,"saved_state":{"id":104,"name":"Applied Computational Linguistics (ACoLi) Lab, Institut fur Informatik, Goethe Universitat, Frankfurt am Main, Germany","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1018","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:09.000Z","updated_at":"2024-03-21T13:59:03.234Z","metadata":{"doi":"10.25504/FAIRsharing.t05h3c","name":"LINCS Extended Metadata Standard: Induced Pluripotent Stem Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/iPSC_Metadata_2017.pdf","citations":[],"identifier":1018,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Induced pluripotent stem cells (iPSCs) are adult cells that have been genetically reprogrammed to an embryonic stem cell–like state by being forced to express genes and factors important for maintaining the defining properties of embryonic stem cells.","abbreviation":"LINCS 2: iPSCs","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/iPSC_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000653","bsg-s000653"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Induced Pluripotent Stem Cells","abbreviation":"LINCS 2: iPSCs","url":"https://fairsharing.org/10.25504/FAIRsharing.t05h3c","doi":"10.25504/FAIRsharing.t05h3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Induced pluripotent stem cells (iPSCs) are adult cells that have been genetically reprogrammed to an embryonic stem cell–like state by being forced to express genes and factors important for maintaining the defining properties of embryonic stem cells.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11896},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12490}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Epigenomics","Epigenetics","Life Science"],"domains":["Pluripotent stem cell","Karyotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":6618,"fairsharing_record_id":1018,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:07.737Z","updated_at":"2021-09-30T09:28:07.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11573,"fairsharing_record_id":1018,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:03.038Z","updated_at":"2024-03-21T13:59:03.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1019","type":"fairsharing_records","attributes":{"created_at":"2018-03-13T19:43:22.000Z","updated_at":"2022-07-20T11:46:09.262Z","metadata":{"doi":"10.25504/FAIRsharing.af7a2d","name":"Brassica Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_348:ROOT","citations":[],"identifier":1019,"description":"Brassica Trait Ontology (BRaTO) hosts trait information to describe brassica crop data. Terms are collected from various projects including OREGIN, RIPR (UK) and Rapsodyn (France). Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brassica Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_348","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"https://github.com/Brassica-Trait-Ontology/brato/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://www.cropontology.org/help","name":"Help page","type":"Help documentation"},{"url":"https://github.com/Brassica-Trait-Ontology/brato","name":"GitHub","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001141","bsg-s001141"],"name":"FAIRsharing record for: Brassica Ontology","abbreviation":"CO_348","url":"https://fairsharing.org/10.25504/FAIRsharing.af7a2d","doi":"10.25504/FAIRsharing.af7a2d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Brassica Trait Ontology (BRaTO) hosts trait information to describe brassica crop data. Terms are collected from various projects including OREGIN, RIPR (UK) and Rapsodyn (France). Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brassica Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Brassica"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Australia","France","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1761,"relation":"undefined"}],"grants":[{"id":6622,"fairsharing_record_id":1019,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:07.899Z","updated_at":"2021-09-30T09:28:07.899Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6619,"fairsharing_record_id":1019,"organisation_id":801,"relation":"maintains","created_at":"2021-09-30T09:28:07.779Z","updated_at":"2021-09-30T09:28:07.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":801,"name":"Earlham Institute, Norwich, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6620,"fairsharing_record_id":1019,"organisation_id":2601,"relation":"maintains","created_at":"2021-09-30T09:28:07.807Z","updated_at":"2021-09-30T09:28:07.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":2601,"name":"Southern Cross University, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6621,"fairsharing_record_id":1019,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:07.849Z","updated_at":"2021-09-30T09:28:07.849Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1020","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2023-03-13T09:20:34.603Z","metadata":{"doi":"10.25504/FAIRsharing.tz6hz6","name":"Ontology of Consumer Health Vocabulary","status":"ready","contacts":[{"contact_name":"Tuan Amith","contact_email":"muhammad.f.amith@uth.tmc.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/OCHV","citations":[],"identifier":1020,"description":"A SKOS-encoded implementation of the \"Open Access, Collaborative Consumer Health Vocabulary Initiative\" by the University of Utah (consumerhealthvocab.org and layhealthinformatics.com)","abbreviation":"OCHV","support_links":[{"url":"cui.tao@uth.tmc.edu","name":"Cui Tao","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCHV","name":"OCHV","portal":"BioPortal"}]},"legacy_ids":["bsg-000952","bsg-s000952"],"name":"FAIRsharing record for: Ontology of Consumer Health Vocabulary","abbreviation":"OCHV","url":"https://fairsharing.org/10.25504/FAIRsharing.tz6hz6","doi":"10.25504/FAIRsharing.tz6hz6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A SKOS-encoded implementation of the \"Open Access, Collaborative Consumer Health Vocabulary Initiative\" by the University of Utah (consumerhealthvocab.org and layhealthinformatics.com)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"996","type":"fairsharing_records","attributes":{"created_at":"2021-07-08T13:42:43.000Z","updated_at":"2022-02-08T10:37:58.459Z","metadata":{"doi":"10.25504/FAIRsharing.0417cf","name":"Open Archives Initiative Protocol for Metadata Harvesting Schema","status":"ready","contacts":[{"contact_name":"Carl Lagoze","contact_email":"lagoze@cs.cornell.edu"}],"homepage":"http://www.openarchives.org/OAI/openarchivesprotocol.html#OAIPMHschema","identifier":996,"description":"The Open Archives Initiative Protocol for Metadata Harvesting Schema (OAI-PMH Schema) provides a formal structure for validating responses as part of the OAI-PMH Protocol. The OAI-PMH Protocol is a low-barrier mechanism for repository interoperability. Data Providers are repositories that expose structured metadata via OAI-PMH. Service Providers then make OAI-PMH service requests to harvest that metadata. OAI-PMH is a set of six verbs or services that are invoked within HTTP.","abbreviation":"OAI-PMH Schema","support_links":[{"url":"https://groups.google.com/g/oai-pmh","name":"OAI-PMH Google Group","type":"Forum"},{"url":"http://www.openarchives.org/OAI/2.0/guidelines.htm","name":"OAI-PMH Guidelines","type":"Help documentation"},{"url":"http://www.openarchives.org/pmh/","name":"General Information","type":"Help documentation"}],"associated_tools":[{"url":"http://www.openarchives.org/pmh/tools/","name":"Tool List"}]},"legacy_ids":["bsg-001621","bsg-s001621"],"name":"FAIRsharing record for: Open Archives Initiative Protocol for Metadata Harvesting Schema","abbreviation":"OAI-PMH Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.0417cf","doi":"10.25504/FAIRsharing.0417cf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Archives Initiative Protocol for Metadata Harvesting Schema (OAI-PMH Schema) provides a formal structure for validating responses as part of the OAI-PMH Protocol. The OAI-PMH Protocol is a low-barrier mechanism for repository interoperability. Data Providers are repositories that expose structured metadata via OAI-PMH. Service Providers then make OAI-PMH service requests to harvest that metadata. OAI-PMH is a set of six verbs or services that are invoked within HTTP.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18238}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Integration","Computer Science"],"domains":["Data retrieval"],"taxonomies":["Not applicable"],"user_defined_tags":["general anesthsia"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":361,"relation":"undefined"}],"grants":[{"id":6569,"fairsharing_record_id":996,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:05.921Z","updated_at":"2021-09-30T09:28:05.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6568,"fairsharing_record_id":996,"organisation_id":2253,"relation":"maintains","created_at":"2021-09-30T09:28:05.880Z","updated_at":"2021-09-30T09:28:05.880Z","grant_id":null,"is_lead":true,"saved_state":{"id":2253,"name":"Open Archives Initiative (OAI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6570,"fairsharing_record_id":996,"organisation_id":542,"relation":"funds","created_at":"2021-09-30T09:28:05.959Z","updated_at":"2021-09-30T09:28:05.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":542,"name":"Coalition for Networked Information","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6571,"fairsharing_record_id":996,"organisation_id":760,"relation":"funds","created_at":"2021-09-30T09:28:05.992Z","updated_at":"2021-09-30T09:28:05.992Z","grant_id":null,"is_lead":false,"saved_state":{"id":760,"name":"Digital Library Federation","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"997","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-03-11T10:29:49.698Z","metadata":{"doi":"10.25504/FAIRsharing.kx4bgf","name":"NGS ontology","status":"deprecated","contacts":[{"contact_name":"mickael silva","contact_email":"mickaelsilva@medicina.ulisboa.pt"}],"homepage":"https://github.com/mickaelsilva/NGSOnto","citations":[],"identifier":997,"description":"The NGSOnto ontology aims at capturing the workflow of all the processes involved in a Next Generation Sequencing, in order to ensure the reproducibility of the entire process, through the use of a controled and specific vocabulary.","abbreviation":"NGSONTO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NGSONTO","name":"NGSONTO","portal":"BioPortal"}],"deprecation_date":"2022-03-11","deprecation_reason":"This resource has not been updated in BioPortal since its initial submission, and and the GitHub homepage has also not been updated recently. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000838","bsg-s000838"],"name":"FAIRsharing record for: NGS ontology","abbreviation":"NGSONTO","url":"https://fairsharing.org/10.25504/FAIRsharing.kx4bgf","doi":"10.25504/FAIRsharing.kx4bgf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NGSOnto ontology aims at capturing the workflow of all the processes involved in a Next Generation Sequencing, in order to ensure the reproducibility of the entire process, through the use of a controled and specific vocabulary.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Next generation DNA sequencing"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Portugal"],"publications":[],"licence_links":[],"grants":[{"id":8983,"fairsharing_record_id":997,"organisation_id":3434,"relation":"maintains","created_at":"2022-03-11T10:28:10.051Z","updated_at":"2022-03-11T10:28:10.051Z","grant_id":null,"is_lead":true,"saved_state":{"id":3434,"name":"University of Lisbon","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"998","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.161Z","metadata":{"doi":"10.25504/FAIRsharing.fr3ng0","name":"Edinburgh Human Developmental Anatomy Abstract","status":"deprecated","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://obofoundry.org/ontology/ehdaa.html","identifier":998,"description":"A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). This abstract version of the human developmental anatomy ontology compresses all the tissues present over Carnegie stages 1-20 into a single hierarchy. The heart, for example, is present from Carnegie Stage 9 onwards and is thus represented by 12 EHDA IDs (one for each stage). In the abstract mouse, it has a single ID so that the abstract term given as just heart really means heart (CS 9-20). This ontology was made computationally and later deemed \"incoherent\" by the authors because the stage-dependent hierarchical structures were not integrated.","abbreviation":"EHDAA","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EHDAA","name":"EHDAA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ehdaa.html","name":"ehdaa","portal":"OBO Foundry"}],"deprecation_date":"2016-04-20","deprecation_reason":"This resource is deprecated. Please see the following record for the next version of the ontology (https://biosharing.org/bsg-002675) instead."},"legacy_ids":["bsg-000033","bsg-s000033"],"name":"FAIRsharing record for: Edinburgh Human Developmental Anatomy Abstract","abbreviation":"EHDAA","url":"https://fairsharing.org/10.25504/FAIRsharing.fr3ng0","doi":"10.25504/FAIRsharing.fr3ng0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). This abstract version of the human developmental anatomy ontology compresses all the tissues present over Carnegie stages 1-20 into a single hierarchy. The heart, for example, is present from Carnegie Stage 9 onwards and is thus represented by 12 EHDA IDs (one for each stage). In the abstract mouse, it has a single ID so that the abstract term given as just heart really means heart (CS 9-20). This ontology was made computationally and later deemed \"incoherent\" by the authors because the stage-dependent hierarchical structures were not integrated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science","Biomedical Science"],"domains":["Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1007,"pubmed_id":14620375,"title":"An ontology of human developmental anatomy.","year":2003,"url":"http://doi.org/10.1046/j.1469-7580.2003.00224.x","authors":"Hunter A,Kaufman MH,McKay A,Baldock R,Simmen MW,Bard JB","journal":"J Anat","doi":"10.1046/j.1469-7580.2003.00224.x","created_at":"2021-09-30T08:24:11.455Z","updated_at":"2021-09-30T08:24:11.455Z"},{"id":1052,"pubmed_id":22973865,"title":"A new ontology (structured hierarchy) of human developmental anatomy for the first 7 weeks (Carnegie stages 1-20).","year":2012,"url":"http://doi.org/10.1111/j.1469-7580.2012.01566.x","authors":"Bard J","journal":"J Anat","doi":"10.1111/j.1469-7580.2012.01566.x","created_at":"2021-09-30T08:24:16.472Z","updated_at":"2021-09-30T08:24:16.472Z"}],"licence_links":[],"grants":[{"id":6572,"fairsharing_record_id":998,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:28:06.030Z","updated_at":"2021-09-30T09:28:06.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1021","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:35:59.510Z","metadata":{"doi":"10.25504/FAIRsharing.xm7tkj","name":"Nuclear Magnetic Resonance Controlled Vocabulary","status":"ready","contacts":[],"homepage":"http://nmrml.org/cv/","citations":[],"identifier":1021,"description":"nmrCV is a MSI-sanctioned NMR controlled vocabulary, created within the COSMOS EU project, to support the nmrML data standard for nuclear magnetic resonance data in metabolomics with standardized meaningful data descriptors. This CV is the successor of the (now deprecated) 'NMR-instrument specific component of metabolomics investigations' CV of 2006. This standard is currently financed via the PhenoMeNal EU project. It is a simple taxonomy build according to the same design principles as its role model artefact, the Mass Spec CV of PSI.","abbreviation":"nmrCV","support_links":[{"url":"info@nmrml.org","type":"Support email"},{"url":"https://groups.google.com/forum/?hl=en#!forum/nmrml/join","type":"Forum"},{"url":"https://github.com/nmrML/nmrML/issues","type":"Github"},{"url":"http://nmrml.org/cv/","type":"Help documentation"},{"url":"https://github.com/nmrML/nmrML/tree/master/xml-schemata","type":"Github"}],"year_creation":2015,"associated_tools":[{"url":"http://nmrml.org/tools/","name":"Parsers and visualisers"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NMR","name":"NMR","portal":"BioPortal"}]},"legacy_ids":["bsg-000069","bsg-s000069"],"name":"FAIRsharing record for: Nuclear Magnetic Resonance Controlled Vocabulary","abbreviation":"nmrCV","url":"https://fairsharing.org/10.25504/FAIRsharing.xm7tkj","doi":"10.25504/FAIRsharing.xm7tkj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: nmrCV is a MSI-sanctioned NMR controlled vocabulary, created within the COSMOS EU project, to support the nmrML data standard for nuclear magnetic resonance data in metabolomics with standardized meaningful data descriptors. This CV is the successor of the (now deprecated) 'NMR-instrument specific component of metabolomics investigations' CV of 2006. This standard is currently financed via the PhenoMeNal EU project. It is a simple taxonomy build according to the same design principles as its role model artefact, the Mass Spec CV of PSI.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10909},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11018},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11706}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry","Metabolomics"],"domains":["Molecular structure","Chemical structure","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Chemical screen","Assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France","United Kingdom","European Union"],"publications":[{"id":1087,"pubmed_id":17687353,"title":"The metabolomics standards initiative.","year":2007,"url":"http://doi.org/10.1038/nbt0807-846b","authors":"MSI Board Members, Sansone SA, Fan T, Goodacre R, Griffin JL, Hardy NW, Kaddurah-Daouk R, Kristal BS, Lindon J, Mendes P, Morrison N, Nikolau B, Robertson D, Sumner LW, Taylor C, van der Werf M, van Ommen B, Fiehn O.","journal":"Nat. Biotechnol.","doi":"10.1038/nbt0807-846b","created_at":"2021-09-30T08:24:20.407Z","updated_at":"2021-09-30T08:24:20.407Z"},{"id":1991,"pubmed_id":29035042,"title":"nmrML: A Community Supported Open Data Standard for the Description, Storage, and Exchange of NMR Data.","year":2017,"url":"http://doi.org/10.1021/acs.analchem.7b02795","authors":"Schober D1, Jacob D2, Wilson M3, Cruz JA3, Marcu A3, Grant JR3, Moing A2, Deborde C2, de Figueiredo LF4, Haug K4, Rocca-Serra P5, Easton J6, Ebbels TMD7, Hao J7, Ludwig C8, Günther UL9, Rosato A10, Klein MS11, Lewis IA11, Luchinat C10, Jones AR12, Grauslys A12, Larralde M13, Yokochi M14, Kobayashi N14, Porzel A15, Griffin JL16, Viant MR17, Wishart DS3, Steinbeck C4, Salek RM4, Neumann S1","journal":"Anal. Chem.","doi":"10.1021/acs.analchem.7b02795","created_at":"2021-09-30T08:26:04.124Z","updated_at":"2021-09-30T08:26:04.124Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1367,"relation":"undefined"}],"grants":[{"id":6624,"fairsharing_record_id":1021,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:28:07.969Z","updated_at":"2021-09-30T09:30:58.972Z","grant_id":963,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"654241","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6626,"fairsharing_record_id":1021,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:08.023Z","updated_at":"2021-09-30T09:28:08.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6623,"fairsharing_record_id":1021,"organisation_id":917,"relation":"funds","created_at":"2021-09-30T09:28:07.937Z","updated_at":"2021-09-30T09:31:45.990Z","grant_id":1317,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","grant":"EC312941","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":10393,"fairsharing_record_id":1021,"organisation_id":2799,"relation":"maintains","created_at":"2023-03-13T11:11:43.556Z","updated_at":"2023-03-13T11:11:43.556Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1022","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-08T07:26:03.891Z","metadata":{"doi":"10.25504/FAIRsharing.ad3137","name":"Medical Dictionary for Regulatory Activities Terminology","status":"ready","contacts":[{"contact_email":"mssohelp@meddra.org"}],"homepage":"http://www.meddra.org/","identifier":1022,"description":"MedDRA is a multilingual terminology allowing most users to operate in their native languages. MedDRA can be used to analyse individual medical events (e.g., “Influenza”) or issues involving a system, organ or etiology (e.g., infections) using its hierarchical structure. MedDRA can be used for signal detection and monitoring of clinical syndromes whose symptoms encompass numerous systems or organs using its multi-axial hierarchy or through the special feature of Standardised MedDRA Queries. The ability to communicate adverse event data is another strength of MedDRA and has lead to MedDRA being an integral part of the ICH e-submission standards: eCTD (ICH M8) and ICSRs (ICH E2B).","abbreviation":"MedDRA","support_links":[{"url":"https://www.meddra.org/news-and-events/news","name":"News","type":"Blog/News"},{"url":"http://www.meddra.org/contact","type":"Contact form"},{"url":"http://www.meddra.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.meddra.org/how-to-use/support-documentation","type":"Help documentation"},{"url":"http://www.meddra.org/how-to-use/basics/hierarchy","type":"Help documentation"},{"url":"https://www.meddra.org/rss","name":"RSS","type":"Blog/News"},{"url":"http://www.meddra.org/training/offerings","type":"Training documentation"}],"year_creation":1993,"associated_tools":[{"url":"http://www.meddra.org/how-to-use/tools/smqs","name":"Standardised MedDRA Queries"},{"url":"https://tools.meddra.org/mvat/","name":"MedDRA Version Analysis Tool"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEDDRA","name":"MEDDRA","portal":"BioPortal"}]},"legacy_ids":["bsg-002647","bsg-s002647"],"name":"FAIRsharing record for: Medical Dictionary for Regulatory Activities Terminology","abbreviation":"MedDRA","url":"https://fairsharing.org/10.25504/FAIRsharing.ad3137","doi":"10.25504/FAIRsharing.ad3137","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MedDRA is a multilingual terminology allowing most users to operate in their native languages. MedDRA can be used to analyse individual medical events (e.g., “Influenza”) or issues involving a system, organ or etiology (e.g., infections) using its hierarchical structure. MedDRA can be used for signal detection and monitoring of clinical syndromes whose symptoms encompass numerous systems or organs using its multi-axial hierarchy or through the special feature of Standardised MedDRA Queries. The ability to communicate adverse event data is another strength of MedDRA and has lead to MedDRA being an integral part of the ICH e-submission standards: eCTD (ICH M8) and ICSRs (ICH E2B).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17389},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17691},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11280},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12023},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12458},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16977}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1053,"pubmed_id":10082069,"title":"The medical dictionary for regulatory activities (MedDRA).","year":1999,"url":"http://doi.org/10.2165/00002018-199920020-00002","authors":"Brown EG,Wood L,Wood S","journal":"Drug Saf","doi":"10.2165/00002018-199920020-00002","created_at":"2021-09-30T08:24:16.580Z","updated_at":"2021-09-30T08:24:16.580Z"},{"id":1249,"pubmed_id":10961570,"title":"The use of a medical dictionary for regulatory activities terminology (MedDRA) in prescription-event monitoring in Japan (J-PEM).","year":2000,"url":"http://doi.org/10.1016/s1386-5056(00)00062-9","authors":"Yokotsuka M,Aoyama M,Kubota K","journal":"Int J Med Inform","doi":"10.1016/s1386-5056(00)00062-9","created_at":"2021-09-30T08:24:39.316Z","updated_at":"2021-09-30T08:24:39.316Z"}],"licence_links":[{"licence_name":"MedDRA Special Licence","licence_id":502,"licence_url":"http://www.meddra.org/subscription/special-licences","link_id":1510,"relation":"undefined"}],"grants":[{"id":6627,"fairsharing_record_id":1022,"organisation_id":1811,"relation":"maintains","created_at":"2021-09-30T09:28:08.066Z","updated_at":"2021-09-30T09:28:08.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":1811,"name":"Medical Dictionary for Regulatory Activities (MedDRA) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6628,"fairsharing_record_id":1022,"organisation_id":2313,"relation":"maintains","created_at":"2021-09-30T09:28:08.108Z","updated_at":"2021-09-30T09:28:08.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1004","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:00.491Z","metadata":{"doi":"10.25504/FAIRsharing.j9y503","name":"Cell Ontology","status":"ready","contacts":[{"contact_name":"Alexander Diehl","contact_email":"addiehl@buffalo.edu","contact_orcid":"0000-0001-9990-8331"}],"homepage":"https://github.com/obophenotype/cell-ontology","citations":[{"doi":"10.1186/s13326-016-0088-7","pubmed_id":27377652,"publication_id":2079}],"identifier":1004,"description":"The Cell Ontology (CL) is a candidate OBO Foundry ontology for the representation of cell types. First described in 2005, the CL integrates cell types from the prokaryotic, fungal, and eukaryotic organisms. As a core component of the OBO Foundry, the CL merges information contained in species-specific anatomical ontologies as well as referencing other OBO Foundry ontologies such as the Protein Ontology (PR) for uniquely expressed biomarkers and the Gene Ontology (GO) for the biological processes a cell type participates in. The CL is under continuous revision to expand representation of cell types and to better integrate with other biomedical ontologies.","abbreviation":"CL","support_links":[{"url":"https://github.com/obophenotype/cell-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/obophenotype/cell-ontology/blob/master/src/ontology/README.txt","name":"Project README","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CL","name":"CL","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cl.html","name":"cl","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000009","bsg-s000009"],"name":"FAIRsharing record for: Cell Ontology","abbreviation":"CL","url":"https://fairsharing.org/10.25504/FAIRsharing.j9y503","doi":"10.25504/FAIRsharing.j9y503","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Ontology (CL) is a candidate OBO Foundry ontology for the representation of cell types. First described in 2005, the CL integrates cell types from the prokaryotic, fungal, and eukaryotic organisms. As a core component of the OBO Foundry, the CL merges information contained in species-specific anatomical ontologies as well as referencing other OBO Foundry ontologies such as the Protein Ontology (PR) for uniquely expressed biomarkers and the Gene Ontology (GO) for the biological processes a cell type participates in. The CL is under continuous revision to expand representation of cell types and to better integrate with other biomedical ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10865},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11260},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11813},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11920},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12196},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16928}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Cell Biology"],"domains":["Annotation","Cell","Morphology"],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1011,"pubmed_id":21208450,"title":"Logical development of the cell ontology.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-6","authors":"Meehan TF,Masci AM,Abdulla A,Cowell LG,Blake JA,Mungall CJ,Diehl AD","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-6","created_at":"2021-09-30T08:24:11.948Z","updated_at":"2021-09-30T08:24:11.948Z"},{"id":2079,"pubmed_id":27377652,"title":"The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0088-7","authors":"Diehl AD,Meehan TF,Bradford YM,Brush MH,Dahdul WM,Dougall DS,He Y,Osumi-Sutherland D,Ruttenberg A,Sarntivijai S,Van Slyke CE,Vasilevsky NA,Haendel MA,Blake JA,Mungall CJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0088-7","created_at":"2021-09-30T08:26:14.366Z","updated_at":"2021-09-30T08:26:14.366Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1758,"relation":"undefined"}],"grants":[{"id":6583,"fairsharing_record_id":1004,"organisation_id":399,"relation":"maintains","created_at":"2021-09-30T09:28:06.455Z","updated_at":"2021-09-30T09:28:06.455Z","grant_id":null,"is_lead":true,"saved_state":{"id":399,"name":"Cell Ontology (CL) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6584,"fairsharing_record_id":1004,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:28:06.493Z","updated_at":"2021-09-30T09:30:35.230Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1011","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T20:44:28.000Z","updated_at":"2022-02-08T10:49:04.745Z","metadata":{"doi":"10.25504/FAIRsharing.17fbae","name":"Open Language Archives Community Metadata","status":"ready","contacts":[{"contact_name":"Gary Simons","contact_email":"gary_simons@sil.org"}],"homepage":"http://www.language-archives.org/OLAC/metadata.html","identifier":1011,"description":"This document defines the format used by the Open Language Archives Community (OLAC) for the interchange of metadata within the framework of the Open Archives Initiative (OAI). The metadata set is based on (and is an application profile of) the complete set of Dublin Core metadata terms (DCMT), but the format allows for the use of extensions to express community-specific qualifiers.","abbreviation":"OLAC Metadata","year_creation":2006},"legacy_ids":["bsg-001256","bsg-s001256"],"name":"FAIRsharing record for: Open Language Archives Community Metadata","abbreviation":"OLAC Metadata","url":"https://fairsharing.org/10.25504/FAIRsharing.17fbae","doi":"10.25504/FAIRsharing.17fbae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document defines the format used by the Open Language Archives Community (OLAC) for the interchange of metadata within the framework of the Open Archives Initiative (OAI). The metadata set is based on (and is an application profile of) the complete set of Dublin Core metadata terms (DCMT), but the format allows for the use of extensions to express community-specific qualifiers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Australia","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 2.5 Generic (CC BY-SA 2.5)","licence_id":190,"licence_url":"https://creativecommons.org/licenses/by-sa/2.5/","link_id":1195,"relation":"undefined"}],"grants":[{"id":6592,"fairsharing_record_id":1011,"organisation_id":2259,"relation":"maintains","created_at":"2021-09-30T09:28:06.775Z","updated_at":"2021-09-30T09:28:06.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":2259,"name":"Open Language Archive Community (OLAC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6595,"fairsharing_record_id":1011,"organisation_id":3090,"relation":"maintains","created_at":"2021-09-30T09:28:06.888Z","updated_at":"2021-09-30T09:28:06.888Z","grant_id":null,"is_lead":true,"saved_state":{"id":3090,"name":"University of Melbourne","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6593,"fairsharing_record_id":1011,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:28:06.804Z","updated_at":"2021-09-30T09:28:06.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6594,"fairsharing_record_id":1011,"organisation_id":2568,"relation":"maintains","created_at":"2021-09-30T09:28:06.847Z","updated_at":"2021-09-30T09:28:06.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":2568,"name":"SIL International and Graduate Institute of Applied Linguistics","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1039","type":"fairsharing_records","attributes":{"created_at":"2018-01-03T11:02:43.000Z","updated_at":"2021-11-24T13:18:09.815Z","metadata":{"doi":"10.25504/FAIRsharing.hn155r","name":"Multi-Crop Passport Descriptors","status":"ready","contacts":[{"contact_name":"Stefano Diulgheroff","contact_email":"Stefano.Diulgheroff@fao.org"}],"homepage":"https://www.bioversityinternational.org/e-library/publications/detail/faoipgri-multi-crop-passport-descriptors-mcpd/","identifier":1039,"description":"The List of Multi-Crop Passport Descriptors (MCPD) is a reference tool developed jointly by IPGRI and FAO to provide international standards to facilitate germplasm passport information exchange across crops. These descriptors aim to be compatible with IPGRI crop descriptor lists and with the descriptors used for the FAO World Information and Early Warning System (WIEWS) on plant genetic resources (PGR). This revised version (December 2001) of the 1997 MCPD List, provides a brief explanation of content, coding scheme and suggested fieldnames for each descriptor to assist in the computerized exchange of this type of data.","abbreviation":"MCPD","year_creation":2001},"legacy_ids":["bsg-001094","bsg-s001094"],"name":"FAIRsharing record for: Multi-Crop Passport Descriptors","abbreviation":"MCPD","url":"https://fairsharing.org/10.25504/FAIRsharing.hn155r","doi":"10.25504/FAIRsharing.hn155r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The List of Multi-Crop Passport Descriptors (MCPD) is a reference tool developed jointly by IPGRI and FAO to provide international standards to facilitate germplasm passport information exchange across crops. These descriptors aim to be compatible with IPGRI crop descriptor lists and with the descriptors used for the FAO World Information and Early Warning System (WIEWS) on plant genetic resources (PGR). This revised version (December 2001) of the 1997 MCPD List, provides a brief explanation of content, coding scheme and suggested fieldnames for each descriptor to assist in the computerized exchange of this type of data.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11869},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16717}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Agriculture","Life Science"],"domains":["Germplasm"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Italy"],"publications":[],"licence_links":[],"grants":[{"id":6656,"fairsharing_record_id":1039,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:09.194Z","updated_at":"2021-09-30T09:28:09.194Z","grant_id":null,"is_lead":false,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6657,"fairsharing_record_id":1039,"organisation_id":1509,"relation":"maintains","created_at":"2021-09-30T09:28:09.218Z","updated_at":"2021-09-30T09:28:09.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":1509,"name":"International Plant Genetic Resources Institute (IPGRI), Rome, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1040","type":"fairsharing_records","attributes":{"created_at":"2015-10-06T15:08:28.000Z","updated_at":"2021-11-24T13:16:25.888Z","metadata":{"doi":"10.25504/FAIRsharing.xfz72j","name":"Economic Botany Data Collection Standard","status":"ready","contacts":[{"contact_email":"tdwguses@kew.org"}],"homepage":"https://github.com/tdwg/prior-standards/tree/master/economic-botany-data-collection-standard","identifier":1040,"description":"This standard provides a system whereby uses of plants (in their cultural context) can be described, using standardised descriptors and terms, and attached to taxonomic data sets. It resulted from discussions at the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) between 1989 and 1992. Users and potential users of the standard include: economic botanists and ethnobotanists whose purpose is to record all known information about the uses of a taxon; educationalists, taxonomists, biochemists, anatomists etc. who wish to record plant use, often at a broad level; economic botany collection curators who need to describe accurately the uses and values of specimens in their collections; bibliographers who need to describe plant uses referred to in publications and to apply keywords consistently for ease of data retrieval. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":"EBDCS","support_links":[{"url":"https://github.com/tdwg/prior-standards/tree/master/economic-botany-data-collection-standard","type":"Github"}],"year_creation":1995},"legacy_ids":["bsg-000624","bsg-s000624"],"name":"FAIRsharing record for: Economic Botany Data Collection Standard","abbreviation":"EBDCS","url":"https://fairsharing.org/10.25504/FAIRsharing.xfz72j","doi":"10.25504/FAIRsharing.xfz72j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard provides a system whereby uses of plants (in their cultural context) can be described, using standardised descriptors and terms, and attached to taxonomic data sets. It resulted from discussions at the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) between 1989 and 1992. Users and potential users of the standard include: economic botanists and ethnobotanists whose purpose is to record all known information about the uses of a taxon; educationalists, taxonomists, biochemists, anatomists etc. who wish to record plant use, often at a broad level; economic botany collection curators who need to describe accurately the uses and values of specimens in their collections; bibliographers who need to describe plant uses referred to in publications and to apply keywords consistently for ease of data retrieval. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12276}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany","Biodiversity","Life Science"],"domains":[],"taxonomies":["Embryophyta"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1264,"pubmed_id":24971798,"title":"New categories for traditional medicine in the Economic Botany Data Collection Standard.","year":2014,"url":"http://doi.org/10.1016/j.jep.2014.06.047","authors":"Gruca M,Camara-Leret R,Macia MJ,Balslev H","journal":"J Ethnopharmacol","doi":"10.1016/j.jep.2014.06.047","created_at":"2021-09-30T08:24:41.016Z","updated_at":"2021-09-30T08:24:41.016Z"}],"licence_links":[],"grants":[{"id":6658,"fairsharing_record_id":1040,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:09.243Z","updated_at":"2021-09-30T09:28:09.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1041","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2023-11-17T09:47:08.299Z","metadata":{"doi":"10.25504/FAIRsharing.rbp5wp","name":"IBP Crop Research Ontology","status":"deprecated","contacts":[{"contact_name":"Rosemary Shrestha","contact_email":"r.shrestha2@cgiar.org","contact_orcid":"0000-0002-9399-8003"}],"homepage":"https://cropontology.org/term/CO_715:ROOT","citations":[],"identifier":1041,"description":"The IBP Crop Research Ontology describes experimental design, environmental conditions and methods associated with the crop study/experiment/trait and their evaluation. It has been adapted from the database management system (DMS) and germplasm management system (GMS) of the International Crop Information System (ICIS) model. This ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms.","abbreviation":"CO_715","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001099","bsg-s001099"],"name":"FAIRsharing record for: IBP Crop Research Ontology","abbreviation":"CO_715","url":"https://fairsharing.org/10.25504/FAIRsharing.rbp5wp","doi":"10.25504/FAIRsharing.rbp5wp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IBP Crop Research Ontology describes experimental design, environmental conditions and methods associated with the crop study/experiment/trait and their evaluation. It has been adapted from the database management system (DMS) and germplasm management system (GMS) of the International Crop Information System (ICIS) model. This ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Study design"],"taxonomies":["Plantae"],"user_defined_tags":["Method descriptions","Species-environment interaction"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1584,"relation":"undefined"}],"grants":[{"id":6659,"fairsharing_record_id":1041,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:28:09.269Z","updated_at":"2021-09-30T09:28:09.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6660,"fairsharing_record_id":1041,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:28:09.295Z","updated_at":"2021-09-30T09:28:09.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6661,"fairsharing_record_id":1041,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:09.319Z","updated_at":"2021-09-30T09:28:09.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1042","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:41.857Z","metadata":{"doi":"10.25504/FAIRsharing.4zegak","name":"Role Ontology","status":"in_development","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://sourceforge.net/projects/roleo/","identifier":1042,"description":"The Role Ontology (RoleO) is a ontology in the domain of role classification. RoleO aims to standardize role classification and support computer-assisted reasoning. RoleO is a community-based ontology, and its development follows the OBO Foundry principles.","abbreviation":"RoleO","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ROLEO","name":"ROLEO","portal":"BioPortal"}]},"legacy_ids":["bsg-002692","bsg-s002692"],"name":"FAIRsharing record for: Role Ontology","abbreviation":"RoleO","url":"https://fairsharing.org/10.25504/FAIRsharing.4zegak","doi":"10.25504/FAIRsharing.4zegak","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Role Ontology (RoleO) is a ontology in the domain of role classification. RoleO aims to standardize role classification and support computer-assisted reasoning. RoleO is a community-based ontology, and its development follows the OBO Foundry principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6662,"fairsharing_record_id":1042,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:09.344Z","updated_at":"2021-09-30T09:28:09.344Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1043","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T08:50:51.000Z","updated_at":"2022-12-13T09:38:12.941Z","metadata":{"doi":"10.25504/FAIRsharing.vM7i3k","name":"IVOA Single-Sign-On Profile: Authentication Mechanisms","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/SSO/index.html","citations":[{"publication_id":2950}],"identifier":1043,"description":"Single-Sign-On Profile: Authentication Mechanisms is a guideline describing approved client-server authentication mechanisms for the IVOA single-sign-on profile. These mechanisms include: No Authentication; HTTP Basic Authentication; TLS with passwords; TLS with client certificates; Cookies; Open Authentication; Security Assertion Markup Language; OpenID. Normative rules are given for the implementation of these mechanisms, mainly by reference to pre-existing standards. The Authorization mechanisms are out of the scope of this document.","abbreviation":"SSO - Authentication","support_links":[{"url":"http://www.ivoa.net/documents/SSO/20170524/REC-SSOAuthMech-2.0.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SecurityHome","name":"IVOA Security Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001190","bsg-s001190"],"name":"FAIRsharing record for: IVOA Single-Sign-On Profile: Authentication Mechanisms","abbreviation":"SSO - Authentication","url":"https://fairsharing.org/10.25504/FAIRsharing.vM7i3k","doi":"10.25504/FAIRsharing.vM7i3k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Single-Sign-On Profile: Authentication Mechanisms is a guideline describing approved client-server authentication mechanisms for the IVOA single-sign-on profile. These mechanisms include: No Authentication; HTTP Basic Authentication; TLS with passwords; TLS with client certificates; Cookies; Open Authentication; Security Assertion Markup Language; OpenID. Normative rules are given for the implementation of these mechanisms, mainly by reference to pre-existing standards. The Authorization mechanisms are out of the scope of this document.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11493}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2950,"pubmed_id":null,"title":"SSO - Single-Sign-On Profile: Authentication Mechanisms Version 2.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0524T","authors":"Taffoni, Giuliano; Schaaf, André; Rixon, Guy; Major, Brian","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.583Z","updated_at":"2021-09-30T08:28:03.583Z"}],"licence_links":[],"grants":[{"id":6663,"fairsharing_record_id":1043,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:09.375Z","updated_at":"2021-09-30T09:28:09.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6664,"fairsharing_record_id":1043,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:09.414Z","updated_at":"2021-09-30T09:28:09.414Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1044","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.995Z","metadata":{"doi":"10.25504/FAIRsharing.abxd9x","name":"Teleost Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Wasila Dahdul","contact_email":"wasila.dahdul@usd.edu","contact_orcid":"0000-0003-3162-7490"}],"homepage":"http://purl.bioontology.org/ontology/TAO","identifier":1044,"description":"TAO is a multi-species ontology for teleost fishes that was initialized with terms from the Zebrafish Anatomical Ontology (ZFA). The development of the TAO focused on the skeletal system because it varies significantly across fishes, is well-preserved in fossil specimens, and it is often the focus of morphologically-based evolutionary studies in ichthyology. Note that TAO is a deprecated ontology and has been superceded by Uberon.","abbreviation":"TAO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TAO","name":"TAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tao.html","name":"tao","portal":"OBO Foundry"}],"deprecation_date":"2016-03-31","deprecation_reason":"Superceded by UBERON https://fairsharing.org/FAIRsharing.4c0b6b"},"legacy_ids":["bsg-000030","bsg-s000030"],"name":"FAIRsharing record for: Teleost Anatomy Ontology","abbreviation":"TAO","url":"https://fairsharing.org/10.25504/FAIRsharing.abxd9x","doi":"10.25504/FAIRsharing.abxd9x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TAO is a multi-species ontology for teleost fishes that was initialized with terms from the Zebrafish Anatomical Ontology (ZFA). The development of the TAO focused on the skeletal system because it varies significantly across fishes, is well-preserved in fossil specimens, and it is often the focus of morphologically-based evolutionary studies in ichthyology. Note that TAO is a deprecated ontology and has been superceded by Uberon.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Morphology","Structure"],"taxonomies":["Teleostei"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1651,"pubmed_id":20547776,"title":"The teleost anatomy ontology: anatomical representation for the genomics age.","year":2010,"url":"http://doi.org/10.1093/sysbio/syq013","authors":"Dahdul WM,Lundberg JG,Midford PE,Balhoff JP,Lapp H,Vision TJ,Haendel MA,Westerfield M,Mabee PM","journal":"Syst Biol","doi":"10.1093/sysbio/syq013","created_at":"2021-09-30T08:25:24.971Z","updated_at":"2021-09-30T08:25:24.971Z"}],"licence_links":[],"grants":[{"id":6667,"fairsharing_record_id":1044,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:09.500Z","updated_at":"2021-09-30T09:29:49.562Z","grant_id":422,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF DBI 0641025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6665,"fairsharing_record_id":1044,"organisation_id":2809,"relation":"maintains","created_at":"2021-09-30T09:28:09.446Z","updated_at":"2021-09-30T09:28:09.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6669,"fairsharing_record_id":1044,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:09.575Z","updated_at":"2021-09-30T09:30:29.176Z","grant_id":731,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HG002659","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6666,"fairsharing_record_id":1044,"organisation_id":2809,"relation":"funds","created_at":"2021-09-30T09:28:09.467Z","updated_at":"2021-09-30T09:32:26.637Z","grant_id":1622,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","grant":"NSF EF-0423641","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1045","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:37:54.724Z","metadata":{"doi":"10.25504/FAIRsharing.6xwdvb","name":"International Classification of External Causes of Injury","status":"ready","contacts":[{"contact_name":"Marijke W. de Kleijn - de Vrankrijker","contact_email":"marijke.de.kleijn@rivm.nl"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-of-external-causes-of-injury","identifier":1045,"description":"The International Classification of External Causes of Injury (ICECI) was created to enable the classification of external causes of injuries. It is designed to help researchers and prevention practitioners to describe, measure and monitor the occurrence of injuries and to investigate their circumstances of occurrence using an internally agreed classification. Criteria underlying the classification are: a separate coding axis for each main concept, usefulness for injury prevention, useability in may types of settings (many parts of the world; emergency departments and other places where data are collected), comparability and complementarity with the ICD-10.","abbreviation":"ICECI","support_links":[{"url":"who-fic@rivm.nl","name":"WHO-FIC General Contact","type":"Support email"},{"url":"https://www.whofic.nl/en/family-of-international-classifications/related-classifications/iceci","name":"About ICECI","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ICECI","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1998,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICECI","name":"ICECI","portal":"BioPortal"}]},"legacy_ids":["bsg-002661","bsg-s002661"],"name":"FAIRsharing record for: International Classification of External Causes of Injury","abbreviation":"ICECI","url":"https://fairsharing.org/10.25504/FAIRsharing.6xwdvb","doi":"10.25504/FAIRsharing.6xwdvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of External Causes of Injury (ICECI) was created to enable the classification of external causes of injuries. It is designed to help researchers and prevention practitioners to describe, measure and monitor the occurrence of injuries and to investigate their circumstances of occurrence using an internally agreed classification. Criteria underlying the classification are: a separate coding axis for each main concept, usefulness for injury prevention, useability in may types of settings (many parts of the world; emergency departments and other places where data are collected), comparability and complementarity with the ICD-10.","linked_records":[],"linking_records":[{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16785}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Primary Health Care","Biomedical Science"],"domains":["Electronic health record","Classification","Injury"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6670,"fairsharing_record_id":1045,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:09.618Z","updated_at":"2021-09-30T09:28:09.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6671,"fairsharing_record_id":1045,"organisation_id":3232,"relation":"maintains","created_at":"2021-09-30T09:28:09.658Z","updated_at":"2021-09-30T09:28:09.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":3232,"name":"WHO-FIC Collaborating Centre, Centre for Health Knowledge Integration, National Institute for Public Health and the Environment, Bilthoven, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1058","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T09:09:04.992Z","metadata":{"doi":"10.25504/FAIRsharing.qzrbk","name":"Taxonomic Concept transfer Schema","status":"ready","contacts":[{"contact_name":"Richard L. Pyle","contact_email":"deepreef@bishopmuseum.org"}],"homepage":"http://www.tdwg.org/standards/117/","citations":[],"identifier":1058,"description":"The development of an abstract model for a taxonomic concept, which can capture the various models represented and understood by the various data providers, is central to this project. This model is presented as an XML schema document that is proposed as a standard to allow exchange of data between different data models. It aims to capture data as understood by the data owners without distortion, and facilitate the query of different data resources according to the common schema model. The TCS schema was conceived to allow the representation of taxonomic concepts as defined in published taxonomic classifications, revisions and databases. As such, it specifies the structure for XML documents to be used for the transfer of defined concepts. Valid transfer documents may either explicitly detail the defining components of taxon concepts, transfer GUIDs referring to defined taxon concepts (if and when these are available) or a mixture of the two.","abbreviation":"TCS","support_links":[{"url":"https://github.com/tdwg/tnc","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-000199","bsg-s000199"],"name":"FAIRsharing record for: Taxonomic Concept transfer Schema","abbreviation":"TCS","url":"https://fairsharing.org/10.25504/FAIRsharing.qzrbk","doi":"10.25504/FAIRsharing.qzrbk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The development of an abstract model for a taxonomic concept, which can capture the various models represented and understood by the various data providers, is central to this project. This model is presented as an XML schema document that is proposed as a standard to allow exchange of data between different data models. It aims to capture data as understood by the data owners without distortion, and facilitate the query of different data resources according to the common schema model. The TCS schema was conceived to allow the representation of taxonomic concepts as defined in published taxonomic classifications, revisions and databases. As such, it specifies the structure for XML documents to be used for the transfer of defined concepts. Valid transfer documents may either explicitly detail the defining components of taxon concepts, transfer GUIDs referring to defined taxon concepts (if and when these are available) or a mixture of the two.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12266}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1241,"pubmed_id":26877662,"title":"A common registration-to-publication automated pipeline for nomenclatural acts for higher plants (International Plant Names Index, IPNI), fungi (Index Fungorum, MycoBank) and animals (ZooBank).","year":2016,"url":"http://doi.org/10.3897/zookeys.550.9551","authors":"Penev L,Paton A,Nicolson N,Kirk P,Pyle RL,Whitton R,Georgiev T,Barker C,Hopkins C,Robert V,Biserkov J,Stoev P","journal":"Zookeys","doi":"10.3897/zookeys.550.9551","created_at":"2021-09-30T08:24:38.442Z","updated_at":"2021-09-30T08:24:38.442Z"}],"licence_links":[],"grants":[{"id":6689,"fairsharing_record_id":1058,"organisation_id":2707,"relation":"maintains","created_at":"2021-09-30T09:28:10.317Z","updated_at":"2021-09-30T09:28:10.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":2707,"name":"Taxonomic Names and Concepts interest group (TDWG)","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1059","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T20:37:40.000Z","updated_at":"2023-09-29T11:55:01.296Z","metadata":{"doi":"10.25504/FAIRsharing.82bd49","name":"Language resource management -- Semantic annotation framework (SemAF) -- Part 4: Semantic roles (SemAF-SR)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/56866.html","citations":[],"identifier":1059,"description":"The aim of ISO 24617-4:2014 is to propose a consensual annotation scheme for semantic roles; that is to say, a scheme that indicates the role that a participant plays in an event or state, as described mostly by a verb, and typically providing answers to questions such as \"?who' did ?what' to ?whom'\", and ?when', ?where', ?why', and ?how'. This includes not only the semantic relations between a verb and its arguments but also those relations that are relevant for other predicative elements such as nominalizations, nouns, adjectives, and predicate modifiers; the predicating role of adverbs and the use of coercion fall outside the scope of ISO 24617-4:2014.","abbreviation":"ISO 24617-4:2014","year_creation":2014},"legacy_ids":["bsg-001265","bsg-s001265"],"name":"FAIRsharing record for: Language resource management -- Semantic annotation framework (SemAF) -- Part 4: Semantic roles (SemAF-SR)","abbreviation":"ISO 24617-4:2014","url":"https://fairsharing.org/10.25504/FAIRsharing.82bd49","doi":"10.25504/FAIRsharing.82bd49","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of ISO 24617-4:2014 is to propose a consensual annotation scheme for semantic roles; that is to say, a scheme that indicates the role that a participant plays in an event or state, as described mostly by a verb, and typically providing answers to questions such as \"?who' did ?what' to ?whom'\", and ?when', ?where', ?why', and ?how'. This includes not only the semantic relations between a verb and its arguments but also those relations that are relevant for other predicative elements such as nominalizations, nouns, adjectives, and predicate modifiers; the predicating role of adverbs and the use of coercion fall outside the scope of ISO 24617-4:2014.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":895,"relation":"undefined"}],"grants":[{"id":10937,"fairsharing_record_id":1059,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:47:24.520Z","updated_at":"2023-09-27T14:47:24.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6690,"fairsharing_record_id":1059,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:10.346Z","updated_at":"2021-09-30T09:28:10.346Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1060","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:47.297Z","metadata":{"doi":"10.25504/FAIRsharing.sw9xbj","name":"Expressed Sequence Annotation for Humans","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"evoc@sanbi.ac.za"}],"homepage":"http://www.obofoundry.org/ontology/ev.html","identifier":1060,"description":"Expressed Sequence Annotation for Humans provides structured controlled vocabularies for the annotation of expressed sequences with respect to anatomical system, cell type, developmental stage, experimental technique, microarray platform, pathology, pooling, tissue preparation and treatment. This record is no longer being maintained.","abbreviation":"eVOC","deprecation_date":"2016-03-09","deprecation_reason":"This resource is no longer maintained and has been listed as deprecated by the OBO Foundry (http://obofoundry.org/ontology/ev.html). Please see the FAIRsharing record for the Sequence Ontology (https://biosharing.org/bsg-000046) for a possible alternative."},"legacy_ids":["bsg-000132","bsg-s000132"],"name":"FAIRsharing record for: Expressed Sequence Annotation for Humans","abbreviation":"eVOC","url":"https://fairsharing.org/10.25504/FAIRsharing.sw9xbj","doi":"10.25504/FAIRsharing.sw9xbj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Expressed Sequence Annotation for Humans provides structured controlled vocabularies for the annotation of expressed sequences with respect to anatomical system, cell type, developmental stage, experimental technique, microarray platform, pathology, pooling, tissue preparation and treatment. This record is no longer being maintained.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Life Science"],"domains":["Sequence feature","Transcript"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["South Africa"],"publications":[],"licence_links":[],"grants":[{"id":6691,"fairsharing_record_id":1060,"organisation_id":2597,"relation":"maintains","created_at":"2021-09-30T09:28:10.371Z","updated_at":"2021-09-30T09:28:10.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":2597,"name":"South African National Bioinformatics Institute, University of Western Cape, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1061","type":"fairsharing_records","attributes":{"created_at":"2020-02-26T11:49:41.000Z","updated_at":"2022-07-20T12:52:04.762Z","metadata":{"doi":"10.25504/FAIRsharing.9ed958","name":"ENA Sequence XML Schema","status":"ready","contacts":[{"contact_name":"EBI Helpdesk","contact_email":"support@ebi.ac.uk"}],"homepage":"https://ena-docs.readthedocs.io/en/latest/submit/general-guide/programmatic.html","identifier":1061,"description":"ENA Sequence XML Schema is a standardised XML schema for nucleotide sequences. All assembled and annotated sequences must conform to this schema.","abbreviation":"ENA EMBL XSD","support_links":[{"url":"https://www.ebi.ac.uk/ena/submit/sequence-format","name":"Assembled and Annotated Sequences","type":"Help documentation"}]},"legacy_ids":["bsg-001452","bsg-s001452"],"name":"FAIRsharing record for: ENA Sequence XML Schema","abbreviation":"ENA EMBL XSD","url":"https://fairsharing.org/10.25504/FAIRsharing.9ed958","doi":"10.25504/FAIRsharing.9ed958","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ENA Sequence XML Schema is a standardised XML schema for nucleotide sequences. All assembled and annotated sequences must conform to this schema.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12561}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Genetics"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Nucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2340,"relation":"undefined"}],"grants":[{"id":6693,"fairsharing_record_id":1061,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:10.420Z","updated_at":"2021-09-30T09:28:10.420Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1062","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2021-11-24T13:17:20.923Z","metadata":{"doi":"10.25504/FAIRsharing.cjzx96","name":"Genetic Testing Ontology","status":"deprecated","contacts":[{"contact_name":"Qian Zhu","contact_email":"qianzhu@umbc.edu"}],"homepage":"http://qianzhu-lab.umbc.edu/","identifier":1062,"description":"The Genetic Test Ontology (GTO) was created with the aim of filling the gap between the large volume of available genetic tests and insufficient usage of these genetic tests. The GTO was built on top of a meta-ontology by populating specific genetic testing data. Literature data from SemMedDB has been extracted and integrated into the GTO to provide scientific evidence.","abbreviation":"GTO","year_creation":2015,"deprecation_date":"2021-03-24","deprecation_reason":"This resource is no longer available, either from the project page or from BioPortal."},"legacy_ids":["bsg-000773","bsg-s000773"],"name":"FAIRsharing record for: Genetic Testing Ontology","abbreviation":"GTO","url":"https://fairsharing.org/10.25504/FAIRsharing.cjzx96","doi":"10.25504/FAIRsharing.cjzx96","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genetic Test Ontology (GTO) was created with the aim of filling the gap between the large volume of available genetic tests and insufficient usage of these genetic tests. The GTO was built on top of a meta-ontology by populating specific genetic testing data. Literature data from SemMedDB has been extracted and integrated into the GTO to provide scientific evidence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Human Genetics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2306,"pubmed_id":null,"title":"Scientific Evidence Based Genetic Testing Ontology Development towards Individualized Medicine","year":2015,"url":"http://www.jscimedcentral.com/TranslationalMedicine/translationalmedicine-3-1040.pdf","authors":"Li P, Liu H, Zhu Q","journal":"J Transl Med Epidemiol","doi":null,"created_at":"2021-09-30T08:26:42.869Z","updated_at":"2021-09-30T08:26:42.869Z"}],"licence_links":[],"grants":[{"id":6694,"fairsharing_record_id":1062,"organisation_id":246,"relation":"maintains","created_at":"2021-09-30T09:28:10.448Z","updated_at":"2021-09-30T09:28:10.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":246,"name":"Bioinformatics Lab, University of Maryland, Baltimore County, Baltimore, MD, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1036","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-07T16:03:37.837Z","metadata":{"doi":"10.25504/FAIRsharing.62qk8w","name":"Chemical Entities of Biological Interest","status":"ready","contacts":[{"contact_name":"Venkat","contact_email":"venkat@ebi.ac.uk","contact_orcid":"0000-0002-6850-9888"}],"homepage":"http://www.ebi.ac.uk/chebi/","citations":[{"doi":"10.1093/nar/gkv1031","pubmed_id":26467479,"publication_id":1105}],"identifier":1036,"description":"Chemical Entities of Biological Interest (ChEBI) is a free dictionary that describes 'small’ chemical compounds. These compound includes distinct synthetic or natural atoms, molecules, ions, ion pair, radicals, radical ions, complexes, conformers, etc.. These molecular entities can interact with or affect the processes of living organisms.","abbreviation":"ChEBI","support_links":[{"url":"https://www.ebi.ac.uk/chebi/entityMonthForward.do","name":"Entity of the Month","type":"Blog/News"},{"url":"https://docs.google.com/document/d/1zftGTqpsyRM2eBFQm6krb6ZmxJo6EYr-nGb7TBLYViU/edit","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://docs.google.com/document/d/11G6SmTtQRQYFT7l9h5K0faUHiAaekcLeOweMOOTIpME/edit","name":"Developer Manual","type":"Help documentation"},{"url":"https://docs.google.com/document/d/1_w-DwBdCCOh1gMeeP6yqGzcnkpbHYOa3AGSODe5epcg/edit","name":"User Manual","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/chebi/periodicTableMolecularEntitiesForward.do","name":"ChEBI Periodic Table","type":"Help documentation"},{"url":"https://docs.google.com/document/d/1EZHaOEl-iPZPbqD_GRyIetDoA4U8U2SPr9Qk6RKVRc0/edit","name":"Annotation Manual","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/chebi/statisticsForward.do","name":"Statistics","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/chebi-quick-tour","name":"ChEBI: Quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/chebi-the-online-chemical-dictionary-for-small-molecules","name":"ChEBI: The online chemical dictionary for small molecules","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/course-list?field_course_subject_area_tid%5B%5D=11","name":"ChEBI Training","type":"Training documentation"},{"url":"http://www.ebi.ac.uk/training/online/course-list?field_course_subject_area_tid%5B%5D=11","name":"Train Online: ChEBI","type":"Training documentation"},{"url":"http://www.ebi.ac.uk/training/online/course/chebi-online-chemical-dictionary-small-molecules","name":"Online Course","type":"Training documentation"},{"url":"https://twitter.com/chebit","name":"@chebit","type":"Twitter"}],"year_creation":2006,"associated_tools":[{"url":"https://www.ebi.ac.uk/chebi/tools/binche/","name":"BiNChE 0.2.5"},{"url":"https://www.ebi.ac.uk/chebi/libchebi.do","name":"libChEBI"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEBI","name":"CHEBI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/chebi.html","name":"chebi","portal":"OBO Foundry"},{"url":"https://www.re3data.org/repository/r3d100012626","name":"re3data:r3d100012626","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002088","name":"SciCrunch:RRID:SCR_002088","portal":"SciCrunch"}]},"legacy_ids":["bsg-000039","bsg-s000039"],"name":"FAIRsharing record for: Chemical Entities of Biological Interest","abbreviation":"ChEBI","url":"https://fairsharing.org/10.25504/FAIRsharing.62qk8w","doi":"10.25504/FAIRsharing.62qk8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chemical Entities of Biological Interest (ChEBI) is a free dictionary that describes 'small’ chemical compounds. These compound includes distinct synthetic or natural atoms, molecules, ions, ion pair, radicals, radical ions, complexes, conformers, etc.. These molecular entities can interact with or affect the processes of living organisms.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18252},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10864},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11138},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11312},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11707},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11827},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11919},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12195},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13277},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17989},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16211},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16986}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Chemistry"],"domains":["Molecular structure","Taxonomic classification","Molecular entity","Small molecule","Natural product"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1093,"pubmed_id":19496059,"title":"ChEBI: an open bioinformatics and cheminformatics resource.","year":2009,"url":"http://doi.org/10.1002/0471250953.bi1409s26","authors":"Degtyarenko K,Hastings J,de Matos P,Ennis M","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi1409s26","created_at":"2021-09-30T08:24:21.022Z","updated_at":"2021-09-30T08:24:21.022Z"},{"id":1104,"pubmed_id":17932057,"title":"ChEBI: a database and ontology for chemical entities of biological interest.","year":2007,"url":"http://doi.org/10.1093/nar/gkm791","authors":"Degtyarenko K,de Matos P,Ennis M,Hastings J,Zbinden M,McNaught A,Alcantara R,Darsow M,Guedj M,Ashburner M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm791","created_at":"2021-09-30T08:24:22.322Z","updated_at":"2021-09-30T11:28:58.576Z"},{"id":1105,"pubmed_id":26467479,"title":"ChEBI in 2016: Improved services and an expanding collection of metabolites.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1031","authors":"Hastings J,Owen G,Dekker A,Ennis M,Kale N,Muthukrishnan V,Turner S,Swainston N,Mendes P,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1031","created_at":"2021-09-30T08:24:22.437Z","updated_at":"2021-09-30T11:28:58.676Z"},{"id":1968,"pubmed_id":19854951,"title":"Chemical Entities of Biological Interest: an update.","year":2009,"url":"http://doi.org/10.1093/nar/gkp886","authors":"de Matos P,Alcantara R,Dekker A,Ennis M,Hastings J,Haug K,Spiteri I,Turner S,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp886","created_at":"2021-09-30T08:26:01.504Z","updated_at":"2021-09-30T11:29:24.912Z"},{"id":2207,"pubmed_id":23180789,"title":"The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1146","authors":"Hastings J,de Matos P,Dekker A,Ennis M,Harsha B,Kale N,Muthukrishnan V,Owen G,Turner S,Williams M,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1146","created_at":"2021-09-30T08:26:28.748Z","updated_at":"2021-09-30T11:29:30.886Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":288,"relation":"undefined"}],"grants":[{"id":6651,"fairsharing_record_id":1036,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:08.984Z","updated_at":"2021-09-30T09:28:08.984Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6654,"fairsharing_record_id":1036,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:28:09.141Z","updated_at":"2021-09-30T09:29:34.272Z","grant_id":305,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6652,"fairsharing_record_id":1036,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:09.024Z","updated_at":"2021-09-30T09:30:00.878Z","grant_id":513,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K019783/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8264,"fairsharing_record_id":1036,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:49.531Z","updated_at":"2021-09-30T09:31:49.582Z","grant_id":1344,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022747/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9295,"fairsharing_record_id":1036,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.489Z","updated_at":"2022-04-11T12:07:28.506Z","grant_id":474,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1037","type":"fairsharing_records","attributes":{"created_at":"2017-03-01T13:14:19.000Z","updated_at":"2021-11-24T13:18:44.143Z","metadata":{"doi":"10.25504/FAIRsharing.c12tyk","name":"mzTab","status":"ready","contacts":[{"contact_email":"psidev-pi-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/mztab","identifier":1037,"description":"The aim of the format is to present the results of a proteomics experiment in a computationally accessible overview. The aim is not to provide the detailed evidence for these results, or allow recreating the process which led to the results. Both of these functions are established through links to more detailed representations in other formats, in particular mzIdentML and mzQuantML. mzTab is meant to be a light-weight, tab-delimited file format for proteomics data. The target audience for this format are primarily researchers outside of proteomics. It should be easy to parse and only contain the minimal information required to evaluate the results of a proteomics experiment. One of the goals of this file format is that it, for example, should be possible for a biologist to open such a file in Excel and still be able to \"see\" the data. This format should also become a way to disseminate proteomics results through protocols such as DAS.","abbreviation":"mzTab","support_links":[{"url":"https://github.com/HUPO-PSI/mzTab/wiki","type":"Github"},{"url":"https://github.com/HUPO-PSI/mzTab","type":"Github"}],"year_creation":2012,"associated_tools":[{"url":"https://github.com/PRIDE-Utilities/jmzTab","name":"jmzTab"},{"url":"http://genome.tugraz.at/lda/lda_description.shtml","name":"LipidDataAnalyzer"},{"url":"http://www.openms.de/","name":"OpenMS"},{"url":"http://www.bioconductor.org/packages/2.9/bioc/html/MSnbase.html","name":"MSnBase"},{"url":"http://code.google.com/p/pride-converter-2/","name":"Pride Converter 2"},{"url":"http://www.biochem.mpg.de/5111795/maxquant","name":"MaxQuant"},{"url":"https://github.com/mpc-bioinformatics/pia","name":"PIA"}]},"legacy_ids":["bsg-000693","bsg-s000693"],"name":"FAIRsharing record for: mzTab","abbreviation":"mzTab","url":"https://fairsharing.org/10.25504/FAIRsharing.c12tyk","doi":"10.25504/FAIRsharing.c12tyk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of the format is to present the results of a proteomics experiment in a computationally accessible overview. The aim is not to provide the detailed evidence for these results, or allow recreating the process which led to the results. Both of these functions are established through links to more detailed representations in other formats, in particular mzIdentML and mzQuantML. mzTab is meant to be a light-weight, tab-delimited file format for proteomics data. The target audience for this format are primarily researchers outside of proteomics. It should be easy to parse and only contain the minimal information required to evaluate the results of a proteomics experiment. One of the goals of this file format is that it, for example, should be possible for a biologist to open such a file in Excel and still be able to \"see\" the data. This format should also become a way to disseminate proteomics results through protocols such as DAS.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11449},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12083},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16912}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","China","Germany","Switzerland","United Kingdom","United States"],"publications":[{"id":2006,"pubmed_id":24980485,"title":"The mzTab data exchange format: communicating mass-spectrometry-based proteomics and metabolomics experimental results to a wider audience.","year":2014,"url":"http://doi.org/10.1074/mcp.O113.036681","authors":"Griss J,Jones AR,Sachsenberg T,Walzer M,Gatto L,Hartler J,Thallinger GG,Salek RM,Steinbeck C,Neuhauser N,Cox J,Neumann S,Fan J,Reisinger F,Xu QW,Del Toro N,Perez-Riverol Y,Ghali F,Bandeira N,Xenarios I,Kohlbacher O,Vizcaino JA,Hermjakob H","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O113.036681","created_at":"2021-09-30T08:26:05.932Z","updated_at":"2021-09-30T08:26:05.932Z"}],"licence_links":[],"grants":[{"id":6655,"fairsharing_record_id":1037,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:09.170Z","updated_at":"2021-09-30T09:28:09.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1038","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.922Z","metadata":{"doi":"10.25504/FAIRsharing.t9fvdn","name":"Animal natural history and life history","status":"ready","contacts":[{"contact_name":"Animal Diversity Web technical staff","contact_email":"adw.staff@umich.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1530","identifier":1038,"description":"An ontology for animal life history and natural history characteristics suitable for populations and higher taxonomic entities.","abbreviation":"ADW","support_links":[{"url":"ExploreData@Quaardvark","type":"Support email"}],"year_creation":2004,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ADW","name":"ADW","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/adw.html","name":"adw","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002685","bsg-s002685"],"name":"FAIRsharing record for: Animal natural history and life history","abbreviation":"ADW","url":"https://fairsharing.org/10.25504/FAIRsharing.t9fvdn","doi":"10.25504/FAIRsharing.t9fvdn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for animal life history and natural history characteristics suitable for populations and higher taxonomic entities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1050","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T12:00:22.357Z","metadata":{"doi":"10.25504/FAIRsharing.9zpcgj","name":"Amino Acid Ontology","status":"ready","contacts":[{"contact_name":"Phil Lord","contact_email":"phillip.lord@russet.org.uk"}],"homepage":"https://bioportal.bioontology.org/ontologies/AMINO-ACID","citations":[],"identifier":1050,"description":"Amino Acid Ontology is an ontology of amino acids and their properties. It captures how biochemists talk about amino acids; that is, it is a conceptualisation of amino acids. This ontology smoothens out the way in which amino acids are described as the chemical reality tends to obscure rather than reveal what may be considered important features of amino acids. This ontology serves as a demonstration of a move towards a sort of mass production of axiomatically rich ontologies.","abbreviation":null,"support_links":[{"url":"admin@co-ode.org","name":"General contact","type":"Support email"},{"url":"http://ceur-ws.org/Vol-903/paper-06.html","type":"Help documentation"},{"url":"https://robertdavidstevens.wordpress.com/2012/05/19/an-expedition-in-semantic-publishing/","type":"Help documentation"},{"url":"https://robertdavidstevens.wordpress.com/2010/12/18/an-update-to-the-amino-acids-ontology/","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AMINO-ACID","name":"AMINO-ACID","portal":"BioPortal"}]},"legacy_ids":["bsg-002629","bsg-s002629"],"name":"FAIRsharing record for: Amino Acid Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9zpcgj","doi":"10.25504/FAIRsharing.9zpcgj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Amino Acid Ontology is an ontology of amino acids and their properties. It captures how biochemists talk about amino acids; that is, it is a conceptualisation of amino acids. This ontology smoothens out the way in which amino acids are described as the chemical reality tends to obscure rather than reveal what may be considered important features of amino acids. This ontology serves as a demonstration of a move towards a sort of mass production of axiomatically rich ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":8721,"fairsharing_record_id":1050,"organisation_id":3086,"relation":"maintains","created_at":"2022-01-10T16:00:49.482Z","updated_at":"2022-01-10T16:00:49.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1051","type":"fairsharing_records","attributes":{"created_at":"2021-01-13T14:08:33.000Z","updated_at":"2023-09-29T11:55:02.584Z","metadata":{"doi":"10.25504/FAIRsharing.a6b18c","name":"ISO 19115-2:2019 Geographic information — Metadata — Part 2: Extensions for acquisition and processing","status":"ready","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/67039.html","citations":[],"identifier":1051,"description":"ISO 19115-2:2019 Geographic information — Metadata — Part 2: \"Extensions for acquisition and processing\" provides the structure needed to more extensively describe the acquisition and processing of geographic information from all sources. This structure is intended to augment ISO 19115-1. This document replaces the previous edition (ISO 19115-2:2009), which focused on metadata for imagery and gridded data. During the revision process it was noted that this metadata applied to the acquisition and processing of geographic information from all sources, not just imagery and gridded data. Therefore, the name of the standard was updated to reflect this.","abbreviation":"ISO 19115-2:2019","year_creation":2019},"legacy_ids":["bsg-001579","bsg-s001579"],"name":"FAIRsharing record for: ISO 19115-2:2019 Geographic information — Metadata — Part 2: Extensions for acquisition and processing","abbreviation":"ISO 19115-2:2019","url":"https://fairsharing.org/10.25504/FAIRsharing.a6b18c","doi":"10.25504/FAIRsharing.a6b18c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115-2:2019 Geographic information — Metadata — Part 2: \"Extensions for acquisition and processing\" provides the structure needed to more extensively describe the acquisition and processing of geographic information from all sources. This structure is intended to augment ISO 19115-1. This document replaces the previous edition (ISO 19115-2:2009), which focused on metadata for imagery and gridded data. During the revision process it was noted that this metadata applied to the acquisition and processing of geographic information from all sources, not just imagery and gridded data. Therefore, the name of the standard was updated to reflect this.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location","Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1887,"relation":"undefined"}],"grants":[{"id":6677,"fairsharing_record_id":1051,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:28:09.942Z","updated_at":"2021-09-30T09:28:09.942Z","grant_id":null,"is_lead":true,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10943,"fairsharing_record_id":1051,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:50:38.197Z","updated_at":"2023-09-27T14:50:38.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1052","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T16:00:14.000Z","updated_at":"2023-09-29T11:55:02.319Z","metadata":{"doi":"10.25504/FAIRsharing.728ffd","name":"ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories","status":"ready","contacts":[{"contact_name":"Cristina Draghici","contact_email":"draghici@iso.org"}],"homepage":"https://www.iso.org/standard/66912.html","citations":[],"identifier":1052,"description":"ISO/IEC 17025:2017 specifies the general requirements for the competence, impartiality and consistent operation of laboratories. ISO/IEC 17025:2017 is applicable to all organizations performing laboratory activities, regardless of the number of personnel. Laboratory customers, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others use ISO/IEC 17025:2017 in confirming or recognizing the competence of laboratories.","abbreviation":"ISO/IEC 17025:2017","support_links":[{"url":"https://www.iso.org/ISO-IEC-17025-testing-and-calibration-laboratories.html","name":"Testing and calibration laboratories","type":"Help documentation"},{"url":"https://www.iso.org/publication/PUB100424.html","name":"General requirements for the competence of testing and calibration laboratories","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ISO/IEC_17025","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2017},"legacy_ids":["bsg-001591","bsg-s001591"],"name":"FAIRsharing record for: ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories","abbreviation":"ISO/IEC 17025:2017","url":"https://fairsharing.org/10.25504/FAIRsharing.728ffd","doi":"10.25504/FAIRsharing.728ffd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO/IEC 17025:2017 specifies the general requirements for the competence, impartiality and consistent operation of laboratories. ISO/IEC 17025:2017 is applicable to all organizations performing laboratory activities, regardless of the number of personnel. Laboratory customers, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others use ISO/IEC 17025:2017 in confirming or recognizing the competence of laboratories.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12139}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Engineering Science","Natural Science"],"domains":["Quality control","Legal regulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":28,"relation":"undefined"}],"grants":[{"id":6678,"fairsharing_record_id":1052,"organisation_id":1560,"relation":"maintains","created_at":"2021-09-30T09:28:09.981Z","updated_at":"2021-09-30T09:28:09.981Z","grant_id":null,"is_lead":true,"saved_state":{"id":1560,"name":"ISO/CASCO Committee on conformity assessment, International Organization for Standardization","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10942,"fairsharing_record_id":1052,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:50:12.706Z","updated_at":"2023-09-27T14:50:12.706Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1053","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:52:04.656Z","metadata":{"doi":"10.25504/FAIRsharing.vq28qp","name":"Population and Community Ontology","status":"ready","contacts":[{"contact_name":"Ramona Walls","contact_email":"rlwalls2008@gmail.com","contact_orcid":"0000-0001-8815-0078"}],"homepage":"https://github.com/PopulationAndCommunityOntology/pco","identifier":1053,"description":"Population and Community Ontology (PCO) is an ontology standard for describing the collective and interacting species of any taxa such as humans or plants. PCO has useful application in community health care, plant pathology, behavioral studies, sociology, and ecology. The PCO is compliant with the Basic Formal Ontology (BFO) and is designed to be compatible with other OBO Foundry ontologies.","abbreviation":"PCO","support_links":[{"url":"https://github.com/PopulationAndCommunityOntology/pco/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"popcomm-ontology@googlegroups.com","name":"popcomm-ontology@googlegroups.com","type":"Mailing list"},{"url":"https://www.google.com/url?sa=t\u0026rct=j\u0026q=\u0026esrc=s\u0026source=web\u0026cd=4\u0026ved=2ahUKEwi7vt2c6pnjAhVKh1wKHakhACIQFjADegQIBhAC\u0026url=http%3A%2F%2Fontology.buffalo.edu%2F12%2FPCO_Nov2012.pptx\u0026usg=AOvVaw37nWc4XqEiTEo2O4Rutn64","name":"Presentation","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PCO","name":"PCO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pco.html","name":"pco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002830","bsg-s002830"],"name":"FAIRsharing record for: Population and Community Ontology","abbreviation":"PCO","url":"https://fairsharing.org/10.25504/FAIRsharing.vq28qp","doi":"10.25504/FAIRsharing.vq28qp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Population and Community Ontology (PCO) is an ontology standard for describing the collective and interacting species of any taxa such as humans or plants. PCO has useful application in community health care, plant pathology, behavioral studies, sociology, and ecology. The PCO is compliant with the Basic Formal Ontology (BFO) and is designed to be compatible with other OBO Foundry ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Ecology","Biodiversity","Community Care","Social and Behavioural Science","Population Genetics"],"domains":["Evolution"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2744,"pubmed_id":null,"title":"Meeting report: advancing practical applications of biodiversity ontologies","year":2014,"url":"https://dx.doi.org/10.1186%2F1944-3277-9-17","authors":"Ramona L Walls, Robert Guralnick, John Deck, Adam Buntzman, Pier Luigi Buttigieg, Neil Davies, Michael W Denslow, Rachel E Gallery, J Jacob Parnell, David Osumi-Sutherland, Robert J Robbins, Philippe Rocca-Serra, John Wieczorek, and Jie Zheng","journal":"Stand Genomic Sci","doi":null,"created_at":"2021-09-30T08:27:37.018Z","updated_at":"2021-09-30T08:27:37.018Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1836,"relation":"undefined"}],"grants":[{"id":6679,"fairsharing_record_id":1053,"organisation_id":3013,"relation":"maintains","created_at":"2021-09-30T09:28:10.018Z","updated_at":"2021-09-30T09:28:10.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":3013,"name":"University of Arizona, United States","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1030","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:01.080Z","metadata":{"doi":"10.25504/FAIRsharing.bgkyd7","name":"Measurement Method Ontology","status":"ready","contacts":[{"contact_name":"Mary Shimoyama","contact_email":"shimoyama@mcw.edu","contact_orcid":"0000-0003-1176-0796"}],"homepage":"http://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=MMO:0000000","identifier":1030,"description":"The Measurement Method Ontology is designed to represent the variety of methods used to make qualitative and quantitative clinical and phenotype measurements both in the clinic and with model organisms.","abbreviation":"MMO","support_links":[{"url":"http://rgd.mcw.edu/contact/index.shtml","type":"Contact form"},{"url":"http://rgd.mcw.edu/wg/help3/data/ontologies","type":"Help documentation"},{"url":"http://sourceforge.net/projects/phenoonto/","type":"Help documentation"},{"url":"https://twitter.com/ratgenome","type":"Twitter"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MMO","name":"MMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mmo.html","name":"mmo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002714","bsg-s002714"],"name":"FAIRsharing record for: Measurement Method Ontology","abbreviation":"MMO","url":"https://fairsharing.org/10.25504/FAIRsharing.bgkyd7","doi":"10.25504/FAIRsharing.bgkyd7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Measurement Method Ontology is designed to represent the variety of methods used to make qualitative and quantitative clinical and phenotype measurements both in the clinic and with model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12020},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12450}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Model organism","Phenotype"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":891,"pubmed_id":22654893,"title":"Three ontologies to define phenotype measurement data.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00087","authors":"Shimoyama M,Nigam R,McIntosh LS,Nagarajan R,Rice T,Rao DC,Dwinell MR","journal":"Front Genet","doi":"10.3389/fgene.2012.00087","created_at":"2021-09-30T08:23:58.429Z","updated_at":"2021-09-30T08:23:58.429Z"},{"id":1772,"pubmed_id":24103152,"title":"The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-26","authors":"Smith JR,Park CA,Nigam R,Laulederkind SJ,Hayman GT,Wang SJ,Lowry TF,Petri V,Pons JD,Tutaj M,Liu W,Worthey EA,Shimoyama M,Dwinell MR","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-26","created_at":"2021-09-30T08:25:38.805Z","updated_at":"2021-09-30T08:25:38.805Z"}],"licence_links":[],"grants":[{"id":7954,"fairsharing_record_id":1030,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:03.207Z","updated_at":"2021-09-30T09:30:03.293Z","grant_id":531,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7987,"fairsharing_record_id":1030,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:15.792Z","updated_at":"2021-09-30T09:30:15.862Z","grant_id":626,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL064541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6636,"fairsharing_record_id":1030,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:08.461Z","updated_at":"2021-09-30T09:28:08.461Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6639,"fairsharing_record_id":1030,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:08.541Z","updated_at":"2021-09-30T09:29:46.376Z","grant_id":395,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094286","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6638,"fairsharing_record_id":1030,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:08.510Z","updated_at":"2021-09-30T09:32:17.553Z","grant_id":1551,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9269,"fairsharing_record_id":1030,"organisation_id":2468,"relation":"maintains","created_at":"2022-04-11T12:07:26.702Z","updated_at":"2022-04-11T12:07:26.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":2468,"name":"RS Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1031","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T12:20:38.000Z","updated_at":"2023-05-05T08:40:32.422Z","metadata":{"doi":"10.25504/FAIRsharing.d7af97","name":"Regular Language for XML Next Generation","status":"ready","contacts":[],"homepage":"https://www.oasis-open.org/committees/tc_home.php?wg_abbrev=relax-ng","citations":[],"identifier":1031,"description":"RELAX NG a schema language for describing the structure and defining the elements of XML documents.","abbreviation":"RELAX NG","support_links":[{"url":"https://www.oasis-open.org/committees/relax-ng/tutorial-20011203.html","name":"Tutorial","type":"Training documentation"},{"url":"https://wiki.oasis-open.org/relax-ng/","name":"Wiki","type":"Wikipedia"},{"url":"https://www.oasis-open.org/committees/comments/index.php?wg_abbrev=relax-ng","name":"How to Comment","type":"Contact form"}],"year_creation":2001},"legacy_ids":["bsg-001262","bsg-s001262"],"name":"FAIRsharing record for: Regular Language for XML Next Generation","abbreviation":"RELAX NG","url":"https://fairsharing.org/10.25504/FAIRsharing.d7af97","doi":"10.25504/FAIRsharing.d7af97","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RELAX NG a schema language for describing the structure and defining the elements of XML documents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6640,"fairsharing_record_id":1031,"organisation_id":1525,"relation":"undefined","created_at":"2021-09-30T09:28:08.583Z","updated_at":"2021-09-30T09:28:08.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6641,"fairsharing_record_id":1031,"organisation_id":1789,"relation":"maintains","created_at":"2021-09-30T09:28:08.624Z","updated_at":"2021-09-30T09:28:08.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":1789,"name":"Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1032","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2024-02-28T13:54:52.523Z","metadata":{"doi":"10.25504/FAIRsharing.j2cgnn","name":"Autism DSM-ADI-R ontology","status":"deprecated","contacts":[{"contact_name":"Mor Peleg","contact_email":"peleg.mor@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/ADAR","citations":[],"identifier":1032,"description":"The Autism DSM-ADI-R (ADAR) ontology uses SWRL rules to infer phenotypes from ADI-R items. It includes OWL class definitions representing DSM IV diagnostic criteria for autistic disorder and ASD criteria for Autism Spectrum Disorder. The goal is to create an ontology that will allow data integration and reasoning with subject data to classify subjects, and based on this classification, to infer new knowledge on Autism Spectrum Disorder (ASD) and related neurodevelopmental disorders (NDD). They extended an existing autism ontology to allow automatic inference of ASD phenotypes and Diagnostic \u0026 Statistical Manual of Mental Disorders (DSM) criteria based on subjects’ Autism Diagnostic Interview-Revised (ADI-R) assessment data.","abbreviation":"ADAR","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ADAR","name":"ADAR","portal":"BioPortal"}],"deprecation_date":"2024-02-28","deprecation_reason":"This resource has not been updated on BioPortal since 2015, we cannot find an alternative homepage, and the contacts for the resource have not responded to our enquiries, therefore we consider this resource deprecated. Please get in touch with us if you have information about the current status of this resource."},"legacy_ids":["bsg-000934","bsg-s000934"],"name":"FAIRsharing record for: Autism DSM-ADI-R ontology","abbreviation":"ADAR","url":"https://fairsharing.org/10.25504/FAIRsharing.j2cgnn","doi":"10.25504/FAIRsharing.j2cgnn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Autism DSM-ADI-R (ADAR) ontology uses SWRL rules to infer phenotypes from ADI-R items. It includes OWL class definitions representing DSM IV diagnostic criteria for autistic disorder and ASD criteria for Autism Spectrum Disorder. The goal is to create an ontology that will allow data integration and reasoning with subject data to classify subjects, and based on this classification, to infer new knowledge on Autism Spectrum Disorder (ASD) and related neurodevelopmental disorders (NDD). They extended an existing autism ontology to allow automatic inference of ASD phenotypes and Diagnostic \u0026 Statistical Manual of Mental Disorders (DSM) criteria based on subjects’ Autism Diagnostic Interview-Revised (ADI-R) assessment data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Autistic disorder","Phenotype","Diagnosis","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel","United States"],"publications":[{"id":2064,"pubmed_id":26151311,"title":"An ontology for Autism Spectrum Disorder (ASD) to infer ASD phenotypes from Autism Diagnostic Interview-Revised data.","year":2015,"url":"http://doi.org/10.1016/j.jbi.2015.06.026","authors":"Mugzach O,Peleg M,Bagley SC,Guter SJ,Cook EH,Altman RB","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2015.06.026","created_at":"2021-09-30T08:26:12.550Z","updated_at":"2021-09-30T08:26:12.550Z"}],"licence_links":[],"grants":[{"id":6642,"fairsharing_record_id":1032,"organisation_id":719,"relation":"maintains","created_at":"2021-09-30T09:28:08.662Z","updated_at":"2021-09-30T09:28:08.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":719,"name":"Department of Information Systems, University of Haifa, Israel","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6643,"fairsharing_record_id":1032,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:28:08.700Z","updated_at":"2021-09-30T09:28:08.700Z","grant_id":null,"is_lead":false,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6644,"fairsharing_record_id":1032,"organisation_id":739,"relation":"maintains","created_at":"2021-09-30T09:28:08.742Z","updated_at":"2021-09-30T09:28:08.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":739,"name":"Department of Psychiatry, University of Illinois at Chicago, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1033","type":"fairsharing_records","attributes":{"created_at":"2019-02-20T20:09:44.000Z","updated_at":"2022-07-20T12:46:37.967Z","metadata":{"doi":"10.25504/FAIRsharing.okQOaq","name":"Energy Industry Profile (EIP) v1.1 of ISO-19115-1:2014","status":"ready","contacts":[{"contact_name":"Jay Hollingsworth","contact_email":"Jay.Hollingsworth@energistics.org"}],"homepage":"https://www.energistics.org/eip-specification/","identifier":1033,"description":"The Energy Industry Profile (EIP) of ISO 19115-1:2014 is an open, non-proprietary exchange standard for metadata used to document information resources, and in particular resources referenced to a geographic location, e.g., geospatial datasets and web services, physical resources with associated location, or mapping, interpretation, and modeling datasets. It was developed using input and requirements provided by stakeholders of the global upstream oil \u0026 gas industry, and is an ISO Conformance Level 1 profile of the widely adopted international standards ISO 19115-1:2014 which provides XML implementation guidance with reference to ISO Technical Specification 19115-3:2016.","abbreviation":"EIP","support_links":[{"url":"standards@energistics.org","name":"EIP Metadata Info","type":"Support email"},{"url":"https://www.energistics.org/energy-industry-profile-faq/","name":"EIP FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.energistics.org/metadata-reference-materials/","name":"Reference Materials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001360","bsg-s001360"],"name":"FAIRsharing record for: Energy Industry Profile (EIP) v1.1 of ISO-19115-1:2014","abbreviation":"EIP","url":"https://fairsharing.org/10.25504/FAIRsharing.okQOaq","doi":"10.25504/FAIRsharing.okQOaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Energy Industry Profile (EIP) of ISO 19115-1:2014 is an open, non-proprietary exchange standard for metadata used to document information resources, and in particular resources referenced to a geographic location, e.g., geospatial datasets and web services, physical resources with associated location, or mapping, interpretation, and modeling datasets. It was developed using input and requirements provided by stakeholders of the global upstream oil \u0026 gas industry, and is an ISO Conformance Level 1 profile of the widely adopted international standards ISO 19115-1:2014 which provides XML implementation guidance with reference to ISO Technical Specification 19115-3:2016.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Energy Engineering","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Energistics Product Use License Agreement","licence_id":280,"licence_url":"https://www.energistics.org/product-license-agreement/","link_id":875,"relation":"undefined"}],"grants":[{"id":6646,"fairsharing_record_id":1033,"organisation_id":861,"relation":"maintains","created_at":"2021-09-30T09:28:08.820Z","updated_at":"2021-09-30T09:28:08.820Z","grant_id":null,"is_lead":true,"saved_state":{"id":861,"name":"Energistics Consortium, Houston, Texas, United States","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1047","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-24T08:34:11.856Z","metadata":{"doi":"10.25504/FAIRsharing.p77ph9","name":"Resource Description Framework","status":"ready","contacts":[{"contact_name":"RDF Comments General List","contact_email":"public-rdf-comments@w3.org","contact_orcid":null}],"homepage":"https://www.w3.org/TR/rdf11-concepts/","citations":[],"identifier":1047,"description":"The Resource Description Framework (RDF) is a framework for representing information in the Web. This document defines an abstract syntax (a data model) which serves to link all RDF-based languages and specifications. The abstract syntax has two key data structures: RDF graphs are sets of subject-predicate-object triples, where the elements may be IRIs, blank nodes, or datatyped literals. They are used to express descriptions of resources. RDF datasets are used to organize collections of RDF graphs, and comprise a default graph and zero or more named graphs. RDF 1.1 Concepts and Abstract Syntax also introduces key concepts and terminology, and discusses datatyping and the handling of fragment identifiers in IRIs within RDF graphs.","abbreviation":"RDF","support_links":[{"url":"https://www.w3.org/2001/sw/wiki/RDF1.1_Errata","name":"Errata","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000559","bsg-s000559"],"name":"FAIRsharing record for: Resource Description Framework","abbreviation":"RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.p77ph9","doi":"10.25504/FAIRsharing.p77ph9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Resource Description Framework (RDF) is a framework for representing information in the Web. This document defines an abstract syntax (a data model) which serves to link all RDF-based languages and specifications. The abstract syntax has two key data structures: RDF graphs are sets of subject-predicate-object triples, where the elements may be IRIs, blank nodes, or datatyped literals. They are used to express descriptions of resources. RDF datasets are used to organize collections of RDF graphs, and comprise a default graph and zero or more named graphs. RDF 1.1 Concepts and Abstract Syntax also introduces key concepts and terminology, and discusses datatyping and the handling of fragment identifiers in IRIs within RDF graphs.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18258},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11864},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12046},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13180},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13202},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13239},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13245},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13896}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":418,"relation":"undefined"}],"grants":[{"id":11747,"fairsharing_record_id":1047,"organisation_id":3206,"relation":"maintains","created_at":"2024-04-24T08:22:11.452Z","updated_at":"2024-04-24T08:22:11.452Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2dFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--14ebea4e76c832b229dde80e84c21b79909ce52b/Screenshot%20from%202024-04-24%2009-19-48.png?disposition=inline","exhaustive_licences":true}},{"id":"1048","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:44.210Z","metadata":{"doi":"10.25504/FAIRsharing.pxvkt0","name":"Variation data representation and exchange","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"admin@varioml.org"}],"homepage":"http://varioml.org","identifier":1048,"description":"Data using the VarioML standard can be integrated with the global library of purely genetic data. VarioML is a central prerequisite for effective modelling of phenotype data and genotype-to-phenotype relationships. It removes the obstacles to the effective passing of variant data from discovery laboratories into the biomedical database world. Now all that is needed is the broad participation of the genotype-to-phenotype research community.","abbreviation":"VarioML","support_links":[{"url":"http://varioml.org/faq.htm","type":"Frequently Asked Questions (FAQs)"}]},"legacy_ids":["bsg-000298","bsg-s000298"],"name":"FAIRsharing record for: Variation data representation and exchange","abbreviation":"VarioML","url":"https://fairsharing.org/10.25504/FAIRsharing.pxvkt0","doi":"10.25504/FAIRsharing.pxvkt0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data using the VarioML standard can be integrated with the global library of purely genetic data. VarioML is a central prerequisite for effective modelling of phenotype data and genotype-to-phenotype relationships. It removes the obstacles to the effective passing of variant data from discovery laboratories into the biomedical database world. Now all that is needed is the broad participation of the genotype-to-phenotype research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":618,"pubmed_id":23031277,"title":"VarioML framework for comprehensive variation data representation and exchange","year":2012,"url":"http://doi.org/10.1186/1471-2105-13-254","authors":"Byrne M, Fokkema IF, Lancaster O, Adamusiak T, Ahonen-Bishopp A, Atlan D, Beroud C, Cornell M, Dalgleish R, Devereau A, Patrinos GP, Swertz MA, Taschner PE, Thorisson GA, Vihinen M, Brookes AJ, Muilu J","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-13-254","created_at":"2021-09-30T08:23:28.014Z","updated_at":"2021-09-30T08:23:28.014Z"}],"licence_links":[],"grants":[{"id":6673,"fairsharing_record_id":1048,"organisation_id":1098,"relation":"maintains","created_at":"2021-09-30T09:28:09.793Z","updated_at":"2021-09-30T09:28:09.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":1098,"name":"GEN2PHEN","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6674,"fairsharing_record_id":1048,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:09.834Z","updated_at":"2021-09-30T09:29:49.978Z","grant_id":425,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1049","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.878Z","metadata":{"doi":"10.25504/FAIRsharing.1evfpc","name":"Computer Retrieval of Information on Scientific Projects Thesaurus","status":"uncertain","contacts":[{"contact_name":"Anita Ghebeles","contact_email":"af8d@nih.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/1526","identifier":1049,"description":"CRISP is a terminology used for indexing biomedical information. CRISP contains over 8,000 preferred terms that are grouped hierarchically into 11 domains.","abbreviation":"CRISP","year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CRISP","name":"CRISP","portal":"BioPortal"}]},"legacy_ids":["bsg-002681","bsg-s002681"],"name":"FAIRsharing record for: Computer Retrieval of Information on Scientific Projects Thesaurus","abbreviation":"CRISP","url":"https://fairsharing.org/10.25504/FAIRsharing.1evfpc","doi":"10.25504/FAIRsharing.1evfpc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CRISP is a terminology used for indexing biomedical information. CRISP contains over 8,000 preferred terms that are grouped hierarchically into 11 domains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Social Science","Medicine","Chemical Biology","Biomedical Science","Biology"],"domains":["Food","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":903,"pubmed_id":8718842,"title":"Taking a bite out of CRISP. Strategies on using and conducting searches in the Computer Retrieval of Information on Scientific Projects database.","year":1996,"url":"https://www.ncbi.nlm.nih.gov/pubmed/8718842","authors":"Bair AH,Brown LP,Pugh LC,Borucki LC,Spatz DL","journal":"Comput Nurs","doi":null,"created_at":"2021-09-30T08:23:59.738Z","updated_at":"2021-09-30T08:23:59.738Z"}],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":476,"relation":"undefined"}],"grants":[{"id":6675,"fairsharing_record_id":1049,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:09.872Z","updated_at":"2021-09-30T09:28:09.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1055","type":"fairsharing_records","attributes":{"created_at":"2018-10-15T19:51:04.000Z","updated_at":"2022-07-20T12:27:58.124Z","metadata":{"doi":"10.25504/FAIRsharing.9614ca","name":"Cooperative Ocean-Atmosphere Research Data Service Conventions","status":"ready","contacts":[{"contact_email":"oar.pmel.contact_ferret@noaa.gov"}],"homepage":"https://ferret.pmel.noaa.gov/Ferret/documentation/coards-netcdf-conventions","identifier":1055,"description":"The COARDS conventions are a set of conventions adopted in order to promote the interchange and sharing of files created with the netCDF Application Programmer Interface (API). This standard is based upon version 2.3 of netCDF. Documentation of the netCDF API may be found in the NetCDF documentation. All conventions named in that document will be adhered to in this standard unless noted to the contrary. This standard also refers to version 1.7.1 of the Udunits standard supported by Unidata.","abbreviation":"COARDS conventions","support_links":[{"url":"https://www.unidata.ucar.edu/software/netcdf/conventions.html","name":"Unidata NetCDF Conventions","type":"Help documentation"}],"year_creation":1995},"legacy_ids":["bsg-001326","bsg-s001326"],"name":"FAIRsharing record for: Cooperative Ocean-Atmosphere Research Data Service Conventions","abbreviation":"COARDS conventions","url":"https://fairsharing.org/10.25504/FAIRsharing.9614ca","doi":"10.25504/FAIRsharing.9614ca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COARDS conventions are a set of conventions adopted in order to promote the interchange and sharing of files created with the netCDF Application Programmer Interface (API). This standard is based upon version 2.3 of netCDF. Documentation of the netCDF API may be found in the NetCDF documentation. All conventions named in that document will be adhered to in this standard unless noted to the contrary. This standard also refers to version 1.7.1 of the Udunits standard supported by Unidata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Atmospheric Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6681,"fairsharing_record_id":1055,"organisation_id":2056,"relation":"maintains","created_at":"2021-09-30T09:28:10.096Z","updated_at":"2021-09-30T09:28:10.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6680,"fairsharing_record_id":1055,"organisation_id":609,"relation":"maintains","created_at":"2021-09-30T09:28:10.060Z","updated_at":"2021-09-30T09:28:10.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":609,"name":"Cooperative Institute for Research in Environmental Science, University of Colorado Boulder, Boulder, CO, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6682,"fairsharing_record_id":1055,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:28:10.129Z","updated_at":"2021-09-30T09:28:10.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1056","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-26T08:34:22.248Z","metadata":{"doi":"10.25504/FAIRsharing.sjhvyy","name":"CHEMical INFormation Ontology","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@gmail.com","contact_orcid":"0000-0001-7542-0286"}],"homepage":"https://github.com/semanticchemistry/semanticchemistry","citations":[{"doi":"10.1371/journal.pone.0025513","pubmed_id":21991315,"publication_id":1008}],"identifier":1056,"description":"The Chemical Information Ontology (CHEMINF) aims to establish a standard in representing chemical information. In particular, it aims to produce an ontology to represent chemical structure and to richly describe chemical properties, whether intrinsic or computed.","abbreviation":"CHEMINF","support_links":[{"url":"https://github.com/semanticchemistry/semanticchemistry/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEMINF","name":"CHEMINF","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cheminf.html","name":"cheminf","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000040","bsg-s000040"],"name":"FAIRsharing record for: CHEMical INFormation Ontology","abbreviation":"CHEMINF","url":"https://fairsharing.org/10.25504/FAIRsharing.sjhvyy","doi":"10.25504/FAIRsharing.sjhvyy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chemical Information Ontology (CHEMINF) aims to establish a standard in representing chemical information. In particular, it aims to produce an ontology to represent chemical structure and to richly describe chemical properties, whether intrinsic or computed.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18254},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11708},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11942}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":1008,"pubmed_id":21991315,"title":"The chemical information ontology: provenance and disambiguation for chemical data on the biological semantic web.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0025513","authors":"Hastings J,Chepelev L,Willighagen E,Adams N,Steinbeck C,Dumontier M","journal":"PLoS One","doi":"10.1371/journal.pone.0025513","created_at":"2021-09-30T08:24:11.621Z","updated_at":"2021-09-30T08:24:11.621Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3564,"relation":"applies_to_content"}],"grants":[{"id":6684,"fairsharing_record_id":1056,"organisation_id":1959,"relation":"maintains","created_at":"2021-09-30T09:28:10.178Z","updated_at":"2021-09-30T09:28:10.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6686,"fairsharing_record_id":1056,"organisation_id":3159,"relation":"funds","created_at":"2021-09-30T09:28:10.226Z","updated_at":"2021-09-30T09:29:18.626Z","grant_id":189,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","grant":"KoF 07","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6683,"fairsharing_record_id":1056,"organisation_id":500,"relation":"maintains","created_at":"2021-09-30T09:28:10.153Z","updated_at":"2021-09-30T09:28:10.153Z","grant_id":null,"is_lead":true,"saved_state":{"id":500,"name":"Chemical Information Ontology (CHEMINF) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6685,"fairsharing_record_id":1056,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:28:10.203Z","updated_at":"2021-09-30T09:28:10.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6687,"fairsharing_record_id":1056,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:10.254Z","updated_at":"2021-09-30T09:31:49.600Z","grant_id":1344,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022747/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1057","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:52:04.512Z","metadata":{"doi":"10.25504/FAIRsharing.4ghkfj","name":"Library of Congress Genre/Form Terms for Library and Archival Materials","status":"ready","homepage":"https://id.loc.gov/authorities/genreForms.html","identifier":1057,"description":"The Library of Congress Genre/Form Terms for Library and Archival Materials (LCGFT) is a thesaurus that describes what a work is versus what it is about. For instance, the subject heading Horror films, with appropriate subdivisions, would be assigned to a book about horror films. A cataloger assigning headings to the movie The Texas Chainsaw Massacre would also use Horror films, but it would be a genre/form term since the movie is a horror film, not a movie about horror films. The thesaurus combines both genres and forms. Form is defined as a characteristic of works with a particular format and/or purpose. A \"short\" is a particular form, for example, as is \"animation.\" Genre refers to categories of works that are characterized by similar plots, themes, settings, situations, and characters.","abbreviation":"LCGFT","support_links":[{"url":"https://id.loc.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://www.loc.gov/catdir/cpso/genre_form_faq.pdf","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://id.loc.gov/techcenter/","name":"Download Help","type":"Help documentation"},{"url":"https://listserv.loc.gov/cgi-bin/wa?A0=ID","name":"LOC Linked Data Mailing List","type":"Mailing list"},{"url":"https://www.loc.gov/catdir/cpso/genreformgeneral.html","name":"General Documentation","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LCGFT","name":"LCGFT","portal":"BioPortal"}]},"legacy_ids":["bsg-000913","bsg-s000913"],"name":"FAIRsharing record for: Library of Congress Genre/Form Terms for Library and Archival Materials","abbreviation":"LCGFT","url":"https://fairsharing.org/10.25504/FAIRsharing.4ghkfj","doi":"10.25504/FAIRsharing.4ghkfj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Genre/Form Terms for Library and Archival Materials (LCGFT) is a thesaurus that describes what a work is versus what it is about. For instance, the subject heading Horror films, with appropriate subdivisions, would be assigned to a book about horror films. A cataloger assigning headings to the movie The Texas Chainsaw Massacre would also use Horror films, but it would be a genre/form term since the movie is a horror film, not a movie about horror films. The thesaurus combines both genres and forms. Form is defined as a characteristic of works with a particular format and/or purpose. A \"short\" is a particular form, for example, as is \"animation.\" Genre refers to categories of works that are characterized by similar plots, themes, settings, situations, and characters.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Art","Fine Arts"],"domains":["Classification"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":959,"relation":"undefined"}],"grants":[{"id":6688,"fairsharing_record_id":1057,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:10.288Z","updated_at":"2021-09-30T09:28:10.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1063","type":"fairsharing_records","attributes":{"created_at":"2018-09-03T21:21:00.000Z","updated_at":"2022-02-08T10:49:22.372Z","metadata":{"doi":"10.25504/FAIRsharing.87ccfd","name":"Simple Protocol and RDF Query Language Overview","status":"ready","contacts":[{"contact_name":"W3C SPARQL Working Group","contact_email":"public-rdf-dawg-comments@w3.org"}],"homepage":"http://www.w3.org/TR/sparql11-overview/","identifier":1063,"description":"Simple Protocol and RDF Query Language (SPARQL). This document is an overview of SPARQL 1.1. It provides an introduction to a set of W3C specifications that facilitate querying and manipulating RDF graph content on the Web or in an RDF store.","abbreviation":"SPARQL","year_creation":2004},"legacy_ids":["bsg-001269","bsg-s001269"],"name":"FAIRsharing record for: Simple Protocol and RDF Query Language Overview","abbreviation":"SPARQL","url":"https://fairsharing.org/10.25504/FAIRsharing.87ccfd","doi":"10.25504/FAIRsharing.87ccfd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Simple Protocol and RDF Query Language (SPARQL). This document is an overview of SPARQL 1.1. It provides an introduction to a set of W3C specifications that facilitate querying and manipulating RDF graph content on the Web or in an RDF store.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13181}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Resource metadata","Graph"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":637,"relation":"undefined"}],"grants":[{"id":6695,"fairsharing_record_id":1063,"organisation_id":3208,"relation":"maintains","created_at":"2021-09-30T09:28:10.480Z","updated_at":"2021-09-30T09:28:10.480Z","grant_id":null,"is_lead":true,"saved_state":{"id":3208,"name":"W3C SPARQL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1064","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T20:52:15.000Z","updated_at":"2023-09-29T11:54:55.777Z","metadata":{"doi":"10.25504/FAIRsharing.b8d42b","name":"Information processing -- Text and office systems -- Standard Generalized Markup Language (SGML)","status":"ready","contacts":[{"contact_name":"Toshiko Kimura","contact_email":"kimura@itscj.ipsj.or.jp"}],"homepage":"https://www.iso.org/standard/16387.html","citations":[],"identifier":1064,"description":"SGML / ISO 8879:1986 is an ISO standard for meta language containing both a concrete syntax for serializing SGML documents and a framework for describing document grammars.","abbreviation":"ISO 8879:1986","support_links":[{"url":"https://www.iso.org/contents/data/standard/01/63/16387.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1986},"legacy_ids":["bsg-001266","bsg-s001266"],"name":"FAIRsharing record for: Information processing -- Text and office systems -- Standard Generalized Markup Language (SGML)","abbreviation":"ISO 8879:1986","url":"https://fairsharing.org/10.25504/FAIRsharing.b8d42b","doi":"10.25504/FAIRsharing.b8d42b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SGML / ISO 8879:1986 is an ISO standard for meta language containing both a concrete syntax for serializing SGML documents and a framework for describing document grammars.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":732,"relation":"undefined"}],"grants":[{"id":6696,"fairsharing_record_id":1064,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:28:10.518Z","updated_at":"2021-09-30T09:28:10.518Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10909,"fairsharing_record_id":1064,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:04:04.080Z","updated_at":"2023-09-27T14:04:04.080Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1065","type":"fairsharing_records","attributes":{"created_at":"2016-04-07T15:05:47.000Z","updated_at":"2021-11-24T13:14:26.898Z","metadata":{"doi":"10.25504/FAIRsharing.cjyac2","name":"CDISC Clinical Trial Registry XML","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"awhite@cdisc.org","contact_orcid":"0000-0002-0612-5344"}],"homepage":"https://www.cdisc.org/standards/data-exchange/ctr-xml","identifier":1065,"description":"CTR-XML lets technology vendors implement tools that support a \"write once, use many times\" solution based on a single XML file that holds the information needed to generate submissions for multiple clinical trials for clinical trial registry submissions primarily to the World Health Organization (WHO), European Medicines Agency (EMA) EudraCT Registry and United States ClinicalTrials.gov.","abbreviation":"CDISC CTR-XML","year_creation":2016},"legacy_ids":["bsg-000646","bsg-s000646"],"name":"FAIRsharing record for: CDISC Clinical Trial Registry XML","abbreviation":"CDISC CTR-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.cjyac2","doi":"10.25504/FAIRsharing.cjyac2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CTR-XML lets technology vendors implement tools that support a \"write once, use many times\" solution based on a single XML file that holds the information needed to generate submissions for multiple clinical trials for clinical trial registry submissions primarily to the World Health Organization (WHO), European Medicines Agency (EMA) EudraCT Registry and United States ClinicalTrials.gov.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17392},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11811},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12065},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12488},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16960}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6697,"fairsharing_record_id":1065,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:10.560Z","updated_at":"2021-09-30T09:28:10.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6698,"fairsharing_record_id":1065,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:10.602Z","updated_at":"2021-09-30T09:28:10.602Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1066","type":"fairsharing_records","attributes":{"created_at":"2018-09-03T21:29:58.000Z","updated_at":"2022-02-08T10:49:24.850Z","metadata":{"doi":"10.25504/FAIRsharing.a4e736","name":"Segmentation Rules eXchange","status":"ready","contacts":[{"contact_name":"David Pooley","contact_email":"dpooley@sdl.com"}],"homepage":"https://www.gala-global.org/srx-20-april-7-2008","citations":[],"identifier":1066,"description":"The Segmentation Rules eXchange format (SRX provides a standard method to describe segmentation rules that are being exchanged among tools and/or translation vendors. SRX defines an XML vocabulary for describing the rules used for breaking a text document into smaller fragments -or segments- suitable for translation. This specification was originally published by the Localization Industry Standards Association (LISA).","abbreviation":"SRX","support_links":[{"url":"info@gala-global.org","name":"General Contact","type":"Support email"}],"year_creation":2004},"legacy_ids":["bsg-001270","bsg-s001270"],"name":"FAIRsharing record for: Segmentation Rules eXchange","abbreviation":"SRX","url":"https://fairsharing.org/10.25504/FAIRsharing.a4e736","doi":"10.25504/FAIRsharing.a4e736","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Segmentation Rules eXchange format (SRX provides a standard method to describe segmentation rules that are being exchanged among tools and/or translation vendors. SRX defines an XML vocabulary for describing the rules used for breaking a text document into smaller fragments -or segments- suitable for translation. This specification was originally published by the Localization Industry Standards Association (LISA).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Resource metadata","Free text"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":560,"relation":"undefined"}],"grants":[{"id":6699,"fairsharing_record_id":1066,"organisation_id":1174,"relation":"maintains","created_at":"2021-09-30T09:28:10.639Z","updated_at":"2021-09-30T09:28:10.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":1174,"name":"Globalization and Localization Association (GALA), Seattle, Washington, United States","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1034","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.793Z","metadata":{"doi":"10.25504/FAIRsharing.newa3z","name":"Biological SPatial Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":"0000-0002-6601-2165"}],"homepage":"http://bioportal.bioontology.org/ontologies/BSPO","identifier":1034,"description":"This ontology represents spatial concepts, anatomical axes, gradients, regions, planes, sides, and surfaces. These concepts can be used at multiple biological scales and in a diversity of taxa, including plants, animals and fungi. The BSPO is used to provide a source of anatomical location descriptors for logically defining anatomical entity classes in anatomy ontologies.","abbreviation":"BSPO","support_links":[{"url":"https://sourceforge.net/projects/obo/lists/obo-anatomy","type":"Mailing list"}],"year_creation":2013},"legacy_ids":["bsg-000007","bsg-s000007"],"name":"FAIRsharing record for: Biological SPatial Ontology","abbreviation":"BSPO","url":"https://fairsharing.org/10.25504/FAIRsharing.newa3z","doi":"10.25504/FAIRsharing.newa3z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology represents spatial concepts, anatomical axes, gradients, regions, planes, sides, and surfaces. These concepts can be used at multiple biological scales and in a diversity of taxa, including plants, animals and fungi. The BSPO is used to provide a source of anatomical location descriptors for logically defining anatomical entity classes in anatomy ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11935}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Animalia","Fungi","Plantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2659,"pubmed_id":25140222,"title":"Nose to tail, roots to shoots: spatial descriptors for phenotypic diversity in the Biological Spatial Ontology.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-34","authors":"Dahdul WM,Cui H,Mabee PM,Mungall CJ,Osumi-Sutherland D,Walls RL,Haendel MA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-34","created_at":"2021-09-30T08:27:26.538Z","updated_at":"2021-09-30T08:27:26.538Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":835,"relation":"undefined"}],"grants":[{"id":6649,"fairsharing_record_id":1034,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:08.912Z","updated_at":"2021-09-30T09:28:08.912Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6648,"fairsharing_record_id":1034,"organisation_id":378,"relation":"maintains","created_at":"2021-09-30T09:28:08.882Z","updated_at":"2021-09-30T09:28:08.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":378,"name":"CARO administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6647,"fairsharing_record_id":1034,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:08.853Z","updated_at":"2021-09-30T09:28:08.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1035","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.861Z","metadata":{"doi":"10.25504/FAIRsharing.eqgjeq","name":"Bilateria anatomy","status":"deprecated","contacts":[{"contact_name":"Yannick Haudry","contact_email":"yannick.haudry@embl.de"}],"homepage":"http://purl.bioontology.org/ontology/BILA","identifier":1035,"description":"This is a record of the Bilateria anatomy terminology and ontology. We have been unable to find any further information about this resource.","abbreviation":"BILA","deprecation_date":"2015-04-10","deprecation_reason":"This resource is no longer maintained. Please contact us via the \"Ask Question\" button at the top of this page if you have any information relating to the activity of this ontology."},"legacy_ids":["bsg-000006","bsg-s000006"],"name":"FAIRsharing record for: Bilateria anatomy","abbreviation":"BILA","url":"https://fairsharing.org/10.25504/FAIRsharing.eqgjeq","doi":"10.25504/FAIRsharing.eqgjeq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a record of the Bilateria anatomy terminology and ontology. We have been unable to find any further information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Bilateria"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1081","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:47.856Z","metadata":{"doi":"10.25504/FAIRsharing.10gr18","name":"Vertebrate Trait Ontology","status":"ready","contacts":[{"contact_name":"Jim Reecy","contact_email":"jreecy@iastate.edu"}],"homepage":"https://github.com/AnimalGenome/vertebrate-trait-ontology","identifier":1081,"description":"The Vertebrate Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to the morphology, physiology, or development of vertebrate organisms.","abbreviation":"VT","support_links":[{"url":"caripark@iastate.edu","name":"Carissa Park","type":"Support email"},{"url":"https://github.com/AnimalGenome/vertebrate-trait-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VT","name":"VT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/vt.html","name":"vt","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002749","bsg-s002749"],"name":"FAIRsharing record for: Vertebrate Trait Ontology","abbreviation":"VT","url":"https://fairsharing.org/10.25504/FAIRsharing.10gr18","doi":"10.25504/FAIRsharing.10gr18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vertebrate Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to the morphology, physiology, or development of vertebrate organisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Physiology","Developmental Biology","Physiology","Biology"],"domains":["Phenotype","Morphology"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1702,"pubmed_id":23937709,"title":"The Vertebrate Trait Ontology: a controlled vocabulary for the annotation of trait data across species.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-13","authors":"Park CA,Bello SM,Smith CL,Hu ZL,Munzenmaier DH,Nigam R,Smith JR,Shimoyama M,Eppig JT,Reecy JM","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-13","created_at":"2021-09-30T08:25:30.729Z","updated_at":"2021-09-30T08:25:30.729Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1823,"relation":"undefined"}],"grants":[{"id":6736,"fairsharing_record_id":1081,"organisation_id":3070,"relation":"maintains","created_at":"2021-09-30T09:28:12.036Z","updated_at":"2021-09-30T09:28:12.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":3070,"name":"University of Iowa","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6737,"fairsharing_record_id":1081,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:12.078Z","updated_at":"2021-09-30T09:28:12.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6738,"fairsharing_record_id":1081,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:28:12.116Z","updated_at":"2021-09-30T09:28:59.425Z","grant_id":44,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"2008-35205-18765","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1082","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:58:29.497Z","metadata":{"doi":"10.25504/FAIRsharing.h9g5pe","name":"Protein Affinity Reagent eXtensible Markup Language","status":"ready","contacts":[{"contact_email":"par@psidev.info"}],"homepage":"http://www.psidev.info/index.php?q=node/281","identifier":1082,"description":"The work on PSI-PAR was initiated as part of the ProteomeBinders project and carried out by EMBL-EBI and the PSI-MI work group. The Proteomics Standards Initiative (PSI) aims to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. For detailed information on all PSI activities, please see PSI Home Page. The PSI-PAR format is a standardized means of representing protein affinity reagent data and is designed to facilitate the exchange of information between different databases and/or LIMS systems. PSI-PAR is not a proposed database structure. The PSI-PAR format consists of the PSI-MI XML2.5 schema (originally designed for molecular interactions) and the PSI-PAR controlled vocabulary. In addition, PSI-PAR documentation and examples are available on this web page. The scope of PSI-PAR is PAR and target protein production and characterization.","abbreviation":"PSI-PAR XML","support_links":[{"url":"http://www.psidev.info/node/281","type":"Help documentation"}],"year_creation":2008,"associated_tools":[{"url":"http://www.ebi.ac.uk/intact/validator/start.xhtml","name":"PSI-MI Validator 3.1.2"},{"url":"https://sourceforge.net/projects/psidev/files/PSI-MI%20XML%20lib/","name":"Java XML parser 1.0-beta4"}]},"legacy_ids":["bsg-000137","bsg-s000137"],"name":"FAIRsharing record for: Protein Affinity Reagent eXtensible Markup Language","abbreviation":"PSI-PAR XML","url":"https://fairsharing.org/10.25504/FAIRsharing.h9g5pe","doi":"10.25504/FAIRsharing.h9g5pe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The work on PSI-PAR was initiated as part of the ProteomeBinders project and carried out by EMBL-EBI and the PSI-MI work group. The Proteomics Standards Initiative (PSI) aims to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. For detailed information on all PSI activities, please see PSI Home Page. The PSI-PAR format is a standardized means of representing protein affinity reagent data and is designed to facilitate the exchange of information between different databases and/or LIMS systems. PSI-PAR is not a proposed database structure. The PSI-PAR format consists of the PSI-MI XML2.5 schema (originally designed for molecular interactions) and the PSI-PAR controlled vocabulary. In addition, PSI-PAR documentation and examples are available on this web page. The scope of PSI-PAR is PAR and target protein production and characterization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Reagent","Affinity","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","France","Germany","Netherlands","Sweden","United Kingdom","United States"],"publications":[{"id":1391,"pubmed_id":19674966,"title":"A community standard format for the representation of protein affinity reagents.","year":2009,"url":"http://doi.org/10.1074/mcp.M900185-MCP200","authors":"Gloriam DE1, Orchard S, Bertinetti D, Björling E, Bongcam-Rudloff E, Borrebaeck CA, Bourbeillon J, Bradbury AR, de Daruvar A, Dübel S, Frank R, Gibson TJ, Gold L, Haslam N, Herberg FW, Hiltke T, Hoheisel JD, Kerrien S, Koegl M, Konthur Z, Korn B, Landegren U, Montecchi-Palazzi L, Palcy S, Rodriguez H, Schweinsberg S, Sievert V, Stoevesandt O, Taussig MJ, Ueffing M, Uhlén M, van der Maarel S, Wingren C, Woollard P, Sherman DJ, Hermjakob H.","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M900185-MCP200","created_at":"2021-09-30T08:24:55.485Z","updated_at":"2021-09-30T08:24:55.485Z"}],"licence_links":[],"grants":[{"id":6740,"fairsharing_record_id":1082,"organisation_id":2377,"relation":"funds","created_at":"2021-09-30T09:28:12.172Z","updated_at":"2021-09-30T09:31:07.640Z","grant_id":1029,"is_lead":false,"saved_state":{"id":2377,"name":"ProteomeBinders European Commission","grant":"RI-CA 026008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6741,"fairsharing_record_id":1082,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:28:12.196Z","updated_at":"2021-09-30T09:30:38.756Z","grant_id":804,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"21211","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6739,"fairsharing_record_id":1082,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:12.148Z","updated_at":"2021-09-30T09:28:12.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1083","type":"fairsharing_records","attributes":{"created_at":"2020-01-08T13:16:29.000Z","updated_at":"2022-07-20T10:32:26.427Z","metadata":{"doi":"10.25504/FAIRsharing.p1dodf","name":"Global Agricultural Concept Scheme","status":"ready","contacts":[{"contact_name":"Tom Baker","contact_email":"tom@tombaker.org"}],"homepage":"https://agrisemantics.github.io/gacs-qip/","identifier":1083,"description":"The Global Agricultural Concept Scheme (GACS) is a SKOS concept scheme with concepts and related terms used in the field of agriculture, broadly defined. GACS is developed by the Food and Agriculture Organization of the United Nations (FAO), the Centre for Agriculture and Biosciences International (CABI), and the USDA National Agricultural Library (NAL), GACS was formed at the intersection of most-frequently-used concepts from their three respective thesauri -- the AGROVOC Concept Scheme, CAB Thesaurus, and the NAL Thesaurus, for which GACS provides a mapping hub. GACS is seen as an important step towards linking and integrating agricultural data of all types to address the long-term challenge of global food security.","abbreviation":"GACS","year_creation":2014},"legacy_ids":["bsg-001426","bsg-s001426"],"name":"FAIRsharing record for: Global Agricultural Concept Scheme","abbreviation":"GACS","url":"https://fairsharing.org/10.25504/FAIRsharing.p1dodf","doi":"10.25504/FAIRsharing.p1dodf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Global Agricultural Concept Scheme (GACS) is a SKOS concept scheme with concepts and related terms used in the field of agriculture, broadly defined. GACS is developed by the Food and Agriculture Organization of the United Nations (FAO), the Centre for Agriculture and Biosciences International (CABI), and the USDA National Agricultural Library (NAL), GACS was formed at the intersection of most-frequently-used concepts from their three respective thesauri -- the AGROVOC Concept Scheme, CAB Thesaurus, and the NAL Thesaurus, for which GACS provides a mapping hub. GACS is seen as an important step towards linking and integrating agricultural data of all types to address the long-term challenge of global food security.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Food Security","Agricultural Engineering","Agriculture"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2688,"pubmed_id":null,"title":"GACS Core: Creation of a Global Agricultural Concept Scheme","year":2016,"url":"http://eprints.rclis.org/30221/","authors":"Baker, Thomas and Caracciolo, Caterina and Doroszenko, Anton and Suominen, Osma","journal":"In 10th International Conference on Metadata and Semantics Research, 22 November 2016. [Conference paper]","doi":null,"created_at":"2021-09-30T08:27:30.211Z","updated_at":"2021-09-30T08:27:30.211Z"}],"licence_links":[],"grants":[{"id":6742,"fairsharing_record_id":1083,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:12.222Z","updated_at":"2021-09-30T09:28:12.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6743,"fairsharing_record_id":1083,"organisation_id":2939,"relation":"maintains","created_at":"2021-09-30T09:28:12.247Z","updated_at":"2021-09-30T09:28:12.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6744,"fairsharing_record_id":1083,"organisation_id":1179,"relation":"maintains","created_at":"2021-09-30T09:28:12.278Z","updated_at":"2021-09-30T09:28:12.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":1179,"name":"Global Open Data for Agriculture and Nutrition (GODAN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6745,"fairsharing_record_id":1083,"organisation_id":336,"relation":"maintains","created_at":"2021-09-30T09:28:12.319Z","updated_at":"2021-09-30T09:28:12.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":336,"name":"CABI","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1084","type":"fairsharing_records","attributes":{"created_at":"2015-10-06T15:00:07.000Z","updated_at":"2022-07-20T12:48:01.263Z","metadata":{"doi":"10.25504/FAIRsharing.y49yj6","name":"Herbarium information standards and protocols for interchange of data","status":"ready","contacts":[{"contact_name":"Steve Kelling","contact_email":"stk2@cornell.edu"}],"homepage":"https://github.com/tdwg/prior-standards/tree/master/hispid3","identifier":1084,"description":"The 'Herbarium Information Standards and Protocols for Interchange of Data' (HISPID) is a standard format for the interchange of electronic herbarium specimen information. HISPID has been developed by a committee of representatives from all major Australian herbaria. This interchange standard was first published in 1989, with a revised version published in 1993./nHISPID3 (version 3) is an accession-based interchange standard. Although many fields refer to attributes of the taxon they should be construed as applying to the specimen represented by the record, not to the taxon per se. The interchange of taxonomic, nomenclatural, bibliographic, typification, rare and endangered plant conservation, and other related information is not dealt with in this standard, unless it specifically refers to a particular accession (record). While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":"HISPID3","support_links":[{"url":"http://plantnet.rbgsyd.nsw.gov.au/HISCOM/HISPID/HISPID3/H3.html","type":"Help documentation"}],"year_creation":1989},"legacy_ids":["bsg-000623","bsg-s000623"],"name":"FAIRsharing record for: Herbarium information standards and protocols for interchange of data","abbreviation":"HISPID3","url":"https://fairsharing.org/10.25504/FAIRsharing.y49yj6","doi":"10.25504/FAIRsharing.y49yj6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The 'Herbarium Information Standards and Protocols for Interchange of Data' (HISPID) is a standard format for the interchange of electronic herbarium specimen information. HISPID has been developed by a committee of representatives from all major Australian herbaria. This interchange standard was first published in 1989, with a revised version published in 1993./nHISPID3 (version 3) is an accession-based interchange standard. Although many fields refer to attributes of the taxon they should be construed as applying to the specimen represented by the record, not to the taxon per se. The interchange of taxonomic, nomenclatural, bibliographic, typification, rare and endangered plant conservation, and other related information is not dealt with in this standard, unless it specifically refers to a particular accession (record). While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12277}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity","Life Science","Plant Genetics"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":6746,"fairsharing_record_id":1084,"organisation_id":2213,"relation":"maintains","created_at":"2021-09-30T09:28:12.361Z","updated_at":"2021-09-30T09:28:12.361Z","grant_id":null,"is_lead":false,"saved_state":{"id":2213,"name":"Observations and Specimens Interest Group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1085","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:01.861Z","metadata":{"doi":"10.25504/FAIRsharing.g0a7s0","name":"Physico-chemical process","status":"deprecated","contacts":[{"contact_name":"Janna Hasting","contact_email":"hastings@ebi.ac.uk"}],"homepage":"http://purl.bioontology.org/ontology/REX","identifier":1085,"description":"REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX.","abbreviation":"REX","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/REX","name":"REX","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/rex.html","name":"rex","portal":"OBO Foundry"}],"deprecation_date":"2017-11-22","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000042","bsg-s000042"],"name":"FAIRsharing record for: Physico-chemical process","abbreviation":"REX","url":"https://fairsharing.org/10.25504/FAIRsharing.g0a7s0","doi":"10.25504/FAIRsharing.g0a7s0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry","Life Science"],"domains":["Reaction data","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6747,"fairsharing_record_id":1085,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:12.399Z","updated_at":"2021-09-30T09:28:12.399Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1070","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T11:50:48.913Z","metadata":{"doi":"10.25504/FAIRsharing.qrrvyk","name":"Castor Bean Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_347:ROOT","citations":[],"identifier":1070,"description":"The Castor Bean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","abbreviation":"CO_347","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video tutorials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001124","bsg-s001124"],"name":"FAIRsharing record for: Castor Bean Ontology","abbreviation":"CO_347","url":"https://fairsharing.org/10.25504/FAIRsharing.qrrvyk","doi":"10.25504/FAIRsharing.qrrvyk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Castor Bean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Ricinus communis"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1344,"relation":"undefined"}],"grants":[{"id":6703,"fairsharing_record_id":1070,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:10.751Z","updated_at":"2021-09-30T09:28:10.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1071","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T12:04:30.000Z","updated_at":"2024-01-28T15:57:47.922Z","metadata":{"doi":"10.25504/FAIRsharing.rfLD2u","name":"Enzyme Commission Number","status":"ready","contacts":[{"contact_name":"Dr Gerard P. Moss","contact_email":"g.p.moss@qmul.ac.uk"}],"homepage":"https://www.qmul.ac.uk/sbcs/iubmb/enzyme/rules.html","citations":[],"identifier":1071,"description":"In its report in 1961, the first Enzyme Commission devised a system for enzyme classification that also serves as a basis for assigning code numbers. These code numbers, prefixed by EC, contain four elements separated by points / full stops and are now widely in use. The first number shows to which of the six main divisions (classes) the enzyme belongs and therefore identifies the class of reaction catalysed. The second number indicates the subclass, and generally contains information about the type of compound or group involved. The third figure gives the sub-subclass, which further specifies the type of reaction involved. The fourth figure is the serial number of the enzyme in its sub-subclass.","abbreviation":"EC Number","support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iubmb/enzyme/","name":"Recommendations of the Nomenclature Committee of the IUBMB","type":"Help documentation"},{"url":"https://iubmb.org/wp-content/uploads/sites/2790/2018/11/A-Brief-Guide-to-Enzyme-Classification-and-Nomenclature-rev.pdf","name":"A Brief Guide to Enzyme Nomenclature and Classification (PDF)","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Enzyme_Commission_number","name":"EC Number","type":"Wikipedia"}],"year_creation":1961,"cross_references":[{"url":"https://bioregistry.io/registry/eccode","name":"Bioregistry","portal":"Other"}],"regular_expression":"^\\d{1,2}(((\\.\\d{1,3}){1,3})|(\\.\\d+){2}\\.n\\d{1,3})?$"},"legacy_ids":["bsg-001343","bsg-s001343"],"name":"FAIRsharing record for: Enzyme Commission Number","abbreviation":"EC Number","url":"https://fairsharing.org/10.25504/FAIRsharing.rfLD2u","doi":"10.25504/FAIRsharing.rfLD2u","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In its report in 1961, the first Enzyme Commission devised a system for enzyme classification that also serves as a basis for assigning code numbers. These code numbers, prefixed by EC, contain four elements separated by points / full stops and are now widely in use. The first number shows to which of the six main divisions (classes) the enzyme belongs and therefore identifies the class of reaction catalysed. The second number indicates the subclass, and generally contains information about the type of compound or group involved. The third figure gives the sub-subclass, which further specifies the type of reaction involved. The fourth figure is the serial number of the enzyme in its sub-subclass.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16723}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Biochemistry","Enzymology"],"domains":["Enzyme Commission number","Centrally registered identifier","Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6704,"fairsharing_record_id":1071,"organisation_id":1533,"relation":"maintains","created_at":"2021-09-30T09:28:10.793Z","updated_at":"2021-09-30T09:28:10.793Z","grant_id":null,"is_lead":true,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1072","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-05-16T10:21:31.304Z","metadata":{"doi":"10.25504/FAIRsharing.9gx9at","name":"Gene Ontology Annotation File Format 1.0","status":"deprecated","contacts":[],"homepage":"https://github.com/geneontology/geneontology.github.io/blob/e6e554c42cf75312784ecdbca44f858633990e99/_docs/go-annotation-file-gaf-format-10.md","citations":[],"identifier":1072,"description":"Annotation data is submitted to the GO Consortium in the form of gene association files, or GAFs. This standard lays out the format specification for GAF 1.0, however please note that this version of GAF is no longer supported and should not be used.","abbreviation":"GO GAF 1.0","support_links":[{"url":"http://geneontology.org/form/contact-go","type":"Contact form"},{"url":"http://geneontology.org/faq-page","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1999,"deprecation_date":"2022-05-10","deprecation_reason":"This version of GAF is no longer supported and has been deprecated since June 2010. Gene Ontology strongly discourage its use."},"legacy_ids":["bsg-000230","bsg-s000230"],"name":"FAIRsharing record for: Gene Ontology Annotation File Format 1.0","abbreviation":"GO GAF 1.0","url":"https://fairsharing.org/10.25504/FAIRsharing.9gx9at","doi":"10.25504/FAIRsharing.9gx9at","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Annotation data is submitted to the GO Consortium in the form of gene association files, or GAFs. This standard lays out the format specification for GAF 1.0, however please note that this version of GAF is no longer supported and should not be used.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2348,"relation":"undefined"}],"grants":[{"id":6706,"fairsharing_record_id":1072,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:10.936Z","updated_at":"2021-09-30T09:31:27.246Z","grant_id":1175,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U41HG002273-14","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9492,"fairsharing_record_id":1072,"organisation_id":1099,"relation":"maintains","created_at":"2022-05-05T13:13:30.936Z","updated_at":"2022-05-05T13:13:30.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1073","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.955Z","metadata":{"doi":"10.25504/FAIRsharing.8qcbs0","name":"National Drug Data File","status":"uncertain","contacts":[{"contact_name":"First DataBank Customer Support","contact_email":"cs@firstdatabank.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1424","identifier":1073,"description":"The National Drug Data File vocabulary supports clinical research and patient care. Please note that we have been unable to confirm the current status of NDDF and its relationship with FDB MedKnowledge. Until that time, the FAIRsharing team has marked this resource as having an Uncertain status. Please get in touch if you have any information.","abbreviation":"NDDF","support_links":[{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/2010AA/NDDF/index.html","name":"2010AA National Drug Data File Source Information","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NDDF","name":"NDDF","portal":"BioPortal"}]},"legacy_ids":["bsg-002649","bsg-s002649"],"name":"FAIRsharing record for: National Drug Data File","abbreviation":"NDDF","url":"https://fairsharing.org/10.25504/FAIRsharing.8qcbs0","doi":"10.25504/FAIRsharing.8qcbs0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Drug Data File vocabulary supports clinical research and patient care. Please note that we have been unable to confirm the current status of NDDF and its relationship with FDB MedKnowledge. Until that time, the FAIRsharing team has marked this resource as having an Uncertain status. Please get in touch if you have any information.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11721}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Medicinal Chemistry"],"domains":["Drug","Chemical entity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":1542,"relation":"undefined"}],"grants":[{"id":6707,"fairsharing_record_id":1073,"organisation_id":1019,"relation":"maintains","created_at":"2021-09-30T09:28:10.973Z","updated_at":"2021-09-30T09:28:10.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":1019,"name":"First Databank (FDB), San Francisco, CA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1077","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T10:48:41.833Z","metadata":{"doi":"10.25504/FAIRsharing.dxx0c","name":"Sorghum Ontology","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_324:ROOT","citations":[],"identifier":1077,"description":"The Sorghum Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_324","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001097","bsg-s001097"],"name":"FAIRsharing record for: Sorghum Ontology","abbreviation":"CO_324","url":"https://fairsharing.org/10.25504/FAIRsharing.dxx0c","doi":"10.25504/FAIRsharing.dxx0c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sorghum Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food","Phenotype"],"taxonomies":["Sorghum bicolor"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1810,"relation":"undefined"}],"grants":[{"id":6712,"fairsharing_record_id":1077,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:28:11.173Z","updated_at":"2021-09-30T09:28:11.173Z","grant_id":null,"is_lead":true,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9303,"fairsharing_record_id":1077,"organisation_id":485,"relation":"funds","created_at":"2022-04-11T12:07:29.005Z","updated_at":"2022-04-11T12:07:29.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1078","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:15.000Z","updated_at":"2022-07-20T10:57:10.652Z","metadata":{"doi":"10.25504/FAIRsharing.ehe3yp","name":"Pigeon Pea Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"https://cropontology.org/term/CO_341:ROOT","citations":[],"identifier":1078,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Pigeon Pea Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_341","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000723","bsg-s000723"],"name":"FAIRsharing record for: Pigeon Pea Ontology","abbreviation":"CO_341","url":"https://fairsharing.org/10.25504/FAIRsharing.ehe3yp","doi":"10.25504/FAIRsharing.ehe3yp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Pigeon Pea Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Cajanus cajan"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":669,"relation":"undefined"}],"grants":[{"id":6713,"fairsharing_record_id":1078,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:28:11.206Z","updated_at":"2021-09-30T09:28:11.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6714,"fairsharing_record_id":1078,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:28:11.239Z","updated_at":"2021-09-30T09:28:11.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1079","type":"fairsharing_records","attributes":{"created_at":"2018-03-11T20:31:40.000Z","updated_at":"2022-07-20T10:49:25.829Z","metadata":{"doi":"10.25504/FAIRsharing.af5655","name":"Beet Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_333:ROOT","citations":[],"identifier":1079,"description":"This ontology was built as part of the AKER project. It describes variables used in beet phenotyping (experimental properties and measurement scale) for each institution and breeding company within the project. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Beet Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_333","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help page","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001139","bsg-s001139"],"name":"FAIRsharing record for: Beet Ontology","abbreviation":"CO_333","url":"https://fairsharing.org/10.25504/FAIRsharing.af5655","doi":"10.25504/FAIRsharing.af5655","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology was built as part of the AKER project. It describes variables used in beet phenotyping (experimental properties and measurement scale) for each institution and breeding company within the project. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Beet Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16736}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Plant Breeding","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Beta vulgaris"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1771,"relation":"undefined"}],"grants":[{"id":6715,"fairsharing_record_id":1079,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:11.273Z","updated_at":"2021-09-30T09:28:11.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1080","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-07-20T12:28:42.942Z","metadata":{"doi":"10.25504/FAIRsharing.8ktkqy","name":"Biological Collections Ontology","status":"ready","contacts":[{"contact_name":"Ramona Walls","contact_email":"rwalls2008@gmail.com"}],"homepage":"https://github.com/BiodiversityOntologies/bco","citations":[{"doi":"10.1371/journal.pone.0089606","pubmed_id":24595056,"publication_id":2732}],"identifier":1080,"description":"The Biological Collections Ontology (BCO) supports the interoperability of biodiversity data, including data on museum collections, environmental/metagenomic samples, and ecological surveys. The BCO covers distinctions between individuals, organisms, voucher specimens, lots, samples, the relations between these entities, and the processes governing the creation and use of \"samples\". Also within scope are properties including collector, location, time, storage environment, containers, institution, and collection identifiers.","abbreviation":"BCO","support_links":[{"url":"https://groups.google.com/forum/?fromgroups#!forum/bco-discuss","name":"BCO Discuss List","type":"Forum"},{"url":"https://www.youtube.com/watch?v=j37IH9PIeaA","name":"Video Tutorial","type":"Video"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BCO","name":"BCO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bco.html","name":"bco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000827","bsg-s000827"],"name":"FAIRsharing record for: Biological Collections Ontology","abbreviation":"BCO","url":"https://fairsharing.org/10.25504/FAIRsharing.8ktkqy","doi":"10.25504/FAIRsharing.8ktkqy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biological Collections Ontology (BCO) supports the interoperability of biodiversity data, including data on museum collections, environmental/metagenomic samples, and ecological surveys. The BCO covers distinctions between individuals, organisms, voucher specimens, lots, samples, the relations between these entities, and the processes governing the creation and use of \"samples\". Also within scope are properties including collector, location, time, storage environment, containers, institution, and collection identifiers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Metagenomics","Taxonomy","Ecology","Biodiversity"],"domains":["Taxonomic classification","Biological sample annotation","Environmental material","Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Denmark","Germany","Norway","United Kingdom","United States"],"publications":[{"id":2732,"pubmed_id":24595056,"title":"Semantics in support of biodiversity knowledge discovery: an introduction to the biological collections ontology and related ontologies.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0089606","authors":"Walls RL,Deck J,Guralnick R,Baskauf S,Beaman R,Blum S,Bowers S,Buttigieg PL,Davies N,Endresen D,Gandolfo MA,Hanner R,Janning A,Krishtalka L,Matsunaga A,Midford P,Morrison N,O Tuama E,Schildhauer M,Smith B,Stucky BJ,Thomer A,Wieczorek J,Whitacre J,Wooley J","journal":"PLoS One","doi":"10.1371/journal.pone.0089606","created_at":"2021-09-30T08:27:35.514Z","updated_at":"2021-09-30T08:27:35.514Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1780,"relation":"undefined"}],"grants":[{"id":6716,"fairsharing_record_id":1080,"organisation_id":3025,"relation":"maintains","created_at":"2021-09-30T09:28:11.305Z","updated_at":"2021-09-30T09:28:11.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6718,"fairsharing_record_id":1080,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:11.355Z","updated_at":"2021-09-30T09:28:11.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6722,"fairsharing_record_id":1080,"organisation_id":3013,"relation":"maintains","created_at":"2021-09-30T09:28:11.549Z","updated_at":"2021-09-30T09:28:11.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":3013,"name":"University of Arizona, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6724,"fairsharing_record_id":1080,"organisation_id":614,"relation":"maintains","created_at":"2021-09-30T09:28:11.636Z","updated_at":"2021-09-30T09:28:11.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":614,"name":"Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6727,"fairsharing_record_id":1080,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:28:11.729Z","updated_at":"2021-09-30T09:28:11.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6730,"fairsharing_record_id":1080,"organisation_id":673,"relation":"maintains","created_at":"2021-09-30T09:28:11.805Z","updated_at":"2021-09-30T09:28:11.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":673,"name":"Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6734,"fairsharing_record_id":1080,"organisation_id":3068,"relation":"maintains","created_at":"2021-09-30T09:28:11.957Z","updated_at":"2021-09-30T09:28:11.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":3068,"name":"University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6717,"fairsharing_record_id":1080,"organisation_id":1094,"relation":"maintains","created_at":"2021-09-30T09:28:11.329Z","updated_at":"2021-09-30T09:28:11.329Z","grant_id":null,"is_lead":false,"saved_state":{"id":1094,"name":"GBIF Norway","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6719,"fairsharing_record_id":1080,"organisation_id":3055,"relation":"maintains","created_at":"2021-09-30T09:28:11.385Z","updated_at":"2021-09-30T09:28:11.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6721,"fairsharing_record_id":1080,"organisation_id":56,"relation":"maintains","created_at":"2021-09-30T09:28:11.466Z","updated_at":"2021-09-30T09:28:11.466Z","grant_id":null,"is_lead":false,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6723,"fairsharing_record_id":1080,"organisation_id":631,"relation":"maintains","created_at":"2021-09-30T09:28:11.594Z","updated_at":"2021-09-30T09:28:11.594Z","grant_id":null,"is_lead":true,"saved_state":{"id":631,"name":"Cyverse, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6725,"fairsharing_record_id":1080,"organisation_id":2579,"relation":"maintains","created_at":"2021-09-30T09:28:11.673Z","updated_at":"2021-09-30T09:28:11.673Z","grant_id":null,"is_lead":false,"saved_state":{"id":2579,"name":"Smithsonian National Museum of Natural History, Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6726,"fairsharing_record_id":1080,"organisation_id":338,"relation":"maintains","created_at":"2021-09-30T09:28:11.706Z","updated_at":"2021-09-30T09:28:11.706Z","grant_id":null,"is_lead":false,"saved_state":{"id":338,"name":"California Academy of Sciences, San Francisco, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6728,"fairsharing_record_id":1080,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:28:11.754Z","updated_at":"2021-09-30T09:28:11.754Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6729,"fairsharing_record_id":1080,"organisation_id":3028,"relation":"maintains","created_at":"2021-09-30T09:28:11.780Z","updated_at":"2021-09-30T09:28:11.780Z","grant_id":null,"is_lead":false,"saved_state":{"id":3028,"name":"University of California Berkeley, Berkeley, California, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6731,"fairsharing_record_id":1080,"organisation_id":1188,"relation":"maintains","created_at":"2021-09-30T09:28:11.836Z","updated_at":"2021-09-30T09:28:11.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":1188,"name":"Gonzaga University, Spokane, Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6732,"fairsharing_record_id":1080,"organisation_id":229,"relation":"maintains","created_at":"2021-09-30T09:28:11.877Z","updated_at":"2021-09-30T09:28:11.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":229,"name":"Biodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6733,"fairsharing_record_id":1080,"organisation_id":1961,"relation":"maintains","created_at":"2021-09-30T09:28:11.919Z","updated_at":"2021-09-30T09:28:11.919Z","grant_id":null,"is_lead":false,"saved_state":{"id":1961,"name":"National Center for Ecological Analysis and Synthesis (NCEAS), Santa Barbara, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6735,"fairsharing_record_id":1080,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:28:11.994Z","updated_at":"2021-09-30T09:28:11.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9166,"fairsharing_record_id":1080,"organisation_id":1622,"relation":"maintains","created_at":"2022-04-11T12:07:18.790Z","updated_at":"2022-04-11T12:07:18.790Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1089","type":"fairsharing_records","attributes":{"created_at":"2018-03-09T08:36:02.000Z","updated_at":"2021-11-24T13:17:42.358Z","metadata":{"name":"EOSC Datasets Minimum Information","status":"in_development","contacts":[{"contact_name":"Rafael Jimenez","contact_email":"rafael.jimenez@elixir-europe.org"}],"homepage":"https://eoscpilot.eu/sites/default/files/eoscpilot-d6.3.pdf","identifier":1089,"description":"These guidelines will define the minimum metadata properties that should be present across existing data models, and which should be exposed by data resources, facilitating both users and programmatic services to locate and access data. The EDMI metadata guidelines thus aim to establish and encourage the adoption of a common and minimum set of metadata properties across different scientific domains, leveraging existing data models and access interfaces. The EDMI metadata guidelines do not aim to be a new data model to describe datasets, but rather to complement existing data models.","abbreviation":"EDMI-Functional","year_creation":2018},"legacy_ids":["bsg-001135","bsg-s001135"],"name":"FAIRsharing record for: EOSC Datasets Minimum Information","abbreviation":"EDMI-Functional","url":"https://fairsharing.org/fairsharing_records/1089","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines will define the minimum metadata properties that should be present across existing data models, and which should be exposed by data resources, facilitating both users and programmatic services to locate and access data. The EDMI metadata guidelines thus aim to establish and encourage the adoption of a common and minimum set of metadata properties across different scientific domains, leveraging existing data models and access interfaces. The EDMI metadata guidelines do not aim to be a new data model to describe datasets, but rather to complement existing data models.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18243},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11314},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12946},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13328},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13339}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Computer Science","Subject Agnostic"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1090","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2024-02-28T13:54:56.769Z","metadata":{"doi":"10.25504/FAIRsharing.jtz0dv","name":"Diabetes Mellitus Treatment Ontology","status":"deprecated","contacts":[{"contact_name":"Shaker El-Sappagh","contact_email":"shaker_elsapagh@yahoo.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/DMTO","citations":[{"doi":"10.1186/s13326-018-0176-y","pubmed_id":29409535,"publication_id":2343}],"identifier":1090,"description":"The Diabetes Mellitus Treatment Ontology (DMTO) was created to model type 2 diabetes mellitus (T2DM) treatment. It models T2DM patients’ current conditions, previous profiles, and T2DM-related aspects, including complications, symptoms, lab tests, interactions, treatment plan (TP) frameworks, and glucose-related diseases and medications.","abbreviation":"DMTO","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DMTO","name":"DMTO","portal":"BioPortal"}],"deprecation_date":"2024-02-28","deprecation_reason":"This resource has not been updated on BioPortal since 2017, we cannot find an alternative homepage, and the contacts for the resource have not responded to our enquiries, therefore we consider this resource deprecated. Please get in touch with us if you have information about the current status of this resource."},"legacy_ids":["bsg-000782","bsg-s000782"],"name":"FAIRsharing record for: Diabetes Mellitus Treatment Ontology","abbreviation":"DMTO","url":"https://fairsharing.org/10.25504/FAIRsharing.jtz0dv","doi":"10.25504/FAIRsharing.jtz0dv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Diabetes Mellitus Treatment Ontology (DMTO) was created to model type 2 diabetes mellitus (T2DM) treatment. It models T2DM patients’ current conditions, previous profiles, and T2DM-related aspects, including complications, symptoms, lab tests, interactions, treatment plan (TP) frameworks, and glucose-related diseases and medications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Diabetology"],"domains":["Diabetes mellitus","Treatment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Egypt","South Korea","United States"],"publications":[{"id":2343,"pubmed_id":29409535,"title":"DMTO: a realistic ontology for standard diabetes mellitus treatment.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0176-y","authors":"El-Sappagh S,Kwak D,Ali F,Kwak KS","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0176-y","created_at":"2021-09-30T08:26:47.913Z","updated_at":"2021-09-30T08:26:47.913Z"}],"licence_links":[],"grants":[{"id":6761,"fairsharing_record_id":1090,"organisation_id":1350,"relation":"maintains","created_at":"2021-09-30T09:28:12.999Z","updated_at":"2021-09-30T09:28:12.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":1350,"name":"Inha University, Nam-gu, Incheon, South Korea","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6759,"fairsharing_record_id":1090,"organisation_id":201,"relation":"maintains","created_at":"2021-09-30T09:28:12.929Z","updated_at":"2021-09-30T09:28:12.929Z","grant_id":null,"is_lead":false,"saved_state":{"id":201,"name":"Benha University, Meit Ghamr - Benha, Banha, Egypt","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6760,"fairsharing_record_id":1090,"organisation_id":1629,"relation":"maintains","created_at":"2021-09-30T09:28:12.968Z","updated_at":"2021-09-30T09:28:12.968Z","grant_id":null,"is_lead":false,"saved_state":{"id":1629,"name":"Kean University, Union, NJ, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1091","type":"fairsharing_records","attributes":{"created_at":"2017-11-30T12:55:16.000Z","updated_at":"2022-12-07T16:03:02.027Z","metadata":{"doi":"10.25504/FAIRsharing.7b0fc3","name":"ThermoML","status":"ready","contacts":[{"contact_name":"Kenneth Kroenlein","contact_email":"kenneth.kroenlein@nist.gov"}],"homepage":"https://www.nist.gov/mml/acmd/trc/thermoml","identifier":1091,"description":"ThermoML is an XML-based IUPAC standard for storage and exchange of experimental thermophysical and thermochemical property data, first developed as an IUPAC project in 2006, and extended in 2011. At present, ThermoML is being used by a number of process design packages as a data input format, as well as more broadly on the Internet as a data dissemination format.","abbreviation":"ThermoML","support_links":[{"url":"https://www.facebook.com/usnistgov/","name":"facebook","type":"Facebook"},{"url":"https://www.youtube.com/user/USNISTGOV","name":"Youtube","type":"Video"},{"url":"https://www.nist.gov/about-nist/contact-us","name":"Contact form","type":"Contact form"},{"url":"https://www.iupac.org/publications/pac/83/10/1937/","name":"IUPAC Standard Document","type":"Help documentation"},{"url":"https://twitter.com/usnistgov","type":"Twitter"}],"year_creation":2006,"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010422","name":"re3data:r3d100010422","portal":"re3data"}]},"legacy_ids":["bsg-001092","bsg-s001092"],"name":"FAIRsharing record for: ThermoML","abbreviation":"ThermoML","url":"https://fairsharing.org/10.25504/FAIRsharing.7b0fc3","doi":"10.25504/FAIRsharing.7b0fc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ThermoML is an XML-based IUPAC standard for storage and exchange of experimental thermophysical and thermochemical property data, first developed as an IUPAC project in 2006, and extended in 2011. At present, ThermoML is being used by a number of process design packages as a data input format, as well as more broadly on the Internet as a data dissemination format.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11737}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Thermodynamics","Chemistry","Natural Science","Chemical Engineering"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1956,"pubmed_id":null,"title":"Update on ThermoML","year":2017,"url":"http://doi.org/10.1515/ci-2017-0314","authors":"Kenneth Kroenlein","journal":"Chemistry International","doi":"10.1515/ci-2017-0314","created_at":"2021-09-30T08:26:00.130Z","updated_at":"2021-09-30T08:26:00.130Z"},{"id":2415,"pubmed_id":null,"title":"XML-Based IUPAC standard for experimental, predicted, and critically evaluated thermodynamic property data storage and capture (ThermoML)","year":2006,"url":"http://doi.org/10.1351/pac200678030541","authors":"Frenkel,M.; Chirico, R.D.: Diky,V,; Dong, Q.; Marsh,K.N.; Dymond,J.H.; Wakeham,W.A.; Stein, S.E.; Koenigsberger E.; Goodwin, A.R.","journal":"Pure and Applied Chemistry, Vol 78 (3), 541-612,","doi":"10.1351/pac200678030541","created_at":"2021-09-30T08:26:56.428Z","updated_at":"2021-09-30T08:26:56.428Z"}],"licence_links":[],"grants":[{"id":6762,"fairsharing_record_id":1091,"organisation_id":2824,"relation":"maintains","created_at":"2021-09-30T09:28:13.027Z","updated_at":"2021-09-30T09:28:13.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":2824,"name":"Thermodynamics Research Center (TRC), National Institute of Standards and Technology (NIST)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1092","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:45:20.000Z","updated_at":"2022-07-20T12:44:43.886Z","metadata":{"doi":"10.25504/FAIRsharing.c7f4d7","name":"Vitis Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_356:ROOT","citations":[],"identifier":1092,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Vitis Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_356","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"},{"url":"https://urgi-git.versailles.inra.fr/urgi-is/ontologies/tree/develop/Vitis","name":"Vitis Git Repository","type":"Help documentation"}]},"legacy_ids":["bsg-001134","bsg-s001134"],"name":"FAIRsharing record for: Vitis Ontology","abbreviation":"CO_356","url":"https://fairsharing.org/10.25504/FAIRsharing.c7f4d7","doi":"10.25504/FAIRsharing.c7f4d7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Vitis Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Vitis"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1595,"relation":"undefined"}],"grants":[{"id":6764,"fairsharing_record_id":1092,"organisation_id":3181,"relation":"maintains","created_at":"2021-09-30T09:28:13.081Z","updated_at":"2021-09-30T09:28:13.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":3181,"name":"Versailles-Grignon Research Centre, INRA, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6763,"fairsharing_record_id":1092,"organisation_id":1198,"relation":"maintains","created_at":"2021-09-30T09:28:13.058Z","updated_at":"2021-09-30T09:28:13.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":1198,"name":"Grand-Est - Colmar Research Centre, INRAE, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1093","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:34:52.000Z","updated_at":"2022-07-20T12:25:29.647Z","metadata":{"doi":"10.25504/FAIRsharing.1c1738","name":"Sugar Kelp Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_360:ROOT","citations":[],"identifier":1093,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sugar Kelp Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_360","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}]},"legacy_ids":["bsg-001133","bsg-s001133"],"name":"FAIRsharing record for: Sugar Kelp Trait Ontology","abbreviation":"CO_360","url":"https://fairsharing.org/10.25504/FAIRsharing.1c1738","doi":"10.25504/FAIRsharing.1c1738","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sugar Kelp Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Marine environment","Phenotype"],"taxonomies":["Saccharina latissima"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1468,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1074","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2022-07-20T12:52:35.506Z","metadata":{"doi":"10.25504/FAIRsharing.y0kqgt","name":"Library of Congress Medium of Performance Thesaurus for Music","status":"ready","homepage":"https://id.loc.gov/authorities/performanceMediums.html","identifier":1074,"description":"The Library of Congress Medium of Performance Thesaurus (LCMPT) for Music is a stand-alone vocabulary that provides terminology to describe the instruments, voices, etc., used in the performance of musical works. The core terms in LCMPT are based chiefly on existing LC subject headings (LCSH), but some additional terms that do not already appear in LCSH have also been included.","abbreviation":"LCMPT","support_links":[{"url":"https://id.loc.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://id.loc.gov/techcenter/searching.html","name":"Search Help","type":"Help documentation"},{"url":"https://id.loc.gov/techcenter/","name":"Download Help","type":"Help documentation"},{"url":"https://listserv.loc.gov/cgi-bin/wa?A0=ID","name":"LOC Linked Data Mailing List","type":"Mailing list"},{"url":"https://www.loc.gov/aba/cataloging/subject/","name":"About LCSH","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001080","bsg-s001080"],"name":"FAIRsharing record for: Library of Congress Medium of Performance Thesaurus for Music","abbreviation":"LCMPT","url":"https://fairsharing.org/10.25504/FAIRsharing.y0kqgt","doi":"10.25504/FAIRsharing.y0kqgt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Medium of Performance Thesaurus (LCMPT) for Music is a stand-alone vocabulary that provides terminology to describe the instruments, voices, etc., used in the performance of musical works. The core terms in LCMPT are based chiefly on existing LC subject headings (LCSH), but some additional terms that do not already appear in LCSH have also been included.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fine Arts","Musicology"],"domains":["Classification"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":888,"relation":"undefined"}],"grants":[{"id":6708,"fairsharing_record_id":1074,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:11.010Z","updated_at":"2021-09-30T09:28:11.010Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1075","type":"fairsharing_records","attributes":{"created_at":"2020-02-26T13:33:24.000Z","updated_at":"2022-02-08T10:31:22.839Z","metadata":{"doi":"10.25504/FAIRsharing.efb730","name":"Research Information Systems File Format","status":"ready","homepage":"https://web.archive.org/web/20170707033254/http://www.researcherid.com/resources/html/help_upload.htm","identifier":1075,"description":"A Research Information Systems (RIS) file is a plain text file that can contain multiple references. RIS files can be exported from reference software such as EndNote and Reference Manager. Each reference is composed of a variable number of fields; and each field is preceded by a six-character label or \"tag.\" Some tags are specific only to certain reference types. Each tag must be in a specific format, and certain other rules apply to all tags. Please note that no current homepage or contact for this format can be found. Please get in touch if you can provide any information.","abbreviation":"RIS","support_links":[{"url":"https://en.wikipedia.org/wiki/RIS_(file_format)","name":"Wikipedia Entry","type":"Wikipedia"}]},"legacy_ids":["bsg-001454","bsg-s001454"],"name":"FAIRsharing record for: Research Information Systems File Format","abbreviation":"RIS","url":"https://fairsharing.org/10.25504/FAIRsharing.efb730","doi":"10.25504/FAIRsharing.efb730","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A Research Information Systems (RIS) file is a plain text file that can contain multiple references. RIS files can be exported from reference software such as EndNote and Reference Manager. Each reference is composed of a variable number of fields; and each field is preceded by a six-character label or \"tag.\" Some tags are specific only to certain reference types. Each tag must be in a specific format, and certain other rules apply to all tags. Please note that no current homepage or contact for this format can be found. Please get in touch if you can provide any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Software Engineering"],"domains":["Citation","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1076","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:47:37.125Z","metadata":{"doi":"10.25504/FAIRsharing.ah5f2f","name":"Minimal Information for Neural ElectroMagnetic Ontologies","status":"deprecated","contacts":[{"contact_name":"Gwen A. Frishkoff","contact_email":"gfrishkoff@gsu.edu"}],"homepage":"http://nemo.nic.uoregon.edu/wiki/NEMO","citations":[],"identifier":1076,"description":"Minimal Information for Neural ElectroMagnetic Ontologies (MINEMO; formerly \"MIEME\" or \"MINIerp\") is the minimal set of experiment meta-data that is required for datasets that are used in the NEMO project. MINEMO extends MINI (Minimal Information for Neuroscience Investigations)to the ERP domain. Checklist terms are explicated in NEMO, a formal ontology that is designed to support ERP data sharing and integration. MINEMO is also linked to an ERP database and web application (the NEMO portal). Users upload their data and enter MINEMO information through the portal. FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","abbreviation":"MINEMO","year_creation":2010,"deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000166","bsg-s000166"],"name":"FAIRsharing record for: Minimal Information for Neural ElectroMagnetic Ontologies","abbreviation":"MINEMO","url":"https://fairsharing.org/10.25504/FAIRsharing.ah5f2f","doi":"10.25504/FAIRsharing.ah5f2f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal Information for Neural ElectroMagnetic Ontologies (MINEMO; formerly \"MIEME\" or \"MINIerp\") is the minimal set of experiment meta-data that is required for datasets that are used in the NEMO project. MINEMO extends MINI (Minimal Information for Neuroscience Investigations)to the ERP domain. Checklist terms are explicated in NEMO, a formal ontology that is designed to support ERP data sharing and integration. MINEMO is also linked to an ERP database and web application (the NEMO portal). Users upload their data and enter MINEMO information through the portal. FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11606},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12109}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Neurobiology","Electromagnetism","Life Science","Biomedical Science","Electrophysiology"],"domains":["Data acquisition","Neuron","Cognition","Data transformation","Brain"],"taxonomies":["All"],"user_defined_tags":["Electromagnetism"],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":1250,"pubmed_id":22180824,"title":"Minimal Information for Neural Electromagnetic Ontologies (MINEMO): A standards-compliant method for analysis and integration of event-related potentials (ERP) data.","year":2011,"url":"http://doi.org/10.4056/sigs.2025347","authors":"Frishkoff G,Sydes J,Mueller K,Frank R,Curran T,Connolly J,Kilborn K,Molfese D,Perfetti C,Malony A","journal":"Stand Genomic Sci","doi":"10.4056/sigs.2025347","created_at":"2021-09-30T08:24:39.433Z","updated_at":"2021-09-30T08:24:39.433Z"},{"id":1846,"pubmed_id":null,"title":"Ontology-based Analysis of Event-Related Potentials","year":2011,"url":"http://doi.org/10.1.1.352.9697","authors":"Frishkoff, G., Frank, R., \u0026 LePendu, P.","journal":"Proceedings of the International Conference on Biomedical Ontologies (ICBO)","doi":"10.1.1.352.9697","created_at":"2021-09-30T08:25:47.306Z","updated_at":"2021-09-30T08:25:47.306Z"},{"id":1860,"pubmed_id":null,"title":"Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials","year":2009,"url":"http://doi.org/10.1038/npre.2009.3458.1","authors":"Frishkoff, G., Le Pendu, P., Frank, R., Liu, H., \u0026 Dou, D.","journal":"Proceedings of the International Conference on Biomedical Ontologies (ICBO)","doi":"10.1038/npre.2009.3458.1","created_at":"2021-09-30T08:25:48.957Z","updated_at":"2021-09-30T08:25:48.957Z"}],"licence_links":[],"grants":[{"id":6709,"fairsharing_record_id":1076,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:11.052Z","updated_at":"2021-09-30T09:28:11.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6710,"fairsharing_record_id":1076,"organisation_id":3110,"relation":"maintains","created_at":"2021-09-30T09:28:11.094Z","updated_at":"2021-09-30T09:28:11.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1086","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T12:07:03.000Z","updated_at":"2022-12-13T09:38:02.177Z","metadata":{"doi":"10.25504/FAIRsharing.mIJ56E","name":"Vocabularies in the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/Vocabularies.html","citations":[{"publication_id":2966}],"identifier":1086,"description":"The Vocabularies in the Virtual Observatory (VO) document specifies a standard format for vocabularies based on the W3C's Resource Description Framework (RDF) and Simple Knowledge Organization System (SKOS). By adopting a standard and simple format, the IVOA will permit different groups to create and maintain their own specialised vocabularies while letting the rest of the astronomical community access, use, and combine them. The use of current, open standards ensures that VO applications will be able to tap into resources of the growing semantic web. The document provides several examples of useful astronomical vocabularies.","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/Documents/REC/Semantics/Vocabularies-20091007.html","name":"View Standard","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-001206","bsg-s001206"],"name":"FAIRsharing record for: Vocabularies in the Virtual Observatory","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.mIJ56E","doi":"10.25504/FAIRsharing.mIJ56E","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vocabularies in the Virtual Observatory (VO) document specifies a standard format for vocabularies based on the W3C's Resource Description Framework (RDF) and Simple Knowledge Organization System (SKOS). By adopting a standard and simple format, the IVOA will permit different groups to create and maintain their own specialised vocabularies while letting the rest of the astronomical community access, use, and combine them. The use of current, open standards ensures that VO applications will be able to tap into resources of the growing semantic web. The document provides several examples of useful astronomical vocabularies.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11452}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2966,"pubmed_id":null,"title":"Vocabularies in the Virtual Observatory Version 1.19","year":2009,"url":"http://dx.doi.org/10.5479/ADS/bib/2009ivoa.spec.1007G","authors":"Gray, Alasdair J. G.; Gray, Norman; Hessman, Frederic V.; Preite Martinez, Andrea; Derriere, Sébastien; Linde, Tony; Seaman, Rob; Thomas, Brian","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.491Z","updated_at":"2021-09-30T08:28:05.491Z"}],"licence_links":[],"grants":[{"id":6748,"fairsharing_record_id":1086,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:12.432Z","updated_at":"2021-09-30T09:28:12.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6749,"fairsharing_record_id":1086,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:28:12.470Z","updated_at":"2021-09-30T09:28:12.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1087","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:08.725Z","metadata":{"doi":"10.25504/FAIRsharing.cwf4py","name":"Synthetic Biology Open Language","status":"ready","contacts":[{"contact_name":"SBOL Editors","contact_email":"editors@sbolstandard.org"}],"homepage":"https://sbolstandard.org/","citations":[{"doi":"10.1515/jib-2021-0013","pubmed_id":null,"publication_id":3184}],"identifier":1087,"description":"The Synthetic Biology Open Language (SBOL) is a standard used for the in silico representation of genetic designs. SBOL is designed to allow synthetic biologists and genetic engineers to electronically exchange designs, send and receive genetic designs to and from biofabrication centres, facilitate storage of genetic designs in repositories, and embed genetic designs in publications.","abbreviation":"SBOL","support_links":[{"url":"https://sbolstandard.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"https://sbolstandard.org/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/g/sbol-dev","name":"SBOL Developer List","type":"Forum"},{"url":"https://github.com/SynBioDex/SBOL-specification/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://sbolstandard.org/datamodel-examples/","name":"Examples","type":"Help documentation"},{"url":"https://github.com/SynBioDex/SBOL-specification","name":"Github Repository","type":"Github"},{"url":"https://sbolstandard.org/datamodel-about/","name":"About","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"https://validator.sbolstandard.org/","name":"SBOL Validator"},{"url":"https://converter.sbolstandard.org/","name":"SBOL Converter"},{"url":"https://sbolstandard.org/applications/","name":"Synthetic Biology Software Tools"},{"url":"https://sbolstandard.org/libraries/","name":"SBOL Libraries"}]},"legacy_ids":["bsg-000547","bsg-s000547"],"name":"FAIRsharing record for: Synthetic Biology Open Language","abbreviation":"SBOL","url":"https://fairsharing.org/10.25504/FAIRsharing.cwf4py","doi":"10.25504/FAIRsharing.cwf4py","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Synthetic Biology Open Language (SBOL) is a standard used for the in silico representation of genetic designs. SBOL is designed to allow synthetic biologists and genetic engineers to electronically exchange designs, send and receive genetic designs to and from biofabrication centres, facilitate storage of genetic designs in repositories, and embed genetic designs in publications.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10850},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11880},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12049},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12217},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16993}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Synthetic Biology"],"domains":["DNA sequence data","Sequence annotation","Nucleic acid design","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","India","Japan","Latvia","Panama","Switzerland","United Kingdom","United States"],"publications":[{"id":658,"pubmed_id":24896221,"title":"Proposed data model for the next version of the Synthetic Biology Open Language","year":2014,"url":"http://doi.org/10.1021/sb500176h","authors":"Roehner N, Oberortner E, Pocock M, Beal J, Clancy K, Madsen C, Misirli G, Wipat A, Sauro H, Myers CJ","journal":"ACS Synth Biol.","doi":"10.1021/sb500176h","created_at":"2021-09-30T08:23:32.644Z","updated_at":"2021-09-30T08:23:32.644Z"},{"id":2745,"pubmed_id":24911500,"title":"The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology.","year":2014,"url":"http://doi.org/10.1038/nbt.2891","authors":"Galdzicki M, Clancy KP, Oberortner E et al.","journal":"Nature Biotechnology","doi":"10.1038/nbt.2891","created_at":"2021-09-30T08:27:37.139Z","updated_at":"2021-09-30T08:27:37.139Z"},{"id":3184,"pubmed_id":null,"title":"Synthetic biology open language visual (SBOL visual) version 3.0","year":2021,"url":"http://dx.doi.org/10.1515/jib-2021-0013","authors":"Baig, Hasan; Fontanarossa, Pedro; McLaughlin, James; Scott-Brown, James; Vaidyanathan, Prashant; Gorochowski, Thomas; Misirli, Goksel; Beal, Jacob; Myers, Chris; ","journal":"Journal of Integrative Bioinformatics","doi":"10.1515/jib-2021-0013","created_at":"2022-01-13T15:06:56.813Z","updated_at":"2022-01-13T15:06:56.813Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2317,"relation":"undefined"}],"grants":[{"id":6750,"fairsharing_record_id":1087,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:12.511Z","updated_at":"2021-09-30T09:28:12.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6755,"fairsharing_record_id":1087,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:12.700Z","updated_at":"2021-09-30T09:31:56.548Z","grant_id":1397,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J02175X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6751,"fairsharing_record_id":1087,"organisation_id":2501,"relation":"maintains","created_at":"2021-09-30T09:28:12.550Z","updated_at":"2021-09-30T09:28:12.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":2501,"name":"SBOL Developers","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6752,"fairsharing_record_id":1087,"organisation_id":38,"relation":"funds","created_at":"2021-09-30T09:28:12.587Z","updated_at":"2021-09-30T09:28:12.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":38,"name":"Agilent Technologies","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6754,"fairsharing_record_id":1087,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:12.661Z","updated_at":"2021-09-30T09:28:12.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6756,"fairsharing_record_id":1087,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:12.733Z","updated_at":"2021-09-30T09:28:12.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6757,"fairsharing_record_id":1087,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:12.820Z","updated_at":"2021-09-30T09:29:18.757Z","grant_id":190,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1355909","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8176,"fairsharing_record_id":1087,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:20.496Z","updated_at":"2021-09-30T09:31:20.562Z","grant_id":1126,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1356401","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9181,"fairsharing_record_id":1087,"organisation_id":2931,"relation":"funds","created_at":"2022-04-11T12:07:19.979Z","updated_at":"2022-04-11T12:07:19.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2931,"name":"United States Defense Advanced Research Projects Agency (DARPA)","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1088","type":"fairsharing_records","attributes":{"created_at":"2021-01-05T11:56:16.000Z","updated_at":"2022-07-20T10:58:31.306Z","metadata":{"doi":"10.25504/FAIRsharing.c3af4b","name":"GeoSPARQL","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/geosparql","identifier":1088,"description":"GeoSPARQL, created by the Open Geospatial Consortium (OGC), supports representing and querying geospatial data on the Semantic Web. GeoSPARQL defines a vocabulary for representing geospatial data in RDF, and it defines an extension to the SPARQL query language for processing geospatial data. In addition, GeoSPARQL is designed to accommodate systems based on qualitative spatial reasoning and systems based on quantitative spatial computations.","abbreviation":"GeoSPARQL","support_links":[{"url":"https://www.ogc.org/contacts","name":"Feedback and Contact Form","type":"Contact form"},{"url":"http://ogc.standardstracker.org/","name":"Submit Change Request / Requirement / Comment","type":"Forum"}],"year_creation":2009},"legacy_ids":["bsg-001558","bsg-s001558"],"name":"FAIRsharing record for: GeoSPARQL","abbreviation":"GeoSPARQL","url":"https://fairsharing.org/10.25504/FAIRsharing.c3af4b","doi":"10.25504/FAIRsharing.c3af4b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeoSPARQL, created by the Open Geospatial Consortium (OGC), supports representing and querying geospatial data on the Semantic Web. GeoSPARQL defines a vocabulary for representing geospatial data in RDF, and it defines an extension to the SPARQL query language for processing geospatial data. In addition, GeoSPARQL is designed to accommodate systems based on qualitative spatial reasoning and systems based on quantitative spatial computations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":270,"relation":"undefined"}],"grants":[{"id":6758,"fairsharing_record_id":1088,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:12.887Z","updated_at":"2021-09-30T09:28:12.887Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1068","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T22:05:46.000Z","updated_at":"2022-07-18T19:57:20.213Z","metadata":{"doi":"10.25504/FAIRsharing.48e326","name":"Simple Knowledge Organization System","status":"ready","contacts":[{"contact_name":"Alistair Miles","contact_email":"alistair.miles@linacre.ox.ac.uk","contact_orcid":"0000-0001-9018-4680"}],"homepage":"http://www.w3.org/TR/skos-reference","citations":[],"identifier":1068,"description":"Simple Knowledge Organization System (SKOS) is a common data model for sharing and linking knowledge organization systems via the Web. Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, to enable data and technology sharing across diverse applications. The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a lightweight, intuitive language for developing and sharing new knowledge organization systems. It may be used on its own, or in combination with formal knowledge representation languages such as the Web Ontology language (OWL). The main objective of SKOS is to enable easy sharing and linking of controlled structured vocabularies for semantic web.","abbreviation":"SKOS","support_links":[{"url":"https://www.w3.org/2006/07/SWD/SKOS/reference/20090811-errata","name":"Errata","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-001268","bsg-s001268"],"name":"FAIRsharing record for: Simple Knowledge Organization System","abbreviation":"SKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.48e326","doi":"10.25504/FAIRsharing.48e326","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Simple Knowledge Organization System (SKOS) is a common data model for sharing and linking knowledge organization systems via the Web. Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, to enable data and technology sharing across diverse applications. The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a lightweight, intuitive language for developing and sharing new knowledge organization systems. It may be used on its own, or in combination with formal knowledge representation languages such as the Web Ontology language (OWL). The main objective of SKOS is to enable easy sharing and linking of controlled structured vocabularies for semantic web.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13182}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":676,"relation":"undefined"}],"grants":[{"id":6701,"fairsharing_record_id":1068,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:10.695Z","updated_at":"2022-07-18T15:44:10.669Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1069","type":"fairsharing_records","attributes":{"created_at":"2020-02-26T13:20:56.000Z","updated_at":"2022-02-08T10:31:20.696Z","metadata":{"doi":"10.25504/FAIRsharing.bdf2fe","name":"BibTex BIB Format","status":"ready","contacts":[{"contact_name":"Oren Patashnik","contact_email":"opbibtex@cs.stanford.edu"}],"homepage":"http://mirrors.ctan.org/biblio/bibtex/base/btxdoc.pdf","identifier":1069,"description":"The BibTeX BIB format was created to store a list of all references required by the BibTex software package. The BibTex package allows the user to store their citation data in a generic form, while printing citations in a document in the form specified by a BibTeX style, to be specified in the document itself.","abbreviation":"BIB","support_links":[{"url":"https://ctan.org/pkg/bibtex?lang=en","name":"BibTex Package Documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/BibTeX","name":"BibTex (Package) Wikipedia Entry","type":"Wikipedia"}],"year_creation":1988,"associated_tools":[{"url":"https://www.ctan.org/tex-archive/biblio/bibtex","name":"BibTex Package on CTAN"}]},"legacy_ids":["bsg-001453","bsg-s001453"],"name":"FAIRsharing record for: BibTex BIB Format","abbreviation":"BIB","url":"https://fairsharing.org/10.25504/FAIRsharing.bdf2fe","doi":"10.25504/FAIRsharing.bdf2fe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BibTeX BIB format was created to store a list of all references required by the BibTex software package. The BibTex package allows the user to store their citation data in a generic form, while printing citations in a document in the form specified by a BibTeX style, to be specified in the document itself.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Software Engineering"],"domains":["Citation","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Knuth License","licence_id":480,"licence_url":"https://ctan.org/license/knuth","link_id":416,"relation":"undefined"}],"grants":[{"id":6702,"fairsharing_record_id":1069,"organisation_id":410,"relation":"maintains","created_at":"2021-09-30T09:28:10.720Z","updated_at":"2021-09-30T09:28:10.720Z","grant_id":null,"is_lead":true,"saved_state":{"id":410,"name":"Center for Communications Research, San Diego, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1094","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T18:55:34.000Z","updated_at":"2021-11-24T13:17:08.943Z","metadata":{"doi":"10.25504/FAIRsharing.xvash1","name":"Flexible Image Transport System","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"fits@fits.gsfc.nasa.gov"}],"homepage":"https://fits.gsfc.nasa.gov","identifier":1094,"description":"This standard defines a digital file format useful for storage, transmission and processing of scientific and other images in astronomy. Unlike many image formats, FITS is designed specifically for scientific data and hence includes many provisions for describing photometric and spatial calibration information, together with image origin metadata. A major feature of the FITS format is that image metadata is stored in a human-readable ASCII header, so that an interested user can examine the headers to investigate an archived file of unknown provenance.","abbreviation":"FITS","support_links":[{"url":"fits@fits.gsfc.nasa.gov","name":"Contact email","type":"Support email"},{"url":"https://fits.gsfc.nasa.gov/iaufwg/","name":"FITS IAU WG","type":"Forum"},{"url":"https://fits.gsfc.nasa.gov/fits_documentation.html","name":"Documentation","type":"Help documentation"}],"year_creation":1978},"legacy_ids":["bsg-000712","bsg-s000712"],"name":"FAIRsharing record for: Flexible Image Transport System","abbreviation":"FITS","url":"https://fairsharing.org/10.25504/FAIRsharing.xvash1","doi":"10.25504/FAIRsharing.xvash1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard defines a digital file format useful for storage, transmission and processing of scientific and other images in astronomy. Unlike many image formats, FITS is designed specifically for scientific data and hence includes many provisions for describing photometric and spatial calibration information, together with image origin metadata. A major feature of the FITS format is that image metadata is stored in a human-readable ASCII header, so that an interested user can examine the headers to investigate an archived file of unknown provenance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Resource metadata","Imaging","Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","France","Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6765,"fairsharing_record_id":1094,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:13.112Z","updated_at":"2021-09-30T09:28:13.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1067","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T21:17:14.000Z","updated_at":"2023-09-29T11:54:58.239Z","metadata":{"doi":"10.25504/FAIRsharing.a0c765","name":"Language resource management -- Controlled natural language (CNL) -- Part 1: Basic concepts and principles","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37334.html","citations":[],"identifier":1067,"description":"As part of a drive to provide international standards for language resource management, ISO/TS 24620-1:2015 on controlled natural language (CNL) sets out the principles of CNL and its utilization together with the relevant supporting technology. However, ISO/TS 24620-1:2015 also aims to introduce a general view of CNL with its objectives and characteristics and provide a scheme for classifying a range of CNLs. ISO/TS 24620-1:2015 additionally specifies certain normalizing principles of CNLs that control the use of natural languages in particular domains and are also oriented towards areas of practical application.","abbreviation":"ISO/TS 24620-1:2015","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37334.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2009},"legacy_ids":["bsg-001267","bsg-s001267"],"name":"FAIRsharing record for: Language resource management -- Controlled natural language (CNL) -- Part 1: Basic concepts and principles","abbreviation":"ISO/TS 24620-1:2015","url":"https://fairsharing.org/10.25504/FAIRsharing.a0c765","doi":"10.25504/FAIRsharing.a0c765","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As part of a drive to provide international standards for language resource management, ISO/TS 24620-1:2015 on controlled natural language (CNL) sets out the principles of CNL and its utilization together with the relevant supporting technology. However, ISO/TS 24620-1:2015 also aims to introduce a general view of CNL with its objectives and characteristics and provide a scheme for classifying a range of CNLs. ISO/TS 24620-1:2015 additionally specifies certain normalizing principles of CNLs that control the use of natural languages in particular domains and are also oriented towards areas of practical application.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":469,"relation":"undefined"}],"grants":[{"id":6700,"fairsharing_record_id":1067,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:10.672Z","updated_at":"2021-09-30T09:28:10.672Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10921,"fairsharing_record_id":1067,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:11:52.761Z","updated_at":"2023-09-27T14:11:52.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1150","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T12:02:13.406Z","metadata":{"doi":"10.25504/FAIRsharing.brhpb0","name":"Ontology of Prokaryotic Phenotypic and Metabolic Characters","status":"uncertain","contacts":[{"contact_name":"Carrine Blank","contact_email":"carrine.blank@umontana.edu"}],"homepage":"https://github.com/carrineblank/MicrO","citations":[{"doi":"10.1186/s13326-016-0060-6","pubmed_id":27076900,"publication_id":2520}],"identifier":1150,"description":"MicrO is an ontology of microbiological terms, including prokaryotic qualities and processes, material entities (such as cell components), chemical entities (such as microbiological culture media and medium ingredients), and assays. The ontology was built to support the ongoing development of a natural language processing algorithm, MicroPIE (or, Microbial Phenomics Information Extractor). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","abbreviation":"MicrO","support_links":[{"url":"https://github.com/carrineblank/MicrO/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2013},"legacy_ids":["bsg-000784","bsg-s000784"],"name":"FAIRsharing record for: Ontology of Prokaryotic Phenotypic and Metabolic Characters","abbreviation":"MicrO","url":"https://fairsharing.org/10.25504/FAIRsharing.brhpb0","doi":"10.25504/FAIRsharing.brhpb0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MicrO is an ontology of microbiological terms, including prokaryotic qualities and processes, material entities (such as cell components), chemical entities (such as microbiological culture media and medium ingredients), and assays. The ontology was built to support the ongoing development of a natural language processing algorithm, MicroPIE (or, Microbial Phenomics Information Extractor). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Microbiology"],"domains":["Assay","Cell culture","Phenotype"],"taxonomies":["Archaea","Bacteria","Cyanobacteria","Firmicutes"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2520,"pubmed_id":27076900,"title":"MicrO: an ontology of phenotypic and metabolic characters, assays, and culture media found in prokaryotic taxonomic descriptions.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0060-6","authors":"Blank CE,Cui H,Moore LR,Walls RL","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0060-6","created_at":"2021-09-30T08:27:09.176Z","updated_at":"2021-09-30T08:27:09.176Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":305,"relation":"undefined"}],"grants":[{"id":6882,"fairsharing_record_id":1150,"organisation_id":3100,"relation":"maintains","created_at":"2021-09-30T09:28:17.429Z","updated_at":"2021-09-30T09:28:17.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":3100,"name":"University of Montana, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6881,"fairsharing_record_id":1150,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:17.392Z","updated_at":"2021-09-30T09:31:15.466Z","grant_id":1090,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Assembling the Tree of Life Program DBI-1208534","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1151","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T15:41:54.000Z","updated_at":"2023-09-29T11:55:00.949Z","metadata":{"doi":"10.25504/FAIRsharing.634749","name":"ISO 15189:2012 Medical laboratories — Requirements for quality and competence","status":"ready","contacts":[{"contact_name":"ISO/TC 212 - Secretariat","contact_email":"info@ansi.org"}],"homepage":"https://www.iso.org/standard/56115.html","citations":[],"identifier":1151,"description":"ISO 15189:2012 specifies requirements for quality and competence in medical laboratories. ISO 15189:2012 can be used by medical laboratories in developing their quality management systems and assessing their own competence. It can also be used for confirming or recognizing the competence of medical laboratories by laboratory customers, regulating authorities and accreditation bodies.","abbreviation":"ISO 15189:2012","support_links":[{"url":"https://en.wikipedia.org/wiki/ISO_15189","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012},"legacy_ids":["bsg-001590","bsg-s001590"],"name":"FAIRsharing record for: ISO 15189:2012 Medical laboratories — Requirements for quality and competence","abbreviation":"ISO 15189:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.634749","doi":"10.25504/FAIRsharing.634749","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 15189:2012 specifies requirements for quality and competence in medical laboratories. ISO 15189:2012 can be used by medical laboratories in developing their quality management systems and assessing their own competence. It can also be used for confirming or recognizing the competence of medical laboratories by laboratory customers, regulating authorities and accreditation bodies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12138}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Biomedical Science"],"domains":["Quality control","Legal regulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":276,"relation":"undefined"}],"grants":[{"id":6883,"fairsharing_record_id":1151,"organisation_id":2714,"relation":"maintains","created_at":"2021-09-30T09:28:17.466Z","updated_at":"2021-09-30T09:28:17.466Z","grant_id":null,"is_lead":true,"saved_state":{"id":2714,"name":"Technical Committee 212, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10936,"fairsharing_record_id":1151,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:24:02.525Z","updated_at":"2023-09-27T14:24:02.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1152","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:27.675Z","metadata":{"doi":"10.25504/FAIRsharing.1a27h8","name":"Anatomical Therapeutic Chemical Classification","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"whocc@fhi.no"}],"homepage":"http://www.whocc.no/atc/structure_and_principles/","identifier":1152,"description":"The Anatomical Therapeutic Chemical (ATC) Classification System is used for the classification of active ingredients of drugs according to the organ or system on which they act and their therapeutic, pharmacological and chemical properties. It is controlled by the World Health Organization Collaborating Centre for Drug Statistics Methodology (WHOCC), and was first published in 1976.","abbreviation":"ATC","support_links":[{"url":"http://en.wikipedia.org/wiki/Anatomical_Therapeutic_Chemical_Classification_System","type":"Wikipedia"},{"url":"http://www.whocc.no/courses/","type":"Training documentation"}],"year_creation":1976,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ATC","name":"ATC","portal":"BioPortal"}]},"legacy_ids":["bsg-002794","bsg-s002794"],"name":"FAIRsharing record for: Anatomical Therapeutic Chemical Classification","abbreviation":"ATC","url":"https://fairsharing.org/10.25504/FAIRsharing.1a27h8","doi":"10.25504/FAIRsharing.1a27h8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Anatomical Therapeutic Chemical (ATC) Classification System is used for the classification of active ingredients of drugs according to the organ or system on which they act and their therapeutic, pharmacological and chemical properties. It is controlled by the World Health Organization Collaborating Centre for Drug Statistics Methodology (WHOCC), and was first published in 1976.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17329},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12214},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13176},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14547},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16983}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemical Biology","Pharmacology","Biomedical Science"],"domains":["Anatomical Therapeutic Chemical Code","Drug","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Pharmacological family classification"],"countries":["Norway"],"publications":[{"id":2323,"pubmed_id":11214783,"title":"Different versions of the anatomical therapeutic chemical classification system and the defined daily dose--are drug utilisation data comparable?","year":2001,"url":"http://doi.org/10.1007/s002280000200","authors":"Ronning M,Blix HS,Harbo BT,Strom H","journal":"Eur J Clin Pharmacol","doi":"10.1007/s002280000200","created_at":"2021-09-30T08:26:45.110Z","updated_at":"2021-09-30T08:26:45.110Z"},{"id":2324,"pubmed_id":7368387,"title":"[New classification of drugs. The Medical list and the Drug catalogue are introduced in Anatomical--Therapeutic--Chemical classification code (ACT-code) in 1981].","year":1980,"url":"https://www.ncbi.nlm.nih.gov/pubmed/7368387","authors":"Hvidberg E,Andersen AH","journal":"Ugeskr Laeger","doi":null,"created_at":"2021-09-30T08:26:45.277Z","updated_at":"2021-09-30T08:26:45.277Z"}],"licence_links":[],"grants":[{"id":6884,"fairsharing_record_id":1152,"organisation_id":2188,"relation":"maintains","created_at":"2021-09-30T09:28:17.495Z","updated_at":"2021-09-30T09:28:17.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2188,"name":"Norwegian Institute of Public Health","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6886,"fairsharing_record_id":1152,"organisation_id":94,"relation":"maintains","created_at":"2021-09-30T09:28:17.550Z","updated_at":"2021-09-30T09:28:17.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":94,"name":"Anatomical Therapeutic Chemical (ATC) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6885,"fairsharing_record_id":1152,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:17.520Z","updated_at":"2021-09-30T09:28:17.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1153","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:52:50.596Z","metadata":{"doi":"10.25504/FAIRsharing.h9gdcb","name":"Tumor model repositories Markup Language","status":"ready","contacts":[{"contact_name":"David Johnson","contact_email":"david.johnson@cs.ox.ac.uk","contact_orcid":"0000-0002-2323-6847"}],"homepage":"http://www.github.com/tumorml","identifier":1153,"description":"Originally developed as part of the FP7 Transatlantic Tumor Model Repositories project, TumorML has been developed as an XML-based domain-specific vocabulary that includes elements from existing vocabularies, to deal with storing and transmitting existing cancer models among research communities.","abbreviation":"TumorML","year_creation":2010,"associated_tools":[{"url":"https://github.com/tumorml/TumorML-validator","name":"TumorML Validator"}]},"legacy_ids":["bsg-000540","bsg-s000540"],"name":"FAIRsharing record for: Tumor model repositories Markup Language","abbreviation":"TumorML","url":"https://fairsharing.org/10.25504/FAIRsharing.h9gdcb","doi":"10.25504/FAIRsharing.h9gdcb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Originally developed as part of the FP7 Transatlantic Tumor Model Repositories project, TumorML has been developed as an XML-based domain-specific vocabulary that includes elements from existing vocabularies, to deal with storing and transmitting existing cancer models among research communities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Mathematical model","Cancer","Modeling and simulation","Tumor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":470,"pubmed_id":23700360,"title":"Dealing with Diversity in Computational Cancer Modeling","year":2013,"url":"http://doi.org/10.4137/CIN.S11583","authors":"David Johnson, Steve McKeever, Georgios Stamatakos, Dimitra Dionysiou, Norbert Graf, Vangelis Sakkalis, Konstantinos Marias, Zhihui Wang, and Thomas S. Deisboeck","journal":"Cancer Informatics","doi":"10.4137/CIN.S11583","created_at":"2021-09-30T08:23:11.109Z","updated_at":"2021-09-30T08:23:11.109Z"},{"id":743,"pubmed_id":null,"title":"Connecting digital cancer model repositories with markup: introducing TumorML version 1.0","year":2013,"url":"http://doi.org/10.1145/2544063.2544064","authors":"David Johnson, Steve McKeever, Thomas S. Deisboeck and Zhihui Wang","journal":"ACM SIGBioinformatics Record","doi":"10.1145/2544063.2544064","created_at":"2021-09-30T08:23:41.824Z","updated_at":"2021-09-30T08:23:41.824Z"},{"id":1815,"pubmed_id":25520553,"title":"Semantically linking in silico cancer models","year":2014,"url":"http://doi.org/10.4137/CIN.S13895","authors":"David Johnson, Anthony J. Connor, Steve McKeever, Zhihui Wang, Thomas S. Deisboeck, Tom Quaiser and Eliezer Shochat","journal":"Cancer Informatics","doi":"10.4137/CIN.S13895","created_at":"2021-09-30T08:25:43.756Z","updated_at":"2021-09-30T08:25:43.756Z"},{"id":2151,"pubmed_id":22254343,"title":"TumorML: Concept and requirements of an in silico cancer modelling markup language","year":2012,"url":"http://doi.org/10.1109/IEMBS.2011.6090060","authors":"David Johnson, Jonathan Cooper and Steve McKeever","journal":"Conf Proc IEEE Eng Med Biol Soc","doi":"10.1109/IEMBS.2011.6090060","created_at":"2021-09-30T08:26:22.392Z","updated_at":"2021-09-30T08:26:22.392Z"}],"licence_links":[],"grants":[{"id":6888,"fairsharing_record_id":1153,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:17.621Z","updated_at":"2021-09-30T09:30:53.600Z","grant_id":921,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7-ICT-2009.5.4- 247754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6887,"fairsharing_record_id":1153,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:17.588Z","updated_at":"2021-09-30T09:28:17.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1154","type":"fairsharing_records","attributes":{"created_at":"2021-05-10T11:51:00.000Z","updated_at":"2023-09-29T11:55:01.392Z","metadata":{"doi":"10.25504/FAIRsharing.1d13e7","name":"CCSDS and ISO Reference Model for an Open Archival Information System","status":"ready","contacts":[{"contact_name":"Mr Sami Asmar","contact_email":"sami.w.asmar@jpl.nasa.gov"}],"homepage":"https://www.iso.org/standard/57284.html","identifier":1154,"description":"The Consultative Committee for Space Data Systems (CCSDS) and International Organization for Standardization (ISO) 14721:2012 Reference Model for an Open Archival Information System (OAIS) was developed to facilitate a broad, discipline independent, consensus on the requirements for an archive or repository to provide long-term, preservation of digital information. It was also intended to support the development of additional digital preservation standards. OAIS provides a model for describing an Archive, consisting of an organization, which may be part of a larger organization, of people and systems that has accepted the responsibility to preserve information and make it available for a Designated Community. The term ‘Open’ in OAIS is used to imply that this Recommendation, as well as future related Recommendations and standards, are developed in open forums, and it does not imply that access to the Archive is unrestricted.","abbreviation":"ISO 14721:2012 (OAIS)","support_links":[{"url":"secretariat@mailman.ccsds.org","name":"CCSDS General Contact","type":"Support email"},{"url":"http://www.oais.info/","name":"General OAIS Information","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001613","bsg-s001613"],"name":"FAIRsharing record for: CCSDS and ISO Reference Model for an Open Archival Information System","abbreviation":"ISO 14721:2012 (OAIS)","url":"https://fairsharing.org/10.25504/FAIRsharing.1d13e7","doi":"10.25504/FAIRsharing.1d13e7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Consultative Committee for Space Data Systems (CCSDS) and International Organization for Standardization (ISO) 14721:2012 Reference Model for an Open Archival Information System (OAIS) was developed to facilitate a broad, discipline independent, consensus on the requirements for an archive or repository to provide long-term, preservation of digital information. It was also intended to support the development of additional digital preservation standards. OAIS provides a model for describing an Archive, consisting of an organization, which may be part of a larger organization, of people and systems that has accepted the responsibility to preserve information and make it available for a Designated Community. The term ‘Open’ in OAIS is used to imply that this Recommendation, as well as future related Recommendations and standards, are developed in open forums, and it does not imply that access to the Archive is unrestricted.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Governance","Data Management"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":599,"relation":"undefined"}],"grants":[{"id":6890,"fairsharing_record_id":1154,"organisation_id":2760,"relation":"maintains","created_at":"2021-09-30T09:28:17.701Z","updated_at":"2021-09-30T09:28:17.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":2760,"name":"The Consultative Committee for Space Data Systems","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10938,"fairsharing_record_id":1154,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:48:09.109Z","updated_at":"2023-09-27T14:48:09.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6889,"fairsharing_record_id":1154,"organisation_id":2716,"relation":"maintains","created_at":"2021-09-30T09:28:17.659Z","updated_at":"2021-09-30T09:28:17.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":2716,"name":"Technical Committee ISO/TC 20/SC 13, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1143","type":"fairsharing_records","attributes":{"created_at":"2017-03-02T11:31:15.000Z","updated_at":"2024-03-18T06:53:14.944Z","metadata":{"doi":"10.25504/FAIRsharing.v033mj","name":"proBed","status":"in_development","contacts":[{"contact_name":"Tobias Ternent","contact_email":"tobias@ebi.ac.uk"}],"homepage":"http://www.psidev.info/probed","citations":[],"identifier":1143,"description":"The Proteomics Informatics Working Group is developing standards for describing the results of identification and quantification processes for proteins, peptides, small molecules and protein modifications from mass spectrometry. This working group is developing proBed, a tab delimited text file format to report “proteogenomics” results, i.e. the identification and mapping of peptide/protein sequences back against a genome, to assist in annotation efforts. The original BED format is used to describe genome coordinate data across lines, for use on annotation tracks. In BED, data lines are defined as tab-separated plain text with 12 mandatory fields (columns). Of those, only the first three fields are required, and the other 9 are optional. The proBed format builds upon this original structure by extending the 12 original BED fields to include a further 13 fields to describe information primarily on peptide-spectrum matches (PSMs). The format can also accommodate peptides (as groups of PSMs).","abbreviation":"proBed","support_links":[{"url":"https://goo.gl/FM2w66","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/PRIDE-Utilities/ms-data-core-api","name":"ms-data-core-api"},{"url":"https://github.com/PRIDE-Toolsuite/PGConverter","name":"PGConverter"},{"url":"http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/bedToBigBed","name":"bedToBigBed"}]},"legacy_ids":["bsg-000694","bsg-s000694"],"name":"FAIRsharing record for: proBed","abbreviation":"proBed","url":"https://fairsharing.org/10.25504/FAIRsharing.v033mj","doi":"10.25504/FAIRsharing.v033mj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Proteomics Informatics Working Group is developing standards for describing the results of identification and quantification processes for proteins, peptides, small molecules and protein modifications from mass spectrometry. This working group is developing proBed, a tab delimited text file format to report “proteogenomics” results, i.e. the identification and mapping of peptide/protein sequences back against a genome, to assist in annotation efforts. The original BED format is used to describe genome coordinate data across lines, for use on annotation tracks. In BED, data lines are defined as tab-separated plain text with 12 mandatory fields (columns). Of those, only the first three fields are required, and the other 9 are optional. The proBed format builds upon this original structure by extending the 12 original BED fields to include a further 13 fields to describe information primarily on peptide-spectrum matches (PSMs). The format can also accommodate peptides (as groups of PSMs).","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11450},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12097},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12504}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteogenomics","Life Science"],"domains":["Mass spectrum","Protein modification","Small molecule","Peak matching","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":["Peptide-spectrum matching"],"countries":["United Kingdom","United States"],"publications":[{"id":4183,"pubmed_id":null,"title":"The proBAM and proBed standard formats: enabling a seamless integration of genomics and proteomics data","year":2018,"url":"http://dx.doi.org/10.1186/s13059-017-1377-x","authors":"Menschaert, Gerben; Wang, Xiaojing; Jones, Andrew R.; Ghali, Fawaz; Fenyö, David; Olexiouk, Volodimir; Zhang, Bing; Deutsch, Eric W.; Ternent, Tobias; Vizcaíno, Juan Antonio; ","journal":"Genome Biol","doi":"10.1186/s13059-017-1377-x","created_at":"2024-03-04T19:54:18.955Z","updated_at":"2024-03-04T19:54:18.955Z"}],"licence_links":[],"grants":[{"id":6864,"fairsharing_record_id":1143,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:16.826Z","updated_at":"2021-09-30T09:28:16.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1144","type":"fairsharing_records","attributes":{"created_at":"2018-11-21T19:58:29.000Z","updated_at":"2021-11-24T13:14:27.572Z","metadata":{"doi":"10.25504/FAIRsharing.e1yjxM","name":"CDISC Glossary","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/glossary","identifier":1144,"description":"CDISC Glossary seeks to harmonize definitions (including acronyms, abbreviations, and initials) used in the various standards initiatives undertaken by CDISC in clinical research. Glossary also serves the community of clinical researchers by selecting and defining terms pertaining to clinical research, particularly eClinical investigations, sponsored by the pharmaceutical industry or a federal agency.","abbreviation":"Glossary"},"legacy_ids":["bsg-001337","bsg-s001337"],"name":"FAIRsharing record for: CDISC Glossary","abbreviation":"Glossary","url":"https://fairsharing.org/10.25504/FAIRsharing.e1yjxM","doi":"10.25504/FAIRsharing.e1yjxM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC Glossary seeks to harmonize definitions (including acronyms, abbreviations, and initials) used in the various standards initiatives undertaken by CDISC in clinical research. Glossary also serves the community of clinical researchers by selecting and defining terms pertaining to clinical research, particularly eClinical investigations, sponsored by the pharmaceutical industry or a federal agency.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12127},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12540}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6865,"fairsharing_record_id":1144,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:28:16.856Z","updated_at":"2021-09-30T09:28:16.856Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6866,"fairsharing_record_id":1144,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:16.898Z","updated_at":"2021-09-30T09:28:16.898Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1145","type":"fairsharing_records","attributes":{"created_at":"2020-05-29T14:50:42.000Z","updated_at":"2023-06-02T15:14:19.460Z","metadata":{"doi":"10.25504/FAIRsharing.XYFbZD","name":"Human Diseases Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/VH8/en/","citations":[],"identifier":1145,"description":"The Human Diseases Thesaurus describes human diseases, and is part of the Medicine vocabulary used from 1972 to 2015 for indexing bibliographical records in the now-archived PASCAL database (http://pascal-francis.inist.fr/). It is available in English and French.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001488","bsg-s001488"],"name":"FAIRsharing record for: Human Diseases Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.XYFbZD","doi":"10.25504/FAIRsharing.XYFbZD","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Diseases Thesaurus describes human diseases, and is part of the Medicine vocabulary used from 1972 to 2015 for indexing bibliographical records in the now-archived PASCAL database (http://pascal-francis.inist.fr/). It is available in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11307}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Life Science","Pathology"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":597,"relation":"undefined"}],"grants":[{"id":6868,"fairsharing_record_id":1145,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.978Z","updated_at":"2021-09-30T09:28:16.978Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6867,"fairsharing_record_id":1145,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.940Z","updated_at":"2021-09-30T09:28:16.940Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1146","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T19:28:05.000Z","updated_at":"2022-07-20T10:13:23.638Z","metadata":{"doi":"10.25504/FAIRsharing.b33ae1","name":"Technical Metadata for Text","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ndmso@loc.gov"}],"homepage":"https://www.loc.gov/standards/textMD/","identifier":1146,"description":"textMD is a XML Schema that details technical metadata for text-based digital objects. It most commonly serves as an extension schema used within the Metadata Encoding and Transmission Schema (METS) administrative metadata section. However, it could also exist as a standalone document. textMD can be used within the PREMIS element \u003cobjectCharacteristicsExtension\u003e, as an extension for format-specific metadata within the PREMIS preservation metadata XML Schema versions 2.0 and 2.1. The textMD schema allows for detailing properties such as: encoding information (quality, platform, software, agent); character information (character set and size, byte order and size, line terminators); languages; fonts; markup information; processing and textual notes; technical requirements for printing and viewing; and page ordering and sequencing.","abbreviation":"textMD","support_links":[{"url":"http://listserv.loc.gov/archives/textmd.html","name":"textMD mailing list","type":"Mailing list"},{"url":"https://www.loc.gov/standards/textMD/elementSet/index.html","name":"Element Set Documentation","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001276","bsg-s001276"],"name":"FAIRsharing record for: Technical Metadata for Text","abbreviation":"textMD","url":"https://fairsharing.org/10.25504/FAIRsharing.b33ae1","doi":"10.25504/FAIRsharing.b33ae1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: textMD is a XML Schema that details technical metadata for text-based digital objects. It most commonly serves as an extension schema used within the Metadata Encoding and Transmission Schema (METS) administrative metadata section. However, it could also exist as a standalone document. textMD can be used within the PREMIS element \u003cobjectCharacteristicsExtension\u003e, as an extension for format-specific metadata within the PREMIS preservation metadata XML Schema versions 2.0 and 2.1. The textMD schema allows for detailing properties such as: encoding information (quality, platform, software, agent); character information (character set and size, byte order and size, line terminators); languages; fonts; markup information; processing and textual notes; technical requirements for printing and viewing; and page ordering and sequencing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Document metadata","Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6869,"fairsharing_record_id":1146,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:17.015Z","updated_at":"2021-09-30T09:28:17.015Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1147","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:55:19.000Z","updated_at":"2023-06-05T06:22:04.550Z","metadata":{"doi":"10.25504/FAIRsharing.U7rBYm","name":"Vocabulary of Earth Sciences","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/26L/en/","citations":[],"identifier":1147,"description":"Earth and Universe Sciences controlled vocabulary used for indexing bibliographical records for the PASCAL database. This resource contains 10835 entries grouped into 60 collections, in two languages (English and French).","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001417","bsg-s001417"],"name":"FAIRsharing record for: Vocabulary of Earth Sciences","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.U7rBYm","doi":"10.25504/FAIRsharing.U7rBYm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Earth and Universe Sciences controlled vocabulary used for indexing bibliographical records for the PASCAL database. This resource contains 10835 entries grouped into 60 collections, in two languages (English and French).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11294}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy","Cosmology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Cosmology"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1343,"relation":"undefined"}],"grants":[{"id":6871,"fairsharing_record_id":1147,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:17.099Z","updated_at":"2021-09-30T09:28:17.099Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6870,"fairsharing_record_id":1147,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:17.057Z","updated_at":"2021-09-30T09:28:17.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1158","type":"fairsharing_records","attributes":{"created_at":"2020-05-29T14:38:31.000Z","updated_at":"2023-06-05T06:21:43.599Z","metadata":{"doi":"10.25504/FAIRsharing.2ZShyL","name":"Ethnology vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/KW5/en/","citations":[],"identifier":1158,"description":"The Ethnology vocabulary is a controlled vocabulary used for indexing the bibliographical records for the now-archived \"Ethnology\" FRANCIS database (1972 - 2015, http://pascal-francis.inist.fr/). This resource contains over 9000 classes, with each class available in English and French.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001487","bsg-s001487"],"name":"FAIRsharing record for: Ethnology vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2ZShyL","doi":"10.25504/FAIRsharing.2ZShyL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ethnology vocabulary is a controlled vocabulary used for indexing the bibliographical records for the now-archived \"Ethnology\" FRANCIS database (1972 - 2015, http://pascal-francis.inist.fr/). This resource contains over 9000 classes, with each class available in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11308}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science","Social Anthropology"],"domains":["Bibliography"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Ethnology"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":598,"relation":"undefined"}],"grants":[{"id":6900,"fairsharing_record_id":1158,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:18.092Z","updated_at":"2021-09-30T09:28:18.092Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6901,"fairsharing_record_id":1158,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:18.134Z","updated_at":"2021-09-30T09:28:18.134Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1159","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T11:36:45.000Z","updated_at":"2022-07-20T12:00:03.287Z","metadata":{"doi":"10.25504/FAIRsharing.df206a","name":"International Standard Bibliographic Description","status":"ready","contacts":[],"homepage":"https://www.ifla.org/publications/international-standard-bibliographic-description","citations":[],"identifier":1159,"description":"The consolidated edition of the International Standard Bibliographic Description (ISBD) specifies the requirements for description and identification of single-part resources and multi-part resources. This consolidated edition merges the texts of the seven specialized ISBDs (for books, maps, serials, sound recordings, computer files and other electronic resources, etc.) into a single text. The ISBD is useful and applicable for descriptions of bibliographic resources in any type of catalogue. In this edition the stipulations for cataloguing the various resources have been made more consistent with each other and brought up to date. The area 0 for content form and media type is included for the first time. The designation of mandatory ISBD elements has been brought into conformity with the requirements for a basic level national bibliographic record as determined by the Functional Requirements for Bibliographic Records (FRBR).","abbreviation":"ISBD","support_links":[{"url":"https://en.wikipedia.org/wiki/International_Standard_Bibliographic_Description","name":"Wikipedia entry","type":"Wikipedia"},{"url":"https://www.ifla.org/news/","type":"Blog/News"},{"url":"https://twitter.com/ifla","name":"@IFLA","type":"Twitter"},{"url":"https://www.ifla.org/contact-us/","name":"Contact us","type":"Contact form"}],"year_creation":1971},"legacy_ids":["bsg-001245","bsg-s001245"],"name":"FAIRsharing record for: International Standard Bibliographic Description","abbreviation":"ISBD","url":"https://fairsharing.org/10.25504/FAIRsharing.df206a","doi":"10.25504/FAIRsharing.df206a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The consolidated edition of the International Standard Bibliographic Description (ISBD) specifies the requirements for description and identification of single-part resources and multi-part resources. This consolidated edition merges the texts of the seven specialized ISBDs (for books, maps, serials, sound recordings, computer files and other electronic resources, etc.) into a single text. The ISBD is useful and applicable for descriptions of bibliographic resources in any type of catalogue. In this edition the stipulations for cataloguing the various resources have been made more consistent with each other and brought up to date. The area 0 for content form and media type is included for the first time. The designation of mandatory ISBD elements has been brought into conformity with the requirements for a basic level national bibliographic record as determined by the Functional Requirements for Bibliographic Records (FRBR).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Bibliography","Publication","Digital curation","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Publishing"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":893,"relation":"undefined"}],"grants":[{"id":6902,"fairsharing_record_id":1159,"organisation_id":1489,"relation":"maintains","created_at":"2021-09-30T09:28:18.175Z","updated_at":"2021-09-30T09:28:18.175Z","grant_id":null,"is_lead":true,"saved_state":{"id":1489,"name":"International Federation of Library Associations and Institutions (IFLA), The Hague, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1160","type":"fairsharing_records","attributes":{"created_at":"2020-04-29T13:36:22.000Z","updated_at":"2023-01-16T09:26:43.442Z","metadata":{"doi":"10.25504/FAIRsharing.dc34f4","name":"COVID19 Surveillance Ontology","status":"ready","contacts":[{"contact_name":"Simon de Lusignan","contact_email":"simon.delusignan@phc.ox.ac.uk"}],"homepage":"https://bioportal.bioontology.org/ontologies/COVID19","citations":[],"identifier":1160,"description":"The COVID-19 Surveillance Ontology is an application ontology used to support COVID-19 (Wuhan novel Coronavirus infection) surveillance in primary care. The ontology facilitates monitoring of COVID-19 cases and related respiratory conditions using data from multiple brands of computerised medical record systems.","abbreviation":"CSO","support_links":[{"url":"dylan.mcgagh@magd.ox.ac.uk","name":"Dylan McGagh","type":"Support email"},{"url":"harshana.liyanage@phc.ox.ac.uk","name":"Harshana Liyanage ","type":"Support email"},{"url":"john.williams@phc.ox.ac.uk","name":"John Williams","type":"Support email"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSO","name":"CSO","portal":"BioPortal"}]},"legacy_ids":["bsg-001473","bsg-s001473"],"name":"FAIRsharing record for: COVID19 Surveillance Ontology","abbreviation":"CSO","url":"https://fairsharing.org/10.25504/FAIRsharing.dc34f4","doi":"10.25504/FAIRsharing.dc34f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COVID-19 Surveillance Ontology is an application ontology used to support COVID-19 (Wuhan novel Coronavirus infection) surveillance in primary care. The ontology facilitates monitoring of COVID-19 cases and related respiratory conditions using data from multiple brands of computerised medical record systems.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12290},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12552}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Critical Care Medicine","Public Health","Health Science","Primary Health Care"],"domains":["Patient care","Monitoring"],"taxonomies":["Coronaviridae","Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":3768,"pubmed_id":33112762,"title":"COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology.","year":2020,"url":"https://doi.org/10.2196/21434","authors":"de Lusignan S, Liyanage H, McGagh D, Jani BD, Bauwens J, Byford R, Evans D, Fahey T, Greenhalgh T, Jones N, Mair FS, Okusi C, Parimalanathan V, Pell JP, Sherlock J, Tamburis O, Tripathy M, Ferreira F, Williams J, Hobbs FDR","journal":"JMIR public health and surveillance","doi":"10.2196/21434","created_at":"2023-01-16T09:22:59.858Z","updated_at":"2023-01-16T09:22:59.858Z"}],"licence_links":[],"grants":[{"id":6903,"fairsharing_record_id":1160,"organisation_id":2202,"relation":"maintains","created_at":"2021-09-30T09:28:18.213Z","updated_at":"2021-09-30T09:28:18.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":2202,"name":"Nuffield Department of Primary Care Health Sciences, University of Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1161","type":"fairsharing_records","attributes":{"created_at":"2016-05-19T13:18:31.000Z","updated_at":"2022-07-20T13:11:22.230Z","metadata":{"doi":"10.25504/FAIRsharing.27tnee","name":"Open Modeling EXchange format","status":"ready","contacts":[{"contact_name":"Nicolas Le Novère","contact_email":"lenov@babraham.ac.uk"}],"homepage":"http://co.mbine.org/specifications/omex.version-1","citations":[{"doi":"10.1186/s12859-014-0369-z","pubmed_id":25494900,"publication_id":1181}],"identifier":1161,"description":"Open Modeling EXchange format (OMEX), together with the use of other standard formats from the Computational Modeling in Biology Network (COMBINE), is the basis of the COMBINE Archive, a single file that supports the exchange of all the information necessary for a modeling and simulation experiment in biology. An OMEX file is a ZIP container that includes a manifest file, listing the content of the archive, an optional metadata file adding information about the archive and its content, and the files describing the model.","abbreviation":"OMEX","support_links":[{"url":"https://groups.google.com/forum/?hl=en-GB#!forum/combine-archive","name":"OMEX format discussion","type":"Forum"},{"url":"https://groups.google.com/forum/?hl=en-GB#!forum/combine-support","name":"Report problems with the website","type":"Forum"},{"url":"https://tess.elixir-europe.org/materials/runbiosimulations-tutorial-and-help","name":"runBioSimulations tutorial and help","type":"TeSS links to training materials"}],"year_creation":2014},"legacy_ids":["bsg-000668","bsg-s000668"],"name":"FAIRsharing record for: Open Modeling EXchange format","abbreviation":"OMEX","url":"https://fairsharing.org/10.25504/FAIRsharing.27tnee","doi":"10.25504/FAIRsharing.27tnee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Modeling EXchange format (OMEX), together with the use of other standard formats from the Computational Modeling in Biology Network (COMBINE), is the basis of the COMBINE Archive, a single file that supports the exchange of all the information necessary for a modeling and simulation experiment in biology. An OMEX file is a ZIP container that includes a manifest file, listing the content of the archive, an optional metadata file adding information about the archive and its content, and the files describing the model.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12072},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12224},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16915}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Systems Biology"],"domains":["Mathematical model","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","New Zealand","United Kingdom","United States","European Union"],"publications":[{"id":1181,"pubmed_id":25494900,"title":"COMBINE archive and OMEX format: one file to share all information to reproduce a modeling project.","year":2014,"url":"http://doi.org/10.1186/s12859-014-0369-z","authors":"Bergmann FT,Adams R,Moodie S,Cooper J,Glont M,Golebiewski M,Hucka M,Laibe C,Miller AK,Nickerson DP,Olivier BG,Rodriguez N,Sauro HM,Scharm M,Soiland-Reyes S,Waltemath D,Yvon F,Le Novere N","journal":"BMC Bioinformatics","doi":"10.1186/s12859-014-0369-z","created_at":"2021-09-30T08:24:31.292Z","updated_at":"2021-09-30T08:24:31.292Z"}],"licence_links":[],"grants":[{"id":6905,"fairsharing_record_id":1161,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:28:18.293Z","updated_at":"2021-09-30T09:31:17.746Z","grant_id":1106,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115156","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6904,"fairsharing_record_id":1161,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:18.251Z","updated_at":"2021-09-30T09:28:18.251Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6908,"fairsharing_record_id":1161,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:18.414Z","updated_at":"2021-09-30T09:29:34.093Z","grant_id":304,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/I017909/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6906,"fairsharing_record_id":1161,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:18.333Z","updated_at":"2021-09-30T09:31:58.042Z","grant_id":1409,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM070923","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6907,"fairsharing_record_id":1161,"organisation_id":2851,"relation":"funds","created_at":"2021-09-30T09:28:18.376Z","updated_at":"2021-09-30T09:32:07.317Z","grant_id":1478,"is_lead":false,"saved_state":{"id":2851,"name":"The Virtual Physiological Rat Project","grant":"NIH P50-GM094503","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1162","type":"fairsharing_records","attributes":{"created_at":"2018-08-12T09:39:15.000Z","updated_at":"2024-05-02T09:57:31.593Z","metadata":{"doi":"10.25504/FAIRsharing.2e0599","name":"Component Metadata Specification","status":"ready","contacts":[{"contact_name":"CMDI Helpdesk","contact_email":"cmdi@clarin.eu"}],"homepage":"https://www.clarin.eu/cmdi","citations":[],"identifier":1162,"description":"CDMI is a standardised format for describing the components of metadata. The format is customisiable and compatible with other metadata formats. It provides a framework to describe and reuse metadata blueprints. Description building blocks (“components”, which include field definitions) can be grouped into a ready-made description format (a “profile”). Both are stored and shared with other users in the Component Registry to promote reuse. Each metadata record is then expressed as an XML file, including a link to the profile on which it is based.","abbreviation":"CMDI","support_links":[{"url":"https://www.clarin.eu/blog/cmdi-12-has-arrived","name":"Announcing CDMI 1.2","type":"Blog/News"},{"url":"https://www.clarin.eu/faq-page/267","name":"CDMI FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.clarin.eu/cmdi","name":"About Component Metadata","type":"Help documentation"},{"url":"https://www.clarin.eu/cmdi1.2-specification","name":"Technical Specification Metadata","type":"Help documentation"},{"url":"http://hdl.handle.net/11372/CMDI-0001","name":"CDMI Toolkit (GitHub)","type":"Help documentation"},{"url":"https://github.com/clarin-eric/awesome-cmdi","name":"Awesome Component Metadata Infrastrucutre (CMDI): A curated list of CMDI services, tools and documentation","type":"Help documentation"},{"url":"cmdi@clarin.eu","name":"cmdi@clarin.eu","type":"Support email"},{"url":"https://forum.clarin.eu/tag/metadata","name":"CLARIN forum","type":"Forum"}],"year_creation":2012,"associated_tools":[{"url":"https://github.com/clarin-eric/cmdi-toolkit/","name":"CMDI 1.2 toolkit"}]},"legacy_ids":["bsg-001232","bsg-s001232"],"name":"FAIRsharing record for: Component Metadata Specification","abbreviation":"CMDI","url":"https://fairsharing.org/10.25504/FAIRsharing.2e0599","doi":"10.25504/FAIRsharing.2e0599","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDMI is a standardised format for describing the components of metadata. The format is customisiable and compatible with other metadata formats. It provides a framework to describe and reuse metadata blueprints. Description building blocks (“components”, which include field definitions) can be grouped into a ready-made description format (a “profile”). Both are stored and shared with other users in the Component Registry to promote reuse. Each metadata record is then expressed as an XML file, including a link to the profile on which it is based.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Humanities and Social Science","Linguistics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands"],"publications":[{"id":3766,"pubmed_id":null,"title":"Component Metadata Infrastructure","year":2022,"url":"https://doi.org/10.1515/9783110767377-008","authors":"Windhouwer, Menzo; Goosen, Twan; ","journal":"CLARIN","doi":"10.1515/9783110767377-008","created_at":"2023-01-05T11:02:14.204Z","updated_at":"2023-01-05T11:02:14.204Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1227,"relation":"undefined"}],"grants":[{"id":6909,"fairsharing_record_id":1162,"organisation_id":566,"relation":"maintains","created_at":"2021-09-30T09:28:18.451Z","updated_at":"2021-09-30T09:28:18.451Z","grant_id":null,"is_lead":true,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure (CLARIN) European Research Infrastructure Consortium (ERIC), Utrecht University, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1163","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:16:20.570Z","metadata":{"doi":"10.25504/FAIRsharing.2m4ms9","name":"Protein MODification","status":"ready","contacts":[{"contact_name":"John S Garavelli","contact_email":"john.garavelli@ebi.ac.uk"}],"homepage":"http://www.psidev.info/groups/protein-modifications","citations":[{"doi":"10.1038/nbt0808-864","pubmed_id":18688235,"publication_id":975}],"identifier":1163,"description":"PSI-MOD is an ontology consisting of terms that describe protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified.","abbreviation":"PSI-MOD","support_links":[{"url":"pierre-alain.binz@chuv.ch","name":"Pierre-Alain Binz","type":"Support email"},{"url":"psidev-mod-vocab@lists.sourceforge.net","name":"PSI-MOD Mailing List","type":"Mailing list"},{"url":"https://sourceforge.net/p/psidev/mod-controlled-vocab-changes/","name":"PSI-MOD Changelist","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PSIMOD","name":"PSIMOD","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mod.html","name":"mod","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000138","bsg-s000138"],"name":"FAIRsharing record for: Protein MODification","abbreviation":"PSI-MOD","url":"https://fairsharing.org/10.25504/FAIRsharing.2m4ms9","doi":"10.25504/FAIRsharing.2m4ms9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PSI-MOD is an ontology consisting of terms that describe protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11143},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11426}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Enzymatic reaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Switzerland","United Kingdom","United States"],"publications":[{"id":975,"pubmed_id":18688235,"title":"The PSI-MOD community standard for representation of protein modification data.","year":2008,"url":"http://doi.org/10.1038/nbt0808-864","authors":"Montecchi-Palazzi L,Beavis R,Binz PA,Chalkley RJ,Cottrell J,Creasy D,Shofstahl J,Seymour SL,Garavelli JS","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-864","created_at":"2021-09-30T08:24:07.863Z","updated_at":"2021-09-30T08:24:07.863Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1396,"relation":"undefined"}],"grants":[{"id":6910,"fairsharing_record_id":1163,"organisation_id":1288,"relation":"maintains","created_at":"2021-09-30T09:28:18.564Z","updated_at":"2021-09-30T09:28:18.564Z","grant_id":null,"is_lead":true,"saved_state":{"id":1288,"name":"HUPO-PSI initiative; MOD administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1165","type":"fairsharing_records","attributes":{"created_at":"2018-08-16T22:11:44.000Z","updated_at":"2023-09-29T11:54:59.784Z","metadata":{"doi":"10.25504/FAIRsharing.51fdf0","name":"Language resource management -- Semantic annotation framework (SemAF) -- Part 2: Dialogue acts","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/51967.html","citations":[],"identifier":1165,"description":"ISO 24617-2:2012 provides a set of empirically and theoretically well-motivated concepts for dialogue annotation, a formal language for expressing dialogue annotations -- the dialogue act markup language (DiAML) -- and a method for segmenting a dialogue into semantic units. This allows the manual or automatic annotation of dialogue segments with information about the communicative actions which the participants perform by their contributions to the dialogue. It supports multidimensional annotation, in which units in dialogue are viewed as having multiple communicative functions. The DiAML language has an XML-based representation format and a formal semantics which makes it possible to apply inference to DiAML representations. Please note that, although this specification is current, a new revision of it is under development.","abbreviation":"ISO 24617-2:2012","support_links":[{"url":"https://www.iso.org/contents/data/standard/05/19/51967.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2012},"legacy_ids":["bsg-001236","bsg-s001236"],"name":"FAIRsharing record for: Language resource management -- Semantic annotation framework (SemAF) -- Part 2: Dialogue acts","abbreviation":"ISO 24617-2:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.51fdf0","doi":"10.25504/FAIRsharing.51fdf0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24617-2:2012 provides a set of empirically and theoretically well-motivated concepts for dialogue annotation, a formal language for expressing dialogue annotations -- the dialogue act markup language (DiAML) -- and a method for segmenting a dialogue into semantic units. This allows the manual or automatic annotation of dialogue segments with information about the communicative actions which the participants perform by their contributions to the dialogue. It supports multidimensional annotation, in which units in dialogue are viewed as having multiple communicative functions. The DiAML language has an XML-based representation format and a formal semantics which makes it possible to apply inference to DiAML representations. Please note that, although this specification is current, a new revision of it is under development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation","Curated information"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":980,"relation":"undefined"}],"grants":[{"id":6911,"fairsharing_record_id":1165,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:18.619Z","updated_at":"2021-09-30T09:28:18.619Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10931,"fairsharing_record_id":1165,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:22:05.601Z","updated_at":"2023-09-27T14:22:05.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1139","type":"fairsharing_records","attributes":{"created_at":"2018-11-21T19:51:48.000Z","updated_at":"2023-03-14T17:42:02.983Z","metadata":{"doi":"10.25504/FAIRsharing.HU7Kz2","name":"CDISC Questionnaires, Ratings and Scales","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/foundational/qrs","citations":[],"identifier":1139,"description":"CDISC develops SDTM (tabulation) and ADaM (analysis) QRS supplements that provide information on how to structure the data in a standard format for public domain and copyright-approved instruments. An instrument is a series of questions, tasks or assessments used in clinical research to provide a qualitative or quantitative assessment of a clinical concept or task-based observation. Controlled Terminology is also developed to be used with the supplements.","abbreviation":"CDISC QRS"},"legacy_ids":["bsg-001336","bsg-s001336"],"name":"FAIRsharing record for: CDISC Questionnaires, Ratings and Scales","abbreviation":"CDISC QRS","url":"https://fairsharing.org/10.25504/FAIRsharing.HU7Kz2","doi":"10.25504/FAIRsharing.HU7Kz2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC develops SDTM (tabulation) and ADaM (analysis) QRS supplements that provide information on how to structure the data in a standard format for public domain and copyright-approved instruments. An instrument is a series of questions, tasks or assessments used in clinical research to provide a qualitative or quantitative assessment of a clinical concept or task-based observation. Controlled Terminology is also developed to be used with the supplements.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12128}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Clinical Studies"],"domains":["Disease","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Structured data"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6858,"fairsharing_record_id":1139,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:16.649Z","updated_at":"2021-09-30T09:28:16.649Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6857,"fairsharing_record_id":1139,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:16.565Z","updated_at":"2021-09-30T09:28:16.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1140","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T12:56:36.000Z","updated_at":"2023-06-05T06:22:36.815Z","metadata":{"doi":"10.25504/FAIRsharing.8DrzMv","name":"Sociology Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/3JP/en/","citations":[],"identifier":1140,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Sociology\" FRANCIS database (1972-2015). It consists of 5275 entries in 2 languages (English, French).","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001408","bsg-s001408"],"name":"FAIRsharing record for: Sociology Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8DrzMv","doi":"10.25504/FAIRsharing.8DrzMv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Sociology\" FRANCIS database (1972-2015). It consists of 5275 entries in 2 languages (English, French).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11299}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Sociological Theory","Humanities and Social Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Sociology"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1682,"relation":"undefined"}],"grants":[{"id":6859,"fairsharing_record_id":1140,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.701Z","updated_at":"2021-09-30T09:28:16.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6860,"fairsharing_record_id":1140,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.726Z","updated_at":"2021-09-30T09:28:16.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1141","type":"fairsharing_records","attributes":{"created_at":"2017-11-09T11:06:03.000Z","updated_at":"2022-07-20T10:47:53.565Z","metadata":{"doi":"10.25504/FAIRsharing.q81k8w","name":"Strengthening the Reporting of Observational Studies in Epidemiology—Nutritional Epidemiology","status":"ready","contacts":[{"contact_name":"Carl Lachat","contact_email":"carl.lachat@ugent.be","contact_orcid":"0000-0002-1389-8855"}],"homepage":"http://www.strobe-nut.org","citations":[],"identifier":1141,"description":"STROBE-nut is a guideline for reporting nutrition epidemiology and dietary assessment research by extending the STROBE statement into the STROBE Extension for Nutritional Epidemiology (STROBE-nut).","abbreviation":"STROBE-nut","support_links":[{"url":"https://www.strobe-nut.ugent.be/content/how-use-strobe-nut","name":"how-use-strobe-nut","type":"Help documentation"},{"url":"https://www.strobe-nut.ugent.be/content/consortium","type":"Contact form"}],"year_creation":2016},"legacy_ids":["bsg-001089","bsg-s001089"],"name":"FAIRsharing record for: Strengthening the Reporting of Observational Studies in Epidemiology—Nutritional Epidemiology","abbreviation":"STROBE-nut","url":"https://fairsharing.org/10.25504/FAIRsharing.q81k8w","doi":"10.25504/FAIRsharing.q81k8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STROBE-nut is a guideline for reporting nutrition epidemiology and dietary assessment research by extending the STROBE statement into the STROBE Extension for Nutritional Epidemiology (STROBE-nut).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17363},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12533},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14546}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Nutritional Science","Biomedical Science"],"domains":["Food","Diet","Observation design"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Food pairing"],"countries":["Belgium","France","Sweden","United Kingdom"],"publications":[{"id":134,"pubmed_id":27270749,"title":"Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology (STROBE-nut): An Extension of the STROBE Statement","year":2016,"url":"http://doi.org/10.1371/journal.pmed.1002036","authors":"Lachat C, Hawwash D, Ocké MC, Berg C, Forsum E, Hörnell A, Larsson CL, Sonestedt E, Wirfält E, Åkesson A, Kolsteren P, Byrnes G, De Keyzer W, Van Camp J, Cade JE, Slimani N, Cevallos M, Egger M, Huybrechts I","journal":"Plos Medicine","doi":"10.1371/journal.pmed.1002036","created_at":"2021-09-30T08:22:34.681Z","updated_at":"2021-09-30T08:22:34.681Z"},{"id":142,"pubmed_id":27587981,"title":"Strengthening the Reporting of Observational Studies in Epidemiology - nutritional epidemiology (STROBE-nut): An extension of the STROBE statement","year":2016,"url":"http://doi.org/10.1111/nbu.12217","authors":"Lachat C, Hawwash D, Ocké MC, Berg C, Forsum E, Hörnell A, Larsson CL, Sonestedt E, Wirfält E, Åkesson A, Kolsteren P, Byrnes G, De Keyzer W, Van Camp J, Cade JE, Slimani N, Cevallos M, Egger M, Huybrechts I","journal":"Nutrition bulletin","doi":"10.1111/nbu.12217","created_at":"2021-09-30T08:22:35.506Z","updated_at":"2021-09-30T08:22:35.506Z"},{"id":1957,"pubmed_id":28916567,"title":"Perspective: An Extension of the STROBE Statement for Observational Studies in Nutritional Epidemiology (STROBE-nut): Explanation and Elaboration","year":2017,"url":"http://doi.org/10.3945/an.117.015941","authors":"Agneta Hörnell et al.","journal":"Advances in nutrition","doi":"10.3945/an.117.015941","created_at":"2021-09-30T08:26:00.231Z","updated_at":"2021-09-30T08:26:00.231Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1511,"relation":"undefined"}],"grants":[{"id":6861,"fairsharing_record_id":1141,"organisation_id":3299,"relation":"maintains","created_at":"2021-09-30T09:28:16.750Z","updated_at":"2021-11-09T11:28:29.421Z","grant_id":null,"is_lead":true,"saved_state":{"id":3299,"name":"UGent","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1142","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:20:34.000Z","updated_at":"2023-06-02T15:17:18.808Z","metadata":{"doi":"10.25504/FAIRsharing.9yHHCp","name":"Electronics and Optoelectronics Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/RDR/en/","citations":[],"identifier":1142,"description":"Vocabulary used for indexing bibliographical records dealing with “Electronics” in the PASCAL database, until 2014. This resource consists of 4454 entries in 3 languages (English, French and Spanish) classified under 19 collections.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001413","bsg-s001413"],"name":"FAIRsharing record for: Electronics and Optoelectronics Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9yHHCp","doi":"10.25504/FAIRsharing.9yHHCp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Vocabulary used for indexing bibliographical records dealing with “Electronics” in the PASCAL database, until 2014. This resource consists of 4454 entries in 3 languages (English, French and Spanish) classified under 19 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11298}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Component Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Electronics","Optoelectronics","Semiconductor electronics"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1108,"relation":"undefined"}],"grants":[{"id":6862,"fairsharing_record_id":1142,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.776Z","updated_at":"2021-09-30T09:28:16.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6863,"fairsharing_record_id":1142,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.801Z","updated_at":"2021-09-30T09:28:16.801Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1155","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:52:04.392Z","metadata":{"doi":"10.25504/FAIRsharing.kay31r","name":"Comparative Data Analysis Ontology","status":"ready","contacts":[{"contact_name":"Jim Balhoff","contact_email":"balhoff@gmail.com","contact_orcid":"0000-0002-8688-6599"}],"homepage":"https://github.com/evoinfo/cdao","citations":[{"doi":"10.4137/ebo.s2320","pubmed_id":19812726,"publication_id":2729}],"identifier":1155,"description":"Comparative Data Analysis Ontology (CDAO) is a formalization of concepts and relations relevant to evolutionary comparative analysis, such as phylogenetic trees, OTUs (operational taxonomic units) and compared characters (including molecular characters as well as other types).","abbreviation":"CDAO","support_links":[{"url":"https://github.com/evoinfo/cdao/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CDAO","name":"CDAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cdao.html","name":"cdao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002618","bsg-s002618"],"name":"FAIRsharing record for: Comparative Data Analysis Ontology","abbreviation":"CDAO","url":"https://fairsharing.org/10.25504/FAIRsharing.kay31r","doi":"10.25504/FAIRsharing.kay31r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Comparative Data Analysis Ontology (CDAO) is a formalization of concepts and relations relevant to evolutionary comparative analysis, such as phylogenetic trees, OTUs (operational taxonomic units) and compared characters (including molecular characters as well as other types).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12018}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular biology","Bioinformatics","Taxonomy","Phylogenetics","Evolutionary Biology","Life Science","Biomedical Science"],"domains":["Evolution"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2729,"pubmed_id":19812726,"title":"Initial implementation of a comparative data analysis ontology.","year":2009,"url":"http://doi.org/10.4137/ebo.s2320","authors":"Prosdocimi F,Chisham B,Pontelli E,Thompson JD,Stoltzfus A","journal":"Evol Bioinform Online","doi":"10.4137/ebo.s2320","created_at":"2021-09-30T08:27:35.187Z","updated_at":"2021-09-30T08:27:35.187Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1770,"relation":"undefined"}],"grants":[{"id":6891,"fairsharing_record_id":1155,"organisation_id":387,"relation":"maintains","created_at":"2021-09-30T09:28:17.741Z","updated_at":"2021-09-30T09:28:17.741Z","grant_id":null,"is_lead":true,"saved_state":{"id":387,"name":"CDAO Developers","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1156","type":"fairsharing_records","attributes":{"created_at":"2016-01-21T10:30:34.000Z","updated_at":"2022-07-20T10:26:09.666Z","metadata":{"doi":"10.25504/FAIRsharing.s19src","name":"Systems Biology Ontology","status":"ready","contacts":[{"contact_name":"BioModels Support","contact_email":"biomodels-net-support@lists.sf.net"}],"homepage":"http://www.ebi.ac.uk/sbo/","citations":[],"identifier":1156,"description":"The Systems Biology Ontology is a set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modelling. It consists of seven orthogonal vocabularies defining: reaction participants roles (e.g. \"substrate\"), quantitative parameters (e.g. \"Michaelis constant\"), classification of mathematical expressions describing the system (e.g. \"mass action rate law\"), modelling framework used (e.g. \"logical framework\"), the nature of the entity (e.g. \"macromolecule\"), the type of interaction (e.g. \"process\"), as well as a branch to define the different types of metadata that may be present within a model. Use of such terms introduces a layer of semantic information into the standard description of a model, facilitating its interpretation and efficient reuse.","abbreviation":"SBO","support_links":[{"url":"http://www.ebi.ac.uk/sbo/main/static?page=FAQ","name":"SBO FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://sourceforge.net/p/sbo/","name":"Sourceforge Project","type":"Help documentation"},{"url":"http://www.ebi.ac.uk/sbo/main/static?page=contribute","name":"Contribute to SBO","type":"Help documentation"},{"url":"https://twitter.com/biomodels","name":"@biomodels","type":"Twitter"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SBO","name":"SBO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/sbo.html","name":"sbo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000637","bsg-s000637"],"name":"FAIRsharing record for: Systems Biology Ontology","abbreviation":"SBO","url":"https://fairsharing.org/10.25504/FAIRsharing.s19src","doi":"10.25504/FAIRsharing.s19src","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systems Biology Ontology is a set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modelling. It consists of seven orthogonal vocabularies defining: reaction participants roles (e.g. \"substrate\"), quantitative parameters (e.g. \"Michaelis constant\"), classification of mathematical expressions describing the system (e.g. \"mass action rate law\"), modelling framework used (e.g. \"logical framework\"), the nature of the entity (e.g. \"macromolecule\"), the type of interaction (e.g. \"process\"), as well as a branch to define the different types of metadata that may be present within a model. Use of such terms introduces a layer of semantic information into the standard description of a model, facilitating its interpretation and efficient reuse.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11178},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12071},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12223},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16994}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Systems Biology"],"domains":["Mathematical model","Modeling and simulation","Molecular interaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":22,"pubmed_id":22027554,"title":"Controlled vocabularies and semantics in systems biology.","year":2011,"url":"http://doi.org/10.1038/msb.2011.77","authors":"Courtot M,Juty N,Knupfer C et al.","journal":"Mol Syst Biol","doi":"10.1038/msb.2011.77","created_at":"2021-09-30T08:22:22.740Z","updated_at":"2021-09-30T08:22:22.740Z"}],"licence_links":[{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":23,"relation":"undefined"}],"grants":[{"id":6893,"fairsharing_record_id":1156,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:28:17.835Z","updated_at":"2021-09-30T09:28:17.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6896,"fairsharing_record_id":1156,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:17.980Z","updated_at":"2021-09-30T09:28:17.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6892,"fairsharing_record_id":1156,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:17.784Z","updated_at":"2021-09-30T09:28:17.784Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6894,"fairsharing_record_id":1156,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:17.893Z","updated_at":"2021-09-30T09:28:17.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6895,"fairsharing_record_id":1156,"organisation_id":2498,"relation":"maintains","created_at":"2021-09-30T09:28:17.943Z","updated_at":"2021-09-30T09:28:17.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":2498,"name":"SBML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1157","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-03T10:48:35.352Z","metadata":{"doi":"10.25504/FAIRsharing.m0e1s0","name":"SoyOntology","status":"ready","contacts":[{"contact_name":"David Grant","contact_email":"david.grant@ars.usda.gov"}],"homepage":"https://soybase.org/ontology.php","citations":[],"identifier":1157,"description":"This is a community-curated controlled vocabulary for soybean field growth stages (Soybean Whole Plant Growth Ontology), plant structure names (Soybean Structure Ontology), development (Soybean Development Ontology) and plant traits (Soybean Trait Ontology). Where applicable, soybean specific terms have been associated with their Plant Ontology (PO) and Gramene Plant Trait Ontology (TO) synonyms to facilitate cross species comparisons. Currently, there are 4 divisions to SOY terms, soybean structural terms (Soybean Structure Ontology), developmental stages (Soybean Developmental Ontology), whole plant development terms (Soybean Whole Plant Growth Stages) and trait terms (Soybean Trait Ontology). For the trait, structure and development terms the old SoyTO and SoyGRO accessions have been added to their records as synonyms for continuity.","abbreviation":"SOY","support_links":[{"url":"https://bit.ly/SoyBase-Contact-Us","name":"Contact SoyBase","type":"Contact form"},{"url":"https://soybase.org/tutorials/","name":"SoyBase Tutorials","type":"Training documentation"},{"url":"https://twitter.com/SoyBaseDatabase","name":"@SoyBaseDatabase","type":"Twitter"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SOY","name":"SOY","portal":"BioPortal"}]},"legacy_ids":["bsg-002798","bsg-s002798"],"name":"FAIRsharing record for: SoyOntology","abbreviation":"SOY","url":"https://fairsharing.org/10.25504/FAIRsharing.m0e1s0","doi":"10.25504/FAIRsharing.m0e1s0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a community-curated controlled vocabulary for soybean field growth stages (Soybean Whole Plant Growth Ontology), plant structure names (Soybean Structure Ontology), development (Soybean Development Ontology) and plant traits (Soybean Trait Ontology). Where applicable, soybean specific terms have been associated with their Plant Ontology (PO) and Gramene Plant Trait Ontology (TO) synonyms to facilitate cross species comparisons. Currently, there are 4 divisions to SOY terms, soybean structural terms (Soybean Structure Ontology), developmental stages (Soybean Developmental Ontology), whole plant development terms (Soybean Whole Plant Growth Stages) and trait terms (Soybean Trait Ontology). For the trait, structure and development terms the old SoyTO and SoyGRO accessions have been added to their records as synonyms for continuity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Anatomy","Agriculture","Developmental Biology"],"domains":["Phenotype","Life cycle stage"],"taxonomies":["Glycine max","Glycine soja"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1336,"pubmed_id":20008513,"title":"SoyBase, the USDA-ARS soybean genetics and genomics database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp798","authors":"Grant D., Nelson RT., Cannon SB., Shoemaker RC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp798","created_at":"2021-09-30T08:24:49.518Z","updated_at":"2021-09-30T08:24:49.518Z"}],"licence_links":[{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1759,"relation":"undefined"}],"grants":[{"id":6899,"fairsharing_record_id":1157,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:28:18.061Z","updated_at":"2021-09-30T09:28:18.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6897,"fairsharing_record_id":1157,"organisation_id":2605,"relation":"maintains","created_at":"2021-09-30T09:28:18.012Z","updated_at":"2021-09-30T09:28:18.012Z","grant_id":null,"is_lead":true,"saved_state":{"id":2605,"name":"SOY Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6898,"fairsharing_record_id":1157,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:28:18.036Z","updated_at":"2021-09-30T09:28:18.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1169","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:53:04.079Z","metadata":{"doi":"10.25504/FAIRsharing.na5xp","name":"Statistics Ontology","status":"ready","contacts":[{"contact_name":"Philippe Rocca-Serra","contact_email":"philippe.rocca-serra@oerc.ox.ac.uk","contact_orcid":"0000-0001-9853-5668"}],"homepage":"http://stato-ontology.org/","citations":[],"identifier":1169,"description":"STATO is a general-purpose STATistics Ontology. Its aim is to provide coverage for processes such as statistical tests, their conditions of applications, and information needed or resulting from statistical methods, such as probability distributions, variable, spread and variation metrics. STATO also covers aspects of experimental design and description of plots and graphical representations commonly used to provide visual cues of data distribution or layout and to assist review of the results.","abbreviation":"STATO","support_links":[{"url":"https://github.com/ISA-tools/stato/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"stat-ontology@googlegroups.com","name":"STATO Google Group","type":"Mailing list"},{"url":"https://github.com/ISA-tools/stato","name":"GitHub Repository","type":"Github"},{"url":"http://frog.oerc.ox.ac.uk:8080/stato-app/queryCases.jsp","name":"STATO Query Cases","type":"Help documentation"},{"url":"http://frog.oerc.ox.ac.uk:8080/stato-app/useCases.jsp","name":"Users and Use Cases","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/STATO","name":"STATO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/stato.html","name":"stato","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000548","bsg-s000548"],"name":"FAIRsharing record for: Statistics Ontology","abbreviation":"STATO","url":"https://fairsharing.org/10.25504/FAIRsharing.na5xp","doi":"10.25504/FAIRsharing.na5xp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STATO is a general-purpose STATistics Ontology. Its aim is to provide coverage for processes such as statistical tests, their conditions of applications, and information needed or resulting from statistical methods, such as probability distributions, variable, spread and variation metrics. STATO also covers aspects of experimental design and description of plots and graphical representations commonly used to provide visual cues of data distribution or layout and to assist review of the results.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10883},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11285},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12045}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Statistics","Data Visualization"],"domains":["Experimental measurement","Graph","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1703,"relation":"undefined"}],"grants":[{"id":6916,"fairsharing_record_id":1169,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:18.796Z","updated_at":"2021-09-30T09:28:18.796Z","grant_id":null,"is_lead":true,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1170","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.041Z","metadata":{"doi":"10.25504/FAIRsharing.tbep2b","name":"Physical Medicine and Rehabilitation","status":"deprecated","contacts":[{"contact_name":"Laia Subirats","contact_email":"laia.subirats@gmail.com","contact_orcid":"0000-0001-8646-5463"}],"homepage":"https://bioportal.bioontology.org/ontologies/PMR","identifier":1170,"description":"Knowledge representation related to computer-based decision support in rehabilitation; concepts and relationships in the rehabilitation domain, integrating clinical practice, the ICD (specifically its 11th revision), the clinical investigator record ontology, the ICF and SNOMED CT.","abbreviation":"PhyMeRe","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PMR","name":"PMR","portal":"BioPortal"}],"deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002788","bsg-s002788"],"name":"FAIRsharing record for: Physical Medicine and Rehabilitation","abbreviation":"PhyMeRe","url":"https://fairsharing.org/10.25504/FAIRsharing.tbep2b","doi":"10.25504/FAIRsharing.tbep2b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Knowledge representation related to computer-based decision support in rehabilitation; concepts and relationships in the rehabilitation domain, integrating clinical practice, the ICD (specifically its 11th revision), the clinical investigator record ontology, the ICF and SNOMED CT.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1171","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-20T12:32:12.119Z","metadata":{"doi":"10.25504/FAIRsharing.g1qrqs","name":"Planarian Anatomy and Developmental Stage Ontology","status":"ready","contacts":[{"contact_name":"Sofia Robb","contact_email":"smr@stowers.org"}],"homepage":"https://planosphere.stowers.org/anatomyontology","identifier":1171,"description":"Anatomy ontology for planaria and terms specific to the developmental stages of the planarian Schmidtea mediterranea. As the regenerative flatworm Schmidtea mediterranea gains popularity as a developmental research organism the need for standard nomenclature and a centralized repository of anatomical terms has become increasingly apparent. Utilization of a controlled vocabulary creates opportunities to catalogue genes and expression data for computational searches across research groups and cross-species comparisons, all while establishing a framework for integration of new terms. We created a Planarian Anatomy Ontology containing 327 terms and definitions for cellular organelles, cell types, tissues, organ systems, anatomical entities, life cycle stages and developmental processes described in the literature. Where possible, extant terms and definitions from Uberon and other open source anatomy ontologies were imported into the ontology to strengthen cross-species queries.","abbreviation":"PLANA","support_links":[{"url":"planosphere@stowers.org","name":"Planosphere Helpdesk","type":"Support email"},{"url":"https://github.com/obophenotype/planaria-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PLANA","name":"PLANA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/plana.html","name":"plana","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000987","bsg-s000987"],"name":"FAIRsharing record for: Planarian Anatomy and Developmental Stage Ontology","abbreviation":"PLANA","url":"https://fairsharing.org/10.25504/FAIRsharing.g1qrqs","doi":"10.25504/FAIRsharing.g1qrqs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Anatomy ontology for planaria and terms specific to the developmental stages of the planarian Schmidtea mediterranea. As the regenerative flatworm Schmidtea mediterranea gains popularity as a developmental research organism the need for standard nomenclature and a centralized repository of anatomical terms has become increasingly apparent. Utilization of a controlled vocabulary creates opportunities to catalogue genes and expression data for computational searches across research groups and cross-species comparisons, all while establishing a framework for integration of new terms. We created a Planarian Anatomy Ontology containing 327 terms and definitions for cellular organelles, cell types, tissues, organ systems, anatomical entities, life cycle stages and developmental processes described in the literature. Where possible, extant terms and definitions from Uberon and other open source anatomy ontologies were imported into the ontology to strengthen cross-species queries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Organelle","Organ","Tissue"],"taxonomies":["Schmidtea mediterranea"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":63,"relation":"undefined"}],"grants":[{"id":6917,"fairsharing_record_id":1171,"organisation_id":2648,"relation":"maintains","created_at":"2021-09-30T09:28:18.820Z","updated_at":"2021-09-30T09:28:18.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2648,"name":"Stowers Institute for Medical Research, Kansas City, MO, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1172","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:48.450Z","metadata":{"doi":"10.25504/FAIRsharing.6cs4bf","name":"Analytical Information Markup Language","status":"in_development","contacts":[{"contact_name":"Gary Kramer","contact_email":"gary.kramer@nist.gov"}],"homepage":"http://animl.sourceforge.net/","identifier":1172,"description":"The Analytical Information Markup Language (AnIML) is the emerging ASTM XML standard for analytical chemistry data. It is currently in pre-release form.","abbreviation":"AnIML","support_links":[{"url":"https://www.animl.org/presentations","type":"Help documentation"},{"url":"https://twitter.com/AnIML","type":"Twitter"}],"year_creation":2003},"legacy_ids":["bsg-000545","bsg-s000545"],"name":"FAIRsharing record for: Analytical Information Markup Language","abbreviation":"AnIML","url":"https://fairsharing.org/10.25504/FAIRsharing.6cs4bf","doi":"10.25504/FAIRsharing.6cs4bf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Analytical Information Markup Language (AnIML) is the emerging ASTM XML standard for analytical chemistry data. It is currently in pre-release form.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11727}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Mass spectrum","Analysis","Nuclear Magnetic Resonance (NMR) spectroscopy","Raman spectroscopy","Infared spectroscopy","Ultraviolet-visible spectroscopy","Material processing"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Germany","Hungary","Switzerland","United States"],"publications":[{"id":630,"pubmed_id":null,"title":"Documenting laboratory workflows using the Analytical Information Markup Language","year":2004,"url":"http://doi.org/10.1016/j.jala.2004.10.003","authors":"Burkhard A. Schaefer, Dominik Poetz, and Gary W. Kramer","journal":"Journal of Laboratory Automation","doi":"10.1016/j.jala.2004.10.003","created_at":"2021-09-30T08:23:29.225Z","updated_at":"2021-09-30T08:23:29.225Z"},{"id":2146,"pubmed_id":null,"title":"Automated Generation of AnIML Documents by Analytical Instruments","year":2004,"url":"http://doi.org/10.1016/j.jala.2006.05.013","authors":"Alexander Roth, Ronny Jopp, Reinhold Schaefer, and Gary W. Kramer","journal":"Journal of Laboratory Automation","doi":"10.1016/j.jala.2006.05.013","created_at":"2021-09-30T08:26:21.866Z","updated_at":"2021-09-30T08:26:21.866Z"}],"licence_links":[],"grants":[{"id":6920,"fairsharing_record_id":1172,"organisation_id":328,"relation":"maintains","created_at":"2021-09-30T09:28:18.905Z","updated_at":"2021-09-30T09:28:18.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":328,"name":"BSSN Software","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6919,"fairsharing_record_id":1172,"organisation_id":126,"relation":"maintains","created_at":"2021-09-30T09:28:18.873Z","updated_at":"2021-09-30T09:28:18.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":126,"name":"ASTM E13.15 Standards Committee","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6921,"fairsharing_record_id":1172,"organisation_id":3222,"relation":"maintains","created_at":"2021-09-30T09:28:18.943Z","updated_at":"2021-09-30T09:28:18.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":3222,"name":"Waters Corporation","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6922,"fairsharing_record_id":1172,"organisation_id":2025,"relation":"maintains","created_at":"2021-09-30T09:28:18.985Z","updated_at":"2021-09-30T09:28:18.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":2025,"name":"National Institute of Standards and Technology (NIST), Gaithersburg MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9328,"fairsharing_record_id":1172,"organisation_id":403,"relation":"maintains","created_at":"2022-04-11T12:07:30.726Z","updated_at":"2022-04-11T12:07:30.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1174","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:54.571Z","metadata":{"doi":"10.25504/FAIRsharing.2hzttx","name":"Breast Cancer Grading Ontology","status":"uncertain","contacts":[{"contact_name":"Alexandra Bulzan","contact_email":"alex27bulzan@yahoo.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1304","identifier":1174,"description":"Breast Cancer Grading Ontology assigns a grade to a tumor starting from the 3 criteria of the NGS.","abbreviation":"BCGO","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BCGO","name":"BCGO","portal":"BioPortal"}]},"legacy_ids":["bsg-002596","bsg-s002596"],"name":"FAIRsharing record for: Breast Cancer Grading Ontology","abbreviation":"BCGO","url":"https://fairsharing.org/10.25504/FAIRsharing.2hzttx","doi":"10.25504/FAIRsharing.2hzttx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Breast Cancer Grading Ontology assigns a grade to a tumor starting from the 3 criteria of the NGS.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Cancer","Tumor","Tumor grading","Disease","Diagnosis","Mammary gland"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1175","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.161Z","metadata":{"doi":"10.25504/FAIRsharing.93ee19","name":"Anatomical Entity Ontology","status":"ready","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://www.obofoundry.org/ontology/aeo.html","identifier":1175,"description":"The AEO ontology of anatomical structures is a resource to facilitate the increase in knowledge in anatomy ontologies, supporting annotation and enabling compatibility with other anatomy ontologies. The ontology can be used to classify most organisms as its terms are appropriate for most plant and fungal tissues. It is envisaged that in future the ontology will include more non-animal anatomical terms.","abbreviation":"AEO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AEO","name":"AEO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/aeo.html","name":"aeo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000004","bsg-s000004"],"name":"FAIRsharing record for: Anatomical Entity Ontology","abbreviation":"AEO","url":"https://fairsharing.org/10.25504/FAIRsharing.93ee19","doi":"10.25504/FAIRsharing.93ee19","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AEO ontology of anatomical structures is a resource to facilitate the increase in knowledge in anatomy ontologies, supporting annotation and enabling compatibility with other anatomy ontologies. The ontology can be used to classify most organisms as its terms are appropriate for most plant and fungal tissues. It is envisaged that in future the ontology will include more non-animal anatomical terms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11939}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Fungi","Invertebrata","Plantae","Vertebrata"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":971,"pubmed_id":22347883,"title":"The AEO, an Ontology of Anatomical Entities for Classifying Animal Tissues and Organs.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00018","authors":"Bard JB","journal":"Front Genet","doi":"10.3389/fgene.2012.00018","created_at":"2021-09-30T08:24:07.430Z","updated_at":"2021-09-30T08:24:07.430Z"}],"licence_links":[],"grants":[{"id":6923,"fairsharing_record_id":1175,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:19.027Z","updated_at":"2021-09-30T09:28:19.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1177","type":"fairsharing_records","attributes":{"created_at":"2015-10-05T14:20:52.000Z","updated_at":"2022-07-20T12:43:27.143Z","metadata":{"doi":"10.25504/FAIRsharing.8frn6v","name":"Histoimmunogenetics Markup Language","status":"ready","contacts":[{"contact_name":"Martin Maiers","contact_email":"mmaiers@nmdp.org"}],"homepage":"https://bioinformatics.bethematchclinical.org/HLA-Resources/HML/","identifier":1177,"description":"Histoimmunogenetics Markup Language (HML) is intended as a potentially general-purpose XML format for exchanging genetic typing data. This format supports NGS based genotyping methods, raw sequence reads, registered methodologies, reference data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","abbreviation":"HML","support_links":[{"url":"bioinformatics-web@nmdp.org","type":"Support email"},{"url":"https://github.com/nmdp-bioinformatics/hml","type":"Github"}],"year_creation":1998},"legacy_ids":["bsg-000622","bsg-s000622"],"name":"FAIRsharing record for: Histoimmunogenetics Markup Language","abbreviation":"HML","url":"https://fairsharing.org/10.25504/FAIRsharing.8frn6v","doi":"10.25504/FAIRsharing.8frn6v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Histoimmunogenetics Markup Language (HML) is intended as a potentially general-purpose XML format for exchanging genetic typing data. This format supports NGS based genotyping methods, raw sequence reads, registered methodologies, reference data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunology","Life Science"],"domains":["Next generation DNA sequencing","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6924,"fairsharing_record_id":1177,"organisation_id":2810,"relation":"maintains","created_at":"2021-09-30T09:28:19.068Z","updated_at":"2021-09-30T09:28:19.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":2810,"name":"The National Marrow Donor Program (NMDP)","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1238","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:14.000Z","updated_at":"2024-03-21T13:58:13.351Z","metadata":{"doi":"10.25504/FAIRsharing.7rfpgs","name":"LINCS Extended Metadata Standard: Small molecules","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Small_Molecule_Metadata_2017.pdf","citations":[],"identifier":1238,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Small molecules are used as perturbagens in LINCS experiments. Small-molecule metadata also include substance-specific batch information, such as compound provider, salt form, molecular mass, purity, and aqueous solubility. For Food and Drug Administration–approved drugs, they proposed reporting additional information, such as drug indication and mechanism of action. If available, Protein Data Bank identifiers of corresponding target small-molecule co-crystal structures should also be reported.","abbreviation":"LINCS 2: Small molecules","support_links":[{"url":"https://lincsproject.org/LINCS/files/Small_Molecule_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000655","bsg-s000655"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Small molecules","abbreviation":"LINCS 2: Small molecules","url":"https://fairsharing.org/10.25504/FAIRsharing.7rfpgs","doi":"10.25504/FAIRsharing.7rfpgs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Small molecules are used as perturbagens in LINCS experiments. Small-molecule metadata also include substance-specific batch information, such as compound provider, salt form, molecular mass, purity, and aqueous solubility. For Food and Drug Administration–approved drugs, they proposed reporting additional information, such as drug indication and mechanism of action. If available, Protein Data Bank identifiers of corresponding target small-molecule co-crystal structures should also be reported.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11900},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12493}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Chemical Biology","Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Catalytic activity","Small molecule"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":7039,"fairsharing_record_id":1238,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:23.732Z","updated_at":"2021-09-30T09:28:23.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11544,"fairsharing_record_id":1238,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:13.159Z","updated_at":"2024-03-21T13:58:13.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1239","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:28:53.132Z","metadata":{"doi":"10.25504/FAIRsharing.zb33h5","name":"TAIR annotation data Format","status":"ready","contacts":[{"contact_name":"TAIR staff","contact_email":"curator@arabidopsis.org"}],"homepage":"http://www.arabidopsis.org/portals/genAnnotation/functional_annotation/go.jsp","citations":[],"identifier":1239,"description":"At TAIR, we display Gene Ontology and Plant Ontology annotations made by TAIR curators and those made by the community including individual researchers and contributors to the GO Consortium. The GO annotations in TAIR are made using a combination of manual and computational methods.","abbreviation":null,"support_links":[{"url":"curator@arabidopsis.org","type":"Support email"}],"year_creation":2003,"associated_tools":[{"url":"http://www.arabidopsis.org/tools/bulk/go/index.jsp","name":"GO Annotation Download Tool"}]},"legacy_ids":["bsg-000267","bsg-s000267"],"name":"FAIRsharing record for: TAIR annotation data Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zb33h5","doi":"10.25504/FAIRsharing.zb33h5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: At TAIR, we display Gene Ontology and Plant Ontology annotations made by TAIR curators and those made by the community including individual researchers and contributors to the GO Consortium. The GO annotations in TAIR are made using a combination of manual and computational methods.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1098,"pubmed_id":20521243,"title":"Using the Arabidopsis information resource (TAIR) to find information about Arabidopsis genes.","year":2010,"url":"http://doi.org/10.1002/0471250953.bi0111s30","authors":"Lamesch P., Dreher K., Swarbreck D., Sasidharan R., Reiser L., Huala E.,","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0111s30","created_at":"2021-09-30T08:24:21.567Z","updated_at":"2021-09-30T08:24:21.567Z"},{"id":1724,"pubmed_id":26201819,"title":"The Arabidopsis information resource: Making and mining the \"gold standard\" annotated reference plant genome.","year":2015,"url":"http://doi.org/10.1002/dvg.22877","authors":"Berardini TZ,Reiser L,Li D,Mezheritsky Y,Muller R,Strait E,Huala E","journal":"Genesis","doi":"10.1002/dvg.22877","created_at":"2021-09-30T08:25:33.170Z","updated_at":"2021-09-30T08:25:33.170Z"},{"id":1832,"pubmed_id":15173566,"title":"Functional annotation of the Arabidopsis genome using controlled vocabularies.","year":2004,"url":"http://doi.org/10.1104/pp.104.040071","authors":"Berardini TZ,Mundodi S,Reiser L,Huala E,Garcia-Hernandez M,Zhang P,Mueller LA,Yoon J,Doyle A,Lander G,Moseyko N,Yoo D,Xu I,Zoeckler B,Montoya M,Miller N,Weems D,Rhee SY","journal":"Plant Physiol","doi":"10.1104/pp.104.040071","created_at":"2021-09-30T08:25:45.755Z","updated_at":"2021-09-30T08:25:45.755Z"}],"licence_links":[{"licence_name":"TAIR Software License","licence_id":769,"licence_url":"http://www.arabidopsis.org/doc/about/tair_licensing/416","link_id":1359,"relation":"undefined"},{"licence_name":"TAIR Terms of Use","licence_id":770,"licence_url":"http://www.arabidopsis.org/doc/about/tair_terms_of_use/417","link_id":1358,"relation":"undefined"}],"grants":[{"id":7041,"fairsharing_record_id":1239,"organisation_id":2322,"relation":"maintains","created_at":"2021-09-30T09:28:23.797Z","updated_at":"2021-09-30T09:28:23.797Z","grant_id":null,"is_lead":false,"saved_state":{"id":2322,"name":"Phoenix Bioinformatics Corporation","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1240","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-03-23T15:22:35.391Z","metadata":{"doi":"10.25504/FAIRsharing.w4x6n4","name":"Ontology of Vaccine Adverse Events","status":"ready","contacts":[{"contact_name":"Yongqunh He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/OVAE-Ontology/ovae","citations":[],"identifier":1240,"description":"The Ontology of Vaccine Adverse Events (OVAE) is a biomedical ontology in the area of vaccine adverse events. While they are extremely useful in decreasing infection prevalence in human populations, vaccines may also induce some unintended adverse events. As vaccine usage increases, the risk of adverse events proportionally increases. To protect public health, it is necessary to represent, study, and analyze various vaccine adverse events (VAES). Two existing ontologies are closely related to the VAE studies. The Ontology of Adverse Events (OAE) is a community-based biomedical ontology in the area of adverse events. The Vaccine Ontology (VO) represents various vaccines, vaccine components, and vaccinations. Both OAE and VO are OBO Foundry candidate ontologies and are developed by following the OBO Foundry principles. To better represent various VAEs and support vaccine safety study, we developed the Ontology of Vaccine Adverse Events (OVAE) as an extension of the biomedical ontologies OAE and VO.","abbreviation":"OVAE","support_links":[{"url":"http://www.hegroup.org/contacts/index.php","name":"Contact the He Group","type":"Contact form"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OVAE","name":"OVAE","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ovae.html","name":"ovae","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000891","bsg-s000891"],"name":"FAIRsharing record for: Ontology of Vaccine Adverse Events","abbreviation":"OVAE","url":"https://fairsharing.org/10.25504/FAIRsharing.w4x6n4","doi":"10.25504/FAIRsharing.w4x6n4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Vaccine Adverse Events (OVAE) is a biomedical ontology in the area of vaccine adverse events. While they are extremely useful in decreasing infection prevalence in human populations, vaccines may also induce some unintended adverse events. As vaccine usage increases, the risk of adverse events proportionally increases. To protect public health, it is necessary to represent, study, and analyze various vaccine adverse events (VAES). Two existing ontologies are closely related to the VAE studies. The Ontology of Adverse Events (OAE) is a community-based biomedical ontology in the area of adverse events. The Vaccine Ontology (VO) represents various vaccines, vaccine components, and vaccinations. Both OAE and VO are OBO Foundry candidate ontologies and are developed by following the OBO Foundry principles. To better represent various VAEs and support vaccine safety study, we developed the Ontology of Vaccine Adverse Events (OVAE) as an extension of the biomedical ontologies OAE and VO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Adverse Reaction","Vaccine"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2199,"pubmed_id":24279920,"title":"The Ontology of Vaccine Adverse Events (OVAE) and its usage in representing and analyzing adverse events associated with US-licensed human vaccines.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-40","authors":"Marcos E,Zhao B,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-40","created_at":"2021-09-30T08:26:27.848Z","updated_at":"2021-09-30T08:26:27.848Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":705,"relation":"undefined"}],"grants":[{"id":7042,"fairsharing_record_id":1240,"organisation_id":2512,"relation":"maintains","created_at":"2021-09-30T09:28:23.839Z","updated_at":"2021-09-30T09:28:23.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":2512,"name":"School of Information, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7043,"fairsharing_record_id":1240,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:23.878Z","updated_at":"2021-09-30T09:28:23.878Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7044,"fairsharing_record_id":1240,"organisation_id":558,"relation":"maintains","created_at":"2021-09-30T09:28:23.918Z","updated_at":"2021-09-30T09:28:23.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":558,"name":"College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1241","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:09.874Z","metadata":{"doi":"10.25504/FAIRsharing.wwy1ns","name":"Physico-chemical methods and properties","status":"deprecated","contacts":[{"contact_name":"Janna Hastings","contact_email":"hastings@ebi.ac.uk"}],"homepage":"http://purl.bioontology.org/ontology/FIX","identifier":1241,"description":"FIX consists of two ontologies: methods and properties (but not objects, which are subject of the chemical ontology). The methods are applied to study the properties. While this ontology is available via BioPortal and the OBO Foundry, we cannot find a home page or a publication for the resource, and the resource itself is no longer maintained.","abbreviation":"FIX","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FIX","name":"FIX","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fix.html","name":"fix","portal":"OBO Foundry"}],"deprecation_date":"2017-11-22","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000041","bsg-s000041"],"name":"FAIRsharing record for: Physico-chemical methods and properties","abbreviation":"FIX","url":"https://fairsharing.org/10.25504/FAIRsharing.wwy1ns","doi":"10.25504/FAIRsharing.wwy1ns","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FIX consists of two ontologies: methods and properties (but not objects, which are subject of the chemical ontology). The methods are applied to study the properties. While this ontology is available via BioPortal and the OBO Foundry, we cannot find a home page or a publication for the resource, and the resource itself is no longer maintained.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry"],"domains":["Experimental measurement","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7045,"fairsharing_record_id":1241,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:23.952Z","updated_at":"2021-09-30T09:28:23.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1242","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2023-03-13T13:26:44.684Z","metadata":{"doi":"10.25504/FAIRsharing.5yn03x","name":"Dataset processing","status":"ready","contacts":[{"contact_name":"Bernard Gibaud","contact_email":"bernard.gibaud@univ-rennes1.fr"}],"homepage":"http://neurolog.unice.fr/ontoneurolog/v3.0/Documentation_OntoNeuroLOGv3.pdf","citations":[],"identifier":1242,"description":"This ontology is a module of the OntoNeuroLOG ontology, developed in the context of the NeuroLOG project, a french project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeous resources in neuroimaging. If covers the domain of Datasets and the processing of datasets. It includes a detailed taxonomy of datasets in the area of neuroimaging (and especially MR imaging) as well as a taxonomy of medical image processing.","abbreviation":"ONL-DP","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONL-DP","name":"ONL-DP","portal":"BioPortal"}]},"legacy_ids":["bsg-001001","bsg-s001001"],"name":"FAIRsharing record for: Dataset processing","abbreviation":"ONL-DP","url":"https://fairsharing.org/10.25504/FAIRsharing.5yn03x","doi":"10.25504/FAIRsharing.5yn03x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is a module of the OntoNeuroLOG ontology, developed in the context of the NeuroLOG project, a french project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeous resources in neuroimaging. If covers the domain of Datasets and the processing of datasets. It includes a detailed taxonomy of datasets in the area of neuroimaging (and especially MR imaging) as well as a taxonomy of medical image processing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurology"],"domains":["Bioimaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1229","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-10T20:26:51.060Z","metadata":{"doi":"10.25504/FAIRsharing.4ndncv","name":"PRotein Ontology","status":"ready","contacts":[{"contact_name":"Darren Natale","contact_email":"dan5@georgetown.edu","contact_orcid":"0000-0001-5809-9523"}],"homepage":"https://proconsortium.org/","citations":[{"doi":"10.1093/nar/gkw1075","pubmed_id":27899649,"publication_id":2015}],"identifier":1229,"description":"Protein Ontology (PRO) provides an ontological representation of protein-related entities by explicitly defining them and showing the relationships between them. Each PRO term represents a distinct class of entities (including specific modified forms, orthologous isoforms, and protein complexes) ranging from the taxon-neutral to the taxon-specific. The ontology has a meta-structure encompassing three areas: proteins based on evolutionary relatedness (ProEvo); protein forms produced from a given gene locus (ProForm); and protein-containing complexes (ProComp).","abbreviation":"PRO","support_links":[{"url":"http://purl.obolibrary.org/obo/pr/tracker","name":"Term Request/Issue Tracker","type":"Forum"},{"url":"http://purl.obolibrary.org/obo/pr/docs","name":"Protein Ontology Documentation","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PR","name":"PR","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pr.html","name":"pr","portal":"OBO Foundry"},{"url":"http://agroportal.lirmm.fr/ontologies/PR","name":"PR","portal":"AgroPortal"}]},"legacy_ids":["bsg-000139","bsg-s000139"],"name":"FAIRsharing record for: PRotein Ontology","abbreviation":"PRO","url":"https://fairsharing.org/10.25504/FAIRsharing.4ndncv","doi":"10.25504/FAIRsharing.4ndncv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Protein Ontology (PRO) provides an ontological representation of protein-related entities by explicitly defining them and showing the relationships between them. Each PRO term represents a distinct class of entities (including specific modified forms, orthologous isoforms, and protein complexes) ranging from the taxon-neutral to the taxon-specific. The ontology has a meta-structure encompassing three areas: proteins based on evolutionary relatedness (ProEvo); protein forms produced from a given gene locus (ProForm); and protein-containing complexes (ProComp).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18259},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10887},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12084},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12227}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Annotation","PTM site prediction","Protein acetylation","Phosphorylation","Methylation","Protein-containing complex","Glycosylation","Data model","Protein","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1118,"pubmed_id":24270789,"title":"Protein Ontology: a controlled structured network of protein entities.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1173","authors":"Natale DA,Arighi CN,Blake JA,Bult CJ,Christie KR,Cowart J,D'Eustachio P,Diehl AD,Drabkin HJ,Helfer O,Huang H,Masci AM,Ren J,Roberts NV,Ross K,Ruttenberg A,Shamovsky V,Smith B,Yerramalla MS,Zhang J,AlJanahi A,Celen I,Gan C,Lv M,Schuster-Lezell E,Wu CH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1173","created_at":"2021-09-30T08:24:23.863Z","updated_at":"2021-09-30T11:28:59.261Z"},{"id":1133,"pubmed_id":20935045,"title":"The Protein Ontology: a structured representation of protein forms and complexes.","year":2010,"url":"http://doi.org/10.1093/nar/gkq907","authors":"Natale DA,Arighi CN,Barker WC,Blake JA,Bult CJ,Caudy M,Drabkin HJ,D'Eustachio P,Evsikov AV,Huang H,Nchoutmboube J,Roberts NV,Smith B,Zhang J,Wu CH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq907","created_at":"2021-09-30T08:24:25.715Z","updated_at":"2021-09-30T11:29:00.026Z"},{"id":1186,"pubmed_id":18047702,"title":"Framework for a protein ontology.","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-S9-S1","authors":"Natale DA,Arighi CN,Barker WC,Blake J,Chang TC,Hu Z,Liu H,Smith B,Wu CH","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-S9-S1","created_at":"2021-09-30T08:24:31.883Z","updated_at":"2021-09-30T08:24:31.883Z"},{"id":1207,"pubmed_id":21929785,"title":"The representation of protein complexes in the Protein Ontology (PRO).","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-371","authors":"Bult CJ,Drabkin HJ,Evsikov A,Natale D,Arighi C,Roberts N,Ruttenberg A,D'Eustachio P,Smith B,Blake JA,Wu C","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-371","created_at":"2021-09-30T08:24:34.533Z","updated_at":"2021-09-30T08:24:34.533Z"},{"id":2015,"pubmed_id":27899649,"title":"Protein Ontology (PRO): enhancing and scaling up the representation of protein entities.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1075","authors":"Natale DA,Arighi CN,Blake JA,Bona J,Chen C,Chen SC,Christie KR,Cowart J,D'Eustachio P,Diehl AD,Drabkin HJ,Duncan WD,Huang H,Ren J,Ross K,Ruttenberg A,Shamovsky V,Smith B,Wang Q,Zhang J,El-Sayed A,Wu CH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1075","created_at":"2021-09-30T08:26:07.011Z","updated_at":"2021-09-30T11:29:25.744Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1746,"relation":"undefined"}],"grants":[{"id":7027,"fairsharing_record_id":1229,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:28:23.322Z","updated_at":"2021-09-30T09:30:57.725Z","grant_id":954,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1TR001412","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7028,"fairsharing_record_id":1229,"organisation_id":2361,"relation":"maintains","created_at":"2021-09-30T09:28:23.364Z","updated_at":"2021-09-30T09:28:23.364Z","grant_id":null,"is_lead":true,"saved_state":{"id":2361,"name":"PRO Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7030,"fairsharing_record_id":1229,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:23.440Z","updated_at":"2021-09-30T09:29:44.802Z","grant_id":383,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062520","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7029,"fairsharing_record_id":1229,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:23.401Z","updated_at":"2021-09-30T09:31:28.160Z","grant_id":1182,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201200028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7031,"fairsharing_record_id":1229,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:23.466Z","updated_at":"2021-09-30T09:29:29.391Z","grant_id":268,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01GM080646","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWTA9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7796769110d5d35906d68221bdd275782255a676/PROlogofinal300.png?disposition=inline","exhaustive_licences":false}},{"id":"1230","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:19.327Z","metadata":{"doi":"10.25504/FAIRsharing.3e0sn4","name":"Gene Expression Ontology","status":"ready","contacts":[{"contact_name":"Martin Kuiper","contact_email":"kuiper@bio.ntnu.no","contact_orcid":"0000-0002-1171-9876"}],"homepage":"https://www.biogateway.eu/tools/#GeXKB","identifier":1230,"description":"An application ontology for the domain of gene expression. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","abbreviation":"GeXO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GEXO","name":"GEXO","portal":"BioPortal"}]},"legacy_ids":["bsg-002833","bsg-s002833"],"name":"FAIRsharing record for: Gene Expression Ontology","abbreviation":"GeXO","url":"https://fairsharing.org/10.25504/FAIRsharing.3e0sn4","doi":"10.25504/FAIRsharing.3e0sn4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of gene expression. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12489}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Gene expression"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":972,"pubmed_id":25490885,"title":"Finding gene regulatory network candidates using the gene expression knowledge base.","year":2014,"url":"http://doi.org/10.1186/s12859-014-0386-y","authors":"Venkatesan A,Tripathi S,Sanz de Galdeano A,Blonde W,Laegreid A,Mironov V,Kuiper M","journal":"BMC Bioinformatics","doi":"10.1186/s12859-014-0386-y","created_at":"2021-09-30T08:24:07.541Z","updated_at":"2021-09-30T08:24:07.541Z"}],"licence_links":[],"grants":[{"id":7032,"fairsharing_record_id":1230,"organisation_id":2185,"relation":"funds","created_at":"2021-09-30T09:28:23.495Z","updated_at":"2021-09-30T09:28:23.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2185,"name":"Norwegian Cancer Society","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1243","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-02T16:12:00.689Z","metadata":{"doi":"10.25504/FAIRsharing.dp0jvd","name":"Biological Expression Language","status":"ready","contacts":[{"contact_name":"William Hayes (BEL.bio)","contact_email":"support@bel.bio","contact_orcid":"0000-0003-0728-781X"},{"contact_name":" Charles Tapley Hoyt (PyBEL)","contact_email":"cthoyt@gmail.com","contact_orcid":"0000-0003-4423-4370"}],"homepage":"https://bel.bio","citations":[],"identifier":1243,"description":"BEL is a language for representing scientific findings in the life sciences in a reusable, shareable, and computable form. BEL is designed to represent scientific findings by capturing causal and correlative relationships in context, where context can include information about the biological and experimental system in which the relationships were observed, the supporting publications cited and the process of curation. BEL is intended as a knowledge capture and interchange medium, supporting the operation of systems that integrate knowledge derived from independent efforts. The language is designed to be use-neutral, facilitating the storage and use of structured knowledge for inference by applications through a knowledge assembly process that can create computable biological networks. While BEL does not prescribe any particular assembly process or any particular knowledge format for the output of an assembly process, a suite of software components called the BEL Framework provides everything necessary to create, compile, assemble, and deliver computable knowledge models to BEL-aware applications. The current version of BEL provides the means to describe biological interactions qualitatively but not to quantify the magnitude or rate of these interactions. This limitation is by design because this quantitative information has significant variability and is not consistently reported in the literature. It is our hope that future versions of BEL can accommodate these additional data.","abbreviation":"BEL","support_links":[{"url":"support@bel.bio","name":"BEL.bio Support mailbox","type":"Support email"},{"url":"https://language.bel.bio/","name":"BEL Specifications Documentation","type":"Help documentation"},{"url":"https://github.com/belbio","name":"BEL.bio on GitHub","type":"Github"},{"url":"https://bel.bio/resources/","name":"Resource Links","type":"Help documentation"},{"url":"https://bel.bio/faq/","name":"BEL FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bel-api.readthedocs.io/en/latest/glossary.html","name":"BEL Glossary","type":"Help documentation"},{"url":"https://biological-expression-language.github.io/","name":"PyBEL Biological Expression Language ","type":"Other"}],"year_creation":2003,"associated_tools":[{"url":"https://github.com/pybel/pybel","name":"PyBEL Python Library Package"},{"url":"https://github.com/bio2bel/bio2bel","name":"Bio2BEL"},{"url":"https://indra.readthedocs.io/en/latest/modules/sources/bel/index.html","name":"INDRA"},{"url":"https://marketplace.visualstudio.com/items?itemName=belbio.belnanopub","name":"BEL Nanopubs Editor Visual Studio"}],"cross_references":[{"url":"https://bioregistry.io/registry/bel","name":"bel","portal":"Other"},{"url":"https://bio.tools/PyBEL","name":"biotools:pybel","portal":"Other"}]},"legacy_ids":["bsg-000572","bsg-s000572"],"name":"FAIRsharing record for: Biological Expression Language","abbreviation":"BEL","url":"https://fairsharing.org/10.25504/FAIRsharing.dp0jvd","doi":"10.25504/FAIRsharing.dp0jvd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BEL is a language for representing scientific findings in the life sciences in a reusable, shareable, and computable form. BEL is designed to represent scientific findings by capturing causal and correlative relationships in context, where context can include information about the biological and experimental system in which the relationships were observed, the supporting publications cited and the process of curation. BEL is intended as a knowledge capture and interchange medium, supporting the operation of systems that integrate knowledge derived from independent efforts. The language is designed to be use-neutral, facilitating the storage and use of structured knowledge for inference by applications through a knowledge assembly process that can create computable biological networks. While BEL does not prescribe any particular assembly process or any particular knowledge format for the output of an assembly process, a suite of software components called the BEL Framework provides everything necessary to create, compile, assemble, and deliver computable knowledge models to BEL-aware applications. The current version of BEL provides the means to describe biological interactions qualitatively but not to quantify the magnitude or rate of these interactions. This limitation is by design because this quantitative information has significant variability and is not consistently reported in the literature. It is our hope that future versions of BEL can accommodate these additional data.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11033},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16943}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Biology"],"domains":["Data model","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3743,"pubmed_id":29048466,"title":"PyBEL: a computational framework for Biological Expression Language","year":2017,"url":"http://dx.doi.org/10.1093/bioinformatics/btx660","authors":"Hoyt, Charles Tapley; Konotopez, Andrej; Ebeling, Christian; ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btx660","created_at":"2022-12-20T19:20:20.757Z","updated_at":"2022-12-20T19:56:34.844Z"},{"id":3744,"pubmed_id":null,"title":"Recent advances in modeling languages for pathway maps and computable biological networks","year":2014,"url":"http://dx.doi.org/10.1016/j.drudis.2013.12.011","authors":"Slater, Ted; ","journal":"Drug Discovery Today","doi":"10.1016/j.drudis.2013.12.011","created_at":"2022-12-20T19:20:28.746Z","updated_at":"2022-12-20T19:20:28.746Z"},{"id":3745,"pubmed_id":null,"title":"PyBEL (v0.15.5)","year":2022,"url":"https://doi.org/10.5281/zenodo.596920","authors":"Charles Tapley Hoyt, Andrej Konotopez, Scott Colby, Daniel Domingo-Fernández, ChristianEbeling, Benjamin M. Gyori, Aman Choudhri, Jeremy Zucker, Nicola Soranzo, Steffen Möller, \u0026 tehw0lf","journal":"Zenodo","doi":"","created_at":"2022-12-20T19:46:31.875Z","updated_at":"2022-12-20T19:46:31.875Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":787,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":785,"relation":"undefined"}],"grants":[{"id":7046,"fairsharing_record_id":1243,"organisation_id":1296,"relation":"funds","created_at":"2021-09-30T09:28:23.988Z","updated_at":"2021-09-30T09:28:23.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":1296,"name":"I2b2 Transmart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7047,"fairsharing_record_id":1243,"organisation_id":226,"relation":"funds","created_at":"2021-09-30T09:28:24.030Z","updated_at":"2021-09-30T09:28:24.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":226,"name":"BioDati, Inc","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7048,"fairsharing_record_id":1243,"organisation_id":196,"relation":"maintains","created_at":"2021-09-30T09:28:24.069Z","updated_at":"2021-09-30T09:28:24.069Z","grant_id":null,"is_lead":true,"saved_state":{"id":196,"name":"BEL.bio","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":7049,"fairsharing_record_id":1243,"organisation_id":2319,"relation":"funds","created_at":"2021-09-30T09:28:24.106Z","updated_at":"2021-09-30T09:28:24.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2319,"name":"Philip morris international inc","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1244","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:46.185Z","metadata":{"doi":"10.25504/FAIRsharing.dmhjcg","name":"Quality Control Markup Language","status":"in_development","contacts":[{"contact_name":"Lennart Martens","contact_email":"lennart.martens@vib-ugent.be","contact_orcid":"0000-0003-4277-658X"}],"homepage":"http://www.psidev.info/groups/quality-control","identifier":1244,"description":"An XML format for quality-related data of mass spectrometry and other high-throughput experiments. Quality control is increasingly recognized as a crucial aspect of mass spectrometry based proteomics. Several recent papers discuss relevant parameters for quality control and present applications to extract these from the instrumental raw data. What has been missing, however, is a standard data exchange format for reporting these performance metrics. We therefore developed the qcML format, an XML-based standard that follows the design principles of the related mzML, mzIdentML, mzQuantML, and TraML standards from the HUPO-PSI (Proteomics Standards Initiative). In addition to the XML format, we also provide tools for the calculation of a wide range of quality metrics as well as a database format and interconversion tools, so that existing LIMS systems can easily add relational storage of the quality control data to their existing schema. We here describe the qcML specification, along with possible use cases and an illustrative example of the subsequent analysis possibilities.","abbreviation":"QCML","support_links":[{"url":"https://github.com/HUPO-PSI/qcML-development","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-000570","bsg-s000570"],"name":"FAIRsharing record for: Quality Control Markup Language","abbreviation":"QCML","url":"https://fairsharing.org/10.25504/FAIRsharing.dmhjcg","doi":"10.25504/FAIRsharing.dmhjcg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An XML format for quality-related data of mass spectrometry and other high-throughput experiments. Quality control is increasingly recognized as a crucial aspect of mass spectrometry based proteomics. Several recent papers discuss relevant parameters for quality control and present applications to extract these from the instrumental raw data. What has been missing, however, is a standard data exchange format for reporting these performance metrics. We therefore developed the qcML format, an XML-based standard that follows the design principles of the related mzML, mzIdentML, mzQuantML, and TraML standards from the HUPO-PSI (Proteomics Standards Initiative). In addition to the XML format, we also provide tools for the calculation of a wide range of quality metrics as well as a database format and interconversion tools, so that existing LIMS systems can easily add relational storage of the quality control data to their existing schema. We here describe the qcML specification, along with possible use cases and an illustrative example of the subsequent analysis possibilities.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11440},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12047}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science","Metabolomics"],"domains":["Quality control","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":2292,"pubmed_id":24760958,"title":"qcML: an exchange format for quality control metrics from mass spectrometry experiments.","year":2014,"url":"http://doi.org/10.1074/mcp.M113.035907","authors":"Walzer M, Pernas LE, Nasso S, Bittremieux W, Nahnsen S, Kelchtermans P, Pichler P, van den Toorn HW, Staes A, Vandenbussche J, Mazanek M, Taus T, Scheltema RA, Kelstrup CD, Gatto L, van Breukelen B, Aiche S, Valkenborg D, Laukens K, Lilley KS, Olsen JV, Heck AJ, Mechtler K, Aebersold R, Gevaert K, Vizcaíno JA, Hermjakob H, Kohlbacher O, Martens L.","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.M113.035907","created_at":"2021-09-30T08:26:39.565Z","updated_at":"2021-09-30T08:26:39.565Z"}],"licence_links":[],"grants":[{"id":7051,"fairsharing_record_id":1244,"organisation_id":2500,"relation":"funds","created_at":"2021-09-30T09:28:24.198Z","updated_at":"2021-09-30T09:31:22.934Z","grant_id":1144,"is_lead":false,"saved_state":{"id":2500,"name":"SBO","grant":"120025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7053,"fairsharing_record_id":1244,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:28:24.281Z","updated_at":"2021-09-30T09:31:45.084Z","grant_id":1310,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"WT085949MA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8306,"fairsharing_record_id":1244,"organisation_id":2991,"relation":"funds","created_at":"2021-09-30T09:32:00.665Z","updated_at":"2021-09-30T09:32:00.699Z","grant_id":1427,"is_lead":false,"saved_state":{"id":2991,"name":"Universiteit Utrecht, Netherlands","grant":"260558","types":["University"],"is_lead":false,"relation":"funds"}},{"id":7050,"fairsharing_record_id":1244,"organisation_id":1291,"relation":"maintains","created_at":"2021-09-30T09:28:24.156Z","updated_at":"2021-09-30T09:28:24.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":1291,"name":"HUPO-PSI initiative; Quality Control working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7052,"fairsharing_record_id":1244,"organisation_id":2991,"relation":"funds","created_at":"2021-09-30T09:28:24.238Z","updated_at":"2021-09-30T09:29:45.335Z","grant_id":387,"is_lead":false,"saved_state":{"id":2991,"name":"Universiteit Utrecht, Netherlands","grant":"262067","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1232","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T14:16:03.000Z","updated_at":"2023-10-03T09:54:08.220Z","metadata":{"doi":"10.25504/FAIRsharing.IjUe3j","name":"Minimum Information about Peptide Array Experiment","status":"ready","contacts":[{"contact_name":"Dr. Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"https://doi.org/10.14806/ej.18.1.250","citations":[],"identifier":1232,"description":"Peptide-array screening is currently a well-established high-throughput technique with a growing numbers of application. Peptide-array technology is used for protein recognition, quantification of peptide expression levels, and detection of protein-protein interactions. The use of protein/pep- tide arrays in medical life science studies is becoming increasingly widespread. Their increased use in diagnostic applications and protein function profiling calls for a standardised set of guide- lines to be followed by future experimenters to enable reproducible, high-quality data and ac- curate findings. We aim to provide preliminary guidelines describing the Minimum Information About a Peptide- Array Experiment (MIAPepAE). We propose a checklist of data and meta-data that should accom- pany a peptide-array experiment, and invite fellow researchers in the field to collaborate in this effort to create a sustainable and coherent set of guidelines for the benefit of the protein/peptide- array research community. Although this article focuses on spotting peptide arrays, MIAPepAE is intended to be a work-in-progress to be adopted for other peptide-array types, such as in situ synthesised peptide arrays.","abbreviation":"MIAPepAE","support_links":[{"url":"http://www.ktp.cpgr.org.za","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000629","bsg-s000629"],"name":"FAIRsharing record for: Minimum Information about Peptide Array Experiment","abbreviation":"MIAPepAE","url":"https://fairsharing.org/10.25504/FAIRsharing.IjUe3j","doi":"10.25504/FAIRsharing.IjUe3j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Peptide-array screening is currently a well-established high-throughput technique with a growing numbers of application. Peptide-array technology is used for protein recognition, quantification of peptide expression levels, and detection of protein-protein interactions. The use of protein/pep- tide arrays in medical life science studies is becoming increasingly widespread. Their increased use in diagnostic applications and protein function profiling calls for a standardised set of guide- lines to be followed by future experimenters to enable reproducible, high-quality data and ac- curate findings. We aim to provide preliminary guidelines describing the Minimum Information About a Peptide- Array Experiment (MIAPepAE). We propose a checklist of data and meta-data that should accom- pany a peptide-array experiment, and invite fellow researchers in the field to collaborate in this effort to create a sustainable and coherent set of guidelines for the benefit of the protein/peptide- array research community. Although this article focuses on spotting peptide arrays, MIAPepAE is intended to be a work-in-progress to be adopted for other peptide-array types, such as in situ synthesised peptide arrays.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17619},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17620},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12077}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Peptide","Accuracy","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":871,"pubmed_id":null,"title":"Minimum Information About a Peptide Array Experiment (MIAPepAE)","year":2012,"url":"http://doi.org/10.14806/ej.18.1.250","authors":"Judit Kumuthini, Gordon Botha","journal":"EMBNET Journal","doi":"10.14806/ej.18.1.250","created_at":"2021-09-30T08:23:56.213Z","updated_at":"2021-09-30T08:23:56.213Z"}],"licence_links":[],"grants":[{"id":10968,"fairsharing_record_id":1232,"organisation_id":468,"relation":"maintains","created_at":"2023-10-03T09:17:55.038Z","updated_at":"2023-10-03T09:17:55.038Z","grant_id":null,"is_lead":true,"saved_state":{"id":468,"name":"Centre for Proteomic and Genomic Research","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1233","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.872Z","metadata":{"doi":"10.25504/FAIRsharing.rrms81","name":"Terminology of Anatomy of Human Embryology","status":"deprecated","contacts":[{"contact_name":"Pierre Sprumont","contact_email":"pierre.sprumont@unifr.ch"}],"homepage":"http://bioportal.bioontology.org/ontologies/1536","identifier":1233,"description":"\"Terminology of Anatomy of Human Embryology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1536. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Embryology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"TAHE","deprecation_date":"2016-05-26","deprecation_reason":"This standard is marked as deprecated on the OBO Foundry page - http://obofoundry.org/ontology/tahe.html. No information is given as to an alternative resource."},"legacy_ids":["bsg-002690","bsg-s002690"],"name":"FAIRsharing record for: Terminology of Anatomy of Human Embryology","abbreviation":"TAHE","url":"https://fairsharing.org/10.25504/FAIRsharing.rrms81","doi":"10.25504/FAIRsharing.rrms81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Terminology of Anatomy of Human Embryology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1536. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Embryology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Embryology","Life Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[],"grants":[{"id":7034,"fairsharing_record_id":1233,"organisation_id":3057,"relation":"undefined","created_at":"2021-09-30T09:28:23.577Z","updated_at":"2021-09-30T09:28:23.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":3057,"name":"University of Fribourg, Switzerland","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1234","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T11:38:43.000Z","updated_at":"2022-07-20T11:27:40.509Z","metadata":{"name":"Plant Phenotype Experiment Ontology","status":"in_development","contacts":[{"contact_name":"Cyril Pommier","contact_email":"cyril.pommier@inra.fr"}],"homepage":"http://purl.org/ppeo","citations":[],"identifier":1234,"description":"The Plant Phenotyping Experiment Ontology (PPEO) is an implementation of the Minimal Information About Plant Phenotyping Experiment (MIAPPE) Guidelines. It lists and organises all the information necessary to describe and reuse a phenotyping dataset following FAIR principles.","abbreviation":"PPEO","support_links":[{"url":"https://github.com/MIAPPE/MIAPPE-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2018,"cross_references":[{"url":"http://agroportal.lirmm.fr/ontologies/PPEO","name":"AgroPortal Record","portal":"AgroPortal"}]},"legacy_ids":["bsg-001443","bsg-s001443"],"name":"FAIRsharing record for: Plant Phenotype Experiment Ontology","abbreviation":"PPEO","url":"https://fairsharing.org/fairsharing_records/1234","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Phenotyping Experiment Ontology (PPEO) is an implementation of the Minimal Information About Plant Phenotyping Experiment (MIAPPE) Guidelines. It lists and organises all the information necessary to describe and reuse a phenotyping dataset following FAIR principles.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13550}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Plant Breeding"],"domains":["Phenotype"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1744,"relation":"undefined"}],"grants":[{"id":7035,"fairsharing_record_id":1234,"organisation_id":3181,"relation":"maintains","created_at":"2021-09-30T09:28:23.614Z","updated_at":"2021-09-30T09:28:23.614Z","grant_id":null,"is_lead":true,"saved_state":{"id":3181,"name":"Versailles-Grignon Research Centre, INRA, France","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8675,"fairsharing_record_id":1234,"organisation_id":3341,"relation":"associated_with","created_at":"2022-01-06T10:03:08.688Z","updated_at":"2022-01-06T10:03:08.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":3341,"name":"EMPHASIS","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1236","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T10:45:51.000Z","updated_at":"2021-11-24T13:20:12.815Z","metadata":{"doi":"10.25504/FAIRsharing.WWI10U","name":"The FAIR Principles","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es"}],"homepage":"https://www.go-fair.org/fair-principles/","identifier":1236,"description":"One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows. The term \"FAIR\" was launched at a Lorentz workshop in 2014, attended by a wide range of academic, corporate, and governmental stakeholders. The resulting draft FAIR Principles were initially made available for public comment via the websites of peer-initiatives such as, for example, Force11. Based on this feedback, the final Principles were published in 2016 (https://www.nature.com/articles/sdata201618). FAIR is a set of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable. These guidelines provide advice for those wishing to enhance the (re)usability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.","abbreviation":"FAIR","year_creation":2016},"legacy_ids":["bsg-001147","bsg-s001147"],"name":"FAIRsharing record for: The FAIR Principles","abbreviation":"FAIR","url":"https://fairsharing.org/10.25504/FAIRsharing.WWI10U","doi":"10.25504/FAIRsharing.WWI10U","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows. The term \"FAIR\" was launched at a Lorentz workshop in 2014, attended by a wide range of academic, corporate, and governmental stakeholders. The resulting draft FAIR Principles were initially made available for public comment via the websites of peer-initiatives such as, for example, Force11. Based on this feedback, the final Principles were published in 2016 (https://www.nature.com/articles/sdata201618). FAIR is a set of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable. These guidelines provide advice for those wishing to enhance the (re)usability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11315},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11885},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12235},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13897},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14567},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16100},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16883},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20180}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Subject Agnostic"],"domains":["FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Belgium","Brazil","China","Germany","Netherlands","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":1234,"pubmed_id":26978244,"title":"The FAIR Guiding Principles for scientific data management and stewardship.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.18","authors":"Wilkinson MD,Dumontier M,Aalbersberg IJ,Appleton G,Axton M,Baak A,Blomberg N,Boiten JW,da Silva Santos LB,Bourne PE,Bouwman J,Brookes AJ,Clark T,Crosas M,Dillo I,Dumon O,Edmunds S,Evelo CT,Finkers R,Gonzalez-Beltran A,Gray AJ,Groth P,Goble C,Grethe JS,Heringa J,'t Hoen PA,Hooft R,Kuhn T,Kok R,Kok J,Lusher SJ,Martone ME,Mons A,Packer AL,Persson B,Rocca-Serra P,Roos M,van Schaik R,Sansone SA,Schultes E,Sengstag T,Slater T,Strawn G,Swertz MA,Thompson M,van der Lei J,van Mulligen E,Velterop J,Waagmeester A,Wittenburg P,Wolstencroft K,Zhao J,Mons B","journal":"Sci Data","doi":"10.1038/sdata.2016.18","created_at":"2021-09-30T08:24:37.674Z","updated_at":"2021-09-30T08:24:37.674Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1237","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:01.162Z","metadata":{"doi":"10.25504/FAIRsharing.xhwrnr","name":"Cell Cycle Ontology","status":"ready","contacts":[{"contact_name":"Martin Kuiper","contact_email":"kuiper@bio.ntnu.no","contact_orcid":"0000-0002-1171-9876"}],"homepage":"https://www.biogateway.eu/tools/#CCO","identifier":1237,"description":"CCO contains genes, proteins, interactions (comprising genes or proteins that participate in them), processes from the cell cycle subtree of GO, molecular functions (GO), taxa, and ontological constructs (like an upper level ontology and relationships) to stick everything together.","abbreviation":"CCO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CCO","name":"CCO","portal":"BioPortal"}]},"legacy_ids":["bsg-002671","bsg-s002671"],"name":"FAIRsharing record for: Cell Cycle Ontology","abbreviation":"CCO","url":"https://fairsharing.org/10.25504/FAIRsharing.xhwrnr","doi":"10.25504/FAIRsharing.xhwrnr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CCO contains genes, proteins, interactions (comprising genes or proteins that participate in them), processes from the cell cycle subtree of GO, molecular functions (GO), taxa, and ontological constructs (like an upper level ontology and relationships) to stick everything together.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10878},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12456}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Genomics","Proteomics","Life Science"],"domains":["Cell","Molecular function","Cell cycle"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":899,"pubmed_id":19480664,"title":"The Cell Cycle Ontology: an application ontology for the representation and integrated analysis of the cell cycle process.","year":2009,"url":"http://doi.org/10.1186/gb-2009-10-5-r58","authors":"Antezana E,Egana M,Blonde W,Illarramendi A,Bilbao I,De Baets B,Stevens R,Mironov V,Kuiper M","journal":"Genome Biol","doi":"10.1186/gb-2009-10-5-r58","created_at":"2021-09-30T08:23:59.329Z","updated_at":"2021-09-30T08:23:59.329Z"}],"licence_links":[],"grants":[{"id":7036,"fairsharing_record_id":1237,"organisation_id":676,"relation":"maintains","created_at":"2021-09-30T09:28:23.653Z","updated_at":"2021-09-30T09:28:23.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":676,"name":"Department of Biology, Systems Biology, Norwegian University of Science and Technology (NTNU), Alesund, Norway","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7037,"fairsharing_record_id":1237,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:28:23.683Z","updated_at":"2021-09-30T09:31:26.109Z","grant_id":1167,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LSHG-CT-2004-512143","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1245","type":"fairsharing_records","attributes":{"created_at":"2015-04-30T15:44:59.000Z","updated_at":"2024-04-29T08:20:57.633Z","metadata":{"doi":"10.25504/FAIRsharing.3nx7t","name":"Dublin Core Metadata Element Set","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"dcmi-feedback@dublincore.net"}],"homepage":"https://www.dublincore.org/specifications/dublin-core/dces/","citations":[],"identifier":1245,"description":"The Dublin Metadata Element Set, which is often called Dublin Core (DC), is a standardized metadata scheme for description of any kind of resource such as documents in electronic and non-electronic form, digital materials (such as video, sound, images, etc) and composite media like web pages. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. Please note that this version of the specification for the Dublin Core Element Set 1.1 is somewhat out of date, although it is not officially deprecated. The DCMI Metadata Terms specification is linked to this record and is the current documentation that should be used for the Dublin Core Element Set 1.1. This document, an excerpt from the more comprehensive document \"DCMI Metadata Terms\" [DCTERMS] provides an abbreviated reference version of the fifteen element descriptions that have been formally endorsed in the following standards: ISO Standard 15836:2009 of February 2009 [ISO15836], ANSI/NISO Standard Z39.85-2012 of February 2013 [NISOZ3985], and IETF RFC 5013 of August 2007 [RFC5013].","abbreviation":"DCES","year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DC","name":"DC","portal":"BioPortal"}]},"legacy_ids":["bsg-000589","bsg-s000589"],"name":"FAIRsharing record for: Dublin Core Metadata Element Set","abbreviation":"DCES","url":"https://fairsharing.org/10.25504/FAIRsharing.3nx7t","doi":"10.25504/FAIRsharing.3nx7t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dublin Metadata Element Set, which is often called Dublin Core (DC), is a standardized metadata scheme for description of any kind of resource such as documents in electronic and non-electronic form, digital materials (such as video, sound, images, etc) and composite media like web pages. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. Please note that this version of the specification for the Dublin Core Element Set 1.1 is somewhat out of date, although it is not officially deprecated. The DCMI Metadata Terms specification is linked to this record and is the current documentation that should be used for the Dublin Core Element Set 1.1. This document, an excerpt from the more comprehensive document \"DCMI Metadata Terms\" [DCTERMS] provides an abbreviated reference version of the fifteen element descriptions that have been formally endorsed in the following standards: ISO Standard 15836:2009 of February 2009 [ISO15836], ANSI/NISO Standard Z39.85-2012 of February 2013 [NISOZ3985], and IETF RFC 5013 of August 2007 [RFC5013].","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18282},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11204},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13285},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13324},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13359},{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13367},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16957}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Subject Agnostic","Biomedical Science"],"domains":["Resource metadata","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1357,"relation":"undefined"}],"grants":[{"id":7054,"fairsharing_record_id":1245,"organisation_id":122,"relation":"funds","created_at":"2021-09-30T09:28:24.318Z","updated_at":"2021-09-30T09:28:24.318Z","grant_id":null,"is_lead":false,"saved_state":{"id":122,"name":"Association for Information Science and Technology (ASIS\u0026T)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7057,"fairsharing_record_id":1245,"organisation_id":2043,"relation":"maintains","created_at":"2021-09-30T09:28:24.400Z","updated_at":"2021-09-30T09:28:24.400Z","grant_id":null,"is_lead":false,"saved_state":{"id":2043,"name":"National Library of Finland, Helsinki, Finland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7063,"fairsharing_record_id":1245,"organisation_id":1342,"relation":"maintains","created_at":"2021-09-30T09:28:24.622Z","updated_at":"2021-09-30T09:28:24.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":1342,"name":"INFOCOM Corporation, Tokyo, Japan","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7055,"fairsharing_record_id":1245,"organisation_id":3142,"relation":"maintains","created_at":"2021-09-30T09:28:24.351Z","updated_at":"2021-09-30T09:28:24.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":3142,"name":"University of Tsukuba","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7056,"fairsharing_record_id":1245,"organisation_id":2042,"relation":"maintains","created_at":"2021-09-30T09:28:24.375Z","updated_at":"2021-09-30T09:28:24.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":2042,"name":"National Library Board (NLB), Singapore, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7058,"fairsharing_record_id":1245,"organisation_id":1837,"relation":"maintains","created_at":"2021-09-30T09:28:24.430Z","updated_at":"2021-09-30T09:28:24.430Z","grant_id":null,"is_lead":false,"saved_state":{"id":1837,"name":"MIMOS Berhad, Kuala Lumpur, Malaysia","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7059,"fairsharing_record_id":1245,"organisation_id":2569,"relation":"maintains","created_at":"2021-09-30T09:28:24.472Z","updated_at":"2021-09-30T09:28:24.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":2569,"name":"SIMMONDS - School of Library and Information Science","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7060,"fairsharing_record_id":1245,"organisation_id":2966,"relation":"maintains","created_at":"2021-09-30T09:28:24.510Z","updated_at":"2021-09-30T09:28:24.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":2966,"name":"Universidade Estadual Paulista - UNESP","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7061,"fairsharing_record_id":1245,"organisation_id":2557,"relation":"maintains","created_at":"2021-09-30T09:28:24.544Z","updated_at":"2021-09-30T09:28:24.544Z","grant_id":null,"is_lead":false,"saved_state":{"id":2557,"name":"Shanghai Library, Shanghai, China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7062,"fairsharing_record_id":1245,"organisation_id":2787,"relation":"maintains","created_at":"2021-09-30T09:28:24.581Z","updated_at":"2021-09-30T09:28:24.581Z","grant_id":null,"is_lead":false,"saved_state":{"id":2787,"name":"The Information School, University of Washington, Seattle, WA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7064,"fairsharing_record_id":1245,"organisation_id":2044,"relation":"maintains","created_at":"2021-09-30T09:28:24.667Z","updated_at":"2021-09-30T09:28:24.667Z","grant_id":null,"is_lead":false,"saved_state":{"id":2044,"name":"National library of Korea, Seoul, Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1246","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:16:10.248Z","metadata":{"doi":"10.25504/FAIRsharing.3fyavr","name":"Bioinformatics Web Service Ontology","status":"uncertain","contacts":[{"contact_name":"jie zheng","contact_email":"jiezheng@pcbi.upenn.edu"}],"homepage":"https://github.com/obi-webservice/OBIws","identifier":1246,"description":"The Bioinformatics Web Services ontology (OBIws) is an ontology that extends the Ontology for Biomedical Investigations (OBI) to build an ontology that supports consistent annotation of bioinformatics Web services. We follow a systematic methodology for enriching OBI with terms to support Web service annotation. This process involves the design of ontology analysis diagrams for Web services and their subsequent analysis to discover terms that need to be added to the ontology. Current OBIws ontology is focusing on sequence analysis web services. With developed patterns of modeling web services, OBIws can be extended easily to support annotations of different kind web services.","abbreviation":"OBIws","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBIWS","name":"OBIWS","portal":"BioPortal"}]},"legacy_ids":["bsg-002829","bsg-s002829"],"name":"FAIRsharing record for: Bioinformatics Web Service Ontology","abbreviation":"OBIws","url":"https://fairsharing.org/10.25504/FAIRsharing.3fyavr","doi":"10.25504/FAIRsharing.3fyavr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bioinformatics Web Services ontology (OBIws) is an ontology that extends the Ontology for Biomedical Investigations (OBI) to build an ontology that supports consistent annotation of bioinformatics Web services. We follow a systematic methodology for enriching OBI with terms to support Web service annotation. This process involves the design of ontology analysis diagrams for Web services and their subsequent analysis to discover terms that need to be added to the ontology. Current OBIws ontology is focusing on sequence analysis web services. With developed patterns of modeling web services, OBIws can be extended easily to support annotations of different kind web services.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Web service"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7065,"fairsharing_record_id":1246,"organisation_id":2208,"relation":"maintains","created_at":"2021-09-30T09:28:24.697Z","updated_at":"2021-09-30T09:28:24.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":2208,"name":"OBIws Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1247","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:24.000Z","updated_at":"2024-03-21T13:59:04.382Z","metadata":{"doi":"10.25504/FAIRsharing.pvfyj4","name":"LINCS Extended Metadata Standard: Other Reagents","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Other_Reagent_Metadata_2017.pdf","citations":[],"identifier":1247,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories. An example is lipopolysaccharide, a component of the outer membrane of gram-negative bacteria that triggers an immune response similar to that initiated by a bacterial infection. Information that is relevant to be reported about these reagents includes a standardized name and ID, provider information, purity, and source.","abbreviation":"LINCS 2: Other Reagents","support_links":[{"url":"https://lincsproject.org/LINCS/files/Other_Reagent_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000658","bsg-s000658"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Other Reagents","abbreviation":"LINCS 2: Other Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.pvfyj4","doi":"10.25504/FAIRsharing.pvfyj4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories. An example is lipopolysaccharide, a component of the outer membrane of gram-negative bacteria that triggers an immune response similar to that initiated by a bacterial infection. Information that is relevant to be reported about these reagents includes a standardized name and ID, provider information, purity, and source.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11906},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12497}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Reaction data","Experimental measurement","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":7067,"fairsharing_record_id":1247,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:24.760Z","updated_at":"2021-09-30T09:28:24.760Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11577,"fairsharing_record_id":1247,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:04.277Z","updated_at":"2024-03-21T13:59:04.277Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1231","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-23T15:15:04.407Z","metadata":{"doi":"10.25504/FAIRsharing.956df7","name":"STAndards for the Reporting of Diagnostic accuracy","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"stard@amc.uva.nl"},{"contact_name":"Jeremie Cohen","contact_email":"jeremie.cohen@inserm.fr","contact_orcid":null},{"contact_name":"Patrick Bossuyt","contact_email":"p.m.bossuyt@amc.uva.nl","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/stard/","citations":[],"identifier":1231,"description":"The objective of the STARD initiative is to improve the accuracy and completeness of reporting of studies of diagnostic accuracy, to allow readers to assess the potential for bias in the study (internal validity) and to evaluate its generalisability (external validity). The STARD statement consists of a checklist of 25 items and recommends the use of a flow diagram which describes the design of the study and the flow of patients. Please note that all STARD-related material is now only available on the EQUATOR website.","abbreviation":"STARD","support_links":[],"year_creation":2003},"legacy_ids":["bsg-000058","bsg-s000058"],"name":"FAIRsharing record for: STAndards for the Reporting of Diagnostic accuracy","abbreviation":"STARD","url":"https://fairsharing.org/10.25504/FAIRsharing.956df7","doi":"10.25504/FAIRsharing.956df7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The objective of the STARD initiative is to improve the accuracy and completeness of reporting of studies of diagnostic accuracy, to allow readers to assess the potential for bias in the study (internal validity) and to evaluate its generalisability (external validity). The STARD statement consists of a checklist of 25 items and recommends the use of a flow diagram which describes the design of the study and the flow of patients. Please note that all STARD-related material is now only available on the EQUATOR website.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11940},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12404},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16932}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Accuracy","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Canada","France","Netherlands","United Kingdom","United States"],"publications":[{"id":1938,"pubmed_id":12507953,"title":"Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Standards for Reporting of Diagnostic Accuracy.","year":2003,"url":"http://doi.org/10.1373/49.1.1","authors":"Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, Lijmer JG, Moher D, Rennie D, de Vet HC","journal":"Clin. Chem.","doi":"10.1373/49.1.1","created_at":"2021-09-30T08:25:58.122Z","updated_at":"2021-09-30T08:25:58.122Z"},{"id":1939,"pubmed_id":26511519,"title":"STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies.","year":2015,"url":"http://doi.org/10.1136/bmj.h5527","authors":"Bossuyt PM,Reitsma JB,Bruns DE,Gatsonis CA,Glasziou PP,Irwig L,Lijmer JG,Moher D,Rennie D,de Vet HC,Kressel HY,Rifai N,Golub RM,Altman DG,Hooft L,Korevaar DA,Cohen JF","journal":"BMJ","doi":"10.1136/bmj.h5527","created_at":"2021-09-30T08:25:58.232Z","updated_at":"2021-09-30T08:25:58.232Z"},{"id":4146,"pubmed_id":null,"title":"STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies","year":2015,"url":"http://dx.doi.org/10.1373/clinchem.2015.246280","authors":"Bossuyt, Patrick M; Reitsma, Johannes B; Bruns, David E; Gatsonis, Constantine A; Glasziou, Paul P; Irwig, Les; Lijmer, Jeroen G; Moher, David; Rennie, Drummond; de Vet, Henrica C W; Kressel, Herbert Y; Rifai, Nader; Golub, Robert M; Altman, Douglas G; Hooft, Lotty; Korevaar, Daniël A; Cohen, Jérémie F; ","journal":"Clinical Chemistry","doi":"10.1373/clinchem.2015.246280","created_at":"2024-02-20T09:57:51.644Z","updated_at":"2024-02-20T09:57:51.644Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3408,"relation":"applies_to_content"}],"grants":[{"id":11375,"fairsharing_record_id":1231,"organisation_id":2991,"relation":"collaborates_on","created_at":"2024-02-20T10:06:08.890Z","updated_at":"2024-02-20T10:06:08.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":2991,"name":"Universiteit Utrecht, Netherlands","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11377,"fairsharing_record_id":1231,"organisation_id":4273,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.288Z","updated_at":"2024-02-20T10:06:09.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":4273,"name":"Brown University","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11378,"fairsharing_record_id":1231,"organisation_id":4274,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.395Z","updated_at":"2024-02-20T10:06:09.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":4274,"name":"Bond University","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11379,"fairsharing_record_id":1231,"organisation_id":3130,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.656Z","updated_at":"2024-02-20T10:06:09.656Z","grant_id":null,"is_lead":false,"saved_state":{"id":3130,"name":"University of Sydney, Australia","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11380,"fairsharing_record_id":1231,"organisation_id":4275,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.793Z","updated_at":"2024-02-20T10:06:09.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":4275,"name":"Onze Lieve Vrouwe Gasthuis","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":11383,"fairsharing_record_id":1231,"organisation_id":3112,"relation":"collaborates_on","created_at":"2024-02-20T10:10:38.734Z","updated_at":"2024-02-20T10:10:38.734Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11381,"fairsharing_record_id":1231,"organisation_id":2280,"relation":"collaborates_on","created_at":"2024-02-20T10:06:10.005Z","updated_at":"2024-02-20T10:06:10.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":11382,"fairsharing_record_id":1231,"organisation_id":3035,"relation":"collaborates_on","created_at":"2024-02-20T10:10:38.732Z","updated_at":"2024-02-20T10:10:38.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":3035,"name":"University of California San Francisco","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11386,"fairsharing_record_id":1231,"organisation_id":207,"relation":"collaborates_on","created_at":"2024-02-20T10:10:39.145Z","updated_at":"2024-02-20T10:10:39.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":207,"name":"Beth Israel Deaconess Medical Center, Boston, USA","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":11384,"fairsharing_record_id":1231,"organisation_id":2184,"relation":"collaborates_on","created_at":"2024-02-20T10:10:38.834Z","updated_at":"2024-02-20T10:10:38.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11385,"fairsharing_record_id":1231,"organisation_id":300,"relation":"collaborates_on","created_at":"2024-02-20T10:10:39.058Z","updated_at":"2024-02-20T10:10:39.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":300,"name":"Boston Children's Hospital, MA, USA","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":11374,"fairsharing_record_id":1231,"organisation_id":3012,"relation":"maintains","created_at":"2024-02-20T10:06:08.529Z","updated_at":"2024-04-23T12:42:39.305Z","grant_id":null,"is_lead":true,"saved_state":{"id":3012,"name":"University of Amsterdam, Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11376,"fairsharing_record_id":1231,"organisation_id":3147,"relation":"collaborates_on","created_at":"2024-02-20T10:06:08.969Z","updated_at":"2024-02-20T10:06:08.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":3147,"name":"University of Virginia","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11387,"fairsharing_record_id":1231,"organisation_id":3197,"relation":"collaborates_on","created_at":"2024-02-20T10:10:39.283Z","updated_at":"2024-02-20T10:10:39.283Z","grant_id":null,"is_lead":false,"saved_state":{"id":3197,"name":"Vrije Universiteit Amsterdam, The Netherlands","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11736,"fairsharing_record_id":1231,"organisation_id":3458,"relation":"maintains","created_at":"2024-04-23T12:42:38.782Z","updated_at":"2024-04-23T12:42:38.782Z","grant_id":null,"is_lead":true,"saved_state":{"id":3458,"name":"Université Paris Cité","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11737,"fairsharing_record_id":1231,"organisation_id":4273,"relation":"maintains","created_at":"2024-04-23T12:42:38.789Z","updated_at":"2024-04-23T12:42:38.789Z","grant_id":null,"is_lead":true,"saved_state":{"id":4273,"name":"Brown University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1248","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-27T15:43:45.007Z","metadata":{"doi":"10.25504/FAIRsharing.wcpd6f","name":"Basic Formal Ontology","status":"ready","contacts":[{"contact_name":"Barry Smith","contact_email":"phismith@buffalo.edu"}],"homepage":"https://www.iso.org/standard/74572.html","citations":[],"identifier":1248,"description":"The Basic Formal Ontology (BFO, also known via its ISO label as 'ISO/IEC 21838-2:2021 Information technology — Top-level ontologies (TLO) — Part 2: Basic Formal Ontology (BFO)') is an ontology that is conformant to the requirements specified for top-level ontologies in ISO/IEC 21838‑1. BFO is a small, upper level ontology that is designed for use in supporting information retrieval, analysis and integration in scientific and other domains. BFO is a genuine upper ontology. Thus it does not contain physical, chemical, biological or other terms which would properly fall within the coverage domains of the special sciences. BFO is used by more than 250 ontology-driven endeavors throughout the world. ","abbreviation":"BFO","support_links":[{"url":"https://github.com/bfo-ontology/BFO/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://buffalo.app.box.com/s/u4r7ji8hhnejso7u1aufh3mkeludwngu","name":"Tutorials","type":"Help documentation"},{"url":"https://github.com/bfo-ontology/BFO","name":"GitHub Repository","type":"Github"},{"url":"https://www.youtube.com/channel/UC8rDbmRGP6A2bs6tn0AOErQ","name":"BFO YouTube Channel","type":"Video"},{"url":"http://youtu.be/Yl6_M1sQEAQ","name":"Video Introduction to BFO","type":"Training documentation"},{"url":"http://basic-formal-ontology.org","name":"BFO 2.0 Documentation ","type":"Help documentation"},{"url":"https://groups.google.com/g/bfo-discuss","type":"Forum"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BFO","name":" BioPortal: BFO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bfo.html","name":"OBO Foundry: bfo","portal":"OBO Foundry"},{"url":"http://agroportal.lirmm.fr/ontologies/BFO","name":"Agroportal: BFO","portal":"AgroPortal"}]},"legacy_ids":["bsg-000156","bsg-s000156"],"name":"FAIRsharing record for: Basic Formal Ontology","abbreviation":"BFO","url":"https://fairsharing.org/10.25504/FAIRsharing.wcpd6f","doi":"10.25504/FAIRsharing.wcpd6f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Basic Formal Ontology (BFO, also known via its ISO label as 'ISO/IEC 21838-2:2021 Information technology — Top-level ontologies (TLO) — Part 2: Basic Formal Ontology (BFO)') is an ontology that is conformant to the requirements specified for top-level ontologies in ISO/IEC 21838‑1. BFO is a small, upper level ontology that is designed for use in supporting information retrieval, analysis and integration in scientific and other domains. BFO is a genuine upper ontology. Thus it does not contain physical, chemical, biological or other terms which would properly fall within the coverage domains of the special sciences. BFO is used by more than 250 ontology-driven endeavors throughout the world. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Data retrieval"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1908,"pubmed_id":null,"title":"Building Ontologies With Basic Formal Ontology","year":2015,"url":"https://mitpress.mit.edu/books/building-ontologies-basic-formal-ontology","authors":"Robert Arp, Barry Smith and Andrew Spear","journal":"(book) MIT Press","doi":null,"created_at":"2021-09-30T08:25:54.564Z","updated_at":"2021-09-30T08:25:54.564Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1752,"relation":"undefined"}],"grants":[{"id":10953,"fairsharing_record_id":1248,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:54:50.064Z","updated_at":"2023-09-27T14:54:50.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":7068,"fairsharing_record_id":1248,"organisation_id":1380,"relation":"maintains","created_at":"2021-09-30T09:28:24.788Z","updated_at":"2021-09-30T09:28:24.788Z","grant_id":null,"is_lead":true,"saved_state":{"id":1380,"name":"Institute for Formal Ontology and Medical Information Science (IFOMIS), Saarbruecken, Germany","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1287","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:31.609Z","metadata":{"doi":"10.25504/FAIRsharing.ezwdhz","name":"Phenotypic QualiTy Ontology","status":"ready","contacts":[{"contact_name":"George Gkoutos","contact_email":"g.gkoutos@gmail.com","contact_orcid":"0000-0002-2061-091X"}],"homepage":"https://github.com/pato-ontology/pato/","identifier":1287,"description":"PATO is an ontology of phenotypic qualities, intended for use in a number of applications, primarily phenotype annotation. This ontology can be used in conjunction with other ontologies such as GO or anatomical ontologies to refer to phenotypes.","abbreviation":"PATO","support_links":[{"url":"https://github.com/pato-ontology/pato/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/pato-ontology/pato/blob/master/CHANGES.md","name":"Changes with Each Release","type":"Github"}],"year_creation":2004,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PATO","name":"PATO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pato.html","name":"pato","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000134","bsg-s000134"],"name":"FAIRsharing record for: Phenotypic QualiTy Ontology","abbreviation":"PATO","url":"https://fairsharing.org/10.25504/FAIRsharing.ezwdhz","doi":"10.25504/FAIRsharing.ezwdhz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PATO is an ontology of phenotypic qualities, intended for use in a number of applications, primarily phenotype annotation. This ontology can be used in conjunction with other ontologies such as GO or anatomical ontologies to refer to phenotypes.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17570},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10871},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11960},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17987}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity","Biology"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":986,"pubmed_id":15642100,"title":"Using ontologies to describe mouse phenotypes.","year":2005,"url":"http://doi.org/10.1186/gb-2004-6-1-r8","authors":"Gkoutos GV,Green EC,Mallon AM,Hancock JM,Davidson D","journal":"Genome Biol","doi":"10.1186/gb-2004-6-1-r8","created_at":"2021-09-30T08:24:09.147Z","updated_at":"2021-09-30T08:24:09.147Z"},{"id":1185,"pubmed_id":20064205,"title":"Integrating phenotype ontologies across multiple species.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-1-r2","authors":"Mungall CJ,Gkoutos GV,Smith CL,Haendel MA,Lewis SE,Ashburner M","journal":"Genome Biol","doi":"10.1186/gb-2010-11-1-r2","created_at":"2021-09-30T08:24:31.725Z","updated_at":"2021-09-30T08:24:31.725Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1747,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1748,"relation":"undefined"}],"grants":[{"id":7140,"fairsharing_record_id":1287,"organisation_id":2295,"relation":"maintains","created_at":"2021-09-30T09:28:27.163Z","updated_at":"2021-09-30T09:28:27.163Z","grant_id":null,"is_lead":true,"saved_state":{"id":2295,"name":"PATO administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7141,"fairsharing_record_id":1287,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:27.205Z","updated_at":"2021-09-30T09:31:33.001Z","grant_id":1220,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BG/G004358/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7138,"fairsharing_record_id":1287,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:27.088Z","updated_at":"2021-09-30T09:32:06.097Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7139,"fairsharing_record_id":1287,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:27.125Z","updated_at":"2021-09-30T09:32:09.485Z","grant_id":1493,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1288","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-30T15:19:34.644Z","metadata":{"doi":"10.25504/FAIRsharing.tghhc4","name":"Pipeline Patterns Ontology","status":"ready","contacts":[{"contact_name":"PEAO Team","contact_email":"peaoteam@gmail.com"}],"homepage":"https://bitbucket.org/PlantExpAssay/ontology","citations":[],"identifier":1288,"description":"To answer the need for a workflow representing a sequence of data transformations, a high-level process ontology was defined, denoted Pipeline Patterns (PP) ontology. Every concept is generically a Data (class from EDAM), which can be further specified as an Entry (P:00002) or an Exit (P:00009). All Entries can be subjected to an Operation (class from EDAM) producing an Intermediate (P:00010). An Intermediate has a TemporalEntity associated to represent its time of creation. Some Entries are specifically of the type Exit, meaning that they will represent concepts that exit the current category and be passed to the next one on the workflow. Additionally, in order to permit the treatment of a set of objects as a single entity, this high-level ontology considers the concept of List (P:00004) and more specifically an Aggregate (P:00005), containing a set of Data or Entry, respectively. The concept Intermediate is an Entry, allowing for the successive application of an operation to an Element. This is particularly useful in the case of the application of sequential set of operations.","abbreviation":"PP","support_links":[],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PP","name":"PP","portal":"BioPortal"}]},"legacy_ids":["bsg-001043","bsg-s001043"],"name":"FAIRsharing record for: Pipeline Patterns Ontology","abbreviation":"PP","url":"https://fairsharing.org/10.25504/FAIRsharing.tghhc4","doi":"10.25504/FAIRsharing.tghhc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To answer the need for a workflow representing a sequence of data transformations, a high-level process ontology was defined, denoted Pipeline Patterns (PP) ontology. Every concept is generically a Data (class from EDAM), which can be further specified as an Entry (P:00002) or an Exit (P:00009). All Entries can be subjected to an Operation (class from EDAM) producing an Intermediate (P:00010). An Intermediate has a TemporalEntity associated to represent its time of creation. Some Entries are specifically of the type Exit, meaning that they will represent concepts that exit the current category and be passed to the next one on the workflow. Additionally, in order to permit the treatment of a set of objects as a single entity, this high-level ontology considers the concept of List (P:00004) and more specifically an Aggregate (P:00005), containing a set of Data or Entry, respectively. The concept Intermediate is an Entry, allowing for the successive application of an operation to an Element. This is particularly useful in the case of the application of sequential set of operations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Assay","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3150,"relation":"applies_to_content"}],"grants":[{"id":10471,"fairsharing_record_id":1288,"organisation_id":1447,"relation":"funds","created_at":"2023-03-30T15:18:47.062Z","updated_at":"2023-03-30T15:18:47.062Z","grant_id":1941,"is_lead":false,"saved_state":{"id":1447,"name":"Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Lisboa, Portugal","grant":"EXCL/EEI-ESS/0257/2012","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":10472,"fairsharing_record_id":1288,"organisation_id":1081,"relation":"funds","created_at":"2023-03-30T15:18:47.062Z","updated_at":"2023-03-30T15:18:47.062Z","grant_id":1505,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia","grant":"DATASTORM (Large-Scale Data Management in Cloud Environments) project ref. EXCL/EEI-ESS/0257/2012","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1289","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-17T07:52:57.227Z","metadata":{"doi":"10.25504/FAIRsharing.2ffmsb","name":"EDDA Study Designs Taxonomy","status":"deprecated","contacts":[{"contact_name":"Tanja Bekhuis","contact_email":"tcb24@pitt.edu"}],"homepage":"http://edda.dbmi.pitt.edu/","citations":[],"identifier":1289,"description":"Terminology of study designs and publication types (beta version). Developed by the Evidence in Documents, Discovery, and Analysis (EDDA) Group. Tanja Bekhuis (PI); Eugene Tseytlin (Systems Developer); Ashleigh Faith (Taxonomist). Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pennsylvania, US. This work was made possible, in part, by the US National Library of Medicine, National Institutes of Health, grant no. R00LM010943. Based on research described in Bekhuis T, Demner-Fushman D, Crowley RS. Comparative effectiveness research designs: an analysis of terms and coverage in Medical Subject Headings (MeSH) and Emtree. Journal of the Medical Library Association (JMLA). 2013 April;101(2):92-100. PMC3634392. The terminology appearing in JMLA has been enriched with terms from MeSH, NCI Thesaurus (NCIT), and Emtree, the controlled vocabularies for MEDLINE, the National Cancer Institute, and Embase, respectively, as well as from published research literature. Variants include synonyms for preferred terms, singular and plural forms, and American and British spellings. Definitions, if they exist, are mainly from MeSH, NCIT, Emtree, and medical dictionaries. A class for Publication Type is included because investigators consider type and design when screening reports for inclusion in comparative effectiveness research. EDDA Study Designs and Publications by Tanja Bekhuis is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.","abbreviation":"EDDA","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDDA","name":"EDDA","portal":"BioPortal"}],"deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000755","bsg-s000755"],"name":"FAIRsharing record for: EDDA Study Designs Taxonomy","abbreviation":"EDDA","url":"https://fairsharing.org/10.25504/FAIRsharing.2ffmsb","doi":"10.25504/FAIRsharing.2ffmsb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology of study designs and publication types (beta version). Developed by the Evidence in Documents, Discovery, and Analysis (EDDA) Group. Tanja Bekhuis (PI); Eugene Tseytlin (Systems Developer); Ashleigh Faith (Taxonomist). Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pennsylvania, US. This work was made possible, in part, by the US National Library of Medicine, National Institutes of Health, grant no. R00LM010943. Based on research described in Bekhuis T, Demner-Fushman D, Crowley RS. Comparative effectiveness research designs: an analysis of terms and coverage in Medical Subject Headings (MeSH) and Emtree. Journal of the Medical Library Association (JMLA). 2013 April;101(2):92-100. PMC3634392. The terminology appearing in JMLA has been enriched with terms from MeSH, NCI Thesaurus (NCIT), and Emtree, the controlled vocabularies for MEDLINE, the National Cancer Institute, and Embase, respectively, as well as from published research literature. Variants include synonyms for preferred terms, singular and plural forms, and American and British spellings. Definitions, if they exist, are mainly from MeSH, NCIT, Emtree, and medical dictionaries. A class for Publication Type is included because investigators consider type and design when screening reports for inclusion in comparative effectiveness research. EDDA Study Designs and Publications by Tanja Bekhuis is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1290","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T09:02:29.000Z","updated_at":"2021-11-24T13:14:30.014Z","metadata":{"doi":"10.25504/FAIRsharing.yy18av","name":"Minimum Information About a Cellular Assay for Regenerative Medicine","status":"ready","contacts":[{"contact_name":"Kunie Sakurai","contact_email":"k.sakurai@cira.kyoto-u.ac.jp"}],"homepage":"http://stemcellinformatics.org/standards/minimum_info","identifier":1290,"description":"Currently, there are more than 20 human cell information storage sites around the world. However, reproducibility and data exchange among different laboratories or cell information providers are usually inadequate or nonexistent because of the lack of a standardized format for experiments. This study, which is the fruit of collaborative work by scientists at stem cell banks and cellular information registries worldwide, including those in the U.S., the U.K., Europe, and Japan, proposes new minimum information guidelines, Minimum Information About a Cellular Assay for Regenerative Medicine (MIACARM), for cellular assay data deposition. MIACARM was developed based on the existing guideline called MIACA. MIACARM is intended to promote data exchange and facilitation of practical regenerative medicine.","abbreviation":"MIACARM","year_creation":2016},"legacy_ids":["bsg-000679","bsg-s000679"],"name":"FAIRsharing record for: Minimum Information About a Cellular Assay for Regenerative Medicine","abbreviation":"MIACARM","url":"https://fairsharing.org/10.25504/FAIRsharing.yy18av","doi":"10.25504/FAIRsharing.yy18av","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Currently, there are more than 20 human cell information storage sites around the world. However, reproducibility and data exchange among different laboratories or cell information providers are usually inadequate or nonexistent because of the lack of a standardized format for experiments. This study, which is the fruit of collaborative work by scientists at stem cell banks and cellular information registries worldwide, including those in the U.S., the U.K., Europe, and Japan, proposes new minimum information guidelines, Minimum Information About a Cellular Assay for Regenerative Medicine (MIACARM), for cellular assay data deposition. MIACARM was developed based on the existing guideline called MIACA. MIACARM is intended to promote data exchange and facilitation of practical regenerative medicine.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12076}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Regenerative Medicine","Biomedical Science"],"domains":["Cell","Stem cell","Quality control","Assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States","European Union"],"publications":[{"id":1647,"pubmed_id":27405781,"title":"First proposal of Minimum Information About a Cellular Assay for Regenerative Medicine","year":2016,"url":"http://doi.org/10.5966/sctm.2015-0393","authors":"Kunie Sakurai, Andreas Kurtz, Glyn Stacey, Michael Sheldon, and Wataru Fujibuchi","journal":"Stem Cells Translational Medicine","doi":"10.5966/sctm.2015-0393","created_at":"2021-09-30T08:25:24.489Z","updated_at":"2021-09-30T08:25:24.489Z"}],"licence_links":[],"grants":[{"id":7142,"fairsharing_record_id":1290,"organisation_id":425,"relation":"maintains","created_at":"2021-09-30T09:28:27.292Z","updated_at":"2021-09-30T09:28:27.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":425,"name":"Center for iPS Cell Research and Application, Kyoto University, Japan","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1291","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:48:57.960Z","metadata":{"doi":"10.25504/FAIRsharing.t955dp","name":"Read Codes Clinical Terms Version 3","status":"ready","contacts":[{"contact_name":"NHS Information Authority Loughborough","contact_email":"helpdesk3@nhsccc.exec.nhs.uk"}],"homepage":"https://digital.nhs.uk/article/1104/Read-Codes","identifier":1291,"description":"Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. Clinical Terms Version 3 (CTV3) has been merged with the Systematized Nomenclature of Medicine – Reference Terminology (SNOMED RT), resulting in the creation of SNOMED – Clinical Terms (SNOMED CT). PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, with CTV3 due to be retired after the April 2018 release. Organisations should be well underway with their preparations to ensure they can use the dictionary of medicines and devices (dm+d) for medicines and SNOMED CT for clinical content. SNOMED CT is adopted across primary care and the wider NHS.","abbreviation":"CTV3","support_links":[{"url":"information.standards@hscic.gov.uk","name":"Contact Email","type":"Support email"}],"year_creation":1985,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RCD","name":"RCD","portal":"BioPortal"}]},"legacy_ids":["bsg-000930","bsg-s000930"],"name":"FAIRsharing record for: Read Codes Clinical Terms Version 3","abbreviation":"CTV3","url":"https://fairsharing.org/10.25504/FAIRsharing.t955dp","doi":"10.25504/FAIRsharing.t955dp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. Clinical Terms Version 3 (CTV3) has been merged with the Systematized Nomenclature of Medicine – Reference Terminology (SNOMED RT), resulting in the creation of SNOMED – Clinical Terms (SNOMED CT). PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, with CTV3 due to be retired after the April 2018 release. Organisations should be well underway with their preparations to ensure they can use the dictionary of medicines and devices (dm+d) for medicines and SNOMED CT for clinical content. SNOMED CT is adopted across primary care and the wider NHS.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12527}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Primary Health Care","Preclinical Studies"],"domains":["Drug","Diagnosis","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Government Licence (OGL)","licence_id":628,"licence_url":"http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/","link_id":1374,"relation":"undefined"}],"grants":[{"id":7143,"fairsharing_record_id":1291,"organisation_id":2903,"relation":"maintains","created_at":"2021-09-30T09:28:27.333Z","updated_at":"2021-09-30T09:28:27.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":2903,"name":"UK Terminology Centre (UKTC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1300","type":"fairsharing_records","attributes":{"created_at":"2018-03-14T09:58:26.000Z","updated_at":"2022-12-13T09:40:42.750Z","metadata":{"doi":"10.25504/FAIRsharing.dkKf7I","name":"Simple Application Messaging Protocol","status":"ready","contacts":[{"contact_name":"SAMP Mailing list","contact_email":"apps-samp@ivoa.net"}],"homepage":"http://ivoa.net/documents/SAMP/index.html","citations":[{"publication_id":2929}],"identifier":1300,"description":"SAMP is a messaging protocol that enables astronomy software tools to interoperate and communicate. IVOA members have recognised that building a monolithic tool that attempts to fulfil all the requirements of all users is impractical, and it is a better use of our limited resources to enable individual tools to work together better. One element of this is defining common file formats for the exchange of data between different applications. Another important component is a messaging system that enables the applications to share data and take advantage of each other's functionality. SAMP supports communication between applications on the desktop and in web browsers, and is also intended to form a framework for more general messaging requirements.","abbreviation":"SAMP","support_links":[{"url":"m.b.taylor@bristol.ac.uk","name":"M. Taylor","type":"Support email"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SampInfo","name":"SAMP Wiki","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001142","bsg-s001142"],"name":"FAIRsharing record for: Simple Application Messaging Protocol","abbreviation":"SAMP","url":"https://fairsharing.org/10.25504/FAIRsharing.dkKf7I","doi":"10.25504/FAIRsharing.dkKf7I","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SAMP is a messaging protocol that enables astronomy software tools to interoperate and communicate. IVOA members have recognised that building a monolithic tool that attempts to fulfil all the requirements of all users is impractical, and it is a better use of our limited resources to enable individual tools to work together better. One element of this is defining common file formats for the exchange of data between different applications. Another important component is a messaging system that enables the applications to share data and take advantage of each other's functionality. SAMP supports communication between applications on the desktop and in web browsers, and is also intended to form a framework for more general messaging requirements.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11485}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Integration","Astrophysics and Astronomy"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2278,"pubmed_id":null,"title":"SAMP, the Simple Application Messaging Protocol: Letting applications talk to each other","year":2015,"url":"http://doi.org/10.1016/j.ascom.2014.12.007","authors":"M.B.Taylor, T.Boch, J.Taylor","journal":"Astronomy and Computing, Volume 11, Part B, Pages 81-90","doi":"10.1016/j.ascom.2014.12.007","created_at":"2021-09-30T08:26:37.481Z","updated_at":"2021-09-30T08:26:37.481Z"},{"id":2929,"pubmed_id":null,"title":"Simple Application Messaging Protocol Version 1.3","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.1104T","authors":"Taylor, M.; Boch, T.; Fitzpatrick, M.; Allan, A.; Fay, J.; Paioro, L.; Taylor, J.; Tody, D.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:00.750Z","updated_at":"2021-09-30T08:28:00.750Z"}],"licence_links":[],"grants":[{"id":7160,"fairsharing_record_id":1300,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:27.986Z","updated_at":"2021-09-30T09:28:27.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7161,"fairsharing_record_id":1300,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:28.026Z","updated_at":"2021-09-30T09:28:28.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1301","type":"fairsharing_records","attributes":{"created_at":"2015-11-25T16:56:39.000Z","updated_at":"2021-11-24T13:13:30.246Z","metadata":{"doi":"10.25504/FAIRsharing.1bg18n","name":"Life Sciences Domain Analysis Model","status":"deprecated","contacts":[{"contact_name":"Juli Klemm","contact_email":"klemmj@mail.nih.gov"}],"homepage":"https://wiki.nci.nih.gov/pages/viewpage.action?pageId=23401587","identifier":1301,"description":"The LS DAM v2.2.1 is comprised of 130 classes and covers several core areas including Experiment, Molecular Biology, Molecular Databases and Specimen. Nearly half of these classes originate from the BRIDG model, emphasizing the semantic harmonization between these models. Validation of the LS DAM against independently derived information models, research scenarios and reference databases supports its general applicability to represent life sciences research.","abbreviation":"LS-DAM","year_creation":2012,"deprecation_date":"2015-11-30","deprecation_reason":"This record for the LS-DAM standard is deprecated as this standard is no longer actively maintained in it's own right as it has become subsumed into the BRIDG model standard."},"legacy_ids":["bsg-000627","bsg-s000627"],"name":"FAIRsharing record for: Life Sciences Domain Analysis Model","abbreviation":"LS-DAM","url":"https://fairsharing.org/10.25504/FAIRsharing.1bg18n","doi":"10.25504/FAIRsharing.1bg18n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LS DAM v2.2.1 is comprised of 130 classes and covers several core areas including Experiment, Molecular Biology, Molecular Databases and Specimen. Nearly half of these classes originate from the BRIDG model, emphasizing the semantic harmonization between these models. Validation of the LS DAM against independently derived information models, research scenarios and reference databases supports its general applicability to represent life sciences research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Molecular biology","Life Science"],"domains":["Gene model annotation","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":886,"pubmed_id":22744959,"title":"Life sciences domain analysis model.","year":2012,"url":"http://doi.org/10.1136/amiajnl-2011-000763","authors":"Freimuth RR, Freund ET, Schick L, Sharma MK, Stafford GA, Suzek BE, Hernandez J, Hipp J, Kelley JM, Rokicki K, Pan S, Buckler A, Stokes TH, Fernandez A, Fore I, Buetow KH, Klemm JD","journal":"J Am Med Inform Assoc","doi":"10.1136/amiajnl-2011-000763","created_at":"2021-09-30T08:23:57.837Z","updated_at":"2021-09-30T08:23:57.837Z"}],"licence_links":[],"grants":[{"id":7162,"fairsharing_record_id":1301,"organisation_id":1223,"relation":"maintains","created_at":"2021-09-30T09:28:28.069Z","updated_at":"2021-09-30T09:28:28.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7163,"fairsharing_record_id":1301,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:28:28.107Z","updated_at":"2021-09-30T09:28:28.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7164,"fairsharing_record_id":1301,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:28:28.144Z","updated_at":"2021-09-30T09:28:28.144Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1302","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:18:03.168Z","metadata":{"doi":"10.25504/FAIRsharing.31apg2","name":"IBP Cowpea Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_340:ROOT","citations":[],"identifier":1302,"description":"The Cowpea Trait Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_340","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help page","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001104","bsg-s001104"],"name":"FAIRsharing record for: IBP Cowpea Trait Ontology","abbreviation":"CO_340","url":"https://fairsharing.org/10.25504/FAIRsharing.31apg2","doi":"10.25504/FAIRsharing.31apg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cowpea Trait Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food","Phenotype"],"taxonomies":["Vigna unguiculata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[{"id":2198,"pubmed_id":22934074,"title":"Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice.","year":2012,"url":"http://doi.org/10.3389/fphys.2012.00326","authors":"Shrestha R,Matteis L,Skofic M,Portugal A,McLaren G,Hyman G,Arnaud E","journal":"Front Physiol","doi":"10.3389/fphys.2012.00326","created_at":"2021-09-30T08:26:27.748Z","updated_at":"2021-09-30T08:26:27.748Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1815,"relation":"undefined"}],"grants":[{"id":7165,"fairsharing_record_id":1302,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:28:28.186Z","updated_at":"2021-09-30T09:28:28.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7166,"fairsharing_record_id":1302,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:28:28.240Z","updated_at":"2021-09-30T09:28:28.240Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1303","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.374Z","metadata":{"doi":"10.25504/FAIRsharing.bnx9cf","name":"Molecular Connections Cell Line Ontology","status":"uncertain","contacts":[{"contact_name":"Usha Mahadevan","contact_email":"usha@molecularconnections.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/MCCL","identifier":1303,"description":"The Molecular Connections Cell Line Ontology models primary and established cell lines-both normal and pathologic. It covers around 400 cell lines. This ontology has been built to include the major domains in the field of biology like anatomy, bio-molecules, chemicals and drugs, pathological conditions and genetic variations around the cell lines. The ontology covers all cell lines from sources such ATCC, DSMZ, ECACC, ICLC. This ontology has been developed as an extension of the sub class “cell line cell” which is a part of the major class “experimentally modified cell” of the Cell type [CL] ontology that already existed in OBO foundry. Disease ontology with which the cell line relates to has been exported from “Human Disease” [DOID] ontology and the organ/tissue details relate to the “Foundational model of anatomy” [FMA] ontology. There appears to be no official homepage.","abbreviation":"MCCL","support_links":[{"url":"http://www.molecularconnections.com/?p=14924","name":"Molecular Connections Press Release","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MCCL","name":"MCCL","portal":"BioPortal"}]},"legacy_ids":["bsg-002620","bsg-s002620"],"name":"FAIRsharing record for: Molecular Connections Cell Line Ontology","abbreviation":"MCCL","url":"https://fairsharing.org/10.25504/FAIRsharing.bnx9cf","doi":"10.25504/FAIRsharing.bnx9cf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Molecular Connections Cell Line Ontology models primary and established cell lines-both normal and pathologic. It covers around 400 cell lines. This ontology has been built to include the major domains in the field of biology like anatomy, bio-molecules, chemicals and drugs, pathological conditions and genetic variations around the cell lines. The ontology covers all cell lines from sources such ATCC, DSMZ, ECACC, ICLC. This ontology has been developed as an extension of the sub class “cell line cell” which is a part of the major class “experimentally modified cell” of the Cell type [CL] ontology that already existed in OBO foundry. Disease ontology with which the cell line relates to has been exported from “Human Disease” [DOID] ontology and the organ/tissue details relate to the “Foundational model of anatomy” [FMA] ontology. There appears to be no official homepage.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Health Science","Life Science"],"domains":["Cell line","Cell","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":7167,"fairsharing_record_id":1303,"organisation_id":1887,"relation":"maintains","created_at":"2021-09-30T09:28:28.277Z","updated_at":"2021-09-30T09:28:28.277Z","grant_id":null,"is_lead":false,"saved_state":{"id":1887,"name":"Molecular Connections, Bangalore, India","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1304","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2023-03-24T15:29:31.104Z","metadata":{"doi":"10.25504/FAIRsharing.str8m4","name":"Cigarette Smoke Exposure Ontology","status":"deprecated","contacts":[{"contact_name":"Dr. Sam Ansari","contact_email":"sam.ansari@pmi.com"}],"homepage":"https://publicwiki-01.fraunhofer.de/CSEO-Wiki/index.php/Main_Page","citations":[{"doi":"10.1186/2041-1480-5-31","pubmed_id":25093069,"publication_id":1384}],"identifier":1304,"description":"The Cigarette Smoke Exposure Ontology (CSEO) is a specialized ontology of environmental exposure with particular focus on the description of the experimental elements and the impact that environmental exposure, e.g. cigarette smoke, poses to biological systems. The scope of CSEO is centered on the following elements: Exposure experiment, Exposure condition, Test system, Sampling, and Disease outcome.","abbreviation":"CSEO","support_links":[{"url":"https://publicwiki-01.fraunhofer.de/CSEO-Wiki/index.php/About_CSEO","name":"About CSEO","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSEO","name":"CSEO","portal":"BioPortal"}],"deprecation_date":"2023-03-24","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-000944","bsg-s000944"],"name":"FAIRsharing record for: Cigarette Smoke Exposure Ontology","abbreviation":"CSEO","url":"https://fairsharing.org/10.25504/FAIRsharing.str8m4","doi":"10.25504/FAIRsharing.str8m4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cigarette Smoke Exposure Ontology (CSEO) is a specialized ontology of environmental exposure with particular focus on the description of the experimental elements and the impact that environmental exposure, e.g. cigarette smoke, poses to biological systems. The scope of CSEO is centered on the following elements: Exposure experiment, Exposure condition, Test system, Sampling, and Disease outcome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Environmental contaminant","Disease course","Exposure"],"taxonomies":["All"],"user_defined_tags":["Species-environment interaction"],"countries":["Germany","Switzerland","United States"],"publications":[{"id":1384,"pubmed_id":25093069,"title":"CSEO - the Cigarette Smoke Exposure Ontology.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-31","authors":"Younesi E,Ansari S,Guendel M,Ahmadi S,Coggins C,Hoeng J,Hofmann-Apitius M,Peitsch MC","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-31","created_at":"2021-09-30T08:24:54.768Z","updated_at":"2021-09-30T08:24:54.768Z"}],"licence_links":[],"grants":[{"id":7168,"fairsharing_record_id":1304,"organisation_id":2320,"relation":"funds","created_at":"2021-09-30T09:28:28.319Z","updated_at":"2021-09-30T09:28:28.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":2320,"name":"Philip Morris International R\u0026D, Philip Morris Products S.A, Neuchatel, Switzerland","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7169,"fairsharing_record_id":1304,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:28:28.357Z","updated_at":"2021-09-30T09:28:28.357Z","grant_id":null,"is_lead":true,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1295","type":"fairsharing_records","attributes":{"created_at":"2019-10-24T11:01:53.000Z","updated_at":"2022-07-20T12:47:31.122Z","metadata":{"doi":"10.25504/FAIRsharing.vxpUJ6","name":"Ontology of Host-Pathogen Interactions","status":"ready","contacts":[{"contact_name":"Edison Ong","contact_email":"edong@umich.edu","contact_orcid":"0000-0002-5159-414X"}],"homepage":"https://github.com/OHPI/ohpi","identifier":1295,"description":"OHPI is a community-driven ontology of host-pathogen interactions (OHPI) and represents the virulence factors (VFs) and how the mutants of VFs in the Victors database become less virulence inside a host organism or host cells. It is also developed to represent manually curated HPI knowledge available in the PHIDIAS resource.","abbreviation":"OHPI","support_links":[{"url":"https://github.com/OHPI/ohpi/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2019,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OHPI","name":"OHPI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ohpi.html","name":"ohpi","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001395","bsg-s001395"],"name":"FAIRsharing record for: Ontology of Host-Pathogen Interactions","abbreviation":"OHPI","url":"https://fairsharing.org/10.25504/FAIRsharing.vxpUJ6","doi":"10.25504/FAIRsharing.vxpUJ6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OHPI is a community-driven ontology of host-pathogen interactions (OHPI) and represents the virulence factors (VFs) and how the mutants of VFs in the Victors database become less virulence inside a host organism or host cells. It is also developed to represent manually curated HPI knowledge available in the PHIDIAS resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Biomedical Science"],"domains":["Pathogen","Host","Infection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2588,"pubmed_id":30365026,"title":"Victors: a web-based knowledge base of virulence factors in human and animal pathogens.","year":2018,"url":"http://doi.org/10.1093/nar/gky999","authors":"Sayers S,Li L,Ong E,Deng S,Fu G,Lin Y,Yang B,Zhang S,Fa Z,Zhao B,Xiang Z,Li Y,Zhao XM,Olszewski MA,Chen L,He Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky999","created_at":"2021-09-30T08:27:17.434Z","updated_at":"2021-09-30T11:29:40.110Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1474,"relation":"undefined"}],"grants":[{"id":7152,"fairsharing_record_id":1295,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:27.652Z","updated_at":"2021-09-30T09:28:27.652Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1296","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:16.000Z","updated_at":"2022-07-20T12:19:06.659Z","metadata":{"doi":"10.25504/FAIRsharing.dxcjn5","name":"Agroecology Knowledge Management","status":"ready","contacts":[{"contact_name":"GECO support","contact_email":"geco@irstea.fr"}],"homepage":"https://data.inrae.fr/dataset.xhtml?persistentId=doi:10.15454/1.4822495904463706E12","citations":[{"publication_id":2566}],"identifier":1296,"description":"Agroecology knowledge management is an application ontology for the description and organization of knowledge to design innovative crop systems.","abbreviation":"GECO","support_links":[{"url":"http://omv.ontoware.org/2005/05/ontology#documentation","name":"documentation","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000726","bsg-s000726"],"name":"FAIRsharing record for: Agroecology Knowledge Management","abbreviation":"GECO","url":"https://fairsharing.org/10.25504/FAIRsharing.dxcjn5","doi":"10.25504/FAIRsharing.dxcjn5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Agroecology knowledge management is an application ontology for the description and organization of knowledge to design innovative crop systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Agroecology","Knowledge and Information Systems"],"domains":["Cropping systems"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":2566,"pubmed_id":null,"title":"GECO, the French Web-based application for knowledge management in agroecology","year":2019,"url":"https://www.sciencedirect.com/science/article/abs/pii/S0168169917300492?via%3Dihub","authors":"Vincent Soulignac, François Pinet, Eva Lambert, Laurence Guichard, Luce Trouche, Sophie Aubin","journal":"Computers and Electronics in Agriculture Volume 162, July 2019, Pages 1050-1056","doi":null,"created_at":"2021-09-30T08:27:14.677Z","updated_at":"2021-09-30T08:27:14.677Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":850,"relation":"undefined"}],"grants":[{"id":7153,"fairsharing_record_id":1296,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:27.691Z","updated_at":"2021-09-30T09:28:27.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1297","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:47.100Z","metadata":{"doi":"10.25504/FAIRsharing.5744rq","name":"Sample processing and separations controlled vocabulary","status":"ready","contacts":[{"contact_name":"SEP Developers","contact_email":"psidev-gps-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/sepcv","identifier":1297,"description":"The sepCV is a controlled vocabulary for teminology associated with sample preparation and sample processing for proteomics. The sepCV was originally designed to provide terminology for the MIAPE GE reporting guidelines and the gelML data transfer format. It has now been expanded to include terminology for gel image informatics to support the MIAPE GI reporting guidelines and the GelInfoML data transfer format. In addition it includes relevant terminology for general sample processing to support the data transfer format of spML. The sepCV is beign jointly developed by the Proteomics Standards Intiative (PSI) and the Metabolomics Standards Intitative (MSI).","abbreviation":"sepCV","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"https://raw.githubusercontent.com/HUPO-PSI/gelml/master/CV/sep.obo","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SEP","name":"SEP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/sep.html","name":"sep","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000073","bsg-s000073"],"name":"FAIRsharing record for: Sample processing and separations controlled vocabulary","abbreviation":"sepCV","url":"https://fairsharing.org/10.25504/FAIRsharing.5744rq","doi":"10.25504/FAIRsharing.5744rq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The sepCV is a controlled vocabulary for teminology associated with sample preparation and sample processing for proteomics. The sepCV was originally designed to provide terminology for the MIAPE GE reporting guidelines and the gelML data transfer format. It has now been expanded to include terminology for gel image informatics to support the MIAPE GI reporting guidelines and the GelInfoML data transfer format. In addition it includes relevant terminology for general sample processing to support the data transfer format of spML. The sepCV is beign jointly developed by the Proteomics Standards Intiative (PSI) and the Metabolomics Standards Intitative (MSI).","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11424},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11933}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Sample preparation for assay","Material processing","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[],"licence_links":[],"grants":[{"id":7154,"fairsharing_record_id":1297,"organisation_id":1822,"relation":"maintains","created_at":"2021-09-30T09:28:27.722Z","updated_at":"2021-09-30T09:28:27.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7155,"fairsharing_record_id":1297,"organisation_id":1292,"relation":"maintains","created_at":"2021-09-30T09:28:27.759Z","updated_at":"2021-09-30T09:28:27.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":1292,"name":"HUPO-PSI initiative; Separation working group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1298","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:57:36.000Z","updated_at":"2022-12-13T10:24:09.482Z","metadata":{"doi":"10.25504/FAIRsharing.4PesRe","name":"StandardsRegExt: a VOResource Schema Extension for Describing IVOA Standards","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/StandardsRegExt/","citations":[{"publication_id":2958}],"identifier":1298,"description":"StandardsRegExt is an XML encoding standard for metadata about IVOA standards themselves, referred to as StandardsRegExt. It is intended to allow for the discovery of a standard via an IVOA identifier that refers to the standard. It also allows one to define concepts that are defined by the standard which can themselves be referred to via an IVOA identifier (augmented with a URL fragment identifier). Finally, it can also provide a machine interpretable description of a standard service interface. We describe the general model for the schema and explain its intended use by interoperable registries for discovering resources.","abbreviation":"StandardsRegExt","support_links":[{"url":"http://ivoa.net/documents/StandardsRegExt/20120508/REC-StandardsRegExt-1.0-20120508.html","name":"View Standard","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001199","bsg-s001199"],"name":"FAIRsharing record for: StandardsRegExt: a VOResource Schema Extension for Describing IVOA Standards","abbreviation":"StandardsRegExt","url":"https://fairsharing.org/10.25504/FAIRsharing.4PesRe","doi":"10.25504/FAIRsharing.4PesRe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: StandardsRegExt is an XML encoding standard for metadata about IVOA standards themselves, referred to as StandardsRegExt. It is intended to allow for the discovery of a standard via an IVOA identifier that refers to the standard. It also allows one to define concepts that are defined by the standard which can themselves be referred to via an IVOA identifier (augmented with a URL fragment identifier). Finally, it can also provide a machine interpretable description of a standard service interface. We describe the general model for the schema and explain its intended use by interoperable registries for discovering resources.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11461}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2958,"pubmed_id":null,"title":"StandardsRegExt: a VOResource Schema Extension for Describing IVOA Standards Version 1.0","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0508H","authors":"Harrison, Paul; Burke, Douglas; Plante, Ray; Rixon, Guy; Morris, Dave; IVOA Registry Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.558Z","updated_at":"2021-09-30T08:28:04.558Z"}],"licence_links":[],"grants":[{"id":7156,"fairsharing_record_id":1298,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:27.802Z","updated_at":"2021-09-30T09:28:27.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7157,"fairsharing_record_id":1298,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:27.840Z","updated_at":"2021-09-30T09:28:27.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1299","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T20:15:13.000Z","updated_at":"2022-12-13T09:41:01.389Z","metadata":{"doi":"10.25504/FAIRsharing.WQLolR","name":"HEALPix Multi-Order Coverage Map","status":"ready","contacts":[{"contact_name":"IVOA Applications Working Group","contact_email":"apps@ivoa.net"}],"homepage":"http://ivoa.net/documents/MOC/index.html","citations":[{"publication_id":2931}],"identifier":1299,"description":"This document describes the Multi-Order Coverage map method (MOC) to specify arbitrary sky regions. The goal is to be able to provide a very fast comparison mechanism between coverage maps. The mechanism is based on the HEALPix sky tessellation algorithm. It is essentially a simple way to map regions of the sky into hierarchically grouped predefined cells. The encoding method described in this document allows one to define and manipulate any region of the sky in such a way that basic operations like union, intersection, equality test can be performed very efficiently. It is dedicated to Virtual Observatory (VO) applications or VO data servers for building efficient procedures for which mapping knowledge is required like generic catalog cross-match, computation of data set intersections, or similar operations.","abbreviation":"MOC","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/MocInfo","name":"MOC Wiki","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-001145","bsg-s001145"],"name":"FAIRsharing record for: HEALPix Multi-Order Coverage Map","abbreviation":"MOC","url":"https://fairsharing.org/10.25504/FAIRsharing.WQLolR","doi":"10.25504/FAIRsharing.WQLolR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document describes the Multi-Order Coverage map method (MOC) to specify arbitrary sky regions. The goal is to be able to provide a very fast comparison mechanism between coverage maps. The mechanism is based on the HEALPix sky tessellation algorithm. It is essentially a simple way to map regions of the sky into hierarchically grouped predefined cells. The encoding method described in this document allows one to define and manipulate any region of the sky in such a way that basic operations like union, intersection, equality test can be performed very efficiently. It is dedicated to Virtual Observatory (VO) applications or VO data servers for building efficient procedures for which mapping knowledge is required like generic catalog cross-match, computation of data set intersections, or similar operations.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11466}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2931,"pubmed_id":null,"title":"MOC - HEALPix Multi-Order Coverage map Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.0602F","authors":"Fernique, Pierre; Boch, Thomas; Donaldson, Tom; Durand, Daniel; O'Mullane, Wil; Reinecke, Martin; Taylor, Mark","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.134Z","updated_at":"2021-09-30T08:28:01.134Z"}],"licence_links":[],"grants":[{"id":7159,"fairsharing_record_id":1299,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:27.936Z","updated_at":"2021-09-30T09:28:27.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7158,"fairsharing_record_id":1299,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:27.894Z","updated_at":"2021-09-30T09:28:27.894Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1280","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:37:52.718Z","metadata":{"doi":"10.25504/FAIRsharing.q72e3w","name":"Short Read Archive eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"Data submission help email","contact_email":"datasubs@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/ena/submit/read-xml-format-1-5","identifier":1280,"description":"The SRA data model contains the following objects: Study: information about the sequencing project Sample: information about the sequenced samples Experiment: information about the libraries, platform; associated with study, sample(s) and run(s) Run: contains the raw data files Analysis: contains the analysis data files; associated with study, sample and run objects Submission: information about the submission actions include release date. It is used by The Sequence Read Archive (SRA) and the European Nucleotide Archive (ENA) to store raw sequencing data from the next generation of sequencing platforms including Roche 454 GS System, Illumina Genome Analyzer, Applied Biosystems SOLiD System, Helicos Heliscope, Complete Genomics, and Pacific Biosciences SMRT. Please note that the SRA-XML webpage states that \"This page has been deprecated and may be removed without further notice.\"","abbreviation":"SRA-XML","support_links":[{"url":"https://www.ebi.ac.uk/ena/submit/read-data-format#metadata_format","name":"SRA XML Metadata Format 1.5","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-000084","bsg-s000084"],"name":"FAIRsharing record for: Short Read Archive eXtensible Markup Language","abbreviation":"SRA-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.q72e3w","doi":"10.25504/FAIRsharing.q72e3w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SRA data model contains the following objects: Study: information about the sequencing project Sample: information about the sequenced samples Experiment: information about the libraries, platform; associated with study, sample(s) and run(s) Run: contains the raw data files Analysis: contains the analysis data files; associated with study, sample and run objects Submission: information about the submission actions include release date. It is used by The Sequence Read Archive (SRA) and the European Nucleotide Archive (ENA) to store raw sequencing data from the next generation of sequencing platforms including Roche 454 GS System, Illumina Genome Analyzer, Applied Biosystems SOLiD System, Helicos Heliscope, Complete Genomics, and Pacific Biosciences SMRT. Please note that the SRA-XML webpage states that \"This page has been deprecated and may be removed without further notice.\"","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11190},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11937},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12399}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science","Transcriptomics"],"domains":["Nucleic acid sequence","DNA sequence data","Assay","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":934,"relation":"undefined"}],"grants":[{"id":7129,"fairsharing_record_id":1280,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:26.785Z","updated_at":"2021-09-30T09:28:26.785Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1281","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:46.850Z","metadata":{"doi":"10.25504/FAIRsharing.avw5q","name":"Collaborative Computing Project for NMR","status":"ready","contacts":[{"contact_name":"Tim Stevens","contact_email":"tjs23@mole.bio.cam.ac.uk"}],"homepage":"http://www.ccpn.ac.uk/software/extras/datamodelfolder/datamodel","identifier":1281,"description":"The CCPN Data Model for macromolecular NMR is intended to cover all data needed for macromolecular NMR spectroscopy from the initial experimental data to the final validation. It serves for exchange of data between programs, for storage, data harvesting, and database deposition. The data model proper is an abstract description of the relevant data and their relationships - it is implemented in the modeling language UML. From this CCPN autogenerates interfaces (APIs) for various languages, format description and I/O routines, and documentation.","abbreviation":"CCPN data model","support_links":[{"url":"http://www.ccpn.ac.uk/v2-software/software/tutorials","type":"Help documentation"},{"url":"https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=CCPNMR","type":"Mailing list"},{"url":"https://sites.google.com/site/ccpnwiki/Home/","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000284","bsg-s000284"],"name":"FAIRsharing record for: Collaborative Computing Project for NMR","abbreviation":"CCPN data model","url":"https://fairsharing.org/10.25504/FAIRsharing.avw5q","doi":"10.25504/FAIRsharing.avw5q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CCPN Data Model for macromolecular NMR is intended to cover all data needed for macromolecular NMR spectroscopy from the initial experimental data to the final validation. It serves for exchange of data between programs, for storage, data harvesting, and database deposition. The data model proper is an abstract description of the relevant data and their relationships - it is implemented in the modeling language UML. From this CCPN autogenerates interfaces (APIs) for various languages, format description and I/O routines, and documentation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Molecular entity","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1722,"pubmed_id":15613391,"title":"A framework for scientific data modeling and automated software development.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bti234","authors":"Fogh RH,Boucher W,Vranken WF,Pajon A,Stevens TJ,Bhat TN,Westbrook J,Ionides JM,Laue ED","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti234","created_at":"2021-09-30T08:25:32.965Z","updated_at":"2021-09-30T08:25:32.965Z"}],"licence_links":[],"grants":[{"id":7130,"fairsharing_record_id":1281,"organisation_id":2756,"relation":"maintains","created_at":"2021-09-30T09:28:26.811Z","updated_at":"2021-09-30T09:28:26.811Z","grant_id":null,"is_lead":false,"saved_state":{"id":2756,"name":"The Collaborative Computing Project for NMR (CCPN), Cambridge, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1292","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:17:10.543Z","metadata":{"doi":"10.25504/FAIRsharing.8ntfwm","name":"Standards for Reporting Enzymology Data Guidelines","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"strenda@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/strenda/guidelines","citations":[{"doi":"10.1016/j.pisc.2014.02.012","pubmed_id":null,"publication_id":1303},{"doi":"10.1111/febs.14427","pubmed_id":29498804,"publication_id":2613}],"identifier":1292,"description":"STRENDA stands for “Standards for Reporting Enzymology Data”. For researchers it is essential to be able to compare, evaluate, interpret and reproduce experimental research results published in the literature and databases. Thus, for enzyme research, the STRENDA Commission has established standards for data reporting with the aim to improve the quality of data published in the scientific literature. The STRENDA Guidelines were developed through extensive interactions with the biochemistry community to define the minimum information that is needed to correctly describe assay conditions (List Level 1A) and enzyme activity data (List Level 1B). However, STRENDA aims neither to dictate or limit the experimental techniques used in enzymology experiments nor to establish a metric for judging the quality of experimental data, but to ensure that data sets are complete and validated, allowing scientists to review, reuse and verify them. The emphasis is on providing useful and reliable information. With the aim to support authors to comprehensively report kinetic and equilibrium data from their investigations of enzyme activities, currently more than 55 international biochemistry journals already included the STRENDA Guidelines in their Instructions for Authors. The STRENDA Commission is continuously consulting the wider science community, reports the progress of its work and discusses new approaches regularly at the Beilstein Enzymology Symposia and in scientific journals.","abbreviation":"STRENDA","support_links":[{"url":"strenda@beilstein-institut.de","type":"Support email"},{"url":"http://mibbi.sf.net/projects/STRENDA.shtml","type":"Help documentation"},{"url":"http://www.beilstein-institut.de/en/projects/strenda/guidelines","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000169","bsg-s000169"],"name":"FAIRsharing record for: Standards for Reporting Enzymology Data Guidelines","abbreviation":"STRENDA","url":"https://fairsharing.org/10.25504/FAIRsharing.8ntfwm","doi":"10.25504/FAIRsharing.8ntfwm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STRENDA stands for “Standards for Reporting Enzymology Data”. For researchers it is essential to be able to compare, evaluate, interpret and reproduce experimental research results published in the literature and databases. Thus, for enzyme research, the STRENDA Commission has established standards for data reporting with the aim to improve the quality of data published in the scientific literature. The STRENDA Guidelines were developed through extensive interactions with the biochemistry community to define the minimum information that is needed to correctly describe assay conditions (List Level 1A) and enzyme activity data (List Level 1B). However, STRENDA aims neither to dictate or limit the experimental techniques used in enzymology experiments nor to establish a metric for judging the quality of experimental data, but to ensure that data sets are complete and validated, allowing scientists to review, reuse and verify them. The emphasis is on providing useful and reliable information. With the aim to support authors to comprehensively report kinetic and equilibrium data from their investigations of enzyme activities, currently more than 55 international biochemistry journals already included the STRENDA Guidelines in their Instructions for Authors. The STRENDA Commission is continuously consulting the wider science community, reports the progress of its work and discusses new approaches regularly at the Beilstein Enzymology Symposia and in scientific journals.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11148},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11571},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11710},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11951}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Enzymology","Life Science"],"domains":["Michaelis constant","Inhibitory constant","Catalytic activity","Enzyme","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1107,"pubmed_id":20956966,"title":"A large-scale protein-function database","year":2010,"url":"http://doi.org/10.1038/nchembio.460","authors":"Apweiler R, Armstrong R, Bairoch A, Cornish-Bowden A, Halling PJ, Hofmeyr JH, Kettner C, Leyh TS, Rohwer J, Schomburg D, Steinbeck C, Tipton K.","journal":"Nat Chem Biol.","doi":"10.1038/nchembio.460.","created_at":"2021-09-30T08:24:22.656Z","updated_at":"2021-09-30T08:24:22.656Z"},{"id":1303,"pubmed_id":null,"title":"Standards for Reporting Enzyme Data: The STRENDA Consortium: What it aims to do and why it should be helpful","year":2014,"url":"http://doi.org/10.1016/j.pisc.2014.02.012","authors":"Keith F. Tipton, Richard N. Armstrong, Barbara M. Bakker, Amos Bairoch, Athel Cornish-Bowden, Peter J. Halling, Jan-Hendrik Hofmeyr, Thomas S. Leyh, Carsten Kettner, Frank M. Raushel, Johann Rohwer, Dietmar Schomburg, Christoph Steinbeck","journal":"Perspectives in Science","doi":"10.1016/j.pisc.2014.02.012","created_at":"2021-09-30T08:24:45.500Z","updated_at":"2021-09-30T08:24:45.500Z"},{"id":1990,"pubmed_id":15653320,"title":"The importance of uniformity in reporting protein-function data.","year":2005,"url":"http://doi.org/10.1016/j.tibs.2004.11.002","authors":"Apweiler R, Cornish-Bowden A, Hofmeyr JH, Kettner C, Leyh TS, Schomburg D, Tipton K","journal":"Trends Biochem Sci","doi":"10.1016/j.tibs.2004.11.002","created_at":"2021-09-30T08:26:04.009Z","updated_at":"2021-09-30T08:26:04.009Z"},{"id":2613,"pubmed_id":29498804,"title":"STRENDA DB: enabling the validation and sharing of enzyme kinetics data","year":1966,"url":"https://www.ncbi.nlm.nih.gov/pubmed/29498804","authors":"Swainston, N., et al.","journal":"The FEBS J.","doi":"10.1111/febs.14427","created_at":"2021-09-30T08:27:20.795Z","updated_at":"2021-09-30T08:27:20.795Z"},{"id":3452,"pubmed_id":30195215,"title":"An empirical analysis of enzyme function reporting for experimental reproducibility: Missing/incomplete information in published papers","year":2018,"url":"http://doi.org/10.1016/j.bpc.2018.08.004","authors":"Halling, P., Fitzpatrick, P.F., Raushel, F.M., Rohwer, J., Schnell, S., Wittig, U., Wohlgemuth, R., Kettner, C.","journal":"Biophys. Chem.","doi":"10.1016/j.bpc.2018.08.004","created_at":"2022-06-27T09:10:46.678Z","updated_at":"2022-06-27T09:10:46.678Z"}],"licence_links":[{"licence_name":"Beilstein Institute Privacy Policy","licence_id":66,"licence_url":"http://www.beilstein-institut.de/en/pricacy-policy","link_id":1845,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1846,"relation":"undefined"}],"grants":[{"id":7144,"fairsharing_record_id":1292,"organisation_id":2654,"relation":"maintains","created_at":"2021-09-30T09:28:27.375Z","updated_at":"2021-09-30T09:28:27.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":2654,"name":"STRENDA Commission","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7146,"fairsharing_record_id":1292,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:27.447Z","updated_at":"2021-09-30T09:28:27.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7145,"fairsharing_record_id":1292,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:27.413Z","updated_at":"2021-09-30T09:28:27.413Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWVU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--bfbeea52d2a379fa26f78155d792ed13f5c9b1e6/Logo_Beilstein_STRENDA_CMYK.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1293","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T20:01:28.000Z","updated_at":"2021-11-24T13:16:09.909Z","metadata":{"doi":"10.25504/FAIRsharing.c82136","name":"United States Geoscience Information Network Metadata Profile","status":"ready","contacts":[{"contact_name":"Stephen M. Richard","contact_email":"Steve.richard@usgin.org"}],"homepage":"http://usgin.github.io/usginspecs/USGIN_ISO_Metadata.htm","identifier":1293,"description":"The USGIN Metadata Profile describes recommended practices for using ISO19139 xml encoding of ISO 19115 and ISO 19119 metadata to describe a broad spectrum of geoscience resources. The document provides guidance for the population of ISO19139 encoded metadata documents to enable interoperability of catalog service clients with multiple servers conforming to this profile.","abbreviation":"USGIN Metadata Profile","support_links":[{"url":"metadata@usgin.org","name":"USGIN Metadata Team","type":"Support email"},{"url":"metadata@azgs.az.gov","name":"AZGS Metadata Team","type":"Support email"},{"url":"https://github.com/usgin/usginspecs","name":"GitHub Repository","type":"Github"}],"year_creation":2009},"legacy_ids":["bsg-001317","bsg-s001317"],"name":"FAIRsharing record for: United States Geoscience Information Network Metadata Profile","abbreviation":"USGIN Metadata Profile","url":"https://fairsharing.org/10.25504/FAIRsharing.c82136","doi":"10.25504/FAIRsharing.c82136","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The USGIN Metadata Profile describes recommended practices for using ISO19139 xml encoding of ISO 19115 and ISO 19119 metadata to describe a broad spectrum of geoscience resources. The document provides guidance for the population of ISO19139 encoded metadata documents to enable interoperability of catalog service clients with multiple servers conforming to this profile.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7149,"fairsharing_record_id":1293,"organisation_id":2954,"relation":"maintains","created_at":"2021-09-30T09:28:27.530Z","updated_at":"2021-09-30T09:28:27.530Z","grant_id":null,"is_lead":true,"saved_state":{"id":2954,"name":"United States Geoscience Information Network (USGIN),","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7147,"fairsharing_record_id":1293,"organisation_id":3171,"relation":"maintains","created_at":"2021-09-30T09:28:27.479Z","updated_at":"2021-09-30T09:28:27.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":3171,"name":"USGIN Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7148,"fairsharing_record_id":1293,"organisation_id":112,"relation":"maintains","created_at":"2021-09-30T09:28:27.503Z","updated_at":"2021-09-30T09:28:27.503Z","grant_id":null,"is_lead":false,"saved_state":{"id":112,"name":"Arizona Geological Survey (AZGS), University of Arizona, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1294","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:26:32.000Z","updated_at":"2023-06-02T15:09:34.281Z","metadata":{"doi":"10.25504/FAIRsharing.GOZFxU","name":"Signal theory and processing vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/SN8/en/","citations":[],"identifier":1294,"description":"Vocabulary used for indexing bibliographical records dealing with the field \"Signal theory and processing\" in the PASCAL database, until 2014. This resource contains 2483 entries in 3 languages (English, French, and Spanish), grouped in 84 collections.","abbreviation":null,"year_creation":2018},"legacy_ids":["bsg-001414","bsg-s001414"],"name":"FAIRsharing record for: Signal theory and processing vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.GOZFxU","doi":"10.25504/FAIRsharing.GOZFxU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Vocabulary used for indexing bibliographical records dealing with the field \"Signal theory and processing\" in the PASCAL database, until 2014. This resource contains 2483 entries in 3 languages (English, French, and Spanish), grouped in 84 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11301}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Signal processing","Signal theory"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":595,"relation":"undefined"}],"grants":[{"id":7150,"fairsharing_record_id":1294,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:27.563Z","updated_at":"2021-09-30T09:28:27.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7151,"fairsharing_record_id":1294,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:27.610Z","updated_at":"2021-09-30T09:28:27.610Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1282","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-27T12:56:27.191Z","metadata":{"doi":"10.25504/FAIRsharing.h6c48k","name":"KEGG Mark-up Language","status":"ready","contacts":[{"contact_name":"Clemens Wrzodek","contact_email":"clemens.wrzodek@uni-tuebingen.de"}],"homepage":"http://www.genome.jp/kegg/xml/","citations":[],"identifier":1282,"description":"The KEGG Markup Language (KGML) is an exchange format of the KEGG pathway maps, which is converted from internally used KGML+ (KGML+SVG) format. KGML enables automatic drawing of KEGG pathways and provides facilities for computational analysis and modeling of gene/protein networks and chemical networks.","abbreviation":"KGML","support_links":[{"url":"http://www.genome.jp/feedback/","type":"Contact form"}]},"legacy_ids":["bsg-000282","bsg-s000282"],"name":"FAIRsharing record for: KEGG Mark-up Language","abbreviation":"KGML","url":"https://fairsharing.org/10.25504/FAIRsharing.h6c48k","doi":"10.25504/FAIRsharing.h6c48k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The KEGG Markup Language (KGML) is an exchange format of the KEGG pathway maps, which is converted from internally used KGML+ (KGML+SVG) format. KGML enables automatic drawing of KEGG pathways and provides facilities for computational analysis and modeling of gene/protein networks and chemical networks.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11180},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12081},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16938}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Japan"],"publications":[{"id":1828,"pubmed_id":21700675,"title":"KEGGtranslator: visualizing and converting the KEGG PATHWAY database to various formats.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr377","authors":"Wrzodek C,Drager A,Zell A","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr377","created_at":"2021-09-30T08:25:45.330Z","updated_at":"2021-09-30T08:25:45.330Z"}],"licence_links":[],"grants":[{"id":7131,"fairsharing_record_id":1282,"organisation_id":1621,"relation":"maintains","created_at":"2021-09-30T09:28:26.835Z","updated_at":"2021-09-30T09:28:26.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":1621,"name":"Kanehisa Laboratories, Kyoto, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1283","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:55.135Z","metadata":{"doi":"10.25504/FAIRsharing.pa6njw","name":"Student Health Record","status":"deprecated","contacts":[{"contact_name":"Hassan Shojaee","contact_email":"shojaee@gmu.ac.ir"}],"homepage":"http://bioportal.bioontology.org/ontologies/1665","identifier":1283,"description":"The goal of the SHR project is to develop an ontology for the description of student health records. Student health records are created for entering college students in order to provide better health services will be formed. This file contains various sections such as history of disease, family history of disease and public examinations.","abbreviation":"SHR","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SHR","name":"SHR","portal":"BioPortal"}],"deprecation_date":"2016-05-03","deprecation_reason":"This resource is inactive, and current information cannot be retrieved."},"legacy_ids":["bsg-002752","bsg-s002752"],"name":"FAIRsharing record for: Student Health Record","abbreviation":"SHR","url":"https://fairsharing.org/10.25504/FAIRsharing.pa6njw","doi":"10.25504/FAIRsharing.pa6njw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the SHR project is to develop an ontology for the description of student health records. Student health records are created for entering college students in order to provide better health services will be formed. This file contains various sections such as history of disease, family history of disease and public examinations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Iran"],"publications":[{"id":1782,"pubmed_id":null,"title":"Ontology for Student Health Record","year":2014,"url":"https://www.researchgate.net/publication/308113683_Ontology_for_Student_Health_Record","authors":"Shojaee-Mend H and Ghayour-Razmgah G","journal":"Academy of Business and Scientific Research","doi":null,"created_at":"2021-09-30T08:25:39.996Z","updated_at":"2021-09-30T11:28:33.277Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1284","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-23T17:46:35.654Z","metadata":{"doi":"10.25504/FAIRsharing.2yv5sa","name":"Clustered Data Table Format","status":"ready","contacts":[],"homepage":"https://puma.princeton.edu/help/formats.shtml#cdt","citations":[],"identifier":1284,"description":"This is a data table format used in the PUMAdb workflow to transform a .pcl file into a .cdt (clustered data table) file which contains the original data, but reordered, to reflect the clustering.","abbreviation":null,"support_links":[{"url":"array@princeton.edu","type":"Support email"},{"url":"https://puma.princeton.edu/index.shtml","name":"About PUMAdb","type":"Other"}],"year_creation":2004},"legacy_ids":["bsg-000244","bsg-s000244"],"name":"FAIRsharing record for: Clustered Data Table Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2yv5sa","doi":"10.25504/FAIRsharing.2yv5sa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a data table format used in the PUMAdb workflow to transform a .pcl file into a .cdt (clustered data table) file which contains the original data, but reordered, to reflect the clustering.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Clustering","Gene"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"PUMAdb Privacy Policy","licence_id":690,"licence_url":"https://puma.princeton.edu/privacy.shtml","link_id":3103,"relation":"applies_to_content"}],"grants":[{"id":7133,"fairsharing_record_id":1284,"organisation_id":2357,"relation":"maintains","created_at":"2021-09-30T09:28:26.899Z","updated_at":"2023-02-23T15:54:03.539Z","grant_id":null,"is_lead":true,"saved_state":{"id":2357,"name":"Princeton University, NJ, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1285","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.292Z","metadata":{"doi":"10.25504/FAIRsharing.ct3xa3","name":"Plant Structure Development Stage","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"po-discuss@plantontology.org"}],"homepage":"http://browser.planteome.org/amigo/term/PO:0009012#display-lineage-tab","identifier":1285,"description":"A controlled vocabulary of growth and developmental stages in various plants. Note that this has been subsumed into the Plant Ontology (PO).","abbreviation":"PO PSDS","support_links":[{"url":"http://planteome.org/contact","type":"Mailing list"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PSDS","name":"PSDS","portal":"BioPortal"}],"deprecation_date":"2015-12-23","deprecation_reason":"REPLACED BY: Plant Ontology (PO). A controlled vocabulary of growth and developmental stages in various plants. This standard has been subsumed into the Plant Ontology (PO) - http://www.plantontology.org - https://biosharing.org/bsg-000633."},"legacy_ids":["bsg-002604","bsg-s002604"],"name":"FAIRsharing record for: Plant Structure Development Stage","abbreviation":"PO PSDS","url":"https://fairsharing.org/10.25504/FAIRsharing.ct3xa3","doi":"10.25504/FAIRsharing.ct3xa3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary of growth and developmental stages in various plants. Note that this has been subsumed into the Plant Ontology (PO).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Structure","Life cycle","Life cycle stage"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1809,"pubmed_id":18194960,"title":"The Plant Ontology Database: a community resource for plant structure and developmental stages controlled vocabulary and annotations.","year":2008,"url":"http://doi.org/10.1093/nar/gkm908","authors":"Avraham S,Tung CW,Ilic K,Jaiswal P,Kellogg EA,McCouch S,Pujar A,Reiser L,Rhee SY,Sachs MM,Schaeffer M,Stein L,Stevens P,Vincent L,Zapata F,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm908","created_at":"2021-09-30T08:25:43.061Z","updated_at":"2021-09-30T11:29:21.185Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1616,"relation":"undefined"},{"licence_name":"Planteome Disclaimer","licence_id":671,"licence_url":"http://planteome.org/disclaimer","link_id":1615,"relation":"undefined"}],"grants":[{"id":7135,"fairsharing_record_id":1285,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:26.971Z","updated_at":"2021-09-30T09:28:26.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7134,"fairsharing_record_id":1285,"organisation_id":2336,"relation":"maintains","created_at":"2021-09-30T09:28:26.939Z","updated_at":"2021-09-30T09:28:26.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2336,"name":"PO Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1277","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T10:07:03.000Z","updated_at":"2022-07-19T16:58:55.120Z","metadata":{"doi":"10.25504/FAIRsharing.b5cc91","name":"Extensible Markup Language","status":"ready","contacts":[{"contact_name":"Tim Bray","contact_email":"tbray@textuality.com"}],"homepage":"https://www.w3.org/TR/xml/","citations":[],"identifier":1277,"description":"The Extensible Markup Language (XML) describes a class of data objects called XML documents and partially describes the behavior of computer programs which process them. XML is an application profile or restricted form of SGML, the Standard Generalized Markup Language [ISO 8879]. By construction, XML documents are conforming SGML documents. XML documents are made up of storage units called entities, which contain either parsed or unparsed data. Parsed data is made up of characters, some of which form character data, and some of which form markup. Markup encodes a description of the document's storage layout and logical structure. XML provides a mechanism to impose constraints on the storage layout and logical structure.","abbreviation":"XML","support_links":[{"url":"xml-editor@w3.org","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/XML","name":"XML - Wikipedia","type":"Wikipedia"}],"year_creation":2008},"legacy_ids":["bsg-001143","bsg-s001143"],"name":"FAIRsharing record for: Extensible Markup Language","abbreviation":"XML","url":"https://fairsharing.org/10.25504/FAIRsharing.b5cc91","doi":"10.25504/FAIRsharing.b5cc91","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Extensible Markup Language (XML) describes a class of data objects called XML documents and partially describes the behavior of computer programs which process them. XML is an application profile or restricted form of SGML, the Standard Generalized Markup Language [ISO 8879]. By construction, XML documents are conforming SGML documents. XML documents are made up of storage units called entities, which contain either parsed or unparsed data. Parsed data is made up of characters, some of which form character data, and some of which form markup. Markup encodes a description of the document's storage layout and logical structure. XML provides a mechanism to impose constraints on the storage layout and logical structure.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18267},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12124}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Structured data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1473,"relation":"undefined"}],"grants":[{"id":7124,"fairsharing_record_id":1277,"organisation_id":3211,"relation":"maintains","created_at":"2021-09-30T09:28:26.641Z","updated_at":"2021-09-30T09:28:26.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":3211,"name":"W3C XML Core Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1278","type":"fairsharing_records","attributes":{"created_at":"2018-02-09T14:13:16.000Z","updated_at":"2022-07-20T10:42:13.824Z","metadata":{"doi":"10.25504/FAIRsharing.ae8hpt","name":"Descriptive Ontology for Linguistic and Cognitive Engineering","status":"ready","contacts":[{"contact_email":"nicola.guarino@loa.istc.cnr.it"}],"homepage":"http://www.loa.istc.cnr.it/dolce/overview.html","citations":[],"identifier":1278,"description":"DOLCE (Descriptive Ontology for Linguistic and Cognitive Engineering) is a foundational ontology developed as part of the WonderWeb Foundational Ontologies Library (WFOL). The development of this library has been guided by the need of a reliable set of foundational ontologies that can serve as 1) astarting point for building other ontologies, 2) a reference point for easy and rigorous comparisons among different ontological approaches, and 3) a rigorous basis for analyzing, harmonizing and integrating existing ontologies and metadata standards (by manually mapping them into some general module(s) in the library). DOLCE is the first module of WFOL and it is not a candidate for a universal standard ontology. Rather, it is intended as a starting point for comparing and elucidating the relationships with the other modules of the library, and also for clarifying the hidden assumptions underlying existing ontologies or linguistic resources such as WordNet. As reflected by its acronym, DOLCE has a clear cognitive bias, in the sense that it aims at capturing the ontological categories underlying natural language and human commonsense. DOLCE is an ontology that focuses on particulars in the sense that its domain of discourse is restricted to them. The project is complete, though the ontology remains available for use.","abbreviation":"DOLCE","support_links":[{"url":"https://cordis.europa.eu/result/rcn/41438_en.html","name":"WONDERWEB Report Summary: DOLCE","type":"Help documentation"},{"url":"http://wonderweb.man.ac.uk/deliverables/documents/D18.pdf","name":"WonderWeb Deliverable D18 Ontology Library (final)","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-001128","bsg-s001128"],"name":"FAIRsharing record for: Descriptive Ontology for Linguistic and Cognitive Engineering","abbreviation":"DOLCE","url":"https://fairsharing.org/10.25504/FAIRsharing.ae8hpt","doi":"10.25504/FAIRsharing.ae8hpt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DOLCE (Descriptive Ontology for Linguistic and Cognitive Engineering) is a foundational ontology developed as part of the WonderWeb Foundational Ontologies Library (WFOL). The development of this library has been guided by the need of a reliable set of foundational ontologies that can serve as 1) astarting point for building other ontologies, 2) a reference point for easy and rigorous comparisons among different ontological approaches, and 3) a rigorous basis for analyzing, harmonizing and integrating existing ontologies and metadata standards (by manually mapping them into some general module(s) in the library). DOLCE is the first module of WFOL and it is not a candidate for a universal standard ontology. Rather, it is intended as a starting point for comparing and elucidating the relationships with the other modules of the library, and also for clarifying the hidden assumptions underlying existing ontologies or linguistic resources such as WordNet. As reflected by its acronym, DOLCE has a clear cognitive bias, in the sense that it aims at capturing the ontological categories underlying natural language and human commonsense. DOLCE is an ontology that focuses on particulars in the sense that its domain of discourse is restricted to them. The project is complete, though the ontology remains available for use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Computer Science","Subject Agnostic","Linguistics"],"domains":["Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[],"licence_links":[],"grants":[{"id":7126,"fairsharing_record_id":1278,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:26.712Z","updated_at":"2021-09-30T09:32:26.920Z","grant_id":1624,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP5-IST","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7125,"fairsharing_record_id":1278,"organisation_id":1667,"relation":"maintains","created_at":"2021-09-30T09:28:26.680Z","updated_at":"2022-02-09T11:29:04.273Z","grant_id":null,"is_lead":true,"saved_state":{"id":1667,"name":"Laboratory for Applied Ontology, CNR, Italy","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1279","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:35:08.767Z","metadata":{"doi":"10.25504/FAIRsharing.8z3xzh","name":"Minimum Information about a Molecular Interaction Experiment","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"psi-mi@ebi.ac.uk"}],"homepage":"https://www.psidev.info/mimix","citations":[{"doi":"10.1038/nbt1324","pubmed_id":17687370,"publication_id":2402}],"identifier":1279,"description":"MIMIx is a community guideline advising the user on how to fully describe a molecular interaction experiment and which information it is important to capture. The document is designed as a compromise between the necessary depth of information to describe all relevant aspects of the interaction experiment, and the reporting burden placed on the scientist generating the data.","abbreviation":"MIMIx","support_links":[{"url":"http://www.psidev.info/groups/molecular-interactions/documents","name":"HUPO-PSI related documents","type":"Help documentation"}],"year_creation":2007,"associated_tools":[{"url":"https://www.ebi.ac.uk/intact/validator/start.xhtml","name":"PSI-MI Validator"},{"url":"https://github.com/PSICQUIC","name":"PSICQUIC"}]},"legacy_ids":["bsg-000179","bsg-s000179"],"name":"FAIRsharing record for: Minimum Information about a Molecular Interaction Experiment","abbreviation":"MIMIx","url":"https://fairsharing.org/10.25504/FAIRsharing.8z3xzh","doi":"10.25504/FAIRsharing.8z3xzh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIMIx is a community guideline advising the user on how to fully describe a molecular interaction experiment and which information it is important to capture. The document is designed as a compromise between the necessary depth of information to describe all relevant aspects of the interaction experiment, and the reporting burden placed on the scientist generating the data.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11161},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11436},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11593},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11717}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Proteomics","Life Science"],"domains":["Deoxyribonucleic acid","Lipid","Chemical entity","Interactome","Molecular interaction","Assay","Protein"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["Austria","Canada","France","Germany","Italy","Singapore","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":2402,"pubmed_id":17687370,"title":"The minimum information required for reporting a molecular interaction experiment (MIMIx).","year":2007,"url":"http://doi.org/10.1038/nbt1324","authors":"Orchard S,Salwinski L,Kerrien S et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt1324","created_at":"2021-09-30T08:26:54.868Z","updated_at":"2021-09-30T08:26:54.868Z"}],"licence_links":[],"grants":[{"id":7127,"fairsharing_record_id":1279,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:26.735Z","updated_at":"2021-09-30T09:28:26.735Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7128,"fairsharing_record_id":1279,"organisation_id":1076,"relation":"maintains","created_at":"2021-09-30T09:28:26.761Z","updated_at":"2021-09-30T09:28:26.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":1076,"name":"Functional Genomics Group, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1286","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:50:48.986Z","metadata":{"doi":"10.25504/FAIRsharing.dpkb5f","name":"Semanticscience Integrated Ontology","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com","contact_orcid":"0000-0003-4727-9435"}],"homepage":"https://github.com/MaastrichtU-IDS/semanticscience","citations":[{"doi":"10.1186/2041-1480-5-14","pubmed_id":24602174,"publication_id":1151}],"identifier":1286,"description":"The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. It provides vocabulary for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects.","abbreviation":"SIO","support_links":[{"url":"https://github.com/MaastrichtU-IDS/semanticscience/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SIO","name":"SIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002686","bsg-s002686"],"name":"FAIRsharing record for: Semanticscience Integrated Ontology","abbreviation":"SIO","url":"https://fairsharing.org/10.25504/FAIRsharing.dpkb5f","doi":"10.25504/FAIRsharing.dpkb5f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. It provides vocabulary for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11194},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16988}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science","Subject Agnostic"],"domains":["Knowledge representation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Japan","United States","European Union"],"publications":[{"id":1151,"pubmed_id":24602174,"title":"The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-14","authors":"Dumontier M, Baker CJ, Baran J, Callahan A, Chepelev L, Cruz-Toledo J, Del Rio NR, Duck G, Furlong LI, Keath N, Klassen D, McCusker JP, Queralt-Rosinach N, Samwald M, Villanueva-Rosales N, Wilkinson MD, Hoehndorf R.","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-14","created_at":"2021-09-30T08:24:27.966Z","updated_at":"2021-09-30T08:24:27.966Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1745,"relation":"undefined"}],"grants":[{"id":7136,"fairsharing_record_id":1286,"organisation_id":674,"relation":"maintains","created_at":"2021-09-30T09:28:27.008Z","updated_at":"2021-09-30T09:28:27.008Z","grant_id":null,"is_lead":false,"saved_state":{"id":674,"name":"Department of Biology, Carleton University, Ottawa, ON, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7137,"fairsharing_record_id":1286,"organisation_id":1739,"relation":"maintains","created_at":"2021-09-30T09:28:27.050Z","updated_at":"2021-09-30T09:28:27.050Z","grant_id":null,"is_lead":true,"saved_state":{"id":1739,"name":"Maastricht University (UM), Maastricht, The Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1390","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:01:28.560Z","metadata":{"doi":"10.25504/FAIRsharing.n7src9","name":"Minimum Information Required for A Glycomics Experiment - Mass Spectrometric Analysis","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/mirage/guidelines#mass_spectrometric_analysis","citations":[],"identifier":1390,"description":"MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. Researchers seeking to understand the biochemical structure–function relationships of carbohydrates require detailed descriptions of the assay conditions and the experimental results. Currently, these data are insufficiently reported in the literature. A basic description on the sample preparation workflow is required. In contrast to proteomics, different types of glycoconjugates require partially different release approaches, which in turn can have direct influence on the following conditions/parameters: released glycans or still attached to protein/lipid; type of glycan (N-glycan, O-glycan, proteoglycan fragment); and sample pre-treatment prior MS-Analyses (non, reduced, permethylated, endo/exoglycosidase digested, fluorescent label, online/offline LC-separation).","abbreviation":"MIRAGE MS","year_creation":2013},"legacy_ids":["bsg-000523","bsg-s000523"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Mass Spectrometric Analysis","abbreviation":"MIRAGE MS","url":"https://fairsharing.org/10.25504/FAIRsharing.n7src9","doi":"10.25504/FAIRsharing.n7src9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. Researchers seeking to understand the biochemical structure–function relationships of carbohydrates require detailed descriptions of the assay conditions and the experimental results. Currently, these data are insufficiently reported in the literature. A basic description on the sample preparation workflow is required. In contrast to proteomics, different types of glycoconjugates require partially different release approaches, which in turn can have direct influence on the following conditions/parameters: released glycans or still attached to protein/lipid; type of glycan (N-glycan, O-glycan, proteoglycan fragment); and sample pre-treatment prior MS-Analyses (non, reduced, permethylated, endo/exoglycosidase digested, fluorescent label, online/offline LC-separation).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12033}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Glycomics"],"domains":["Mass spectrum","Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","United Kingdom","United States"],"publications":[{"id":682,"pubmed_id":24653214,"title":"MIRAGE: The minimum information required for a glycomics experiment","year":2014,"url":"http://doi.org/10.1093/glycob/cwu018","authors":"York WS, Agravat S, Aoki-Kinoshita KF et al.","journal":"Glycobiology","doi":"10.1093/glycob/cwu018","created_at":"2021-09-30T08:23:35.195Z","updated_at":"2021-09-30T08:23:35.195Z"},{"id":2861,"pubmed_id":27654115,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: sample preparation guidelines for reliable reporting of glycomics datasets.","year":2016,"url":"http://doi.org/10.1093/glycob/cww082","authors":"Struwe WB,Agravat S,Aoki-Kinoshita KF,Campbell MP,Costello CE,Dell A,Ten Feizi,Haslam SM,Karlsson NG,Khoo KH,Kolarich D,Liu Y,McBride R,Novotny MV,Packer NH,Paulson JC,Rapp E,Ranzinger R,Rudd PM,Smith DF,Tiemeyer M,Wells L,York WS,Zaia J,Kettner C","journal":"Glycobiology","doi":"10.1093/glycob/cww082.","created_at":"2021-09-30T08:27:52.015Z","updated_at":"2021-09-30T08:27:52.015Z"},{"id":2868,"pubmed_id":23378518,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting mass-spectrometry-based glycoanalytic data","year":2013,"url":"http://doi.org/10.1074/mcp.O112.026492","authors":"Kolarich D, Rapp E, Struwe WB, Haslam SM, Zaia J, McBride R, Agravat S, Campbell MP, Kato M, Ranzinger R, Kettner C, York WS","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O112.026492","created_at":"2021-09-30T08:27:53.032Z","updated_at":"2021-09-30T08:27:53.032Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1327,"relation":"undefined"}],"grants":[{"id":7360,"fairsharing_record_id":1390,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:34.925Z","updated_at":"2021-09-30T09:28:34.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7357,"fairsharing_record_id":1390,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:34.845Z","updated_at":"2021-09-30T09:28:34.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7358,"fairsharing_record_id":1390,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:34.869Z","updated_at":"2021-09-30T09:28:34.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7361,"fairsharing_record_id":1390,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:34.963Z","updated_at":"2021-09-30T09:28:34.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7359,"fairsharing_record_id":1390,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:34.894Z","updated_at":"2021-09-30T09:28:53.816Z","grant_id":5,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","grant":"MIRAGE","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWU09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8df5a63d3423510fe1de540af356a00b0c6a87b0/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1391","type":"fairsharing_records","attributes":{"created_at":"2020-05-11T07:14:45.000Z","updated_at":"2022-07-20T12:31:09.423Z","metadata":{"doi":"10.25504/FAIRsharing.grL0zu","name":"ObjTables Schemas","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"https://www.objtables.org/docs#schema-formats","identifier":1391,"description":"ObjTables Schemas allow the creation of re-usable datasets that are both human and machine-readable, combining the ease of spreadsheets (e.g., Excel workbooks) with the rigour of schemas (classes, their attributes, the type of each attribute, and the possible relationships between instances of classes). ObjTables schemas can either be defined with a tabular format or with the ObjTables Python package. The tabular format is easy to use, and requires no programming. The tabular format supports most of the features of ObjTables, including a wide range of data types, relationships, transposed and embedded tables, single inheritance, and basic validation. The ObjTables Python package is more flexible. ObjTables is ideal for supplementary materials of journal article, as well as for emerging domains which need to quickly build new formats for new types of data and associated software with minimal effort.","abbreviation":"ObjTables Schemas","support_links":[{"url":"https://www.objtables.org/docs","name":"Examples and documentation","type":"Help documentation"},{"url":"https://docs.karrlab.org/obj_tables","name":"Documentation for the Python package","type":"Help documentation"},{"url":"https://sandbox.karrlab.org/tree/obj_tables","name":"Tutorials for the Python package","type":"Training documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://pypi.org/project/obj-tables/","name":"ObjTables command-line program and Python package 1.0.0"},{"url":"https://www.objtables.org/app","name":"ObjTables web application 1.0.0"}]},"legacy_ids":["bsg-001476","bsg-s001476"],"name":"FAIRsharing record for: ObjTables Schemas","abbreviation":"ObjTables Schemas","url":"https://fairsharing.org/10.25504/FAIRsharing.grL0zu","doi":"10.25504/FAIRsharing.grL0zu","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ObjTables Schemas allow the creation of re-usable datasets that are both human and machine-readable, combining the ease of spreadsheets (e.g., Excel workbooks) with the rigour of schemas (classes, their attributes, the type of each attribute, and the possible relationships between instances of classes). ObjTables schemas can either be defined with a tabular format or with the ObjTables Python package. The tabular format is easy to use, and requires no programming. The tabular format supports most of the features of ObjTables, including a wide range of data types, relationships, transposed and embedded tables, single inheritance, and basic validation. The ObjTables Python package is more flexible. ObjTables is ideal for supplementary materials of journal article, as well as for emerging domains which need to quickly build new formats for new types of data and associated software with minimal effort.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Quality","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["object-relational mapping","Structured data"],"countries":["France","Germany","United States"],"publications":[],"licence_links":[{"licence_name":"ObjTables MIT License","licence_id":607,"licence_url":"https://github.com/KarrLab/obj_tables/blob/master/LICENSE","link_id":1375,"relation":"undefined"}],"grants":[{"id":7365,"fairsharing_record_id":1391,"organisation_id":1627,"relation":"maintains","created_at":"2021-09-30T09:28:35.117Z","updated_at":"2021-09-30T09:28:35.117Z","grant_id":null,"is_lead":true,"saved_state":{"id":1627,"name":"Karr Lab, Institute for Multiscale Biology \u0026 Genomics, New York, NY, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":7362,"fairsharing_record_id":1391,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:34.996Z","updated_at":"2021-09-30T09:30:10.571Z","grant_id":585,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R35GM119771","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7364,"fairsharing_record_id":1391,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:35.076Z","updated_at":"2021-09-30T09:31:40.284Z","grant_id":1276,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1649014","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7363,"fairsharing_record_id":1391,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:28:35.034Z","updated_at":"2021-09-30T09:32:45.208Z","grant_id":1762,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41EB023912","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1392","type":"fairsharing_records","attributes":{"created_at":"2020-01-27T14:24:09.000Z","updated_at":"2022-07-20T12:19:06.938Z","metadata":{"doi":"10.25504/FAIRsharing.k7NfCn","name":"Wheat Trait Ontology","status":"ready","contacts":[{"contact_name":"Claire Nedellec","contact_email":"claire.nedellec@inrae.fr","contact_orcid":"0000-0002-0577-0595"}],"homepage":"https://doi.org/10.15454/1.4382637738008071E12","citations":[{"doi":"https://doi.org/10.5808/GI.2020.18.2.e14","publication_id":3005}],"identifier":1392,"description":"Wheat Trait Ontology is an ontology of wheat traits and environmental factors that affect these traits. They include resistance to disease, development, nutrition, bread quality, etc. Environmental factors include biotic and abiotic factors. An alternative title is the Wheat Phenotype Ontology.","abbreviation":"WTO","year_creation":2011},"legacy_ids":["bsg-001439","bsg-s001439"],"name":"FAIRsharing record for: Wheat Trait Ontology","abbreviation":"WTO","url":"https://fairsharing.org/10.25504/FAIRsharing.k7NfCn","doi":"10.25504/FAIRsharing.k7NfCn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Wheat Trait Ontology is an ontology of wheat traits and environmental factors that affect these traits. They include resistance to disease, development, nutrition, bread quality, etc. Environmental factors include biotic and abiotic factors. An alternative title is the Wheat Phenotype Ontology.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16731}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Plant Nutrition","Plant Breeding","Food Process Engineering","Agriculture"],"domains":["Food","Disease","Plant development stage"],"taxonomies":["Triticum aestivum"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3003,"pubmed_id":null,"title":"Information Extraction from Bibliography for Marker-Assisted Selection in Wheat","year":2014,"url":"https://doi.org/10.1007/978-3-319-13674-5_28","authors":"Claire Nédellec,Robert Bossy,Dialekti Valsamou,Marion Ranoux,Wiktoria Golik,Pierre Sourdille","journal":"Closs S., Studer R., Garoufallou E., Sicilia MA. (eds) Metadata and Semantics Research. MTSR 2014. Communications in Computer and Information Science, vol 478. Springer, Cham","doi":null,"created_at":"2021-09-30T08:28:10.240Z","updated_at":"2021-09-30T08:28:10.240Z"},{"id":3005,"pubmed_id":null,"title":"WTO, an ontology for wheat traits and phenotypes in scientific publications","year":2020,"url":"http://doi.org/https://doi.org/10.5808/GI.2020.18.2.e14","authors":"Claire Nédellec, Liliana Ibanescu, Robert Bossy, Pierre Sourdille","journal":"Genomics \u0026 Informatics","doi":"https://doi.org/10.5808/GI.2020.18.2.e14","created_at":"2021-09-30T08:28:10.516Z","updated_at":"2021-09-30T08:28:10.516Z"}],"licence_links":[{"licence_name":"Licence Ouverte / Open Licence Version 2.0 compatible CC BY 4.0","licence_id":488,"licence_url":"https://www.etalab.gouv.fr/licence-ouverte-open-licence","link_id":1981,"relation":"undefined"}],"grants":[{"id":7366,"fairsharing_record_id":1392,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:35.155Z","updated_at":"2021-09-30T09:28:35.155Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1393","type":"fairsharing_records","attributes":{"created_at":"2020-12-14T10:47:43.000Z","updated_at":"2022-07-20T10:05:06.757Z","metadata":{"doi":"10.25504/FAIRsharing.81dc5f","name":"UNESCO Thesaurus","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"vocabularies@unesco.org"}],"homepage":"http://vocabularies.unesco.org","citations":[],"identifier":1393,"description":"The UNESCO Thesaurus is a controlled and structured list of concepts used in subject analysis and retrieval of documents and publications in the fields of education, culture, natural sciences, social and human sciences, communication and information. Continuously enriched and updated, its multidisciplinary terminology reflects the evolution of UNESCO's programmes and activities. It is available in English, French, Spanish, Russian, and Arabic.","abbreviation":"UNESCO Thesaurus","support_links":[{"url":"https://lists.unesco.org/wws/subscribe/thesaurus-users","name":"Mailing List","type":"Mailing list"},{"url":"http://vocabularies.unesco.org/browser/en/about","name":"About","type":"Help documentation"},{"url":"http://vocabularies.unesco.org/documents/thesaurusintroeng.pdf","name":"Introduction to the UNESCO Thesaurus","type":"Help documentation"}],"year_creation":1977},"legacy_ids":["bsg-001565","bsg-s001565"],"name":"FAIRsharing record for: UNESCO Thesaurus","abbreviation":"UNESCO Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.81dc5f","doi":"10.25504/FAIRsharing.81dc5f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UNESCO Thesaurus is a controlled and structured list of concepts used in subject analysis and retrieval of documents and publications in the fields of education, culture, natural sciences, social and human sciences, communication and information. Continuously enriched and updated, its multidisciplinary terminology reflects the evolution of UNESCO's programmes and activities. It is available in English, French, Spanish, Russian, and Arabic.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Education Science","Subject Agnostic","Political Science","Communication Science"],"domains":["Report","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 IGO (CC BY-SA 3.0 IGO)","licence_id":192,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/igo/","link_id":2239,"relation":"undefined"}],"grants":[{"id":7367,"fairsharing_record_id":1393,"organisation_id":2925,"relation":"maintains","created_at":"2021-09-30T09:28:35.192Z","updated_at":"2021-09-30T09:28:35.192Z","grant_id":null,"is_lead":true,"saved_state":{"id":2925,"name":"United Nations Education, Scientific and Cultural Organization (UNESCO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1394","type":"fairsharing_records","attributes":{"created_at":"2020-06-12T13:01:10.000Z","updated_at":"2021-11-24T13:15:41.572Z","metadata":{"name":"Marinet2 metadata schema","status":"in_development","contacts":[{"contact_name":"Nikola Vasiljevic","contact_email":"niva@dtu.dk","contact_orcid":"0000-0002-9381-9693"}],"homepage":"https://github.com/Marinet2/metadata-schema","identifier":1394,"description":"Marinet2 metadata schema for data streams (i.e., variables) and datasets (collection of data streams) for preparing datasets in NetCDF format for publishing and preservation.","abbreviation":null,"support_links":[{"url":"https://github.com/Marinet2/metadata-schema","name":"Issue posting","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001497","bsg-s001497"],"name":"FAIRsharing record for: Marinet2 metadata schema","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/1394","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Marinet2 metadata schema for data streams (i.e., variables) and datasets (collection of data streams) for preparing datasets in NetCDF format for publishing and preservation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Maritime Engineering","Energy Engineering","Electrical Engineering","Earth Science","Atmospheric Science"],"domains":["Marine environment"],"taxonomies":[],"user_defined_tags":["wind energy"],"countries":["Denmark","France","Spain"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1867,"relation":"undefined"}],"grants":[{"id":7368,"fairsharing_record_id":1394,"organisation_id":1765,"relation":"maintains","created_at":"2021-09-30T09:28:35.234Z","updated_at":"2021-09-30T09:28:35.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":1765,"name":"Marinet2","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7369,"fairsharing_record_id":1394,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:35.273Z","updated_at":"2021-09-30T09:31:55.636Z","grant_id":1390,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"731084","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1363","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:35:32.174Z","metadata":{"doi":"10.25504/FAIRsharing.es03fk","name":"Nuclear Magnetic Resonance Markup Language","status":"ready","contacts":[{"contact_name":"Daniel Schober","contact_email":"info@nmrml.org","contact_orcid":"0000-0001-8014-6648"}],"homepage":"http://nmrml.org","citations":[],"identifier":1363,"description":"nmrML is an open markup language for NMR raw and spectral data. It is has recently seen its first proper release, ready for public use. The primary development of this standard, initiated by the Coordination of Standards in Metabolomics’ (COSMOS) project, is now maintained within the PhenoMeNal Eu project tasked to disseminate metabolomics data through life science e-infrastructures. The nmrML data standard is approved by the Metabolomics Standards Initiative (MSI) and was derived from an earlier nmrML that was developed by the Metabolomics Innovation Centre (TMIC). It follows design principles of its role model, the mzML data standard created by PSI for mass spectrometry.","abbreviation":"NMR-ML","support_links":[{"url":"https://groups.google.com/forum/?hl=en#!forum/nmrml/join","name":"nmrML Google Group","type":"Forum"},{"url":"https://github.com/nmrML/nmrML","name":"nmrML on GitHub","type":"Github"},{"url":"https://github.com/nmrML/nmrML/wiki","name":"nmrML Wiki","type":"Github"},{"url":"http://nmrml.org/examples/","name":"nmrML Examples","type":"Help documentation"},{"url":"http://nmrml.org/tutorials/","name":"nmrML Tutorials","type":"Training documentation"},{"url":"https://github.com/organizations/nmrML","name":"nmrML Development News Feed","type":"Blog/News"}],"year_creation":2015,"associated_tools":[{"url":"http://nmrml.org/converter/","name":"Converter"},{"url":"http://nmrml.org/validator/","name":"Validator"},{"url":"https://github.com/ISA-tools/nmrml2isa","name":"nmrML2Isa"},{"url":"https://www.nmrprocflow.org/","name":"nmrProcFlow"}]},"legacy_ids":["bsg-000563","bsg-s000563"],"name":"FAIRsharing record for: Nuclear Magnetic Resonance Markup Language","abbreviation":"NMR-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.es03fk","doi":"10.25504/FAIRsharing.es03fk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: nmrML is an open markup language for NMR raw and spectral data. It is has recently seen its first proper release, ready for public use. The primary development of this standard, initiated by the Coordination of Standards in Metabolomics’ (COSMOS) project, is now maintained within the PhenoMeNal Eu project tasked to disseminate metabolomics data through life science e-infrastructures. The nmrML data standard is approved by the Metabolomics Standards Initiative (MSI) and was derived from an earlier nmrML that was developed by the Metabolomics Innovation Centre (TMIC). It follows design principles of its role model, the mzML data standard created by PSI for mass spectrometry.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10916},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11036},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11286},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11729}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Metabolomics","Analytical Chemistry","Omics"],"domains":["Chemical structure","Analysis","Bioimaging","Chemical entity","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Omics data analysis","Small molecule"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France","Germany","Italy","Japan","Netherlands","United Kingdom"],"publications":[{"id":1991,"pubmed_id":29035042,"title":"nmrML: A Community Supported Open Data Standard for the Description, Storage, and Exchange of NMR Data.","year":2017,"url":"http://doi.org/10.1021/acs.analchem.7b02795","authors":"Schober D1, Jacob D2, Wilson M3, Cruz JA3, Marcu A3, Grant JR3, Moing A2, Deborde C2, de Figueiredo LF4, Haug K4, Rocca-Serra P5, Easton J6, Ebbels TMD7, Hao J7, Ludwig C8, Günther UL9, Rosato A10, Klein MS11, Lewis IA11, Luchinat C10, Jones AR12, Grauslys A12, Larralde M13, Yokochi M14, Kobayashi N14, Porzel A15, Griffin JL16, Viant MR17, Wishart DS3, Steinbeck C4, Salek RM4, Neumann S1","journal":"Anal. Chem.","doi":"10.1021/acs.analchem.7b02795","created_at":"2021-09-30T08:26:04.124Z","updated_at":"2021-09-30T08:26:04.124Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":952,"relation":"undefined"}],"grants":[{"id":11652,"fairsharing_record_id":1363,"organisation_id":917,"relation":"funds","created_at":"2024-03-29T14:00:18.622Z","updated_at":"2024-03-29T14:00:18.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11651,"fairsharing_record_id":1363,"organisation_id":1822,"relation":"associated_with","created_at":"2024-03-29T14:00:18.619Z","updated_at":"2024-03-29T14:00:18.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11653,"fairsharing_record_id":1363,"organisation_id":2380,"relation":"associated_with","created_at":"2024-03-29T14:40:15.367Z","updated_at":"2024-03-29T14:40:15.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1364","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:03:05.000Z","updated_at":"2022-12-13T10:26:42.247Z","metadata":{"doi":"10.25504/FAIRsharing.5suBHK","name":"IVOA Spectral Data Model","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/SpectralDM/index.html","citations":[{"publication_id":2946}],"identifier":1364,"description":"The IVOA Spectral Data Model is a data model describing the structure of spectrophotometric datasets with spectral and temporal coordinates and associated metadata. This data model may be used to represent spectra, time series data, segments of SED (Spectral Energy Distributions) and other spectral or temporal associations. Work on this Data model has concluded. The development of component models DatasetMetadata, NDCube, and STC2 form a basis set of models on which this specification should be built. It was decided that the timescale between the release of this model and the subsequent conversion to the component model basis is too short to warrant moving forward. Upon the release of the above component models, it is expected that the Spectral model will be revisited, possibly expanding the scope to cover other products such as Eschelle spectra and TimeSeries. This document should serve as a guide for that work. The content of this model satisfies the requirements for which it was generated, so a simple translation of concepts should be a good starting point.","abbreviation":"SpectralDM","year_creation":2016},"legacy_ids":["bsg-001166","bsg-s001166"],"name":"FAIRsharing record for: IVOA Spectral Data Model","abbreviation":"SpectralDM","url":"https://fairsharing.org/10.25504/FAIRsharing.5suBHK","doi":"10.25504/FAIRsharing.5suBHK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA Spectral Data Model is a data model describing the structure of spectrophotometric datasets with spectral and temporal coordinates and associated metadata. This data model may be used to represent spectra, time series data, segments of SED (Spectral Energy Distributions) and other spectral or temporal associations. Work on this Data model has concluded. The development of component models DatasetMetadata, NDCube, and STC2 form a basis set of models on which this specification should be built. It was decided that the timescale between the release of this model and the subsequent conversion to the component model basis is too short to warrant moving forward. Upon the release of the above component models, it is expected that the Spectral model will be revisited, possibly expanding the scope to cover other products such as Eschelle spectra and TimeSeries. This document should serve as a guide for that work. The content of this model satisfies the requirements for which it was generated, so a simple translation of concepts should be a good starting point.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11474}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2946,"pubmed_id":null,"title":"IVOA Spectrum Data Model Version 1.1","year":2011,"url":"http://dx.doi.org/10.5479/ADS/bib/2011ivoa.spec.1120M","authors":"McDowell, Jonathan; Tody, Doug; Budavari, Tamas; Dolensky, Markus; Kamp, Inga; McCusker, Kelly; Protopapas, Pavlos; Rots, Arnold; Thompson, Randy; Valdes, Frank; Skoda, Petr; Rino, Bruno; Derriere, S; Salgado, J; Laurino, O; IVOA DAL Group; Data Model WG","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.074Z","updated_at":"2021-09-30T08:28:03.074Z"}],"licence_links":[],"grants":[{"id":7299,"fairsharing_record_id":1364,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.057Z","updated_at":"2021-09-30T09:28:33.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7300,"fairsharing_record_id":1364,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.098Z","updated_at":"2021-09-30T09:28:33.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1365","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:00:58.000Z","updated_at":"2022-12-13T10:26:30.829Z","metadata":{"doi":"10.25504/FAIRsharing.RYXNBS","name":"Space-Time Coordinate Metadata for the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/STC.html","citations":[{"publication_id":2944}],"identifier":1365,"description":"The Space-Time Coordinate (STC) metadata for the Virtual Observatory provides a standard for users to specify the spatial coordinates they work in; these will, for most astronomical users, be some flavor of equatorial coordinates. However, there are many variations, not only in terms of different equatorial systems, either from historical collections (FK1-4) or in the uses of Galactic or ecliptic coordinates, but also geographic, barycentric, planetocentric, and instrumental detector coordinates, most of them in spherical as well as Cartesian form. In addition, high-accuracy requirements and special situations such as spacecraft-based observatories create the need for specifying the origin of such coordinate frames – in most cases the location of the observatory. The same is true for time and spectral coordinates: for many applications it may not matter, but there are situations where it is crucial to know what timescale was used, where time was measured, or what inertial standard of rest was used to express the frequency. What this amounts to is that for spatial coordinates it is necessary to know the coordinate system (its type and orientation) and the origin that were used, for time the timescale (UTC, TT, TAI, TDB, etc.) and the spatial reference position, for the spectral coordinate the origin in phase space, and for redshifts (Doppler velocity) the definition as well as the phase space origin. This standard explains the various components, highlights some implementation considerations, presents a complete set of UML diagrams, and discusses the relation between STC and certain other parts of the Data Model. Two serializations are described in this standard document: XML Schema (STC-X) and String (STC-S); the former is an integral part of this Recommendation.","abbreviation":"STC","support_links":[{"url":"http://www.ivoa.net/Documents/REC/DM/STC-20071030.html","name":"View Standard","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001163","bsg-s001163"],"name":"FAIRsharing record for: Space-Time Coordinate Metadata for the Virtual Observatory","abbreviation":"STC","url":"https://fairsharing.org/10.25504/FAIRsharing.RYXNBS","doi":"10.25504/FAIRsharing.RYXNBS","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Space-Time Coordinate (STC) metadata for the Virtual Observatory provides a standard for users to specify the spatial coordinates they work in; these will, for most astronomical users, be some flavor of equatorial coordinates. However, there are many variations, not only in terms of different equatorial systems, either from historical collections (FK1-4) or in the uses of Galactic or ecliptic coordinates, but also geographic, barycentric, planetocentric, and instrumental detector coordinates, most of them in spherical as well as Cartesian form. In addition, high-accuracy requirements and special situations such as spacecraft-based observatories create the need for specifying the origin of such coordinate frames – in most cases the location of the observatory. The same is true for time and spectral coordinates: for many applications it may not matter, but there are situations where it is crucial to know what timescale was used, where time was measured, or what inertial standard of rest was used to express the frequency. What this amounts to is that for spatial coordinates it is necessary to know the coordinate system (its type and orientation) and the origin that were used, for time the timescale (UTC, TT, TAI, TDB, etc.) and the spatial reference position, for the spectral coordinate the origin in phase space, and for redshifts (Doppler velocity) the definition as well as the phase space origin. This standard explains the various components, highlights some implementation considerations, presents a complete set of UML diagrams, and discusses the relation between STC and certain other parts of the Data Model. Two serializations are described in this standard document: XML Schema (STC-X) and String (STC-S); the former is an integral part of this Recommendation.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11473}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2944,"pubmed_id":null,"title":"Space-Time Coordinate Metadata for the Virtual Observatory Version 1.33","year":2007,"url":"http://dx.doi.org/10.5479/ADS/bib/2007ivoa.spec.1030R","authors":"Rots, A. H.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.855Z","updated_at":"2021-09-30T08:28:02.855Z"}],"licence_links":[],"grants":[{"id":7302,"fairsharing_record_id":1365,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.191Z","updated_at":"2021-09-30T09:28:33.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7301,"fairsharing_record_id":1365,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.140Z","updated_at":"2021-09-30T09:28:33.140Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1366","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:35:13.000Z","updated_at":"2022-12-13T10:26:16.418Z","metadata":{"doi":"10.25504/FAIRsharing.H4mrHs","name":"Simulation Data Access Layer","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SimDAL/index.html","citations":[{"publication_id":2939}],"identifier":1366,"description":"The Simulation Data Access Layer protocol (SimDAL) defines a set of resources and associated actions to discover and retrieve simulations and numerical models in the Virtual Observatory. SimDAL and the Simulation Data Model are dedicated to cover the needs for the publication and retrieval of any kind of simulations: N-body or MHD simulations, numerical models of astrophysical objects and processes, theoretical synthetic spectra, etc... SimDAL is divided in three parts. First, SimDAL Repositories store the descriptions of theoretical projects and numerical codes. They can be used by clients to discover theoretical services associated with projects of interest. Second, SimDAL Search services are dedicated to the discovery of precise datasets. Finally, SimDAL Data Access services are dedicated to retrieve the original simulation output data, as plain raw data or formatted datasets cut-outs. To manage any kind of data, eventually large or at high-dimensionality, the SimDAL standard lets publishers choose any underlying implementation technology.","abbreviation":"SimDAL","support_links":[{"url":"http://ivoa.net/documents/SimDAL/20170320/REC-SimDAL-1.0-20170320.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SimDAL","name":"SimDAL Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001157","bsg-s001157"],"name":"FAIRsharing record for: Simulation Data Access Layer","abbreviation":"SimDAL","url":"https://fairsharing.org/10.25504/FAIRsharing.H4mrHs","doi":"10.25504/FAIRsharing.H4mrHs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simulation Data Access Layer protocol (SimDAL) defines a set of resources and associated actions to discover and retrieve simulations and numerical models in the Virtual Observatory. SimDAL and the Simulation Data Model are dedicated to cover the needs for the publication and retrieval of any kind of simulations: N-body or MHD simulations, numerical models of astrophysical objects and processes, theoretical synthetic spectra, etc... SimDAL is divided in three parts. First, SimDAL Repositories store the descriptions of theoretical projects and numerical codes. They can be used by clients to discover theoretical services associated with projects of interest. Second, SimDAL Search services are dedicated to the discovery of precise datasets. Finally, SimDAL Data Access services are dedicated to retrieve the original simulation output data, as plain raw data or formatted datasets cut-outs. To manage any kind of data, eventually large or at high-dimensionality, the SimDAL standard lets publishers choose any underlying implementation technology.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11479}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2939,"pubmed_id":null,"title":"Simulation Data Access Layer Version 1.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0320L","authors":"Languignon, David; Le Petit, Franck; Rodrigo, Carlos; Lemson, Gerard; Molinaro, Marco; Wozniak, Hervé","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.225Z","updated_at":"2021-09-30T08:28:02.225Z"}],"licence_links":[],"grants":[{"id":7303,"fairsharing_record_id":1366,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.217Z","updated_at":"2021-09-30T09:28:33.217Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7304,"fairsharing_record_id":1366,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.241Z","updated_at":"2021-09-30T09:28:33.241Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1375","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:43:59.000Z","updated_at":"2022-12-14T08:16:16.053Z","metadata":{"doi":"10.25504/FAIRsharing.QXwmj1","name":"Simple Image Access Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/SIA/","citations":[{"publication_id":2920}],"identifier":1375,"description":"The Simple Image Access protocol (SIA) provides capabilities for the discovery, description, access, and retrieval of multi-dimensional image datasets, including 2-D images as well as datacubes of three or more dimensions. SIA data discovery is based on the ObsCore Data Model (ObsCoreDM), which primarily describes data products by the physical axes (spatial, spectral, time, and polarization). Image datasets with dimension greater than 2 are often referred to as datacubes, cube or image cube datasets and may be considered examples of hypercube or n-cube data. In this document the term “image” refers to general multi-dimensional datasets and is synonymous with these other terms unless the image dimensionality is otherwise specified. SIA provides capabilities for image discovery and access. Data discovery and metadata access (using ObsCoreDM) are defined here. The capabilities for drilling down to data files (and related resources) and services for remote access are defined elsewhere, but SIA also allows for direct access to retrieval.","abbreviation":"SIA","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SiaInterface","name":"SIA Wiki","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-001154","bsg-s001154"],"name":"FAIRsharing record for: Simple Image Access Protocol","abbreviation":"SIA","url":"https://fairsharing.org/10.25504/FAIRsharing.QXwmj1","doi":"10.25504/FAIRsharing.QXwmj1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Image Access protocol (SIA) provides capabilities for the discovery, description, access, and retrieval of multi-dimensional image datasets, including 2-D images as well as datacubes of three or more dimensions. SIA data discovery is based on the ObsCore Data Model (ObsCoreDM), which primarily describes data products by the physical axes (spatial, spectral, time, and polarization). Image datasets with dimension greater than 2 are often referred to as datacubes, cube or image cube datasets and may be considered examples of hypercube or n-cube data. In this document the term “image” refers to general multi-dimensional datasets and is synonymous with these other terms unless the image dimensionality is otherwise specified. SIA provides capabilities for image discovery and access. Data discovery and metadata access (using ObsCoreDM) are defined here. The capabilities for drilling down to data files (and related resources) and services for remote access are defined elsewhere, but SIA also allows for direct access to retrieval.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11470}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2920,"pubmed_id":null,"title":"IVOA Simple Image Access Version 2.0","year":2015,"url":"http://dx.doi.org/10.5479/ADS/bib/2015ivoa.spec.1223D","authors":"Dowler, Patrick; Bonnarel, François; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:59.616Z","updated_at":"2021-09-30T08:27:59.616Z"}],"licence_links":[],"grants":[{"id":7324,"fairsharing_record_id":1375,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.835Z","updated_at":"2021-09-30T09:28:33.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7325,"fairsharing_record_id":1375,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.860Z","updated_at":"2021-09-30T09:28:33.860Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1376","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T12:19:24.000Z","updated_at":"2022-12-14T08:15:49.663Z","metadata":{"doi":"10.25504/FAIRsharing.eMKdXo","name":"IVOA Sky Event Reporting Metadata","status":"ready","contacts":[{"contact_name":"IVOA Time Domain Interest Group","contact_email":"voevent@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOEvent/index.html","citations":[{"publication_id":2967}],"identifier":1376,"description":"VOEvent defines the content and meaning of a standard information packet for representing, transmitting, publishing and archiving information about a transient celestial event, with the implication that timely follow-up is of interest. The objective is to motivate the observation of targets-of-opportunity, to drive robotic telescopes, to trigger archive searches, and to alert the community. VOEvent is focused on the reporting of photon events, but events mediated by disparate phenomena such as neutrinos, gravitational waves, and solar or atmospheric particle bursts may also be reported. Structured data is used, rather than natural language, so that automated systems can effectively interpret VOEvent packets. Each packet may contain zero or more of the \"who, what, where, when \u0026 how\" of a detected event, but in addition, may contain a hypothesis (a \"why\") regarding the nature of the underlying physical cause of the event. Citations to previous VOEvents may be used to place each event in its correct context. Proper curation is encouraged throughout each event's life cycle from discovery through successive follow-ups. VOEvent packets gain persistent identifiers and are typically stored in databases reached via registries. VOEvent packets may therefore reference other packets in various ways. Packets are encouraged to be small and to be processed quickly. This standard does not define a transport layer or the design of clients, repositories, publishers or brokers; it does not cover policy issues such as who can publish, who can build a registry of events, who can subscribe to a particular registry, nor the intellectual property issues.","abbreviation":"VOEvent","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOEventTwoPointZero","name":"VOEvent Wiki","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-001207","bsg-s001207"],"name":"FAIRsharing record for: IVOA Sky Event Reporting Metadata","abbreviation":"VOEvent","url":"https://fairsharing.org/10.25504/FAIRsharing.eMKdXo","doi":"10.25504/FAIRsharing.eMKdXo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOEvent defines the content and meaning of a standard information packet for representing, transmitting, publishing and archiving information about a transient celestial event, with the implication that timely follow-up is of interest. The objective is to motivate the observation of targets-of-opportunity, to drive robotic telescopes, to trigger archive searches, and to alert the community. VOEvent is focused on the reporting of photon events, but events mediated by disparate phenomena such as neutrinos, gravitational waves, and solar or atmospheric particle bursts may also be reported. Structured data is used, rather than natural language, so that automated systems can effectively interpret VOEvent packets. Each packet may contain zero or more of the \"who, what, where, when \u0026 how\" of a detected event, but in addition, may contain a hypothesis (a \"why\") regarding the nature of the underlying physical cause of the event. Citations to previous VOEvents may be used to place each event in its correct context. Proper curation is encouraged throughout each event's life cycle from discovery through successive follow-ups. VOEvent packets gain persistent identifiers and are typically stored in databases reached via registries. VOEvent packets may therefore reference other packets in various ways. Packets are encouraged to be small and to be processed quickly. This standard does not define a transport layer or the design of clients, repositories, publishers or brokers; it does not cover policy issues such as who can publish, who can build a registry of events, who can subscribe to a particular registry, nor the intellectual property issues.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11472}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2967,"pubmed_id":null,"title":"Sky Event Reporting Metadata Version 2.0","year":2011,"url":"http://dx.doi.org/10.5479/ADS/bib/2011ivoa.spec.0711S","authors":"Seaman, Rob; Williams, Roy; Allan, Alasdair; Barthelmy, Scott; Bloom, Joshua; Brewer, John; Denny, Robert; Fitzpatrick, Mike; Graham, Matthew; Gray, Norman; Hessman, Frederic; Marka, Szabolcs; Rots, Arnold; Vestrand, Tom; Wozniak, Przemyslaw","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.608Z","updated_at":"2021-09-30T08:28:05.608Z"}],"licence_links":[],"grants":[{"id":7327,"fairsharing_record_id":1376,"organisation_id":1579,"relation":"maintains","created_at":"2021-09-30T09:28:33.909Z","updated_at":"2021-09-30T09:28:33.909Z","grant_id":null,"is_lead":false,"saved_state":{"id":1579,"name":"IVOA Time Domain Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7326,"fairsharing_record_id":1376,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.884Z","updated_at":"2021-09-30T09:28:33.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1377","type":"fairsharing_records","attributes":{"created_at":"2018-04-17T09:54:18.000Z","updated_at":"2022-12-13T11:21:30.484Z","metadata":{"doi":"10.25504/FAIRsharing.rYgXhw","name":"Observation Data Model Core Components and its Implementation in the Table Access Protocol","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/ObsCore/index.html","citations":[{"publication_id":2947}],"identifier":1377,"description":"This document defines the core components of the Observation data model that are necessary to perform data discovery when querying data centers for astronomical observations of interest. It exposes use-cases to be carried out, explains the model and provides guidelines for its implementation as a data access service based on the Table Access Protocol (TAP). It aims at providing a simple model easy to understand and to implement by data providers that wish to publish their data into the Virtual Observatory. This interface integrates data modeling and data access aspects in a single service and is named ObsTAP. In this document, the Observation Data Model Core Components (ObsCoreDM) defines the core components of queryable metadata required for global discovery of observational data. It is meant to allow a single query to be posed to TAP services at multiple sites to perform global data discovery without having to understand the details of the services present at each site. It defines a minimal set of basic metadata and thus allows for a reasonable cost of implementation by data providers.","abbreviation":"ObsCoreDM"},"legacy_ids":["bsg-001176","bsg-s001176"],"name":"FAIRsharing record for: Observation Data Model Core Components and its Implementation in the Table Access Protocol","abbreviation":"ObsCoreDM","url":"https://fairsharing.org/10.25504/FAIRsharing.rYgXhw","doi":"10.25504/FAIRsharing.rYgXhw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document defines the core components of the Observation data model that are necessary to perform data discovery when querying data centers for astronomical observations of interest. It exposes use-cases to be carried out, explains the model and provides guidelines for its implementation as a data access service based on the Table Access Protocol (TAP). It aims at providing a simple model easy to understand and to implement by data providers that wish to publish their data into the Virtual Observatory. This interface integrates data modeling and data access aspects in a single service and is named ObsTAP. In this document, the Observation Data Model Core Components (ObsCoreDM) defines the core components of queryable metadata required for global discovery of observational data. It is meant to allow a single query to be posed to TAP services at multiple sites to perform global data discovery without having to understand the details of the services present at each site. It defines a minimal set of basic metadata and thus allows for a reasonable cost of implementation by data providers.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11476}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2947,"pubmed_id":null,"title":"Observation Data Model Core Components, its Implementation in the Table Access Protocol Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0509L","authors":"Louys, Mireille; Tody, Doug; Dowler, Patrick; Durand, Daniel; Michel, Laurent; Bonnarel, Francos; Micol, Alberto; IVOA DataModel Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.199Z","updated_at":"2021-09-30T08:28:03.199Z"}],"licence_links":[],"grants":[{"id":7329,"fairsharing_record_id":1377,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.960Z","updated_at":"2021-09-30T09:28:33.960Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7328,"fairsharing_record_id":1377,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.935Z","updated_at":"2021-09-30T09:28:33.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1378","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:44:12.000Z","updated_at":"2022-12-13T10:29:47.648Z","metadata":{"doi":"10.25504/FAIRsharing.RycpEU","name":"IVOA Registry Interfaces","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/RegistryInterface/","citations":[{"publication_id":2956}],"identifier":1378,"description":"The VO Registry provides a mechanism with which VO applications can discover and select resources that are relevant for a particular scientific problem. This specification defines the operation of this system. It is based on a general, distributed model composed of searchable and publishing registries, as introduced at the beginning of this document. The main body of the IVOA Registry Interfaces specification has three components: (a) an interface for harvesting publishing registries, which builds upon the Open Archives Initiative Protocol for Metadata Harvesting. (b) A VOResource extension for registering registry services and description of a central list of said IVOA registry services. (c) A discussion of the Registry of Registries as the root component of data discovery in the VO.","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/documents/RegistryInterface/20171010/PR-RegistryInterface-1.1-20171010.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/RI11RFC","name":"IVOA Registry Interfaces - Request for Comments (Wiki)","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/RegistryInterfacesNext","name":"IVOA Registry Interfaces - Next Version Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001197","bsg-s001197"],"name":"FAIRsharing record for: IVOA Registry Interfaces","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.RycpEU","doi":"10.25504/FAIRsharing.RycpEU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VO Registry provides a mechanism with which VO applications can discover and select resources that are relevant for a particular scientific problem. This specification defines the operation of this system. It is based on a general, distributed model composed of searchable and publishing registries, as introduced at the beginning of this document. The main body of the IVOA Registry Interfaces specification has three components: (a) an interface for harvesting publishing registries, which builds upon the Open Archives Initiative Protocol for Metadata Harvesting. (b) A VOResource extension for registering registry services and description of a central list of said IVOA registry services. (c) A discussion of the Registry of Registries as the root component of data discovery in the VO.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11488}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2956,"pubmed_id":null,"title":"Registry Interfaces Version 1.1","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0723D","authors":"Dower, Theresa; Demleitner, Markus; Benson, Kevin; Plante, Ray; Auden, Elizabeth; Graham, Matthew; Greene, Gretchen; Hill, Martin; Linde, Tony; Morris, Dave; O`Mullane, Wil; Rixon, Guy; Stébé, Aurélien; Andrews, Kona","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.324Z","updated_at":"2021-09-30T08:28:04.324Z"}],"licence_links":[],"grants":[{"id":7330,"fairsharing_record_id":1378,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.984Z","updated_at":"2021-09-30T09:28:33.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7331,"fairsharing_record_id":1378,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:34.009Z","updated_at":"2021-09-30T09:28:34.009Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1379","type":"fairsharing_records","attributes":{"created_at":"2018-04-18T12:22:45.000Z","updated_at":"2022-12-13T10:27:03.888Z","metadata":{"doi":"10.25504/FAIRsharing.OcXwxA","name":"Virtual Observatory Data Modeling Language","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/VODML/index.html","citations":[{"publication_id":2948}],"identifier":1379,"description":"The Virtual Observatory Data Modeling Language (VO-DML) defines a standard modelling language, or meta-model, for expressing data models in the IVOA. Adopting such a uniform language for all models allows these to be used in a homogeneous manner and allows a consistent definition of reuse of one model by another. The particular language defined here includes a consistent identification mechanism for model which allows these to be referenced in an explicit and uniform manner also from other contexts, in particular from othe IVOA standard formats such as VOTable. The language defined in this specification is named VO-DML (VO Data Modeling Language). VO-DML is a conceptual modeling language that is agnostic of serializations, or physical representations. This allows it to be designed to fit as many purposes as possible. VO-DML is directly based on UML, and can be seen as a particular representation of a UML2 Profile. VO-DML is restricted to describing static data structures and from UML it only uses a subset of the elements defined in its language for describing \"Class Diagrams\". Its concepts can be easily mapped to equivalent data modelling concepts in other representations such as relational databases, XML schemas and object-oriented computer languages. VO-DML has a representation as a simple XML dialect named VO-DML/XML that must be used to provide the formal representation of a VO-DML data model. VO-DML/XML aims to be concise, explicit and easy to parse and use in code that needs to interpret annotated data sets. VO-DML as described in this document is an example of a domain specific modeling language, where the domain here is defined as the set of data and meta-data structures handled in the IVOA and Astronomy at large. VO-DML provides a custom representation of such a language and as a side effect allows the creation and use of standards compliant data models outside of the IVOA standards context.","abbreviation":"VO-DML","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VODML1RFC","name":"VO-DML Wiki","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001179","bsg-s001179"],"name":"FAIRsharing record for: Virtual Observatory Data Modeling Language","abbreviation":"VO-DML","url":"https://fairsharing.org/10.25504/FAIRsharing.OcXwxA","doi":"10.25504/FAIRsharing.OcXwxA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Virtual Observatory Data Modeling Language (VO-DML) defines a standard modelling language, or meta-model, for expressing data models in the IVOA. Adopting such a uniform language for all models allows these to be used in a homogeneous manner and allows a consistent definition of reuse of one model by another. The particular language defined here includes a consistent identification mechanism for model which allows these to be referenced in an explicit and uniform manner also from other contexts, in particular from othe IVOA standard formats such as VOTable. The language defined in this specification is named VO-DML (VO Data Modeling Language). VO-DML is a conceptual modeling language that is agnostic of serializations, or physical representations. This allows it to be designed to fit as many purposes as possible. VO-DML is directly based on UML, and can be seen as a particular representation of a UML2 Profile. VO-DML is restricted to describing static data structures and from UML it only uses a subset of the elements defined in its language for describing \"Class Diagrams\". Its concepts can be easily mapped to equivalent data modelling concepts in other representations such as relational databases, XML schemas and object-oriented computer languages. VO-DML has a representation as a simple XML dialect named VO-DML/XML that must be used to provide the formal representation of a VO-DML data model. VO-DML/XML aims to be concise, explicit and easy to parse and use in code that needs to interpret annotated data sets. VO-DML as described in this document is an example of a domain specific modeling language, where the domain here is defined as the set of data and meta-data structures handled in the IVOA and Astronomy at large. VO-DML provides a custom representation of such a language and as a side effect allows the creation and use of standards compliant data models outside of the IVOA standards context.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11477}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2948,"pubmed_id":null,"title":"VO-DML: a consistent modeling language for IVOA data models Version 1.0","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0910L","authors":"Lemson, Gerard; Laurino, Omar; Bourges, Laurent; Cresitello-Dittmar, Mark; Demleitner, Markus; Donaldson, Tom; Dowler, Patrick; Graham, Matthew; Gray, Norman; Michel, Laurent; Salgado, Jesus","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.307Z","updated_at":"2021-09-30T08:28:03.307Z"}],"licence_links":[],"grants":[{"id":7332,"fairsharing_record_id":1379,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.035Z","updated_at":"2021-09-30T09:28:34.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7333,"fairsharing_record_id":1379,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:34.060Z","updated_at":"2021-09-30T09:28:34.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1369","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:01:49.000Z","updated_at":"2022-12-13T10:26:05.599Z","metadata":{"doi":"10.25504/FAIRsharing.yYjZWb","name":"Data Model for Astronomical DataSet Characterisation","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/CharacterisationDM.html","citations":[{"publication_id":2908}],"identifier":1369,"description":"The Data Model for Astronomical DataSet Characterisation defines the high level metadata necessary to describe the physical parameter space of observed or simulated astronomical data sets, such as 2D-images, data cubes, X-ray event lists, IFU data, etc.. The Characterisation data model is an abstraction which can be used to derive a structured description of any relevant data and thus to facilitate its discovery and scientific interpretation. The model aims at facilitating the manipulation of heterogeneous data in any VO framework or portal. A VO Characterisation instance can include descriptions of the data axes, the range of coordinates covered by the data, and details of the data sampling and resolution on each axis. These descriptions should be in terms of physical variables, independent of instrumental signatures as far as possible.","abbreviation":"CharDM","year_creation":2008},"legacy_ids":["bsg-001164","bsg-s001164"],"name":"FAIRsharing record for: Data Model for Astronomical DataSet Characterisation","abbreviation":"CharDM","url":"https://fairsharing.org/10.25504/FAIRsharing.yYjZWb","doi":"10.25504/FAIRsharing.yYjZWb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Model for Astronomical DataSet Characterisation defines the high level metadata necessary to describe the physical parameter space of observed or simulated astronomical data sets, such as 2D-images, data cubes, X-ray event lists, IFU data, etc.. The Characterisation data model is an abstraction which can be used to derive a structured description of any relevant data and thus to facilitate its discovery and scientific interpretation. The model aims at facilitating the manipulation of heterogeneous data in any VO framework or portal. A VO Characterisation instance can include descriptions of the data axes, the range of coordinates covered by the data, and details of the data sampling and resolution on each axis. These descriptions should be in terms of physical variables, independent of instrumental signatures as far as possible.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11453}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2908,"pubmed_id":null,"title":"Data Model for Astronomical DataSet Characterisation Version 1.13","year":2008,"url":"http://dx.doi.org/10.5479/ADS/bib/2008ivoa.spec.0325L","authors":"Louys, Mireille; Richards, Anita; Bonnarel, François; Micol, Alberto; Chilingarian, Igor; McDowell, Jonathan; IVOA Data Model Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:58.073Z","updated_at":"2021-09-30T08:27:58.073Z"}],"licence_links":[],"grants":[{"id":7312,"fairsharing_record_id":1369,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.442Z","updated_at":"2021-09-30T09:28:33.442Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7313,"fairsharing_record_id":1369,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.467Z","updated_at":"2021-09-30T09:28:33.467Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1370","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:50:41.000Z","updated_at":"2022-12-13T10:25:55.272Z","metadata":{"doi":"10.25504/FAIRsharing.qSULus","name":"Resource Metadata for the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/RM/index.html","citations":[{"publication_id":2957}],"identifier":1370,"description":"An essential capability of the Virtual Observatory is a means for describing what data and computational facilities are available where, and once identified, how to use them. The data themselves have associated metadata (e.g., FITS keywords), and similarly we require metadata about data collections and data services so that VO users can easily find information of interest. Furthermore, such metadata are needed in order to manage distributed queries efficiently; if a user is interested in finding x-ray images there is no point in querying the HST archive, for example. The Resource Metadata for the Virtual Observatory standard describes an architecture for resource and service metadata and the relationship of this architecture to emerging Web Services standards. We also define an initial set of metadata concepts.","abbreviation":"IVOA RM","support_links":[{"url":"http://ivoa.net/documents/RM/20070302/REC-RM-1.12-20070302.html","name":"View Standard","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001198","bsg-s001198"],"name":"FAIRsharing record for: Resource Metadata for the Virtual Observatory","abbreviation":"IVOA RM","url":"https://fairsharing.org/10.25504/FAIRsharing.qSULus","doi":"10.25504/FAIRsharing.qSULus","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An essential capability of the Virtual Observatory is a means for describing what data and computational facilities are available where, and once identified, how to use them. The data themselves have associated metadata (e.g., FITS keywords), and similarly we require metadata about data collections and data services so that VO users can easily find information of interest. Furthermore, such metadata are needed in order to manage distributed queries efficiently; if a user is interested in finding x-ray images there is no point in querying the HST archive, for example. The Resource Metadata for the Virtual Observatory standard describes an architecture for resource and service metadata and the relationship of this architecture to emerging Web Services standards. We also define an initial set of metadata concepts.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11468}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2957,"pubmed_id":null,"title":"Resource Metadata for the Virtual Observatory Version 1.12","year":2007,"url":"http://dx.doi.org/10.5479/ADS/bib/2007ivoa.spec.0302H","authors":"Hanisch, Robert; IVOA Resource Registry Working Group; NVO Metadata Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.441Z","updated_at":"2021-09-30T08:28:04.441Z"}],"licence_links":[],"grants":[{"id":7315,"fairsharing_record_id":1370,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:33.518Z","updated_at":"2021-09-30T09:28:33.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7314,"fairsharing_record_id":1370,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.493Z","updated_at":"2021-09-30T09:28:33.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1371","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T10:04:35.000Z","updated_at":"2022-12-14T08:17:11.664Z","metadata":{"doi":"10.25504/FAIRsharing.8ezzRt","name":"SimpleDALRegExt - Describing Simple IVOA Data Access Services","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/SimpleDALRegExt/index.html","citations":[{"doi":null,"pubmed_id":null,"publication_id":2959}],"identifier":1371,"description":"An application that queries or consumes descriptions of VO resources must be able to recognize a resource's support for standard IVOA protocols. The SimpleDALRegExt specification describes how to describe a service that supports any of the four typed data access protocols - Simple Cone Search (SCS), Simple Image Access (SIA), Simple Spectral Access (SSA), Simple Line Access (SLA) - using the VOResource XML encoding standard. A key part of this specification is the set of VOResource XML extension schemas that define new metadata that are specific to those protocols. SimpleDALRegExt describes rules for describing such services within the context of IVOA Registries and data discovery as well as the VO Support Interfaces (VOSI) and service self-description. In particular, this document spells out the essential mark-up needed to identify support for a standard protocol and the base URL required to access the interface that supports that protocol.","abbreviation":"SimpleDALRegExt","support_links":[{"url":"http://ivoa.net/documents/SimpleDALRegExt/20170530/REC-SimpleDALRegExt-1.1.html","name":"View Standard","type":"Help documentation"},{"url":"https://www.ivoa.net/documents/SimpleDALRegExt/20220222/index.html","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001200","bsg-s001200"],"name":"FAIRsharing record for: SimpleDALRegExt - Describing Simple IVOA Data Access Services","abbreviation":"SimpleDALRegExt","url":"https://fairsharing.org/10.25504/FAIRsharing.8ezzRt","doi":"10.25504/FAIRsharing.8ezzRt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application that queries or consumes descriptions of VO resources must be able to recognize a resource's support for standard IVOA protocols. The SimpleDALRegExt specification describes how to describe a service that supports any of the four typed data access protocols - Simple Cone Search (SCS), Simple Image Access (SIA), Simple Spectral Access (SSA), Simple Line Access (SLA) - using the VOResource XML encoding standard. A key part of this specification is the set of VOResource XML extension schemas that define new metadata that are specific to those protocols. SimpleDALRegExt describes rules for describing such services within the context of IVOA Registries and data discovery as well as the VO Support Interfaces (VOSI) and service self-description. In particular, this document spells out the essential mark-up needed to identify support for a standard protocol and the base URL required to access the interface that supports that protocol.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11481}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2959,"pubmed_id":null,"title":"Describing Simple Data Access Services Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0530P","authors":"Plante, Ray; Demleitner, Markus; Plante, Raymond; Delago, Jesus; Harrison, Paul; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.674Z","updated_at":"2021-09-30T08:28:04.674Z"}],"licence_links":[],"grants":[{"id":7316,"fairsharing_record_id":1371,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.571Z","updated_at":"2021-09-30T09:28:33.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7317,"fairsharing_record_id":1371,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:33.612Z","updated_at":"2021-09-30T09:28:33.612Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1372","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T09:35:37.000Z","updated_at":"2022-12-14T08:16:55.910Z","metadata":{"doi":"10.25504/FAIRsharing.TVImPv","name":"VODataService: a VOResource Schema Extension for Describing Collections and Services","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/VODataService/index.html","citations":[{"publication_id":2961}],"identifier":1372,"description":"VODataService refers to an XML encoding standard for a specialized extension of the IVOA Resource Metadata that is useful for describing data collections and the services that access them. It is defined as an extension of the core resource metadata encoding standard known as VOResource using XML Schema. The specialized resource types defined by the VODataService schema allow one to describe how the data underlying the resource cover the sky as well as cover frequency and time. This coverage description leverages heavily the Space-Time Coordinates (STC) standard schema. VODataService also enables detailed descriptions of tables that includes information useful to the discovery of tabular data. It is intended that the VODataService data types will be particularly useful in describing services that support standard IVOA service protocols.","abbreviation":"VODataService","support_links":[{"url":"http://ivoa.net/documents/VODataService/20101202/REC-VODataService-1.1-20101202.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VODataServiceNext","name":"VODataService Next Steps (Wiki)","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-001202","bsg-s001202"],"name":"FAIRsharing record for: VODataService: a VOResource Schema Extension for Describing Collections and Services","abbreviation":"VODataService","url":"https://fairsharing.org/10.25504/FAIRsharing.TVImPv","doi":"10.25504/FAIRsharing.TVImPv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VODataService refers to an XML encoding standard for a specialized extension of the IVOA Resource Metadata that is useful for describing data collections and the services that access them. It is defined as an extension of the core resource metadata encoding standard known as VOResource using XML Schema. The specialized resource types defined by the VODataService schema allow one to describe how the data underlying the resource cover the sky as well as cover frequency and time. This coverage description leverages heavily the Space-Time Coordinates (STC) standard schema. VODataService also enables detailed descriptions of tables that includes information useful to the discovery of tabular data. It is intended that the VODataService data types will be particularly useful in describing services that support standard IVOA service protocols.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11482}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2961,"pubmed_id":null,"title":"VODataService: a VOResource Schema Extension for Describing Collections, Services Version 1.1","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.1202P","authors":"Plante, Raymond; Stébé, Aurélien; Benson, Kevin; Dowler, Patrick; Graham, Matthew; Greene, Gretchen; Harrison, Paul; Lemson, Gerard; Linde, Tony; Rixon, Guy","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.908Z","updated_at":"2021-09-30T08:28:04.908Z"}],"licence_links":[],"grants":[{"id":7318,"fairsharing_record_id":1372,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.649Z","updated_at":"2021-09-30T09:28:33.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7319,"fairsharing_record_id":1372,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:33.691Z","updated_at":"2021-09-30T09:28:33.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1373","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:54:20.000Z","updated_at":"2022-12-14T08:16:44.827Z","metadata":{"doi":"10.25504/FAIRsharing.4BQ3AQ","name":"Simple Spectral Access Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SSA/","citations":[{"publication_id":2936}],"identifier":1373,"description":"The Simple Spectral Access (SSA) Protocol (SSAP) defines a uniform interface to remotely discover and access one dimensional spectra. SSA is a member of an integrated family of data access interfaces altogether comprising the Data Access Layer (DAL) of the IVOA. SSA is based on a more general data model capable of describing most tabular spectrophotometric data, including time series and spectral energy distributions (SEDs) as well as 1-D spectra; however the scope of the SSA interface as specified in this document is limited to simple 1-D spectra, including simple aggregations of 1-D spectra. The form of the SSA interface is simple: clients first query the global resource registry to find services of interest and then issue a data discovery query to selected services to determine what relevant data is available from each service; the candidate datasets available are described uniformly in a VOTable format document which is returned in response to the query. Finally, the client may retrieve selected datasets for analysis.","abbreviation":"SSA","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SsaInterface","name":"SSA Wiki","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001156","bsg-s001156"],"name":"FAIRsharing record for: Simple Spectral Access Protocol","abbreviation":"SSA","url":"https://fairsharing.org/10.25504/FAIRsharing.4BQ3AQ","doi":"10.25504/FAIRsharing.4BQ3AQ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Spectral Access (SSA) Protocol (SSAP) defines a uniform interface to remotely discover and access one dimensional spectra. SSA is a member of an integrated family of data access interfaces altogether comprising the Data Access Layer (DAL) of the IVOA. SSA is based on a more general data model capable of describing most tabular spectrophotometric data, including time series and spectral energy distributions (SEDs) as well as 1-D spectra; however the scope of the SSA interface as specified in this document is limited to simple 1-D spectra, including simple aggregations of 1-D spectra. The form of the SSA interface is simple: clients first query the global resource registry to find services of interest and then issue a data discovery query to selected services to determine what relevant data is available from each service; the candidate datasets available are described uniformly in a VOTable format document which is returned in response to the query. Finally, the client may retrieve selected datasets for analysis.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11454}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2936,"pubmed_id":null,"title":"Simple Spectral Access Protocol Version 1.1","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0210T","authors":"Tody, Doug; Dolensky, Markus; McDowell, Jonathan; Bonnarel, Francois; Budavari, Tamas; Busko, Ivo; Micol, Alberto; Osuna, Pedro; Salgado, Jesus; Skoda, Petr; Thompson, Randy; Valdes, Frank; Data Access Layer Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.875Z","updated_at":"2021-09-30T08:28:01.875Z"}],"licence_links":[],"grants":[{"id":7321,"fairsharing_record_id":1373,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.761Z","updated_at":"2021-09-30T09:28:33.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7320,"fairsharing_record_id":1373,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.728Z","updated_at":"2021-09-30T09:28:33.728Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1374","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T14:54:21.000Z","updated_at":"2022-12-14T08:16:29.178Z","metadata":{"doi":"10.25504/FAIRsharing.h0dobn","name":"DataLink","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/DataLink/index.html","citations":[{"publication_id":2934}],"identifier":1374,"description":"The DataLink specification defines mechanisms for connecting metadata about discovered datasets to the data, related data products, and web services that can act upon the data. DataLink is a data access protocol in the IVOA architecture whose purpose is to provide a mechanism to link resources found via one service to resources provided by other services. The web service capability supports a drill-down into the details of a specific dataset and provides a set of links to the dataset file(s) and related resources. This specification also includes a VOTable-specific method of providing descriptions of one or more services and their input(s), usually using parameter values from elsewhere in the VOTable document. Providers are able to describe services that are relevant to the records (usually datasets with identifiers) by including service descriptors in a result document.","abbreviation":"DataLink","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/DataLink","name":"DataLink Wiki","type":"Help documentation"},{"url":"http://www.ivoa.net/rdf/datalink/core/2014-10-30/datalink-core-2014-10-30.html","name":"DataLink Controlled Vocabulary","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001149","bsg-s001149"],"name":"FAIRsharing record for: DataLink","abbreviation":"DataLink","url":"https://fairsharing.org/10.25504/FAIRsharing.h0dobn","doi":"10.25504/FAIRsharing.h0dobn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DataLink specification defines mechanisms for connecting metadata about discovered datasets to the data, related data products, and web services that can act upon the data. DataLink is a data access protocol in the IVOA architecture whose purpose is to provide a mechanism to link resources found via one service to resources provided by other services. The web service capability supports a drill-down into the details of a specific dataset and provides a set of links to the dataset file(s) and related resources. This specification also includes a VOTable-specific method of providing descriptions of one or more services and their input(s), usually using parameter values from elsewhere in the VOTable document. Providers are able to describe services that are relevant to the records (usually datasets with identifiers) by including service descriptors in a result document.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11465}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2934,"pubmed_id":null,"title":"IVOA DataLink Version 1.0","year":2015,"url":"http://dx.doi.org/10.5479/ADS/bib/2015ivoa.spec.0617D","authors":"Dowler, Patrick; Bonnarel, François; Michel, Laurent; Demleitner, Markus","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.559Z","updated_at":"2021-09-30T08:28:01.559Z"}],"licence_links":[],"grants":[{"id":7322,"fairsharing_record_id":1374,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.784Z","updated_at":"2021-09-30T09:28:33.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7323,"fairsharing_record_id":1374,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.809Z","updated_at":"2021-09-30T09:28:33.809Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1384","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T12:42:43.000Z","updated_at":"2023-12-04T10:34:34.713Z","metadata":{"doi":"10.25504/FAIRsharing.dnE6tF","name":"Table Access Protocol","status":"ready","contacts":[{"contact_name":"IVOA Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/TAP/","citations":[],"identifier":1384,"description":"The table access protocol (TAP) defines a service protocol for accessing general table data, including astronomical catalogs as well as general database tables. Access is provided for both database and table metadata as well as for actual table data. This version of the protocol includes support for multiple query languages, including queries specified using the Astronomical Data Query Language ADQL within an integrated interface. It also includes support for both synchronous and asynchronous queries. Special support is provided for spatially indexed queries using the spatial extensions in ADQL. A multi-position query capability permits queries against an arbitrarily large list of astronomical targets, providing a simple spatial cross-matching capability. More sophisticated distributed cross-matching capabilities are possible by orchestrating a distributed query across multiple TAP services.","abbreviation":"TAP","support_links":[],"year_creation":2018},"legacy_ids":["bsg-001209","bsg-s001209"],"name":"FAIRsharing record for: Table Access Protocol","abbreviation":"TAP","url":"https://fairsharing.org/10.25504/FAIRsharing.dnE6tF","doi":"10.25504/FAIRsharing.dnE6tF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The table access protocol (TAP) defines a service protocol for accessing general table data, including astronomical catalogs as well as general database tables. Access is provided for both database and table metadata as well as for actual table data. This version of the protocol includes support for multiple query languages, including queries specified using the Astronomical Data Query Language ADQL within an integrated interface. It also includes support for both synchronous and asynchronous queries. Special support is provided for spatially indexed queries using the spatial extensions in ADQL. A multi-position query capability permits queries against an arbitrarily large list of astronomical targets, providing a simple spatial cross-matching capability. More sophisticated distributed cross-matching capabilities are possible by orchestrating a distributed query across multiple TAP services.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11492}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2937,"pubmed_id":null,"title":"Table Access Protocol Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.0327D","authors":"Dowler, Patrick; Rixon, Guy; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.992Z","updated_at":"2021-09-30T08:28:01.992Z"}],"licence_links":[],"grants":[{"id":7344,"fairsharing_record_id":1384,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.385Z","updated_at":"2021-09-30T09:28:34.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7345,"fairsharing_record_id":1384,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:34.410Z","updated_at":"2023-12-04T10:29:16.983Z","grant_id":null,"is_lead":true,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2dEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--523a3c4eb1fb16363466f2ddf528c573916e6866/IVOA_wb_300.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1385","type":"fairsharing_records","attributes":{"created_at":"2020-07-06T13:11:42.000Z","updated_at":"2022-07-20T12:21:07.853Z","metadata":{"doi":"10.25504/FAIRsharing.pwk71v","name":"Citation Style Language JSON Schema","status":"ready","homepage":"https://github.com/citation-style-language/schema","identifier":1385,"description":"The Citation Style Language JSON (CSL-JSON) schema renders citations and bibliography metadata for CSL processors. Where the related CSL XML schema provides structured style and locale files, CSL-JSON provides the structured bibliographic metadata. The CSL-JSON schema is not yet fully normative, and care must be taken to ensure compatibility with other tools built around CSL-JSON. CSL-JSON contains two main structures: csl-data.json describes how the metadata of bibliographic items can be stored; and csl-citation.json incorporates csl-data.json and adds an additional layer of information to also describe the context in which bibliographic items are cited, including information such as the order in which items are cited and which items are cited together in a single citation.","abbreviation":"CSL-JSON Schema","support_links":[{"url":"https://citationstyles.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"https://citeproc-js.readthedocs.io/en/latest/csl-json/markup.html","name":"CSL-JSON Information","type":"Help documentation"},{"url":"https://twitter.com/csl_styles","name":"@csl_styles","type":"Twitter"}],"year_creation":2020},"legacy_ids":["bsg-001507","bsg-s001507"],"name":"FAIRsharing record for: Citation Style Language JSON Schema","abbreviation":"CSL-JSON Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.pwk71v","doi":"10.25504/FAIRsharing.pwk71v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citation Style Language JSON (CSL-JSON) schema renders citations and bibliography metadata for CSL processors. Where the related CSL XML schema provides structured style and locale files, CSL-JSON provides the structured bibliographic metadata. The CSL-JSON schema is not yet fully normative, and care must be taken to ensure compatibility with other tools built around CSL-JSON. CSL-JSON contains two main structures: csl-data.json describes how the metadata of bibliographic items can be stored; and csl-citation.json incorporates csl-data.json and adds an additional layer of information to also describe the context in which bibliographic items are cited, including information such as the order in which items are cited and which items are cited together in a single citation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1992,"relation":"undefined"}],"grants":[{"id":7346,"fairsharing_record_id":1385,"organisation_id":2616,"relation":"funds","created_at":"2021-09-30T09:28:34.440Z","updated_at":"2021-09-30T09:28:34.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":2616,"name":"Springer Nature","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7348,"fairsharing_record_id":1385,"organisation_id":524,"relation":"maintains","created_at":"2021-09-30T09:28:34.499Z","updated_at":"2021-09-30T09:28:34.499Z","grant_id":null,"is_lead":true,"saved_state":{"id":524,"name":"Citation Style Language Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7347,"fairsharing_record_id":1385,"organisation_id":1817,"relation":"funds","created_at":"2021-09-30T09:28:34.470Z","updated_at":"2021-09-30T09:28:34.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":1817,"name":"Mendeley, London, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7349,"fairsharing_record_id":1385,"organisation_id":850,"relation":"funds","created_at":"2021-09-30T09:28:34.541Z","updated_at":"2021-09-30T09:28:34.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7350,"fairsharing_record_id":1385,"organisation_id":2413,"relation":"funds","created_at":"2021-09-30T09:28:34.581Z","updated_at":"2021-09-30T09:28:34.581Z","grant_id":null,"is_lead":false,"saved_state":{"id":2413,"name":"RefWorks, ProQuest LLC.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1386","type":"fairsharing_records","attributes":{"created_at":"2018-10-05T07:34:30.000Z","updated_at":"2022-12-14T08:17:23.656Z","metadata":{"doi":"10.25504/FAIRsharing.a8diI4","name":"The UCD1+ controlled vocabulary","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/UCD1+/","citations":[{"publication_id":2965}],"identifier":1386,"description":"This document describes the list of controlled terms used to build the Unified Content Descriptors, Version 1+ (UCD1+). The document describing the UCD1+ can be found at the URL: http://www.ivoa.net/Documents/latest/UCD.html. This document reviews the structure of the UCD1+ and presents the current vocabulary. This version contains new UCD words for the planetary data community as proposed in the Technical Note by Cecconi et al. The suggested list of line labels under the em.line branch is not included. A general solution is currently under study to deal with lists of element instances such spectral lines, chemical elements, elementary particles, etc. using either utypes or a vocabulary.","abbreviation":"UCD1+ Vocabulary","support_links":[{"url":"http://www.ivoa.net/documents/UCD1+/index.html","name":"View Standard","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001304","bsg-s001304"],"name":"FAIRsharing record for: The UCD1+ controlled vocabulary","abbreviation":"UCD1+ Vocabulary","url":"https://fairsharing.org/10.25504/FAIRsharing.a8diI4","doi":"10.25504/FAIRsharing.a8diI4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document describes the list of controlled terms used to build the Unified Content Descriptors, Version 1+ (UCD1+). The document describing the UCD1+ can be found at the URL: http://www.ivoa.net/Documents/latest/UCD.html. This document reviews the structure of the UCD1+ and presents the current vocabulary. This version contains new UCD words for the planetary data community as proposed in the Technical Note by Cecconi et al. The suggested list of line labels under the em.line branch is not included. A general solution is currently under study to deal with lists of element instances such spectral lines, chemical elements, elementary particles, etc. using either utypes or a vocabulary.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11494}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2965,"pubmed_id":null,"title":"The UCD1+ controlled vocabulary Version 1.3 Version 1.3","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0527M","authors":"Martinez, Andrea Preite; Louys, Mireille; Cecconi, Baptiste; Derriere, Sebastien; Ochsenbein, François; IVOA Semantic Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.375Z","updated_at":"2021-09-30T08:28:05.375Z"}],"licence_links":[],"grants":[{"id":7351,"fairsharing_record_id":1386,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.614Z","updated_at":"2021-09-30T09:28:34.614Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7352,"fairsharing_record_id":1386,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:28:34.658Z","updated_at":"2021-09-30T09:28:34.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1387","type":"fairsharing_records","attributes":{"created_at":"2021-01-12T11:38:13.000Z","updated_at":"2022-07-20T11:11:12.935Z","metadata":{"name":"Minimum Information about a Digital Specimen","status":"in_development","contacts":[{"contact_name":"Alex Hardisty","contact_email":"HardistyAR@cardiff.ac.uk"}],"homepage":"https://github.com/tdwg/mids","identifier":1387,"description":"The Minimum Information about a Digital Specimen (MIDS) guidelines, currently in development, specifies the information elements expected to be present when providing access to specimens within a digital framework They are intended to provide a harmonizing framework captured as a TDWG standard that can help clarify levels (depth) of digitization and the minimum information captured and published at each level. This would help to ensure that enough data are captured, curated and published against specific requirements so they are useful for the widest range of possible purposes; as well as making it easier to consistently measure the extent of digitization achieved over time and to set priorities for remaining work. Such a framework would also be beneficial for 'born digital' specimens where digital data is captured from the outset, beginning with the gathering event.","abbreviation":"MIDS","support_links":[{"url":"EHaston@rbge.org.uk","name":"Elspeth Haston","type":"Support email"},{"url":"https://github.com/tdwg/mids/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2018},"legacy_ids":["bsg-001576","bsg-s001576"],"name":"FAIRsharing record for: Minimum Information about a Digital Specimen","abbreviation":"MIDS","url":"https://fairsharing.org/fairsharing_records/1387","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Digital Specimen (MIDS) guidelines, currently in development, specifies the information elements expected to be present when providing access to specimens within a digital framework They are intended to provide a harmonizing framework captured as a TDWG standard that can help clarify levels (depth) of digitization and the minimum information captured and published at each level. This would help to ensure that enough data are captured, curated and published against specific requirements so they are useful for the widest range of possible purposes; as well as making it easier to consistently measure the extent of digitization achieved over time and to set priorities for remaining work. Such a framework would also be beneficial for 'born digital' specimens where digital data is captured from the outset, beginning with the gathering event.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Natural Science"],"domains":["Resource collection","Digital curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7353,"fairsharing_record_id":1387,"organisation_id":1846,"relation":"maintains","created_at":"2021-09-30T09:28:34.697Z","updated_at":"2021-09-30T09:28:34.697Z","grant_id":null,"is_lead":true,"saved_state":{"id":1846,"name":"Minimum Information about a Digital Specimen (MIDS) Task Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1388","type":"fairsharing_records","attributes":{"created_at":"2020-04-09T23:23:45.000Z","updated_at":"2023-03-14T17:50:26.472Z","metadata":{"name":"Reporting guidelines to increase the reproducibility and comparability of research on microplastics","status":"in_development","contacts":[{"contact_name":"Win Cowger","contact_email":"wcowg001@ucr.edu","contact_orcid":"0000-0001-9226-3104"}],"homepage":"https://osf.io/jdmex/","citations":[{"publication_id":2974}],"identifier":1388,"description":"The aim of these reporting guidelines is to inform the critical method components which should be reported to reproduce a study. These can be used to develop databases for studies, develop new methodologies that better control for these factors, and referenced when publishing to ensure that a study is reproducible. We have formatted the documentation into a summarized and detailed version. We expect that the detailed documentation will be especially useful for new microplastic practitioners who are just entering the field. As well, the summarized versions of the documentation will be useful for practitioners who know the field well. These are living documents hosted on Open Science Framework to allow for comments on the microplastic reporting guidelines. All reporting guideline documents are open access and hold a CC By 4.0 license.","abbreviation":null,"support_links":[{"url":"https://osf.io/jdmex/","name":"Open Science Framework","type":"Help documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://osf.io/jdmex/","name":"Reporting guidelines to increase the reproducibility and comparability of research on microplastics 1"}]},"legacy_ids":["bsg-001463","bsg-s001463"],"name":"FAIRsharing record for: Reporting guidelines to increase the reproducibility and comparability of research on microplastics","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/1388","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of these reporting guidelines is to inform the critical method components which should be reported to reproduce a study. These can be used to develop databases for studies, develop new methodologies that better control for these factors, and referenced when publishing to ensure that a study is reproducible. We have formatted the documentation into a summarized and detailed version. We expect that the detailed documentation will be especially useful for new microplastic practitioners who are just entering the field. As well, the summarized versions of the documentation will be useful for practitioners who know the field well. These are living documents hosted on Open Science Framework to allow for comments on the microplastic reporting guidelines. All reporting guideline documents are open access and hold a CC By 4.0 license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science","Ecology"],"domains":["Environmental contaminant"],"taxonomies":["Not applicable"],"user_defined_tags":["microplastic","plastic","plastic pollution"],"countries":["United States"],"publications":[{"id":2974,"pubmed_id":null,"title":"Reporting Guidelines to Increase the Reproducibility and Comparability of Research on Microplastics","year":2020,"url":"https://journals.sagepub.com/doi/10.1177/0003702820930292","authors":"W.Cowger, A.M.Booth, B. M.Hamilton, C.Thaysen, S.Primpke, K.Munno, A.L.Lusher, A.Dehaut, V.P.Vaz, M.Liboiron, L.I.Devriese, L.Hermabessiere, C.Rochman, S.N.Athey, J.M.Lynch, H.De Frond, A.Gray, O.A.H.Jones, S.Brander, C.Steele, S.Moore, A.Sanchez, H.Nel","journal":"Applied Spectroscopy","doi":null,"created_at":"2021-09-30T08:28:06.466Z","updated_at":"2021-09-30T08:28:06.466Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":135,"relation":"undefined"}],"grants":[{"id":7354,"fairsharing_record_id":1388,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:28:34.733Z","updated_at":"2021-09-30T09:28:34.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7355,"fairsharing_record_id":1388,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:34.775Z","updated_at":"2021-09-30T09:31:01.850Z","grant_id":985,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Graduate Research Fellowship","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1380","type":"fairsharing_records","attributes":{"created_at":"2020-09-28T12:26:15.000Z","updated_at":"2022-07-20T12:40:52.340Z","metadata":{"doi":"10.25504/FAIRsharing.21a6c6","name":"NABON Breast Cancer Audit - Radiotherapy","status":"ready","contacts":[{"contact_name":"DICA Servicedesk","contact_email":"fair@mrdm.nl"},{"contact_name":"DICA information analysis","contact_email":"informatieanalyse@dica.nl","contact_orcid":null}],"homepage":"https://github.com/mrdm-nl/dica-set-nbcar","citations":[],"identifier":1380,"description":"The NABON Breast Cancer Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of breast carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the NBCA-R data.","abbreviation":"NBCA-R","support_links":[{"url":"https://support.mrdm.nl/","name":"Support website","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001530","bsg-s001530"],"name":"FAIRsharing record for: NABON Breast Cancer Audit - Radiotherapy","abbreviation":"NBCA-R","url":"https://fairsharing.org/10.25504/FAIRsharing.21a6c6","doi":"10.25504/FAIRsharing.21a6c6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NABON Breast Cancer Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of breast carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the NBCA-R data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Oncology","Medical Physics","Biomedical Science","Radiobiology"],"domains":["Cancer","Tumor","Patient care","Radiotherapy","Mammary gland"],"taxonomies":["Homo sapiens"],"user_defined_tags":["axilla","breast","Breast cancer","dose","Dose Volume Histogram","fraction","lymph nodes"],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"DICA License and Terms of Use","licence_id":242,"licence_url":"http://dica.nl/media/2033/20190425%20DCRA%20ENG%20reglement.pdf","link_id":2457,"relation":"applies_to_content"}],"grants":[{"id":8490,"fairsharing_record_id":1380,"organisation_id":1906,"relation":"collaborates_on","created_at":"2021-10-04T20:37:58.141Z","updated_at":"2021-10-04T20:37:58.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1906,"name":"MRDM","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":7335,"fairsharing_record_id":1380,"organisation_id":2111,"relation":"collaborates_on","created_at":"2021-09-30T09:28:34.123Z","updated_at":"2021-10-04T20:37:58.250Z","grant_id":null,"is_lead":false,"saved_state":{"id":2111,"name":"Nederlandse Vereniging voor Radiotherapie en Oncologie (NVRO)","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":7334,"fairsharing_record_id":1380,"organisation_id":795,"relation":"maintains","created_at":"2021-09-30T09:28:34.088Z","updated_at":"2021-10-04T20:37:58.165Z","grant_id":null,"is_lead":true,"saved_state":{"id":795,"name":"Dutch Institute for Clinical Auditing (DICA)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1381","type":"fairsharing_records","attributes":{"created_at":"2019-12-18T11:14:58.000Z","updated_at":"2022-08-08T08:04:02.856Z","metadata":{"doi":"10.25504/FAIRsharing.gVJjIW","name":"NeuroNames","status":"ready","contacts":[{"contact_name":"Douglas M. Bowden, MD","contact_email":"dmbowden@u.washington.edu"}],"homepage":"http://braininfo.org/Nnont.aspx","citations":[{"doi":"10.1007/s12021-011-9128-8","pubmed_id":21789500,"publication_id":2668}],"identifier":1381,"description":"The NeuroNames ontology is designed to accommodate all of the English and Latin names (words and multiword terms) used by neuroscientists to reference all neuroanatomic concepts (word definitions and images) in the neuroscience literature of the last 50 years. Every name is classified as either a standard name or a synonym for the concept it represents. Some synonyms (multiple names for the same structure) are also homonyms (same name for different structures). Later the names for approximately 1000 structures encountered in neuroanatomic textbooks of six other languages were incorporated: French, German, Italian, Indonesian, Russian, and Spanish. Since 1992, the entire NeuroNames name set has been a regularly updated Source Vocabulary for the National Library of Medicine’s Unified Medical Language System under the abbreviation NN-. PubMed uses the synonym lists of NeuroNames to retrieve abstracts of articles in which authors have used different names for a structure than the search term submitted by the user.","abbreviation":"NN","support_links":[{"url":"http://braininfo.org/NeuroNames%20JSON%20Manual.pdf","name":"NeuroNames JSON Manual (PDF)","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001422","bsg-s001422"],"name":"FAIRsharing record for: NeuroNames","abbreviation":"NN","url":"https://fairsharing.org/10.25504/FAIRsharing.gVJjIW","doi":"10.25504/FAIRsharing.gVJjIW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NeuroNames ontology is designed to accommodate all of the English and Latin names (words and multiword terms) used by neuroscientists to reference all neuroanatomic concepts (word definitions and images) in the neuroscience literature of the last 50 years. Every name is classified as either a standard name or a synonym for the concept it represents. Some synonyms (multiple names for the same structure) are also homonyms (same name for different structures). Later the names for approximately 1000 structures encountered in neuroanatomic textbooks of six other languages were incorporated: French, German, Italian, Indonesian, Russian, and Spanish. Since 1992, the entire NeuroNames name set has been a regularly updated Source Vocabulary for the National Library of Medicine’s Unified Medical Language System under the abbreviation NN-. PubMed uses the synonym lists of NeuroNames to retrieve abstracts of articles in which authors have used different names for a structure than the search term submitted by the user.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neuroscience"],"domains":["Bioimaging"],"taxonomies":["Homo sapiens","Macaca","Mus","Rattus"],"user_defined_tags":["Central nervous system","Neuroanatomy","Neuroinformatics"],"countries":["United States"],"publications":[{"id":2668,"pubmed_id":21789500,"title":"NeuroNames: an ontology for the BrainInfo portal to neuroscience on the web.","year":2011,"url":"http://doi.org/10.1007/s12021-011-9128-8","authors":"Bowden DM, Song E, Kosheleva J, Dubach MF","journal":"Neuroinformatics","doi":"10.1007/s12021-011-9128-8","created_at":"2021-09-30T08:27:27.588Z","updated_at":"2021-09-30T08:27:27.588Z"},{"id":3009,"pubmed_id":null,"title":"Informatics for Interoperability of Molecular-Genetic and Neurobehavioral Databases","year":2018,"url":"https://www.elsevier.com/books/molecular-genetic-and-statistical-techniques-for-behavioral-and-neural-research/gerlai/978-0-12-804078-2","authors":"Bowden D.M., Dubach M.F., Dong E.","journal":"Chapter 2: Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research (ed Gerlai, RT)","doi":null,"created_at":"2021-09-30T08:28:10.982Z","updated_at":"2021-09-30T08:28:10.982Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2023,"relation":"undefined"}],"grants":[{"id":7339,"fairsharing_record_id":1381,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:28:34.261Z","updated_at":"2021-09-30T09:28:34.261Z","grant_id":null,"is_lead":true,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7336,"fairsharing_record_id":1381,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:34.175Z","updated_at":"2021-09-30T09:29:17.760Z","grant_id":182,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"LM/OD-06243","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7338,"fairsharing_record_id":1381,"organisation_id":1274,"relation":"funds","created_at":"2021-09-30T09:28:34.226Z","updated_at":"2021-09-30T09:29:42.812Z","grant_id":371,"is_lead":false,"saved_state":{"id":1274,"name":"Human Brain Project","grant":"MHO69259","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9263,"fairsharing_record_id":1381,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.314Z","updated_at":"2022-04-11T12:07:26.328Z","grant_id":1482,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"RR-00166","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1382","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T10:12:35.000Z","updated_at":"2022-12-14T08:18:14.076Z","metadata":{"doi":"10.25504/FAIRsharing.7E950R","name":"VOResource - an XML Encoding Schema for IVOA Resource Metadata","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/VOResource/index.html","citations":[{"publication_id":2960}],"identifier":1382,"description":"VOResource is an XML encoding standard for IVOA Resource Metadata. This schema is primarily intended to support metadata exchange between and resource discovery in interoperable registries. However, any application that needs to describe resources may use this schema. In this document, we define the types and elements that make up the schema in close alignment to the metadata terms defined in Resource Metadata for the Virtual Observatory, but also taking into account other metadata standards as well as experiences from the operation of the VO Registry. We also describe the general model for the schema and explain how it may be extended to add new metadata terms and describe more specific types of resources.","abbreviation":"VOResource","support_links":[{"url":"http://www.ivoa.net/documents/VOResource/20171107/PR-VOResource-1.1-20171107.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOResourceNext","name":"VOResource - Next Steps (Wiki)","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOResource11RFC","name":"VOResource - RFC (Wiki)","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001201","bsg-s001201"],"name":"FAIRsharing record for: VOResource - an XML Encoding Schema for IVOA Resource Metadata","abbreviation":"VOResource","url":"https://fairsharing.org/10.25504/FAIRsharing.7E950R","doi":"10.25504/FAIRsharing.7E950R","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOResource is an XML encoding standard for IVOA Resource Metadata. This schema is primarily intended to support metadata exchange between and resource discovery in interoperable registries. However, any application that needs to describe resources may use this schema. In this document, we define the types and elements that make up the schema in close alignment to the metadata terms defined in Resource Metadata for the Virtual Observatory, but also taking into account other metadata standards as well as experiences from the operation of the VO Registry. We also describe the general model for the schema and explain how it may be extended to add new metadata terms and describe more specific types of resources.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11489},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13356}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2960,"pubmed_id":null,"title":"VOResource: an XML Encoding Schema for Resource Metadata Version 1.1","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0625P","authors":"Plante, Raymond; Demleitner, Markus; Benson, Kevin; Graham, Matthew; Greene, Gretchen; Harrison, Paul; Lemson, Gerard; Linde, Tony; Rixon, Guy","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.793Z","updated_at":"2021-09-30T08:28:04.793Z"}],"licence_links":[],"grants":[{"id":7340,"fairsharing_record_id":1382,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.285Z","updated_at":"2021-09-30T09:28:34.285Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7341,"fairsharing_record_id":1382,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:34.309Z","updated_at":"2021-09-30T09:28:34.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1383","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T12:42:48.000Z","updated_at":"2022-12-14T08:17:45.956Z","metadata":{"doi":"10.25504/FAIRsharing.g2ChgH","name":"VOTable Format Definition","status":"ready","contacts":[{"contact_name":"Applications Working Group","contact_email":"apps@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/VOTable/","citations":[{"publication_id":2930}],"identifier":1383,"description":"Astronomers have always been at the forefront of developments in information technology, and funding agencies across the world have recognized this by supporting the Virtual Observatory movement, in the hopes that other sciences and business can follow their lead in making online data both interoperable and scalable. VOTable is designed as a flexible storage and exchange format for tabular data, with particular emphasis on astronomical tables. The VOTable format is an XML standard for the interchange of data represented as a set of tables. In this context, a table is an unordered set of rows, each of a uniform structure, as specified in the table description (the table metadata). Each row in a table is a sequence of table cells, and each of these contains either a primitive data type, or an array of such primitives. VOTable is derived from the Astrores format, itself modeled on the FITS Table format; VOTable was designed to be close to the FITS Binary Table format.","abbreviation":"VOTable","support_links":[{"url":"m.b.taylor@bristol.ac.uk","name":"M. Taylor","type":"Support email"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOTableIssues13","name":"Issues with version 1.3","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001144","bsg-s001144"],"name":"FAIRsharing record for: VOTable Format Definition","abbreviation":"VOTable","url":"https://fairsharing.org/10.25504/FAIRsharing.g2ChgH","doi":"10.25504/FAIRsharing.g2ChgH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Astronomers have always been at the forefront of developments in information technology, and funding agencies across the world have recognized this by supporting the Virtual Observatory movement, in the hopes that other sciences and business can follow their lead in making online data both interoperable and scalable. VOTable is designed as a flexible storage and exchange format for tabular data, with particular emphasis on astronomical tables. The VOTable format is an XML standard for the interchange of data represented as a set of tables. In this context, a table is an unordered set of rows, each of a uniform structure, as specified in the table description (the table metadata). Each row in a table is a sequence of table cells, and each of these contains either a primitive data type, or an array of such primitives. VOTable is derived from the Astrores format, itself modeled on the FITS Table format; VOTable was designed to be close to the FITS Binary Table format.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11491}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Integration","Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France","Germany","United Kingdom","United States"],"publications":[{"id":2930,"pubmed_id":null,"title":"VOTable Format Definition Version 1.3","year":2013,"url":"http://dx.doi.org/10.5479/ADS/bib/2013ivoa.spec.0920O","authors":"Ochsenbein, Francois; Taylor, Mark; Williams, Roy; Davenhall, Clive; Demleitner, Markus; Durand, Daniel; Fernique, Pierre; Giaretta, David; Hanisch, Robert; McGlynn, Tom; Szalay, Alex; Wicenec, Andreas","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:00.966Z","updated_at":"2021-09-30T08:28:00.966Z"}],"licence_links":[],"grants":[{"id":7343,"fairsharing_record_id":1383,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:34.360Z","updated_at":"2021-09-30T09:28:34.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7342,"fairsharing_record_id":1383,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.336Z","updated_at":"2021-09-30T09:28:34.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1367","type":"fairsharing_records","attributes":{"created_at":"2015-07-22T11:39:04.000Z","updated_at":"2022-07-20T12:35:42.118Z","metadata":{"doi":"10.25504/FAIRsharing.1t5ws6","name":"Data Documentation Initiative Lifecycle","status":"ready","contacts":[{"contact_name":"Wendy Thomas","contact_email":"wlt@umn.edu","contact_orcid":"0000-0003-1294-4490"}],"homepage":"https://ddialliance.org/Specification/DDI-Lifecycle/3.3/","identifier":1367,"description":"Data Documentation Initiative (DDI) Lifecycle (DDI-Lifecycle, DDI-L) is designed to document and manage data across the entire life cycle, from conceptualization to data publication, analysis and beyond. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world. It encompasses all of the DDI-Codebook specification and extends it. Based on XML Schemas, DDI-Lifecycle is modular and extensible.","abbreviation":"DDI-Lifecycle","support_links":[{"url":"http://www.ddialliance.org/contact-us","name":"Contact Form","type":"Contact form"},{"url":"ddi@icpsr.umich.edu","name":"General Contact","type":"Support email"},{"url":"http://www.ddialliance.org/resources/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ddialliance.org/Specification/DDI-Lifecycle/3.3/DDI_3_3_2020-04-15.zip","name":"Download Documentation (ZIP)","type":"Help documentation"},{"url":"http://www.ddialliance.org/system/files/DDI%203.2%20Best%20Practices_0.pdf","name":"Implementation Guide","type":"Help documentation"},{"url":"https://ddi-lifecycle-technical-guide.readthedocs.io/en/latest/","name":"Technical Guide","type":"Help documentation"},{"url":"https://ddialliance.github.io/ddimodel-web/DDI-L-3.3/","name":"DDI-L Model Documentation v3.3","type":"Github"},{"url":"http://www.ddialliance.org/training/training-library","name":"Training Library","type":"Training documentation"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"}],"year_creation":2008,"associated_tools":[{"url":"http://www.ddialliance.org/resources/tools","name":"DDI Tools"}]},"legacy_ids":["bsg-000605","bsg-s000605"],"name":"FAIRsharing record for: Data Documentation Initiative Lifecycle","abbreviation":"DDI-Lifecycle","url":"https://fairsharing.org/10.25504/FAIRsharing.1t5ws6","doi":"10.25504/FAIRsharing.1t5ws6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Documentation Initiative (DDI) Lifecycle (DDI-Lifecycle, DDI-L) is designed to document and manage data across the entire life cycle, from conceptualization to data publication, analysis and beyond. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world. It encompasses all of the DDI-Codebook specification and extends it. Based on XML Schemas, DDI-Lifecycle is modular and extensible.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18234},{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17358},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10996},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13360},{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13362}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Economics","Social Science","Health Science","Social and Behavioural Science","Biomedical Science"],"domains":["Questionnaire","Study design","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1417,"pubmed_id":null,"title":"The data documentation initiative: a preservation standard for research","year":2007,"url":"http://doi.org/10.1007/s10502-006-9036-0","authors":"Rasmussen KB, Blank G","journal":"Archival Science","doi":"10.1007/s10502-006-9036-0","created_at":"2021-09-30T08:24:58.326Z","updated_at":"2021-09-30T08:24:58.326Z"},{"id":1421,"pubmed_id":null,"title":"The Data Documentation Initiative The Value and Significance of a Worldwide Standard","year":2004,"url":"https://doi.org/10.1177/0894439304263144","authors":"Blank G","journal":"Social Science Computer Review","doi":null,"created_at":"2021-09-30T08:24:58.836Z","updated_at":"2021-09-30T11:28:32.534Z"},{"id":2433,"pubmed_id":null,"title":"Data Documentation Initiative: Toward a Standard for the Social Sciences","year":2008,"url":"http://doi.org/10.2218/ijdc.v3i1.45","authors":"Mary Vardigan, Pascal Heus, Wendy Thomas","journal":"International Journal of Digital Curation","doi":"10.2218/ijdc.v3i1.45","created_at":"2021-09-30T08:26:58.529Z","updated_at":"2021-09-30T08:26:58.529Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1638,"relation":"undefined"}],"grants":[{"id":7306,"fairsharing_record_id":1367,"organisation_id":649,"relation":"funds","created_at":"2021-09-30T09:28:33.290Z","updated_at":"2021-09-30T09:28:33.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7307,"fairsharing_record_id":1367,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:33.318Z","updated_at":"2021-09-30T09:32:37.980Z","grant_id":1709,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"SBR-9617813","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7305,"fairsharing_record_id":1367,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:28:33.267Z","updated_at":"2021-09-30T09:28:33.267Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1368","type":"fairsharing_records","attributes":{"created_at":"2020-04-25T14:05:16.000Z","updated_at":"2022-07-20T13:08:22.263Z","metadata":{"doi":"10.25504/FAIRsharing.69226e","name":"Humanities and Social Science Electronic Thesaurus","status":"ready","contacts":[{"contact_name":"Matthew Woollard","contact_email":"matthew@essex.ac.uk","contact_orcid":"0000-0002-1077-4312"}],"homepage":"https://hasset.ukdataservice.ac.uk/","identifier":1368,"description":"The Humanities and Social Science Electronic Thesaurus (HASSET) is the leading British English thesaurus for the social sciences. HASSET has been compiled at the UK Data Archive for over forty years. It was developed initially as an information retrieval tool to access data deposited in the UK Data Archive. Its scope has now expanded to cover the collections held by the UK Data Service.","abbreviation":"HASSET","support_links":[{"url":"https://www.ukdataservice.ac.uk/news-and-events.aspx","name":"News \u0026 events","type":"Blog/News"},{"url":"https://www.linkedin.com/company/uk-data-service/?originalSubdomain=uk","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.facebook.com/UKDataService","name":"Facebook","type":"Facebook"},{"url":"https://www.ukdataservice.ac.uk/help/get-in-touch.aspx","name":"Get in touch","type":"Help documentation"},{"url":"https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=UKDATASERVICE","type":"Mailing list"},{"url":"https://www.youtube.com/user/UKDATASERVICE","name":"Youtube","type":"Video"},{"url":"https://twitter.com/UKDataService","type":"Twitter"}],"year_creation":2012},"legacy_ids":["bsg-001465","bsg-s001465"],"name":"FAIRsharing record for: Humanities and Social Science Electronic Thesaurus","abbreviation":"HASSET","url":"https://fairsharing.org/10.25504/FAIRsharing.69226e","doi":"10.25504/FAIRsharing.69226e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Humanities and Social Science Electronic Thesaurus (HASSET) is the leading British English thesaurus for the social sciences. HASSET has been compiled at the UK Data Archive for over forty years. It was developed initially as an information retrieval tool to access data deposited in the UK Data Archive. Its scope has now expanded to cover the collections held by the UK Data Service.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12559}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Environmental Science","Demographics","Social Science","Health Science","Public Law","Biomedical Science","Political Science","Epidemiology","Communication Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Sociology"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":661,"relation":"undefined"}],"grants":[{"id":7309,"fairsharing_record_id":1368,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:28:33.367Z","updated_at":"2021-09-30T09:28:33.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7308,"fairsharing_record_id":1368,"organisation_id":2902,"relation":"funds","created_at":"2021-09-30T09:28:33.342Z","updated_at":"2021-09-30T09:28:33.342Z","grant_id":null,"is_lead":false,"saved_state":{"id":2902,"name":"UK Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7310,"fairsharing_record_id":1368,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:33.393Z","updated_at":"2021-09-30T09:28:33.393Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7311,"fairsharing_record_id":1368,"organisation_id":1600,"relation":"maintains","created_at":"2021-09-30T09:28:33.418Z","updated_at":"2021-09-30T09:28:33.418Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1395","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T15:41:21.000Z","updated_at":"2021-11-24T13:16:34.922Z","metadata":{"doi":"10.25504/FAIRsharing.hp9s46","name":"Climate and Forecast metadata conventions","status":"ready","contacts":[{"contact_name":"Jonathan Gregory","contact_email":"j.m.gregory@reading.ac.uk"}],"homepage":"http://cfconventions.org","identifier":1395,"description":"Climate and Forecast metadata conventions define metadata that provide a definitive description of what the data in each variable represents, and the spatial and temporal properties of the data. This enables users of data from different sources to decide which quantities are comparable, and facilitates building applications with powerful extraction, regridding, and display capabilities. The CF conventions generalise and extend the COARDS conventions","abbreviation":"CF metadata convention","support_links":[{"url":"http://cfconventions.org/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cfconventions.org/latest.html","name":"Latest CV Convention Documents","type":"Help documentation"},{"url":"http://cfconventions.org/Data/cf-documents/overview/viewgraphs.pdf","name":"online document","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-000709","bsg-s000709"],"name":"FAIRsharing record for: Climate and Forecast metadata conventions","abbreviation":"CF metadata convention","url":"https://fairsharing.org/10.25504/FAIRsharing.hp9s46","doi":"10.25504/FAIRsharing.hp9s46","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Climate and Forecast metadata conventions define metadata that provide a definitive description of what the data in each variable represents, and the spatial and temporal properties of the data. This enables users of data from different sources to decide which quantities are comparable, and facilitates building applications with powerful extraction, regridding, and display capabilities. The CF conventions generalise and extend the COARDS conventions","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Natural Science","Earth Science","Atmospheric Science","Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Forecasting"],"countries":["United Kingdom","United States"],"publications":[{"id":2506,"pubmed_id":null,"title":"A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1)","year":2017,"url":"https://doi.org/10.5194/gmd-10-4619-2017","authors":"Hassell, D., Gregory, J., Blower, J., Lawrence, B. N. and Taylor, K. E","journal":"Geoscientific Model Development","doi":null,"created_at":"2021-09-30T08:27:07.586Z","updated_at":"2021-09-30T11:28:36.079Z"}],"licence_links":[],"grants":[{"id":7372,"fairsharing_record_id":1395,"organisation_id":1692,"relation":"maintains","created_at":"2021-09-30T09:28:35.367Z","updated_at":"2021-09-30T09:28:35.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":1692,"name":"Lawrence Livermore National Laboratory (LLNL), USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7370,"fairsharing_record_id":1395,"organisation_id":3118,"relation":"maintains","created_at":"2021-09-30T09:28:35.315Z","updated_at":"2021-09-30T09:28:35.315Z","grant_id":null,"is_lead":false,"saved_state":{"id":3118,"name":"University of Reading, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7371,"fairsharing_record_id":1395,"organisation_id":1823,"relation":"undefined","created_at":"2021-09-30T09:28:35.336Z","updated_at":"2021-09-30T09:28:35.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":1823,"name":"Met Office, UK","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1396","type":"fairsharing_records","attributes":{"created_at":"2018-10-12T19:29:23.000Z","updated_at":"2022-07-20T12:52:22.138Z","metadata":{"doi":"10.25504/FAIRsharing.edfd85","name":"Access to Biological Collection Databases Extended for Geosciences","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@mfn-berlin.de"}],"homepage":"http://www.geocase.eu/efg","citations":[{"publication_id":15}],"identifier":1396,"description":"Access to Biological Collection Databases Extended for Geosciences (ABCDEFG) is an XML Schema developed for use with palaeontological, mineralogical and geological digitalized collection data. It extends the ABCD XML Schema used by GBIF (Global Biodiversity Information Facility).","abbreviation":"ABCDEFG","support_links":[{"url":"http://www.geocase.eu/contact","name":"GeoCASe Contact Form","type":"Contact form"},{"url":"http://www.geocase.eu/sites/default/documentation/html/efg.html","name":"Documentation for XSD","type":"Help documentation"},{"url":"https://github.com/tdwg/efg","name":"GitHub Project","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-001323","bsg-s001323"],"name":"FAIRsharing record for: Access to Biological Collection Databases Extended for Geosciences","abbreviation":"ABCDEFG","url":"https://fairsharing.org/10.25504/FAIRsharing.edfd85","doi":"10.25504/FAIRsharing.edfd85","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Access to Biological Collection Databases Extended for Geosciences (ABCDEFG) is an XML Schema developed for use with palaeontological, mineralogical and geological digitalized collection data. It extends the ABCD XML Schema used by GBIF (Global Biodiversity Information Facility).","linked_records":[],"linking_records":[{"linking_record_name":"Biological Collection Access Service","linking_record_id":4209,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14914}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Soil Science","Geology","Paleontology","Earth Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":15,"pubmed_id":null,"title":"History and development of ABCDEFG: a data standard for geosciences","year":2018,"url":"https://doi.org/10.5194/fr-21-47-2018","authors":"Petersen, M., Glöckler, F., Kiessling, W., Döring, M., Fichtmüller, D., Laphakorn, L., Baltruschat, B. \u0026 Hoffmann, J.","journal":"Fossil Record","doi":null,"created_at":"2021-09-30T08:22:22.081Z","updated_at":"2021-09-30T08:22:22.081Z"}],"licence_links":[],"grants":[{"id":7373,"fairsharing_record_id":1396,"organisation_id":1919,"relation":"maintains","created_at":"2021-09-30T09:28:35.408Z","updated_at":"2021-09-30T09:28:35.408Z","grant_id":null,"is_lead":true,"saved_state":{"id":1919,"name":"Museum fur Naturkunde, Berlin, Germany","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":7374,"fairsharing_record_id":1396,"organisation_id":977,"relation":"maintains","created_at":"2021-09-30T09:28:35.450Z","updated_at":"2021-09-30T09:28:35.450Z","grant_id":null,"is_lead":true,"saved_state":{"id":977,"name":"Extension for Geosciences (EFG) Task Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1397","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T20:41:30.000Z","updated_at":"2022-07-20T09:16:37.042Z","metadata":{"doi":"10.25504/FAIRsharing.496b25","name":"EarthResourceML","status":"ready","contacts":[{"contact_name":"Jouni Vuollo","contact_email":"jouni.vuollo@gtk.fi"}],"homepage":"http://earthresourceml.org/","citations":[],"identifier":1397,"description":"EarthResourceML is an XML-based data transfer standard for the exchange of digital information for mineral occurrences, mines and mining activity. The model describes the geological features of mineral occurrences, their commodities, mineral resources and reserves. It is also able to describe mines and mining activities, and the production of concentrates, refined products, and waste materials.","abbreviation":"ERML","support_links":[{"url":"CGIsecretariat@mail.cgs.gov.cn","name":"Support Email","type":"Support email"},{"url":"http://earthresourceml.org/earthresourceml/2.0/doc/ERML_HTML_Documentation/","name":"Documentation","type":"Help documentation"},{"url":"https://cgi-iugs.org/project/earthresourceml/","name":"About EarthResourceML","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001545","bsg-s001545"],"name":"FAIRsharing record for: EarthResourceML","abbreviation":"ERML","url":"https://fairsharing.org/10.25504/FAIRsharing.496b25","doi":"10.25504/FAIRsharing.496b25","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EarthResourceML is an XML-based data transfer standard for the exchange of digital information for mineral occurrences, mines and mining activity. The model describes the geological features of mineral occurrences, their commodities, mineral resources and reserves. It is also able to describe mines and mining activities, and the production of concentrates, refined products, and waste materials.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geology","Mineralogy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Mining"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7375,"fairsharing_record_id":1397,"organisation_id":564,"relation":"maintains","created_at":"2021-09-30T09:28:35.510Z","updated_at":"2021-09-30T09:28:35.510Z","grant_id":null,"is_lead":true,"saved_state":{"id":564,"name":"Commission for the Management and Application of Geoscience Information (CGI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1398","type":"fairsharing_records","attributes":{"created_at":"2020-11-19T11:21:26.000Z","updated_at":"2021-11-24T13:17:43.507Z","metadata":{"doi":"10.25504/FAIRsharing.1943d4","name":"Comma-separated Values","status":"ready","homepage":"https://tools.ietf.org/html/rfc4180","identifier":1398,"description":"A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. The use of the comma as a field separator is the source of the name for this file format. A CSV file typically stores tabular data (numbers and text) in plain text, in which case each line will have the same number of fields.","abbreviation":"CSV","support_links":[{"url":"https://github.com/w3c/csvw","name":"W3C csv WG documentation","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-001546","bsg-s001546"],"name":"FAIRsharing record for: Comma-separated Values","abbreviation":"CSV","url":"https://fairsharing.org/10.25504/FAIRsharing.1943d4","doi":"10.25504/FAIRsharing.1943d4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. The use of the comma as a field separator is the source of the name for this file format. A CSV file typically stores tabular data (numbers and text) in plain text, in which case each line will have the same number of fields.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14729}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7376,"fairsharing_record_id":1398,"organisation_id":3200,"relation":"maintains","created_at":"2021-09-30T09:28:35.547Z","updated_at":"2021-09-30T09:28:35.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":3200,"name":"W3C - CSV on the Web Community Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1399","type":"fairsharing_records","attributes":{"created_at":"2020-05-26T09:27:07.000Z","updated_at":"2022-07-20T09:20:05.233Z","metadata":{"doi":"10.25504/FAIRsharing.d7d475","name":"Evaluated Nuclear Data File","status":"ready","contacts":[{"contact_name":"David Brown","contact_email":"dbrown@bnl.gov"}],"homepage":"https://www.oecd-nea.org/dbdata/data/manual-endf/endf102.pdf","citations":[],"identifier":1399,"description":"To ensure a level of quality required to protect the public, experimental nuclear data results are occasionally evaluated by a Nuclear Data Organization to form a standard nuclear data library. These organizations review multiple measurements and agree upon the highest-quality measurements before publishing the libraries. For unmeasured or very complex data regimes, the parameters of nuclear models are adjusted until the resulting data matches well with critical experiments. The result of an evaluation is almost universally stored as a set of data files in Evaluated Nuclear Data File (ENDF) format.","abbreviation":"ENDF","year_creation":2006},"legacy_ids":["bsg-001484","bsg-s001484"],"name":"FAIRsharing record for: Evaluated Nuclear Data File","abbreviation":"ENDF","url":"https://fairsharing.org/10.25504/FAIRsharing.d7d475","doi":"10.25504/FAIRsharing.d7d475","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To ensure a level of quality required to protect the public, experimental nuclear data results are occasionally evaluated by a Nuclear Data Organization to form a standard nuclear data library. These organizations review multiple measurements and agree upon the highest-quality measurements before publishing the libraries. For unmeasured or very complex data regimes, the parameters of nuclear models are adjusted until the resulting data matches well with critical experiments. The result of an evaluation is almost universally stored as a set of data files in Evaluated Nuclear Data File (ENDF) format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Nuclear Medicine","Data Quality","Virology","Biomedical Science","Epidemiology"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19","Nuclear physics"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7377,"fairsharing_record_id":1399,"organisation_id":326,"relation":"maintains","created_at":"2021-09-30T09:28:35.584Z","updated_at":"2022-07-11T08:34:59.525Z","grant_id":null,"is_lead":true,"saved_state":{"id":326,"name":"Brookhaven National Laboratory","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1522","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:22:57.089Z","metadata":{"doi":"10.25504/FAIRsharing.85k1jm","name":"International Classification of Diseases Version 10 - Procedure Coding System","status":"ready","contacts":[{"contact_name":"Pat Brooks","contact_email":"patricia.brooks2@cms.hhs.gov"}],"homepage":"https://www.cms.gov/Medicare/Coding/ICD10/2020-ICD-10-PCS","identifier":1522,"description":"The ICD-10 Procedure Coding System (ICD-10-PCS) is an international system of medical classification used for procedural coding. The ICD-10-PCS is a procedure classification published by the United States for classifying procedures performed in hospital inpatient health care settings. The ICD-10-PCS replaces the procedural coding portion (Volume 3) of ICD-9-CM.","abbreviation":"ICD-10-PCS","support_links":[{"url":"https://www.cms.gov/Medicare/Coding/ICD10/Downloads/2020-ICD-10-PCS-Guidelines.pdf","name":"ICD-10-PCS Guidelines","type":"Help documentation"},{"url":"https://www.cms.gov/Medicare/Coding/ICD10/Downloads/2020-PCS-Update-Summary-.pdf","name":"ICD-10-PCS 2020 Version Update Summary","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ICD-10_Procedure_Coding_System","name":"ICD-10-PCS Wikipedia entry","type":"Wikipedia"}],"year_creation":2014},"legacy_ids":["bsg-002650","bsg-s002650"],"name":"FAIRsharing record for: International Classification of Diseases Version 10 - Procedure Coding System","abbreviation":"ICD-10-PCS","url":"https://fairsharing.org/10.25504/FAIRsharing.85k1jm","doi":"10.25504/FAIRsharing.85k1jm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICD-10 Procedure Coding System (ICD-10-PCS) is an international system of medical classification used for procedural coding. The ICD-10-PCS is a procedure classification published by the United States for classifying procedures performed in hospital inpatient health care settings. The ICD-10-PCS replaces the procedural coding portion (Volume 3) of ICD-9-CM.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12021},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12452}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science","Epidemiology"],"domains":["Electronic health record","Hospital","Disease","Diagnosis","Classification","Morbidity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7623,"fairsharing_record_id":1522,"organisation_id":443,"relation":"maintains","created_at":"2021-09-30T09:28:44.063Z","updated_at":"2021-09-30T09:28:44.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":443,"name":"Centers for Medicare \u0026 Medicaid Services (CMS), Department of Health and Human Services (HHS), Baltimore, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1524","type":"fairsharing_records","attributes":{"created_at":"2021-03-26T14:08:24.000Z","updated_at":"2023-03-23T13:56:01.314Z","metadata":{"name":"EJP RD Metadata model","status":"in_development","contacts":[{"contact_name":"Rajaram Kaliyaperumal","contact_email":"r.kaliyaperumal@lumc.nl","contact_orcid":"0000-0002-1215-167X"}],"homepage":"https://github.com/ejp-rd-vp/resource-metadata-schema","citations":[],"identifier":1524,"description":"As part of the European Joint Programme (EJP) for Rare Disease, we are developing standards for rare disease registries to describe their metadata that will improve the FAIR-ness of these resources. The core model is designed to represent data about a rare disease patient and biosample registries. The model is based on and builds on existing standards, such as the European Rare Disease Registry Infrastructure and the Common Data Elements from the rare disease community and other more generalised standards for data sharing such as the W3C DCAT vocabulary. We are also working to align with similar schema standarisation efforts such as RD connect semantic model, schema.org, bioschemas, MIABIS and GA4GH (see also schema blocks and phenopackets.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001602","bsg-s001602"],"name":"FAIRsharing record for: EJP RD Metadata model","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/1524","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As part of the European Joint Programme (EJP) for Rare Disease, we are developing standards for rare disease registries to describe their metadata that will improve the FAIR-ness of these resources. The core model is designed to represent data about a rare disease patient and biosample registries. The model is based on and builds on existing standards, such as the European Rare Disease Registry Infrastructure and the Common Data Elements from the rare disease community and other more generalised standards for data sharing such as the W3C DCAT vocabulary. We are also working to align with similar schema standarisation efforts such as RD connect semantic model, schema.org, bioschemas, MIABIS and GA4GH (see also schema blocks and phenopackets.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17641}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Clinical Studies"],"domains":["Rare disease","Biological sample"],"taxonomies":["Homo sapiens"],"user_defined_tags":["registry"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":207,"relation":"undefined"}],"grants":[{"id":7626,"fairsharing_record_id":1524,"organisation_id":834,"relation":"maintains","created_at":"2021-09-30T09:28:44.143Z","updated_at":"2021-09-30T09:28:44.143Z","grant_id":null,"is_lead":true,"saved_state":{"id":834,"name":"EJP RD","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1525","type":"fairsharing_records","attributes":{"created_at":"2021-04-01T23:51:45.000Z","updated_at":"2022-07-20T09:57:07.949Z","metadata":{"doi":"10.25504/FAIRsharing.QxlUSp","name":"ASLS - Soil Profile classifiers","status":"ready","contacts":[{"contact_name":"Andrew Biggs","contact_email":"andrew.biggs@resources.qld.gov.au"},{"contact_name":"Linda Gregory","contact_email":"linda.gregory@csiro.au","contact_orcid":null}],"homepage":"https://github.com/ANZSoilData/def-au-asls-soil-prof","citations":[],"identifier":1525,"description":"Machine-readable representation of the classifiers described in chapter 8 Soil Profile, by R.C. McDonald and R.F. Isbell, in Australian soil and land survey field handbook (3rd edn). A soil profile is a vertical section of a soil from the soil surface through all its horizons to parent material, other consolidated substrate material or selected depth in unconsolidated material. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","abbreviation":"soil-prof","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SOIL-PROF","name":"SOIL-PROF","portal":"BioPortal"}]},"legacy_ids":["bsg-001603","bsg-s001603"],"name":"FAIRsharing record for: ASLS - Soil Profile classifiers","abbreviation":"soil-prof","url":"https://fairsharing.org/10.25504/FAIRsharing.QxlUSp","doi":"10.25504/FAIRsharing.QxlUSp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Machine-readable representation of the classifiers described in chapter 8 Soil Profile, by R.C. McDonald and R.F. Isbell, in Australian soil and land survey field handbook (3rd edn). A soil profile is a vertical section of a soil from the soil surface through all its horizons to parent material, other consolidated substrate material or selected depth in unconsolidated material. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["soil carbon"],"countries":["Australia"],"publications":[{"id":2514,"pubmed_id":null,"title":"Australian Soil and Land Survey Handbook (Third Edition)","year":2009,"url":"https://www.publish.csiro.au/book/5230","authors":"National Committee on Soil and Terrain","journal":"CSIRO Publishing","doi":null,"created_at":"2021-09-30T08:27:08.484Z","updated_at":"2021-09-30T08:27:08.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":2719,"relation":"applies_to_content"}],"grants":[{"id":7627,"fairsharing_record_id":1525,"organisation_id":1980,"relation":"maintains","created_at":"2021-09-30T09:28:44.184Z","updated_at":"2021-09-30T09:28:44.184Z","grant_id":null,"is_lead":false,"saved_state":{"id":1980,"name":"National Committee on Soil and Terrain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1526","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:15:23.793Z","metadata":{"doi":"10.25504/FAIRsharing.reenq1","name":"Cultural Objects Name Authority","status":"ready","contacts":[{"contact_name":"CONA Editors","contact_email":"CONA@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/cona/index.html","identifier":1526,"description":"The Cultural Objects Name Authority (CONA) compiles titles, creator attributions, physical characteristics, depicted subjects, and other metadata about visual works, such as architecture, painting, sculpture, and many other types of works. CONA may contain information about objects that are ceremonial or utilitarian in nature, but are not necessarily labeled as art according to traditional Western aesthetics. Architecture, destroyed works, and works depicted in visual surrogates or other works are also included. CONA also includes Getty Iconography Authority (IA) , which resides in the same editorial system as CONA. The IA includes proper names and other information for named events, themes and narratives from religion/mythology, legendary and fictional characters, themes from literature, works of literature and performing arts, and legendary and fictional places. CONA and IA are part of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","abbreviation":"CONA","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabularies Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/cona/faq.html","name":"CONA and IA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/cona/help.html","name":"How to Use","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/cona/about.html","name":"About","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000966","bsg-s000966"],"name":"FAIRsharing record for: Cultural Objects Name Authority","abbreviation":"CONA","url":"https://fairsharing.org/10.25504/FAIRsharing.reenq1","doi":"10.25504/FAIRsharing.reenq1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cultural Objects Name Authority (CONA) compiles titles, creator attributions, physical characteristics, depicted subjects, and other metadata about visual works, such as architecture, painting, sculpture, and many other types of works. CONA may contain information about objects that are ceremonial or utilitarian in nature, but are not necessarily labeled as art according to traditional Western aesthetics. Architecture, destroyed works, and works depicted in visual surrogates or other works are also included. CONA also includes Getty Iconography Authority (IA) , which resides in the same editorial system as CONA. The IA includes proper names and other information for named events, themes and narratives from religion/mythology, legendary and fictional characters, themes from literature, works of literature and performing arts, and legendary and fictional places. CONA and IA are part of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Art History","Architecture","Literary Studies","Art","Fine Arts","History","Cultural Studies"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":566,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":567,"relation":"undefined"}],"grants":[{"id":7628,"fairsharing_record_id":1526,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:44.226Z","updated_at":"2021-09-30T09:28:44.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1527","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:55.523Z","metadata":{"doi":"10.25504/FAIRsharing.zvytda","name":"International Classification of Primary Care Version 2 PLUS","status":"ready","contacts":[{"contact_name":"NCCH General Contact","contact_email":"ncch@sydney.edu.au"}],"homepage":"http://sydney.edu.au/health-sciences/ncch/icpc-2-plus/overview.shtml","identifier":1527,"description":"The International Classification of Primary Care Version 2 PLUS (ICPC-2 PLUS, also known as the BEACH coding system) is a clinical terminology which extends the International Classification of Primary Care, Version 2 (ICPC-2). ICPC-2 PLUS can be used in age-sex disease registers, morbidity registers and full electronic health records in primary care. Primarily used in Australia, ICPC-2 PLUS is used within software packages and electronic health record (EHR) systems. It is also used in research projects, including the BEACH (Bettering the Evaluation And Care of Health) program, the national study of general practice activity. The terminology is therefore often referred to as the BEACH coding system. ICPC-2 PLUS has been specifically designed by the FMRC for use in computerised clinical systems, recall systems, disease registers and secondary coding of clinical data. It is not part of the ICPC-2 standard. Charges apply for end users of ICPC-2 PLUS. All end users must sign an ICPC-2 PLUS end user contract before being given access to ICPC-2 PLUS. The World Organization of Family Doctors (WONCA) and the WONCA International Classification Committee (WICC) have no control over it although they do have control over the ICPC classification which the PLUS extension makes use of.","abbreviation":"ICPC-2 PLUS","support_links":[{"url":"https://en.wikipedia.org/wiki/ICPC-2_PLUS","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICPC2P","name":"ICPC2P","portal":"BioPortal"}]},"legacy_ids":["bsg-002654","bsg-s002654"],"name":"FAIRsharing record for: International Classification of Primary Care Version 2 PLUS","abbreviation":"ICPC-2 PLUS","url":"https://fairsharing.org/10.25504/FAIRsharing.zvytda","doi":"10.25504/FAIRsharing.zvytda","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Primary Care Version 2 PLUS (ICPC-2 PLUS, also known as the BEACH coding system) is a clinical terminology which extends the International Classification of Primary Care, Version 2 (ICPC-2). ICPC-2 PLUS can be used in age-sex disease registers, morbidity registers and full electronic health records in primary care. Primarily used in Australia, ICPC-2 PLUS is used within software packages and electronic health record (EHR) systems. It is also used in research projects, including the BEACH (Bettering the Evaluation And Care of Health) program, the national study of general practice activity. The terminology is therefore often referred to as the BEACH coding system. ICPC-2 PLUS has been specifically designed by the FMRC for use in computerised clinical systems, recall systems, disease registers and secondary coding of clinical data. It is not part of the ICPC-2 standard. Charges apply for end users of ICPC-2 PLUS. All end users must sign an ICPC-2 PLUS end user contract before being given access to ICPC-2 PLUS. The World Organization of Family Doctors (WONCA) and the WONCA International Classification Committee (WICC) have no control over it although they do have control over the ICPC classification which the PLUS extension makes use of.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12521}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Primary Health Care","Biomedical Science","Preclinical Studies"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"ICPC-2 PLUS Licencing and Costs","licence_id":415,"licence_url":"http://sydney.edu.au/health-sciences/ncch/icpc-2-plus/overview.shtml","link_id":1115,"relation":"undefined"}],"grants":[{"id":7629,"fairsharing_record_id":1527,"organisation_id":3130,"relation":"maintains","created_at":"2021-09-30T09:28:44.264Z","updated_at":"2021-09-30T09:28:44.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":3130,"name":"University of Sydney, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1541","type":"fairsharing_records","attributes":{"created_at":"2015-06-24T14:57:09.000Z","updated_at":"2023-09-27T15:42:49.218Z","metadata":{"doi":"10.25504/FAIRsharing.npmpqg","name":"Biomedical Research Integrated Domain Group Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"awhite@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/domain-information-module/bridg","citations":[{"doi":"10.1197/jamia.M2556","pubmed_id":18096907,"publication_id":1227}],"identifier":1541,"description":"BRIDG is a domain analysis model that represents the realm of protocol-driven clinical, pre-clinical, translational and basic research. This breadth includes concepts from Common (i.e., concepts shared by all research protocols), Protocol Representation, Study Conduct, Adverse Events, Biospecimen, Molecular Biology, Experiment, Statistical Analysis and Regulatory subdomains. These research concepts provide a shared understanding of biomedical semantics (i.e., what each concept means and how it relates to other concepts) so that these semantics can be easily understood by subject matter experts in the biomedical domain.","abbreviation":"BRIDG","support_links":[{"url":"https://bridgmodel.nci.nih.gov/faq","name":"BRIDG FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"biomedrr@lists.hl7.org","name":"HL7 BR\u0026R Listserv Mailing list","type":"Mailing list"},{"url":"https://bridgmodel.nci.nih.gov/about-bridg","name":"About BRIDG","type":"Help documentation"},{"url":"https://bridgmodel.nci.nih.gov/bridg-news","name":"Release News","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000597","bsg-s000597"],"name":"FAIRsharing record for: Biomedical Research Integrated Domain Group Model","abbreviation":"BRIDG","url":"https://fairsharing.org/10.25504/FAIRsharing.npmpqg","doi":"10.25504/FAIRsharing.npmpqg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BRIDG is a domain analysis model that represents the realm of protocol-driven clinical, pre-clinical, translational and basic research. This breadth includes concepts from Common (i.e., concepts shared by all research protocols), Protocol Representation, Study Conduct, Adverse Events, Biospecimen, Molecular Biology, Experiment, Statistical Analysis and Regulatory subdomains. These research concepts provide a shared understanding of biomedical semantics (i.e., what each concept means and how it relates to other concepts) so that these semantics can be easily understood by subject matter experts in the biomedical domain.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17339},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11203},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11809},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12057},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12482},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16964}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens","Metazoa"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1227,"pubmed_id":18096907,"title":"The BRIDG project: a technical report.","year":2007,"url":"http://doi.org/10.1197/jamia.M2556","authors":"Fridsma DB,Evans J,Hastak S,Mead CN","journal":"J Am Med Inform Assoc","doi":"10.1197/jamia.M2556","created_at":"2021-09-30T08:24:36.866Z","updated_at":"2021-09-30T08:24:36.866Z"}],"licence_links":[{"licence_name":"CDISC Intellectual Property Policy","licence_id":110,"licence_url":"https://www.cdisc.org/sites/default/files/2020-09/cdisc_policy_003_intellectual_property_v2019.pdf","link_id":902,"relation":"undefined"}],"grants":[{"id":7659,"fairsharing_record_id":1541,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:45.445Z","updated_at":"2021-09-30T09:28:45.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative, Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":10958,"fairsharing_record_id":1541,"organisation_id":4125,"relation":"undefined","created_at":"2023-09-27T15:01:03.822Z","updated_at":"2023-09-27T15:01:03.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7660,"fairsharing_record_id":1541,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:45.477Z","updated_at":"2021-09-30T09:28:45.477Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"Clinical Data Interchange Standards Consortium","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1542","type":"fairsharing_records","attributes":{"created_at":"2016-09-20T12:11:29.000Z","updated_at":"2021-11-24T13:18:48.883Z","metadata":{"doi":"10.25504/FAIRsharing.pqzyd5","name":"MultiCellular Data Standard","status":"in_development","contacts":[{"contact_name":"Samuel Friedman","contact_email":"samuel.friedman@cammlab.org","contact_orcid":"0000-0001-8003-6860"}],"homepage":"http://multicellds.org","identifier":1542,"description":"MultiCellDS (Multicellular data specification), an outgrowth of the earlier MultiCellXML project, aims to create a data standard for sharing multicellular experimental, simulation, and clinical data. Our ultimate goal is to foster a community that develops user-friendly tools that can read, write, and recombine data into better simulations and analyses for multicellular biology and predictive medicine. As part of this effort, we are developing MultiCellDB: a repository for a curated library of digital cell lines and peer-reviewed simulation and experimental data. A novel part of MultiCellDS is the digital cell line: a digital analogue of experimental cell lines that will help to collect biophysical cell line measurements coming from many research groups and make them readily accessible to an ecosystem of compatible computational models. You can learn more about digital cell lines and other core ideas on this page. We are currently preparing a draft of the upcoming MultiCellDS 1.0 specification. After a multiple rounds of comment and review by a multidisciplinary review panel and the general public, we target an October 2016 release of the data specification and software support tools.","abbreviation":"MultiCellDS","support_links":[{"url":"http://multicellds.org/Core_ideas.php","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000677","bsg-s000677"],"name":"FAIRsharing record for: MultiCellular Data Standard","abbreviation":"MultiCellDS","url":"https://fairsharing.org/10.25504/FAIRsharing.pqzyd5","doi":"10.25504/FAIRsharing.pqzyd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MultiCellDS (Multicellular data specification), an outgrowth of the earlier MultiCellXML project, aims to create a data standard for sharing multicellular experimental, simulation, and clinical data. Our ultimate goal is to foster a community that develops user-friendly tools that can read, write, and recombine data into better simulations and analyses for multicellular biology and predictive medicine. As part of this effort, we are developing MultiCellDB: a repository for a curated library of digital cell lines and peer-reviewed simulation and experimental data. A novel part of MultiCellDS is the digital cell line: a digital analogue of experimental cell lines that will help to collect biophysical cell line measurements coming from many research groups and make them readily accessible to an ecosystem of compatible computational models. You can learn more about digital cell lines and other core ideas on this page. We are currently preparing a draft of the upcoming MultiCellDS 1.0 specification. After a multiple rounds of comment and review by a multidisciplinary review panel and the general public, we target an October 2016 release of the data specification and software support tools.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16945}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Multicellular"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7662,"fairsharing_record_id":1542,"organisation_id":308,"relation":"funds","created_at":"2021-09-30T09:28:45.558Z","updated_at":"2021-09-30T09:28:45.558Z","grant_id":null,"is_lead":false,"saved_state":{"id":308,"name":"Breast Cancer Research Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1543","type":"fairsharing_records","attributes":{"created_at":"2021-04-12T18:16:08.000Z","updated_at":"2022-03-29T08:51:06.652Z","metadata":{"doi":"10.25504/FAIRsharing.7c8459","name":"Visual Syntax Method","status":"ready","contacts":[{"contact_name":"Steven Vercruysse","contact_email":"steven.vercru@gmail.com","contact_orcid":"0000-0002-3136-7353"}],"homepage":"https://vsm.github.io","citations":[{"publication_id":2492}],"identifier":1543,"description":"VSM (Visual Syntax Method) is a set of principles for representing knowledge in a form that is easily understandable by both humans and machines – esp. by people without specialization in IT or Math.\n| \n- The principles are universal, i.e. they support knowledge/thoughts/ideas on any topic, no matter the complexity.\n- The principles are elementary and intuitive; they work 'like humans think'. This makes VSM scalable, and flexible on par with natural language.\n- The principles describe how to Structure, Layout, and Interpret the meaning of a unit of knowledge 'in VSM form'; i.e. as a meaningful, precise, semi-linear structure that connects readable terms backed by semantic IDs.\n\nVSM has a supporting user-interface called 'vsm-box', for reading and entering knowledge in VSM form.\n \n| For an overview, see https://vsm.github.io\n| For a video, see https://youtu.be/0kHWBZIL04E\n| For conceptual details, see https://www.preprints.org/manuscript/202007.0486/v2\n| For technical details, see https://github.com/vsm/vsm-box/blob/master/Documentation.md","abbreviation":"VSM","support_links":[{"url":"https://github.com/vsm/vsm-box/blob/master/Documentation.md","name":"Online documentation","type":"Github"},{"url":"https://vsm.github.io/","name":"About","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=0kHWBZIL04E","name":"From a natural language sentence to a VSM semantic structure","type":"Video"}],"year_creation":2020,"associated_tools":[{"url":"https://vsm.github.io/demo","name":"VSM demo \u0026 toolkit"},{"url":"https://mi2cast.github.io/causalBuilder","name":"causalBuilder"}]},"legacy_ids":["bsg-001607","bsg-s001607"],"name":"FAIRsharing record for: Visual Syntax Method","abbreviation":"VSM","url":"https://fairsharing.org/10.25504/FAIRsharing.7c8459","doi":"10.25504/FAIRsharing.7c8459","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VSM (Visual Syntax Method) is a set of principles for representing knowledge in a form that is easily understandable by both humans and machines – esp. by people without specialization in IT or Math.\n| \n- The principles are universal, i.e. they support knowledge/thoughts/ideas on any topic, no matter the complexity.\n- The principles are elementary and intuitive; they work 'like humans think'. This makes VSM scalable, and flexible on par with natural language.\n- The principles describe how to Structure, Layout, and Interpret the meaning of a unit of knowledge 'in VSM form'; i.e. as a meaningful, precise, semi-linear structure that connects readable terms backed by semantic IDs.\n\nVSM has a supporting user-interface called 'vsm-box', for reading and entering knowledge in VSM form.\n \n| For an overview, see https://vsm.github.io\n| For a video, see https://youtu.be/0kHWBZIL04E\n| For conceptual details, see https://www.preprints.org/manuscript/202007.0486/v2\n| For technical details, see https://github.com/vsm/vsm-box/blob/master/Documentation.md","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Data model","Curated information","Digital curation","Literature curation","Knowledge representation","Biocuration"],"taxonomies":["Not applicable"],"user_defined_tags":["vsm"],"countries":["Norway"],"publications":[{"id":2492,"pubmed_id":null,"title":"Intuitive Representation of Computable Knowledge","year":2020,"url":"https://www.preprints.org/manuscript/202007.0486/v2","authors":"Steven Vercruysse, Martin Kuiper","journal":"Preprints","doi":"10.20944/preprints202007.0486.v2","created_at":"2021-09-30T08:27:05.586Z","updated_at":"2022-03-29T08:26:32.174Z"},{"id":2495,"pubmed_id":null,"title":"VSM-box: General-purpose Interface for Biocuration and Knowledge Representation","year":2020,"url":"https://www.preprints.org/manuscript/202007.0557/v1","authors":"Steven Vercruysse, John Zobolas, Vasundra Touré, Maria K. Andersen, Martin Kuiper","journal":"Preprints","doi":"10.20944/preprints202007.0557.v1","created_at":"2021-09-30T08:27:05.963Z","updated_at":"2022-03-29T08:26:52.722Z"}],"licence_links":[{"licence_name":"Affero GNU GPL v3.0","licence_id":15,"licence_url":"https://www.gnu.org/licenses/agpl-3.0.en.html","link_id":768,"relation":"undefined"}],"grants":[{"id":7663,"fairsharing_record_id":1543,"organisation_id":2200,"relation":"undefined","created_at":"2021-09-30T09:28:45.600Z","updated_at":"2021-09-30T09:28:45.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":2200,"name":"NTNU - Norwegian University of Science and Technology","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWDA9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ced72c05019041be2ac8d9f629faef8a00d13cf5/vsm-logo-640x640a.png?disposition=inline","exhaustive_licences":false}},{"id":"1544","type":"fairsharing_records","attributes":{"created_at":"2018-09-05T13:26:36.000Z","updated_at":"2023-03-14T18:13:37.589Z","metadata":{"doi":"10.25504/FAIRsharing.m2NU20","name":"Citation File Format","status":"ready","contacts":[{"contact_name":"CFF team","contact_email":"CFFteam@research-software.org"}],"homepage":"https://citation-file-format.github.io/","citations":[],"identifier":1544,"description":"The Citation File Format (CFF) is a human-centric, machine-readable format for software citation metadata. It is developed to provide an easy way for RSEs, and other developers of software in academia, to ensure that they can receive credit for their work; likewise, it provides researchers with access to the necessary metadata for references to the software they use in their research. The Citation File Format follows the Software Citation Principles, and is compatible with the CodeMeta JSON-LD exchange format for software metadata.","abbreviation":"CFF","support_links":[{"url":"https://github.com/citation-file-format/citation-file-format/blob/master/CONTRIBUTING.md","name":"Guidelines for Contributing","type":"Github"},{"url":"https://github.com/citation-file-format","name":"GitHub Repository","type":"Github"},{"url":"https://citation-file-format.github.io/1.0.3/","name":"Specification file","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/citation-file-format/cff-converter-python","name":"cffconvert 1.0.1"},{"url":"https://github.com/citation-file-format/ruby-cff","name":"Ruby CFF Library 0.5.0"},{"url":"https://github.com/citation-file-format/cff-initializer-javascript","name":"cffinit 1.0.0"},{"url":"https://github.com/citation-file-format/doi2cff","name":"DOI 2 citation format file generator 1.0.0"},{"url":"https://github.com/citation-file-format/github2cff","name":"github2cff 0.1"},{"url":"https://github.com/citation-file-format/cff-reader-java","name":"cff-reader-java 1.0.1"}]},"legacy_ids":["bsg-001271","bsg-s001271"],"name":"FAIRsharing record for: Citation File Format","abbreviation":"CFF","url":"https://fairsharing.org/10.25504/FAIRsharing.m2NU20","doi":"10.25504/FAIRsharing.m2NU20","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citation File Format (CFF) is a human-centric, machine-readable format for software citation metadata. It is developed to provide an easy way for RSEs, and other developers of software in academia, to ensure that they can receive credit for their work; likewise, it provides researchers with access to the necessary metadata for references to the software they use in their research. The Citation File Format follows the Software Citation Principles, and is compatible with the CodeMeta JSON-LD exchange format for software metadata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Citation","Publication","Software"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Publishing"],"countries":["France","Germany","Lithuania","Netherlands","Norway","United Kingdom"],"publications":[{"id":2446,"pubmed_id":null,"title":"Citation File Format (CFF) - Specifications","year":2018,"url":"https://doi.org/10.5281/zenodo.1003149","authors":"Druskat, Stephan; Chue Hong, Neil; Haines, Robert; Baker, James; Gruenpeter, Morane; Silva, Raniere; Bast, Radovan; Crusoe, Michael R.","journal":"Zenodo","doi":null,"created_at":"2021-09-30T08:27:00.019Z","updated_at":"2021-09-30T08:27:00.019Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":143,"relation":"undefined"}],"grants":[{"id":7664,"fairsharing_record_id":1544,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:45.632Z","updated_at":"2021-09-30T09:30:10.430Z","grant_id":584,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/N006410/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1518","type":"fairsharing_records","attributes":{"created_at":"2021-04-22T21:19:48.000Z","updated_at":"2022-08-02T08:19:04.557Z","metadata":{"doi":"10.25504/FAIRsharing.5164e7","name":"Marine Regions","status":"ready","contacts":[{"contact_name":"Lennert Schepers","contact_email":"info@marineregions.org","contact_orcid":"0000-0002-6145-8248"}],"homepage":"https://marineregions.org","citations":[],"identifier":1518,"description":"The purpose of Marine Regions is to create a standard, relational list of geographic names, coupled with information and maps of the geographic location of these features. The objectives are to capture all geographic marine names worldwide, including ocean basins, seas, seamounts, sandbanks, ridges, bays and other marine geographical place names and attributes, and to display univocally the boundaries of marine biogeographic or other managed marine areas in order to facilitate marine data management, marine (bio)geographic research and the management of marine areas.","abbreviation":"Marine Regions","support_links":[{"url":"info@marineregions.org","name":"Marine Regions email","type":"Support email"},{"url":"http://www.vliz.be/en/imis?module=dataset\u0026dasid=6293","name":"MarineRegions database metadata description","type":"Help documentation"},{"url":"https://marineregions.org/gazetteer.php?p=rss","name":"Marine Regions GeoRSS","type":"Blog/News"},{"url":"https://twitter.com/marineregions","name":"Marine Regions twitter","type":"Twitter"}],"year_creation":2005,"associated_tools":[{"url":"https://github.com/ropensci/mregions/","name":"mregions R Package"}]},"legacy_ids":["bsg-001609","bsg-s001609"],"name":"FAIRsharing record for: Marine Regions","abbreviation":"Marine Regions","url":"https://fairsharing.org/10.25504/FAIRsharing.5164e7","doi":"10.25504/FAIRsharing.5164e7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of Marine Regions is to create a standard, relational list of geographic names, coupled with information and maps of the geographic location of these features. The objectives are to capture all geographic marine names worldwide, including ocean basins, seas, seamounts, sandbanks, ridges, bays and other marine geographical place names and attributes, and to display univocally the boundaries of marine biogeographic or other managed marine areas in order to facilitate marine data management, marine (bio)geographic research and the management of marine areas.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13292}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Geography","Geophysics","Data Management","Marine Biology","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","maritime policy"],"countries":["Belgium"],"publications":[{"id":711,"pubmed_id":null,"title":"Marine Regions: Towards a Global Standard for Georeferenced Marine Names and Boundaries","year":2014,"url":"https://doi.org/10.1080/01490419.2014.902881","authors":"Simon Claus, Nathalie De Hauwere, Bart Vanhoorne, Pieter Deckers, Francisco Souza Dias, Francisco Hernandez \u0026 Jan Mees","journal":"Marine Geodesy","doi":null,"created_at":"2021-09-30T08:23:38.387Z","updated_at":"2021-09-30T08:23:38.387Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":282,"relation":"undefined"}],"grants":[{"id":7620,"fairsharing_record_id":1518,"organisation_id":2777,"relation":"maintains","created_at":"2021-09-30T09:28:43.951Z","updated_at":"2021-09-30T09:28:43.951Z","grant_id":null,"is_lead":true,"saved_state":{"id":2777,"name":"The Flanders Marine Institute (VLIZ), Belgium","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8677,"fairsharing_record_id":1518,"organisation_id":3338,"relation":"associated_with","created_at":"2022-01-06T13:07:43.652Z","updated_at":"2022-01-06T13:07:43.652Z","grant_id":null,"is_lead":false,"saved_state":{"id":3338,"name":"European Marine Biological Research Centre","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":8396,"fairsharing_record_id":1518,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:32:26.782Z","updated_at":"2021-09-30T09:32:26.829Z","grant_id":1623,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"I000819N-LIFEWATCH","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7619,"fairsharing_record_id":1518,"organisation_id":1716,"relation":"undefined","created_at":"2021-09-30T09:28:43.909Z","updated_at":"2021-09-30T09:28:43.909Z","grant_id":null,"is_lead":false,"saved_state":{"id":1716,"name":"LifeWatch Belgium","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7617,"fairsharing_record_id":1518,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:28:43.839Z","updated_at":"2021-09-30T09:30:21.914Z","grant_id":677,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"GOH3417N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8033,"fairsharing_record_id":1518,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:30:31.671Z","updated_at":"2021-09-30T09:30:31.721Z","grant_id":748,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"I002021N-LIFEWATCH","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1519","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2021-11-24T13:14:32.150Z","metadata":{"doi":"10.25504/FAIRsharing.31venv","name":"DebugIT Core Ontology","status":"deprecated","contacts":[{"contact_name":"Daniel Schober","contact_email":"dschober@ipb-halle.de"}],"homepage":"http://dx.doi.org/10.3233/978-1-60750-588-4-1060","identifier":1519,"description":"The Debugit Core Ontology (dco) covers the complete conceptual space of the domain of interest in the DebugIT project. It focuses on the management of antibiotics resistance within hospitals and infectious diseases to cover the clinical monitoring use cases. The ontology shall provide a semantic reference as logically defined classes in a formal and computer understandable format. It is supposed to formally represent all basic kinds of entities in the domain of interest, together with their invariant and context-independent properties. The ontology is therefore distinct from the representation of clinical knowledge as targeted by the DebugIT WP 4. Instead, it has a supportive semantic glue Function as it provides standardized and formally described meaning identifiers across the whole project, hence serving the Interoperability platform as well.","abbreviation":"DCO-DEBUGIT","support_links":[{"url":"https://healthmanagement.org/c/healthmanagement/issuearticle/the-debugit-project","name":"DebugIT Article","type":"Help documentation"}],"year_creation":2013,"deprecation_date":"2021-03-24","deprecation_reason":"This resource no longer has a homepage, project page, or download link. No up-to-date information can be found for it."},"legacy_ids":["bsg-000852","bsg-s000852"],"name":"FAIRsharing record for: DebugIT Core Ontology","abbreviation":"DCO-DEBUGIT","url":"https://fairsharing.org/10.25504/FAIRsharing.31venv","doi":"10.25504/FAIRsharing.31venv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Debugit Core Ontology (dco) covers the complete conceptual space of the domain of interest in the DebugIT project. It focuses on the management of antibiotics resistance within hospitals and infectious diseases to cover the clinical monitoring use cases. The ontology shall provide a semantic reference as logically defined classes in a formal and computer understandable format. It is supposed to formally represent all basic kinds of entities in the domain of interest, together with their invariant and context-independent properties. The ontology is therefore distinct from the representation of clinical knowledge as targeted by the DebugIT WP 4. Instead, it has a supportive semantic glue Function as it provides standardized and formally described meaning identifiers across the whole project, hence serving the Interoperability platform as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine","Biomedical Science"],"domains":["Antimicrobial"],"taxonomies":["All"],"user_defined_tags":["Antimicrobial resistance"],"countries":["Belgium","France","Germany","Switzerland"],"publications":[{"id":2305,"pubmed_id":null,"title":"The DebugIT Core Ontology: semantic integration of antibiotics resistance patterns","year":2010,"url":"http://dx.doi.org/10.3233/978-1-60750-588-4-1060","authors":"Daniel Schober, Martin Boeker, Jessica Bullenkamp, Csaba Huszka, Kristof Depraetere, Douglas Teodoro, Nadia Nadah, Remy Choquet, Christel Daniel, Stefan Schulz","journal":"Studies in Health Technology and Informatics, Volume 160: MEDINFO 2010","doi":null,"created_at":"2021-09-30T08:26:42.702Z","updated_at":"2021-09-30T08:26:42.702Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1520","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-07-20T12:52:22.070Z","metadata":{"doi":"10.25504/FAIRsharing.6gs502","name":"Stuff Ontology","status":"ready","contacts":[{"contact_name":"Maria Keet","contact_email":"mkeet@cs.uct.ac.za"}],"homepage":"http://www.meteck.org/stuff.html","citations":[{"publication_id":2550}],"identifier":1520,"description":"Multiple domain ontologies have various representations of types of stuff--also called matter, mass, or substance--such as milk, alcohol, and mud. This is modelled in a range of different ways that are not quite compatible with each other as they do not adhere to a single structured approach, at times not even within an ontology itself. The Stuff Ontology is a 'bridging' core ontology describing categories of stuff and formalised in OWL for purposes of implementability. It stands on its own, but there are also versions that link to the DOLCE and BFO foundational ontologies, and one with examples to illustrate classification of stuffs (among others, mayonnaise and gold). This then also resolves the main type of interoperability issues with stuffs in domain ontologies, thereby also contributing to better ontology quality.","abbreviation":"STUFF","year_creation":2015},"legacy_ids":["bsg-000946","bsg-s000946"],"name":"FAIRsharing record for: Stuff Ontology","abbreviation":"STUFF","url":"https://fairsharing.org/10.25504/FAIRsharing.6gs502","doi":"10.25504/FAIRsharing.6gs502","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Multiple domain ontologies have various representations of types of stuff--also called matter, mass, or substance--such as milk, alcohol, and mud. This is modelled in a range of different ways that are not quite compatible with each other as they do not adhere to a single structured approach, at times not even within an ontology itself. The Stuff Ontology is a 'bridging' core ontology describing categories of stuff and formalised in OWL for purposes of implementability. It stands on its own, but there are also versions that link to the DOLCE and BFO foundational ontologies, and one with examples to illustrate classification of stuffs (among others, mayonnaise and gold). This then also resolves the main type of interoperability issues with stuffs in domain ontologies, thereby also contributing to better ontology quality.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science"],"domains":["Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":2550,"pubmed_id":null,"title":"A core ontology of macroscopic stuff","year":2014,"url":"http://www.meteck.org/files/StuffKindsEKAW14.pdf","authors":"Keet, C.M.","journal":"19th International Conference on Knowledge Engineering and Knowledge Management (EKAW'14). K. Janowicz et al. (Eds.). 24-28 Nov, 2014, Linkoping, Sweden. Springer LNAI vol. 8876, 209-224.","doi":null,"created_at":"2021-09-30T08:27:12.743Z","updated_at":"2021-09-30T08:27:12.743Z"},{"id":2561,"pubmed_id":null,"title":"Relating some stuff to other stuff","year":2016,"url":"http://www.meteck.org/files/StuffRelationsEKAW16.pdf","authors":"Keet, C.M.","journal":"20th International Conference on Knowledge Engineering and Knowledge Management (EKAW'16). Springer LNAI, 19-23 November, Bologna, Italy.","doi":null,"created_at":"2021-09-30T08:27:14.112Z","updated_at":"2021-09-30T08:27:14.112Z"}],"licence_links":[],"grants":[{"id":7621,"fairsharing_record_id":1520,"organisation_id":3039,"relation":"maintains","created_at":"2021-09-30T09:28:43.993Z","updated_at":"2021-09-30T09:28:43.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":3039,"name":"University of Cape Town, Rondebosch, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1521","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:30:19.000Z","updated_at":"2022-07-20T11:45:05.901Z","metadata":{"doi":"10.25504/FAIRsharing.LQfdaV","name":"Art \u0026 Architecture Thesaurus","status":"ready","contacts":[{"contact_name":"AAT editors","contact_email":"AAT@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/aat/index.html","citations":[],"identifier":1521,"description":"The Getty Art \u0026 Architecture Thesaurus (AAT) is a thesaurus containing generic terms, dates, relationships, sources, and notes for work types, roles, materials, styles, cultures, techniques, and other concepts related to art, architecture, and other cultural heritage. The AAT is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture. The AAT contains generic terms; it contains no iconographic subjects and no proper names. That is, each concept is a case of many (a generic thing), not a case of one (a specific thing).","abbreviation":"AAT","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabulary Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/aat/aat_faq.html","name":"AAT FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/aat/help.html","name":"How to Use","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/lod/index.html","name":"Getty Vocabularies as Linked Open Data","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/aat/about.html","name":"About","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001491","bsg-s001491"],"name":"FAIRsharing record for: Art \u0026 Architecture Thesaurus","abbreviation":"AAT","url":"https://fairsharing.org/10.25504/FAIRsharing.LQfdaV","doi":"10.25504/FAIRsharing.LQfdaV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Getty Art \u0026 Architecture Thesaurus (AAT) is a thesaurus containing generic terms, dates, relationships, sources, and notes for work types, roles, materials, styles, cultures, techniques, and other concepts related to art, architecture, and other cultural heritage. The AAT is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture. The AAT contains generic terms; it contains no iconographic subjects and no proper names. That is, each concept is a case of many (a generic thing), not a case of one (a specific thing).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Art History","Architecture","Art","Fine Arts","History","Cultural Studies","Building Design"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Built Environment"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":471,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":473,"relation":"undefined"}],"grants":[{"id":7622,"fairsharing_record_id":1521,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:44.031Z","updated_at":"2021-09-30T09:28:44.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1547","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-14T10:07:13.238Z","metadata":{"doi":"10.25504/FAIRsharing.9kahy4","name":"GenBank Nucleotide Sequence Database","status":"ready","contacts":[{"contact_name":"NCBI Helpdesk","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genbank/","citations":[{"doi":"10.1093/nar/gks1195","pubmed_id":23193287,"publication_id":3558}],"identifier":1547,"description":"GenBank ® is the NIH genetic sequence database of annotated collections of all publicly available DNA sequences. GenBank is part of an International Nucleotide Sequence Database Collaboration, which comprises the DNA DataBank of Japan (DDBJ), the European Nucleotide Archive (ENA), and GenBank at NCBI. The GenBank database is designed to provide and encourage access within the scientific community to the most up-to-date and comprehensive DNA sequence information, and release available versioned collections every two months from the ftp site. As part of the International Nucleotide Sequence Database Collaboration (INSDC), a long-standing foundational initiative (operating between DDBJ, EMBL-EBI and NCBI), the INSDC covers the spectrum of data raw reads, through alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. GenBank data submission types include: mRNA sequences, Prokaryotic genes, Eukaryotic genes, rRNA and/or ITS, viral sequences, transposon or insertion sequences, microsatellite sequences, pseudogenes, cloning vectors, phylogenetic or population sets, and non-coding RNAs.\n","abbreviation":"GenBank","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/genbank/genomesubmit/#metadata","type":"manual/automated","notes":"Metadata Required for all Genome Submissions"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/books/NBK25501/","name":"Entrez Programming Utilities Help","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/submit_types/","name":"GenBank Submission Types","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/submit/","name":"How to Submit","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/update/","name":"Updating GenBank records","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK566998/","name":"GenBank Submissions Handbook","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/blast/producttable.shtml","name":"Using BLAST at GenBank","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GenBank","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"update@ncbi.nlm.nih.gov","name":"Submission Update Support","type":"Support email"},{"url":"submit-help@ncbi.nlm.nih.gov","name":"General/Help","type":"Support email"},{"url":"genomes@ncbi.nlm.nih.gov","name":"Genome Update Support","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK53707/","name":"GenBank Submissions Handbook","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/wgsfaq/","name":"Whole Genome Sequence (WGS) FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://submit.ncbi.nlm.nih.gov/structcomment/genomes/","name":"GenBank Structured Comment Template","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/asndisc/","name":"Submission Discrepancy Report","type":"Help documentation"},{"url":"gb-admin@ncbi.nlm.nih.gov","name":"Sequence Update/Revision Support","type":"Support email"},{"url":"https://submit.ncbi.nlm.nih.gov/templates/","name":"Genome Information Template Files","type":"Other"},{"url":"https://www.youtube.com/watch?v=BCG-M5k-gvE","name":"E-Utilities Introduction","type":"Video"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/statistics","name":"GenBank and WGS Statistics","type":"Other"},{"url":"https://ncbiinsights.ncbi.nlm.nih.gov/2021/09/30/genome-quality-service/","name":"New Genome Quality Service","type":"Other"},{"url":"https://www.ncbi.nlm.nih.gov/datasets/docs/v1/how-tos/","name":"\"How To\" Guides","type":"Help documentation"},{"url":"https://ncbiinsights.ncbi.nlm.nih.gov/","name":"NCBI Insights \u0026 Announcements","type":"Blog/News"},{"url":"https://www.ncbi.nlm.nih.gov/Taxonomy/Utils/wprintgc.cgi","name":"List of Genetic Codes","type":"Help documentation"}],"year_creation":1982,"data_versioning":"yes","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/genbank/table2asn/","name":"tbl2asn2 (Command-line Program Submission Tool)"},{"url":"https://www.ncbi.nlm.nih.gov/tools/gbench/?utm_source=blog\u0026utm_medium=referrer\u0026utm_campaign=gbench\u0026utm_term=submissionwizard\u0026utm_content=20201109link3","name":"Genome Workbench (Edit \u0026 Visualization Tool)"},{"url":"https://www.ncbi.nlm.nih.gov/blast","name":"BLAST (Basic Local Alignment Search Tool)"},{"url":"https://github.com/nawrockie/vadr","name":"VADR (Viral Annotation DefineR), GenBank Viral Sequence Submission Annotation Tool"},{"url":"https://www.ncbi.nlm.nih.gov/genome/annotation_prok/","name":"PGAP (NCBI Prokaryotic Genome Annotation Pipeline Tool)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010528","name":"re3data:r3d100010528","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002760","name":"SciCrunch:RRID:SCR_002760","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/home/about/policies/#data","type":"open","notes":"Molecular Data Accessibility \u0026 Usage"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/books/NBK566998/#qkstrt_Kind_of_Data.what_kind_of_data_wi","type":"open","notes":"GenBank Submission Types"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000001","bsg-d000001"],"name":"FAIRsharing record for: GenBank Nucleotide Sequence Database","abbreviation":"GenBank","url":"https://fairsharing.org/10.25504/FAIRsharing.9kahy4","doi":"10.25504/FAIRsharing.9kahy4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenBank ® is the NIH genetic sequence database of annotated collections of all publicly available DNA sequences. GenBank is part of an International Nucleotide Sequence Database Collaboration, which comprises the DNA DataBank of Japan (DDBJ), the European Nucleotide Archive (ENA), and GenBank at NCBI. The GenBank database is designed to provide and encourage access within the scientific community to the most up-to-date and comprehensive DNA sequence information, and release available versioned collections every two months from the ftp site. As part of the International Nucleotide Sequence Database Collaboration (INSDC), a long-standing foundational initiative (operating between DDBJ, EMBL-EBI and NCBI), the INSDC covers the spectrum of data raw reads, through alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. GenBank data submission types include: mRNA sequences, Prokaryotic genes, Eukaryotic genes, rRNA and/or ITS, viral sequences, transposon or insertion sequences, microsatellite sequences, pseudogenes, cloning vectors, phylogenetic or population sets, and non-coding RNAs.\n","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17565},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10759},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10925},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11049},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12295},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12570},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12953}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Metagenomics","Genomics","Bioinformatics","Data Management","Virology","Transcriptomics","Epidemiology"],"domains":["Nucleic acid sequence","DNA sequence data","Annotation","Genomic assembly","Deoxyribonucleic acid","Nucleotide","Whole genome sequencing","Sequencing","Disease","Messenger RNA","Gene","Genome","Sequence alteration","Data storage"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Japan","United States","European Union"],"publications":[{"id":18,"pubmed_id":22144687,"title":"GenBank.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1202","authors":"Benson DA., Karsch-Mizrachi I., Clark K., Lipman DJ., Ostell J., Sayers EW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1202","created_at":"2021-09-30T08:22:22.372Z","updated_at":"2021-09-30T08:22:22.372Z"},{"id":19,"pubmed_id":21071399,"title":"GenBank.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1079","authors":"Benson DA., Karsch-Mizrachi I., Lipman DJ., Ostell J., Sayers EW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1079","created_at":"2021-09-30T08:22:22.463Z","updated_at":"2021-09-30T08:22:22.463Z"},{"id":34,"pubmed_id":18073190,"title":"GenBank.","year":2007,"url":"http://doi.org/10.1093/nar/gkm929","authors":"Benson DA., Karsch-Mizrachi I., Lipman DJ., Ostell J., Wheeler DL.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm929","created_at":"2021-09-30T08:22:23.972Z","updated_at":"2021-09-30T08:22:23.972Z"},{"id":150,"pubmed_id":18940867,"title":"GenBank.","year":2008,"url":"http://doi.org/10.1093/nar/gkn723","authors":"Benson DA., Karsch-Mizrachi I., Lipman DJ., Ostell J., Sayers EW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn723","created_at":"2021-09-30T08:22:36.289Z","updated_at":"2021-09-30T08:22:36.289Z"},{"id":531,"pubmed_id":23193287,"title":"GenBank.","year":2012,"url":"http://doi.org/10.1093/nar/gks1195","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1195","created_at":"2021-09-30T08:23:17.973Z","updated_at":"2021-09-30T11:28:47.158Z"},{"id":714,"pubmed_id":24217914,"title":"GenBank.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1030","authors":"Benson DA,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1030","created_at":"2021-09-30T08:23:38.702Z","updated_at":"2021-09-30T11:28:49.234Z"},{"id":815,"pubmed_id":29140468,"title":"GenBank","year":2017,"url":"http://doi.org/10.1093/nar/gkx1094","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Ostell J,Pruitt K,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1094","created_at":"2021-09-30T08:23:49.901Z","updated_at":"2021-09-30T11:28:51.967Z"},{"id":816,"pubmed_id":31665464,"title":"GenBank.","year":2019,"url":"http://doi.org/10.1093/nar/gkz956","authors":"Sayers EW,Cavanaugh M,Clark K,Ostell J,Pruitt KD,Karsch-Mizrachi I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz956","created_at":"2021-09-30T08:23:50.009Z","updated_at":"2021-09-30T11:28:52.067Z"},{"id":959,"pubmed_id":30365038,"title":"GenBank.","year":2018,"url":"http://doi.org/10.1093/nar/gky989","authors":"Sayers EW,Cavanaugh M,Clark K,Ostell J,Pruitt KD,Karsch-Mizrachi I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky989","created_at":"2021-09-30T08:24:06.128Z","updated_at":"2021-09-30T11:28:55.967Z"},{"id":960,"pubmed_id":27899564,"title":"GenBank.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1070","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1070","created_at":"2021-09-30T08:24:06.269Z","updated_at":"2021-09-30T11:28:56.069Z"},{"id":961,"pubmed_id":26590407,"title":"GenBank.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1276","authors":"Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1276","created_at":"2021-09-30T08:24:06.369Z","updated_at":"2021-09-30T11:28:56.151Z"},{"id":962,"pubmed_id":25414350,"title":"GenBank.","year":2014,"url":"http://doi.org/10.1093/nar/gku1216","authors":"Benson DA,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1216","created_at":"2021-09-30T08:24:06.471Z","updated_at":"2021-09-30T11:28:56.251Z"},{"id":3557,"pubmed_id":null,"title":"VADR: validation and annotation of virus sequence submissions to GenBank","year":2020,"url":"http://dx.doi.org/10.1186/s12859-020-3537-3","authors":"Schäffer, Alejandro A.; Hatcher, Eneida L.; Yankie, Linda; Shonkwiler, Lara; Brister, J. Rodney; Karsch-Mizrachi, Ilene; Nawrocki, Eric P.; ","journal":"BMC Bioinformatics","doi":"10.1186/s12859-020-3537-3","created_at":"2022-08-18T00:01:54.660Z","updated_at":"2022-08-18T00:01:54.660Z"},{"id":3558,"pubmed_id":23193287,"title":"GenBank","year":2012,"url":"http://dx.doi.org/10.1093/nar/gks1195","authors":"Benson, Dennis A.; Cavanaugh, Mark; Clark, Karen; Karsch-Mizrachi, Ilene; Lipman, David J.; Ostell, James; Sayers, Eric W.; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1195","created_at":"2022-08-18T00:21:41.231Z","updated_at":"2022-08-18T00:21:41.231Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":747,"relation":"undefined"},{"licence_name":"Nucleotide Sequence Database Policies","licence_id":969,"licence_url":"https://www.insdc.org/policy/","link_id":2810,"relation":"undefined"}],"grants":[{"id":1,"fairsharing_record_id":1547,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:24:14.934Z","updated_at":"2021-09-30T09:24:14.934Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2,"fairsharing_record_id":1547,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:14.979Z","updated_at":"2021-09-30T09:24:14.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1548","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:43.363Z","metadata":{"doi":"10.25504/FAIRsharing.wvp1t7","name":"GlycoNAVI","status":"ready","contacts":[{"contact_name":"Issaku Yamada","contact_email":"issaku@noguchi.or.jp","contact_orcid":"0000-0001-9504-189X"}],"homepage":"https://glyconavi.org/","citations":[],"identifier":1548,"description":"GlycoNAVI is a repository of data relevant to carbohydrate research. It contains a free suite of carbohydrate research tools organized by domain, including glycans, proteins, lipids, genes, diseases and samples.","abbreviation":"GlycoNAVI","data_curation":{"type":"manual"},"support_links":[{"url":"glyconavi@noguchi.or.jp","name":"General Contact","type":"Support email"},{"url":"https://glyconavi.github.io/doc/","name":"Documentation","type":"Github"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://glyconavi.org/TCarp/","name":"TCarp 0.9.0"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000002","bsg-d000002"],"name":"FAIRsharing record for: GlycoNAVI","abbreviation":"GlycoNAVI","url":"https://fairsharing.org/10.25504/FAIRsharing.wvp1t7","doi":"10.25504/FAIRsharing.wvp1t7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoNAVI is a repository of data relevant to carbohydrate research. It contains a free suite of carbohydrate research tools organized by domain, including glycans, proteins, lipids, genes, diseases and samples.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11756}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Organic Chemistry","Chemistry","Life Science","Glycomics"],"domains":["Protecting group"],"taxonomies":["All"],"user_defined_tags":["Non-carbohydrate moieties"],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2025,"relation":"undefined"}],"grants":[{"id":4,"fairsharing_record_id":1548,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:24:15.054Z","updated_at":"2021-09-30T09:24:15.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3,"fairsharing_record_id":1548,"organisation_id":2813,"relation":"maintains","created_at":"2021-09-30T09:24:15.017Z","updated_at":"2021-09-30T09:24:15.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":2813,"name":"The Noguchi Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBam9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f07bbe3383ced35654e4cce0cbb98a3abba364b8/GlycoNAVI.png?disposition=inline","exhaustive_licences":false}},{"id":"1532","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2021-11-24T13:17:27.605Z","metadata":{"doi":"10.25504/FAIRsharing.zve9cc","name":"Proteasix Ontology","status":"uncertain","contacts":[{"contact_name":"Mercedes Arguello Casteleiro","contact_email":"m.arguello@manchester.ac.uk"}],"homepage":"https://dx.doi.org/10.1186%2Fs13326-016-0078-9","citations":[{"doi":"10.1186/s13326-016-0078-9","pubmed_id":27259807,"publication_id":2274}],"identifier":1532,"description":"The Proteasix Ontology (PxO) is an ontology that supports the Proteasix tool; an open-source peptide-centric tool that can be used to predict automatically and in a large-scale fashion in silico the proteases involved in the generation of proteolytic cleavage fragments (peptides). PxO aims to describe the known proteases and their target cleavage sites, to enable the description of proteolytic cleavage fragments as the outputs of observed and predicted proteolysis, and to use knowledge about the function, species and cellular location of a protease and protein substrate to support the prioritisation of proteases in observed and predicted proteolysis. Although the Proteasix project website remains active, download / browse links to the ontology are no longer available and the owners of the resource have not confirmed its current status. Therefore we have marked this resource with an Uncertain status. Please get in touch if you can provide FAIRsharing with up-to-date information regarding this resource.","abbreviation":"PxO","support_links":[{"url":"proteasix@gmail.com","name":"General Contact","type":"Support email"}],"year_creation":2015,"associated_tools":[{"url":"http://www.proteasix.org/","name":"Proteasix"}]},"legacy_ids":["bsg-001048","bsg-s001048"],"name":"FAIRsharing record for: Proteasix Ontology","abbreviation":"PxO","url":"https://fairsharing.org/10.25504/FAIRsharing.zve9cc","doi":"10.25504/FAIRsharing.zve9cc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Proteasix Ontology (PxO) is an ontology that supports the Proteasix tool; an open-source peptide-centric tool that can be used to predict automatically and in a large-scale fashion in silico the proteases involved in the generation of proteolytic cleavage fragments (peptides). PxO aims to describe the known proteases and their target cleavage sites, to enable the description of proteolytic cleavage fragments as the outputs of observed and predicted proteolysis, and to use knowledge about the function, species and cellular location of a protease and protein substrate to support the prioritisation of proteases in observed and predicted proteolysis. Although the Proteasix project website remains active, download / browse links to the ontology are no longer available and the owners of the resource have not confirmed its current status. Therefore we have marked this resource with an Uncertain status. Please get in touch if you can provide FAIRsharing with up-to-date information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Proteolytic digest","Protein cleavage site prediction","Protease cleavage","Protease site"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United Kingdom"],"publications":[{"id":2274,"pubmed_id":27259807,"title":"The Proteasix Ontology.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0078-9","authors":"Arguello Casteleiro M,Klein J,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0078-9","created_at":"2021-09-30T08:26:36.957Z","updated_at":"2021-09-30T08:26:36.957Z"}],"licence_links":[],"grants":[{"id":7638,"fairsharing_record_id":1532,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:44.636Z","updated_at":"2021-09-30T09:28:44.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7639,"fairsharing_record_id":1532,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:44.672Z","updated_at":"2021-09-30T09:31:38.526Z","grant_id":1262,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"603288","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7640,"fairsharing_record_id":1532,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:44.710Z","updated_at":"2021-09-30T09:28:44.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7641,"fairsharing_record_id":1532,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:28:44.769Z","updated_at":"2021-09-30T09:28:44.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1533","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T09:49:03.201Z","metadata":{"doi":"10.25504/FAIRsharing.h1gmb7","name":"Durum Wheat","status":"ready","contacts":[{"contact_name":"Patrice Buche","contact_email":"patrice.buche@supagro.inra.fr"}],"homepage":"https://www6.inrae.fr/cati-icat-atweb/Ontologies/Durum-wheat","identifier":1533,"description":"The durum wheat ontology (DURUM_WHEAT) is dedicated to the sustainability analysis of the durum wheat chain. Current data available on this ontology concern durum wheat quality control criteria used in different countries (Moisture content rate, chemical content, etc.).","abbreviation":"DURUM_WHEAT","year_creation":2016},"legacy_ids":["bsg-001101","bsg-s001101"],"name":"FAIRsharing record for: Durum Wheat","abbreviation":"DURUM_WHEAT","url":"https://fairsharing.org/10.25504/FAIRsharing.h1gmb7","doi":"10.25504/FAIRsharing.h1gmb7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The durum wheat ontology (DURUM_WHEAT) is dedicated to the sustainability analysis of the durum wheat chain. Current data available on this ontology concern durum wheat quality control criteria used in different countries (Moisture content rate, chemical content, etc.).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Quality control"],"taxonomies":["Triticum durum"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1214,"relation":"undefined"}],"grants":[{"id":7643,"fairsharing_record_id":1533,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:44.843Z","updated_at":"2021-09-30T09:28:44.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7642,"fairsharing_record_id":1533,"organisation_id":2908,"relation":"maintains","created_at":"2021-09-30T09:28:44.807Z","updated_at":"2021-09-30T09:28:44.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":2908,"name":"UMR AGIR (AGroecology, Innovations, Ruralities), Institut national de la recherche agronomique (INRA), Paris, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1534","type":"fairsharing_records","attributes":{"created_at":"2020-07-10T18:52:50.000Z","updated_at":"2022-07-20T12:38:41.741Z","metadata":{"doi":"10.25504/FAIRsharing.kwsfg2","name":"BACPAC Minimum Dataset: Required Baseline Demographic and Outcomes Measures","status":"ready","contacts":[{"contact_name":"Anna Hoffmeyer","contact_email":"bacpac_dac@unc.edu"}],"homepage":"https://heal.nih.gov/research/clinical-research/back-pain","identifier":1534,"description":"This document contains domains and instruments for the longitudinal assessments in the BACPAC Minimum Dataset. Where applicable, core data elements of the BACPAC Minimum Dataset are taken from previously validated instruments (e.g., PROMIS measures). The BACPAC Minimum Dataset is an expanded version of the HEAL Initiative Core Data Elements. In addition to the longitudinal assessments, the BACPAC Minimum Dataset includes a collection of demographic and baseline characteristic core data elements, which are administered to study participants at baseline only.","abbreviation":null,"support_links":[{"url":"BACPAC-NIH@mail.nih.gov","name":"BACPAC Contact","type":"Support email"}],"year_creation":2020},"legacy_ids":["bsg-001511","bsg-s001511"],"name":"FAIRsharing record for: BACPAC Minimum Dataset: Required Baseline Demographic and Outcomes Measures","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.kwsfg2","doi":"10.25504/FAIRsharing.kwsfg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document contains domains and instruments for the longitudinal assessments in the BACPAC Minimum Dataset. Where applicable, core data elements of the BACPAC Minimum Dataset are taken from previously validated instruments (e.g., PROMIS measures). The BACPAC Minimum Dataset is an expanded version of the HEAL Initiative Core Data Elements. In addition to the longitudinal assessments, the BACPAC Minimum Dataset includes a collection of demographic and baseline characteristic core data elements, which are administered to study participants at baseline only.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Demographics","Pain Medicine"],"domains":["Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7644,"fairsharing_record_id":1534,"organisation_id":650,"relation":"maintains","created_at":"2021-09-30T09:28:44.885Z","updated_at":"2021-09-30T09:28:44.885Z","grant_id":null,"is_lead":false,"saved_state":{"id":650,"name":"Data Integration, Algorithm Development and Operations Management Center (DAC) for BACPAC, UNC Chapel Hill, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7645,"fairsharing_record_id":1534,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:44.935Z","updated_at":"2021-09-30T09:29:55.554Z","grant_id":471,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U24AR076730","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1535","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T12:42:38.536Z","metadata":{"doi":"10.25504/FAIRsharing.wsfk5z","name":"Animal Trait Ontology for Livestock","status":"ready","contacts":[{"contact_name":"Pierre-Yves LeBail","contact_email":"pylebail@rennes.inra.fr"}],"homepage":"http://www.atol-ontology.com/en/atol-2/","citations":[],"identifier":1535,"description":"ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment. ATOL aims to: provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; represent traits as generic as possible for livestock vertebrates; make the ATOL ontology as operational as possible and closely related to measurement techniques; and structure the ontology in relation to animal production.","abbreviation":"ATOL","support_links":[{"url":"matthieu.reichstadt@clermont.inra.fr","name":"Matthieu Reichstadt","type":"Support email"},{"url":"https://www.ebi.ac.uk/ols/ontologies/atol","name":"ATOL in the EBI's Ontology Lookup Service (OLS)","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ATOL","name":"ATOL","portal":"BioPortal"}]},"legacy_ids":["bsg-001033","bsg-s001033"],"name":"FAIRsharing record for: Animal Trait Ontology for Livestock","abbreviation":"ATOL","url":"https://fairsharing.org/10.25504/FAIRsharing.wsfk5z","doi":"10.25504/FAIRsharing.wsfk5z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment. ATOL aims to: provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; represent traits as generic as possible for livestock vertebrates; make the ATOL ontology as operational as possible and closely related to measurement techniques; and structure the ontology in relation to animal production.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Husbandry","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Vertebrata"],"user_defined_tags":["Livestock"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":759,"relation":"undefined"}],"grants":[{"id":7646,"fairsharing_record_id":1535,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:44.986Z","updated_at":"2021-09-30T09:28:44.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1528","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:14:20.841Z","metadata":{"doi":"10.25504/FAIRsharing.y47s7f","name":"International Classification for Nursing Practice","status":"ready","contacts":[{"contact_name":"ICNP General Contact","contact_email":"icnp@icn.ch"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-for-nursing-practice","identifier":1528,"description":"The International Classification for Nursing Practice (INCP) was accepted by WHO within the WHO Family of International Classifications (FIC) to extend the coverage of the domain of nursing practice as an essential and complementary part of professional health services. ICNP classifies patient data and clinical activity in the domain of nursing and can be used for decision-making and policy development aimed at improving health status and health care delivery. ICNP can represent diagnoses, interventions, and outcomes. A number of subsets are available to provide precoordinated concepts for select health priorities, including nursing outcome indicators, paediatric pain management, palliative care, and partnering with patients and families to promote adherence to treatment.","abbreviation":"ICNP","support_links":[{"url":"https://www.icn.ch/what-we-doprojectsehealth-icnptm/about-icnp/icnp-catalogues","name":"About ICNP","type":"Help documentation"}],"year_creation":1996,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICNP","name":"ICNP","portal":"BioPortal"}]},"legacy_ids":["bsg-002639","bsg-s002639"],"name":"FAIRsharing record for: International Classification for Nursing Practice","abbreviation":"ICNP","url":"https://fairsharing.org/10.25504/FAIRsharing.y47s7f","doi":"10.25504/FAIRsharing.y47s7f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification for Nursing Practice (INCP) was accepted by WHO within the WHO Family of International Classifications (FIC) to extend the coverage of the domain of nursing practice as an essential and complementary part of professional health services. ICNP classifies patient data and clinical activity in the domain of nursing and can be used for decision-making and policy development aimed at improving health status and health care delivery. ICNP can represent diagnoses, interventions, and outcomes. A number of subsets are available to provide precoordinated concepts for select health priorities, including nursing outcome indicators, paediatric pain management, palliative care, and partnering with patients and families to promote adherence to treatment.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17299},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12522}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Primary Health Care","Biomedical Science"],"domains":["Electronic health record","Patient care","Hospital","Nurse"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1749,"pubmed_id":15460220,"title":"The International Classification For Nursing Practice.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/15460220","authors":"Mortensen RA,Nielsen GH","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-60750-909-7-45","created_at":"2021-09-30T08:25:36.288Z","updated_at":"2021-09-30T08:25:36.288Z"}],"licence_links":[{"licence_name":"ICNP Download","licence_id":413,"licence_url":"https://www.icn.ch/what-we-do/projects/ehealth-icnptm/icnp-download","link_id":1291,"relation":"undefined"}],"grants":[{"id":7631,"fairsharing_record_id":1528,"organisation_id":1484,"relation":"maintains","created_at":"2021-09-30T09:28:44.335Z","updated_at":"2021-09-30T09:28:44.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1484,"name":"International Council of Nurses","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1529","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T16:48:51.000Z","updated_at":"2022-07-20T09:15:41.959Z","metadata":{"doi":"10.25504/FAIRsharing.27a0f4","name":"Premis Data Dictionary for the Preservation Metadata","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"PIG@listserv.loc.gov"}],"homepage":"http://www.loc.gov/standards/premis/","citations":[],"identifier":1529,"description":"PREMIS is a metadata standard used worldwide for the preservation of digital objects which prolongs their use. The standard is maintained by the PREMIS Editorial Committee which includes data dictionary an XML schema and supporting documentation.","abbreviation":"PREMIS","support_links":[{"url":"http://www.loc.gov/standards/premis/contact-premis.php","name":"Contact","type":"Contact form"},{"url":"PIG@listserv.loc.gov","name":"Subscribe to the forum","type":"Support email"},{"url":"http://www.loc.gov/standards/premis/bibliography.html","name":"online documents","type":"Help documentation"},{"url":"http://www.loc.gov/standards/premis/tutorials.html","name":"tutorials","type":"Training documentation"}],"associated_tools":[{"url":"https://www.archivematica.org/","name":"Archivematic"},{"url":"http://www.archiviststoolkit.org/","name":"Archivist's Toolkit"},{"url":"http://www.nationalarchives.gov.uk/aboutapps/pronom/","name":"DROID"},{"url":"http://sourceforge.net/projects/echodep/","name":"Echodep"},{"url":"http://ingestlist.sf.net/","name":"IngestList"},{"url":"http://meta-extractor.sourceforge.net/","name":"New Zealand Metadata extractor"},{"url":"http://www.exlibrisgroup.com/category/RosettaOverview","name":"Rosetta"}]},"legacy_ids":["bsg-001310","bsg-s001310"],"name":"FAIRsharing record for: Premis Data Dictionary for the Preservation Metadata","abbreviation":"PREMIS","url":"https://fairsharing.org/10.25504/FAIRsharing.27a0f4","doi":"10.25504/FAIRsharing.27a0f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PREMIS is a metadata standard used worldwide for the preservation of digital objects which prolongs their use. The standard is maintained by the PREMIS Editorial Committee which includes data dictionary an XML schema and supporting documentation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7632,"fairsharing_record_id":1529,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:44.376Z","updated_at":"2021-09-30T09:28:44.376Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1530","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-20T11:21:12.140Z","metadata":{"doi":"10.25504/FAIRsharing.p5df9c","name":"Faceted Application of Subject Terminology","status":"ready","contacts":[{"contact_name":"Support: UK Centre","contact_email":"support-uk@oclc.org"}],"homepage":"https://www.oclc.org/research/themes/data-science/fast.html","citations":[],"identifier":1530,"description":"FAST (Faceted Application of Subject Terminology) is a nine-facet vocabulary derived from the Library of Congress Subject Headings (LCSH), and is one of the library domain's most widely used subject terminology schemas. The broad purpose of adapting the LCSH with a simplified syntax to create FAST is to retain the rich vocabulary of LCSH while making the schema easier to understand, control, apply, and use. The schema maintains upward compatibility with LCSH, and any valid set of LC subject headings can be converted to FAST headings.","abbreviation":"FAST","support_links":[{"url":"https://www.oclc.org/research/forms/fast-contact.html","name":"Contact Form","type":"Contact form"},{"url":"oclc@oclc.org","name":"General Contact","type":"Support email"},{"url":"https://www.oclc.org/content/dam/oclc/fast/FAST-FAQ-Nov2019.pdf","name":"FAQ (PDF)","type":"Frequently Asked Questions (FAQs)"},{"url":"http://fast.oclc.org/searchfast/searchFastHowto.pdf","name":"Search Help (PDF)","type":"Help documentation"},{"url":"http://fast.oclc.org/fastChanges/","name":"Change Document","type":"Help documentation"},{"url":"https://www.oclc.org/en/fast.html","name":"About FAST","type":"Help documentation"},{"url":"https://help.oclc.org/Metadata_Services/Connexion/Troubleshooting/What_is_FAST","name":"What is FAST?","type":"Help documentation"}],"year_creation":1998},"legacy_ids":["bsg-000995","bsg-s000995"],"name":"FAIRsharing record for: Faceted Application of Subject Terminology","abbreviation":"FAST","url":"https://fairsharing.org/10.25504/FAIRsharing.p5df9c","doi":"10.25504/FAIRsharing.p5df9c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FAST (Faceted Application of Subject Terminology) is a nine-facet vocabulary derived from the Library of Congress Subject Headings (LCSH), and is one of the library domain's most widely used subject terminology schemas. The broad purpose of adapting the LCSH with a simplified syntax to create FAST is to retain the rich vocabulary of LCSH while making the schema easier to understand, control, apply, and use. The schema maintains upward compatibility with LCSH, and any valid set of LC subject headings can be converted to FAST headings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":409,"relation":"undefined"}],"grants":[{"id":7634,"fairsharing_record_id":1530,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:44.452Z","updated_at":"2021-09-30T09:28:44.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9030,"fairsharing_record_id":1530,"organisation_id":2222,"relation":"maintains","created_at":"2022-03-28T08:22:32.794Z","updated_at":"2022-03-28T08:22:32.794Z","grant_id":null,"is_lead":false,"saved_state":{"id":2222,"name":"OCLC","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1531","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:36:08.484Z","metadata":{"doi":"10.25504/FAIRsharing.e45arr","name":"OntoBiotope","status":"ready","contacts":[{"contact_name":"Claire Nédellec","contact_email":"claire.nedellec@jouy.inra.fr","contact_orcid":"0000-0002-0577-0595"}],"homepage":"http://dx.doi.org/10.15454/1.4382640528105164E12","identifier":1531,"description":"OntoBiotope is an ontology of microorganism habitats. Its modeling principle and its lexicon reflect the biotope classification used by biologists to describe microorganism isolation sites (e.g. GenBank, GOLD, ATCC). OntoBiotope is developed and maintained by the Meta-omics of Microbial Ecosystems (MEM) network in which 30 microbiologists from INRA (French National Institute for Agricultural Research) from all fields of applied microbiology participate. The relevance of OntoBiotope terms is evaluated through the PubMedBiotope semantic search engine. It identifies and categorizes microbial biotopes in all PubMed abstracts by applying the ToMap method (Text to Ontology Mapping) to the OntoBiotope ontology. It also indexes 3,35 millions relations between taxa and their habitats.","abbreviation":"OntoBiotope","support_links":[{"url":"http://bibliome.jouy.inra.fr/MEM-OntoBiotope/about.html","name":"About OntoBiotope","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001117","bsg-s001117"],"name":"FAIRsharing record for: OntoBiotope","abbreviation":"OntoBiotope","url":"https://fairsharing.org/10.25504/FAIRsharing.e45arr","doi":"10.25504/FAIRsharing.e45arr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoBiotope is an ontology of microorganism habitats. Its modeling principle and its lexicon reflect the biotope classification used by biologists to describe microorganism isolation sites (e.g. GenBank, GOLD, ATCC). OntoBiotope is developed and maintained by the Meta-omics of Microbial Ecosystems (MEM) network in which 30 microbiologists from INRA (French National Institute for Agricultural Research) from all fields of applied microbiology participate. The relevance of OntoBiotope terms is evaluated through the PubMedBiotope semantic search engine. It identifies and categorizes microbial biotopes in all PubMed abstracts by applying the ToMap method (Text to Ontology Mapping) to the OntoBiotope ontology. It also indexes 3,35 millions relations between taxa and their habitats.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12531}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Life Science"],"domains":["Text mining","Ecosystem"],"taxonomies":["Bacteria"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1302,"relation":"undefined"}],"grants":[{"id":7635,"fairsharing_record_id":1531,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:44.493Z","updated_at":"2021-09-30T09:28:44.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7637,"fairsharing_record_id":1531,"organisation_id":1826,"relation":"maintains","created_at":"2021-09-30T09:28:44.599Z","updated_at":"2021-09-30T09:28:44.599Z","grant_id":null,"is_lead":false,"saved_state":{"id":1826,"name":"Micalis Institute, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1536","type":"fairsharing_records","attributes":{"created_at":"2020-10-21T17:30:03.000Z","updated_at":"2022-07-20T12:26:02.166Z","metadata":{"doi":"10.25504/FAIRsharing.RdHnQX","name":"BioSimulators conventions for the inputs, outputs, and capabilities of biosimulation software tools","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"https://docs.biosimulations.org/concepts/conventions","citations":[],"identifier":1536,"description":"The BioSimulators conventions encompass several conventions for biosimulation tools (see below). In combination with modeling languages such as Cell-ML and SBML, SED-ML, KISAO, and COMBINE/OMEX, the BioSimulators standards enable investigators to use compliant biosimulation tools to execute simulations with the same syntax and generate consistent results. (a) A format for describing the specifications of a biosimulation tool including its name and version; a description of the tool; the modeling frameworks (e.g., logical, constraint-based, kinetic), simulation algorithms (e.g., CVODE, FBA, SSA), and modeling formats (e.g., BNGL, SBML) that the tool supports; the parameters of each algorithm, their data types, and their default values; links to the tool and documentation about the tool; and additional metadata such as citations for the tool. (b) Specifications for the syntax and semantics of the inputs (command-line arguments) and outputs (reports and charts of simulation results) of command-line interfaces for biosimulation tools. (c) Specifications for (i) the entry points of Docker images of biosimulation tools and (ii) using Docker labels to annotate basic metadata about images such as the name and version of the simulation tool inside the image. (d) A format for describing reports of simulation results, including the numerical predictions, as well as metadata about the semantic meaning of each axis and each individual row and column.","abbreviation":"BioSimulators conventions","support_links":[{"url":"https://github.com/biosimulators/Biosimulators/issues/new/choose","name":"Issue tracker","type":"Github"},{"url":"info@biosimulators.org","name":"Email","type":"Support email"},{"url":"https://biosimulators.org/help/faq","name":"FAW","type":"Frequently Asked Questions (FAQs)"},{"url":"https://biosimulators.org/help","name":"Tutorial and help","type":"Help documentation"},{"url":"https://biosimulators.org/conventions/simulator-interfaces","name":"Simulator Interfaces Documentation","type":"Help documentation"},{"url":"https://biosimulators.org/conventions/simulator-specs","name":"Simulator Specification Documentation","type":"Help documentation"},{"url":"https://github.com/biosimulators/Biosimulators_simulator_template","name":"Template containerized simulator","type":"Github"},{"url":"https://biosimulators.org/conventions/simulation-reports","name":"Simulation Reports Documentation","type":"Help documentation"},{"url":"https://biosimulators.org/conventions/simulator-images","name":"Simulator Docker Images Documentation","type":"Help documentation"}],"year_creation":2020},"legacy_ids":["bsg-001536","bsg-s001536"],"name":"FAIRsharing record for: BioSimulators conventions for the inputs, outputs, and capabilities of biosimulation software tools","abbreviation":"BioSimulators conventions","url":"https://fairsharing.org/10.25504/FAIRsharing.RdHnQX","doi":"10.25504/FAIRsharing.RdHnQX","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioSimulators conventions encompass several conventions for biosimulation tools (see below). In combination with modeling languages such as Cell-ML and SBML, SED-ML, KISAO, and COMBINE/OMEX, the BioSimulators standards enable investigators to use compliant biosimulation tools to execute simulations with the same syntax and generate consistent results. (a) A format for describing the specifications of a biosimulation tool including its name and version; a description of the tool; the modeling frameworks (e.g., logical, constraint-based, kinetic), simulation algorithms (e.g., CVODE, FBA, SSA), and modeling formats (e.g., BNGL, SBML) that the tool supports; the parameters of each algorithm, their data types, and their default values; links to the tool and documentation about the tool; and additional metadata such as citations for the tool. (b) Specifications for the syntax and semantics of the inputs (command-line arguments) and outputs (reports and charts of simulation results) of command-line interfaces for biosimulation tools. (c) Specifications for (i) the entry points of Docker images of biosimulation tools and (ii) using Docker labels to annotate basic metadata about images such as the name and version of the simulation tool inside the image. (d) A format for describing reports of simulation results, including the numerical predictions, as well as metadata about the semantic meaning of each axis and each individual row and column.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Biology","Systems Biology"],"domains":["Mathematical model","Kinetic model","Biological network analysis","Software"],"taxonomies":["Not applicable"],"user_defined_tags":["Genome Scale Metabolic Model","Multi-scale model"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":319,"relation":"undefined"}],"grants":[{"id":7648,"fairsharing_record_id":1536,"organisation_id":437,"relation":"maintains","created_at":"2021-09-30T09:28:45.068Z","updated_at":"2021-09-30T09:28:45.068Z","grant_id":null,"is_lead":true,"saved_state":{"id":437,"name":"Center for Reproducible Biomedical Modeling","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7647,"fairsharing_record_id":1536,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:28:45.028Z","updated_at":"2021-09-30T09:32:45.220Z","grant_id":1762,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41EB023912","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1537","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:18.340Z","metadata":{"doi":"10.25504/FAIRsharing.pwvtn5","name":"NeuroML","status":"ready","contacts":[{"contact_name":"Padraig Gleeson","contact_email":"neuroml-technology@lists.sourceforge.net","contact_orcid":"0000-0001-5963-8576"}],"homepage":"http://www.neuroml.org","identifier":1537,"description":"NeuroML is a model description language developed in XML (extensible Markup Language) that was created to facilitate data archiving, data and model exchange, database creation, and model publication in the neurosciences. One of the goals of the NeuroML project is to develop standards for model specification that will allow for greater simulator interoperability and model exchange.","abbreviation":"NeuroML","support_links":[{"url":"http://www.neuroml.org/introduction.php","type":"Help documentation"},{"url":"http://sourceforge.net/p/neuroml/mailman/neuroml-technology/","type":"Help documentation"}],"year_creation":2001,"associated_tools":[{"url":"https://github.com/NeuroML/jNeuroML","name":"jNeuroML"}]},"legacy_ids":["bsg-000123","bsg-s000123"],"name":"FAIRsharing record for: NeuroML","abbreviation":"NeuroML","url":"https://fairsharing.org/10.25504/FAIRsharing.pwvtn5","doi":"10.25504/FAIRsharing.pwvtn5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeuroML is a model description language developed in XML (extensible Markup Language) that was created to facilitate data archiving, data and model exchange, database creation, and model publication in the neurosciences. One of the goals of the NeuroML project is to develop standards for model specification that will allow for greater simulator interoperability and model exchange.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10846},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11147},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11876},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11949},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12202},{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12385},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16944}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Cellular Neuroscience","Neurobiology","Computational Neuroscience","Life Science","Neuroscience"],"domains":["Mathematical model","Network model","Modeling and simulation","Assay","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Brazil","France","India","United Kingdom","United States"],"publications":[{"id":1802,"pubmed_id":11545699,"title":"Towards NeuroML: model description methods for collaborative modelling in neuroscience.","year":2001,"url":"http://doi.org/10.1098/rstb.2001.0910","authors":"Goddard NH,Hucka M,Howell F,Cornelis H,Shankar K,Beeman D","journal":"Philos Trans R Soc Lond B Biol Sci","doi":"10.1098/rstb.2001.0910","created_at":"2021-09-30T08:25:42.321Z","updated_at":"2021-09-30T08:25:42.321Z"},{"id":2754,"pubmed_id":25309419,"title":"LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2.","year":2014,"url":"http://doi.org/10.3389/fninf.2014.00079","authors":"Cannon RC,Gleeson P,Crook S,Ganapathy G,Marin B,Piasini E,Silver RA","journal":"Front Neuroinform","doi":"10.3389/fninf.2014.00079","created_at":"2021-09-30T08:27:38.539Z","updated_at":"2021-09-30T08:27:38.539Z"},{"id":2755,"pubmed_id":20585541,"title":"NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.","year":2010,"url":"http://doi.org/10.1371/journal.pcbi.1000815","authors":"Gleeson P,Crook S,Cannon RC,Hines ML,Billings GO,Farinella M,Morse TM,Davison AP,Ray S,Bhalla US,Barnes SR,Dimitrova YD,Silver RA","journal":"PLoS Comput Biol","doi":"10.1371/journal.pcbi.1000815","created_at":"2021-09-30T08:27:38.656Z","updated_at":"2021-09-30T08:27:38.656Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":2096,"relation":"undefined"}],"grants":[{"id":7649,"fairsharing_record_id":1537,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:45.107Z","updated_at":"2021-09-30T09:30:52.241Z","grant_id":911,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"086699","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7651,"fairsharing_record_id":1537,"organisation_id":2142,"relation":"maintains","created_at":"2021-09-30T09:28:45.177Z","updated_at":"2021-09-30T09:28:45.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":2142,"name":"NeuroML community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7650,"fairsharing_record_id":1537,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:28:45.140Z","updated_at":"2021-09-30T09:31:26.227Z","grant_id":1168,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"G0400598","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7652,"fairsharing_record_id":1537,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:45.219Z","updated_at":"2021-09-30T09:31:26.809Z","grant_id":1172,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"005490","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1538","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T10:54:21.000Z","updated_at":"2024-03-17T19:43:53.029Z","metadata":{"doi":"10.25504/FAIRsharing.0b7e54","name":"Handle","status":"ready","contacts":[{"contact_name":"Handle Administrators","contact_email":"hdladmin@cnri.reston.va.us"}],"homepage":"http://handle.net","citations":[],"identifier":1538,"description":"The Handle System is the Corporation for National Research Initiatives's proprietary registry assigning persistent identifiers, or handles, to information resources, and for resolving \"those handles into the information necessary to locate, access, and otherwise make use of the resources\". As with handles used elsewhere in computing, Handle System handles are opaque, and encode no information about the underlying resource, being bound only to metadata regarding the resource. Consequently, the handles are not rendered invalid by changes to the metadata.","abbreviation":"hdl","support_links":[{"url":"http://www.handle.net/hnr_support.html","name":"Handle Support","type":"Help documentation"},{"url":"http://www.handle.net/hnr_documentation.html","name":"Handle Documentation","type":"Help documentation"},{"url":"http://www.handle.net/prefix.html","name":"Prefix Registration Documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Handle_System","name":"Wikipedia Entry: Handle System","type":"Wikipedia"}],"year_creation":1994,"associated_tools":[{"url":"http://www.handle.net/download_hnr.html","name":"Handle.Net Software"}],"cross_references":[{"url":"https://bioregistry.io/registry/hdl","name":"Bioregistry","portal":"Other"}],"regular_expression":"^\\d+/.+$"},"legacy_ids":["bsg-001187","bsg-s001187"],"name":"FAIRsharing record for: Handle","abbreviation":"hdl","url":"https://fairsharing.org/10.25504/FAIRsharing.0b7e54","doi":"10.25504/FAIRsharing.0b7e54","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Handle System is the Corporation for National Research Initiatives's proprietary registry assigning persistent identifiers, or handles, to information resources, and for resolving \"those handles into the information necessary to locate, access, and otherwise make use of the resources\". As with handles used elsewhere in computing, Handle System handles are opaque, and encode no information about the underlying resource, being bound only to metadata regarding the resource. Consequently, the handles are not rendered invalid by changes to the metadata.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17383}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Handle System Public License Agreement Version 2","licence_id":376,"licence_url":"http://www.handle.net/HSj/hdlnet-2-LICENSE.pdf","link_id":2001,"relation":"undefined"},{"licence_name":"Handle System Service Agreement Version 3","licence_id":377,"licence_url":"http://www.handle.net/HSj/hdlnet-2-SVC-AGREE-3.pdf","link_id":2002,"relation":"undefined"}],"grants":[{"id":7653,"fairsharing_record_id":1538,"organisation_id":615,"relation":"maintains","created_at":"2021-09-30T09:28:45.257Z","updated_at":"2021-09-30T09:28:45.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":615,"name":"Corporation for National Research Initiatives (CNRI), USA","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":9559,"fairsharing_record_id":1538,"organisation_id":566,"relation":"collaborates_on","created_at":"2022-05-25T00:57:50.334Z","updated_at":"2022-05-25T00:57:50.334Z","grant_id":null,"is_lead":false,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure, European Research Infrastructure Consortium, Utrecht University","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":9560,"fairsharing_record_id":1538,"organisation_id":588,"relation":"collaborates_on","created_at":"2022-05-25T00:57:50.373Z","updated_at":"2022-05-25T00:57:50.373Z","grant_id":null,"is_lead":false,"saved_state":{"id":588,"name":"Computer Network Information Center, Chinese Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9561,"fairsharing_record_id":1538,"organisation_id":3535,"relation":"collaborates_on","created_at":"2022-05-25T00:57:50.475Z","updated_at":"2022-05-25T00:57:50.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":3535,"name":"CSC – IT CENTER FOR SCIENCE LTD.","types":["Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1539","type":"fairsharing_records","attributes":{"created_at":"2021-07-07T09:30:30.000Z","updated_at":"2024-04-18T13:56:48.797Z","metadata":{"doi":"10.25504/FAIRsharing.e0b3b3","name":"FAIR chemical structure template","status":"ready","contacts":[{"contact_name":"Emma Schymanski","contact_email":"emma.schymanski@uni.lu"}],"homepage":"https://doi.org/10.1186/s13321-021-00520-4","citations":[{"doi":"10.1186/s13321-021-00520-4","pubmed_id":null,"publication_id":2793}],"identifier":1539,"description":"Open specification that describes how chemical structures in journal articles can be shared in a FAIR way.","abbreviation":null,"support_links":[{"url":"bolton@ncbi.nlm.nih.gov","name":"Evan Bolton","type":"Support email"}],"year_creation":2021},"legacy_ids":["bsg-001622","bsg-s001622"],"name":"FAIRsharing record for: FAIR chemical structure template","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.e0b3b3","doi":"10.25504/FAIRsharing.e0b3b3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open specification that describes how chemical structures in journal articles can be shared in a FAIR way.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Luxembourg","United States"],"publications":[{"id":2793,"pubmed_id":null,"title":"FAIR chemical structures in the Journal of Cheminformatics","year":2021,"url":"http://doi.org/10.1186/s13321-021-00520-4","authors":"Emma Schymanski, Evan Bolton","journal":"Journal of Cheminformatics","doi":"10.1186/s13321-021-00520-4","created_at":"2021-09-30T08:27:43.434Z","updated_at":"2021-09-30T08:27:43.434Z"},{"id":4254,"pubmed_id":null,"title":"FAIRifying the exposome journal: Templates for chemical structures and transformations","year":2021,"url":"http://dx.doi.org/10.1093/exposome/osab006","authors":"Schymanski, Emma L; Bolton, Evan E; ","journal":"Exposome","doi":"10.1093/exposome/osab006","created_at":"2024-04-17T04:15:29.280Z","updated_at":"2024-04-17T04:15:29.280Z"},{"id":4255,"pubmed_id":null,"title":"ShinyTPs: Curating Transformation Products from Text Mining Results","year":2023,"url":"http://dx.doi.org/10.1021/acs.estlett.3c00537","authors":"Palm, Emma H.; Chirsir, Parviel; Krier, Jessy; Thiessen, Paul A.; Zhang, Jian; Bolton, Evan E.; Schymanski, Emma L.; ","journal":"Environ. Sci. Technol. Lett.","doi":"10.1021/acs.estlett.3c00537","created_at":"2024-04-18T07:07:35.292Z","updated_at":"2024-04-18T07:07:35.292Z"},{"id":4256,"pubmed_id":null,"title":"Adding open spectral data to MassBank and PubChem using open source tools to support non-targeted exposomics of mixtures","year":2023,"url":"http://dx.doi.org/10.1039/D3EM00181D","authors":"Elapavalore, Anjana; Kondić, Todor; Singh, Randolph R.; Shoemaker, Benjamin A.; Thiessen, Paul A.; Zhang, Jian; Bolton, Evan E.; Schymanski, Emma L.; ","journal":"Environ. Sci.: Processes Impacts","doi":"10.1039/d3em00181d","created_at":"2024-04-18T07:15:24.499Z","updated_at":"2024-04-18T07:15:24.499Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2379,"relation":"undefined"}],"grants":[{"id":7654,"fairsharing_record_id":1539,"organisation_id":1543,"relation":"funds","created_at":"2021-09-30T09:28:45.290Z","updated_at":"2021-09-30T09:28:45.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":1543,"name":"Intramural Research Program (IRP) of the National Institutes of Health, Bethesda, MD","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7656,"fairsharing_record_id":1539,"organisation_id":1735,"relation":"funds","created_at":"2021-09-30T09:28:45.365Z","updated_at":"2021-09-30T09:30:08.771Z","grant_id":571,"is_lead":false,"saved_state":{"id":1735,"name":"Luxembourg National Research Fund (FNR), Luxembourg","grant":"A18/BM/12341006","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7655,"fairsharing_record_id":1539,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:28:45.327Z","updated_at":"2021-09-30T09:28:45.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7657,"fairsharing_record_id":1539,"organisation_id":1734,"relation":"maintains","created_at":"2021-09-30T09:28:45.397Z","updated_at":"2021-09-30T09:28:45.397Z","grant_id":null,"is_lead":false,"saved_state":{"id":1734,"name":"Luxembourg Centre for Systems Biomedicine (LCSB), Luxembourg, Luxembourg","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1540","type":"fairsharing_records","attributes":{"created_at":"2019-04-26T09:37:56.000Z","updated_at":"2022-07-20T12:41:54.461Z","metadata":{"doi":"10.25504/FAIRsharing.3CCrPF","name":"PyNN","status":"ready","contacts":[],"homepage":"https://neuralensemble.org/PyNN/","citations":[{"doi":"10.3389/neuro.11.011.2008","pubmed_id":19194529,"publication_id":2344}],"identifier":1540,"description":"The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowing access to the details of individual neurons and synapses when required. PyNN provides a library of standard neuron, synapse and synaptic plasticity models, which have been verified to work the same on the different supported simulators. PyNN also provides a set of commonly-used connectivity algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes it easy to provide your own connectivity in a simulator-independent way, either using the Connection Set Algebra or by writing your own Python code. PyNN has been developed as a procedural description in Python which can be used to instantiate a network across multiple simulators.","abbreviation":"PyNN","support_links":[{"url":"https://groups.google.com/forum/#!forum/neuralensemble","name":"NeuralEnsemble Forum","type":"Forum"},{"url":"https://github.com/NeuralEnsemble/PyNN/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://neuralensemble.org/docs/PyNN/","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/NeuralEnsemble/PyNN/","name":"GitHub Repository","type":"Github"}],"year_creation":2008,"associated_tools":[{"url":"https://pypi.org/project/PyNN/","name":"PyNN 0.9.4"}]},"legacy_ids":["bsg-001366","bsg-s001366"],"name":"FAIRsharing record for: PyNN","abbreviation":"PyNN","url":"https://fairsharing.org/10.25504/FAIRsharing.3CCrPF","doi":"10.25504/FAIRsharing.3CCrPF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowing access to the details of individual neurons and synapses when required. PyNN provides a library of standard neuron, synapse and synaptic plasticity models, which have been verified to work the same on the different supported simulators. PyNN also provides a set of commonly-used connectivity algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes it easy to provide your own connectivity in a simulator-independent way, either using the Connection Set Algebra or by writing your own Python code. PyNN has been developed as a procedural description in Python which can be used to instantiate a network across multiple simulators.","linked_records":[],"linking_records":[{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12388}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology","Developmental Neurobiology","Computational Neuroscience"],"domains":["Biological network analysis","Network model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","France","Germany","Switzerland"],"publications":[{"id":2344,"pubmed_id":19194529,"title":"PyNN: A Common Interface for Neuronal Network Simulators.","year":2009,"url":"http://doi.org/10.3389/neuro.11.011.2008","authors":"Davison AP,Bruderle D,Eppler J,Kremkow J,Muller E,Pecevski D,Perrinet L,Yger P","journal":"Front Neuroinform","doi":"10.3389/neuro.11.011.2008","created_at":"2021-09-30T08:26:48.018Z","updated_at":"2021-09-30T08:26:48.018Z"}],"licence_links":[{"licence_name":"CeCILL-B","licence_id":111,"licence_url":"https://cecill.info/licences/Licence_CeCILL-B_V1-en.html","link_id":2419,"relation":"undefined"}],"grants":[{"id":7658,"fairsharing_record_id":1540,"organisation_id":2137,"relation":"maintains","created_at":"2021-09-30T09:28:45.421Z","updated_at":"2021-09-30T09:28:45.421Z","grant_id":null,"is_lead":true,"saved_state":{"id":2137,"name":"NeuralEnsemble","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1545","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:04.000Z","updated_at":"2022-07-20T12:48:42.672Z","metadata":{"doi":"10.25504/FAIRsharing.49bmk","name":"AnaEE Thesaurus","status":"ready","contacts":[{"contact_name":"Christian Pichot","contact_email":"christian.pichot@inrae.fr","contact_orcid":"0000-0003-1636-9438"}],"homepage":"https://lovinra.inra.fr/2017/03/13/thesaurus-anaee/","identifier":1545,"description":"The anaeeThes thesaurus aims at providing a controlled vocabulary for the semantic description of the study of continental ecosystems and their biodiversity. The thesaurus consists of concepts handled in different main thematic areas: abiotic (e.g. atmosphere, climate, hydrosphere, litosphere); biotic (e.g. animals, plants, micro-organisms, biodiversity); chemical compounds; experimentation and observation (e.g. instrument, method, protocol, measurement, quality, infrastructure); ecosystems (e.g. type, structure, functioning); modeling (e.g. formalism, platform, type of model, computer language); disciplines (disciplinary and scientific fields); and unit (units of the international system, inherited from the OBOE-standards ontology).","abbreviation":"anaeeThes","support_links":[{"url":"christian.pichot@inrae.fr","name":"Christian Pichot","type":"Support email"},{"url":"andre.chanzy@inra.fr","name":"Andre Chanzy","type":"Support email"},{"url":"philippe.clastre@inrae.fr","name":"Philippe Clastre","type":"Support email"}],"year_creation":2017},"legacy_ids":["bsg-001096","bsg-s001096"],"name":"FAIRsharing record for: AnaEE Thesaurus","abbreviation":"anaeeThes","url":"https://fairsharing.org/10.25504/FAIRsharing.49bmk","doi":"10.25504/FAIRsharing.49bmk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The anaeeThes thesaurus aims at providing a controlled vocabulary for the semantic description of the study of continental ecosystems and their biodiversity. The thesaurus consists of concepts handled in different main thematic areas: abiotic (e.g. atmosphere, climate, hydrosphere, litosphere); biotic (e.g. animals, plants, micro-organisms, biodiversity); chemical compounds; experimentation and observation (e.g. instrument, method, protocol, measurement, quality, infrastructure); ecosystems (e.g. type, structure, functioning); modeling (e.g. formalism, platform, type of model, computer language); disciplines (disciplinary and scientific fields); and unit (units of the international system, inherited from the OBOE-standards ontology).","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11738}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Agricultural Engineering","Ecology","Biodiversity","Atmospheric Science","Ecosystem Science"],"domains":["Experimental measurement","Ecosystem","Modeling and simulation","Protocol","Device","Unit"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":846,"relation":"undefined"}],"grants":[{"id":7666,"fairsharing_record_id":1545,"organisation_id":2367,"relation":"maintains","created_at":"2021-09-30T09:28:45.707Z","updated_at":"2021-09-30T09:28:45.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":2367,"name":"Programme d'Investissements d'Avenir, National Research Agency (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7667,"fairsharing_record_id":1545,"organisation_id":92,"relation":"maintains","created_at":"2021-09-30T09:28:45.740Z","updated_at":"2021-09-30T09:28:45.740Z","grant_id":null,"is_lead":true,"saved_state":{"id":92,"name":"Analysis and Experimentation on Ecosystems (AnaEE), France","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7665,"fairsharing_record_id":1545,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:28:45.670Z","updated_at":"2021-09-30T09:30:26.357Z","grant_id":711,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"11-INBS-0001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1546","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:56:33.766Z","metadata":{"doi":"10.25504/FAIRsharing.5970hq","name":"OBOE: The Extensible Observation Ontology","status":"ready","contacts":[{"contact_name":"Bryce Mecum","contact_email":"mecum@nceas.ucsb.edu","contact_orcid":"0000-0002-0381-3766"}],"homepage":"https://github.com/NCEAS/oboe/","citations":[{"publication_id":1886}],"identifier":1546,"description":"OBOE is a suite of OWL-DL ontologies for modeling and representing scientific observations. The OBOE model is designed as a generic data model with a number of constructs for defining observational data. Key features of OBOE include its ability to represent a wide range of measurement types, a mechanism for specifying measurement context, and the ability to associate the type of entity (e.g., sample, organism, etc.) being measured. OBOE is being used and developed within the Semtools project for describing a wide variety of ecological data stored within the Knowledge Network for Biodiversity (KNB) as well as extensions for ontology-based data annotation and discovery within the MetaCat software infrastructure.","abbreviation":"OBOE","support_links":[{"url":"semtools@ecoinformatics.org","name":"Contact Email","type":"Support email"},{"url":"https://github.com/NCEAS/oboe/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBOE","name":"OBOE","portal":"BioPortal"}]},"legacy_ids":["bsg-002680","bsg-s002680"],"name":"FAIRsharing record for: OBOE: The Extensible Observation Ontology","abbreviation":"OBOE","url":"https://fairsharing.org/10.25504/FAIRsharing.5970hq","doi":"10.25504/FAIRsharing.5970hq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OBOE is a suite of OWL-DL ontologies for modeling and representing scientific observations. The OBOE model is designed as a generic data model with a number of constructs for defining observational data. Key features of OBOE include its ability to represent a wide range of measurement types, a mechanism for specifying measurement context, and the ability to associate the type of entity (e.g., sample, organism, etc.) being measured. OBOE is being used and developed within the Semtools project for describing a wide variety of ecological data stored within the Knowledge Network for Biodiversity (KNB) as well as extensions for ontology-based data annotation and discovery within the MetaCat software infrastructure.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Ecology","Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Observations"],"countries":["United States"],"publications":[{"id":1886,"pubmed_id":null,"title":"An ontology for describing and synthesizing ecological observation data.","year":2007,"url":"https://doi.org/10.1016/j.ecoinf.2007.05.004","authors":"Madin, J., S. Bowers, M. Schildhauer, S. Krivov, D. Pennington, and F. Villa.","journal":"Ecological Informatics","doi":null,"created_at":"2021-09-30T08:25:52.157Z","updated_at":"2021-09-30T08:25:52.157Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":470,"relation":"undefined"}],"grants":[{"id":7668,"fairsharing_record_id":1546,"organisation_id":2210,"relation":"maintains","created_at":"2021-09-30T09:28:45.778Z","updated_at":"2021-09-30T09:28:45.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":2210,"name":"OBOE Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8102,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:58.313Z","updated_at":"2021-09-30T09:30:58.367Z","grant_id":959,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0225676","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7669,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:45.816Z","updated_at":"2021-09-30T09:29:10.078Z","grant_id":122,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0743429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7882,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:24.048Z","updated_at":"2021-09-30T09:29:24.105Z","grant_id":232,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0753144","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8310,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:01.387Z","updated_at":"2021-09-30T09:32:01.441Z","grant_id":1432,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1430508","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1579","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:23.689Z","metadata":{"doi":"10.25504/FAIRsharing.v0hbjs","name":"Encyclopedia of DNA Elements","status":"ready","contacts":[{"contact_name":"Idan Gabdank","contact_email":"gabdank@stanford.edu","contact_orcid":"0000-0001-5025-5886"},{"contact_name":"Meenakshi Kagda","contact_email":"mkagda@stanford.edu","contact_orcid":null}],"homepage":"https://www.encodeproject.org/","citations":[],"identifier":1579,"description":"The ENCODE (Encyclopedia of DNA Elements) Consortium is an international collaboration of research groups funded by the National Human Genome Research Institute (NHGRI). The goal of ENCODE is to build a comprehensive parts list of functional elements in the human genome including elements that act at the protein and RNA levels, and regulatory elements that control cells and circumstances in which a gene is active. ENCODE investigators employ a variety of assays and methods to identify functional elements. The discovery and annotation of gene elements is accomplished primarily by sequencing a diverse range of RNA sources, comparative genomics, integrative bioinformatic methods, and human curation. Regulatory elements are typically investigated through DNA hypersensitivity assays, assays of DNA methylation, and immunoprecipitation (IP) of proteins that interact with DNA and RNA, i.e., modified histones, transcription factors, chromatin regulators, and RNA-binding proteins, followed by sequencing.","abbreviation":"ENCODE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://genome.ucsc.edu/ENCODE/FAQ/index.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://mailman.stanford.edu/mailman/listinfo/encode-announce","type":"Mailing list"},{"url":"http://www.openhelix.com/ENCODE2/","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/ENCODE","type":"Wikipedia"},{"url":"http://genome.ucsc.edu/ENCODE/newsarch.html","name":"News Archive","type":"Blog/News"},{"url":"encode-help@lists.stanford.edu","type":"Support email"},{"url":"https://www.encodeproject.org/help/faq/","name":"ENCODE Portal FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://scicrunch.org/resolver/RRID:SCR_015482","name":"SciCrunch:RRID:SCR_015482","portal":"SciCrunch"},{"url":"https://www.re3data.org/repository/r3d100013051","name":" re3data:r3d100013051","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.encodeproject.org/help/submission/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000034","bsg-d000034"],"name":"FAIRsharing record for: Encyclopedia of DNA Elements","abbreviation":"ENCODE","url":"https://fairsharing.org/10.25504/FAIRsharing.v0hbjs","doi":"10.25504/FAIRsharing.v0hbjs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ENCODE (Encyclopedia of DNA Elements) Consortium is an international collaboration of research groups funded by the National Human Genome Research Institute (NHGRI). The goal of ENCODE is to build a comprehensive parts list of functional elements in the human genome including elements that act at the protein and RNA levels, and regulatory elements that control cells and circumstances in which a gene is active. ENCODE investigators employ a variety of assays and methods to identify functional elements. The discovery and annotation of gene elements is accomplished primarily by sequencing a diverse range of RNA sources, comparative genomics, integrative bioinformatic methods, and human curation. Regulatory elements are typically investigated through DNA hypersensitivity assays, assays of DNA methylation, and immunoprecipitation (IP) of proteins that interact with DNA and RNA, i.e., modified histones, transcription factors, chromatin regulators, and RNA-binding proteins, followed by sequencing.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12577}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Epigenetics"],"domains":["Nucleic acid sequence","DNA sequence data","Genome annotation","Histone","Cap Analysis Gene Expression","Chromatin binding","DNA methylation","Biological regulation","Transcription factor","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Chromatin Interaction Analysis by Paired-End Tag sequencing","Transcript analysis by paired-end tag sequencing","Regulatory region"],"taxonomies":["Caenorhabditis","Drosophila","Homo sapiens","Mus musculus"],"user_defined_tags":["RNA-binding protein target sites"],"countries":["United States"],"publications":[{"id":1048,"pubmed_id":25776021,"title":"Ontology application and use at the ENCODE DCC.","year":2015,"url":"http://doi.org/10.1093/database/bav010","authors":"Malladi VS,Erickson DT,Podduturi NR,Rowe LD,Chan ET,Davidson JM,Hitz BC,Ho M,Lee BT,Miyasato S,Roe GR,Simison M,Sloan CA,Strattan JS,Tanaka F,Kent WJ,Cherry JM,Hong EL","journal":"Database (Oxford)","doi":"10.1093/database/bav010","created_at":"2021-09-30T08:24:16.049Z","updated_at":"2021-09-30T08:24:16.049Z"},{"id":1301,"pubmed_id":23193274,"title":"ENCODE data in the UCSC Genome Browser: year 5 update","year":2012,"url":"http://doi.org/10.1093/nar/gks1172","authors":"Rosenbloom KR, Sloan CA, Malladi VS, Dreszer TR, Learned K, Kirkup VM, Wong MC, Maddren M, Fang R, Heitner SG, Lee BT, Barber GP, Harte RA, Diekhans M, Long JC, Wilder SP, Zweig AS, Karolchik D, Kuhn RM, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1172","created_at":"2021-09-30T08:24:45.301Z","updated_at":"2021-09-30T08:24:45.301Z"},{"id":1539,"pubmed_id":21037257,"title":"ENCODE whole-genome data in the UCSC genome browser (2011 update)","year":2010,"url":"http://doi.org/10.1093/nar/gkq1017","authors":"Raney BJ, Cline MS, Rosenbloom KR, Dreszer TR, Learned K, Barber GP, Meyer LR, Sloan CA, Malladi VS, Roskin KM, Suh BB, Hinrichs AS, Clawson H, Zweig AS, Kirkup V, Fujita PA, Rhead B, Smith KE, Pohl A, Kuhn RM, Karolchik D, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1017","created_at":"2021-09-30T08:25:12.386Z","updated_at":"2021-09-30T08:25:12.386Z"},{"id":2112,"pubmed_id":26527727,"title":"ENCODE data at the ENCODE portal.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1160","authors":"Sloan CA,Chan ET,Davidson JM,Malladi VS,Strattan JS,Hitz BC,Gabdank I,Narayanan AK,Ho M,Lee BT,Rowe LD,Dreszer TR,Roe G,Podduturi NR,Tanaka F,Hong EL,Cherry JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1160","created_at":"2021-09-30T08:26:18.147Z","updated_at":"2021-09-30T11:29:29.444Z"},{"id":2113,"pubmed_id":26980513,"title":"Principles of metadata organization at the ENCODE data coordination center.","year":2016,"url":"http://doi.org/10.1093/database/baw001","authors":"Hong EL,Sloan CA,Chan ET,Davidson JM,Malladi VS,Strattan JS,Hitz BC,Gabdank I,Narayanan AK,Ho M,Lee BT,Rowe LD,Dreszer TR,Roe GR,Podduturi NR,Tanaka F,Hilton JA,Cherry JM","journal":"Database (Oxford)","doi":"10.1093/database/baw001","created_at":"2021-09-30T08:26:18.249Z","updated_at":"2021-09-30T08:26:18.249Z"},{"id":3084,"pubmed_id":22075998,"title":"ENCODE whole-genome data in the UCSC Genome Browser: update 2012.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1012","authors":"Rosenbloom KR, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1012","created_at":"2021-09-30T08:28:20.008Z","updated_at":"2021-09-30T08:28:20.008Z"},{"id":3085,"pubmed_id":19920125,"title":"ENCODE whole-genome data in the UCSC Genome Browser","year":2009,"url":"http://doi.org/10.1093/nar/gkp961","authors":"Rosenbloom KR, Dreszer TR, Pheasant M, Barber GP, Meyer LR, Pohl A, Raney BJ, Wang T, Hinrichs AS, Zweig AS, Fujita PA, Learned K, Rhead B, Smith KE, Kuhn RM, Karolchik D, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp961","created_at":"2021-09-30T08:28:20.134Z","updated_at":"2021-09-30T08:28:20.134Z"},{"id":3094,"pubmed_id":17166863,"title":"The ENCODE project at UC Santa Cruz","year":2006,"url":"http://doi.org/10.1093/nar/gkl1017","authors":"Thomas DJ, Rosenbloom KR, Clawson H, Hinrichs, AS, Trumbower H, Raney BJ, Karolchik D, Barber GP, Harte RA, Hillman-Jackson J, Kuhn RM, Rhead BL, Smith KE, Thakkapallayil A, Zweig AS, The ENCODE Project Consortium, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl1017","created_at":"2021-09-30T08:28:21.226Z","updated_at":"2021-09-30T08:28:21.226Z"},{"id":3277,"pubmed_id":29126249,"title":"The Encyclopedia of DNA elements (ENCODE): data portal update.","year":2018,"url":"https://doi.org/10.1093/nar/gkx1081","authors":"Davis CA, Hitz BC, Sloan CA, Chan ET, Davidson JM, Gabdank I, Hilton JA, Jain K, Baymuradov UK, Narayanan AK, Onate KC, Graham K, Miyasato SR, Dreszer TR, Strattan JS, Jolanki O, Tanaka FY, Cherry JM","journal":"Nucleic acids research","doi":"10.1093/nar/gkx1081","created_at":"2022-03-25T15:30:05.734Z","updated_at":"2022-03-25T15:30:05.734Z"},{"id":3441,"pubmed_id":15499007,"title":"The ENCODE (ENCyclopedia Of DNA Elements) Project.","year":2004,"url":"https://pubmed.ncbi.nlm.nih.gov/15499007","authors":"ENCODE Project Consortium.","journal":"Science (New York, N.Y.)","doi":null,"created_at":"2022-06-17T16:57:23.021Z","updated_at":"2022-06-17T16:57:23.021Z"},{"id":3442,"pubmed_id":null,"title":"SnoVault and encodeD: A novel object-based storage system and applications to ENCODE metadata","year":2017,"url":"http://dx.doi.org/10.1371/journal.pone.0175310","authors":"Hitz, Benjamin C.; Rowe, Laurence D.; Podduturi, Nikhil R.; Glick, David I.; Baymuradov, Ulugbek K.; Malladi, Venkat S.; Chan, Esther T.; Davidson, Jean M.; Gabdank, Idan; Narayana, Aditi K.; Onate, Kathrina C.; Hilton, Jason; Ho, Marcus C.; Lee, Brian T.; Miyasato, Stuart R.; Dreszer, Timothy R.; Sloan, Cricket A.; Strattan, J. Seth; Tanaka, Forrest Y.; Hong, Eurie L.; Cherry, J. Michael; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0175310","created_at":"2022-06-17T17:03:37.608Z","updated_at":"2022-06-17T17:03:37.608Z"},{"id":3443,"pubmed_id":31751002,"title":"The ENCODE Portal as an Epigenomics Resource.","year":2019,"url":"https://doi.org/10.1002/cpbi.89","authors":"Jou J, Gabdank I, Luo Y, Lin K, Sud P, Myers Z, Hilton JA, Kagda MS, Lam B, O'Neill E, Adenekan P, Graham K, Baymuradov UK, R Miyasato S, Strattan JS, Jolanki O, Lee JW, Litton C, Y Tanaka F, Hitz BC, Cherry JM","journal":"Current protocols in bioinformatics","doi":"10.1002/cpbi.89","created_at":"2022-06-17T17:04:30.776Z","updated_at":"2022-06-17T17:04:30.776Z"},{"id":3444,"pubmed_id":null,"title":"Expanded encyclopaedias of DNA elements in the human and mouse genomes","year":2020,"url":"http://dx.doi.org/10.1038/s41586-020-2493-4","authors":"undefined, undefined; Abascal, Federico; Acosta, Reyes; Addleman, Nicholas J.; Adrian, Jessika; Afzal, Veena; Ai, Rizi; Aken, Bronwen; Akiyama, Jennifer A.; Jammal, Omar Al; Amrhein, Henry; Anderson, Stacie M.; Andrews, Gregory R.; Antoshechkin, Igor; Ardlie, Kristin G.; Armstrong, Joel; Astley, Matthew; Banerjee, Budhaditya; Barkal, Amira A.; Barnes, If H. A.; Barozzi, Iros; Barrell, Daniel; Barson, Gemma; Bates, Daniel; Baymuradov, Ulugbek K.; Bazile, Cassandra; Beer, Michael A.; Beik, Samantha; Bender, M. A.; Bennett, Ruth; Bouvrette, Louis Philip Benoit; Bernstein, Bradley E.; Berry, Andrew; Bhaskar, Anand; Bignell, Alexandra; Blue, Steven M.; Bodine, David M.; Boix, Carles; Boley, Nathan; Borrman, Tyler; Borsari, Beatrice; Boyle, Alan P.; Brandsmeier, Laurel A.; Breschi, Alessandra; Bresnick, Emery H.; Brooks, Jason A.; Buckley, Michael; Burge, Christopher B.; Byron, Rachel; Cahill, Eileen; Cai, Lingling; Cao, Lulu; Carty, Mark; Castanon, Rosa G.; Castillo, Andres; Chaib, Hassan; Chan, Esther T.; Chee, Daniel R.; Chee, Sora; Chen, Hao; Chen, Huaming; Chen, Jia-Yu; Chen, Songjie; Cherry, J. Michael; Chhetri, Surya B.; Choudhary, Jyoti S.; Chrast, Jacqueline; Chung, Dongjun; Clarke, Declan; Cody, Neal A. L.; Coppola, Candice J.; Coursen, Julie; D’Ippolito, Anthony M.; Dalton, Stephen; Danyko, Cassidy; Davidson, Claire; Davila-Velderrain, Jose; Davis, Carrie A.; Dekker, Job; Deran, Alden; DeSalvo, Gilberto; Despacio-Reyes, Gloria; Dewey, Colin N.; Dickel, Diane E.; Diegel, Morgan; Diekhans, Mark; Dileep, Vishnu; Ding, Bo; Djebali, Sarah; Dobin, Alexander; Dominguez, Daniel; Donaldson, Sarah; Drenkow, Jorg; Dreszer, Timothy R.; Drier, Yotam; Duff, Michael O.; Dunn, Douglass; Eastman, Catharine; Ecker, Joseph R.; Edwards, Matthew D.; El-Ali, Nicole; Elhajjajy, Shaimae I.; Elkins, Keri; Emili, Andrew; Epstein, Charles B.; Evans, Rachel C.; Ezkurdia, Iakes; Fan, Kaili; Farnham, Peggy J.; Farrell, Nina P.; Feingold, Elise A.; Ferreira, Anne-Maud; Fisher-Aylor, Katherine; Fitzgerald, Stephen; Flicek, Paul; Foo, Chuan Sheng; Fortier, Kevin; Frankish, Adam; Freese, Peter; Fu, Shaliu; Fu, Xiang-Dong; Fu, Yu; Fukuda-Yuzawa, Yoko; Fulciniti, Mariateresa; Funnell, Alister P. W.; Gabdank, Idan; Galeev, Timur; Gao, Mingshi; Giron, Carlos Garcia; Garvin, Tyler H.; Gelboin-Burkhart, Chelsea Anne; Georgolopoulos, Grigorios; Gerstein, Mark B.; Giardine, Belinda M.; Gifford, David K.; Gilbert, David M.; Gilchrist, Daniel A.; Gillespie, Shawn; Gingeras, Thomas R.; Gong, Peng; Gonzalez, Alvaro; Gonzalez, Jose M.; Good, Peter; Goren, Alon; Gorkin, David U.; Graveley, Brenton R.; Gray, Michael; Greenblatt, Jack F.; Griffiths, Ed; Groudine, Mark T.; Grubert, Fabian; Gu, Mengting; Guigó, Roderic; Guo, Hongbo; Guo, Yu; Guo, Yuchun; Gursoy, Gamze; Gutierrez-Arcelus, Maria; Halow, Jessica; Hardison, Ross C.; Hardy, Matthew; Hariharan, Manoj; Harmanci, Arif; Harrington, Anne; Harrow, Jennifer L.; Hashimoto, Tatsunori B.; Hasz, Richard D.; Hatan, Meital; Haugen, Eric; Hayes, James E.; He, Peng; He, Yupeng; Heidari, Nastaran; Hendrickson, David; Heuston, Elisabeth F.; Hilton, Jason A.; Hitz, Benjamin C.; Hochman, Abigail; Holgren, Cory; Hou, Lei; Hou, Shuyu; Hsiao, Yun-Hua E.; Hsu, Shanna; Huang, Hui; Hubbard, Tim J.; Huey, Jack; Hughes, Timothy R.; Hunt, Toby; Ibarrientos, Sean; Issner, Robbyn; Iwata, Mineo; Izuogu, Osagie; Jaakkola, Tommi; Jameel, Nader; Jansen, Camden; Jiang, Lixia; Jiang, Peng; Johnson, Audra; Johnson, Rory; Jungreis, Irwin; Kadaba, Madhura; Kasowski, Maya; Kasparian, Mary; Kato, Momoe; Kaul, Rajinder; Kawli, Trupti; Kay, Michael; Keen, Judith C.; Keles, Sunduz; Keller, Cheryl A.; Kelley, David; Kellis, Manolis; Kheradpour, Pouya; Kim, Daniel Sunwook; Kirilusha, Anthony; Klein, Robert J.; Knoechel, Birgit; Kuan, Samantha; Kulik, Michael J.; Kumar, Sushant; Kundaje, Anshul; Kutyavin, Tanya; Lagarde, Julien; Lajoie, Bryan R.; Lambert, Nicole J.; Lazar, John; Lee, Ah Young; Lee, Donghoon; Lee, Elizabeth; Lee, Jin Wook; Lee, Kristen; Leslie, Christina S.; Levy, Shawn; Li, Bin; Li, Hairi; Li, Nan; Li, Shantao; Li, Xiangrui; Li, Yang I.; Li, Ying; Li, Yining; Li, Yue; Lian, Jin; Libbrecht, Maxwell W.; Lin, Shin; Lin, Yiing; Liu, Dianbo; Liu, Jason; Liu, Peng; Liu, Tingting; Liu, X. Shirley; Liu, Yan; Liu, Yaping; Long, Maria; Lou, Shaoke; Loveland, Jane; Lu, Aiping; Lu, Yuheng; Lécuyer, Eric; Ma, Lijia; Mackiewicz, Mark; Mannion, Brandon J.; Mannstadt, Michael; Manthravadi, Deepa; Marinov, Georgi K.; Martin, Fergal J.; Mattei, Eugenio; McCue, Kenneth; McEown, Megan; McVicker, Graham; Meadows, Sarah K.; Meissner, Alex; Mendenhall, Eric M.; Messer, Christopher L.; Meuleman, Wouter; Meyer, Clifford; Miller, Steve; Milton, Matthew G.; Mishra, Tejaswini; Moore, Dianna E.; Moore, Helen M.; Moore, Jill E.; Moore, Samuel H.; Moran, Jennifer; Mortazavi, Ali; Mudge, Jonathan M.; Munshi, Nikhil; Murad, Rabi; Myers, Richard M.; Nandakumar, Vivek; Nandi, Preetha; Narasimha, Anil M.; Narayanan, Aditi K.; Naughton, Hannah; Navarro, Fabio C. P.; Navas, Patrick; Nazarovs, Jurijs; Nelson, Jemma; Neph, Shane; Neri, Fidencio Jun; Nery, Joseph R.; Nesmith, Amy R.; Newberry, J. Scott; Newberry, Kimberly M.; Ngo, Vu; Nguyen, Rosy; Nguyen, Thai B.; Nguyen, Tung; Nishida, Andrew; Noble, William S.; Novak, Catherine S.; Novoa, Eva Maria; Nuñez, Briana; O’Donnell, Charles W.; Olson, Sara; Onate, Kathrina C.; Otterman, Ericka; Ozadam, Hakan; Pagan, Michael; Palden, Tsultrim; Pan, Xinghua; Park, Yongjin; Partridge, E. Christopher; Paten, Benedict; Pauli-Behn, Florencia; Pazin, Michael J.; Pei, Baikang; Pennacchio, Len A.; Perez, Alexander R.; Perry, Emily H.; Pervouchine, Dmitri D.; Phalke, Nishigandha N.; Pham, Quan; Phanstiel, Doug H.; Plajzer-Frick, Ingrid; Pratt, Gabriel A.; Pratt, Henry E.; Preissl, Sebastian; Pritchard, Jonathan K.; Pritykin, Yuri; Purcaro, Michael J.; Qin, Qian; Quinones-Valdez, Giovanni; Rabano, Ines; Radovani, Ernest; Raj, Anil; Rajagopal, Nisha; Ram, Oren; Ramirez, Lucia; Ramirez, Ricardo N.; Rausch, Dylan; Raychaudhuri, Soumya; Raymond, Joseph; Razavi, Rozita; Reddy, Timothy E.; Reimonn, Thomas M.; Ren, Bing; Reymond, Alexandre; Reynolds, Alex; Rhie, Suhn K.; Rinn, John; Rivera, Miguel; Rivera-Mulia, Juan Carlos; Roberts, Brian S.; Rodriguez, Jose Manuel; Rozowsky, Joel; Ryan, Russell; Rynes, Eric; Salins, Denis N.; Sandstrom, Richard; Sasaki, Takayo; Sathe, Shashank; Savic, Daniel; Scavelli, Alexandra; Scheiman, Jonathan; Schlaffner, Christoph; Schloss, Jeffery A.; Schmitges, Frank W.; See, Lei Hoon; Sethi, Anurag; Setty, Manu; Shafer, Anthony; Shan, Shuo; Sharon, Eilon; Shen, Quan; Shen, Yin; Sherwood, Richard I.; Shi, Minyi; Shin, Sunyoung; Shoresh, Noam; Siebenthall, Kyle; Sisu, Cristina; Slifer, Teri; Sloan, Cricket A.; Smith, Anna; Snetkova, Valentina; Snyder, Michael P.; Spacek, Damek V.; Srinivasan, Sharanya; Srivas, Rohith; Stamatoyannopoulos, George; Stamatoyannopoulos, John A.; Stanton, Rebecca; Steffan, Dave; Stehling-Sun, Sandra; Strattan, J. Seth; Su, Amanda; Sundararaman, Balaji; Suner, Marie-Marthe; Syed, Tahin; Szynkarek, Matt; Tanaka, Forrest Y.; Tenen, Danielle; Teng, Mingxiang; Thomas, Jeffrey A.; Toffey, Dave; Tress, Michael L.; Trout, Diane E.; Trynka, Gosia; Tsuji, Junko; Upchurch, Sean A.; Ursu, Oana; Uszczynska-Ratajczak, Barbara; Uziel, Mia C.; Valencia, Alfonso; Biber, Benjamin Van; van der Velde, Arjan G.; Van Nostrand, Eric L.; Vaydylevich, Yekaterina; Vazquez, Jesus; Victorsen, Alec; Vielmetter, Jost; Vierstra, Jeff; Visel, Axel; Vlasova, Anna; Vockley, Christopher M.; Volpi, Simona; Vong, Shinny; Wang, Hao; Wang, Mengchi; Wang, Qin; Wang, Ruth; Wang, Tao; Wang, Wei; Wang, Xiaofeng; Wang, Yanli; Watson, Nathaniel K.; Wei, Xintao; Wei, Zhijie; Weisser, Hendrik; Weissman, Sherman M.; Welch, Rene; Welikson, Robert E.; Weng, Zhiping; Westra, Harm-Jan; Whitaker, John W.; White, Collin; White, Kevin P.; Wildberg, Andre; Williams, Brian A.; Wine, David; Witt, Heather N.; Wold, Barbara; Wolf, Maxim; Wright, James; Xiao, Rui; Xiao, Xinshu; Xu, Jie; Xu, Jinrui; Yan, Koon-Kiu; Yan, Yongqi; Yang, Hongbo; Yang, Xinqiong; Yang, Yi-Wen; Yardımcı, Galip Gürkan; Yee, Brian A.; Yeo, Gene W.; Young, Taylor; Yu, Tianxiong; Yue, Feng; Zaleski, Chris; Zang, Chongzhi; Zeng, Haoyang; Zeng, Weihua; Zerbino, Daniel R.; Zhai, Jie; Zhan, Lijun; Zhan, Ye; Zhang, Bo; Zhang, Jialing; Zhang, Jing; Zhang, Kai; Zhang, Lijun; Zhang, Peng; Zhang, Qi; Zhang, Xiao-Ou; Zhang, Yanxiao; Zhang, Zhizhuo; Zhao, Yuan; Zheng, Ye; Zhong, Guoqing; Zhou, Xiao-Qiao; Zhu, Yun; Zimmerman, Jared; Moore, Jill E.; Purcaro, Michael J.; Pratt, Henry E.; Epstein, Charles B.; Shoresh, Noam; Adrian, Jessika; Kawli, Trupti; Davis, Carrie A.; Dobin, Alexander; Kaul, Rajinder; Halow, Jessica; Van Nostrand, Eric L.; Freese, Peter; Gorkin, David U.; Shen, Yin; He, Yupeng; Mackiewicz, Mark; Pauli-Behn, Florencia; Williams, Brian A.; Mortazavi, Ali; Keller, Cheryl A.; Zhang, Xiao-Ou; Elhajjajy, Shaimae I.; Huey, Jack; Dickel, Diane E.; Snetkova, Valentina; Wei, Xintao; Wang, Xiaofeng; Rivera-Mulia, Juan Carlos; Rozowsky, Joel; Zhang, Jing; Chhetri, Surya B.; Zhang, Jialing; Victorsen, Alec; White, Kevin P.; Visel, Axel; Yeo, Gene W.; Burge, Christopher B.; Lécuyer, Eric; Gilbert, David M.; Dekker, Job; Rinn, John; Mendenhall, Eric M.; Ecker, Joseph R.; Kellis, Manolis; Klein, Robert J.; Noble, William S.; Kundaje, Anshul; Guigó, Roderic; Farnham, Peggy J.; Cherry, J. Michael; Myers, Richard M.; Ren, Bing; Graveley, Brenton R.; Gerstein, Mark B.; Pennacchio, Len A.; Snyder, Michael P.; Bernstein, Bradley E.; Wold, Barbara; Hardison, Ross C.; Gingeras, Thomas R.; Stamatoyannopoulos, John A.; Weng, Zhiping; ","journal":"Nature","doi":"10.1038/s41586-020-2493-4","created_at":"2022-06-17T17:05:21.340Z","updated_at":"2022-06-17T17:05:21.340Z"},{"id":3445,"pubmed_id":null,"title":"Perspectives on ENCODE","year":2020,"url":"http://dx.doi.org/10.1038/s41586-020-2449-8","authors":"undefined, undefined; Abascal, Federico; Acosta, Reyes; Addleman, Nicholas J.; Adrian, Jessika; Afzal, Veena; Aken, Bronwen; Ai, Rizi; Akiyama, Jennifer A.; Jammal, Omar Al; Amrhein, Henry; Anderson, Stacie M.; Andrews, Gregory R.; Antoshechkin, Igor; Ardlie, Kristin G.; Armstrong, Joel; Astley, Matthew; Banerjee, Budhaditya; Barkal, Amira A.; Barnes, If H. A.; Barozzi, Iros; Barrell, Daniel; Barson, Gemma; Bates, Daniel; Baymuradov, Ulugbek K.; Bazile, Cassandra; Beer, Michael A.; Beik, Samantha; Bender, M. A.; Bennett, Ruth; Bouvrette, Louis Philip Benoit; Bernstein, Bradley E.; Berry, Andrew; Bhaskar, Anand; Bignell, Alexandra; Blue, Steven M.; Bodine, David M.; Boix, Carles; Boley, Nathan; Borrman, Tyler; Borsari, Beatrice; Boyle, Alan P.; Brandsmeier, Laurel A.; Breschi, Alessandra; Bresnick, Emery H.; Brooks, Jason A.; Buckley, Michael; Burge, Christopher B.; Byron, Rachel; Cahill, Eileen; Cai, Lingling; Cao, Lulu; Carty, Mark; Castanon, Rosa G.; Castillo, Andres; Chaib, Hassan; Chan, Esther T.; Chee, Daniel R.; Chee, Sora; Chen, Hao; Chen, Huaming; Chen, Jia-Yu; Chen, Songjie; Cherry, J. Michael; Chhetri, Surya B.; Choudhary, Jyoti S.; Chrast, Jacqueline; Chung, Dongjun; Clarke, Declan; Cody, Neal A. L.; Coppola, Candice J.; Coursen, Julie; D’Ippolito, Anthony M.; Dalton, Stephen; Danyko, Cassidy; Davidson, Claire; Davila-Velderrain, Jose; Davis, Carrie A.; Dekker, Job; Deran, Alden; DeSalvo, Gilberto; Despacio-Reyes, Gloria; Dewey, Colin N.; Dickel, Diane E.; Diegel, Morgan; Diekhans, Mark; Dileep, Vishnu; Ding, Bo; Djebali, Sarah; Dobin, Alexander; Dominguez, Daniel; Donaldson, Sarah; Drenkow, Jorg; Dreszer, Timothy R.; Drier, Yotam; Duff, Michael O.; Dunn, Douglass; Eastman, Catharine; Ecker, Joseph R.; Edwards, Matthew D.; El-Ali, Nicole; Elhajjajy, Shaimae I.; Elkins, Keri; Emili, Andrew; Epstein, Charles B.; Evans, Rachel C.; Ezkurdia, Iakes; Fan, Kaili; Farnham, Peggy J.; Farrell, Nina; Feingold, Elise A.; Ferreira, Anne-Maud; Fisher-Aylor, Katherine; Fitzgerald, Stephen; Flicek, Paul; Foo, Chuan Sheng; Fortier, Kevin; Frankish, Adam; Freese, Peter; Fu, Shaliu; Fu, Xiang-Dong; Fu, Yu; Fukuda-Yuzawa, Yoko; Fulciniti, Mariateresa; Funnell, Alister P. W.; Gabdank, Idan; Galeev, Timur; Gao, Mingshi; Giron, Carlos Garcia; Garvin, Tyler H.; Gelboin-Burkhart, Chelsea Anne; Georgolopoulos, Grigorios; Gerstein, Mark B.; Giardine, Belinda M.; Gifford, David K.; Gilbert, David M.; Gilchrist, Daniel A.; Gillespie, Shawn; Gingeras, Thomas R.; Gong, Peng; Gonzalez, Alvaro; Gonzalez, Jose M.; Good, Peter; Goren, Alon; Gorkin, David U.; Graveley, Brenton R.; Gray, Michael; Greenblatt, Jack F.; Griffiths, Ed; Groudine, Mark T.; Grubert, Fabian; Gu, Mengting; Guigó, Roderic; Guo, Hongbo; Guo, Yu; Guo, Yuchun; Gursoy, Gamze; Gutierrez-Arcelus, Maria; Halow, Jessica; Hardison, Ross C.; Hardy, Matthew; Hariharan, Manoj; Harmanci, Arif; Harrington, Anne; Harrow, Jennifer L.; Hashimoto, Tatsunori B.; Hasz, Richard D.; Hatan, Meital; Haugen, Eric; Hayes, James E.; He, Peng; He, Yupeng; Heidari, Nastaran; Hendrickson, David; Heuston, Elisabeth F.; Hilton, Jason A.; Hitz, Benjamin C.; Hochman, Abigail; Holgren, Cory; Hou, Lei; Hou, Shuyu; Hsiao, Yun-Hua E.; Hsu, Shanna; Huang, Hui; Hubbard, Tim J.; Huey, Jack; Hughes, Timothy R.; Hunt, Toby; Ibarrientos, Sean; Issner, Robbyn; Iwata, Mineo; Izuogu, Osagie; Jaakkola, Tommi; Jameel, Nader; Jansen, Camden; Jiang, Lixia; Jiang, Peng; Johnson, Audra; Johnson, Rory; Jungreis, Irwin; Kadaba, Madhura; Kasowski, Maya; Kasparian, Mary; Kato, Momoe; Kaul, Rajinder; Kawli, Trupti; Kay, Michael; Keen, Judith C.; Keles, Sunduz; Keller, Cheryl A.; Kelley, David; Kellis, Manolis; Kheradpour, Pouya; Kim, Daniel Sunwook; Kirilusha, Anthony; Klein, Robert J.; Knoechel, Birgit; Kuan, Samantha; Kulik, Michael J.; Kumar, Sushant; Kundaje, Anshul; Kutyavin, Tanya; Lagarde, Julien; Lajoie, Bryan R.; Lambert, Nicole J.; Lazar, John; Lee, Ah Young; Lee, Donghoon; Lee, Elizabeth; Lee, Jin Wook; Lee, Kristen; Leslie, Christina S.; Levy, Shawn; Li, Bin; Li, Hairi; Li, Nan; Li, Shantao; Li, Xiangrui; Li, Yang I.; Li, Ying; Li, Yining; Li, Yue; Lian, Jin; Libbrecht, Maxwell W.; Lin, Shin; Lin, Yiing; Liu, Dianbo; Liu, Jason; Liu, Peng; Liu, Tingting; Liu, X. Shirley; Liu, Yan; Liu, Yaping; Long, Maria; Lou, Shaoke; Loveland, Jane; Lu, Aiping; Lu, Yuheng; Lécuyer, Eric; Ma, Lijia; Mackiewicz, Mark; Mannion, Brandon J.; Mannstadt, Michael; Manthravadi, Deepa; Marinov, Georgi K.; Martin, Fergal J.; Mattei, Eugenio; McCue, Kenneth; McEown, Megan; McVicker, Graham; Meadows, Sarah K.; Meissner, Alex; Mendenhall, Eric M.; Messer, Christopher L.; Meuleman, Wouter; Meyer, Clifford; Miller, Steve; Milton, Matthew G.; Mishra, Tejaswini; Moore, Dianna E.; Moore, Helen M.; Moore, Jill E.; Moore, Samuel H.; Moran, Jennifer; Mortazavi, Ali; Mudge, Jonathan M.; Munshi, Nikhil; Murad, Rabi; Myers, Richard M.; Nandakumar, Vivek; Nandi, Preetha; Narasimha, Anil M.; Narayanan, Aditi K.; Naughton, Hannah; Navarro, Fabio C. P.; Navas, Patrick; Nazarovs, Jurijs; Nelson, Jemma; Neph, Shane; Neri, Fidencio Jun; Nery, Joseph R.; Nesmith, Amy R.; Newberry, J. Scott; Newberry, Kimberly M.; Ngo, Vu; Nguyen, Rosy; Nguyen, Thai B.; Nguyen, Tung; Nishida, Andrew; Noble, William S.; Novak, Catherine S.; Novoa, Eva Maria; Nuñez, Briana; O’Donnell, Charles W.; Olson, Sara; Onate, Kathrina C.; Otterman, Ericka; Ozadam, Hakan; Pagan, Michael; Palden, Tsultrim; Pan, Xinghua; Park, Yongjin; Partridge, E. Christopher; Paten, Benedict; Pauli-Behn, Florencia; Pazin, Michael J.; Pei, Baikang; Pennacchio, Len A.; Perez, Alexander R.; Perry, Emily H.; Pervouchine, Dmitri D.; Phalke, Nishigandha N.; Pham, Quan; Phanstiel, Doug H.; Plajzer-Frick, Ingrid; Pratt, Gabriel A.; Pratt, Henry E.; Preissl, Sebastian; Pritchard, Jonathan K.; Pritykin, Yuri; Purcaro, Michael J.; Qin, Qian; Quinones-Valdez, Giovanni; Rabano, Ines; Radovani, Ernest; Raj, Anil; Rajagopal, Nisha; Ram, Oren; Ramirez, Lucia; Ramirez, Ricardo N.; Rausch, Dylan; Raychaudhuri, Soumya; Raymond, Joseph; Razavi, Rozita; Reddy, Timothy E.; Reimonn, Thomas M.; Ren, Bing; Reymond, Alexandre; Reynolds, Alex; Rhie, Suhn K.; Rinn, John; Rivera, Miguel; Rivera-Mulia, Juan Carlos; Roberts, Brian; Rodriguez, Jose Manuel; Rozowsky, Joel; Ryan, Russell; Rynes, Eric; Salins, Denis N.; Sandstrom, Richard; Sasaki, Takayo; Sathe, Shashank; Savic, Daniel; Scavelli, Alexandra; Scheiman, Jonathan; Schlaffner, Christoph; Schloss, Jeffery A.; Schmitges, Frank W.; See, Lei Hoon; Sethi, Anurag; Setty, Manu; Shafer, Anthony; Shan, Shuo; Sharon, Eilon; Shen, Quan; Shen, Yin; Sherwood, Richard I.; Shi, Minyi; Shin, Sunyoung; Shoresh, Noam; Siebenthall, Kyle; Sisu, Cristina; Slifer, Teri; Sloan, Cricket A.; Smith, Anna; Snetkova, Valentina; Snyder, Michael P.; Spacek, Damek V.; Srinivasan, Sharanya; Srivas, Rohith; Stamatoyannopoulos, George; Stamatoyannopoulos, John A.; Stanton, Rebecca; Steffan, Dave; Stehling-Sun, Sandra; Strattan, J. Seth; Su, Amanda; Sundararaman, Balaji; Suner, Marie-Marthe; Syed, Tahin; Szynkarek, Matt; Tanaka, Forrest Y.; Tenen, Danielle; Teng, Mingxiang; Thomas, Jeffrey A.; Toffey, Dave; Tress, Michael L.; Trout, Diane E.; Trynka, Gosia; Tsuji, Junko; Upchurch, Sean A.; Ursu, Oana; Uszczynska-Ratajczak, Barbara; Uziel, Mia C.; Valencia, Alfonso; Biber, Benjamin Van; van der Velde, Arjan G.; Van Nostrand, Eric L.; Vaydylevich, Yekaterina; Vazquez, Jesus; Victorsen, Alec; Vielmetter, Jost; Vierstra, Jeff; Visel, Axel; Vlasova, Anna; Vockley, Christopher M.; Volpi, Simona; Vong, Shinny; Wang, Hao; Wang, Mengchi; Wang, Qin; Wang, Ruth; Wang, Tao; Wang, Wei; Wang, Xiaofeng; Wang, Yanli; Watson, Nathaniel K.; Wei, Xintao; Wei, Zhijie; Weisser, Hendrik; Weissman, Sherman M.; Welch, Rene; Welikson, Robert E.; Weng, Zhiping; Westra, Harm-Jan; Whitaker, John W.; White, Collin; White, Kevin P.; Wildberg, Andre; Williams, Brian A.; Wine, David; Witt, Heather N.; Wold, Barbara; Wolf, Maxim; Wright, James; Xiao, Rui; Xiao, Xinshu; Xu, Jie; Xu, Jinrui; Yan, Koon-Kiu; Yan, Yongqi; Yang, Hongbo; Yang, Xinqiong; Yang, Yi-Wen; Yardımcı, Galip Gürkan; Yee, Brian A.; Yeo, Gene W.; Young, Taylor; Yu, Tianxiong; Yue, Feng; Zaleski, Chris; Zang, Chongzhi; Zeng, Haoyang; Zeng, Weihua; Zerbino, Daniel R.; Zhai, Jie; Zhan, Lijun; Zhan, Ye; Zhang, Bo; Zhang, Jialing; Zhang, Jing; Zhang, Kai; Zhang, Lijun; Zhang, Peng; Zhang, Qi; Zhang, Xiao-Ou; Zhang, Yanxiao; Zhang, Zhizhuo; Zhao, Yuan; Zheng, Ye; Zhong, Guoqing; Zhou, Xiao-Qiao; Zhu, Yun; Zimmerman, Jared; Snyder, Michael P.; Gingeras, Thomas R.; Moore, Jill E.; Weng, Zhiping; Gerstein, Mark B.; Ren, Bing; Hardison, Ross C.; Stamatoyannopoulos, John A.; Graveley, Brenton R.; Feingold, Elise A.; Pazin, Michael J.; Pagan, Michael; Gilchrist, Daniel A.; Hitz, Benjamin C.; Cherry, J. Michael; Bernstein, Bradley E.; Mendenhall, Eric M.; Zerbino, Daniel R.; Frankish, Adam; Flicek, Paul; Myers, Richard M.; ","journal":"Nature","doi":"10.1038/s41586-020-2449-8","created_at":"2022-06-17T17:05:49.635Z","updated_at":"2022-06-17T17:05:49.635Z"},{"id":3446,"pubmed_id":31713622,"title":"New developments on the Encyclopedia of DNA Elements (ENCODE) data portal.","year":2020,"url":"https://doi.org/10.1093/nar/gkz1062","authors":"Luo Y, Hitz BC, Gabdank I, Hilton JA, Kagda MS, Lam B, Myers Z, Sud P, Jou J, Lin K, Baymuradov UK, Graham K, Litton C, Miyasato SR, Strattan JS, Jolanki O, Lee JW, Tanaka FY, Adenekan P, O'Neill E, Cherry JM","journal":"Nucleic acids research","doi":"10.1093/nar/gkz1062","created_at":"2022-06-17T17:06:20.816Z","updated_at":"2022-06-17T17:06:20.816Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2707,"relation":"applies_to_content"},{"licence_name":"ENCODE Data has usage restrictions for 9 months after public availability","licence_id":279,"licence_url":"http://genome.ucsc.edu/ENCODE/","link_id":238,"relation":"undefined"}],"grants":[{"id":120,"fairsharing_record_id":1579,"organisation_id":1118,"relation":"maintains","created_at":"2021-09-30T09:24:19.154Z","updated_at":"2021-09-30T09:24:19.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9599,"fairsharing_record_id":1579,"organisation_id":712,"relation":"maintains","created_at":"2022-06-17T17:07:11.582Z","updated_at":"2022-06-17T17:07:11.582Z","grant_id":null,"is_lead":false,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8317,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:03.326Z","updated_at":"2021-09-30T09:32:03.383Z","grant_id":1448,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"5U41HG004568-04","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7972,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:30:10.135Z","updated_at":"2021-09-30T09:30:10.190Z","grant_id":582,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"3U41HG004568-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":121,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:19.192Z","updated_at":"2021-09-30T09:29:22.118Z","grant_id":216,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"3P41HG002371-10S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8188,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:24.172Z","updated_at":"2021-09-30T09:31:24.224Z","grant_id":1153,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"5P41HG002371-10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--42b68419f23be7265b059f3989450ec9a09c177d/encode-logo-small-2x.png?disposition=inline","exhaustive_licences":false}},{"id":"1580","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:22.594Z","metadata":{"doi":"10.25504/FAIRsharing.5q1k","name":"eQuilibrator - the biochemical thermodynamics calculator","status":"ready","contacts":[{"contact_name":"Avi Flamholz","contact_email":"aflamhol@caltech.edu","contact_orcid":"0000-0002-9278-5479"}],"homepage":"http://equilibrator.weizmann.ac.il","citations":[],"identifier":1580,"description":"Thermodynamics calculator for biochemical reactions. eQuilibrator is a simple web interface designed to enable easy thermodynamic analysis of biochemical systems. eQuilibrator enables free-text search for biochemical compounds and reactions and provides thermodynamic estimates for both in a variety of conditions.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://equilibrator.weizmann.ac.il/static/classic_rxns/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/g/equilibrator-users","type":"Forum"},{"url":"https://equilibrator.weizmann.ac.il/static/classic_rxns/updates.html","name":"Updates","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000035","bsg-d000035"],"name":"FAIRsharing record for: eQuilibrator - the biochemical thermodynamics calculator","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.5q1k","doi":"10.25504/FAIRsharing.5q1k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Thermodynamics calculator for biochemical reactions. eQuilibrator is a simple web interface designed to enable easy thermodynamic analysis of biochemical systems. eQuilibrator enables free-text search for biochemical compounds and reactions and provides thermodynamic estimates for both in a variety of conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Thermodynamics","Life Science"],"domains":["Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":55,"pubmed_id":18645197,"title":"Group contribution method for thermodynamic analysis of complex metabolic networks.","year":2008,"url":"http://doi.org/10.1529/biophysj.107.124784","authors":"Jankowski MD., Henry CS., Broadbelt LJ., Hatzimanikatis V.,","journal":"Biophys. J.","doi":"10.1529/biophysj.107.124784","created_at":"2021-09-30T08:22:26.290Z","updated_at":"2021-09-30T08:22:26.290Z"},{"id":56,"pubmed_id":16878778,"title":"Biochemical thermodynamics: applications of Mathematica.","year":2006,"url":"https://www.ncbi.nlm.nih.gov/pubmed/16878778","authors":"Alberty RA.,","journal":"Methods Biochem Anal","doi":null,"created_at":"2021-09-30T08:22:26.395Z","updated_at":"2021-09-30T08:22:26.395Z"},{"id":1866,"pubmed_id":860983,"title":"Energy conservation in chemotrophic anaerobic bacteria.","year":1977,"url":"https://www.ncbi.nlm.nih.gov/pubmed/860983","authors":"Thauer RK., Jungermann K., Decker K.,","journal":"Bacteriol Rev","doi":null,"created_at":"2021-09-30T08:25:49.672Z","updated_at":"2021-09-30T08:25:49.672Z"},{"id":1867,"pubmed_id":22645166,"title":"An integrated open framework for thermodynamics of reactions that combines accuracy and coverage.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts317","authors":"Noor E,Bar-Even A,Flamholz A,Lubling Y,Davidi D,Milo R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts317","created_at":"2021-09-30T08:25:49.947Z","updated_at":"2021-09-30T08:25:49.947Z"}],"licence_links":[],"grants":[{"id":122,"fairsharing_record_id":1580,"organisation_id":1769,"relation":"maintains","created_at":"2021-09-30T09:24:19.233Z","updated_at":"2021-09-30T09:24:19.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":1769,"name":"Massachusetts Institute of Technology (MIT), Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":123,"fairsharing_record_id":1580,"organisation_id":1799,"relation":"maintains","created_at":"2021-09-30T09:24:19.274Z","updated_at":"2021-09-30T09:24:19.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":1799,"name":"Mayo Clinic, Scottsdale, AZ, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1581","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:17.468Z","metadata":{"doi":"10.25504/FAIRsharing.2z0e8b","name":"ExoCarta","status":"ready","contacts":[{"contact_name":"Suresh Mathivanan","contact_email":"s.mathivanan@latrobe.edu.au","contact_orcid":"0000-0002-7290-5795"}],"homepage":"http://www.exocarta.org","citations":[],"identifier":1581,"description":"A database of exosomes, membrane vesicles of endocytic origin released by diverse cell types.","abbreviation":"ExoCarta","data_curation":{"type":"manual"},"support_links":[{"url":"https://en.wikipedia.org/wiki/ExoCarta","type":"Wikipedia"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://exocarta.org/data_submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000036","bsg-d000036"],"name":"FAIRsharing record for: ExoCarta","abbreviation":"ExoCarta","url":"https://fairsharing.org/10.25504/FAIRsharing.2z0e8b","doi":"10.25504/FAIRsharing.2z0e8b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database of exosomes, membrane vesicles of endocytic origin released by diverse cell types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Lipid","Extracellular exosome","Protein","Messenger RNA","Micro RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":54,"pubmed_id":19810033,"title":"ExoCarta: A compendium of exosomal proteins and RNA.","year":2009,"url":"http://doi.org/10.1002/pmic.200900351","authors":"Mathivanan S., Simpson RJ.,","journal":"Proteomics","doi":"10.1002/pmic.200900351","created_at":"2021-09-30T08:22:26.189Z","updated_at":"2021-09-30T08:22:26.189Z"}],"licence_links":[],"grants":[{"id":124,"fairsharing_record_id":1581,"organisation_id":1773,"relation":"maintains","created_at":"2021-09-30T09:24:19.313Z","updated_at":"2021-09-30T09:24:19.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1773,"name":"Mathivanan Lab, La Trobe Institute for Molecular Science 1, Victoria, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1583","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:18.444Z","metadata":{"doi":"10.25504/FAIRsharing.sbnhkq","name":"DRSC/TRiP Functional Genomics Resources \u0026 DRSC-BTRR","status":"ready","contacts":[{"contact_name":"Stephanie E Mohr","contact_email":"stephanie_mohr@hms.harvard.edu"}],"homepage":"https://fgr.hms.harvard.edu/","citations":[],"identifier":1583,"description":"DRSC Functional Genomics Resources (DRSC-FGR) began as the Drosophila RNAi Screening Center (DRSC), founded by Prof. Norbert Perrimon in 2003, and the Transgenic RNAi Project (TRiP), founded by Prof. Perrimon in 2008. DRSC-FGR has been previously known as flyRNAi.org. It has since grown into a functional genomics platform meeting the needs of the Drosophila and broader community.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://hms.az1.qualtrics.com/jfe/form/SV_cApK7Mvnw54HeyV","type":"Contact form"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"http://www.flyrnai.org/compleat/","name":"COMPLEAT"},{"url":"https://www.flyrnai.org/cgi-bin/DRSC_orthologs.pl","name":"DIOPT Ortholog Finder"},{"url":"http://www.flyrnai.org/diopt-dist","name":"DIOPT-DIST"},{"url":"http://fgr.hms.harvard.edu/crispr-efficiency","name":"CRISPR Efficiency Prediction"},{"url":"http://fgr.hms.harvard.edu/flyprimerbank","name":"FlyPrimerBank"},{"url":"http://www.flyrnai.org/hrma","name":"HRMA"},{"url":"http://fgr.hms.harvard.edu/minotar","name":"MinoTar"},{"url":"http://www.flyrnai.org/gess/","name":"GESS"},{"url":"http://fgr.hms.harvard.edu/rsvp-addfeedback","name":"RSVP-AddFeedback"},{"url":"http://fgr.hms.harvard.edu/utility-tools","name":"Utility Tools"},{"url":"https://www.gene2function.org/search/","name":"gene2function"},{"url":"https://www.flyrnai.org/tools/biolitmine/web/","name":"BioLitMine"},{"url":"https://fgrtools.hms.harvard.edu/MIST/","name":"MIST"},{"url":"https://www.flyrnai.org/tools/snp_crispr/web/","name":"SNP CRISPR"},{"url":"https://www.flyrnai.org/up-torr/","name":"UP-TORR"},{"url":"https://www.flyrnai.org/cgi-bin/RNAi_find_primers.pl","name":"SnapDragon"},{"url":"https://fgrtools.hms.harvard.edu/InsulinNetwork/","name":"InsulinNet"},{"url":"https://www.flyrnai.org/tools/pathon/web/","name":"PathON"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000038","bsg-d000038"],"name":"FAIRsharing record for: DRSC/TRiP Functional Genomics Resources \u0026 DRSC-BTRR","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.sbnhkq","doi":"10.25504/FAIRsharing.sbnhkq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DRSC Functional Genomics Resources (DRSC-FGR) began as the Drosophila RNAi Screening Center (DRSC), founded by Prof. Norbert Perrimon in 2003, and the Transgenic RNAi Project (TRiP), founded by Prof. Perrimon in 2008. DRSC-FGR has been previously known as flyRNAi.org. It has since grown into a functional genomics platform meeting the needs of the Drosophila and broader community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Cell line","RNAi screening","RNA interference"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1434,"pubmed_id":21880147,"title":"An integrative approach to ortholog prediction for disease-focused and other functional studies.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-357","authors":"Hu Y., Flockhart I., Vinayagam A., Bergwitz C., Berger B., Perrimon N., Mohr SE.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-357","created_at":"2021-09-30T08:25:00.332Z","updated_at":"2021-09-30T08:25:00.332Z"},{"id":1435,"pubmed_id":21251254,"title":"False negative rates in Drosophila cell-based RNAi screens: a case study.","year":2011,"url":"http://doi.org/10.1186/1471-2164-12-50","authors":"Booker M., Samsonova AA., Kwon Y., Flockhart I., Mohr SE., Perrimon N.,","journal":"BMC Genomics","doi":"10.1186/1471-2164-12-50","created_at":"2021-09-30T08:25:00.432Z","updated_at":"2021-09-30T08:25:00.432Z"},{"id":1436,"pubmed_id":20367032,"title":"Genomic screening with RNAi: results and challenges.","year":2010,"url":"http://doi.org/10.1146/annurev-biochem-060408-092949","authors":"Mohr S., Bakal C., Perrimon N.,","journal":"Annu. Rev. Biochem.","doi":"10.1146/annurev-biochem-060408-092949","created_at":"2021-09-30T08:25:00.532Z","updated_at":"2021-09-30T08:25:00.532Z"},{"id":1437,"pubmed_id":19720858,"title":"Cross-species RNAi rescue platform in Drosophila melanogaster.","year":2009,"url":"http://doi.org/10.1534/genetics.109.106567","authors":"Kondo S., Booker M., Perrimon N.,","journal":"Genetics","doi":"10.1534/genetics.109.106567","created_at":"2021-09-30T08:25:00.634Z","updated_at":"2021-09-30T08:25:00.634Z"},{"id":1438,"pubmed_id":19487563,"title":"A Drosophila resource of transgenic RNAi lines for neurogenetics.","year":2009,"url":"http://doi.org/10.1534/genetics.109.103630","authors":"Ni JQ., Liu LP., Binari R., Hardy R., Shim HS., Cavallaro A., Booker M., Pfeiffer BD., Markstein M., Wang H., Villalta C., Laverty TR., Perkins LA., Perrimon N.,","journal":"Genetics","doi":"10.1534/genetics.109.103630","created_at":"2021-09-30T08:25:00.744Z","updated_at":"2021-09-30T08:25:00.744Z"},{"id":1439,"pubmed_id":18084299,"title":"Vector and parameters for targeted transgenic RNA interference in Drosophila melanogaster.","year":2007,"url":"http://doi.org/10.1038/nmeth1146","authors":"Ni JQ., Markstein M., Binari R., Pfeiffer B., Liu LP., Villalta C., Booker M., Perkins L., Perrimon N.,","journal":"Nat. Methods","doi":"10.1038/nmeth1146","created_at":"2021-09-30T08:25:00.851Z","updated_at":"2021-09-30T08:25:00.851Z"},{"id":1440,"pubmed_id":17853882,"title":"Design and implementation of high-throughput RNAi screens in cultured Drosophila cells.","year":2007,"url":"http://doi.org/10.1038/nprot.2007.250","authors":"Ramadan N., Flockhart I., Booker M., Perrimon N., Mathey-Prevot B.,","journal":"Nat Protoc","doi":"10.1038/nprot.2007.250","created_at":"2021-09-30T08:25:00.962Z","updated_at":"2021-09-30T08:25:00.962Z"},{"id":1441,"pubmed_id":16964256,"title":"Evidence of off-target effects associated with long dsRNAs in Drosophila melanogaster cell-based assays.","year":2006,"url":"http://doi.org/10.1038/nmeth935","authors":"Kulkarni MM., Booker M., Silver SJ., Friedman A., Hong P., Perrimon N., Mathey-Prevot B.,","journal":"Nat. Methods","doi":"10.1038/nmeth935","created_at":"2021-09-30T08:25:01.069Z","updated_at":"2021-09-30T08:25:01.069Z"},{"id":1442,"pubmed_id":16381918,"title":"FlyRNAi: the Drosophila RNAi screening center database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj114","authors":"Flockhart I., Booker M., Kiger A., Boutros M., Armknecht S., Ramadan N., Richardson K., Xu A., Perrimon N., Mathey-Prevot B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj114","created_at":"2021-09-30T08:25:01.185Z","updated_at":"2021-09-30T08:25:01.185Z"}],"licence_links":[],"grants":[{"id":130,"fairsharing_record_id":1583,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:19.534Z","updated_at":"2021-09-30T09:24:19.534Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":128,"fairsharing_record_id":1583,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:24:19.431Z","updated_at":"2021-09-30T09:24:19.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":131,"fairsharing_record_id":1583,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:19.627Z","updated_at":"2021-09-30T09:24:19.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":129,"fairsharing_record_id":1583,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:19.463Z","updated_at":"2021-09-30T09:30:08.512Z","grant_id":569,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01 GM067761","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1584","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:04.081Z","metadata":{"doi":"10.25504/FAIRsharing.qbwrtn","name":"Networks of Functional Coupling of proteins","status":"ready","contacts":[{"contact_name":"Erik Sonnhammer","contact_email":"Erik.Sonnhammer@sbc.su.se"}],"homepage":"http://funcoup.sbc.su.se/","identifier":1584,"description":"FunCoup is a framework to infer genome-wide functional couplings in 11 model organisms. Functional coupling, or functional association, is an unspecific form of association that encompasses direct physical interaction but also more general types of direct or indirect interaction like regulatory interaction or participation the same process or pathway.","abbreviation":"FunCoup","data_curation":{"type":"manual/automated"},"support_links":[{"url":"christoph.ogris@scilifelab.se","type":"Support email"},{"url":"http://funcoup.sbc.su.se/help/#FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://funcoup.sbc.su.se/help/","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://jsquid.sbc.su.se/","name":"Java Applet jSquid"},{"url":"http://funcoup.sbc.su.se/maxlink/","name":"MaxLink"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000039","bsg-d000039"],"name":"FAIRsharing record for: Networks of Functional Coupling of proteins","abbreviation":"FunCoup","url":"https://fairsharing.org/10.25504/FAIRsharing.qbwrtn","doi":"10.25504/FAIRsharing.qbwrtn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FunCoup is a framework to infer genome-wide functional couplings in 11 model organisms. Functional coupling, or functional association, is an unspecific form of association that encompasses direct physical interaction but also more general types of direct or indirect interaction like regulatory interaction or participation the same process or pathway.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Protein interaction","Biological regulation","Molecular interaction","Genetic interaction","Functional association","Protein","Genome"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Canis familiaris","Ciona intestinalis","Danio rerio","Drosophila melanogaster","Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":["Physical interaction"],"countries":["Sweden"],"publications":[{"id":69,"pubmed_id":19246318,"title":"Global networks of functional coupling in eukaryotes from comprehensive data integration.","year":2009,"url":"http://doi.org/10.1101/gr.087528.108","authors":"Alexeyenko A., Sonnhammer EL.,","journal":"Genome Res.","doi":"10.1101/gr.087528.108","created_at":"2021-09-30T08:22:27.662Z","updated_at":"2021-09-30T08:22:27.662Z"},{"id":586,"pubmed_id":22110034,"title":"Comparative interactomics with Funcoup 2.0.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1062","authors":"Alexeyenko A., Schmitt T., Tjärnberg A., Guala D., Frings O., Sonnhammer EL.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1062","created_at":"2021-09-30T08:23:24.210Z","updated_at":"2021-09-30T08:23:24.210Z"},{"id":1883,"pubmed_id":24185702,"title":"FunCoup 3.0: database of genome-wide functional coupling networks","year":1985,"url":"http://doi.org/10.1002/1097-0142(19850101)55:1\u003c214::aid-cncr2820550135\u003e3.0.co;2-h","authors":"Schmitt T., Ogris C., Sonnhammer EL.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt984","created_at":"2021-09-30T08:25:51.836Z","updated_at":"2021-09-30T08:25:51.836Z"}],"licence_links":[],"grants":[{"id":133,"fairsharing_record_id":1584,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:24:19.710Z","updated_at":"2021-09-30T09:24:19.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":132,"fairsharing_record_id":1584,"organisation_id":2644,"relation":"maintains","created_at":"2021-09-30T09:24:19.663Z","updated_at":"2021-09-30T09:24:19.663Z","grant_id":null,"is_lead":false,"saved_state":{"id":2644,"name":"Stockholm Bioinformatics Center, Sweden","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1592","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:22.349Z","metadata":{"doi":"10.25504/FAIRsharing.2by003","name":"Human Gene and Protein Database","status":"ready","contacts":[{"contact_name":"HGDP Helpmail","contact_email":"HGPD@m.aist.go.jp"}],"homepage":"http://hgpd.lifesciencedb.jp/cgi/","citations":[],"identifier":1592,"description":"Human Gene and Protein Database (HGPD) presents SDS-PAGE patterns and other informations of human genes and proteins.","abbreviation":"HGPD","data_curation":{"type":"manual"},"support_links":[{"url":"http://hgpd.lifesciencedb.jp/sys_info/q_a.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://hgpd.lifesciencedb.jp/sys_info/help.html","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://hgpd.lifesciencedb.jp/cgi/pg_ad_srch.cgi","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000047","bsg-d000047"],"name":"FAIRsharing record for: Human Gene and Protein Database","abbreviation":"HGPD","url":"https://fairsharing.org/10.25504/FAIRsharing.2by003","doi":"10.25504/FAIRsharing.2by003","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Human Gene and Protein Database (HGPD) presents SDS-PAGE patterns and other informations of human genes and proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Gene Ontology enrichment","Gene model annotation","Image","Protein Analysis","Phenotype","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":70,"pubmed_id":19054851,"title":"Human protein factory for converting the transcriptome into an in vitro-expressed proteome,.","year":2008,"url":"http://doi.org/10.1038/nmeth.1273","authors":"Goshima N., Kawamura Y., Fukumoto A., Miura A., Honma R., Satoh R., Wakamatsu A., Yamamoto J., Kimura K., Nishikawa T., Andoh T., Iida Y., Ishikawa K., Ito E., Kagawa N., Kaminaga C., Kanehori K., Kawakami B., Kenmochi K., Kimura R., Kobayashi M., Kuroita T., Kuwayama H., Maruyama Y., Matsuo K., Minami K., Mitsubori M., Mori M., Morishita R., Murase A., Nishikawa A., Nishikawa S., Okamoto T., Sakagami N., Sakamoto Y., Sasaki Y., Seki T., Sono S., Sugiyama A., Sumiya T., Takayama T., Takayama Y., Takeda H., Togashi T., Yahata K., Yamada H., Yanagisawa Y., Endo Y., Imamoto F., Kisu Y., Tanaka S., Isogai T., Imai J., Watanabe S., Nomura N.,","journal":"Nat. Methods","doi":"doi:10.1038/nmeth.1273","created_at":"2021-09-30T08:22:27.755Z","updated_at":"2021-09-30T08:22:27.755Z"},{"id":71,"pubmed_id":19073703,"title":"Human Gene and Protein Database (HGPD): a novel database presenting a large quantity of experiment-based results in human proteomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn872","authors":"Maruyama Y., Wakamatsu A., Kawamura Y., Kimura K., Yamamoto J., Nishikawa T., Kisu Y., Sugano S., Goshima N., Isogai T., Nomura N.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn872","created_at":"2021-09-30T08:22:27.856Z","updated_at":"2021-09-30T08:22:27.856Z"},{"id":1247,"pubmed_id":22140100,"title":"HGPD: Human Gene and Protein Database, 2012 update.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1188","authors":"Maruyama Y,Kawamura Y,Nishikawa T,Isogai T,Nomura N,Goshima N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1188","created_at":"2021-09-30T08:24:39.071Z","updated_at":"2021-09-30T11:29:04.001Z"}],"licence_links":[],"grants":[{"id":160,"fairsharing_record_id":1592,"organisation_id":2007,"relation":"maintains","created_at":"2021-09-30T09:24:20.796Z","updated_at":"2021-09-30T09:24:20.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":158,"fairsharing_record_id":1592,"organisation_id":1588,"relation":"funds","created_at":"2021-09-30T09:24:20.731Z","updated_at":"2021-09-30T09:24:20.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":1588,"name":"Japan Biological Informatics Consortium (JBIC), Tokyo, Japan","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":159,"fairsharing_record_id":1592,"organisation_id":266,"relation":"maintains","created_at":"2021-09-30T09:24:20.763Z","updated_at":"2021-09-30T09:24:20.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":266,"name":"Biomedical Informatics Laboratory, Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1593","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:25.821Z","metadata":{"doi":"10.25504/FAIRsharing.g56qnp","name":"Histone Infobase","status":"ready","contacts":[{"contact_name":"Sanjeev Galande","contact_email":"sanjeev@iiserpune.ac.in"}],"homepage":"http://www3.iiserpune.ac.in/~coee/histome/","citations":[],"identifier":1593,"description":"HIstome (Human histone database) is a freely available, specialist, electronic database dedicated to display information about human histone variants, sites of their post-translational modifications and about various histone modifying enzymes.","abbreviation":"HIstome","data_curation":{"url":"https://doi.org/10.1093/nar/gkr1125","type":"manual"},"support_links":[{"url":"https://en.wikipedia.org/wiki/HIstome","type":"Wikipedia"},{"url":"http://www3.iiserpune.ac.in/~coee/histome/how_to_use.php","name":"How to use HIstome","type":"Help documentation"},{"url":"histome@iiserpune.ac.in","type":"Support email"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010977","name":"re3data:r3d100010977","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006972","name":"SciCrunch:RRID:SCR_006972","portal":"SciCrunch"}],"data_access_condition":{"url":"http://www3.iiserpune.ac.in/~coee/histome/","type":"open","notes":"HIstome is freely available"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkr1125","type":"not applicable","notes":"Information within Histome is drawn from primary databases only."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000048","bsg-d000048"],"name":"FAIRsharing record for: Histone Infobase","abbreviation":"HIstome","url":"https://fairsharing.org/10.25504/FAIRsharing.g56qnp","doi":"10.25504/FAIRsharing.g56qnp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HIstome (Human histone database) is a freely available, specialist, electronic database dedicated to display information about human histone variants, sites of their post-translational modifications and about various histone modifying enzymes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenetics","Life Science"],"domains":["Citation","Gene name","Free text","Histone","Post-translational protein modification","Enzyme","Cross linking","Promoter","Amino acid sequence"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1084,"pubmed_id":22140112,"title":"HIstome--a relational knowledgebase of human histone proteins and histone modifying enzymes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1125","authors":"Khare SP,Habib F,Sharma R,Gadewal N,Gupta S,Galande S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1125","created_at":"2021-09-30T08:24:20.096Z","updated_at":"2021-09-30T11:28:58.084Z"}],"licence_links":[],"grants":[{"id":162,"fairsharing_record_id":1593,"organisation_id":1332,"relation":"funds","created_at":"2021-09-30T09:24:20.853Z","updated_at":"2021-09-30T09:24:20.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":1332,"name":"Indian Institute of Science Education and Research Pune, India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":161,"fairsharing_record_id":1593,"organisation_id":27,"relation":"maintains","created_at":"2021-09-30T09:24:20.829Z","updated_at":"2021-09-30T09:24:20.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":27,"name":"Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre (TMC), Navi Mumbai, India","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1594","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-20T14:08:52.465Z","metadata":{"doi":"10.25504/FAIRsharing.m90ne8","name":"Human Mitochondrial Database","status":"deprecated","contacts":[{"contact_name":"Marcella Attimonelli","contact_email":"marcella.attimonelli@uniba.it"}],"homepage":"http://www.hmtdb.uniba.it","citations":[{"doi":"10.1093/nar/gkw1066","pubmed_id":null,"publication_id":3992}],"identifier":1594,"description":"HmtDB is an open resource created to support population genetics and mitochondrial disease studies. The database hosts human mitochondrial genome sequences annotated with population and variability data, the latter being estimated through the application of the SiteVar/MitVarProt programs, based on site-specific nucleotide and aminoacid variability calculations. The annotations are manually curated thus adding value to the quality of the information provided to the end-user.","abbreviation":"HmtDB","data_curation":{"type":"manual/automated","notes":" computed prediction of haplogroup and site specific variability[SiteVar algorithm]"},"support_links":[{"url":"hmtdb.update@uniba.it","type":"Support email"},{"url":"https://github.com/mitoNGS/MToolBox","type":"Github"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"https://github.com/mitoNGS/MToolBox","name":"MToolBox"}],"deprecation_date":"2023-09-20","deprecation_reason":"The homepage for this resource no longer exists, and a suitable replacement cannot be found. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000049","bsg-d000049"],"name":"FAIRsharing record for: Human Mitochondrial Database","abbreviation":"HmtDB","url":"https://fairsharing.org/10.25504/FAIRsharing.m90ne8","doi":"10.25504/FAIRsharing.m90ne8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HmtDB is an open resource created to support population genetics and mitochondrial disease studies. The database hosts human mitochondrial genome sequences annotated with population and variability data, the latter being estimated through the application of the SiteVar/MitVarProt programs, based on site-specific nucleotide and aminoacid variability calculations. The annotations are manually curated thus adding value to the quality of the information provided to the end-user.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Mitochondrial genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":77,"pubmed_id":16351753,"title":"HmtDB, a human mitochondrial genomic resource based on variability studies supporting population genetics and biomedical research.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-S4-S4","authors":"Attimonelli M., Accetturo M., Santamaria M., Lascaro D., Scioscia G., Pappadà G., Russo L., Zanchetta L., Tommaseo-Ponzetta M.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-S4-S4","created_at":"2021-09-30T08:22:28.471Z","updated_at":"2021-09-30T08:22:28.471Z"},{"id":3992,"pubmed_id":null,"title":"HmtDB 2016: data update, a better performing query system and human mitochondrial DNA haplogroup predictor","year":2016,"url":"http://dx.doi.org/10.1093/nar/gkw1066","authors":"Clima, Rosanna; Preste, Roberto; Calabrese, Claudia; Diroma, Maria Angela; Santorsola, Mariangela; Scioscia, Gaetano; Simone, Domenico; Shen, Lishuang; Gasparre, Giuseppe; Attimonelli, Marcella; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1066","created_at":"2023-09-20T14:02:52.827Z","updated_at":"2023-09-20T14:02:52.827Z"}],"licence_links":[],"grants":[{"id":10870,"fairsharing_record_id":1594,"organisation_id":3018,"relation":"maintains","created_at":"2023-09-20T14:06:59.206Z","updated_at":"2023-09-20T14:06:59.206Z","grant_id":null,"is_lead":true,"saved_state":{"id":3018,"name":"University of Bari, Bari, Italy","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1595","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:52:07.042Z","metadata":{"doi":"10.25504/FAIRsharing.m4a6d3","name":"HotRegion","status":"deprecated","contacts":[],"homepage":"http://prism.ccbb.ku.edu.tr/hotregion","citations":[],"identifier":1595,"description":"Database of interaction Hotspots across the proteome. Hot spots are energetically important residues at protein interfaces and they are not randomly distributed across the interface but rather clustered. These clustered hot spots form hot regions. HotRegion, provides information of these interfaces by using predicted hot spot residues, and structural properties of these interface residues such as pair potentials of interface residues, accessible surface area (ASA) and relative ASA values of interface residues of both monomer and complex forms of proteins. Also, the 3D visualization of the interface and interactions among hot spot residues are provided.","abbreviation":"HotRegion","data_curation":{"type":"automated"},"support_links":[{"url":"http://prism.ccbb.ku.edu.tr/hotregion/tutorial.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2022-06-29","deprecation_reason":"This resource is no longer available at the stated homepage. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000050","bsg-d000050"],"name":"FAIRsharing record for: HotRegion","abbreviation":"HotRegion","url":"https://fairsharing.org/10.25504/FAIRsharing.m4a6d3","doi":"10.25504/FAIRsharing.m4a6d3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of interaction Hotspots across the proteome. Hot spots are energetically important residues at protein interfaces and they are not randomly distributed across the interface but rather clustered. These clustered hot spots form hot regions. HotRegion, provides information of these interfaces by using predicted hot spot residues, and structural properties of these interface residues such as pair potentials of interface residues, accessible surface area (ASA) and relative ASA values of interface residues of both monomer and complex forms of proteins. Also, the 3D visualization of the interface and interactions among hot spot residues are provided.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction"],"taxonomies":["All"],"user_defined_tags":["Hot region","Hot spot"],"countries":["Turkey"],"publications":[{"id":68,"pubmed_id":20437205,"title":"Analysis of hot region organization in hub proteins.","year":2010,"url":"http://doi.org/10.1007/s10439-010-0048-9","authors":"Cukuroglu E., Gursoy A., Keskin O.,","journal":"Ann Biomed Eng","doi":"10.1007/s10439-010-0048-9","created_at":"2021-09-30T08:22:27.571Z","updated_at":"2021-09-30T08:22:27.571Z"},{"id":82,"pubmed_id":15644221,"title":"Hot regions in protein--protein interactions: the organization and contribution of structurally conserved hot spot residues.","year":2005,"url":"http://doi.org/10.1016/j.jmb.2004.10.077","authors":"Keskin O., Ma B., Nussinov R.,","journal":"J. Mol. Biol.","doi":"10.1016/j.jmb.2004.10.077","created_at":"2021-09-30T08:22:28.896Z","updated_at":"2021-09-30T08:22:28.896Z"},{"id":1552,"pubmed_id":22080558,"title":"HotRegion: a database of predicted hot spot clusters.","year":2011,"url":"http://doi.org/10.1093/nar/gkr929","authors":"Cukuroglu E,Gursoy A,Keskin O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr929","created_at":"2021-09-30T08:25:13.859Z","updated_at":"2021-09-30T11:29:13.410Z"}],"licence_links":[],"grants":[{"id":166,"fairsharing_record_id":1595,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:21.006Z","updated_at":"2021-09-30T09:24:21.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":164,"fairsharing_record_id":1595,"organisation_id":2710,"relation":"funds","created_at":"2021-09-30T09:24:20.947Z","updated_at":"2021-09-30T09:30:15.030Z","grant_id":621,"is_lead":false,"saved_state":{"id":2710,"name":"TBTAK, Ankara, Turkey","grant":"109E207","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8122,"fairsharing_record_id":1595,"organisation_id":2710,"relation":"funds","created_at":"2021-09-30T09:31:04.063Z","updated_at":"2021-09-30T09:31:04.120Z","grant_id":1001,"is_lead":false,"saved_state":{"id":2710,"name":"TBTAK, Ankara, Turkey","grant":"109T343","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1596","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:36.170Z","metadata":{"doi":"10.25504/FAIRsharing.dz1xxr","name":"Integrative and Conjugative Elements in Bacteria","status":"ready","contacts":[{"contact_name":"Hong-Yu OU","contact_email":"hyou@sjtu.edu.cn","contact_orcid":"0000-0001-9439-1660"}],"homepage":"http://db-mml.sjtu.edu.cn/ICEberg/","citations":[],"identifier":1596,"description":"A web-based resource for integrative and conjugative elements (ICEs) found in bacteria. It collates available data from experimental and bioinformatics analyses, and literature, about known and putative ICEs in bacteria as a PostgreSQL-based database called ICEberg. This database contains detailed information on all archived ICEs and the genes carried by each entity, including unique identifiers, species details and hyperlink-paths to other public databases, like NCBI, UniprotKB and KEGG.","abbreviation":"ICEberg","data_curation":{"type":"manual"},"support_links":[{"url":"http://db-mml.sjtu.edu.cn/ICEberg/contact.html","type":"Contact form"},{"url":"http://db-mml.sjtu.edu.cn/ICEberg/Introduction.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://blast.wustl.edu","name":"BLAST 2.0"},{"url":"http://gmod.org/wiki/Ggb/","name":"GBrowse"},{"url":"https://www.postgresql.org/about/","name":"PostgreSQL"},{"url":"http://www.drive5.com/muscle/","name":"MUSCLE"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000051","bsg-d000051"],"name":"FAIRsharing record for: Integrative and Conjugative Elements in Bacteria","abbreviation":"ICEberg","url":"https://fairsharing.org/10.25504/FAIRsharing.dz1xxr","doi":"10.25504/FAIRsharing.dz1xxr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A web-based resource for integrative and conjugative elements (ICEs) found in bacteria. It collates available data from experimental and bioinformatics analyses, and literature, about known and putative ICEs in bacteria as a PostgreSQL-based database called ICEberg. This database contains detailed information on all archived ICEs and the genes carried by each entity, including unique identifiers, species details and hyperlink-paths to other public databases, like NCBI, UniprotKB and KEGG.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Microbial Genetics"],"domains":["Conjugative transposon","Genomic island","Mobile genetic element"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":745,"pubmed_id":22009673,"title":"ICEberg: a web-based resource for integrative and conjugative elements found in Bacteria.","year":2011,"url":"http://doi.org/10.1093/nar/gkr846","authors":"Bi D,Xu Z,Harrison EM,Tai C,Wei Y,He X,Jia S,Deng Z,Rajakumar K,Ou HY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr846","created_at":"2021-09-30T08:23:42.042Z","updated_at":"2021-09-30T11:28:49.508Z"}],"licence_links":[],"grants":[{"id":170,"fairsharing_record_id":1596,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:21.109Z","updated_at":"2021-09-30T09:29:30.849Z","grant_id":279,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","grant":"NCET-10-0572","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":168,"fairsharing_record_id":1596,"organisation_id":2628,"relation":"maintains","created_at":"2021-09-30T09:24:21.054Z","updated_at":"2021-09-30T09:24:21.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":2628,"name":"State Key Laboratory of Microbial Metabolism, Shanghai Jiaotong University, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":169,"fairsharing_record_id":1596,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:21.079Z","updated_at":"2021-09-30T09:24:21.079Z","grant_id":null,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":167,"fairsharing_record_id":1596,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:21.028Z","updated_at":"2021-09-30T09:29:54.038Z","grant_id":458,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2011BAD23B05-3","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8019,"fairsharing_record_id":1596,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:25.494Z","updated_at":"2021-09-30T09:30:25.553Z","grant_id":705,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2012CB721002","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8326,"fairsharing_record_id":1596,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:06.183Z","updated_at":"2021-09-30T09:32:06.241Z","grant_id":1470,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009CB118901","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1597","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:17.971Z","metadata":{"doi":"10.25504/FAIRsharing.h3y42f","name":"Intrinsically Disordered proteins with Extensive Annotations and Literature","status":"ready","contacts":[{"contact_name":"Satoshi Fukuchi","contact_email":"sfukuchi@maebashi-it.ac.jp"}],"homepage":"https://www.ideal-db.org/","citations":[{"doi":"10.1093/nar/gkt1010","pubmed_id":24178034,"publication_id":2728}],"identifier":1597,"description":"IDEAL (Intrinsically Disordered proteins with Extensive Annotations and Literature) is a collection of experimentally-verified intrinsically disordered proteins (IDPs) that cannot adopt stable globular structures under physiological conditions. IDEAL contains manually curated annotations on IDPs in locations, structures, and functional sites such as protein binding regions and post-translational modification sites together with references and structural domain assignments.","abbreviation":"IDEAL","data_curation":{"url":"https://www.ideal-db.org/help.pdf","type":"manual","notes":"IDEAL contains manual annotations by curators."},"support_links":[{"url":"ideal-admin@force.cs.is.nagoya-u.ac.jp","name":"General Enquiries","type":"Support email"},{"url":"mota@i.nagoya-u.ac.jp","name":"Motonori Ota","type":"Support email"},{"url":"https://www.ideal-db.org/help.pdf","name":"User Manual","type":"Help documentation"},{"url":"https://www.ideal-db.org/statistics.html","name":"Statistics","type":"Help documentation"},{"url":"https://www.ideal-db.org/whatsnew.html","name":"News","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000052","bsg-d000052"],"name":"FAIRsharing record for: Intrinsically Disordered proteins with Extensive Annotations and Literature","abbreviation":"IDEAL","url":"https://fairsharing.org/10.25504/FAIRsharing.h3y42f","doi":"10.25504/FAIRsharing.h3y42f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IDEAL (Intrinsically Disordered proteins with Extensive Annotations and Literature) is a collection of experimentally-verified intrinsically disordered proteins (IDPs) that cannot adopt stable globular structures under physiological conditions. IDEAL contains manually curated annotations on IDPs in locations, structures, and functional sites such as protein binding regions and post-translational modification sites together with references and structural domain assignments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Post-translational protein modification","Molecular interaction","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":["Ordered regions in proteins"],"countries":["Japan"],"publications":[{"id":2728,"pubmed_id":24178034,"title":"IDEAL in 2014 illustrates interaction networks composed of intrinsically disordered proteins and their binding partners.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1010","authors":"Fukuchi S,Amemiya T,Sakamoto S,Nobe Y,Hosoda K,Kado Y,Murakami SD,Koike R,Hiroaki H,Ota M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1010","created_at":"2021-09-30T08:27:35.076Z","updated_at":"2021-09-30T11:29:42.154Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1767,"relation":"undefined"}],"grants":[{"id":172,"fairsharing_record_id":1597,"organisation_id":1743,"relation":"maintains","created_at":"2021-09-30T09:24:21.199Z","updated_at":"2021-09-30T09:24:21.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":1743,"name":"Maebashi Institute of Technology, Gunma, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":171,"fairsharing_record_id":1597,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:21.159Z","updated_at":"2021-09-30T09:24:21.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":173,"fairsharing_record_id":1597,"organisation_id":1925,"relation":"maintains","created_at":"2021-09-30T09:24:21.231Z","updated_at":"2021-09-30T09:24:21.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":1925,"name":"Nagoya University, Nagoya, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1575","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:13:49.573Z","metadata":{"doi":"10.25504/FAIRsharing.tw7vf","name":"Human Disease-Related Viral Integration Sites","status":"deprecated","contacts":[{"contact_name":"Haitao Zhao","contact_email":"zhaoht@pumch.cn"}],"homepage":"http://www.bioinfo.org/drvis/index.php","identifier":1575,"description":"Dr.VIS collects and locates human disease-related viral integration sites. So far, about 600 sites covering 5 virus organisms and 11 human diseases are available. Integration sites in Dr.VIS are located against chromesome, cytoband, gene and refseq position as specific as possible. Viral-cellular junction sequences are extracted from papers and nucleotide databases, and linked to cooresponding integration sites Graphic views summarizing distribution of viral integration sites are generated according to chromosome maps.","abbreviation":"Dr.VIS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bioinfo.org/drvis/help.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000030","bsg-d000030"],"name":"FAIRsharing record for: Human Disease-Related Viral Integration Sites","abbreviation":"Dr.VIS","url":"https://fairsharing.org/10.25504/FAIRsharing.tw7vf","doi":"10.25504/FAIRsharing.tw7vf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dr.VIS collects and locates human disease-related viral integration sites. So far, about 600 sites covering 5 virus organisms and 11 human diseases are available. Integration sites in Dr.VIS are located against chromesome, cytoband, gene and refseq position as specific as possible. Viral-cellular junction sequences are extracted from papers and nucleotide databases, and linked to cooresponding integration sites Graphic views summarizing distribution of viral integration sites are generated according to chromosome maps.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Sequence position","DNA sequence data","Chromosomal region","Phenotype","Disease","Gene"],"taxonomies":["Barr virus","Hepatitis b virus","Homo sapiens","Human papillomavirus","Merkel cell polyomavirus","Virus type 1"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":750,"pubmed_id":25355513,"title":"Dr.VIS v2.0: an updated database of human disease-related viral integration sites in the era of high-throughput deep sequencing.","year":2014,"url":"http://doi.org/10.1093/nar/gku1074","authors":"Yang X,Li M,Liu Q,Zhang Y,Qian J,Wan X,Wang A,Zhang H,Zhu C,Lu X,Mao Y,Sang X,Zhao H,Zhao Y,Zhang X","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1074","created_at":"2021-09-30T08:23:42.584Z","updated_at":"2021-09-30T11:28:49.693Z"},{"id":1549,"pubmed_id":22135288,"title":"Dr.VIS: a database of human disease-related viral integration sites.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1142","authors":"Zhao X,Liu Q,Cai Q,Li Y,Xu C,Li Y,Li Z,Zhang X","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1142","created_at":"2021-09-30T08:25:13.558Z","updated_at":"2021-09-30T11:29:12.021Z"}],"licence_links":[],"grants":[{"id":8026,"fairsharing_record_id":1575,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:28.493Z","updated_at":"2021-09-30T09:30:28.554Z","grant_id":727,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"91229120","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":99,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:18.452Z","updated_at":"2021-09-30T09:29:47.303Z","grant_id":403,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009AA02Z308","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":105,"fairsharing_record_id":1575,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:18.678Z","updated_at":"2021-09-30T09:29:57.664Z","grant_id":487,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81101955","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":104,"fairsharing_record_id":1575,"organisation_id":2558,"relation":"funds","created_at":"2021-09-30T09:24:18.629Z","updated_at":"2021-09-30T09:32:00.086Z","grant_id":1423,"is_lead":false,"saved_state":{"id":2558,"name":"Shanghai Municipal Health Bureau Scientific Research Task","grant":"20114182","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8307,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:00.781Z","updated_at":"2021-09-30T09:32:00.831Z","grant_id":1428,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2010CB945501","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8441,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:39.535Z","updated_at":"2021-09-30T09:32:39.588Z","grant_id":1721,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2010CB529200","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8880,"fairsharing_record_id":1575,"organisation_id":915,"relation":"funds","created_at":"2022-02-13T18:59:37.184Z","updated_at":"2022-02-13T18:59:37.184Z","grant_id":1405,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"2010DFB33720","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":100,"fairsharing_record_id":1575,"organisation_id":2365,"relation":"funds","created_at":"2021-09-30T09:24:18.476Z","updated_at":"2021-09-30T09:29:15.144Z","grant_id":159,"is_lead":false,"saved_state":{"id":2365,"name":"Program for New Century Excellent Talents in University of China","grant":"NCET-11-0288","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7994,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:17.767Z","updated_at":"2021-09-30T09:30:17.812Z","grant_id":642,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2008BAI64B01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8216,"fairsharing_record_id":1575,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:35.857Z","updated_at":"2021-09-30T09:31:35.902Z","grant_id":1242,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30970623","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1576","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:05:33.103Z","metadata":{"doi":"10.25504/FAIRsharing.tx95wa","name":"EcoliWiki","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"ecoliwiki@gmail.com"}],"homepage":"https://ecoliwiki.org/colipedia/index.php/Welcome_to_EcoliWiki","citations":[],"identifier":1576,"description":"EcoliWiki is a community-based resource for the annotation of all non-pathogenic E. coli, its phages, plasmids, and mobile genetic elements. Users can contribute data to this wiki-style repository.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://ecoliwiki.org/colipedia/index.php/Category:Help","name":"Help Pages","type":"Help documentation"},{"url":"https://ecoliwiki.org/colipedia/index.php/FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[],"deprecation_date":"2024-04-29","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000031","bsg-d000031"],"name":"FAIRsharing record for: EcoliWiki","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tx95wa","doi":"10.25504/FAIRsharing.tx95wa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EcoliWiki is a community-based resource for the annotation of all non-pathogenic E. coli, its phages, plasmids, and mobile genetic elements. Users can contribute data to this wiki-style repository.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Bioinformatics","Genetics"],"domains":["Cis element","Molecular structure","Citation","Protein domain","Expression data","DNA sequence data","Gene Ontology enrichment","PTM site prediction","Function analysis","Gene model annotation","Cellular localization","Centrally registered identifier","Genetic interaction","Transcription factor","Protocol","Plasmid","Cloning plasmid","Phenotype","Classification","Teaching material","Structure","Transposable element","Sequence feature","Operon","Homologous","Orthologous","Insertion sequence","Prophage","Cryptic prophage","Allele","Sequence motif","Genetic strain"],"taxonomies":["Escherichia coli"],"user_defined_tags":["Conjugative plasmid","Expression plasmid","Molecules per cell","Phantom genes","Physical interaction","Unmapped gene"],"countries":["United States"],"publications":[{"id":43,"pubmed_id":19576778,"title":"What we can learn about Escherichia coli through application of Gene Ontology.","year":2009,"url":"http://doi.org/10.1016/j.tim.2009.04.004","authors":"Hu JC., Karp PD., Keseler IM., Krummenacker M., Siegele DA.,","journal":"Trends Microbiol.","doi":"10.1016/j.tim.2009.04.004","created_at":"2021-09-30T08:22:25.055Z","updated_at":"2021-09-30T08:22:25.055Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3186,"relation":"applies_to_content"}],"grants":[{"id":107,"fairsharing_record_id":1576,"organisation_id":2733,"relation":"maintains","created_at":"2021-09-30T09:24:18.725Z","updated_at":"2021-09-30T09:24:18.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":2733,"name":"Texas A\u0026M University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":106,"fairsharing_record_id":1576,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:18.701Z","updated_at":"2021-09-30T09:30:14.606Z","grant_id":617,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U24GM088849","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1577","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:11.091Z","metadata":{"doi":"10.25504/FAIRsharing.j1wj7d","name":"Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups","status":"ready","contacts":[{"contact_name":"Peer Bork","contact_email":"bork@embl.de"}],"homepage":"http://eggnog.embl.de","citations":[],"identifier":1577,"description":"eggNOG (evolutionary genealogy of genes: Non-supervised Orthologous Groups) is a database of orthologous groups of genes. The orthologous groups are annotated with functional description lines (derived by identifying a common denominator for the genes based on their various annotations), with functional categories (i.e derived from the original COG/KOG categories).","abbreviation":"eggNOG","data_curation":{"type":"not found"},"support_links":[{"url":"http://eggnog.embl.de/version_3.0/help.html","type":"Help documentation"},{"url":"http://eggnogdb.embl.de/#/app/methods","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/EggNOG_(database)","type":"Wikipedia"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000032","bsg-d000032"],"name":"FAIRsharing record for: Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups","abbreviation":"eggNOG","url":"https://fairsharing.org/10.25504/FAIRsharing.j1wj7d","doi":"10.25504/FAIRsharing.j1wj7d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: eggNOG (evolutionary genealogy of genes: Non-supervised Orthologous Groups) is a database of orthologous groups of genes. The orthologous groups are annotated with functional description lines (derived by identifying a common denominator for the genes based on their various annotations), with functional categories (i.e derived from the original COG/KOG categories).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Multiple sequence alignment","Gene","Orthologous"],"taxonomies":["All"],"user_defined_tags":["Newick tree"],"countries":["Germany"],"publications":[{"id":52,"pubmed_id":19900971,"title":"eggNOG v2.0: extending the evolutionary genealogy of genes with enhanced non-supervised orthologous groups, species and functional annotations.","year":2009,"url":"http://doi.org/10.1093/nar/gkp951","authors":"Muller J., Szklarczyk D., Julien P., Letunic I., Roth A., Kuhn M., Powell S., von Mering C., Doerks T., Jensen LJ., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp951","created_at":"2021-09-30T08:22:25.956Z","updated_at":"2021-09-30T08:22:25.956Z"},{"id":53,"pubmed_id":17942413,"title":"eggNOG: automated construction and annotation of orthologous groups of genes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm796","authors":"Jensen LJ., Julien P., Kuhn M., von Mering C., Muller J., Doerks T., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm796","created_at":"2021-09-30T08:22:26.056Z","updated_at":"2021-09-30T08:22:26.056Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":95,"relation":"undefined"}],"grants":[{"id":109,"fairsharing_record_id":1577,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:18.776Z","updated_at":"2021-09-30T09:24:18.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":112,"fairsharing_record_id":1577,"organisation_id":930,"relation":"funds","created_at":"2021-09-30T09:24:18.891Z","updated_at":"2021-09-30T09:29:05.266Z","grant_id":87,"is_lead":false,"saved_state":{"id":930,"name":"European FP6 Eurasnet project","grant":"LSHG-CT-2005-518238","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":111,"fairsharing_record_id":1577,"organisation_id":274,"relation":"funds","created_at":"2021-09-30T09:24:18.849Z","updated_at":"2021-09-30T09:32:13.408Z","grant_id":1523,"is_lead":false,"saved_state":{"id":274,"name":"BioSapiens Network of Excellence, Europe","grant":"LSHG-CT-2003-503265","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":113,"fairsharing_record_id":1577,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:24:18.933Z","updated_at":"2021-09-30T09:29:26.427Z","grant_id":251,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"IMPACT 213037","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":110,"fairsharing_record_id":1577,"organisation_id":817,"relation":"funds","created_at":"2021-09-30T09:24:18.807Z","updated_at":"2021-09-30T09:31:42.111Z","grant_id":1289,"is_lead":false,"saved_state":{"id":817,"name":"EC GeneFun","grant":"LSHG-CT-2004-503567","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9350,"fairsharing_record_id":1577,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.321Z","updated_at":"2022-04-11T12:07:32.339Z","grant_id":322,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GS08169","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9366,"fairsharing_record_id":1577,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.433Z","updated_at":"2022-04-11T12:07:33.449Z","grant_id":726,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GR0454","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1588","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:15:12.516Z","metadata":{"doi":"10.25504/FAIRsharing.f5zx00","name":"Expression Atlas","status":"ready","contacts":[{"contact_email":"atlas-feedback@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/gxa","citations":[{"doi":"0.1093/nar/gkz947","pubmed_id":31665515,"publication_id":2607}],"identifier":1588,"description":"The Expression Atlas is a free resource providing information on gene expression patterns under different biological conditions in a variety of species. Gene expression data is re-analysed in-house to detect genes showing interesting baseline and differential expression patterns, allowing a user to ask questions such as \"what are the genes expressed in normal human liver\" and \"what genes are differentially expressed between water-stressed rice plants and controls with normal watering?\" The resource features proteomics data sets provided by collaborators for corroboration between gene- and protein-level expression results. The latest component, Single Cell Expression Atlas, systematically reanalyses and visualises single cell RNA-sequencing datasets and helps answer questions such as what cell population a gene can act as a marker gene.","abbreviation":"Expression Atlas","data_curation":{"url":"https://www.ebi.ac.uk/gxa/about.html","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/support/gxa","name":"GXA Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/gxa/FAQ.html","name":"Expression Atlas FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/gxa/help/index.html","name":"Expression Atlas Help","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gxa/sc/help.html","name":"Single Cell Expression Atlas Help","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gxa/about.html","name":"About Expression Atlas","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/expression-atlas-quick-tour","name":"Expression atlas quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/course/life-cell-cell-introduction-single-cell-expression-atlas","name":"Webinar Single Cell Expression Atlas","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/explore-gene-expression-across-species-expression-atlas","name":"Webinar Bulk Expression Atlas","type":"Training documentation"},{"url":"https://twitter.com/ExpressionAtlas","name":"@ExpressionAtlas","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Expression_Atlas","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://nunofonseca.github.io/irap/","name":"iRAP"},{"url":"https://www.bioconductor.org/packages/release/bioc/html/ExpressionAtlas.html","name":"ExpressionAtlas R Package on Bioconductor"},{"url":"https://github.com/ebi-gene-expression-group/atlas-heatmap","name":"Expression Atlas Heatmap"},{"url":"https://github.com/ebi-gene-expression-group/atlas-web-core","name":"Expression Atlas web application (core components)"},{"url":"https://github.com/ebi-gene-expression-group/atlas-web-bulk","name":"Expression Atlas web application (bulk components)"},{"url":"https://github.com/ebi-gene-expression-group/atlas-web-single-cell","name":"Expression Atlas web application (single cell components)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010223","name":"re3data:r3d100010223","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007989","name":"SciCrunch:RRID:SCR_007989","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/gxa/about.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000043","bsg-d000043"],"name":"FAIRsharing record for: Expression Atlas","abbreviation":"Expression Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.f5zx00","doi":"10.25504/FAIRsharing.f5zx00","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Expression Atlas is a free resource providing information on gene expression patterns under different biological conditions in a variety of species. Gene expression data is re-analysed in-house to detect genes showing interesting baseline and differential expression patterns, allowing a user to ask questions such as \"what are the genes expressed in normal human liver\" and \"what genes are differentially expressed between water-stressed rice plants and controls with normal watering?\" The resource features proteomics data sets provided by collaborators for corroboration between gene- and protein-level expression results. The latest component, Single Cell Expression Atlas, systematically reanalyses and visualises single cell RNA-sequencing datasets and helps answer questions such as what cell population a gene can act as a marker gene.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11319},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12154},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12580}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Transcriptomics"],"domains":["Expression data","Differential gene expression analysis","Gene expression","RNA sequencing"],"taxonomies":["All"],"user_defined_tags":["Single cell gene expression"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":65,"pubmed_id":19906730,"title":"Gene expression atlas at the European bioinformatics institute.","year":2009,"url":"http://doi.org/10.1093/nar/gkp936","authors":"Kapushesky M., Emam I., Holloway E., Kurnosov P., Zorin A., Malone J., Rustici G., Williams E., Parkinson H., Brazma A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp936","created_at":"2021-09-30T08:22:27.289Z","updated_at":"2021-09-30T08:22:27.289Z"},{"id":382,"pubmed_id":29165655,"title":"Expression Atlas: gene and protein expression across multiple studies and organisms.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1158","authors":"Papatheodorou I,Fonseca NA,Keays M,Tang YA,Barrera E,Bazant W,Burke M,Fullgrabe A,Fuentes AM,George N,Huerta L,Koskinen S,Mohammed S,Geniza M,Preece J,Jaiswal P,Jarnuczak AF,Huber W,Stegle O,Vizcaino JA,Brazma A,Petryszak R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1158","created_at":"2021-09-30T08:23:01.406Z","updated_at":"2021-09-30T11:28:46.133Z"},{"id":817,"pubmed_id":24304889,"title":"Expression Atlas update--a database of gene and transcript expression from microarray- and sequencing-based functional genomics experiments.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1270","authors":"Petryszak R, Burdett T, Fiorelli B, Fonseca NA, Gonzalez-Porta M, Hastings E, Huber W, Jupp S, Keays M, Kryvych N, McMurry J, Marioni JC, Malone J, Megy K, Rustici G, Tang AY, Taubert J, Williams E, Mannion O, Parkinson HE, Brazma A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1270","created_at":"2021-09-30T08:23:50.113Z","updated_at":"2021-09-30T08:23:50.113Z"},{"id":2596,"pubmed_id":26481351,"title":"Expression Atlas update--an integrated database of gene and protein expression in humans, animals and plants.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1045","authors":"Petryszak R,Keays M,Tang YA,Fonseca NA,Barrera E,Burdett T,Fullgrabe A,Fuentes AM,Jupp S,Koskinen S,Mannion O,Huerta L,Megy K,Snow C,Williams E,Barzine M,Hastings E,Weisser H,Wright J,Jaiswal P,Huber W,Choudhary J,Parkinson HE,Brazma A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1045","created_at":"2021-09-30T08:27:18.568Z","updated_at":"2021-09-30T11:29:40.311Z"},{"id":2607,"pubmed_id":31665515,"title":"Expression Atlas update: from tissues to single cells","year":2019,"url":"http://doi.org/10.1093/nar/gkz947","authors":"Irene Papatheodorou, Pablo Moreno, Jonathan Manning, Alfonso Muñoz-Pomer Fuentes, Nancy George, Silvie Fexova et al.,","journal":"Nucleic Acids Research","doi":"0.1093/nar/gkz947","created_at":"2021-09-30T08:27:20.014Z","updated_at":"2021-09-30T08:27:20.014Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2314,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2313,"relation":"undefined"}],"grants":[{"id":148,"fairsharing_record_id":1588,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:20.384Z","updated_at":"2021-09-30T09:24:20.384Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9240,"fairsharing_record_id":1588,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.696Z","updated_at":"2022-04-11T12:07:24.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1589","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:55:02.387Z","metadata":{"doi":"10.25504/FAIRsharing.j7esqq","name":"GeneDB","status":"deprecated","contacts":[{"contact_email":"genedb-help@sanger.ac.uk"}],"homepage":"http://www.genedb.org/","identifier":1589,"description":"GeneDB is a genome database for prokaryotic and eukaryotic organisms and provides a portal through which data generated by the \"Pathogen Genomics\" group at the Wellcome Trust Sanger Institute and other collaborating sequencing centres can be accessed.","abbreviation":"GeneDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genedb.org/Page/genedbFAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.genedb.org/Page/aboutUs","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GeneDB","type":"Wikipedia"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"http://www.sanger.ac.uk/science/tools/artemis","name":"Artemis"},{"url":"http://www.genedb.org/web-artemis/","name":"Web-Artemis"},{"url":"http://www.sanger.ac.uk/science/tools/artemis-comparison-tool-act","name":"ACT"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010626","name":"re3data:r3d100010626","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002774","name":"SciCrunch:RRID:SCR_002774","portal":"SciCrunch"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available, and its data migrated to other resources. (See https://www.genedb.org/)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000044","bsg-d000044"],"name":"FAIRsharing record for: GeneDB","abbreviation":"GeneDB","url":"https://fairsharing.org/10.25504/FAIRsharing.j7esqq","doi":"10.25504/FAIRsharing.j7esqq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneDB is a genome database for prokaryotic and eukaryotic organisms and provides a portal through which data generated by the \"Pathogen Genomics\" group at the Wellcome Trust Sanger Institute and other collaborating sequencing centres can be accessed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Pathogen","Sequence","Genome"],"taxonomies":["Bacteria","Helmintha","Protozoa","Viruses"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":73,"pubmed_id":14681429,"title":"GeneDB: a resource for prokaryotic and eukaryotic organisms.","year":2003,"url":"http://doi.org/10.1093/nar/gkh007","authors":"Hertz-Fowler C., Peacock CS., Wood V., Aslett M., Kerhornou A., Mooney P., Tivey A., Berriman M., Hall N., Rutherford K., Parkhill J., Ivens AC., Rajandream MA., Barrell B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh007","created_at":"2021-09-30T08:22:28.050Z","updated_at":"2021-09-30T08:22:28.050Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Generic (CC BY-NC-ND 2.5)","licence_id":175,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/","link_id":137,"relation":"undefined"},{"licence_name":"Sanger Terms and Conditions of Use","licence_id":725,"licence_url":"http://www.sanger.ac.uk/legal/","link_id":138,"relation":"undefined"}],"grants":[{"id":150,"fairsharing_record_id":1589,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:20.465Z","updated_at":"2021-09-30T09:24:20.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1590","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:36:23.324Z","metadata":{"doi":"10.25504/FAIRsharing.1ety1h","name":"GeneSigDB: a manually curated database and resource for analysis of gene expression signatures","status":"deprecated","contacts":[{"contact_name":"Aedin Culhane","contact_email":"aedin@jimmy.harvard.edu"}],"homepage":"http://www.genesigdb.org","identifier":1590,"description":"Gene Signature DataBase (GeneSigDB) is a database of gene signatures (or gene sets) that have been extracted and manually curated from articles that are indexed by PubMed.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genesigdb.org/genesigdb/","type":"Contact form"},{"url":"genesigdb@jimmy.harvard.edu","type":"Support email"},{"url":"http://www.genesigdb.org/genesigdb/documentation.jsp","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000045","bsg-d000045"],"name":"FAIRsharing record for: GeneSigDB: a manually curated database and resource for analysis of gene expression signatures","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1ety1h","doi":"10.25504/FAIRsharing.1ety1h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Signature DataBase (GeneSigDB) is a database of gene signatures (or gene sets) that have been extracted and manually curated from articles that are indexed by PubMed.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12581}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Bibliography","Cancer","Curated information","Gene"],"taxonomies":["All","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":67,"pubmed_id":19934259,"title":"GeneSigDB--a curated database of gene expression signatures.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1015","authors":"Culhane AC., Schwarzl T., Sultana R., Picard KC., Picard SC., Lu TH., Franklin KR., French SJ., Papenhausen G., Correll M., Quackenbush J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1015","created_at":"2021-09-30T08:22:27.479Z","updated_at":"2021-09-30T08:22:27.479Z"}],"licence_links":[],"grants":[{"id":151,"fairsharing_record_id":1590,"organisation_id":636,"relation":"undefined","created_at":"2021-09-30T09:24:20.497Z","updated_at":"2021-09-30T09:24:20.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":152,"fairsharing_record_id":1590,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:20.529Z","updated_at":"2021-09-30T09:29:52.230Z","grant_id":443,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01-CA098522","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":153,"fairsharing_record_id":1590,"organisation_id":29,"relation":"maintains","created_at":"2021-09-30T09:24:20.552Z","updated_at":"2021-09-30T09:24:20.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":29,"name":"Aedin Culhane Lab, Harvard School of Public Health, Boston, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7952,"fairsharing_record_id":1590,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:30:02.825Z","updated_at":"2021-09-30T09:30:02.929Z","grant_id":529,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"1P50HG004233","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8932,"fairsharing_record_id":1590,"organisation_id":1215,"relation":"maintains","created_at":"2022-03-09T13:28:05.163Z","updated_at":"2022-03-09T13:28:05.163Z","grant_id":null,"is_lead":false,"saved_state":{"id":1215,"name":"Harvard T.H. Chan School of Public Health, Boston, MA, United States","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1591","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T09:45:40.974Z","metadata":{"doi":"10.25504/FAIRsharing.x18jh7","name":"HaploReg","status":"deprecated","contacts":[{"contact_name":"Manolis Kellis","contact_email":"manoli@mit.edu"}],"homepage":"http://compbio.mit.edu/HaploReg","citations":[],"identifier":1591,"description":"HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using LD information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with chromatin state and protein binding annotation from the Roadmap Epigenomics and ENCODE projects, sequence conservation across mammals, the effect of SNPs on regulatory motifs, and the effect of SNPs on expression from eQTL studies. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation.","abbreviation":"HaploReg","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://pubs.broadinstitute.org/mammals/haploreg/haploreg.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2024-04-29","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000046","bsg-d000046"],"name":"FAIRsharing record for: HaploReg","abbreviation":"HaploReg","url":"https://fairsharing.org/10.25504/FAIRsharing.x18jh7","doi":"10.25504/FAIRsharing.x18jh7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using LD information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with chromatin state and protein binding annotation from the Roadmap Epigenomics and ENCODE projects, sequence conservation across mammals, the effect of SNPs on regulatory motifs, and the effect of SNPs on expression from eQTL studies. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Biological regulation","Chromatin immunoprecipitation - DNA sequencing","Conserved region","Allele frequency","Chromatin structure variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Distance to genes","DNAse hypersensitivity"],"countries":["United States"],"publications":[{"id":1525,"pubmed_id":26657631,"title":"HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1340","authors":"Ward LD,Kellis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1340","created_at":"2021-09-30T08:25:10.742Z","updated_at":"2021-09-30T11:29:12.260Z"},{"id":1526,"pubmed_id":22064851,"title":"HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants.","year":2011,"url":"http://doi.org/10.1093/nar/gkr917","authors":"Ward LD,Kellis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr917","created_at":"2021-09-30T08:25:10.849Z","updated_at":"2021-09-30T11:29:12.351Z"}],"licence_links":[],"grants":[{"id":8226,"fairsharing_record_id":1591,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:31:38.123Z","updated_at":"2021-09-30T09:31:38.175Z","grant_id":1259,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01-HG004037","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":155,"fairsharing_record_id":1591,"organisation_id":1632,"relation":"undefined","created_at":"2021-09-30T09:24:20.608Z","updated_at":"2021-09-30T09:24:20.608Z","grant_id":null,"is_lead":false,"saved_state":{"id":1632,"name":"Kellis Lab, MIT Computer Science and Broad Institute, Cambridge, MA, USA","types":["Lab"],"is_lead":false,"relation":"undefined"}},{"id":156,"fairsharing_record_id":1591,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:20.651Z","updated_at":"2021-09-30T09:31:32.417Z","grant_id":1216,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0644282","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":157,"fairsharing_record_id":1591,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:20.693Z","updated_at":"2021-09-30T09:29:00.951Z","grant_id":55,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"RC1-HG005334","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8018,"fairsharing_record_id":1591,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:30:25.275Z","updated_at":"2021-09-30T09:30:25.313Z","grant_id":703,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01-HG008155","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1585","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:33.454Z","metadata":{"doi":"10.25504/FAIRsharing.xf30yc","name":"Fungal and Oomycete genomics resource","status":"ready","contacts":[{"contact_name":"Jason E. Stajich","contact_email":"jason.stajich@ucr.edu","contact_orcid":"0000-0002-7591-0020"}],"homepage":"http://fungidb.org","citations":[],"identifier":1585,"description":"FungiDB is an integrated genomic and functional genomic database for the kingdom Fungi. The database integrates whole genome sequence and annotation and also includes experimental and environmental isolate sequence data. The database includes comparative genomics, analysis of gene expression, and supplemental bioinformatics analyses and a web interface for data-mining.","abbreviation":"FungiDB","data_curation":{"url":"https://fungidb.org/fungidb/app/static-content/methods.html","type":"manual/automated"},"support_links":[{"url":"http://fungidb.org/fungidb/contact.do","type":"Contact form"},{"url":"https://www.genome.gov/glossary/","type":"Help documentation"},{"url":"http://fungidb.org/fungidb/showXmlDataContent.do?name=XmlQuestions.Glossary","type":"Help documentation"},{"url":"http://fungidb.org/fungidb/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Training documentation"},{"url":"https://www.youtube.com/user/EuPathDB/videos?sort=dd\u0026flow=list\u0026view=1","type":"Video"},{"url":"http://workshop.eupathdb.org/current/index.php?page=schedule","type":"Training documentation"},{"url":"https://twitter.com/fungidb","type":"Twitter"},{"url":"https://static-content.veupathdb.org//documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","name":"Submission and Release Policy","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://grna.ctegd.uga.edu/","name":"EuPaGDT"},{"url":"http://companion.gla.ac.uk/","name":"Companion"},{"url":"http://fungidb.org/fungidb/showQuestion.do?questionFullName=UniversalQuestions.UnifiedBlast","name":"blast"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011906","name":"re3data:r3d100011906","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006013","name":"SciCrunch:RRID:SCR_006013","portal":"SciCrunch"}],"data_access_condition":{"url":"https://fungidb.org/fungidb/app/static-content/about.html#about_use","type":"open","notes":"All data provided freely for public use"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"open","notes":"Deposition of in-scope data is open to all"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000040","bsg-d000040"],"name":"FAIRsharing record for: Fungal and Oomycete genomics resource","abbreviation":"FungiDB","url":"https://fairsharing.org/10.25504/FAIRsharing.xf30yc","doi":"10.25504/FAIRsharing.xf30yc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FungiDB is an integrated genomic and functional genomic database for the kingdom Fungi. The database integrates whole genome sequence and annotation and also includes experimental and environmental isolate sequence data. The database includes comparative genomics, analysis of gene expression, and supplemental bioinformatics analyses and a web interface for data-mining.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Citation","Protein domain","Gene name","DNA sequence data","Free text","Gene Ontology enrichment","Protein identification","Gene model annotation","Protein targeting","Protein localization","Genetic polymorphism","RNA sequencing","Phenotype","Crowdsourcing","Single nucleotide polymorphism","Orthologous"],"taxonomies":["Fungi","Oomycetes"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":798,"pubmed_id":27259951,"title":"Database whiplash, crowdsourcing, and FungiDB.","year":2016,"url":"http://doi.org/10.1016/j.fgb.2016.04.002","authors":"Momany M","journal":"Fungal Genet Biol","doi":"10.1016/j.fgb.2016.04.002","created_at":"2021-09-30T08:23:47.986Z","updated_at":"2021-09-30T08:23:47.986Z"},{"id":1364,"pubmed_id":22064857,"title":"FungiDB: an integrated functional genomics database for fungi.","year":2011,"url":"http://doi.org/10.1093/nar/gkr918","authors":"Stajich JE,Harris T,Brunk BP,Brestelli J,Fischer S,Harb OS,Kissinger JC,Li W,Nayak V,Pinney DF,Stoeckert CJ Jr,Roos DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr918","created_at":"2021-09-30T08:24:52.565Z","updated_at":"2021-09-30T11:29:07.101Z"},{"id":1375,"pubmed_id":24813190,"title":"Literature-based gene curation and proposed genetic nomenclature for cryptococcus.","year":2014,"url":"http://doi.org/10.1128/EC.00083-14","authors":"Inglis DO,Skrzypek MS,Liaw E,Moktali V,Sherlock G,Stajich JE","journal":"Eukaryot Cell","doi":"10.1128/EC.00083-14","created_at":"2021-09-30T08:24:53.793Z","updated_at":"2021-09-30T08:24:53.793Z"}],"licence_links":[],"grants":[{"id":137,"fairsharing_record_id":1585,"organisation_id":2944,"relation":"maintains","created_at":"2021-09-30T09:24:19.855Z","updated_at":"2021-09-30T09:24:19.855Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":138,"fairsharing_record_id":1585,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:19.894Z","updated_at":"2021-09-30T09:30:22.458Z","grant_id":681,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":135,"fairsharing_record_id":1585,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:24:19.779Z","updated_at":"2021-09-30T09:24:19.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":139,"fairsharing_record_id":1585,"organisation_id":2854,"relation":"maintains","created_at":"2021-09-30T09:24:19.921Z","updated_at":"2021-09-30T09:24:19.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":8058,"fairsharing_record_id":1585,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:30:41.586Z","updated_at":"2021-09-30T09:30:41.636Z","grant_id":825,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9984,"fairsharing_record_id":1585,"organisation_id":3549,"relation":"maintains","created_at":"2022-10-07T16:10:03.108Z","updated_at":"2022-10-07T16:10:03.108Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":136,"fairsharing_record_id":1585,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:24:19.817Z","updated_at":"2021-09-30T09:30:12.811Z","grant_id":601,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture, US Department of Agriculture","grant":"2011-68004-30104","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":134,"fairsharing_record_id":1585,"organisation_id":439,"relation":"maintains","created_at":"2021-09-30T09:24:19.747Z","updated_at":"2021-09-30T09:24:19.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":439,"name":"Center for Tropical \u0026 Emerging Global Diseases, University of Georgia, Athens, GA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":140,"fairsharing_record_id":1585,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:19.955Z","updated_at":"2021-09-30T09:30:47.467Z","grant_id":872,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R03 AI105636-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdE1CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--048955e2f717f7ca0ab389f1205af039315d6555/fungiDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1586","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:26.366Z","metadata":{"doi":"10.25504/FAIRsharing.556qpw","name":"FunTree: A Resource For Exploring The Functional Evolution Of Structurally Defined Enzyme Superfamilies","status":"ready","contacts":[{"contact_name":"Nick Furnham","contact_email":"Nick.Furnham@lshtm.ac.uk"}],"homepage":"http://www.funtree.info/FunTree/","citations":[],"identifier":1586,"description":"A resource for exploring the evolution of protein function through relationships in sequence, structure, phylogeny and function.","abbreviation":"FunTree","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://cpmb.lshtm.ac.uk/templates/FunTree_Docs.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000041","bsg-d000041"],"name":"FAIRsharing record for: FunTree: A Resource For Exploring The Functional Evolution Of Structurally Defined Enzyme Superfamilies","abbreviation":"FunTree","url":"https://fairsharing.org/10.25504/FAIRsharing.556qpw","doi":"10.25504/FAIRsharing.556qpw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A resource for exploring the evolution of protein function through relationships in sequence, structure, phylogeny and function.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12578}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenetics","Life Science"],"domains":["Protein structure","Function analysis","Evolution","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":1321,"pubmed_id":26590404,"title":"FunTree: advances in a resource for exploring and contextualising protein function evolution.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1274","authors":"Sillitoe I,Furnham N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1274","created_at":"2021-09-30T08:24:47.692Z","updated_at":"2021-09-30T11:29:06.043Z"},{"id":1528,"pubmed_id":22006843,"title":"FunTree: a resource for exploring the functional evolution of structurally defined enzyme superfamilies.","year":2011,"url":"http://doi.org/10.1093/nar/gkr852","authors":"Furnham N,Sillitoe I,Holliday GL,Cuff AL,Rahman SA,Laskowski RA,Orengo CA,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr852","created_at":"2021-09-30T08:25:11.049Z","updated_at":"2021-09-30T11:29:12.577Z"}],"licence_links":[],"grants":[{"id":145,"fairsharing_record_id":1586,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:20.216Z","updated_at":"2021-09-30T09:30:49.641Z","grant_id":889,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K020013/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":141,"fairsharing_record_id":1586,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:19.992Z","updated_at":"2021-09-30T09:29:51.678Z","grant_id":439,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"081989/Z/07/A","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":142,"fairsharing_record_id":1586,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:20.101Z","updated_at":"2021-09-30T09:30:16.821Z","grant_id":634,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"MR/K020420","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9239,"fairsharing_record_id":1586,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.642Z","updated_at":"2022-04-11T12:07:24.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9402,"fairsharing_record_id":1586,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.925Z","updated_at":"2022-04-11T12:07:35.942Z","grant_id":858,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-06CH11357","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1598","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:13.166Z","metadata":{"doi":"10.25504/FAIRsharing.ae956n","name":"Integrated Microbial Genomes And Microbiomes","status":"ready","contacts":[{"contact_name":"Victor M. Markowitz","contact_email":"VMMarkowitz@lbl.gov"}],"homepage":"http://img.jgi.doe.gov/cgi-bin/m/main.cgi","citations":[{"doi":"10.1093/nar/gky901","pubmed_id":30289528,"publication_id":3049}],"identifier":1598,"description":"The Integrated Microbial Genomes (IMG/M) aims to support the annotation, analysis and distribution of microbial genome and microbiome datasets sequenced at DOE's Joint Genome Institute (JGI). It also serves as a community resource for analysis and annotation of genome and metagenome datasets in a comprehensive comparative context. The IMG data warehouse integrates genome and metagenome datasets provided by IMG users with a set of publicly available genome and metagenome datasets. IMG/M is also open to scientists worldwide for the annotation, analysis, and distribution of their own genome and microbiome datasets, as long as they agree with the IMG/M data release policy and follow the metadata requirements for integrating data into IMG/M.","abbreviation":"IMG/M","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://img.jgi.doe.gov/cgi-bin/m/main.cgi?section=Questions","name":"Contact Form","type":"Contact form"},{"url":"https://img.jgi.doe.gov/docs/submission/","name":"Submission FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://img.jgi.doe.gov/docs/faq","name":"General FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/a/lbl.gov/g/img-user-forum","name":"IMG User Forum","type":"Forum"},{"url":"https://img.jgi.doe.gov/help.html","name":"Help","type":"Help documentation"},{"url":"https://img.jgi.doe.gov/docs/DownloadingIMGSequenceAndAnnotationData.pdf","name":"Download IMG Sequence \u0026 Annotation Data (PDF)","type":"Help documentation"},{"url":"https://img.jgi.doe.gov/docs/DownloadIMGgenesAnnotated.pdf","name":"Download IMG Genes Annotated with Specific Function (PDF)","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://jgi.doe.gov/data-and-tools/data-management-policy-practices-resources/","name":"More information"},"data_deposition_condition":{"url":"https://img.jgi.doe.gov/cgi-bin/submit/main.cgi","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000053","bsg-d000053"],"name":"FAIRsharing record for: Integrated Microbial Genomes And Microbiomes","abbreviation":"IMG/M","url":"https://fairsharing.org/10.25504/FAIRsharing.ae956n","doi":"10.25504/FAIRsharing.ae956n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Microbial Genomes (IMG/M) aims to support the annotation, analysis and distribution of microbial genome and microbiome datasets sequenced at DOE's Joint Genome Institute (JGI). It also serves as a community resource for analysis and annotation of genome and metagenome datasets in a comprehensive comparative context. The IMG data warehouse integrates genome and metagenome datasets provided by IMG users with a set of publicly available genome and metagenome datasets. IMG/M is also open to scientists worldwide for the annotation, analysis, and distribution of their own genome and microbiome datasets, as long as they agree with the IMG/M data release policy and follow the metadata requirements for integrating data into IMG/M.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12582}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metagenomics","Genomics","Comparative Genomics"],"domains":["Citation","Protein domain","DNA sequence data","Gene Ontology enrichment","Transmembrane protein prediction","Genome annotation","Protein cleavage site prediction","Computational biological predictions","Protein identification","Ribonucleic acid","Gene model annotation","Transport","Molecular interaction","Enzyme","Plasmid","Protein expression profiling","RNA sequencing","Phenotype","Pseudogene","Orthologous","Genome","Microbiome"],"taxonomies":["Archaea","Bacteria","Eukaryota","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1944,"pubmed_id":16873494,"title":"An experimental metagenome data management and analysis system.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl217","authors":"Markowitz VM., Ivanova N., Palaniappan K., Szeto E., Korzeniewski F., Lykidis A., Anderson I., Mavromatis K., Mavrommatis K., Kunin V., Garcia Martin H., Dubchak I., Hugenholtz P., Kyrpides NC.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl217","created_at":"2021-09-30T08:25:58.757Z","updated_at":"2021-09-30T08:25:58.757Z"},{"id":3049,"pubmed_id":30289528,"title":"IMG/M v.5.0: an integrated data management and comparative analysis system for microbial genomes and microbiomes.","year":2018,"url":"http://doi.org/10.1093/nar/gky901","authors":"Chen IA,Chu K,Palaniappan K,Pillay M,Ratner A,Huang J,Huntemann M,Varghese N,White JR,Seshadri R,Smirnova T,Kirton E,Jungbluth SP,Woyke T,Eloe-Fadrosh EA,Ivanova NN,Kyrpides NC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky901","created_at":"2021-09-30T08:28:15.729Z","updated_at":"2021-09-30T11:29:50.129Z"},{"id":3053,"pubmed_id":17932063,"title":"IMG/M: a data management and analysis system for metagenomes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm869","authors":"Markowitz VM., Ivanova NN., Szeto E., Palaniappan K., Chu K., Dalevi D., Chen IM., Grechkin Y., Dubchak I., Anderson I., Lykidis A., Mavromatis K., Hugenholtz P., Kyrpides NC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm869","created_at":"2021-09-30T08:28:16.199Z","updated_at":"2021-09-30T08:28:16.199Z"},{"id":3054,"pubmed_id":24165883,"title":"IMG 4 version of the integrated microbial genomes comparative analysis system.","year":2013,"url":"http://doi.org/10.1093/nar/gkt963","authors":"Markowitz VM,Chen IM,Palaniappan K,Chu K,Szeto E,Pillay M,Ratner A,Huang J,Woyke T,Huntemann M,Anderson I,Billis K,Varghese N,Mavromatis K,Pati A,Ivanova NN,Kyrpides NC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt963","created_at":"2021-09-30T08:28:16.347Z","updated_at":"2021-09-30T11:29:50.312Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1971,"relation":"undefined"},{"licence_name":"JGI Data Management Policy, Practices \u0026 Resources","licence_id":469,"licence_url":"https://jgi.doe.gov/data-and-tools/data-management-policy-practices-resources/","link_id":1970,"relation":"undefined"}],"grants":[{"id":4139,"fairsharing_record_id":1598,"organisation_id":2284,"relation":"collaborates_on","created_at":"2021-09-30T09:26:38.320Z","updated_at":"2022-09-21T21:02:10.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":2284,"name":"Pacific Northwest National Laboratory","types":["Government body","Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":4143,"fairsharing_record_id":1598,"organisation_id":1728,"relation":"collaborates_on","created_at":"2021-09-30T09:26:38.420Z","updated_at":"2022-09-21T21:06:35.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":4142,"fairsharing_record_id":1598,"organisation_id":2204,"relation":"collaborates_on","created_at":"2021-09-30T09:26:38.395Z","updated_at":"2022-09-21T21:06:35.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":2204,"name":"Oak Ridge National Laboratory, USA","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":174,"fairsharing_record_id":1598,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:24:21.268Z","updated_at":"2022-09-21T21:06:45.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9908,"fairsharing_record_id":1598,"organisation_id":3371,"relation":"collaborates_on","created_at":"2022-09-21T21:02:10.868Z","updated_at":"2022-09-21T21:02:10.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":3371,"name":"Environmental Molecular Sciences Laboratory","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":4141,"fairsharing_record_id":1598,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:26:38.371Z","updated_at":"2022-09-21T21:02:10.926Z","grant_id":null,"is_lead":true,"saved_state":{"id":1691,"name":"Berkeley Lab","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":8132,"fairsharing_record_id":1598,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:31:07.505Z","updated_at":"2022-09-21T21:02:11.155Z","grant_id":1028,"is_lead":false,"saved_state":{"id":2943,"name":"Office of Biological and Environmental Research","grant":"DE-AC02-05CH11231 (LBNL)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":176,"fairsharing_record_id":1598,"organisation_id":255,"relation":"collaborates_on","created_at":"2021-09-30T09:24:21.352Z","updated_at":"2022-09-21T21:06:35.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":255,"name":"Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, Berkeley, CA, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1578","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:42.707Z","metadata":{"doi":"10.25504/FAIRsharing.rj3kj5","name":"Eukaryotic Linear Motifs","status":"ready","contacts":[{"contact_name":"ELM feedback email","contact_email":"feedback@elm.eu.org"}],"homepage":"http://elm.eu.org","citations":[],"identifier":1578,"description":"This computational biology resource mainly focuses on annotation and detection of eukaryotic linear motifs (ELMs) by providing both a repository of annotated motif data and an exploratory tool for motif prediction. ELMs, or short linear motifs (SLiMs), are compact protein interaction sites composed of short stretches of adjacent amino acids.","abbreviation":"ELM","data_curation":{"url":"http://elm.eu.org/index.html","type":"manual","notes":"The ELM relational database stores different types of data about experimentally validated SLiMs that are manually curated from the literature."},"support_links":[{"url":"http://elm.eu.org/infos/help.html","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Eukaryotic_Linear_Motif_resource","type":"Wikipedia"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://elm.eu.org/combined_search?query=blast","name":"BLAST"},{"url":"http://elm.eu.org/elms/browse_instances.html","name":"Browse"},{"url":"http://elm.eu.org/search/","name":"Search"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"http://elm.eu.org/infos/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000033","bsg-d000033"],"name":"FAIRsharing record for: Eukaryotic Linear Motifs","abbreviation":"ELM","url":"https://fairsharing.org/10.25504/FAIRsharing.rj3kj5","doi":"10.25504/FAIRsharing.rj3kj5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This computational biology resource mainly focuses on annotation and detection of eukaryotic linear motifs (ELMs) by providing both a repository of annotated motif data and an exploratory tool for motif prediction. ELMs, or short linear motifs (SLiMs), are compact protein interaction sites composed of short stretches of adjacent amino acids.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12576}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Gene Ontology enrichment","Computational biological predictions","Protein interaction","Protein","Sequence motif"],"taxonomies":["Eukaryota"],"user_defined_tags":["Eukaryotic Linear Motif","Polypeptide motif","Short Linear Motif (SLiM)"],"countries":["Germany","European Union"],"publications":[{"id":46,"pubmed_id":12824381,"title":"ELM server: A new resource for investigating short functional sites in modular eukaryotic proteins.","year":2003,"url":"http://doi.org/10.1093/nar/gkg545","authors":"Puntervoll P. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg545","created_at":"2021-09-30T08:22:25.347Z","updated_at":"2021-09-30T08:22:25.347Z"},{"id":291,"pubmed_id":22110040,"title":"ELM--the database of eukaryotic linear motifs.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1064","authors":"Dinkel H. et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1064","created_at":"2021-09-30T08:22:51.330Z","updated_at":"2021-09-30T11:28:44.825Z"},{"id":1274,"pubmed_id":26615199,"title":"ELM 2016--data update and new functionality of the eukaryotic linear motif resource.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1291","authors":"Dinkel H,Van Roey K,Michael S,Kumar M,Uyar B,Altenberg B,Milchevskaya V,Schneider M,Kuhn H,Behrendt A,Dahl SL,Damerell V,Diebel S,Kalman S,Klein S,Knudsen AC,Mader C,Merrill S,Staudt A,Thiel V,Welti L,Davey NE,Diella F,Gibson TJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1291","created_at":"2021-09-30T08:24:42.247Z","updated_at":"2021-09-30T11:29:04.976Z"}],"licence_links":[{"licence_name":"ELM Academic License Agreement","licence_id":265,"licence_url":"http://elm.eu.org/media/Elm_academic_license.pdf","link_id":963,"relation":"undefined"}],"grants":[{"id":118,"fairsharing_record_id":1578,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:19.082Z","updated_at":"2021-09-30T09:29:37.387Z","grant_id":330,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"242129","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":114,"fairsharing_record_id":1578,"organisation_id":2994,"relation":"maintains","created_at":"2021-09-30T09:24:18.971Z","updated_at":"2021-09-30T09:24:18.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2994,"name":"Universitetet i Bergen","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":115,"fairsharing_record_id":1578,"organisation_id":403,"relation":"funds","created_at":"2021-09-30T09:24:19.004Z","updated_at":"2021-09-30T09:24:19.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":117,"fairsharing_record_id":1578,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:19.052Z","updated_at":"2021-09-30T09:24:19.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9216,"fairsharing_record_id":1578,"organisation_id":933,"relation":"funds","created_at":"2022-04-11T12:07:22.971Z","updated_at":"2022-04-11T12:07:22.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":933,"name":"European FP7 EMBRACE project","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1587","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:32.999Z","metadata":{"doi":"10.25504/FAIRsharing.hg2xzw","name":"GABI-Kat SimpleSearch","status":"deprecated","contacts":[{"contact_name":"Bernd Weisshaar","contact_email":"bernd.weisshaar@uni-bielefeld.de","contact_orcid":"0000-0002-7635-3473"}],"homepage":"http://www.gabi-kat.de/","identifier":1587,"description":"T-DNA insertions in Arabidopsis and their flanking sequence tags.","abbreviation":"GABI-Kat","data_curation":{"type":"not found"},"support_links":[{"url":"info@gabi-kat.de","type":"Support email"},{"url":"https://www.gabi-kat.de/faq.html","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available as mentioned on the homepage: 'The GABI-Kat confirmation service closed 2019-12-31.'","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000042","bsg-d000042"],"name":"FAIRsharing record for: GABI-Kat SimpleSearch","abbreviation":"GABI-Kat","url":"https://fairsharing.org/10.25504/FAIRsharing.hg2xzw","doi":"10.25504/FAIRsharing.hg2xzw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: T-DNA insertions in Arabidopsis and their flanking sequence tags.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12579}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome annotation","Classification","T-DNA insert exposure","Primer","Flanking region","Sequence tag","Insertion"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":["Flanking Sequence Tags (FST)","Insertion allele"],"countries":["Germany"],"publications":[{"id":74,"pubmed_id":18758448,"title":"T-DNA-mediated transfer of Agrobacterium tumefaciens chromosomal DNA into plants.","year":2008,"url":"http://doi.org/10.1038/nbt.1491","authors":"Ulker B., Li Y., Rosso MG., Logemann E., Somssich IE., Weisshaar B.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt.1491","created_at":"2021-09-30T08:22:28.147Z","updated_at":"2021-09-30T08:22:28.147Z"},{"id":75,"pubmed_id":17062622,"title":"GABI-Kat SimpleSearch: an Arabidopsis thaliana T-DNA mutant database with detailed information for confirmed insertions.","year":2006,"url":"http://doi.org/10.1093/nar/gkl753","authors":"Li Y., Rosso MG., Viehoever P., Weisshaar B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl753","created_at":"2021-09-30T08:22:28.238Z","updated_at":"2021-09-30T08:22:28.238Z"},{"id":76,"pubmed_id":14756321,"title":"An Arabidopsis thaliana T-DNA mutagenized population (GABI-Kat) for flanking sequence tag-based reverse genetics.","year":2004,"url":"http://doi.org/10.1023/B:PLAN.0000009297.37235.4a","authors":"Rosso MG., Li Y., Strizhov N., Reiss B., Dekker K., Weisshaar B.,","journal":"Plant Mol. Biol.","doi":"10.1023/B:PLAN.0000009297.37235.4a","created_at":"2021-09-30T08:22:28.380Z","updated_at":"2021-09-30T08:22:28.380Z"},{"id":78,"pubmed_id":16488113,"title":"Analysis of T-DNA insertion site distribution patterns in Arabidopsis thaliana reveals special features of genes without insertions.","year":2006,"url":"http://doi.org/10.1016/j.ygeno.2005.12.010","authors":"Li Y., Rosso MG., Ulker B., Weisshaar B.,","journal":"Genomics","doi":"10.1016/j.ygeno.2005.12.010","created_at":"2021-09-30T08:22:28.554Z","updated_at":"2021-09-30T08:22:28.554Z"},{"id":79,"pubmed_id":14682050,"title":"High-throughput generation of sequence indexes from T-DNA mutagenized Arabidopsis thaliana lines.","year":2003,"url":"http://doi.org/10.2144/03356st01","authors":"Strizhov N., Li Y., Rosso MG., Viehoever P., Dekker KA., Weisshaar B.,","journal":"BioTechniques","doi":"10.2144/03356st01","created_at":"2021-09-30T08:22:28.638Z","updated_at":"2021-09-30T08:22:28.638Z"},{"id":80,"pubmed_id":12874060,"title":"GABI-Kat SimpleSearch: a flanking sequence tag (FST) database for the identification of T-DNA insertion mutants in Arabidopsis thaliana.","year":2003,"url":"http://doi.org/10.1093/bioinformatics/btg170","authors":"Li Y., Rosso MG., Strizhov N., Viehoever P., Weisshaar B.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btg170","created_at":"2021-09-30T08:22:28.721Z","updated_at":"2021-09-30T08:22:28.721Z"},{"id":1451,"pubmed_id":22080561,"title":"GABI-Kat SimpleSearch: new features of the Arabidopsis thaliana T-DNA mutant database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1047","authors":"Kleinboelting N,Huep G,Kloetgen A,Viehoever P,Weisshaar B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1047","created_at":"2021-09-30T08:25:02.190Z","updated_at":"2021-09-30T11:29:08.693Z"}],"licence_links":[],"grants":[{"id":147,"fairsharing_record_id":1587,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:24:20.343Z","updated_at":"2021-09-30T09:31:35.443Z","grant_id":1238,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"Förderkennzeichen 0313855","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1761","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:41:07.181Z","metadata":{"doi":"10.25504/FAIRsharing.efwq12","name":"UK Stem Cell Bank","status":"ready","contacts":[{"contact_name":"Lyn Healy","contact_email":"lhealy@nibsc.ac.uk"}],"homepage":"https://www.nibsc.org/ukstemcellbank","identifier":1761,"description":"The UK Stem Cell Bank (UKSCB) facilitates the use and sharing of quality-controlled stem cell lines to support scientific research and clinical development of stem cell therapies. The work of the UK Stem Cell Bank covers three main areas: banking for all UK-derived human embryonic stem cell lines, research in the standardisation, quality and safety of human pluripotent stem cell (hPSC)-based products, and regulation regarding international best practice, policies and guidelines relating to stem cell use and regulation around the world.","abbreviation":"UKSCB","data_curation":{"type":"not found"},"support_links":[{"url":"enquiries@ukstemcellbank.org.uk","name":"General Enquiries","type":"Support email"},{"url":"http://www.nibsc.org/science_and_research/advanced_therapies/uk_stem_cell_bank/policies_guidelines_and_due_diligence.aspx","name":"Policies, Guidelines and Due Diligence","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","data_access_condition":{"url":"https://www.nibsc.org/science_and_research/advanced_therapies/uk_stem_cell_bank/apply_for_cell_lines.aspx","type":"controlled","notes":"Application forms must be sent to the UK Steering Committee."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.nibsc.org/science_and_research/advanced_therapies/uk_stem_cell_bank/application_forms.aspx","type":"controlled","notes":"Several deposition procedures are described depending on the type of stem cell lines."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000219","bsg-d000219"],"name":"FAIRsharing record for: UK Stem Cell Bank","abbreviation":"UKSCB","url":"https://fairsharing.org/10.25504/FAIRsharing.efwq12","doi":"10.25504/FAIRsharing.efwq12","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Stem Cell Bank (UKSCB) facilitates the use and sharing of quality-controlled stem cell lines to support scientific research and clinical development of stem cell therapies. The work of the UK Stem Cell Bank covers three main areas: banking for all UK-derived human embryonic stem cell lines, research in the standardisation, quality and safety of human pluripotent stem cell (hPSC)-based products, and regulation regarding international best practice, policies and guidelines relating to stem cell use and regulation around the world.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12625}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Preclinical Studies"],"domains":["Stem cell","Study design"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":441,"pubmed_id":16290151,"title":"The UK Stem Cell Bank: its role as a public research resource centre providing access to well-characterised seed stocks of human stem cell lines.","year":2005,"url":"http://doi.org/10.1016/j.addr.2005.07.019","authors":"Healy L., Hunt C., Young L., Stacey G.,","journal":"Adv. Drug Deliv. Rev.","doi":"10.1016/j.addr.2005.07.019","created_at":"2021-09-30T08:23:07.883Z","updated_at":"2021-09-30T08:23:07.883Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2331,"relation":"undefined"}],"grants":[{"id":688,"fairsharing_record_id":1761,"organisation_id":2001,"relation":"maintains","created_at":"2021-09-30T09:24:40.431Z","updated_at":"2021-09-30T09:24:40.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":2001,"name":"National Institute for Biological Standards and Control (NIBSC), Potters Bar, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":689,"fairsharing_record_id":1761,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:40.455Z","updated_at":"2021-09-30T09:24:40.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1762","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T15:21:38.173Z","metadata":{"doi":"10.25504/FAIRsharing.rwd4wq","name":"cis-Regulatory Element Database","status":"deprecated","contacts":[{"contact_name":"General enquiries","contact_email":"cisred@bcgsc.ca"}],"homepage":"http://www.cisred.org/","citations":[],"identifier":1762,"description":"The cisRED database holds conserved sequence motifs identified by genome scale motif discovery, similarity, clustering, co-occurrence and coexpression calculations. Sequence inputs include low-coverage genome sequence data and ENCODE data.","abbreviation":"cisRED","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cisred.org/content/methods/help/","type":"Help documentation"},{"url":"http://www.cisred.org/content/databases_methods/schema/","type":"Help documentation"},{"url":"http://www.cisred.org/content/databases_methods/method/","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010619","name":"re3data:r3d100010619","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002098","name":"SciCrunch:RRID:SCR_002098","portal":"SciCrunch"}],"deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000220","bsg-d000220"],"name":"FAIRsharing record for: cis-Regulatory Element Database","abbreviation":"cisRED","url":"https://fairsharing.org/10.25504/FAIRsharing.rwd4wq","doi":"10.25504/FAIRsharing.rwd4wq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The cisRED database holds conserved sequence motifs identified by genome scale motif discovery, similarity, clustering, co-occurrence and coexpression calculations. Sequence inputs include low-coverage genome sequence data and ENCODE data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Biological regulation","Genome"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":296,"pubmed_id":16381958,"title":"cisRED: a database system for genome-scale computational discovery of regulatory elements.","year":2005,"url":"http://doi.org/10.1093/nar/gkj075","authors":"Robertson G., Bilenky M., Lin K., He A., Yuen W., Dagpinar M., Varhol R., Teague K., Griffith OL., Zhang X., Pan Y., Hassel M., Sleumer MC., Pan W., Pleasance ED., Chuang M., Hao H., Li YY., Robertson N., Fjell C., Li B., Montgomery SB., Astakhova T., Zhou J., Sander J., Siddiqui AS., Jones SJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj075","created_at":"2021-09-30T08:22:51.907Z","updated_at":"2021-09-30T08:22:51.907Z"}],"licence_links":[],"grants":[{"id":691,"fairsharing_record_id":1762,"organisation_id":1111,"relation":"funds","created_at":"2021-09-30T09:24:40.504Z","updated_at":"2021-09-30T09:24:40.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":690,"fairsharing_record_id":1762,"organisation_id":186,"relation":"funds","created_at":"2021-09-30T09:24:40.480Z","updated_at":"2021-09-30T09:24:40.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":186,"name":"BC Cancer Foundation, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":692,"fairsharing_record_id":1762,"organisation_id":1829,"relation":"funds","created_at":"2021-09-30T09:24:40.545Z","updated_at":"2021-09-30T09:24:40.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":1829,"name":"Michael Smith Foundation for Health Research, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":693,"fairsharing_record_id":1762,"organisation_id":185,"relation":"maintains","created_at":"2021-09-30T09:24:40.583Z","updated_at":"2021-09-30T09:24:40.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":185,"name":"BC Cancer Agency, Canada","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1763","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:25.205Z","metadata":{"doi":"10.25504/FAIRsharing.gk7nfn","name":"Beijing Genomics Institute Rice Information System","status":"deprecated","contacts":[{"contact_name":"Jun Wang","contact_email":"wangj@genomics.org.cn"}],"homepage":"http://rise.genomics.org.cn/","identifier":1763,"description":"In BGI-RIS, sequence contigs of Beijing indica and Syngenta japonica have been further assembled and anchored onto the rice chromosomes. The database has annotated the rice genomes for gene content, repetitive elements, and SNPs. Sequence polymorphisms between different rice subspecies have also been identified.","abbreviation":"BGI-RIS","data_curation":{"type":"not found"},"support_links":[{"url":"rise@genomics.org.cn","type":"Support email"},{"url":"http://rice.genomics.org.cn/rice/doc/help/help.jsp","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://rice.genomics.org.cn/rice2/jsp/blast/blast.jsp","name":"BLAST"},{"url":"http://rice.genomics.org.cn/rice/link/ts.jsp","name":"analyze"},{"url":"http://rice.genomics.org.cn/rice/link/mv.jsp","name":"visualize"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000221","bsg-d000221"],"name":"FAIRsharing record for: Beijing Genomics Institute Rice Information System","abbreviation":"BGI-RIS","url":"https://fairsharing.org/10.25504/FAIRsharing.gk7nfn","doi":"10.25504/FAIRsharing.gk7nfn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In BGI-RIS, sequence contigs of Beijing indica and Syngenta japonica have been further assembled and anchored onto the rice chromosomes. The database has annotated the rice genomes for gene content, repetitive elements, and SNPs. Sequence polymorphisms between different rice subspecies have also been identified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Biological regulation","Single nucleotide polymorphism"],"taxonomies":["Oryza sativa L. ssp. Indica","Oryza sativa L. ssp. japonica"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":290,"pubmed_id":14681438,"title":"BGI-RIS: an integrated information resource and comparative analysis workbench for rice genomics.","year":2003,"url":"http://doi.org/10.1093/nar/gkh085","authors":"Zhao W., Wang J., He X., Huang X., Jiao Y., Dai M., Wei S., Fu J., Chen Y., Ren X., Zhang Y., Ni P., Zhang J., Li S., Wang J., Wong GK., Zhao H., Yu J., Yang H., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh085","created_at":"2021-09-30T08:22:51.232Z","updated_at":"2021-09-30T08:22:51.232Z"}],"licence_links":[],"grants":[{"id":694,"fairsharing_record_id":1763,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.628Z","updated_at":"2021-09-30T09:24:40.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":695,"fairsharing_record_id":1763,"organisation_id":510,"relation":"funds","created_at":"2021-09-30T09:24:40.670Z","updated_at":"2021-09-30T09:24:40.670Z","grant_id":null,"is_lead":false,"saved_state":{"id":510,"name":"China National Grid Project, Beijing, China","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1764","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:57:35.254Z","metadata":{"doi":"10.25504/FAIRsharing.d4q4g2","name":"Chicken Variation Database","status":"deprecated","contacts":[{"contact_name":"General enquiries","contact_email":"ChickVD@genomics.org.cn"}],"homepage":"http://chicken.genomics.org.cn","identifier":1764,"description":"The chicken Variation Database (ChickVD) is an integrated information system for storage, retrieval, visualization and analysis of chicken variation data.","abbreviation":"ChickVD","data_curation":{"type":"not found"},"support_links":[{"url":"http://chicken.genomics.org.cn/chicken/jsp/help.jsp","type":"Help documentation"},{"url":"http://chicken.genomics.org.cn/chicken/jsp/chickvd.format.readme.txt","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://chicken.genomics.org.cn/chicken/jsp/search.jsp","name":"search"},{"url":"http://chicken.genomics.org.cn/chicken/jsp/search.jsp","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by the China National GeneBank DataBase and this particular data can now be found at https://db.cngb.org/search/project/CNPhis0000539","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000222","bsg-d000222"],"name":"FAIRsharing record for: Chicken Variation Database","abbreviation":"ChickVD","url":"https://fairsharing.org/10.25504/FAIRsharing.d4q4g2","doi":"10.25504/FAIRsharing.d4q4g2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The chicken Variation Database (ChickVD) is an integrated information system for storage, retrieval, visualization and analysis of chicken variation data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism","Genome"],"taxonomies":["Gallus gallus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":284,"pubmed_id":15608233,"title":"ChickVD: a sequence variation database for the chicken genome.","year":2004,"url":"http://doi.org/10.1093/nar/gki092","authors":"Wang J., He X., Ruan J., Dai M., Chen J., Zhang Y., Hu Y., Ye C., Li S., Cong L., Fang L., Liu B., Li S., Wang J., Burt DW., Wong GK., Yu J., Yang H., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki092","created_at":"2021-09-30T08:22:50.624Z","updated_at":"2021-09-30T08:22:50.624Z"}],"licence_links":[],"grants":[{"id":697,"fairsharing_record_id":1764,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.787Z","updated_at":"2021-09-30T09:24:40.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":696,"fairsharing_record_id":1764,"organisation_id":510,"relation":"funds","created_at":"2021-09-30T09:24:40.708Z","updated_at":"2021-09-30T09:31:25.335Z","grant_id":1162,"is_lead":false,"saved_state":{"id":510,"name":"China National Grid Project, Beijing, China","grant":"2002AA104250","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1765","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:20:05.147Z","metadata":{"doi":"10.25504/FAIRsharing.nmavtd","name":"Influenza Virus Database","status":"deprecated","contacts":[{"contact_name":"Wang Jing","contact_email":"wangjing@genomics.org.cn"}],"homepage":"http://influenza.psych.ac.cn/","identifier":1765,"description":"IVDB hosts complete genome sequences of influenza A virus generated by BGI and curates all other published influenza virus sequences after expert annotations. IVDB provides a series of tools and viewers for analyzing the viral genomes, genes, genetic polymorphisms and phylogenetic relationships comparatively.","abbreviation":"IVDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://influenza.psych.ac.cn/help/Help.jsp","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://influenza.psych.ac.cn/tools/blast/blastall.jsp","name":"BLAST"},{"url":"http://influenza.psych.ac.cn/tools/Tools.jsp","name":"analyze"}],"deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000223","bsg-d000223"],"name":"FAIRsharing record for: Influenza Virus Database","abbreviation":"IVDB","url":"https://fairsharing.org/10.25504/FAIRsharing.nmavtd","doi":"10.25504/FAIRsharing.nmavtd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IVDB hosts complete genome sequences of influenza A virus generated by BGI and curates all other published influenza virus sequences after expert annotations. IVDB provides a series of tools and viewers for analyzing the viral genomes, genes, genetic polymorphisms and phylogenetic relationships comparatively.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Gene","Genome"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1585,"pubmed_id":17065465,"title":"Influenza Virus Database (IVDB): an integrated information resource and analysis platform for influenza virus research.","year":2006,"url":"http://doi.org/10.1093/nar/gkl779","authors":"Chang S,Zhang J,Liao X,Zhu X,Wang D,Zhu J,Feng T,Zhu B,Gao GF,Wang J,Yang H,Yu J,Wang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl779","created_at":"2021-09-30T08:25:17.658Z","updated_at":"2021-09-30T11:29:14.803Z"}],"licence_links":[],"grants":[{"id":698,"fairsharing_record_id":1765,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.825Z","updated_at":"2021-09-30T09:24:40.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":699,"fairsharing_record_id":1765,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:40.862Z","updated_at":"2021-09-30T09:28:55.267Z","grant_id":16,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2005CB523001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1782","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:24:01.440Z","metadata":{"doi":"10.25504/FAIRsharing.mcrd3t","name":"Human-Transcriptome Database for Alternative Splicing","status":"deprecated","contacts":[{"contact_email":"hinvdb@ml.u-tokai.ac.jp"}],"homepage":"http://h-invitational.jp/h-dbas/","identifier":1782,"description":"H-DBAS offers unique data and viewer for human Alternative Splicing (AS) analysis including genome-wide representative alternative splicing variants (RASVs), RASVs affecting protein functions, conserved RASVs compared with mouse genome (full length cDNAs).","abbreviation":"H-DBAS","data_curation":{"type":"not found"},"support_links":[{"url":"http://jbirc.jbic.or.jp/h-dbas/document/H-DBAS_manual.pdf","type":"Help documentation"},{"url":"http://www.youtube.com/watch?v=IbXHqZD776Y","type":"Video"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2015-09-01","deprecation_reason":"This database is no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000241","bsg-d000241"],"name":"FAIRsharing record for: Human-Transcriptome Database for Alternative Splicing","abbreviation":"H-DBAS","url":"https://fairsharing.org/10.25504/FAIRsharing.mcrd3t","doi":"10.25504/FAIRsharing.mcrd3t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: H-DBAS offers unique data and viewer for human Alternative Splicing (AS) analysis including genome-wide representative alternative splicing variants (RASVs), RASVs affecting protein functions, conserved RASVs compared with mouse genome (full length cDNAs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","Germany","Japan"],"publications":[{"id":311,"pubmed_id":17130147,"title":"H-DBAS: alternative splicing database of completely sequenced and manually annotated full-length cDNAs based on H-Invitational.","year":2006,"url":"http://doi.org/10.1093/nar/gkl854","authors":"Takeda J., Suzuki Y., Nakao M., Kuroda T., Sugano S., Gojobori T., Imanishi T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl854","created_at":"2021-09-30T08:22:53.399Z","updated_at":"2021-09-30T08:22:53.399Z"},{"id":312,"pubmed_id":19969536,"title":"H-DBAS: human-transcriptome database for alternative splicing: update 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp984","authors":"Takeda J., Suzuki Y., Sakate R., Sato Y., Gojobori T., Imanishi T., Sugano S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp984","created_at":"2021-09-30T08:22:53.490Z","updated_at":"2021-09-30T08:22:53.490Z"}],"licence_links":[],"grants":[{"id":749,"fairsharing_record_id":1782,"organisation_id":1889,"relation":"funds","created_at":"2021-09-30T09:24:42.631Z","updated_at":"2021-09-30T09:24:42.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":1889,"name":"Molecular Profiling Research Centre for Drug Discovery (molprof), Tokyo, Japan","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":748,"fairsharing_record_id":1782,"organisation_id":266,"relation":"maintains","created_at":"2021-09-30T09:24:42.547Z","updated_at":"2021-09-30T09:24:42.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":266,"name":"Biomedical Informatics Laboratory, Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":750,"fairsharing_record_id":1782,"organisation_id":2007,"relation":"maintains","created_at":"2021-09-30T09:24:42.668Z","updated_at":"2021-09-30T09:24:42.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1783","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:55.886Z","metadata":{"doi":"10.25504/FAIRsharing.k6vsdr","name":"Database of MHC Ligands and Peptide Motifs","status":"ready","contacts":[{"contact_name":"Stefan Stevanovic","contact_email":"stefan.stevanovic@uni-tuebingen.de"}],"homepage":"http://www.syfpeithi.de/","identifier":1783,"description":"SYFPEITHI is a database comprising more than 7000 peptide sequences known to bind class I and class II MHC molecules.","abbreviation":"SYFPEITHI","data_curation":{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm#scores","type":"automated"},"support_links":[{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","data_access_condition":{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm","type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm#Submitting%20new%20MHC%20Motifs,%20ligands%20and%20T-cell","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000243","bsg-d000243"],"name":"FAIRsharing record for: Database of MHC Ligands and Peptide Motifs","abbreviation":"SYFPEITHI","url":"https://fairsharing.org/10.25504/FAIRsharing.k6vsdr","doi":"10.25504/FAIRsharing.k6vsdr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SYFPEITHI is a database comprising more than 7000 peptide sequences known to bind class I and class II MHC molecules.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Small molecule","Major histocompatibility complex","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":318,"pubmed_id":10602881,"title":"SYFPEITHI: database for MHC ligands and peptide motifs.","year":1999,"url":"http://doi.org/10.1007/s002510050595","authors":"Rammensee H., Bachmann J., Emmerich NP., Bachor OA., Stevanović S.,","journal":"Immunogenetics","doi":"10.1007/s002510050595","created_at":"2021-09-30T08:22:54.107Z","updated_at":"2021-09-30T08:22:54.107Z"}],"licence_links":[],"grants":[{"id":751,"fairsharing_record_id":1783,"organisation_id":3134,"relation":"maintains","created_at":"2021-09-30T09:24:42.700Z","updated_at":"2021-09-30T09:24:42.700Z","grant_id":null,"is_lead":false,"saved_state":{"id":3134,"name":"University of Tbingen, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":752,"fairsharing_record_id":1783,"organisation_id":723,"relation":"maintains","created_at":"2021-09-30T09:24:42.724Z","updated_at":"2021-09-30T09:24:42.724Z","grant_id":null,"is_lead":false,"saved_state":{"id":723,"name":"Department of Medical Informatics, Institute of Medical Biometry und Informatics, Heidelberg University, Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1784","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:22:27.304Z","metadata":{"doi":"10.25504/FAIRsharing.4zw0d9","name":"Cnidarian Evolutionary Genomics Database","status":"deprecated","contacts":[{"contact_name":"J Fryan","contact_email":"jfryan@bu.edu"}],"homepage":"http://cnidbase.com/index.cgi","identifier":1784,"description":"CnidBase, the Cnidarian Evolutionary Genomics Database, is a tool for investigating the evolutionary, developmental and ecological factors that affect gene expression and gene function in cnidarians.","abbreviation":"CnidBase","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://cnidbase.com/blast/","name":"BLAST"}],"deprecation_date":"2021-9-19","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000244","bsg-d000244"],"name":"FAIRsharing record for: Cnidarian Evolutionary Genomics Database","abbreviation":"CnidBase","url":"https://fairsharing.org/10.25504/FAIRsharing.4zw0d9","doi":"10.25504/FAIRsharing.4zw0d9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CnidBase, the Cnidarian Evolutionary Genomics Database, is a tool for investigating the evolutionary, developmental and ecological factors that affect gene expression and gene function in cnidarians.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Evolutionary Biology","Life Science"],"domains":["Sequence similarity","Expression data","DNA sequence data","Evolution","Gene","Amino acid sequence","Genome"],"taxonomies":["Cnidaria"],"user_defined_tags":["Evolutionary relationship between proteins via sequence similarity"],"countries":["United States"],"publications":[{"id":799,"pubmed_id":12519972,"title":"CnidBase: The Cnidarian Evolutionary Genomics Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg116","authors":"Ryan JF., Finnerty JR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg116","created_at":"2021-09-30T08:23:48.095Z","updated_at":"2021-09-30T08:23:48.095Z"}],"licence_links":[],"grants":[{"id":753,"fairsharing_record_id":1784,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:24:42.750Z","updated_at":"2021-09-30T09:24:42.750Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1785","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:11:26.811Z","metadata":{"doi":"10.25504/FAIRsharing.72qwj0","name":"StellaBase","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"cnidteam@gmail.com"}],"homepage":"http://stellabase.org","identifier":1785,"description":"StellaBase is the Nematostella vectensis genomics database.","abbreviation":"StellaBase","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://nematostella.bu.edu/stellabase/blast/blast_cs.html","name":"BLAST"}],"deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000245","bsg-d000245"],"name":"FAIRsharing record for: StellaBase","abbreviation":"StellaBase","url":"https://fairsharing.org/10.25504/FAIRsharing.72qwj0","doi":"10.25504/FAIRsharing.72qwj0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: StellaBase is the Nematostella vectensis genomics database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Expression data","DNA sequence data","Gene","Genome"],"taxonomies":["Nematostella vectensis"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":836,"pubmed_id":16381919,"title":"StellaBase: the Nematostella vectensis Genomics Database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj020","authors":"Sullivan JC., Ryan JF., Watson JA., Webb J., Mullikin JC., Rokhsar D., Finnerty JR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj020","created_at":"2021-09-30T08:23:52.271Z","updated_at":"2021-09-30T08:23:52.271Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":229,"relation":"undefined"}],"grants":[{"id":755,"fairsharing_record_id":1785,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:42.813Z","updated_at":"2021-09-30T09:32:26.379Z","grant_id":1620,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IBN-0212773","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":754,"fairsharing_record_id":1785,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:24:42.777Z","updated_at":"2021-09-30T09:24:42.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1786","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-08T11:04:07.183Z","metadata":{"doi":"10.25504/FAIRsharing.9fz3g3","name":"Tandem Repeats Database","status":"deprecated","contacts":[{"contact_name":"Gary Benson","contact_email":"gbenson@bu.edu"}],"homepage":"http://tandem.bu.edu/cgi-bin/trdb/trdb.exe","citations":[],"identifier":1786,"description":"Tandem Repeats Database (TRDB) is a public repository of information on tandem repeats in genomic DNA and contains a variety of tools for their analysis.","abbreviation":"TRDB","data_curation":{"type":"not found"},"support_links":[{"url":"ygelfand@bu.edu","type":"Support email"},{"url":"http://tandem.bu.edu/cgi-bin/trdb/trdb.exe?taskid=13","type":"Frequently Asked Questions (FAQs)"},{"url":"http://tandem.bu.edu/cgi-bin/trdb/trdb.exe?taskid=30","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","deprecation_date":"2024-07-08","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000246","bsg-d000246"],"name":"FAIRsharing record for: Tandem Repeats Database","abbreviation":"TRDB","url":"https://fairsharing.org/10.25504/FAIRsharing.9fz3g3","doi":"10.25504/FAIRsharing.9fz3g3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Tandem Repeats Database (TRDB) is a public repository of information on tandem repeats in genomic DNA and contains a variety of tools for their analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Tandem repeat"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":261,"pubmed_id":17175540,"title":"TRDB--the Tandem Repeats Database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1013","authors":"Gelfand Y., Rodriguez A., Benson G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1013","created_at":"2021-09-30T08:22:48.191Z","updated_at":"2021-09-30T08:22:48.191Z"}],"licence_links":[{"licence_name":"TRDB Login required for access","licence_id":792,"licence_url":"https://tandem.bu.edu/cgi-bin/trdb/trdb.exe","link_id":263,"relation":"undefined"}],"grants":[{"id":757,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:42.889Z","updated_at":"2021-09-30T09:29:17.969Z","grant_id":184,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0413462","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8328,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:06.618Z","updated_at":"2021-09-30T09:32:06.666Z","grant_id":1473,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0090789","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8443,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:39.793Z","updated_at":"2021-09-30T09:32:39.847Z","grant_id":1723,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"CCR-0073081","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":756,"fairsharing_record_id":1786,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:24:42.852Z","updated_at":"2021-09-30T09:24:42.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8314,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:02.116Z","updated_at":"2021-09-30T09:32:02.162Z","grant_id":1438,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IIS-0612153","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1787","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:08.796Z","metadata":{"doi":"10.25504/FAIRsharing.bgm0mm","name":"Database of Liver Expression Profile","status":"deprecated","contacts":[{"contact_email":"zhuyp@hupo.org.cn"}],"homepage":"http://dblep.hupo.org.cn","citations":[],"identifier":1787,"description":"With the rapid progress of the HLPP (Human Liver Proteome Project), a massive quantity of liver proteome expression profile data has been generated. To manage the valuable resource effectively and present it for researchers, a web-based database of liver proteome expression profile named dbLEP has been developed. Currently dbLEP holds two datasets of human fetal liver and HLPP French liver with approximately 17247 proteins and 36990 peptides. Other datasets, such as HLPP Chinese liver and subcellula, C57 mouse liver subcellula will be online soon. Both non-redundant proteins and all possible proteins are presented so that users could understand each dataset comprehensively. Besides the complete identification, dbLEP provides related information like mass spectrums for users to verify the confidence.","abbreviation":"dbLEP","data_curation":{"type":"not found"},"support_links":[{"url":"http://hlpic.hupo.org.cn/dblep/faq.jsf","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.oxfordjournals.org/our_journals/nar/database/summary/1170","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-12-06","deprecation_reason":"This homepage for this resource is no longer valid, and an updated homepage cannot be found. Please let us know if you have any information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000247","bsg-d000247"],"name":"FAIRsharing record for: Database of Liver Expression Profile","abbreviation":"dbLEP","url":"https://fairsharing.org/10.25504/FAIRsharing.bgm0mm","doi":"10.25504/FAIRsharing.bgm0mm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: With the rapid progress of the HLPP (Human Liver Proteome Project), a massive quantity of liver proteome expression profile data has been generated. To manage the valuable resource effectively and present it for researchers, a web-based database of liver proteome expression profile named dbLEP has been developed. Currently dbLEP holds two datasets of human fetal liver and HLPP French liver with approximately 17247 proteins and 36990 peptides. Other datasets, such as HLPP Chinese liver and subcellula, C57 mouse liver subcellula will be online soon. Both non-redundant proteins and all possible proteins are presented so that users could understand each dataset comprehensively. Besides the complete identification, dbLEP provides related information like mass spectrums for users to verify the confidence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Biomedical Science"],"domains":["Mass spectrum","Protein expression profiling","Protein","Liver"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":760,"fairsharing_record_id":1787,"organisation_id":193,"relation":"maintains","created_at":"2021-09-30T09:24:43.031Z","updated_at":"2021-09-30T09:24:43.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":193,"name":"Beijing Proteome Research Centre, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":758,"fairsharing_record_id":1787,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:42.931Z","updated_at":"2021-09-30T09:30:36.991Z","grant_id":791,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2006CB910803","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":761,"fairsharing_record_id":1787,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:43.072Z","updated_at":"2021-09-30T09:30:46.030Z","grant_id":859,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30621063","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":759,"fairsharing_record_id":1787,"organisation_id":192,"relation":"funds","created_at":"2021-09-30T09:24:42.989Z","updated_at":"2021-09-30T09:31:34.041Z","grant_id":1228,"is_lead":false,"saved_state":{"id":192,"name":"Beijing Municipal Science \u0026 Technology Commission, (BMSTC), China","grant":"H030230280590","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1777","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:01.521Z","metadata":{"doi":"10.25504/FAIRsharing.pep8cs","name":"Ciona intestinalis Protein Database","status":"deprecated","contacts":[{"contact_name":"Toshinori Endo","contact_email":"endo@ibio.jp"}],"homepage":"http://cipro.ibio.jp/current/","identifier":1777,"description":"CIPRO is an integrated protein that has been developed to provide widespread information of the proteins expressed in the ascidian Ciona intestinalis, especially for the researcher who wants to get advance and useful information for starting biological and biomedical research. The protein information in CIPRO directly links to gene expression, a tool for peptide mass fingerprinting (PMF), intracellular localization, 3D image of early development, and transgenic resources.","abbreviation":"CIPRO","data_curation":{"type":"not found"},"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://cipro.ibio.jp/2.0/#SEARCH","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000236","bsg-d000236"],"name":"FAIRsharing record for: Ciona intestinalis Protein Database","abbreviation":"CIPRO","url":"https://fairsharing.org/10.25504/FAIRsharing.pep8cs","doi":"10.25504/FAIRsharing.pep8cs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CIPRO is an integrated protein that has been developed to provide widespread information of the proteins expressed in the ascidian Ciona intestinalis, especially for the researcher who wants to get advance and useful information for starting biological and biomedical research. The protein information in CIPRO directly links to gene expression, a tool for peptide mass fingerprinting (PMF), intracellular localization, 3D image of early development, and transgenic resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Ciona intestinalis"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":309,"pubmed_id":21071393,"title":"CIPRO 2.5: Ciona intestinalis protein database, a unique integrated repository of large-scale omics data, bioinformatic analyses and curated annotation, with user rating and reviewing functionality.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1144","authors":"Endo T., Ueno K., Yonezawa K., Mineta K., Hotta K., Satou Y., Yamada L., Ogasawara M., Takahashi H., Nakajima A., Nakachi M., Nomura M., Yaguchi J., Sasakura Y., Yamasaki C., Sera M., Yoshizawa AC., Imanishi T., Taniguchi H., Inaba K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1144","created_at":"2021-09-30T08:22:53.207Z","updated_at":"2021-09-30T08:22:53.207Z"}],"licence_links":[],"grants":[{"id":732,"fairsharing_record_id":1777,"organisation_id":2561,"relation":"maintains","created_at":"2021-09-30T09:24:41.949Z","updated_at":"2021-09-30T09:24:41.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":2561,"name":"Shimoda Marine Research Center, University of Tsukuba","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":734,"fairsharing_record_id":1777,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:24:42.001Z","updated_at":"2021-09-30T09:24:42.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":733,"fairsharing_record_id":1777,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:24:41.972Z","updated_at":"2021-09-30T09:24:41.972Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":736,"fairsharing_record_id":1777,"organisation_id":1256,"relation":"maintains","created_at":"2021-09-30T09:24:42.079Z","updated_at":"2021-09-30T09:24:42.079Z","grant_id":null,"is_lead":false,"saved_state":{"id":1256,"name":"Hokkaido University, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11524,"fairsharing_record_id":1777,"organisation_id":1378,"relation":"funds","created_at":"2024-03-21T13:58:01.370Z","updated_at":"2024-03-21T13:58:01.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":1378,"name":"Institute for Bioinformatics Research and Development, Japan Science and Technology Agency","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1778","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:04.122Z","metadata":{"doi":"10.25504/FAIRsharing.2c45na","name":"PRODORIC","status":"ready","contacts":[{"contact_name":"Christian-Alexander Dudek","contact_email":"c.dudek@tu-braunschweig.de","contact_orcid":"0000-0001-9117-7909"}],"homepage":"https://www.prodoric.de/","citations":[],"identifier":1778,"description":"PRODORIC is a comprehensive database about gene regulation and gene expression in prokaryotes. It includes a manually curated and unique collection of transcription factor binding sites.","abbreviation":null,"data_curation":{"url":"https://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"manual","notes":"It includes a manually curated and unique collection of transcription factor binding sites."},"support_links":[{"url":"https://www.prodoric.de/about.html","name":"About","type":"Other"},{"url":"https://www.prodoric.de/","type":"Blog/News"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"https://www.prodoric.de/vfp/","name":"Virtual Footprint 3.0"},{"url":"http://www.jcat.de","name":"JCat"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"controlled","notes":"A guide to the INNATEDB submission system"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000237","bsg-d000237"],"name":"FAIRsharing record for: PRODORIC","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2c45na","doi":"10.25504/FAIRsharing.2c45na","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRODORIC is a comprehensive database about gene regulation and gene expression in prokaryotes. It includes a manually curated and unique collection of transcription factor binding sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Biological regulation","Protein","Gene"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":308,"pubmed_id":12519998,"title":"PRODORIC: prokaryotic database of gene regulation.","year":2003,"url":"http://doi.org/10.1093/nar/gkg037","authors":"Münch R., Hiller K., Barg H., Heldt D., Linz S., Wingender E., Jahn D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg037","created_at":"2021-09-30T08:22:53.116Z","updated_at":"2021-09-30T08:22:53.116Z"},{"id":310,"pubmed_id":18974177,"title":"PRODORIC (release 2009): a database and tool platform for the analysis of gene regulation in prokaryotes.","year":2008,"url":"http://doi.org/10.1093/nar/gkn837","authors":"Grote A., Klein J., Retter I., Haddad I., Behling S., Bunk B., Biegler I., Yarmolinetz S., Jahn D., Münch R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn837","created_at":"2021-09-30T08:22:53.307Z","updated_at":"2021-09-30T08:22:53.307Z"},{"id":3192,"pubmed_id":34850133,"title":"PRODORIC: state-of-the-art database of prokaryotic gene regulation.","year":2022,"url":"https://doi.org/10.1093/nar/gkab1110","authors":"Dudek CA, Jahn D","journal":"Nucleic acids research","doi":"10.1093/nar/gkab1110","created_at":"2022-01-21T10:54:52.138Z","updated_at":"2022-01-21T10:54:52.138Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2575,"relation":"applies_to_content"},{"licence_name":"PRODORIC Terms of Use","licence_id":682,"licence_url":"http://prodoric.tu-bs.de/contact.php","link_id":210,"relation":"undefined"}],"grants":[{"id":738,"fairsharing_record_id":1778,"organisation_id":1990,"relation":"maintains","created_at":"2021-09-30T09:24:42.160Z","updated_at":"2021-09-30T09:24:42.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1990,"name":"National Genome Research Network (NGFN), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":740,"fairsharing_record_id":1778,"organisation_id":670,"relation":"maintains","created_at":"2021-09-30T09:24:42.229Z","updated_at":"2021-09-30T09:24:42.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":670,"name":"Department of Bioinformatics and Biochemistry, Institute for Biochemistry and Biotechnology, Technical University Braunschweig, Braunschweig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9352,"fairsharing_record_id":1778,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.481Z","updated_at":"2022-04-11T12:07:32.499Z","grant_id":430,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0313936C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1779","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:55.224Z","metadata":{"doi":"10.25504/FAIRsharing.9k5mbg","name":"National Microbial Pathogen Data Resource","status":"ready","contacts":[{"contact_name":"Rick Stevens","contact_email":"stevens@cs.uchicago.edu"}],"homepage":"http://www.nmpdr.org","identifier":1779,"description":"The NMPDR provided curated annotations in an environment for comparative analysis of genomes and biological subsystems, with an emphasis on the food-borne pathogens Campylobacter, Listeria, Staphylococcus, Streptococcus, and Vibrio; as well as the STD pathogens Chlamydiaceae, Haemophilus, Mycoplasma, Neisseria, Treponema, and Ureaplasma.","abbreviation":"NMPDR","data_curation":{"url":"https://www.bv-brc.org/about","type":"manual/automated"},"support_links":[{"url":"help@nmpdr.org","type":"Support email"},{"url":"http://www.nmpdr.org/FIG/wiki/view.cgi/Main/FAQS","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.nmpdr.org/FIG/wiki/view.cgi/FIG/WebHome","type":"Help documentation"},{"url":"http://www.nmpdr.org/FIG/wiki/view.cgi/Main/HowToUseNMPDR","type":"Training documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://www.nmpdr.org/FIG/wiki/rest.cgi/NmpdrPlugin/search?Class=BlastSearch","name":"BLAST"}],"data_access_condition":{"url":"https://www.bv-brc.org/docs/quick_references/workspaces/workspace.html#creating-and-sharing-workspaces","type":"controlled","notes":"Data shared only with those that have access to the workspace"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.bv-brc.org/docs/quick_references/workspaces/data_upload.html","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000238","bsg-d000238"],"name":"FAIRsharing record for: National Microbial Pathogen Data Resource","abbreviation":"NMPDR","url":"https://fairsharing.org/10.25504/FAIRsharing.9k5mbg","doi":"10.25504/FAIRsharing.9k5mbg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NMPDR provided curated annotations in an environment for comparative analysis of genomes and biological subsystems, with an emphasis on the food-borne pathogens Campylobacter, Listeria, Staphylococcus, Streptococcus, and Vibrio; as well as the STD pathogens Chlamydiaceae, Haemophilus, Mycoplasma, Neisseria, Treponema, and Ureaplasma.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12626}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Comparative Genomics"],"domains":["Pathogen","Genome"],"taxonomies":["Campylobacter","Chlamydiaceae","Haemophilus","Listeria","Mycoplasma","Neisseria","Staphylococcus","Streptococcus","Treponema","Ureaplasma","Vibrio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1483,"pubmed_id":17145713,"title":"The National Microbial Pathogen Database Resource (NMPDR): a genomics platform based on subsystem annotation.","year":2006,"url":"http://doi.org/10.1093/nar/gkl947","authors":"McNeil LK., Reich C., Aziz RK., Bartels D., Cohoon M., Disz T., Edwards RA., Gerdes S., Hwang K., Kubal M., Margaryan GR., Meyer F., Mihalo W., Olsen GJ., Olson R., Osterman A., Paarmann D., Paczian T., Parrello B., Pusch GD., Rodionov DA., Shi X., Vassieva O., Vonstein V., Zagnitko O., Xia F., Zinner J., Overbeek R., Stevens R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl947","created_at":"2021-09-30T08:25:06.026Z","updated_at":"2021-09-30T08:25:06.026Z"}],"licence_links":[],"grants":[{"id":741,"fairsharing_record_id":1779,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:42.271Z","updated_at":"2021-09-30T09:31:33.826Z","grant_id":1226,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"HHSN266200400042C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":742,"fairsharing_record_id":1779,"organisation_id":251,"relation":"maintains","created_at":"2021-09-30T09:24:42.309Z","updated_at":"2021-09-30T09:24:42.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":251,"name":"Bioinformatics Resource Center, University of Wisconsin Biotechnology Center, Madison, WI, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1780","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-28T18:15:12.515Z","metadata":{"doi":"10.25504/FAIRsharing.n2xy00","name":"siRecords","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"siRecords@biolead.org"}],"homepage":"http://c1.accurascience.com/siRecords/","citations":[],"identifier":1780,"description":"siRecords is a collection of a diverse range of mammalian RNAi experiments . After choosing a gene, researchers can find all siRNA records targeting the gene, design a new siRNA targeting it, or submit siRNAs that have been tested. The resource also helps experimental RNAi researchers by providing them with the efficacy and other information about the siRNAs experiments designed and conducted previously against the genes of their interest. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"siRecords","data_curation":{},"year_creation":2004,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2022-12-28","deprecation_reason":"This resource is no longer active.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000239","bsg-d000239"],"name":"FAIRsharing record for: siRecords","abbreviation":"siRecords","url":"https://fairsharing.org/10.25504/FAIRsharing.n2xy00","doi":"10.25504/FAIRsharing.n2xy00","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: siRecords is a collection of a diverse range of mammalian RNAi experiments . After choosing a gene, researchers can find all siRNA records targeting the gene, design a new siRNA targeting it, or submit siRNAs that have been tested. The resource also helps experimental RNAi researchers by providing them with the efficacy and other information about the siRNAs experiments designed and conducted previously against the genes of their interest. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Ribonucleic acid","Small interfering RNA","Gene"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":320,"pubmed_id":18996894,"title":"siRecords: a database of mammalian RNAi experiments and efficacies.","year":2008,"url":"http://doi.org/10.1093/nar/gkn817","authors":"Ren Y., Gong W., Zhou H., Wang Y., Xiao F., Li T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn817","created_at":"2021-09-30T08:22:54.374Z","updated_at":"2021-09-30T08:22:54.374Z"}],"licence_links":[],"grants":[{"id":744,"fairsharing_record_id":1780,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:24:42.389Z","updated_at":"2021-09-30T09:24:42.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":745,"fairsharing_record_id":1780,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:24:42.426Z","updated_at":"2021-09-30T09:30:52.752Z","grant_id":915,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"4R33CA126209","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8167,"fairsharing_record_id":1780,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:31:18.021Z","updated_at":"2021-09-30T09:31:18.075Z","grant_id":1108,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"1R21CA126209","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1781","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T13:22:37.526Z","metadata":{"doi":"10.25504/FAIRsharing.zjcys8","name":"Structure, Interfaces and Alignments for Protein-Protein Interactions Database","status":"deprecated","contacts":[{"contact_email":"emily@compbio.dundee.ac.uk"}],"homepage":"http://www.compbio.dundee.ac.uk/SNAPPI/index.jsp","citations":[],"identifier":1781,"description":"SNAPPI-DB is an object-oriented database of domain-domain interactions observed in structural data. The structural data is obtained from the MSD data warehouse as the MSD provides consistent data with links to many types of data about proteins and nucleic acids.","abbreviation":"SNAPPI-DB","data_curation":{"url":"http://www.compbio.dundee.ac.uk/SNAPPI/snappidb.jsp","type":"automated"},"support_links":[{"url":"http://www.compbio.dundee.ac.uk/SNAPPI/SNAPPI-DBPackage/ProgramManual/Manual.pdf","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2024-04-17","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"url":"http://www.compbio.dundee.ac.uk/SNAPPI/downloads.jsp","type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000240","bsg-d000240"],"name":"FAIRsharing record for: Structure, Interfaces and Alignments for Protein-Protein Interactions Database","abbreviation":"SNAPPI-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.zjcys8","doi":"10.25504/FAIRsharing.zjcys8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SNAPPI-DB is an object-oriented database of domain-domain interactions observed in structural data. The structural data is obtained from the MSD data warehouse as the MSD provides consistent data with links to many types of data about proteins and nucleic acids.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein interaction","Molecular interaction","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":305,"pubmed_id":17202171,"title":"SNAPPI-DB: a database and API of Structures, iNterfaces and Alignments for Protein-Protein Interactions.","year":2007,"url":"http://doi.org/10.1093/nar/gkl836","authors":"Jefferson ER., Walsh TP., Roberts TJ., Barton GJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl836","created_at":"2021-09-30T08:22:52.841Z","updated_at":"2021-09-30T08:22:52.841Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":213,"relation":"undefined"}],"grants":[{"id":746,"fairsharing_record_id":1781,"organisation_id":3049,"relation":"maintains","created_at":"2021-09-30T09:24:42.472Z","updated_at":"2021-09-30T09:24:42.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":747,"fairsharing_record_id":1781,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:42.509Z","updated_at":"2021-09-30T09:24:42.509Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1792","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:01:39.521Z","metadata":{"doi":"10.25504/FAIRsharing.pxm2h8","name":"MutDB","status":"deprecated","contacts":[{"contact_name":"SD Mooney","contact_email":"smooney@buckinstitute.org"}],"homepage":"http://mutdb.org/","identifier":1792,"description":"The goal of MutDB is to annotate human variation data with protein structural information and other functionally relevant information, if available. The mutations are organized by gene. Click on the alphabet below to go alphabetically through the list of genes. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"MutDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://mutdb.org/snp/help.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000252","bsg-d000252"],"name":"FAIRsharing record for: MutDB","abbreviation":"MutDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pxm2h8","doi":"10.25504/FAIRsharing.pxm2h8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of MutDB is to annotate human variation data with protein structural information and other functionally relevant information, if available. The mutations are organized by gene. Click on the alphabet below to go alphabetically through the list of genes. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Expression data","Mutation analysis","Structure","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":315,"pubmed_id":15980479,"title":"MutDB services: interactive structural analysis of mutation data.","year":2005,"url":"http://doi.org/10.1093/nar/gki404","authors":"Dantzer J., Moad C., Heiland R., Mooney S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki404","created_at":"2021-09-30T08:22:53.792Z","updated_at":"2021-09-30T08:22:53.792Z"},{"id":2411,"pubmed_id":17827212,"title":"MutDB: update on development of tools for the biochemical analysis of genetic variation.","year":2007,"url":"http://doi.org/10.1093/nar/gkm659","authors":"Singh A,Olowoyeye A,Baenziger PH,Dantzer J,Kann MG,Radivojac P,Heiland R,Mooney SD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm659","created_at":"2021-09-30T08:26:55.891Z","updated_at":"2021-09-30T11:29:35.262Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":968,"relation":"undefined"}],"grants":[{"id":783,"fairsharing_record_id":1792,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:43.903Z","updated_at":"2021-09-30T09:30:30.197Z","grant_id":738,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"K22LM009135","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":781,"fairsharing_record_id":1792,"organisation_id":1327,"relation":"funds","created_at":"2021-09-30T09:24:43.836Z","updated_at":"2021-09-30T09:24:43.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":782,"fairsharing_record_id":1792,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:24:43.869Z","updated_at":"2021-09-30T09:24:43.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":784,"fairsharing_record_id":1792,"organisation_id":329,"relation":"maintains","created_at":"2021-09-30T09:24:43.948Z","updated_at":"2021-09-30T09:24:43.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":329,"name":"Buck Institute for Research on Aging, Novato, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1793","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:44.862Z","metadata":{"doi":"10.25504/FAIRsharing.8zf3ny","name":"Universal PBM Resource for Oligonucleotide Binding Evaluation","status":"ready","contacts":[{"contact_name":"Maxwell Hume","contact_email":"uniprobe@genetics.med.harvard.edu","contact_orcid":"0000-0003-2877-8079"}],"homepage":"http://thebrain.bwh.harvard.edu/uniprobe/","citations":[],"identifier":1793,"description":"The UniPROBE (Universal PBM Resource for Oligonucleotide Binding Evaluation) database hosts data generated by universal protein binding microarray (PBM) technology on the in vitro DNA binding specificities of proteins.","abbreviation":"UniPROBE","data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010557","name":"re3data:r3d100010557","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005803","name":"SciCrunch:RRID:SCR_005803","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://thebrain.bwh.harvard.edu/pbms/UniPROBE_staging/admin.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000253","bsg-d000253"],"name":"FAIRsharing record for: Universal PBM Resource for Oligonucleotide Binding Evaluation","abbreviation":"UniPROBE","url":"https://fairsharing.org/10.25504/FAIRsharing.8zf3ny","doi":"10.25504/FAIRsharing.8zf3ny","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniPROBE (Universal PBM Resource for Oligonucleotide Binding Evaluation) database hosts data generated by universal protein binding microarray (PBM) technology on the in vitro DNA binding specificities of proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Sequence annotation","Protein interaction","Deoxyribonucleic acid","Molecular interaction","Protein"],"taxonomies":["Ashbya gossypii","Burkholderia pseudomallei K96243","Burkholderia thailandensis E264","Caenorhabditis elegans","Cryptosporidium parvum","Drosophila melanogaster","Emericella nidulans","Homo sapiens","Kluyveromyces lactis","Monosiga brevicollis","Mus musculus","Nematostella vectensis","Patiria miniata","Plasmodium falciparum","Saccharomyces cerevisiae","Strongylocentrotus purpuratus","Trichoplax adhaerens","Tuber melanosporum","Vibrio harveyi","Zymoseptoria tritici"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":812,"pubmed_id":18842628,"title":"UniPROBE: an online database of protein binding microarray data on protein-DNA interactions.","year":2008,"url":"http://doi.org/10.1093/nar/gkn660","authors":"Newburger DE., Bulyk ML.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn660","created_at":"2021-09-30T08:23:49.589Z","updated_at":"2021-09-30T08:23:49.589Z"},{"id":862,"pubmed_id":21037262,"title":"UniPROBE, update 2011: expanded content and search tools in the online database of protein-binding microarray data on protein-DNA interactions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq992","authors":"Robasky K., Bulyk ML.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq992","created_at":"2021-09-30T08:23:55.230Z","updated_at":"2021-09-30T08:23:55.230Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":215,"relation":"undefined"}],"grants":[{"id":785,"fairsharing_record_id":1793,"organisation_id":331,"relation":"maintains","created_at":"2021-09-30T09:24:43.986Z","updated_at":"2021-09-30T09:24:43.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":331,"name":"Bulyk Laboratory, Brigham and Women's Hospital/ Harvard Medical School, Boston, MA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":786,"fairsharing_record_id":1793,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:44.023Z","updated_at":"2021-09-30T09:32:05.586Z","grant_id":1465,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 HG003985","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1794","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:00:03.216Z","metadata":{"doi":"10.25504/FAIRsharing.er98b1","name":"CutDB","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"pmap_info@burnham.org"}],"homepage":"http://cutdb.burnham.org","identifier":1794,"description":"CutDB is one of the first systematic efforts to build an easily accessible collection of documented proteolytic events for natural proteins in vivo or in vitro. A CutDB entry is defined by a unique combination of these three attributes: protease, protein substrate, and cleavage site. Currently, CutDB integrates 3,070 proteolytic events for 470 different proteases captured from public archives (such as MEROPS and HPRD) and publications.","abbreviation":"CutDB","data_curation":{"type":"not found"},"year_creation":2006,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000254","bsg-d000254"],"name":"FAIRsharing record for: CutDB","abbreviation":"CutDB","url":"https://fairsharing.org/10.25504/FAIRsharing.er98b1","doi":"10.25504/FAIRsharing.er98b1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CutDB is one of the first systematic efforts to build an easily accessible collection of documented proteolytic events for natural proteins in vivo or in vitro. A CutDB entry is defined by a unique combination of these three attributes: protease, protein substrate, and cleavage site. Currently, CutDB integrates 3,070 proteolytic events for 470 different proteases captured from public archives (such as MEROPS and HPRD) and publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Enzyme","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":867,"pubmed_id":17142225,"title":"CutDB: a proteolytic event database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl813","authors":"Igarashi Y., Eroshkin A., Gramatikova S., Gramatikoff K., Zhang Y., Smith JW., Osterman AL., Godzik A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl813","created_at":"2021-09-30T08:23:55.775Z","updated_at":"2021-09-30T08:23:55.775Z"}],"licence_links":[],"grants":[{"id":787,"fairsharing_record_id":1794,"organisation_id":2487,"relation":"maintains","created_at":"2021-09-30T09:24:44.065Z","updated_at":"2021-09-30T09:24:44.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":2487,"name":"Sanford Burnham Prebys Medical Discovery Institute (SBP), La Jolla, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":788,"fairsharing_record_id":1794,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:44.107Z","updated_at":"2021-09-30T09:30:49.015Z","grant_id":884,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5 U54 RR020843-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1770","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T09:20:35.399Z","metadata":{"doi":"10.25504/FAIRsharing.x6d6sx","name":"Bgee DataBase for Gene Expression Evolution","status":"ready","contacts":[{"contact_name":"Frederic B. Bastian","contact_email":"bgee@sib.swiss"}],"homepage":"https://www.bgee.org","citations":[],"identifier":1770,"description":"Bgee is a database for retrieval and comparison of gene expression patterns across multiple animal species. It provides an intuitive answer to the question \"where is a gene expressed?\" and supports research in cancer and agriculture as well as evolutionary biology.\nBgee data are produced from multiple data types (bulk and single-cell RNA-Seq, Affymetrix, in situ hybridization, EST data), and multiple data sets, that are all integrated consistently to provide a single answer to the question: \"where is this gene expressed?\"\nBgee is based exclusively on curated \"normal\", healthy wild-type expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of normal gene expression.\nBgee produces calls of presence/absence of expression, and of differential over-/under-expression, integrated along with information of gene orthology, and of homology between organs. This allows comparisons of expression patterns between species.","abbreviation":"Bgee","data_curation":{"url":"https://github.com/BgeeDB/expression-annotations","type":"manual"},"support_links":[{"url":"Bgee@sib.swiss","name":"General contact","type":"Support email"},{"url":"https://github.com/BgeeDB/","type":"Github"},{"url":"https://www.bgee.org/about/","type":"Help documentation"},{"url":"https://twitter.com/Bgeedb","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://www.bgee.org/analysis/top-anat","name":"TopAnat - Gene Expression Enrichment"},{"url":"https://bioconductor.org/packages/release/bioc/html/BgeeDB.html","name":"BgeeDB Bioconductor 3.8"},{"url":"http://bioconductor.org/packages/release/bioc/html/BgeeCall.html","name":"BgeeCall"},{"url":"https://www.bgee.org/analysis/expr-comparison","name":"Expression comparison"}],"data_access_condition":{"url":"https://www.bgee.org/download/data-dumps","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000228","bsg-d000228"],"name":"FAIRsharing record for: Bgee DataBase for Gene Expression Evolution","abbreviation":"Bgee","url":"https://fairsharing.org/10.25504/FAIRsharing.x6d6sx","doi":"10.25504/FAIRsharing.x6d6sx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bgee is a database for retrieval and comparison of gene expression patterns across multiple animal species. It provides an intuitive answer to the question \"where is a gene expressed?\" and supports research in cancer and agriculture as well as evolutionary biology.\nBgee data are produced from multiple data types (bulk and single-cell RNA-Seq, Affymetrix, in situ hybridization, EST data), and multiple data sets, that are all integrated consistently to provide a single answer to the question: \"where is this gene expressed?\"\nBgee is based exclusively on curated \"normal\", healthy wild-type expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of normal gene expression.\nBgee produces calls of presence/absence of expression, and of differential over-/under-expression, integrated along with information of gene orthology, and of homology between organs. This allows comparisons of expression patterns between species.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18167},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11330},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12160},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19502}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Transcriptomics","Phenomics"],"domains":["Expression data","RNA sequence","Annotation","Analysis","Differential gene expression analysis","Gene expression","RNA sequencing","In situ hybridization","Homologous","Orthologous","Biocuration"],"taxonomies":["Anolis carolinensis","Bos taurus","Branchiostoma lanceolatum","Caenorhabditis elegans","Canis lupus","Cavia porcellus","Danio rerio","Drosophila ananassae","Drosophila melanogaster","Drosophila mojavensis","Drosophila pseudoobscura","Drosophila simulans","Drosophila virilis","Drosophila yakuba","Equus caballus","Erinaceus europaeus","Eumetazoa","Felis catus","Gallus gallus","Gorilla gorilla gorilla","Homo sapiens","Lepisosteus oculatus","Macaca mulatta","Metazoa","Monodelphis domestica","Mus musculus","Ornithorhynchus anatinus","Oryctolagus cuniculus","Pan paniscus","Pan troglodytes","Rattus norvegicus","Sus scrofa","Teleostei","Xenopus tropicalis"],"user_defined_tags":["Single cell gene expression","single cell rna-seq"],"countries":["Switzerland"],"publications":[{"id":23,"pubmed_id":30467516,"title":"BgeeDB, an R package for retrieval of curated expression datasets and for gene list expression localization enrichment tests.","year":2016,"url":"http://doi.org/10.12688/f1000research.9973.2","authors":"Komljenovic A,Roux J,Wollbrett J,Robinson-Rechavi M,Bastian FB","journal":"F1000Res","doi":"10.12688/f1000research.9973.2","created_at":"2021-09-30T08:22:22.838Z","updated_at":"2021-09-30T08:22:22.838Z"},{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":1340,"pubmed_id":23487185,"title":"Uncovering hidden duplicated content in public transcriptomics data.","year":2013,"url":"http://doi.org/10.1093/database/bat010","authors":"Rosikiewicz M., Comte A., Niknejad A., Robinson-Rechavi M., Bastian FB.,","journal":"Database (Oxford)","doi":"10.1093/database/bat010","created_at":"2021-09-30T08:24:49.951Z","updated_at":"2021-09-30T08:24:49.951Z"},{"id":2462,"pubmed_id":22285560,"title":"vHOG, a multispecies vertebrate ontology of homologous organs groups.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts048","authors":"Niknejad A,Comte A,Parmentier G,Roux J,Bastian FB,Robinson-Rechavi M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts048","created_at":"2021-09-30T08:27:01.961Z","updated_at":"2021-09-30T08:27:01.961Z"},{"id":2498,"pubmed_id":null,"title":"Bgee: Integrating and Comparing Heterogeneous Transcriptome Data Among Species","year":2008,"url":"http://doi.org/10.1007/978-3-540-69828-9_12","authors":"Frederic Bastian, Gilles Parmentier, Julien Roux, Sebastien Moretti, Vincent Laudet, Marc Robinson-Rechavi","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-540-69828-9_12","created_at":"2021-09-30T08:27:06.283Z","updated_at":"2021-09-30T08:27:06.283Z"},{"id":3924,"pubmed_id":null,"title":"The Bgee suite: integrated curated expression atlas and comparative transcriptomics in animals","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa793","authors":"Bastian, Frederic B; Roux, Julien; Niknejad, Anne; Comte, Aurélie; Fonseca Costa, Sara S; de Farias, Tarcisio Mendes; Moretti, Sébastien; Parmentier, Gilles; de Laval, Valentine Rech; Rosikiewicz, Marta; Wollbrett, Julien; Echchiki, Amina; Escoriza, Angélique; Gharib, Walid H; Gonzales-Porta, Mar; Jarosz, Yohan; Laurenczy, Balazs; Moret, Philippe; Person, Emilie; Roelli, Patrick; Sanjeev, Komal; Seppey, Mathieu; Robinson-Rechavi, Marc; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa793","created_at":"2023-06-20T14:07:50.003Z","updated_at":"2023-06-20T14:07:50.003Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2097,"relation":"undefined"}],"grants":[{"id":715,"fairsharing_record_id":1770,"organisation_id":3075,"relation":"maintains","created_at":"2021-09-30T09:24:41.404Z","updated_at":"2021-09-30T09:24:41.404Z","grant_id":null,"is_lead":false,"saved_state":{"id":3075,"name":"University of Lausanne, department of Ecology and Evolution, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":720,"fairsharing_record_id":1770,"organisation_id":881,"relation":"funds","created_at":"2021-09-30T09:24:41.592Z","updated_at":"2021-09-30T09:24:41.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":881,"name":"Etat de Vaud, Lausanne, Switzerland","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7945,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:59.933Z","updated_at":"2021-09-30T09:29:59.985Z","grant_id":506,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062542","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8069,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:45.453Z","updated_at":"2021-09-30T09:30:45.539Z","grant_id":855,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062404","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":714,"fairsharing_record_id":1770,"organisation_id":209,"relation":"maintains","created_at":"2021-09-30T09:24:41.362Z","updated_at":"2021-09-30T09:24:41.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":209,"name":"BGEE administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":716,"fairsharing_record_id":1770,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:41.445Z","updated_at":"2021-09-30T09:24:41.445Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":718,"fairsharing_record_id":1770,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:24:41.521Z","updated_at":"2021-09-30T09:24:41.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":713,"fairsharing_record_id":1770,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:24:41.332Z","updated_at":"2021-09-30T09:29:01.184Z","grant_id":57,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31003A_153341","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":717,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:41.484Z","updated_at":"2021-09-30T09:29:46.854Z","grant_id":399,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0641025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":719,"fairsharing_record_id":1770,"organisation_id":2809,"relation":"funds","created_at":"2021-09-30T09:24:41.559Z","updated_at":"2021-09-30T09:32:04.507Z","grant_id":1456,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","grant":"EF-0905606","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7922,"fairsharing_record_id":1770,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:29:48.418Z","updated_at":"2021-09-30T09:29:48.508Z","grant_id":413,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31003A 133011/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8280,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:53.774Z","updated_at":"2021-09-30T09:31:53.843Z","grant_id":1376,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI -1062350","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8407,"fairsharing_record_id":1770,"organisation_id":2809,"relation":"funds","created_at":"2021-09-30T09:32:30.768Z","updated_at":"2021-09-30T09:32:30.817Z","grant_id":1654,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","grant":"EF-0423641","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcmtDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--307bcdde0140df25857b2997a06b67cb561c9695/bgee_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1771","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:45:12.225Z","metadata":{"doi":"10.25504/FAIRsharing.3rnawd","name":"Signal Transduction Classification Database","status":"deprecated","contacts":[{"contact_email":"mchen@techfak.uni-bielefeld.de"}],"homepage":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/","citations":[],"identifier":1771,"description":"The signal molecules and pathways are classified and illustrated by graphs in this database.","abbreviation":"STCDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/introduction.html","type":"Help documentation"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/application.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/submit.html","name":"submit"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/search.html","name":"search"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/classification.html","name":"browse"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/submit.html","name":"submit"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/search.html","name":"search"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/classification.html","name":"browse"}],"deprecation_date":"2021-9-19","deprecation_reason":"This resource contains an organised set of web pages on signal transduction classification, but is not a database according to our definitions, therefore this record has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000229","bsg-d000229"],"name":"FAIRsharing record for: Signal Transduction Classification Database","abbreviation":"STCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3rnawd","doi":"10.25504/FAIRsharing.3rnawd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The signal molecules and pathways are classified and illustrated by graphs in this database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Small molecule","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":272,"pubmed_id":14681456,"title":"STCDB: Signal Transduction Classification Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh079","authors":"Chen M., Lin S., Hofestaedt R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh079","created_at":"2021-09-30T08:22:49.416Z","updated_at":"2021-09-30T08:22:49.416Z"}],"licence_links":[],"grants":[{"id":721,"fairsharing_record_id":1771,"organisation_id":213,"relation":"maintains","created_at":"2021-09-30T09:24:41.629Z","updated_at":"2021-09-30T09:24:41.629Z","grant_id":null,"is_lead":false,"saved_state":{"id":213,"name":"Bielefeld University, Bielefeld, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1766","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:57:35.375Z","metadata":{"doi":"10.25504/FAIRsharing.snnfj7","name":"Pig Genomic Informatics System","status":"deprecated","contacts":[{"contact_name":"Jun Wang","contact_email":"wangj@genomics.org.cn"}],"homepage":"http://pig.genomics.org.cn/","identifier":1766,"description":"The Pig Genomic Informatics System (PigGIS) presents accurate pig gene annotations in all sequenced genomic regions. It integrates various available pig sequence data, including 3.84 million whole-genome-shortgun (WGS) reads and 0.7 million Expressed Sequence Tags (ESTs) generated by Sino-Danish Pig Genome Project, and 1 million miscellaneous GenBank records.","abbreviation":"PigGIS","data_curation":{"type":"not found"},"support_links":[{"url":"piggis@genomics.org.cn","type":"Support email"},{"url":"http://pig.genomics.org.cn/faq.jsp","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://pig.genomics.org.cn/blast.jsp","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000224","bsg-d000224"],"name":"FAIRsharing record for: Pig Genomic Informatics System","abbreviation":"PigGIS","url":"https://fairsharing.org/10.25504/FAIRsharing.snnfj7","doi":"10.25504/FAIRsharing.snnfj7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pig Genomic Informatics System (PigGIS) presents accurate pig gene annotations in all sequenced genomic regions. It integrates various available pig sequence data, including 3.84 million whole-genome-shortgun (WGS) reads and 0.7 million Expressed Sequence Tags (ESTs) generated by Sino-Danish Pig Genome Project, and 1 million miscellaneous GenBank records.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Ribonucleic acid","Structure","Gene","Genome"],"taxonomies":["Sus scrofa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":285,"pubmed_id":17090590,"title":"PigGIS: Pig Genomic Informatics System.","year":2006,"url":"http://doi.org/10.1093/nar/gkl808","authors":"Ruan J., Guo Y., Li H., Hu Y., Song F., Huang X., Kristiensen K., Bolund L., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl808","created_at":"2021-09-30T08:22:50.724Z","updated_at":"2021-09-30T08:22:50.724Z"}],"licence_links":[],"grants":[{"id":703,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:41.020Z","updated_at":"2021-09-30T09:29:21.276Z","grant_id":209,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90208019","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":701,"fairsharing_record_id":1766,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:40.945Z","updated_at":"2021-09-30T09:29:38.705Z","grant_id":340,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"GJHZ0518","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":700,"fairsharing_record_id":1766,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:40.904Z","updated_at":"2021-09-30T09:29:25.501Z","grant_id":243,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"CNGI-04-15-7A","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8085,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:50.596Z","updated_at":"2021-09-30T09:30:50.647Z","grant_id":897,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90403130","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8251,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:44.891Z","updated_at":"2021-09-30T09:31:44.945Z","grant_id":1309,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30221004","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":702,"fairsharing_record_id":1766,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.983Z","updated_at":"2021-09-30T09:24:40.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":704,"fairsharing_record_id":1766,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:41.062Z","updated_at":"2021-09-30T09:31:29.731Z","grant_id":1196,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","grant":"XXBKYHT2006001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7959,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:04.668Z","updated_at":"2021-09-30T09:30:04.715Z","grant_id":540,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90608010","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8362,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:15.091Z","updated_at":"2021-09-30T09:32:15.146Z","grant_id":1533,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90612019","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1767","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:56.863Z","metadata":{"doi":"10.25504/FAIRsharing.6cnw23","name":"YanHuang - YH1 Genome Database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"yhdb@genomics.org.cn"}],"homepage":"http://yh.genomics.org.cn","identifier":1767,"description":"The YH database presents the entire DNA sequence of a Han Chinese individual, as a representative of Asian population. This genome, named as YH, is the start of YanHuang Project, which aims to sequence 100 Chinese individuals in 3 years.assembled based on 3.3 billion reads (117.7Gbp raw data) generated by Illumina Genome Analyzer. In total of 102.9Gbp nucleotides were mapped onto the NCBI human reference genome (Build 36) by self-developed software SOAP (Short Oligonucleotide Alignment Program), and 3.07 million SNPs were identified.","abbreviation":"YH1","data_curation":{"type":"not found"},"support_links":[{"url":"http://yh.genomics.org.cn/help.jsp","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://yh.genomics.org.cn/search.jsp","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000225","bsg-d000225"],"name":"FAIRsharing record for: YanHuang - YH1 Genome Database","abbreviation":"YH1","url":"https://fairsharing.org/10.25504/FAIRsharing.6cnw23","doi":"10.25504/FAIRsharing.6cnw23","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The YH database presents the entire DNA sequence of a Han Chinese individual, as a representative of Asian population. This genome, named as YH, is the start of YanHuang Project, which aims to sequence 100 Chinese individuals in 3 years.assembled based on 3.3 billion reads (117.7Gbp raw data) generated by Illumina Genome Analyzer. In total of 102.9Gbp nucleotides were mapped onto the NCBI human reference genome (Build 36) by self-developed software SOAP (Short Oligonucleotide Alignment Program), and 3.07 million SNPs were identified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":288,"pubmed_id":19073702,"title":"The YH database: the first Asian diploid genome database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn966","authors":"Li G., Ma L., Song C., Yang Z., Wang X., Huang H., Li Y., Li R., Zhang X., Yang H., Wang J., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn966","created_at":"2021-09-30T08:22:51.032Z","updated_at":"2021-09-30T08:22:51.032Z"}],"licence_links":[],"grants":[{"id":708,"fairsharing_record_id":1767,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:41.197Z","updated_at":"2021-09-30T09:32:15.164Z","grant_id":1533,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90612019","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":707,"fairsharing_record_id":1767,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:41.174Z","updated_at":"2021-09-30T09:24:41.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":706,"fairsharing_record_id":1767,"organisation_id":192,"relation":"funds","created_at":"2021-09-30T09:24:41.141Z","updated_at":"2021-09-30T09:29:59.843Z","grant_id":505,"is_lead":false,"saved_state":{"id":192,"name":"Beijing Municipal Science \u0026 Technology Commission, (BMSTC), China","grant":"D07030200740000","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":705,"fairsharing_record_id":1767,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:41.104Z","updated_at":"2021-09-30T09:31:09.175Z","grant_id":1042,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2007CB815705","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":709,"fairsharing_record_id":1767,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:41.222Z","updated_at":"2021-09-30T09:31:29.748Z","grant_id":1196,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","grant":"XXBKYHT2006001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1768","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:54:40.697Z","metadata":{"doi":"10.25504/FAIRsharing.kap6gp","name":"Berkeley Drosophila Genome Project EST database","status":"ready","contacts":[{"contact_name":"Susan Celniker","contact_email":"celniker@fruitfly.org"}],"homepage":"http://www.fruitfly.org/EST/index.shtml","identifier":1768,"description":"The goals of the Drosophila Genome Center are to finish the sequence of the euchromatic genome of Drosophila melanogaster to high quality and to generate and maintain biological annotations of this sequence.","abbreviation":"BDGP","data_curation":{"type":"none"},"support_links":[{"url":"bdgp@fruitfly.org","type":"Support email"},{"url":"http://www.fruitfly.org/EST/faq.html","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010624","name":"re3data:r3d100010624","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013094","name":"SciCrunch:RRID:SCR_013094","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000226","bsg-d000226"],"name":"FAIRsharing record for: Berkeley Drosophila Genome Project EST database","abbreviation":"BDGP","url":"https://fairsharing.org/10.25504/FAIRsharing.kap6gp","doi":"10.25504/FAIRsharing.kap6gp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goals of the Drosophila Genome Center are to finish the sequence of the euchromatic genome of Drosophila melanogaster to high quality and to generate and maintain biological annotations of this sequence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Sequence annotation","Genome"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":710,"fairsharing_record_id":1768,"organisation_id":203,"relation":"maintains","created_at":"2021-09-30T09:24:41.248Z","updated_at":"2021-09-30T09:24:41.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":203,"name":"Berkeley Drosophila Genome Project, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1769","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.881Z","metadata":{"doi":"10.25504/FAIRsharing.c34wtj","name":"Endocrine Pancreas Consortium Database","status":"deprecated","contacts":[{"contact_name":"Joan Mazzarelli","contact_email":"mazz@pcbi.uprnn.edu"}],"homepage":"http://www.cbil.upenn.edu/EPConDB","identifier":1769,"description":"EPConDB is a resource of the Beta Cell Biology Consortium which displays information about genes expressed in cells of the pancreas and their transcriptional regulation.","abbreviation":"EPConDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.betacell.org/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.betacell.org/content/tutorial/","type":"Training documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000227","bsg-d000227"],"name":"FAIRsharing record for: Endocrine Pancreas Consortium Database","abbreviation":"EPConDB","url":"https://fairsharing.org/10.25504/FAIRsharing.c34wtj","doi":"10.25504/FAIRsharing.c34wtj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EPConDB is a resource of the Beta Cell Biology Consortium which displays information about genes expressed in cells of the pancreas and their transcriptional regulation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Biological regulation","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":292,"pubmed_id":17071715,"title":"EPConDB: a web resource for gene expression related to pancreatic development, beta-cell function and diabetes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl748","authors":"Mazzarelli JM., Brestelli J., Gorski RK., Liu J., Manduchi E., Pinney DF., Schug J., White P., Kaestner KH., Stoeckert CJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl748","created_at":"2021-09-30T08:22:51.432Z","updated_at":"2021-09-30T08:22:51.432Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":190,"relation":"undefined"}],"grants":[{"id":711,"fairsharing_record_id":1769,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:24:41.273Z","updated_at":"2021-09-30T09:24:41.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":712,"fairsharing_record_id":1769,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:41.303Z","updated_at":"2021-09-30T09:32:19.770Z","grant_id":1569,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"UO1 56947","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1789","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:56.407Z","metadata":{"doi":"10.25504/FAIRsharing.etp533","name":"BRENDA Enzyme Database","status":"ready","contacts":[{"contact_name":"BRENDA Support","contact_email":"contact@brenda-enzymes.org","contact_orcid":null}],"homepage":"https://www.brenda-enzymes.org/","citations":[],"identifier":1789,"description":"BRENDA is the main collection of enzyme functional data available to the scientific community.","abbreviation":"BRENDA","data_curation":{"url":"https://www.brenda-enzymes.org/introduction.php","type":"manual/automated","notes":"Data on enzyme function are extracted directly from the primary literature by scientists holding a degree in Biology or Chemistry. Formal and consistency checks are done by computer programs, each data set on a classified enzyme is checked manually by at least one biologist and one chemist."},"support_links":[{"url":"http://brenda-enzymes.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://brenda-enzymes.org/help.php","type":"Help documentation"},{"url":"http://brenda-enzymes.org/tutorial.php","type":"Help documentation"}],"year_creation":1987,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010616","name":"re3data:r3d100010616","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002997","name":"SciCrunch:RRID:SCR_002997","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.brenda-enzymes.org/introduction.php","type":"open","notes":"Use of this online version of BRENDA is free under the CC BY 4.0 license."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000249","bsg-d000249"],"name":"FAIRsharing record for: BRENDA Enzyme Database","abbreviation":"BRENDA","url":"https://fairsharing.org/10.25504/FAIRsharing.etp533","doi":"10.25504/FAIRsharing.etp533","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BRENDA is the main collection of enzyme functional data available to the scientific community.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11331},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11833},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16212}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Ligand","Enzyme","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":574,"pubmed_id":11796225,"title":"BRENDA: a resource for enzyme data and metabolic information.","year":2002,"url":"http://doi.org/10.1016/s0968-0004(01)02027-8","authors":"Schomburg I,Chang A,Hofmann O,Ebeling C,Ehrentreich F,Schomburg D","journal":"Trends Biochem Sci","doi":"10.1016/S0968-0004(01)02027-8","created_at":"2021-09-30T08:23:22.777Z","updated_at":"2021-09-30T08:23:22.777Z"},{"id":590,"pubmed_id":11752250,"title":"BRENDA, enzyme data and metabolic information.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.47","authors":"Schomburg I,Chang A,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.47","created_at":"2021-09-30T08:23:24.693Z","updated_at":"2021-09-30T11:28:47.634Z"},{"id":1358,"pubmed_id":14681450,"title":"BRENDA, the enzyme database: updates and major new developments.","year":2003,"url":"http://doi.org/10.1093/nar/gkh081","authors":"Schomburg I,Chang A,Ebeling C,Gremse M,Heldt C,Huhn G,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh081","created_at":"2021-09-30T08:24:51.872Z","updated_at":"2021-09-30T11:29:06.777Z"},{"id":1564,"pubmed_id":12850129,"title":"Review of the BRENDA Database.","year":2003,"url":"http://doi.org/10.1016/s1096-7176(03)00008-9","authors":"Pharkya P,Nikolaev EV,Maranas CD","journal":"Metab Eng","doi":"10.1016/S1096-7176(03)00008-9","created_at":"2021-09-30T08:25:15.385Z","updated_at":"2021-09-30T08:25:15.385Z"},{"id":1590,"pubmed_id":25378310,"title":"BRENDA in 2015: exciting developments in its 25th year of existence.","year":2014,"url":"http://doi.org/10.1093/nar/gku1068","authors":"Chang A,Schomburg I,Placzek S,Jeske L,Ulbrich M,Xiao M,Sensen CW,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1068","created_at":"2021-09-30T08:25:18.284Z","updated_at":"2021-09-30T11:29:14.902Z"},{"id":1591,"pubmed_id":17202167,"title":"BRENDA, AMENDA and FRENDA: the enzyme information system in 2007.","year":2007,"url":"http://doi.org/10.1093/nar/gkl972","authors":"Barthelmes J,Ebeling C,Chang A,Schomburg I,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl972","created_at":"2021-09-30T08:25:18.383Z","updated_at":"2021-09-30T11:29:15.044Z"},{"id":2259,"pubmed_id":18984617,"title":"BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009.","year":2008,"url":"http://doi.org/10.1093/nar/gkn820","authors":"Chang A., Scheer M., Grote A., Schomburg I., Schomburg D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn820","created_at":"2021-09-30T08:26:34.757Z","updated_at":"2021-09-30T08:26:34.757Z"},{"id":2406,"pubmed_id":23203881,"title":"BRENDA in 2013: integrated reactions, kinetic data, enzyme function data, improved disease classification: new options and contents in BRENDA.","year":2012,"url":"http://doi.org/10.1093/nar/gks1049","authors":"Schomburg I,Chang A,Placzek S,Sohngen C,Rother M,Lang M,Munaretto C,Ulas S,Stelzer M,Grote A,Scheer M,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1049","created_at":"2021-09-30T08:26:55.301Z","updated_at":"2021-09-30T11:29:35.078Z"},{"id":2407,"pubmed_id":21062828,"title":"BRENDA, the enzyme information system in 2011.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1089","authors":"Scheer M,Grote A,Chang A,Schomburg I,Munaretto C,Rother M,Sohngen C,Stelzer M,Thiele J,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1089","created_at":"2021-09-30T08:26:55.403Z","updated_at":"2021-09-30T11:29:35.170Z"},{"id":2408,"pubmed_id":28438579,"title":"The BRENDA enzyme information system-From a database to an expert system.","year":2017,"url":"http://doi.org/S0168-1656(17)30183-9","authors":"Schomburg I,Jeske L,Ulbrich M,Placzek S,Chang A,Schomburg D","journal":"J Biotechnol","doi":"S0168-1656(17)30183-9","created_at":"2021-09-30T08:26:55.518Z","updated_at":"2021-09-30T08:26:55.518Z"}],"licence_links":[{"licence_name":"BRENDA License","licence_id":86,"licence_url":"http://www.brenda-enzymes.org/copy.php","link_id":879,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2583,"relation":"applies_to_content"}],"grants":[{"id":768,"fairsharing_record_id":1789,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:24:43.309Z","updated_at":"2021-09-30T09:29:34.222Z","grant_id":305,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":767,"fairsharing_record_id":1789,"organisation_id":309,"relation":"maintains","created_at":"2021-09-30T09:24:43.278Z","updated_at":"2021-09-30T09:24:43.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":309,"name":"BRENDA Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":772,"fairsharing_record_id":1789,"organisation_id":1990,"relation":"funds","created_at":"2021-09-30T09:24:43.490Z","updated_at":"2021-09-30T09:29:22.943Z","grant_id":222,"is_lead":false,"saved_state":{"id":1990,"name":"National Genome Research Network (NGFN), Heidelberg, Germany","grant":"0313398B","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":769,"fairsharing_record_id":1789,"organisation_id":1871,"relation":"funds","created_at":"2021-09-30T09:24:43.333Z","updated_at":"2021-09-30T09:29:33.477Z","grant_id":299,"is_lead":false,"saved_state":{"id":1871,"name":"Ministry of Science and Culture of Lower Saxony, Hannover, Germany","grant":"74ZN1122","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9296,"fairsharing_record_id":1789,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.560Z","updated_at":"2022-04-11T12:07:28.576Z","grant_id":1013,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902 (RII3)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9354,"fairsharing_record_id":1789,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.615Z","updated_at":"2022-04-11T12:07:32.634Z","grant_id":1641,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01KX1235","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1790","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-20T15:40:05.925Z","metadata":{"doi":"10.25504/FAIRsharing.8dak0r","name":"Open Regulatory Annotation","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"oreganno@bcgsc.ca"}],"homepage":"http://www.oreganno.org/","citations":[{"doi":"10.1093/nar/gkv1203","pubmed_id":null,"publication_id":3994}],"identifier":1790,"description":"The Open REGulatory ANNOtation database (ORegAnno) is an open database for the curation of known regulatory elements from scientific literature. Annotation is collected from users worldwide for various biological assays and is automatically cross-referenced against PubMED, Entrez Gene, EnsEMBL, dbSNP, the eVOC: Cell type ontology, and the Taxonomy database.","abbreviation":"ORegAnno","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.oreganno.org/oregano/Help.jsp","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010656","name":"re3data:r3d100010656","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007835","name":"SciCrunch:RRID:SCR_007835","portal":"SciCrunch"}],"deprecation_date":"2023-09-20","deprecation_reason":"The resource homepage is no longer valid, and a new homepage cannot be found. Please let us know if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000250","bsg-d000250"],"name":"FAIRsharing record for: Open Regulatory Annotation","abbreviation":"ORegAnno","url":"https://fairsharing.org/10.25504/FAIRsharing.8dak0r","doi":"10.25504/FAIRsharing.8dak0r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open REGulatory ANNOtation database (ORegAnno) is an open database for the curation of known regulatory elements from scientific literature. Annotation is collected from users worldwide for various biological assays and is automatically cross-referenced against PubMED, Entrez Gene, EnsEMBL, dbSNP, the eVOC: Cell type ontology, and the Taxonomy database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Biological regulation","Small molecule","Protein","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":316,"pubmed_id":18006570,"title":"ORegAnno: an open-access community-driven resource for regulatory annotation.","year":2007,"url":"http://doi.org/10.1093/nar/gkm967","authors":"Griffith OL., Montgomery SB., Bernier B., Chu B., Kasaian K., Aerts S., Mahony S., Sleumer MC., Bilenky M., Haeussler M., Griffith M., Gallo SM., Giardine B., Hooghe B., Van Loo P., Blanco E., Ticoll A., Lithwick S., Portales-Casamar E., Donaldson IJ., Robertson G., Wadelius C., De Bleser P., Vlieghe D., Halfon MS., Wasserman W., Hardison R., Bergman CM., Jones SJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm967","created_at":"2021-09-30T08:22:53.899Z","updated_at":"2021-09-30T08:22:53.899Z"},{"id":317,"pubmed_id":16397004,"title":"ORegAnno: an open access database and curation system for literature-derived promoters, transcription factor binding sites and regulatory variation.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btk027","authors":"Montgomery SB., Griffith OL., Sleumer MC., Bergman CM., Bilenky M., Pleasance ED., Prychyna Y., Zhang X., Jones SJ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btk027","created_at":"2021-09-30T08:22:54.007Z","updated_at":"2021-09-30T08:22:54.007Z"},{"id":3994,"pubmed_id":null,"title":"ORegAnno 3.0: a community-driven resource for curated regulatory annotation","year":2015,"url":"http://dx.doi.org/10.1093/nar/gkv1203","authors":"Lesurf, Robert; Cotto, Kelsy C.; Wang, Grace; Griffith, Malachi; Kasaian, Katayoon; Jones, Steven J. M.; Montgomery, Stephen B.; Griffith, Obi L.; undefined, undefined; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkv1203","created_at":"2023-09-20T15:37:46.663Z","updated_at":"2023-09-20T15:37:46.663Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":273,"relation":"undefined"}],"grants":[{"id":773,"fairsharing_record_id":1790,"organisation_id":186,"relation":"funds","created_at":"2021-09-30T09:24:43.528Z","updated_at":"2021-09-30T09:24:43.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":186,"name":"BC Cancer Foundation, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":776,"fairsharing_record_id":1790,"organisation_id":1111,"relation":"funds","created_at":"2021-09-30T09:24:43.647Z","updated_at":"2021-09-30T09:24:43.647Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":774,"fairsharing_record_id":1790,"organisation_id":1109,"relation":"funds","created_at":"2021-09-30T09:24:43.564Z","updated_at":"2021-09-30T09:24:43.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1109,"name":"Genome British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":775,"fairsharing_record_id":1790,"organisation_id":946,"relation":"funds","created_at":"2021-09-30T09:24:43.605Z","updated_at":"2021-09-30T09:24:43.605Z","grant_id":null,"is_lead":false,"saved_state":{"id":946,"name":"European Network of Excellence (ENFIN), Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":777,"fairsharing_record_id":1790,"organisation_id":185,"relation":"maintains","created_at":"2021-09-30T09:24:43.686Z","updated_at":"2021-09-30T09:24:43.686Z","grant_id":null,"is_lead":false,"saved_state":{"id":185,"name":"BC Cancer Agency, Canada","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1791","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:42:33.251Z","metadata":{"doi":"10.25504/FAIRsharing.fj1d4d","name":"Magnaporthe grisea Database","status":"deprecated","contacts":[{"contact_name":"Ralph A. Dean","contact_email":"radean2@ncsu.edu"}],"homepage":"http://www.broad.mit.edu/annotation/genome/magnaporthe_grisea/Home.html","identifier":1791,"description":"The Magnaporthe comparative genomics database provides accesses to multiple fungal genomes from the Magnaporthaceae family to facilitate the comparative analysis. The project is a partnership between the International Rice Blast Genome Consortium, and the Broad Institute. The project is facilitated by an Advisory Board made up of members of the rice blast research community.","abbreviation":"MGG","data_curation":{"type":"not found"},"support_links":[{"url":"annotation-webmaster@broadinstitute.org","type":"Support email"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Info.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/FeatureSearch.html","name":"search"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Regions.html","name":"browse"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Blast.html","name":"BLAST"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/FeatureSearch.html","name":"search"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Regions.html","name":"browse"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Blast.html","name":"BLAST"}],"deprecation_date":"2021-9-18","deprecation_reason":"This resource contains data accessible via both ftp and through GenBank and JGI (http://genome.jgi.doe.gov/programs/fungi/index.jsf), but does not host their own database, therefore this record has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000251","bsg-d000251"],"name":"FAIRsharing record for: Magnaporthe grisea Database","abbreviation":"MGG","url":"https://fairsharing.org/10.25504/FAIRsharing.fj1d4d","doi":"10.25504/FAIRsharing.fj1d4d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Magnaporthe comparative genomics database provides accesses to multiple fungal genomes from the Magnaporthaceae family to facilitate the comparative analysis. The project is a partnership between the International Rice Blast Genome Consortium, and the Broad Institute. The project is facilitated by an Advisory Board made up of members of the rice blast research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Comparative Genomics"],"domains":["Genome"],"taxonomies":["Magnaporthe grisea"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1595,"pubmed_id":26416668,"title":"Genome Sequences of Three Phytopathogenic Species of the Magnaporthaceae Family of Fungi.","year":2015,"url":"http://doi.org/10.1534/g3.115.020057","authors":"Okagaki LH,Nunes CC,Sailsbery J,Clay B,Brown D,John T,Oh Y,Young N,Fitzgerald M,Haas BJ,Zeng Q,Young S,Adiconis X,Fan L,Levin JZ,Mitchell TK,Okubara PA,Farman ML,Kohn LM,Birren B,Ma LJ,Dean RA","journal":"G3 (Bethesda)","doi":"10.1534/g3.115.020057","created_at":"2021-09-30T08:25:18.803Z","updated_at":"2021-09-30T08:25:18.803Z"},{"id":1596,"pubmed_id":15846337,"title":"The genome sequence of the rice blast fungus Magnaporthe grisea.","year":2005,"url":"http://doi.org/10.1038/nature03449","authors":"Dean RA,Talbot NJ,Ebbole DJ,Farman ML,Mitchell TK,Orbach MJ,Thon M,Kulkarni R,Xu JR,Pan H,Read ND,Lee YH,Carbone I,Brown D,Oh YY,Donofrio N,Jeong JS,Soanes DM,Djonovic S,Kolomiets E,Rehmeyer C,Li W,Harding M,Kim S,Lebrun MH,Bohnert H,Coughlan S,Butler J,Calvo S,Ma LJ,Nicol R,Purcell S,Nusbaum C,Galagan JE,Birren BW","journal":"Nature","doi":"10.1038/nature03449","created_at":"2021-09-30T08:25:18.961Z","updated_at":"2021-09-30T08:25:18.961Z"}],"licence_links":[],"grants":[{"id":778,"fairsharing_record_id":1791,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:24:43.720Z","updated_at":"2021-09-30T09:24:43.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":780,"fairsharing_record_id":1791,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:43.797Z","updated_at":"2021-09-30T09:29:17.327Z","grant_id":178,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB-0333269","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":779,"fairsharing_record_id":1791,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:43.756Z","updated_at":"2021-09-30T09:30:21.240Z","grant_id":671,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"5T32-AI052080-09","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1772","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:12.814Z","metadata":{"doi":"10.25504/FAIRsharing.3b36hk","name":"BindingDB database of measured binding affinities","status":"ready","contacts":[{"contact_name":"Michael K. Gilson","contact_email":"mgilson@health.ucsd.edu","contact_orcid":"0000-0002-3375-1738"}],"homepage":"http://www.bindingdb.org","citations":[],"identifier":1772,"description":"BindingDB enables research by making a growing collection of high-quality, quantitative, protein-ligand binding data findable and usable. Funded by NIGMS/NIH.","abbreviation":"BindingDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.bindingdb.org/bind/sendmail.jsp","type":"Contact form"},{"url":"http://www.bindingdb.org/bind/info.jsp","type":"Help documentation"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"http://www.bindingdb.org/bind/BySequence.jsp","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012074","name":"re3data:r3d100012074","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000390","name":"SciCrunch:RRID:SCR_000390","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.bindingdb.org/rwd/bind/index.jsp","type":"open","notes":"Users can inform that some relevant patents are missing so as the resource team curate them"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000230","bsg-d000230"],"name":"FAIRsharing record for: BindingDB database of measured binding affinities","abbreviation":"BindingDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3b36hk","doi":"10.25504/FAIRsharing.3b36hk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BindingDB enables research by making a growing collection of high-quality, quantitative, protein-ligand binding data findable and usable. Funded by NIGMS/NIH.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19988}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Drug Discovery","Chemistry","Life Science","Computational Chemistry","Medicinal Chemistry"],"domains":["Protein interaction","Drug binding","Drug interaction","Affinity","Protein","Binding site"],"taxonomies":["Not applicable"],"user_defined_tags":["Drug-like compound","Drug Target"],"countries":["United States"],"publications":[{"id":474,"pubmed_id":17145705,"title":"BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities.","year":2006,"url":"http://doi.org/10.1093/nar/gkl999","authors":"Liu T., Lin Y., Wen X., Jorissen RN., Gilson MK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl999","created_at":"2021-09-30T08:23:11.509Z","updated_at":"2021-09-30T08:23:11.509Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Generic (CC BY-NC-ND 2.5)","licence_id":175,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/","link_id":230,"relation":"undefined"}],"grants":[{"id":723,"fairsharing_record_id":1772,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:41.700Z","updated_at":"2021-09-30T09:30:40.442Z","grant_id":815,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"9808318","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":724,"fairsharing_record_id":1772,"organisation_id":218,"relation":"maintains","created_at":"2021-09-30T09:24:41.733Z","updated_at":"2021-09-30T09:24:41.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":218,"name":"BindingDB","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":722,"fairsharing_record_id":1772,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:41.667Z","updated_at":"2021-09-30T09:31:06.918Z","grant_id":1023,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM070064","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1773","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:32.126Z","metadata":{"doi":"10.25504/FAIRsharing.en9npn","name":"The Barcode of Life Data Systems","status":"ready","contacts":[{"contact_name":"Paul D N Hebert","contact_email":"phebert@uoguelph.ca","contact_orcid":"0000-0002-3081-6700"}],"homepage":"https://www.boldsystems.org/","citations":[],"identifier":1773,"description":"The Barcode of Life Data Systems (BOLD) is an online workbench that aids collection, management, analysis, and use of DNA barcodes. It consists of 3 components (MAS, IDS, and ECS) that each address the needs of various groups in the barcoding community.","abbreviation":"BOLD","data_curation":{"type":"automated"},"support_links":[{"url":"info@boldsystems.org","name":"Information Desk","type":"Support email"},{"url":"https://www.boldsystems.org/index.php/resources/boldfaq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.boldsystems.org/index.php/resources/handbook?chapter=1_gettingstarted.html","type":"Help documentation"},{"url":"support@boldsystems.org","name":"Help Desk","type":"Support email"},{"url":"https://www.boldsystems.org/libhtml_v3/static/BOLD4_Documentation_Draft1.pdf","name":"BOLD Print Handbook for BOLD v4","type":"Help documentation"},{"url":"https://www.boldsystems.org/index.php/Resources","name":"BOLD Print Handbook for BOLD v3","type":"Help documentation"},{"url":"https://www.boldsystems.org/index.php/NewsFeed","type":"Blog/News"}],"year_creation":2004,"data_versioning":"no","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010927","name":"re3data:r3d100010927","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004278","name":"SciCrunch:RRID:SCR_004278","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000231","bsg-d000231"],"name":"FAIRsharing record for: The Barcode of Life Data Systems","abbreviation":"BOLD","url":"https://fairsharing.org/10.25504/FAIRsharing.en9npn","doi":"10.25504/FAIRsharing.en9npn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Barcode of Life Data Systems (BOLD) is an online workbench that aids collection, management, analysis, and use of DNA barcodes. It consists of 3 components (MAS, IDS, and ECS) that each address the needs of various groups in the barcoding community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Taxonomy","Biodiversity","Life Science"],"domains":["Taxonomic classification","Nucleic acid sequence","Annotation","Sequence annotation","Deoxyribonucleic acid","Software","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":297,"pubmed_id":18784790,"title":"bold: The Barcode of Life Data System (http://www.barcodinglife.org).","year":2008,"url":"http://doi.org/10.1111/j.1471-8286.2007.01678.x","authors":"Ratnasingham S., Hebert PD.,","journal":"Mol. Ecol. Notes","doi":"10.1111/j.1471-8286.2007.01678.x","created_at":"2021-09-30T08:22:52.015Z","updated_at":"2021-09-30T08:22:52.015Z"}],"licence_links":[],"grants":[{"id":8849,"fairsharing_record_id":1773,"organisation_id":1166,"relation":"collaborates_on","created_at":"2022-02-10T13:33:11.055Z","updated_at":"2022-02-10T13:33:11.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":725,"fairsharing_record_id":1773,"organisation_id":229,"relation":"maintains","created_at":"2021-09-30T09:24:41.766Z","updated_at":"2021-09-30T09:24:41.766Z","grant_id":null,"is_lead":false,"saved_state":{"id":229,"name":"Biodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8850,"fairsharing_record_id":1773,"organisation_id":2614,"relation":"collaborates_on","created_at":"2022-02-10T13:34:06.993Z","updated_at":"2022-02-10T13:34:06.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2614,"name":"Species 2000 Secretariat, Naturalis Biodiversity Center, Leiden, The Netherlands","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":9426,"fairsharing_record_id":1773,"organisation_id":3476,"relation":"undefined","created_at":"2022-04-14T09:36:11.393Z","updated_at":"2022-04-14T09:36:11.393Z","grant_id":null,"is_lead":false,"saved_state":{"id":3476,"name":"International Barcode of Life","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":9427,"fairsharing_record_id":1773,"organisation_id":3478,"relation":"funds","created_at":"2022-04-14T09:36:11.426Z","updated_at":"2022-04-14T09:36:11.426Z","grant_id":null,"is_lead":false,"saved_state":{"id":3478,"name":"Government of Ontario","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9428,"fairsharing_record_id":1773,"organisation_id":3477,"relation":"funds","created_at":"2022-04-14T09:36:11.444Z","updated_at":"2022-04-14T09:36:11.444Z","grant_id":null,"is_lead":false,"saved_state":{"id":3477,"name":"Canada First Research Excellence Fund","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9429,"fairsharing_record_id":1773,"organisation_id":354,"relation":"funds","created_at":"2022-04-14T09:36:11.460Z","updated_at":"2022-04-14T09:36:11.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9430,"fairsharing_record_id":1773,"organisation_id":2101,"relation":"funds","created_at":"2022-04-14T09:36:11.495Z","updated_at":"2022-04-14T09:36:11.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBNZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ea993f71bac039df81cbd12bc1321624f9b791e3/BOLDlogo.png?disposition=inline","exhaustive_licences":false}},{"id":"1774","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-09T09:22:46.718Z","metadata":{"doi":"10.25504/FAIRsharing.gf8yhy","name":"Non-Ribosomal Peptides Database","status":"ready","contacts":[{"contact_name":"Norine team","contact_email":"norine@univ-lille.fr"}],"homepage":"https://norine.univ-lille.fr/norine/","citations":[],"identifier":1774,"description":"Norine is a platform that includes a database of nonribosomal peptides together with tools for their analysis.","abbreviation":"NORINE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"norine@univ-lille.fr","name":"Norine team","type":"Support email"},{"url":"https://bioinfo.cristal.univ-lille.fr/norine/help.jsp","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"url":"https://norine.univ-lille.fr/norine/terms.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://norine.univ-lille.fr/norine/my/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000232","bsg-d000232"],"name":"FAIRsharing record for: Non-Ribosomal Peptides Database","abbreviation":"NORINE","url":"https://fairsharing.org/10.25504/FAIRsharing.gf8yhy","doi":"10.25504/FAIRsharing.gf8yhy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Norine is a platform that includes a database of nonribosomal peptides together with tools for their analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1431,"pubmed_id":17913739,"title":"NORINE: a database of nonribosomal peptides.","year":2007,"url":"http://doi.org/10.1093/nar/gkm792","authors":"Caboche S., Pupin M., Leclère V., Fontaine A., Jacques P., Kucherov G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm792","created_at":"2021-09-30T08:25:00.024Z","updated_at":"2021-09-30T08:25:00.024Z"},{"id":3484,"pubmed_id":null,"title":"Norine: update of the nonribosomal peptide resource","year":2019,"url":"http://academic.oup.com/nar/article/48/D1/D465/5613672","authors":" Areski Flissi, Emma Ricart, Clémentine Campart, Mickael Chevalier, Yoann Dufresne, Juraj Michalik, Philippe Jacques, Christophe Flahaut, Frédérique Lisacek, Valérie Leclère, Maude Pupin","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1000","created_at":"2022-07-21T08:42:51.042Z","updated_at":"2022-07-21T08:42:51.042Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1470,"relation":"undefined"}],"grants":[{"id":726,"fairsharing_record_id":1774,"organisation_id":3602,"relation":"maintains","created_at":"2021-09-30T09:24:41.801Z","updated_at":"2022-07-21T08:46:28.152Z","grant_id":null,"is_lead":true,"saved_state":{"id":3602,"name":"Université de Lille","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1775","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:09:33.418Z","metadata":{"doi":"10.25504/FAIRsharing.hm0s3e","name":"Therapeutically Relevant Multiple Pathways Database","status":"deprecated","contacts":[{"contact_name":"LianYi Han","contact_email":"lyhan@cz3.nus.edu.sg"}],"homepage":"http://bidd.nus.edu.sg/group/trmp/trmp_ns.asp","identifier":1775,"description":"The Therapeutically Relevant Multiple Pathways Database is designed to provide information about such multiple pathways and related therapeutic targets described in the literatures, the targeted disease conditions, and the corresponding drugs/ligands directed at each of these targets. This resource has been marked as Uncertain because its project home can no longer be found either with a general search or on the founding group's website at http://bidd.group/group/about.htm. Please get in touch if you have any information about this resource.","abbreviation":"TRMP","data_curation":{"type":"not found"},"support_links":[{"url":"http://bidd.nus.edu.sg/group/trmp/search.asp#querylang","type":"Help documentation"},{"url":"http://bidd.nus.edu.sg/group/trmp/legend.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000233","bsg-d000233"],"name":"FAIRsharing record for: Therapeutically Relevant Multiple Pathways Database","abbreviation":"TRMP","url":"https://fairsharing.org/10.25504/FAIRsharing.hm0s3e","doi":"10.25504/FAIRsharing.hm0s3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Therapeutically Relevant Multiple Pathways Database is designed to provide information about such multiple pathways and related therapeutic targets described in the literatures, the targeted disease conditions, and the corresponding drugs/ligands directed at each of these targets. This resource has been marked as Uncertain because its project home can no longer be found either with a general search or on the founding group's website at http://bidd.group/group/about.htm. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Disease","Pathway model","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug Target"],"countries":["Singapore"],"publications":[{"id":551,"pubmed_id":15059817,"title":"TRMP: a database of therapeutically relevant multiple pathways.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth233","authors":"Zheng CJ., Zhou H., Xie B., Han LY., Yap CW., Chen YZ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth233","created_at":"2021-09-30T08:23:20.151Z","updated_at":"2021-09-30T08:23:20.151Z"}],"licence_links":[],"grants":[{"id":727,"fairsharing_record_id":1775,"organisation_id":237,"relation":"maintains","created_at":"2021-09-30T09:24:41.822Z","updated_at":"2021-09-30T09:24:41.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":237,"name":"Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1776","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-17T09:09:59.556Z","metadata":{"doi":"10.25504/FAIRsharing.8ye60e","name":"Agile Protein Interactomes Dataserver","status":"ready","contacts":[{"contact_name":"Javier De Las Rivas","contact_email":"jrivas@usal.es","contact_orcid":"0000-0002-0984-9946"},{"contact_name":"Diego Alonso López","contact_email":"diego.alonso@usal.es","contact_orcid":"0000-0003-1015-9923"}],"homepage":"http://apid.dep.usal.es/","citations":[{"doi":"10.1093/nar/gkw363","pubmed_id":27131791,"publication_id":1804}],"identifier":1776,"description":"APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier.","abbreviation":"APID Interactomes","data_curation":{"url":"http://cicblade.dep.usal.es:8080/APID/init.action#subtab2","type":"automated"},"support_links":[{"url":"http://cicblade.dep.usal.es:8080/APID/init.action#tabr4","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012339","name":"re3data:r3d100012339","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008871","name":"SciCrunch:RRID:SCR_008871","portal":"SciCrunch"},{"url":"https://bio.tools/apid","name":"Elixir bio.tools","portal":"Other"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000234","bsg-d000234"],"name":"FAIRsharing record for: Agile Protein Interactomes Dataserver","abbreviation":"APID Interactomes","url":"https://fairsharing.org/10.25504/FAIRsharing.8ye60e","doi":"10.25504/FAIRsharing.8ye60e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein interaction","Interactome","Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1082,"pubmed_id":17644818,"title":"APID2NET: unified interactome graphic analyzer.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm373","authors":"Hernandez-Toro J,Prieto C,De las Rivas J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm373","created_at":"2021-09-30T08:24:19.889Z","updated_at":"2021-09-30T08:24:19.889Z"},{"id":1804,"pubmed_id":27131791,"title":"APID interactomes: providing proteome-based interactomes with controlled quality for multiple species and derived networks.","year":2016,"url":"https://academic.oup.com/nar/article/44/W1/W529/2499348","authors":"Alonso-Lopez D,Gutierrez MA,Lopes KP,Prieto C,Santamaria R,De Las Rivas J","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw363","created_at":"2021-09-30T08:25:42.546Z","updated_at":"2021-09-30T08:25:42.546Z"},{"id":1910,"pubmed_id":16845013,"title":"APID: Agile Protein Interaction DataAnalyzer.","year":2006,"url":"http://doi.org/10.1093/nar/gkl128","authors":"Prieto C., De Las Rivas J.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl128","created_at":"2021-09-30T08:25:54.769Z","updated_at":"2021-09-30T11:29:23.441Z"},{"id":2090,"pubmed_id":30715274,"title":"APID database: redefining protein-protein interaction experimental evidences and binary interactomes.","year":2019,"url":"https://academic.oup.com/database/article/doi/10.1093/database/baz005/5304002","authors":"Alonso-Lopez D,Campos-Laborie FJ,Gutierrez MA,Lambourne L,Calderwood MA,Vidal M,De Las Rivas J","journal":"Database (Oxford)","doi":"10.1093/database/baz005","created_at":"2021-09-30T08:26:15.566Z","updated_at":"2021-09-30T08:26:15.566Z"}],"licence_links":[],"grants":[{"id":731,"fairsharing_record_id":1776,"organisation_id":520,"relation":"maintains","created_at":"2021-09-30T09:24:41.922Z","updated_at":"2024-06-14T08:39:54.261Z","grant_id":null,"is_lead":true,"saved_state":{"id":520,"name":"CIC (Centro de Investigacion del Cancer), Cancer Research Institute of Salamanca CSIC-USAL University, Salamanca, Spain","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":729,"fairsharing_record_id":1776,"organisation_id":894,"relation":"funds","created_at":"2021-09-30T09:24:41.872Z","updated_at":"2021-09-30T09:31:53.261Z","grant_id":1372,"is_lead":false,"saved_state":{"id":894,"name":"EU Joint Programme Neurodegenerative Disease Research","grant":"AC14/00024","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":728,"fairsharing_record_id":1776,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:24:41.849Z","updated_at":"2021-09-30T09:32:30.172Z","grant_id":1649,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PI12/00624","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":730,"fairsharing_record_id":1776,"organisation_id":2416,"relation":"funds","created_at":"2021-09-30T09:24:41.899Z","updated_at":"2021-09-30T09:30:53.907Z","grant_id":924,"is_lead":false,"saved_state":{"id":2416,"name":"Junta de Castilla y León, Regional Government","grant":"BIO/SA68/13","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1625","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-14T07:44:32.062Z","metadata":{"doi":"10.25504/FAIRsharing.y3scf6","name":"Protein Families","status":"deprecated","contacts":[{"contact_name":"Alex Bateman","contact_email":"agb@ebi.ac.uk","contact_orcid":"0000-0002-6982-4660"}],"homepage":"http://pfam.xfam.org/","citations":[{"doi":"10.1093/nar/gky995","pubmed_id":30357350,"publication_id":2380}],"identifier":1625,"description":"The Pfam database is a large collection of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs). Pfam also generates higher-level groupings of related entries, known as clans. A clan is a collection of Pfam entries which are related by similarity of sequence, structure or profile-HMM.","abbreviation":"Pfam","data_curation":{},"support_links":[{"url":"http://xfam.wordpress.com/tag/pfam/","name":"Pfam Blog","type":"Blog/News"},{"url":"pfam-help@ebi.ac.uk","name":"HelpDesk","type":"Support email"},{"url":"http://pfam.xfam.org/help#tabview=tab4","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://pfam.xfam.org/help","name":"Help Pages","type":"Help documentation"},{"url":"pfamlist-subscribe@ebi.ac.uk","type":"Mailing list"},{"url":"http://pfam.xfam.org/about","name":"About","type":"Help documentation"},{"url":"http://pfam.xfam.org/about","name":"About Pfam","type":"Help documentation"},{"url":"http://xfam.wordpress.com/tag/pfam/feed/","name":"RSS Feed","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/bioinformatics-gene-protein-structure-function","name":"Bioinformatics: Gene-protein-structure-function","type":"TeSS links to training materials"},{"url":"http://pfam.xfam.org/help#tabview=tab3","name":"Online Training","type":"Training documentation"},{"url":"https://twitter.com/Xfam_EBI","name":"@Xfam_EBI","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Pfam","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1996,"data_versioning":"not found","associated_tools":[{"url":"http://hmmer.org","name":"HMMER3 v3.2.1"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012850","name":"re3data:r3d100012850","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004726","name":"SciCrunch:RRID:SCR_004726","portal":"SciCrunch"}],"deprecation_date":"2023-06-13","deprecation_reason":"The Pfam website (pfam.xfam.org) is now decomissioned. And all Pfam data is now hosted at InterPro (www.ebi.ac.uk/interpro).","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000081","bsg-d000081"],"name":"FAIRsharing record for: Protein Families","abbreviation":"Pfam","url":"https://fairsharing.org/10.25504/FAIRsharing.y3scf6","doi":"10.25504/FAIRsharing.y3scf6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pfam database is a large collection of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs). Pfam also generates higher-level groupings of related entries, known as clans. A clan is a collection of Pfam entries which are related by similarity of sequence, structure or profile-HMM.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11323},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12156},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12590}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Functional domain","Hidden Markov model","Sequence similarity","Protein domain","Multiple sequence alignment","Computational biological predictions","Function analysis","Proteome","Binding motif","Evolution","Sequence alignment","Protein","Amino acid sequence","Sequence motif","Biocuration"],"taxonomies":["All"],"user_defined_tags":["Evolutionary relationship between proteins via sequence similarity"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":664,"pubmed_id":22127870,"title":"The Pfam protein families database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1065","authors":"Punta M., Coggill PC., Eberhardt RY., Mistry J., Tate J., Boursnell C., Pang N., Forslund K., Ceric G., Clements J., Heger A., Holm L., Sonnhammer EL., Eddy SR., Bateman A., Finn RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1065","created_at":"2021-09-30T08:23:33.296Z","updated_at":"2021-09-30T08:23:33.296Z"},{"id":904,"pubmed_id":33125078,"title":"Pfam: The protein families database in 2021.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa913","authors":"Mistry J,Chuguransky S,Williams L,Qureshi M,Salazar GA,Sonnhammer ELL,Tosatto SCE,Paladin L,Raj S,Richardson LJ,Finn RD,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa913","created_at":"2021-09-30T08:23:59.836Z","updated_at":"2021-09-30T11:28:55.101Z"},{"id":911,"pubmed_id":19920124,"title":"The Pfam protein families database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp985","authors":"Finn RD., Mistry J., Tate J., Coggill P., Heger A., Pollington JE., Gavin OL., Gunasekaran P., Ceric G., Forslund K., Holm L., Sonnhammer EL., Eddy SR., Bateman A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp985","created_at":"2021-09-30T08:24:00.612Z","updated_at":"2021-09-30T08:24:00.612Z"},{"id":1073,"pubmed_id":9223186,"title":"Pfam: a comprehensive database of protein domain families based on seed alignments.","year":1997,"url":"http://doi.org/10.1002/(sici)1097-0134(199707)28:3\u003c405::aid-prot10\u003e3.0.co;2-l","authors":"Sonnhammer EL,Eddy SR,Durbin R","journal":"Proteins","doi":"10.1002/(sici)1097-0134(199707)28:3\u003c405::aid-prot10\u003e3.0.co;2-l","created_at":"2021-09-30T08:24:18.829Z","updated_at":"2021-09-30T08:24:18.829Z"},{"id":2295,"pubmed_id":26673716,"title":"The Pfam protein families database: towards a more sustainable future.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1344","authors":"Finn RD,Coggill P,Eberhardt RY,Eddy SR,Mistry J,Mitchell AL,Potter SC,Punta M,Qureshi M,Sangrador-Vegas A,Salazar GA,Tate J,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1344","created_at":"2021-09-30T08:26:40.209Z","updated_at":"2021-09-30T11:29:32.562Z"},{"id":2296,"pubmed_id":24288371,"title":"Pfam: the protein families database.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1223","authors":"Finn RD,Bateman A,Clements J,Coggill P,Eberhardt RY,Eddy SR,Heger A,Hetherington K,Holm L,Mistry J,Sonnhammer EL,Tate J,Punta M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1223","created_at":"2021-09-30T08:26:40.493Z","updated_at":"2021-09-30T11:29:32.662Z"},{"id":2327,"pubmed_id":18039703,"title":"The Pfam protein families database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm960","authors":"Finn RD,Tate J,Mistry J,Coggill PC,Sammut SJ,Hotz HR,Ceric G,Forslund K,Eddy SR,Sonnhammer EL,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm960","created_at":"2021-09-30T08:26:45.675Z","updated_at":"2021-09-30T11:29:33.119Z"},{"id":2328,"pubmed_id":16381856,"title":"Pfam: clans, web tools and services.","year":2005,"url":"http://doi.org/10.1093/nar/gkj149","authors":"Finn RD,Mistry J,Schuster-Bockler B,Griffiths-Jones S,Hollich V,Lassmann T,Moxon S,Marshall M,Khanna A,Durbin R,Eddy SR,Sonnhammer EL,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj149","created_at":"2021-09-30T08:26:45.841Z","updated_at":"2021-09-30T11:29:33.211Z"},{"id":2380,"pubmed_id":30357350,"title":"The Pfam protein families database in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky995","authors":"El-Gebali S,Mistry J,Bateman A,Eddy SR,Luciani A,Potter SC,Qureshi M,Richardson LJ,Salazar GA,Smart A,Sonnhammer ELL,Hirsh L,Paladin L,Piovesan D,Tosatto SCE,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky995","created_at":"2021-09-30T08:26:52.458Z","updated_at":"2021-09-30T11:29:34.411Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2321,"relation":"undefined"}],"grants":[{"id":260,"fairsharing_record_id":1625,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:24.155Z","updated_at":"2021-09-30T09:24:24.155Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":265,"fairsharing_record_id":1625,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:24.304Z","updated_at":"2021-09-30T09:24:24.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":264,"fairsharing_record_id":1625,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:24.273Z","updated_at":"2021-09-30T09:29:24.346Z","grant_id":234,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"108433/Z/15/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":266,"fairsharing_record_id":1625,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:24.346Z","updated_at":"2021-09-30T09:32:47.048Z","grant_id":1776,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R01-HG009116","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":268,"fairsharing_record_id":1625,"organisation_id":904,"relation":"funds","created_at":"2021-09-30T09:24:24.416Z","updated_at":"2021-09-30T09:28:53.560Z","grant_id":3,"is_lead":false,"saved_state":{"id":904,"name":"EuroKUP COST Action","grant":"BM1405 NGP-net","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7890,"fairsharing_record_id":1625,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:29:29.908Z","updated_at":"2021-09-30T09:29:29.995Z","grant_id":273,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT077044/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":258,"fairsharing_record_id":1625,"organisation_id":2645,"relation":"maintains","created_at":"2021-09-30T09:24:24.074Z","updated_at":"2021-09-30T09:24:24.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":2645,"name":"Stockholm University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":259,"fairsharing_record_id":1625,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:24.112Z","updated_at":"2021-09-30T09:24:24.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":261,"fairsharing_record_id":1625,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:24.192Z","updated_at":"2021-09-30T09:24:24.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":263,"fairsharing_record_id":1625,"organisation_id":727,"relation":"maintains","created_at":"2021-09-30T09:24:24.248Z","updated_at":"2021-09-30T09:24:24.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":727,"name":"Department of Molecular and Cell Biology, Harvard University, Cambridge, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":267,"fairsharing_record_id":1625,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:24:24.384Z","updated_at":"2021-09-30T09:29:33.353Z","grant_id":298,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654039","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":262,"fairsharing_record_id":1625,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:24.224Z","updated_at":"2021-09-30T09:31:59.317Z","grant_id":1418,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024136/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZzhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--65b6671d262ed136262c52601f18a4e5abf2bffa/pfam_logo_large.png?disposition=inline","exhaustive_licences":false}},{"id":"1626","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:10:42.001Z","metadata":{"doi":"10.25504/FAIRsharing.bp5hpt","name":"Phenomics of yeast Mutants","status":"deprecated","contacts":[{"contact_name":"Brenda Andrews","contact_email":"brenda.andrews@utoronto.ca"}],"homepage":"http://phenom.ccbr.utoronto.ca/","citations":[],"identifier":1626,"description":"PhenoM (Phenomics of yeast Mutants) stores, retrieves, visualises and data mines the quantitative single-cell measurements extracted from micrographs of temperature-sensitive mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations.","abbreviation":"PhenoM","data_curation":{"type":"manual"},"support_links":[{"url":"http://phenom.ccbr.utoronto.ca/help.jsp","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012722","name":"re3data:r3d100012722","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006970","name":"SciCrunch:RRID:SCR_006970","portal":"SciCrunch"}],"deprecation_date":"2022-07-13","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000082","bsg-d000082"],"name":"FAIRsharing record for: Phenomics of yeast Mutants","abbreviation":"PhenoM","url":"https://fairsharing.org/10.25504/FAIRsharing.bp5hpt","doi":"10.25504/FAIRsharing.bp5hpt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhenoM (Phenomics of yeast Mutants) stores, retrieves, visualises and data mines the quantitative single-cell measurements extracted from micrographs of temperature-sensitive mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Mining","Life Science"],"domains":["Gene Ontology enrichment","Image","Mutation","Phenotype","Morphology","Gene"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":130,"pubmed_id":21441928,"title":"Systematic exploration of essential yeast gene function with temperature-sensitive mutants.","year":2011,"url":"http://doi.org/10.1038/nbt.1832","authors":"Li Z., Vizeacoumar FJ., Bahr S., Li J., Warringer J., Vizeacoumar FS., Min R., Vandersluis B., Bellay J., Devit M., Fleming JA., Stephens A., Haase J., Lin ZY., Baryshnikova A., Lu H., Yan Z., Jin K., Barker S., Datti A., Giaever G., Nislow C., Bulawa C., Myers CL., Costanzo M., Gingras AC., Zhang Z., Blomberg A., Bloom K., Andrews B., Boone C.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt.1832","created_at":"2021-09-30T08:22:34.247Z","updated_at":"2021-09-30T08:22:34.247Z"},{"id":1576,"pubmed_id":22009677,"title":"PhenoM: a database of morphological phenotypes caused by mutation of essential genes in Saccharomyces cerevisiae.","year":2011,"url":"http://doi.org/10.1093/nar/gkr827","authors":"Jin K,Li J,Vizeacoumar FS,Li Z,Min R,Zamparo L,Vizeacoumar FJ,Datti A,Andrews B,Boone C,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr827","created_at":"2021-09-30T08:25:16.676Z","updated_at":"2021-09-30T11:29:14.311Z"}],"licence_links":[],"grants":[{"id":269,"fairsharing_record_id":1626,"organisation_id":164,"relation":"maintains","created_at":"2021-09-30T09:24:24.459Z","updated_at":"2021-09-30T09:24:24.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":164,"name":"Banting and Best Department of Medical Research, The Donnelly Centre, University of Toronto, Ontario, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":271,"fairsharing_record_id":1626,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:24.555Z","updated_at":"2021-09-30T09:29:13.078Z","grant_id":143,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","grant":"MOP-97939","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":270,"fairsharing_record_id":1626,"organisation_id":2245,"relation":"funds","created_at":"2021-09-30T09:24:24.512Z","updated_at":"2021-09-30T09:29:04.217Z","grant_id":79,"is_lead":false,"saved_state":{"id":2245,"name":"Ontario Genomics, Toronto, ON, Canada","grant":"2004-OGI-3-01","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1628","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:23.635Z","metadata":{"doi":"10.25504/FAIRsharing.jskz3k","name":"Plantmetabolomics.org","status":"deprecated","homepage":"http://www.plantmetabolomics.org","identifier":1628,"description":"Arabidopsis metabolomics database which provides researchers with resources to investigate the function of genes and metabolites.","abbreviation":"Plantmetabolomics.org","data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000084","bsg-d000084"],"name":"FAIRsharing record for: Plantmetabolomics.org","abbreviation":"Plantmetabolomics.org","url":"https://fairsharing.org/10.25504/FAIRsharing.jskz3k","doi":"10.25504/FAIRsharing.jskz3k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Arabidopsis metabolomics database which provides researchers with resources to investigate the function of genes and metabolites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Mass spectrum","Image","Stereo microscope"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1395,"pubmed_id":20147492,"title":"PlantMetabolomics.org: a web portal for plant metabolomics experiments.","year":2010,"url":"http://doi.org/10.1104/pp.109.151027","authors":"Bais P., Moon SM., He K., Leitao R., Dreher K., Walk T., Sucaet Y., Barkan L., Wohlgemuth G., Roth MR., Wurtele ES., Dixon P., Fiehn O., Lange BM., Shulaev V., Sumner LW., Welti R., Nikolau BJ., Rhee SY., Dickerson JA.,","journal":"Plant Physiol.","doi":"10.1104/pp.109.151027","created_at":"2021-09-30T08:24:55.968Z","updated_at":"2021-09-30T08:24:55.968Z"}],"licence_links":[],"grants":[{"id":278,"fairsharing_record_id":1628,"organisation_id":235,"relation":"maintains","created_at":"2021-09-30T09:24:24.838Z","updated_at":"2021-09-30T09:24:24.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":235,"name":"Bioinformatics and Computational Biology Program, Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology (BBMB), Iowa State University, Ames, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":279,"fairsharing_record_id":1628,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:24.876Z","updated_at":"2021-09-30T09:32:25.462Z","grant_id":1613,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB 08200823","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1629","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:27:24.671Z","metadata":{"doi":"10.25504/FAIRsharing.rn1pxg","name":"Plant Natural Antisense Transcripts Database","status":"deprecated","contacts":[{"contact_name":"Ling-Ling Chen","contact_email":"llchen@mail.hzau.edu.cn"}],"homepage":"http://bis.zju.edu.cn/pnatdb/","identifier":1629,"description":"Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs.","abbreviation":"PlantNATsDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://bis.zju.edu.cn/pnatdb/document/","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000085","bsg-d000085"],"name":"FAIRsharing record for: Plant Natural Antisense Transcripts Database","abbreviation":"PlantNATsDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rn1pxg","doi":"10.25504/FAIRsharing.rn1pxg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene name","DNA sequence data","Gene model annotation","Molecular function","Cellular component","Biological process","Untranslated RNA","Transcript"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":702,"pubmed_id":22058132,"title":"PlantNATsDB: a comprehensive database of plant natural antisense transcripts","year":2011,"url":"http://doi.org/10.1093/nar/gkr823","authors":"Dijun Chen, Chunhui Yuan, Jian Zhang, Zhao Zhang, Lin Bai, Yijun Meng, Ling-Ling Chen, and Ming Chen","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr823","created_at":"2021-09-30T08:23:37.386Z","updated_at":"2021-09-30T08:23:37.386Z"}],"licence_links":[],"grants":[{"id":281,"fairsharing_record_id":1629,"organisation_id":1843,"relation":"maintains","created_at":"2021-09-30T09:24:24.932Z","updated_at":"2021-09-30T09:24:24.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":1843,"name":"Ming Chen's Lab, Zhejiang University, Hangzhou, China","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":284,"fairsharing_record_id":1629,"organisation_id":2365,"relation":"funds","created_at":"2021-09-30T09:24:25.030Z","updated_at":"2021-09-30T09:32:23.337Z","grant_id":1597,"is_lead":false,"saved_state":{"id":2365,"name":"Program for New Century Excellent Talents in University of China","grant":"NCET-07-0740","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8093,"fairsharing_record_id":1629,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:53.372Z","updated_at":"2021-09-30T09:30:53.430Z","grant_id":920,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31071659","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8275,"fairsharing_record_id":1629,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:52.207Z","updated_at":"2021-09-30T09:31:52.249Z","grant_id":1364,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30971743","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9023,"fairsharing_record_id":1629,"organisation_id":1872,"relation":"funds","created_at":"2022-03-24T14:23:07.598Z","updated_at":"2022-03-24T14:23:07.598Z","grant_id":947,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009DFA32030","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":280,"fairsharing_record_id":1629,"organisation_id":1271,"relation":"funds","created_at":"2021-09-30T09:24:24.908Z","updated_at":"2021-09-30T09:30:49.872Z","grant_id":891,"is_lead":false,"saved_state":{"id":1271,"name":"Huazhong Agricultural University, China","grant":"2010SC07","types":["University"],"is_lead":false,"relation":"funds"}},{"id":282,"fairsharing_record_id":1629,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:24.958Z","updated_at":"2021-09-30T09:30:10.306Z","grant_id":583,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31050110121","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1630","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:02:02.425Z","metadata":{"doi":"10.25504/FAIRsharing.8pjgwx","name":"PLEXdb","status":"deprecated","contacts":[{"contact_name":"Julie A Dickerson","contact_email":"julied@iastate.edu"}],"homepage":"http://www.plexdb.org/","identifier":1630,"description":"PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data.","abbreviation":"PLEXdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.plexdb.org/modules/PD_general/feedback.php","type":"Contact form"},{"url":"http://www.plexdb.org/modules/documentation/FAQs.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"http://www.plexdb.org/modules/glSuite/gl_main.php","name":"Gene List Suite"},{"url":"http://www.plexdb.org/modules/tools/genoscope/genoscope.php","name":"Gene OscilloScope"},{"url":"http://www.plexdb.org/modules/tools/plexdb_blast.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000086","bsg-d000086"],"name":"FAIRsharing record for: PLEXdb","abbreviation":"PLEXdb","url":"https://fairsharing.org/10.25504/FAIRsharing.8pjgwx","doi":"10.25504/FAIRsharing.8pjgwx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12591}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Gene"],"taxonomies":["Fungi","Nematoda","Oomycetes","Sinorhizobium meliloti","Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1848,"pubmed_id":18287702,"title":"BarleyBase/PLEXdb.","year":2008,"url":"http://doi.org/10.1007/978-1-59745-535-0_17","authors":"Wise RP., Caldo RA., Hong L., Shen L., Cannon E., Dickerson JA.,","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-59745-535-0_17","created_at":"2021-09-30T08:25:47.581Z","updated_at":"2021-09-30T08:25:47.581Z"},{"id":1849,"pubmed_id":22084198,"title":"PLEXdb: gene expression resources for plants and plant pathogens.","year":2011,"url":"http://doi.org/10.1093/nar/gkr938","authors":"Dash S,Van Hemert J,Hong L,Wise RP,Dickerson JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr938","created_at":"2021-09-30T08:25:47.732Z","updated_at":"2021-09-30T11:29:21.460Z"}],"licence_links":[],"grants":[{"id":285,"fairsharing_record_id":1630,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:25.067Z","updated_at":"2021-09-30T09:24:25.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":286,"fairsharing_record_id":1630,"organisation_id":2932,"relation":"maintains","created_at":"2021-09-30T09:24:25.105Z","updated_at":"2021-09-30T09:24:25.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":287,"fairsharing_record_id":1630,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:24:25.183Z","updated_at":"2021-09-30T09:24:25.183Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1631","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:53:16.869Z","metadata":{"doi":"10.25504/FAIRsharing.tc6df8","name":"Pocketome: an encyclopedia of small-molecule binding sites in 4D","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"pocketome@ucsd.edu"}],"homepage":"http://pocketome.org","citations":[],"identifier":1631,"description":"The Pocketome is an encyclopedia of conformational ensembles of druggable binding sites that can be identified experimentally from co-crystal structures in the Protein Data Bank. Each Pocketome entry describes a site on a protein surface that is involved in transient interactions with small molecules and peptides.","abbreviation":"Pocketome","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://www.molsoft.com/activeicm.html","name":"ActiveICM technology"}],"deprecation_date":"2021-11-03","deprecation_reason":"This resource was deprecated because the homepage is no longer functional and a new site for the resource could not be found. Please get in touch with us if you have any information about this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000087","bsg-d000087"],"name":"FAIRsharing record for: Pocketome: an encyclopedia of small-molecule binding sites in 4D","abbreviation":"Pocketome","url":"https://fairsharing.org/10.25504/FAIRsharing.tc6df8","doi":"10.25504/FAIRsharing.tc6df8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pocketome is an encyclopedia of conformational ensembles of druggable binding sites that can be identified experimentally from co-crystal structures in the Protein Data Bank. Each Pocketome entry describes a site on a protein surface that is involved in transient interactions with small molecules and peptides.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Small molecule","Structure","Binding site","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1449,"pubmed_id":22080553,"title":"Pocketome: an encyclopedia of small-molecule binding sites in 4D.","year":2011,"url":"http://doi.org/10.1093/nar/gkr825","authors":"Kufareva I,Ilatovskiy AV,Abagyan R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr825","created_at":"2021-09-30T08:25:01.966Z","updated_at":"2021-09-30T11:29:08.517Z"},{"id":2238,"pubmed_id":19727619,"title":"The flexible pocketome engine for structural chemogenomics.","year":2009,"url":"http://doi.org/10.1007/978-1-60761-274-2_11","authors":"Abagyan R., Kufareva I.,","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-60761-274-2_11","created_at":"2021-09-30T08:26:32.242Z","updated_at":"2021-09-30T08:26:32.242Z"}],"licence_links":[],"grants":[{"id":8007,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:21.665Z","updated_at":"2021-09-30T09:30:21.704Z","grant_id":675,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"RC2 LM010994","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8064,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:44.437Z","updated_at":"2021-09-30T09:30:44.483Z","grant_id":847,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM071872","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":289,"fairsharing_record_id":1631,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:25.267Z","updated_at":"2021-09-30T09:24:25.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":290,"fairsharing_record_id":1631,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:24:25.294Z","updated_at":"2021-09-30T09:24:25.294Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":291,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:25.330Z","updated_at":"2021-09-30T09:30:08.130Z","grant_id":566,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 GM094618","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8330,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:07.653Z","updated_at":"2021-09-30T09:32:07.732Z","grant_id":1481,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 GM094612","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1633","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:06.313Z","metadata":{"doi":"10.25504/FAIRsharing.4bt49f","name":"Polymorphism in microRNAs and their TargetSites","status":"ready","contacts":[{"contact_name":"Yan Cui","contact_email":"ycui2@uthsc.edu"}],"homepage":"http://compbio.uthsc.edu/miRSNP/","identifier":1633,"description":"PolymiRTS (Polymorphism in microRNAs and their TargetSites) is a database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression.","abbreviation":"PolymiRTS","data_curation":{"url":"https://compbio.uthsc.edu/miRSNP/","type":"manual"},"support_links":[{"url":"http://compbio.uthsc.edu/miRSNP/help.php","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/PolymiRTS","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"http://compbio.uthsc.edu/miRSNP/batchsearch.php","name":"Batch Search"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000089","bsg-d000089"],"name":"FAIRsharing record for: Polymorphism in microRNAs and their TargetSites","abbreviation":"PolymiRTS","url":"https://fairsharing.org/10.25504/FAIRsharing.4bt49f","doi":"10.25504/FAIRsharing.4bt49f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PolymiRTS (Polymorphism in microRNAs and their TargetSites) is a database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene silencing by miRNA (microRNA)","Genetic polymorphism","Micro RNA"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1257,"pubmed_id":17099235,"title":"PolymiRTS Database: linking polymorphisms in microRNA target sites with complex traits.","year":2006,"url":"http://doi.org/10.1093/nar/gkl797","authors":"Bao L., Zhou M., Wu L., Lu L., Goldowitz D., Williams RW., Cui Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl797","created_at":"2021-09-30T08:24:40.250Z","updated_at":"2021-09-30T08:24:40.250Z"},{"id":1261,"pubmed_id":24163105,"title":"PolymiRTS Database 3.0: linking polymorphisms in microRNAs and their target sites with human diseases and biological pathways.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1028","authors":"Bhattacharya A,Ziebarth JD,Cui Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1028","created_at":"2021-09-30T08:24:40.700Z","updated_at":"2021-09-30T11:29:04.342Z"},{"id":1879,"pubmed_id":22080514,"title":"PolymiRTS Database 2.0: linking polymorphisms in microRNA target sites with human diseases and complex traits.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1026","authors":"Ziebarth JD,Bhattacharya A,Chen A,Cui Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1026","created_at":"2021-09-30T08:25:51.345Z","updated_at":"2021-09-30T11:29:21.860Z"}],"licence_links":[],"grants":[{"id":299,"fairsharing_record_id":1633,"organisation_id":3269,"relation":"maintains","created_at":"2021-09-30T09:24:25.791Z","updated_at":"2021-09-30T09:24:25.791Z","grant_id":null,"is_lead":false,"saved_state":{"id":3269,"name":"Yan Cui's Lab, University of Tennessee Health Science Center, Memphis, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":296,"fairsharing_record_id":1633,"organisation_id":77,"relation":"funds","created_at":"2021-09-30T09:24:25.714Z","updated_at":"2021-09-30T09:32:01.670Z","grant_id":1434,"is_lead":false,"saved_state":{"id":77,"name":"American Heart Association, USA","grant":"0830134N","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8220,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:36.856Z","updated_at":"2021-09-30T09:31:36.908Z","grant_id":1249,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"DA021131","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8453,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:42.510Z","updated_at":"2021-09-30T09:32:42.552Z","grant_id":1742,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"AI081050","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":294,"fairsharing_record_id":1633,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:24:25.648Z","updated_at":"2021-09-30T09:24:25.648Z","grant_id":null,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":295,"fairsharing_record_id":1633,"organisation_id":77,"relation":"maintains","created_at":"2021-09-30T09:24:25.686Z","updated_at":"2021-09-30T09:24:25.686Z","grant_id":null,"is_lead":false,"saved_state":{"id":77,"name":"American Heart Association, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":297,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:25.742Z","updated_at":"2021-09-30T09:29:32.361Z","grant_id":290,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"AA014425","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":298,"fairsharing_record_id":1633,"organisation_id":3166,"relation":"funds","created_at":"2021-09-30T09:24:25.765Z","updated_at":"2021-09-30T09:29:38.802Z","grant_id":341,"is_lead":false,"saved_state":{"id":3166,"name":"U.S. Department of Defense","grant":"W81XHW-05-01-0227","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8030,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:30.768Z","updated_at":"2021-09-30T09:30:30.849Z","grant_id":742,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"AI019782","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8198,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:28.347Z","updated_at":"2021-09-30T09:31:28.396Z","grant_id":1184,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"NR009270","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8252,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:45.173Z","updated_at":"2021-09-30T09:31:45.223Z","grant_id":1311,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HD052472","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1645","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T11:03:34.411Z","metadata":{"doi":"10.25504/FAIRsharing.hsbpq3","name":"Simple Modular Architecture Research Tool","status":"ready","contacts":[{"contact_name":"SMART Helpdesk","contact_email":"smart@embl.de"}],"homepage":"http://smart.embl.de","identifier":1645,"description":"SMART (Simple Modular Architecture Research Tool) is a web resource providing simple identification and extensive annotation of protein domains and the exploration of protein domain architectures. It allows the identification and annotation of genetically mobile domains and the analysis of domain architectures. More than 500 domain families found in signalling, extracellular and chromatin-associated proteins are detectable. These domains are extensively annotated with respect to phyletic distributions, functional class, tertiary structures and functionally important residues. Each domain found in a non-redundant protein database as well as search parameters and taxonomic information are stored in a relational database system. User interfaces to this database allow searches for proteins containing specific combinations of domains in defined taxa.","abbreviation":"SMART","data_curation":{"type":"none"},"support_links":[{"url":"http://smart.embl.de/help/feedback.shtml","name":"Contact Form","type":"Contact form"},{"url":"http://smart.embl.de/help/FAQ.shtml","name":"SMART FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://smart.embl.de/help/smart_glossary.shtml","name":"Glossary","type":"Help documentation"},{"url":"http://smart.embl.de/help/smart_about.shtml","name":"About SMART","type":"Help documentation"},{"url":"http://smart.embl.de/help/latest.shtml","name":"What's New","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","associated_tools":[{"url":"http://smart.embl.de/smart/batch.pl","name":"Batch Access Script (Perl)"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000101","bsg-d000101"],"name":"FAIRsharing record for: Simple Modular Architecture Research Tool","abbreviation":"SMART","url":"https://fairsharing.org/10.25504/FAIRsharing.hsbpq3","doi":"10.25504/FAIRsharing.hsbpq3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SMART (Simple Modular Architecture Research Tool) is a web resource providing simple identification and extensive annotation of protein domains and the exploration of protein domain architectures. It allows the identification and annotation of genetically mobile domains and the analysis of domain architectures. More than 500 domain families found in signalling, extracellular and chromatin-associated proteins are detectable. These domains are extensively annotated with respect to phyletic distributions, functional class, tertiary structures and functionally important residues. Each domain found in a non-redundant protein database as well as search parameters and taxonomic information are stored in a relational database system. User interfaces to this database allow searches for proteins containing specific combinations of domains in defined taxa.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12594}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Hidden Markov model","Protein domain","Multiple sequence alignment","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1097,"pubmed_id":22053084,"title":"SMART 7: recent updates to the protein domain annotation resource.","year":2011,"url":"http://doi.org/10.1093/nar/gkr931","authors":"Letunic I,Doerks T,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr931","created_at":"2021-09-30T08:24:21.457Z","updated_at":"2021-09-30T11:28:58.485Z"},{"id":1876,"pubmed_id":10361098,"title":"Protein families in multicellular organisms.","year":1999,"url":"http://doi.org/10.1016/S0959-440X(99)80055-4","authors":"Copley RR,Schultz J,Ponting CP,Bork P","journal":"Curr Opin Struct Biol","doi":"10.1016/S0959-440X(99)80055-4","created_at":"2021-09-30T08:25:51.023Z","updated_at":"2021-09-30T08:25:51.023Z"},{"id":1893,"pubmed_id":18978020,"title":"SMART 6: recent updates and new developments.","year":2008,"url":"http://doi.org/10.1093/nar/gkn808","authors":"Letunic I,Doerks T,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn808","created_at":"2021-09-30T08:25:52.952Z","updated_at":"2021-09-30T11:29:22.152Z"},{"id":1900,"pubmed_id":16381859,"title":"SMART 5: domains in the context of genomes and networks.","year":2005,"url":"http://doi.org/10.1093/nar/gkj079","authors":"Letunic I,Copley RR,Pils B,Pinkert S,Schultz J,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj079","created_at":"2021-09-30T08:25:53.695Z","updated_at":"2021-09-30T11:29:22.544Z"},{"id":1901,"pubmed_id":14681379,"title":"SMART 4.0: towards genomic data integration.","year":2003,"url":"http://doi.org/10.1093/nar/gkh088","authors":"Letunic I,Copley RR,Schmidt S,Ciccarelli FD,Doerks T,Schultz J,Ponting CP,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh088","created_at":"2021-09-30T08:25:53.794Z","updated_at":"2021-09-30T11:29:22.635Z"},{"id":1902,"pubmed_id":10592234,"title":"SMART: a web-based tool for the study of genetically mobile domains.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.231","authors":"Schultz J,Copley RR,Doerks T,Ponting CP,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.231","created_at":"2021-09-30T08:25:53.893Z","updated_at":"2021-09-30T11:29:22.737Z"},{"id":1903,"pubmed_id":9847187,"title":"SMART: identification and annotation of domains from signalling and extracellular protein sequences.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.229","authors":"Ponting CP,Schultz J,Milpetz F,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/27.1.229","created_at":"2021-09-30T08:25:53.993Z","updated_at":"2021-09-30T11:29:22.853Z"},{"id":1904,"pubmed_id":11752305,"title":"Recent improvements to the SMART domain-based sequence annotation resource.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.242","authors":"Letunic I,Goodstadt L,Dickens NJ,Doerks T,Schultz J,Mott R,Ciccarelli F,Copley RR,Ponting CP,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.242","created_at":"2021-09-30T08:25:54.102Z","updated_at":"2021-09-30T11:29:22.944Z"},{"id":2234,"pubmed_id":29040681,"title":"20 years of the SMART protein domain annotation resource.","year":2017,"url":"http://doi.org/10.1093/nar/gkx922","authors":"Letunic I,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx922","created_at":"2021-09-30T08:26:31.755Z","updated_at":"2021-09-30T11:29:31.379Z"},{"id":2261,"pubmed_id":25300481,"title":"SMART: recent updates, new developments and status in 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku949","authors":"Letunic I,Doerks T,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku949","created_at":"2021-09-30T08:26:35.056Z","updated_at":"2021-09-30T11:29:31.961Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":763,"relation":"undefined"}],"grants":[{"id":330,"fairsharing_record_id":1645,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:26.965Z","updated_at":"2021-09-30T09:24:26.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":331,"fairsharing_record_id":1645,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:27.007Z","updated_at":"2021-09-30T09:24:27.007Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":332,"fairsharing_record_id":1645,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:27.105Z","updated_at":"2021-09-30T09:24:27.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":329,"fairsharing_record_id":1645,"organisation_id":931,"relation":"funds","created_at":"2021-09-30T09:24:26.935Z","updated_at":"2021-09-30T09:31:57.798Z","grant_id":1407,"is_lead":false,"saved_state":{"id":931,"name":"European FP7 capacities: Scientific Data Repositories","grant":"213037","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1646","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:34.868Z","metadata":{"doi":"10.25504/FAIRsharing.qbt1gh","name":"SNPeffect","status":"ready","contacts":[{"contact_name":"Frederic Rousseau","contact_email":"frederic.rousseau@vub.ac.be"}],"homepage":"http://snpeffect.switchlab.org","citations":[],"identifier":1646,"description":"SNPeffect is a database for phenotyping human single nucleotide polymorphisms (SNPs). SNPeffect primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification.","abbreviation":"SNPeffect","data_curation":{"type":"automated"},"support_links":[{"url":"http://snpeffect.switchlab.org/contact","type":"Contact form"},{"url":"http://snpeffect.switchlab.org/help","type":"Help documentation"},{"url":"http://snpeffect.switchlab.org/about","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://snpeffect.switchlab.org/meta_analysis","name":"Meta analysis: large scale mining and visualization of SNPeffect data"},{"url":"http://snpeffect.switchlab.org/snpeffect_jobs","name":"Phenotypic analysis of custom single protein variants"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://snpeffect.switchlab.org/snpeffect_jobs","type":"controlled","notes":"You have to register or login to access this page."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000102","bsg-d000102"],"name":"FAIRsharing record for: SNPeffect","abbreviation":"SNPeffect","url":"https://fairsharing.org/10.25504/FAIRsharing.qbt1gh","doi":"10.25504/FAIRsharing.qbt1gh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SNPeffect is a database for phenotyping human single nucleotide polymorphisms (SNPs). SNPeffect primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene Ontology enrichment","Chaperone binding","Mutation analysis","Phenotype","Disease","Structure","Single nucleotide polymorphism","Amino acid sequence"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Free energy prediction","Protein aggregation"],"countries":["Belgium"],"publications":[{"id":1172,"pubmed_id":22075996,"title":"SNPeffect 4.0: on-line prediction of molecular and structural effects of protein-coding variants.","year":2011,"url":"http://doi.org/10.1093/nar/gkr996","authors":"De Baets G,Van Durme J,Reumers J,Maurer-Stroh S,Vanhee P,Dopazo J,Schymkowitz J,Rousseau F","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr996","created_at":"2021-09-30T08:24:30.280Z","updated_at":"2021-09-30T11:29:01.892Z"},{"id":1477,"pubmed_id":15608254,"title":"SNPeffect: a database mapping molecular phenotypic effects of human non-synonymous coding SNPs.","year":2004,"url":"http://doi.org/10.1093/nar/gki086","authors":"Reumers J., Schymkowitz J., Ferkinghoff-Borg J., Stricher F., Serrano L., Rousseau F.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki086","created_at":"2021-09-30T08:25:05.344Z","updated_at":"2021-09-30T08:25:05.344Z"},{"id":1478,"pubmed_id":16809394,"title":"SNPeffect v2.0: a new step in investigating the molecular phenotypic effects of human non-synonymous SNPs.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl348","authors":"Reumers J., Maurer-Stroh S., Schymkowitz J., Rousseau F.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl348","created_at":"2021-09-30T08:25:05.452Z","updated_at":"2021-09-30T08:25:05.452Z"},{"id":1479,"pubmed_id":18086700,"title":"Joint annotation of coding and non-coding single nucleotide polymorphisms and mutations in the SNPeffect and PupaSuite databases.","year":2007,"url":"http://doi.org/10.1093/nar/gkm979","authors":"Reumers J., Conde L., Medina I., Maurer-Stroh S., Van Durme J., Dopazo J., Rousseau F., Schymkowitz J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm979","created_at":"2021-09-30T08:25:05.611Z","updated_at":"2021-09-30T08:25:05.611Z"}],"licence_links":[],"grants":[{"id":9018,"fairsharing_record_id":1646,"organisation_id":198,"relation":"funds","created_at":"2022-03-24T10:46:16.653Z","updated_at":"2022-03-24T10:46:16.653Z","grant_id":281,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","grant":"IUAP P6/43","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":334,"fairsharing_record_id":1646,"organisation_id":2690,"relation":"maintains","created_at":"2021-09-30T09:24:27.243Z","updated_at":"2021-09-30T09:24:27.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2690,"name":"Switch Laboratory","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1647","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:46:54.947Z","metadata":{"doi":"10.25504/FAIRsharing.ja9cdq","name":"Statistical Torsional Angles Potentials of NMR Refinement Database","status":"deprecated","contacts":[{"contact_name":"Jinhyuk Lee","contact_email":"jinhyuk@kribb.re.kr"}],"homepage":"http://psb.kobic.re.kr/stap/refinement/","identifier":1647,"description":"The STAP database contains refined versions of the NMR structures deposited in PDB. These refinements have been performed using statistical torsion angle potential and structurally- or experimentally- derived distance potential. The refined structures have a significantly improved structural quality compared to their initial NMR structure.","abbreviation":"STAP","data_curation":{"type":"not found"},"support_links":[{"url":"webmaster@kobic.kr","type":"Support email"},{"url":"http://psb.kobic.re.kr/stap/refinement/help.php","type":"Help documentation"},{"url":"http://psb.kobic.re.kr/stap/refinement/method.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000103","bsg-d000103"],"name":"FAIRsharing record for: Statistical Torsional Angles Potentials of NMR Refinement Database","abbreviation":"STAP","url":"https://fairsharing.org/10.25504/FAIRsharing.ja9cdq","doi":"10.25504/FAIRsharing.ja9cdq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The STAP database contains refined versions of the NMR structures deposited in PDB. These refinements have been performed using statistical torsion angle potential and structurally- or experimentally- derived distance potential. The refined structures have a significantly improved structural quality compared to their initial NMR structure.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12595}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Statistics","Life Science"],"domains":["Protein structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":1557,"pubmed_id":22102572,"title":"STAP Refinement of the NMR database: a database of 2405 refined solution NMR structures.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1021","authors":"Yang JS,Kim JH,Oh S,Han G,Lee S,Lee J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1021","created_at":"2021-09-30T08:25:14.649Z","updated_at":"2021-09-30T11:29:13.910Z"},{"id":1558,"pubmed_id":23408564,"title":"Statistical torsion angle potential energy functions for protein structure modeling: a bicubic interpolation approach.","year":2013,"url":"http://doi.org/10.1002/prot.24265","authors":"Kim TR,Yang JS,Shin S,Lee J","journal":"Proteins","doi":"10.1002/prot.24265","created_at":"2021-09-30T08:25:14.751Z","updated_at":"2021-09-30T08:25:14.751Z"},{"id":1559,"pubmed_id":25279564,"title":"Protein NMR structures refined without NOE data.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0108888","authors":"Ryu H,Kim TR,Ahn S,Ji S,Lee J","journal":"PLoS One","doi":"10.1371/journal.pone.0108888","created_at":"2021-09-30T08:25:14.862Z","updated_at":"2021-09-30T08:25:14.862Z"},{"id":1560,"pubmed_id":26504145,"title":"NMRe: a web server for NMR protein structure refinement with high-quality structure validation scores.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv595","authors":"Ryu H,Lim G,Sung BH,Lee J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv595","created_at":"2021-09-30T08:25:14.970Z","updated_at":"2021-09-30T08:25:14.970Z"}],"licence_links":[],"grants":[{"id":335,"fairsharing_record_id":1647,"organisation_id":1875,"relation":"funds","created_at":"2021-09-30T09:24:27.392Z","updated_at":"2021-09-30T09:30:04.806Z","grant_id":541,"is_lead":false,"saved_state":{"id":1875,"name":"Ministry of Science, ICT and Future Planning, Gwacheon, Korea","grant":"20110002321","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":336,"fairsharing_record_id":1647,"organisation_id":1646,"relation":"maintains","created_at":"2021-09-30T09:24:27.450Z","updated_at":"2021-09-30T09:24:27.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":1646,"name":"Korean Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8483,"fairsharing_record_id":1647,"organisation_id":1875,"relation":"funds","created_at":"2021-09-30T09:32:51.019Z","updated_at":"2021-09-30T09:32:51.079Z","grant_id":1805,"is_lead":false,"saved_state":{"id":1875,"name":"Ministry of Science, ICT and Future Planning, Gwacheon, Korea","grant":"20110019747","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1634","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:25.656Z","metadata":{"doi":"10.25504/FAIRsharing.3jp2e5","name":"Prokaryotic Glycoproteins Database","status":"deprecated","contacts":[{"contact_name":"Alka Rao","contact_email":"raoalka@imtech.res.in"}],"homepage":"http://crdd.osdd.net/raghava/proglycprot","identifier":1634,"description":"ProGlycProt (Prokaryotic Glycoproteins) is a manually curated, comprehensive repository of experimentally characterized eubacterial and archaeal glycoproteins, generated from an exhaustive literature search. This is the focused beginning of an effort to provide concise relevant information derived from rapidly expanding literature on prokaryotic glycoproteins, their glycosylating enzyme(s), glycosylation linked genes, and genomic context thereof, in a cross-referenced manner.","abbreviation":"ProGlycProt","data_curation":{"type":"not found"},"support_links":[{"url":"http://crdd.osdd.net/raghava/proglycprot/help.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/ProGlycProt","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://crdd.osdd.net/raghava/proglycprot/Mapsequon.php","name":"Map Sequon"},{"url":"http://crdd.osdd.net/raghava/proglycprot/glyseq_extractor.php","name":"Glyseq Extractor"},{"url":"http://crdd.osdd.net/raghava/proglycprot/blast.html","name":"Blast"}],"deprecation_date":"2021-05-27","deprecation_reason":"This resource is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000090","bsg-d000090"],"name":"FAIRsharing record for: Prokaryotic Glycoproteins Database","abbreviation":"ProGlycProt","url":"https://fairsharing.org/10.25504/FAIRsharing.3jp2e5","doi":"10.25504/FAIRsharing.3jp2e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProGlycProt (Prokaryotic Glycoproteins) is a manually curated, comprehensive repository of experimentally characterized eubacterial and archaeal glycoproteins, generated from an exhaustive literature search. This is the focused beginning of an effort to provide concise relevant information derived from rapidly expanding literature on prokaryotic glycoproteins, their glycosylating enzyme(s), glycosylation linked genes, and genomic context thereof, in a cross-referenced manner.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Taxonomic classification","Gene name","DNA sequence data","Annotation","Glycosylation","Protein sequence identification","Glycosylated residue","Curated information","Sequence","Homologous"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["Genome Context","Glycan Annotation"],"countries":["India"],"publications":[{"id":703,"pubmed_id":22039152,"title":"ProGlycProt: a repository of experimentally characterized prokaryotic glycoproteins","year":2011,"url":"http://doi.org/10.1093/nar/gkr911","authors":"Bhat AH, Mondal H, Chauhan JS, Raghava GP, Methi A, Rao A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr911","created_at":"2021-09-30T08:23:37.496Z","updated_at":"2021-09-30T08:23:37.496Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.5 India (CC BY-NC-SA 2.5 IN)","licence_id":182,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.5/in/","link_id":1189,"relation":"undefined"},{"licence_name":"ProGlycProt Data Policies and Disclaimer","licence_id":683,"licence_url":"http://crdd.osdd.net/raghava/proglycprot/disclaimer.html","link_id":1190,"relation":"undefined"}],"grants":[{"id":300,"fairsharing_record_id":1634,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:24:25.821Z","updated_at":"2021-09-30T09:29:35.936Z","grant_id":318,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","grant":"SIP10AA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":301,"fairsharing_record_id":1634,"organisation_id":1425,"relation":"funds","created_at":"2021-09-30T09:24:25.863Z","updated_at":"2021-09-30T09:29:45.071Z","grant_id":385,"is_lead":false,"saved_state":{"id":1425,"name":"Institute of Microbial Technology (IMTECH), Council of Scientific \u0026 Industrial Research (CSIR), Chandigarh, India","grant":"OLP0063","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1635","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:36:53.321Z","metadata":{"doi":"10.25504/FAIRsharing.8kd5e5","name":"ProRepeat: An Integrated Repository for Studying Amino Acid Tandem Repeats in Proteins","status":"deprecated","homepage":"http://prorepeat.bioinformatics.nl","identifier":1635,"description":"ProRepeat is an integrated curated repository and analysis platform for in-depth research on the biological characteristics of amino acid tandem repeats. ProRepeat collects repeats from all proteins included in the UniProt knowledgebase, together with 85 completely sequenced eukaryotic proteomes contained within the RefSeq collection.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://en.wikipedia.org/wiki/ProRepeat","type":"Wikipedia"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000091","bsg-d000091"],"name":"FAIRsharing record for: ProRepeat: An Integrated Repository for Studying Amino Acid Tandem Repeats in Proteins","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8kd5e5","doi":"10.25504/FAIRsharing.8kd5e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProRepeat is an integrated curated repository and analysis platform for in-depth research on the biological characteristics of amino acid tandem repeats. ProRepeat collects repeats from all proteins included in the UniProt knowledgebase, together with 85 completely sequenced eukaryotic proteomes contained within the RefSeq collection.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence composition, complexity and repeats","Tandem repeat"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":773,"pubmed_id":22102581,"title":"ProRepeat: an integrated repository for studying amino acid tandem repeats in proteins.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1019","authors":"Luo H,Lin K,David A,Nijveen H,Leunissen JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1019","created_at":"2021-09-30T08:23:45.185Z","updated_at":"2021-09-30T11:28:50.867Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1636","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:39.372Z","metadata":{"doi":"10.25504/FAIRsharing.6zk9ea","name":"Protein-Chemical Structural Interactions","status":"ready","contacts":[{"contact_name":"Olga Kalinina","contact_email":"olga.kalinina@bioquant.uni-heidelberg.de"}],"homepage":"http://pcidb.russelllab.org/","citations":[],"identifier":1636,"description":"Protein-Chemical Structural Interactions provides information on the 3-dimensional chemical structures of protein interactions with low molecular weight.","abbreviation":"ProtChemSI","data_curation":{"url":"http://pcidb.russelllab.org/docs.shtml","type":"manual"},"support_links":[{"url":"http://pcidb.russelllab.org/docs.shtml","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000092","bsg-d000092"],"name":"FAIRsharing record for: Protein-Chemical Structural Interactions","abbreviation":"ProtChemSI","url":"https://fairsharing.org/10.25504/FAIRsharing.6zk9ea","doi":"10.25504/FAIRsharing.6zk9ea","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Protein-Chemical Structural Interactions provides information on the 3-dimensional chemical structures of protein interactions with low molecular weight.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11761}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science"],"domains":["Chemical structure","Protein interaction","Ligand","Molecular interaction","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":954,"pubmed_id":21573205,"title":"Combinations of protein-chemical complex structures reveal new targets for established drugs.","year":2011,"url":"http://doi.org/10.1371/journal.pcbi.1002043","authors":"Kalinina OV., Wichmann O., Apic G., Russell RB.,","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1002043","created_at":"2021-09-30T08:24:05.530Z","updated_at":"2021-09-30T08:24:05.530Z"}],"licence_links":[],"grants":[{"id":302,"fairsharing_record_id":1636,"organisation_id":398,"relation":"maintains","created_at":"2021-09-30T09:24:25.907Z","updated_at":"2021-09-30T09:24:25.907Z","grant_id":null,"is_lead":false,"saved_state":{"id":398,"name":"Cell Networks, University of Heidelberg, Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":303,"fairsharing_record_id":1636,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:25.938Z","updated_at":"2021-09-30T09:24:25.938Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1641","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:37:11.385Z","metadata":{"doi":"10.25504/FAIRsharing.5rb3fk","name":"ModelDB","status":"ready","contacts":[{"contact_name":"Robert McDougal","contact_email":"curator@modeldb.science"}],"homepage":"http://senselab.med.yale.edu/modeldb","citations":[{"doi":"10.1007/s10827-016-0623-7","pubmed_id":27629590,"publication_id":1191}],"identifier":1641,"description":"ModelDB provides an accessible location for storing and efficiently retrieving computational neuroscience models. A ModelDB entry contains a model's source code, concise description, and a citation of the article that published it. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models.","abbreviation":"ModelDB","data_curation":{"url":"https://senselab.med.yale.edu/ModelDB/helpmenu","type":"manual","notes":"All models are created in private mode, and they remain that way until you request that they be made public. Do this by selecting \"request to make public\" on the ShowModel page. A curator will then review your model and may contact you with questions before making it public."},"support_links":[{"url":"curator@modeldb.science","name":"modelDB curators","type":"Support email"},{"url":"https://senselab.med.yale.edu/modeldb/guide2.html","type":"Help documentation"},{"url":"https://twitter.com/SenseLabProject","type":"Twitter"}],"year_creation":1996,"data_versioning":"yes","associated_tools":[{"url":"https://senselab.med.yale.edu/SimToolDB/","name":"SimToolDB"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011330","name":"re3data:r3d100011330","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007271","name":"SciCrunch:RRID:SCR_007271","portal":"SciCrunch"}],"data_access_condition":{"url":"https://senselab.med.yale.edu/ModelDB/helpmenu","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000097","bsg-d000097"],"name":"FAIRsharing record for: ModelDB","abbreviation":"ModelDB","url":"https://fairsharing.org/10.25504/FAIRsharing.5rb3fk","doi":"10.25504/FAIRsharing.5rb3fk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ModelDB provides an accessible location for storing and efficiently retrieving computational neuroscience models. A ModelDB entry contains a model's source code, concise description, and a citation of the article that published it. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12240}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Computational Biology","Life Science"],"domains":["Mathematical model","Network model","Neuron","Modeling and simulation","Ion channel activity","Behavior","Software"],"taxonomies":["All"],"user_defined_tags":["Multi-scale model"],"countries":["United States"],"publications":[{"id":1191,"pubmed_id":27629590,"title":"Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience","year":2016,"url":"http://doi.org/10.1007/s10827-016-0623-7","authors":"McDougal RA, Morse TM, Carnevale T, Marenco L, Wang R, Migliore M, Miller PL, Shepherd GM, Hines ML","journal":"J Comput Neurosci","doi":"10.1007/s10827-016-0623-7","created_at":"2021-09-30T08:24:32.424Z","updated_at":"2021-09-30T08:24:32.424Z"},{"id":1542,"pubmed_id":15218350,"title":"ModelDB: A Database to Support Computational Neuroscience.","year":2004,"url":"http://doi.org/10.1023/B:JCNS.0000023869.22017.2e","authors":"Hines ML,Morse T,Migliore M,Carnevale NT,Shepherd GM","journal":"J Comput Neurosci","doi":"10.1023/B:JCNS.0000023869.22017.2e","created_at":"2021-09-30T08:25:12.696Z","updated_at":"2021-09-30T08:25:12.696Z"},{"id":1544,"pubmed_id":8930855,"title":"ModelDB: an environment for running and storing computational models and their results applied to neuroscience.","year":1996,"url":"http://doi.org/10.1136/jamia.1996.97084512","authors":"Peterson BE,Healy MD,Nadkarni PM,Miller PL,Shepherd GM","journal":"J Am Med Inform Assoc","doi":"10.1136/jamia.1996.97084512","created_at":"2021-09-30T08:25:12.910Z","updated_at":"2021-09-30T08:25:12.910Z"},{"id":1561,"pubmed_id":15055399,"title":"ModelDB: making models publicly accessible to support computational neuroscience.","year":2004,"url":"http://doi.org/10.1385/NI:1:1:135","authors":"Migliore M,Morse TM,Davison AP,Marenco L,Shepherd GM,Hines ML","journal":"Neuroinformatics","doi":"10.1385/NI:1:1:135","created_at":"2021-09-30T08:25:15.078Z","updated_at":"2021-09-30T08:25:15.078Z"}],"licence_links":[],"grants":[{"id":320,"fairsharing_record_id":1641,"organisation_id":3267,"relation":"maintains","created_at":"2021-09-30T09:24:26.606Z","updated_at":"2021-09-30T09:24:26.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":3267,"name":"Yale University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":319,"fairsharing_record_id":1641,"organisation_id":3268,"relation":"maintains","created_at":"2021-09-30T09:24:26.565Z","updated_at":"2021-09-30T09:24:26.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":3268,"name":"Yale University School of Medicine, New Haven, CT, USA.","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":318,"fairsharing_record_id":1641,"organisation_id":2002,"relation":"funds","created_at":"2021-09-30T09:24:26.508Z","updated_at":"2021-09-30T09:30:52.855Z","grant_id":916,"is_lead":false,"saved_state":{"id":2002,"name":"National Institute for Deafness and other Communication Disorders (NIDCD)","grant":"R01 DC 009977","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12027,"fairsharing_record_id":1641,"organisation_id":1274,"relation":"funds","created_at":"2024-07-08T14:51:28.823Z","updated_at":"2024-07-08T14:51:29.502Z","grant_id":1439,"is_lead":false,"saved_state":{"id":1274,"name":"Human Brain Project","grant":"5PO1DC004732","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1642","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:05:30.422Z","metadata":{"doi":"10.25504/FAIRsharing.sncr74","name":"Syntheses, Chemicals, and Reactions In Patents DataBase","status":"deprecated","contacts":[{"contact_email":"SCRIPDB@cs.toronto.edu"}],"homepage":"http://dcv.uhnres.utoronto.ca/SCRIPDB","citations":[],"identifier":1642,"description":"SCRIPDB is a chemical structure database designed to make patent metadata accessible. We index public-domain chemical information contained in U.S. patents, and provide the full patent text, reactions, and relationships described within any individual patent, as well as the original CDX, MOL, and TIFF files.","abbreviation":"SCRIPDB","data_curation":{"type":"manual"},"support_links":[{"url":"https://en.wikipedia.org/wiki/SCRIPDB","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012730","name":"re3data:r3d100012730","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008922","name":"SciCrunch:RRID:SCR_008922","portal":"SciCrunch"}],"deprecation_date":"2022-07-12","deprecation_reason":"This resource homepage has been marked as \"under maintenance\" the last few times the FAIRsharing Team visited it. Because no alternative homepage can be found, this resource has been marked as deprecated. Please get in touch with us if you have any questions.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000098","bsg-d000098"],"name":"FAIRsharing record for: Syntheses, Chemicals, and Reactions In Patents DataBase","abbreviation":"SCRIPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.sncr74","doi":"10.25504/FAIRsharing.sncr74","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SCRIPDB is a chemical structure database designed to make patent metadata accessible. We index public-domain chemical information contained in U.S. patents, and provide the full patent text, reactions, and relationships described within any individual patent, as well as the original CDX, MOL, and TIFF files.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11763}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Chemical structure","Image","Patent"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1342,"pubmed_id":22067445,"title":"SCRIPDB: a portal for easy access to syntheses, chemicals and reactions in patents.","year":2011,"url":"http://doi.org/10.1093/nar/gkr919","authors":"Heifets A,Jurisica I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr919","created_at":"2021-09-30T08:24:50.166Z","updated_at":"2021-09-30T11:29:06.143Z"}],"licence_links":[],"grants":[{"id":323,"fairsharing_record_id":1642,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:24:26.732Z","updated_at":"2021-09-30T09:29:37.279Z","grant_id":329,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","grant":"CFI #12301","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":322,"fairsharing_record_id":1642,"organisation_id":1616,"relation":"maintains","created_at":"2021-09-30T09:24:26.691Z","updated_at":"2021-09-30T09:24:26.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":1616,"name":"Jurisica Lab, Ontario Cancer Institute, Toronto, ON, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":324,"fairsharing_record_id":1642,"organisation_id":2247,"relation":"funds","created_at":"2021-09-30T09:24:26.774Z","updated_at":"2021-09-30T09:29:02.017Z","grant_id":64,"is_lead":false,"saved_state":{"id":2247,"name":"Ontario Research Fund","grant":"GL2-01-030","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8156,"fairsharing_record_id":1642,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:31:14.773Z","updated_at":"2021-09-30T09:31:14.820Z","grant_id":1084,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","grant":"CFI #203383","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1643","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-01T11:46:25.581Z","metadata":{"doi":"10.25504/FAIRsharing.6648ht","name":"The SEQanswers wiki","status":"ready","contacts":[{"contact_name":"Dan Bolser","contact_email":"dan.bolser@gmail.com","contact_orcid":"0000-0002-3991-0859"}],"homepage":"https://www.seqanswers.com/","citations":[],"identifier":1643,"description":"Wiki on all aspects of next-generation genomics. The SEQanswers wiki is a Semantic MediWiki (SMW) site that is edited and updated by the members of the SEQanswers community. The wiki provides an extensive catalogue of manually categorized analysis tools, technologies and information about service providers.","abbreviation":null,"data_curation":{"url":"https://www.seqanswers.com/help#content_overview/content_topics","type":"manual","notes":"Community Curation"},"support_links":[{"url":"http://seqanswers.com/forums/forumdisplay.php?f=36","type":"Forum"},{"url":"http://seqanswers.com/wiki/Help:Contents","type":"Help documentation"},{"url":"http://seqanswers.com/wiki/SEQwiki:About","type":"Help documentation"},{"url":"https://twitter.com/SEQanswers","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"url":"https://www.seqanswers.com/register","type":"open","notes":"Register is necessary to access the data"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.seqanswers.com/help#content_overview/content_topics","type":"open","notes":"account required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000099","bsg-d000099"],"name":"FAIRsharing record for: The SEQanswers wiki","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6648ht","doi":"10.25504/FAIRsharing.6648ht","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Wiki on all aspects of next-generation genomics. The SEQanswers wiki is a Semantic MediWiki (SMW) site that is edited and updated by the members of the SEQanswers community. The wiki provides an extensive catalogue of manually categorized analysis tools, technologies and information about service providers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Citation","Free text","Next generation DNA sequencing","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Germany","Hong Kong","Ireland","United States"],"publications":[{"id":752,"pubmed_id":22086956,"title":"The SEQanswers wiki: a wiki database of tools for high-throughput sequencing analysis.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1058","authors":"Li JW,Robison K,Martin M,Sjodin A,Usadel B,Young M,Olivares EC,Bolser DM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1058","created_at":"2021-09-30T08:23:42.801Z","updated_at":"2021-09-30T11:28:49.784Z"},{"id":788,"pubmed_id":22419780,"title":"SEQanswers: an open access community for collaboratively decoding genomes.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts128","authors":"Li JW,Schmieder R,Ward RM,Delenick J,Olivares EC,Mittelman D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts128","created_at":"2021-09-30T08:23:46.862Z","updated_at":"2021-09-30T08:23:46.862Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1251,"relation":"undefined"}],"grants":[{"id":11258,"fairsharing_record_id":1643,"organisation_id":4226,"relation":"associated_with","created_at":"2024-02-01T11:46:06.023Z","updated_at":"2024-02-01T11:46:06.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":4226,"name":"Chinese University of Hong Kong","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3d695e4885f5a34c615b2e89d4dac337597f5dc6/seq-answers-header-nobg-medium-blue.png?disposition=inline","exhaustive_licences":false}},{"id":"1639","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:06.745Z","metadata":{"doi":"10.25504/FAIRsharing.pn1sr5","name":"Rhea","status":"ready","contacts":[{"contact_name":"Anne Morgat","contact_email":"anne.morgat@sib.swiss","contact_orcid":"0000-0002-1216-2969"}],"homepage":"http://www.rhea-db.org","citations":[{"doi":"10.1093/nar/gkab1016","pubmed_id":34755880,"publication_id":3272}],"identifier":1639,"description":"Rhea is a comprehensive and non-redundant resource of expert-curated chemical and transport reactions of biological interest. Rhea can be used for enzyme annotation, genome-scale metabolic modeling and omics-related analysis. Rhea describes enzyme-catalyzed reactions covering the IUBMB Enzyme Nomenclature list as well as additional reactions, including spontaneously occurring reactions. Rhea is built on ChEBI (Chemical Entities of Biological Interest) ontology of small molecules to describe its reaction participants. Since December 2018, Rhea is the standard for enzyme annotation in UniProt.","abbreviation":"Rhea","data_curation":{"url":"https://www.rhea-db.org/help/reaction-curation","type":"manual","notes":"Rhea is an expert-curated knowledgebase of chemical and transport reactions of biological interest"},"support_links":[{"url":"https://www.rhea-db.org/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.rhea-db.org/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://www.rhea-db.org/help","name":"Documentation","type":"Help documentation"},{"url":"https://sourceforge.net/p/rhea-ebi/news/feed.rss","name":"RSS","type":"Blog/News"},{"url":"https://twitter.com/rhea_db","name":"@rhea_db","type":"Twitter"},{"url":"https://www.rhea-db.org/help?query=\u0026filter=category:faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ftp.expasy.org/databases/rhea/rhea_news.html","name":"News","type":"Blog/News"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://www.chemaxon.com/","name":"ChemAxon"},{"url":"https://cran.r-project.org/web/packages/RxnSim/index.html","name":"RxnSim 1.0.3"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010891","name":"re3data:r3d100010891","portal":"re3data"}],"data_access_condition":{"url":"https://www.rhea-db.org/help/license-disclaimer","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000095","bsg-d000095"],"name":"FAIRsharing record for: Rhea","abbreviation":"Rhea","url":"https://fairsharing.org/10.25504/FAIRsharing.pn1sr5","doi":"10.25504/FAIRsharing.pn1sr5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Rhea is a comprehensive and non-redundant resource of expert-curated chemical and transport reactions of biological interest. Rhea can be used for enzyme annotation, genome-scale metabolic modeling and omics-related analysis. Rhea describes enzyme-catalyzed reactions covering the IUBMB Enzyme Nomenclature list as well as additional reactions, including spontaneously occurring reactions. Rhea is built on ChEBI (Chemical Entities of Biological Interest) ontology of small molecules to describe its reaction participants. Since December 2018, Rhea is the standard for enzyme annotation in UniProt.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10930},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11324},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11762},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12157},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16187}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science"],"domains":["Chemical formula","Reaction data","Annotation","Chemical entity","Transport","Small molecule","Enzymatic reaction","Curated information","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2061,"pubmed_id":27789701,"title":"Updates in Rhea - an expert curated resource of biochemical reactions.","year":2016,"url":"http://doi.org/10.1093/nar/gkw990","authors":"Morgat A, Lombardot T, Axelsen KB, Aimo L, Niknejad A, Hyka-Nouspikel N, Coudert E, Pozzato M, Pagni M, Moretti S, Rosanoff S, Onwubiko J, Bougueleret L, Xenarios I, Redaschi N, Bridge A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw990","created_at":"2021-09-30T08:26:12.241Z","updated_at":"2021-09-30T08:26:12.241Z"},{"id":2660,"pubmed_id":25332395,"title":"Updates in Rhea--a manually curated resource of biochemical reactions.","year":2014,"url":"http://doi.org/10.1093/nar/gku961","authors":"Morgat A, Axelsen KB, Lombardot T, Alcántara R, Aimo L, Zerara M, Niknejad A, Belda E, Hyka-Nouspikel N, Coudert E, Redaschi N, Bougueleret L, Steinbeck C, Xenarios I, Bridge A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku961","created_at":"2021-09-30T08:27:26.655Z","updated_at":"2021-09-30T08:27:26.655Z"},{"id":2661,"pubmed_id":22135291,"title":"Rhea--a manually curated resource of biochemical reactions.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1126","authors":"Alcantara R,Axelsen KB,Morgat A,Belda E,Coudert E,Bridge A,Cao H,de Matos P,Ennis M,Turner S,Owen G,Bougueleret L,Xenarios I,Steinbeck C","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1126","created_at":"2021-09-30T08:27:26.771Z","updated_at":"2021-09-30T08:27:26.771Z"},{"id":2669,"pubmed_id":30272209,"title":"Updates in Rhea: SPARQLing biochemical reaction data.","year":2018,"url":"http://doi.org/10.1093/nar/gky876","authors":"Lombardot T, Morgat A, Axelsen KB, Aimo L, Hyka-Nouspikel N, Niknejad A, Ignatchenko A, Xenarios I, Coudert E, Redaschi N, Bridge A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky876","created_at":"2021-09-30T08:27:27.694Z","updated_at":"2021-09-30T11:29:41.003Z"},{"id":2672,"pubmed_id":31688925,"title":"Enzyme annotation in UniProtKB using Rhea","year":2019,"url":"http://doi.org/10.1093/bioinformatics/btz817","authors":"Morgat A, Lombardot T, Coudert E, Axelsen K, Neto TB, Gehant S, Bansal P, Bolleman J, Gasteiger E, de Castro E, Baratin D, Pozzato M, Xenarios I, Poux S, Redaschi N, Bridge A and the UniProt Consortium","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btz817","created_at":"2021-09-30T08:27:28.063Z","updated_at":"2021-09-30T08:27:28.063Z"},{"id":3272,"pubmed_id":34755880,"title":"Rhea, the reaction knowledgebase in 2022.","year":2022,"url":"https://doi.org/10.1093/nar/gkab1016","authors":"Bansal P, Morgat A, Axelsen KB, Muthukrishnan V, Coudert E, Aimo L, Hyka-Nouspikel N, Gasteiger E, Kerhornou A, Neto TB, Pozzato M, Blatter MC, Ignatchenko A, Redaschi N, Bridge A","journal":"Nucleic acids research","doi":"10.1093/nar/gkab1016","created_at":"2022-03-25T14:34:09.528Z","updated_at":"2022-03-25T14:34:09.528Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":901,"relation":"undefined"}],"grants":[{"id":313,"fairsharing_record_id":1639,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:26.335Z","updated_at":"2021-09-30T09:24:26.335Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10010,"fairsharing_record_id":1639,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.701Z","updated_at":"2022-10-13T09:43:38.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":9417,"fairsharing_record_id":1639,"organisation_id":2635,"relation":"funds","created_at":"2022-04-11T12:07:36.898Z","updated_at":"2022-04-11T12:07:36.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1FCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9549c8b57841b1870a5279152f00dbe292fd880b/LogoRheaRVB80x170.png?disposition=inline","exhaustive_licences":false}},{"id":"1640","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-08T10:28:13.968Z","metadata":{"doi":"10.25504/FAIRsharing.vebj4e","name":"RNA Characterization of Secondary Structure Motifs","status":"ready","contacts":[{"contact_name":"Brent M. Znosko","contact_email":"znoskob@slu.edu"}],"homepage":"https://rnacossmos.com/","citations":[],"identifier":1640,"description":"RNA Characterization of Secondary Structure Motifs (RNA CoSSMos) database allows the systematic searching of all catalogued three-dimensional nucleic acid PDB structures that contain secondary structure motifs such as mismatches, (a)symmetric internal loops, hairpin loops, and bulge loops.","abbreviation":"RNA CoSSMos","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.rnacossmos.com/contact.php","type":"Contact form"},{"url":"https://www.rnacossmos.com/faq2.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/RNA_CoSSMos","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000096","bsg-d000096"],"name":"FAIRsharing record for: RNA Characterization of Secondary Structure Motifs","abbreviation":"RNA CoSSMos","url":"https://fairsharing.org/10.25504/FAIRsharing.vebj4e","doi":"10.25504/FAIRsharing.vebj4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNA Characterization of Secondary Structure Motifs (RNA CoSSMos) database allows the systematic searching of all catalogued three-dimensional nucleic acid PDB structures that contain secondary structure motifs such as mismatches, (a)symmetric internal loops, hairpin loops, and bulge loops.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12593}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Ribonucleic acid","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":753,"pubmed_id":22127861,"title":"RNA CoSSMos: Characterization of Secondary Structure Motifs--a searchable database of secondary structure motifs in RNA three-dimensional structures.","year":2011,"url":"http://doi.org/10.1093/nar/gkr943","authors":"Vanegas PL, Hudson GA, Davis AR, Kelly SC, Kirkpatrick CC, Znosko BM.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gkr943","created_at":"2021-09-30T08:23:42.913Z","updated_at":"2021-09-30T08:23:42.913Z"}],"licence_links":[],"grants":[{"id":317,"fairsharing_record_id":1640,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:26.484Z","updated_at":"2021-09-30T09:30:29.007Z","grant_id":730,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"1R15GM085699-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11700,"fairsharing_record_id":1640,"organisation_id":4336,"relation":"maintains","created_at":"2024-04-08T10:28:02.496Z","updated_at":"2024-04-08T10:28:02.496Z","grant_id":null,"is_lead":true,"saved_state":{"id":4336,"name":"Znosko Lab, Department of Chemistry, Saint Louis University","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1624","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:37.914Z","metadata":{"doi":"10.25504/FAIRsharing.284kre","name":"The DNA Replication Origin Database","status":"ready","contacts":[{"contact_name":"Conrad A. Nieduszynski","contact_email":"conrad@oridb.org","contact_orcid":"0000-0003-2001-076X"}],"homepage":"http://cerevisiae.oridb.org/","citations":[],"identifier":1624,"description":"This database summarizes our knowledge of replication origins in the budding yeast Saccharomyces cerevisiae. Each proposed origin site has been assigned a Status (Confirmed, Likely, or Dubious) expressing the confidence that the site genuinely corresponds to an origin.","abbreviation":"OriDB","data_curation":{"url":"http://cerevisiae.oridb.org/help.php","type":"manual"},"support_links":[{"url":"http://cerevisiae.oridb.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cerevisiae.oridb.org/help.php","type":"Help documentation"},{"url":"http://pombe.oridb.org/help.php","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000080","bsg-d000080"],"name":"FAIRsharing record for: The DNA Replication Origin Database","abbreviation":"OriDB","url":"https://fairsharing.org/10.25504/FAIRsharing.284kre","doi":"10.25504/FAIRsharing.284kre","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database summarizes our knowledge of replication origins in the budding yeast Saccharomyces cerevisiae. Each proposed origin site has been assigned a Status (Confirmed, Likely, or Dubious) expressing the confidence that the site genuinely corresponds to an origin.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Genome"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":136,"pubmed_id":17065467,"title":"OriDB: a DNA replication origin database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl758","authors":"Nieduszynski CA., Hiraga S., Ak P., Benham CJ., Donaldson AD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl758","created_at":"2021-09-30T08:22:34.880Z","updated_at":"2021-09-30T08:22:34.880Z"},{"id":503,"pubmed_id":22121216,"title":"OriDB, the DNA replication origin database updated and extended.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1091","authors":"Siow CC., Nieduszynska SR., Müller CA., Nieduszynski CA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1091","created_at":"2021-09-30T08:23:14.677Z","updated_at":"2021-09-30T08:23:14.677Z"}],"licence_links":[{"licence_name":"OriDB Attribution required","licence_id":641,"licence_url":"http://cerevisiae.oridb.org/faq.php","link_id":123,"relation":"undefined"}],"grants":[{"id":256,"fairsharing_record_id":1624,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:24.004Z","updated_at":"2021-09-30T09:29:58.576Z","grant_id":495,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0416764","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":257,"fairsharing_record_id":1624,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:24.042Z","updated_at":"2021-09-30T09:29:36.787Z","grant_id":325,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G001596/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8203,"fairsharing_record_id":1624,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:30.156Z","updated_at":"2021-09-30T09:31:30.205Z","grant_id":1200,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E023754/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1637","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-31T17:59:41.385Z","metadata":{"doi":"10.25504/FAIRsharing.wv5q9d","name":"ProtoNet","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"proto@cs.huji.ac.il"}],"homepage":"http://www.protonet.cs.huji.ac.il/","citations":[],"identifier":1637,"description":"This resource is a hierarchical clustering of UniProt protein sequences into hierarchical trees. This resource allows for the study of sub-family and super-family of a protein, using UniRef50 clusters.","abbreviation":"ProtoNet","data_curation":{"type":"automated"},"support_links":[{"url":"http://www.protonet.cs.huji.ac.il/feedback.php","type":"Contact form"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[],"deprecation_date":"2023-01-30","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000093","bsg-d000093"],"name":"FAIRsharing record for: ProtoNet","abbreviation":"ProtoNet","url":"https://fairsharing.org/10.25504/FAIRsharing.wv5q9d","doi":"10.25504/FAIRsharing.wv5q9d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource is a hierarchical clustering of UniProt protein sequences into hierarchical trees. This resource allows for the study of sub-family and super-family of a protein, using UniRef50 clusters.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide property","Gene Ontology enrichment","Enzyme","Cross linking"],"taxonomies":["All"],"user_defined_tags":["Protein superfamily"],"countries":["Israel"],"publications":[{"id":131,"pubmed_id":12520020,"title":"ProtoNet: hierarchical classification of the protein space.","year":2003,"url":"http://doi.org/10.1093/nar/gkg096","authors":"Sasson O., Vaaknin A., Fleischer H., Portugaly E., Bilu Y., Linial N., Linial M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg096","created_at":"2021-09-30T08:22:34.356Z","updated_at":"2021-09-30T08:22:34.356Z"},{"id":1322,"pubmed_id":23563419,"title":"ProtoNet: charting the expanding universe of protein sequences.","year":2013,"url":"http://doi.org/10.1038/nbt.2553","authors":"Rappoport N,Linial N,Linial M","journal":"Nat Biotechnol","doi":"10.1038/nbt.2553","created_at":"2021-09-30T08:24:47.874Z","updated_at":"2021-09-30T08:24:47.874Z"},{"id":1456,"pubmed_id":18689824,"title":"Connect the dots: exposing hidden protein family connections from the entire sequence tree.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn301","authors":"Loewenstein Y., Linial M.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn301","created_at":"2021-09-30T08:25:02.727Z","updated_at":"2021-09-30T08:25:02.727Z"},{"id":1457,"pubmed_id":18586742,"title":"Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn174","authors":"Loewenstein Y., Portugaly E., Fromer M., Linial M.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn174","created_at":"2021-09-30T08:25:02.835Z","updated_at":"2021-09-30T08:25:02.835Z"},{"id":1936,"pubmed_id":18629007,"title":"Fishing with (Proto)Net-a principled approach to protein target selection.","year":2008,"url":"http://doi.org/10.1002/cfg.328","authors":"Linial M.,","journal":"Comp. Funct. Genomics","doi":"10.1002/cfg.328","created_at":"2021-09-30T08:25:57.919Z","updated_at":"2021-09-30T08:25:57.919Z"},{"id":2012,"pubmed_id":16672244,"title":"Functional annotation prediction: all for one and one for all.","year":2006,"url":"http://doi.org/10.1110/ps.062185706","authors":"Sasson O., Kaplan N., Linial M.,","journal":"Protein Sci.","doi":"10.1110/ps.062185706","created_at":"2021-09-30T08:26:06.682Z","updated_at":"2021-09-30T08:26:06.682Z"},{"id":2028,"pubmed_id":15596019,"title":"A functional hierarchical organization of the protein sequence space.","year":2004,"url":"http://doi.org/10.1186/1471-2105-5-196","authors":"Kaplan N., Friedlich M., Fromer M., Linial M.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-5-196","created_at":"2021-09-30T08:26:08.382Z","updated_at":"2021-09-30T08:26:08.382Z"},{"id":2030,"pubmed_id":15382232,"title":"A robust method to detect structural and functional remote homologues.","year":2004,"url":"http://doi.org/10.1002/prot.20235","authors":"Shachar O., Linial M.,","journal":"Proteins","doi":"10.1002/prot.20235","created_at":"2021-09-30T08:26:08.606Z","updated_at":"2021-09-30T08:26:08.606Z"},{"id":2031,"pubmed_id":22121228,"title":"ProtoNet 6.0: organizing 10 million protein sequences in a compact hierarchical family tree.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1027","authors":"Rappoport N,Karsenty S,Stern A,Linial N,Linial M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1027","created_at":"2021-09-30T08:26:08.755Z","updated_at":"2021-09-30T11:29:26.411Z"},{"id":2099,"pubmed_id":15608180,"title":"ProtoNet 4.0: a hierarchical classification of one million protein sequences.","year":2004,"url":"http://doi.org/10.1093/nar/gki007","authors":"Kaplan N., Sasson O., Inbar U., Friedlich M., Fromer M., Fleischer H., Portugaly E., Linial N., Linial M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki007","created_at":"2021-09-30T08:26:16.523Z","updated_at":"2021-09-30T08:26:16.523Z"}],"licence_links":[],"grants":[{"id":304,"fairsharing_record_id":1637,"organisation_id":1265,"relation":"funds","created_at":"2021-09-30T09:24:25.980Z","updated_at":"2021-09-30T09:24:25.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":1265,"name":"Horowitz Foundation for Social Policy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":308,"fairsharing_record_id":1637,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:26.139Z","updated_at":"2021-09-30T09:24:26.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":305,"fairsharing_record_id":1637,"organisation_id":1858,"relation":"funds","created_at":"2021-09-30T09:24:26.022Z","updated_at":"2021-09-30T09:24:26.022Z","grant_id":null,"is_lead":false,"saved_state":{"id":1858,"name":"Ministry of Defence, Tel Aviv, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":306,"fairsharing_record_id":1637,"organisation_id":1855,"relation":"funds","created_at":"2021-09-30T09:24:26.063Z","updated_at":"2021-09-30T09:24:26.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":1855,"name":"Minister of Science, Technology and Space (MOST), Tel Aviv, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":309,"fairsharing_record_id":1637,"organisation_id":2511,"relation":"maintains","created_at":"2021-09-30T09:24:26.181Z","updated_at":"2021-09-30T09:24:26.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":2511,"name":"School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":310,"fairsharing_record_id":1637,"organisation_id":2838,"relation":"funds","created_at":"2021-09-30T09:24:26.223Z","updated_at":"2021-09-30T09:24:26.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":2838,"name":"The Sudarsky Center for Computational Biology (SCCB) Hebrew University of Jerusalem","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":307,"fairsharing_record_id":1637,"organisation_id":1561,"relation":"funds","created_at":"2021-09-30T09:24:26.102Z","updated_at":"2021-09-30T09:32:22.953Z","grant_id":1594,"is_lead":false,"saved_state":{"id":1561,"name":"Israel Science Foundation, Israel","grant":"ISF 592/07","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1638","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T11:13:31.686Z","metadata":{"doi":"10.25504/FAIRsharing.3d4jx0","name":"Protein Structure Change Database","status":"deprecated","contacts":[{"contact_name":"Takayuki Amemiya","contact_email":"pscdb-admin@force.cs.is.nagoya-u.ac.jp"}],"homepage":"http://idp1.force.cs.is.nagoya-u.ac.jp/pscdb/","citations":[],"identifier":1638,"description":"The Protein Structural Change DataBase (PSCDB) presents the structural changes found in proteins, represented by pairs of ligand-free and ligand-bound structures of identical proteins, and links these changes to ligand-binding.","abbreviation":"PSCDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://idp1.force.cs.is.nagoya-u.ac.jp/pscdb/background_info.pdf","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2023-03-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000094","bsg-d000094"],"name":"FAIRsharing record for: Protein Structure Change Database","abbreviation":"PSCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3d4jx0","doi":"10.25504/FAIRsharing.3d4jx0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Structural Change DataBase (PSCDB) presents the structural changes found in proteins, represented by pairs of ligand-free and ligand-bound structures of identical proteins, and links these changes to ligand-binding.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12592}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme Commission number","Protein structure","Ligand","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":135,"pubmed_id":21376729,"title":"Classification and annotation of the relationship between protein structural change and ligand binding.","year":2011,"url":"http://doi.org/10.1016/j.jmb.2011.02.058","authors":"Amemiya T., Koike R., Fuchigami S., Ikeguchi M., Kidera A.,","journal":"J. Mol. Biol.","doi":"10.1016/j.jmb.2011.02.058","created_at":"2021-09-30T08:22:34.781Z","updated_at":"2021-09-30T08:22:34.781Z"},{"id":1556,"pubmed_id":22080505,"title":"PSCDB: a database for protein structural change upon ligand binding.","year":2011,"url":"http://doi.org/10.1093/nar/gkr966","authors":"Amemiya T,Koike R,Kidera A,Ota M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr966","created_at":"2021-09-30T08:25:14.500Z","updated_at":"2021-09-30T11:29:13.801Z"}],"licence_links":[],"grants":[{"id":311,"fairsharing_record_id":1638,"organisation_id":743,"relation":"maintains","created_at":"2021-09-30T09:24:26.263Z","updated_at":"2021-09-30T09:24:26.263Z","grant_id":null,"is_lead":false,"saved_state":{"id":743,"name":"Department of Supramolecular Biology, Graduate School of Nanobioscience, Yokohama City University, Yokohama, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1648","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:39:26.883Z","metadata":{"doi":"10.25504/FAIRsharing.zhwa8x","name":"Search Tool for Interactions of Chemicals","status":"ready","contacts":[{"contact_name":"Lars J. Jensen","contact_email":"jensen@embl.de"}],"homepage":"http://stitch.embl.de","citations":[],"identifier":1648,"description":"STITCH is a resource to explore known and predicted interactions of chemicals and proteins. Chemicals are linked to other chemicals and proteins by evidence derived from experiments, databases and the literature.","abbreviation":"STITCH","data_curation":{"type":"automated","notes":"Some data derived from curated data of various database"},"support_links":[{"url":"http://stitch.embl.de/cgi/help.pl?UserId=6WnBNmnMDECf\u0026sessionId=sN6Yw82egr3T","type":"Help documentation"},{"url":"http://stitch.embl.de/cgi/info.pl?UserId=6WnBNmnMDECf\u0026sessionId=sN6Yw82egr3T\u0026footer_active_subpage=faqs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012165","name":"re3data:r3d100012165","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007947","name":"SciCrunch:RRID:SCR_007947","portal":"SciCrunch"}],"data_access_condition":{"type":"partially open","notes":"Much of the data is freely available, but you need to login to obtain the whole database"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000104","bsg-d000104"],"name":"FAIRsharing record for: Search Tool for Interactions of Chemicals","abbreviation":"STITCH","url":"https://fairsharing.org/10.25504/FAIRsharing.zhwa8x","doi":"10.25504/FAIRsharing.zhwa8x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STITCH is a resource to explore known and predicted interactions of chemicals and proteins. Chemicals are linked to other chemicals and proteins by evidence derived from experiments, databases and the literature.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11764}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Computational biological predictions","Chemical entity","Molecular interaction","Small molecule","Protein","Literature curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":140,"pubmed_id":18084021,"title":"STITCH: interaction networks of chemicals and proteins.","year":2007,"url":"http://doi.org/10.1093/nar/gkm795","authors":"Kuhn M., von Mering C., Campillos M., Jensen LJ., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm795","created_at":"2021-09-30T08:22:35.305Z","updated_at":"2021-09-30T08:22:35.305Z"},{"id":141,"pubmed_id":19897548,"title":"STITCH 2: an interaction network database for small molecules and proteins.","year":2009,"url":"http://doi.org/10.1093/nar/gkp937","authors":"Kuhn M., Szklarczyk D., Franceschini A., Campillos M., von Mering C., Jensen LJ., Beyer A., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp937","created_at":"2021-09-30T08:22:35.406Z","updated_at":"2021-09-30T08:22:35.406Z"},{"id":1551,"pubmed_id":24293645,"title":"STITCH 4: integration of protein-chemical interactions with user data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1207","authors":"Kuhn M,Szklarczyk D,Pletscher-Frankild S,Blicher TH,von Mering C,Jensen LJ,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1207","created_at":"2021-09-30T08:25:13.744Z","updated_at":"2021-09-30T11:29:13.310Z"},{"id":1553,"pubmed_id":22075997,"title":"STITCH 3: zooming in on protein-chemical interactions.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1011","authors":"Kuhn M,Szklarczyk D,Franceschini A,von Mering C,Jensen LJ,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1011","created_at":"2021-09-30T08:25:14.191Z","updated_at":"2021-09-30T11:29:13.510Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":324,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":147,"relation":"undefined"}],"grants":[{"id":338,"fairsharing_record_id":1648,"organisation_id":2746,"relation":"maintains","created_at":"2021-09-30T09:24:27.574Z","updated_at":"2021-09-30T09:24:27.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":2746,"name":"The Biotechnology Center (BIOTEC), Technische Universitat Dresden, Dresden, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":342,"fairsharing_record_id":1648,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:24:27.859Z","updated_at":"2021-09-30T09:24:27.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":339,"fairsharing_record_id":1648,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:27.642Z","updated_at":"2021-09-30T09:31:45.536Z","grant_id":1314,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG KU 2796/2-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":337,"fairsharing_record_id":1648,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:24:27.508Z","updated_at":"2021-09-30T09:24:27.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":341,"fairsharing_record_id":1648,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:27.793Z","updated_at":"2021-09-30T09:24:27.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9299,"fairsharing_record_id":1648,"organisation_id":943,"relation":"maintains","created_at":"2022-04-11T12:07:28.778Z","updated_at":"2022-04-11T12:07:28.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":943,"name":"European Molecular Biology Organization","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9351,"fairsharing_record_id":1648,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.401Z","updated_at":"2022-04-11T12:07:32.419Z","grant_id":1737,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0313831D","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1673","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:23:45.781Z","metadata":{"doi":"10.25504/FAIRsharing.kq47fy","name":"SpliceDisease","status":"deprecated","homepage":"http://cmbi.bjmu.edu.cn/Sdisease","identifier":1673,"description":"The SpliceDisease database provides information linking RNA splicing to human disease, including the change of the nucleotide in the sequence, the location of the mutation on the gene, the reference Pubmed ID and detailed description for the relationship among gene mutations, splicing defects and diseases.","abbreviation":"SpliceDisease","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000129","bsg-d000129"],"name":"FAIRsharing record for: SpliceDisease","abbreviation":"SpliceDisease","url":"https://fairsharing.org/10.25504/FAIRsharing.kq47fy","doi":"10.25504/FAIRsharing.kq47fy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SpliceDisease database provides information linking RNA splicing to human disease, including the change of the nucleotide in the sequence, the location of the mutation on the gene, the reference Pubmed ID and detailed description for the relationship among gene mutations, splicing defects and diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["RNA splicing","Mutation analysis","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":173,"pubmed_id":22139928,"title":"SpliceDisease database: linking RNA splicing and disease.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1171","authors":"Wang J., Zhang J., Li K., Zhao W., Cui Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1171","created_at":"2021-09-30T08:22:38.922Z","updated_at":"2021-09-30T08:22:38.922Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1674","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:48.606Z","metadata":{"doi":"10.25504/FAIRsharing.a0k4cd","name":"TarBase","status":"ready","contacts":[{"contact_name":"Artemis Hatzigeorgiou","contact_email":"arhatzig@inf.uth.gr"}],"homepage":"http://www.microrna.gr/tarbase","citations":[{"doi":"10.1093/nar/gkx1141","pubmed_id":29156006,"publication_id":588}],"identifier":1674,"description":"DIANA-TarBase is a reference database that indexes experimentally-supported microRNA (miRNA) targets. It integrates information on cell-type specific miRNA–gene regulation and includes miRNA-binding locations. The target data provided by DIANA-TarBase is supported by information on methodologies, cell types/tissues and experimental conditions.","abbreviation":"TarBase","data_curation":{"type":"manual","notes":"This database contains experimentally supporter miRNA-gene interactions."},"support_links":[{"url":"http://diana.imis.athena-innovation.gr/DianaTools/index.php?r=site/contact","name":"DIANA Contact Form","type":"Contact form"},{"url":"http://carolina.imis.athena-innovation.gr/diana_tools/web/index.php?r=tarbasev8%2Fhelp","name":"Help","type":"Help documentation"},{"url":"http://carolina.imis.athena-innovation.gr/diana_tools/web/index.php?r=tarbasev8%2Fstatistics","name":"Statistics","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000130","bsg-d000130"],"name":"FAIRsharing record for: TarBase","abbreviation":"TarBase","url":"https://fairsharing.org/10.25504/FAIRsharing.a0k4cd","doi":"10.25504/FAIRsharing.a0k4cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DIANA-TarBase is a reference database that indexes experimentally-supported microRNA (miRNA) targets. It integrates information on cell-type specific miRNA–gene regulation and includes miRNA-binding locations. The target data provided by DIANA-TarBase is supported by information on methodologies, cell types/tissues and experimental conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Experimental measurement","Bibliography","Free text","Gene silencing by miRNA (microRNA)","Untranslated RNA","Protocol","Micro RNA","Experimentally determined","Gene"],"taxonomies":["Arabidopsis thaliana","Bombyx mori","Bos taurus","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Gallus gallus","Glycine max","Homo sapiens","Human cytomegalovirus","KSHV","Medicago truncatula","Mus musculus","Oryza sativa","Ovis aries","Physcomitrella patens","Rattus norvegicus","Vitis vinifera","Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":["Experimental condition"],"countries":["Greece"],"publications":[{"id":588,"pubmed_id":29156006,"title":"DIANA-TarBase v8: a decade-long collection of experimentally supported miRNA-gene interactions.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1141","authors":"Karagkouni D,Paraskevopoulou MD,Chatzopoulos S,Vlachos IS,Tastsoglou S,Kanellos I,Papadimitriou D,Kavakiotis I,Maniou S,Skoufos G,Vergoulis T,Dalamagas T,Hatzigeorgiou AG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1141","created_at":"2021-09-30T08:23:24.424Z","updated_at":"2021-09-30T11:28:47.433Z"},{"id":1604,"pubmed_id":18957447,"title":"The database of experimentally supported targets: a functional update of TarBase.","year":2008,"url":"http://doi.org/10.1093/nar/gkn809","authors":"Papadopoulos GL., Reczko M., Simossis VA., Sethupathy P., Hatzigeorgiou AG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn809","created_at":"2021-09-30T08:25:19.820Z","updated_at":"2021-09-30T08:25:19.820Z"},{"id":1605,"pubmed_id":16373484,"title":"TarBase: A comprehensive database of experimentally supported animal microRNA targets.","year":2005,"url":"http://doi.org/10.1261/rna.2239606","authors":"Sethupathy P., Corda B., Hatzigeorgiou AG.,","journal":"RNA","doi":"10.1261/rna.2239606","created_at":"2021-09-30T08:25:19.937Z","updated_at":"2021-09-30T08:25:19.937Z"},{"id":1613,"pubmed_id":25416803,"title":"DIANA-TarBase v7.0: indexing more than half a million experimentally supported miRNA:mRNA interactions.","year":2014,"url":"http://doi.org/10.1093/nar/gku1215","authors":"Vlachos IS,Paraskevopoulou MD,Karagkouni D,Georgakilas G,Vergoulis T,Kanellos I,Anastasopoulos IL,Maniou S,Karathanou K,Kalfakakou D,Fevgas A,Dalamagas T,Hatzigeorgiou AG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1215","created_at":"2021-09-30T08:25:20.776Z","updated_at":"2021-09-30T11:29:15.985Z"}],"licence_links":[{"licence_name":"DIANA-TarBase Licence Specifications","licence_id":238,"licence_url":"http://carolina.imis.athena-innovation.gr/diana_tools/web/index.php?r=tarbasev8%2Fdownloaddataform","link_id":1708,"relation":"undefined"}],"grants":[{"id":419,"fairsharing_record_id":1674,"organisation_id":1379,"relation":"maintains","created_at":"2021-09-30T09:24:31.085Z","updated_at":"2021-09-30T09:24:31.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":1379,"name":"Institute for Biomedical Informatics (IBI), University of Pennsylvania, Philadelphia, PA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":421,"fairsharing_record_id":1674,"organisation_id":759,"relation":"maintains","created_at":"2021-09-30T09:24:31.160Z","updated_at":"2021-09-30T09:24:31.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":759,"name":"Diana Lab Group, Greece","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":416,"fairsharing_record_id":1674,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:24:30.971Z","updated_at":"2021-09-30T09:24:30.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":417,"fairsharing_record_id":1674,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:31.002Z","updated_at":"2021-09-30T09:24:31.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":418,"fairsharing_record_id":1674,"organisation_id":269,"relation":"maintains","created_at":"2021-09-30T09:24:31.043Z","updated_at":"2021-09-30T09:24:31.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":269,"name":"Biomedical Sciences Research Center Alexander Fleming (BSRC), Vari, Greece","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":420,"fairsharing_record_id":1674,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:31.123Z","updated_at":"2021-09-30T09:24:31.123Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1677","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:41.369Z","metadata":{"doi":"10.25504/FAIRsharing.t3snf","name":"Gene Wiki","status":"ready","contacts":[{"contact_name":"Benjamin M Good","contact_email":"bgood@scripps.edu"}],"homepage":"http://en.wikipedia.org/wiki/Portal:Gene_Wiki","citations":[],"identifier":1677,"description":"The goal of the Gene Wiki is to apply community intelligence to the annotation of gene and protein function. The Gene Wiki is an informal collection of pages on human genes and proteins, and this effort to develop these pages is tightly coordinated with the Molecular and Cellular Biology Wikiproject. Our specific aims are summarized as follows: To provide a well written and informative Wikipedia article for every notable human gene; To invite participation by interested lay editors, students, professionals, and academics from around the world; To integrate Gene Wiki articles with existing Wikipedia content through the use of internal wiki links increasing the value of both.","abbreviation":"Gene Wiki","data_curation":{"type":"manual","notes":"community curation"},"support_links":[{"url":"https://en.wikipedia.org/wiki/Portal:Gene_Wiki#Gene_Wiki_Editing_FAQ","type":"Wikipedia"},{"url":"https://en.wikipedia.org/wiki/Portal:Gene_Wiki/Discussion","type":"Wikipedia"},{"url":"https://twitter.com/GeneWikiPulse","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Gene_Wiki","type":"Wikipedia"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"url":"https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Molecular_Biology/Genetics/Gene_Wiki","type":"open","notes":"From Wikipedia, the free encyclopedia"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000133","bsg-d000133"],"name":"FAIRsharing record for: Gene Wiki","abbreviation":"Gene Wiki","url":"https://fairsharing.org/10.25504/FAIRsharing.t3snf","doi":"10.25504/FAIRsharing.t3snf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the Gene Wiki is to apply community intelligence to the annotation of gene and protein function. The Gene Wiki is an informal collection of pages on human genes and proteins, and this effort to develop these pages is tightly coordinated with the Molecular and Cellular Biology Wikiproject. Our specific aims are summarized as follows: To provide a well written and informative Wikipedia article for every notable human gene; To invite participation by interested lay editors, students, professionals, and academics from around the world; To integrate Gene Wiki articles with existing Wikipedia content through the use of internal wiki links increasing the value of both.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12607}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Sequence annotation","Genome annotation","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1872,"pubmed_id":22075991,"title":"The Gene Wiki in 2011: community intelligence applied to human gene annotation.","year":2011,"url":"http://doi.org/10.1093/nar/gkr925","authors":"Good BM., Clarke EL., de Alfaro L., Su AI.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr925","created_at":"2021-09-30T08:25:50.565Z","updated_at":"2021-09-30T08:25:50.565Z"},{"id":1873,"pubmed_id":19755503,"title":"The Gene Wiki: community intelligence applied to human gene annotation.","year":2009,"url":"http://doi.org/10.1093/nar/gkp760","authors":"Huss JW., Lindenbaum P., Martone M., Roberts D., Pizarro A., Valafar F., Hogenesch JB., Su AI.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp760","created_at":"2021-09-30T08:25:50.682Z","updated_at":"2021-09-30T08:25:50.682Z"},{"id":1874,"pubmed_id":26989148,"title":"Wikidata as a semantic framework for the Gene Wiki initiative.","year":2016,"url":"http://doi.org/10.1093/database/baw015","authors":"Burgstaller-Muehlbacher S,Waagmeester A,Mitraka E,Turner J,Putman T,Leong J,Naik C,Pavlidis P,Schriml L,Good BM,Su AI","journal":"Database (Oxford)","doi":"10.1093/database/baw015","created_at":"2021-09-30T08:25:50.799Z","updated_at":"2021-09-30T08:25:50.799Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":235,"relation":"undefined"}],"grants":[{"id":430,"fairsharing_record_id":1677,"organisation_id":1117,"relation":"maintains","created_at":"2021-09-30T09:24:31.438Z","updated_at":"2021-09-30T09:24:31.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":1117,"name":"Genomics Institute of the Novartis Research Foundation, San Diego, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":428,"fairsharing_record_id":1677,"organisation_id":729,"relation":"maintains","created_at":"2021-09-30T09:24:31.383Z","updated_at":"2021-09-30T09:24:31.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":729,"name":"Department of Molecular Biology, The Scripps Research Institute, La Jolla, California, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":431,"fairsharing_record_id":1677,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:31.464Z","updated_at":"2021-09-30T09:24:31.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":429,"fairsharing_record_id":1677,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:31.415Z","updated_at":"2021-09-30T09:32:22.497Z","grant_id":1590,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1R01GM083924-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1678","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:35.277Z","metadata":{"doi":"10.25504/FAIRsharing.dd4j8j","name":"Ebola and Hemorrhagic Fever Virus Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"hfv-info@lanl.gov"}],"homepage":"http://hfv.lanl.gov/content/index","citations":[],"identifier":1678,"description":"The Ebola and Hemorrhagic Fever Virus Database stems from the Hemorrhagic Fever Viruses (HFV) Database Project founded by Dr. Carla Kuiken in 2009 at the Los Alamos National Laboratory (LANL). The HFV Database was modeled on the Los Alamos HIV Database, led by Dr. Bette Korber, and translated much of its tools, infrastructure and philosophy from HIV to HFV.","abbreviation":"HFV Database","data_curation":{"type":"automated"},"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000134","bsg-d000134"],"name":"FAIRsharing record for: Ebola and Hemorrhagic Fever Virus Database","abbreviation":"HFV Database","url":"https://fairsharing.org/10.25504/FAIRsharing.dd4j8j","doi":"10.25504/FAIRsharing.dd4j8j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ebola and Hemorrhagic Fever Virus Database stems from the Hemorrhagic Fever Viruses (HFV) Database Project founded by Dr. Carla Kuiken in 2009 at the Los Alamos National Laboratory (LANL). The HFV Database was modeled on the Los Alamos HIV Database, led by Dr. Bette Korber, and translated much of its tools, infrastructure and philosophy from HIV to HFV.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunology","Life Science"],"domains":["Sequence alignment","Viral sequence"],"taxonomies":["Nairovirus","Viruses","Zika virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1625,"pubmed_id":22064861,"title":"The LANL hemorrhagic fever virus database, a new platform for analyzing biothreat viruses.","year":2011,"url":"http://doi.org/10.1093/nar/gkr898","authors":"Kuiken C., Thurmond J., Dimitrijevic M., Yoon H.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr898","created_at":"2021-09-30T08:25:22.145Z","updated_at":"2021-09-30T08:25:22.145Z"}],"licence_links":[],"grants":[{"id":432,"fairsharing_record_id":1678,"organisation_id":2930,"relation":"funds","created_at":"2021-09-30T09:24:31.493Z","updated_at":"2021-09-30T09:24:31.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":2930,"name":"United States Defence Threat Reduction Agency","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9017,"fairsharing_record_id":1678,"organisation_id":1728,"relation":"maintains","created_at":"2022-03-24T09:53:41.069Z","updated_at":"2022-03-24T09:53:41.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory (LANL), Los Alamos, NM, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":9416,"fairsharing_record_id":1678,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.798Z","updated_at":"2022-04-11T12:07:36.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1679","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:33:42.060Z","metadata":{"doi":"10.25504/FAIRsharing.tber4e","name":"Human Integrated Pathway Database","status":"deprecated","contacts":[{"contact_name":"Sanghyuk Lee","contact_email":"sanghyuk@kribb.re.kr"}],"homepage":"http://hipathdb.kobic.re.kr","identifier":1679,"description":"Human Integrated Pathway Database (hiPathDB) provides two different types of integration. The pathway-level integration is a simple collection of individual pathways as described in the original database. The entity-level integration creates a super pathway that merged all pathways by unifying redundant components.","abbreviation":"hiPathDB","data_curation":{"type":"not found"},"support_links":[{"url":"hipathdb-help@kobic.kr","type":"Support email"},{"url":"http://hipathdb.kobic.re.kr/tutorial.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000135","bsg-d000135"],"name":"FAIRsharing record for: Human Integrated Pathway Database","abbreviation":"hiPathDB","url":"https://fairsharing.org/10.25504/FAIRsharing.tber4e","doi":"10.25504/FAIRsharing.tber4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Human Integrated Pathway Database (hiPathDB) provides two different types of integration. The pathway-level integration is a simple collection of individual pathways as described in the original database. The entity-level integration creates a super pathway that merged all pathways by unifying redundant components.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Molecular interaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":180,"pubmed_id":22123737,"title":"hiPathDB: a human-integrated pathway database with facile visualization.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1127","authors":"Yu N., Seo J., Rho K., Jang Y., Park J., Kim WK., Lee S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1127","created_at":"2021-09-30T08:22:39.672Z","updated_at":"2021-09-30T08:22:39.672Z"}],"licence_links":[],"grants":[{"id":436,"fairsharing_record_id":1679,"organisation_id":974,"relation":"funds","created_at":"2021-09-30T09:24:31.631Z","updated_at":"2021-09-30T09:24:31.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":974,"name":"Ewha Womans University","types":["University"],"is_lead":false,"relation":"funds"}},{"id":437,"fairsharing_record_id":1679,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:24:31.654Z","updated_at":"2021-09-30T09:29:46.696Z","grant_id":398,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"R15-2006-020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":435,"fairsharing_record_id":1679,"organisation_id":1647,"relation":"funds","created_at":"2021-09-30T09:24:31.601Z","updated_at":"2021-09-30T09:24:31.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1647,"name":"Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":438,"fairsharing_record_id":1679,"organisation_id":1646,"relation":"maintains","created_at":"2021-09-30T09:24:31.683Z","updated_at":"2021-09-30T09:24:31.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":1646,"name":"Korean Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7921,"fairsharing_record_id":1679,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:29:48.176Z","updated_at":"2021-09-30T09:29:48.226Z","grant_id":411,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0019745","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8232,"fairsharing_record_id":1679,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:31:39.356Z","updated_at":"2021-09-30T09:31:39.403Z","grant_id":1269,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0002321","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1651","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:33.097Z","metadata":{"doi":"10.25504/FAIRsharing.s22qdj","name":"UCSC Genome Browser database","status":"ready","contacts":[{"contact_name":"Public Mailing List","contact_email":"genome@soe.ucsc.edu","contact_orcid":null},{"contact_name":"Private Internal Mailing List","contact_email":"genome-www@soe.ucsc.edu","contact_orcid":null}],"homepage":"http://genome.ucsc.edu","citations":[],"identifier":1651,"description":"Genome assemblies and aligned annotations for a wide range of vertebrates and model organisms, along with an integrated tool set for visualizing, comparing, analyzing and sharing both publicly available and user-generated genomic datasets.","abbreviation":null,"data_curation":{"url":"https://genome.ucsc.edu/goldenPath/help/covidBrowserIntro.html","type":"manual/automated","notes":"Curate a list of user-submitted Public Track Hubs is displayed."},"support_links":[{"url":"genome@soe.ucsc.edu","type":"Support email"},{"url":"http://genome.ucsc.edu/FAQ/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/a/soe.ucsc.edu/forum/?hl=en#!forum/genome","type":"Forum"},{"url":"http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCQnUJepyNOw0p8s2otX4RYQ/videos","name":"Youtube channel","type":"Video"},{"url":"http://genome.ucsc.edu/training.html","type":"Training documentation"},{"url":"https://twitter.com/GenomeBrowser","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/UCSC_Genome_Browser","type":"Wikipedia"},{"url":"http://genome.ucsc.edu/contacts.html","name":"Contact Us link","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://genome.ucsc.edu/cgi-bin/hgBlat","name":"Blat"},{"url":"http://genome.ucsc.edu/cgi-bin/hgPcr","name":"In Silico PCR"},{"url":"http://genome.ucsc.edu/cgi-bin/hgGenome","name":"Genome Graphs"},{"url":"http://genome.ucsc.edu/cgi-bin/hgVisiGene","name":"VisiGene"},{"url":"http://genome.ucsc.edu/cgi-bin/hgLiftOver","name":"liftOver"},{"url":"http://genome.ucsc.edu/cgi-bin/hgVai","name":"Variant Annotation Integrator (VAI)"},{"url":"http://genome.ucsc.edu/cgi-bin/hgIntegrator","name":"Data Integrator"},{"url":"http://genome.ucsc.edu/goldenpath/help/gbib.html","name":"Genome Browser in a Box (virtual machine)"},{"url":"http://genome.ucsc.edu/goldenpath/help/gbic.html","name":"Genome Browser in the Cloud (installation script)"},{"url":"http://api.genome.ucsc.edu/","name":"REST API data interface"},{"url":"http://genome.ucsc.edu/cgi-bin/hgGeneGraph","name":"Gene interactions and pathways from curated databases and text-mining"},{"url":"http://genome.ucsc.edu/cgi-bin/hgPhyloPlace","name":"UShER: Ultrafast Sample placement on Existing tRee"},{"url":"https://cells.ucsc.edu/","name":"UCSC Cell Browser"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010243","name":"re3data:r3d100010243","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005780","name":"SciCrunch:RRID:SCR_005780","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"http://genome.ucsc.edu/goldenPath/credits.html","name":"Credits"},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000107","bsg-d000107"],"name":"FAIRsharing record for: UCSC Genome Browser database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.s22qdj","doi":"10.25504/FAIRsharing.s22qdj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genome assemblies and aligned annotations for a wide range of vertebrates and model organisms, along with an integrated tool set for visualizing, comparing, analyzing and sharing both publicly available and user-generated genomic datasets.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11052},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12297},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12597},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16184}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Immunology","Life Science","Transcriptomics","Comparative Genomics","Microbiology"],"domains":["Expression data","DNA sequence data","Annotation","Sequence annotation","Gene prediction","Sequence composition, complexity and repeats","DNA structural variation","Deoxyribonucleic acid","Ribonucleic acid","Regulation of gene expression","Biological regulation","Genetic polymorphism","Sequence alignment","DNA microarray","Disease phenotype","Sequence","Messenger RNA","Gene","Genome","Regulatory region","Indel","Genotype"],"taxonomies":["Ailuropoda melanoleuca","Alligator Mississippiensis","Balaenoptera acutorostrata scammoni","Bos taurus","Caenorhabditis elegans","Callithrix jacchus","Canis familiaris","Cavia porcellus","Ceratotherium simum","Choloepus hoffmanni","Cricetulus griseus","Danio rerio","Dasypus novemcinctus","Dipodomys ordii","Echinops telfairi","Equus caballus","Felis catus","Gallus gallus","Gorilla gorilla gorilla","Heterocephalus glaber","Homo sapiens","Loxodonta africana","Macaca mulatta","Macropus eugenii","Microcebus murinus","Monodelphis domestica","Mus musculus","Mustela putorius furo","Myotis lucifugus","Nomascus leucogenys","Ochotona princeps","Ornithorhynchus anatinus","Oryctolagus cuniculus","Oryzias latipes","Otolemur garnettii","Ovis aries","Pan paniscus","Pan troglodytes","Papio anubis","Pongo pygmaeus abelii","Procavia capensis","Pteropus vampyrus","Rattus norvegicus","Saimiri boliviensis","Sarcophilus harrisii","SARS-CoV-2","Sorex araneus","Spermophilus tridecemlineatus","Sus scrofa","Takifugu rubripes","Tarsius syrichta","Tetraodon nigroviridis","Trichechus manatus latirostris","Tupaia belangeri","Tursiops truncatus","Vicugna pacos","Xenopus tropicalis"],"user_defined_tags":["COVID-19","Uniqueness mapping"],"countries":["United States"],"publications":[{"id":202,"pubmed_id":14681465,"title":"The UCSC Table Browser data retrieval tool.","year":2003,"url":"http://doi.org/10.1093/nar/gkh103","authors":"Karolchik D., Hinrichs AS., Furey TS., Roskin KM., Sugnet CW., Haussler D., Kent WJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh103","created_at":"2021-09-30T08:22:42.065Z","updated_at":"2021-09-30T08:22:42.065Z"},{"id":203,"pubmed_id":11932250,"title":"BLAT--the BLAST-like alignment tool.","year":2002,"url":"http://doi.org/10.1101/gr.229202","authors":"Kent WJ.,","journal":"Genome Res.","doi":"10.1101/gr.229202","created_at":"2021-09-30T08:22:42.164Z","updated_at":"2021-09-30T08:22:42.164Z"},{"id":594,"pubmed_id":15867434,"title":"Exploring relationships and mining data with the UCSC Gene Sorter","year":2005,"url":"http://doi.org/10.1101/gr.3694705","authors":"Kent WJ, Hsu F, Karolchik D, Kuhn RM, Clawson H, Trumbower H, Haussler D","journal":"Genome Res.","doi":"10.1101/gr.3694705","created_at":"2021-09-30T08:23:25.168Z","updated_at":"2021-09-30T08:23:25.168Z"},{"id":951,"pubmed_id":23155063,"title":"The UCSC Genome Browser database: extensions and updates 2013","year":2012,"url":"http://doi.org/10.1093/nar/gks1048","authors":"Meyer LR, Zweig AS, Hinrichs AS, Karolchik D, Kuhn RM, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1048","created_at":"2021-09-30T08:24:05.228Z","updated_at":"2021-09-30T11:28:55.884Z"},{"id":952,"pubmed_id":23255150,"title":"The UCSC Genome Browser","year":2012,"url":"http://doi.org/10.1002/0471250953.bi0104s40","authors":"Karolchik D, Hinrichs AS, Kent WJ","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0104s40","created_at":"2021-09-30T08:24:05.321Z","updated_at":"2021-09-30T08:24:05.321Z"},{"id":1010,"pubmed_id":27899642,"title":"The UCSC Genome Browser database: 2017 update.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1134","authors":"Tyner C, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1134","created_at":"2021-09-30T08:24:11.831Z","updated_at":"2021-09-30T11:28:56.717Z"},{"id":1301,"pubmed_id":23193274,"title":"ENCODE data in the UCSC Genome Browser: year 5 update","year":2012,"url":"http://doi.org/10.1093/nar/gks1172","authors":"Rosenbloom KR, Sloan CA, Malladi VS, Dreszer TR, Learned K, Kirkup VM, Wong MC, Maddren M, Fang R, Heitner SG, Lee BT, Barber GP, Harte RA, Diekhans M, Long JC, Wilder SP, Zweig AS, Karolchik D, Kuhn RM, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1172","created_at":"2021-09-30T08:24:45.301Z","updated_at":"2021-09-30T08:24:45.301Z"},{"id":2696,"pubmed_id":33024970,"title":"Ultrafast Sample Placement on Existing Trees (UShER) Empowers Real-Time Phylogenetics for the SARS-CoV-2 Pandemic.","year":2020,"url":"http://doi.org/2020.09.26.314971","authors":"Turakhia Y,Thornlow B,Hinrichs AS,De Maio N,Gozashti L,Lanfear R,Haussler D,Corbett-Detig R","journal":"BioRxiv","doi":"2020.09.26.314971","created_at":"2021-09-30T08:27:31.080Z","updated_at":"2021-09-30T11:28:40.294Z"},{"id":2700,"pubmed_id":32266012,"title":"The UCSC repeat browser allows discovery and visualization of evolutionary conflict across repeat families.","year":2020,"url":"http://doi.org/10.1186/s13100-020-00208-w","authors":"Fernandes JD,Zamudio-Hurtado A,Clawson H,Kent WJ,Haussler D,Salama SR,Haeussler M","journal":"Mob DNA","doi":"10.1186/s13100-020-00208-w","created_at":"2021-09-30T08:27:31.647Z","updated_at":"2021-09-30T08:27:31.647Z"},{"id":2738,"pubmed_id":33221922,"title":"The UCSC Genome Browser database: 2021 update.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1070","authors":"Navarro Gonzalez J,Zweig AS,Speir ML,Schmelter D,Rosenbloom KR,Raney BJ,Powell CC,Nassar LR,Maulding ND,Lee CM,Lee BT,Hinrichs AS,Fyfe AC,Fernandes JD,Diekhans M,Clawson H,Casper J,Benet-Pages A,Barber GP,Haussler D,Kuhn RM,Haeussler M,Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1070","created_at":"2021-09-30T08:27:36.286Z","updated_at":"2021-09-30T11:29:42.245Z"},{"id":2739,"pubmed_id":32908258,"title":"The UCSC SARS-CoV-2 Genome Browser.","year":2020,"url":"http://doi.org/10.1038/s41588-020-0700-8","authors":"Fernandes JD,Hinrichs AS,Clawson H,Gonzalez JN,Lee BT,Nassar LR,Raney BJ,Rosenbloom KR,Nerli S,Rao AA,Schmelter D,Fyfe A,Maulding N,Zweig AS,Lowe TM,Ares M Jr,Corbet-Detig R,Kent WJ,Haussler D,Haeussler M","journal":"Nat Genet","doi":"10.1038/s41588-020-0700-8","created_at":"2021-09-30T08:27:36.404Z","updated_at":"2021-09-30T08:27:36.404Z"},{"id":2875,"pubmed_id":12045153,"title":"The human genome browser at UCSC","year":2002,"url":"http://doi.org/10.1101/gr.229102","authors":"Kent WJ., Sugnet CW., Furey TS., Roskin KM., Pringle TH., Zahler AM., Haussler D.,","journal":"Genome Res.","doi":"10.1101/gr.229102","created_at":"2021-09-30T08:27:53.947Z","updated_at":"2021-09-30T08:27:53.947Z"},{"id":2876,"pubmed_id":11237011,"title":"Initial sequencing and analysis of the human genome","year":2001,"url":"http://doi.org/10.1038/35057062","authors":"Lander ES., Linton LM., Birren B., Nusbaum C., Zody MC., Baldwin J., Devon K., Dewar K., Doyle M., FitzHugh W., Funke R. et al.","journal":"Nature","doi":"10.1038/35057062","created_at":"2021-09-30T08:27:54.057Z","updated_at":"2021-09-30T08:27:54.057Z"},{"id":2877,"pubmed_id":11544197,"title":"Assembly of the working draft of the human genome with GigAssembler.","year":2001,"url":"http://doi.org/10.1101/gr.183201","authors":"Kent WJ., Haussler D.,","journal":"Genome Res.","doi":"10.1101/gr.183201","created_at":"2021-09-30T08:27:54.165Z","updated_at":"2021-09-30T08:27:54.165Z"},{"id":2878,"pubmed_id":26590259,"title":"The UCSC Genome Browser database: 2016 update.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1275","authors":"Speir ML,Zweig AS,Rosenbloom KR,Raney BJ,Paten B,Nejad P,Lee BT,Learned K,Karolchik D,Hinrichs AS,Heitner S,Harte RA,Haeussler M,Guruvadoo L,Fujita PA,Eisenhart C,Diekhans M,Clawson H,Casper J,Barber GP,Haussler D,Kuhn RM,Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1275","created_at":"2021-09-30T08:27:54.279Z","updated_at":"2021-09-30T11:29:47.779Z"},{"id":2879,"pubmed_id":25428374,"title":"The UCSC Genome Browser database: 2015 update.","year":2014,"url":"http://doi.org/10.1093/nar/gku1177","authors":"Rosenbloom KR et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1177","created_at":"2021-09-30T08:27:54.395Z","updated_at":"2021-09-30T11:29:47.931Z"},{"id":2880,"pubmed_id":31691824,"title":"UCSC Genome Browser enters 20th year.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1012","authors":"Lee CM, Barber GP, Casper J, Clawson H, Diekhans M, Gonzalez JN, Hinrichs AS, Lee BT, Nassar LR, Powell CC, Raney BJ, Rosenbloom KR, Schmelter D, Speir ML, Zweig AS, Haussler D, Haeussler M, Kuhn RM, Kent WJ.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkz1012","created_at":"2021-09-30T08:27:54.514Z","updated_at":"2021-09-30T08:27:54.514Z"},{"id":2881,"pubmed_id":30407534,"title":"The UCSC Genome Browser database: 2019 update","year":2018,"url":"http://doi.org/10.1093/nar/gky1095","authors":"Haeussler M, Zweig AS, Tyner C, Speir ML, Rosenbloom KR, Raney BJ, Lee CM, Lee BT, Hinrichs AS, Gonzalez JN, Gibson D, Diekhans M, Clawson H, Casper J, Barber GP, Haussler D, Kuhn RM, Kent WJ.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gky1095","created_at":"2021-09-30T08:27:54.673Z","updated_at":"2021-09-30T08:27:54.673Z"},{"id":2882,"pubmed_id":29106570,"title":"The UCSC Genome Browser database: 2018 update.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1020","authors":"Casper J, et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkx1020","created_at":"2021-09-30T08:27:54.798Z","updated_at":"2021-09-30T08:27:54.798Z"},{"id":3128,"pubmed_id":34718705,"title":"The UCSC Genome Browser database: 2022 update.","year":2021,"url":"https://doi.org/10.1093/nar/gkab959","authors":"Lee BT, Barber GP, Benet-Pagès A, Casper J, Clawson H, Diekhans M, Fischer C, Gonzalez JN, Hinrichs AS, Lee CM, Muthuraman P, Nassar LR, Nguy B, Pereira T, Perez G, Raney BJ, Rosenbloom KR, Schmelter D, Speir ML, Wick BD, Zweig AS, Haussler D, Kuhn RM, Haeussler M, Kent WJ","journal":"Nucleic acids research","doi":"10.1093/nar/gkab959","created_at":"2021-11-08T21:48:40.545Z","updated_at":"2021-11-08T21:48:40.545Z"}],"licence_links":[{"licence_name":"UCSC Genome Browser Code - License required for commercial use","licence_id":801,"licence_url":"http://genome.ucsc.edu/license/","link_id":265,"relation":"undefined"}],"grants":[{"id":347,"fairsharing_record_id":1651,"organisation_id":1118,"relation":"maintains","created_at":"2021-09-30T09:24:28.251Z","updated_at":"2021-09-30T09:24:28.251Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":348,"fairsharing_record_id":1651,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:28.317Z","updated_at":"2021-09-30T09:24:28.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1652","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:38.198Z","metadata":{"doi":"10.25504/FAIRsharing.ne6jza","name":"zfishbook","status":"ready","contacts":[{"contact_name":"Karl Clark","contact_email":"clark.karl@mayo.edu","contact_orcid":"0000-0002-9637-0967"}],"homepage":"http://www.zfishbook.org","citations":[],"identifier":1652,"description":"Zfishbook is a real-time database of transposon-labeled mutants in zebrafish. This resource provides services for any size of GBT mutagenesis projects on zebrafish to encourage collaboration in the research community.","abbreviation":"zfishbook","data_curation":{"url":"https://www.zfishmeta.org/","type":"manual","notes":"Consider registering to help annotate your favorite tissues and expression domains."},"support_links":[{"url":"http://www.zfishbook.org/profiles.php?uid=2","type":"Contact form"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=newUserTutorialsDetails","type":"Training documentation"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=newUserTutorialsDetails","type":"Training documentation"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=newUserTutorialsDetails#registration","type":"Training documentation"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000108","bsg-d000108"],"name":"FAIRsharing record for: zfishbook","abbreviation":"zfishbook","url":"https://fairsharing.org/10.25504/FAIRsharing.ne6jza","doi":"10.25504/FAIRsharing.ne6jza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Zfishbook is a real-time database of transposon-labeled mutants in zebrafish. This resource provides services for any size of GBT mutagenesis projects on zebrafish to encourage collaboration in the research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Life Science"],"domains":["Expression data","Transposon integration","Phenotype"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":168,"pubmed_id":20528262,"title":"SCORE imaging: specimen in a corrected optical rotational enclosure.","year":2010,"url":"http://doi.org/10.1089/zeb.2010.0660","authors":"Petzold AM., Bedell VM., Boczek NJ., Essner JJ., Balciunas D., Clark KJ., Ekker SC.,","journal":"Zebrafish","doi":"10.1089/zeb.2010.0660","created_at":"2021-09-30T08:22:38.448Z","updated_at":"2021-09-30T08:22:38.448Z"},{"id":169,"pubmed_id":19858493,"title":"Nicotine response genetics in the zebrafish.","year":2009,"url":"http://doi.org/10.1073/pnas.0908247106","authors":"Petzold AM., Balciunas D., Sivasubbu S., Clark KJ., Bedell VM., Westcot SE., Myers SR., Moulder GL., Thomas MJ., Ekker SC.,","journal":"Proc. Natl. Acad. Sci. U.S.A.","doi":"10.1073/pnas.0908247106","created_at":"2021-09-30T08:22:38.539Z","updated_at":"2021-09-30T08:22:38.539Z"},{"id":1517,"pubmed_id":21552255,"title":"In vivo protein trapping produces a functional expression codex of the vertebrate proteome.","year":2011,"url":"http://doi.org/10.1038/nmeth.1606","authors":"Clark KJ., Balciunas D., Pogoda HM., Ding Y., Westcot SE., Bedell VM., Greenwood TM., Urban MD., Skuster KJ., Petzold AM., Ni J., Nielsen AL., Patowary A., Scaria V., Sivasubbu S., Xu X., Hammerschmidt M., Ekker SC.,","journal":"Nat. Methods","doi":"10.1038/nmeth.1606","created_at":"2021-09-30T08:25:09.802Z","updated_at":"2021-09-30T08:25:09.802Z"},{"id":1518,"pubmed_id":16859902,"title":"Gene-breaking transposon mutagenesis reveals an essential role for histone H2afza in zebrafish larval development.","year":2006,"url":"http://doi.org/10.1016/j.mod.2006.06.002","authors":"Sivasubbu S., Balciunas D., Davidson AE., Pickart MA., Hermanson SB., Wangensteen KJ., Wolbrink DC., Ekker SC.,","journal":"Mech. Dev.","doi":"10.1016/j.mod.2006.06.002","created_at":"2021-09-30T08:25:09.911Z","updated_at":"2021-09-30T08:25:09.911Z"},{"id":1519,"pubmed_id":22067444,"title":"zfishbook: connecting you to a world of zebrafish revertible mutants.","year":2011,"url":"http://doi.org/10.1093/nar/gkr957","authors":"Clark KJ,Argue DP,Petzold AM,Ekker SC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr957","created_at":"2021-09-30T08:25:10.067Z","updated_at":"2021-09-30T11:29:11.926Z"}],"licence_links":[],"grants":[{"id":350,"fairsharing_record_id":1652,"organisation_id":1799,"relation":"maintains","created_at":"2021-09-30T09:24:28.434Z","updated_at":"2021-09-30T09:24:28.434Z","grant_id":null,"is_lead":false,"saved_state":{"id":1799,"name":"Mayo Clinic, Scottsdale, AZ, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":349,"fairsharing_record_id":1652,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:28.376Z","updated_at":"2021-09-30T09:31:22.317Z","grant_id":1139,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM63904","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":352,"fairsharing_record_id":1652,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:24:28.529Z","updated_at":"2021-09-30T09:32:37.764Z","grant_id":1707,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"DA14546","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":354,"fairsharing_record_id":1652,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:28.605Z","updated_at":"2021-09-30T09:24:28.605Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":353,"fairsharing_record_id":1652,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:28.566Z","updated_at":"2021-09-30T09:30:49.249Z","grant_id":886,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG 006431","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":351,"fairsharing_record_id":1652,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:28.493Z","updated_at":"2021-09-30T09:31:53.934Z","grant_id":1377,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"P30 DK084567","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1653","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:40.538Z","metadata":{"doi":"10.25504/FAIRsharing.710xh8","name":"Database for Bacterial Group II Introns","status":"ready","contacts":[{"contact_name":"Steven Zimmerly","contact_email":"zimmerly@ucalgary.ca"}],"homepage":"http://webapps2.ucalgary.ca/~groupii","citations":[],"identifier":1653,"description":"Database for identification and cataloguing of group II introns. All bacterial introns listed are full-length and appear to be functional, based on intron RNA and IEP characteristics. The database names the full-length introns, and provides information on their boundaries, host genes, and secondary structures. In addition, the website provides tools for analysis that may be useful to researchers who encounter group II introns in DNA sequences.","abbreviation":"Group II introns database","data_curation":{"type":"not found"},"support_links":[{"url":"http://webapps2.ucalgary.ca/~groupii/html/static/howtofind.php","name":"How to find a group II intron","type":"Help documentation"},{"url":"http://webapps2.ucalgary.ca/~groupii/html/static/intro.php","name":"Introduction","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","associated_tools":[{"url":"http://webapps2.ucalgary.ca/~groupii/html/static/blast.php","name":"blast and download"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012723","name":"re3data:r3d100012723","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000109","bsg-d000109"],"name":"FAIRsharing record for: Database for Bacterial Group II Introns","abbreviation":"Group II introns database","url":"https://fairsharing.org/10.25504/FAIRsharing.710xh8","doi":"10.25504/FAIRsharing.710xh8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database for identification and cataloguing of group II introns. All bacterial introns listed are full-length and appear to be functional, based on intron RNA and IEP characteristics. The database names the full-length introns, and provides information on their boundaries, host genes, and secondary structures. In addition, the website provides tools for analysis that may be useful to researchers who encounter group II introns in DNA sequences.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12598}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Life Science"],"domains":["RNA secondary structure","Protein domain","Taxonomic classification","Deoxyribonucleic acid","Ribonucleic acid","Host","Exon","Intron","Group II intron","Mitochondrial sequence","Chloroplast sequence","Amino acid sequence"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["ORF-less introns"],"countries":["Canada"],"publications":[{"id":155,"pubmed_id":12520040,"title":"Database for mobile group II introns.","year":2003,"url":"http://doi.org/10.1093/nar/gkg049","authors":"Dai L., Toor N., Olson R., Keeping A., Zimmerly S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg049","created_at":"2021-09-30T08:22:36.880Z","updated_at":"2021-09-30T08:22:36.880Z"},{"id":1476,"pubmed_id":11861899,"title":"Compilation and analysis of group II intron insertions in bacterial genomes: evidence for retroelement behavior.","year":2002,"url":"http://doi.org/10.1093/nar/30.5.1091","authors":"Dai L., Zimmerly S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.5.1091","created_at":"2021-09-30T08:25:05.189Z","updated_at":"2021-09-30T08:25:05.189Z"},{"id":1830,"pubmed_id":12554871,"title":"ORF-less and reverse-transcriptase-encoding group II introns in archaebacteria, with a pattern of homing into related group II intron ORFs.","year":2003,"url":"http://doi.org/10.1261/rna.2126203","authors":"Dai L., Zimmerly S.,","journal":"RNA","doi":"10.1261/rna.2126203","created_at":"2021-09-30T08:25:45.538Z","updated_at":"2021-09-30T08:25:45.538Z"},{"id":2367,"pubmed_id":18676618,"title":"Group II introns in eubacteria and archaea: ORF-less introns and new varieties.","year":2008,"url":"http://doi.org/10.1261/rna.1056108","authors":"Simon DM., Clarke NA., McNeil BA., Johnson I., Pantuso D., Dai L., Chai D., Zimmerly S.,","journal":"RNA","doi":"10.1261/rna.1056108","created_at":"2021-09-30T08:26:51.005Z","updated_at":"2021-09-30T08:26:51.005Z"}],"licence_links":[],"grants":[{"id":356,"fairsharing_record_id":1653,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:28.683Z","updated_at":"2021-09-30T09:30:11.780Z","grant_id":593,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","grant":"MOP-49457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":355,"fairsharing_record_id":1653,"organisation_id":3278,"relation":"maintains","created_at":"2021-09-30T09:24:28.642Z","updated_at":"2021-09-30T09:24:28.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":3278,"name":"Zimmerly Lab, Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada.","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1670","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:24:30.266Z","metadata":{"doi":"10.25504/FAIRsharing.hgrpah","name":"NRG-CING","status":"deprecated","contacts":[],"homepage":"http://nmr.cmbi.ru.nl/NRG-CING","citations":[],"identifier":1670,"description":"Validated NMR structures of proteins and nucleic acids.","abbreviation":"NRG-CING","data_curation":{"type":"not found"},"support_links":[{"url":"http://143.210.185.204/NRG-CING/HTML/help.html","type":"Help documentation"},{"url":"http://143.210.185.204/NRG-CING/HTML/helpTutorials.html","type":"Training documentation"}],"year_creation":2008,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000126","bsg-d000126"],"name":"FAIRsharing record for: NRG-CING","abbreviation":"NRG-CING","url":"https://fairsharing.org/10.25504/FAIRsharing.hgrpah","doi":"10.25504/FAIRsharing.hgrpah","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Validated NMR structures of proteins and nucleic acids.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12605}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Protein structure","Nucleic acid sequence","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":["Validation"],"countries":["Netherlands"],"publications":[{"id":175,"pubmed_id":22139937,"title":"NRG-CING: integrated validation reports of remediated experimental biomolecular NMR data and coordinates in wwPDB.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1134","authors":"Doreleijers JF., Vranken WF., Schulte C., Markley JL., Ulrich EL., Vriend G., Vuister GW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1134","created_at":"2021-09-30T08:22:39.156Z","updated_at":"2021-09-30T08:22:39.156Z"}],"licence_links":[],"grants":[{"id":405,"fairsharing_record_id":1670,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:30.401Z","updated_at":"2021-09-30T09:24:30.401Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":406,"fairsharing_record_id":1670,"organisation_id":1389,"relation":"maintains","created_at":"2021-09-30T09:24:30.439Z","updated_at":"2021-09-30T09:24:30.439Z","grant_id":null,"is_lead":false,"saved_state":{"id":1389,"name":"Institute for Molecules and Materials (IMM), Radboud University, Nijmegen, The Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1671","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:15.232Z","metadata":{"doi":"10.25504/FAIRsharing.etqbej","name":"Pocket Similarity Search using Multiple-Sketches","status":"ready","contacts":[{"contact_name":"Kentaro Tomii","contact_email":"k-tomii@aist.go.jp"}],"homepage":"http://possum.cbrc.jp/PoSSuM/","citations":[],"identifier":1671,"description":"POcket Similarity Search Using Multiple-Sketches (PoSSuM) includes all the discovered protein-small molecule binding site pairs with annotations of various types (e.g., UniProt, CATH, SCOP, SCOPe, EC number and Gene ontology). PoSSuM enables rapid exploration of similar binding sites among structures with different global folds as well as similar folds. Moreover, PoSSuM is useful for predicting the binding ligand for unbound structures.","abbreviation":"PoSSuM","data_curation":{"type":"automated"},"support_links":[{"url":"http://possum.cbrc.jp/PoSSuM/dataset_help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"url":"https://possum.cbrc.pj.aist.go.jp/PoSSuM/","type":"open","notes":"The PoSSuM database is freely available for all researchers"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000127","bsg-d000127"],"name":"FAIRsharing record for: Pocket Similarity Search using Multiple-Sketches","abbreviation":"PoSSuM","url":"https://fairsharing.org/10.25504/FAIRsharing.etqbej","doi":"10.25504/FAIRsharing.etqbej","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: POcket Similarity Search Using Multiple-Sketches (PoSSuM) includes all the discovered protein-small molecule binding site pairs with annotations of various types (e.g., UniProt, CATH, SCOP, SCOPe, EC number and Gene ontology). PoSSuM enables rapid exploration of similar binding sites among structures with different global folds as well as similar folds. Moreover, PoSSuM is useful for predicting the binding ligand for unbound structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Binding site prediction","Protein interaction","Small molecule binding","Ligand binding domain binding"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":190,"pubmed_id":22135290,"title":"PoSSuM: a database of similar protein-ligand binding and putative pockets.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1130","authors":"Ito J., Tabei Y., Shimizu K., Tsuda K., Tomii K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1130","created_at":"2021-09-30T08:22:40.814Z","updated_at":"2021-09-30T08:22:40.814Z"},{"id":191,"pubmed_id":22113700,"title":"PDB-scale analysis of known and putative ligand-binding sites with structural sketches.","year":2011,"url":"http://doi.org/10.1002/prot.23232","authors":"Ito J., Tabei Y., Shimizu K., Tomii K., Tsuda K.,","journal":"Proteins","doi":"10.1002/prot.23232","created_at":"2021-09-30T08:22:40.916Z","updated_at":"2021-09-30T08:22:40.916Z"},{"id":1579,"pubmed_id":25404129,"title":"PoSSuM v.2.0: data update and a new function for investigating ligand analogs and target proteins of small-molecule drugs.","year":2014,"url":"http://doi.org/10.1093/nar/gku1144","authors":"Ito J,Ikeda K,Yamada K,Mizuguchi K,Tomii K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1144","created_at":"2021-09-30T08:25:17.027Z","updated_at":"2021-09-30T11:29:14.511Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":151,"relation":"undefined"}],"grants":[{"id":410,"fairsharing_record_id":1671,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:24:30.769Z","updated_at":"2021-09-30T09:24:30.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":408,"fairsharing_record_id":1671,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:24:30.695Z","updated_at":"2021-09-30T09:30:10.689Z","grant_id":586,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"KAKENHI 23500374","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":407,"fairsharing_record_id":1671,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:30.472Z","updated_at":"2021-09-30T09:24:30.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":409,"fairsharing_record_id":1671,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:24:30.731Z","updated_at":"2021-09-30T09:24:30.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1672","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:36:32.619Z","metadata":{"doi":"10.25504/FAIRsharing.5mr9c5","name":"SitEx database of eukaryotic protein functional sites","status":"deprecated","contacts":[{"contact_name":"Irina Medvedeva","contact_email":"brukaro@bionet.nsc.ru"}],"homepage":"http://www-bionet.sscc.ru/sitex/","identifier":1672,"description":"SitEx is a database containing information on eukaryotic protein functional sites. It stores the amino acid sequence positions in the functional site, in relation to the exon structure of encoding gene This can be used to detect the exons involved in shuffling in protein evolution, or to design protein-engineering experiments.","abbreviation":"SitEx","data_curation":{"type":"not found"},"support_links":[{"url":"http://www-bionet.sscc.ru/sitex/help.php","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/SitEx","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://www-bionet.sscc.ru/sitex/blast.php","name":"blast"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000128","bsg-d000128"],"name":"FAIRsharing record for: SitEx database of eukaryotic protein functional sites","abbreviation":"SitEx","url":"https://fairsharing.org/10.25504/FAIRsharing.5mr9c5","doi":"10.25504/FAIRsharing.5mr9c5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SitEx is a database containing information on eukaryotic protein functional sites. It stores the amino acid sequence positions in the functional site, in relation to the exon structure of encoding gene This can be used to detect the exons involved in shuffling in protein evolution, or to design protein-engineering experiments.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12606}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Protein domain","Binding motif","Structure","Sequence","Coding sequence","Amino acid sequence"],"taxonomies":["Anopheles gambiae","Ascaris suum","Bos taurus","Caenorhabditis elegans","Canis familiaris","Cavia porcellus","Danio rerio","Echis multisquamatus","Equus caballus","Eukaryota","Gallus gallus","Homo sapiens","Mus musculus","Oryctolagus cuniculus","Protobothrops flavoviridis","Rattus norvegicus","Sus scrofa","Xenopus tropicalis"],"user_defined_tags":["Discontinuity coefficient"],"countries":["Russia"],"publications":[{"id":196,"pubmed_id":22139920,"title":"SitEx: a computer system for analysis of projections of protein functional sites on eukaryotic genes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1187","authors":"Medvedeva I., Demenkov P., Kolchanov N., Ivanisenko V.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1187","created_at":"2021-09-30T08:22:41.439Z","updated_at":"2021-09-30T08:22:41.439Z"}],"licence_links":[],"grants":[{"id":414,"fairsharing_record_id":1672,"organisation_id":2198,"relation":"maintains","created_at":"2021-09-30T09:24:30.918Z","updated_at":"2021-09-30T09:24:30.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":2198,"name":"Novosibirsk State University, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":411,"fairsharing_record_id":1672,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:30.819Z","updated_at":"2021-09-30T09:30:19.037Z","grant_id":653,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"260429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":412,"fairsharing_record_id":1672,"organisation_id":2775,"relation":"maintains","created_at":"2021-09-30T09:24:30.858Z","updated_at":"2021-09-30T09:24:30.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":2775,"name":"The Federal Research Center Institute of Cytology and Genetics Lab, Novosibirsk, Russia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":413,"fairsharing_record_id":1672,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:24:30.888Z","updated_at":"2021-09-30T09:30:29.332Z","grant_id":732,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"14.740.11.0001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8221,"fairsharing_record_id":1672,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:31:37.448Z","updated_at":"2021-09-30T09:31:37.500Z","grant_id":1254,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"07.514.11.4003","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9325,"fairsharing_record_id":1672,"organisation_id":2474,"relation":"funds","created_at":"2022-04-11T12:07:30.538Z","updated_at":"2022-04-11T12:07:30.554Z","grant_id":1347,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"11-04-92712","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1661","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:38:11.678Z","metadata":{"doi":"10.25504/FAIRsharing.5q1p14","name":"Joint Genome Institute, Genomes OnLine Database","status":"ready","contacts":[{"contact_name":"T.B.K. Reddy","contact_email":"tbreddy@lbl.gov"}],"homepage":"https://gold.jgi.doe.gov/","citations":[{"doi":"10.1093/nar/gkac974","pubmed_id":null,"publication_id":3812}],"identifier":1661,"description":"Genomes Online Database, is a World Wide Web resource for comprehensive access to information regarding genome and metagenome sequencing projects, and their associated metadata, around the world. Information in GOLD is organized into levels to include Study, Organism or Biosample, Sequencing Project (SP), and Analysis Project (AP). All four levels, along with their complex list of metadata fields and controlled vocabulary (CV) terms, are connected to each other in a lucid framework to enhance scientific discovery. GOLD is a curated resource serving the research community and your input is critical to ensure high quality, accurate metadata in GOLD. ","abbreviation":"JGI-GOLD","data_curation":{"url":"https://gold.jgi.doe.gov/help","type":"manual"},"support_links":[{"url":"https://gold.jgi.doe.gov/news","name":"News","type":"Blog/News"},{"url":"https://en.wikipedia.org/wiki/Genomes_OnLine_Database","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"https://gold.jgi.doe.gov/help#","name":"Report an issue or send a message to GOLD","type":"Contact form"},{"url":"https://gold.jgi.doe.gov/resources/project_help_doc.pdf","name":"GOLD Project Entry Help Document","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/resources/Standardized_Metagenome_Naming.pdf","name":"GOLD Standardized Metagenome Naming Document","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/resources/Guidance_import_NCBI_genomes_metagenomes_to_GOLD_IMG.pdf","name":"Guidance on submitting public NCBI genomes and metagenomes into GOLD and IMG","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/resources/Metagenome-Assembled-Genomes-Naming-Standards.pdf","name":"Standardized Metagenome-Assembled Genome (MAG) naming in GOLD","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/help","name":"Help Page","type":"Help documentation"},{"url":"https://jgi.doe.gov/accessibility-section-508-statement/","name":"Accessibility / Section 508 Statement","type":"Other"}],"year_creation":1997,"data_versioning":"no","associated_tools":[{"url":"https://gold.jgi.doe.gov/biosamplemap","name":"Biosample Distribution Map"},{"url":"https://gold.jgi.doe.gov/organismmap","name":"Organism Distribution Map"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010808","name":"re3data:r3d100010808","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002817","name":"SciCrunch:RRID:SCR_002817","portal":"SciCrunch"}],"data_access_condition":{"url":"https://gold.jgi.doe.gov/usagepolicy","type":"partially open","notes":"Public metadata is accessible for research purposes."},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gold.jgi.doe.gov/resources/Guidance_import_NCBI_genomes_metagenomes_to_GOLD_IMG.pdf","type":"open","notes":"GOLD allows for the curation of project metadata related to sequence data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000117","bsg-d000117"],"name":"FAIRsharing record for: Joint Genome Institute, Genomes OnLine Database","abbreviation":"JGI-GOLD","url":"https://fairsharing.org/10.25504/FAIRsharing.5q1p14","doi":"10.25504/FAIRsharing.5q1p14","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genomes Online Database, is a World Wide Web resource for comprehensive access to information regarding genome and metagenome sequencing projects, and their associated metadata, around the world. Information in GOLD is organized into levels to include Study, Organism or Biosample, Sequencing Project (SP), and Analysis Project (AP). All four levels, along with their complex list of metadata fields and controlled vocabulary (CV) terms, are connected to each other in a lucid framework to enhance scientific discovery. GOLD is a curated resource serving the research community and your input is critical to ensure high quality, accurate metadata in GOLD. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12601},{"linking_record_name":"Department of Energy Office of Science Public Reusable Research Data Resources","linking_record_id":5364,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19185}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Phylogenetics","Metabolomics"],"domains":["Genome map","Taxonomic classification","Biological sample annotation","Annotation","Biological sample","Protocol","Study design","Phenotype","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":152,"pubmed_id":11125068,"title":"Genomes OnLine Database (GOLD): a monitor of genome projects world-wide.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.126","authors":"Bernal A., Ear U., Kyrpides N.,","journal":"Nucleic Acids Res.","doi":"11125068","created_at":"2021-09-30T08:22:36.522Z","updated_at":"2021-09-30T08:22:36.522Z"},{"id":164,"pubmed_id":17981842,"title":"The Genomes On Line Database (GOLD) in 2007: status of genomic and metagenomic projects and their associated metadata.","year":2007,"url":"http://doi.org/10.1093/nar/gkm884","authors":"Liolios K., Mavromatis K., Tavernarakis N., Kyrpides NC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm884","created_at":"2021-09-30T08:22:38.080Z","updated_at":"2021-09-30T08:22:38.080Z"},{"id":1543,"pubmed_id":10498782,"title":"Genomes OnLine Database (GOLD 1.0): a monitor of complete and ongoing genome projects world-wide.","year":1999,"url":"http://doi.org/10.1093/bioinformatics/15.9.773","authors":"Kyrpides NC.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/15.9.773","created_at":"2021-09-30T08:25:12.802Z","updated_at":"2021-09-30T08:25:12.802Z"},{"id":3075,"pubmed_id":19914934,"title":"The Genomes On Line Database (GOLD) in 2009: status of genomic and metagenomic projects and their associated metadata.","year":2009,"url":"http://doi.org/10.1093/nar/gkp848","authors":"Liolios K., Chen IM., Mavromatis K., Tavernarakis N., Hugenholtz P., Markowitz VM., Kyrpides NC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp848","created_at":"2021-09-30T08:28:18.900Z","updated_at":"2021-09-30T08:28:18.900Z"},{"id":3081,"pubmed_id":30357420,"title":"Genomes OnLine database (GOLD) v.7: updates and new features.","year":2018,"url":"http://doi.org/10.1093/nar/gky977","authors":"Mukherjee S,Stamatis D,Bertsch J,Ovchinnikova G,Katta HY,Mojica A,Chen IA,Kyrpides NC,Reddy T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky977","created_at":"2021-09-30T08:28:19.614Z","updated_at":"2021-09-30T11:29:50.979Z"},{"id":3363,"pubmed_id":null,"title":"Genomes OnLine Database (GOLD) v.8: overview and updates","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa983","authors":"Mukherjee, Supratim; Stamatis, Dimitri; Bertsch, Jon; Ovchinnikova, Galina; Sundaramurthi, Jagadish Chandrabose; Lee, Janey; Kandimalla, Mahathi; Chen, I-Min A; Kyrpides, Nikos C; Reddy, T B K; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa983","created_at":"2022-05-16T16:45:33.787Z","updated_at":"2022-05-16T16:45:33.787Z"},{"id":3812,"pubmed_id":null,"title":"Twenty-five years of Genomes OnLine Database (GOLD): data updates and new features in v.9","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac974","authors":"Mukherjee, Supratim; Stamatis, Dimitri; Li, Cindy Tianqing; Ovchinnikova, Galina; Bertsch, Jon; Sundaramurthi, Jagadish Chandrabose; Kandimalla, Mahathi; Nicolopoulos, Paul A; Favognano, Alessandro; Chen, I-Min A; Kyrpides, Nikos C; Reddy, T B K; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac974","created_at":"2023-03-20T15:48:13.173Z","updated_at":"2023-03-20T15:48:13.173Z"},{"id":3813,"pubmed_id":36794865,"title":"Standardized naming of microbiome samples in Genomes OnLine Database","year":2023,"url":"https://academic.oup.com/database/article/doi/10.1093/database/baad001/7042581?login=false","authors":"Supratim Mukherjee , Galina Ovchinnikova, Dimitri Stamatis, Cindy Tianqing Li , I-Min A Chen, Nikos C Kyrpides and T B K Reddy","journal":"Database","doi":"10.1093/database/baad001","created_at":"2023-03-21T19:12:20.727Z","updated_at":"2023-03-21T19:12:20.727Z"}],"licence_links":[{"licence_name":"GOLD Data Usage Policy","licence_id":359,"licence_url":"https://gold.jgi.doe.gov/usagepolicy","link_id":1607,"relation":"undefined"}],"grants":[{"id":380,"fairsharing_record_id":1661,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:24:29.568Z","updated_at":"2021-09-30T09:24:29.568Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":386,"fairsharing_record_id":1661,"organisation_id":1728,"relation":"funds","created_at":"2021-09-30T09:24:29.761Z","updated_at":"2021-09-30T09:32:07.546Z","grant_id":1480,"is_lead":false,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory (LANL), Los Alamos, NM, USA","grant":"DE-AC02-06NA25396","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":379,"fairsharing_record_id":1661,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:24:29.522Z","updated_at":"2021-09-30T09:24:29.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":382,"fairsharing_record_id":1661,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:24:29.638Z","updated_at":"2021-09-30T09:24:29.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":378,"fairsharing_record_id":1661,"organisation_id":705,"relation":"funds","created_at":"2021-09-30T09:24:29.484Z","updated_at":"2021-09-30T09:29:15.251Z","grant_id":160,"is_lead":false,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","grant":"DEFGC02-95ER61963","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":381,"fairsharing_record_id":1661,"organisation_id":1691,"relation":"funds","created_at":"2021-09-30T09:24:29.603Z","updated_at":"2021-09-30T09:30:35.191Z","grant_id":776,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":385,"fairsharing_record_id":1661,"organisation_id":1692,"relation":"funds","created_at":"2021-09-30T09:24:29.738Z","updated_at":"2021-09-30T09:31:35.194Z","grant_id":1236,"is_lead":false,"saved_state":{"id":1692,"name":"Lawrence Livermore National Laboratory (LLNL), USA","grant":"DE-AC52-07NA27344","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":383,"fairsharing_record_id":1661,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:24:29.664Z","updated_at":"2021-09-30T09:29:05.135Z","grant_id":86,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","grant":"10.1093/bioinformatics/15.9.773","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9403,"fairsharing_record_id":1661,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.019Z","updated_at":"2022-04-11T12:07:36.044Z","grant_id":771,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC03-76SF00098","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1662","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:31.291Z","metadata":{"doi":"10.25504/FAIRsharing.dvwz21","name":"GWASdb","status":"deprecated","contacts":[{"contact_name":"Mulin Jun Li","contact_email":"mulin0424.li@gmail.com"}],"homepage":"http://jjwanglab.org/gwasdb","identifier":1662,"description":"GWASdb comprises of collections of traits/diseases associated SNP (TASs) from current GWAS and their comprehensive functional annotations, as well as disease classifications.","abbreviation":"GWASdb","data_curation":{"type":"not found"},"support_links":[{"url":"junwen@uw.edu","name":"junwen@uw.edu","type":"Support email"},{"url":"http://jjwanglab.org/gwasdb/gwasdb2/gwasdb2/about","name":"About GWASdb","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GWASdb","name":"GWASdb Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://jjwanglab.org/gwasrap","name":"GWASrap"},{"url":"http://jjwanglab.org/snvrap","name":"SNVrap"},{"url":"http://mulinlab.tmu.edu.cn/gwas4d","name":"GWAS4D"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000118","bsg-d000118"],"name":"FAIRsharing record for: GWASdb","abbreviation":"GWASdb","url":"https://fairsharing.org/10.25504/FAIRsharing.dvwz21","doi":"10.25504/FAIRsharing.dvwz21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GWASdb comprises of collections of traits/diseases associated SNP (TASs) from current GWAS and their comprehensive functional annotations, as well as disease classifications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Annotation","Computational biological predictions","Disease process modeling","Genetic polymorphism","Splice site","Micro RNA (miRNA) target site","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Hong Kong"],"publications":[{"id":154,"pubmed_id":22139925,"title":"GWASdb: a database for human genetic variants identified by genome-wide association studies.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1182","authors":"Li MJ., Wang P., Liu X., Lim EL., Wang Z., Yeager M., Wong MP., Sham PC., Chanock SJ., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1182","created_at":"2021-09-30T08:22:36.781Z","updated_at":"2021-09-30T08:22:36.781Z"},{"id":490,"pubmed_id":22801476,"title":"Genetic variant representation, annotation and prioritization in the post-GWAS era","year":2012,"url":"http://doi.org/10.1038/cr.2012.106","authors":"Mulin Jun Li, Pak Chung Sham and Junwen Wang","journal":"Cell Research","doi":"10.1038/cr.2012.106","created_at":"2021-09-30T08:23:13.277Z","updated_at":"2021-09-30T08:23:13.277Z"},{"id":2558,"pubmed_id":26615194,"title":"GWASdb v2: an update database for human genetic variants identified by genome-wide association studies.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1317","authors":"Li MJ,Liu Z,Wang P,Wong MP,Nelson MR,Kocher JP,Yeager M,Sham PC,Chanock SJ,Xia Z,Wang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1317","created_at":"2021-09-30T08:27:13.784Z","updated_at":"2021-09-30T11:29:39.312Z"}],"licence_links":[],"grants":[{"id":388,"fairsharing_record_id":1662,"organisation_id":3065,"relation":"maintains","created_at":"2021-09-30T09:24:29.811Z","updated_at":"2021-09-30T09:24:29.811Z","grant_id":null,"is_lead":true,"saved_state":{"id":3065,"name":"University of Hong Kong","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":389,"fairsharing_record_id":1662,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:29.837Z","updated_at":"2021-09-30T09:24:29.837Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1663","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:42:00.211Z","metadata":{"doi":"10.25504/FAIRsharing.vm6g21","name":"Integrated Genomic Database of Non-Small Cell Lung Cancer","status":"deprecated","contacts":[{"contact_name":"Yuh-Shan Jou","contact_email":"jou@ibms.sinica.edu.tw"}],"homepage":"http://igdb.nsclc.ibms.sinica.edu.tw","citations":[],"identifier":1663,"description":"Integrated Genomic Database of Non-Small Cell Lung Cancer.","abbreviation":"IGDB.NSCLC","data_curation":{"type":"manual"},"support_links":[{"url":"http://igdb.nsclc.ibms.sinica.edu.tw/tutorial.php","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n\n","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000119","bsg-d000119"],"name":"FAIRsharing record for: Integrated Genomic Database of Non-Small Cell Lung Cancer","abbreviation":"IGDB.NSCLC","url":"https://fairsharing.org/10.25504/FAIRsharing.vm6g21","doi":"10.25504/FAIRsharing.vm6g21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integrated Genomic Database of Non-Small Cell Lung Cancer.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12602}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Expression data","MicroRNA expression analysis","Genome","Point mutation","Copy number variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":1898,"pubmed_id":22139933,"title":"IGDB.NSCLC: integrated genomic database of non-small cell lung cancer.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1183","authors":"Kao S,Shiau CK,Gu DL,Ho CM,Su WH,Chen CF,Lin CH,Jou YS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1183","created_at":"2021-09-30T08:25:53.486Z","updated_at":"2021-09-30T11:29:22.452Z"}],"licence_links":[],"grants":[{"id":390,"fairsharing_record_id":1663,"organisation_id":1405,"relation":"maintains","created_at":"2021-09-30T09:24:29.861Z","updated_at":"2021-09-30T09:24:29.861Z","grant_id":null,"is_lead":false,"saved_state":{"id":1405,"name":"Institute of Biomedical Sciences (IBMS), Academia Sinica, Taipei, Taiwan","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":391,"fairsharing_record_id":1663,"organisation_id":2068,"relation":"funds","created_at":"2021-09-30T09:24:29.887Z","updated_at":"2021-09-30T09:29:27.671Z","grant_id":259,"is_lead":false,"saved_state":{"id":2068,"name":"National Research Program For Genomic Medicine (NRPGM), Taipe, Taiwan","grant":"NSC98-3112-B-001-004","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8190,"fairsharing_record_id":1663,"organisation_id":2068,"relation":"funds","created_at":"2021-09-30T09:31:24.890Z","updated_at":"2021-09-30T09:31:24.945Z","grant_id":1159,"is_lead":false,"saved_state":{"id":2068,"name":"National Research Program For Genomic Medicine (NRPGM), Taipe, Taiwan","grant":"NSC98-3112-B-001-031","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":392,"fairsharing_record_id":1663,"organisation_id":2067,"relation":"funds","created_at":"2021-09-30T09:24:29.916Z","updated_at":"2021-09-30T09:32:11.371Z","grant_id":1509,"is_lead":false,"saved_state":{"id":2067,"name":"National Research Program for Biopharmaceuticals","grant":"NSC100-2325-B-001-012","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1664","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.419Z","metadata":{"doi":"10.25504/FAIRsharing.a4ybgg","name":"Indel Flanking Region Database","status":"deprecated","contacts":[{"contact_name":"Bin Gong","contact_email":"gb@sdu.edu.cn"}],"homepage":"http://indel.bioinfo.sdu.edu.cn","identifier":1664,"description":"Indel Flanking Region Database is an online resource for indels (insertion/deletions) and the flanking regions of proteins in SCOP superfamilies. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid indels, substitutions and the relationship between them.","abbreviation":"IndelFR","data_curation":{"type":"not found"},"support_links":[{"url":"http://indel.bioinfo.sdu.edu.cn/gridsphere/gridsphere?cid=contact","type":"Contact form"},{"url":"http://indel.bioinfo.sdu.edu.cn/gridsphere/gridsphere?cid=help","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000120","bsg-d000120"],"name":"FAIRsharing record for: Indel Flanking Region Database","abbreviation":"IndelFR","url":"https://fairsharing.org/10.25504/FAIRsharing.a4ybgg","doi":"10.25504/FAIRsharing.a4ybgg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Indel Flanking Region Database is an online resource for indels (insertion/deletions) and the flanking regions of proteins in SCOP superfamilies. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid indels, substitutions and the relationship between them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Structure","Hydrophobicity","Hydrophilicity","Amino acid sequence","Indel"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":464,"pubmed_id":20671041,"title":"Impact of indels on the flanking regions in structural domains.","year":2010,"url":"http://doi.org/10.1093/molbev/msq196","authors":"Zhang Z., Huang J., Wang Z., Wang L., Gao P.,","journal":"Mol. Biol. Evol.","doi":"10.1093/molbev/msq196","created_at":"2021-09-30T08:23:10.450Z","updated_at":"2021-09-30T08:23:10.450Z"},{"id":758,"pubmed_id":22127860,"title":"IndelFR: a database of indels in protein structures and their flanking regions.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1107","authors":"Zhang Z,Xing C,Wang L,Gong B,Liu H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1107","created_at":"2021-09-30T08:23:43.501Z","updated_at":"2021-09-30T11:28:50.175Z"}],"licence_links":[],"grants":[{"id":395,"fairsharing_record_id":1664,"organisation_id":2629,"relation":"maintains","created_at":"2021-09-30T09:24:30.035Z","updated_at":"2021-09-30T09:24:30.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":2629,"name":"State Key Laboratory of Microbial Technology, Shandong University, Jinan, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":393,"fairsharing_record_id":1664,"organisation_id":2554,"relation":"funds","created_at":"2021-09-30T09:24:29.957Z","updated_at":"2021-09-30T09:29:09.844Z","grant_id":120,"is_lead":false,"saved_state":{"id":2554,"name":"Shangdong University, China","grant":"2009JC006","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":394,"fairsharing_record_id":1664,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:29.998Z","updated_at":"2021-09-30T09:31:14.916Z","grant_id":1085,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"61070017","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8179,"fairsharing_record_id":1664,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:21.872Z","updated_at":"2021-09-30T09:31:21.926Z","grant_id":1136,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30970092","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1665","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:54:57.131Z","metadata":{"doi":"10.25504/FAIRsharing.jhfs8q","name":"Integrated Pathway Analysis and Visualization System","status":"deprecated","contacts":[{"contact_name":"Do Han Kim","contact_email":"dhkim@gist.ac.kr"}],"homepage":"http://ipavs.cidms.org","identifier":1665,"description":"iPAVS provides a collection of highly-structured manually curated human pathway data, it also integrates biological pathway information from several public databases and provides several tools to manipulate, filter, browse, search, analyze, visualize and compare the integrated pathway resources.","abbreviation":"IPAVS","data_curation":{"type":"not found"},"support_links":[{"url":"https://sites.google.com/a/cidms.org/ipavs_tutorials/faqs","name":"IPAVS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://sites.google.com/a/cidms.org/ipavs_tutorials/","name":"IPAVS Tutorials","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000121","bsg-d000121"],"name":"FAIRsharing record for: Integrated Pathway Analysis and Visualization System","abbreviation":"IPAVS","url":"https://fairsharing.org/10.25504/FAIRsharing.jhfs8q","doi":"10.25504/FAIRsharing.jhfs8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iPAVS provides a collection of highly-structured manually curated human pathway data, it also integrates biological pathway information from several public databases and provides several tools to manipulate, filter, browse, search, analyze, visualize and compare the integrated pathway resources.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12603}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science","Metabolomics","Transcriptomics","Systems Biology","Data Visualization"],"domains":["Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":171,"pubmed_id":21423387,"title":"Current trends and new challenges of databases and web applications for systems driven biological research.","year":2010,"url":"http://doi.org/10.3389/fphys.2010.00147","authors":"Sreenivasaiah PK., Kim do H.,","journal":"Front Physiol","doi":"10.3389/fphys.2010.00147","created_at":"2021-09-30T08:22:38.724Z","updated_at":"2021-09-30T08:22:38.724Z"},{"id":172,"pubmed_id":18261742,"title":"An overview of cardiac systems biology.","year":2008,"url":"http://doi.org/10.1016/j.yjmcc.2007.12.005","authors":"Shreenivasaiah PK., Rho SH., Kim T., Kim do H.,","journal":"J. Mol. Cell. Cardiol.","doi":"10.1016/j.yjmcc.2007.12.005","created_at":"2021-09-30T08:22:38.832Z","updated_at":"2021-09-30T08:22:38.832Z"},{"id":1326,"pubmed_id":21071716,"title":"Biology of endoplasmic reticulum stress in the heart.","year":2010,"url":"http://doi.org/10.1161/CIRCRESAHA.110.227033","authors":"Groenendyk J., Sreenivasaiah PK., Kim do H., Agellon LB., Michalak M.,","journal":"Circ. Res.","doi":"10.1161/CIRCRESAHA.110.227033","created_at":"2021-09-30T08:24:48.417Z","updated_at":"2021-09-30T08:24:48.417Z"}],"licence_links":[{"licence_name":"IPAVS Terms and conditions","licence_id":448,"licence_url":"http://ipavs.cidms.org/about","link_id":2204,"relation":"undefined"}],"grants":[{"id":397,"fairsharing_record_id":1665,"organisation_id":2695,"relation":"maintains","created_at":"2021-09-30T09:24:30.118Z","updated_at":"2021-09-30T09:24:30.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2695,"name":"Systems Biology Laboratory of Gwangju Institute of Science and Technology, Department of Life Sciences, Gwangju, South Korea","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":398,"fairsharing_record_id":1665,"organisation_id":1202,"relation":"funds","created_at":"2021-09-30T09:24:30.156Z","updated_at":"2021-09-30T09:29:32.810Z","grant_id":294,"is_lead":false,"saved_state":{"id":1202,"name":"GRIPS Innovation, Science and Technology Policy Program","grant":"GIST Systems Biology Infrastructure Establishment Grant (2010)","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":396,"fairsharing_record_id":1665,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:24:30.076Z","updated_at":"2021-09-30T09:30:31.222Z","grant_id":745,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"Korea MEST NRF grant (2010-0002159)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1666","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:13:04.234Z","metadata":{"doi":"10.25504/FAIRsharing.yxrs8t","name":"MethylomeDB","status":"deprecated","contacts":[{"contact_email":"fgh3@columbia.edu"}],"homepage":"http://habanero.mssm.edu/methylomedb/index.html","identifier":1666,"description":"This resource details DNA methylation profiles in human and mouse brain. This database includes genome-wide DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples.","abbreviation":"MethylomeDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://habanero.mssm.edu/methylomedb/contact.html","type":"Contact form"},{"url":"http://habanero.mssm.edu/methylomedb/help_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://habanero.mssm.edu/methylomedb/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://habanero.mssm.edu/index.html","name":"Browser"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000122","bsg-d000122"],"name":"FAIRsharing record for: MethylomeDB","abbreviation":"MethylomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.yxrs8t","doi":"10.25504/FAIRsharing.yxrs8t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource details DNA methylation profiles in human and mouse brain. This database includes genome-wide DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA methylation","Methylation","Brain"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":581,"pubmed_id":22140101,"title":"MethylomeDB: a database of DNA methylation profiles of the brain.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1193","authors":"Xin Y., Chanrion B., O'Donnell AH., Milekic M., Costa R., Ge Y., Haghighi FG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1193","created_at":"2021-09-30T08:23:23.569Z","updated_at":"2021-09-30T08:23:23.569Z"},{"id":1888,"pubmed_id":21216877,"title":"Distinct DNA methylation changes highly correlated with chronological age in the human brain.","year":2011,"url":"http://doi.org/10.1093/hmg/ddq561","authors":"Hernandez DG,Nalls MA,Gibbs JR,Arepalli S,van der Brug M,Chong S,Moore M,Longo DL,Cookson MR,Traynor BJ,Singleton AB","journal":"Hum Mol Genet","doi":"10.1093/hmg/ddq561","created_at":"2021-09-30T08:25:52.373Z","updated_at":"2021-09-30T08:25:52.373Z"}],"licence_links":[],"grants":[{"id":400,"fairsharing_record_id":1666,"organisation_id":562,"relation":"maintains","created_at":"2021-09-30T09:24:30.222Z","updated_at":"2021-09-30T09:24:30.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":562,"name":"Columbia University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":399,"fairsharing_record_id":1666,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:24:30.188Z","updated_at":"2021-09-30T09:32:21.021Z","grant_id":1579,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"Z01 AG000932-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1667","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:15:39.668Z","metadata":{"doi":"10.25504/FAIRsharing.5pfx4r","name":"miRNEST","status":"deprecated","contacts":[{"contact_email":"miszcz@amu.edu.pl"}],"homepage":"http://mirnest.amu.edu.pl","citations":[],"identifier":1667,"description":"miRNEST is an integrative collection of animal, plant and virus microRNA data. miRNEST is being gradually developed to create an integrative resource of miRNA-associated data. The data comes from our computational predictions (new miRNAs, targets, mirtrons, miRNA gene structures) as well as from other databases and publications.","abbreviation":"miRNEST","data_curation":{"type":"not found"},"support_links":[{"url":"http://rhesus.amu.edu.pl/mirnest/copy/update.html","name":"What's New in miRNEST","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/MiRNEST","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://rhesus.amu.edu.pl/mirnest/copy/deep.php","name":"Deep-seq predictions"},{"url":"http://rhesus.amu.edu.pl/mirnest/copy/mirtrons.php","name":"Mirtrons"},{"url":"http://rhesus.amu.edu.pl/mirnest/copy/mirna_gene_structure.php","name":"miRNA gene filtering"},{"url":"http://rhesus.amu.edu.pl/mirnest/copy/degradomes.php","name":"Degradomes"}],"deprecation_date":"2022-01-29","deprecation_reason":"This resource's homepage is no longer available, and an updated homepage cannot be found. Please let us know if you have any information. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000123","bsg-d000123"],"name":"FAIRsharing record for: miRNEST","abbreviation":"miRNEST","url":"https://fairsharing.org/10.25504/FAIRsharing.5pfx4r","doi":"10.25504/FAIRsharing.5pfx4r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: miRNEST is an integrative collection of animal, plant and virus microRNA data. miRNEST is being gradually developed to create an integrative resource of miRNA-associated data. The data comes from our computational predictions (new miRNAs, targets, mirtrons, miRNA gene structures) as well as from other databases and publications.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12604}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["RNA secondary structure","Expression data","RNA sequence","Multiple sequence alignment","Computational biological predictions","Regulation of miRNA metabolic process","Genetic polymorphism","Sequencing read","Promoter","Micro RNA","Pre-miRNA (pre-microRNA)","Target"],"taxonomies":["All"],"user_defined_tags":["Deep sequencing reads aligned to miRNAs"],"countries":["Poland"],"publications":[{"id":153,"pubmed_id":22135287,"title":"miRNEST database: an integrative approach in microRNA search and annotation.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1159","authors":"Szcześniak MW., Deorowicz S., Gapski J., Kaczyński Ł., Makalowska I.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1159","created_at":"2021-09-30T08:22:36.674Z","updated_at":"2021-09-30T08:22:36.674Z"},{"id":1363,"pubmed_id":24243848,"title":"miRNEST 2.0: a database of plant and animal microRNAs.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1156","authors":"Szczesniak MW,Makalowska I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1156","created_at":"2021-09-30T08:24:52.417Z","updated_at":"2021-09-30T11:29:06.968Z"}],"licence_links":[],"grants":[{"id":401,"fairsharing_record_id":1667,"organisation_id":1672,"relation":"maintains","created_at":"2021-09-30T09:24:30.244Z","updated_at":"2021-09-30T09:24:30.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":1672,"name":"Laboratory of Bioinformatics, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614 Poznan, Poland","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1668","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:23.226Z","metadata":{"doi":"10.25504/FAIRsharing.26pqv5","name":"MitoZoa","status":"ready","contacts":[{"contact_name":"Carmela Gissi","contact_email":"carmela.gissi@unimi.it","contact_orcid":"0000-0002-2269-079X"}],"homepage":"http://srv00.recas.ba.infn.it/mitozoa/","citations":[],"identifier":1668,"description":"MitoZoa is a specialized database collecting complete and nearly-complete (longer than 7 kb) mtDNA entries of metazoan species, excluding Placozoa. MitoZoa contains curated entries, whose gene annotation has been significantly improved using a semi-automatic reannotation pipeline and by manual curation of mitogenomics experts. MitoZoa has been specifically designed to address comparative analyses of mitochondrial genomic features in a given metazoan group or in species belonging to the same genus (congeneric species). MitoZoa focuses on mitochondrial gene order, non-coding regions, gene content, and gene sequences.","abbreviation":"MitoZoa","data_curation":{"url":"http://srv00.recas.ba.infn.it/mitozoa/","type":"manual/automated","notes":"Gene annotation has been significantly improved using a semi-automatic reannotation pipeline and by manual curation of mitogenomics experts."},"support_links":[{"url":"http://srv00.recas.ba.infn.it/mitozoa/help.htm","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://srv00.recas.ba.infn.it/mitozoa/blast.php","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000124","bsg-d000124"],"name":"FAIRsharing record for: MitoZoa","abbreviation":"MitoZoa","url":"https://fairsharing.org/10.25504/FAIRsharing.26pqv5","doi":"10.25504/FAIRsharing.26pqv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MitoZoa is a specialized database collecting complete and nearly-complete (longer than 7 kb) mtDNA entries of metazoan species, excluding Placozoa. MitoZoa contains curated entries, whose gene annotation has been significantly improved using a semi-automatic reannotation pipeline and by manual curation of mitogenomics experts. MitoZoa has been specifically designed to address comparative analyses of mitochondrial genomic features in a given metazoan group or in species belonging to the same genus (congeneric species). MitoZoa focuses on mitochondrial gene order, non-coding regions, gene content, and gene sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Citation","Gene functional annotation","Mitochondrion","Curated information","Mitochondrial genome","Transfer RNA","Coding sequence"],"taxonomies":["Metazoa","Placozoa"],"user_defined_tags":["Mitochondrial gene annotation correction","Mitochondrial gene nomenclature","Mitochondrial gene order","Mitochondrial introns","Mitochondrial non-coding region (NCR) sequences","Mitochondrial pseudogenes","Mitochondrial tRNA"],"countries":["Italy"],"publications":[{"id":159,"pubmed_id":20080208,"title":"MitoZoa: a curated mitochondrial genome database of metazoans for comparative genomics studies.","year":2010,"url":"http://doi.org/10.1016/j.mito.2010.01.004","authors":"Lupi R., de Meo PD., Picardi E., D'Antonio M., Paoletti D., Castrignanò T., Pesole G., Gissi C.,","journal":"Mitochondrion","doi":"10.1016/j.mito.2010.01.004","created_at":"2021-09-30T08:22:37.531Z","updated_at":"2021-09-30T08:22:37.531Z"}],"licence_links":[],"grants":[{"id":9467,"fairsharing_record_id":1668,"organisation_id":3018,"relation":"undefined","created_at":"2022-04-28T14:02:37.219Z","updated_at":"2022-04-28T14:02:37.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":3018,"name":"University of Bari, Bari, Italy","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":9468,"fairsharing_record_id":1668,"organisation_id":3492,"relation":"undefined","created_at":"2022-04-28T14:02:37.232Z","updated_at":"2022-04-28T14:02:37.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":3492,"name":"University of Milan","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":9469,"fairsharing_record_id":1668,"organisation_id":522,"relation":"undefined","created_at":"2022-04-28T14:02:37.274Z","updated_at":"2022-04-28T14:02:37.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":522,"name":"CINECA, Bologna, Italy","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1654","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.340Z","metadata":{"doi":"10.25504/FAIRsharing.990a1b","name":"Autism Knowledgebase","status":"deprecated","contacts":[{"contact_name":"Liping Wei","contact_email":"weilp@mail.cbi.pku.edu.cn"}],"homepage":"http://autismkb.cbi.pku.edu.cn/","identifier":1654,"description":"Autism genetics KnowledgeBase, an evidence-based knowledgebase of autism genetics.","abbreviation":"Autism KB","data_curation":{"type":"not found"},"support_links":[{"url":"http://autismkb.cbi.pku.edu.cn/contact.php","type":"Contact form"},{"url":"AutismKB@mail.cbi.pku.ed.cn","type":"Support email"},{"url":"http://autismkb.cbi.pku.edu.cn/document.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://autismkb.cbi.pku.edu.cn/rank.php","name":"Ranking Tool"},{"url":"http://autismkb.cbi.pku.edu.cn/blast.php","name":"Blast"}],"deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000110","bsg-d000110"],"name":"FAIRsharing record for: Autism Knowledgebase","abbreviation":"Autism KB","url":"https://fairsharing.org/10.25504/FAIRsharing.990a1b","doi":"10.25504/FAIRsharing.990a1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Autism genetics KnowledgeBase, an evidence-based knowledgebase of autism genetics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Autistic disorder","Genetic polymorphism","Disease","Gene","Copy number variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":167,"pubmed_id":22139918,"title":"AutismKB: an evidence-based knowledgebase of autism genetics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1145","authors":"Xu LM., Li JR., Huang Y., Zhao M., Tang X., Wei L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1145","created_at":"2021-09-30T08:22:38.355Z","updated_at":"2021-09-30T08:22:38.355Z"}],"licence_links":[],"grants":[{"id":358,"fairsharing_record_id":1654,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:28.753Z","updated_at":"2021-09-30T09:24:28.753Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":357,"fairsharing_record_id":1654,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:28.720Z","updated_at":"2021-09-30T09:31:07.746Z","grant_id":1030,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2011CBA01102","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":359,"fairsharing_record_id":1654,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:28.777Z","updated_at":"2021-09-30T09:32:20.789Z","grant_id":1577,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31025014","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1655","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:39.961Z","metadata":{"doi":"10.25504/FAIRsharing.z6rbe3","name":"BacMap","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca","contact_orcid":null}],"homepage":"http://bacmap.wishartlab.com","citations":[],"identifier":1655,"description":"BacMap is a picture atlas of annotated bacterial genomes. It is an interactive visual database containing hundreds of fully labeled, zoomable, and searchable maps of bacterial genomes.","abbreviation":"BacMap","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=bacmap","type":"Contact form"},{"url":"http://bacmap.wishartlab.com/help","type":"Help documentation"},{"url":"http://bacmap.wishartlab.com/about","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012724","name":"re3data:r3d100012724","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006988","name":"SciCrunch:RRID:SCR_006988","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000111","bsg-d000111"],"name":"FAIRsharing record for: BacMap","abbreviation":"BacMap","url":"https://fairsharing.org/10.25504/FAIRsharing.z6rbe3","doi":"10.25504/FAIRsharing.z6rbe3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BacMap is a picture atlas of annotated bacterial genomes. It is an interactive visual database containing hundreds of fully labeled, zoomable, and searchable maps of bacterial genomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Statistics","Life Science"],"domains":["Genome map","Protein structure","Taxonomic classification","Gene name","DNA sequence data","Free text","Function analysis","Image","Phenotype","Amino acid sequence","Prophage","Genome"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["Physical properties","RNA map"],"countries":["Canada"],"publications":[{"id":160,"pubmed_id":15608206,"title":"BacMap: an interactive picture atlas of annotated bacterial genomes.","year":2004,"url":"http://doi.org/10.1093/nar/gki075","authors":"Stothard P., Van Domselaar G., Shrivastava S., Guo A., O'Neill B., Cruz J., Ellison M., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki075","created_at":"2021-09-30T08:22:37.631Z","updated_at":"2021-09-30T08:22:37.631Z"},{"id":1343,"pubmed_id":22135301,"title":"BacMap: an up-to-date electronic atlas of annotated bacterial genomes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1105","authors":"Cruz J., Liu Y., Liang Y., Zhou Y., Wilson M., Dennis JJ., Stothard P., Van Domselaar G., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1105","created_at":"2021-09-30T08:24:50.279Z","updated_at":"2021-09-30T08:24:50.279Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":779,"relation":"undefined"}],"grants":[{"id":360,"fairsharing_record_id":1655,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:28.876Z","updated_at":"2021-09-30T09:24:28.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11613,"fairsharing_record_id":1655,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:39.661Z","updated_at":"2024-03-21T13:59:39.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":3309,"name":"Wishart Research Group, University of Alberta, Edmonton, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1656","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:39:00.161Z","metadata":{"doi":"10.25504/FAIRsharing.3vfc16","name":"Compilation and Creation of datasets from PDB","status":"ready","contacts":[{"contact_name":"Dr Gajendra P.S. Raghava","contact_email":"raghava@imtech.res.in"}],"homepage":"https://webs.iiitd.edu.in/raghava/ccpdb/index.html","citations":[],"identifier":1656,"description":"ccPDB (Compilation and Creation of datasets from PDB) is a collection of commonly used data sets for structural or functional annotation of proteins. Datasets from literature and the Protein Data Bank (PDB) were incorporated into ccPDB to facilitate the analysis and organisation of additional dataset collections by the researcher. ","abbreviation":"ccPDB","data_curation":{"url":"https://webs.iiitd.edu.in/raghava/ccpdb/index.html","type":"automated"},"support_links":[{"url":"http://crdd.osdd.net/raghava/ccpdb/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://crdd.osdd.net/raghava/ccpdb/blast.php","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000112","bsg-d000112"],"name":"FAIRsharing record for: Compilation and Creation of datasets from PDB","abbreviation":"ccPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3vfc16","doi":"10.25504/FAIRsharing.3vfc16","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ccPDB (Compilation and Creation of datasets from PDB) is a collection of commonly used data sets for structural or functional annotation of proteins. Datasets from literature and the Protein Data Bank (PDB) were incorporated into ccPDB to facilitate the analysis and organisation of additional dataset collections by the researcher. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12599}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Protein structure","Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1160,"pubmed_id":22139939,"title":"ccPDB: compilation and creation of data sets from Protein Data Bank.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1150","authors":"Singh H,Chauhan JS,Gromiha MM,Raghava GP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1150","created_at":"2021-09-30T08:24:28.989Z","updated_at":"2021-09-30T11:29:01.250Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":266,"relation":"undefined"}],"grants":[{"id":363,"fairsharing_record_id":1656,"organisation_id":2265,"relation":"funds","created_at":"2021-09-30T09:24:28.992Z","updated_at":"2021-09-30T09:24:28.992Z","grant_id":null,"is_lead":false,"saved_state":{"id":2265,"name":"Open Source Drug Discovery (OSDD) India","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":365,"fairsharing_record_id":1656,"organisation_id":686,"relation":"funds","created_at":"2021-09-30T09:24:29.071Z","updated_at":"2021-09-30T09:24:29.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":686,"name":"Department of Biotechnology, Ministry of Science and Technology, India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":362,"fairsharing_record_id":1656,"organisation_id":1425,"relation":"maintains","created_at":"2021-09-30T09:24:28.950Z","updated_at":"2021-09-30T09:24:28.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1425,"name":"Institute of Microbial Technology (IMTECH), Council of Scientific \u0026 Industrial Research (CSIR), Chandigarh, India","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":364,"fairsharing_record_id":1656,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:24:29.034Z","updated_at":"2021-09-30T09:24:29.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1657","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:28:47.969Z","metadata":{"doi":"10.25504/FAIRsharing.aqb4ne","name":"CUBE-DB","status":"deprecated","contacts":[{"contact_name":"Ivana Mihalek","contact_email":"ivanam@bii.a-star.edu.sg"}],"homepage":"http://epsf.bmad.bii.a-star.edu.sg/cube/db/html/home.html","identifier":1657,"description":"Detection of functional divergence in human protein families. Cube-DB is a database of pre-evaluated conservation and specialization scores for residues in paralogous proteins belonging to multi-member families of human proteins. Protein family classification follows (largely) the classification suggested by HUGO Gene Nomenclature Committee. Sets of orthologous protein sequences were generated by mutual-best-hit strategy using full vertebrate genomes available in Ensembl. The scores, described on documentation page, are assigned to each individual residue in a protein, and presented in the form of a table (html or downloadable xls formats) and mapped, when appropriate, onto the related structure (Jmol, Pymol, Chimera).","abbreviation":"CUBE-DB","data_curation":{"type":"not found"},"support_links":[{"url":"zhangzh@bii.a-star.edu.sg","type":"Support email"},{"url":"http://epsf.bmad.bii.a-star.edu.sg/cube/db/html/doc.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000113","bsg-d000113"],"name":"FAIRsharing record for: CUBE-DB","abbreviation":"CUBE-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.aqb4ne","doi":"10.25504/FAIRsharing.aqb4ne","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Detection of functional divergence in human protein families. Cube-DB is a database of pre-evaluated conservation and specialization scores for residues in paralogous proteins belonging to multi-member families of human proteins. Protein family classification follows (largely) the classification suggested by HUGO Gene Nomenclature Committee. Sets of orthologous protein sequences were generated by mutual-best-hit strategy using full vertebrate genomes available in Ensembl. The scores, described on documentation page, are assigned to each individual residue in a protein, and presented in the form of a table (html or downloadable xls formats) and mapped, when appropriate, onto the related structure (Jmol, Pymol, Chimera).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Multiple sequence alignment","Molecular function","Classification","Protein","Amino acid sequence","Orthologous","Paralogous"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["Singapore"],"publications":[{"id":156,"pubmed_id":21931701,"title":"Determinants, discriminants, conserved residues--a heuristic approach to detection of functional divergence in protein families.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0024382","authors":"Bharatham K., Zhang ZH., Mihalek I.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0024382","created_at":"2021-09-30T08:22:37.027Z","updated_at":"2021-09-30T08:22:37.027Z"},{"id":756,"pubmed_id":22139934,"title":"Cube-DB: detection of functional divergence in human protein families.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1129","authors":"Zhang ZH,Bharatham K,Chee SM,Mihalek I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1129","created_at":"2021-09-30T08:23:43.234Z","updated_at":"2021-09-30T11:28:50.025Z"}],"licence_links":[],"grants":[{"id":366,"fairsharing_record_id":1657,"organisation_id":973,"relation":"maintains","created_at":"2021-09-30T09:24:29.104Z","updated_at":"2021-09-30T09:24:29.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":973,"name":"Evolution of Protein Structure and Function Group, Biomolecular Modelling and Design Division, Bioinformatics Institute, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1649","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:20.002Z","metadata":{"doi":"10.25504/FAIRsharing.4dqw0","name":"The Arabidopsis Information Resource","status":"ready","contacts":[{"contact_email":"curator@arabidopsis.org"}],"homepage":"http://www.arabidopsis.org/","citations":[],"identifier":1649,"description":"The Arabidopsis Information Resource (TAIR) maintains a database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available from TAIR includes the complete genome sequence along with gene structure, gene product information, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every week from the latest published research literature and community data submissions.","abbreviation":"TAIR","data_curation":{"type":"manual"},"support_links":[{"url":"curator@arabidopsis.org","type":"Support email"},{"url":"http://www.arabidopsis.org/help/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.arabidopsis.org/help/index.jsp","type":"Help documentation"},{"url":"http://www.arabidopsis.org/help/tutorials/index.jsp","type":"Training documentation"},{"url":"https://www.youtube.com/user/TAIRinfo/featured","name":"TAIR You Tube Channel","type":"Video"},{"url":"https://en.wikipedia.org/wiki/The_Arabidopsis_Information_Resource","type":"Wikipedia"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"https://www.arabidopsis.org/servlets/tools/synteny","name":"Synteny viewer: compare syntenic regions between two or more genomes"},{"url":"https://www.arabidopsis.org/servlets/tools/sv","name":"SeqViewer: a genome browser developed at TAIR for viewing Arabidopsis sequence and annotation"},{"url":"https://www.arabidopsis.org/tools/nbrowse.jsp","name":"NBrowse: an interactive graphical browser for biological networks such as protein-protein interactions"},{"url":"https://www.arabidopsis.org/biocyc/index.jsp","name":"AraCyc Pathways: Arabidopsis biochemical pathways visualization and querying tool"},{"url":"http://www.arabidopsis.org/tools/index.jsp","name":"analyze"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010185","name":"re3data:r3d100010185","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004618","name":"SciCrunch:RRID:SCR_004618","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.arabidopsis.org/help/helppages/commreg.jsp","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000105","bsg-d000105"],"name":"FAIRsharing record for: The Arabidopsis Information Resource","abbreviation":"TAIR","url":"https://fairsharing.org/10.25504/FAIRsharing.4dqw0","doi":"10.25504/FAIRsharing.4dqw0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arabidopsis Information Resource (TAIR) maintains a database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available from TAIR includes the complete genome sequence along with gene structure, gene product information, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every week from the latest published research literature and community data submissions.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11615}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science","Metabolomics"],"domains":["Molecular structure","Genetic map","Physical map","Genome map","Expression data","DNA sequence data","Publication","Structure","Gene"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1096,"pubmed_id":17986450,"title":"The Arabidopsis Information Resource (TAIR): gene structure and function annotation.","year":2007,"url":"http://doi.org/10.1093/nar/gkm965","authors":"Swarbreck D., Wilks C., Lamesch P., Berardini TZ., Garcia-Hernandez M., Foerster H., Li D., Meyer T., Muller R., Ploetz L., Radenbaugh A., Singh S., Swing V., Tissier C., Zhang P., Huala E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm965","created_at":"2021-09-30T08:24:21.347Z","updated_at":"2021-09-30T08:24:21.347Z"},{"id":1098,"pubmed_id":20521243,"title":"Using the Arabidopsis information resource (TAIR) to find information about Arabidopsis genes.","year":2010,"url":"http://doi.org/10.1002/0471250953.bi0111s30","authors":"Lamesch P., Dreher K., Swarbreck D., Sasidharan R., Reiser L., Huala E.,","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0111s30","created_at":"2021-09-30T08:24:21.567Z","updated_at":"2021-09-30T08:24:21.567Z"},{"id":1106,"pubmed_id":22140109,"title":"The Arabidopsis Information Resource (TAIR): improved gene annotation and new tools.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1090","authors":"Lamesch P,Berardini TZ,Li D,Swarbreck D,Wilks C,Sasidharan R,Muller R,Dreher K,Alexander DL,Garcia-Hernandez M,Karthikeyan AS,Lee CH,Nelson WD,Ploetz L,Singh S,Wensel A,Huala E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1090","created_at":"2021-09-30T08:24:22.539Z","updated_at":"2021-09-30T11:28:58.818Z"},{"id":1724,"pubmed_id":26201819,"title":"The Arabidopsis information resource: Making and mining the \"gold standard\" annotated reference plant genome.","year":2015,"url":"http://doi.org/10.1002/dvg.22877","authors":"Berardini TZ,Reiser L,Li D,Mezheritsky Y,Muller R,Strait E,Huala E","journal":"Genesis","doi":"10.1002/dvg.22877","created_at":"2021-09-30T08:25:33.170Z","updated_at":"2021-09-30T08:25:33.170Z"},{"id":1864,"pubmed_id":29220077,"title":"Using the Arabidopsis Information Resource (TAIR) to Find Information About Arabidopsis Genes.","year":2017,"url":"http://doi.org/10.1002/cpbi.36","authors":"Reiser L,Subramaniam S,Li D,Huala E","journal":"Curr Protoc Bioinformatics","doi":"10.1002/cpbi.36","created_at":"2021-09-30T08:25:49.455Z","updated_at":"2021-09-30T08:25:49.455Z"},{"id":1865,"pubmed_id":26989150,"title":"Sustainable funding for biocuration: The Arabidopsis Information Resource (TAIR) as a case study of a subscription-based funding model.","year":2016,"url":"http://doi.org/10.1093/database/baw018","authors":"Reiser L,Berardini TZ,Li D,Muller R,Strait EM,Li Q,Mezheritsky Y,Vetushko A,Huala E","journal":"Database (Oxford)","doi":"10.1093/database/baw018","created_at":"2021-09-30T08:25:49.564Z","updated_at":"2021-09-30T08:25:49.564Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":2336,"relation":"undefined"},{"licence_name":"TAIR Software License","licence_id":769,"licence_url":"http://www.arabidopsis.org/doc/about/tair_licensing/416","link_id":2335,"relation":"undefined"},{"licence_name":"TAIR Terms of Use","licence_id":770,"licence_url":"http://www.arabidopsis.org/doc/about/tair_terms_of_use/417","link_id":2334,"relation":"undefined"}],"grants":[{"id":344,"fairsharing_record_id":1649,"organisation_id":2322,"relation":"maintains","created_at":"2021-09-30T09:24:28.043Z","updated_at":"2022-06-27T13:54:33.688Z","grant_id":null,"is_lead":true,"saved_state":{"id":2322,"name":"Phoenix Bioinformatics Corporation","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaHdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--13ae7a1a92132f0e16f9f5d14deb2dc4e245770d/tair_logo_highdef_originalcolors.png?disposition=inline","exhaustive_licences":false}},{"id":"1650","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T08:08:32.708Z","metadata":{"doi":"10.25504/FAIRsharing.qf46ys","name":"The Human OligoGenome Resource: A Database for Customized Targeted Resequencing Covering the Human Genome","status":"deprecated","contacts":[],"homepage":"http://oligogenome.stanford.edu/","citations":[],"identifier":1650,"description":"Oligonucleotides for targeted resequencing of the human genome","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000106","bsg-d000106"],"name":"FAIRsharing record for: The Human OligoGenome Resource: A Database for Customized Targeted Resequencing Covering the Human Genome","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qf46ys","doi":"10.25504/FAIRsharing.qf46ys","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Oligonucleotides for targeted resequencing of the human genome","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12596}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Oligonucleotide probe annotation","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":139,"pubmed_id":21738606,"title":"A flexible approach for highly multiplexed candidate gene targeted resequencing.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0021088","authors":"Natsoulis G., Bell JM., Xu H., Buenrostro JD., Ordonez H., Grimes S., Newburger D., Jensen M., Zahn JM., Zhang N., Ji HP.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0021088","created_at":"2021-09-30T08:22:35.205Z","updated_at":"2021-09-30T08:22:35.205Z"}],"licence_links":[],"grants":[{"id":346,"fairsharing_record_id":1650,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:24:28.193Z","updated_at":"2021-09-30T09:24:28.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":345,"fairsharing_record_id":1650,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:28.125Z","updated_at":"2021-09-30T09:24:28.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1658","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:40.315Z","metadata":{"doi":"10.25504/FAIRsharing.mw2ekr","name":"Death Domain Database","status":"deprecated","contacts":[{"contact_name":"Hyun Ho Park","contact_email":"hyunho@ynu.ac.kr"}],"homepage":"http://www.deathdomain.org","identifier":1658,"description":"Death Domain Database is a manually curated database of protein-protein interactions for Death Domain Superfamily.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.deathdomain.org/tutorial","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/Death_Domain_database","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000114","bsg-d000114"],"name":"FAIRsharing record for: Death Domain Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.mw2ekr","doi":"10.25504/FAIRsharing.mw2ekr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Death Domain Database is a manually curated database of protein-protein interactions for Death Domain Superfamily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Signaling","Molecular interaction","Curated information"],"taxonomies":["Canis familiaris","Danio rerio","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":158,"pubmed_id":22135292,"title":"A comprehensive manually curated protein-protein interaction database for the Death Domain superfamily.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1149","authors":"Kwon D., Yoon JH., Shin SY., Jang TH., Kim HG., So I., Jeon JH., Park HH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1149","created_at":"2021-09-30T08:22:37.424Z","updated_at":"2021-09-30T08:22:37.424Z"}],"licence_links":[],"grants":[{"id":367,"fairsharing_record_id":1658,"organisation_id":1923,"relation":"maintains","created_at":"2021-09-30T09:24:29.139Z","updated_at":"2021-09-30T09:24:29.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":1923,"name":"Myongji University, Seoul, South Korea","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":368,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:24:29.160Z","updated_at":"2021-09-30T09:29:08.711Z","grant_id":112,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0025697","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7884,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:29:24.574Z","updated_at":"2021-09-30T09:29:24.616Z","grant_id":236,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0022437","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7917,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:29:45.433Z","updated_at":"2021-09-30T09:29:45.485Z","grant_id":388,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0003406","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7960,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:30:05.110Z","updated_at":"2021-09-30T09:30:05.148Z","grant_id":544,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2008-05943","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1659","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:23.875Z","metadata":{"doi":"10.25504/FAIRsharing.ngme77","name":"Human disease methylation database","status":"ready","contacts":[],"homepage":"http://bio-bigdata.hrbmu.edu.cn/diseasemeth/","citations":[],"identifier":1659,"description":"The human disease methylation database, DiseaseMeth is a web based resource focused on the aberrant methylomes of human diseases. Until recently, bulks of large-scale data are avaible and are increasingly grown, from which more information can be mined to gain further information towards human diseases. Our mission is to provide a curated set of methylation information datasets and tools in the human genome, to support and promote research in this area. Especially, we provide a genome-scale landscape to show human methylaton information in a scalable and flexible manner.","abbreviation":"DiseaseMeth","data_curation":{"type":"manual"},"support_links":[{"url":"http://bio-bigdata.hrbmu.edu.cn/diseasemeth/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000115","bsg-d000115"],"name":"FAIRsharing record for: Human disease methylation database","abbreviation":"DiseaseMeth","url":"https://fairsharing.org/10.25504/FAIRsharing.ngme77","doi":"10.25504/FAIRsharing.ngme77","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The human disease methylation database, DiseaseMeth is a web based resource focused on the aberrant methylomes of human diseases. Until recently, bulks of large-scale data are avaible and are increasingly grown, from which more information can be mined to gain further information towards human diseases. Our mission is to provide a curated set of methylation information datasets and tools in the human genome, to support and promote research in this area. Especially, we provide a genome-scale landscape to show human methylaton information in a scalable and flexible manner.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Abstract","Methylation","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":163,"pubmed_id":22135302,"title":"DiseaseMeth: a human disease methylation database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1169","authors":"Lv J., Liu H., Su J., Wu X., Liu H., Li B., Xiao X., Wang F., Wu Q., Zhang Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1169","created_at":"2021-09-30T08:22:37.939Z","updated_at":"2021-09-30T08:22:37.939Z"}],"licence_links":[],"grants":[{"id":370,"fairsharing_record_id":1659,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:29.230Z","updated_at":"2021-09-30T09:32:11.146Z","grant_id":1507,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30971645","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8455,"fairsharing_record_id":1659,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:43.110Z","updated_at":"2021-09-30T09:32:43.166Z","grant_id":1747,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"61075023","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":372,"fairsharing_record_id":1659,"organisation_id":2631,"relation":"funds","created_at":"2021-09-30T09:24:29.296Z","updated_at":"2021-09-30T09:32:10.621Z","grant_id":1502,"is_lead":false,"saved_state":{"id":2631,"name":"State Key Laboratory of Urban Water Resource and Environment, China","grant":"2010TS05","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9421,"fairsharing_record_id":1659,"organisation_id":2053,"relation":"funds","created_at":"2022-04-11T12:07:37.235Z","updated_at":"2022-04-11T12:07:37.253Z","grant_id":20,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"C201012","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1660","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:42:47.317Z","metadata":{"doi":"10.25504/FAIRsharing.fyqk5z","name":"Gene3D","status":"deprecated","contacts":[{"contact_name":"Corin Yeats","contact_email":"yeats@biochem.ucl.ac.uk"}],"homepage":"http://gene3d.biochem.ucl.ac.uk","citations":[{"doi":"10.1093/nar/gkx1069","pubmed_id":29112716,"publication_id":1715}],"identifier":1660,"description":"Gene3D uses the information in CATH to predict the locations of structural domains on millions of protein sequences available in public databases. Sequence data from UniProtKB and Ensembl for domains with no experimentally determined structures are scanned against CATH HMMs to predict domain sequence boundaries and make homologous superfamily assignments.","abbreviation":"Gene3D","data_curation":{"type":"not found"},"support_links":[{"url":"Gene3D.Contact@gmail.com","name":"General Contact","type":"Support email"},{"url":"http://gene3d.biochem.ucl.ac.uk/examples","name":"Example Searches","type":"Help documentation"},{"url":"http://gene3d.biochem.ucl.ac.uk/about","name":"About Gene3D","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/cath-gene3d","name":"Cath gene3d","type":"TeSS links to training materials"}],"year_creation":2003,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000116","bsg-d000116"],"name":"FAIRsharing record for: Gene3D","abbreviation":"Gene3D","url":"https://fairsharing.org/10.25504/FAIRsharing.fyqk5z","doi":"10.25504/FAIRsharing.fyqk5z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene3D uses the information in CATH to predict the locations of structural domains on millions of protein sequences available in public databases. Sequence data from UniProtKB and Ensembl for domains with no experimentally determined structures are scanned against CATH HMMs to predict domain sequence boundaries and make homologous superfamily assignments.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11519},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12600}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Hidden Markov model","Protein structure","Protein domain","Annotation","Protein interaction","Gene","Amino acid sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":357,"pubmed_id":19906693,"title":"Gene3D: merging structure and function for a Thousand genomes.","year":2009,"url":"http://doi.org/10.1093/nar/gkp987","authors":"Lees J., Yeats C., Redfern O., Clegg A., Orengo C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp987","created_at":"2021-09-30T08:22:58.380Z","updated_at":"2021-09-30T08:22:58.380Z"},{"id":1715,"pubmed_id":29112716,"title":"Gene3D: Extensive prediction of globular domains in proteins.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1069","authors":"Lewis TE,Sillitoe I,Dawson N,Lam SD,Clarke T,Lee D,Orengo C,Lees J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1069","created_at":"2021-09-30T08:25:32.152Z","updated_at":"2021-09-30T11:29:19.010Z"},{"id":2340,"pubmed_id":21646335,"title":"The Gene3D Web Services: a platform for identifying, annotating and comparing structural domains in protein sequences.","year":2011,"url":"http://doi.org/10.1093/nar/gkr438","authors":"Yeats C., Lees J., Carter P., Sillitoe I., Orengo C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr438","created_at":"2021-09-30T08:26:47.426Z","updated_at":"2021-09-30T08:26:47.426Z"},{"id":2342,"pubmed_id":26139634,"title":"Functional classification of CATH superfamilies: a domain-based approach for protein function annotation.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv398","authors":"Das S,Lee D,Sillitoe I,Dawson NL,Lees JG,Orengo CA","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv398","created_at":"2021-09-30T08:26:47.739Z","updated_at":"2021-09-30T08:26:47.739Z"}],"licence_links":[],"grants":[{"id":373,"fairsharing_record_id":1660,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:29.319Z","updated_at":"2021-09-30T09:24:29.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":377,"fairsharing_record_id":1660,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:29.442Z","updated_at":"2021-09-30T09:31:08.150Z","grant_id":1033,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200700058C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8183,"fairsharing_record_id":1660,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:22.781Z","updated_at":"2021-09-30T09:31:22.835Z","grant_id":1143,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"LSHG-CT-2004-512092","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8347,"fairsharing_record_id":1660,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:13.352Z","updated_at":"2021-09-30T09:32:13.426Z","grant_id":1523,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"LSHG-CT-2003-503265","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":374,"fairsharing_record_id":1660,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:24:29.345Z","updated_at":"2021-09-30T09:24:29.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":376,"fairsharing_record_id":1660,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:29.409Z","updated_at":"2021-09-30T09:29:52.110Z","grant_id":442,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"081989/Z/07/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":375,"fairsharing_record_id":1660,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:29.372Z","updated_at":"2021-09-30T09:31:20.043Z","grant_id":1123,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"LSHG-CT-2005-518254","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8346,"fairsharing_record_id":1660,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:13.208Z","updated_at":"2021-09-30T09:32:13.264Z","grant_id":1522,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"DE-AC02-065CH11357","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1683","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:39.561Z","metadata":{"doi":"10.25504/FAIRsharing.8jsya3","name":"PomBase","status":"ready","contacts":[{"contact_name":"PomBase Helpdesk","contact_email":"helpdesk@pombase.org"}],"homepage":"http://www.pombase.org","citations":[],"identifier":1683,"description":"PomBase is a model organism database that provides organization of and access to scientific data for the fission yeast Schizosaccharomyces pombe. PomBase supports genomic sequence and features, genome-wide datasets and manual literature curation as well as providing structural and functional annotation and access to large-scale data sets.","abbreviation":"PomBase","data_curation":{"url":"https://www.pombase.org/submit-data","type":"manual"},"support_links":[{"url":"http://www.pombase.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://listserver.ebi.ac.uk/mailman/listinfo/pombelist","name":"Pombelist mailing list","type":"Mailing list"},{"url":"http://www.pombase.org/documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/PomBase","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://www.pombase.org/identifier-mapper","name":"Identifier mapping tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011478","name":"re3data:r3d100011478","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006586","name":"SciCrunch:RRID:SCR_006586","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.pombase.org/submit-data","type":"controlled","notes":"PomBase Data Submission"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000139","bsg-d000139"],"name":"FAIRsharing record for: PomBase","abbreviation":"PomBase","url":"https://fairsharing.org/10.25504/FAIRsharing.8jsya3","doi":"10.25504/FAIRsharing.8jsya3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PomBase is a model organism database that provides organization of and access to scientific data for the fission yeast Schizosaccharomyces pombe. PomBase supports genomic sequence and features, genome-wide datasets and manual literature curation as well as providing structural and functional annotation and access to large-scale data sets.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16192}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Citation","Protein domain","Gene name","Expression data","DNA sequence data","Gene Ontology enrichment","Model organism","Centromere","Protein modification","Cellular localization","Curated information","Phenotype","Orthologous","Literature curation"],"taxonomies":["Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":192,"pubmed_id":22039153,"title":"PomBase: a comprehensive online resource for fission yeast.","year":2011,"url":"http://doi.org/10.1093/nar/gkr853","authors":"Wood V., Harris MA., McDowall MD., Rutherford K., Vaughan BW., Staines DM., Aslett M., Lock A., Bähler J., Kersey PJ., Oliver SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr853","created_at":"2021-09-30T08:22:41.023Z","updated_at":"2021-09-30T08:22:41.023Z"},{"id":1034,"pubmed_id":22102568,"title":"The Gene Ontology: enhancements for 2011.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1028","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1028","created_at":"2021-09-30T08:24:14.488Z","updated_at":"2021-09-30T11:28:57.193Z"},{"id":1134,"pubmed_id":23658422,"title":"FYPO: the fission yeast phenotype ontology.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt266","authors":"Harris MA,Lock A,Bahler J,Oliver SG,Wood V","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt266","created_at":"2021-09-30T08:24:25.823Z","updated_at":"2021-09-30T08:24:25.823Z"},{"id":2055,"pubmed_id":25361970,"title":"PomBase 2015: updates to the fission yeast database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1040","authors":"McDowall MD,Harris MA,Lock A,Rutherford K,Staines DM,Bahler J,Kersey PJ,Oliver SG,Wood V","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1040","created_at":"2021-09-30T08:26:11.564Z","updated_at":"2021-09-30T11:29:27.613Z"},{"id":2056,"pubmed_id":24574118,"title":"Canto: an online tool for community literature curation.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu103","authors":"Rutherford KM,Harris MA,Lock A,Oliver SG,Wood V","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu103","created_at":"2021-09-30T08:26:11.715Z","updated_at":"2021-09-30T08:26:11.715Z"},{"id":2057,"pubmed_id":24885854,"title":"A method for increasing expressivity of Gene Ontology annotations using a compositional approach.","year":2014,"url":"http://doi.org/10.1186/1471-2105-15-155","authors":"Huntley RP,Harris MA,Alam-Faruque Y,Blake JA,Carbon S,Dietze H,Dimmer EC,Foulger RE,Hill DP,Khodiyar VK,Lock A,Lomax J,Lovering RC,Mutowo-Meullenet P,Sawford T,Van Auken K,Wood V,Mungall CJ","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-15-155","created_at":"2021-09-30T08:26:11.815Z","updated_at":"2021-09-30T08:26:11.815Z"},{"id":2167,"pubmed_id":23161678,"title":"Gene Ontology annotations and resources.","year":2012,"url":"http://doi.org/10.1093/nar/gks1050","authors":"Blake JA,Dolan M,Drabkin H,Hill DP,Li N,Sitnikov D,Bridges S,Burgess S,Buza T,McCarthy F,Peddinti D,Pillai L,Carbon S,Dietze H,Ireland A,Lewis SE,Mungall CJ,Gaudet P,Chrisholm RL,Fey P,Kibbe WA,Basu S,Siegele DA,McIntosh BK,Renfro DP,Zweifel AE,Hu JC,Brown NH,Tweedie S,Alam-Faruque Y,Apweiler R,Auchinchloss A,Axelsen K,Bely B,Blatter M-,Bonilla C,Bouguerleret L,Boutet E,Breuza L,Bridge A,Chan WM,Chavali G,Coudert E,Dimmer E,Estreicher A,Famiglietti L,Feuermann M,Gos A,Gruaz-Gumowski N,Hieta R,Hinz C,Hulo C,Huntley R,James J,Jungo F,Keller G,Laiho K,Legge D,Lemercier P,Lieberherr D,Magrane M,Martin MJ,Masson P,Mutowo-Muellenet P,O'Donovan C,Pedruzzi I,Pichler K,Poggioli D,Porras Millan P,Poux S,Rivoire C,Roechert B,Sawford T,Schneider M,Stutz A,Sundaram S,Tognolli M,Xenarios I,Foulgar R,Lomax J,Roncaglia P,Khodiyar VK,Lovering RC,Talmud PJ,Chibucos M,Giglio MG,Chang H-,Hunter S,McAnulla C,Mitchell A,Sangrador A,Stephan R,Harris MA,Oliver SG,Rutherford K,Wood V,Bahler J,Lock A,Kersey PJ,McDowall DM,Staines DM,Dwinell M,Shimoyama M,Laulederkind S,Hayman T,Wang S-,Petri V,Lowry T,D'Eustachio P,Matthews L,Balakrishnan R,Binkley G,Cherry JM,Costanzo MC,Dwight SS,Engel SR,Fisk DG,Hitz BC,Hong EL,Karra K,Miyasato SR,Nash RS,Park J,Skrzypek MS,Weng S,Wong ED,Berardini TZ,Huala E,Mi H,Thomas PD,Chan J,Kishore R,Sternberg P,Van Auken K,Howe D,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1050","created_at":"2021-09-30T08:26:24.239Z","updated_at":"2021-09-30T11:29:30.513Z"},{"id":2214,"pubmed_id":27334346,"title":"Model organism databases: essential resources that need the support of both funders and users.","year":2016,"url":"http://doi.org/10.1186/s12915-016-0276-z","authors":"Oliver SG,Lock A,Harris MA,Nurse P,Wood V","journal":"BMC Biol","doi":"10.1186/s12915-016-0276-z","created_at":"2021-09-30T08:26:29.542Z","updated_at":"2021-09-30T08:26:29.542Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":204,"relation":"undefined"}],"grants":[{"id":453,"fairsharing_record_id":1683,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:24:32.208Z","updated_at":"2021-09-30T09:24:32.208Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":450,"fairsharing_record_id":1683,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:32.085Z","updated_at":"2021-09-30T09:32:42.661Z","grant_id":1743,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT090548MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":452,"fairsharing_record_id":1683,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:24:32.169Z","updated_at":"2021-09-30T09:24:32.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9241,"fairsharing_record_id":1683,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.751Z","updated_at":"2022-04-11T12:07:24.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1684","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:22.634Z","metadata":{"doi":"10.25504/FAIRsharing.znvzhj","name":"Predictive Networks","status":"deprecated","contacts":[{"contact_name":"John Quackenbush","contact_email":"johng@jimmy.harvard.edu"}],"homepage":"http://predictivenetworks.org/","identifier":1684,"description":"Integration, navigation, visualization, and analysis of gene interaction networks. This record has been marked as \"Uncertain\" because its homepage no longer exists. If you have any information on the current status of this resource, please contact us via the \"Ask Question\" button at the top of this page, or contact us through any of the methods described in the footer.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"predictivenetworks@jimmy.harvard.edu","type":"Support email"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000140","bsg-d000140"],"name":"FAIRsharing record for: Predictive Networks","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.znvzhj","doi":"10.25504/FAIRsharing.znvzhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integration, navigation, visualization, and analysis of gene interaction networks. This record has been marked as \"Uncertain\" because its homepage no longer exists. If you have any information on the current status of this resource, please contact us via the \"Ask Question\" button at the top of this page, or contact us through any of the methods described in the footer.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic interaction","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":189,"pubmed_id":22096235,"title":"Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1050","authors":"Haibe-Kains B., Olsen C., Djebbari A., Bontempi G., Correll M., Bouton C., Quackenbush J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1050","created_at":"2021-09-30T08:22:40.715Z","updated_at":"2021-09-30T08:22:40.715Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":244,"relation":"undefined"}],"grants":[{"id":454,"fairsharing_record_id":1684,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:32.245Z","updated_at":"2021-09-30T09:24:32.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":455,"fairsharing_record_id":1684,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:24:32.287Z","updated_at":"2021-09-30T09:24:32.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1685","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:48.459Z","metadata":{"doi":"10.25504/FAIRsharing.8bwhme","name":"PCR Primer Database for Gene Expression Detection and Quantification","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"bioinformatics@ccib.mgh.harvard.edu"}],"homepage":"http://pga.mgh.harvard.edu/primerbank/","citations":[],"identifier":1685,"description":"PrimerBank is a public resource for PCR primers. These primers are designed for gene expression detection or quantification (real-time PCR). PrimerBank contains over 306,800 primers covering most known human and mouse genes. There are several ways to search for primers: GenBank Accession, NCBI protein accession, NCBI Gene ID, Gene Symbol, PrimerBank ID or Keyword (gene description) or you can blast your gene sequence against the primerbank Sequence DB.","abbreviation":"PrimerBank","data_curation":{"url":"https://pga.mgh.harvard.edu/primerbank/help.html#How%20about%20the%20quality%20of%20these%20primers?","type":"manual/automated","notes":"The primer design algorithm has been extensively tested by real-time PCR experiments for PCR specificity and efficiency"},"support_links":[{"url":"https://pga.mgh.harvard.edu/primerbank/comments.html","type":"Contact form"},{"url":"https://pga.mgh.harvard.edu/primerbank/help.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"url":"https://pga.mgh.harvard.edu/primerbank/help.html","type":"open","notes":"PrimerBank is a public resource for PCR primers."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000141","bsg-d000141"],"name":"FAIRsharing record for: PCR Primer Database for Gene Expression Detection and Quantification","abbreviation":"PrimerBank","url":"https://fairsharing.org/10.25504/FAIRsharing.8bwhme","doi":"10.25504/FAIRsharing.8bwhme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PrimerBank is a public resource for PCR primers. These primers are designed for gene expression detection or quantification (real-time PCR). PrimerBank contains over 306,800 primers covering most known human and mouse genes. There are several ways to search for primers: GenBank Accession, NCBI protein accession, NCBI Gene ID, Gene Symbol, PrimerBank ID or Keyword (gene description) or you can blast your gene sequence against the primerbank Sequence DB.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Polymerase chain reaction primers","DNA sequence data","Real time polymerase chain reaction","Centrally registered identifier"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1899,"pubmed_id":14654707,"title":"A PCR primer bank for quantitative gene expression analysis.","year":2003,"url":"http://doi.org/10.1093/nar/gng154","authors":"Wang X., Seed B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gng154","created_at":"2021-09-30T08:25:53.588Z","updated_at":"2021-09-30T08:25:53.588Z"},{"id":1921,"pubmed_id":22086960,"title":"PrimerBank: a PCR primer database for quantitative gene expression analysis, 2012 update.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1013","authors":"Wang X., Spandidos A., Wang H., Seed B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1013","created_at":"2021-09-30T08:25:56.197Z","updated_at":"2021-09-30T08:25:56.197Z"},{"id":1922,"pubmed_id":19906719,"title":"PrimerBank: a resource of human and mouse PCR primer pairs for gene expression detection and quantification.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1005","authors":"Spandidos A., Wang X., Wang H., Seed B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1005","created_at":"2021-09-30T08:25:56.306Z","updated_at":"2021-09-30T08:25:56.306Z"}],"licence_links":[],"grants":[{"id":457,"fairsharing_record_id":1685,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:24:32.370Z","updated_at":"2021-09-30T09:24:32.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":456,"fairsharing_record_id":1685,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:32.327Z","updated_at":"2021-09-30T09:24:32.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":458,"fairsharing_record_id":1685,"organisation_id":412,"relation":"maintains","created_at":"2021-09-30T09:24:32.408Z","updated_at":"2021-09-30T09:24:32.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":412,"name":"Center for Computational and Integrative Biology, Boston, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1686","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:09.225Z","metadata":{"doi":"10.25504/FAIRsharing.p6hdm8","name":"Prokaryotic Operon DataBase","status":"deprecated","contacts":[{"contact_name":"Enrique Merino","contact_email":"merino@ibt.unam.mx"}],"homepage":"http://operons.ibt.unam.mx/OperonPredictor","identifier":1686,"description":"The Prokaryotic Operon DataBase (ProOpDB) constitutes one of the most precise and complete repository of operon predictions in our days. Using our novel and highly accurate operon algorithm, we have predicted the operon structures of more than 1,200 prokaryotic genomes.","abbreviation":"ProOpDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://operons.ibt.unam.mx/OperonPredictor/","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000142","bsg-d000142"],"name":"FAIRsharing record for: Prokaryotic Operon DataBase","abbreviation":"ProOpDB","url":"https://fairsharing.org/10.25504/FAIRsharing.p6hdm8","doi":"10.25504/FAIRsharing.p6hdm8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Prokaryotic Operon DataBase (ProOpDB) constitutes one of the most precise and complete repository of operon predictions in our days. Using our novel and highly accurate operon algorithm, we have predicted the operon structures of more than 1,200 prokaryotic genomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Metabolomics"],"domains":["Sequence cluster","Protein domain","DNA sequence data","Image","Orthologous"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["Mexico"],"publications":[{"id":188,"pubmed_id":20385580,"title":"High accuracy operon prediction method based on STRING database scores.","year":2010,"url":"http://doi.org/10.1093/nar/gkq254","authors":"Taboada B., Verde C., Merino E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq254","created_at":"2021-09-30T08:22:40.614Z","updated_at":"2021-09-30T08:22:40.614Z"},{"id":1580,"pubmed_id":22096236,"title":"ProOpDB: Prokaryotic Operon DataBase.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1020","authors":"Taboada B,Ciria R,Martinez-Guerrero CE,Merino E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1020","created_at":"2021-09-30T08:25:17.133Z","updated_at":"2021-09-30T11:29:14.611Z"}],"licence_links":[],"grants":[{"id":460,"fairsharing_record_id":1686,"organisation_id":1446,"relation":"undefined","created_at":"2021-09-30T09:24:32.487Z","updated_at":"2021-09-30T09:24:32.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":1446,"name":"Instituto de Biotecnologia, Cuernavaca, Morelos, Mexico","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":461,"fairsharing_record_id":1686,"organisation_id":599,"relation":"funds","created_at":"2021-09-30T09:24:32.579Z","updated_at":"2021-09-30T09:31:03.591Z","grant_id":997,"is_lead":false,"saved_state":{"id":599,"name":"Consejo Nacional de Ciencia y Tecnologia (CONACyT), Mexico City, Mexico","grant":"154817","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1687","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-06T10:12:40.245Z","metadata":{"doi":"10.25504/FAIRsharing.spxmc4","name":"ProPortal","status":"deprecated","contacts":[{"contact_name":"Sallie W. Chisholm","contact_email":"chisholm@mit.edu"}],"homepage":"http://proportal.mit.edu/","citations":[],"identifier":1687,"description":"ProPortal is a database containing genomic, metagenomic, transcriptomic and field data for the marine cyanobacterium Prochlorococcus. They provide a source of cross-referenced data across multiple scales of biological organization—from the genome to the ecosystem—embracing the full diversity of ecotypic variation within this microbial taxon, its sister group, Synechococcus and phages that infect them.","abbreviation":"ProPortal","data_curation":{},"support_links":[{"url":"proportal@mit.edu","type":"Support email"},{"url":"http://proportal.mit.edu/project/prochlorococcus/","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2023-11-03","deprecation_reason":"This resource is no longer available at the stated homepage, and no new homepage can be found. Please get in touch with us if you have information regarding this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000143","bsg-d000143"],"name":"FAIRsharing record for: ProPortal","abbreviation":"ProPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.spxmc4","doi":"10.25504/FAIRsharing.spxmc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProPortal is a database containing genomic, metagenomic, transcriptomic and field data for the marine cyanobacterium Prochlorococcus. They provide a source of cross-referenced data across multiple scales of biological organization—from the genome to the ecosystem—embracing the full diversity of ecotypic variation within this microbial taxon, its sister group, Synechococcus and phages that infect them.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12608}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Population Dynamics","Genomics","Transcriptomics"],"domains":["Citation","Sequence cluster","Genome map","Expression data","DNA sequence data","Annotation","Gene model annotation","Marine metagenome","Metagenome","Orthologous"],"taxonomies":["Cyanophage","Prochlorococcus marinus","Synechococcus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1923,"pubmed_id":22102570,"title":"ProPortal: a resource for integrated systems biology of Prochlorococcus and its phage.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1022","authors":"Kelly L., Huang KH., Ding H., Chisholm SW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1022","created_at":"2021-09-30T08:25:56.415Z","updated_at":"2021-09-30T08:25:56.415Z"}],"licence_links":[],"grants":[{"id":463,"fairsharing_record_id":1687,"organisation_id":429,"relation":"funds","created_at":"2021-09-30T09:24:32.653Z","updated_at":"2021-09-30T09:30:35.551Z","grant_id":779,"is_lead":false,"saved_state":{"id":429,"name":"Center for Microbial Oceanography: Research and Education (C-MORE), Honolulu, HI, USA","grant":"EF0424599","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8414,"fairsharing_record_id":1687,"organisation_id":429,"relation":"funds","created_at":"2021-09-30T09:32:32.251Z","updated_at":"2021-09-30T09:32:32.296Z","grant_id":1665,"is_lead":false,"saved_state":{"id":429,"name":"Center for Microbial Oceanography: Research and Education (C-MORE), Honolulu, HI, USA","grant":"OCE-0425602","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8435,"fairsharing_record_id":1687,"organisation_id":2942,"relation":"funds","created_at":"2021-09-30T09:32:38.485Z","updated_at":"2021-09-30T09:32:38.538Z","grant_id":1713,"is_lead":false,"saved_state":{"id":2942,"name":"United States Department of Energy-GTL","grant":"DE-FG02-08ER64516","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":464,"fairsharing_record_id":1687,"organisation_id":2942,"relation":"funds","created_at":"2021-09-30T09:24:32.692Z","updated_at":"2021-09-30T09:29:57.336Z","grant_id":485,"is_lead":false,"saved_state":{"id":2942,"name":"United States Department of Energy-GTL","grant":"DE-FG02-07ER64506","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":462,"fairsharing_record_id":1687,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:24:32.616Z","updated_at":"2021-09-30T09:31:15.367Z","grant_id":1089,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","grant":"#495.01","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7948,"fairsharing_record_id":1687,"organisation_id":2942,"relation":"funds","created_at":"2021-09-30T09:30:01.300Z","updated_at":"2021-09-30T09:30:01.337Z","grant_id":517,"is_lead":false,"saved_state":{"id":2942,"name":"United States Department of Energy-GTL","grant":"DE-FG02-02ER63445","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1693","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:54:13.707Z","metadata":{"doi":"10.25504/FAIRsharing.rkpmhn","name":"Termini-Oriented Protein Function INferred Database","status":"ready","contacts":[{"contact_name":"Philipp Lange","contact_email":"philipp.lange@ubc.ca"}],"homepage":"https://topfind.clip.msl.ubc.ca/","citations":[],"identifier":1693,"description":"The Termini-Oriented Protein Function INferred Database (TopFIND) is an integrated knowledgebase focused on protein termini, their formation by proteases and functional implications. It contains information about the processing and the processing state of proteins and functional implications thereof derived from research literature, contributions by the scientific community and biological databases.","abbreviation":"TopFIND","data_curation":{"url":"https://topfind.clip.msl.ubc.ca/documentations/about","type":"manual"},"support_links":[{"url":"topfind.clip@gmail.com","name":"General Contact","type":"Support email"},{"url":"http://clipserve.clip.ubc.ca/topfind/documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/TopFIND","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012721","name":"re3data:r3d100012721","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008918","name":"SciCrunch:RRID:SCR_008918","portal":"SciCrunch"}],"data_access_condition":{"url":"https://topfind.clip.msl.ubc.ca/documentations/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://topfind.clip.msl.ubc.ca/contribute/index","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000149","bsg-d000149"],"name":"FAIRsharing record for: Termini-Oriented Protein Function INferred Database","abbreviation":"TopFIND","url":"https://fairsharing.org/10.25504/FAIRsharing.rkpmhn","doi":"10.25504/FAIRsharing.rkpmhn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Termini-Oriented Protein Function INferred Database (TopFIND) is an integrated knowledgebase focused on protein termini, their formation by proteases and functional implications. It contains information about the processing and the processing state of proteins and functional implications thereof derived from research literature, contributions by the scientific community and biological databases.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12610}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Proteolytic digest","Protein domain","Evidence","Annotation","Sequence annotation","Network model","C-terminal amino acid residue","N-terminal amino acid residue","Alternative splicing","Translation initiation","Protein C-terminus binding","Protein modification","Protein N-terminus binding","Molecular interaction","Protocol","Protease cleavage","Amino acid sequence","Protease site"],"taxonomies":["Arabidopsis thaliana","Escherichia coli","Homo sapiens","Mus musculus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":616,"pubmed_id":25332401,"title":"Proteome TopFIND 3.0 with TopFINDer and PathFINDer: database and analysis tools for the association of protein termini to pre- and post-translational events.","year":2014,"url":"http://doi.org/10.1093/nar/gku1012","authors":"Fortelny N,Yang S,Pavlidis P,Lange PF,Overall CM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1012","created_at":"2021-09-30T08:23:27.766Z","updated_at":"2021-09-30T11:28:48.217Z"},{"id":1287,"pubmed_id":21822272,"title":"TopFIND, a knowledgebase linking protein termini with function.","year":2011,"url":"http://doi.org/10.1038/nmeth.1669","authors":"Lange PF., Overall CM.,","journal":"Nature Methods","doi":"10.1038/nmeth.1669","created_at":"2021-09-30T08:24:43.650Z","updated_at":"2021-09-30T08:24:43.650Z"},{"id":1304,"pubmed_id":22102574,"title":"TopFIND 2.0—linking protein termini with proteolytic processing and modifications altering protein function","year":2011,"url":"http://doi.org/10.1093/nar/gkr1025","authors":"Philipp F Lange, Pitter F Huesgen, Christopher M Overall","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1025","created_at":"2021-09-30T08:24:45.601Z","updated_at":"2021-09-30T08:24:45.601Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":2065,"relation":"undefined"},{"licence_name":"TopFIND Data Policies and Disclaimer","licence_id":789,"licence_url":"https://topfind.clip.msl.ubc.ca/documentations/license","link_id":2064,"relation":"undefined"}],"grants":[{"id":475,"fairsharing_record_id":1693,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:33.100Z","updated_at":"2021-09-30T09:24:33.100Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1694","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:28.659Z","metadata":{"doi":"10.25504/FAIRsharing.fwzf0w","name":"Therapeutic Target Database","status":"ready","contacts":[{"contact_name":"Ying Zhou ","contact_email":"zhou_ying@zju.edu.cn","contact_orcid":null},{"contact_name":"Yintao Zhang","contact_email":"zhangyintao@zju.edu.cn","contact_orcid":null}],"homepage":"http://db.idrblab.net/ttd/","citations":[],"identifier":1694,"description":"The Therapeutic Target Database provides information about therapeutic protein and nucleic acid targets, the targeted disease, pathway information and the corresponding drugs directed at each of these targets. Also included in this database are links to relevant databases containing information about target function, sequence, 3D structure, ligand binding properties, enzyme nomenclature and drug structure, therapeutic class, clinical development status. All information is fully referenced.","abbreviation":"TTD","data_curation":{"type":"automated"},"support_links":[{"url":"http://db.idrblab.net/ttd/schema","name":"Database Schema","type":"Help documentation"},{"url":"http://db.idrblab.net/ttd/ontology","name":"Adopted Ontology","type":"Help documentation"},{"url":"http://db.idrblab.net/ttd/searchengine","name":"Search Engine","type":"Help documentation"},{"url":"http://db.idrblab.net/ttd/statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000150","bsg-d000150"],"name":"FAIRsharing record for: Therapeutic Target Database","abbreviation":"TTD","url":"https://fairsharing.org/10.25504/FAIRsharing.fwzf0w","doi":"10.25504/FAIRsharing.fwzf0w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Therapeutic Target Database provides information about therapeutic protein and nucleic acid targets, the targeted disease, pathway information and the corresponding drugs directed at each of these targets. Also included in this database are links to relevant databases containing information about target function, sequence, 3D structure, ligand binding properties, enzyme nomenclature and drug structure, therapeutic class, clinical development status. All information is fully referenced.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12611}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Citation","Enzyme Commission number","Protein structure","Annotation","Drug","Drug combination effect modeling","Drug metabolic process","Ligand binding domain binding","Natural product","Disease","Quantitative structure-activity relationship","Amino acid sequence","Target"],"taxonomies":["All"],"user_defined_tags":["COVID-19","Multi-target agents data","Validation"],"countries":["China","Singapore"],"publications":[{"id":210,"pubmed_id":19933260,"title":"Update of TTD: Therapeutic Target Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1014","authors":"Zhu F., Han B., Kumar P., Liu X., Ma X., Wei X., Huang L., Guo Y., Han L., Zheng C., Chen Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1014","created_at":"2021-09-30T08:22:42.840Z","updated_at":"2021-09-30T08:22:42.840Z"},{"id":211,"pubmed_id":11752352,"title":"TTD: Therapeutic Target Database.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.412","authors":"Chen X., Ji ZL., Chen YZ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.412","created_at":"2021-09-30T08:22:42.940Z","updated_at":"2021-09-30T08:22:42.940Z"},{"id":1348,"pubmed_id":24265219,"title":"Therapeutic target database update 2014: a resource for targeted therapeutics.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1129","authors":"Qin C,Zhang C,Zhu F,Xu F,Chen SY,Zhang P,Li YH,Yang SY,Wei YQ,Tao L,Chen YZ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1129","created_at":"2021-09-30T08:24:50.857Z","updated_at":"2021-09-30T11:29:06.234Z"},{"id":1349,"pubmed_id":26578601,"title":"Therapeutic target database update 2016: enriched resource for bench to clinical drug target and targeted pathway information.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1230","authors":"Yang H,Qin C,Li YH,Tao L,Zhou J,Yu CY,Xu F,Chen Z,Zhu F,Chen YZ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1230","created_at":"2021-09-30T08:24:50.957Z","updated_at":"2021-09-30T11:29:06.334Z"},{"id":3207,"pubmed_id":34718717,"title":"Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents.","year":2022,"url":"https://doi.org/10.1093/nar/gkab953","authors":"Zhou Y, Zhang Y, Lian X, Li F, Wang C, Zhu F, Qiu Y, Chen Y","journal":"Nucleic acids research","doi":"10.1093/nar/gkab953","created_at":"2022-02-01T15:54:32.946Z","updated_at":"2022-02-01T15:54:32.946Z"}],"licence_links":[],"grants":[{"id":478,"fairsharing_record_id":1694,"organisation_id":2085,"relation":"maintains","created_at":"2021-09-30T09:24:33.181Z","updated_at":"2021-09-30T09:24:33.181Z","grant_id":null,"is_lead":true,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":477,"fairsharing_record_id":1694,"organisation_id":2571,"relation":"funds","created_at":"2021-09-30T09:24:33.156Z","updated_at":"2021-09-30T09:31:29.958Z","grant_id":1198,"is_lead":false,"saved_state":{"id":2571,"name":"Singapore Academic Research Fund","grant":"R-148-000-208-112","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":476,"fairsharing_record_id":1694,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:33.132Z","updated_at":"2021-09-30T09:32:21.704Z","grant_id":1585,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81202459","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBGdz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e61a4215e734df6889073172e0f8702290c0d746/ttd_banner2022.png?disposition=inline","exhaustive_licences":false}},{"id":"1695","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:16.063Z","metadata":{"doi":"10.25504/FAIRsharing.12yd2z","name":"The UCSC Archaeal Genome Browser","status":"ready","contacts":[{"contact_name":"Todd M. Lowe","contact_email":"lowe@soe.ucsc.edu"}],"homepage":"http://archaea.ucsc.edu","citations":[],"identifier":1695,"description":"The UCSC Archaeal Genome Browser is a window on the biology of more than 100 microbial species from the domain Archaea. Basic gene annotation is derived from NCBI Genbank/RefSeq entries, with overlays of sequence conservation across multiple species, nucleotide and protein motifs, non-coding RNA predictions, operon predictions, and other types of bioinformatic analyses. In addition, we display available gene expression data (microarray or high-throughput RNA sequencing). Direct contributions or notices of publication of functional genomic data or bioinformatic analyses from archaeal research labs are very welcome.","abbreviation":null,"data_curation":{"type":"automated"},"support_links":[{"url":"http://archaea.ucsc.edu/FAQ/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://archaea.ucsc.edu/goldenPath/help/hgTracksHelp.html","type":"Help documentation"},{"url":"http://archaea.ucsc.edu/feed/","type":"Blog/News"}],"year_creation":2005,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000151","bsg-d000151"],"name":"FAIRsharing record for: The UCSC Archaeal Genome Browser","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.12yd2z","doi":"10.25504/FAIRsharing.12yd2z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UCSC Archaeal Genome Browser is a window on the biology of more than 100 microbial species from the domain Archaea. Basic gene annotation is derived from NCBI Genbank/RefSeq entries, with overlays of sequence conservation across multiple species, nucleotide and protein motifs, non-coding RNA predictions, operon predictions, and other types of bioinformatic analyses. In addition, we display available gene expression data (microarray or high-throughput RNA sequencing). Direct contributions or notices of publication of functional genomic data or bioinformatic analyses from archaeal research labs are very welcome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["GC content","Genome map","Nucleic acid sequence alignment","Expression data","DNA sequence data","RNA sequence","Sequence annotation","Operon prediction","Transcription factor binding site prediction","Multiple sequence alignment","Computational biological predictions","Gene functional annotation","Promoter","Non-coding RNA","Orthologous","Paralogous","Insertion sequence","CRISPR"],"taxonomies":["Archaea","Plasmodium falciparum"],"user_defined_tags":["Palindromic transcription factor (TF) binding site predictions","Poly T motifs as possible transcription termination signals"],"countries":["United States"],"publications":[{"id":201,"pubmed_id":16381898,"title":"The UCSC Archaeal Genome Browser.","year":2005,"url":"http://doi.org/10.1093/nar/gkj134","authors":"Schneider KL., Pollard KS., Baertsch R., Pohl A., Lowe TM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj134","created_at":"2021-09-30T08:22:41.958Z","updated_at":"2021-09-30T08:22:41.958Z"},{"id":202,"pubmed_id":14681465,"title":"The UCSC Table Browser data retrieval tool.","year":2003,"url":"http://doi.org/10.1093/nar/gkh103","authors":"Karolchik D., Hinrichs AS., Furey TS., Roskin KM., Sugnet CW., Haussler D., Kent WJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh103","created_at":"2021-09-30T08:22:42.065Z","updated_at":"2021-09-30T08:22:42.065Z"},{"id":203,"pubmed_id":11932250,"title":"BLAT--the BLAST-like alignment tool.","year":2002,"url":"http://doi.org/10.1101/gr.229202","authors":"Kent WJ.,","journal":"Genome Res.","doi":"10.1101/gr.229202","created_at":"2021-09-30T08:22:42.164Z","updated_at":"2021-09-30T08:22:42.164Z"}],"licence_links":[],"grants":[{"id":480,"fairsharing_record_id":1695,"organisation_id":3037,"relation":"maintains","created_at":"2021-09-30T09:24:33.231Z","updated_at":"2021-09-30T09:24:33.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":482,"fairsharing_record_id":1695,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:33.282Z","updated_at":"2021-09-30T09:24:33.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":479,"fairsharing_record_id":1695,"organisation_id":684,"relation":"maintains","created_at":"2021-09-30T09:24:33.205Z","updated_at":"2021-09-30T09:24:33.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":684,"name":"Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":481,"fairsharing_record_id":1695,"organisation_id":406,"relation":"maintains","created_at":"2021-09-30T09:24:33.255Z","updated_at":"2021-09-30T09:24:33.255Z","grant_id":null,"is_lead":false,"saved_state":{"id":406,"name":"Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1696","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:45.450Z","metadata":{"doi":"10.25504/FAIRsharing.x2vch3","name":"Virulence Factor Database","status":"ready","contacts":[{"contact_name":"Jian Yang","contact_email":"yangj@ipbcams.ac.cn"}],"homepage":"http://www.mgc.ac.cn/VFs/","citations":[],"identifier":1696,"description":"VFDB is an integrated and comprehensive database of virulence factors for bacterial pathogens (also including Chlamydia and Mycoplasma).","abbreviation":"VFDB","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgki008","type":"manual/automated"},"support_links":[{"url":"http://www.mgc.ac.cn/VFs/faq.htm","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.mgc.ac.cn/VFs/help.htm","name":"Database conventions","type":"Help documentation"},{"url":"http://www.mgc.ac.cn/VFs/feedback.htm","name":"Feedback","type":"Contact form"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://www.mgc.ac.cn/cgi-bin/VFs/v5/main.cgi","name":"JavaScript-rich interface with VFanalyzer"}],"data_access_condition":{"url":"http://www.mgc.ac.cn/VFs/main.htm","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093%2Fnar%2Fgki008","type":"open","notes":"Submission either through the ‘Feedback’ form or by email"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000153","bsg-d000153"],"name":"FAIRsharing record for: Virulence Factor Database","abbreviation":"VFDB","url":"https://fairsharing.org/10.25504/FAIRsharing.x2vch3","doi":"10.25504/FAIRsharing.x2vch3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VFDB is an integrated and comprehensive database of virulence factors for bacterial pathogens (also including Chlamydia and Mycoplasma).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Microbiology"],"domains":["Citation","DNA sequence data","Gene model annotation","Pathogen","Disease","Classification","Virulence","Pseudogene"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":44,"pubmed_id":15608208,"title":"VFDB: a reference database for bacterial virulence factors.","year":2004,"url":"http://doi.org/10.1093/nar/gki008","authors":"Chen L., Yang J., Yu J., Yao Z., Sun L., Shen Y., Jin Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki008","created_at":"2021-09-30T08:22:25.146Z","updated_at":"2021-09-30T08:22:25.146Z"},{"id":217,"pubmed_id":17984080,"title":"VFDB 2008 release: an enhanced web-based resource for comparative pathogenomics.","year":2007,"url":"http://doi.org/10.1093/nar/gkm951","authors":"Yang J., Chen L., Sun L., Yu J., Jin Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm951","created_at":"2021-09-30T08:22:43.539Z","updated_at":"2021-09-30T08:22:43.539Z"}],"licence_links":[],"grants":[{"id":483,"fairsharing_record_id":1696,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:33.305Z","updated_at":"2021-09-30T09:31:12.991Z","grant_id":1068,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2005CB522904","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":485,"fairsharing_record_id":1696,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:33.361Z","updated_at":"2021-09-30T09:31:50.369Z","grant_id":1350,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30600022","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":484,"fairsharing_record_id":1696,"organisation_id":1435,"relation":"maintains","created_at":"2021-09-30T09:24:33.331Z","updated_at":"2021-09-30T09:24:33.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":1435,"name":"Institute of Pathogen Biology, Chinese Academy of Medical Sciences \u0026 Peking Union Medical College (CAMS\u0026PUMC), Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1681","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:32.425Z","metadata":{"doi":"10.25504/FAIRsharing.62evqh","name":"neXtProt","status":"ready","contacts":[{"contact_name":"Monique Zahn","contact_email":"monique.zahn@sib.swiss","contact_orcid":"0000-0001-7961-6091"}],"homepage":"https://www.nextprot.org","citations":[{"doi":"10.1093/nar/gkz995","pubmed_id":31724716,"publication_id":2777}],"identifier":1681,"description":"neXtProt is a comprehensive human-centric discovery platform, offering its users a seamless integration of and navigation through protein-related data.","abbreviation":"neXtProt","data_curation":{"url":"https://www.nextprot.org/help/faq#10","type":"manual/automated"},"support_links":[{"url":"support@nextprot.org","type":"Support email"},{"url":"https://www.nextprot.org/help/simple-search","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/a-critical-guide-to-the-nextprot-knowledgebase-querying-using-sparql","name":"A Critical Guide to the neXtProt knowledgebase: querying using SPARQL","type":"TeSS links to training materials"},{"url":"https://en.wikipedia.org/wiki/NeXtProt","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://www.nextprot.org/proteins/search?mode=advanced","name":"Advanced search"},{"url":"https://www.nextprot.org/tools/unicity-checker","name":"Peptide Unicity checker"},{"url":"https://www.nextprot.org/tools/protein-digestion","name":"Protein digestion"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.nextprot.org/help/faq#11","type":"controlled","notes":"Large, high quality data sets on human proteins can be submitted."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000137","bsg-d000137"],"name":"FAIRsharing record for: neXtProt","abbreviation":"neXtProt","url":"https://fairsharing.org/10.25504/FAIRsharing.62evqh","doi":"10.25504/FAIRsharing.62evqh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: neXtProt is a comprehensive human-centric discovery platform, offering its users a seamless integration of and navigation through protein-related data.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11325},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12158},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15066}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Sequence annotation","Genetic polymorphism","Protein expression","Curated information","Sequence variant","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Functional impact of genetic variants"],"countries":["Switzerland"],"publications":[{"id":178,"pubmed_id":22139911,"title":"neXtProt: a knowledge platform for human proteins.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1179","authors":"Lane L., Argoud-Puy G., Britan A., Cusin I., Duek PD., Evalet O., Gateau A., Gaudet P., Gleizes A., Masselot A., Zwahlen C., Bairoch A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1179","created_at":"2021-09-30T08:22:39.489Z","updated_at":"2021-09-30T08:22:39.489Z"},{"id":1783,"pubmed_id":25593349,"title":"The neXtProt knowledgebase on human proteins: current status.","year":2015,"url":"http://doi.org/10.1093/nar/gku1178","authors":"Gaudet P, Michel PA, Zahn-Zabal M, Cusin I, Duek PD, Evalet O, Gateau A, Gleizes A, Pereira M, Teixeira D, Zhang Y, Lane L, Bairoch A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku1178.","created_at":"2021-09-30T08:25:40.105Z","updated_at":"2021-09-30T08:25:40.105Z"},{"id":2050,"pubmed_id":27899619,"title":"The neXtProt knowledgebase on human proteins: 2017 update.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1062","authors":"Gaudet P, Michel PA, Zahn-Zabal M, Britan A, Cusin I, Domagalski M, Duek PD, Gateau A, Gleizes A, Hinard V, Rech de Laval V, Lin J, Nikitin F, Schaeffer M, Teixeira D, Lane L, Bairoch A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw1062.","created_at":"2021-09-30T08:26:10.975Z","updated_at":"2021-09-30T08:26:10.975Z"},{"id":2776,"pubmed_id":23205526,"title":"neXtProt: organizing protein knowledge in the context of human proteome projects.","year":2012,"url":"http://doi.org/10.1021/pr300830v","authors":"Gaudet P, Argoud-Puy G, Cusin I, Duek P, Evalet O, Gateau A, Gleizes A, Pereira M, Zahn-Zabal M, Zwahlen C, Bairoch A, Lane L.","journal":"J Proteome Res","doi":"10.1021/pr300830v.","created_at":"2021-09-30T08:27:41.284Z","updated_at":"2021-09-30T08:27:41.284Z"},{"id":2777,"pubmed_id":31724716,"title":"The neXtProt knowledgebase in 2020: data, tools and usability improvements.","year":2019,"url":"http://doi.org/10.1093/nar/gkz995","authors":"Zahn-Zabal M,Michel PA,Gateau A,Nikitin F,Schaeffer M,Audot E,Gaudet P,Duek PD,Teixeira D,Rech de Laval V,Samarasinghe K,Bairoch A,Lane L","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz995","created_at":"2021-09-30T08:27:41.404Z","updated_at":"2021-09-30T11:29:44.003Z"}],"licence_links":[{"licence_name":"NextProt Data Policies and Disclaimer","licence_id":574,"licence_url":"https://www.nextprot.org/legal-disclaimer/","link_id":165,"relation":"undefined"}],"grants":[{"id":442,"fairsharing_record_id":1681,"organisation_id":587,"relation":"maintains","created_at":"2021-09-30T09:24:31.836Z","updated_at":"2021-09-30T09:24:31.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":587,"name":"Computer and Laboratory Investigation of Proteins of Human Origin Group (CALIPHO), Swiss Institute of Bioinformatics, Geneva, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":444,"fairsharing_record_id":1681,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:31.915Z","updated_at":"2021-09-30T09:24:31.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":443,"fairsharing_record_id":1681,"organisation_id":563,"relation":"funds","created_at":"2021-09-30T09:24:31.877Z","updated_at":"2021-09-30T09:32:10.213Z","grant_id":1499,"is_lead":false,"saved_state":{"id":563,"name":"Commission for Technology and Innovation (CTI), Bern, Switzerland","grant":"10214.1 PFLS-LS","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1689","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T08:43:42.209Z","metadata":{"doi":"10.25504/FAIRsharing.29zsb8","name":"SNPedia","status":"ready","contacts":[{"contact_name":"Support email","contact_email":"info@snpedia.com"}],"homepage":"http://SNPedia.com","citations":[],"identifier":1689,"description":"SNPedia is a wiki resource of the functional consequences of human genetic variation as published in peer-reviewed studies. Entries are formatted to allow associations to be assigned to single genotypes as well as sets of genotypes (genosets). Curation occurs through editorial, community/user, and semi-automated processes.","abbreviation":"SNPedia","data_curation":{"type":"manual","notes":"Curation occurs through editorial, community/user, and semi-automated processes."},"support_links":[{"url":"http://snpedia.com/index.php/SNPedia:FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://snpedia.com/index.php/SNPedia:About","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/SNPedia","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000145","bsg-d000145"],"name":"FAIRsharing record for: SNPedia","abbreviation":"SNPedia","url":"https://fairsharing.org/10.25504/FAIRsharing.29zsb8","doi":"10.25504/FAIRsharing.29zsb8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SNPedia is a wiki resource of the functional consequences of human genetic variation as published in peer-reviewed studies. Entries are formatted to allow associations to be assigned to single genotypes as well as sets of genotypes (genosets). Curation occurs through editorial, community/user, and semi-automated processes.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11053}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genetics","Life Science","Biomedical Science"],"domains":["Genetic polymorphism","Curated information","Single nucleotide polymorphism","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1140,"pubmed_id":22140107,"title":"SNPedia: a wiki supporting personal genome annotation, interpretation and analysis.","year":2011,"url":"http://doi.org/10.1093/nar/gkr798","authors":"Cariaso M,Lennon G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr798","created_at":"2021-09-30T08:24:26.705Z","updated_at":"2021-09-30T11:29:00.485Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States (CC BY-NC-SA 3.0 US)","licence_id":185,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/us/","link_id":155,"relation":"undefined"}],"grants":[{"id":12022,"fairsharing_record_id":1689,"organisation_id":4429,"relation":"maintains","created_at":"2024-07-04T08:40:59.399Z","updated_at":"2024-07-04T08:40:59.399Z","grant_id":null,"is_lead":true,"saved_state":{"id":4429,"name":"MyHeritage","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1690","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:23.576Z","metadata":{"doi":"10.25504/FAIRsharing.2ck3st","name":"SubtiWiki","status":"ready","contacts":[{"contact_name":"Jörg Stülke","contact_email":"jstuelk@gwdg.de"}],"homepage":"http://subtiwiki.uni-goettingen.de","citations":[],"identifier":1690,"description":"Collaborative resource for the Bacillus community.","abbreviation":"SubtiWiki","data_curation":{"type":"manual"},"support_links":[{"url":"http://subtiwiki.uni-goettingen.de/static/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://subtiwiki.uni-goettingen.de/wiki/index.php/Main_Page","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000146","bsg-d000146"],"name":"FAIRsharing record for: SubtiWiki","abbreviation":"SubtiWiki","url":"https://fairsharing.org/10.25504/FAIRsharing.2ck3st","doi":"10.25504/FAIRsharing.2ck3st","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Collaborative resource for the Bacillus community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Molecular interaction","Genetic interaction","Plasmid","Gene"],"taxonomies":["Bacillus subtilis"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":207,"pubmed_id":20157485,"title":"A community-curated consensual annotation that is continuously updated: the Bacillus subtilis centred wiki SubtiWiki.","year":2010,"url":"http://doi.org/10.1093/database/bap012","authors":"Flórez LA., Roppel SF., Schmeisky AG., Lammers CR., Stülke J.,","journal":"Database (Oxford)","doi":"10.1093/database/bap012","created_at":"2021-09-30T08:22:42.539Z","updated_at":"2021-09-30T08:22:42.539Z"},{"id":1396,"pubmed_id":19959575,"title":"Connecting parts with processes: SubtiWiki and SubtiPathways integrate gene and pathway annotation for Bacillus subtilis.","year":2009,"url":"http://doi.org/10.1099/mic.0.035790-0","authors":"Lammers CR., Flórez LA., Schmeisky AG., Roppel SF., Mäder U., Hamoen L., Stülke J.,","journal":"Microbiology (Reading, Engl.)","doi":"10.1099/mic.0.035790-0","created_at":"2021-09-30T08:24:56.076Z","updated_at":"2021-09-30T08:24:56.076Z"},{"id":2250,"pubmed_id":26433225,"title":"SubtiWiki 2.0--an integrated database for the model organism Bacillus subtilis.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1006","authors":"Michna RH,Zhu B,Mader U,Stulke J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1006","created_at":"2021-09-30T08:26:33.648Z","updated_at":"2021-09-30T11:29:31.595Z"}],"licence_links":[],"grants":[{"id":469,"fairsharing_record_id":1690,"organisation_id":1127,"relation":"maintains","created_at":"2021-09-30T09:24:32.877Z","updated_at":"2021-09-30T09:24:32.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":1127,"name":"Georg-August-Universitat Gottingen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9347,"fairsharing_record_id":1690,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.081Z","updated_at":"2022-04-11T12:07:32.098Z","grant_id":17,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"PtJ-BIO/0313978D","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1691","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:23:00.409Z","metadata":{"doi":"10.25504/FAIRsharing.se4zhk","name":"SuperTarget","status":"deprecated","contacts":[{"contact_name":"Robert Preissner","contact_email":"robert.preissner@charite.de"}],"homepage":"http://bioinformatics.charite.de/supertarget","citations":[],"identifier":1691,"description":"Drug-related information: medical indications, adverse drug effects, drug metabolism and Gene Ontology terms of the target proteins.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://bioinformatics.charite.de/supertarget/index.php?site=about","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012195","name":"re3data:r3d100012195","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002696","name":"SciCrunch:RRID:SCR_002696","portal":"SciCrunch"}],"deprecation_date":"2022-02-07","deprecation_reason":"The homepage for this resource currently unavailable, but should be accessible in the future.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000147","bsg-d000147"],"name":"FAIRsharing record for: SuperTarget","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.se4zhk","doi":"10.25504/FAIRsharing.se4zhk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Drug-related information: medical indications, adverse drug effects, drug metabolism and Gene Ontology terms of the target proteins.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11765}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme Commission number","Sequence similarity","Chemical structure","Anatomical Therapeutic Chemical Code","Gene Ontology enrichment","Drug","Target"],"taxonomies":["All"],"user_defined_tags":["Synonyms"],"countries":["Germany"],"publications":[{"id":200,"pubmed_id":17942422,"title":"SuperTarget and Matador: resources for exploring drug-target relationships.","year":2007,"url":"http://doi.org/10.1093/nar/gkm862","authors":"Günther S., Kuhn M., Dunkel M., Campillos M., Senger C., Petsalaki E., Ahmed J., Urdiales EG., Gewiess A., Jensen LJ., Schneider R., Skoblo R., Russell RB., Bourne PE., Bork P., Preissner R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm862","created_at":"2021-09-30T08:22:41.864Z","updated_at":"2021-09-30T08:22:41.864Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":156,"relation":"undefined"}],"grants":[{"id":470,"fairsharing_record_id":1691,"organisation_id":2660,"relation":"maintains","created_at":"2021-09-30T09:24:32.907Z","updated_at":"2021-09-30T09:24:32.907Z","grant_id":null,"is_lead":false,"saved_state":{"id":2660,"name":"Structural Bioinformatics Group, Institute of Molecular Biology and Bioinformatics, Charit-University Medicine Berlin, Arnimallee 22, 14195 Berlin, Germany.","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1697","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-11T08:09:09.802Z","metadata":{"doi":"10.25504/FAIRsharing.2qx8n8","name":"Virus Pathogen Database and Analysis Resource","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"rscheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"http://www.viprbrc.org","citations":[{"doi":"10.1016/b978-0-12-809633-8.20995-3","pubmed_id":null,"publication_id":3507}],"identifier":1697,"description":"The Virus Pathogen Database and Analysis Resource (ViPR) is an integrated repository of data and analysis tools for multiple virus families, supported by the National Institute of Allergy and Infectious Diseases (NIAID) Bioinformatics Resource Centers (BRC) program. ViPR captures various types of information, including sequence records, gene and protein annotations, 3D protein structures, immune epitope locations, clinical and surveillance metadata and novel data derived from comparative genomics analysis. The database is available without charge as a service to the virology research community to help facilitate the development of diagnostics, prophylactics and therapeutics for priority pathogens and other viruses.","abbreviation":"ViPR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"feedback@virusbrc.org","type":"Support email"},{"url":"https://www.viprbrc.org/brc/staticContent.spg?decorator=vipr\u0026type=ViprInfo\u0026subtype=FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.viprbrc.org/brcDocs/ViPRHelp/ViPRhelpfile.htm","type":"Help documentation"},{"url":"https://www.viprbrc.org/brc/problemReport.spg?decorator=vipr","name":"","type":"Contact form"},{"url":"https://www.viprbrc.org/brc/viprTutorials.spg?decorator=vipr","type":"Training documentation"},{"url":"https://github.com/VirusBRC","name":"","type":"Github"},{"url":"https://www.viprbrc.org/brc/newslettersVipr.spg?method=release\u0026decorator=vipr","name":"Virus Pathogen Resource Newsletters","type":"Blog/News"},{"url":"https://www.viprbrc.org/brc/staticContent.spg?decorator=vipr\u0026type=Document\u0026param=vipr-data-standards.html","name":"Data Standards","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://www.viprbrc.org/brc/mgc.spg?method=ShowCleanInputPage\u0026","name":"Metadata-driven Comparative Analysis Tool for Sequences (meta-CATS)"},{"url":"http://www.viprbrc.org/brc/msa.spg?method=ShowCleanInputPage\u0026","name":"Multiple sequence alignment calculation and visualization"},{"url":"http://www.viprbrc.org/brc/tree.spg?method=ShowCleanInputPage\u0026","name":"Phylogenetic tree calculation and visualization"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011931","name":"re3data:r3d100011931","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012983","name":"SciCrunch:RRID:SCR_012983","portal":"SciCrunch"}],"deprecation_date":"2023-07-11","deprecation_reason":"Virus Pathogen Database and Analysis Resource (ViPR) has been shut down/deprecated and replaced by the Bacterial and Viral Bioinformatics Resource Center (BV-BRC).","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000154","bsg-d000154"],"name":"FAIRsharing record for: Virus Pathogen Database and Analysis Resource","abbreviation":"ViPR","url":"https://fairsharing.org/10.25504/FAIRsharing.2qx8n8","doi":"10.25504/FAIRsharing.2qx8n8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Virus Pathogen Database and Analysis Resource (ViPR) is an integrated repository of data and analysis tools for multiple virus families, supported by the National Institute of Allergy and Infectious Diseases (NIAID) Bioinformatics Resource Centers (BRC) program. ViPR captures various types of information, including sequence records, gene and protein annotations, 3D protein structures, immune epitope locations, clinical and surveillance metadata and novel data derived from comparative genomics analysis. The database is available without charge as a service to the virology research community to help facilitate the development of diagnostics, prophylactics and therapeutics for priority pathogens and other viruses.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10762},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12298},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12612}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Proteomics","Virology","Life Science","Biomedical Science","Epidemiology"],"domains":["Expression data","Structure","Sequence feature"],"taxonomies":["Arenaviridae","Bunyaviridae","Caliciviridae","Coronaviridae","Filoviridae","Flaviviridae","Hepeviridae","Herpesviridae","Paramyxoviridae","Picornaviridae","Poxviridae","Reoviridae","Rhabdoviridae","Togaviridae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1310,"pubmed_id":22006842,"title":"ViPR: an open bioinformatics database and analysis resource for virology research.","year":2011,"url":"http://doi.org/10.1093/nar/gkr859","authors":"Pickett BE., Sadat EL., Zhang Y., Noronha JM., Squires RB., Hunt V., Liu M., Kumar S., Zaremba S., Gu Z., Zhou L., Larson CN., Dietrich J., Klem EB., Scheuermann RH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr859","created_at":"2021-09-30T08:24:46.267Z","updated_at":"2021-09-30T08:24:46.267Z"},{"id":3341,"pubmed_id":null,"title":"Virus Pathogen Database and Analysis Resource (ViPR): A Comprehensive Bioinformatics Database and Analysis Resource for the Coronavirus Research Community","year":2012,"url":"http://dx.doi.org/10.3390/v4113209","authors":"Pickett, Brett; Greer, Douglas; Zhang, Yun; Stewart, Lucy; Zhou, Liwei; Sun, Guangyu; Gu, Zhiping; Kumar, Sanjeev; Zaremba, Sam; Larsen, Christopher; Jen, Wei; Klem, Edward; Scheuermann, Richard; ","journal":"Viruses","doi":"10.3390/v4113209","created_at":"2022-04-29T15:01:37.918Z","updated_at":"2022-04-29T15:01:37.918Z"},{"id":3506,"pubmed_id":null,"title":"Virus Databases ☆","year":2017,"url":"http://dx.doi.org/10.1016/B978-0-12-801238-3.95728-3","authors":"McLeod, Kathleen; Upton, Chris; ","journal":"Reference Module in Biomedical Sciences","doi":"10.1016/b978-0-12-801238-3.95728-3","created_at":"2022-08-02T14:47:22.387Z","updated_at":"2022-08-02T14:47:22.387Z"},{"id":3507,"pubmed_id":null,"title":"Database and Analytical Resources for Viral Research Community","year":2019,"url":"http://dx.doi.org/10.1016/B978-0-12-809633-8.20995-3","authors":"Phadke, Sujal; Macherla, Saichetana; Scheuermann, Richard H.; ","journal":"Encyclopedia of Virology","doi":"10.1016/b978-0-12-809633-8.20995-3","created_at":"2022-08-02T14:47:43.108Z","updated_at":"2022-08-02T14:47:43.108Z"}],"licence_links":[],"grants":[{"id":490,"fairsharing_record_id":1697,"organisation_id":2183,"relation":"maintains","created_at":"2021-09-30T09:24:33.593Z","updated_at":"2021-09-30T09:24:33.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":2183,"name":"Northrop Grumman Health IT","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":486,"fairsharing_record_id":1697,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:24:33.411Z","updated_at":"2021-09-30T09:24:33.411Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":489,"fairsharing_record_id":1697,"organisation_id":3179,"relation":"maintains","created_at":"2021-09-30T09:24:33.554Z","updated_at":"2021-09-30T09:24:33.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":3179,"name":"Vecna Technologies","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":488,"fairsharing_record_id":1697,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:33.512Z","updated_at":"2021-09-30T09:30:24.164Z","grant_id":696,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":487,"fairsharing_record_id":1697,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:33.472Z","updated_at":"2021-09-30T09:30:09.096Z","grant_id":574,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01-AI2008038","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1680","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T08:59:55.285Z","metadata":{"doi":"10.25504/FAIRsharing.yytevr","name":"MetaCyc","status":"ready","contacts":[{"contact_name":"BioCyc Support","contact_email":"biocyc-support@ai.sri.com"}],"homepage":"http://metacyc.org/","citations":[],"identifier":1680,"description":"MetaCyc is the largest curated collection of metabolic pathways currently available. It provides a comprehensive resource for metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are experimentally determined, small-molecule metabolic pathways, and are curated from the primary scientific literature. Most reactions in MetaCyc pathways are linked to one or more well-characterized enzymes, and both pathways and enzymes are annotated with reviews, evidence codes, and literature citations. As of 2024 MetaCyc describes 3,150 pathways and 19,000 reactions curated from 76,000 publications.\nMetaCyc is a general reference on metabolic pathways, and is used for metabolic reconstruction from sequence genomes, and for gap-filling metabolic models.\n","abbreviation":null,"data_curation":{"url":"http://bioinformatics.ai.sri.com/ptools/curatorsguide.pdf","type":"manual","notes":"Curator guide for Pathway/Genome database"},"support_links":[{"url":"http://metacyc.org/contact.shtml","type":"Contact form"},{"url":"http://metacyc.org/MetaCycUserGuide.shtml","type":"Help documentation"},{"url":"https://twitter.com/BioCyc","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/MetaCyc","type":"Wikipedia"}],"year_creation":1999,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011294","name":"re3data:r3d100011294","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007778","name":"SciCrunch:RRID:SCR_007778","portal":"SciCrunch"}],"data_access_condition":{"url":"https://metacyc.org/login-help.shtml#why-account","type":"partially open","notes":"Creation of a free BioCyc account is required after an initial set of accesses even for paid subscribers."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://metacyc.org/MetaCycUserGuide.shtml","type":"controlled","notes":"If you are a Pathway Tools user and have created a pathway that fits our criteria, please send it to us."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000136","bsg-d000136"],"name":"FAIRsharing record for: MetaCyc","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.yytevr","doi":"10.25504/FAIRsharing.yytevr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaCyc is the largest curated collection of metabolic pathways currently available. It provides a comprehensive resource for metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are experimentally determined, small-molecule metabolic pathways, and are curated from the primary scientific literature. Most reactions in MetaCyc pathways are linked to one or more well-characterized enzymes, and both pathways and enzymes are annotated with reviews, evidence codes, and literature citations. As of 2024 MetaCyc describes 3,150 pathways and 19,000 reactions curated from 76,000 publications.\nMetaCyc is a general reference on metabolic pathways, and is used for metabolic reconstruction from sequence genomes, and for gap-filling metabolic models.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics","Systems Biology"],"domains":["Annotation","Omics data analysis","Small molecule","Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2583,"pubmed_id":22102576,"title":"The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1014","authors":"Caspi R., Altman T., Dreher K., Fulcher CA., Subhraveti P., Keseler IM., Kothari A., Krummenacker M., Latendresse M., Mueller LA., Ong Q., Paley S., Pujar A., Shearer AG., Travers M., Weerasinghe D., Zhang P., Karp PD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1014","created_at":"2021-09-30T08:27:16.713Z","updated_at":"2021-09-30T08:27:16.713Z"},{"id":2584,"pubmed_id":24225315,"title":"The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases","year":2013,"url":"http://doi.org/10.1093/nar/gkt1103","authors":"Caspi R, Altman T, Billington R, Dreher K, Foerster H, Fulcher CA, Holland TA, Keseler IM, Kothari A, Kubo A, Krummenacker M, Latendresse M, Mueller LA, Ong Q, Paley S, Subhraveti P, Weaver DS, Weerasinghe D, Zhang P, Karp PD.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1103","created_at":"2021-09-30T08:27:16.887Z","updated_at":"2021-09-30T08:27:16.887Z"},{"id":2585,"pubmed_id":26527732,"title":"The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1164","authors":"Caspi R,Billington R,Ferrer L,Foerster H,Fulcher CA,Keseler IM,Kothari A,Krummenacker M,Latendresse M,Mueller LA,Ong Q,Paley S,Subhraveti P,Weaver DS,Karp PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1164","created_at":"2021-09-30T08:27:17.001Z","updated_at":"2021-09-30T11:29:40.011Z"},{"id":4253,"pubmed_id":null,"title":"The Omics Dashboard for Interactive Exploration of Metabolomics and Multi-Omics Data","year":2024,"url":"http://dx.doi.org/10.3390/metabo14010065","authors":"Paley, Suzanne; Karp, Peter D.; ","journal":"Metabolites","doi":"10.3390/metabo14010065","created_at":"2024-04-16T17:47:53.879Z","updated_at":"2024-04-16T17:47:53.879Z"}],"licence_links":[{"licence_name":"BioCyc Database License","licence_id":78,"licence_url":"https://biocyc.org/download-flatfiles.shtml","link_id":672,"relation":"undefined"}],"grants":[{"id":440,"fairsharing_record_id":1680,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:24:31.752Z","updated_at":"2021-09-30T09:24:31.752Z","grant_id":null,"is_lead":true,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":439,"fairsharing_record_id":1680,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:31.715Z","updated_at":"2021-09-30T09:29:22.386Z","grant_id":218,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM080746","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":441,"fairsharing_record_id":1680,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:31.794Z","updated_at":"2021-09-30T09:31:21.775Z","grant_id":1135,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM75742","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7881,"fairsharing_record_id":1680,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:29:23.566Z","updated_at":"2021-09-30T09:29:23.617Z","grant_id":228,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM077678","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbHNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f8bba0a8f6ea7cc18e5e6809e0df7e0e4e705a55/metacyc.png?disposition=inline","exhaustive_licences":false}},{"id":"1688","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.655Z","metadata":{"doi":"10.25504/FAIRsharing.490xfb","name":"Stem Cell Discovery Engine","status":"deprecated","contacts":[{"contact_name":"Philippe Rocca-Serra","contact_email":"philippe.rocca-serra@oerc.ox.ac.uk","contact_orcid":"0000-0001-9853-5668"}],"homepage":"http://discovery.hsci.harvard.edu/","identifier":1688,"description":"Comparison system for cancer stem cell analysis","abbreviation":"SCDE","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://discovery.hsci.harvard.edu/galaxy/","name":"Galaxy gene list comparisons"}],"deprecation_date":"2015-04-21","deprecation_reason":"This resource is no longer maintained, and its data has now been merged with Stem Cell Commons as stated on the SCDE website (http://discovery.hsci.harvard.edu/).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000144","bsg-d000144"],"name":"FAIRsharing record for: Stem Cell Discovery Engine","abbreviation":"SCDE","url":"https://fairsharing.org/10.25504/FAIRsharing.490xfb","doi":"10.25504/FAIRsharing.490xfb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Comparison system for cancer stem cell analysis","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Life Science","Biomedical Science"],"domains":["Citation","Model organism","Cell","Antibody","Chromatin immunoprecipitation - DNA sequencing","Histology","Phenotype","Disease","Tissue","Genotype"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Raw microarray data","Surface protein markers"],"countries":["United States"],"publications":[{"id":1066,"pubmed_id":22121217,"title":"The Stem Cell Discovery Engine: an integrated repository and analysis system for cancer stem cell comparisons.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1051","authors":"Ho Sui SJ., Begley K., Reilly D., Chapman B., McGovern R., Rocca-Sera P., Maguire E., Altschuler GM., Hansen TA., Sompallae R., Krivtsov A., Shivdasani RA., Armstrong SA., Culhane AC., Correll M., Sansone SA., Hofmann O., Hide W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1051","created_at":"2021-09-30T08:24:18.073Z","updated_at":"2021-09-30T08:24:18.073Z"}],"licence_links":[],"grants":[{"id":465,"fairsharing_record_id":1688,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:32.729Z","updated_at":"2021-09-30T09:24:32.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":466,"fairsharing_record_id":1688,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:24:32.777Z","updated_at":"2021-09-30T09:24:32.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1718","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:05.613Z","metadata":{"doi":"10.25504/FAIRsharing.3qh2tg","name":"MODOMICS","status":"ready","contacts":[{"contact_name":"Magdalena Machnicka","contact_email":"mmika@genesilico.pl"}],"homepage":"http://modomics.genesilico.pl/","identifier":1718,"description":"MODOMICS is the first comprehensive database system for biology of RNA modification. It integrates information about the chemical structure of modified nucleosides, their localization in RNA sequences, pathways of their biosynthesis and enzymes that carry out the respective reactions (together with their protein cofactors). Also included are the protein sequences, the structure data (if available), selected references from scientific literature, and links to other databases allowing to obtain comprehensive information about individual modified residues and proteins involved in their biosynthesis.","abbreviation":"MODOMICS","data_curation":{"type":"manual/automated","notes":"https://genesilico.pl/modomics/help"},"support_links":[{"url":"kaja@genesilico.pl","type":"Support email"},{"url":"http://modomics.genesilico.pl/help/","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000175","bsg-d000175"],"name":"FAIRsharing record for: MODOMICS","abbreviation":"MODOMICS","url":"https://fairsharing.org/10.25504/FAIRsharing.3qh2tg","doi":"10.25504/FAIRsharing.3qh2tg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MODOMICS is the first comprehensive database system for biology of RNA modification. It integrates information about the chemical structure of modified nucleosides, their localization in RNA sequences, pathways of their biosynthesis and enzymes that carry out the respective reactions (together with their protein cofactors). Also included are the protein sequences, the structure data (if available), selected references from scientific literature, and links to other databases allowing to obtain comprehensive information about individual modified residues and proteins involved in their biosynthesis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["RNA sequence","Ribonucleic acid","RNA modification"],"taxonomies":["Aquifex aeolicus","Arabidopsis thaliana","Archaeoglobus fulgidus","Bacillus subtilis","Chlorobium tepidum","Clostridium thermocellum","Enterococcus faecium","Escherichia coli","Geobacillus kaustophilus","Geobacter sulfurreducens","Giardia","Haemophilus influenzae","Haloferax volcanii","Homo sapiens","Methanocaldococcus jannaschii","Methanopyrus kandleri","Micromonospora zionensis","Mus musculus","Mycobacterium tuberculosis","Mycoplasma capricolum","Nostoc","Pyrococcus abyssi","Pyrococcus furiosus","Pyrococcus horikoshii","Saccharomyces cerevisiae","Salmonella typhimurium","Schizosaccharomyces pombe","Staphylococcus sciuri","Streptococcus pneumoniae","Streptomyces actuosus","Streptomyces cyaneus","Streptomyces fradiae","Streptomyces sp. DSM 40477","Streptomyces viridochromogenes","Sulfolobus acidocaldarius","Sulfolobus solfataricus","Thermotoga maritima","Thermus thermophilus","Trypanosoma brucei","Yersinia pestis","Zymomonas mobilis"],"user_defined_tags":[],"countries":["Poland"],"publications":[{"id":1894,"pubmed_id":16381833,"title":"MODOMICS: a database of RNA modification pathways.","year":2005,"url":"http://doi.org/10.1093/nar/gkj084","authors":"Dunin-Horkawicz S., Czerwoniec A., Gajda MJ., Feder M., Grosjean H., Bujnicki JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj084","created_at":"2021-09-30T08:25:53.054Z","updated_at":"2021-09-30T08:25:53.054Z"},{"id":1895,"pubmed_id":18854352,"title":"MODOMICS: a database of RNA modification pathways. 2008 update.","year":2008,"url":"http://doi.org/10.1093/nar/gkn710","authors":"Czerwoniec A., Dunin-Horkawicz S., Purta E., Kaminska KH., Kasprzak JM., Bujnicki JM., Grosjean H., Rother K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn710","created_at":"2021-09-30T08:25:53.164Z","updated_at":"2021-09-30T08:25:53.164Z"},{"id":1896,"pubmed_id":23118484,"title":"MODOMICS: a database of RNA modification pathways--2013 update.","year":2012,"url":"http://doi.org/10.1093/nar/gks1007","authors":"Machnicka MA,Milanowska K,Osman Oglou O,Purta E,Kurkowska M,Olchowik A,Januszewski W,Kalinowski S,Dunin-Horkawicz S,Rother KM,Helm M,Bujnicki JM,Grosjean H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1007","created_at":"2021-09-30T08:25:53.272Z","updated_at":"2021-09-30T11:29:22.253Z"}],"licence_links":[],"grants":[{"id":567,"fairsharing_record_id":1718,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:36.415Z","updated_at":"2021-09-30T09:24:36.415Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":569,"fairsharing_record_id":1718,"organisation_id":930,"relation":"funds","created_at":"2021-09-30T09:24:36.485Z","updated_at":"2021-09-30T09:29:05.282Z","grant_id":87,"is_lead":false,"saved_state":{"id":930,"name":"European FP6 Eurasnet project","grant":"LSHG-CT-2005-518238","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":565,"fairsharing_record_id":1718,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:36.336Z","updated_at":"2021-09-30T09:30:06.056Z","grant_id":551,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"5R01AI056034-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":564,"fairsharing_record_id":1718,"organisation_id":330,"relation":"maintains","created_at":"2021-09-30T09:24:36.298Z","updated_at":"2021-09-30T09:24:36.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":330,"name":"Bujnicki Lab, Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw (IIMCB), Warsaw, Poland","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":566,"fairsharing_record_id":1718,"organisation_id":2820,"relation":"funds","created_at":"2021-09-30T09:24:36.373Z","updated_at":"2021-09-30T09:30:32.638Z","grant_id":757,"is_lead":false,"saved_state":{"id":2820,"name":"The Polish Ministry of Science and Higher Education","grant":"N301 010 31/0219","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":568,"fairsharing_record_id":1718,"organisation_id":1753,"relation":"funds","created_at":"2021-09-30T09:24:36.453Z","updated_at":"2021-09-30T09:30:25.849Z","grant_id":707,"is_lead":false,"saved_state":{"id":1753,"name":"Marie Curie 6th EU-6FP Research Training Network 'DNA Enzymes', Europe","grant":"MRTNCT-2005-019566 to K.R","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1719","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:44.667Z","metadata":{"doi":"10.25504/FAIRsharing.c1bjep","name":"HOmo sapiens transcription factor COmprehensive MOdel COllection","status":"ready","contacts":[{"contact_name":"Vsevolod Makeev","contact_email":"vsevolod.makeev@vigg.ru","contact_orcid":"0000-0001-9405-9748"}],"homepage":"https://hocomoco11.autosome.org/","citations":[{"doi":"10.1093/nar/gkx1106","pubmed_id":29140464,"publication_id":1794}],"identifier":1719,"description":"HOmo sapiens COmprehensive MOdel COllection (HOCOMOCO) v11 provides transcription factor (TF) binding models for 680 human and 453 mouse TFs. Since v11, HOCOMOCO is complemented by MoLoTool, an interactive web tool to mark motif occurrences in a given set of DNA sequences. In addition to basic mononucleotide position weight matrices (PWMs), HOCOMOCO provides dinucleotide position weight matrices based on ChIP-Seq data. All the models were produced by the ChIPMunk motif discovery tool. Model quality ratings are results of a comprehensive cross-validation benchmark. ChIP-Seq data for motif discovery was extracted from GTRD database of BioUML platform, that also provides an interface for motif finding (sequence scanning) with HOCOMOCO models.","abbreviation":"HOCOMOCO","data_curation":{"url":"https://hocomoco11.autosome.org/help","type":"manual"},"support_links":[{"url":"https://hocomoco11.autosome.org/help","name":"Hocomovo v.11 help","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://autosome.org/ChIPMunk/","name":"Chipmunk v6b"},{"url":"https://opera.autosome.org/macroape/","name":"MacroApe v4.c"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000176","bsg-d000176"],"name":"FAIRsharing record for: HOmo sapiens transcription factor COmprehensive MOdel COllection","abbreviation":"HOCOMOCO","url":"https://fairsharing.org/10.25504/FAIRsharing.c1bjep","doi":"10.25504/FAIRsharing.c1bjep","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HOmo sapiens COmprehensive MOdel COllection (HOCOMOCO) v11 provides transcription factor (TF) binding models for 680 human and 453 mouse TFs. Since v11, HOCOMOCO is complemented by MoLoTool, an interactive web tool to mark motif occurrences in a given set of DNA sequences. In addition to basic mononucleotide position weight matrices (PWMs), HOCOMOCO provides dinucleotide position weight matrices based on ChIP-Seq data. All the models were produced by the ChIPMunk motif discovery tool. Model quality ratings are results of a comprehensive cross-validation benchmark. ChIP-Seq data for motif discovery was extracted from GTRD database of BioUML platform, that also provides an interface for motif finding (sequence scanning) with HOCOMOCO models.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Transcription factor","Chromatin immunoprecipitation - DNA sequencing","Curated information"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Russia","Saudi Arabia"],"publications":[{"id":1046,"pubmed_id":23175603,"title":"HOCOMOCO: a comprehensive collection of human transcription factor binding sites models.","year":2012,"url":"http://doi.org/10.1093/nar/gks1089","authors":"Kulakovskiy IV,Medvedeva YA,Schaefer U,Kasianov AS,Vorontsov IE,Bajic VB,Makeev VJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1089","created_at":"2021-09-30T08:24:15.795Z","updated_at":"2021-09-30T11:28:57.376Z"},{"id":1051,"pubmed_id":20736340,"title":"Deep and wide digging for binding motifs in ChIP-Seq data.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq488","authors":"Kulakovskiy IV,Boeva VA,Favorov AV,Makeev VJ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq488","created_at":"2021-09-30T08:24:16.364Z","updated_at":"2021-09-30T08:24:16.364Z"},{"id":1054,"pubmed_id":23427986,"title":"From binding motifs in ChIP-Seq data to improved models of transcription factor binding sites.","year":2013,"url":"http://doi.org/10.1142/S0219720013400040","authors":"Kulakovskiy I,Levitsky V,Oshchepkov D,Bryzgalov L,Vorontsov I,Makeev V","journal":"J Bioinform Comput Biol","doi":"10.1142/S0219720013400040","created_at":"2021-09-30T08:24:16.732Z","updated_at":"2021-09-30T08:24:16.732Z"},{"id":1055,"pubmed_id":24074225,"title":"Jaccard index based similarity measure to compare transcription factor binding site models.","year":2013,"url":"http://doi.org/10.1186/1748-7188-8-23","authors":"Vorontsov IE,Kulakovskiy IV,Makeev VJ","journal":"Algorithms Mol Biol","doi":"10.1186/1748-7188-8-23","created_at":"2021-09-30T08:24:16.839Z","updated_at":"2021-09-30T08:24:16.839Z"},{"id":1794,"pubmed_id":29140464,"title":"HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1106","authors":"Kulakovskiy IV,Vorontsov IE,Yevshin IS,Sharipov RN,Fedorova AD,Rumynskiy EI,Medvedeva YA,Magana-Mora A,Bajic VB,Papatsenko DA,Kolpakov FA,Makeev VJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1106","created_at":"2021-09-30T08:25:41.436Z","updated_at":"2021-09-30T11:29:20.910Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1917,"relation":"undefined"}],"grants":[{"id":573,"fairsharing_record_id":1719,"organisation_id":1439,"relation":"maintains","created_at":"2021-09-30T09:24:36.606Z","updated_at":"2021-09-30T09:24:36.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":1439,"name":"Institute of Systems Biology Ltd, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":575,"fairsharing_record_id":1719,"organisation_id":2475,"relation":"funds","created_at":"2021-09-30T09:24:36.691Z","updated_at":"2021-09-30T09:30:35.346Z","grant_id":777,"is_lead":false,"saved_state":{"id":2475,"name":"Russian Science Foundation","grant":"14-50-00060","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8128,"fairsharing_record_id":1719,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:31:06.447Z","updated_at":"2021-09-30T09:31:06.512Z","grant_id":1020,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"15-34-20423","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8224,"fairsharing_record_id":1719,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:31:37.848Z","updated_at":"2021-09-30T09:31:37.900Z","grant_id":1257,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"07.514.11.4005","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":571,"fairsharing_record_id":1719,"organisation_id":3178,"relation":"maintains","created_at":"2021-09-30T09:24:36.534Z","updated_at":"2021-09-30T09:24:36.534Z","grant_id":null,"is_lead":false,"saved_state":{"id":3178,"name":"Vavilov Institute of General Genetics, Russian Academy of Sciences, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":572,"fairsharing_record_id":1719,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:24:36.564Z","updated_at":"2021-09-30T09:24:36.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":570,"fairsharing_record_id":1719,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:24:36.508Z","updated_at":"2021-09-30T09:29:58.238Z","grant_id":492,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"14-04-01838","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":574,"fairsharing_record_id":1719,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:24:36.646Z","updated_at":"2021-09-30T09:30:27.463Z","grant_id":720,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"11.G34.31.0008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8223,"fairsharing_record_id":1719,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:31:37.715Z","updated_at":"2021-09-30T09:31:37.766Z","grant_id":1256,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"07.514.11.4006","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1720","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:48.760Z","metadata":{"doi":"10.25504/FAIRsharing.g646hq","name":"MetalPDB","status":"ready","contacts":[{"contact_name":"Claudia Andreini","contact_email":"andreini@cerm.unifi.it","contact_orcid":"0000-0003-4329-8225"},{"contact_name":"Antonio Rosato","contact_email":"rosato@cerm.unifi.it","contact_orcid":"0000-0001-6172-0368"}],"homepage":"http://metalpdb.cerm.unifi.it/","citations":[{"doi":"10.1093/nar/gkx989","pubmed_id":null,"publication_id":3191}],"identifier":1720,"description":"MetalPDB is a resource aimed at conveying the information available on the three-dimensional structures of metal-binding biological macromolecules in a consistent and effective manner. This is achieved through the systematic and automated representation of metal-binding sites in proteins and nucleic acids by way of Minimal Functional Sites (MFSs). MFSs are three-dimensional templates that describe the local environment around the metal(s) independently of the larger context of the macromolecular structure embedding the site(s), and are the central objects of MetalPDB design. MFSs are grouped into equistructural (broadly defined as sites found in corresponding positions in similar structures) and equivalent sites (equistructural sites that contain the same metals), allowing users to easily analyze similarities and variations in metal-macromolecule interactions, and to link them to functional information.","abbreviation":"MetalPDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://metalpdb.cerm.unifi.it/glossary","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","associated_tools":[{"url":"http://metalweb.cerm.unifi.it/tools/findgeo/","name":"FindGeo"},{"url":"http://metalweb.cerm.unifi.it/tools/metals2/","name":"Metals2"},{"url":"http://metalweb.cerm.unifi.it/tools/metals3/","name":"Metals3"},{"url":"http://metalweb.cerm.unifi.it/tools/metalpredator/","name":"Metal Predator"}],"data_access_condition":{"type":"not found"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000177","bsg-d000177"],"name":"FAIRsharing record for: MetalPDB","abbreviation":"MetalPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.g646hq","doi":"10.25504/FAIRsharing.g646hq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetalPDB is a resource aimed at conveying the information available on the three-dimensional structures of metal-binding biological macromolecules in a consistent and effective manner. This is achieved through the systematic and automated representation of metal-binding sites in proteins and nucleic acids by way of Minimal Functional Sites (MFSs). MFSs are three-dimensional templates that describe the local environment around the metal(s) independently of the larger context of the macromolecular structure embedding the site(s), and are the central objects of MetalPDB design. MFSs are grouped into equistructural (broadly defined as sites found in corresponding positions in similar structures) and equivalent sites (equistructural sites that contain the same metals), allowing users to easily analyze similarities and variations in metal-macromolecule interactions, and to link them to functional information.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12619},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13852}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Protein structure","Ligand","Metal ion binding","Structure"],"taxonomies":["All"],"user_defined_tags":["Metal-macromolecule interaction"],"countries":["Italy"],"publications":[{"id":1897,"pubmed_id":23155064,"title":"MetalPDB: a database of metal sites in biological macromolecular structures.","year":2012,"url":"http://doi.org/10.1093/nar/gks1063","authors":"Andreini C,Cavallaro G,Lorenzini S,Rosato A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1063","created_at":"2021-09-30T08:25:53.387Z","updated_at":"2021-09-30T11:29:22.352Z"},{"id":3191,"pubmed_id":null,"title":"MetalPDB in 2018: a database of metal sites in biological macromolecular structures","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx989","authors":"Putignano, Valeria; Rosato, Antonio; Banci, Lucia; Andreini, Claudia; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx989","created_at":"2022-01-20T15:49:27.326Z","updated_at":"2022-01-20T15:49:27.326Z"}],"licence_links":[],"grants":[{"id":8737,"fairsharing_record_id":1720,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-20T11:14:39.873Z","updated_at":"2022-01-20T11:14:39.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":576,"fairsharing_record_id":1720,"organisation_id":483,"relation":"maintains","created_at":"2021-09-30T09:24:36.728Z","updated_at":"2022-01-20T15:51:29.897Z","grant_id":null,"is_lead":true,"saved_state":{"id":483,"name":"CERM, University of Florence, Florence, Italy","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8740,"fairsharing_record_id":1720,"organisation_id":912,"relation":"funds","created_at":"2022-01-20T15:51:29.864Z","updated_at":"2022-01-20T15:51:29.864Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9305,"fairsharing_record_id":1720,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.122Z","updated_at":"2022-04-11T12:07:29.136Z","grant_id":976,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"RBRN07BMCT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9306,"fairsharing_record_id":1720,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.195Z","updated_at":"2022-04-11T12:07:29.210Z","grant_id":1761,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"2009FAKHZT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9307,"fairsharing_record_id":1720,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.272Z","updated_at":"2022-04-11T12:07:29.287Z","grant_id":126,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"RBFR08WGXT","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1721","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:44:39.557Z","metadata":{"doi":"10.25504/FAIRsharing.ysp7ke","name":"Plant Resistance Gene Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"prg@crg.eu"}],"homepage":"http://prgdb.org/prgdb4/","citations":[],"identifier":1721,"description":"PRGdb is an open and daily updated space about plant resistance genes (PRGs), in which all information available about these genes is stored, annotated and discussed. ","abbreviation":"PRGdb","data_curation":{"url":"https://doi.org/10.1093/nar/gkab1087","type":"automated"},"support_links":[{"url":"http://prgdb.crg.eu/wiki/Howto","type":"Help documentation"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"http://www.prgdb.org/prgdb4/drago3","name":"DRAGO 3"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000178","bsg-d000178"],"name":"FAIRsharing record for: Plant Resistance Gene Database","abbreviation":"PRGdb","url":"https://fairsharing.org/10.25504/FAIRsharing.ysp7ke","doi":"10.25504/FAIRsharing.ysp7ke","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRGdb is an open and daily updated space about plant resistance genes (PRGs), in which all information available about these genes is stored, annotated and discussed. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Plant Genetics"],"domains":["Pathogen","Curated information","Crowdsourcing"],"taxonomies":["Musa","Oryza","Solanaceae","Viridiplantae"],"user_defined_tags":["Plant-pathogen interaction","Plant resistance"],"countries":["Italy","Spain"],"publications":[{"id":1928,"pubmed_id":19906694,"title":"PRGdb: a bioinformatics platform for plant resistance gene analysis.","year":2009,"url":"http://doi.org/10.1093/nar/gkp978","authors":"Sanseverino W., Roma G., De Simone M., Faino L., Melito S., Stupka E., Frusciante L., Ercolano MR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp978","created_at":"2021-09-30T08:25:56.957Z","updated_at":"2021-09-30T08:25:56.957Z"},{"id":1929,"pubmed_id":23161682,"title":"PRGdb 2.0: towards a community-based database model for the analysis of R-genes in plants.","year":2012,"url":"http://doi.org/10.1093/nar/gks1183","authors":"Sanseverino W,Hermoso A,D'Alessandro R,Vlasova A,Andolfo G,Frusciante L,Lowy E,Roma G,Ercolano MR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1183","created_at":"2021-09-30T08:25:57.112Z","updated_at":"2021-09-30T11:29:24.169Z"},{"id":3860,"pubmed_id":null,"title":"PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1087","authors":"Calle García, Joan; Guadagno, Anna; Paytuvi-Gallart, Andreu; Saera-Vila, Alfonso; Amoroso, Ciro Gianmaria; D’Esposito, Daniela; Andolfo, Giuseppe; Aiese Cigliano, Riccardo; Sanseverino, Walter; Ercolano, Maria Raffaella; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1087","created_at":"2023-05-05T10:38:44.857Z","updated_at":"2023-05-05T10:38:44.857Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":164,"relation":"undefined"}],"grants":[{"id":578,"fairsharing_record_id":1721,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:36.807Z","updated_at":"2021-09-30T09:32:44.004Z","grant_id":1753,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"PTA2010-4446-I","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":10041,"fairsharing_record_id":1721,"organisation_id":3630,"relation":"maintains","created_at":"2022-10-13T09:43:42.187Z","updated_at":"2022-10-13T09:43:42.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":3630,"name":"Centre for Genomic Regulation","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9304,"fairsharing_record_id":1721,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.055Z","updated_at":"2022-04-11T12:07:29.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb2dDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--24433421ab9ad56ff4e4d0ecbb5928bde95f1872/DRAGO2PRG.png?disposition=inline","exhaustive_licences":false}},{"id":"1699","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:35.136Z","metadata":{"doi":"10.25504/FAIRsharing.zx1td8","name":"WormBase","status":"ready","contacts":[],"homepage":"http://www.wormbase.org/","citations":[{"doi":"10.1093/nar/gkz920","pubmed_id":31642470,"publication_id":1136}],"identifier":1699,"description":"WormBase is an international consortium of biologists and computer scientists dedicated to providing the research community with accurate, current, accessible information concerning the genetics, genomics and biology of C. elegans and related nematodes.","abbreviation":"WormBase","data_curation":{"url":"https://wormbase.org//about/Frequently_asked_questions","type":"manual","notes":"WormBase has two avenues of gene expression curation: one for individual gene expression pattern evaluation and a second avenue for larger scale analyses of gene expression."},"support_links":[{"url":"https://wormbase.org//tools/support?url=/","name":"Feedback","type":"Contact form"},{"url":"help@wormbase.org","type":"Support email"},{"url":"http://blog.wormbase.org","type":"Blog/News"},{"url":"http://www.wormbase.org/about/userguide#023-1-5","name":"Userguide","type":"Help documentation"},{"url":"https://twitter.com/wormbase","name":"@wormbase","type":"Twitter"},{"url":"https://wormbase.org/resources#234--10","name":"Resources","type":"Other"},{"url":"https://wormbase.org/about/Frequently_asked_questions#639b15fa7e84c0d2--10","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.youtube.com/user/WormBaseHD","name":"Youtube channel","type":"Video"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"https://celegans.textpressocentral.org/tpc","name":"TextPresso"},{"url":"https://spell.wormbase.org/","name":"SPELL"},{"url":"https://wormbase.org/tools/rnaseq/expression_dataset_locator.cgi","name":"Expression Dataset Locator"},{"url":"https://wormbase.org/tools/soba/soba.cgi?action=Gene+Pair+to+SObA+Graph","name":"SObA Gene Pair"},{"url":"https://wormbase.org/tools/soba/soba.cgi?action=Terms+to+SObA+Graph","name":"SObA terms "},{"url":"https://wormbase.org/tools/enrichment/tea/tea.cgi","name":"Enrichment Analysis"},{"url":"https://parasite.wormbase.org/biomart/martview/37f8f578deb4063cd69c209d146eb2a9","name":"Parasite Biomart"},{"url":"http://intermine.wormbase.org/tools/wormmine/begin.do","name":"WormMine"},{"url":"https://wormbase.org/tools/mine/gene_sanitizer.cgi","name":"Gene Name Sanitizer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010424","name":"re3data:r3d100010424","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003098","name":"SciCrunch:RRID:SCR_003098","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://wormbase.org/about/userguide#15--10","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000156","bsg-d000156"],"name":"FAIRsharing record for: WormBase","abbreviation":"WormBase","url":"https://fairsharing.org/10.25504/FAIRsharing.zx1td8","doi":"10.25504/FAIRsharing.zx1td8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WormBase is an international consortium of biologists and computer scientists dedicated to providing the research community with accurate, current, accessible information concerning the genetics, genomics and biology of C. elegans and related nematodes.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10763},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11055},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16181}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Life Science"],"domains":["Mass spectrum","Citation","Cytogenetic map","Genome map","Protein domain","Gene name","Expression data","Bibliography","Free text","Gene Ontology enrichment","Protein interaction","Model organism","Clone library","Reagent","Regulation of gene expression","RNA interference","Antibody","Image","Molecular interaction","Genetic interaction","Small molecule","Genetic polymorphism","Protein expression","Cross linking","Phenotype","Disease","Sequence feature","Promoter","Untranslated region","Pseudogene","Binding site","Single nucleotide polymorphism","Gene","Orthologous","Trans spliced","Genome","Life cycle","Genetic strain"],"taxonomies":["Ascaris suum","Brugia malayi","Caenorhabditis angaria","Caenorhabditis brenneri","Caenorhabditis briggsae","Caenorhabditis elegans","Caenorhabditis japonica","Caenorhabditis remanei","Caenorhabditis sinica","Caenorhabditis tropicalis","Heterorhabditis bacteriophora","Loa Loa","Meloidogyne hapla","Pristionchus pacificus","Strongyloides ratti","Trichinella spiralis"],"user_defined_tags":["Researcher data"],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":212,"pubmed_id":21595960,"title":"Toward an interactive article: integrating journals and biological databases.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-175","authors":"Rangarajan A., Schedl T., Yook K., Chan J., Haenel S., Otis L., Faelten S., DePellegrin-Connelly T., Isaacson R., Skrzypek MS., Marygold SJ., Stefancsik R., Cherry JM., Sternberg PW., Müller HM.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-175","created_at":"2021-09-30T08:22:43.049Z","updated_at":"2021-09-30T08:22:43.049Z"},{"id":213,"pubmed_id":21071413,"title":"The BioGRID Interaction Database: 2011 update.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1116","authors":"Stark C., Breitkreutz BJ., Chatr-Aryamontri A., Boucher L., Oughtred R., Livstone MS., Nixon J., Van Auken K., Wang X., Shi X., Reguly T., Rust JM., Winter A., Dolinski K., Tyers M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1116","created_at":"2021-09-30T08:22:43.164Z","updated_at":"2021-09-30T08:22:43.164Z"},{"id":214,"pubmed_id":21059240,"title":"Localizing triplet periodicity in DNA and cDNA sequences.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-550","authors":"Wang L., Stein LD.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-550","created_at":"2021-09-30T08:22:43.256Z","updated_at":"2021-09-30T08:22:43.256Z"},{"id":215,"pubmed_id":19921742,"title":"Representing ontogeny through ontology: a developmental biologist's guide to the gene ontology.","year":2009,"url":"http://doi.org/10.1002/mrd.21130","authors":"Hill DP., Berardini TZ., Howe DG., Van Auken KM.,","journal":"Mol. Reprod. Dev.","doi":"10.1002/mrd.21130","created_at":"2021-09-30T08:22:43.356Z","updated_at":"2021-09-30T08:22:43.356Z"},{"id":1085,"pubmed_id":19920128,"title":"The Gene Ontology in 2010: extensions and refinements.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1018","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1018","created_at":"2021-09-30T08:24:20.203Z","updated_at":"2021-09-30T11:28:58.186Z"},{"id":1113,"pubmed_id":19910365,"title":"WormBase: a comprehensive resource for nematode research.","year":2009,"url":"http://doi.org/10.1093/nar/gkp952","authors":"Harris TW., Antoshechkin I., et al.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp952","created_at":"2021-09-30T08:24:23.298Z","updated_at":"2021-09-30T08:24:23.298Z"},{"id":1114,"pubmed_id":19622167,"title":"Semi-automated curation of protein subcellular localization: a text mining-based approach to Gene Ontology (GO) Cellular Component curation.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-228","authors":"Van Auken K., Jaffery J., Chan J., Müller HM., Sternberg PW.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-228","created_at":"2021-09-30T08:24:23.407Z","updated_at":"2021-09-30T08:24:23.407Z"},{"id":1130,"pubmed_id":19578431,"title":"The Gene Ontology's Reference Genome Project: a unified framework for functional annotation across species.","year":2009,"url":"http://doi.org/10.1371/journal.pcbi.1000431","authors":"The Gene Ontology Consortium","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1000431","created_at":"2021-09-30T08:24:25.389Z","updated_at":"2021-09-30T08:24:25.389Z"},{"id":1132,"pubmed_id":19099578,"title":"nGASP--the nematode genome annotation assessment project.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-549","authors":"Coghlan A., Fiedler TJ., McKay SJ., Flicek P., Harris TW., Blasiar D., Stein LD.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-549","created_at":"2021-09-30T08:24:25.607Z","updated_at":"2021-09-30T08:24:25.607Z"},{"id":1136,"pubmed_id":31642470,"title":"WormBase: a modern Model Organism Information Resource.","year":2019,"url":"http://doi.org/10.1093/nar/gkz920","authors":"Harris TW,Arnaboldi V,Cain S,Chan J,Chen WJ,Cho J,Davis P,Gao S,Grove CA,Kishore R,Lee RYN,Muller HM,Nakamura C,Nuin P,Paulini M,Raciti D,Rodgers FH,Russell M,Schindelman G,Auken KV,Wang Q,Williams G,Wright AJ,Yook K,Howe KL,Schedl T,Stein L,Sternberg PW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz920","created_at":"2021-09-30T08:24:26.088Z","updated_at":"2021-09-30T11:29:00.134Z"},{"id":1137,"pubmed_id":29069413,"title":"WormBase 2017: molting into a new stage.","year":2017,"url":"http://doi.org/10.1093/nar/gkx998","authors":"Lee RYN,Howe KL, et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx998","created_at":"2021-09-30T08:24:26.299Z","updated_at":"2021-09-30T11:29:00.235Z"}],"licence_links":[{"licence_name":"Wormbase licence","licence_id":921,"licence_url":"https://wormbase.org/about/policies","link_id":2640,"relation":"applies_to_content"}],"grants":[{"id":498,"fairsharing_record_id":1699,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:33.861Z","updated_at":"2021-09-30T09:24:33.861Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":502,"fairsharing_record_id":1699,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:34.021Z","updated_at":"2021-09-30T09:24:34.021Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":496,"fairsharing_record_id":1699,"organisation_id":1904,"relation":"maintains","created_at":"2021-09-30T09:24:33.798Z","updated_at":"2021-09-30T09:24:33.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":1904,"name":"MRC Laboratory of Molecular Biology (LMB), Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":499,"fairsharing_record_id":1699,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:33.904Z","updated_at":"2021-09-30T09:24:33.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":501,"fairsharing_record_id":1699,"organisation_id":344,"relation":"maintains","created_at":"2021-09-30T09:24:33.984Z","updated_at":"2021-09-30T09:24:33.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":344,"name":"California Institute of Technology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":503,"fairsharing_record_id":1699,"organisation_id":2246,"relation":"maintains","created_at":"2021-09-30T09:24:34.063Z","updated_at":"2021-09-30T09:24:34.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":2246,"name":"Ontario Institute For Cancer Research (OICR), Toronto, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":500,"fairsharing_record_id":1699,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:33.946Z","updated_at":"2021-09-30T09:32:44.772Z","grant_id":1759,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41 HG002223","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11607,"fairsharing_record_id":1699,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:34.135Z","updated_at":"2024-03-21T13:59:34.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBmZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c60951354c3f4e791869cd6b713d6b192977ea7f/logowb.png?disposition=inline","exhaustive_licences":false}},{"id":"1700","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:12.447Z","metadata":{"doi":"10.25504/FAIRsharing.tawpg2","name":"The Yeast Metabolome Database","status":"ready","contacts":[],"homepage":"http://www.ymdb.ca","citations":[],"identifier":1700,"description":"The Yeast Metabolome Database (YMDB) is a manually curated database of small molecule metabolites found in or produced by Saccharomyces cerevisiae (also known as Baker’s yeast and Brewer’s yeast). This database covers metabolites described in textbooks, scientific journals, metabolic reconstructions and other electronic databases.","abbreviation":"YMDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=ymdb","type":"Contact form"},{"url":"https://twitter.com/WishartLab","type":"Twitter"},{"url":"http://www.ymdb.ca/documentation","name":"Data source","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012733","name":"re3data:r3d100012733","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005890","name":"SciCrunch:RRID:SCR_005890","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000157","bsg-d000157"],"name":"FAIRsharing record for: The Yeast Metabolome Database","abbreviation":"YMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.tawpg2","doi":"10.25504/FAIRsharing.tawpg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Yeast Metabolome Database (YMDB) is a manually curated database of small molecule metabolites found in or produced by Saccharomyces cerevisiae (also known as Baker’s yeast and Brewer’s yeast). This database covers metabolites described in textbooks, scientific journals, metabolic reconstructions and other electronic databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Chemical formula","Mass spectrum","Chemical structure","Concentration","DNA sequence data","Gene Ontology enrichment","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Cellular localization","Protein","Gene","Amino acid sequence","Chemical descriptor"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":["Physical properties"],"countries":["Canada"],"publications":[{"id":1316,"pubmed_id":22064855,"title":"YMDB: the Yeast Metabolome Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr916","authors":"Jewison T., Knox C., Neveu V., Djoumbou Y., Guo AC., Lee J., Liu P., Mandal R., Krishnamurthy R., Sinelnikov I., Wilson M., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr916","created_at":"2021-09-30T08:24:47.020Z","updated_at":"2021-09-30T08:24:47.020Z"}],"licence_links":[],"grants":[{"id":8589,"fairsharing_record_id":1700,"organisation_id":3309,"relation":"maintains","created_at":"2021-11-10T10:58:10.222Z","updated_at":"2021-11-10T10:58:10.222Z","grant_id":null,"is_lead":true,"saved_state":{"id":3309,"name":"Wishart Research Group, University of Alberta, Edmonton, Canada","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":504,"fairsharing_record_id":1700,"organisation_id":2799,"relation":"funds","created_at":"2021-09-30T09:24:34.105Z","updated_at":"2021-09-30T09:24:34.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8588,"fairsharing_record_id":1700,"organisation_id":359,"relation":"funds","created_at":"2021-11-10T10:58:10.205Z","updated_at":"2021-11-10T10:58:10.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8590,"fairsharing_record_id":1700,"organisation_id":354,"relation":"funds","created_at":"2021-11-10T10:58:10.294Z","updated_at":"2021-11-10T10:58:10.294Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1715","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:12.039Z","metadata":{"doi":"10.25504/FAIRsharing.c3v6e6","name":"IPD-NHKIR - Non-Human Killer-cell Immunoglobulin-like Receptors","status":"ready","contacts":[{"contact_name":"Jesse Bruijnesteijn","contact_email":"bruijnesteijn@bprc.nl"}],"homepage":"https://www.ebi.ac.uk/ipd/nhkir/","citations":[{"doi":"10.1093/nar/gkz950","pubmed_id":31667505,"publication_id":2534}],"identifier":1715,"description":"The IPD-NHKIR database provides a centralised repository for non-human KIR (NHKIR) sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","abbreviation":"IPD-NHKIR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/support/ipd.php","name":"IPD Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/ipd/nhkir/version/v1200/","name":"Version Reports","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/nhkir/statistics/","name":"Statistics","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010797","name":"re3data:r3d100010797","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003004","name":"SciCrunch:RRID:SCR_003004","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ebi.ac.uk/ipd/submission/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000172","bsg-d000172"],"name":"FAIRsharing record for: IPD-NHKIR - Non-Human Killer-cell Immunoglobulin-like Receptors","abbreviation":"IPD-NHKIR","url":"https://fairsharing.org/10.25504/FAIRsharing.c3v6e6","doi":"10.25504/FAIRsharing.c3v6e6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IPD-NHKIR database provides a centralised repository for non-human KIR (NHKIR) sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Genetics","Immunology"],"domains":["Nucleic acid sequence alignment","Multiple sequence alignment","Deoxyribonucleic acid","Genetic polymorphism","Sequence alignment","Killer-cell Immunoglobulin-like Receptors","Gene","Amino acid sequence","Immune system"],"taxonomies":["Bos","Macaca fascicularis","Macaca mulatta","Macaca nemestrina","Pan troglodytes","Pongo abelii","Pongo pygmaeus"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2524,"pubmed_id":31641782,"title":"The IPD Project: a centralised resource for the study of polymorphism in genes of the immune system.","year":2019,"url":"http://doi.org/10.1007/s00251-019-01133-w","authors":"Maccari G,Robinson J,Hammond JA,Marsh SGE","journal":"Immunogenetics","doi":"10.1007/s00251-019-01133-w","created_at":"2021-09-30T08:27:09.626Z","updated_at":"2021-09-30T08:27:09.626Z"},{"id":2801,"pubmed_id":31781789,"title":"Nomenclature report for killer-cell immunoglobulin-like receptors (KIR) in macaque species: new genes/alleles, renaming recombinant entities and IPD-NHKIR updates.","year":2019,"url":"http://doi.org/10.1007/s00251-019-01135-8","authors":"Bruijnesteijn J,de Groot NG,Otting N,Maccari G,Guethlein LA,Robinson J,Marsh SGE,Walter L,O'Connor DH,Hammond JA,Parham P,Bontrop RE","journal":"Immunogenetics","doi":"10.1007/s00251-019-01135-8","created_at":"2021-09-30T08:27:44.448Z","updated_at":"2021-09-30T08:27:44.448Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1591,"relation":"undefined"},{"licence_name":"IPD Licence","licence_id":450,"licence_url":"http://www.ebi.ac.uk/ipd/licence.html","link_id":1590,"relation":"undefined"}],"grants":[{"id":556,"fairsharing_record_id":1715,"organisation_id":1254,"relation":"maintains","created_at":"2021-09-30T09:24:35.973Z","updated_at":"2021-09-30T09:24:35.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":1254,"name":"HLA Informatics Group, Anthony Nolan Research Institute, London, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":555,"fairsharing_record_id":1715,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:35.941Z","updated_at":"2021-09-30T09:24:35.941Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":558,"fairsharing_record_id":1715,"organisation_id":2776,"relation":"funds","created_at":"2021-09-30T09:24:36.052Z","updated_at":"2021-09-30T09:29:06.317Z","grant_id":95,"is_lead":false,"saved_state":{"id":2776,"name":"The Fifth Framework Infrastructures program, European Commission","grant":"QLRI-CT-200!-01325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":557,"fairsharing_record_id":1715,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:36.015Z","updated_at":"2021-09-30T09:32:27.305Z","grant_id":1627,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"NIH/NCI P01 111412","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1716","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-08T08:08:12.226Z","metadata":{"doi":"10.25504/FAIRsharing.h3tjtr","name":"Comparative Toxicogenomics Database","status":"ready","contacts":[{"contact_name":"Allan Peter Davis","contact_email":"apdavis3@ncsu.edu"}],"homepage":"http://ctdbase.org/","citations":[{"doi":"10.1093/nar/gkac833","pubmed_id":null,"publication_id":4270}],"identifier":1716,"description":"The Comparative Toxicogenomics Database (CTD) advances understanding of the effects of environmental chemicals on human health. Biocurators manually curate chemical-gene, chemical-disease, and gene-disease relationships from the scientific literature. This core data is then internally integrated to generate inferred chemical-gene-disease networks. Additionally, the core data is integrated with external data sets (such as Gene Ontology and pathway annotations) to predict many novel associations between different data types. A unique and powerful feature of CTD is the inferred relationships generated by data integration that helps turn knowledge into discoveries by identifying novel connections between chemicals, genes, diseases, pathways, and GO annotations that might not otherwise be apparent using other biological resources.","abbreviation":"CTD","data_curation":{"url":"http://ctdbase.org/about/dataStatus.go","type":"manual/automated"},"support_links":[{"url":"http://ctdbase.org/help/contact.go","type":"Contact form"},{"url":"http://ctdbase.org/help/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://ctdbase.org/help/","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=KL_MpE8g0Uc","name":"CTD Introduction video","type":"Video"},{"url":"http://ctdbase.org/help/tutorials.jsp","type":"Training documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"http://ctdbase.org/search/","name":"Search"},{"url":"http://ctdbase.org/tools/myGeneVenn.go","name":"MyGeneVenn"},{"url":"http://ctdbase.org/tools/myVenn.go","name":"MyVenn"},{"url":"http://ctdbase.org/tools/vennViewer.go","name":"VennViewer"},{"url":"http://ctdbase.org/tools/batchQuery.go","name":"Batch Query"},{"url":"http://ctdbase.org/tools/analyzer.go","name":"Set Analyzer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011530","name":"re3data:r3d100011530","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006530","name":"SciCrunch:RRID:SCR_006530","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000173","bsg-d000173"],"name":"FAIRsharing record for: Comparative Toxicogenomics Database","abbreviation":"CTD","url":"https://fairsharing.org/10.25504/FAIRsharing.h3tjtr","doi":"10.25504/FAIRsharing.h3tjtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Comparative Toxicogenomics Database (CTD) advances understanding of the effects of environmental chemicals on human health. Biocurators manually curate chemical-gene, chemical-disease, and gene-disease relationships from the scientific literature. This core data is then internally integrated to generate inferred chemical-gene-disease networks. Additionally, the core data is integrated with external data sets (such as Gene Ontology and pathway annotations) to predict many novel associations between different data types. A unique and powerful feature of CTD is the inferred relationships generated by data integration that helps turn knowledge into discoveries by identifying novel connections between chemicals, genes, diseases, pathways, and GO annotations that might not otherwise be apparent using other biological resources.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10860},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11767},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12300},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12618}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Anatomy","Toxicogenomics","Toxicology","Biomedical Science","Comparative Genomics","Systems Biology"],"domains":["Expression data","Gene Ontology enrichment","Annotation","Text mining","Protein interaction","Network model","Chemical entity","Molecular interaction","Adverse Reaction","Drug interaction","Curated information","Phenotype","Disease phenotype","Disease","Protein","Pathway model","Gene","Gene-disease association","Chemical-disease association","Literature curation","Chemical-gene association","Exposure"],"taxonomies":["Bos taurus","Caenorhabditis elegans","Canis lupus","Danio rerio","Drosophila","Eumetazoa","Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Adverse outcome pathways","COVID-19","Systems toxicology"],"countries":["United States"],"publications":[{"id":1280,"pubmed_id":23221299,"title":"Targeted journal curation as a method to improve data currency at the Comparative Toxicogenomics Database","year":2012,"url":"http://doi.org/10.1093/database/bas051","authors":"Davis AP, Johnson RJ, Lennon-Hopkins K, Sciaky D, Rosenstein MC, Wiegers TC, Mattingly CJ","journal":"Database (Oxford)","doi":"10.1093/database/bas051","created_at":"2021-09-30T08:24:42.859Z","updated_at":"2021-09-30T08:24:42.859Z"},{"id":1300,"pubmed_id":22434833,"title":"MEDIC: a practical disease vocabulary used at the Comparative Toxicogenomics Database.","year":2012,"url":"https://academic.oup.com/database/article/doi/10.1093/database/bar065/430135","authors":"Davis AP., Wiegers TC., Rosenstein MC., Mattingly CJ.","journal":"Database (Oxford)","doi":"10.1093/database/bar065","created_at":"2021-09-30T08:24:45.201Z","updated_at":"2021-09-30T08:24:45.201Z"},{"id":1309,"pubmed_id":23093600,"title":"The Comparative Toxicogenomics Database: update 2013","year":2012,"url":"http://doi.org/10.1093/nar/gks994","authors":"Davis AP, Murphy CG, Johnson R, Lay JM, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, King BL, Rosenstein MC, Wiegers TC, Mattingly CJ.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks994","created_at":"2021-09-30T08:24:46.167Z","updated_at":"2021-09-30T08:24:46.167Z"},{"id":2441,"pubmed_id":24288140,"title":"A CTD-Pfizer collaboration: manual curation of 88,000 scientific articles text mined for drug-disease and drug-phenotype interactions","year":2013,"url":"http://doi.org/10.1093/database/bat080","authors":"Davis AP, Wiegers TC, Roberts PM, King BL, Lay JM, Lennon-Hopkins K, Sciaky D, Johnson R, Keating H, Greene N, Hernandez R, McConnell KJ, Enayetallah AE, Mattingly CJ.","journal":"Database (Oxford)","doi":"10.1093/database/bat080","created_at":"2021-09-30T08:26:59.410Z","updated_at":"2021-09-30T08:26:59.410Z"},{"id":2442,"pubmed_id":23613709,"title":"Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the Comparative Toxicogenomics Database","year":2013,"url":"http://doi.org/10.1371/journal.pone.0058201","authors":"Davis AP, Wiegers TC, Johnson RJ, Lay JM, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, Murphy CG, Mattingly CJ.","journal":"PLoS One","doi":"10.1371/journal.pone.0058201","created_at":"2021-09-30T08:26:59.511Z","updated_at":"2021-09-30T08:26:59.511Z"},{"id":2444,"pubmed_id":21933848,"title":"The curation paradigm and application tool used for manual curation of the scientific literature at the Comparative Toxicogenomics Database","year":2011,"url":"http://doi.org/10.1093/database/bar034","authors":"Davis AP, Wiegers TC, Rosenstein MC, Murphy CG, Mattingly CJ.","journal":"Database (Oxford)","doi":"10.1093/database/bar034","created_at":"2021-09-30T08:26:59.737Z","updated_at":"2021-09-30T08:26:59.737Z"},{"id":2459,"pubmed_id":22125387,"title":"DiseaseComps: a metric that discovers similar diseases based upon common toxicogenomic profiles at CTD","year":2011,"url":"http://doi.org/10.6026/97320630007154","authors":"Davis AP, Rosenstein MC, Wiegers TC, Mattingly CJ.","journal":"Bioinformation","doi":"10.6026/97320630007154","created_at":"2021-09-30T08:27:01.627Z","updated_at":"2021-09-30T08:27:01.627Z"},{"id":2460,"pubmed_id":20198196,"title":"GeneComps and ChemComps: a new CTD metric to identify genes and chemicals with shared toxicogenomic profiles","year":2009,"url":"http://doi.org/10.6026/97320630004173","authors":"Davis AP, Murphy CG, Saraceni-Richards CA, Rosenstein MC, Wiegers TC, Hampton TH, Mattingly CJ.","journal":"Bioinformation","doi":"10.6026/97320630004173","created_at":"2021-09-30T08:27:01.736Z","updated_at":"2021-09-30T08:27:01.736Z"},{"id":2483,"pubmed_id":30247620,"title":"The Comparative Toxicogenomics Database: update 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky868","authors":"Davis AP,Grondin CJ,Johnson RJ,Sciaky D,McMorran R,Wiegers J,Wiegers TC,Mattingly CJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky868","created_at":"2021-09-30T08:27:04.491Z","updated_at":"2021-09-30T11:29:37.746Z"},{"id":2831,"pubmed_id":18845002,"title":"The Comparative Toxicogenomics Database facilitates identification and understanding of chemical-gene-disease associations: arsenic as a case study","year":2008,"url":"http://doi.org/10.1186/1755-8794-1-48","authors":"Davis AP, Murphy CG, Rosenstein MC, Wiegers TC, Mattingly CJ","journal":"BMC Med Genomics","doi":"10.1186/1755-8794-1-48","created_at":"2021-09-30T08:27:48.232Z","updated_at":"2021-09-30T08:27:48.232Z"},{"id":2846,"pubmed_id":27651457,"title":"The Comparative Toxicogenomics Database: update 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw838","authors":"Davis AP,Grondin CJ,Johnson RJ,Sciaky D,King BL,McMorran R,Wiegers J,Wiegers TC,Mattingly CJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw838","created_at":"2021-09-30T08:27:50.154Z","updated_at":"2021-09-30T11:29:47.229Z"},{"id":2848,"pubmed_id":27170236,"title":"Advancing Exposure Science through Chemical Data Curation and Integration in the Comparative Toxicogenomics Database.","year":2016,"url":"http://doi.org/10.1289/EHP174","authors":"Grondin CJ,Davis AP,Wiegers TC,King BL,Wiegers JA,Reif DM,Hoppin JA,Mattingly CJ","journal":"Environ Health Perspect","doi":"10.1289/EHP174","created_at":"2021-09-30T08:27:50.374Z","updated_at":"2021-09-30T08:27:50.374Z"},{"id":2854,"pubmed_id":27171405,"title":"Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database.","year":2016,"url":"http://doi.org/10.1371/journal.pone.0155530","authors":"Davis AP,Wiegers TC,King BL,Wiegers J,Grondin CJ,Sciaky D,Johnson RJ,Mattingly CJ","journal":"PLoS One","doi":"10.1371/journal.pone.0155530","created_at":"2021-09-30T08:27:51.074Z","updated_at":"2021-09-30T08:27:51.074Z"},{"id":2858,"pubmed_id":25326323,"title":"The Comparative Toxicogenomics Database's 10th year anniversary: update 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku935","authors":"Davis AP,Grondin CJ,Lennon-Hopkins K,Saraceni-Richards C,Sciaky D,King BL,Wiegers TC,Mattingly CJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku935","created_at":"2021-09-30T08:27:51.571Z","updated_at":"2021-09-30T11:29:47.596Z"},{"id":3019,"pubmed_id":29846728,"title":"Chemical-Induced Phenotypes at CTD Help Inform the Predisease State and Construct Adverse Outcome Pathways.","year":2018,"url":"http://doi.org/10.1093/toxsci/kfy131","authors":"Davis AP,Wiegers TC,Wiegers J,Johnson RJ,Sciaky D,Grondin CJ,Mattingly CJ","journal":"Toxicol Sci","doi":"10.1093/toxsci/kfy131","created_at":"2021-09-30T08:28:12.200Z","updated_at":"2021-09-30T08:28:12.200Z"},{"id":3020,"pubmed_id":29351546,"title":"Accessing an Expanded Exposure Science Module at the Comparative Toxicogenomics Database.","year":2018,"url":"http://doi.org/10.1289/EHP2873","authors":"Grondin CJ,Davis AP,Wiegers TC,Wiegers JA,Mattingly CJ","journal":"Environ Health Perspect","doi":"10.1289/EHP2873","created_at":"2021-09-30T08:28:12.317Z","updated_at":"2021-09-30T08:28:12.317Z"},{"id":3021,"pubmed_id":32663284,"title":"Leveraging the Comparative Toxicogenomics Database to fill in knowledge gaps for environmental health: a test case for air pollution-induced cardiovascular disease","year":2020,"url":"http://doi.org/10.1093/toxsci/kfaa113","authors":"Davis AP., Wiegers TC., Grondin CJ., Johnson RJ., Sciaky D., Wiegers J., Mattingly CJ.","journal":"Toxicological Sciences","doi":"https://doi.org/10.1093/toxsci/kfaa113","created_at":"2021-09-30T08:28:12.429Z","updated_at":"2021-09-30T08:28:12.429Z"},{"id":4270,"pubmed_id":null,"title":"Comparative Toxicogenomics Database (CTD): update 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac833","authors":"Davis, Allan Peter; Wiegers, Thomas C; Johnson, Robin J; Sciaky, Daniela; Wiegers, Jolene; Mattingly, Carolyn J; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac833","created_at":"2024-05-01T14:56:56.536Z","updated_at":"2024-05-01T14:56:56.536Z"}],"licence_links":[{"licence_name":"Comparative Toxicogenomics Database Terms of Use","licence_id":1107,"licence_url":"https://ctdbase.org/about/legal.jsp","link_id":3617,"relation":"applies_to_content"}],"grants":[{"id":559,"fairsharing_record_id":1716,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:24:36.090Z","updated_at":"2021-09-30T09:29:33.244Z","grant_id":297,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"ES019604","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8268,"fairsharing_record_id":1716,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:31:50.724Z","updated_at":"2021-09-30T09:31:50.780Z","grant_id":1353,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"ES014065","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9262,"fairsharing_record_id":1716,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.270Z","updated_at":"2022-04-11T12:07:26.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11756,"fairsharing_record_id":1716,"organisation_id":4358,"relation":"maintains","created_at":"2024-05-01T14:59:01.248Z","updated_at":"2024-05-01T14:59:01.248Z","grant_id":null,"is_lead":true,"saved_state":{"id":4358,"name":"North Carolina State University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1717","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T09:10:51.114Z","metadata":{"doi":"10.25504/FAIRsharing.pfes4f","name":"Protein Protein Interaction Inhibition Database","status":"ready","contacts":[{"contact_name":"Philippe Roche","contact_email":"philippe.roche@inserm.fr","contact_orcid":"0000-0002-5580-0588"},{"contact_name":"Marie-jeanne Basse","contact_email":"marie-jeanne.basse@inserm.fr","contact_orcid":null}],"homepage":"https://2p2idb.marseille.inserm.fr/","citations":[],"identifier":1717,"description":"The Protein Protein Interaction Inhibition Database (2P2Idb) is a hand-curated structural database dedicated to the modulation of protein-protein interactions (PPIs). It includes all interactions for which both the protein-protein and protein-modulator complexes have been structurally characterized by X-ray or NMR. The latest version (2024-04-08) of 2P2Idb contains 55 Protein-Protein complexes, 2060 Protein-Ligand complexes and 1769 small molecule PPI inhibitors.. Only inhibitors found at the interface (orthosteric modulators) have been considered. Please note that this database is available for download, but does not have an interactive online search option.\n\n","abbreviation":"2P2Idb","data_curation":{"url":"https://doi.org/10.1093/database/baw007","type":"manual"},"support_links":[],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://2p2idb.marseille.inserm.fr/2p2i_inspector.html","name":"2P2I inspector v2.0"},{"url":"https://chemodots.marseille.inserm.fr/","name":"ChemoDOTS"}],"data_access_condition":{"type":"open","notes":"Download only"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000174","bsg-d000174"],"name":"FAIRsharing record for: Protein Protein Interaction Inhibition Database","abbreviation":"2P2Idb","url":"https://fairsharing.org/10.25504/FAIRsharing.pfes4f","doi":"10.25504/FAIRsharing.pfes4f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Protein Interaction Inhibition Database (2P2Idb) is a hand-curated structural database dedicated to the modulation of protein-protein interactions (PPIs). It includes all interactions for which both the protein-protein and protein-modulator complexes have been structurally characterized by X-ray or NMR. The latest version (2024-04-08) of 2P2Idb contains 55 Protein-Protein complexes, 2060 Protein-Ligand complexes and 1769 small molecule PPI inhibitors.. Only inhibitors found at the interface (orthosteric modulators) have been considered. Please note that this database is available for download, but does not have an interactive online search option.\n\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Drug Discovery","Cheminformatics","Epigenetics","Structural Biology","Computational Biology","Life Science","Computer Science"],"domains":["Protein structure","Protein interaction","Structure"],"taxonomies":["All"],"user_defined_tags":["Protein-protein interaction modulators"],"countries":["France"],"publications":[{"id":148,"pubmed_id":23203891,"title":"2P2Idb: a structural database dedicated to orthosteric modulation of protein-protein interactions.","year":2012,"url":"http://doi.org/10.1093/nar/gks1002","authors":"Basse MJ,Betzi S,Bourgeas R,Bouzidi S,Chetrit B,Hamon V,Morelli X,Roche P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1002","created_at":"2021-09-30T08:22:36.088Z","updated_at":"2021-09-30T11:28:43.293Z"},{"id":1157,"pubmed_id":20231898,"title":"Atomic analysis of protein-protein interfaces with known inhibitors: the 2P2I database.","year":2010,"url":"http://doi.org/10.1371/journal.pone.0009598","authors":"Bourgeas R,Basse MJ,Morelli X,Roche P","journal":"PLoS One","doi":"10.1371/journal.pone.0009598","created_at":"2021-09-30T08:24:28.665Z","updated_at":"2021-09-30T08:24:28.665Z"},{"id":3369,"pubmed_id":null,"title":"2P2Idb v2: update of a structural database dedicated to orthosteric modulation of protein–protein interactions","year":2016,"url":"http://dx.doi.org/10.1093/database/baw007","authors":"Basse, Marie-Jeanne; Betzi, Stéphane; Morelli, Xavier; Roche, Philippe; ","journal":"Database","doi":"10.1093/database/baw007","created_at":"2022-05-19T17:53:01.700Z","updated_at":"2022-05-19T17:53:01.700Z"},{"id":4265,"pubmed_id":26980515,"title":"2P2Idb v2: update of a structural database dedicated to orthosteric modulation of protein-protein interactions","year":2016,"url":"https://academic.oup.com/database/article/doi/10.1093/database/baw007/2630150","authors":"Marie-Jeanne Basse, Stéphane Betzi, Xavier Morelli, Philippe Roche ","journal":"Database (Oxford)","doi":"10.1093/database/baw007","created_at":"2024-04-23T15:21:35.913Z","updated_at":"2024-04-23T15:21:35.913Z"}],"licence_links":[],"grants":[{"id":563,"fairsharing_record_id":1717,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:36.262Z","updated_at":"2021-09-30T09:28:57.267Z","grant_id":29,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-11-BS07-019-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":562,"fairsharing_record_id":1717,"organisation_id":1676,"relation":"maintains","created_at":"2021-09-30T09:24:36.211Z","updated_at":"2022-05-19T17:53:29.967Z","grant_id":null,"is_lead":true,"saved_state":{"id":1676,"name":"Laboratory of Integrative Structural \u0026 Chemical Biology","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZHc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f0201e40d70cd0e84b62431e1b83fdb52aaabf57/2p2.png?disposition=inline","exhaustive_licences":false}},{"id":"1701","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:59:51.143Z","metadata":{"doi":"10.25504/FAIRsharing.4dfs3p","name":"Whole-Cell Knowledge Base","status":"deprecated","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"http://www.wholecellkb.org","citations":[],"identifier":1701,"description":"WholeCellKB is a collection of open-access model organism databases specifically designed to enable whole-cell models. Currently, WholeCellKB contains a database of Mycoplasma genitalium, a Gram-positive bacterium and common human pathogen. The M. genitalium database is the most comprehensive description of any single organism to date, and was used to develop the first whole-cell computational model. The M. genitalium database was curated from over 900 primary research articles, reviews, books, and databases. The M. genitalium database is extensively cross-referenced to external resources including BioCyc, KEGG, and UniProt. WholeCellKB is also an open-source web-based software program for constructing model organism databases. The WholeCellKB software provides an extensive and fully customizable data model that fully describes individual species including the structure and function of each gene, protein, reaction, and pathway. WholeCellKB is freely accessible via a web-based user interface as well as via a RESTful web service.","abbreviation":"WholeCellKB","data_curation":{"url":"http://www.wholecellkb.org/about","type":"manual","notes":"WholeCellKB database was curated from over 900 primary research articles, reviews, books, and databases over four years by a team of three researchers at Stanford University."},"support_links":[{"url":"http://www.wholecellkb.org/tutorial/Mgenitalium","type":"Help documentation"},{"url":"wholecell@lists.stanford.edu","type":"Mailing list"},{"url":"http://www.wholecellkb.org/about/Mgenitalium","type":"Help documentation"},{"url":"https://twitter.com/jonrkarr","type":"Twitter"}],"year_creation":2013,"data_versioning":"yes","deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"url":"https://www.wholecellkb.org/","type":"open","notes":"WholeCellKB is a collection of free, open-source model organism database"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000158","bsg-d000158"],"name":"FAIRsharing record for: Whole-Cell Knowledge Base","abbreviation":"WholeCellKB","url":"https://fairsharing.org/10.25504/FAIRsharing.4dfs3p","doi":"10.25504/FAIRsharing.4dfs3p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WholeCellKB is a collection of open-access model organism databases specifically designed to enable whole-cell models. Currently, WholeCellKB contains a database of Mycoplasma genitalium, a Gram-positive bacterium and common human pathogen. The M. genitalium database is the most comprehensive description of any single organism to date, and was used to develop the first whole-cell computational model. The M. genitalium database was curated from over 900 primary research articles, reviews, books, and databases. The M. genitalium database is extensively cross-referenced to external resources including BioCyc, KEGG, and UniProt. WholeCellKB is also an open-source web-based software program for constructing model organism databases. The WholeCellKB software provides an extensive and fully customizable data model that fully describes individual species including the structure and function of each gene, protein, reaction, and pathway. WholeCellKB is freely accessible via a web-based user interface as well as via a RESTful web service.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12614}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Systems Biology"],"domains":["Curated information"],"taxonomies":["Mycoplasma genitalium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":806,"pubmed_id":23175606,"title":"WholeCellKB: model organism databases for comprehensive whole-cell models.","year":2012,"url":"http://doi.org/10.1093/nar/gks1108","authors":"Karr JR,Sanghvi JC,Macklin DN,Arora A,Covert MW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1108","created_at":"2021-09-30T08:23:48.893Z","updated_at":"2021-09-30T11:28:51.778Z"}],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":159,"relation":"undefined"}],"grants":[{"id":505,"fairsharing_record_id":1701,"organisation_id":1627,"relation":"maintains","created_at":"2021-09-30T09:24:34.146Z","updated_at":"2021-09-30T09:24:34.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":1627,"name":"Karr Lab, Institute for Multiscale Biology \u0026 Genomics, New York, NY, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":506,"fairsharing_record_id":1701,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:34.184Z","updated_at":"2021-09-30T09:29:01.649Z","grant_id":61,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"1P50GM107615","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7877,"fairsharing_record_id":1701,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:20.107Z","updated_at":"2021-09-30T09:29:20.197Z","grant_id":200,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"5DP1LM01150-05","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1702","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:19:12.075Z","metadata":{"doi":"10.25504/FAIRsharing.qkrmth","name":"RhesusBase","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"rhesusbase@pku.edu.cn"}],"homepage":"https://rhesusbase.com/","citations":[],"identifier":1702,"description":"RhesusBase was developed to refine genome-wide macaque gene structures, to integrate macaque functional annotations, and to provide a 'one-stop' knowledgebase for the primate research community.","abbreviation":"RhesusBase","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://rhesusbase.com/help/FAQ.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"https://rhesusbase.com/help/document/genePage.jsp","name":"Gene Page Manual","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://browser.rhesusbase.com/cgi-bin/hgBlat?command=start","name":"Blast"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgPcr?hgsid=1864619","name":"In-Silico PCR"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgTables?hgsid=1864619","name":"Table Browser"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgLiftOver?hgsid=1864619","name":"LiftOver"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgIntegrator?hgsid=1864619","name":"Data Integrtor"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgVai?hgsid=1864619","name":"Variant Annotation Integrator"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgGenome?hgsid=1864619","name":"Genome Graphs"},{"url":"https://browser.rhesusbase.com/util.html","name":"Other Tolls"}],"deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000159","bsg-d000159"],"name":"FAIRsharing record for: RhesusBase","abbreviation":"RhesusBase","url":"https://fairsharing.org/10.25504/FAIRsharing.qkrmth","doi":"10.25504/FAIRsharing.qkrmth","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RhesusBase was developed to refine genome-wide macaque gene structures, to integrate macaque functional annotations, and to provide a 'one-stop' knowledgebase for the primate research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene model annotation","Pseudogene","Gene"],"taxonomies":["Homo sapiens","Mus musculus","Rhesus macaques"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1298,"pubmed_id":26882984,"title":"RhesusBase PopGateway: Genome-Wide Population Genetics Atlas in Rhesus Macaque.","year":2016,"url":"http://doi.org/10.1093/molbev/msw025","authors":"Zhong X,Peng J,Shen QS,Chen JY,Gao H,Luan X,Yan S,Huang X,Zhang SJ,Xu L,Zhang X,Tan BC,Li CY","journal":"Mol Biol Evol","doi":"10.1093/molbev/msw025","created_at":"2021-09-30T08:24:44.935Z","updated_at":"2021-09-30T08:24:44.935Z"},{"id":1299,"pubmed_id":24577841,"title":"Evolutionary interrogation of human biology in well-annotated genomic framework of rhesus macaque.","year":2014,"url":"http://doi.org/10.1093/molbev/msu084","authors":"Zhang SJ,Liu CJ,Yu P,Zhong X,Chen JY,Yang X,Peng J,Yan S,Wang C,Zhu X,Xiong J,Zhang YE,Tan BC,Li CY","journal":"Mol Biol Evol","doi":"10.1093/molbev/msu084","created_at":"2021-09-30T08:24:45.043Z","updated_at":"2021-09-30T08:24:45.043Z"},{"id":1307,"pubmed_id":22965133,"title":"RhesusBase: a knowledgebase for the monkey research community.","year":2012,"url":"http://doi.org/10.1093/nar/gks835","authors":"Zhang SJ,Liu CJ,Shi M,Kong L,Chen JY,Zhou WZ,Zhu X,Yu P,Wang J,Yang X,Hou N,Ye Z,Zhang R,Xiao R,Zhang X,Li CY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks835","created_at":"2021-09-30T08:24:45.957Z","updated_at":"2021-09-30T11:29:05.760Z"}],"licence_links":[],"grants":[{"id":8484,"fairsharing_record_id":1702,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:51.185Z","updated_at":"2021-09-30T09:32:51.237Z","grant_id":1806,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31522032","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":509,"fairsharing_record_id":1702,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:34.265Z","updated_at":"2021-09-30T09:30:14.014Z","grant_id":612,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2012CB518004","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":507,"fairsharing_record_id":1702,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:34.216Z","updated_at":"2021-09-30T09:31:45.436Z","grant_id":1313,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31471240","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8294,"fairsharing_record_id":1702,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:56.899Z","updated_at":"2021-09-30T09:31:56.949Z","grant_id":1400,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2013CB531202","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1703","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:27.948Z","metadata":{"doi":"10.25504/FAIRsharing.bw1e90","name":"Human Ageing Genomic Resources","status":"ready","contacts":[{"contact_name":"João Pedro de Magalhães","contact_email":"jp@senescence.info"}],"homepage":"https://genomics.senescence.info/","citations":[],"identifier":1703,"description":"The Human Ageing Genomic Resources (HAGR) is a collection of databases and tools for the biology and genetics of ageing. HAGR features several databases with high-quality, manually-curated data: 1) GenAge, a database of genes associated with ageing in humans and model organisms; 2) AnAge, an extensive collection of longevity records and complementary traits for over 4,000 vertebrate species; and 3) GenDR, a database containing both gene mutations that interfere with dietary restriction-mediated lifespan extension and consistent gene expression changes induced by dietary restriction.","abbreviation":"HAGR","data_curation":{"url":"https://genomics.senescence.info/about.html","type":"manual"},"support_links":[{"url":"aging@iv.ac.uk","type":"Support email"},{"url":"http://genomics.senescence.info/help.html","type":"Help documentation"},{"url":"https://twitter.com/AgingBiology","type":"Twitter"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"http://genomics.senescence.info/software/perl.html","name":"Ageing Research Computational Tools 0.9"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011871","name":"re3data:r3d100011871","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007700","name":"SciCrunch:RRID:SCR_007700","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000160","bsg-d000160"],"name":"FAIRsharing record for: Human Ageing Genomic Resources","abbreviation":"HAGR","url":"https://fairsharing.org/10.25504/FAIRsharing.bw1e90","doi":"10.25504/FAIRsharing.bw1e90","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Ageing Genomic Resources (HAGR) is a collection of databases and tools for the biology and genetics of ageing. HAGR features several databases with high-quality, manually-curated data: 1) GenAge, a database of genes associated with ageing in humans and model organisms; 2) AnAge, an extensive collection of longevity records and complementary traits for over 4,000 vertebrate species; and 3) GenDR, a database containing both gene mutations that interfere with dietary restriction-mediated lifespan extension and consistent gene expression changes induced by dietary restriction.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Geriatric Medicine","Genomics","Biomedical Science"],"domains":["Model organism","Aging","Phenotype","Disease"],"taxonomies":["Caenorhabditis briggsae","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Podospora anserina","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1924,"pubmed_id":18986374,"title":"The Human Ageing Genomic Resources: online databases and tools for biogerontologists.","year":2008,"url":"http://doi.org/10.1111/j.1474-9726.2008.00442.x","authors":"de Magalhães JP., Budovsky A., Lehmann G., Costa J., Li Y., Fraifeld V., Church GM.,","journal":"Aging Cell","doi":"10.1111/j.1474-9726.2008.00442.x","created_at":"2021-09-30T08:25:56.524Z","updated_at":"2021-09-30T08:25:56.524Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":191,"relation":"undefined"},{"licence_name":"HAGR Disclaimer, Credits and Copyright","licence_id":373,"licence_url":"http://genomics.senescence.info/legal.html","link_id":161,"relation":"undefined"}],"grants":[{"id":510,"fairsharing_record_id":1703,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:34.296Z","updated_at":"2021-09-30T09:30:07.888Z","grant_id":564,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"ME050495MES","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":511,"fairsharing_record_id":1703,"organisation_id":1420,"relation":"maintains","created_at":"2021-09-30T09:24:34.338Z","updated_at":"2021-09-30T09:24:34.338Z","grant_id":null,"is_lead":false,"saved_state":{"id":1420,"name":"Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1704","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:15.459Z","metadata":{"doi":"10.25504/FAIRsharing.96xqbf","name":"PTMcode","status":"ready","contacts":[{"contact_name":"Pablo Minguez","contact_email":"pablominguez@gmail.com","contact_orcid":"0000-0003-4099-9421"}],"homepage":"http://ptmcode.embl.de","citations":[],"identifier":1704,"description":"PTMCode is a resource of known and predicted functional associations between protein post-translational modifications (PTMs) within and between interacting proteins.","abbreviation":"PTMcode","data_curation":{"url":"http://ptmcode.embl.de/help.cgi","type":"automated"},"support_links":[{"url":"letunic@biobyte.de","type":"Support email"},{"url":"http://ptmcode.embl.de/help.cgi","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000161","bsg-d000161"],"name":"FAIRsharing record for: PTMcode","abbreviation":"PTMcode","url":"https://fairsharing.org/10.25504/FAIRsharing.96xqbf","doi":"10.25504/FAIRsharing.96xqbf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PTMCode is a resource of known and predicted functional associations between protein post-translational modifications (PTMs) within and between interacting proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Post-translational protein modification","Functional association"],"taxonomies":["Aedes aegypti","Anopheles gambiae","Arabidopsis thaliana","Bos taurus","Caenorhabditis elegans","Canis familiaris","Drosophila melanogaster","Felis catus","Gallus gallus","Homo sapiens","Macaca mulatta","Monodelphis domestica","Mus musculus","Pan troglodytes","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Xenopus tropicalis"],"user_defined_tags":["Functional associations between PTMs"],"countries":["Germany"],"publications":[{"id":695,"pubmed_id":25361965,"title":"PTMcode v2: a resource for functional associations of post- translational modifications within and between proteins.","year":2014,"url":"http://doi.org/10.1093/nar/gku1081","authors":"Pablo Minguez, Ivica Letunic, Luca Parca, Luz Garcia-Alonso, Joaquin Dopazo, Jaime Huerta-Cepas and Peer Bork","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku1081","created_at":"2021-09-30T08:23:36.595Z","updated_at":"2021-09-30T08:23:36.595Z"},{"id":1925,"pubmed_id":23193284,"title":"PTMcode: a database of known and predicted functional associations between post-translational modifications in proteins.","year":2012,"url":"http://doi.org/10.1093/nar/gks1230","authors":"Minguez P., Letunic I., Parca L., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1230","created_at":"2021-09-30T08:25:56.631Z","updated_at":"2021-09-30T08:25:56.631Z"},{"id":1926,"pubmed_id":22806145,"title":"Deciphering a global network of functionally associated post-translational modifications.","year":2012,"url":"http://doi.org/10.1038/msb.2012.31","authors":"Minguez P., Parca L., Diella F., Mende DR., Kumar R., Helmer-Citterich M., Gavin AC., van Noort V., Bork P.,","journal":"Mol. Syst. Biol.","doi":"10.1038/msb.2012.31","created_at":"2021-09-30T08:25:56.739Z","updated_at":"2021-09-30T08:25:56.739Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":167,"relation":"undefined"}],"grants":[{"id":512,"fairsharing_record_id":1704,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:34.379Z","updated_at":"2021-09-30T09:24:34.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1707","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:36.881Z","metadata":{"doi":"10.25504/FAIRsharing.f55jfq","name":"GenomeRNAi","status":"ready","contacts":[{"contact_name":"Ulrike Hardeland","contact_email":"contact@genomernai.org"}],"homepage":"http://www.genomernai.org","citations":[],"identifier":1707,"description":"The GenomeRNAi database collects RNAi phenotypes recorded in the literature for Homo sapiens and Drosophila melanogaster, as well as details on RNAi reagents. The data is well integrated with information from other resources, allowing comparison within and across species. Download files are provided.","abbreviation":"GenomeRNAi","data_curation":{"url":"http://www.genomernai.org/Index","type":"manual","notes":"RNAi screening data is extracted from the literature by manual curation."},"support_links":[{"url":"contact@genomernai.org","name":"contact@genomernai.org","type":"Support email"},{"url":"http://rnai-screening-wiki.dkfz.de/signaling/wiki/display/genomernai/Home","type":"Help documentation"},{"url":"https://twitter.com/genomernai","type":"Twitter"}],"year_creation":2006,"data_versioning":"no","associated_tools":[{"url":"http://www.e-talen.org/E-TALEN/","name":"E-TALEN"},{"url":"http://www.dkfz.de/signaling/e-rnai3/","name":"E-RNAi"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011089","name":"re3data:r3d100011089","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013088","name":"SciCrunch:RRID:SCR_013088","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"http://www.genomernai.org/About#","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000164","bsg-d000164"],"name":"FAIRsharing record for: GenomeRNAi","abbreviation":"GenomeRNAi","url":"https://fairsharing.org/10.25504/FAIRsharing.f55jfq","doi":"10.25504/FAIRsharing.f55jfq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GenomeRNAi database collects RNAi phenotypes recorded in the literature for Homo sapiens and Drosophila melanogaster, as well as details on RNAi reagents. The data is well integrated with information from other resources, allowing comparison within and across species. Download files are provided.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10931}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["RNA interference","Literature curation"],"taxonomies":["Drosophila melanogaster","Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":223,"pubmed_id":17135194,"title":"GenomeRNAi: a database for cell-based RNAi phenotypes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl906","authors":"Horn T., Arziman Z., Berger J., Boutros M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl906","created_at":"2021-09-30T08:22:44.157Z","updated_at":"2021-09-30T08:22:44.157Z"},{"id":226,"pubmed_id":19910367,"title":"GenomeRNAi: a database for cell-based RNAi phenotypes. 2009 update.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1038","authors":"Gilsdorf M., Horn T., Arziman Z., Pelz O., Kiner E., Boutros M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1038","created_at":"2021-09-30T08:22:44.431Z","updated_at":"2021-09-30T08:22:44.431Z"},{"id":1143,"pubmed_id":23193271,"title":"GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update.","year":2012,"url":"http://doi.org/10.1093/nar/gks1170","authors":"Schmidt EE., Pelz O., Buhlmann S., Kerr G., Horn T., Boutros M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1170","created_at":"2021-09-30T08:24:27.032Z","updated_at":"2021-09-30T08:24:27.032Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1132,"relation":"undefined"}],"grants":[{"id":8874,"fairsharing_record_id":1707,"organisation_id":2785,"relation":"funds","created_at":"2022-02-10T16:21:39.402Z","updated_at":"2022-02-10T16:21:39.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":2785,"name":"The Helmholtz Association, Berlin, germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":525,"fairsharing_record_id":1707,"organisation_id":775,"relation":"maintains","created_at":"2021-09-30T09:24:34.838Z","updated_at":"2021-09-30T09:24:34.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":775,"name":"Division Signaling and Functional Genomics, German Cancer Research Center (DKFZ) and University of Heidelberg, Heidelberg, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":524,"fairsharing_record_id":1707,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:24:34.808Z","updated_at":"2021-09-30T09:24:34.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9234,"fairsharing_record_id":1707,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.223Z","updated_at":"2022-04-11T12:07:24.241Z","grant_id":827,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"HEALTH-F2-2008-201666","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1708","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:49.657Z","metadata":{"doi":"10.25504/FAIRsharing.6ktmmc","name":"Dfam","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"help@dfam.org"}],"homepage":"http://dfam.org/","citations":[{"doi":"10.1093/nar/gkv1272","pubmed_id":26612867,"publication_id":1909}],"identifier":1708,"description":"The Dfam database is a open collection of DNA Transposable Element sequence alignments, hidden Markov Models (HMMs), consensus sequences, and genome annotations. Dfam represents a collection of multiple sequence alignments, each containing a set of representative members of a specific transposable element family. These alignments (seed alignments) are used to generate HMMs and consensus sequences for each family. The Dfam website gives information about each family, and provides genome annotations for a collection of core genomes.","abbreviation":"Dfam","data_curation":{"url":"https://dfam.org/help/family","type":"manual"},"support_links":[{"url":"https://www.dfam.org/help/family","name":"Help Pages","type":"Help documentation"},{"url":"https://www.dfam.org/about","name":"About","type":"Help documentation"},{"url":"https://www.dfam.org/classification","name":"Dfam Classification","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000165","bsg-d000165"],"name":"FAIRsharing record for: Dfam","abbreviation":"Dfam","url":"https://fairsharing.org/10.25504/FAIRsharing.6ktmmc","doi":"10.25504/FAIRsharing.6ktmmc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dfam database is a open collection of DNA Transposable Element sequence alignments, hidden Markov Models (HMMs), consensus sequences, and genome annotations. Dfam represents a collection of multiple sequence alignments, each containing a set of representative members of a specific transposable element family. These alignments (seed alignments) are used to generate HMMs and consensus sequences for each family. The Dfam website gives information about each family, and provides genome annotations for a collection of core genomes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12616}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Hidden Markov model","DNA sequence data","Annotation","Genome annotation","Multiple sequence alignment","Transposable element","Genome"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1909,"pubmed_id":26612867,"title":"The Dfam database of repetitive DNA families.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1272","authors":"Hubley R,Finn RD,Clements J,Eddy SR,Jones TA,Bao W,Smit AF,Wheeler TJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1272","created_at":"2021-09-30T08:25:54.670Z","updated_at":"2021-09-30T11:29:23.035Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1578,"relation":"undefined"}],"grants":[{"id":526,"fairsharing_record_id":1708,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:24:34.880Z","updated_at":"2021-09-30T09:24:34.880Z","grant_id":null,"is_lead":true,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":528,"fairsharing_record_id":1708,"organisation_id":3100,"relation":"maintains","created_at":"2021-09-30T09:24:34.956Z","updated_at":"2021-09-30T09:24:34.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":3100,"name":"University of Montana, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":527,"fairsharing_record_id":1708,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:34.918Z","updated_at":"2021-09-30T09:24:34.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":530,"fairsharing_record_id":1708,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:24:35.025Z","updated_at":"2021-09-30T09:24:35.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":531,"fairsharing_record_id":1708,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:35.072Z","updated_at":"2021-09-30T09:29:40.229Z","grant_id":352,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41LM006252","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9242,"fairsharing_record_id":1708,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.804Z","updated_at":"2022-04-11T12:07:24.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1711","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-02T07:48:32.573Z","metadata":{"doi":"10.25504/FAIRsharing.kkdpxe","name":"MetaboLights","status":"ready","contacts":[{"contact_name":"Claire O'Donovan","contact_email":"odonovan@ebi.ac.uk","contact_orcid":"0000-0001-8051-7429"}],"homepage":"https://www.ebi.ac.uk/metabolights/","citations":[{"doi":"10.1093/nar/gkz1019","pubmed_id":31691833,"publication_id":2771}],"identifier":1711,"description":"MetaboLights is a database for metabolomics studies, their raw experimental data and associated metadata. The database is cross-species and cross-technique and it covers metabolite structures and their reference spectra as well as their biological roles and locations. MetaboLights is the recommended metabolomics repository for a number of leading journals and ELIXIR, the European infrastructure for life science information.","abbreviation":"MTBLS","data_curation":{"url":"https://www.ebi.ac.uk/metabolights/editor/guides/Quick_start_Guide/Quick_start_overview","type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/metabolights/contact","name":"Feedback","type":"Contact form"},{"url":"metabolights-help@ebi.ac.uk","name":"MetaboLights helpdesk","type":"Support email"},{"url":"http://www.ebi.ac.uk/metabolights/help","name":"Help Pages","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/metabolights-quick-tour","name":"MetaboLights: Quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/topic/metabolomics","name":"Training","type":"Training documentation"},{"url":"https://twitter.com/MetaboLights","name":"@MetaboLights","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"ftp://ftp.ebi.ac.uk/pub/databases/metabolights/submissionTool/ISAcreatorMetaboLights.zip","name":"ISAcreator-MetaboLights Bundle 1.7"},{"url":"http://phenomenal-h2020.eu/home/","name":"PhenoMeNal"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011556","name":"re3data:r3d100011556","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014663","name":"SciCrunch:RRID:SCR_014663","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/metabolights/editor/guides/Quick_start_Guide/Quick_start_overview","type":"controlled","notes":"Deposition under login and passing successfull curation"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000168","bsg-d000168"],"name":"FAIRsharing record for: MetaboLights","abbreviation":"MTBLS","url":"https://fairsharing.org/10.25504/FAIRsharing.kkdpxe","doi":"10.25504/FAIRsharing.kkdpxe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaboLights is a database for metabolomics studies, their raw experimental data and associated metadata. The database is cross-species and cross-technique and it covers metabolite structures and their reference spectra as well as their biological roles and locations. MetaboLights is the recommended metabolomics repository for a number of leading journals and ELIXIR, the European infrastructure for life science information.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10923},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10932},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11043},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11326},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11832},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12617}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metabolomics"],"domains":["Chemical formula","Mass spectrum","Chemical structure","Biological sample annotation","Computational biological predictions","Validation","Lipid","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Publication","Biological sample","Assay","Protocol","Biocuration"],"taxonomies":["All"],"user_defined_tags":["Fluxomics"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":509,"pubmed_id":27010336,"title":"MetaboLights: An Open-Access Database Repository for Metabolomics Data.","year":2016,"url":"http://doi.org/10.1002/0471250953.bi1413s53","authors":"Kale NS,Haug K,Conesa P,Jayseelan K,Moreno P,Rocca-Serra P,Nainala VC,Spicer RA,Williams M,Li X,Salek RM,Griffin JL,Steinbeck C","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi1413s53","created_at":"2021-09-30T08:23:15.559Z","updated_at":"2021-09-30T08:23:15.559Z"},{"id":652,"pubmed_id":null,"title":"Dissemination of metabolomics results: role of MetaboLights and COSMOS.","year":2013,"url":"http://doi.org/10.1186/2047-217X-2-8","authors":"Salek RM, Haug K, Steinbeck C","journal":"GigaScience","doi":"10.1186/2047-217X-2-8","created_at":"2021-09-30T08:23:31.935Z","updated_at":"2021-09-30T08:23:31.935Z"},{"id":1973,"pubmed_id":23109552,"title":"MetaboLights--an open-access general-purpose repository for metabolomics studies and associated meta-data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1004","authors":"Haug K, Salek RM, Conesa P, Hastings J, de Matos P, Rijnbeek M, Mahendraker T, Williams M, Neumann S, Rocca-Serra P, Maguire E, González-Beltrán A, Sansone SA, Griffin JL, Steinbeck C.","journal":"Nucleic Acid Research","doi":"10.1093/nar/gks1004","created_at":"2021-09-30T08:26:02.024Z","updated_at":"2021-09-30T08:26:02.024Z"},{"id":2186,"pubmed_id":null,"title":"MetaboLights: towards a new COSMOS of metabolomics data management.","year":2013,"url":"http://doi.org/10.1007/s11306-012-0462-0","authors":"Steinbeck C, Conesa P, Haug K, Mahendraker T, Williams M, Maguire E, Rocca-Serra P, Sansone SA, Salek RM, Griffin JL.","journal":"Metabolomics","doi":"10.1007/s11306-012-0462-0","created_at":"2021-09-30T08:26:26.460Z","updated_at":"2021-09-30T08:26:26.460Z"},{"id":2313,"pubmed_id":null,"title":"The MetaboLights repository: curation challenges in metabolomics","year":2013,"url":"http://doi.org/10.1093/database/bat029","authors":"Reza M. Salek, Kenneth Haug, Pablo Conesa, Janna Hastings, Mark Williams, Tejasvi Mahendraker, Eamonn Maguire, Alejandra N. González-Beltrán, Philippe Rocca-Serra, Susanna-Assunta Sansone and Christoph Steinbeck","journal":"Database: The Journal of Biological Databases and Curation","doi":"10.1093/database/bat029","created_at":"2021-09-30T08:26:43.777Z","updated_at":"2021-09-30T08:26:43.777Z"},{"id":2315,"pubmed_id":28830114,"title":"Automated assembly of species metabolomes through data submission into a public repository.","year":2017,"url":"http://doi.org/10.1093/gigascience/gix062","authors":"Salek RM,Conesa P,Cochrane K,Haug K,Williams M,Kale N,Moreno P,Jayaseelan KV,Macias JR,Nainala VC,Hall RD,Reed LK,Viant MR,O'Donovan C,Steinbeck C","journal":"Gigascience","doi":"10.1093/gigascience/gix062","created_at":"2021-09-30T08:26:44.041Z","updated_at":"2021-09-30T08:26:44.041Z"},{"id":2771,"pubmed_id":31691833,"title":"MetaboLights: a resource evolving in response to the needs of its scientific community.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1019","authors":"Haug K,Cochrane K,Nainala VC,Williams M,Chang J,Jayaseelan KV,O'Donovan C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1019","created_at":"2021-09-30T08:27:40.603Z","updated_at":"2021-09-30T11:29:43.678Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1689,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1688,"relation":"undefined"}],"grants":[{"id":539,"fairsharing_record_id":1711,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:35.363Z","updated_at":"2021-09-30T09:24:35.363Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":544,"fairsharing_record_id":1711,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:35.561Z","updated_at":"2021-09-30T09:29:34.853Z","grant_id":310,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U54GM114833-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":541,"fairsharing_record_id":1711,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:35.436Z","updated_at":"2021-09-30T09:30:20.614Z","grant_id":666,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M027635/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":540,"fairsharing_record_id":1711,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:24:35.402Z","updated_at":"2021-09-30T09:30:34.091Z","grant_id":768,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"634402","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":543,"fairsharing_record_id":1711,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:24:35.522Z","updated_at":"2021-09-30T09:24:35.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":542,"fairsharing_record_id":1711,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:35.472Z","updated_at":"2021-09-30T09:30:19.548Z","grant_id":658,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"MR/L01632X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8105,"fairsharing_record_id":1711,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:30:58.888Z","updated_at":"2021-09-30T09:30:58.955Z","grant_id":963,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654241","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1712","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:02.491Z","metadata":{"doi":"10.25504/FAIRsharing.gwyrzg","name":"Aptamer Base","status":"deprecated","homepage":"http://aptamerbase.semanticscience.org/","identifier":1712,"description":"Aptamer Base, a database that provides detailed, structured information about the experimental conditions under which aptamers were selected and their binding affinity quantified. The open collaborative nature of the Aptamer Base provides the community with a unique resource that can be updated and curated in a decentralized manner, thereby accommodating the ever evolving field of aptamer research. The Aptamer Base homepage is currently unavailable, and until we have more information from the resource, this record has been marked as uncertain.","abbreviation":"Aptamer Base","data_curation":{"type":"not found"},"support_links":[{"url":"http://aptamerbase.semanticscience.org/?q=contact","type":"Contact form"},{"url":"http://aptamerbase.semanticscience.org/?q=about","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"The database has been deprecated and the data can now be downloaded at https://github.com/micheldumontier/aptamerbase","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000169","bsg-d000169"],"name":"FAIRsharing record for: Aptamer Base","abbreviation":"Aptamer Base","url":"https://fairsharing.org/10.25504/FAIRsharing.gwyrzg","doi":"10.25504/FAIRsharing.gwyrzg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Aptamer Base, a database that provides detailed, structured information about the experimental conditions under which aptamers were selected and their binding affinity quantified. The open collaborative nature of the Aptamer Base provides the community with a unique resource that can be updated and curated in a decentralized manner, thereby accommodating the ever evolving field of aptamer research. The Aptamer Base homepage is currently unavailable, and until we have more information from the resource, this record has been marked as uncertain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":[],"taxonomies":[],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":228,"pubmed_id":22434840,"title":"Aptamer Base: a collaborative knowledge base to describe aptamers and SELEX experiments.","year":2012,"url":"http://doi.org/10.1093/database/bas006","authors":"Cruz-Toledo J., McKeague M., Zhang X., Giamberardino A., McConnell E., Francis T., DeRosa MC., Dumontier M.,","journal":"Database (Oxford)","doi":"10.1093/database/bas006","created_at":"2021-09-30T08:22:44.616Z","updated_at":"2021-09-30T08:22:44.616Z"}],"licence_links":[],"grants":[{"id":545,"fairsharing_record_id":1712,"organisation_id":674,"relation":"maintains","created_at":"2021-09-30T09:24:35.593Z","updated_at":"2021-09-30T09:24:35.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":674,"name":"Department of Biology, Carleton University, Ottawa, ON, Canada","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1709","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:34.895Z","metadata":{"doi":"10.25504/FAIRsharing.ab8f4d","name":"Nordic Control Allele Frequency and Genotype Database","status":"deprecated","contacts":[{"contact_name":"Samuli Ripatti","contact_email":"samuli.ripatti@thl.fi","contact_orcid":"0000-0002-0504-1202"}],"homepage":"http://nordicdb.org/","identifier":1709,"description":"Database of SNP genotype control data. The current version of NordicDB pools together high-density genome-wide SNP information from ∼5000 controls originating from Finnish, Swedish and Danish studies and shows country-specific allele frequencies for SNP markers.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","deprecation_date":"2015-09-01","deprecation_reason":"This resource is no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000166","bsg-d000166"],"name":"FAIRsharing record for: Nordic Control Allele Frequency and Genotype Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ab8f4d","doi":"10.25504/FAIRsharing.ab8f4d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of SNP genotype control data. The current version of NordicDB pools together high-density genome-wide SNP information from ∼5000 controls originating from Finnish, Swedish and Danish studies and shows country-specific allele frequencies for SNP markers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["DNA structural variation","Single nucleotide polymorphism","Allele","Genome-wide association study","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Denmark","Finland","Sweden","European Union"],"publications":[{"id":1927,"pubmed_id":20664631,"title":"NordicDB: a Nordic pool and portal for genome-wide control data.","year":2010,"url":"http://doi.org/10.1038/ejhg.2010.112","authors":"Leu M., Humphreys K., Surakka I., Rehnberg E., Muilu J., Rosenström P., Almgren P., Jääskeläinen J., Lifton RP., Kyvik KO., Kaprio J., Pedersen NL., Palotie A., Hall P., Grönberg H., Groop L., Peltonen L., Palmgren J., Ripatti S.,","journal":"Eur. J. Hum. Genet.","doi":"10.1038/ejhg.2010.112","created_at":"2021-09-30T08:25:56.848Z","updated_at":"2021-09-30T08:25:56.848Z"}],"licence_links":[],"grants":[{"id":535,"fairsharing_record_id":1709,"organisation_id":221,"relation":"funds","created_at":"2021-09-30T09:24:35.239Z","updated_at":"2021-09-30T09:24:35.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":221,"name":"Biocentrum Helsinki Foundation, Helsinki, Finland","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":533,"fairsharing_record_id":1709,"organisation_id":2852,"relation":"funds","created_at":"2021-09-30T09:24:35.155Z","updated_at":"2021-09-30T09:24:35.155Z","grant_id":null,"is_lead":false,"saved_state":{"id":2852,"name":"The Wallenberg Foundation","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":534,"fairsharing_record_id":1709,"organisation_id":1011,"relation":"funds","created_at":"2021-09-30T09:24:35.198Z","updated_at":"2021-09-30T09:24:35.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1011,"name":"Finnish Centre of Excellence of Complex Disease Genetics, Helsinki, Finland","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":536,"fairsharing_record_id":1709,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:24:35.277Z","updated_at":"2021-09-30T09:24:35.277Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1710","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:21.782Z","metadata":{"doi":"10.25504/FAIRsharing.90yw2f","name":"Worm Developmental Dynamics Database","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp"}],"homepage":"http://so.qbic.riken.jp/wddd/cdd/index.html","citations":[],"identifier":1710,"description":"This database is a collection of quantitative information about cell division dynamics in early Caenorhabditis elegans embryos when each of all essential embryonic genes is silenced individually by RNA interference (RNAi). The information is obtained by combining four-dimensional differential contrast interference (DIC) microscopy and computer image processing. The information collection provides novel opportunities for developing quantitative and computational approaches towards understanding animal development.","abbreviation":"WDDD","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://so.qbic.riken.jp/wddd/cdd/help.html","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000167","bsg-d000167"],"name":"FAIRsharing record for: Worm Developmental Dynamics Database","abbreviation":"WDDD","url":"https://fairsharing.org/10.25504/FAIRsharing.90yw2f","doi":"10.25504/FAIRsharing.90yw2f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is a collection of quantitative information about cell division dynamics in early Caenorhabditis elegans embryos when each of all essential embryonic genes is silenced individually by RNA interference (RNAi). The information is obtained by combining four-dimensional differential contrast interference (DIC) microscopy and computer image processing. The information collection provides novel opportunities for developing quantitative and computational approaches towards understanding animal development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Bioimaging","Microscopy","RNA interference","Cell division"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":62,"pubmed_id":23172286,"title":"WDDD: Worm Developmental Dynamics Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1107","authors":"Kyoda K., Adachi E., Masuda E., Nagai Y., Suzuki Y., Oguro T., Urai M., Arai R., Furukawa M., Shimada K., Kuramochi J., Nagai E., Onami S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1107","created_at":"2021-09-30T08:22:26.956Z","updated_at":"2021-09-30T08:22:26.956Z"}],"licence_links":[],"grants":[{"id":537,"fairsharing_record_id":1710,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:35.309Z","updated_at":"2021-09-30T09:24:35.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":538,"fairsharing_record_id":1710,"organisation_id":1669,"relation":"maintains","created_at":"2021-09-30T09:24:35.333Z","updated_at":"2021-09-30T09:24:35.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":1669,"name":"Laboratory for Developmental Dynamics, RIKEN Quantitative Biology Center, Kobe, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1698","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:04:24.824Z","metadata":{"doi":"10.25504/FAIRsharing.1x53qk","name":"WikiPathways","status":"ready","contacts":[{"contact_name":"Alex Pico","contact_email":"alex.pico@gladstone.ucsf.edu","contact_orcid":"0000-0001-5706-2163"}],"homepage":"https://wikipathways.org","citations":[],"identifier":1698,"description":"WikiPathways is an open, collaborative platform dedicated to the curation of biological pathways. WikiPathways was established to facilitate the contribution and maintenance of pathway information by the biology community.","abbreviation":"WikiPathways","data_curation":{"url":"https://www.wikipathways.org/help.html#participate","type":"manual","notes":"A weekly rotation of community curators work to ensure the quality of new content and edits to existing content."},"support_links":[{"url":"http://wikipathways.org/index.php/Help:Contents","type":"Help documentation"},{"url":"http://wikipathways.tumblr.com/","type":"Help documentation"},{"url":"https://groups.google.com/forum/#!forum/wikipathways-discuss","type":"Mailing list"},{"url":"https://twitter.com/WikiPathways","type":"Twitter"},{"url":"https://github.com/wikipathways/wikipathways-faq/discussions","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://pathvisio.org/","name":"PathVisio 3.3.0"},{"url":"http://apps.cytoscape.org/apps/wikipathways","name":"WikiPathways App 3.3.7"},{"url":"https://pathvisio.github.io/plugins/plugins-repo","name":"WikiPathways Plugin"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013316","name":"re3data:r3d100013316","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002134","name":"SciCrunch:RRID:SCR_002134","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.wikipathways.org/about.html","type":"open","notes":"The pathway content at WikiPathways is freely available for download in a variety of data and image formats"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.wikipathways.org/help.html#participate","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000155","bsg-d000155"],"name":"FAIRsharing record for: WikiPathways","abbreviation":"WikiPathways","url":"https://fairsharing.org/10.25504/FAIRsharing.1x53qk","doi":"10.25504/FAIRsharing.1x53qk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WikiPathways is an open, collaborative platform dedicated to the curation of biological pathways. WikiPathways was established to facilitate the contribution and maintenance of pathway information by the biology community.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17058},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11054},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11520},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12241},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12299},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12613}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Mathematical model","Image","Pathway model"],"taxonomies":["Anopheles gambiae","Arabidopsis thaliana","Bacillus subtilis","Bos taurus","Caenorhabditis elegans","Canis familiaris","Danio rerio","Drosophila melanogaster","Equus caballus","Escherichia coli","Gallus gallus","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Oryza sativa","Pan troglodytes","Rattus norvegicus","Saccharomyces cerevisiae","Sus scrofa","Xenopus laevis","Zea mays"],"user_defined_tags":["COVID-19"],"countries":["Netherlands","United Kingdom","United States"],"publications":[{"id":216,"pubmed_id":18651794,"title":"WikiPathways: pathway editing for the people.","year":2008,"url":"http://doi.org/10.1371/journal.pbio.0060184","authors":"Pico AR., Kelder T., van Iersel MP., Hanspers K., Conklin BR., Evelo C.,","journal":"PLoS Biol.","doi":"10.1371/journal.pbio.0060184","created_at":"2021-09-30T08:22:43.448Z","updated_at":"2021-09-30T08:22:43.448Z"},{"id":1315,"pubmed_id":19649250,"title":"Mining biological pathways using WikiPathways web services.","year":2009,"url":"http://doi.org/10.1371/journal.pone.0006447","authors":"Kelder T., Pico AR., Hanspers K., van Iersel MP., Evelo C., Conklin BR.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0006447","created_at":"2021-09-30T08:24:46.842Z","updated_at":"2021-09-30T08:24:46.842Z"},{"id":1955,"pubmed_id":22096230,"title":"WikiPathways: building research communities on biological pathways.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1074","authors":"Kelder T,van Iersel MP,Hanspers K,Kutmon M,Conklin BR,Evelo CT,Pico AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1074","created_at":"2021-09-30T08:25:59.987Z","updated_at":"2021-09-30T11:29:24.637Z"},{"id":1965,"pubmed_id":33211851,"title":"WikiPathways: connecting communities.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1024","authors":"Martens M,Ammar A,Riutta A,Waagmeester A,Slenter DN,Hanspers K,A Miller R,Digles D,Lopes EN,Ehrhart F,Dupuis LJ,Winckers LA,Coort SL,Willighagen EL,Evelo CT,Pico AR,Kutmon M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1024","created_at":"2021-09-30T08:26:01.186Z","updated_at":"2021-09-30T11:29:24.819Z"},{"id":2847,"pubmed_id":26481357,"title":"WikiPathways: capturing the full diversity of pathway knowledge.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1024","authors":"Kutmon M,Riutta A,Nunes N,Hanspers K,Willighagen EL,Bohler A,Melius J,Waagmeester A,Sinha SR,Miller R,Coort SL,Cirillo E,Smeets B,Evelo CT,Pico AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1024","created_at":"2021-09-30T08:27:50.261Z","updated_at":"2021-09-30T11:29:47.322Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":249,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2673,"relation":"applies_to_content"}],"grants":[{"id":495,"fairsharing_record_id":1698,"organisation_id":1159,"relation":"maintains","created_at":"2021-09-30T09:24:33.774Z","updated_at":"2021-09-30T09:24:33.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":1159,"name":"Gladstone Institutes","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7969,"fairsharing_record_id":1698,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:30:09.318Z","updated_at":"2021-09-30T09:30:09.374Z","grant_id":576,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"gm-100039","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8258,"fairsharing_record_id":1698,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:31:47.932Z","updated_at":"2021-09-30T09:31:47.972Z","grant_id":1331,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"GM100039","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":491,"fairsharing_record_id":1698,"organisation_id":2989,"relation":"maintains","created_at":"2021-09-30T09:24:33.625Z","updated_at":"2021-09-30T09:24:33.625Z","grant_id":null,"is_lead":false,"saved_state":{"id":2989,"name":"Department of Bioinformatics, Universiteit Maastricht","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":493,"fairsharing_record_id":1698,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:33.704Z","updated_at":"2021-09-30T09:24:33.704Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":492,"fairsharing_record_id":1698,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:33.663Z","updated_at":"2021-09-30T09:30:07.473Z","grant_id":561,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"GM103504","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":494,"fairsharing_record_id":1698,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:33.747Z","updated_at":"2021-09-30T09:30:32.075Z","grant_id":752,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HG003053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8419,"fairsharing_record_id":1698,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:33.468Z","updated_at":"2021-09-30T09:32:33.519Z","grant_id":1673,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"GM080223","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYlU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0b670e102fa16a71e75c331fa057537a20c83365/wplogo_500.png?disposition=inline","exhaustive_licences":false}},{"id":"1730","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:19.628Z","metadata":{"doi":"10.25504/FAIRsharing.dkbt9j","name":"Carbohydrate Structure Database","status":"ready","contacts":[{"contact_name":"Philip Toukach","contact_email":"netbox@toukach.ru"}],"homepage":"http://csdb.glycoscience.ru/database/","citations":[{"doi":"10.1093/nar/gkv840","pubmed_id":26286194,"publication_id":2160}],"identifier":1730,"description":"The Carbohydrate Structure Database (CSDB) contains manually curated natural carbohydrate structures, taxonomy, bibliography, NMR data and more. The Bacterial (BCSDB) and Plant\u0026Fungal (PFCSDB) databases were merged in 2015, becoming the CSDB, to improve the quality of content-dependent services, such as taxon clustering and NMR simulation.","abbreviation":"CSDB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://csdb.glycoscience.ru/database/core/feedback.php","type":"Contact form"},{"url":"netbox@toukach.ru","type":"Support email"},{"url":"http://csdb.glycoscience.ru/database/core/help.php?topic=examples","name":"Examples of Usage","type":"Help documentation"},{"url":"http://csdb.glycoscience.ru/database/core/help.php?db=database\u0026topic=about","name":"About CSDB","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://csdb.glycoscience.ru/database/core/nmrsim.html","name":"Predict NMR"},{"url":"http://csdb.glycoscience.ru/biopsel/grass_interface.php","name":"NMR-based Structure Matching"},{"url":"http://csdb.glycoscience.ru/database/core/dimers.html","name":"Monomer and Dimer Abundance"},{"url":"http://csdb.glycoscience.ru/integration/dsmatrix.php","name":"Glycome-based Taxon clustering"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012862","name":"re3data:r3d100012862","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://csdb.glycoscience.ru/database/core/submit.php","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000187","bsg-d000187"],"name":"FAIRsharing record for: Carbohydrate Structure Database","abbreviation":"CSDB","url":"https://fairsharing.org/10.25504/FAIRsharing.dkbt9j","doi":"10.25504/FAIRsharing.dkbt9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Carbohydrate Structure Database (CSDB) contains manually curated natural carbohydrate structures, taxonomy, bibliography, NMR data and more. The Bacterial (BCSDB) and Plant\u0026Fungal (PFCSDB) databases were merged in 2015, becoming the CSDB, to improve the quality of content-dependent services, such as taxon clustering and NMR simulation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Molecular structure","Carbohydrate","Nuclear Magnetic Resonance (NMR) spectroscopy","Cross linking","Curated information","Structure"],"taxonomies":["Algae","Archaea","Bacteria","Fungi","Plantae"],"user_defined_tags":["Glycan sequences","Non-carbohydrate moieties"],"countries":["Russia"],"publications":[{"id":665,"pubmed_id":17202164,"title":"Sharing of worldwide distributed carbohydrate-related digital resources: online connection of the Bacterial Carbohydrate Structure DataBase and GLYCOSCIENCES.de","year":2007,"url":"http://doi.org/10.1093/nar/gkl883","authors":"Ph. Toukach, H. Joshi, R. Ranzinger, Yu. Knirel, C.-W. von der Lieth","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl883","created_at":"2021-09-30T08:23:33.402Z","updated_at":"2021-09-30T08:23:33.402Z"},{"id":666,"pubmed_id":21155523,"title":"Bacterial Carbohydrate Structure Database 3: principles and realization","year":2010,"url":"http://doi.org/10.1021/ci100150d","authors":"Ph. Toukach","journal":"J. Chem. Inf. Model.","doi":"10.1021/ci100150d","created_at":"2021-09-30T08:23:33.510Z","updated_at":"2021-09-30T08:23:33.510Z"},{"id":2159,"pubmed_id":18694500,"title":"Statistical analysis of the Bacterial Carbohydrate Structure Data Base (BCSDB): Characteristics and diversity of bacterial carbohydrates in comparison with mammalian glycans","year":2008,"url":"http://doi.org/10.1186/1472-6807-8-35","authors":"S. Herget, Ph. Toukach, R. Ranzinger, W.E. Hull, Y. Knirel, C.-W. von der Lieth","journal":"BMC Struct. Biol.","doi":"10.1186/1472-6807-8-35","created_at":"2021-09-30T08:26:23.408Z","updated_at":"2021-09-30T08:26:23.408Z"},{"id":2160,"pubmed_id":26286194,"title":"Carbohydrate structure database merged from bacterial, archaeal, plant and fungal parts.","year":2015,"url":"http://doi.org/10.1093/nar/gkv840","authors":"Toukach PV,Egorova KS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv840","created_at":"2021-09-30T08:26:23.514Z","updated_at":"2021-09-30T11:29:30.328Z"},{"id":3729,"pubmed_id":null,"title":"Carbohydrate Structure Database (CSDB): Examples of Usage","year":2016,"url":"http://dx.doi.org/10.1007/978-4-431-56454-6_5","authors":"Egorova, Ksenia S.; Toukach, Philip V.; ","journal":"A Practical Guide to Using Glycomics Databases","doi":"10.1007/978-4-431-56454-6_5","created_at":"2022-12-07T13:15:03.025Z","updated_at":"2022-12-07T13:15:03.025Z"},{"id":3730,"pubmed_id":null,"title":"Bacterial, Plant, and Fungal Carbohydrate Structure Databases: Daily Usage","year":2015,"url":"http://dx.doi.org/10.1007/978-1-4939-2343-4_5","authors":"Toukach, Philip V.; Egorova, Ksenia S.; ","journal":"Methods in Molecular Biology","doi":"10.1007/978-1-4939-2343-4_5","created_at":"2022-12-07T13:15:28.756Z","updated_at":"2022-12-07T13:15:28.756Z"}],"licence_links":[],"grants":[{"id":611,"fairsharing_record_id":1730,"organisation_id":1512,"relation":"funds","created_at":"2021-09-30T09:24:37.876Z","updated_at":"2021-09-30T09:24:37.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":1512,"name":"International Science and Technology Center (ISTC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":610,"fairsharing_record_id":1730,"organisation_id":756,"relation":"maintains","created_at":"2021-09-30T09:24:37.838Z","updated_at":"2021-09-30T09:24:37.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":756,"name":"Deutsches Krebsforschungszentrum","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":612,"fairsharing_record_id":1730,"organisation_id":3272,"relation":"maintains","created_at":"2021-09-30T09:24:37.914Z","updated_at":"2021-09-30T09:24:37.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":3272,"name":"Zelinsky Institute of Organic Chemistry, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":609,"fairsharing_record_id":1730,"organisation_id":2472,"relation":"funds","created_at":"2021-09-30T09:24:37.807Z","updated_at":"2021-09-30T09:31:48.835Z","grant_id":1338,"is_lead":false,"saved_state":{"id":2472,"name":"Russian Federation President program, Russia","grant":"MK-1700.2005.4","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9323,"fairsharing_record_id":1730,"organisation_id":2474,"relation":"funds","created_at":"2022-04-11T12:07:30.377Z","updated_at":"2022-04-11T12:07:30.396Z","grant_id":1525,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"N05-07-90099","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaXNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d1b9b1cfd6b4cfb25c9e2afb7bad78c8bf7bdc4a/Screenshot%20from%202022-12-07%2013-13-16.png?disposition=inline","exhaustive_licences":false}},{"id":"1731","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T10:33:56.546Z","metadata":{"doi":"10.25504/FAIRsharing.mt6057","name":"CellFinder","status":"deprecated","contacts":[{"contact_name":"Andreas Kurtz","contact_email":"contact@cellfinder.de"}],"homepage":"http://cellfinder.org/","citations":[],"identifier":1731,"description":"CellFinder maps validated gene and protein expression, phenotype and images related to cell types.The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text.","abbreviation":"CellFinder","data_curation":{"type":"not found"},"support_links":[{"url":"http://cellfinder.de/contact","type":"Contact form"},{"url":"http://cellfinder.org/help/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.youtube.com/watch?v=14oGjsLsE0I","type":"Video"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://sbb.cellfinder.org","name":"semantic body browser"},{"url":"http://cellfinder.org/analysis/compare","name":"Compare Tool"},{"url":"http://cellfinder.org/analysis/marker","name":"Marker Tool"}],"deprecation_date":"2023-03-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000188","bsg-d000188"],"name":"FAIRsharing record for: CellFinder","abbreviation":"CellFinder","url":"https://fairsharing.org/10.25504/FAIRsharing.mt6057","doi":"10.25504/FAIRsharing.mt6057","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CellFinder maps validated gene and protein expression, phenotype and images related to cell types.The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12622}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Cell","Image","Curated information","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1397,"pubmed_id":23599415,"title":"Preliminary evaluation of the CellFinder literature curation pipeline for gene expression in kidney cells and anatomical parts.","year":2013,"url":"http://doi.org/10.1093/database/bat020","authors":"Neves M, Damaschun A, Mah N, Lekschas F, Seltmann S, Stachelscheid H, Fontaine JF, Kurtz A, Leser U.","journal":"Database","doi":"10.1093/database/bat020","created_at":"2021-09-30T08:24:56.185Z","updated_at":"2021-09-30T08:24:56.185Z"},{"id":1398,"pubmed_id":24304896,"title":"CellFinder: a cell data repository.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1264","authors":"Stachelscheid H,Seltmann S,Lekschas F,Fontaine JF,Mah N,Neves M,Andrade-Navarro MA,Leser U,Kurtz A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1264","created_at":"2021-09-30T08:24:56.290Z","updated_at":"2021-09-30T11:29:07.770Z"},{"id":1420,"pubmed_id":25344497,"title":"Semantic Body Browser: graphical exploration of an organism and spatially resolved expression data visualization.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu707","authors":"Lekschas F,Stachelscheid H,Seltmann S,Kurtz A","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu707","created_at":"2021-09-30T08:24:58.720Z","updated_at":"2021-09-30T08:24:58.720Z"}],"licence_links":[{"licence_name":"Cell Finder Copyright","licence_id":116,"licence_url":"http://cellfinder.de/contact/disclaimer/","link_id":169,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":170,"relation":"undefined"}],"grants":[{"id":615,"fairsharing_record_id":1731,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:38.022Z","updated_at":"2021-09-30T09:29:15.377Z","grant_id":161,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"LE 1428/3-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":614,"fairsharing_record_id":1731,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:37.984Z","updated_at":"2021-09-30T09:30:49.772Z","grant_id":890,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"334502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8230,"fairsharing_record_id":1731,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:31:39.065Z","updated_at":"2021-09-30T09:31:39.118Z","grant_id":1267,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"KU 851/3-1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1732","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:42:36.925Z","metadata":{"doi":"10.25504/FAIRsharing.fgj73t","name":"Monosaccharide Database","status":"deprecated","contacts":[{"contact_name":"Thomas Lutteke","contact_email":"Thomas.Luetteke@vetmed.uni-giessen.de"}],"homepage":"http://www.monosaccharidedb.org/","citations":[],"identifier":1732,"description":"Database on carbohydrate building blocks / residues (monosaccharides). Provides various kinds of residue data, especially notation information.","abbreviation":"MonosaccharideDB","data_curation":{},"support_links":[{"url":"https://groups.google.com/forum/#!forum/eurocarb-users","type":"Forum"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2024-03-20","deprecation_reason":"This resource is no longer available, however the owner has indicated it may become available again in future. Please get in touch if you have any information about this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000189","bsg-d000189"],"name":"FAIRsharing record for: Monosaccharide Database","abbreviation":"MonosaccharideDB","url":"https://fairsharing.org/10.25504/FAIRsharing.fgj73t","doi":"10.25504/FAIRsharing.fgj73t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database on carbohydrate building blocks / residues (monosaccharides). Provides various kinds of residue data, especially notation information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Carbohydrate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":616,"fairsharing_record_id":1732,"organisation_id":1618,"relation":"maintains","created_at":"2021-09-30T09:24:38.059Z","updated_at":"2021-09-30T09:24:38.059Z","grant_id":null,"is_lead":false,"saved_state":{"id":1618,"name":"Justus-Liebig University Giessen, Giessen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":617,"fairsharing_record_id":1732,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:24:38.101Z","updated_at":"2021-09-30T09:28:54.867Z","grant_id":13,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"011952","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11851,"fairsharing_record_id":1732,"organisation_id":1118,"relation":"maintains","created_at":"2024-06-27T12:38:48.830Z","updated_at":"2024-06-27T12:38:48.830Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1733","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-05-05T09:42:19.463Z","metadata":{"doi":"10.25504/FAIRsharing.tfvd5r","name":"Glycosciences.de DB","status":"deprecated","contacts":[{"contact_name":"Thomas Lutteke","contact_email":"thomas.luetteke@vetmed.uni-giessen.de","contact_orcid":"0000-0002-7140-9933"}],"homepage":"http://www.glycosciences.de/database/","citations":[],"identifier":1733,"description":"Glycan database with focus on carbohydrate 3D structures","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"not found","deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000190","bsg-d000190"],"name":"FAIRsharing record for: Glycosciences.de DB","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tfvd5r","doi":"10.25504/FAIRsharing.tfvd5r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Glycan database with focus on carbohydrate 3D structures","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Carbohydrate","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":161,"pubmed_id":16239495,"title":"GLYCOSCIENCES.de: an Internet portal to support glycomics and glycobiology research.","year":2005,"url":"http://doi.org/10.1093/glycob/cwj049","authors":"Lütteke T, Bohne-Lang A, Loss A, Goetz T, Frank M, von der Lieth CW.","journal":"Glycobiology","doi":"10.1093/glycob/cwj049","created_at":"2021-09-30T08:22:37.749Z","updated_at":"2021-09-30T08:22:37.749Z"}],"licence_links":[],"grants":[{"id":621,"fairsharing_record_id":1733,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:38.301Z","updated_at":"2021-09-30T09:24:38.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":620,"fairsharing_record_id":1733,"organisation_id":1618,"relation":"maintains","created_at":"2021-09-30T09:24:38.259Z","updated_at":"2021-09-30T09:24:38.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":1618,"name":"Justus-Liebig University Giessen, Giessen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1734","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:13.417Z","metadata":{"doi":"10.25504/FAIRsharing.bc23s","name":"GlycoProtDB","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"jcggdb-ml@aist.go.jp"}],"homepage":"https://acgg.asia/db/gpdb/","citations":[],"identifier":1734,"description":"GlycoProtDB is a glycoprotein database providing information of Asn (N)-glycosylated proteins and their glycosylated site(s), which were constructed by employing a bottom-up strategy using actual glycopeptide sequences identified by LC/MS-based glycoproteomic technologies. The database is searchable using gene ID, gene name, and its description (protein name) as query. Each data sheet of glycproteins is based on a single amino acid sequence in Wormpep database for C.elegans and NCBI Refseq database for mouse. The sheet presents actually detected N-glycosylation site(s) which are displayed each capturing methods of glycopeptide subset, e.g., lectins Concanavalin A, wheat germ agglutinin (WGA), or HILIC (hydrophilic interaction chromatography), as well as potential N-glycosylation sites (NX[STC], X≠P). Protein sequences, which have common glycopeptide sequence(s), are linked each other.","abbreviation":"GPDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://acgg.asia/db/gpdb/index?doc_no=7","name":"Data Information","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000191","bsg-d000191"],"name":"FAIRsharing record for: GlycoProtDB","abbreviation":"GPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bc23s","doi":"10.25504/FAIRsharing.bc23s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoProtDB is a glycoprotein database providing information of Asn (N)-glycosylated proteins and their glycosylated site(s), which were constructed by employing a bottom-up strategy using actual glycopeptide sequences identified by LC/MS-based glycoproteomic technologies. The database is searchable using gene ID, gene name, and its description (protein name) as query. Each data sheet of glycproteins is based on a single amino acid sequence in Wormpep database for C.elegans and NCBI Refseq database for mouse. The sheet presents actually detected N-glycosylation site(s) which are displayed each capturing methods of glycopeptide subset, e.g., lectins Concanavalin A, wheat germ agglutinin (WGA), or HILIC (hydrophilic interaction chromatography), as well as potential N-glycosylation sites (NX[STC], X≠P). Protein sequences, which have common glycopeptide sequence(s), are linked each other.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Glycomics"],"domains":["Mass spectrum","Chromatography","Protein"],"taxonomies":["Caenorhabditis elegans","Mus musculus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":199,"pubmed_id":22823882,"title":"Large-scale Identification of N-Glycosylated Proteins of Mouse Tissues and Construction of a Glycoprotein Database, GlycoProtDB","year":2012,"url":"http://doi.org/10.1021/pr300346c","authors":"Kaji H. et al","journal":"Journal of Proteome","doi":"10.1021/pr300346c","created_at":"2021-09-30T08:22:41.772Z","updated_at":"2021-09-30T08:22:41.772Z"}],"licence_links":[{"licence_name":"Attribution-NonCommercial-ShareAlike 2.1 Japan (CC BY-NC-SA 2.1 JP)","licence_id":887,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.1/jp/deed.en","link_id":2493,"relation":"applies_to_content"}],"grants":[{"id":624,"fairsharing_record_id":1734,"organisation_id":2147,"relation":"maintains","created_at":"2021-09-30T09:24:38.413Z","updated_at":"2021-09-30T09:24:38.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":2147,"name":"New Energy and Industrial Technology Development Organization","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":622,"fairsharing_record_id":1734,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:38.343Z","updated_at":"2021-09-30T09:24:38.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":623,"fairsharing_record_id":1734,"organisation_id":2007,"relation":"maintains","created_at":"2021-09-30T09:24:38.381Z","updated_at":"2021-09-30T09:24:38.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":625,"fairsharing_record_id":1734,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:24:38.468Z","updated_at":"2021-09-30T09:24:38.468Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1735","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:02.934Z","metadata":{"doi":"10.25504/FAIRsharing.d50fb5","name":"Encyclopedia of Hepatocellular Carcinome Genes Online II","status":"deprecated","contacts":[{"contact_email":"woody@iis.sinica.edu.tw"}],"homepage":"http://ehco.iis.sinica.edu.tw/","identifier":1735,"description":"The Encyclopedia of Hepatocellular Carcinoma genes Online, dubbed EHCO, was built to systematically collect, organize and compare the pileup of unsorted HCC-related studies by using natural language processing and softbots.","abbreviation":"EHCO II","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2015-09-01","deprecation_reason":"Database no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000192","bsg-d000192"],"name":"FAIRsharing record for: Encyclopedia of Hepatocellular Carcinome Genes Online II","abbreviation":"EHCO II","url":"https://fairsharing.org/10.25504/FAIRsharing.d50fb5","doi":"10.25504/FAIRsharing.d50fb5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Encyclopedia of Hepatocellular Carcinoma genes Online, dubbed EHCO, was built to systematically collect, organize and compare the pileup of unsorted HCC-related studies by using natural language processing and softbots.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Life Science"],"domains":["Expression data","Classification","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":2708,"pubmed_id":17326819,"title":"Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (Encyclopedia of Hepatocellular Carcinoma genes Online).","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-66","authors":"Hsu CN., Lai JM., Liu CH., Tseng HH., Lin CY., Lin KT., Yeh HH., Sung TY., Hsu WL., Su LJ., Lee SA., Chen CH., Lee GC., Lee DT., Shiue YL., Yeh CW., Chang CH., Kao CY., Huang CY.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-66","created_at":"2021-09-30T08:27:32.588Z","updated_at":"2021-09-30T08:27:32.588Z"}],"licence_links":[],"grants":[{"id":627,"fairsharing_record_id":1735,"organisation_id":16,"relation":"maintains","created_at":"2021-09-30T09:24:38.543Z","updated_at":"2021-09-30T09:24:38.543Z","grant_id":null,"is_lead":false,"saved_state":{"id":16,"name":"Academia Sinica, China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":626,"fairsharing_record_id":1735,"organisation_id":1873,"relation":"funds","created_at":"2021-09-30T09:24:38.506Z","updated_at":"2021-09-30T09:30:47.107Z","grant_id":869,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC95-2320-B-400-009-MY3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1736","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:05.010Z","metadata":{"doi":"10.25504/FAIRsharing.jm8fzm","name":"Human Endogenous Retrovirus database","status":"ready","contacts":[{"contact_name":"Jan Pačes","contact_email":"hpaces@img.cas.cz","contact_orcid":"0000-0003-3059-6127"}],"homepage":"https://herv.img.cas.cz","citations":[],"identifier":1736,"description":"This database is compiled from the human genome nucleotide sequences obtained mostly in the Human Genome Projects. The database makes it possible to continuously improve classification and characterization of retroviral families. The HERV database now contains retroviruses from more than 90 % of the human genome.","abbreviation":"HERVd","data_curation":{"url":"https://herv.img.cas.cz/about","type":"manual"},"support_links":[{"url":"https://herv.img.cas.cz/about","name":"Contact","type":"Contact form"},{"url":"https://herv.img.cas.cz/help","name":"Help Pages","type":"Help documentation"},{"url":"https://herv.img.cas.cz/stats","name":"Statistics","type":"Help documentation"},{"url":"https://herv.img.cas.cz/about","name":"About the database","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"https://herv.img.cas.cz/selection_pressures","name":"Selection pressures"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000193","bsg-d000193"],"name":"FAIRsharing record for: Human Endogenous Retrovirus database","abbreviation":"HERVd","url":"https://fairsharing.org/10.25504/FAIRsharing.jm8fzm","doi":"10.25504/FAIRsharing.jm8fzm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is compiled from the human genome nucleotide sequences obtained mostly in the Human Genome Projects. The database makes it possible to continuously improve classification and characterization of retroviral families. The HERV database now contains retroviruses from more than 90 % of the human genome.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11328},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12159}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Deoxyribonucleic acid","Classification","Retrotransposon","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":248,"pubmed_id":11752294,"title":"HERVd: database of human endogenous retroviruses.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.205","authors":"Paces J., Pavlícek A., Paces V.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.205","created_at":"2021-09-30T08:22:46.822Z","updated_at":"2021-09-30T08:22:46.822Z"},{"id":270,"pubmed_id":14681356,"title":"HERVd: the Human Endogenous RetroViruses Database: update.","year":2003,"url":"http://doi.org/10.1093/nar/gkh075","authors":"Paces J., Pavlícek A., Zika R., Kapitonov VV., Jurka J., Paces V.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh075","created_at":"2021-09-30T08:22:49.165Z","updated_at":"2021-09-30T08:22:49.165Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1394,"relation":"undefined"}],"grants":[{"id":628,"fairsharing_record_id":1736,"organisation_id":1431,"relation":"maintains","created_at":"2021-09-30T09:24:38.584Z","updated_at":"2021-09-30T09:24:38.584Z","grant_id":null,"is_lead":true,"saved_state":{"id":1431,"name":"Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Czech Republic","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1741","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:44:58.215Z","metadata":{"doi":"10.25504/FAIRsharing.w2cepp","name":"Assembling the Fungal Tree of Life","status":"deprecated","contacts":[{"contact_name":"Joseph Spatafora","contact_email":"spatafoj@science.oregonstate.edu","contact_orcid":"0000-0002-7183-1384"}],"homepage":"http://aftol.org","citations":[],"identifier":1741,"description":"The Assembling the Fungal Tree of Life (AFTOL) project is dedicated to significantly enhancing our understanding of the evolution of the Kingdom Fungi, which represents one of the major clades of life.","abbreviation":"AFTOL","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://aftol.org/howtosubmit.php","name":"submit"},{"url":"http://wasabi.lutzonilab.net/pub/blast/blastUpload","name":"BLAST"},{"url":"http://aftol.org/howtosubmit.php","name":"submit"},{"url":"http://wasabi.lutzonilab.net/pub/blast/blastUpload","name":"BLAST"}],"deprecation_date":"2021-10-04","deprecation_reason":"AFTOL has been decommissioned. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000199","bsg-d000199"],"name":"FAIRsharing record for: Assembling the Fungal Tree of Life","abbreviation":"AFTOL","url":"https://fairsharing.org/10.25504/FAIRsharing.w2cepp","doi":"10.25504/FAIRsharing.w2cepp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Assembling the Fungal Tree of Life (AFTOL) project is dedicated to significantly enhancing our understanding of the evolution of the Kingdom Fungi, which represents one of the major clades of life.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Classification"],"taxonomies":["Fungi"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1581,"pubmed_id":17486962,"title":"Assembling the Fungal Tree of Life: constructing the structural and biochemical database.","year":2007,"url":"http://doi.org/10.3852/mycologia.98.6.850","authors":"Celio GJ,Padamsee M,Dentinger BT,Bauer R,McLaughlin DJ","journal":"Mycologia","doi":"10.3852/mycologia.98.6.850","created_at":"2021-09-30T08:25:17.236Z","updated_at":"2021-09-30T08:25:17.236Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":186,"relation":"undefined"}],"grants":[{"id":637,"fairsharing_record_id":1741,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:38.846Z","updated_at":"2021-09-30T09:24:38.846Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":638,"fairsharing_record_id":1741,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:38.869Z","updated_at":"2021-09-30T09:24:38.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1742","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:36:41.387Z","metadata":{"doi":"10.25504/FAIRsharing.kn4ycg","name":"AgBase","status":"deprecated","contacts":[{"contact_name":"Fiona M. McCarthy","contact_email":"fmccarthy@cvm.msstate.edu"}],"homepage":"http://www.agbase.msstate.edu/","identifier":1742,"description":"AgBase is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products.","abbreviation":"AgBase","data_curation":{"type":"not found"},"support_links":[{"url":"agbase@hpc.msstate.edu","type":"Support email"},{"url":"http://www.agbase.msstate.edu/cgi-bin/help/index.pl","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"http://www.agbase.msstate.edu/cgi-bin/generateBlastPage.pl","name":"BLAST"},{"url":"http://www.agbase.msstate.edu/cgi-bin/tools/index.cgi","name":"AgBase Tools"}],"deprecation_date":"2021-9-17","deprecation_reason":"AgBase became Host Pathogen Interaction Database, and therefore this record has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000200","bsg-d000200"],"name":"FAIRsharing record for: AgBase","abbreviation":"AgBase","url":"https://fairsharing.org/10.25504/FAIRsharing.kn4ycg","doi":"10.25504/FAIRsharing.kn4ycg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AgBase is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11616}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Agriculture","Life Science"],"domains":["Annotation","Animal research","Gene"],"taxonomies":["Metazoa","Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":256,"pubmed_id":21075795,"title":"AgBase: supporting functional modeling in agricultural organisms.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1115","authors":"McCarthy FM., Gresham CR., Buza TJ., Chouvarine P., Pillai LR., Kumar R., Ozkan S., Wang H., Manda P., Arick T., Bridges SM., Burgess SC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1115","created_at":"2021-09-30T08:22:47.624Z","updated_at":"2021-09-30T08:22:47.624Z"}],"licence_links":[],"grants":[{"id":641,"fairsharing_record_id":1742,"organisation_id":44,"relation":"funds","created_at":"2021-09-30T09:24:38.946Z","updated_at":"2021-09-30T09:29:44.234Z","grant_id":379,"is_lead":false,"saved_state":{"id":44,"name":"Agriculture and Food Research Initiative (AFRI), National Institute of Food and Agriculture, Washington, DC, USA","grant":"MISV-329140","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":642,"fairsharing_record_id":1742,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:38.969Z","updated_at":"2021-09-30T09:30:08.255Z","grant_id":567,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"MIS-241080","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":640,"fairsharing_record_id":1742,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:38.919Z","updated_at":"2021-09-30T09:32:24.078Z","grant_id":1603,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"07111084","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7993,"fairsharing_record_id":1742,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:30:17.627Z","updated_at":"2021-09-30T09:30:17.685Z","grant_id":641,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"6402-21000-033-01S","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8415,"fairsharing_record_id":1742,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:32:32.410Z","updated_at":"2021-09-30T09:32:32.465Z","grant_id":1666,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"MIS-069270","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1743","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:37.110Z","metadata":{"doi":"10.25504/FAIRsharing.1bnhyh","name":"Databases of Orthologous Promoters","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"doop@abc.hu"}],"homepage":"http://doop.abc.hu/","identifier":1743,"description":"DoOP is a database of eukaryotic promoter sequences (upstream regions), aiming to facilitate the recognition of regulatory sites conserved between species. Based on the Arabidopsis thaliana and Homo sapiens genome annotation, this resource is also a collection of the orthologous promoter sequences from Viridiplantae and Chordata species. The database can be used to find promoter clusters of different genes as well as positions of the conserved regions and transcription start sites, which can be viewed graphically.","abbreviation":"DoOP","data_curation":{"type":"not found"},"support_links":[{"url":"http://doop.abc.hu/creation.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://doop.abc.hu/creation.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000201","bsg-d000201"],"name":"FAIRsharing record for: Databases of Orthologous Promoters","abbreviation":"DoOP","url":"https://fairsharing.org/10.25504/FAIRsharing.1bnhyh","doi":"10.25504/FAIRsharing.1bnhyh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DoOP is a database of eukaryotic promoter sequences (upstream regions), aiming to facilitate the recognition of regulatory sites conserved between species. Based on the Arabidopsis thaliana and Homo sapiens genome annotation, this resource is also a collection of the orthologous promoter sequences from Viridiplantae and Chordata species. The database can be used to find promoter clusters of different genes as well as positions of the conserved regions and transcription start sites, which can be viewed graphically.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Promoter","Orthologous"],"taxonomies":["Arabidopsis thaliana","Chordata","Homo sapiens","Viridiplantae"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":289,"pubmed_id":15608291,"title":"DoOP: Databases of Orthologous Promoters, collections of clusters of orthologous upstream sequences from chordates and plants.","year":2004,"url":"http://doi.org/10.1093/nar/gki097","authors":"Barta E., Sebestyén E., Pálfy TB., Tóth G., Ortutay CP., Patthy L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki097","created_at":"2021-09-30T08:22:51.132Z","updated_at":"2021-09-30T08:22:51.132Z"},{"id":1582,"pubmed_id":19534755,"title":"DoOPSearch: a web-based tool for finding and analysing common conserved motifs in the promoter regions of different chordate and plant genes.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-S6-S6","authors":"Sebestyen E,Nagy T,Suhai S,Barta E","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-S6-S6","created_at":"2021-09-30T08:25:17.345Z","updated_at":"2021-09-30T08:25:17.345Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":200,"relation":"undefined"}],"grants":[{"id":646,"fairsharing_record_id":1743,"organisation_id":1286,"relation":"funds","created_at":"2021-09-30T09:24:39.084Z","updated_at":"2021-09-30T09:24:39.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":1286,"name":"Hungarian Ministry of Rural Development, Hungary","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":644,"fairsharing_record_id":1743,"organisation_id":40,"relation":"maintains","created_at":"2021-09-30T09:24:39.030Z","updated_at":"2021-09-30T09:24:39.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":40,"name":"Agricultural Biotechnology Center, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":645,"fairsharing_record_id":1743,"organisation_id":1285,"relation":"funds","created_at":"2021-09-30T09:24:39.054Z","updated_at":"2021-09-30T09:24:39.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":1285,"name":"Hungarian Ministry of Agriculture, Hungary","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":647,"fairsharing_record_id":1743,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:24:39.126Z","updated_at":"2021-09-30T09:29:02.910Z","grant_id":71,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"NK72730","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8123,"fairsharing_record_id":1743,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:31:04.372Z","updated_at":"2021-09-30T09:31:04.429Z","grant_id":1003,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"NK60352","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1744","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:12.085Z","metadata":{"doi":"10.25504/FAIRsharing.6v2d2h","name":"The Arabidopsis Gene Regulatory Information Server","status":"ready","contacts":[{"contact_name":"Erich Grotewold","contact_email":"grotewold.agris@gmail.com"}],"homepage":"https://agris-knowledgebase.org/","citations":[],"identifier":1744,"description":"The Arabidopsis Gene Regulatory Information Server (AGRIS) is a information resource of Arabidopsis promoter sequences, transcription factors and their target genes. AGRIS currently contains two databases, AtcisDB (Arabidopsis thaliana cis-regulatory database) and AtTFDB (Arabidopsis thaliana transcription factor database). The two databases, used in tandem, provide a powerful tool for use in continuous research.","abbreviation":"AGRIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://agris-knowledgebase.org/AtcisDB/AtcisDBHelp.html","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000202","bsg-d000202"],"name":"FAIRsharing record for: The Arabidopsis Gene Regulatory Information Server","abbreviation":"AGRIS","url":"https://fairsharing.org/10.25504/FAIRsharing.6v2d2h","doi":"10.25504/FAIRsharing.6v2d2h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arabidopsis Gene Regulatory Information Server (AGRIS) is a information resource of Arabidopsis promoter sequences, transcription factors and their target genes. AGRIS currently contains two databases, AtcisDB (Arabidopsis thaliana cis-regulatory database) and AtTFDB (Arabidopsis thaliana transcription factor database). The two databases, used in tandem, provide a powerful tool for use in continuous research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany"],"domains":["Biological regulation","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1393,"pubmed_id":21059685,"title":"AGRIS: the Arabidopsis Gene Regulatory Information Server, an update.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1120","authors":"Yilmaz A., Mejia-Guerra MK., Kurz K., Liang X., Welch L., Grotewold E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1120","created_at":"2021-09-30T08:24:55.702Z","updated_at":"2021-09-30T08:24:55.702Z"}],"licence_links":[],"grants":[{"id":651,"fairsharing_record_id":1744,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:39.246Z","updated_at":"2021-09-30T09:32:30.395Z","grant_id":1651,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5 T32 CA106196-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":648,"fairsharing_record_id":1744,"organisation_id":2237,"relation":"maintains","created_at":"2021-09-30T09:24:39.165Z","updated_at":"2021-09-30T09:24:39.165Z","grant_id":null,"is_lead":false,"saved_state":{"id":2237,"name":"Ohio State University, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":650,"fairsharing_record_id":1744,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:39.220Z","updated_at":"2021-09-30T09:30:08.005Z","grant_id":565,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB-0418891","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1745","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T12:28:42.734Z","metadata":{"doi":"10.25504/FAIRsharing.efp5v2","name":"Animal Genome Size Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"database@genomesize.com"},{"contact_name":"T. Ryan Gregory","contact_email":"rgregory@uoguelph.ca","contact_orcid":"0000-0001-7900-7501"}],"homepage":"https://www.genomesize.com/","citations":[],"identifier":1745,"description":"A comprehensive catalogue of animal genome size data where haploid DNA contents (C-values, in picograms) are currently available for 4972 species (3231 vertebrates and 1741 non-vertebrates) based on 6518 records from 669 published sources.","abbreviation":"AGSD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.genomesize.com/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.genomesize.com/statistics.php","name":"Statistics","type":"Other"},{"url":"https://en.wikipedia.org/wiki/Animal_Genome_Size_Database","type":"Wikipedia"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012517","name":"re3data:r3d100012517","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007551","name":"SciCrunch:RRID:SCR_007551","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.genomesize.com/submit_data.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000203","bsg-d000203"],"name":"FAIRsharing record for: Animal Genome Size Database","abbreviation":"AGSD","url":"https://fairsharing.org/10.25504/FAIRsharing.efp5v2","doi":"10.25504/FAIRsharing.efp5v2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive catalogue of animal genome size data where haploid DNA contents (C-values, in picograms) are currently available for 4972 species (3231 vertebrates and 1741 non-vertebrates) based on 6518 records from 669 published sources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":607,"pubmed_id":17090588,"title":"Eukaryotic genome size databases","year":2006,"url":"http://doi.org/10.1093/nar/gkl828","authors":"Gregory TR, Nicol JA, Tamm H, Kullman B, Kullman K, Leitch IJ, Murray BG, Kapraun DF, Greilhuber J, Bennett MD.","journal":"Nucleic Acids Research 35 (Database issue): D332-D338.","doi":"10.1093/nar/gkl828","created_at":"2021-09-30T08:23:26.578Z","updated_at":"2021-09-30T08:23:26.578Z"}],"licence_links":[{"licence_name":"AGSD Academic use, No commercial use, no derivatives without permission","licence_id":21,"licence_url":"http://www.genomesize.com","link_id":2309,"relation":"undefined"}],"grants":[{"id":654,"fairsharing_record_id":1745,"organisation_id":3060,"relation":"maintains","created_at":"2021-09-30T09:24:39.325Z","updated_at":"2021-09-30T09:24:39.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":3060,"name":"University of Guelph","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":652,"fairsharing_record_id":1745,"organisation_id":229,"relation":"maintains","created_at":"2021-09-30T09:24:39.270Z","updated_at":"2024-04-17T10:54:32.192Z","grant_id":null,"is_lead":true,"saved_state":{"id":229,"name":"Biodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1746","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-17T16:58:35.159Z","metadata":{"doi":"10.25504/FAIRsharing.w6cxgb","name":"Allergome","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"allergome@allergome.org"}],"homepage":"http://www.allergome.org/","citations":[],"identifier":1746,"description":"Allergome aims to supply information on Allergenic Molecules (Allergens) causing an IgE-mediated (allergic, atopic) disease (anaphylaxis, asthma, atopic dermatitis, conjunctivitis, rhinitis, urticaria). The resource is funded through the Allergen Data Laboratories via unrestricted grants from companies and institutions.","abbreviation":"Allergome","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.allergome.org/script/help.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"http://www.allergome.org/script/search_step1.php?clear=1","name":"search"},{"url":"http://www.allergome.org/script/search_advanced_step1.php?clear=1","name":"advanced search"},{"url":"http://www.allergome.org/script/tools.php?tool=blaster","name":"BLAST"},{"url":"http://www.allergome.org/script/search_step1.php?clear=1","name":"search"},{"url":"http://www.allergome.org/script/search_advanced_step1.php?clear=1","name":"advanced search"},{"url":"http://www.allergome.org/script/tools.php?tool=blaster","name":"BLAST"}],"data_access_condition":{"url":"http://www.allergome.org/script/tools.php","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000204","bsg-d000204"],"name":"FAIRsharing record for: Allergome","abbreviation":"Allergome","url":"https://fairsharing.org/10.25504/FAIRsharing.w6cxgb","doi":"10.25504/FAIRsharing.w6cxgb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Allergome aims to supply information on Allergenic Molecules (Allergens) causing an IgE-mediated (allergic, atopic) disease (anaphylaxis, asthma, atopic dermatitis, conjunctivitis, rhinitis, urticaria). The resource is funded through the Allergen Data Laboratories via unrestricted grants from companies and institutions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Medicine","Health Science","Life Science","Biomedical Science"],"domains":["Allergen","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":286,"pubmed_id":17393720,"title":"Allergome: a unifying platform.","year":2007,"url":"https://www.ncbi.nlm.nih.gov/pubmed/17393720","authors":"Mari A., Scala E.,","journal":"Arb Paul Ehrlich Inst Bundesamt Sera Impfstoffe Frankf A M","doi":null,"created_at":"2021-09-30T08:22:50.827Z","updated_at":"2021-09-30T08:22:50.827Z"},{"id":1583,"pubmed_id":17434469,"title":"Bioinformatics applied to allergy: allergen databases, from collecting sequence information to data integration. The Allergome platform as a model.","year":2007,"url":"http://doi.org/10.1016/j.cellimm.2007.02.012","authors":"Mari A,Scala E,Palazzo P,Ridolfi S,Zennaro D,Carabella G","journal":"Cell Immunol","doi":"10.1016/j.cellimm.2007.02.012","created_at":"2021-09-30T08:25:17.453Z","updated_at":"2021-09-30T08:25:17.453Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic (CC BY-NC-SA 2.5)","licence_id":181,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.5/","link_id":180,"relation":"undefined"}],"grants":[{"id":656,"fairsharing_record_id":1746,"organisation_id":63,"relation":"maintains","created_at":"2021-09-30T09:24:39.398Z","updated_at":"2021-09-30T09:24:39.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":63,"name":"Allergy Data Laboratories s.c., Italy","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1747","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:53.573Z","metadata":{"doi":"10.25504/FAIRsharing.5gjjsg","name":"Chemical Abstracts Service Registry","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"help@cas.org"}],"homepage":"https://www.cas.org/cas-data/cas-registry","citations":[],"identifier":1747,"description":"The CAS (Chemical Abstracts Service) Registry is the CAS substance collection, and is a division of the American Chemical Society and contains databases of chemical information. CAS Registry Numbers (often referred to as CAS RNs or CAS Numbers) are universally used to provide a unique, unmistakable identifier for chemical substances. A CAS Registry Number itself has no inherent chemical significance but provides an unambiguous way to identify a chemical substance or molecular structure when there are many possible systematic, generic, proprietary or trivial names.","abbreviation":"CAS Registry","data_curation":{"url":"https://www.cas.org/cas-data","type":"manual","notes":"The CAS Content Collection is the largest human-curated collection of scientific data in the world."},"support_links":[{"url":"https://www.cas.org/contact","type":"Contact form"},{"url":"https://www.cas.org/about/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.cas.org/training/scifinder","type":"Training documentation"},{"url":"http://www.cas.org/training/stn","type":"Training documentation"},{"url":"https://twitter.com/CASChemistry","type":"Twitter"}],"year_creation":1956,"data_versioning":"not found","data_access_condition":{"url":"https://www.cas.org/about/faqs","type":"partially open","notes":"There are some databases that are open but others are not open."},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cas.org/about/faqs","type":"controlled","notes":"Our selection team of chemists determines whether a journal meets our editorial criteria for abstracting and indexing in the CAS databases."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000205","bsg-d000205"],"name":"FAIRsharing record for: Chemical Abstracts Service Registry","abbreviation":"CAS Registry","url":"https://fairsharing.org/10.25504/FAIRsharing.5gjjsg","doi":"10.25504/FAIRsharing.5gjjsg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CAS (Chemical Abstracts Service) Registry is the CAS substance collection, and is a division of the American Chemical Society and contains databases of chemical information. CAS Registry Numbers (often referred to as CAS RNs or CAS Numbers) are universally used to provide a unique, unmistakable identifier for chemical substances. A CAS Registry Number itself has no inherent chemical significance but provides an unambiguous way to identify a chemical substance or molecular structure when there are many possible systematic, generic, proprietary or trivial names.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11768}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry"],"domains":["Molecular structure","Chemical entity","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"CAS Information Use Policies","licence_id":103,"licence_url":"http://www.cas.org/legal/infopolicy","link_id":181,"relation":"undefined"}],"grants":[{"id":657,"fairsharing_record_id":1747,"organisation_id":73,"relation":"maintains","created_at":"2021-09-30T09:24:39.421Z","updated_at":"2023-04-26T11:03:20.606Z","grant_id":null,"is_lead":true,"saved_state":{"id":73,"name":"American Chemical Society, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1748","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:05.625Z","metadata":{"doi":"10.25504/FAIRsharing.jp89d1","name":"Evolutionary Annotation Database","status":"deprecated","contacts":[],"homepage":"http://www.h-invitational.jp/evola/search.html","citations":[],"identifier":1748,"description":"Evola contains ortholog information of all human genes among vertebrates. Orthologs are a pair of genes in different species that evolved from a common ancestral gene by speciation. In Evola, orthologs were detected by comparative genomics and amino acid sequence analysis (Computational analysis).","abbreviation":"Evola","data_curation":{"url":"http://www.h-invitational.jp/hinv/help/help_Evola.html","type":"manual/automated","notes":"Manual curation and computational analysis"},"support_links":[{"url":"hinvdb@ml.u-tokai.ac.jp","type":"Support email"},{"url":"http://www.h-invitational.jp/hinv/help/contents6/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.h-invitational.jp/hinv/help/help_Evola.html","name":"Help","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000206","bsg-d000206"],"name":"FAIRsharing record for: Evolutionary Annotation Database","abbreviation":"Evola","url":"https://fairsharing.org/10.25504/FAIRsharing.jp89d1","doi":"10.25504/FAIRsharing.jp89d1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Evola contains ortholog information of all human genes among vertebrates. Orthologs are a pair of genes in different species that evolved from a common ancestral gene by speciation. In Evola, orthologs were detected by comparative genomics and amino acid sequence analysis (Computational analysis).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12623}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science","Comparative Genomics"],"domains":["Amino acid sequence","Orthologous","Genome"],"taxonomies":["Homo sapiens","Vertebrata"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":275,"pubmed_id":17982176,"title":"Evola: Ortholog database of all human genes in H-InvDB with manual curation of phylogenetic trees.","year":2007,"url":"http://doi.org/10.1093/nar/gkm878","authors":"Matsuya A., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm878","created_at":"2021-09-30T08:22:49.716Z","updated_at":"2021-09-30T08:22:49.716Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":11,"relation":"undefined"}],"grants":[{"id":658,"fairsharing_record_id":1748,"organisation_id":266,"relation":"maintains","created_at":"2021-09-30T09:24:39.452Z","updated_at":"2021-09-30T09:24:39.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":266,"name":"Biomedical Informatics Laboratory, Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1754","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:10:22.274Z","metadata":{"doi":"10.25504/FAIRsharing.pcmg8s","name":"Mammalian Protein Localization Database","status":"deprecated","contacts":[{"contact_name":"Rohan Teasdale","contact_email":"r.teasdale@imb.uq.edu.au","contact_orcid":"0000-0001-7455-5269"}],"homepage":"http://locate.imb.uq.edu.au/","identifier":1754,"description":"LOCATE is a curated database that houses data describing the membrane organization and subcellular localization of proteins from the RIKEN FANTOM4 mouse and human protein sequence set.","abbreviation":"LOCATE","data_curation":{"type":"not found"},"support_links":[{"url":"http://locate.imb.uq.edu.au/faq.shtml","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://locate.imb.uq.edu.au/advsearch.shtml","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000212","bsg-d000212"],"name":"FAIRsharing record for: Mammalian Protein Localization Database","abbreviation":"LOCATE","url":"https://fairsharing.org/10.25504/FAIRsharing.pcmg8s","doi":"10.25504/FAIRsharing.pcmg8s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LOCATE is a curated database that houses data describing the membrane organization and subcellular localization of proteins from the RIKEN FANTOM4 mouse and human protein sequence set.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Curated information","Protein"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":281,"pubmed_id":17986452,"title":"LOCATE: a mammalian protein subcellular localization database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm950","authors":"Sprenger J., Lynn Fink J., Karunaratne S., Hanson K., Hamilton NA., Teasdale RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm950","created_at":"2021-09-30T08:22:50.281Z","updated_at":"2021-09-30T08:22:50.281Z"},{"id":282,"pubmed_id":16381849,"title":"LOCATE: a mouse protein subcellular localization database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj069","authors":"Fink JL., Aturaliya RN., Davis MJ., Zhang F., Hanson K., Teasdale MS., Kai C., Kawai J., Carninci P., Hayashizaki Y., Teasdale RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj069","created_at":"2021-09-30T08:22:50.416Z","updated_at":"2021-09-30T08:22:50.416Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":187,"relation":"undefined"}],"grants":[{"id":675,"fairsharing_record_id":1754,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:24:39.965Z","updated_at":"2021-09-30T09:24:39.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1755","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:04.868Z","metadata":{"doi":"10.25504/FAIRsharing.77d397","name":"Functional Coverage of the Proteome","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"cgl@imim.es"}],"homepage":"http://cgl.imim.es/fcp/","identifier":1755,"description":"FCP is a publicly accessible web tool dedicated to analysing the current state and trends on the population of available structures along the classification schemes of enzymes and nuclear receptors, offering both graphical and quantitative data on the degree of functional coverage in that portion of the proteome by existing structures, as well as on the bias observed in the distribution of those structures among proteins.","abbreviation":"FCP","data_curation":{"type":"not found"},"support_links":[{"url":"http://cgl.imim.es/fcp/help/fullHelp.htm","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000213","bsg-d000213"],"name":"FAIRsharing record for: Functional Coverage of the Proteome","abbreviation":"FCP","url":"https://fairsharing.org/10.25504/FAIRsharing.77d397","doi":"10.25504/FAIRsharing.77d397","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FCP is a publicly accessible web tool dedicated to analysing the current state and trends on the population of available structures along the classification schemes of enzymes and nuclear receptors, offering both graphical and quantitative data on the degree of functional coverage in that portion of the proteome by existing structures, as well as on the bias observed in the distribution of those structures among proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Annotation","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":550,"pubmed_id":16705012,"title":"FCP: functional coverage of the proteome by structures.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl188","authors":"García-Serna R., Opatowski L., Mestres J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl188","created_at":"2021-09-30T08:23:20.043Z","updated_at":"2021-09-30T08:23:20.043Z"}],"licence_links":[],"grants":[{"id":676,"fairsharing_record_id":1755,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:24:39.993Z","updated_at":"2021-09-30T09:30:00.770Z","grant_id":512,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"02/3051","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":677,"fairsharing_record_id":1755,"organisation_id":166,"relation":"maintains","created_at":"2021-09-30T09:24:40.026Z","updated_at":"2021-09-30T09:24:40.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":166,"name":"Barcelona Biomedical Research Park, Barcelona, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1756","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:01:42.914Z","metadata":{"doi":"10.25504/FAIRsharing.ff7n4h","name":"Drosophila polymorphism database","status":"deprecated","contacts":[{"contact_name":"Sònia Casillas","contact_email":"sonia.casillas@uab.cat","contact_orcid":"0000-0001-8191-0062"}],"homepage":"http://dpdb.uab.es/dpdb/dpdb.asp","citations":[],"identifier":1756,"description":"Drosophila Polymorphism Database, is a secondary database designed to provide a collection of all the existing polymorphic sequences in the Drosophila genus. It allows, for the first time, the search for any polymorphic set according to different parameter values of nucleotide diversity.","abbreviation":"DPD","data_curation":{"type":"manual","notes":"Presence of curators"},"support_links":[{"url":"http://dpdb.uab.es/dpdb/help.asp","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://dpdb.uab.es/dpdb/blast.asp","name":"BLAST"}],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000214","bsg-d000214"],"name":"FAIRsharing record for: Drosophila polymorphism database","abbreviation":"DPD","url":"https://fairsharing.org/10.25504/FAIRsharing.ff7n4h","doi":"10.25504/FAIRsharing.ff7n4h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Drosophila Polymorphism Database, is a secondary database designed to provide a collection of all the existing polymorphic sequences in the Drosophila genus. It allows, for the first time, the search for any polymorphic set according to different parameter values of nucleotide diversity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism","Genome"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":283,"pubmed_id":16204116,"title":"DPDB: a database for the storage, representation and analysis of polymorphism in the Drosophila genus.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti1103","authors":"Casillas S., Petit N., Barbadilla A.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti1103","created_at":"2021-09-30T08:22:50.518Z","updated_at":"2021-09-30T08:22:50.518Z"},{"id":1600,"pubmed_id":18820438,"title":"Drosophila polymorphism database (DPDB): a portal for nucleotide polymorphism in Drosophila.","year":2008,"url":"http://doi.org/10.4161/fly.5043","authors":"Casillas S,Egea R,Petit N,Bergman CM,Barbadilla A","journal":"Fly (Austin)","doi":"10.4161/fly.5043","created_at":"2021-09-30T08:25:19.386Z","updated_at":"2021-09-30T08:25:19.386Z"}],"licence_links":[],"grants":[{"id":678,"fairsharing_record_id":1756,"organisation_id":168,"relation":"maintains","created_at":"2021-09-30T09:24:40.056Z","updated_at":"2021-09-30T09:24:40.056Z","grant_id":null,"is_lead":false,"saved_state":{"id":168,"name":"Barcelona University, Barcelona, Spain","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":679,"fairsharing_record_id":1756,"organisation_id":1851,"relation":"funds","created_at":"2021-09-30T09:24:40.086Z","updated_at":"2021-09-30T09:29:36.519Z","grant_id":323,"is_lead":false,"saved_state":{"id":1851,"name":"Ministerio de Ciencia y Tecnologia, Buenos Aires, Argentina","grant":"PB98- 0900-C02-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7907,"fairsharing_record_id":1756,"organisation_id":1851,"relation":"funds","created_at":"2021-09-30T09:29:37.883Z","updated_at":"2021-09-30T09:29:37.932Z","grant_id":334,"is_lead":false,"saved_state":{"id":1851,"name":"Ministerio de Ciencia y Tecnologia, Buenos Aires, Argentina","grant":"BES-2003-0416","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8320,"fairsharing_record_id":1756,"organisation_id":1851,"relation":"funds","created_at":"2021-09-30T09:32:04.119Z","updated_at":"2021-09-30T09:32:04.178Z","grant_id":1453,"is_lead":false,"saved_state":{"id":1851,"name":"Ministerio de Ciencia y Tecnologia, Buenos Aires, Argentina","grant":"BMC2002-01708","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1757","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-07T10:07:27.763Z","metadata":{"doi":"10.25504/FAIRsharing.4eanvm","name":"Evolutionary Trace","status":"ready","contacts":[{"contact_name":"Olivier Lichtarge","contact_email":"lichtarge@bcm.tmc.edu"}],"homepage":"http://evolution.lichtargelab.org/ETviewer","citations":[],"identifier":1757,"description":"Relative evolutionary importance of amino acids within a protein sequence.","abbreviation":null,"data_curation":{"type":"none"},"support_links":[{"url":"http://evolution.lichtargelab.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mammoth.bcm.tmc.edu/traceview/HelpDocs/ETViewerManual_2.pdf","type":"Help documentation"}],"year_creation":1995,"data_versioning":"no","associated_tools":[{"url":"http://evolution.lichtargelab.org/pyetv","name":"ET Pymol plugin"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000215","bsg-d000215"],"name":"FAIRsharing record for: Evolutionary Trace","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4eanvm","doi":"10.25504/FAIRsharing.4eanvm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Relative evolutionary importance of amino acids within a protein sequence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Evolution","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":280,"pubmed_id":22183528,"title":"Evolutionary trace for prediction and redesign of protein functional sites.","year":2011,"url":"http://doi.org/10.1007/978-1-61779-465-0_3","authors":"Wilkins A., Erdin S., Lua R., Lichtarge O.,","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-61779-465-0_3","created_at":"2021-09-30T08:22:50.191Z","updated_at":"2021-09-30T08:22:50.191Z"}],"licence_links":[],"grants":[{"id":680,"fairsharing_record_id":1757,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:24:40.128Z","updated_at":"2021-09-30T09:24:40.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":681,"fairsharing_record_id":1757,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:40.170Z","updated_at":"2021-09-30T09:29:50.945Z","grant_id":433,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"CCF-0905536","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":682,"fairsharing_record_id":1757,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:40.211Z","updated_at":"2021-09-30T09:29:27.437Z","grant_id":258,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NIH-GM066099","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8080,"fairsharing_record_id":1757,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:49.103Z","updated_at":"2021-09-30T09:30:49.155Z","grant_id":885,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM079656","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1758","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:55.049Z","metadata":{"doi":"10.25504/FAIRsharing.6e05x2","name":"Gene Disruption Project Database","status":"ready","contacts":[{"contact_name":"Karen Schulze","contact_email":"kschulze@bcm.edu"}],"homepage":"http://flypush.imgen.bcm.tmc.edu/pscreen/","identifier":1758,"description":"The GDP Database provides a public resource of gene disruptions of Drosophila genes using a single transposable element.","abbreviation":"GDP Database","data_curation":{"type":"manual","notes":"Information was curated by group of researchers from Carnegie Institution for Science and Spradling lab."},"support_links":[{"url":"http://flypush.imgen.bcm.tmc.edu/pscreen/about.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled","notes":"The web database and strain requests are being handled by Guang Lin in the Bellen lab."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000216","bsg-d000216"],"name":"FAIRsharing record for: Gene Disruption Project Database","abbreviation":"GDP Database","url":"https://fairsharing.org/10.25504/FAIRsharing.6e05x2","doi":"10.25504/FAIRsharing.6e05x2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GDP Database provides a public resource of gene disruptions of Drosophila genes using a single transposable element.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Transposable element","Gene"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":325,"pubmed_id":15238527,"title":"The BDGP gene disruption project: single transposon insertions associated with 40% of Drosophila genes.","year":2004,"url":"http://doi.org/10.1534/genetics.104.026427","authors":"Bellen HJ., Levis RW., Liao G., He Y., Carlson JW., Tsang G., Evans-Holm M., Hiesinger PR., Schulze KL., Rubin GM., Hoskins RA., Spradling AC.,","journal":"Genetics","doi":"10.1534/genetics.104.026427","created_at":"2021-09-30T08:22:54.890Z","updated_at":"2021-09-30T08:22:54.890Z"},{"id":349,"pubmed_id":21515576,"title":"The Drosophila gene disruption project: progress using transposons with distinctive site specificities.","year":2011,"url":"http://doi.org/10.1534/genetics.111.126995","authors":"Bellen HJ,Levis RW,He Y,Carlson JW,Evans-Holm M,Bae E,Kim J,Metaxakis A,Savakis C,Schulze KL,Hoskins RA,Spradling AC","journal":"Genetics","doi":"10.1534/genetics.111.126995","created_at":"2021-09-30T08:22:57.574Z","updated_at":"2021-09-30T08:22:57.574Z"},{"id":373,"pubmed_id":21985007,"title":"MiMIC: a highly versatile transposon insertion resource for engineering Drosophila melanogaster genes.","year":2011,"url":"http://doi.org/10.1038/nmeth.1662","authors":"Venken KJ,Schulze KL,Haelterman NA,Pan H,He Y,Evans-Holm M,Carlson JW,Levis RW,Spradling AC,Hoskins RA,Bellen HJ","journal":"Nat Methods","doi":"10.1038/nmeth.1662","created_at":"2021-09-30T08:23:00.100Z","updated_at":"2021-09-30T08:23:00.100Z"},{"id":376,"pubmed_id":25824290,"title":"A library of MiMICs allows tagging of genes and reversible, spatial and temporal knockdown of proteins in Drosophila.","year":2015,"url":"http://doi.org/10.7554/eLife.05338","authors":"Nagarkar-Jaiswal S,Lee PT,Campbell ME,Chen K,Anguiano-Zarate S,Gutierrez MC,Busby T,Lin WW,He Y,Schulze KL,Booth BW,Evans-Holm M,Venken KJ,Levis RW,Spradling AC,Hoskins RA,Bellen HJ","journal":"Elife","doi":"10.7554/eLife.05338","created_at":"2021-09-30T08:23:00.409Z","updated_at":"2021-09-30T08:23:00.409Z"},{"id":400,"pubmed_id":26102525,"title":"A genetic toolkit for tagging intronic MiMIC containing genes.","year":2015,"url":"http://doi.org/10.7554/eLife.08469","authors":"Nagarkar-Jaiswal S,DeLuca SZ,Lee PT,Lin WW,Pan H,Zuo Z,Lv J,Spradling AC,Bellen HJ","journal":"Elife","doi":"10.7554/eLife.08469","created_at":"2021-09-30T08:23:03.481Z","updated_at":"2021-09-30T08:23:03.481Z"}],"licence_links":[],"grants":[{"id":683,"fairsharing_record_id":1758,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:40.252Z","updated_at":"2021-09-30T09:31:12.268Z","grant_id":1062,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"2R01 GM067858","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":685,"fairsharing_record_id":1758,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:24:40.328Z","updated_at":"2021-09-30T09:24:40.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":684,"fairsharing_record_id":1758,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:40.291Z","updated_at":"2021-09-30T09:29:15.618Z","grant_id":163,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM067858","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1759","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:32:48.492Z","metadata":{"doi":"10.25504/FAIRsharing.svkzq3","name":"Non-Redundant B.subtilis database","status":"deprecated","contacts":[{"contact_email":"perriere@biomserv.univ-lyon1.fr"}],"homepage":"http://pbil.univ-lyon1.fr/nrsub/nrsub.html","citations":[],"identifier":1759,"description":"This server allows to access the complete genome of Bacillus subtilis. Additional data on gene mapping and codon usage have been added, as well as cross-references with the SWISS-PROT, ENZYME and HOBACGEN databases.","abbreviation":"NRSub","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://pbil.univ-lyon1.fr/search/query_fam.php","name":"search"},{"url":"http://pbil.univ-lyon1.fr/search/query_fam.php","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000217","bsg-d000217"],"name":"FAIRsharing record for: Non-Redundant B.subtilis database","abbreviation":"NRSub","url":"https://fairsharing.org/10.25504/FAIRsharing.svkzq3","doi":"10.25504/FAIRsharing.svkzq3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This server allows to access the complete genome of Bacillus subtilis. Additional data on gene mapping and codon usage have been added, as well as cross-references with the SWISS-PROT, ENZYME and HOBACGEN databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Gene","Genome"],"taxonomies":["Bacillus subtilis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":273,"pubmed_id":9399801,"title":"The non-redundant Bacillus subtilis (NRSub) database: update 1998.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.60","authors":"Perrière G., Gouy M., Gojobori T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/26.1.60","created_at":"2021-09-30T08:22:49.524Z","updated_at":"2021-09-30T08:22:49.524Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1749","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:56.416Z","metadata":{"doi":"10.25504/FAIRsharing.yk38tw","name":"AntWeb","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"antweb@calacademy.org"}],"homepage":"http://www.antweb.org","identifier":1749,"description":"AntWeb is a website documenting the known species of ants, with records for each species linked to their geographical distribution, life history, and includes pictures.","abbreviation":"AntWeb","data_curation":{"url":"https://www.antweb.org/curators.do?sortBy=specimenUploadCount","type":"manual"},"support_links":[{"url":"http://www.antweb.org/antblog/","type":"Blog/News"},{"url":"http://www.antweb.org/user_guide.jsp","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.antweb.org/documentation.do","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000207","bsg-d000207"],"name":"FAIRsharing record for: AntWeb","abbreviation":"AntWeb","url":"https://fairsharing.org/10.25504/FAIRsharing.yk38tw","doi":"10.25504/FAIRsharing.yk38tw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AntWeb is a website documenting the known species of ants, with records for each species linked to their geographical distribution, life history, and includes pictures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Life Science"],"domains":["Image","Classification"],"taxonomies":["Formicidae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":294,"pubmed_id":12867945,"title":"Ants join online colony to boost conservation efforts.","year":2003,"url":"http://doi.org/10.1038/424242b","authors":"Dalton R.,","journal":"Nature","doi":"10.1038/424242b","created_at":"2021-09-30T08:22:51.642Z","updated_at":"2021-09-30T08:22:51.642Z"}],"licence_links":[{"licence_name":"California Academy of Sciences Terms and Conditions of Use","licence_id":90,"licence_url":"https://www.calacademy.org/terms-of-use","link_id":184,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":336,"relation":"undefined"}],"grants":[{"id":659,"fairsharing_record_id":1749,"organisation_id":338,"relation":"maintains","created_at":"2021-09-30T09:24:39.494Z","updated_at":"2021-09-30T09:24:39.494Z","grant_id":null,"is_lead":false,"saved_state":{"id":338,"name":"California Academy of Sciences, San Francisco, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8141,"fairsharing_record_id":1749,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:10.247Z","updated_at":"2021-09-30T09:31:10.306Z","grant_id":1050,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EF-0431330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8291,"fairsharing_record_id":1749,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:55.999Z","updated_at":"2021-09-30T09:31:56.057Z","grant_id":1393,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-0842395","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":660,"fairsharing_record_id":1749,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:39.533Z","updated_at":"2021-09-30T09:29:20.528Z","grant_id":203,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-034473","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1750","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:22:26.932Z","metadata":{"doi":"10.25504/FAIRsharing.qqc7zw","name":"DNASU Plasmid Repository","status":"ready","contacts":[{"contact_name":"Joshua LaBaer","contact_email":"jlabaer@asu.edu","contact_orcid":"0000-0001-5788-9697"}],"homepage":"http://dnasu.org/DNASU/Home.do","identifier":1750,"description":"DNASU is a central repository for plasmid clones and collections. Currently we store and distribute over 197,000 plasmids including 75,000 human and mouse plasmids, full genome collections, the protein expression plasmids from the Protein Structure Initiative as the PSI: Biology Material Repository (PSI : Biology-MR), and both small and large collections from individual researchers. We are also a founding member and distributor of the ORFeome Collaboration plasmid collection.","abbreviation":null,"data_curation":{"url":"https://dnasu.org/DNASU/Submission.jsp","type":"manual"},"support_links":[{"url":"dnasuhelp@asu.edu","type":"Support email"},{"url":"http://dnasu.org/DNASU/FAQ.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/DNASUPlasmids","type":"Twitter"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"http://dnasu.org/DNASU/SearchOptions.do?tab=4","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012354","name":"re3data:r3d100012354","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012185","name":"SciCrunch:RRID:SCR_012185","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dnasu.org/DNASU/Submission.jsp","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000208","bsg-d000208"],"name":"FAIRsharing record for: DNASU Plasmid Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qqc7zw","doi":"10.25504/FAIRsharing.qqc7zw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DNASU is a central repository for plasmid clones and collections. Currently we store and distribute over 197,000 plasmids including 75,000 human and mouse plasmids, full genome collections, the protein expression plasmids from the Protein Structure Initiative as the PSI: Biology Material Repository (PSI : Biology-MR), and both small and large collections from individual researchers. We are also a founding member and distributor of the ORFeome Collaboration plasmid collection.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Clone library","Deoxyribonucleic acid","Plasmid","Genome"],"taxonomies":["Archaea","Bacteria","Eukaryota","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":277,"pubmed_id":21360289,"title":"PSI:Biology-materials repository: a biologist's resource for protein expression plasmids.","year":2011,"url":"http://doi.org/10.1007/s10969-011-9100-8","authors":"Cormier CY., Park JG., Fiacco M., Steel J., Hunter P., Kramer J., Singla R., LaBaer J.,","journal":"J. Struct. Funct. Genomics","doi":"10.1007/s10969-011-9100-8","created_at":"2021-09-30T08:22:49.898Z","updated_at":"2021-09-30T08:22:49.898Z"},{"id":598,"pubmed_id":19906724,"title":"Protein Structure Initiative Material Repository: an open shared public resource of structural genomics plasmids for the biological community.","year":2009,"url":"http://doi.org/10.1093/nar/gkp999","authors":"Cormier CY, Mohr SE, Zuo D, Hu Y, Rolfs A, Kramer J, Taycher E, Kelley F, Fiacco M, Turnbull G, LaBaer J.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp999","created_at":"2021-09-30T08:23:25.582Z","updated_at":"2021-09-30T11:28:47.973Z"}],"licence_links":[],"grants":[{"id":665,"fairsharing_record_id":1750,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:39.704Z","updated_at":"2021-09-30T09:29:51.155Z","grant_id":435,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5P30 CA06516-06","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":661,"fairsharing_record_id":1750,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:24:39.571Z","updated_at":"2021-09-30T09:24:39.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":664,"fairsharing_record_id":1750,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:24:39.669Z","updated_at":"2021-09-30T09:24:39.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":663,"fairsharing_record_id":1750,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:39.627Z","updated_at":"2021-09-30T09:30:00.419Z","grant_id":509,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN2332200400053C/N01-A1-40053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":662,"fairsharing_record_id":1750,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:39.596Z","updated_at":"2021-09-30T09:30:01.563Z","grant_id":519,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U01 GM079617","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1751","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-21T09:58:52.988Z","metadata":{"doi":"10.25504/FAIRsharing.fqcrpt","name":"Telomerase Database","status":"ready","contacts":[{"contact_name":"Julian J-L Chen","contact_email":"JLChen@asu.edu","contact_orcid":"0000-0002-7253-2722"}],"homepage":"http://telomerase.asu.edu","citations":[{"doi":"10.1093/nar/gkm700","pubmed_id":18073191,"publication_id":287}],"identifier":1751,"description":"The Telomerase Database is a Web-based tool for the study of structure, function, and evolution of the telomerase ribonucleoprotein. The objective of this database is to serve the research community by providing a comprehensive compilation of information known about telomerase enzyme and its substrate, telomeres.","abbreviation":null,"data_curation":{"type":"manual/automated","notes":"A standard nomenclature is used throughout the online database for consistency and clarity."},"support_links":[{"url":"http://telomerase.asu.edu/overview.html","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","data_access_condition":{"type":"open","notes":"Available information on the component, the RNA or amino acid sequence, the genbank accession number, and a link to the record at the NCBI."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000209","bsg-d000209"],"name":"FAIRsharing record for: Telomerase Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fqcrpt","doi":"10.25504/FAIRsharing.fqcrpt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Telomerase Database is a Web-based tool for the study of structure, function, and evolution of the telomerase ribonucleoprotein. The objective of this database is to serve the research community by providing a comprehensive compilation of information known about telomerase enzyme and its substrate, telomeres.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Small molecule","Enzyme","Disease","Structure","Protein"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":287,"pubmed_id":18073191,"title":"The telomerase database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm700","authors":"Podlevsky JD., Bley CJ., Omana RV., Qi X., Chen JJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm700","created_at":"2021-09-30T08:22:50.933Z","updated_at":"2021-09-30T08:22:50.933Z"}],"licence_links":[],"grants":[{"id":667,"fairsharing_record_id":1751,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:24:39.754Z","updated_at":"2023-09-20T15:32:35.139Z","grant_id":null,"is_lead":true,"saved_state":{"id":114,"name":"Arizona State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":666,"fairsharing_record_id":1751,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:39.730Z","updated_at":"2021-09-30T09:32:25.055Z","grant_id":1610,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"MCB0642857","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1737","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-06T08:15:16.451Z","metadata":{"doi":"10.25504/FAIRsharing.2h8cxh","name":"autoSNPdb","status":"deprecated","contacts":[{"contact_name":"David Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://autosnpdb.appliedbioinformatics.com.au","citations":[],"identifier":1737,"description":"Implemented the SNP discovery software autoSNP within a relational database to enable the efficient mining of the identified polymorphisms and the detailed interrogation of the data. AutoSNP was selected because it does not require sequence trace files and is thus applicable to a broader range of species and datasets.","abbreviation":"autoSNPdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://autosnpdb.appliedbioinformatics.com.au/faq.htm","type":"Frequently Asked Questions (FAQs)"},{"url":"http://autosnpdb.appliedbioinformatics.com.au/help.htm","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://autosnpdb.appliedbioinformatics.com.au/BLASTsearch.jsp?species=barley","name":"BLAST"}],"deprecation_date":"2023-04-05","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000194","bsg-d000194"],"name":"FAIRsharing record for: autoSNPdb","abbreviation":"autoSNPdb","url":"https://fairsharing.org/10.25504/FAIRsharing.2h8cxh","doi":"10.25504/FAIRsharing.2h8cxh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Implemented the SNP discovery software autoSNP within a relational database to enable the efficient mining of the identified polymorphisms and the detailed interrogation of the data. AutoSNP was selected because it does not require sequence trace files and is thus applicable to a broader range of species and datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Single nucleotide polymorphism","Gene"],"taxonomies":["Brassica","Hordeum vulgare","Oryza sativa","Triticum"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":255,"pubmed_id":18854357,"title":"AutoSNPdb: an annotated single nucleotide polymorphism database for crop plants.","year":2008,"url":"http://doi.org/10.1093/nar/gkn650","authors":"Duran C., Appleby N., Clark T., Wood D., Imelfort M., Batley J., Edwards D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn650","created_at":"2021-09-30T08:22:47.531Z","updated_at":"2021-09-30T08:22:47.531Z"}],"licence_links":[{"licence_name":"autoSNPdb Acknowledgements, Requirements and Disclaimer","licence_id":51,"licence_url":"http://autosnpdb.appliedbioinformatics.com.au/ackDis.html","link_id":173,"relation":"undefined"}],"grants":[{"id":629,"fairsharing_record_id":1737,"organisation_id":137,"relation":"maintains","created_at":"2021-09-30T09:24:38.628Z","updated_at":"2021-09-30T09:24:38.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":137,"name":"Australian Centre For Plant Functional Genomics (ACPFG), Australia","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1738","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:37.008Z","metadata":{"doi":"10.25504/FAIRsharing.8hcczk","name":"Addgene","status":"ready","contacts":[{"contact_name":"General Contact Email","contact_email":"info@addgene.org"}],"homepage":"http://www.addgene.org/","identifier":1738,"description":"Addgene is a non-profit plasmid repository dedicated to helping scientists around the world share high-quality plasmids. Addgene are working with thousands of laboratories to assemble a high-quality library of published plasmids for use in research and discovery. By linking plasmids with articles, scientists can always find data related to the materials they request.","abbreviation":"Addgene","data_curation":{"url":"https://blog.addgene.org/how-to-deposit-your-plasmids-with-addgene?_gl=1*3zcwc9*_ga*MTk3NDU5ODQ2NC4xNjk4OTIwNTEz*_ga_5SC3L963MZ*MTY5ODkyMDUxMi4xLjEuMTY5ODkyMDc1NC4xOS4wLjA.","type":"manual","notes":"All received plasmids undergo a quality control process to verify their key features."},"support_links":[{"url":"https://blog.addgene.org/","name":"Addgene blog","type":"Blog/News"},{"url":"https://www.addgene.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"help@addgene.org","name":"Help Email","type":"Support email"},{"url":"https://help.addgene.org/hc/en-us","name":"Help Center","type":"Help documentation"},{"url":"https://www.addgene.org/ordering/","name":"Ordering Help","type":"Help documentation"},{"url":"https://twitter.com/Addgene","name":"@Addgene","type":"Twitter"}],"year_creation":2004,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010741","name":"re3data:r3d100010741","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002037","name":"SciCrunch:RRID:SCR_002037","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://blog.addgene.org/how-to-deposit-your-plasmids-with-addgene?_gl=1*3zcwc9*_ga*MTk3NDU5ODQ2NC4xNjk4OTIwNTEz*_ga_5SC3L963MZ*MTY5ODkyMDUxMi4xLjEuMTY5ODkyMDc1NC4xOS4wLjA.","type":"open","notes":"Free login is required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000196","bsg-d000196"],"name":"FAIRsharing record for: Addgene","abbreviation":"Addgene","url":"https://fairsharing.org/10.25504/FAIRsharing.8hcczk","doi":"10.25504/FAIRsharing.8hcczk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Addgene is a non-profit plasmid repository dedicated to helping scientists around the world share high-quality plasmids. Addgene are working with thousands of laboratories to assemble a high-quality library of published plasmids for use in research and discovery. By linking plasmids with articles, scientists can always find data related to the materials they request.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10935},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11288}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bibliography","Deoxyribonucleic acid","Plasmid"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom","United States"],"publications":[{"id":269,"pubmed_id":22491276,"title":"Addgene provides an open forum for plasmid sharing.","year":2012,"url":"http://doi.org/10.1038/nbt.2177","authors":"Herscovitch M., Perkins E., Baltus A., Fan M.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt.2177","created_at":"2021-09-30T08:22:49.066Z","updated_at":"2021-09-30T08:22:49.066Z"},{"id":667,"pubmed_id":null,"title":"Repositories share key research tools","year":2014,"url":"http://doi.org/10.1038/505272a","authors":"Monya Baker","journal":"Nature","doi":"10.1038/505272a","created_at":"2021-09-30T08:23:33.618Z","updated_at":"2021-09-30T08:23:33.618Z"},{"id":673,"pubmed_id":null,"title":"Sharing Made Easy","year":2012,"url":"https://www.the-scientist.com/bio-business/sharing-made-easy-40517","authors":"Megan Scudellari","journal":"The Scientist","doi":null,"created_at":"2021-09-30T08:23:34.235Z","updated_at":"2021-09-30T11:28:29.929Z"},{"id":926,"pubmed_id":25392412,"title":"The Addgene repository: an international nonprofit plasmid and data resource","year":2014,"url":"http://doi.org/10.1093/nar/gku893","authors":"Joanne Kamens","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku893","created_at":"2021-09-30T08:24:02.406Z","updated_at":"2021-09-30T08:24:02.406Z"}],"licence_links":[{"licence_name":"Addgene Technology Transfer agreement","licence_id":7,"licence_url":"http://www.addgene.org/techtransfer/","link_id":823,"relation":"undefined"},{"licence_name":"Addgene Terms of Use","licence_id":8,"licence_url":"https://www.addgene.org/terms-of-use/","link_id":838,"relation":"undefined"}],"grants":[{"id":630,"fairsharing_record_id":1738,"organisation_id":23,"relation":"maintains","created_at":"2021-09-30T09:24:38.659Z","updated_at":"2021-09-30T09:24:38.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":23,"name":"Addgene","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":631,"fairsharing_record_id":1738,"organisation_id":23,"relation":"funds","created_at":"2021-09-30T09:24:38.695Z","updated_at":"2021-09-30T09:24:38.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":23,"name":"Addgene","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1739","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:03.044Z","metadata":{"doi":"10.25504/FAIRsharing.zzgvrv","name":"RNAJunction","status":"ready","contacts":[{"contact_name":"Bruce Shapiro","contact_email":"bshapiro@ncifcrf.gov"},{"contact_name":"Voytek Kasprzak","contact_email":"kasprzaw@mail.nih.gov","contact_orcid":null}],"homepage":"https://rnastructure.cancer.gov/rnajunction/","citations":[],"identifier":1739,"description":"RNAJunction is a database of RNA junctions and kissing loop structures. It contains structure and sequence information for RNA structural elements such as helical junctions, internal loops, bulges and loop–loop interactions. It allows searching by PDB code, structural classification, sequence, keyword or inter-helix angles. RNAJunction is designed to aid analysis of RNA structures as well as design of novel RNA structures on a nanoscale. ","abbreviation":"RNAJunction","data_curation":{"type":"manual"},"support_links":[{"url":"https://rnastructure.cancer.gov/rnajunction/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://rnastructure.cancer.gov/rnajunction/help.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{"name":"No information found"},"data_contact_information":"yes","data_preservation_policy":{"name":"No information found"},"data_deposition_condition":{"type":"controlled","notes":"Data have been gathered and extracted by one group of researchers and uploaded to this site for use by others."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000197","bsg-d000197"],"name":"FAIRsharing record for: RNAJunction","abbreviation":"RNAJunction","url":"https://fairsharing.org/10.25504/FAIRsharing.zzgvrv","doi":"10.25504/FAIRsharing.zzgvrv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAJunction is a database of RNA junctions and kissing loop structures. It contains structure and sequence information for RNA structural elements such as helical junctions, internal loops, bulges and loop–loop interactions. It allows searching by PDB code, structural classification, sequence, keyword or inter-helix angles. RNAJunction is designed to aid analysis of RNA structures as well as design of novel RNA structures on a nanoscale. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Ribonucleic acid","Structure","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":299,"pubmed_id":17947325,"title":"RNAJunction: a database of RNA junctions and kissing loops for three-dimensional structural analysis and nanodesign.","year":2007,"url":"http://doi.org/10.1093/nar/gkm842","authors":"Bindewald E., Hayes R., Yingling YG., Kasprzak W., Shapiro BA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm842","created_at":"2021-09-30T08:22:52.216Z","updated_at":"2021-09-30T08:22:52.216Z"}],"licence_links":[],"grants":[{"id":633,"fairsharing_record_id":1739,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:24:38.746Z","updated_at":"2021-09-30T09:24:38.746Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9388,"fairsharing_record_id":1739,"organisation_id":1955,"relation":"maintains","created_at":"2022-04-11T12:07:35.033Z","updated_at":"2022-04-11T12:07:35.033Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1740","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:07.031Z","metadata":{"doi":"10.25504/FAIRsharing.2sqcxs","name":"Nottingham Arabidopsis Stock Centre Seeds Database","status":"ready","contacts":[{"contact_name":"Sean May","contact_email":"sean@arabidopsis.org.uk","contact_orcid":"0000-0001-5282-3250"}],"homepage":"http://arabidopsis.info","identifier":1740,"description":"The Nottingham Arabidopsis Stock Centre (NASC) provides seed and information resources to the International Arabidopsis Genome Programme and the wider research community.","abbreviation":"NASC","data_curation":{"type":"manual"},"support_links":[{"url":"http://arabidopsis.info/InfoPages?template=ask_a_question;web_section=germplasm","type":"Contact form"},{"url":"bioinfo@arabidopsis.org.uk","type":"Support email"},{"url":"http://arabidopsis.info/InfoPages?template=orderfaq;web_section=germplasm","type":"Frequently Asked Questions (FAQs)"},{"url":"http://arabidopsis.info/InfoPages?template=help","type":"Help documentation"},{"url":"https://twitter.com/NascArabidopsis","type":"Twitter"}],"year_creation":1991,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010906","name":"re3data:r3d100010906","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004576","name":"SciCrunch:RRID:SCR_004576","portal":"SciCrunch"}],"data_access_condition":{"url":"https://arabidopsis.info/InfoPages?template=about_nasc;web_section=arabidopsis","type":"open","notes":"Catalog of seeds can be purchased"},"data_contact_information":"no","data_deposition_condition":{"url":"https://arabidopsis.info/InfoPages?template=donation_info;web_section=germplasm","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000198","bsg-d000198"],"name":"FAIRsharing record for: Nottingham Arabidopsis Stock Centre Seeds Database","abbreviation":"NASC","url":"https://fairsharing.org/10.25504/FAIRsharing.2sqcxs","doi":"10.25504/FAIRsharing.2sqcxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nottingham Arabidopsis Stock Centre (NASC) provides seed and information resources to the International Arabidopsis Genome Programme and the wider research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Insertion sequence","Genome"],"taxonomies":["Arabidopsis thaliana","Brassica"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":257,"pubmed_id":14681484,"title":"NASCArrays: a repository for microarray data generated by NASC's transcriptomics service.","year":2003,"url":"http://doi.org/10.1093/nar/gkh133","authors":"Craigon DJ., James N., Okyere J., Higgins J., Jotham J., May S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh133","created_at":"2021-09-30T08:22:47.782Z","updated_at":"2021-09-30T08:22:47.782Z"}],"licence_links":[],"grants":[{"id":634,"fairsharing_record_id":1740,"organisation_id":2848,"relation":"undefined","created_at":"2021-09-30T09:24:38.769Z","updated_at":"2021-09-30T09:24:38.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":2848,"name":"The University of Nottingham, UK","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":635,"fairsharing_record_id":1740,"organisation_id":2193,"relation":"maintains","created_at":"2021-09-30T09:24:38.796Z","updated_at":"2021-09-30T09:24:38.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":2193,"name":"Nottingham Arabidopsis Stock Centre (NASC), Loughborough, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":636,"fairsharing_record_id":1740,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:38.819Z","updated_at":"2021-09-30T09:29:07.952Z","grant_id":107,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L010100/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1722","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:27.861Z","metadata":{"doi":"10.25504/FAIRsharing.f5xs6m","name":"BloodSpot","status":"ready","contacts":[{"contact_name":"Nicolas Rapin","contact_email":"nicolas.rapin@finsenlab.dk"}],"homepage":"http://www.bloodspot.eu","identifier":1722,"description":"BloodSpot is a database of mRNA expression in healthy and malignant haematopoiesis and includes data from both humans and mice. The core function of BloodSpot is to provide an expression plot of genes in healthy and cancerous haematopoietic cells at specific differentiation stages. In addition to the default plot, that displays an integrated expression plot, two additional levels of visualization are available; an interactive tree showing the hierarchical relationship between the samples, and a Kaplan-Meier survival plot. Prior to BloodSpot, this service was provided by an earlier project, HemaExplorer, also by the same research group. HemaExplorer was updated to the BloodSpot platform, which all users are encouraged to use instead.","abbreviation":"BloodSpot","data_curation":{"url":"https://www.bloodspot.eu/","type":"automated"},"support_links":[{"url":"http://servers.binf.ku.dk/bloodspot/php/help.php","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000179","bsg-d000179"],"name":"FAIRsharing record for: BloodSpot","abbreviation":"BloodSpot","url":"https://fairsharing.org/10.25504/FAIRsharing.f5xs6m","doi":"10.25504/FAIRsharing.f5xs6m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BloodSpot is a database of mRNA expression in healthy and malignant haematopoiesis and includes data from both humans and mice. The core function of BloodSpot is to provide an expression plot of genes in healthy and cancerous haematopoietic cells at specific differentiation stages. In addition to the default plot, that displays an integrated expression plot, two additional levels of visualization are available; an interactive tree showing the hierarchical relationship between the samples, and a Kaplan-Meier survival plot. Prior to BloodSpot, this service was provided by an earlier project, HemaExplorer, also by the same research group. HemaExplorer was updated to the BloodSpot platform, which all users are encouraged to use instead.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12620}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Developmental Biology","Life Science"],"domains":["Expression data","Cancer","Hematopoiesis","Messenger RNA","Gene","Blood"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":36,"pubmed_id":26507857,"title":"BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1101","authors":"Bagger FO,Sasivarevic D,Sohi SH,Laursen LG,Pundhir S,Sonderby CK,Winther O,Rapin N,Porse BT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1101","created_at":"2021-09-30T08:22:24.177Z","updated_at":"2021-09-30T11:28:41.666Z"},{"id":564,"pubmed_id":22745298,"title":"HemaExplorer: a Web server for easy and fast visualization of gene expression in normal and malignant hematopoiesis.","year":2012,"url":"http://doi.org/10.1182/blood-2012-05-427310","authors":"Bagger FO,Rapin N,Theilgaard-Monch K,Kaczkowski B,Jendholm J,Winther O,Porse B","journal":"Blood","doi":"10.1182/blood-2012-05-427310","created_at":"2021-09-30T08:23:21.676Z","updated_at":"2021-09-30T08:23:21.676Z"},{"id":593,"pubmed_id":23143109,"title":"HemaExplorer: a database of mRNA expression profiles in normal and malignant haematopoiesis.","year":2012,"url":"http://doi.org/10.1093/nar/gks1021","authors":"Bagger FO,Rapin N,Theilgaard-Monch K,Kaczkowski B,Thoren LA,Jendholm J,Winther O,Porse BT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1021","created_at":"2021-09-30T08:23:25.066Z","updated_at":"2021-09-30T11:28:47.825Z"}],"licence_links":[],"grants":[{"id":583,"fairsharing_record_id":1722,"organisation_id":2197,"relation":"funds","created_at":"2021-09-30T09:24:36.954Z","updated_at":"2021-09-30T09:24:36.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":2197,"name":"Novo Nordisk Foundation, Denmark","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":581,"fairsharing_record_id":1722,"organisation_id":241,"relation":"maintains","created_at":"2021-09-30T09:24:36.900Z","updated_at":"2021-09-30T09:24:36.900Z","grant_id":null,"is_lead":false,"saved_state":{"id":241,"name":"Bioinformatics Centre, University of Copenhagen, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":584,"fairsharing_record_id":1722,"organisation_id":640,"relation":"maintains","created_at":"2021-09-30T09:24:36.985Z","updated_at":"2021-09-30T09:24:36.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":640,"name":"Danish State Hospital, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":585,"fairsharing_record_id":1722,"organisation_id":1015,"relation":"maintains","created_at":"2021-09-30T09:24:37.019Z","updated_at":"2021-09-30T09:24:37.019Z","grant_id":null,"is_lead":false,"saved_state":{"id":1015,"name":"Finsen Laboratory, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":586,"fairsharing_record_id":1722,"organisation_id":279,"relation":"maintains","created_at":"2021-09-30T09:24:37.042Z","updated_at":"2021-09-30T09:24:37.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":279,"name":"Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":582,"fairsharing_record_id":1722,"organisation_id":639,"relation":"funds","created_at":"2021-09-30T09:24:36.926Z","updated_at":"2021-09-30T09:28:59.534Z","grant_id":45,"is_lead":false,"saved_state":{"id":639,"name":"Danish Research Council for Strategic Research, Denmark","grant":"09-065157","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8399,"fairsharing_record_id":1722,"organisation_id":639,"relation":"funds","created_at":"2021-09-30T09:32:27.676Z","updated_at":"2021-09-30T09:32:27.729Z","grant_id":1630,"is_lead":false,"saved_state":{"id":639,"name":"Danish Research Council for Strategic Research, Denmark","grant":"10-092798","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1723","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:20.577Z","metadata":{"doi":"10.25504/FAIRsharing.8t18te","name":"Cell Image Library","status":"ready","contacts":[{"contact_name":"David Orloff","contact_email":"dorloff@ncmir.ucsd.edu"}],"homepage":"http://www.cellimagelibrary.org","citations":[],"identifier":1723,"description":"This library is a public and easily accessible resource database of images, videos, and animations of cells, capturing a wide diversity of organisms, cell types, and cellular processes. The purpose of this database is to advance research on cellular activity, with the ultimate goal of improving human health. It is a repository for images, movies, and animations of cells from a variety of organisms that demonstrate cellular architecture and functions. This comprehensive library is designed as a public resource first and foremost for research, and secondarily as a tool for education. The long-term goal is the construction of a library of images that will serve as primary data for research.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cellimagelibrary.org/pages/help#faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.cellimagelibrary.org/pages/help","name":"Help Pages","type":"Help documentation"},{"url":"http://www.cellimagelibrary.org/pages/about","name":"http://www.cellimagelibrary.org/pages/about","type":"Help documentation"},{"url":"https://twitter.com/CellImageLibrar","name":"@CellImageLibrar","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000023","name":"re3data:r3d100000023","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003510","name":"SciCrunch:RRID:SCR_003510","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.cellimagelibrary.org/pages/contribute","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000180","bsg-d000180"],"name":"FAIRsharing record for: Cell Image Library","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8t18te","doi":"10.25504/FAIRsharing.8t18te","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This library is a public and easily accessible resource database of images, videos, and animations of cells, capturing a wide diversity of organisms, cell types, and cellular processes. The purpose of this database is to advance research on cellular activity, with the ultimate goal of improving human health. It is a repository for images, movies, and animations of cells from a variety of organisms that demonstrate cellular architecture and functions. This comprehensive library is designed as a public resource first and foremost for research, and secondarily as a tool for education. The long-term goal is the construction of a library of images that will serve as primary data for research.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10764},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11219},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11327}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Cell Biology"],"domains":["Cell","Microscopy","Light microscopy","Electron microscopy","Video","Super-resolution microscopy","Animation","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":232,"pubmed_id":23203874,"title":"The cell: an image library-CCDB: a curated repository of microscopy data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1257","authors":"Orloff DN, Iwasa JH, Martone ME, Ellisman MH, Kane CM.","journal":"Nucleic Acids Res (Database issue)","doi":"10.1093/nar/gks1257","created_at":"2021-09-30T08:22:45.040Z","updated_at":"2021-09-30T08:22:45.040Z"}],"licence_links":[{"licence_name":"Cell Image Library Data Policies and disclaimer","licence_id":117,"licence_url":"http://www.cellimagelibrary.org/pages/license","link_id":970,"relation":"undefined"}],"grants":[{"id":588,"fairsharing_record_id":1723,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:37.102Z","updated_at":"2021-09-30T09:30:08.986Z","grant_id":573,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"RC2GM092708","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10018,"fairsharing_record_id":1723,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.932Z","updated_at":"2022-10-13T09:43:38.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":589,"fairsharing_record_id":1723,"organisation_id":84,"relation":"maintains","created_at":"2021-09-30T09:24:37.127Z","updated_at":"2021-09-30T09:24:37.127Z","grant_id":null,"is_lead":false,"saved_state":{"id":84,"name":"American Society for Cell Biology (ASCB), USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":587,"fairsharing_record_id":1723,"organisation_id":438,"relation":"maintains","created_at":"2021-09-30T09:24:37.073Z","updated_at":"2021-09-30T09:24:37.073Z","grant_id":null,"is_lead":true,"saved_state":{"id":438,"name":"Center for Research in Biological Systems, La Jolla, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1724","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:14:54.820Z","metadata":{"doi":"10.25504/FAIRsharing.ezp87","name":"mycoCLAP","status":"deprecated","contacts":[{"contact_name":"Adrian Tsang","contact_email":"adrian.tsang@concordia.ca"}],"homepage":"http://mycoCLAP.fungalgenomics.ca","citations":[],"identifier":1724,"description":"mycoCLAP is a searchable resource for the knowledge and annotation of Characterized Lignocellulose-Active Proteins of fungal origin.","abbreviation":"mycoCLAP","data_curation":{"type":"not found"},"support_links":[{"url":"mycoclap@concordia.ca","type":"Support email"},{"url":"https://mycoclap.fungalgenomics.ca/mycoCLAP/clap/Help","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://blast.fungalgenomics.ca/blast_mycoclap.html","name":"BLAST"}],"deprecation_date":"2021-12-02","deprecation_reason":"This resource is obsolete, and has been subsumed into CLAE. Please use CLAE instead (https://beta.fairsharing.org/3652). For more information, see https://clae.fungalgenomics.ca/.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000181","bsg-d000181"],"name":"FAIRsharing record for: mycoCLAP","abbreviation":"mycoCLAP","url":"https://fairsharing.org/10.25504/FAIRsharing.ezp87","doi":"10.25504/FAIRsharing.ezp87","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mycoCLAP is a searchable resource for the knowledge and annotation of Characterized Lignocellulose-Active Proteins of fungal origin.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme","Protein","Gene"],"taxonomies":["Fungi"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":234,"pubmed_id":21622642,"title":"Curation of characterized glycoside hydrolases of Fungal origin","year":2011,"url":"http://doi.org/10.1093/database/bar020","authors":"Caitlin Murphy, Justin Powlowski, Min Wu, Greg Butler and Adrian Tsang","journal":"Database","doi":"10.1093/database/bar020","created_at":"2021-09-30T08:22:45.273Z","updated_at":"2021-09-30T08:22:45.273Z"}],"licence_links":[{"licence_name":"Terms and conditions stated by Concordia University","licence_id":778,"licence_url":"http://graduatestudies.concordia.ca/legalnotice.php","link_id":166,"relation":"undefined"}],"grants":[{"id":592,"fairsharing_record_id":1724,"organisation_id":1111,"relation":"funds","created_at":"2021-09-30T09:24:37.219Z","updated_at":"2021-09-30T09:24:37.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":590,"fairsharing_record_id":1724,"organisation_id":2101,"relation":"funds","created_at":"2021-09-30T09:24:37.154Z","updated_at":"2021-09-30T09:24:37.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":591,"fairsharing_record_id":1724,"organisation_id":1113,"relation":"funds","created_at":"2021-09-30T09:24:37.185Z","updated_at":"2021-09-30T09:24:37.185Z","grant_id":null,"is_lead":false,"saved_state":{"id":1113,"name":"Genome Quebec, Quebec, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":593,"fairsharing_record_id":1724,"organisation_id":470,"relation":"maintains","created_at":"2021-09-30T09:24:37.242Z","updated_at":"2021-09-30T09:24:37.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":470,"name":"Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1727","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:47.826Z","metadata":{"doi":"10.25504/FAIRsharing.veg2d6","name":"FlowRepository","status":"ready","contacts":[{"contact_name":"Ryan Brinkman","contact_email":"rbrinkman@bccrc.ca","contact_orcid":"0000-0002-9765-2990"}],"homepage":"http://www.flowrepository.org","citations":[{"doi":"10.1002/cyto.a.22106","pubmed_id":22887982,"publication_id":1205}],"identifier":1727,"description":"FlowRepository is a database of flow cytometry experiments where you can query and download data collected and annotated according to the MIFlowCyt standard. Data are generally associated with peer reviewed manuscripts.","abbreviation":"FlowRepository","data_curation":{"type":"not found"},"support_links":[{"url":"http://flowrepository.org/support_ticket","name":"Contact Support","type":"Contact form"},{"url":"http://flowrepository.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://flowrepository.org/quick_start_guide","name":"Quick Start Guide","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011280","name":"re3data:r3d100011280","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013779","name":"SciCrunch:RRID:SCR_013779","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://flowrepository.org/quick_start_guide#SubmittingData","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000184","bsg-d000184"],"name":"FAIRsharing record for: FlowRepository","abbreviation":"FlowRepository","url":"https://fairsharing.org/10.25504/FAIRsharing.veg2d6","doi":"10.25504/FAIRsharing.veg2d6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FlowRepository is a database of flow cytometry experiments where you can query and download data collected and annotated according to the MIFlowCyt standard. Data are generally associated with peer reviewed manuscripts.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10934}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Cell Biology","Biology"],"domains":["Cell","Cellular assay","Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1205,"pubmed_id":22887982,"title":"FlowRepository: a resource of annotated flow cytometry datasets associated with peer-reviewed publications","year":2012,"url":"http://doi.org/10.1002/cyto.a.22106","authors":"Spidlen J, Breuer K, Rosenberg C, Kotecha N, Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.22106","created_at":"2021-09-30T08:24:34.317Z","updated_at":"2021-09-30T08:24:34.317Z"},{"id":1230,"pubmed_id":22752950,"title":"Preparing a Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) compliant manuscript using the International Society for Advancement of Cytometry (ISAC) FCS file repository (FlowRepository.org).","year":2012,"url":"http://doi.org/10.1002/0471142956.cy1018s61","authors":"Spidlen J,Breuer K,Brinkman R","journal":"Curr Protoc Cytom","doi":"10.1002/0471142956.cy1018s61","created_at":"2021-09-30T08:24:37.200Z","updated_at":"2021-09-30T08:24:37.200Z"}],"licence_links":[{"licence_name":"FlowRepository Privacy Policy","licence_id":317,"licence_url":"http://flowrepository.org/privacy_policy","link_id":1583,"relation":"undefined"},{"licence_name":"FLOW Repository Terms of Use","licence_id":318,"licence_url":"http://flowrepository.org/terms_of_service","link_id":1582,"relation":"undefined"}],"grants":[{"id":603,"fairsharing_record_id":1727,"organisation_id":3218,"relation":"funds","created_at":"2021-09-30T09:24:37.578Z","updated_at":"2021-09-30T09:24:37.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":3218,"name":"Wallace H Coulter Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":601,"fairsharing_record_id":1727,"organisation_id":1515,"relation":"funds","created_at":"2021-09-30T09:24:37.528Z","updated_at":"2021-09-30T09:24:37.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":1515,"name":"International Society for Advancement of Cytometry (ISAC)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":602,"fairsharing_record_id":1727,"organisation_id":2732,"relation":"maintains","created_at":"2021-09-30T09:24:37.553Z","updated_at":"2021-09-30T09:24:37.553Z","grant_id":null,"is_lead":true,"saved_state":{"id":2732,"name":"Terry Fox Laboratory, BC Cancer Agency, Vancouver, British Columbia, Canada","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1728","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:08.563Z","metadata":{"doi":"10.25504/FAIRsharing.ncr75x","name":"wiki-pain","status":"deprecated","contacts":[{"contact_name":"Daniel Jamieson","contact_email":"dan.jamieson@manchester.ac.uk","contact_orcid":"0000-0002-7121-0406"}],"homepage":"http://wiki-pain.org/vhosts/wikipaints/mediawiki-1.19.1/index.php/Main_Page","identifier":1728,"description":"wiki-pain.org is a wiki containing molecular interactions that are relevant to pain. Each molecular interaction is shown in relation to pain, disease, mutations, anatomy and a summary of its mentions throughout the literature is provided.","abbreviation":"wiki-pain","data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://www.biocontext.org","name":"biocontext 1"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000185","bsg-d000185"],"name":"FAIRsharing record for: wiki-pain","abbreviation":"wiki-pain","url":"https://fairsharing.org/10.25504/FAIRsharing.ncr75x","doi":"10.25504/FAIRsharing.ncr75x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: wiki-pain.org is a wiki containing molecular interactions that are relevant to pain. Each molecular interaction is shown in relation to pain, disease, mutations, anatomy and a summary of its mentions throughout the literature is provided.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Text mining","Molecular interaction","Pain"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":260,"pubmed_id":23707966,"title":"Cataloging the biomedical world of pain through semi-automated curation of molecular interactions","year":2013,"url":"http://doi.org/10.1093/database/bat033","authors":"Daniel G. Jamieson, Phoebe M. Roberts, David L. Robertson, Ben Sidders and Goran Nenadic","journal":"Database","doi":"10.1093/database/bat033","created_at":"2021-09-30T08:22:48.091Z","updated_at":"2021-09-30T08:22:48.091Z"}],"licence_links":[],"grants":[{"id":604,"fairsharing_record_id":1728,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:24:37.609Z","updated_at":"2021-09-30T09:24:37.609Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":605,"fairsharing_record_id":1728,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:37.651Z","updated_at":"2021-09-30T09:29:36.054Z","grant_id":319,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/H016694/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1729","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:24.392Z","metadata":{"doi":"10.25504/FAIRsharing.jykmkw","name":"Golm Metabolome Database","status":"ready","contacts":[{"contact_name":"Jan Hummel","contact_email":"hummel@mpimp-golm.mpg.de"}],"homepage":"http://gmd.mpimp-golm.mpg.de/","citations":[],"identifier":1729,"description":"The Golm Metabolome Database (GMD) provides gas chromatography (GC) mass spectrometry (MS) reference spectra, reference metabolite profiles and tools for one of the most widespread routine technologies applied to the large scale screening and discovery of novel metabolic biomarkers.","abbreviation":"GMD","data_curation":{"type":"manual"},"support_links":[{"url":"http://gmd.mpimp-golm.mpg.de/blog.aspx","type":"Blog/News"},{"url":"http://gmd.mpimp-golm.mpg.de/help.aspx","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011046","name":"re3data:r3d100011046","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006625","name":"SciCrunch:RRID:SCR_006625","portal":"SciCrunch"}],"data_access_condition":{"url":"http://gmd.mpimp-golm.mpg.de/termsconditions.aspx","type":"open","notes":"Access to the online contents and services of the GMD is granted to all users without any limitations pursuant to the regulations stipulated below."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000186","bsg-d000186"],"name":"FAIRsharing record for: Golm Metabolome Database","abbreviation":"GMD","url":"https://fairsharing.org/10.25504/FAIRsharing.jykmkw","doi":"10.25504/FAIRsharing.jykmkw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Golm Metabolome Database (GMD) provides gas chromatography (GC) mass spectrometry (MS) reference spectra, reference metabolite profiles and tools for one of the most widespread routine technologies applied to the large scale screening and discovery of novel metabolic biomarkers.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20026}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Mass spectrum","Gas chromatography","Mass spectrometry assay"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1330,"pubmed_id":20526350,"title":"Decision tree supported substructure prediction of metabolites from GC-MS profiles","year":2010,"url":"http://doi.org/10.1007/s11306-010-0198-7","authors":"Hummel, J., Strehmel, N., Selbig, J., Walther, D. and Kopka, J.","journal":"Metabolomics","doi":"doi:10.1007/s11306-010-0198-7","created_at":"2021-09-30T08:24:48.877Z","updated_at":"2021-09-30T08:24:48.877Z"}],"licence_links":[{"licence_name":"GMD Custom Terms and Conditions","licence_id":351,"licence_url":"http://gmd.mpimp-golm.mpg.de/termsconditions.aspx","link_id":1727,"relation":"undefined"}],"grants":[{"id":607,"fairsharing_record_id":1729,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:37.730Z","updated_at":"2021-09-30T09:24:37.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":606,"fairsharing_record_id":1729,"organisation_id":1793,"relation":"maintains","created_at":"2021-09-30T09:24:37.693Z","updated_at":"2021-09-30T09:24:37.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":1793,"name":"Max Planck Institute of Molecular Plant Physiology (MPIMP), Munich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":608,"fairsharing_record_id":1729,"organisation_id":917,"relation":"funds","created_at":"2021-09-30T09:24:37.767Z","updated_at":"2021-09-30T09:24:37.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1726","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-11T08:09:21.602Z","metadata":{"doi":"10.25504/FAIRsharing.ws7cgw","name":"Influenza Research Database","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"rscheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"http://www.fludb.org","citations":[{"doi":"10.1093/nar/gkw857","pubmed_id":27679478,"publication_id":2827}],"identifier":1726,"description":"The Influenza Research Database (IRD) is a free, open, publicly-accessible resource funded by the U.S. National Institute of Allergy and Infectious Diseases through the Bioinformatics Resource Centers program. IRD provides a comprehensive, integrated database and analysis resource for influenza sequence, surveillance, and research data, including user-friendly interfaces for data retrieval, visualization, and comparative genomics analysis, together with personal login- protected ‘workbench’ spaces for saving data sets and analysis results. IRD integrates genomic, proteomic, immune epitope, and surveillance data from a variety of sources, including public databases, computational algorithms, external research groups, and the scientific literature.","abbreviation":"IRD","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.fludb.org/brc/staticContent.spg?decorator=influenza\u0026type=FluInfo\u0026subtype=Contact","name":"Contact Information","type":"Contact form"},{"url":"influenza@virusbrc.org","name":"influenza@virusbrc.org","type":"Support email"},{"url":"https://www.fludb.org/brc/help_landing.spg?decorator=influenza","name":"General Help","type":"Help documentation"},{"url":"https://www.fludb.org/brc/staticContent.spg?decorator=influenza\u0026type=FluInfo\u0026subtype=Protocols","name":"Protocols Used","type":"Help documentation"},{"url":"https://www.fludb.org/brc/influenzaTutorials.spg?decorator=influenza","name":"IRD Tutorials and Training Materials","type":"Training documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"https://www.fludb.org/brc/tree.spg?method=ShowCleanInputPage\u0026decorator=influenza","name":"Generate Phylogenetic Tree (PhyML and RaxML)"},{"url":"https://www.fludb.org/brc/msa.spg?method=ShowCleanInputPage\u0026decorator=influenza","name":"Align Sequences (MSA) via MUSCLE"},{"url":"https://www.fludb.org/brc/workbench_landing.spg?decorator=influenza\u0026method=WorkbenchDetail","name":"Workbench"},{"url":"https://www.fludb.org/brc/blast.spg?method=ShowCleanInputPage\u0026decorator=influenza","name":"Identify Similar Sequences (BLAST)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011558","name":"re3data:r3d100011558","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006641","name":"SciCrunch:RRID:SCR_006641","portal":"SciCrunch"}],"deprecation_date":"2023-07-11","deprecation_reason":"Influenza Research Database (IRD) has been shut down/deprecated and replaced by the Bacterial and Viral Bioinformatics Resource Center (BV-BRC).","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000183","bsg-d000183"],"name":"FAIRsharing record for: Influenza Research Database","abbreviation":"IRD","url":"https://fairsharing.org/10.25504/FAIRsharing.ws7cgw","doi":"10.25504/FAIRsharing.ws7cgw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Influenza Research Database (IRD) is a free, open, publicly-accessible resource funded by the U.S. National Institute of Allergy and Infectious Diseases through the Bioinformatics Resource Centers program. IRD provides a comprehensive, integrated database and analysis resource for influenza sequence, surveillance, and research data, including user-friendly interfaces for data retrieval, visualization, and comparative genomics analysis, together with personal login- protected ‘workbench’ spaces for saving data sets and analysis results. IRD integrates genomic, proteomic, immune epitope, and surveillance data from a variety of sources, including public databases, computational algorithms, external research groups, and the scientific literature.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10765},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10933},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11056},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12301},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12621}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Proteomics","Virology","Biomedical Science","Epidemiology"],"domains":["Expression data","Structure","Sequence feature"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":219,"pubmed_id":22260278,"title":"Influenza research database: an integrated bioinformatics resource for influenza research and surveillance","year":2012,"url":"http://doi.org/10.1111/j.1750-2659.2011.00331.x","authors":"Squires RB, Noronha J, Hunt V, García-Sastre A, Macken C, Baumgarth N, Suarez D, Pickett BE, Zhang Y, Larsen CN, Ramsey A, Zhou L, Zaremba S, Kumar S, Deitrich J, Klem E, Scheuermann RH.","journal":"Influenza Other Respi Viruses","doi":"10.1111/j.1750-2659.2011.00331.x","created_at":"2021-09-30T08:22:43.731Z","updated_at":"2021-09-30T08:22:43.731Z"},{"id":235,"pubmed_id":22398283,"title":"Influenza virus sequence feature variant type analysis: evidence of a role for NS1 in influenza virus host range restriction","year":2012,"url":"http://doi.org/10.1128/JVI.06901-11","authors":"Noronha JM, Liu M, Squires RB, Pickett BE, Hale BG, Air GM, Galloway SE, Takimoto T, Schmolke M, Hunt V, Klem E, García-Sastre A, McGee M, Scheuermann RH","journal":"J Virol","doi":"10.1128/JVI.06901-11","created_at":"2021-09-30T08:22:45.374Z","updated_at":"2021-09-30T08:22:45.374Z"},{"id":674,"pubmed_id":24210098,"title":"Metadata-driven comparative analysis tool for sequences (meta-CATS): an automated process for identifying significant sequence variations that correlate with virus attributes","year":2013,"url":"http://doi.org/10.1016/j.virol.2013.08.021","authors":"Pickett BE, Liu M, Sadat EL, Squires RB, Noronha JM, He S, Jen W, Zaremba S, Gu Z, Zhou L, Larsen CN, Bosch I, Gehrke L, McGee M, Klem EB, Scheuermann RH","journal":"Virology","doi":"10.1016/j.virol.2013.08.021","created_at":"2021-09-30T08:23:34.337Z","updated_at":"2021-09-30T08:23:34.337Z"},{"id":1199,"pubmed_id":24936976,"title":"Standardized metadata for human pathogen/vector genomic sequences.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0099979","authors":"Dugan VG,Emrich SJ,Giraldo-Calderon GI et al.","journal":"PLoS One","doi":"10.1371/journal.pone.0099979","created_at":"2021-09-30T08:24:33.566Z","updated_at":"2021-09-30T08:24:33.566Z"},{"id":1208,"pubmed_id":25064525,"title":"Toward a method for tracking virus evolutionary trajectory applied to the pandemic H1N1 2009 influenza virus.","year":2014,"url":"http://doi.org/10.1016/j.meegid.2014.07.015","authors":"Squires RB,Pickett BE,Das S,Scheuermann RH","journal":"Infect Genet Evol","doi":"10.1016/j.meegid.2014.07.015","created_at":"2021-09-30T08:24:34.641Z","updated_at":"2021-09-30T08:24:34.641Z"},{"id":2204,"pubmed_id":25861210,"title":"A RESTful API for Access to Phylogenetic Tools via the CIPRES Science Gateway.","year":2015,"url":"http://doi.org/10.4137/EBO.S21501","authors":"Miller MA,Schwartz T,Pickett BE,He S,Klem EB,Scheuermann RH,Passarotti M,Kaufman S,O'Leary MA","journal":"Evol Bioinform Online","doi":"10.4137/EBO.S21501","created_at":"2021-09-30T08:26:28.401Z","updated_at":"2021-09-30T08:26:28.401Z"},{"id":2825,"pubmed_id":25977790,"title":"A comprehensive collection of systems biology data characterizing the host response to viral infection.","year":2014,"url":"http://doi.org/10.1038/sdata.2014.33","authors":"Aevermann BD,Pickett BE,Kumar S,Klem EB,Agnihothram S,Askovich PS,Bankhead A 3rd,Bolles M,Carter V,Chang J,Clauss TR,Dash P,Diercks AH,Eisfeld AJ,Ellis A,Fan S,Ferris MT,Gralinski LE,Green RR,Gritsenko MA,Hatta M,Heegel RA,Jacobs JM,Jeng S,Josset L,Kaiser SM,Kelly S,Law GL,Li C,Li J,Long C,Luna ML,Matzke M,McDermott J,Menachery V,Metz TO,Mitchell H,Monroe ME,Navarro G,Neumann G,Podyminogin RL,Purvine SO,Rosenberger CM,Sanders CJ,Schepmoes AA,Shukla AK,Sims A,Sova P,Tam VC,Tchitchek N,Thomas PG,Tilton SC,Totura A,Wang J,Webb-Robertson BJ,Wen J,Weiss JM,Yang F,Yount B,Zhang Q,McWeeney S,Smith RD,Waters KM,Kawaoka Y,Baric R,Aderem A,Katze MG,Scheuermann RH","journal":"Sci Data","doi":"10.1038/sdata.2014.33","created_at":"2021-09-30T08:27:47.465Z","updated_at":"2021-09-30T08:27:47.465Z"},{"id":2826,"pubmed_id":25741011,"title":"Diversifying Selection Analysis Predicts Antigenic Evolution of 2009 Pandemic H1N1 Influenza A Virus in Humans.","year":2015,"url":"http://doi.org/10.1128/JVI.03636-14","authors":"Lee AJ,Das SR,Wang W,Fitzgerald T,Pickett BE,Aevermann BD,Topham DJ,Falsey AR,Scheuermann RH","journal":"J Virol","doi":"10.1128/JVI.03636-14","created_at":"2021-09-30T08:27:47.573Z","updated_at":"2021-09-30T08:27:47.573Z"},{"id":2827,"pubmed_id":27679478,"title":"Influenza Research Database: An integrated bioinformatics resource for influenza virus research.","year":2016,"url":"http://doi.org/10.1093/nar/gkw857","authors":"Zhang Y,Aevermann BD,Anderson TK,Burke DF,Dauphin G,Gu Z,He S,Kumar S,Larsen CN,Lee AJ,Li X,Macken C,Mahaffey C,Pickett BE,Reardon B,Smith T,Stewart L,Suloway C,Sun G,Tong L,Vincent AL,Walters B,Zaremba S,Zhao H,Zhou L,Zmasek C,Klem EB,Scheuermann RH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw857","created_at":"2021-09-30T08:27:47.725Z","updated_at":"2021-09-30T11:29:46.720Z"}],"licence_links":[],"grants":[{"id":596,"fairsharing_record_id":1726,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:24:37.346Z","updated_at":"2021-09-30T09:24:37.346Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":600,"fairsharing_record_id":1726,"organisation_id":2183,"relation":"maintains","created_at":"2021-09-30T09:24:37.495Z","updated_at":"2021-09-30T09:24:37.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2183,"name":"Northrop Grumman Health IT","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":598,"fairsharing_record_id":1726,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:37.415Z","updated_at":"2021-09-30T09:30:24.181Z","grant_id":696,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":597,"fairsharing_record_id":1726,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:37.378Z","updated_at":"2021-09-30T09:24:37.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":599,"fairsharing_record_id":1726,"organisation_id":3179,"relation":"maintains","created_at":"2021-09-30T09:24:37.458Z","updated_at":"2021-09-30T09:24:37.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":3179,"name":"Vecna Technologies","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1725","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-26T10:32:39.834Z","metadata":{"doi":"10.25504/FAIRsharing.3wdd17","name":"Antibody Registry","status":"ready","contacts":[{"contact_name":"Anita Bandrowski","contact_email":"abandrowski@ucsd.edu","contact_orcid":"0000-0002-5497-0243"}],"homepage":"https://antibodyregistry.org/","citations":[],"identifier":1725,"description":"The Antibody Registry exists to give researchers a way to universally identify antibodies used in publications. The registry lists many commercial antibodies from about 200 vendors which have each been assigned a unique identifier. If the antibody that you are using does not appear in the list, an entry can be made by filling in as little as 2 pieces of information: the catalog number and the url of the vendor where our curators can find information and material data sheets. Many optional fields can also be filled in that will help curators identify the reagent. After submitting an antibody, you are given a permanent identifier that can be used in publications. This identifier even if it is later found to be a duplicate, can be quickly traced back in the antibody registry. We never delete records, but we collapse duplicate entries on a regular basis (the old identifiers are kept to help with search).","abbreviation":null,"data_curation":{"url":"https://antibodyregistry.org/about","type":"manual","notes":"Curators review each record upon submission"},"support_links":[{"url":"abr-help@scicrunch.org","name":"Helpdesk","type":"Support email"},{"url":"https://antibodyregistry.org/about","name":"About the Antibody Registry","type":"Help documentation"}],"year_creation":2009,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010408","name":"re3data:r3d100010408","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006397","name":"SciCrunch:RRID:SCR_006397","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://antibodyregistry.org/about","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000182","bsg-d000182"],"name":"FAIRsharing record for: Antibody Registry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.3wdd17","doi":"10.25504/FAIRsharing.3wdd17","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Antibody Registry exists to give researchers a way to universally identify antibodies used in publications. The registry lists many commercial antibodies from about 200 vendors which have each been assigned a unique identifier. If the antibody that you are using does not appear in the list, an entry can be made by filling in as little as 2 pieces of information: the catalog number and the url of the vendor where our curators can find information and material data sheets. Many optional fields can also be filled in that will help curators identify the reagent. After submitting an antibody, you are given a permanent identifier that can be used in publications. This identifier even if it is later found to be a duplicate, can be quickly traced back in the antibody registry. We never delete records, but we collapse duplicate entries on a regular basis (the old identifiers are kept to help with search).","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11287}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Antibody","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":157,"pubmed_id":23900250,"title":"Finding the right antibody for the job.","year":2013,"url":"http://doi.org/10.1038/nmeth.2570","authors":"Marx V","journal":"Nat Methods","doi":"10.1038/nmeth.2570","created_at":"2021-09-30T08:22:37.290Z","updated_at":"2021-09-30T08:22:37.290Z"},{"id":3926,"pubmed_id":36370112,"title":"The Antibody Registry: ten years of registering antibodies.","year":2023,"url":"https://doi.org/10.1093/nar/gkac927","authors":"Bandrowski A, Pairish M, Eckmann P, Grethe J, Martone ME","journal":"Nucleic acids research","doi":"10.1093/nar/gkac927","created_at":"2023-06-23T15:33:36.985Z","updated_at":"2023-06-23T15:33:36.985Z"}],"licence_links":[{"licence_name":"Antibody Registry Terms of Use","licence_id":33,"licence_url":"https://antibodyregistry.org/terms-and-conditions","link_id":2328,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2329,"relation":"undefined"}],"grants":[{"id":594,"fairsharing_record_id":1725,"organisation_id":2144,"relation":"maintains","created_at":"2021-09-30T09:24:37.268Z","updated_at":"2021-09-30T09:24:37.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":595,"fairsharing_record_id":1725,"organisation_id":2037,"relation":"funds","created_at":"2021-09-30T09:24:37.299Z","updated_at":"2021-09-30T09:30:55.766Z","grant_id":938,"is_lead":false,"saved_state":{"id":2037,"name":"National Institutes of Health (NIH) Blueprint for Neuroscience Research, Bethesda, MD, USA","grant":"HHSN271200800035C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1813","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:15:14.535Z","metadata":{"doi":"10.25504/FAIRsharing.etp65g","name":"Catalogue of Transmission Genetics in Arabs","status":"ready","contacts":[{"contact_name":"Ghazi O. Tadmouri","contact_email":"tadmouri@hotmail.com","contact_orcid":"0000-0002-3895-5609"}],"homepage":"http://www.cags.org.ae/ctga/","citations":[],"identifier":1813,"description":"The Centre for Arab Genomic Studies (CAGS) initiated the ambitious project to establish the CTGA (Catalogue of Transmission Genetics in Arabs) database for genetic disorders in Arabs with the aim to enlighten the scientific community and the public on the occurrence of inherited disorders in Arabs and to suggest future investigation strategies.","abbreviation":"CTGA","data_curation":{"url":"https://cags.org.ae/en/ctga-submit-to-database","type":"manual/automated"},"support_links":[{"url":"cags@emirates.net.ae","type":"Support email"},{"url":"http://cags.org.ae/faqs/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cags.org.ae/ctga/submit/CTGA_Database_Information_Submission_Help_Topics.pdf","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"url":"https://cags.org.ae/en/aboutus","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.surveymonkey.com/r/CTGA2","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000273","bsg-d000273"],"name":"FAIRsharing record for: Catalogue of Transmission Genetics in Arabs","abbreviation":"CTGA","url":"https://fairsharing.org/10.25504/FAIRsharing.etp65g","doi":"10.25504/FAIRsharing.etp65g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Centre for Arab Genomic Studies (CAGS) initiated the ambitious project to establish the CTGA (Catalogue of Transmission Genetics in Arabs) database for genetic disorders in Arabs with the aim to enlighten the scientific community and the public on the occurrence of inherited disorders in Arabs and to suggest future investigation strategies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Genome","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Arab Emirates"],"publications":[{"id":1123,"pubmed_id":16381941,"title":"CTGA: the database for genetic disorders in Arab populations.","year":2005,"url":"http://doi.org/10.1093/nar/gkj015","authors":"Tadmouri GO., Al Ali MT., Al-Haj Ali S., Al Khaja N.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj015","created_at":"2021-09-30T08:24:24.381Z","updated_at":"2021-09-30T08:24:24.381Z"}],"licence_links":[],"grants":[{"id":829,"fairsharing_record_id":1813,"organisation_id":456,"relation":"maintains","created_at":"2021-09-30T09:24:45.591Z","updated_at":"2021-09-30T09:24:45.591Z","grant_id":null,"is_lead":false,"saved_state":{"id":456,"name":"Centre for Arab Genomic Studies, Dubai, United Arab Emirates","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1814","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:59:34.902Z","metadata":{"doi":"10.25504/FAIRsharing.mcqs21","name":"Insect Microsatellite Database","status":"ready","contacts":[{"contact_name":"Javaregowda Nagaraju","contact_email":"jnagaraju@cdfd.org.in"}],"homepage":"http://www.cdfd.org.in/insatdb","identifier":1814,"description":"InSatDb, unlike many other microsatellite databases that cater largely to the needs of microsatellites as markers, presents an interactive interface to query information regarding microsatellite characteristics of five fully sequenced insect genomes (fruit-fly, honeybee, malarial mosquito, red-flour beetle and silkworm).","abbreviation":"InSatDb","data_curation":{"type":"not found"},"support_links":[{"url":"http://cdfd.org.in/INSATDB/Tutorial.php","type":"Help documentation"},{"url":"http://cdfd.org.in/INSATDB/Glossary.php","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000274","bsg-d000274"],"name":"FAIRsharing record for: Insect Microsatellite Database","abbreviation":"InSatDb","url":"https://fairsharing.org/10.25504/FAIRsharing.mcqs21","doi":"10.25504/FAIRsharing.mcqs21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InSatDb, unlike many other microsatellite databases that cater largely to the needs of microsatellites as markers, presents an interactive interface to query information regarding microsatellite characteristics of five fully sequenced insect genomes (fruit-fly, honeybee, malarial mosquito, red-flour beetle and silkworm).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Microsatellite","Genome"],"taxonomies":["Anopheles gambiae","Apis","Apis mellifera","Bombyx mori","Drosophila","Drosophila melanogaster","Tribolium castaneum"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1292,"pubmed_id":17082205,"title":"InSatDb: a microsatellite database of fully sequenced insect genomes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl778","authors":"Archak S., Meduri E., Kumar PS., Nagaraju J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl778","created_at":"2021-09-30T08:24:44.201Z","updated_at":"2021-09-30T08:24:44.201Z"}],"licence_links":[],"grants":[{"id":830,"fairsharing_record_id":1814,"organisation_id":460,"relation":"maintains","created_at":"2021-09-30T09:24:45.633Z","updated_at":"2021-09-30T09:24:45.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":460,"name":"Centre for DNA Fingerprinting and Diagnostics, Hyderabad, Telangana, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1816","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:01.445Z","metadata":{"doi":"10.25504/FAIRsharing.j7j53","name":"Candida Genome Database","status":"ready","contacts":[{"contact_name":"Martha B. Arnaud","contact_email":"arnaudm@stanford.edu"}],"homepage":"http://www.candidagenome.org/","identifier":1816,"description":"The Candida Genome Database (CGD) provides access to genomic sequence data and manually curated functional information about genes and proteins of the human pathogen Candida albicans. It collects gene names and aliases, and assigns gene ontology terms to describe the molecular function, biological process, and subcellular localization of gene products.","abbreviation":"CGD","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.candidagenome.org/cgi-bin/suggestion","type":"Contact form"},{"url":"candida-curator@lists.stanford.edu","type":"Support email"},{"url":"http://www.candidagenome.org/HelpContents.shtml","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"http://www.candidagenome.org/cgi-bin/compute/blast_clade.pl","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010617","name":"re3data:r3d100010617","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002036","name":"SciCrunch:RRID:SCR_002036","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.candidagenome.org/cgi-bin/registry/geneRegistry","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000276","bsg-d000276"],"name":"FAIRsharing record for: Candida Genome Database","abbreviation":"CGD","url":"https://fairsharing.org/10.25504/FAIRsharing.j7j53","doi":"10.25504/FAIRsharing.j7j53","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Candida Genome Database (CGD) provides access to genomic sequence data and manually curated functional information about genes and proteins of the human pathogen Candida albicans. It collects gene names and aliases, and assigns gene ontology terms to describe the molecular function, biological process, and subcellular localization of gene products.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19991}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Nucleotide","Pathogen","Curated information","Genome"],"taxonomies":["Candida"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":329,"pubmed_id":15608216,"title":"The Candida Genome Database (CGD), a community resource for Candida albicans gene and protein information.","year":2004,"url":"http://doi.org/10.1093/nar/gki003","authors":"Arnaud MB., Costanzo MC., Skrzypek MS., Binkley G., Lane C., Miyasato SR., Sherlock G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki003","created_at":"2021-09-30T08:22:55.307Z","updated_at":"2021-09-30T08:22:55.307Z"},{"id":1489,"pubmed_id":22064862,"title":"The Candida genome database incorporates multiple Candida species: multispecies search and analysis tools with curated gene and protein information for Candida albicans and Candida glabrata.","year":2011,"url":"http://doi.org/10.1093/nar/gkr945","authors":"Inglis DO., Arnaud MB., Binkley J., Shah P., Skrzypek MS., Wymore F., Binkley G., Miyasato SR., Simison M., Sherlock G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr945","created_at":"2021-09-30T08:25:06.676Z","updated_at":"2021-09-30T08:25:06.676Z"}],"licence_links":[],"grants":[{"id":832,"fairsharing_record_id":1816,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:24:45.725Z","updated_at":"2021-09-30T09:24:45.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":833,"fairsharing_record_id":1816,"organisation_id":2013,"relation":"funds","created_at":"2021-09-30T09:24:45.762Z","updated_at":"2021-09-30T09:29:54.939Z","grant_id":466,"is_lead":false,"saved_state":{"id":2013,"name":"National Institute of Dental and Craniofacial Research (NIDCR), Rockville, MD, USA","grant":"R01 DE015873","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1817","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T18:56:55.867Z","metadata":{"doi":"10.25504/FAIRsharing.rgb21","name":"Receptor Tyrosine Kinase database","status":"deprecated","contacts":[{"contact_email":"perriere@biomserv.univ-lyon1.fr"}],"homepage":"http://pbil.univ-lyon1.fr/RTKdb/","citations":[],"identifier":1817,"description":"A database dedicated to the tyrosine kinase recepter.","abbreviation":"RTKdb","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://pbil.univ-lyon1.fr/RTKdb/","name":"search"},{"url":"http://pbil.univ-lyon1.fr/RTKdb/","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000277","bsg-d000277"],"name":"FAIRsharing record for: Receptor Tyrosine Kinase database","abbreviation":"RTKdb","url":"https://fairsharing.org/10.25504/FAIRsharing.rgb21","doi":"10.25504/FAIRsharing.rgb21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database dedicated to the tyrosine kinase recepter.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Protein"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus","Xenopus laevis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":332,"pubmed_id":12520021,"title":"RTKdb: database of Receptor Tyrosine Kinase.","year":2003,"url":"http://doi.org/10.1093/nar/gkg036","authors":"Grassot J., Mouchiroud G., Perrière G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg036","created_at":"2021-09-30T08:22:55.749Z","updated_at":"2021-09-30T08:22:55.749Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1818","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:34:21.618Z","metadata":{"doi":"10.25504/FAIRsharing.1tbrdz","name":"Coli Genetic Stock Center","status":"ready","contacts":[{"contact_name":"John Wertz","contact_email":"john.wertz@yale.edu"}],"homepage":"https://cgsc.biology.yale.edu/","citations":[],"identifier":1818,"description":"The CGSC Database of E. coli genetic information includes genotypes and reference information for the strains in the CGSC collection, the names, synonyms, properties, and map position for genes, gene product information, and information on specific mutations and references to primary literature.","abbreviation":"CGSC","data_curation":{"type":"not found"},"support_links":[{"url":"CGSC@yale.edu","type":"Support email"},{"url":"http://cgsc.biology.yale.edu/FAQonProcs.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cgsc.biology.yale.edu/cgsc.php","type":"Help documentation"}],"year_creation":1989,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010585","name":"re3data:r3d100010585","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002303","name":"SciCrunch:RRID:SCR_002303","portal":"SciCrunch"}],"data_access_condition":{"type":"partially open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000278","bsg-d000278"],"name":"FAIRsharing record for: Coli Genetic Stock Center","abbreviation":"CGSC","url":"https://fairsharing.org/10.25504/FAIRsharing.1tbrdz","doi":"10.25504/FAIRsharing.1tbrdz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CGSC Database of E. coli genetic information includes genotypes and reference information for the strains in the CGSC collection, the names, synonyms, properties, and map position for genes, gene product information, and information on specific mutations and references to primary literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence position","Genome map","Gene name","Mutation analysis","Gene","Genotype","Genetic strain"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1563,"pubmed_id":17352909,"title":"Strain collections and genetic nomenclature.","year":2007,"url":"http://doi.org/10.1016/S0076-6879(06)21001-2","authors":"Maloy SR., Hughes KT.,","journal":"Meth. Enzymol.","doi":"10.1016/S0076-6879(06)21001-2","created_at":"2021-09-30T08:25:15.284Z","updated_at":"2021-09-30T08:25:15.284Z"}],"licence_links":[],"grants":[{"id":834,"fairsharing_record_id":1818,"organisation_id":551,"relation":"maintains","created_at":"2021-09-30T09:24:45.795Z","updated_at":"2021-09-30T09:24:45.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":551,"name":"Coli Genetic Stock Center (CGSC), Yale University, New Haven, CT, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1819","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:57:44.005Z","metadata":{"doi":"10.25504/FAIRsharing.p2brza","name":"Human siRNA database","status":"deprecated","contacts":[{"contact_name":"Matthias Truss","contact_email":"Matthias.Truss@Charite.de"}],"homepage":"http://itb.biologie.hu-berlin.de/~nebulus/sirna/index.htm","identifier":1819,"description":"HuSiDa is a public database that serves as a depository for both, sequences of published functional siRNA molecules targeting human genes and important technical details of the corresponding gene silencing experiments. It aims at supporting the setup and actual procedure of specific RNAi experiments in human cells.","abbreviation":"HuSiDa","data_curation":{"type":"not found"},"support_links":[{"url":"http://itb.biologie.hu-berlin.de/~nebulus/sirna/instruct.htm","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000279","bsg-d000279"],"name":"FAIRsharing record for: Human siRNA database","abbreviation":"HuSiDa","url":"https://fairsharing.org/10.25504/FAIRsharing.p2brza","doi":"10.25504/FAIRsharing.p2brza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HuSiDa is a public database that serves as a depository for both, sequences of published functional siRNA molecules targeting human genes and important technical details of the corresponding gene silencing experiments. It aims at supporting the setup and actual procedure of specific RNAi experiments in human cells.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12631}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Ribonucleic acid","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":345,"pubmed_id":15608157,"title":"HuSiDa--the human siRNA database: an open-access database for published functional siRNA sequences and technical details of efficient transfer into recipient cells.","year":2004,"url":"http://doi.org/10.1093/nar/gki131","authors":"Truss M., Swat M., Kielbasa SM., Schäfer R., Herzel H., Hagemeier C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki131","created_at":"2021-09-30T08:22:57.174Z","updated_at":"2021-09-30T08:22:57.174Z"}],"licence_links":[],"grants":[{"id":836,"fairsharing_record_id":1819,"organisation_id":494,"relation":"maintains","created_at":"2021-09-30T09:24:45.843Z","updated_at":"2021-09-30T09:24:45.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":494,"name":"Charite - University Medicine Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":837,"fairsharing_record_id":1819,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:45.924Z","updated_at":"2021-09-30T09:24:45.924Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9353,"fairsharing_record_id":1819,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.562Z","updated_at":"2022-04-11T12:07:32.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1820","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:16.301Z","metadata":{"doi":"10.25504/FAIRsharing.kd39j4","name":"IRESite","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"ires@iresite.org"}],"homepage":"http://www.iresite.org","identifier":1820,"description":"The IRESite database presents information about experimentally studied IRES (Internal Ribosome Entry Site) segments. IRES regions are known to attract the eukaryotic ribosomal translation initiation complex and thus promote translation initiation independently of the presence of the commonly utilized 5'-terminal 7mG cap structure.","abbreviation":"IRESite","data_curation":{"url":"http://www.iresite.org/IRESite_web.php?page=faq","type":"manual","notes":"Curators extract data from published articles and help scientist to enter their own data, published or not."},"support_links":[{"url":"http://www.iresite.org/IRESite_web.php?page=faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.iresite.org/IRESite_web.php?page=info_for_submiters","type":"open","notes":"Free login is required for data submission."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000280","bsg-d000280"],"name":"FAIRsharing record for: IRESite","abbreviation":"IRESite","url":"https://fairsharing.org/10.25504/FAIRsharing.kd39j4","doi":"10.25504/FAIRsharing.kd39j4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IRESite database presents information about experimentally studied IRES (Internal Ribosome Entry Site) segments. IRES regions are known to attract the eukaryotic ribosomal translation initiation complex and thus promote translation initiation independently of the presence of the commonly utilized 5'-terminal 7mG cap structure.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Nucleic acid sequence","Peptide","Ribosomal RNA","Ribonucleic acid","Biological regulation","Plasmid"],"taxonomies":["Eukaryota","Viruses"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1597,"pubmed_id":16381829,"title":"IRESite: the database of experimentally verified IRES structures (www.iresite.org).","year":2005,"url":"http://doi.org/10.1093/nar/gkj081","authors":"Mokrejs M., Vopálenský V., Kolenaty O., Masek T., Feketová Z., Sekyrová P., Skaloudová B., Kríz V., Pospísek M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj081","created_at":"2021-09-30T08:25:19.079Z","updated_at":"2021-09-30T08:25:19.079Z"},{"id":1615,"pubmed_id":19917642,"title":"IRESite--a tool for the examination of viral and cellular internal ribosome entry sites.","year":2009,"url":"http://doi.org/10.1093/nar/gkp981","authors":"Mokrejs M., Masek T., Vopálensky V., Hlubucek P., Delbos P., Pospísek M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp981","created_at":"2021-09-30T08:25:20.977Z","updated_at":"2021-09-30T08:25:20.977Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":278,"relation":"undefined"}],"grants":[{"id":839,"fairsharing_record_id":1820,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:24:46.004Z","updated_at":"2021-09-30T09:32:17.453Z","grant_id":1550,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LC06066","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":838,"fairsharing_record_id":1820,"organisation_id":495,"relation":"maintains","created_at":"2021-09-30T09:24:45.966Z","updated_at":"2021-09-30T09:24:45.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":495,"name":"Charles University, Prague, Czech Republic","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":840,"fairsharing_record_id":1820,"organisation_id":633,"relation":"funds","created_at":"2021-09-30T09:24:46.041Z","updated_at":"2021-09-30T09:29:17.861Z","grant_id":183,"is_lead":false,"saved_state":{"id":633,"name":"Czech Science Foundation (GACR), Czech Republic","grant":"301/07/0607","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1821","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:28:43.174Z","metadata":{"doi":"10.25504/FAIRsharing.yp3rcg","name":"Eukaryotic Paralog Group Database","status":"deprecated","contacts":[{"contact_name":"Guohui Ding","contact_email":"ghding@gmail.com"}],"homepage":"http://epgd.biosino.org/EPGD/","identifier":1821,"description":"The database is gene-centered and organized by paralog family. It focused on the paralogs and the duplication events in the evolution. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website in plain text files.","abbreviation":"EPGD","data_curation":{"type":"not found"},"support_links":[{"url":"http://epgd.biosino.org/EPGD/help.jsp","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://epgd.biosino.org/EPGD/search/adseqsearch.jsp","name":"advanced search"},{"url":"http://epgd.biosino.org/EPGD/search/adseqsearch.jsp","name":"advanced search"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000281","bsg-d000281"],"name":"FAIRsharing record for: Eukaryotic Paralog Group Database","abbreviation":"EPGD","url":"https://fairsharing.org/10.25504/FAIRsharing.yp3rcg","doi":"10.25504/FAIRsharing.yp3rcg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database is gene-centered and organized by paralog family. It focused on the paralogs and the duplication events in the evolution. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website in plain text files.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Gene"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":344,"pubmed_id":17984073,"title":"EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information.","year":2007,"url":"http://doi.org/10.1093/nar/gkm924","authors":"Ding G., Sun Y., Li H., Wang Z., Fan H., Wang C., Yang D., Li Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm924","created_at":"2021-09-30T08:22:57.074Z","updated_at":"2021-09-30T08:22:57.074Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":279,"relation":"undefined"}],"grants":[{"id":841,"fairsharing_record_id":1821,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.083Z","updated_at":"2021-09-30T09:24:46.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":842,"fairsharing_record_id":1821,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:46.125Z","updated_at":"2021-09-30T09:31:31.595Z","grant_id":1209,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2006CB910700","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1822","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T14:46:12.496Z","metadata":{"doi":"10.25504/FAIRsharing.mtg4ew","name":"The Database of Human DNA Methylation and Cancer","status":"deprecated","contacts":[{"contact_name":"Jing Wang","contact_email":"wangjing@genomics.org.cn"}],"homepage":"http://methycancer.psych.ac.cn/","citations":[],"identifier":1822,"description":"The database of human DNA Methylation and Cancer (MethyCancer) is developed to study interplay of DNA methylation, gene expression and cancer. It hosts both highly integrated data of DNA methylation, cancer-related gene, mutation and cancer information from public resources, and the CpG Island (CGI) clones derived from our large-scale sequencing.","abbreviation":"MethyCancer","data_curation":{"type":"not found"},"support_links":[{"url":"http://methycancer.psych.ac.cn/Doclinks.do","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://methycancer.psych.ac.cn/Blast.do","name":"BLAST"}],"deprecation_date":"2023-03-20","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000282","bsg-d000282"],"name":"FAIRsharing record for: The Database of Human DNA Methylation and Cancer","abbreviation":"MethyCancer","url":"https://fairsharing.org/10.25504/FAIRsharing.mtg4ew","doi":"10.25504/FAIRsharing.mtg4ew","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database of human DNA Methylation and Cancer (MethyCancer) is developed to study interplay of DNA methylation, gene expression and cancer. It hosts both highly integrated data of DNA methylation, cancer-related gene, mutation and cancer information from public resources, and the CpG Island (CGI) clones derived from our large-scale sequencing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Expression data","Deoxyribonucleic acid","Cancer","DNA methylation","Small molecule","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":340,"pubmed_id":17890243,"title":"MethyCancer: the database of human DNA methylation and cancer.","year":2007,"url":"http://doi.org/10.1093/nar/gkm730","authors":"He X., Chang S., Zhang J., Zhao Q., Xiang H., Kusonmano K., Yang L., Sun ZS., Yang H., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm730","created_at":"2021-09-30T08:22:56.591Z","updated_at":"2021-09-30T08:22:56.591Z"}],"licence_links":[],"grants":[{"id":844,"fairsharing_record_id":1822,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.194Z","updated_at":"2021-09-30T09:24:46.194Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":843,"fairsharing_record_id":1822,"organisation_id":12,"relation":"funds","created_at":"2021-09-30T09:24:46.162Z","updated_at":"2021-09-30T09:30:05.806Z","grant_id":549,"is_lead":false,"saved_state":{"id":12,"name":"863 Program, National High Technology Research and Development Program of China","grant":"2006AA02A304","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1823","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:42:03.999Z","metadata":{"doi":"10.25504/FAIRsharing.3cswbc","name":"MiCroKiTS","status":"ready","contacts":[{"contact_name":"Zexian Liu","contact_email":"lzx.bioinfo@gmail.com","contact_orcid":"0000-0001-9698-0610"}],"homepage":"http://microkit.biocuckoo.org/","citations":[],"identifier":1823,"description":"This resource is a collection of all proteins identified to be localized on kinetochore, centrosome, midbody, telomere and spindle from two fungi (S. cerevisiae and S. pombe) and five animals, including C. elegans, D. melanogaster, X. laevis, M. musculus and H. sapiens based on the rationale of \"Seeing is believing\" (Bloom K et al., 2005). Through ortholog searches, the proteins potentially localized at these sub-cellular regions were detected in 144 eukaryotes. Then the integrated and searchable database MiCroKiTS - Midbody, Centrosome, Kinetochore, Telomere and Spindle has been established. Currently, the MiCroKiTS 4.0 database was updated on Sep. 6, 2014, containing 87,983 unique protein entries.","abbreviation":"MiCroKiTS","data_curation":{"type":"not found"},"support_links":[{"url":"http://microkit.biocuckoo.org/userguide.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010550","name":"re3data:r3d100010550","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007052","name":"SciCrunch:RRID:SCR_007052","portal":"SciCrunch"}],"data_access_condition":{"url":"http://microkit.biocuckoo.org/download.php","type":"partially open","notes":"Only freely available for academic research, for commercial usage it isn't,"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000283","bsg-d000283"],"name":"FAIRsharing record for: MiCroKiTS","abbreviation":"MiCroKiTS","url":"https://fairsharing.org/10.25504/FAIRsharing.3cswbc","doi":"10.25504/FAIRsharing.3cswbc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource is a collection of all proteins identified to be localized on kinetochore, centrosome, midbody, telomere and spindle from two fungi (S. cerevisiae and S. pombe) and five animals, including C. elegans, D. melanogaster, X. laevis, M. musculus and H. sapiens based on the rationale of \"Seeing is believing\" (Bloom K et al., 2005). Through ortholog searches, the proteins potentially localized at these sub-cellular regions were detected in 144 eukaryotes. Then the integrated and searchable database MiCroKiTS - Midbody, Centrosome, Kinetochore, Telomere and Spindle has been established. Currently, the MiCroKiTS 4.0 database was updated on Sep. 6, 2014, containing 87,983 unique protein entries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Xenopus laevis"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":342,"pubmed_id":19783819,"title":"MiCroKit 3.0: an integrated database of midbody, centrosome and kinetochore.","year":2009,"url":"http://doi.org/10.1093/nar/gkp784","authors":"Ren J., Liu Z., Gao X., Jin C., Ye M., Zou H., Wen L., Zhang Z., Xue Y., Yao X.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp784","created_at":"2021-09-30T08:22:56.874Z","updated_at":"2021-09-30T08:22:56.874Z"},{"id":1252,"pubmed_id":25392421,"title":"MiCroKiTS 4.0: a database of midbody, centrosome, kinetochore, telomere and spindle.","year":2014,"url":"http://doi.org/10.1093/nar/gku1125","authors":"Huang Z,Ma L,Wang Y,Pan Z,Ren J,Liu Z,Xue Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1125","created_at":"2021-09-30T08:24:39.655Z","updated_at":"2021-09-30T11:29:04.101Z"}],"licence_links":[],"grants":[{"id":846,"fairsharing_record_id":1823,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.243Z","updated_at":"2021-09-30T09:24:46.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":845,"fairsharing_record_id":1823,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:46.218Z","updated_at":"2021-09-30T09:30:43.365Z","grant_id":839,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2013CB933900","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":847,"fairsharing_record_id":1823,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:46.275Z","updated_at":"2021-09-30T09:29:07.544Z","grant_id":104,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31171263","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1824","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:43:41.624Z","metadata":{"doi":"10.25504/FAIRsharing.e4937j","name":"Shanghai Rapeseed Database","status":"deprecated","contacts":[{"contact_email":"rapeseed@sibs.ac.cn"}],"homepage":"http://rapeseed.plantsignal.cn","citations":[],"identifier":1824,"description":"Shanghai RAPESEED Database: a resource for functional genomics studies of seed development and fatty acid metabolism of Brassica.","abbreviation":"SRD","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://rapeseed.plantsignal.cn/search.do","name":"search"},{"url":"http://rapeseed.plantsignal.cn/newBlastTask.do","name":"BLAST"},{"url":"http://rapeseed.plantsignal.cn/search.do","name":"search"},{"url":"http://rapeseed.plantsignal.cn/newBlastTask.do","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000284","bsg-d000284"],"name":"FAIRsharing record for: Shanghai Rapeseed Database","abbreviation":"SRD","url":"https://fairsharing.org/10.25504/FAIRsharing.e4937j","doi":"10.25504/FAIRsharing.e4937j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Shanghai RAPESEED Database: a resource for functional genomics studies of seed development and fatty acid metabolism of Brassica.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Brassica napus"],"user_defined_tags":[],"countries":["China","United States"],"publications":[{"id":326,"pubmed_id":17916574,"title":"Shanghai RAPESEED Database: a resource for functional genomics studies of seed development and fatty acid metabolism of Brassica.","year":2007,"url":"http://doi.org/10.1093/nar/gkm780","authors":"Wu GZ., Shi QM., Niu Y., Xing MQ., Xue HW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm780","created_at":"2021-09-30T08:22:54.990Z","updated_at":"2021-09-30T08:22:54.990Z"}],"licence_links":[],"grants":[{"id":848,"fairsharing_record_id":1824,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.316Z","updated_at":"2021-09-30T09:24:46.316Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1825","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:09.317Z","metadata":{"doi":"10.25504/FAIRsharing.f8pqxt","name":"GenomeTraFaC","status":"deprecated","contacts":[{"contact_name":"Anil Jegga","contact_email":"anil.jegga@cchmc.org"}],"homepage":"http://genometrafac.cchmc.org","identifier":1825,"description":"GenomeTraFaC is a database of conserved regulatory elements obtained by systematically analyzing the orthologous set of human and mouse genes. It mainly focuses on all of the high-quality mRNA entries of mouse and human genes in the Reference Sequence (RefSeq) database of the NCBI.","abbreviation":"GenomeTraFaC","data_curation":{"type":"not found"},"support_links":[{"url":"http://info.cchmc.org/help/genometrafac/index.html#faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://info.cchmc.org/help/genometrafac/index.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000285","bsg-d000285"],"name":"FAIRsharing record for: GenomeTraFaC","abbreviation":"GenomeTraFaC","url":"https://fairsharing.org/10.25504/FAIRsharing.f8pqxt","doi":"10.25504/FAIRsharing.f8pqxt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenomeTraFaC is a database of conserved regulatory elements obtained by systematically analyzing the orthologous set of human and mouse genes. It mainly focuses on all of the high-quality mRNA entries of mouse and human genes in the Reference Sequence (RefSeq) database of the NCBI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Ribonucleic acid","Biological regulation","Gene regulatory element","Messenger RNA"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1940,"pubmed_id":17178752,"title":"GenomeTrafac: a whole genome resource for the detection of transcription factor binding site clusters associated with conventional and microRNA encoding genes conserved between mouse and human gene orthologs.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1011","authors":"Jegga AG., Chen J., Gowrisankar S., Deshmukh MA., Gudivada R., Kong S., Kaimal V., Aronow BJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1011","created_at":"2021-09-30T08:25:58.339Z","updated_at":"2021-09-30T08:25:58.339Z"}],"licence_links":[],"grants":[{"id":851,"fairsharing_record_id":1825,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:46.430Z","updated_at":"2021-09-30T09:31:03.343Z","grant_id":995,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"UO1 CA84291-07","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":849,"fairsharing_record_id":1825,"organisation_id":521,"relation":"maintains","created_at":"2021-09-30T09:24:46.358Z","updated_at":"2021-09-30T09:24:46.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":521,"name":"Cincinnati Children's Hospital Medical Center, OH, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":850,"fairsharing_record_id":1825,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:24:46.396Z","updated_at":"2021-09-30T09:24:46.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1826","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:09.580Z","metadata":{"doi":"10.25504/FAIRsharing.c1rep3","name":"PolyDoms","status":"deprecated","contacts":[{"contact_name":"Anil Jegga","contact_email":"anil.jegga@cchmc.org"}],"homepage":"http://polydoms.cchmc.org","identifier":1826,"description":"An integrated database of human coding single nucleotide polymorphisms (SNPs) and their annotations.","abbreviation":"PolyDoms","data_curation":{"type":"not found"},"support_links":[{"url":"http://info.chmcc.org/help/polydoms/index.html","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000286","bsg-d000286"],"name":"FAIRsharing record for: PolyDoms","abbreviation":"PolyDoms","url":"https://fairsharing.org/10.25504/FAIRsharing.c1rep3","doi":"10.25504/FAIRsharing.c1rep3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated database of human coding single nucleotide polymorphisms (SNPs) and their annotations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Single nucleotide polymorphism"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3103,"pubmed_id":17142238,"title":"PolyDoms: a whole genome database for the identification of non-synonymous coding SNPs with the potential to impact disease.","year":2006,"url":"http://doi.org/10.1093/nar/gkl826","authors":"Jegga AG,Gowrisankar S,Chen J,Aronow BJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl826","created_at":"2021-09-30T08:28:22.225Z","updated_at":"2021-09-30T11:29:51.179Z"}],"licence_links":[],"grants":[{"id":852,"fairsharing_record_id":1826,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:24:46.476Z","updated_at":"2021-09-30T09:24:46.476Z","grant_id":null,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":853,"fairsharing_record_id":1826,"organisation_id":521,"relation":"maintains","created_at":"2021-09-30T09:24:46.513Z","updated_at":"2021-09-30T09:24:46.513Z","grant_id":null,"is_lead":false,"saved_state":{"id":521,"name":"Cincinnati Children's Hospital Medical Center, OH, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1827","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:33:44.569Z","metadata":{"doi":"10.25504/FAIRsharing.j98570","name":"GreenPhylDB: A phylogenomic database for plant comparative genomics","status":"ready","contacts":[{"contact_name":"Mathieu Rouard","contact_email":"greenphyldb@cirad.fr"}],"homepage":"http://www.greenphyl.org","citations":[],"identifier":1827,"description":"GreenPhylDB comprises 37 full genomes from the major phylum of plant evolution. Clustering of these genomes was performed to define a consistent and extensive set of homeomorphic plant families.","abbreviation":"GreenPhyl","data_curation":{"url":"https://www.greenphyl.org/cgi-bin/documentation.cgi?page=methodology","type":"manual","notes":"Clusters are checked by curators using a dedicated interface."},"support_links":[{"url":"http://www.greenphyl.org/cgi-bin/documentation.cgi?page=faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.greenphyl.org/cgi-bin/documentation.cgi?page=overview","type":"Help documentation"},{"url":"http://www.greenphyl.org/cgi-bin/documentation.cgi?page=team","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://www.greenphyl.org/cgi-bin/blast.cgi","name":"BLAST"},{"url":"http://www.greenphyl.org/cgi-bin/quick_search.cgi","name":"search"},{"url":"http://www.greenphyl.org/cgi-bin/treepattern.cgi","name":"TreePattern"},{"url":"http://www.greenphyl.org/cgi-bin/ipr2genomes.cgi","name":"Interpro domain search"},{"url":"http://www.greenphyl.org/cgi-bin/families.cgi?p=list\u0026type=validated","name":"browse"},{"url":"http://www.greenphyl.org/cgi-bin/search_families.cgi","name":"advanced search"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000287","bsg-d000287"],"name":"FAIRsharing record for: GreenPhylDB: A phylogenomic database for plant comparative genomics","abbreviation":"GreenPhyl","url":"https://fairsharing.org/10.25504/FAIRsharing.j98570","doi":"10.25504/FAIRsharing.j98570","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GreenPhylDB comprises 37 full genomes from the major phylum of plant evolution. Clustering of these genomes was performed to define a consistent and extensive set of homeomorphic plant families.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenomics","Life Science"],"domains":["Sequence cluster","Homologous","Orthologous","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":346,"pubmed_id":20864446,"title":"GreenPhylDB v2.0: comparative and functional genomics in plants.","year":2010,"url":"http://doi.org/10.1093/nar/gkq811","authors":"Rouard M., Guignon V., Aluome C., Laporte MA., Droc G., Walde C., Zmasek CM., Périn C., Conte MG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq811","created_at":"2021-09-30T08:22:57.274Z","updated_at":"2021-09-30T08:22:57.274Z"}],"licence_links":[{"licence_name":"GreenPhyl Terms of Service","licence_id":365,"licence_url":"http://www.greenphyl.org/cgi-bin/tos.cgi","link_id":923,"relation":"undefined"}],"grants":[{"id":856,"fairsharing_record_id":1827,"organisation_id":2603,"relation":"maintains","created_at":"2021-09-30T09:24:46.626Z","updated_at":"2021-09-30T09:24:46.626Z","grant_id":null,"is_lead":false,"saved_state":{"id":2603,"name":"South Green","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":854,"fairsharing_record_id":1827,"organisation_id":1101,"relation":"maintains","created_at":"2021-09-30T09:24:46.550Z","updated_at":"2021-09-30T09:24:46.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":1101,"name":"Generation Challenge Programme, Mexico","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":855,"fairsharing_record_id":1827,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:24:46.589Z","updated_at":"2021-09-30T09:24:46.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":857,"fairsharing_record_id":1827,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.675Z","updated_at":"2021-09-30T09:24:46.675Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1828","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:04.537Z","metadata":{"doi":"10.25504/FAIRsharing.7m4hza","name":"OryGenesDB: an interactive tool for rice reverse genetics","status":"ready","contacts":[{"contact_name":"Pierre Larmande","contact_email":"pierre.larmande@cirad.fr","contact_orcid":"0000-0002-2923-9790"}],"homepage":"http://orygenesdb.cirad.fr/","identifier":1828,"description":"The aim of this Oryza sativa database was first to display sequence information such as the T-DNA and Ds flanking sequence tags (FSTs) produced in the framework of the French genomics initiative Genoplante and the EU consortium Cereal Gene Tags. This information was later linked with related molecular data from external rice molecular resources (cDNA full length, Gene, EST, Markers, Expression data...).","abbreviation":"OryGenesDB","data_curation":{"type":"automated"},"support_links":[{"url":"orygenesdb@cirad.fr","type":"Support email"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://orygenesdb.cirad.fr/blast.html","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000288","bsg-d000288"],"name":"FAIRsharing record for: OryGenesDB: an interactive tool for rice reverse genetics","abbreviation":"OryGenesDB","url":"https://fairsharing.org/10.25504/FAIRsharing.7m4hza","doi":"10.25504/FAIRsharing.7m4hza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of this Oryza sativa database was first to display sequence information such as the T-DNA and Ds flanking sequence tags (FSTs) produced in the framework of the French genomics initiative Genoplante and the EU consortium Cereal Gene Tags. This information was later linked with related molecular data from external rice molecular resources (cDNA full length, Gene, EST, Markers, Expression data...).","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16715}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","DNA sequence data","Deoxyribonucleic acid","Flanking region","Sequence tag","Gene","Complementary DNA"],"taxonomies":["Oryza","Oryza sativa"],"user_defined_tags":["Flanking Sequence Tags (FST)"],"countries":["France"],"publications":[{"id":341,"pubmed_id":19036791,"title":"OryGenesDB 2008 update: database interoperability for functional genomics of rice.","year":2008,"url":"http://doi.org/10.1093/nar/gkn821","authors":"Droc G., Périn C., Fromentin S., Larmande P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn821","created_at":"2021-09-30T08:22:56.775Z","updated_at":"2021-09-30T08:22:56.775Z"}],"licence_links":[],"grants":[{"id":858,"fairsharing_record_id":1828,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.717Z","updated_at":"2021-09-30T09:24:46.717Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1829","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:53:49.249Z","metadata":{"doi":"10.25504/FAIRsharing.61c2x6","name":"Oryza Tag Line","status":"ready","contacts":[{"contact_email":"oryzatagline@cirad.fr"}],"homepage":"http://oryzatagline.cirad.fr/","identifier":1829,"description":"Oryza Tag Line consists in a searchable database developed under the Oracle management system integrating phenotypic data resulting from the evaluation of the Genoplante rice insertion line library.","abbreviation":"OTL","data_curation":{"type":"not found"},"support_links":[{"url":"oryzatagline@cirad.fr","type":"Support email"},{"url":"http://oryzatagline.cirad.fr/help.htm","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000289","bsg-d000289"],"name":"FAIRsharing record for: Oryza Tag Line","abbreviation":"OTL","url":"https://fairsharing.org/10.25504/FAIRsharing.61c2x6","doi":"10.25504/FAIRsharing.61c2x6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Oryza Tag Line consists in a searchable database developed under the Oracle management system integrating phenotypic data resulting from the evaluation of the Genoplante rice insertion line library.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","DNA sequence data","Deoxyribonucleic acid","Phenotype","Messenger RNA","Complementary DNA"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":331,"pubmed_id":17947330,"title":"Oryza Tag Line, a phenotypic mutant database for the Genoplante rice insertion line library.","year":2007,"url":"http://doi.org/10.1093/nar/gkm762","authors":"Larmande P., Gay C., Lorieux M., Périn C., Bouniol M., Droc G., Sallaud C., Perez P., Barnola I., Biderre-Petit C., Martin J., Morel JB., Johnson AA., Bourgis F., Ghesquière A., Ruiz M., Courtois B., Guiderdoni E.,","journal":"Nucleic Acids Res.","doi":"17947330","created_at":"2021-09-30T08:22:55.657Z","updated_at":"2021-09-30T08:22:55.657Z"}],"licence_links":[],"grants":[{"id":859,"fairsharing_record_id":1829,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.755Z","updated_at":"2021-09-30T09:24:46.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1801","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:47.231Z","metadata":{"doi":"10.25504/FAIRsharing.x8xt3k","name":"PhosphoSite Plus","status":"ready","contacts":[{"contact_name":"general contact","contact_email":"EditorPhosphoSite@cellsignal.com"}],"homepage":"http://www.phosphosite.org","citations":[],"identifier":1801,"description":"PhosphoSite Plus provides extensive information on mammalian post-translational modifications (PTMs). The resource supersedes PhosphoSite a mammalian protein database that provides information about in vivo phosphorylation sites.","abbreviation":"PSP","data_curation":{"url":"http://www.phosphosite.org/staticCurationProcess.do","type":"manual/automated","notes":"Curation Process"},"support_links":[{"url":"http://www.phosphosite.org/staticContact.do","type":"Contact form"},{"url":"http://www.phosphosite.org/staticUsingPhosphosite.do","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"https://www.phosphosite.org/staticMotifAnalysis.action","name":"Motif Analysis"},{"url":"https://www.phosphosite.org/sequenceLogoAction.action","name":"Sequence Logo Analysis"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000261","bsg-d000261"],"name":"FAIRsharing record for: PhosphoSite Plus","abbreviation":"PSP","url":"https://fairsharing.org/10.25504/FAIRsharing.x8xt3k","doi":"10.25504/FAIRsharing.x8xt3k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhosphoSite Plus provides extensive information on mammalian post-translational modifications (PTMs). The resource supersedes PhosphoSite a mammalian protein database that provides information about in vivo phosphorylation sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Proteomics","Life Science"],"domains":["Molecular structure","Phosphorylation","Signaling","Small molecule","Structure","Protein"],"taxonomies":["Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":313,"pubmed_id":12478304,"title":"The Molecule Pages database.","year":2002,"url":"http://doi.org/10.1038/nature01307","authors":"Li J., Ning Y., Hedley W., Saunders B., Chen Y., Tindill N., Hannay T., Subramaniam S.,","journal":"Nature","doi":"10.1038/nature01307","created_at":"2021-09-30T08:22:53.582Z","updated_at":"2021-09-30T08:22:53.582Z"},{"id":1589,"pubmed_id":15174125,"title":"PhosphoSite: A bioinformatics resource dedicated to physiological protein phosphorylation.","year":2004,"url":"http://doi.org/10.1002/pmic.200300772","authors":"Hornbeck PV,Chabra I,Kornhauser JM,Skrzypek E,Zhang B","journal":"Proteomics","doi":"10.1002/pmic.200300772","created_at":"2021-09-30T08:25:18.178Z","updated_at":"2021-09-30T08:25:18.178Z"},{"id":1633,"pubmed_id":25514926,"title":"PhosphoSitePlus, 2014: mutations, PTMs and recalibrations.","year":2014,"url":"http://doi.org/10.1093/nar/gku1267","authors":"Hornbeck PV,Zhang B,Murray B,Kornhauser JM,Latham V,Skrzypek E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1267","created_at":"2021-09-30T08:25:22.958Z","updated_at":"2021-09-30T11:29:17.354Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":301,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":295,"relation":"undefined"},{"licence_name":"PhosphoSitePlus Privacy Policy","licence_id":665,"licence_url":"http://www.phosphosite.org/staticPrivacyCookiePolicy.action","link_id":300,"relation":"undefined"}],"grants":[{"id":803,"fairsharing_record_id":1801,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:24:44.657Z","updated_at":"2021-09-30T09:24:44.657Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":802,"fairsharing_record_id":1801,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:24:44.615Z","updated_at":"2021-09-30T09:30:54.741Z","grant_id":932,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"R44AA014848","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":805,"fairsharing_record_id":1801,"organisation_id":402,"relation":"funds","created_at":"2021-09-30T09:24:44.748Z","updated_at":"2021-09-30T09:24:44.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":402,"name":"Cell Signaling Technology (CST), Danvers, MA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":806,"fairsharing_record_id":1801,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:24:44.791Z","updated_at":"2021-09-30T09:24:44.791Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":807,"fairsharing_record_id":1801,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:24:44.826Z","updated_at":"2021-09-30T09:29:06.734Z","grant_id":98,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"R44CA126080","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":804,"fairsharing_record_id":1801,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:44.708Z","updated_at":"2021-09-30T09:31:45.318Z","grant_id":1312,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R43GM065768-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1802","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:36:29.663Z","metadata":{"doi":"10.25504/FAIRsharing.ac329k","name":"The Autism Chromosome Rearrangement Database","status":"ready","contacts":[{"contact_name":"Christian Marshal","contact_email":"crm@sickkids.ca"}],"homepage":"http://projects.tcag.ca/autism","identifier":1802,"description":"The Autism Chromosome Rearrangement Database is a collection of hand curated breakpoints and other genomic features, related to autism, taken from publicly available literature, databases and unpublished data.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://projects.tcag.ca/autism/XuJie-MS.pdf","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012092","name":"re3data:r3d100012092","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006474","name":"SciCrunch:RRID:SCR_006474","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000262","bsg-d000262"],"name":"FAIRsharing record for: The Autism Chromosome Rearrangement Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ac329k","doi":"10.25504/FAIRsharing.ac329k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Autism Chromosome Rearrangement Database is a collection of hand curated breakpoints and other genomic features, related to autism, taken from publicly available literature, databases and unpublished data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["Expression data","Autistic disorder","Genetic polymorphism","DNA microarray","Disease phenotype","Genome","Chromosomal aberration","Karyotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1102,"pubmed_id":18252227,"title":"Structural variation of chromosomes in autism spectrum disorder.","year":2008,"url":"http://doi.org/10.1016/j.ajhg.2007.12.009","authors":"Marshall CR. et al.","journal":"Am. J. Hum. Genet.","doi":"10.1016/j.ajhg.2007.12.009","created_at":"2021-09-30T08:24:21.998Z","updated_at":"2021-09-30T08:24:21.998Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1216,"relation":"undefined"}],"grants":[{"id":808,"fairsharing_record_id":1802,"organisation_id":1805,"relation":"funds","created_at":"2021-09-30T09:24:44.865Z","updated_at":"2021-09-30T09:24:44.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":1805,"name":"McLaughlin Centre, University of Toronto, Canada","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":809,"fairsharing_record_id":1802,"organisation_id":455,"relation":"maintains","created_at":"2021-09-30T09:24:44.907Z","updated_at":"2021-09-30T09:24:44.907Z","grant_id":null,"is_lead":false,"saved_state":{"id":455,"name":"Centre for Applied Genomics, Toronto, ON, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":810,"fairsharing_record_id":1802,"organisation_id":455,"relation":"funds","created_at":"2021-09-30T09:24:44.949Z","updated_at":"2021-09-30T09:24:44.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":455,"name":"Centre for Applied Genomics, Toronto, ON, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1804","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:08.470Z","metadata":{"doi":"10.25504/FAIRsharing.a5zy4g","name":"Database of Arabidopsis Transcription Factors","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"datf@mail.cbi.pku.edu.cn"}],"homepage":"http://datf.cbi.pku.edu.cn","identifier":1804,"description":"The Database of Arabidopsis Transcription Factors (DATF) collects all Arabidopsis transcription factors (totally 1922 Loci; 2290 Gene Models) and classifies them into 64 families.The Version 2 of DATF was updated at July 2006. It is based on the Arabidopsis Sequence of TAIR, predicted Nuclear Location Signals, UniGene information, as well as links to literature reference.","abbreviation":"DATF","data_curation":{"type":"not found"},"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000264","bsg-d000264"],"name":"FAIRsharing record for: Database of Arabidopsis Transcription Factors","abbreviation":"DATF","url":"https://fairsharing.org/10.25504/FAIRsharing.a5zy4g","doi":"10.25504/FAIRsharing.a5zy4g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Arabidopsis Transcription Factors (DATF) collects all Arabidopsis transcription factors (totally 1922 Loci; 2290 Gene Models) and classifies them into 64 families.The Version 2 of DATF was updated at July 2006. It is based on the Arabidopsis Sequence of TAIR, predicted Nuclear Location Signals, UniGene information, as well as links to literature reference.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene model annotation","Biological regulation"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1117,"pubmed_id":15731212,"title":"DATF: a database of Arabidopsis transcription factors.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti334","authors":"Guo A., He K., Liu D., Bai S., Gu X., Wei L., Luo J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti334","created_at":"2021-09-30T08:24:23.766Z","updated_at":"2021-09-30T08:24:23.766Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":251,"relation":"undefined"}],"grants":[{"id":813,"fairsharing_record_id":1804,"organisation_id":1894,"relation":"funds","created_at":"2021-09-30T09:24:45.060Z","updated_at":"2021-09-30T09:24:45.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":1894,"name":"Monsanto","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":812,"fairsharing_record_id":1804,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:45.028Z","updated_at":"2021-09-30T09:24:45.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":814,"fairsharing_record_id":1804,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.084Z","updated_at":"2021-09-30T09:24:45.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1805","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-27T11:27:54.010Z","metadata":{"doi":"10.25504/FAIRsharing.d8j0eb","name":"Database of Rice Transcription Factors","status":"deprecated","contacts":[{"contact_email":"drtf@mail.cbi.pku.edu.cn"}],"homepage":"http://drtf.cbi.pku.edu.cn/","citations":[],"identifier":1805,"description":"DRTF contains 2025 putative transcription factors (TFs) in Oryza sativa L. ssp. indica and 2384 in ssp. japonica, distributed in 63 families, identified by computational prediction and manual curation. It includes detailed annotations of each TF including sequence features, functional domains, Gene Ontology assignment, chromosomal localization, EST and microarray expression information, as well as multiple sequence alignment of the DNA-binding domains for each TF family.","abbreviation":"DRTF","data_curation":{"type":"not found"},"year_creation":2005,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000265","bsg-d000265"],"name":"FAIRsharing record for: Database of Rice Transcription Factors","abbreviation":"DRTF","url":"https://fairsharing.org/10.25504/FAIRsharing.d8j0eb","doi":"10.25504/FAIRsharing.d8j0eb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DRTF contains 2025 putative transcription factors (TFs) in Oryza sativa L. ssp. indica and 2384 in ssp. japonica, distributed in 63 families, identified by computational prediction and manual curation. It includes detailed annotations of each TF including sequence features, functional domains, Gene Ontology assignment, chromosomal localization, EST and microarray expression information, as well as multiple sequence alignment of the DNA-binding domains for each TF family.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","Deoxyribonucleic acid","Biological regulation","Transcription factor","Curated information","Messenger RNA","Transcript","Life cycle"],"taxonomies":["Oryza sativa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1222,"pubmed_id":16551659,"title":"DRTF: a database of rice transcription factors.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl107","authors":"Gao G., Zhong Y., Guo A., Zhu Q., Tang W., Zheng W., Gu X., Wei L., Luo J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl107","created_at":"2021-09-30T08:24:36.183Z","updated_at":"2021-09-30T08:24:36.183Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":252,"relation":"undefined"}],"grants":[{"id":815,"fairsharing_record_id":1805,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.110Z","updated_at":"2021-09-30T09:24:45.110Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":816,"fairsharing_record_id":1805,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:45.139Z","updated_at":"2021-09-30T09:29:59.451Z","grant_id":502,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90408015","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8229,"fairsharing_record_id":1805,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:38.940Z","updated_at":"2021-09-30T09:31:38.983Z","grant_id":1266,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"2003CB715900 (973)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1806","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-27T11:27:37.354Z","metadata":{"doi":"10.25504/FAIRsharing.sjk03h","name":"Ontology-based Knowledgebase for Cell Adhesion Molecules","status":"deprecated","contacts":[{"contact_email":"guhl@intra.nida.nih.gov"}],"homepage":"http://www.rhesusbase.org/drugDisc/CAM.jsp","citations":[],"identifier":1806,"description":"OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families.","abbreviation":"OKCAM","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2018-05-08","deprecation_reason":"Homepage (http://okcam.cbi.pku.edu.cn) states that the data within this database is now in RhesusBase (https://fairsharing.org/FAIRsharing.qkrmth) as this database is retired.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000266","bsg-d000266"],"name":"FAIRsharing record for: Ontology-based Knowledgebase for Cell Adhesion Molecules","abbreviation":"OKCAM","url":"https://fairsharing.org/10.25504/FAIRsharing.sjk03h","doi":"10.25504/FAIRsharing.sjk03h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Cell adhesion","Small molecule","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China","United States"],"publications":[{"id":278,"pubmed_id":18790807,"title":"OKCAM: an ontology-based, human-centered knowledgebase for cell adhesion molecules.","year":2008,"url":"http://doi.org/10.1093/nar/gkn568","authors":"Li CY., Liu QR., Zhang PW., Li XM., Wei L., Uhl GR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn568","created_at":"2021-09-30T08:22:49.990Z","updated_at":"2021-09-30T08:22:49.990Z"}],"licence_links":[],"grants":[{"id":817,"fairsharing_record_id":1806,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.182Z","updated_at":"2021-09-30T09:24:45.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1807","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-27T11:26:25.898Z","metadata":{"doi":"10.25504/FAIRsharing.ex3fqk","name":"Plant Transcription Factor Database","status":"ready","contacts":[{"contact_name":"Ge Gao","contact_email":"gaog@mail.cbi.pku.edu.cn"}],"homepage":"http://planttfdb.gao-lab.org/","citations":[{"doi":"10.1093/nar/gkw982","pubmed_id":null,"publication_id":1732}],"identifier":1807,"description":"Plant Transcription Factor Database (PlantTFDB) provides a resource of plant transcription factors (TFs), regulatory elements and interactions between them. In the latest version, It contains 320 370 TFs, classified into 58 families, from 165 species. Abundant functional and evolutionary annotations (e.g., GO, functional description, binding motifs, cis-element, regulation, references, orthologous groups and phylogenetic tree, etc.) are provided for identified TFs. In addition, multiple online tools are set up for TF identification, regulation prediction and functional enrichment analyses.","abbreviation":"PlantTFDB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"planttfdb@mail.cbi.pku.edu.cn","type":"Support email"},{"url":"http://planttfdb.cbi.pku.edu.cn/help.php","type":"Help documentation"},{"url":"http://plantregmap.cbi.pku.edu.cn/help.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011301","name":"re3data:r3d100011301","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003362","name":"SciCrunch:RRID:SCR_003362","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000267","bsg-d000267"],"name":"FAIRsharing record for: Plant Transcription Factor Database","abbreviation":"PlantTFDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ex3fqk","doi":"10.25504/FAIRsharing.ex3fqk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Plant Transcription Factor Database (PlantTFDB) provides a resource of plant transcription factors (TFs), regulatory elements and interactions between them. In the latest version, It contains 320 370 TFs, classified into 58 families, from 165 species. Abundant functional and evolutionary annotations (e.g., GO, functional description, binding motifs, cis-element, regulation, references, orthologous groups and phylogenetic tree, etc.) are provided for identified TFs. In addition, multiple online tools are set up for TF identification, regulation prediction and functional enrichment analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene Ontology enrichment","Annotation","Transcription factor binding site prediction","Binding site prediction","Biological regulation","Binding motif","Transcription factor","Gene regulatory element","Sequence motif"],"taxonomies":["Viridiplantae"],"user_defined_tags":["Transcription factor (TF) enrichment"],"countries":["China"],"publications":[{"id":1216,"pubmed_id":25750178,"title":"An Arabidopsis Transcriptional Regulatory Map Reveals Distinct Functional and Evolutionary Features of Novel Transcription Factors","year":2015,"url":"http://doi.org/10.1093/molbev/msv058","authors":"Jinpu Jin, Kun He, Xing Tang, Zhe Li, Le Lv, Yi Zhao, Jingchu Luo and Ge Gao","journal":"Molecular Biology and Evolution","doi":"10.1093/molbev/msv058","created_at":"2021-09-30T08:24:35.558Z","updated_at":"2021-09-30T08:24:35.558Z"},{"id":1242,"pubmed_id":24174544,"title":"PlantTFDB 3.0: a portal for the functional and evolutionary study of plant transcription factors","year":2013,"url":"http://doi.org/10.1093/nar/gkt1016","authors":"Jinpu Jin, He Zhang, Lei Kong, Ge Gao and Jingchu Luo","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1016","created_at":"2021-09-30T08:24:38.550Z","updated_at":"2021-09-30T08:24:38.550Z"},{"id":1732,"pubmed_id":null,"title":"PlantTFDB 4.0: toward a central hub for transcription factors and regulatory interactions in plants","year":2016,"url":"http://doi.org/10.1093/nar/gkw982","authors":"Jinpu Jin, Feng Tian, De-Chang Yang, Yu-Qi Meng, Lei Kong, Jingchu Luo and Ge Gao","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw982","created_at":"2021-09-30T08:25:34.147Z","updated_at":"2021-09-30T08:25:34.147Z"}],"licence_links":[],"grants":[{"id":820,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:45.277Z","updated_at":"2021-09-30T09:31:07.763Z","grant_id":1030,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2011CBA01102","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":819,"fairsharing_record_id":1807,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:45.253Z","updated_at":"2021-09-30T09:29:09.720Z","grant_id":119,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"31071160","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7911,"fairsharing_record_id":1807,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:29:40.342Z","updated_at":"2021-09-30T09:29:40.391Z","grant_id":353,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"31171242","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8382,"fairsharing_record_id":1807,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:23.059Z","updated_at":"2021-09-30T09:32:23.114Z","grant_id":1595,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"1470330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8418,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:33.219Z","updated_at":"2021-09-30T09:32:33.268Z","grant_id":1671,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2009FY120100","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8457,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:43.594Z","updated_at":"2021-09-30T09:32:43.648Z","grant_id":1750,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2006AA02Z334","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":818,"fairsharing_record_id":1807,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.220Z","updated_at":"2024-01-27T11:25:50.104Z","grant_id":null,"is_lead":true,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8134,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:08.239Z","updated_at":"2021-09-30T09:31:08.296Z","grant_id":1034,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2012AA020409","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1808","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:08.641Z","metadata":{"doi":"10.25504/FAIRsharing.32zwmn","name":"reactive oxygen species-mediated signaling pathway database","status":"deprecated","contacts":[{"contact_name":"Kong-Joo Lee","contact_email":"kjl@ewha.ac.kr"}],"homepage":"http://rospath.ewha.ac.kr/","identifier":1808,"description":"ROSPath was developed for the purpose of aiding the research of ROS-mediated signaling pathways including growth factor-, stress- and cytokine-induced signaling that are main research interests of the Division of Molecular Life Sciences and Center for Cell Signaling Research in Ewha Womans University. This record is labelled as uncertain as the homepage for this resource appears to be offline.","abbreviation":"ROSPath","data_curation":{"type":"not found"},"year_creation":2004,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000268","bsg-d000268"],"name":"FAIRsharing record for: reactive oxygen species-mediated signaling pathway database","abbreviation":"ROSPath","url":"https://fairsharing.org/10.25504/FAIRsharing.32zwmn","doi":"10.25504/FAIRsharing.32zwmn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ROSPath was developed for the purpose of aiding the research of ROS-mediated signaling pathways including growth factor-, stress- and cytokine-induced signaling that are main research interests of the Division of Molecular Life Sciences and Center for Cell Signaling Research in Ewha Womans University. This record is labelled as uncertain as the homepage for this resource appears to be offline.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":327,"pubmed_id":15289508,"title":"Multi-layered representation for cell signaling pathways.","year":2004,"url":"http://doi.org/10.1074/mcp.M400039-MCP200","authors":"Paek E., Park J., Lee KJ.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M400039-MCP200","created_at":"2021-09-30T08:22:55.101Z","updated_at":"2021-09-30T08:22:55.101Z"}],"licence_links":[],"grants":[{"id":821,"fairsharing_record_id":1808,"organisation_id":974,"relation":"maintains","created_at":"2021-09-30T09:24:45.306Z","updated_at":"2021-09-30T09:24:45.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":974,"name":"Ewha Womans University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1810","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T07:58:11.962Z","metadata":{"doi":"10.25504/FAIRsharing.x16th8","name":"RTPrimerDB","status":"deprecated","contacts":[{"contact_email":"rtprimerdb@medgen.ugent.be"}],"homepage":"http://medgen.ugent.be/rtprimerdb/","citations":[],"identifier":1810,"description":"RTPrimerDB is a public database for primer and probe sequences used in real-time PCR assays employing popular chemistries (SYBR Green I, Taqman, Hybridisation Probes, Molecular Beacon) to prevent time-consuming primer design and experimental optimisation, and to introduce a certain level of uniformity and standardisation among different laboratories.","abbreviation":"RTPrimerDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://medgen.ugent.be/rtprimerdb/index.php?faq","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and the developers have confirmed that this record should be deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000270","bsg-d000270"],"name":"FAIRsharing record for: RTPrimerDB","abbreviation":"RTPrimerDB","url":"https://fairsharing.org/10.25504/FAIRsharing.x16th8","doi":"10.25504/FAIRsharing.x16th8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RTPrimerDB is a public database for primer and probe sequences used in real-time PCR assays employing popular chemistries (SYBR Green I, Taqman, Hybridisation Probes, Molecular Beacon) to prevent time-consuming primer design and experimental optimisation, and to introduce a certain level of uniformity and standardisation among different laboratories.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12630}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","Polymerase Chain Reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":322,"pubmed_id":17068075,"title":"qPrimerDepot: a primer database for quantitative real time PCR.","year":2006,"url":"http://doi.org/10.1093/nar/gkl767","authors":"Cui W., Taub DD., Gardner K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl767","created_at":"2021-09-30T08:22:54.574Z","updated_at":"2021-09-30T08:22:54.574Z"}],"licence_links":[],"grants":[{"id":824,"fairsharing_record_id":1810,"organisation_id":428,"relation":"maintains","created_at":"2021-09-30T09:24:45.401Z","updated_at":"2021-09-30T09:24:45.401Z","grant_id":null,"is_lead":false,"saved_state":{"id":428,"name":"Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1796","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:46.467Z","metadata":{"doi":"10.25504/FAIRsharing.vs7865","name":"The Cambridge Structural Database","status":"ready","contacts":[{"contact_name":"Support Email","contact_email":"support@ccdc.cam.ac.uk","contact_orcid":"0000-0002-6062-7492"}],"homepage":"http://www.ccdc.cam.ac.uk/solutions/csd-system/components/csd/","citations":[{"doi":"10.1107/S2052520616003954","pubmed_id":27048719,"publication_id":771}],"identifier":1796,"description":"Established in 1965, the Cambridge Structural Database (CSD) is the a repository for small-molecule organic and metal-organic crystal 3D structures. Database records are automatically checked and manually curated by one of our expert in-house scientific editors. Every structure is enriched with chemical representations, as well as bibliographic, chemical and physical property information, adding further value to the raw structural data.","abbreviation":"CSD","data_curation":{"url":"https://www.ccdc.cam.ac.uk/support-and-resources/support/case/?caseid=c8bedd1f-6529-e911-b7b3-005056975d8a","type":"manual/automated","notes":"The curation software checks information in certain CIF fields, and all entries are manually curated."},"support_links":[{"url":"https://www.ccdc.cam.ac.uk/Community/blog/tags/CSD","name":"CCDC Blog","type":"Blog/News"},{"url":"https://www.ccdc.cam.ac.uk/support-and-resources/ccdcresources/CSDC-Access-Structures.pdf","name":"Search Help","type":"Help documentation"},{"url":"https://www.ccdc.cam.ac.uk/support-and-resources/ccdcresources/?ResourceType=\u0026Category=\u0026Product=0b7591ad-2201-e411-99f5-00505686f06e","name":"CSD Documentation","type":"Help documentation"},{"url":"https://www.ccdc.cam.ac.uk/CCDCStats/","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/ccdc_cambridge","name":"@ccdc_cambridge","type":"Twitter"}],"year_creation":1965,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010197","name":"re3data:r3d100010197","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007310","name":"SciCrunch:RRID:SCR_007310","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ccdc.cam.ac.uk/structures/access-structures-information","type":"partially open","notes":"A licence may be required to access a certain amount of curated data."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ccdc.cam.ac.uk/deposit/upload","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000256","bsg-d000256"],"name":"FAIRsharing record for: The Cambridge Structural Database","abbreviation":"CSD","url":"https://fairsharing.org/10.25504/FAIRsharing.vs7865","doi":"10.25504/FAIRsharing.vs7865","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Established in 1965, the Cambridge Structural Database (CSD) is the a repository for small-molecule organic and metal-organic crystal 3D structures. Database records are automatically checked and manually curated by one of our expert in-house scientific editors. Every structure is enriched with chemical representations, as well as bibliographic, chemical and physical property information, adding further value to the raw structural data.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10936},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11769},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12627},{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18427}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Organic Chemistry","Biochemistry","Organic Molecular Chemistry","Chemistry"],"domains":["Molecular structure","Protein structure","Atomic coordinate","X-ray diffraction","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":660,"pubmed_id":12037359,"title":"The Cambridge Structural Database: a quarter of a million crystal structures and rising","year":2002,"url":"http://doi.org/10.1107/s0108768102003890","authors":"F. H. Allen","journal":"Acta Crystallographica Section B","doi":"10.1107/S0108768102003890","created_at":"2021-09-30T08:23:32.852Z","updated_at":"2021-09-30T08:23:32.852Z"},{"id":771,"pubmed_id":27048719,"title":"The Cambridge Structural Database.","year":2016,"url":"http://doi.org/10.1107/S2052520616003954","authors":"Groom CR,Bruno IJ,Lightfoot MP,Ward SC","journal":"Acta Crystallogr B Struct Sci Cryst Eng Mater","doi":"10.1107/S2052520616003954","created_at":"2021-09-30T08:23:44.970Z","updated_at":"2021-09-30T08:23:44.970Z"}],"licence_links":[{"licence_name":"CSD Terms and Conditions","licence_id":206,"licence_url":"https://www.ccdc.cam.ac.uk/access-structures-terms/","link_id":2330,"relation":"undefined"}],"grants":[{"id":790,"fairsharing_record_id":1796,"organisation_id":348,"relation":"maintains","created_at":"2021-09-30T09:24:44.176Z","updated_at":"2021-09-30T09:24:44.176Z","grant_id":null,"is_lead":true,"saved_state":{"id":348,"name":"Cambridge Crystallographic Data Centre (CCDC), Cambridge, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1797","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.243Z","metadata":{"doi":"10.25504/FAIRsharing.29qx34","name":"BloodExpress","status":"deprecated","contacts":[{"contact_name":"Diego Miranda-Saavedra","contact_email":"dm435@cam.ac.uk"}],"homepage":"http://hscl.cimr.cam.ac.uk/bloodexpress/","identifier":1797,"description":"BloodExpress is a database of gene expression in mouse haematopoiesis has 271 individual microarray experiments derived from 15 distinct studies done on most characterised mouse blood cell types. Gene expression information has been discretised to absent/present/unknown calls.","abbreviation":"BloodExpress","data_curation":{"type":"not found"},"year_creation":2007,"data_versioning":"not found","deprecation_date":"2020-11-19","deprecation_reason":"This resource is no longer maintained, and its homepage is now broken.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000257","bsg-d000257"],"name":"FAIRsharing record for: BloodExpress","abbreviation":"BloodExpress","url":"https://fairsharing.org/10.25504/FAIRsharing.29qx34","doi":"10.25504/FAIRsharing.29qx34","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BloodExpress is a database of gene expression in mouse haematopoiesis has 271 individual microarray experiments derived from 15 distinct studies done on most characterised mouse blood cell types. Gene expression information has been discretised to absent/present/unknown calls.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","Cell","Stem cell","Gene expression","Hematopoiesis","DNA microarray","Blood"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1015,"pubmed_id":18987008,"title":"BloodExpress: a database of gene expression in mouse haematopoiesis.","year":2008,"url":"http://doi.org/10.1093/nar/gkn854","authors":"Miranda-Saavedra D,De S,Trotter MW,Teichmann SA,Gottgens B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn854","created_at":"2021-09-30T08:24:12.378Z","updated_at":"2021-09-30T11:28:56.809Z"}],"licence_links":[],"grants":[{"id":793,"fairsharing_record_id":1797,"organisation_id":349,"relation":"maintains","created_at":"2021-09-30T09:24:44.260Z","updated_at":"2021-09-30T09:24:44.260Z","grant_id":null,"is_lead":false,"saved_state":{"id":349,"name":"Cambridge Institute for Medical Research, University of Cambridge","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":791,"fairsharing_record_id":1797,"organisation_id":1709,"relation":"funds","created_at":"2021-09-30T09:24:44.200Z","updated_at":"2021-09-30T09:24:44.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":1709,"name":"Leukemia and Lymphoma Society, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":792,"fairsharing_record_id":1797,"organisation_id":287,"relation":"funds","created_at":"2021-09-30T09:24:44.233Z","updated_at":"2021-09-30T09:24:44.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":287,"name":"Bloodwise, London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":794,"fairsharing_record_id":1797,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:44.298Z","updated_at":"2021-09-30T09:24:44.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1798","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:50:33.354Z","metadata":{"doi":"10.25504/FAIRsharing.krvr4","name":"Erythropoiesis Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"epodb@cbil.humgen.upenn.edu"}],"homepage":"http://www.cbil.upenn.edu/EpoDB/","identifier":1798,"description":"EpoDB (Erythropoiesis database) is a database of genes that relate to vertebrate red blood cells. It includes DNA sequence, structural features, protein information, gene expression information and transcription factor binding sites.","abbreviation":"EpoDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cbil.upenn.edu/EpoDB/release/version_2.2/epodb.html","type":"Help documentation"}],"year_creation":1996,"data_versioning":"not found","associated_tools":[{"url":"http://www.cbil.upenn.edu/EpoDB/release/version_2.2/blast.html","name":"BLAST"}],"data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000258","bsg-d000258"],"name":"FAIRsharing record for: Erythropoiesis Database","abbreviation":"EpoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.krvr4","doi":"10.25504/FAIRsharing.krvr4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EpoDB (Erythropoiesis database) is a database of genes that relate to vertebrate red blood cells. It includes DNA sequence, structural features, protein information, gene expression information and transcription factor binding sites.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12628}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Biological regulation","Gene feature","Transcription factor","Protein","Gene"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1062,"pubmed_id":9847180,"title":"EpoDB: a prototype database for the analysis of genes expressed during vertebrate erythropoiesis.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.200","authors":"Stoeckert CJ., Salas F., Brunk B., Overton GC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/27.1.200","created_at":"2021-09-30T08:24:17.606Z","updated_at":"2021-09-30T08:24:17.606Z"}],"licence_links":[],"grants":[{"id":795,"fairsharing_record_id":1798,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:24:44.340Z","updated_at":"2021-09-30T09:24:44.340Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":796,"fairsharing_record_id":1798,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:44.378Z","updated_at":"2021-09-30T09:31:18.443Z","grant_id":1111,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-RR04026-08","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1799","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:48.459Z","metadata":{"doi":"10.25504/FAIRsharing.3hrbfr","name":"Automatic molecular interaction predictions","status":"ready","contacts":[{"contact_name":"Jean-Christophe Aude","contact_email":"jean-christophe.aude@cea.fr","contact_orcid":"0000-0002-1755-7417"}],"homepage":"http://biodev.extra.cea.fr/interoporc/","identifier":1799,"description":"InteroPorc is an automatic prediction tool to infer protein-protein interaction networks. It is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8.","abbreviation":"InteroPorc","data_curation":{"type":"not found"},"support_links":[{"url":"michaut.bioinfo@gmail.com","type":"Support email"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000259","bsg-d000259"],"name":"FAIRsharing record for: Automatic molecular interaction predictions","abbreviation":"InteroPorc","url":"https://fairsharing.org/10.25504/FAIRsharing.3hrbfr","doi":"10.25504/FAIRsharing.3hrbfr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InteroPorc is an automatic prediction tool to infer protein-protein interaction networks. It is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Computational biological predictions","Protein interaction","Network model","Protein","Orthologous"],"taxonomies":["Arabidopsis thaliana","Drosophila melanogaster","Escherichia coli","Helicobacter pylori","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":301,"pubmed_id":18508856,"title":"InteroPORC: automated inference of highly conserved protein interaction networks.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn249","authors":"Michaut M., Kerrien S., Montecchi-Palazzi L., Chauvat F., Cassier-Chauvat C., Aude JC., Legrain P., Hermjakob H.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn249","created_at":"2021-09-30T08:22:52.449Z","updated_at":"2021-09-30T08:22:52.449Z"}],"licence_links":[],"grants":[{"id":797,"fairsharing_record_id":1799,"organisation_id":1693,"relation":"maintains","created_at":"2021-09-30T09:24:44.415Z","updated_at":"2021-09-30T09:24:44.415Z","grant_id":null,"is_lead":false,"saved_state":{"id":1693,"name":"LBI Team (CEA)","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":800,"fairsharing_record_id":1799,"organisation_id":1057,"relation":"funds","created_at":"2021-09-30T09:24:44.540Z","updated_at":"2021-09-30T09:24:44.540Z","grant_id":null,"is_lead":false,"saved_state":{"id":1057,"name":"French Alternative Energies and Atomic Energy Commission (CEA), Gif sur Yvette, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":798,"fairsharing_record_id":1799,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:44.457Z","updated_at":"2021-09-30T09:29:01.784Z","grant_id":62,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"Biosys06_134823 SULFIRHOM","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9293,"fairsharing_record_id":1799,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.334Z","updated_at":"2022-04-11T12:07:28.352Z","grant_id":676,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902 RII3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1837","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:23:00.148Z","metadata":{"doi":"10.25504/FAIRsharing.zjdfxz","name":"Gramene: A curated, open-source, integrated data resource for comparative functional genomics in plants","status":"ready","contacts":[{"contact_name":"The Gramene Project","contact_email":"gramene@gramene.org"}],"homepage":"http://www.gramene.org","citations":[{"doi":"10.1093/nar/gkx1111","pubmed_id":29165610,"publication_id":444}],"identifier":1837,"description":"Gramene's purpose is to provide added value to plant genomics data sets available within the public sector, which will facilitate researchers' ability to understand the plant genomes and take advantage of genomic sequence known in one species for identifying and understanding corresponding genes, pathways and phenotypes in other plant species. It represents a broad spectrum of species ranging from unicellular photo-autotrophs, algae, monocots, dicots and other important taxonomic clades. Within Plant Reactome, a database portal of Gramene, there are over 60 plant genomes as well as pathways for more than 80 species.","abbreviation":"Gramene","data_curation":{"url":"https://archive.gramene.org/db/help?state=display_topic_in_context\u0026topic_name=Gramene_Documentation\u0026sticky=0","type":"manual"},"support_links":[{"url":"http://www.gramene.org/db/help","name":"Help","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCMtmq20XMccsNUaACuqQJ-w","name":"Gramene YouTube Channel","type":"Video"},{"url":"https://twitter.com/GrameneDatabase","name":"@GrameneDatabase","type":"Twitter"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://ensembl.gramene.org/common/Tools/Blast?db=core","name":"BLAST"},{"url":"http://ensembl.gramene.org/Oryza_sativa/Tools/VEP?db=core","name":"Variant Effect Predictor"},{"url":"http://ensembl.gramene.org/hmmer/index.html","name":"HMMER"},{"url":"http://ensembl.gramene.org/biomart/martview/15e087eebdfcf6b8aea253bf840b6cca","name":"Biomart"},{"url":"http://ensembl.gramene.org/Oryza_sativa/Tools/AssemblyConverter?db=core","name":"Assembly converter"},{"url":"http://ensembl.gramene.org/Oryza_sativa/Tools/IDMapper?db=core","name":"ID History Converter"},{"url":"https://plantreactome.gramene.org","name":"Plant Reactome: A knowledgebase and resource for comparative plant pathway analysis"},{"url":"https://plantreactome.gramene.org/PathwayBrowser/#TOOL=AT","name":"Plant Reactome: Pathway analysis | OMICs data analysis | pathway comparison between species |pathway enrichment"},{"url":"https://plantreactome.gramene.org/PathwayBrowser/","name":"Plant Reactome: Pathway browser"},{"url":"https://plantreactome.gramene.org/ContentService/","name":"Plant Reactome: Content and RESTFul Service"},{"url":"http://www.gramene.org/ftp-download","name":"Gramene: Bulk download"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010856","name":"re3data:r3d100010856","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002829","name":"SciCrunch:RRID:SCR_002829","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.gramene.org/cite","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://archive.gramene.org/submission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000297","bsg-d000297"],"name":"FAIRsharing record for: Gramene: A curated, open-source, integrated data resource for comparative functional genomics in plants","abbreviation":"Gramene","url":"https://fairsharing.org/10.25504/FAIRsharing.zjdfxz","doi":"10.25504/FAIRsharing.zjdfxz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gramene's purpose is to provide added value to plant genomics data sets available within the public sector, which will facilitate researchers' ability to understand the plant genomes and take advantage of genomic sequence known in one species for identifying and understanding corresponding genes, pathways and phenotypes in other plant species. It represents a broad spectrum of species ranging from unicellular photo-autotrophs, algae, monocots, dicots and other important taxonomic clades. Within Plant Reactome, a database portal of Gramene, there are over 60 plant genomes as well as pathways for more than 80 species.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11057},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11617},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11870}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Epigenomics","Genomics","Structural Genomics","Phylogenomics","Comparative Genomics","Plant Genetics"],"domains":["Gene report","Genetic map","Nucleic acid sequence alignment","Gene name","Expression data","Nucleic acid sequence","DNA sequence data","RNA sequence","Gene Ontology enrichment","Sequence annotation","Multiple sequence alignment","Genomic assembly","Computational biological predictions","Gene prediction","Differential gene expression analysis","Gene functional annotation","Gene model annotation","Gene expression","Protein sequence identification","Genetic interaction","Gene feature","Sequence alignment","Genetic marker","Pathway model","Sequence","Sequence feature","Coding sequence","Gene","Mitochondrial sequence","Plastid sequence","Chloroplast sequence","Amino acid sequence","Genome","Sequence variant"],"taxonomies":["Algae","Amborella","Arabidopsis thaliana","Brachypodium dystachyon","Bryophyta","Coffea","Cyanobacteria","Dicotyledones","Embryophyta","Hordeum","Lycopodiopsida","Medicago truncatula","Monocotyledons","Oryza","Populus trichocarpa","Solanum lycopersicum","Solanum tuberosum","Triticum","Viridiplantae","Zea mays"],"user_defined_tags":["Genome-scale network","Metabolic pathway prediction profile","Pathway Diagram"],"countries":["United Kingdom","United States"],"publications":[{"id":176,"pubmed_id":30649295,"title":"Involving community in genes and pathway curation.","year":2019,"url":"http://doi.org/10.1093/database/bay146","authors":"Naithani S,Gupta P,Preece J,Garg P,Fraser V,Padgitt-Cobb LK,Martin M,Vining K,Jaiswal P","journal":"Database (Oxford)","doi":"10.1093/database/bay146","created_at":"2021-09-30T08:22:39.297Z","updated_at":"2021-09-30T08:22:39.297Z"},{"id":293,"pubmed_id":27799469,"title":"Plant Reactome: a resource for plant pathways and comparative analysis.","year":2016,"url":"http://doi.org/10.1093/nar/gkw932","authors":"Naithani S, Preece J, D'Eustachio P, Gupta P, Amarasinghe V, Dharmawardhana PD, Wu G, Fabregat A, Elser JL, Weiser J, Keays M, Fuentes AM, Petryszak R, Stein LD, Ware D, Jaiswal P.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw932","created_at":"2021-09-30T08:22:51.532Z","updated_at":"2021-09-30T08:22:51.532Z"},{"id":295,"pubmed_id":27987178,"title":"Variant Effect Prediction Analysis Using Resources Available at Gramene Database.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6658-5_17","authors":"Naithani S, Geniza M, Jaiswal P","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6658-5_17","created_at":"2021-09-30T08:22:51.749Z","updated_at":"2021-09-30T08:22:51.749Z"},{"id":363,"pubmed_id":31680153,"title":"Plant Reactome: a knowledgebase and resource for comparative pathway analysis.","year":2019,"url":"http://doi.org/10.1093/nar/gkz996","authors":"Naithani S,Gupta P,Preece J,D'Eustachio P,Elser JL,Garg P,Dikeman DA,Kiff J,Cook J,Olson A,Wei S,Tello-Ruiz MK,Mundo AF,Munoz-Pomer A,Mohammed S,Cheng T,Bolton E,Papatheodorou I,Stein L,Ware D,Jaiswal P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz996","created_at":"2021-09-30T08:22:58.989Z","updated_at":"2021-09-30T11:28:45.891Z"},{"id":382,"pubmed_id":29165655,"title":"Expression Atlas: gene and protein expression across multiple studies and organisms.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1158","authors":"Papatheodorou I,Fonseca NA,Keays M,Tang YA,Barrera E,Bazant W,Burke M,Fullgrabe A,Fuentes AM,George N,Huerta L,Koskinen S,Mohammed S,Geniza M,Preece J,Jaiswal P,Jarnuczak AF,Huber W,Stegle O,Vizcaino JA,Brazma A,Petryszak R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1158","created_at":"2021-09-30T08:23:01.406Z","updated_at":"2021-09-30T11:28:46.133Z"},{"id":444,"pubmed_id":29165610,"title":"Gramene 2018: unifying comparative genomics and pathway resources for plant research.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1111","authors":"Tello-Ruiz MK,Naithani S,Stein JC,Gupta P,Campbell M,Wei S,Preece J,Geniza MJ,Jiao Y,Lee YK,Wang B,Mulvaney J,Chougule K,Elser J,Al-Bader N,Kumari S,Bolser DM,Naamati G,Huerta L,Keays M,D'Eustachio P,Stein LD,Papatheodorou I,Taylor C,Jaiswal P,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1111","created_at":"2021-09-30T08:23:08.181Z","updated_at":"2021-09-30T11:28:46.609Z"},{"id":447,"pubmed_id":30239679,"title":"AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.","year":2018,"url":"http://doi.org/10.1093/database/bay088","authors":"AgBioData consortium","journal":"Database (Oxford)","doi":"10.1093/database/bay088","created_at":"2021-09-30T08:23:08.533Z","updated_at":"2021-09-30T08:23:08.533Z"},{"id":478,"pubmed_id":27987175,"title":"Pathway Analysis and Omics Data Visualization Using Pathway Genome Databases: FragariaCyc, a Case Study.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6658-5_14","authors":"Naithani S,Jaiswal P","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6658-5_14","created_at":"2021-09-30T08:23:11.943Z","updated_at":"2021-09-30T08:23:11.943Z"},{"id":1050,"pubmed_id":26553803,"title":"Gramene 2016: comparative plant genomics and pathway resources.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1179","authors":"Tello-Ruiz MK,Stein J,Wei S et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1179","created_at":"2021-09-30T08:24:16.262Z","updated_at":"2021-09-30T11:28:57.475Z"},{"id":1081,"pubmed_id":31598706,"title":"Ensembl Genomes 2020-enabling non-vertebrate genomic research.","year":2019,"url":"http://doi.org/10.1093/nar/gkz890","authors":"Howe KL et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz890","created_at":"2021-09-30T08:24:19.787Z","updated_at":"2021-09-30T11:28:56.442Z"},{"id":2581,"pubmed_id":21076153,"title":"Gramene database in 2010: updates and extensions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1148","authors":"Youens-Clark K., Buckler E., Casstevens T., Chen C., Declerck G., Derwent P., Dharmawardhana P., Jaiswal P., Kersey P., Karthikeyan AS., Lu J., McCouch SR., Ren L., Spooner W., Stein JC., Thomason J., Wei S., Ware D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1148","created_at":"2021-09-30T08:27:16.494Z","updated_at":"2021-09-30T08:27:16.494Z"},{"id":2612,"pubmed_id":17984077,"title":"Gramene: a growing plant comparative genomics resource.","year":2007,"url":"http://doi.org/10.1093/nar/gkm968","authors":"Liang C., Jaiswal P., Hebbard C., Avraham S., Buckler ES., Casstevens T., Hurwitz B., McCouch S., Ni J., Pujar A., Ravenscroft D., Ren L., Spooner W., Tecle I., Thomason J., Tung CW., Wei X., Yap I., Youens-Clark K., Ware D., Stein L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm968","created_at":"2021-09-30T08:27:20.638Z","updated_at":"2021-09-30T08:27:20.638Z"},{"id":2774,"pubmed_id":28713666,"title":"Gramene Database: Navigating Plant Comparative Genomics Resources.","year":2017,"url":"http://doi.org/10.1016/j.cpb.2016.12.005","authors":"Gupta P,Naithani S,Tello-Ruiz MK,Chougule K,D'Eustachio P,Fabregat A,Jiao Y,Keays M,Lee YK,Kumari S,Mulvaney J,Olson A,Preece J,Stein J,Wei S,Weiser J,Huerta L,Petryszak R,Kersey P,Stein LD,Ware D,Jaiswal P","journal":"Curr Plant Biol","doi":"10.1016/j.cpb.2016.12.005","created_at":"2021-09-30T08:27:40.996Z","updated_at":"2021-09-30T08:27:40.996Z"},{"id":2775,"pubmed_id":33170273,"title":"Gramene 2021: harnessing the power of comparative genomics and pathways for plant research.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa979","authors":"Tello-Ruiz MK,Naithani S,Gupta P,Olson A,Wei S,Preece J,Jiao Y,Wang B,Chougule K,Garg P,Elser J,Kumari S,Kumar V, George N,Cook J,Bolser D,D'Eustachio P,Stein LD,Gupta A,Xu W, Papatheodorou I,Kersey PJ,Flicek P,Taylor C,Jaiswal P,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa979","created_at":"2021-09-30T08:27:41.161Z","updated_at":"2021-09-30T11:29:43.862Z"}],"licence_links":[{"licence_name":"Gramene Copyright Statement","licence_id":364,"licence_url":"http://www.gramene.org/node/225","link_id":1309,"relation":"undefined"}],"grants":[{"id":881,"fairsharing_record_id":1837,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:47.636Z","updated_at":"2021-09-30T09:24:47.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7992,"fairsharing_record_id":1837,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:30:17.310Z","updated_at":"2021-09-30T09:30:17.360Z","grant_id":639,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"58-1907-0-041","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8133,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:07.889Z","updated_at":"2021-09-30T09:31:07.950Z","grant_id":1031,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1127112","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":882,"fairsharing_record_id":1837,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:47.669Z","updated_at":"2021-09-30T09:24:47.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":885,"fairsharing_record_id":1837,"organisation_id":548,"relation":"maintains","created_at":"2021-09-30T09:24:47.776Z","updated_at":"2021-09-30T09:24:47.776Z","grant_id":null,"is_lead":true,"saved_state":{"id":548,"name":"Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":883,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:47.708Z","updated_at":"2021-09-30T09:29:35.763Z","grant_id":317,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0321685","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":884,"fairsharing_record_id":1837,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:47.739Z","updated_at":"2021-09-30T09:29:54.712Z","grant_id":464,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"00-52100-9622","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8212,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:34.423Z","updated_at":"2021-09-30T09:31:34.476Z","grant_id":1231,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0851652","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8397,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:27.009Z","updated_at":"2021-09-30T09:32:27.057Z","grant_id":1625,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0703908","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1833","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:20.421Z","metadata":{"doi":"10.25504/FAIRsharing.5125qd","name":"FireDB","status":"ready","contacts":[{"contact_name":"Paolo Maietta","contact_email":"pmaietta@cnio.es"}],"homepage":"http://firedb.bioinfo.cnio.es/","identifier":1833,"description":"fireDB is a database of Protein Data Bank structures, ligands and annotated functional site residues. The database can be accessed by PDB codes or UniProt accession numbers as well as keywords.","abbreviation":"FireDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://firedb.bioinfo.cnio.es/Php/Help.php","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000293","bsg-d000293"],"name":"FAIRsharing record for: FireDB","abbreviation":"FireDB","url":"https://fairsharing.org/10.25504/FAIRsharing.5125qd","doi":"10.25504/FAIRsharing.5125qd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: fireDB is a database of Protein Data Bank structures, ligands and annotated functional site residues. The database can be accessed by PDB codes or UniProt accession numbers as well as keywords.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Annotation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":348,"pubmed_id":17132832,"title":"FireDB--a database of functionally important residues from proteins of known structure.","year":2006,"url":"http://doi.org/10.1093/nar/gkl897","authors":"Lopez G., Valencia A., Tress M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl897","created_at":"2021-09-30T08:22:57.474Z","updated_at":"2021-09-30T08:22:57.474Z"},{"id":1296,"pubmed_id":24243844,"title":"FireDB: a compendium of biological and pharmacologically relevant ligands.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1127","authors":"Maietta P,Lopez G,Carro A,Pingilley BJ,Leon LG,Valencia A,Tress ML","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1127","created_at":"2021-09-30T08:24:44.673Z","updated_at":"2021-09-30T11:29:05.467Z"}],"licence_links":[],"grants":[{"id":874,"fairsharing_record_id":1833,"organisation_id":2610,"relation":"funds","created_at":"2021-09-30T09:24:47.367Z","updated_at":"2021-09-30T09:24:47.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":2610,"name":"Spanish National Cancer Research Centre (CNIO)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":873,"fairsharing_record_id":1833,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:47.287Z","updated_at":"2021-09-30T09:31:24.434Z","grant_id":1155,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2012-40205","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1834","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:02:46.342Z","metadata":{"doi":"10.25504/FAIRsharing.ntyq70","name":"The Carbohydrate-Active enZYmes Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"cazy@afmb.univ-mrs.fr"}],"homepage":"http://www.cazy.org/","identifier":1834,"description":"The CAZy database describes the families of structurally-related catalytic and carbohydrate-binding modules (or functional domains) of enzymes that degrade, modify, or create glycosidic bonds.","abbreviation":"CAZy","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.cazy.org/Help.html","type":"Help documentation"}],"year_creation":1998,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012321","name":"re3data:r3d100012321","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012909","name":"SciCrunch:RRID:SCR_012909","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.cazypedia.org/index.php/CAZypedia:About#Contributors","type":"controlled","notes":"Submitted data is assigned to a Responsible Curator based on particular expertise."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000294","bsg-d000294"],"name":"FAIRsharing record for: The Carbohydrate-Active enZYmes Database","abbreviation":"CAZy","url":"https://fairsharing.org/10.25504/FAIRsharing.ntyq70","doi":"10.25504/FAIRsharing.ntyq70","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CAZy database describes the families of structurally-related catalytic and carbohydrate-binding modules (or functional domains) of enzymes that degrade, modify, or create glycosidic bonds.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Carbohydrate","Polysaccharide","Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":24,"pubmed_id":18838391,"title":"The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn663","authors":"Cantarel BL., Coutinho PM., Rancurel C., Bernard T., Lombard V., Henrissat B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn663","created_at":"2021-09-30T08:22:22.980Z","updated_at":"2021-09-30T08:22:22.980Z"},{"id":30,"pubmed_id":24270786,"title":"The carbohydrate-active enzymes database (CAZy) in 2013.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1178","authors":"Lombard V,Golaconda Ramulu H,Drula E,Coutinho PM,Henrissat B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1178","created_at":"2021-09-30T08:22:23.553Z","updated_at":"2021-09-30T11:28:41.575Z"}],"licence_links":[],"grants":[{"id":875,"fairsharing_record_id":1834,"organisation_id":1661,"relation":"maintains","created_at":"2021-09-30T09:24:47.409Z","updated_at":"2021-09-30T09:24:47.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":1661,"name":"Laboratoire Architecture et Fonction des Macromolecules Biologiques (AFMB), Marseille, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":876,"fairsharing_record_id":1834,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:47.451Z","updated_at":"2021-09-30T09:32:38.398Z","grant_id":1712,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-10-BINF-03-04","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1835","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:49.056Z","metadata":{"doi":"10.25504/FAIRsharing.csbxzs","name":"The Diatom EST Database","status":"ready","contacts":[{"contact_name":"Chris Bowler","contact_email":"cbowler@biologie.ens.fr"}],"homepage":"http://www.biologie.ens.fr/diatomics/EST3","identifier":1835,"description":"Diatoms are photosynthetic unicellular eukaryotes that play an essential role in marine ecosystems. On a global scale, they generate around one fifth of the oxygen we breathe. On this web site we present searchable databases of diatom ESTs (expressed sequence tags) that can be used to explore diatom biology.","abbreviation":null,"data_curation":{"type":"not found"},"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000295","bsg-d000295"],"name":"FAIRsharing record for: The Diatom EST Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.csbxzs","doi":"10.25504/FAIRsharing.csbxzs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Diatoms are photosynthetic unicellular eukaryotes that play an essential role in marine ecosystems. On a global scale, they generate around one fifth of the oxygen we breathe. On this web site we present searchable databases of diatom ESTs (expressed sequence tags) that can be used to explore diatom biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Messenger RNA"],"taxonomies":["Phaeodactylum tricornutum","Thalassiosira pseudonana"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":338,"pubmed_id":19029140,"title":"Update of the Diatom EST Database: a new tool for digital transcriptomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn905","authors":"Maheswari U., Mock T., Armbrust EV., Bowler C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn905","created_at":"2021-09-30T08:22:56.383Z","updated_at":"2021-09-30T08:22:56.383Z"},{"id":1611,"pubmed_id":15608213,"title":"The Diatom EST Database.","year":2004,"url":"http://doi.org/10.1093/nar/gki121","authors":"Maheswari U,Montsant A,Goll J,Krishnasamy S,Rajyashri KR,Patell VM,Bowler C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki121","created_at":"2021-09-30T08:25:20.558Z","updated_at":"2021-09-30T11:29:15.886Z"}],"licence_links":[{"licence_name":"Diatomics Data Policies and Disclaimer","licence_id":240,"licence_url":"http://www.diatomics.biologie.ens.fr/EST3/disclaimer.html","link_id":294,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":284,"relation":"undefined"}],"grants":[{"id":877,"fairsharing_record_id":1835,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:47.500Z","updated_at":"2021-09-30T09:24:47.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1838","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T18:02:29.234Z","metadata":{"doi":"10.25504/FAIRsharing.7hxxc4","name":"PhylomeDB","status":"ready","contacts":[{"contact_name":"Toni Gabaldon","contact_email":"toni.gabaldon@bsc.es"}],"homepage":"http://phylomedb.org","citations":[{"doi":"10.1093/nar/gkab966","pubmed_id":34718760,"publication_id":3126}],"identifier":1838,"description":"PhylomeDB is a unique knowledge base providing public access to minable and browsable catalogues of pre-computed, genome-wide collections of annotated sequences, alignments and phylogenies (i.e. phylomes) of homologous genes, as well as to their corresponding phylogeny-based orthology and paralogy relationships. In addition, PhylomeDB trees and alignments can be downloaded for further processing to detect and date gene duplication events, infer past events of inter-species hybridization and horizontal gene transfer, as well as to uncover footprints of selection, introgression, gene conversion, or other relevant evolutionary processes in the genes and organisms of interests. The v5 release also represents a significant core data expansion, with the database providing access to 534 phylomes, comprising over 8 million trees, and homology relationships for genes in over 6000 species. This makes PhylomeDB the largest and most comprehensive public repository of gene phylogenies ","abbreviation":"PhylomeDB","data_curation":{"url":"http://phylomedb.org/help","type":"automated"},"support_links":[{"url":"http://phylomedb.org/faq","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://phylomedb.org/help","name":"Help","type":"Help documentation"},{"url":"https://twitter.com/phylomedb","name":"@phylomedb","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000298","bsg-d000298"],"name":"FAIRsharing record for: PhylomeDB","abbreviation":"PhylomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.7hxxc4","doi":"10.25504/FAIRsharing.7hxxc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhylomeDB is a unique knowledge base providing public access to minable and browsable catalogues of pre-computed, genome-wide collections of annotated sequences, alignments and phylogenies (i.e. phylomes) of homologous genes, as well as to their corresponding phylogeny-based orthology and paralogy relationships. In addition, PhylomeDB trees and alignments can be downloaded for further processing to detect and date gene duplication events, infer past events of inter-species hybridization and horizontal gene transfer, as well as to uncover footprints of selection, introgression, gene conversion, or other relevant evolutionary processes in the genes and organisms of interests. The v5 release also represents a significant core data expansion, with the database providing access to 534 phylomes, comprising over 8 million trees, and homology relationships for genes in over 6000 species. This makes PhylomeDB the largest and most comprehensive public repository of gene phylogenies ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Phylogeny","Phylogenetics","Phylogenomics","Life Science"],"domains":["Protein name","Sequence similarity","Taxonomic classification","Gene functional annotation","Model organism","Proteome","Conserved region","Orthologous","Genome"],"taxonomies":["All"],"user_defined_tags":["phylome","phylogenetic tree"],"countries":["Spain"],"publications":[{"id":365,"pubmed_id":17962297,"title":"PhylomeDB: a database for genome-wide collections of gene phylogenies.","year":2007,"url":"http://doi.org/10.1093/nar/gkm899","authors":"Huerta-Cepas J., Bueno A., Dopazo J., Gabaldón T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm899","created_at":"2021-09-30T08:22:59.258Z","updated_at":"2021-09-30T08:22:59.258Z"},{"id":600,"pubmed_id":21075798,"title":"PhylomeDB v3.0: an expanding repository of genome-wide collections of trees, alignments and phylogeny-based orthology and paralogy predictions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1109","authors":"Huerta-Cepas J, Capella-Gutierrez S, Pryszcz LP, Denisov I, Kormes D, Marcet-Houben M, Gabaldón T. - See more at: http://www.biosharing.org/biodbcore-000611#sthash.SMMBBe07.dpuf","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1109","created_at":"2021-09-30T08:23:25.795Z","updated_at":"2021-09-30T08:23:25.795Z"},{"id":1606,"pubmed_id":24275491,"title":"PhylomeDB v4: zooming into the plurality of evolutionary histories of a genome.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1177","authors":"Huerta-Cepas J,Capella-Gutierrez S,Pryszcz LP,Marcet-Houben M,Gabaldon T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1177","created_at":"2021-09-30T08:25:20.051Z","updated_at":"2021-09-30T11:29:15.502Z"},{"id":3126,"pubmed_id":34718760,"title":"PhylomeDB V5: an expanding repository for genome-wide catalogues of annotated gene phylogenies.","year":2021,"url":"https://doi.org/10.1093/nar/gkab966","authors":"Fuentes D, Molina M, Chorostecki U, Capella-Gutiérrez S, Marcet-Houben M, Gabaldón T","journal":"Nucleic acids research","doi":"10.1093/nar/gkab966","created_at":"2021-11-03T15:02:44.379Z","updated_at":"2021-11-03T15:02:44.379Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Generic (CC BY-NC-SA 2.0)","licence_id":179,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.0/","link_id":2462,"relation":"applies_to_content"}],"grants":[{"id":889,"fairsharing_record_id":1838,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:24:47.947Z","updated_at":"2021-09-30T09:30:02.255Z","grant_id":524,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"FP/2007-2013/ERC","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8511,"fairsharing_record_id":1838,"organisation_id":1392,"relation":"maintains","created_at":"2021-10-11T12:13:57.333Z","updated_at":"2021-10-11T12:13:57.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":1392,"name":"Institute for Research in Biomedicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":888,"fairsharing_record_id":1838,"organisation_id":2387,"relation":"funds","created_at":"2021-09-30T09:24:47.903Z","updated_at":"2021-09-30T09:30:19.347Z","grant_id":656,"is_lead":false,"saved_state":{"id":2387,"name":"Qatar National Research Fund","grant":"NPRP 5-298-3-086","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":886,"fairsharing_record_id":1838,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:47.819Z","updated_at":"2021-09-30T09:31:15.125Z","grant_id":1087,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2012-37161","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8241,"fairsharing_record_id":1838,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:31:41.782Z","updated_at":"2021-09-30T09:31:41.831Z","grant_id":1287,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"ERC-2012-StG-310325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8510,"fairsharing_record_id":1838,"organisation_id":167,"relation":"maintains","created_at":"2021-10-11T12:13:57.307Z","updated_at":"2021-10-11T12:13:57.307Z","grant_id":null,"is_lead":false,"saved_state":{"id":167,"name":"Barcelona Supercomputing Center (BSC), Barcelona, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1839","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:10.620Z","metadata":{"doi":"10.25504/FAIRsharing.k4sp7m","name":"PDB-REPRDB","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"papia-help@cbrc.jp"}],"homepage":"http://mbs.cbrc.jp/pdbreprdb-cgi/reprdb_menu.pl","identifier":1839,"description":"PDB-REPRDB is a reorganized database of protein chains from PDB(Protein Data Bank), and provides 'the list of the representative protein chains' and 'the list of similar protein chain groups'.","abbreviation":"PDB-REPRDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://mbs.cbrc.jp/pdbreprdb/howtouse/howtouse_pdbreprdb_dynamic.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000299","bsg-d000299"],"name":"FAIRsharing record for: PDB-REPRDB","abbreviation":"PDB-REPRDB","url":"https://fairsharing.org/10.25504/FAIRsharing.k4sp7m","doi":"10.25504/FAIRsharing.k4sp7m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDB-REPRDB is a reorganized database of protein chains from PDB(Protein Data Bank), and provides 'the list of the representative protein chains' and 'the list of similar protein chain groups'.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12634}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":360,"pubmed_id":12520060,"title":"PDB-REPRDB: a database of representative protein chains from the Protein Data Bank (PDB) in 2003.","year":2003,"url":"http://doi.org/10.1093/nar/gkg022","authors":"Noguchi T., Akiyama Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg022","created_at":"2021-09-30T08:22:58.707Z","updated_at":"2021-09-30T08:22:58.707Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":297,"relation":"undefined"}],"grants":[{"id":890,"fairsharing_record_id":1839,"organisation_id":2007,"relation":"funds","created_at":"2021-09-30T09:24:47.971Z","updated_at":"2021-09-30T09:24:47.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1840","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-09T09:35:40.732Z","metadata":{"doi":"10.25504/FAIRsharing.391trx","name":"Plant Genome Network","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"sgn-feedback@sgn.cornell.edu"}],"homepage":"http://pgn.cornell.edu/","citations":[],"identifier":1840,"description":"PGN is a repository for plant EST sequence data located at Cornell. It comprises an analysis pipeline and a website, and presently contains mainly data from the Floral Genome Project.","abbreviation":"PGN","data_curation":{"type":"not found"},"support_links":[{"url":"http://pgn.cornell.edu/help/","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://pgn.cornell.edu/blast/blast_search.pl","name":"BLAST"}],"deprecation_date":"2015-11-17","deprecation_reason":"This resource is no longer actively maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000300","bsg-d000300"],"name":"FAIRsharing record for: Plant Genome Network","abbreviation":"PGN","url":"https://fairsharing.org/10.25504/FAIRsharing.391trx","doi":"10.25504/FAIRsharing.391trx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PGN is a repository for plant EST sequence data located at Cornell. It comprises an analysis pipeline and a website, and presently contains mainly data from the Floral Genome Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":891,"fairsharing_record_id":1840,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:48.002Z","updated_at":"2021-09-30T09:24:48.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1197","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-18T08:39:46.322Z","metadata":{"doi":"10.25504/FAIRsharing.4c0b6b","name":"UBER anatomy ONtology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"http://uberon.org/","citations":[{"doi":"10.1186/gb-2012-13-1-r5","pubmed_id":22293552,"publication_id":933}],"identifier":1197,"description":"Uberon is an integrated cross-species anatomy ontology covering animals and bridging multiple species-specific ontologies. It represents a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data.","abbreviation":"UBERON","support_links":[{"url":"https://github.com/obophenotype/uberon/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"obo-anatomy@lists.sourceforge.net","name":"OBO Anatomy Mailing List","type":"Mailing list"},{"url":"https://github.com/obophenotype/uberon","name":"GitHub Repository","type":"Github"},{"url":"https://github.com/obophenotype/uberon/wiki/Manual","name":"User Manual","type":"Github"},{"url":"https://twitter.com/uberanat","name":"@uberanat","type":"Twitter"},{"url":"http://en.wikipedia.org/wiki/Uberon","name":"UBERON Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012,"associated_tools":[{"url":"http://uberon.github.io/browse/phenoscape.html","name":"Phenoscape"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UBERON","name":"UBERON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/uberon.html","name":"uberon","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000016","bsg-s000016"],"name":"FAIRsharing record for: UBER anatomy ONtology","abbreviation":"UBERON","url":"https://fairsharing.org/10.25504/FAIRsharing.4c0b6b","doi":"10.25504/FAIRsharing.4c0b6b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Uberon is an integrated cross-species anatomy ontology covering animals and bridging multiple species-specific ontologies. It represents a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18260},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17571},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11818},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12086},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12228},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13197},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13235}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Taxonomy","Developmental Biology","Life Science"],"domains":[],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":933,"pubmed_id":22293552,"title":"Uberon, an integrative multi-species anatomy ontology.","year":2012,"url":"http://doi.org/10.1186/gb-2012-13-1-r5","authors":"Mungall CJ,Torniai C,Gkoutos GV,Lewis SE,Haendel MA","journal":"Genome Biol","doi":"10.1186/gb-2012-13-1-r5","created_at":"2021-09-30T08:24:03.233Z","updated_at":"2021-09-30T08:24:03.233Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1460,"relation":"undefined"}],"grants":[{"id":6972,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:21.223Z","updated_at":"2021-09-30T09:29:11.162Z","grant_id":130,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U24RR029825-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6970,"fairsharing_record_id":1197,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:21.159Z","updated_at":"2021-09-30T09:29:42.962Z","grant_id":372,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-0956049","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7983,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:15.288Z","updated_at":"2021-09-30T09:30:15.343Z","grant_id":623,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41HG002273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8193,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:26.664Z","updated_at":"2021-09-30T09:31:26.705Z","grant_id":1171,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HG004838","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6969,"fairsharing_record_id":1197,"organisation_id":2881,"relation":"maintains","created_at":"2021-09-30T09:28:21.121Z","updated_at":"2021-09-30T09:28:21.121Z","grant_id":null,"is_lead":true,"saved_state":{"id":2881,"name":"UBERON administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6971,"fairsharing_record_id":1197,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:28:21.191Z","updated_at":"2021-09-30T09:30:35.243Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7874,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:18.349Z","updated_at":"2021-09-30T09:29:18.425Z","grant_id":187,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R24OD011883","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8051,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:39.444Z","updated_at":"2021-09-30T09:30:39.494Z","grant_id":810,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41HG002273-09S1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1198","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:04:59.612Z","metadata":{"doi":"10.25504/FAIRsharing.d3pqw7","name":"Quantities, Units, Dimensions and Types","status":"ready","contacts":[{"contact_name":"QUDT administrators","contact_email":"info@qudt.org"}],"homepage":"http://qudt.org/","citations":[],"identifier":1198,"description":"The QUDT, or 'Quantity, Unit, Dimension and Type' collection of ontologies define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. QUDT provides a unified model of measurable quantities, units for measuring different kinds of quantities, the numerical values of quantities in different units of measure and the data structures and data types used to store and manipulate these objects in software. This OWL schema is a foundation for a basic treatment of units. Originally developed by TopQuadrant for the NASA Exploration Initiatives Ontology Models (NExIOM) project, they now form the basis of the NASA QUDT Handbook. QUDT aims to improve interoperability of data and the specification of information structures through industry standards for Units of Measure, Quantity Kinds, Dimensions and Data Types.","abbreviation":"QUDT","support_links":[{"url":"https://github.com/qudt/qudt-public-repo/wiki/User-Guide-for-QUDT","name":"User Guide","type":"Github"},{"url":"http://github.com/qudt/qudt-public-repo","name":"GitHub Project","type":"Github"},{"url":"https://github.com/qudt/qudt-public-repo/blob/master/docs/2020-04-28%20Intro%20to%20QUDT.pdf","name":"Introduction to QUDT (PDF)","type":"Github"},{"url":"http://www.qudt.org/pages/QUDToverviewPage.html","name":"QUDT Overview","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=P5XS3VKyVZ8","name":"Introduction to the QUDT EDG Browser","type":"Video"},{"url":"info@qudt.org","type":"Support email"}],"year_creation":2011,"associated_tools":[{"url":"http://www.qudt.org/edg/tbl","name":"QUDT EDG Environment"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/QUDT","name":"QUDT","portal":"BioPortal"}]},"legacy_ids":["bsg-002801","bsg-s002801"],"name":"FAIRsharing record for: Quantities, Units, Dimensions and Types","abbreviation":"QUDT","url":"https://fairsharing.org/10.25504/FAIRsharing.d3pqw7","doi":"10.25504/FAIRsharing.d3pqw7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The QUDT, or 'Quantity, Unit, Dimension and Type' collection of ontologies define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. QUDT provides a unified model of measurable quantities, units for measuring different kinds of quantities, the numerical values of quantities in different units of measure and the data structures and data types used to store and manipulate these objects in software. This OWL schema is a foundation for a basic treatment of units. Originally developed by TopQuadrant for the NASA Exploration Initiatives Ontology Models (NExIOM) project, they now form the basis of the NASA QUDT Handbook. QUDT aims to improve interoperability of data and the specification of information structures through industry standards for Units of Measure, Quantity Kinds, Dimensions and Data Types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":["Experimental measurement","Unit"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":839,"relation":"undefined"}],"grants":[{"id":6974,"fairsharing_record_id":1198,"organisation_id":2867,"relation":"funds","created_at":"2021-09-30T09:28:21.280Z","updated_at":"2021-09-30T09:28:21.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":2867,"name":"TopQuadrant","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6976,"fairsharing_record_id":1198,"organisation_id":2392,"relation":"maintains","created_at":"2021-09-30T09:28:21.336Z","updated_at":"2021-09-30T09:28:21.336Z","grant_id":null,"is_lead":true,"saved_state":{"id":2392,"name":"QUDT.org","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6973,"fairsharing_record_id":1198,"organisation_id":957,"relation":"undefined","created_at":"2021-09-30T09:28:21.256Z","updated_at":"2021-09-30T09:28:21.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":957,"name":"European Space Agency","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6975,"fairsharing_record_id":1198,"organisation_id":1934,"relation":"funds","created_at":"2021-09-30T09:28:21.305Z","updated_at":"2021-09-30T09:28:21.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":1934,"name":"NASA Ames Research Center, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1199","type":"fairsharing_records","attributes":{"created_at":"2021-01-05T15:03:16.000Z","updated_at":"2022-09-29T09:32:12.393Z","metadata":{"doi":"10.25504/FAIRsharing.f8cd83","name":"Climate and Forecast Standard Names Parameter Vocabulary","status":"ready","contacts":[],"homepage":"http://cfconventions.org/Data/cf-standard-names/current/build/cf-standard-name-table.html","citations":[],"identifier":1199,"description":"The Climate and Forecast Standard Names Parameter Vocabulary (CF Standard Names) is intended for use with climate and forecast data in the atmosphere, surface and ocean domains. The CF Standard Names are the list of standard names used by the CF conventions. The list includes the units recommended for each standard name (most common prefixes can be used with the units, e.g. kilo (k), hecto (h), Mega (M), etc). If a standard_name metadata attribute is associated with a data variable, its value must be chosen from the list published in the standard name table. It is not compulsory within the CF conventions to assign a standard name to a data variable, but including one helps data users to understand the contents of a netCDF file. A CF standard name is not a netCDF variable name, but instead a value for the standard_name variable attribute. A standard_name attribute identifies the physical quantity of a variable.","abbreviation":"CF Standard Names","support_links":[{"url":"cf-metadata@cgd.ucar.edu","name":"Mailing List","type":"Mailing list"},{"url":"http://cfconventions.org/Data/cf-standard-names/docs/standard-name-contributors.html","name":"Contributors","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001560","bsg-s001560"],"name":"FAIRsharing record for: Climate and Forecast Standard Names Parameter Vocabulary","abbreviation":"CF Standard Names","url":"https://fairsharing.org/10.25504/FAIRsharing.f8cd83","doi":"10.25504/FAIRsharing.f8cd83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Climate and Forecast Standard Names Parameter Vocabulary (CF Standard Names) is intended for use with climate and forecast data in the atmosphere, surface and ocean domains. The CF Standard Names are the list of standard names used by the CF conventions. The list includes the units recommended for each standard name (most common prefixes can be used with the units, e.g. kilo (k), hecto (h), Mega (M), etc). If a standard_name metadata attribute is associated with a data variable, its value must be chosen from the list published in the standard name table. It is not compulsory within the CF conventions to assign a standard name to a data variable, but including one helps data users to understand the contents of a netCDF file. A CF standard name is not a netCDF variable name, but instead a value for the standard_name variable attribute. A standard_name attribute identifies the physical quantity of a variable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Atmospheric Science","Oceanography","Hydrology"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Carbon cycle","Forecasting","Sea ice"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6977,"fairsharing_record_id":1199,"organisation_id":484,"relation":"maintains","created_at":"2021-09-30T09:28:21.375Z","updated_at":"2021-09-30T09:28:21.375Z","grant_id":null,"is_lead":true,"saved_state":{"id":484,"name":"CF Metadata Conventions Governance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1200","type":"fairsharing_records","attributes":{"created_at":"2021-07-12T14:21:21.000Z","updated_at":"2023-04-19T15:41:50.869Z","metadata":{"doi":"10.25504/FAIRsharing.65cb7e","name":"MIRAGE reporting guidelines for capillary electrophoresis","status":"ready","contacts":[{"contact_name":"Dr. Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#ce_analysis","citations":[],"identifier":1200,"description":"These guidelines for glyco(proteo)mics analyzed by capillary electrophoresis (CE) aim for standardized and high quality reporting of experimental conditions in the scientific literature. The guidelines cover all aspects of a glyco(proteo)mics CE experiment including sample preparation, CE operation mode (CZE, CGE, CEC, MEKC, cIEF, cITP), instrument configuration, capillary separation conditions, detection, data analysis, and experimental descriptors.","abbreviation":"MIRAGE CE guideline","support_links":[{"url":"https://www.beilstein-institut.de/media/ce-guidelines_data_reporting_examples.pdf","name":"Data Reporting Examples for MIRAGE CE-Guidelines","type":"Help documentation"}],"year_creation":2021,"associated_tools":[]},"legacy_ids":["bsg-001623","bsg-s001623"],"name":"FAIRsharing record for: MIRAGE reporting guidelines for capillary electrophoresis","abbreviation":"MIRAGE CE guideline","url":"https://fairsharing.org/10.25504/FAIRsharing.65cb7e","doi":"10.25504/FAIRsharing.65cb7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines for glyco(proteo)mics analyzed by capillary electrophoresis (CE) aim for standardized and high quality reporting of experimental conditions in the scientific literature. The guidelines cover all aspects of a glyco(proteo)mics CE experiment including sample preparation, CE operation mode (CZE, CGE, CEC, MEKC, cIEF, cITP), instrument configuration, capillary separation conditions, detection, data analysis, and experimental descriptors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Glycomics"],"domains":["Experimental measurement","Protocol","Electrophoresis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","Singapore","United Kingdom","United States"],"publications":[{"id":3284,"pubmed_id":null,"title":"The minimum information required for a glycomics experiment (MIRAGE): reporting guidelines for capillary electrophoresis","year":2022,"url":"http://dx.doi.org/10.1093/glycob/cwac021","authors":"Lageveen-Kammeijer, Guinevere S M; Rapp, Erdmann; Chang, Deborah; Rudd, Pauline M; Kettner, Carsten; Zaia, Joseph; ","journal":"Glycobiology","doi":"10.1093/glycob/cwac021","created_at":"2022-03-30T13:45:45.956Z","updated_at":"2022-03-30T13:45:45.956Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3179,"relation":"undefined"}],"grants":[{"id":6978,"fairsharing_record_id":1200,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:28:21.408Z","updated_at":"2021-09-30T09:28:21.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6980,"fairsharing_record_id":1200,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:28:21.487Z","updated_at":"2021-09-30T09:28:21.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6981,"fairsharing_record_id":1200,"organisation_id":1790,"relation":"maintains","created_at":"2021-09-30T09:28:21.528Z","updated_at":"2021-09-30T09:28:21.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":1790,"name":"Max Planck Institute for the Dynmics of Complex Technical Systems Magdeburg","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9020,"fairsharing_record_id":1200,"organisation_id":37,"relation":"maintains","created_at":"2022-03-24T11:00:38.696Z","updated_at":"2022-03-24T11:00:38.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6979,"fairsharing_record_id":1200,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:21.445Z","updated_at":"2021-09-30T09:28:21.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWDg9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--25c9bacedf2375020a0784841ad02fc6962d19b8/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1201","type":"fairsharing_records","attributes":{"created_at":"2016-11-09T13:36:23.000Z","updated_at":"2021-11-24T13:14:28.342Z","metadata":{"doi":"10.25504/FAIRsharing.zgwrmg","name":"Minimum Information Model for tolAPC","status":"ready","contacts":[{"contact_email":"catharien.hilkens@newcastle.ac.uk"}],"homepage":"https://doi.org/10.7717/peerj.2300","identifier":1201,"description":"The minimum information model for tolAPC (MITAP) guideline is an initiative of members of the tolAPC field to provide a reporting framework that will make differences and similarities between tolAPC products transparent. Cellular therapies with tolerogenic antigen-presenting cells (tolAPC) show great promise for the treatment of autoimmune diseases and for the prevention of destructive immune responses after transplantation. The methodologies for generating tolAPC vary greatly between different laboratories, making it difficult to compare data from different studies; thus constituting a major hurdle for the development of standardised tolAPC therapeutic products. MITAP constitutes a first but important step towards the production of standardised and reproducible tolAPC for clinical application.","abbreviation":"MITAP","support_links":[{"url":"https://ia600500.us.archive.org/33/items/ontolink/mitap/","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000687","bsg-s000687"],"name":"FAIRsharing record for: Minimum Information Model for tolAPC","abbreviation":"MITAP","url":"https://fairsharing.org/10.25504/FAIRsharing.zgwrmg","doi":"10.25504/FAIRsharing.zgwrmg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The minimum information model for tolAPC (MITAP) guideline is an initiative of members of the tolAPC field to provide a reporting framework that will make differences and similarities between tolAPC products transparent. Cellular therapies with tolerogenic antigen-presenting cells (tolAPC) show great promise for the treatment of autoimmune diseases and for the prevention of destructive immune responses after transplantation. The methodologies for generating tolAPC vary greatly between different laboratories, making it difficult to compare data from different studies; thus constituting a major hurdle for the development of standardised tolAPC therapeutic products. MITAP constitutes a first but important step towards the production of standardised and reproducible tolAPC for clinical application.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12509}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunology","Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","Chile","France","Germany","Ireland","Italy","Netherlands","Norway","Serbia","Spain","Turkey","United Kingdom","United States"],"publications":[{"id":1785,"pubmed_id":27635311,"title":"Minimum information about tolerogenic antigen-presenting cells (MITAP): a first step towards reproducibility and standardisation of cellular therapies.","year":2016,"url":"http://doi.org/10.7717/peerj.2300","authors":"Lord P,Spiering R,Aguillon JC,Anderson AE,Appel S,Benitez-Ribas D,Ten Brinke A,Broere F,Cools N,Cuturi MC,Diboll J,Geissler EK,Giannoukakis N,Gregori S,van Ham SM,Lattimer S,Marshall L,Harry RA,Hutchinson JA,Isaacs JD,Joosten I,van Kooten C,Lopez Diaz de Cerio A,Nikolic T,Oral HB,Sofronic-Milosavljevic L,Ritter T,Riquelme P,Thomson AW,Trucco M,Vives-Pi M,Martinez-Caceres EM,Hilkens CM","journal":"PeerJ","doi":"10.7717/peerj.2300","created_at":"2021-09-30T08:25:40.321Z","updated_at":"2021-09-30T08:25:40.321Z"}],"licence_links":[],"grants":[{"id":6983,"fairsharing_record_id":1201,"organisation_id":926,"relation":"funds","created_at":"2021-09-30T09:28:21.654Z","updated_at":"2021-09-30T09:29:49.087Z","grant_id":418,"is_lead":false,"saved_state":{"id":926,"name":"European Cooperation in Science and Technology","grant":"Action to Focus and Accelerate Cell-based Tolerance-inducing Therapies; BM1305","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1202","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:15:43.454Z","metadata":{"doi":"10.25504/FAIRsharing.hbwfep","name":"Minimal Information for Protein Functional Evaluation","status":"uncertain","contacts":[{"contact_name":"Ario de Marco","contact_email":"ario.demarco@ifom-ieo-campus.it"}],"homepage":"http://mibbi.sourceforge.net/projects/MIPFE.shtml","identifier":1202,"description":"Reporting requirements for the evaluation of recombinant protein functionality – MIPFE version 0.1. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"MIPFE","support_links":[{"url":"davide.cittaro@ifom-ieo-campus.it","type":"Support email"},{"url":"deborah.agostini@ifom-ieo-campus.it","type":"Support email"},{"url":"http://mibbi.sourceforge.net/projects/MIPFE/docs/MIPFE_specification_v0.0.doc","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000160","bsg-s000160"],"name":"FAIRsharing record for: Minimal Information for Protein Functional Evaluation","abbreviation":"MIPFE","url":"https://fairsharing.org/10.25504/FAIRsharing.hbwfep","doi":"10.25504/FAIRsharing.hbwfep","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reporting requirements for the evaluation of recombinant protein functionality – MIPFE version 0.1. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11582},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11982}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Life Science"],"domains":["Annotation","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1684,"pubmed_id":18647423,"title":"Minimal information: an urgent need to assess the functional reliability of recombinant proteins used in biological experiments.","year":2008,"url":"http://doi.org/10.1186/1475-2859-7-20","authors":"de Marco A","journal":"Microb Cell Fact","doi":"10.1186/1475-2859-7-20","created_at":"2021-09-30T08:25:28.680Z","updated_at":"2021-09-30T08:25:28.680Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1209","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.409Z","metadata":{"doi":"10.25504/FAIRsharing.m0pprb","name":"Randomized Controlled Trials Ontology","status":"ready","contacts":[{"contact_name":"Amrapali Zaveri","contact_email":"amrapali.j.zaveri@gmail.com","contact_orcid":"0000-0003-3239-4588"}],"homepage":"http://bioportal.bioontology.org/ontologies/1676","identifier":1209,"description":"An ontology specifically for Randomized Controlled Trials in order to facilitate the production of systematic reviews and metaanalysis.","abbreviation":"RCTONT","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RCTONT","name":"RCTONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002760","bsg-s002760"],"name":"FAIRsharing record for: Randomized Controlled Trials Ontology","abbreviation":"RCTONT","url":"https://fairsharing.org/10.25504/FAIRsharing.m0pprb","doi":"10.25504/FAIRsharing.m0pprb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology specifically for Randomized Controlled Trials in order to facilitate the production of systematic reviews and metaanalysis.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12465}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Biomedical Science","Preclinical Studies"],"domains":["Evidence","Systematic review"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Singapore"],"publications":[{"id":1775,"pubmed_id":20953737,"title":"Achieving high research reporting quality through the use of computational ontologies.","year":2010,"url":"http://doi.org/10.1007/s12021-010-9079-5","authors":"Zaveri A,Cofiel L,Shah J,Pradhan S,Chan E,Dameron O,Pietrobon R,Ang BT","journal":"Neuroinformatics","doi":"10.1007/s12021-010-9079-5","created_at":"2021-09-30T08:25:39.205Z","updated_at":"2021-09-30T08:25:39.205Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":243,"relation":"undefined"}],"grants":[{"id":6998,"fairsharing_record_id":1209,"organisation_id":2054,"relation":"maintains","created_at":"2021-09-30T09:28:22.149Z","updated_at":"2021-09-30T09:28:22.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2054,"name":"National Neuroscience Institute (NNI), Singapore, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1210","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T11:11:55.000Z","updated_at":"2022-02-08T10:29:06.093Z","metadata":{"doi":"10.25504/FAIRsharing.22041b","name":"Shoreline Metadata Profile of the Content Standards for Digital Geospatial Metadata","status":"ready","contacts":[{"contact_name":"Tony LaVoi","contact_email":"tony.lavoi@noaa.gov"}],"homepage":"https://www.fgdc.gov/standards/projects/FGDC-standards-projects/metadata/shoreline-metadata/","citations":[],"identifier":1210,"description":"The Shoreline Metadata Profile provides the format and content for describing data sets related to shoreline and other coastal data sets. The metadata complies with the FGDC Content Standards for Digital Geospatial Standard. It provides additional terms and data elements required to support metadata for shoreline and coastal data sets. The profile is primarily oriented toward providing the elements necessary for documenting shoreline data and reaching a common understanding of the shoreline for national mapping purposes and other geospatial and Geographic Information Systems (GIS) applications. Shoreline data are important for coastal zone management, environmental monitoring, resource developments, legal land jurisdictional issues, ocean and meteorological modeling, engineering, construction, planning, and many other uses.","abbreviation":"SMP - CSDGM","support_links":[],"year_creation":1998},"legacy_ids":["bsg-001311","bsg-s001311"],"name":"FAIRsharing record for: Shoreline Metadata Profile of the Content Standards for Digital Geospatial Metadata","abbreviation":"SMP - CSDGM","url":"https://fairsharing.org/10.25504/FAIRsharing.22041b","doi":"10.25504/FAIRsharing.22041b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Shoreline Metadata Profile provides the format and content for describing data sets related to shoreline and other coastal data sets. The metadata complies with the FGDC Content Standards for Digital Geospatial Standard. It provides additional terms and data elements required to support metadata for shoreline and coastal data sets. The profile is primarily oriented toward providing the elements necessary for documenting shoreline data and reaching a common understanding of the shoreline for national mapping purposes and other geospatial and Geographic Information Systems (GIS) applications. Shoreline data are important for coastal zone management, environmental monitoring, resource developments, legal land jurisdictional issues, ocean and meteorological modeling, engineering, construction, planning, and many other uses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation","Geographic Information System (GIS)"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6999,"fairsharing_record_id":1210,"organisation_id":1756,"relation":"maintains","created_at":"2021-09-30T09:28:22.187Z","updated_at":"2021-09-30T09:28:22.187Z","grant_id":null,"is_lead":true,"saved_state":{"id":1756,"name":"Marine and Coastal Spatial Data (MCSD) Subcommittee, Federal Geographic Data Committee, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1211","type":"fairsharing_records","attributes":{"created_at":"2018-10-04T10:48:03.000Z","updated_at":"2024-03-06T11:52:30.403Z","metadata":{"doi":"10.25504/FAIRsharing.3b861d","name":"Data Package","status":"ready","contacts":[],"homepage":"http://frictionlessdata.io/specs/data-package/","citations":[],"identifier":1211,"description":"Data Package is a simple container format used to describe and package a collection of data. The format provides a simple contract for data interoperability that supports frictionless delivery, installation and management of data. A Data Package consists of metadata that describes the structure and contents of the package, and resources (such as data files) that form the contents of the package. The Data Package metadata is stored in a \"descriptor\". This descriptor is what makes a collection of data a Data Package. In addition to this descriptor a data package will include other resources such as data files. The Data Package specification does NOT impose any requirements on their form or structure and can therefore be used for packaging any kind of data.","abbreviation":"Data Package","support_links":[{"url":"https://discuss.okfn.org/c/frictionless-data","name":"Frictionless Data Forum","type":"Forum"},{"url":"http://frictionlessdata.io/data-packages/","name":"Data Packages Explained","type":"Help documentation"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/frictionlessdata/datapackage-js","name":"JavaScript library"},{"url":"https://github.com/frictionlessdata/datapackage-py","name":"Python library"}]},"legacy_ids":["bsg-001300","bsg-s001300"],"name":"FAIRsharing record for: Data Package","abbreviation":"Data Package","url":"https://fairsharing.org/10.25504/FAIRsharing.3b861d","doi":"10.25504/FAIRsharing.3b861d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Package is a simple container format used to describe and package a collection of data. The format provides a simple contract for data interoperability that supports frictionless delivery, installation and management of data. A Data Package consists of metadata that describes the structure and contents of the package, and resources (such as data files) that form the contents of the package. The Data Package metadata is stored in a \"descriptor\". This descriptor is what makes a collection of data a Data Package. In addition to this descriptor a data package will include other resources such as data files. The Data Package specification does NOT impose any requirements on their form or structure and can therefore be used for packaging any kind of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United Kingdom","Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1596,"relation":"undefined"}],"grants":[{"id":7000,"fairsharing_record_id":1211,"organisation_id":1063,"relation":"maintains","created_at":"2021-09-30T09:28:22.254Z","updated_at":"2021-09-30T09:28:22.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":1063,"name":"Frictionless Data, Open Knowledge International, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1212","type":"fairsharing_records","attributes":{"created_at":"2019-07-10T13:06:00.000Z","updated_at":"2022-12-27T17:28:12.524Z","metadata":{"doi":"10.25504/FAIRsharing.KfGESz","name":"Guideline for Minimum Information Stroke Research and Clinical Data Reporting","status":"ready","contacts":[{"contact_name":"Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"https://www.h3abionet.org/data-standards/datastds","citations":[{"doi":"https://doi.org/10.5334/dsj-2019-026","publication_id":2516}],"identifier":1212,"description":"The Guideline for Minimum Information Stroke Research and Clinical Data Reporting (GMISR) is a standardised reporting guideline for stroke research and clinical data reporting.","abbreviation":"GMISR","support_links":[{"url":"https://www.h3abionet.org/images/DataAndStandards/DataStandards/Recommendations_For_Use_Guideline.pdf","name":"Recommendations for Use","type":"Help documentation"}],"year_creation":2018,"associated_tools":[]},"legacy_ids":["bsg-001388","bsg-s001388"],"name":"FAIRsharing record for: Guideline for Minimum Information Stroke Research and Clinical Data Reporting","abbreviation":"GMISR","url":"https://fairsharing.org/10.25504/FAIRsharing.KfGESz","doi":"10.25504/FAIRsharing.KfGESz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Guideline for Minimum Information Stroke Research and Clinical Data Reporting (GMISR) is a standardised reporting guideline for stroke research and clinical data reporting.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12547}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Neurology","Preclinical Studies","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Ghana","Nigeria","South Africa","Tunisia"],"publications":[{"id":2516,"pubmed_id":null,"title":"Proposed Guideline for Minimum Information Stroke Research and Clinical Data Reporting.","year":2019,"url":"http://doi.org/https://doi.org/10.5334/dsj-2019-026","authors":"Kumuthini, J, Zass, L, Chaouch, M, Thompson, M, Olowoyo, P, Mbiyavanga, M, Moyinoluwalogo, F, Wells, G, Nembaware, V, Mulder, NJ, Owolabi, M and H3ABioNet Consortium’s Data and Standards Working Group as members of the H3Africa Consortium.","journal":"Data Science Journal","doi":"https://doi.org/10.5334/dsj-2019-026","created_at":"2021-09-30T08:27:08.713Z","updated_at":"2021-09-30T08:27:08.713Z"}],"licence_links":[],"grants":[{"id":7001,"fairsharing_record_id":1212,"organisation_id":1207,"relation":"maintains","created_at":"2021-09-30T09:28:22.292Z","updated_at":"2021-09-30T09:28:22.292Z","grant_id":null,"is_lead":true,"saved_state":{"id":1207,"name":"H3ABioNet","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7002,"fairsharing_record_id":1212,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:22.329Z","updated_at":"2021-09-30T09:31:13.584Z","grant_id":1073,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U41HG006941","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1213","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T15:28:22.000Z","updated_at":"2021-11-24T13:16:26.089Z","metadata":{"doi":"10.25504/FAIRsharing.8wgn56","name":"Plant names in botanical databases","status":"ready","homepage":"https://github.com/tdwg/prior-standards/tree/master/plant-names-in-botanical-databases","identifier":1213,"description":"This standard defines the taxonomic and nomenclatural concepts associated with the names of plants. It describes the component parts, their functions and their interrelations of significance in structuring a database. The appendices provide an outline of a preliminary data dictionary illustrating possible elements and their properties. It does not provide a data model or a data format. A data model will be considered at a later date by the TDWG Sub-group considering this standard. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":null,"support_links":[{"url":"https://github.com/tdwg/prior-standards/blob/master/plant-names-in-botanical-databases/113-528-1-RV.pdf","type":"Github"}],"year_creation":1995},"legacy_ids":["bsg-000631","bsg-s000631"],"name":"FAIRsharing record for: Plant names in botanical databases","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8wgn56","doi":"10.25504/FAIRsharing.8wgn56","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard defines the taxonomic and nomenclatural concepts associated with the names of plants. It describes the component parts, their functions and their interrelations of significance in structuring a database. The appendices provide an outline of a preliminary data dictionary illustrating possible elements and their properties. It does not provide a data model or a data format. A data model will be considered at a later date by the TDWG Sub-group considering this standard. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12283}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Life Science"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7003,"fairsharing_record_id":1213,"organisation_id":1612,"relation":"funds","created_at":"2021-09-30T09:28:22.368Z","updated_at":"2021-09-30T09:28:22.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":1612,"name":"JRS Biodiversity Foundation, Seattle, WA, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7004,"fairsharing_record_id":1213,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:28:22.399Z","updated_at":"2021-09-30T09:28:22.399Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7005,"fairsharing_record_id":1213,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:22.427Z","updated_at":"2021-09-30T09:28:22.427Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1214","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:14:20.738Z","metadata":{"doi":"10.25504/FAIRsharing.svzbnp","name":"DEscription Language for TAxonomy","status":"ready","contacts":[{"contact_name":"M. J. Dallwitz","contact_email":"dallwitz.m@gmail.com"}],"homepage":"http://www.tdwg.org/standards/107/","identifier":1214,"description":"When taxonomic descriptions are prepared for input to computer programs, the form of the coding is usually dictated by the requirements of a particular program or set of programs. This restricts the type of data that can be represented, and the number of other programs that can use the data. Even when working with a particular program, it is frequently necessary to set up different versions of the same basic data, for example, when using restricted sets of taxa or characters to make special-purpose keys. The potential advantages of automation, especially in connexion with large groups, cannot be realized if the data have to be restructured by hand for every operation. The DELTA (DEscription Language for TAxonomy) system was developed to overcome these problems. It was designed primarily for easy use by people rather than for convenience in computer programming, and is versatile enough to replace the written description as the primary means of recording data. Consequently, it can be used as a shorthand method of recording data, even if computer processing of the data is not envisaged.","abbreviation":"DELTA","support_links":[{"url":"http://delta-intkey.com/www/delta-l.htm","type":"Mailing list"},{"url":"http://delta-intkey.com/","type":"Help documentation"}],"year_creation":1980},"legacy_ids":["bsg-000200","bsg-s000200"],"name":"FAIRsharing record for: DEscription Language for TAxonomy","abbreviation":"DELTA","url":"https://fairsharing.org/10.25504/FAIRsharing.svzbnp","doi":"10.25504/FAIRsharing.svzbnp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: When taxonomic descriptions are prepared for input to computer programs, the form of the coding is usually dictated by the requirements of a particular program or set of programs. This restricts the type of data that can be represented, and the number of other programs that can use the data. Even when working with a particular program, it is frequently necessary to set up different versions of the same basic data, for example, when using restricted sets of taxa or characters to make special-purpose keys. The potential advantages of automation, especially in connexion with large groups, cannot be realized if the data have to be restructured by hand for every operation. The DELTA (DEscription Language for TAxonomy) system was developed to overcome these problems. It was designed primarily for easy use by people rather than for convenience in computer programming, and is versatile enough to replace the written description as the primary means of recording data. Consequently, it can be used as a shorthand method of recording data, even if computer processing of the data is not envisaged.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12267}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":7006,"fairsharing_record_id":1214,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:22.457Z","updated_at":"2021-09-30T09:28:22.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7009,"fairsharing_record_id":1214,"organisation_id":145,"relation":"funds","created_at":"2021-09-30T09:28:22.554Z","updated_at":"2021-09-30T09:28:22.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":145,"name":"Australian National Parks and Wildlife Service, Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7007,"fairsharing_record_id":1214,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:22.482Z","updated_at":"2021-09-30T09:28:22.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7008,"fairsharing_record_id":1214,"organisation_id":132,"relation":"undefined","created_at":"2021-09-30T09:28:22.511Z","updated_at":"2021-09-30T09:28:22.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":132,"name":"Atlas of Living Australia, Australia","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1215","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.847Z","metadata":{"doi":"10.25504/FAIRsharing.mad142","name":"Minimum Information about a Nutrigenomics experiment","status":"deprecated","contacts":[{"contact_name":"Philippe Rocca-Serra","contact_email":"philippe.rocca-serra@oerc.ox.ac.uk","contact_orcid":"0000-0001-9853-5668"}],"homepage":"http://mibbi.sourceforge.net/projects/MIAME-Nutr.shtml","identifier":1215,"description":"MIAME/Nutr was developed to extend MIAME for array-based nutrigenomics experiments.","abbreviation":"MIAME/Nutr","year_creation":2004,"deprecation_date":"2018-04-25","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000190","bsg-s000190"],"name":"FAIRsharing record for: Minimum Information about a Nutrigenomics experiment","abbreviation":"MIAME/Nutr","url":"https://fairsharing.org/10.25504/FAIRsharing.mad142","doi":"10.25504/FAIRsharing.mad142","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME/Nutr was developed to extend MIAME for array-based nutrigenomics experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11584},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11984}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Nutritional Science","Transcriptomics"],"domains":["Expression data","Deoxyribonucleic acid","Nutrient","Ribonucleic acid","Nucleic acid hybridization","DNA microarray","Genome"],"taxonomies":["All"],"user_defined_tags":["Cistrome"],"countries":["United Kingdom"],"publications":[{"id":850,"pubmed_id":16901222,"title":"A strategy capitalizing on synergies: the Reporting Structure for Biological Investigation (RSBI) working group.","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.164","authors":"Sansone SA,Rocca-Serra P,Tong W,Fostel J,Morrison N,Jones AR","journal":"OMICS","doi":"10.1089/omi.2006.10.164","created_at":"2021-09-30T08:23:53.822Z","updated_at":"2021-09-30T08:23:53.822Z"}],"licence_links":[],"grants":[{"id":9257,"fairsharing_record_id":1215,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.835Z","updated_at":"2022-04-11T12:07:25.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1217","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2021-11-24T13:14:28.479Z","metadata":{"doi":"10.25504/FAIRsharing.b82qvn","name":"Congenital Heart Defects Ontology","status":"ready","contacts":[{"contact_name":"Charalampos Moschopoulos","contact_email":"cmoschop@esat.kuleuven.be"}],"homepage":"https://bioportal.bioontology.org/ontologies/CHD/?p=summary","identifier":1217,"description":"Congenital Heart Defects Ontology (CHD) is a standard that represents the ontology of CHD.","abbreviation":"CHD","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHD","name":"CHD","portal":"BioPortal"}]},"legacy_ids":["bsg-000837","bsg-s000837"],"name":"FAIRsharing record for: Congenital Heart Defects Ontology","abbreviation":"CHD","url":"https://fairsharing.org/10.25504/FAIRsharing.b82qvn","doi":"10.25504/FAIRsharing.b82qvn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Congenital Heart Defects Ontology (CHD) is a standard that represents the ontology of CHD.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Annotation","Heart"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1218","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T13:05:44.000Z","updated_at":"2022-02-08T10:29:15.888Z","metadata":{"doi":"10.25504/FAIRsharing.b49fab","name":"UK GEo-spatial Metadata INteroperability iNItiative Metadata Standard","status":"ready","contacts":[{"contact_name":"UK GEMINI General Contact","contact_email":"gemini@agi.org.uk"}],"homepage":"https://www.agi.org.uk/agi-groups/standards-committee/uk-gemini","citations":[],"identifier":1218,"description":"The UK GEMINI standard specifies a set of metadata elements for describing geographic information resources. These resources may be datasets, dataset series, services delivering geographic data, or any other information resource with a geospatial content. This includes datasets that relate to a limited geographic area. The data resources may be graphical or textual (tabular or free text), hardcopy or digital. The metadata elements are intended for use in a metadata service for discovering what data resources exist. The aim of UK GEMINI is to provide a core set of metadata elements for use in a UK geospatial metadata service, that are compatible with the INSPIRE requirements for metadata. It does not preclude organisations recording additional metadata elements for their own internal business purposes. GEMINI 2.3, released in June 2018, does not include any changes related to the publication of ISO 19115-1:2014; GEMINI remains based on ISO 19115:2003.","abbreviation":"UK GEMINI","support_links":[{"url":"https://www.agi.org.uk/gemini/40-gemini/1053-common-metadata-errors-uk-location-discovery-metadata-service","name":"Common Metadata Errors","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1052-metadata-guidelines-for-geospatial-data-resources-part-1","name":"Metadata Guidelines for Geospatial Data Resources - Part 1","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1049-metadata-guidelines-for-geospatial-data-resources-part-2","name":"Metadata Guidelines for Geospatial Data Resources - Part 2","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1037-uk-gemini-standard-and-inspire-implementing-rules","name":"UK GEMINI v2.3 specification","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1056-glossary","name":"UK GEMINI Glossary","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1051-uk-gemini-v2-2-specification-for-discovery-metadata-for-geospatial-resources","name":"UK GEMINI v2.2 Specification","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1047-metadata-guidelines-for-geospatial-data-resources-part-3","name":"Metadata Guidelines for Geospatial Data Resources - Part 3","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001314","bsg-s001314"],"name":"FAIRsharing record for: UK GEo-spatial Metadata INteroperability iNItiative Metadata Standard","abbreviation":"UK GEMINI","url":"https://fairsharing.org/10.25504/FAIRsharing.b49fab","doi":"10.25504/FAIRsharing.b49fab","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK GEMINI standard specifies a set of metadata elements for describing geographic information resources. These resources may be datasets, dataset series, services delivering geographic data, or any other information resource with a geospatial content. This includes datasets that relate to a limited geographic area. The data resources may be graphical or textual (tabular or free text), hardcopy or digital. The metadata elements are intended for use in a metadata service for discovering what data resources exist. The aim of UK GEMINI is to provide a core set of metadata elements for use in a UK geospatial metadata service, that are compatible with the INSPIRE requirements for metadata. It does not preclude organisations recording additional metadata elements for their own internal business purposes. GEMINI 2.3, released in June 2018, does not include any changes related to the publication of ISO 19115-1:2014; GEMINI remains based on ISO 19115:2003.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Association for Geographic Information Terms and Conditions","licence_id":904,"licence_url":"https://www.agi.org.uk/website-terms-and-conditions/","link_id":2578,"relation":"applies_to_content"}],"grants":[{"id":7011,"fairsharing_record_id":1218,"organisation_id":324,"relation":"maintains","created_at":"2021-09-30T09:28:22.697Z","updated_at":"2021-09-30T09:28:22.697Z","grant_id":null,"is_lead":true,"saved_state":{"id":324,"name":"British Standards Institution (BSI) IST/36 Standards Committee, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1219","type":"fairsharing_records","attributes":{"created_at":"2018-05-22T11:13:28.000Z","updated_at":"2022-10-26T13:47:09.710Z","metadata":{"doi":"10.25504/FAIRsharing.N8KDKt","name":"Metabolomics Workbench Tabular File Format","status":"ready","contacts":[{"contact_name":"Shankar Subramaniam","contact_email":"shankar@ucsd.edu"}],"homepage":"http://www.metabolomicsworkbench.org/data/tutorials.php","citations":[],"identifier":1219,"description":"mwTab is a format developed by the Metabolomics Workbench to facilitate programmatic processing of data suitable for submission to the Workbench. It provides a structure for both metadata and experimentally measured data. The mwTab format consists of sequentially ordered blocks (sections) of text data. Some of the blocks consist of data represented by ‘single key to single value’ relationships that store single pieces of information. Other blocks consist of multiple ‘tab’-separated values via ‘single key to multiple values’ or ‘multiple keys to multiple values’ relationships that store multiple pieces of information in an organized manner analogous to a relational table.","abbreviation":"mwTab","support_links":[{"url":"webmaster@metabolomicsworkbench.org","name":"Website contact","type":"Support email"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/MoseleyBioinformaticsLab/mwtab","name":"mwtab Python Library"}]},"legacy_ids":["bsg-001215","bsg-s001215"],"name":"FAIRsharing record for: Metabolomics Workbench Tabular File Format","abbreviation":"mwTab","url":"https://fairsharing.org/10.25504/FAIRsharing.N8KDKt","doi":"10.25504/FAIRsharing.N8KDKt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mwTab is a format developed by the Metabolomics Workbench to facilitate programmatic processing of data suitable for submission to the Workbench. It provides a structure for both metadata and experimentally measured data. The mwTab format consists of sequentially ordered blocks (sections) of text data. Some of the blocks consist of data represented by ‘single key to single value’ relationships that store single pieces of information. Other blocks consist of multiple ‘tab’-separated values via ‘single key to multiple values’ or ‘multiple keys to multiple values’ relationships that store multiple pieces of information in an organized manner analogous to a relational table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Metabolomics"],"domains":["Workflow"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1225,"pubmed_id":26467476,"title":"Metabolomics Workbench: An international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1042","authors":"Sud M,Fahy E,Cotter D,Azam K,Vadivelu I,Burant C,Edison A,Fiehn O,Higashi R,Nair KS,Sumner S,Subramaniam S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1042","created_at":"2021-09-30T08:24:36.598Z","updated_at":"2021-09-30T11:29:03.392Z"},{"id":2899,"pubmed_id":29706851,"title":"A Python library for FAIRer access and deposition to the Metabolomics Workbench Data Repository.","year":2018,"url":"http://doi.org/10.1007/s11306-018-1356-6","authors":"Smelter A,Moseley HNB","journal":"Metabolomics","doi":"10.1007/s11306-018-1356-6","created_at":"2021-09-30T08:27:57.024Z","updated_at":"2021-09-30T08:27:57.024Z"}],"licence_links":[{"licence_name":"Metabolomics Workbench Attribution required","licence_id":505,"licence_url":"https://www.metabolomicsworkbench.org/about/howtocite.php","link_id":2214,"relation":"undefined"},{"licence_name":"Metabolomics Workbench Terms of Use","licence_id":506,"licence_url":"https://www.metabolomicsworkbench.org/about/termsofuse.php","link_id":2210,"relation":"undefined"}],"grants":[{"id":8255,"fairsharing_record_id":1219,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:31:45.935Z","updated_at":"2022-08-10T15:49:16.873Z","grant_id":1317,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"EC312941","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9789,"fairsharing_record_id":1219,"organisation_id":3656,"relation":"funds","created_at":"2022-08-10T16:16:35.766Z","updated_at":"2022-08-10T16:16:35.766Z","grant_id":1890,"is_lead":false,"saved_state":{"id":3656,"name":"Phenome and Metabolome aNalysis (PhenoMeNal) Large-Scale Computing for Medical Metabolomics","grant":"European Commission's Horizon 2020 Programme Project: PhenoMeNal: A comprehensive and standardised e-infrastructure for analysing medical metabolic phenotype data (Grant D: 654241).","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9791,"fairsharing_record_id":1219,"organisation_id":3658,"relation":"collaborates_on","created_at":"2022-08-10T16:16:35.842Z","updated_at":"2022-08-10T16:16:35.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":3658,"name":"The Metabolome Facility of Bordeaux Functional Genomics Centre (MFB)","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":7298,"fairsharing_record_id":1219,"organisation_id":917,"relation":"associated_with","created_at":"2021-09-30T09:28:33.015Z","updated_at":"2022-08-10T16:16:35.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"associated_with"}},{"id":10042,"fairsharing_record_id":1219,"organisation_id":2799,"relation":"collaborates_on","created_at":"2022-10-13T09:43:42.271Z","updated_at":"2022-10-13T09:43:42.271Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre, Canada","types":["Undefined"],"is_lead":false,"relation":"collaborates_on"}},{"id":10043,"fairsharing_record_id":1219,"organisation_id":1707,"relation":"collaborates_on","created_at":"2022-10-13T09:43:42.360Z","updated_at":"2022-10-13T09:43:42.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":1707,"name":"Leon Levy Foundation","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1179","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:03:39.512Z","metadata":{"doi":"10.25504/FAIRsharing.sxh2dp","name":"HUPO PSI Mass Spectrometry Controlled Vocabulary","status":"ready","contacts":[{"contact_email":"psidev-ms-vocab@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/groups/mass-spectrometry#controlled","citations":[{"doi":"10.1093/database/bat009","pubmed_id":23482073,"publication_id":976}],"identifier":1179,"description":"The PSI-MS Controlled Vocabulary is developed in common with the PSI-Proteomics Informatics group. It consists of a large collection of structured terms covering description and use of Mass Spectrometry instrumentation as well as Protein Identification and Quantitation software. The source of the terms are multiple: they include vocabulary and definitions in chapter 12 of the IUPAC nomenclature book, instrument and software vendors and developers and other user-submitted terms. Although its structure and use is linked to mzML, mzIdentML and mzQuantML, it is dynamically maintained in a OBO format. The PSI-Mass Spectrometry (MS) CV contains all the terms used in the PSI MS–related data standards. The CV contains a logical hierarchical structure to ensure ease of maintenance and the development of software that makes use of complex semantics. The CV contains terms required for a complete description of an MS analysis pipeline used in proteomics, including sample labeling, digestion enzymes, instrumentation parts and parameters, software used for identification and quantification of peptides/proteins and the parameters and scores used to determine their significance. Owing to the range of topics covered by the CV, collaborative development across several PSI working groups, including proteomics research groups, instrument manufacturers and software vendors, was necessary.","abbreviation":"PSI-MS CV","support_links":[{"url":"http://www.psidev.info/groups/controlled-vocabularies","type":"Help documentation"},{"url":"https://github.com/HUPO-PSI/psi-ms-CV","name":"GitHub Repository","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MS","name":"MS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ms.html","name":"ms","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000068","bsg-s000068"],"name":"FAIRsharing record for: HUPO PSI Mass Spectrometry Controlled Vocabulary","abbreviation":"PSI-MS CV","url":"https://fairsharing.org/10.25504/FAIRsharing.sxh2dp","doi":"10.25504/FAIRsharing.sxh2dp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PSI-MS Controlled Vocabulary is developed in common with the PSI-Proteomics Informatics group. It consists of a large collection of structured terms covering description and use of Mass Spectrometry instrumentation as well as Protein Identification and Quantitation software. The source of the terms are multiple: they include vocabulary and definitions in chapter 12 of the IUPAC nomenclature book, instrument and software vendors and developers and other user-submitted terms. Although its structure and use is linked to mzML, mzIdentML and mzQuantML, it is dynamically maintained in a OBO format. The PSI-Mass Spectrometry (MS) CV contains all the terms used in the PSI MS–related data standards. The CV contains a logical hierarchical structure to ensure ease of maintenance and the development of software that makes use of complex semantics. The CV contains terms required for a complete description of an MS analysis pipeline used in proteomics, including sample labeling, digestion enzymes, instrumentation parts and parameters, software used for identification and quantification of peptides/proteins and the parameters and scores used to determine their significance. Owing to the range of topics covered by the CV, collaborative development across several PSI working groups, including proteomics research groups, instrument manufacturers and software vendors, was necessary.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11020},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11142},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11264},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11425}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":976,"pubmed_id":23482073,"title":"The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary.","year":2013,"url":"http://doi.org/10.1093/database/bat009","authors":"Mayer G,Montecchi-Palazzi L,Ovelleiro D,Jones AR,Binz PA,Deutsch EW,Chambers M,Kallhardt M,Levander F,Shofstahl J,Orchard S,Vizcaino JA,Hermjakob H,Stephan C,Meyer HE,Eisenacher M","journal":"Database (Oxford)","doi":"10.1093/database/bat009","created_at":"2021-09-30T08:24:07.972Z","updated_at":"2021-09-30T08:24:07.972Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":158,"relation":"undefined"}],"grants":[{"id":6926,"fairsharing_record_id":1179,"organisation_id":2376,"relation":"funds","created_at":"2021-09-30T09:28:19.143Z","updated_at":"2021-09-30T09:28:19.143Z","grant_id":null,"is_lead":false,"saved_state":{"id":2376,"name":"Protein Unit for Research in Europe (PURE)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6932,"fairsharing_record_id":1179,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:28:19.388Z","updated_at":"2021-09-30T09:28:19.388Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6931,"fairsharing_record_id":1179,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:19.356Z","updated_at":"2021-09-30T09:31:45.067Z","grant_id":1310,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT085949MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8312,"fairsharing_record_id":1179,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:32:01.758Z","updated_at":"2021-09-30T09:32:01.806Z","grant_id":1435,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"P50 GM076547","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6927,"fairsharing_record_id":1179,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:19.186Z","updated_at":"2021-09-30T09:28:19.186Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6928,"fairsharing_record_id":1179,"organisation_id":1734,"relation":"funds","created_at":"2021-09-30T09:28:19.235Z","updated_at":"2021-09-30T09:28:19.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":1734,"name":"Luxembourg Centre for Systems Biomedicine (LCSB), Luxembourg, Luxembourg","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6925,"fairsharing_record_id":1179,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:19.106Z","updated_at":"2021-09-30T09:30:49.973Z","grant_id":892,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01 GM087221","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6930,"fairsharing_record_id":1179,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:19.319Z","updated_at":"2021-09-30T09:30:56.450Z","grant_id":944,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000909/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6929,"fairsharing_record_id":1179,"organisation_id":2378,"relation":"funds","created_at":"2021-09-30T09:28:19.277Z","updated_at":"2021-09-30T09:31:35.310Z","grant_id":1237,"is_lead":false,"saved_state":{"id":2378,"name":"ProteomeXchange","grant":"EU FP7 grant number 260558","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8292,"fairsharing_record_id":1179,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:56.141Z","updated_at":"2021-09-30T09:31:56.199Z","grant_id":1394,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/H024654/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1180","type":"fairsharing_records","attributes":{"created_at":"2021-05-26T13:29:20.000Z","updated_at":"2024-03-27T22:40:23.648Z","metadata":{"doi":"10.25504/FAIRsharing.cf62c2","name":"Data, Optimization, Model and Evaluation in Machine Learning","status":"ready","contacts":[{"contact_name":"Fotis E. Psomopoulos","contact_email":"fpsom@certh.gr"}],"homepage":"https://dome-ml.org/","citations":[{"doi":"10.1038/s41592-021-01205-4","pubmed_id":null,"publication_id":3287}],"identifier":1180,"description":"Data, Optimization, Model and Evaluation in Machine Learning (DOME-ML, or DOME) is a set of community-wide guidelines, recommendations and checklists spanning these four areas aiming to help establish standards of supervised machine learning validation in biology. The recommendations are formulated as questions to anyone wishing to pursue implementation of a machine learning algorithm. Answers to these questions can be included, for example, in the supplementary material of published papers.","abbreviation":"DOME-ML","support_links":[{"url":"https://github.com/MachineLearning-ELIXIR/dome-ml","name":"GitHub Project","type":"Github"},{"url":"https://github.com/MachineLearning-ELIXIR/dome-ml/tree/main/data","name":"Examples of Use","type":"Github"}],"year_creation":2021},"legacy_ids":["bsg-001610","bsg-s001610"],"name":"FAIRsharing record for: Data, Optimization, Model and Evaluation in Machine Learning","abbreviation":"DOME-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.cf62c2","doi":"10.25504/FAIRsharing.cf62c2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data, Optimization, Model and Evaluation in Machine Learning (DOME-ML, or DOME) is a set of community-wide guidelines, recommendations and checklists spanning these four areas aiming to help establish standards of supervised machine learning validation in biology. The recommendations are formulated as questions to anyone wishing to pursue implementation of a machine learning algorithm. Answers to these questions can be included, for example, in the supplementary material of published papers.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19498}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biology"],"domains":["Validation","Algorithm","Machine learning"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":3287,"pubmed_id":null,"title":"DOME: recommendations for supervised machine learning validation in biology","year":2021,"url":"http://dx.doi.org/10.1038/s41592-021-01205-4","authors":"Walsh, Ian; Fishman, Dmytro; Garcia-Gasulla, Dario; Titma, Tiina; Pollastri, Gianluca; Capriotti, Emidio; Casadio, Rita; Capella-Gutierrez, Salvador; Cirillo, Davide; Del Conte, Alessio; Dimopoulos, Alexandros C.; Del Angel, Victoria Dominguez; Dopazo, Joaquin; Fariselli, Piero; Fernández, José Maria; Huber, Florian; Kreshuk, Anna; Lenaerts, Tom; Martelli, Pier Luigi; Navarro, Arcadi; Broin, Pilib Ó; Piñero, Janet; Piovesan, Damiano; Reczko, Martin; Ronzano, Francesco; Satagopam, Venkata; Savojardo, Castrense; Spiwok, Vojtech; Tangaro, Marco Antonio; Tartari, Giacomo; Salgado, David; Valencia, Alfonso; Zambelli, Federico; Harrow, Jennifer; Psomopoulos, Fotis E.; Tosatto, Silvio C. E.; undefined, undefined; ","journal":"Nat Methods","doi":"10.1038/s41592-021-01205-4","created_at":"2022-03-31T08:53:04.402Z","updated_at":"2022-03-31T08:53:04.402Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1328,"relation":"undefined"}],"grants":[{"id":10006,"fairsharing_record_id":1180,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.584Z","updated_at":"2022-10-13T09:43:38.584Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":6933,"fairsharing_record_id":1180,"organisation_id":845,"relation":"maintains","created_at":"2021-09-30T09:28:19.469Z","updated_at":"2021-09-30T09:28:19.469Z","grant_id":null,"is_lead":true,"saved_state":{"id":845,"name":"ELIXIR Machine Learning Focus Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1181","type":"fairsharing_records","attributes":{"created_at":"2020-12-10T11:40:05.000Z","updated_at":"2022-07-20T12:06:04.503Z","metadata":{"doi":"10.25504/FAIRsharing.4e6af5","name":"UK Archival Thesaurus","status":"ready","contacts":[],"homepage":"https://ukat.aim25.com/","citations":[],"identifier":1181,"description":"UK Archival Thesaurus (UKAT) is a subject thesaurus created for the archive sector in the United Kingdom. It is a controlled vocabulary that archives can use when indexing their collections and catalogues. It is intended to improve access to archives by subject, ensure that users of archives can carry out effective subject searches of archives across the UK, and promote the involvement in archives by groups which are under-represented among archive users by providing subject terms which reflect their histories and experiences. UKAT is based on the structure of the UNESCO Thesaurus, and covers education, science, culture, social/human sciences, information, communication, politics, law and economics. UNESCO was used as the basis for UKAT because a number of archives and archive projects, including The Archives Hub, had adopted it for indexing purposes. However, UNESCO sometimes lacks the depth of detailed terminology required by UK archives. UKAT therefore incorporates terms that UK repositories and projects have contributed, or have been sourced from other schemes such as Library of Congress Subject Headings and the British Education Thesaurus. Particular emphasis has been given to incorporating terms reflecting the histories and experiences of groups that are under-represented among archive users. This aims to encourage participation in archival heritage, in line with national priorities for the sector.","abbreviation":"UKAT","support_links":[{"url":"https://ukat.aim25.com/contact-us/","name":"Contact Form","type":"Contact form"}],"year_creation":2003},"legacy_ids":["bsg-001556","bsg-s001556"],"name":"FAIRsharing record for: UK Archival Thesaurus","abbreviation":"UKAT","url":"https://fairsharing.org/10.25504/FAIRsharing.4e6af5","doi":"10.25504/FAIRsharing.4e6af5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UK Archival Thesaurus (UKAT) is a subject thesaurus created for the archive sector in the United Kingdom. It is a controlled vocabulary that archives can use when indexing their collections and catalogues. It is intended to improve access to archives by subject, ensure that users of archives can carry out effective subject searches of archives across the UK, and promote the involvement in archives by groups which are under-represented among archive users by providing subject terms which reflect their histories and experiences. UKAT is based on the structure of the UNESCO Thesaurus, and covers education, science, culture, social/human sciences, information, communication, politics, law and economics. UNESCO was used as the basis for UKAT because a number of archives and archive projects, including The Archives Hub, had adopted it for indexing purposes. However, UNESCO sometimes lacks the depth of detailed terminology required by UK archives. UKAT therefore incorporates terms that UK repositories and projects have contributed, or have been sourced from other schemes such as Library of Congress Subject Headings and the British Education Thesaurus. Particular emphasis has been given to incorporating terms reflecting the histories and experiences of groups that are under-represented among archive users. This aims to encourage participation in archival heritage, in line with national priorities for the sector.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Culture","Social Science","Education Science","Natural Science","Cultural Studies","Political Science","Communication Science"],"domains":["Resource collection"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6934,"fairsharing_record_id":1181,"organisation_id":1315,"relation":"maintains","created_at":"2021-09-30T09:28:19.510Z","updated_at":"2021-09-30T09:28:19.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":1315,"name":"IMAGIZ, London, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6935,"fairsharing_record_id":1181,"organisation_id":2047,"relation":"funds","created_at":"2021-09-30T09:28:19.551Z","updated_at":"2021-09-30T09:28:19.551Z","grant_id":null,"is_lead":false,"saved_state":{"id":2047,"name":"National Lottery Heritage Fund, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6936,"fairsharing_record_id":1181,"organisation_id":2807,"relation":"funds","created_at":"2021-09-30T09:28:19.590Z","updated_at":"2021-09-30T09:28:19.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":2807,"name":"The National Archives, Kew, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6937,"fairsharing_record_id":1181,"organisation_id":107,"relation":"maintains","created_at":"2021-09-30T09:28:19.627Z","updated_at":"2021-09-30T09:28:19.627Z","grant_id":null,"is_lead":true,"saved_state":{"id":107,"name":"Archives in London and the M25 (AIM25), London, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1206","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-29T08:54:25.570Z","metadata":{"doi":"10.25504/FAIRsharing.a55z32","name":"Minimal Information about a high throughput SEQuencing Experiment","status":"ready","contacts":[],"homepage":"https://doi.org/10.5281/zenodo.5706412","citations":[],"identifier":1206,"description":"MINSEQE describes the Minimum Information about a high-throughput nucleotide SEQuencing Experiment that is needed to enable the unambiguous interpretation and facilitate reproduction of the results of the experiment. By analogy to the MIAME guidelines for microarray experiments, adherence to the MINSEQE guidelines will improve integration of multiple experiments across different modalities, thereby maximising the value of high-throughput research. Metadata collection template includes critical information such as: 1) The description of the biological system, samples, and the experimental variables being studied, 2) The sequence read data for each assay, 3) The ‘final’ processed (or summary) data for the set of assays in the study, 4) General information about the experiment and sample-data relationships, and 5) Essential experimental and data processing protocols.\n\nNOTE: The provided resource documentation at Zenodo contains version 1.0 of the MINSEQE guidelines, which originated from discussions at the March 2008 Functional Genomics Data (FGED) Society-hosted workshop held in Berkeley, CA, USA. The FGED Society was operational from 1999-2021.","abbreviation":"MINSEQE","support_links":[{"url":"https://www.youtube.com/user/fgedsociety/","name":"FGED YouTube Channel","type":"Video"},{"url":"https://www.facebook.com/FGED.Society","name":"Facebook","type":"Facebook"},{"url":"http://mibbi.sourceforge.net/projects/MINSEQE.shtml","name":"Original MIBBI Page","type":"Help documentation"},{"url":"https://twitter.com/FGED","name":"@FGED","type":"Twitter"},{"url":"https://www.fged.org/projects/minseqe/","name":"FGED-MINSEQE Original Landing Page","type":"Other"},{"url":"https://www.ncbi.nlm.nih.gov/geo/info/MIAME.html","name":"MINSEQE Recommendations by GEO","type":"Other"}],"year_creation":2008},"legacy_ids":["bsg-000174","bsg-s000174"],"name":"FAIRsharing record for: Minimal Information about a high throughput SEQuencing Experiment","abbreviation":"MINSEQE","url":"https://fairsharing.org/10.25504/FAIRsharing.a55z32","doi":"10.25504/FAIRsharing.a55z32","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINSEQE describes the Minimum Information about a high-throughput nucleotide SEQuencing Experiment that is needed to enable the unambiguous interpretation and facilitate reproduction of the results of the experiment. By analogy to the MIAME guidelines for microarray experiments, adherence to the MINSEQE guidelines will improve integration of multiple experiments across different modalities, thereby maximising the value of high-throughput research. Metadata collection template includes critical information such as: 1) The description of the biological system, samples, and the experimental variables being studied, 2) The sequence read data for each assay, 3) The ‘final’ processed (or summary) data for the set of assays in the study, 4) General information about the experiment and sample-data relationships, and 5) Essential experimental and data processing protocols.\n\nNOTE: The provided resource documentation at Zenodo contains version 1.0 of the MINSEQE guidelines, which originated from discussions at the March 2008 Functional Genomics Data (FGED) Society-hosted workshop held in Berkeley, CA, USA. The FGED Society was operational from 1999-2021.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18269},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11146},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11570},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12411},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13902},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14560}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Functional Genomics","Epigenomics","Metagenomics","Genomics","Phylogenomics","Transcriptomics","Omics"],"domains":["Resource metadata","Experimental measurement","Biological sample annotation","Next generation DNA sequencing","DNA sequencing assay","Sequencing"],"taxonomies":["All"],"user_defined_tags":["Document metadata","Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":3559,"pubmed_id":null,"title":"MINSEQE: Minimum Information about a high-throughput Nucleotide SeQuencing Experiment - a proposal for standards in functional genomic data reporting","year":2012,"url":"https://doi.org/10.5281/zenodo.5706412","authors":"Brazma, Alvis; Ball, Catherine; Bumgarner, Roger; Furlanello, Cesare; Miller, Michael; Quackenbush, John; Reich, Michael; Rustici, Gabriella; Stoeckert, Chris; Trutane, Stephen Chervitz; Taylor, Ronald C; ","journal":"Zenodo","doi":"10.5281/zenodo.5706412","created_at":"2022-08-23T00:08:28.827Z","updated_at":"2022-08-23T00:08:28.827Z"},{"id":3563,"pubmed_id":null,"title":"Transcriptomics data availability and reusability in the transition from microarray to next-generation sequencing","year":2021,"url":"http://dx.doi.org/10.1101/2020.12.31.425022","authors":"Rustici, Gabriella; Williams, Eleanor; Barzine, Mitra; Brazma, Alvis; Bumgarner, Roger; Chierici, Marco; Furlanello, Cesare; Greger, Liliana; Jurman, Giuseppe; Miller, Michael; Ouellette, B.F. Francis; Quackenbush, John; Reich, Michael; Stoeckert, Christian J.; Taylor, Ronald C.; Trutane, Stephen Chervitz; Weller, Jennifer; Wilhelm, Brian; Winegarden, Neil; ","journal":"bioRxiv","doi":"10.1101/2020.12.31.425022","created_at":"2022-08-23T20:55:23.462Z","updated_at":"2022-08-23T20:55:23.462Z"},{"id":3564,"pubmed_id":null,"title":"A draft proposal for the required Minimum Information about a high- throughput Nucleotide SeQuencing Experiment – MINSEQE","year":2008,"url":"https://drive.google.com/file/d/1XjUoSHKMFQXHc01tr-IDAw0eNIQB7C-M/view","authors":"FGED Society Workshop","journal":"Online","doi":"","created_at":"2022-08-23T20:57:58.583Z","updated_at":"2022-08-23T20:57:58.583Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2504,"relation":"applies_to_content"}],"grants":[{"id":6994,"fairsharing_record_id":1206,"organisation_id":1073,"relation":"maintains","created_at":"2021-09-30T09:28:22.018Z","updated_at":"2021-09-30T09:28:22.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":1073,"name":"Functional Genomics Data Society (FGED); MINSEQE working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1207","type":"fairsharing_records","attributes":{"created_at":"2019-11-07T12:41:46.000Z","updated_at":"2022-07-20T09:59:40.896Z","metadata":{"doi":"10.25504/FAIRsharing.XykycZ","name":"Transcription Factor Class","status":"ready","contacts":[{"contact_name":"Edgar Wingender","contact_email":"edgar.wingender@bioinf.med.uni-goettingen.de"}],"homepage":"http://tfclass.bioinf.med.uni-goettingen.de/index.jsf","citations":[{"doi":"10.1093/nar/gkx987","pubmed_id":29087517,"publication_id":2619}],"identifier":1207,"description":"TFClass is a resource that classifies eukaryotic transcription factors (TFs) according to their DNA-binding domains. Combining information from different resources, manually checking the retrieved mammalian TF sequences and applying extensive phylogenetic analyses, \u003e39,000 TFs from up to 41 mammalian species were assigned to the Superclasses, Classes, Families and Subfamilies of TFClass. TFClass provides corresponding sequence collections in FASTA format; sequence logos and phylogenetic trees at different classification levels; predicted TF binding sites for human, mouse, dog and cow genomes; and links to several external databases.","abbreviation":"TFClass","year_creation":2012},"legacy_ids":["bsg-001401","bsg-s001401"],"name":"FAIRsharing record for: Transcription Factor Class","abbreviation":"TFClass","url":"https://fairsharing.org/10.25504/FAIRsharing.XykycZ","doi":"10.25504/FAIRsharing.XykycZ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TFClass is a resource that classifies eukaryotic transcription factors (TFs) according to their DNA-binding domains. Combining information from different resources, manually checking the retrieved mammalian TF sequences and applying extensive phylogenetic analyses, \u003e39,000 TFs from up to 41 mammalian species were assigned to the Superclasses, Classes, Families and Subfamilies of TFClass. TFClass provides corresponding sequence collections in FASTA format; sequence logos and phylogenetic trees at different classification levels; predicted TF binding sites for human, mouse, dog and cow genomes; and links to several external databases.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12543}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Phylogenetics","Transcriptomics"],"domains":["Expression data","Transcription factor binding site prediction","Binding","Transcription factor","Binding site"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2619,"pubmed_id":29087517,"title":"TFClass: expanding the classification of human transcription factors to their mammalian orthologs.","year":2017,"url":"http://doi.org/10.1093/nar/gkx987","authors":"Wingender E,Schoeps T,Haubrock M,Krull M,Donitz J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx987","created_at":"2021-09-30T08:27:21.542Z","updated_at":"2021-09-30T11:29:40.638Z"}],"licence_links":[],"grants":[{"id":6995,"fairsharing_record_id":1207,"organisation_id":1422,"relation":"maintains","created_at":"2021-09-30T09:28:22.049Z","updated_at":"2021-09-30T09:28:22.049Z","grant_id":null,"is_lead":true,"saved_state":{"id":1422,"name":"Institute of Medical Bioinformatics, University Medical Center Goettingen, Georg August University, Goettingen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1220","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-07T16:03:01.839Z","metadata":{"doi":"10.25504/FAIRsharing.fj07xj","name":"NCBI Taxonomy","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/taxonomy","citations":[{"doi":"10.1093/database/baaa062","pubmed_id":32761142,"publication_id":3045}],"identifier":1220,"description":"The NCBI Taxonomy is a database of taxonomic information. It does not follow a single taxonomic treatise but rather attempts to incorporate phylogenetic and taxonomic knowledge from a variety of sources, including the published literature, web-based databases, and the advice of sequence submitters and outside taxonomy experts.","abbreviation":"NCBITAXON","support_links":[{"url":"https://www.ncbi.nlm.nih.gov/Taxonomy/taxonomyhome.html/index.cgi?chapter=howlink","name":"Linking to the NCBI Taxonomy Database","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK53758/","name":"Entrez Taxonomy Quick Start","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK21100/","name":"NCBI Handbook: The Taxonomy Project","type":"Help documentation"},{"url":"https://github.com/obophenotype/ncbitaxon","name":"GitHub Repository (for NCBITaxon Ontology)","type":"Github"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCBITAXON","name":"NCBITAXON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ncbitaxon.html","name":"ncbitaxon","portal":"OBO Foundry"},{"url":"https://www.re3data.org/repository/r3d100010415","name":"re3data:r3d100010415","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003256","name":"SciCrunch:RRID:SCR_003256","portal":"SciCrunch"}]},"legacy_ids":["bsg-000154","bsg-s000154"],"name":"FAIRsharing record for: NCBI Taxonomy","abbreviation":"NCBITAXON","url":"https://fairsharing.org/10.25504/FAIRsharing.fj07xj","doi":"10.25504/FAIRsharing.fj07xj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCBI Taxonomy is a database of taxonomic information. It does not follow a single taxonomic treatise but rather attempts to incorporate phylogenetic and taxonomic knowledge from a variety of sources, including the published literature, web-based databases, and the advice of sequence submitters and outside taxonomy experts.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17575},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10873},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11815},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11964},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12206}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Phylogenetics","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":815,"pubmed_id":29140468,"title":"GenBank","year":2017,"url":"http://doi.org/10.1093/nar/gkx1094","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Ostell J,Pruitt K,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1094","created_at":"2021-09-30T08:23:49.901Z","updated_at":"2021-09-30T11:28:51.967Z"},{"id":2263,"pubmed_id":22139910,"title":"The NCBI Taxonomy database","year":2011,"url":"http://doi.org/10.1093/nar/gkr1178","authors":"Federhen S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1178","created_at":"2021-09-30T08:26:35.347Z","updated_at":"2021-09-30T11:29:32.104Z"},{"id":3045,"pubmed_id":32761142,"title":"NCBI Taxonomy: a comprehensive update on curation, resources and tools.","year":2020,"url":"http://doi.org/baaa062","authors":"Schoch CL,Ciufo S,Domrachev M,Hotton CL,Kannan S,Khovanskaya R,Leipe D,Mcveigh R,O'Neill K,Robbertse B,Sharma S,Soussov V,Sullivan JP,Sun L,Turner S,Karsch-Mizrachi I","journal":"Database (Oxford)","doi":"10.1093/database/baaa062","created_at":"2021-09-30T08:28:15.274Z","updated_at":"2021-09-30T08:28:15.274Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2071,"relation":"undefined"}],"grants":[{"id":7013,"fairsharing_record_id":1220,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:22.767Z","updated_at":"2021-09-30T09:28:22.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7015,"fairsharing_record_id":1220,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:22.846Z","updated_at":"2021-09-30T09:28:22.846Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7014,"fairsharing_record_id":1220,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:28:22.804Z","updated_at":"2021-09-30T09:28:22.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1222","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:01.521Z","metadata":{"doi":"10.25504/FAIRsharing.x964fb","name":"MicroArray Gene Expression Markup Language","status":"deprecated","contacts":[{"contact_name":"Ugis Sarkans","contact_email":"ugis@ebi.ac.uk","contact_orcid":"0000-0001-9227-8488"}],"homepage":"http://www.mged.org/Workgroups/MAGE/mage-ml.html","identifier":1222,"description":"This document is a standard that addresses the representation of gene expression data and relevant annotations, as well as mechanisms for exchanging these data. The field of gene expression experiments has several distinct technologies that a standard must include (e.g., single vs. dual channel experiments, cDNA vs. oligonucleotides). Because of these different technologies and different types of gene expression experiments, it is not expected that all aspects of the standard will be used by all organizations. With the acceptance of XML Metadata Interchange as an OMG standard it is possible to specify a normative UML model using a tool such as Rational Rose that describes the data structures for Gene Expression/","abbreviation":"MAGE-ML","support_links":[{"url":"http://www.mged.org/contact.html","type":"Contact form"},{"url":"http://sourceforge.net/p/mged/mailman/mged-mage/","type":"Mailing list"},{"url":"http://www.omg.org/technology/documents/formal/gene_expression.htm","type":"Help documentation"},{"url":"http://sourceforge.net/projects/mged/files/OMG%20Model/","type":"Help documentation"},{"url":"http://www.mged.org/Workgroups/MAGE/mage-ml.html","type":"Help documentation"}],"deprecation_date":"2016-02-16","deprecation_reason":"This is a deprecated format and major microarray databases such as ArrayExpress no longer encourage its use. Please see the FAIRsharing record for MAGE-TAB (https://FAIRsharing.org/bsg-000080) or ISA-TAB (https://FAIRsharing.org/bsg-000078) instead."},"legacy_ids":["bsg-000573","bsg-s000573"],"name":"FAIRsharing record for: MicroArray Gene Expression Markup Language","abbreviation":"MAGE-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.x964fb","doi":"10.25504/FAIRsharing.x964fb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document is a standard that addresses the representation of gene expression data and relevant annotations, as well as mechanisms for exchanging these data. The field of gene expression experiments has several distinct technologies that a standard must include (e.g., single vs. dual channel experiments, cDNA vs. oligonucleotides). Because of these different technologies and different types of gene expression experiments, it is not expected that all aspects of the standard will be used by all organizations. With the acceptance of XML Metadata Interchange as an OMG standard it is possible to specify a normative UML model using a tool such as Rational Rose that describes the data structures for Gene Expression/","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11175},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12055}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Transcriptomics","Comparative Genomics"],"domains":["Expression data","Ribonucleic acid","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":704,"pubmed_id":12225585,"title":"Design and implementation of microarray gene expression markup language (MAGE-ML).","year":2002,"url":"http://doi.org/10.1186/gb-2002-3-9-research0046","authors":"Spellman PT, Miller M, Stewart J, Troup C, Sarkans U, Chervitz S, Bernhart D, Sherlock G, Ball C, Lepage M, Swiatek M, Marks WL, Goncalves J, Markel S, Iordan D, Shojatalab M, Pizarro A, White J, Hubley R, Deutsch E, Senger M, Aronow BJ, Robinson A, Bassett D, Stoeckert CJ Jr, Brazma A.","journal":"Genome Biology","doi":"10.1186/gb-2002-3-9-research0046","created_at":"2021-09-30T08:23:37.596Z","updated_at":"2021-09-30T08:23:37.596Z"}],"licence_links":[],"grants":[{"id":7016,"fairsharing_record_id":1222,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:22.897Z","updated_at":"2021-09-30T09:28:22.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7017,"fairsharing_record_id":1222,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:28:22.934Z","updated_at":"2021-09-30T09:32:25.822Z","grant_id":1616,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","grant":"DE-FG02-00ER62893","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1226","type":"fairsharing_records","attributes":{"created_at":"2015-08-14T13:14:29.000Z","updated_at":"2022-07-20T10:09:06.401Z","metadata":{"doi":"10.25504/FAIRsharing.658tcg","name":"Observational Medical Outcomes Partnership Standardized Vocabularies","status":"ready","contacts":[{"contact_name":"Support Team","contact_email":"support@odysseusinc.com"}],"homepage":"https://www.ohdsi.org/web/wiki/doku.php?id=documentation:vocabulary:sidebar","identifier":1226,"description":"The OMOP Standardized Vocabularies combine a number of different vocabularies that are used for different aspects of recording healthcare information. These different purposes cause the vocabularies to come with different formats, quality, comprehensiveness and coverage, and life cycle. Even though the content of the vocabularies are left intact, the new format and structural elements will result in a different representation of each vocabulary than its native form.","abbreviation":"OMOP Standardized Vocabularies","support_links":[{"url":"https://www.ohdsi.org/data-standardization/","name":"Data Standardization at OHDSI","type":"Help documentation"},{"url":"https://github.com/OHDSI/OMOP-Standardized-Vocabularies","name":"Release Notes","type":"Github"}]},"legacy_ids":["bsg-000615","bsg-s000615"],"name":"FAIRsharing record for: Observational Medical Outcomes Partnership Standardized Vocabularies","abbreviation":"OMOP Standardized Vocabularies","url":"https://fairsharing.org/10.25504/FAIRsharing.658tcg","doi":"10.25504/FAIRsharing.658tcg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OMOP Standardized Vocabularies combine a number of different vocabularies that are used for different aspects of recording healthcare information. These different purposes cause the vocabularies to come with different formats, quality, comprehensiveness and coverage, and life cycle. Even though the content of the vocabularies are left intact, the new format and structural elements will result in a different representation of each vocabulary than its native form.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12218},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12479},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16962}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies","Health Science","Preclinical Studies"],"domains":["Data identity and mapping"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":807,"pubmed_id":null,"title":"A Systematic Statistical Approach to Evaluating Evidence from Observational Studies","year":2014,"url":"http://doi.org/10.1146/annurev-statistics-022513-115645","authors":"David Madigan, Paul E. Stang, Jesse A. Berlin, Martijn Schuemie, J. Marc Overhage, Marc A. Suchard, Bill Dumouchel, Abraham G. Hartzema, and Patrick B. Ryan","journal":"Annual Review of Statistics and Its Application","doi":"10.1146/annurev-statistics-022513-115645","created_at":"2021-09-30T08:23:49.004Z","updated_at":"2021-09-30T08:23:49.004Z"}],"licence_links":[],"grants":[{"id":7022,"fairsharing_record_id":1226,"organisation_id":2212,"relation":"maintains","created_at":"2021-09-30T09:28:23.119Z","updated_at":"2021-09-30T09:28:23.119Z","grant_id":null,"is_lead":true,"saved_state":{"id":2212,"name":"Observational Health Data Sciences and Informatics (OHDSI),","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1227","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:39.000Z","updated_at":"2024-03-21T13:59:04.067Z","metadata":{"doi":"10.25504/FAIRsharing.f67zb7","name":"LINCS Pilot Phase 1 Metadata Standards: RNAi Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":1227,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. RNA interference is a standard methodology to transiently knock down gene expression in living cells. This can be achieved using different types of small RNA molecules, including siRNA, shRNA, and miRNA. Information that is relevant to identify and describe these perturbations include probe ID, name, source/provider, target gene symbol and accession number, sequence of the probe, and modifications to the probe (e.g., chemical modification) if any are specified.","abbreviation":"LINCS 1: RNAi Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_siRNAshRNAReagents_Metadata_Release_Jul-31-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2017-03-28","deprecation_reason":"This standard was a pilot study for the LINCS 2 Nucleic Acid Reagents standard (https://biosharing.org/bsg-s000699) and as such has been superseded."},"legacy_ids":["bsg-000665","bsg-s000665"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: RNAi Reagents","abbreviation":"LINCS 1: RNAi Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.f67zb7","doi":"10.25504/FAIRsharing.f67zb7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. RNA interference is a standard methodology to transiently knock down gene expression in living cells. This can be achieved using different types of small RNA molecules, including siRNA, shRNA, and miRNA. Information that is relevant to identify and describe these perturbations include probe ID, name, source/provider, target gene symbol and accession number, sequence of the probe, and modifications to the probe (e.g., chemical modification) if any are specified.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11905}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7024,"fairsharing_record_id":1227,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:23.206Z","updated_at":"2021-09-30T09:28:23.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11576,"fairsharing_record_id":1227,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:04.035Z","updated_at":"2024-03-21T13:59:04.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1228","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.228Z","metadata":{"doi":"10.25504/FAIRsharing.22j4p7","name":"Plant Anatomy","status":"deprecated","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1108","identifier":1228,"description":"Plant Anatomy is a controlled vocabulary of plant morphological and anatomical structures representing organs, tissues, cell types, and their biological relationships based on spatial and developmental organization. This standard is now part of PO.","abbreviation":"PO_PAE","deprecation_date":"2015-12-23","deprecation_reason":"REPLACED BY: This standard has been subsumed into the Plant Ontology (PO) - http://www.plantontology.org - https://biosharing.org/bsg-000633."},"legacy_ids":["bsg-002581","bsg-s002581"],"name":"FAIRsharing record for: Plant Anatomy","abbreviation":"PO_PAE","url":"https://fairsharing.org/10.25504/FAIRsharing.22j4p7","doi":"10.25504/FAIRsharing.22j4p7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Plant Anatomy is a controlled vocabulary of plant morphological and anatomical structures representing organs, tissues, cell types, and their biological relationships based on spatial and developmental organization. This standard is now part of PO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7025,"fairsharing_record_id":1228,"organisation_id":2332,"relation":"maintains","created_at":"2021-09-30T09:28:23.242Z","updated_at":"2021-09-30T09:28:23.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":2332,"name":"Plant Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7026,"fairsharing_record_id":1228,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:28:23.280Z","updated_at":"2021-09-30T09:28:23.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1223","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:59:47.453Z","metadata":{"doi":"10.25504/FAIRsharing.ajdxzx","name":"CDISC Operational Data Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/odm","identifier":1223,"description":"ODM is a vendor-neutral, platform-independent format (based on XML) for exchanging and archiving clinical and translational research data, along with their associated metadata, administrative data, reference data, and audit information. ODM facilitates the regulatory-compliant acquisition, archival and exchange of metadata and data. It has become the language of choice for representing case report form content in many electronic data capture (EDC) tools. ​","abbreviation":"CDISC ODM","support_links":[{"url":"https://www.cdisc.org/education/course/odm-implementation","name":"ODM Implementation","type":"Training documentation"}]},"legacy_ids":["bsg-000117","bsg-s000117"],"name":"FAIRsharing record for: CDISC Operational Data Model","abbreviation":"CDISC ODM","url":"https://fairsharing.org/10.25504/FAIRsharing.ajdxzx","doi":"10.25504/FAIRsharing.ajdxzx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ODM is a vendor-neutral, platform-independent format (based on XML) for exchanging and archiving clinical and translational research data, along with their associated metadata, administrative data, reference data, and audit information. ODM facilitates the regulatory-compliant acquisition, archival and exchange of metadata and data. It has become the language of choice for representing case report form content in many electronic data capture (EDC) tools. ​","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17345},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11192},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11271},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11805},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11963},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12418},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16959}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Workflow"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":2529,"pubmed_id":26188274,"title":"Standardizing data exchange for clinical research protocols and case report forms: An assessment of the suitability of the Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model (ODM).","year":2015,"url":"http://doi.org/10.1016/j.jbi.2015.06.023","authors":"Huser V,Sastry C,Breymaier M,Idriss A,Cimino JJ","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2015.06.023","created_at":"2021-09-30T08:27:10.237Z","updated_at":"2021-09-30T08:27:10.237Z"}],"licence_links":[],"grants":[{"id":7020,"fairsharing_record_id":1223,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:23.046Z","updated_at":"2021-09-30T09:28:23.046Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7019,"fairsharing_record_id":1223,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:23.004Z","updated_at":"2021-09-30T09:28:23.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1224","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-01T11:56:32.428Z","metadata":{"doi":"10.25504/FAIRsharing.exmkp8","name":"Neuroscience Information Framework Subcellular Ontology","status":"deprecated","contacts":[{"contact_name":"Fahim Imam","contact_email":"smtifahim@gmail.com","contact_orcid":"0000-0003-4752-543X"}],"homepage":"https://neuinfo.org/about/nifvocabularies","citations":[],"identifier":1224,"description":"NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources. A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology that can be used to describe and retrieve neuroscience-relevant resources. NeuroLex is built from our core OWL ontology, NIFSTD, in a modular fashion, with separate modules covering major domains of neuroscience: anatomy, cell, subcellular (the standard described in this record), molecule, function and dysfunction.","abbreviation":"NIFSUBCELL","support_links":[{"url":"info@neuinfo.org","type":"Support email"},{"url":"https://twitter.com/neuinfo","type":"Twitter"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFSUBCELL","name":"NIFSUBCELL","portal":"BioPortal"}],"deprecation_date":"2022-12-01","deprecation_reason":"Incorporated in/superseded by the NIF Standard Ontology (https://fairsharing.org/FAIRsharing.vgw1m6)"},"legacy_ids":["bsg-002835","bsg-s002835"],"name":"FAIRsharing record for: Neuroscience Information Framework Subcellular Ontology","abbreviation":"NIFSUBCELL","url":"https://fairsharing.org/10.25504/FAIRsharing.exmkp8","doi":"10.25504/FAIRsharing.exmkp8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources. A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology that can be used to describe and retrieve neuroscience-relevant resources. NeuroLex is built from our core OWL ontology, NIFSTD, in a modular fashion, with separate modules covering major domains of neuroscience: anatomy, cell, subcellular (the standard described in this record), molecule, function and dysfunction.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NIF - SciCrunch Terms of use","licence_id":581,"licence_url":"https://neuinfo.org/page/terms","link_id":1609,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1225","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T18:39:10.000Z","updated_at":"2021-11-24T13:20:04.703Z","metadata":{"doi":"10.25504/FAIRsharing.c3b573","name":"RDF Data Cube Vocabulary","status":"ready","contacts":[{"contact_name":"Government Linked Data Working Group","contact_email":"public-gld-comments@w3.org"}],"homepage":"http://www.w3.org/TR/vocab-data-cube/","identifier":1225,"description":"The Data Cube vocabulary allows the publishing of multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging and sharing statistical data and metadata among organizations. The Data Cube vocabulary is a core foundation which supports extension vocabularies to enable publication of other aspects of statistical data flows or other multi-dimensional data sets.","abbreviation":null,"support_links":[{"url":"http://www.w3.org/2011/gld/","name":"Government Linked Data (GLD) Working Group (Now Closed)","type":"Help documentation"},{"url":"https://www.w3.org/2001/sw/wiki/Data_Cube_Errata","name":"Data Cube Errata","type":"Help documentation"}]},"legacy_ids":["bsg-001298","bsg-s001298"],"name":"FAIRsharing record for: RDF Data Cube Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.c3b573","doi":"10.25504/FAIRsharing.c3b573","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Cube vocabulary allows the publishing of multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging and sharing statistical data and metadata among organizations. The Data Cube vocabulary is a core foundation which supports extension vocabularies to enable publication of other aspects of statistical data flows or other multi-dimensional data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Statistics","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["Ireland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":422,"relation":"undefined"}],"grants":[{"id":7021,"fairsharing_record_id":1225,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:23.084Z","updated_at":"2021-09-30T09:28:23.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1205","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-13T09:44:33.058Z","metadata":{"doi":"10.25504/FAIRsharing.a6r7zs","name":"The bioscientific data analysis and management ontology","status":"ready","contacts":[{"contact_name":"EDAM Core Developers Mailing list","contact_email":"edam-core@elixir-dk.org"}],"homepage":"http://edamontology.org","citations":[{"doi":"10.1093/bioinformatics/btt113","pubmed_id":23479348,"publication_id":1837}],"identifier":1205,"description":"EDAM is a comprehensive ontology of well-established, familiar concepts that are prevalent within bioscientific data analysis and data management (including computational biology, bioinformatics, and bioimage informatics). EDAM includes topics, operations, types of data and data identifiers, and data formats, relevant in data analysis and data management in life sciences. EDAM provides a set of concepts with preferred terms and synonyms, related terms, definitions, and other information - organised into a simple and intuitive hierarchy for convenient use. EDAM is particularly suitable for semantic annotations and categorisation of diverse resources related to data analysis and management: e.g. tools, workflows, learning materials, or standards. EDAM is also useful in data management itself, for recording provenance metadata of processed bioscientific data.","abbreviation":"EDAM","support_links":[{"url":"https://github.com/edamontology/edamontology/issues","name":"EDAM Issue Tracker","type":"Github"},{"url":"https://gitter.im/edamontology/edamontology","name":"Gitter Community Chat","type":"Mailing list"},{"url":"http://elixirmail.cbs.dtu.dk/mailman/listinfo/edam-announce","name":"EDAM Announcements","type":"Mailing list"},{"url":"https://github.com/edamontology/edamontology","name":"GitHub Repository","type":"Github"},{"url":"https://twitter.com/edamontology","name":"@edamontology","type":"Twitter"},{"url":"https://edamontologydocs.readthedocs.io/en/latest/index.html","name":"Documentation","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"https://edamontology.github.io/edam-browser","name":"EDAM Browser"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDAM","name":"EDAM - Bioscientific data analysis ontology","portal":"BioPortal"},{"url":"http://www.ebi.ac.uk/ols/ontologies/edam","name":"Bioinformatics operations, data types, formats, identifiers and topics","portal":"OLS"}]},"legacy_ids":["bsg-000275","bsg-s000275"],"name":"FAIRsharing record for: The bioscientific data analysis and management ontology","abbreviation":"EDAM","url":"https://fairsharing.org/10.25504/FAIRsharing.a6r7zs","doi":"10.25504/FAIRsharing.a6r7zs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EDAM is a comprehensive ontology of well-established, familiar concepts that are prevalent within bioscientific data analysis and data management (including computational biology, bioinformatics, and bioimage informatics). EDAM includes topics, operations, types of data and data identifiers, and data formats, relevant in data analysis and data management in life sciences. EDAM provides a set of concepts with preferred terms and synonyms, related terms, definitions, and other information - organised into a simple and intuitive hierarchy for convenient use. EDAM is particularly suitable for semantic annotations and categorisation of diverse resources related to data analysis and management: e.g. tools, workflows, learning materials, or standards. EDAM is also useful in data management itself, for recording provenance metadata of processed bioscientific data.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12102}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Life Science","Subject Agnostic"],"domains":["Analysis","Data acquisition","Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Denmark","France","Norway","United Kingdom"],"publications":[{"id":1837,"pubmed_id":23479348,"title":"EDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formats.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt113","authors":"Ison J,Kalas M,Jonassen I,Bolser D,Uludag M,McWilliam H,Malone J,Lopez R,Pettifer S,Rice P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt113","created_at":"2021-09-30T08:25:46.280Z","updated_at":"2021-09-30T08:25:46.280Z"},{"id":3941,"pubmed_id":null,"title":"EDAM: the bioscientific data analysis ontology (update 2021)","year":2021,"url":"https://doi.org/10.7490/f1000research.1118900.1","authors":"Melissa Black, Lucie Lamothe, Hager Eldakroury, Mads Kierkegaard, Ankita Priya, Anne Machinda, Uttam Singh Khanduja, Drashti Patoliya, Rashika Rathi, Tawah Peggy Che Nico, Gloria Umutesi, Claudia Blankenburg, Anita Op, Precious Chieke, Omodolapo Babatunde, Steve Laurie, Steffen Neumann, Veit Schwämmle, Ivan Kuzmin, Chris Hunter, Jonathan Karr, Jon Ison, Alban Gaignard, Bryan Brancotte, Hervé Ménager, Matúš Kalaš","journal":"F1000 Research","doi":"10.7490/f1000research.1118900.1","created_at":"2023-07-11T18:36:14.699Z","updated_at":"2023-07-11T18:36:14.699Z"},{"id":3942,"pubmed_id":null,"title":"edamontology/edamontology: EDAM 1.25","year":2020,"url":"https://doi.org/10.5281/zenodo.822690","authors":"Jon Ison, Matúš Kalaš, Hervé Ménager, Egon Willighagen, Björn Grüning, \u0026 albangaignard","journal":"Zenodo","doi":"10.5281/zenodo.3899895","created_at":"2023-07-11T18:39:39.012Z","updated_at":"2023-07-11T18:39:39.012Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":457,"relation":"undefined"}],"grants":[{"id":6990,"fairsharing_record_id":1205,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:21.899Z","updated_at":"2021-09-30T09:30:32.748Z","grant_id":758,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G02264X/1 EMBOSS-BBR","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6991,"fairsharing_record_id":1205,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:28:21.925Z","updated_at":"2021-09-30T09:32:32.026Z","grant_id":1663,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LHSG-CT-2004-512092","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6989,"fairsharing_record_id":1205,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:28:21.872Z","updated_at":"2021-09-30T09:28:57.985Z","grant_id":34,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"178885/V30","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6992,"fairsharing_record_id":1205,"organisation_id":933,"relation":"funds","created_at":"2021-09-30T09:28:21.961Z","updated_at":"2021-09-30T09:29:29.154Z","grant_id":266,"is_lead":false,"saved_state":{"id":933,"name":"European FP7 EMBRACE project","grant":"FP7-INFRA-2007-211601","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6993,"fairsharing_record_id":1205,"organisation_id":932,"relation":"funds","created_at":"2021-09-30T09:28:21.990Z","updated_at":"2021-09-30T09:29:37.696Z","grant_id":332,"is_lead":false,"saved_state":{"id":932,"name":"European FP7 Capacities Specific Programme","grant":"284209","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1203","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T14:10:09.000Z","updated_at":"2024-04-18T09:22:33.484Z","metadata":{"doi":"10.25504/FAIRsharing.20sbr9","name":"Bioschemas Dataset Profile","status":"ready","contacts":[],"homepage":"https://bioschemas.org/profiles/Dataset/","citations":[],"identifier":1203,"description":"The Bioschemas Dataset Profile describes datasets in the life-sciences using Schema.org-like annotation. The Bioschemas project aims to improve data interoperability in life sciences the use of schema.org markup. This structured information then makes it easier to discover, collate and analyse distributed data. ","abbreviation":null,"support_links":[{"url":"http://lists.w3.org/Archives/Public/public-bioschemas/","name":"Bioschemas W3C mailing list","type":"Mailing list"},{"url":"https://github.com/Bioschemas/specifications","name":"Bioschemas examples on GitHub","type":"Github"},{"url":"https://bioschemas.org/liveDeploys/","name":"Bioschemas live deploys","type":"Help documentation"},{"url":"https://bioschemas.org/tutorials/","name":"Getting Started with Bioschemas","type":"Training documentation"},{"url":"https://twitter.com/bioschemas","name":"BioSchemas","type":"Twitter"},{"url":"https://join.slack.com/t/bioschemas/shared_invite/zt-58y30ewj-Ix2_s6nNLXrhHl51TtDXig","name":"Slack","type":"Forum"}],"year_creation":2019},"legacy_ids":["bsg-001127","bsg-s001127"],"name":"FAIRsharing record for: Bioschemas Dataset Profile","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.20sbr9","doi":"10.25504/FAIRsharing.20sbr9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bioschemas Dataset Profile describes datasets in the life-sciences using Schema.org-like annotation. The Bioschemas project aims to improve data interoperability in life sciences the use of schema.org markup. This structured information then makes it easier to discover, collate and analyse distributed data. ","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18262},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10858},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12945},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13334},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13336},{"linking_record_name":"Bioschemas Profiles","linking_record_id":4744,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16759}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Computer Science"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3567,"relation":"applies_to_content"}],"grants":[{"id":6984,"fairsharing_record_id":1203,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:21.695Z","updated_at":"2021-09-30T09:28:21.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11589,"fairsharing_record_id":1203,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:18.659Z","updated_at":"2024-03-21T13:59:18.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11634,"fairsharing_record_id":1203,"organisation_id":4326,"relation":"maintains","created_at":"2024-03-26T18:52:55.809Z","updated_at":"2024-03-26T18:52:55.809Z","grant_id":null,"is_lead":true,"saved_state":{"id":4326,"name":"Bioschemas Governance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaHNFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e817ea83097da01f51087faef031557818045a77/hexagon_color.png?disposition=inline","exhaustive_licences":true}},{"id":"1204","type":"fairsharing_records","attributes":{"created_at":"2018-10-05T18:46:47.000Z","updated_at":"2022-07-20T12:15:56.002Z","metadata":{"doi":"10.25504/FAIRsharing.d42cb9","name":"Qualitative Data Exchange Schema","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@data-archive.ac.uk"}],"homepage":"https://www.data-archive.ac.uk/managing-data/","citations":[],"identifier":1204,"description":"The Qualitative Data Exchange Schema (QuDEx) enables discovery, locating, retrieving and citing complex qualitative data collections in context. QuDEx provides a highly structured and consistently marked-up data and enables rich descriptive metadata for files e.g. interview characteristics, interview setting, type of object. The schema also provides logical links between data objects: text to related audio, images, and other research outputs and preserves references to annotations performed on data.","abbreviation":"QuDEx","support_links":[{"url":"https://www.data-archive.ac.uk/managing-data/standards-and-procedures/","name":"Standards and procedures","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/data-discovery/","name":"Data discovery","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/digital-curation-and-data-publishing/","name":"Digital curation and data publishing","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/information-governance/","name":"Information governance","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/data-preservation-and-trust/","name":"Data preservation and trust","type":"Help documentation"}],"year_creation":2007,"associated_tools":[{"url":"https://data-archive.ac.uk/media/3388/QuDEx_Viewer.zip","name":"QuDEx Viewer"}]},"legacy_ids":["bsg-001305","bsg-s001305"],"name":"FAIRsharing record for: Qualitative Data Exchange Schema","abbreviation":"QuDEx","url":"https://fairsharing.org/10.25504/FAIRsharing.d42cb9","doi":"10.25504/FAIRsharing.d42cb9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Qualitative Data Exchange Schema (QuDEx) enables discovery, locating, retrieving and citing complex qualitative data collections in context. QuDEx provides a highly structured and consistently marked-up data and enables rich descriptive metadata for files e.g. interview characteristics, interview setting, type of object. The schema also provides logical links between data objects: text to related audio, images, and other research outputs and preserves references to annotations performed on data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Resource metadata","Annotation","Multimedia"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6988,"fairsharing_record_id":1204,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:28:21.849Z","updated_at":"2021-09-30T09:28:21.849Z","grant_id":null,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6986,"fairsharing_record_id":1204,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:28:21.779Z","updated_at":"2021-09-30T09:28:21.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6987,"fairsharing_record_id":1204,"organisation_id":2895,"relation":"maintains","created_at":"2021-09-30T09:28:21.816Z","updated_at":"2021-09-30T09:28:21.816Z","grant_id":null,"is_lead":true,"saved_state":{"id":2895,"name":"UK Data Archive","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1305","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T13:06:45.000Z","updated_at":"2022-07-20T11:20:22.910Z","metadata":{"doi":"10.25504/FAIRsharing.7c683b","name":"Open Provenance Model","status":"ready","contacts":[{"contact_name":"Luc Moreau","contact_email":"l.moreau@ecs.soton.ac.uk"}],"homepage":"https://doi.org/10.1016/j.future.2010.07.005","citations":[{"publication_id":2741}],"identifier":1305,"description":"The Open Provenance Model (OPM) is a model of provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems, by means of a compatibility layer based on a shared provenance model. (2) To allow developers to build and share tools that operate on such a provenance model. (3) To define provenance in a precise, technology-agnostic manner. (4) To support a digital representation of provenance for any 'thing', whether produced by computer systems or not. (5) To allow multiple levels of description to coexist. (6) To define a core set of rules that identify the valid inferences that can be made on provenance representation.","abbreviation":"OPM","support_links":[{"url":"https://openprovenance.org/opm/","name":"OPM Project Page","type":"Help documentation"},{"url":"https://openprovenance.org/opm/tutorial/","name":"Tutorial","type":"Training documentation"}],"year_creation":2007},"legacy_ids":["bsg-001433","bsg-s001433"],"name":"FAIRsharing record for: Open Provenance Model","abbreviation":"OPM","url":"https://fairsharing.org/10.25504/FAIRsharing.7c683b","doi":"10.25504/FAIRsharing.7c683b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Provenance Model (OPM) is a model of provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems, by means of a compatibility layer based on a shared provenance model. (2) To allow developers to build and share tools that operate on such a provenance model. (3) To define provenance in a precise, technology-agnostic manner. (4) To support a digital representation of provenance for any 'thing', whether produced by computer systems or not. (5) To allow multiple levels of description to coexist. (6) To define a core set of rules that identify the valid inferences that can be made on provenance representation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom","United States"],"publications":[{"id":2741,"pubmed_id":null,"title":"The Open Provenance Model core specification (v1.1)","year":2011,"url":"https://doi.org/10.1016/j.future.2010.07.005","authors":"Moreau, Luc, Clifford, Ben, Freire, Juliana, Futrelle, Joe, Gil, Yolanda, Groth, Paul, Kwasnikowska, Natalia, Miles, Simon, Missier, Paolo, Myers, Jim, Plale, Beth, Simmhan, Yogesh, Stephan, Eric and Van den Bussche","journal":"Future Generation Computer Systems, 27 (6), 743-756","doi":null,"created_at":"2021-09-30T08:27:36.663Z","updated_at":"2021-09-30T08:27:36.663Z"}],"licence_links":[],"grants":[{"id":7171,"fairsharing_record_id":1305,"organisation_id":3144,"relation":"maintains","created_at":"2021-09-30T09:28:28.436Z","updated_at":"2021-09-30T09:28:28.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":3144,"name":"University of Utah, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7173,"fairsharing_record_id":1305,"organisation_id":3069,"relation":"maintains","created_at":"2021-09-30T09:28:28.506Z","updated_at":"2021-09-30T09:28:28.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":3069,"name":"University of Indiana, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7176,"fairsharing_record_id":1305,"organisation_id":3122,"relation":"maintains","created_at":"2021-09-30T09:28:28.657Z","updated_at":"2021-09-30T09:28:28.657Z","grant_id":null,"is_lead":true,"saved_state":{"id":3122,"name":"University of Southampton, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7170,"fairsharing_record_id":1305,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:28.394Z","updated_at":"2021-09-30T09:28:28.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7172,"fairsharing_record_id":1305,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:28:28.474Z","updated_at":"2021-09-30T09:28:28.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7174,"fairsharing_record_id":1305,"organisation_id":1638,"relation":"maintains","created_at":"2021-09-30T09:28:28.578Z","updated_at":"2021-09-30T09:28:28.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":1638,"name":"King's College London, London, United Kingdom","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7175,"fairsharing_record_id":1305,"organisation_id":2284,"relation":"maintains","created_at":"2021-09-30T09:28:28.619Z","updated_at":"2021-09-30T09:28:28.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":2284,"name":"Pacific Northwest National Laboratory, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1306","type":"fairsharing_records","attributes":{"created_at":"2019-12-20T00:29:01.000Z","updated_at":"2023-03-15T08:00:50.205Z","metadata":{"doi":"10.25504/FAIRsharing.aoSBun","name":"International Epidemiology Databases to Evaluate AIDS Data Exchange Standard","status":"ready","contacts":[{"contact_name":"IeDEA Data Harmonization Working Group","contact_email":"harmonist@vumc.org"}],"homepage":"https://redcap.vanderbilt.edu/plugins/iedea/des/","citations":[],"identifier":1306,"description":"The IeDEA Data Exchange Standard (IeDEA DES) is a patient-centric data model designed to support data harmonization and data exchange among HIV clinics participating in the International Epidemiology Databases to Evaluate AIDS (IeDEA, iedea.org). The variables and code lists have been developed to accommodate data originating in both resource-rich and resource-limited settings. The IeDEA DES was forked with permission from the Europe-centric HICDEP HIV data model in 2012.","abbreviation":"IeDEA DES","year_creation":2012},"legacy_ids":["bsg-001423","bsg-s001423"],"name":"FAIRsharing record for: International Epidemiology Databases to Evaluate AIDS Data Exchange Standard","abbreviation":"IeDEA DES","url":"https://fairsharing.org/10.25504/FAIRsharing.aoSBun","doi":"10.25504/FAIRsharing.aoSBun","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IeDEA Data Exchange Standard (IeDEA DES) is a patient-centric data model designed to support data harmonization and data exchange among HIV clinics participating in the International Epidemiology Databases to Evaluate AIDS (IeDEA, iedea.org). The variables and code lists have been developed to accommodate data originating in both resource-rich and resource-limited settings. The IeDEA DES was forked with permission from the Europe-centric HICDEP HIV data model in 2012.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Epidemiology"],"domains":["Electronic health record"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","Denmark","France","Kenya","South Africa","Switzerland","Thailand","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7177,"fairsharing_record_id":1306,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:28.690Z","updated_at":"2021-09-30T09:28:28.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7178,"fairsharing_record_id":1306,"organisation_id":1487,"relation":"maintains","created_at":"2021-09-30T09:28:28.713Z","updated_at":"2021-09-30T09:28:28.713Z","grant_id":null,"is_lead":false,"saved_state":{"id":1487,"name":"International Epidemiology Databases to Evaluate AIDS (IeDEA)","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1307","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:26:50.000Z","updated_at":"2022-07-20T11:25:04.130Z","metadata":{"doi":"10.25504/FAIRsharing.4fa657","name":"Potato Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_330:ROOT","citations":[],"identifier":1307,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_330","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001132","bsg-s001132"],"name":"FAIRsharing record for: Potato Ontology","abbreviation":"CO_330","url":"https://fairsharing.org/10.25504/FAIRsharing.4fa657","doi":"10.25504/FAIRsharing.4fa657","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Solanum tuberosum"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[{"id":2802,"pubmed_id":null,"title":"The Potato Ontology: Delimitation of the Domain, Modelling Concepts, and Prospects of Performance","year":2011,"url":"https://link.springer.com/article/10.1007/s11540-010-9184-8","authors":"A. J. Haverkort \u0026 J. L. Top","journal":"Potato Research volume 54, pages119–136(2011)","doi":null,"created_at":"2021-09-30T08:27:44.608Z","updated_at":"2021-09-30T08:27:44.608Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1120,"relation":"undefined"}],"grants":[{"id":7179,"fairsharing_record_id":1307,"organisation_id":489,"relation":"maintains","created_at":"2021-09-30T09:28:28.738Z","updated_at":"2021-09-30T09:28:28.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":489,"name":"CGIAR Research Program on Roots, Tubers and Bananas","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7180,"fairsharing_record_id":1307,"organisation_id":1510,"relation":"maintains","created_at":"2021-09-30T09:28:28.763Z","updated_at":"2021-09-30T09:28:28.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":1510,"name":"International Potato Center (CIP), Peru","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7181,"fairsharing_record_id":1307,"organisation_id":1490,"relation":"maintains","created_at":"2021-09-30T09:28:28.788Z","updated_at":"2021-09-30T09:28:28.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":1490,"name":"International Food Policy and Research Institute (IFPRI), Washington D.C., USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1308","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.389Z","metadata":{"doi":"10.25504/FAIRsharing.jvgfka","name":"Traditional Medicine Meridian Value Sets","status":"ready","contacts":[{"contact_name":"Meri Robinson Nicol","contact_email":"robinsonm@who.int"}],"homepage":"https://bioportal.bioontology.org/ontologies/TM-MER","identifier":1308,"description":"The meridian value set used in the International Classification of Traditional Medicine. The value set for the Signs and Symptoms property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-MER","support_links":[{"url":"tudorache@stanford.edu","name":"Tania Tudorache","type":"Support email"},{"url":"https://sites.google.com/site/whoictm/home","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-MER","name":"TM-MER","portal":"BioPortal"}]},"legacy_ids":["bsg-002706","bsg-s002706"],"name":"FAIRsharing record for: Traditional Medicine Meridian Value Sets","abbreviation":"TM-MER","url":"https://fairsharing.org/10.25504/FAIRsharing.jvgfka","doi":"10.25504/FAIRsharing.jvgfka","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The meridian value set used in the International Classification of Traditional Medicine. The value set for the Signs and Symptoms property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7182,"fairsharing_record_id":1308,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:28:28.822Z","updated_at":"2021-09-30T09:28:28.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1309","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-09-29T11:54:59.501Z","metadata":{"doi":"10.25504/FAIRsharing.ech3sa","name":"ISO 639-2: Codes for the Representation of Names of Languages Part 2: Alpha-3 Code","status":"ready","contacts":[{"contact_name":"Library of Congress Network Development and MARC Standards Office","contact_email":"iso639-2@loc.gov"}],"homepage":"https://www.iso.org/standard/4767.html","citations":[],"identifier":1309,"description":"ISO 639-2:1998 provides two sets of three-letter alphabetic codes for the representation of names of languages, one for terminology applications and the other for bibliographic applications. The code sets are the same except for twenty-five languages that have variant language codes because of the criteria used for formulating them. The language codes were devised originally for use by libraries, information services, and publishers to indicate language in the exchange of information, especially in computerized systems. ISO 639-2 represents all languages contained in ISO 639-1 and in addition any other language as well as language groups as they may be coded for special purposes when more specificity in coding is needed. The languages listed in ISO 639-1 are a subset of the languages listed in ISO 639-2; every language code in the two-letter code set has a corresponding language code in the alpha-3 list, but not necessarily vice versa.","abbreviation":"ISO639-2:1998","support_links":[{"url":"http://www.loc.gov/standards/iso639-2/faq.html","name":"ISO 639 FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.loc.gov/standards/iso639-2/","name":"General Information","type":"Help documentation"},{"url":"http://www.loc.gov/standards/iso639-2/develop.html","name":"Development Information","type":"Help documentation"},{"url":"http://www.loc.gov/standards/iso639-2/langhome.html","name":"Library of Congress ISO 639-3 Home","type":"Help documentation"}],"year_creation":1998,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ISO639-2","name":"ISO639-2","portal":"BioPortal"}]},"legacy_ids":["bsg-000792","bsg-s000792"],"name":"FAIRsharing record for: ISO 639-2: Codes for the Representation of Names of Languages Part 2: Alpha-3 Code","abbreviation":"ISO639-2:1998","url":"https://fairsharing.org/10.25504/FAIRsharing.ech3sa","doi":"10.25504/FAIRsharing.ech3sa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 639-2:1998 provides two sets of three-letter alphabetic codes for the representation of names of languages, one for terminology applications and the other for bibliographic applications. The code sets are the same except for twenty-five languages that have variant language codes because of the criteria used for formulating them. The language codes were devised originally for use by libraries, information services, and publishers to indicate language in the exchange of information, especially in computerized systems. ISO 639-2 represents all languages contained in ISO 639-1 and in addition any other language as well as language groups as they may be coded for special purposes when more specificity in coding is needed. The languages listed in ISO 639-1 are a subset of the languages listed in ISO 639-2; every language code in the two-letter code set has a corresponding language code in the alpha-3 list, but not necessarily vice versa.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Language"],"countries":["United States","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7183,"fairsharing_record_id":1309,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:28.847Z","updated_at":"2021-09-30T09:28:28.847Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":10929,"fairsharing_record_id":1309,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:21:11.049Z","updated_at":"2023-09-27T14:21:11.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1310","type":"fairsharing_records","attributes":{"created_at":"2019-12-30T11:23:34.000Z","updated_at":"2023-03-14T16:48:12.222Z","metadata":{"doi":"10.25504/FAIRsharing.jIiytY","name":"Open Data Certificate","status":"ready","contacts":[{"contact_name":"Vladimir Otasevic","contact_email":"vladimir.otasevic@rcub.bg.ac.rs"}],"homepage":"http://certificates.theodi.org/en/","citations":[],"identifier":1310,"description":"Open Data Certificate is a free online tool developed and maintained by the Open Data Institute, to assess and recognise the sustainable publication of quality open data. It assess the legal, practical, technical and social aspects of publishing open data using best practice guidance.","abbreviation":null},"legacy_ids":["bsg-001424","bsg-s001424"],"name":"FAIRsharing record for: Open Data Certificate","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jIiytY","doi":"10.25504/FAIRsharing.jIiytY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Data Certificate is a free online tool developed and maintained by the Open Data Institute, to assess and recognise the sustainable publication of quality open data. It assess the legal, practical, technical and social aspects of publishing open data using best practice guidance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Quality","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["certification"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7185,"fairsharing_record_id":1310,"organisation_id":2254,"relation":"maintains","created_at":"2021-09-30T09:28:28.896Z","updated_at":"2021-09-30T09:28:28.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":2254,"name":"Open Data Institute (ODI), London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":7184,"fairsharing_record_id":1310,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:28.872Z","updated_at":"2021-09-30T09:28:28.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1311","type":"fairsharing_records","attributes":{"created_at":"2020-02-04T12:09:53.000Z","updated_at":"2022-07-20T11:30:19.024Z","metadata":{"doi":"10.25504/FAIRsharing.94ca5a","name":"Ontology of Experimental Events","status":"ready","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr"}],"homepage":"https://github.com/OpenSILEX/ontology-vocabularies","identifier":1311,"description":"The Ontology of Experimental Events (OEEv) characterizes events that occur during an experiment; for example, moving of plants, dates of sowing, application of a given treatment, harvesting, measurements or sampling for ‐omic measurements, or any category of technical problem. The OEEv ontology contains four groups of events, namely Faciility Management, Scientific Object Management, Trouble and Displacement","abbreviation":"OEEV","support_links":[{"url":"llorenc.cabrera-bosquet@inra.fr","name":"Lloren Cabrera-Bosquet","type":"Support email"}],"year_creation":2018},"legacy_ids":["bsg-001447","bsg-s001447"],"name":"FAIRsharing record for: Ontology of Experimental Events","abbreviation":"OEEV","url":"https://fairsharing.org/10.25504/FAIRsharing.94ca5a","doi":"10.25504/FAIRsharing.94ca5a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Experimental Events (OEEv) characterizes events that occur during an experiment; for example, moving of plants, dates of sowing, application of a given treatment, harvesting, measurements or sampling for ‐omic measurements, or any category of technical problem. The OEEv ontology contains four groups of events, namely Faciility Management, Scientific Object Management, Trouble and Displacement","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Experimental measurement","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2747,"pubmed_id":30152011,"title":"Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System.","year":2018,"url":"http://doi.org/10.1111/nph.15385","authors":"Neveu P,Tireau A,Hilgert N,Negre V,Mineau-Cesari J,Brichet N,Chapuis R,Sanchez I,Pommier C,Charnomordic B,Tardieu F,Cabrera-Bosquet L","journal":"New Phytol","doi":"10.1111/nph.15385","created_at":"2021-09-30T08:27:37.605Z","updated_at":"2021-09-30T08:27:37.605Z"}],"licence_links":[{"licence_name":"Affero GNU GPL v3.0","licence_id":15,"licence_url":"https://www.gnu.org/licenses/agpl-3.0.en.html","link_id":665,"relation":"undefined"}],"grants":[{"id":7186,"fairsharing_record_id":1311,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:28.927Z","updated_at":"2021-09-30T09:28:28.927Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1312","type":"fairsharing_records","attributes":{"created_at":"2019-12-03T14:03:09.000Z","updated_at":"2022-07-20T11:48:50.938Z","metadata":{"doi":"10.25504/FAIRsharing.z87h0e","name":"Minimal Information for Studies of Extracellular Vesicles","status":"ready","contacts":[{"contact_name":"Kenneth Witwer","contact_email":"kwitwer1@jhmi.edu","contact_orcid":"0000-0003-1664-4233"}],"homepage":"https://www.isev.org/misev","citations":[{"doi":"10.1080/20013078.2018.1535750","pubmed_id":30637094,"publication_id":2644}],"identifier":1312,"description":"The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific extracellular vesicle (EV)-associated functional activities, as well as a checklist that summarizes key points. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles (“MISEV”) guidelines for the field in 2014, which have been updated again in 2018.","abbreviation":"MISEV","year_creation":2018},"legacy_ids":["bsg-001419","bsg-s001419"],"name":"FAIRsharing record for: Minimal Information for Studies of Extracellular Vesicles","abbreviation":"MISEV","url":"https://fairsharing.org/10.25504/FAIRsharing.z87h0e","doi":"10.25504/FAIRsharing.z87h0e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific extracellular vesicle (EV)-associated functional activities, as well as a checklist that summarizes key points. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles (“MISEV”) guidelines for the field in 2014, which have been updated again in 2018.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Cell Biology","Biology"],"domains":["Vesicle"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2644,"pubmed_id":30637094,"title":"Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines","year":2019,"url":"http://doi.org/10.1080/20013078.2018.1535750","authors":"Théry C, Witwer KW, Aikawa E, Alcaraz MJ, Anderson JD, Andriantsitohaina R, Antoniou A, Arab T, Archer F, Atkin-Smith GK, Ayre DC, Bach JM, Bachurski D, Baharvand H, Balaj L, Baldacchino S, Bauer NN, Baxter AA, Bebawy M, Beckham C, Bedina Zavec A, Benmoussa A, Berardi AC, Bergese P, Bielska E, Blenkiron C, Bobis-Wozowicz S, Boilard E, Boireau W, Bongiovanni A, Borràs FE, Bosch S, Boulanger CM, Breakefield X, Breglio AM, Brennan MÁ, Brigstock DR, Brisson A, Broekman ML, Bromberg JF, Bryl-Górecka P, Buch S, Buck AH, Burger D, Busatto S, Buschmann D, Bussolati B, Buzás EI, Byrd JB, Camussi G, Carter DR, Caruso S, Chamley LW, Chang YT, Chen C, Chen S, Cheng L, Chin AR, Clayton A, Clerici SP, Cocks A, Cocucci E, Coffey RJ, Cordeiro-da-Silva A, Couch Y, Coumans FA, Coyle B, Crescitelli R, Criado MF, D'Souza-Schorey C, Das S, Datta Chaudhuri A, de Candia P, De Santana EF, De Wever O, Del Portillo HA, Demaret T, Deville S, Devitt A, Dhondt B, Di Vizio D, Dieterich LC, Dolo V, Dominguez Rubio AP, Dominici M, Dourado MR, Driedonks TA, Duarte FV, Duncan HM, Eichenberger RM, Ekström K, El Andaloussi S, Elie-Caille C, Erdbrügger U, Falcón-Pérez JM, Fatima F, Fish JE, Flores-Bellver M, Försönits A, Frelet-Barrand A, Fricke F, Fuhrmann G, Gabrielsson S, Gámez-Valero A, Gardiner C, Gärtner K, Gaudin R, Gho YS, Giebel B, Gilbert C, Gimona M, Giusti I, Goberdhan DC, Görgens A, Gorski SM, Greening DW, Gross JC, Gualerzi A, Gupta GN, Gustafson D, Handberg A, Haraszti RA, Harrison P, Hegyesi H, Hendrix A, Hill AF, Hochberg FH, Hoffmann KF, Holder B, Holthofer H, Hosseinkhani B, Hu G, Huang Y, Huber V, Hunt S, Ibrahim AG, Ikezu T, Inal JM, Isin M, Ivanova A, Jackson HK, Jacobsen S, Jay SM, Jayachandran M, Jenster G, Jiang L, Johnson SM, Jones JC, Jong A, Jovanovic-Talisman T, Jung S, Kalluri R, Kano SI, Kaur S, Kawamura Y, Keller ET, Khamari D, Khomyakova E, Khvorova A, Kierulf P, Kim KP, Kislinger T, Klingeborn M, Klinke DJ 2nd, Kornek M, Kosanović MM, Kovács ÁF, Krämer-Albers EM, Krasemann S, Krause M, Kurochkin IV, Kusuma GD, Kuypers S, Laitinen S, Langevin SM, Languino LR, Lannigan J, Lässer C, Laurent LC, Lavieu G, Lázaro-Ibáñez E, Le Lay S, Lee MS, Lee YXF, Lemos DS, Lenassi M, Leszczynska A, Li IT, Liao K, Libregts SF, Ligeti E, Lim R, Lim SK, Linē A, Linnemannstöns K, Llorente A, Lombard CA, Lorenowicz MJ, Lörincz ÁM, Lötvall J, Lovett J, Lowry MC, Loyer X, Lu Q, Lukomska B, Lunavat TR, Maas SL, Malhi H, Marcilla A, Mariani J, Mariscal J, Martens-Uzunova ES, Martin-Jaular L, Martinez MC, Martins VR, Mathieu M, Mathivanan S, Maugeri M, McGinnis LK, McVey MJ, Meckes DG Jr, Meehan KL, Mertens I, Minciacchi VR, Möller A, Møller Jørgensen M, Morales-Kastresana A, Morhayim J, Mullier F, Muraca M, Musante L, Mussack V, Muth DC, Myburgh KH, Najrana T, Nawaz M, Nazarenko I, Nejsum P, Neri C, Neri T, Nieuwland R, Nimrichter L, Nolan JP, Nolte-'t Hoen EN, Noren Hooten N, O'Driscoll L, O'Grady T, O'Loghlen A, Ochiya T, Olivier M, Ortiz A, Ortiz LA, Osteikoetxea X, Østergaard O, Ostrowski M, Park J, Pegtel DM, Peinado H, Perut F, Pfaffl MW, Phinney DG, Pieters BC, Pink RC, Pisetsky DS, Pogge von Strandmann E, Polakovicova I, Poon IK, Powell BH, Prada I, Pulliam L, Quesenberry P, Radeghieri A, Raffai RL, Raimondo S, Rak J, Ramirez MI, Raposo G, Rayyan MS, Regev-Rudzki N, Ricklefs FL, Robbins PD, Roberts DD, Rodrigues SC, Rohde E, Rome S, Rouschop KM, Rughetti A, Russell AE, Saá P, Sahoo S, Salas-Huenuleo E, Sánchez C, Saugstad JA, Saul MJ, Schiffelers RM, Schneider R, Schøyen TH, Scott A, Shahaj E, Sharma S, Shatnyeva O, Shekari F, Shelke GV, Shetty AK, Shiba K, Siljander PR, Silva AM, Skowronek A, Snyder OL 2nd, Soares RP, Sódar BW, Soekmadji C, Sotillo J, Stahl PD, Stoorvogel W, Stott SL, Strasser EF, Swift S, Tahara H, Tewari M, Timms K, Tiwari S, Tixeira R, Tkach M, Toh WS, Tomasini R, Torrecilhas AC, Tosar JP, Toxavidis V, Urbanelli L, Vader P, van Balkom BW, van der Grein SG, Van Deun J, van Herwijnen MJ, Van Keuren-Jensen K, van Niel G, van Royen ME, van Wijnen AJ, Vasconcelos MH, Vechetti IJ Jr, Veit TD, Vella LJ, Velot É, Verweij FJ, Vestad B, Viñas JL, Visnovitz T, Vukman KV, Wahlgren J, Watson DC, Wauben MH, Weaver A, Webber JP, Weber V, Wehman AM, Weiss DJ, Welsh JA, Wendt S, Wheelock AM, Wiener Z, Witte L, Wolfram J, Xagorari A, Xander P, Xu J, Yan X, Yáñez-Mó M, Yin H, Yuana Y, Zappulli V, Zarubova J, Žėkas V, Zhang JY, Zhao Z, Zheng L, Zheutlin AR, Zickler AM, Zimmermann P, Zivkovic AM, Zocco D, Zuba-Surma EK","journal":"Journal of Extracellular Vesicles","doi":"10.1080/20013078.2018.1535750","created_at":"2021-09-30T08:27:24.673Z","updated_at":"2021-09-30T08:27:24.673Z"},{"id":3208,"pubmed_id":null,"title":"Updating the MISEV minimal requirements for extracellular vesicle studies: building bridges to reproducibility","year":2017,"url":"http://dx.doi.org/10.1080/20013078.2017.1396823","authors":"Witwer, Kenneth W.; Soekmadji, Carolina; Hill, Andrew F.; Wauben, Marca H.; Buzás, Edit I.; Di Vizio, Dolores; Falcon‐Perez, Juan M.; Gardiner, Chris; Hochberg, Fred; Kurochkin, Igor V.; Lötvall, Jan; Mathivanan, Suresh; Nieuwland, Rienk; Sahoo, Susmita; Tahara, Hidetoshi; Torrecilhas, Ana Claudia; Weaver, Alissa M.; Yin, Hang; Zheng, Lei; Gho, Yong Song; Quesenberry, Peter; Théry, Clotilde; ","journal":"Journal of Extracellular Vesicles","doi":"10.1080/20013078.2017.1396823","created_at":"2022-02-01T16:10:52.801Z","updated_at":"2022-02-01T16:10:52.801Z"}],"licence_links":[],"grants":[{"id":7187,"fairsharing_record_id":1312,"organisation_id":1518,"relation":"maintains","created_at":"2021-09-30T09:28:28.970Z","updated_at":"2021-09-30T09:28:28.970Z","grant_id":null,"is_lead":true,"saved_state":{"id":1518,"name":"International Society for Extracellular Vesicles","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBHQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--70a3a791c2c96c3720062a3ac59c17317a3001e8/MISEV.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1313","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:04:03.000Z","updated_at":"2022-12-13T09:38:42.680Z","metadata":{"doi":"10.25504/FAIRsharing.bQSMT2","name":"IVOA Photometry Data Model","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/PHOTDM/index.html","citations":[{"publication_id":2942}],"identifier":1313,"description":"The Photometry Data Model (PhotDM) standard describes photometry filters, photometric systems, magnitude systems, zero points and its interrelation with the other IVOA data models through a simple data model. Particular attention is given necessarily to optical photometry where specifications of magnitude systems and photometric zero points are required to convert photometric measurements into physical flux density units.","abbreviation":"PhotDM","year_creation":2013},"legacy_ids":["bsg-001167","bsg-s001167"],"name":"FAIRsharing record for: IVOA Photometry Data Model","abbreviation":"PhotDM","url":"https://fairsharing.org/10.25504/FAIRsharing.bQSMT2","doi":"10.25504/FAIRsharing.bQSMT2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Photometry Data Model (PhotDM) standard describes photometry filters, photometric systems, magnitude systems, zero points and its interrelation with the other IVOA data models through a simple data model. Particular attention is given necessarily to optical photometry where specifications of magnitude systems and photometric zero points are required to convert photometric measurements into physical flux density units.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11469}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2942,"pubmed_id":null,"title":"IVOA Photometry Data Model Version 1.0","year":2013,"url":"http://dx.doi.org/10.5479/ADS/bib/2013ivoa.spec.1005S","authors":"Salgado, Jesus; Osuna, Pedro; Rodrigo, Carlos; Allen, Mark; Louys, Mireille; McDowell, Jonathan; Baines, Deborah; Maiz Apellaniz, Jesus; Hatziminaoglou, Evanthia; Derriere, Sebastien; Lemson, Gerard","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.580Z","updated_at":"2021-09-30T08:28:02.580Z"}],"licence_links":[],"grants":[{"id":7188,"fairsharing_record_id":1313,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:29.011Z","updated_at":"2021-09-30T09:28:29.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7189,"fairsharing_record_id":1313,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:29.049Z","updated_at":"2021-09-30T09:28:29.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1323","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2023-10-19T08:40:53.825Z","metadata":{"doi":"10.25504/FAIRsharing.119q9t","name":"The UMLS Semantic Network","status":"ready","contacts":[{"contact_name":"Olivier Bodenreider","contact_email":"olivier@nlm.nih.gov","contact_orcid":"0000-0003-4769-4217"}],"homepage":"https://lhncbc.nlm.nih.gov/semanticnetwork/","citations":[{"doi":"10.1002/cfg.255","pubmed_id":18629109,"publication_id":1331}],"identifier":1323,"description":"The UMLS Semantic Network is one of three UMLS Knowledge Sources developed as part of the Unified Medical Language System project. The network provides a consistent categorization of all concepts represented in the UMLS Metathesaurus. The Semantic Network consists of (1) a set of broad subject categories, or Semantic Types, that provide a consistent categorization of all concepts represented in the UMLS Metathesaurus, and (2) a set of useful and important relationships, or Semantic Relations, that exist between Semantic Types. The Network provides information about the set of basic semantic types, or categories, which may be assigned to these concepts, and it defines the set of relationships that may hold between the semantic types. The Semantic Network contains 127 semantic types and 54 relationships. The Semantic Network serves as an authority for the semantic types that are assigned to concepts in the Metathesaurus. The Network defines these types, both with textual descriptions and by means of the information inherent in its hierarchies.","abbreviation":null,"support_links":[{"url":"https://www.nlm.nih.gov/research/umls/META3_current_semantic_types.html","name":"Current Semantic Types","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK9679/","name":"UMLS Semantic Network Manual","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/research/umls/META3_current_relations.html","name":"Current Relations in the UMLS Semantic Network","type":"Help documentation"},{"url":"https://wayback.archive-it.org/org-350/20180312141727/https://www.nlm.nih.gov/pubs/factsheets/umlssemn.html","name":"UMLS Semantic Network Factsheet","type":"Help documentation"}],"year_creation":1990,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/STY","name":"STY","portal":"BioPortal"}]},"legacy_ids":["bsg-000941","bsg-s000941"],"name":"FAIRsharing record for: The UMLS Semantic Network","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.119q9t","doi":"10.25504/FAIRsharing.119q9t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UMLS Semantic Network is one of three UMLS Knowledge Sources developed as part of the Unified Medical Language System project. The network provides a consistent categorization of all concepts represented in the UMLS Metathesaurus. The Semantic Network consists of (1) a set of broad subject categories, or Semantic Types, that provide a consistent categorization of all concepts represented in the UMLS Metathesaurus, and (2) a set of useful and important relationships, or Semantic Relations, that exist between Semantic Types. The Network provides information about the set of basic semantic types, or categories, which may be assigned to these concepts, and it defines the set of relationships that may hold between the semantic types. The Semantic Network contains 127 semantic types and 54 relationships. The Semantic Network serves as an authority for the semantic types that are assigned to concepts in the Metathesaurus. The Network defines these types, both with textual descriptions and by means of the information inherent in its hierarchies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17335},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17690},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12114},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12233},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16972}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Integration","Biomedical Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1331,"pubmed_id":18629109,"title":"An upper-level ontology for the biomedical domain.","year":2008,"url":"http://doi.org/10.1002/cfg.255","authors":"McCray AT","journal":"Comp Funct Genomics","doi":"10.1002/cfg.255","created_at":"2021-09-30T08:24:48.976Z","updated_at":"2021-09-30T08:24:48.976Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Switzerland (CC BY-NC-ND 2.5 CH)","licence_id":176,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/ch/","link_id":1741,"relation":"undefined"},{"licence_name":"UMLS Semantic Network Terms and Conditions","licence_id":812,"licence_url":"https://semanticnetwork.nlm.nih.gov/TermsAndConditions.html","link_id":1742,"relation":"undefined"}],"grants":[{"id":7213,"fairsharing_record_id":1323,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:29.933Z","updated_at":"2021-09-30T09:28:29.933Z","grant_id":null,"is_lead":true,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1324","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:19.962Z","metadata":{"doi":"10.25504/FAIRsharing.446bv0","name":"Ontology of Experimental Variables and Values","status":"ready","contacts":[{"contact_name":"Gully Burn","contact_email":"gully@usc.edu","contact_orcid":"0000-0003-1493-865X"}],"homepage":"https://bioportal.bioontology.org/ontologies/OOEVV","identifier":1324,"description":"The Ontology of Experimental Variables and Values (OoEVV) provides a lightweight representation of (a) the variables used to measure experimental properties and (b) the measurement scales that form the complex data types supporting that data. Many different variables measure the same thing, here we use a lightweight representation driven by a small number of classes and a large number of variables to focus only on providing a vocabulary of variables that may be extended for consolidation to standardized variables for specific things and functions to map between values from different measurements scales. We use the base ontology description to provide a very lightweight representation of the basic elements of an experimental design and we use views to instantiate it for specific domains.","abbreviation":"OoEVV","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OOEVV","name":"OOEVV","portal":"BioPortal"}]},"legacy_ids":["bsg-002782","bsg-s002782"],"name":"FAIRsharing record for: Ontology of Experimental Variables and Values","abbreviation":"OoEVV","url":"https://fairsharing.org/10.25504/FAIRsharing.446bv0","doi":"10.25504/FAIRsharing.446bv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Experimental Variables and Values (OoEVV) provides a lightweight representation of (a) the variables used to measure experimental properties and (b) the measurement scales that form the complex data types supporting that data. Many different variables measure the same thing, here we use a lightweight representation driven by a small number of classes and a large number of variables to focus only on providing a vocabulary of variables that may be extended for consolidation to standardized variables for specific things and functions to map between values from different measurements scales. We use the base ontology description to provide a very lightweight representation of the basic elements of an experimental design and we use views to instantiate it for specific domains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science","Life Science"],"domains":["Resource metadata","Experimental measurement","Protocol","Independent variable","Study design","Experimentally determined","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[{"id":580,"pubmed_id":null,"title":"Using the Ontology of Experimental Variables and Values (OoEVV) to model human neuroimaging experiments","year":2013,"url":"https://www.frontiersin.org/10.3389/conf.fninf.2013.09.00101/event_abstract","authors":"Jessica A. Turner and Gully A. Burns","journal":"Front. Neuroinform. Conference Abstract: Neuroinformatics","doi":null,"created_at":"2021-09-30T08:23:23.460Z","updated_at":"2021-09-30T08:23:23.460Z"},{"id":1781,"pubmed_id":23684873,"title":"Modeling functional Magnetic Resonance Imaging (fMRI) experimental variables in the Ontology of Experimental Variables and Values (OoEVV).","year":2013,"url":"http://doi.org/10.1016/j.neuroimage.2013.05.024","authors":"Burns GA,Turner JA","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2013.05.024","created_at":"2021-09-30T08:25:39.895Z","updated_at":"2021-09-30T08:25:39.895Z"}],"licence_links":[],"grants":[{"id":7216,"fairsharing_record_id":1324,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:30.015Z","updated_at":"2021-09-30T09:28:30.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7214,"fairsharing_record_id":1324,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:28:29.966Z","updated_at":"2021-09-30T09:28:29.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7215,"fairsharing_record_id":1324,"organisation_id":2251,"relation":"maintains","created_at":"2021-09-30T09:28:29.989Z","updated_at":"2021-09-30T09:28:29.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":2251,"name":"OoEVV Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7217,"fairsharing_record_id":1324,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:30.044Z","updated_at":"2021-09-30T09:28:30.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1325","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T14:04:36.000Z","updated_at":"2022-12-13T10:24:32.021Z","metadata":{"doi":"10.25504/FAIRsharing.y0fDAA","name":"Data Access Layer Interface","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/DALI/index.html","citations":[{"publication_id":2933}],"identifier":1325,"description":"The Data Access Layer Interface (DALI) standard defines the base web service interface common to all Data Access Layer (DAL) services. This standard defines the behaviour of common resources, the meaning and use of common parameters, success and error responses, and DAL service registration. The goal of this specification is to define the common elements that are shared across DAL services in order to foster consistency across concrete DAL service specifications and to enable standard re-usable client and service implementations and libraries to be written and widely adopted.","abbreviation":"DALI","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/DALI-1_0-Next","name":"DALI 1.0 Specification Issues","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/DALI","name":"Archived Discussions on DALI Standard Development","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001148","bsg-s001148"],"name":"FAIRsharing record for: Data Access Layer Interface","abbreviation":"DALI","url":"https://fairsharing.org/10.25504/FAIRsharing.y0fDAA","doi":"10.25504/FAIRsharing.y0fDAA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Access Layer Interface (DALI) standard defines the base web service interface common to all Data Access Layer (DAL) services. This standard defines the behaviour of common resources, the meaning and use of common parameters, success and error responses, and DAL service registration. The goal of this specification is to define the common elements that are shared across DAL services in order to foster consistency across concrete DAL service specifications and to enable standard re-usable client and service implementations and libraries to be written and widely adopted.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11471}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2933,"pubmed_id":null,"title":"Data Access Layer Interface Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0517D","authors":"Dowler, Patrick; Demleitner, Markus; Taylor, Mark; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.392Z","updated_at":"2021-09-30T08:28:01.392Z"}],"licence_links":[],"grants":[{"id":7219,"fairsharing_record_id":1325,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:30.125Z","updated_at":"2021-09-30T09:28:30.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7218,"fairsharing_record_id":1325,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:30.087Z","updated_at":"2021-09-30T09:28:30.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1326","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:48:42.866Z","metadata":{"doi":"10.25504/FAIRsharing.6641pb","name":"Ontology for Food Processing Experiment","status":"uncertain","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr"}],"homepage":"http://agroportal.lirmm.fr/ontologies/OFPE","identifier":1326,"description":"OFPE is a generic ontology specialized for food processing experiments, where raw materials are transformed into final products. It includes different classes that represent products and activities during food transformation processes, which can be classified into four main concepts: Product, Operation, Attribute, and Observation. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","abbreviation":"OFPE","year_creation":2016},"legacy_ids":["bsg-001119","bsg-s001119"],"name":"FAIRsharing record for: Ontology for Food Processing Experiment","abbreviation":"OFPE","url":"https://fairsharing.org/10.25504/FAIRsharing.6641pb","doi":"10.25504/FAIRsharing.6641pb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OFPE is a generic ontology specialized for food processing experiments, where raw materials are transformed into final products. It includes different classes that represent products and activities during food transformation processes, which can be classified into four main concepts: Product, Operation, Attribute, and Observation. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Life Science","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1755,"relation":"undefined"}],"grants":[{"id":7220,"fairsharing_record_id":1326,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:30.162Z","updated_at":"2021-09-30T09:28:30.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1327","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T11:31:54.000Z","updated_at":"2022-02-08T10:28:49.757Z","metadata":{"doi":"10.25504/FAIRsharing.880e6c","name":"W3C Provenance Notation","status":"ready","contacts":[{"contact_name":"Provenance Working Group","contact_email":"team-prov-chairs@w3.org"}],"homepage":"http://www.w3.org/TR/prov-n/","identifier":1327,"description":"PROV-N is aimed at human consumption and allows serializations of PROV instances to be created in a compact manner. PROV-N facilitates the mapping of the PROV data model to concrete syntax, and is used as the basis for a formal semantics of PROV (PROV-SEM). For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-N","support_links":[{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-sem/","name":"PROV-SEM","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001296","bsg-s001296"],"name":"FAIRsharing record for: W3C Provenance Notation","abbreviation":"PROV-N","url":"https://fairsharing.org/10.25504/FAIRsharing.880e6c","doi":"10.25504/FAIRsharing.880e6c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROV-N is aimed at human consumption and allows serializations of PROV instances to be created in a compact manner. PROV-N facilitates the mapping of the PROV data model to concrete syntax, and is used as the basis for a formal semantics of PROV (PROV-SEM). For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16968}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1824,"relation":"undefined"}],"grants":[{"id":7221,"fairsharing_record_id":1327,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:30.204Z","updated_at":"2021-09-30T09:28:30.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1328","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:01:57.557Z","metadata":{"doi":"10.25504/FAIRsharing.vbejb6","name":"Genomic Feature and Variation Ontology","status":"ready","contacts":[{"contact_name":"Joachim Baran","contact_email":"kim@codamono.com"}],"homepage":"https://github.com/BioInterchange/Ontologies","citations":[{"doi":"10.7717/peerj.933","pubmed_id":26019997,"publication_id":947}],"identifier":1328,"description":"The Genomic Feature and Variation Ontology (GFVO) is modeled to represent genomic data using the Resource Description Format (RDF) or Linked Data using JSON (JSON-LD). The GFVO specifically addresses genomic data as it is regularly shared using the GFF3 (incl. FASTA), GTF, GVF and VCF file formats. GFVO simplifies data integration and enables linking of genomic annotations across datasets through common semantics of genomic types and relations. NOTE: GFVO in BioPortal is a simplified version without ontology imports and having class/property equivalences removed.","abbreviation":"GFVO","support_links":[{"url":"robert.hoehndorf@kaust.edu.sa","name":"Robert Hoehndorf","type":"Support email"},{"url":"https://github.com/BioInterchange/Ontologies/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://www.codamono.com/biointerchange/documentation/","name":"Usage within BioInterchange","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GFVO","name":"GFVO","portal":"BioPortal"}]},"legacy_ids":["bsg-000959","bsg-s000959"],"name":"FAIRsharing record for: Genomic Feature and Variation Ontology","abbreviation":"GFVO","url":"https://fairsharing.org/10.25504/FAIRsharing.vbejb6","doi":"10.25504/FAIRsharing.vbejb6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic Feature and Variation Ontology (GFVO) is modeled to represent genomic data using the Resource Description Format (RDF) or Linked Data using JSON (JSON-LD). The GFVO specifically addresses genomic data as it is regularly shared using the GFF3 (incl. FASTA), GTF, GVF and VCF file formats. GFVO simplifies data integration and enables linking of genomic annotations across datasets through common semantics of genomic types and relations. NOTE: GFVO in BioPortal is a simplified version without ontology imports and having class/property equivalences removed.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12526},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16922}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Genome annotation","Sequence feature","Sequence variant"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway","Saudi Arabia","United States"],"publications":[{"id":947,"pubmed_id":26019997,"title":"GFVO: the Genomic Feature and Variation Ontology.","year":2015,"url":"http://doi.org/10.7717/peerj.933","authors":"Baran J,Durgahee BS,Eilbeck K,Antezana E,Hoehndorf R,Dumontier M","journal":"PeerJ","doi":"10.7717/peerj.933","created_at":"2021-09-30T08:24:04.780Z","updated_at":"2021-09-30T08:24:04.780Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1827,"relation":"undefined"}],"grants":[{"id":7225,"fairsharing_record_id":1328,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:28:30.358Z","updated_at":"2021-09-30T09:28:30.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7222,"fairsharing_record_id":1328,"organisation_id":682,"relation":"maintains","created_at":"2021-09-30T09:28:30.246Z","updated_at":"2021-09-30T09:28:30.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":682,"name":"Department of Biomedical Informatics, School of Medicine, University of Utah","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7223,"fairsharing_record_id":1328,"organisation_id":675,"relation":"maintains","created_at":"2021-09-30T09:28:30.287Z","updated_at":"2021-09-30T09:28:30.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":675,"name":"Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7224,"fairsharing_record_id":1328,"organisation_id":583,"relation":"maintains","created_at":"2021-09-30T09:28:30.326Z","updated_at":"2021-09-30T09:28:30.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":583,"name":"Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Saudi Arabia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1329","type":"fairsharing_records","attributes":{"created_at":"2020-04-26T08:04:24.000Z","updated_at":"2022-07-20T09:26:59.177Z","metadata":{"doi":"10.25504/FAIRsharing.5c7cec","name":"CESSDA Vocabulary","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"cessda@cessda.eu"}],"homepage":"https://vocabularies.cessda.eu/#!discover","citations":[],"identifier":1329,"description":"CESSDA Vocabulary Service enables users to discover, browse, and download controlled vocabularies in a variety of languages. The service is provided by the Consortium of European Social Science Data Archives (CESSDA). The majority of the source (English) vocabularies included in the service have been created by the DDI Alliance. The Data Documentation Initiative (DDI) is an international standard for describing data produced by surveys and other observational methods in the social, behavioural, economic, and health sciences.","abbreviation":"CESSDA Vocabulary","support_links":[{"url":"https://vocabularies.cessda.eu/#!about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/CESSDA_Data","type":"Twitter"}]},"legacy_ids":["bsg-001467","bsg-s001467"],"name":"FAIRsharing record for: CESSDA Vocabulary","abbreviation":"CESSDA Vocabulary","url":"https://fairsharing.org/10.25504/FAIRsharing.5c7cec","doi":"10.25504/FAIRsharing.5c7cec","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CESSDA Vocabulary Service enables users to discover, browse, and download controlled vocabularies in a variety of languages. The service is provided by the Consortium of European Social Science Data Archives (CESSDA). The majority of the source (English) vocabularies included in the service have been created by the DDI Alliance. The Data Documentation Initiative (DDI) is an international standard for describing data produced by surveys and other observational methods in the social, behavioural, economic, and health sciences.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12555}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Social Science","Public Health","Social and Behavioural Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[{"licence_name":"CESSDA Acceptable Use Policy and Conditions of Use","licence_id":120,"licence_url":"https://www.cessda.eu/Acceptable-Use-Policy","link_id":2056,"relation":"undefined"},{"licence_name":"CESSDA Cookie and Privacy Policy","licence_id":121,"licence_url":"https://www.cessda.eu/Privacy-policy","link_id":2055,"relation":"undefined"}],"grants":[{"id":7226,"fairsharing_record_id":1329,"organisation_id":602,"relation":"maintains","created_at":"2021-09-30T09:28:30.396Z","updated_at":"2021-09-30T09:28:30.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":602,"name":"Consortium of European Social Science Data Archives (CESSDA), Bergen, Norway","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1330","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:21:12.091Z","metadata":{"doi":"10.25504/FAIRsharing.9228fv","name":"French Crop Usage","status":"ready","contacts":[{"contact_name":"Catherine Roussey","contact_email":"catherine.roussey@inrae.fr"}],"homepage":"http://ontology.inrae.fr/cropusage","identifier":1330,"description":"A thesaurus about crops cultivated in France. The hierarchy is based on the final destination of the crop (human food, animal breeding, food industry) and the cultivated system. The hierachy is not based on scientific agronomic taxon like (species, genus). We are interested on categorize the usage of the crop, not on the plant classification.","abbreviation":"CROPUSAGE","year_creation":2016},"legacy_ids":["bsg-001120","bsg-s001120"],"name":"FAIRsharing record for: French Crop Usage","abbreviation":"CROPUSAGE","url":"https://fairsharing.org/10.25504/FAIRsharing.9228fv","doi":"10.25504/FAIRsharing.9228fv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A thesaurus about crops cultivated in France. The hierarchy is based on the final destination of the crop (human food, animal breeding, food industry) and the cultivated system. The hierachy is not based on scientific agronomic taxon like (species, genus). We are interested on categorize the usage of the crop, not on the plant classification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agricultural Engineering","Agriculture","Life Science"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2742,"pubmed_id":null,"title":"A methodology for the publication of agricultural alert bulletins as LOD","year":2017,"url":"https://doi.org/10.1016/j.compag.2017.10.022","authors":"Catherine Roussey, Stephan Bernard, François Pinet, Xavier Reboud, Vincent Cellier, Ivan Sivadon, Danièle Simonneau, Anne-Laure Bourigault","journal":"Computers and Electronics in Agriculture","doi":"https://doi.org/10.1016/j.compag.2017.10.022","created_at":"2021-09-30T08:27:36.781Z","updated_at":"2021-09-30T08:27:36.781Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1830,"relation":"undefined"}],"grants":[{"id":7228,"fairsharing_record_id":1330,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:30.476Z","updated_at":"2021-09-30T09:28:30.476Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1319","type":"fairsharing_records","attributes":{"created_at":"2018-04-24T11:07:38.000Z","updated_at":"2024-01-28T15:57:44.730Z","metadata":{"doi":"10.25504/FAIRsharing.3e603c","name":"Persistent Uniform Resource Locator","status":"ready","contacts":[],"homepage":"https://code.google.com/archive/p/persistenturls/","citations":[],"identifier":1319,"description":"PURLs are Web addresses or Uniform Resource Locators (URLs) that act as permanent identifiers in the face of a dynamic and changing Web infrastructure. Instead of resolving directly to Web resources (documents, data, services, people, etc.). PURLs allow third party control over both URL resolution and resource metadata provision. A URL is simply an address of a resource on the World Wide Web. A Persistent URL is an address on the World Wide Web that causes a redirection to another Web resource. If a Web resource changes location (and hence URL), a PURL pointing to it can be updated. A user of a PURL always uses the same Web address, even though the resource in question may have moved. PURLs may be used by publishers to manage their own information space or by Web users to manage theirs; a PURL service is independent of the publisher of information. Please note that the referenced homepage contains links to an archived google code site, and may not refer to the current specification location. Please get in touch with us if you have more information.","abbreviation":"PURL","support_links":[{"url":"https://groups.google.com/forum/#!forum/persistenturls","name":"PURL googlegroup","type":"Forum"},{"url":"https://code.google.com/archive/p/persistenturls/issues","name":"Google Code Issue Tracker","type":"Help documentation"}],"year_creation":1995,"regular_expression":"^(ftp|http|https):\\/\\/[^ \"]+$ "},"legacy_ids":["bsg-001183","bsg-s001183"],"name":"FAIRsharing record for: Persistent Uniform Resource Locator","abbreviation":"PURL","url":"https://fairsharing.org/10.25504/FAIRsharing.3e603c","doi":"10.25504/FAIRsharing.3e603c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PURLs are Web addresses or Uniform Resource Locators (URLs) that act as permanent identifiers in the face of a dynamic and changing Web infrastructure. Instead of resolving directly to Web resources (documents, data, services, people, etc.). PURLs allow third party control over both URL resolution and resource metadata provision. A URL is simply an address of a resource on the World Wide Web. A Persistent URL is an address on the World Wide Web that causes a redirection to another Web resource. If a Web resource changes location (and hence URL), a PURL pointing to it can be updated. A user of a PURL always uses the same Web address, even though the resource in question may have moved. PURLs may be used by publishers to manage their own information space or by Web users to manage theirs; a PURL service is independent of the publisher of information. Please note that the referenced homepage contains links to an archived google code site, and may not refer to the current specification location. Please get in touch with us if you have more information.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17387},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13172},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13214},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13242}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1245,"relation":"undefined"}],"grants":[{"id":7202,"fairsharing_record_id":1319,"organisation_id":7,"relation":"funds","created_at":"2021-09-30T09:28:29.520Z","updated_at":"2021-09-30T09:28:29.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":7,"name":"3 Round Stones","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7207,"fairsharing_record_id":1319,"organisation_id":3273,"relation":"maintains","created_at":"2021-09-30T09:28:29.715Z","updated_at":"2021-09-30T09:28:29.715Z","grant_id":null,"is_lead":false,"saved_state":{"id":3273,"name":"Zepheira","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7203,"fairsharing_record_id":1319,"organisation_id":2702,"relation":"funds","created_at":"2021-09-30T09:28:29.562Z","updated_at":"2021-09-30T09:28:29.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":2702,"name":"Talis","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7204,"fairsharing_record_id":1319,"organisation_id":2222,"relation":"funds","created_at":"2021-09-30T09:28:29.603Z","updated_at":"2021-09-30T09:28:29.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":2222,"name":"OCLC","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7205,"fairsharing_record_id":1319,"organisation_id":2,"relation":"funds","created_at":"2021-09-30T09:28:29.645Z","updated_at":"2021-09-30T09:28:29.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":2,"name":"1060 Research","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7206,"fairsharing_record_id":1319,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:28:29.683Z","updated_at":"2021-09-30T09:28:29.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1320","type":"fairsharing_records","attributes":{"created_at":"2020-09-10T13:02:32.000Z","updated_at":"2022-07-20T09:00:01.678Z","metadata":{"doi":"10.25504/FAIRsharing.83d974","name":"Keyhole Markup Language","status":"ready","contacts":[{"contact_name":"OGC General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/kml/","identifier":1320,"description":"KML is an XML language focused on geographic visualization, including annotation of maps and images. Geographic visualization includes not only the presentation of graphical data on the globe, but also the control of the user's navigation in the sense of where to go and where to look. KML is complementary to most of the key existing OGC standards including GML (Geography Markup Language), WFS (Web Feature Service) and WMS (Web Map Service).","abbreviation":"KML","year_creation":2008},"legacy_ids":["bsg-001520","bsg-s001520"],"name":"FAIRsharing record for: Keyhole Markup Language","abbreviation":"KML","url":"https://fairsharing.org/10.25504/FAIRsharing.83d974","doi":"10.25504/FAIRsharing.83d974","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KML is an XML language focused on geographic visualization, including annotation of maps and images. Geographic visualization includes not only the presentation of graphical data on the globe, but also the control of the user's navigation in the sense of where to go and where to look. KML is complementary to most of the key existing OGC standards including GML (Geography Markup Language), WFS (Web Feature Service) and WMS (Web Map Service).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science","Data Visualization"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2235,"relation":"undefined"}],"grants":[{"id":7208,"fairsharing_record_id":1320,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:29.739Z","updated_at":"2021-09-30T09:28:29.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1321","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T09:56:39.948Z","metadata":{"doi":"10.25504/FAIRsharing.js20q3","name":"Chickpea Ontology","status":"ready","contacts":[{"contact_name":"Trushar Shah","contact_email":"tm.shah@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_338:ROOT","citations":[],"identifier":1321,"description":"Development of crop-specific trait ontologies including the Chickpea Ontology began in 2008 as part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_338","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001109","bsg-s001109"],"name":"FAIRsharing record for: Chickpea Ontology","abbreviation":"CO_338","url":"https://fairsharing.org/10.25504/FAIRsharing.js20q3","doi":"10.25504/FAIRsharing.js20q3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Development of crop-specific trait ontologies including the Chickpea Ontology began in 2008 as part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food","Phenotype"],"taxonomies":["Cicer arietinum"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1777,"relation":"undefined"}],"grants":[{"id":7210,"fairsharing_record_id":1321,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:29.803Z","updated_at":"2021-09-30T09:28:29.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7209,"fairsharing_record_id":1321,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:28:29.767Z","updated_at":"2021-09-30T09:28:29.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1322","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:01:23.158Z","metadata":{"doi":"10.25504/FAIRsharing.yc237s","name":"Multi-Scale Multi-Step Ontology","status":"deprecated","contacts":[{"contact_name":"Juliette Dibie","contact_email":"juliette.dibie_barthelemy@agroparistech.fr"}],"homepage":"http://dx.doi.org/10.15454/1.4502762931471938E12","citations":[{"doi":"10.1007/978-3-319-40985-6_13","publication_id":2731}],"identifier":1322,"description":"The Multi-scale Multi-step ontology (MS2O) is an ontology to describe transformation processes. MS2O was created for an interdisciplinary project concerning transformation processes in food science. The use case concerns the production of stabilized micro-organisms performed at INRA (French National Institute for Agricultural Research). Experimental observations are available for some inputs of the production processes, at different steps and at a certain scale.","abbreviation":"MS2O","year_creation":2015,"deprecation_date":"2020-01-30","deprecation_reason":"As confirmed on their homepage, MS2O is obsolete and has been replaced by the Process and Observation Ontology."},"legacy_ids":["bsg-001111","bsg-s001111"],"name":"FAIRsharing record for: Multi-Scale Multi-Step Ontology","abbreviation":"MS2O","url":"https://fairsharing.org/10.25504/FAIRsharing.yc237s","doi":"10.25504/FAIRsharing.yc237s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Multi-scale Multi-step ontology (MS2O) is an ontology to describe transformation processes. MS2O was created for an interdisciplinary project concerning transformation processes in food science. The use case concerns the production of stabilized micro-organisms performed at INRA (French National Institute for Agricultural Research). Experimental observations are available for some inputs of the production processes, at different steps and at a certain scale.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Materials Engineering","Agricultural Engineering","Materials Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Processing"],"countries":["France"],"publications":[{"id":2731,"pubmed_id":null,"title":"M2SO - A Multi-scale and Multi-step Ontology for Transformation Processes: Application to Micro-Organisms","year":2016,"url":"https://hal.archives-ouvertes.fr/hal-01357749","authors":"Dibie J., Dervaux S., Doriot E., Ibanescu L., Penicaud C","journal":"In: Haemmerle O., Stapleton G., Faron Zucker C. (eds) Graph-Based Representation and Reasoning. ICCS 2016. Lecture Notes in Computer Science, vol 9717. Springer","doi":"10.1007/978-3-319-40985-6_13","created_at":"2021-09-30T08:27:35.406Z","updated_at":"2021-09-30T08:27:35.406Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1776,"relation":"undefined"}],"grants":[{"id":7211,"fairsharing_record_id":1322,"organisation_id":2907,"relation":"maintains","created_at":"2021-09-30T09:28:29.845Z","updated_at":"2021-09-30T09:28:29.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":2907,"name":"UMR0782 GMPA Gnie et Microbiologie des Procds Alimentaires","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7212,"fairsharing_record_id":1322,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:29.896Z","updated_at":"2021-09-30T09:28:29.896Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1314","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-07-20T11:04:25.964Z","metadata":{"doi":"10.25504/FAIRsharing.fgmzk8","name":"Plant Experimental Assay Ontology","status":"ready","contacts":[{"contact_name":"PEAO Team","contact_email":"peaoteam@gmail.com"}],"homepage":"https://bitbucket.org/PlantExpAssay/ontology","identifier":1314,"description":"The Plant Experimental Assay Ontology (PEAO) was created to describe experimental procedures within plant research, regardless of the scientific questions that prompted the assays. This ontology models entities from three distinct realms (biological, physical and data), which include experimental products, their relations and the protocols describing their manipulation. PEAO is intended to be used as a log book by experimentalists, providing a formal relation between entities.","abbreviation":"PEAO","support_links":[{"url":"https://bitbucket.org/PlantExpAssay/ontology/issues?status=new\u0026status=open","name":"Bitbucket Issue Tracker","type":"Forum"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PEAO","name":"PEAO","portal":"BioPortal"}]},"legacy_ids":["bsg-000867","bsg-s000867"],"name":"FAIRsharing record for: Plant Experimental Assay Ontology","abbreviation":"PEAO","url":"https://fairsharing.org/10.25504/FAIRsharing.fgmzk8","doi":"10.25504/FAIRsharing.fgmzk8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Experimental Assay Ontology (PEAO) was created to describe experimental procedures within plant research, regardless of the scientific questions that prompted the assays. This ontology models entities from three distinct realms (biological, physical and data), which include experimental products, their relations and the protocols describing their manipulation. PEAO is intended to be used as a log book by experimentalists, providing a formal relation between entities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Experimental measurement","Assay","Protocol","Study design","Experimentally determined"],"taxonomies":["Plantae"],"user_defined_tags":["Experimental condition"],"countries":["Portugal"],"publications":[],"licence_links":[],"grants":[{"id":7193,"fairsharing_record_id":1314,"organisation_id":1301,"relation":"maintains","created_at":"2021-09-30T09:28:29.161Z","updated_at":"2021-09-30T09:28:29.161Z","grant_id":null,"is_lead":false,"saved_state":{"id":1301,"name":"iBET","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7194,"fairsharing_record_id":1314,"organisation_id":1556,"relation":"maintains","created_at":"2021-09-30T09:28:29.203Z","updated_at":"2021-09-30T09:28:29.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":1556,"name":"ISEL","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7190,"fairsharing_record_id":1314,"organisation_id":1569,"relation":"maintains","created_at":"2021-09-30T09:28:29.082Z","updated_at":"2021-09-30T09:28:29.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":1569,"name":"ITQB","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7192,"fairsharing_record_id":1314,"organisation_id":1447,"relation":"maintains","created_at":"2021-09-30T09:28:29.131Z","updated_at":"2021-09-30T09:28:29.131Z","grant_id":null,"is_lead":false,"saved_state":{"id":1447,"name":"Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Lisboa, Portugal","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9387,"fairsharing_record_id":1314,"organisation_id":1081,"relation":"funds","created_at":"2022-04-11T12:07:34.965Z","updated_at":"2022-04-11T12:07:34.980Z","grant_id":1505,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"DATASTORM (Large-Scale Data Management in Cloud Environments) project ref. EXCL/EEI-ESS/0257/2012","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1315","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:10:49.314Z","metadata":{"doi":"10.25504/FAIRsharing.nj16g","name":"International Classification of Diseases Version 10","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"classifications@who.int"}],"homepage":"http://www.who.int/classifications/icd/en/","identifier":1315,"description":"The ICD is the international standard diagnostic classification for all general epidemiological, many health management purposes and clinical use. ICD-10 is the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD), a medical classification list by the World Health Organization (WHO). It contains codes for diseases, signs and symptoms, abnormal findings, complaints, social circumstances, and external causes of injury or diseases.","abbreviation":"ICD-10","support_links":[{"url":"https://www.who.int/classifications/help/icdfaq/en/","name":"ICD 10 FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://icd.who.int/browse10/Content/statichtml/ICD10Volume2_en_2016.pdf","name":"ICD Instruction Manual (PDF)","type":"Help documentation"},{"url":"http://apps.who.int/classifications/apps/icd/icd10training/","name":"ICD-10 Interactive Self Learning Tool","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/ICD-10","name":"ICD 10 Wikipedia entry","type":"Wikipedia"}],"year_creation":1990},"legacy_ids":["bsg-000274","bsg-s000274"],"name":"FAIRsharing record for: International Classification of Diseases Version 10","abbreviation":"ICD-10","url":"https://fairsharing.org/10.25504/FAIRsharing.nj16g","doi":"10.25504/FAIRsharing.nj16g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICD is the international standard diagnostic classification for all general epidemiological, many health management purposes and clinical use. ICD-10 is the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD), a medical classification list by the World Health Organization (WHO). It contains codes for diseases, signs and symptoms, abnormal findings, complaints, social circumstances, and external causes of injury or diseases.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17334},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11029},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11279},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12019},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16980}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":["Disease","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":461,"relation":"undefined"},{"licence_name":"WHO Permission Form for Commercial Use","licence_id":862,"licence_url":"http://www.who.int/about/licensing/copyright_form/en/","link_id":462,"relation":"undefined"}],"grants":[{"id":7195,"fairsharing_record_id":1315,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:29.244Z","updated_at":"2021-09-30T09:28:29.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7196,"fairsharing_record_id":1315,"organisation_id":3252,"relation":"funds","created_at":"2021-09-30T09:28:29.280Z","updated_at":"2021-09-30T09:28:29.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1316","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-01T22:30:51.297Z","metadata":{"doi":"10.25504/FAIRsharing.ka5tfc","name":"Health Level Seven Reference Implementation Model","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"mnm@lists.hl7.org"}],"homepage":"http://www.hl7.org/implement/standards/product_brief.cfm?product_id=186","citations":[],"identifier":1316,"description":"The Health Level Seven Version 3 (V3) Normative Edition—a suite of specifications based on HL7’s Reference Information Model (RIM)—provides a single source that allows implementers of V3 specifications to work with the full set of messages, data types, and terminologies needed to build a complete implementation. The Version 3 Normative Edition represents a new approach to clinical information exchange based on a model driven methodology that produces messages and electronic documents expressed in XML syntax. ","abbreviation":"HL7","support_links":[{"url":"http://www.hl7.org/about/FAQs/index.cfm?ref=nav","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"cross_references":[]},"legacy_ids":["bsg-002659","bsg-s002659"],"name":"FAIRsharing record for: Health Level Seven Reference Implementation Model","abbreviation":"HL7","url":"https://fairsharing.org/10.25504/FAIRsharing.ka5tfc","doi":"10.25504/FAIRsharing.ka5tfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Health Level Seven Version 3 (V3) Normative Edition—a suite of specifications based on HL7’s Reference Information Model (RIM)—provides a single source that allows implementers of V3 specifications to work with the full set of messages, data types, and terminologies needed to build a complete implementation. The Version 3 Normative Edition represents a new approach to clinical information exchange based on a model driven methodology that produces messages and electronic documents expressed in XML syntax. ","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11039},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12225}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Croatia","Germany","Mexico","Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"HL7 Privacy Policy","licence_id":397,"licence_url":"http://www.hl7.org/legal/privacy.cfm?ref=nav","link_id":228,"relation":"undefined"},{"licence_name":"HL7 Terms of Use","licence_id":398,"licence_url":"http://www.hl7.org/legal/tc.cfm?ref=nav","link_id":241,"relation":"undefined"}],"grants":[{"id":7197,"fairsharing_record_id":1316,"organisation_id":1223,"relation":"maintains","created_at":"2021-09-30T09:28:29.320Z","updated_at":"2021-09-30T09:28:29.320Z","grant_id":null,"is_lead":false,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7198,"fairsharing_record_id":1316,"organisation_id":1223,"relation":"funds","created_at":"2021-09-30T09:28:29.358Z","updated_at":"2021-09-30T09:28:29.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1317","type":"fairsharing_records","attributes":{"created_at":"2020-01-23T14:55:46.000Z","updated_at":"2022-09-02T09:15:40.416Z","metadata":{"doi":"10.25504/FAIRsharing.5794af","name":"European and Mediterranean Plant Protection Organization Codes","status":"ready","contacts":[{"contact_name":"EPPO Secretariat","contact_email":"hq@eppo.int"}],"homepage":"https://www.eppo.int/RESOURCES/eppo_databases/eppo_codes","citations":[],"identifier":1317,"description":"European and Mediterranean Plant Protection Organization (EPPO) Codes are computer codes developed for plants, pests (including pathogens) which are important in agriculture and plant protection. EPPO codes constitute a harmonized coding system which aims to facilitate the management of plant and pest names in computerized databases, as well as data exchange between IT systems.","abbreviation":"EPPO Codes","support_links":[{"url":"https://www.eppo.int/contact","name":"EPPO Contact Form","type":"Contact form"},{"url":"https://www.eppo.int/media/uploaded_images/RESOURCES/eppo_databases/A4_EPPO_Codes_2018.pdf","name":"Brief Description of EPPO Codes (PDF)","type":"Help documentation"},{"url":"https://twitter.com/EPPOnews","name":"@EPPOnews","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/EPPO_Code","name":"EPPO Code Wikipedia entry","type":"Wikipedia"},{"url":"https://www.eppo.int/media/uploaded_images/MEETINGS/Meetings_2021/webinar/02_EPPO_Codes_2021_ASR_VL.pdf","name":"General presentation on EPPO codes ","type":"Help documentation"}],"year_creation":1996},"legacy_ids":["bsg-001438","bsg-s001438"],"name":"FAIRsharing record for: European and Mediterranean Plant Protection Organization Codes","abbreviation":"EPPO Codes","url":"https://fairsharing.org/10.25504/FAIRsharing.5794af","doi":"10.25504/FAIRsharing.5794af","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: European and Mediterranean Plant Protection Organization (EPPO) Codes are computer codes developed for plants, pests (including pathogens) which are important in agriculture and plant protection. EPPO codes constitute a harmonized coding system which aims to facilitate the management of plant and pest names in computerized databases, as well as data exchange between IT systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Taxonomy","Agriculture"],"domains":["Centrally registered identifier","Pathogen"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":7200,"fairsharing_record_id":1317,"organisation_id":874,"relation":"maintains","created_at":"2021-09-30T09:28:29.441Z","updated_at":"2021-09-30T09:28:29.441Z","grant_id":null,"is_lead":true,"saved_state":{"id":874,"name":"EPPO Secretariat","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7199,"fairsharing_record_id":1317,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:28:29.404Z","updated_at":"2021-09-30T09:28:29.404Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1331","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:30.460Z","metadata":{"doi":"10.25504/FAIRsharing.dt7hn8","name":"Minimum Information About a Bioactive Entity","status":"ready","contacts":[{"contact_name":"Sandra Orchard","contact_email":"orchard@ebi.ac.uk"}],"homepage":"http://www.psidev.info/miabe","citations":[{"doi":"10.1038/nrd3503","pubmed_id":21878981,"publication_id":856}],"identifier":1331,"description":"MIABE is intended to be used as a guideline which should be consulted prior to the publication of data describing small molecules and their interactions with one or more target molecules. It was developed by representatives of pharmaceutical companies, data resource providers and academic groups.","abbreviation":"MIABE","support_links":[{"url":"webmaster@psidev.info","name":"General Contact","type":"Support email"}],"year_creation":2010},"legacy_ids":["bsg-000159","bsg-s000159"],"name":"FAIRsharing record for: Minimum Information About a Bioactive Entity","abbreviation":"MIABE","url":"https://fairsharing.org/10.25504/FAIRsharing.dt7hn8","doi":"10.25504/FAIRsharing.dt7hn8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIABE is intended to be used as a guideline which should be consulted prior to the publication of data describing small molecules and their interactions with one or more target molecules. It was developed by representatives of pharmaceutical companies, data resource providers and academic groups.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11448},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11601},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12082}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicology","Biomedical Science"],"domains":["Molecular entity","Biomarker","Bioactivity","Small molecule binding","Molecular interaction","Small molecule","Target"],"taxonomies":["All"],"user_defined_tags":["Drug Target"],"countries":["Canada","Sweden","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":856,"pubmed_id":21878981,"title":"Minimum information about a bioactive entity (MIABE).","year":2011,"url":"http://doi.org/10.1038/nrd3503","authors":"Orchard S,Al-Lazikani B,Bryant S,Clark D,Calder E,Dix I,Engkvist O,Forster M,Gaulton A,Gilson M,Glen R,Grigorov M,Hammond-Kosack K,Harland L,Hopkins A,Larminie C,Lynch N,Mann RK,Murray-Rust P,Lo Piparo E,Southan C,Steinbeck C,Wishart D,Hermjakob H,Overington J,Thornton J","journal":"Nat Rev Drug Discov","doi":"10.1038/nrd3503","created_at":"2021-09-30T08:23:54.471Z","updated_at":"2021-09-30T08:23:54.471Z"}],"licence_links":[],"grants":[{"id":7230,"fairsharing_record_id":1331,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:30.531Z","updated_at":"2021-09-30T09:28:30.531Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7229,"fairsharing_record_id":1331,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:30.508Z","updated_at":"2021-09-30T09:32:41.140Z","grant_id":1732,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"086151","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7231,"fairsharing_record_id":1331,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:30.556Z","updated_at":"2021-09-30T09:31:53.052Z","grant_id":1370,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/1000/488/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8334,"fairsharing_record_id":1331,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:09.109Z","updated_at":"2021-09-30T09:32:09.170Z","grant_id":1491,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBS/E/C/00004973","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1318","type":"fairsharing_records","attributes":{"created_at":"2020-09-10T12:23:03.000Z","updated_at":"2022-07-20T09:00:01.583Z","metadata":{"doi":"10.25504/FAIRsharing.2e4a34","name":"Environmental Systems Research Institute Shapefile","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@esri.com"}],"homepage":"https://support.esri.com/en/white-paper/279","identifier":1318,"description":"An Environmental Systems Research Institute (ESRI) Shapefile stores non-topological geometry and attribute information for the spatial features in a data set. The geometry for a feature is stored as a shape comprising a set of vector coordinates, and can model single features that overlap or that are non-contiguous. Shapefiles can support point, line, and area features. Area features are represented as closed loop, double-digitized polygons.","abbreviation":"ESRI Shapefile","support_links":[{"url":"https://en.wikipedia.org/wiki/Shapefile","name":"Shapefile Wikipedia Page","type":"Wikipedia"}],"year_creation":1998},"legacy_ids":["bsg-001519","bsg-s001519"],"name":"FAIRsharing record for: Environmental Systems Research Institute Shapefile","abbreviation":"ESRI Shapefile","url":"https://fairsharing.org/10.25504/FAIRsharing.2e4a34","doi":"10.25504/FAIRsharing.2e4a34","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An Environmental Systems Research Institute (ESRI) Shapefile stores non-topological geometry and attribute information for the spatial features in a data set. The geometry for a feature is stored as a shape comprising a set of vector coordinates, and can model single features that overlap or that are non-contiguous. Shapefiles can support point, line, and area features. Area features are represented as closed loop, double-digitized polygons.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7201,"fairsharing_record_id":1318,"organisation_id":867,"relation":"maintains","created_at":"2021-09-30T09:28:29.480Z","updated_at":"2021-09-30T09:28:29.480Z","grant_id":null,"is_lead":true,"saved_state":{"id":867,"name":"Environmental Systems Research Institute, Redlands, California, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1418","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T00:29:17.000Z","updated_at":"2023-05-05T07:49:13.430Z","metadata":{"doi":"10.25504/FAIRsharing.77fbbf","name":"Gene Ontology (GO) Gene Association File Format 2.2","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium Helpdesk","contact_email":"help@geneontology.org","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://geneontology.org/docs/go-annotation-file-gaf-format-2.2/","citations":[],"identifier":1418,"description":"Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.2 (GAF 2.2). The annotation flat file format is comprised of 17 tab-delimited fields. This version is the default GAF format as of March 2021.","abbreviation":"GAF 2.2","support_links":[{"url":"https://github.com/geneontology/helpdesk/issues","name":"GO GitHub Issue Tracker","type":"Github"},{"url":"help@geneontology.org","name":"GO Helpdesk","type":"Support email"},{"url":"http://geneontology.org/docs/go-annotations/","name":"Introduction to GO annotations","type":"Help documentation"}],"year_creation":2021,"associated_tools":[{"url":"http://noctua.berkeleybop.org/","name":"NOCTUA Curation Platform"},{"url":"http://geneontology.org/go-cam","name":"GO Causal Activity Models (CAMs) viewer"}]},"legacy_ids":["bsg-001561","bsg-s001561"],"name":"FAIRsharing record for: Gene Ontology (GO) Gene Association File Format 2.2","abbreviation":"GAF 2.2","url":"https://fairsharing.org/10.25504/FAIRsharing.77fbbf","doi":"10.25504/FAIRsharing.77fbbf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.2 (GAF 2.2). The annotation flat file format is comprised of 17 tab-delimited fields. This version is the default GAF format as of March 2021.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Animal Genetics","Genetics","Human Genetics","Microbial Genetics","Molecular Microbiology","Life Science","Molecular Genetics","Plant Genetics"],"domains":["Gene name","Gene Ontology enrichment","Gene functional annotation","Function analysis","Molecular function","Cellular component","Biological process","Gene expression","Regulation of gene expression","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1544,"relation":"undefined"}],"grants":[{"id":7435,"fairsharing_record_id":1418,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:28:37.681Z","updated_at":"2021-09-30T09:28:37.681Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1419","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2021-12-10T15:11:56.318Z","metadata":{"doi":"10.25504/FAIRsharing.97z25b","name":"Ontology for Geography Markup Language","status":"deprecated","contacts":[{"contact_name":"Kim Durante","contact_email":"kdurante@stanford.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/GML","citations":[],"identifier":1419,"description":"The Geography Markup Language (GML) is an RDF encoding for the transport and storage of geographic information, including both the geometry and properties of geographic features. Vocabulary terms are declared using OWL language to support RDF applications.","abbreviation":"GML3.0","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GML","name":"GML","portal":"BioPortal"}],"deprecation_date":"2021-12-10","deprecation_reason":"No documentation or homepage for this resource can be found. "},"legacy_ids":["bsg-000787","bsg-s000787"],"name":"FAIRsharing record for: Ontology for Geography Markup Language","abbreviation":"GML3.0","url":"https://fairsharing.org/10.25504/FAIRsharing.97z25b","doi":"10.25504/FAIRsharing.97z25b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geography Markup Language (GML) is an RDF encoding for the transport and storage of geographic information, including both the geometry and properties of geographic features. Vocabulary terms are declared using OWL language to support RDF applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1420","type":"fairsharing_records","attributes":{"created_at":"2021-01-12T13:24:21.000Z","updated_at":"2021-11-24T13:16:35.132Z","metadata":{"doi":"10.25504/FAIRsharing.a4dcb9","name":"American Geosciences Institute Glossary of Geology","status":"ready","contacts":[{"contact_email":"jr@agiweb.org"}],"homepage":"https://www.americangeosciences.org/pubs/glossary","identifier":1420,"description":"The American Geosciences Institute (AGI) Glossary of Geology is a reference vocabulary for the earth sciences. Information includes terms and definitions together with term history; the meaning of abbreviations, prefixes and acronyms common in the geoscience vocabulary; the dates many terms were first used; the preferred term of two or more synonyms; and in some cases a syllabification guide and background information. The Glossary is available in print, e-book or via online subscription. Online subscriptions are available for institutions only, and not to individuals.","abbreviation":"AGI Glossary of Geology"},"legacy_ids":["bsg-001577","bsg-s001577"],"name":"FAIRsharing record for: American Geosciences Institute Glossary of Geology","abbreviation":"AGI Glossary of Geology","url":"https://fairsharing.org/10.25504/FAIRsharing.a4dcb9","doi":"10.25504/FAIRsharing.a4dcb9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The American Geosciences Institute (AGI) Glossary of Geology is a reference vocabulary for the earth sciences. Information includes terms and definitions together with term history; the meaning of abbreviations, prefixes and acronyms common in the geoscience vocabulary; the dates many terms were first used; the preferred term of two or more synonyms; and in some cases a syllabification guide and background information. The Glossary is available in print, e-book or via online subscription. Online subscriptions are available for institutions only, and not to individuals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"AGI Glossary of Geology Subscription required for access","licence_id":17,"licence_url":"https://www.americangeosciences.org/pubs/glossary","link_id":353,"relation":"undefined"}],"grants":[{"id":7436,"fairsharing_record_id":1420,"organisation_id":76,"relation":"maintains","created_at":"2021-09-30T09:28:37.706Z","updated_at":"2021-09-30T09:28:37.706Z","grant_id":null,"is_lead":true,"saved_state":{"id":76,"name":"American Geosciences Institute (AGI), Alexandria, VA, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1421","type":"fairsharing_records","attributes":{"created_at":"2020-08-04T20:57:30.000Z","updated_at":"2021-11-24T13:13:30.307Z","metadata":{"name":"Minimum Information for Publication of PCR-based Telomere Length Measurement","status":"in_development","contacts":[{"contact_name":"Stacy Drury","contact_email":"telomerenetwork@gmail.com"}],"homepage":"https://trn.tulane.edu/wp-content/uploads/sites/445/2020/08/TRN-Reporting-Guidelines-updated.pdf","identifier":1421,"description":"The Minimum Information for Publication of PCR-based Telomere Length Measurement (MIPTL) was developed to reflect the current recommendations of the Telomere Research Network (TRN) for best practices of the measurement of telomere length in population-based studies. These recommendations are offered as initial guidelines for researchers, reviewers, and scientific research officers, and are considered minimal reporting guidelines for PCR-based measurement of telomere length.","abbreviation":"MIPTL","support_links":[{"url":"https://trn.tulane.edu/contact-us/","name":"Contact the TRN","type":"Contact form"}],"year_creation":2020},"legacy_ids":["bsg-001515","bsg-s001515"],"name":"FAIRsharing record for: Minimum Information for Publication of PCR-based Telomere Length Measurement","abbreviation":"MIPTL","url":"https://fairsharing.org/fairsharing_records/1421","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information for Publication of PCR-based Telomere Length Measurement (MIPTL) was developed to reflect the current recommendations of the Telomere Research Network (TRN) for best practices of the measurement of telomere length in population-based studies. These recommendations are offered as initial guidelines for researchers, reviewers, and scientific research officers, and are considered minimal reporting guidelines for PCR-based measurement of telomere length.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Molecular biology","Population Genetics"],"domains":["Real time polymerase chain reaction","Chromosome","Aging","Chromosomal region","Polymerase Chain Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":["telomere","telomere length"],"countries":["United States"],"publications":[{"id":3037,"pubmed_id":null,"title":"Telomere length measurement by qPCR – Summary of critical factors and recommendations for assay design","year":2019,"url":"http://doi.org/10.1016/j.psyneuen.2018.10.005","authors":"Jue Lin, Dana L. Smith, Kyle Esteves, Stacy Drury","journal":"Psychoneuroendocrinology","doi":"10.1016/j.psyneuen.2018.10.005","created_at":"2021-09-30T08:28:14.299Z","updated_at":"2021-09-30T08:28:14.299Z"}],"licence_links":[],"grants":[{"id":7437,"fairsharing_record_id":1421,"organisation_id":2729,"relation":"maintains","created_at":"2021-09-30T09:28:37.730Z","updated_at":"2021-09-30T09:28:37.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":2729,"name":"Telomere Research Network","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7438,"fairsharing_record_id":1421,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:37.766Z","updated_at":"2021-09-30T09:31:04.276Z","grant_id":1002,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U24AG066528","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1422","type":"fairsharing_records","attributes":{"created_at":"2021-01-19T07:45:28.000Z","updated_at":"2023-09-14T15:12:45.515Z","metadata":{"doi":"10.25504/FAIRsharing.USxx0K","name":"Ontology for Nutritional epidemiology","status":"ready","contacts":[{"contact_name":"Carl Lachat","contact_email":"carl.lachat@ugent.be","contact_orcid":"0000-0002-1389-8855"},{"contact_name":"Chen Yang","contact_email":"chenyangnutrition@gmail.com","contact_orcid":"0000-0001-9202-5309"}],"homepage":"https://github.com/cyang0128/Nutritional-epidemiologic-ontologies","citations":[{"doi":"E1300","pubmed_id":31181762,"publication_id":40}],"identifier":1422,"description":"The ontology for nutritional epidemiology (ONE) describes nutritional epidemiologic studies, and was created to improve on how generic ontologies for food science, nutrition science or medical science covered the specific characteristics of nutritional epidemiologic studies.","abbreviation":"ONE","support_links":[{"url":"https://github.com/cyang0128/Nutritional-Epidemiologic-ontologies","name":"Nutritional epidemiologic ontologies on GitHub","type":"Github"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONE","name":"ONE","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/one.html","name":"ONE","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001581","bsg-s001581"],"name":"FAIRsharing record for: Ontology for Nutritional epidemiology","abbreviation":"ONE","url":"https://fairsharing.org/10.25504/FAIRsharing.USxx0K","doi":"10.25504/FAIRsharing.USxx0K","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology for nutritional epidemiology (ONE) describes nutritional epidemiologic studies, and was created to improve on how generic ontologies for food science, nutrition science or medical science covered the specific characteristics of nutritional epidemiologic studies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17330},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14552}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Nutritional Science","Metabolomics","Epidemiology"],"domains":["Diet"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":40,"pubmed_id":31181762,"title":"An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.","year":2019,"url":"https://www.mdpi.com/2072-6643/11/6/1300","authors":"Yang C,Ambayo H,Baets B,Kolsteren P,Thanintorn N,Hawwash D,Bouwman J,Bronselaer A,Pattyn F,Lachat C","journal":"Nutrients","doi":"E1300","created_at":"2021-09-30T08:22:24.772Z","updated_at":"2021-09-30T08:22:24.772Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1530,"relation":"undefined"}],"grants":[{"id":7439,"fairsharing_record_id":1422,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:28:37.789Z","updated_at":"2021-09-30T09:29:16.769Z","grant_id":173,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"G0D4815N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9149,"fairsharing_record_id":1422,"organisation_id":1152,"relation":"maintains","created_at":"2022-04-11T12:07:17.698Z","updated_at":"2022-04-11T12:07:17.698Z","grant_id":null,"is_lead":true,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1423","type":"fairsharing_records","attributes":{"created_at":"2020-10-30T14:52:28.000Z","updated_at":"2022-07-20T10:14:59.265Z","metadata":{"doi":"10.25504/FAIRsharing.a46a7c","name":"FAIR Genomes Semantic Model","status":"ready","contacts":[{"contact_name":"Morris Swertz","contact_email":"m.a.swertz@gmail.com","contact_orcid":"0000-0002-0979-3401"}],"homepage":"https://fairgenomes.org/","citations":[],"identifier":1423,"description":"FAIR Genomes aims to enable next-generation sequencing (NGS) data reuse by developing metadata standards for the data descriptions needed to FAIRify genomic data while also addressing ELSI issues. The FAIR Genomes schema reuses common ontologies such as NCIT, DUO, and EDAM (only introducing new terms when necessary). The metadata schema is represented in a YAML format that can be transformed into templates for data entry software (EDC) and programmatic interfaces (JSON, RDF) to ease genomic data sharing in research and healthcare.\n\nThe FAIR Genomes application ontology TTL files can be converted to other RDF serialization formats including OWL-XML, RDF-XML, RDF-JSON, JSON-LD, N-Triples, TriG, TriX, Thrift, Manchester syntax and Functional syntax using Ontology Converter.","abbreviation":"FAIR Genomes","support_links":[{"url":"https://github.com/fairgenomes","name":"FAIR Genomes on GitHub","type":"Github"},{"url":"https://github.com/fairgenomes/fairgenomes-semantic-model","name":"FAIR Genomes Semantic Model","type":"Github"},{"url":"https://github.com/fairgenomes/fairgenomes-semantic-model/blob/main/generated/markdown/fairgenomes-semantic-model.md","name":"FAIR Genomes metadata schema","type":"Github"},{"url":"https://fairgenomes-acc.gcc.rug.nl/","name":"semantic metadata scheme using MOLGENIS demo","type":"Training documentation"},{"url":"https://github.com/fairgenomes/fairgenomes-semantic-model/blob/v1.1/generated/palga-codebook","name":"ART-DECOR Codebooks","type":"Help documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://github.com/molgenis/molgenis-emx2","name":"MOLGENIS EMX2 Software"},{"url":"https://decor.nictiz.nl/art-decor/home","name":" Advanced Requirements Tooling (ART-DECOR)"},{"url":"https://github.com/sszuev/ont-converter/releases/tag/v1.0","name":"Ontology Converter"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FG","name":"FAIR Genomes","portal":"BioPortal"}]},"legacy_ids":["bsg-001533","bsg-s001533"],"name":"FAIRsharing record for: FAIR Genomes Semantic Model","abbreviation":"FAIR Genomes","url":"https://fairsharing.org/10.25504/FAIRsharing.a46a7c","doi":"10.25504/FAIRsharing.a46a7c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FAIR Genomes aims to enable next-generation sequencing (NGS) data reuse by developing metadata standards for the data descriptions needed to FAIRify genomic data while also addressing ELSI issues. The FAIR Genomes schema reuses common ontologies such as NCIT, DUO, and EDAM (only introducing new terms when necessary). The metadata schema is represented in a YAML format that can be transformed into templates for data entry software (EDC) and programmatic interfaces (JSON, RDF) to ease genomic data sharing in research and healthcare.\n\nThe FAIR Genomes application ontology TTL files can be converted to other RDF serialization formats including OWL-XML, RDF-XML, RDF-JSON, JSON-LD, N-Triples, TriG, TriX, Thrift, Manchester syntax and Functional syntax using Ontology Converter.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Genomics","Health Science","Biomedical Science","Pathology"],"domains":["FAIR"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":3327,"pubmed_id":null,"title":"FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research","year":2022,"url":"http://dx.doi.org/10.1038/s41597-022-01265-x","authors":"van der Velde, K. Joeri; Singh, Gurnoor; Kaliyaperumal, Rajaram; Liao, XiaoFeng; de Ridder, Sander; Rebers, Susanne; Kerstens, Hindrik H. D.; de Andrade, Fernanda; van Reeuwijk, Jeroen; De Gruyter, Fini E.; Hiltemann, Saskia; Ligtvoet, Maarten; Weiss, Marjan M.; van Deutekom, Hanneke W. M.; Jansen, Anne M. L.; Stubbs, Andrew P.; Vissers, Lisenka E. L. M.; Laros, Jeroen F. J.; van Enckevort, Esther; Stemkens, Daphne; ‘t Hoen, Peter A. C.; Beliën, Jeroen A. M.; van Gijn, Mariëlle E.; Swertz, Morris A.; ","journal":"Sci Data","doi":"10.1038/s41597-022-01265-x","created_at":"2022-04-19T14:18:32.457Z","updated_at":"2022-04-19T14:18:32.457Z"},{"id":3328,"pubmed_id":null,"title":"fairgenomes/fairgenomes-semantic-model: Version 1.2","year":2022,"url":"https://doi.org/10.5281/zenodo.6303508","authors":"K. Joeri van der Velde; Rajaram; Fleur Kelpin; Morris Swertz","journal":"Zenodo","doi":"10.5281/zenodo.6303508","created_at":"2022-04-19T14:38:53.037Z","updated_at":"2022-04-19T14:38:53.037Z"}],"licence_links":[],"grants":[{"id":9453,"fairsharing_record_id":1423,"organisation_id":3003,"relation":"maintains","created_at":"2022-04-20T10:56:14.720Z","updated_at":"2022-04-20T10:56:14.720Z","grant_id":null,"is_lead":true,"saved_state":{"id":3003,"name":"University Medical Center Groningen","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1410","type":"fairsharing_records","attributes":{"created_at":"2020-06-18T13:32:36.000Z","updated_at":"2024-03-25T20:52:09.580Z","metadata":{"doi":"10.25504/FAIRsharing.3be57c","name":"UK Electronic Theses and Dissertations Metadata Schema","status":"ready","contacts":[{"contact_name":"EThOS Helpdesk","contact_email":"ethos-help@bl.uk"}],"homepage":"https://github.com/uol-library/uketd_dc","citations":[],"identifier":1410,"description":"The Electronic Theses Online Service UKETD_DC Schema (EThOS UKETD_DC) is built on the application profiile of the same name that describes the core set of metadata for UK theses. It was developed to enable all theses to be described in a clear and consistent way, allowing users to find the theses they seek and institutions to share the data between repositories where required. Although this resource is available at the stated homepage, the homepage seems to be a third-party site hosting it because its original homepage is no longer available. Please get in touch if you have any information about this resource.","abbreviation":"EThOS UKETD_DC","support_links":[{"url":"https://twitter.com/EThOSBL","name":"EThOSBL","type":"Twitter"}],"year_creation":2017},"legacy_ids":["bsg-001489","bsg-s001489"],"name":"FAIRsharing record for: UK Electronic Theses and Dissertations Metadata Schema","abbreviation":"EThOS UKETD_DC","url":"https://fairsharing.org/10.25504/FAIRsharing.3be57c","doi":"10.25504/FAIRsharing.3be57c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Electronic Theses Online Service UKETD_DC Schema (EThOS UKETD_DC) is built on the application profiile of the same name that describes the core set of metadata for UK theses. It was developed to enable all theses to be described in a clear and consistent way, allowing users to find the theses they seek and institutions to share the data between repositories where required. Although this resource is available at the stated homepage, the homepage seems to be a third-party site hosting it because its original homepage is no longer available. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management"],"domains":["Citation","Bibliography","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":8922,"fairsharing_record_id":1410,"organisation_id":3412,"relation":"maintains","created_at":"2022-03-04T16:28:52.066Z","updated_at":"2024-03-25T20:45:54.389Z","grant_id":null,"is_lead":true,"saved_state":{"id":3412,"name":"The British Library","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1411","type":"fairsharing_records","attributes":{"created_at":"2021-06-24T09:19:33.000Z","updated_at":"2021-12-02T11:46:32.964Z","metadata":{"name":"Simple Standard for Sharing Ontology Mappings","status":"in_development","contacts":[{"contact_name":"Nicolas Matentzoglu","contact_email":"nicolas.matentzoglu@gmail.com","contact_orcid":"0000-0002-7356-1779"},{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":"0000-0002-6601-2165"},{"contact_name":"Nomi Harris","contact_email":"nlharris@lbl.gov","contact_orcid":"0000-0001-6315-3707"}],"homepage":"http://w3id.org/sssom/SSSOM.md","citations":[],"identifier":1411,"description":"Term mappings are of fundamental importance to interoperability, yet often lack metadata to be correctly interpreted and applied in contexts such as data integration or transformation. For example, are two terms equivalent or merely associated? Are they narrow or broad matches? etc. Such relationships between the mapped terms often remain unclear, which makes them very hard to use in scenarios that require a high degree of precision (such as diagnostics or risk prediction). Furthermore, the lack of metadata on the methods and rules involved in producing the mappings and confidence estimations regarding their correctness makes it hard to combine and reconcile mappings, especially curated and automated ones. Working as part of a collaborative group, we have developed a Simple Standard for Sharing Ontology Mappings (SSSOM) which addresses these problems by introducing a simple vocabulary for mapping metadata and defining an easy to use table-based format that can be integrated into regular data science pipelines without the need to parse or query ontologies defining a set of exports formats such as RDF/XML and JSON-LD and SQL tables. SSSOM is defined using a LinkML schema (https://linkml.github.io), and defines metadata for many key features of term mappings and mapping sets, such as mapping confidence, versioning, mapping tools and match types (lexical, logical, human-curated). The working draft of the SSSOM specification can be found at http://w3id.org/sssom/SSSOM.md. An associated toolkit is being developed at https://github.com/mapping-commons/sssom-py.","abbreviation":"SSSOM","year_creation":2020,"associated_tools":[{"url":"https://github.com/mapping-commons/sssom-py","name":"sssom-py alpha"}]},"legacy_ids":["bsg-001618","bsg-s001618"],"name":"FAIRsharing record for: Simple Standard for Sharing Ontology Mappings","abbreviation":"SSSOM","url":"https://fairsharing.org/fairsharing_records/1411","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Term mappings are of fundamental importance to interoperability, yet often lack metadata to be correctly interpreted and applied in contexts such as data integration or transformation. For example, are two terms equivalent or merely associated? Are they narrow or broad matches? etc. Such relationships between the mapped terms often remain unclear, which makes them very hard to use in scenarios that require a high degree of precision (such as diagnostics or risk prediction). Furthermore, the lack of metadata on the methods and rules involved in producing the mappings and confidence estimations regarding their correctness makes it hard to combine and reconcile mappings, especially curated and automated ones. Working as part of a collaborative group, we have developed a Simple Standard for Sharing Ontology Mappings (SSSOM) which addresses these problems by introducing a simple vocabulary for mapping metadata and defining an easy to use table-based format that can be integrated into regular data science pipelines without the need to parse or query ontologies defining a set of exports formats such as RDF/XML and JSON-LD and SQL tables. SSSOM is defined using a LinkML schema (https://linkml.github.io), and defines metadata for many key features of term mappings and mapping sets, such as mapping confidence, versioning, mapping tools and match types (lexical, logical, human-curated). The working draft of the SSSOM specification can be found at http://w3id.org/sssom/SSSOM.md. An associated toolkit is being developed at https://github.com/mapping-commons/sssom-py.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":["Data identity and mapping"],"taxonomies":["Not applicable"],"user_defined_tags":["ontology mapping"],"countries":["Greece","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7402,"fairsharing_record_id":1411,"organisation_id":2542,"relation":"maintains","created_at":"2021-09-30T09:28:36.568Z","updated_at":"2021-09-30T09:28:36.568Z","grant_id":null,"is_lead":false,"saved_state":{"id":2542,"name":"Semanticly Ltd","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7404,"fairsharing_record_id":1411,"organisation_id":529,"relation":"undefined","created_at":"2021-09-30T09:28:36.650Z","updated_at":"2021-09-30T09:28:36.650Z","grant_id":null,"is_lead":false,"saved_state":{"id":529,"name":"City, University of London","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":7403,"fairsharing_record_id":1411,"organisation_id":2271,"relation":"funds","created_at":"2021-09-30T09:28:36.606Z","updated_at":"2021-09-30T09:29:19.036Z","grant_id":192,"is_lead":false,"saved_state":{"id":2271,"name":"Oregon State University, Corvallis, OR, United States","grant":"1RM1HG010860-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7401,"fairsharing_record_id":1411,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:36.526Z","updated_at":"2021-09-30T09:28:36.526Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7405,"fairsharing_record_id":1411,"organisation_id":2625,"relation":"undefined","created_at":"2021-09-30T09:28:36.670Z","updated_at":"2021-09-30T09:28:36.670Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":7406,"fairsharing_record_id":1411,"organisation_id":2804,"relation":"maintains","created_at":"2021-09-30T09:28:36.701Z","updated_at":"2021-09-30T09:28:36.701Z","grant_id":null,"is_lead":true,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7407,"fairsharing_record_id":1411,"organisation_id":202,"relation":"maintains","created_at":"2021-09-30T09:28:36.739Z","updated_at":"2021-09-30T09:28:36.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":202,"name":"Berkeley BOP (BBOP), Lawrence Berkeley National Labs (LBNL), Berkeley, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1412","type":"fairsharing_records","attributes":{"created_at":"2020-07-21T07:46:22.000Z","updated_at":"2021-11-24T13:16:35.068Z","metadata":{"doi":"10.25504/FAIRsharing.68b03f","name":"Standard for the Exchange of Earthquake Data","status":"ready","contacts":[{"contact_name":"Tim Ahern","contact_email":"tim@iris.washington.edu"}],"homepage":"http://www.fdsn.org/pdf/SEEDManual_V2.4.pdf","identifier":1412,"description":"The Standard for the Exchange of Earthquake Data (SEED) is a data format intended primarily for the archival and exchange of seismological time series data and related metadata. The format is maintained by the International Federation of Digital Seismograph Networks (FDSN). Originally designed in the late 1980s, the format has been enhanced and refined a number of times and remains in widespread use.","abbreviation":"SEED","support_links":[{"url":"https://ds.iris.edu/ds/nodes/dmc/data/formats/seed/","name":"Incorporated Research Institutions for Seismology (IRIS) Documentation","type":"Help documentation"}],"year_creation":1980},"legacy_ids":["bsg-001513","bsg-s001513"],"name":"FAIRsharing record for: Standard for the Exchange of Earthquake Data","abbreviation":"SEED","url":"https://fairsharing.org/10.25504/FAIRsharing.68b03f","doi":"10.25504/FAIRsharing.68b03f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Standard for the Exchange of Earthquake Data (SEED) is a data format intended primarily for the archival and exchange of seismological time series data and related metadata. The format is maintained by the International Federation of Digital Seismograph Networks (FDSN). Originally designed in the late 1980s, the format has been enhanced and refined a number of times and remains in widespread use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Earthquake","Seismology"],"countries":["Netherlands","United States"],"publications":[],"licence_links":[],"grants":[{"id":7408,"fairsharing_record_id":1412,"organisation_id":1488,"relation":"maintains","created_at":"2021-09-30T09:28:36.772Z","updated_at":"2021-09-30T09:28:36.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":1488,"name":"International Federation of Digital Seismograph Networks (FDSN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1413","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:57:15.000Z","updated_at":"2021-11-24T13:19:50.236Z","metadata":{"doi":"10.25504/FAIRsharing.TS3gpY","name":"CodeMeta","status":"ready","homepage":"https://codemeta.github.io/","identifier":1413,"description":"CodeMeta contributors are creating a minimal metadata schema for science software and code, in JSON and XML. The goal of CodeMeta is to create a concept vocabulary that can be used to standardize the exchange of software metadata across repositories and organizations.","abbreviation":"CodeMeta","year_creation":2016},"legacy_ids":["bsg-001494","bsg-s001494"],"name":"FAIRsharing record for: CodeMeta","abbreviation":"CodeMeta","url":"https://fairsharing.org/10.25504/FAIRsharing.TS3gpY","doi":"10.25504/FAIRsharing.TS3gpY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CodeMeta contributors are creating a minimal metadata schema for science software and code, in JSON and XML. The goal of CodeMeta is to create a concept vocabulary that can be used to standardize the exchange of software metadata across repositories and organizations.","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13321}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Software Engineering"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[{"id":2990,"pubmed_id":null,"title":"CodeMeta: an exchange schema for software metadata. Version 2.0","year":2017,"url":"http://doi.org/10.5063/schema/codemeta-2.0","authors":"Matthew B. Jones, Carl Boettiger, Abby Cabunoc Mayes, Arfon Smith, Peter Slaughter, Kyle Niemeyer, Yolanda Gil, Martin Fenner, Krzysztof Nowak, Mark Hahnel, Luke Coy, Alice Allen, Mercè Crosas, et. al","journal":"KNB Data Repository","doi":"10.5063/schema/codemeta-2.0","created_at":"2021-09-30T08:28:08.624Z","updated_at":"2021-09-30T08:28:08.624Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1376,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1406","type":"fairsharing_records","attributes":{"created_at":"2020-06-25T15:21:04.000Z","updated_at":"2022-07-20T12:51:04.504Z","metadata":{"doi":"10.25504/FAIRsharing.oaxyMK","name":"Cochrane Patient/Population/Problem Intervention Comparison Outcome Ontology","status":"ready","contacts":[{"contact_name":"Chris Mavergames","contact_email":"cmavergames@cochrane.org"}],"homepage":"https://data.cochrane.org/ontologies/pico/index-en.html","identifier":1406,"description":"The PICO ontology provides a model for describing evidence in a consistent way focusing on complex populations, detailed interventions and their comparisons as well as the outcomes considered. The PICO ontology was originally designed to model the questions asked and answered in Cochrane's systematic reviews. The PICO model can be used to describe healthcare evidence as well as used in other evidence-based domains. It aims to provide a model for describing evidence in a consistent way.","abbreviation":"PICO","support_links":[{"url":"https://data.cochrane.org/ontologies/","name":"About the Cochrane Ontologies","type":"Help documentation"},{"url":"https://linkeddata.cochrane.org/pico-ontology","name":"About PICO","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001501","bsg-s001501"],"name":"FAIRsharing record for: Cochrane Patient/Population/Problem Intervention Comparison Outcome Ontology","abbreviation":"PICO","url":"https://fairsharing.org/10.25504/FAIRsharing.oaxyMK","doi":"10.25504/FAIRsharing.oaxyMK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PICO ontology provides a model for describing evidence in a consistent way focusing on complex populations, detailed interventions and their comparisons as well as the outcomes considered. The PICO ontology was originally designed to model the questions asked and answered in Cochrane's systematic reviews. The PICO model can be used to describe healthcare evidence as well as used in other evidence-based domains. It aims to provide a model for describing evidence in a consistent way.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17348}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Clinical Studies","Health Science","Medical Informatics"],"domains":["Evidence"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1975,"relation":"undefined"}],"grants":[{"id":7392,"fairsharing_record_id":1406,"organisation_id":544,"relation":"maintains","created_at":"2021-09-30T09:28:36.076Z","updated_at":"2021-09-30T09:28:36.076Z","grant_id":null,"is_lead":true,"saved_state":{"id":544,"name":"Cochrane, London, United Kingdom","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1407","type":"fairsharing_records","attributes":{"created_at":"2020-07-06T13:10:43.000Z","updated_at":"2022-07-20T12:24:59.435Z","metadata":{"doi":"10.25504/FAIRsharing.rkRb4s","name":"Citation Style Language XML Schema","status":"ready","homepage":"https://docs.citationstyles.org/en/stable/specification.html","identifier":1407,"description":"The Citation Style Language (CSL) is an XML-based format to describe the formatting of citations, notes and bibliographies, offering: an open format, compact styles, support for style requirements, automatic style localization, infrastructure for style distribution and updating, and many freely available styles.","abbreviation":"CSL Schema","support_links":[{"url":"https://citationstyles.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"https://docs.citationstyles.org/en/stable/primer.html","name":"CSL Schema Primer","type":"Help documentation"},{"url":"https://github.com/citation-style-language/schema","name":"GitHub Project","type":"Github"},{"url":"https://citationstyles.org/developers/","name":"CSL Schema (for Developers)","type":"Help documentation"},{"url":"https://citationstyles.org/about/","name":"About","type":"Help documentation"},{"url":"https://twitter.com/csl_styles","name":"@csl_styles","type":"Twitter"}],"year_creation":2009},"legacy_ids":["bsg-001506","bsg-s001506"],"name":"FAIRsharing record for: Citation Style Language XML Schema","abbreviation":"CSL Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.rkRb4s","doi":"10.25504/FAIRsharing.rkRb4s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citation Style Language (CSL) is an XML-based format to describe the formatting of citations, notes and bibliographies, offering: an open format, compact styles, support for style requirements, automatic style localization, infrastructure for style distribution and updating, and many freely available styles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1994,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1993,"relation":"undefined"}],"grants":[{"id":7393,"fairsharing_record_id":1407,"organisation_id":2616,"relation":"funds","created_at":"2021-09-30T09:28:36.118Z","updated_at":"2021-09-30T09:28:36.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2616,"name":"Springer Nature","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7394,"fairsharing_record_id":1407,"organisation_id":1817,"relation":"funds","created_at":"2021-09-30T09:28:36.159Z","updated_at":"2021-09-30T09:28:36.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1817,"name":"Mendeley, London, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7395,"fairsharing_record_id":1407,"organisation_id":524,"relation":"maintains","created_at":"2021-09-30T09:28:36.197Z","updated_at":"2021-09-30T09:28:36.197Z","grant_id":null,"is_lead":true,"saved_state":{"id":524,"name":"Citation Style Language Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7396,"fairsharing_record_id":1407,"organisation_id":850,"relation":"funds","created_at":"2021-09-30T09:28:36.230Z","updated_at":"2021-09-30T09:28:36.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7397,"fairsharing_record_id":1407,"organisation_id":2413,"relation":"funds","created_at":"2021-09-30T09:28:36.318Z","updated_at":"2021-09-30T09:28:36.318Z","grant_id":null,"is_lead":false,"saved_state":{"id":2413,"name":"RefWorks, ProQuest LLC.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1408","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:51:50.000Z","updated_at":"2021-11-24T13:16:34.998Z","metadata":{"doi":"10.25504/FAIRsharing.9fN9gy","name":"ASCII File Format Guidelines for Earth Science Data","status":"ready","homepage":"https://earthdata.nasa.gov/esdis/eso/standards-and-references/ascii-file-format-guidelines-for-earth-science-data","identifier":1408,"description":"The ASCII File Format Guidelines for Earth Science Data recommend practices for formatting and describing ASCII encoded data files, such that the files will be self-describing and adhere to common conventions. These guidelines address a number of common-sense practices that can make data files encoded in ASCII more widely useful.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001493","bsg-s001493"],"name":"FAIRsharing record for: ASCII File Format Guidelines for Earth Science Data","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9fN9gy","doi":"10.25504/FAIRsharing.9fN9gy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ASCII File Format Guidelines for Earth Science Data recommend practices for formatting and describing ASCII encoded data files, such that the files will be self-describing and adhere to common conventions. These guidelines address a number of common-sense practices that can make data files encoded in ASCII more widely useful.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1346,"relation":"undefined"}],"grants":[{"id":7398,"fairsharing_record_id":1408,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:36.360Z","updated_at":"2021-09-30T09:28:36.360Z","grant_id":null,"is_lead":true,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1409","type":"fairsharing_records","attributes":{"created_at":"2020-07-17T22:20:35.000Z","updated_at":"2022-07-20T12:26:18.218Z","metadata":{"doi":"10.25504/FAIRsharing.tXtp2S","name":"Extended Knowledge Organization System","status":"ready","contacts":[{"contact_name":"DDI RDF Google Group","contact_email":"ddi-rdf-vocabulary@googlegroups.com"}],"homepage":"https://ddialliance.org/Specification/RDF/XKOS","identifier":1409,"description":"Extended Knowledge Organization System (XKOS) extends the Simple Knowledge Organization System (SKOS) for statistical classifications. It does so in two main directions. First, it defines a number of terms that enable the representation of statistical classifications with their structure and textual properties, as well as the relations between classifications. Second, it refines SKOS semantic properties to allow the use of more specific relations between concepts. Those specific relations can be used for the representation of classifications or for any other case where SKOS is employed. XKOS adds the extensions that are desirable to meet the requirements of the statistical community.","abbreviation":"XKOS","support_links":[{"url":"https://ddialliance.org/about/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://github.com/linked-statistics/xkos/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://ddialliance.org/about/about-the-alliance","name":"About","type":"Help documentation"},{"url":"https://github.com/linked-statistics/xkos","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"}],"year_creation":2019},"legacy_ids":["bsg-001502","bsg-s001502"],"name":"FAIRsharing record for: Extended Knowledge Organization System","abbreviation":"XKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.tXtp2S","doi":"10.25504/FAIRsharing.tXtp2S","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Extended Knowledge Organization System (XKOS) extends the Simple Knowledge Organization System (SKOS) for statistical classifications. It does so in two main directions. First, it defines a number of terms that enable the representation of statistical classifications with their structure and textual properties, as well as the relations between classifications. Second, it refines SKOS semantic properties to allow the use of more specific relations between concepts. Those specific relations can be used for the representation of classifications or for any other case where SKOS is employed. XKOS adds the extensions that are desirable to meet the requirements of the statistical community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Resource collection","Data model","Classification","Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3012,"pubmed_id":null,"title":"eXtended Knowledge Organization System (XKOS)","year":2013,"url":"http://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.40/2013/WP10.pdf","authors":"Dan Gillman, Franck Cotton, and Yves Jaques","journal":"European Commission Statistical Office of the European Union (EUROSTAT), Organisation for Economic Cooperation and Development (OECD) Statistics Directorate, Work Session on Statistical Metadata","doi":null,"created_at":"2021-09-30T08:28:11.333Z","updated_at":"2021-09-30T08:28:11.333Z"},{"id":3013,"pubmed_id":null,"title":"XKOS: An SKOS Extension for Statistical Classifications","year":2013,"url":"https://ddialliance.org/sites/default/files/CPS_XKOS_thomas-1.pdf","authors":"Frank Cotton, Richard Cyganiak, R.T.A.M. Grim, Daniel W. Gillman, Yves Jaques, and Wendy Thomas","journal":"Proceedings of the 59th World Statistics Congress of the International Statistical Institute","doi":null,"created_at":"2021-09-30T08:28:11.450Z","updated_at":"2021-09-30T08:28:11.450Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2051,"relation":"undefined"}],"grants":[{"id":7399,"fairsharing_record_id":1409,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:28:36.401Z","updated_at":"2021-09-30T09:28:36.401Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1417","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:28.359Z","metadata":{"doi":"10.25504/FAIRsharing.6xq0ee","name":"Gene Ontology","status":"ready","contacts":[{"contact_name":"Suzi Aleksander","contact_email":"suzia@stanford.edu","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://www.geneontology.org","citations":[{"doi":"10.1038/75556","pubmed_id":10802651,"publication_id":2552},{"doi":"10.1093/nar/gkaa1113","pubmed_id":null,"publication_id":3351}],"identifier":1417,"description":"The Gene Ontology (GO) is a structured vocabulary for use by the research community for the annotation of genes, gene products and sequences. The GO defines concepts/classes used to describe gene function and relationships between these concepts.","abbreviation":"GO","support_links":[{"url":"help@geneontology.org","name":"GO Helpdesk email","type":"Support email"},{"url":"http://geneontology.org/docs/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://help.geneontology.org","name":"Helpdesk","type":"Help documentation"},{"url":"https://mailman.stanford.edu/mailman/listinfo/go-friends","name":"GO friends mailing list","type":"Mailing list"},{"url":"https://mailman.stanford.edu/mailman/listinfo/go-discuss","name":"GO discussion mailing list","type":"Mailing list"},{"url":"http://geneontology.org/","name":"Gene Ontology Resource","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/go-quick-tour","name":"Go quick tour","type":"TeSS links to training materials"},{"url":"https://twitter.com/news4go","type":"Twitter"}],"year_creation":1998,"associated_tools":[{"url":"http://amigo.geneontology.org","name":"AmiGO 2.5.x"},{"url":"http://wiki.geneontology.org/index.php/Noctua","name":"Noctua"},{"url":"http://geneontology.org/go-cam","name":"GO-CAM"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GO","name":"GO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/go.html","name":"go","portal":"OBO Foundry"},{"url":"https://www.re3data.org/repository/r3d100014165","name":"re3data:r3d100014165","portal":"re3data"}]},"legacy_ids":["bsg-000089","bsg-s000089"],"name":"FAIRsharing record for: Gene Ontology","abbreviation":"GO","url":"https://fairsharing.org/10.25504/FAIRsharing.6xq0ee","doi":"10.25504/FAIRsharing.6xq0ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene Ontology (GO) is a structured vocabulary for use by the research community for the annotation of genes, gene products and sequences. The GO defines concepts/classes used to describe gene function and relationships between these concepts.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18244},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10874},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11046},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11155},{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11243},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11979},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12211},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12426},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16201},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16744}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Gene Ontology enrichment","Annotation","Sequence annotation","Gene functional annotation","Molecular function","Cellular component","Biological process","Data model","Protein","Transcript","Gene","Knowledge representation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"},{"id":1034,"pubmed_id":22102568,"title":"The Gene Ontology: enhancements for 2011.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1028","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1028","created_at":"2021-09-30T08:24:14.488Z","updated_at":"2021-09-30T11:28:57.193Z"},{"id":1085,"pubmed_id":19920128,"title":"The Gene Ontology in 2010: extensions and refinements.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1018","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1018","created_at":"2021-09-30T08:24:20.203Z","updated_at":"2021-09-30T11:28:58.186Z"},{"id":2013,"pubmed_id":25428369,"title":"Gene Ontology Consortium: going forward.","year":2014,"url":"http://doi.org/10.1093/nar/gku1179","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1179","created_at":"2021-09-30T08:26:06.796Z","updated_at":"2021-09-30T11:29:10.010Z"},{"id":2167,"pubmed_id":23161678,"title":"Gene Ontology annotations and resources.","year":2012,"url":"http://doi.org/10.1093/nar/gks1050","authors":"Blake JA,Dolan M,Drabkin H,Hill DP,Li N,Sitnikov D,Bridges S,Burgess S,Buza T,McCarthy F,Peddinti D,Pillai L,Carbon S,Dietze H,Ireland A,Lewis SE,Mungall CJ,Gaudet P,Chrisholm RL,Fey P,Kibbe WA,Basu S,Siegele DA,McIntosh BK,Renfro DP,Zweifel AE,Hu JC,Brown NH,Tweedie S,Alam-Faruque Y,Apweiler R,Auchinchloss A,Axelsen K,Bely B,Blatter M-,Bonilla C,Bouguerleret L,Boutet E,Breuza L,Bridge A,Chan WM,Chavali G,Coudert E,Dimmer E,Estreicher A,Famiglietti L,Feuermann M,Gos A,Gruaz-Gumowski N,Hieta R,Hinz C,Hulo C,Huntley R,James J,Jungo F,Keller G,Laiho K,Legge D,Lemercier P,Lieberherr D,Magrane M,Martin MJ,Masson P,Mutowo-Muellenet P,O'Donovan C,Pedruzzi I,Pichler K,Poggioli D,Porras Millan P,Poux S,Rivoire C,Roechert B,Sawford T,Schneider M,Stutz A,Sundaram S,Tognolli M,Xenarios I,Foulgar R,Lomax J,Roncaglia P,Khodiyar VK,Lovering RC,Talmud PJ,Chibucos M,Giglio MG,Chang H-,Hunter S,McAnulla C,Mitchell A,Sangrador A,Stephan R,Harris MA,Oliver SG,Rutherford K,Wood V,Bahler J,Lock A,Kersey PJ,McDowall DM,Staines DM,Dwinell M,Shimoyama M,Laulederkind S,Hayman T,Wang S-,Petri V,Lowry T,D'Eustachio P,Matthews L,Balakrishnan R,Binkley G,Cherry JM,Costanzo MC,Dwight SS,Engel SR,Fisk DG,Hitz BC,Hong EL,Karra K,Miyasato SR,Nash RS,Park J,Skrzypek MS,Weng S,Wong ED,Berardini TZ,Huala E,Mi H,Thomas PD,Chan J,Kishore R,Sternberg P,Van Auken K,Howe D,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1050","created_at":"2021-09-30T08:26:24.239Z","updated_at":"2021-09-30T11:29:30.513Z"},{"id":2552,"pubmed_id":10802651,"title":"Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.","year":2000,"url":"http://doi.org/10.1038/75556","authors":"Ashburner M,Ball CA,Blake JA,Botstein D,Butler H,Cherry JM,Davis AP,Dolinski K,Dwight SS,Eppig JT,Harris MA,Hill DP,Issel-Tarver L,Kasarskis A,Lewis S,Matese JC,Richardson JE,Ringwald M,Rubin GM,Sherlock G","journal":"Nat Genet","doi":"10.1038/75556","created_at":"2021-09-30T08:27:13.018Z","updated_at":"2021-09-30T08:27:13.018Z"},{"id":2564,"pubmed_id":14681407,"title":"The Gene Ontology (GO) database and informatics resource.","year":2003,"url":"http://doi.org/10.1093/nar/gkh036","authors":"Harris MA,Clark J,Ireland A,Lomax J,Ashburner M,Foulger R,Eilbeck K,Lewis S,Marshall B,Mungall C,Richter J,Rubin GM,Blake JA,Bult C,Dolan M,Drabkin H,Eppig JT,Hill DP,Ni L,Ringwald M,Balakrishnan R,Cherry JM,Christie KR,Costanzo MC, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh036","created_at":"2021-09-30T08:27:14.444Z","updated_at":"2021-09-30T11:29:39.413Z"},{"id":3078,"pubmed_id":23895341,"title":"Dovetailing biology and chemistry: integrating the Gene Ontology with the ChEBI chemical ontology.","year":2013,"url":"http://doi.org/10.1186/1471-2164-14-513","authors":"Hill DP,Adams N,Bada M,Batchelor C,Berardini TZ,Dietze H,Drabkin HJ,Ennis M,Foulger RE,Harris MA,Hastings J,Kale NS,de Matos P,Mungall CJ,Owen G,Roncaglia P,Steinbeck C,Turner S,Lomax J","journal":"BMC Genomics","doi":"10.1186/1471-2164-14-513","created_at":"2021-09-30T08:28:19.242Z","updated_at":"2021-09-30T08:28:19.242Z"},{"id":3351,"pubmed_id":null,"title":"The Gene Ontology resource: enriching a GOld mine","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa1113","authors":"undefined, undefined; Carbon, Seth; Douglass, Eric; Good, Benjamin M; Unni, Deepak R; Harris, Nomi L; Mungall, Christopher J; Basu, Siddartha; Chisholm, Rex L; Dodson, Robert J; Hartline, Eric; Fey, Petra; Thomas, Paul D; Albou, Laurent-Philippe; Ebert, Dustin; Kesling, Michael J; Mi, Huaiyu; Muruganujan, Anushya; Huang, Xiaosong; Mushayahama, Tremayne; LaBonte, Sandra A; Siegele, Deborah A; Antonazzo, Giulia; Attrill, Helen; Brown, Nick H; Garapati, Phani; Marygold, Steven J; Trovisco, Vitor; dos Santos, Gil; Falls, Kathleen; Tabone, Christopher; Zhou, Pinglei; Goodman, Joshua L; Strelets, Victor B; Thurmond, Jim; Garmiri, Penelope; Ishtiaq, Rizwan; Rodríguez-López, Milagros; Acencio, Marcio L; Kuiper, Martin; Lægreid, Astrid; Logie, Colin; Lovering, Ruth C; Kramarz, Barbara; Saverimuttu, Shirin C C; Pinheiro, Sandra M; Gunn, Heather; Su, Renzhi; Thurlow, Katherine E; Chibucos, Marcus; Giglio, Michelle; Nadendla, Suvarna; Munro, James; Jackson, Rebecca; Duesbury, Margaret J; Del-Toro, Noemi; Meldal, Birgit H M; Paneerselvam, Kalpana; Perfetto, Livia; Porras, Pablo; Orchard, Sandra; Shrivastava, Anjali; Chang, Hsin-Yu; Finn, Robert Daniel; Mitchell, Alexander Lawson; Rawlings, Neil David; Richardson, Lorna; Sangrador-Vegas, Amaia; Blake, Judith A; Christie, Karen R; Dolan, Mary E; Drabkin, Harold J; Hill, David P; Ni, Li; Sitnikov, Dmitry M; Harris, Midori A; Oliver, Stephen G; Rutherford, Kim; Wood, Valerie; Hayles, Jaqueline; Bähler, Jürg; Bolton, Elizabeth R; De Pons, Jeffery L; Dwinell, Melinda R; Hayman, G Thomas; Kaldunski, Mary L; Kwitek, Anne E; Laulederkind, Stanley J F; Plasterer, Cody; Tutaj, Marek A; Vedi, Mahima; Wang, Shur-Jen; D’Eustachio, Peter; Matthews, Lisa; Balhoff, James P; Aleksander, Suzi A; Alexander, Michael J; Cherry, J Michael; Engel, Stacia R; Gondwe, Felix; Karra, Kalpana; Miyasato, Stuart R; Nash, Robert S; Simison, Matt; Skrzypek, Marek S; Weng, Shuai; Wong, Edith D; Feuermann, Marc; Gaudet, Pascale; Morgat, Anne; Bakker, Erica; Berardini, Tanya Z; Reiser, Leonore; Subramaniam, Shabari; Huala, Eva; Arighi, Cecilia N; Auchincloss, Andrea; Axelsen, Kristian; Argoud-Puy, Ghislaine; Bateman, Alex; Blatter, Marie-Claude; Boutet, Emmanuel; Bowler, Emily; Breuza, Lionel; Bridge, Alan; Britto, Ramona; Bye-A-Jee, Hema; Casas, Cristina Casals; Coudert, Elisabeth; Denny, Paul; Estreicher, Anne; Famiglietti, Maria Livia; Georghiou, George; Gos, Arnaud; Gruaz-Gumowski, Nadine; Hatton-Ellis, Emma; Hulo, Chantal; Ignatchenko, Alexandr; Jungo, Florence; Laiho, Kati; Le Mercier, Philippe; Lieberherr, Damien; Lock, Antonia; Lussi, Yvonne; MacDougall, Alistair; Magrane, Michele; Martin, Maria J; Masson, Patrick; Natale, Darren A; Hyka-Nouspikel, Nevila; Orchard, Sandra; Pedruzzi, Ivo; Pourcel, Lucille; Poux, Sylvain; Pundir, Sangya; Rivoire, Catherine; Speretta, Elena; Sundaram, Shyamala; Tyagi, Nidhi; Warner, Kate; Zaru, Rossana; Wu, Cathy H; Diehl, Alexander D; Chan, Juancarlos N; Grove, Christian; Lee, Raymond Y N; Muller, Hans-Michael; Raciti, Daniela; Van Auken, Kimberly; Sternberg, Paul W; Berriman, Matthew; Paulini, Michael; Howe, Kevin; Gao, Sibyl; Wright, Adam; Stein, Lincoln; Howe, Douglas G; Toro, Sabrina; Westerfield, Monte; Jaiswal, Pankaj; Cooper, Laurel; Elser, Justin; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1113","created_at":"2022-05-09T07:49:44.330Z","updated_at":"2022-05-09T07:49:44.330Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2206,"relation":"undefined"}],"grants":[{"id":7431,"fairsharing_record_id":1417,"organisation_id":3125,"relation":"maintains","created_at":"2021-09-30T09:28:37.551Z","updated_at":"2021-09-30T09:28:37.551Z","grant_id":null,"is_lead":false,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7430,"fairsharing_record_id":1417,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:28:37.513Z","updated_at":"2021-09-30T09:28:37.513Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7432,"fairsharing_record_id":1417,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:37.587Z","updated_at":"2021-09-30T09:28:37.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7434,"fairsharing_record_id":1417,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:37.658Z","updated_at":"2021-09-30T09:29:48.618Z","grant_id":414,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"2U41HG002273-17","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8195,"fairsharing_record_id":1417,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:27.178Z","updated_at":"2021-09-30T09:31:27.259Z","grant_id":1175,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U41HG002273-14","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11546,"fairsharing_record_id":1417,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:13.856Z","updated_at":"2024-03-21T13:58:28.179Z","grant_id":37,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54-HG004028","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBY0k9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--17999ec75f811e894e6a645034077964b591019b/gologo.png?disposition=inline","exhaustive_licences":false}},{"id":"1424","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2024-05-09T14:40:16.175Z","metadata":{"doi":"10.25504/FAIRsharing.9j4wh2","name":"Chemical Methods Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"batchelorc@rsc.org"}],"homepage":"https://github.com/rsc-ontologies/rsc-cmo","citations":[],"identifier":1424,"description":"CHMO, the chemical methods ontology, describes methods used to collect data in chemical experiments, such as mass spectrometry and electron microscopy; prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis; and synthesise materials such as epitaxy and continuous vapour deposition. It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns. It is intended to be complementary to the Ontology for Biomedical Investigations (OBI).","abbreviation":"CHMO","support_links":[{"url":"https://github.com/rsc-ontologies/rsc-cmo/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHMO","name":"CHMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/chmo.html","name":"chmo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000994","bsg-s000994"],"name":"FAIRsharing record for: Chemical Methods Ontology","abbreviation":"CHMO","url":"https://fairsharing.org/10.25504/FAIRsharing.9j4wh2","doi":"10.25504/FAIRsharing.9j4wh2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CHMO, the chemical methods ontology, describes methods used to collect data in chemical experiments, such as mass spectrometry and electron microscopy; prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis; and synthesise materials such as epitaxy and continuous vapour deposition. It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns. It is intended to be complementary to the Ontology for Biomedical Investigations (OBI).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12120}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry"],"domains":["Chromatography","Electron microscopy","Assay","Mass spectrometry assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2190,"relation":"undefined"}],"grants":[{"id":7441,"fairsharing_record_id":1424,"organisation_id":2467,"relation":"maintains","created_at":"2021-09-30T09:28:37.840Z","updated_at":"2021-09-30T09:28:37.840Z","grant_id":null,"is_lead":true,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1425","type":"fairsharing_records","attributes":{"created_at":"2020-10-31T17:14:13.000Z","updated_at":"2024-03-26T17:11:39.454Z","metadata":{"doi":"10.25504/FAIRsharing.gB7jed","name":"Core Scientific Dataset Model","status":"ready","contacts":[{"contact_name":"Philip Grandinetti","contact_email":"grandinetti.1@osu.edu","contact_orcid":"0000-0003-0102-316X"}],"homepage":"https://csdmpy.readthedocs.io","citations":[{"doi":"10.1371/journal.pone.0225953","publication_id":3064}],"identifier":1425,"description":"The Core Scientific Dataset (CSD) model with JavaScript Object Notation (JSON) serialization is a lightweight, portable, and versatile standard for intra- and interdisciplinary scientific data exchange. It can also hold correlated datasets assuming the different physical quantities (dependent variables) are sampled on the same orthogonal grid of independent variables. The model encapsulates the dependent variables’ sampled data values and the minimum metadata needed to accurately represent this data in an appropriate coordinate system of independent variables. The CSD model can serve as a re-usable building block in the development of more sophisticated portable scientific dataset file standards.","abbreviation":"CSD Model","support_links":[{"url":"https://csdmpy.readthedocs.io/en/stable/CSD_model.html","name":"About the Model","type":"Help documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://csdmpy.readthedocs.io","name":"csdmpy python library"}]},"legacy_ids":["bsg-001537","bsg-s001537"],"name":"FAIRsharing record for: Core Scientific Dataset Model","abbreviation":"CSD Model","url":"https://fairsharing.org/10.25504/FAIRsharing.gB7jed","doi":"10.25504/FAIRsharing.gB7jed","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Core Scientific Dataset (CSD) model with JavaScript Object Notation (JSON) serialization is a lightweight, portable, and versatile standard for intra- and interdisciplinary scientific data exchange. It can also hold correlated datasets assuming the different physical quantities (dependent variables) are sampled on the same orthogonal grid of independent variables. The model encapsulates the dependent variables’ sampled data values and the minimum metadata needed to accurately represent this data in an appropriate coordinate system of independent variables. The CSD model can serve as a re-usable building block in the development of more sophisticated portable scientific dataset file standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Astrophysics and Astronomy","Earth Science","Materials Science","Physics","Biology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Denmark","France","United States"],"publications":[{"id":3064,"pubmed_id":null,"title":"Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data","year":2020,"url":"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0225953","authors":"Deepansh Srivastava, Thomas Vosegaard, Dominique Massiot, Philip J. Grandinetti","journal":"PLOS ONE","doi":"10.1371/journal.pone.0225953","created_at":"2021-09-30T08:28:17.576Z","updated_at":"2021-09-30T08:28:17.576Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2151,"relation":"undefined"}],"grants":[{"id":7442,"fairsharing_record_id":1425,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:37.865Z","updated_at":"2021-09-30T09:29:19.826Z","grant_id":198,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"Research Infrastructures Grant 731005","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7443,"fairsharing_record_id":1425,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:37.890Z","updated_at":"2021-09-30T09:30:46.574Z","grant_id":864,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DIBBS OAC 1640899","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7897,"fairsharing_record_id":1425,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:29:33.025Z","updated_at":"2021-09-30T09:29:33.130Z","grant_id":296,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"H2020 Future and Emerging Technologies Grant 731475","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11633,"fairsharing_record_id":1425,"organisation_id":2236,"relation":"maintains","created_at":"2024-03-26T15:08:19.189Z","updated_at":"2024-03-26T15:08:19.189Z","grant_id":null,"is_lead":true,"saved_state":{"id":2236,"name":"Ohio State University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1426","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-14T18:56:06.096Z","metadata":{"doi":"10.25504/FAIRsharing.6mck","name":"Children's Health Exposure Analysis Resource","status":"ready","contacts":[{"contact_name":"Deborah L. McGuinness","contact_email":"dlm@cs.rpi.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/CHEAR","citations":[],"identifier":1426,"description":"Children's health and wellbeing are influenced by interactions between environmental and genetic factors. NIEHS is establishing an infrastructure, the Children's Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and data analyses that add or expand the inclusion of environmental exposures in children's health research. The goal of CHEAR is to provide tools so researchers can assess the full range of environmental exposures which may affect children's health. We anticipate that CHEAR will be used by children's health researchers conducting epidemiological or clinical studies that currently have limited consideration of environmental exposures, or those who have collected exposure data but seek more extensive analyses.","abbreviation":"CHEAR","support_links":[{"url":"pinhep@rpi.edu","name":"Paulo Pinheiro","type":"Support email"},{"url":"mccusj2@rpi.edu","name":"James McCusker","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEAR","name":"CHEAR","portal":"BioPortal"}]},"legacy_ids":["bsg-000744","bsg-s000744"],"name":"FAIRsharing record for: Children's Health Exposure Analysis Resource","abbreviation":"CHEAR","url":"https://fairsharing.org/10.25504/FAIRsharing.6mck","doi":"10.25504/FAIRsharing.6mck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Children's health and wellbeing are influenced by interactions between environmental and genetic factors. NIEHS is establishing an infrastructure, the Children's Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and data analyses that add or expand the inclusion of environmental exposures in children's health research. The goal of CHEAR is to provide tools so researchers can assess the full range of environmental exposures which may affect children's health. We anticipate that CHEAR will be used by children's health researchers conducting epidemiological or clinical studies that currently have limited consideration of environmental exposures, or those who have collected exposure data but seek more extensive analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Health Science","Pediatrics"],"domains":["Exposure"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10416,"fairsharing_record_id":1426,"organisation_id":2421,"relation":"undefined","created_at":"2023-03-14T18:55:57.042Z","updated_at":"2023-03-14T18:55:57.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":2421,"name":"Rensselaer Polytechnic Institute","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1414","type":"fairsharing_records","attributes":{"created_at":"2020-06-07T09:12:47.000Z","updated_at":"2022-07-20T12:46:54.787Z","metadata":{"doi":"10.25504/FAIRsharing.zpCPN7","name":"Minimum Information about a Molecular Interaction Causal Statement","status":"ready","contacts":[{"contact_name":"Vasundra Touré","contact_email":"vasundra.toure@ntnu.no","contact_orcid":"0000-0003-4639-4431"}],"homepage":"https://github.com/MI2CAST/MI2CAST","identifier":1414,"description":"The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST) guidelines describe the minimum and necessary information to depict causal interactions in molecular biology, as well as contextual details. The aim is to homogenize their representation for better usability and understanding, by making the data “FAIR” (Findable, Accessible, Interoperable and Reproducible). This checklist considers terms used in different formats (e.g., PSI-MITAB2.8, BEL, GO-CAM) and covers the full range of metadata that should ideally be annotated during the curation process to enrich the description of a molecular causal interaction. Complying with these guidelines should be considered as good practice for the annotation of causal statements to generate high quality statements.","abbreviation":"MI2CAST","support_links":[{"url":"https://github.com/MI2CAST/MI2CAST/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2020,"associated_tools":[{"url":"https://mi2cast.github.io/causalBuilder/","name":"causalBuilder 1.0"}]},"legacy_ids":["bsg-001483","bsg-s001483"],"name":"FAIRsharing record for: Minimum Information about a Molecular Interaction Causal Statement","abbreviation":"MI2CAST","url":"https://fairsharing.org/10.25504/FAIRsharing.zpCPN7","doi":"10.25504/FAIRsharing.zpCPN7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST) guidelines describe the minimum and necessary information to depict causal interactions in molecular biology, as well as contextual details. The aim is to homogenize their representation for better usability and understanding, by making the data “FAIR” (Findable, Accessible, Interoperable and Reproducible). This checklist considers terms used in different formats (e.g., PSI-MITAB2.8, BEL, GO-CAM) and covers the full range of metadata that should ideally be annotated during the curation process to enrich the description of a molecular causal interaction. Complying with these guidelines should be considered as good practice for the annotation of causal statements to generate high quality statements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Systems Medicine","Systems Biology"],"domains":["Molecular entity","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":3004,"pubmed_id":null,"title":"The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST)","year":2020,"url":"https://doi.org/10.1093/bioinformatics/btaa622","authors":"Touré et al.","journal":"Bioinformatics","doi":null,"created_at":"2021-09-30T08:28:10.356Z","updated_at":"2021-09-30T08:28:10.356Z"}],"licence_links":[],"grants":[{"id":7410,"fairsharing_record_id":1414,"organisation_id":2980,"relation":"maintains","created_at":"2021-09-30T09:28:36.829Z","updated_at":"2021-09-30T09:28:36.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":2980,"name":"Universit d'Aix-Marseille, Marseille, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7414,"fairsharing_record_id":1414,"organisation_id":863,"relation":"maintains","created_at":"2021-09-30T09:28:36.928Z","updated_at":"2021-09-30T09:28:36.928Z","grant_id":null,"is_lead":false,"saved_state":{"id":863,"name":"Enveda Therapeutics","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7416,"fairsharing_record_id":1414,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:36.978Z","updated_at":"2021-09-30T09:28:36.978Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7419,"fairsharing_record_id":1414,"organisation_id":3062,"relation":"maintains","created_at":"2021-09-30T09:28:37.077Z","updated_at":"2021-09-30T09:28:37.077Z","grant_id":null,"is_lead":false,"saved_state":{"id":3062,"name":"University of Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7422,"fairsharing_record_id":1414,"organisation_id":3125,"relation":"maintains","created_at":"2021-09-30T09:28:37.191Z","updated_at":"2021-09-30T09:28:37.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7409,"fairsharing_record_id":1414,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:28:36.805Z","updated_at":"2021-09-30T09:28:36.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7411,"fairsharing_record_id":1414,"organisation_id":3026,"relation":"maintains","created_at":"2021-09-30T09:28:36.854Z","updated_at":"2021-09-30T09:28:36.854Z","grant_id":null,"is_lead":false,"saved_state":{"id":3026,"name":"University of Calabria","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7412,"fairsharing_record_id":1414,"organisation_id":679,"relation":"maintains","created_at":"2021-09-30T09:28:36.878Z","updated_at":"2021-09-30T09:28:36.878Z","grant_id":null,"is_lead":false,"saved_state":{"id":679,"name":"Department of Biology, University of Rome Tor Vergata, Rome, Italy","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7413,"fairsharing_record_id":1414,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:36.905Z","updated_at":"2021-09-30T09:28:36.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7415,"fairsharing_record_id":1414,"organisation_id":725,"relation":"maintains","created_at":"2021-09-30T09:28:36.955Z","updated_at":"2021-09-30T09:28:36.955Z","grant_id":null,"is_lead":false,"saved_state":{"id":725,"name":"Department of Medicine, University of California San Diego","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7418,"fairsharing_record_id":1414,"organisation_id":2200,"relation":"maintains","created_at":"2021-09-30T09:28:37.034Z","updated_at":"2021-09-30T09:28:37.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":2200,"name":"NTNU - Norwegian University of Science and Technology","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7420,"fairsharing_record_id":1414,"organisation_id":663,"relation":"maintains","created_at":"2021-09-30T09:28:37.115Z","updated_at":"2021-09-30T09:28:37.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":663,"name":"Departement de Biologie (IBENS), Ecole Normale Superieure, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7421,"fairsharing_record_id":1414,"organisation_id":202,"relation":"maintains","created_at":"2021-09-30T09:28:37.152Z","updated_at":"2021-09-30T09:28:37.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":202,"name":"Berkeley BOP (BBOP), Lawrence Berkeley National Labs (LBNL), Berkeley, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7423,"fairsharing_record_id":1414,"organisation_id":2477,"relation":"maintains","created_at":"2021-09-30T09:28:37.222Z","updated_at":"2021-09-30T09:28:37.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":2477,"name":"RWTH Aachen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9327,"fairsharing_record_id":1414,"organisation_id":403,"relation":"maintains","created_at":"2022-04-11T12:07:30.677Z","updated_at":"2022-04-11T12:07:30.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1415","type":"fairsharing_records","attributes":{"created_at":"2020-10-05T11:21:59.000Z","updated_at":"2022-07-20T12:48:01.185Z","metadata":{"doi":"10.25504/FAIRsharing.q47I0t","name":"CryoEM Ontology","status":"ready","contacts":[{"contact_name":"Carlos Oscar S. Sorzano","contact_email":"coss@cnb.csic.es","contact_orcid":"0000-0002-9473-283X"}],"homepage":"http://scipion.i2pc.es/ontology/cryoem","identifier":1415,"description":"The CryoEM Ontology for describing objects and workflows in Single Particle Analysis by Cryo Electron Microscopy.","abbreviation":"CryoEM Ontology","year_creation":2020,"associated_tools":[{"url":"http://scipion.i2pc.es","name":"Scipion 3"}]},"legacy_ids":["bsg-001477","bsg-s001477"],"name":"FAIRsharing record for: CryoEM Ontology","abbreviation":"CryoEM Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.q47I0t","doi":"10.25504/FAIRsharing.q47I0t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CryoEM Ontology for describing objects and workflows in Single Particle Analysis by Cryo Electron Microscopy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Structural Biology"],"domains":["Electron microscopy"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":845,"relation":"undefined"}],"grants":[{"id":7424,"fairsharing_record_id":1415,"organisation_id":2528,"relation":"maintains","created_at":"2021-09-30T09:28:37.250Z","updated_at":"2021-09-30T09:28:37.250Z","grant_id":null,"is_lead":true,"saved_state":{"id":2528,"name":"Scipion","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1416","type":"fairsharing_records","attributes":{"created_at":"2016-10-20T19:16:28.000Z","updated_at":"2022-07-20T09:59:56.447Z","metadata":{"doi":"10.25504/FAIRsharing.sbfp9e","name":"Minimum Information Required for A Glycomics Experiment - Glycan Microarray Analysis","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/mirage/guidelines#glycan_microarrays","citations":[],"identifier":1416,"description":"MIRAGE (Minimum Information Required for A Glycomics Experiment was created to improve the quality of glycomics data in the scientific literature. These guidelines were drafted to be intentionally minimal and apply only to information required for generating interpretable data from a glycan array experiment. We have identified 8 areas, numbered in the workflow shown below, that are required for generating an unambiguous glycan array in the first instance and obtaining binding data. For each numbered component of the workflow area we provide guidelines for the minimal information that should be provided in reporting results.","abbreviation":"MIRAGE Glycan Microarray Analysis","year_creation":2016},"legacy_ids":["bsg-000683","bsg-s000683"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Glycan Microarray Analysis","abbreviation":"MIRAGE Glycan Microarray Analysis","url":"https://fairsharing.org/10.25504/FAIRsharing.sbfp9e","doi":"10.25504/FAIRsharing.sbfp9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRAGE (Minimum Information Required for A Glycomics Experiment was created to improve the quality of glycomics data in the scientific literature. These guidelines were drafted to be intentionally minimal and apply only to information required for generating interpretable data from a glycan array experiment. We have identified 8 areas, numbered in the workflow shown below, that are required for generating an unambiguous glycan array in the first instance and obtaining binding data. For each numbered component of the workflow area we provide guidelines for the minimal information that should be provided in reporting results.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12073}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Glycomics"],"domains":["Microarray experiment"],"taxonomies":["All"],"user_defined_tags":["Glycan Microarray"],"countries":["Australia","Germany","United Kingdom","United States"],"publications":[{"id":682,"pubmed_id":24653214,"title":"MIRAGE: The minimum information required for a glycomics experiment","year":2014,"url":"http://doi.org/10.1093/glycob/cwu018","authors":"York WS, Agravat S, Aoki-Kinoshita KF et al.","journal":"Glycobiology","doi":"10.1093/glycob/cwu018","created_at":"2021-09-30T08:23:35.195Z","updated_at":"2021-09-30T08:23:35.195Z"},{"id":1177,"pubmed_id":27993942,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting glycan microarray-based data.","year":2016,"url":"http://doi.org/10.1093/glycob/cww118","authors":"Liu Y,McBride R,Stoll M et al.","journal":"Glycobiology","doi":"10.1093/glycob/cww118","created_at":"2021-09-30T08:24:30.866Z","updated_at":"2021-09-30T08:24:30.866Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1451,"relation":"undefined"}],"grants":[{"id":7425,"fairsharing_record_id":1416,"organisation_id":1201,"relation":"maintains","created_at":"2021-09-30T09:28:37.280Z","updated_at":"2021-09-30T09:28:37.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":1201,"name":"Griffith University, Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7428,"fairsharing_record_id":1416,"organisation_id":1320,"relation":"maintains","created_at":"2021-09-30T09:28:37.378Z","updated_at":"2021-09-30T09:28:37.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":1320,"name":"Imperial College London, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7426,"fairsharing_record_id":1416,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:37.305Z","updated_at":"2021-09-30T09:28:37.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7427,"fairsharing_record_id":1416,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:37.336Z","updated_at":"2021-09-30T09:28:37.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7429,"fairsharing_record_id":1416,"organisation_id":857,"relation":"maintains","created_at":"2021-09-30T09:28:37.471Z","updated_at":"2021-09-30T09:28:37.471Z","grant_id":null,"is_lead":false,"saved_state":{"id":857,"name":"Emory University, Atlanta, Georgia, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWUU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--82ff169ce78db014a08f9412a73b4cec5b241ed7/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1400","type":"fairsharing_records","attributes":{"created_at":"2020-11-23T12:15:41.000Z","updated_at":"2023-10-25T15:40:33.739Z","metadata":{"doi":"10.25504/FAIRsharing.99ff30","name":"Minimum Information about Clinical Artificial Intelligence Modeling","status":"ready","contacts":[{"contact_name":"Atul Butte","contact_email":"Atul.Butte@ucsf.edu","contact_orcid":"0000-0002-7433-2740"}],"homepage":"https://github.com/beaunorgeot/MI-CLAIM","citations":[{"doi":"10.1038/s41591-020-1041-y","pubmed_id":32908275,"publication_id":3079}],"identifier":1400,"description":"The MI-CLAIM checklist is a guideline intended to improve transparent reporting of AI algorithms in medicine. MI-CLAIM was created to enable a direct assessment of clinical impact (including FAIRness), and to allow rapid replication of the technical design process of any legitimate clinical AI study.","abbreviation":"MI-CLAIM checklist","support_links":[{"url":"https://github.com/beaunorgeot/MI-CLAIM/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001548","bsg-s001548"],"name":"FAIRsharing record for: Minimum Information about Clinical Artificial Intelligence Modeling","abbreviation":"MI-CLAIM checklist","url":"https://fairsharing.org/10.25504/FAIRsharing.99ff30","doi":"10.25504/FAIRsharing.99ff30","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MI-CLAIM checklist is a guideline intended to improve transparent reporting of AI algorithms in medicine. MI-CLAIM was created to enable a direct assessment of clinical impact (including FAIRness), and to allow rapid replication of the technical design process of any legitimate clinical AI study.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16982}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Artificial Intelligence","Clinical Studies","Computer Science"],"domains":["Machine learning"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3079,"pubmed_id":32908275,"title":"Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.","year":2020,"url":"http://doi.org/10.1038/s41591-020-1041-y","authors":"Norgeot B,Quer G,Beaulieu-Jones BK,Torkamani A,Dias R,Gianfrancesco M,Arnaout R,Kohane IS,Saria S,Topol E,Obermeyer Z,Yu B,Butte AJ","journal":"Nat Med","doi":"10.1038/s41591-020-1041-y","created_at":"2021-09-30T08:28:19.359Z","updated_at":"2021-09-30T08:28:19.359Z"}],"licence_links":[],"grants":[{"id":7379,"fairsharing_record_id":1400,"organisation_id":2531,"relation":"maintains","created_at":"2021-09-30T09:28:35.668Z","updated_at":"2021-09-30T09:28:35.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":2531,"name":"Scripps Research Translational Institute, San Diego, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7382,"fairsharing_record_id":1400,"organisation_id":697,"relation":"maintains","created_at":"2021-09-30T09:28:35.761Z","updated_at":"2021-09-30T09:28:35.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":697,"name":"Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7378,"fairsharing_record_id":1400,"organisation_id":160,"relation":"maintains","created_at":"2021-09-30T09:28:35.626Z","updated_at":"2021-09-30T09:28:35.626Z","grant_id":null,"is_lead":true,"saved_state":{"id":160,"name":"Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7380,"fairsharing_record_id":1400,"organisation_id":680,"relation":"maintains","created_at":"2021-09-30T09:28:35.705Z","updated_at":"2021-09-30T09:28:35.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":680,"name":"Department of Biomedical Informatics (DBMI), Blavatnik Institute, Harvard Medical School, Boston, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7381,"fairsharing_record_id":1400,"organisation_id":772,"relation":"maintains","created_at":"2021-09-30T09:28:35.737Z","updated_at":"2021-09-30T09:28:35.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":772,"name":"Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7383,"fairsharing_record_id":1400,"organisation_id":770,"relation":"maintains","created_at":"2021-09-30T09:28:35.786Z","updated_at":"2021-09-30T09:28:35.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":770,"name":"Division of Health Policy and Management, School of Public Health, University of California at Berkeley, Berkeley, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1401","type":"fairsharing_records","attributes":{"created_at":"2020-04-27T11:58:36.000Z","updated_at":"2022-07-20T13:02:26.522Z","metadata":{"doi":"10.25504/FAIRsharing.aVmpKl","name":"Coronavirus Infectious Disease Ontology","status":"ready","contacts":[{"contact_name":"Yongqun Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/cido-ontology/cido","citations":[{"doi":"10.1038/s41597-020-0523-6","pubmed_id":32533075,"publication_id":2993}],"identifier":1401,"description":"The Ontology of Coronavirus Infectious Disease (CIDO) is a community-driven open-source biomedical ontology in the area of coronavirus infectious disease. The CIDO is developed to provide standardized human- and computer-interpretable annotation and representation of various coronavirus infectious diseases, including their etiology, transmission, epidemiology, pathogenesis, diagnosis, prevention, and treatment. Its development follows the OBO Foundry Principles.","abbreviation":"CIDO","support_links":[{"url":"https://github.com/CIDO-ontology/cido/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"cido-discuss@googlegroups.com","name":"Google Groups","type":"Mailing list"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIDO","name":"CIDO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cido.html","name":"cido","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001471","bsg-s001471"],"name":"FAIRsharing record for: Coronavirus Infectious Disease Ontology","abbreviation":"CIDO","url":"https://fairsharing.org/10.25504/FAIRsharing.aVmpKl","doi":"10.25504/FAIRsharing.aVmpKl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Coronavirus Infectious Disease (CIDO) is a community-driven open-source biomedical ontology in the area of coronavirus infectious disease. The CIDO is developed to provide standardized human- and computer-interpretable annotation and representation of various coronavirus infectious diseases, including their etiology, transmission, epidemiology, pathogenesis, diagnosis, prevention, and treatment. Its development follows the OBO Foundry Principles.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12288},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12562}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Bioinformatics","Drug Repositioning","Virology","Epidemiology"],"domains":["Drug","Drug interaction","Infection","Disease"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["China","United States"],"publications":[{"id":2992,"pubmed_id":null,"title":"Ontological and Bioinformatic Analysis of Anti-Coronavirus Drugs and Their Implication for Drug Repurposing against COVID-19 (Preprint)","year":2020,"url":"http://dx.doi.org/10.20944/preprints202003.0413.v1","authors":"Yingtong Liu , Wallace Chan , Zhigang Wang , Junguk Hur ORCID logo , Jiangan Xie , Hong Yu , Yongqun He","journal":"Preprints.org","doi":null,"created_at":"2021-09-30T08:28:08.899Z","updated_at":"2021-09-30T08:28:08.899Z"},{"id":2993,"pubmed_id":32533075,"title":"CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis.","year":2020,"url":"http://doi.org/10.1038/s41597-020-0523-6","authors":"He Y,Yu H,Ong E,Wang Y,Liu Y,Huffman A,Huang HH,Beverley J,Hur J,Yang X,Chen L,Omenn GS,Athey B,Smith B","journal":"Sci Data","doi":"10.1038/s41597-020-0523-6","created_at":"2021-09-30T08:28:09.061Z","updated_at":"2021-09-30T08:28:09.061Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1911,"relation":"undefined"}],"grants":[{"id":7385,"fairsharing_record_id":1401,"organisation_id":1205,"relation":"maintains","created_at":"2021-09-30T09:28:35.836Z","updated_at":"2021-09-30T09:28:35.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":1205,"name":"Guizhou Medical University, Guiyang, Guizhou, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7384,"fairsharing_record_id":1401,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:35.812Z","updated_at":"2021-09-30T09:28:35.812Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1402","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:27:07.000Z","updated_at":"2023-03-14T16:06:54.363Z","metadata":{"doi":"10.25504/FAIRsharing.ysih8m","name":"CityJSON - A JSON-based encoding for 3D city models","status":"ready","contacts":[{"contact_name":"3D geoinformation group","contact_email":"3Dgeoinfo-BK@tudelft.nl"}],"homepage":"https://www.cityjson.org/","citations":[],"identifier":1402,"description":"CityJSON is a JSON-based encoding for storing 3D city models, also called digital maquettes or digital twins. The aim of CityJSON is to offer a compact and developer-friendly format, so that files can be easily visualised, manipulated, and edited. It was designed with programmers in mind, so that tools and APIs supporting it can be quickly built, and several have been created already.","abbreviation":"CityJSON","support_links":[{"url":"https://www.cityjson.org/help/","name":"Help","type":"Help documentation"}],"year_creation":2019,"associated_tools":[{"url":"https://www.cityjson.org/software/","name":"Various software supporting CityJSON"}]},"legacy_ids":["bsg-001490","bsg-s001490"],"name":"FAIRsharing record for: CityJSON - A JSON-based encoding for 3D city models","abbreviation":"CityJSON","url":"https://fairsharing.org/10.25504/FAIRsharing.ysih8m","doi":"10.25504/FAIRsharing.ysih8m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CityJSON is a JSON-based encoding for storing 3D city models, also called digital maquettes or digital twins. The aim of CityJSON is to offer a compact and developer-friendly format, so that files can be easily visualised, manipulated, and edited. It was designed with programmers in mind, so that tools and APIs supporting it can be quickly built, and several have been created already.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Urban Planning"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["3D city model","Geospatial Data"],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1863,"relation":"undefined"}],"grants":[{"id":7386,"fairsharing_record_id":1402,"organisation_id":4,"relation":"maintains","created_at":"2021-09-30T09:28:35.862Z","updated_at":"2021-09-30T09:28:35.862Z","grant_id":null,"is_lead":true,"saved_state":{"id":4,"name":"3D geoinformation research group","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1403","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:37:27.000Z","updated_at":"2022-07-20T12:10:22.116Z","metadata":{"name":"EngMeta","status":"in_development","contacts":[{"contact_name":"FoKUS","contact_email":"fokus@izus.uni-stuttgart.de"}],"homepage":"https://www.izus.uni-stuttgart.de/fokus/engmeta","identifier":1403,"description":"EngMeta is a metadata model for data from computational engineering based on existing standards and developed to enable a structured documentation of the research process and the simulation environment all together with discipline specific information about the simulated system.","abbreviation":"EngMeta","year_creation":2019,"associated_tools":[{"url":"https://github.com/bjschembera/ExtractIng","name":"ExtractIng"}]},"legacy_ids":["bsg-001492","bsg-s001492"],"name":"FAIRsharing record for: EngMeta","abbreviation":"EngMeta","url":"https://fairsharing.org/fairsharing_records/1403","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EngMeta is a metadata model for data from computational engineering based on existing standards and developed to enable a structured documentation of the research process and the simulation environment all together with discipline specific information about the simulated system.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Aerospace Engineering","Thermodynamics","Molecular Dynamics"],"domains":["Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":["Aerodynamics","High Performance Computing (HPC)"],"countries":["Germany"],"publications":[{"id":2991,"pubmed_id":null,"title":"EngMeta: metadata for computational engineering","year":2020,"url":"https://arxiv.org/abs/2005.01637","authors":"Björn Schembera and Dorothea Iglezakis","journal":"International Journal of Metadata, Semantics and Ontologies","doi":null,"created_at":"2021-09-30T08:28:08.782Z","updated_at":"2021-09-30T11:28:39.147Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1864,"relation":"undefined"}],"grants":[{"id":7388,"fairsharing_record_id":1403,"organisation_id":3129,"relation":"maintains","created_at":"2021-09-30T09:28:35.917Z","updated_at":"2021-09-30T09:28:35.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":3129,"name":"University of Stuttgart - University library","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7389,"fairsharing_record_id":1403,"organisation_id":1255,"relation":"maintains","created_at":"2021-09-30T09:28:35.959Z","updated_at":"2021-09-30T09:28:35.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":1255,"name":"HLRS","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9346,"fairsharing_record_id":1403,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.002Z","updated_at":"2022-04-11T12:07:32.020Z","grant_id":1674,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"16FDM008","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1404","type":"fairsharing_records","attributes":{"created_at":"2020-06-25T14:17:27.000Z","updated_at":"2022-07-20T12:58:40.230Z","metadata":{"doi":"10.25504/FAIRsharing.B0d5Kn","name":"Scholarly Link Exchange Metadata Schema","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@scholix.org"}],"homepage":"http://www.scholix.org/schema","citations":[{"publication_id":3000}],"identifier":1404,"description":"The Scholix metadata schema was created by journal publishers, data centres, and global service providers to collect and exchange links between research data and literature. The core of Scholix data is the Link Information Package, which contains information about two objects and about the link between them. The schema contains of all the properties in a Scholix link information package with their definitions, structure and occurrence rules. Many of the properties are optional; the schema is designed to allow bulk exchange of link information with a minimum of information relevant to the link being mandatory.","abbreviation":"Scholix","support_links":[{"url":"http://www.scholix.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.scholix.org/participate","name":"How to Participate","type":"Help documentation"},{"url":"http://www.scholix.org/about","name":"About","type":"Help documentation"},{"url":"http://www.scholix.org/presentations","name":"Presentations","type":"Help documentation"},{"url":"https://github.com/scholix/schema","name":"Github Repository","type":"Github"},{"url":"http://www.scholix.org/implementors","name":"Implementors","type":"Help documentation"},{"url":"https://github.com/scholix/schema/raw/master/xsd/v3/schema.xsd","name":"Scholix v3","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-001499","bsg-s001499"],"name":"FAIRsharing record for: Scholarly Link Exchange Metadata Schema","abbreviation":"Scholix","url":"https://fairsharing.org/10.25504/FAIRsharing.B0d5Kn","doi":"10.25504/FAIRsharing.B0d5Kn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Scholix metadata schema was created by journal publishers, data centres, and global service providers to collect and exchange links between research data and literature. The core of Scholix data is the Link Information Package, which contains information about two objects and about the link between them. The schema contains of all the properties in a Scholix link information package with their definitions, structure and occurrence rules. Many of the properties are optional; the schema is designed to allow bulk exchange of link information with a minimum of information relevant to the link being mandatory.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management"],"domains":["Citation","Resource metadata","Bibliography","Data identity and mapping"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3000,"pubmed_id":null,"title":"Scholix Metadata Schema for Exchange of Scholarly Communication Links (Version 3)","year":2017,"url":"https://doi.org/10.5281/zenodo.1120248","authors":"Burton, Adrian; Fenner, Martin; Haak, Wouter; Manghi, Paolo","journal":"Zenodo","doi":null,"created_at":"2021-09-30T08:28:09.899Z","updated_at":"2021-09-30T08:28:09.899Z"},{"id":3001,"pubmed_id":null,"title":"Bringing Citations and Usage Metrics Together to Make Data Count","year":2019,"url":"http://doi.org/10.5334/dsj-2019-009","authors":"Helena Cousijn , Patricia Feeney, Daniella Lowenberg, Eleonora Presani, Natasha Simons","journal":"Data Science Journal","doi":null,"created_at":"2021-09-30T08:28:10.008Z","updated_at":"2021-09-30T08:28:10.008Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1973,"relation":"undefined"}],"grants":[{"id":7390,"fairsharing_record_id":1404,"organisation_id":2405,"relation":"maintains","created_at":"2021-09-30T09:28:36.001Z","updated_at":"2021-09-30T09:28:36.001Z","grant_id":null,"is_lead":true,"saved_state":{"id":2405,"name":"RDA/WDS WG on Scholarly Links Exchange (Scholix)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1405","type":"fairsharing_records","attributes":{"created_at":"2018-04-17T12:49:22.000Z","updated_at":"2022-07-20T11:19:38.275Z","metadata":{"doi":"10.25504/FAIRsharing.b1xD9f","name":"Subject Resource Application Ontology","status":"ready","contacts":[{"contact_name":"FAIRsharing Team","contact_email":"contact@fairsharing.org"}],"homepage":"https://github.com/FAIRsharing/subject-ontology","citations":[],"identifier":1405,"description":"The Subject Resource Application Ontology (SRAO) is an application ontology describing subject areas / academic disciplines used within FAIRsharing records by curators and the user community. It is built in conjunction with the Domain Resource Application Ontology (DRAO), which contains more specific domain terms and other descriptors. All classes within SRAO come from publicly-available ontologies and controlled vocabularies.","abbreviation":"SRAO","support_links":[{"url":"https://github.com/FAIRsharing/subject-ontology/issues","name":"SRAO Issue Tracker","type":"Github"},{"url":"https://twitter.com/FAIRsharing_org","name":"@FAIRsharing_org","type":"Twitter"}],"year_creation":2018,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/srao","name":"OLS Entry","portal":"OLS"}]},"legacy_ids":["bsg-001177","bsg-s001177"],"name":"FAIRsharing record for: Subject Resource Application Ontology","abbreviation":"SRAO","url":"https://fairsharing.org/10.25504/FAIRsharing.b1xD9f","doi":"10.25504/FAIRsharing.b1xD9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Subject Resource Application Ontology (SRAO) is an application ontology describing subject areas / academic disciplines used within FAIRsharing records by curators and the user community. It is built in conjunction with the Domain Resource Application Ontology (DRAO), which contains more specific domain terms and other descriptors. All classes within SRAO come from publicly-available ontologies and controlled vocabularies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Humanities","Natural Science","Earth Science","Agriculture","Life Science","Computer Science","Biomedical Science"],"domains":["Resource metadata","Classification","FAIR"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1936,"relation":"undefined"}],"grants":[{"id":7391,"fairsharing_record_id":1405,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:36.038Z","updated_at":"2021-09-30T09:28:36.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1427","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T16:11:18.000Z","updated_at":"2022-02-08T10:42:40.639Z","metadata":{"doi":"10.25504/FAIRsharing.4c7c1c","name":"DDBJ/ENA/GenBank Feature Table","status":"ready","contacts":[{"contact_name":"DDBJ general inquiry","contact_email":"ddbj@ddbj.nig.ac.jp"}],"homepage":"http://www.insdc.org/documents/feature-table","identifier":1427,"description":"The GenBank, EMBL, and DDBJ nucleic acid sequence data banks have from their inception used tables of sites and features to describe the roles and locations of higher order sequence domains and elements within the genome of an organism. In February, 1986, GenBank and EMBL began a collaborative effort (joined by DDBJ in 1987) to devise a common feature table format and common standards for annotation practice.","abbreviation":null,"year_creation":1986},"legacy_ids":["bsg-001583","bsg-s001583"],"name":"FAIRsharing record for: DDBJ/ENA/GenBank Feature Table","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4c7c1c","doi":"10.25504/FAIRsharing.4c7c1c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GenBank, EMBL, and DDBJ nucleic acid sequence data banks have from their inception used tables of sites and features to describe the roles and locations of higher order sequence domains and elements within the genome of an organism. In February, 1986, GenBank and EMBL began a collaborative effort (joined by DDBJ in 1987) to devise a common feature table format and common standards for annotation practice.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12133}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["Nucleic acid sequence","Sequence composition, complexity and repeats","Binding"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States"],"publications":[{"id":63,"pubmed_id":21106499,"title":"The International Nucleotide Sequence Database Collaboration.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1150","authors":"Cochrane G,Karsch-Mizrachi I,Nakamura Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1150","created_at":"2021-09-30T08:22:27.089Z","updated_at":"2021-09-30T11:28:42.176Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1801,"relation":"undefined"}],"grants":[{"id":7446,"fairsharing_record_id":1427,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:28:37.964Z","updated_at":"2021-09-30T09:28:37.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7445,"fairsharing_record_id":1427,"organisation_id":1504,"relation":"maintains","created_at":"2021-09-30T09:28:37.940Z","updated_at":"2021-09-30T09:28:37.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1504,"name":"International Nucleotide Sequence Database Collaboration (INSDC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7447,"fairsharing_record_id":1427,"organisation_id":252,"relation":"maintains","created_at":"2021-09-30T09:28:37.990Z","updated_at":"2021-09-30T09:28:37.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":252,"name":"Bioinformation and DDBJ Center","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7444,"fairsharing_record_id":1427,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:37.914Z","updated_at":"2021-09-30T09:28:37.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1428","type":"fairsharing_records","attributes":{"created_at":"2020-04-29T21:22:24.000Z","updated_at":"2022-07-20T10:57:10.539Z","metadata":{"doi":"10.25504/FAIRsharing.zwjNAh","name":"Adaptive Immune Receptor Repertoire Rearrangement Schema","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bcorrie@sfu.ca","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/datarep/rearrangements.html","citations":[{"doi":"10.3389/fimmu.2018.02206","pubmed_id":30323809,"publication_id":3025}],"identifier":1428,"description":"The Adaptive Immune Receptor Repertoire (AIRR) Rearrangement Schema, part of the AIRR Data Model, defines the annotations needed for rearrangements, which are sequences describing a rearranged adaptive immune receptor chain (e.g., antibody heavy chain or TCR beta chain). Data for Rearrangement objects are stored as rows in a tab-delimited file and should be compatible with any TSV reader. A dataset is defined in this context as: a TSV file, a TSV with a companion YAML file containing metadata, or a directory containing multiple TSV files and YAML files.","abbreviation":"AIRR Rearrangement Schema","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2018},"legacy_ids":["bsg-001474","bsg-s001474"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Rearrangement Schema","abbreviation":"AIRR Rearrangement Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.zwjNAh","doi":"10.25504/FAIRsharing.zwjNAh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adaptive Immune Receptor Repertoire (AIRR) Rearrangement Schema, part of the AIRR Data Model, defines the annotations needed for rearrangements, which are sequences describing a rearranged adaptive immune receptor chain (e.g., antibody heavy chain or TCR beta chain). Data for Rearrangement objects are stored as rows in a tab-delimited file and should be compatible with any TSV reader. A dataset is defined in this context as: a TSV file, a TSV with a companion YAML file containing metadata, or a directory containing multiple TSV files and YAML files.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11820}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex","Antibody"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3025,"pubmed_id":30323809,"title":"AIRR Community Standardized Representations for Annotated Immune Repertoires.","year":2018,"url":"http://doi.org/10.3389/fimmu.2018.02206","authors":"Vander Heiden JA,Marquez S,Marthandan N,Bukhari SAC,Busse CE,Corrie B,Hershberg U,Kleinstein SH,Matsen Iv FA,Ralph DK,Rosenfeld AM,Schramm CA,Christley S,Laserson U","journal":"Front Immunol","doi":"10.3389/fimmu.2018.02206","created_at":"2021-09-30T08:28:12.866Z","updated_at":"2021-09-30T08:28:12.866Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2073,"relation":"undefined"}],"grants":[{"id":7448,"fairsharing_record_id":1428,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.014Z","updated_at":"2021-09-30T09:28:38.014Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1461","type":"fairsharing_records","attributes":{"created_at":"2018-09-24T13:34:49.000Z","updated_at":"2023-09-29T11:54:57.213Z","metadata":{"doi":"10.25504/FAIRsharing.9de4c3","name":"ISO/TS 19115-3:2016 Geographic information -- Metadata -- Part 3: XML schema implementation for fundamental concepts","status":"ready","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/32579.html","citations":[],"identifier":1461,"description":"ISO/TS 19115-3:2016 defines an integrated XML implementation of ISO 19115‑1, ISO 19115‑2, and concepts from ISO/TS 19139 by defining the following artefacts: a) a set of XML schema required to validate metadata instance documents conforming to conceptual model elements defined in ISO 19115‑1, ISO 19115‑2, and ISO/TS 19139; b) a set of ISO/IEC 19757‑3 (Schematron) rules that implement validation constraints in the ISO 19115‑1 and ISO 19115‑2 UML models that are not validated by the XML schema; c) an Extensible Stylesheet Language Transformation (XSLT) for transforming ISO 19115-1 metadata encoded using the ISO/TS 19139 XML schema and ISO 19115‑2 metadata encoded using the ISO/TS 19139‑2 XML schema into an equivalent document that is valid against the XML schema defined in this document. ISO/TS 19115-3:2016 describes the procedure used to generate XML schema from ISO geographic information conceptual models related to metadata. The procedure includes creation of an UML model for XML implementation derived from the conceptual UML model.","abbreviation":"ISO/TS 19115-3:2016","year_creation":2016},"legacy_ids":["bsg-001292","bsg-s001292"],"name":"FAIRsharing record for: ISO/TS 19115-3:2016 Geographic information -- Metadata -- Part 3: XML schema implementation for fundamental concepts","abbreviation":"ISO/TS 19115-3:2016","url":"https://fairsharing.org/10.25504/FAIRsharing.9de4c3","doi":"10.25504/FAIRsharing.9de4c3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO/TS 19115-3:2016 defines an integrated XML implementation of ISO 19115‑1, ISO 19115‑2, and concepts from ISO/TS 19139 by defining the following artefacts: a) a set of XML schema required to validate metadata instance documents conforming to conceptual model elements defined in ISO 19115‑1, ISO 19115‑2, and ISO/TS 19139; b) a set of ISO/IEC 19757‑3 (Schematron) rules that implement validation constraints in the ISO 19115‑1 and ISO 19115‑2 UML models that are not validated by the XML schema; c) an Extensible Stylesheet Language Transformation (XSLT) for transforming ISO 19115-1 metadata encoded using the ISO/TS 19139 XML schema and ISO 19115‑2 metadata encoded using the ISO/TS 19139‑2 XML schema into an equivalent document that is valid against the XML schema defined in this document. ISO/TS 19115-3:2016 describes the procedure used to generate XML schema from ISO geographic information conceptual models related to metadata. The procedure includes creation of an UML model for XML implementation derived from the conceptual UML model.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1757,"relation":"undefined"}],"grants":[{"id":7504,"fairsharing_record_id":1461,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:28:39.985Z","updated_at":"2021-09-30T09:28:39.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10915,"fairsharing_record_id":1461,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:06:56.688Z","updated_at":"2023-09-27T14:06:56.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1462","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:10.242Z","metadata":{"doi":"10.25504/FAIRsharing.ew26v7","name":"Structure Data Format","status":"ready","homepage":"http://en.wikipedia.org/wiki/SD_format#SDF","identifier":1462,"description":"Structure Data Format (SDF) is a chemical file formats to represent multiple chemical structure records and associated data fields. SDF was developed and published by Molecular Design Limited (MDL) and became the most widely used standard for importing and exporting information on chemicals.","abbreviation":"SDF","support_links":[{"url":"https://cactus.nci.nih.gov/SDF_toolkit/#6","type":"Help documentation"}],"year_creation":1991},"legacy_ids":["bsg-000273","bsg-s000273"],"name":"FAIRsharing record for: Structure Data Format","abbreviation":"SDF","url":"https://fairsharing.org/10.25504/FAIRsharing.ew26v7","doi":"10.25504/FAIRsharing.ew26v7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Structure Data Format (SDF) is a chemical file formats to represent multiple chemical structure records and associated data fields. SDF was developed and published by Molecular Design Limited (MDL) and became the most widely used standard for importing and exporting information on chemicals.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18265},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11735},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12106}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity","X-ray crystallography assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1707,"pubmed_id":null,"title":"Description of several chemical-structure file formats used by computer-programs developed at Molecular Design Limited","year":1992,"url":"http://doi.org/10.1021/ci00007a012","authors":"Dalby A, Nourse JG, Hounshell WD, Gushurst Aki, Grier DL, Leland BA, Laufer J","journal":"Journal of Chemical Information and Computer Sciences","doi":"10.1021/ci00007a012","created_at":"2021-09-30T08:25:31.287Z","updated_at":"2021-09-30T08:25:31.287Z"}],"licence_links":[],"grants":[{"id":7505,"fairsharing_record_id":1462,"organisation_id":1809,"relation":"maintains","created_at":"2021-09-30T09:28:40.017Z","updated_at":"2021-09-30T09:28:40.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":1809,"name":"MDL Information Systems","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1463","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2022-07-20T11:57:18.074Z","metadata":{"doi":"10.25504/FAIRsharing.c2yb5w","name":"Metadata Authority Description Schema in RDF","status":"ready","contacts":[{"contact_name":"Nancy Lorimer","contact_email":"nlorimer@stanford.edu"}],"homepage":"http://id.loc.gov/ontologies/madsrdf/v1.html","identifier":1463,"description":"MADS/RDF is a knowledge organization system (KOS) designed for use with controlled values for names (personal, corporate, geographic, etc.), thesauri, taxonomies, subject heading systems, and other controlled value lists. It is closely related to SKOS, the Simple Knowledge Organization System and a widely supported and adopted RDF vocabulary. MADS/RDF has been fully mapped to SKOS. It is presented as an OWL ontology. While SKOS is very broad in its application, MADS/RDF is designed specifically to support authority data as used by and needed in the LIS community and its technology systems. For example, MADS/RDF provides a means to record data from the Machine Readable Cataloging (MARC) Authorities format in RDF for use in semantic applications and Linked Data projects.","abbreviation":"MADS/RDF","support_links":[{"url":"mods@listserv.loc.gov","name":"Support Email","type":"Support email"},{"url":"ndmso@loc.gov","name":"Network Development and MARC Standards Office","type":"Support email"},{"url":"http://www.loc.gov/standards/mads/rdf/","name":"MADS/RDF Primer","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000899","bsg-s000899"],"name":"FAIRsharing record for: Metadata Authority Description Schema in RDF","abbreviation":"MADS/RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.c2yb5w","doi":"10.25504/FAIRsharing.c2yb5w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MADS/RDF is a knowledge organization system (KOS) designed for use with controlled values for names (personal, corporate, geographic, etc.), thesauri, taxonomies, subject heading systems, and other controlled value lists. It is closely related to SKOS, the Simple Knowledge Organization System and a widely supported and adopted RDF vocabulary. MADS/RDF has been fully mapped to SKOS. It is presented as an OWL ontology. While SKOS is very broad in its application, MADS/RDF is designed specifically to support authority data as used by and needed in the LIS community and its technology systems. For example, MADS/RDF provides a means to record data from the Machine Readable Cataloging (MARC) Authorities format in RDF for use in semantic applications and Linked Data projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":1979,"relation":"undefined"}],"grants":[{"id":7506,"fairsharing_record_id":1463,"organisation_id":2132,"relation":"maintains","created_at":"2021-09-30T09:28:40.064Z","updated_at":"2021-09-30T09:28:40.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":2132,"name":"Network Development and MARC Standards Office","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1464","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T12:25:09.000Z","updated_at":"2022-02-08T10:29:02.994Z","metadata":{"doi":"10.25504/FAIRsharing.b4af3c","name":"North American Profile of ISO19115:2003 - Geographic information - Metadata","status":"ready","contacts":[{"contact_name":"FGDC General Contact","contact_email":"fgdc@fgdc.gov"}],"homepage":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata","identifier":1464,"description":"The North American Profile of ISO 19115:2003, Geographic information - Metadata, is intended to identify geospatial metadata that are needed for North American organizations to describe their geospatial data, including dataset and dataset series, and related Web services. It provides a mechanism for organizations producing geographic information to describe datasets in detail. The Profile helps users to better understand geographic metadata, the assumptions and limitations of geographic information, and facilitates the search for proper information to fit users’ needs. It is based on ISO 19115:2003, Geographic information - Metadata, and ISO 19106:2004, Geographic information - Profiles. It also includes service metadata from ISO 19119:2005, Geographic information - Services, and implementation perspectives from ISO/TS 19139:200,7 Geographic information - Metadata - XML schema implementation. Please note this profile extends ISO 19115:2003.","abbreviation":null,"support_links":[{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/Comment%20Submission%20Form.xls/view","name":"Comment Submission Form","type":"Contact form"},{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/napMetadataProfileV101.pdf/view","name":"North American Profile Specification","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/JointConsolidatedComments%20for%20ISO19115%20NAP%202007-03-16sortedv3.doc/view","name":"Comments on the first draft of the NAP document","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/NAP_Metadata","name":"Comments on draft from Metadata practitioners","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001308","bsg-s001308"],"name":"FAIRsharing record for: North American Profile of ISO19115:2003 - Geographic information - Metadata","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.b4af3c","doi":"10.25504/FAIRsharing.b4af3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The North American Profile of ISO 19115:2003, Geographic information - Metadata, is intended to identify geospatial metadata that are needed for North American organizations to describe their geospatial data, including dataset and dataset series, and related Web services. It provides a mechanism for organizations producing geographic information to describe datasets in detail. The Profile helps users to better understand geographic metadata, the assumptions and limitations of geographic information, and facilitates the search for proper information to fit users’ needs. It is based on ISO 19115:2003, Geographic information - Metadata, and ISO 19106:2004, Geographic information - Profiles. It also includes service metadata from ISO 19119:2005, Geographic information - Services, and implementation perspectives from ISO/TS 19139:200,7 Geographic information - Metadata - XML schema implementation. Please note this profile extends ISO 19115:2003.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Canada","United States"],"publications":[],"licence_links":[],"grants":[{"id":7507,"fairsharing_record_id":1464,"organisation_id":1001,"relation":"maintains","created_at":"2021-09-30T09:28:40.106Z","updated_at":"2021-09-30T09:28:40.106Z","grant_id":null,"is_lead":true,"saved_state":{"id":1001,"name":"Federal Geographic Data Committee (FGDC), Virginia, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1465","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-03-13T09:23:57.779Z","metadata":{"doi":"10.25504/FAIRsharing.hs43fc","name":"Fish Ontology","status":"ready","contacts":[{"contact_name":"Sarinder Kaur","contact_email":"sarinder@um.edu.my"}],"homepage":"https://mohdnajib1985.github.io/FOWebPage/","citations":[],"identifier":1465,"description":"This Fish Ontology is an ontology created as how the author views the fish structure following the book \"The Diversity of Fishes: Biology, Evolution and Ecology\" as the main reference, which covers one part of view on ichthyology, with an emphasis on diversity and adaptation. This ontology is created with the mindset of categorizing fish automatically based on the attributes and terms mined from the fish specimen. Most of the basic organization from this ontology follows Nelson's research due to its synthetic and broad approach, while recognizing that Nelson's conclusions are one of many alternative interpretations of the literature, which is mostly agreed by our main references, and many fish and fisheries researchers. Most of the classification used in this ontology is in no means completed and just following the recent classification provided by the books For now our work focused more on two group of fish which is early jawless fish, and advanced jawed fishes. The classification from both of this group are structured following the reference.","abbreviation":"FISHO","support_links":[{"url":"23.mohdnajib@gmail.com","name":"Mohd Najib","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FISHO","name":"FISHO","portal":"BioPortal"}]},"legacy_ids":["bsg-001028","bsg-s001028"],"name":"FAIRsharing record for: Fish Ontology","abbreviation":"FISHO","url":"https://fairsharing.org/10.25504/FAIRsharing.hs43fc","doi":"10.25504/FAIRsharing.hs43fc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This Fish Ontology is an ontology created as how the author views the fish structure following the book \"The Diversity of Fishes: Biology, Evolution and Ecology\" as the main reference, which covers one part of view on ichthyology, with an emphasis on diversity and adaptation. This ontology is created with the mindset of categorizing fish automatically based on the attributes and terms mined from the fish specimen. Most of the basic organization from this ontology follows Nelson's research due to its synthetic and broad approach, while recognizing that Nelson's conclusions are one of many alternative interpretations of the literature, which is mostly agreed by our main references, and many fish and fisheries researchers. Most of the classification used in this ontology is in no means completed and just following the recent classification provided by the books For now our work focused more on two group of fish which is early jawless fish, and advanced jawed fishes. The classification from both of this group are structured following the reference.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fisheries Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1466","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-06T10:24:28.648Z","metadata":{"doi":"10.25504/FAIRsharing.rtm51","name":"Gene Product Annotation Data","status":"ready","contacts":[{"contact_name":"General enquiries","contact_email":"go-discuss@geneontology.org"}],"homepage":"http://geneontology.org/docs/gene-product-association-data-gpad-format/","identifier":1466,"description":"The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation.","abbreviation":"GPAD 1.1"},"legacy_ids":["bsg-000519","bsg-s000519"],"name":"FAIRsharing record for: Gene Product Annotation Data","abbreviation":"GPAD 1.1","url":"https://fairsharing.org/10.25504/FAIRsharing.rtm51","doi":"10.25504/FAIRsharing.rtm51","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein","Transcript","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7509,"fairsharing_record_id":1466,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:40.185Z","updated_at":"2021-09-30T09:28:40.185Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9495,"fairsharing_record_id":1466,"organisation_id":1099,"relation":"maintains","created_at":"2022-05-05T13:13:31.004Z","updated_at":"2022-05-05T13:13:31.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1467","type":"fairsharing_records","attributes":{"created_at":"2020-01-09T09:19:12.000Z","updated_at":"2022-07-20T12:19:36.839Z","metadata":{"doi":"10.25504/FAIRsharing.ZkwSlo","name":"Animal Health Ontology for Livestock","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"vocabulaires-ouverts@inrae.fr"}],"homepage":"http://www.atol-ontology.com/en/a-ahol/","identifier":1467,"description":"The AHOL ontology (Animal Health Ontology for Livestock) was built collaboratively within a network of experts in the livestock health field, in order to describe production diseases. Its structure is based on the type of disease: communicable, non communicable, genetic, metabolic, physical or psychological. The properties of each disease are related to associated symptoms (the expression of a phenotypical character), the affected organism (livestock, poultry, mammals, fishes) or the one causing the disease (virus, bacteria, fungus, parasite).","abbreviation":"AHOL","year_creation":2019,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AHOL","name":"AHOL","portal":"BioPortal"}]},"legacy_ids":["bsg-001429","bsg-s001429"],"name":"FAIRsharing record for: Animal Health Ontology for Livestock","abbreviation":"AHOL","url":"https://fairsharing.org/10.25504/FAIRsharing.ZkwSlo","doi":"10.25504/FAIRsharing.ZkwSlo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AHOL ontology (Animal Health Ontology for Livestock) was built collaboratively within a network of experts in the livestock health field, in order to describe production diseases. Its structure is based on the type of disease: communicable, non communicable, genetic, metabolic, physical or psychological. The properties of each disease are related to associated symptoms (the expression of a phenotypical character), the affected organism (livestock, poultry, mammals, fishes) or the one causing the disease (virus, bacteria, fungus, parasite).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fisheries Science","Animal Husbandry"],"domains":["Phenotype","Disease"],"taxonomies":["Vertebrata"],"user_defined_tags":["Livestock"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":646,"relation":"undefined"}],"grants":[{"id":7510,"fairsharing_record_id":1467,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:40.218Z","updated_at":"2021-09-30T09:28:40.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1468","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-06T10:23:27.358Z","metadata":{"doi":"10.25504/FAIRsharing.820ebm","name":"Gene Product Information Format","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium","contact_email":"go-discuss@geneontology.org"}],"homepage":"http://geneontology.org/docs/gene-product-information-gpi-format/","identifier":1468,"description":"The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats, defined here. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation. GPI and GPAD documents consist of sequences of Unicode characters and are encoded in UTF-8 [RFC 3629].","abbreviation":"GPI"},"legacy_ids":["bsg-000520","bsg-s000520"],"name":"FAIRsharing record for: Gene Product Information Format","abbreviation":"GPI","url":"https://fairsharing.org/10.25504/FAIRsharing.820ebm","doi":"10.25504/FAIRsharing.820ebm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats, defined here. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation. GPI and GPAD documents consist of sequences of Unicode characters and are encoded in UTF-8 [RFC 3629].","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein","Transcript","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7512,"fairsharing_record_id":1468,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:40.266Z","updated_at":"2021-09-30T09:28:40.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9493,"fairsharing_record_id":1468,"organisation_id":1099,"relation":"maintains","created_at":"2022-05-05T13:13:30.959Z","updated_at":"2022-05-05T13:13:30.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1469","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2024-03-21T13:59:05.002Z","metadata":{"doi":"10.25504/FAIRsharing.tke3y2","name":"Drug Target Ontology","status":"ready","contacts":[{"contact_name":"Stephan Schurer","contact_email":"sschurer@med.miami.edu"}],"homepage":"http://drugtargetontology.org/","identifier":1469,"description":"Drug Target Ontology (DTO) is developed as a reference for drug targets with the longer-term goal to create a community standard that will facilitate the integration of diverse drug discovery information from numerous heterogeneous resources. The first version of the DTO consists of asserted class hierarchies of the four IDG protein families, GPCRs, kinases, ion channels, and nuclear hormone receptors. Protein classes are linked to tissue and disease via different levels of confidence. DTO also contains drug target development classifications, a large collection of cell lines from the LINCS project and relevant cell-disease and cell-tissue relations. DTO is modeled in OWL2-DL to enable further classification by inference reasoning and SPARQL queries. DTO is implemented following a modularization approach. DTO will serve as the organizational framework for drug targets in the IDG PHAROS User Interface Portal (https://pharos.nih.gov).","abbreviation":"DTO","support_links":[{"url":"http://drugtargetontology.org/contact.html","name":"Contact Form","type":"Contact form"},{"url":"https://youtu.be/fG50WrgiR0Q","name":"Introcuction to DTO in Pharos","type":"Help documentation"},{"url":"https://github.com/DrugTargetOntology/DTO","name":"GitHub repository","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DTO","name":"DTO","portal":"BioPortal"}]},"legacy_ids":["bsg-000955","bsg-s000955"],"name":"FAIRsharing record for: Drug Target Ontology","abbreviation":"DTO","url":"https://fairsharing.org/10.25504/FAIRsharing.tke3y2","doi":"10.25504/FAIRsharing.tke3y2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Drug Target Ontology (DTO) is developed as a reference for drug targets with the longer-term goal to create a community standard that will facilitate the integration of diverse drug discovery information from numerous heterogeneous resources. The first version of the DTO consists of asserted class hierarchies of the four IDG protein families, GPCRs, kinases, ion channels, and nuclear hormone receptors. Protein classes are linked to tissue and disease via different levels of confidence. DTO also contains drug target development classifications, a large collection of cell lines from the LINCS project and relevant cell-disease and cell-tissue relations. DTO is modeled in OWL2-DL to enable further classification by inference reasoning and SPARQL queries. DTO is implemented following a modularization approach. DTO will serve as the organizational framework for drug targets in the IDG PHAROS User Interface Portal (https://pharos.nih.gov).","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11736}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Biomedical Science"],"domains":["Disease","Protein"],"taxonomies":["All"],"user_defined_tags":["Drug Target"],"countries":["United States"],"publications":[{"id":1305,"pubmed_id":29122012,"title":"Drug target ontology to classify and integrate drug discovery data.","year":2017,"url":"http://doi.org/10.1186/s13326-017-0161-x","authors":"Lin Y,Mehta S,Kucuk-McGinty H,Turner JP,Vidovic D,Forlin M,Koleti A,Nguyen DT,Jensen LJ,Guha R,Mathias SL,Ursu O,Stathias V,Duan J,Nabizadeh N,Chung C,Mader C,Visser U,Yang JJ,Bologa CG,Oprea TI,Schurer SC","journal":"J Biomed Semantics","doi":"10.1186/s13326-017-0161-x","created_at":"2021-09-30T08:24:45.765Z","updated_at":"2021-09-30T08:24:45.765Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":861,"relation":"undefined"}],"grants":[{"id":11078,"fairsharing_record_id":1469,"organisation_id":3790,"relation":"maintains","created_at":"2023-11-08T13:09:54.213Z","updated_at":"2023-11-08T13:09:54.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":3790,"name":"University of Miami Institute for Data Science and Computing","types":["Research institute","University"],"is_lead":false,"relation":"maintains"}},{"id":11578,"fairsharing_record_id":1469,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:04.727Z","updated_at":"2024-03-21T13:59:04.951Z","grant_id":865,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54CA189205 (Illuminating the Druggable Genome Knowledge Management Center; Tudor Oprea; PI)","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1470","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2021-11-24T13:19:49.583Z","metadata":{"doi":"10.25504/FAIRsharing.pktgc6","name":"Neuro Behavior Ontology","status":"ready","contacts":[{"contact_name":"George Gkoutos","contact_email":"geg18@aber.ac.uk"}],"homepage":"https://github.com/obo-behavior/behavior-ontology/","citations":[{"doi":"10.1016/B978-0-12-388408-4.00004-6","pubmed_id":23195121,"publication_id":39}],"identifier":1470,"description":"The Neurobehavior Ontology (NBO) consists of two main components, an ontology of behavioral processes and an ontology of behavioral phenotypes. The behavioral process branch of NBO contains a classification of behavior processes complementing and extending GO’s process ontology. The behavior phenotype branch of NBO consists of a classification of both normal and abnormal behavioral characteristics of organisms .","abbreviation":"NBO","support_links":[{"url":"https://github.com/obo-behavior/behavior-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NBO","name":"NBO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/nbo.html","name":"nbo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001077","bsg-s001077"],"name":"FAIRsharing record for: Neuro Behavior Ontology","abbreviation":"NBO","url":"https://fairsharing.org/10.25504/FAIRsharing.pktgc6","doi":"10.25504/FAIRsharing.pktgc6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neurobehavior Ontology (NBO) consists of two main components, an ontology of behavioral processes and an ontology of behavioral phenotypes. The behavioral process branch of NBO contains a classification of behavior processes complementing and extending GO’s process ontology. The behavior phenotype branch of NBO consists of a classification of both normal and abnormal behavioral characteristics of organisms .","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Social and Behavioural Science","Systemic Neuroscience"],"domains":["Behavior","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":39,"pubmed_id":23195121,"title":"The neurobehavior ontology: an ontology for annotation and integration of behavior and behavioral phenotypes.","year":2012,"url":"http://doi.org/10.1016/B978-0-12-388408-4.00004-6","authors":"Gkoutos GV,Schofield PN,Hoehndorf R","journal":"Int Rev Neurobiol","doi":"10.1016/B978-0-12-388408-4.00004-6","created_at":"2021-09-30T08:22:24.666Z","updated_at":"2021-09-30T08:22:24.666Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1220,"relation":"undefined"}],"grants":[{"id":7515,"fairsharing_record_id":1470,"organisation_id":713,"relation":"maintains","created_at":"2021-09-30T09:28:40.368Z","updated_at":"2021-09-30T09:28:40.368Z","grant_id":null,"is_lead":true,"saved_state":{"id":713,"name":"Department of Genetics, University of Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1471","type":"fairsharing_records","attributes":{"created_at":"2020-06-20T13:07:55.000Z","updated_at":"2022-07-20T13:20:24.051Z","metadata":{"doi":"10.25504/FAIRsharing.bbQbSW","name":"Crossref Metadata Deposit Schema","status":"ready","homepage":"https://www.crossref.org/education/content-registration/crossrefs-metadata-deposit-schema/","identifier":1471,"description":"The Crossref Metadata Deposit Schema is a schema designed to enforce a standardized metadata format on research content stored within Crossref. This schema supports a range of different content types and categories, including descriptive (bibliographic), administrative and structural. It follows the ISO/IEC 11179 Metadata Registry (MDR) standard, which specifies a schema for recording both the meaning and technical structure of the data for unambiguous usage by humans and computers.","abbreviation":null,"support_links":[{"url":"https://www.crossref.org/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://www.crossref.org/education/metadata-stewardship/maintaining-your-metadata/","name":"Maintaining your Metadata","type":"Help documentation"},{"url":"https://www.crossref.org/education/content-registration/","name":"How to Register your Metadata","type":"Help documentation"},{"url":"https://www.crossref.org/education/content-registration/crossrefs-metadata-deposit-schema/schema-versions/","name":"Previous Schema Versions","type":"Help documentation"},{"url":"https://www.crossref.org/education/content-registration/crossrefs-metadata-deposit-schema/crossref-xsd-schema-quick-reference/","name":"XSD Quick Reference","type":"Help documentation"},{"url":"https://twitter.com/CrossrefOrg","name":"@CrossrefOrg","type":"Twitter"}],"year_creation":2000},"legacy_ids":["bsg-001498","bsg-s001498"],"name":"FAIRsharing record for: Crossref Metadata Deposit Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bbQbSW","doi":"10.25504/FAIRsharing.bbQbSW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Crossref Metadata Deposit Schema is a schema designed to enforce a standardized metadata format on research content stored within Crossref. This schema supports a range of different content types and categories, including descriptive (bibliographic), administrative and structural. It follows the ISO/IEC 11179 Metadata Registry (MDR) standard, which specifies a schema for recording both the meaning and technical structure of the data for unambiguous usage by humans and computers.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12950},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13341}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management"],"domains":["Citation","Resource metadata","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7516,"fairsharing_record_id":1471,"organisation_id":620,"relation":"maintains","created_at":"2021-09-30T09:28:40.406Z","updated_at":"2021-09-30T09:28:40.406Z","grant_id":null,"is_lead":true,"saved_state":{"id":620,"name":"CrossRef, Lynnfield, MA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1472","type":"fairsharing_records","attributes":{"created_at":"2020-10-02T13:03:37.000Z","updated_at":"2022-07-20T12:45:47.748Z","metadata":{"doi":"10.25504/FAIRsharing.8DCv6L","name":"Cross-Linguistic Data Formats","status":"ready","contacts":[{"contact_name":"Robert Forkel","contact_email":"forkel@shh.mpg.de","contact_orcid":"0000-0003-1081-086X"}],"homepage":"https://cldf.clld.org","citations":[{"doi":"10.1038/sdata.2018.205","pubmed_id":30325347,"publication_id":3046}],"identifier":1472,"description":"Cross-Linguistic Data Formats (CLDF) is a format for exchanging cross-linguistic data. CLDF provides modular specifications for common data types in language typology and historical linguistics, which are based on a shared data model and a formal ontology. The main type of cross-linguistic data relevant to this format is tabular data that is typically analysed using quantitative (automated) methods or made accessible using software tools like the `clld` framework, such as wordlists, structure datasets and simple dictionaries. Each CLDF dataset is described by a JSON metadata file according to Model for Tabular Data and Metadata on the Web (CSVW) tabular metadata specification.","abbreviation":"CLDF","support_links":[{"url":"https://github.com/cldf/cldf","name":"GitHub Project","type":"Github"},{"url":"https://cldf.clld.org/examples.html","name":"Examples","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"https://github.com/cldf/pycldf","name":"pycldf"}]},"legacy_ids":["bsg-001529","bsg-s001529"],"name":"FAIRsharing record for: Cross-Linguistic Data Formats","abbreviation":"CLDF","url":"https://fairsharing.org/10.25504/FAIRsharing.8DCv6L","doi":"10.25504/FAIRsharing.8DCv6L","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cross-Linguistic Data Formats (CLDF) is a format for exchanging cross-linguistic data. CLDF provides modular specifications for common data types in language typology and historical linguistics, which are based on a shared data model and a formal ontology. The main type of cross-linguistic data relevant to this format is tabular data that is typically analysed using quantitative (automated) methods or made accessible using software tools like the `clld` framework, such as wordlists, structure datasets and simple dictionaries. Each CLDF dataset is described by a JSON metadata file according to Model for Tabular Data and Metadata on the Web (CSVW) tabular metadata specification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics","Historical Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3046,"pubmed_id":30325347,"title":"Cross-Linguistic Data Formats, advancing data sharing and re-use in comparative linguistics.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.205","authors":"Forkel R,List JM,Greenhill SJ,Rzymski C,Bank S,Cysouw M,Hammarstrom H,Haspelmath M,Kaiping GA,Gray RD","journal":"Sci Data","doi":"10.1038/sdata.2018.205","created_at":"2021-09-30T08:28:15.391Z","updated_at":"2021-09-30T08:28:15.391Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1883,"relation":"undefined"}],"grants":[{"id":7517,"fairsharing_record_id":1472,"organisation_id":1781,"relation":"maintains","created_at":"2021-09-30T09:28:40.445Z","updated_at":"2021-09-30T09:28:40.445Z","grant_id":null,"is_lead":true,"saved_state":{"id":1781,"name":"Max Planck Institue for Evolutionary Anthropology, Leipzig, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1473","type":"fairsharing_records","attributes":{"created_at":"2020-10-13T08:29:20.000Z","updated_at":"2021-11-24T13:18:14.772Z","metadata":{"doi":"10.25504/FAIRsharing.xvfqAC","name":"Open Databases Integration for Materials Design","status":"ready","contacts":[{"contact_name":"Gian-Marco Rignanese","contact_email":"gian-marco.rignanese@uclouvain.be","contact_orcid":"0000-0002-1422-1205"}],"homepage":"https://www.optimade.org","identifier":1473,"description":"Designing new materials suitable for specific applications is a long, complex, and costly process. Researchers think of new ideas based on intuition and experience. Their synthesis and evaluation require a tremendous amount of trial and error. In the last few years, there has been a major game change in materials design. Thanks to the exponential growth of computer power and the development of robust first-principles electronic structure codes, it has become possible to perform large sets of calculations automatically. This is the burgeoning area of high-throughput ab initio computation. Such calculations have been used to create large databases containing the calculated properties of existing and hypothetical materials, many of which have appeared online: - the AFLOW distributed materials property repository - the Harvard Clean Energy Project Database - the Materials Cloud - the Materials Project - the NoMaD (Novel Materials Discovery) Repository - the Open Quantum Materials Database - the Computational Materials Repository - the Data Catalyst Genome - the Materials Platform for Data Science - the Joint Automated Repository for Various Integrated Simulations … The Open Databases Integration for Materials Design (OPTIMADE) consortium aims to make materials databases interoperational by developing a common REST API.","abbreviation":"OPTIMADE","support_links":[{"url":"https://matsci.org/c/optimade/29","name":"OPTIMADE forum on MATSCI","type":"Forum"},{"url":"https://github.com/Materials-Consortia/OPTIMADE/blob/master/optimade.rst","name":"OPTIMADE API specification v1.0.0","type":"Github"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/Materials-Consortia/optimade-python-tools","name":"OPTIMADE Python tools 0.12.1"},{"url":"https://github.com/Materials-Consortia/OPTIMADE-Filter","name":"OPTIMADE filter language parser 0.10.0"}]},"legacy_ids":["bsg-001534","bsg-s001534"],"name":"FAIRsharing record for: Open Databases Integration for Materials Design","abbreviation":"OPTIMADE","url":"https://fairsharing.org/10.25504/FAIRsharing.xvfqAC","doi":"10.25504/FAIRsharing.xvfqAC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Designing new materials suitable for specific applications is a long, complex, and costly process. Researchers think of new ideas based on intuition and experience. Their synthesis and evaluation require a tremendous amount of trial and error. In the last few years, there has been a major game change in materials design. Thanks to the exponential growth of computer power and the development of robust first-principles electronic structure codes, it has become possible to perform large sets of calculations automatically. This is the burgeoning area of high-throughput ab initio computation. Such calculations have been used to create large databases containing the calculated properties of existing and hypothetical materials, many of which have appeared online: - the AFLOW distributed materials property repository - the Harvard Clean Energy Project Database - the Materials Cloud - the Materials Project - the NoMaD (Novel Materials Discovery) Repository - the Open Quantum Materials Database - the Computational Materials Repository - the Data Catalyst Genome - the Materials Platform for Data Science - the Joint Automated Repository for Various Integrated Simulations … The Open Databases Integration for Materials Design (OPTIMADE) consortium aims to make materials databases interoperational by developing a common REST API.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Materials Research","Materials Informatics","Materials Engineering","Solid-State Chemistry","Materials Science","Condensed Matter Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["APIstandard","Computational Materials Science"],"countries":["Belgium","Germany","Lithuania","Sweden","Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1474","type":"fairsharing_records","attributes":{"created_at":"2020-09-16T11:08:31.000Z","updated_at":"2022-07-20T12:37:04.224Z","metadata":{"doi":"10.25504/FAIRsharing.rSuIcM","name":"National Aeronautics and Space Administration Ames Format for Data Exchange","status":"ready","contacts":[{"contact_name":"NASA Earth Science Project Office","contact_email":"ames-format@espo.nasa.gov"}],"homepage":"https://espoarchive.nasa.gov/content/Ames_Format_Overview","identifier":1474,"description":"The National Aeronautics and Space Administration Ames Format for Data Exchange (NASA Ames Format) is composed of ASCII data files that are written in one of nine \"standard\" file formats. The ASCII data file formats were developed at Ames Research Center by R. Stephen Hipskind and Steven E. Gaines in 1990 to standardize the file formats used for in-the-field data exchange during aircraft field experiments. Each ASCII data file consists of a file header, followed by the data records. The file header describes the data and the origin of the file. The data are conceptually divided into Independent Variables and Dependent Variables. The Dependent Variables are further divided into Primary and Auxiliary Variables.","abbreviation":"NASA Ames Format","support_links":[{"url":"https://espoarchive.nasa.gov/content/File_Name_Overview","name":"File Name Overview","type":"Help documentation"},{"url":"https://espoarchive.nasa.gov/archive/help/icartt_format","name":"ICARTT vs Ames formats","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001524","bsg-s001524"],"name":"FAIRsharing record for: National Aeronautics and Space Administration Ames Format for Data Exchange","abbreviation":"NASA Ames Format","url":"https://fairsharing.org/10.25504/FAIRsharing.rSuIcM","doi":"10.25504/FAIRsharing.rSuIcM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Aeronautics and Space Administration Ames Format for Data Exchange (NASA Ames Format) is composed of ASCII data files that are written in one of nine \"standard\" file formats. The ASCII data file formats were developed at Ames Research Center by R. Stephen Hipskind and Steven E. Gaines in 1990 to standardize the file formats used for in-the-field data exchange during aircraft field experiments. Each ASCII data file consists of a file header, followed by the data records. The file header describes the data and the origin of the file. The data are conceptually divided into Independent Variables and Dependent Variables. The Dependent Variables are further divided into Primary and Auxiliary Variables.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geophysics","Earth Science","Remote Sensing"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7518,"fairsharing_record_id":1474,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:40.477Z","updated_at":"2021-09-30T09:28:40.477Z","grant_id":null,"is_lead":true,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1475","type":"fairsharing_records","attributes":{"created_at":"2020-09-11T13:02:52.000Z","updated_at":"2022-07-20T12:25:43.476Z","metadata":{"doi":"10.25504/FAIRsharing.7ti9My","name":"BACPAC Biobehavioral Research Psychosocial Questionnaires and QST Recommendations","status":"ready","contacts":[{"contact_name":"Anna Hoffmeyer","contact_email":"bacpac_dac@unc.edu"}],"homepage":"https://heal.nih.gov/research/clinical-research/back-pain","identifier":1475,"description":"This document includes recommendations for the following domains: Psychosocial Recommendations, Social Adversity and Support, Other Optional Domains, Quantitative Sensory Testing Recommendations.","abbreviation":null,"support_links":[{"url":"BACPAC-NIH@mail.nih.gov","name":"BACPAC Contact","type":"Support email"}],"year_creation":2020},"legacy_ids":["bsg-001521","bsg-s001521"],"name":"FAIRsharing record for: BACPAC Biobehavioral Research Psychosocial Questionnaires and QST Recommendations","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7ti9My","doi":"10.25504/FAIRsharing.7ti9My","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document includes recommendations for the following domains: Psychosocial Recommendations, Social Adversity and Support, Other Optional Domains, Quantitative Sensory Testing Recommendations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Behavioural Biology","Pain Medicine"],"domains":["Behavior","Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7519,"fairsharing_record_id":1475,"organisation_id":650,"relation":"maintains","created_at":"2021-09-30T09:28:40.514Z","updated_at":"2021-09-30T09:28:40.514Z","grant_id":null,"is_lead":false,"saved_state":{"id":650,"name":"Data Integration, Algorithm Development and Operations Management Center (DAC) for BACPAC, UNC Chapel Hill, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7520,"fairsharing_record_id":1475,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:40.563Z","updated_at":"2021-09-30T09:28:40.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1476","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:35:47.075Z","metadata":{"doi":"10.25504/FAIRsharing.w7kfdn","name":"Cardiac Electrophysiology Ontology","status":"deprecated","contacts":[{"contact_name":"Raimond L. Winslow","contact_email":"rwinslow@jhu.edu","contact_orcid":"0000-0003-1719-1651"}],"homepage":"http://bioportal.bioontology.org/ontologies/1142","citations":[],"identifier":1476,"description":"The Cardiac Electrophysiology Ontology contains terms describing single-channel electrophysiological experiments and data obtained using voltage-clamp, current clamp and fluorescence imaging techniques applied at the cell level and multi-channel fluorescence imaging techniques applied at the cell, tissue and whole heart levels. This tool is part of the Cardiovascular Research Grid project (http://wiki.cvrgrid.org/index.php/Main_Page) which is part funded by the NIH. ","abbreviation":"EP","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EP","name":"EP","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology does not seem to be actively maintained, and has not been updated since 2008. It has therefore been marked as deprecated. Please contact us if you have any information concerning the current status of this resource."},"legacy_ids":["bsg-002617","bsg-s002617"],"name":"FAIRsharing record for: Cardiac Electrophysiology Ontology","abbreviation":"EP","url":"https://fairsharing.org/10.25504/FAIRsharing.w7kfdn","doi":"10.25504/FAIRsharing.w7kfdn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cardiac Electrophysiology Ontology contains terms describing single-channel electrophysiological experiments and data obtained using voltage-clamp, current clamp and fluorescence imaging techniques applied at the cell level and multi-channel fluorescence imaging techniques applied at the cell, tissue and whole heart levels. This tool is part of the Cardiovascular Research Grid project (http://wiki.cvrgrid.org/index.php/Main_Page) which is part funded by the NIH. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Electrophysiology"],"domains":["Experimental measurement","Protocol","Study design","Experimentally determined","Cardiovascular disease","Electrocardiography"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","United States"],"publications":[],"licence_links":[],"grants":[{"id":7522,"fairsharing_record_id":1476,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:40.617Z","updated_at":"2021-09-30T09:28:40.617Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9144,"fairsharing_record_id":1476,"organisation_id":1603,"relation":"maintains","created_at":"2022-04-11T12:07:17.330Z","updated_at":"2022-04-11T12:07:17.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":1603,"name":"Johns Hopkins University, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1478","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:08.639Z","metadata":{"doi":"10.25504/FAIRsharing.q9nh66","name":"ENA Sequence Flat File Format","status":"ready","contacts":[{"contact_name":"EBI Helpdesk","contact_email":"support@ebi.ac.uk"}],"homepage":"https://ena-docs.readthedocs.io/en/latest/submit/fileprep/flat-file-example.html","identifier":1478,"description":"ENA Sequence Flat File Format is a standardised plain text format for nucleotide sequences. This format was previously called the EMBL Sequence Flat File Format.","abbreviation":null,"support_links":[{"url":"https://www.ebi.ac.uk/ena/submit/flat-file","name":"Flat File Example","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ena/WebFeat/","name":"Flat File Features and Qualifiers","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ena/submit/sequence-format","name":"Assembled and Annotated Sequences","type":"Help documentation"}],"year_creation":1980},"legacy_ids":["bsg-000226","bsg-s000226"],"name":"FAIRsharing record for: ENA Sequence Flat File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.q9nh66","doi":"10.25504/FAIRsharing.q9nh66","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ENA Sequence Flat File Format is a standardised plain text format for nucleotide sequences. This format was previously called the EMBL Sequence Flat File Format.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12439}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Genetics"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2327,"relation":"undefined"}],"grants":[{"id":7526,"fairsharing_record_id":1478,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:40.760Z","updated_at":"2021-09-30T09:28:40.760Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1479","type":"fairsharing_records","attributes":{"created_at":"2021-01-31T20:37:00.000Z","updated_at":"2022-07-20T09:37:36.303Z","metadata":{"doi":"10.25504/FAIRsharing.46e1e9","name":"Proteomics Standards Initiative Extended Fasta Format","status":"ready","contacts":[{"contact_name":"Eric Deutsch","contact_email":"edeutsch@systemsbiology.org"}],"homepage":"http://psidev.info/peff","citations":[{"doi":"10.1021/acs.jproteome.9b00064","pubmed_id":31081335,"publication_id":116}],"identifier":1479,"description":"The PSI Extended Fasta Format (PEFF) is a unified format for protein and nucleotide sequence databases to be used by sequence search engines and other associated tools (spectra library search tools, sequence alignment software, data repositories, etc). This format enables consistent extraction, display and processing of information such as protein/nucleotide sequence database entry identifier, description, taxonomy, etc. across software platforms. It also allows the representation of structural annotations such as post-translational modifications, mutations and other processing events. The proposed format has the form of a plain text file that extends the formalism of the individual sequence entries as presented in the FASTA format and that includes a header of meta data to describe relevant information about the database(s) from which the sequences have been obtained.","abbreviation":"PEFF","support_links":[{"url":"https://github.com/HUPO-PSI/PEFF","name":"GitHub Project","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"http://psidev.info/peff","name":"Tools Consuming PEFF"}]},"legacy_ids":["bsg-001588","bsg-s001588"],"name":"FAIRsharing record for: Proteomics Standards Initiative Extended Fasta Format","abbreviation":"PEFF","url":"https://fairsharing.org/10.25504/FAIRsharing.46e1e9","doi":"10.25504/FAIRsharing.46e1e9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PSI Extended Fasta Format (PEFF) is a unified format for protein and nucleotide sequence databases to be used by sequence search engines and other associated tools (spectra library search tools, sequence alignment software, data repositories, etc). This format enables consistent extraction, display and processing of information such as protein/nucleotide sequence database entry identifier, description, taxonomy, etc. across software platforms. It also allows the representation of structural annotations such as post-translational modifications, mutations and other processing events. The proposed format has the form of a plain text file that extends the formalism of the individual sequence entries as presented in the FASTA format and that includes a header of meta data to describe relevant information about the database(s) from which the sequences have been obtained.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12136}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Proteogenomics"],"domains":["Nuclear Magnetic Resonance (NMR) spectroscopy","Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":116,"pubmed_id":31081335,"title":"Proteomics Standards Initiative Extended FASTA Format.","year":2019,"url":"http://doi.org/10.1021/acs.jproteome.9b00064","authors":"Binz PA,Shofstahl J,Vizcaino JA,Barsnes H,Chalkley RJ,Menschaert G,Alpi E,Clauser K,Eng JK,Lane L,Seymour SL,Sanchez LFH,Mayer G,Eisenacher M,Perez-Riverol Y,Kapp EA,Mendoza L,Baker PR,Collins A,Van Den Bossche T,Deutsch EW","journal":"J Proteome Res","doi":"10.1021/acs.jproteome.9b00064","created_at":"2021-09-30T08:22:32.855Z","updated_at":"2021-09-30T08:22:32.855Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1557,"relation":"undefined"}],"grants":[{"id":7527,"fairsharing_record_id":1479,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:28:40.784Z","updated_at":"2021-09-30T09:28:40.784Z","grant_id":null,"is_lead":true,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1480","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-06T11:33:32.342Z","metadata":{"doi":"10.25504/FAIRsharing.hxvt6c","name":"MDL Molfile Format","status":"ready","contacts":[],"homepage":"https://discover.3ds.com/ctfile-documentation-request-form","citations":[],"identifier":1480,"description":"An MDL Molfile is a file format for holding information about the atoms, bonds, connectivity and coordinates of a molecule. The molfile consists of some header information, the Connection Table (CT) containing atom info, then bond connections and types, followed by sections for more complex information. The molfile is sufficiently common that most, if not all, cheminformatics software systems/applications are able to read the format, though not always to the same degree. It is also supported by some computational software such as Mathematica. The current de facto standard version is molfile V2000, although, more recently, the V3000 format has been circulating widely enough to present a potential compatibility issue for those applications that are not yet V3000-capable. Please note that this format is only available after registration on the Dassault Systems website.","abbreviation":null,"support_links":[{"url":"https://en.wikipedia.org/wiki/Chemical_table_file","name":"Wikipedia entry (incl attribution for description)","type":"Wikipedia"}],"year_creation":1992},"legacy_ids":["bsg-000247","bsg-s000247"],"name":"FAIRsharing record for: MDL Molfile Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.hxvt6c","doi":"10.25504/FAIRsharing.hxvt6c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An MDL Molfile is a file format for holding information about the atoms, bonds, connectivity and coordinates of a molecule. The molfile consists of some header information, the Connection Table (CT) containing atom info, then bond connections and types, followed by sections for more complex information. The molfile is sufficiently common that most, if not all, cheminformatics software systems/applications are able to read the format, though not always to the same degree. It is also supported by some computational software such as Mathematica. The current de facto standard version is molfile V2000, although, more recently, the V3000 format has been circulating widely enough to present a potential compatibility issue for those applications that are not yet V3000-capable. Please note that this format is only available after registration on the Dassault Systems website.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10853},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11714},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11983}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity","X-ray crystallography assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1707,"pubmed_id":null,"title":"Description of several chemical-structure file formats used by computer-programs developed at Molecular Design Limited","year":1992,"url":"http://doi.org/10.1021/ci00007a012","authors":"Dalby A, Nourse JG, Hounshell WD, Gushurst Aki, Grier DL, Leland BA, Laufer J","journal":"Journal of Chemical Information and Computer Sciences","doi":"10.1021/ci00007a012","created_at":"2021-09-30T08:25:31.287Z","updated_at":"2021-09-30T08:25:31.287Z"}],"licence_links":[],"grants":[{"id":7528,"fairsharing_record_id":1480,"organisation_id":5,"relation":"maintains","created_at":"2021-09-30T09:28:40.809Z","updated_at":"2024-02-06T11:31:22.457Z","grant_id":null,"is_lead":true,"saved_state":{"id":5,"name":"3DS Dassault Systemes","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1481","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T16:09:12.000Z","updated_at":"2023-09-29T11:55:03.040Z","metadata":{"doi":"10.25504/FAIRsharing.7407ba","name":"ISO 20387:2018 Biotechnology — Biobanking — General requirements for biobanking","status":"ready","contacts":[{"contact_name":"Mrs. Dipl.-Ing Lena Krieger","contact_email":"lena.krieger@din.de"}],"homepage":"https://www.iso.org/standard/67888.html","citations":[],"identifier":1481,"description":"This document specifies general requirements for the competence, impartiality and consistent operation of biobanks including quality control requirements to ensure biological material and data collections of appropriate quality. ISO 20387:2018 is applicable to all organizations performing biobanking, including biobanking of biological material from multicellular organisms (e.g. human, animal, fungus and plant) and microorganisms for research and development. Biobank users, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others can also use this document in confirming or recognizing the competence of biobanks. This document does not apply to biological material intended for food/feed production, laboratories undertaking analysis for food/feed production, and/or therapeutic use.","abbreviation":"ISO 20387:2018","year_creation":2018},"legacy_ids":["bsg-001592","bsg-s001592"],"name":"FAIRsharing record for: ISO 20387:2018 Biotechnology — Biobanking — General requirements for biobanking","abbreviation":"ISO 20387:2018","url":"https://fairsharing.org/10.25504/FAIRsharing.7407ba","doi":"10.25504/FAIRsharing.7407ba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document specifies general requirements for the competence, impartiality and consistent operation of biobanks including quality control requirements to ensure biological material and data collections of appropriate quality. ISO 20387:2018 is applicable to all organizations performing biobanking, including biobanking of biological material from multicellular organisms (e.g. human, animal, fungus and plant) and microorganisms for research and development. Biobank users, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others can also use this document in confirming or recognizing the competence of biobanks. This document does not apply to biological material intended for food/feed production, laboratories undertaking analysis for food/feed production, and/or therapeutic use.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12140}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medical Biotechnology","Biotechnology"],"domains":["Biobank","Legal regulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":484,"relation":"undefined"}],"grants":[{"id":7529,"fairsharing_record_id":1481,"organisation_id":2715,"relation":"maintains","created_at":"2021-09-30T09:28:40.836Z","updated_at":"2021-09-30T09:28:40.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":2715,"name":"Technical Committee 276, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10945,"fairsharing_record_id":1481,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:51:24.935Z","updated_at":"2023-09-27T14:51:24.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1482","type":"fairsharing_records","attributes":{"created_at":"2020-08-05T10:40:47.000Z","updated_at":"2024-01-28T15:57:37.539Z","metadata":{"doi":"10.25504/FAIRsharing.S6BoUk","name":"w3id.org","status":"ready","contacts":[{"contact_name":"W3C Permanent Identifier Community Group","contact_email":"public-perma-id@w3.org"}],"homepage":"https://w3id.org/","citations":[],"identifier":1482,"description":"A secure, permanent URL re-direction service for Web applications run by the W3C Permanent Identifier Community Group. Web applications that deal with Linked Data often need to specify and use URLs that are very stable. They utilize services such as this one to ensure that applications using their URLs will always be re-directed to a working website. This website operates like a switchboard, connecting requests for information with the true location of the information on the Web. The switchboard can be reconfigured to point to a new location if the old location stops working.","abbreviation":"w3id","support_links":[{"url":"http://lists.w3.org/Archives/Public/public-perma-id/","name":"Public mailing list for the Permanent Identifier Community Group","type":"Mailing list"},{"url":"https://github.com/perma-id","name":"GitHub Project","type":"Github"},{"url":"https://www.w3.org/community/perma-id/","name":"W3C Permanent Identifier Community Group","type":"Help documentation"},{"url":"https://www.w3.org/community/perma-id/wiki/","name":"W3C Permanent Identifier Community Group Wiki","type":"Help documentation"},{"url":"https://www.w3.org/community/perma-id/wiki/","name":"Community Wiki","type":"Wikipedia"}],"year_creation":2013,"regular_expression":"^(https):\\/\\/w3id\\.org\\/[^ \"]+$ "},"legacy_ids":["bsg-001516","bsg-s001516"],"name":"FAIRsharing record for: w3id.org","abbreviation":"w3id","url":"https://fairsharing.org/10.25504/FAIRsharing.S6BoUk","doi":"10.25504/FAIRsharing.S6BoUk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A secure, permanent URL re-direction service for Web applications run by the W3C Permanent Identifier Community Group. Web applications that deal with Linked Data often need to specify and use URLs that are very stable. They utilize services such as this one to ensure that applications using their URLs will always be re-directed to a working website. This website operates like a switchboard, connecting requests for information with the true location of the information on the Web. The switchboard can be reconfigured to point to a new location if the old location stops working.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17386}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems"],"domains":["Resource metadata","Centrally registered identifier","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7530,"fairsharing_record_id":1482,"organisation_id":3204,"relation":"maintains","created_at":"2021-09-30T09:28:40.869Z","updated_at":"2021-09-30T09:28:40.869Z","grant_id":null,"is_lead":true,"saved_state":{"id":3204,"name":"W3C Permanent Identifier Community Group","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1483","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:55.004Z","metadata":{"doi":"10.25504/FAIRsharing.wvpgwn","name":"Evidence and Conclusion Ontology","status":"ready","contacts":[{"contact_name":"Marcos Chibucos","contact_email":"mchibucos@som.umaryland.edu","contact_orcid":"0000-0001-9586-0780"}],"homepage":"https://evidenceontology.org/","citations":[{"doi":"10.1093/nar/gky1036","pubmed_id":30407590,"publication_id":964}],"identifier":1483,"description":"The Evidence and Conclusion Ontology (ECO) contains terms that describe types of evidence and assertion methods. ECO terms are used in the process of biocuration to capture the evidence that supports biological assertions (e.g. gene product X has function Y as supported by evidence Z). Capture of this information allows tracking of annotation provenance, establishment of quality control measures, and query of eviden","abbreviation":"ECO","support_links":[{"url":"https://github.com/evidenceontology/evidenceontology/wiki","name":"Wiki","type":"Github"},{"url":"http://obofoundry.github.io/ontology/eco.html","name":"OBO Information","type":"Github"},{"url":"https://evidenceontology.org/docs/","name":"Resources","type":"Help documentation"},{"url":"https://github.com/evidenceontology/evidenceontology","name":"GitHub Project","type":"Github"}],"year_creation":2000,"associated_tools":[{"url":"https://github.com/evidenceontology/evidenceontology/issues","name":"term tracker"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ECO","name":"ECO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/eco.html","name":"eco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000085","bsg-s000085"],"name":"FAIRsharing record for: Evidence and Conclusion Ontology","abbreviation":"ECO","url":"https://fairsharing.org/10.25504/FAIRsharing.wvpgwn","doi":"10.25504/FAIRsharing.wvpgwn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Evidence and Conclusion Ontology (ECO) contains terms that describe types of evidence and assertion methods. ECO terms are used in the process of biocuration to capture the evidence that supports biological assertions (e.g. gene product X has function Y as supported by evidence Z). Capture of this information allows tracking of annotation provenance, establishment of quality control measures, and query of eviden","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11140},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11926},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16970}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Biology","Life Science"],"domains":["Evidence","Resource metadata","Biological sample annotation","Text mining","Assay","Curated information","Digital curation","Study design","Literature curation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":797,"pubmed_id":14992503,"title":"An evidence ontology for use in pathway/genome databases.","year":2004,"url":"http://doi.org/10.1142/9789812704856_0019","authors":"Karp PD,Paley S,Krieger CJ,Zhang P","journal":"Pac Symp Biocomput","doi":"10.1142/9789812704856_0019","created_at":"2021-09-30T08:23:47.878Z","updated_at":"2021-09-30T08:23:47.878Z"},{"id":964,"pubmed_id":30407590,"title":"ECO, the Evidence \u0026 Conclusion Ontology: community standard for evidence information.","year":2018,"url":"http://doi.org/10.1093/nar/gky1036","authors":"Giglio M,Tauber R,Nadendla S,Munro J,Olley D,Ball S,Mitraka E,Schriml LM,Gaudet P,Hobbs ET,Erill I,Siegele DA,Hu JC,Mungall C,Chibucos MC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1036","created_at":"2021-09-30T08:24:06.686Z","updated_at":"2021-09-30T11:28:56.350Z"},{"id":2320,"pubmed_id":27812948,"title":"The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-3743-1_18","authors":"Chibucos MC,Siegele DA,Hu JC,Giglio M","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-3743-1_18","created_at":"2021-09-30T08:26:44.711Z","updated_at":"2021-09-30T08:26:44.711Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":33,"relation":"undefined"}],"grants":[{"id":7532,"fairsharing_record_id":1483,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:40.945Z","updated_at":"2021-09-30T09:29:46.219Z","grant_id":394,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458400","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7531,"fairsharing_record_id":1483,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:40.907Z","updated_at":"2021-09-30T09:29:00.218Z","grant_id":49,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41-HG002223","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7933,"fairsharing_record_id":1483,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:55.260Z","updated_at":"2021-09-30T09:29:55.314Z","grant_id":469,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM089636","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7533,"fairsharing_record_id":1483,"organisation_id":1381,"relation":"maintains","created_at":"2021-09-30T09:28:40.981Z","updated_at":"2021-09-30T09:28:40.981Z","grant_id":null,"is_lead":true,"saved_state":{"id":1381,"name":"Institute for Genome Sciences, University of Maryland, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7535,"fairsharing_record_id":1483,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:41.062Z","updated_at":"2021-09-30T09:28:55.143Z","grant_id":15,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U41HG008735","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7534,"fairsharing_record_id":1483,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:28:41.023Z","updated_at":"2021-09-30T09:30:35.254Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8135,"fairsharing_record_id":1483,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:08.389Z","updated_at":"2021-09-30T09:31:08.447Z","grant_id":1035,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R01-HG02729- 01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1484","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-06-30T13:26:37.856Z","metadata":{"doi":"10.25504/FAIRsharing.9rhr9j","name":"Eukaryotic Pathogen, Host \u0026 Vector Genomics Resource Ontology","status":"ready","contacts":[{"contact_name":"Jie Zheng","contact_email":"jiezheng@pennmedicine.upenn.edu"},{"contact_name":"Chris Stoeckert","contact_email":"stoeckrt@pennmedicine.upenn.edu","contact_orcid":null}],"homepage":"https://github.com/VEuPathDB-ontology/VEuPathDB-ontology","citations":[],"identifier":1484,"description":"The VEuPathDB ontology is an application ontology developed to encode our understanding of what data is about in the public resources developed and maintained by the Eukaryotic Pathogen, Host and Vector Genomics Resource. The ontology was built based on the Ontology of Biomedical Investigations (OBI) with integration of other OBO ontologies such as PATO, OGMS, DO, etc. as needed for coverage. Currently the VEuPath ontology is primarily intended to be used for support of the VEuPathDB sites. Terms with VEuPathDB ontology IDs that are not specific to VEuPathDB will be submitted to OBO Foundry ontologies for subsequent import and replacement of those terms when they are available.","abbreviation":"VEuPathDB Ontology","support_links":[{"url":"https://github.com/VEuPathDB-ontology/VEuPathDB-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/eupath","name":"VEuPathDB Ontology in OLS","portal":"OLS"},{"url":"https://obofoundry.org/ontology/eupath.html","name":"OBO Foundry Record","portal":"OBO Foundry"},{"url":"https://bioportal.bioontology.org/ontologies/EUPATH","name":"BioPortal Record","portal":"BioPortal"}]},"legacy_ids":["bsg-000974","bsg-s000974"],"name":"FAIRsharing record for: Eukaryotic Pathogen, Host \u0026 Vector Genomics Resource Ontology","abbreviation":"VEuPathDB Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.9rhr9j","doi":"10.25504/FAIRsharing.9rhr9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VEuPathDB ontology is an application ontology developed to encode our understanding of what data is about in the public resources developed and maintained by the Eukaryotic Pathogen, Host and Vector Genomics Resource. The ontology was built based on the Ontology of Biomedical Investigations (OBI) with integration of other OBO ontologies such as PATO, OGMS, DO, etc. as needed for coverage. Currently the VEuPath ontology is primarily intended to be used for support of the VEuPathDB sites. Terms with VEuPathDB ontology IDs that are not specific to VEuPathDB will be submitted to OBO Foundry ontologies for subsequent import and replacement of those terms when they are available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Biomedical Science","Epidemiology","Population Genetics"],"domains":["Microbiome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2562,"relation":"applies_to_content"}],"grants":[{"id":8717,"fairsharing_record_id":1484,"organisation_id":3113,"relation":"maintains","created_at":"2022-01-08T10:38:56.343Z","updated_at":"2022-01-08T10:38:56.343Z","grant_id":null,"is_lead":true,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1485","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:26.773Z","metadata":{"doi":"10.25504/FAIRsharing.x39h5y","name":"Experimental Conditions Ontology","status":"ready","contacts":[{"contact_name":"Mary Shimoyama","contact_email":"shimoyama@mcw.edu","contact_orcid":"0000-0003-1176-0796"}],"homepage":"https://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=XCO:0000000","identifier":1485,"description":"The Experimental Conditions Ontology is designed to represent the conditions under which physiological and morphological measurements are made both in the clinic and in studies involving humans or model organisms.","abbreviation":"XCO","support_links":[{"url":"http://rgd.mcw.edu/contact/index.shtml","name":"Contact Form","type":"Contact form"},{"url":"https://twitter.com/ratgenome","name":"@ratgenome","type":"Twitter"}],"year_creation":2011,"associated_tools":[{"url":"https://rgd.mcw.edu/rgdweb/ontology/search.html","name":"RGD Ontology Search"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/XCO","name":"XCO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/xco.html","name":"xco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002715","bsg-s002715"],"name":"FAIRsharing record for: Experimental Conditions Ontology","abbreviation":"XCO","url":"https://fairsharing.org/10.25504/FAIRsharing.x39h5y","doi":"10.25504/FAIRsharing.x39h5y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Experimental Conditions Ontology is designed to represent the conditions under which physiological and morphological measurements are made both in the clinic and in studies involving humans or model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11245},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12024}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Experimental measurement","Assay","Protocol","Study design","Experimentally determined"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[{"id":891,"pubmed_id":22654893,"title":"Three ontologies to define phenotype measurement data.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00087","authors":"Shimoyama M,Nigam R,McIntosh LS,Nagarajan R,Rice T,Rao DC,Dwinell MR","journal":"Front Genet","doi":"10.3389/fgene.2012.00087","created_at":"2021-09-30T08:23:58.429Z","updated_at":"2021-09-30T08:23:58.429Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1088,"relation":"undefined"}],"grants":[{"id":7536,"fairsharing_record_id":1485,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:41.095Z","updated_at":"2021-09-30T09:28:41.095Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7538,"fairsharing_record_id":1485,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:28:41.169Z","updated_at":"2021-09-30T09:28:41.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7539,"fairsharing_record_id":1485,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:41.202Z","updated_at":"2021-09-30T09:29:46.388Z","grant_id":395,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094286","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7955,"fairsharing_record_id":1485,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:03.245Z","updated_at":"2021-09-30T09:30:03.305Z","grant_id":531,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7988,"fairsharing_record_id":1485,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:15.823Z","updated_at":"2021-09-30T09:30:15.874Z","grant_id":626,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL064541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9270,"fairsharing_record_id":1485,"organisation_id":2468,"relation":"maintains","created_at":"2022-04-11T12:07:26.763Z","updated_at":"2022-04-11T12:07:26.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":2468,"name":"RS Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1486","type":"fairsharing_records","attributes":{"created_at":"2015-06-29T14:11:53.000Z","updated_at":"2022-05-16T12:34:24.701Z","metadata":{"doi":"10.25504/FAIRsharing.2tpx4v","name":"Global Alliance for Genomics and Health Metadata Model","status":"deprecated","homepage":"https://github.com/ga4gh/schemas","identifier":1486,"description":"The metadata model for GA4GH, an international coalition of both public and private interested parties, formed to enable the sharing of genomic and clinical data.","abbreviation":"GA4GH","support_links":[{"url":"https://github.com/ga4gh/schemas/blob/master/src/main/proto/ga4gh/metadata.proto","name":"Schema file","type":"Github"}],"deprecation_date":"2021-02-07","deprecation_reason":"This resource was retired, together with its larger project, on January 24, 2018"},"legacy_ids":["bsg-000599","bsg-s000599"],"name":"FAIRsharing record for: Global Alliance for Genomics and Health Metadata Model","abbreviation":"GA4GH","url":"https://fairsharing.org/10.25504/FAIRsharing.2tpx4v","doi":"10.25504/FAIRsharing.2tpx4v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The metadata model for GA4GH, an international coalition of both public and private interested parties, formed to enable the sharing of genomic and clinical data.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10998},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11196},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12478}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Anatomy","Genomics","Health Science","Life Science","Biomedical Science"],"domains":["Biological sample annotation","Geographical location","Molecular entity","Cell line","Cell","Sample preparation for assay","Protocol"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Austria","Belgium","Brazil","Bulgaria","Canada","Chile","China","Czech Republic","Denmark","Estonia","Finland","France","Germany","Greece","Hong Kong","Hungary","Iceland","India","Ireland","Israel","Italy","Japan","Latvia","Liechtenstein","Lithuania","Luxembourg","Mexico","Morocco","Netherlands","New Zealand","Norway","Panama","Poland","Portugal","Russia","Singapore","Slovakia","Slovenia","South Africa","South Korea","Spain","Sweden","Switzerland","Taiwan","Turkey","United Arab Emirates","United Kingdom","United States","European Union"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":509,"relation":"undefined"}],"grants":[{"id":9496,"fairsharing_record_id":1486,"organisation_id":116,"relation":"maintains","created_at":"2022-05-05T13:13:31.240Z","updated_at":"2022-05-05T13:13:31.240Z","grant_id":null,"is_lead":true,"saved_state":{"id":116,"name":"Global Alliance for Genomics and Health","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1487","type":"fairsharing_records","attributes":{"created_at":"2021-01-05T14:17:38.000Z","updated_at":"2023-08-02T07:58:42.003Z","metadata":{"doi":"10.25504/FAIRsharing.ec6bec","name":"Scientific Variables Ontology","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"geo.ontology.help@gmail.com"}],"homepage":"https://scientificvariablesontology.org/","citations":[],"identifier":1487,"description":"The Scientific Variables Ontology (SVO) outlines the required and optional components for creating machine-interpretable scientific variable concepts. SVO comprises an upper ontology (SVU) that contains a set of modular conceptual categories and relationships between them, as well as a lower ontology (SVL) that contains instances within each category. SVL can be manually or automatically populated with concepts from a wide range of fields to create custom variables. Originally, SVO was created to express the set of CSDMS standard names in ontology form. The current ontology is designed to be terminology agnostic and can be augmented to include an unlimited number of synonymous terms. SVO is designed to balance a linguistic model of the world with a scientific model. SVO attempts to provide a template for retrieving information about a variable from free-form text. One of the primary goals of SVO is to work towards automated ontology generation of scientific variables following ideas laid out in an upper ontology of higher level concepts.","abbreviation":"SVO","support_links":[{"url":"maria.stoica@colorado.edu","name":"Maria Stoica","type":"Support email"},{"url":"https://scientificvariablesontology.org/new_site/documentation.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://scientificvariablesontology.org/new_site/documentation.html","name":"Documentation (Current)","type":"Help documentation"},{"url":"https://scientificvariablesontology.org/new_site/tutorial_create_variable_manually.html","name":"Tutorial","type":"Training documentation"},{"url":"https://scientificvariablesontology.org/","name":"Old version of the website","type":"Other"}],"year_creation":2019,"associated_tools":[{"url":"https://github.com/mariutzica/SVO_website","name":"Github repository"}]},"legacy_ids":["bsg-001559","bsg-s001559"],"name":"FAIRsharing record for: Scientific Variables Ontology","abbreviation":"SVO","url":"https://fairsharing.org/10.25504/FAIRsharing.ec6bec","doi":"10.25504/FAIRsharing.ec6bec","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Scientific Variables Ontology (SVO) outlines the required and optional components for creating machine-interpretable scientific variable concepts. SVO comprises an upper ontology (SVU) that contains a set of modular conceptual categories and relationships between them, as well as a lower ontology (SVL) that contains instances within each category. SVL can be manually or automatically populated with concepts from a wide range of fields to create custom variables. Originally, SVO was created to express the set of CSDMS standard names in ontology form. The current ontology is designed to be terminology agnostic and can be augmented to include an unlimited number of synonymous terms. SVO is designed to balance a linguistic model of the world with a scientific model. SVO attempts to provide a template for retrieving information about a variable from free-form text. One of the primary goals of SVO is to work towards automated ontology generation of scientific variables following ideas laid out in an upper ontology of higher level concepts.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Natural Science"],"domains":["Experimental measurement","Report","Assay","Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"SVO Copyright Certification","licence_id":763,"licence_url":"https://www.copyrighted.com/website/RbKPMeXwqZnxOikK?url=https%3A%2F%2Fgeoscienceontology.org%2Fdocumentation%2Findex.html","link_id":798,"relation":"undefined"}],"grants":[{"id":7541,"fairsharing_record_id":1487,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:28:41.275Z","updated_at":"2021-09-30T09:28:41.275Z","grant_id":null,"is_lead":true,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1488","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-12T16:28:57.305Z","metadata":{"doi":"10.25504/FAIRsharing.284e1z","name":"Ontology for Biomedical Investigations","status":"ready","contacts":[{"contact_name":"Bjoern Peters","contact_email":"bpeters@lji.org","contact_orcid":"0000-0002-8457-6693"}],"homepage":"http://obi-ontology.org/","citations":[{"doi":"10.1371/journal.pone.0154556","pubmed_id":27128319,"publication_id":2400}],"identifier":1488,"description":"The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI fosters clear communication about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more.","abbreviation":"OBI","support_links":[{"url":"http://purl.obolibrary.org/obo/obi/tracker","name":"GitHub Issue Tracker","type":"Forum"},{"url":"obi-users@googlegroups.com","name":"OBI Users Mailing List","type":"Mailing list"},{"url":"https://lists.sourceforge.net/lists/listinfo/obi-devel","name":"OBI Development Mailing List","type":"Mailing list"},{"url":"https://docs.google.com/document/d/1eEutJAG56gncTsWf2sAqHa4a9pQAuCbhsg_kmbF78tw/edit#heading=h.5bzhi4qntq5l","name":"OBI Development Call Agenda","type":"Help documentation"},{"url":"http://obi-ontology.org/page/OBI_term_guidelines","name":"OBI Term Guidelines","type":"Help documentation"},{"url":"https://github.com/obi-ontology/obi/wiki","name":"OBI Wiki","type":"Github"},{"url":"https://github.com/obi-ontology/obi","name":"GitHub Repository","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBI","name":"OBI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/obi.html","name":"obi","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000070","bsg-s000070"],"name":"FAIRsharing record for: Ontology for Biomedical Investigations","abbreviation":"OBI","url":"https://fairsharing.org/10.25504/FAIRsharing.284e1z","doi":"10.25504/FAIRsharing.284e1z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI fosters clear communication about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17360},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17564},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10867},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11189},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11261},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11925},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12394},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16987}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Life Science","Biomedical Science"],"domains":["Reagent","Report","Assay","Protocol","Device","Data transformation","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":993,"pubmed_id":23734660,"title":"Query enhancement through the practical application of ontology: the IEDB and OBI.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-S1-S6","authors":"Vita R,Overton JA,Greenbaum JA,Sette A,Peters B","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-S1-S6","created_at":"2021-09-30T08:24:09.921Z","updated_at":"2021-09-30T08:24:09.921Z"},{"id":1680,"pubmed_id":22180825,"title":"Minimum Information about a Genotyping Experiment (MIGEN).","year":2011,"url":"http://doi.org/10.4056/sigs.1994602","authors":"Huang J,Mirel D,Pugh E,Xing C,Robinson PN,Pertsemlidis A,Ding L,Kozlitina J,Maher J,Rios J,Story M,Marthandan N,Scheuermann RH","journal":"Stand Genomic Sci","doi":"10.4056/sigs.1994602","created_at":"2021-09-30T08:25:28.196Z","updated_at":"2021-09-30T08:25:28.196Z"},{"id":2002,"pubmed_id":25632945,"title":"Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach.","year":2015,"url":"http://doi.org/10.1093/database/bau132","authors":"Rocca-Serra P,Walls R,Parnell J,Gallery R,Zheng J,Sansone SA,Gonzalez-Beltran A","journal":"Database (Oxford)","doi":"10.1093/database/bau132","created_at":"2021-09-30T08:26:05.449Z","updated_at":"2021-09-30T08:26:05.449Z"},{"id":2400,"pubmed_id":27128319,"title":"The Ontology for Biomedical Investigations.","year":2016,"url":"http://doi.org/10.1371/journal.pone.0154556","authors":"Bandrowski A, Brinkman R, Brochhausen M et al","journal":"PLoS One","doi":"10.1371/journal.pone.0154556","created_at":"2021-09-30T08:26:54.661Z","updated_at":"2021-09-30T08:26:54.661Z"},{"id":3026,"pubmed_id":20626927,"title":"Modeling biomedical experimental processes with OBI.","year":2010,"url":"http://doi.org/10.1186/2041-1480-1-S1-S7","authors":"Brinkman RR,Courtot M,Derom D,Fostel JM,He Y,Lord P,Malone J,Parkinson H,Peters B,Rocca-Serra P,Ruttenberg A,Sansone SA,Soldatova LN,Stoeckert CJ Jr,Turner JA,Zheng J","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-1-S1-S7","created_at":"2021-09-30T08:28:12.983Z","updated_at":"2021-09-30T08:28:12.983Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":799,"relation":"undefined"}],"grants":[{"id":7550,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:41.577Z","updated_at":"2021-09-30T09:28:59.917Z","grant_id":47,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201200010C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7549,"fairsharing_record_id":1488,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:41.548Z","updated_at":"2021-09-30T09:30:30.687Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7542,"fairsharing_record_id":1488,"organisation_id":946,"relation":"funds","created_at":"2021-09-30T09:28:41.301Z","updated_at":"2021-09-30T09:30:50.400Z","grant_id":895,"is_lead":false,"saved_state":{"id":946,"name":"European Network of Excellence (ENFIN), Hinxton, Cambridgeshire, UK","grant":"503630","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7899,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:33.927Z","updated_at":"2021-09-30T09:29:33.993Z","grant_id":303,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400030C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7912,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:40.492Z","updated_at":"2021-09-30T09:29:40.563Z","grant_id":354,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01GM093132","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8208,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:32.508Z","updated_at":"2021-09-30T09:31:32.589Z","grant_id":1217,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41 HG003619","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8447,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:40.827Z","updated_at":"2021-09-30T09:32:40.882Z","grant_id":1730,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G000638/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7543,"fairsharing_record_id":1488,"organisation_id":2206,"relation":"maintains","created_at":"2021-09-30T09:28:41.326Z","updated_at":"2021-09-30T09:28:41.326Z","grant_id":null,"is_lead":true,"saved_state":{"id":2206,"name":"OBI consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7544,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:41.356Z","updated_at":"2021-09-30T09:29:38.594Z","grant_id":339,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E025080/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7547,"fairsharing_record_id":1488,"organisation_id":343,"relation":"funds","created_at":"2021-09-30T09:28:41.480Z","updated_at":"2021-09-30T09:29:47.972Z","grant_id":409,"is_lead":false,"saved_state":{"id":343,"name":"California Institute for Regenerative Medicine","grant":"GC1R-06673-B","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7546,"fairsharing_record_id":1488,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:41.440Z","updated_at":"2021-09-30T09:29:58.697Z","grant_id":496,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/K030582/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7545,"fairsharing_record_id":1488,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:41.403Z","updated_at":"2021-09-30T09:30:33.472Z","grant_id":763,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"H2020-EU.1.4.1.3 654241","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7548,"fairsharing_record_id":1488,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:41.511Z","updated_at":"2021-09-30T09:29:46.236Z","grant_id":394,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458400","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7976,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:12.002Z","updated_at":"2021-09-30T09:30:12.057Z","grant_id":595,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/C008200/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8016,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:24.098Z","updated_at":"2021-09-30T09:30:24.195Z","grant_id":696,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8054,"fairsharing_record_id":1488,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:30:40.187Z","updated_at":"2021-09-30T09:30:40.244Z","grant_id":813,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/M015661/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8060,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:42.029Z","updated_at":"2021-09-30T09:30:42.078Z","grant_id":828,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024101/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8107,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:00.222Z","updated_at":"2021-09-30T09:31:00.276Z","grant_id":974,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000917/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8116,"fairsharing_record_id":1488,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:02.389Z","updated_at":"2021-09-30T09:31:02.440Z","grant_id":989,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"H2020-EU.3.1 634107","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8125,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:05.522Z","updated_at":"2021-09-30T09:31:05.566Z","grant_id":1012,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U19AI118626","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8204,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:30.724Z","updated_at":"2021-09-30T09:31:30.781Z","grant_id":1205,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 DK 072473","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1489","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-10T19:50:41.717Z","metadata":{"doi":"10.25504/FAIRsharing.zk8p4g","name":"Open Microscopy Environment eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"Jason Swedlow","contact_email":"j.r.swedlow@dundee.ac.uk","contact_orcid":"0000-0002-2198-1958"}],"homepage":"https://docs.openmicroscopy.org/ome-model/6.2.2/ome-xml/index.html","citations":[],"identifier":1489,"description":"OME develops open-source software and data format standards for the storage and manipulation of biological microscopy data. It is a joint project between universities, research establishments, industry and the software development community. The purpose of OME-XML is to provide a rich, extensible way to save information concerning microscopy experiments and the images acquired therein. OME-XML as a file format is superseded by OME-TIFF, which is the preferred container format for image data making use of the OME Data Model.","abbreviation":"OME-XML","support_links":[{"url":"http://blog.openmicroscopy.org","name":"Open Microscopy Blog","type":"Blog/News"},{"url":"https://trac.openmicroscopy.org/ome","name":"Issue Tracker","type":"Forum"},{"url":"http://lists.openmicroscopy.org.uk/mailman/listinfo/ome-devel/devel","name":"OME-XML Mailing List","type":"Mailing list"},{"url":"http://www.openmicroscopy.org/site/support/ome-model/specifications/index.html","name":"OME-XML Specification (html)","type":"Help documentation"},{"url":"http://www.openmicroscopy.org/site/support/ome-model/","name":"OME Data Model and File Formats Documentation","type":"Help documentation"}],"year_creation":2005,"associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}]},"legacy_ids":["bsg-000107","bsg-s000107"],"name":"FAIRsharing record for: Open Microscopy Environment eXtensible Markup Language","abbreviation":"OME-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.zk8p4g","doi":"10.25504/FAIRsharing.zk8p4g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OME develops open-source software and data format standards for the storage and manipulation of biological microscopy data. It is a joint project between universities, research establishments, industry and the software development community. The purpose of OME-XML is to provide a rich, extensible way to save information concerning microscopy experiments and the images acquired therein. OME-XML as a file format is superseded by OME-TIFF, which is the preferred container format for image data making use of the OME Data Model.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18247},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11013},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11186},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14564}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Microbiology","Biology"],"domains":["Experimental measurement","Bioimaging","Cell","Microscopy","Imaging","Image","Protocol","Study design","Experimentally determined","Tissue"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["France","Italy","United Kingdom","United States"],"publications":[{"id":515,"pubmed_id":15892875,"title":"The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r47","authors":"Goldberg IG,Allan C,Burel JM,Creager D,Falconi A,Hochheiser H,Johnston J,Mellen J,Sorger PK,Swedlow JR","journal":"Genome Biol","doi":"10.1186/gb-2005-6-5-r47","created_at":"2021-09-30T08:23:16.210Z","updated_at":"2021-09-30T08:23:16.210Z"},{"id":569,"pubmed_id":20513764,"title":"Metadata matters: access to image data in the real world","year":2010,"url":"http://doi.org/10.1083/jcb.201004104","authors":"Melissa Linkert, Curtis T. Rueden, Chris Allan et al.","journal":"The Journal of Cell Biology","doi":"10.1083/jcb.201004104","created_at":"2021-09-30T08:23:22.218Z","updated_at":"2021-09-30T08:23:22.218Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1418,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1399,"relation":"undefined"}],"grants":[{"id":7552,"fairsharing_record_id":1489,"organisation_id":2261,"relation":"maintains","created_at":"2021-09-30T09:28:41.631Z","updated_at":"2021-09-30T09:28:41.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7551,"fairsharing_record_id":1489,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:41.602Z","updated_at":"2021-09-30T09:31:25.231Z","grant_id":1161,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"095931/Z/11/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7553,"fairsharing_record_id":1489,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:41.674Z","updated_at":"2021-09-30T09:30:51.771Z","grant_id":907,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024233/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8143,"fairsharing_record_id":1489,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:10.795Z","updated_at":"2021-09-30T09:31:10.848Z","grant_id":1051,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022585/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1490","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-03-22T16:34:26.448Z","metadata":{"doi":"10.25504/FAIRsharing.ts6zgq","name":"NCCN EHR Oncology Categories","status":"ready","contacts":[{"contact_name":"Joan McClure","contact_email":"McClure@nccn.org"}],"homepage":"https://www.nccn.org/","citations":[],"identifier":1490,"description":"The NCCN EHR Oncology Advisory Group was formed to address the high variance in oncology history documentation within EHR systems. Specifically, there is a lack of standardization in the names of oncology history categories across institutions. Moreover, no synonym list or mapping currently exists between the varied category names. Furthermore, oncology history documentation is often inconsistent, incomplete, and not updated appropriately. The NCCN EHR Oncology Advisory Group has established best practices and is working with EHR vendors to implement and enhance tools for documentation of oncology history. This ontology is a result of the work of the group, and provides users with a list of oncology history categories and synonyms. It is our sincere hope that this work can form the basis of improving standardization and interoperability of oncology history documentation within EHR systems.","abbreviation":"NCCNEHR","support_links":[{"url":"Sugalski@nccn.org","name":"Jessica Sugalski","type":"Support email"},{"url":"Lamb@nccn.org","name":"Peter Lamb","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCCNEHR","name":"NCCNEHR","portal":"BioPortal"}]},"legacy_ids":["bsg-001083","bsg-s001083"],"name":"FAIRsharing record for: NCCN EHR Oncology Categories","abbreviation":"NCCNEHR","url":"https://fairsharing.org/10.25504/FAIRsharing.ts6zgq","doi":"10.25504/FAIRsharing.ts6zgq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCCN EHR Oncology Advisory Group was formed to address the high variance in oncology history documentation within EHR systems. Specifically, there is a lack of standardization in the names of oncology history categories across institutions. Moreover, no synonym list or mapping currently exists between the varied category names. Furthermore, oncology history documentation is often inconsistent, incomplete, and not updated appropriately. The NCCN EHR Oncology Advisory Group has established best practices and is working with EHR vendors to implement and enhance tools for documentation of oncology history. This ontology is a result of the work of the group, and provides users with a list of oncology history categories and synonyms. It is our sincere hope that this work can form the basis of improving standardization and interoperability of oncology history documentation within EHR systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10443,"fairsharing_record_id":1490,"organisation_id":3925,"relation":"maintains","created_at":"2023-03-22T16:34:09.223Z","updated_at":"2023-03-22T16:34:09.223Z","grant_id":null,"is_lead":true,"saved_state":{"id":3925,"name":"National Comprehensive Cancer Network","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1491","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:00.630Z","metadata":{"doi":"10.25504/FAIRsharing.amf6me","name":"VIVO Integrated Semantic Framework Ontology","status":"deprecated","contacts":[{"contact_name":"Michael Conlon","contact_email":"mconlon@ufl.edu"}],"homepage":"https://wiki.lyrasis.org/display/VIVODOC110x/Ontology+Reference","identifier":1491,"description":"The VIVO Integrated Semantic Framework ontology (VIVO-ISF Ontology, sometimes also known as the VIVO Ontology) represents researchers in the context of their experience, outputs, interests, accomplishments, and associated institutions. VIVO-ISF provides a set of types (classes) and relationships (properties) to represent researchers and the full context in which they work. The larger VIVO software is an open source platform for research discovery. Content in any local VIVO installation may be maintained manually, brought into VIVO in automated ways from local systems of record, such as HR, grants, course, and faculty activity databases, or from database providers such as publication aggregators and funding agencies.","abbreviation":"VIVO-ISF","support_links":[{"url":"https://duraspace.org/vivo/news/","name":"News","type":"Blog/News"},{"url":"https://github.com/openrif/vivo-isf-ontology","name":"GitHub Project","type":"Github"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/Rich+export+SPARQL+queries","name":"About SPARQL Queries","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/Ontology+Overview+%3A+Object+Properties","name":"About VIVO-ISF Object Properties","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/VIVO+Classes","name":"About VIVO-ISF Classes","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/Source+ontologies+for+VIVO","name":"Source Ontologies","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/VIVO+Ontology+Domain+Definition","name":"Ontology Domain Information","type":"Help documentation"}],"year_creation":2014,"associated_tools":[{"url":"https://duraspace.org/vivo/download/","name":"VIVO"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VIVO-ISF","name":"VIVO-ISF","portal":"BioPortal"}],"deprecation_date":"2021-02-07","deprecation_reason":"This resource is no longer actively maintained, and has been superceded."},"legacy_ids":["bsg-002774","bsg-s002774"],"name":"FAIRsharing record for: VIVO Integrated Semantic Framework Ontology","abbreviation":"VIVO-ISF","url":"https://fairsharing.org/10.25504/FAIRsharing.amf6me","doi":"10.25504/FAIRsharing.amf6me","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VIVO Integrated Semantic Framework ontology (VIVO-ISF Ontology, sometimes also known as the VIVO Ontology) represents researchers in the context of their experience, outputs, interests, accomplishments, and associated institutions. VIVO-ISF provides a set of types (classes) and relationships (properties) to represent researchers and the full context in which they work. The larger VIVO software is an open source platform for research discovery. Content in any local VIVO installation may be maintained manually, brought into VIVO in automated ways from local systems of record, such as HR, grants, course, and faculty activity databases, or from database providers such as publication aggregators and funding agencies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2111,"relation":"undefined"}],"grants":[{"id":7554,"fairsharing_record_id":1491,"organisation_id":1738,"relation":"maintains","created_at":"2021-09-30T09:28:41.712Z","updated_at":"2021-09-30T09:28:41.712Z","grant_id":null,"is_lead":false,"saved_state":{"id":1738,"name":"Lyrasis, Atlanta, GA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1492","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:06.844Z","metadata":{"doi":"10.25504/FAIRsharing.x13tv8","name":"Santa Barbara Coastal Observation Ontology","status":"deprecated","contacts":[{"contact_name":"Bryce Mecum","contact_email":"mecum@nceas.ucsb.edu","contact_orcid":"0000-0002-0381-3766"}],"homepage":"https://semtools.ecoinformatics.org/oboe/annotation-bake-off-sbc-oboe-extension-and-eml-datasets","identifier":1492,"description":"Extensible Observation Ontology for the Santa Barbara Coastal Long Term Ecological Research project (SBC-LTER). OBOE SBC extends core concepts defined in the OBOE suite that are particular to the Santa Barbara Coastal Long Term Ecological Research project's data collection activities. These include specific measurement protocols, sites, etc. This is mean as a case study ontology for the Semtools project.","abbreviation":"OBOE SBC","support_links":[{"url":"semtools@ecoinformatics.org","type":"Support email"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBOE-SBC","name":"OBOE-SBC","portal":"BioPortal"}],"deprecation_date":"2019-10-22","deprecation_reason":"This resource is now obsolete."},"legacy_ids":["bsg-002679","bsg-s002679"],"name":"FAIRsharing record for: Santa Barbara Coastal Observation Ontology","abbreviation":"OBOE SBC","url":"https://fairsharing.org/10.25504/FAIRsharing.x13tv8","doi":"10.25504/FAIRsharing.x13tv8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Extensible Observation Ontology for the Santa Barbara Coastal Long Term Ecological Research project (SBC-LTER). OBOE SBC extends core concepts defined in the OBOE suite that are particular to the Santa Barbara Coastal Long Term Ecological Research project's data collection activities. These include specific measurement protocols, sites, etc. This is mean as a case study ontology for the Semtools project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science"],"domains":["Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7555,"fairsharing_record_id":1492,"organisation_id":2210,"relation":"maintains","created_at":"2021-09-30T09:28:41.744Z","updated_at":"2021-09-30T09:28:41.744Z","grant_id":null,"is_lead":false,"saved_state":{"id":2210,"name":"OBOE Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1493","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:27:05.193Z","metadata":{"doi":"10.25504/FAIRsharing.w7a76x","name":"Plant Environmental Ontology","status":"deprecated","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu"}],"homepage":"http://browser.planteome.org/amigo/term/EO:0007359","identifier":1493,"description":"EO is a structured, controlled vocabulary for the representation of plant environmental conditions. EO has now been replaced by PECO. If you are using classes like EO:nnnnnn then you should be able to substitute this for PECO:nnnnnn, as all of the numeric parts of the ID are preserved. For a more robust mechanism, peco.obo contains alt_ids, and peco.owl contains the equivalent replaced_by assertions, which point from an obsoleted EO class to the corresponding PECO class.","abbreviation":"EO","year_creation":2008,"cross_references":[{"url":"http://www.obofoundry.org/ontology/eo.html","name":"eo","portal":"OBO Foundry"}],"deprecation_date":"2019-02-14","deprecation_reason":"This resource has been deprecated and is no longer maintained."},"legacy_ids":["bsg-000062","bsg-s000062"],"name":"FAIRsharing record for: Plant Environmental Ontology","abbreviation":"EO","url":"https://fairsharing.org/10.25504/FAIRsharing.w7a76x","doi":"10.25504/FAIRsharing.w7a76x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EO is a structured, controlled vocabulary for the representation of plant environmental conditions. EO has now been replaced by PECO. If you are using classes like EO:nnnnnn then you should be able to substitute this for PECO:nnnnnn, as all of the numeric parts of the ID are preserved. For a more robust mechanism, peco.obo contains alt_ids, and peco.owl contains the equivalent replaced_by assertions, which point from an obsoleted EO class to the corresponding PECO class.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Environmental Science"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2052,"relation":"undefined"}],"grants":[{"id":7556,"fairsharing_record_id":1493,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:28:41.767Z","updated_at":"2021-09-30T09:28:41.767Z","grant_id":null,"is_lead":true,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7557,"fairsharing_record_id":1493,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:41.793Z","updated_at":"2021-09-30T09:31:56.635Z","grant_id":1398,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS:1340112 award","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1494","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:56.324Z","metadata":{"doi":"10.25504/FAIRsharing.7tx4ac","name":"Access to Biological Collection Data DNA extension","status":"ready","contacts":[{"contact_name":"Walter G Berendsohn","contact_email":"w.berendsohn@bgbm.org","contact_orcid":"0000-0001-9945-7606"}],"homepage":"http://www.tdwg.org/standards/640/","identifier":1494,"description":"ABCDDNA is a theme specific extension for ABCD (Access to Biological Collections Data) created to facilitate storage and exchange of data related to DNA collection units, such as DNA extraction specifics, DNA quality parameters, and data characterising products of downstream applications, along with the relation to the analysed voucher specimen. ABCDDNA is an XML Schema extension to ABCD 2.06, which offers only a rudimentary set of DNA-specific data (\"Sequences\"). Although a stable standard, it will be replaced by the Global Genome Biodiversity Network (GGBN) Data Standard specification, which currently has a draft status.","abbreviation":"ABCDDNA","support_links":[{"url":"https://github.com/tdwg/abcddna/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","name":"Mailing List","type":"Mailing list"}],"year_creation":2010},"legacy_ids":["bsg-000204","bsg-s000204"],"name":"FAIRsharing record for: Access to Biological Collection Data DNA extension","abbreviation":"ABCDDNA","url":"https://fairsharing.org/10.25504/FAIRsharing.7tx4ac","doi":"10.25504/FAIRsharing.7tx4ac","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ABCDDNA is a theme specific extension for ABCD (Access to Biological Collections Data) created to facilitate storage and exchange of data related to DNA collection units, such as DNA extraction specifics, DNA quality parameters, and data characterising products of downstream applications, along with the relation to the analysed voucher specimen. ABCDDNA is an XML Schema extension to ABCD 2.06, which offers only a rudimentary set of DNA-specific data (\"Sequences\"). Although a stable standard, it will be replaced by the Global Genome Biodiversity Network (GGBN) Data Standard specification, which currently has a draft status.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12269}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Biology"],"domains":["Experimental measurement","DNA sequence data","Deoxyribonucleic acid","Resource collection","Protocol","Polymerase Chain Reaction","Sequence"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1691,"relation":"undefined"}],"grants":[{"id":7558,"fairsharing_record_id":1494,"organisation_id":19,"relation":"maintains","created_at":"2021-09-30T09:28:41.818Z","updated_at":"2021-09-30T09:28:41.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":19,"name":"Access to Biological Collections Data (ABCD) task group, Taxonomic Databases Working Group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1495","type":"fairsharing_records","attributes":{"created_at":"2016-06-24T17:24:21.000Z","updated_at":"2024-04-04T10:15:44.894Z","metadata":{"doi":"10.25504/FAIRsharing.yedsf5","name":"FAANG metadata sample specification standard","status":"ready","contacts":[{"contact_name":"Alexey Sokolov","contact_email":"alexey@ebi.ac.uk","contact_orcid":"0000-0002-3387-0649"}],"homepage":"https://github.com/FAANG/faang-metadata/blob/master/docs/faang_sample_metadata.md","citations":[{"doi":"10.1111/age.12736","pubmed_id":30311252,"publication_id":2772}],"identifier":1495,"description":"The FAANG metadata sample specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG samples are well described and that the description is well structured. In the sample context, we consider donor animals, tissue samples, primary cells or any other biological material to be samples. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","abbreviation":null,"support_links":[{"url":"faang@iastate.edu","name":"General Contact","type":"Support email"},{"url":"faang-dcc@ebi.ac.uk","name":"EBI General Contact","type":"Support email"}],"year_creation":2016,"associated_tools":[{"url":"https://data.faang.org/validation/samples","name":"FAANG metadata validation service"}]},"legacy_ids":["bsg-000672","bsg-s000672"],"name":"FAIRsharing record for: FAANG metadata sample specification standard","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.yedsf5","doi":"10.25504/FAIRsharing.yedsf5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAANG metadata sample specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG samples are well described and that the description is well structured. In the sample context, we consider donor animals, tissue samples, primary cells or any other biological material to be samples. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Functional Genomics","Life Science"],"domains":["Biological sample annotation","Cell line","Cell","Cell culture","Tissue"],"taxonomies":["Bos taurus","Bubalus bubalis","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":2772,"pubmed_id":30311252,"title":"FAANG, establishing metadata standards, validation and best practices for the farmed and companion animal community.","year":2018,"url":"http://doi.org/10.1111/age.12736","authors":"Harrison PW,Fan J,Richardson D,Clarke L,Zerbino D,Cochrane G,Archibald AL,Schmidt CJ,Flicek P","journal":"Anim Genet","doi":"10.1111/age.12736","created_at":"2021-09-30T08:27:40.722Z","updated_at":"2021-09-30T08:27:40.722Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":939,"relation":"undefined"},{"licence_name":"FAANG Apache License","licence_id":308,"licence_url":"https://github.com/FAANG/validate-metadata/blob/master/LICENSE","link_id":938,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":936,"relation":"undefined"}],"grants":[{"id":7560,"fairsharing_record_id":1495,"organisation_id":1069,"relation":"maintains","created_at":"2021-09-30T09:28:41.868Z","updated_at":"2021-09-30T09:28:41.868Z","grant_id":null,"is_lead":true,"saved_state":{"id":1069,"name":"Functional Annotation of Animal Genomes (FAANG) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9259,"fairsharing_record_id":1495,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.979Z","updated_at":"2022-04-11T12:07:25.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1512","type":"fairsharing_records","attributes":{"created_at":"2021-04-01T23:56:47.000Z","updated_at":"2022-07-20T10:06:09.481Z","metadata":{"doi":"10.25504/FAIRsharing.GWEIFA","name":"ASLS - Landform classifiers","status":"ready","contacts":[{"contact_name":"Andrew Biggs","contact_email":"andrew.biggs@resources.qld.gov.au"}],"homepage":"https://github.com/ANZSoilData/def-au-asls-landform","citations":[],"identifier":1512,"description":"Machine-readable representation of the classifiers described in chapter 5 Landform, by J.G. Speight, in Australian soil and land survey field handbook (3rd edn). In this technique for describing landforms, the whole land surface is viewed as a mosaic of tiles of odd shapes and sizes. The scheme is intended to produce a record of observations rather than inferences. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","abbreviation":"landform","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LANDFORM","name":"LANDFORM","portal":"BioPortal"}]},"legacy_ids":["bsg-001604","bsg-s001604"],"name":"FAIRsharing record for: ASLS - Landform classifiers","abbreviation":"landform","url":"https://fairsharing.org/10.25504/FAIRsharing.GWEIFA","doi":"10.25504/FAIRsharing.GWEIFA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Machine-readable representation of the classifiers described in chapter 5 Landform, by J.G. Speight, in Australian soil and land survey field handbook (3rd edn). In this technique for describing landforms, the whole land surface is viewed as a mosaic of tiles of odd shapes and sizes. The scheme is intended to produce a record of observations rather than inferences. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["soil carbon","Soil pH","Soil texture"],"countries":["Australia"],"publications":[{"id":2514,"pubmed_id":null,"title":"Australian Soil and Land Survey Handbook (Third Edition)","year":2009,"url":"https://www.publish.csiro.au/book/5230","authors":"National Committee on Soil and Terrain","journal":"CSIRO Publishing","doi":null,"created_at":"2021-09-30T08:27:08.484Z","updated_at":"2021-09-30T08:27:08.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":2720,"relation":"applies_to_content"}],"grants":[{"id":7605,"fairsharing_record_id":1512,"organisation_id":1980,"relation":"maintains","created_at":"2021-09-30T09:28:43.470Z","updated_at":"2022-06-30T11:29:28.453Z","grant_id":null,"is_lead":true,"saved_state":{"id":1980,"name":"National Committee on Soil and Terrain","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1513","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:01.239Z","metadata":{"doi":"10.25504/FAIRsharing.mtf81z","name":"International Classification of Diseases for Oncology, 3rd Edition","status":"ready","contacts":[{"contact_name":"Freddie Bray","contact_email":"brayf@who.int"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-of-diseases-for-oncology","identifier":1513,"description":"The International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3) is used principally in tumour or cancer registries for coding the site (topography) and the histology (morphology) of neoplasms, usually obtained from a pathology report. It provides a multi-axial classification of the site, morphology, behaviour, and grading of neoplasms. The topography axis uses the ICD-10 classification of malignant neoplasms (except those categories which relate to secondary neoplasms and to specified morphological types of tumours) for all types of tumours, thereby providing greater site detail for non-malignant tumours than is provided in ICD-10. In contrast to ICD-10, the ICD-O-3 includes topography for sites of haematopoietic and reticuloendothelial tumours.","abbreviation":"ICD-O-3","support_links":[{"url":"jakobr@who.int","name":"Robert Jakob","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/International_Classification_of_Diseases_for_Oncology","name":"ICD-0 Wikipedia entry","type":"Wikipedia"}],"year_creation":1976},"legacy_ids":["bsg-002756","bsg-s002756"],"name":"FAIRsharing record for: International Classification of Diseases for Oncology, 3rd Edition","abbreviation":"ICD-O-3","url":"https://fairsharing.org/10.25504/FAIRsharing.mtf81z","doi":"10.25504/FAIRsharing.mtf81z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3) is used principally in tumour or cancer registries for coding the site (topography) and the histology (morphology) of neoplasms, usually obtained from a pathology report. It provides a multi-axial classification of the site, morphology, behaviour, and grading of neoplasms. The topography axis uses the ICD-10 classification of malignant neoplasms (except those categories which relate to secondary neoplasms and to specified morphological types of tumours) for all types of tumours, thereby providing greater site detail for non-malignant tumours than is provided in ICD-10. In contrast to ICD-10, the ICD-O-3 includes topography for sites of haematopoietic and reticuloendothelial tumours.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17328},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12470},{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16786}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Health Science","Global Health","Pathology"],"domains":["Cancer","Tumor","Electronic health record","Histology","Disease","Classification","Morphology"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ICD-O: account required","licence_id":409,"licence_url":"http://apps.who.int/classifications/apps/icd/ClassificationDownload/DLArea/Download.aspx","link_id":1524,"relation":"undefined"},{"licence_name":"World Health Organization (WHO) Copyright, Licencing and Permissions","licence_id":868,"licence_url":"https://www.who.int/about/who-we-are/publishing-policies/copyright","link_id":1520,"relation":"undefined"}],"grants":[{"id":7607,"fairsharing_record_id":1513,"organisation_id":1472,"relation":"maintains","created_at":"2021-09-30T09:28:43.540Z","updated_at":"2021-09-30T09:28:43.540Z","grant_id":null,"is_lead":false,"saved_state":{"id":1472,"name":"International Agency for Research on Cancer (IARC), Lyon, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7606,"fairsharing_record_id":1513,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:43.498Z","updated_at":"2021-09-30T09:28:43.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1514","type":"fairsharing_records","attributes":{"created_at":"2021-03-11T11:48:33.000Z","updated_at":"2022-07-20T12:30:09.943Z","metadata":{"doi":"10.25504/FAIRsharing.2LyTxE","name":"Polygenic Risk Score Reporting Standards","status":"ready","contacts":[{"contact_name":"Genevieve Wojcik","contact_email":"gwojcik@stanford.edu","contact_orcid":"0000-0001-7206-8088"}],"homepage":"https://clinicalgenome.org/docs/clingen-complex-disease-prs-reporting-standards/","citations":[{"doi":"10.1038/s41586-021-03243-6","pubmed_id":33692554,"publication_id":2103}],"identifier":1514,"description":"The Polygenic Risk Score Reporting Standards (PRS-RS) provides the minimal information expected of authors to promote the internal validity, transparency, and reproducibility of PRS by requiring authors to detail the study population, statistical methods, and clinical utility of a published score. PRSs, which often aggregate results from genome-wide association studies, can bridge the gap between initial discovery efforts and clinical applications for the estimation of disease risk using genetics. However, there is notable heterogeneity in the application and reporting of these risk scores, which hinders the translation of PRSs into clinical care. These guidelines update the Genetic Risk Prediction Studies (GRIPS) Statement to reflect the present state of the field. Drawing on the input of experts in epidemiology, statistics, disease-specific applications, implementation and policy, this reporting framework defines the minimal information that is needed to interpret and evaluate PRSs, especially with respect to downstream clinical applications. Items span detailed descriptions of study populations, statistical methods for the development and validation of PRSs and considerations for the potential limitations of these scores. In addition, data deposition is encouraged via the PGS Catalog to facilitate reproducibility and comparative benchmarking. By providing these criteria in a structured format that builds on existing standards and ontologies, the aim is to facilitate translation into clinical care and progress towards defining best practice.","abbreviation":"PRS-RS","support_links":[{"url":"https://clinicalgenome.org/working-groups/complex-disease/","name":"ClinGen Complex Disease group website","type":"Help documentation"},{"url":"https://twitter.com/ClinGenResource","name":"@ClinGenResource","type":"Twitter"}],"year_creation":2020},"legacy_ids":["bsg-001595","bsg-s001595"],"name":"FAIRsharing record for: Polygenic Risk Score Reporting Standards","abbreviation":"PRS-RS","url":"https://fairsharing.org/10.25504/FAIRsharing.2LyTxE","doi":"10.25504/FAIRsharing.2LyTxE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Polygenic Risk Score Reporting Standards (PRS-RS) provides the minimal information expected of authors to promote the internal validity, transparency, and reproducibility of PRS by requiring authors to detail the study population, statistical methods, and clinical utility of a published score. PRSs, which often aggregate results from genome-wide association studies, can bridge the gap between initial discovery efforts and clinical applications for the estimation of disease risk using genetics. However, there is notable heterogeneity in the application and reporting of these risk scores, which hinders the translation of PRSs into clinical care. These guidelines update the Genetic Risk Prediction Studies (GRIPS) Statement to reflect the present state of the field. Drawing on the input of experts in epidemiology, statistics, disease-specific applications, implementation and policy, this reporting framework defines the minimal information that is needed to interpret and evaluate PRSs, especially with respect to downstream clinical applications. Items span detailed descriptions of study populations, statistical methods for the development and validation of PRSs and considerations for the potential limitations of these scores. In addition, data deposition is encouraged via the PGS Catalog to facilitate reproducibility and comparative benchmarking. By providing these criteria in a structured format that builds on existing standards and ontologies, the aim is to facilitate translation into clinical care and progress towards defining best practice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Quantitative Genetics","Personalized Medicine","Human Genetics","Epidemiology"],"domains":["Biomarker"],"taxonomies":["Homo sapiens"],"user_defined_tags":["genomic risk score","polygenic risk score","polygenic score"],"countries":["Australia","Canada","United Kingdom","United States"],"publications":[{"id":2103,"pubmed_id":33692554,"title":"Improving reporting standards for polygenic scores in risk prediction studies","year":2021,"url":"http://doi.org/10.1038/s41586-021-03243-6","authors":"Wand H, Lambert SA, [28 other Authors, ClinGen Complex Diseases working group], Inouye M, Wojcik GL","journal":"Nature","doi":"10.1038/s41586-021-03243-6","created_at":"2021-09-30T08:26:17.000Z","updated_at":"2021-09-30T08:26:17.000Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1391,"relation":"undefined"}],"grants":[{"id":7608,"fairsharing_record_id":1514,"organisation_id":538,"relation":"maintains","created_at":"2021-09-30T09:28:43.561Z","updated_at":"2021-09-30T09:28:43.561Z","grant_id":null,"is_lead":true,"saved_state":{"id":538,"name":"ClinGen Complex Disease working group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7609,"fairsharing_record_id":1514,"organisation_id":2343,"relation":"maintains","created_at":"2021-09-30T09:28:43.589Z","updated_at":"2021-09-30T09:28:43.589Z","grant_id":null,"is_lead":true,"saved_state":{"id":2343,"name":"Polygenic Score (PGS) Catalog","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1515","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T17:55:51.000Z","updated_at":"2024-01-28T11:13:30.281Z","metadata":{"name":"A minimum information framework the FAIR collection of earth and envionmental science data with drones","status":"in_development","contacts":[{"contact_name":"Andrea Thomer","contact_email":"athomer@umich.edu","contact_orcid":"0000-0001-6238-3498"}],"homepage":"https://doi.org/10.5281/zenodo.4124166","citations":[],"identifier":1515,"description":"This standard is a minimum information framework (MIF) for data collected by small unmanned aerial systems (AKA sUAS AKA RPAs AKA drones). A MIF is essentially a framework for the development for further data standards; it lists the metadata needed for the collection of FAIR (Findable Accessible Interoperable and Reusable) scientific data with drones/sUAS/RPAs. The sUAS MIF includes: An entity-relationship model illustrating key data classes and their relationships (file coming soon) sUASMIF.csv: A csv listing the attributes and their definitions for each class. This is the main file for the MIF datadict.txt: a data dictionary defining each column the the main MIF csv The MIF was drafted through examination of 3 case studies of data collection with drones, and then refined through iterative rounds of community feedback and reflection on the authors' own work with drone-based data collection. We are currently writing a short paper further describing the development of the standard.","abbreviation":"sUAS MIF","year_creation":2020},"legacy_ids":["bsg-001544","bsg-s001544"],"name":"FAIRsharing record for: A minimum information framework the FAIR collection of earth and envionmental science data with drones","abbreviation":"sUAS MIF","url":"https://fairsharing.org/fairsharing_records/1515","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard is a minimum information framework (MIF) for data collected by small unmanned aerial systems (AKA sUAS AKA RPAs AKA drones). A MIF is essentially a framework for the development for further data standards; it lists the metadata needed for the collection of FAIR (Findable Accessible Interoperable and Reusable) scientific data with drones/sUAS/RPAs. The sUAS MIF includes: An entity-relationship model illustrating key data classes and their relationships (file coming soon) sUASMIF.csv: A csv listing the attributes and their definitions for each class. This is the main file for the MIF datadict.txt: a data dictionary defining each column the the main MIF csv The MIF was drafted through examination of 3 case studies of data collection with drones, and then refined through iterative rounds of community feedback and reflection on the authors' own work with drone-based data collection. We are currently writing a short paper further describing the development of the standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Earth Science"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["drones","RPAs","sUAS"],"countries":["South Africa","United States"],"publications":[{"id":4004,"pubmed_id":null,"title":"Making Drone Data FAIR Through a Community-Developed Information Framework","year":2023,"url":"http://dx.doi.org/10.5334/dsj-2023-001","authors":"Barbieri, Lindsay; Wyngaard, Jane; Swanz, Sarah; Thomer, Andrea K.; ","journal":"Data Science Journal","doi":"10.5334/dsj-2023-001","created_at":"2023-10-03T10:13:14.772Z","updated_at":"2023-10-03T10:13:14.772Z"}],"licence_links":[],"grants":[{"id":7610,"fairsharing_record_id":1515,"organisation_id":810,"relation":"funds","created_at":"2021-09-30T09:28:43.622Z","updated_at":"2021-09-30T09:28:43.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":810,"name":"Earth Science Information Partners","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":10970,"fairsharing_record_id":1515,"organisation_id":3013,"relation":"maintains","created_at":"2023-10-03T10:16:06.579Z","updated_at":"2023-10-03T10:16:06.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":3013,"name":"University of Arizona, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10969,"fairsharing_record_id":1515,"organisation_id":4130,"relation":"maintains","created_at":"2023-10-03T10:16:06.578Z","updated_at":"2023-10-03T10:16:06.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":4130,"name":"University of Vermont","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10971,"fairsharing_record_id":1515,"organisation_id":3221,"relation":"maintains","created_at":"2023-10-03T10:16:06.653Z","updated_at":"2023-10-03T10:16:06.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":3221,"name":"Washington University in St Louis, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10972,"fairsharing_record_id":1515,"organisation_id":3039,"relation":"maintains","created_at":"2023-10-03T10:16:06.666Z","updated_at":"2023-10-03T10:16:06.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":3039,"name":"University of Cape Town, Rondebosch, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1516","type":"fairsharing_records","attributes":{"created_at":"2021-03-25T11:49:01.000Z","updated_at":"2022-07-20T09:18:42.069Z","metadata":{"doi":"10.25504/FAIRsharing.f84009","name":"Union List of Artist Names","status":"ready","contacts":[{"contact_name":"ULAN Editors","contact_email":"ULAN@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/ulan/index.html","citations":[],"identifier":1516,"description":"The Union List of Artist Names (ULAN) contains names, relationships, notes, sources, and biographical information for artists, architects, firms, studios, repositories, patrons, and other individuals and corporate bodies, both named and anonymous. Names are included when they are required for the documentation, collection, and discovery of information about art, architecture, and other material culture where the works are of the type collected by art museums and other repositories for visual cultural heritage, or that are architecture. The ULAN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","abbreviation":"ULAN","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabulary Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/ulan/faq.html","name":"ULAN FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/ulan/about.html","name":"About","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/ulan/help.html","name":"How to Use","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/lod/index.html","name":"Getty Vocabularies as Linked Open Data","type":"Help documentation"}],"year_creation":1984},"legacy_ids":["bsg-001600","bsg-s001600"],"name":"FAIRsharing record for: Union List of Artist Names","abbreviation":"ULAN","url":"https://fairsharing.org/10.25504/FAIRsharing.f84009","doi":"10.25504/FAIRsharing.f84009","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Union List of Artist Names (ULAN) contains names, relationships, notes, sources, and biographical information for artists, architects, firms, studios, repositories, patrons, and other individuals and corporate bodies, both named and anonymous. Names are included when they are required for the documentation, collection, and discovery of information about art, architecture, and other material culture where the works are of the type collected by art museums and other repositories for visual cultural heritage, or that are architecture. The ULAN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Art History","Architecture","Art","History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":635,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":636,"relation":"undefined"}],"grants":[{"id":7611,"fairsharing_record_id":1516,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:43.659Z","updated_at":"2022-07-19T18:07:12.865Z","grant_id":null,"is_lead":true,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1498","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:29:16.032Z","metadata":{"doi":"10.25504/FAIRsharing.1gr4tz","name":"Experimental Factor Ontology","status":"ready","contacts":[{"contact_name":"Sirarat Sarntivijai","contact_email":"siiraa@ebi.ac.uk","contact_orcid":"0000-0002-2548-641X"}],"homepage":"https://www.ebi.ac.uk/efo/","citations":[{"doi":"10.1093/bioinformatics/btq099","pubmed_id":20200009,"publication_id":992}],"identifier":1498,"description":"The Experimental Factor Ontology (EFO) is an application focused ontology modelling the experimental variables in multiple resources at the EBI and the Centre for Therapeutic Target Validation. The ontology has been developed to increase the richness of the annotations that are currently made in resources and to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The ontology pulls together classes from reference ontologies such as disease, cell line, cell type and anatomy and adds axiomatisation as necessary to connect areas such as disease to phenotype.","abbreviation":"EFO","support_links":[{"url":"https://www.ebi.ac.uk/efo/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"efo-users@lists.sourceforge.net","name":"efo-users@ebi.ac.uk","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/efo/about.html","name":"About EFO","type":"Help documentation"},{"url":"https://github.com/EBISPOT/efo","name":"GitHub Project","type":"Github"}],"year_creation":2010,"associated_tools":[{"url":"http://www.ebi.ac.uk/efo/webulous","name":"Webulous"},{"url":"https://github.com/EBISPOT/urigen","name":"Urigen"},{"url":"http://www.ebi.ac.uk/efo/bubastis/","name":"Bubastis"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EFO","name":"EFO","portal":"BioPortal"}]},"legacy_ids":["bsg-000082","bsg-s000082"],"name":"FAIRsharing record for: Experimental Factor Ontology","abbreviation":"EFO","url":"https://fairsharing.org/10.25504/FAIRsharing.1gr4tz","doi":"10.25504/FAIRsharing.1gr4tz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Experimental Factor Ontology (EFO) is an application focused ontology modelling the experimental variables in multiple resources at the EBI and the Centre for Therapeutic Target Validation. The ontology has been developed to increase the richness of the annotations that are currently made in resources and to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The ontology pulls together classes from reference ontologies such as disease, cell line, cell type and anatomy and adds axiomatisation as necessary to connect areas such as disease to phenotype.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18268},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17563},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10868},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11262},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11927},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12395}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics"],"domains":["Experimental measurement","Assay","Independent variable","Study design","Genome-wide association study"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":992,"pubmed_id":20200009,"title":"Modeling sample variables with an Experimental Factor Ontology.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq099","authors":"Malone J,Holloway E,Adamusiak T,Kapushesky M,Zheng J,Kolesnikov N,Zhukova A,Brazma A,Parkinson H","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq099","created_at":"2021-09-30T08:24:09.805Z","updated_at":"2021-09-30T08:24:09.805Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2054,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2053,"relation":"undefined"}],"grants":[{"id":7566,"fairsharing_record_id":1498,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:42.083Z","updated_at":"2021-09-30T09:28:42.083Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7570,"fairsharing_record_id":1498,"organisation_id":1098,"relation":"funds","created_at":"2021-09-30T09:28:42.218Z","updated_at":"2021-09-30T09:29:49.991Z","grant_id":425,"is_lead":false,"saved_state":{"id":1098,"name":"GEN2PHEN","grant":"200754","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7569,"fairsharing_record_id":1498,"organisation_id":854,"relation":"funds","created_at":"2021-09-30T09:28:42.193Z","updated_at":"2021-09-30T09:32:36.147Z","grant_id":1694,"is_lead":false,"saved_state":{"id":854,"name":"EMERALD Publishing Limited, Bingley, UK","grant":"LSHG-CT-2006-037686","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7567,"fairsharing_record_id":1498,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:28:42.125Z","updated_at":"2021-09-30T09:28:42.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9298,"fairsharing_record_id":1498,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.705Z","updated_at":"2022-04-11T12:07:28.721Z","grant_id":474,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1499","type":"fairsharing_records","attributes":{"created_at":"2020-07-02T15:18:07.000Z","updated_at":"2022-07-20T11:04:12.797Z","metadata":{"doi":"10.25504/FAIRsharing.ld9wne","name":"Open Data for Access and Mining Structural Metadata","status":"ready","contacts":[{"contact_name":"Daniel Jacob","contact_email":"daniel.jacob@inrae.fr","contact_orcid":"0000-0002-6687-7169"}],"homepage":"https://inrae.github.io/ODAM/data-preparation/","citations":[{"doi":"10.1093/gigascience/giaa144","pubmed_id":33319910,"publication_id":3006}],"identifier":1499,"description":"Open Data for Access and Mining (ODAM) Structural Metadata is a format describing how the metadata should be formatted and what should be included to ensure ODAM compliance for a data set. To comply with this format, two metadata files in TSV format are required in addition to the data file(s). These two files describe the metadata of the dataset, which includes descriptions of measures and structural metadata like references between tables. It is this latter format that is described in this record. The metadata lets non-expert users explore and visualize your data. By making data interoperable and reusable by both humans and machines, it also encourages data dissemination according to FAIR principles. The structural metadata is specified in section three of the listed homepage.","abbreviation":"ODAM Structural Metadata","support_links":[{"url":"https://inrae.github.io/ODAM/","name":"ODAM: User's Guide","type":"Github"},{"url":"https://inrae.github.io/ODAM/json-schema/","name":"Structural Metadata: JSON Datapackage Specification","type":"Github"}],"year_creation":2020,"associated_tools":[{"url":"https://inrae.github.io/ODAM/data-explorer/","name":"ODAM dataexplorer 1.4"},{"url":"https://cran.r-project.org/web/packages/Rodam/","name":"Rodam 0.1.12"}]},"legacy_ids":["bsg-001505","bsg-s001505"],"name":"FAIRsharing record for: Open Data for Access and Mining Structural Metadata","abbreviation":"ODAM Structural Metadata","url":"https://fairsharing.org/10.25504/FAIRsharing.ld9wne","doi":"10.25504/FAIRsharing.ld9wne","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Data for Access and Mining (ODAM) Structural Metadata is a format describing how the metadata should be formatted and what should be included to ensure ODAM compliance for a data set. To comply with this format, two metadata files in TSV format are required in addition to the data file(s). These two files describe the metadata of the dataset, which includes descriptions of measures and structural metadata like references between tables. It is this latter format that is described in this record. The metadata lets non-expert users explore and visualize your data. By making data interoperable and reusable by both humans and machines, it also encourages data dissemination according to FAIR principles. The structural metadata is specified in section three of the listed homepage.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Life Science","Subject Agnostic"],"domains":["Experimental measurement","Data identity and mapping","Protocol","Study design","Experimentally determined","FAIR"],"taxonomies":["All"],"user_defined_tags":["Structured data"],"countries":["France"],"publications":[{"id":3006,"pubmed_id":33319910,"title":"Making experimental data tables in the life sciences more FAIR: a pragmatic approach","year":2020,"url":"http://doi.org/giaa144","authors":"Daniel Jacob , Romain David, Sophie Aubin, Yves Gibon","journal":"Gigascience","doi":"10.1093/gigascience/giaa144","created_at":"2021-09-30T08:28:10.632Z","updated_at":"2021-09-30T08:28:10.632Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":1606,"relation":"undefined"}],"grants":[{"id":7571,"fairsharing_record_id":1499,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:42.243Z","updated_at":"2021-09-30T09:28:42.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1500","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T09:05:19.000Z","updated_at":"2022-07-20T10:42:27.607Z","metadata":{"doi":"10.25504/FAIRsharing.CD2Px7","name":"Minimum Information Required for a Glycomics Experiment - Liquid Chromatography Analysis","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#liquid_chromatography","citations":[{"doi":"https://doi.org/10.1093/glycob/cwz009","publication_id":3065}],"identifier":1500,"description":"Thes LC guidelines are intended to improve the reporting of liquid chromatography (LC) glycan data. The MIRAGE-LC module covers all aspects of instrument setup and modality of data handling and manipulation cross-linked with other MIRAGE recommentations. The following parameters should be included in the report: - equipment used, including the specification of column details \u0026 characteristics, mobile phase, properties of the chromatographic run, pre- and post run processes, column outputs - fractions, data annotation, - exoglycosidase treatment","abbreviation":"MIRAGE LC Guidelines","support_links":[{"url":"mirage@beilstein-institut.de","name":"Dr. Carsten Kettner","type":"Support email"}],"year_creation":2018},"legacy_ids":["bsg-001361","bsg-s001361"],"name":"FAIRsharing record for: Minimum Information Required for a Glycomics Experiment - Liquid Chromatography Analysis","abbreviation":"MIRAGE LC Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.CD2Px7","doi":"10.25504/FAIRsharing.CD2Px7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Thes LC guidelines are intended to improve the reporting of liquid chromatography (LC) glycan data. The MIRAGE-LC module covers all aspects of instrument setup and modality of data handling and manipulation cross-linked with other MIRAGE recommentations. The following parameters should be included in the report: - equipment used, including the specification of column details \u0026 characteristics, mobile phase, properties of the chromatographic run, pre- and post run processes, column outputs - fractions, data annotation, - exoglycosidase treatment","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12126}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Glycomics","Biology"],"domains":["Experimental measurement","Annotation","Chromatography","Protocol"],"taxonomies":["All"],"user_defined_tags":["Glycan Annotation"],"countries":["Australia","Germany","Ireland","United Kingdom","United States"],"publications":[{"id":3065,"pubmed_id":null,"title":"The Minimum Information Required for a Glycomics Experiment (MIRAGE) Project: LC Guidelines","year":2019,"url":"http://doi.org/https://doi.org/10.1093/glycob/cwz009","authors":"Campbell, MP, Abrahams JL, Rapp E., Struwe, WB, Costello CE, Novotny M, Ranzinger R, York WS, Kolarich D, Kettner C","journal":"Glycobiology","doi":"https://doi.org/10.1093/glycob/cwz009","created_at":"2021-09-30T08:28:17.737Z","updated_at":"2021-09-30T08:28:17.737Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2240,"relation":"undefined"}],"grants":[{"id":7572,"fairsharing_record_id":1500,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:42.269Z","updated_at":"2021-09-30T09:28:42.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7575,"fairsharing_record_id":1500,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:28:42.351Z","updated_at":"2021-09-30T09:28:42.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7579,"fairsharing_record_id":1500,"organisation_id":1201,"relation":"maintains","created_at":"2021-09-30T09:28:42.457Z","updated_at":"2021-09-30T09:28:42.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":1201,"name":"Griffith University, Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7577,"fairsharing_record_id":1500,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:42.401Z","updated_at":"2021-09-30T09:28:53.833Z","grant_id":5,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","grant":"MIRAGE","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7573,"fairsharing_record_id":1500,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:42.303Z","updated_at":"2021-09-30T09:28:42.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7574,"fairsharing_record_id":1500,"organisation_id":1327,"relation":"maintains","created_at":"2021-09-30T09:28:42.327Z","updated_at":"2021-09-30T09:28:42.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7576,"fairsharing_record_id":1500,"organisation_id":1790,"relation":"maintains","created_at":"2021-09-30T09:28:42.377Z","updated_at":"2021-09-30T09:28:42.377Z","grant_id":null,"is_lead":false,"saved_state":{"id":1790,"name":"Max Planck Institute for the Dynmics of Complex Technical Systems Magdeburg","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7578,"fairsharing_record_id":1500,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:42.425Z","updated_at":"2021-09-30T09:28:42.425Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWUk9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f1e343a719409d929ea7411c11705b069c2e73b7/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1501","type":"fairsharing_records","attributes":{"created_at":"2021-02-08T12:11:49.000Z","updated_at":"2022-07-20T09:19:50.950Z","metadata":{"doi":"10.25504/FAIRsharing.yhLgTV","name":"Investigation Study Assay JSON","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"isatools@googlegroups.com"}],"homepage":"https://isa-specs.readthedocs.io/en/latest/isajson.html","citations":[],"identifier":1501,"description":"Investigation Study Assay JSON (ISA-JSON) describes the ISA Abstract Model reference implementation specified using the JavaScript Object Notation (JSON) format, a text format for serializing structured data. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","abbreviation":"ISA-JSON","support_links":[{"url":"http://isa-tools.org/blog/index.html","name":"ISA Blog","type":"Blog/News"},{"url":"https://groups.google.com/forum/#!forum/isaforum","name":"ISA Forum","type":"Forum"},{"url":"https://github.com/ISA-tools/ISAdatasets/tree/master/json","name":"Examples","type":"Github"},{"url":"https://twitter.com/isatools","name":"@isatools","type":"Twitter"}]},"legacy_ids":["bsg-001578","bsg-s001578"],"name":"FAIRsharing record for: Investigation Study Assay JSON","abbreviation":"ISA-JSON","url":"https://fairsharing.org/10.25504/FAIRsharing.yhLgTV","doi":"10.25504/FAIRsharing.yhLgTV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Investigation Study Assay JSON (ISA-JSON) describes the ISA Abstract Model reference implementation specified using the JavaScript Object Notation (JSON) format, a text format for serializing structured data. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17366},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14561},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16965}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Reagent","Gene expression","Biological sample","Assay","Protocol","Study design","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7582,"fairsharing_record_id":1501,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:42.622Z","updated_at":"2021-09-30T09:28:42.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7580,"fairsharing_record_id":1501,"organisation_id":1555,"relation":"maintains","created_at":"2021-09-30T09:28:42.551Z","updated_at":"2021-09-30T09:28:42.551Z","grant_id":null,"is_lead":true,"saved_state":{"id":1555,"name":"ISA-Tools, University of Oxford, Oxford, UK","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":7581,"fairsharing_record_id":1501,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:42.588Z","updated_at":"2021-09-30T09:28:42.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7583,"fairsharing_record_id":1501,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:42.658Z","updated_at":"2021-09-30T09:28:42.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1502","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.730Z","metadata":{"doi":"10.25504/FAIRsharing.15025c","name":"Postscript Format","status":"ready","homepage":"http://partners.adobe.com/public/developer/ps/index_specs.html","identifier":1502,"description":"THE POSTSCRIPT® LANGUAGE is a simple interpretive programming language with powerful graphics capabilities. Its primary application is to describe the appearance of text, graphical shapes, and sampled images on printed or displayed pages, according to the Adobe imaging model. A program in this language can communicate a description of a document from a composition system to a printing system or control the appearance of text and graphics on a display. The description is high-level and device-independent.","abbreviation":"Postscript Format","year_creation":1990},"legacy_ids":["bsg-000258","bsg-s000258"],"name":"FAIRsharing record for: Postscript Format","abbreviation":"Postscript Format","url":"https://fairsharing.org/10.25504/FAIRsharing.15025c","doi":"10.25504/FAIRsharing.15025c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: THE POSTSCRIPT® LANGUAGE is a simple interpretive programming language with powerful graphics capabilities. Its primary application is to describe the appearance of text, graphical shapes, and sampled images on printed or displayed pages, according to the Adobe imaging model. A program in this language can communicate a description of a document from a composition system to a printing system or control the appearance of text and graphics on a display. The description is high-level and device-independent.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7584,"fairsharing_record_id":1502,"organisation_id":25,"relation":"maintains","created_at":"2021-09-30T09:28:42.697Z","updated_at":"2021-09-30T09:28:42.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":25,"name":"Adobe","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1503","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:09.086Z","metadata":{"doi":"10.25504/FAIRsharing.2xahkx","name":"Neuroscience Information Framework Dysfunction","status":"deprecated","contacts":[{"contact_name":"Fahim Imam","contact_email":"smtifahim@gmail.com","contact_orcid":"0000-0003-4752-543X"}],"homepage":"http://bioportal.bioontology.org/ontologies/NIFDYS?p=summary","identifier":1503,"description":"This ontology contains the former BIRNLex-Disease, version 1.3.2. -- The BIRN Project lexicon will provide entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. It is built using the organizational framework provided by the foundational Basic Formal Ontology (BFO). It uses an abstract biomedical layer on top of that - OBO-UBO which has been constructed as a proposal to the OBO Foundry. This is meant to support creating a sharable view of core biomedical objects such as biomaterial_entity, and organismal_entity that all biomedical ontologies are likely to need and want to use with the same intended meaning. The BIRNLex was intended to serve as the basis for construction of a formal ontology for the multiscale investigation of neurological disease.","abbreviation":"NIFDYS","support_links":[{"url":"https://neuinfo.org/about/nifvocabularies","name":"About all NIF Vocabularies","type":"Help documentation"},{"url":"https://github.com/SciCrunch/NIF-Ontology","name":"GitHub Project","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFDYS","name":"NIFDYS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/nif_dysfunction.html","name":"nif_dysfunction","portal":"OBO Foundry"}],"deprecation_date":"2021-02-08","deprecation_reason":"This resource has been marked as deprecated by the OBO Foundry."},"legacy_ids":["bsg-000125","bsg-s000125"],"name":"FAIRsharing record for: Neuroscience Information Framework Dysfunction","abbreviation":"NIFDYS","url":"https://fairsharing.org/10.25504/FAIRsharing.2xahkx","doi":"10.25504/FAIRsharing.2xahkx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology contains the former BIRNLex-Disease, version 1.3.2. -- The BIRN Project lexicon will provide entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. It is built using the organizational framework provided by the foundational Basic Formal Ontology (BFO). It uses an abstract biomedical layer on top of that - OBO-UBO which has been constructed as a proposal to the OBO Foundry. This is meant to support creating a sharable view of core biomedical objects such as biomaterial_entity, and organismal_entity that all biomedical ontologies are likely to need and want to use with the same intended meaning. The BIRNLex was intended to serve as the basis for construction of a formal ontology for the multiscale investigation of neurological disease.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Neurobiology","Biomedical Science"],"domains":["Protocol","Study design","Disease","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2112,"relation":"undefined"}],"grants":[{"id":11534,"fairsharing_record_id":1503,"organisation_id":2144,"relation":"maintains","created_at":"2024-03-21T13:58:09.000Z","updated_at":"2024-03-21T13:58:09.000Z","grant_id":null,"is_lead":true,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1504","type":"fairsharing_records","attributes":{"created_at":"2021-03-11T16:13:08.000Z","updated_at":"2023-09-29T11:55:03.278Z","metadata":{"doi":"10.25504/FAIRsharing.zI0vGD","name":"ISO 28500:2017 Information and documentation — Web ARChive file format","status":"ready","contacts":[{"contact_name":"Ms Myounghyun Shim","contact_email":"shmh@korea.kr"}],"homepage":"https://www.iso.org/standard/68004.html","identifier":1504,"description":"The WARC (Web ARChive) file format offers a convention for concatenating multiple resource records (data objects), each consisting of a set of simple text headers and an arbitrary data block into one long file. The WARC format is an extension of the ARC file format (ARC) that has traditionally been used to store “web crawls” as sequences of content blocks harvested from the World Wide Web. Besides the primary content recorded in ARCs, the extended WARC format accommodates related secondary content, such as assigned metadata, abbreviated duplicate detection events, later-date transformations, and segmentation of large resources. The extension may also be useful for more general applications than web archiving. To aid the development of tools that are backwards compatible, WARC content is clearly distinguishable from pre-revision ARC content.","abbreviation":"WARC","support_links":[{"url":"https://iipc.github.io/warc-specifications","name":"GitHub.io Site","type":"Github"},{"url":"http://bibnum.bnf.fr/WARC/","name":"WARC General Information","type":"Help documentation"},{"url":"https://github.com/iipc/warc-specifications","name":"GitHub Project","type":"Github"}],"year_creation":2009},"legacy_ids":["bsg-001596","bsg-s001596"],"name":"FAIRsharing record for: ISO 28500:2017 Information and documentation — Web ARChive file format","abbreviation":"WARC","url":"https://fairsharing.org/10.25504/FAIRsharing.zI0vGD","doi":"10.25504/FAIRsharing.zI0vGD","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WARC (Web ARChive) file format offers a convention for concatenating multiple resource records (data objects), each consisting of a set of simple text headers and an arbitrary data block into one long file. The WARC format is an extension of the ARC file format (ARC) that has traditionally been used to store “web crawls” as sequences of content blocks harvested from the World Wide Web. Besides the primary content recorded in ARCs, the extended WARC format accommodates related secondary content, such as assigned metadata, abbreviated duplicate detection events, later-date transformations, and segmentation of large resources. The extension may also be useful for more general applications than web archiving. To aid the development of tools that are backwards compatible, WARC content is clearly distinguishable from pre-revision ARC content.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7586,"fairsharing_record_id":1504,"organisation_id":1530,"relation":"maintains","created_at":"2021-09-30T09:28:42.767Z","updated_at":"2021-09-30T09:28:42.767Z","grant_id":null,"is_lead":true,"saved_state":{"id":1530,"name":"International Standards Organisation (ISO) ISO/TC 46/SC 4 Technical interoperability","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10946,"fairsharing_record_id":1504,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:51:50.055Z","updated_at":"2023-09-27T14:51:50.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1505","type":"fairsharing_records","attributes":{"created_at":"2021-04-06T14:36:12.000Z","updated_at":"2022-07-20T12:30:07.925Z","metadata":{"doi":"10.25504/FAIRsharing.FxfF4o","name":"Back Pain Consortium Comorbidity Assessment Guidelines","status":"ready","contacts":[{"contact_name":"BACPAC Contact","contact_email":"BACPAC-NIH@mail.nih.gov"}],"homepage":"https://heal.nih.gov/research/clinical-research/back-pain","identifier":1505,"description":"This document includes recommendations for how comorbidities should be assessed in the clinic and via electronic health records. The document recommends ICD-10 codes to be used with the Charlson Comorbidity Index and adds a question regarding COVID diagnosis.","abbreviation":"BACPAC Comorbidity Assessment Guidelines"},"legacy_ids":["bsg-001606","bsg-s001606"],"name":"FAIRsharing record for: Back Pain Consortium Comorbidity Assessment Guidelines","abbreviation":"BACPAC Comorbidity Assessment Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.FxfF4o","doi":"10.25504/FAIRsharing.FxfF4o","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document includes recommendations for how comorbidities should be assessed in the clinic and via electronic health records. The document recommends ICD-10 codes to be used with the Charlson Comorbidity Index and adds a question regarding COVID diagnosis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Behavioural Biology","Biomedical Science","Pain Medicine"],"domains":["Behavior","Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7587,"fairsharing_record_id":1505,"organisation_id":650,"relation":"maintains","created_at":"2021-09-30T09:28:42.808Z","updated_at":"2021-09-30T09:28:42.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":650,"name":"Data Integration, Algorithm Development and Operations Management Center (DAC) for BACPAC, UNC Chapel Hill, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7588,"fairsharing_record_id":1505,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:42.851Z","updated_at":"2021-09-30T09:28:42.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1507","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:54.001Z","metadata":{"doi":"10.25504/FAIRsharing.q15f96","name":"CDISC Laboratory Data Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/lab","identifier":1507,"description":"LAB provides a standard model for the acquisition and exchange of laboratory data, primarily between labs and sponsors or CROs. The LAB standard was specifically designed for the interchange of lab data acquired in clinical trials.","abbreviation":"CDISC LAB"},"legacy_ids":["bsg-000165","bsg-s000165"],"name":"FAIRsharing record for: CDISC Laboratory Data Model","abbreviation":"CDISC LAB","url":"https://fairsharing.org/10.25504/FAIRsharing.q15f96","doi":"10.25504/FAIRsharing.q15f96","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LAB provides a standard model for the acquisition and exchange of laboratory data, primarily between labs and sponsors or CROs. The LAB standard was specifically designed for the interchange of lab data acquired in clinical trials.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11711},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11804},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11954},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12414}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Pharmacogenomics","Preclinical Studies"],"domains":["Data acquisition","Drug","Chemical entity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7595,"fairsharing_record_id":1507,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:43.165Z","updated_at":"2021-09-30T09:28:43.165Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7594,"fairsharing_record_id":1507,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:43.117Z","updated_at":"2021-09-30T09:28:43.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1508","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:08:23.759Z","metadata":{"doi":"10.25504/FAIRsharing.8h2a6z","name":"Article Minimum Information Standard","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"delphine.dauga@gmail.com"}],"homepage":"https://www.aniseed.fr/aniseed/default/submit_data?module=aniseed\u0026action=default:submit_data#tab-4","citations":[],"identifier":1508,"description":"To help authors ensure in the future that necessary information is present in their article, the Article Minimum Information Standard (AMIS) guidelines have been defined. The guideline describes the mandatory (and useful) information that should be mentioned in literature articles to facilitate the curation process. These guidelines extend the minimal information defined by the MISFISHIE format (Deutsch at al. 2008, Nature Biotechnology).","abbreviation":"AMIS","support_links":[{"url":"https://core.ac.uk/reader/289469","type":"Help documentation"},{"url":"aniseedteam@aniseed.fr","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-000109","bsg-s000109"],"name":"FAIRsharing record for: Article Minimum Information Standard","abbreviation":"AMIS","url":"https://fairsharing.org/10.25504/FAIRsharing.8h2a6z","doi":"10.25504/FAIRsharing.8h2a6z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To help authors ensure in the future that necessary information is present in their article, the Article Minimum Information Standard (AMIS) guidelines have been defined. The guideline describes the mandatory (and useful) information that should be mentioned in literature articles to facilitate the curation process. These guidelines extend the minimal information defined by the MISFISHIE format (Deutsch at al. 2008, Nature Biotechnology).","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11569},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11945}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Journal article"],"taxonomies":["All"],"user_defined_tags":["Publishing"],"countries":["France","United States"],"publications":[{"id":1014,"pubmed_id":20647237,"title":"The ANISEED database: digital representation, formalization, and elucidation of a chordate developmental program.","year":2010,"url":"http://doi.org/10.1101/gr.108175.110","authors":"Tassy O,Dauga D,Daian F,Sobral D,Lemaire P et al.","journal":"Genome Res","doi":"10.1101/gr.108175.110","created_at":"2021-09-30T08:24:12.272Z","updated_at":"2021-09-30T08:24:12.272Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2252,"relation":"undefined"}],"grants":[{"id":7597,"fairsharing_record_id":1508,"organisation_id":98,"relation":"maintains","created_at":"2021-09-30T09:28:43.220Z","updated_at":"2021-09-30T09:28:43.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":98,"name":"ANISEED Working Group","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7596,"fairsharing_record_id":1508,"organisation_id":945,"relation":"funds","created_at":"2021-09-30T09:28:43.195Z","updated_at":"2021-09-30T09:28:57.567Z","grant_id":31,"is_lead":false,"saved_state":{"id":945,"name":"European Network, Embryos against Cancer (EAC)","grant":"QLK3-CT-2001-01890","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1509","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:50.907Z","metadata":{"doi":"10.25504/FAIRsharing.54pw8x","name":"Platynereis Developmental STage","status":"deprecated","contacts":[{"contact_name":"Thorsten Heinrich","contact_email":"henrich@embl.de"}],"homepage":"http://www.obofoundry.org/ontology/pd_st.html","identifier":1509,"description":"Developmental stages of Platynereis.","abbreviation":"PD_ST","year_creation":2009,"cross_references":[{"url":"http://www.obofoundry.org/ontology/pdumdv.html","name":"pdumdv","portal":"OBO Foundry"}],"deprecation_date":"2015-04-10","deprecation_reason":"The OBO Foundry lists this ontology as deprecated."},"legacy_ids":["bsg-000013","bsg-s000013"],"name":"FAIRsharing record for: Platynereis Developmental STage","abbreviation":"PD_ST","url":"https://fairsharing.org/10.25504/FAIRsharing.54pw8x","doi":"10.25504/FAIRsharing.54pw8x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Developmental stages of Platynereis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Platynereis"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":48,"pubmed_id":21192805,"title":"The normal development of Platynereis dumerilii (Nereididae, Annelida).","year":2011,"url":"http://doi.org/10.1186/1742-9994-7-31","authors":"Fischer AH,Henrich T,Arendt D","journal":"Front Zool","doi":"10.1186/1742-9994-7-31","created_at":"2021-09-30T08:22:25.531Z","updated_at":"2021-09-30T08:22:25.531Z"}],"licence_links":[],"grants":[{"id":7599,"fairsharing_record_id":1509,"organisation_id":2277,"relation":"undefined","created_at":"2021-09-30T09:28:43.289Z","updated_at":"2021-09-30T09:28:43.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":2277,"name":"Osaka University, Japan","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":7600,"fairsharing_record_id":1509,"organisation_id":941,"relation":"undefined","created_at":"2021-09-30T09:28:43.322Z","updated_at":"2021-09-30T09:28:43.322Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1510","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.507Z","metadata":{"doi":"10.25504/FAIRsharing.kn0d5v","name":"Dendritic cell","status":"deprecated","contacts":[{"contact_name":"Lindsay Cowell","contact_email":"Lindsay.Cowell@utsouthwestern.edu","contact_orcid":"0000-0003-1617-8244"}],"homepage":"http://purl.bioontology.org/ontology/DC_CL","identifier":1510,"description":"\"Dendritic cell\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/DC_CL. This text was generated automatically. If you work on the project responsible for \"Dendritic cell\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"DC_CL","deprecation_date":"2015-04-06","deprecation_reason":"This ontology has been incorporated into the Cell Ontology, and the corresponding terms are maintained there. Please see https://www.biosharing.org/bsg-000009 instead."},"legacy_ids":["bsg-000021","bsg-s000021"],"name":"FAIRsharing record for: Dendritic cell","abbreviation":"DC_CL","url":"https://fairsharing.org/10.25504/FAIRsharing.kn0d5v","doi":"10.25504/FAIRsharing.kn0d5v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Dendritic cell\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/DC_CL. This text was generated automatically. If you work on the project responsible for \"Dendritic cell\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":["Annotation","Dendritic cell","Morphology"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1511","type":"fairsharing_records","attributes":{"created_at":"2020-09-16T12:22:45.000Z","updated_at":"2022-07-20T11:31:46.850Z","metadata":{"doi":"10.25504/FAIRsharing.058d2b","name":"Generic Earth Observation Metadata Standard","status":"ready","contacts":[{"contact_name":"Michael M. Yan","contact_email":"Michael.M.Yan@nasa.gov"}],"homepage":"https://avdc.gsfc.nasa.gov/index.php?site=1925698559","identifier":1511,"description":"The Generic Earth Observation Metadata Standard (GEOMS) is a generic metadata standard used for archiving data from ground based networks and for validating NASA and ESA satellite data. The standard aims to improve the portability and accessibility of geophysical datasets, and makes the contents of those datasets self-describing. Originally applicable to atmospheric and oceanographic datasets, it has expanded to support all measurements from Earth observation instruments. This standard describes the required metadata without requiring any particular format. However, implementations are available in HDF4, HDF5 or netCDF. Additional implementations in other formats can also be created as needed. Measurement-specific templates are available as various extensions of the GEOMS guidelines.","abbreviation":"GEOMS","support_links":[{"url":"https://avdc.gsfc.nasa.gov/index.php?site=1346863537","name":"GEOMS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/GEOMS_%E2%80%93_Generic_Earth_Observation_Metadata_Standard","name":"GEOMS Wikipedia Entry","type":"Wikipedia"}],"year_creation":2002},"legacy_ids":["bsg-001526","bsg-s001526"],"name":"FAIRsharing record for: Generic Earth Observation Metadata Standard","abbreviation":"GEOMS","url":"https://fairsharing.org/10.25504/FAIRsharing.058d2b","doi":"10.25504/FAIRsharing.058d2b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Generic Earth Observation Metadata Standard (GEOMS) is a generic metadata standard used for archiving data from ground based networks and for validating NASA and ESA satellite data. The standard aims to improve the portability and accessibility of geophysical datasets, and makes the contents of those datasets self-describing. Originally applicable to atmospheric and oceanographic datasets, it has expanded to support all measurements from Earth observation instruments. This standard describes the required metadata without requiring any particular format. However, implementations are available in HDF4, HDF5 or netCDF. Additional implementations in other formats can also be created as needed. Measurement-specific templates are available as various extensions of the GEOMS guidelines.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geophysics","Earth Science","Atmospheric Science","Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[],"licence_links":[],"grants":[{"id":7604,"fairsharing_record_id":1511,"organisation_id":2133,"relation":"maintains","created_at":"2021-09-30T09:28:43.446Z","updated_at":"2021-09-30T09:28:43.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":2133,"name":"Network for the Detection of Atmospheric Composition Change (NDACC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7602,"fairsharing_record_id":1511,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:43.387Z","updated_at":"2021-09-30T09:28:43.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9041,"fairsharing_record_id":1511,"organisation_id":957,"relation":"maintains","created_at":"2022-03-28T13:18:55.108Z","updated_at":"2022-03-28T13:18:55.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":957,"name":"European Space Agency","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1497","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-01T10:40:05.997Z","metadata":{"doi":"10.25504/FAIRsharing.53gp75","name":"Investigation Study Assay Tabular","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"isatools@googlegroups.com"}],"homepage":"https://isa-specs.readthedocs.io/en/latest/isatab.html","citations":[],"identifier":1497,"description":"Investigation Study Assay Tabular (ISA-Tab) describes the ISA Abstract Model reference implementation specified using the ISA-Tab format. ISA-Tab files are tab separated value (tsv) files, with specific labeled column structures. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","abbreviation":"ISA-Tab","support_links":[{"url":"http://isa-tools.org/blog/index.html","name":"ISA Blog","type":"Blog/News"},{"url":"https://groups.google.com/forum/#!forum/isaforum","name":"ISA Forum","type":"Forum"},{"url":"isatools@googlegroups.com","name":"ISA Tools Google Group","type":"Mailing list"},{"url":"http://isatab.sourceforge.net/docs/ISA-TAB_release-candidate-1_v1.0_24nov08.pdf","name":"Specification document 24 November 2008","type":"Help documentation"},{"url":"https://isa-specs.readthedocs.io/en/latest/isatab.html","name":"ISA-Tab format 1.0 (28 October 2016)","type":"Help documentation"},{"url":"https://github.com/ISA-tools/ISAdatasets/tree/master/tab","name":"Examples","type":"Github"},{"url":"https://twitter.com/isatools","name":"@isatools","type":"Twitter"}],"year_creation":2010,"associated_tools":[{"url":"http://www.isa-tools.org/tools.html","name":"ISA software Suite (create, edit, and manipulate ISA-tab files)"},{"url":"https://isa-tools.org/tag/phenomenal/index.html","name":"PhenoMeNal"},{"url":"https://github.com/ISA-tools/ISATab-Viewer","name":"ISA-Tab viewer"}]},"legacy_ids":["bsg-000078","bsg-s000078"],"name":"FAIRsharing record for: Investigation Study Assay Tabular","abbreviation":"ISA-Tab","url":"https://fairsharing.org/10.25504/FAIRsharing.53gp75","doi":"10.25504/FAIRsharing.53gp75","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Investigation Study Assay Tabular (ISA-Tab) describes the ISA Abstract Model reference implementation specified using the ISA-Tab format. ISA-Tab files are tab separated value (tsv) files, with specific labeled column structures. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17367},{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17498},{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10910},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11019},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11137},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11188},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11259},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11311},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11859},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11884},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11918},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12143},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12194},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12391},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13355},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16035},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16935}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Genomics","Life Science"],"domains":["Expression data","Experimental measurement","Reagent","Report","Biological sample","Assay","Protocol","Device","DNA microarray","Study design","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":562,"pubmed_id":20679334,"title":"ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq415","authors":"Rocca-Serra P, Brandizi M, Maguire E, Sklyar N, Taylor C, Begley K, Field D, Harris S, Hide W, Hofmann O, Neumann S, Sterk P, Tong W, Sansone SA.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq415","created_at":"2021-09-30T08:23:21.460Z","updated_at":"2021-09-30T08:23:21.460Z"},{"id":601,"pubmed_id":23267176,"title":"OntoMaton: a bioportal powered ontology widget for Google Spreadsheets","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts718","authors":"Eamonn Maguire, Alejandra Gonzalez-Beltran, Trish Whetzel, Susanna-Assunta Sansone, Philippe Rocca-Serra","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts718","created_at":"2021-09-30T08:23:25.903Z","updated_at":"2021-09-30T08:23:25.903Z"},{"id":1973,"pubmed_id":23109552,"title":"MetaboLights--an open-access general-purpose repository for metabolomics studies and associated meta-data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1004","authors":"Haug K, Salek RM, Conesa P, Hastings J, de Matos P, Rijnbeek M, Mahendraker T, Williams M, Neumann S, Rocca-Serra P, Maguire E, González-Beltrán A, Sansone SA, Griffin JL, Steinbeck C.","journal":"Nucleic Acid Research","doi":"10.1093/nar/gks1004","created_at":"2021-09-30T08:26:02.024Z","updated_at":"2021-09-30T08:26:02.024Z"},{"id":3807,"pubmed_id":null,"title":"linkedISA: semantic representation of ISA-Tab experimental metadata","year":2014,"url":"http://dx.doi.org/10.1186/1471-2105-15-S14-S4","authors":"González-Beltrán, Alejandra; Maguire, Eamonn; Sansone, Susanna-Assunta; Rocca-Serra, Philippe; ","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-15-s14-s4","created_at":"2023-03-20T12:19:48.497Z","updated_at":"2023-03-20T12:19:48.497Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":609,"relation":"undefined"}],"grants":[{"id":7562,"fairsharing_record_id":1497,"organisation_id":1555,"relation":"maintains","created_at":"2021-09-30T09:28:41.923Z","updated_at":"2021-09-30T09:28:41.923Z","grant_id":null,"is_lead":false,"saved_state":{"id":1555,"name":"ISA-Tools, University of Oxford, Oxford, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7565,"fairsharing_record_id":1497,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:42.046Z","updated_at":"2021-09-30T09:28:42.046Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8690,"fairsharing_record_id":1497,"organisation_id":3341,"relation":"associated_with","created_at":"2022-01-06T16:34:45.445Z","updated_at":"2022-01-06T16:34:45.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":3341,"name":"EMPHASIS","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":7564,"fairsharing_record_id":1497,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:42.007Z","updated_at":"2021-09-30T09:28:42.007Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7563,"fairsharing_record_id":1497,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:41.966Z","updated_at":"2021-09-30T09:28:41.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1496","type":"fairsharing_records","attributes":{"created_at":"2016-11-02T11:33:52.000Z","updated_at":"2021-11-24T13:18:48.498Z","metadata":{"doi":"10.25504/FAIRsharing.xbg0xd","name":"eXtensible Experiment Markup Language","status":"deprecated","contacts":[{"contact_email":"jaha@uvic.ca"}],"homepage":"http://xeml.codeplex.com/","identifier":1496,"description":"The eXtensible Experiment Markup Language (XEML) is a XML dialect. The language provides a flexible way to formulate experimental setups, encompassing information about environmental parameters in a continuous timeline, individual germplasm information, sampling structure and handling from specified plant material, sample data mapping to heterogeneous databases and general annotations.","abbreviation":"XEML","support_links":[{"url":"kenny.billiau@ki.se","name":"Kenny Billiau","type":"Support email"}],"year_creation":2009,"associated_tools":[{"url":"http://gmd.mpimp-golm.mpg.de/apps/XemlDesigner/","name":"XEML Interactive Designer"}],"deprecation_date":"2020-02-04","deprecation_reason":"The project homepage no longer exists, and we cannot find a current project site. Please get in touch if you have any additional information."},"legacy_ids":["bsg-000686","bsg-s000686"],"name":"FAIRsharing record for: eXtensible Experiment Markup Language","abbreviation":"XEML","url":"https://fairsharing.org/10.25504/FAIRsharing.xbg0xd","doi":"10.25504/FAIRsharing.xbg0xd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eXtensible Experiment Markup Language (XEML) is a XML dialect. The language provides a flexible way to formulate experimental setups, encompassing information about environmental parameters in a continuous timeline, individual germplasm information, sampling structure and handling from specified plant material, sample data mapping to heterogeneous databases and general annotations.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10921}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Canada","France","Germany","Netherlands"],"publications":[{"id":1759,"pubmed_id":19236607,"title":"Xeml Lab: a tool that supports the design of experiments at a graphical interface and generates computer-readable metadata files, which capture information about genotypes, growth conditions, environmental perturbations and sampling strategy.","year":2009,"url":"http://doi.org/10.1111/j.1365-3040.2009.01964.x","authors":"Hannemann J,Poorter H,Usadel B,Blasing OE,Finck A,Tardieu F,Atkin OK,Pons T,Stitt M,Gibon Y","journal":"Plant Cell Environ","doi":"10.1111/j.1365-3040.2009.01964.x","created_at":"2021-09-30T08:25:37.380Z","updated_at":"2021-09-30T08:25:37.380Z"}],"licence_links":[],"grants":[{"id":7561,"fairsharing_record_id":1496,"organisation_id":3145,"relation":"maintains","created_at":"2021-09-30T09:28:41.893Z","updated_at":"2021-09-30T09:28:41.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":3145,"name":"University of Victoria","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1506","type":"fairsharing_records","attributes":{"created_at":"2021-03-19T11:54:03.000Z","updated_at":"2022-07-20T12:50:18.083Z","metadata":{"doi":"10.25504/FAIRsharing.ioEYS5","name":"ATMODAT Standard (v3.0)","status":"ready","contacts":[{"contact_name":"Angelika Heil","contact_email":"heil@dkrz.de","contact_orcid":"0000-0002-8768-5027"}],"homepage":"https://doi.org/10.35095/WDCC/atmodat_standard_en_v3_0","citations":[{"publication_id":2197}],"identifier":1506,"description":"Within the AtMoDat project (Atmospheric Model Data), a standard has been developed which is meant for improving the FAIRness of atmospheric model data published in repositories. The ATMODAT standard includes concrete recommendations related to the maturity, publication and enhanced FAIRness of atmospheric model data. The suggestions include requirements for rich metadata with controlled vocabularies, structured landing pages, file formats (netCDF) and the structure within files. Human- and machine readable landing pages are a core element of this standard, and should hold and present discipline-specific metadata on simulation and variable level.","abbreviation":null,"support_links":[{"url":"info@atmodat.de","name":"contact AtMoDat","type":"Support email"}],"year_creation":2020,"associated_tools":[{"url":"https://github.com/AtMoDat/atmodat_data_checker","name":"atmodat data checker 1.0"}]},"legacy_ids":["bsg-001598","bsg-s001598"],"name":"FAIRsharing record for: ATMODAT Standard (v3.0)","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ioEYS5","doi":"10.25504/FAIRsharing.ioEYS5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Within the AtMoDat project (Atmospheric Model Data), a standard has been developed which is meant for improving the FAIRness of atmospheric model data published in repositories. The ATMODAT standard includes concrete recommendations related to the maturity, publication and enhanced FAIRness of atmospheric model data. The suggestions include requirements for rich metadata with controlled vocabularies, structured landing pages, file formats (netCDF) and the structure within files. Human- and machine readable landing pages are a core element of this standard, and should hold and present discipline-specific metadata on simulation and variable level.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Earth Science","Atmospheric Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2197,"pubmed_id":null,"title":"ATMODAT Standard (v3.0)","year":2021,"url":"https://doi.org/10.35095/WDCC/atmodat_standard_en_v3_0","authors":"Ganske, Anette; Kraft, Angelina; Kaiser, Amandine; Heydebreck, Daniel; Lammert, Andrea; Höck, Heinke; Thiemann, Hannes; Voss, Vivien; Grawe, David; Leitl, Bernd; Schlünzen, K. Heinke; Kretzschmar, Jan; Quaas, Johannes","journal":"WDCC","doi":null,"created_at":"2021-09-30T08:26:27.647Z","updated_at":"2021-09-30T08:26:27.647Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":56,"relation":"undefined"}],"grants":[{"id":7590,"fairsharing_record_id":1506,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:28:42.959Z","updated_at":"2021-09-30T09:29:08.527Z","grant_id":111,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"16QK02A","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9040,"fairsharing_record_id":1506,"organisation_id":3079,"relation":"maintains","created_at":"2022-03-28T13:10:26.494Z","updated_at":"2022-03-28T13:10:26.494Z","grant_id":null,"is_lead":false,"saved_state":{"id":3079,"name":"University of Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7589,"fairsharing_record_id":1506,"organisation_id":1140,"relation":"maintains","created_at":"2021-09-30T09:28:42.878Z","updated_at":"2021-09-30T09:28:42.878Z","grant_id":null,"is_lead":false,"saved_state":{"id":1140,"name":"German National Library of Science and Technology (TIB), Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7592,"fairsharing_record_id":1506,"organisation_id":2973,"relation":"maintains","created_at":"2021-09-30T09:28:43.038Z","updated_at":"2021-09-30T09:28:43.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":2973,"name":"Universitat Hamburg, Hamburg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9043,"fairsharing_record_id":1506,"organisation_id":1136,"relation":"maintains","created_at":"2022-03-28T13:27:36.867Z","updated_at":"2022-03-28T13:27:36.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1136,"name":"German Climate Computing Center, Hamburg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1517","type":"fairsharing_records","attributes":{"created_at":"2016-04-12T14:55:01.000Z","updated_at":"2022-07-20T10:57:24.658Z","metadata":{"doi":"10.25504/FAIRsharing.szrmev","name":"CDISC Controlled Terminology","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/terminology","citations":[],"identifier":1517,"description":"CDISC Controlled Terminology is the set of codelists and valid values used with data items within CDISC-defined datasets. Controlled Terminology provides the values required for submission to FDA and PMDA in CDISC-compliant datasets. Controlled Terminology does not tell you WHAT to collect; it tells you IF you collected a particular data item, how you should submit it in your electronic dataset.","abbreviation":"CDISC CT","support_links":[{"url":"https://www.cdisc.org/education/course/controlled-terminology-0","name":"Controlled Terminology","type":"Training documentation"}],"associated_tools":[{"url":"https://github.com/NCIEVS/nci-diff-cdisc","name":"NCI diff Tool for CDISC Terminology reports"},{"url":"https://ncitermform.nci.nih.gov/ncitermform/?version=cdisc","name":"NCI-EVS term request tracker"}]},"legacy_ids":["bsg-000645","bsg-s000645"],"name":"FAIRsharing record for: CDISC Controlled Terminology","abbreviation":"CDISC CT","url":"https://fairsharing.org/10.25504/FAIRsharing.szrmev","doi":"10.25504/FAIRsharing.szrmev","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC Controlled Terminology is the set of codelists and valid values used with data items within CDISC-defined datasets. Controlled Terminology provides the values required for submission to FDA and PMDA in CDISC-compliant datasets. Controlled Terminology does not tell you WHAT to collect; it tells you IF you collected a particular data item, how you should submit it in your electronic dataset.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17394},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11040},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11812},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12075},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12495}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7613,"fairsharing_record_id":1517,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:28:43.729Z","updated_at":"2021-09-30T09:28:43.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":7616,"fairsharing_record_id":1517,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:28:43.812Z","updated_at":"2021-09-30T09:28:43.812Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7612,"fairsharing_record_id":1517,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:43.698Z","updated_at":"2021-09-30T09:28:43.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7614,"fairsharing_record_id":1517,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:43.758Z","updated_at":"2021-09-30T09:28:43.758Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7615,"fairsharing_record_id":1517,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:28:43.788Z","updated_at":"2021-09-30T09:28:43.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1188","type":"fairsharing_records","attributes":{"created_at":"2020-01-23T12:46:28.000Z","updated_at":"2024-06-11T10:26:56.500Z","metadata":{"doi":"10.25504/FAIRsharing.97805c","name":"International Classification of Diseases Version 11","status":"ready","contacts":[{"contact_name":"ICD 11 Helpdesk","contact_email":"icd11@who.int"}],"homepage":"https://icd.who.int/en","citations":[],"identifier":1188,"description":"The International Classification of Diseases (ICD) was created to allow the recording, reporting and grouping of conditions and factors that influence health. It contains categories for diseases, health related conditions, and external causes of illness or death. The purpose of the ICD is to allow the systematic recording, analysis, interpretation and comparison of mortality and morbidity data collected in different countries or areas and at different times. The ICD is used to translate diagnoses of diseases and other health problems into an alphanumeric code, which allows storage, retrieval, and analysis of the data. The ICD has become the international standard diagnostic classification for all general epidemiological and many health management purposes. ICD-11 was released in 2018 to allow Member States to prepare for implementation, including translating ICD into their national languages. Member States will start reporting using ICD-11 on 1 January 2022.","abbreviation":"ICD 11","support_links":[{"url":"https://www.who.int/classifications/classification-of-diseases","name":"ICD 11 Classification Information","type":"Help documentation"},{"url":"https://icd.who.int/icd11refguide/en/index.html?r","name":"ICD 11 Reference Guide","type":"Help documentation"},{"url":"https://icd.who.int/en/docs/icd11factsheet_en.pdf","name":"ICD 11 Fact Sheet","type":"Help documentation"},{"url":"https://icd.who.int/docs/ICD-11%20Implementation%20or%20Transition%20Guide_v105.pdf","name":"ICD 11 Implementation or Transition Guide","type":"Help documentation"}],"year_creation":2018,"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010799","name":"re3data:r3d100010799","portal":"re3data"}]},"legacy_ids":["bsg-001436","bsg-s001436"],"name":"FAIRsharing record for: International Classification of Diseases Version 11","abbreviation":"ICD 11","url":"https://fairsharing.org/10.25504/FAIRsharing.97805c","doi":"10.25504/FAIRsharing.97805c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Diseases (ICD) was created to allow the recording, reporting and grouping of conditions and factors that influence health. It contains categories for diseases, health related conditions, and external causes of illness or death. The purpose of the ICD is to allow the systematic recording, analysis, interpretation and comparison of mortality and morbidity data collected in different countries or areas and at different times. The ICD is used to translate diagnoses of diseases and other health problems into an alphanumeric code, which allows storage, retrieval, and analysis of the data. The ICD has become the international standard diagnostic classification for all general epidemiological and many health management purposes. ICD-11 was released in 2018 to allow Member States to prepare for implementation, including translating ICD into their national languages. Member States will start reporting using ICD-11 on 1 January 2022.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17333},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12129},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12236},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12551},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16981}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":["Electronic health record","Disease","Diagnosis","Morbidity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":1675,"relation":"undefined"},{"licence_name":"WHO Permission Form for Commercial Use","licence_id":862,"licence_url":"http://www.who.int/about/licensing/copyright_form/en/","link_id":1685,"relation":"undefined"}],"grants":[{"id":6945,"fairsharing_record_id":1188,"organisation_id":3252,"relation":"funds","created_at":"2021-09-30T09:28:19.929Z","updated_at":"2021-09-30T09:28:19.929Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6944,"fairsharing_record_id":1188,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:19.893Z","updated_at":"2021-09-30T09:28:19.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1189","type":"fairsharing_records","attributes":{"created_at":"2015-06-10T13:48:46.000Z","updated_at":"2021-11-24T13:17:37.071Z","metadata":{"doi":"10.25504/FAIRsharing.2vsmz5","name":"Ocean Biogeographic Information System Schema","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"info@iobis.org"}],"homepage":"http://www.iobis.org/data/schema-and-metadata","identifier":1189,"description":"The OBIS schema is a list of data fields with names, descriptions, and format notes. The Ocean Biogeographic information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans.","abbreviation":"OBIS Schema","support_links":[{"url":"http://www.iobis.org/node/179","type":"Contact form"},{"url":"http://www.iobis.org/node/305","type":"Help documentation"},{"url":"http://www.iobis.org/node/304","type":"Help documentation"}],"deprecation_date":"2016-04-20","deprecation_reason":"This resource is no longer active. OBIS has moved entirely to the Dublin Core rather than the OBIS schema. Please see the FAIRsharing record for DwC instead (https://FAIRsharing.org/bsg-000195)."},"legacy_ids":["bsg-000595","bsg-s000595"],"name":"FAIRsharing record for: Ocean Biogeographic Information System Schema","abbreviation":"OBIS Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.2vsmz5","doi":"10.25504/FAIRsharing.2vsmz5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OBIS schema is a list of data fields with names, descriptions, and format notes. The Ocean Biogeographic information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6946,"fairsharing_record_id":1189,"organisation_id":1468,"relation":"maintains","created_at":"2021-09-30T09:28:20.011Z","updated_at":"2021-09-30T09:28:20.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1468,"name":"Intergovernmental Oceanographic Commission of UNESCO (IOC-UNESCO), Paris, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1190","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-07-20T12:48:57.480Z","metadata":{"doi":"10.25504/FAIRsharing.cc3f2x","name":"Ontology of Microbial Phenotypes","status":"ready","contacts":[{"contact_name":"James C. Hu","contact_email":"jimhu@tamu.edu"}],"homepage":"https://microbialphenotypes.org","citations":[{"doi":"10.1186/s12866-014-0294-3","pubmed_id":25433798,"publication_id":2058}],"identifier":1190,"description":"The Ontology of Microbial Phenotypes (OMP) is a community ontology for annotating microbial phenotypes, including bacteria, archaea, protists, fungi, and viruses. It has been created to help with standardized capture of essential phenotypic information. OMP is designed to be compatible with other microbial phenotype ontologies, such as the Fission Yeast Phenotype Ontology (FYPO) and the Ascomycete Phenotype Ontology (APO), and aims to standardize the capture of phenotypic information to allow improved cross-species data mining and analysis.","abbreviation":"OMP","support_links":[{"url":"https://github.com/microbialphenotypes/OMP-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/microbialphenotypes/OMP-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMP","name":"OMP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/omp.html","name":"omp","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001069","bsg-s001069"],"name":"FAIRsharing record for: Ontology of Microbial Phenotypes","abbreviation":"OMP","url":"https://fairsharing.org/10.25504/FAIRsharing.cc3f2x","doi":"10.25504/FAIRsharing.cc3f2x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Microbial Phenotypes (OMP) is a community ontology for annotating microbial phenotypes, including bacteria, archaea, protists, fungi, and viruses. It has been created to help with standardized capture of essential phenotypic information. OMP is designed to be compatible with other microbial phenotype ontologies, such as the Fission Yeast Phenotype Ontology (FYPO) and the Ascomycete Phenotype Ontology (APO), and aims to standardize the capture of phenotypic information to allow improved cross-species data mining and analysis.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12123}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Microbiology","Biology"],"domains":["Phenotype"],"taxonomies":["Archaea","Bacteria","Fungi","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2058,"pubmed_id":25433798,"title":"An ontology for microbial phenotypes.","year":2014,"url":"http://doi.org/10.1186/s12866-014-0294-3","authors":"Chibucos MC,Zweifel AE,Herrera JC,Meza W,Eslamfam S,Uetz P,Siegele DA,Hu JC,Giglio MG","journal":"BMC Microbiol","doi":"10.1186/s12866-014-0294-3","created_at":"2021-09-30T08:26:11.924Z","updated_at":"2021-09-30T08:26:11.924Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1398,"relation":"undefined"}],"grants":[{"id":6948,"fairsharing_record_id":1190,"organisation_id":726,"relation":"maintains","created_at":"2021-09-30T09:28:20.094Z","updated_at":"2021-09-30T09:28:20.094Z","grant_id":null,"is_lead":true,"saved_state":{"id":726,"name":"Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6947,"fairsharing_record_id":1190,"organisation_id":3187,"relation":"maintains","created_at":"2021-09-30T09:28:20.051Z","updated_at":"2021-09-30T09:28:20.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":3187,"name":"Virginia Commonwealth University, Richmond, VA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6949,"fairsharing_record_id":1190,"organisation_id":677,"relation":"maintains","created_at":"2021-09-30T09:28:20.132Z","updated_at":"2021-09-30T09:28:20.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":677,"name":"Department of Biology, Texas A\u0026, M University, College Station, TX, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6950,"fairsharing_record_id":1190,"organisation_id":1381,"relation":"maintains","created_at":"2021-09-30T09:28:20.169Z","updated_at":"2021-09-30T09:28:20.169Z","grant_id":null,"is_lead":true,"saved_state":{"id":1381,"name":"Institute for Genome Sciences, University of Maryland, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1191","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T09:31:40.810Z","metadata":{"doi":"10.25504/FAIRsharing.c0bvcy","name":"Semantic Sensor Network Ontology","status":"ready","contacts":[{"contact_name":"Spatial Data on the Web Working Group","contact_email":"public-sdw-comments@w3.org"}],"homepage":"https://www.w3.org/TR/vocab-ssn/","citations":[{"doi":"10.3233/SW-180320","pubmed_id":null,"publication_id":3329}],"identifier":1191,"description":"The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN (http://www.w3.org/ns/ssn/) and SOSA (http://www.w3.org/ns/sosa/) are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. ","abbreviation":"SSN","support_links":[{"url":"https://www.ogc.org/contacts","name":"Feedback and Contact Form","type":"Contact form"},{"url":"http://ogc.standardstracker.org/","name":"Submit Change Request / Requirement / Comment","type":"Forum"},{"url":"https://github.com/w3c/sdw","type":"Github"},{"url":"https://github.com/w3c/sdw/issues","name":"Submit an issue","type":"Github"}],"year_creation":2017,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SSN","name":"BioPortal:SSN","portal":"BioPortal"},{"url":"http://agroportal.lirmm.fr/ontologies/SSN","name":"Agroportal:SSN","portal":"AgroPortal"}]},"legacy_ids":["bsg-000777","bsg-s000777"],"name":"FAIRsharing record for: Semantic Sensor Network Ontology","abbreviation":"SSN","url":"https://fairsharing.org/10.25504/FAIRsharing.c0bvcy","doi":"10.25504/FAIRsharing.c0bvcy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN (http://www.w3.org/ns/ssn/) and SOSA (http://www.w3.org/ns/sosa/) are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Remote Sensing"],"domains":["Resource metadata","Imaging","Monitoring"],"taxonomies":["All"],"user_defined_tags":["Sensor data","Web of Things","ontology"],"countries":["Australia","France","Germany","United States"],"publications":[{"id":3315,"pubmed_id":null,"title":"The SSN ontology of the W3C semantic sensor network incubator group","year":2012,"url":"http://dx.doi.org/10.1016/j.websem.2012.05.003","authors":"Compton, Michael; Barnaghi, Payam; Bermudez, Luis; García-Castro, Raúl; Corcho, Oscar; Cox, Simon; Graybeal, John; Hauswirth, Manfred; Henson, Cory; Herzog, Arthur; Huang, Vincent; Janowicz, Krzysztof; Kelsey, W. David; Le Phuoc, Danh; Lefort, Laurent; Leggieri, Myriam; Neuhaus, Holger; Nikolov, Andriy; Page, Kevin; Passant, Alexandre; Sheth, Amit; Taylor, Kerry; ","journal":"Journal of Web Semantics","doi":"10.1016/j.websem.2012.05.003","created_at":"2022-04-18T23:18:24.942Z","updated_at":"2022-04-18T23:18:24.942Z"},{"id":3329,"pubmed_id":null,"title":"The Modular SSN Ontology: A Joint W3C and OGC Standard Specifying the Semantics of Sensors, Observations, Sampling, and Actuation","year":2019,"url":"http://www.semantic-web-journal.net/content/modular-ssn-ontology-joint-w3c-and-ogc-standard-specifying-semantics-sensors-observations","authors":"A Haller, K Janowicz, S J D Cox, M LeFrancois, K Taylor, D Le Phuoc, J Lieberman, R Garcia Castro, R A Atkinson, C Stadler","journal":"Semantic Web","doi":"10.3233/SW-180320","created_at":"2022-04-20T06:41:01.631Z","updated_at":"2022-04-20T06:41:01.631Z"},{"id":3330,"pubmed_id":null,"title":"SOSA: A lightweight ontology for sensors, observations, samples, and actuators","year":2018,"url":"https://www.sciencedirect.com/science/article/pii/S1570826818300295?via%3Dihub","authors":"Janowicz, Krzysztof; Haller, Armin; Cox, Simon J.D.; Le Phuoc, Danh; Lefrançois, Maxime; ","journal":"Journal of Web Semantics","doi":"10.1016/J.WEBSEM.2018.06.003","created_at":"2022-04-20T06:43:24.934Z","updated_at":"2022-04-20T06:43:24.934Z"}],"licence_links":[],"grants":[{"id":6951,"fairsharing_record_id":1191,"organisation_id":3203,"relation":"maintains","created_at":"2021-09-30T09:28:20.208Z","updated_at":"2021-09-30T09:28:20.208Z","grant_id":null,"is_lead":true,"saved_state":{"id":3203,"name":"W3C/OGC Spatial Data on the Web Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6952,"fairsharing_record_id":1191,"organisation_id":568,"relation":"maintains","created_at":"2021-09-30T09:28:20.239Z","updated_at":"2021-09-30T09:28:20.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1192","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T13:49:42.000Z","updated_at":"2023-03-23T14:53:26.923Z","metadata":{"doi":"10.25504/FAIRsharing.jbg4kp","name":"Minimum Information Required for a Drug Metabolism Enzymes and Transporters Experiment","status":"deprecated","contacts":[{"contact_name":"Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"http://bioweb.cpgr.org.za/mide/mide.doc","citations":[],"identifier":1192,"description":"Pharmacogenomics studies are expanding exponentially, both in terms of number and amount of data generated. To facilitate future research and diagnostic applications, Affymetrix has developed a microarray targeting known genetic variations in absorption, distribution, metabolism, excretion, toxicity (ADMET) genes. The array, known as Drug Metabolising Enzymes and Transporters (DMET Plus), comprises 1,936 variants across 231genes, including 5 copy number loci involved in drug metabolism and transport. Being designed to identify genetic variants in patients presenting different drug responses and risks for adverse drug reactions, DMET constitutes a valuable tool for pharmacogenomics and clinical studies. For effective DMET data interpretation, sharing, reporting and use across the scientific community, we propose the Minimum Information required for a DMET Experiment reporting (MIDE). MIDE aims to provide reporting guidelines and describe the information required for reporting to public databases. In this article we describe MIDE and discuss its broader applications to other platforms.","abbreviation":"MIDE","support_links":[{"url":"http://www.ktp.cpgr.org.za","type":"Help documentation"}],"year_creation":2011,"deprecation_date":"2023-03-23","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000628","bsg-s000628"],"name":"FAIRsharing record for: Minimum Information Required for a Drug Metabolism Enzymes and Transporters Experiment","abbreviation":"MIDE","url":"https://fairsharing.org/10.25504/FAIRsharing.jbg4kp","doi":"10.25504/FAIRsharing.jbg4kp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pharmacogenomics studies are expanding exponentially, both in terms of number and amount of data generated. To facilitate future research and diagnostic applications, Affymetrix has developed a microarray targeting known genetic variations in absorption, distribution, metabolism, excretion, toxicity (ADMET) genes. The array, known as Drug Metabolising Enzymes and Transporters (DMET Plus), comprises 1,936 variants across 231genes, including 5 copy number loci involved in drug metabolism and transport. Being designed to identify genetic variants in patients presenting different drug responses and risks for adverse drug reactions, DMET constitutes a valuable tool for pharmacogenomics and clinical studies. For effective DMET data interpretation, sharing, reporting and use across the scientific community, we propose the Minimum Information required for a DMET Experiment reporting (MIDE). MIDE aims to provide reporting guidelines and describe the information required for reporting to public databases. In this article we describe MIDE and discuss its broader applications to other platforms.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11598},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11726},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12042},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12477}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Drug Discovery","Pharmacogenomics","Biomedical Science"],"domains":["Gene report","Drug report","Drug metabolic process"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":2018,"pubmed_id":27548815,"title":"Minimum information required for a DMET experiment reporting","year":2016,"url":"http://doi.org/10.2217/pgs-2016-0015","authors":"Judit Kumuthini*, Mamana Mbiyavanga, Emile R Chimusa, Jyotishman Pathak, Panu Somervuo, Ron HN Van Schaik, Vita Dolzan, Clint Mizzi, Kusha Kalideen, Raj S Ramesar, Milan Macek, George P Patrinos, \u0026 Alessio Squassina","journal":"Pharmacogenomics","doi":"10.2217/pgs-2016-0015","created_at":"2021-09-30T08:26:07.347Z","updated_at":"2021-09-30T08:26:07.347Z"}],"licence_links":[],"grants":[{"id":6953,"fairsharing_record_id":1192,"organisation_id":468,"relation":"maintains","created_at":"2021-09-30T09:28:20.268Z","updated_at":"2021-09-30T09:28:20.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":468,"name":"Centre for Proteomic and Genomic Research (CPGR), Cape Town, South Africa","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6955,"fairsharing_record_id":1192,"organisation_id":1275,"relation":"funds","created_at":"2021-09-30T09:28:20.352Z","updated_at":"2021-09-30T09:28:20.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1275,"name":"Human Heredity and Health in Africa (H3Africa) Initiative, National Institutes of Health, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6954,"fairsharing_record_id":1192,"organisation_id":1207,"relation":"funds","created_at":"2021-09-30T09:28:20.311Z","updated_at":"2021-09-30T09:32:33.063Z","grant_id":1670,"is_lead":false,"saved_state":{"id":1207,"name":"H3ABioNet","grant":"NIH Common Fund Award /NHGRI Grant Number U41HG006941 through H3AbioNet project","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1193","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:45.342Z","metadata":{"doi":"10.25504/FAIRsharing.qs4x5m","name":"Microarray and Gene Expression Data Ontology","status":"deprecated","contacts":[{"contact_name":"Chris Stoeckert","contact_email":"stoeckrt@pcbi.upenn.edu","contact_orcid":"0000-0002-5714-991X"}],"homepage":"http://mged.sourceforge.net/ontologies/MGEDontology.php","identifier":1193,"description":"The MGED Ontology is a top level container for the MGEDCoreOntology and the MGEDExtendedOntology. The MGED ontology describes microarray experiments and is split into the MGEDCoreOntology, which supports MAGE-OM v1.0 and is organized consistently with MAGE, and the MGEDExtendedOntology, which expands MAGE v1.0 and contains concepts and relationships which are not included in MAGE. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/MO. If you work on the project responsible for \"MGED Ontology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"MO","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MO","name":"MO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mo.html","name":"mo","portal":"OBO Foundry"}],"deprecation_date":"2016-02-25","deprecation_reason":"This resource has been integrated into the Ontology for Biomedical Investigations and is no longer maintained."},"legacy_ids":["bsg-000067","bsg-s000067"],"name":"FAIRsharing record for: Microarray and Gene Expression Data Ontology","abbreviation":"MO","url":"https://fairsharing.org/10.25504/FAIRsharing.qs4x5m","doi":"10.25504/FAIRsharing.qs4x5m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MGED Ontology is a top level container for the MGEDCoreOntology and the MGEDExtendedOntology. The MGED ontology describes microarray experiments and is split into the MGEDCoreOntology, which supports MAGE-OM v1.0 and is organized consistently with MAGE, and the MGEDExtendedOntology, which expands MAGE v1.0 and contains concepts and relationships which are not included in MAGE. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/MO. If you work on the project responsible for \"MGED Ontology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12090}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Assay","DNA microarray","Transcript"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":7,"pubmed_id":16428806,"title":"The MGED Ontology: a resource for semantics-based description of microarray experiments.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl005","authors":"Whetzel PL, Parkinson H, Causton HC, Fan L, Fostel J, Fragoso G, Game L, Heiskanen M, Morrison N, Rocca-Serra P, Sansone SA, Taylor C, White J, Stoeckert CJ Jr","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl005","created_at":"2021-09-30T08:22:21.289Z","updated_at":"2021-09-30T08:22:21.289Z"}],"licence_links":[],"grants":[{"id":6957,"fairsharing_record_id":1193,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:28:20.582Z","updated_at":"2021-09-30T09:28:20.582Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6956,"fairsharing_record_id":1193,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:20.545Z","updated_at":"2021-09-30T09:28:54.626Z","grant_id":11,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"273-02-C-0027","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8269,"fairsharing_record_id":1193,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:50.874Z","updated_at":"2021-09-30T09:31:50.937Z","grant_id":1354,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1P41HG003619","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6959,"fairsharing_record_id":1193,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:20.638Z","updated_at":"2021-09-30T09:28:20.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1166","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-14T15:12:49.406Z","metadata":{"doi":"10.25504/FAIRsharing.nwgynk","name":"eagle-i Research Resource Ontology","status":"deprecated","contacts":[{"contact_name":"Carlo Torniai","contact_email":"carlotorniai@gmail.com","contact_orcid":"0000-0002-3734-1859"}],"homepage":"https://open.catalyst.harvard.edu/wiki/display/eaglei/Ontology","citations":[],"identifier":1166,"description":"A unique feature of the eagle-i software is that the data collection and search tools are completely driven by ontologies. These ontologies are a set of modules that are written in the OWL language and edited and managed using Protégé. Beginning in 2009, the eagle-i Research Resource Ontology (ERO) was developed alongside the eagle-i applications to model various biomedical research resources such as instruments, Core Facilities, protocols, reagents, animal models and biospecimens. It has now been integrated into the VIVO-ISF Ontology, which leverages and expands upon both the eagle-i and VIVO ontologies to create a semantic framework that describes not only scientific resources but research activities and clinical activities.","abbreviation":"ERO","support_links":[{"url":"info@eagle-i.org","name":"General enquiries","type":"Support email"},{"url":"https://open.med.harvard.edu/mailman/listinfo/eagle-i-admins","name":"Eagle-i-admins","type":"Mailing list"},{"url":"https://open.med.harvard.edu/mailman/listinfo/shrine-users","name":"Shrine-users","type":"Mailing list"},{"url":"https://docs.google.com/document/d/1Radat4PqKJuWktxJ3RgxWp_osfW07RZ6-EBVLG8YAsw/edit","type":"Help documentation"},{"url":"https://open.med.harvard.edu/wiki/display/eaglei/Training","type":"Training documentation"}],"year_creation":2009,"associated_tools":[{"url":"https://open.med.harvard.edu/wiki/display/eaglei/Software+downloads","name":"Eagle-i software"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ERO","name":"ERO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ero.html","name":"ero","portal":"OBO Foundry"}],"deprecation_date":"2023-09-14","deprecation_reason":"The eagle-i software and associated ontology is still available to the open-source community, but is no longer supported or maintained. The eagle-i National Network and eagle-i resource search was retired on November 4, 2021. For more information, please see https://open.catalyst.harvard.edu/products/eagle-i/"},"legacy_ids":["bsg-002790","bsg-s002790"],"name":"FAIRsharing record for: eagle-i Research Resource Ontology","abbreviation":"ERO","url":"https://fairsharing.org/10.25504/FAIRsharing.nwgynk","doi":"10.25504/FAIRsharing.nwgynk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A unique feature of the eagle-i software is that the data collection and search tools are completely driven by ontologies. These ontologies are a set of modules that are written in the OWL language and edited and managed using Protégé. Beginning in 2009, the eagle-i Research Resource Ontology (ERO) was developed alongside the eagle-i applications to model various biomedical research resources such as instruments, Core Facilities, protocols, reagents, animal models and biospecimens. It has now been integrated into the VIVO-ISF Ontology, which leverages and expands upon both the eagle-i and VIVO ontologies to create a semantic framework that describes not only scientific resources but research activities and clinical activities.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10882}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Reagent","Biological sample","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":194,"pubmed_id":29599662,"title":"Automating data citation: the eagle-i experience.","year":2018,"url":"http://doi.org/10.1109/JCDL.2017.7991571","authors":"Alawini A,Chen L,Davidson SB,Da Silva NP,Silvello G","journal":"Proc ACM/IEEE Joint Conf Digit Libr","doi":"10.1109/JCDL.2017.7991571","created_at":"2021-09-30T08:22:41.206Z","updated_at":"2021-09-30T08:22:41.206Z"},{"id":742,"pubmed_id":22434835,"title":"Research resources: curating the new eagle-i discovery system.","year":2012,"url":"http://doi.org/10.1093/database/bar067","authors":"Vasilevsky N,Johnson T,Corday K,Torniai C,Brush M,Segerdell E,Wilson M,Shaffer C,Robinson D,Haendel M","journal":"Database (Oxford)","doi":"10.1093/database/bar067","created_at":"2021-09-30T08:23:41.711Z","updated_at":"2021-09-30T08:23:41.711Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1581,"relation":"undefined"}],"grants":[{"id":6913,"fairsharing_record_id":1166,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:28:18.693Z","updated_at":"2021-09-30T09:28:18.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1167","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:27.977Z","metadata":{"doi":"10.25504/FAIRsharing.jjb2p2","name":"Vital Sign Ontology","status":"uncertain","contacts":[{"contact_name":"Albert Goldfain","contact_email":"albertgoldfain@gmail.com"}],"homepage":"https://code.google.com/p/vital-sign-ontology/","identifier":1167,"description":"The Vital Sign Ontology (VSO) is an extension of the Ontology for General Medical Science (OGMS). VSO covers the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. VSO provides also a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.","abbreviation":"VSO","support_links":[{"url":"http://ontology.buffalo.edu/smith/articles/Vital_Sign_Ontology.pdf","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VSO","name":"VSO","portal":"BioPortal"}]},"legacy_ids":["bsg-002834","bsg-s002834"],"name":"FAIRsharing record for: Vital Sign Ontology","abbreviation":"VSO","url":"https://fairsharing.org/10.25504/FAIRsharing.jjb2p2","doi":"10.25504/FAIRsharing.jjb2p2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vital Sign Ontology (VSO) is an extension of the Ontology for General Medical Science (OGMS). VSO covers the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. VSO provides also a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science"],"domains":["Experimental measurement","Blood"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[],"licence_links":[],"grants":[{"id":6914,"fairsharing_record_id":1167,"organisation_id":3198,"relation":"maintains","created_at":"2021-09-30T09:28:18.731Z","updated_at":"2021-09-30T09:28:18.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":3198,"name":"VSO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1168","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T12:47:28.000Z","updated_at":"2023-09-29T11:54:58.989Z","metadata":{"doi":"10.25504/FAIRsharing.be4cf1","name":"Systems to manage terminology, knowledge and content -- Design, implementation and maintenance of terminology management systems","status":"deprecated","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/43427.html","citations":[],"identifier":1168,"description":"ISO 26162:2012 specifies criteria for designing, implementing and maintaining terminology management systems (TMS). It provides information about the rationale for using a TMS, types of users and users' needs, steps in designing and implementing a TMS as well as the tasks of organizing and managing a terminological data collection (TDC). It also provides guidelines for selecting and using data categories for managing terminology in various environments. It is intended for terminologists, software developers and others who are involved in the process of developing or acquiring a TMS.","abbreviation":"ISO 26162:2012","support_links":[{"url":"https://www.iso.org/contents/data/standard/04/34/43427.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2012,"deprecation_date":"2022-06-27","deprecation_reason":"This resource has now been withdrawn in favour of a more recent version."},"legacy_ids":["bsg-001279","bsg-s001279"],"name":"FAIRsharing record for: Systems to manage terminology, knowledge and content -- Design, implementation and maintenance of terminology management systems","abbreviation":"ISO 26162:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.be4cf1","doi":"10.25504/FAIRsharing.be4cf1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 26162:2012 specifies criteria for designing, implementing and maintaining terminology management systems (TMS). It provides information about the rationale for using a TMS, types of users and users' needs, steps in designing and implementing a TMS as well as the tasks of organizing and managing a terminological data collection (TDC). It also provides guidelines for selecting and using data categories for managing terminology in various environments. It is intended for terminologists, software developers and others who are involved in the process of developing or acquiring a TMS.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Data Management","Ontology and Terminology","Linguistics"],"domains":["Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":15,"relation":"undefined"}],"grants":[{"id":6915,"fairsharing_record_id":1168,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:18.763Z","updated_at":"2021-09-30T09:28:18.763Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10927,"fairsharing_record_id":1168,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:17:53.545Z","updated_at":"2023-09-27T14:17:53.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1194","type":"fairsharing_records","attributes":{"created_at":"2017-12-22T14:31:09.000Z","updated_at":"2021-11-24T13:18:12.044Z","metadata":{"doi":"10.25504/FAIRsharing.89hcdg","name":"Patient Derived Xenograft Minimum Information","status":"ready","contacts":[{"contact_name":"Terry Meehan","contact_email":"tmeehan@ebi.ac.uk","contact_orcid":"0000-0003-1980-3228"}],"homepage":"https://www.ncbi.nlm.nih.gov/pubmed/29092942","identifier":1194,"description":"Patients-derived tumor xenograft (PDX) mouse models are an important oncology research platform to study tumor evolution, drug response and personalised medicine approaches. We identified critical attributes to accurately describe PDX production and usage and proposed the PDX-Minimum information (PDX-MI) standard, which defines the minimal information for describing the clinical attributes of a patient’s tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use PDX models in cancer research. PDX-MI standard is the result of the collaborative work from more than 50 worldwide experts over 30 worldwide institutions.","abbreviation":"PDX-MI","support_links":[{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","name":"MTB PDX","type":"Contact form"}],"year_creation":2017},"legacy_ids":["bsg-001093","bsg-s001093"],"name":"FAIRsharing record for: Patient Derived Xenograft Minimum Information","abbreviation":"PDX-MI","url":"https://fairsharing.org/10.25504/FAIRsharing.89hcdg","doi":"10.25504/FAIRsharing.89hcdg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Patients-derived tumor xenograft (PDX) mouse models are an important oncology research platform to study tumor evolution, drug response and personalised medicine approaches. We identified critical attributes to accurately describe PDX production and usage and proposed the PDX-Minimum information (PDX-MI) standard, which defines the minimal information for describing the clinical attributes of a patient’s tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use PDX models in cancer research. PDX-MI standard is the result of the collaborative work from more than 50 worldwide experts over 30 worldwide institutions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12534}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Translational Medicine","Preclinical Studies"],"domains":["Model organism","Cancer"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Patient derived xenograft PDX"],"countries":["United Kingdom"],"publications":[{"id":2797,"pubmed_id":29092942,"title":"PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models.","year":2017,"url":"http://doi.org/10.1158/0008-5472.CAN-17-0582","authors":"Meehan TF, Conte N, Goldstein T, Inghirami G, Murakami MA, Brabetz S, Gu Z, Wiser JA, Dunn P, Begley DA, Krupke DM, Bertotti A, Bruna A, Brush MH, Byrne AT, Caldas C, Christie AL, Clark DA, Dowst H, Dry JR, Doroshow JH, Duchamp O, Evrard YA, Ferretti S, Frese KK, Goodwin NC, Greenawalt D, Haendel MA, Hermans E, Houghton PJ, Jonkers J, Kemper K, Khor TO, Lewis MT, Lloyd KCK, Mason J, Medico E, Neuhauser SB, Olson JM, Peeper DS, Rueda OM, Seong JK, Trusolino L, Vinolo E, Wechsler-Reya RJ, Weinstock DM, Welm A, Weroha SJ, Amant F, Pfister SM, Kool M, Parkinson H, Butte AJ, Bult CJ.","journal":"Cancer Research","doi":"10.1158/0008-5472.CAN-17-0582","created_at":"2021-09-30T08:27:43.939Z","updated_at":"2021-09-30T08:27:43.939Z"}],"licence_links":[],"grants":[{"id":6960,"fairsharing_record_id":1194,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:28:20.664Z","updated_at":"2021-09-30T09:28:20.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6961,"fairsharing_record_id":1194,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:28:20.694Z","updated_at":"2021-09-30T09:28:20.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1195","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-04T18:16:07.625Z","metadata":{"doi":"10.25504/FAIRsharing.sp3szt","name":"SoftWare Ontology","status":"ready","contacts":[{"contact_name":"Allyson Lister","contact_email":"allyson.lister@oerc.ox.ac.uk","contact_orcid":"0000-0002-7702-4495"}],"homepage":"https://github.com/allysonlister/swo","citations":[{"doi":"10.1186/2041-1480-5-25","pubmed_id":25068035,"publication_id":801}],"identifier":1195,"description":"The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. SWO also covers software manufacturer, input and output data types and the uses (i.e. objectives) to which the software can be put.","abbreviation":"SWO","support_links":[{"url":"https://softwareontology.wordpress.com","name":"SWO Blog","type":"Blog/News"},{"url":"https://github.com/allysonlister/swo/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011,"associated_tools":[{"url":"http://www.ebi.ac.uk/ols/ontologies/swo","name":"Access via OLS (EBI)"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SWO","name":"SWO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/swo.html","name":"swo","portal":"OBO Foundry"},{"url":"https://www.ebi.ac.uk/ols/ontologies/swo","name":"SWO in OLS","portal":"OLS"}]},"legacy_ids":["bsg-000150","bsg-s000150"],"name":"FAIRsharing record for: SoftWare Ontology","abbreviation":"SWO","url":"https://fairsharing.org/10.25504/FAIRsharing.sp3szt","doi":"10.25504/FAIRsharing.sp3szt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. SWO also covers software manufacturer, input and output data types and the uses (i.e. objectives) to which the software can be put.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11150}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Computer Science"],"domains":["Algorithm","Workflow","Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":801,"pubmed_id":25068035,"title":"The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-25","authors":"Malone J,Brown A,Lister AL,Ison J,Hull D,Parkinson H,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-25","created_at":"2021-09-30T08:23:48.315Z","updated_at":"2021-09-30T08:23:48.315Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1277,"relation":"undefined"}],"grants":[{"id":6964,"fairsharing_record_id":1195,"organisation_id":2517,"relation":"maintains","created_at":"2021-09-30T09:28:20.793Z","updated_at":"2021-09-30T09:28:20.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":2517,"name":"School of Medicine, University of Manchester, Manchester M13 9PT, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6966,"fairsharing_record_id":1195,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:20.865Z","updated_at":"2021-09-30T09:28:55.017Z","grant_id":14,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/C536444/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6962,"fairsharing_record_id":1195,"organisation_id":2691,"relation":"maintains","created_at":"2021-09-30T09:28:20.739Z","updated_at":"2021-09-30T09:28:20.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":2691,"name":"SWO administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6963,"fairsharing_record_id":1195,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:20.764Z","updated_at":"2021-09-30T09:28:20.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6965,"fairsharing_record_id":1195,"organisation_id":1600,"relation":"funds","created_at":"2021-09-30T09:28:20.833Z","updated_at":"2021-09-30T09:28:20.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6967,"fairsharing_record_id":1195,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:20.888Z","updated_at":"2021-09-30T09:28:20.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8103,"fairsharing_record_id":1195,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:30:58.613Z","updated_at":"2021-09-30T09:30:58.666Z","grant_id":961,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/G026238/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1196","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T16:00:30.000Z","updated_at":"2023-06-02T15:00:56.691Z","metadata":{"doi":"10.25504/FAIRsharing.nK2JoH","name":"French Communes","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/D63/en/","citations":[],"identifier":1196,"description":"This thesaurus lists all the French communes including metropolitan France and overseas regions and departments. The current communes (including those created in 2018) are attached to their department; the delegated, merged or associated communes are attached to the corresponding current commune. The different entries are mapped to l'INSEE, GeoNames, PACTOLS, Rameau, Wikidata and Wikipedia. Available in English and French.","abbreviation":"French Communes","year_creation":2018},"legacy_ids":["bsg-001418","bsg-s001418"],"name":"FAIRsharing record for: French Communes","abbreviation":"French Communes","url":"https://fairsharing.org/10.25504/FAIRsharing.nK2JoH","doi":"10.25504/FAIRsharing.nK2JoH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This thesaurus lists all the French communes including metropolitan France and overseas regions and departments. The current communes (including those created in 2018) are attached to their department; the delegated, merged or associated communes are attached to the corresponding current commune. The different entries are mapped to l'INSEE, GeoNames, PACTOLS, Rameau, Wikidata and Wikipedia. Available in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11303}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Communes","France"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1818,"relation":"undefined"}],"grants":[{"id":6968,"fairsharing_record_id":1196,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:21.068Z","updated_at":"2021-09-30T09:28:21.068Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1136","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T11:35:42.000Z","updated_at":"2024-05-02T13:22:18.982Z","metadata":{"doi":"10.25504/FAIRsharing.wvgta9","name":"Hierarchical Data Format","status":"ready","contacts":[{"contact_name":"Markus W. Covert","contact_email":"mcovert@stanford.edu"}],"homepage":"http://www.hdfgroup.org/HDF5/","citations":[],"identifier":1136,"description":"HDF5 is a data model, library, and file format for storing and managing data. It supports an unlimited variety of datatypes, and is designed for flexible and efficient I/O and for high volume and complex data. HDF5 is portable and is extensible, allowing applications to evolve in their use of HDF5. The HDF5 Technology suite includes tools and applications for managing, manipulating, viewing, and analyzing data in the HDF5 format.","abbreviation":"HDF5","support_links":[{"url":"help@hdfgroup.org","type":"Support email"},{"url":"https://support.hdfgroup.org/HDF5-FAQ.html","name":"HDF5 FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://support.hdfgroup.org/HDF5/Tutor/","name":"HDF5 Tutorial","type":"Help documentation"},{"url":"https://docs.hdfgroup.org/hdf5/v1_14/v1_14_4/_u_g.html","name":"HDF5 User Guide","type":"Help documentation"},{"url":"https://portal.hdfgroup.org/documentation/","name":"HDF Group Documentation","type":"Help documentation"},{"url":"https://github.com/HDFGroup/hdf5","name":"HDF Group GitHub","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"http://edamontology.org/format_3590","name":"EDAM","portal":"BioPortal"}]},"legacy_ids":["bsg-000575","bsg-s000575"],"name":"FAIRsharing record for: Hierarchical Data Format","abbreviation":"HDF5","url":"https://fairsharing.org/10.25504/FAIRsharing.wvgta9","doi":"10.25504/FAIRsharing.wvgta9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HDF5 is a data model, library, and file format for storing and managing data. It supports an unlimited variety of datatypes, and is designed for flexible and efficient I/O and for high volume and complex data. HDF5 is portable and is extensible, allowing applications to evolve in their use of HDF5. The HDF5 Technology suite includes tools and applications for managing, manipulating, viewing, and analyzing data in the HDF5 format.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14730}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Computational Biology","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":4258,"pubmed_id":null,"title":"An overview of the HDF5 technology suite and its applications","year":2011,"url":"http://dx.doi.org/10.1145/1966895.1966900","authors":"Folk, Mike; Heber, Gerd; Koziol, Quincey; Pourmal, Elena; Robinson, Dana; ","journal":"Proceedings of the EDBT/ICDT 2011 Workshop on Array Databases","doi":"10.1145/1966895.1966900","created_at":"2024-04-20T00:05:29.721Z","updated_at":"2024-04-20T00:05:29.721Z"}],"licence_links":[{"licence_name":"HDF5 BSD-style Open Source","licence_id":383,"licence_url":"https://support.hdfgroup.org/ftp/HDF5/releases/COPYING","link_id":1275,"relation":"undefined"},{"licence_name":"HDF Group Licenses","licence_id":1105,"licence_url":"https://www.hdfgroup.org/licenses","link_id":3610,"relation":"applies_to_content"}],"grants":[{"id":6853,"fairsharing_record_id":1136,"organisation_id":2784,"relation":"maintains","created_at":"2021-09-30T09:28:16.410Z","updated_at":"2024-04-20T00:04:07.320Z","grant_id":null,"is_lead":true,"saved_state":{"id":2784,"name":"The HDF Group","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1137","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T15:09:09.000Z","updated_at":"2023-06-02T15:13:39.851Z","metadata":{"doi":"10.25504/FAIRsharing.LcyXdU","name":"Thesaurus Cognitive psychology of human memory","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/P66/en/","citations":[],"identifier":1137,"description":"This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the cognitive psychology of human memory (memory systems and processes, empirical effects, memory disorders, study methods, theories and models), organized in the form of hierarchical (generic and specific terms), equivalence (synonyms) and association relationships. Most of the concepts are presented with a definition and a bibliography. Notes have been added to some of them (only in French for the moment). The resource is mapped to the Cognitive Atlas, Wikipedia, wikidata and the Santé Psy thesaurus. This resource consists of 870 terminological entries grouped into 18 collections.","abbreviation":null,"year_creation":2014},"legacy_ids":["bsg-001421","bsg-s001421"],"name":"FAIRsharing record for: Thesaurus Cognitive psychology of human memory","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LcyXdU","doi":"10.25504/FAIRsharing.LcyXdU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the cognitive psychology of human memory (memory systems and processes, empirical effects, memory disorders, study methods, theories and models), organized in the form of hierarchical (generic and specific terms), equivalence (synonyms) and association relationships. Most of the concepts are presented with a definition and a bibliography. Notes have been added to some of them (only in French for the moment). The resource is mapped to the Cognitive Atlas, Wikipedia, wikidata and the Santé Psy thesaurus. This resource consists of 870 terminological entries grouped into 18 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11304}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Psychology","Cognitive Neuroscience"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Human memory"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1821,"relation":"undefined"}],"grants":[{"id":6855,"fairsharing_record_id":1137,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.486Z","updated_at":"2021-09-30T09:28:16.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6854,"fairsharing_record_id":1137,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.448Z","updated_at":"2021-09-30T09:28:16.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1138","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T18:21:42.000Z","updated_at":"2023-09-29T11:54:55.925Z","metadata":{"doi":"10.25504/FAIRsharing.3810da","name":"Information technology -- Processing languages -- Document Style Semantics and Specification Language (DSSSL)","status":"ready","contacts":[{"contact_name":"Toshiko Kimura","contact_email":"kimura@itscj.ipsj.or.jp"}],"homepage":"https://www.iso.org/standard/18196.html","citations":[],"identifier":1138,"description":"Document Style Semantics and Specification Language (DSSSL) defines the semantics, syntax, and processing model of languages for the specification of documentation processing. Specifies the processing of valid Standard Generalized Markup Language (SGML) documents. Provides means for externalization of style characteristics and other techniques for associating style information with an SGML document.","abbreviation":"ISO/IEC 10179:1996","support_links":[{"url":"https://www.iso.org/contents/data/standard/01/81/18196.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1996},"legacy_ids":["bsg-001239","bsg-s001239"],"name":"FAIRsharing record for: Information technology -- Processing languages -- Document Style Semantics and Specification Language (DSSSL)","abbreviation":"ISO/IEC 10179:1996","url":"https://fairsharing.org/10.25504/FAIRsharing.3810da","doi":"10.25504/FAIRsharing.3810da","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Document Style Semantics and Specification Language (DSSSL) defines the semantics, syntax, and processing model of languages for the specification of documentation processing. Specifies the processing of valid Standard Generalized Markup Language (SGML) documents. Provides means for externalization of style characteristics and other techniques for associating style information with an SGML document.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Subject Agnostic","Linguistics"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":973,"relation":"undefined"}],"grants":[{"id":10910,"fairsharing_record_id":1138,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:04:41.805Z","updated_at":"2023-09-27T14:04:41.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6856,"fairsharing_record_id":1138,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:28:16.523Z","updated_at":"2021-09-30T09:28:16.523Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1184","type":"fairsharing_records","attributes":{"created_at":"2019-02-14T13:28:47.000Z","updated_at":"2022-07-20T12:27:58.022Z","metadata":{"doi":"10.25504/FAIRsharing.6yNXYK","name":"Plant Experimental Condition Ontology","status":"ready","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu"}],"homepage":"https://github.com/Planteome/plant-experimental-conditions-ontology","identifier":1184,"description":"PECO is a structured, controlled vocabulary for the representation of plant experimental conditions. It describes the treatments, growing conditions, and/or study types used in various types of plant biology experiments.","abbreviation":"PECO","support_links":[{"url":"https://github.com/Planteome/plant-experimental-conditions-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PECO","name":"PECO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/peco.html","name":"peco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001359","bsg-s001359"],"name":"FAIRsharing record for: Plant Experimental Condition Ontology","abbreviation":"PECO","url":"https://fairsharing.org/10.25504/FAIRsharing.6yNXYK","doi":"10.25504/FAIRsharing.6yNXYK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PECO is a structured, controlled vocabulary for the representation of plant experimental conditions. It describes the treatments, growing conditions, and/or study types used in various types of plant biology experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Experimental measurement","Study design","Experimentally determined"],"taxonomies":["Plantae"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[{"id":2166,"pubmed_id":29186578,"title":"The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1152","authors":"Cooper L,Meier A,Laporte MA,Elser JL,Mungall C,Sinn BT,Cavaliere D,Carbon S,Dunn NA,Smith B,Qu B,Preece J,Zhang E,Todorovic S,Gkoutos G,Doonan JH,Stevenson DW,Arnaud E,Jaiswal P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1152","created_at":"2021-09-30T08:26:24.139Z","updated_at":"2021-09-30T11:29:30.419Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2047,"relation":"undefined"}],"grants":[{"id":6940,"fairsharing_record_id":1184,"organisation_id":1582,"relation":"maintains","created_at":"2021-09-30T09:28:19.739Z","updated_at":"2021-09-30T09:28:19.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":1582,"name":"Jaiswal Lab, Department of Botany and Plant Pathology (BPP), Oregon State University, Corvallis, United States","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1185","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:35:25.010Z","metadata":{"doi":"10.25504/FAIRsharing.5p12xh","name":"Ontology of Biological and Clinical Statistics","status":"ready","contacts":[{"contact_name":"Yongqun (Oliver) He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/obcs/obcs","citations":[{"doi":"10.1186/s13326-016-0100-2","pubmed_id":27627881,"publication_id":1906}],"identifier":1185,"description":"The Ontology of Biological and Clinical Statistics (OBCS) is a biomedical ontology in the domain of biological and clinical statistics. OBCS is primarily targeted for statistical representation in the fields in biological, biomedical, and clinical domains. OBCS uses the Basic Formal Ontology (BFO) as the upper level ontology. OBCS imports all biostatistics related terms in the Ontology for Biomedical Investigations (OBI) including all logical axioms.","abbreviation":"OBCS","support_links":[{"url":"https://github.com/obcs/obcs/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBCS","name":"OBCS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/obcs.html","name":"obcs","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000914","bsg-s000914"],"name":"FAIRsharing record for: Ontology of Biological and Clinical Statistics","abbreviation":"OBCS","url":"https://fairsharing.org/10.25504/FAIRsharing.5p12xh","doi":"10.25504/FAIRsharing.5p12xh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Biological and Clinical Statistics (OBCS) is a biomedical ontology in the domain of biological and clinical statistics. OBCS is primarily targeted for statistical representation in the fields in biological, biomedical, and clinical domains. OBCS uses the Basic Formal Ontology (BFO) as the upper level ontology. OBCS imports all biostatistics related terms in the Ontology for Biomedical Investigations (OBI) including all logical axioms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12115},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12523},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16997}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Statistics","Biomedical Science","Biology","Medical Informatics"],"domains":["Vaccine"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1906,"pubmed_id":27627881,"title":"The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0100-2","authors":"Zheng J,Harris MR,Masci AM,Lin Y,Hero A,Smith B,He Y","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0100-2","created_at":"2021-09-30T08:25:54.337Z","updated_at":"2021-09-30T08:25:54.337Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1397,"relation":"undefined"}],"grants":[{"id":6941,"fairsharing_record_id":1185,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:19.777Z","updated_at":"2021-09-30T09:28:19.777Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1186","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:47:33.000Z","updated_at":"2023-06-02T15:10:08.854Z","metadata":{"doi":"10.25504/FAIRsharing.LwAk3f","name":"Thesaurus of Blood Transfusion","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/W7B/en/","citations":[],"identifier":1186,"description":"The thesaurus of Blood Transfusion consists of 2032 entries, in English and French.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001416","bsg-s001416"],"name":"FAIRsharing record for: Thesaurus of Blood Transfusion","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LwAk3f","doi":"10.25504/FAIRsharing.LwAk3f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The thesaurus of Blood Transfusion consists of 2032 entries, in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11302}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Transfusion Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1816,"relation":"undefined"}],"grants":[{"id":6942,"fairsharing_record_id":1186,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:19.819Z","updated_at":"2021-09-30T09:28:19.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6943,"fairsharing_record_id":1186,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:19.856Z","updated_at":"2021-09-30T09:28:19.856Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1182","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-02T15:53:14.026Z","metadata":{"doi":"10.25504/FAIRsharing.f73xhd","name":"Pathway Ontology","status":"ready","contacts":[{"contact_name":"Victoria Petri","contact_email":"vpetri@mcw.edu","contact_orcid":"0000-0002-5540-8498"}],"homepage":"https://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=PW:0000001","citations":[{"doi":"10.1186/2041-1480-5-7","pubmed_id":24499703,"publication_id":994}],"identifier":1182,"description":"The goal of the Pathway Ontology is to cover all types of biological pathways, including altered and disease pathways, and to capture the relationships between them within the hierarchical structure of a Directed Acyclic Graph (DAG). The five nodes of the ontology are: classic metabolic, regulatory, signaling, drug and disease pathways. An extensive survey of the review literature along with searches of existing pathway databases have been used to choose terms and their position within the tree. The ontology is continually expanding along with the development of Pathway and Disease Portals at RGD.","abbreviation":"PW","support_links":[{"url":"https://rgd.mcw.edu/contact/index.shtml","name":"General inquiry","type":"Contact form"},{"url":"ftp://ftp.rgd.mcw.edu/pub/data_release/PathwayOntology_introduction.doc","name":"Pathway Ontology Introduction (doc)","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PW","name":"PW","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pw.html","name":"pw","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000045","bsg-s000045"],"name":"FAIRsharing record for: Pathway Ontology","abbreviation":"PW","url":"https://fairsharing.org/10.25504/FAIRsharing.f73xhd","doi":"10.25504/FAIRsharing.f73xhd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the Pathway Ontology is to cover all types of biological pathways, including altered and disease pathways, and to capture the relationships between them within the hierarchical structure of a Directed Acyclic Graph (DAG). The five nodes of the ontology are: classic metabolic, regulatory, signaling, drug and disease pathways. An extensive survey of the review literature along with searches of existing pathway databases have been used to choose terms and their position within the tree. The ontology is continually expanding along with the development of Pathway and Disease Portals at RGD.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11921}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Metabolism","Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Drug","Signaling","Biological regulation","Enzymatic reaction","Disease","Pathway model"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":994,"pubmed_id":24499703,"title":"The pathway ontology - updates and applications.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-7","authors":"Petri V,Jayaraman P,Tutaj M,Hayman GT,Smith JR,De Pons J,Laulederkind SJ,Lowry TF,Nigam R,Wang SJ,Shimoyama M,Dwinell MR,Munzenmaier DH,Worthey EA,Jacob HJ","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-7","created_at":"2021-09-30T08:24:10.030Z","updated_at":"2021-09-30T08:24:10.030Z"},{"id":1001,"pubmed_id":25265995,"title":"Disease pathways at the Rat Genome Database Pathway Portal: genes in context-a network approach to understanding the molecular mechanisms of disease.","year":2014,"url":"http://doi.org/10.1186/s40246-014-0017-8","authors":"Petri V,Hayman GT,Tutaj M,Smith JR,Laulederkind SJ,Wang SJ,Nigam R,De Pons J,Shimoyama M,Dwinell MR,Worthey EA,Jacob HJ","journal":"Hum Genomics","doi":"10.1186/s40246-014-0017-8","created_at":"2021-09-30T08:24:10.798Z","updated_at":"2021-09-30T08:24:10.798Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":227,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":226,"relation":"undefined"}],"grants":[{"id":6938,"fairsharing_record_id":1182,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:28:19.669Z","updated_at":"2021-09-30T09:28:19.669Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6939,"fairsharing_record_id":1182,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:19.707Z","updated_at":"2021-09-30T09:31:21.247Z","grant_id":1131,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HL64541","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1183","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.108Z","metadata":{"doi":"10.25504/FAIRsharing.s8g6nh","name":"Non Randomized Controlled Trials Ontology","status":"ready","contacts":[{"contact_name":"Amrapali Zaver","contact_email":"amrapali.j.zaveri@gmail.com","contact_orcid":"0000-0003-3239-4588"}],"homepage":"http://bioportal.bioontology.org/ontologies/3012","identifier":1183,"description":"Non Randomized Controlled Trials Ontology is an ontology to help the systematic review and meta-analysis process of non randomized clinical trials.","abbreviation":"NonRCTOntology","year_creation":2009},"legacy_ids":["bsg-002786","bsg-s002786"],"name":"FAIRsharing record for: Non Randomized Controlled Trials Ontology","abbreviation":"NonRCTOntology","url":"https://fairsharing.org/10.25504/FAIRsharing.s8g6nh","doi":"10.25504/FAIRsharing.s8g6nh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Non Randomized Controlled Trials Ontology is an ontology to help the systematic review and meta-analysis process of non randomized clinical trials.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12471}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Non-randomized controlled trials"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[{"id":2020,"pubmed_id":15120657,"title":"An ontology of randomized controlled trials for evidence-based practice: content specification and evaluation using the competency decomposition method.","year":2004,"url":"http://doi.org/10.1016/j.jbi.2004.03.001","authors":"Sim I,Olasov B,Carini S","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2004.03.001","created_at":"2021-09-30T08:26:07.562Z","updated_at":"2021-09-30T08:26:07.562Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1494,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1149","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:04.722Z","metadata":{"doi":"10.25504/FAIRsharing.z9kvry","name":"Systems Biology Graphical Notation","status":"ready","contacts":[{"contact_name":"SBGN Editors","contact_email":"sbgn-editors@googlegroups.com"}],"homepage":"https://sbgn.github.io/","identifier":1149,"description":"The Systems Biology Graphical Notation (SBGN) project is an effort to standardize the graphical notation used in maps of biological processes. The mission of SBGN project is to develop high quality, standard graphical languages for representing biological processes and interactions. Each SBGN language is based on the consensus of the broad international SBGN community of biologists, curators and software developers.","abbreviation":"SBGN","support_links":[{"url":"https://sbgn.github.io/contact","name":"Contact Information","type":"Github"},{"url":"https://sbgn.github.io/faq","name":"FAQ","type":"Github"},{"url":"https://sbgn.github.io/examples","name":"Examples","type":"Github"},{"url":"https://sbgn.github.io/learning","name":"Learning SBGN","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/pathway-visualization-in-the-reactome-pathway-database","name":"Pathway visualization in the Reactome pathway database","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/graphical-computational-modelling-of-biological-pathways-d0b38ce1-0e2e-4ba9-9e0c-39c6af558782","name":"Graphical \u0026 Computational Modelling of Biological Pathways","type":"TeSS links to training materials"}],"year_creation":2005,"associated_tools":[{"url":"https://sbgn.github.io/software","name":"SBGN Tools and Libraries"}]},"legacy_ids":["bsg-000092","bsg-s000092"],"name":"FAIRsharing record for: Systems Biology Graphical Notation","abbreviation":"SBGN","url":"https://fairsharing.org/10.25504/FAIRsharing.z9kvry","doi":"10.25504/FAIRsharing.z9kvry","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systems Biology Graphical Notation (SBGN) project is an effort to standardize the graphical notation used in maps of biological processes. The mission of SBGN project is to develop high quality, standard graphical languages for representing biological processes and interactions. Each SBGN language is based on the consensus of the broad international SBGN community of biologists, curators and software developers.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10848},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11153},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11878},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12210},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14545},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16939}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Systems Biology"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Japan","United Kingdom","United States","European Union"],"publications":[{"id":672,"pubmed_id":26528563,"title":"Systems Biology Graphical Notation: Activity Flow language Level 1 Version 1.2.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-265","authors":"Mi H,Schreiber F,Moodie S,Czauderna T,Demir E,Haw R,Luna A,Le Novere N,Sorokin A,Villeger A","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-265","created_at":"2021-09-30T08:23:34.135Z","updated_at":"2021-09-30T08:23:34.135Z"},{"id":717,"pubmed_id":19668183,"title":"The Systems Biology Graphical Notation.","year":2009,"url":"http://doi.org/10.1038/nbt.1558","authors":"Le Novere N et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt.1558","created_at":"2021-09-30T08:23:39.028Z","updated_at":"2021-09-30T08:23:39.028Z"},{"id":945,"pubmed_id":26528562,"title":"Systems Biology Graphical Notation: Entity Relationship language Level 1 Version 2.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-264","authors":"Sorokin A,Le Novere N,Luna A,Czauderna T,Demir E,Haw R,Mi H,Moodie S,Schreiber F,Villeger A","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-264","created_at":"2021-09-30T08:24:04.571Z","updated_at":"2021-09-30T08:24:04.571Z"},{"id":1278,"pubmed_id":25303525,"title":"gammaCaMKII shuttles Ca(2)(+)/CaM to the nucleus to trigger CREB phosphorylation and gene expression.","year":2014,"url":"http://doi.org/10.1016/j.cell.2014.09.019","authors":"Ma H,Groth RD,Cohen SM,Emery JF,Li B,Hoedt E,Zhang G,Neubert TA,Tsien RW","journal":"Cell","doi":"10.1016/j.cell.2014.09.019","created_at":"2021-09-30T08:24:42.632Z","updated_at":"2021-09-30T08:24:42.632Z"}],"licence_links":[],"grants":[{"id":6874,"fairsharing_record_id":1149,"organisation_id":2147,"relation":"funds","created_at":"2021-09-30T09:28:17.193Z","updated_at":"2021-09-30T09:28:17.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2147,"name":"New Energy and Industrial Technology Development Organization","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6880,"fairsharing_record_id":1149,"organisation_id":938,"relation":"funds","created_at":"2021-09-30T09:28:17.350Z","updated_at":"2021-09-30T09:28:17.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":938,"name":"European Media Laboratory EML Research GmbH","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6873,"fairsharing_record_id":1149,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:17.169Z","updated_at":"2021-09-30T09:28:17.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6875,"fairsharing_record_id":1149,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:17.219Z","updated_at":"2021-09-30T09:28:17.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6876,"fairsharing_record_id":1149,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:17.243Z","updated_at":"2021-09-30T09:28:17.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6877,"fairsharing_record_id":1149,"organisation_id":2238,"relation":"funds","created_at":"2021-09-30T09:28:17.269Z","updated_at":"2021-09-30T09:28:17.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":2238,"name":"Okinawa Institute of Science and Technology Graduate University, OIST","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6878,"fairsharing_record_id":1149,"organisation_id":2495,"relation":"funds","created_at":"2021-09-30T09:28:17.293Z","updated_at":"2021-09-30T09:28:17.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":2495,"name":"SBGN community","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6879,"fairsharing_record_id":1149,"organisation_id":258,"relation":"funds","created_at":"2021-09-30T09:28:17.319Z","updated_at":"2021-09-30T09:28:17.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":258,"name":"Biological Network Modelling Center (BNMC), Beckman Institute, California Institute of Technology (Caltech), Pasadena, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1148","type":"fairsharing_records","attributes":{"created_at":"2020-07-18T12:34:51.000Z","updated_at":"2022-07-20T09:41:26.949Z","metadata":{"doi":"10.25504/FAIRsharing.EZCpPd","name":"Data Documentation Initiative Codebook","status":"ready","contacts":[{"contact_name":"Wendy Thomas","contact_email":"wlt@umn.edu","contact_orcid":"0000-0003-1294-4490"}],"homepage":"https://ddialliance.org/Specification/DDI-Codebook/2.5/","identifier":1148,"description":"Data Documentation Initiative (DDI-Codebook, DDI-C) is a more light-weight version of DDI-Lifecycle, intended primarily to document simple survey data. Originally DTD-based, DDI-C is now available as an XML Schema. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world.","abbreviation":"DDI-Codebook","support_links":[{"url":"http://www.ddialliance.org/contact-us","name":"Contact Form","type":"Contact form"},{"url":"ddisecretariat@umich.edu","name":"DDI Secretariat","type":"Support email"},{"url":"http://www.ddialliance.org/resources/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/field_level_documentation.html","name":"Field-level Documentation","type":"Help documentation"},{"url":"http://www.ddialliance.org/sites/default/files/Specification/readme.txt","name":"Contributors","type":"Help documentation"},{"url":"https://ddialliance.org/resources/markup-examples/2.5","name":"Markup Examples v2.5","type":"Help documentation"},{"url":"http://www.ddialliance.org/training/training-library","name":"Training Library","type":"Training documentation"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"}],"year_creation":2000,"associated_tools":[{"url":"https://ddialliance.org/resources/tools","name":"DDI Tools"}]},"legacy_ids":["bsg-001512","bsg-s001512"],"name":"FAIRsharing record for: Data Documentation Initiative Codebook","abbreviation":"DDI-Codebook","url":"https://fairsharing.org/10.25504/FAIRsharing.EZCpPd","doi":"10.25504/FAIRsharing.EZCpPd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Documentation Initiative (DDI-Codebook, DDI-C) is a more light-weight version of DDI-Lifecycle, intended primarily to document simple survey data. Originally DTD-based, DDI-C is now available as an XML Schema. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18236},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12952},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13344},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13354}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Economics","Social Science","Health Science","Social and Behavioural Science","Biomedical Science"],"domains":["Study design"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1769,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1762,"relation":"undefined"}],"grants":[{"id":6872,"fairsharing_record_id":1148,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:28:17.136Z","updated_at":"2021-09-30T09:28:17.136Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1178","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.325Z","metadata":{"doi":"10.25504/FAIRsharing.d50st0","name":"Ontology of Alternative Medicine, French","status":"uncertain","contacts":[{"contact_name":"Sanou Martin","contact_email":"martinsanou@lavima.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/3090","identifier":1178,"description":"Common concepts for communication between traditional medicine and western medicine. (In French)","abbreviation":"OntoMA","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOMA","name":"ONTOMA","portal":"BioPortal"}]},"legacy_ids":["bsg-002822","bsg-s002822"],"name":"FAIRsharing record for: Ontology of Alternative Medicine, French","abbreviation":"OntoMA","url":"https://fairsharing.org/10.25504/FAIRsharing.d50st0","doi":"10.25504/FAIRsharing.d50st0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Common concepts for communication between traditional medicine and western medicine. (In French)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1266","type":"fairsharing_records","attributes":{"created_at":"2021-03-25T11:38:27.000Z","updated_at":"2022-08-16T08:01:45.570Z","metadata":{"doi":"10.25504/FAIRsharing.1413b5","name":"Thesaurus of Geographic Names","status":"ready","contacts":[{"contact_name":"TGN Editors","contact_email":"TGN@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/tgn/index.html","citations":[],"identifier":1266,"description":"The Thesaurus of Geographic Names (TGN) is a terminology that focuses on places relevant to art, architecture, and related disciplines, recording names, relationships, place types, dates, notes, and coordinates for current and historical cities, nations, empires, archaeological sites, lost settlements, and physical features. The TGN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","abbreviation":"TGN","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabulary Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/tgn/faq.html","name":"TGN FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/tgn/help.html","name":"How to Use the TGN","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/lod/index.html","name":"Getty Vocabularies as Linked Open Data","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/tgn/about.html","name":"About","type":"Help documentation"}],"year_creation":1987},"legacy_ids":["bsg-001599","bsg-s001599"],"name":"FAIRsharing record for: Thesaurus of Geographic Names","abbreviation":"TGN","url":"https://fairsharing.org/10.25504/FAIRsharing.1413b5","doi":"10.25504/FAIRsharing.1413b5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Thesaurus of Geographic Names (TGN) is a terminology that focuses on places relevant to art, architecture, and related disciplines, recording names, relationships, place types, dates, notes, and coordinates for current and historical cities, nations, empires, archaeological sites, lost settlements, and physical features. The TGN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Geography","Art History","Architecture","Ancient Cultures","Fine Arts","History","Human Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":397,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":396,"relation":"undefined"}],"grants":[{"id":7097,"fairsharing_record_id":1266,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:25.632Z","updated_at":"2021-09-30T09:28:25.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1267","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:15:43.636Z","metadata":{"doi":"10.25504/FAIRsharing.vxyt0f","name":"Lipid Ontology","status":"deprecated","contacts":[{"contact_name":"Christopher Baker","contact_email":"bakerc@unb.ca"}],"homepage":"http://purl.bioontology.org/ontology/LiPrO","identifier":1267,"description":"Lipid research is increasingly integrated within systems level biology such as lipidomics where lipid classification is required before appropriate annotation of chemical functions can be applied. The ontology describes the LIPIDMAPS nomenclature classification explicitly using description logics (OWL-DL).","abbreviation":"LiPrO","year_creation":2009,"deprecation_date":"2016-04-07","deprecation_reason":"This ontology has been deprecated within the OBO Foundry."},"legacy_ids":["bsg-000108","bsg-s000108"],"name":"FAIRsharing record for: Lipid Ontology","abbreviation":"LiPrO","url":"https://fairsharing.org/10.25504/FAIRsharing.vxyt0f","doi":"10.25504/FAIRsharing.vxyt0f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Lipid research is increasingly integrated within systems level biology such as lipidomics where lipid classification is required before appropriate annotation of chemical functions can be applied. The ontology describes the LIPIDMAPS nomenclature classification explicitly using description logics (OWL-DL).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Life Science"],"domains":["Lipid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Singapore"],"publications":[{"id":538,"pubmed_id":18315858,"title":"Towards ontology-driven navigation of the lipid bibliosphere.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-S1-S5","authors":"Baker CJ,Kanagasabai R,Ang WT,Veeramani A,Low HS,Wenk MR","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-S1-S5","created_at":"2021-09-30T08:23:18.785Z","updated_at":"2021-09-30T08:23:18.785Z"}],"licence_links":[],"grants":[{"id":7099,"fairsharing_record_id":1267,"organisation_id":3105,"relation":"maintains","created_at":"2021-09-30T09:28:25.720Z","updated_at":"2021-09-30T09:28:25.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":3105,"name":"University of New Brunswick, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7098,"fairsharing_record_id":1267,"organisation_id":37,"relation":"funds","created_at":"2021-09-30T09:28:25.682Z","updated_at":"2021-09-30T09:28:25.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7100,"fairsharing_record_id":1267,"organisation_id":2085,"relation":"maintains","created_at":"2021-09-30T09:28:25.752Z","updated_at":"2021-09-30T09:28:25.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7101,"fairsharing_record_id":1267,"organisation_id":2085,"relation":"funds","created_at":"2021-09-30T09:28:25.783Z","updated_at":"2021-09-30T09:31:42.884Z","grant_id":1294,"is_lead":false,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","grant":"R-183-000-607-712","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1268","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.719Z","metadata":{"doi":"10.25504/FAIRsharing.asg057","name":"Parasite Experiment Ontology","status":"uncertain","contacts":[{"contact_name":"Priti Parikh","contact_email":"priti@knoesis.org","contact_orcid":"0000-0002-1086-4190"}],"homepage":"http://bioportal.bioontology.org/ontologies/PEO","identifier":1268,"description":"The Parasite Experiment Ontology (PEO) models the processes, instruments, parameters, and sample details that will be used to annotate experimental results with “provenance” metadata (derivation history of results). The ontology was created to enable publication of results in journals, conferences with details of the method used to arrive at the result. Please note that the homepage is no longer active, and the ontology has not been updated in BioPortal since 2011. Until we can ascertain the current status of the ontology, we have marked this record as \"Uncertain\".","abbreviation":"PEO","support_links":[{"url":"support@knoesis.org","name":"Kno.e.sis Support","type":"Support email"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PEO","name":"PEO","portal":"BioPortal"}]},"legacy_ids":["bsg-002600","bsg-s002600"],"name":"FAIRsharing record for: Parasite Experiment Ontology","abbreviation":"PEO","url":"https://fairsharing.org/10.25504/FAIRsharing.asg057","doi":"10.25504/FAIRsharing.asg057","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Parasite Experiment Ontology (PEO) models the processes, instruments, parameters, and sample details that will be used to annotate experimental results with “provenance” metadata (derivation history of results). The ontology was created to enable publication of results in journals, conferences with details of the method used to arrive at the result. Please note that the homepage is no longer active, and the ontology has not been updated in BioPortal since 2011. Until we can ascertain the current status of the ontology, we have marked this record as \"Uncertain\".","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Drug","Drug combination effect modeling","Parasite","Life cycle"],"taxonomies":["Homo sapiens","Trypanosoma"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2800,"pubmed_id":null,"title":"Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker","year":2011,"url":"https://corescholar.libraries.wright.edu/knoesis/12/","authors":"Valerie Cross, Cosmin Stroe, Xueheng Hu, Pramit Silwal, Maryam Panahiazar, Isabel F. Cruz, Priti Parikh, Amit P. Sheth","journal":"Conference paper : International Conference on Biomedical Ontology","doi":null,"created_at":"2021-09-30T08:27:44.331Z","updated_at":"2021-09-30T08:27:44.331Z"}],"licence_links":[],"grants":[{"id":7102,"fairsharing_record_id":1268,"organisation_id":556,"relation":"maintains","created_at":"2021-09-30T09:28:25.810Z","updated_at":"2021-09-30T09:28:25.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":556,"name":"College of Engineering and Computer Science (KNO.E.SIS), Fairborn, OH, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7103,"fairsharing_record_id":1268,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:25.834Z","updated_at":"2021-09-30T09:32:19.883Z","grant_id":1570,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01HL087795-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1269","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:46.577Z","metadata":{"doi":"10.25504/FAIRsharing.a4wgws","name":"Real-time PCR Data Markup Language","status":"ready","contacts":[{"contact_name":"Jo Vandesompele","contact_email":"Joke.Vandesompele@UGent.be","contact_orcid":"0000-0001-6274-0184"}],"homepage":"http://rdml.org/","citations":[],"identifier":1269,"description":"The RDML file format is developed by the RDML consortium (http://www.rdml.org) and can be used free of charge. The RDML file format was created to encourage the exchange, publication, revision and re-analysis of raw qPCR data. The core of an RDML file is an experiment, not a PCR run. Therefore all the information is collected which is required to understand an experiment. The structure of the file format was inspired by a database structure. In the file are several master elements, which are then referred to in other parts of the file. This structure allows to reduce the amount of redundant information and encourages the user to provide useful information. The Real-time PCR Data Markup Language (RDML) is a structured and universal data standard for exchanging quantitative PCR (qPCR) data. The data standard should contain sufficient information to understand the experimental setup, re-analyse the data and interpret the results. The data standard is a compressed text file in Extensible Markup Language (XML) and enables transparent exchange of annotated qPCR data between instrument software and third-party data analysis packages, between colleagues and collaborators, and between authors, peer reviewers, journals and readers. To support the public acceptance of this standard, both an on-line RDML file generator is available for end users, as well as RDML software libraries to be used by software developers, enabling import and export of RDML data files.","abbreviation":"RDML","support_links":[{"url":"info@rdml.org","type":"Support email"},{"url":"http://sourceforge.net/projects/rdml/forums","type":"Forum"},{"url":"http://www.rdml.org/files.php","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"http://www.rdml.org/tools.php","name":"RDML Generator"},{"url":"http://www.rdml.org/tools.php?validator","name":"RDML Validator"},{"url":"http://www.rdml.org/tools.php?combinator","name":"RDML Merge Files"}]},"legacy_ids":["bsg-000140","bsg-s000140"],"name":"FAIRsharing record for: Real-time PCR Data Markup Language","abbreviation":"RDML","url":"https://fairsharing.org/10.25504/FAIRsharing.a4wgws","doi":"10.25504/FAIRsharing.a4wgws","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RDML file format is developed by the RDML consortium (http://www.rdml.org) and can be used free of charge. The RDML file format was created to encourage the exchange, publication, revision and re-analysis of raw qPCR data. The core of an RDML file is an experiment, not a PCR run. Therefore all the information is collected which is required to understand an experiment. The structure of the file format was inspired by a database structure. In the file are several master elements, which are then referred to in other parts of the file. This structure allows to reduce the amount of redundant information and encourages the user to provide useful information. The Real-time PCR Data Markup Language (RDML) is a structured and universal data standard for exchanging quantitative PCR (qPCR) data. The data standard should contain sufficient information to understand the experimental setup, re-analyse the data and interpret the results. The data standard is a compressed text file in Extensible Markup Language (XML) and enables transparent exchange of annotated qPCR data between instrument software and third-party data analysis packages, between colleagues and collaborators, and between authors, peer reviewers, journals and readers. To support the public acceptance of this standard, both an on-line RDML file generator is available for end users, as well as RDML software libraries to be used by software developers, enabling import and export of RDML data files.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Experimental measurement","Deoxyribonucleic acid","Ribonucleic acid","Gene expression","Polymerase Chain Reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3,"pubmed_id":19223324,"title":"RDML: structured language and reporting guidelines for real-time quantitative PCR data.","year":2009,"url":"http://doi.org/10.1093/nar/gkp056","authors":"Lefever S, Hellemans J, Pattyn F, Przybylski DR, Taylor C, Geurts R, Untergasser A, Vandesompele J","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp056","created_at":"2021-09-30T08:22:20.897Z","updated_at":"2021-09-30T08:22:20.897Z"},{"id":1506,"pubmed_id":26087842,"title":"RDML-Ninja and RDMLdb for standardized exchange of qPCR data.","year":2015,"url":"http://doi.org/10.1186/s12859-015-0637-6","authors":"Ruijter JM,Lefever S,Anckaert J,Hellemans J,Pfaffl MW,Benes V,Bustin SA,Vandesompele J,Untergasser A","journal":"BMC Bioinformatics","doi":"10.1186/s12859-015-0637-6","created_at":"2021-09-30T08:25:08.594Z","updated_at":"2021-09-30T08:25:08.594Z"}],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":366,"relation":"undefined"}],"grants":[{"id":7105,"fairsharing_record_id":1269,"organisation_id":2407,"relation":"maintains","created_at":"2021-09-30T09:28:25.884Z","updated_at":"2021-09-30T09:28:25.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":2407,"name":"RDML consortium","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7104,"fairsharing_record_id":1269,"organisation_id":2812,"relation":"funds","created_at":"2021-09-30T09:28:25.859Z","updated_at":"2021-09-30T09:31:12.058Z","grant_id":1060,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","grant":"050-71-052","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1270","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-08T13:34:45.630Z","metadata":{"doi":"10.25504/FAIRsharing.namxfm","name":"Functional Genomics Experiment Markup Language","status":"deprecated","contacts":[{"contact_name":"Andy Jones","contact_email":"Andrew.Jones@liverpool.ac.uk"}],"homepage":"http://fuge.sourceforge.net/dev/index.php","citations":[],"identifier":1270,"description":"Functional genomics experiments present many challenges in data archiving, sharing and querying. As the size and complexity of data generated from such experiments grows, so does the requirement for standard data formats. To address these needs, the Functional Genomics Experiment [Object Model / Markup-Language] (FuGE-OM, FuGE-ML) has been created to facilitate the development of data standards.FuGE is a model of the shared components in different functional genomics domains. FuGE facilitates the development of data standards in functional genomics in two ways: 1. FuGE provides a model of common components in functional genomics investigations, such as materials, data, protocols, equipment and software. These models can be extended to develop modular data formats with consistent structure. 2. FuGE provides a framework for capturing complete laboratory workflows, enabling the integration of pre-existing data formats. In this context, FuGE allows the capture of additional metadata that gives formats a context within the complete workflow. FuGE is available as a UML model and an XML Schema","abbreviation":"FuGE-ML","support_links":[{"url":"http://fuge.sourceforge.net/dev/V1Final/FuGE-v1-SpecDoc.doc","type":"Help documentation"},{"url":"fuge-devel@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2005,"deprecation_date":"2022-09-08","deprecation_reason":"This resource is still available at its project repository, however it is no longer in active development."},"legacy_ids":["bsg-000075","bsg-s000075"],"name":"FAIRsharing record for: Functional Genomics Experiment Markup Language","abbreviation":"FuGE-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.namxfm","doi":"10.25504/FAIRsharing.namxfm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Functional genomics experiments present many challenges in data archiving, sharing and querying. As the size and complexity of data generated from such experiments grows, so does the requirement for standard data formats. To address these needs, the Functional Genomics Experiment [Object Model / Markup-Language] (FuGE-OM, FuGE-ML) has been created to facilitate the development of data standards.FuGE is a model of the shared components in different functional genomics domains. FuGE facilitates the development of data standards in functional genomics in two ways: 1. FuGE provides a model of common components in functional genomics investigations, such as materials, data, protocols, equipment and software. These models can be extended to develop modular data formats with consistent structure. 2. FuGE provides a framework for capturing complete laboratory workflows, enabling the integration of pre-existing data formats. In this context, FuGE allows the capture of additional metadata that gives formats a context within the complete workflow. FuGE is available as a UML model and an XML Schema","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12400}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Genomics","Proteomics"],"domains":["Reagent","Biological sample","Assay","Device"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":957,"pubmed_id":17921998,"title":"The Functional Genomics Experiment model (FuGE): an extensible framework for standards in functional genomics.","year":2007,"url":"http://doi.org/10.1038/nbt1347","authors":"Jones AR,Miller M,Aebersold R,Apweiler R,Ball CA,Brazma A,Degreef J,Hardy N,Hermjakob H,Hubbard SJ,Hussey P,Igra M,Jenkins H,Julian RK Jr,Laursen K,Oliver SG,Paton NW,Sansone SA,Sarkans U,Stoeckert CJ Jr,Taylor CF,Whetzel PL,White JA,Spellman P,Pizarro A","journal":"Nat Biotechnol","doi":"10.1038/nbt1347","created_at":"2021-09-30T08:24:05.855Z","updated_at":"2021-09-30T08:24:05.855Z"}],"licence_links":[],"grants":[{"id":7106,"fairsharing_record_id":1270,"organisation_id":1067,"relation":"maintains","created_at":"2021-09-30T09:28:25.915Z","updated_at":"2021-09-30T09:28:25.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":1067,"name":"FuGE working group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7107,"fairsharing_record_id":1270,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:25.954Z","updated_at":"2021-09-30T09:28:25.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7108,"fairsharing_record_id":1270,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:25.986Z","updated_at":"2021-09-30T09:31:50.956Z","grant_id":1354,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1P41HG003619","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1260","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:03:12.577Z","metadata":{"doi":"10.25504/FAIRsharing.zj6y9h","name":"Minimum Information About a Simulation Experiment","status":"ready","contacts":[],"homepage":"https://identifiers.org/combine.specifications:miase","citations":[{"doi":"10.1371/journal.pcbi.1001122","pubmed_id":21552546,"publication_id":1845}],"identifier":1260,"description":"The MIASE Guidelines, initiated by the BioModels.net effort, are a community effort to identify the Minimal Information About a Simulation Experiment, necessary to enable the reproducible simulation experiments. Consequently, the MIASE Guidelines list the information that a modeller needs to provide to enable the execution and reproduction of a numerical simulation experiment, derived from a given set of quantitative models. MIASE is a set of guidelines suitable for use with any structured format for simulation experiments. As such, MIASE is designed to help modelers and software tools to exchange their simulation settings and to foster collaboration.","abbreviation":"MIASE","support_links":[{"url":"http://mibbi.sf.net/projects/MIASE.shtml","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"http://sed-ml.org/","name":"Simulation Experiment Description Markup Language Resources"}]},"legacy_ids":["bsg-000187","bsg-s000187"],"name":"FAIRsharing record for: Minimum Information About a Simulation Experiment","abbreviation":"MIASE","url":"https://fairsharing.org/10.25504/FAIRsharing.zj6y9h","doi":"10.25504/FAIRsharing.zj6y9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIASE Guidelines, initiated by the BioModels.net effort, are a community effort to identify the Minimal Information About a Simulation Experiment, necessary to enable the reproducible simulation experiments. Consequently, the MIASE Guidelines list the information that a modeller needs to provide to enable the execution and reproduction of a numerical simulation experiment, derived from a given set of quantitative models. MIASE is a set of guidelines suitable for use with any structured format for simulation experiments. As such, MIASE is designed to help modelers and software tools to exchange their simulation settings and to foster collaboration.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11179},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11600},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11734},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12078},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12226},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16936}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Life Science"],"domains":["Mathematical model","Annotation","Chemical entity","Modeling and simulation","Enzymatic reaction","Protein","Pathway model"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["France","Germany","India","New Zealand","South Africa","Switzerland","United Kingdom","United States"],"publications":[{"id":1845,"pubmed_id":21552546,"title":"Minimum Information About a Simulation Experiment (MIASE).","year":2011,"url":"http://doi.org/10.1371/journal.pcbi.1001122","authors":"Dagmar Waltemath, Richard Adams, Daniel A. Beard, Frank T. Bergmann, Upinder S. Bhalla, Randall Britten, Vijayalakshmi Chelliah, Michael T. Cooling, Jonathan Cooper, Edmund J. Crampin, Alan Garny, Stefan Hoops, Michael Hucka, Peter Hunter, Edda Klipp, Camille Laibe, Andrew K. Miller, Ion Moraru, David Nickerson, Poul Nielsen, Macha Nikolski, Sven Sahle, Herbert M. Sauro, Henning Schmidt, Jacky L. Snoep, Dominic Tolle, Olaf Wolkenhauer, Nicolas Le Novère","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1001122","created_at":"2021-09-30T08:25:47.197Z","updated_at":"2021-09-30T08:25:47.197Z"}],"licence_links":[],"grants":[{"id":7089,"fairsharing_record_id":1260,"organisation_id":920,"relation":"maintains","created_at":"2021-09-30T09:28:25.424Z","updated_at":"2021-09-30T09:28:25.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7091,"fairsharing_record_id":1260,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:25.477Z","updated_at":"2021-09-30T09:31:53.684Z","grant_id":1375,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01GM081070-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7086,"fairsharing_record_id":1260,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:25.347Z","updated_at":"2021-09-30T09:28:25.347Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7087,"fairsharing_record_id":1260,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:25.376Z","updated_at":"2021-09-30T09:28:25.376Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7090,"fairsharing_record_id":1260,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:28:25.450Z","updated_at":"2021-09-30T09:28:25.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7088,"fairsharing_record_id":1260,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:25.400Z","updated_at":"2021-09-30T09:30:58.458Z","grant_id":960,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"223920","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1261","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T11:44:24.000Z","updated_at":"2022-07-20T12:48:01.324Z","metadata":{"doi":"10.25504/FAIRsharing.cfcf89","name":"ICAT Schema","status":"ready","homepage":"https://icatproject.org/user-documentation/icat-schema/","identifier":1261,"description":"The ICAT Schema, which is based on the CSMD, provides a metadata schema to support Large Facility experimental data, linking all aspects of the research chain from proposal through to publication.","abbreviation":"ICAT Schema","support_links":[{"url":"https://github.com/icatproject/icat.server/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2014},"legacy_ids":["bsg-001313","bsg-s001313"],"name":"FAIRsharing record for: ICAT Schema","abbreviation":"ICAT Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.cfcf89","doi":"10.25504/FAIRsharing.cfcf89","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICAT Schema, which is based on the CSMD, provides a metadata schema to support Large Facility experimental data, linking all aspects of the research chain from proposal through to publication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Biochemistry","Chemistry","Natural Science","Earth Science","Life Science","Materials Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1829,"relation":"undefined"}],"grants":[{"id":7093,"fairsharing_record_id":1261,"organisation_id":1235,"relation":"maintains","created_at":"2021-09-30T09:28:25.526Z","updated_at":"2021-09-30T09:28:25.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":1235,"name":"Helmholtz-Zentrum Berlin fur Materialien und Energie (HZB), Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7092,"fairsharing_record_id":1261,"organisation_id":446,"relation":"maintains","created_at":"2021-09-30T09:28:25.500Z","updated_at":"2021-09-30T09:28:25.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":446,"name":"Central Laser Facility (CLF), Science and Technology Facilities Council, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7094,"fairsharing_record_id":1261,"organisation_id":1557,"relation":"maintains","created_at":"2021-09-30T09:28:25.550Z","updated_at":"2021-09-30T09:28:25.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":1557,"name":"ISIS Neutron and Muon Source, Science and Technology Facilities Council","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1262","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T15:51:31.000Z","updated_at":"2022-07-20T12:29:35.954Z","metadata":{"doi":"10.25504/FAIRsharing.jq69k3","name":"World geographical scheme for recording plant distributions","status":"ready","contacts":[{"contact_name":"Justin F. Moat","contact_email":"J.Moat@kew.org"}],"homepage":"https://github.com/tdwg/prior-standards/tree/master/world-geographical-scheme-for-recording-plant-distributions","identifier":1262,"description":"In setting out to establish standards for data fields in botanical databases, the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) identified at an early stage of its existence a need for an agreed system of geographical units at approximately \"country\" level and upwards for use in recording plant distributions. This would aim to provide a standard which different organisations maintaining databases could adopt so that they could compare and exchange data with each other without loss of information due to incompatible geographical boundaries. The present publication has resulted from the deliberations over a period of three years of a committee of both taxonomic and applied botanists set up to produce such a standard. The system offered covers the whole world and identifies units at four levels, firstly continental, secondly regional (or subcontinental), thirdly at what may be called \"Botanical Country\" level (which may often ignore purely political considerations), and fourthly at a slightly lower level called \"Basic Recording Units\" where political integrity is fully recognised. In many cases, where Botanical Countries have no complicating political factors, the units at Level-3 and Level-4 are identical. Very large countries, however, have been subdivided into more conveniently sized units according to constituent states or provinces. It is a fundamental principle that units at all levels are bounded either by political boundaries which appear on modern maps or by coast lines. Modern geographical information systems have not superseded the need for such a scheme. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":null,"support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://lists.tdwg.org/mailman/listinfo","type":"Mailing list"}],"year_creation":1992},"legacy_ids":["bsg-000632","bsg-s000632"],"name":"FAIRsharing record for: World geographical scheme for recording plant distributions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jq69k3","doi":"10.25504/FAIRsharing.jq69k3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In setting out to establish standards for data fields in botanical databases, the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) identified at an early stage of its existence a need for an agreed system of geographical units at approximately \"country\" level and upwards for use in recording plant distributions. This would aim to provide a standard which different organisations maintaining databases could adopt so that they could compare and exchange data with each other without loss of information due to incompatible geographical boundaries. The present publication has resulted from the deliberations over a period of three years of a committee of both taxonomic and applied botanists set up to produce such a standard. The system offered covers the whole world and identifies units at four levels, firstly continental, secondly regional (or subcontinental), thirdly at what may be called \"Botanical Country\" level (which may often ignore purely political considerations), and fourthly at a slightly lower level called \"Basic Recording Units\" where political integrity is fully recognised. In many cases, where Botanical Countries have no complicating political factors, the units at Level-3 and Level-4 are identical. Very large countries, however, have been subdivided into more conveniently sized units according to constituent states or provinces. It is a fundamental principle that units at all levels are bounded either by political boundaries which appear on modern maps or by coast lines. Modern geographical information systems have not superseded the need for such a scheme. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12280}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity","Life Science"],"domains":["Geographical location"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1264","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-07-20T10:47:52.873Z","metadata":{"doi":"10.25504/FAIRsharing.k3fp3g","name":"Read Clinical Terminology Version 2","status":"deprecated","contacts":[{"contact_name":"NHS Information Authority Loughborough","contact_email":"helpdesk3@nhsccc.exec.nhs.uk"}],"homepage":"https://digital.nhs.uk/article/1104/Read-Codes","identifier":1264,"description":"Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, and as such this record has been marked with a \"Deprecated\" status. CTV3 is due to be retired after the April 2018 release.","abbreviation":"Read v2","support_links":[{"url":"information.standards@hscic.gov.uk","name":"Contact Email","type":"Support email"}],"year_creation":1985,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RCTV2","name":"RCTV2","portal":"BioPortal"}],"deprecation_date":"2018-01-26","deprecation_reason":"This resource is deprecated. The last release of Read v2 was April 2016, with CTV3 due to be retired after the April 2018 release."},"legacy_ids":["bsg-000737","bsg-s000737"],"name":"FAIRsharing record for: Read Clinical Terminology Version 2","abbreviation":"Read v2","url":"https://fairsharing.org/10.25504/FAIRsharing.k3fp3g","doi":"10.25504/FAIRsharing.k3fp3g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, and as such this record has been marked with a \"Deprecated\" status. CTV3 is due to be retired after the April 2018 release.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Primary Health Care","Preclinical Studies"],"domains":["Drug","Diagnosis","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Government Licence (OGL)","licence_id":628,"licence_url":"http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/","link_id":1373,"relation":"undefined"}],"grants":[{"id":7095,"fairsharing_record_id":1264,"organisation_id":2903,"relation":"maintains","created_at":"2021-09-30T09:28:25.577Z","updated_at":"2021-09-30T09:28:25.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":2903,"name":"UK Terminology Centre (UKTC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1254","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T15:57:40.457Z","metadata":{"doi":"10.25504/FAIRsharing.ak8p5g","name":"MicroArray Gene Expression Tabular Format","status":"ready","contacts":[{"contact_name":"Contact support","contact_email":"fged.society@gmail.com","contact_orcid":null}],"homepage":"https://www.fged.org/projects/mage-tab","citations":[],"identifier":1254,"description":"Sharing of microarray data within the research community has been greatly facilitated by the development of the disclosure and communication standards MIAME and MAGE-ML by the FGED Society. However, the complexity of the MAGE-ML format has made its use impractical for laboratories lacking dedicated bioinformatics support. We propose a simple tab-delimited, spreadsheet-based format, MAGE-TAB, which will become a part of the MAGE microarray data standard and can be used for annotating and communicating microarray data in a MIAME compliant fashion. MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML","abbreviation":"MAGE-TAB","support_links":[{"url":"https://twitter.com/FGED","name":"@FGED","type":"Twitter"},{"url":"https://drive.google.com/file/d/1sRmLIhXjyZ6XYjkwJqsukSxRfxLrFEpX/view","name":"MAGE-TAB Specification, Version 1.1 (Released 2011-07-28)","type":"Other"},{"url":"https://www.fged.org/resources","name":"FGED Resources","type":"Help documentation"}],"year_creation":2006,"associated_tools":[{"url":"https://www.fged.org/projects/annotare","name":"Annotare"}]},"legacy_ids":["bsg-000080","bsg-s000080"],"name":"FAIRsharing record for: MicroArray Gene Expression Tabular Format","abbreviation":"MAGE-TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.ak8p5g","doi":"10.25504/FAIRsharing.ak8p5g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Sharing of microarray data within the research community has been greatly facilitated by the development of the disclosure and communication standards MIAME and MAGE-ML by the FGED Society. However, the complexity of the MAGE-ML format has made its use impractical for laboratories lacking dedicated bioinformatics support. We propose a simple tab-delimited, spreadsheet-based format, MAGE-TAB, which will become a part of the MAGE microarray data standard and can be used for annotating and communicating microarray data in a MIAME compliant fashion. MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11134},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11187},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11911}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Epigenomics","Genomics","Bioinformatics"],"domains":["Raw microarray data","Assay","Microarray experiment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","European Union"],"publications":[{"id":5,"pubmed_id":17087822,"title":"A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB.","year":2006,"url":"http://doi.org/10.1186/1471-2105-7-489","authors":"Rayner TF, Rocca-Serra P, Spellman PT, Causton HC, Farne A, Holloway E, Irizarry RA, Liu J, Maier DS, Miller M, Petersen K, Quackenbush J, Sherlock G, Stoeckert CJ Jr, White J, Whetzel PL, Wymore F, Parkinson H, Sarkans U, Ball CA, Brazma A","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-489","created_at":"2021-09-30T08:22:21.104Z","updated_at":"2021-09-30T08:22:21.104Z"}],"licence_links":[],"grants":[{"id":7079,"fairsharing_record_id":1254,"organisation_id":1070,"relation":"funds","created_at":"2021-09-30T09:28:25.152Z","updated_at":"2021-09-30T09:28:25.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":1070,"name":"Functional Genomics Data Society (FGED)","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1255","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-23T13:26:59.637Z","metadata":{"doi":"10.25504/FAIRsharing.j2np9m","name":"Menelas Project Top-Level Ontology","status":"ready","contacts":[{"contact_name":"Jean Charlet","contact_email":"jean.charlet@upmc.fr"}],"homepage":"https://bioportal.lirmm.fr/ontologies/TOP-MENELAS","citations":[],"identifier":1255,"description":"The two main goals MENELAS contributes to are to (i) Provide better account of and better access to medical information through natural languages in order to help physicians in their daily practice, and to (ii) Enhance European cooperation by multilingual access to standardised medical nomenclatures. The major achievements of MENELAS are the realisation of its two functional systems: (i) The Document Indexing System encodes free text PDSs into both an internal representation (a set of Conceptual Graphs) and international nomenclature codes (ICD-9-CM). Instances of the Document Indexing System have been realised for French, English and Dutch ; (ii) The Consultation System allows users to access the information contained in PDSs previously indexed by the Document Indexing System. The test domain for the project was coronary diseases. The existing prototype shows promising results for information retrieval from natural language PDSs and for automatically encoding PDSs into an existing classification such as ICD-9-CM. A set of components, tools, knowledge bases and methods has also been produced by the project. These include language-independent ontology and models for the domain of coronary diseases; conceptual description of the relevant ICD-9-CM codes. This ontology includes a top-ontology, a top-domain ontology and a domain ontology (Coronay diseases surgery). The menelas-top ontology here is the part of the whole ontology without any reference to medical domain.","abbreviation":"TOP-MENELAS","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TOP-MENELAS","name":"TOP-MENELAS","portal":"BioPortal"}]},"legacy_ids":["bsg-000803","bsg-s000803"],"name":"FAIRsharing record for: Menelas Project Top-Level Ontology","abbreviation":"TOP-MENELAS","url":"https://fairsharing.org/10.25504/FAIRsharing.j2np9m","doi":"10.25504/FAIRsharing.j2np9m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The two main goals MENELAS contributes to are to (i) Provide better account of and better access to medical information through natural languages in order to help physicians in their daily practice, and to (ii) Enhance European cooperation by multilingual access to standardised medical nomenclatures. The major achievements of MENELAS are the realisation of its two functional systems: (i) The Document Indexing System encodes free text PDSs into both an internal representation (a set of Conceptual Graphs) and international nomenclature codes (ICD-9-CM). Instances of the Document Indexing System have been realised for French, English and Dutch ; (ii) The Consultation System allows users to access the information contained in PDSs previously indexed by the Document Indexing System. The test domain for the project was coronary diseases. The existing prototype shows promising results for information retrieval from natural language PDSs and for automatically encoding PDSs into an existing classification such as ICD-9-CM. A set of components, tools, knowledge bases and methods has also been produced by the project. These include language-independent ontology and models for the domain of coronary diseases; conceptual description of the relevant ICD-9-CM codes. This ontology includes a top-ontology, a top-domain ontology and a domain ontology (Coronay diseases surgery). The menelas-top ontology here is the part of the whole ontology without any reference to medical domain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Vascular Surgery","Biomedical Science"],"domains":["Cardiovascular disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10447,"fairsharing_record_id":1255,"organisation_id":3927,"relation":"associated_with","created_at":"2023-03-23T13:26:48.332Z","updated_at":"2023-03-23T13:26:48.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":3927,"name":"Laboratoire d'Informatique Médicale et d'Ingénieurie des Connaissances en e-Santé (LIMICS)","types":["Lab"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1256","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-11-08T13:17:20.144Z","metadata":{"doi":"10.25504/FAIRsharing.farr39","name":"G Protein-Coupled Receptor BioAssays Ontology","status":"ready","contacts":[{"contact_name":"Stephan Schurer","contact_email":"sschurer@med.miami.edu"}],"homepage":"http://www.bioassayontology.org/","citations":[],"identifier":1256,"description":"The G protein-coupled receptors (GPCRs) ontology describes pharmacology, biochemistry and physiology of these important and therapeutically promising class of academic and pharmaceutical research targets. Incorporation and comparison of various small molecule screening data sets, such as those deposited in PubChem, ChEMBL, KEGG, PDSP, and/or IUPHAR databases, requires a formalized electronic organization system. In order to bridge the gap between the overflow of HTS data and the bottleneck of integrated analysis tools, herein, we provide the first comprehensive GPCR ontology. The development and utility of GPCR ontology was based on previously developed BioAssay Ontology (BAO). The GPCR ontology contains information about biochemical, pharmacological, and functional properties of individual GPCRs as well as GPCR-selective ligands inclusive of their HTS screening results and other records. This ontology aims to model the relationship between the GPCR binding sites and their physiologic and pharmacologic role in physiology via small molecule chemical structures. ","abbreviation":"BAO-GPCR","support_links":[],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BAO-GPCR","name":"BAO-GPCR","portal":"BioPortal"}]},"legacy_ids":["bsg-000815","bsg-s000815"],"name":"FAIRsharing record for: G Protein-Coupled Receptor BioAssays Ontology","abbreviation":"BAO-GPCR","url":"https://fairsharing.org/10.25504/FAIRsharing.farr39","doi":"10.25504/FAIRsharing.farr39","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The G protein-coupled receptors (GPCRs) ontology describes pharmacology, biochemistry and physiology of these important and therapeutically promising class of academic and pharmaceutical research targets. Incorporation and comparison of various small molecule screening data sets, such as those deposited in PubChem, ChEMBL, KEGG, PDSP, and/or IUPHAR databases, requires a formalized electronic organization system. In order to bridge the gap between the overflow of HTS data and the bottleneck of integrated analysis tools, herein, we provide the first comprehensive GPCR ontology. The development and utility of GPCR ontology was based on previously developed BioAssay Ontology (BAO). The GPCR ontology contains information about biochemical, pharmacological, and functional properties of individual GPCRs as well as GPCR-selective ligands inclusive of their HTS screening results and other records. This ontology aims to model the relationship between the GPCR binding sites and their physiologic and pharmacologic role in physiology via small molecule chemical structures. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Biomedical Science"],"domains":["Small molecule binding","Small molecule","Receptor","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":978,"pubmed_id":25093074,"title":"Evolving BioAssay Ontology (BAO): modularization, integration and applications.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-S1-S5","authors":"Abeyruwan S,Vempati UD,Kucuk-McGinty H,Visser U,Koleti A,Mir A,Sakurai K,Chung C,Bittker JA,Clemons PA,Brudz S,Siripala A,Morales AJ,Romacker M,Twomey D,Bureeva S,Lemmon V,Schurer SC","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-S1-S5","created_at":"2021-09-30T08:24:08.230Z","updated_at":"2021-09-30T08:24:08.230Z"},{"id":2789,"pubmed_id":23155465,"title":"Formalization, annotation and analysis of diverse drug and probe screening assay datasets using the BioAssay Ontology (BAO).","year":2012,"url":"http://doi.org/10.1371/journal.pone.0049198","authors":"Vempati UD,Przydzial MJ,Chung C,Abeyruwan S,Mir A,Sakurai K,Visser U,Lemmon VP,Schurer SC","journal":"PLoS One","doi":"10.1371/journal.pone.0049198","created_at":"2021-09-30T08:27:42.915Z","updated_at":"2021-09-30T08:27:42.915Z"},{"id":2791,"pubmed_id":21702939,"title":"BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-257","authors":"Visser U,Abeyruwan S,Vempati U,Smith RP,Lemmon V,Schurer SC","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-257","created_at":"2021-09-30T08:27:43.197Z","updated_at":"2021-09-30T08:27:43.197Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":3410,"relation":"applies_to_content"}],"grants":[{"id":11079,"fairsharing_record_id":1256,"organisation_id":3790,"relation":"maintains","created_at":"2023-11-08T13:09:54.616Z","updated_at":"2023-11-08T13:09:54.616Z","grant_id":null,"is_lead":true,"saved_state":{"id":3790,"name":"University of Miami Institute for Data Science and Computing","types":["Research institute","University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1249","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:45:16.000Z","updated_at":"2021-11-24T13:18:10.043Z","metadata":{"doi":"10.25504/FAIRsharing.vd694s","name":"Agricultural Metadata Element Set","status":"deprecated","contacts":[],"homepage":"http://aims.fao.org/standards/agmes","citations":[],"identifier":1249,"description":"The Agricultural Metadata Element Set (AgMES) provides a solution to semantic data standards such as the description, resource discovery, interoperability and data exchange for different types of information resources. AgMES as a namespace is designed to include agriculture specific extensions for terms and refinements from established standard metadata namespaces like Dublin Core, AGLS etc.","abbreviation":"AgMES","support_links":[{"url":"http://aims.fao.org/standards/agmes/namespace-specification","name":"AgMES 1.1 Namespace Specification","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2018-10-03","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000706","bsg-s000706"],"name":"FAIRsharing record for: Agricultural Metadata Element Set","abbreviation":"AgMES","url":"https://fairsharing.org/10.25504/FAIRsharing.vd694s","doi":"10.25504/FAIRsharing.vd694s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agricultural Metadata Element Set (AgMES) provides a solution to semantic data standards such as the description, resource discovery, interoperability and data exchange for different types of information resources. AgMES as a namespace is designed to include agriculture specific extensions for terms and refinements from established standard metadata namespaces like Dublin Core, AGLS etc.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Agriculture"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7069,"fairsharing_record_id":1249,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:24.818Z","updated_at":"2021-09-30T09:28:24.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1250","type":"fairsharing_records","attributes":{"created_at":"2020-02-04T11:56:08.000Z","updated_at":"2022-07-20T10:56:25.586Z","metadata":{"name":"Ontology for Experimental Phenotypic Objects","status":"uncertain","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr"}],"homepage":"https://github.com/OpenSILEX/ontology-phis-oepo-field","citations":[],"identifier":1250,"description":"The Ontology for Experimental Phenotypic Objects (OEPO) describes objects involved in phenotyping experiments (e.g. infrastructure, devices, germplasm, scientific objects) and defines a hierarchy between them according to the specificities of the installations and experiments. The OEPO ontology contains three main groups of objects, namely Experimental Condition, Scientific Object, and Germplasm Descriptor. This resource remains available at the listed homepage, but attempts to contact the developers have not been successful. Therefore we have marked OEPO as uncertain. Please get in touch with us if you have any information regarding OEPO.","abbreviation":"OEPO","support_links":[{"url":"llorenc.cabrera-bosquet@inra.fr","name":"Lloren Cabrera-Bosquet","type":"Support email"},{"url":"https://github.com/OpenSILEX/ontology-phis-oepo-field/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2018},"legacy_ids":["bsg-001446","bsg-s001446"],"name":"FAIRsharing record for: Ontology for Experimental Phenotypic Objects","abbreviation":"OEPO","url":"https://fairsharing.org/fairsharing_records/1250","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Experimental Phenotypic Objects (OEPO) describes objects involved in phenotyping experiments (e.g. infrastructure, devices, germplasm, scientific objects) and defines a hierarchy between them according to the specificities of the installations and experiments. The OEPO ontology contains three main groups of objects, namely Experimental Condition, Scientific Object, and Germplasm Descriptor. This resource remains available at the listed homepage, but attempts to contact the developers have not been successful. Therefore we have marked OEPO as uncertain. Please get in touch with us if you have any information regarding OEPO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Experimental measurement","Protocol","Study design","Phenotype","Experimentally determined","Germplasm"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2747,"pubmed_id":30152011,"title":"Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System.","year":2018,"url":"http://doi.org/10.1111/nph.15385","authors":"Neveu P,Tireau A,Hilgert N,Negre V,Mineau-Cesari J,Brichet N,Chapuis R,Sanchez I,Pommier C,Charnomordic B,Tardieu F,Cabrera-Bosquet L","journal":"New Phytol","doi":"10.1111/nph.15385","created_at":"2021-09-30T08:27:37.605Z","updated_at":"2021-09-30T08:27:37.605Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2113,"relation":"undefined"}],"grants":[{"id":7071,"fairsharing_record_id":1250,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:24.890Z","updated_at":"2021-09-30T09:28:24.890Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1251","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:41.569Z","metadata":{"doi":"10.25504/FAIRsharing.qpyp5g","name":"Gating-ML","status":"ready","contacts":[{"contact_name":"Josef Spindlen","contact_email":"jspidlen@bccrc.ca"}],"homepage":"http://flowcyt.sourceforge.net/gating/","identifier":1251,"description":"The Gating-ML specification represents a proposal on how to form unambiguous XML-based gate definitions that may be used independently as well as included as one of the components of ACS. The specification supports rectangular gates in n dimensions (i.e., from one-dimensional range gates up to n-dimensional hyper-rectangular regions), polygon gates in two (and more) dimensions, ellipsoid gates in n dimensions, decision tree structures, and Boolean collections of any of the types of gates. Gates can be uniquely identified and may be ordered into a hierarchical structure to describe a gating strategy. Gates may be applied on parameters as in list mode data files (e.g., FCS files) or on transformed parameters as described by any explicit parameter transformation.","abbreviation":"Gating-ML","support_links":[{"url":"flowcyt-devel@lists.sourceforge.net","type":"Mailing list"},{"url":"http://sourceforge.net/projects/flowcyt/files/","type":"Help documentation"},{"url":"http://flowcyt.sourceforge.net/gating/latest.pdf","type":"Help documentation"}]},"legacy_ids":["bsg-000054","bsg-s000054"],"name":"FAIRsharing record for: Gating-ML","abbreviation":"Gating-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.qpyp5g","doi":"10.25504/FAIRsharing.qpyp5g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gating-ML specification represents a proposal on how to form unambiguous XML-based gate definitions that may be used independently as well as included as one of the components of ACS. The specification supports rectangular gates in n dimensions (i.e., from one-dimensional range gates up to n-dimensional hyper-rectangular regions), polygon gates in two (and more) dimensions, ellipsoid gates in n dimensions, decision tree structures, and Boolean collections of any of the types of gates. Gates can be uniquely identified and may be ordered into a hierarchical structure to describe a gating strategy. Gates may be applied on parameters as in list mode data files (e.g., FCS files) or on transformed parameters as described by any explicit parameter transformation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Flow cytometry assay","Data transformation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1323,"pubmed_id":25976062,"title":"ISAC's Gating-ML 2.0 data exchange standard for gating description.","year":2015,"url":"http://doi.org/10.1002/cyto.a.22690","authors":"Spidlen J,Moore W,Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.22690","created_at":"2021-09-30T08:24:48.042Z","updated_at":"2021-09-30T08:24:48.042Z"},{"id":1381,"pubmed_id":18773465,"title":"Gating-ML: XML-based gating descriptions in flow cytometry.","year":2008,"url":"http://doi.org/10.1002/cyto.a.20637","authors":"Spidlen J,Leif RC,Moore W,Roederer M,Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.20637","created_at":"2021-09-30T08:24:54.442Z","updated_at":"2021-09-30T08:24:54.442Z"},{"id":1829,"pubmed_id":21385382,"title":"Flow cytometry data standards.","year":2011,"url":"http://doi.org/10.1186/1756-0500-4-50","authors":"Spidlen J,Shooshtari P,Kollmann TR,Brinkman RR","journal":"BMC Res Notes","doi":"10.1186/1756-0500-4-50","created_at":"2021-09-30T08:25:45.430Z","updated_at":"2021-09-30T08:25:45.430Z"}],"licence_links":[],"grants":[{"id":7074,"fairsharing_record_id":1251,"organisation_id":2778,"relation":"maintains","created_at":"2021-09-30T09:28:24.988Z","updated_at":"2021-09-30T09:28:24.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":2778,"name":"The Flow Informatics and Computational Cytometry Society (FICCS)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7072,"fairsharing_record_id":1251,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:24.929Z","updated_at":"2021-09-30T09:29:13.252Z","grant_id":144,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 EB008400","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7073,"fairsharing_record_id":1251,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:28:24.959Z","updated_at":"2021-09-30T09:29:04.886Z","grant_id":84,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"1R01EB008400","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7991,"fairsharing_record_id":1251,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:30:16.530Z","updated_at":"2021-09-30T09:30:16.625Z","grant_id":632,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"EB005034","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1252","type":"fairsharing_records","attributes":{"created_at":"2016-11-01T13:24:52.000Z","updated_at":"2023-05-19T09:31:06.466Z","metadata":{"doi":"10.25504/FAIRsharing.s0k240","name":"Template for Intervention Description and Replication","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/tidier/","citations":[],"identifier":1252,"description":"To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The 12 item TIDieR checklist is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). For authors of reports of randomised trials, it is recommended that TIDieR is used in conjunction with the CONSORT checklist: when authors complete item 5 of the CONSORT checklist, they should insert “refer to TIDieR checklist” and provide a separate completed TIDieR checklist. Similarly, for authors submitting protocols of trials, the TIDieR checklist can be referred to when dealing with item 11 of the SPIRIT 2013 checklist (although TIDieR items 10 and 12 are not applicable to protocols as they cannot be completed until the study is complete).","abbreviation":"TIDieR","support_links":[{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"http://www.equator-network.org/reporting-guidelines/tidier/","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-000684","bsg-s000684"],"name":"FAIRsharing record for: Template for Intervention Description and Replication","abbreviation":"TIDieR","url":"https://fairsharing.org/10.25504/FAIRsharing.s0k240","doi":"10.25504/FAIRsharing.s0k240","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The 12 item TIDieR checklist is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). For authors of reports of randomised trials, it is recommended that TIDieR is used in conjunction with the CONSORT checklist: when authors complete item 5 of the CONSORT checklist, they should insert “refer to TIDieR checklist” and provide a separate completed TIDieR checklist. Similarly, for authors submitting protocols of trials, the TIDieR checklist can be referred to when dealing with item 11 of the SPIRIT 2013 checklist (although TIDieR items 10 and 12 are not applicable to protocols as they cannot be completed until the study is complete).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12507}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Canada","France","United Kingdom"],"publications":[{"id":1738,"pubmed_id":24609605,"title":"Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide.","year":2014,"url":"http://doi.org/10.1136/bmj.g1687","authors":"Hoffmann TC,Glasziou PP,Boutron I,Milne R,Perera R,Moher D,Altman DG,Barbour V,Macdonald H,Johnston M,Lamb SE,Dixon-Woods M,McCulloch P,Wyatt JC,Chan AW,Michie S","journal":"BMJ","doi":"10.1136/bmj.g1687","created_at":"2021-09-30T08:25:34.996Z","updated_at":"2021-09-30T08:25:34.996Z"}],"licence_links":[],"grants":[{"id":7075,"fairsharing_record_id":1252,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:28:25.018Z","updated_at":"2021-09-30T09:28:25.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1253","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.396Z","metadata":{"doi":"10.25504/FAIRsharing.5x3gnz","name":"Coding Symbols for a Thesaurus of Adverse Reaction Terms","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@ntis.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/CST/","identifier":1253,"description":"Coding Symbols for Thesaurus of Adverse Reaction Terms (COSTART). 5th ed. Rockville (MD). COSTART is used for coding, filing, and retrieving post-marketing adverse drug and biologic experience reports. COSTART is organized in body system and pathophysiology hierarchies, as well as a separate fetal/neonatal category of less than 20 terms. COSTART has been superseded by the Medical Dictionary for Regulatory Activities (MedDRA) Terminology.","abbreviation":"COSTART","support_links":[{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/CST/","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COSTART","name":"COSTART","portal":"BioPortal"}],"deprecation_date":"2016-05-26","deprecation_reason":"This resource has been been deprecated, with the last update being made in 1999."},"legacy_ids":["bsg-002595","bsg-s002595"],"name":"FAIRsharing record for: Coding Symbols for a Thesaurus of Adverse Reaction Terms","abbreviation":"COSTART","url":"https://fairsharing.org/10.25504/FAIRsharing.5x3gnz","doi":"10.25504/FAIRsharing.5x3gnz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Coding Symbols for Thesaurus of Adverse Reaction Terms (COSTART). 5th ed. Rockville (MD). COSTART is used for coding, filing, and retrieving post-marketing adverse drug and biologic experience reports. COSTART is organized in body system and pathophysiology hierarchies, as well as a separate fetal/neonatal category of less than 20 terms. COSTART has been superseded by the Medical Dictionary for Regulatory Activities (MedDRA) Terminology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Drug","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":1565,"relation":"undefined"}],"grants":[{"id":7076,"fairsharing_record_id":1253,"organisation_id":2952,"relation":"funds","created_at":"2021-09-30T09:28:25.042Z","updated_at":"2021-09-30T09:28:25.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7078,"fairsharing_record_id":1253,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:25.114Z","updated_at":"2021-09-30T09:28:25.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1257","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.545Z","metadata":{"doi":"10.25504/FAIRsharing.mvbjrq","name":"CDISC Study/Trial Design Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/studytrial-design-model-xml/study-design-xml-version-1-0","identifier":1257,"description":"The CDISC Study/Trial Design Model in XML (SDM) is an extension of ODM and enables organizations to provide rigorous, machine-readable, interchangeable descriptions of the designs of their clinical studies, including treatment plans, eligibility and times and events. SDM defines three key sub-modules – Structure, Workflow, and Timing – permitting various levels of detail in any representation of a clinical study’s design.","abbreviation":"CDISC SDM","year_creation":2009},"legacy_ids":["bsg-000566","bsg-s000566"],"name":"FAIRsharing record for: CDISC Study/Trial Design Model","abbreviation":"CDISC SDM","url":"https://fairsharing.org/10.25504/FAIRsharing.mvbjrq","doi":"10.25504/FAIRsharing.mvbjrq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CDISC Study/Trial Design Model in XML (SDM) is an extension of ODM and enables organizations to provide rigorous, machine-readable, interchangeable descriptions of the designs of their clinical studies, including treatment plans, eligibility and times and events. SDM defines three key sub-modules – Structure, Workflow, and Timing – permitting various levels of detail in any representation of a clinical study’s design.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17390},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11195},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11284},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11808},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12041},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12476}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Clinical Studies","Biomedical Science","Preclinical Studies"],"domains":["Cell line","Workflow","Protocol","Study design","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"CDISC Intellectual Property Policy","licence_id":110,"licence_url":"https://www.cdisc.org/sites/default/files/2020-09/cdisc_policy_003_intellectual_property_v2019.pdf","link_id":666,"relation":"undefined"}],"grants":[{"id":7082,"fairsharing_record_id":1257,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:25.242Z","updated_at":"2021-09-30T09:28:25.242Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7081,"fairsharing_record_id":1257,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:28:25.218Z","updated_at":"2021-09-30T09:28:25.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1258","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.899Z","metadata":{"doi":"10.25504/FAIRsharing.zrmjr7","name":"Minimum Information about an array-based toxicogenomics experiment","status":"deprecated","contacts":[{"contact_name":"Susanna-Assunta Sansone","contact_email":"sansone@ebi.ac.uk"}],"homepage":"http://mibbi.sourceforge.net/projects/MIAME-Tox.shtml","identifier":1258,"description":"MIAME/Tox was developed to extend MIAME for array-based toxicogenomics experiments.","abbreviation":"MIAME/Tox","support_links":[{"url":"mged-tox@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2003,"deprecation_date":"2018-04-25","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000191","bsg-s000191"],"name":"FAIRsharing record for: Minimum Information about an array-based toxicogenomics experiment","abbreviation":"MIAME/Tox","url":"https://fairsharing.org/10.25504/FAIRsharing.zrmjr7","doi":"10.25504/FAIRsharing.zrmjr7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME/Tox was developed to extend MIAME for array-based toxicogenomics experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11589},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11991},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16655}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicogenomics","Life Science","Transcriptomics"],"domains":["Expression data","Ribonucleic acid","Small molecule","DNA microarray","Toxicity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":850,"pubmed_id":16901222,"title":"A strategy capitalizing on synergies: the Reporting Structure for Biological Investigation (RSBI) working group.","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.164","authors":"Sansone SA,Rocca-Serra P,Tong W,Fostel J,Morrison N,Jones AR","journal":"OMICS","doi":"10.1089/omi.2006.10.164","created_at":"2021-09-30T08:23:53.822Z","updated_at":"2021-09-30T08:23:53.822Z"}],"licence_links":[],"grants":[{"id":9258,"fairsharing_record_id":1258,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.887Z","updated_at":"2022-04-11T12:07:25.887Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1259","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2023-03-09T10:08:38.031Z","metadata":{"doi":"10.25504/FAIRsharing.wd8j2q","name":"bibliotek-o","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu"}],"homepage":"https://github.com/ld4l-labs/bibliotek-o","citations":[],"identifier":1259,"description":"bibliotek-o is an ontology framework for modeling bibliographic metadata based on the Library of Congress BIBFRAME ontology. It includes: the bibliotek-o ontology, which defines extensions and modifications to BIBFRAME and is intended to be used as a supplement to the core BIBFRAME ontology; a set of external ontology fragments (including BIBFRAME) intended for use with the bibliotek-o ontology; and a data model and application profile - i.e., a set of recommended models and patterns for expressing bibliographic metadata using BIBFRAME, the bibliotek-o ontology, and other external ontologies. bibliotek-o 2017-07-06 Release of Version 1.1.0 will remain frozen until further notice.","abbreviation":"bibliotek-o","support_links":[{"url":"https://github.com/ld4l-labs/bibliotek-o/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/ld4l-labs/bibliotek-o","name":"bibliotek-o GitHub Repository","type":"Github"},{"url":"https://bibliotek-o.org/overview/overview.html","name":"Overview Diagram","type":"Help documentation"},{"url":"https://bibliotek-o.org/overview/overview.html#","name":"Ontology Modules","type":"Help documentation"},{"url":"https://wiki.duraspace.org/display/LD4P/bibliotek-o","name":"bibliotek-o on LD4P","type":"Help documentation"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIBLIOTEK-O","name":"BIBLIOTEK-O","portal":"BioPortal"}]},"legacy_ids":["bsg-000943","bsg-s000943"],"name":"FAIRsharing record for: bibliotek-o","abbreviation":"bibliotek-o","url":"https://fairsharing.org/10.25504/FAIRsharing.wd8j2q","doi":"10.25504/FAIRsharing.wd8j2q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: bibliotek-o is an ontology framework for modeling bibliographic metadata based on the Library of Congress BIBFRAME ontology. It includes: the bibliotek-o ontology, which defines extensions and modifications to BIBFRAME and is intended to be used as a supplement to the core BIBFRAME ontology; a set of external ontology fragments (including BIBFRAME) intended for use with the bibliotek-o ontology; and a data model and application profile - i.e., a set of recommended models and patterns for expressing bibliographic metadata using BIBFRAME, the bibliotek-o ontology, and other external ontologies. bibliotek-o 2017-07-06 Release of Version 1.1.0 will remain frozen until further notice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Subject Agnostic"],"domains":["Citation","Bibliography"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1252,"relation":"undefined"}],"grants":[{"id":7085,"fairsharing_record_id":1259,"organisation_id":95,"relation":"funds","created_at":"2021-09-30T09:28:25.317Z","updated_at":"2021-09-30T09:28:25.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":95,"name":"Andrew W. Mellon Foundation, New York, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7084,"fairsharing_record_id":1259,"organisation_id":1718,"relation":"maintains","created_at":"2021-09-30T09:28:25.292Z","updated_at":"2021-09-30T09:28:25.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":1718,"name":"Linked Data for Production (LD4P), USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1272","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.834Z","metadata":{"doi":"10.25504/FAIRsharing.r87bgr","name":"CDISC Clinical Data Acquisition Standards Harmonization","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/cdash","identifier":1272,"description":"CDASH establishes a standard way to collect data in a similar way across studies and sponsors so that data collection formats and structures provide clear traceability of submission data into the Study Data Tabulation Model (SDTM), delivering more transparency to regulators and others who conduct data review.","abbreviation":"CDISC CDASH","support_links":[{"url":"https://www.cdisc.org/education/course/cdash-implementation","name":"CDASH Implementation","type":"Training documentation"}]},"legacy_ids":["bsg-000053","bsg-s000053"],"name":"FAIRsharing record for: CDISC Clinical Data Acquisition Standards Harmonization","abbreviation":"CDISC CDASH","url":"https://fairsharing.org/10.25504/FAIRsharing.r87bgr","doi":"10.25504/FAIRsharing.r87bgr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDASH establishes a standard way to collect data in a similar way across studies and sponsors so that data collection formats and structures provide clear traceability of submission data into the Study Data Tabulation Model (SDTM), delivering more transparency to regulators and others who conduct data review.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17343},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11017},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11258},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11800},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11914},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12390}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Data acquisition","Report"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7117,"fairsharing_record_id":1272,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:26.376Z","updated_at":"2021-09-30T09:28:26.376Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7118,"fairsharing_record_id":1272,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:26.407Z","updated_at":"2021-09-30T09:28:26.407Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1273","type":"fairsharing_records","attributes":{"created_at":"2016-10-20T18:44:15.000Z","updated_at":"2021-11-24T13:18:46.668Z","metadata":{"doi":"10.25504/FAIRsharing.9xsgcr","name":"Phenotype eXchange Format","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjm@berkeleybop.org"}],"homepage":"https://github.com/phenopackets/phenopacket-format","identifier":1273,"description":"The health of an individual organism results from a complex interplay between its genes and environment. Although great strides have been made in standardizing the representation of genetic information for exchange, there are no comparable standards to represent phenotypes (e.g. patient symptoms and disease features) and environmental factors (Figure 1). Phenotypic abnormalities of individual organisms are currently described in diverse places and in diverse formats: publications, databases, health records, registries, clinical trials, and even social media. However, the lack of standardization, accessibility, and computability among these contexts makes it extremely difficult to effectively extract and utilize these data, hindering the understanding of genetic and environmental contributions to disease.","abbreviation":"PXF","support_links":[{"url":"https://github.com/phenopackets/phenopacket-format/wiki/Tutorial","type":"Github"},{"url":"https://github.com/phenopackets/phenopacket-reference-implementation","type":"Github"},{"url":"https://github.com/phenopackets/phenopacket-format/wiki/Getting-Started","type":"Github"},{"url":"https://f1000research.com/slides/5-1649","type":"Help documentation"}],"year_creation":2015,"associated_tools":[{"url":"https://github.com/phenopackets/pxftools","name":"PXFtools command line utility"},{"url":"https://github.com/phenopackets/phenopacket-python","name":"Phenopacket Python"}]},"legacy_ids":["bsg-000681","bsg-s000681"],"name":"FAIRsharing record for: Phenotype eXchange Format","abbreviation":"PXF","url":"https://fairsharing.org/10.25504/FAIRsharing.9xsgcr","doi":"10.25504/FAIRsharing.9xsgcr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The health of an individual organism results from a complex interplay between its genes and environment. Although great strides have been made in standardizing the representation of genetic information for exchange, there are no comparable standards to represent phenotypes (e.g. patient symptoms and disease features) and environmental factors (Figure 1). Phenotypic abnormalities of individual organisms are currently described in diverse places and in diverse formats: publications, databases, health records, registries, clinical trials, and even social media. However, the lack of standardization, accessibility, and computability among these contexts makes it extremely difficult to effectively extract and utilize these data, hindering the understanding of genetic and environmental contributions to disease.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":["Species-environment interaction"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7119,"fairsharing_record_id":1273,"organisation_id":202,"relation":"maintains","created_at":"2021-09-30T09:28:26.446Z","updated_at":"2021-09-30T09:28:26.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":202,"name":"Berkeley BOP (BBOP), Lawrence Berkeley National Labs (LBNL), Berkeley, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1274","type":"fairsharing_records","attributes":{"created_at":"2018-10-16T19:00:34.000Z","updated_at":"2022-07-20T09:14:41.504Z","metadata":{"doi":"10.25504/FAIRsharing.b7e5d8","name":"Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"fgdc@fgdc.gov"}],"homepage":"https://www.fgdc.gov/standards/projects/csdgm_rs_ex/remote-sensing-metadata","citations":[],"identifier":1274,"description":"This standard provides extensions to the Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata for describing geospatial data obtained from remote sensing.","abbreviation":"FGDC-STD-012-2002","support_links":[{"url":"https://twitter.com/fgdcgov","name":"Twitter","type":"Twitter"}],"year_creation":2002},"legacy_ids":["bsg-001328","bsg-s001328"],"name":"FAIRsharing record for: Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata","abbreviation":"FGDC-STD-012-2002","url":"https://fairsharing.org/10.25504/FAIRsharing.b7e5d8","doi":"10.25504/FAIRsharing.b7e5d8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard provides extensions to the Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata for describing geospatial data obtained from remote sensing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Geological mapping"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7120,"fairsharing_record_id":1274,"organisation_id":1001,"relation":"maintains","created_at":"2021-09-30T09:28:26.478Z","updated_at":"2021-09-30T09:28:26.478Z","grant_id":null,"is_lead":true,"saved_state":{"id":1001,"name":"Federal Geographic Data Committee (FGDC), Virginia, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1265","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-14T07:47:39.370Z","metadata":{"doi":"10.25504/FAIRsharing.qnkw45","name":"Medical Subject Headings","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"publicinfo@nlm.nih.gov"}],"homepage":"http://www.nlm.nih.gov/mesh/","citations":[],"identifier":1265,"description":"The Medical Subject Headings (MeSH®) thesaurus is a controlled vocabulary produced by the National Library of Medicine and used for indexing, cataloging, and searching for biomedical and health-related information and documents. MeSH includes the subject descriptors appearing in MEDLINE®/PubMed® and other NLM databases. MeSH provides a consistent way to find content with different terminology but the same concepts. Many synonyms, near-synonyms, and closely related concepts are included as entry terms to help users find the most relevant MeSH descriptor for the concept they are seeking. In NLM's online databases, many terms entered by searchers are automatically mapped to MeSH descriptors to facilitate retrieval of relevant information. Various online systems provide access to MeSH and the vocabulary is available in several NLM online systems. These include the MeSH Browser, containing the complete contents of the MeSH vocabulary; the MeSH Entrez databases, which are designed to assist those searching MEDLINE®/PubMed®; and the UMLS Metathesaurus® with links to many other controlled vocabularies. MeSH Records contain three types: Descriptors, Qualifiers, and Supplementary Concept Records (SCRs).","abbreviation":"MESH","support_links":[{"url":"https://pubmed.ncbi.nlm.nih.gov/help/#pubmedhelp.Searching_by_using_t","name":"PubMed User Guide","type":"Help documentation"},{"url":"https://learn.nlm.nih.gov/documentation/training-packets/T0042010P/","name":"PubMed® Online Training","type":"Training documentation"},{"url":"https://learn.nlm.nih.gov/documentation/training-packets/T000101112/","name":"Training Packets","type":"Training documentation"},{"url":"https://www.nlm.nih.gov/mesh/whatsnew.html","name":"News","type":"Blog/News"},{"url":"https://list.nih.gov/cgi-bin/wa.exe?SUBED1=NLM-MESH-ANNOUNCE\u0026A=1","name":"NLM MeSH Data News","type":"Mailing list"},{"url":"https://pubmed.ncbi.nlm.nih.gov/help/#using-mesh-database","name":"Using the MeSH database","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/mesh/meshhome.html","name":"Medical Subject Headings Homepage","type":"Other"},{"url":"https://www.nlm.nih.gov/mesh/introduction.html","name":"Introduction to MeSH","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/mesh/pubtypes.html","name":"MeSH Publication Types","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/mesh/subhierarchy.html","name":"MeSH Qualifiers List","type":"Help documentation"}],"year_creation":1960,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MESH","name":"MESH","portal":"BioPortal"}]},"legacy_ids":["bsg-000294","bsg-s000294"],"name":"FAIRsharing record for: Medical Subject Headings","abbreviation":"MESH","url":"https://fairsharing.org/10.25504/FAIRsharing.qnkw45","doi":"10.25504/FAIRsharing.qnkw45","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Medical Subject Headings (MeSH®) thesaurus is a controlled vocabulary produced by the National Library of Medicine and used for indexing, cataloging, and searching for biomedical and health-related information and documents. MeSH includes the subject descriptors appearing in MEDLINE®/PubMed® and other NLM databases. MeSH provides a consistent way to find content with different terminology but the same concepts. Many synonyms, near-synonyms, and closely related concepts are included as entry terms to help users find the most relevant MeSH descriptor for the concept they are seeking. In NLM's online databases, many terms entered by searchers are automatically mapped to MeSH descriptors to facilitate retrieval of relevant information. Various online systems provide access to MeSH and the vocabulary is available in several NLM online systems. These include the MeSH Browser, containing the complete contents of the MeSH vocabulary; the MeSH Entrez databases, which are designed to assist those searching MEDLINE®/PubMed®; and the UMLS Metathesaurus® with links to many other controlled vocabularies. MeSH Records contain three types: Descriptors, Qualifiers, and Supplementary Concept Records (SCRs).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18250},{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17336},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17689},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11169},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12012},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12213},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13200},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13237},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13279}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Life Science","Biomedical Science"],"domains":["Data retrieval","Data model","Literature curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":866,"pubmed_id":13982385,"title":"Medical subject headings.","year":1963,"url":"https://www.ncbi.nlm.nih.gov/pubmed/13982385","authors":"ROGERS FB","journal":"Bull Med Libr Assoc","doi":null,"created_at":"2021-09-30T08:23:55.664Z","updated_at":"2021-09-30T08:23:55.664Z"}],"licence_links":[{"licence_name":"National Library of Medicine Terms and Conditions MeSH","licence_id":1059,"licence_url":"https://www.nlm.nih.gov/databases/download/terms_and_conditions_mesh.html","link_id":3227,"relation":"applies_to_content"},{"licence_name":"UMLS Terminology Services (UTS) License Agreement","licence_id":1060,"licence_url":"https://uts.nlm.nih.gov/uts/assets/LicenseAgreement.pdf","link_id":3228,"relation":"applies_to_content"}],"grants":[{"id":7096,"fairsharing_record_id":1265,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:25.600Z","updated_at":"2021-09-30T09:28:25.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1275","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:31:00.258Z","metadata":{"doi":"10.25504/FAIRsharing.aae3v6","name":"Infectious Disease Ontology Core","status":"deprecated","contacts":[{"contact_name":"Lindsay Cowell","contact_email":"Lindsay.Cowell@utsouthwestern.edu","contact_orcid":"0000-0003-1617-8244"},{"contact_name":"John Beverley","contact_email":"johnbeverley2021@u.northwestern.edu","contact_orcid":"0000-0002-1118-1738"},{"contact_name":"Shane Babcock","contact_email":"babcock8@buffalo.edu","contact_orcid":"0000-0003-0798-114X"}],"homepage":"https://github.com/infectious-disease-ontology/infectious-disease-ontology","citations":[],"identifier":1275,"description":"The IDO ontologies are designed as a set of interoperable ontologies that will together provide coverage of the infectious disease domain. At the core of the set is a general Infectious Disease Ontology (IDO-Core) of entities relevant to both biomedical and clinical aspects of most infectious diseases. Sub-domain specific extensions of IDO-Core complete the set providing ontology coverage of entities relevant to specific pathogens or diseases. Please note that, while the ontology remains available at https://github.com/infectious-disease-ontology/infectious-disease-ontology, it has not been updated in 5 years and should be used with care. Further, the original homepages provided by the resource developers (http://infectiousdiseaseontology.org/ and https://www.bioontology.org//wiki/Index.php/Infectious_Disease_Ontology) are either unavailable or empty.","abbreviation":"IDO","support_links":[{"url":"https://github.com/infectious-disease-ontology/infectious-disease-ontology","name":"IDO on GitHub","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IDO","name":"IDO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ido.html","name":"ido","portal":"OBO Foundry"}],"deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000095","bsg-s000095"],"name":"FAIRsharing record for: Infectious Disease Ontology Core","abbreviation":"IDO","url":"https://fairsharing.org/10.25504/FAIRsharing.aae3v6","doi":"10.25504/FAIRsharing.aae3v6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IDO ontologies are designed as a set of interoperable ontologies that will together provide coverage of the infectious disease domain. At the core of the set is a general Infectious Disease Ontology (IDO-Core) of entities relevant to both biomedical and clinical aspects of most infectious diseases. Sub-domain specific extensions of IDO-Core complete the set providing ontology coverage of entities relevant to specific pathogens or diseases. Please note that, while the ontology remains available at https://github.com/infectious-disease-ontology/infectious-disease-ontology, it has not been updated in 5 years and should be used with care. Further, the original homepages provided by the resource developers (http://infectiousdiseaseontology.org/ and https://www.bioontology.org//wiki/Index.php/Infectious_Disease_Ontology) are either unavailable or empty.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12203},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12412}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Infection Biology","Biomedical Science","Preclinical Studies"],"domains":["Disease process modeling","Disease","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":4162,"pubmed_id":34275487,"title":"The Infectious Disease Ontology in the age of COVID-19.","year":2021,"url":"https://doi.org/10.1186/s13326-021-00245-1","authors":"Babcock S, Beverley J, Cowell LG, Smith B","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-021-00245-1","created_at":"2024-02-29T21:47:32.645Z","updated_at":"2024-02-29T21:47:32.645Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":3516,"relation":"applies_to_content"}],"grants":[{"id":7123,"fairsharing_record_id":1275,"organisation_id":1339,"relation":"maintains","created_at":"2021-09-30T09:28:26.600Z","updated_at":"2021-09-30T09:28:26.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":1339,"name":"Infectious Disease Ontology (IDO) administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7121,"fairsharing_record_id":1275,"organisation_id":335,"relation":"funds","created_at":"2021-09-30T09:28:26.516Z","updated_at":"2021-09-30T09:28:26.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":335,"name":"Burroughs Wellcome Fund","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7122,"fairsharing_record_id":1275,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:26.558Z","updated_at":"2021-09-30T09:28:26.558Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1271","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2021-11-24T13:16:15.891Z","metadata":{"doi":"10.25504/FAIRsharing.2rm2b3","name":"W3C Provenance Ontology","status":"ready","contacts":[{"contact_name":"Timothy Lebo","contact_email":"lebot@rpi.edu"}],"homepage":"http://www.w3.org/TR/prov-o/","identifier":1271,"description":"The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language (OWL2). It is intended for the Linked Data and Semantic Web community. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. PROV-O is one serialization of PROV-DM, the other two being PROV-N and PROV-XML. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-DC provides a mapping from Dublin Core to PROV-O, and is listed in this record. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-O","support_links":[{"url":"team-prov-chairs@w3.org","name":"Provenance Working Group","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-aq/","name":"PROV-AQ: Access and Query","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-dc/","name":"PROV-DC: Links Dublin Core to PROV-O","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PROVO","name":"PROVO","portal":"BioPortal"}]},"legacy_ids":["bsg-000928","bsg-s000928"],"name":"FAIRsharing record for: W3C Provenance Ontology","abbreviation":"PROV-O","url":"https://fairsharing.org/10.25504/FAIRsharing.2rm2b3","doi":"10.25504/FAIRsharing.2rm2b3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language (OWL2). It is intended for the Linked Data and Semantic Web community. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. PROV-O is one serialization of PROV-DM, the other two being PROV-N and PROV-XML. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-DC provides a mapping from Dublin Core to PROV-O, and is listed in this record. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17353},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12943},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13195},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13232},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13283},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13342},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16969}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Spain","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":345,"relation":"undefined"}],"grants":[{"id":7109,"fairsharing_record_id":1271,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:26.024Z","updated_at":"2021-09-30T09:28:26.024Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7111,"fairsharing_record_id":1271,"organisation_id":2249,"relation":"maintains","created_at":"2021-09-30T09:28:26.192Z","updated_at":"2021-09-30T09:28:26.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":2249,"name":"Ontology Engineering Group, Universidad Politecnica de Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7114,"fairsharing_record_id":1271,"organisation_id":379,"relation":"maintains","created_at":"2021-09-30T09:28:26.295Z","updated_at":"2021-09-30T09:28:26.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":379,"name":"Case Western Reserve University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7110,"fairsharing_record_id":1271,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:26.137Z","updated_at":"2021-09-30T09:28:26.137Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7112,"fairsharing_record_id":1271,"organisation_id":3004,"relation":"maintains","created_at":"2021-09-30T09:28:26.229Z","updated_at":"2021-09-30T09:28:26.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":3004,"name":"University of Aberdeen, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7113,"fairsharing_record_id":1271,"organisation_id":2421,"relation":"maintains","created_at":"2021-09-30T09:28:26.262Z","updated_at":"2021-09-30T09:28:26.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":2421,"name":"Rensselaer Polytechnic Institute, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7115,"fairsharing_record_id":1271,"organisation_id":3052,"relation":"maintains","created_at":"2021-09-30T09:28:26.327Z","updated_at":"2021-09-30T09:28:26.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":3052,"name":"University of Edinburgh, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7116,"fairsharing_record_id":1271,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:26.351Z","updated_at":"2021-09-30T09:28:26.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1342","type":"fairsharing_records","attributes":{"created_at":"2016-12-02T03:00:51.000Z","updated_at":"2023-03-28T07:39:04.037Z","metadata":{"doi":"10.25504/FAIRsharing.31hec1","name":"Minimal information about Adaptive Immune Receptor Repertoire","status":"ready","contacts":[{"contact_name":"AIRR Community Standards Working Group","contact_email":"standards@airr-community.org","contact_orcid":null}],"homepage":"https://github.com/airr-community/airr-standards","citations":[{"doi":"10.1038/ni.3873","pubmed_id":29144493,"publication_id":2556}],"identifier":1342,"description":"Minimal information about Adaptive Immune Receptor Repertoire (MiAIRR) is a checklist of minimally required information that we recommend journals adopt, and that could form the requirements for submission to a public data repository. AIRR sequencing studies apply high-throughput sequencing technologies to profile B cell receptors (BCRs) and T cell receptors (TCRs). The standards were developed by the AIRR Community (http://airr-community.org) Minimal Standards Working Group.","abbreviation":"MiAIRR","support_links":[{"url":"https://github.com/airr-community/airr-standards/blob/master/specs/airr-schema.yaml","name":"YAML file for AIRR Standards","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-000689","bsg-s000689"],"name":"FAIRsharing record for: Minimal information about Adaptive Immune Receptor Repertoire","abbreviation":"MiAIRR","url":"https://fairsharing.org/10.25504/FAIRsharing.31hec1","doi":"10.25504/FAIRsharing.31hec1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal information about Adaptive Immune Receptor Repertoire (MiAIRR) is a checklist of minimally required information that we recommend journals adopt, and that could form the requirements for submission to a public data repository. AIRR sequencing studies apply high-throughput sequencing technologies to profile B cell receptors (BCRs) and T cell receptors (TCRs). The standards were developed by the AIRR Community (http://airr-community.org) Minimal Standards Working Group.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11819}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunogenetics","Immunology","Life Science"],"domains":["Immunoglobulin complex","T cell receptor complex","Antibody","Sequencing","Immune system"],"taxonomies":["Gnathostomata"],"user_defined_tags":[],"countries":["Canada","France","Germany","Luxembourg","United States"],"publications":[{"id":2556,"pubmed_id":29144493,"title":"Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data.","year":2017,"url":"http://doi.org/10.1038/ni.3873","authors":"Rubelt F,Busse CE,Bukhari SAC,Burckert JP,Mariotti-Ferrandiz E,Cowell LG,Watson CT,Marthandan N,Faison WJ,Hershberg U,Laserson U,Corrie BD,Davis MM,Peters B,Lefranc MP,Scott JK,Breden F,Luning Prak ET,Kleinstein SH","journal":"Nat Immunol","doi":"10.1038/ni.3873","created_at":"2021-09-30T08:27:13.455Z","updated_at":"2021-09-30T08:27:13.455Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":885,"relation":"undefined"}],"grants":[{"id":7264,"fairsharing_record_id":1342,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:31.785Z","updated_at":"2021-09-30T09:28:31.785Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1343","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-14T15:12:52.319Z","metadata":{"doi":"10.25504/FAIRsharing.qaee9n","name":"ChemDraw Native File Format","status":"ready","contacts":[],"homepage":"https://en.wikipedia.org/wiki/CDX_Format","citations":[],"identifier":1343,"description":"CDX is the native file format of ChemDraw, and is guaranteed to save anything drawn in ChemDraw without loss of data. At the same time, however, its architecture was carefully designed to make it a flexible and general-purpose chemical format. It is intended to be a practical choice for use by non-graphical programs, i.e. ones dealing in connection tables rather than desktop publishing. Because of its ability to incorporate custom information, and because it is in the public domain, CDX has been adopted by the U.S. Patent Office as its standard chemical format. Originally developed by the CambridgeSoft Corporation, and later a subsidiary of PerkinElmer, it is now part of Revvity Signals (https://revvitysignals.com/products/research/chemdraw). Currently, the CDX specification is unavailable on the Revvity Signals website, and so the best solution is to point to the wikipedia page for now. Please get in touch with us if you have an authoritative URL for the specification, or this record's status may need to be revised.","abbreviation":"CDX","support_links":[{"url":"http://www.cambridgesoft.com/contact/support/form/","name":"Support / Contact Form","type":"Contact form"},{"url":"http://www.cambridgesoft.com/support/","name":"Support and Help","type":"Help documentation"}]},"legacy_ids":["bsg-000218","bsg-s000218"],"name":"FAIRsharing record for: ChemDraw Native File Format","abbreviation":"CDX","url":"https://fairsharing.org/10.25504/FAIRsharing.qaee9n","doi":"10.25504/FAIRsharing.qaee9n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDX is the native file format of ChemDraw, and is guaranteed to save anything drawn in ChemDraw without loss of data. At the same time, however, its architecture was carefully designed to make it a flexible and general-purpose chemical format. It is intended to be a practical choice for use by non-graphical programs, i.e. ones dealing in connection tables rather than desktop publishing. Because of its ability to incorporate custom information, and because it is in the public domain, CDX has been adopted by the U.S. Patent Office as its standard chemical format. Originally developed by the CambridgeSoft Corporation, and later a subsidiary of PerkinElmer, it is now part of Revvity Signals (https://revvitysignals.com/products/research/chemdraw). Currently, the CDX specification is unavailable on the Revvity Signals website, and so the best solution is to point to the wikipedia page for now. Please get in touch with us if you have an authoritative URL for the specification, or this record's status may need to be revised.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11733}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Molecular structure","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7265,"fairsharing_record_id":1343,"organisation_id":2307,"relation":"maintains","created_at":"2021-09-30T09:28:31.817Z","updated_at":"2021-09-30T09:28:31.817Z","grant_id":null,"is_lead":false,"saved_state":{"id":2307,"name":"PerkinElmer Inc","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1344","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T11:27:10.000Z","updated_at":"2022-02-08T10:28:45.288Z","metadata":{"doi":"10.25504/FAIRsharing.fe7cda","name":"W3C Provenance XML Schema","status":"ready","contacts":[{"contact_name":"Luc Moreau","contact_email":"l.moreau@ecs.soton.ac.uk","contact_orcid":"0000-0001-5418-6881"}],"homepage":"http://www.w3.org/TR/prov-xml/","identifier":1344,"description":"PROV-XML defines an XML schema for the provenance data model (PROV-DM). This is intended for developers who need a native XML serialization of the PROV data model. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-XML","support_links":[{"url":"team-prov-chairs@w3.org","name":"Provenance Working Group","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001294","bsg-s001294"],"name":"FAIRsharing record for: W3C Provenance XML Schema","abbreviation":"PROV-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.fe7cda","doi":"10.25504/FAIRsharing.fe7cda","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROV-XML defines an XML schema for the provenance data model (PROV-DM). This is intended for developers who need a native XML serialization of the PROV data model. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1855,"relation":"undefined"}],"grants":[{"id":7267,"fairsharing_record_id":1344,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:31.884Z","updated_at":"2021-09-30T09:28:31.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7266,"fairsharing_record_id":1344,"organisation_id":3122,"relation":"maintains","created_at":"2021-09-30T09:28:31.850Z","updated_at":"2021-09-30T09:28:31.850Z","grant_id":null,"is_lead":false,"saved_state":{"id":3122,"name":"University of Southampton, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1345","type":"fairsharing_records","attributes":{"created_at":"2018-06-29T17:49:00.000Z","updated_at":"2021-11-24T13:18:47.207Z","metadata":{"name":"mirGFF3","status":"in_development","contacts":[{"contact_name":"Lorena Pantano","contact_email":"lpantano@iscb.org","contact_orcid":"0000-0002-3859-3249"}],"homepage":"https://github.com/miRTop/mirGFF3","identifier":1345,"description":"Define a GFF3 format for output of small RNA pipelines. Here, we present a community based, open source project to work toward the standardization of miRNA pipelines and encourage the development of downstream tools for visualization, differential expression, sample clustering, and model prediction analyses. This project is an international collaboration, with experts from different countries that have been developing miRNA pipelines and resources. We have described a standard format for the output of miRNA detection and quantification tools using small RNA-seq data. The format is based on the GFF3 standard in order to support reference coordinates and parent/child relationships between the features. The format contains information foreach sequence and its annotation to the miRNA precursor, the definition of reference or isomiR sequence, its quality, the isomiR type, and abundance in the data set. Moreover, we support a command line python tool to manage the miRNA GFF3 format (miRTop). Currently, miRTop can convert the output of commonly used small RNA-Seq pipelines, such as seqbuster, isomiR-SEA, sRNAbench, and Prost!, as well as BAM files to the miRNA GFF3 format. Importantly, the miRge pipeline has adapted the GFF3 format natively. miRTop can convert miRNA GFF3 files to a count matrix that can be easily imported to any downstream tool (i.e. for differential expression analysis).","abbreviation":"mirGFF3","support_links":[{"url":"https://github.com/miRTop/mirtop/issues","name":"issues with API","type":"Github"},{"url":"https://github.com/miRTop/incubator/issues","name":"issues","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://mirtop.readthedocs.io/en/latest/","name":"mirtop 0.3"}]},"legacy_ids":["bsg-001218","bsg-s001218"],"name":"FAIRsharing record for: mirGFF3","abbreviation":"mirGFF3","url":"https://fairsharing.org/fairsharing_records/1345","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Define a GFF3 format for output of small RNA pipelines. Here, we present a community based, open source project to work toward the standardization of miRNA pipelines and encourage the development of downstream tools for visualization, differential expression, sample clustering, and model prediction analyses. This project is an international collaboration, with experts from different countries that have been developing miRNA pipelines and resources. We have described a standard format for the output of miRNA detection and quantification tools using small RNA-seq data. The format is based on the GFF3 standard in order to support reference coordinates and parent/child relationships between the features. The format contains information foreach sequence and its annotation to the miRNA precursor, the definition of reference or isomiR sequence, its quality, the isomiR type, and abundance in the data set. Moreover, we support a command line python tool to manage the miRNA GFF3 format (miRTop). Currently, miRTop can convert the output of commonly used small RNA-Seq pipelines, such as seqbuster, isomiR-SEA, sRNAbench, and Prost!, as well as BAM files to the miRNA GFF3 format. Importantly, the miRge pipeline has adapted the GFF3 format natively. miRTop can convert miRNA GFF3 files to a count matrix that can be easily imported to any downstream tool (i.e. for differential expression analysis).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12537}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Transcriptomics"],"domains":["RNA sequencing","Micro RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy","Norway","Spain","United States"],"publications":[],"licence_links":[{"licence_name":"mirGFF3 MIT License Document","licence_id":515,"licence_url":"https://github.com/miRTop/mirtop/blob/master/LICENSE","link_id":1353,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1354,"relation":"undefined"}],"grants":[{"id":7268,"fairsharing_record_id":1345,"organisation_id":1878,"relation":"maintains","created_at":"2021-09-30T09:28:31.918Z","updated_at":"2021-09-30T09:28:31.918Z","grant_id":null,"is_lead":true,"saved_state":{"id":1878,"name":"miRNA-Transcriptomic Open Project (miRTOP)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1346","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:48:42.939Z","metadata":{"doi":"10.25504/FAIRsharing.g201pt","name":"Agri-Food Experiment Ontology","status":"uncertain","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr","contact_orcid":"0000-0001-8501-6922"}],"homepage":"http://agroportal.lirmm.fr/ontologies/AFEO","citations":[{"doi":"10.1016/j.compag.2017.06.020","publication_id":1148}],"identifier":1346,"description":"The Agri-Food Experiment Ontology (AFEO) is based on two existing ontology resources, OAE (Ontology for Agriculture Experiment) and OFPE (Ontology for Food Processing Experiment). It covers various viticultural practices, winemaking products and operations. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","abbreviation":"AFEO","year_creation":2016},"legacy_ids":["bsg-001110","bsg-s001110"],"name":"FAIRsharing record for: Agri-Food Experiment Ontology","abbreviation":"AFEO","url":"https://fairsharing.org/10.25504/FAIRsharing.g201pt","doi":"10.25504/FAIRsharing.g201pt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agri-Food Experiment Ontology (AFEO) is based on two existing ontology resources, OAE (Ontology for Agriculture Experiment) and OFPE (Ontology for Food Processing Experiment). It covers various viticultural practices, winemaking products and operations. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Agriculture","Life Science","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Indonesia"],"publications":[{"id":1148,"pubmed_id":null,"title":"A generic ontological network for Agri-food experiment integration – Application to viticulture and winemaking","year":2017,"url":"http://doi.org/10.1016/j.compag.2017.06.020","authors":"Aunur Rofiq Muljarto, Jean-Michel Salmon, Brigitte Charnomordic, Patrice Buche, Anne Tireau, Pascal Neveu","journal":"Computers and Electronics in Agriculture, Volume 140, pages 433-442","doi":"10.1016/j.compag.2017.06.020","created_at":"2021-09-30T08:24:27.622Z","updated_at":"2021-09-30T08:24:27.622Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1471,"relation":"undefined"}],"grants":[{"id":7270,"fairsharing_record_id":1346,"organisation_id":1880,"relation":"maintains","created_at":"2021-09-30T09:28:31.966Z","updated_at":"2021-09-30T09:28:31.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":1880,"name":"MISTEA Research Laboratory, Institut national de la recherche agronomique (INRA), Paris, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7269,"fairsharing_record_id":1346,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:31.941Z","updated_at":"2021-09-30T09:28:31.941Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7271,"fairsharing_record_id":1346,"organisation_id":665,"relation":"maintains","created_at":"2021-09-30T09:28:31.991Z","updated_at":"2021-09-30T09:28:31.991Z","grant_id":null,"is_lead":false,"saved_state":{"id":665,"name":"Department of Agroindustrial Technology, Brawijaya University, Indonesia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1347","type":"fairsharing_records","attributes":{"created_at":"2016-11-25T10:52:40.000Z","updated_at":"2021-11-24T13:18:47.286Z","metadata":{"doi":"10.25504/FAIRsharing.bfqdc8","name":"Generic Feature Format Version 2","status":"deprecated","homepage":"http://gmod.org/wiki/GFF2","identifier":1347,"description":"GFF2 is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3. Unfortunately, data is sometimes only available in GFF2 format. GFF2 has a number of shortcomings compared to GFF3. GFF2 can only represent 2 level feature hierarchies, while GFF3 can support arbitrary levels. GFF2 also does not require that column 3, the feature type, be part of the sequence ontology. It can be any string. This often led to quality control and data exchange problems. The GFF format is a flat tab-delimited file, each line of which corresponds to an annotation, or feature. Each line has nine columns.","abbreviation":"GFF2","deprecation_date":"2016-11-25","deprecation_reason":"According to the GMOD website, this format has been superseded by GFF3 (https://biosharing.org/bsg-s000235)."},"legacy_ids":["bsg-000688","bsg-s000688"],"name":"FAIRsharing record for: Generic Feature Format Version 2","abbreviation":"GFF2","url":"https://fairsharing.org/10.25504/FAIRsharing.bfqdc8","doi":"10.25504/FAIRsharing.bfqdc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GFF2 is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3. Unfortunately, data is sometimes only available in GFF2 format. GFF2 has a number of shortcomings compared to GFF3. GFF2 can only represent 2 level feature hierarchies, while GFF3 can support arbitrary levels. GFF2 also does not require that column 3, the feature type, be part of the sequence ontology. It can be any string. This often led to quality control and data exchange problems. The GFF format is a flat tab-delimited file, each line of which corresponds to an annotation, or feature. Each line has nine columns.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"GNU Free Documentation License","licence_id":353,"licence_url":"http://www.gnu.org/licenses/fdl-1.3.html","link_id":52,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1358","type":"fairsharing_records","attributes":{"created_at":"2018-10-04T10:55:03.000Z","updated_at":"2022-07-20T09:10:14.284Z","metadata":{"doi":"10.25504/FAIRsharing.10bab4","name":"CSV Dialect Description Format","status":"ready","contacts":[],"homepage":"http://frictionlessdata.io/specs/csv-dialect/","citations":[],"identifier":1358,"description":"CSV Dialect defines a simple format to describe the various dialects of CSV files in a language agnostic manner. It aims to deal with a reasonably large subset of the features which differ between dialects, such as terminator strings, quoting rules, escape rules and so on. The specification has been modeled around the union of the csv modules in Python and Ruby, and the bulk load capabilities of MySQL and PostgresQL. CSV Dialect has nothing to do with the names, contents or types of the headers or data within the CSV file, only how it is formatted. However, CSV Dialect does allow the presence or absence of a header to be specified, similarly to RFC4180. CSV Dialect is also orthogonal to the character encoding used in the CSV file. Note that it is possible for files in CSV format to contain data in more than one encoding.","abbreviation":"CSV-DDF","support_links":[{"url":"https://discuss.okfn.org/c/frictionless-data","name":"Frictionless Data Forum","type":"Forum"},{"url":"http://frictionlessdata.io/data-packages/","name":"Data Packages Explained","type":"Help documentation"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/frictionlessdata/datapackage-js","name":"JavaScript library"},{"url":"https://github.com/frictionlessdata/datapackage-py","name":"Python library"}]},"legacy_ids":["bsg-001303","bsg-s001303"],"name":"FAIRsharing record for: CSV Dialect Description Format","abbreviation":"CSV-DDF","url":"https://fairsharing.org/10.25504/FAIRsharing.10bab4","doi":"10.25504/FAIRsharing.10bab4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CSV Dialect defines a simple format to describe the various dialects of CSV files in a language agnostic manner. It aims to deal with a reasonably large subset of the features which differ between dialects, such as terminator strings, quoting rules, escape rules and so on. The specification has been modeled around the union of the csv modules in Python and Ruby, and the bulk load capabilities of MySQL and PostgresQL. CSV Dialect has nothing to do with the names, contents or types of the headers or data within the CSV file, only how it is formatted. However, CSV Dialect does allow the presence or absence of a header to be specified, similarly to RFC4180. CSV Dialect is also orthogonal to the character encoding used in the CSV file. Note that it is possible for files in CSV format to contain data in more than one encoding.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United Kingdom","Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":667,"relation":"undefined"}],"grants":[{"id":7284,"fairsharing_record_id":1358,"organisation_id":1063,"relation":"maintains","created_at":"2021-09-30T09:28:32.497Z","updated_at":"2021-09-30T09:28:32.497Z","grant_id":null,"is_lead":true,"saved_state":{"id":1063,"name":"Frictionless Data, Open Knowledge International, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1359","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T12:54:27.000Z","updated_at":"2022-02-08T10:29:04.510Z","metadata":{"doi":"10.25504/FAIRsharing.18b8b4","name":"Marine Community Profile of ISO 19115","status":"ready","contacts":[{"contact_name":"AODN General Contact","contact_email":"info@aodn.org.au"}],"homepage":"https://mcp-profile-docs.readthedocs.io/en/stable/index.html","identifier":1359,"description":"Marine Community Profile of ISO 19115 includes all ISO 19115 core metadata elements and selected non-core elements. The Marine Profile has also defined supplementary metadata elements and codelists to meet the needs of the marine community to support the documentation and discovery of marine resources. While, in late 2016 and early 2017 the AODN Technical Advisory Group met to hold exploratory discussions regarding a port of MCP 2.0 to ISO 19115-1, the current version relates to ISO 19115:2003. However, work has begun on a very preliminary document was compiled outlining the main ISO 19115-1 elements (and extensions) that may be required in a port that would continue to satisfy AODN Portal requirements.","abbreviation":"MCP of ISO 19115","year_creation":2006},"legacy_ids":["bsg-001309","bsg-s001309"],"name":"FAIRsharing record for: Marine Community Profile of ISO 19115","abbreviation":"MCP of ISO 19115","url":"https://fairsharing.org/10.25504/FAIRsharing.18b8b4","doi":"10.25504/FAIRsharing.18b8b4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Marine Community Profile of ISO 19115 includes all ISO 19115 core metadata elements and selected non-core elements. The Marine Profile has also defined supplementary metadata elements and codelists to meet the needs of the marine community to support the documentation and discovery of marine resources. While, in late 2016 and early 2017 the AODN Technical Advisory Group met to hold exploratory discussions regarding a port of MCP 2.0 to ISO 19115-1, the current version relates to ISO 19115:2003. However, work has begun on a very preliminary document was compiled outlining the main ISO 19115-1 elements (and extensions) that may be required in a port that would continue to satisfy AODN Portal requirements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":414,"relation":"undefined"}],"grants":[{"id":7285,"fairsharing_record_id":1359,"organisation_id":148,"relation":"maintains","created_at":"2021-09-30T09:28:32.535Z","updated_at":"2021-09-30T09:28:32.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":148,"name":"Australian Ocean Data Network, Australia","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1360","type":"fairsharing_records","attributes":{"created_at":"2019-11-07T12:43:00.000Z","updated_at":"2021-11-24T13:18:47.428Z","metadata":{"doi":"10.25504/FAIRsharing.yIYItV","name":"Transcription Factor Class Schema","status":"ready","contacts":[{"contact_name":"Edgar Wingender","contact_email":"edgar.wingender@bioinf.med.uni-goettingen.de","contact_orcid":"0000-0002-7729-8453"}],"homepage":"http://www.edgar-wingender.de/TFClass_schema.html","citations":[{"doi":"10.1093/nar/gks1123","pubmed_id":23180794,"publication_id":2618}],"identifier":1360,"description":"The TFClass Schema is an identifier schema for classifying transcription factors according to a six-level schema, four of which are abstractions according to different criteria, while the fifth level represents TF genes and the sixth individual gene products. The first four levels of the TFClass schema are Superclass, Class, Family and Subfamily, with Subfamily an optional category. Two lower levels represent physical entities (i.e. genes and gene products) and have been termed Genera and Species (or \"molecular species\", to avoid confusion with biological species).","abbreviation":"TFClass Schema","year_creation":2012},"legacy_ids":["bsg-001402","bsg-s001402"],"name":"FAIRsharing record for: Transcription Factor Class Schema","abbreviation":"TFClass Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.yIYItV","doi":"10.25504/FAIRsharing.yIYItV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TFClass Schema is an identifier schema for classifying transcription factors according to a six-level schema, four of which are abstractions according to different criteria, while the fifth level represents TF genes and the sixth individual gene products. The first four levels of the TFClass schema are Superclass, Class, Family and Subfamily, with Subfamily an optional category. Two lower levels represent physical entities (i.e. genes and gene products) and have been termed Genera and Species (or \"molecular species\", to avoid confusion with biological species).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12549}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Life Science","Transcriptomics"],"domains":["Expression data","Centrally registered identifier","Transcription factor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2618,"pubmed_id":23180794,"title":"TFClass: an expandable hierarchical classification of human transcription factors.","year":2012,"url":"http://doi.org/10.1093/nar/gks1123","authors":"Wingender E,Schoeps T,Donitz J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1123","created_at":"2021-09-30T08:27:21.435Z","updated_at":"2021-09-30T11:29:40.511Z"}],"licence_links":[],"grants":[{"id":7286,"fairsharing_record_id":1360,"organisation_id":1422,"relation":"maintains","created_at":"2021-09-30T09:28:32.573Z","updated_at":"2021-09-30T09:28:32.573Z","grant_id":null,"is_lead":true,"saved_state":{"id":1422,"name":"Institute of Medical Bioinformatics, University Medical Center Goettingen, Georg August University, Goettingen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1361","type":"fairsharing_records","attributes":{"created_at":"2019-01-02T11:51:26.000Z","updated_at":"2022-07-20T10:52:30.494Z","metadata":{"doi":"10.25504/FAIRsharing.QyajjI","name":"Unified Data Model","status":"ready","contacts":[{"contact_name":"Gabrielle Whittick","contact_email":"gabrielle.whittick@pistoiaalliance.org"}],"homepage":"https://www.pistoiaalliance.org/projects/udm/","citations":[],"identifier":1361,"description":"The aim of the Unified Data Model (UDM) project is to create and publish an open and freely available data format for storage and exchange of experimental information about compound synthesis and biological testing. Originally maintained by Elsevier, ownership of this file format has been transferred to the Pistoia Alliance. Development of the standard is currently focused on making the format more generic and vendor-neutral as well as extending it to cover various screening and compound testing experiments.","abbreviation":"UDM","support_links":[{"url":"UDMinfo@pistoiaalliance.org","name":"UDM Helpdesk","type":"Support email"},{"url":"https://twitter.com/pistoiaalliance","name":"@pistoiaalliance","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001340","bsg-s001340"],"name":"FAIRsharing record for: Unified Data Model","abbreviation":"UDM","url":"https://fairsharing.org/10.25504/FAIRsharing.QyajjI","doi":"10.25504/FAIRsharing.QyajjI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of the Unified Data Model (UDM) project is to create and publish an open and freely available data format for storage and exchange of experimental information about compound synthesis and biological testing. Originally maintained by Elsevier, ownership of this file format has been transferred to the Pistoia Alliance. Development of the standard is currently focused on making the format more generic and vendor-neutral as well as extending it to cover various screening and compound testing experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Drug Discovery","Synthetic Chemistry","Biomedical Science"],"domains":["Reaction data","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"UDM Pistoia alliance","licence_id":805,"licence_url":"https://drive.google.com/file/d/1RFuwW-MO1-sXajMadd73TVlKLBvP2U7p/view","link_id":1714,"relation":"undefined"}],"grants":[{"id":7287,"fairsharing_record_id":1361,"organisation_id":2327,"relation":"maintains","created_at":"2021-09-30T09:28:32.615Z","updated_at":"2021-09-30T09:28:32.615Z","grant_id":null,"is_lead":true,"saved_state":{"id":2327,"name":"Pistoia Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7290,"fairsharing_record_id":1361,"organisation_id":283,"relation":"funds","created_at":"2021-09-30T09:28:32.726Z","updated_at":"2021-09-30T09:28:32.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":283,"name":"Biovia","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7292,"fairsharing_record_id":1361,"organisation_id":2455,"relation":"funds","created_at":"2021-09-30T09:28:32.776Z","updated_at":"2021-09-30T09:28:32.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":2455,"name":"Roche","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7288,"fairsharing_record_id":1361,"organisation_id":2194,"relation":"funds","created_at":"2021-09-30T09:28:32.656Z","updated_at":"2021-09-30T09:28:32.656Z","grant_id":null,"is_lead":false,"saved_state":{"id":2194,"name":"Novartis","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7289,"fairsharing_record_id":1361,"organisation_id":848,"relation":"funds","created_at":"2021-09-30T09:28:32.694Z","updated_at":"2021-09-30T09:28:32.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":848,"name":"Elsevier","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":9326,"fairsharing_record_id":1361,"organisation_id":403,"relation":"funds","created_at":"2022-04-11T12:07:30.612Z","updated_at":"2022-04-11T12:07:30.612Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1362","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:48:50.000Z","updated_at":"2022-12-13T10:26:53.777Z","metadata":{"doi":"10.25504/FAIRsharing.9a3ok9","name":"Simple Line Access Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SLAP/index.html","citations":[{"publication_id":2921}],"identifier":1362,"description":"The Simple Line Access Protocol (SLAP) is an IVOA Data Access protocol which defines a protocol for retrieving spectral lines coming from various Spectral Line Data Collections through a uniform interface within the VO framework. These lines can be either observed or theoretical and will be typically used to identify emission or absorption features in astronomical spectra. It makes use of the Simple Spectral Line Data Model (SSLDM) to characterize spectral lines through the use of uTypes. Physical quantities of units are described by using the standard Units DM. SLAP services can be registered in an IVOA Registry of Resources using the VOResource Extension standard, having a unique ResourceIdentifier in the Registry. The SLAP interface is meant to be reasonably simple to implement by service providers. A basic query will be done in a wavelength range for the different services. The service returns a list of spectral lines formatted as a VOTable. Thus, an implementation of the service may support additional search parameters (some which may be custom to that particular service) to more finely control the selection of spectral lines. The specification also describes how the search on extra parameters has to be done, making use of the support provided by the Simple Spectral Line Data Model (SSLDM).","abbreviation":"SLAP","year_creation":2010},"legacy_ids":["bsg-001155","bsg-s001155"],"name":"FAIRsharing record for: Simple Line Access Protocol","abbreviation":"SLAP","url":"https://fairsharing.org/10.25504/FAIRsharing.9a3ok9","doi":"10.25504/FAIRsharing.9a3ok9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Line Access Protocol (SLAP) is an IVOA Data Access protocol which defines a protocol for retrieving spectral lines coming from various Spectral Line Data Collections through a uniform interface within the VO framework. These lines can be either observed or theoretical and will be typically used to identify emission or absorption features in astronomical spectra. It makes use of the Simple Spectral Line Data Model (SSLDM) to characterize spectral lines through the use of uTypes. Physical quantities of units are described by using the standard Units DM. SLAP services can be registered in an IVOA Registry of Resources using the VOResource Extension standard, having a unique ResourceIdentifier in the Registry. The SLAP interface is meant to be reasonably simple to implement by service providers. A basic query will be done in a wavelength range for the different services. The service returns a list of spectral lines formatted as a VOTable. Thus, an implementation of the service may support additional search parameters (some which may be custom to that particular service) to more finely control the selection of spectral lines. The specification also describes how the search on extra parameters has to be done, making use of the support provided by the Simple Spectral Line Data Model (SSLDM).","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11451}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2921,"pubmed_id":null,"title":"Simple Line Access Protocol Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.specQ1209O","authors":"Osuna, Pedro; Salgado, Jesus; Guainazzi, Matteo; Barbarisi, Isa; Dubernet, Marie-Lise; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:59.718Z","updated_at":"2021-09-30T08:27:59.718Z"}],"licence_links":[],"grants":[{"id":7293,"fairsharing_record_id":1362,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:32.806Z","updated_at":"2021-09-30T09:28:32.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7294,"fairsharing_record_id":1362,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:32.857Z","updated_at":"2021-09-30T09:28:32.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1339","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-01T10:39:36.641Z","metadata":{"doi":"10.25504/FAIRsharing.njqq5b","name":"ISA-TAB-Nano","status":"ready","contacts":[{"contact_name":"Mervi Heiskanen","contact_email":"heiskame@mail.nih.gov","contact_orcid":"0000-0001-6862-9196"}],"homepage":"https://wiki.nci.nih.gov/display/ICR/ISA-TAB-Nano","citations":[{"doi":"10.1186/1472-6750-13-2","pubmed_id":23311978,"publication_id":247}],"identifier":1339,"description":"ISA-TAB-Nano specifies the format for representing and sharing information about nanomaterials, small molecules and biological specimens along with their assay characterization data (including metadata, and summary data) using spreadsheet or TAB-delimited files.","abbreviation":"ISA-TAB-Nano","support_links":[{"url":"https://wiki.nci.nih.gov/download/attachments/253887742/ISA-TAB-Nano_Overview_508_c.pptx","name":"Powerpoint presentation","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000517","bsg-s000517"],"name":"FAIRsharing record for: ISA-TAB-Nano","abbreviation":"ISA-TAB-Nano","url":"https://fairsharing.org/10.25504/FAIRsharing.njqq5b","doi":"10.25504/FAIRsharing.njqq5b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISA-TAB-Nano specifies the format for representing and sharing information about nanomaterials, small molecules and biological specimens along with their assay characterization data (including metadata, and summary data) using spreadsheet or TAB-delimited files.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12037}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Oncology","Nanotechnology","Life Science","Biomedical Science"],"domains":["Resource metadata","Nanoparticle","Cell line","Assay","Intervention design","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":247,"pubmed_id":23311978,"title":"ISA-TAB-Nano: a specification for sharing nanomaterial research data in spreadsheet-based format.","year":2013,"url":"http://doi.org/10.1186/1472-6750-13-2","authors":"Thomas DG, Gaheen S, Harper SL, Fritts M, Klaessig F, Hahn-Dantona E, Paik D, Pan S, Stafford GA, Freund ET, Klemm JD, Baker NA.","journal":"BMC biotechnology","doi":"10.1186/1472-6750-13-2","created_at":"2021-09-30T08:22:46.731Z","updated_at":"2021-09-30T08:22:46.731Z"}],"licence_links":[],"grants":[{"id":8273,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:31:51.807Z","updated_at":"2021-09-30T09:31:51.864Z","grant_id":1361,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01 GM069702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7259,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:28:31.615Z","updated_at":"2021-09-30T09:30:42.940Z","grant_id":836,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54 CA119367","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7257,"fairsharing_record_id":1339,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:28:31.536Z","updated_at":"2021-09-30T09:30:59.907Z","grant_id":971,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"ES016896-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8200,"fairsharing_record_id":1339,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:31:28.914Z","updated_at":"2021-09-30T09:31:28.959Z","grant_id":1189,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"P30 ES03850","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8336,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:09.418Z","updated_at":"2021-09-30T09:32:09.497Z","grant_id":1493,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8430,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:36.452Z","updated_at":"2021-09-30T09:32:36.504Z","grant_id":1697,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U01 NS073457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8473,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:48.635Z","updated_at":"2021-09-30T09:32:48.682Z","grant_id":1785,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54 CA151459","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7258,"fairsharing_record_id":1339,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:28:31.572Z","updated_at":"2021-09-30T09:28:31.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute at Frederick","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7260,"fairsharing_record_id":1339,"organisation_id":49,"relation":"funds","created_at":"2021-09-30T09:28:31.642Z","updated_at":"2021-09-30T09:31:46.585Z","grant_id":1320,"is_lead":false,"saved_state":{"id":49,"name":"Air Force Research Laboratory, USA","grant":"FA8650-05-1-5041","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1340","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T11:28:38.000Z","updated_at":"2022-02-08T10:28:46.859Z","metadata":{"doi":"10.25504/FAIRsharing.36c7ea","name":"W3C Provenance Data Model","status":"ready","contacts":[{"contact_name":"Luc Moreau","contact_email":"l.moreau@ecs.soton.ac.uk","contact_orcid":"0000-0002-3494-120X"}],"homepage":"http://www.w3.org/TR/prov-dm/","identifier":1340,"description":"PROV-DM defines a conceptual data model for provenance including UML diagrams. PROV-O, PROV-XML and PROV-N are serializations of this conceptual model. A companion document, PROV-CONSTRAINTS, is linked within this record and specifies the set of constraints that provenance should follow. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-Dictionary is also referenced within this record, and describes Dictionary, a specific type of Collection with a logical structure consisting of key-entity pairs and created to facilitate the modeling of provenance for dictionary data structures. PROV-SEM, a model-theoretic semantics for the PROV data model, is also linked. Bundles of provenance descriptions can be linked by PROV-LINKS, also listed below. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-DM","support_links":[{"url":"team-prov-chairs@w3.org","name":"Provenance Working Group","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-aq/","name":"PROV-AQ: Access and Query","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-dictionary/","name":"PROV-Dictionary","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-links/","name":"PROV-LINKS","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-constraints/","name":"PROV-CONSTRAINTS","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-sem/","name":"PROV-SEM","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001295","bsg-s001295"],"name":"FAIRsharing record for: W3C Provenance Data Model","abbreviation":"PROV-DM","url":"https://fairsharing.org/10.25504/FAIRsharing.36c7ea","doi":"10.25504/FAIRsharing.36c7ea","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROV-DM defines a conceptual data model for provenance including UML diagrams. PROV-O, PROV-XML and PROV-N are serializations of this conceptual model. A companion document, PROV-CONSTRAINTS, is linked within this record and specifies the set of constraints that provenance should follow. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-Dictionary is also referenced within this record, and describes Dictionary, a specific type of Collection with a logical structure consisting of key-entity pairs and created to facilitate the modeling of provenance for dictionary data structures. PROV-SEM, a model-theoretic semantics for the PROV data model, is also linked. Bundles of provenance descriptions can be linked by PROV-LINKS, also listed below. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17352},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16967}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1121,"relation":"undefined"}],"grants":[{"id":7261,"fairsharing_record_id":1340,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:31.671Z","updated_at":"2021-09-30T09:28:31.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1341","type":"fairsharing_records","attributes":{"created_at":"2015-09-28T10:27:20.000Z","updated_at":"2022-07-20T11:10:43.178Z","metadata":{"doi":"10.25504/FAIRsharing.q7kr4s","name":"Observations and Measurements - XML Implementation","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"simon.cox@csiro.au","contact_orcid":"0000-0002-3884-3420"}],"homepage":"http://www.opengeospatial.org/standards/om","identifier":1341,"description":"This standard specifies an XML implementation for the OGC and ISO Observations and Measurements (O\u0026M) conceptual model (OGC Observations and Measurements v2.0 also published as ISO/DIS 19156), including a schema for Sampling Features. This encoding is an essential dependency for the OGC Sensor Observation Service (SOS) Interface Standard. More specifically, this standard defines XML schemas for observations, and for features involved in sampling when making observations. These provide document models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities.","abbreviation":"OMXML","year_creation":2010},"legacy_ids":["bsg-000620","bsg-s000620"],"name":"FAIRsharing record for: Observations and Measurements - XML Implementation","abbreviation":"OMXML","url":"https://fairsharing.org/10.25504/FAIRsharing.q7kr4s","doi":"10.25504/FAIRsharing.q7kr4s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard specifies an XML implementation for the OGC and ISO Observations and Measurements (O\u0026M) conceptual model (OGC Observations and Measurements v2.0 also published as ISO/DIS 19156), including a schema for Sampling Features. This encoding is an essential dependency for the OGC Sensor Observation Service (SOS) Interface Standard. More specifically, this standard defines XML schemas for observations, and for features involved in sampling when making observations. These provide document models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science","Earth Science"],"domains":["Resource metadata","Experimental measurement","Observation design","Measurement"],"taxonomies":["All"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["Belgium","Germany","United Kingdom","Worldwide"],"publications":[{"id":669,"pubmed_id":null,"title":"Observations and Measurements - XML Implementation","year":2010,"url":"https://repository.oceanbestpractices.org/handle/11329/1101","authors":"Simon J D Cox","journal":"OGC Implementation Specification","doi":null,"created_at":"2021-09-30T08:23:33.835Z","updated_at":"2021-09-30T11:28:30.246Z"}],"licence_links":[],"grants":[{"id":7262,"fairsharing_record_id":1341,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:31.710Z","updated_at":"2021-09-30T09:28:31.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7263,"fairsharing_record_id":1341,"organisation_id":624,"relation":"undefined","created_at":"2021-09-30T09:28:31.743Z","updated_at":"2021-09-30T09:28:31.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":624,"name":"CSIRO Land and Water, Highett, Australia","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1348","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:47.671Z","metadata":{"doi":"10.25504/FAIRsharing.dnk0f6","name":"Generic Feature Format Version 3","status":"ready","homepage":"https://github.com/The-Sequence-Ontology/Specifications/blob/master/gff3.md","identifier":1348,"description":"The Generic Feature Format Version 3 (GFF3) format was developed after earlier formats, although widely used, became fragmented into multiple incompatible dialects. The GFF3 format addresses the most common extensions to GFF, while preserving backward compatibility with previous formats. GFF3 files are nine-column, tab-delimited, plain text files. Literal use of tab, newline, carriage return, the percent (%) sign, and control characters must be encoded using RFC 3986 Percent-Encoding; no other characters may be encoded. Backslash and other ad-hoc escaping conventions that have been added to the GFF format are not allowed. The file contents may include any character in the set supported by the operating environment, although for portability with other systems, use of Latin-1 or Unicode are recommended.","abbreviation":"GFF3","support_links":[{"url":"https://github.com/The-Sequence-Ontology/Specifications/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/python-programming-primer","name":"Python programming primer","type":"TeSS links to training materials"}],"year_creation":2006,"associated_tools":[{"url":"https://github.com/modENCODE-DCC/validator","name":"GFF3 Validator"}]},"legacy_ids":["bsg-000235","bsg-s000235"],"name":"FAIRsharing record for: Generic Feature Format Version 3","abbreviation":"GFF3","url":"https://fairsharing.org/10.25504/FAIRsharing.dnk0f6","doi":"10.25504/FAIRsharing.dnk0f6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Generic Feature Format Version 3 (GFF3) format was developed after earlier formats, although widely used, became fragmented into multiple incompatible dialects. The GFF3 format addresses the most common extensions to GFF, while preserving backward compatibility with previous formats. GFF3 files are nine-column, tab-delimited, plain text files. Literal use of tab, newline, carriage return, the percent (%) sign, and control characters must be encoded using RFC 3986 Percent-Encoding; no other characters may be encoded. Backslash and other ad-hoc escaping conventions that have been added to the GFF format are not allowed. The file contents may include any character in the set supported by the operating environment, although for portability with other systems, use of Latin-1 or Unicode are recommended.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11612},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11860},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12000},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12435},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16923}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Expression data","DNA sequence data","Annotation","Transcription factor binding site prediction","Deoxyribonucleic acid","Gene feature","Exon","Messenger RNA","Coding sequence","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7272,"fairsharing_record_id":1348,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:28:32.017Z","updated_at":"2021-09-30T09:28:32.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1349","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:53:36.045Z","metadata":{"doi":"10.25504/FAIRsharing.md3e78","name":"Audubon Core Multimedia Resources Metadata Schema","status":"ready","contacts":[{"contact_name":"Patricia Mergen","contact_email":"secretary@tdwg.org","contact_orcid":"0000-0003-2848-8231"}],"homepage":"https://ac.tdwg.org/introduction/","citations":[],"identifier":1349,"description":"The Audubon Core Multimedia Resources Metadata schema (“AC schema”, or simply “AC”) is a set of metadata vocabularies for describing biodiversity-related multimedia resources and collections. The specification is independent of how these vocabularies may be represented for machine use. An Audubon Core record is a description of a multimedia resource using the Audubon Core terms. Two kinds of terms are specified by AC: record-level terms and access-level terms.","abbreviation":"AC","support_links":[{"url":"http://lists.tdwg.org/mailman/listinfo","name":"TDWG Mailing List","type":"Mailing list"},{"url":"https://github.com/tdwg/ac","name":"AC Interest Group GitHub Repository","type":"Github"},{"url":"https://github.com/tdwg/ac/issues","name":"Issue Tracker","type":"Contact form"},{"url":"https://ac.tdwg.org/guide/","name":"User Guide","type":"Help documentation"},{"url":"https://ac.tdwg.org/structure/","name":"Introduction to AC Structure","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-000203","bsg-s000203"],"name":"FAIRsharing record for: Audubon Core Multimedia Resources Metadata Schema","abbreviation":"AC","url":"https://fairsharing.org/10.25504/FAIRsharing.md3e78","doi":"10.25504/FAIRsharing.md3e78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Audubon Core Multimedia Resources Metadata schema (“AC schema”, or simply “AC”) is a set of metadata vocabularies for describing biodiversity-related multimedia resources and collections. The specification is independent of how these vocabularies may be represented for machine use. An Audubon Core record is a description of a multimedia resource using the Audubon Core terms. Two kinds of terms are specified by AC: record-level terms and access-level terms.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12271}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":["Image","Multimedia"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":823,"pubmed_id":null,"title":"Discovery and publishing of primary Biodiversity Data associated with multimedia resources: The Audubon Core Strategies and approaches","year":2013,"url":"http://doi.org/10.17161/bi.v8i2.4117","authors":"Robert Morris, Vijay Barve, Mihail Carausu, Vishwas Chavan, José Cuadra, Chris Freeland, Gregor Hagedorn, Patrick Leary, Dimitry Mozzherin, Annette Olson, Gregory Riccardi, Ivan Teage, Greg Whitbread","journal":"Biodiversity Informatics","doi":"10.17161/bi.v8i2.4117","created_at":"2021-09-30T08:23:50.730Z","updated_at":"2021-09-30T08:23:50.730Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2646,"relation":"applies_to_content"}],"grants":[{"id":7273,"fairsharing_record_id":1349,"organisation_id":1097,"relation":"maintains","created_at":"2021-09-30T09:28:32.041Z","updated_at":"2022-03-30T09:27:18.151Z","grant_id":null,"is_lead":true,"saved_state":{"id":1097,"name":"GBIF/TDWG Multimedia Resources Task Group, Boston, MA, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1350","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-05T14:23:10.482Z","metadata":{"doi":"10.25504/FAIRsharing.ydnwd9","name":"Ontology of General Purpose Datatypes","status":"deprecated","contacts":[{"contact_name":"Pance Panov","contact_email":"pance.panov@ijs.si","contact_orcid":"0000-0002-7685-9140"}],"homepage":"http://www.ontodm.com/doku.php?id=ontodt","citations":[],"identifier":1350,"description":"This ontology contains entities such as: datatype, datatype generator, datatype quality and others giving the possibility to represent arbitrary complex datatypes. This is an important fact for a general data mining ontology that wants to represent and query over modeling algorithms for mining structured data. The ontology was first developed under the OntoDM (Ontology of Data Mining is available at http://kt.ijs.si/panovp/OntoDM) ontology, but for generality and reuse purpose it was decided to export it as a separate ontology. Additionally, the OntoDT ontology is based on and ISO/IEC 11404 (http://www.iso.org/iso/catalogue_detail.htm?csnumber=39479) standard and can be reused used independently by any domain ontology that requires representation and reasoning about general purpose datatypes.","abbreviation":"OntoDT","support_links":[{"url":"https://www.dropbox.com/s/0w1gwjja76sipgi/PanovPhD2012.pdf","name":"A Modular Ontology of Data Mining.","type":"Help documentation"}],"year_creation":1996,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTODT","name":"ONTODT","portal":"BioPortal"}],"deprecation_date":"2023-04-05","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002717","bsg-s002717"],"name":"FAIRsharing record for: Ontology of General Purpose Datatypes","abbreviation":"OntoDT","url":"https://fairsharing.org/10.25504/FAIRsharing.ydnwd9","doi":"10.25504/FAIRsharing.ydnwd9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology contains entities such as: datatype, datatype generator, datatype quality and others giving the possibility to represent arbitrary complex datatypes. This is an important fact for a general data mining ontology that wants to represent and query over modeling algorithms for mining structured data. The ontology was first developed under the OntoDM (Ontology of Data Mining is available at http://kt.ijs.si/panovp/OntoDM) ontology, but for generality and reuse purpose it was decided to export it as a separate ontology. Additionally, the OntoDT ontology is based on and ISO/IEC 11404 (http://www.iso.org/iso/catalogue_detail.htm?csnumber=39479) standard and can be reused used independently by any domain ontology that requires representation and reasoning about general purpose datatypes.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12030}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Data Management","Life Science","Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["data science"],"countries":["Slovenia"],"publications":[{"id":1324,"pubmed_id":null,"title":"Generic ontology of datatypes","year":2016,"url":"http://doi.org/10.1016/j.ins.2015.08.006","authors":"PančePanova, Larisa N. Soldatovad, Sašo Džeroskiabc","journal":"Information Sciences","doi":"10.1016/j.ins.2015.08.006","created_at":"2021-09-30T08:24:48.152Z","updated_at":"2021-09-30T08:24:48.152Z"}],"licence_links":[],"grants":[{"id":7276,"fairsharing_record_id":1350,"organisation_id":696,"relation":"maintains","created_at":"2021-09-30T09:28:32.152Z","updated_at":"2021-09-30T09:28:32.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":696,"name":"Department of Computer Science, Brunel University, London, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7274,"fairsharing_record_id":1350,"organisation_id":721,"relation":"maintains","created_at":"2021-09-30T09:28:32.072Z","updated_at":"2021-09-30T09:28:32.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":721,"name":"Department of Knowledge Technologies, Jozef Stefan institute, Ljubljana, Slovenia","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7275,"fairsharing_record_id":1350,"organisation_id":441,"relation":"maintains","created_at":"2021-09-30T09:28:32.114Z","updated_at":"2021-09-30T09:28:32.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":441,"name":"Center of Excellence for Integrated Approaches in Chemistry and Biology of Proteins, Ljubljana, Slovenia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1333","type":"fairsharing_records","attributes":{"created_at":"2015-06-10T09:45:47.000Z","updated_at":"2022-04-11T13:20:05.822Z","metadata":{"doi":"10.25504/FAIRsharing.2b3at8","name":"Marine Microbial Biodiversity, Bioinformatics, Biotechnology Checklist","status":"ready","contacts":[{"contact_name":"Petra ten Hoopen","contact_email":"petra@ebi.ac.uk","contact_orcid":"0000-0003-4242-4015"}],"homepage":"http://www.ebi.ac.uk/ena/submit/microb3-checklist","citations":[{"doi":"10.1186/s40793-015-0001-5","pubmed_id":26203332,"publication_id":1787}],"identifier":1333,"description":"The Micro B3 checklist is a multi-disciplinary standard developed by the Micro B3 Consortium for description of marine microbial sampling. Content of the standard is grouped into six categories covering various aspects of marine microbial sampling. These categories are environment, measurement, sampling, event, sample and organism. Full adoption of the standard allows generation of data records, which are MIxS compliant but also compliant to minimal reporting requirements of the oceanographic and marine biodiversity community, i.e. respectively the Common Data Index (CDI) and the OBIS schema, advancing the metadata interoperability across research domains. Nucleotide sequences of marine microbial samples described according to the Micro B3 checklist can be placed into a very rich environmental context. This checklist had originally been called the M2B3 checklist","abbreviation":"Micro B3","support_links":[{"url":"http://www.microb3.eu/sites/default/files/osd/OSD_Handbook_June_2015.pdf","name":"OSD Handbook","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-000592","bsg-s000592"],"name":"FAIRsharing record for: Marine Microbial Biodiversity, Bioinformatics, Biotechnology Checklist","abbreviation":"Micro B3","url":"https://fairsharing.org/10.25504/FAIRsharing.2b3at8","doi":"10.25504/FAIRsharing.2b3at8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Micro B3 checklist is a multi-disciplinary standard developed by the Micro B3 Consortium for description of marine microbial sampling. Content of the standard is grouped into six categories covering various aspects of marine microbial sampling. These categories are environment, measurement, sampling, event, sample and organism. Full adoption of the standard allows generation of data records, which are MIxS compliant but also compliant to minimal reporting requirements of the oceanographic and marine biodiversity community, i.e. respectively the Common Data Index (CDI) and the OBIS schema, advancing the metadata interoperability across research domains. Nucleotide sequences of marine microbial samples described according to the Micro B3 checklist can be placed into a very rich environmental context. This checklist had originally been called the M2B3 checklist","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12485},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16037}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genomics","Biodiversity","Life Science","Oceanography"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Interoperability"],"countries":["Belgium","Germany","Netherlands","United Kingdom"],"publications":[{"id":1787,"pubmed_id":26203332,"title":"Marine microbial biodiversity, bioinformatics and biotechnology (M2B3) data reporting and service standards.","year":2015,"url":"http://doi.org/10.1186/s40793-015-0001-5","authors":"Ten Hoopen P,Pesant S,Kottmann R,Kopf A,Bicak M,Claus S,Deneudt K,Borremans C,Thijsse P,Dekeyzer S,Schaap DM,Bowler C,Glockner FO,Cochrane G","journal":"Stand Genomic Sci","doi":"10.1186/s40793-015-0001-5","created_at":"2021-09-30T08:25:40.538Z","updated_at":"2021-09-30T08:25:40.538Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1380,"relation":"undefined"}],"grants":[{"id":7241,"fairsharing_record_id":1333,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:30.856Z","updated_at":"2022-04-11T13:20:05.811Z","grant_id":1535,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"287589","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7234,"fairsharing_record_id":1333,"organisation_id":1483,"relation":"maintains","created_at":"2021-09-30T09:28:30.668Z","updated_at":"2021-09-30T09:28:30.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":1483,"name":"International Council for the Exploration of the Sea (ICES), Copenhagen, Denmark","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7236,"fairsharing_record_id":1333,"organisation_id":2777,"relation":"maintains","created_at":"2021-09-30T09:28:30.731Z","updated_at":"2021-09-30T09:28:30.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":2777,"name":"The Flanders Marine Institute (VLIZ), Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7240,"fairsharing_record_id":1333,"organisation_id":1061,"relation":"maintains","created_at":"2021-09-30T09:28:30.831Z","updated_at":"2021-09-30T09:28:30.831Z","grant_id":null,"is_lead":false,"saved_state":{"id":1061,"name":"French Research Institute for Exploitation of the Sea (IFREMER), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7233,"fairsharing_record_id":1333,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:30.629Z","updated_at":"2021-09-30T09:28:30.629Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7235,"fairsharing_record_id":1333,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:30.707Z","updated_at":"2021-09-30T09:28:30.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":7237,"fairsharing_record_id":1333,"organisation_id":1787,"relation":"maintains","created_at":"2021-09-30T09:28:30.756Z","updated_at":"2021-09-30T09:28:30.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":1787,"name":"Max Planck Institute for Marine Microbiology (MPIMM), Bremen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7238,"fairsharing_record_id":1333,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:30.781Z","updated_at":"2021-09-30T09:28:30.781Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7239,"fairsharing_record_id":1333,"organisation_id":1757,"relation":"maintains","created_at":"2021-09-30T09:28:30.806Z","updated_at":"2021-09-30T09:28:30.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":1757,"name":"Marine and Ocean Data Management (MARIS), Voorburg, The Netherlands","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7242,"fairsharing_record_id":1333,"organisation_id":663,"relation":"maintains","created_at":"2021-09-30T09:28:30.882Z","updated_at":"2021-09-30T09:28:30.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":663,"name":"Departement de Biologie (IBENS), Ecole Normale Superieure, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7243,"fairsharing_record_id":1333,"organisation_id":427,"relation":"maintains","created_at":"2021-09-30T09:28:30.908Z","updated_at":"2021-09-30T09:28:30.908Z","grant_id":null,"is_lead":false,"saved_state":{"id":427,"name":"Center for Marine Environmental Sciences (MARUM), University of Bremen, Bremen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1334","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T20:00:30.000Z","updated_at":"2022-12-13T10:24:53.113Z","metadata":{"doi":"10.25504/FAIRsharing.wnbDmb","name":"TAPRegExt","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/TAPRegExt/index.html","citations":[{"publication_id":2938}],"identifier":1334,"description":"TAPRegExt is a VOResource schema extension for describing TAP services. It is an XML encoding standard for metadata about services implementing the table access protocol (TAP). Instance documents are part of the service's registry record or can be obtained from the service itself. They deliver information to both humans and software on the languages, output formats, and upload methods supported by the service, as well as data models implemented by the exposed tables, optional language features, and certain limits enforced by the service. To accommodate a wide variety of requirements, the TAP specification offers implementors many choices on optional features, resource limits, or locally defined functionality. One purpose of TAPRegExt is to allow the service to communicate such choices to remote clients using the mechanisms laid down in the VO Service Interfaces standard","abbreviation":"TAPRegExt","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/TAPRegExt","name":"TAPRegExt Wiki","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/TAPImplementationNotes","name":"Past TAPRegExt Discussions","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001151","bsg-s001151"],"name":"FAIRsharing record for: TAPRegExt","abbreviation":"TAPRegExt","url":"https://fairsharing.org/10.25504/FAIRsharing.wnbDmb","doi":"10.25504/FAIRsharing.wnbDmb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TAPRegExt is a VOResource schema extension for describing TAP services. It is an XML encoding standard for metadata about services implementing the table access protocol (TAP). Instance documents are part of the service's registry record or can be obtained from the service itself. They deliver information to both humans and software on the languages, output formats, and upload methods supported by the service, as well as data models implemented by the exposed tables, optional language features, and certain limits enforced by the service. To accommodate a wide variety of requirements, the TAP specification offers implementors many choices on optional features, resource limits, or locally defined functionality. One purpose of TAPRegExt is to allow the service to communicate such choices to remote clients using the mechanisms laid down in the VO Service Interfaces standard","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11467}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2938,"pubmed_id":null,"title":"TAPRegExt: a VOResource Schema Extension for Describing TAP Services Version 1.0","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0827D","authors":"Demleitner, Markus; Dowler, Patrick; Plante, Ray; Rixon, Guy; Taylor, Mark","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.108Z","updated_at":"2021-09-30T08:28:02.108Z"}],"licence_links":[],"grants":[{"id":7245,"fairsharing_record_id":1334,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:30.966Z","updated_at":"2021-09-30T09:28:30.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7246,"fairsharing_record_id":1334,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:31.004Z","updated_at":"2021-09-30T09:28:31.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1335","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T10:07:02.000Z","updated_at":"2022-12-13T10:24:43.292Z","metadata":{"doi":"10.25504/FAIRsharing.gJ4ayC","name":"IVOA Registry Relational Schema","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/RegTAP/index.html","citations":[{"publication_id":2962}],"identifier":1335,"description":"Registries provide a mechanism with which Virtual Observatory (VO) applications can discover and select resources - first and foremost data and services - that are relevant for a particular scientific problem. This specification defines an interface for searching this resource metadata based on the IVOA's TAP protocol. It specifies a set of tables that comprise a useful subset of the information contained in the registry records, as well as the table's data content in terms of the XML VOResource data model. The general design of the system is geared towards allowing easy authoring of queries.","abbreviation":"RegTAP","support_links":[{"url":"http://ivoa.net/documents/RegTAP/20171206/WD-RegTAP-1.1-20171206.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/RegTAPNext","name":"RegTAP Next Steps (Wiki)","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001203","bsg-s001203"],"name":"FAIRsharing record for: IVOA Registry Relational Schema","abbreviation":"RegTAP","url":"https://fairsharing.org/10.25504/FAIRsharing.gJ4ayC","doi":"10.25504/FAIRsharing.gJ4ayC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Registries provide a mechanism with which Virtual Observatory (VO) applications can discover and select resources - first and foremost data and services - that are relevant for a particular scientific problem. This specification defines an interface for searching this resource metadata based on the IVOA's TAP protocol. It specifies a set of tables that comprise a useful subset of the information contained in the registry records, as well as the table's data content in terms of the XML VOResource data model. The general design of the system is geared towards allowing easy authoring of queries.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11475}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2962,"pubmed_id":null,"title":"IVOA Registry Relational Schema Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.1208D","authors":"Demleitner, Markus; Harrison, Paul; Molinaro, Marco; Greene, Gretchen; Dower, Theresa; Perdikeas, Menelaos","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.025Z","updated_at":"2021-09-30T08:28:05.025Z"}],"licence_links":[],"grants":[{"id":7247,"fairsharing_record_id":1335,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:31.105Z","updated_at":"2021-09-30T09:28:31.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7248,"fairsharing_record_id":1335,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:31.197Z","updated_at":"2021-09-30T09:28:31.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1336","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:58:29.788Z","metadata":{"doi":"10.25504/FAIRsharing.c2wkqx","name":"Natural Collections Descriptions","status":"deprecated","contacts":[{"contact_name":"Neil Thomson","contact_email":"n.thomson@nhm.ac.uk","contact_orcid":"0000-0003-2231-6228"}],"homepage":"https://github.com/tdwg/ncd","identifier":1336,"description":"Natural Collections Description (NCD) (A data standard for exchanging data describing natural history collections) is a proposed data standard for describing collections of natural history materials at the collection level; one NCD record describes one entire collection. The NCD standard covers all types of natural history collections, such as specimens, original artwork, archives, observations, library materials, datasets, photographs or mixed collections such as those that result from expeditions and voyages of discovery. NCD is a draft standard that was submitted for ratification in 2008. Personnel changes in several critical roles caused the ratification process to stall, so the specification has remained as a draft since. The in 2016 reestablished Collection Descriptions Interest Group has decided to discontinue the development of NCD in favour of a new TDWG Collections Description metadata standard.","abbreviation":"NCD","support_links":[{"url":"http://wiki.tdwg.org/twiki/bin/view/NCD/WebHome","type":"Help documentation"}],"year_creation":2008,"deprecation_date":"2021-01-10","deprecation_reason":"The Natural Collections Description data standard was an unratified draft, whose development has been discontinued."},"legacy_ids":["bsg-000202","bsg-s000202"],"name":"FAIRsharing record for: Natural Collections Descriptions","abbreviation":"NCD","url":"https://fairsharing.org/10.25504/FAIRsharing.c2wkqx","doi":"10.25504/FAIRsharing.c2wkqx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Natural Collections Description (NCD) (A data standard for exchanging data describing natural history collections) is a proposed data standard for describing collections of natural history materials at the collection level; one NCD record describes one entire collection. The NCD standard covers all types of natural history collections, such as specimens, original artwork, archives, observations, library materials, datasets, photographs or mixed collections such as those that result from expeditions and voyages of discovery. NCD is a draft standard that was submitted for ratification in 2008. Personnel changes in several critical roles caused the ratification process to stall, so the specification has remained as a draft since. The in 2016 reestablished Collection Descriptions Interest Group has decided to discontinue the development of NCD in favour of a new TDWG Collections Description metadata standard.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12274}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Natural History"],"domains":["Resource collection","Multimedia"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1351","type":"fairsharing_records","attributes":{"created_at":"2016-03-03T15:04:58.000Z","updated_at":"2024-04-18T09:28:39.393Z","metadata":{"doi":"10.25504/FAIRsharing.jqfgxs","name":"Minimum Information about a Biosynthetic Gene cluster","status":"ready","contacts":[{"contact_name":"Marnix Medema","contact_email":"marnix.medema@wur.nl","contact_orcid":"0000-0002-2191-2821"}],"homepage":"http://mibig.secondarymetabolites.org/","identifier":1351,"description":"A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. The Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard was created to facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters.","abbreviation":"MIBiG","year_creation":2015},"legacy_ids":["bsg-000641","bsg-s000641"],"name":"FAIRsharing record for: Minimum Information about a Biosynthetic Gene cluster","abbreviation":"MIBiG","url":"https://fairsharing.org/10.25504/FAIRsharing.jqfgxs","doi":"10.25504/FAIRsharing.jqfgxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. The Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard was created to facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11858}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Sequence cluster","Metabolite","Enzyme","Pathway model"],"taxonomies":["Bacteria","Fungi","Plantae"],"user_defined_tags":[],"countries":["Australia","Austria","Belgium","Canada","China","Czech Republic","Denmark","Finland","France","Germany","Ireland","Japan","Mexico","Netherlands","New Zealand","Norway","Portugal","Saudi Arabia","Slovakia","South Korea","Spain","Switzerland","Ukraine","United Kingdom","United States"],"publications":[{"id":2075,"pubmed_id":26284661,"title":"Minimum Information about a Biosynthetic Gene cluster.","year":2015,"url":"http://doi.org/10.1038/nchembio.1890","authors":"Medema MH et al.","journal":"Nat Chem Biol","doi":"10.1038/nchembio.1890","created_at":"2021-09-30T08:26:13.941Z","updated_at":"2021-09-30T08:26:13.941Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1076,"relation":"undefined"}],"grants":[{"id":7277,"fairsharing_record_id":1351,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:28:32.240Z","updated_at":"2021-09-30T09:28:32.240Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1352","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T12:48:01.433Z","metadata":{"doi":"10.25504/FAIRsharing.ry1ezg","name":"Lentil Ontology","status":"ready","contacts":[{"contact_name":"Karthika Rajendran","contact_email":"K.Rajendran@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_339:ROOT","citations":[],"identifier":1352,"description":"The Lentil Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_339","support_links":[{"url":"SK.Agrawal@cgiar.org","name":"Shiv Kumar Agrawal","type":"Support email"},{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001123","bsg-s001123"],"name":"FAIRsharing record for: Lentil Ontology","abbreviation":"CO_339","url":"https://fairsharing.org/10.25504/FAIRsharing.ry1ezg","doi":"10.25504/FAIRsharing.ry1ezg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Lentil Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Lens culinaris"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":98,"relation":"undefined"}],"grants":[{"id":7279,"fairsharing_record_id":1352,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:32.323Z","updated_at":"2021-09-30T09:28:32.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7278,"fairsharing_record_id":1352,"organisation_id":1475,"relation":"maintains","created_at":"2021-09-30T09:28:32.281Z","updated_at":"2021-09-30T09:28:32.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":1475,"name":"International Center for Agricultural Research in the Dry Areas (ICARDA), Lebanon","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1353","type":"fairsharing_records","attributes":{"created_at":"2018-04-24T13:27:44.000Z","updated_at":"2022-12-05T09:21:34.361Z","metadata":{"name":"Life Science Identifiers","status":"uncertain","contacts":[{"contact_email":"doc-manger@omg.org"}],"homepage":"http://www.lsid.info/","citations":[],"identifier":1353,"description":"Life Science Identifiers (LSID) are a way to name and locate pieces of information on the web. An LSID is a unique identifier for some data, and the LSID protocol specifies a standard way to locate the data (as well as a standard way of describing that data). LSIDs identify biologically significant resources, including species names, concepts, occurrences, and genes or proteins, or data objects that encode information about them. Like other URNs, the LSID becomes actionable when embedded in a URL.\nAn LSID conforms to the URN standards defined by the IETF. Every LSID consists of up to five parts: the Network Identifier (NID); the root DNS name of the issuing authority; the namespace chosen by the issuing authority; the object id unique in that namespace; and finally an optional revision id for storing versioning information. Each part is separated by a colon to make LSIDs easy to parse. Although the specification is still available at the stated homepage, we have marked the identifier schema as Uncertain because the SourceForge site containing the specification was last updated in 2007, and there has been various criticisms of their use. ","abbreviation":"LSID","support_links":[{"url":"info@omg.org","name":"General contact","type":"Support email"},{"url":"http://www.lsid.info/resolver/","name":"LSID resolver","type":"Other"},{"url":"https://en.wikipedia.org/wiki/LSID","name":"LSID Wikipedia (incl summary of controversy over their usage)","type":"Wikipedia"}]},"legacy_ids":["bsg-001184","bsg-s001184"],"name":"FAIRsharing record for: Life Science Identifiers","abbreviation":"LSID","url":"https://fairsharing.org/fairsharing_records/1353","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life Science Identifiers (LSID) are a way to name and locate pieces of information on the web. An LSID is a unique identifier for some data, and the LSID protocol specifies a standard way to locate the data (as well as a standard way of describing that data). LSIDs identify biologically significant resources, including species names, concepts, occurrences, and genes or proteins, or data objects that encode information about them. Like other URNs, the LSID becomes actionable when embedded in a URL.\nAn LSID conforms to the URN standards defined by the IETF. Every LSID consists of up to five parts: the Network Identifier (NID); the root DNS name of the issuing authority; the namespace chosen by the issuing authority; the object id unique in that namespace; and finally an optional revision id for storing versioning information. Each part is separated by a colon to make LSIDs easy to parse. Although the specification is still available at the stated homepage, we have marked the identifier schema as Uncertain because the SourceForge site containing the specification was last updated in 2007, and there has been various criticisms of their use. ","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17388},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12125}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Life Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1356","type":"fairsharing_records","attributes":{"created_at":"2015-07-03T10:03:40.000Z","updated_at":"2022-07-20T12:28:42.786Z","metadata":{"doi":"10.25504/FAIRsharing.576wb","name":"Common Metadata Elements for Cataloging Biomedical Datasets","status":"ready","contacts":[{"contact_name":"Kevin Read","contact_email":"kevin.read@med.nyu.edu","contact_orcid":"0000-0002-7511-9036"}],"homepage":"http://dx.doi.org/10.6084/m9.figshare.1496573","identifier":1356,"description":"The Common Metadata Elements for Cataloging Biomedical Datasets outlines a proposed set of core, minimal metadata elements that can be used to describe biomedical datasets, such as those resulting from research funded by the National Institutes of Health. It can inform efforts to better catalog or index such data to improve discoverability. The proposed metadata elements are based on an analysis of the metadata schemas used in a set of NIH-supported data sharing repositories. Common elements from these data repositories were identified, mapped to existing data-specific metadata standards from to existing multidisciplinary data repositories, DataCite and Dryad, and compared with metadata used in MEDLINE records to establish a sustainable and integrated metadata schema.","abbreviation":null,"year_creation":2013},"legacy_ids":["bsg-000600","bsg-s000600"],"name":"FAIRsharing record for: Common Metadata Elements for Cataloging Biomedical Datasets","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.576wb","doi":"10.25504/FAIRsharing.576wb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Common Metadata Elements for Cataloging Biomedical Datasets outlines a proposed set of core, minimal metadata elements that can be used to describe biomedical datasets, such as those resulting from research funded by the National Institutes of Health. It can inform efforts to better catalog or index such data to improve discoverability. The proposed metadata elements are based on an analysis of the metadata schemas used in a set of NIH-supported data sharing repositories. Common elements from these data repositories were identified, mapped to existing data-specific metadata standards from to existing multidisciplinary data repositories, DataCite and Dryad, and compared with metadata used in MEDLINE records to establish a sustainable and integrated metadata schema.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11197},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12050}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Integration","Biomedical Science"],"domains":["Annotation","Data identity and mapping"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":1262,"pubmed_id":null,"title":"Common Metadata Elements for Cataloging Biomedical Datasets.","year":2015,"url":"http://doi.org/10.6084/m9.figshare.1496573.v1","authors":"Read, Kevin","journal":"Figshare","doi":"10.6084/m9.figshare.1496573.v1","created_at":"2021-09-30T08:24:40.808Z","updated_at":"2021-09-30T08:24:40.808Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1559,"relation":"undefined"}],"grants":[{"id":7282,"fairsharing_record_id":1356,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:32.420Z","updated_at":"2021-09-30T09:28:32.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1357","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T12:12:59.000Z","updated_at":"2021-11-24T13:20:19.400Z","metadata":{"doi":"10.25504/FAIRsharing.95f59a","name":"Encoded Archival Description","status":"ready","homepage":"https://www.loc.gov/ead/","identifier":1357,"description":"Encoded Archival Description (EAD) is an XML standard for encoding archival finding aids, maintained by the Technical Subcommittee for Encoded Archival Standards of the Society of American Archivists, in partnership with the Library of Congress. The current version, EAD3, was first released in 2015. EAD reflects the hierarchical structure of archival collections, and allows for describing both the collection as a whole and its individual parts. EAD is an international archival standard and allows for the standardization of information within and across different repositories. EAD is used throughout the United States, Europe, Australia, and other countries. The structural elements of EAD are easily recognized and used in union catalogs like ArchiveGrid and consortiums like the Online Archive of California, Northwest Digital Archives, and Archives Portal Europe. EAD is expressed in XML, which is a structural and preservation format. XML facilitates repurposing of data. A finding aid in XML can be converted into a variety of different formats for display and access to users. An HTML and PDF version of the finding aid can easily be created via the same EAD document. EAD is interoperable with other standards like Encoded Archival Context.","abbreviation":"EAD XML","support_links":[{"url":"https://www2.archivists.org/contact","name":"SAA Contact Form","type":"Contact form"},{"url":"https://www2.archivists.org/groups/encoded-archival-standards-section/frequently-asked-questions-about-ead-and-ead3","name":"EAD FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/SAA-SDT/EAD3","name":"GitHub Repository","type":"Github"},{"url":"https://github.com/saa-ead-roundtable/ead3-toolkit","name":"EAD3 Starter Kit","type":"Github"},{"url":"https://www2.archivists.org/sites/all/files/TagLibrary-VersionEAD3_0.pdf","name":"Encoded Archival Description Tag Library","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-001297","bsg-s001297"],"name":"FAIRsharing record for: Encoded Archival Description","abbreviation":"EAD XML","url":"https://fairsharing.org/10.25504/FAIRsharing.95f59a","doi":"10.25504/FAIRsharing.95f59a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Encoded Archival Description (EAD) is an XML standard for encoding archival finding aids, maintained by the Technical Subcommittee for Encoded Archival Standards of the Society of American Archivists, in partnership with the Library of Congress. The current version, EAD3, was first released in 2015. EAD reflects the hierarchical structure of archival collections, and allows for describing both the collection as a whole and its individual parts. EAD is an international archival standard and allows for the standardization of information within and across different repositories. EAD is used throughout the United States, Europe, Australia, and other countries. The structural elements of EAD are easily recognized and used in union catalogs like ArchiveGrid and consortiums like the Online Archive of California, Northwest Digital Archives, and Archives Portal Europe. EAD is expressed in XML, which is a structural and preservation format. XML facilitates repurposing of data. A finding aid in XML can be converted into a variety of different formats for display and access to users. An HTML and PDF version of the finding aid can easily be created via the same EAD document. EAD is interoperable with other standards like Encoded Archival Context.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13364}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":102,"relation":"undefined"}],"grants":[{"id":7283,"fairsharing_record_id":1357,"organisation_id":2717,"relation":"maintains","created_at":"2021-09-30T09:28:32.456Z","updated_at":"2021-09-30T09:28:32.456Z","grant_id":null,"is_lead":true,"saved_state":{"id":2717,"name":"Technical Subcommittee for Encoded Archival Standards (TS-EAS), Society of American Archivists, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1337","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:27:13.902Z","metadata":{"doi":"10.25504/FAIRsharing.4cvwxa","name":"NCI Thesaurus","status":"ready","contacts":[{"contact_email":"ncicbiit@mail.nih.gov"}],"homepage":"https://ncit.nci.nih.gov","identifier":1337,"description":"NCI Thesaurus (NCIt) provides reference terminology for many NCI and other systems. It covers vocabulary for clinical care, translational and basic research, and public information and administrative activities. NCIt features: stable, unique codes for biomedical concepts; preferred terms, synonyms, research codes, external source codes, and other information; over 100,000 textual definitions; links to NCI Metathesaurus and other information sources; and over 400,000 cross-links between concepts, providing formal logic-based definition of many concepts. NCIt is a widely recognized standard for biomedical coding and reference, used by a broad variety of public and private partners both nationally and internationally including the Clinical Data Interchange Standards Consortium Terminology (CDISC), the U.S. Food and Drug Administration (FDA), the Federal Medication Terminologies (FMT), and the National Council for Prescription Drug Programs (NCPDP).","abbreviation":"NCIt","support_links":[{"url":"https://wiki.nci.nih.gov/display/EVS/NCI+Thesaurus+FAQ","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wiki.nci.nih.gov/display/VKC/NCI+Thesaurus+Terminology","name":"Additional information","type":"Help documentation"},{"url":"https://github.com/NCI-Thesaurus/thesaurus-obo-edition","name":"NCIT OBO Edition GitHub Repo","type":"Github"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCIT","name":"NCIT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ncit.html","name":"ncit","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000096","bsg-s000096"],"name":"FAIRsharing record for: NCI Thesaurus","abbreviation":"NCIt","url":"https://fairsharing.org/10.25504/FAIRsharing.4cvwxa","doi":"10.25504/FAIRsharing.4cvwxa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NCI Thesaurus (NCIt) provides reference terminology for many NCI and other systems. It covers vocabulary for clinical care, translational and basic research, and public information and administrative activities. NCIt features: stable, unique codes for biomedical concepts; preferred terms, synonyms, research codes, external source codes, and other information; over 100,000 textual definitions; links to NCI Metathesaurus and other information sources; and over 400,000 cross-links between concepts, providing formal logic-based definition of many concepts. NCIt is a widely recognized standard for biomedical coding and reference, used by a broad variety of public and private partners both nationally and internationally including the Clinical Data Interchange Standards Consortium Terminology (CDISC), the U.S. Food and Drug Administration (FDA), the Federal Medication Terminologies (FMT), and the National Council for Prescription Drug Programs (NCPDP).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17337},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11024},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11269},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11814},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11958},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12417},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13178},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13201},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13238},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13280},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16976}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":["Cancer","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1877,"pubmed_id":15360769,"title":"NCI Thesaurus: using science-based terminology to integrate cancer research results.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/15360769","authors":"de Coronado S,Haber MW,Sioutos N,Tuttle MS,Wright LW","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-60750-949-3-33","created_at":"2021-09-30T08:25:51.141Z","updated_at":"2021-09-30T08:25:51.141Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2431,"relation":"undefined"},{"licence_name":"National Cancer Institute Policies","licence_id":543,"licence_url":"https://www.cancer.gov/policies","link_id":2427,"relation":"undefined"}],"grants":[{"id":7250,"fairsharing_record_id":1337,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:28:31.271Z","updated_at":"2021-09-30T09:28:31.271Z","grant_id":null,"is_lead":true,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1338","type":"fairsharing_records","attributes":{"created_at":"2020-05-08T10:01:59.000Z","updated_at":"2023-11-06T09:52:15.178Z","metadata":{"doi":"10.25504/FAIRsharing.X0q5BG","name":"Ciona robusta Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"delphine.dauga@contact-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":1338,"description":"The first ontology describing the anatomy and the development of Ciona robusta, based on the Hotta developmental tables.","abbreviation":null,"support_links":[{"url":"contact@aniseed.cnrs.fr","type":"Support email"}],"year_creation":2015},"legacy_ids":["bsg-001475","bsg-s001475"],"name":"FAIRsharing record for: Ciona robusta Anatomy and Development Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.X0q5BG","doi":"10.25504/FAIRsharing.X0q5BG","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Ciona robusta, based on the Hotta developmental tables.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Ciona robusta"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1014,"pubmed_id":20647237,"title":"The ANISEED database: digital representation, formalization, and elucidation of a chordate developmental program.","year":2010,"url":"http://doi.org/10.1101/gr.108175.110","authors":"Tassy O,Dauga D,Daian F,Sobral D,Lemaire P et al.","journal":"Genome Res","doi":"10.1101/gr.108175.110","created_at":"2021-09-30T08:24:12.272Z","updated_at":"2021-09-30T08:24:12.272Z"},{"id":2201,"pubmed_id":33087765,"title":"The ontology of the anatomy and development of the solitary ascidian Ciona: the swimming larva and its metamorphosis.","year":2020,"url":"http://doi.org/10.1038/s41598-020-73544-9","authors":"Hotta K,Dauga D,Manni L","journal":"Sci Rep","doi":"10.1038/s41598-020-73544-9","created_at":"2021-09-30T08:26:28.048Z","updated_at":"2021-09-30T08:26:28.048Z"}],"licence_links":[],"grants":[{"id":7254,"fairsharing_record_id":1338,"organisation_id":275,"relation":"maintains","created_at":"2021-09-30T09:28:31.421Z","updated_at":"2021-09-30T09:28:31.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":275,"name":"Bioself Communication, Cannes, France","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7251,"fairsharing_record_id":1338,"organisation_id":685,"relation":"maintains","created_at":"2021-09-30T09:28:31.313Z","updated_at":"2021-09-30T09:28:31.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":685,"name":"Department of Biosciences and Informatics, Faculty of Science and Technology, Keio University, Yokohama, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7252,"fairsharing_record_id":1338,"organisation_id":678,"relation":"maintains","created_at":"2021-09-30T09:28:31.351Z","updated_at":"2021-09-30T09:28:31.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":678,"name":"Department of Biology, University of Padova, Padova, Italy","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7253,"fairsharing_record_id":1338,"organisation_id":2870,"relation":"maintains","created_at":"2021-09-30T09:28:31.385Z","updated_at":"2021-09-30T09:28:31.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":2870,"name":"Transcriptional control of chordate morphogenesis Lab, CRBM, Montpellier, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7255,"fairsharing_record_id":1338,"organisation_id":3001,"relation":"funds","created_at":"2021-09-30T09:28:31.463Z","updated_at":"2021-09-30T09:32:29.804Z","grant_id":1646,"is_lead":false,"saved_state":{"id":3001,"name":"University di Padova, Padova, Italy","grant":"Iniziative di Cooperazione Universitaria 2016","types":["University"],"is_lead":false,"relation":"funds"}},{"id":7256,"fairsharing_record_id":1338,"organisation_id":1614,"relation":"funds","created_at":"2021-09-30T09:28:31.502Z","updated_at":"2021-09-30T09:28:58.109Z","grant_id":35,"is_lead":false,"saved_state":{"id":1614,"name":"JSPS KAKENHI","grant":"JP16K07426","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8462,"fairsharing_record_id":1338,"organisation_id":1614,"relation":"funds","created_at":"2021-09-30T09:32:44.860Z","updated_at":"2021-09-30T09:32:44.908Z","grant_id":1760,"is_lead":false,"saved_state":{"id":1614,"name":"JSPS KAKENHI","grant":"JP16H01451","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1354","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T09:01:25.000Z","updated_at":"2022-07-26T15:14:03.684Z","metadata":{"doi":"10.25504/FAIRsharing.995b08","name":"Unidata's Network Common Data Form Data Model","status":"ready","contacts":[{"contact_name":"Unidata Support","contact_email":"support@unidata.ucar.edu"}],"homepage":"https://www.unidata.ucar.edu/software/netcdf/docs/netcdf_data_model.html","identifier":1354,"description":"Unidata’s Network Common Data Form (netCDF) is a set of software libraries and a machine-independent data format that support the creation, access, and sharing of array-oriented scientific data. This record describes the data format and not the software libraries. The netCDF Data Model is also a community standard for sharing scientific data. The data model of dimensions, variables, and attributes, which define the The Classic Model, was extended starting with netCDF-4.0. The new The Enhanced Data Model supports the classic model in a completely backward-compatible way, while allowing access to new features such as groups, multiple unlimited dimensions, and new types, including user-defined types. For maximum interoparability with existing code, new data should be created with the The Classic Model. The Classic Model was introduced with the very first netCDF release, and is still the core of all netCDF files.","abbreviation":"netCDF","support_links":[{"url":"https://www.unidata.ucar.edu/software/netcdf/docs/index.html","name":"netCDF Documentation","type":"Help documentation"}],"year_creation":1994},"legacy_ids":["bsg-001210","bsg-s001210"],"name":"FAIRsharing record for: Unidata's Network Common Data Form Data Model","abbreviation":"netCDF","url":"https://fairsharing.org/10.25504/FAIRsharing.995b08","doi":"10.25504/FAIRsharing.995b08","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Unidata’s Network Common Data Form (netCDF) is a set of software libraries and a machine-independent data format that support the creation, access, and sharing of array-oriented scientific data. This record describes the data format and not the software libraries. The netCDF Data Model is also a community standard for sharing scientific data. The data model of dimensions, variables, and attributes, which define the The Classic Model, was extended starting with netCDF-4.0. The new The Enhanced Data Model supports the classic model in a completely backward-compatible way, while allowing access to new features such as groups, multiple unlimited dimensions, and new types, including user-defined types. For maximum interoparability with existing code, new data should be created with the The Classic Model. The Classic Model was introduced with the very first netCDF release, and is still the core of all netCDF files.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Unidata Copyright Statement","licence_id":819,"licence_url":"https://www.unidata.ucar.edu/software/netcdf/docs/copyright.html","link_id":201,"relation":"undefined"}],"grants":[{"id":9698,"fairsharing_record_id":1354,"organisation_id":3608,"relation":"maintains","created_at":"2022-07-26T08:49:53.869Z","updated_at":"2022-07-26T08:49:53.869Z","grant_id":null,"is_lead":true,"saved_state":{"id":3608,"name":"Working Group on Fisheries Acoustics, Science and Technology","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7280,"fairsharing_record_id":1354,"organisation_id":2912,"relation":"maintains","created_at":"2021-09-30T09:28:32.361Z","updated_at":"2021-09-30T09:28:32.361Z","grant_id":null,"is_lead":false,"saved_state":{"id":2912,"name":"Unidata, United States","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1355","type":"fairsharing_records","attributes":{"created_at":"2018-09-24T13:34:12.000Z","updated_at":"2023-09-29T11:54:58.343Z","metadata":{"name":"ISO 19115-2:2009 Geographic information -- Metadata -- Part 2: Extensions for imagery and gridded data","status":"deprecated","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/39229.html","identifier":1355,"description":"ISO 19115-2:2009 extends the existing geographic metadata standard by defining the schema required for describing imagery and gridded data. It provides information about the properties of the measuring equipment used to acquire the data, the geometry of the measuring process employed by the equipment, and the production process used to digitize the raw data. This extension deals with metadata needed to describe the derivation of geographic information from raw data, including the properties of the measuring system, and the numerical methods and computational procedures used in the derivation. The metadata required to address coverage data in general is addressed sufficiently in the general part of ISO 19115 (ISO 19115-1:2014).","abbreviation":"ISO 19115-2:2009","support_links":[{"url":"https://www.iso.org/frequently-asked-questions-faqs.html","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2009,"deprecation_date":"2021-01-13","deprecation_reason":"This ISO standard has now been withdrawn."},"legacy_ids":["bsg-001291","bsg-s001291"],"name":"FAIRsharing record for: ISO 19115-2:2009 Geographic information -- Metadata -- Part 2: Extensions for imagery and gridded data","abbreviation":"ISO 19115-2:2009","url":"https://fairsharing.org/fairsharing_records/1355","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115-2:2009 extends the existing geographic metadata standard by defining the schema required for describing imagery and gridded data. It provides information about the properties of the measuring equipment used to acquire the data, the geometry of the measuring process employed by the equipment, and the production process used to digitize the raw data. This extension deals with metadata needed to describe the derivation of geographic information from raw data, including the properties of the measuring system, and the numerical methods and computational procedures used in the derivation. The metadata required to address coverage data in general is addressed sufficiently in the general part of ISO 19115 (ISO 19115-1:2014).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location","Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1514,"relation":"undefined"}],"grants":[{"id":7281,"fairsharing_record_id":1355,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:28:32.392Z","updated_at":"2021-09-30T09:28:32.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10923,"fairsharing_record_id":1355,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:16:11.530Z","updated_at":"2023-09-27T14:16:11.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1429","type":"fairsharing_records","attributes":{"created_at":"2015-08-04T17:06:17.000Z","updated_at":"2022-10-10T20:27:54.947Z","metadata":{"doi":"10.25504/FAIRsharing.8y5ayx","name":"Common Workflow Language","status":"ready","contacts":[{"contact_name":"Michael R. Crusoe","contact_email":"mrc@commonwl.org","contact_orcid":"0000-0002-2961-9670"}],"homepage":"http://www.commonwl.org","citations":[{"doi":"10.1145/3486897","pubmed_id":null,"publication_id":3332}],"identifier":1429,"description":"Common Workflow Language (CWL) is an open standard for describing how to run command line tools and connect them to create workflows.\n\nTools and workflows described using CWL are portable across a variety of platforms that support the CWL standards. Using CWL, it easy to scale complex data analysis and machine learning workflows from a single developer's laptop up to massively parallel cluster, cloud and high performance computing environments.","abbreviation":"CWL","support_links":[{"url":"https://cwl.discourse.group/","type":"Forum"},{"url":"https://groups.google.com/forum/#!forum/common-workflow-language","name":"CWL Mailing List","type":"Mailing list"},{"url":"https://www.commonwl.org/user_guide/","type":"Help documentation"},{"url":"https://github.com/common-workflow-language/common-workflow-language","type":"Github"}],"year_creation":2014},"legacy_ids":["bsg-000606","bsg-s000606"],"name":"FAIRsharing record for: Common Workflow Language","abbreviation":"CWL","url":"https://fairsharing.org/10.25504/FAIRsharing.8y5ayx","doi":"10.25504/FAIRsharing.8y5ayx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Common Workflow Language (CWL) is an open standard for describing how to run command line tools and connect them to create workflows.\n\nTools and workflows described using CWL are portable across a variety of platforms that support the CWL standards. Using CWL, it easy to scale complex data analysis and machine learning workflows from a single developer's laptop up to massively parallel cluster, cloud and high performance computing environments.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11030},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16903}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Hydrogeology","Humanities","Cheminformatics","Metagenomics","Genomics","Bioinformatics","Geoinformatics","Astrophysics and Astronomy","Microbial Genetics","Hydrography","Natural Science","Hydrology","Plant Genetics"],"domains":["Cancer","Next generation DNA sequencing","Workflow","Rare disease","Genetic disorder"],"taxonomies":["All","SARS-CoV-2"],"user_defined_tags":["COVID-19","earth observation","Geospatial Data","High Energy Physics","SciWorkflows"],"countries":["Australia","Belgium","Canada","France","Germany","India","Japan","Lithuania","Netherlands","Romania","Serbia","Spain","Sweden","Switzerland","Ukraine","United Kingdom","United States","European Union"],"publications":[{"id":1461,"pubmed_id":null,"title":"Common Workflow Language, v1.0","year":2016,"url":"http://doi.org/10.6084/m9.figshare.3115156.v2","authors":"Peter Amstutz, Michael R. Crusoe, Nebojša Tijanić, Brad Chapman, John Chilton, Michael Heuer, Andrey Kartashov, Dan Leehr, Hervé Ménager, Maya Nedeljkovich, Matt Scales, Stian Soiland-Reyes, Luka Stojanovic","journal":"Figshare","doi":"10.6084/m9.figshare.3115156.v2","created_at":"2021-09-30T08:25:03.269Z","updated_at":"2021-09-30T08:25:03.269Z"},{"id":2139,"pubmed_id":null,"title":"Common Workflow Language, draft 3","year":2016,"url":"http://doi.org/10.6084/M9.FIGSHARE.3115156","authors":"Peter Amstutz, Robin Andeer, Brad Chapman, John Chilton, Michael R. Crusoe, Roman Valls Guimerà, ..., Nebojša Tijanić","journal":"Figshare","doi":"10.6084/M9.FIGSHARE.3115156","created_at":"2021-09-30T08:26:21.150Z","updated_at":"2021-09-30T08:26:21.150Z"},{"id":3332,"pubmed_id":null,"title":"Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language","year":2022,"url":"https://arxiv.org/abs/2105.07028","authors":"Michael R. Crusoe, Sanne Abeln, Alexandru Iosup, Peter Amstutz, John Chilton, Nebojša Tijanić, Hervé Ménager, Stian Soiland-Reyes, Bogdan Gavrilović, Carole Goble, The CWL Community","journal":"CACM","doi":"10.1145/3486897","created_at":"2022-04-25T13:14:31.800Z","updated_at":"2022-04-25T13:14:31.800Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2085,"relation":"undefined"}],"grants":[{"id":7449,"fairsharing_record_id":1429,"organisation_id":2588,"relation":"maintains","created_at":"2021-09-30T09:28:38.040Z","updated_at":"2021-09-30T09:28:38.040Z","grant_id":null,"is_lead":true,"saved_state":{"id":2588,"name":"Software Freedom Conservancy, Inc","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYXM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3874415accee2a8edec898042ac33ab477e5f628/CWL-Logo-4k.png?disposition=inline","exhaustive_licences":false}},{"id":"1430","type":"fairsharing_records","attributes":{"created_at":"2020-08-07T19:00:15.000Z","updated_at":"2022-07-20T12:53:50.397Z","metadata":{"doi":"10.25504/FAIRsharing.eZ0fzl","name":"Adaptive Immune Receptor Repertoire: Repertoire Schema","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/datarep/metadata.html","citations":[{"doi":"10.3389/fimmu.2018.02206","pubmed_id":30323809,"publication_id":3025}],"identifier":1430,"description":"The Adaptive Immune Receptor Repertoire (AIRR) Repertoire Schema, part of the AIRR Data Model, describes an abstract organizational unit of analysis that is defined by the researcher and consists of study metadata, subject metadata, sample metadata, cell processing metadata, nucleic acid processing metadata, sequencing run metadata, a set of raw sequence files, data processing metadata, and a set of Rearrangements. A Repertoire gathers all of this information together into a composite object, which can be easily accessed by computer programs for data entry, analysis and visualization. The AIRR Repertoire Schema has been implemented in YAML/JSON, which provides a mechanism to share AIRR Repertoire metadata between research projects.","abbreviation":"AIRR Repertoire Schema","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001517","bsg-s001517"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire: Repertoire Schema","abbreviation":"AIRR Repertoire Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.eZ0fzl","doi":"10.25504/FAIRsharing.eZ0fzl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adaptive Immune Receptor Repertoire (AIRR) Repertoire Schema, part of the AIRR Data Model, describes an abstract organizational unit of analysis that is defined by the researcher and consists of study metadata, subject metadata, sample metadata, cell processing metadata, nucleic acid processing metadata, sequencing run metadata, a set of raw sequence files, data processing metadata, and a set of Rearrangements. A Repertoire gathers all of this information together into a composite object, which can be easily accessed by computer programs for data entry, analysis and visualization. The AIRR Repertoire Schema has been implemented in YAML/JSON, which provides a mechanism to share AIRR Repertoire metadata between research projects.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11822}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex","Antibody"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3025,"pubmed_id":30323809,"title":"AIRR Community Standardized Representations for Annotated Immune Repertoires.","year":2018,"url":"http://doi.org/10.3389/fimmu.2018.02206","authors":"Vander Heiden JA,Marquez S,Marthandan N,Bukhari SAC,Busse CE,Corrie B,Hershberg U,Kleinstein SH,Matsen Iv FA,Ralph DK,Rosenfeld AM,Schramm CA,Christley S,Laserson U","journal":"Front Immunol","doi":"10.3389/fimmu.2018.02206","created_at":"2021-09-30T08:28:12.866Z","updated_at":"2021-09-30T08:28:12.866Z"},{"id":3027,"pubmed_id":null,"title":"The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons","year":2020,"url":"http://doi.org/10.3389/fdata.2020.00022","authors":"Christley S, Aguiar A, Blanck G, Breden F, Bukhari S, Busse C, Jaglale J, Harikrishnan S., Laserson U, Peters B, Rocha A, Schramm C., Taylor S, Vander Heiden J, Zimonja B, Watson C., Corrie B, Cowell L","journal":"Frontiers in Big Data","doi":"10.3389/fdata.2020.00022","created_at":"2021-09-30T08:28:13.092Z","updated_at":"2021-09-30T08:28:13.092Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1951,"relation":"undefined"}],"grants":[{"id":7450,"fairsharing_record_id":1430,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.064Z","updated_at":"2021-09-30T09:28:38.064Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1431","type":"fairsharing_records","attributes":{"created_at":"2020-10-06T09:49:18.000Z","updated_at":"2022-07-20T12:04:17.042Z","metadata":{"doi":"10.25504/FAIRsharing.Nx0ddm","name":"Adaptive Immune Receptor Repertoire Data Model","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/datarep/overview.html","citations":[{"doi":"10.3389/fimmu.2018.02206","pubmed_id":30323809,"publication_id":3025}],"identifier":1431,"description":"The MiAIRR standard defines the minimal information for submission and publication of AIRR-seq datasets. The Adaptive Immune Receptor Repertoire (AIRR) Data Model defines a schema for the MiAIRR data elements, structuring them within schema objects, defining the relationship between those objects, and defining a file format. Increased interest in the immune system's involvement in pathophysiological phenomena coupled with decreased DNA sequencing costs have led to an explosion of antibody and T cell receptor sequencing data collectively termed \"adaptive immune receptor repertoire sequencing\" (AIRR-seq or Rep-Seq). The AIRR Community has been actively working to standardize protocols, metadata, formats, APIs, and other guidelines to promote open and reproducible studies of the immune repertoire.","abbreviation":"AIRR Data Model","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001532","bsg-s001532"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Data Model","abbreviation":"AIRR Data Model","url":"https://fairsharing.org/10.25504/FAIRsharing.Nx0ddm","doi":"10.25504/FAIRsharing.Nx0ddm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MiAIRR standard defines the minimal information for submission and publication of AIRR-seq datasets. The Adaptive Immune Receptor Repertoire (AIRR) Data Model defines a schema for the MiAIRR data elements, structuring them within schema objects, defining the relationship between those objects, and defining a file format. Increased interest in the immune system's involvement in pathophysiological phenomena coupled with decreased DNA sequencing costs have led to an explosion of antibody and T cell receptor sequencing data collectively termed \"adaptive immune receptor repertoire sequencing\" (AIRR-seq or Rep-Seq). The AIRR Community has been actively working to standardize protocols, metadata, formats, APIs, and other guidelines to promote open and reproducible studies of the immune repertoire.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11823}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3025,"pubmed_id":30323809,"title":"AIRR Community Standardized Representations for Annotated Immune Repertoires.","year":2018,"url":"http://doi.org/10.3389/fimmu.2018.02206","authors":"Vander Heiden JA,Marquez S,Marthandan N,Bukhari SAC,Busse CE,Corrie B,Hershberg U,Kleinstein SH,Matsen Iv FA,Ralph DK,Rosenfeld AM,Schramm CA,Christley S,Laserson U","journal":"Front Immunol","doi":"10.3389/fimmu.2018.02206","created_at":"2021-09-30T08:28:12.866Z","updated_at":"2021-09-30T08:28:12.866Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1886,"relation":"undefined"}],"grants":[{"id":7451,"fairsharing_record_id":1431,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.095Z","updated_at":"2021-09-30T09:28:38.095Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1432","type":"fairsharing_records","attributes":{"created_at":"2020-08-07T19:04:40.000Z","updated_at":"2021-11-24T13:16:58.025Z","metadata":{"doi":"10.25504/FAIRsharing.eNSzPf","name":"Adaptive Immune Receptor Repertoire Software Guidelines","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_standard.html","identifier":1432,"description":"The Adaptive Immune Receptor Repertoire (AIRR) Software Guidelines were created by the AIRR Software Working Group to promote standards for AIRR software tools and resources in order to enable rigorous and reproducible immune repertoire research at the largest scale possible. As one contribution to this goal, we have established the a number of standards for software tools. Authors whose tools comply with this standard will, subject to ratification from the AIRR Software WG, be permitted to advertise their tools as being AIRR-compliant. The guidelines include a compliance checklist, a list of compliant tools, and recommended software evaluation data sets.","abbreviation":"AIRR Software Guidelines","support_links":[{"url":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_checklist.html","name":"Compliance Checklist","type":"Help documentation"},{"url":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_compliant.html","name":"List of Compliant Tools","type":"Help documentation"},{"url":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_data.html","name":"Recommended Software Evaluation Datasets","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001518","bsg-s001518"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Software Guidelines","abbreviation":"AIRR Software Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.eNSzPf","doi":"10.25504/FAIRsharing.eNSzPf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adaptive Immune Receptor Repertoire (AIRR) Software Guidelines were created by the AIRR Software Working Group to promote standards for AIRR software tools and resources in order to enable rigorous and reproducible immune repertoire research at the largest scale possible. As one contribution to this goal, we have established the a number of standards for software tools. Authors whose tools comply with this standard will, subject to ratification from the AIRR Software WG, be permitted to advertise their tools as being AIRR-compliant. The guidelines include a compliance checklist, a list of compliant tools, and recommended software evaluation data sets.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11821}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunogenetics"],"domains":["T cell receptor complex","Antibody"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7452,"fairsharing_record_id":1432,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.124Z","updated_at":"2021-09-30T09:28:38.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1436","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-24T07:44:43.434Z","metadata":{"doi":"10.25504/FAIRsharing.sggb1n","name":"Gene Transfer Format","status":"ready","contacts":[{"contact_name":"Michael Brent","contact_email":"brent@wustl.edu"}],"homepage":"http://mblab.wustl.edu/GTF22.html","citations":[],"identifier":1436,"description":"The Gene transfer format (GTF) is a file format used to hold information about gene structure. It is a tab-delimited text format based on the general feature format (GFF), but contains some additional conventions specific to gene information. A significant feature of the GTF is that it is validatable: given a sequence and a GTF file, one can check that the format is correct. This significantly reduces problems with the interchange of data between groups.","abbreviation":"GTF"},"legacy_ids":["bsg-000238","bsg-s000238"],"name":"FAIRsharing record for: Gene Transfer Format","abbreviation":"GTF","url":"https://fairsharing.org/10.25504/FAIRsharing.sggb1n","doi":"10.25504/FAIRsharing.sggb1n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene transfer format (GTF) is a file format used to hold information about gene structure. It is a tab-delimited text format based on the general feature format (GFF), but contains some additional conventions specific to gene information. A significant feature of the GTF is that it is validatable: given a sequence and a GTF file, one can check that the format is correct. This significantly reduces problems with the interchange of data between groups.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11986}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7468,"fairsharing_record_id":1436,"organisation_id":3221,"relation":"maintains","created_at":"2021-09-30T09:28:38.756Z","updated_at":"2021-09-30T09:28:38.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":3221,"name":"Washington University in St Louis, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1437","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T13:35:08.000Z","updated_at":"2022-07-20T10:17:49.238Z","metadata":{"doi":"10.25504/FAIRsharing.YGPmfW","name":"Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Binding of Glycans to Receptors","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#nmrglycanrecognition","citations":[],"identifier":1437,"description":"These guidelines are proposed to comprehensively describe the NMR experiments and data obtained to characterize glycan recognition by various receptors. The receptor can be a glycan binding protein (such as lectins and antibodies), a glycan binding organism (such as cells) or can have a different nature including synthetic glycan binding molecules.","abbreviation":"MIRAGE NMR Guidelines - Glycan Recognition","year_creation":2020},"legacy_ids":["bsg-001542","bsg-s001542"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Binding of Glycans to Receptors","abbreviation":"MIRAGE NMR Guidelines - Glycan Recognition","url":"https://fairsharing.org/10.25504/FAIRsharing.YGPmfW","doi":"10.25504/FAIRsharing.YGPmfW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines are proposed to comprehensively describe the NMR experiments and data obtained to characterize glycan recognition by various receptors. The receptor can be a glycan binding protein (such as lectins and antibodies), a glycan binding organism (such as cells) or can have a different nature including synthetic glycan binding molecules.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12131}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Glycomics"],"domains":["Receptor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Spain","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1577,"relation":"undefined"}],"grants":[{"id":7470,"fairsharing_record_id":1437,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:38.806Z","updated_at":"2021-09-30T09:28:38.806Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7469,"fairsharing_record_id":1437,"organisation_id":2963,"relation":"maintains","created_at":"2021-09-30T09:28:38.783Z","updated_at":"2021-09-30T09:28:38.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":2963,"name":"Universidad Complutense Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7471,"fairsharing_record_id":1437,"organisation_id":2831,"relation":"maintains","created_at":"2021-09-30T09:28:38.833Z","updated_at":"2021-09-30T09:28:38.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":2831,"name":"The Scripps Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWVk9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b532be82796c6823f173dd830e98dd1d79e2010d/Logo_Beilstein_MIRAGE_RGB.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1438","type":"fairsharing_records","attributes":{"created_at":"2020-12-07T14:41:23.000Z","updated_at":"2022-07-20T12:08:17.428Z","metadata":{"doi":"10.25504/FAIRsharing.de40c7","name":"Observations Data Model 2","status":"ready","contacts":[{"contact_name":"Jeffery S. Horsburgh","contact_email":"jeff.horsburgh@usu.edu"}],"homepage":"https://www.odm2.org/","citations":[{"publication_id":3086}],"identifier":1438,"description":"Observations Data Model 2 (ODM2) is an information model for feature-based earth observations, designed to facilitate interoperability across scientific disciplines and domains. ODM2's metadata is structured around sampling, sensing, and analysis workflows. It also provides a supporting software ecosystem. Implementing the ODM2 data model as a database allows the integration of hydrological time series, soil and sediment geochemistry, biodiversity surveys, oceanographic sensor profiles, and multi-dimensional spectra.","abbreviation":"ODM2","support_links":[{"url":"https://github.com/ODM2/ODM2/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/ODM2/","name":"GitHub Project","type":"Github"},{"url":"https://github.com/ODM2/ODM2/wiki/Documentation","name":"ODM2 Documentation","type":"Github"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/ODM2/odm2-software-ecosystem","name":"ODM2 Software Ecosystem"}]},"legacy_ids":["bsg-001550","bsg-s001550"],"name":"FAIRsharing record for: Observations Data Model 2","abbreviation":"ODM2","url":"https://fairsharing.org/10.25504/FAIRsharing.de40c7","doi":"10.25504/FAIRsharing.de40c7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Observations Data Model 2 (ODM2) is an information model for feature-based earth observations, designed to facilitate interoperability across scientific disciplines and domains. ODM2's metadata is structured around sampling, sensing, and analysis workflows. It also provides a supporting software ecosystem. Implementing the ODM2 data model as a database allows the integration of hydrological time series, soil and sediment geochemistry, biodiversity surveys, oceanographic sensor profiles, and multi-dimensional spectra.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geochemistry","Hydrogeology","Geology","Biodiversity","Oceanography","Hydrology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation"],"countries":["United States"],"publications":[{"id":3086,"pubmed_id":null,"title":"Observations Data Model 2: A community information model for spatially discrete Earth observations","year":2016,"url":"http://dx.doi.org/10.1016/j.envsoft.2016.01.010","authors":"Horsburgh, J. S., Aufdenkampe, A. K., Mayorga, E., Lehnert, K. A., Hsu, L., Song, L., Spackman Jones, A., Damiano, S. G., Tarboton, D. G., Valentine, D., Zaslavsky, I., Whitenack, T.","journal":"Environmental Modelling \u0026 Software","doi":null,"created_at":"2021-09-30T08:28:20.243Z","updated_at":"2021-09-30T08:28:20.243Z"}],"licence_links":[{"licence_name":"ODM2 License","licence_id":610,"licence_url":"https://github.com/ODM2/ODM2/blob/master/LICENSE","link_id":2220,"relation":"undefined"}],"grants":[{"id":7473,"fairsharing_record_id":1438,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:28:38.890Z","updated_at":"2021-09-30T09:28:38.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7477,"fairsharing_record_id":1438,"organisation_id":3175,"relation":"maintains","created_at":"2021-09-30T09:28:39.034Z","updated_at":"2021-09-30T09:28:39.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":3175,"name":"Utah State University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7472,"fairsharing_record_id":1438,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:28:38.865Z","updated_at":"2021-09-30T09:28:38.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7474,"fairsharing_record_id":1438,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:28:38.921Z","updated_at":"2021-09-30T09:28:38.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7475,"fairsharing_record_id":1438,"organisation_id":2656,"relation":"maintains","created_at":"2021-09-30T09:28:38.963Z","updated_at":"2021-09-30T09:28:38.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":2656,"name":"Stroud Water Research Center, Avondale, PA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7478,"fairsharing_record_id":1438,"organisation_id":2225,"relation":"maintains","created_at":"2021-09-30T09:28:39.072Z","updated_at":"2021-09-30T09:28:39.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":2225,"name":"ODM2 Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7476,"fairsharing_record_id":1438,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:39.001Z","updated_at":"2021-09-30T09:30:27.319Z","grant_id":719,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR 1224638","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1439","type":"fairsharing_records","attributes":{"created_at":"2020-10-19T11:16:51.000Z","updated_at":"2021-11-24T13:16:58.102Z","metadata":{"doi":"10.25504/FAIRsharing.tzlO4X","name":"Adaptive Immune Receptor Repertoire Data Commons API Specification","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bcorrie@sfu.ca","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/api/adc_api.html","citations":[{"publication_id":3062}],"identifier":1439,"description":"The AIRR Data Commons (ADC) API provides programmatic access to query and download AIRR-seq data. The ADC API uses JSON as its communication format, and standard HTTP methods like GET and POST. The ADC API is read-only and the mechanism of inclusion of AIRR-seq studies into a data repository is left up to the repository. The ADC API Specification explains how to construct and execute API requests and interpret API responses.","abbreviation":"ADC API Specification","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001535","bsg-s001535"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Data Commons API Specification","abbreviation":"ADC API Specification","url":"https://fairsharing.org/10.25504/FAIRsharing.tzlO4X","doi":"10.25504/FAIRsharing.tzlO4X","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AIRR Data Commons (ADC) API provides programmatic access to query and download AIRR-seq data. The ADC API uses JSON as its communication format, and standard HTTP methods like GET and POST. The ADC API is read-only and the mechanism of inclusion of AIRR-seq studies into a data repository is left up to the repository. The ADC API Specification explains how to construct and execute API requests and interpret API responses.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11824}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["APIstandard"],"countries":["Worldwide"],"publications":[{"id":3062,"pubmed_id":null,"title":"The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons","year":2020,"url":"https://doi.org/10.3389/fdata.2020.00022","authors":"Christley Scott, Aguiar Ademar, Blanck George, et al.","journal":"Frontiers in Big Data","doi":null,"created_at":"2021-09-30T08:28:17.333Z","updated_at":"2021-09-30T08:28:17.333Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2103,"relation":"undefined"}],"grants":[{"id":7479,"fairsharing_record_id":1439,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:39.113Z","updated_at":"2021-09-30T09:28:39.113Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1440","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T13:40:21.000Z","updated_at":"2022-07-20T10:29:50.735Z","metadata":{"doi":"10.25504/FAIRsharing.rzLrS8","name":"Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Glycan Structures","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#nmrglycanstructures","citations":[],"identifier":1440,"description":"These guidelines are proposed to comprehensively describe NMR experiments and data obtained for the characterization of glycan composition, glycan conformation and glycan dynamics both for natural and unnatural glycans.","abbreviation":"MIRAGE NMR Guidelines - Glycan Structures","year_creation":2020},"legacy_ids":["bsg-001543","bsg-s001543"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Glycan Structures","abbreviation":"MIRAGE NMR Guidelines - Glycan Structures","url":"https://fairsharing.org/10.25504/FAIRsharing.rzLrS8","doi":"10.25504/FAIRsharing.rzLrS8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines are proposed to comprehensively describe NMR experiments and data obtained for the characterization of glycan composition, glycan conformation and glycan dynamics both for natural and unnatural glycans.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12130}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Glycomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Glycan Annotation","Glycan sequences"],"countries":["Germany","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1202,"relation":"undefined"}],"grants":[{"id":7480,"fairsharing_record_id":1440,"organisation_id":2963,"relation":"maintains","created_at":"2021-09-30T09:28:39.151Z","updated_at":"2021-09-30T09:28:39.151Z","grant_id":null,"is_lead":false,"saved_state":{"id":2963,"name":"Universidad Complutense Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7481,"fairsharing_record_id":1440,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:39.184Z","updated_at":"2021-09-30T09:28:39.184Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7482,"fairsharing_record_id":1440,"organisation_id":2831,"relation":"maintains","created_at":"2021-09-30T09:28:39.207Z","updated_at":"2021-09-30T09:28:39.207Z","grant_id":null,"is_lead":false,"saved_state":{"id":2831,"name":"The Scripps Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWWM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8ed4813a3e2013360a8d6d51d4311639fa3c5512/Logo_Beilstein_MIRAGE_RGB.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1433","type":"fairsharing_records","attributes":{"created_at":"2016-10-20T19:16:24.000Z","updated_at":"2022-07-20T09:30:02.372Z","metadata":{"doi":"10.25504/FAIRsharing.vrhbra","name":"Minimum Information Required for A Glycomics Experiment - Sample Preparation","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/mirage/guidelines#sample_preparations","citations":[],"identifier":1433,"description":"MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. The sample preparation guidelines are designed to include all aspects of sample generation, purification and modification from biological and/or synthetic material. Fundamentally, the application of MIRAGE sample preparation guidelines will lead to improved recording of experimental protocols and reporting of understandable and reproducible glycomics datasets. In addition, these guidelines are considered as a common basis for any further MIRAGE reporting guidelines in order to keep the requirements for data analysis short and consistent.","abbreviation":"MIRAGE - Sample Preparation","year_creation":2016},"legacy_ids":["bsg-000682","bsg-s000682"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Sample Preparation","abbreviation":"MIRAGE - Sample Preparation","url":"https://fairsharing.org/10.25504/FAIRsharing.vrhbra","doi":"10.25504/FAIRsharing.vrhbra","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. The sample preparation guidelines are designed to include all aspects of sample generation, purification and modification from biological and/or synthetic material. Fundamentally, the application of MIRAGE sample preparation guidelines will lead to improved recording of experimental protocols and reporting of understandable and reproducible glycomics datasets. In addition, these guidelines are considered as a common basis for any further MIRAGE reporting guidelines in order to keep the requirements for data analysis short and consistent.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12066}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Glycomics"],"domains":["Sample preparation for assay","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Germany","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":682,"pubmed_id":24653214,"title":"MIRAGE: The minimum information required for a glycomics experiment","year":2014,"url":"http://doi.org/10.1093/glycob/cwu018","authors":"York WS, Agravat S, Aoki-Kinoshita KF et al.","journal":"Glycobiology","doi":"10.1093/glycob/cwu018","created_at":"2021-09-30T08:23:35.195Z","updated_at":"2021-09-30T08:23:35.195Z"},{"id":2861,"pubmed_id":27654115,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: sample preparation guidelines for reliable reporting of glycomics datasets.","year":2016,"url":"http://doi.org/10.1093/glycob/cww082","authors":"Struwe WB,Agravat S,Aoki-Kinoshita KF,Campbell MP,Costello CE,Dell A,Ten Feizi,Haslam SM,Karlsson NG,Khoo KH,Kolarich D,Liu Y,McBride R,Novotny MV,Packer NH,Paulson JC,Rapp E,Ranzinger R,Rudd PM,Smith DF,Tiemeyer M,Wells L,York WS,Zaia J,Kettner C","journal":"Glycobiology","doi":"10.1093/glycob/cww082.","created_at":"2021-09-30T08:27:52.015Z","updated_at":"2021-09-30T08:27:52.015Z"}],"licence_links":[],"grants":[{"id":7455,"fairsharing_record_id":1433,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:38.220Z","updated_at":"2021-09-30T09:28:38.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7458,"fairsharing_record_id":1433,"organisation_id":1741,"relation":"maintains","created_at":"2021-09-30T09:28:38.335Z","updated_at":"2021-09-30T09:28:38.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1741,"name":"Macquarie University, Sydney, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7453,"fairsharing_record_id":1433,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:38.148Z","updated_at":"2021-09-30T09:28:38.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7454,"fairsharing_record_id":1433,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:38.178Z","updated_at":"2021-09-30T09:28:38.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7456,"fairsharing_record_id":1433,"organisation_id":3058,"relation":"maintains","created_at":"2021-09-30T09:28:38.262Z","updated_at":"2021-09-30T09:28:38.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7457,"fairsharing_record_id":1433,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:38.301Z","updated_at":"2021-09-30T09:28:38.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWUE9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7887199a48e9d608d3b985e48c0eb5a9fe9e7341/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1434","type":"fairsharing_records","attributes":{"created_at":"2020-11-12T09:36:05.000Z","updated_at":"2022-07-20T09:16:51.608Z","metadata":{"doi":"10.25504/FAIRsharing.a2e4bb","name":"International Federation of Digital Seismograph Networks StationXML","status":"ready","contacts":[{"contact_name":"FDSN Webmaster","contact_email":"webmaster@fdsn.org"}],"homepage":"http://www.fdsn.org/xml/station/","identifier":1434,"description":"The FDSN StationXML schema defines an XML representation of the most important and commonly-used structures of SEED 2.4 metadata with enhancements. This format is intended primarily for the archival and exchange of seismological time series data and related metadata. The goal is to allow mapping between SEED 2.4 dataless SEED volumes and this schema with as little transformation or loss of information as possible, while at the same time simplifying station metadata representation when possible. Also, content and clarification has been added where lacking in the SEED standard. When definitions and usage are under-defined the SEED manual should be referred to for clarification.","abbreviation":"FDSN StationXML","support_links":[{"url":"https://github.com/FDSN/StationXML/issues","name":"Issue Tracker","type":"Github"},{"url":"http://www.fdsn.org/xml/station/Variations-FDSNSXML-SEED.txt","name":"Differences with SEED 2.4","type":"Help documentation"},{"url":"https://github.com/FDSN/StationXML","name":"GitHub Project","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001538","bsg-s001538"],"name":"FAIRsharing record for: International Federation of Digital Seismograph Networks StationXML","abbreviation":"FDSN StationXML","url":"https://fairsharing.org/10.25504/FAIRsharing.a2e4bb","doi":"10.25504/FAIRsharing.a2e4bb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FDSN StationXML schema defines an XML representation of the most important and commonly-used structures of SEED 2.4 metadata with enhancements. This format is intended primarily for the archival and exchange of seismological time series data and related metadata. The goal is to allow mapping between SEED 2.4 dataless SEED volumes and this schema with as little transformation or loss of information as possible, while at the same time simplifying station metadata representation when possible. Also, content and clarification has been added where lacking in the SEED standard. When definitions and usage are under-defined the SEED manual should be referred to for clarification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Seismology"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7459,"fairsharing_record_id":1434,"organisation_id":1488,"relation":"maintains","created_at":"2021-09-30T09:28:38.370Z","updated_at":"2021-09-30T09:28:38.370Z","grant_id":null,"is_lead":true,"saved_state":{"id":1488,"name":"International Federation of Digital Seismograph Networks (FDSN)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1435","type":"fairsharing_records","attributes":{"created_at":"2020-12-02T10:49:41.000Z","updated_at":"2024-03-25T21:12:22.856Z","metadata":{"doi":"10.25504/FAIRsharing.15242c","name":"Minimal information for Chemosensitivity Assays","status":"deprecated","contacts":[{"contact_name":"Jing Tang","contact_email":"jing.tang@helsinki.fi"},{"contact_name":"Ziaurrehman Tanoli","contact_email":"zia.rehman@helsinki.fi","contact_orcid":null}],"homepage":"https://micha-protocol.org","citations":[],"identifier":1435,"description":"Minimal information for Chemosensitivity Assays (MICHA) is both a web tool to aid annotation of drug sensitivity screens and a guideline for defining the minimal information required to: capture critical drug sensitivity assay components, allow the FAIRification and cataloguing of drug sensitivity screen studies, and comply with the guidelines of scientific publications and preclinical drug evaluation. It is the minimal information guidelines described in this record. MICHA is composed of four main components: compounds, specimens/samples, assay protocols, and quality control and data processing methods.","abbreviation":"MICHA","support_links":[{"url":"https://micha-protocol.org/about/index","name":"About","type":"Help documentation"}],"year_creation":2020,"deprecation_date":"2024-03-25","deprecation_reason":"This resource is no longer available at the stated homepage and a new homepage cannot be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-001549","bsg-s001549"],"name":"FAIRsharing record for: Minimal information for Chemosensitivity Assays","abbreviation":"MICHA","url":"https://fairsharing.org/10.25504/FAIRsharing.15242c","doi":"10.25504/FAIRsharing.15242c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal information for Chemosensitivity Assays (MICHA) is both a web tool to aid annotation of drug sensitivity screens and a guideline for defining the minimal information required to: capture critical drug sensitivity assay components, allow the FAIRification and cataloguing of drug sensitivity screen studies, and comply with the guidelines of scientific publications and preclinical drug evaluation. It is the minimal information guidelines described in this record. MICHA is composed of four main components: compounds, specimens/samples, assay protocols, and quality control and data processing methods.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11316}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Drug Discovery","Drug Development"],"domains":["Biological sample annotation","Drug","Assay","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":3169,"pubmed_id":null,"title":"Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments","year":2021,"url":"http://dx.doi.org/10.1093/bib/bbab350","authors":"Tanoli, Ziaurrehman; Aldahdooh, Jehad; Alam, Farhan; Wang, Yinyin; Seemab, Umair; Fratelli, Maddalena; Pavlis, Petr; Hajduch, Marian; Bietrix, Florence; Gribbon, Philip; Zaliani, Andrea; Hall, Matthew D; Shen, Min; Brimacombe, Kyle; Kulesskiy, Evgeny; Saarela, Jani; Wennerberg, Krister; Vähä-Koskela, Markus; Tang, Jing; ","journal":"Briefings in Bioinformatics","doi":"10.1093/bib/bbab350","created_at":"2021-12-21T08:52:29.950Z","updated_at":"2021-12-21T08:52:29.950Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2218,"relation":"undefined"}],"grants":[{"id":7461,"fairsharing_record_id":1435,"organisation_id":2134,"relation":"maintains","created_at":"2021-09-30T09:28:38.497Z","updated_at":"2021-09-30T09:28:38.497Z","grant_id":null,"is_lead":true,"saved_state":{"id":2134,"name":"Network Pharmacology for Precision Medicine, University of Helsinki, Helsinki, Finland","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7460,"fairsharing_record_id":1435,"organisation_id":1956,"relation":"maintains","created_at":"2021-09-30T09:28:38.409Z","updated_at":"2021-09-30T09:28:38.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7464,"fairsharing_record_id":1435,"organisation_id":1766,"relation":"maintains","created_at":"2021-09-30T09:28:38.638Z","updated_at":"2021-09-30T09:28:38.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":1766,"name":"Mario Negri Institute for Pharmacological Research (MN), Italy","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7465,"fairsharing_record_id":1435,"organisation_id":935,"relation":"associated_with","created_at":"2021-09-30T09:28:38.677Z","updated_at":"2021-12-20T16:32:55.724Z","grant_id":null,"is_lead":false,"saved_state":{"id":935,"name":"European Infrastructure for Translational Medicine (EATRIS)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":7462,"fairsharing_record_id":1435,"organisation_id":1388,"relation":"maintains","created_at":"2021-09-30T09:28:38.564Z","updated_at":"2021-09-30T09:28:38.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1388,"name":"Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7466,"fairsharing_record_id":1435,"organisation_id":1049,"relation":"maintains","created_at":"2021-09-30T09:28:38.707Z","updated_at":"2021-09-30T09:28:38.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":1049,"name":"Fraunhofer Institute for Molecular Biology and Applied Ecology (Fraunhofer IME), Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7467,"fairsharing_record_id":1435,"organisation_id":279,"relation":"maintains","created_at":"2021-09-30T09:28:38.732Z","updated_at":"2021-09-30T09:28:38.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":279,"name":"Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8663,"fairsharing_record_id":1435,"organisation_id":873,"relation":"funds","created_at":"2021-12-21T08:50:41.937Z","updated_at":"2021-12-21T08:50:41.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7463,"fairsharing_record_id":1435,"organisation_id":1429,"relation":"maintains","created_at":"2021-09-30T09:28:38.601Z","updated_at":"2021-09-30T09:28:38.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1429,"name":"Institute of Molecular and Translational Medicine (IMTM), Palacky University Olomouc, Czech Republic","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1447","type":"fairsharing_records","attributes":{"created_at":"2020-11-19T16:31:05.000Z","updated_at":"2022-07-19T19:20:04.484Z","metadata":{"doi":"10.25504/FAIRsharing.a978c9","name":"Tab-separated values","status":"ready","contacts":[],"homepage":"http://www.iana.org/assignments/media-types/text/tab-separated-values","citations":[],"identifier":1447,"description":"A tab-separated values (TSV) file is a simple text format for storing data in a tabular structure, e.g., database table or spreadsheet data,[1] and a way of exchanging information between databases.[2] Each record in the table is one line of the text file. Each field value of a record is separated from the next by a tab character. The TSV format is thus a type of the more general delimiter-separated values format. TSV is a simple file format that is widely supported, so it is often used in data exchange to move tabular data between different computer programs that support the format. For example, a TSV file might be used to transfer information from a database program to a spreadsheet.","abbreviation":"TSV","support_links":[{"url":"http://jkorpela.fi/TSV.html","name":"General Information","type":"Help documentation"}],"year_creation":2000},"legacy_ids":["bsg-001547","bsg-s001547"],"name":"FAIRsharing record for: Tab-separated values","abbreviation":"TSV","url":"https://fairsharing.org/10.25504/FAIRsharing.a978c9","doi":"10.25504/FAIRsharing.a978c9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A tab-separated values (TSV) file is a simple text format for storing data in a tabular structure, e.g., database table or spreadsheet data,[1] and a way of exchanging information between databases.[2] Each record in the table is one line of the text file. Each field value of a record is separated from the next by a tab character. The TSV format is thus a type of the more general delimiter-separated values format. TSV is a simple file format that is widely supported, so it is often used in data exchange to move tabular data between different computer programs that support the format. For example, a TSV file might be used to transfer information from a database program to a spreadsheet.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":9681,"fairsharing_record_id":1447,"organisation_id":3601,"relation":"maintains","created_at":"2022-07-19T18:02:33.852Z","updated_at":"2022-07-19T18:02:33.852Z","grant_id":null,"is_lead":true,"saved_state":{"id":3601,"name":"Internet Assigned Numbers Authority (IANA)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1448","type":"fairsharing_records","attributes":{"created_at":"2020-12-15T14:16:03.000Z","updated_at":"2023-02-23T18:43:44.544Z","metadata":{"doi":"10.25504/FAIRsharing.707262","name":"UNBIS Thesaurus","status":"ready","contacts":[],"homepage":"https://metadata.un.org/thesaurus/?lang=en","citations":[],"identifier":1448,"description":"The UNBIS Thesaurus is a multilingual database of the controlled vocabulary used to describe UN documents and other materials in the Dag Hammarskjöld Library's collection. The UNBIS Thesaurus grows as new topics are introduced to the agenda of the Organization and evolves as the language in the UN documents shifts over time. Controlled vocabulary makes subject searches possible by identifying documents on the same concept, even as terminology changes. UNBIS Thesaurus terms are used in the UN Digital Library as well as other UN programmes, funds and regional commissions. These groups use the UNBIS Thesaurus for the description of bibliographic materials and web content. The UNBIS Thesaurus is available in the six official UN languages (Arabic, Chinese, English, French, Russian and Spanish).","abbreviation":"UNBIS Thesaurus","support_links":[{"url":"https://metadata.un.org/feedback?lang=en","name":"Feedback Form","type":"Contact form"},{"url":"https://metadata.un.org/thesaurus/about?lang=en","name":"About","type":"Help documentation"}],"year_creation":1995},"legacy_ids":["bsg-001566","bsg-s001566"],"name":"FAIRsharing record for: UNBIS Thesaurus","abbreviation":"UNBIS Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.707262","doi":"10.25504/FAIRsharing.707262","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UNBIS Thesaurus is a multilingual database of the controlled vocabulary used to describe UN documents and other materials in the Dag Hammarskjöld Library's collection. The UNBIS Thesaurus grows as new topics are introduced to the agenda of the Organization and evolves as the language in the UN documents shifts over time. Controlled vocabulary makes subject searches possible by identifying documents on the same concept, even as terminology changes. UNBIS Thesaurus terms are used in the UN Digital Library as well as other UN programmes, funds and regional commissions. These groups use the UNBIS Thesaurus for the description of bibliographic materials and web content. The UNBIS Thesaurus is available in the six official UN languages (Arabic, Chinese, English, French, Russian and Spanish).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Fisheries Science","Environmental Science","Forest Management","Engineering Science","Geography","Education Science","Health Science","Global Health","Natural Science","Agriculture","Subject Agnostic","Political Science"],"domains":["Bibliography","Transport"],"taxonomies":["All"],"user_defined_tags":["Employment","Humanitarian Studies","Trade"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"UNBIS Thesaurus Terms and Conditions of Use","licence_id":815,"licence_url":"https://research.un.org/en/thesaurus/downloads","link_id":1657,"relation":"undefined"},{"licence_name":"United Nations websites Terms and conditions of use","licence_id":821,"licence_url":"https://www.un.org/en/about-us/terms-of-use","link_id":1660,"relation":"undefined"}],"grants":[{"id":7494,"fairsharing_record_id":1448,"organisation_id":2923,"relation":"maintains","created_at":"2021-09-30T09:28:39.654Z","updated_at":"2021-09-30T09:28:39.654Z","grant_id":null,"is_lead":true,"saved_state":{"id":2923,"name":"United Nations Dag Hammarskjöld Library, New York, NY, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1449","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T15:35:54.000Z","updated_at":"2022-07-20T11:03:39.426Z","metadata":{"doi":"10.25504/FAIRsharing.7dad4e","name":"Newline Delimited JSON","status":"ready","homepage":"http://ndjson.org/","identifier":1449,"description":"Newline Delimited JSON (NDJSON) is a format for storing or streaming structured data that can be processed one record at a time. It works well with unix-style text processing tools and shell pipelines, and is a suitable format for log files. It's also a flexible format for passing messages between cooperating processes.","abbreviation":"NDJSON","support_links":[{"url":"https://github.com/ndjson/ndjson-spec/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2013},"legacy_ids":["bsg-001564","bsg-s001564"],"name":"FAIRsharing record for: Newline Delimited JSON","abbreviation":"NDJSON","url":"https://fairsharing.org/10.25504/FAIRsharing.7dad4e","doi":"10.25504/FAIRsharing.7dad4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Newline Delimited JSON (NDJSON) is a format for storing or streaming structured data that can be processed one record at a time. It works well with unix-style text processing tools and shell pipelines, and is a suitable format for log files. It's also a flexible format for passing messages between cooperating processes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1451","type":"fairsharing_records","attributes":{"created_at":"2019-06-07T08:07:49.000Z","updated_at":"2021-11-24T13:14:31.186Z","metadata":{"doi":"10.25504/FAIRsharing.xVAQX9","name":"ERN common data elements","status":"ready","contacts":[{"contact_name":"Annika Jacobsen","contact_email":"a.jacobsen@lumc.nl","contact_orcid":"0000-0003-4818-2360"}],"homepage":"https://github.com/ejp-rd-vp/CDE-semantic-model","identifier":1451,"description":"Semantic data model of the set of common data elements for rare disease registration. To make rare disease registry data Interoperable (the 'I' in FAIR). Version 2.0. License CC0. Here, we present a semantic data model of the set of common data elements for rare diseases registration recommended by the European commission joint research centre. There are 16 data elements: ‘Pseudonym’, ‘Date of Birth’, ‘Sex’, ‘Patient’s status’, ‘Date of death’, ‘First contact with specialised centre’, ‘Age at onset’, Age at diagnosis’, ‘Diagnosis of the rare disease’, ‘Genetic diagnosis’, ‘Undiagnosed case’, ‘Agreement to be contacted for research purposes’, ‘Consent to the reuse of data’, ’Biological sample’, ‘Link to a biobank’, ‘Classification of functioning/disability’. The semantic data model is presented in 11 modules describing the different 16 data elements. Central to each module is the 'person'. Each module has in addition different characteristics assigned to the person.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001383","bsg-s001383"],"name":"FAIRsharing record for: ERN common data elements","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xVAQX9","doi":"10.25504/FAIRsharing.xVAQX9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Semantic data model of the set of common data elements for rare disease registration. To make rare disease registry data Interoperable (the 'I' in FAIR). Version 2.0. License CC0. Here, we present a semantic data model of the set of common data elements for rare diseases registration recommended by the European commission joint research centre. There are 16 data elements: ‘Pseudonym’, ‘Date of Birth’, ‘Sex’, ‘Patient’s status’, ‘Date of death’, ‘First contact with specialised centre’, ‘Age at onset’, Age at diagnosis’, ‘Diagnosis of the rare disease’, ‘Genetic diagnosis’, ‘Undiagnosed case’, ‘Agreement to be contacted for research purposes’, ‘Consent to the reuse of data’, ’Biological sample’, ‘Link to a biobank’, ‘Classification of functioning/disability’. The semantic data model is presented in 11 modules describing the different 16 data elements. Central to each module is the 'person'. Each module has in addition different characteristics assigned to the person.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12548}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Medical Informatics"],"domains":["Biobank","Patient care","Rare disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":7495,"fairsharing_record_id":1451,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:28:39.694Z","updated_at":"2021-09-30T09:28:39.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1441","type":"fairsharing_records","attributes":{"created_at":"2021-04-02T00:07:07.000Z","updated_at":"2022-07-20T12:53:50.515Z","metadata":{"doi":"10.25504/FAIRsharing.IUZaXe","name":"ASLS - Land Surface classifiers","status":"ready","contacts":[{"contact_name":"Andrew Biggs","contact_email":"andrew.biggs@resources.qld.gov.au"}],"homepage":"https://github.com/ANZSoilData/def-au-asls-land-surface","citations":[],"identifier":1441,"description":"Machine-readable representation of the classifiers described in chapter 7 Land Surface, by R.C. McDonald, R.F. Isbell and J.G. Speight, in Australian soil and land survey field handbook (3rd edn). Land surface is concerned mainly with surface phenomena affecting land use and soil development that have traditionally been noted at the point of soil observation. The data was converted from the print representation to this linked-data form by Linda Gregory and Simon J D Cox.","abbreviation":"land-surface","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LAND-SURFACE","name":"LAND-SURFACE","portal":"BioPortal"}]},"legacy_ids":["bsg-001605","bsg-s001605"],"name":"FAIRsharing record for: ASLS - Land Surface classifiers","abbreviation":"land-surface","url":"https://fairsharing.org/10.25504/FAIRsharing.IUZaXe","doi":"10.25504/FAIRsharing.IUZaXe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Machine-readable representation of the classifiers described in chapter 7 Land Surface, by R.C. McDonald, R.F. Isbell and J.G. Speight, in Australian soil and land survey field handbook (3rd edn). Land surface is concerned mainly with surface phenomena affecting land use and soil development that have traditionally been noted at the point of soil observation. The data was converted from the print representation to this linked-data form by Linda Gregory and Simon J D Cox.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["soil carbon","Soil pH","Soil texture"],"countries":["Australia"],"publications":[{"id":2514,"pubmed_id":null,"title":"Australian Soil and Land Survey Handbook (Third Edition)","year":2009,"url":"https://www.publish.csiro.au/book/5230","authors":"National Committee on Soil and Terrain","journal":"CSIRO Publishing","doi":null,"created_at":"2021-09-30T08:27:08.484Z","updated_at":"2021-09-30T08:27:08.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":2721,"relation":"applies_to_content"}],"grants":[{"id":7483,"fairsharing_record_id":1441,"organisation_id":1980,"relation":"maintains","created_at":"2021-09-30T09:28:39.232Z","updated_at":"2021-09-30T09:28:39.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1980,"name":"National Committee on Soil and Terrain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1442","type":"fairsharing_records","attributes":{"created_at":"2021-02-26T10:05:07.000Z","updated_at":"2024-01-26T11:52:21.165Z","metadata":{"doi":"10.25504/FAIRsharing.wUoZKE","name":"Research Object Crate","status":"ready","contacts":[{"contact_name":"Stian Soiland-Reyes","contact_email":"soiland-reyes@manchester.ac.uk","contact_orcid":"0000-0001-9842-9718"}],"homepage":"https://w3id.org/ro/crate","citations":[{"doi":"10.3233/DS-210053","pubmed_id":null,"publication_id":3198}],"identifier":1442,"description":"RO-Crate is a community effort to establish a lightweight approach to packaging research data with their metadata. It is based on schema.org annotations in JSON-LD, and aims to make best-practice in formal metadata description accessible and practical for use in a wide variety of situations. An RO-Crate is a structured archive of all the items that contributed to the research outcome, including their identifiers, provenance, relations and annotations.","abbreviation":"RO-Crate","support_links":[{"url":"https://github.com/ResearchObject/ro-crate/issues/new/choose","name":"RO-Crate GitHub issues","type":"Github"},{"url":"https://w3id.org/ro/crate/1.1","name":"RO-Crate Metadata Specification 1.1","type":"Help documentation"}],"year_creation":2019,"associated_tools":[{"url":"https://arkisto-platform.github.io/describo/","name":"Describo 0.13.0"},{"url":"https://www.npmjs.com/package/ro-crate","name":"ro-crate-js 2.0.7"},{"url":"https://pypi.org/project/rocrate/","name":"ro-crate-py 0.5.3"},{"url":"https://arkisto-platform.github.io/describo-online/","name":"Describo Online"},{"url":"https://arkisto-platform.github.io/","name":"Arkisto Platform"}]},"legacy_ids":["bsg-001594","bsg-s001594"],"name":"FAIRsharing record for: Research Object Crate","abbreviation":"RO-Crate","url":"https://fairsharing.org/10.25504/FAIRsharing.wUoZKE","doi":"10.25504/FAIRsharing.wUoZKE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RO-Crate is a community effort to establish a lightweight approach to packaging research data with their metadata. It is based on schema.org annotations in JSON-LD, and aims to make best-practice in formal metadata description accessible and practical for use in a wide variety of situations. An RO-Crate is a structured archive of all the items that contributed to the research outcome, including their identifiers, provenance, relations and annotations.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13911}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Omics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","packaging"],"countries":["Australia","Belgium","Germany","Ireland","Netherlands","Poland","Spain","United Kingdom","United States"],"publications":[{"id":1192,"pubmed_id":null,"title":"A lightweight approach to research object data packaging","year":2019,"url":"http://doi.org/10.5281/zenodo.3250687","authors":"Eoghan Ó Carragáin; Carole Goble; Peter Sefton; Stian Soiland-Reyes","journal":"Bioinformatics Open Source Conference (BOSC2019)","doi":"10.5281/zenodo.3250687","created_at":"2021-09-30T08:24:32.525Z","updated_at":"2021-09-30T08:24:32.525Z"},{"id":3198,"pubmed_id":null,"title":"Packaging research artefacts with RO-Crate","year":2022,"url":"https://doi.org/10.3233/DS-210053","authors":"Stian Soiland-Reyes, Peter Sefton, Mercè Crosas, Leyla Jael Castro, Frederik Coppens, José M. Fernández, Daniel Garijo, Björn Grüning, Marco La Rosa, Simone Leo, Eoghan Ó Carragáin, Marc Portier, Ana Trisovic, RO-Crate Community, Paul Groth, Carole Goble ","journal":"Data Science","doi":"10.3233/DS-210053","created_at":"2022-01-27T11:02:24.942Z","updated_at":"2022-01-27T11:02:24.942Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2408,"relation":"undefined"}],"grants":[{"id":7484,"fairsharing_record_id":1442,"organisation_id":3135,"relation":"undefined","created_at":"2021-09-30T09:28:39.257Z","updated_at":"2021-09-30T09:28:39.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":3135,"name":"University of Technology Sydney, Australia","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":7485,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:39.282Z","updated_at":"2021-09-30T09:28:57.443Z","grant_id":30,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAEDI-2018-1 823830","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8098,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:30:56.947Z","updated_at":"2021-09-30T09:30:56.994Z","grant_id":948,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAIA-2017-1 730976","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8260,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:31:48.307Z","updated_at":"2021-09-30T09:31:48.362Z","grant_id":1334,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRADEV-2019-2 871118","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10021,"fairsharing_record_id":1442,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:39.017Z","updated_at":"2022-10-13T09:43:39.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":7487,"fairsharing_record_id":1442,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:39.364Z","updated_at":"2021-09-30T09:28:39.364Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7486,"fairsharing_record_id":1442,"organisation_id":150,"relation":"funds","created_at":"2021-09-30T09:28:39.326Z","updated_at":"2021-09-30T09:29:19.262Z","grant_id":194,"is_lead":false,"saved_state":{"id":150,"name":"Australian Research Data Commons (ARDC), Melbourne, Australia","grant":"FAIR Simple Scalable Static Research Data Repository","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7956,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:30:04.152Z","updated_at":"2021-09-30T09:30:04.204Z","grant_id":536,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAEOSC-2018-2 824087","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8181,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:31:22.173Z","updated_at":"2021-09-30T09:31:22.223Z","grant_id":1138,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAIA-2018-1 823827","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8779,"fairsharing_record_id":1442,"organisation_id":3374,"relation":"funds","created_at":"2022-02-03T10:51:23.253Z","updated_at":"2022-02-03T10:51:23.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":3374,"name":"European Commission Horizon Europe","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBDZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--50a4e92f705e6ba3ad0568e9e7b07c65a1191ea3/researchobject-rocrate.png?disposition=inline","exhaustive_licences":false}},{"id":"1443","type":"fairsharing_records","attributes":{"created_at":"2021-06-29T14:47:39.000Z","updated_at":"2023-03-15T08:08:11.434Z","metadata":{"doi":"10.25504/FAIRsharing.cb1adb","name":"Portable reduced-precision binary format for trajectories produced by GROMACS package.","status":"ready","contacts":[{"contact_name":"Adam Hospital","contact_email":"adam.hospital@irbbarcelona.org","contact_orcid":"0000-0002-8291-8071"}],"homepage":"https://manual.gromacs.org/documentation/2021/reference-manual/file-formats.html#xtc","citations":[],"identifier":1443,"description":"The XTC format is a portable binary format for trajectories produced by GROMACS package. It uses the External Data Representation (xdr) routines for writing and reading data which were created for the Unix Network File System (NFS). Trajectories are written in XTC files using a reduced precision (lossy) algorithm which works multiplying the coordinates by a scaling factor (typically 1000), so converting them to pm (GROMACS standard distance unit is nm). This allows an integer rounding of the values. Several other tricks are performed, such as making use of atom proximity information: atoms close in sequence are usually close in space (e.g. water molecules). That makes XTC format the most efficient in terms of disk usage, in most cases reducing by a factor of 2 the size of any other binary trajectory format.","abbreviation":"xtc","support_links":[{"url":"https://manual.gromacs.org/documentation/2021/reference-manual/file-formats.html#xtc","name":"GROMACS reference manual","type":"Help documentation"}],"year_creation":1995,"associated_tools":[{"url":"https://www.gromacs.org/","name":"GROMACS 2021"}]},"legacy_ids":["bsg-001620","bsg-s001620"],"name":"FAIRsharing record for: Portable reduced-precision binary format for trajectories produced by GROMACS package.","abbreviation":"xtc","url":"https://fairsharing.org/10.25504/FAIRsharing.cb1adb","doi":"10.25504/FAIRsharing.cb1adb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The XTC format is a portable binary format for trajectories produced by GROMACS package. It uses the External Data Representation (xdr) routines for writing and reading data which were created for the Unix Network File System (NFS). Trajectories are written in XTC files using a reduced precision (lossy) algorithm which works multiplying the coordinates by a scaling factor (typically 1000), so converting them to pm (GROMACS standard distance unit is nm). This allows an integer rounding of the values. Several other tricks are performed, such as making use of atom proximity information: atoms close in sequence are usually close in space (e.g. water molecules). That makes XTC format the most efficient in terms of disk usage, in most cases reducing by a factor of 2 the size of any other binary trajectory format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Sweden"],"publications":[{"id":2540,"pubmed_id":null,"title":"Methods and Techniques in Computational Chemistry: METECC-95","year":1995,"url":"https://www.semanticscholar.org/paper/Methods-and-techniques-in-computational-chemistry-%3A-Clementi-Corongiu/40385d32372c7c8af5dd4fe1ee442a47bc8ad87d","authors":"D. Green, K. Meacham, M. Surridge, F. van Hoesel and J. Berendsen","journal":"Methods and Techniques in Computational Chemistry: METECC-95","doi":null,"created_at":"2021-09-30T08:27:11.512Z","updated_at":"2021-09-30T08:27:11.512Z"}],"licence_links":[],"grants":[{"id":7488,"fairsharing_record_id":1443,"organisation_id":230,"relation":"maintains","created_at":"2021-09-30T09:28:39.405Z","updated_at":"2021-09-30T09:28:39.405Z","grant_id":null,"is_lead":true,"saved_state":{"id":230,"name":"BioExcel CoE","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7489,"fairsharing_record_id":1443,"organisation_id":913,"relation":"funds","created_at":"2021-09-30T09:28:39.443Z","updated_at":"2021-09-30T09:32:30.296Z","grant_id":1650,"is_lead":false,"saved_state":{"id":913,"name":"European Commision","grant":"675728","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1444","type":"fairsharing_records","attributes":{"created_at":"2020-11-13T14:28:10.000Z","updated_at":"2022-07-20T09:17:05.454Z","metadata":{"doi":"10.25504/FAIRsharing.683eef","name":"QuakeML","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"quakeml@sed.ethz.ch"}],"homepage":"https://quake.ethz.ch/quakeml","citations":[],"identifier":1444,"description":"QuakeML is a flexible, extensible and modular XML representation of seismological data which is intended to cover a broad range of fields of application in modern seismology. QuakeML is an open standard and is developed by a distributed team in a transparent collaborative manner. The flexible approach of QuakeML allows further extensions of the standard in order to represent waveform data, macroseismic information, probability density functions, slip distributions, shake maps, and others.","abbreviation":null,"support_links":[{"url":"https://quake.ethz.ch/quakeml/Documents","name":"About QuakeML 1.1/1.2","type":"Help documentation"},{"url":"https://quake.ethz.ch/quakeml/QuakeML2.0","name":"About QuakeML 2.0","type":"Help documentation"},{"url":"https://quake.ethz.ch/quakeml/Development","name":"QuakeML Development","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/QuakeML","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2007},"legacy_ids":["bsg-001539","bsg-s001539"],"name":"FAIRsharing record for: QuakeML","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.683eef","doi":"10.25504/FAIRsharing.683eef","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: QuakeML is a flexible, extensible and modular XML representation of seismological data which is intended to cover a broad range of fields of application in modern seismology. QuakeML is an open standard and is developed by a distributed team in a transparent collaborative manner. The flexible approach of QuakeML allows further extensions of the standard in order to represent waveform data, macroseismic information, probability density functions, slip distributions, shake maps, and others.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Earthquake","Seismology"],"countries":["Worldwide"],"publications":[{"id":3068,"pubmed_id":null,"title":"QuakeML: status of the XML-based seismological data exchange format","year":2011,"url":"http://dx.doi.org/10.4401%2Fag-4874","authors":"Danijel Schorlemmer, Fabian Euchner, Philipp Kästli, Joachim Saul","journal":"Annals of Geophysics","doi":null,"created_at":"2021-09-30T08:28:18.084Z","updated_at":"2021-09-30T08:28:18.084Z"}],"licence_links":[],"grants":[{"id":7491,"fairsharing_record_id":1444,"organisation_id":2688,"relation":"maintains","created_at":"2021-09-30T09:28:39.522Z","updated_at":"2021-09-30T09:28:39.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":2688,"name":"Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7490,"fairsharing_record_id":1444,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:28:39.480Z","updated_at":"2021-09-30T09:31:08.578Z","grant_id":1036,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"Network of Research Infrastructures for European Seismology (NERIES)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa1VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b39cda6ad53b3ef2070b52a6daad27d5b1bc7e0f/quakeml.logo.528x63.png?disposition=inline","exhaustive_licences":false}},{"id":"1455","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-02-18T11:03:46.681Z","metadata":{"doi":"10.25504/FAIRsharing.bxc508","name":"Ontology for Biobanking","status":"ready","contacts":[{"contact_name":"Jie Zheng","contact_email":"jiezheng@pennmedicine.upenn.edu","contact_orcid":null}],"homepage":"https://github.com/biobanking/biobanking/wiki","citations":[{"doi":"10.1186/s13326-016-0068-y","pubmed_id":null,"publication_id":3150}],"identifier":1455,"description":"The ontology for Biobanking (OBIB) is an ontology built for annotation and modeling of biobank repository and biobanking administration. It is developed based on subset of Ontology for Biomedical Investigations (OBI) using Basic Formal Ontology (BFO) as top ontology and following OBO Foundry principles. The first version of the ontology is merged of two existing biobank related ontologies, OMIABIS and biobank ontology.","abbreviation":"OBIB","support_links":[{"url":"MBrochhausen@uams.edu","name":"Mathias Brochhausen","type":"Support email"},{"url":"stoeckrt@upenn.edu","name":"Chris Stoeckert","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBIB","name":"OBIB","portal":"BioPortal"}]},"legacy_ids":["bsg-000823","bsg-s000823"],"name":"FAIRsharing record for: Ontology for Biobanking","abbreviation":"OBIB","url":"https://fairsharing.org/10.25504/FAIRsharing.bxc508","doi":"10.25504/FAIRsharing.bxc508","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology for Biobanking (OBIB) is an ontology built for annotation and modeling of biobank repository and biobanking administration. It is developed based on subset of Ontology for Biomedical Investigations (OBI) using Basic Formal Ontology (BFO) as top ontology and following OBO Foundry principles. The first version of the ontology is merged of two existing biobank related ontologies, OMIABIS and biobank ontology.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17645},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14548}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Biobank"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3150,"pubmed_id":null,"title":"OBIB-a novel ontology for biobanking","year":2016,"url":"http://dx.doi.org/10.1186/s13326-016-0068-y","authors":"Brochhausen, Mathias; Zheng, Jie; Birtwell, David; Williams, Heather; Masci, Anna Maria; Ellis, Helena Judge; Stoeckert, Christian J.; ","journal":"J Biomed Semant","doi":"10.1186/s13326-016-0068-y","created_at":"2021-12-06T19:35:59.205Z","updated_at":"2021-12-06T19:35:59.205Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2529,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1456","type":"fairsharing_records","attributes":{"created_at":"2020-02-10T13:07:56.000Z","updated_at":"2022-07-20T12:54:04.803Z","metadata":{"doi":"10.25504/FAIRsharing.o67X7e","name":"Metadata Object Description Schema","status":"ready","contacts":[{"contact_name":"Network Development and MARC Standards Office","contact_email":"ndmso@loc.gov"}],"homepage":"http://www.loc.gov/standards/mods/","identifier":1456,"description":"Metadata Object Description Schema (MODS) is a schema for a bibliographic element set that may be used for a variety of purposes, and particularly for library applications. As an XML schema it is intended to be able to carry selected data from existing MARC 21 records as well as to enable the creation of original resource description records. MODS is intended to complement other metadata formats. For some applications, particularly those that have used MARC records, there will be advantages over other metadata schemes. Some advantages are: the element set is richer than Dublin Core; the element set is more compatible with library data than ONIX; the schema is more end user oriented than the full MARCXML schema; the element set is simpler than the full MARC format. Please note that round-tripping between MARC 21 and MODS is not guaranteed.","abbreviation":"MODS","support_links":[{"url":"mods@listserv.loc.gov","name":"MODS Listserv","type":"Support email"},{"url":"http://www.loc.gov/standards/mods/userguide/index.html","name":"User Guidelines","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/design-principles-mods-mads.html","name":"Design Principles","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/mods-overview.html","name":"About MODS","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/mods-resources.html","name":"MODS Resources","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/registry.php","name":"MODS Implementation Registry","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/mods-conversions.html","name":"Mappings and Conversions","type":"Help documentation"}],"year_creation":2002,"associated_tools":[{"url":"http://www.loc.gov/standards/mods/tools_for_mods.php","name":"MODS Tools"}]},"legacy_ids":["bsg-001437","bsg-s001437"],"name":"FAIRsharing record for: Metadata Object Description Schema","abbreviation":"MODS","url":"https://fairsharing.org/10.25504/FAIRsharing.o67X7e","doi":"10.25504/FAIRsharing.o67X7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metadata Object Description Schema (MODS) is a schema for a bibliographic element set that may be used for a variety of purposes, and particularly for library applications. As an XML schema it is intended to be able to carry selected data from existing MARC 21 records as well as to enable the creation of original resource description records. MODS is intended to complement other metadata formats. For some applications, particularly those that have used MARC records, there will be advantages over other metadata schemes. Some advantages are: the element set is richer than Dublin Core; the element set is more compatible with library data than ONIX; the schema is more end user oriented than the full MARCXML schema; the element set is simpler than the full MARC format. Please note that round-tripping between MARC 21 and MODS is not guaranteed.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13366}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Citation","Bibliography","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":1978,"relation":"undefined"}],"grants":[{"id":7499,"fairsharing_record_id":1456,"organisation_id":1885,"relation":"maintains","created_at":"2021-09-30T09:28:39.843Z","updated_at":"2021-09-30T09:28:39.843Z","grant_id":null,"is_lead":true,"saved_state":{"id":1885,"name":"MODS Editorial Committee","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7500,"fairsharing_record_id":1456,"organisation_id":2132,"relation":"maintains","created_at":"2021-09-30T09:28:39.876Z","updated_at":"2021-09-30T09:28:39.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":2132,"name":"Network Development and MARC Standards Office","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1457","type":"fairsharing_records","attributes":{"created_at":"2020-02-03T17:56:31.000Z","updated_at":"2024-03-21T13:59:40.054Z","metadata":{"doi":"10.25504/FAIRsharing.lWbenx","name":"Reference list of Metabolite names","status":"ready","contacts":[{"contact_name":"Christine Kirkpatrick","contact_email":"christine@sdsc.edu","contact_orcid":"0000-0002-4451-8042"}],"homepage":"https://www.metabolomicsworkbench.org/databases/refmet/index.php","citations":[],"identifier":1457,"description":"RefMet provides a standardized reference nomenclature for both discrete metabolite structures and metabolite species identified by spectroscopic techniques in metabolomics experiments. This is an essential prerequisite for the ability to compare and contrast metabolite data across different experiments and studies. Over 200,000 names from a set of over 1,100 MS and NMR studies on the Metabolomics Workbench has been used to generate a highly curated analytical chemistry-centric list of common names for metabolite structures and isobaric species. Additionally, the vast majority of these names have been linked to a metabolite classification system using a combination of LIPID MAPS and ClassyFire classification methods. A name-conversion user interface is provided where users can submit a list of metabolite names and map them to the corresponding RefMet names. New metabolites are constantly being added to RefMet, however very new metabolite names generated by metabolomics experiments may not currently map to RefMet identifiers. Nevertheless, RefMet has the ability to greatly increase the data-sharing potential of metabolomics experiments and facilitate \"meta-analysis\" and systems biology objectives for the majority of commonly encountered metabolite species.","abbreviation":"RefMet","support_links":[{"url":"https://www.metabolomicsworkbench.org/databases/refmet/refmet_help.php","name":"RefMet Help","type":"Help documentation"}],"associated_tools":[{"url":"https://www.metabolomicsworkbench.org/databases/refmet/name_to_refmet_form.php","name":"Convert to RefMet Nomenclature"},{"url":"https://www.metabolomicsworkbench.org/databases/refmet/mobile_apps.php","name":"Mobile Reference of Metabolite Names for iPhone 1"}]},"legacy_ids":["bsg-001445","bsg-s001445"],"name":"FAIRsharing record for: Reference list of Metabolite names","abbreviation":"RefMet","url":"https://fairsharing.org/10.25504/FAIRsharing.lWbenx","doi":"10.25504/FAIRsharing.lWbenx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RefMet provides a standardized reference nomenclature for both discrete metabolite structures and metabolite species identified by spectroscopic techniques in metabolomics experiments. This is an essential prerequisite for the ability to compare and contrast metabolite data across different experiments and studies. Over 200,000 names from a set of over 1,100 MS and NMR studies on the Metabolomics Workbench has been used to generate a highly curated analytical chemistry-centric list of common names for metabolite structures and isobaric species. Additionally, the vast majority of these names have been linked to a metabolite classification system using a combination of LIPID MAPS and ClassyFire classification methods. A name-conversion user interface is provided where users can submit a list of metabolite names and map them to the corresponding RefMet names. New metabolites are constantly being added to RefMet, however very new metabolite names generated by metabolomics experiments may not currently map to RefMet identifiers. Nevertheless, RefMet has the ability to greatly increase the data-sharing potential of metabolomics experiments and facilitate \"meta-analysis\" and systems biology objectives for the majority of commonly encountered metabolite species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Metabolomics","Systems Biology"],"domains":["Metabolite","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Metabolomics Workbench Terms of Use","licence_id":506,"licence_url":"https://www.metabolomicsworkbench.org/about/termsofuse.php","link_id":21,"relation":"undefined"}],"grants":[{"id":7502,"fairsharing_record_id":1457,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:28:39.925Z","updated_at":"2021-09-30T09:28:39.925Z","grant_id":null,"is_lead":true,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":10044,"fairsharing_record_id":1457,"organisation_id":359,"relation":"collaborates_on","created_at":"2022-10-13T09:43:42.452Z","updated_at":"2022-10-13T09:43:42.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":11545,"fairsharing_record_id":1457,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:13.611Z","updated_at":"2024-03-21T13:58:13.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11614,"fairsharing_record_id":1457,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:40.020Z","updated_at":"2024-03-21T13:59:40.020Z","grant_id":null,"is_lead":false,"saved_state":{"id":3309,"name":"Wishart Research Group, University of Alberta, Edmonton, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1452","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:22:43.333Z","metadata":{"doi":"10.25504/FAIRsharing.th72sy","name":"IBP Wheat Plant Anatomy and Development Ontology","status":"deprecated","contacts":[{"contact_name":"Rosemary Shrestha","contact_email":"r.shrestha2@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_121:ROOT","citations":[],"identifier":1452,"description":"The IBP Wheat Plant Anatomy and Development Ontology defines growth stages of wheat and is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information. Although this ontology seems to have a stable status on its homepage, it is listed as Retired in AgroPortal. Therefore we have marked its record status as Uncertain. Please get in touch if you have information regarding the current status of this resource.","abbreviation":"CO_121","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001098","bsg-s001098"],"name":"FAIRsharing record for: IBP Wheat Plant Anatomy and Development Ontology","abbreviation":"CO_121","url":"https://fairsharing.org/10.25504/FAIRsharing.th72sy","doi":"10.25504/FAIRsharing.th72sy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IBP Wheat Plant Anatomy and Development Ontology defines growth stages of wheat and is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information. Although this ontology seems to have a stable status on its homepage, it is listed as Retired in AgroPortal. Therefore we have marked its record status as Uncertain. Please get in touch if you have information regarding the current status of this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Plant Anatomy","Plant Cell Biology"],"domains":["Food"],"taxonomies":["Triticum aestivum"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1840,"relation":"undefined"}],"grants":[{"id":7496,"fairsharing_record_id":1452,"organisation_id":1458,"relation":"maintains","created_at":"2021-09-30T09:28:39.726Z","updated_at":"2021-09-30T09:28:39.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":1458,"name":"Integrated Breeding Platform (IBP), Mexico, Mexico","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7497,"fairsharing_record_id":1452,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:39.764Z","updated_at":"2021-09-30T09:28:39.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1453","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-03-24T10:00:49.677Z","metadata":{"doi":"10.25504/FAIRsharing.bg7bb6","name":"The Oral Health and Disease Ontology","status":"ready","contacts":[{"contact_name":"Bill Duncan","contact_email":"wdduncan@gmail.com"}],"homepage":"https://github.com/oral-health-and-disease-ontologies/ohd-ontology","citations":[],"identifier":1453,"description":"The Oral Health and Disease Ontology is intended as a BFO and OBO Foundry compliant ontology for the oral health domain. It is currently used to represent the content of dental practice health records and is intended to be further developed for use in translation medicine. It demonstrates a principled split between billing codes as information entities and what the codes are about, such as dental procedures, materials, and patients. OHD is structured using BFO uses terms from OGMS, OBI, IAO and FMA. In addition it uses terms from CARO, OMRSE, NCBITaxon, and a subset of terms from the Current Dental Terminology (CDT) OHD is in early development and subject to change without notice.","abbreviation":"OHD","support_links":[{"url":"alanruttenberg@gmail.com","name":"Alan Ruttenberg","type":"Support email"},{"url":"schleyer@regenstrief.org","type":"Support email"},{"url":"https://player.vimeo.com/video/50843791?title=0\u0026byline=0\u0026portrait=0","type":"Video"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OHD","name":"OHD","portal":"BioPortal"},{"url":"https://ontobee.org/ontology/OHD","name":"Ontobee: OHD","portal":"Other"}]},"legacy_ids":["bsg-000834","bsg-s000834"],"name":"FAIRsharing record for: The Oral Health and Disease Ontology","abbreviation":"OHD","url":"https://fairsharing.org/10.25504/FAIRsharing.bg7bb6","doi":"10.25504/FAIRsharing.bg7bb6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oral Health and Disease Ontology is intended as a BFO and OBO Foundry compliant ontology for the oral health domain. It is currently used to represent the content of dental practice health records and is intended to be further developed for use in translation medicine. It demonstrates a principled split between billing codes as information entities and what the codes are about, such as dental procedures, materials, and patients. OHD is structured using BFO uses terms from OGMS, OBI, IAO and FMA. In addition it uses terms from CARO, OMRSE, NCBITaxon, and a subset of terms from the Current Dental Terminology (CDT) OHD is in early development and subject to change without notice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Dentistry","Oral Surgery"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10452,"fairsharing_record_id":1453,"organisation_id":2270,"relation":"associated_with","created_at":"2023-03-24T09:58:07.035Z","updated_at":"2023-03-24T09:58:07.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10451,"fairsharing_record_id":1453,"organisation_id":3929,"relation":"associated_with","created_at":"2023-03-24T09:58:07.034Z","updated_at":"2023-03-24T09:58:07.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":3929,"name":"University at Buffalo School of Dental Medicine","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10453,"fairsharing_record_id":1453,"organisation_id":3930,"relation":"associated_with","created_at":"2023-03-24T09:58:07.035Z","updated_at":"2023-03-24T09:58:07.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":3930,"name":"University of Pittsburg School of Dental Medicine","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10454,"fairsharing_record_id":1453,"organisation_id":2414,"relation":"undefined","created_at":"2023-03-24T09:58:07.076Z","updated_at":"2023-03-24T09:58:07.076Z","grant_id":null,"is_lead":false,"saved_state":{"id":2414,"name":"Regenstrief Institute, Inc, Indianapolis, Indiana, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1454","type":"fairsharing_records","attributes":{"created_at":"2020-09-15T11:12:34.000Z","updated_at":"2024-06-11T09:38:54.809Z","metadata":{"doi":"10.25504/FAIRsharing.Mghsr2","name":"Global Change Master Directory Keywords","status":"ready","contacts":[{"contact_name":"GCMD User Support","contact_email":"support@earthdata.nasa.gov"}],"homepage":"https://earthdata.nasa.gov/earth-observation-data/find-data/gcmd/gcmd-keywords","citations":[],"identifier":1454,"description":"Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth Science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables. Initiated over twenty years ago, GCMD Keywords are periodically analyzed for relevancy and will continue to be refined and expanded in response to user needs.","abbreviation":"GCMD Keywords","support_links":[{"url":"https://wiki.earthdata.nasa.gov/display/CMR/Keyword+FAQ","name":"GCMD FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords","name":"GCMD Forum","type":"Forum"},{"url":"https://wiki.earthdata.nasa.gov/display/gcmdkey/Keyword+Management+Service+Application+Program+Interface","name":"RESTful API Documentation","type":"Help documentation"},{"url":"https://cdn.earthdata.nasa.gov/conduit/upload/5182/KeywordsCommunityGuide_Baseline_v1_SIGNED_FINAL.pdf","name":"Governance and Community Guide","type":"Help documentation"},{"url":"https://idn.ceos.org/mapping.html","name":"Mapping GCMD to CEOS MIM","type":"Help documentation"}]},"legacy_ids":["bsg-001523","bsg-s001523"],"name":"FAIRsharing record for: Global Change Master Directory Keywords","abbreviation":"GCMD Keywords","url":"https://fairsharing.org/10.25504/FAIRsharing.Mghsr2","doi":"10.25504/FAIRsharing.Mghsr2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth Science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables. Initiated over twenty years ago, GCMD Keywords are periodically analyzed for relevancy and will continue to be refined and expanded in response to user needs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Geographical location","Device"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA's Data and Information Policy","licence_id":539,"licence_url":"https://earthdata.nasa.gov/earth-science-data-systems-program/policies/data-information-policy","link_id":607,"relation":"undefined"},{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":608,"relation":"applies_to_content"}],"grants":[{"id":7498,"fairsharing_record_id":1454,"organisation_id":809,"relation":"maintains","created_at":"2021-09-30T09:28:39.806Z","updated_at":"2021-09-30T09:28:39.806Z","grant_id":null,"is_lead":true,"saved_state":{"id":809,"name":"Earth Science Data Systems (ESDS) Program, Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1445","type":"fairsharing_records","attributes":{"created_at":"2018-09-25T13:58:43.000Z","updated_at":"2021-11-24T13:16:10.115Z","metadata":{"name":"Federal Geographic Data Committee: Content Standard for Digital Geospatial Metadata","status":"deprecated","contacts":[{"contact_email":"fgdc@fgdc.gov"}],"homepage":"https://www.fgdc.gov/metadata/csdgm-standard","identifier":1445,"description":"Content Standard for Digital Geospatial Metadata (CSDGM), Vers. 2 (FGDC-STD-001-1998) is the current version of this FGDC authored and endorsed standard. The objectives of the standard are to provide a common set of terminology and definitions for the documentation of digital geospatial data. The standard establishes the names of data elements and compound elements (groups of data elements) to be used for these purposes, the definitions of these compound elements and data elements, and information about the values that are to be provided for the data elements. This standard is intended to support the collection and processing of geospatial metadata. It is intended to be usable by all levels of government and the private sector. This record also references three CSDGM extensions: the Extensions for Remote Sensing Metadata, the Biological Data Profile, and the Metadata Profile for Shoreline Data. Executive Order 12906 directed that Federal agencies document geospatial resources using this standard. Since the publication of EO 12906, the FGDC has endorsed several ISO Geospatial Metadata Standards that are now encouraged for use.","abbreviation":"FGDC CSDGM","support_links":[{"url":"https://www.fgdc.gov/metadata/documents/MetadataQuickGuide.pdf","name":"Quick Guide","type":"Help documentation"},{"url":"https://www.fgdc.gov/metadata/documents/workbook_0501_bmk.pdf","name":"CSDGM Workbook","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/metadata/base-metadata/v2_0698.pdf","name":"Specification document (pdf)","type":"Help documentation"},{"url":"https://www.fgdc.gov/metadata/documents/CSDGMEssentialMeta_20080514.pdf","name":"Essential Metadata Documentation","type":"Help documentation"},{"url":"http://www.fgdc.gov/csdgmgraphical/index.html","name":"CSDGM Graphical Representation","type":"Help documentation"},{"url":"https://www.fgdc.gov/metadata/csdgm/index_html","name":"Specification document (html)","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/csdgm_rs_ex/MetadataRemoteSensingExtens.pdf","name":"Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata (pdf)","type":"Help documentation"},{"url":"http://www.csc.noaa.gov/metadata/sprofile.pdf","name":"Metadata Profile for Shoreline Data (pdf)","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/metadata/biometadata/biodatap.pdf","name":"Biological Data Profile of the Content Standard for Digital Geospatial Metadata (pdf)","type":"Help documentation"}],"year_creation":1998,"associated_tools":[{"url":"http://mercury.ornl.gov/OME/","name":"USGS Core Sciences Online Metadata Editor"},{"url":"https://www.sciencebase.gov/catalog/item/50ed7aa4e4b0438b00db080a","name":"USGS Metadata Wizard"}],"deprecation_date":"2018-09-25","deprecation_reason":"This resource has been deprecated by the FGDC in favor of ISO Geospatial Metadata Standards."},"legacy_ids":["bsg-001293","bsg-s001293"],"name":"FAIRsharing record for: Federal Geographic Data Committee: Content Standard for Digital Geospatial Metadata","abbreviation":"FGDC CSDGM","url":"https://fairsharing.org/fairsharing_records/1445","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Content Standard for Digital Geospatial Metadata (CSDGM), Vers. 2 (FGDC-STD-001-1998) is the current version of this FGDC authored and endorsed standard. The objectives of the standard are to provide a common set of terminology and definitions for the documentation of digital geospatial data. The standard establishes the names of data elements and compound elements (groups of data elements) to be used for these purposes, the definitions of these compound elements and data elements, and information about the values that are to be provided for the data elements. This standard is intended to support the collection and processing of geospatial metadata. It is intended to be usable by all levels of government and the private sector. This record also references three CSDGM extensions: the Extensions for Remote Sensing Metadata, the Biological Data Profile, and the Metadata Profile for Shoreline Data. Executive Order 12906 directed that Federal agencies document geospatial resources using this standard. Since the publication of EO 12906, the FGDC has endorsed several ISO Geospatial Metadata Standards that are now encouraged for use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7492,"fairsharing_record_id":1445,"organisation_id":1001,"relation":"maintains","created_at":"2021-09-30T09:28:39.581Z","updated_at":"2021-09-30T09:28:39.581Z","grant_id":null,"is_lead":true,"saved_state":{"id":1001,"name":"Federal Geographic Data Committee (FGDC), Virginia, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1446","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-08-17T06:07:49.259Z","metadata":{"doi":"10.25504/FAIRsharing.jh4xht","name":"Semantic Web for Earth and Environmental Terminology Ontology","status":"ready","contacts":[{"contact_name":"ESIP STC","contact_email":"esip-semantictech@lists.esipfed.org","contact_orcid":null}],"homepage":"http://sweetontology.net/","citations":[],"identifier":1446,"description":"The Semantic Web for Earth and Environmental Terminology is a mature foundation ontology originally developed at the NASA Jet Propulsion Laboratory. Containing over 11000 concepts organized into ~200 ontologies, its top-level concepts include Representation (math, space, science, time, data), Realm (Ocean, Land Surface, Terrestrial Hydroshere, Atmosphere, etc.), Phenomena (macro-scale ecological and physical), Processes (micro-scale physical, biological, chemical, and mathematical), and Human Activities (Decision, Commerce, Jurisdiction, Environmental, Research). Since 2017, SWEET has been under the governance of the ESIP foundation.","abbreviation":"SWEET","support_links":[{"url":"https://github.com/ESIPFed/sweet/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Recognition-of-SWEET-Contributors","name":"How to Credit your Contributions","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Graphics","name":"Ontology Graphics","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Publications","name":"Publications describing SWEET","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/SWEET-Annotation-Convention","name":"Annotation Conventions","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Community-Announcements","name":"News","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/SWEET-IRI-Patterns-for-Ontologies-and-their-Terms","name":"Curation: IRI Patterns","type":"Github"},{"url":"esip-semantictech@lists.esipfed.org","name":"ESIP STC committee","type":"Support email"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SWEET","name":"SWEET","portal":"BioPortal"}]},"legacy_ids":["bsg-001030","bsg-s001030"],"name":"FAIRsharing record for: Semantic Web for Earth and Environmental Terminology Ontology","abbreviation":"SWEET","url":"https://fairsharing.org/10.25504/FAIRsharing.jh4xht","doi":"10.25504/FAIRsharing.jh4xht","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Semantic Web for Earth and Environmental Terminology is a mature foundation ontology originally developed at the NASA Jet Propulsion Laboratory. Containing over 11000 concepts organized into ~200 ontologies, its top-level concepts include Representation (math, space, science, time, data), Realm (Ocean, Land Surface, Terrestrial Hydroshere, Atmosphere, etc.), Phenomena (macro-scale ecological and physical), Processes (micro-scale physical, biological, chemical, and mathematical), and Human Activities (Decision, Commerce, Jurisdiction, Environmental, Research). Since 2017, SWEET has been under the governance of the ESIP foundation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Geology","Geography","Earth Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2221,"relation":"undefined"}],"grants":[{"id":7493,"fairsharing_record_id":1446,"organisation_id":810,"relation":"maintains","created_at":"2021-09-30T09:28:39.620Z","updated_at":"2021-09-30T09:28:39.620Z","grant_id":null,"is_lead":true,"saved_state":{"id":810,"name":"Earth Science Information Partners (ESIP)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1458","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-07-19T13:59:19.312Z","metadata":{"doi":"10.25504/FAIRsharing.5a4y1y","name":"Obstetric and Neonatal Ontology","status":"ready","contacts":[{"contact_name":"Fernanda Farinelli","contact_email":"fernanda.farinelli@gmail.com"}],"homepage":"https://ontoneo.com/","citations":[],"identifier":1458,"description":"The Obstetric and Neonatal Ontology is a structured controlled vocabulary to provide a representation of the data from electronic health records (EHRs) involved in the care of the pregnant woman, and of her baby.","abbreviation":"ONTONEO","support_links":[{"url":"ontoneo-discuss@googlegroups.com","name":"OntONeo project discussing group","type":"Support email"},{"url":"https://www.researchgate.net/publication/304254064_OntONeo_The_Obstetric_and_Neonatal_Ontology","name":"Conference paper","type":"Other"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTONEO","name":"ONTONEO","portal":"BioPortal"}]},"legacy_ids":["bsg-000983","bsg-s000983"],"name":"FAIRsharing record for: Obstetric and Neonatal Ontology","abbreviation":"ONTONEO","url":"https://fairsharing.org/10.25504/FAIRsharing.5a4y1y","doi":"10.25504/FAIRsharing.5a4y1y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Obstetric and Neonatal Ontology is a structured controlled vocabulary to provide a representation of the data from electronic health records (EHRs) involved in the care of the pregnant woman, and of her baby.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Obstetrics"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3802,"pubmed_id":null,"title":"Ontologies for the representation of electronic medical records: The obstetric and neonatal ontology","year":2017,"url":"http://dx.doi.org/10.1002/asi.23900","authors":"Barcellos Almeida, Mauricio; Farinelli, Fernanda; ","journal":"Journal of the Association for Information Science and Technology","doi":"10.1002/asi.23900","created_at":"2023-03-17T08:49:55.633Z","updated_at":"2023-03-17T08:49:55.633Z"}],"licence_links":[],"grants":[{"id":10424,"fairsharing_record_id":1458,"organisation_id":3919,"relation":"undefined","created_at":"2023-03-17T08:52:25.829Z","updated_at":"2023-03-17T08:52:25.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":3919,"name":"Federal Institute of Minas Gerais","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1460","type":"fairsharing_records","attributes":{"created_at":"2020-07-01T12:21:15.000Z","updated_at":"2022-07-20T10:49:54.289Z","metadata":{"doi":"10.25504/FAIRsharing.217b1b","name":"MARCXML","status":"ready","contacts":[{"contact_name":"Network Development and MARC Standards Office","contact_email":"ndmso@loc.gov"}],"homepage":"https://www.loc.gov/standards/marcxml/","identifier":1460,"description":"The MARC formats are standards for the representation and communication of bibliographic and related information in machine-readable form. MARCXML is an XML encoding of the MARC 21 format.","abbreviation":"MARCXML","support_links":[{"url":"https://www.loc.gov/standards/marcxml/marcxml-design.html","name":"MARCXML Design Considerations","type":"Help documentation"},{"url":"https://www.loc.gov/standards/marcxml/marcxml-architecture.html","name":"MARCXML Architecture","type":"Help documentation"},{"url":"https://www.loc.gov/standards/marcxml/marcxml-overview.html","name":"MARCXML Uses and Features","type":"Help documentation"},{"url":"https://www.loc.gov/standards/marcxml/xml/spy/spy.html","name":"MARCXML Schema Visualisation","type":"Help documentation"}],"year_creation":2006,"associated_tools":[{"url":"https://www.loc.gov/standards/marcxml/marcxml.zip","name":"MARC21 to MARCXML Toolkit"}]},"legacy_ids":["bsg-001504","bsg-s001504"],"name":"FAIRsharing record for: MARCXML","abbreviation":"MARCXML","url":"https://fairsharing.org/10.25504/FAIRsharing.217b1b","doi":"10.25504/FAIRsharing.217b1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MARC formats are standards for the representation and communication of bibliographic and related information in machine-readable form. MARCXML is an XML encoding of the MARC 21 format.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13365}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Data Management"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":1980,"relation":"undefined"}],"grants":[{"id":7503,"fairsharing_record_id":1460,"organisation_id":2132,"relation":"maintains","created_at":"2021-09-30T09:28:39.953Z","updated_at":"2021-09-30T09:28:39.953Z","grant_id":null,"is_lead":true,"saved_state":{"id":2132,"name":"Network Development and MARC Standards Office","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1566","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:02.836Z","metadata":{"doi":"10.25504/FAIRsharing.evfe2s","name":"Database of Aligned Ribosomal Complexes","status":"deprecated","contacts":[{"contact_name":"Roland Beckmann","contact_email":"Beckmann@lmb.uni-muenchen.de"}],"homepage":"http://darcsite.genzentrum.lmu.de/darc/","identifier":1566,"description":"The Database for Aligned Ribosomal Complexes (DARC) site provides a resource for directly comparing the structures of available ribosomal complexes.","abbreviation":"DARC","data_curation":{"type":"not found"},"support_links":[{"url":"darcsite@genzentrum.lmu.de","type":"Support email"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000020","bsg-d000020"],"name":"FAIRsharing record for: Database of Aligned Ribosomal Complexes","abbreviation":"DARC","url":"https://fairsharing.org/10.25504/FAIRsharing.evfe2s","doi":"10.25504/FAIRsharing.evfe2s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database for Aligned Ribosomal Complexes (DARC) site provides a resource for directly comparing the structures of available ribosomal complexes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12574}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Ribosomal RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1452,"pubmed_id":22009674,"title":"The DARC site: a database of aligned ribosomal complexes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr824","authors":"Jarasch A,Dziuk P,Becker T,Armache JP,Hauser A,Wilson DN,Beckmann R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr824","created_at":"2021-09-30T08:25:02.290Z","updated_at":"2021-09-30T11:29:08.785Z"}],"licence_links":[],"grants":[{"id":73,"fairsharing_record_id":1566,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:17.571Z","updated_at":"2021-09-30T09:30:03.711Z","grant_id":534,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"WI3285/1-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8037,"fairsharing_record_id":1566,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:30:34.354Z","updated_at":"2021-09-30T09:30:34.405Z","grant_id":770,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"SFB594","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8456,"fairsharing_record_id":1566,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:32:43.455Z","updated_at":"2021-09-30T09:32:43.508Z","grant_id":1749,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"SFB646","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1567","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:02:38.134Z","metadata":{"doi":"10.25504/FAIRsharing.hezt3h","name":"DOMMINO: A comprehensive database of macromolecular interactions","status":"deprecated","contacts":[],"homepage":"http://www.dommino.org","citations":[],"identifier":1567,"description":"Database of MacroMolecular INteractions, a resource for macromolecular interactions.","abbreviation":null,"data_curation":{},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2022-06-29","deprecation_reason":"The resource homepage is no longer available, and a new one cannot be found. Please let us know if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000021","bsg-d000021"],"name":"FAIRsharing record for: DOMMINO: A comprehensive database of macromolecular interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.hezt3h","doi":"10.25504/FAIRsharing.hezt3h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of MacroMolecular INteractions, a resource for macromolecular interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular interaction","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1568","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:19:10.210Z","metadata":{"doi":"10.25504/FAIRsharing.dzr6rp","name":"Database of Differentially Expressed Proteins in Human Cancer","status":"deprecated","contacts":[{"contact_name":"dbDEPC Helpdesk","contact_email":"dbdepc@scbit.org"}],"homepage":"https://www.scbit.org/dbdepc3/index.php","identifier":1568,"description":"The dbDEPC is a database of differentially expressed proteins in human cancers.","abbreviation":"dbDEPC","data_curation":{"type":"not found"},"support_links":[{"url":"dbdepc@scbit.org","type":"Support email"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://lifecenter.sgst.cn/dbdepc/profile.do","name":"Draw a Cancer Profile Heatmap"},{"url":"http://lifecenter.sgst.cn/dbdepc/toNetworkPage.do","name":"DEPs Association Network of your Query Proteins"}],"deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000022","bsg-d000022"],"name":"FAIRsharing record for: Database of Differentially Expressed Proteins in Human Cancer","abbreviation":"dbDEPC","url":"https://fairsharing.org/10.25504/FAIRsharing.dzr6rp","doi":"10.25504/FAIRsharing.dzr6rp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The dbDEPC is a database of differentially expressed proteins in human cancers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Gene Ontology enrichment","Differential gene expression analysis","Differential protein expression analysis","Cancer","Molecular interaction","Genetic polymorphism","Protein"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Validation"],"countries":["China"],"publications":[{"id":764,"pubmed_id":22096234,"title":"dbDEPC 2.0: updated database of differentially expressed proteins in human cancers.","year":2011,"url":"http://doi.org/10.1093/nar/gkr936","authors":"He Y,Zhang M,Ju Y,Yu Z,Lv D,Sun H,Yuan W,He F,Zhang J,Li H,Li J,Wang-Sattler R,Li Y,Zhang G,Xie L","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr936","created_at":"2021-09-30T08:23:44.218Z","updated_at":"2021-09-30T11:28:50.475Z"},{"id":1327,"pubmed_id":19900968,"title":"dbDEPC: a database of differentially expressed proteins in human cancers.","year":2009,"url":"http://doi.org/10.1093/nar/gkp933","authors":"Li H., He Y., Ding G., Wang C., Xie L., Li Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp933","created_at":"2021-09-30T08:24:48.567Z","updated_at":"2021-09-30T08:24:48.567Z"}],"licence_links":[],"grants":[{"id":78,"fairsharing_record_id":1568,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:17.765Z","updated_at":"2021-09-30T09:32:48.546Z","grant_id":1784,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30900272","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8047,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:37.978Z","updated_at":"2021-09-30T09:30:38.034Z","grant_id":798,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2010CB912702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8206,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:31.533Z","updated_at":"2021-09-30T09:31:31.580Z","grant_id":1209,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2006CB910700","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8350,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:13.908Z","updated_at":"2021-09-30T09:32:13.965Z","grant_id":1527,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2007AA02Z304","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8481,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:50.735Z","updated_at":"2021-09-30T09:32:50.786Z","grant_id":1803,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009CB918404","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":74,"fairsharing_record_id":1568,"organisation_id":380,"relation":"maintains","created_at":"2021-09-30T09:24:17.606Z","updated_at":"2021-09-30T09:24:17.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":380,"name":"CAS Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Shanghai, China","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":79,"fairsharing_record_id":1568,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:17.808Z","updated_at":"2021-09-30T09:29:40.685Z","grant_id":355,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KSCX2-YW-R-112","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":75,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:17.648Z","updated_at":"2021-09-30T09:29:47.869Z","grant_id":408,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009AA02Z304","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":76,"fairsharing_record_id":1568,"organisation_id":512,"relation":"funds","created_at":"2021-09-30T09:24:17.686Z","updated_at":"2021-09-30T09:31:39.492Z","grant_id":1270,"is_lead":false,"saved_state":{"id":512,"name":"China National Key Projects for Infectious Disease, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China","grant":"2008ZX10002-021","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1569","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:35.707Z","metadata":{"doi":"10.25504/FAIRsharing.z1ars2","name":"Database of Bacterial Exotoxins for Human","status":"deprecated","contacts":[{"contact_name":"Saikat Chakrabarti","contact_email":"saikat@iicb.res.in"}],"homepage":"http://www.hpppi.iicb.res.in/btox/","citations":[],"identifier":1569,"description":"DBETH is the Database of Bacterial Exotoxins for Human. The aim of this database is to assemble information on the toxins responsible for causing bacterial pathogenesis in humans.","abbreviation":"DBETH","data_curation":{"url":"http://www.hpppi.iicb.res.in/btox/About_DBETH.html","type":"manual/automated"},"support_links":[{"url":"http://www.hpppi.iicb.res.in/btox/Faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.hpppi.iicb.res.in/btox/About_DBETH.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2023-09-20","deprecation_reason":"The resource homepage remains available, but the database search and browse features are broken. Please get in touch with us if you have any additional information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.hpppi.iicb.res.in/btox/About_DBETH.html","type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000023","bsg-d000023"],"name":"FAIRsharing record for: Database of Bacterial Exotoxins for Human","abbreviation":"DBETH","url":"https://fairsharing.org/10.25504/FAIRsharing.z1ars2","doi":"10.25504/FAIRsharing.z1ars2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DBETH is the Database of Bacterial Exotoxins for Human. The aim of this database is to assemble information on the toxins responsible for causing bacterial pathogenesis in humans.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16649}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Exotoxin","Structure","Amino acid sequence"],"taxonomies":["Actinobacillus","Aeromonas","Arcanobacterium","Bacillus","Bordetella","Campylobacter","Clostridium","Corynebacterium","Escherichia","Gardnerella","Helicobacter","Kingella","Legionella","Listeria","Mycobacterium","Neisseria","Paenibacillus","Pasteurella","Pseudomonas","Rickettsia","Salmonella","Shigella","Staphylococcus","Streptococcus","Vibrio","Yersinia"],"user_defined_tags":["Pathogenic bacterial exotoxin"],"countries":["India"],"publications":[{"id":42,"pubmed_id":17090593,"title":"MvirDB--a microbial database of protein toxins, virulence factors and antibiotic resistance genes for bio-defence applications.","year":2006,"url":"http://doi.org/10.1093/nar/gkl791","authors":"Zhou CE., Smith J., Lam M., Zemla A., Dyer MD., Slezak T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl791","created_at":"2021-09-30T08:22:24.963Z","updated_at":"2021-09-30T08:22:24.963Z"},{"id":44,"pubmed_id":15608208,"title":"VFDB: a reference database for bacterial virulence factors.","year":2004,"url":"http://doi.org/10.1093/nar/gki008","authors":"Chen L., Yang J., Yu J., Yao Z., Sun L., Shen Y., Jin Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki008","created_at":"2021-09-30T08:22:25.146Z","updated_at":"2021-09-30T08:22:25.146Z"}],"licence_links":[],"grants":[{"id":80,"fairsharing_record_id":1569,"organisation_id":2661,"relation":"maintains","created_at":"2021-09-30T09:24:17.835Z","updated_at":"2021-09-30T09:24:17.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":2661,"name":"Structural Biology and Bioinformatics Division Indian Institute of Chemical Biology","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1570","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:21.987Z","metadata":{"doi":"10.25504/FAIRsharing.f21e5v","name":"DataBase of Transcriptional Start Sites","status":"ready","contacts":[{"contact_name":"Yutaka Suzuki","contact_email":"ysuzuki@ims.u-tokyo.ac.jp"}],"homepage":"http://dbtss.hgc.jp","citations":[],"identifier":1570,"description":"This database includes TSS data from adult and embryonic human tissue. DBTSS now contains 491 million TSS tag sequences for collected from a total of 20 tissues and 7 cell cultures.","abbreviation":"DBTSS","data_curation":{"type":"manual"},"support_links":[{"url":"http://dbtss.hgc.jp/?doc:help_2014.html","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/DBTSS","type":"Wikipedia"},{"url":"https://dbtss.hgc.jp/news.html","type":"Blog/News"}],"year_creation":2002,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000024","bsg-d000024"],"name":"FAIRsharing record for: DataBase of Transcriptional Start Sites","abbreviation":"DBTSS","url":"https://fairsharing.org/10.25504/FAIRsharing.f21e5v","doi":"10.25504/FAIRsharing.f21e5v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database includes TSS data from adult and embryonic human tissue. DBTSS now contains 491 million TSS tag sequences for collected from a total of 20 tissues and 7 cell cultures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Transcription factor"],"taxonomies":["Cyanidioschyzon merolae","Homo sapiens","Macaca fascicularis","Mus musculus","Pan troglodytes","Plasmodium falciparum","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":49,"pubmed_id":19910371,"title":"DBTSS provides a tissue specific dynamic view of Transcription Start Sites.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1017","authors":"Yamashita R., Wakaguri H., Sugano S., Suzuki Y., Nakai K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1017","created_at":"2021-09-30T08:22:25.672Z","updated_at":"2021-09-30T08:22:25.672Z"},{"id":50,"pubmed_id":17942421,"title":"DBTSS: database of transcription start sites, progress report 2008.","year":2007,"url":"http://doi.org/10.1093/nar/gkm901","authors":"Wakaguri H., Yamashita R., Suzuki Y., Sugano S., Nakai K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm901","created_at":"2021-09-30T08:22:25.762Z","updated_at":"2021-09-30T08:22:25.762Z"},{"id":1273,"pubmed_id":25378318,"title":"DBTSS as an integrative platform for transcriptome, epigenome and genome sequence variation data.","year":2014,"url":"http://doi.org/10.1093/nar/gku1080","authors":"Suzuki A,Wakaguri H,Yamashita R,Kawano S,Tsuchihara K,Sugano S,Suzuki Y,Nakai K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1080","created_at":"2021-09-30T08:24:42.156Z","updated_at":"2021-09-30T11:29:04.868Z"},{"id":1545,"pubmed_id":24069199,"title":"Identification and characterization of cancer mutations in Japanese lung adenocarcinoma without sequencing of normal tissue counterparts.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0073484","authors":"Suzuki A,Mimaki S,Yamane Y,Kawase A,Matsushima K,Suzuki M,Goto K,Sugano S,Esumi H,Suzuki Y,Tsuchihara K","journal":"PLoS One","doi":"10.1371/journal.pone.0073484","created_at":"2021-09-30T08:25:13.019Z","updated_at":"2021-09-30T08:25:13.019Z"},{"id":1546,"pubmed_id":16381981,"title":"DBTSS: DataBase of Human Transcription Start Sites, progress report 2006.","year":2005,"url":"http://doi.org/10.1093/nar/gkj129","authors":"Yamashita R., Suzuki Y., Wakaguri H., Tsuritani K., Nakai K., Sugano S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj129","created_at":"2021-09-30T08:25:13.178Z","updated_at":"2021-09-30T08:25:13.178Z"},{"id":1547,"pubmed_id":14681363,"title":"DBTSS, DataBase of Transcriptional Start Sites: progress report 2004.","year":2003,"url":"http://doi.org/10.1093/nar/gkh076","authors":"Suzuki Y., Yamashita R., Sugano S., Nakai K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh076","created_at":"2021-09-30T08:25:13.286Z","updated_at":"2021-09-30T08:25:13.286Z"},{"id":1548,"pubmed_id":11752328,"title":"DBTSS: DataBase of human Transcriptional Start Sites and full-length cDNAs.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.328","authors":"Suzuki Y., Yamashita R., Nakai K., Sugano S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.328","created_at":"2021-09-30T08:25:13.452Z","updated_at":"2021-09-30T08:25:13.452Z"}],"licence_links":[],"grants":[{"id":82,"fairsharing_record_id":1570,"organisation_id":1953,"relation":"maintains","created_at":"2021-09-30T09:24:17.898Z","updated_at":"2021-09-30T09:24:17.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":83,"fairsharing_record_id":1570,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:24:17.937Z","updated_at":"2021-09-30T09:24:17.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":81,"fairsharing_record_id":1570,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:17.862Z","updated_at":"2021-09-30T09:31:26.401Z","grant_id":1169,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","grant":"221S0002","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1571","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-04T13:36:26.344Z","metadata":{"doi":"10.25504/FAIRsharing.c1q6jd","name":"DistiLD Database: Diseases and Traits in Linkage Disequilibrium Blocks","status":"deprecated","contacts":[{"contact_name":"Support email","contact_email":"distild@jensenlab.org"}],"homepage":"http://distild.jensenlab.org","citations":[],"identifier":1571,"description":"The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context.","abbreviation":"DistiLD","data_curation":{"type":"manual"},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2022-09-30","deprecation_reason":"The resource is no longer available at the stated homepage, and no alternative project site can be found. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000026","bsg-d000026"],"name":"FAIRsharing record for: DistiLD Database: Diseases and Traits in Linkage Disequilibrium Blocks","abbreviation":"DistiLD","url":"https://fairsharing.org/10.25504/FAIRsharing.c1q6jd","doi":"10.25504/FAIRsharing.c1q6jd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Disease","Single nucleotide polymorphism","Gene","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":1238,"pubmed_id":22058129,"title":"DistiLD Database: diseases and traits in linkage disequilibrium blocks.","year":2011,"url":"http://doi.org/10.1093/nar/gkr899","authors":"Palleja A,Horn H,Eliasson S,Jensen LJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr899","created_at":"2021-09-30T08:24:38.122Z","updated_at":"2021-09-30T11:29:03.692Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":93,"relation":"undefined"}],"grants":[{"id":84,"fairsharing_record_id":1571,"organisation_id":767,"relation":"maintains","created_at":"2021-09-30T09:24:17.969Z","updated_at":"2021-09-30T09:24:17.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":767,"name":"Disease Systems Biology Group, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":85,"fairsharing_record_id":1571,"organisation_id":2196,"relation":"funds","created_at":"2021-09-30T09:24:18.051Z","updated_at":"2021-09-30T09:24:18.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1563","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:24:20.712Z","metadata":{"doi":"10.25504/FAIRsharing.y00hz4","name":"ConoServer","status":"ready","contacts":[{"contact_name":"David Craik","contact_email":"d.craik@imb.uq.edu.au","contact_orcid":"0000-0003-0007-6796"}],"homepage":"http://www.conoserver.org","citations":[{"doi":"10.1093/bioinformatics/btm596","pubmed_id":18065428,"publication_id":2372}],"identifier":1563,"description":"ConoServer is a database specializing in sequences and structures of peptides expressed by marine cone snails. The database gives access to protein sequences, nucleic acid sequences and structural information on conopeptides. ConoServer's data are first collected from the peer reviewed literature and from publicly available databases, including UniProtKB/Swiss-Prot, NCBI nucleotide (nt), and the World Wide Protein Data Bank. The data are then curated manually, which include the addition of references, the analysis of sequence regions, the identification of cysteine frameworks and gene superfamilies, and the identification of mature peptides in the precusor sequences.","abbreviation":"ConoServer","data_curation":{"url":"http://www.conoserver.org/?page=about_conoserver","type":"manual"},"support_links":[{"url":"http://www.conoserver.org/?page=classification","name":"Classification Schemes","type":"Help documentation"},{"url":"http://www.conoserver.org/?page=help","name":"Help Pages","type":"Help documentation"},{"url":"http://www.conoserver.org/?page=stats","name":"ConoServer Statistics","type":"Help documentation"},{"url":"http://www.conoserver.org/?page=about_conoserver","name":"About ConoServer","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ConoServer","name":"ConoServer (Wikipedia)","type":"Wikipedia"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://www.conoserver.org/?page=conoprec","name":"ConoPrec: analyse conopeptide prosequences"},{"url":"http://www.conoserver.org/?page=ptmdiffmass","name":"ConoMass (step 1): differential PTM mass computation"},{"url":"http://www.conoserver.org/?page=identifymasslist","name":"ConoMass (step 2): identify peptides in mass list"},{"url":"http://www.conoserver.org/?page=comparemasses","name":"Compare mass lists"},{"url":"http://www.conoserver.org/?page=uniquemasses","name":"Remove replicate masses in mass list"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000017","bsg-d000017"],"name":"FAIRsharing record for: ConoServer","abbreviation":"ConoServer","url":"https://fairsharing.org/10.25504/FAIRsharing.y00hz4","doi":"10.25504/FAIRsharing.y00hz4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ConoServer is a database specializing in sequences and structures of peptides expressed by marine cone snails. The database gives access to protein sequences, nucleic acid sequences and structural information on conopeptides. ConoServer's data are first collected from the peer reviewed literature and from publicly available databases, including UniProtKB/Swiss-Prot, NCBI nucleotide (nt), and the World Wide Protein Data Bank. The data are then curated manually, which include the addition of references, the analysis of sequence regions, the identification of cysteine frameworks and gene superfamilies, and the identification of mature peptides in the precusor sequences.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11246},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12573}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurophysiology","Statistics","Life Science","Synthetic Biology"],"domains":["Protein structure","Nucleic acid sequence","Peptide","Patent","Classification","Protein","Amino acid sequence","Sequence variant"],"taxonomies":["Conus"],"user_defined_tags":["Conopeptide activity","Conopeptide mass","Conotoxin","Cysteine framework classification","Gene superfamily classification","Pharmacological family classification","Protein precursor organization","Statistics on classification schemes"],"countries":["Australia"],"publications":[{"id":549,"pubmed_id":20211197,"title":"Conopeptide characterization and classifications: an analysis using ConoServer.","year":2010,"url":"http://doi.org/10.1016/j.toxicon.2010.03.002","authors":"Kaas Q., Westermann JC., Craik DJ.,","journal":"Toxicon","doi":"10.1016/j.toxicon.2010.03.002","created_at":"2021-09-30T08:23:19.893Z","updated_at":"2021-09-30T08:23:19.893Z"},{"id":560,"pubmed_id":14715910,"title":"Conus venoms: a rich source of novel ion channel-targeted peptides.","year":2004,"url":"http://doi.org/10.1152/physrev.00020.2003","authors":"Terlau H., Olivera BM.,","journal":"Physiol. Rev.","doi":"10.1152/physrev.00020.2003","created_at":"2021-09-30T08:23:21.193Z","updated_at":"2021-09-30T08:23:21.193Z"},{"id":561,"pubmed_id":17649970,"title":"Chemical modification of conotoxins to improve stability and activity.","year":2007,"url":"http://doi.org/10.1021/cb700091j","authors":"Craik DJ., Adams DJ.,","journal":"ACS Chem. Biol.","doi":"10.1021/cb700091j","created_at":"2021-09-30T08:23:21.301Z","updated_at":"2021-09-30T08:23:21.301Z"},{"id":2372,"pubmed_id":18065428,"title":"ConoServer, a database for conopeptide sequences and structures.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm596","authors":"Kaas Q., Westermann JC., Halai R., Wang CK., Craik DJ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm596","created_at":"2021-09-30T08:26:51.585Z","updated_at":"2021-09-30T08:26:51.585Z"}],"licence_links":[{"licence_name":"ConoServer Permission required for commercial use","licence_id":145,"licence_url":"http://www.conoserver.org/","link_id":1807,"relation":"undefined"}],"grants":[{"id":66,"fairsharing_record_id":1563,"organisation_id":1387,"relation":"maintains","created_at":"2021-09-30T09:24:17.385Z","updated_at":"2021-09-30T09:24:17.385Z","grant_id":null,"is_lead":true,"saved_state":{"id":1387,"name":"Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1564","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:17.154Z","metadata":{"doi":"10.25504/FAIRsharing.semw9e","name":"CoryneRegNet 6.0 - Corynebacterial Regulation Network","status":"ready","contacts":[{"contact_name":"Mariana Teixeira Dornelles Parise","contact_email":"mparise@wzw.tum.de","contact_orcid":"0000-0003-4101-1016"}],"homepage":"http://www.coryneregnet.de/","citations":[],"identifier":1564,"description":"Corynebacterial Regulation Network a reference database and analysis platform for corynebacterial transcription factors and gene regulatory networks.","abbreviation":"CoryneRegNet","data_curation":{"type":"manual"},"support_links":[{"url":"https://exbio.wzw.tum.de/coryneregnet/docs\u0026help.htm","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000018","bsg-d000018"],"name":"FAIRsharing record for: CoryneRegNet 6.0 - Corynebacterial Regulation Network","abbreviation":"CoryneRegNet","url":"https://fairsharing.org/10.25504/FAIRsharing.semw9e","doi":"10.25504/FAIRsharing.semw9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Corynebacterial Regulation Network a reference database and analysis platform for corynebacterial transcription factors and gene regulatory networks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Gene Ontology enrichment","Regulation of gene expression","Transcription factor","Gene"],"taxonomies":["Aurimucosum ATCC 700975","Corynebacterium efficiens","Corynebacterium glutamicum R","Corynebacterium jeikeium K411","Corynebacterium pseudotuberculosis 1002","Corynebacterium pseudotuberculosis C231","Corynebacterium pseudotuberculosis FRC41","Diphtheriae NCTC 13129","Escherichia coli K12","Glutamicum ATCC 13032","Kroppenstedtii DSM 44385","Urealyticum DSM 7109"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":25,"pubmed_id":19498379,"title":"Integrated analysis and reconstruction of microbial transcriptional gene regulatory networks using CoryneRegNet.","year":2009,"url":"http://doi.org/10.1038/nprot.2009.81","authors":"Baumbach J., Wittkop T., Kleindt CK., Tauch A.,","journal":"Nat Protoc","doi":"10.1038/nprot.2009.81","created_at":"2021-09-30T08:22:23.085Z","updated_at":"2021-09-30T08:22:23.085Z"},{"id":26,"pubmed_id":19074493,"title":"Towards the integrated analysis, visualization and reconstruction of microbial gene regulatory networks.","year":2008,"url":"http://doi.org/10.1093/bib/bbn055","authors":"Baumbach J., Tauch A., Rahmann S.,","journal":"Brief. Bioinformatics","doi":"10.1093/bib/bbn055","created_at":"2021-09-30T08:22:23.179Z","updated_at":"2021-09-30T08:22:23.179Z"},{"id":27,"pubmed_id":17229482,"title":"CoryneRegNet 3.0--an interactive systems biology platform for the analysis of gene regulatory networks in corynebacteria and Escherichia coli.","year":2007,"url":"http://doi.org/10.1016/j.jbiotec.2006.12.012","authors":"Baumbach J., Wittkop T., Rademacher K., Rahmann S., Brinkrolf K., Tauch A.,","journal":"J. Biotechnol.","doi":"10.1016/j.jbiotec.2006.12.012","created_at":"2021-09-30T08:22:23.279Z","updated_at":"2021-09-30T08:22:23.279Z"},{"id":28,"pubmed_id":17986320,"title":"CoryneRegNet 4.0 - A reference database for corynebacterial gene regulatory networks.","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-429","authors":"Baumbach J.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-429","created_at":"2021-09-30T08:22:23.371Z","updated_at":"2021-09-30T08:22:23.371Z"},{"id":1193,"pubmed_id":22080556,"title":"CoryneRegNet 6.0--Updated database content, new analysis methods and novel features focusing on community demands.","year":2011,"url":"http://doi.org/10.1093/nar/gkr883","authors":"Pauling J,Rottger R,Tauch A,Azevedo V,Baumbach J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr883","created_at":"2021-09-30T08:24:32.622Z","updated_at":"2021-09-30T11:29:02.568Z"},{"id":3336,"pubmed_id":32393779,"title":"CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks.","year":2020,"url":"https://doi.org/10.1038/s41597-020-0484-9","authors":"Parise MTD, Parise D, Kato RB, Pauling JK, Tauch A, Azevedo VAC, Baumbach J","journal":"Scientific data","doi":"10.1038/s41597-020-0484-9","created_at":"2022-04-28T14:29:23.335Z","updated_at":"2022-04-28T14:29:23.335Z"}],"licence_links":[],"grants":[{"id":69,"fairsharing_record_id":1564,"organisation_id":1786,"relation":"maintains","created_at":"2021-09-30T09:24:17.459Z","updated_at":"2021-09-30T09:24:17.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":1786,"name":"Max Planck Institute for Informatics, Sarrebruck, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":68,"fairsharing_record_id":1564,"organisation_id":213,"relation":"maintains","created_at":"2021-09-30T09:24:17.433Z","updated_at":"2021-09-30T09:24:17.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":213,"name":"Bielefeld University, Bielefeld, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":70,"fairsharing_record_id":1564,"organisation_id":173,"relation":"maintains","created_at":"2021-09-30T09:24:17.485Z","updated_at":"2021-09-30T09:24:17.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":173,"name":"Baumbach lab, University of Southern Denmark, Denmark","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":71,"fairsharing_record_id":1564,"organisation_id":1481,"relation":"maintains","created_at":"2021-09-30T09:24:17.509Z","updated_at":"2021-09-30T09:24:17.509Z","grant_id":null,"is_lead":false,"saved_state":{"id":1481,"name":"International Computer Science Institute (ICSI), Berkeley, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1565","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:54:50.804Z","metadata":{"doi":"10.25504/FAIRsharing.f1m3bb","name":"Dragon Antimicrobial Peptide Database","status":"deprecated","contacts":[{"contact_name":"Vlad Bajic","contact_email":"vlad@sanbi.ac.za"}],"homepage":"http://apps.sanbi.ac.za/dampd/","identifier":1565,"description":"Dragon Antimicrobial Peptide Database is a manually curated database of known and putative antimicrobial peptides (AMPs). It covers both prokaryotes and eukaryotes organisms.","abbreviation":"DAMPD","data_curation":{"type":"not found"},"support_links":[{"url":"http://apps.sanbi.ac.za/dampd/Faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://apps.sanbi.ac.za/dampd/Help.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"SVM Prediction"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"SignalP"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"Hydrocalculator"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"HMMER"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"ClustalW"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"Blast"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000019","bsg-d000019"],"name":"FAIRsharing record for: Dragon Antimicrobial Peptide Database","abbreviation":"DAMPD","url":"https://fairsharing.org/10.25504/FAIRsharing.f1m3bb","doi":"10.25504/FAIRsharing.f1m3bb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dragon Antimicrobial Peptide Database is a manually curated database of known and putative antimicrobial peptides (AMPs). It covers both prokaryotes and eukaryotes organisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Antimicrobial","Curated information"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":45,"pubmed_id":14681487,"title":"ANTIMIC: a database of antimicrobial sequences.","year":2003,"url":"http://doi.org/10.1093/nar/gkh032","authors":"Brahmachary M., Krishnan SP., Koh JL., Khan AM., Seah SH., Tan TW., Brusic V., Bajic VB.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh032","created_at":"2021-09-30T08:22:25.238Z","updated_at":"2021-09-30T08:22:25.238Z"},{"id":1377,"pubmed_id":17254313,"title":"Computational promoter analysis of mouse, rat and human antimicrobial peptide-coding genes.","year":2007,"url":"http://doi.org/10.1186/1471-2105-7-S5-S8","authors":"Brahmachary M., Schönbach C., Yang L., Huang E., Tan SL., Chowdhary R., Krishnan SP., Lin CY., Hume DA., Kai C., Kawai J., Carninci P., Hayashizaki Y., Bajic VB.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-S5-S8","created_at":"2021-09-30T08:24:54.009Z","updated_at":"2021-09-30T08:24:54.009Z"}],"licence_links":[],"grants":[{"id":72,"fairsharing_record_id":1565,"organisation_id":1384,"relation":"maintains","created_at":"2021-09-30T09:24:17.538Z","updated_at":"2021-09-30T09:24:17.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1384,"name":"Institute for Infocomm Research (I2R), Singapore, Singapore","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1549","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:44:04.682Z","metadata":{"doi":"10.25504/FAIRsharing.m867wn","name":"ADHDgene","status":"deprecated","contacts":[{"contact_name":"Jing Wang","contact_email":"wangjing@psych.ac.cn"}],"homepage":"http://adhd.psych.ac.cn/","citations":[],"identifier":1549,"description":"A genetic database for attention deficit hyperactivity disorder. ADHDgene aims to provide research community with a central genetic resource and analysis platform for ADHD, to help unveil the genetic basis of ADHD and to contribute to global mental health.","abbreviation":"ADHDgene","data_curation":{"type":"manual"},"support_links":[{"url":"http://adhd.psych.ac.cn/tutorial.do","type":"Training documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2022-04-29","deprecation_reason":"This resource's homepage is no longer available, and a new homepage cannot be found. Please get in touch if you have any information regarding the current status of this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000003","bsg-d000003"],"name":"FAIRsharing record for: ADHDgene","abbreviation":"ADHDgene","url":"https://fairsharing.org/10.25504/FAIRsharing.m867wn","doi":"10.25504/FAIRsharing.m867wn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A genetic database for attention deficit hyperactivity disorder. ADHDgene aims to provide research community with a central genetic resource and analysis platform for ADHD, to help unveil the genetic basis of ADHD and to contribute to global mental health.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Biomedical Science"],"domains":["Citation","Chromosomal region","Single nucleotide polymorphism","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1500,"pubmed_id":22080511,"title":"ADHDgene: a genetic database for attention deficit hyperactivity disorder.","year":2011,"url":"http://doi.org/10.1093/nar/gkr992","authors":"Zhang L,Chang S,Li Z,Zhang K,Du Y,Ott J,Wang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr992","created_at":"2021-09-30T08:25:07.966Z","updated_at":"2021-09-30T11:29:11.276Z"}],"licence_links":[],"grants":[{"id":5,"fairsharing_record_id":1549,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:15.096Z","updated_at":"2021-09-30T09:31:24.793Z","grant_id":1158,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KSCX2-EW-J-8","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7,"fairsharing_record_id":1549,"organisation_id":245,"relation":"maintains","created_at":"2021-09-30T09:24:15.195Z","updated_at":"2021-09-30T09:24:15.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":245,"name":"Bioinformatics Laboratory, Institute of Psychology, Chinese Academy of Sciences (CAS), Beijing, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6,"fairsharing_record_id":1549,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:15.133Z","updated_at":"2021-09-30T09:29:32.578Z","grant_id":292,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81101545","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1550","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:01:47.414Z","metadata":{"doi":"10.25504/FAIRsharing.y2yct1","name":"Allele frequency resource for research and teaching","status":"deprecated","contacts":[{"contact_name":"Kenneth K. Kidd","contact_email":"kidd@biomed.med.yale.edu"}],"homepage":"https://alfred.med.yale.edu/","citations":[],"identifier":1550,"description":"ALFRED is designed to make allele frequency data on human population samples readily available for use by the scientific and educational communities.","abbreviation":"ALFRED","data_curation":{"url":"https://alfred.med.yale.edu/alfred/AboutALFRED.asp#criteria","type":"manual/automated","notes":"ALFRED is free, web-accessible and actively curated"},"support_links":[{"url":"https://alfred.med.yale.edu/alfred/feedback.asp","type":"Contact form"},{"url":"alfred@yale.edu","type":"Support email"},{"url":"https://alfred.med.yale.edu/alfred/alfredFaq.asp","type":"Frequently Asked Questions (FAQs)"},{"url":"https://alfred.med.yale.edu/alfred/ALFREDtour-overview.asp","type":"Help documentation"},{"url":"http://alfred.med.yale.edu/alfred/AboutALFRED.asp","type":"Help documentation"}],"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012700","name":"re3data:r3d100012700","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001730","name":"SciCrunch:RRID:SCR_001730","portal":"SciCrunch"}],"deprecation_date":"2024-06-13","deprecation_reason":"Homepage message: We are happy to inform our users that the ALFRED web interface will continue from the same URL after March of 2019. Since the funding that supported ongoing data curation and new data addition and expansion has ended, we will no longer be able to support those functions. Ongoing support for the web-interface and the back-end database will be provided by Biomedical Informatics and Data Science (BIDS), Yale University\nALFRED is going through a software and server upgrade. Check back here for announcements.","data_access_condition":{"url":"https://alfred.med.yale.edu/alfred/alfredFaq.asp","type":"open","notes":"ALFRED is free, web-accessible and actively curated"},"resource_sustainability":{"url":"https://alfred.med.yale.edu/alfred/index.asp","name":"More information"},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://alfred.med.yale.edu/alfred/AboutALFRED.asp#criteria","type":"controlled","notes":"Only data on well defined population samples that are large enough to yield reasonably accurate frequencies and for polymorphisms sufficiently defined to be replicable can be included in ALFRED."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000004","bsg-d000004"],"name":"FAIRsharing record for: Allele frequency resource for research and teaching","abbreviation":"ALFRED","url":"https://fairsharing.org/10.25504/FAIRsharing.y2yct1","doi":"10.25504/FAIRsharing.y2yct1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ALFRED is designed to make allele frequency data on human population samples readily available for use by the scientific and educational communities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic polymorphism","Allele","Allele frequency"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":37,"pubmed_id":10592274,"title":"ALFRED: an allele frequency database for diverse populations and DNA polymorphisms.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.361","authors":"Cheung KH., Osier MV., Kidd JR., Pakstis AJ., Miller PL., Kidd KK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.361","created_at":"2021-09-30T08:22:24.354Z","updated_at":"2021-09-30T08:22:24.354Z"},{"id":38,"pubmed_id":12519999,"title":"ALFRED: the ALelle FREquency Database. Update.","year":2003,"url":"http://doi.org/10.1093/nar/gkg043","authors":"Rajeevan H., Osier MV., Cheung KH., Deng H., Druskin L., Heinzen R., Kidd JR., Stein S., Pakstis AJ., Tosches NP., Yeh CC., Miller PL., Kidd KK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg043","created_at":"2021-09-30T08:22:24.446Z","updated_at":"2021-09-30T08:22:24.446Z"},{"id":1554,"pubmed_id":22039151,"title":"ALFRED: an allele frequency resource for research and teaching.","year":2011,"url":"http://doi.org/10.1093/nar/gkr924","authors":"Rajeevan H,Soundararajan U,Kidd JR,Pakstis AJ,Kidd KK","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr924","created_at":"2021-09-30T08:25:14.291Z","updated_at":"2021-09-30T11:29:13.601Z"}],"licence_links":[{"licence_name":"Yale Medical School Copyright","licence_id":878,"licence_url":"http://alfred.med.yale.edu/alfred/fullcopyrightpage.asp","link_id":615,"relation":"undefined"}],"grants":[{"id":12,"fairsharing_record_id":1550,"organisation_id":3266,"relation":"maintains","created_at":"2021-09-30T09:24:15.364Z","updated_at":"2021-09-30T09:24:15.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":3266,"name":"Yale School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":14,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:15.437Z","updated_at":"2021-09-30T09:29:11.035Z","grant_id":129,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"AA09379","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7941,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:29:57.991Z","updated_at":"2021-09-30T09:29:58.038Z","grant_id":490,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"GM57672","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8073,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:30:46.212Z","updated_at":"2021-09-30T09:30:46.263Z","grant_id":861,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"LM05583","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9,"fairsharing_record_id":1550,"organisation_id":3174,"relation":"funds","created_at":"2021-09-30T09:24:15.275Z","updated_at":"2021-09-30T09:30:46.798Z","grant_id":866,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"T15LM07056","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8211,"fairsharing_record_id":1550,"organisation_id":3174,"relation":"funds","created_at":"2021-09-30T09:31:34.122Z","updated_at":"2021-09-30T09:31:34.174Z","grant_id":1229,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"P01GM57672","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8281,"fairsharing_record_id":1550,"organisation_id":3174,"relation":"funds","created_at":"2021-09-30T09:31:54.023Z","updated_at":"2021-09-30T09:31:54.066Z","grant_id":1378,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"R01AA09379","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8,"fairsharing_record_id":1550,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:15.237Z","updated_at":"2021-09-30T09:24:15.237Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10,"fairsharing_record_id":1550,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:24:15.311Z","updated_at":"2021-09-30T09:24:15.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":13,"fairsharing_record_id":1550,"organisation_id":3265,"relation":"maintains","created_at":"2021-09-30T09:24:15.395Z","updated_at":"2021-09-30T09:24:15.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":3265,"name":"Yale Center for Medical Informatics (YCMI), Yale University School of Medicine, New Haven, CT, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11,"fairsharing_record_id":1550,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:15.340Z","updated_at":"2021-09-30T09:31:53.580Z","grant_id":1374,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BCS0096588","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8349,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:13.767Z","updated_at":"2021-09-30T09:32:13.823Z","grant_id":1526,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"T15 LM07056","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8424,"fairsharing_record_id":1550,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:34.518Z","updated_at":"2021-09-30T09:32:34.564Z","grant_id":1681,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"SBR9632509","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8454,"fairsharing_record_id":1550,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:42.969Z","updated_at":"2021-09-30T09:32:43.024Z","grant_id":1746,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BCS0938633","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1551","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-04T09:22:03.147Z","metadata":{"doi":"10.25504/FAIRsharing.e65js","name":"Animal Transcription Factor Database","status":"ready","contacts":[{"contact_name":"An-Yuan Guo","contact_email":"guoay@hust.edu.cn","contact_orcid":"0000-0002-5099-7465"}],"homepage":"https://guolab.wchscu.cn/AnimalTFDB4//#/","citations":[],"identifier":1551,"description":"AnimalTFDB is a comprehensive animal transcription factor database. The resource is classification of transcription factors from 50 genomes from species including Homo sapiens and Caenorhabditis elegans. The database also has information on co-transcription factors and chromatin remodelling factors.","abbreviation":"AnimalTFDB","data_curation":{"url":"https://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"manual","notes":"Curation guide"},"support_links":[{"url":"https://guolab.wchscu.cn/AnimalTFDB4_Document/","name":"Document","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000005","bsg-d000005"],"name":"FAIRsharing record for: Animal Transcription Factor Database","abbreviation":"AnimalTFDB","url":"https://fairsharing.org/10.25504/FAIRsharing.e65js","doi":"10.25504/FAIRsharing.e65js","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AnimalTFDB is a comprehensive animal transcription factor database. The resource is classification of transcription factors from 50 genomes from species including Homo sapiens and Caenorhabditis elegans. The database also has information on co-transcription factors and chromatin remodelling factors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Gene Ontology enrichment","Annotation","Protein interaction","Molecular interaction","Binding motif","Gene feature","Transcription factor","Micro RNA","Gene","Orthologous","Paralogous"],"taxonomies":["Anas platyrhynchos","Anolis carolinensis","Astyanax mexicanus","Caenorhabditis elegans","Choloepus hoffmanni","Ciona intestinalis","Ciona savignyi","Danio rerio","Dasypus novemcinctus","Drosophila melanogaster","Echinops telfairi","Ficedula albicollis","Gadus morhua","Gallus gallus","Gasterosteus aculeatus","Latimeria chalumnae","Laurasiatheria","Lepisosteus oculatus","Loxodonta africana","Meleagris gallopavo","Monodelphis domestica","Notamacropus eugenii","Oreochromis niloticus","Ornithorhynchus anatinus","Oryzias latipes","Pelodiscus sinensis","Petromyzon marinus","Poecilia formosa","Primate","Procavia capensis","Rodentia","Sarcophilus harrisii","Taeniopygia guttata","Takifugu rubripes","Tetraodon nigroviridis","Xenopus tropicalis","Xiphophorus maculatus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":57,"pubmed_id":25262351,"title":"AnimalTFDB 2.0: a resource for expression, prediction and functional study of animal transcription factors.","year":2014,"url":"http://doi.org/10.1093/nar/gku887","authors":"Zhang HM,Liu T,Liu CJ,Song S,Zhang X,Liu W,Jia H,Xue Y,Guo AY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku887","created_at":"2021-09-30T08:22:26.495Z","updated_at":"2021-09-30T11:28:41.850Z"},{"id":58,"pubmed_id":22080564,"title":"AnimalTFDB: a comprehensive animal transcription factor database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr965","authors":"Zhang HM,Chen H,Liu W,Liu H,Gong J,Wang H,Guo AY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr965","created_at":"2021-09-30T08:22:26.586Z","updated_at":"2021-09-30T11:28:41.941Z"},{"id":100,"pubmed_id":30204897,"title":"AnimalTFDB 3.0: a comprehensive resource for annotation and prediction of animal transcription factors.","year":2018,"url":"http://doi.org/10.1093/nar/gky822","authors":"Hu H,Miao YR,Jia LH,Yu QY,Zhang Q,Guo AY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky822","created_at":"2021-09-30T08:22:31.211Z","updated_at":"2021-09-30T11:28:42.533Z"},{"id":4280,"pubmed_id":36268869,"title":"AnimalTFDB 4.0: a comprehensive animal transcription factor database updated with variation and expression annotations","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac907","authors":"Shen, Wen-Kang; Chen, Si-Yi; Gan, Zi-Quan; Zhang, Yu-Zhu; Yue, Tao; Chen, Miao-Miao; Xue, Yu; Hu, Hui; Guo, An-Yuan; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac907","created_at":"2024-05-22T13:05:31.421Z","updated_at":"2024-05-22T13:05:31.421Z"}],"licence_links":[{"licence_name":"AnimalTFDB Terms Of Use","licence_id":929,"licence_url":"http://bioinfo.life.hust.edu.cn/AnimalTFDB/#!/TermsOfUse","link_id":2663,"relation":"applies_to_content"}],"grants":[{"id":17,"fairsharing_record_id":1551,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:15.554Z","updated_at":"2021-09-30T09:24:15.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":15,"fairsharing_record_id":1551,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:15.479Z","updated_at":"2021-09-30T09:31:50.486Z","grant_id":1351,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFA0700403","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8487,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:51.927Z","updated_at":"2021-09-30T09:32:51.979Z","grant_id":1811,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31171271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":18,"fairsharing_record_id":1551,"organisation_id":1272,"relation":"maintains","created_at":"2021-09-30T09:24:15.592Z","updated_at":"2021-09-30T09:24:15.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1272,"name":"Huazhong University of Science and Technology, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":16,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:15.517Z","updated_at":"2021-09-30T09:29:04.343Z","grant_id":80,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31822030","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7900,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:29:34.950Z","updated_at":"2021-09-30T09:29:35.001Z","grant_id":311,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31801154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8059,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:41.780Z","updated_at":"2021-09-30T09:30:41.837Z","grant_id":826,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31801113","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8339,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:09.950Z","updated_at":"2021-09-30T09:32:10.004Z","grant_id":1497,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31771458","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1552","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:45:32.101Z","metadata":{"doi":"10.25504/FAIRsharing.s8vrb1","name":"Apo and Holo structures DataBase","status":"deprecated","contacts":[{"contact_name":"Darby Tien-Hao Chang","contact_email":"darby@mail.ncku.edu.tw"}],"homepage":"http://ahdb.ee.ncku.edu.tw/","identifier":1552,"description":"AH-DB (Apo and Holo structures DataBase) collects the apo and holo structure pairs of proteins. Proteins are frequently associated with other molecules to perform their functions. Experimental structures determined in the bound state are named holo structures; while structures determined in the unbound state are named apo structures.","abbreviation":"AH-DB","data_curation":{"type":"not found"},"support_links":[{"url":"http://ahdb.ee.ncku.edu.tw/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000006","bsg-d000006"],"name":"FAIRsharing record for: Apo and Holo structures DataBase","abbreviation":"AH-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.s8vrb1","doi":"10.25504/FAIRsharing.s8vrb1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AH-DB (Apo and Holo structures DataBase) collects the apo and holo structure pairs of proteins. Proteins are frequently associated with other molecules to perform their functions. Experimental structures determined in the bound state are named holo structures; while structures determined in the unbound state are named apo structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Structure alignment (pair)","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":805,"pubmed_id":22084200,"title":"AH-DB: collecting protein structure pairs before and after binding.","year":2011,"url":"http://doi.org/10.1093/nar/gkr940","authors":"Chang DT,Yao TJ,Fan CY,Chiang CY,Bai YH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr940","created_at":"2021-09-30T08:23:48.786Z","updated_at":"2021-09-30T11:28:51.683Z"}],"licence_links":[],"grants":[{"id":20,"fairsharing_record_id":1552,"organisation_id":1873,"relation":"funds","created_at":"2021-09-30T09:24:15.667Z","updated_at":"2021-09-30T09:30:50.499Z","grant_id":896,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 99-2628-E-006-017","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1572","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:26.823Z","metadata":{"doi":"10.25504/FAIRsharing.k337f0","name":"DNA Data Bank of Japan","status":"ready","contacts":[{"contact_name":"Osamu Ogasawara","contact_email":"oogasawa@nig.ac.jp"}],"homepage":"https://www.ddbj.nig.ac.jp/ddbj","citations":[],"identifier":1572,"description":"An annotated collection of all publicly available nucleotide and protein sequences. DDBJ collects sequence data mainly from Japanese researchers, as well as researchers in other countries. DDBJ is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","abbreviation":"DDBJ","data_curation":{"url":"https://www.ddbj.nig.ac.jp/ddbj/submission-e.html#annotation","type":"manual/automated"},"support_links":[{"url":"https://www.facebook.com/ddbjcenter/","name":"DDBJ Facebook","type":"Facebook"},{"url":"https://www.ddbj.nig.ac.jp/news/en/index-e.html?db=ddbj","name":"News","type":"Blog/News"},{"url":"https://www.ddbj.nig.ac.jp/contact-e.html","name":"DDBJ Contact Form","type":"Contact form"},{"url":"ddbj@ddbj.nig.ac.jp","name":"DDBJ General Contact","type":"Support email"},{"url":"https://www.ddbj.nig.ac.jp/faq/en/index-e.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/ddbj/","name":"DDBJ GitHub","type":"Github"},{"url":"https://drive.google.com/drive/u/0/folders/1E0cxLbWV8RGYUdNs0oKfXMij0TzJDQVD","name":"DDBJ Google Drive","type":"Help documentation"},{"url":"https://www.youtube.com/user/ddbjvideo","name":"DDBJ YouTube Channel","type":"Video"},{"url":"https://www.ddbj.nig.ac.jp/announcements-e.html","name":"DDBJ RSS Feed","type":"Blog/News"},{"url":"https://twitter.com/DDBJ_topics","name":"@DDBJ_topics","type":"Twitter"}],"year_creation":1987,"data_versioning":"yes","associated_tools":[{"url":"http://ddbj.nig.ac.jp/vecscreen/","name":"VecScreen"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010218","name":"re3data:r3d100010218","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002359","name":"SciCrunch:RRID:SCR_002359","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ddbj.nig.ac.jp/ddbj/submission-e.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000027","bsg-d000027"],"name":"FAIRsharing record for: DNA Data Bank of Japan","abbreviation":"DDBJ","url":"https://fairsharing.org/10.25504/FAIRsharing.k337f0","doi":"10.25504/FAIRsharing.k337f0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An annotated collection of all publicly available nucleotide and protein sequences. DDBJ collects sequence data mainly from Japanese researchers, as well as researchers in other countries. DDBJ is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17568},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10928},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12575},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16207}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Metagenomics","Genomics","Bioinformatics","Data Management","Transcriptomics"],"domains":["DNA sequence data","Annotation","Sequence annotation","Deoxyribonucleic acid","Nucleotide","Sequencing","Amino acid sequence","Genome","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":655,"pubmed_id":30357349,"title":"DDBJ update: the Genomic Expression Archive (GEA) for functional genomics data.","year":2018,"url":"http://doi.org/10.1093/nar/gky1002","authors":"Kodama Y,Mashima J,Kosuge T,Ogasawara O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1002","created_at":"2021-09-30T08:23:32.284Z","updated_at":"2021-09-30T11:28:48.717Z"},{"id":2097,"pubmed_id":29040613,"title":"DNA Data Bank of Japan: 30th anniversary.","year":2017,"url":"http://doi.org/10.1093/nar/gkx926","authors":"Kodama Y,Mashima J,Kosuge T,Kaminuma E,Ogasawara O,Okubo K,Nakamura Y,Takagi T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx926","created_at":"2021-09-30T08:26:16.313Z","updated_at":"2021-09-30T11:29:29.128Z"}],"licence_links":[{"licence_name":"DDBJ Policies and Disclaimers","licence_id":230,"licence_url":"https://www.ddbj.nig.ac.jp/policies-e.html","link_id":2312,"relation":"undefined"}],"grants":[{"id":86,"fairsharing_record_id":1572,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:18.108Z","updated_at":"2021-09-30T09:24:18.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":87,"fairsharing_record_id":1572,"organisation_id":252,"relation":"maintains","created_at":"2021-09-30T09:24:18.145Z","updated_at":"2021-09-30T09:24:18.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":252,"name":"Bioinformation and DDBJ Center","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":88,"fairsharing_record_id":1572,"organisation_id":2432,"relation":"funds","created_at":"2021-09-30T09:24:18.177Z","updated_at":"2021-09-30T09:24:18.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":2432,"name":"Research Organization of Information and Systems (ROIS), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":89,"fairsharing_record_id":1572,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:24:18.200Z","updated_at":"2021-09-30T09:32:17.787Z","grant_id":1553,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","grant":"JPMJCR1501","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1573","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:10:27.530Z","metadata":{"doi":"10.25504/FAIRsharing.rq71dw","name":"DNAtraffic","status":"deprecated","contacts":[{"contact_name":"Joanna Krwawicz","contact_email":"joanna.krwawicz@gmail.com"}],"homepage":"http://dnatraffic.ibb.waw.pl/","identifier":1573,"description":"A database for systems biology of DNA dynamics during the cell life.","abbreviation":"DNAtraffic","data_curation":{"type":"not found"},"support_links":[{"url":"http://dnatraffic.ibb.waw.pl/classification/faq/","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000028","bsg-d000028"],"name":"FAIRsharing record for: DNAtraffic","abbreviation":"DNAtraffic","url":"https://fairsharing.org/10.25504/FAIRsharing.rq71dw","doi":"10.25504/FAIRsharing.rq71dw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database for systems biology of DNA dynamics during the cell life.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Citation","Protein name","Drug structure","Drug name","Nucleic acid sequence","Protein image","Function analysis","Network model","Molecular function","Image","DNA damage","Cross linking","Disease","Pathway model","Amino acid sequence","Orthologous","Target"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Drosophila melanogaster","Escherichia coli","Homo sapiens","Mus musculus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":["Drug target in DNA network"],"countries":["Poland"],"publications":[{"id":1878,"pubmed_id":22110027,"title":"DNAtraffic--a new database for systems biology of DNA dynamics during the cell life.","year":2011,"url":"http://doi.org/10.1093/nar/gkr962","authors":"Kuchta K,Barszcz D,Grzesiuk E,Pomorski P,Krwawicz J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr962","created_at":"2021-09-30T08:25:51.246Z","updated_at":"2021-09-30T11:29:21.761Z"}],"licence_links":[],"grants":[{"id":92,"fairsharing_record_id":1573,"organisation_id":1400,"relation":"maintains","created_at":"2021-09-30T09:24:18.276Z","updated_at":"2021-09-30T09:24:18.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":1400,"name":"Institute of Biochemistry and Biophysics Polish Academy of Sciences, Warszawa, Poland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":90,"fairsharing_record_id":1573,"organisation_id":2820,"relation":"funds","created_at":"2021-09-30T09:24:18.225Z","updated_at":"2021-09-30T09:30:26.790Z","grant_id":714,"is_lead":false,"saved_state":{"id":2820,"name":"The Polish Ministry of Science and Higher Education","grant":"N N301 165835","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":91,"fairsharing_record_id":1573,"organisation_id":2186,"relation":"funds","created_at":"2021-09-30T09:24:18.251Z","updated_at":"2021-09-30T09:28:54.373Z","grant_id":9,"is_lead":false,"saved_state":{"id":2186,"name":"Norwegian Financial Mechanism, Norway","grant":"PNRF-143-AI-1/07","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1574","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:02.142Z","metadata":{"doi":"10.25504/FAIRsharing.z0ea6a","name":"doRiNA","status":"ready","contacts":[{"contact_name":"Altuna Akalin","contact_email":"altuna.akalin@mdc-berlin.de"}],"homepage":"http://dorina.mdc-berlin.de","citations":[],"identifier":1574,"description":"Database of RNA interactions in post-transcriptional regulation.","abbreviation":"doRiNA","data_curation":{"type":"automated"},"support_links":[{"url":"http://dorina.mdc-berlin.de/docs","type":"Help documentation"},{"url":"http://dorina.mdc-berlin.de/tutorials","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/DoRiNA","type":"Wikipedia"},{"url":"https://www.surveymonkey.de/r/denbi-service?sc=rbc\u0026tool=dorina","name":"Participate in DoRINA survey","type":"Other"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011087","name":"re3data:r3d100011087","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013222","name":"SciCrunch:RRID:SCR_013222","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000029","bsg-d000029"],"name":"FAIRsharing record for: doRiNA","abbreviation":"doRiNA","url":"https://fairsharing.org/10.25504/FAIRsharing.z0ea6a","doi":"10.25504/FAIRsharing.z0ea6a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of RNA interactions in post-transcriptional regulation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene expression","Exon","Micro RNA","Micro RNA (miRNA) target site"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus"],"user_defined_tags":["RNA-binding protein target sites"],"countries":["Germany"],"publications":[{"id":1868,"pubmed_id":20371350,"title":"Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.","year":2010,"url":"http://doi.org/10.1016/j.cell.2010.03.009","authors":"Hafner M., Landthaler M., Burger L., Khorshid M., Hausser J., Berninger P., Rothballer A., Ascano M., Jungkamp AC., Munschauer M., Ulrich A., Wardle GS., Dewell S., Zavolan M., Tuschl T.,","journal":"Cell","doi":"10.1016/j.cell.2010.03.009","created_at":"2021-09-30T08:25:50.061Z","updated_at":"2021-09-30T08:25:50.061Z"},{"id":1869,"pubmed_id":16458514,"title":"A genome-wide map of conserved microRNA targets in C. elegans.","year":2006,"url":"http://doi.org/10.1016/j.cub.2006.01.050","authors":"Lall S., Grün D., Krek A., Chen K., Wang YL., Dewey CN., Sood P., Colombo T., Bray N., Macmenamin P., Kao HL., Gunsalus KC., Pachter L., Piano F., Rajewsky N.,","journal":"Curr. Biol.","doi":"10.1016/j.cub.2006.01.050","created_at":"2021-09-30T08:25:50.182Z","updated_at":"2021-09-30T08:25:50.182Z"},{"id":1870,"pubmed_id":25416797,"title":"DoRiNA 2.0--upgrading the doRiNA database of RNA interactions in post-transcriptional regulation.","year":2014,"url":"http://doi.org/10.1093/nar/gku1180","authors":"Blin K,Dieterich C,Wurmus R,Rajewsky N,Landthaler M,Akalin A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1180","created_at":"2021-09-30T08:25:50.288Z","updated_at":"2021-09-30T11:29:21.663Z"}],"licence_links":[],"grants":[{"id":96,"fairsharing_record_id":1574,"organisation_id":1783,"relation":"maintains","created_at":"2021-09-30T09:24:18.376Z","updated_at":"2021-09-30T09:24:18.376Z","grant_id":null,"is_lead":false,"saved_state":{"id":1783,"name":"Max Planck Institute for Biology of Ageing, Cologne, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":93,"fairsharing_record_id":1574,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:18.301Z","updated_at":"2021-09-30T09:24:18.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":94,"fairsharing_record_id":1574,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:24:18.326Z","updated_at":"2021-09-30T09:24:18.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":95,"fairsharing_record_id":1574,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:18.351Z","updated_at":"2021-09-30T09:24:18.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":97,"fairsharing_record_id":1574,"organisation_id":1778,"relation":"maintains","created_at":"2021-09-30T09:24:18.402Z","updated_at":"2021-09-30T09:24:18.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":1778,"name":"Max Delbrueck Center for Molecular Medicine (MDC), Berlin, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1554","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-03T17:19:15.368Z","metadata":{"doi":"10.25504/FAIRsharing.ewjdq6","name":"BioSamples","status":"ready","contacts":[{"contact_name":"Support email","contact_email":"biosamples@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biosamples/","citations":[{"doi":"10.1093/nar/gkab1046","pubmed_id":0,"publication_id":3215}],"identifier":1554,"description":"BioSamples, previously BioSample Database (BioSD), at the European Bioinformatics Institute stores and supplies descriptions and metadata about biological samples used in research and development by academia and industry. Samples are either 'reference' samples (e.g. from 1000 Genomes, HipSci, FAANG) or have been used in an assay database such as the European Nucleotide Archive (ENA) or ArrayExpress. It provides links to assays and specific samples, and accepts direct submissions of sample information.","abbreviation":"BioSD","data_curation":{"url":"https://www.ebi.ac.uk/biosamples/docs/guides/curation","type":"manual/automated","notes":"BioSamples performs automatic curation and supports manual curation to improve sample data findability."},"support_links":[{"url":"https://www.ebi.ac.uk/biosamples/docs/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/biosamples/docs","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/EBIBioSamples/biosamples-v4","name":"GitHub Project","type":"Github"},{"url":"https://www.ebi.ac.uk/biosamples/about","name":"About","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/biosamples","name":"BioSamples: Quick tour","type":"TeSS links to training materials"},{"url":"https://en.wikipedia.org/wiki/BioSD","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012628","name":"re3data:r3d100012628","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004856","name":"SciCrunch:RRID:SCR_004856","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/biosamples/submit","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000008","bsg-d000008"],"name":"FAIRsharing record for: BioSamples","abbreviation":"BioSD","url":"https://fairsharing.org/10.25504/FAIRsharing.ewjdq6","doi":"10.25504/FAIRsharing.ewjdq6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioSamples, previously BioSample Database (BioSD), at the European Bioinformatics Institute stores and supplies descriptions and metadata about biological samples used in research and development by academia and industry. Samples are either 'reference' samples (e.g. from 1000 Genomes, HipSci, FAANG) or have been used in an assay database such as the European Nucleotide Archive (ENA) or ArrayExpress. It provides links to assays and specific samples, and accepts direct submissions of sample information.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17059},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17080},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11317},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11828},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19499}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biology"],"domains":["Biological sample annotation","Biological sample","Assay","Protocol","Phenotype","Disease","Genotype"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":821,"pubmed_id":24265224,"title":"Updates to BioSamples database at European Bioinformatics Institute.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1081","authors":"Faulconbridge A,Burdett T,Brandizi M,Gostev M,Pereira R,Vasant D,Sarkans U,Brazma A,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1081","created_at":"2021-09-30T08:23:50.519Z","updated_at":"2021-09-30T11:28:53.084Z"},{"id":1265,"pubmed_id":22096232,"title":"The BioSample Database (BioSD) at the European Bioinformatics Institute.","year":2011,"url":"http://doi.org/10.1093/nar/gkr937","authors":"Gostev M,Faulconbridge A,Brandizi M,Fernandez-Banet J,Sarkans U,Brazma A,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr937","created_at":"2021-09-30T08:24:41.123Z","updated_at":"2021-09-30T11:29:04.535Z"},{"id":2764,"pubmed_id":30407529,"title":"BioSamples database: an updated sample metadata hub.","year":2018,"url":"http://doi.org/10.1093/nar/gky1061","authors":"Courtot M,Cherubin L,Faulconbridge A,Vaughan D,Green M,Richardson D,Harrison P,Whetzel PL,Parkinson H,Burdett T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1061","created_at":"2021-09-30T08:27:39.720Z","updated_at":"2021-09-30T11:29:43.220Z"},{"id":3215,"pubmed_id":0,"title":"BioSamples database: FAIRer samples metadata to accelerate research data management","year":2022,"url":"https://academic.oup.com/nar/article/50/D1/D1500/6423179","authors":"Mélanie Courtot, Dipayan Gupta, Isuru Liyanage, Fuqi Xu, Tony Burdett","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1046","created_at":"2022-02-08T12:16:26.427Z","updated_at":"2022-02-08T12:16:26.427Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2063,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2059,"relation":"undefined"}],"grants":[{"id":10016,"fairsharing_record_id":1554,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.875Z","updated_at":"2022-10-13T09:43:38.875Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":26,"fairsharing_record_id":1554,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:15.866Z","updated_at":"2021-09-30T09:24:15.866Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":27,"fairsharing_record_id":1554,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:15.904Z","updated_at":"2021-09-30T09:32:30.004Z","grant_id":1648,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"HEALTH-F4-2010-241669","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9238,"fairsharing_record_id":1554,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.526Z","updated_at":"2022-04-11T12:07:24.546Z","grant_id":1538,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"HEALTH-F4-2007-201413","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdm9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4143c907685616a1d811264fba5110541e029972/biosamples_LOGO.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1555","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:02.471Z","metadata":{"doi":"10.25504/FAIRsharing.d8bfx4","name":"Bitter Compounds Database","status":"ready","contacts":[{"contact_email":"nivlab@agri.huji.ac.il"}],"homepage":"https://bitterdb.agri.huji.ac.il/dbbitter.php","citations":[{"doi":"10.1093/nar/gkr755","pubmed_id":21940398,"publication_id":892},{"doi":"10.1093/nar/gky974","pubmed_id":null,"publication_id":3344}],"identifier":1555,"description":"BitterDB is a free and searchable database of bitter compounds. Compounds can be searched by name, chemical structure, similarity to other bitter compounds, association with a particular human bitter taste receptor, and so on. The database also contains information on mutations in bitter taste re- ceptors that were shown to influence receptor activation by bitter compounds. The aim of BitterDB is to facilitate studying the chemical features associated with bitterness.","abbreviation":"BitterDB","data_curation":{"type":"manual"},"support_links":[{"url":"nivlab@agri.huji.ac.il","type":"Support email"},{"url":"https://bitterdb.agri.huji.ac.il/dbbitter.php#Help","name":"Help - How to use BitterDB","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/BitterDB","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://bitterdb.agri.huji.ac.il/dbbitter.php#BitterPredict","name":"BitterPredict"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://bitterdb.agri.huji.ac.il/dbbitter.php#Upload","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000009","bsg-d000009"],"name":"FAIRsharing record for: Bitter Compounds Database","abbreviation":"BitterDB","url":"https://fairsharing.org/10.25504/FAIRsharing.d8bfx4","doi":"10.25504/FAIRsharing.d8bfx4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BitterDB is a free and searchable database of bitter compounds. Compounds can be searched by name, chemical structure, similarity to other bitter compounds, association with a particular human bitter taste receptor, and so on. The database also contains information on mutations in bitter taste re- ceptors that were shown to influence receptor activation by bitter compounds. The aim of BitterDB is to facilitate studying the chemical features associated with bitterness.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science"],"domains":["Molecular structure","Ligand","Nuclear receptor","Receptor","Toxicity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":892,"pubmed_id":21940398,"title":"BitterDB: a database of bitter compounds.","year":2011,"url":"http://doi.org/10.1093/nar/gkr755","authors":"Wiener A,Shudler M,Levit A,Niv MY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr755","created_at":"2021-09-30T08:23:58.535Z","updated_at":"2021-09-30T11:28:55.011Z"},{"id":3344,"pubmed_id":null,"title":"BitterDB: taste ligands and receptors database in 2019","year":2018,"url":"http://dx.doi.org/10.1093/nar/gky974","authors":"Dagan-Wiener, Ayana; Di Pizio, Antonella; Nissim, Ido; Bahia, Malkeet S; Dubovski, Nitzan; Margulis, Eitan; Niv, Masha Y; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky974","created_at":"2022-05-04T08:10:01.367Z","updated_at":"2022-05-04T08:10:01.367Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":255,"relation":"undefined"}],"grants":[{"id":30,"fairsharing_record_id":1555,"organisation_id":1228,"relation":"maintains","created_at":"2021-09-30T09:24:16.065Z","updated_at":"2021-09-30T09:24:16.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1228,"name":"Hebrew University of Jerusalem, Israel","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":29,"fairsharing_record_id":1555,"organisation_id":3173,"relation":"funds","created_at":"2021-09-30T09:24:15.979Z","updated_at":"2021-09-30T09:30:52.341Z","grant_id":912,"is_lead":false,"saved_state":{"id":3173,"name":"U.S.-Israel Binational Science Foundation (BSF)","grant":"2007296","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9486,"fairsharing_record_id":1555,"organisation_id":3501,"relation":"maintains","created_at":"2022-05-04T08:15:15.596Z","updated_at":"2022-05-04T08:15:15.596Z","grant_id":null,"is_lead":true,"saved_state":{"id":3501,"name":"Niv Lab, Hebrew University of Jerusalem","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1556","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:23.295Z","metadata":{"doi":"10.25504/FAIRsharing.17r4y2","name":"BuG@Sbase","status":"deprecated","contacts":[{"contact_name":"Adam A. Witney","contact_email":"awitney@sgul.ac.uk","contact_orcid":"0000-0003-4561-7170"}],"homepage":"http://bugs.sgul.ac.uk/bugsbase/","identifier":1556,"description":"BuG@Sbase is a microbial gene expression and comparative genomic database containing microarray datasets.","abbreviation":"BuG@Sbase","data_curation":{"type":"not found"},"support_links":[{"url":"bugs@sgul.ac.uk","type":"Support email"},{"url":"http://bugs.sgul.ac.uk/bugsbase/tabs/help.php","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000010","bsg-d000010"],"name":"FAIRsharing record for: BuG@Sbase","abbreviation":"BuG@Sbase","url":"https://fairsharing.org/10.25504/FAIRsharing.17r4y2","doi":"10.25504/FAIRsharing.17r4y2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BuG@Sbase is a microbial gene expression and comparative genomic database containing microarray datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Comparative Genomics"],"domains":["Expression data"],"taxonomies":["Campylobacter","Clostridium","Haemophilus","Listeria","Mycobacterium","Neisseria","Staphylococcus","Streptococcus","Yersinia"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1144,"pubmed_id":21948792,"title":"BmuG@Sbase--a microbial gene expression and comparative genomic database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr796","authors":"Witney AA,Waldron DE,Brooks LA,Tyler RH,Withers M,Stoker NG,Wren BW,Butcher PD,Hinds J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr796","created_at":"2021-09-30T08:24:27.139Z","updated_at":"2021-09-30T11:29:00.627Z"},{"id":1388,"pubmed_id":18629280,"title":"BmuG@Sbase--a microarray database and analysis tool.","year":2008,"url":"http://doi.org/10.1002/cfg.197","authors":"Witney AA,Hinds J","journal":"Comp Funct Genomics","doi":"10.1002/cfg.197","created_at":"2021-09-30T08:24:55.176Z","updated_at":"2021-09-30T08:24:55.176Z"}],"licence_links":[],"grants":[{"id":31,"fairsharing_record_id":1556,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:16.104Z","updated_at":"2021-09-30T09:24:16.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":32,"fairsharing_record_id":1556,"organisation_id":3084,"relation":"maintains","created_at":"2021-09-30T09:24:16.147Z","updated_at":"2021-09-30T09:24:16.147Z","grant_id":null,"is_lead":false,"saved_state":{"id":3084,"name":"University Of London, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1557","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:40:52.166Z","metadata":{"doi":"10.25504/FAIRsharing.jr30xc","name":"Bacterial protein tYrosine Kinase database","status":"ready","contacts":[],"homepage":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbIndex","citations":[{"doi":"10.1093/nar/gkr915","pubmed_id":22080550,"publication_id":2339}],"identifier":1557,"description":"The Bacterial protein tYrosine Kinase database (BYKdb) contains computer-annotated BY-kinase sequences. The database web interface allows static and dynamic queries and provides integrated analysis tools including sequence annotation.","abbreviation":"BYKdb","data_curation":{"url":"https://doi.org/10.1093/nar/gkr915","type":"automated"},"support_links":[{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbContact","type":"Contact form"},{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbHelp","type":"Help documentation"},{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbNews","type":"Blog/News"},{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbStats","name":"Statistics","type":"Other"}],"year_creation":2011,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkr915","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000011","bsg-d000011"],"name":"FAIRsharing record for: Bacterial protein tYrosine Kinase database","abbreviation":"BYKdb","url":"https://fairsharing.org/10.25504/FAIRsharing.jr30xc","doi":"10.25504/FAIRsharing.jr30xc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bacterial protein tYrosine Kinase database (BYKdb) contains computer-annotated BY-kinase sequences. The database web interface allows static and dynamic queries and provides integrated analysis tools including sequence annotation.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12571}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Protein structure","Molecular function","Amino acid sequence"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2173,"pubmed_id":9434192,"title":"Characterization of a bacterial gene encoding an autophosphorylating protein tyrosine kinase.","year":1998,"url":"http://doi.org/10.1016/s0378-1119(97)00554-4","authors":"Grangeasse C., Doublet P., Vaganay E., Vincent C., Deléage G., Duclos B., Cozzone AJ.,","journal":"Gene","doi":"10.1016/s0378-1119(97)00554-4","created_at":"2021-09-30T08:26:24.866Z","updated_at":"2021-09-30T08:26:24.866Z"},{"id":2175,"pubmed_id":18772155,"title":"Identification of the idiosyncratic bacterial protein tyrosine kinase (BY-kinase) family signature.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn462","authors":"Jadeau F., Bechet E., Cozzone AJ., Deléage G., Grangeasse C., Combet C.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn462","created_at":"2021-09-30T08:26:25.117Z","updated_at":"2021-09-30T08:26:25.117Z"},{"id":2191,"pubmed_id":19189200,"title":"Tyrosine-kinases in bacteria: from a matter of controversy to the status of key regulatory enzymes.","year":2009,"url":"http://doi.org/10.1007/s00726-009-0237-8","authors":"Bechet E., Guiral S., Torres S., Mijakovic I., Cozzone AJ., Grangeasse C.,","journal":"Amino Acids","doi":"10.1007/s00726-009-0237-8","created_at":"2021-09-30T08:26:26.972Z","updated_at":"2021-09-30T08:26:26.972Z"},{"id":2339,"pubmed_id":22080550,"title":"BYKdb: the Bacterial protein tYrosine Kinase database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr915","authors":"Jadeau F,Grangeasse C,Shi L,Mijakovic I,Deleage G,Combet C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr915","created_at":"2021-09-30T08:26:47.258Z","updated_at":"2021-09-30T11:29:33.396Z"}],"licence_links":[],"grants":[{"id":36,"fairsharing_record_id":1557,"organisation_id":2439,"relation":"maintains","created_at":"2021-09-30T09:24:16.316Z","updated_at":"2021-09-30T09:24:16.316Z","grant_id":null,"is_lead":true,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":39,"fairsharing_record_id":1557,"organisation_id":2985,"relation":"maintains","created_at":"2021-09-30T09:24:16.440Z","updated_at":"2021-09-30T09:24:16.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":2985,"name":"Universite de Lyon, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":35,"fairsharing_record_id":1557,"organisation_id":2439,"relation":"funds","created_at":"2021-09-30T09:24:16.282Z","updated_at":"2021-09-30T09:30:24.664Z","grant_id":698,"is_lead":false,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","grant":"GIS IBiSA","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":33,"fairsharing_record_id":1557,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:16.190Z","updated_at":"2021-09-30T09:24:16.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":37,"fairsharing_record_id":1557,"organisation_id":1365,"relation":"maintains","created_at":"2021-09-30T09:24:16.356Z","updated_at":"2021-09-30T09:24:16.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":1365,"name":"Institut de Biologie et Chimie des Proteines (IBCP), Centre National de la Recherche Scientifique, Lyon, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":38,"fairsharing_record_id":1557,"organisation_id":1365,"relation":"funds","created_at":"2021-09-30T09:24:16.394Z","updated_at":"2021-09-30T09:24:16.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":1365,"name":"Institut de Biologie et Chimie des Proteines (IBCP), Centre National de la Recherche Scientifique, Lyon, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":40,"fairsharing_record_id":1557,"organisation_id":453,"relation":"maintains","created_at":"2021-09-30T09:24:16.498Z","updated_at":"2021-09-30T09:24:16.498Z","grant_id":null,"is_lead":true,"saved_state":{"id":453,"name":"Centre de Recherche en Cancerologie de Lyon (CRCL), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":34,"fairsharing_record_id":1557,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:16.230Z","updated_at":"2021-09-30T09:29:41.878Z","grant_id":363,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-07-JCJC0125-01 BACTYRKIN","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1558","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T13:22:41.545Z","metadata":{"doi":"10.25504/FAIRsharing.7x7ha7","name":"Central Aspergillus Data REpository","status":"deprecated","contacts":[{"contact_name":"CADRE Help Desk","contact_email":"helpdesk@cadre-genomes.org.uk"}],"homepage":"http://www.cadre-genomes.org.uk","citations":[],"identifier":1558,"description":"This project aims to support the international Aspergillus research community by gathering all genomic information regarding this significant genus into one resource - The Central Aspergillus REsource (CADRE). CADRE facilitates visualisation and analyses of data using the Ensembl software suite. Much of our data has been extracted from Genbank and augmented with the consent of the original sequencing groups. This additional work has been carried out using both automated and manual efforts, with support from specific annotation projects and the general Aspergillus community.","abbreviation":"CADRE","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.cadre-genomes.org.uk/info/about/contact/index.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.cadre-genomes.org.uk/info/about/ProjectInformation.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","deprecation_date":"2024-04-17","deprecation_reason":"The home page lands on a blog. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000012","bsg-d000012"],"name":"FAIRsharing record for: Central Aspergillus Data REpository","abbreviation":"CADRE","url":"https://fairsharing.org/10.25504/FAIRsharing.7x7ha7","doi":"10.25504/FAIRsharing.7x7ha7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This project aims to support the international Aspergillus research community by gathering all genomic information regarding this significant genus into one resource - The Central Aspergillus REsource (CADRE). CADRE facilitates visualisation and analyses of data using the Ensembl software suite. Much of our data has been extracted from Genbank and augmented with the consent of the original sequencing groups. This additional work has been carried out using both automated and manual efforts, with support from specific annotation projects and the general Aspergillus community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Protein domain","Gene name","DNA sequence data","Gene Ontology enrichment","Genome alignment","Gene model annotation","Orthologous","Karyotype","Genetic strain"],"taxonomies":["Aspergillus","Neosartorya fischeri"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":128,"pubmed_id":19039001,"title":"Aspergillus genomes and the Aspergillus cloud.","year":2008,"url":"http://doi.org/10.1093/nar/gkn876","authors":"Mabey Gilsenan JE., Atherton G., Bartholomew J., Giles PF., Attwood TK., Denning DW., Bowyer P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn876","created_at":"2021-09-30T08:22:34.064Z","updated_at":"2021-09-30T08:22:34.064Z"},{"id":1320,"pubmed_id":14681443,"title":"CADRE: the Central Aspergillus Data REpository.","year":2003,"url":"http://doi.org/10.1093/nar/gkh009","authors":"Mabey JE., Anderson MJ., Giles PF., Miller CJ., Attwood TK., Paton NW., Bornberg-Bauer E., Robson GD., Oliver SG., Denning DW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh009","created_at":"2021-09-30T08:24:47.559Z","updated_at":"2021-09-30T08:24:47.559Z"},{"id":2634,"pubmed_id":19146970,"title":"The 2008 update of the Aspergillus nidulans genome annotation: a community effort.","year":2009,"url":"http://doi.org/10.1016/j.fgb.2008.12.003","authors":"Wortman JR. et al.","journal":"Fungal Genet. Biol.","doi":"10.1016/j.fgb.2008.12.003","created_at":"2021-09-30T08:27:23.471Z","updated_at":"2021-09-30T08:27:23.471Z"}],"licence_links":[],"grants":[{"id":42,"fairsharing_record_id":1558,"organisation_id":2516,"relation":"maintains","created_at":"2021-09-30T09:24:16.589Z","updated_at":"2021-09-30T09:24:16.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":2516,"name":"School of Medicine, The University Hospital of South Manchester (Wythenshawe), Manchester M23 9LT, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":41,"fairsharing_record_id":1558,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:16.536Z","updated_at":"2021-09-30T09:24:16.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":44,"fairsharing_record_id":1558,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:24:16.672Z","updated_at":"2021-09-30T09:24:16.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":45,"fairsharing_record_id":1558,"organisation_id":2517,"relation":"maintains","created_at":"2021-09-30T09:24:16.710Z","updated_at":"2021-09-30T09:24:16.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2517,"name":"School of Medicine, University of Manchester, Manchester M13 9PT, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9236,"fairsharing_record_id":1558,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.358Z","updated_at":"2022-04-11T12:07:24.377Z","grant_id":215,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"242220","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1559","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:15.867Z","metadata":{"doi":"10.25504/FAIRsharing.nj4vca","name":"canSAR","status":"ready","contacts":[{"contact_name":"Bissan Al-Lazikani","contact_email":"bissan.al-lazikani@icr.ac.uk","contact_orcid":"0000-0003-3367-2519"},{"contact_name":"General Contact","contact_email":"cansar@mdanderson.org","contact_orcid":null}],"homepage":"https://cansar.ai/","citations":[],"identifier":1559,"description":"canSAR is an integrated cancer research and drug discovery resource that brings together large-scale data from different disciplines and allows query and exploration to help cancer research and drug discovery.","abbreviation":null,"data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://cansar.ai/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/cansar_icr","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000013","bsg-d000013"],"name":"FAIRsharing record for: canSAR","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nj4vca","doi":"10.25504/FAIRsharing.nj4vca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: canSAR is an integrated cancer research and drug discovery resource that brings together large-scale data from different disciplines and allows query and exploration to help cancer research and drug discovery.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11757}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Drug report","Chemical structure","Expression data","Annotation","Cancer","Cellular assay","RNAi screening","Chemical screen","Drug binding","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":783,"pubmed_id":22013161,"title":"canSAR: an integrated cancer public translational research and drug discovery resource.","year":2011,"url":"http://doi.org/10.1093/nar/gkr881","authors":"Halling-Brown MD,Bulusu KC,Patel M,Tym JE,Al-Lazikani B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr881","created_at":"2021-09-30T08:23:46.318Z","updated_at":"2021-09-30T11:28:51.300Z"},{"id":784,"pubmed_id":24304894,"title":"canSAR: updated cancer research and drug discovery knowledgebase.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1182","authors":"Bulusu KC,Tym JE,Coker EA,Schierz AC,Al-Lazikani B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1182","created_at":"2021-09-30T08:23:46.426Z","updated_at":"2021-09-30T11:28:51.408Z"},{"id":1454,"pubmed_id":26673713,"title":"canSAR: an updated cancer research and drug discovery knowledgebase.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1030","authors":"Tym JE,Mitsopoulos C,Coker EA,Razaz P,Schierz AC,Antolin AA,Al-Lazikani B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1030","created_at":"2021-09-30T08:25:02.499Z","updated_at":"2021-09-30T11:29:08.878Z"},{"id":3371,"pubmed_id":null,"title":"canSAR: update to the cancer translational research and drug discovery knowledgebase","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa1059","authors":"Mitsopoulos, Costas; Di Micco, Patrizio; Fernandez, Eloy Villasclaras; Dolciami, Daniela; Holt, Esty; Mica, Ioan L; Coker, Elizabeth A; Tym, Joseph E; Campbell, James; Che, Ka Hing; Ozer, Bugra; Kannas, Christos; Antolin, Albert A; Workman, Paul; Al-Lazikani, Bissan; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1059","created_at":"2022-05-23T12:25:09.483Z","updated_at":"2022-05-23T12:25:09.483Z"},{"id":4051,"pubmed_id":null,"title":"canSAR: update to the cancer translational research and drug discovery knowledgebase","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1004","authors":"di Micco, Patrizio; Antolin, Albert A; Mitsopoulos, Costas; Villasclaras-Fernandez, Eloy; Sanfelice, Domenico; Dolciami, Daniela; Ramagiri, Pradeep; Mica, Ioan L; Tym, Joseph E; Gingrich, Philip W; Hu, Huabin; Workman, Paul; Al-Lazikani, Bissan; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1004","created_at":"2023-11-22T12:41:52.235Z","updated_at":"2023-11-22T12:41:52.235Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3413,"relation":"applies_to_content"}],"grants":[{"id":47,"fairsharing_record_id":1559,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:16.790Z","updated_at":"2021-09-30T09:31:55.386Z","grant_id":1388,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"600388","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":48,"fairsharing_record_id":1559,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:24:16.831Z","updated_at":"2021-09-30T09:30:06.629Z","grant_id":555,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK Manchester Institute","grant":"C309/A8274","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":46,"fairsharing_record_id":1559,"organisation_id":369,"relation":"funds","created_at":"2021-09-30T09:24:16.747Z","updated_at":"2021-09-30T09:32:24.321Z","grant_id":1605,"is_lead":false,"saved_state":{"id":369,"name":"Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, UK","grant":"C309/A11566","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11103,"fairsharing_record_id":1559,"organisation_id":4175,"relation":"maintains","created_at":"2023-11-22T12:47:31.945Z","updated_at":"2023-11-22T12:47:31.945Z","grant_id":null,"is_lead":true,"saved_state":{"id":4175,"name":"The University of Texas MD Anderson Cancer Center","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":11104,"fairsharing_record_id":1559,"organisation_id":4175,"relation":"funds","created_at":"2023-11-22T12:47:31.946Z","updated_at":"2023-11-22T12:47:31.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":4175,"name":"The University of Texas MD Anderson Cancer Center","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11105,"fairsharing_record_id":1559,"organisation_id":1736,"relation":"funds","created_at":"2023-11-22T12:47:31.946Z","updated_at":"2023-11-22T12:47:31.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":1736,"name":"Lyda Hill Foundation, United States","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9556,"fairsharing_record_id":1559,"organisation_id":369,"relation":"maintains","created_at":"2022-05-23T12:26:44.619Z","updated_at":"2023-11-22T12:47:32.879Z","grant_id":null,"is_lead":false,"saved_state":{"id":369,"name":"Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZUU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--af75346c3aa4ea0024b53c25b444be87f495f32f/cansar.png?disposition=inline","exhaustive_licences":true}},{"id":"1553","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:54:11.161Z","metadata":{"doi":"10.25504/FAIRsharing.9k7at4","name":"Aspergillus Genome Database","status":"deprecated","contacts":[{"contact_email":"aspergillus-curator@lists.stanford.edu"}],"homepage":"http://www.aspgd.org","citations":[],"identifier":1553,"description":"The Aspergillus Genome Database is a resource for genomic sequence data as well as gene and protein information for Aspergilli. This publicly available repository is a central point of access to genome, transcriptome and polymorphism data for the fungal research community.","abbreviation":"ASPGD","data_curation":{},"support_links":[{"url":"http://www.aspergillusgenome.org/HelpContents.shtml","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://www.aspergillusgenome.org/cgi-bin/compute/blast_clade.pl","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011253","name":"re3data:r3d100011253","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001880","name":"SciCrunch:RRID:SCR_001880","portal":"SciCrunch"}],"deprecation_date":"2022-07-13","deprecation_reason":"This resource is no longer active.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000007","bsg-d000007"],"name":"FAIRsharing record for: Aspergillus Genome Database","abbreviation":"ASPGD","url":"https://fairsharing.org/10.25504/FAIRsharing.9k7at4","doi":"10.25504/FAIRsharing.9k7at4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Aspergillus Genome Database is a resource for genomic sequence data as well as gene and protein information for Aspergilli. This publicly available repository is a central point of access to genome, transcriptome and polymorphism data for the fungal research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene model annotation","Curated information","Protein","Sequence","Gene","Genome"],"taxonomies":["Aspergillus","Aspergillus clavatus","Aspergillus flavus","Aspergillus fumigatus","Aspergillus niger","Aspergillus oryzae","Aspergillus terreus","Emericella nidulans","Neosartorya fischeri"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":29,"pubmed_id":19773420,"title":"The Aspergillus Genome Database, a curated comparative genomics resource for gene, protein and sequence information for the Aspergillus research community.","year":2009,"url":"http://doi.org/10.1093/nar/gkp751","authors":"Arnaud MB., Chibucos MC., Costanzo MC., Crabtree J., Inglis DO., Lotia A., Orvis J., Shah P., Skrzypek MS., Binkley G., Miyasato SR., Wortman JR., Sherlock G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp751","created_at":"2021-09-30T08:22:23.463Z","updated_at":"2021-09-30T08:22:23.463Z"},{"id":1365,"pubmed_id":22080559,"title":"The Aspergillus Genome Database (AspGD): recent developments in comprehensive multispecies curation, comparative genomics and community resources.","year":2011,"url":"http://doi.org/10.1093/nar/gkr875","authors":"Arnaud MB., Cerqueira GC., Inglis DO., Skrzypek MS., Binkley J., Chibucos MC., Crabtree J., Howarth C., Orvis J., Shah P., Wymore F., Binkley G., Miyasato SR., Simison M., Sherlock G., Wortman JR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr875","created_at":"2021-09-30T08:24:52.667Z","updated_at":"2021-09-30T08:24:52.667Z"},{"id":1366,"pubmed_id":24194595,"title":"The Aspergillus Genome Database: multispecies curation and incorporation of RNA-Seq data to improve structural gene annotations.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1029","authors":"Cerqueira GC,Arnaud MB,Inglis DO,Skrzypek MS,Binkley G,Simison M,Miyasato SR,Binkley J,Orvis J,Shah P,Wymore F,Sherlock G,Wortman JR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1029","created_at":"2021-09-30T08:24:52.774Z","updated_at":"2021-09-30T11:29:07.193Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":310,"relation":"undefined"}],"grants":[{"id":24,"fairsharing_record_id":1553,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:24:15.796Z","updated_at":"2021-09-30T09:24:15.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":22,"fairsharing_record_id":1553,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:24:15.723Z","updated_at":"2021-09-30T09:24:15.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":25,"fairsharing_record_id":1553,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:15.834Z","updated_at":"2021-09-30T09:24:15.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":23,"fairsharing_record_id":1553,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:15.754Z","updated_at":"2021-09-30T09:30:20.121Z","grant_id":662,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 AI077599","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1560","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:33.282Z","metadata":{"doi":"10.25504/FAIRsharing.r3pbp3","name":"CAPS-DB : a structural classification of helix-capping motifs","status":"ready","contacts":[{"contact_name":"Narcis Fernandez-Fuentes","contact_email":"N.Fernandez-Fuentes@leeds.ac.uk","contact_orcid":"0000-0002-6421-1080"}],"homepage":"http://www.bioinsilico.org/CAPSDB","citations":[],"identifier":1560,"description":"CAPS-DB is a structural classification of helix-cappings or caps compiled from protein structures. Caps extracted from protein structures have been structurally classified based on geometry and conformation and organized in a tree-like hierarchical classification where the different levels correspond to different properties of the caps.","abbreviation":"CAPS-DB","data_curation":{"url":"http://www.bioinsilico.org/cgi-bin/CAPSDB/staticHTML/help","type":"automated","notes":"Data is clustered"},"support_links":[{"url":"http://www.bioinsilico.org/cgi-bin/CAPSDB/staticHTML/help","name":"Help Page","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000014","bsg-d000014"],"name":"FAIRsharing record for: CAPS-DB : a structural classification of helix-capping motifs","abbreviation":"CAPS-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.r3pbp3","doi":"10.25504/FAIRsharing.r3pbp3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CAPS-DB is a structural classification of helix-cappings or caps compiled from protein structures. Caps extracted from protein structures have been structurally classified based on geometry and conformation and organized in a tree-like hierarchical classification where the different levels correspond to different properties of the caps.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12572}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Molecular structure","Protein structure","Atomic coordinate","Sequence annotation","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":33,"pubmed_id":9102471,"title":"An automated classification of the structure of protein loops.","year":1997,"url":"http://doi.org/10.1006/jmbi.1996.0819","authors":"Oliva B., Bates PA., Querol E., Avilés FX., Sternberg MJ.,","journal":"J. Mol. Biol.","doi":"10.1006/jmbi.1996.0819","created_at":"2021-09-30T08:22:23.889Z","updated_at":"2021-09-30T08:22:23.889Z"},{"id":1367,"pubmed_id":22021380,"title":"CAPS-DB: a structural classification of helix-capping motifs.","year":2011,"url":"http://doi.org/10.1093/nar/gkr879","authors":"Segura J,Oliva B,Fernandez-Fuentes N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr879","created_at":"2021-09-30T08:24:52.881Z","updated_at":"2021-09-30T11:29:07.284Z"}],"licence_links":[{"licence_name":"CAPS-DB Disclaimer","licence_id":914,"licence_url":"http://www.bioinsilico.org/cgi-bin/CAPSDB/staticHTML/disclaimer","link_id":2622,"relation":"applies_to_content"}],"grants":[{"id":8984,"fairsharing_record_id":1560,"organisation_id":3076,"relation":"maintains","created_at":"2022-03-11T11:19:09.158Z","updated_at":"2022-03-11T11:19:09.158Z","grant_id":null,"is_lead":true,"saved_state":{"id":3076,"name":"University of Leeds","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1617","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:46:52.553Z","metadata":{"doi":"10.25504/FAIRsharing.vr52p3","name":"Nucleic Acid Phylogenetic Profile","status":"ready","contacts":[{"contact_name":"Daniel Gautheret","contact_email":"daniel.gautheret@u-psud.fr","contact_orcid":"0000-0002-1508-8469"}],"homepage":"http://rssf.i2bc.paris-saclay.fr/NAPP/index.php","citations":[],"identifier":1617,"description":"NAPP (Nucleic Acids Phylogenetic Profile) enables users to retrieve RNA-rich clusters from any genome in a list of 1000+ sequenced bacterial genomes. RNA-rich clusters can be viewed separately or, alternatively, all tiles from RNA-rich clusters can be contiged into larger elements and retrieved at once as a CSV or GFF file for use in a genome browser or comparison with other predictions/RNA-seq experiments.","abbreviation":"NAPP","data_curation":{"url":"http://rssf.i2bc.paris-saclay.fr/NAPP/Help.php","type":"automated"},"support_links":[{"url":"napp.biologie@u-psud.fr","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/NAPP_(Database)","type":"Wikipedia"},{"url":"http://rssf.i2bc.paris-saclay.fr/NAPP/Help.php","name":"Help Information","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://rssf.i2bc.paris-saclay.fr/NAPP/Help.php","type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000073","bsg-d000073"],"name":"FAIRsharing record for: Nucleic Acid Phylogenetic Profile","abbreviation":"NAPP","url":"https://fairsharing.org/10.25504/FAIRsharing.vr52p3","doi":"10.25504/FAIRsharing.vr52p3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NAPP (Nucleic Acids Phylogenetic Profile) enables users to retrieve RNA-rich clusters from any genome in a list of 1000+ sequenced bacterial genomes. RNA-rich clusters can be viewed separately or, alternatively, all tiles from RNA-rich clusters can be contiged into larger elements and retrieved at once as a CSV or GFF file for use in a genome browser or comparison with other predictions/RNA-seq experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["RNA sequence","Clustering","Non-coding RNA"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":118,"pubmed_id":19237465,"title":"Single-pass classification of all noncoding sequences in a bacterial genome using phylogenetic profiles.","year":2009,"url":"http://doi.org/10.1101/gr.089714.108","authors":"Marchais A., Naville M., Bohn C., Bouloc P., Gautheret D.,","journal":"Genome Res.","doi":"10.1101/gr.089714.108","created_at":"2021-09-30T08:22:33.063Z","updated_at":"2021-09-30T08:22:33.063Z"},{"id":1147,"pubmed_id":21984475,"title":"NAPP: the Nucleic Acid Phylogenetic Profile Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr807","authors":"Ott A,Idali A,Marchais A,Gautheret D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr807","created_at":"2021-09-30T08:24:27.520Z","updated_at":"2021-09-30T11:29:00.917Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 France (CC BY 2.0 FR)","licence_id":935,"licence_url":"https://creativecommons.org/licenses/by/2.0/fr/","link_id":2683,"relation":"applies_to_content"}],"grants":[{"id":242,"fairsharing_record_id":1617,"organisation_id":1092,"relation":"maintains","created_at":"2021-09-30T09:24:23.545Z","updated_at":"2022-05-09T11:46:03.070Z","grant_id":null,"is_lead":true,"saved_state":{"id":1092,"name":"Gautheret Lab, Institute for Integrative Biology of the Cell","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":241,"fairsharing_record_id":1617,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:23.504Z","updated_at":"2021-09-30T09:32:40.238Z","grant_id":1726,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-06-MIME-016-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBY1E9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ded9743839b959ea5fd33e0eaf6a3117c79ab55f/NAPP.png?disposition=inline","exhaustive_licences":false}},{"id":"1618","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:09.780Z","metadata":{"doi":"10.25504/FAIRsharing.8gwskw","name":"Network of Cancer Genes","status":"ready","contacts":[{"contact_name":"Thanos Mourikis","contact_email":"athanasios.mourikis@kcl.ac.uk"}],"homepage":"http://ncg.kcl.ac.uk/","citations":[{"publication_id":2454}],"identifier":1618,"description":"The Network of Cancer Genes (NCG) contains information on duplicability, evolution, protein-protein and microRNA-gene interaction, function, expression and essentiality of cancer genes from manually curated publications . NCG also provides information on the experimental validation that supports the role of these genes in cancer and annotates their properties (duplicability, evolutionary origin, expression profile, function and interactions with proteins and miRNAs).","abbreviation":"NCG","data_curation":{"type":"manual"},"support_links":[{"url":"francesca.ciccarelli@crick.ac.uk","name":"francesca.ciccarelli@crick.ac.uk","type":"Support email"},{"url":"http://ncg.kcl.ac.uk/help.php","name":"Help Pages","type":"Help documentation"},{"url":"http://ncg.kcl.ac.uk/statistics.php","name":"Statistics","type":"Help documentation"},{"url":"http://ncg.kcl.ac.uk/citation.php","name":"Citations","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Network_of_Cancer_Genes","name":"Wikipedia page","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000074","bsg-d000074"],"name":"FAIRsharing record for: Network of Cancer Genes","abbreviation":"NCG","url":"https://fairsharing.org/10.25504/FAIRsharing.8gwskw","doi":"10.25504/FAIRsharing.8gwskw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Network of Cancer Genes (NCG) contains information on duplicability, evolution, protein-protein and microRNA-gene interaction, function, expression and essentiality of cancer genes from manually curated publications . NCG also provides information on the experimental validation that supports the role of these genes in cancer and annotates their properties (duplicability, evolutionary origin, expression profile, function and interactions with proteins and miRNAs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Evolutionary Biology","Biomedical Science"],"domains":["Expression data","Protein interaction","Function analysis","Cancer","Gene silencing by miRNA (microRNA)","High Throughput Screening","Whole genome sequencing","Micro RNA","Experimentally determined","Orthologous","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":108,"pubmed_id":21490719,"title":"Modification of gene duplicability during the evolution of protein interaction network.","year":2011,"url":"http://doi.org/10.1371/journal.pcbi.1002029","authors":"D'Antonio M., Ciccarelli FD.,","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1002029","created_at":"2021-09-30T08:22:31.997Z","updated_at":"2021-09-30T08:22:31.997Z"},{"id":421,"pubmed_id":19906700,"title":"Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes.","year":2009,"url":"http://doi.org/10.1093/nar/gkp957","authors":"Syed AS., D'Antonio M., Ciccarelli FD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp957","created_at":"2021-09-30T08:23:05.767Z","updated_at":"2021-09-30T08:23:05.767Z"},{"id":1593,"pubmed_id":18675489,"title":"Low duplicability and network fragility of cancer genes.","year":2008,"url":"http://doi.org/10.1016/j.tig.2008.06.003","authors":"Rambaldi D., Giorgi FM., Capuani F., Ciliberto A., Ciccarelli FD.,","journal":"Trends Genet.","doi":"10.1016/j.tig.2008.06.003","created_at":"2021-09-30T08:25:18.585Z","updated_at":"2021-09-30T08:25:18.585Z"},{"id":1947,"pubmed_id":26516186,"title":"NCG 5.0: updates of a manually curated repository of cancer genes and associated properties from cancer mutational screenings.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1123","authors":"An O,Dall'Olio GM,Mourikis TP,Ciccarelli FD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1123","created_at":"2021-09-30T08:25:59.079Z","updated_at":"2021-09-30T11:29:24.493Z"},{"id":2454,"pubmed_id":null,"title":"The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screens.","year":2018,"url":"https://doi.org/10.1101/389858","authors":"Dimitra Repana, Joel Nulsen, Lisa Dressler, Michele Bortolomeazzi, Santhilata Kuppili Venkata, Aikaterini Tourna, Anna Yakovleva, Tommaso Palmieri, View ORCID ProfileFrancesca D Ciccarelli","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:27:01.019Z","updated_at":"2021-09-30T11:28:40.203Z"}],"licence_links":[],"grants":[{"id":243,"fairsharing_record_id":1618,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:24:23.589Z","updated_at":"2021-09-30T09:24:23.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":244,"fairsharing_record_id":1618,"organisation_id":519,"relation":"maintains","created_at":"2021-09-30T09:24:23.619Z","updated_at":"2021-09-30T09:24:23.619Z","grant_id":null,"is_lead":true,"saved_state":{"id":519,"name":"Ciccarelli group, King's College London, United Kingdom","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1619","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:55:54.089Z","metadata":{"doi":"10.25504/FAIRsharing.k6a8e5","name":"Newt-omics","status":"deprecated","contacts":[{"contact_name":"Thomas Braun","contact_email":"Thomas.Braun@mpi-bn.mpg.de","contact_orcid":"0000-0002-6165-4804"}],"homepage":"http://newt-omics.mpi-bn.mpg.de","citations":[],"identifier":1619,"description":"A comprehensive repository for omics data from the red spotted newt Notophthalmus viridescens from high throughput experiments. Newt-Omics aims to provide a comprehensive platform of expressed genes during tissue regeneration, including extensive annotations, expression data and experimentally verified peptide sequences with yet no homology to other publically available gene sequences. The goal is to obtain a detailed understanding of the molecular processes underlying tissue regeneration in the newt,that may lead to the development of approaches, efficiently stimulating regenerative pathways in mammalians.","abbreviation":"Newt-omics","data_curation":{},"support_links":[{"url":"http://newt-omics.mpi-bn.mpg.de/tutorial.php","name":"Tutorial","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2022-05-18","deprecation_reason":"The resource homepage no longer exists, and a new project page cannot be found. Please get in touch with us if you have more information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000075","bsg-d000075"],"name":"FAIRsharing record for: Newt-omics","abbreviation":"Newt-omics","url":"https://fairsharing.org/10.25504/FAIRsharing.k6a8e5","doi":"10.25504/FAIRsharing.k6a8e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive repository for omics data from the red spotted newt Notophthalmus viridescens from high throughput experiments. Newt-Omics aims to provide a comprehensive platform of expressed genes during tissue regeneration, including extensive annotations, expression data and experimentally verified peptide sequences with yet no homology to other publically available gene sequences. The goal is to obtain a detailed understanding of the molecular processes underlying tissue regeneration in the newt,that may lead to the development of approaches, efficiently stimulating regenerative pathways in mammalians.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics"],"domains":["Gene Ontology enrichment","Annotation","Protein identification","Peptide","DNA sequencing assay","Transcript","Complementary DNA"],"taxonomies":["Notophthalmus viridescens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":112,"pubmed_id":20047682,"title":"Analysis of newly established EST databases reveals similarities between heart regeneration in newt and fish.","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-4","authors":"Borchardt T., Looso M., Bruckskotten M., Weis P., Kruse J., Braun T.,","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-4","created_at":"2021-09-30T08:22:32.465Z","updated_at":"2021-09-30T08:22:32.465Z"},{"id":619,"pubmed_id":23425577,"title":"A de novo assembly of the newt transcriptome combined with proteomic validation identifies new protein families expressed during tissue regeneration.","year":2013,"url":"http://doi.org/10.1186/gb-2013-14-2-r16","authors":"Looso M, Preussner J, Sousounis K, Bruckskotten M, Michel CS, Lignelli E, Reinhardt R, Höffner S, Krüger M, Tsonis PA, Borchardt T, Braun T","journal":"Genome Biol.","doi":"doi:10.1186/gb-2013-14-2-r16","created_at":"2021-09-30T08:23:28.128Z","updated_at":"2021-09-30T08:23:28.128Z"},{"id":1444,"pubmed_id":20139370,"title":"Advanced identification of proteins in uncharacterized proteomes by pulsed in vivo stable isotope labeling-based mass spectrometry.","year":2010,"url":"http://doi.org/10.1074/mcp.M900426-MCP200","authors":"Looso M., Borchardt T., Krüger M., Braun T.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M900426-MCP200","created_at":"2021-09-30T08:25:01.443Z","updated_at":"2021-09-30T08:25:01.443Z"}],"licence_links":[],"grants":[{"id":245,"fairsharing_record_id":1619,"organisation_id":1784,"relation":"funds","created_at":"2021-09-30T09:24:23.649Z","updated_at":"2021-09-30T09:24:23.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1784,"name":"Max-Planck-Institute for Heart and Lung Research (MPI-HLR), Nauheim, Germany.","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8987,"fairsharing_record_id":1619,"organisation_id":1784,"relation":"maintains","created_at":"2022-03-11T15:54:38.668Z","updated_at":"2022-03-11T15:54:38.668Z","grant_id":null,"is_lead":true,"saved_state":{"id":1784,"name":"Max-Planck-Institute for Heart and Lung Research (MPI-HLR), Nauheim, Germany.","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1600","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:10.035Z","metadata":{"doi":"10.25504/FAIRsharing.smqf7y","name":"InterEvol database","status":"ready","contacts":[{"contact_name":"Raphael Guerois - Coordinator","contact_email":"raphael.guerois@cea.fr"}],"homepage":"http://biodev.cea.fr/interevol/","citations":[],"identifier":1600,"description":"Evolution of protein-protein Interfaces InterEvol is a resource for researchers to investigate the structural interaction of protein molecules and sequences using a variety of tools and resources.","abbreviation":null,"data_curation":{"type":"automated"},"support_links":[{"url":"http://biodev.cea.fr/interevol/faq/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://biodev.cea.fr/interevol/help/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://biodev.cea.fr/interevol/pymol/pymol.html","name":" InterEvol PyMOL plugin"}],"data_access_condition":{"type":"open","notes":"This website is free and open to all users and there is no login requirement."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000055","bsg-d000055"],"name":"FAIRsharing record for: InterEvol database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.smqf7y","doi":"10.25504/FAIRsharing.smqf7y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Evolution of protein-protein Interfaces InterEvol is a resource for researchers to investigate the structural interaction of protein molecules and sequences using a variety of tools and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Multiple sequence alignment","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1443,"pubmed_id":null,"title":"InterEvol database: exploring the structure and evolution of protein complex interfaces","year":2012,"url":"https://doi.org/10.1093/nar/gkr845","authors":"Faure G, Andreani J, and Guerois R","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:25:01.341Z","updated_at":"2021-09-30T11:28:41.375Z"}],"licence_links":[{"licence_name":"InterEvol Legal Information","licence_id":932,"licence_url":"http://biodev.cea.fr/legal.htm","link_id":2668,"relation":"applies_to_content"}],"grants":[{"id":182,"fairsharing_record_id":1600,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:21.572Z","updated_at":"2021-09-30T09:24:21.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":183,"fairsharing_record_id":1600,"organisation_id":1057,"relation":"funds","created_at":"2021-09-30T09:24:21.595Z","updated_at":"2021-09-30T09:24:21.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":1057,"name":"French Alternative Energies and Atomic Energy Commission (CEA), Gif sur Yvette, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1602","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:08:22.514Z","metadata":{"doi":"10.25504/FAIRsharing.7xkx69","name":"Mechanism, Annotation and Classification in Enzymes","status":"deprecated","contacts":[{"contact_name":"Gemma L. Holliday","contact_email":"gemma@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/thornton-srv/databases/MACiE","identifier":1602,"description":"MACiE is an electronic database of well-characterised enzymatic reactions. MACiE is the result of more than three years' collaboration between the Mitchell and Murray-Rust groups in the Unilever Centre and Prof. Janet Thornton at the European Bioinformatics Institute. The database contains the reaction mechanisms for 100 individual enzymes; this includes the overall reactions and the multiple steps that constitute them.","abbreviation":"MACiE","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/MACiE/FAQ.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ebi.ac.uk/thornton-srv/databases/MACiE/documentation/index.html","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now obsolete and, together with CSA (https://fairsharing.org/FAIRsharing.2ajtcf), has formed the basis of the M-CSA resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000057","bsg-d000057"],"name":"FAIRsharing record for: Mechanism, Annotation and Classification in Enzymes","abbreviation":"MACiE","url":"https://fairsharing.org/10.25504/FAIRsharing.7xkx69","doi":"10.25504/FAIRsharing.7xkx69","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MACiE is an electronic database of well-characterised enzymatic reactions. MACiE is the result of more than three years' collaboration between the Mitchell and Murray-Rust groups in the Unilever Centre and Prof. Janet Thornton at the European Bioinformatics Institute. The database contains the reaction mechanisms for 100 individual enzymes; this includes the overall reactions and the multiple steps that constitute them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme Commission number","Reaction data","Molecular interaction","Enzymatic reaction","Enzyme"],"taxonomies":["All"],"user_defined_tags":["Chemical bond modification"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":90,"pubmed_id":16188925,"title":"MACiE: a database of enzyme reaction mechanisms.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti693","authors":"Holliday GL., Bartlett GJ., Almonacid DE., O'Boyle NM., Murray-Rust P., Thornton JM., Mitchell JB.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti693","created_at":"2021-09-30T08:22:30.280Z","updated_at":"2021-09-30T08:22:30.280Z"},{"id":104,"pubmed_id":17082206,"title":"MACiE (Mechanism, Annotation and Classification in Enzymes): novel tools for searching catalytic mechanisms.","year":2006,"url":"http://doi.org/10.1093/nar/gkl774","authors":"Holliday GL., Almonacid DE., Bartlett GJ., O'Boyle NM., Torrance JW., Murray-Rust P., Mitchell JB., Thornton JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl774","created_at":"2021-09-30T08:22:31.588Z","updated_at":"2021-09-30T08:22:31.588Z"}],"licence_links":[],"grants":[{"id":186,"fairsharing_record_id":1602,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:21.690Z","updated_at":"2021-09-30T09:24:21.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":187,"fairsharing_record_id":1602,"organisation_id":2914,"relation":"maintains","created_at":"2021-09-30T09:24:21.722Z","updated_at":"2021-09-30T09:24:21.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":2914,"name":"Unilever Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge Lensfield Road, Cambridge, CB2 1EW, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":188,"fairsharing_record_id":1602,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:21.755Z","updated_at":"2021-09-30T09:31:48.460Z","grant_id":1335,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/C51320X/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1603","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:55:51.183Z","metadata":{"doi":"10.25504/FAIRsharing.1ex4pm","name":"MAPPER-2","status":"deprecated","contacts":[{"contact_name":"Help desk","contact_email":"mapper-bugs@chip.org"}],"homepage":"http://genome.ufl.edu/mapperdb","identifier":1603,"description":"This resource provides information primarily on the upstream non-coding sequence data of genes in 3 genomes which gives insight into the transcription factors binding sites (TFBSs). For each transcript, the region scanned extends from 10,000bp upstream of the transcript start to 50bp downstream of the coding sequence start. Therefore, the database contains putative binding sites in the gene promoter and in the initial introns and non-coding exons. Information displayed for each putative binding site includes the transcription factor name, its position (absolute on the chromosome, or relative to the gene), the score of the prediction, and the region of the gene the site belongs to. If the selected gene has homologs in any of the other two organisms, the program optionally displays the putative TFBSs in the homologs.","abbreviation":"mapperdb","data_curation":{"type":"not found"},"year_creation":2005,"data_versioning":"yes","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000058","bsg-d000058"],"name":"FAIRsharing record for: MAPPER-2","abbreviation":"mapperdb","url":"https://fairsharing.org/10.25504/FAIRsharing.1ex4pm","doi":"10.25504/FAIRsharing.1ex4pm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource provides information primarily on the upstream non-coding sequence data of genes in 3 genomes which gives insight into the transcription factors binding sites (TFBSs). For each transcript, the region scanned extends from 10,000bp upstream of the transcript start to 50bp downstream of the coding sequence start. Therefore, the database contains putative binding sites in the gene promoter and in the initial introns and non-coding exons. Information displayed for each putative binding site includes the transcription factor name, its position (absolute on the chromosome, or relative to the gene), the score of the prediction, and the region of the gene the site belongs to. If the selected gene has homologs in any of the other two organisms, the program optionally displays the putative TFBSs in the homologs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Transcription factor","Exon","Intron","Genome"],"taxonomies":["Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":95,"pubmed_id":15799782,"title":"MAPPER: a search engine for the computational identification of putative transcription factor binding sites in multiple genomes.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-79","authors":"Marinescu VD., Kohane IS., Riva A.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-79","created_at":"2021-09-30T08:22:30.739Z","updated_at":"2021-09-30T08:22:30.739Z"},{"id":96,"pubmed_id":15608292,"title":"The MAPPER database: a multi-genome catalog of putative transcription factor binding sites.","year":2004,"url":"http://doi.org/10.1093/nar/gki103","authors":"Marinescu VD., Kohane IS., Riva A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki103","created_at":"2021-09-30T08:22:30.825Z","updated_at":"2021-09-30T08:22:30.825Z"}],"licence_links":[],"grants":[{"id":189,"fairsharing_record_id":1603,"organisation_id":3054,"relation":"funds","created_at":"2021-09-30T09:24:21.778Z","updated_at":"2021-09-30T09:24:21.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":3054,"name":"University of Florida","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":190,"fairsharing_record_id":1603,"organisation_id":3055,"relation":"maintains","created_at":"2021-09-30T09:24:21.805Z","updated_at":"2021-09-30T09:24:21.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1604","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:31:41.144Z","metadata":{"doi":"10.25504/FAIRsharing.a1rp4c","name":"MetaBase - The wiki-database of biological databases","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@metabase.net"}],"homepage":"http://www.Metabase.net","identifier":1604,"description":"MetaBase is the community-curated collection of all biological databases for use by the research community as a source of reliable information.","abbreviation":"MB","data_curation":{"type":"not found"},"year_creation":2007,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000059","bsg-d000059"],"name":"FAIRsharing record for: MetaBase - The wiki-database of biological databases","abbreviation":"MB","url":"https://fairsharing.org/10.25504/FAIRsharing.a1rp4c","doi":"10.25504/FAIRsharing.a1rp4c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaBase is the community-curated collection of all biological databases for use by the research community as a source of reliable information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Resource metadata"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Costa Rica","El Salvador","Honduras","Mexico","Nicaragua","Panama"],"publications":[{"id":2533,"pubmed_id":22139927,"title":"MetaBase--the wiki-database of biological databases.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1099","authors":"Bolser DM,Chibon PY,Palopoli N,Gong S,Jacob D,Del Angel VD,Swan D,Bassi S,Gonzalez V,Suravajhala P,Hwang S,Romano P,Edwards R,Bishop B,Eargle J,Shtatland T,Provart NJ,Clements D,Renfro DP,Bhak D,Bhak J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1099","created_at":"2021-09-30T08:27:10.749Z","updated_at":"2021-09-30T11:29:38.763Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1605","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:01.149Z","metadata":{"doi":"10.25504/FAIRsharing.wdbd3r","name":"MetaCrop 2.0","status":"ready","contacts":[{"contact_name":"Falk Schreiber","contact_email":"schreibe@ipk-gatersleben.de"}],"homepage":"http://metacrop.ipk-gatersleben.de","citations":[],"identifier":1605,"description":"The MetaCrop resource contains information on the major metabolic pathways mainly in crops of agricultural and economic importance. The database includes manually curated information on reactions and the kinetic data associated with these reactions. Ontology terms are used and publication identification available to ease mining the data.","abbreviation":"MetaCrop 2.0","data_curation":{"url":"https://metacrop.ipk-gatersleben.de/apex/f?p=269:2::::::","type":"manual"},"support_links":[{"url":"https://metacrop.ipk-gatersleben.de/apex/f?p=269:2::::::","name":"About","type":"Help documentation"},{"url":"https://metacrop.ipk-gatersleben.de/apex/METACROP.download_additional_file?file_id=12872411885275412","name":"Tutorial","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010123","name":"re3data:r3d100010123","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003100","name":"SciCrunch:RRID:SCR_003100","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000060","bsg-d000060"],"name":"FAIRsharing record for: MetaCrop 2.0","abbreviation":"MetaCrop 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.wdbd3r","doi":"10.25504/FAIRsharing.wdbd3r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MetaCrop resource contains information on the major metabolic pathways mainly in crops of agricultural and economic importance. The database includes manually curated information on reactions and the kinetic data associated with these reactions. Ontology terms are used and publication identification available to ease mining the data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Reaction data","Kinetic model","Cellular component","Biological process","Pathway model"],"taxonomies":["Arabidopsis thaliana","Beta vulgaris","Brassica napus","Hordeum vulgare","Medicago truncatula","Oryza sativa","Solanum tuberosum","Triticum aestivum","Zea mays"],"user_defined_tags":["Stoichiometry"],"countries":["Germany"],"publications":[{"id":85,"pubmed_id":17933764,"title":"MetaCrop: a detailed database of crop plant metabolism.","year":2007,"url":"http://doi.org/10.1093/nar/gkm835","authors":"Grafahrend-Belau E., Weise S., Koschützki D., Scholz U., Junker BH., Schreiber F.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm835","created_at":"2021-09-30T08:22:29.190Z","updated_at":"2021-09-30T08:22:29.190Z"},{"id":87,"pubmed_id":20375443,"title":"Novel developments of the MetaCrop information system for facilitating systems biological approaches.","year":2010,"url":"http://doi.org/10.2390/biecoll-jib-2010-125","authors":"Hippe K., Colmsee C., Czauderna T., Grafahrend-Belau E., Junker BH., Klukas C., Scholz U., Schreiber F., Weise S.,","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2010-125","created_at":"2021-09-30T08:22:29.997Z","updated_at":"2021-09-30T08:22:29.997Z"},{"id":1374,"pubmed_id":17059592,"title":"Meta-All: a system for managing metabolic pathway information.","year":2006,"url":"http://doi.org/10.1186/1471-2105-7-465","authors":"Weise S., Grosse I., Klukas C., Koschützki D., Scholz U., Schreiber F., Junker BH.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-465","created_at":"2021-09-30T08:24:53.685Z","updated_at":"2021-09-30T08:24:53.685Z"},{"id":2185,"pubmed_id":22086948,"title":"MetaCrop 2.0: managing and exploring information about crop plant metabolism.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1004","authors":"Schreiber F,Colmsee C,Czauderna T,Grafahrend-Belau E,Hartmann A,Junker A,Junker BH,Klapperstuck M,Scholz U,Weise S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1004","created_at":"2021-09-30T08:26:26.356Z","updated_at":"2021-09-30T11:29:30.795Z"}],"licence_links":[],"grants":[{"id":192,"fairsharing_record_id":1605,"organisation_id":1702,"relation":"maintains","created_at":"2021-09-30T09:24:21.855Z","updated_at":"2021-09-30T09:24:21.855Z","grant_id":null,"is_lead":false,"saved_state":{"id":1702,"name":"Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9367,"fairsharing_record_id":1605,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.511Z","updated_at":"2022-04-11T12:07:33.529Z","grant_id":1140,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0312706A","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1606","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:45:32.174Z","metadata":{"doi":"10.25504/FAIRsharing.bv0zjz","name":"Mimotope Database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"hj@uestc.edu.cn"}],"homepage":"http://immunet.cn/mimodb","identifier":1606,"description":"Mimotope database, active site-mimicking peptides selected from phage-display libraries. It is a database which stores information on peptides that have been selected from random peptide libraries based on their ability to bind small compounds, nucleic acids, proteins, cells, tissues, organs, and even entire organisms through phage display technology. Besides the peptide sequences, other information such as the corresponding target, template, library, and structures are also stored. All entries are manually extracted from published peer review articles and other public data sources such as Uniprot, GenBank and PDBSum.","abbreviation":"MimoDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://immunet.cn/bdb/index.php/site/contact","type":"Contact form"},{"url":"http://immunet.cn/mimodb/help.php","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","deprecation_date":"2021-02-08","deprecation_reason":"This resource is no longer available","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000062","bsg-d000062"],"name":"FAIRsharing record for: Mimotope Database","abbreviation":"MimoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bv0zjz","doi":"10.25504/FAIRsharing.bv0zjz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mimotope database, active site-mimicking peptides selected from phage-display libraries. It is a database which stores information on peptides that have been selected from random peptide libraries based on their ability to bind small compounds, nucleic acids, proteins, cells, tissues, organs, and even entire organisms through phage display technology. Besides the peptide sequences, other information such as the corresponding target, template, library, and structures are also stored. All entries are manually extracted from published peer review articles and other public data sources such as Uniprot, GenBank and PDBSum.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Peptide library","Target"],"taxonomies":["All"],"user_defined_tags":["Template library"],"countries":["China"],"publications":[{"id":98,"pubmed_id":21079566,"title":"MimoDB: a new repository for mimotope data derived from phage display technology.","year":2010,"url":"http://doi.org/10.3390/molecules15118279","authors":"Ru B., Huang J., Dai P., Li S., Xia Z., Ding H., Lin H., Guo F., Wang X.,","journal":"Molecules","doi":"10.3390/molecules15118279","created_at":"2021-09-30T08:22:31.030Z","updated_at":"2021-09-30T08:22:31.030Z"},{"id":754,"pubmed_id":22053087,"title":"MimoDB 2.0: a mimotope database and beyond.","year":2011,"url":"http://doi.org/10.1093/nar/gkr922","authors":"Huang J,Ru B,Zhu P,Nie F,Yang J,Wang X,Dai P,Lin H,Guo FB,Rao N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr922","created_at":"2021-09-30T08:23:43.019Z","updated_at":"2021-09-30T11:28:49.934Z"},{"id":1863,"pubmed_id":26503249,"title":"BDB: biopanning data bank.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1100","authors":"He B,Chai G,Duan Y,Yan Z,Qiu L,Zhang H,Liu Z,He Q,Han K,Ru B,Guo FB,Ding H,Lin H,Wang X,Rao N,Zhou P,Huang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1100","created_at":"2021-09-30T08:25:49.345Z","updated_at":"2021-09-30T11:29:21.568Z"}],"licence_links":[],"grants":[{"id":194,"fairsharing_record_id":1606,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:21.927Z","updated_at":"2021-09-30T09:29:48.079Z","grant_id":410,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"61071177","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":195,"fairsharing_record_id":1606,"organisation_id":2525,"relation":"funds","created_at":"2021-09-30T09:24:21.966Z","updated_at":"2021-09-30T09:31:33.435Z","grant_id":1223,"is_lead":false,"saved_state":{"id":2525,"name":"Scientific Research Foundation of UESTC for Youth","grant":"JX0769","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8163,"fairsharing_record_id":1606,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:16.918Z","updated_at":"2021-09-30T09:31:16.960Z","grant_id":1100,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30600138","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1607","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:39.851Z","metadata":{"doi":"10.25504/FAIRsharing.wqtfkv","name":"MINAS - A Database of Metal Ions in Nucleic AcidS","status":"uncertain","contacts":[{"contact_name":"Joachim Schnabl","contact_email":"joachim.schnabl@aci.uzh.ch","contact_orcid":"0000-0003-2452-9892"}],"homepage":"http://www.minas.uzh.ch","citations":[],"identifier":1607,"description":"MINAS contains the exact geometric information on the first and second-shell coordinating ligands of every metal ion present in nucleic acid structures that are deposited in the PDB and NDB. Containing also the sequence information of the binding pocket-proximal nucleotides, this database allows for a detailed search of all combinations of potential ligands and of coordination environments of metal ions. MINAS is therefore a perfect new tool to classify metal ion binding pockets in nucleic acids by statistics and to draw general conclusions about the different coordination properties of these ions. This record has been marked as Uncertain because the homepage for this resource is no longer active, and we have not been able to get in touch with the owners of the resource. Please contact us if you have any information regarding MINAS.","abbreviation":"MINAS","data_curation":{"type":"manual"},"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000063","bsg-d000063"],"name":"FAIRsharing record for: MINAS - A Database of Metal Ions in Nucleic AcidS","abbreviation":"MINAS","url":"https://fairsharing.org/10.25504/FAIRsharing.wqtfkv","doi":"10.25504/FAIRsharing.wqtfkv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINAS contains the exact geometric information on the first and second-shell coordinating ligands of every metal ion present in nucleic acid structures that are deposited in the PDB and NDB. Containing also the sequence information of the binding pocket-proximal nucleotides, this database allows for a detailed search of all combinations of potential ligands and of coordination environments of metal ions. MINAS is therefore a perfect new tool to classify metal ion binding pockets in nucleic acids by statistics and to draw general conclusions about the different coordination properties of these ions. This record has been marked as Uncertain because the homepage for this resource is no longer active, and we have not been able to get in touch with the owners of the resource. Please contact us if you have any information regarding MINAS.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11759}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science"],"domains":["Atomic coordinate","Deoxyribonucleic acid","Ligand","Metal ion binding","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":102,"pubmed_id":20047851,"title":"Controlling ribozyme activity by metal ions.","year":2010,"url":"http://doi.org/10.1016/j.cbpa.2009.11.024","authors":"Schnabl J., Sigel RK.,","journal":"Curr Opin Chem Biol","doi":"10.1016/j.cbpa.2009.11.024","created_at":"2021-09-30T08:22:31.414Z","updated_at":"2021-09-30T08:22:31.414Z"},{"id":2282,"pubmed_id":null,"title":"Digitoxin metabolism by rat liver microsomes.","year":1975,"url":"http://doi.org/DOI:10.1016/j.ccr.2007.03.008","authors":"Schmoldt A., Benthe HF., Haberland G.,","journal":"Biochem. Pharmacol.","doi":"DOI:10.1016/j.ccr.2007.03.008","created_at":"2021-09-30T08:26:37.992Z","updated_at":"2021-09-30T08:26:37.992Z"}],"licence_links":[],"grants":[{"id":197,"fairsharing_record_id":1607,"organisation_id":690,"relation":"maintains","created_at":"2021-09-30T09:24:22.044Z","updated_at":"2021-09-30T09:24:22.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":690,"name":"Department of Chemistry (UZH Chemistry), University of Zurich, Zurich, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":196,"fairsharing_record_id":1607,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:24:22.002Z","updated_at":"2021-09-30T09:31:46.101Z","grant_id":1318,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"RKOS PP002-68733/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1608","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:27:35.536Z","metadata":{"doi":"10.25504/FAIRsharing.cjk54e","name":"Minimotif Miner 3.0","status":"deprecated","contacts":[{"contact_name":"Tian Mi","contact_email":"tian.mi@engr.uconn.edu"}],"homepage":"http://minimotifminer.org","citations":[],"identifier":1608,"description":"A database of short functional motifs involved in posttranslational modifications, binding to other proteins, nucleic acids, or small molecules.","abbreviation":"MnM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bio-toolkit.com/Minimotif%20Miner/screen_cast/","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Minimotif_Miner","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2022-06-30","deprecation_reason":"The project homepage is no longer valid, and an alternative cannot be found. Please get in touch with us if you have any questions.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000064","bsg-d000064"],"name":"FAIRsharing record for: Minimotif Miner 3.0","abbreviation":"MnM","url":"https://fairsharing.org/10.25504/FAIRsharing.cjk54e","doi":"10.25504/FAIRsharing.cjk54e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database of short functional motifs involved in posttranslational modifications, binding to other proteins, nucleic acids, or small molecules.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["PTM site prediction","Protein interaction","Protein modification","Protein","Sequence"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":47,"pubmed_id":20808856,"title":"Partitioning of minimotifs based on function with improved prediction accuracy.","year":2010,"url":"http://doi.org/10.1371/journal.pone.0012276","authors":"Rajasekaran S., Mi T., Merlin JC., Oommen A., Gradie P., Schiller MR.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0012276","created_at":"2021-09-30T08:22:25.438Z","updated_at":"2021-09-30T08:22:25.438Z"},{"id":88,"pubmed_id":16489333,"title":"Minimotif Miner: a tool for investigating protein function.","year":2006,"url":"http://doi.org/10.1038/nmeth856","authors":"Balla S., Thapar V., Verma S., Luong T., Faghri T., Huang CH., Rajasekaran S., del Campo JJ., Shinn JH., Mohler WA., Maciejewski MW., Gryk MR., Piccirillo B., Schiller SR., Schiller MR.,","journal":"Nat. Methods","doi":"10.1038/nmeth856","created_at":"2021-09-30T08:22:30.089Z","updated_at":"2021-09-30T08:22:30.089Z"},{"id":89,"pubmed_id":18429315,"title":"Minimotif miner: a computational tool to investigate protein function, disease, and genetic diversity.","year":2008,"url":"http://doi.org/10.1002/0471140864.ps0212s48","authors":"Schiller MR.,","journal":"Curr Protoc Protein Sci","doi":"10.1002/0471140864.ps0212s48","created_at":"2021-09-30T08:22:30.183Z","updated_at":"2021-09-30T08:22:30.183Z"},{"id":93,"pubmed_id":18508672,"title":"Viral infection and human disease--insights from minimotifs.","year":2008,"url":"http://doi.org/10.2741/3166","authors":"Kadaveru K., Vyas J., Schiller MR.,","journal":"Front. Biosci.","doi":"10.2741/3166","created_at":"2021-09-30T08:22:30.555Z","updated_at":"2021-09-30T08:22:30.555Z"},{"id":94,"pubmed_id":19656396,"title":"A proposed syntax for Minimotif Semantics, version 1.","year":2009,"url":"http://doi.org/10.1186/1471-2164-10-360","authors":"Vyas J., Nowling RJ., Maciejewski MW., Rajasekaran S., Gryk MR., Schiller MR.,","journal":"BMC Genomics","doi":"10.1186/1471-2164-10-360","created_at":"2021-09-30T08:22:30.646Z","updated_at":"2021-09-30T08:22:30.646Z"},{"id":110,"pubmed_id":20938975,"title":"A computational tool for identifying minimotifs in protein-protein interactions and improving the accuracy of minimotif predictions.","year":2010,"url":"http://doi.org/10.1002/prot.22868","authors":"Rajasekaran S., Merlin JC., Kundeti V., Mi T., Oommen A., Vyas J., Alaniz I., Chung K., Chowdhury F., Deverasatty S., Irvey TM., Lacambacal D., Lara D., Panchangam S., Rathnayake V., Watts P., Schiller MR.,","journal":"Proteins","doi":"10.1002/prot.22868","created_at":"2021-09-30T08:22:32.181Z","updated_at":"2021-09-30T08:22:32.181Z"},{"id":748,"pubmed_id":22146221,"title":"Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences","year":2011,"url":"http://doi.org/10.1093/nar/gkr1189","authors":"Mi T, Merlin JC, Deverasetty S, Gryk MR, Bill TJ, Brooks AW, Lee LY, Rathnayake V, Ross CA, Sargeant DP, Strong CL, Watts P, Rajasekaran S, Schiller MR.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1189","created_at":"2021-09-30T08:23:42.370Z","updated_at":"2021-09-30T08:23:42.370Z"},{"id":1389,"pubmed_id":18978024,"title":"Minimotif miner 2nd release: a database and web system for motif search.","year":2008,"url":"http://doi.org/10.1093/nar/gkn865","authors":"Rajasekaran S., Balla S., Gradie P., Gryk MR., Kadaveru K., Kundeti V., Maciejewski MW., Mi T., Rubino N., Vyas J., Schiller MR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn865","created_at":"2021-09-30T08:24:55.276Z","updated_at":"2021-09-30T08:24:55.276Z"},{"id":1390,"pubmed_id":16328946,"title":"High-performance exact algorithms for motif search.","year":2005,"url":"http://doi.org/10.1007/s10877-005-0677-y","authors":"Rajasekaran S., Balla S., Huang CH., Thapar V., Gryk M., Maciejewski M., Schiller M.,","journal":"J Clin Monit Comput","doi":"10.1007/s10877-005-0677-y","created_at":"2021-09-30T08:24:55.376Z","updated_at":"2021-09-30T08:24:55.376Z"}],"licence_links":[{"licence_name":"MIRTAR is free for academic and non-profit use","licence_id":516,"licence_url":"http://mirtarbase.mbc.nctu.edu.tw/cache/download/LICENSE","link_id":140,"relation":"undefined"}],"grants":[{"id":200,"fairsharing_record_id":1608,"organisation_id":3045,"relation":"maintains","created_at":"2021-09-30T09:24:22.156Z","updated_at":"2021-09-30T09:24:22.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":3045,"name":"University of Connecticut, Connecticut, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":198,"fairsharing_record_id":1608,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:22.085Z","updated_at":"2021-09-30T09:24:22.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":199,"fairsharing_record_id":1608,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:22.123Z","updated_at":"2021-09-30T09:24:22.123Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":201,"fairsharing_record_id":1608,"organisation_id":3046,"relation":"maintains","created_at":"2021-09-30T09:24:22.180Z","updated_at":"2021-09-30T09:24:22.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":3046,"name":"University of Connecticut Health Center, Farmington, Connecticut, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":202,"fairsharing_record_id":1608,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:22.205Z","updated_at":"2021-09-30T09:30:12.488Z","grant_id":599,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM079689-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1620","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:19.720Z","metadata":{"doi":"10.25504/FAIRsharing.hmb1f4","name":"NONCODE","status":"uncertain","contacts":[{"contact_email":"biozy@ict.ac.cn"}],"homepage":"http://www.noncode.org","citations":[{"doi":"10.1093/nar/gkx1107","pubmed_id":29140524,"publication_id":2814}],"identifier":1620,"description":"NONCODE is a database of noncoding RNAs (except tRNAs and rRNAs), including long noncoding (lnc) RNAs. Information contained within the database includes human lncRNA–disease relationships and single nucleotide polymorphism-lncRNA–disease relationships; human exosome lncRNA expression profiles; and predicted RNA secondary structures of human transcripts. This resource has not been updated since 2017, and therefore its status has been marked as Uncertain. Please get in touch if you have any information about the current status of this resource.","abbreviation":"NONCODE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"rschen@ibp.ac.cn","name":"RunSheng Chen","type":"Support email"},{"url":"http://www.noncode.org/faq.php","name":"NONCODE FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.noncode.org/analysis.php","name":"Statistics","type":"Help documentation"},{"url":"http://www.noncode.org/introduce.php","name":"General Documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/NONCODE","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"http://www.noncode.org/blast.php","name":"BLAST"},{"url":"http://www.noncode.org/id_conversion.php","name":"ID Convertor"},{"url":"http://www.noncode.org/iLncRNA.php","name":"iLncRNA (Idenfication)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012169","name":"re3data:r3d100012169","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007822","name":"SciCrunch:RRID:SCR_007822","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000076","bsg-d000076"],"name":"FAIRsharing record for: NONCODE","abbreviation":"NONCODE","url":"https://fairsharing.org/10.25504/FAIRsharing.hmb1f4","doi":"10.25504/FAIRsharing.hmb1f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NONCODE is a database of noncoding RNAs (except tRNAs and rRNAs), including long noncoding (lnc) RNAs. Information contained within the database includes human lncRNA–disease relationships and single nucleotide polymorphism-lncRNA–disease relationships; human exosome lncRNA expression profiles; and predicted RNA secondary structures of human transcripts. This resource has not been updated since 2017, and therefore its status has been marked as Uncertain. Please get in touch if you have any information about the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12587}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics"],"domains":["RNA secondary structure","Expression data","RNA sequence","Function analysis","Gene expression","Extracellular exosome","Long non-coding ribonucleic acid","Non-coding RNA","Long non-coding RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":111,"pubmed_id":15608158,"title":"NONCODE: an integrated knowledge database of non-coding RNAs.","year":2004,"url":"http://doi.org/10.1093/nar/gki041","authors":"Liu C., Bai B., Skogerbø G., Cai L., Deng W., Zhang Y., Bu D., Zhao Y., Chen R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki041","created_at":"2021-09-30T08:22:32.282Z","updated_at":"2021-09-30T08:22:32.282Z"},{"id":114,"pubmed_id":18000000,"title":"NONCODE v2.0: decoding the non-coding.","year":2007,"url":"http://doi.org/10.1093/nar/gkm1011","authors":"He S., Liu C., Skogerbø G., Zhao H., Wang J., Liu T., Bai B., Zhao Y., Chen R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm1011","created_at":"2021-09-30T08:22:32.673Z","updated_at":"2021-09-30T08:22:32.673Z"},{"id":2813,"pubmed_id":26586799,"title":"NONCODE 2016: an informative and valuable data source of long non-coding RNAs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1252","authors":"Zhao Y,Li H,Fang S,Kang Y,Wu W,Hao Y,Li Z,Bu D,Sun N,Zhang MQ,Chen R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1252","created_at":"2021-09-30T08:27:45.894Z","updated_at":"2021-09-30T11:29:45.820Z"},{"id":2814,"pubmed_id":29140524,"title":"NONCODEV5: a comprehensive annotation database for long non-coding RNAs.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1107","authors":"Fang S,Zhang L,Guo J,Niu Y,Wu Y,Li H,Zhao L,Li X,Teng X,Sun X,Sun L,Zhang MQ,Chen R,Zhao Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1107","created_at":"2021-09-30T08:27:46.010Z","updated_at":"2021-09-30T11:29:46.019Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":692,"relation":"undefined"}],"grants":[{"id":249,"fairsharing_record_id":1620,"organisation_id":244,"relation":"maintains","created_at":"2021-09-30T09:24:23.783Z","updated_at":"2021-09-30T09:24:23.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":244,"name":"Bioinformatics Laboratory, Institute of Biophysics, Chinese Academy of Sciences (CAS), Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":247,"fairsharing_record_id":1620,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:23.707Z","updated_at":"2021-09-30T09:29:11.411Z","grant_id":132,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2014AA021103","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":248,"fairsharing_record_id":1620,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:23.751Z","updated_at":"2021-09-30T09:30:37.356Z","grant_id":794,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA01020402","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":251,"fairsharing_record_id":1620,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:24:23.839Z","updated_at":"2021-09-30T09:24:23.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":250,"fairsharing_record_id":1620,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:23.815Z","updated_at":"2021-09-30T09:30:28.573Z","grant_id":727,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"91229120","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8021,"fairsharing_record_id":1620,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:26.495Z","updated_at":"2021-09-30T09:30:26.541Z","grant_id":712,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2014AA021502","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1621","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:21.963Z","metadata":{"doi":"10.25504/FAIRsharing.8ecbxx","name":"NucleaRDB","status":"deprecated","contacts":[{"contact_name":"Florence Horn","contact_email":"horn@cmpharm.ucsf.edu"}],"homepage":"http://www.receptors.org/nucleardb","identifier":1621,"description":"Families of nuclear hormone receptors","abbreviation":"NucleaRDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://en.wikipedia.org/wiki/NucleaRDB","type":"Wikipedia"}],"year_creation":2000,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000077","bsg-d000077"],"name":"FAIRsharing record for: NucleaRDB","abbreviation":"NucleaRDB","url":"https://fairsharing.org/10.25504/FAIRsharing.8ecbxx","doi":"10.25504/FAIRsharing.8ecbxx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Families of nuclear hormone receptors","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science"],"domains":["Sequence annotation","Multiple sequence alignment","Ligand binding domain binding","Mutation analysis","Nuclear receptor","Structure","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":119,"pubmed_id":11125133,"title":"Collecting and harvesting biological data: the GPCRDB and NucleaRDB information systems.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.346","authors":"Horn F., Vriend G., Cohen FE.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.346","created_at":"2021-09-30T08:22:33.155Z","updated_at":"2021-09-30T08:22:33.155Z"},{"id":875,"pubmed_id":22064856,"title":"NucleaRDB: information system for nuclear receptors.","year":2011,"url":"http://doi.org/10.1093/nar/gkr960","authors":"Vroling B,Thorne D,McDermott P,Joosten HJ,Attwood TK,Pettifer S,Vriend G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr960","created_at":"2021-09-30T08:23:56.618Z","updated_at":"2021-09-30T11:28:54.542Z"}],"licence_links":[],"grants":[{"id":253,"fairsharing_record_id":1621,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:23.890Z","updated_at":"2021-09-30T09:30:17.021Z","grant_id":636,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"11371016","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7997,"fairsharing_record_id":1621,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:18.677Z","updated_at":"2021-09-30T09:30:18.723Z","grant_id":650,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"11301194","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":252,"fairsharing_record_id":1621,"organisation_id":3035,"relation":"maintains","created_at":"2021-09-30T09:24:23.865Z","updated_at":"2021-09-30T09:24:23.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":3035,"name":"University of California, San Francisco, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1622","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:03.242Z","metadata":{"doi":"10.25504/FAIRsharing.hsy066","name":"Online GEne Essentiality database","status":"ready","contacts":[{"contact_name":"Wei-Hua Chen","contact_email":"weihuachen@hust.edu.cn"}],"homepage":"https://v3.ogee.info/#/home","citations":[],"identifier":1622,"description":"OGEE is an Online GEne Essentiality database. Gene essentiality is not a static and binary property, rather a context-dependent and evolvable property in all forms of life. In OGEE, we collect not only experimentally tested essential and non-essential genes, but also associated gene properties that contributes to gene essentiality.","abbreviation":"OGEE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://v3.ogee.info/#/help","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000078","bsg-d000078"],"name":"FAIRsharing record for: Online GEne Essentiality database","abbreviation":"OGEE","url":"https://fairsharing.org/10.25504/FAIRsharing.hsy066","doi":"10.25504/FAIRsharing.hsy066","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OGEE is an Online GEne Essentiality database. Gene essentiality is not a static and binary property, rather a context-dependent and evolvable property in all forms of life. In OGEE, we collect not only experimentally tested essential and non-essential genes, but also associated gene properties that contributes to gene essentiality.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12588}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Text mining","Publication","Curated information"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":1805,"pubmed_id":27799467,"title":"OGEE v2: an update of the online gene essentiality database with special focus on differentially essential genes in human cancer cell lines.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1013","authors":"Chen WH,Lu G,Chen X,Zhao XM,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1013","created_at":"2021-09-30T08:25:42.653Z","updated_at":"2021-09-30T11:29:21.002Z"},{"id":3338,"pubmed_id":null,"title":"OGEE v3: Online GEne Essentiality database with increased coverage of organisms and human cell lines","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa884","authors":"Gurumayum, Sanathoi; Jiang, Puzi; Hao, Xiaowen; Campos, Tulio L; Young, Neil D; Korhonen, Pasi K; Gasser, Robin B; Bork, Peer; Zhao, Xing-Ming; He, Li-jie; Chen, Wei-Hua; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa884","created_at":"2022-04-29T14:18:11.212Z","updated_at":"2022-04-29T14:18:11.212Z"},{"id":3339,"pubmed_id":null,"title":"OGEE: an online gene essentiality database","year":2011,"url":"http://dx.doi.org/10.1093/nar/gkr986","authors":"Chen, Wei-Hua; Minguez, Pablo; Lercher, Martin J.; Bork, Peer; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr986","created_at":"2022-04-29T14:18:48.480Z","updated_at":"2022-04-29T14:18:48.480Z"}],"licence_links":[],"grants":[{"id":9478,"fairsharing_record_id":1622,"organisation_id":3497,"relation":"maintains","created_at":"2022-04-29T14:21:03.431Z","updated_at":"2022-04-29T14:21:03.431Z","grant_id":null,"is_lead":true,"saved_state":{"id":3497,"name":"College of Life Science, Henan Normal University","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1609","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:25:54.457Z","metadata":{"doi":"10.25504/FAIRsharing.2bdvmk","name":"Molecular INTeraction Database","status":"ready","contacts":[{"contact_name":"Luana Licata","contact_email":"luana.licata@gmail.com","contact_orcid":"0000-0001-5084-9000"}],"homepage":"http://mint.bio.uniroma2.it","citations":[{"doi":"10.1093/nar/gkr930","pubmed_id":22096227,"publication_id":1747}],"identifier":1609,"description":"MINT focuses on experimentally verified protein-protein interactions mined from the scientific literature by expert curators. This resource uses the IntAct database framework to help reduce the effort of scientists and improve on IT development. MINT is an ELIXIR Core Resource.","abbreviation":"MINT","data_curation":{"type":"manual"},"support_links":[{"url":"mint@mint.bio.uniroma2.it","name":"MINT Helpdesk","type":"Support email"},{"url":"https://mint.bio.uniroma2.it/index.php/statistics/","name":"Statistics","type":"Help documentation"},{"url":"https://mint.bio.uniroma2.it/index.php/sample-page/","name":"About MINT","type":"Help documentation"},{"url":"https://twitter.com/MINT_database","type":"Twitter"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://www.ebi.ac.uk/Tools/webservices/psicquic/view/main.xhtml","name":"PSICQUIC"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010414","name":"re3data:r3d100010414","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001523","name":"SciCrunch:RRID:SCR_001523","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000065","bsg-d000065"],"name":"FAIRsharing record for: Molecular INTeraction Database","abbreviation":"MINT","url":"https://fairsharing.org/10.25504/FAIRsharing.2bdvmk","doi":"10.25504/FAIRsharing.2bdvmk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINT focuses on experimentally verified protein-protein interactions mined from the scientific literature by expert curators. This resource uses the IntAct database framework to help reduce the effort of scientists and improve on IT development. MINT is an ELIXIR Core Resource.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11212},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11321},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11831},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12155},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13375}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein interaction","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":262,"pubmed_id":11911893,"title":"MINT: a Molecular INTeraction database.","year":2002,"url":"http://doi.org/10.1016/s0014-5793(01)03293-8","authors":"Zanzoni A., Montecchi-Palazzi L., Quondam M., Ausiello G., Helmer-Citterich M., Cesareni G.,","journal":"FEBS Lett.","doi":"10.1016/s0014-5793(01)03293-8","created_at":"2021-09-30T08:22:48.303Z","updated_at":"2021-09-30T08:22:48.303Z"},{"id":264,"pubmed_id":17135203,"title":"MINT: the Molecular INTeraction database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl950","authors":"Chatr-aryamontri A., Ceol A., Palazzi LM., Nardelli G., Schneider MV., Castagnoli L., Cesareni G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl950","created_at":"2021-09-30T08:22:48.541Z","updated_at":"2021-09-30T08:22:48.541Z"},{"id":918,"pubmed_id":19897547,"title":"MINT, the molecular interaction database: 2009 update.","year":2009,"url":"http://doi.org/10.1093/nar/gkp983","authors":"Ceol A., Chatr Aryamontri A., Licata L., Peluso D., Briganti L., Perfetto L., Castagnoli L., Cesareni G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp983","created_at":"2021-09-30T08:24:01.371Z","updated_at":"2021-09-30T08:24:01.371Z"},{"id":1747,"pubmed_id":22096227,"title":"MINT, the molecular interaction database: 2012 update.","year":2011,"url":"http://doi.org/10.1093/nar/gkr930","authors":"Licata L,Briganti L,Peluso D,Perfetto L,Iannuccelli M,Galeota E,Sacco F,Palma A,Nardozza AP,Santonico E,Castagnoli L,Cesareni G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr930","created_at":"2021-09-30T08:25:36.060Z","updated_at":"2021-09-30T11:29:19.669Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.5 Generic (CC BY 2.5)","licence_id":161,"licence_url":"https://creativecommons.org/licenses/by/2.5/","link_id":149,"relation":"undefined"}],"grants":[{"id":206,"fairsharing_record_id":1609,"organisation_id":1316,"relation":"maintains","created_at":"2021-09-30T09:24:22.343Z","updated_at":"2021-09-30T09:24:22.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":1316,"name":"IMex Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":209,"fairsharing_record_id":1609,"organisation_id":844,"relation":"maintains","created_at":"2021-09-30T09:24:22.465Z","updated_at":"2021-09-30T09:24:22.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":204,"fairsharing_record_id":1609,"organisation_id":679,"relation":"maintains","created_at":"2021-09-30T09:24:22.262Z","updated_at":"2021-09-30T09:24:22.262Z","grant_id":null,"is_lead":true,"saved_state":{"id":679,"name":"Department of Biology, University of Rome Tor Vergata, Rome, Italy","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":208,"fairsharing_record_id":1609,"organisation_id":946,"relation":"funds","created_at":"2021-09-30T09:24:22.427Z","updated_at":"2021-09-30T09:24:22.427Z","grant_id":null,"is_lead":false,"saved_state":{"id":946,"name":"European Network of Excellence (ENFIN), Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":203,"fairsharing_record_id":1609,"organisation_id":1565,"relation":"funds","created_at":"2021-09-30T09:24:22.229Z","updated_at":"2021-09-30T09:29:32.470Z","grant_id":291,"is_lead":false,"saved_state":{"id":1565,"name":"Italian Association for Cancer Research (AIRC), Milan, Italy","grant":"10360","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":207,"fairsharing_record_id":1609,"organisation_id":961,"relation":"funds","created_at":"2021-09-30T09:24:22.386Z","updated_at":"2021-09-30T09:30:13.695Z","grant_id":609,"is_lead":false,"saved_state":{"id":961,"name":"European Union FP6 Interaction Proteome project","grant":"QLRI-CT-2000-00127","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9051,"fairsharing_record_id":1609,"organisation_id":2727,"relation":"funds","created_at":"2022-03-28T14:16:27.546Z","updated_at":"2022-03-28T14:16:27.546Z","grant_id":539,"is_lead":false,"saved_state":{"id":2727,"name":"Telethon Foundation","grant":"GGP09243","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWtFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--510c15975dc1230980be8f18f0a605fb9b71ac9f/cropped-mint-1-e1509905882312.png?disposition=inline","exhaustive_licences":false}},{"id":"1610","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:25.264Z","metadata":{"doi":"10.25504/FAIRsharing.yd76dk","name":"Major Intrinsic Proteins Modification Database","status":"ready","contacts":[{"contact_name":"R. SankaraRamakrishnan","contact_email":"rsankar@iitk.ac.in"}],"homepage":"http://bioinfo.iitk.ac.in/MIPModDB/","citations":[{"doi":"10.1093/nar/gkr914","pubmed_id":22080560,"publication_id":2418}],"identifier":1610,"description":"This is a database of comparative protein structure models of the MIP (Major Intrinsic Protein) family of proteins. The MIPs have been identified from the completed genome sequence of organisms available at NCBI.","abbreviation":"MIPModDB","data_curation":{"url":"http://bioinfo.iitk.ac.in/MIPModDB/index.html","type":"automated","notes":"The structural models of MIP proteins were created by defined protocol."},"support_links":[{"url":"http://bioinfo.iitk.ac.in/MIPModDB/feedback.html","name":"Contact Form","type":"Contact form"},{"url":"http://bioinfo.iitk.ac.in/MIPModDB/help.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://bioinfo.iitk.ac.in/MIPModDB/statistics.php","name":"Statistics","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/MIPModDB","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":2007,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000066","bsg-d000066"],"name":"FAIRsharing record for: Major Intrinsic Proteins Modification Database","abbreviation":"MIPModDB","url":"https://fairsharing.org/10.25504/FAIRsharing.yd76dk","doi":"10.25504/FAIRsharing.yd76dk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a database of comparative protein structure models of the MIP (Major Intrinsic Protein) family of proteins. The MIPs have been identified from the completed genome sequence of organisms available at NCBI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenetics","Life Science"],"domains":["Structure-based sequence alignment","Gene feature","Gene","Homologous"],"taxonomies":["All"],"user_defined_tags":["Channel radius profile","NPA substitution","Selectively filter residues"],"countries":["India"],"publications":[{"id":1317,"pubmed_id":19930558,"title":"Genome-wide analysis of major intrinsic proteins in the tree plant Populus trichocarpa: characterization of XIP subfamily of aquaporins from evolutionary perspective.","year":2009,"url":"http://doi.org/10.1186/1471-2229-9-134","authors":"Gupta AB., Sankararamakrishnan R.,","journal":"BMC Plant Biol.","doi":"10.1186/1471-2229-9-134","created_at":"2021-09-30T08:24:47.126Z","updated_at":"2021-09-30T08:24:47.126Z"},{"id":1948,"pubmed_id":17445256,"title":"Homology modeling of major intrinsic proteins in rice, maize and Arabidopsis: comparative analysis of transmembrane helix association and aromatic/arginine selectivity filters.","year":2007,"url":"http://doi.org/10.1186/1472-6807-7-27","authors":"Bansal A., Sankararamakrishnan R.,","journal":"BMC Struct. Biol.","doi":"10.1186/1472-6807-7-27","created_at":"2021-09-30T08:25:59.180Z","updated_at":"2021-09-30T08:25:59.180Z"},{"id":2418,"pubmed_id":22080560,"title":"MIPModDB: a central resource for the superfamily of major intrinsic proteins.","year":2011,"url":"http://doi.org/10.1093/nar/gkr914","authors":"Gupta AB,Verma RK,Agarwal V,Vajpai M,Bansal V,Sankararamakrishnan R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr914","created_at":"2021-09-30T08:26:56.750Z","updated_at":"2021-09-30T11:29:35.444Z"}],"licence_links":[],"grants":[{"id":210,"fairsharing_record_id":1610,"organisation_id":1335,"relation":"maintains","created_at":"2021-09-30T09:24:22.498Z","updated_at":"2021-09-30T09:24:22.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":1335,"name":"Indian Institute of Technology Kanpur, India","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1611","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:22.765Z","metadata":{"doi":"10.25504/FAIRsharing.q3b39v","name":"mirEX","status":"ready","contacts":[{"contact_name":"Zofia Szweykowska-Kulinska","contact_email":"zofszwey@amu.edu.pl"}],"homepage":"http://www.comgen.pl/mirex/","citations":[],"identifier":1611,"description":"mirEX2 is a comprehensive platform for comparative analysis of primary microRNA expression data. RT–qPCR-based gene expression profiles are stored in a universal and expandable database scheme and wrapped by an intuitive user-friendly interface.","abbreviation":"mirEX","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.combio.pl/mirex2/contact/","type":"Contact form"},{"url":"https://en.wikipedia.org/wiki/Mirex","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000067","bsg-d000067"],"name":"FAIRsharing record for: mirEX","abbreviation":"mirEX","url":"https://fairsharing.org/10.25504/FAIRsharing.q3b39v","doi":"10.25504/FAIRsharing.q3b39v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mirEX2 is a comprehensive platform for comparative analysis of primary microRNA expression data. RT–qPCR-based gene expression profiles are stored in a universal and expandable database scheme and wrapped by an intuitive user-friendly interface.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12584}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","RNA sequence","Primer","Micro RNA","Pre-miRNA (pre-microRNA)"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Poland"],"publications":[{"id":1555,"pubmed_id":22013167,"title":"mirEX: a platform for comparative exploration of plant pri-miRNA expression data.","year":2011,"url":"http://doi.org/10.1093/nar/gkr878","authors":"Bielewicz D,Dolata J,Zielezinski A,Alaba S,Szarzynska B,Szczesniak MW,Jarmolowski A,Szweykowska-Kulinska Z,Karlowski WM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr878","created_at":"2021-09-30T08:25:14.392Z","updated_at":"2021-09-30T11:29:13.701Z"},{"id":1575,"pubmed_id":26141515,"title":"mirEX 2.0 - an integrated environment for expression profiling of plant microRNAs.","year":2015,"url":"http://doi.org/10.1186/s12870-015-0533-2","authors":"Zielezinski A,Dolata J,Alaba S,Kruszka K,Pacak A,Swida-Barteczka A,Knop K,Stepien A,Bielewicz D,Pietrykowska H,Sierocka I,Sobkowiak L,Lakomiak A,Jarmolowski A,Szweykowska-Kulinska Z,Karlowski WM","journal":"BMC Plant Biol","doi":"10.1186/s12870-015-0533-2","created_at":"2021-09-30T08:25:16.569Z","updated_at":"2021-09-30T08:25:16.569Z"}],"licence_links":[],"grants":[{"id":212,"fairsharing_record_id":1611,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:22.552Z","updated_at":"2021-09-30T09:24:22.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8017,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:25.090Z","updated_at":"2021-09-30T09:30:25.137Z","grant_id":702,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2012/05/N/NZ2/00955","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8423,"fairsharing_record_id":1611,"organisation_id":1042,"relation":"funds","created_at":"2021-09-30T09:32:34.185Z","updated_at":"2021-09-30T09:32:34.242Z","grant_id":1678,"is_lead":false,"saved_state":{"id":1042,"name":"Foundation for Polish Science, Warsaw, Poland","grant":"MPD/2013/3","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":211,"fairsharing_record_id":1611,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:22.521Z","updated_at":"2021-09-30T09:24:22.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":215,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:24:22.643Z","updated_at":"2021-09-30T09:29:20.753Z","grant_id":205,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2011/03/B/NZ2/01416","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":213,"fairsharing_record_id":1611,"organisation_id":2820,"relation":"funds","created_at":"2021-09-30T09:24:22.584Z","updated_at":"2021-09-30T09:30:42.639Z","grant_id":833,"is_lead":false,"saved_state":{"id":2820,"name":"The Polish Ministry of Science and Higher Education","grant":"3011/B/P01/2009/37","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":216,"fairsharing_record_id":1611,"organisation_id":1042,"relation":"funds","created_at":"2021-09-30T09:24:22.673Z","updated_at":"2021-09-30T09:31:24.542Z","grant_id":1156,"is_lead":false,"saved_state":{"id":1042,"name":"Foundation for Polish Science, Warsaw, Poland","grant":"POMOST/2012-5/7","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":214,"fairsharing_record_id":1611,"organisation_id":2350,"relation":"funds","created_at":"2021-09-30T09:24:22.614Z","updated_at":"2021-09-30T09:32:09.862Z","grant_id":1496,"is_lead":false,"saved_state":{"id":2350,"name":"Poznan RNA Centre, Poland","grant":"01/KNOW2/2014","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7931,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:29:54.567Z","updated_at":"2021-09-30T09:29:54.610Z","grant_id":463,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2012/05/N/NZ2/00880","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7951,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:02.460Z","updated_at":"2021-09-30T09:30:02.511Z","grant_id":526,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2013/10/A/NZ1/00557","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7970,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:09.610Z","updated_at":"2021-09-30T09:30:09.665Z","grant_id":578,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2011/03/N/NZ2/01440","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8049,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:38.968Z","updated_at":"2021-09-30T09:30:39.011Z","grant_id":806,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2012/04/M/NZ2/00127","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8131,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:31:07.130Z","updated_at":"2021-09-30T09:31:07.176Z","grant_id":1025,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"0028/B/P/1/2009/37","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8149,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:31:11.905Z","updated_at":"2021-09-30T09:31:11.956Z","grant_id":1059,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2014/12/T/NZ2/00246","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8214,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:31:34.823Z","updated_at":"2021-09-30T09:31:34.868Z","grant_id":1234,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2011/03/N/NZ2/03147","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8421,"fairsharing_record_id":1611,"organisation_id":1042,"relation":"funds","created_at":"2021-09-30T09:32:33.877Z","updated_at":"2021-09-30T09:32:33.927Z","grant_id":1676,"is_lead":false,"saved_state":{"id":1042,"name":"Foundation for Polish Science, Warsaw, Poland","grant":"MPD/2013/7","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9380,"fairsharing_record_id":1611,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:34.411Z","updated_at":"2022-04-11T12:07:34.432Z","grant_id":736,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"WND-POIG.01.03.01-00-101/08","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9382,"fairsharing_record_id":1611,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:34.566Z","updated_at":"2022-04-11T12:07:34.582Z","grant_id":846,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"MPD 2010/3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1614","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-23T17:50:45.412Z","metadata":{"doi":"10.25504/FAIRsharing.ekzmjp","name":"modMine","status":"deprecated","contacts":[{"contact_name":"Gos Micklem","contact_email":"g.micklem@gen.cam.ac.uk"}],"homepage":"http://intermine.modencode.org/","citations":[{"doi":"10.1093/nar/gkr921","pubmed_id":22080565,"publication_id":1466}],"identifier":1614,"description":"modMine is an integrated web resource of data and tools to browse and search modENCODE data and experimental details, download results and access the GBrowse genome browser.","abbreviation":"modMine","data_curation":{},"support_links":[{"url":"http://www.modencode.org/publications/faq/","name":"modMine FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.modencode.org/quickstart/","name":"modMine Quick Start Guide","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://intermine.modencode.org/release-33/customQuery.do","name":"Query Builder"}],"deprecation_date":"2023-02-22","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000070","bsg-d000070"],"name":"FAIRsharing record for: modMine","abbreviation":"modMine","url":"https://fairsharing.org/10.25504/FAIRsharing.ekzmjp","doi":"10.25504/FAIRsharing.ekzmjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: modMine is an integrated web resource of data and tools to browse and search modENCODE data and experimental details, download results and access the GBrowse genome browser.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11670},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12585}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Citation","Protein domain","DNA sequence data","Gene Ontology enrichment","Computational biological predictions","Gene model annotation","Chromatin immunoprecipitation - DNA sequencing","Chromatin immunoprecipitation - DNA microarray","Phenotype","Protein","Binding site","Orthologous"],"taxonomies":["Caenorhabditis elegans","Drosophila ananassae","Drosophila melanogaster","Drosophila mojavensis","Drosophila pseudoobscura","Drosophila simulans","Drosophila virilis","Drosophila yakuba"],"user_defined_tags":[],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":117,"pubmed_id":19536255,"title":"Unlocking the secrets of the genome.","year":2009,"url":"http://doi.org/10.1038/459927a","authors":"Celniker SE., Dillon LA., Gerstein MB., Gunsalus KC., Henikoff S., Karpen GH., Kellis M., Lai EC., Lieb JD., MacAlpine DM., Micklem G., Piano F., Snyder M., Stein L., White KP., Waterston RH.,","journal":"Nature","doi":"10.1038/459927a","created_at":"2021-09-30T08:22:32.972Z","updated_at":"2021-09-30T08:22:32.972Z"},{"id":1465,"pubmed_id":21177974,"title":"Identification of functional elements and regulatory circuits by Drosophila modENCODE.","year":2010,"url":"http://doi.org/10.1126/science.1198374","authors":"Roy S., et al.","journal":"Science","doi":"10.1126/science.1198374","created_at":"2021-09-30T08:25:03.987Z","updated_at":"2021-09-30T08:25:03.987Z"},{"id":1466,"pubmed_id":22080565,"title":"modMine: flexible access to modENCODE data","year":2011,"url":"http://doi.org/10.1093/nar/gkr921","authors":"Contrino S, Smith RN, Butano D, Carr A, Hu F, Lyne R, Rutherford K, Kalderimis A, Sullivan J, Carbon S, Kephart ET, Lloyd P, Stinson EO, Washington NL, Perry MD, Ruzanov P, Zha Z, Lewis SE, Stein LD, Micklem G.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr921","created_at":"2021-09-30T08:25:04.094Z","updated_at":"2021-09-30T08:25:04.094Z"},{"id":2430,"pubmed_id":21177976,"title":"Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project.","year":2010,"url":"http://doi.org/10.1126/science.1196914","authors":"Gerstein MB., et al.","journal":"Science","doi":"10.1126/science.1196914","created_at":"2021-09-30T08:26:58.169Z","updated_at":"2021-09-30T08:26:58.169Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":231,"relation":"undefined"}],"grants":[{"id":231,"fairsharing_record_id":1614,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:24:23.111Z","updated_at":"2021-09-30T09:24:23.111Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":234,"fairsharing_record_id":1614,"organisation_id":713,"relation":"maintains","created_at":"2021-09-30T09:24:23.229Z","updated_at":"2021-09-30T09:24:23.229Z","grant_id":null,"is_lead":true,"saved_state":{"id":713,"name":"Department of Genetics, University of Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":229,"fairsharing_record_id":1614,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:23.028Z","updated_at":"2021-09-30T09:24:23.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":230,"fairsharing_record_id":1614,"organisation_id":1470,"relation":"maintains","created_at":"2021-09-30T09:24:23.070Z","updated_at":"2021-09-30T09:24:23.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":1470,"name":"InterMine, System Biology Centre, Cambridge, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":232,"fairsharing_record_id":1614,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:23.149Z","updated_at":"2021-09-30T09:24:23.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":233,"fairsharing_record_id":1614,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:23.187Z","updated_at":"2021-09-30T09:24:23.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1615","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:40:08.119Z","metadata":{"doi":"10.25504/FAIRsharing.940ayh","name":"Model Organism Protein Expression Database","status":"deprecated","contacts":[{"contact_name":"Eugene Kolker","contact_email":"eugene.kolker@seattlechildrens.org"}],"homepage":"http://moped.proteinspire.org","identifier":1615,"description":"Model Organism Protein Expression Database is a collection of data on protein expression sequence used in the study of clinical research.","abbreviation":"MOPED","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"yes","deprecation_date":"2019-08-13","deprecation_reason":"This database does not appear to be available online.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000071","bsg-d000071"],"name":"FAIRsharing record for: Model Organism Protein Expression Database","abbreviation":"MOPED","url":"https://fairsharing.org/10.25504/FAIRsharing.940ayh","doi":"10.25504/FAIRsharing.940ayh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Model Organism Protein Expression Database is a collection of data on protein expression sequence used in the study of clinical research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1092,"pubmed_id":22139914,"title":"MOPED: Model Organism Protein Expression Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1177","authors":"Kolker E,Higdon R,Haynes W,Welch D,Broomall W,Lancet D,Stanberry L,Kolker N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1177","created_at":"2021-09-30T08:24:20.913Z","updated_at":"2021-09-30T11:28:58.386Z"},{"id":1862,"pubmed_id":24910945,"title":"MOPED 2.5--an integrated multi-omics resource: multi-omics profiling expression database now includes transcriptomics data.","year":2014,"url":"http://doi.org/10.1089/omi.2014.0061","authors":"Montague E,Stanberry L,Higdon R,Janko I,Lee E,Anderson N,Choiniere J,Stewart E,Yandl G,Broomall W,Kolker N,Kolker E","journal":"OMICS","doi":"10.1089/omi.2014.0061","created_at":"2021-09-30T08:25:49.189Z","updated_at":"2021-09-30T08:25:49.189Z"}],"licence_links":[],"grants":[{"id":237,"fairsharing_record_id":1615,"organisation_id":2453,"relation":"funds","created_at":"2021-09-30T09:24:23.348Z","updated_at":"2021-09-30T09:24:23.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":2453,"name":"Robert B McMillen Foundation","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":238,"fairsharing_record_id":1615,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:23.378Z","updated_at":"2021-09-30T09:29:39.486Z","grant_id":346,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"U01DK072473","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":236,"fairsharing_record_id":1615,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:23.321Z","updated_at":"2021-09-30T09:32:18.553Z","grant_id":1559,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0969929","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8113,"fairsharing_record_id":1615,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:31:01.505Z","updated_at":"2021-09-30T09:31:01.546Z","grant_id":982,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"U01DK089571","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1612","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-28T10:26:50.141Z","metadata":{"doi":"10.25504/FAIRsharing.n14rc8","name":"Identifiers.org Central Registry","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"identifiers-org@ebi.ac.uk"}],"homepage":"https://registry.identifiers.org/","citations":[{"doi":"10.1038/sdata.2018.29","pubmed_id":29737976,"publication_id":2751}],"identifier":1612,"description":"The Identifiers.org Central Registry provides the necessary information for the generation and resolution of unique and perennial identifiers for life science data. Those identifiers are both in URI and compact form, and make use of Identifiers.org to provide direct access to the identified data records on the Web. Resource maintainers request an Identifiers.org prefix for their databases or services.","abbreviation":null,"data_curation":{"url":"https://docs.identifiers.org/pages/faq.html#questions-about-users-and-curators","type":"manual"},"support_links":[{"url":"https://docs.identifiers.org/pages/faq.html","name":"Identifiers.org FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/identifiers-org/identifiers-org.github.io/issues/","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://docs.identifiers.org/pages/metadata_service.html","name":"Metadata Service","type":"Help documentation"},{"url":"https://docs.identifiers.org/","name":"Documentation","type":"Help documentation"},{"url":"https://docs.identifiers.org/","name":"Key Facts","type":"Help documentation"},{"url":"https://docs.identifiers.org/pages/identification_scheme.html","name":"Identification Scheme","type":"Help documentation"},{"url":"https://docs.identifiers.org/pages/resolving_mechanisms.html","name":"Resolving Mechanisms","type":"Help documentation"},{"url":"https://twitter.com/IdentifiersOrg","name":"@IdentifiersOrg","type":"Twitter"}],"year_creation":2006,"data_versioning":"no","associated_tools":[{"url":"https://github.com/identifiers-org/cloud-libapi","name":"Java library for identifiers.org Web Services"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://registry.identifiers.org/prefixregistrationrequest","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000068","bsg-d000068"],"name":"FAIRsharing record for: Identifiers.org Central Registry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.n14rc8","doi":"10.25504/FAIRsharing.n14rc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Identifiers.org Central Registry provides the necessary information for the generation and resolution of unique and perennial identifiers for life science data. Those identifiers are both in URI and compact form, and make use of Identifiers.org to provide direct access to the identified data records on the Web. Resource maintainers request an Identifiers.org prefix for their databases or services.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11322},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11518},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11886},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12239},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17990}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Resource metadata","Data identity and mapping","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":362,"pubmed_id":18078503,"title":"MIRIAM Resources: tools to generate and resolve robust cross-references in Systems Biology.","year":2007,"url":"http://doi.org/10.1186/1752-0509-1-58","authors":"Laibe C., Le Novere N.,","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-1-58","created_at":"2021-09-30T08:22:58.900Z","updated_at":"2021-09-30T08:22:58.900Z"},{"id":1282,"pubmed_id":22140103,"title":"Identifiers.org and MIRIAM Registry: community resources to provide persistent identification.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1097","authors":"Juty N,Le Novere N,Laibe C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1097","created_at":"2021-09-30T08:24:43.090Z","updated_at":"2021-09-30T11:29:05.368Z"},{"id":2751,"pubmed_id":29737976,"title":"Uniform resolution of compact identifiers for biomedical data.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.29","authors":"Wimalaratne SM,Juty N,Kunze J,Janee G,McMurry JA,Beard N,Jimenez R,Grethe JS,Hermjakob H,Martone ME,Clark T","journal":"Sci Data","doi":"10.1038/sdata.2018.29","created_at":"2021-09-30T08:27:38.148Z","updated_at":"2021-09-30T08:27:38.148Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":38,"relation":"undefined"},{"licence_name":"Identifiers.org Licence and Disclaimer","licence_id":422,"licence_url":"https://docs.identifiers.org/articles/docs/terms_of_use.html","link_id":42,"relation":"undefined"}],"grants":[{"id":219,"fairsharing_record_id":1612,"organisation_id":2858,"relation":"funds","created_at":"2021-09-30T09:24:22.747Z","updated_at":"2021-09-30T09:24:22.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":2858,"name":"THOR, European Union","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":222,"fairsharing_record_id":1612,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:22.821Z","updated_at":"2021-09-30T09:24:22.821Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":225,"fairsharing_record_id":1612,"organisation_id":873,"relation":"funds","created_at":"2021-09-30T09:24:22.897Z","updated_at":"2021-09-30T09:24:22.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":218,"fairsharing_record_id":1612,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:22.721Z","updated_at":"2021-09-30T09:24:22.721Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":220,"fairsharing_record_id":1612,"organisation_id":993,"relation":"funds","created_at":"2021-09-30T09:24:22.771Z","updated_at":"2021-09-30T09:24:22.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":993,"name":"FAIRplus","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":223,"fairsharing_record_id":1612,"organisation_id":2761,"relation":"funds","created_at":"2021-09-30T09:24:22.847Z","updated_at":"2021-09-30T09:24:22.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":2761,"name":"The CORBEL Project","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":224,"fairsharing_record_id":1612,"organisation_id":1062,"relation":"funds","created_at":"2021-09-30T09:24:22.872Z","updated_at":"2021-09-30T09:24:22.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":1062,"name":"Freya Project, European Union","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":226,"fairsharing_record_id":1612,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:24:22.921Z","updated_at":"2021-09-30T09:24:22.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11551,"fairsharing_record_id":1612,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:50.455Z","updated_at":"2024-03-21T13:58:50.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8b20c2cbc4d9edec6ec7b462e2fba5d722cfed3a/identifiers_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1613","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-09T12:51:49.443Z","metadata":{"doi":"10.25504/FAIRsharing.wx1yak","name":"MitoMiner","status":"deprecated","contacts":[{"contact_name":"Alan J. Robinson","contact_email":"ajr@mrc-mbu.cam.ac.uk"}],"homepage":"http://mitominer.mrc-mbu.cam.ac.uk","citations":[],"identifier":1613,"description":"MitoMiner is an integrated data warehouse of mammalian localisation evidence, phenotypes and diseases. This data has been integrated to allow the creation of sophisticated data mining queries spanning many different sources. It is primarily concerned with data for mammals, zebrafish and yeasts. This resource is currently unavailable.","abbreviation":"MitoMiner","data_curation":{},"support_links":[{"url":"mitominer@mrc-mbu.cam.ac.uk","name":"MitoMiner General Contact","type":"Support email"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/support/faq","name":"MitoMiner FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/support/tutorials","name":"MitoMiner Tutorial","type":"Help documentation"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/support/","name":"MitoMiner News","type":"Help documentation"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/release-4.0/dataCategories.do","name":"Data Sources for MitoMiner","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2009,"data_versioning":"not found","deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000069","bsg-d000069"],"name":"FAIRsharing record for: MitoMiner","abbreviation":"MitoMiner","url":"https://fairsharing.org/10.25504/FAIRsharing.wx1yak","doi":"10.25504/FAIRsharing.wx1yak","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MitoMiner is an integrated data warehouse of mammalian localisation evidence, phenotypes and diseases. This data has been integrated to allow the creation of sophisticated data mining queries spanning many different sources. It is primarily concerned with data for mammals, zebrafish and yeasts. This resource is currently unavailable.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11669}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Phenotype","Protein"],"taxonomies":["Eukaryota"],"user_defined_tags":["Mitochondrial proteomics data"],"countries":["United Kingdom"],"publications":[{"id":107,"pubmed_id":19208617,"title":"MitoMiner, an integrated database for the storage and analysis of mitochondrial proteomics data.","year":2009,"url":"http://doi.org/10.1074/mcp.M800373-MCP200","authors":"Smith AC., Robinson AJ.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M800373-MCP200","created_at":"2021-09-30T08:22:31.896Z","updated_at":"2021-09-30T08:22:31.896Z"},{"id":1450,"pubmed_id":26432830,"title":"MitoMiner v3.1, an update on the mitochondrial proteomics database.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1001","authors":"Smith AC,Robinson AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1001","created_at":"2021-09-30T08:25:02.075Z","updated_at":"2021-09-30T11:29:08.609Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1244,"relation":"undefined"}],"grants":[{"id":228,"fairsharing_record_id":1613,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:22.986Z","updated_at":"2021-09-30T09:24:22.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":227,"fairsharing_record_id":1613,"organisation_id":1905,"relation":"maintains","created_at":"2021-09-30T09:24:22.947Z","updated_at":"2021-09-30T09:24:22.947Z","grant_id":null,"is_lead":true,"saved_state":{"id":1905,"name":"MRC Mitochondrial Biology Unit (MBU), Cambridge, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1599","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:16.860Z","metadata":{"doi":"10.25504/FAIRsharing.d05nwx","name":"IntAct molecular interaction database","status":"ready","contacts":[{"contact_name":"Sandra Orchard","contact_email":"orchard@ebi.ac.uk","contact_orcid":"0000-0002-8878-3972"}],"homepage":"https://www.ebi.ac.uk/intact/home","citations":[{"doi":"10.1093/nar/gkt1115","pubmed_id":24234451,"publication_id":2765}],"identifier":1599,"description":"IntAct provides a freely available, open source database system and analysis tools for protein interaction data. All interactions are derived from literature curation or direct user submissions and are freely available.","abbreviation":"IntAct","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.ebi.ac.uk/support/index.php?query=intact","name":"IntAct Contact Form","type":"Contact form"},{"url":"https://tess.elixir-europe.org/materials/intact-quick-tour","name":"Intact quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intact-the-molecular-interactions-database-at-embl-ebi-webinar","name":"Intact the molecular interactions database at embl ebi webinar","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intact-molecular-interactions-at-embl-ebi","name":"Intact molecular interactions at embl ebi","type":"TeSS links to training materials"},{"url":"https://twitter.com/intact_project","name":"@intact_project","type":"Twitter"},{"url":"https://www.ebi.ac.uk/intact/documentation","name":"Help Documentation","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://wiki.cytoscape.org/Cytoscape_User_Manual/ImportingNetworksFromWebServices","name":"Cytoscape"},{"url":"http://www.ebi.ac.uk/intact/validator","name":"PSI-MI Semantic Validator"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010671","name":"re3data:r3d100010671","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006944","name":"SciCrunch:RRID:SCR_006944","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/intact/documentation/data_submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000054","bsg-d000054"],"name":"FAIRsharing record for: IntAct molecular interaction database","abbreviation":"IntAct","url":"https://fairsharing.org/10.25504/FAIRsharing.d05nwx","doi":"10.25504/FAIRsharing.d05nwx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IntAct provides a freely available, open source database system and analysis tools for protein interaction data. All interactions are derived from literature curation or direct user submissions and are freely available.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10929},{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11211},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11320},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11830},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12296},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12583}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biology"],"domains":["Citation","Protein domain","Gene name","Experimental measurement","Free text","Gene Ontology enrichment","Protein interaction","Binding","Molecular interaction","Protein","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":351,"pubmed_id":14681455,"title":"IntAct: an open source molecular interaction database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh052","authors":"Hermjakob H., Montecchi-Palazzi L., Lewington C. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh052","created_at":"2021-09-30T08:22:57.774Z","updated_at":"2021-09-30T08:22:57.774Z"},{"id":865,"pubmed_id":19850723,"title":"The IntAct molecular interaction database in 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp878","authors":"Aranda B., Achuthan P., Alam-Faruque Y. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp878","created_at":"2021-09-30T08:23:55.555Z","updated_at":"2021-09-30T08:23:55.555Z"},{"id":868,"pubmed_id":17925023,"title":"Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.","year":2007,"url":"http://doi.org/10.1186/1741-7007-5-44","authors":"Kerrien S., Orchard S., Montecchi-Palazzi L. et al.","journal":"BMC Biol.","doi":"10.1186/1741-7007-5-44","created_at":"2021-09-30T08:23:55.889Z","updated_at":"2021-09-30T08:23:55.889Z"},{"id":2294,"pubmed_id":21716279,"title":"PSICQUIC and PSISCORE: accessing and scoring molecular interactions.","year":2011,"url":"http://doi.org/10.1038/nmeth.1637","authors":"Aranda B., Blankenburg H., Kerrien S. et al.","journal":"Nat. Methods","doi":"10.1038/nmeth.1637","created_at":"2021-09-30T08:26:39.956Z","updated_at":"2021-09-30T08:26:39.956Z"},{"id":2765,"pubmed_id":24234451,"title":"The MIntAct project--IntAct as a common curation platform for 11 molecular interaction databases.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1115","authors":"Orchard S,Ammari M,Aranda B et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1115","created_at":"2021-09-30T08:27:39.836Z","updated_at":"2021-09-30T11:29:43.311Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2242,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2241,"relation":"undefined"}],"grants":[{"id":179,"fairsharing_record_id":1599,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:21.460Z","updated_at":"2021-09-30T09:24:21.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":177,"fairsharing_record_id":1599,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:21.389Z","updated_at":"2021-09-30T09:24:21.389Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":178,"fairsharing_record_id":1599,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:21.422Z","updated_at":"2021-09-30T09:24:21.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":181,"fairsharing_record_id":1599,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:21.539Z","updated_at":"2021-09-30T09:32:05.485Z","grant_id":1464,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBSRC MIDAS grant (BB/L024179/1)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9261,"fairsharing_record_id":1599,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.189Z","updated_at":"2022-04-11T12:07:26.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcDRDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--35060191cee27b3f1ab04b820194c198e94ad742/Screenshot%20from%202023-05-25%2014-38-09.png?disposition=inline","exhaustive_licences":true}},{"id":"1850","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-21T15:37:26.679Z","metadata":{"doi":"10.25504/FAIRsharing.dj8nt8","name":"European Nucleotide Archive","status":"ready","contacts":[{"contact_name":"Guy Cochrane","contact_email":"datasubs@ebi.ac.uk","contact_orcid":"0000-0001-7954-7057"},{"contact_name":"Jerry Lanfear","contact_email":"jerry.lanfear@elixir-europe.org","contact_orcid":"0000-0002-8007-5568"}],"homepage":"http://www.ebi.ac.uk/ena","citations":[{"doi":"10.1093/nar/gkw1106","pubmed_id":27899630,"publication_id":2401}],"identifier":1850,"description":"The European Nucleotide Archive (ENA) is a globally comprehensive data resource for nucleotide sequence, spanning raw data, alignments and assemblies, functional and taxonomic annotation and rich contextual data relating to sequenced samples and experimental design. Serving both as the database of record for the output of the world's sequencing activity and as a platform for the management, sharing and publication of sequence data, the ENA provides a portfolio of services for submission, data management, search and retrieval across web and programmatic interfaces. The ENA is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","abbreviation":"ENA","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/ena/browser/support","name":"Support / Feedback Form","type":"Contact form"},{"url":"http://listserver.ebi.ac.uk/mailman/listinfo/ena-announce","name":"ENA Announce","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/ena/about","name":"About ENA","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/european-nucleotide-archive-quick-tour","name":"European nucleotide archive quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/european-nucleotide-archive-ena-an-introduction-webinar","name":"European nucleotide archive ena an introduction webinar","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/european-nucleotide-archive-using-the-primary-nucleotide-sequence-resource","name":"European nucleotide archive using the primary nucleotide sequence resource","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/ebi-metagenomics-portal-submitting-metagenomics-data-to-the-european-nucleotide-archive","name":"Ebi metagenomics portal submitting metagenomics data to the european nucleotide archive","type":"TeSS links to training materials"},{"url":"https://ena-docs.readthedocs.io/en/latest/","name":"Tutorials and Guidelines","type":"Training documentation"},{"url":"https://twitter.com/enasequence","name":"@enasequence","type":"Twitter"}],"year_creation":1980,"data_versioning":"yes","associated_tools":[{"url":"https://www.ebi.ac.uk/ena/software/cram-toolkit","name":"CRAM"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010527","name":"re3data:r3d100010527","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006515","name":"SciCrunch:RRID:SCR_006515","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/ena/browser/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/ena/browser/submit","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000310","bsg-d000310"],"name":"FAIRsharing record for: European Nucleotide Archive","abbreviation":"ENA","url":"https://fairsharing.org/10.25504/FAIRsharing.dj8nt8","doi":"10.25504/FAIRsharing.dj8nt8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Nucleotide Archive (ENA) is a globally comprehensive data resource for nucleotide sequence, spanning raw data, alignments and assemblies, functional and taxonomic annotation and rich contextual data relating to sequenced samples and experimental design. Serving both as the database of record for the output of the world's sequencing activity and as a platform for the management, sharing and publication of sequence data, the ENA provides a portfolio of services for submission, data management, search and retrieval across web and programmatic interfaces. The ENA is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17569},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10939},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11336},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11837},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12636},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12954},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13907},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16203},{"linking_record_name":"EVORA’s Selection of FAIRsharing Referenced Resources for Pandemic Preparedness and Response","linking_record_id":5449,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19704}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Metagenomics","Genomics","Bioinformatics","Data Management","Biodiversity","Transcriptomics"],"domains":["DNA sequence data","Annotation","Sequence annotation","Genomic assembly","Histone","Deoxyribonucleic acid","Ribonucleic acid","Nucleotide","Sequencing","Amino acid sequence","Data storage"],"taxonomies":["All"],"user_defined_tags":["Data coordination"],"countries":["Japan","United States","European Union"],"publications":[{"id":227,"pubmed_id":26615190,"title":"Biocuration of functional annotation at the European nucleotide archive.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1311","authors":"Gibson R,Alako B,Amid C,Cerdeno-Tarraga A,Cleland I,Goodgame N,Ten Hoopen P,Jayathilaka S,Kay S,Leinonen R,Liu X,Pallreddy S,Pakseresht N,Rajan J,Rossello M,Silvester N,Smirnov D,Toribio AL,Vaughan D,Zalunin V,Cochrane G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1311","created_at":"2021-09-30T08:22:44.521Z","updated_at":"2021-09-30T11:28:44.125Z"},{"id":274,"pubmed_id":25404130,"title":"Content discovery and retrieval services at the European Nucleotide Archive.","year":2014,"url":"http://doi.org/10.1093/nar/gku1129","authors":"Silvester N,Alako B,Amid C,Cerdeno-Tarraga A,Cleland I,Gibson R,Goodgame N,Ten Hoopen P,Kay S,Leinonen R,Li W,Liu X,Lopez R,Pakseresht N,Pallreddy S,Plaister S,Radhakrishnan R,Rossello M,Senf A,Smirnov D,Toribio AL,Vaughan D,Zalunin V,Cochrane G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1129","created_at":"2021-09-30T08:22:49.623Z","updated_at":"2021-09-30T11:28:44.591Z"},{"id":822,"pubmed_id":23203883,"title":"Facing growth in the European Nucleotide Archive.","year":2012,"url":"http://doi.org/10.1093/nar/gks1175","authors":"Cochrane G.,Alako B., et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1175","created_at":"2021-09-30T08:23:50.618Z","updated_at":"2021-09-30T11:28:53.175Z"},{"id":1175,"pubmed_id":26657633,"title":"The International Nucleotide Sequence Database Collaboration.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1323","authors":"Cochrane G,Karsch-Mizrachi I,Takagi T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1323","created_at":"2021-09-30T08:24:30.606Z","updated_at":"2021-09-30T11:29:02.034Z"},{"id":2401,"pubmed_id":27899630,"title":"European Nucleotide Archive in 2016.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1106","authors":"Toribio AL.,Alako B., et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1106","created_at":"2021-09-30T08:26:54.759Z","updated_at":"2021-09-30T11:29:34.986Z"},{"id":2468,"pubmed_id":14681351,"title":"The EMBL Nucleotide Sequence Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh120","authors":"Kulikova T,Aldebert P., et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh120","created_at":"2021-09-30T08:27:02.652Z","updated_at":"2021-09-30T11:29:37.053Z"}],"licence_links":[{"licence_name":"ENA Open Access Statement","licence_id":278,"licence_url":"https://www.ebi.ac.uk/ena/standards-and-policies","link_id":2338,"relation":"undefined"}],"grants":[{"id":968,"fairsharing_record_id":1850,"organisation_id":2282,"relation":"funds","created_at":"2021-09-30T09:24:50.855Z","updated_at":"2021-09-30T09:24:50.855Z","grant_id":null,"is_lead":false,"saved_state":{"id":2282,"name":"Oxford Nanopore Technologies, Oxford, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":962,"fairsharing_record_id":1850,"organisation_id":2894,"relation":"funds","created_at":"2021-09-30T09:24:50.621Z","updated_at":"2021-09-30T09:30:00.987Z","grant_id":514,"is_lead":false,"saved_state":{"id":2894,"name":"UK Biotechnology and Biological Sciences Research Council - RNA Central","grant":"NN/J019321/1","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":963,"fairsharing_record_id":1850,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:50.664Z","updated_at":"2021-09-30T09:24:50.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":964,"fairsharing_record_id":1850,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:50.701Z","updated_at":"2021-09-30T09:24:50.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":965,"fairsharing_record_id":1850,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:50.734Z","updated_at":"2021-09-30T09:24:50.734Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":966,"fairsharing_record_id":1850,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:24:50.772Z","updated_at":"2021-09-30T09:24:50.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":959,"fairsharing_record_id":1850,"organisation_id":1262,"relation":"funds","created_at":"2021-09-30T09:24:50.511Z","updated_at":"2021-09-30T09:29:17.542Z","grant_id":180,"is_lead":false,"saved_state":{"id":1262,"name":"Horizon 2020 Programme of the European Union - EMBRIC","grant":"654008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":967,"fairsharing_record_id":1850,"organisation_id":1263,"relation":"funds","created_at":"2021-09-30T09:24:50.813Z","updated_at":"2021-09-30T09:31:47.836Z","grant_id":1330,"is_lead":false,"saved_state":{"id":1263,"name":"Horizon 2020 Programme of the European Union - ENVRI+","grant":"654182","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":960,"fairsharing_record_id":1850,"organisation_id":2892,"relation":"funds","created_at":"2021-09-30T09:24:50.542Z","updated_at":"2021-09-30T09:32:12.577Z","grant_id":1517,"is_lead":false,"saved_state":{"id":2892,"name":"UK Biotechnology and Biological Sciences Research Council - Metagenomics Portal","grant":"BB/M011755/1","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":957,"fairsharing_record_id":1850,"organisation_id":1261,"relation":"funds","created_at":"2021-09-30T09:24:50.434Z","updated_at":"2021-09-30T09:32:34.653Z","grant_id":1682,"is_lead":false,"saved_state":{"id":1261,"name":"Horizon 2020 Programme of the European Union - COMPARE","grant":"643476","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":958,"fairsharing_record_id":1850,"organisation_id":1264,"relation":"funds","created_at":"2021-09-30T09:24:50.471Z","updated_at":"2021-09-30T09:29:30.418Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9201,"fairsharing_record_id":1850,"organisation_id":278,"relation":"funds","created_at":"2022-04-11T12:07:21.563Z","updated_at":"2022-04-11T12:07:21.584Z","grant_id":1582,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/N018354/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBPdz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9558f885de21d2ce8b723a5d0ecbaf3afe054001/ENA_logo_2021.png?disposition=inline","exhaustive_licences":true}},{"id":"1845","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-03T17:19:24.142Z","metadata":{"doi":"10.25504/FAIRsharing.6k0kwd","name":"ArrayExpress","status":"ready","contacts":[{"contact_name":"ArrayExpress Team","contact_email":"arrayexpress@ebi.ac.uk"},{"contact_name":"Annotare - ArrayExpress","contact_email":"annotare@ebi.ac.uk","contact_orcid":null}],"homepage":"https://www.ebi.ac.uk/biostudies/arrayexpress/","citations":[{"doi":"10.1093/nar/gkaa1062","pubmed_id":33211879,"publication_id":4081}],"identifier":1845,"description":"ArrayExpress is a database of functional genomics experiments that can be queried and the data downloaded. ArrayExpress has moved to the BioStudies repository but maintains its distinct data model and submission portal - experiments are submitted directly to ArrayExpress via its own dedicated submission tool Annotare.\nIt includes gene expression data from microarray and high throughput sequencing studies, including single-cell sequencing experiments. Data is collected to MIAME, MINSEQE and minSCe standards and guidelines. ","abbreviation":"ArrayExpress","data_curation":{"url":"https://www.ebi.ac.uk/fg/annotare/about","type":"manual","notes":"All experiments submitted to ArrayExpress are manually curated by trained bioinformaticians."},"support_links":[{"url":"annotare@ebi.ac.uk","name":"Annotare Helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/biostudies/arrayexpress/help","name":"Help Pages","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/arrayexpress/help/contact_us.html","name":"Contact Page","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biostudies/about","name":"About","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/arrayexpress-quick-tour","name":"Arrayexpress quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/arrayexpress-discover-functional-genomics-data-quickly-and-easily","name":"ArrayExpress: Discover functional genomics data quickly and easily","type":"TeSS links to training materials"},{"url":"http://www.ebi.ac.uk/training/online/course/functional-genomics-introduction-embl-ebi-resource-1","name":"Functional genomics at the EBI","type":"Training documentation"},{"url":"https://twitter.com/ArrayExpressEBI","name":"@ArrayExpressEBI","type":"Twitter"},{"url":"https://www.ebi.ac.uk/people/person/alvis-brazma/","name":"Functional Genomics group","type":"Other"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/fg/annotare/","name":"Annotare"},{"url":"http://www.bioconductor.org/packages/release/bioc/html/ArrayExpress.html","name":"ArrayExpress Bioconductor Package"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010222","name":"re3data:r3d100010222","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002964","name":"SciCrunch:RRID:SCR_002964","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/fg/annotare/help/index.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000305","bsg-d000305"],"name":"FAIRsharing record for: ArrayExpress","abbreviation":"ArrayExpress","url":"https://fairsharing.org/10.25504/FAIRsharing.6k0kwd","doi":"10.25504/FAIRsharing.6k0kwd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ArrayExpress is a database of functional genomics experiments that can be queried and the data downloaded. ArrayExpress has moved to the BioStudies repository but maintains its distinct data model and submission portal - experiments are submitted directly to ArrayExpress via its own dedicated submission tool Annotare.\nIt includes gene expression data from microarray and high throughput sequencing studies, including single-cell sequencing experiments. Data is collected to MIAME, MINSEQE and minSCe standards and guidelines. ","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17060},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17076},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10938},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11333},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11834},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12635}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics"],"domains":["Expression data","Experimental measurement","Genotyping","Nucleotide","Gene expression","Methylation","Protocol","Chromatin immunoprecipitation - DNA sequencing","Chromatin immunoprecipitation - DNA microarray","RNA sequencing","DNA microarray","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":353,"pubmed_id":12519949,"title":"ArrayExpress--a public repository for microarray gene expression data at the EBI.","year":2003,"url":"http://doi.org/10.1093/nar/gkg091","authors":"Brazma A., Parkinson H., Sarkans U., Shojatalab M., Vilo J., Abeygunawardena N., Holloway E., Kapushesky M., Kemmeren P., Lara GG., Oezcimen A., Rocca-Serra P., Sansone SA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg091","created_at":"2021-09-30T08:22:57.984Z","updated_at":"2021-09-30T08:22:57.984Z"},{"id":678,"pubmed_id":25361974,"title":"ArrayExpress update-simplifying data submissions.","year":2014,"url":"http://doi.org/10.1093/nar/gku1057","authors":"Kolesnikov N, Hastings E, Keays M, Melnichuk O, Tang YA, Williams E, Dylag M, Kurbatova N, Brandizi M, Burdett T, Megy K, Pilicheva E, Rustici G, Tikhonov A, Parkinson H, Petryszak R, Sarkans U, Brazma A.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1057","created_at":"2021-09-30T08:23:34.741Z","updated_at":"2021-09-30T11:28:48.959Z"},{"id":2603,"pubmed_id":30357387,"title":"ArrayExpress update – from bulk to single-cell expression data","year":2018,"url":"http://doi.org/10.1093/nar/gky964","authors":"Awais Athar, Anja Füllgrabe, Nancy George, Haider Iqbal, Laura Huerta, Ahmed Ali, Catherine Snow, Nuno A Fonseca, Robert Petryszak, Irene Papatheodorou, Ugis Sarkans, Alvis Brazma","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky964","created_at":"2021-09-30T08:27:19.479Z","updated_at":"2021-09-30T08:27:19.479Z"},{"id":4081,"pubmed_id":33211879,"title":"From ArrayExpress to BioStudies.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa1062","authors":"Sarkans U, Füllgrabe A, Ali A, Athar A, Behrangi E, Diaz N, Fexova S, George N, Iqbal H, Kurri S, Munoz J, Rada J, Papatheodorou I, Brazma A","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa1062","created_at":"2024-01-08T15:47:49.076Z","updated_at":"2024-01-08T15:47:49.076Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1709,"relation":"undefined"}],"grants":[{"id":908,"fairsharing_record_id":1845,"organisation_id":1600,"relation":"maintains","created_at":"2021-09-30T09:24:48.635Z","updated_at":"2021-09-30T09:24:48.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":8097,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:30:56.672Z","updated_at":"2021-09-30T09:30:56.732Z","grant_id":946,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"ENGAGE [201413]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":907,"fairsharing_record_id":1845,"organisation_id":1076,"relation":"maintains","created_at":"2021-09-30T09:24:48.606Z","updated_at":"2021-09-30T09:24:48.606Z","grant_id":null,"is_lead":true,"saved_state":{"id":1076,"name":"Functional Genomics Group, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7932,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:29:54.801Z","updated_at":"2021-09-30T09:29:54.850Z","grant_id":465,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"SYBARIS [242220]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":910,"fairsharing_record_id":1845,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:24:48.720Z","updated_at":"2021-09-30T09:31:32.570Z","grant_id":1217,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41 HG003619","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":912,"fairsharing_record_id":1845,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:48.791Z","updated_at":"2021-09-30T09:31:07.966Z","grant_id":1031,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1127112","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":906,"fairsharing_record_id":1845,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:24:48.580Z","updated_at":"2021-09-30T09:28:58.402Z","grant_id":37,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","grant":"U54-HG004028","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8118,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:02.897Z","updated_at":"2021-09-30T09:31:02.949Z","grant_id":992,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"CAGEKID [241669]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8022,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:30:26.978Z","updated_at":"2021-09-30T09:30:27.029Z","grant_id":716,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"SLING [226073]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8461,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:44.577Z","updated_at":"2021-09-30T09:32:44.633Z","grant_id":1758,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"GEUVADIS [261123]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8242,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:41.914Z","updated_at":"2021-09-30T09:31:42.011Z","grant_id":1288,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"Gen2Phen [200754]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8159,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:15.773Z","updated_at":"2021-09-30T09:31:15.819Z","grant_id":1092,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"BioMedBridges [284209]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":911,"fairsharing_record_id":1845,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:48.758Z","updated_at":"2021-09-30T09:24:48.758Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":909,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:48.678Z","updated_at":"2021-09-30T09:29:48.317Z","grant_id":412,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"EurocanPlatform [260791]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10012,"fairsharing_record_id":1845,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.761Z","updated_at":"2022-10-13T09:43:38.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdmtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--252151e1f950bc1d6cb42f15b4175f4d8f8346fc/Logo-ArrayExpress.jpg?disposition=inline","exhaustive_licences":true}},{"id":"1848","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:09.149Z","metadata":{"doi":"10.25504/FAIRsharing.cmw6mm","name":"Europe PubMed Central","status":"ready","contacts":[{"contact_name":"Europe PMC Helpdesk","contact_email":"helpdesk@europepmc.org"}],"homepage":"https://europepmc.org","citations":[{"doi":"10.1093/nar/gkad1085","pubmed_id":37994696,"publication_id":4054}],"identifier":1848,"description":"Europe PubMed Central (Europe PMC) is an on-line database that offers free access to a large and growing collection of biomedical research literature.","abbreviation":"Europe PMC","data_curation":{"type":"not found"},"support_links":[{"url":"https://europepmc.org/feedback","type":"Contact form"},{"url":"helpdesk@europepmc.org","name":"Europe PMC Helpdesk","type":"Support email"},{"url":"https://europepmc.org/Help","name":"Help Pages","type":"Help documentation"},{"url":"https://europepmc.org/Roadmap","name":"Roadmap","type":"Help documentation"},{"url":"https://europepmc.org/Funders/","name":"Funders","type":"Help documentation"},{"url":"https://europepmc.org/Governance","name":"Governance","type":"Help documentation"},{"url":"https://europepmc.org/About","name":"About","type":"Help documentation"},{"url":"https://europepmc.org/RssFeeds","name":"All RSS Feeds","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/europe-pmc-quick-tour","name":"Europe PMC: quick tour","type":"TeSS links to training materials"},{"url":"https://europepmc.org/Outreach","name":"Outreach","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/europe-pmc-get-most-literature-searches","name":"Europe PMC: get the most from literature searches","type":"Training documentation"},{"url":"https://twitter.com/EuropePMC_news","name":"@EuropePMC_news","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Europe_PubMed_Central","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"http://blog.europepmc.org/","type":"Blog/News"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://europepmc.org/orcid/import","name":"ORCID Article Claiming Tool"},{"url":"https://europepmc.org/LabsLink","name":"External Links Service"},{"url":"https://europepmc.org/ArticleStatusMonitor","name":"Article Status Monitor"},{"url":"https://europepmc.org/grantfinder","name":"Grant Finder"},{"url":"https://europepmc.org/AnnotationsSubmission","name":"Annotations Submission Service"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://plus.europepmc.org/home","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000308","bsg-d000308"],"name":"FAIRsharing record for: Europe PubMed Central","abbreviation":"Europe PMC","url":"https://fairsharing.org/10.25504/FAIRsharing.cmw6mm","doi":"10.25504/FAIRsharing.cmw6mm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Europe PubMed Central (Europe PMC) is an on-line database that offers free access to a large and growing collection of biomedical research literature.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11008},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11058},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11335},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11836},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14023},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16204}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Citation","Abstract","Bibliography","Annotation","Text mining","Patent"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":546,"pubmed_id":33180112,"title":"Europe PMC in 2020.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa994","authors":"Ferguson C, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa994","created_at":"2021-09-30T08:23:19.582Z","updated_at":"2021-09-30T11:28:47.250Z"},{"id":1362,"pubmed_id":25378340,"title":"Europe PMC: a full-text literature database for the life sciences and platform for innovation.","year":2014,"url":"http://doi.org/10.1093/nar/gku1061","authors":"Europe PMC Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1061","created_at":"2021-09-30T08:24:52.307Z","updated_at":"2021-09-30T11:29:06.876Z"},{"id":1409,"pubmed_id":29161421,"title":"Europe PMC in 2017.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1005","authors":"Levchenko M, Gou Y ,Graef F, Hamelers A, Huang Z, Ide-Smith M, Iyer A, Kilian O, Katuri J, Kim JH, Marinos N, Nambiar R, Parkin M, Pi X, Rogers F, Talo F, Vartak V, Venkatesan A, McEntyre J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1005","created_at":"2021-09-30T08:24:57.514Z","updated_at":"2021-09-30T11:29:08.059Z"},{"id":2067,"pubmed_id":21062818,"title":"UKPMC: a full text article resource for the life sciences.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1063","authors":"McEntyre JR, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1063","created_at":"2021-09-30T08:26:12.980Z","updated_at":"2021-09-30T11:29:27.794Z"},{"id":4054,"pubmed_id":37994696,"title":"Europe PMC in 2023.","year":2023,"url":"https://europepmc.org/article/MED/37994696","authors":"Rosonovski S, Levchenko M, Bhatnagar R, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkad1085","created_at":"2023-11-29T10:57:44.886Z","updated_at":"2023-11-29T10:57:44.886Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2273,"relation":"undefined"}],"grants":[{"id":8853,"fairsharing_record_id":1848,"organisation_id":2684,"relation":"funds","created_at":"2022-02-10T14:58:31.118Z","updated_at":"2022-02-10T14:58:31.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8754,"fairsharing_record_id":1848,"organisation_id":2614,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.102Z","updated_at":"2022-02-10T11:51:08.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":2614,"name":"Species 2000 Secretariat, Naturalis Biodiversity Center","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":8757,"fairsharing_record_id":1848,"organisation_id":2712,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.125Z","updated_at":"2022-02-10T11:51:08.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Consortium","types":["Consortium","Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}},{"id":8755,"fairsharing_record_id":1848,"organisation_id":2682,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.109Z","updated_at":"2022-02-10T11:51:08.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8756,"fairsharing_record_id":1848,"organisation_id":947,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.123Z","updated_at":"2022-02-10T11:51:08.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":947,"name":"European Organisation for Nuclear Research (CERN), Geneva, Switzerland","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8835,"fairsharing_record_id":1848,"organisation_id":1325,"relation":"funds","created_at":"2022-02-10T13:14:25.764Z","updated_at":"2022-02-10T13:14:25.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":1325,"name":"India Alliance DBT Wellcome","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8837,"fairsharing_record_id":1848,"organisation_id":1812,"relation":"funds","created_at":"2022-02-10T13:14:25.792Z","updated_at":"2022-02-10T13:14:25.792Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8839,"fairsharing_record_id":1848,"organisation_id":1908,"relation":"funds","created_at":"2022-02-10T13:14:25.819Z","updated_at":"2022-02-10T13:14:25.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":1908,"name":"MS Society","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8842,"fairsharing_record_id":1848,"organisation_id":3259,"relation":"funds","created_at":"2022-02-10T13:14:25.847Z","updated_at":"2022-02-10T13:14:25.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":3259,"name":"Worldwide Cancer Research","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8813,"fairsharing_record_id":1848,"organisation_id":908,"relation":"collaborates_on","created_at":"2022-02-10T11:51:08.225Z","updated_at":"2022-02-10T11:51:08.225Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8753,"fairsharing_record_id":1848,"organisation_id":1166,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.092Z","updated_at":"2022-02-10T11:51:08.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":8834,"fairsharing_record_id":1848,"organisation_id":368,"relation":"funds","created_at":"2022-02-10T13:14:25.764Z","updated_at":"2022-02-10T13:14:25.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK Manchester Institute","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8838,"fairsharing_record_id":1848,"organisation_id":2766,"relation":"funds","created_at":"2022-02-10T13:14:25.795Z","updated_at":"2022-02-10T13:14:25.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":2766,"name":"The Dunhill Medical Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8840,"fairsharing_record_id":1848,"organisation_id":2727,"relation":"funds","created_at":"2022-02-10T13:14:25.822Z","updated_at":"2022-02-10T13:14:25.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":2727,"name":"Telethon Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8843,"fairsharing_record_id":1848,"organisation_id":287,"relation":"funds","created_at":"2022-02-10T13:14:25.851Z","updated_at":"2022-02-10T13:14:25.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":287,"name":"Blood Cancer UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8836,"fairsharing_record_id":1848,"organisation_id":503,"relation":"funds","created_at":"2022-02-10T13:14:25.789Z","updated_at":"2022-02-10T13:14:25.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":503,"name":"Chief Scientist Office","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8841,"fairsharing_record_id":1848,"organisation_id":1899,"relation":"funds","created_at":"2022-02-10T13:14:25.845Z","updated_at":"2022-02-10T13:14:25.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":1899,"name":"Motor Neuron Disease Association","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8844,"fairsharing_record_id":1848,"organisation_id":2373,"relation":"funds","created_at":"2022-02-10T13:14:25.893Z","updated_at":"2022-02-10T13:14:25.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2373,"name":"Prostate Cancer UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8854,"fairsharing_record_id":1848,"organisation_id":154,"relation":"funds","created_at":"2022-02-10T14:58:31.223Z","updated_at":"2022-02-10T14:58:31.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":154,"name":"Austrian Science Fund (FWF), Austria","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8855,"fairsharing_record_id":1848,"organisation_id":21,"relation":"funds","created_at":"2022-02-10T14:58:31.252Z","updated_at":"2022-02-10T14:58:31.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":21,"name":"Action on Hearing Loss","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8856,"fairsharing_record_id":1848,"organisation_id":2741,"relation":"funds","created_at":"2022-02-10T14:58:31.279Z","updated_at":"2022-02-10T14:58:31.279Z","grant_id":null,"is_lead":false,"saved_state":{"id":2741,"name":"The Academy of Medical Sciences","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8857,"fairsharing_record_id":1848,"organisation_id":2290,"relation":"funds","created_at":"2022-02-10T14:58:31.307Z","updated_at":"2022-02-10T14:58:31.307Z","grant_id":null,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8858,"fairsharing_record_id":1848,"organisation_id":307,"relation":"funds","created_at":"2022-02-10T14:58:31.334Z","updated_at":"2022-02-10T14:58:31.334Z","grant_id":null,"is_lead":false,"saved_state":{"id":307,"name":"Breast Cancer Now","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8859,"fairsharing_record_id":1848,"organisation_id":115,"relation":"funds","created_at":"2022-02-10T14:58:31.361Z","updated_at":"2022-02-10T14:58:31.361Z","grant_id":null,"is_lead":false,"saved_state":{"id":115,"name":"Arthritis Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8860,"fairsharing_record_id":1848,"organisation_id":1975,"relation":"funds","created_at":"2022-02-10T14:58:31.391Z","updated_at":"2022-02-10T14:58:31.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":1975,"name":"National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs), London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8861,"fairsharing_record_id":1848,"organisation_id":3252,"relation":"funds","created_at":"2022-02-10T14:58:31.423Z","updated_at":"2022-02-10T14:58:31.423Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8862,"fairsharing_record_id":1848,"organisation_id":2003,"relation":"funds","created_at":"2022-02-10T14:58:31.484Z","updated_at":"2022-02-10T14:58:31.484Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8863,"fairsharing_record_id":1848,"organisation_id":1924,"relation":"funds","created_at":"2022-02-10T14:58:31.511Z","updated_at":"2022-02-10T14:58:31.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":1924,"name":"Myrovlytis Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8864,"fairsharing_record_id":1848,"organisation_id":757,"relation":"funds","created_at":"2022-02-10T14:58:31.538Z","updated_at":"2022-02-10T14:58:31.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":757,"name":"Diabetes UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8865,"fairsharing_record_id":1848,"organisation_id":2747,"relation":"funds","created_at":"2022-02-10T14:58:31.567Z","updated_at":"2022-02-10T14:58:31.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8866,"fairsharing_record_id":1848,"organisation_id":2772,"relation":"funds","created_at":"2022-02-10T14:58:31.595Z","updated_at":"2022-02-10T14:58:31.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8867,"fairsharing_record_id":1848,"organisation_id":67,"relation":"funds","created_at":"2022-02-10T14:58:31.623Z","updated_at":"2022-02-10T14:58:31.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":67,"name":"Alzheimers Society","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8868,"fairsharing_record_id":1848,"organisation_id":2854,"relation":"funds","created_at":"2022-02-10T14:58:31.755Z","updated_at":"2022-02-10T14:58:31.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8869,"fairsharing_record_id":1848,"organisation_id":278,"relation":"funds","created_at":"2022-02-10T14:58:31.784Z","updated_at":"2022-02-10T14:58:31.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8870,"fairsharing_record_id":1848,"organisation_id":1752,"relation":"funds","created_at":"2022-02-10T14:58:32.202Z","updated_at":"2022-02-10T14:58:32.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":1752,"name":"Marie Curie","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11113,"fairsharing_record_id":1848,"organisation_id":2130,"relation":"funds","created_at":"2023-11-29T10:56:12.352Z","updated_at":"2023-11-29T10:56:12.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11114,"fairsharing_record_id":1848,"organisation_id":4179,"relation":"funds","created_at":"2023-11-29T10:56:12.354Z","updated_at":"2023-11-29T10:56:12.354Z","grant_id":null,"is_lead":false,"saved_state":{"id":4179,"name":"The European \u0026 Developing Countries Clinical Trials Partnership (EDCTP)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11117,"fairsharing_record_id":1848,"organisation_id":2812,"relation":"funds","created_at":"2023-11-29T10:56:12.881Z","updated_at":"2023-11-29T10:56:12.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11120,"fairsharing_record_id":1848,"organisation_id":4184,"relation":"funds","created_at":"2023-11-29T10:56:13.119Z","updated_at":"2023-11-29T10:56:13.119Z","grant_id":null,"is_lead":false,"saved_state":{"id":4184,"name":"Health and Care Research Wales","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11115,"fairsharing_record_id":1848,"organisation_id":4180,"relation":"funds","created_at":"2023-11-29T10:56:12.449Z","updated_at":"2023-11-29T10:56:12.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":4180,"name":"Pancreatic Cancer UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11121,"fairsharing_record_id":1848,"organisation_id":2263,"relation":"collaborates_on","created_at":"2023-11-29T10:56:13.736Z","updated_at":"2023-11-29T10:56:13.736Z","grant_id":null,"is_lead":false,"saved_state":{"id":2263,"name":"Open Research and Contributor ID Initiative","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":11116,"fairsharing_record_id":1848,"organisation_id":4181,"relation":"funds","created_at":"2023-11-29T10:56:12.688Z","updated_at":"2023-11-29T10:56:12.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":4181,"name":"Medical research foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":951,"fairsharing_record_id":1848,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:50.208Z","updated_at":"2022-02-10T11:52:19.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11118,"fairsharing_record_id":1848,"organisation_id":4182,"relation":"funds","created_at":"2023-11-29T10:56:12.890Z","updated_at":"2023-11-29T10:56:12.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":4182,"name":"MQ: Transforming Mental Health","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11119,"fairsharing_record_id":1848,"organisation_id":4183,"relation":"funds","created_at":"2023-11-29T10:56:13.098Z","updated_at":"2023-11-29T10:56:13.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":4183,"name":"Yorkshire Cancer Research","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUFEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--884bcafc4bda9adda98ec81a3433df8677d7f15c/Europe%20PMC%20Logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1849","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:31:04.172Z","metadata":{"doi":"10.25504/FAIRsharing.2ajtcf","name":"Catalytic Site Atlas","status":"deprecated","contacts":[{"contact_name":"Nicholas Furnham","contact_email":"nickf@ebi.ac.uk","contact_orcid":"0000-0002-7532-1269"}],"homepage":"http://www.ebi.ac.uk/thornton-srv/databases/CSA/","identifier":1849,"description":"The Catalytic Site Atlas (CSA) is a database documenting enzyme active sites and catalytic residues in enzymes of 3D structure. It uses a defined classification for catalytic residues which includes only those residues thought to be directly involved in some aspect of the reaction catalysed by an enzyme.","abbreviation":"CSA","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/CSA_NEW/help.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now obsolete and, together with MACiE (https://fairsharing.org/FAIRsharing.7xkx69), has formed the basis of the M-CSA resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000309","bsg-d000309"],"name":"FAIRsharing record for: Catalytic Site Atlas","abbreviation":"CSA","url":"https://fairsharing.org/10.25504/FAIRsharing.2ajtcf","doi":"10.25504/FAIRsharing.2ajtcf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Catalytic Site Atlas (CSA) is a database documenting enzyme active sites and catalytic residues in enzymes of 3D structure. It uses a defined classification for catalytic residues which includes only those residues thought to be directly involved in some aspect of the reaction catalysed by an enzyme.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Enzyme","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":361,"pubmed_id":14681376,"title":"The Catalytic Site Atlas: a resource of catalytic sites and residues identified in enzymes using structural data.","year":2003,"url":"http://doi.org/10.1093/nar/gkh028","authors":"Porter CT., Bartlett GJ., Thornton JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh028","created_at":"2021-09-30T08:22:58.800Z","updated_at":"2021-09-30T08:22:58.800Z"},{"id":1610,"pubmed_id":24319146,"title":"The Catalytic Site Atlas 2.0: cataloging catalytic sites and residues identified in enzymes.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1243","authors":"Furnham N,Holliday GL,de Beer TA,Jacobsen JO,Pearson WR,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1243","created_at":"2021-09-30T08:25:20.458Z","updated_at":"2021-09-30T11:29:15.745Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1632,"relation":"undefined"}],"grants":[{"id":956,"fairsharing_record_id":1849,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:24:50.396Z","updated_at":"2021-09-30T09:24:50.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":952,"fairsharing_record_id":1849,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:50.232Z","updated_at":"2021-09-30T09:24:50.232Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":955,"fairsharing_record_id":1849,"organisation_id":1836,"relation":"funds","created_at":"2021-09-30T09:24:50.354Z","updated_at":"2021-09-30T09:24:50.354Z","grant_id":null,"is_lead":false,"saved_state":{"id":1836,"name":"Midwest Center for Structural Genomics, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":953,"fairsharing_record_id":1849,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:50.263Z","updated_at":"2021-09-30T09:29:51.693Z","grant_id":439,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"081989/Z/07/A","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":954,"fairsharing_record_id":1849,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:24:50.313Z","updated_at":"2021-09-30T09:30:45.931Z","grant_id":858,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","grant":"DE-AC02-06CH11357","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1846","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:33.908Z","metadata":{"doi":"10.25504/FAIRsharing.paz6mh","name":"BioModels","status":"ready","contacts":[{"contact_name":"BioModels Team","contact_email":"biomodels-cura@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biomodels/","citations":[{"doi":"10.1093/nar/gkz1055","pubmed_id":31701150,"publication_id":2767}],"identifier":1846,"description":"BioModels is a repository of computational models of biological processes. It allows users to search and retrieve mathematical models published in the literature. Many models are manually curated (to ensure reproducibility) and extensively cross-linked to publicly available reference information.","abbreviation":"BioModels","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/biomodels/faq","name":"BioModels FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"biomodels-net-support@lists.sf.net","name":"Support Mailing List","type":"Mailing list"},{"url":"https://lists.sourceforge.net/lists/listinfo/biomodels-net-discuss","name":"BioModels Mailing List","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/biomodels/content/news","name":"News","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biomodels/agedbrain","name":"Model space in neurodegeneration - model landscape map","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/biomodels-database-quick-tour","name":"Biomodels database quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/biomodels/courses","name":"Courses","type":"Training documentation"},{"url":"https://twitter.com/biomodels","name":"@biomodels","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/rdf/services/sparql","name":"SPARQL Querying"},{"url":"https://www.ebi.ac.uk/biomodels/tools/converters/","name":"SBFC Online"},{"url":"https://bitbucket.org/biomodels/biomodelswsclient","name":"Java library for RESTful Web Services"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010789","name":"re3data:r3d100010789","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001993","name":"SciCrunch:RRID:SCR_001993","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ebi.ac.uk/biomodels/model/submission-guidelines-and-agreement","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000306","bsg-d000306"],"name":"FAIRsharing record for: BioModels","abbreviation":"BioModels","url":"https://fairsharing.org/10.25504/FAIRsharing.paz6mh","doi":"10.25504/FAIRsharing.paz6mh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioModels is a repository of computational models of biological processes. It allows users to search and retrieve mathematical models published in the literature. Many models are manually curated (to ensure reproducibility) and extensively cross-linked to publicly available reference information.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17081},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11334},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11835},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12242}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Systems Biology"],"domains":["Mathematical model","Network model","Biological process","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":123,"pubmed_id":29106614,"title":"BioModels: expanding horizons to include more modelling approaches and formats.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1023","authors":"Glont M,Nguyen TVN,Graesslin M,Halke R,Ali R,Schramm J,Wimalaratne SM,Kothamachu VB,Rodriguez N,Swat MJ,Eils J,Eils R,Laibe C,Malik-Sheriff RS,Chelliah V,Le Novere N,Hermjakob H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1023","created_at":"2021-09-30T08:22:33.537Z","updated_at":"2021-09-30T11:28:42.916Z"},{"id":352,"pubmed_id":16381960,"title":"BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems.","year":2005,"url":"http://doi.org/10.1093/nar/gkj092","authors":"Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep JL., Hucka M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj092","created_at":"2021-09-30T08:22:57.883Z","updated_at":"2021-09-30T08:22:57.883Z"},{"id":811,"pubmed_id":26225232,"title":"BioModels: Content, Features, Functionality, and Use.","year":2015,"url":"http://doi.org/10.1002/psp4.3","authors":"Juty N, Ali R, Glont M, Keating S, Rodriguez N, Swat MJ, Wimalaratne SM, Hermjakob H, Le Novère N, Laibe C, Chelliah V.","journal":"CPT Pharmacometrics Syst Pharmacol.","doi":"10.1002/psp4.3","created_at":"2021-09-30T08:23:49.480Z","updated_at":"2021-09-30T08:23:49.480Z"},{"id":2767,"pubmed_id":31701150,"title":"BioModels-15 years of sharing computational models in life science.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1055","authors":"Malik-Sheriff RS,Glont M,Nguyen TVN,Tiwari K,Roberts MG,Xavier A,Vu MT,Men J,Maire M,Kananathan S,Fairbanks EL,Meyer JP,Arankalle C,Varusai TM,Knight-Schrijver V,Li L,Duenas-Roca C,Dass G,Keating SM,Park YM,Buso N,Rodriguez N,Hucka M,Hermjakob H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1055","created_at":"2021-09-30T08:27:40.070Z","updated_at":"2021-09-30T11:29:43.403Z"}],"licence_links":[{"licence_name":"Biomodels Terms of Use","licence_id":81,"licence_url":"http://www.ebi.ac.uk/biomodels-main/termsofuse","link_id":2363,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2364,"relation":"undefined"}],"grants":[{"id":914,"fairsharing_record_id":1846,"organisation_id":2498,"relation":"maintains","created_at":"2021-09-30T09:24:48.866Z","updated_at":"2021-09-30T09:24:48.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":2498,"name":"SBML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":915,"fairsharing_record_id":1846,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:48.903Z","updated_at":"2021-09-30T09:31:22.684Z","grant_id":1142,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"Multimod - BB/N019482/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":913,"fairsharing_record_id":1846,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:48.828Z","updated_at":"2021-09-30T09:24:48.828Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":916,"fairsharing_record_id":1846,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:48.932Z","updated_at":"2021-09-30T09:24:48.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":918,"fairsharing_record_id":1846,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:24:48.987Z","updated_at":"2021-09-30T09:24:48.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":917,"fairsharing_record_id":1846,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:24:48.956Z","updated_at":"2021-09-30T09:30:18.581Z","grant_id":649,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"TransQST - 116030","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":10017,"fairsharing_record_id":1846,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.904Z","updated_at":"2022-10-13T09:43:38.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1847","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:31.976Z","metadata":{"doi":"10.25504/FAIRsharing.e58gcm","name":"Chemical Component Dictionary","status":"ready","contacts":[{"contact_name":"Help desk","contact_email":"pdbehelp@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/pdbe-srv/pdbechem/","identifier":1847,"description":"The Chemical Component Dictionary is an external reference file describing all residue and small molecule components found in Protein Data Bank entries. It contains detailed chemical descriptions for standard and modified amino acids/nucleotides, small molecule ligands, and solvent molecules. Each chemical definition includes descriptions of chemical properties such as stereochemical assignments, aromatic bond assignments, idealized coordinates, chemical descriptors (SMILES \u0026 InChI), and systematic chemical names.","abbreviation":"CCD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/pdbe-srv/pdbechem/doc/chem_comp/help.htm","name":"Help Pages","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe-srv/pdbechem/doc/chem_comp/diagram.htm","name":"Data Model","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/pdbechem-searching-for-small-molecules-and-small-molecule-fragments","name":"PDBeChem: Searching for small molecules and small molecule fragments","type":"TeSS links to training materials"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/pdbe-site/pdbemotif/","name":"PBDe Motif"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000307","bsg-d000307"],"name":"FAIRsharing record for: Chemical Component Dictionary","abbreviation":"CCD","url":"https://fairsharing.org/10.25504/FAIRsharing.e58gcm","doi":"10.25504/FAIRsharing.e58gcm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chemical Component Dictionary is an external reference file describing all residue and small molecule components found in Protein Data Bank entries. It contains detailed chemical descriptions for standard and modified amino acids/nucleotides, small molecule ligands, and solvent molecules. Each chemical definition includes descriptions of chemical properties such as stereochemical assignments, aromatic bond assignments, idealized coordinates, chemical descriptors (SMILES \u0026 InChI), and systematic chemical names.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11770}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry"],"domains":["Chemical structure","Chemical entity","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1598,"pubmed_id":14681397,"title":"E-MSD: an integrated data resource for bioinformatics.","year":2003,"url":"http://doi.org/10.1093/nar/gkh078","authors":"Golovin A,Oldfield TJ,Tate JG,Velankar S,Barton GJ,Boutselakis H,Dimitropoulos D,Fillon J,Hussain A,Ionides JM,John M,Keller PA,Krissinel E,McNeil P,Naim A,Newman R,Pajon A,Pineda J,Rachedi A,Copeland J,Sitnov A,Sobhany S,Suarez-Uruena A,Swaminathan GJ,Tagari M,Tromm S,Vranken W,Henrick K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh078","created_at":"2021-09-30T08:25:19.185Z","updated_at":"2021-09-30T11:29:15.245Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":817,"relation":"undefined"}],"grants":[{"id":920,"fairsharing_record_id":1847,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:49.066Z","updated_at":"2021-09-30T09:24:49.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":919,"fairsharing_record_id":1847,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:49.028Z","updated_at":"2021-09-30T09:24:49.028Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":921,"fairsharing_record_id":1847,"organisation_id":3263,"relation":"maintains","created_at":"2021-09-30T09:24:49.105Z","updated_at":"2021-09-30T09:24:49.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1830","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:05.543Z","metadata":{"doi":"10.25504/FAIRsharing.bsawmk","name":"TropGENE DB","status":"ready","contacts":[{"contact_name":"Chantal Hamelin","contact_email":"chantal.hamelin@cirad.fr"}],"homepage":"http://tropgenedb.cirad.fr/","identifier":1830,"description":"TropGENE DB is a database that manages genetic and genomic information about tropical crops studied by Cirad. The database is organised into crop specific modules.","abbreviation":"TropGENE DB","data_curation":{"url":"http://tropgenedb.cirad.fr/tropgene/JSP/staff.jsp","type":"manual/automated"},"support_links":[{"url":"http://tropgenedb.cirad.fr/tropgene/JSP/gui_doc.jsp","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://tropgenedb.cirad.fr/tropgene/downloads/tropgene_data_submission.pdf","type":"open","notes":"Submission templates (Microsoft Excel files) can be downloaded and filled."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000290","bsg-d000290"],"name":"FAIRsharing record for: TropGENE DB","abbreviation":"TropGENE DB","url":"https://fairsharing.org/10.25504/FAIRsharing.bsawmk","doi":"10.25504/FAIRsharing.bsawmk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TropGENE DB is a database that manages genetic and genomic information about tropical crops studied by Cirad. The database is organised into crop specific modules.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16743}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Gene","Genome","Genotype"],"taxonomies":["Coffea","Elaeis","Gossypium","Hevea","Musa","Oryza","Saccharum officinarum","Theobroma cacao"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":336,"pubmed_id":23161680,"title":"TropGeneDB, the multi-tropical crop information system updated and extended.","year":2012,"url":"http://doi.org/10.1093/nar/gks1105","authors":"Hamelin C., Sempere G., Jouffe V., Ruiz M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1105","created_at":"2021-09-30T08:22:56.133Z","updated_at":"2021-09-30T08:22:56.133Z"},{"id":1492,"pubmed_id":14681435,"title":"TropGENE-DB, a multi-tropical crop information system.","year":2003,"url":"http://doi.org/10.1093/nar/gkh105","authors":"Ruiz M,Rouard M,Raboin LM,Lartaud M,Lagoda P,Courtois B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh105","created_at":"2021-09-30T08:25:07.040Z","updated_at":"2021-09-30T11:29:10.777Z"}],"licence_links":[],"grants":[{"id":860,"fairsharing_record_id":1830,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.788Z","updated_at":"2021-09-30T09:24:46.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1831","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:52.761Z","metadata":{"doi":"10.25504/FAIRsharing.k1p51k","name":"CleanEx","status":"deprecated","contacts":[{"contact_name":"Viviane Praz","contact_email":"Viviane.Praz@epfl.ch"}],"homepage":"http://www.cleanex.isb-sib.ch/","identifier":1831,"description":"CleanEx is a database which provides access to public gene expression data via unique approved gene symbols and which represents heterogeneous expression data produced by different technologies in a way that facilitates joint analysis and cross-dataset comparisons.","abbreviation":"CleanEx","data_curation":{"type":"not found"},"support_links":[{"url":"Philipp.Bucher@epfl.ch","type":"Support email"},{"url":"http://cleanex.vital-it.ch/tutorial","type":"Help documentation"},{"url":"http://cleanex.vital-it.ch/current/CleanEx_manual.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000291","bsg-d000291"],"name":"FAIRsharing record for: CleanEx","abbreviation":"CleanEx","url":"https://fairsharing.org/10.25504/FAIRsharing.k1p51k","doi":"10.25504/FAIRsharing.k1p51k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CleanEx is a database which provides access to public gene expression data via unique approved gene symbols and which represents heterogeneous expression data produced by different technologies in a way that facilitates joint analysis and cross-dataset comparisons.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12632}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1165,"pubmed_id":14681477,"title":"CleanEx: a database of heterogeneous gene expression data based on a consistent gene nomenclature.","year":2003,"url":"http://doi.org/10.1093/nar/gkh107","authors":"Praz V,Jagannathan V,Bucher P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh107","created_at":"2021-09-30T08:24:29.512Z","updated_at":"2021-09-30T11:29:01.701Z"}],"licence_links":[],"grants":[{"id":861,"fairsharing_record_id":1831,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:24:46.825Z","updated_at":"2021-09-30T09:32:46.166Z","grant_id":1769,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31‐063933","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9160,"fairsharing_record_id":1831,"organisation_id":2682,"relation":"maintains","created_at":"2022-04-11T12:07:18.443Z","updated_at":"2022-04-11T12:07:18.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1832","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:42.830Z","metadata":{"doi":"10.25504/FAIRsharing.e4n3an","name":"Information system for G protein-coupled receptors","status":"ready","contacts":[{"contact_name":"David Gloriam","contact_email":"david.gloriam@sund.ku.dk","contact_orcid":"0000-0002-4299-7561"}],"homepage":"https://gpcrdb.org/","citations":[{"doi":"10.1093/nar/gkac1013","pubmed_id":36395823,"publication_id":3746}],"identifier":1832,"description":"The GPCRDB is a molecular-class information system that collects, combines, validates and stores large amounts of heterogenous data on G protein-coupled receptors (GPCRs). The GPCRDB contains data on sequences, ligand binding constants and mutations. In addition, many different types of computationally derived data are stored such as multiple sequence alignments and homology models.","abbreviation":"GPCRdb","data_curation":{"type":"manual"},"support_links":[{"url":"info@gpcrdb.org","name":"General GPCRdb contact address","type":"Support email"},{"url":"http://docs.gpcrdb.org/index.html","name":"GPCRdb documentation and help pages","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCy_OEfBkOdshK9Tsl08nvAw","name":"GPCRdb YouTube channel with updates and demonstrations","type":"Video"},{"url":"https://twitter.com/gpcrdb","name":"@gpcrdb","type":"Twitter"}],"year_creation":1993,"data_versioning":"yes","associated_tools":[{"url":"https://gpcrdb.org/construct/design","name":"Construct Design Tool"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gpcrdb.org/#","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000292","bsg-d000292"],"name":"FAIRsharing record for: Information system for G protein-coupled receptors","abbreviation":"GPCRdb","url":"https://fairsharing.org/10.25504/FAIRsharing.e4n3an","doi":"10.25504/FAIRsharing.e4n3an","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GPCRDB is a molecular-class information system that collects, combines, validates and stores large amounts of heterogenous data on G protein-coupled receptors (GPCRs). The GPCRDB contains data on sequences, ligand binding constants and mutations. In addition, many different types of computationally derived data are stored such as multiple sequence alignments and homology models.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12633}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Molecular biology","Life Science"],"domains":["Protein structure","Structure-based sequence alignment","Drug","Bioactivity","Mutation","Small molecule","Sequence alignment","Protein","Single nucleotide polymorphism","Homologous","Orthologous"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","Netherlands"],"publications":[{"id":103,"pubmed_id":33270898,"title":"GPCRdb in 2021: integrating GPCR sequence, structure and function.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1080","authors":"Kooistra AJ,Mordalski S,Pandy-Szekeres G,Esguerra M,Mamyrbekov A,Munk C,Keseru GM,Gloriam DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1080","created_at":"2021-09-30T08:22:31.494Z","updated_at":"2021-09-30T11:28:42.733Z"},{"id":337,"pubmed_id":21045054,"title":"GPCRDB: information system for G protein-coupled receptors.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1009","authors":"Vroling B., Sanders M., Baakman C., Borrmann A., Verhoeven S., Klomp J., Oliveira L., de Vlieg J., Vriend G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1009","created_at":"2021-09-30T08:22:56.275Z","updated_at":"2021-09-30T08:22:56.275Z"},{"id":1621,"pubmed_id":9399852,"title":"GPCRDB: an information system for G protein-coupled receptors.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.275","authors":"Horn F,Weare J,Beukers MW,Horsch S,Bairoch A,Chen W,Edvardsen O,Campagne F,Vriend G","journal":"Nucleic Acids Research","doi":"10.1093/nar/26.1.275","created_at":"2021-09-30T08:25:21.666Z","updated_at":"2021-09-30T11:29:16.530Z"},{"id":1623,"pubmed_id":12520006,"title":"GPCRDB information system for G protein-coupled receptors.","year":2003,"url":"http://doi.org/10.1093/nar/gkg103","authors":"Horn F,Bettler E,Oliveira L,Campagne F,Cohen FE,Vriend G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg103","created_at":"2021-09-30T08:25:21.934Z","updated_at":"2021-09-30T11:29:16.630Z"},{"id":1632,"pubmed_id":24304901,"title":"GPCRDB: an information system for G protein-coupled receptors.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1255","authors":"Isberg V,Vroling B,van der Kant R,Li K,Vriend G,Gloriam D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1255","created_at":"2021-09-30T08:25:22.860Z","updated_at":"2021-09-30T11:29:17.218Z"},{"id":2883,"pubmed_id":26582914,"title":"GPCRdb: an information system for G protein-coupled receptors.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1178","authors":"Isberg V,Mordalski S,Munk C,Rataj K,Harpsoe K,Hauser AS,Vroling B,Bojarski AJ,Vriend G,Gloriam DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1178","created_at":"2021-09-30T08:27:54.913Z","updated_at":"2021-09-30T11:29:48.037Z"},{"id":2884,"pubmed_id":27155948,"title":"GPCRdb: the G protein-coupled receptor database - an introduction.","year":2016,"url":"http://doi.org/10.1111/bph.13509","authors":"Munk C,Isberg V,Mordalski S,Harpsoe K,Rataj K,Hauser AS,Kolb P,Bojarski AJ,Vriend G,Gloriam DE","journal":"Br J Pharmacol","doi":"10.1111/bph.13509","created_at":"2021-09-30T08:27:55.031Z","updated_at":"2021-09-30T08:27:55.031Z"},{"id":2885,"pubmed_id":29155946,"title":"GPCRdb in 2018: adding GPCR structure models and ligands.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1109","authors":"Pandy-Szekeres G,Munk C,Tsonkov TM,Mordalski S,Harpsoe K,Hauser AS,Bojarski AJ,Gloriam DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1109","created_at":"2021-09-30T08:27:55.147Z","updated_at":"2021-09-30T11:29:48.137Z"},{"id":3746,"pubmed_id":36395823,"title":"GPCRdb in 2023: state-specific structure models using AlphaFold2 and new ligand resources","year":2022,"url":"https://doi.org/10.1093/nar/gkac1013","authors":"Pándy-Szekeres, Gáspár, Jimmy Caroli, Alibek Mamyrbekov, Ali A. Kermani, György M. Keserű, Albert J. Kooistra, and David E. Gloriam","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1013","created_at":"2022-12-21T20:34:01.052Z","updated_at":"2022-12-21T20:34:01.052Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2098,"relation":"undefined"}],"grants":[{"id":868,"fairsharing_record_id":1832,"organisation_id":1732,"relation":"funds","created_at":"2021-09-30T09:24:47.100Z","updated_at":"2021-09-30T09:29:10.536Z","grant_id":125,"is_lead":false,"saved_state":{"id":1732,"name":"Lundbeck Foundation, Copenhagen, Denmark","grant":"R163-2013-16327","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":872,"fairsharing_record_id":1832,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:24:47.257Z","updated_at":"2021-09-30T09:31:29.625Z","grant_id":1195,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2014/12/T/NZ2/00529","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":869,"fairsharing_record_id":1832,"organisation_id":374,"relation":"funds","created_at":"2021-09-30T09:24:47.138Z","updated_at":"2021-09-30T09:32:28.876Z","grant_id":1638,"is_lead":false,"saved_state":{"id":374,"name":"Carlsberg Foundation, Copenhagen, Denmark","grant":"R77-A6854","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8053,"fairsharing_record_id":1832,"organisation_id":1732,"relation":"funds","created_at":"2021-09-30T09:30:39.997Z","updated_at":"2021-09-30T09:30:40.052Z","grant_id":812,"is_lead":false,"saved_state":{"id":1732,"name":"Lundbeck Foundation, Copenhagen, Denmark","grant":"R54-A5441","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":865,"fairsharing_record_id":1832,"organisation_id":465,"relation":"maintains","created_at":"2021-09-30T09:24:46.980Z","updated_at":"2021-09-30T09:24:46.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":465,"name":"Centre for Molecular and Biomolecular Informatics (CMBI), Nijmegen, Netherland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":866,"fairsharing_record_id":1832,"organisation_id":702,"relation":"maintains","created_at":"2021-09-30T09:24:47.017Z","updated_at":"2021-09-30T09:24:47.017Z","grant_id":null,"is_lead":true,"saved_state":{"id":702,"name":"Department of Drug Design and Pharmacology, University of Copenhagen","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":863,"fairsharing_record_id":1832,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:24:46.908Z","updated_at":"2021-09-30T09:30:16.921Z","grant_id":635,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"DE-ORPHAN 639125","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":864,"fairsharing_record_id":1832,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:24:46.947Z","updated_at":"2021-09-30T09:30:54.850Z","grant_id":933,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"PL 950224","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":871,"fairsharing_record_id":1832,"organisation_id":638,"relation":"funds","created_at":"2021-09-30T09:24:47.218Z","updated_at":"2021-09-30T09:31:50.252Z","grant_id":1349,"is_lead":false,"saved_state":{"id":638,"name":"Danish Council for Independent Research, Denmark","grant":"1331-00180","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":870,"fairsharing_record_id":1832,"organisation_id":2152,"relation":"funds","created_at":"2021-09-30T09:24:47.176Z","updated_at":"2021-09-30T09:32:23.614Z","grant_id":1599,"is_lead":false,"saved_state":{"id":2152,"name":"NewProt project, European Union","grant":"289350","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":867,"fairsharing_record_id":1832,"organisation_id":1714,"relation":"funds","created_at":"2021-09-30T09:24:47.059Z","updated_at":"2021-09-30T09:32:31.989Z","grant_id":1663,"is_lead":false,"saved_state":{"id":1714,"name":"Life sciences, genomics and biotechnology for health, European Commission (EC) FP6","grant":"LHSG-CT-2004-512092","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1852","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:49.969Z","metadata":{"doi":"10.25504/FAIRsharing.7zffgc","name":"Gene Ontology Annotation Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"goa@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/GOA","citations":[{"doi":"10.1093/nar/gku1113","pubmed_id":25378336,"publication_id":1578}],"identifier":1852,"description":"The GO Annotation Database (GOA) provides Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB), RNA molecules from RNACentral and protein complexes from the Complex Portal. GOA files contain a mixture of manual annotation supplied by members of the Gene Onotology Consortium and computationally assigned GO terms describing gene products. Annotation type is clearly indicated by associated evidence codes and there are links to the source data.","abbreviation":"GOA","data_curation":{"url":"https://www.ebi.ac.uk/GOA/newto","type":"manual/automated","notes":"Manual Annotation Efforts and Electronic Annotation Methods"},"support_links":[{"url":"http://www.ebi.ac.uk/GOA/contactus","name":"Contact GOA","type":"Contact form"},{"url":"https://www.ebi.ac.uk/GOA/faq","name":"GOA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ebi.ac.uk/GOA/newto","name":"GOA Annotation Guide","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"url":"https://www.ebi.ac.uk/GOA/faq","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000313","bsg-d000313"],"name":"FAIRsharing record for: Gene Ontology Annotation Database","abbreviation":"GOA","url":"https://fairsharing.org/10.25504/FAIRsharing.7zffgc","doi":"10.25504/FAIRsharing.7zffgc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GO Annotation Database (GOA) provides Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB), RNA molecules from RNACentral and protein complexes from the Complex Portal. GOA files contain a mixture of manual annotation supplied by members of the Gene Onotology Consortium and computationally assigned GO terms describing gene products. Annotation type is clearly indicated by associated evidence codes and there are links to the source data.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11337},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12162}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Gene Ontology enrichment","Annotation","Ribonucleic acid","Protein-containing complex","Protein","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":350,"pubmed_id":18957448,"title":"The GOA database in 2009--an integrated Gene Ontology Annotation resource.","year":2008,"url":"http://doi.org/10.1093/nar/gkn803","authors":"Barrell D., Dimmer E., Huntley RP., Binns D., O'Donovan C., Apweiler R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn803","created_at":"2021-09-30T08:22:57.674Z","updated_at":"2021-09-30T08:22:57.674Z"},{"id":1578,"pubmed_id":25378336,"title":"The GOA database: gene Ontology annotation updates for 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku1113","authors":"Huntley RP,Sawford T,Mutowo-Meullenet P,Shypitsyna A,Bonilla C,Martin MJ,O'Donovan C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1113","created_at":"2021-09-30T08:25:16.884Z","updated_at":"2021-09-30T11:29:14.411Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2368,"relation":"undefined"}],"grants":[{"id":977,"fairsharing_record_id":1852,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:51.539Z","updated_at":"2021-09-30T09:29:01.077Z","grant_id":56,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5P41HG002273-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7949,"fairsharing_record_id":1852,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:30:01.975Z","updated_at":"2021-09-30T09:30:02.023Z","grant_id":522,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1U41HG006104-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":974,"fairsharing_record_id":1852,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:51.427Z","updated_at":"2021-09-30T09:24:51.427Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":975,"fairsharing_record_id":1852,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:51.459Z","updated_at":"2021-09-30T09:24:51.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":973,"fairsharing_record_id":1852,"organisation_id":2290,"relation":"funds","created_at":"2021-09-30T09:24:51.389Z","updated_at":"2021-09-30T09:30:28.221Z","grant_id":725,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK (PDUK)","grant":"G-1307","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":976,"fairsharing_record_id":1852,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:24:51.497Z","updated_at":"2021-09-30T09:31:41.513Z","grant_id":1285,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","grant":"RG/13/5/30112","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1841","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:10.074Z","metadata":{"doi":"10.25504/FAIRsharing.3zqvaf","name":"Sol Genomics Network","status":"ready","contacts":[{"contact_email":"sgn-feedback@solgenomics.net"}],"homepage":"https://solgenomics.net","citations":[{"doi":"10.1093/nar/gku1195","pubmed_id":25428362,"publication_id":1263}],"identifier":1841,"description":"The Sol Genomics Network (SGN) is a database and website dedicated to the genomic information of the Solanaceae family, which includes species such as tomato, potato, pepper, petunia and eggplant.","abbreviation":"SGN","data_curation":{"type":"not found"},"support_links":[{"url":"https://solgenomics.net/contact/form/","name":"Contact SGN","type":"Contact form"},{"url":"https://solgenomics.net/help/faq.pl","name":"SGN FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://solgenomics.net/forum/topics.pl","name":"SGN Forum","type":"Forum"},{"url":"https://solgenomics.net/help/index.pl","name":"SGN Help","type":"Help documentation"},{"url":"https://twitter.com/solgenomics","name":"@solgenomics","type":"Twitter"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012078","name":"re3data:r3d100012078","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004933","name":"SciCrunch:RRID:SCR_004933","portal":"SciCrunch"}],"data_access_condition":{"url":"https://solgenomics.net/ftp/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://solgenomics.net/help/index.pl","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000301","bsg-d000301"],"name":"FAIRsharing record for: Sol Genomics Network","abbreviation":"SGN","url":"https://fairsharing.org/10.25504/FAIRsharing.3zqvaf","doi":"10.25504/FAIRsharing.3zqvaf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sol Genomics Network (SGN) is a database and website dedicated to the genomic information of the Solanaceae family, which includes species such as tomato, potato, pepper, petunia and eggplant.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11618}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Genomics","Agriculture","Comparative Genomics"],"domains":["Network model","Small molecule","Pathway model","Genome"],"taxonomies":["Rubiaceae","Solanaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":355,"pubmed_id":20935049,"title":"The Sol Genomics Network (solgenomics.net): growing tomatoes using Perl.","year":2010,"url":"http://doi.org/10.1093/nar/gkq866","authors":"Bombarely A., Menda N., Tecle IY., Buels RM., Strickler S., Fischer-York T., Pujar A., Leto J., Gosselin J., Mueller LA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq866","created_at":"2021-09-30T08:22:58.192Z","updated_at":"2021-09-30T08:22:58.192Z"},{"id":1263,"pubmed_id":25428362,"title":"The Sol Genomics Network (SGN)--from genotype to phenotype to breeding.","year":2014,"url":"http://doi.org/10.1093/nar/gku1195","authors":"Fernandez-Pozo N,Menda N,Edwards JD,Saha S,Tecle IY,Strickler SR,Bombarely A,Fisher-York T,Pujar A,Foerster H,Yan A,Mueller LA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1195","created_at":"2021-09-30T08:24:40.915Z","updated_at":"2021-09-30T11:29:04.434Z"}],"licence_links":[{"licence_name":"2009 Toronto Statement on Benefits and Best Practices of Rapid Pre-Publication Data Release","licence_id":1,"licence_url":"https://dx.doi.org/10.1038%2F461168a","link_id":2370,"relation":"undefined"}],"grants":[{"id":892,"fairsharing_record_id":1841,"organisation_id":2120,"relation":"funds","created_at":"2021-09-30T09:24:48.044Z","updated_at":"2021-09-30T09:24:48.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":2120,"name":"Nestle, Vevey, Switzerland","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":893,"fairsharing_record_id":1841,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:48.086Z","updated_at":"2021-09-30T09:29:34.487Z","grant_id":307,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"9975866","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":895,"fairsharing_record_id":1841,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:24:48.166Z","updated_at":"2021-09-30T09:24:48.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":896,"fairsharing_record_id":1841,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:48.203Z","updated_at":"2021-09-30T09:24:48.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":894,"fairsharing_record_id":1841,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:48.128Z","updated_at":"2021-09-30T09:32:02.361Z","grant_id":1440,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"2007-02777","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8408,"fairsharing_record_id":1841,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:31.001Z","updated_at":"2021-09-30T09:32:31.061Z","grant_id":1656,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0820612","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8432,"fairsharing_record_id":1841,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:37.185Z","updated_at":"2021-09-30T09:32:37.245Z","grant_id":1703,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"9872617","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1853","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:04:47.180Z","metadata":{"doi":"10.25504/FAIRsharing.q1fdkc","name":"Integrated relational Enzyme database","status":"ready","contacts":[{"contact_name":"General EBI Support","contact_email":"support@ebi.ac.uk","contact_orcid":null}],"homepage":"http://www.ebi.ac.uk/intenz","citations":[],"identifier":1853,"description":"IntEnz is a freely available resource focused on enzyme nomenclature. IntEnz contains the recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB) on the nomenclature and classification of enzyme-catalysed reactions.","abbreviation":"IntEnz","data_curation":{"url":"https://www.ebi.ac.uk/intenz/advice.jsp","type":"manual","notes":"New enzymes are reviewed by internal and external experts"},"support_links":[{"url":"https://www.ebi.ac.uk/intenz/spotlight.jsp","name":"Enzyme Spotlights","type":"Blog/News"},{"url":"http://www.ebi.ac.uk/intenz/contact.jsp","name":"Contact IntEnz","type":"Contact form"},{"url":"http://www.ebi.ac.uk/intenz/faq.jsp","name":"IntEnz FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/intenz/statistics.jsp","name":"Statistics","type":"Help documentation"},{"url":"https://www.oxfordjournals.org/nar/database/summary/508","name":"NAR Database Summary Page","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/intenz/rules.jsp","name":"Classification Rules","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/intenz/advice.jsp","name":"EC Guidelines","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010803","name":"re3data:r3d100010803","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002992","name":"SciCrunch:RRID:SCR_002992","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/intenz/submissions.jsp","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000314","bsg-d000314"],"name":"FAIRsharing record for: Integrated relational Enzyme database","abbreviation":"IntEnz","url":"https://fairsharing.org/10.25504/FAIRsharing.q1fdkc","doi":"10.25504/FAIRsharing.q1fdkc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IntEnz is a freely available resource focused on enzyme nomenclature. IntEnz contains the recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB) on the nomenclature and classification of enzyme-catalysed reactions.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11338},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12163}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Enzymology"],"domains":["Enzyme Commission number","Enzymatic reaction","Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2750,"pubmed_id":14681451,"title":"IntEnz, the integrated relational enzyme database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh119","authors":"Fleischmann A,Darsow M,Degtyarenko K,Fleischmann W,Boyce S,Axelsen KB,Bairoch A,Schomburg D,Tipton KF,Apweiler R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh119","created_at":"2021-09-30T08:27:38.027Z","updated_at":"2021-09-30T11:29:42.628Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2369,"relation":"undefined"}],"grants":[{"id":978,"fairsharing_record_id":1853,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:51.580Z","updated_at":"2021-09-30T09:24:51.580Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":981,"fairsharing_record_id":1853,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:51.695Z","updated_at":"2021-09-30T09:29:34.236Z","grant_id":305,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":979,"fairsharing_record_id":1853,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:51.619Z","updated_at":"2021-09-30T09:24:51.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9157,"fairsharing_record_id":1853,"organisation_id":1533,"relation":"maintains","created_at":"2022-04-11T12:07:18.275Z","updated_at":"2022-04-11T12:07:18.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1843","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:51:10.220Z","metadata":{"doi":"10.25504/FAIRsharing.drtwnh","name":"figshare","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@figshare.com"}],"homepage":"http://figshare.com/","citations":[],"identifier":1843,"description":"figshare is a generalist, subject-agnostic repository for many different types of digital objects that can be used without cost to researchers. Data can be submitted to the central figshare repository (described here), or institutional repositories using the figshare software can be installed locally, e.g. by universities and publishers. Metadata in figshare is licenced under is CC0. figshare has also partnered with DuraSpace and Chronopolis to offer further assurances that public data will be archived under the stewardship of Chronopolis. figshare is supported through Institutional, Funder, and Governmental service subscriptions.","abbreviation":"figshare","data_curation":{"url":"https://knowledge.figshare.com/curation","type":"manual","notes":"Figshare Curation Services"},"support_links":[{"url":"https://www.facebook.com/FigShare","name":"https://facebook.com/FigShare","type":"Facebook"},{"url":"https://figshare.com/blog","name":"figshare's blog","type":"Blog/News"},{"url":"https://figshare.com/contact","name":"Contact Information","type":"Contact form"},{"url":"https://knowledge.figshare.com","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.figshare.com/","name":"Help Guide","type":"Help documentation"},{"url":"https://vimeo.com/figshare","name":"figshare on Vimeo","type":"Help documentation"},{"url":"https://twitter.com/figshare","name":"@figshare","type":"Twitter"},{"url":"http://figsharecommunity.slack.com/","name":"Slack Community","type":"Forum"},{"url":"info@figshare.com","name":"General Inquiries","type":"Support email"},{"url":"review@figshare.com","name":"Curation Services","type":"Support email"},{"url":"support@figshare.com","name":"Support","type":"Support email"},{"url":"https://support.figshare.com/support/tickets/new","name":"Support Ticket","type":"Contact form"},{"url":"https://knowledge.figshare.com/plus","name":"Figshare+ Platform (20GB to 5TB+)","type":"Other"},{"url":"https://help.figshare.com/article/file-formats-supported-for-in-browser-viewing","name":"Supported File Formats","type":"Help documentation"},{"url":"https://help.figshare.com/article/guide-to-sharing-data-on-figshare-plus","name":"Guide to Sharing Data on Figshare+","type":"Help documentation"},{"url":"https://help.figshare.com/article/figtionary","name":"Figtionary (Glossary \u0026 Open Data Terminology)","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Figshare","name":"figshare Wiki","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://knowledge.figshare.com/app-category/figshare-tools","name":"Apps \u0026 Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010066","name":"re3data:r3d100010066","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004328","name":"SciCrunch:RRID:SCR_004328","portal":"SciCrunch"}],"data_access_condition":{"url":"https://help.figshare.com/article/data-access-policy","type":"open","notes":"Data Access Policy"},"resource_sustainability":{"url":"https://help.figshare.com/article/product-development-at-figshare","name":"Product Development at Figshare"},"data_contact_information":"no","data_preservation_policy":{"url":"https://help.figshare.com/article/file-backup-and-security-policy","name":"Preservation \u0026 Continuity of Access Policy"},"data_deposition_condition":{"url":"https://figshare.com/features","type":"controlled","notes":"Requires authenticated registration. Up to 20 GB of free storage."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000303","bsg-d000303"],"name":"FAIRsharing record for: figshare","abbreviation":"figshare","url":"https://fairsharing.org/10.25504/FAIRsharing.drtwnh","doi":"10.25504/FAIRsharing.drtwnh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: figshare is a generalist, subject-agnostic repository for many different types of digital objects that can be used without cost to researchers. Data can be submitted to the central figshare repository (described here), or institutional repositories using the figshare software can be installed locally, e.g. by universities and publishers. Metadata in figshare is licenced under is CC0. figshare has also partnered with DuraSpace and Chronopolis to offer further assurances that public data will be archived under the stewardship of Chronopolis. figshare is supported through Institutional, Funder, and Governmental service subscriptions.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10766},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10937},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12920}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Resource metadata","Image","Publication","Multimedia","Data transformation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","New Zealand","South Africa","United Kingdom","United States","European Union"],"publications":[{"id":1223,"pubmed_id":21772785,"title":"FigShare.","year":2011,"url":"http://doi.org/10.4103/0976-500X.81919","authors":"Singh J","journal":"J Pharmacol Pharmacother","doi":"10.4103/0976-500X.81919","created_at":"2021-09-30T08:24:36.333Z","updated_at":"2021-09-30T08:24:36.333Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1926,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1924,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1923,"relation":"undefined"},{"licence_name":"Figshare Copyright and Licensing","licence_id":315,"licence_url":"https://figshare.com/terms","link_id":1922,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1927,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1928,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1925,"relation":"undefined"}],"grants":[{"id":901,"fairsharing_record_id":1843,"organisation_id":762,"relation":"maintains","created_at":"2021-09-30T09:24:48.395Z","updated_at":"2021-09-30T09:24:48.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":762,"name":"Digital Science, London, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":899,"fairsharing_record_id":1843,"organisation_id":531,"relation":"undefined","created_at":"2021-09-30T09:24:48.311Z","updated_at":"2021-09-30T09:24:48.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":531,"name":"Clarivate Analytics, US","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":902,"fairsharing_record_id":1843,"organisation_id":2764,"relation":"undefined","created_at":"2021-09-30T09:24:48.436Z","updated_at":"2021-09-30T09:24:48.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":2764,"name":"The Digital Preservation Network (DPN)","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":903,"fairsharing_record_id":1843,"organisation_id":565,"relation":"undefined","created_at":"2021-09-30T09:24:48.487Z","updated_at":"2021-09-30T09:24:48.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":565,"name":"Committee on Publication Ethics (COPE), UK","types":["Charitable foundation"],"is_lead":false,"relation":"undefined"}},{"id":9375,"fairsharing_record_id":1843,"organisation_id":647,"relation":"maintains","created_at":"2022-04-11T12:07:34.121Z","updated_at":"2022-04-11T12:07:34.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":647,"name":"DataCite","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1844","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-26T15:05:28.609Z","metadata":{"doi":"10.25504/FAIRsharing.353yat","name":"DrugBank","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca","contact_orcid":"0000-0002-3207-2434"}],"homepage":"http://www.drugbank.ca/","citations":[],"identifier":1844,"description":"The DrugBank database is a bioinformatics and chemoinformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. It is a freely available to academics.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=drugbank","name":"Feedback Form","type":"Contact form"},{"url":"http://www.drugbank.ca/faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.drugbank.ca/help","name":"Help Center","type":"Help documentation"},{"url":"https://twitter.com/DrugBankDB","name":"@DrugBankDB","type":"Twitter"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://www.drugbank.ca/search/seqquery","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010544","name":"re3data:r3d100010544","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002700","name":"SciCrunch:RRID:SCR_002700","portal":"SciCrunch"}],"data_access_condition":{"url":"https://go.drugbank.com/about#cite","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000304","bsg-d000304"],"name":"FAIRsharing record for: DrugBank","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.353yat","doi":"10.25504/FAIRsharing.353yat","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DrugBank database is a bioinformatics and chemoinformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. It is a freely available to academics.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16491}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Drug","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1156,"pubmed_id":24203711,"title":"DrugBank 4.0: shedding new light on drug metabolism.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1068","authors":"Law V,Knox C,Djoumbou Y,Jewison T,Guo AC,Liu Y,Maciejewski A,Arndt D,Wilson M,Neveu V,Tang A,Gabriel G,Ly C,Adamjee S,Dame ZT,Han B,Zhou Y,Wishart DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1068","created_at":"2021-09-30T08:24:28.555Z","updated_at":"2021-09-30T11:29:01.009Z"},{"id":1481,"pubmed_id":21059682,"title":"DrugBank 3.0: a comprehensive resource for 'omics' research on drugs.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1126","authors":"Knox C,Law V,Jewison T,Liu P,Ly S,Frolkis A,Pon A,Banco K,Mak C,Neveu V,Djoumbou Y,Eisner R,Guo AC,Wishart DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1126","created_at":"2021-09-30T08:25:05.824Z","updated_at":"2021-09-30T11:29:10.168Z"},{"id":1482,"pubmed_id":18048412,"title":"DrugBank: a knowledgebase for drugs, drug actions and drug targets.","year":2007,"url":"http://doi.org/10.1093/nar/gkm958","authors":"Wishart DS,Knox C,Guo AC,Cheng D,Shrivastava S,Tzur D,Gautam B,Hassanali M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm958","created_at":"2021-09-30T08:25:05.923Z","updated_at":"2021-09-30T11:29:10.276Z"},{"id":1494,"pubmed_id":16381955,"title":"DrugBank: a comprehensive resource for in silico drug discovery and exploration.","year":2005,"url":"http://doi.org/10.1093/nar/gkj067","authors":"Wishart DS,Knox C,Guo AC,Shrivastava S,Hassanali M,Stothard P,Chang Z,Woolsey J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj067","created_at":"2021-09-30T08:25:07.300Z","updated_at":"2021-09-30T11:29:10.876Z"},{"id":4207,"pubmed_id":null,"title":"DrugBank 5.0: a major update to the DrugBank database for 2018","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx1037","authors":"Wishart, David S; Feunang, Yannick D; Guo, An C; Lo, Elvis J; Marcu, Ana; Grant, Jason R; Sajed, Tanvir; Johnson, Daniel; Li, Carin; Sayeeda, Zinat; Assempour, Nazanin; Iynkkaran, Ithayavani; Liu, Yifeng; Maciejewski, Adam; Gale, Nicola; Wilson, Alex; Chin, Lucy; Cummings, Ryan; Le, Diana; Pon, Allison; Knox, Craig; Wilson, Michael; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1037","created_at":"2024-03-26T14:53:44.493Z","updated_at":"2024-03-26T14:53:44.493Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":3566,"relation":"applies_to_content"},{"licence_name":"Drugbank - License required for commercial use","licence_id":253,"licence_url":"http://www.drugbank.ca/about","link_id":529,"relation":"applies_to_content"}],"grants":[{"id":904,"fairsharing_record_id":1844,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:48.524Z","updated_at":"2021-09-30T09:32:46.278Z","grant_id":1770,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","grant":"111062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11611,"fairsharing_record_id":1844,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:37.214Z","updated_at":"2024-03-21T13:59:37.214Z","grant_id":null,"is_lead":false,"saved_state":{"id":3309,"name":"Wishart Lab, University of Alberta","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":11631,"fairsharing_record_id":1844,"organisation_id":1107,"relation":"funds","created_at":"2024-03-26T14:57:10.238Z","updated_at":"2024-03-26T14:57:10.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":1107,"name":"Genome Alberta, Alberta, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11629,"fairsharing_record_id":1844,"organisation_id":2799,"relation":"maintains","created_at":"2024-03-26T14:56:33.657Z","updated_at":"2024-03-26T14:56:33.657Z","grant_id":null,"is_lead":true,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":11630,"fairsharing_record_id":1844,"organisation_id":1109,"relation":"funds","created_at":"2024-03-26T14:57:10.232Z","updated_at":"2024-03-26T14:57:10.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1109,"name":"Genome British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11632,"fairsharing_record_id":1844,"organisation_id":1111,"relation":"funds","created_at":"2024-03-26T14:57:10.252Z","updated_at":"2024-03-26T14:57:10.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaGdFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c90d3aad1d158798ad6de7fea711d6211ac556a8/Screenshot%20from%202024-03-26%2014-51-04.png?disposition=inline","exhaustive_licences":true}},{"id":"1855","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:56:16.963Z","metadata":{"doi":"10.25504/FAIRsharing.pypsym","name":"The European Searchable Tumour Line Database","status":"deprecated","contacts":[{"contact_name":"Steven G. E. Marsh","contact_email":"steven.marsh@ucl.ac.uk","contact_orcid":"0000-0003-2855-4120"}],"homepage":"https://www.ebi.ac.uk/ipd/estdab/","citations":[{"doi":"10.1007/s00262-008-0656-5","pubmed_id":19172270,"publication_id":2756}],"identifier":1855,"description":"The European Searchable Tumour Line Database (ESTDAB) Database and Cell Bank provide a service enabling investigators to search online for HLA typed, immunologically characterised tumour cells.","abbreviation":"IPD-ESTDAB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/ipd/estdab/intro.html","name":"About IPD-ESTDAB","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/estdab/contributecells.html","name":"Contributing Cells","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/estdab/ordercells.html","name":"Ordering Cells","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/estdab/collaborators.html","name":"Collaborators","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2020-02-10","deprecation_reason":"The IPD-ESTDAB database has been part of the IPD project since 2003 and represents a legacy system that is no longer under active development, but is provided to the community for reference purposes (see https://doi.org/10.1007/s00251-019-01133-w for more information).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000316","bsg-d000316"],"name":"FAIRsharing record for: The European Searchable Tumour Line Database","abbreviation":"IPD-ESTDAB","url":"https://fairsharing.org/10.25504/FAIRsharing.pypsym","doi":"10.25504/FAIRsharing.pypsym","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Searchable Tumour Line Database (ESTDAB) Database and Cell Bank provide a service enabling investigators to search online for HLA typed, immunologically characterised tumour cells.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunogenetics","Immunology","Biomedical Science"],"domains":["Deoxyribonucleic acid","Cancer","Human leukocyte antigen complex","Tumor","Small molecule","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":368,"pubmed_id":23180793,"title":"IPD--the Immuno Polymorphism Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1140","authors":"Robinson J., Halliwell JA., McWilliam H., Lopez R., Marsh SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1140","created_at":"2021-09-30T08:22:59.558Z","updated_at":"2021-09-30T08:22:59.558Z"},{"id":2756,"pubmed_id":19172270,"title":"The European searchable tumour line database.","year":2009,"url":"http://doi.org/10.1007/s00262-008-0656-5","authors":"Robinson J,Roberts CH,Dodi IA,Madrigal JA,Pawelec G,Wedel L,Marsh SG","journal":"Cancer Immunol Immunother","doi":"10.1007/s00262-008-0656-5","created_at":"2021-09-30T08:27:38.764Z","updated_at":"2021-09-30T08:27:38.764Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":160,"relation":"undefined"}],"grants":[{"id":991,"fairsharing_record_id":1855,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:24:52.140Z","updated_at":"2021-09-30T09:30:28.758Z","grant_id":728,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"QLRT-2000-01325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":990,"fairsharing_record_id":1855,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.097Z","updated_at":"2021-09-30T09:24:52.097Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1856","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:29:20.543Z","metadata":{"doi":"10.25504/FAIRsharing.3mzbyb","name":"Human Platelet Antigens","status":"deprecated","contacts":[{"contact_name":"Steven G. E. Marsh","contact_email":"steven.marsh@ucl.ac.uk","contact_orcid":"0000-0003-2855-4120"}],"homepage":"http://www.ebi.ac.uk/ipd/hpa/","citations":[{"doi":"10.1046/j.1423-0410.2003.00331.x","pubmed_id":14516468,"publication_id":2757}],"identifier":1856,"description":"The database provides a centralised repository for the data which define the human platelet antigens (HPA). Alloantibodies against human platelet antigens are involved in neonatal alloimmune thrombocytopenia, post-transfusion purpura and refractoriness to random donor platelets.","abbreviation":"IPD-HPA","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/support/ipd.php","name":"IPD Contact Form","type":"Contact form"},{"url":"naw23@cam.ac.uk","name":"Nick Watkins","type":"Support email"}],"year_creation":1990,"data_versioning":"not found","deprecation_date":"2020-02-10","deprecation_reason":"The IPD-HPA database has been part of the IPD project since 2003 and represents a legacy system that is no longer under active development, but is provided to the community for reference purposes (see https://doi.org/10.1007/s00251-019-01133-w for more information).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000317","bsg-d000317"],"name":"FAIRsharing record for: Human Platelet Antigens","abbreviation":"IPD-HPA","url":"https://fairsharing.org/10.25504/FAIRsharing.3mzbyb","doi":"10.25504/FAIRsharing.3mzbyb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database provides a centralised repository for the data which define the human platelet antigens (HPA). Alloantibodies against human platelet antigens are involved in neonatal alloimmune thrombocytopenia, post-transfusion purpura and refractoriness to random donor platelets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Immunology","Biomedical Science"],"domains":["Antigen","Antibody","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Human Platelet Antigens (HPA)"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":368,"pubmed_id":23180793,"title":"IPD--the Immuno Polymorphism Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1140","authors":"Robinson J., Halliwell JA., McWilliam H., Lopez R., Marsh SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1140","created_at":"2021-09-30T08:22:59.558Z","updated_at":"2021-09-30T08:22:59.558Z"},{"id":2757,"pubmed_id":14516468,"title":"Nomenclature of human platelet antigens.","year":2003,"url":"http://doi.org/10.1046/j.1423-0410.2003.00331.x","authors":"Metcalfe P,Watkins NA,Ouwehand WH,Kaplan C,Newman P,Kekomaki R,De Haas M,Aster R,Shibata Y,Smith J,Kiefel V,Santoso S","journal":"Vox Sang","doi":"10.1046/j.1423-0410.2003.00331.x","created_at":"2021-09-30T08:27:38.872Z","updated_at":"2021-09-30T08:27:38.872Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":281,"relation":"undefined"}],"grants":[{"id":993,"fairsharing_record_id":1856,"organisation_id":2001,"relation":"maintains","created_at":"2021-09-30T09:24:52.219Z","updated_at":"2021-09-30T09:24:52.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":2001,"name":"National Institute for Biological Standards and Control (NIBSC), Potters Bar, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":997,"fairsharing_record_id":1856,"organisation_id":100,"relation":"maintains","created_at":"2021-09-30T09:24:52.440Z","updated_at":"2021-09-30T09:24:52.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":100,"name":"Anthony Nolan Research Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":992,"fairsharing_record_id":1856,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:52.180Z","updated_at":"2021-09-30T09:29:14.195Z","grant_id":152,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"P01 111 412","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":994,"fairsharing_record_id":1856,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.324Z","updated_at":"2021-09-30T09:24:52.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":995,"fairsharing_record_id":1856,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:24:52.361Z","updated_at":"2021-09-30T09:29:06.334Z","grant_id":95,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"QLRI-CT-200!-01325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9139,"fairsharing_record_id":1856,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.053Z","updated_at":"2022-04-11T12:07:17.053Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1857","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:06.581Z","metadata":{"doi":"10.25504/FAIRsharing.h87prx","name":"IPD-KIR - Killer-cell Immunoglobulin-like Receptors","status":"ready","contacts":[{"contact_name":"Steven G. E. Marsh","contact_email":"steven.marsh@ucl.ac.uk","contact_orcid":"0000-0003-2855-4120"}],"homepage":"http://www.ebi.ac.uk/ipd/kir/","identifier":1857,"description":"The database provides a centralised repository for human KIR sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","abbreviation":"IPD-KIR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/support/ipd.php","name":"IPD Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/ipd/kir/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/ANHIG/IPDKIR","name":"GitHub Repository","type":"Github"},{"url":"https://www.ebi.ac.uk/ipd/kir/stats.html","name":"Statistics","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/nomenclature.html","name":"KIR Nomenclature","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/alleles.html","name":"KIR Allele Nomenclature","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/genotypes.html","name":"KIR Genotypes","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/genes.html","name":"KIR Genes","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/haplotypes.html","name":"KIR Haplotypes","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"https://www.ebi.ac.uk/ipd/kir/align.html","name":"KIR Alignment Tool"},{"url":"https://www.ebi.ac.uk/ipd/kir/blast.html","name":"BLAST"},{"url":"https://www.ebi.ac.uk/ipd/kir/ligand.html","name":"KIR Ligand Calculator"},{"url":"https://www.ebi.ac.uk/ipd/kir/donor_b_content.html","name":"Donor KIR B-content group calculator"},{"url":"https://www.ebi.ac.uk/ipd/kir/ethnicity.html","name":"IPD-KIR Allele Ethnicity Tool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ebi.ac.uk/ipd/kir/submission/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000318","bsg-d000318"],"name":"FAIRsharing record for: IPD-KIR - Killer-cell Immunoglobulin-like Receptors","abbreviation":"IPD-KIR","url":"https://fairsharing.org/10.25504/FAIRsharing.h87prx","doi":"10.25504/FAIRsharing.h87prx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database provides a centralised repository for human KIR sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Immunology"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Killer-cell Immunoglobulin-like Receptors","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":368,"pubmed_id":23180793,"title":"IPD--the Immuno Polymorphism Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1140","authors":"Robinson J., Halliwell JA., McWilliam H., Lopez R., Marsh SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1140","created_at":"2021-09-30T08:22:59.558Z","updated_at":"2021-09-30T08:22:59.558Z"},{"id":1487,"pubmed_id":19875415,"title":"IPD--the Immuno Polymorphism Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp879","authors":"Robinson J,Mistry K,McWilliam H,Lopez R,Marsh SG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp879","created_at":"2021-09-30T08:25:06.466Z","updated_at":"2021-09-30T11:29:10.426Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":82,"relation":"undefined"}],"grants":[{"id":1000,"fairsharing_record_id":1857,"organisation_id":100,"relation":"maintains","created_at":"2021-09-30T09:24:52.565Z","updated_at":"2021-09-30T09:24:52.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":100,"name":"Anthony Nolan Research Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":998,"fairsharing_record_id":1857,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:24:52.482Z","updated_at":"2021-09-30T09:24:52.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":999,"fairsharing_record_id":1857,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.522Z","updated_at":"2021-09-30T09:24:52.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1001,"fairsharing_record_id":1857,"organisation_id":3097,"relation":"maintains","created_at":"2021-09-30T09:24:52.602Z","updated_at":"2021-09-30T09:24:52.602Z","grant_id":null,"is_lead":false,"saved_state":{"id":3097,"name":"University of Minnesota, Minneapolis, MN 55455, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1002,"fairsharing_record_id":1857,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:52.639Z","updated_at":"2021-09-30T09:30:33.158Z","grant_id":761,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P01-CA-111412","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1864","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:42:47.439Z","metadata":{"doi":"10.25504/FAIRsharing.ct66a3","name":"PROCOGNATE","status":"deprecated","contacts":[{"contact_name":"Matthew Bashton","contact_email":"bashton@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/thornton-srv/databases/procognate/index.html","citations":[{"doi":"10.1093/nar/gkm611","pubmed_id":17720712,"publication_id":1164}],"identifier":1864,"description":"PROCOGNATE is a database of cognate ligands for the domains of enzyme structures in CATH, SCOP and Pfam. The database contains an assignment of PDB ligands to the domains of structures as classified by the CATH, SCOP and Pfam databases. Cognate ligands have been identified using data from the ENZYME and KEGG databases and compared to the PDB ligand using graph matching to assess chemical similarity. Cognate ligands from the known reactions in ENZYME and KEGG for a particular enzyme are then assigned to enzymes structures which have EC numbers.","abbreviation":"PROCOGNATE","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/procognate/help.html","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2019-01-10","deprecation_reason":"This resource is no longer maintained as its homepage is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000326","bsg-d000326"],"name":"FAIRsharing record for: PROCOGNATE","abbreviation":"PROCOGNATE","url":"https://fairsharing.org/10.25504/FAIRsharing.ct66a3","doi":"10.25504/FAIRsharing.ct66a3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROCOGNATE is a database of cognate ligands for the domains of enzyme structures in CATH, SCOP and Pfam. The database contains an assignment of PDB ligands to the domains of structures as classified by the CATH, SCOP and Pfam databases. Cognate ligands have been identified using data from the ENZYME and KEGG databases and compared to the PDB ligand using graph matching to assess chemical similarity. Cognate ligands from the known reactions in ENZYME and KEGG for a particular enzyme are then assigned to enzymes structures which have EC numbers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Small molecule","Enzyme","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1164,"pubmed_id":17720712,"title":"PROCOGNATE: a cognate ligand domain mapping for enzymes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm611","authors":"Bashton M,Nobeli I,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm611","created_at":"2021-09-30T08:24:29.421Z","updated_at":"2021-09-30T11:29:01.601Z"},{"id":1619,"pubmed_id":17034815,"title":"Cognate ligand domain mapping for enzymes.","year":2006,"url":"http://doi.org/10.1016/j.jmb.2006.09.041","authors":"Bashton M,Nobeli I,Thornton JM","journal":"J Mol Biol","doi":"10.1016/j.jmb.2006.09.041","created_at":"2021-09-30T08:25:21.411Z","updated_at":"2021-09-30T08:25:21.411Z"}],"licence_links":[],"grants":[{"id":1029,"fairsharing_record_id":1864,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:53.756Z","updated_at":"2021-09-30T09:24:53.756Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1860","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-19T08:38:26.474Z","metadata":{"doi":"10.25504/FAIRsharing.26ek1v","name":"Protein Data Bank in Europe","status":"ready","contacts":[{"contact_name":"PDBe Helpdesk","contact_email":"pdbehelp@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/pdbe/","citations":[],"identifier":1860,"description":"The Protein Data Bank in Europe (PDBe) is the European resource for the collection, organisation and dissemination of data on biological macromolecular structures. It is a founding member of the worldwide Protein Data Bank which collects, organises and disseminates data on biological macromolecular structures. It provides information about all PDB entries, multiple search and browse facilities, advanced services including PDBePISA, PDBeFold and PDBeMotif, advanced visualisation and validation of NMR and EM structures, tools for bioinformaticians. ","abbreviation":"PDBe","data_curation":{"url":"http://www.wwpdb.org/documentation/procedure","type":"manual/automated"},"support_links":[{"url":"http://www.ebi.ac.uk/support/pdbe","name":"PDBe Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/pdbe/about/contact","name":"Contact Information","type":"Contact form"},{"url":"https://www.ebi.ac.uk/pdbe/documentation","name":"PDBe Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/about/news","name":"News","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/pdbe-quick-tour","name":"PDBe: Quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-searching-for-biological-macromolecular-structures","name":"PDBe: Searching for biological macromolecular structures","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-exploring-a-protein-data-bank-pdb-entry","name":"PDBe: Exploring a Protein Data Bank (PDB) entry","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-an-introduction-to-search-and-entry-pages-webinar","name":"PDBe: An introduction to search and entry pages: webinar","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-searching-the-protein-data-bank","name":"PDBe: Searching the Protein Data Bank","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/pdbe/training","name":"PDBe Training","type":"Training documentation"},{"url":"https://twitter.com/PDBeurope","name":"@PDBeurope","type":"Twitter"}],"year_creation":1996,"data_versioning":"yes","associated_tools":[{"url":"http://validate.wwpdb.org","name":"wwPDB Validation Service"},{"url":"https://www.ebi.ac.uk/pdbe/services","name":"Full PDBe Tools List"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010538","name":"re3data:r3d100010538","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004312","name":"SciCrunch:RRID:SCR_004312","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/pdbe/about/public-data-access-statement","type":"open"},"resource_sustainability":{"url":"http://www.wwpdb.org/about/faq","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/pdbe/deposition-services","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000322","bsg-d000322"],"name":"FAIRsharing record for: Protein Data Bank in Europe","abbreviation":"PDBe","url":"https://fairsharing.org/10.25504/FAIRsharing.26ek1v","doi":"10.25504/FAIRsharing.26ek1v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Data Bank in Europe (PDBe) is the European resource for the collection, organisation and dissemination of data on biological macromolecular structures. It is a founding member of the worldwide Protein Data Bank which collects, organises and disseminates data on biological macromolecular structures. It provides information about all PDB entries, multiple search and browse facilities, advanced services including PDBePISA, PDBeFold and PDBeMotif, advanced visualisation and validation of NMR and EM structures, tools for bioinformaticians. ","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11340},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11521},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11839},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12638}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Structural Biology"],"domains":["Protein structure","Drug structure","Deoxyribonucleic acid","Ribonucleic acid","X-ray diffraction","Nuclear Magnetic Resonance (NMR) spectroscopy","Electron density map","Electron microscopy","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1275,"pubmed_id":29126160,"title":"PDBe: towards reusable data delivery infrastructure at protein data bank in Europe.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1070","authors":"Mir S,Alhroub Y,Anyango S,Armstrong DR,Berrisford JM,Clark AR,Conroy MJ,Dana JM,Deshpande M,Gupta D,Gutmanas A,Haslam P,Mak L,Mukhopadhyay A,Nadzirin N,Paysan-Lafosse T,Sehnal D,Sen S,Smart OS,Varadi M,Kleywegt GJ,Velankar S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1070","created_at":"2021-09-30T08:24:42.347Z","updated_at":"2021-09-30T11:29:05.076Z"},{"id":2010,"pubmed_id":27450113,"title":"The archiving and dissemination of biological structure data","year":2016,"url":"http://doi.org/S0959-440X(16)30077-X","authors":"Helen M Berman, Stephen K Burley, Gerard J Kleywegt, John L Markley, Haruki Nakamura, Sameer Velankar","journal":"Current Opinion in Structural Biology","doi":"10.1016/j.sbi.2016.06.018","created_at":"2021-09-30T08:26:06.466Z","updated_at":"2021-09-30T08:26:06.466Z"},{"id":2089,"pubmed_id":22110033,"title":"PDBe: Protein Data Bank in Europe.","year":2011,"url":"http://doi.org/10.1093/nar/gkr998","authors":"Velankar S., Alhroub Y., Best C., Caboche S., Conroy MJ., Dana JM., Fernandez Montecelo MA., van Ginkel G., Golovin A., Gore SP., Gutmanas A., Haslam P., Hendrickx PM., Heuson E., Hirshberg M., John M., Lagerstedt I., Mir S., Newman LE., Oldfield TJ., Patwardhan A., Rinaldi L., Sahni G., Sanz-García E., Sen S., Slowley R., Suarez-Uruena A., Swaminathan GJ., Symmons MF., Vranken WF., Wainwright M., Kleywegt GJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr998","created_at":"2021-09-30T08:26:15.465Z","updated_at":"2021-09-30T08:26:15.465Z"},{"id":2164,"pubmed_id":26476444,"title":"PDBe: improved accessibility of macromolecular structure data from PDB and EMDB.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1047","authors":"Velankar S, van Ginkel G, Alhroub Y, Battle GM, Berrisford JM, Conroy MJ, Dana JM, Gore SP, Gutmanas A, Haslam P, Hendrickx PM, Lagerstedt I, Mir S, Fernandez Montecelo MA, Mukhopadhyay A, Oldfield TJ, Patwardhan A, Sanz-García E, Sen S, Slowley RA, Wainwright ME, Deshpande MS, Iudin A, Sahni G, Salavert Torres J, Hirshberg M, Mak L, Nadzirin N, Armstrong DR, Clark AR, Smart OS, Korir PK, Kleywegt GJ.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkv1047","created_at":"2021-09-30T08:26:23.933Z","updated_at":"2021-09-30T08:26:23.933Z"},{"id":2759,"pubmed_id":31691821,"title":"PDBe: improved findability of macromolecular structure data in the PDB.","year":2019,"url":"http://doi.org/10.1093/nar/gkz990","authors":"Armstrong DR,Berrisford JM,Conroy MJ,Gutmanas A,Anyango S,Choudhary P,Clark AR,Dana JM,Deshpande M,Dunlop R,Gane P,Gaborova R,Gupta D,Haslam P,Koca J,Mak L,Mir S,Mukhopadhyay A,Nadzirin N,Nair S,Paysan-Lafosse T,Pravda L,Sehnal D,Salih O,Smart O,Tolchard J,Varadi M,Svobodova-Varekova R,Zaki H,Kleywegt GJ,Velankar S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz990","created_at":"2021-09-30T08:27:39.086Z","updated_at":"2021-09-30T11:29:42.828Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2781,"relation":"applies_to_content"},{"licence_name":"wwPDB Charter","licence_id":875,"licence_url":"https://www.wwpdb.org/about/agreement","link_id":638,"relation":"undefined"}],"grants":[{"id":1017,"fairsharing_record_id":1860,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:53.295Z","updated_at":"2021-09-30T09:30:53.689Z","grant_id":922,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-1338415","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1015,"fairsharing_record_id":1860,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:53.151Z","updated_at":"2021-09-30T09:31:30.426Z","grant_id":1202,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"104948","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1014,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:53.120Z","updated_at":"2021-09-30T09:29:10.260Z","grant_id":123,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M011674/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9740,"fairsharing_record_id":1860,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T09:59:17.726Z","updated_at":"2022-08-02T09:59:17.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1011,"fairsharing_record_id":1860,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:53.006Z","updated_at":"2021-09-30T09:30:26.007Z","grant_id":708,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"1RO1 GM079429-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7902,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:35.358Z","updated_at":"2021-09-30T09:29:35.408Z","grant_id":314,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/G022577/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7906,"fairsharing_record_id":1860,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:29:37.592Z","updated_at":"2021-09-30T09:29:37.666Z","grant_id":332,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"284209","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7936,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:55.785Z","updated_at":"2021-09-30T09:29:55.828Z","grant_id":473,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/E007511/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7940,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:57.434Z","updated_at":"2021-09-30T09:29:57.484Z","grant_id":486,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M020428/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8152,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:13.081Z","updated_at":"2021-09-30T09:31:13.140Z","grant_id":1069,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M013146/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8160,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:16.073Z","updated_at":"2021-09-30T09:31:16.124Z","grant_id":1094,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M020347/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8313,"fairsharing_record_id":1860,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:01.896Z","updated_at":"2021-09-30T09:32:01.935Z","grant_id":1436,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"088944","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8364,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:15.909Z","updated_at":"2021-09-30T09:32:15.957Z","grant_id":1540,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/J007471/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10014,"fairsharing_record_id":1860,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.817Z","updated_at":"2022-10-13T09:43:38.817Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8735,"fairsharing_record_id":1860,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-20T11:13:12.000Z","updated_at":"2022-01-20T11:13:12.000Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1018,"fairsharing_record_id":1860,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:53.345Z","updated_at":"2021-09-30T09:31:34.335Z","grant_id":1230,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","grant":"MR/L007835/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8157,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:15.213Z","updated_at":"2021-09-30T09:31:15.262Z","grant_id":1088,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/K016970/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8172,"fairsharing_record_id":1860,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:31:19.605Z","updated_at":"2021-09-30T09:31:19.658Z","grant_id":1120,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"675858","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1012,"fairsharing_record_id":1860,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:53.045Z","updated_at":"2021-09-30T09:24:53.045Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1016,"fairsharing_record_id":1860,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:53.258Z","updated_at":"2021-09-30T09:24:53.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1019,"fairsharing_record_id":1860,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:53.382Z","updated_at":"2021-09-30T09:28:56.010Z","grant_id":21,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"GM079429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7879,"fairsharing_record_id":1860,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:21.548Z","updated_at":"2021-09-30T09:29:21.595Z","grant_id":211,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R01GM079429-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1013,"fairsharing_record_id":1860,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:24:53.081Z","updated_at":"2021-09-30T09:29:34.249Z","grant_id":305,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8082,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:49.581Z","updated_at":"2021-09-30T09:30:49.664Z","grant_id":889,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/K020013/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBblVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--64d8cc6d1de890da25711e3e4eb9bbc0a16903a8/1_1.png?disposition=inline","exhaustive_licences":true}},{"id":"1861","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:57.337Z","metadata":{"doi":"10.25504/FAIRsharing.7vjq5t","name":"PDBsum; at-a-glance overview of macromolecular structures","status":"ready","contacts":[{"contact_name":"Roman Laskowski","contact_email":"roman@ebi.ac.uk","contact_orcid":"0000-0001-5528-0087"}],"homepage":"http://www.ebi.ac.uk/pdbsum","citations":[{"doi":"10.1002/pro.3289","pubmed_id":28875543,"publication_id":1601}],"identifier":1861,"description":"PDBsum provides an overview of every macromolecular structure deposited in the Protein Data Bank (PDB), giving schematic diagrams of the molecules in each structure and of the interactions between them.","abbreviation":"PDBsum","data_curation":{"type":"automated","notes":"Described in literatLaskowski R A (2007). Enhancing the functional annotation of PDB structures in PDBsum using key figures extracted from the literature. Bioinformatics, 23, 1824-1827. [PubMed id: 17384425]"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/cgi-bin/pdbsum/GetPage.pl?pdbcode=n/a\u0026template=doc_about.html","name":"About PDBsum","type":"Help documentation"}],"year_creation":1997,"data_versioning":"not found","associated_tools":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/pdbsum/Generate.html","name":"PDBsum Generate"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012112","name":"re3data:r3d100012112","portal":"re3data"}],"data_access_condition":{"url":"http://www.ebi.ac.uk/thornton-srv/databases/cgi-bin/pdbsum/GetPage.pl?pdbcode=n/a\u0026template=doc_about.html","type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000323","bsg-d000323"],"name":"FAIRsharing record for: PDBsum; at-a-glance overview of macromolecular structures","abbreviation":"PDBsum","url":"https://fairsharing.org/10.25504/FAIRsharing.7vjq5t","doi":"10.25504/FAIRsharing.7vjq5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBsum provides an overview of every macromolecular structure deposited in the Protein Data Bank (PDB), giving schematic diagrams of the molecules in each structure and of the interactions between them.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12639}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Molecular interaction","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1491,"pubmed_id":24153109,"title":"PDBsum additions.","year":2013,"url":"http://doi.org/10.1093/nar/gkt940","authors":"de Beer TA,Berka K,Thornton JM,Laskowski RA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt940","created_at":"2021-09-30T08:25:06.942Z","updated_at":"2021-09-30T11:29:10.676Z"},{"id":1601,"pubmed_id":28875543,"title":"PDBsum: Structural summaries of PDB entries.","year":2017,"url":"http://doi.org/10.1002/pro.3289","authors":"Laskowski RA,Jablonska J,Pravda L,Varekova RS,Thornton JM","journal":"Protein Sci","doi":"10.1002/pro.3289","created_at":"2021-09-30T08:25:19.495Z","updated_at":"2021-09-30T08:25:19.495Z"},{"id":1602,"pubmed_id":18996896,"title":"PDBsum new things.","year":2008,"url":"http://doi.org/10.1093/nar/gkn860","authors":"Laskowski RA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn860","created_at":"2021-09-30T08:25:19.601Z","updated_at":"2021-09-30T11:29:15.403Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":398,"relation":"undefined"}],"grants":[{"id":1020,"fairsharing_record_id":1861,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:53.424Z","updated_at":"2021-09-30T09:24:53.424Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1021,"fairsharing_record_id":1861,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:24:53.483Z","updated_at":"2021-09-30T09:30:54.649Z","grant_id":931,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","grant":"DE-AC02-06CH1135","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1023,"fairsharing_record_id":1861,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:53.566Z","updated_at":"2021-09-30T09:31:09.075Z","grant_id":1041,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM094585","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1022,"fairsharing_record_id":1861,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:53.524Z","updated_at":"2021-09-30T09:31:31.756Z","grant_id":1210,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201200026C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1867","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:14:19.264Z","metadata":{"doi":"10.25504/FAIRsharing.fx0mw7","name":"Ensembl","status":"ready","contacts":[{"contact_name":"Help Desk","contact_email":"helpdesk@ensembl.org"}],"homepage":"http://www.ensembl.org/","citations":[{"doi":"10.1093/nar/gkac958","pubmed_id":null,"publication_id":4210}],"identifier":1867,"description":"Ensembl creates, integrates and distributes reference datasets and analysis tools that enable genomics. Ensembl is a genome browser that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation. Ensembl annotate genes, computes multiple alignments, predicts regulatory function and collects disease data.","abbreviation":null,"data_curation":{"url":"http://www.ensembl.org/info/genome/index.html","type":"automated"},"support_links":[{"url":"http://www.ensembl.info/","name":"Blog","type":"Blog/News"},{"url":"https://www.ensembl.org/info/about/contact/","type":"Contact form"},{"url":"helpdesk@ensembl.org","name":"Helpdesk","type":"Support email"},{"url":"https://www.ensembl.org/Help/Faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ensembl.org/info/","name":"Help","type":"Help documentation"},{"url":"http://lists.ensembl.org/mailman/listinfo/dev","name":"API Developers Mailing List","type":"Mailing list"},{"url":"https://www.ensembl.org/info/website/tutorials/sequence.html","name":"Retrieving Sequences","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/userdata.html","name":"Use Your Own Data in Ensembl","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/gene_snps.html","name":"Variants for my Gene","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/compara.html","name":"Compare Genes Across Species","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/expression.html","name":"Gene Expression in Ensembl","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/gallery.html","name":"Find a Data Display","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-browsing-chordate-genomes","name":"Browsing Chordate Genomes","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-browser-webinar-series-2016","name":"Webinar Series","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-filmed-api-workshop","name":"Filmed API workshop","type":"Training documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/index.html","name":"Tutorials Index","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-genomes-non-chordates-quick-tour","name":"Ensembl Genomes (non-chordates): Quick tour","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-tools-webinar","name":"Ensembl Tools Webinar","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-variant-effect-predictor-vep-webinar","name":"Ensembl Variant Effect Predictor (VEP): webinar","type":"Training documentation"},{"url":"https://twitter.com/ensembl","name":"@ensembl","type":"Twitter"}],"year_creation":1999,"data_versioning":"no","associated_tools":[{"url":"https://www.ensembl.org/info/docs/tools/vep/index.html","name":"VEP"},{"url":"https://www.ensembl.org/info/docs/tools/index.html","name":"Tools: Complete List"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010228","name":"re3data:r3d100010228","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002344","name":"SciCrunch:RRID:SCR_002344","portal":"SciCrunch"}],"data_access_condition":{"url":"http://www.ensembl.org/info/about/legal/disclaimer.html","type":"open","notes":"Ensembl imposes no restrictions on access to, or use of, the data provided."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Personal submissions can be saved and shared"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000330","bsg-d000330"],"name":"FAIRsharing record for: Ensembl","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fx0mw7","doi":"10.25504/FAIRsharing.fx0mw7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ensembl creates, integrates and distributes reference datasets and analysis tools that enable genomics. Ensembl is a genome browser that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation. Ensembl annotate genes, computes multiple alignments, predicts regulatory function and collects disease data.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17061},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11344},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11524},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11842},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12643},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15729},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16205}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science","Comparative Genomics"],"domains":["Genetic map","Genome annotation","Genomic assembly","Gene prediction","Genome alignment","Genome visualization","Gene","Genome","Reference genome"],"taxonomies":["Caenorhabditis elegans","Chordata","Drosophila melanogaster","Saccharomyces cerevisiae"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":182,"pubmed_id":25236461,"title":"The Ensembl REST API: Ensembl Data for Any Language.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu613","authors":"Yates A,Beal K,Keenan S,McLaren W,Pignatelli M,Ritchie GR,Ruffier M,Taylor K,Vullo A,Flicek P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu613","created_at":"2021-09-30T08:22:39.882Z","updated_at":"2021-09-30T08:22:39.882Z"},{"id":197,"pubmed_id":27268795,"title":"The Ensembl Variant Effect Predictor.","year":2016,"url":"http://doi.org/10.1186/s13059-016-0974-4","authors":"McLaren W,Gil L,Hunt SE,Riat HS,Ritchie GR,Thormann A,Flicek P,Cunningham F","journal":"Genome Biol","doi":"10.1186/s13059-016-0974-4","created_at":"2021-09-30T08:22:41.589Z","updated_at":"2021-09-30T08:22:41.589Z"},{"id":198,"pubmed_id":22798491,"title":"Incorporating RNA-seq data into the zebrafish Ensembl genebuild.","year":2012,"url":"http://doi.org/10.1101/gr.137901.112","authors":"Collins JE,White S,Searle SM,Stemple DL","journal":"Genome Res","doi":"10.1101/gr.137901.112","created_at":"2021-09-30T08:22:41.681Z","updated_at":"2021-09-30T08:22:41.681Z"},{"id":221,"pubmed_id":15123591,"title":"The Ensembl Web site: mechanics of a genome browser.","year":2004,"url":"http://doi.org/10.1101/gr.1863004","authors":"Stalker J,Gibbins B,Meidl P,Smith J,Spooner W,Hotz HR,Cox AV","journal":"Genome Res","doi":"10.1101/gr.1863004","created_at":"2021-09-30T08:22:43.915Z","updated_at":"2021-09-30T08:22:43.915Z"},{"id":222,"pubmed_id":15123588,"title":"The Ensembl core software libraries.","year":2004,"url":"http://doi.org/10.1101/gr.1857204","authors":"Stabenau A,McVicker G,Melsopp C,Proctor G,Clamp M,Birney E","journal":"Genome Res","doi":"10.1101/gr.1857204","created_at":"2021-09-30T08:22:44.057Z","updated_at":"2021-09-30T08:22:44.057Z"},{"id":237,"pubmed_id":22955987,"title":"GENCODE: the reference human genome annotation for The ENCODE Project.","year":2012,"url":"http://doi.org/10.1101/gr.135350.111","authors":"Harrow J, et al.","journal":"Genome Res","doi":"10.1101/gr.135350.111","created_at":"2021-09-30T08:22:45.582Z","updated_at":"2021-09-30T08:22:45.582Z"},{"id":239,"pubmed_id":21400687,"title":"Disease and phenotype data at Ensembl.","year":2011,"url":"http://doi.org/10.1002/0471142905.hg0611s69","authors":"Spudich GM,Fernandez-Suarez XM","journal":"Curr Protoc Hum Genet","doi":"10.1002/0471142905.hg0611s69","created_at":"2021-09-30T08:22:45.781Z","updated_at":"2021-09-30T08:22:45.781Z"},{"id":245,"pubmed_id":15145580,"title":"Genome information resources - developments at Ensembl.","year":2004,"url":"http://doi.org/10.1016/j.tig.2004.04.002","authors":"Hammond MP,Birney E","journal":"Trends Genet","doi":"10.1016/j.tig.2004.04.002","created_at":"2021-09-30T08:22:46.498Z","updated_at":"2021-09-30T08:22:46.498Z"},{"id":268,"pubmed_id":21785142,"title":"Ensembl BioMarts: a hub for data retrieval across taxonomic space.","year":2011,"url":"http://doi.org/10.1093/database/bar030","authors":"Kinsella RJ,Kahari A,Haider S,Zamora J,Proctor G,Spudich G,Almeida-King J,Staines D,Derwent P,Kerhornou A,Kersey P,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/bar030","created_at":"2021-09-30T08:22:48.965Z","updated_at":"2021-09-30T08:22:48.965Z"},{"id":396,"pubmed_id":25352552,"title":"Ensembl 2015","year":2014,"url":"http://doi.org/10.1093/nar/gku1010","authors":"Cunningham F et al.","journal":"Nucleic Acids Res.","doi":"doi:10.1093/nar/gku1010","created_at":"2021-09-30T08:23:03.063Z","updated_at":"2021-09-30T08:23:03.063Z"},{"id":627,"pubmed_id":16381931,"title":"Ensembl 2006.","year":2005,"url":"http://doi.org/10.1093/nar/gkj133","authors":"Birney E et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj133","created_at":"2021-09-30T08:23:28.924Z","updated_at":"2021-09-30T11:28:48.417Z"},{"id":1467,"pubmed_id":24316576,"title":"Ensembl 2014.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1196","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1196","created_at":"2021-09-30T08:25:04.201Z","updated_at":"2021-09-30T11:29:09.359Z"},{"id":1857,"pubmed_id":26888907,"title":"Ensembl regulation resources.","year":2016,"url":"http://doi.org/10.1093/database/bav119","authors":"Zerbino DR,Johnson N,Juetteman T,Sheppard D,Wilder SP,Lavidas I,Nuhn M,Perry E,Raffaillac-Desfosses Q,Sobral D,Keefe D,Graf S,Ahmed I,Kinsella R,Pritchard B,Brent S,Amode R,Parker A,Trevanion S,Birney E,Dunham I,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/bav119","created_at":"2021-09-30T08:25:48.615Z","updated_at":"2021-09-30T08:25:48.615Z"},{"id":1859,"pubmed_id":27337980,"title":"The Ensembl gene annotation system.","year":2016,"url":"http://doi.org/10.1093/database/baw093","authors":"Aken BL,Ayling S,Barrell D,Clarke L,Curwen V,Fairley S,Fernandez Banet J,Billis K,Garcia Giron C,Hourlier T,Howe K,Kahari A,Kokocinski F,Martin FJ,Murphy DN,Nag R,Ruffier M,Schuster M,Tang YA,Vogel JH,White S,Zadissa A,Flicek P,Searle SM","journal":"Database (Oxford)","doi":"10.1093/database/baw093","created_at":"2021-09-30T08:25:48.840Z","updated_at":"2021-09-30T08:25:48.840Z"},{"id":1884,"pubmed_id":20459808,"title":"Touring Ensembl: a practical guide to genome browsing.","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-295","authors":"Spudich GM,Fernandez-Suarez XM","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-295","created_at":"2021-09-30T08:25:51.940Z","updated_at":"2021-09-30T08:25:51.940Z"},{"id":1885,"pubmed_id":17967807,"title":"Genome browsing with Ensembl: a practical overview.","year":2007,"url":"http://doi.org/10.1093/bfgp/elm025","authors":"Spudich G,Fernandez-Suarez XM,Birney E","journal":"Brief Funct Genomic Proteomic","doi":"10.1093/bfgp/elm025","created_at":"2021-09-30T08:25:52.048Z","updated_at":"2021-09-30T08:25:52.048Z"},{"id":1911,"pubmed_id":21045057,"title":"Ensembl 2011.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1064","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1064","created_at":"2021-09-30T08:25:54.869Z","updated_at":"2021-09-30T11:29:23.560Z"},{"id":1912,"pubmed_id":22086963,"title":"Ensembl 2012.","year":2011,"url":"http://doi.org/10.1093/nar/gkr991","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr991","created_at":"2021-09-30T08:25:54.985Z","updated_at":"2021-09-30T11:29:23.703Z"},{"id":1913,"pubmed_id":23203987,"title":"Ensembl 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1236","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1236","created_at":"2021-09-30T08:25:55.085Z","updated_at":"2021-09-30T11:29:23.795Z"},{"id":2153,"pubmed_id":26980512,"title":"ncRNA orthologies in the vertebrate lineage.","year":2016,"url":"http://doi.org/10.1093/database/bav127","authors":"Pignatelli M,Vilella AJ,Muffato M,Gordon L,White S,Flicek P,Herrero J","journal":"Database (Oxford)","doi":"10.1093/database/bav127","created_at":"2021-09-30T08:26:22.657Z","updated_at":"2021-09-30T08:26:22.657Z"},{"id":2158,"pubmed_id":27141089,"title":"Ensembl comparative genomics resources (Erratum)","year":2016,"url":"http://doi.org/10.1093/database/baw053","authors":"Herrero J,Muffato M,Beal K,Fitzgerald S,Gordon L,Pignatelli M,Vilella AJ,Searle SM,Amode R,Brent S,Spooner W,Kulesha E,Yates A,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/baw053","created_at":"2021-09-30T08:26:23.301Z","updated_at":"2021-09-30T08:26:23.301Z"},{"id":2196,"pubmed_id":15123594,"title":"The Ensembl computing architecture.","year":2004,"url":"http://doi.org/10.1101/gr.1866304","authors":"Cuff JA,Coates GM,Cutts TJ,Rae M","journal":"Genome Res","doi":"10.1101/gr.1866304","created_at":"2021-09-30T08:26:27.548Z","updated_at":"2021-09-30T08:26:27.548Z"},{"id":2257,"pubmed_id":15608235,"title":"Ensembl 2005.","year":2004,"url":"http://doi.org/10.1093/nar/gki138","authors":"Hubbard T et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki138","created_at":"2021-09-30T08:26:34.482Z","updated_at":"2021-09-30T11:29:31.869Z"},{"id":2258,"pubmed_id":15123595,"title":"ESTGenes: alternative splicing from ESTs in Ensembl.","year":2004,"url":"http://doi.org/10.1101/gr.1862204","authors":"Eyras E,Caccamo M,Curwen V,Clamp M","journal":"Genome Res","doi":"10.1101/gr.1862204","created_at":"2021-09-30T08:26:34.641Z","updated_at":"2021-09-30T08:26:34.641Z"},{"id":2268,"pubmed_id":25887522,"title":"The ensembl regulatory build.","year":2015,"url":"http://doi.org/10.1186/s13059-015-0621-5","authors":"Zerbino DR,Wilder SP,Johnson N,Juettemann T,Flicek PR","journal":"Genome Biol","doi":"10.1186/s13059-015-0621-5","created_at":"2021-09-30T08:26:36.205Z","updated_at":"2021-09-30T08:26:36.205Z"},{"id":2270,"pubmed_id":24363377,"title":"WiggleTools: parallel processing of large collections of genome-wide datasets for visualization and statistical analysis.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt737","authors":"Zerbino DR,Johnson N,Juettemann T,Wilder SP,Flicek P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt737","created_at":"2021-09-30T08:26:36.457Z","updated_at":"2021-09-30T08:26:36.457Z"},{"id":2293,"pubmed_id":27899575,"title":"Ensembl 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1104","authors":"Aken BL et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1104","created_at":"2021-09-30T08:26:39.783Z","updated_at":"2021-09-30T11:29:32.469Z"},{"id":2473,"pubmed_id":16874317,"title":"TranscriptSNPView: a genome-wide catalog of mouse coding variation.","year":2006,"url":"http://doi.org/10.1038/ng0806-853a","authors":"Cunningham F,Rios D,Griffiths M,Smith J,Ning Z,Cox T,Flicek P,Marin-Garcin P,Herrero J,Rogers J,van der Weyden L,Bradley A,Birney E,Adams DJ","journal":"Nat Genet","doi":"10.1038/ng0806-853a","created_at":"2021-09-30T08:27:03.236Z","updated_at":"2021-09-30T08:27:03.236Z"},{"id":2474,"pubmed_id":26687719,"title":"Ensembl 2016.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1157","authors":"Yates A et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1157","created_at":"2021-09-30T08:27:03.350Z","updated_at":"2021-09-30T11:29:37.246Z"},{"id":2476,"pubmed_id":18849525,"title":"Genome-wide nucleotide-level mammalian ancestor reconstruction.","year":2008,"url":"http://doi.org/10.1101/gr.076521.108","authors":"Paten B,Herrero J,Fitzgerald S,Beal K,Flicek P,Holmes I,Birney E","journal":"Genome Res","doi":"10.1101/gr.076521.108","created_at":"2021-09-30T08:27:03.585Z","updated_at":"2021-09-30T08:27:03.585Z"},{"id":2490,"pubmed_id":18000006,"title":"Ensembl 2008.","year":2007,"url":"http://doi.org/10.1093/nar/gkm988","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm988","created_at":"2021-09-30T08:27:05.316Z","updated_at":"2021-09-30T11:29:37.978Z"},{"id":2499,"pubmed_id":20459805,"title":"Ensembl variation resources.","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-293","authors":"Chen Y,Cunningham F,Rios D,McLaren WM,Smith J,Pritchard B,Spudich GM,Brent S,Kulesha E,Marin-Garcia P,Smedley D,Birney E,Flicek P","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-293","created_at":"2021-09-30T08:27:06.403Z","updated_at":"2021-09-30T08:27:06.403Z"},{"id":2507,"pubmed_id":12519943,"title":"Ensembl 2002: accommodating comparative genomics.","year":2003,"url":"http://doi.org/10.1093/nar/gkg083","authors":"Clamp M et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg083","created_at":"2021-09-30T08:27:07.689Z","updated_at":"2021-09-30T11:29:38.395Z"},{"id":2508,"pubmed_id":19029536,"title":"EnsemblCompara GeneTrees: Complete, duplication-aware phylogenetic trees in vertebrates.","year":2008,"url":"http://doi.org/10.1101/gr.073585.107","authors":"Vilella AJ,Severin J,Ureta-Vidal A,Heng L,Durbin R,Birney E","journal":"Genome Res","doi":"10.1101/gr.073585.107","created_at":"2021-09-30T08:27:07.790Z","updated_at":"2021-09-30T08:27:07.790Z"},{"id":2719,"pubmed_id":20459810,"title":"A database and API for variation, dense genotyping and resequencing data.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-238","authors":"Rios D,McLaren WM,Chen Y,Birney E,Stabenau A,Flicek P,Cunningham F","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-238","created_at":"2021-09-30T08:27:33.947Z","updated_at":"2021-09-30T08:27:33.947Z"},{"id":2780,"pubmed_id":11752248,"title":"The Ensembl genome database project.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.38","authors":"Hubbard T et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.38","created_at":"2021-09-30T08:27:41.776Z","updated_at":"2021-09-30T11:29:44.328Z"},{"id":2781,"pubmed_id":17148474,"title":"Ensembl 2007.","year":2006,"url":"http://doi.org/10.1093/nar/gkl996","authors":"Hubbard TJ et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl996","created_at":"2021-09-30T08:27:41.885Z","updated_at":"2021-09-30T11:29:44.420Z"},{"id":2783,"pubmed_id":20562413,"title":"Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq330","authors":"McLaren W,Pritchard B,Rios D,Chen Y,Flicek P,Cunningham F","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq330","created_at":"2021-09-30T08:27:42.106Z","updated_at":"2021-09-30T08:27:42.106Z"},{"id":2784,"pubmed_id":19033362,"title":"Ensembl 2009.","year":2008,"url":"http://doi.org/10.1093/nar/gkn828","authors":"Hubbard TJ et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn828","created_at":"2021-09-30T08:27:42.211Z","updated_at":"2021-09-30T11:29:44.511Z"},{"id":2785,"pubmed_id":19906699,"title":"Ensembl's 10th year.","year":2009,"url":"http://doi.org/10.1093/nar/gkp972","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp972","created_at":"2021-09-30T08:27:42.321Z","updated_at":"2021-09-30T11:29:44.603Z"},{"id":2832,"pubmed_id":26896847,"title":"Ensembl comparative genomics resources.","year":2016,"url":"http://doi.org/10.1093/database/bav096","authors":"Herrero J,Muffato M,Beal K,Fitzgerald S,Gordon L,Pignatelli M,Vilella AJ,Searle SM,Amode R,Brent S,Spooner W,Kulesha E,Yates A,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/bav096","created_at":"2021-09-30T08:27:48.390Z","updated_at":"2021-09-30T08:27:48.390Z"},{"id":2834,"pubmed_id":15123589,"title":"The Ensembl analysis pipeline.","year":2004,"url":"http://doi.org/10.1101/gr.1859804","authors":"Potter SC,Clarke L,Curwen V,Keenan S,Mongin E,Searle SM,Stabenau A,Storey R,Clamp M","journal":"Genome Res","doi":"10.1101/gr.1859804","created_at":"2021-09-30T08:27:48.621Z","updated_at":"2021-09-30T08:27:48.621Z"},{"id":2835,"pubmed_id":15123590,"title":"The Ensembl automatic gene annotation system.","year":2004,"url":"http://doi.org/10.1101/gr.1858004","authors":"Curwen V,Eyras E,Andrews TD,Clarke L,Mongin E,Searle SM,Clamp M","journal":"Genome Res","doi":"10.1101/gr.1858004","created_at":"2021-09-30T08:27:48.792Z","updated_at":"2021-09-30T08:27:48.792Z"},{"id":2837,"pubmed_id":30407521,"title":"Ensembl 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky1113","authors":"Cunningham F et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1113","created_at":"2021-09-30T08:27:49.020Z","updated_at":"2021-09-30T11:29:44.853Z"},{"id":2838,"pubmed_id":31691826,"title":"Ensembl 2020.","year":2019,"url":"http://doi.org/10.1093/nar/gkz966","authors":"Yates AD, et al","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz966","created_at":"2021-09-30T08:27:49.136Z","updated_at":"2021-09-30T11:29:45.920Z"},{"id":3007,"pubmed_id":20459813,"title":"eHive: an artificial intelligence workflow system for genomic analysis.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-240","authors":"Severin J,Beal K,Vilella AJ,Fitzgerald S,Schuster M,Gordon L,Ureta-Vidal A,Flicek P,Herrero J","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-240","created_at":"2021-09-30T08:28:10.750Z","updated_at":"2021-09-30T08:28:10.750Z"},{"id":3438,"pubmed_id":null,"title":"Ensembl 2022","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1049","authors":"Cunningham, Fiona; Allen, James E; Allen, Jamie; Alvarez-Jarreta, Jorge; Amode, M Ridwan; Armean, Irina M; Austine-Orimoloye, Olanrewaju; Azov, Andrey G; Barnes, If; Bennett, Ruth; Berry, Andrew; Bhai, Jyothish; Bignell, Alexandra; Billis, Konstantinos; Boddu, Sanjay; Brooks, Lucy; Charkhchi, Mehrnaz; Cummins, Carla; Da Rin Fioretto, Luca; Davidson, Claire; Dodiya, Kamalkumar; Donaldson, Sarah; El Houdaigui, Bilal; El Naboulsi, Tamara; Fatima, Reham; Giron, Carlos Garcia; Genez, Thiago; Martinez, Jose Gonzalez; Guijarro-Clarke, Cristina; Gymer, Arthur; Hardy, Matthew; Hollis, Zoe; Hourlier, Thibaut; Hunt, Toby; Juettemann, Thomas; Kaikala, Vinay; Kay, Mike; Lavidas, Ilias; Le, Tuan; Lemos, Diana; Marugán, José Carlos; Mohanan, Shamika; Mushtaq, Aleena; Naven, Marc; Ogeh, Denye N; Parker, Anne; Parton, Andrew; Perry, Malcolm; Piližota, Ivana; Prosovetskaia, Irina; Sakthivel, Manoj Pandian; Salam, Ahamed Imran Abdul; Schmitt, Bianca M; Schuilenburg, Helen; Sheppard, Dan; Pérez-Silva, José G; Stark, William; Steed, Emily; Sutinen, Kyösti; Sukumaran, Ranjit; Sumathipala, Dulika; Suner, Marie-Marthe; Szpak, Michal; Thormann, Anja; Tricomi, Francesca Floriana; Urbina-Gómez, David; Veidenberg, Andres; Walsh, Thomas A; Walts, Brandon; Willhoft, Natalie; Winterbottom, Andrea; Wass, Elizabeth; Chakiachvili, Marc; Flint, Bethany; Frankish, Adam; Giorgetti, Stefano; Haggerty, Leanne; Hunt, Sarah E; IIsley, Garth R; Loveland, Jane E; Martin, Fergal J; Moore, Benjamin; Mudge, Jonathan M; Muffato, Matthieu; Perry, Emily; Ruffier, Magali; Tate, John; Thybert, David; Trevanion, Stephen J; Dyer, Sarah; Harrison, Peter W; Howe, Kevin L; Yates, Andrew D; Zerbino, Daniel R; Flicek, Paul; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1049","created_at":"2022-06-15T07:16:07.911Z","updated_at":"2022-06-15T07:16:07.911Z"},{"id":4210,"pubmed_id":null,"title":"Ensembl 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac958","authors":"Martin, Fergal J; Amode, M Ridwan; Aneja, Alisha; Austine-Orimoloye, Olanrewaju; Azov, Andrey G; Barnes, If; Becker, Arne; Bennett, Ruth; Berry, Andrew; Bhai, Jyothish; Bhurji, Simarpreet Kaur; Bignell, Alexandra; Boddu, Sanjay; Branco Lins, Paulo R; Brooks, Lucy; Ramaraju, Shashank Budhanuru; Charkhchi, Mehrnaz; Cockburn, Alexander; Da Rin Fiorretto, Luca; Davidson, Claire; Dodiya, Kamalkumar; Donaldson, Sarah; El Houdaigui, Bilal; El Naboulsi, Tamara; Fatima, Reham; Giron, Carlos Garcia; Genez, Thiago; Ghattaoraya, Gurpreet S; Martinez, Jose Gonzalez; Guijarro, Cristi; Hardy, Matthew; Hollis, Zoe; Hourlier, Thibaut; Hunt, Toby; Kay, Mike; Kaykala, Vinay; Le, Tuan; Lemos, Diana; Marques-Coelho, Diego; Marugán, José Carlos; Merino, Gabriela Alejandra; Mirabueno, Louisse Paola; Mushtaq, Aleena; Hossain, Syed Nakib; Ogeh, Denye N; Sakthivel, Manoj Pandian; Parker, Anne; Perry, Malcolm; Piližota, Ivana; Prosovetskaia, Irina; Pérez-Silva, José G; Salam, Ahamed Imran Abdul; Saraiva-Agostinho, Nuno; Schuilenburg, Helen; Sheppard, Dan; Sinha, Swati; Sipos, Botond; Stark, William; Steed, Emily; Sukumaran, Ranjit; Sumathipala, Dulika; Suner, Marie-Marthe; Surapaneni, Likhitha; Sutinen, Kyösti; Szpak, Michal; Tricomi, Francesca Floriana; Urbina-Gómez, David; Veidenberg, Andres; Walsh, Thomas A; Walts, Brandon; Wass, Elizabeth; Willhoft, Natalie; Allen, Jamie; Alvarez-Jarreta, Jorge; Chakiachvili, Marc; Flint, Bethany; Giorgetti, Stefano; Haggerty, Leanne; Ilsley, Garth R; Loveland, Jane E; Moore, Benjamin; Mudge, Jonathan M; Tate, John; Thybert, David; Trevanion, Stephen J; Winterbottom, Andrea; Frankish, Adam; Hunt, Sarah E; Ruffier, Magali; Cunningham, Fiona; Dyer, Sarah; Finn, Robert D; Howe, Kevin L; Harrison, Peter W; Yates, Andrew D; Flicek, Paul; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac958","created_at":"2024-03-27T20:58:17.845Z","updated_at":"2024-03-27T20:58:17.845Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2205,"relation":"undefined"},{"licence_name":"Ensembl Legal Disclaimer","licence_id":281,"licence_url":"https://www.ensembl.org/info/about/legal/disclaimer.html","link_id":2207,"relation":"undefined"}],"grants":[{"id":1043,"fairsharing_record_id":1867,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:54.278Z","updated_at":"2021-09-30T09:24:54.278Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9221,"fairsharing_record_id":1867,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.412Z","updated_at":"2022-04-11T12:07:23.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1044,"fairsharing_record_id":1867,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:54.316Z","updated_at":"2021-09-30T09:24:54.316Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1045,"fairsharing_record_id":1867,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:54.358Z","updated_at":"2021-09-30T09:24:54.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1lCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c69627bba21f69132423b7e5a5571540b5d50773/ens.png?disposition=inline","exhaustive_licences":false}},{"id":"1868","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-16T15:45:06.703Z","metadata":{"doi":"10.25504/FAIRsharing.29we0s","name":"HUGO Gene Nomenclature Committee","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"hgnc@genenames.org"}],"homepage":"https://www.genenames.org/","citations":[],"identifier":1868,"description":"The HUGO Gene Nomenclature Committee (HGNC) is responsible for approving unique symbols, names and IDs for human loci, including protein coding genes, ncRNA genes and pseudogenes, to allow unambiguous scientific communication. The HGNC database is the resource for approved human gene nomenclature and is accessed via the website genenames.org. The website displays a page for every named gene and includes curated nomenclature information (including approved, previous and alias gene names and symbols). The website also displays manually curated gene group pages, the HCOP orthology tool and multi-symbol checker, and links to many other resources. HGNC is a Global Core Biodata Resource and an ELIXIR Core Data Resource. ","abbreviation":"HGNC","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://blog.genenames.org/","name":"Blog","type":"Blog/News"},{"url":"https://www.genenames.org/contact/request/","name":"Gene symbol request","type":"Contact form"},{"url":"https://www.genenames.org/contact/feedback/","name":"Feedback","type":"Contact form"},{"url":"https://www.genenames.org/help/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.genenames.org/help/search/","name":"Search help","type":"Help documentation"},{"url":"https://www.genenames.org/about/guidelines/","name":"Guidelines","type":"Help documentation"},{"url":"https://twitter.com/genenames","name":"Twitter","type":"Twitter"}],"year_creation":1979,"data_versioning":"yes","associated_tools":[{"url":"https://www.genenames.org/tools/hcop/","name":"HCOP"},{"url":"https://www.genenames.org/tools/multi-symbol-checker/","name":"Multi-symbol checker"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010901","name":"re3data:r3d100010901","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002827","name":"SciCrunch:RRID:SCR_002827","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.genenames.org/about/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.genenames.org/help/request-symbol/","type":"open","notes":"Curators check that proposed nomenclature is unique and follows the guidelines."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000331","bsg-d000331"],"name":"FAIRsharing record for: HUGO Gene Nomenclature Committee","abbreviation":"HGNC","url":"https://fairsharing.org/10.25504/FAIRsharing.29we0s","doi":"10.25504/FAIRsharing.29we0s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HUGO Gene Nomenclature Committee (HGNC) is responsible for approving unique symbols, names and IDs for human loci, including protein coding genes, ncRNA genes and pseudogenes, to allow unambiguous scientific communication. The HGNC database is the resource for approved human gene nomenclature and is accessed via the website genenames.org. The website displays a page for every named gene and includes curated nomenclature information (including approved, previous and alias gene names and symbols). The website also displays manually curated gene group pages, the HCOP orthology tool and multi-symbol checker, and links to many other resources. HGNC is a Global Core Biodata Resource and an ELIXIR Core Data Resource. ","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10942},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13138},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16198},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19480}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Ontology and Terminology"],"domains":["Gene name","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":375,"pubmed_id":17984084,"title":"The HGNC Database in 2008: a resource for the human genome.","year":2007,"url":"http://doi.org/10.1093/nar/gkm881","authors":"Bruford EA., Lush MJ., Wright MW., Sneddon TP., Povey S., Birney E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm881","created_at":"2021-09-30T08:23:00.308Z","updated_at":"2021-09-30T08:23:00.308Z"},{"id":772,"pubmed_id":25361968,"title":"Genenames.org: the HGNC resources in 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku1071","authors":"Gray KA,Yates B,Seal RL,Wright MW,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1071","created_at":"2021-09-30T08:23:45.078Z","updated_at":"2021-09-30T11:28:50.769Z"},{"id":792,"pubmed_id":23161694,"title":"Genenames.org: the HGNC resources in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1066","authors":"Gray KA,Daugherty LC,Gordon SM,Seal RL,Wright MW,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1066","created_at":"2021-09-30T08:23:47.286Z","updated_at":"2021-09-30T11:28:51.500Z"},{"id":1833,"pubmed_id":27799471,"title":"Genenames.org: the HGNC and VGNC resources in 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1033","authors":"Yates B,Braschi B,Gray KA,Seal RL,Tweedie S,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1033","created_at":"2021-09-30T08:25:45.862Z","updated_at":"2021-09-30T11:29:21.369Z"},{"id":2354,"pubmed_id":20929869,"title":"genenames.org: the HGNC resources in 2011.","year":2010,"url":"http://doi.org/10.1093/nar/gkq892","authors":"Seal RL,Gordon SM,Lush MJ,Wright MW,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq892","created_at":"2021-09-30T08:26:49.341Z","updated_at":"2021-09-30T11:29:33.587Z"},{"id":4127,"pubmed_id":30304474,"title":"Genenames.org: the HGNC and VGNC resources in 2019.","year":2019,"url":"https://doi.org/10.1093/nar/gky930","authors":"Braschi B, Denny P, Gray K, Jones T, Seal R, Tweedie S, Yates B, Bruford E","journal":"Nucleic acids research","doi":"10.1093/nar/gky930","created_at":"2024-02-16T11:49:38.252Z","updated_at":"2024-02-16T11:49:38.252Z"},{"id":4128,"pubmed_id":36243972,"title":"Genenames.org: the HGNC resources in 2023.","year":2023,"url":"https://doi.org/10.1093/nar/gkac888","authors":"Seal RL, Braschi B, Gray K, Jones TEM, Tweedie S, Haim-Vilmovsky L, Bruford EA","journal":"Nucleic acids research","doi":"10.1093/nar/gkac888","created_at":"2024-02-16T12:07:36.522Z","updated_at":"2024-02-16T12:07:36.522Z"},{"id":4129,"pubmed_id":33152070,"title":"Genenames.org: the HGNC and VGNC resources in 2021.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa980","authors":"Tweedie S, Braschi B, Gray K, Jones TEM, Seal RL, Yates B, Bruford EA","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa980","created_at":"2024-02-16T12:07:53.091Z","updated_at":"2024-02-16T12:07:53.091Z"},{"id":4130,"pubmed_id":36380364,"title":"The importance of being the HGNC.","year":2022,"url":"https://doi.org/10.1186/s40246-022-00432-w","authors":"Bruford EA, Braschi B, Haim-Vilmovsky L, Jones TEM, Seal RL, Tweedie S","journal":"Human genomics","doi":"10.1186/s40246-022-00432-w","created_at":"2024-02-16T12:16:13.556Z","updated_at":"2024-02-16T12:16:13.556Z"},{"id":4131,"pubmed_id":32747822,"title":"Guidelines for human gene nomenclature.","year":2020,"url":"https://doi.org/10.1038/s41588-020-0669-3","authors":"Bruford EA, Braschi B, Denny P, Jones TEM, Seal RL, Tweedie S","journal":"Nature genetics","doi":"10.1038/s41588-020-0669-3","created_at":"2024-02-16T12:16:41.645Z","updated_at":"2024-02-16T12:16:41.645Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1851,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1850,"relation":"undefined"},{"licence_name":"Privacy Notice for HGNC/VGNC","licence_id":679,"licence_url":"https://www.ebi.ac.uk/data-protection/privacy-notice/hgnc","link_id":1852,"relation":"undefined"},{"licence_name":"Creative Commons Zero v1.0 Universal","licence_id":1008,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","link_id":3502,"relation":"applies_to_content"}],"grants":[{"id":1048,"fairsharing_record_id":1868,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:54.465Z","updated_at":"2021-09-30T09:31:05.275Z","grant_id":1010,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"U41HG003345","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11358,"fairsharing_record_id":1868,"organisation_id":352,"relation":"maintains","created_at":"2024-02-16T12:14:14.344Z","updated_at":"2024-02-16T12:14:14.344Z","grant_id":null,"is_lead":true,"saved_state":{"id":352,"name":"University of Cambridge","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1869","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:40:52.680Z","metadata":{"doi":"10.25504/FAIRsharing.3q3kvn","name":"Escherichia coli strain K12 genome database","status":"deprecated","contacts":[{"contact_email":"krudd@med.miami.edu"}],"homepage":"http://ecogene.org/","citations":[],"identifier":1869,"description":"The EcoGene database contains updated information about the E. coli K-12 genome and proteome sequences, including extensive gene bibliographies. A major EcoGene focus has been the re-evaluation of translation start sites.","abbreviation":"EcoGene","data_curation":{"type":"not found"},"year_creation":2000,"data_versioning":"not found","associated_tools":[{"url":"http://ecogene.org/ecosearch","name":"search"},{"url":"http://www.ecogene.org/ecoblast","name":"BLAST"},{"url":"http://ecogene.org/ecosearch","name":"search"},{"url":"http://www.ecogene.org/ecoblast","name":"BLAST"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000332","bsg-d000332"],"name":"FAIRsharing record for: Escherichia coli strain K12 genome database","abbreviation":"EcoGene","url":"https://fairsharing.org/10.25504/FAIRsharing.3q3kvn","doi":"10.25504/FAIRsharing.3q3kvn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EcoGene database contains updated information about the E. coli K-12 genome and proteome sequences, including extensive gene bibliographies. A major EcoGene focus has been the re-evaluation of translation start sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Protein","Genome"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":388,"pubmed_id":10592181,"title":"EcoGene: a genome sequence database for Escherichia coli K-12.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.60","authors":"Rudd KE.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.60","created_at":"2021-09-30T08:23:02.041Z","updated_at":"2021-09-30T08:23:02.041Z"}],"licence_links":[],"grants":[{"id":1049,"fairsharing_record_id":1869,"organisation_id":818,"relation":"maintains","created_at":"2021-09-30T09:24:54.508Z","updated_at":"2021-09-30T09:24:54.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":818,"name":"EcoGene, University of Miami, Coral Gables, FL, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1870","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:29:20.653Z","metadata":{"doi":"10.25504/FAIRsharing.286amb","name":"MycoBrowser leprae","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://mycobrowser.epfl.ch/leprosy.html","identifier":1870,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria leprae information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://mycobrowser.epfl.ch/leprosyblastsearch.php","name":"blast"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000333","bsg-d000333"],"name":"FAIRsharing record for: MycoBrowser leprae","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.286amb","doi":"10.25504/FAIRsharing.286amb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria leprae information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium leprae"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1050,"fairsharing_record_id":1870,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.548Z","updated_at":"2021-09-30T09:24:54.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1871","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:18.787Z","metadata":{"doi":"10.25504/FAIRsharing.vfgn70","name":"MycoBrowser marinum","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://mycobrowser.epfl.ch/marinolist.html","identifier":1871,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria marinum information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://mycobrowser.epfl.ch/marinoblastsearch.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000334","bsg-d000334"],"name":"FAIRsharing record for: MycoBrowser marinum","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.vfgn70","doi":"10.25504/FAIRsharing.vfgn70","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria marinum information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium marinum"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1051,"fairsharing_record_id":1871,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.599Z","updated_at":"2021-09-30T09:24:54.599Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1872","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:53:04.839Z","metadata":{"doi":"10.25504/FAIRsharing.wxh9gn","name":"MycoBrowser smegmatis","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://mycobrowser.epfl.ch/smegmalist.html","identifier":1872,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria smegmatis information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://mycobrowser.epfl.ch/smegmablastsearch.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000335","bsg-d000335"],"name":"FAIRsharing record for: MycoBrowser smegmatis","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.wxh9gn","doi":"10.25504/FAIRsharing.wxh9gn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria smegmatis information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium smegmatis"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1052,"fairsharing_record_id":1872,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.641Z","updated_at":"2021-09-30T09:24:54.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1873","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T17:57:41.277Z","metadata":{"doi":"10.25504/FAIRsharing.6s44n0","name":"MycoBrowser tuberculosis","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://tuberculist.epfl.ch/","citations":[],"identifier":1873,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria tuberculosis information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"data_versioning":"not found","associated_tools":[{"url":"http://tuberculist.epfl.ch/blastsearch.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000336","bsg-d000336"],"name":"FAIRsharing record for: MycoBrowser tuberculosis","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6s44n0","doi":"10.25504/FAIRsharing.6s44n0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria tuberculosis information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium tuberculosis"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1053,"fairsharing_record_id":1873,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.682Z","updated_at":"2021-09-30T09:24:54.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1865","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:37:25.113Z","metadata":{"doi":"10.25504/FAIRsharing.mya1ff","name":"The European Genome-phenome Archive","status":"ready","contacts":[{"contact_name":"EGA Helpdesk","contact_email":"helpdesk@ega-archive.org"}],"homepage":"https://ega-archive.org/","citations":[{"doi":"10.1093/nar/gkab1059","pubmed_id":null,"publication_id":3236}],"identifier":1865,"description":"The European Genome-phenome Archive (EGA) is a service for permanent archiving and sharing of personally identifiable genetic, phenotypic, and clinical data generated for the purposes of biomedical research projects or in the context of research-focused healthcare systems. Access to data must be approved by the specified Data Access Committee (DAC).","abbreviation":"EGA","data_curation":{"type":"manual","notes":"Resource managers enrich the contents of the EGA contributing with our knowledge about genomics and the relationship between genomes and phenomes."},"support_links":[{"url":"https://ega-archive.org/access/faq","name":"Access FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ega-archive.org/about/ega/","name":"About EGA","type":"Help documentation"},{"url":"https://ega-archive.org/access/data-access","name":"Data Access Guide","type":"Help documentation"},{"url":"https://twitter.com/EGAarchive","name":"@EGAarchive","type":"Twitter"},{"url":"https://embl-ebi.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=58d299c7-7e25-4b48-8fc3-ad18011ef0b4","name":"How to use star2xml (video)","type":"Training documentation"},{"url":"https://embl-ebi.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=497e5189-5883-4290-941b-ad2800af6636","name":"Programmatic submission to EGA (video)","type":"Training documentation"},{"url":"https://blog.ega-archive.org/","name":"EGA Blog","type":"Blog/News"},{"url":"https://ega-archive.org/need-help/","name":"Help form","type":"Contact form"},{"url":"https://tess.elixir-europe.org/materials/ega-submitter-portal-tutorial","name":"EGA Submitter Portal Tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/introduction-to-exploring-genome-phenome-data-with-ega","name":"Introduction to exploring genome-phenome data with EGA","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/introduction-to-the-ega-and-its-ecosystem-of-tools","name":"Introduction to the EGA and its Ecosystem of Tools","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/the-essentials-of-duo-codes","name":"The essentials of DUO codes","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/hands-on-for-trio-analysis-using-synthetic-datasets-from-rd-connect-gpap-tutorial","name":"Hands-on for 'Trio Analysis using Synthetic Datasets from RD-Connect GPAP' tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/working-with-sensitive-data","name":"Working with sensitive data","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/european-genome-phenome-archive","name":"European Genome-phenome Archive: Quick tour","type":"TeSS links to training materials"},{"url":"https://github.com/EGA-archive","name":"GitHub repository","type":"Github"},{"url":"https://github.com/EbiEga","name":"GitHub EbiEga Repository","type":"Github"},{"url":"ega-announce@lists.ega-archive.org","name":"EGA Announcements Mailing List","type":"Mailing list"},{"url":"https://www.linkedin.com/company/88472098/admin/feed/posts/","name":"EGA LinkedIn Page","type":"Other"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://ega-archive.org/submission/data/file-preparation/egacryptor/","name":"EgaCryptor"},{"url":"https://ega-archive.org/submission/tools/ftp-aspera","name":"File Upload"},{"url":"https://pypi.org/project/pyega3/","name":"pyEGA3 - Secure Download Client"},{"url":"https://github.com/EGA-archive/star2xml","name":"Star2XML"},{"url":"https://github.com/EGA-archive/ega-fuse-client","name":"EGA FUSE client"},{"url":"https://submission.ega-archive.org/","name":"Submitter Portal"},{"url":"https://dac.ega-archive.org/","name":"DAC Portal"},{"url":"https://github.com/EGA-archive/ega-quickview","name":"EGA Quick View"},{"url":"https://ega-archive.org/access/download/metadata/","name":"Metadata API"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011242","name":"re3data:r3d100011242","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004944","name":"SciCrunch:RRID:SCR_004944","portal":"SciCrunch"}],"data_access_condition":{"type":"controlled","notes":"Data at EGA was collected from individuals whose consent agreements authorise data release only for specific research use to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the EGA project."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ega-archive.org/submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000328","bsg-d000328"],"name":"FAIRsharing record for: The European Genome-phenome Archive","abbreviation":"EGA","url":"https://fairsharing.org/10.25504/FAIRsharing.mya1ff","doi":"10.25504/FAIRsharing.mya1ff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Genome-phenome Archive (EGA) is a service for permanent archiving and sharing of personally identifiable genetic, phenotypic, and clinical data generated for the purposes of biomedical research projects or in the context of research-focused healthcare systems. Access to data must be approved by the specified Data Access Committee (DAC).","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10941},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11009},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11342},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11522},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11841},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12243},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12641},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12955},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14189}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Clinical Studies","Phenomics","Biomedical Science","Biology"],"domains":["DNA sequence data","Cancer","Genetic polymorphism","Rare disease","RNA sequencing","Microarray experiment","Whole genome sequencing","Phenotype","Disease phenotype","Genome","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19","Single cell gene expression"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2373,"pubmed_id":26111507,"title":"The European Genome-phenome Archive of human data consented for biomedical research.","year":2015,"url":"http://doi.org/10.1038/ng.3312","authors":"Lappalainen I,Almeida-King J,Kumanduri V et al.","journal":"Nat Genet","doi":"10.1038/ng.3312","created_at":"2021-09-30T08:26:51.694Z","updated_at":"2021-09-30T08:26:51.694Z"},{"id":3236,"pubmed_id":null,"title":"The European Genome-phenome Archive in 2021","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1059","authors":"Freeberg, Mallory Ann; Fromont, Lauren A; D’Altri, Teresa; Romero, Anna Foix; Ciges, Jorge Izquierdo; Jene, Aina; Kerry, Giselle; Moldes, Mauricio; Ariosa, Roberto; Bahena, Silvia; Barrowdale, Daniel; Barbero, Marcos Casado; Fernandez-Orth, Dietmar; Garcia-Linares, Carles; Garcia-Rios, Emilio; Haziza, Frédéric; Juhasz, Bela; Llobet, Oscar Martinez; Milla, Gemma; Mohan, Anand; Rueda, Manuel; Sankar, Aravind; Shaju, Dona; Shimpi, Ashutosh; Singh, Babita; Thomas, Coline; de la Torre, Sabela; Uyan, Umuthan; Vasallo, Claudia; Flicek, Paul; Guigo, Roderic; Navarro, Arcadi; Parkinson, Helen; Keane, Thomas; Rambla, Jordi; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1059","created_at":"2022-02-15T09:38:47.360Z","updated_at":"2022-02-15T09:38:47.360Z"}],"licence_links":[{"licence_name":"EGA Legal Notice and Terms of Data Use","licence_id":263,"licence_url":"https://ega-archive.org/legal-notice","link_id":1322,"relation":"undefined"}],"grants":[{"id":1032,"fairsharing_record_id":1865,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:53.865Z","updated_at":"2021-09-30T09:24:53.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Asuntos Economicos y Transformacion Digital","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1036,"fairsharing_record_id":1865,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:54.027Z","updated_at":"2021-09-30T09:24:54.027Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1033,"fairsharing_record_id":1865,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:24:53.908Z","updated_at":"2021-09-30T09:29:39.603Z","grant_id":347,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PT13/0001/0026","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1034,"fairsharing_record_id":1865,"organisation_id":479,"relation":"funds","created_at":"2021-09-30T09:24:53.959Z","updated_at":"2021-09-30T09:31:43.886Z","grant_id":1301,"is_lead":false,"saved_state":{"id":479,"name":"Centro de Excelencia Severo Ochoa","grant":"SEV-2012-0208","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9754,"fairsharing_record_id":1865,"organisation_id":3630,"relation":"maintains","created_at":"2022-08-03T07:16:13.691Z","updated_at":"2022-08-03T07:16:13.691Z","grant_id":null,"is_lead":true,"saved_state":{"id":3630,"name":"Centre for Genomic Regulation","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1035,"fairsharing_record_id":1865,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:53.995Z","updated_at":"2021-09-30T09:29:51.257Z","grant_id":436,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"WT 085475/C/08/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1037,"fairsharing_record_id":1865,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:54.054Z","updated_at":"2021-09-30T09:30:15.139Z","grant_id":622,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","grant":"G0800681","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZDg9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e00754101f557d66dde0a63d5347b36a704a76d8/ega-logo.png?disposition=inline","exhaustive_licences":true}},{"id":"1866","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-10T11:52:27.960Z","metadata":{"doi":"10.25504/FAIRsharing.tf6kj8","name":"Reactome","status":"ready","contacts":[{"contact_name":"Reactome Helpdesk","contact_email":"help@reactome.org"}],"homepage":"https://reactome.org","citations":[{"doi":"10.1093/nar/gkz1031","pubmed_id":31691815,"publication_id":2077}],"identifier":1866,"description":"The cornerstone of Reactome is a freely available, open source relational database of signaling and metabolic molecules and their relations organized into biological pathways and processes. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes, vaccines, anti-cancer therapeutics and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways. Examples of biological pathways in Reactome include classical intermediary metabolism, signaling, transcriptional regulation, apoptosis and disease. Inferred orthologous reactions are available for 15 non-human species including mouse, rat, chicken, zebrafish, worm, fly, and yeast.","abbreviation":null,"data_curation":{"url":"https://reactome.org/what-is-reactome","type":"manual"},"support_links":[{"url":"https://reactome.org/content/schema/DatabaseObject","name":"Data Schema","type":"Help documentation"},{"url":"https://reactome.org/documentation","name":"Reactome User Guide","type":"Help documentation"},{"url":"https://reactome.org/documentation/inferred-events","name":"Computationally-inferred Events","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/pathway-visualization-in-the-reactome-pathway-database","name":"Pathway visualization in the Reactome pathway database","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/reactome","name":"Reactome","type":"TeSS links to training materials"},{"url":"https://reactome.org/community/training","name":"Reactome Training Material","type":"Training documentation"},{"url":"https://twitter.com/reactome","name":"@reactome","type":"Twitter"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"https://reactome.org/tools/reactome-fiviz","name":"ReactomeFIVIz"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010861","name":"re3data:r3d100010861","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003485","name":"SciCrunch:RRID:SCR_003485","portal":"SciCrunch"}],"data_access_condition":{"url":"https://reactome.org/what-is-reactome","type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000329","bsg-d000329"],"name":"FAIRsharing record for: Reactome","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tf6kj8","doi":"10.25504/FAIRsharing.tf6kj8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The cornerstone of Reactome is a freely available, open source relational database of signaling and metabolic molecules and their relations organized into biological pathways and processes. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes, vaccines, anti-cancer therapeutics and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways. Examples of biological pathways in Reactome include classical intermediary metabolism, signaling, transcriptional regulation, apoptosis and disease. Inferred orthologous reactions are available for 15 non-human species including mouse, rat, chicken, zebrafish, worm, fly, and yeast.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11059},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11343},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11523},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12164},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12244},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12303},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12642},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16188}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Proteomics","Virology","Life Science","Metabolomics","Transcriptomics","Epidemiology"],"domains":["Reaction data","Protein interaction","Omics data analysis","Signaling","Biological regulation","Molecular interaction","Genetic interaction","Drug interaction","Curated information","Disease","Pathway model"],"taxonomies":["Bos taurus","Caenorhabditis elegans","Canis familiaris","Danio rerio","Dictyostelium discoideum","Drosophila melanogaster","Gallus gallus","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Plasmodium falciparum","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Sus scrofa","Xenopus tropicalis"],"user_defined_tags":["COVID-19"],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":1463,"pubmed_id":29145629,"title":"The Reactome Pathway Knowledgebase.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1132","authors":"Fabregat A,Jupe S,Matthews L,Sidiropoulos K,Gillespie M,Garapati P,Haw R,Jassal B,Korninger F,May B,Milacic M,Roca CD,Rothfels K,Sevilla C,Shamovsky V,Shorser S,Varusai T,Viteri G,Weiser J,Wu G,Stein L,Hermjakob H,D'Eustachio P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1132","created_at":"2021-09-30T08:25:03.473Z","updated_at":"2021-09-30T11:29:09.176Z"},{"id":2077,"pubmed_id":31691815,"title":"The reactome pathway knowledgebase.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1031","authors":"Jassal B,Matthews L,Viteri G,Gong C,Lorente P,Fabregat A,Sidiropoulos K,Cook J,Gillespie M,Haw R,Loney F,May B,Milacic M,Rothfels K,Sevilla C,Shamovsky V,Shorser S,Varusai T,Weiser J,Wu G,Stein L,Hermjakob H,D'Eustachio P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1031","created_at":"2021-09-30T08:26:14.155Z","updated_at":"2021-09-30T11:29:27.977Z"},{"id":2895,"pubmed_id":15608231,"title":"Reactome: a knowledgebase of biological pathways.","year":2004,"url":"http://doi.org/10.1093/nar/gki072","authors":"Joshi-Tope G., Gillespie M., Vastrik I., D'Eustachio P., Schmidt E., de Bono B., Jassal B., Gopinath GR., Wu GR., Matthews L., Lewis S., Birney E., Stein L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki072","created_at":"2021-09-30T08:27:56.474Z","updated_at":"2021-09-30T08:27:56.474Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1266,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1265,"relation":"undefined"},{"licence_name":"Reactome Licence Agreement","licence_id":701,"licence_url":"https://reactome.org/license","link_id":1267,"relation":"undefined"}],"grants":[{"id":1040,"fairsharing_record_id":1866,"organisation_id":2246,"relation":"maintains","created_at":"2021-09-30T09:24:54.170Z","updated_at":"2021-09-30T09:24:54.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":2246,"name":"Ontario Institute For Cancer Research (OICR), Toronto, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1039,"fairsharing_record_id":1866,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:54.130Z","updated_at":"2021-09-30T09:24:54.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1041,"fairsharing_record_id":1866,"organisation_id":2155,"relation":"maintains","created_at":"2021-09-30T09:24:54.207Z","updated_at":"2021-09-30T09:24:54.207Z","grant_id":null,"is_lead":false,"saved_state":{"id":2155,"name":"New York University Langone Medical Center (NYULMC), New York, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1042,"fairsharing_record_id":1866,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:24:54.246Z","updated_at":"2021-09-30T09:24:54.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1859","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:42.809Z","metadata":{"doi":"10.25504/FAIRsharing.hjybww","name":"Ligand-Gated Ion Channel database","status":"deprecated","contacts":[{"contact_name":"Nicolas Le Novere","contact_email":"lenov@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/compneur-srv/LGICdb/","identifier":1859,"description":"The Ligand-Gated Ion Channel database provides nucleic and proteic sequences of the subunits of ligand-gated ion channels. The database can be used to generate multiple sequence alignments from selected subunits, and gives the atomic coordinates of subunits, or portion of subunits, where available.","abbreviation":"LGICdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/compneur-srv/LGICdb/FAQ.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1994,"data_versioning":"not found","associated_tools":[{"url":"http://www.ebi.ac.uk/fasta/lgicp.html","name":"BLAST"}],"deprecation_date":"2016-12-30","deprecation_reason":"The database has been official frozen and no longer being actively maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000320","bsg-d000320"],"name":"FAIRsharing record for: Ligand-Gated Ion Channel database","abbreviation":"LGICdb","url":"https://fairsharing.org/10.25504/FAIRsharing.hjybww","doi":"10.25504/FAIRsharing.hjybww","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ligand-Gated Ion Channel database provides nucleic and proteic sequences of the subunits of ligand-gated ion channels. The database can be used to generate multiple sequence alignments from selected subunits, and gives the atomic coordinates of subunits, or portion of subunits, where available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science"],"domains":["Ligand","Ion channel activity","Protein","Sequence","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":369,"pubmed_id":9847222,"title":"The Ligand Gated Ion Channel Database.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.340","authors":"Le Novère N., Changeux JP.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/27.1.340","created_at":"2021-09-30T08:22:59.657Z","updated_at":"2021-09-30T08:22:59.657Z"},{"id":851,"pubmed_id":11125117,"title":"LGICdb: the ligand-gated ion channel database.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.294","authors":"Le Novere N,Changeux JP","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.294","created_at":"2021-09-30T08:23:53.926Z","updated_at":"2021-09-30T11:28:53.985Z"},{"id":1618,"pubmed_id":16381861,"title":"LGICdb: a manually curated sequence database after the genomes.","year":2005,"url":"http://doi.org/10.1093/nar/gkj104","authors":"Donizelli M,Djite MA,Le Novere N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj104","created_at":"2021-09-30T08:25:21.302Z","updated_at":"2021-09-30T11:29:16.227Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":491,"relation":"undefined"}],"grants":[{"id":1010,"fairsharing_record_id":1859,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:24:52.965Z","updated_at":"2021-09-30T09:24:52.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1008,"fairsharing_record_id":1859,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.895Z","updated_at":"2021-09-30T09:24:52.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1009,"fairsharing_record_id":1859,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:24:52.928Z","updated_at":"2021-09-30T09:24:52.928Z","grant_id":null,"is_lead":true,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1879","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:16.671Z","metadata":{"doi":"10.25504/FAIRsharing.f94905","name":"Eukaryotic Pathogen, Vector and Host Informatics Resource","status":"ready","contacts":[{"contact_name":"Christian J. Stoeckert Jr.","contact_email":"stoeckrt@pcbi.upenn.edu"}],"homepage":"https://veupathdb.org/veupathdb/app/","citations":[{"doi":"10.1007/978-1-4939-7737-6_5","pubmed_id":29761457,"publication_id":1203}],"identifier":1879,"description":"The Eukaryotic Pathogen, Vector and Host Informatics Resource (VEuPathDB) focuses on eukaryotic pathogens and invertebrate vectors of infectious diseases, , encompassing data from prior resources devoted to parasitic species (EuPathDB), fungi (FungiDB) and vector species (VectorBase). While each of the taxonomic groups within this resource is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all of these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"VEuPathDB","data_curation":{"url":"https://veupathdb.org/veupathdb/app/#curation","type":"manual/automated"},"support_links":[{"url":"https://veupathdb.org/veupathdb/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://veupathdb.org/veupathdb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/static-content/glossary.html","name":"VEuPathDB Glossary","type":"Help documentation"},{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_User_Documentation.pdf","name":"User Documentation (PDF)","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/search/organism/GenomeDataTypes/result","name":"Statistics","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/static-content/about.html","name":"About Us","type":"Help documentation"},{"url":"https://veupathdb.org/pubcrawler/EuPathDB/","name":"Related Publications","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/static-content/methods.html","name":"Data Analysis Methods","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011557","name":"re3data:r3d100011557","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004512","name":"SciCrunch:RRID:SCR_004512","portal":"SciCrunch"}],"data_access_condition":{"url":"https://veupathdb.org/veupathdb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://veupathdb.org/veupathdb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://veupathdb.org/veupathdb/app/#submit-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000344","bsg-d000344"],"name":"FAIRsharing record for: Eukaryotic Pathogen, Vector and Host Informatics Resource","abbreviation":"VEuPathDB","url":"https://fairsharing.org/10.25504/FAIRsharing.f94905","doi":"10.25504/FAIRsharing.f94905","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Eukaryotic Pathogen, Vector and Host Informatics Resource (VEuPathDB) focuses on eukaryotic pathogens and invertebrate vectors of infectious diseases, , encompassing data from prior resources devoted to parasitic species (EuPathDB), fungi (FungiDB) and vector species (VectorBase). While each of the taxonomic groups within this resource is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all of these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10767},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10943},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11060},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11346},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12145},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16182}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Molecular biology","Medical Microbiology","Applied Microbiology","Epigenomics","Molecular Infection Biology","Metagenomics","Genomics","Epigenetics","Bioinformatics","Data Mining","Structural Biology","Clinical Studies","Public Health","Health Science","Data Management","Proteomics","Data Quality","Phylogenetics","Immunology","Entomology","Quantitative Genetics","Microbial Genetics","Structural Genomics","Metatranscriptomics","Infectious Disease Medicine","Proteogenomics","Biotechnology","Evolutionary Biology","Molecular Microbiology","Computational Biology","Phylogenomics","Molecular Genetics","Metabolomics","Transcriptomics","Cell Biology","Phenomics","Database Management","Biomedical Science","Comparative Genomics","Parasitology","Microbiology","Omics","Biology","Tropical Medicine","Epidemiology","Systems Biology","Population Genetics"],"domains":["Functional domain","RNA secondary structure","Molecular structure","GC content","Gene report","Protein name","Sequence position","Sequence cluster","Polymerase chain reaction primers","Sequence length","Genetic map","Physical map","Cytogenetic map","Genome map","Nucleic acid sequence alignment","Sequence similarity","Protein structure","Protein domain","Structure alignment (pair)","Codon usage table","Taxonomic classification","Gene name","Resource metadata","Expression data","Nucleic acid sequence","Peptide property","Experimental measurement","Raw microarray data","Biological sample annotation","Protein image","DNA sequence data","RNA sequence","Free text","Geographical location","Gene Ontology enrichment","Annotation","Transmembrane protein prediction","Structure-based sequence alignment","Text mining","Sequence annotation","Genome annotation","PTM site prediction","Transcription factor binding site prediction","Multiple sequence alignment","Genomic assembly","Data retrieval","Computational biological predictions","Validation","Gene prediction","Genome alignment","Genome visualization","Differential gene expression analysis","Clustering","Gene functional annotation","Protein identification","Quantification","Biological network analysis","Protein interaction","Sequence composition, complexity and repeats","Model organism","Function analysis","Data acquisition","DNA structural variation","Biobank","Data identity and mapping","Histone","Carbohydrate","Peptide","Deoxyribonucleic acid","Ribosomal RNA","Metabolite","Nucleic acid","Ribonucleic acid","C-terminal amino acid residue","N-terminal amino acid residue","Nucleotide","Cell line","Cell","Malaria","Tropical","Microscopy","Peptide library","Video","Cellular assay","Next generation DNA sequencing","Quality control","RNAi screening","Omics data analysis","Proteome","Gene model annotation","Alternative splicing","Centromere","Molecular function","Chromatin binding","Cellular component","Nucleus","Chromosome","Mitochondrion","DNA methylation","Translation","Translation initiation","Protein folding","Protein localization","Biological process","RNA splicing","RNA modification","Plastid","Gene expression","Organelle","Post-translational protein modification","Cellular localization","Chromosomal region","Parasite","Pathogen","Evolution","Genetic polymorphism","Transcription factor","Protein Analysis","Protein expression","Workflow","Rare disease","Biological sample","Assay","Polymerase Chain Reaction","Enzyme","Plasmid","Protein expression profiling","DNA sequencing assay","Chromatin immunoprecipitation - DNA sequencing","Host","RNA sequencing","Microarray experiment","Whole genome sequencing","Sequence alignment","Data transformation","Digital curation","Sequencing","Infection","Gene regulatory element","Genetic marker","Phenotype","Disease phenotype","Disease","Mitochondrial genome","Protein","Sequence","Transposable element","Sequence feature","Primer","Exon","Contig","Sequencing read","Splice site","Promoter","Intron","Untranslated region","Messenger RNA","Flanking region","Transfer RNA","Micro RNA","Microsatellite","Experimentally determined","Coding sequence","Pseudogene","Binding site","Signal peptide","Non-coding RNA","Transcript","Single nucleotide polymorphism","Gene","Tandem repeat","Mitochondrial sequence","Plastid sequence","Amino acid sequence","Homologous","Orthologous","Paralogous","16S rRNA","Allele","Genome","Mobile genetic element","Sequence variant","Reference genome","Sequence motif","Long non-coding RNA","Genome-wide association study","Allele frequency","Blood","Genotype","Copy number variation","Microbiome","Infectious disease","FAIR","Biocuration"],"taxonomies":["Acanthamoeba","Aedes aegypti","Anncaliia","Anopheles gambiae","Babesia","Crithidia","Cryptosporidium","Edhazardia","Eimeria","Encephalitozoon","Endotrypanum","Entamoeba","Enterocytozoon","Giardia","Gregarina","Hamiltosporidium","Leishmania","Nematocida","Neospora","Nosema","Plasmodium","Theileria","Toxoplasma","Trichomonas","Trypanosoma","Vavraia","Vittaforma"],"user_defined_tags":[],"countries":["Uganda","United Kingdom","United States"],"publications":[{"id":4,"pubmed_id":25388105,"title":"The Eukaryotic Pathogen Databases: a functional genomic resource integrating data from human and veterinary parasites.","year":2014,"url":"http://doi.org/10.1007/978-1-4939-1438-8_1","authors":"Harb OS,Roos DS","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-1438-8_1","created_at":"2021-09-30T08:22:20.997Z","updated_at":"2021-09-30T08:22:20.997Z"},{"id":72,"pubmed_id":19914931,"title":"EuPathDB: a portal to eukaryotic pathogen databases.","year":2009,"url":"http://doi.org/10.1093/nar/gkp941","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp941","created_at":"2021-09-30T08:22:27.954Z","updated_at":"2021-09-30T08:22:27.954Z"},{"id":1199,"pubmed_id":24936976,"title":"Standardized metadata for human pathogen/vector genomic sequences.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0099979","authors":"Dugan VG,Emrich SJ,Giraldo-Calderon GI et al.","journal":"PLoS One","doi":"10.1371/journal.pone.0099979","created_at":"2021-09-30T08:24:33.566Z","updated_at":"2021-09-30T08:24:33.566Z"},{"id":1203,"pubmed_id":29761457,"title":"EuPathDB: The Eukaryotic Pathogen Genomics Database Resource.","year":2018,"url":"http://doi.org/10.1007/978-1-4939-7737-6_5","authors":"Warrenfeltz S,Basenko EY,Crouch K,Harb OS,Kissinger JC,Roos DS,Shanmugasundram A,Silva-Franco F","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-7737-6_5","created_at":"2021-09-30T08:24:34.049Z","updated_at":"2021-09-30T08:24:34.049Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2384,"relation":"undefined"}],"grants":[{"id":9583,"fairsharing_record_id":1879,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:25:38.222Z","updated_at":"2022-06-08T09:25:38.222Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1075,"fairsharing_record_id":1879,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:24:55.502Z","updated_at":"2021-09-30T09:24:55.502Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1073,"fairsharing_record_id":1879,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.449Z","updated_at":"2021-09-30T09:31:28.002Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1076,"fairsharing_record_id":1879,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.533Z","updated_at":"2021-09-30T09:29:56.410Z","grant_id":478,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN75N93019C00077","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8357,"fairsharing_record_id":1879,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.745Z","updated_at":"2021-09-30T09:32:14.953Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdElCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--941f7c569c6270abb4b4514405a92ab928ae6952/VEuPathDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1880","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:24.293Z","metadata":{"doi":"10.25504/FAIRsharing.e7skwg","name":"GiardiaDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"http://giardiadb.org","citations":[],"identifier":1880,"description":"A detailed study of Giardia lamblia's genome will provide insights into an early evolutionary stage of eukaryotic chromosome organization as well as other aspects of the prokaryotic / eukaryotic divergence.","abbreviation":"GiardiaDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://giardiadb.org/giardiadb/contact.do","type":"Contact form"},{"url":"http://giardiadb.org/giardiadb/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Help documentation"},{"url":"https://twitter.com/EuPathDB","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://giardiadb.org/giardiadb/showQuestion.do?questionFullName=UniversalQuestions.UnifiedBlast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012458","name":"re3data:r3d100012458","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013377","name":"SciCrunch:RRID:SCR_013377","portal":"SciCrunch"}],"data_access_condition":{"url":"https://giardiadb.org/giardiadb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://giardiadb.org/giardiadb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://giardiadb.org/giardiadb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000345","bsg-d000345"],"name":"FAIRsharing record for: GiardiaDB","abbreviation":"GiardiaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.e7skwg","doi":"10.25504/FAIRsharing.e7skwg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A detailed study of Giardia lamblia's genome will provide insights into an early evolutionary stage of eukaryotic chromosome organization as well as other aspects of the prokaryotic / eukaryotic divergence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Chromosome","Genome"],"taxonomies":["Eukaryota","Giardia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1523,"pubmed_id":18824479,"title":"GiardiaDB and TrichDB: integrated genomic resources for the eukaryotic protist pathogens Giardia lamblia and Trichomonas vaginalis.","year":2008,"url":"http://doi.org/10.1093/nar/gkn631","authors":"Aurrecoechea C et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn631","created_at":"2021-09-30T08:25:10.519Z","updated_at":"2021-09-30T08:25:10.519Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":354,"relation":"undefined"}],"grants":[{"id":9582,"fairsharing_record_id":1880,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:25:19.384Z","updated_at":"2022-06-08T09:25:19.384Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1077,"fairsharing_record_id":1880,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.573Z","updated_at":"2021-09-30T09:31:16.692Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0a300e6d973384cb689695662f5f52a5435657a7/giardiaDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1881","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:15.306Z","metadata":{"doi":"10.25504/FAIRsharing.vk0ax6","name":"MicrosporidiaDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"http://microsporidiadb.org/micro/","citations":[],"identifier":1881,"description":"MicrosporidiaDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"MicrosporidiaDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://microsporidiadb.org/micro/contact.do","type":"Contact form"},{"url":"http://microsporidiadb.org/micro/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Help documentation"},{"url":"https://twitter.com/EuPathDB","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://microsporidiadb.org/micro/app/workspace/blast/new","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012459","name":"re3data:r3d100012459","portal":"re3data"}],"data_access_condition":{"url":"https://microsporidiadb.org/micro/app/static-content/about.html#about_use","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://microsporidiadb.org/micro/app/static-content/dataSubmission.html","type":"controlled","notes":"Genomic data must come from INSDC"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000346","bsg-d000346"],"name":"FAIRsharing record for: MicrosporidiaDB","abbreviation":"MicrosporidiaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.vk0ax6","doi":"10.25504/FAIRsharing.vk0ax6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MicrosporidiaDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Pathogen","Genome"],"taxonomies":["Eukaryota","Microsporidia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":72,"pubmed_id":19914931,"title":"EuPathDB: a portal to eukaryotic pathogen databases.","year":2009,"url":"http://doi.org/10.1093/nar/gkp941","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp941","created_at":"2021-09-30T08:22:27.954Z","updated_at":"2021-09-30T08:22:27.954Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":355,"relation":"undefined"}],"grants":[{"id":9581,"fairsharing_record_id":1881,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:59.509Z","updated_at":"2022-06-08T09:24:59.509Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1078,"fairsharing_record_id":1881,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.604Z","updated_at":"2021-09-30T09:31:16.706Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdFFCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--17bd3e34271f701973b3f0f86f7985d08b624bbb/microsporidiaDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1894","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:13.100Z","metadata":{"doi":"10.25504/FAIRsharing.88b6b5","name":"Protein Classification Benchmark Collection","status":"deprecated","contacts":[{"contact_email":"benchmark@icgeb.org"}],"homepage":"http://net.icgeb.org/benchmark/","identifier":1894,"description":"The Protein Classification Benchmark Collection was created in order to create standard datasets on which the performance of machine learning methods can be compared.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://net.icgeb.org/benchmark/index.php?page=30","type":"Help documentation"},{"url":"http://net.icgeb.org/benchmark/index.php?page=01","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://net.icgeb.org/benchmark/index.php?page=10","name":"browse"},{"url":"http://net.icgeb.org/benchmark/index.php?page=60","name":"submit"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000359","bsg-d000359"],"name":"FAIRsharing record for: Protein Classification Benchmark Collection","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.88b6b5","doi":"10.25504/FAIRsharing.88b6b5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Classification Benchmark Collection was created in order to create standard datasets on which the performance of machine learning methods can be compared.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[],"licence_links":[],"grants":[{"id":1121,"fairsharing_record_id":1894,"organisation_id":1477,"relation":"maintains","created_at":"2021-09-30T09:24:56.912Z","updated_at":"2021-09-30T09:24:56.912Z","grant_id":null,"is_lead":false,"saved_state":{"id":1477,"name":"International Centre Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1122,"fairsharing_record_id":1894,"organisation_id":1598,"relation":"maintains","created_at":"2021-09-30T09:24:56.936Z","updated_at":"2021-09-30T09:24:56.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1598,"name":"Jedlik Laboratories: Bioinformatics, Faculty of Information Technology, Pzmny Pter Catholic University, Budapest, Hungary","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1124,"fairsharing_record_id":1894,"organisation_id":37,"relation":"funds","created_at":"2021-09-30T09:24:56.986Z","updated_at":"2021-09-30T09:29:41.595Z","grant_id":361,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","grant":"IAF311011","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1123,"fairsharing_record_id":1894,"organisation_id":2064,"relation":"funds","created_at":"2021-09-30T09:24:56.963Z","updated_at":"2021-09-30T09:29:45.704Z","grant_id":390,"is_lead":false,"saved_state":{"id":2064,"name":"National Research, Development and Innovation Office (NKFIH), Budapest, Hungary","grant":"TET 10-1-2011-0058","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7916,"fairsharing_record_id":1894,"organisation_id":37,"relation":"funds","created_at":"2021-09-30T09:29:41.734Z","updated_at":"2021-09-30T09:29:41.781Z","grant_id":362,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","grant":"IAF311010","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1895","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-08T11:04:04.216Z","metadata":{"doi":"10.25504/FAIRsharing.sed5tq","name":"BAliBASE","status":"deprecated","contacts":[{"contact_name":"Julie Thompson","contact_email":"julie@igbmc.u-strasbg.fr"}],"homepage":"http://www.lbgi.fr/balibase/","citations":[],"identifier":1895,"description":"BAliBASE; a benchmark alignment database, including enhancements for repeats, transmembrane sequences and circular permutations.","abbreviation":"BAliBASE","data_curation":{"type":"not found"},"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012946","name":"re3data:r3d100012946","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001940","name":"SciCrunch:RRID:SCR_001940","portal":"SciCrunch"}],"deprecation_date":"2024-07-08","deprecation_reason":"The different pages on the website are no longer available. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000360","bsg-d000360"],"name":"FAIRsharing record for: BAliBASE","abbreviation":"BAliBASE","url":"https://fairsharing.org/10.25504/FAIRsharing.sed5tq","doi":"10.25504/FAIRsharing.sed5tq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BAliBASE; a benchmark alignment database, including enhancements for repeats, transmembrane sequences and circular permutations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Deoxyribonucleic acid","Sequence alignment","Sequence","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":390,"pubmed_id":11125126,"title":"BAliBASE (Benchmark Alignment dataBASE): enhancements for repeats, transmembrane sequences and circular permutations.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.323","authors":"Bahr A., Thompson JD., Thierry JC., Poch O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.323","created_at":"2021-09-30T08:23:02.274Z","updated_at":"2021-09-30T08:23:02.274Z"},{"id":1293,"pubmed_id":16044462,"title":"BAliBASE 3.0: latest developments of the multiple sequence alignment benchmark.","year":2005,"url":"http://doi.org/10.1002/prot.20527","authors":"Thompson JD,Koehl P,Ripp R,Poch O","journal":"Proteins","doi":"10.1002/prot.20527","created_at":"2021-09-30T08:24:44.309Z","updated_at":"2021-09-30T08:24:44.309Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":385,"relation":"undefined"}],"grants":[{"id":1125,"fairsharing_record_id":1895,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:24:57.012Z","updated_at":"2021-09-30T09:24:57.012Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1128,"fairsharing_record_id":1895,"organisation_id":1708,"relation":"funds","created_at":"2021-09-30T09:24:57.160Z","updated_at":"2021-09-30T09:24:57.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1708,"name":"Les Hopitaux Universitaires de Strasbourg, Strasbourg, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1126,"fairsharing_record_id":1895,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:24:57.084Z","updated_at":"2021-09-30T09:24:57.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1127,"fairsharing_record_id":1895,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.122Z","updated_at":"2021-09-30T09:24:57.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1896","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:02:50.863Z","metadata":{"doi":"10.25504/FAIRsharing.wqyw8s","name":"Interrupted coding sequences","status":"deprecated","contacts":[{"contact_name":"Odile Lecompte","contact_email":"Odile.Lecompte@igbmc.fr"}],"homepage":"http://www-bio3d-igbmc.u-strasbg.fr/ICDS/","identifier":1896,"description":"ICDS database is a database containing ICDS detected by a similarity-based approach. The definition of each interrupted gene is provided as well as the ICDS genomic localisation with the surrounding sequence.","abbreviation":"ICDS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www-bio3d-igbmc.u-strasbg.fr/ICDS/help.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www-bio3d-igbmc.u-strasbg.fr/ICDS/","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000361","bsg-d000361"],"name":"FAIRsharing record for: Interrupted coding sequences","abbreviation":"ICDS","url":"https://fairsharing.org/10.25504/FAIRsharing.wqyw8s","doi":"10.25504/FAIRsharing.wqyw8s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ICDS database is a database containing ICDS detected by a similarity-based approach. The definition of each interrupted gene is provided as well as the ICDS genomic localisation with the surrounding sequence.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12646}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Gene"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":393,"pubmed_id":16381882,"title":"ICDS database: interrupted CoDing sequences in prokaryotic genomes.","year":2005,"url":"http://doi.org/10.1093/nar/gkj060","authors":"Perrodou E., Deshayes C., Muller J., Schaeffer C., Van Dorsselaer A., Ripp R., Poch O., Reyrat JM., Lecompte O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj060","created_at":"2021-09-30T08:23:02.679Z","updated_at":"2021-09-30T08:23:02.679Z"}],"licence_links":[],"grants":[{"id":1131,"fairsharing_record_id":1896,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:24:57.253Z","updated_at":"2021-09-30T09:24:57.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1129,"fairsharing_record_id":1896,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.199Z","updated_at":"2021-09-30T09:24:57.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1130,"fairsharing_record_id":1896,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:57.230Z","updated_at":"2021-09-30T09:24:57.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1132,"fairsharing_record_id":1896,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:24:57.278Z","updated_at":"2021-09-30T09:24:57.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1897","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:38.488Z","metadata":{"doi":"10.25504/FAIRsharing.8ggr5j","name":"PeroxisomeDB","status":"ready","contacts":[{"contact_email":"apujol@idibell.cat"}],"homepage":"http://www.peroxisomedb.org","citations":[],"identifier":1897,"description":"The aim of PEROXISOME database (PeroxisomeDB) is to gather, organise and integrate curated information on peroxisomal genes, their encoded proteins, their molecular function and metabolic pathway they belong to, and their related disorders.","abbreviation":"PeroxisomeDB","data_curation":{"url":"http://www.peroxisomedb.org/","type":"manual/automated","notes":"The aim of PEROXISOME database (PeroxisomeDB) is to gather, organise and integrate curated information on peroxisomal genes,"},"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000362","bsg-d000362"],"name":"FAIRsharing record for: PeroxisomeDB","abbreviation":"PeroxisomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.8ggr5j","doi":"10.25504/FAIRsharing.8ggr5j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of PEROXISOME database (PeroxisomeDB) is to gather, organise and integrate curated information on peroxisomal genes, their encoded proteins, their molecular function and metabolic pathway they belong to, and their related disorders.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Proteomics","Metabolomics"],"domains":["Molecular function","Protein","Pathway model","Gene"],"taxonomies":["Homo sapiens","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["France","Spain"],"publications":[{"id":391,"pubmed_id":19892824,"title":"PeroxisomeDB 2.0: an integrative view of the global peroxisomal metabolome.","year":2009,"url":"http://doi.org/10.1093/nar/gkp935","authors":"Schlüter A., Real-Chicharro A., Gabaldón T., Sánchez-Jiménez F., Pujol A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp935","created_at":"2021-09-30T08:23:02.417Z","updated_at":"2021-09-30T08:23:02.417Z"}],"licence_links":[{"licence_name":"PeroxisomeDB Attribution required","licence_id":658,"licence_url":"http://www.peroxisomedb.org/","link_id":2406,"relation":"undefined"}],"grants":[{"id":1135,"fairsharing_record_id":1897,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.355Z","updated_at":"2021-09-30T09:24:57.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1133,"fairsharing_record_id":1897,"organisation_id":2140,"relation":"maintains","created_at":"2021-09-30T09:24:57.304Z","updated_at":"2021-09-30T09:24:57.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":2140,"name":"Neurometabolic Disease Lab, Institut d'Investigacia Biomedica de Bellvitge, Barcelona, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1134,"fairsharing_record_id":1897,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:24:57.328Z","updated_at":"2021-09-30T09:24:57.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbXdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--dbd2a4cc26b3f94d77f536adfcafc106acf404e1/CELL-peroxisome-250.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1898","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-02T07:58:33.100Z","metadata":{"doi":"10.25504/FAIRsharing.8d3ka8","name":"ImMunoGeneTics Information System","status":"ready","contacts":[{"contact_name":"Marie-Paule Lefranc","contact_email":"Marie-Paule.Lefranc@igh.cnrs.fr"}],"homepage":"https://www.imgt.org/","citations":[],"identifier":1898,"description":"IMGT is a high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility complex (MHC) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), major histocompatibility complex superfamily (MhcSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates.","abbreviation":"IMGT","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.imgt.org/FAQ/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.imgt.org/download/LIGM-DB/userman_doc.html","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTScientificChart/","name":"IMGT Scientific chart","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTindex/","name":"IMGT Index","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTbloc-notes/","name":"IMGT Bloc-notes","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTposters/","name":"IMGT Posters and diaporama","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTmedical/","name":"IMGT Medical page","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTveterinary/","name":"IMGT Veterinary page","type":"Help documentation"},{"url":"http://www.imgt.org/about/immunoinformatics.php","name":"IMGT Immunoinformatics page","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTbiotechnology/","name":"IMGT Biotechnology page","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTrepertoire/","name":"IMGT Repertoire (IG and TR)","type":"Help documentation"},{"url":"http://www.imgt.org/rss/","name":"Latest news","type":"Blog/News"},{"url":"http://www.imgt.org/IMGTeducation/","name":"IMGT Education","type":"Training documentation"}],"year_creation":1989,"data_versioning":"no","associated_tools":[{"url":"http://www.imgt.org/HighV-QUEST/home.action","name":"IMGT/HighV-QUEST 1.6.5"},{"url":"http://www.imgt.org/StatClonotype/","name":"IMGT/StatClonotype 1.0.3"},{"url":"http://www.imgt.org/IMGT_vquest/vquest","name":"IMGT/V-QUEST 3.4.17"},{"url":"http://www.imgt.org/IMGT_jcta/jcta?livret=0","name":"IMGT/JunctionAnalysis 2.1.9"},{"url":"http://www.imgt.org/Allele-Align/","name":"IMGT/Allele-Align"},{"url":"http://www.imgt.org/genefrequency/query","name":"IMGT/GeneFrequency 2.0.0"},{"url":"http://www.imgt.org/3Dstructure-DB/cgi/DomainGapAlign.cgi","name":"IMGT/DomainGapAlign 4.9.2"},{"url":"http://www.imgt.org/3Dstructure-DB/cgi/Collier-de-Perles.cgi","name":"IMGT/Collier-de-Perles 2.0.0"},{"url":"http://www.imgt.org/3Dstructure-DB/cgi/DomainSuperimpose.cgi","name":"IMGT/DomainSuperimpose"},{"url":"http://www.imgt.org/3Dstructure-DB/","name":"IMGT/StructuralQuery 4.12.2"}],"data_access_condition":{"url":"https://www.imgt.org/#termsofuse","type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000363","bsg-d000363"],"name":"FAIRsharing record for: ImMunoGeneTics Information System","abbreviation":"IMGT","url":"https://fairsharing.org/10.25504/FAIRsharing.8d3ka8","doi":"10.25504/FAIRsharing.8d3ka8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IMGT is a high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility complex (MHC) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), major histocompatibility complex superfamily (MhcSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11347},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12165}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunogenetics","Genetics","Immunology","Life Science"],"domains":["Nucleic acid sequence","Antigen","Immunoglobulin complex","Antibody","Chromosomal region","Small molecule","Receptor","Major histocompatibility complex","Protein","Allele","Genome","Immune system"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":386,"pubmed_id":18978023,"title":"IMGT, the international ImMunoGeneTics information system.","year":2008,"url":"http://doi.org/10.1093/nar/gkn838","authors":"Lefranc MP., Giudicelli V., Ginestoux C., Jabado-Michaloud J., Folch G., Bellahcene F., Wu Y., Gemrot E., Brochet X., Lane J., Regnier L., Ehrenmann F., Lefranc G., Duroux P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn838","created_at":"2021-09-30T08:23:01.849Z","updated_at":"2021-09-30T08:23:01.849Z"},{"id":2419,"pubmed_id":10592230,"title":"IMGT, the international ImMunoGeneTics database.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.219","authors":"Ruiz M,Giudicelli V,Ginestoux C,Stoehr P,Robinson J,Bodmer J,Marsh SG,Bontrop R,Lemaitre M,Lefranc G,Chaume D,Lefranc MP","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.219","created_at":"2021-09-30T08:26:56.848Z","updated_at":"2021-09-30T11:29:35.537Z"},{"id":2420,"pubmed_id":11125093,"title":"IMGT, the international ImMunoGeneTics database.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.207","authors":"Lefranc MP","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.207","created_at":"2021-09-30T08:26:56.957Z","updated_at":"2021-09-30T11:29:35.629Z"},{"id":2455,"pubmed_id":25378316,"title":"IMGT(R), the international ImMunoGeneTics information system(R) 25 years on.","year":2014,"url":"http://doi.org/10.1093/nar/gku1056","authors":"Lefranc MP,Giudicelli V,Duroux P,Jabado-Michaloud J,Folch G,Aouinti S,Carillon E,Duvergey H,Houles A,Paysan-Lafosse T,Hadi-Saljoqi S,Sasorith S,Lefranc G,Kossida S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1056","created_at":"2021-09-30T08:27:01.126Z","updated_at":"2021-09-30T11:29:36.287Z"},{"id":2456,"pubmed_id":9399859,"title":"IMGT, the International ImMunoGeneTics database.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.297","authors":"Lefranc MP,Giudicelli V,Busin C,Bodmer J,Muller W,Bontrop R,Lemaitre M,Malik A,Chaume D","journal":"Nucleic Acids Research","doi":"10.1093/nar/26.1.297","created_at":"2021-09-30T08:27:01.241Z","updated_at":"2021-09-30T11:29:36.436Z"},{"id":2457,"pubmed_id":15608269,"title":"IMGT, the international ImMunoGeneTics information system.","year":2004,"url":"http://doi.org/10.1093/nar/gki065","authors":"Lefranc MP,Giudicelli V,Kaas Q,Duprat E,Jabado-Michaloud J,Scaviner D,Ginestoux C,Clement O,Chaume D,Lefranc G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki065","created_at":"2021-09-30T08:27:01.400Z","updated_at":"2021-09-30T11:29:36.536Z"}],"licence_links":[{"licence_name":"IMGT Academic use","licence_id":430,"licence_url":"http://www.imgt.org/about/termsofuse.php","link_id":337,"relation":"undefined"},{"licence_name":"IMGT Terms of Use","licence_id":431,"licence_url":"http://imgt.org/about/termsofuse.php","link_id":338,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":335,"relation":"undefined"}],"grants":[{"id":1145,"fairsharing_record_id":1898,"organisation_id":893,"relation":"funds","created_at":"2021-09-30T09:24:57.660Z","updated_at":"2021-09-30T09:29:12.960Z","grant_id":142,"is_lead":false,"saved_state":{"id":893,"name":"EU ImmunoGrid","grant":"IST-028069","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1137,"fairsharing_record_id":1898,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:57.405Z","updated_at":"2021-09-30T09:30:53.807Z","grant_id":923,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"BIOSYS06_135457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1142,"fairsharing_record_id":1898,"organisation_id":262,"relation":"funds","created_at":"2021-09-30T09:24:57.552Z","updated_at":"2021-09-30T09:32:19.669Z","grant_id":1568,"is_lead":false,"saved_state":{"id":262,"name":"BIOMED1 European Union","grant":"BIOCT930038","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1143,"fairsharing_record_id":1898,"organisation_id":885,"relation":"funds","created_at":"2021-09-30T09:24:57.590Z","updated_at":"2021-09-30T09:31:54.679Z","grant_id":1382,"is_lead":false,"saved_state":{"id":885,"name":"EU BIOTECH","grant":"BIO4CT96-0037","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1136,"fairsharing_record_id":1898,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:57.379Z","updated_at":"2021-09-30T09:24:57.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1139,"fairsharing_record_id":1898,"organisation_id":3101,"relation":"funds","created_at":"2021-09-30T09:24:57.455Z","updated_at":"2021-09-30T09:24:57.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1144,"fairsharing_record_id":1898,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.623Z","updated_at":"2021-09-30T09:24:57.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":8150,"fairsharing_record_id":1898,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:31:12.364Z","updated_at":"2021-09-30T09:31:12.409Z","grant_id":1063,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-10-LABX-53–01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8875,"fairsharing_record_id":1898,"organisation_id":915,"relation":"funds","created_at":"2022-02-10T17:42:38.107Z","updated_at":"2022-02-10T17:42:38.107Z","grant_id":1829,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"Q L G2-2000-01287","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1138,"fairsharing_record_id":1898,"organisation_id":1059,"relation":"funds","created_at":"2021-09-30T09:24:57.428Z","updated_at":"2021-09-30T09:24:57.428Z","grant_id":null,"is_lead":false,"saved_state":{"id":1059,"name":"French Ministry of Education, Research and Innovation, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1140,"fairsharing_record_id":1898,"organisation_id":1495,"relation":"maintains","created_at":"2021-09-30T09:24:57.478Z","updated_at":"2021-09-30T09:24:57.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":1495,"name":"International ImMunoGeneTics information system (IMGT), Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1899","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:56.131Z","metadata":{"doi":"10.25504/FAIRsharing.7mnebr","name":"Annotated regulatory Binding Sites from Orthologous Promoters","status":"ready","contacts":[{"contact_name":"Enrique Blanco","contact_email":"enrique.blanco@crg.eu","contact_orcid":"0000-0001-6261-7370"},{"contact_name":"Emilio Palumbo","contact_email":"emilio.palumbo@crg.eu","contact_orcid":null},{"contact_name":"Roderic Guigo Serra","contact_email":"roderic.guigo@crg.eu","contact_orcid":null}],"homepage":"https://genome.crg.es/datasets/abs2005/","citations":[],"identifier":1899,"description":"ABS is a database of Annotated regulatory Binding Sites from known binding sites identified in promoters of orthologous vertebrate genes.","abbreviation":"ABS","data_curation":{"url":"https://genome.crg.es/datasets/abs2005/docs.html","type":"manual/automated"},"support_links":[{"url":"http://genome.crg.es/datasets/abs2005/docs.html","type":"Help documentation"},{"url":"http://genome.crg.es/datasets/abs2005/tour.html","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://genome.crg.es/datasets/abs2005/constructor.html","name":"analyze"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000364","bsg-d000364"],"name":"FAIRsharing record for: Annotated regulatory Binding Sites from Orthologous Promoters","abbreviation":"ABS","url":"https://fairsharing.org/10.25504/FAIRsharing.7mnebr","doi":"10.25504/FAIRsharing.7mnebr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ABS is a database of Annotated regulatory Binding Sites from known binding sites identified in promoters of orthologous vertebrate genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Regulation of gene expression","Biological regulation","Molecular interaction","Promoter","Binding site","Gene"],"taxonomies":["Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":381,"pubmed_id":16381947,"title":"ABS: a database of Annotated regulatory Binding Sites from orthologous promoters.","year":2005,"url":"http://doi.org/10.1093/nar/gkj116","authors":"Blanco E., Farré D., Albà MM., Messeguer X., Guigó R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj116","created_at":"2021-09-30T08:23:01.309Z","updated_at":"2021-09-30T08:23:01.309Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":405,"relation":"undefined"}],"grants":[{"id":9035,"fairsharing_record_id":1899,"organisation_id":1852,"relation":"funds","created_at":"2022-03-28T09:40:48.991Z","updated_at":"2022-03-28T09:40:48.991Z","grant_id":426,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2002-04426-C02-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1147,"fairsharing_record_id":1899,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.730Z","updated_at":"2021-09-30T09:24:57.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1148,"fairsharing_record_id":1899,"organisation_id":2497,"relation":"maintains","created_at":"2021-09-30T09:24:57.770Z","updated_at":"2021-09-30T09:24:57.770Z","grant_id":null,"is_lead":false,"saved_state":{"id":2497,"name":"SBI","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9034,"fairsharing_record_id":1899,"organisation_id":1852,"relation":"funds","created_at":"2022-03-28T09:40:48.978Z","updated_at":"2022-03-28T09:40:48.978Z","grant_id":404,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2000-1358-C02-02","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1900","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:30.272Z","metadata":{"doi":"10.25504/FAIRsharing.tp9z4q","name":"ArchDB","status":"ready","contacts":[{"contact_name":"Narcis Fernandez-Fuentes","contact_email":"narcis.fernandez@gmail.com","contact_orcid":"0000-0002-6421-1080"}],"homepage":"http://sbi.imim.es/archdb","identifier":1900,"description":"ArchDB is a compilation of structural classifications of loops extracted from known protein structures. The structural classification is based on the geometry and conformation of the loop. The geometry is defined by four internal variables and the type of regular flanking secondary structures, resulting in 10 different loop types. Loops in ArchDB have been classified using an improved version (Espadaler et al.) of the original ArchType program published in 1997 by Oliva et al.","abbreviation":"ArchDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://sbi.imim.es/archdb/faq/Q1","type":"Frequently Asked Questions (FAQs)"},{"url":"http://sbi.imim.es/cgi-bin/archdb//loops.pl?help=1","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://sbi.imim.es/archdb/search/","name":"search"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000365","bsg-d000365"],"name":"FAIRsharing record for: ArchDB","abbreviation":"ArchDB","url":"https://fairsharing.org/10.25504/FAIRsharing.tp9z4q","doi":"10.25504/FAIRsharing.tp9z4q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ArchDB is a compilation of structural classifications of loops extracted from known protein structures. The structural classification is based on the geometry and conformation of the loop. The geometry is defined by four internal variables and the type of regular flanking secondary structures, resulting in 10 different loop types. Loops in ArchDB have been classified using an improved version (Espadaler et al.) of the original ArchType program published in 1997 by Oliva et al.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Secondary protein structure","Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":404,"pubmed_id":14681390,"title":"ArchDB: automated protein loop classification as a tool for structural genomics.","year":2003,"url":"http://doi.org/10.1093/nar/gkh002","authors":"Espadaler J., Fernandez-Fuentes N., Hermoso A., Querol E., Aviles FX., Sternberg MJ., Oliva B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh002","created_at":"2021-09-30T08:23:03.899Z","updated_at":"2021-09-30T08:23:03.899Z"},{"id":1163,"pubmed_id":24265221,"title":"ArchDB 2014: structural classification of loops in proteins.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1189","authors":"Bonet J,Planas-Iglesias J,Garcia-Garcia J,Marin-Lopez MA,Fernandez-Fuentes N,Oliva B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1189","created_at":"2021-09-30T08:24:29.313Z","updated_at":"2021-09-30T11:29:01.502Z"}],"licence_links":[],"grants":[{"id":1150,"fairsharing_record_id":1900,"organisation_id":15,"relation":"funds","created_at":"2021-09-30T09:24:57.820Z","updated_at":"2021-09-30T09:24:57.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":15,"name":"Aberystwyth University, Wales, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1153,"fairsharing_record_id":1900,"organisation_id":2497,"relation":"maintains","created_at":"2021-09-30T09:24:57.917Z","updated_at":"2021-09-30T09:24:57.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":2497,"name":"SBI","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1151,"fairsharing_record_id":1900,"organisation_id":253,"relation":"maintains","created_at":"2021-09-30T09:24:57.852Z","updated_at":"2021-09-30T09:24:57.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":253,"name":"bioinsilico.org","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1152,"fairsharing_record_id":1900,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.881Z","updated_at":"2021-09-30T09:24:57.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":9211,"fairsharing_record_id":1900,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.566Z","updated_at":"2022-04-11T12:07:22.587Z","grant_id":537,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"EUI2009-04018","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9212,"fairsharing_record_id":1900,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.673Z","updated_at":"2022-04-11T12:07:22.689Z","grant_id":914,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"FEDER BIO2011-22568","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9215,"fairsharing_record_id":1900,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.890Z","updated_at":"2022-04-11T12:07:22.906Z","grant_id":50,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"FEDER BIO2008-0205","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1901","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:15:09.118Z","metadata":{"doi":"10.25504/FAIRsharing.q2ntvx","name":"KinMutBase","status":"deprecated","contacts":[{"contact_name":"Jouni Valiaho","contact_email":"Jouni.Valiaho@uta.fi"}],"homepage":"http://structure.bmc.lu.se/idbase/KinMutBase/","identifier":1901,"description":"KinMutBase is a comprehensive database of disease-causing mutations in protein kinase domains. This resources provides plenty of information, namely mutation statistics and display, clickable sequences with mutations and changes to restriction enzyme patterns.","abbreviation":"KinMutBase","data_curation":{"type":"not found"},"year_creation":1998,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource has not been updated since 2015 and, while a flat file is available for download, this record has been deprecated due to lack of activity. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000366","bsg-d000366"],"name":"FAIRsharing record for: KinMutBase","abbreviation":"KinMutBase","url":"https://fairsharing.org/10.25504/FAIRsharing.q2ntvx","doi":"10.25504/FAIRsharing.q2ntvx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KinMutBase is a comprehensive database of disease-causing mutations in protein kinase domains. This resources provides plenty of information, namely mutation statistics and display, clickable sequences with mutations and changes to restriction enzyme patterns.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12647}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Protein structure","Mutation","Genetic polymorphism","Enzyme","Disease","Protein","Amino acid sequence","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":166,"pubmed_id":15832311,"title":"KinMutBase: a registry of disease-causing mutations in protein kinase domains.","year":2005,"url":"http://doi.org/10.1002/humu.20166","authors":"Ortutay C,Valiaho J,Stenberg K,Vihinen M","journal":"Hum Mutat","doi":"10.1002/humu.20166","created_at":"2021-09-30T08:22:38.263Z","updated_at":"2021-09-30T08:22:38.263Z"},{"id":218,"pubmed_id":10592276,"title":"KinMutBase, a database of human disease-causing protein kinase mutations.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.369","authors":"Stenberg KA,Riikonen PT,Vihinen M","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.369","created_at":"2021-09-30T08:22:43.637Z","updated_at":"2021-09-30T11:28:44.033Z"}],"licence_links":[],"grants":[{"id":1155,"fairsharing_record_id":1901,"organisation_id":17,"relation":"funds","created_at":"2021-09-30T09:24:57.981Z","updated_at":"2021-09-30T09:24:57.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":17,"name":"Academy of Finland, Helsinki, Finland","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9033,"fairsharing_record_id":1901,"organisation_id":2703,"relation":"maintains","created_at":"2022-03-28T09:34:28.090Z","updated_at":"2022-03-28T09:34:28.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":2703,"name":"Tampere University, Finland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1902","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:14.535Z","metadata":{"doi":"10.25504/FAIRsharing.wyz5he","name":"Conformation Angles Database","status":"deprecated","contacts":[{"contact_name":"K Sekar","contact_email":"sekar@physics.iisc.ernet.in"}],"homepage":"http://cluster.physics.iisc.ernet.in/cadb/","citations":[],"identifier":1902,"description":"Conformation Angles DataBase [ CADB-3.0 ] is a comprehensive, authoritative and timely knowledge base developed to facilitate retrieval of information related to the conformational angles (main-chain and side-chain) of the amino acid residues present in the non-redundant (both 25% and 90%) data set.","abbreviation":"CADB","data_curation":{"type":"none"},"year_creation":2002,"data_versioning":"not found","deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000367","bsg-d000367"],"name":"FAIRsharing record for: Conformation Angles Database","abbreviation":"CADB","url":"https://fairsharing.org/10.25504/FAIRsharing.wyz5he","doi":"10.25504/FAIRsharing.wyz5he","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Conformation Angles DataBase [ CADB-3.0 ] is a comprehensive, authoritative and timely knowledge base developed to facilitate retrieval of information related to the conformational angles (main-chain and side-chain) of the amino acid residues present in the non-redundant (both 25% and 90%) data set.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":401,"pubmed_id":12520049,"title":"CADB: Conformation Angles DataBase of proteins.","year":2003,"url":"http://doi.org/10.1093/nar/gkg084","authors":"Sheik SS., Ananthalakshmi P., Bhargavi GR., Sekar K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg084","created_at":"2021-09-30T08:23:03.592Z","updated_at":"2021-09-30T08:23:03.592Z"},{"id":1423,"pubmed_id":15858276,"title":"CADB-2.0: Conformation Angles Database.","year":2005,"url":"http://doi.org/10.1107/S0907444905005871","authors":"Samaya Mohan K,Sheik SS,Ramesh J,Balamurugan B,Jeyasimhan M,Mayilarasi C,Sekar K","journal":"Acta Crystallogr D Biol Crystallogr","doi":"10.1107/S0907444905005871","created_at":"2021-09-30T08:24:59.067Z","updated_at":"2021-09-30T08:24:59.067Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":394,"relation":"undefined"}],"grants":[{"id":1157,"fairsharing_record_id":1902,"organisation_id":1333,"relation":"maintains","created_at":"2021-09-30T09:24:58.044Z","updated_at":"2021-09-30T09:24:58.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":1333,"name":"Indian Institute of Science, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1903","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:13.441Z","metadata":{"doi":"10.25504/FAIRsharing.1nwy41","name":"Transmembrane Helices in Genome Sequences","status":"deprecated","contacts":[{"contact_name":"Professor K Sekar","contact_email":"sekar@physics.iisc.ernet.in"}],"homepage":"http://pranag.physics.iisc.ernet.in/thgs/","identifier":1903,"description":"A web based database of Transmembrane Helices in Genome Sequences.","abbreviation":"THGS","data_curation":{"type":"not found"},"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000368","bsg-d000368"],"name":"FAIRsharing record for: Transmembrane Helices in Genome Sequences","abbreviation":"THGS","url":"https://fairsharing.org/10.25504/FAIRsharing.1nwy41","doi":"10.25504/FAIRsharing.1nwy41","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A web based database of Transmembrane Helices in Genome Sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1430,"pubmed_id":14681375,"title":"THGS: a web-based database of Transmembrane Helices in Genome Sequences.","year":2003,"url":"http://doi.org/10.1093/nar/gkh130","authors":"Fernando SA,Selvarani P,Das S,Kumar ChK,Mondal S,Ramakumar S,Sekar K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh130","created_at":"2021-09-30T08:24:59.917Z","updated_at":"2021-09-30T11:29:08.334Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":395,"relation":"undefined"}],"grants":[{"id":1158,"fairsharing_record_id":1903,"organisation_id":1333,"relation":"maintains","created_at":"2021-09-30T09:24:58.083Z","updated_at":"2021-09-30T09:24:58.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":1333,"name":"Indian Institute of Science, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1891","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:12.862Z","metadata":{"doi":"10.25504/FAIRsharing.cwx04e","name":"SABIO-RK Biochemical Reaction Kinetics Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"sabiork@h-its.org"}],"homepage":"http://sabiork.h-its.org/","citations":[],"identifier":1891,"description":"SABIO-RK is a database for biochemical reactions, their kinetic equations with their parameters, and the experimental conditions under which these parameters were measured.","abbreviation":"SABIO-RK","data_curation":{"url":"http://sabiork.h-its.org/layouts/content/about.gsp","type":"manual"},"support_links":[{"url":"http://sabiork.h-its.org/contactFormSabio","name":"Contact Form","type":"Contact form"},{"url":"http://sabiork.h-its.org/layouts/content/documentation.gsp","name":"Help Pages","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011052","name":"re3data:r3d100011052","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002122","name":"SciCrunch:RRID:SCR_002122","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://sabiork.h-its.org/layouts/content/documentation.gsp","type":"open","notes":"account required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000356","bsg-d000356"],"name":"FAIRsharing record for: SABIO-RK Biochemical Reaction Kinetics Database","abbreviation":"SABIO-RK","url":"https://fairsharing.org/10.25504/FAIRsharing.cwx04e","doi":"10.25504/FAIRsharing.cwx04e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SABIO-RK is a database for biochemical reactions, their kinetic equations with their parameters, and the experimental conditions under which these parameters were measured.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11772}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biochemistry","Life Science"],"domains":["Reaction data","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":384,"pubmed_id":22102587,"title":"SABIO-RK--database for biochemical reaction kinetics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1046","authors":"Wittig U., Kania R., Golebiewski M., Rey M., Shi L., Jong L., Algaa E., Weidemann A., Sauer-Danzwith H., Mir S., Krebs O., Bittkowski M., Wetsch E., Rojas I., Müller W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1046","created_at":"2021-09-30T08:23:01.591Z","updated_at":"2021-09-30T08:23:01.591Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":363,"relation":"applies_to_content"},{"licence_name":"Sabio-RK Non-Commercial Purpose License","licence_id":722,"licence_url":"http://sabiork.h-its.org/layouts/content/termscondition.gsp","link_id":379,"relation":"applies_to_content"}],"grants":[{"id":1108,"fairsharing_record_id":1891,"organisation_id":992,"relation":"maintains","created_at":"2021-09-30T09:24:56.526Z","updated_at":"2021-09-30T09:24:56.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":992,"name":"FAIRDOM","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1110,"fairsharing_record_id":1891,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:24:56.609Z","updated_at":"2021-09-30T09:24:56.609Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1107,"fairsharing_record_id":1891,"organisation_id":1231,"relation":"maintains","created_at":"2021-09-30T09:24:56.489Z","updated_at":"2021-09-30T09:24:56.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":1231,"name":"Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1109,"fairsharing_record_id":1891,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:56.568Z","updated_at":"2021-09-30T09:24:56.568Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1111,"fairsharing_record_id":1891,"organisation_id":1641,"relation":"funds","created_at":"2021-09-30T09:24:56.647Z","updated_at":"2021-09-30T09:24:56.647Z","grant_id":null,"is_lead":false,"saved_state":{"id":1641,"name":"Klaus Tschira Foundation, Heidelberg, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9356,"fairsharing_record_id":1891,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.747Z","updated_at":"2022-04-11T12:07:32.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZnM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8159ba57c6c2396faafc24f4178e8fa705934c86/sa.png?disposition=inline","exhaustive_licences":false}},{"id":"1893","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:14.552Z","metadata":{"doi":"10.25504/FAIRsharing.91yrz6","name":"Extracellular Matrix Interaction Database","status":"ready","contacts":[{"contact_name":"Sylvie Ricard-Blum","contact_email":"sylvie.ricard-blum@univ-lyon1.fr"}],"homepage":"http://matrixdb.univ-lyon1.fr","citations":[{"doi":"10.1093/nar/gky1035","pubmed_id":30371822,"publication_id":1662}],"identifier":1893,"description":"MatrixDB stores experimental data established by full-length proteins, matricryptins, glycosaminoglycans, lipids and cations. MatrixDB reports interactions with individual polypeptide chains or with multimers (e.g. collagens, laminins, thrombospondins) when appropriate. Multimers are treated as permanent complexes, referencing EBI identifiers when possible. Human interactions were inferred from non-human homologous interactions when available.","abbreviation":"MatrixDB","data_curation":{"url":"http://www.ebi.ac.uk/Tools/webservices/psicquic/view/help.xhtml;jsessionid=14DEC322F11677E267213783BC2A23D1","type":"automated"},"support_links":[{"url":"http://matrixdb.univ-lyon1.fr/data/Tutorial_MatrixDB_v3.pdf","name":"Tutorial","type":"Help documentation"},{"url":"https://www.youtube.com/watch?list=PLw61Ua8TujDRLFSZMZChqmqX7yFBYLaz0\u0026v=BCHp12lefK4","name":"Help Video","type":"Video"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010672","name":"re3data:r3d100010672","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001727","name":"SciCrunch:RRID:SCR_001727","portal":"SciCrunch"}],"data_access_condition":{"url":"http://matrixdb.univ-lyon1.fr/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/submission/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000358","bsg-d000358"],"name":"FAIRsharing record for: Extracellular Matrix Interaction Database","abbreviation":"MatrixDB","url":"https://fairsharing.org/10.25504/FAIRsharing.91yrz6","doi":"10.25504/FAIRsharing.91yrz6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MatrixDB stores experimental data established by full-length proteins, matricryptins, glycosaminoglycans, lipids and cations. MatrixDB reports interactions with individual polypeptide chains or with multimers (e.g. collagens, laminins, thrombospondins) when appropriate. Multimers are treated as permanent complexes, referencing EBI identifiers when possible. Human interactions were inferred from non-human homologous interactions when available.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11213}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Protein interaction","Carbohydrate","Lipid","Molecular interaction","Small molecule","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Extracellular matrix proteins"],"countries":["France"],"publications":[{"id":385,"pubmed_id":19147664,"title":"MatrixDB, a database focused on extracellular protein-protein and protein-carbohydrate interactions.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp025","authors":"Chautard E., Ballut L., Thierry-Mieg N., Ricard-Blum S.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp025","created_at":"2021-09-30T08:23:01.750Z","updated_at":"2021-09-30T08:23:01.750Z"},{"id":1267,"pubmed_id":25378329,"title":"MatrixDB, the extracellular matrix interaction database: updated content, a new navigator and expanded functionalities.","year":2014,"url":"http://doi.org/10.1093/nar/gku1091","authors":"Launay G,Salza R,Multedo D,Thierry-Mieg N,Ricard-Blum S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1091","created_at":"2021-09-30T08:24:41.381Z","updated_at":"2021-09-30T11:29:04.635Z"},{"id":1661,"pubmed_id":20852260,"title":"MatrixDB, the extracellular matrix interaction database.","year":2010,"url":"http://doi.org/10.1093/nar/gkq830","authors":"Chautard E,Fatoux-Ardore M,Ballut L,Thierry-Mieg N,Ricard-Blum S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq830","created_at":"2021-09-30T08:25:26.059Z","updated_at":"2021-09-30T11:29:18.111Z"},{"id":1662,"pubmed_id":30371822,"title":"MatrixDB: integration of new data with a focus on glycosaminoglycan interactions.","year":2018,"url":"http://doi.org/10.1093/nar/gky1035","authors":"Clerc O,Deniaud M,Vallet SD,Naba A,Rivet A,Perez S,Thierry-Mieg N,Ricard-Blum S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1035","created_at":"2021-09-30T08:25:26.158Z","updated_at":"2021-09-30T11:29:18.211Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2374,"relation":"undefined"}],"grants":[{"id":1118,"fairsharing_record_id":1893,"organisation_id":1368,"relation":"maintains","created_at":"2021-09-30T09:24:56.836Z","updated_at":"2021-09-30T09:24:56.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":1368,"name":"Institut de Chimie et Biochimie Moleculaires et Supramoleculaires (ICBMS), Lyon, France","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1120,"fairsharing_record_id":1893,"organisation_id":1026,"relation":"funds","created_at":"2021-09-30T09:24:56.886Z","updated_at":"2021-09-30T09:29:43.071Z","grant_id":373,"is_lead":false,"saved_state":{"id":1026,"name":"Fondation pour la Recherche Medicale","grant":"DBI20141231336","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1119,"fairsharing_record_id":1893,"organisation_id":1441,"relation":"funds","created_at":"2021-09-30T09:24:56.862Z","updated_at":"2021-09-30T09:24:56.862Z","grant_id":null,"is_lead":false,"saved_state":{"id":1441,"name":"Institut Francais de Bioinformatique (IFB, French Institute of Bioinformatics), France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1887","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:24.791Z","metadata":{"doi":"10.25504/FAIRsharing.y1zyaq","name":"Small Molecule Pathway Database","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca"}],"homepage":"http://www.smpdb.ca/","identifier":1887,"description":"The Small Molecule Pathway Database (SMPDB) contains small molecule pathways found in humans, which are presented visually. All SMPDB pathways include information on the relevant organs, subcellular compartments, protein cofactors, protein locations, metabolite locations, chemical structures and protein quaternary structures. Accompanying data includes detailed descriptions and references, providing an overview of the pathway, condition or processes depicted in each diagram.","abbreviation":"SMPDB","data_curation":{"type":"none"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=small%20molecule%20pathway%20database","type":"Contact form"},{"url":"http://smpdb.ca/legend","type":"Help documentation"},{"url":"https://twitter.com/WishartLab","name":"@WishartLab","type":"Twitter"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://smpdb.ca/search/sequence","name":"Blast"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012753","name":"re3data:r3d100012753","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004844","name":"SciCrunch:RRID:SCR_004844","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000352","bsg-d000352"],"name":"FAIRsharing record for: Small Molecule Pathway Database","abbreviation":"SMPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.y1zyaq","doi":"10.25504/FAIRsharing.y1zyaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Small Molecule Pathway Database (SMPDB) contains small molecule pathways found in humans, which are presented visually. All SMPDB pathways include information on the relevant organs, subcellular compartments, protein cofactors, protein locations, metabolite locations, chemical structures and protein quaternary structures. Accompanying data includes detailed descriptions and references, providing an overview of the pathway, condition or processes depicted in each diagram.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11771},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12644}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Protein structure","Chemical structure","Chemical entity","Metabolite","Small molecule","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":374,"pubmed_id":19948758,"title":"SMPDB: The Small Molecule Pathway Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1002","authors":"Frolkis A., Knox C., Lim E., Jewison T., Law V., Hau DD., Liu P., Gautam B., Ly S., Guo AC., Xia J., Liang Y., Shrivastava S., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"doi:10.1093/nar/gkp1002","created_at":"2021-09-30T08:23:00.202Z","updated_at":"2021-09-30T08:23:00.202Z"},{"id":2208,"pubmed_id":24203708,"title":"SMPDB 2.0: big improvements to the Small Molecule Pathway Database.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1067","authors":"Jewison T,Su Y,Disfany FM,Liang Y,Knox C,Maciejewski A,Poelzer J,Huynh J,Zhou Y,Arndt D,Djoumbou Y,Liu Y,Deng L,Guo AC,Han B,Pon A,Wilson M,Rafatnia S,Liu P,Wishart DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1067","created_at":"2021-09-30T08:26:28.854Z","updated_at":"2021-09-30T11:29:30.986Z"}],"licence_links":[],"grants":[{"id":1096,"fairsharing_record_id":1887,"organisation_id":1107,"relation":"maintains","created_at":"2021-09-30T09:24:56.096Z","updated_at":"2021-09-30T09:24:56.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":1107,"name":"Genome Alberta, Alberta, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1095,"fairsharing_record_id":1887,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:56.064Z","updated_at":"2021-09-30T09:24:56.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1888","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:44:19.053Z","metadata":{"doi":"10.25504/FAIRsharing.k5k0yh","name":"GlycomeDB","status":"deprecated","contacts":[{"contact_name":"René Ranzinger","contact_email":"rene.ranzinger@glycome-db.org"}],"homepage":"http://www.glycome-db.org/showMenu.action?major=database","identifier":1888,"description":"GlycomeDB is the result of a systematic data integration effort, and provides an overview of all carbohydrate structures available in public databases, as well as cross-links.","abbreviation":"GlycomeDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.glycome-db.org/Contact.action","type":"Contact form"},{"url":"http://www.glycome-db.org/help/GlycomeDBManual.pdf","type":"Help documentation"},{"url":"http://www.glycome-db.org/showMenu.action?major=documentation","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://www.glycome-db.org/showMenu.action?major=database","name":"search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011527","name":"re3data:r3d100011527","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005717","name":"SciCrunch:RRID:SCR_005717","portal":"SciCrunch"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and the data has been incorporated into GlyTouCan","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000353","bsg-d000353"],"name":"FAIRsharing record for: GlycomeDB","abbreviation":"GlycomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.k5k0yh","doi":"10.25504/FAIRsharing.k5k0yh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycomeDB is the result of a systematic data integration effort, and provides an overview of all carbohydrate structures available in public databases, as well as cross-links.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Carbohydrate","Molecular entity","Small molecule","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":380,"pubmed_id":19759275,"title":"Glycome-DB.org: a portal for querying across the digital world of carbohydrate sequences.","year":2009,"url":"http://doi.org/10.1093/glycob/cwp137","authors":"Ranzinger R., Frank M., von der Lieth CW., Herget S.,","journal":"Glycobiology","doi":"10.1093/glycob/cwp137","created_at":"2021-09-30T08:23:01.207Z","updated_at":"2021-09-30T08:23:01.207Z"},{"id":1067,"pubmed_id":21045056,"title":"GlycomeDB--a unified database for carbohydrate structures.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1014","authors":"Ranzinger R,Herget S,von der Lieth CW,Frank M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1014","created_at":"2021-09-30T08:24:18.172Z","updated_at":"2021-09-30T11:28:57.792Z"},{"id":1607,"pubmed_id":18803830,"title":"GlycomeDB - integration of open-access carbohydrate structure databases.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-384","authors":"Ranzinger R,Herget S,Wetter T,von der Lieth CW","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-384","created_at":"2021-09-30T08:25:20.154Z","updated_at":"2021-09-30T08:25:20.154Z"}],"licence_links":[],"grants":[{"id":1099,"fairsharing_record_id":1888,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:24:56.214Z","updated_at":"2021-09-30T09:24:56.214Z","grant_id":null,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1097,"fairsharing_record_id":1888,"organisation_id":756,"relation":"maintains","created_at":"2021-09-30T09:24:56.133Z","updated_at":"2021-09-30T09:24:56.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":756,"name":"Deutsches Krebsforschungszentrum","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1098,"fairsharing_record_id":1888,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:56.176Z","updated_at":"2021-09-30T09:24:56.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1889","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:57:10.404Z","metadata":{"doi":"10.25504/FAIRsharing.aftff2","name":"The Gene Index Project","status":"deprecated","contacts":[{"contact_name":"John Quackenbush","contact_email":"johnq@jimmy.harvard.edu","contact_orcid":"0000-0002-2702-5879"}],"homepage":"http://compbio.dfci.harvard.edu/tgi/","identifier":1889,"description":"The goal of The Gene Index Project is to use the available EST and gene sequences, along with the reference genomes wherever available, to provide an inventory of likely genes and their variants and to annotate these with information regarding the functional roles played by these genes and their products.","abbreviation":"TIGR_TGI","data_curation":{"type":"not found"},"support_links":[{"url":"http://compbio.dfci.harvard.edu/cgi-bin/tgi/contact_us_zn.pl?refer_text=DFCI%20-%20Gene%20Indices%20-%20EGO","type":"Contact form"},{"url":"http://compbio.dfci.harvard.edu/tgi/gifaq.html","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","associated_tools":[{"url":"http://compbio.dfci.harvard.edu/tgi/ncbi/blast/blast.html","name":"BLAST"}],"deprecation_date":"2016-12-23","deprecation_reason":"As of July 2014 the resource is no longer being maintained as funding ended in 2010.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000354","bsg-d000354"],"name":"FAIRsharing record for: The Gene Index Project","abbreviation":"TIGR_TGI","url":"https://fairsharing.org/10.25504/FAIRsharing.aftff2","doi":"10.25504/FAIRsharing.aftff2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of The Gene Index Project is to use the available EST and gene sequences, along with the reference genomes wherever available, to provide an inventory of likely genes and their variants and to annotate these with information regarding the functional roles played by these genes and their products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1533,"pubmed_id":15608288,"title":"The TIGR Gene Indices: clustering and assembling EST and known genes and integration with eukaryotic genomes.","year":2004,"url":"http://doi.org/10.1093/nar/gki064","authors":"Lee Y,Tsai J,Sunkara S,Karamycheva S,Pertea G,Sultana R,Antonescu V,Chan A,Cheung F,Quackenbush J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki064","created_at":"2021-09-30T08:25:11.650Z","updated_at":"2021-09-30T11:29:12.918Z"},{"id":1540,"pubmed_id":10592205,"title":"The TIGR gene indices: reconstruction and representation of expressed gene sequences.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.141","authors":"Quackenbush J,Liang F,Holt I,Pertea G,Upton J","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.141","created_at":"2021-09-30T08:25:12.491Z","updated_at":"2021-09-30T11:29:13.010Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1181,"relation":"undefined"}],"grants":[{"id":1102,"fairsharing_record_id":1889,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:24:56.314Z","updated_at":"2021-09-30T09:24:56.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1100,"fairsharing_record_id":1889,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:24:56.246Z","updated_at":"2021-09-30T09:24:56.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1101,"fairsharing_record_id":1889,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:56.283Z","updated_at":"2021-09-30T09:24:56.283Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1103,"fairsharing_record_id":1889,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:24:56.350Z","updated_at":"2021-09-30T09:24:56.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1104,"fairsharing_record_id":1889,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:56.390Z","updated_at":"2021-09-30T09:24:56.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1890","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:46.306Z","metadata":{"doi":"10.25504/FAIRsharing.tyyn81","name":"Health Canada Drug Product Database","status":"ready","contacts":[{"contact_email":"Info@hc-sc.gc.ca"}],"homepage":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/drug-product-database.html","citations":[],"identifier":1890,"description":"The Health Canada Drug Product Database contains product specific information on drugs approved for use in Canada. The database is managed by Health Canada and includes human pharmaceutical and biological drugs, veterinary drugs and disinfectant products. It contains approximately 15,000 products which companies have notified Health Canada as being marketed.","abbreviation":"HC DPD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/applications-submissions/guidance-documents/product-monograph/frequently-asked-questions-product-monographs-posted-health-canada-website.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/drug-product-database/search-tips.html","type":"Help documentation"},{"url":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/drug-product-database/terminology.html","type":"Help documentation"},{"url":"https://twitter.com/HealthCanada","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012754","name":"re3data:r3d100012754","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000355","bsg-d000355"],"name":"FAIRsharing record for: Health Canada Drug Product Database","abbreviation":"HC DPD","url":"https://fairsharing.org/10.25504/FAIRsharing.tyyn81","doi":"10.25504/FAIRsharing.tyyn81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Health Canada Drug Product Database contains product specific information on drugs approved for use in Canada. The database is managed by Health Canada and includes human pharmaceutical and biological drugs, veterinary drugs and disinfectant products. It contains approximately 15,000 products which companies have notified Health Canada as being marketed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[],"grants":[{"id":1105,"fairsharing_record_id":1890,"organisation_id":1221,"relation":"maintains","created_at":"2021-09-30T09:24:56.422Z","updated_at":"2021-09-30T09:24:56.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":1221,"name":"Health Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1106,"fairsharing_record_id":1890,"organisation_id":1221,"relation":"funds","created_at":"2021-09-30T09:24:56.454Z","updated_at":"2021-09-30T09:24:56.454Z","grant_id":null,"is_lead":false,"saved_state":{"id":1221,"name":"Health Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1876","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:29.999Z","metadata":{"doi":"10.25504/FAIRsharing.zzaykv","name":"Side Effect Resource","status":"ready","contacts":[{"contact_name":"Peer Bork","contact_email":"bork@embl.de","contact_orcid":"0000-0002-2627-833X"}],"homepage":"http://sideeffects.embl.de","identifier":1876,"description":"SIDER contains information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts. The available information include side effect frequency, drug and side effect classifications as well as links to further information, for example drug_target relations.","abbreviation":"SIDER","data_curation":{"url":"http://sideeffects.embl.de/","type":"manual","notes":"The information is extracted from public documents and package inserts."},"year_creation":2010,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012791","name":"re3data:r3d100012791","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004321","name":"SciCrunch:RRID:SCR_004321","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000341","bsg-d000341"],"name":"FAIRsharing record for: Side Effect Resource","abbreviation":"SIDER","url":"https://fairsharing.org/10.25504/FAIRsharing.zzaykv","doi":"10.25504/FAIRsharing.zzaykv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SIDER contains information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts. The available information include side effect frequency, drug and side effect classifications as well as links to further information, for example drug_target relations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Health Science","Biomedical Science"],"domains":["Drug","Adverse Reaction","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug Target"],"countries":["Germany"],"publications":[{"id":1448,"pubmed_id":20087340,"title":"A side effect resource to capture phenotypic effects of drugs.","year":2010,"url":"http://doi.org/10.1038/msb.2009.98","authors":"Kuhn M., Campillos M., Letunic I., Jensen LJ., Bork P.,","journal":"Mol. Syst. Biol.","doi":"10.1093/nar/gkv1075","created_at":"2021-09-30T08:25:01.860Z","updated_at":"2021-09-30T08:25:01.860Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1570,"relation":"undefined"}],"grants":[{"id":1066,"fairsharing_record_id":1876,"organisation_id":2197,"relation":"funds","created_at":"2021-09-30T09:24:55.218Z","updated_at":"2021-09-30T09:29:54.464Z","grant_id":462,"is_lead":false,"saved_state":{"id":2197,"name":"Novo Nordisk Foundation, Denmark","grant":"NNF14CC0001","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":1067,"fairsharing_record_id":1876,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:55.254Z","updated_at":"2021-09-30T09:24:55.254Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1877","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:12.282Z","metadata":{"doi":"10.25504/FAIRsharing.q7bkqr","name":"STING","status":"deprecated","contacts":[{"contact_name":"Goran Neshich","contact_email":"neshich@cnptia.embrapa.br"}],"homepage":"http://sms.cbi.cnptia.embrapa.br/SMS/index_s.html","citations":[],"identifier":1877,"description":"The Blue Star STING database stores information on the interactions between proteins and other bio macromolecules. Structure descriptors used in the analysis of these interactions are stored in STING DB to aid research primarily into the problems challenging Brazilian agriculture, livestock and medicine.","abbreviation":"STING","data_curation":{"type":"not found"},"support_links":[{"url":"http://sms.cbi.cnptia.embrapa.br/SMS/STINGm/help/quick_modules.html#report","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource has not been updated recently and a valid contact cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000342","bsg-d000342"],"name":"FAIRsharing record for: STING","abbreviation":"STING","url":"https://fairsharing.org/10.25504/FAIRsharing.q7bkqr","doi":"10.25504/FAIRsharing.q7bkqr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Blue Star STING database stores information on the interactions between proteins and other bio macromolecules. Structure descriptors used in the analysis of these interactions are stored in STING DB to aid research primarily into the problems challenging Brazilian agriculture, livestock and medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Brazil"],"publications":[{"id":1616,"pubmed_id":15608194,"title":"STING Report: convenient web-based application for graphic and tabular presentations of protein sequence, structure and function descriptors from the STING database.","year":2004,"url":"http://doi.org/10.1093/nar/gki111","authors":"Neshich G., Mancini AL., Yamagishi ME., Kuser PR., Fileto R., Pinto IP., Palandrani JF., Krauchenco JN., Baudet C., Montagner AJ., Higa RH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki111","created_at":"2021-09-30T08:25:21.086Z","updated_at":"2021-09-30T08:25:21.086Z"}],"licence_links":[],"grants":[{"id":1068,"fairsharing_record_id":1877,"organisation_id":582,"relation":"maintains","created_at":"2021-09-30T09:24:55.287Z","updated_at":"2021-09-30T09:24:55.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":582,"name":"Computational Biology Research Group , Embrapa/Informatica Agropecuaria, Sao Paulo, Brazil","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1878","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:17.732Z","metadata":{"doi":"10.25504/FAIRsharing.t3nprm","name":"CryptoDB","status":"ready","contacts":[{"contact_name":"Jessica Kissinger","contact_email":"jkissing@uga.edu","contact_orcid":"0000-0003-4446-6200"}],"homepage":"https://cryptodb.org/cryptodb/app","citations":[],"identifier":1878,"description":"CryptoDB serves as the functional genomics database for Cryptosporidium and related species. CryptoDB is a free, online resource for accessing and exploring genome sequence and annotation, functional genomics data, isolate sequences, and orthology profiles across organisms. It also includes supplemental bioinformatics analyses and a web interface for data-mining.","abbreviation":"CryptoDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://cryptodb.org/cryptodb/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://cryptodb.org/cryptodb/app/search/organism/GenomeDataTypes/result","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012265","name":"re3data:r3d100012265","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013455","name":"SciCrunch:RRID:SCR_013455","portal":"SciCrunch"}],"data_access_condition":{"url":"https://cryptodb.org/cryptodb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://cryptodb.org/cryptodb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://cryptodb.org/cryptodb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000343","bsg-d000343"],"name":"FAIRsharing record for: CryptoDB","abbreviation":"CryptoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.t3nprm","doi":"10.25504/FAIRsharing.t3nprm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CryptoDB serves as the functional genomics database for Cryptosporidium and related species. CryptoDB is a free, online resource for accessing and exploring genome sequence and annotation, functional genomics data, isolate sequences, and orthology profiles across organisms. It also includes supplemental bioinformatics analyses and a web interface for data-mining.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genomics","Parasitology"],"domains":["Genome annotation","Gene functional annotation","Parasite","Genome"],"taxonomies":["Cryptosporidium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":379,"pubmed_id":16381902,"title":"CryptoDB: a Cryptosporidium bioinformatics resource update.","year":2005,"url":"http://doi.org/10.1093/nar/gkj078","authors":"Heiges M., Wang H., Robinson E., Aurrecoechea C., Gao X., Kaluskar N., Rhodes P., Wang S., He CZ., Su Y., Miller J., Kraemer E., Kissinger JC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj078","created_at":"2021-09-30T08:23:00.710Z","updated_at":"2021-09-30T08:23:00.710Z"},{"id":1268,"pubmed_id":31452162,"title":"Accessing Cryptosporidium Omic and Isolate Data via CryptoDB.org.","year":2019,"url":"http://doi.org/10.1007/978-1-4939-9748-0_10","authors":"Warrenfeltz S,Kissinger JC","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-9748-0_10","created_at":"2021-09-30T08:24:41.542Z","updated_at":"2021-09-30T08:24:41.542Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2386,"relation":"undefined"}],"grants":[{"id":1071,"fairsharing_record_id":1878,"organisation_id":439,"relation":"maintains","created_at":"2021-09-30T09:24:55.375Z","updated_at":"2021-09-30T09:24:55.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":439,"name":"Center for Tropical \u0026 Emerging Global Diseases, University of Georgia, Athens, GA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8356,"fairsharing_record_id":1878,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.693Z","updated_at":"2021-09-30T09:32:14.936Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1072,"fairsharing_record_id":1878,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.413Z","updated_at":"2021-09-30T09:29:56.395Z","grant_id":478,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN75N93019C00077","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1069,"fairsharing_record_id":1878,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.310Z","updated_at":"2021-09-30T09:31:27.989Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9982,"fairsharing_record_id":1878,"organisation_id":3549,"relation":"maintains","created_at":"2022-10-07T16:09:08.548Z","updated_at":"2022-10-07T16:09:08.548Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdEVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e5062bc73a21ec49ec674e77bef1146b4e4a5614/cryptoDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1882","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:22.346Z","metadata":{"doi":"10.25504/FAIRsharing.g4n8sw","name":"PlasmoDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"https://plasmodb.org","citations":[{"doi":"10.1093/nar/gkn814","pubmed_id":18957442,"publication_id":378}],"identifier":1882,"description":"PlasmoDB is a genome database for the genus Plasmodium, a set of single-celled eukaryotic pathogens that cause human and animal diseases, including malaria.","abbreviation":"PlasmoDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://plasmodb.org/plasmo/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://plasmodb.org/plasmo/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://plasmodb.org/plasmo/app/search/organism/GenomeDataTypes/result","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011569","name":"re3data:r3d100011569","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013331","name":"SciCrunch:RRID:SCR_013331","portal":"SciCrunch"}],"data_access_condition":{"url":"https://plasmodb.org/plasmo/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://plasmodb.org/plasmo/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://plasmodb.org/plasmo/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000347","bsg-d000347"],"name":"FAIRsharing record for: PlasmoDB","abbreviation":"PlasmoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.g4n8sw","doi":"10.25504/FAIRsharing.g4n8sw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PlasmoDB is a genome database for the genus Plasmodium, a set of single-celled eukaryotic pathogens that cause human and animal diseases, including malaria.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Infectious Disease Medicine"],"domains":["Malaria","Pathogen","Genome","Infectious disease"],"taxonomies":["Plasmodium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":378,"pubmed_id":18957442,"title":"PlasmoDB: a functional genomic database for malaria parasites.","year":2008,"url":"http://doi.org/10.1093/nar/gkn814","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn814","created_at":"2021-09-30T08:23:00.608Z","updated_at":"2021-09-30T08:23:00.608Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2382,"relation":"undefined"}],"grants":[{"id":1079,"fairsharing_record_id":1882,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.641Z","updated_at":"2021-09-30T09:31:28.014Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8358,"fairsharing_record_id":1882,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.780Z","updated_at":"2021-09-30T09:32:14.966Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9580,"fairsharing_record_id":1882,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:43.280Z","updated_at":"2022-06-08T09:24:43.280Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1081,"fairsharing_record_id":1882,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.694Z","updated_at":"2021-09-30T09:31:16.718Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdFVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6a21bcec4fd1d1c6bdde88ac7f21e0385a1141d7/plasmoDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1883","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:18.457Z","metadata":{"doi":"10.25504/FAIRsharing.a08mtc","name":"ToxoDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"https://toxodb.org","citations":[],"identifier":1883,"description":"ToxoDB is a free online resource that provides access to genomic and functional genomic data for Toxoplasma and related organisms. The resource contains over 30 fully sequenced and annotated genomes, with genomic sequence from multiple strains available for variant detection and copy number variation analysis. In addition to genomic sequence data, ToxoDB contains functional genomic datasets including microarray, RNAseq, proteomics, ChIP-seq, and phenotypic data. In addition, results from a number of whole-genome analyses are incorporated, including mapping to orthology clusters, which allows users to leverage phylogenetic relationships in their analyses.","abbreviation":"ToxoDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://toxodb.org/toxo/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://toxodb.org/toxo/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012266","name":"re3data:r3d100012266","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013453","name":"SciCrunch:RRID:SCR_013453","portal":"SciCrunch"}],"data_access_condition":{"url":"https://toxodb.org/toxo/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://toxodb.org/toxo/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://toxodb.org/toxo/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000348","bsg-d000348"],"name":"FAIRsharing record for: ToxoDB","abbreviation":"ToxoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.a08mtc","doi":"10.25504/FAIRsharing.a08mtc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ToxoDB is a free online resource that provides access to genomic and functional genomic data for Toxoplasma and related organisms. The resource contains over 30 fully sequenced and annotated genomes, with genomic sequence from multiple strains available for variant detection and copy number variation analysis. In addition to genomic sequence data, ToxoDB contains functional genomic datasets including microarray, RNAseq, proteomics, ChIP-seq, and phenotypic data. In addition, results from a number of whole-genome analyses are incorporated, including mapping to orthology clusters, which allows users to leverage phylogenetic relationships in their analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Proteomics","Phylogenetics","Comparative Genomics"],"domains":["Expression data","Proteome","Pathogen","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","DNA microarray","Phenotype","Disease","Genome"],"taxonomies":["Toxoplasma"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":383,"pubmed_id":18003657,"title":"ToxoDB: an integrated Toxoplasma gondii database resource.","year":2007,"url":"http://doi.org/10.1093/nar/gkm981","authors":"Gajria B., Bahl A., Brestelli J., Dommer J., Fischer S., Gao X., Heiges M., Iodice J., Kissinger JC., Mackey AJ., Pinney DF., Roos DS., Stoeckert CJ., Wang H., Brunk BP.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm981","created_at":"2021-09-30T08:23:01.499Z","updated_at":"2021-09-30T08:23:01.499Z"},{"id":1314,"pubmed_id":31758445,"title":"ToxoDB: Functional Genomics Resource for Toxoplasma and Related Organisms.","year":2019,"url":"http://doi.org/10.1007/978-1-4939-9857-9_2","authors":"Harb OS,Roos DS","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-9857-9_2","created_at":"2021-09-30T08:24:46.733Z","updated_at":"2021-09-30T08:24:46.733Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2383,"relation":"undefined"}],"grants":[{"id":1082,"fairsharing_record_id":1883,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.719Z","updated_at":"2021-09-30T09:31:28.027Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1084,"fairsharing_record_id":1883,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.778Z","updated_at":"2021-09-30T09:31:16.731Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9579,"fairsharing_record_id":1883,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:22.538Z","updated_at":"2022-06-08T09:24:22.538Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8359,"fairsharing_record_id":1883,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.818Z","updated_at":"2021-09-30T09:32:14.979Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e722d88723f0b94891ed8ea310b0270f24294ee8/toxoDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1884","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:22.975Z","metadata":{"doi":"10.25504/FAIRsharing.pv0ezt","name":"TrichDB","status":"ready","contacts":[{"contact_name":"Omar Harb","contact_email":"oharb@pcbi.upenn.edu","contact_orcid":"0000-0003-4446-6200"}],"homepage":"http://trichdb.org/trichdb/","citations":[],"identifier":1884,"description":"TrichDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"TrichDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://trichdb.org/trichdb/contact.do","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://twitter.com/eupathdb","type":"Twitter"}],"data_versioning":"no","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012461","name":"re3data:r3d100012461","portal":"re3data"}],"data_access_condition":{"url":"https://trichdb.org/trichdb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://trichdb.org/trichdb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://trichdb.org/trichdb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000349","bsg-d000349"],"name":"FAIRsharing record for: TrichDB","abbreviation":"TrichDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pv0ezt","doi":"10.25504/FAIRsharing.pv0ezt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TrichDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Eukaryota","Trichomonas"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1523,"pubmed_id":18824479,"title":"GiardiaDB and TrichDB: integrated genomic resources for the eukaryotic protist pathogens Giardia lamblia and Trichomonas vaginalis.","year":2008,"url":"http://doi.org/10.1093/nar/gkn631","authors":"Aurrecoechea C et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn631","created_at":"2021-09-30T08:25:10.519Z","updated_at":"2021-09-30T08:25:10.519Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2360,"relation":"undefined"}],"grants":[{"id":1086,"fairsharing_record_id":1884,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.828Z","updated_at":"2021-09-30T09:24:55.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1085,"fairsharing_record_id":1884,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:24:55.801Z","updated_at":"2021-09-30T09:24:55.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1087,"fairsharing_record_id":1884,"organisation_id":439,"relation":"maintains","created_at":"2021-09-30T09:24:55.852Z","updated_at":"2021-09-30T09:24:55.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":439,"name":"Center for Tropical \u0026 Emerging Global Diseases, University of Georgia, Athens, GA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1088,"fairsharing_record_id":1884,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:55.878Z","updated_at":"2021-09-30T09:31:16.743Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9578,"fairsharing_record_id":1884,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:04.760Z","updated_at":"2022-06-08T09:24:04.760Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdDBCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a55f8a84668c7738fd664dc14eb2fc782784c88d/trichDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1874","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:31:46.784Z","metadata":{"doi":"10.25504/FAIRsharing.rnx28e","name":"Expression Database in 4D","status":"deprecated","contacts":[{"contact_name":"Yannick Haudry","contact_email":"yannick.haudry@embl.de"}],"homepage":"http://4dx.embl.de/4DXpress","identifier":1874,"description":"This database provides a platform to query and compare gene expression data during the development of the major model animals (zebrafish, drosophila, medaka, mouse). The high resolution expression data was acquired through whole mount in situ hybridsation-, antibody- or transgenic experiments.","abbreviation":"4DXpress","data_curation":{"type":"not found"},"support_links":[{"url":"http://4dx.embl.de/4DXpress/reg/all/faq.do","type":"Frequently Asked Questions (FAQs)"},{"url":"http://4dx.embl.de/4DXpress/reg/all/help.do","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://4dx.embl.de/4DXpress/reg/all/prepareSearch/blast.do","name":"BLAST"}],"deprecation_date":"2015-04-10","deprecation_reason":"This resource is no longer maintained. Please contact us at biosharing-contact-us@lists.sf.net if you have any information relating to the activity of this database.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000337","bsg-d000337"],"name":"FAIRsharing record for: Expression Database in 4D","abbreviation":"4DXpress","url":"https://fairsharing.org/10.25504/FAIRsharing.rnx28e","doi":"10.25504/FAIRsharing.rnx28e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database provides a platform to query and compare gene expression data during the development of the major model animals (zebrafish, drosophila, medaka, mouse). The high resolution expression data was acquired through whole mount in situ hybridsation-, antibody- or transgenic experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","In situ hybridization"],"taxonomies":["Bilateria"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":389,"pubmed_id":17916571,"title":"4DXpress: a database for cross-species expression pattern comparisons.","year":2007,"url":"http://doi.org/10.1093/nar/gkm797","authors":"Haudry Y., Berube H., Letunic I., Weeber PD., Gagneur J., Girardot C., Kapushesky M., Arendt D., Bork P., Brazma A., Furlong EE., Wittbrodt J., Henrich T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm797","created_at":"2021-09-30T08:23:02.183Z","updated_at":"2021-09-30T08:23:02.183Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":352,"relation":"undefined"}],"grants":[{"id":1054,"fairsharing_record_id":1874,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:54.720Z","updated_at":"2021-09-30T09:24:54.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1875","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:37:48.310Z","metadata":{"doi":"10.25504/FAIRsharing.9b7wvk","name":"STRING","status":"ready","contacts":[{"contact_name":"Peer Bork","contact_email":"bork@embl.de","contact_orcid":"0000-0002-2627-833X"}],"homepage":"https://string-db.org/","citations":[{"doi":"10.1093/nar/gku1003","pubmed_id":25352553,"publication_id":2035}],"identifier":1875,"description":"STRING is a database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations.","abbreviation":"STRING","data_curation":{"url":"https://string-db.org/cgi/help","type":"automated","notes":"Some data derived from curated data of various database"},"support_links":[{"url":"https://string-db.org/cgi/support.pl","name":"Contact Support","type":"Contact form"},{"url":"https://string-db.org/cgi/info?footer_active_subpage=faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://string-db.org/cgi/help","name":"STRING Help","type":"Help documentation"},{"url":"https://string-db.org/cgi/info.pl?footer_active_subpage=scores","name":"About Interaction Scores","type":"Help documentation"},{"url":"https://string-db.org/cgi/about?footer_active_subpage=statistics","name":"Statistics","type":"Help documentation"},{"url":"https://string-db.org/cgi/about.pl?footer_active_subpage=content","name":"About STRING","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/cytoscape-stringapp-exercises","name":"Cytoscape stringApp exercises","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/string-exercises","name":"STRING exercises","type":"TeSS links to training materials"}],"year_creation":2000,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010604","name":"re3data:r3d100010604","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005223","name":"SciCrunch:RRID:SCR_005223","portal":"SciCrunch"}],"data_access_condition":{"url":"https://string-db.org/cgi/help","type":"open","notes":"STRING is completely free and avaliable to download for both, our academic and commercial users."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://string-db.org/cgi/help","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000340","bsg-d000340"],"name":"FAIRsharing record for: STRING","abbreviation":"STRING","url":"https://fairsharing.org/10.25504/FAIRsharing.9b7wvk","doi":"10.25504/FAIRsharing.9b7wvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STRING is a database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11345},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11525},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11843},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12245},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16185}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Computational biological predictions","Protein interaction","Functional association","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1413,"pubmed_id":26614125,"title":"SVD-phy: improved prediction of protein functional associations through singular value decomposition of phylogenetic profiles.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv696","authors":"Franceschini A,Lin J,von Mering C,Jensen LJ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv696","created_at":"2021-09-30T08:24:57.935Z","updated_at":"2021-09-30T08:24:57.935Z"},{"id":1415,"pubmed_id":23203871,"title":"STRING v9.1: protein-protein interaction networks, with increased coverage and integration.","year":2012,"url":"http://doi.org/10.1093/nar/gks1094","authors":"Franceschini A,Szklarczyk D,Frankild S,Kuhn M,Simonovic M,Roth A,Lin J,Minguez P,Bork P,von Mering C,Jensen LJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1094","created_at":"2021-09-30T08:24:58.141Z","updated_at":"2021-09-30T11:29:08.151Z"},{"id":2035,"pubmed_id":25352553,"title":"STRING v10: protein-protein interaction networks, integrated over the tree of life.","year":2014,"url":"http://doi.org/10.1093/nar/gku1003","authors":"Szklarczyk D,Franceschini A,Wyder S,Forslund K,Heller D,Huerta-Cepas J,Simonovic M,Roth A,Santos A,Tsafou KP,Kuhn M,Bork P,Jensen LJ,von Mering C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1003","created_at":"2021-09-30T08:26:09.154Z","updated_at":"2021-09-30T11:29:26.803Z"},{"id":2096,"pubmed_id":30476243,"title":"STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.","year":2018,"url":"http://doi.org/10.1093/nar/gky1131","authors":"Szklarczyk D,Gable AL,Lyon D,Junge A,Wyder S,Huerta-Cepas J,Simonovic M,Doncheva NT,Morris JH,Bork P,Jensen LJ,Mering CV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1131","created_at":"2021-09-30T08:26:16.206Z","updated_at":"2021-09-30T11:29:29.036Z"},{"id":2098,"pubmed_id":27924014,"title":"The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.","year":2016,"url":"http://doi.org/10.1093/nar/gkw937","authors":"Szklarczyk D,Morris JH,Cook H,Kuhn M,Wyder S,Simonovic M,Santos A,Doncheva NT,Roth A,Bork P,Jensen LJ,von Mering C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw937","created_at":"2021-09-30T08:26:16.412Z","updated_at":"2021-09-30T11:29:29.221Z"},{"id":2174,"pubmed_id":18940858,"title":"STRING 8--a global view on proteins and their functional interactions in 630 organisms.","year":2008,"url":"http://doi.org/10.1093/nar/gkn760","authors":"Jensen LJ., Kuhn M., Stark M., Chaffron S., Creevey C., Muller J., Doerks T., Julien P., Roth A., Simonovic M., Bork P., von Mering C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn760","created_at":"2021-09-30T08:26:24.966Z","updated_at":"2021-09-30T08:26:24.966Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1388,"relation":"undefined"}],"grants":[{"id":1055,"fairsharing_record_id":1875,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:24:54.809Z","updated_at":"2021-09-30T09:24:54.809Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1062,"fairsharing_record_id":1875,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:55.031Z","updated_at":"2021-09-30T09:24:55.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1065,"fairsharing_record_id":1875,"organisation_id":3155,"relation":"funds","created_at":"2021-09-30T09:24:55.129Z","updated_at":"2021-09-30T09:24:55.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":3155,"name":"University of Zurich, Switzerland","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1056,"fairsharing_record_id":1875,"organisation_id":2196,"relation":"funds","created_at":"2021-09-30T09:24:54.844Z","updated_at":"2021-09-30T09:24:54.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1057,"fairsharing_record_id":1875,"organisation_id":943,"relation":"funds","created_at":"2021-09-30T09:24:54.879Z","updated_at":"2021-09-30T09:24:54.879Z","grant_id":null,"is_lead":false,"saved_state":{"id":943,"name":"European Molecular Biology Organization","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1058,"fairsharing_record_id":1875,"organisation_id":1045,"relation":"funds","created_at":"2021-09-30T09:24:54.915Z","updated_at":"2021-09-30T09:24:54.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":1045,"name":"Foundation ProBioC, Heidelberg, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1060,"fairsharing_record_id":1875,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:54.968Z","updated_at":"2021-09-30T09:24:54.968Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1061,"fairsharing_record_id":1875,"organisation_id":984,"relation":"funds","created_at":"2021-09-30T09:24:54.999Z","updated_at":"2021-09-30T09:24:54.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":984,"name":"Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1063,"fairsharing_record_id":1875,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:55.060Z","updated_at":"2021-09-30T09:24:55.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1064,"fairsharing_record_id":1875,"organisation_id":3155,"relation":"maintains","created_at":"2021-09-30T09:24:55.091Z","updated_at":"2021-09-30T09:24:55.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":3155,"name":"University of Zurich, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9355,"fairsharing_record_id":1875,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.694Z","updated_at":"2022-04-11T12:07:32.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1885","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:23.679Z","metadata":{"doi":"10.25504/FAIRsharing.fs1z27","name":"TriTrypDB","status":"ready","contacts":[{"contact_name":"Omar Harb","contact_email":"oharb@pcbi.upenn.edu","contact_orcid":"0000-0003-4446-6200"}],"homepage":"http://tritrypdb.org/tritrypdb/","citations":[{"doi":"10.1093/nar/gkp851","pubmed_id":19843604,"publication_id":377}],"identifier":1885,"description":"TriTrypDB is one of the databases that can be accessed through the VEuPathDB portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the VEuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"TriTrypDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://tritrypdb.org/tritrypdb/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://tritrypdb.org/tritrypdb/app/static-content/methods.html","name":"Data Analysis Methods","type":"Help documentation"},{"url":"https://www.youtube.com/user/EuPathDB/playlists","name":"YouTube Channel","type":"Video"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011479","name":"re3data:r3d100011479","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007043","name":"SciCrunch:RRID:SCR_007043","portal":"SciCrunch"}],"data_access_condition":{"url":"https://tritrypdb.org/tritrypdb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://tritrypdb.org/tritrypdb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://tritrypdb.org/tritrypdb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000350","bsg-d000350"],"name":"FAIRsharing record for: TriTrypDB","abbreviation":"TriTrypDB","url":"https://fairsharing.org/10.25504/FAIRsharing.fs1z27","doi":"10.25504/FAIRsharing.fs1z27","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TriTrypDB is one of the databases that can be accessed through the VEuPathDB portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the VEuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Infectious Disease Medicine","Comparative Genomics"],"domains":["Pathogen","Genome"],"taxonomies":["Eukaryota","Leishmania","Leishmania major","Trypanosoma brucei","Trypanosoma cruzi","Trypanosomatidae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":377,"pubmed_id":19843604,"title":"TriTrypDB: a functional genomic resource for the Trypanosomatidae.","year":2009,"url":"http://doi.org/10.1093/nar/gkp851","authors":"Aslett M., Aurrecoechea C., Berriman M. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp851","created_at":"2021-09-30T08:23:00.509Z","updated_at":"2021-09-30T08:23:00.509Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Access Policy","licence_id":842,"licence_url":"https://tritrypdb.org/tritrypdb/app/static-content/about.html","link_id":2372,"relation":"undefined"},{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2371,"relation":"undefined"}],"grants":[{"id":1092,"fairsharing_record_id":1885,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:24:55.983Z","updated_at":"2021-09-30T09:24:55.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1089,"fairsharing_record_id":1885,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.902Z","updated_at":"2021-09-30T09:31:28.038Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9577,"fairsharing_record_id":1885,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:23:49.034Z","updated_at":"2022-06-08T09:23:49.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1090,"fairsharing_record_id":1885,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.928Z","updated_at":"2021-09-30T09:31:16.755Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8360,"fairsharing_record_id":1885,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.856Z","updated_at":"2021-09-30T09:32:15.002Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdFlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9cba83c15dede60f028fb1588eb50e5b0629cb3b/tritrypDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1915","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-06T14:46:29.022Z","metadata":{"doi":"10.25504/FAIRsharing.ek15yj","name":"Integrated Tumor Transcriptome Array and Clinical data Analysis database","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"ittaca@curie.fr"}],"homepage":"http://bioinfo.curie.fr/ittaca","identifier":1915,"description":"ITTACA is a database created for Integrated Tumor Transcriptome Array and Clinical data Analysis. ITTACA centralizes public datasets containing both gene expression and clinical data and currently focuses on the types of cancer that are of particular interest to the Institut Curie: breast carcinoma, bladder carcinoma, and uveal melanoma.","abbreviation":"ITTACA","data_curation":{"type":"not found"},"support_links":[{"url":"http://bioinfo-out.curie.fr/ittaca/documentation/documentation.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-06-24","deprecation_reason":"Message on the homepage \"ITTACA website is closed\".","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000380","bsg-d000380"],"name":"FAIRsharing record for: Integrated Tumor Transcriptome Array and Clinical data Analysis database","abbreviation":"ITTACA","url":"https://fairsharing.org/10.25504/FAIRsharing.ek15yj","doi":"10.25504/FAIRsharing.ek15yj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ITTACA is a database created for Integrated Tumor Transcriptome Array and Clinical data Analysis. ITTACA centralizes public datasets containing both gene expression and clinical data and currently focuses on the types of cancer that are of particular interest to the Institut Curie: breast carcinoma, bladder carcinoma, and uveal melanoma.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12651}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Expression data","Cancer","Gene expression","Tumor","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1541,"pubmed_id":16381943,"title":"ITTACA: a new database for integrated tumor transcriptome array and clinical data analysis.","year":2005,"url":"http://doi.org/10.1093/nar/gkj022","authors":"Elfilali A,Lair S,Verbeke C,La Rosa P,Radvanyi F,Barillot E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj022","created_at":"2021-09-30T08:25:12.590Z","updated_at":"2021-09-30T11:29:13.103Z"}],"licence_links":[],"grants":[{"id":1187,"fairsharing_record_id":1915,"organisation_id":1363,"relation":"maintains","created_at":"2021-09-30T09:24:59.058Z","updated_at":"2021-09-30T09:24:59.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":1363,"name":"Institut Curie, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1916","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.673Z","metadata":{"doi":"10.25504/FAIRsharing.jrjqc7","name":"Buruli ulcer bacillus Database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/BuruList/","identifier":1916,"description":"A database dedicated to the analysis of the genome of Mycobacterium ulcerans, the Buruli ulcer bacillus. It provides a complete dataset of DNA and protein sequences derived from the epidemic strain Agy99, linked to the relevant annotations and functional assignments.","abbreviation":"BuruList","data_curation":{"type":"not found"},"year_creation":2001,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000381","bsg-d000381"],"name":"FAIRsharing record for: Buruli ulcer bacillus Database","abbreviation":"BuruList","url":"https://fairsharing.org/10.25504/FAIRsharing.jrjqc7","doi":"10.25504/FAIRsharing.jrjqc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database dedicated to the analysis of the genome of Mycobacterium ulcerans, the Buruli ulcer bacillus. It provides a complete dataset of DNA and protein sequences derived from the epidemic strain Agy99, linked to the relevant annotations and functional assignments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Protein","Genome"],"taxonomies":["Mycobacterium ulcerans"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1189,"fairsharing_record_id":1916,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.114Z","updated_at":"2021-09-30T09:24:59.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1188,"fairsharing_record_id":1916,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.086Z","updated_at":"2021-09-30T09:24:59.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1190,"fairsharing_record_id":1916,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.141Z","updated_at":"2021-09-30T09:24:59.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1191,"fairsharing_record_id":1916,"organisation_id":1060,"relation":"funds","created_at":"2021-09-30T09:24:59.230Z","updated_at":"2021-09-30T09:24:59.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":1060,"name":"French Ministry of Education, Research and Technology, France","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1917","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:14.458Z","metadata":{"doi":"10.25504/FAIRsharing.hbbtbj","name":"Colibri","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/Colibri/","identifier":1917,"description":"Its purpose is to collate and integrate various aspects of the genomic information from E. coli, the paradigm of Gram-negative bacteria. Colibri provides a complete dataset of DNA and protein sequences derived from the paradigm strain E. coli K-12, linked to the relevant annotations and functional assignments. It allows one to easily browse through these data and retrieve information, using various criteria (gene names, location, keywords, etc.).","abbreviation":"Colibri","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/Colibri/help/general.html","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000382","bsg-d000382"],"name":"FAIRsharing record for: Colibri","abbreviation":"Colibri","url":"https://fairsharing.org/10.25504/FAIRsharing.hbbtbj","doi":"10.25504/FAIRsharing.hbbtbj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Its purpose is to collate and integrate various aspects of the genomic information from E. coli, the paradigm of Gram-negative bacteria. Colibri provides a complete dataset of DNA and protein sequences derived from the paradigm strain E. coli K-12, linked to the relevant annotations and functional assignments. It allows one to easily browse through these data and retrieve information, using various criteria (gene names, location, keywords, etc.).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1192,"fairsharing_record_id":1917,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.267Z","updated_at":"2021-09-30T09:24:59.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1193,"fairsharing_record_id":1917,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.299Z","updated_at":"2021-09-30T09:24:59.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1194,"fairsharing_record_id":1917,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.322Z","updated_at":"2021-09-30T09:24:59.322Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1906","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:54.144Z","metadata":{"doi":"10.25504/FAIRsharing.7fc5y6","name":"Eukaryotic Genes","status":"ready","contacts":[{"contact_name":"Don Gilbert","contact_email":"eugenes@iubio.bio.indiana.edu","contact_orcid":"0000-0002-6646-7274"}],"homepage":"http://eugenes.org/","identifier":1906,"description":"euGenes provides a common summary of gene and genomic information from eukaryotic organism databases including gene symbol and full name, chromosome, genetic and molecular map information, Gene Ontology (Function/Location/Process) and gene homology, product information.","abbreviation":"euGenes","data_curation":{"type":"none"},"support_links":[{"url":"http://eugenes.org/docs/","type":"Help documentation"}],"year_creation":1999,"data_versioning":"no","associated_tools":[{"url":"http://eugenes.org/tools/","name":"euGenes Tools"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000371","bsg-d000371"],"name":"FAIRsharing record for: Eukaryotic Genes","abbreviation":"euGenes","url":"https://fairsharing.org/10.25504/FAIRsharing.7fc5y6","doi":"10.25504/FAIRsharing.7fc5y6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: euGenes provides a common summary of gene and genomic information from eukaryotic organism databases including gene symbol and full name, chromosome, genetic and molecular map information, Gene Ontology (Function/Location/Process) and gene homology, product information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene name","Gene Ontology enrichment","Gene","Genome"],"taxonomies":["Anopheles gambiae","Arabidopsis thaliana","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":777,"pubmed_id":11752277,"title":"euGenes: a eukaryote genome information system.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.145","authors":"Gilbert, D.G.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.145","created_at":"2021-09-30T08:23:45.619Z","updated_at":"2021-09-30T08:23:45.619Z"}],"licence_links":[],"grants":[{"id":8440,"fairsharing_record_id":1906,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:39.401Z","updated_at":"2021-09-30T09:32:39.455Z","grant_id":1720,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-9982851","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1164,"fairsharing_record_id":1906,"organisation_id":224,"relation":"maintains","created_at":"2021-09-30T09:24:58.273Z","updated_at":"2021-09-30T09:24:58.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":224,"name":"BioComputing laboratory, University of Padua, Italy","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1165,"fairsharing_record_id":1906,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:58.306Z","updated_at":"2021-09-30T09:32:07.207Z","grant_id":1477,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0090782","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1907","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:27.101Z","metadata":{"doi":"10.25504/FAIRsharing.h5epxm","name":"Daphnia Water Flea Genome Database","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"daphnia@iubio.bio.indiana.edu"}],"homepage":"http://wfleabase.org/","identifier":1907,"description":"wFleaBase includes data from all species of the genus, yet the primary species are Daphnia pulex and Daphnia magna, because of the broad set of genomic tools that have already been developed for these animals.","abbreviation":"wFleaBase","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://wfleabase.org/docs/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://wfleabase.org/blast/","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000372","bsg-d000372"],"name":"FAIRsharing record for: Daphnia Water Flea Genome Database","abbreviation":"wFleaBase","url":"https://fairsharing.org/10.25504/FAIRsharing.h5epxm","doi":"10.25504/FAIRsharing.h5epxm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: wFleaBase includes data from all species of the genus, yet the primary species are Daphnia pulex and Daphnia magna, because of the broad set of genomic tools that have already been developed for these animals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Ecology","Computational Biology","Life Science"],"domains":["Genome visualization","Genome"],"taxonomies":["Daphnia","Daphnia magna","Daphnia pulex"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":412,"pubmed_id":15752432,"title":"wFleaBase: the Daphnia genome database.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-45","authors":"Colbourne JK., Singan VR., Gilbert DG.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-45","created_at":"2021-09-30T08:23:04.766Z","updated_at":"2021-09-30T08:23:04.766Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":516,"relation":"undefined"},{"licence_name":"wFleaBase Academic use","licence_id":859,"licence_url":"http://wfleabase.org/docs/wfleabase-copyright.html","link_id":517,"relation":"undefined"}],"grants":[{"id":1166,"fairsharing_record_id":1907,"organisation_id":224,"relation":"maintains","created_at":"2021-09-30T09:24:58.340Z","updated_at":"2021-09-30T09:24:58.340Z","grant_id":null,"is_lead":false,"saved_state":{"id":224,"name":"BioComputing laboratory, University of Padua, Italy","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1169,"fairsharing_record_id":1907,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:58.412Z","updated_at":"2021-09-30T09:30:26.265Z","grant_id":710,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01HG002733-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1167,"fairsharing_record_id":1907,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:58.363Z","updated_at":"2021-09-30T09:30:33.973Z","grant_id":767,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0090782","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9394,"fairsharing_record_id":1907,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.461Z","updated_at":"2022-04-11T12:07:35.461Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1908","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:13.800Z","metadata":{"doi":"10.25504/FAIRsharing.mx41z8","name":"FusionDB","status":"deprecated","contacts":[{"contact_name":"Karsten Suhre","contact_email":"karsten.suhre@igs.cnrs-mrs.fr"}],"homepage":"http://igs-server.cnrs-mrs.fr/FusionDB/","identifier":1908,"description":"FusionDB is a database of bacterial and archaeal gene fusion events - also known as Rosetta stones","abbreviation":"FusionDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.igs.cnrs-mrs.fr/FusionDB/help.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2015-07-28","deprecation_reason":"This resource is no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000373","bsg-d000373"],"name":"FAIRsharing record for: FusionDB","abbreviation":"FusionDB","url":"https://fairsharing.org/10.25504/FAIRsharing.mx41z8","doi":"10.25504/FAIRsharing.mx41z8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FusionDB is a database of bacterial and archaeal gene fusion events - also known as Rosetta stones","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":410,"pubmed_id":14681411,"title":"FusionDB: a database for in-depth analysis of prokaryotic gene fusion events.","year":2003,"url":"http://doi.org/10.1093/nar/gkh053","authors":"Suhre K., Claverie JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh053","created_at":"2021-09-30T08:23:04.567Z","updated_at":"2021-09-30T08:23:04.567Z"}],"licence_links":[],"grants":[{"id":1170,"fairsharing_record_id":1908,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:58.440Z","updated_at":"2021-09-30T09:24:58.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1909","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T08:35:52.330Z","metadata":{"doi":"10.25504/FAIRsharing.cb05hf","name":"Aphid Genomics Database","status":"ready","contacts":[{"contact_name":"Fabrice Legeai","contact_email":"fabrice.legeai@rennes.inra.fr"}],"homepage":"http://www.aphidbase.com/","identifier":1909,"description":"The Aphid Genome Database's aim is to improve the current pea aphid genome assembly and annotation, and to provide new aphid genome sequences as well as tools for analysis of these genomes.","abbreviation":"AphidBase","data_curation":{"type":"not found"},"support_links":[{"url":"aphidgenomics@listes.inra.fr","type":"Mailing list"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"http://tools.genouest.org/tools/genouestsf/aphidblast.php/en/","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://bipaa.genouest.org/is/aphidbase/iagc/","type":"open","notes":"User should become a resource member"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000374","bsg-d000374"],"name":"FAIRsharing record for: Aphid Genomics Database","abbreviation":"AphidBase","url":"https://fairsharing.org/10.25504/FAIRsharing.cb05hf","doi":"10.25504/FAIRsharing.cb05hf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Aphid Genome Database's aim is to improve the current pea aphid genome assembly and annotation, and to provide new aphid genome sequences as well as tools for analysis of these genomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome annotation","Genomic assembly","Genome"],"taxonomies":["Aphididae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":406,"pubmed_id":20482635,"title":"AphidBase: a centralized bioinformatic resource for annotation of the pea aphid genome.","year":2010,"url":"http://doi.org/10.1111/j.1365-2583.2009.00930.x","authors":"Legeai F., Shigenobu S., Gauthier JP., Colbourne J., Rispe C., Collin O., Richards S., Wilson AC., Murphy T., Tagu D.,","journal":"Insect Mol. Biol.","doi":"10.1111/j.1365-2583.2009.00930.x","created_at":"2021-09-30T08:23:04.108Z","updated_at":"2021-09-30T08:23:04.108Z"},{"id":1496,"pubmed_id":17237053,"title":"AphidBase: a database for aphid genomic resources.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btl682","authors":"Gauthier JP,Legeai F,Zasadzinski A,Rispe C,Tagu D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl682","created_at":"2021-09-30T08:25:07.577Z","updated_at":"2021-09-30T08:25:07.577Z"}],"licence_links":[],"grants":[{"id":1172,"fairsharing_record_id":1909,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:58.529Z","updated_at":"2021-09-30T09:29:44.902Z","grant_id":384,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service","grant":"2007-04628","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12021,"fairsharing_record_id":1909,"organisation_id":2066,"relation":"maintains","created_at":"2024-07-04T08:31:28.242Z","updated_at":"2024-07-04T08:31:28.242Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1910","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-24T14:44:02.656Z","metadata":{"doi":"10.25504/FAIRsharing.a8z6gz","name":"ProDom","status":"deprecated","contacts":[{"contact_name":"General Help","contact_email":"prohelp@prabi.fr"}],"homepage":"http://prodom.prabi.fr/","citations":[{"doi":"10.1093/bib/3.3.246","pubmed_id":12230033,"publication_id":1594}],"identifier":1910,"description":"ProDom is a comprehensive set of protein domain families automatically generated from the UniProt Knowledge Database.","abbreviation":"ProDom","data_curation":{"type":"not found"},"support_links":[{"url":"http://prodom.prabi.fr/prodom/current/documentation/help.php","type":"Help documentation"},{"url":"http://prodom.prabi.fr/prodom/current/html/webservices.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://avatar.se/molscript/","name":"MolScript"},{"url":"http://prodomweb.univ-lyon1.fr/prodom/xdom/","name":"mkdom/Xdom"},{"url":"http://espript.ibcp.fr/ESPript/cgi-bin/ESPript.cgi","name":"ESPript"}],"deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000375","bsg-d000375"],"name":"FAIRsharing record for: ProDom","abbreviation":"ProDom","url":"https://fairsharing.org/10.25504/FAIRsharing.a8z6gz","doi":"10.25504/FAIRsharing.a8z6gz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProDom is a comprehensive set of protein domain families automatically generated from the UniProt Knowledge Database.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11348},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12166},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12649}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":420,"pubmed_id":15608179,"title":"The ProDom database of protein domain families: more emphasis on 3D","year":2004,"url":"http://doi.org/10.1093/nar/gki034","authors":"Bru C., Courcelle E., Carrère S., Beausse Y., Dalmar S., Kahn D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki034","created_at":"2021-09-30T08:23:05.658Z","updated_at":"2021-09-30T08:23:05.658Z"},{"id":1594,"pubmed_id":12230033,"title":"ProDom: automated clustering of homologous domains.","year":2002,"url":"http://doi.org/10.1093/bib/3.3.246","authors":"Servant F,Bru C,Carrere S,Courcelle E,Gouzy J,Peyruc D,Kahn D","journal":"Brief Bioinform","doi":"10.1093/bib/3.3.246","created_at":"2021-09-30T08:25:18.695Z","updated_at":"2021-09-30T08:25:18.695Z"}],"licence_links":[{"licence_name":"Prodom Database License","licence_id":681,"licence_url":"http://prodom.prabi.fr/prodom/current/html/downcom.php","link_id":551,"relation":"undefined"}],"grants":[{"id":1176,"fairsharing_record_id":1910,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:58.649Z","updated_at":"2021-09-30T09:24:58.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1173,"fairsharing_record_id":1910,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:24:58.567Z","updated_at":"2021-09-30T09:24:58.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1175,"fairsharing_record_id":1910,"organisation_id":2439,"relation":"funds","created_at":"2021-09-30T09:24:58.623Z","updated_at":"2021-09-30T09:24:58.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1918","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:28:56.452Z","metadata":{"doi":"10.25504/FAIRsharing.amxd1s","name":"GenoList Genome Browser","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/","citations":[],"identifier":1918,"description":"GenoList is an integrated environment for comparative exploration of microbial genomes. The current release integrates genome data for over 700 species (Genome Reviews). The query and navigation user interface includes specialized tools for subtractive genome analysis and dynamic synteny visualization.","abbreviation":"GenoList","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"While this resource had incorporated a number of deprecated databases, GenoList is now itself deprecated, as it is no longer available at the stated homepage, and the organisation has stated that the resource has been discontinued. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000383","bsg-d000383"],"name":"FAIRsharing record for: GenoList Genome Browser","abbreviation":"GenoList","url":"https://fairsharing.org/10.25504/FAIRsharing.amxd1s","doi":"10.25504/FAIRsharing.amxd1s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenoList is an integrated environment for comparative exploration of microbial genomes. The current release integrates genome data for over 700 species (Genome Reviews). The query and navigation user interface includes specialized tools for subtractive genome analysis and dynamic synteny visualization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2297,"pubmed_id":18032431,"title":"GenoList: an integrated environment for comparative analysis of microbial genomes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm1042","authors":"Lechat P,Hummel L,Rousseau S,Moszer I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm1042","created_at":"2021-09-30T08:26:40.690Z","updated_at":"2021-09-30T11:29:32.753Z"}],"licence_links":[],"grants":[{"id":1195,"fairsharing_record_id":1918,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.348Z","updated_at":"2021-09-30T09:24:59.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1196,"fairsharing_record_id":1918,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.372Z","updated_at":"2021-09-30T09:24:59.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1919","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.771Z","metadata":{"doi":"10.25504/FAIRsharing.dntrmf","name":"Legionella pneumophila genome database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"cbuch@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/LegioList/","identifier":1919,"description":"LegioList is a database dedicated to the analysis of the genomes of Legionella pneumophila strain Paris (endemic in France), strain Lens (epidemic isolate), strain Phildelphia 1, and strain Corby. It also includes the genome of Legionella longbeachae strain NSW150.","abbreviation":"LegioList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/LegioList/help/general.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000384","bsg-d000384"],"name":"FAIRsharing record for: Legionella pneumophila genome database","abbreviation":"LegioList","url":"https://fairsharing.org/10.25504/FAIRsharing.dntrmf","doi":"10.25504/FAIRsharing.dntrmf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LegioList is a database dedicated to the analysis of the genomes of Legionella pneumophila strain Paris (endemic in France), strain Lens (epidemic isolate), strain Phildelphia 1, and strain Corby. It also includes the genome of Legionella longbeachae strain NSW150.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Genome"],"taxonomies":["Legionella pneumophila"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1198,"fairsharing_record_id":1919,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.422Z","updated_at":"2021-09-30T09:24:59.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1197,"fairsharing_record_id":1919,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.398Z","updated_at":"2021-09-30T09:24:59.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1920","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:14.729Z","metadata":{"doi":"10.25504/FAIRsharing.93gy4v","name":"Listeria innocua and Listeria monocytogenes genomes database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/ListiList/","identifier":1920,"description":"ListiList is a database dedicated to the analysis of the genomes of the food-borne pathogen, Listeria monocytogenes, and its non-pathogenic relative, Listeria innocua. Its purpose is to collate and integrate various aspects of the genomic information from L. monocytogenes, a paradigm for bacterial-host interactions.","abbreviation":"ListiList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/ListiList/help/general.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000385","bsg-d000385"],"name":"FAIRsharing record for: Listeria innocua and Listeria monocytogenes genomes database","abbreviation":"ListiList","url":"https://fairsharing.org/10.25504/FAIRsharing.93gy4v","doi":"10.25504/FAIRsharing.93gy4v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ListiList is a database dedicated to the analysis of the genomes of the food-borne pathogen, Listeria monocytogenes, and its non-pathogenic relative, Listeria innocua. Its purpose is to collate and integrate various aspects of the genomic information from L. monocytogenes, a paradigm for bacterial-host interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Listeria monocytogenes"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1199,"fairsharing_record_id":1920,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:59.448Z","updated_at":"2021-09-30T09:24:59.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1200,"fairsharing_record_id":1920,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.475Z","updated_at":"2021-09-30T09:24:59.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1921","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:14.822Z","metadata":{"doi":"10.25504/FAIRsharing.pmz447","name":"Mycoplasma pulmonis genome database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"moszer@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/MypuList/","identifier":1921,"description":"Its purpose is to collate and integrate various aspects of the genomic information from M. pulmonis, a mollicute causal agent of murine respiratory mycoplasmosis. MypuList provides a complete dataset of DNA and protein sequences derived from the strain M. pulmonis UAB CTIP, linked to the relevant annotations and functional assignments.","abbreviation":"MypuList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/MypuList/help/general.html","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","associated_tools":[{"url":"http://genolist.pasteur.fr/MypuList/help/blast-search.html","name":"BLAST"}],"deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000386","bsg-d000386"],"name":"FAIRsharing record for: Mycoplasma pulmonis genome database","abbreviation":"MypuList","url":"https://fairsharing.org/10.25504/FAIRsharing.pmz447","doi":"10.25504/FAIRsharing.pmz447","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Its purpose is to collate and integrate various aspects of the genomic information from M. pulmonis, a mollicute causal agent of murine respiratory mycoplasmosis. MypuList provides a complete dataset of DNA and protein sequences derived from the strain M. pulmonis UAB CTIP, linked to the relevant annotations and functional assignments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Structure","Protein","Genome"],"taxonomies":["Mycoplasma pulmonis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1201,"fairsharing_record_id":1921,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.498Z","updated_at":"2021-09-30T09:24:59.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1922","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.849Z","metadata":{"doi":"10.25504/FAIRsharing.9ppftz","name":"Photorhabdus luminescens genome database","status":"deprecated","contacts":[{"contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/PhotoList/","identifier":1922,"description":"PhotoList, contains a database dedicated to the analysis of the genome of Photorhabdus luminescens. This analysis has been described in: \"The genome sequence of the entomopathogenic bacterium Photorhabdus luminescens\"","abbreviation":"PhotoList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/PhotoList/help/general.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://genolist.pasteur.fr/PhotoList/help/blast-search.html","name":"BLAST"}],"deprecation_date":"2018-04-10","deprecation_reason":"Deprecated by Allyson Lister. Deprecation confirmed via resource homepage, which asks users to use GenoList instead.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000387","bsg-d000387"],"name":"FAIRsharing record for: Photorhabdus luminescens genome database","abbreviation":"PhotoList","url":"https://fairsharing.org/10.25504/FAIRsharing.9ppftz","doi":"10.25504/FAIRsharing.9ppftz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhotoList, contains a database dedicated to the analysis of the genome of Photorhabdus luminescens. This analysis has been described in: \"The genome sequence of the entomopathogenic bacterium Photorhabdus luminescens\"","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Photorhabdus luminescens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1203,"fairsharing_record_id":1922,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.549Z","updated_at":"2021-09-30T09:24:59.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1202,"fairsharing_record_id":1922,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.524Z","updated_at":"2021-09-30T09:24:59.524Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1923","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.930Z","metadata":{"doi":"10.25504/FAIRsharing.x54ymh","name":"Streptococcus agalactiae NEM316 / Serotype III genome database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"pglaser@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/SagaList/","identifier":1923,"description":"SagaList contains a database dedicated to the analysis of the genomes of the food-borne pathogen, Streptococcus agalactiae.","abbreviation":"SagaList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/SagaList/help/general.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000388","bsg-d000388"],"name":"FAIRsharing record for: Streptococcus agalactiae NEM316 / Serotype III genome database","abbreviation":"SagaList","url":"https://fairsharing.org/10.25504/FAIRsharing.x54ymh","doi":"10.25504/FAIRsharing.x54ymh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SagaList contains a database dedicated to the analysis of the genomes of the food-borne pathogen, Streptococcus agalactiae.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Streptococcus agalactiae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1206,"fairsharing_record_id":1923,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.648Z","updated_at":"2021-09-30T09:24:59.648Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1204,"fairsharing_record_id":1923,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:59.580Z","updated_at":"2021-09-30T09:24:59.580Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1205,"fairsharing_record_id":1923,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.619Z","updated_at":"2021-09-30T09:24:59.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1928","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:11.899Z","metadata":{"doi":"10.25504/FAIRsharing.5f5mfm","name":"Bactibase: database dedicated to bacteriocins","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"admin@pfba-lab-tun.org"}],"homepage":"http://bactibase.hammamilab.org/main.php","citations":[],"identifier":1928,"description":"BACTIBASE contains calculated or predicted physicochemical properties of bacteriocins produced by both Gram-positive and Gram-negative bacteria. The information in this database is very easy to extract and allows rapid prediction of relationships structure/function and target organisms of these peptides and therefore better exploitation of their biological activity in both the medical and food sectors.","abbreviation":"BACTIBASE","data_curation":{"type":"not found"},"support_links":[{"url":"http://bactibase.pfba-lab-tun.org/contacts.php","type":"Contact form"},{"url":"http://bactibase.pfba-lab-tun.org/faq.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"no","associated_tools":[{"url":"http://bactibase.pfba-lab-tun.org/blast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012755","name":"re3data:r3d100012755","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006694","name":"SciCrunch:RRID:SCR_006694","portal":"SciCrunch"}],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000393","bsg-d000393"],"name":"FAIRsharing record for: Bactibase: database dedicated to bacteriocins","abbreviation":"BACTIBASE","url":"https://fairsharing.org/10.25504/FAIRsharing.5f5mfm","doi":"10.25504/FAIRsharing.5f5mfm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BACTIBASE contains calculated or predicted physicochemical properties of bacteriocins produced by both Gram-positive and Gram-negative bacteria. The information in this database is very easy to extract and allows rapid prediction of relationships structure/function and target organisms of these peptides and therefore better exploitation of their biological activity in both the medical and food sectors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":425,"pubmed_id":20105292,"title":"BACTIBASE second release: a database and tool platform for bacteriocin characterization.","year":2010,"url":"http://doi.org/10.1186/1471-2180-10-22","authors":"Hammami R., Zouhir A., Le Lay C., Ben Hamida J., Fliss I.,","journal":"BMC Microbiol.","doi":"10.1186/1471-2180-10-22","created_at":"2021-09-30T08:23:06.183Z","updated_at":"2021-09-30T08:23:06.183Z"},{"id":1612,"pubmed_id":17941971,"title":"BACTIBASE: a new web-accessible database for bacteriocin characterization.","year":2007,"url":"http://doi.org/10.1186/1471-2180-7-89","authors":"Hammami R,Zouhir A,Ben Hamida J,Fliss I","journal":"BMC Microbiol","doi":"10.1186/1471-2180-7-89","created_at":"2021-09-30T08:25:20.677Z","updated_at":"2021-09-30T08:25:20.677Z"}],"licence_links":[{"licence_name":"BACTIBASE Terms of Use","licence_id":54,"licence_url":"http://bactibase.pfba-lab-tun.org/terms.php","link_id":1064,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1069,"relation":"undefined"}],"grants":[{"id":1216,"fairsharing_record_id":1928,"organisation_id":1690,"relation":"maintains","created_at":"2021-09-30T09:24:59.917Z","updated_at":"2021-09-30T09:24:59.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":1690,"name":"Laval University, Quebec, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1217,"fairsharing_record_id":1928,"organisation_id":1247,"relation":"maintains","created_at":"2021-09-30T09:24:59.940Z","updated_at":"2021-09-30T09:24:59.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1247,"name":"Higher Institute of Applied Biological Sciences of Tunis (ISSBAT), Tunis, Tunisia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1929","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-16T15:44:16.984Z","metadata":{"doi":"10.25504/FAIRsharing.xxdxtv","name":"Human Proteinpedia","status":"deprecated","contacts":[{"contact_name":"Pandey Akhilesh","contact_email":"pandey.akhilesh@mayo.edu","contact_orcid":null}],"homepage":"http://www.humanproteinpedia.org/","citations":[],"identifier":1929,"description":"Human Proteinpedia is a community portal for sharing and integration of human protein data. It allows research laboratories to contribute and maintain protein annotations. ","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://pdas.hprd.org/help","type":"Contact form"},{"url":"http://www.humanproteinpedia.org/FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010985","name":"re3data:r3d100010985","portal":"re3data"}],"deprecation_date":"2022-12-02","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000394","bsg-d000394"],"name":"FAIRsharing record for: Human Proteinpedia","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xxdxtv","doi":"10.25504/FAIRsharing.xxdxtv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Human Proteinpedia is a community portal for sharing and integration of human protein data. It allows research laboratories to contribute and maintain protein annotations. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":418,"pubmed_id":18948298,"title":"Human Proteinpedia: a unified discovery resource for proteomics research.","year":2008,"url":"http://doi.org/10.1093/nar/gkn701","authors":"Kandasamy K., Keerthikumar S., Goel R., Mathivanan S., Patankar N., Shafreen B., Renuse S., Pawar H., Ramachandra YL., Acharya PK., Ranganathan P., Chaerkady R., Keshava Prasad TS., Pandey A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn701","created_at":"2021-09-30T08:23:05.452Z","updated_at":"2021-09-30T08:23:05.452Z"}],"licence_links":[],"grants":[{"id":1219,"fairsharing_record_id":1929,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:59.991Z","updated_at":"2021-09-30T09:31:58.535Z","grant_id":1412,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54 RR020839","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9337,"fairsharing_record_id":1929,"organisation_id":1402,"relation":"maintains","created_at":"2022-04-11T12:07:31.358Z","updated_at":"2022-04-11T12:07:31.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":1402,"name":"Institute of Bioinformatics, Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1930","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:08.642Z","metadata":{"doi":"10.25504/FAIRsharing.y2qws7","name":"Human Protein Reference Database","status":"deprecated","contacts":[{"contact_name":"Akhilesh Pandey","contact_email":"pandey.akhilesh@mayo.edu","contact_orcid":"0000-0001-9943-6127"}],"homepage":"http://www.hprd.org/","citations":[],"identifier":1930,"description":"The Human Protein Reference Database represents a centralized platform to visually depict and integrate information pertaining to domain architecture, post-translational modifications, interaction networks and disease association for each protein in the human proteome.","abbreviation":"HPRD","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hprd.org/help","type":"Contact form"},{"url":"http://www.hprd.org/FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/Human_Protein_Reference_Database","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://www.hprd.org/blast_page","name":"BLAST"},{"url":"http://www.hprd.org/query","name":"search"},{"url":"http://www.hprd.org/blast_page","name":"BLAST"},{"url":"http://www.hprd.org/query","name":"search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010978","name":"re3data:r3d100010978","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007027","name":"SciCrunch:RRID:SCR_007027","portal":"SciCrunch"}],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000395","bsg-d000395"],"name":"FAIRsharing record for: Human Protein Reference Database","abbreviation":"HPRD","url":"https://fairsharing.org/10.25504/FAIRsharing.y2qws7","doi":"10.25504/FAIRsharing.y2qws7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Protein Reference Database represents a centralized platform to visually depict and integrate information pertaining to domain architecture, post-translational modifications, interaction networks and disease association for each protein in the human proteome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Structure","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India","United States"],"publications":[{"id":1347,"pubmed_id":18988627,"title":"Human Protein Reference Database--2009 update.","year":2008,"url":"http://doi.org/10.1093/nar/gkn892","authors":"Keshava Prasad TS., Goel R., Kandasamy K., Keerthikumar S., Kumar S., Mathivanan S., Telikicherla D., Raju R., Shafreen B., Venugopal A., Balakrishnan L., Marimuthu A., Banerjee S., Somanathan DS., Sebastian A., Rani S., Ray S., Harrys Kishore CJ., Kanth S., Ahmed M., Kashyap MK., Mohmood R., Ramachandra YL., Krishna V., Rahiman BA., Mohan S., Ranganathan P., Ramabadran S., Chaerkady R., Pandey A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn892","created_at":"2021-09-30T08:24:50.752Z","updated_at":"2021-09-30T08:24:50.752Z"}],"licence_links":[],"grants":[{"id":9336,"fairsharing_record_id":1930,"organisation_id":1402,"relation":"maintains","created_at":"2022-04-11T12:07:31.287Z","updated_at":"2022-04-11T12:07:31.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":1402,"name":"Institute of Bioinformatics, Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1931","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-07T10:08:25.771Z","metadata":{"doi":"10.25504/FAIRsharing.g6kz6h","name":"Infevers","status":"ready","contacts":[{"contact_name":"Project Manager","contact_email":"florian.milhavet@inserm.fr","contact_orcid":null}],"homepage":"https://infevers.umai-montpellier.fr/web/","citations":[],"identifier":1931,"description":"A registry of Hereditary Auto-inflammatory Disorder Mutations.","abbreviation":"Infevers","data_curation":{"url":"https://infevers.umai-montpellier.fr/web/instructions_for_use.php","type":"manual","notes":"data depositors instructions"},"support_links":[{"url":"https://infevers.umai-montpellier.fr/web/contact.php?n=56","type":"Contact form"},{"url":"https://infevers.umai-montpellier.fr/web/instructions_for_use.php","type":"Help documentation"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010548","name":"re3data:r3d100010548","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007738","name":"SciCrunch:RRID:SCR_007738","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkg031","type":"open","notes":"See Data Processes and Conditions"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000396","bsg-d000396"],"name":"FAIRsharing record for: Infevers","abbreviation":"Infevers","url":"https://fairsharing.org/10.25504/FAIRsharing.g6kz6h","doi":"10.25504/FAIRsharing.g6kz6h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A registry of Hereditary Auto-inflammatory Disorder Mutations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Inflammatory response","Mutation analysis","Mutation","Genetic polymorphism","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":251,"pubmed_id":12520003,"title":"INFEVERS: the Registry for FMF and hereditary inflammatory disorders mutations.","year":2003,"url":"http://doi.org/10.1093/nar/gkg031","authors":"Sarrauste de Menthière C., Terrière S., Pugnère D., Ruiz M., Demaille J., Touitou I.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg031","created_at":"2021-09-30T08:22:47.098Z","updated_at":"2021-09-30T08:22:47.098Z"},{"id":408,"pubmed_id":18409191,"title":"The infevers autoinflammatory mutation online registry: update with new genes and functions.","year":2008,"url":"http://doi.org/10.1002/humu.20720","authors":"Milhavet F., Cuisset L., Hoffman HM., Slim R., El-Shanti H., Aksentijevich I., Lesage S., Waterham H., Wise C., Sarrauste de Menthiere C., Touitou I.,","journal":"Hum. Mutat.","doi":"10.1002/humu.20720","created_at":"2021-09-30T08:23:04.325Z","updated_at":"2021-09-30T08:23:04.325Z"}],"licence_links":[{"licence_name":"Infevers General conditions of use","licence_id":439,"licence_url":"https://infevers.umai-montpellier.fr/web/conditons.html","link_id":587,"relation":"undefined"},{"licence_name":"Infevers Instructions for use","licence_id":440,"licence_url":"https://infevers.umai-montpellier.fr/web/instructions_for_use.php","link_id":583,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":584,"relation":"undefined"}],"grants":[{"id":1221,"fairsharing_record_id":1931,"organisation_id":1417,"relation":"maintains","created_at":"2021-09-30T09:25:00.041Z","updated_at":"2021-09-30T09:25:00.041Z","grant_id":null,"is_lead":false,"saved_state":{"id":1417,"name":"Institute of Human Genetics (IGH), Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11760,"fairsharing_record_id":1931,"organisation_id":4359,"relation":"funds","created_at":"2024-05-06T08:40:11.125Z","updated_at":"2024-05-06T08:40:11.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":4359,"name":"The International Society of Systemic Auto-Inflammatory Diseases","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1904","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-26T10:01:44.149Z","metadata":{"doi":"10.25504/FAIRsharing.dt9z89","name":"DisProt","status":"ready","contacts":[{"contact_name":"Silvio C.E. Tosatto","contact_email":"silvio.tosatto@unipd.it","contact_orcid":"0000-0003-4525-7793"}],"homepage":"https://disprot.org/","citations":[{"doi":"10.1093/nar/gkw1056","pubmed_id":27899601,"publication_id":1919},{"doi":"10.1093/nar/gkz975","pubmed_id":31713636,"publication_id":1920},{"doi":"10.1093/nar/gkab1082","pubmed_id":null,"publication_id":3415}],"identifier":1904,"description":"The Database of Protein Disorder (DisProt) is a curated database that provides information about intrinsically disordered proteins that lack fixed 3D structure in their putatively native states, either in their entirety or in part. Disordered regions are manually curated from literature. DisProt annotations cover both structural and functional aspects of disorder detected by specific experimental methods.","abbreviation":"DisProt","data_curation":{"url":"https://disprot.org/biocuration","type":"manual"},"support_links":[{"url":"https://disprot.github.io/","name":"DisProt Blog","type":"Github"},{"url":"disprot@ngp-net.bio.unipd.it","name":"General Contact","type":"Support email"},{"url":"https://disprot.org/help","name":"Help","type":"Help documentation"},{"url":"https://disprot.org/about","name":"About","type":"Help documentation"},{"url":"https://disprot.org/release-notes","name":"Release Notes","type":"Help documentation"},{"url":"https://twitter.com/disprot_db","name":"@disprot_db","type":"Twitter"}],"year_creation":2006,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010561","name":"re3data:r3d100010561","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007097","name":"SciCrunch:RRID:SCR_007097","portal":"SciCrunch"}],"data_access_condition":{"url":"https://disprot.org/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled","notes":"Data drawn from literature"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000369","bsg-d000369"],"name":"FAIRsharing record for: DisProt","abbreviation":"DisProt","url":"https://fairsharing.org/10.25504/FAIRsharing.dt9z89","doi":"10.25504/FAIRsharing.dt9z89","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Protein Disorder (DisProt) is a curated database that provides information about intrinsically disordered proteins that lack fixed 3D structure in their putatively native states, either in their entirety or in part. Disordered regions are manually curated from literature. DisProt annotations cover both structural and functional aspects of disorder detected by specific experimental methods.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11526},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12648}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology","Biomedical Science","Biology"],"domains":["Protein structure","Disease","Intrinsically disordered proteins","Protein","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":424,"pubmed_id":17145717,"title":"DisProt: the Database of Disordered Proteins.","year":2006,"url":"http://doi.org/10.1093/nar/gkl893","authors":"Sickmeier M., Hamilton JA., LeGall T., Vacic V., Cortese MS., Tantos A., Szabo B., Tompa P., Chen J., Uversky VN., Obradovic Z., Dunker AK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl893","created_at":"2021-09-30T08:23:06.075Z","updated_at":"2021-09-30T08:23:06.075Z"},{"id":1919,"pubmed_id":27899601,"title":"DisProt 7.0: a major update of the database of disordered proteins.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1056","authors":"Piovesan D,Tabaro F,Micetic I et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1056","created_at":"2021-09-30T08:25:55.954Z","updated_at":"2021-09-30T11:29:23.978Z"},{"id":1920,"pubmed_id":31713636,"title":"DisProt: intrinsic protein disorder annotation in 2020.","year":2019,"url":"http://doi.org/10.1093/nar/gkz975","authors":"Hatos A,Hajdu-Soltesz B,Monzon AM et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz975","created_at":"2021-09-30T08:25:56.051Z","updated_at":"2021-09-30T11:29:24.077Z"},{"id":3415,"pubmed_id":null,"title":"DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1082","authors":"Quaglia, Federica; Mészáros, Bálint; Salladini, Edoardo; Hatos, András; Pancsa, Rita; Chemes, Lucía B; Pajkos, Mátyás; Lazar, Tamas; Peña-Díaz, Samuel; Santos, Jaime; Ács, Veronika; Farahi, Nazanin; Fichó, Erzsébet; Aspromonte, Maria Cristina; Bassot, Claudio; Chasapi, Anastasia; Davey, Norman E; Davidović, Radoslav; Dobson, Laszlo; Elofsson, Arne; Erdős, Gábor; Gaudet, Pascale; Giglio, Michelle; Glavina, Juliana; Iserte, Javier; Iglesias, Valentín; Kálmán, Zsófia; Lambrughi, Matteo; Leonardi, Emanuela; Longhi, Sonia; Macedo-Ribeiro, Sandra; Maiani, Emiliano; Marchetti, Julia; Marino-Buslje, Cristina; Mészáros, Attila; Monzon, Alexander Miguel; Minervini, Giovanni; Nadendla, Suvarna; Nilsson, Juliet F; Novotný, Marian; Ouzounis, Christos A; Palopoli, Nicolás; Papaleo, Elena; Pereira, Pedro José Barbosa; Pozzati, Gabriele; Promponas, Vasilis J; Pujols, Jordi; Rocha, Alma Carolina Sanchez; Salas, Martin; Sawicki, Luciana Rodriguez; Schad, Eva; Shenoy, Aditi; Szaniszló, Tamás; Tsirigos, Konstantinos D; Veljkovic, Nevena; Parisi, Gustavo; Ventura, Salvador; Dosztányi, Zsuzsanna; Tompa, Peter; Tosatto, Silvio C E; Piovesan, Damiano; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1082","created_at":"2022-05-26T08:42:53.580Z","updated_at":"2022-05-26T08:42:53.580Z"},{"id":4296,"pubmed_id":37904585,"title":"DisProt in 2024: improving function annotation of intrinsically disordered proteins.","year":2024,"url":"https://doi.org/10.1093/nar/gkad928","authors":"Aspromonte MC, Nugnes MV, Quaglia F, Bouharoua A, DisProt Consortium, Tosatto SCE, Piovesan D","journal":"Nucleic acids research","doi":"10.1093/nar/gkad928","created_at":"2024-06-24T11:19:11.391Z","updated_at":"2024-06-24T11:19:11.391Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2440,"relation":"undefined"}],"grants":[{"id":1160,"fairsharing_record_id":1904,"organisation_id":2175,"relation":"funds","created_at":"2021-09-30T09:24:58.138Z","updated_at":"2021-09-30T09:24:58.138Z","grant_id":null,"is_lead":false,"saved_state":{"id":2175,"name":"Non-Globular Proteins-net (NGP-net), Padova, Italy","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1161,"fairsharing_record_id":1904,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:58.168Z","updated_at":"2021-09-30T09:24:58.168Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1159,"fairsharing_record_id":1904,"organisation_id":3001,"relation":"maintains","created_at":"2021-09-30T09:24:58.115Z","updated_at":"2022-10-20T14:45:38.203Z","grant_id":null,"is_lead":true,"saved_state":{"id":3001,"name":"University of Padua","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1162,"fairsharing_record_id":1904,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:24:58.207Z","updated_at":"2021-09-30T09:32:12.063Z","grant_id":1513,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","grant":"778247","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZXc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ce333deb845c2c22f31a600d5f86c7627e01aa1d/disprotlogo.png?disposition=inline","exhaustive_licences":false}},{"id":"1911","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:27:38.245Z","metadata":{"doi":"10.25504/FAIRsharing.c3kchy","name":"SpodoBase","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"spodobase@ensam.inra.fr"}],"homepage":"http://www.spodobase.univ-montp2.fr/Spodobase/","citations":[],"identifier":1911,"description":"SpodoBase is an integrated database for the genomics of the Lepidoptera Spodoptera frugiperda. It is a publicly available structured database with insect pest sequences which will allow identification of a number of genes and comprehensive cloning of gene families of interest for the scientific community.","abbreviation":"SpodoBase","data_curation":{"type":"not found"},"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://bioweb.ensam.inra.fr/Spodopterav3/blast","name":"BLAST"}],"deprecation_date":"2023-03-20","deprecation_reason":"The database seems still there, but the FAIRsharing team can no longer access the data or assess its quality so we have deprecated the record. Please get in touch if you have any information. \n","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000376","bsg-d000376"],"name":"FAIRsharing record for: SpodoBase","abbreviation":"SpodoBase","url":"https://fairsharing.org/10.25504/FAIRsharing.c3kchy","doi":"10.25504/FAIRsharing.c3kchy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SpodoBase is an integrated database for the genomics of the Lepidoptera Spodoptera frugiperda. It is a publicly available structured database with insect pest sequences which will allow identification of a number of genes and comprehensive cloning of gene families of interest for the scientific community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Spodoptera frugiperda"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":407,"pubmed_id":16796757,"title":"SPODOBASE: an EST database for the lepidopteran crop pest Spodoptera.","year":2006,"url":"http://doi.org/10.1186/1471-2105-7-322","authors":"Nègre V., Hôtelier T., Volkoff AN., Gimenez S., Cousserans F., Mita K., Sabau X., Rocher J., López-Ferber M., d'Alençon E., Audant P., Sabourault C., Bidegainberry V., Hilliou F., Fournier P.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-322","created_at":"2021-09-30T08:23:04.217Z","updated_at":"2021-09-30T08:23:04.217Z"}],"licence_links":[],"grants":[{"id":1179,"fairsharing_record_id":1911,"organisation_id":2008,"relation":"maintains","created_at":"2021-09-30T09:24:58.750Z","updated_at":"2021-09-30T09:24:58.750Z","grant_id":null,"is_lead":false,"saved_state":{"id":2008,"name":"National Institute of Agrobiological Sciences (NIAS), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1177,"fairsharing_record_id":1911,"organisation_id":3101,"relation":"funds","created_at":"2021-09-30T09:24:58.678Z","updated_at":"2021-09-30T09:24:58.678Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1178,"fairsharing_record_id":1911,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:24:58.717Z","updated_at":"2021-09-30T09:24:58.717Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1912","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-25T17:07:28.102Z","metadata":{"doi":"10.25504/FAIRsharing.pmg2vd","name":"GenAtlas","status":"ready","contacts":[{"contact_name":"Alexandra Caude","contact_email":"alexandra.caude@inserm.fr"}],"homepage":"http://genatlas.medecine.univ-paris5.fr/","citations":[{"doi":"10.1016/s0764-4469(99)80021-3","pubmed_id":9835018,"publication_id":413}],"identifier":1912,"description":"GenAtlas is a database containing information on human genes, markers and phenotypes. It provides information on the structure, expression and function of genes, gene mutations and their consequences on diseases. Ontologies used for annotation are constructed to allow a classification in three sub-databases: gene, phenotypes and selected references.","abbreviation":null,"data_curation":{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=1","type":"manual"},"support_links":[{"url":"http://genatlas.medecine.univ-paris5.fr/Help.html","name":"Help","type":"Help documentation"},{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=1","name":"About","type":"Help documentation"},{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=2","name":"Getting Started","type":"Help documentation"}],"year_creation":1986,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=5","type":"not applicable","notes":"Curators manually add new data; if you are interested in deposition, then please contact them."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000377","bsg-d000377"],"name":"FAIRsharing record for: GenAtlas","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pmg2vd","doi":"10.25504/FAIRsharing.pmg2vd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenAtlas is a database containing information on human genes, markers and phenotypes. It provides information on the structure, expression and function of genes, gene mutations and their consequences on diseases. Ontologies used for annotation are constructed to allow a classification in three sub-databases: gene, phenotypes and selected references.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Phenotype","Disorder","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":413,"pubmed_id":9835018,"title":"Genatlas database, genes and development defects","year":1998,"url":"http://doi.org/10.1016/s0764-4469(99)80021-3","authors":"Frézal J.,","journal":"C. R. Acad. Sci. III, Sci. Vie","doi":"10.1016/s0764-4469(99)80021-3","created_at":"2021-09-30T08:23:04.866Z","updated_at":"2021-09-30T08:23:04.866Z"},{"id":1510,"pubmed_id":10444337,"title":"Human genes involved in chromatin remodeling in transcription initiation, and associated diseases: An overview using the GENAtlas database","year":1999,"url":"http://doi.org/10.1006/mgme.1999.2867","authors":"Roux-Rouquie M., Chauvet ML., Munnich A., Frezal J.,","journal":"Mol. Genet. Metab.","doi":"10.1006/mgme.1999.2867","created_at":"2021-09-30T08:25:09.044Z","updated_at":"2021-09-30T08:25:09.044Z"}],"licence_links":[],"grants":[{"id":10667,"fairsharing_record_id":1912,"organisation_id":4022,"relation":"maintains","created_at":"2023-06-14T10:52:00.456Z","updated_at":"2023-06-14T10:52:00.456Z","grant_id":null,"is_lead":true,"saved_state":{"id":4022,"name":"Imagine Institute for Genetic Diseases","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1181,"fairsharing_record_id":1912,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:24:58.834Z","updated_at":"2021-09-30T09:24:58.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbm9FIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1dde8e41920f3121c98bbf7e0b18a55b8ebe113e/Screenshot%20from%202024-06-25%2008-40-47.png?disposition=inline","exhaustive_licences":false}},{"id":"1913","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:18.561Z","metadata":{"doi":"10.25504/FAIRsharing.vk3v6s","name":"GermOnline","status":"ready","contacts":[{"contact_name":"Michael Primig","contact_email":"michael.primig@inserm.fr"}],"homepage":"http://www.germonline.org/index.html","identifier":1913,"description":"GermOnline is a cross-species database gateway focusing on high-throughput expression data relevant for germline development, the meiotic cell cycle and mitosis in healthy versus malignant cells. The portal provides access to the Saccharomyces Genomics Viewer (SGV) which facilitates online interpretation of complex data from experiments with high-density oligonucleotide tiling microarrays that cover the entire yeast genome.","abbreviation":"GermOnline","data_curation":{"type":"not found"},"support_links":[{"url":"http://wiki.germonline.org/doku.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.germonline.org/gol_4_userguide.pdf","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010248","name":"re3data:r3d100010248","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002807","name":"SciCrunch:RRID:SCR_002807","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000378","bsg-d000378"],"name":"FAIRsharing record for: GermOnline","abbreviation":"GermOnline","url":"https://fairsharing.org/10.25504/FAIRsharing.vk3v6s","doi":"10.25504/FAIRsharing.vk3v6s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GermOnline is a cross-species database gateway focusing on high-throughput expression data relevant for germline development, the meiotic cell cycle and mitosis in healthy versus malignant cells. The portal provides access to the Saccharomyces Genomics Viewer (SGV) which facilitates online interpretation of complex data from experiments with high-density oligonucleotide tiling microarrays that cover the entire yeast genome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Meiosis I","Meiosis II","Gene"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Macaca mulatta","Mus musculus","Pan troglodytes","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":417,"pubmed_id":21149299,"title":"GermOnline 4.0 is a genomics gateway for germline development, meiosis and the mitotic cell cycle.","year":2010,"url":"http://doi.org/10.1093/database/baq030","authors":"Lardenois A., Gattiker A., Collin O., Chalmel F., Primig M.,","journal":"Database (Oxford)","doi":"10.1093/database/baq030","created_at":"2021-09-30T08:23:05.308Z","updated_at":"2021-09-30T08:23:05.308Z"}],"licence_links":[],"grants":[{"id":1182,"fairsharing_record_id":1913,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:24:58.866Z","updated_at":"2021-09-30T09:24:58.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1924","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-16T18:58:58.327Z","metadata":{"doi":"10.25504/FAIRsharing.40j2vd","name":"Bacillus subtilis strain 168 genome","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"moszer@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/SubtiList/","citations":[],"identifier":1924,"description":"Its purpose is to collate and integrate various aspects of the genomic information from B. subtilis, the paradigm of sporulating Gram-positive bacteria. SubtiList provides a complete dataset of DNA and protein sequences derived from the paradigm strain B. subtilis 168, linked to the relevant annotations and functional assignments","abbreviation":"SubtiList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/SubtiList/help/general.html","type":"Help documentation"}],"year_creation":1996,"data_versioning":"not found","associated_tools":[{"url":"http://genolist.pasteur.fr/SubtiList/help/blast-search.html","name":"BLAST"}],"deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000389","bsg-d000389"],"name":"FAIRsharing record for: Bacillus subtilis strain 168 genome","abbreviation":"SubtiList","url":"https://fairsharing.org/10.25504/FAIRsharing.40j2vd","doi":"10.25504/FAIRsharing.40j2vd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Its purpose is to collate and integrate various aspects of the genomic information from B. subtilis, the paradigm of sporulating Gram-positive bacteria. SubtiList provides a complete dataset of DNA and protein sequences derived from the paradigm strain B. subtilis 168, linked to the relevant annotations and functional assignments","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Bacillus subtilis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1207,"fairsharing_record_id":1924,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:59.679Z","updated_at":"2021-09-30T09:24:59.679Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1208,"fairsharing_record_id":1924,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.708Z","updated_at":"2021-09-30T09:24:59.708Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1209,"fairsharing_record_id":1924,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.733Z","updated_at":"2021-09-30T09:24:59.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1925","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:17:01.320Z","metadata":{"doi":"10.25504/FAIRsharing.rxe7z2","name":"PDZBase","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"pdzbase@med.cornell.edu"}],"homepage":"http://abc.med.cornell.edu/pdzbase","identifier":1925,"description":"PDZBase is a manually curated protein-protein interaction database developed specifically for interactions involving PDZ domains. PDZBase currently contains 339 experimentally determined protein protein interactions.","abbreviation":"PDZBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://icb.med.cornell.edu/crt/PDZBase/index.xml","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000390","bsg-d000390"],"name":"FAIRsharing record for: PDZBase","abbreviation":"PDZBase","url":"https://fairsharing.org/10.25504/FAIRsharing.rxe7z2","doi":"10.25504/FAIRsharing.rxe7z2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDZBase is a manually curated protein-protein interaction database developed specifically for interactions involving PDZ domains. PDZBase currently contains 339 experimentally determined protein protein interactions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12652}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Protein domain","Protein interaction","Ligand","Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2122,"pubmed_id":15513994,"title":"PDZBase: a protein-protein interaction database for PDZ-domains.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bti098","authors":"Beuming T., Skrabanek L., Niv MY., Mukherjee P., Weinstein H.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti098","created_at":"2021-09-30T08:26:19.233Z","updated_at":"2021-09-30T08:26:19.233Z"}],"licence_links":[],"grants":[{"id":1210,"fairsharing_record_id":1925,"organisation_id":580,"relation":"maintains","created_at":"2021-09-30T09:24:59.757Z","updated_at":"2021-09-30T09:24:59.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":580,"name":"Computational Biology Ph.D. Program, Cornell University, Ithaca, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1211,"fairsharing_record_id":1925,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:59.782Z","updated_at":"2021-09-30T09:28:55.518Z","grant_id":18,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P01 DA12923","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8099,"fairsharing_record_id":1925,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:57.079Z","updated_at":"2021-09-30T09:30:57.133Z","grant_id":949,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"K05 DA00060","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8436,"fairsharing_record_id":1925,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:38.769Z","updated_at":"2021-09-30T09:32:38.817Z","grant_id":1715,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P01 DA124080","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1926","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:42:38.279Z","metadata":{"doi":"10.25504/FAIRsharing.fh5zm7","name":"Signaling Pathway Information System","status":"deprecated","contacts":[{"contact_email":"fac2003@med.cornell.edu"}],"homepage":"http://icb.med.cornell.edu/crt/SigPath/index.xml","identifier":1926,"description":"SigPath is an information system designed to support quantitative studies on the signaling pathways and networks of the cell.A primary emphasis of SigPath is that biochemical information is stored with the details required to make possible quantitative modeling of specific aspects of the cellular machinery. A second emphasis of the system is that SigPath provides user-friendly ways to submit information.","abbreviation":"SigPath","data_curation":{"type":"not found"},"support_links":[{"url":"http://icb.med.cornell.edu/crt/SigPath/index.xml","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2015-07-28","deprecation_reason":"This resource is no longer maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000391","bsg-d000391"],"name":"FAIRsharing record for: Signaling Pathway Information System","abbreviation":"SigPath","url":"https://fairsharing.org/10.25504/FAIRsharing.fh5zm7","doi":"10.25504/FAIRsharing.fh5zm7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SigPath is an information system designed to support quantitative studies on the signaling pathways and networks of the cell.A primary emphasis of SigPath is that biochemical information is stored with the details required to make possible quantitative modeling of specific aspects of the cellular machinery. A second emphasis of the system is that SigPath provides user-friendly ways to submit information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Network model","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1254,"relation":"undefined"}],"grants":[{"id":1212,"fairsharing_record_id":1926,"organisation_id":580,"relation":"maintains","created_at":"2021-09-30T09:24:59.807Z","updated_at":"2021-09-30T09:24:59.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":580,"name":"Computational Biology Ph.D. Program, Cornell University, Ithaca, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1932","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:11:00.156Z","metadata":{"doi":"10.25504/FAIRsharing.v8se8r","name":"MycoBank","status":"ready","contacts":[{"contact_name":"Vincent Robert","contact_email":"v.robert@wi.knaw.nl"}],"homepage":"http://www.mycobank.org","citations":[],"identifier":1932,"description":"MycoBank was created for the mycological community (as well as scientific community more generally) to document new mycological names, combinations and associated data (such as descriptions and illustrations). Pairwise sequence alignments and polyphasic identifications of fungi and yeasts against curated references databases are available. Nomenclatural experts will be available to check the validity, legitimacy and linguistic correctness of the proposed names in order to avoid nomenclatural error. Deposited names can remain confidential until after publication as required. Once public, the names are accessible through MycoBank, Index Fungorum, GBIF and other international biodiversity initiatives, where they will further be linked to other databases. MycoBank will (when applicable) provide onward links to other databases containing, for example, living cultures, DNA data, reference specimens and pleomorphic names linked to the same holomorph. Authors intending to publish nomenclatural novelties are encouraged to contribute.","abbreviation":"MycoBank","data_curation":{"url":"https://www.mycobank.org/FAQ_and_help","type":"manual"},"support_links":[{"url":"https://www.mycobank.org/news","name":"News","type":"Blog/News"},{"url":"https://www.mycobank.org/page/Contact","name":"Contact Mycobank","type":"Contact form"},{"url":"https://www.mycobank.org/page/FAQ_and_help","name":"FAQ and Help","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.mycobank.org/forum","name":"Forum","type":"Forum"},{"url":"https://www.mycobank.org/page/Stats%20page","name":"Statistics","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011222","name":"re3data:r3d100011222","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004950","name":"SciCrunch:RRID:SCR_004950","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.mycobank.org/page/Registration%20home","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000397","bsg-d000397"],"name":"FAIRsharing record for: MycoBank","abbreviation":"MycoBank","url":"https://fairsharing.org/10.25504/FAIRsharing.v8se8r","doi":"10.25504/FAIRsharing.v8se8r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MycoBank was created for the mycological community (as well as scientific community more generally) to document new mycological names, combinations and associated data (such as descriptions and illustrations). Pairwise sequence alignments and polyphasic identifications of fungi and yeasts against curated references databases are available. Nomenclatural experts will be available to check the validity, legitimacy and linguistic correctness of the proposed names in order to avoid nomenclatural error. Deposited names can remain confidential until after publication as required. Once public, the names are accessible through MycoBank, Index Fungorum, GBIF and other international biodiversity initiatives, where they will further be linked to other databases. MycoBank will (when applicable) provide onward links to other databases containing, for example, living cultures, DNA data, reference specimens and pleomorphic names linked to the same holomorph. Authors intending to publish nomenclatural novelties are encouraged to contribute.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13564}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Biology"],"domains":["Taxonomic classification","Nucleotide","Sequence alignment","Classification"],"taxonomies":["Fungi"],"user_defined_tags":["Mycology"],"countries":["Netherlands"],"publications":[{"id":1631,"pubmed_id":24563843,"title":"MycoBank gearing up for new horizons.","year":2014,"url":"http://doi.org/10.5598/imafungus.2013.04.02.16","authors":"Robert V,Vu D,Amor AB,van de Wiele N, et al.","journal":"IMA Fungus","doi":"10.5598/imafungus.2013.04.02.16","created_at":"2021-09-30T08:25:22.753Z","updated_at":"2021-09-30T08:25:22.753Z"},{"id":2860,"pubmed_id":null,"title":"MycoBank: an online initiative to launch mycology into the 21st century","year":2004,"url":"https://studiesinmycology.org/sim/Sim50/003-MycoBank_an_online_initiative_to_launch_mycology_into_the_21st_century.pdf","authors":"Crous PW, Gams W, Stalpers JA, Robert V and Stegehuis G","journal":"Studies in Mycology","doi":null,"created_at":"2021-09-30T08:27:51.848Z","updated_at":"2021-09-30T08:27:51.848Z"}],"licence_links":[],"grants":[{"id":1226,"fairsharing_record_id":1932,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:00.167Z","updated_at":"2021-09-30T09:25:00.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1225,"fairsharing_record_id":1932,"organisation_id":1502,"relation":"maintains","created_at":"2021-09-30T09:25:00.141Z","updated_at":"2021-09-30T09:25:00.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1502,"name":"International Mycological Association (IMA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1223,"fairsharing_record_id":1932,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:00.091Z","updated_at":"2021-09-30T09:25:00.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8684,"fairsharing_record_id":1932,"organisation_id":3280,"relation":"associated_with","created_at":"2022-01-06T14:34:44.150Z","updated_at":"2022-01-06T14:34:44.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":3280,"name":"MIRRI Microbial Resource Research Infrastructure","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1222,"fairsharing_record_id":1932,"organisation_id":797,"relation":"funds","created_at":"2021-09-30T09:25:00.067Z","updated_at":"2021-09-30T09:25:00.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":797,"name":"Dutch Ministry of Education Culture and Science (OCW), the Netherlands","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1224,"fairsharing_record_id":1932,"organisation_id":1994,"relation":"funds","created_at":"2021-09-30T09:25:00.117Z","updated_at":"2021-09-30T09:25:00.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":1994,"name":"National Health and Medical Research Council (NHMRC), Australia","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1927","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:57:45.094Z","metadata":{"doi":"10.25504/FAIRsharing.dvyrsz","name":"PeptideAtlas","status":"ready","contacts":[{"contact_name":"Eric W. Deutsch","contact_email":"edeutsch@systemsbiology.org","contact_orcid":"0000-0001-8732-0928"}],"homepage":"http://www.peptideatlas.org","identifier":1927,"description":"The PeptideAtlas Project provides a publicly-accessible database of peptides identified in tandem mass spectrometry proteomics studies and software tools. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and sequence and spectral library searches are applied. Analyses are performed to produce a probability of correct identification for all results in a uniform manner, together with false discovery rates at the whole-atlas level.","abbreviation":"PeptideAtlas","data_curation":{"type":"manual","notes":"submission metadata form at user interface"},"support_links":[{"url":"http://www.peptideatlas.org/feedback.php","name":"Contact Form","type":"Contact form"},{"url":"http://www.peptideatlas.org/public/faq.php","name":"Peptide Atlas FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010889","name":"re3data:r3d100010889","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006783","name":"SciCrunch:RRID:SCR_006783","portal":"SciCrunch"}],"data_access_condition":{"url":"https://peptideatlas.org/faq.php","type":"open","notes":"PeptideAtlas allows minimum public access (private) via user erquest"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://db.systemsbiology.net/sbeams/cgi/PeptideAtlas/PASS_Submit","type":"controlled","notes":"requires registration; allows only data type-specific deposits for SRM experimental results from analysis of biological samples."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000392","bsg-d000392"],"name":"FAIRsharing record for: PeptideAtlas","abbreviation":"PeptideAtlas","url":"https://fairsharing.org/10.25504/FAIRsharing.dvyrsz","doi":"10.25504/FAIRsharing.dvyrsz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PeptideAtlas Project provides a publicly-accessible database of peptides identified in tandem mass spectrometry proteomics studies and software tools. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and sequence and spectral library searches are applied. Analyses are performed to produce a probability of correct identification for all results in a uniform manner, together with false discovery rates at the whole-atlas level.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10768},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10944},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11061},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15064}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Molecular structure","Mass spectrum","Annotation","Structure","Protein"],"taxonomies":["Apis","Bos taurus","Caenorhabditis elegans","Candida","Danio rerio","Drosophila","Equus caballus","Halobacteria","Homo sapiens","Leptospira interrogans","Mus musculus","Rattus rattus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Streptococcus","Sus scrofa"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":419,"pubmed_id":18451766,"title":"PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows.","year":2008,"url":"http://doi.org/10.1038/embor.2008.56","authors":"Deutsch EW, Lam H, Aebersold R.","journal":"EMBO Rep.","doi":"10.1038/embor.2008.56.","created_at":"2021-09-30T08:23:05.559Z","updated_at":"2021-09-30T08:23:05.559Z"},{"id":740,"pubmed_id":16381952,"title":"The PeptideAtlas project","year":2005,"url":"http://doi.org/10.1093/nar/gkj040","authors":"Desiere F, Deutsch EW, King NL, Nesvizhskii AI, Mallick P, Eng J, Chen S, Eddes J, Loevenich SN, Aebersold R.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj040","created_at":"2021-09-30T08:23:41.503Z","updated_at":"2021-09-30T08:23:41.503Z"}],"licence_links":[{"licence_name":"Peptide Atlas Availability Statement","licence_id":655,"licence_url":"http://www.peptideatlas.org/public/faq.php","link_id":2375,"relation":"undefined"}],"grants":[{"id":1213,"fairsharing_record_id":1927,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:24:59.840Z","updated_at":"2021-09-30T09:24:59.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1214,"fairsharing_record_id":1927,"organisation_id":2537,"relation":"maintains","created_at":"2021-09-30T09:24:59.866Z","updated_at":"2021-09-30T09:24:59.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":2537,"name":"Seattle Proteome Center","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1215,"fairsharing_record_id":1927,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:24:59.890Z","updated_at":"2021-09-30T09:31:13.234Z","grant_id":1070,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01-HV-28179","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1945","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:34:54.010Z","metadata":{"doi":"10.25504/FAIRsharing.j0t0pe","name":"The Human Protein Atlas","status":"ready","contacts":[{"contact_name":"Mathias Uhlen","contact_email":"mathias.uhlen@scilifelab.se","contact_orcid":"0000-0002-4858-8056"}],"homepage":"https://www.proteinatlas.org/","citations":[{"doi":"10.1126/science.1260419","pubmed_id":25613900,"publication_id":780}],"identifier":1945,"description":"The Human Protein Atlas (HPA) portal is a publicly available database with millions of high-resolution images showing the spatial distribution of proteins in a number of different wild-type tissues, single cell types, cancer types and human cell lines. The goal of the HPA is to map all the human proteins in cells, tissues and organs using an integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics and systems biology. The HPA portal is composed of twelve parts: the Tissue section, the Brain section, the Single Cell Type section, the Tissue cell type section, the Pathology section, the Disease section, the Immune cell section, the Blood protein section, the Subcellular section, the Cell line section, the Structure section, and the Interaction section.","abbreviation":"HPA","data_curation":{"url":"https://www.proteinatlas.org/about/releases","type":"manual/automated","notes":"Protein Atlas Release History"},"support_links":[{"url":"https://www.proteinatlas.org/news","name":"News","type":"Blog/News"},{"url":"https://www.proteinatlas.org/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ProteinAtlas","name":"@ProteinAtlas","type":"Twitter"},{"url":"contact@proteinatlas.org","name":"Help Contact","type":"Support email"},{"url":"https://www.proteinatlas.org/about/help#FAQ","name":"Questions \u0026 FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.proteinatlas.org/learn/videos","name":"Learning Videos","type":"Video"}],"year_creation":2003,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010931","name":"re3data:r3d100010931","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006710","name":"SciCrunch:RRID:SCR_006710","portal":"SciCrunch"}],"data_access_condition":{"url":"https://v13.proteinatlas.org/about/datausage","type":"open","notes":"Data Usage Policy"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.proteinatlas.org/about/submission","type":"open","notes":"The Human Protein Atlas project invites submission of antibodies from both academic and commercial sources"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000411","bsg-d000411"],"name":"FAIRsharing record for: The Human Protein Atlas","abbreviation":"HPA","url":"https://fairsharing.org/10.25504/FAIRsharing.j0t0pe","doi":"10.25504/FAIRsharing.j0t0pe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Protein Atlas (HPA) portal is a publicly available database with millions of high-resolution images showing the spatial distribution of proteins in a number of different wild-type tissues, single cell types, cancer types and human cell lines. The goal of the HPA is to map all the human proteins in cells, tissues and organs using an integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics and systems biology. The HPA portal is composed of twelve parts: the Tissue section, the Brain section, the Single Cell Type section, the Tissue cell type section, the Pathology section, the Disease section, the Immune cell section, the Blood protein section, the Subcellular section, the Cell line section, the Structure section, and the Interaction section.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18221},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11220},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11350},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11528},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11844},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12655},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15065}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Transcriptomics","Biomedical Science","Systems Biology"],"domains":["Molecular structure","Bioimaging","Medical imaging","Cell line","Cancer","Protein localization","Gene expression","Antibody","Cellular localization","Protein expression","Mass spectrometry assay","Structure","Protein","Blood","Tissue","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Sweden"],"publications":[{"id":16,"pubmed_id":18669619,"title":"A genecentric Human Protein Atlas for expression profiles based on antibodies.","year":2008,"url":"http://doi.org/10.1074/mcp.R800013-MCP200","authors":"Berglund L., Björling E., Oksvold P., Fagerberg L., Asplund A., Szigyarto CA., Persson A., Ottosson J., Wernérus H., Nilsson P., Lundberg E., Sivertsson A., Navani S., Wester K., Kampf C., Hober S., Pontén F., Uhlén M.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.R800013-MCP200","created_at":"2021-09-30T08:22:22.179Z","updated_at":"2021-09-30T08:22:22.179Z"},{"id":637,"pubmed_id":18853439,"title":"The Human Protein Atlas--a tool for pathology.","year":2008,"url":"http://doi.org/10.1002/path.2440","authors":"Ponten F,Jirstrom K,Uhlen M","journal":"J Pathol","doi":"10.1002/path.2440","created_at":"2021-09-30T08:23:30.129Z","updated_at":"2021-09-30T08:23:30.129Z"},{"id":654,"pubmed_id":27044256,"title":"Transcriptomics resources of human tissues and organs.","year":2016,"url":"http://doi.org/10.15252/msb.20155865","authors":"Uhlen M,Hallstrom BM,Lindskog C,Mardinoglu A,Ponten F,Nielsen J","journal":"Mol Syst Biol","doi":"10.15252/msb.20155865","created_at":"2021-09-30T08:23:32.186Z","updated_at":"2021-09-30T08:23:32.186Z"},{"id":780,"pubmed_id":25613900,"title":"Tissue-based map of the human proteome.","year":2015,"url":"http://doi.org/10.1126/science.1260419","authors":"Uhlen M,Fagerberg L,Hallstrom BM et al.","journal":"Science","doi":"10.1126/science.1260419","created_at":"2021-09-30T08:23:45.944Z","updated_at":"2021-09-30T08:23:45.944Z"},{"id":825,"pubmed_id":28818916,"title":"A pathology atlas of the human cancer transcriptome","year":2017,"url":"http://doi.org/eaan2507","authors":"Mathias Uhlen, Cheng Zhang, Sunjae Lee et al.","journal":"Science","doi":"10.1126/science.aan2507","created_at":"2021-09-30T08:23:50.946Z","updated_at":"2021-09-30T08:23:50.946Z"},{"id":1982,"pubmed_id":21139605,"title":"Towards a knowledge-based Human Protein Atlas.","year":2010,"url":"http://doi.org/10.1038/nbt1210-1248","authors":"Uhlen M,Oksvold P,Fagerberg L,Lundberg E,Jonasson K,Forsberg M,Zwahlen M,Kampf C,Wester K,Hober S,Wernerus H,Bjorling L,Ponten F","journal":"Nat Biotechnol","doi":"10.1038/nbt1210-1248","created_at":"2021-09-30T08:26:03.057Z","updated_at":"2021-09-30T08:26:03.057Z"},{"id":2076,"pubmed_id":16127175,"title":"A human protein atlas for normal and cancer tissues based on antibody proteomics.","year":2005,"url":"http://doi.org/10.1074/mcp.M500279-MCP200","authors":"Uhlen M,Bjorling E,Agaton C et al.","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.M500279-MCP200","created_at":"2021-09-30T08:26:14.057Z","updated_at":"2021-09-30T08:26:14.057Z"},{"id":2470,"pubmed_id":28495876,"title":"A subcellular map of the human proteome.","year":2017,"url":"http://doi.org/eaal3321","authors":"Thul PJ,Akesson L,Wiking M et al.","journal":"Science","doi":"eaal3321","created_at":"2021-09-30T08:27:02.902Z","updated_at":"2021-09-30T08:27:02.902Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":918,"relation":"undefined"},{"licence_name":"HPA Licence and Citation","licence_id":402,"licence_url":"https://www.proteinatlas.org/about/licence","link_id":929,"relation":"undefined"}],"grants":[{"id":1262,"fairsharing_record_id":1945,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:25:01.234Z","updated_at":"2021-09-30T09:25:01.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1261,"fairsharing_record_id":1945,"organisation_id":2795,"relation":"funds","created_at":"2021-09-30T09:25:01.204Z","updated_at":"2021-09-30T09:25:01.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":2795,"name":"The Knut and Alice Wallenberg Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1263,"fairsharing_record_id":1945,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:25:01.258Z","updated_at":"2021-09-30T09:25:01.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1264,"fairsharing_record_id":1945,"organisation_id":1651,"relation":"maintains","created_at":"2021-09-30T09:25:01.289Z","updated_at":"2021-09-30T09:25:01.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":1651,"name":"KTH Royal Institute of Technology, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdWdDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--102e396bff776211a35c9c5edb423a80c1237953/hpa_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1946","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:58.123Z","metadata":{"doi":"10.25504/FAIRsharing.wkaakq","name":"Protein Model Database","status":"ready","contacts":[{"contact_name":"Anna Tramontano","contact_email":"anna.tramontano@uniroma1.it"}],"homepage":"http://srv00.recas.ba.infn.it/PMDB/main.php","citations":[{"doi":"10.1093/nar/gkj105","pubmed_id":16381873,"publication_id":439}],"identifier":1946,"description":"The Protein Model DataBase (PMDB) is a database that stores three dimensional protein models obtained by structure prediction techniques.","abbreviation":"PMDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://srv00.recas.ba.infn.it/PMDB/my_news.php","name":"News","type":"Blog/News"},{"url":"hpc-service-bio@cineca.it","name":"hpc-service-bio@cineca.it","type":"Support email"},{"url":"info@biocomputing.it","name":"info@biocomputing.it","type":"Support email"},{"url":"http://srv00.recas.ba.infn.it/PMDB/help.php","name":"Help Page","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","data_access_condition":{"url":"http://srv00.recas.ba.infn.it/PMDB/help.php","type":"open","notes":"Access to the repository is free."},"data_contact_information":"not found","data_deposition_condition":{"url":"http://srv00.recas.ba.infn.it/PMDB/help.php","type":"open","notes":"Free registration is only required to deposit models."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000412","bsg-d000412"],"name":"FAIRsharing record for: Protein Model Database","abbreviation":"PMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.wkaakq","doi":"10.25504/FAIRsharing.wkaakq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Model DataBase (PMDB) is a database that stores three dimensional protein models obtained by structure prediction techniques.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12656}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","Protein structure","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":439,"pubmed_id":16381873,"title":"The PMDB Protein Model Database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj105","authors":"Castrignanò T., De Meo PD., Cozzetto D., Talamo IG., Tramontano A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj105","created_at":"2021-09-30T08:23:07.684Z","updated_at":"2021-09-30T08:23:07.684Z"}],"licence_links":[{"licence_name":"PMDB Attribution required","licence_id":673,"licence_url":"http://srv00.recas.ba.infn.it/PMDB/help.php","link_id":1311,"relation":"undefined"}],"grants":[{"id":1265,"fairsharing_record_id":1946,"organisation_id":2492,"relation":"funds","created_at":"2021-09-30T09:25:01.331Z","updated_at":"2021-09-30T09:25:01.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":2492,"name":"Sapienza University of Rome, Rome, Italy","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1266,"fairsharing_record_id":1946,"organisation_id":522,"relation":"maintains","created_at":"2021-09-30T09:25:01.372Z","updated_at":"2021-09-30T09:25:01.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":522,"name":"CINECA, Bologna, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1267,"fairsharing_record_id":1946,"organisation_id":274,"relation":"funds","created_at":"2021-09-30T09:25:01.410Z","updated_at":"2021-09-30T09:31:28.258Z","grant_id":1183,"is_lead":false,"saved_state":{"id":274,"name":"BioSapiens Network of Excellence, Europe","grant":"LHSG-CT-203-503265","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1947","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:44:49.838Z","metadata":{"doi":"10.25504/FAIRsharing.bpxgb6","name":"Greengenes","status":"deprecated","contacts":[{"contact_name":"Gary L Andersen","contact_email":"GLAndersen@lbl.gov","contact_orcid":"0000-0002-1618-9827"}],"homepage":"http://greengenes.lbl.gov","citations":[],"identifier":1947,"description":"A 16S rRNA gene database which provides chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. Please note that this is a downloadable resource only, without an interactive web interface.","abbreviation":"Greengenes","data_curation":{"url":"https://greengenes.lbl.gov/Download/FAQS/index.htm#quickly","type":"automated"},"support_links":[{"url":"http://greengenes.lbl.gov/Download/Tutorial/FAQ.htm","type":"Frequently Asked Questions (FAQs)"},{"url":"https://greengenes.lbl.gov/Download/Tutorial/Tutorial_19Dec05.pdf","name":"Tutorial","type":"Training documentation"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010549","name":"re3data:r3d100010549","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002830","name":"SciCrunch:RRID:SCR_002830","portal":"SciCrunch"}],"deprecation_date":"2024-05-09","deprecation_reason":"This record can no longer be considered a database, but the files remain available for download. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000413","bsg-d000413"],"name":"FAIRsharing record for: Greengenes","abbreviation":"Greengenes","url":"https://fairsharing.org/10.25504/FAIRsharing.bpxgb6","doi":"10.25504/FAIRsharing.bpxgb6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A 16S rRNA gene database which provides chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. Please note that this is a downloadable resource only, without an interactive web interface.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Ribonucleic acid","Recombinant DNA","Sequence alignment","16S rRNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":442,"pubmed_id":16820507,"title":"Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.","year":2006,"url":"http://doi.org/10.1128/AEM.03006-05","authors":"DeSantis TZ., Hugenholtz P., Larsen N., Rojas M., Brodie EL., Keller K., Huber T., Dalevi D., Hu P., Andersen GL.,","journal":"Appl. Environ. Microbiol.","doi":"10.1128/AEM.03006-05","created_at":"2021-09-30T08:23:07.983Z","updated_at":"2021-09-30T08:23:07.983Z"}],"licence_links":[],"grants":[{"id":1269,"fairsharing_record_id":1947,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:25:01.487Z","updated_at":"2021-09-30T09:25:01.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9395,"fairsharing_record_id":1947,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.528Z","updated_at":"2022-04-11T12:07:35.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1933","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:31:40.695Z","metadata":{"doi":"10.25504/FAIRsharing.f1dv0","name":"IUPHAR/BPS Guide to PHARMACOLOGY","status":"ready","contacts":[{"contact_name":"Jamie Davies","contact_email":"jamie.davies@ed.ac.uk"},{"contact_name":"Simon Harding","contact_email":"simon.harding@igmm.ed.ac.uk","contact_orcid":"0000-0002-9262-8318"}],"homepage":"https://www.guidetopharmacology.org","citations":[{"doi":"10.1093/nar/gkab1010","pubmed_id":34718737,"publication_id":3130}],"identifier":1933,"description":"The information in the database is presented at two levels: the initial view or landing pages for each target family provide expert-curated overviews of the key properties and selective ligands and tool compounds available. For selected targets more detailed introductory chapters for each family are available along with curated information on the pharmacological, physiological, structural, genetic and pathophysiogical properties of each target. Recent extensions to the database provide specific portals for accessing data on immunopharmacology (IUPHAR Guide to IMMUNOPHARMACOLOGY; www.guidetoimmunopharmacology.org), and on malaria pharmacology (IUPHAR/MMV Guide to MALARIA PHARMACOLOGY; www.guidetomalariapharmacology.org). The database is enhanced with hyperlinks to additional information in other databases including Ensembl, UniProt, PubChem and ChEMBL, as well as curated chemical information and literature citations in PubMed.","abbreviation":"Guide to Pharmacology","data_curation":{"url":"https://www.guidetopharmacology.org/helpPage.jsp","type":"manual","notes":"Target pages are modelled on IUPHAR-DB pages, with expert-curated information on the nomenclature, genetic, structural, pharmacological, functional, physiological, and clinical properties."},"support_links":[{"url":"https://blog.guidetopharmacology.org/","name":"guidetopharmacology blog","type":"Blog/News"},{"url":"enquiries@guidetopharmacology.org","name":"enquiries@guidetopharmacology.org","type":"Support email"},{"url":"http://www.guidetopharmacology.org/faq.jsp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.guidetopharmacology.org/pdfs/termsAndSymbols.pdf","name":"Terms and Symbols","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/nomenclature.jsp","name":"Nomenclature Guidelines","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/about.jsp","name":"About the Site","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/news.jsp","name":"Latest News","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/GuidetoPHARMACOLOGY_Tutorial.pdf","name":"Tutorial","type":"Training documentation"},{"url":"https://twitter.com/GuidetoPHARM","name":"@GuidetoPHARM","type":"Twitter"},{"url":"https://www.guidetopharmacology.org/helpPage.jsp","name":"Help Page","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013308","name":"re3data:r3d100013308","portal":"re3data"}],"data_access_condition":{"url":"https://www.guidetopharmacology.org/helpPage.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000398","bsg-d000398"],"name":"FAIRsharing record for: IUPHAR/BPS Guide to PHARMACOLOGY","abbreviation":"Guide to Pharmacology","url":"https://fairsharing.org/10.25504/FAIRsharing.f1dv0","doi":"10.25504/FAIRsharing.f1dv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The information in the database is presented at two levels: the initial view or landing pages for each target family provide expert-curated overviews of the key properties and selective ligands and tool compounds available. For selected targets more detailed introductory chapters for each family are available along with curated information on the pharmacological, physiological, structural, genetic and pathophysiogical properties of each target. Recent extensions to the database provide specific portals for accessing data on immunopharmacology (IUPHAR Guide to IMMUNOPHARMACOLOGY; www.guidetoimmunopharmacology.org), and on malaria pharmacology (IUPHAR/MMV Guide to MALARIA PHARMACOLOGY; www.guidetomalariapharmacology.org). The database is enhanced with hyperlinks to additional information in other databases including Ensembl, UniProt, PubChem and ChEMBL, as well as curated chemical information and literature citations in PubMed.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18224},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11349},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11527},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12146},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12306},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12653}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunology","Pharmacology","Life Science"],"domains":["Channel","Ligand","Malaria","Receptor","Drug interaction","Literature curation","Target"],"taxonomies":["Homo sapiens","Mus musculus","Plasmodium falciparum","Rattus"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":91,"pubmed_id":26464438,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1037","authors":"Southan C,Sharman JL,Benson HE,Faccenda E,Pawson AJ,Alexander SP,Buneman OP,Davenport AP,McGrath JC,Peters JA,Spedding M,Catterall WA,Fabbro D,Davies JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1037","created_at":"2021-09-30T08:22:30.370Z","updated_at":"2021-09-30T11:28:42.433Z"},{"id":1757,"pubmed_id":31691834,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY in 2020: extending immunopharmacology content and introducing the IUPHAR/MMV Guide to MALARIA PHARMACOLOGY.","year":2019,"url":"http://doi.org/10.1093/nar/gkz951","authors":"Armstrong JF,Faccenda E,Harding SD,Pawson AJ,Southan C,Sharman JL,Campo B,Cavanagh DR,Alexander SPH,Davenport AP,Spedding M,Davies JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz951","created_at":"2021-09-30T08:25:37.167Z","updated_at":"2021-09-30T11:29:20.035Z"},{"id":2582,"pubmed_id":24234439,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY: an expert-driven knowledgebase of drug targets and their ligands.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1143","authors":"Pawson AJ,Sharman JL,Benson HE,Faccenda E,Alexander SP,Buneman OP,Davenport AP,McGrath JC,Peters JA,Southan C,Spedding M,Yu W,Harmar AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1143","created_at":"2021-09-30T08:27:16.601Z","updated_at":"2021-09-30T11:29:39.910Z"},{"id":2853,"pubmed_id":29149325,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY in 2018: updates and expansion to encompass the new guide to IMMUNOPHARMACOLOGY.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1121","authors":"Harding SD,Sharman JL,Faccenda E,Southan C,Pawson AJ,Ireland S,Gray AJG,Bruce L,Alexander SPH,Anderton S,Bryant C,Davenport AP,Doerig C,Fabbro D,Levi-Schaffer F,Spedding M,Davies JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1121","created_at":"2021-09-30T08:27:50.963Z","updated_at":"2021-09-30T11:29:47.414Z"},{"id":3130,"pubmed_id":34718737,"title":"The IUPHAR/BPS guide to PHARMACOLOGY in 2022: curating pharmacology for COVID-19, malaria and antibacterials.","year":2021,"url":"https://doi.org/10.1093/nar/gkab1010","authors":"Harding SD, Armstrong JF, Faccenda E, Southan C, Alexander SPH, Davenport AP, Pawson AJ, Spedding M, Davies JA, NC-IUPHAR.","journal":"Nucleic acids research","doi":"10.1093/nar/gkab1010","created_at":"2021-11-12T12:36:32.635Z","updated_at":"2021-11-12T12:36:32.635Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":505,"relation":"undefined"},{"licence_name":"IUPHAR/BPS Guide to PHARMACOLOGY Attribution required","licence_id":465,"licence_url":"https://www.guidetopharmacology.org/citing.jsp","link_id":504,"relation":"undefined"}],"grants":[{"id":1229,"fairsharing_record_id":1933,"organisation_id":320,"relation":"funds","created_at":"2021-09-30T09:25:00.257Z","updated_at":"2021-09-30T09:25:00.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":320,"name":"British Pharmacological Society","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1227,"fairsharing_record_id":1933,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:00.208Z","updated_at":"2021-09-30T09:29:01.302Z","grant_id":58,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"099156/Z/12/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1228,"fairsharing_record_id":1933,"organisation_id":1532,"relation":"maintains","created_at":"2021-09-30T09:25:00.232Z","updated_at":"2021-09-30T09:25:00.232Z","grant_id":null,"is_lead":true,"saved_state":{"id":1532,"name":"International Union of Basic and Clinical Pharmacology","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1934","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:05.260Z","metadata":{"doi":"10.25504/FAIRsharing.z4agsr","name":"SoyBase","status":"ready","contacts":[{"contact_name":"Jacqueline Campbell","contact_email":"Jacqueline.Campbell@usda.gov","contact_orcid":"0000-0003-2787-3955"},{"contact_name":"Rex Nelson","contact_email":"rex.nelson@usda.gov","contact_orcid":"0000-0001-6222-3347"}],"homepage":"https://soybase.org/","citations":[],"identifier":1934,"description":"SoyBase, the USDA-ARS soybean genetic database, is a comprehensive repository for professionally curated genetics, genomics and related data resources for soybean. SoyBase contains genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. The quantitative trait loci (QTL) represent more than 18 years of QTL mapping of more than 90 unique traits. SoyBase also contains the well-annotated 'Williams 82' genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. SoyBase is the repository for controlled vocabularies for soybean growth, development and trait terms, which are also linked to the more general plant ontologies.","abbreviation":"SoyBase","data_curation":{"type":"manual/automated","notes":"SoyBase Curator (soybase@soybase.org)."},"support_links":[{"url":"http://bit.ly/SoyBase-Contact-Us","name":"https://soybase.org/include/antispam.php","type":"Contact form"},{"url":"https://soybase.org/tutorials/","name":"Help and Tutorials","type":"Help documentation"},{"url":"https://twitter.com/SoyBaseDatabase","name":"Twitter","type":"Twitter"}],"year_creation":1990,"data_versioning":"yes","associated_tools":[{"url":"https://soybase.org/tools.php","name":"Tools Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010846","name":"re3data:r3d100010846","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005096","name":"SciCrunch:RRID:SCR_005096","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.soybase.org/include/data_submission.php?menu=5","type":"open","notes":"Direct data submission is actively solicited."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000399","bsg-d000399"],"name":"FAIRsharing record for: SoyBase","abbreviation":"SoyBase","url":"https://fairsharing.org/10.25504/FAIRsharing.z4agsr","doi":"10.25504/FAIRsharing.z4agsr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SoyBase, the USDA-ARS soybean genetic database, is a comprehensive repository for professionally curated genetics, genomics and related data resources for soybean. SoyBase contains genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. The quantitative trait loci (QTL) represent more than 18 years of QTL mapping of more than 90 unique traits. SoyBase also contains the well-annotated 'Williams 82' genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. SoyBase is the repository for controlled vocabularies for soybean growth, development and trait terms, which are also linked to the more general plant ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11619}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Plant Breeding","Agriculture","Life Science","Comparative Genomics"],"domains":["Computational biological predictions","Differential gene expression analysis","Deoxyribonucleic acid","Image","Phenotype","Protein","Transposable element","Single nucleotide polymorphism","Quantitative trait loci","Genome"],"taxonomies":["Glycine max","Glycine soja"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1336,"pubmed_id":20008513,"title":"SoyBase, the USDA-ARS soybean genetics and genomics database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp798","authors":"Grant D., Nelson RT., Cannon SB., Shoemaker RC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp798","created_at":"2021-09-30T08:24:49.518Z","updated_at":"2021-09-30T08:24:49.518Z"},{"id":3898,"pubmed_id":null,"title":"SoyBase: A Comprehensive Database for Soybean Genetic and Genomic Data","year":2017,"url":"http://dx.doi.org/10.1007/978-3-319-64198-0_13","authors":"Grant, David; Nelson, Rex T.; ","journal":"The Soybean Genome","doi":"10.1007/978-3-319-64198-0_13","created_at":"2023-06-13T07:37:20.656Z","updated_at":"2023-06-13T07:37:20.656Z"}],"licence_links":[{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1567,"relation":"undefined"}],"grants":[{"id":1230,"fairsharing_record_id":1934,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:00.281Z","updated_at":"2021-09-30T09:25:00.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1231,"fairsharing_record_id":1934,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:25:00.307Z","updated_at":"2021-09-30T09:25:00.307Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBKZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1dc2d865fb87c062e4dd01f6d46e4de2a6044784/SoyBase_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1938","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:42.904Z","metadata":{"doi":"10.25504/FAIRsharing.xtq1xf","name":"TIGRFAMs","status":"ready","contacts":[{"contact_name":"Daniel H. Haft","contact_email":"haftdh@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genome/annotation_prok/tigrfams/","citations":[{"doi":"33270901","pubmed_id":33270901,"publication_id":2255}],"identifier":1938,"description":"TIGRFAMs is a collection of manually curated protein families focusing primarily on prokaryotic sequences.It consists of hidden Markov models (HMMs), multiple sequence alignments, Gene Ontology (GO) terminology, Enzyme Commission (EC) numbers, gene symbols, protein family names, descriptive text, cross-references to related models in TIGRFAMs and other databases, and pointers to literature. Originally developed at The Institute for Genomic Research (TIGR) and later at its successor, the J. Craig Venter Institute (JCVI), it is now maintained by the NCBI.","abbreviation":"TIGRFAMs","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/genome/annotation_prok/tigrfams/","type":"manual/automated"},"support_links":[{"url":"https://support.nlm.nih.gov/support/create-case/","name":"Contact Form","type":"Contact form"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/protfam/search.html","name":"Search Help","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000403","bsg-d000403"],"name":"FAIRsharing record for: TIGRFAMs","abbreviation":"TIGRFAMs","url":"https://fairsharing.org/10.25504/FAIRsharing.xtq1xf","doi":"10.25504/FAIRsharing.xtq1xf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TIGRFAMs is a collection of manually curated protein families focusing primarily on prokaryotic sequences.It consists of hidden Markov models (HMMs), multiple sequence alignments, Gene Ontology (GO) terminology, Enzyme Commission (EC) numbers, gene symbols, protein family names, descriptive text, cross-references to related models in TIGRFAMs and other databases, and pointers to literature. Originally developed at The Institute for Genomic Research (TIGR) and later at its successor, the J. Craig Venter Institute (JCVI), it is now maintained by the NCBI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Hidden Markov model","Multiple sequence alignment","Protein"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":398,"pubmed_id":23197656,"title":"TIGRFAMs and Genome Properties in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1234","authors":"Haft DH,Selengut JD,Richter RA,Harkins D,Basu MK,Beck E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1234","created_at":"2021-09-30T08:23:03.256Z","updated_at":"2021-09-30T11:28:46.317Z"},{"id":409,"pubmed_id":17151080,"title":"TIGRFAMs and Genome Properties: tools for the assignment of molecular function and biological process in prokaryotic genomes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1043","authors":"Selengut JD., Haft DH., Davidsen T., Ganapathy A., Gwinn-Giglio M., Nelson WC., Richter AR., White O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1043","created_at":"2021-09-30T08:23:04.426Z","updated_at":"2021-09-30T08:23:04.426Z"},{"id":2255,"pubmed_id":33270901,"title":"RefSeq: expanding the Prokaryotic Genome Annotation Pipeline reach with protein family model curation.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1105","authors":"Li W,O'Neill KR,Haft DH,DiCuccio M,Chetvernin V,Badretdin A,Coulouris G,Chitsaz F,Derbyshire MK,Durkin AS,Gonzales NR,Gwadz M,Lanczycki CJ,Song JS,Thanki N,Wang J,Yamashita RA,Yang M,Zheng C,Marchler-Bauer A,Thibaud-Nissen F","journal":"Nucleic Acids Research","doi":"33270901","created_at":"2021-09-30T08:26:34.213Z","updated_at":"2021-09-30T11:29:31.778Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":365,"relation":"undefined"}],"grants":[{"id":1242,"fairsharing_record_id":1938,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:00.698Z","updated_at":"2021-09-30T09:30:51.407Z","grant_id":904,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200900007C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1238,"fairsharing_record_id":1938,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:00.488Z","updated_at":"2021-09-30T09:25:00.488Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":1241,"fairsharing_record_id":1938,"organisation_id":1597,"relation":"undefined","created_at":"2021-09-30T09:25:00.656Z","updated_at":"2021-09-30T09:25:00.656Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":1240,"fairsharing_record_id":1938,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:00.615Z","updated_at":"2021-09-30T09:29:52.663Z","grant_id":447,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R01 HG004881","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1239,"fairsharing_record_id":1938,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:00.529Z","updated_at":"2021-09-30T09:30:13.929Z","grant_id":611,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0445826","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1237,"fairsharing_record_id":1938,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:25:00.457Z","updated_at":"2021-09-30T09:32:05.386Z","grant_id":1463,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-FG02-04ER63935","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8111,"fairsharing_record_id":1938,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:31:01.155Z","updated_at":"2021-09-30T09:31:01.278Z","grant_id":980,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN266200400038C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8428,"fairsharing_record_id":1938,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:32:35.801Z","updated_at":"2021-09-30T09:32:35.852Z","grant_id":1691,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01-AI30071","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1939","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T14:00:02.240Z","metadata":{"doi":"10.25504/FAIRsharing.29jzvb","name":"PSIbase","status":"deprecated","contacts":[{"contact_email":"biopark@kaist.ac.kr"}],"homepage":"http://psibase.kobic.re.kr/","citations":[],"identifier":1939,"description":"PSIbase is a molecular interaction database based on PSIMAP (PDB, SCOP) that focuses on structural interaction of proteins and their domains. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"PSIbase","data_curation":{"type":"not found"},"support_links":[{"url":"http://psibase.kobic.re.kr/index.cgi?cu","type":"Contact form"},{"url":"http://psibase.kobic.re.kr/index.cgi?h","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","associated_tools":[{"url":"http://psibase.kobic.re.kr/index.cgi?pls","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000405","bsg-d000405"],"name":"FAIRsharing record for: PSIbase","abbreviation":"PSIbase","url":"https://fairsharing.org/10.25504/FAIRsharing.29jzvb","doi":"10.25504/FAIRsharing.29jzvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PSIbase is a molecular interaction database based on PSIMAP (PDB, SCOP) that focuses on structural interaction of proteins and their domains. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Molecular structure","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":2445,"pubmed_id":15749693,"title":"PSIbase: a database of Protein Structural Interactome map (PSIMAP).","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti366","authors":"Gong S., Yoon G., Jang I., Bolser D., Dafas P., Schroeder M., Choi H., Cho Y., Han K., Lee S., Choi H., Lappe M., Holm L., Kim S., Oh D., Bhak J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti366","created_at":"2021-09-30T08:26:59.845Z","updated_at":"2021-09-30T08:26:59.845Z"}],"licence_links":[],"grants":[{"id":1243,"fairsharing_record_id":1939,"organisation_id":1645,"relation":"maintains","created_at":"2021-09-30T09:25:00.733Z","updated_at":"2021-09-30T09:25:00.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1645,"name":"Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1940","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:59:50.202Z","metadata":{"doi":"10.25504/FAIRsharing.h5f091","name":"BeetleBase","status":"deprecated","contacts":[{"contact_email":"beetlebs@ksu.edu"}],"homepage":"http://www.beetlebase.org/","identifier":1940,"description":"BeetleBase is a community resource for Tribolium genetics, genomics and developmental biology. The database is built on the Chado generic data model, and is able to store various types of data, ranging from genome sequences to mutant phenotypes.","abbreviation":"BeetleBase","data_curation":{"type":"not found"},"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://beetlebase.org/blast/blast.html","name":"BLAST"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000406","bsg-d000406"],"name":"FAIRsharing record for: BeetleBase","abbreviation":"BeetleBase","url":"https://fairsharing.org/10.25504/FAIRsharing.h5f091","doi":"10.25504/FAIRsharing.h5f091","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BeetleBase is a community resource for Tribolium genetics, genomics and developmental biology. The database is built on the Chado generic data model, and is able to store various types of data, ranging from genome sequences to mutant phenotypes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Computational Biology","Life Science"],"domains":["Nucleic acid sequence","DNA sequence data","Protein","Genome"],"taxonomies":["Tribolium castaneum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":416,"pubmed_id":19820115,"title":"BeetleBase in 2010: revisions to provide comprehensive genomic information for Tribolium castaneum.","year":2009,"url":"http://doi.org/10.1093/nar/gkp807","authors":"Kim HS., Murphy T., Xia J., Caragea D., Park Y., Beeman RW., Lorenzen MD., Butcher S., Manak JR., Brown SJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp807","created_at":"2021-09-30T08:23:05.208Z","updated_at":"2021-09-30T08:23:05.208Z"}],"licence_links":[],"grants":[{"id":1244,"fairsharing_record_id":1940,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:00.758Z","updated_at":"2021-09-30T09:31:29.211Z","grant_id":1191,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U54 HG003272","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1246,"fairsharing_record_id":1940,"organisation_id":1622,"relation":"maintains","created_at":"2021-09-30T09:25:00.815Z","updated_at":"2021-09-30T09:25:00.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1245,"fairsharing_record_id":1940,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:00.790Z","updated_at":"2021-09-30T09:30:34.764Z","grant_id":773,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"58-5430-3-338","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1247,"fairsharing_record_id":1940,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:00.841Z","updated_at":"2021-09-30T09:32:03.222Z","grant_id":1447,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P20 RR16475","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1942","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:17.529Z","metadata":{"doi":"10.25504/FAIRsharing.vdbagq","name":"ROdent Unidentified Gene-Encoded large proteins","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"rouge@kazusa.or.jp"}],"homepage":"http://www.kazusa.or.jp/rouge/","identifier":1942,"description":"The ROUGE protein database is a sister database of HUGE protein database which has accumulated the results of comprehensive sequence analysis of human long cDNAs (KIAA cDNAs). The ROUGE protein database has been created to publicize the information obtained from mouse homologues of the KIAA cDNAs (mKIAA cDNAs).","abbreviation":"ROUGE","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://www.kazusa.or.jp/rouge/fasta/fasta.html","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000408","bsg-d000408"],"name":"FAIRsharing record for: ROdent Unidentified Gene-Encoded large proteins","abbreviation":"ROUGE","url":"https://fairsharing.org/10.25504/FAIRsharing.vdbagq","doi":"10.25504/FAIRsharing.vdbagq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ROUGE protein database is a sister database of HUGE protein database which has accumulated the results of comprehensive sequence analysis of human long cDNAs (KIAA cDNAs). The ROUGE protein database has been created to publicize the information obtained from mouse homologues of the KIAA cDNAs (mKIAA cDNAs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Protein"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":403,"pubmed_id":14681467,"title":"HUGE: a database for human KIAA proteins, a 2004 update integrating HUGEppi and ROUGE.","year":2003,"url":"http://doi.org/10.1093/nar/gkh035","authors":"Kikuno R., Nagase T., Nakayama M., Koga H., Okazaki N., Nakajima D., Ohara O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh035","created_at":"2021-09-30T08:23:03.791Z","updated_at":"2021-09-30T08:23:03.791Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":668,"relation":"undefined"}],"grants":[{"id":1249,"fairsharing_record_id":1942,"organisation_id":1628,"relation":"maintains","created_at":"2021-09-30T09:25:00.891Z","updated_at":"2021-09-30T09:25:00.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":1628,"name":"Kazusa DNA Research Institute, Chiba, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1250,"fairsharing_record_id":1942,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:25:00.915Z","updated_at":"2021-09-30T09:25:00.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1935","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:46.766Z","metadata":{"doi":"10.25504/FAIRsharing.g2fjt2","name":"European Mouse Mutant Archive","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@infrafrontier.eu"}],"homepage":"https://www.infrafrontier.eu","citations":[{"doi":"10.1093/nar/gkp799","pubmed_id":19783817,"publication_id":2833}],"identifier":1935,"description":"The European Mouse Mutant Archive (EMMA) is a non-profit repository for the collection, archiving (via cryopreservation) and distribution of relevant mutant strains essential for basic biomedical research. The laboratory mouse is the most important mammalian model for studying genetic and multi-factorial diseases in man. Thus the work of EMMA will play a crucial role in exploiting the tremendous potential benefits to human health presented by the current research in mammalian genetics.","abbreviation":"EMMA","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.infrafrontier.eu/contact/","name":"INFRAFRONTIER/EMMA contact form","type":"Contact form"},{"url":"info@infrafrontier.eu","name":"General Enquiries","type":"Support email"},{"url":"https://www.infrafrontier.eu/emma/legal-questions/","name":"EMMA repository conditions and MTAs","type":"Help documentation"},{"url":"https://www.infrafrontier.eu/training-events/","name":"INFRAFRONTIER training and consulting services","type":"Training documentation"},{"url":"https://twitter.com/infrafrontierEU","name":"INFRAFRONTIER Twitter","type":"Twitter"},{"url":"https://www.infrafrontier.eu/emma/cryopreservation/#FAQs","name":"EMMA Cryopreservation FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.infrafrontier.eu/emma/strain-distribution/#FAQs","name":"EMMA Strain Distribution FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2009,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013578","name":"re3data:r3d100013578","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006136","name":"SciCrunch:RRID:SCR_006136","portal":"SciCrunch"}],"data_access_condition":{"url":"https://infrafrontier.eu/wp-content/uploads/EMMA-conditions-out_2021.pdf","type":"partially open","notes":"EMMA conditions for obtaining a strain from EMMA"},"resource_sustainability":{"url":"https://infrafrontier.eu/about-us/infrafrontier-partners/","name":"INFRAFRONTIER Partners"},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://infrafrontier.eu/wp-content/uploads/EMMA-conditions-in_2021.pdf","type":"controlled","notes":"EMMA conditions for depositing a strain at EMMA"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000400","bsg-d000400"],"name":"FAIRsharing record for: European Mouse Mutant Archive","abbreviation":"EMMA","url":"https://fairsharing.org/10.25504/FAIRsharing.g2fjt2","doi":"10.25504/FAIRsharing.g2fjt2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Mouse Mutant Archive (EMMA) is a non-profit repository for the collection, archiving (via cryopreservation) and distribution of relevant mutant strains essential for basic biomedical research. The laboratory mouse is the most important mammalian model for studying genetic and multi-factorial diseases in man. Thus the work of EMMA will play a crucial role in exploiting the tremendous potential benefits to human health presented by the current research in mammalian genetics.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12307},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12654},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13796},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14186}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Virology","Computational Biology","Life Science"],"domains":["Protein structure","Nucleic acid sequence","Model organism","Somatic mutation","Mutation analysis","Mutation","Gene knockout","Rare disease","Phenotype","Disease phenotype","CRISPR","Point mutation","Genetic disorder"],"taxonomies":["Mus musculus","Rattus norvegicus"],"user_defined_tags":["COVID-19","Mutants"],"countries":["European Union"],"publications":[{"id":2617,"pubmed_id":17709347,"title":"EMMA--the European mouse mutant archive.","year":2007,"url":"http://doi.org/10.1093/bfgp/elm018","authors":"Hagn M,Marschall S,Hrabe de Angelis M","journal":"Brief Funct Genomic Proteomic","doi":"10.1093/bfgp/elm018","created_at":"2021-09-30T08:27:21.255Z","updated_at":"2021-09-30T08:27:21.255Z"},{"id":2833,"pubmed_id":19783817,"title":"EMMA--mouse mutant resources for the international scientific community.","year":2009,"url":"http://doi.org/10.1093/nar/gkp799","authors":"Wilkinson P,Sengerova J,Matteoni R,Chen CK,Soulat G,Ureta-Vidal A,Fessele S,Hagn M,Massimi M,Pickford K,Butler RH,Marschall S,Mallon AM,Pickard A,Raspa M,Scavizzi F,Fray M,Larrigaldie V,Leyritz J,Birney E,Tocchini-Valentini GP,Brown S,Herault Y,Montoliu L,de Angelis MH,Smedley D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp799","created_at":"2021-09-30T08:27:48.503Z","updated_at":"2021-09-30T11:29:46.862Z"},{"id":3186,"pubmed_id":null,"title":"INFRAFRONTIER: a European resource for studying the functional basis of human disease","year":2016,"url":"http://dx.doi.org/10.1007/s00335-016-9642-y","authors":"Raess, Michael; undefined, undefined; de Castro, Ana Ambrosio; Gailus-Durner, Valérie; Fessele, Sabine; Hrabě de Angelis, Martin; ","journal":"Mamm Genome","doi":"10.1007/s00335-016-9642-y","created_at":"2022-01-17T17:57:41.494Z","updated_at":"2022-01-17T17:57:41.494Z"},{"id":3187,"pubmed_id":null,"title":"INFRAFRONTIER--providing mutant mouse resources as research tools for the international scientific community","year":2014,"url":"http://dx.doi.org/10.1093/nar/gku1193","authors":"undefined, undefined; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1193","created_at":"2022-01-17T17:58:01.850Z","updated_at":"2022-01-17T17:58:01.850Z"},{"id":3677,"pubmed_id":34328547,"title":"INFRAFRONTIER quality principles in systemic phenotyping","year":2022,"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913563/","authors":"Hilke Ehlich, Heather L Cater, Ann M Flenniken, Isabelle Goncalves Da Cruz, Anne-Marie Mura, Vasileios Ntafis, Michael Raess, Mohammed Selloum, Claudia Stoeger, Sarka Suchanova, Reetta Vuolteenaho, Steve D M Brown, Yann Hérault, Reetta Hinttala, Martin Hrabě de Angelis, George Kollias, Dimitris L Kontoyiannis, Bernard Malissen, Colin McKerlie, Radislav Sedláček, Sara E Wells, Ana Zarubica, Jan Rozman, Tania Sorg","journal":"Mammalian Genome","doi":"","created_at":"2022-11-07T09:11:18.923Z","updated_at":"2022-11-07T09:11:18.923Z"}],"licence_links":[{"licence_name":"EMMA repository conditions","licence_id":274,"licence_url":"https://www.infrafrontier.eu/procedures/legal-issues/emma-repository-conditions-and-mtas","link_id":675,"relation":"undefined"}],"grants":[{"id":1232,"fairsharing_record_id":1935,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:00.331Z","updated_at":"2021-09-30T09:25:00.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1233,"fairsharing_record_id":1935,"organisation_id":1347,"relation":"maintains","created_at":"2021-09-30T09:25:00.357Z","updated_at":"2021-09-30T09:25:00.357Z","grant_id":null,"is_lead":true,"saved_state":{"id":1347,"name":"Infrafrontier Research Infrastructure, Infrafrontier","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":1234,"fairsharing_record_id":1935,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:00.381Z","updated_at":"2021-09-30T09:25:00.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8727,"fairsharing_record_id":1935,"organisation_id":873,"relation":"funds","created_at":"2022-01-17T17:56:50.975Z","updated_at":"2022-01-17T17:56:50.975Z","grant_id":536,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","grant":"H2020-INFRAEOSC-2018-2 824087","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":10115,"fairsharing_record_id":1935,"organisation_id":834,"relation":"undefined","created_at":"2022-11-07T09:17:59.242Z","updated_at":"2022-11-07T09:17:59.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":834,"name":"European Joint Programme on Rare Diseases","types":["Undefined"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBSZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--716d8cec860b9845fdbc70c51bae8b55c8877ef4/emma_logo_slogan_4c_rgb.png?disposition=inline","exhaustive_licences":false}},{"id":"1937","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:59:50.050Z","metadata":{"doi":"10.25504/FAIRsharing.eyjkws","name":"Microbial Protein Interaction Database","status":"deprecated","contacts":[{"contact_name":"Johannes Goll","contact_email":"jgoll@jcvi.org"}],"homepage":"http://www.jcvi.org/mpidb/about.php","identifier":1937,"description":"The microbial protein interaction database (MPIDB) provides physical microbial interaction data. The interactions are manually curated from the literature or imported from other databases, and are linked to supporting experimental evidence, as well as evidences based on interaction conservation, protein complex membership, and 3D domain contacts. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"MPIDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.jcvi.org/mpidb/contact.php","type":"Contact form"},{"url":"http://www.jcvi.org/mpidb/help.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000402","bsg-d000402"],"name":"FAIRsharing record for: Microbial Protein Interaction Database","abbreviation":"MPIDB","url":"https://fairsharing.org/10.25504/FAIRsharing.eyjkws","doi":"10.25504/FAIRsharing.eyjkws","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The microbial protein interaction database (MPIDB) provides physical microbial interaction data. The interactions are manually curated from the literature or imported from other databases, and are linked to supporting experimental evidence, as well as evidences based on interaction conservation, protein complex membership, and 3D domain contacts. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Small molecule","Curated information","Protein"],"taxonomies":["Bacteria","Fungi"],"user_defined_tags":["Physical interaction"],"countries":["United States"],"publications":[{"id":402,"pubmed_id":18556668,"title":"MPIDB: the microbial protein interaction database.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn285","authors":"Goll J., Rajagopala SV., Shiau SC., Wu H., Lamb BT., Uetz P.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn285","created_at":"2021-09-30T08:23:03.691Z","updated_at":"2021-09-30T08:23:03.691Z"}],"licence_links":[],"grants":[{"id":1236,"fairsharing_record_id":1937,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:25:00.431Z","updated_at":"2021-09-30T09:25:00.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1943","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:20:23.318Z","metadata":{"doi":"10.25504/FAIRsharing.mphj4z","name":"Yeast Searching for Transcriptional Regulators and Consensus Tracking","status":"ready","contacts":[{"contact_name":"Isabel Sá-Correia","contact_email":"isacorreia@tecnico.ulisboa.pt"},{"contact_name":"General Contact","contact_email":"contact@yeastract.com","contact_orcid":null}],"homepage":"http://www.yeastract.com","citations":[],"identifier":1943,"description":"YEASTRACT (Yeast Search for Transcriptional Regulators And Consensus Tracking) is a curated repository of more than 48333 regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae, based on more than 1200 bibliographic references.","abbreviation":"YEASTRACT","data_curation":{"url":"http://yeastract-plus.org/termsusage.php","type":"manual"},"support_links":[{"url":"http://www.yeastract.com/contactus.php","type":"Contact form"},{"url":"http://www.yeastract.com/help/","type":"Help documentation"},{"url":"http://www.yeastract.com/tutorial.php","type":"Training documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://www.yeastract.com/formorftogene.php","name":"Transform an ORF List into a Gene List"},{"url":"http://www.yeastract.com/iupacgeneration.php","name":"IUPAC Code Generation for DNA Sequences"},{"url":"http://www.yeastract.com/formgenerateregulationmatrix.php","name":"Generate Regulation Matrix"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.yeastract.com/datasubmission.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000409","bsg-d000409"],"name":"FAIRsharing record for: Yeast Searching for Transcriptional Regulators and Consensus Tracking","abbreviation":"YEASTRACT","url":"https://fairsharing.org/10.25504/FAIRsharing.mphj4z","doi":"10.25504/FAIRsharing.mphj4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: YEASTRACT (Yeast Search for Transcriptional Regulators And Consensus Tracking) is a curated repository of more than 48333 regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae, based on more than 1200 bibliographic references.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genetics","Biology"],"domains":["Deoxyribonucleic acid","Regulation of gene expression","Biological regulation","Small molecule","Transcription factor","Transcript","Gene"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Portugal"],"publications":[{"id":1392,"pubmed_id":24170807,"title":"The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1015","authors":"Teixeira MC,Monteiro PT,Guerreiro JF,Goncalves JP,Mira NP,dos Santos SC,Cabrito TR,Palma M,Costa C,Francisco AP,Madeira SC,Oliveira AL,Freitas AT,Sa-Correia I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1015","created_at":"2021-09-30T08:24:55.584Z","updated_at":"2021-09-30T11:29:07.668Z"},{"id":1446,"pubmed_id":16381908,"title":"The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae.","year":2005,"url":"http://doi.org/10.1093/nar/gkj013","authors":"Teixeira MC,Monteiro P,Jain P,Tenreiro S,Fernandes AR,Mira NP,Alenquer M,Freitas AT,Oliveira AL,Sa-Correia I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj013","created_at":"2021-09-30T08:25:01.650Z","updated_at":"2021-09-30T11:29:08.426Z"},{"id":3033,"pubmed_id":20972212,"title":"YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interface.","year":2010,"url":"http://doi.org/10.1093/nar/gkq964","authors":"Abdulrehman D., Monteiro PT., Teixeira MC., Mira NP., Lourenço AB., dos Santos SC., Cabrito TR., Francisco AP., Madeira SC., Aires RS., Oliveira AL., Sá-Correia I., Freitas AT.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq964","created_at":"2021-09-30T08:28:13.783Z","updated_at":"2021-09-30T08:28:13.783Z"},{"id":3055,"pubmed_id":18032429,"title":"YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae.","year":2007,"url":"http://doi.org/10.1093/nar/gkm976","authors":"Monteiro PT,Mendes ND,Teixeira MC,d'Orey S,Tenreiro S,Mira NP,Pais H,Francisco AP,Carvalho AM,Lourenco AB,Sa-Correia I,Oliveira AL,Freitas AT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm976","created_at":"2021-09-30T08:28:16.446Z","updated_at":"2021-09-30T11:29:50.403Z"}],"licence_links":[{"licence_name":"YEASTRACT Attribution required","licence_id":879,"licence_url":"http://www.yeastract.com/cite.php","link_id":2307,"relation":"undefined"}],"grants":[{"id":1253,"fairsharing_record_id":1943,"organisation_id":1642,"relation":"maintains","created_at":"2021-09-30T09:25:00.991Z","updated_at":"2021-09-30T09:25:00.991Z","grant_id":null,"is_lead":false,"saved_state":{"id":1642,"name":"Knowledge Discovery \u0026 Bioinformatics Research Group, Instituto Superior Tecnico, Lisbon, Portugal","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":8042,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:30:36.637Z","updated_at":"2021-09-30T09:30:36.693Z","grant_id":789,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"Pest-OE/EQB/LA0023/2011_research line","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1252,"fairsharing_record_id":1943,"organisation_id":260,"relation":"maintains","created_at":"2021-09-30T09:25:00.965Z","updated_at":"2021-09-30T09:25:00.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":260,"name":"Biological Sciences Research Group, Instituto Superior Tcnico, Lisbon, Portugal","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1251,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:25:00.941Z","updated_at":"2021-09-30T09:29:57.759Z","grant_id":488,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"PTDC/EIA/67722/2006","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8084,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:30:50.255Z","updated_at":"2021-09-30T09:30:50.305Z","grant_id":894,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"PTDC/EIA/71587/2006","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8196,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:31:27.347Z","updated_at":"2021-09-30T09:31:27.404Z","grant_id":1176,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"PTDC/BIO/72063/2006","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1944","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:54.625Z","metadata":{"doi":"10.25504/FAIRsharing.drcy7r","name":"NeuroMorpho.Org","status":"ready","contacts":[{"contact_name":"NeuroMorpho Admin","contact_email":"nmadmin@gmu.edu"}],"homepage":"http://neuromorpho.org/","citations":[{"doi":"10.1038/nrn1885","pubmed_id":16552417,"publication_id":423}],"identifier":1944,"description":"NeuroMorpho.Org is a centrally curated inventory of 3D digitally reconstructed neurons associated with peer-reviewed publications. The goal of NeuroMorpho.Org is to provide dense coverage of available reconstruction data for the neuroscience community.","abbreviation":"NeuroMorpho.Org","data_curation":{"url":"https://neuromorpho.org/myfaq.jsp","type":"manual"},"support_links":[{"url":"http://neuromorpho.org/myfaq.jsp","name":"NeuroMorpho FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://neuromorpho.org/main_help.jsp","name":"Quick Start","type":"Help documentation"},{"url":"https://twitter.com/NeuroMorphoOrg","name":"@NeuroMorphoOrg","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010107","name":"re3data:r3d100010107","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002145","name":"SciCrunch:RRID:SCR_002145","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://neuromorpho.org/data_submission_guide.jsp","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000410","bsg-d000410"],"name":"FAIRsharing record for: NeuroMorpho.Org","abbreviation":"NeuroMorpho.Org","url":"https://fairsharing.org/10.25504/FAIRsharing.drcy7r","doi":"10.25504/FAIRsharing.drcy7r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeuroMorpho.Org is a centrally curated inventory of 3D digitally reconstructed neurons associated with peer-reviewed publications. The goal of NeuroMorpho.Org is to provide dense coverage of available reconstruction data for the neuroscience community.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10769},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10945},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11062}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Computational Neuroscience","Neuroscience"],"domains":["Molecular structure","Neuron","Cell morphology","Structure"],"taxonomies":["Metazoa"],"user_defined_tags":["Digital reconstruction","Metadata standardization"],"countries":["United States"],"publications":[{"id":423,"pubmed_id":16552417,"title":"Mobilizing the base of neuroscience data: the case of neuronal morphologies.","year":2006,"url":"http://doi.org/10.1038/nrn1885","authors":"Ascoli GA.","journal":"Nat. Rev. Neurosci.","doi":"10.1038/nrn1885","created_at":"2021-09-30T08:23:05.974Z","updated_at":"2021-09-30T08:23:05.974Z"},{"id":663,"pubmed_id":22536169,"title":"Digital reconstructions of neuronal morphology: three decades of research trends","year":2012,"url":"http://doi.org/10.3389/fnins.2012.00049","authors":"Halavi M, Hamilton KA, Parekh R, Ascoli GA.","journal":"Frontiers in Neuroscience","doi":"10.3389/fnins.2012.00049","created_at":"2021-09-30T08:23:33.186Z","updated_at":"2021-09-30T08:23:33.186Z"},{"id":699,"pubmed_id":25653123,"title":"The importance of metadata to assess information content in digital reconstructions of neuronal morphology.","year":2015,"url":"http://doi.org/10.1007/s00441-014-2103-6","authors":"Parekh R., Armananzas R., Ascoli GA.","journal":"Cell and Tissue Research","doi":"10.1007/s00441-014-2103-6","created_at":"2021-09-30T08:23:37.077Z","updated_at":"2021-09-30T08:23:37.077Z"},{"id":700,"pubmed_id":24972604,"title":"Quantitative investigations of axonal and dendritic arbors: development, structure, function, and pathology","year":2014,"url":"http://doi.org/10.1177/1073858414540216","authors":"Parekh R, Ascoli GA","journal":"Neuroscientist","doi":"10.1177/1073858414540216","created_at":"2021-09-30T08:23:37.186Z","updated_at":"2021-09-30T08:23:37.186Z"},{"id":705,"pubmed_id":23522039,"title":"Neuronal morphology goes digital: A research hub for cellular and system neuroscience.","year":2013,"url":"http://doi.org/10.1016/j.neuron.2013.03.008","authors":"Parekh R, Ascoli GA","journal":"Neuron","doi":"10.1016/j.neuron.2013.03.008","created_at":"2021-09-30T08:23:37.695Z","updated_at":"2021-09-30T08:23:37.695Z"},{"id":707,"pubmed_id":25576225,"title":"Doubling up on the Fly: NeuroMorpho.Org Meets Big Data","year":2015,"url":"http://doi.org/10.1007/s12021-014-9257-y","authors":"Nanda S, Allaham MM, Bergamino M, Polavaram S, Armañanzas R, Ascoli GA, Parekh R.","journal":"Neuroinformatics","doi":"10.1007/s12021-014-9257-y","created_at":"2021-09-30T08:23:37.936Z","updated_at":"2021-09-30T08:23:37.936Z"},{"id":1167,"pubmed_id":18949582,"title":"NeuroMorpho.Org implementation of digital neuroscience: dense coverage and integration with the NIF.","year":2008,"url":"http://doi.org/10.1007/s12021-008-9030-1","authors":"Halavi M,Polavaram S,Donohue DE,Hamilton G,Hoyt J,Smith KP,Ascoli GA","journal":"Neuroinformatics","doi":"10.1007/s12021-008-9030-1","created_at":"2021-09-30T08:24:29.708Z","updated_at":"2021-09-30T08:24:29.708Z"}],"licence_links":[{"licence_name":"NeuroMorpho Terms of Use","licence_id":572,"licence_url":"http://neuromorpho.org/useterm.jsp","link_id":2376,"relation":"undefined"}],"grants":[{"id":1254,"fairsharing_record_id":1944,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:01.015Z","updated_at":"2021-09-30T09:30:05.013Z","grant_id":543,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 NS39600","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1255,"fairsharing_record_id":1944,"organisation_id":1128,"relation":"maintains","created_at":"2021-09-30T09:25:01.041Z","updated_at":"2021-09-30T09:25:01.041Z","grant_id":null,"is_lead":true,"saved_state":{"id":1128,"name":"George Mason University, Fairfax, VA, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1256,"fairsharing_record_id":1944,"organisation_id":1648,"relation":"maintains","created_at":"2021-09-30T09:25:01.065Z","updated_at":"2021-09-30T09:25:01.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1648,"name":"Krasnow Institute for Advanced Study, Fairfax, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1258,"fairsharing_record_id":1944,"organisation_id":2806,"relation":"maintains","created_at":"2021-09-30T09:25:01.116Z","updated_at":"2021-09-30T09:25:01.116Z","grant_id":null,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1260,"fairsharing_record_id":1944,"organisation_id":2229,"relation":"funds","created_at":"2021-09-30T09:25:01.176Z","updated_at":"2021-09-30T09:29:26.786Z","grant_id":254,"is_lead":false,"saved_state":{"id":2229,"name":"Office of Naval Research (ONR), Arlington, VA, USA","grant":"ONR MURI N00014-10-1-0198","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1257,"fairsharing_record_id":1944,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:01.092Z","updated_at":"2021-09-30T09:32:41.997Z","grant_id":1738,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF DBI 1546335 (BRAIN EAGER)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1259,"fairsharing_record_id":1944,"organisation_id":2806,"relation":"funds","created_at":"2021-09-30T09:25:01.143Z","updated_at":"2021-09-30T09:30:57.833Z","grant_id":955,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","grant":"Keck NAKFI","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8332,"fairsharing_record_id":1944,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:08.391Z","updated_at":"2021-09-30T09:32:08.441Z","grant_id":1486,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 NS086082","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1953","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:46:22.948Z","metadata":{"doi":"10.25504/FAIRsharing.xxtmjs","name":"Melanoma Molecular Map Project","status":"deprecated","contacts":[{"contact_name":"Simone Mocellin","contact_email":"simone.mocellin@unipd.it","contact_orcid":"0000-0002-9433-8445"}],"homepage":"http://www.mmmp.org/MMMP/","citations":[],"identifier":1953,"description":"A collection of molecular interaction maps and pathways involved in cancer development and progression with a focus on melanoma.","abbreviation":"MMMP","data_curation":{"type":"not found"},"support_links":[{"url":"mmmpteam@mmmp.org","type":"Support email"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010276","name":"re3data:r3d100010276","portal":"re3data"}],"deprecation_date":"2022-03-14","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000419","bsg-d000419"],"name":"FAIRsharing record for: Melanoma Molecular Map Project","abbreviation":"MMMP","url":"https://fairsharing.org/10.25504/FAIRsharing.xxtmjs","doi":"10.25504/FAIRsharing.xxtmjs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A collection of molecular interaction maps and pathways involved in cancer development and progression with a focus on melanoma.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Molecular entity","Cancer","Molecular interaction","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":437,"pubmed_id":18477889,"title":"The melanoma molecular map project.","year":2008,"url":"http://doi.org/10.1097/CMR.0b013e328300c50b","authors":"Mocellin S., Rossi CR.,","journal":"Melanoma Res.","doi":"10.1097/CMR.0b013e328300c50b","created_at":"2021-09-30T08:23:07.483Z","updated_at":"2021-09-30T08:23:07.483Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2191,"relation":"undefined"}],"grants":[{"id":1283,"fairsharing_record_id":1953,"organisation_id":1469,"relation":"funds","created_at":"2021-09-30T09:25:01.882Z","updated_at":"2021-09-30T09:25:01.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":1469,"name":"Intergruppo Melanoma Italiano (IMI), Genova, Italy","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1282,"fairsharing_record_id":1953,"organisation_id":2325,"relation":"funds","created_at":"2021-09-30T09:25:01.865Z","updated_at":"2021-09-30T09:25:01.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":2325,"name":"Piccoli Punti, Italia","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1954","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-20T15:33:43.971Z","metadata":{"doi":"10.25504/FAIRsharing.5y3gdd","name":"Pathway Commons","status":"ready","contacts":[{"contact_name":"Gary Bader","contact_email":"pathway-commons-help@googlegroups.com"}],"homepage":"http://www.pathwaycommons.org","citations":[],"identifier":1954,"description":"Pathway Commons is a convenient point of access to biological pathway information collected from public pathway databases. Information is sourced from public pathway databases and is readily searched, visualized, and downloaded. The data is freely available under the license terms of each contributing database.","abbreviation":"PC","data_curation":{"url":"http://www.pathwaycommons.org/","type":"manual/automated","notes":"Data is automatically and manually checked at every release."},"support_links":[{"url":"http://www.pathwaycommons.org/#faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/forum/#!forum/pathway-commons-help","type":"Forum"},{"url":"pathway-commons-help@googlegroups.com","type":"Mailing list"},{"url":"https://twitter.com/PathwayCommons","type":"Twitter"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://apps.cytoscape.org/apps/cypath2","name":"CyPathwayCommons 2"},{"url":"http://www.sanderlab.org/pcviz/","name":"PCViz"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012731","name":"re3data:r3d100012731","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002103","name":"SciCrunch:RRID:SCR_002103","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.pathwaycommons.org/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000420","bsg-d000420"],"name":"FAIRsharing record for: Pathway Commons","abbreviation":"PC","url":"https://fairsharing.org/10.25504/FAIRsharing.5y3gdd","doi":"10.25504/FAIRsharing.5y3gdd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pathway Commons is a convenient point of access to biological pathway information collected from public pathway databases. Information is sourced from public pathway databases and is readily searched, visualized, and downloaded. The data is freely available under the license terms of each contributing database.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11064},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12246}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Computational Biology","Life Science","Systems Biology"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":51,"pubmed_id":21071392,"title":"Pathway Commons, a web resource for biological pathway data.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1039","authors":"Cerami EG., Gross BE., Demir E., Rodchenkov I., Babur O., Anwar N., Schultz N., Bader GD., Sander C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1039","created_at":"2021-09-30T08:22:25.855Z","updated_at":"2021-09-30T08:22:25.855Z"}],"licence_links":[],"grants":[{"id":1289,"fairsharing_record_id":1954,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:01.982Z","updated_at":"2021-09-30T09:31:47.559Z","grant_id":1328,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"P41HG004118","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8416,"fairsharing_record_id":1954,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:32:32.610Z","updated_at":"2021-09-30T09:32:32.668Z","grant_id":1667,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"2R01GM070743-06","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8924,"fairsharing_record_id":1954,"organisation_id":578,"relation":"maintains","created_at":"2022-03-08T15:49:16.703Z","updated_at":"2022-03-08T15:49:16.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":578,"name":"Computational Biology Center, Memorial Sloan-Kettering Cancer Center","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1285,"fairsharing_record_id":1954,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:01.915Z","updated_at":"2021-09-30T09:31:46.926Z","grant_id":1323,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"1T32 GM083937","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1288,"fairsharing_record_id":1954,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:25:01.965Z","updated_at":"2021-09-30T09:25:01.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11499,"fairsharing_record_id":1954,"organisation_id":159,"relation":"maintains","created_at":"2024-03-20T15:27:44.787Z","updated_at":"2024-03-20T15:27:44.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":159,"name":"Bader Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1949","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:08.083Z","metadata":{"doi":"10.25504/FAIRsharing.fhcmwq","name":"The Global Proteome Machine Database","status":"ready","contacts":[{"contact_email":"contact@thegpm.org"}],"homepage":"https://www.thegpm.org/GPMDB/index.html","citations":[{"doi":"10.1021/pr049882h","pubmed_id":15595733,"publication_id":1266}],"identifier":1949,"description":"The Global Proteome Machine Database (gpmDB holds the minimum amount of information necessary for common bioinformatics-related tasks (such as sequence assignment validation) rather than being a complete record of a proteomics experiment. It was also created to aid in the process of validating peptide MS/MS spectra as well as protein coverage patterns. Most of the data is held in a set of XML files: the database serves as an index to those files, allowing for rapid lookups and reduced database storage requirements.","abbreviation":"gpmDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.thegpm.org/","name":"gpmDB Blog","type":"Blog/News"},{"url":"https://www.thegpm.org/GPMDB/gpmdb_faq.html","name":"gpmDB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wiki.thegpm.org/wiki/Main_Page","name":"gpmDB Wiki","type":"Help documentation"},{"url":"https://www.thegpm.org/GPMDB/url_conventions.html","name":"gpmDB URL Conventions","type":"Help documentation"},{"url":"https://twitter.com/GPMDB","name":"@GPMDB","type":"Twitter"}],"year_creation":2003,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010883","name":"re3data:r3d100010883","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006617","name":"SciCrunch:RRID:SCR_006617","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.thegpm.org/GPMDB/tutorials.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000415","bsg-d000415"],"name":"FAIRsharing record for: The Global Proteome Machine Database","abbreviation":"gpmDB","url":"https://fairsharing.org/10.25504/FAIRsharing.fhcmwq","doi":"10.25504/FAIRsharing.fhcmwq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Global Proteome Machine Database (gpmDB holds the minimum amount of information necessary for common bioinformatics-related tasks (such as sequence assignment validation) rather than being a complete record of a proteomics experiment. It was also created to aid in the process of validating peptide MS/MS spectra as well as protein coverage patterns. Most of the data is held in a set of XML files: the database serves as an index to those files, allowing for rapid lookups and reduced database storage requirements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Proteomics"],"domains":["Mass spectrum","Proteome","Molecular interaction","Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1266,"pubmed_id":15595733,"title":"Open source system for analyzing, validating, and storing protein identification data.","year":2004,"url":"http://doi.org/10.1021/pr049882h","authors":"Craig R,Cortens JP,Beavis RC","journal":"J Proteome Res","doi":"10.1021/pr049882h","created_at":"2021-09-30T08:24:41.275Z","updated_at":"2021-09-30T08:24:41.275Z"}],"licence_links":[],"grants":[{"id":1271,"fairsharing_record_id":1949,"organisation_id":1750,"relation":"maintains","created_at":"2021-09-30T09:25:01.560Z","updated_at":"2021-09-30T09:25:01.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1750,"name":"Manitoba Centre for Proteomics and Systems Biology (MCPSB), Winnipeg, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1950","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-13T09:28:42.545Z","metadata":{"doi":"10.25504/FAIRsharing.nhmd3w","name":"DragonDB","status":"deprecated","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"markw@illuminae.com"}],"homepage":"http://www.antirrhinum.net","citations":[],"identifier":1950,"description":"The NEW Antirrhinum majus (Snapdragon) genetic and genomic database","abbreviation":"DragonDB","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://www.antirrhinum.net/blast/blast.html","name":"BLAST"}],"deprecation_date":"2021-06-24","deprecation_reason":"The website is no longer available","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000416","bsg-d000416"],"name":"FAIRsharing record for: DragonDB","abbreviation":"DragonDB","url":"https://fairsharing.org/10.25504/FAIRsharing.nhmd3w","doi":"10.25504/FAIRsharing.nhmd3w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NEW Antirrhinum majus (Snapdragon) genetic and genomic database","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Antirrhinum majus"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[],"grants":[{"id":1272,"fairsharing_record_id":1950,"organisation_id":3024,"relation":"maintains","created_at":"2021-09-30T09:25:01.598Z","updated_at":"2021-09-30T09:25:01.598Z","grant_id":null,"is_lead":false,"saved_state":{"id":3024,"name":"University of British Columbia, Vancouver, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1273,"fairsharing_record_id":1950,"organisation_id":1303,"relation":"maintains","created_at":"2021-09-30T09:25:01.639Z","updated_at":"2021-09-30T09:25:01.639Z","grant_id":null,"is_lead":false,"saved_state":{"id":1303,"name":"IBM, New York, NY, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1274,"fairsharing_record_id":1950,"organisation_id":1788,"relation":"undefined","created_at":"2021-09-30T09:25:01.682Z","updated_at":"2021-09-30T09:25:01.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":1788,"name":"Max Planck Institute for Plant Breeding Research, Cologne, Germany","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1948","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:05.045Z","metadata":{"doi":"10.25504/FAIRsharing.aq280w","name":"Maize Genetics and Genomics Database","status":"ready","contacts":[{"contact_name":"Carson Andorf","contact_email":"carson.andorf@ars.usda.gov"}],"homepage":"https://www.maizegdb.org","citations":[{"doi":"10.1093/nar/gky1046","pubmed_id":30407532,"publication_id":2975}],"identifier":1948,"description":"MaizeGDB is the maize research community's central repository for genetics and genomics information.","abbreviation":"MaizeGDB","data_curation":{"url":"https://www.maizegdb.org/contribute_data","type":"manual/automated","notes":"Both curator from MaizeGDB's primary team and community curators insure the data quality."},"support_links":[{"url":"https://maizegdb.org/contact","type":"Contact form"},{"url":"http://www.maizegdb.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://outreach.maizegdb.org","type":"Training documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"https://blast.maizegdb.org","name":"BLAST"},{"url":"https://corncyc-b73-v4.maizegdb.org","name":"CornCyc"},{"url":"https://www.maizegdb.org/snpversity","name":"SNPversity"},{"url":"https://maizegdb.org/gbrowse","name":"Genome browser - GBrowse"},{"url":"https://qteller.maizegdb.org/","name":"qTeller"},{"url":"https://jbrowse.maizegdb.org","name":"Genome Browser - JBrowse"},{"url":"https://maizegdb.org/breeders_toolbox","name":"Pedigree Viewer"},{"url":"https://genomeqc.maizegdb.org","name":"GenomeQC"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010795","name":"re3data:r3d100010795","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006600","name":"SciCrunch:RRID:SCR_006600","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.maizegdb.org/contribute_data","type":"controlled","notes":"Submited data/metadata must meet several criteria including being FAIR and published."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000414","bsg-d000414"],"name":"FAIRsharing record for: Maize Genetics and Genomics Database","abbreviation":"MaizeGDB","url":"https://fairsharing.org/10.25504/FAIRsharing.aq280w","doi":"10.25504/FAIRsharing.aq280w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MaizeGDB is the maize research community's central repository for genetics and genomics information.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11620},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16718}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Life Science"],"domains":["Cytogenetic map","Expression data","Deoxyribonucleic acid","Genetic polymorphism","Phenotype","Pathway model","Genome","Germplasm"],"taxonomies":["Zea mays"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1411,"pubmed_id":18769488,"title":"MaizeGDB: The maize model organism database for basic, translational, and applied research.","year":2008,"url":"http://doi.org/10.1155/2008/496957","authors":"Lawrence CJ., Harper LC., Schaeffer ML., Sen TZ., Seigfried TE., Campbell DA.,","journal":"Int J Plant Genomics","doi":"10.1155/2008/496957","created_at":"2021-09-30T08:24:57.719Z","updated_at":"2021-09-30T08:24:57.719Z"},{"id":2924,"pubmed_id":26519406,"title":"MaizeGDB: The Maize Genetics and Genomics Database","year":2015,"url":"http://doi.org/10.1007/978-1-4939-3167-5_9","authors":"Harper L, Gardiner J, Andorf C, Lawrence CJ.","journal":"Methods Mol Biol.","doi":"10.1007/978-1-4939-3167-5_9","created_at":"2021-09-30T08:28:00.114Z","updated_at":"2021-09-30T08:28:00.114Z"},{"id":2925,"pubmed_id":26432828,"title":"MaizeGDB update: new tools, data and interface for the maize model organism database","year":2015,"url":"http://doi.org/10.1093/nar/gkv1007","authors":"Andorf CM, Cannon EK, Portwood JL 2nd, Gardiner JM, Harper LC, Schaeffer ML, Braun BL, Campbell DA, Vinnakota AG, Sribalusu VV, Huerta M, Cho KT, Wimalanathan K, Richter JD, Mauch ED, Rao BS, Birkett SM, Sen TZ, Lawrence-Dill CJ.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1007","created_at":"2021-09-30T08:28:00.230Z","updated_at":"2021-09-30T11:29:49.105Z"},{"id":2926,"pubmed_id":31555312,"title":"MaizeDIG: Maize Database of Images and Genomes.","year":2019,"url":"http://doi.org/10.3389/fpls.2019.01050","authors":"Cho KT, Portwood JL 2nd, Gardiner JM, Harper LC, Lawrence-Dill CJ, Friedberg I, Andorf CM","journal":"Frontiers in Plant Science","doi":"10.3389/fpls.2019.01050","created_at":"2021-09-30T08:28:00.347Z","updated_at":"2021-09-30T08:28:00.347Z"},{"id":2975,"pubmed_id":30407532,"title":"MaizeGDB 2018: the maize multi-genome genetics and genomics database","year":2018,"url":"http://doi.org/10.1093/nar/gky1046","authors":"Portwood JL II, Woodhouse MR, Cannon EK, Gardiner JM, Harper LC, Schaeffer ML, Walsh JR, Sen TZ, Cho KT, Schott DA, Braun BL, Dietze M, Dunfee B, Elsik CG, Manchanda N, Coe E, Sachs M, Stinard P, Tolbert J, Zimmerman S, Andorf CM.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1046","created_at":"2021-09-30T08:28:06.583Z","updated_at":"2021-09-30T08:28:06.583Z"}],"licence_links":[{"licence_name":"MaizeGDB Attribution required","licence_id":501,"licence_url":"https://www.maizegdb.org/cite","link_id":519,"relation":"undefined"}],"grants":[{"id":1270,"fairsharing_record_id":1948,"organisation_id":1746,"relation":"maintains","created_at":"2021-09-30T09:25:01.529Z","updated_at":"2021-09-30T09:25:01.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":1746,"name":"Maize Genetics and Genomoics Database (MaizeGDB) Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1962","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-21T09:58:26.058Z","metadata":{"doi":"10.25504/FAIRsharing.cwn40y","name":"Sequence-Structural Templates of Single-member Superfamilies","status":"deprecated","contacts":[{"contact_name":"Ramanathan Sowdhamini","contact_email":"mini@ncbs.res.in"}],"homepage":"http://caps.ncbs.res.in/SSTOSS/index.htm","citations":[],"identifier":1962,"description":"SSToSS is a database which provides sequence-structural templates of single member protein domain superfamilies like PASS2. Sequence-structural templates are recognized by considering the content and overlap of sequence similarity and structural parameters like, solvent inaccessibility, secondary structural content, hydrogen bonding and spatial packing of the residues among the protein of single member superfamilies.","abbreviation":"SSToSS","data_curation":{"type":"not found"},"support_links":[{"url":"http://caps.ncbs.res.in/SSTOSS/info.htm","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2023-09-21","deprecation_reason":"The homepage is no longer valid, and a new homepage cannot be found. Please let us know if you have any additional information.","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000428","bsg-d000428"],"name":"FAIRsharing record for: Sequence-Structural Templates of Single-member Superfamilies","abbreviation":"SSToSS","url":"https://fairsharing.org/10.25504/FAIRsharing.cwn40y","doi":"10.25504/FAIRsharing.cwn40y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SSToSS is a database which provides sequence-structural templates of single member protein domain superfamilies like PASS2. Sequence-structural templates are recognized by considering the content and overlap of sequence similarity and structural parameters like, solvent inaccessibility, secondary structural content, hydrogen bonding and spatial packing of the residues among the protein of single member superfamilies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12659}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Protein structure","Protein domain","Secondary protein structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":298,"pubmed_id":16922694,"title":"SSToSS--sequence-structural templates of single-member superfamilies.","year":2006,"url":"https://www.ncbi.nlm.nih.gov/pubmed/16922694","authors":"Chakrabarti S,Manohari G,Pugalenthi G,Sowdhamini R","journal":"In Silico Biol","doi":null,"created_at":"2021-09-30T08:22:52.116Z","updated_at":"2021-09-30T08:22:52.116Z"}],"licence_links":[],"grants":[{"id":1306,"fairsharing_record_id":1962,"organisation_id":1958,"relation":"maintains","created_at":"2021-09-30T09:25:02.266Z","updated_at":"2021-09-30T09:25:02.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":1958,"name":"National Center for Biological Sciences (NCBS), Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1963","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:08.072Z","metadata":{"doi":"10.25504/FAIRsharing.vwmc9h","name":"AceView genes","status":"ready","contacts":[{"contact_email":"mieg@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/IEB/Research/Acembly/","citations":[],"identifier":1963,"description":"AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes.","abbreviation":"AceView","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/IEB/Research/Acembly/","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2000,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010651","name":"re3data:r3d100010651","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002277","name":"SciCrunch:RRID:SCR_002277","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/IEB/Research/Acembly/HelpQuery.html","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000429","bsg-d000429"],"name":"FAIRsharing record for: AceView genes","abbreviation":"AceView","url":"https://fairsharing.org/10.25504/FAIRsharing.vwmc9h","doi":"10.25504/FAIRsharing.vwmc9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Genetic polymorphism","Messenger RNA","Gene","Complementary DNA"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3923,"pubmed_id":null,"title":"AceView: a comprehensive cDNA-supported gene and transcripts annotation","year":2006,"url":"http://dx.doi.org/10.1186/gb-2006-7-s1-s12","authors":"Thierry-Mieg, Danielle; Thierry-Mieg, Jean; ","journal":"Genome Biol","doi":"10.1186/gb-2006-7-s1-s12","created_at":"2023-06-19T06:53:03.750Z","updated_at":"2023-06-19T06:53:03.750Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1916,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1904,"relation":"undefined"}],"grants":[{"id":1307,"fairsharing_record_id":1963,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.283Z","updated_at":"2021-09-30T09:25:02.283Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1964","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:50:20.386Z","metadata":{"doi":"10.25504/FAIRsharing.w2eeqr","name":"NCBI BioSystems Database","status":"deprecated","contacts":[{"contact_name":"General information","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/biosystems/","citations":[],"identifier":1964,"description":"The NCBI BioSystems database centralizes and cross-links existing biological systems databases, increasing their utility and target audience by integrating their pathways and systems into NCBI resources. The resource provides categorical information on genes, proteins and small molecules of biosystems.","abbreviation":"BioSystems","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/Structure/biosystems/docs/biosystems_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/biosystems/docs/biosystems_help.html","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/Structure/flink/flink.cgi","name":"FLink"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011033","name":"re3data:r3d100011033","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004690","name":"SciCrunch:RRID:SCR_004690","portal":"SciCrunch"}],"deprecation_date":"2022-03-14","deprecation_reason":"NCBI now provides metabolic pathway and other biosystems data through the regularly updated PubChem Pathways resource. Please see https://ncbiinsights.ncbi.nlm.nih.gov/2021/08/10/retire-biosystems-database/ for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000430","bsg-d000430"],"name":"FAIRsharing record for: NCBI BioSystems Database","abbreviation":"BioSystems","url":"https://fairsharing.org/10.25504/FAIRsharing.w2eeqr","doi":"10.25504/FAIRsharing.w2eeqr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCBI BioSystems database centralizes and cross-links existing biological systems databases, increasing their utility and target audience by integrating their pathways and systems into NCBI resources. The resource provides categorical information on genes, proteins and small molecules of biosystems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology","Systems Biology"],"domains":["Molecular entity","Small molecule","Protein","Pathway model","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":448,"pubmed_id":19854944,"title":"The NCBI BioSystems database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp858","authors":"Geer LY., Marchler-Bauer A., Geer RC., Han L., He J., He S., Liu C., Shi W., Bryant SH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp858","created_at":"2021-09-30T08:23:08.644Z","updated_at":"2021-09-30T08:23:08.644Z"}],"licence_links":[{"licence_name":"BioSystems Attribution required","licence_id":82,"licence_url":"https://www.ncbi.nlm.nih.gov/Structure/biosystems/docs/biosystems_publications.html","link_id":1756,"relation":"undefined"},{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1760,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1754,"relation":"undefined"}],"grants":[{"id":1309,"fairsharing_record_id":1964,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.325Z","updated_at":"2021-09-30T09:25:02.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1308,"fairsharing_record_id":1964,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.299Z","updated_at":"2021-09-30T09:25:02.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1965","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:40.217Z","metadata":{"doi":"10.25504/FAIRsharing.2cyh1h","name":"NCBI Cancer Chromosome Database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=cancerchromosomes","identifier":1965,"description":"Three databases, the NCI/NCBI SKY/M-FISH \u0026 CGH Database, the NCI Mitelman Database of Chromosome Aberrations in Cancer, and the NCI Recurrent Aberrations in Cancer , are now integrated into NCBI's Entrez system as Cancer Chromosomes.","abbreviation":"Cancer Chromosomes","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2016-12-21","deprecation_reason":"Due to budgetary constraints, the National Center for Biotechnology Information (NCBI) has discontinued the Cancer Chromosomes database and it has been removed from the Entrez System.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000431","bsg-d000431"],"name":"FAIRsharing record for: NCBI Cancer Chromosome Database","abbreviation":"Cancer Chromosomes","url":"https://fairsharing.org/10.25504/FAIRsharing.2cyh1h","doi":"10.25504/FAIRsharing.2cyh1h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Three databases, the NCI/NCBI SKY/M-FISH \u0026 CGH Database, the NCI Mitelman Database of Chromosome Aberrations in Cancer, and the NCI Recurrent Aberrations in Cancer , are now integrated into NCBI's Entrez system as Cancer Chromosomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Deoxyribonucleic acid","Cancer","Chromosomal aberration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":954,"relation":"undefined"}],"grants":[{"id":1311,"fairsharing_record_id":1965,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.357Z","updated_at":"2021-09-30T09:25:02.357Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1310,"fairsharing_record_id":1965,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.341Z","updated_at":"2021-09-30T09:25:02.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1966","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:36.496Z","metadata":{"doi":"10.25504/FAIRsharing.46s4nt","name":"The Consensus CDS","status":"ready","contacts":[{"contact_name":"Kim D. Pruitt","contact_email":"Pruitt@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/CCDS/","identifier":1966,"description":"The Consensus CDS (CCDS) project is a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated and of high quality. The long term goal is to support convergence towards a standard set of gene annotations.","abbreviation":"CCDS","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/projects/CCDS/CcdsBrowse.cgi#process","type":"manual"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/projects/CCDS/UserRequest/UserRequest.cgi","type":"Contact form"},{"url":"info@ncbi.nlm.nih.gov","type":"Support email"}],"year_creation":2005,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000432","bsg-d000432"],"name":"FAIRsharing record for: The Consensus CDS","abbreviation":"CCDS","url":"https://fairsharing.org/10.25504/FAIRsharing.46s4nt","doi":"10.25504/FAIRsharing.46s4nt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Consensus CDS (CCDS) project is a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated and of high quality. The long term goal is to support convergence towards a standard set of gene annotations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1930,"pubmed_id":19498102,"title":"The consensus coding sequence (CCDS) project: Identifying a common protein-coding gene set for the human and mouse genomes.","year":2009,"url":"http://doi.org/10.1101/gr.080531.108","authors":"Pruitt KD. et al.","journal":"Genome Res.","doi":"10.1101/gr.080531.108","created_at":"2021-09-30T08:25:57.214Z","updated_at":"2021-09-30T08:25:57.214Z"}],"licence_links":[{"licence_name":"CCDS Attribution required","licence_id":107,"licence_url":"https://www.ncbi.nlm.nih.gov/projects/CCDS/CcdsBrowse.cgi","link_id":1635,"relation":"undefined"},{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1637,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1636,"relation":"undefined"}],"grants":[{"id":1315,"fairsharing_record_id":1966,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:02.424Z","updated_at":"2021-09-30T09:25:02.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1312,"fairsharing_record_id":1966,"organisation_id":1273,"relation":"maintains","created_at":"2021-09-30T09:25:02.374Z","updated_at":"2021-09-30T09:25:02.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":1273,"name":"HUGO Gene Nomenclature Committee (HGNC), Hinxton, Cambridgeshire, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1313,"fairsharing_record_id":1966,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:02.391Z","updated_at":"2021-09-30T09:25:02.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1316,"fairsharing_record_id":1966,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.441Z","updated_at":"2021-09-30T09:25:02.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1317,"fairsharing_record_id":1966,"organisation_id":3037,"relation":"maintains","created_at":"2021-09-30T09:25:02.457Z","updated_at":"2021-09-30T09:25:02.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1318,"fairsharing_record_id":1966,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:02.474Z","updated_at":"2021-09-30T09:32:51.497Z","grant_id":1808,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1U54HG004555-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1314,"fairsharing_record_id":1966,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:25:02.406Z","updated_at":"2021-09-30T09:28:59.125Z","grant_id":42,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"WT062023","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8162,"fairsharing_record_id":1966,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:31:16.456Z","updated_at":"2021-09-30T09:31:16.509Z","grant_id":1097,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"WT077198","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9222,"fairsharing_record_id":1966,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.469Z","updated_at":"2022-04-11T12:07:23.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1977","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:43.883Z","metadata":{"doi":"10.25504/FAIRsharing.mzc066","name":"NCBI HomoloGene Database","status":"ready","contacts":[{"contact_name":"General information","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/homologene","citations":[],"identifier":1977,"description":"HomoloGene is an automated system for the detection of homologs among the annotated genes of several completely sequenced eukaryotic genomes. HomoloGene takes protein sequences from differing species and compares them to one another (using blastp) and matches are placed into groups, using a tree built from sequence similarity to guide the process, where closer related organisms are matched up first, and then further organisms are added as the tree is traversed toward the root. The protein alignments are mapped back to their corresponding DNA sequences, where distance metrics can be calculated (e.g. molecular distance, Ka/Ks ratio). Sequences are matched using synteny when applicable. Remaining sequences are matched up by using an algorithm for maximizing the score globally, rather than locally, in a bipartite matching. Cutoffs on bits per position and Ks values are set to prevent unlikely \"orthologs\" from being grouped together. These cutoffs are calculated based on the respective score distribution for the given groups of organisms. Paralogs are identified by finding sequences that are closer within species than other species.","abbreviation":"HomoloGene","data_curation":{"type":"automated"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/homologene/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/HomoloGene/HTML/homologene_querytips.html","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010781","name":"re3data:r3d100010781","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002924","name":"SciCrunch:RRID:SCR_002924","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000443","bsg-d000443"],"name":"FAIRsharing record for: NCBI HomoloGene Database","abbreviation":"HomoloGene","url":"https://fairsharing.org/10.25504/FAIRsharing.mzc066","doi":"10.25504/FAIRsharing.mzc066","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HomoloGene is an automated system for the detection of homologs among the annotated genes of several completely sequenced eukaryotic genomes. HomoloGene takes protein sequences from differing species and compares them to one another (using blastp) and matches are placed into groups, using a tree built from sequence similarity to guide the process, where closer related organisms are matched up first, and then further organisms are added as the tree is traversed toward the root. The protein alignments are mapped back to their corresponding DNA sequences, where distance metrics can be calculated (e.g. molecular distance, Ka/Ks ratio). Sequences are matched using synteny when applicable. Remaining sequences are matched up by using an algorithm for maximizing the score globally, rather than locally, in a bipartite matching. Cutoffs on bits per position and Ks values are set to prevent unlikely \"orthologs\" from being grouped together. These cutoffs are calculated based on the respective score distribution for the given groups of organisms. Paralogs are identified by finding sequences that are closer within species than other species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12665}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Genome annotation","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2200,"pubmed_id":21097890,"title":"Database resources of the National Center for Biotechnology Information.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1172","authors":"Sayers EW., Barrett T., Benson DA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1172","created_at":"2021-09-30T08:26:27.948Z","updated_at":"2021-09-30T08:26:27.948Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1042,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1061,"relation":"undefined"}],"grants":[{"id":1339,"fairsharing_record_id":1977,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.166Z","updated_at":"2021-09-30T09:25:03.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1340,"fairsharing_record_id":1977,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.204Z","updated_at":"2021-09-30T09:25:03.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1955","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T15:58:29.439Z","metadata":{"doi":"10.25504/FAIRsharing.fcwyhz","name":"Mouse Genome Database - a Mouse Genome Informatics (MGI) Resource","status":"ready","contacts":[{"contact_name":"MGI User Support","contact_email":"mgi-help@jax.org"}],"homepage":"http://www.informatics.jax.org/","citations":[],"identifier":1955,"description":"MGI is the international database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data to facilitate the study of human health and disease. Data includes gene characterization, nomenclature, mapping, gene homologies among mammals, sequence links, phenotypes, allelic variants and mutants, and strain data.","abbreviation":"MGI","data_curation":{"url":"https://www.informatics.jax.org/mgihome/homepages/help.shtml","type":"manual"},"support_links":[{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","type":"Contact form"},{"url":"http://www.informatics.jax.org/mgihome/lists/lists.shtml","type":"Mailing list"},{"url":"http://www.informatics.jax.org/mgihome/other/homepage_usingMGI.shtml","name":"How to Use MGI","type":"Help documentation"},{"url":"https://twitter.com/mgi_mouse","name":"@mgi_mouse","type":"Twitter"},{"url":"https://www.youtube.com/channel/UCT7XJlwD9uvQrwi0h3w3a-Q","name":"Youtube channel","type":"Video"},{"url":"http://www.informatics.jax.org/faq/FAQ.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.informatics.jax.org/mgihome/homepages/help.shtml","type":"Help documentation"},{"url":"http://www.informatics.jax.org/mgihome/news/whatsnew.shtml","type":"Blog/News"}],"year_creation":1994,"data_versioning":"no","associated_tools":[{"url":"http://www.mousemine.org/mousemine/begin.do","name":"MouseMine"},{"url":"http://www.informatics.jax.org/batch","name":"Batch Query"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010266","name":"re3data:r3d100010266","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006460","name":"SciCrunch:RRID:SCR_006460","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.informatics.jax.org/submit.shtml","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000421","bsg-d000421"],"name":"FAIRsharing record for: Mouse Genome Database - a Mouse Genome Informatics (MGI) Resource","abbreviation":"MGI","url":"https://fairsharing.org/10.25504/FAIRsharing.fcwyhz","doi":"10.25504/FAIRsharing.fcwyhz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MGI is the international database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data to facilitate the study of human health and disease. Data includes gene characterization, nomenclature, mapping, gene homologies among mammals, sequence links, phenotypes, allelic variants and mutants, and strain data.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10771},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10947},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11065},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12308},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12658},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16196}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Animal Genetics","Genomics","Biology"],"domains":["Cytogenetic map","Genome map","Gene name","Expression data","Gene Ontology enrichment","Disease process modeling","Mutation","Genetic polymorphism","Phenotype","Disease","Sequence","Single nucleotide polymorphism","Gene","Quantitative trait loci","Homologous","Allele"],"taxonomies":["Mus musculus"],"user_defined_tags":["Chromosomal element nomenclature","COVID-19"],"countries":["United States"],"publications":[{"id":698,"pubmed_id":24285300,"title":"The Mouse Genome Database: integration of and access to knowledge about the laboratory mouse.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1225","authors":"Blake JA, Bult CJ, Eppig JT, Kadin JA, Richardson JE; The Mouse Genome Database Group","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1225","created_at":"2021-09-30T08:23:36.975Z","updated_at":"2021-09-30T11:28:49.050Z"},{"id":716,"pubmed_id":23175610,"title":"The Mouse Genome Database: Genotypes, Phenotypes, and Models of Human Disease","year":2012,"url":"http://doi.org/10.1093/nar/gks1115","authors":"Bult CJ, Eppig JT, Blake JA, Kadin JA, Richardson JE; the Mouse Genome Database Group","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1115","created_at":"2021-09-30T08:23:38.919Z","updated_at":"2021-09-30T08:23:38.919Z"},{"id":931,"pubmed_id":27933520,"title":"Mouse Genome Informatics (MGI): Resources for Mining Mouse Genetic, Genomic, and Biological Data in Support of Primary and Translational Research.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6427-7_3","authors":"Eppig JT, Smith CL, Blake JA, Ringwald M, Kadin JA, Richardson JE, Bult CJ.","journal":"Methods Mol Biol.","doi":"10.1007/978-1-4939-6427-7_3","created_at":"2021-09-30T08:24:02.970Z","updated_at":"2021-09-30T08:24:02.970Z"},{"id":1009,"pubmed_id":28838066,"title":"Mouse Genome Informatics (MGI) Resource: Genetic, Genomic, and Biological Knowledgebase for the Laboratory Mouse.","year":2017,"url":"http://doi.org/10.1093/ilar/ilx013","authors":"Eppig JT","journal":"ILAR J.","doi":"10.1093/ilar/ilx013","created_at":"2021-09-30T08:24:11.721Z","updated_at":"2021-09-30T08:24:11.721Z"},{"id":1042,"pubmed_id":22075990,"title":"The Mouse Genome Database (MGD): comprehensive resource for genetics and genomics of the laboratory mouse","year":2011,"url":"http://doi.org/10.1093/nar/gkr974","authors":"Eppig JT, Blake JA, Bult CJ, Kadin JA, Richardson JE; the Mouse Genome Database Group","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr974","created_at":"2021-09-30T08:24:15.372Z","updated_at":"2021-09-30T08:24:15.372Z"},{"id":1058,"pubmed_id":27899570,"title":"Mouse Genome Database (MGD)-2017: community knowledge resource for the laboratory mouse.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1040","authors":"Blake JA, Eppig JT, Kadin JA, Richardson JE, Smith CL, Bult CJ, and the Mouse Genome Database Group.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw1040","created_at":"2021-09-30T08:24:17.174Z","updated_at":"2021-09-30T08:24:17.174Z"},{"id":1210,"pubmed_id":8091224,"title":"A database for mouse development.","year":1994,"url":"http://doi.org/10.1126/science.8091224","authors":"Ringwald M,Baldock R,Bard J,Kaufman M,Eppig JT,Richardson JE,Nadeau JH,Davidson D","journal":"Science","doi":"10.1126/science.8091224","created_at":"2021-09-30T08:24:34.858Z","updated_at":"2021-09-30T08:24:34.858Z"},{"id":1493,"pubmed_id":15608240,"title":"The Mouse Genome Database (MGD): from genes to mice--a community resource for mouse biology.","year":2004,"url":"http://doi.org/10.1093/nar/gki113","authors":"Eppig JT. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki113","created_at":"2021-09-30T08:25:07.193Z","updated_at":"2021-09-30T08:25:07.193Z"},{"id":2140,"pubmed_id":30335138,"title":"The mouse Gene Expression Database (GXD): 2019 update.","year":2018,"url":"http://doi.org/10.1093/nar/gky922","authors":"Smith CM,Hayamizu TF,Finger JH,Bello SM,McCright IJ,Xu J,Baldarelli RM,Beal JS,Campbell J,Corbani LE,Frost PJ,Lewis JR,Giannatto SC,Miers D,Shaw DR,Kadin JA,Richardson JE,Smith CL,Ringwald M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky922","created_at":"2021-09-30T08:26:21.256Z","updated_at":"2021-09-30T11:29:29.994Z"},{"id":3273,"pubmed_id":30407599,"title":"Mouse Genome Database (MGD) 2019.","year":2019,"url":"https://doi.org/10.1093/nar/gky1056","authors":"Bult CJ, Blake JA, Smith CL, Kadin JA, Richardson JE, Mouse Genome Database Group.","journal":"Nucleic acids research","doi":"10.1093/nar/gky1056","created_at":"2022-03-25T14:51:29.719Z","updated_at":"2022-03-25T14:51:29.719Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3196,"relation":"applies_to_content"},{"licence_name":"MGI Warranty Disclaimer and Copyright Notice","licence_id":511,"licence_url":"http://www.informatics.jax.org/mgihome/other/copyright.shtml","link_id":605,"relation":"applies_to_content"}],"grants":[{"id":1291,"fairsharing_record_id":1955,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:02.015Z","updated_at":"2021-09-30T09:32:06.042Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1290,"fairsharing_record_id":1955,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:01.999Z","updated_at":"2021-09-30T09:25:01.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1956","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:46.838Z","metadata":{"doi":"10.25504/FAIRsharing.2srshy","name":"REFOLDdb","status":"ready","contacts":[{"contact_name":"General Contact - NIG","contact_email":"webmaster@nig.ac.jp"}],"homepage":"https://pford.info/refolddb/","citations":[],"identifier":1956,"description":"REFOLDdb is a resource for the optimization of protein refolding, referring to published methods employed in the refolding of recombinant proteins. It stores a collection of published experimental approaches and records for refolding proteins. It contains data converted from the original REFOLD database that had been created and updated until 2009 by Monash University in Australia, as well as data retrieved from articles on refold technologies published since 2009.","abbreviation":"REFOLDdb","data_curation":{"url":"https://pford.info/refolddb/about.cgi?lang=EN","type":"manual"},"support_links":[{"url":"https://pford.info/refolddb/help.cgi?lang=EN","name":"Help Pages","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://pford.info/refolddb/search.cgi?lang=EN","name":"Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010553","name":"re3data:r3d100010553","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007889","name":"SciCrunch:RRID:SCR_007889","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000422","bsg-d000422"],"name":"FAIRsharing record for: REFOLDdb","abbreviation":"REFOLDdb","url":"https://fairsharing.org/10.25504/FAIRsharing.2srshy","doi":"10.25504/FAIRsharing.2srshy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REFOLDdb is a resource for the optimization of protein refolding, referring to published methods employed in the refolding of recombinant proteins. It stores a collection of published experimental approaches and records for refolding proteins. It contains data converted from the original REFOLD database that had been created and updated until 2009 by Monash University in Australia, as well as data retrieved from articles on refold technologies published since 2009.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Molecular structure","Protein folding","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Japan"],"publications":[{"id":427,"pubmed_id":16381847,"title":"The REFOLD database: a tool for the optimization of protein expression and refolding.","year":2005,"url":"http://doi.org/10.1093/nar/gkj080","authors":"Chow MK., Amin AA., Fulton KF., Fernando T., Kamau L., Batty C., Louca M., Ho S., Whisstock JC., Bottomley SP., Buckle AM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj080","created_at":"2021-09-30T08:23:06.441Z","updated_at":"2021-09-30T08:23:06.441Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1700,"relation":"undefined"}],"grants":[{"id":1292,"fairsharing_record_id":1956,"organisation_id":2019,"relation":"maintains","created_at":"2021-09-30T09:25:02.032Z","updated_at":"2021-09-30T09:25:02.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1293,"fairsharing_record_id":1956,"organisation_id":1892,"relation":"maintains","created_at":"2021-09-30T09:25:02.049Z","updated_at":"2021-09-30T09:25:02.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1892,"name":"Monash University, Melbourne, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1957","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-10T09:32:54.269Z","metadata":{"doi":"10.25504/FAIRsharing.wjzty","name":"Structural Classification Of Proteins","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"scop2@mrc-lmb.cam.ac.uk"}],"homepage":"https://www.ebi.ac.uk/pdbe/scop","citations":[],"identifier":1957,"description":"The SCOP database aims to provide a detailed and comprehensive description of the structural and evolutionary relationships between proteins whose three-dimensional structure is known and deposited in the Protein Data Bank.","abbreviation":"SCOP","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/pdbe/scop/about","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/scop","name":"Scop","type":"TeSS links to training materials"}],"year_creation":1994,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000423","bsg-d000423"],"name":"FAIRsharing record for: Structural Classification Of Proteins","abbreviation":"SCOP","url":"https://fairsharing.org/10.25504/FAIRsharing.wjzty","doi":"10.25504/FAIRsharing.wjzty","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SCOP database aims to provide a detailed and comprehensive description of the structural and evolutionary relationships between proteins whose three-dimensional structure is known and deposited in the Protein Data Bank.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":436,"pubmed_id":9016544,"title":"SCOP: a structural classification of proteins database.","year":1997,"url":"http://doi.org/10.1093/nar/25.1.236","authors":"Hubbard TJ., Murzin AG., Brenner SE., Chothia C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/25.1.236","created_at":"2021-09-30T08:23:07.383Z","updated_at":"2021-09-30T08:23:07.383Z"},{"id":440,"pubmed_id":9847194,"title":"SCOP: a Structural Classification of Proteins database.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.254","authors":"Hubbard TJ., Ailey B., Brenner SE., Murzin AG., Chothia C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/27.1.254","created_at":"2021-09-30T08:23:07.783Z","updated_at":"2021-09-30T08:23:07.783Z"},{"id":452,"pubmed_id":10089491,"title":"SCOP, Structural Classification of Proteins database: applications to evaluation of the effectiveness of sequence alignment methods and statistics of protein structural data.","year":1999,"url":"http://doi.org/10.1107/s0907444998009172","authors":"Hubbard TJ., Ailey B., Brenner SE., Murzin AG., Chothia C.,","journal":"Acta Crystallogr. D Biol. Crystallogr.","doi":"10.1107/s0907444998009172","created_at":"2021-09-30T08:23:09.067Z","updated_at":"2021-09-30T08:23:09.067Z"},{"id":1622,"pubmed_id":10592240,"title":"SCOP: a structural classification of proteins database.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.257","authors":"Lo Conte L., Ailey B., Hubbard TJ., Brenner SE., Murzin AG., Chothia C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.257","created_at":"2021-09-30T08:25:21.769Z","updated_at":"2021-09-30T08:25:21.769Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3651,"relation":"undefined"}],"grants":[{"id":1295,"fairsharing_record_id":1957,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:02.082Z","updated_at":"2021-09-30T09:25:02.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1294,"fairsharing_record_id":1957,"organisation_id":1904,"relation":"maintains","created_at":"2021-09-30T09:25:02.065Z","updated_at":"2021-09-30T09:25:02.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1904,"name":"MRC Laboratory of Molecular Biology (LMB), Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1296,"fairsharing_record_id":1957,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.099Z","updated_at":"2021-09-30T09:25:02.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbkFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a73ab0bd167ea1cddb9a506a0b8a3461acbaa4ac/scop_logo.358e74fa.png?disposition=inline","exhaustive_licences":false}},{"id":"1958","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:27:40.419Z","metadata":{"doi":"10.25504/FAIRsharing.831m3y","name":"Comprehensive Yeast Genome Database","status":"deprecated","contacts":[{"contact_email":"mips-fungi-adm@mips.gsf.de"}],"homepage":"http://mips.gsf.de/genre/proj/yeast/index.jsp","identifier":1958,"description":"A major part of this information gets extracted by manual annotation from the yeast literature, and results of the systematic functional analysis projects as well as cross-references to other in-house or external databases (NCBI, PIR, PEDANT, EMBL) provide complementary material. In addition information and links to related ascomycetous species are added as far as genomic information is available. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"CYGD","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://mips.helmholtz-muenchen.de/genre/proj/yeast/Search/pedantSearch.html","name":"advanced search"},{"url":"http://mips.helmholtz-muenchen.de/genre/proj/yeast/Search/Gise/index.html","name":"browse"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000424","bsg-d000424"],"name":"FAIRsharing record for: Comprehensive Yeast Genome Database","abbreviation":"CYGD","url":"https://fairsharing.org/10.25504/FAIRsharing.831m3y","doi":"10.25504/FAIRsharing.831m3y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A major part of this information gets extracted by manual annotation from the yeast literature, and results of the systematic functional analysis projects as well as cross-references to other in-house or external databases (NCBI, PIR, PEDANT, EMBL) provide complementary material. In addition information and links to related ascomycetous species are added as far as genomic information is available. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":438,"pubmed_id":15608217,"title":"CYGD: the Comprehensive Yeast Genome Database.","year":2004,"url":"http://doi.org/10.1093/nar/gki053","authors":"Güldener U., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki053","created_at":"2021-09-30T08:23:07.585Z","updated_at":"2021-09-30T08:23:07.585Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1065,"relation":"undefined"}],"grants":[{"id":1297,"fairsharing_record_id":1958,"organisation_id":1918,"relation":"maintains","created_at":"2021-09-30T09:25:02.115Z","updated_at":"2021-09-30T09:25:02.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":1918,"name":"Munich Information Center for Protein Sequences (MIPS), Munich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1978","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:21.327Z","metadata":{"doi":"10.25504/FAIRsharing.g7t2hv","name":"Sequence Read Archive","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"sra@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/sra","citations":[],"identifier":1978,"description":"The SRA is NIH's primary archive of high-throughput sequencing data and is part of the International Nucleotide Sequence Database Collaboration (INSDC) that includes at the NCBI Sequence Read Archive (SRA), the European Bioinformatics Institute (EBI), and the DNA Database of Japan (DDBJ). Data submitted to any of the three organizations are shared among them. SRA accepts data from all kinds of sequencing projects including clinically important studies that involve human subjects or their metagenomes, which may contain human sequences. These data often have a controlled access via dbGaP (the database of Genotypes and Phenotypes).","abbreviation":"SRA","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitupdate/","type":"manual/automated"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/books/NBK47528/","name":"SRA Handbook","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/Traces/sra","name":"Overview","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/Traces/sra_sub/sub.cgi","name":"SRA Submissions Tracking and Management","type":"Training documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/","name":"SRA in the Cloud","type":"Other"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sradownload","name":"Download SRA Sequences","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-data-formats/","name":"SRA Data Formats","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitformats/","name":"Data Format Guide","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitmeta/","name":"SRA Metadata Submissions","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitquestions/","name":"SRA FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"no","associated_tools":[{"url":"https://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?view=software","name":"NCBI SRA Toolkit"},{"url":"https://github.com/ncbi/sra-tools/wiki/","name":"SRA Toolkit"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-taxonomy-analysis-tool/","name":"SRA Taxonomy Analysis Tool (STAT)"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-aws-download/#the-sra-toolkit-in-aws","name":"SRA AWS Toolkit"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010775","name":"re3data:r3d100010775","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004891","name":"SciCrunch:RRID:SCR_004891","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://submit.ncbi.nlm.nih.gov/subs/sra/","type":"open","notes":"free login required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000444","bsg-d000444"],"name":"FAIRsharing record for: Sequence Read Archive","abbreviation":"SRA","url":"https://fairsharing.org/10.25504/FAIRsharing.g7t2hv","doi":"10.25504/FAIRsharing.g7t2hv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SRA is NIH's primary archive of high-throughput sequencing data and is part of the International Nucleotide Sequence Database Collaboration (INSDC) that includes at the NCBI Sequence Read Archive (SRA), the European Bioinformatics Institute (EBI), and the DNA Database of Japan (DDBJ). Data submitted to any of the three organizations are shared among them. SRA accepts data from all kinds of sequencing projects including clinically important studies that involve human subjects or their metagenomes, which may contain human sequences. These data often have a controlled access via dbGaP (the database of Genotypes and Phenotypes).","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17567},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10775},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10951},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11068},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11871},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12310},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12666}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Virology","Biology","Epidemiology"],"domains":["Nucleic acid sequence alignment","DNA sequence data","Nucleotide","Sequence alignment","Sequence","Gene","Allele"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":757,"pubmed_id":18045790,"title":"Database resources of the National Center for Biotechnology Information","year":2007,"url":"http://doi.org/10.1093/nar/gkm1000","authors":"Wheeler DL, et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm1000","created_at":"2021-09-30T08:23:43.345Z","updated_at":"2021-09-30T08:23:43.345Z"},{"id":2260,"pubmed_id":22009675,"title":"The Sequence Read Archive: explosive growth of sequencing data.","year":2011,"url":"http://doi.org/10.1093/nar/gkr854","authors":"Kodama Y., Shumway M., Leinonen R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr854","created_at":"2021-09-30T08:26:34.948Z","updated_at":"2021-09-30T08:26:34.948Z"},{"id":2285,"pubmed_id":25960871,"title":"Investigation into the annotation of protocol sequencing steps in the sequence read archive.","year":2015,"url":"http://doi.org/10.1186/s13742-015-0064-7","authors":"Alnasir J,Shanahan HP","journal":"Gigascience","doi":"10.1186/s13742-015-0064-7","created_at":"2021-09-30T08:26:38.444Z","updated_at":"2021-09-30T08:26:38.444Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1453,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1452,"relation":"undefined"}],"grants":[{"id":1341,"fairsharing_record_id":1978,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.249Z","updated_at":"2021-09-30T09:25:03.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1979","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:42:05.706Z","metadata":{"doi":"10.25504/FAIRsharing.13cdzp","name":"Influenza Virus Resource","status":"ready","contacts":[{"contact_name":"Yiming Bao","contact_email":"bao@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genomes/FLU/Database/nph-select.cgi?go=database","identifier":1979,"description":"Influenza Virus Resource presents data obtained from the NIAID Influenza Genome Sequencing Project as well as from GenBank, combined with tools for flu sequence analysis, annotation and submission to GenBank. In addition, it provides links to other resources that contain flu sequences, publications and general information about flu viruses.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"genomes@ncbi.nlm.nih.gov","type":"Support email"},{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"http://www.ncbi.nlm.nih.gov/genomes/FLU/help.html","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/FLU/Database/nph-select.cgi?go=alignment","name":"Align"},{"url":"http://www.ncbi.nlm.nih.gov/genomes/FLU/Database/nph-select.cgi?go=tree","name":"cluster"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011004","name":"re3data:r3d100011004","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002984","name":"SciCrunch:RRID:SCR_002984","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://submit.ncbi.nlm.nih.gov/subs/genbank/","type":"open","notes":"Free registration is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000445","bsg-d000445"],"name":"FAIRsharing record for: Influenza Virus Resource","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.13cdzp","doi":"10.25504/FAIRsharing.13cdzp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Influenza Virus Resource presents data obtained from the NIAID Influenza Genome Sequencing Project as well as from GenBank, combined with tools for flu sequence analysis, annotation and submission to GenBank. In addition, it provides links to other resources that contain flu sequences, publications and general information about flu viruses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":433,"pubmed_id":17942553,"title":"The influenza virus resource at the National Center for Biotechnology Information.","year":2007,"url":"http://doi.org/10.1128/JVI.02005-07","authors":"Bao Y., Bolotov P., Dernovoy D., Kiryutin B., Zaslavsky L., Tatusova T., Ostell J., Lipman D.,","journal":"J. Virol.","doi":"10.1128/JVI.02005-07","created_at":"2021-09-30T08:23:07.074Z","updated_at":"2021-09-30T08:23:07.074Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":920,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":922,"relation":"undefined"}],"grants":[{"id":1342,"fairsharing_record_id":1979,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.276Z","updated_at":"2021-09-30T09:25:03.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1980","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:04:26.034Z","metadata":{"doi":"10.25504/FAIRsharing.sgqf4n","name":"MapViewer","status":"deprecated","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/mapview/","identifier":1980,"description":"The Map Viewer is a tool of Entrez Genomes that provides special browsing capabilities for eukaryotic chromosomes. It allows the user to view and search an organisms complete genome, display chromosome maps, and zoom into progressively greater levels of detail, down to the sequence data for a region of interest.","abbreviation":"MapViewer","data_curation":{"type":"not found"},"support_links":[{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/projects/mapview/static/MapViewerHelp.html#ExercisesTutorials","type":"Training documentation"}],"year_creation":2000,"data_versioning":"not found","deprecation_date":"2021-06-25","deprecation_reason":"As of 2017, this resource has been superceded by the NCBI Genome Data Viewer. For more information, please see https://ncbiinsights.ncbi.nlm.nih.gov/2018/04/25/ncbi-retires-map-viewer-web-interface/","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000446","bsg-d000446"],"name":"FAIRsharing record for: MapViewer","abbreviation":"MapViewer","url":"https://fairsharing.org/10.25504/FAIRsharing.sgqf4n","doi":"10.25504/FAIRsharing.sgqf4n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Map Viewer is a tool of Entrez Genomes that provides special browsing capabilities for eukaryotic chromosomes. It allows the user to view and search an organisms complete genome, display chromosome maps, and zoom into progressively greater levels of detail, down to the sequence data for a region of interest.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["DNA sequence data","Genome visualization","Chromosome","Genome"],"taxonomies":["All","Eukaryota"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2461,"pubmed_id":11125038,"title":"Database resources of the National Center for Biotechnology Information.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.11","authors":"Wheeler DL., Church DM., Lash AE., Leipe DD., Madden TL., Pontius JU., Schuler GD., Schriml LM., Tatusova TA., Wagner L., Rapp BA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.11","created_at":"2021-09-30T08:27:01.844Z","updated_at":"2021-09-30T08:27:01.844Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1185,"relation":"undefined"}],"grants":[{"id":1343,"fairsharing_record_id":1980,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.330Z","updated_at":"2021-09-30T09:25:03.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1344,"fairsharing_record_id":1980,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.389Z","updated_at":"2021-09-30T09:25:03.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1969","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:51:22.651Z","metadata":{"doi":"10.25504/FAIRsharing.v9fya8","name":"Expressed Sequence Tags database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genbank/dbest/","citations":[],"identifier":1969,"description":"dbEST is a division of GenBank that contains sequence data and other information on \"single-pass\" cDNA sequences, or \"Expressed Sequence Tags\", from a number of organisms. ","abbreviation":"dbEST","data_curation":{"type":"not found"},"year_creation":1992,"data_versioning":"no","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/genbank/dbest/dbest_access/","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010648","name":"re3data:r3d100010648","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_016578","name":"SciCrunch:RRID:SCR_016578","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/genbank/dbest/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000435","bsg-d000435"],"name":"FAIRsharing record for: Expressed Sequence Tags database","abbreviation":"dbEST","url":"https://fairsharing.org/10.25504/FAIRsharing.v9fya8","doi":"10.25504/FAIRsharing.v9fya8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbEST is a division of GenBank that contains sequence data and other information on \"single-pass\" cDNA sequences, or \"Expressed Sequence Tags\", from a number of organisms. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12661}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Life Science"],"domains":["Expression data","Deoxyribonucleic acid","DNA sequencing assay","Complementary DNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":450,"pubmed_id":8401577,"title":"dbEST--database for \"expressed sequence tags\".","year":1993,"url":"http://doi.org/10.1038/ng0893-332","authors":"Boguski MS., Lowe TM., Tolstoshev CM.,","journal":"Nat. Genet.","doi":"10.1038/ng0893-332","created_at":"2021-09-30T08:23:08.858Z","updated_at":"2021-09-30T08:23:08.858Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1234,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1237,"relation":"undefined"}],"grants":[{"id":1323,"fairsharing_record_id":1969,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.594Z","updated_at":"2021-09-30T09:25:02.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1324,"fairsharing_record_id":1969,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.618Z","updated_at":"2021-09-30T09:25:02.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1970","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.531Z","metadata":{"doi":"10.25504/FAIRsharing.r90425","name":"dbMHC","status":"deprecated","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/mhc/","identifier":1970,"description":"dbMHC provides access to HLA sequences, tools to support genetic testing of HLA loci, HLA allele and haplotype frequencies of over 90 populations worldwide, as well as clinical datasets on nematopoietic stem cell transplantation, and insulin dependant diabetes mellitus (IDDM), Rheumatoid Arthritis (RA), Narcolepsy and Spondyloarthropathy. All clinical datasets housed at the dbMHC provide access to genotypic and phenotypic data on anonimyzed samples with aggregate query functions, and complete download capability.","abbreviation":"dbMHC","data_curation":{"type":"not found"},"support_links":[{"url":"dbMHC@ncbi.nlm.nih.gov","type":"Support email"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK21080/","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/projects/gv/mhc/align.fcgi?cmd=aligndisplay\u0026user_id=0\u0026probe_id=0\u0026source_id=0\u0026locus_id=0\u0026locus_group=1\u0026proto_id=0\u0026kit_id=0\u0026banner=1","name":"align"}],"deprecation_date":"2021-06-24","deprecation_reason":"The database is no longer available. Message on the homepage: \"The dbMHC database was an open, publicly accessible platform for DNA and clinical data related to the human Major Histocompatibility Complex (MHC). Data from IHWG workshops were provided as well. Data previously on the site are now available at ftp://ftp.ncbi.nlm.nih.gov/pub/mhc/mhc/Final Archive. If you have any specific questions, please feel free to contact us at info@ncbi.nlm.nih.gov.\"","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000436","bsg-d000436"],"name":"FAIRsharing record for: dbMHC","abbreviation":"dbMHC","url":"https://fairsharing.org/10.25504/FAIRsharing.r90425","doi":"10.25504/FAIRsharing.r90425","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbMHC provides access to HLA sequences, tools to support genetic testing of HLA loci, HLA allele and haplotype frequencies of over 90 populations worldwide, as well as clinical datasets on nematopoietic stem cell transplantation, and insulin dependant diabetes mellitus (IDDM), Rheumatoid Arthritis (RA), Narcolepsy and Spondyloarthropathy. All clinical datasets housed at the dbMHC provide access to genotypic and phenotypic data on anonimyzed samples with aggregate query functions, and complete download capability.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12662}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Deoxyribonucleic acid","Human leukocyte antigen complex"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1844,"relation":"undefined"}],"grants":[{"id":1325,"fairsharing_record_id":1970,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.647Z","updated_at":"2021-09-30T09:25:02.647Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1971","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:13:41.283Z","metadata":{"doi":"10.25504/FAIRsharing.64bk6p","name":"NCBI Probe Database","status":"deprecated","contacts":[{"contact_email":"probe-admin@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/probe","identifier":1971,"description":"The NCBI Probe Database is a public registry of nucleic acid reagents designed for use in a wide variety of biomedical research applications, together with information on reagent distributors, probe effectiveness, and computed sequence similarities.","abbreviation":"ProbeDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/projects/genome/probe/doc/Overview.shtml","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/probe/docs/","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/probe/docs/querytips/","type":"Training documentation"},{"url":"http://www.ncbi.nlm.nih.gov/probe/docs/glossary/","type":"Training documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/projects/genome/probe/doc/Submitting.shtml","name":"submit"},{"url":"http://www.ncbi.nlm.nih.gov/projects/linkout/","name":"LinkOut"},{"url":"http://www.ncbi.nlm.nih.gov/tools/epcr/","name":"ePCR"},{"url":"http://www.ncbi.nlm.nih.gov/tools/primer-blast/index.cgi","name":"Primer-Blast"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010780","name":"re3data:r3d100010780","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004816","name":"SciCrunch:RRID:SCR_004816","portal":"SciCrunch"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available from April 2020. The data can still be retrieved from their FTP servers. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000437","bsg-d000437"],"name":"FAIRsharing record for: NCBI Probe Database","abbreviation":"ProbeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.64bk6p","doi":"10.25504/FAIRsharing.64bk6p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCBI Probe Database is a public registry of nucleic acid reagents designed for use in a wide variety of biomedical research applications, together with information on reagent distributors, probe effectiveness, and computed sequence similarities.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12663}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Polymerase chain reaction primers","Expression data","Oligonucleotide probe annotation","Nucleotide","Genetic polymorphism"],"taxonomies":["All"],"user_defined_tags":["Mapping information and coding potential"],"countries":["United States"],"publications":[{"id":453,"pubmed_id":23193264,"title":"Database resources of the National Center for Biotechnology Information.","year":2012,"url":"http://doi.org/10.1093/nar/gks1189","authors":"NCBI Resource Coordinators","journal":"Nucleic Acids Res.","doi":"23193264","created_at":"2021-09-30T08:23:09.175Z","updated_at":"2021-09-30T08:23:09.175Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2337,"relation":"undefined"}],"grants":[{"id":1326,"fairsharing_record_id":1971,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.690Z","updated_at":"2021-09-30T09:25:02.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1967","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:21:41.039Z","metadata":{"doi":"10.25504/FAIRsharing.b9st5p","name":"Conserved Domain Database","status":"ready","contacts":[{"contact_name":"Aron Marchler-Bauer","contact_email":"bauer@ncbi.nlm.nih.gov","contact_orcid":"0000-0003-1516-0712"}],"homepage":"https://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml","citations":[{"doi":"10.1093/nar/gkac1096","pubmed_id":null,"publication_id":3857}],"identifier":1967,"description":"The Conserved Domain Database (CDD) brings together several collections of multiple sequence alignments representing conserved domains, including NCBI-curated domains, which use 3D-structure information to explicitly to define domain boundaries and provide insights into sequence/structure/function relationships, as well as domain models imported from a number of external source databases (Pfam, SMART, COG, NCBI Protein Clusters, TIGRFAM, NCBIfam). NCBI-curated models are organized hierarchically into families, sub- and super-families, and come with annotation of functional sites.","abbreviation":"CDD","data_curation":{"url":"https://doi.org/10.1093/nar/gkac1096","type":"manual"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/Structure/cdd/docs/cdd_news.html","name":"News","type":"Blog/News"},{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/cdd/cdd_help.shtml","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/Structure/cdtree/cdtree.shtml","name":"CDTree (domain hierarchy editor) 3.1"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/CN3D/cn3d.shtml","name":"Cn3D (structure viewer and alignment editor) 4.3.1"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi","name":"CD-Search (domain annotation for a single sequence)"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi","name":"BATCH CD-Search (domain annotation for a set of sequences)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010653","name":"re3data:r3d100010653","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002077","name":"SciCrunch:RRID:SCR_002077","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000433","bsg-d000433"],"name":"FAIRsharing record for: Conserved Domain Database","abbreviation":"CDD","url":"https://fairsharing.org/10.25504/FAIRsharing.b9st5p","doi":"10.25504/FAIRsharing.b9st5p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Conserved Domain Database (CDD) brings together several collections of multiple sequence alignments representing conserved domains, including NCBI-curated domains, which use 3D-structure information to explicitly to define domain boundaries and provide insights into sequence/structure/function relationships, as well as domain models imported from a number of external source databases (Pfam, SMART, COG, NCBI Protein Clusters, TIGRFAM, NCBIfam). NCBI-curated models are organized hierarchically into families, sub- and super-families, and come with annotation of functional sites.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12660}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Functional domain","Molecular structure","Protein structure","Protein domain","Annotation","Multiple sequence alignment","Sequence alignment","Structure","Protein","Sequence feature","Literature curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":266,"pubmed_id":18984618,"title":"CDD: specific functional annotation with the Conserved Domain Database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn845","authors":"Marchler-Bauer A., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn845","created_at":"2021-09-30T08:22:48.765Z","updated_at":"2021-09-30T08:22:48.765Z"},{"id":488,"pubmed_id":27899674,"title":"CDD/SPARCLE: functional classification of proteins via subfamily domain architectures.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1129","authors":"Marchler-Bauer A,Bo Y,Han L,He J,Lanczycki CJ,Lu S,Chitsaz F,Derbyshire MK,Geer RC,Gonzales NR,Gwadz M,Hurwitz DI,Lu F,Marchler GH,Song JS,Thanki N,Wang Z,Yamashita RA,Zhang D,Zheng C,Geer LY,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1129","created_at":"2021-09-30T08:23:13.073Z","updated_at":"2021-09-30T11:28:46.793Z"},{"id":779,"pubmed_id":23197659,"title":"CDD: conserved domains and protein three-dimensional structure","year":2012,"url":"http://doi.org/10.1093/nar/gks1243","authors":"Marchler-Bauer A., Zheng C., Chitsaz F., Derbyshire MK., Geer LY., Geer RC., Gonzales NR., Gwadz M., Hurwitz DI., Lanczycki CJ., Lu F., Lu S., Marchler GH., Song JS., Thanki N., Yamashita RA., Zhang D., Bryant SH.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1243","created_at":"2021-09-30T08:23:45.837Z","updated_at":"2021-09-30T08:23:45.837Z"},{"id":1056,"pubmed_id":25414356,"title":"CDD: NCBI's conserved domain database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1221","authors":"Marchler-Bauer A, Derbyshire MK, Gonzales NR, Lu S, Chitsaz F, Geer LY, Geer RC, He J, Gwadz M, Hurwitz DI, Lanczycki CJ, Lu F, Marchler GH, Song JS, Thanki N, Wang Z, Yamashita RA, Zhang D, Zheng C, Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1221","created_at":"2021-09-30T08:24:16.947Z","updated_at":"2021-09-30T08:24:16.947Z"},{"id":3857,"pubmed_id":null,"title":"The conserved domain database in 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1096","authors":"Wang, Jiyao; Chitsaz, Farideh; Derbyshire, Myra K; Gonzales, Noreen R; Gwadz, Marc; Lu, Shennan; Marchler, Gabriele H; Song, James S; Thanki, Narmada; Yamashita, Roxanne A; Yang, Mingzhang; Zhang, Dachuan; Zheng, Chanjuan; Lanczycki, Christopher J; Marchler-Bauer, Aron; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1096","created_at":"2023-05-02T18:29:43.040Z","updated_at":"2023-05-02T18:29:43.040Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":271,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":272,"relation":"undefined"}],"grants":[{"id":1320,"fairsharing_record_id":1967,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.508Z","updated_at":"2021-09-30T09:25:02.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9162,"fairsharing_record_id":1967,"organisation_id":2045,"relation":"funds","created_at":"2022-04-11T12:07:18.576Z","updated_at":"2022-04-11T12:07:18.576Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1968","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:12.309Z","metadata":{"doi":"10.25504/FAIRsharing.djsbw2","name":"Clusters of Orthologous Groups of Proteins: Phylogenetic classification of proteins encoded in complete genomes","status":"ready","contacts":[{"contact_name":"Eugene V Koonin","contact_email":"koonin@ncbi.nlm.nih.gov","contact_orcid":"0000-0003-3943-8299"}],"homepage":"https://www.ncbi.nlm.nih.gov/research/cog/","citations":[],"identifier":1968,"description":"Clusters of Orthologous Groups of proteins (COGs) were delineated by comparing protein sequences encoded in complete genomes, representing major phylogenetic lineages. Each COG consists of individual proteins or groups of paralogs from at least 3 lineages and thus corresponds to an ancient conserved domain.","abbreviation":"COG","data_curation":{"type":"not found"},"year_creation":1996,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000434","bsg-d000434"],"name":"FAIRsharing record for: Clusters of Orthologous Groups of Proteins: Phylogenetic classification of proteins encoded in complete genomes","abbreviation":"COG","url":"https://fairsharing.org/10.25504/FAIRsharing.djsbw2","doi":"10.25504/FAIRsharing.djsbw2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Clusters of Orthologous Groups of proteins (COGs) were delineated by comparing protein sequences encoded in complete genomes, representing major phylogenetic lineages. Each COG consists of individual proteins or groups of paralogs from at least 3 lineages and thus corresponds to an ancient conserved domain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":434,"pubmed_id":9381173,"title":"A genomic perspective on protein families.","year":1997,"url":"http://doi.org/10.1126/science.278.5338.631","authors":"Tatusov RL., Koonin EV., Lipman DJ.,","journal":"Science","doi":"10.1126/science.278.5338.631","created_at":"2021-09-30T08:23:07.176Z","updated_at":"2021-09-30T08:23:07.176Z"},{"id":912,"pubmed_id":25428365,"title":"Expanded microbial genome coverage and improved protein family annotation in the COG database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1223","authors":"Galperin MY,Makarova KS,Wolf YI,Koonin EV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1223","created_at":"2021-09-30T08:24:00.719Z","updated_at":"2021-09-30T11:28:55.268Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1506,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1509,"relation":"undefined"}],"grants":[{"id":1322,"fairsharing_record_id":1968,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.562Z","updated_at":"2021-09-30T09:25:02.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1981","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:15:12.453Z","metadata":{"doi":"10.25504/FAIRsharing.zqzvyc","name":"NCBI Structure","status":"ready","contacts":[{"contact_name":"Thomas Madej","contact_email":"madej@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/structure","citations":[],"identifier":1981,"description":"NCBI Structure, as part of the Entrez system, facilitates access to structure data by connecting them with associated literature, protein and nucleic acid sequences, chemicals, biomolecular interactions, and more.\nNote that this resource was also known as Molecular Modeling Database (MMDB).","abbreviation":null,"data_curation":{"url":"https://www.ncbi.nlm.nih.gov/Structure/MMDB/docs/mmdb_help.html","type":"manual/automated"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd_help.shtml","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/structure","name":"Entrez structure search"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/CN3D/cn3d.shtml","name":"Cn3D structure viewer 4.3.1"},{"url":"http://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins\u0026PROGRAM=blastp\u0026BLAST_PROGRAMS=blastp\u0026PAGE_TYPE=BlastSearch\u0026DATABASE=pdb","name":"BLAST"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/VAST/vastsearch.html","name":"VAST Search for Similar Structures"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/vastplus/vastplus.cgi","name":"VAST+ similar structure assemblies"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/icn3d/","name":"iCn3D - WebGL-based 3D structure viewer 2.24.7"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010779","name":"re3data:r3d100010779","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004218","name":"SciCrunch:RRID:SCR_004218","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/Structure/MMDB/docs/mmdb_help.html","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/Structure/MMDB/docs/mmdb_help.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000447","bsg-d000447"],"name":"FAIRsharing record for: NCBI Structure","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zqzvyc","doi":"10.25504/FAIRsharing.zqzvyc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NCBI Structure, as part of the Entrez system, facilitates access to structure data by connecting them with associated literature, protein and nucleic acid sequences, chemicals, biomolecular interactions, and more.\nNote that this resource was also known as Molecular Modeling Database (MMDB).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Modeling and simulation","Molecular interaction","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":179,"pubmed_id":24319143,"title":"MMDB and VAST+: tracking structural similarities between macromolecular complexes.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1208","authors":"Madej T,Lanczycki CJ,Zhang D,Thiessen PA,Geer RC,Marchler-Bauer A,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1208","created_at":"2021-09-30T08:22:39.578Z","updated_at":"2021-09-30T11:28:43.658Z"},{"id":1504,"pubmed_id":17135201,"title":"MMDB: annotating protein sequences with Entrez's 3D-structure database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl952","authors":"Wang Y., Addess KJ., Chen J., Geer LY., He J., He S., Lu S., Madej T., Marchler-Bauer A., Thiessen PA., Zhang N., Bryant SH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl952","created_at":"2021-09-30T08:25:08.378Z","updated_at":"2021-09-30T08:25:08.378Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":142,"relation":"undefined"}],"grants":[{"id":1345,"fairsharing_record_id":1981,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.420Z","updated_at":"2021-09-30T09:25:03.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1982","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:32.726Z","metadata":{"doi":"10.25504/FAIRsharing.rtndct","name":"The Protein Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/protein","citations":[],"identifier":1982,"description":"The Protein database is a collection of sequences from several sources, including translations from annotated coding regions in GenBank, RefSeq and TPA, as well as records from UniProt/SwissProt, PIR, PRF, and PDB. Protein sequences are the fundamental determinants of biological structure and function.","abbreviation":"Protein","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/books/NBK49541/#NucProtFAQ.1_why_are_there_records_that","type":"manual/automated","notes":"RefSeqs are curated from single or multiple sequence records"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/books/NBK49541/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK44863/","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"https://blast.ncbi.nlm.nih.gov/Blast.cgi","name":"BLAST"},{"url":"https://www.ncbi.nlm.nih.gov/entrez/linkout","name":"LinkOut"},{"url":"https://www.ncbi.nlm.nih.gov/sites/batchentrez","name":"Batch Entrez"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010776","name":"re3data:r3d100010776","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003257","name":"SciCrunch:RRID:SCR_003257","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.nlm.nih.gov/web_policies.html#copyright","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/books/NBK49541/#NucProtFAQ.8_what_are_the_sources_of_the","type":"controlled","notes":"The Protein database is a collection of sequences from several sources"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000448","bsg-d000448"],"name":"FAIRsharing record for: The Protein Database","abbreviation":"Protein","url":"https://fairsharing.org/10.25504/FAIRsharing.rtndct","doi":"10.25504/FAIRsharing.rtndct","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein database is a collection of sequences from several sources, including translations from annotated coding regions in GenBank, RefSeq and TPA, as well as records from UniProt/SwissProt, PIR, PRF, and PDB. Protein sequences are the fundamental determinants of biological structure and function.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology","Translational Medicine"],"domains":["Annotation","Gene functional annotation","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":453,"pubmed_id":23193264,"title":"Database resources of the National Center for Biotechnology Information.","year":2012,"url":"http://doi.org/10.1093/nar/gks1189","authors":"NCBI Resource Coordinators","journal":"Nucleic Acids Res.","doi":"23193264","created_at":"2021-09-30T08:23:09.175Z","updated_at":"2021-09-30T08:23:09.175Z"},{"id":1080,"pubmed_id":26615191,"title":"Database resources of the National Center for Biotechnology Information.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1290","authors":"NCBI Resource Coordinators","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1290","created_at":"2021-09-30T08:24:19.637Z","updated_at":"2021-09-30T11:28:57.992Z"}],"licence_links":[{"licence_name":"NLM Copyright Information","licence_id":592,"licence_url":"https://www.nlm.nih.gov/web_policies.html#copyright","link_id":2785,"relation":"applies_to_content"}],"grants":[{"id":1346,"fairsharing_record_id":1982,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.479Z","updated_at":"2022-08-02T14:46:06.875Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1972","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:47.354Z","metadata":{"doi":"10.25504/FAIRsharing.edxb58","name":"Database of Single Nucleotide Polymorphism","status":"ready","contacts":[{"contact_name":"dbSNP Admin","contact_email":"snp-admin@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/snp/","citations":[],"identifier":1972,"description":"dbSNP contains human single nucleotide variations, microsatellites, and small-scale insertions and deletions along with publication, population frequency, molecular consequence, and genomic and RefSeq mapping information for both common variations and clinical mutations.","abbreviation":"dbSNP","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/snp/docs/RefSNP_about/","type":"manual/automated"},"support_links":[{"url":"https://ncbiinsights.ncbi.nlm.nih.gov/tag/dbsnp/","name":"NCBI Insights","type":"Blog/News"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3848/","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/mailman/listinfo/dbsnp-announce","name":"dbsnp-announce","type":"Mailing list"},{"url":"https://github.com/ncbi/dbsnp/tree/master/tutorials","name":"Online tutorials","type":"Github"}],"year_creation":1998,"data_versioning":"yes","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/snp/docs/submission/hts_launch_and_introductory_material","name":"Submission"},{"url":"https://api.ncbi.nlm.nih.gov/variation/v0/","name":"Variation Service"},{"url":"https://www.ncbi.nlm.nih.gov/variation/view","name":"Variation Viewer"},{"url":"ftp://ftp.ncbi.nlm.nih.gov/snp/","name":"FTP"},{"url":"http://www.ncbi.nlm.nih.gov/snp","name":"Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010652","name":"re3data:r3d100010652","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002338","name":"SciCrunch:RRID:SCR_002338","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/snp/docs/submission/hts_launch_and_introductory_material/","type":"open","notes":"Only human SNPs are accepted."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000438","bsg-d000438"],"name":"FAIRsharing record for: Database of Single Nucleotide Polymorphism","abbreviation":"dbSNP","url":"https://fairsharing.org/10.25504/FAIRsharing.edxb58","doi":"10.25504/FAIRsharing.edxb58","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbSNP contains human single nucleotide variations, microsatellites, and small-scale insertions and deletions along with publication, population frequency, molecular consequence, and genomic and RefSeq mapping information for both common variations and clinical mutations.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10773},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10949},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11010},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11066}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic polymorphism","Single nucleotide polymorphism","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":435,"pubmed_id":11125122,"title":"dbSNP: the NCBI database of genetic variation.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.308","authors":"Sherry ST., Ward MH., Kholodov M., Baker J., Phan L., Smigielski EM., Sirotkin K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.308","created_at":"2021-09-30T08:23:07.283Z","updated_at":"2021-09-30T08:23:07.283Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":217,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":218,"relation":"undefined"}],"grants":[{"id":1327,"fairsharing_record_id":1972,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.732Z","updated_at":"2021-09-30T09:25:02.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1328,"fairsharing_record_id":1972,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.774Z","updated_at":"2021-09-30T09:25:02.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1973","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-12-06T10:49:22.296Z","metadata":{"doi":"10.25504/FAIRsharing.wk5azf","name":"Database of Sequence Tagged Sites","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/dbSTS/index.html","identifier":1973,"description":"dbSTS is an NCBI resource that contains sequence data for short genomic landmark sequences or Sequence Tagged Sites.","abbreviation":"dbSTS","data_curation":{"type":"not found"},"year_creation":1988,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010649","name":"re3data:r3d100010649","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000400","name":"SciCrunch:RRID:SCR_000400","portal":"SciCrunch"}],"deprecation_date":"2021-9-23","deprecation_reason":"This resource has been incorporated into Genbank, and all data can be searched and submitted via that resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000439","bsg-d000439"],"name":"FAIRsharing record for: Database of Sequence Tagged Sites","abbreviation":"dbSTS","url":"https://fairsharing.org/10.25504/FAIRsharing.wk5azf","doi":"10.25504/FAIRsharing.wk5azf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbSTS is an NCBI resource that contains sequence data for short genomic landmark sequences or Sequence Tagged Sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Nucleic acid sequence","DNA sequence data","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1,"pubmed_id":2781285,"title":"A common language for physical mapping of the human genome.","year":1989,"url":"http://doi.org/10.1126/science.2781285","authors":"Olson M,Hood L,Cantor C,Botstein D","journal":"Science","doi":"10.1126/science.2781285","created_at":"2021-09-30T08:22:20.699Z","updated_at":"2021-09-30T08:22:20.699Z"},{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1270,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1274,"relation":"undefined"}],"grants":[{"id":1329,"fairsharing_record_id":1973,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.816Z","updated_at":"2021-09-30T09:25:02.816Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1330,"fairsharing_record_id":1973,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.853Z","updated_at":"2021-09-30T09:25:02.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1959","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:25.961Z","metadata":{"doi":"10.25504/FAIRsharing.ncgh1j","name":"Pathway Interaction Database","status":"deprecated","contacts":[{"contact_name":"Carl F. Schaefer","contact_email":"schaefec@mail.nih.gov"}],"homepage":"http://pid.nci.nih.gov/","identifier":1959,"description":"The Pathway Interaction Database is a highly-structured, curated collection of information about known biomolecular interactions and key cellular processes assembled into signaling pathways.","abbreviation":"PID","data_curation":{"type":"not found"},"support_links":[{"url":"ncicb@pop.nci.nih.go","type":"Support email"}],"year_creation":2008,"data_versioning":"not found","deprecation_date":"2019-01-13","deprecation_reason":"The NCI PID data portal has been retired. Please see https://wiki.nci.nih.gov/pages/viewpage.action?pageId=315491760 for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000425","bsg-d000425"],"name":"FAIRsharing record for: Pathway Interaction Database","abbreviation":"PID","url":"https://fairsharing.org/10.25504/FAIRsharing.ncgh1j","doi":"10.25504/FAIRsharing.ncgh1j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pathway Interaction Database is a highly-structured, curated collection of information about known biomolecular interactions and key cellular processes assembled into signaling pathways.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Signaling","Molecular interaction","Small molecule","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":429,"pubmed_id":18832364,"title":"PID: the Pathway Interaction Database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn653","authors":"Schaefer CF., Anthony K., Krupa S., Buchoff J., Day M., Hannay T., Buetow KH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn653","created_at":"2021-09-30T08:23:06.658Z","updated_at":"2021-09-30T08:23:06.658Z"}],"licence_links":[],"grants":[{"id":1298,"fairsharing_record_id":1959,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:25:02.132Z","updated_at":"2021-09-30T09:25:02.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1960","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T07:53:24.628Z","metadata":{"doi":"10.25504/FAIRsharing.gdqqm0","name":"caArray","status":"deprecated","contacts":[],"homepage":"https://array.nci.nih.gov/caarray/home.action","citations":[],"identifier":1960,"description":"The Cancer gene expression and microarray data of the National Cancer Institute","abbreviation":"caArray","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2015-07-07","deprecation_reason":"This resource is obsolete and no longer maintained. Data available via GEO (https://www.biosharing.org/biodbcore-000441). See https://wiki.nci.nih.gov/display/caArray2/caArray+Retirement+Announcement for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000426","bsg-d000426"],"name":"FAIRsharing record for: caArray","abbreviation":"caArray","url":"https://fairsharing.org/10.25504/FAIRsharing.gdqqm0","doi":"10.25504/FAIRsharing.gdqqm0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer gene expression and microarray data of the National Cancer Institute","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Expression data"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":506,"relation":"undefined"}],"grants":[{"id":1299,"fairsharing_record_id":1960,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:25:02.149Z","updated_at":"2021-09-30T09:25:02.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1984","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:37.830Z","metadata":{"doi":"10.25504/FAIRsharing.qt5ky7","name":"NCBI Viral Genomes Resource","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"genomes@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genome/viruses/","citations":[{"doi":"10.1093/nar/gku1207","pubmed_id":25428358,"publication_id":1516}],"identifier":1984,"description":"NCBI Virus is an integrative, value-added resource designed to support retrieval, display and analysis of a curated collection of virus sequences and large sequence datasets. We are a community portal for viral sequence data, and our goal is to increase the usability of data archived in GenBank and other NCBI repositories.\n\nNCBI Viral Genomes Resource is a collection of virus genomic sequences that provides curated sequence data, related information and tools. It includes all complete viral genome sequences deposited in the International Nucleotide Sequence Database Collaboration (INSDC) databases, i.e. DDBJ, EMBL, and GenBank. Data are organized by viral taxonomy, and reference sequence records (RefSeqs) from one or more genome sequences for each viral species. After a RefSeq has been created for a species, other complete genomes from that same species are indexed as neighbors to the RefSeq.","abbreviation":"NCBI Virus","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/genome/viruses/about/HowTo/#refseq_curation_and_content","type":"manual","notes":"The content and curation of viral reference sequences"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/genome/viruses/about/HowTo/","name":"User Guide","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genome/viruses/about/","name":"Overview","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000450","bsg-d000450"],"name":"FAIRsharing record for: NCBI Viral Genomes Resource","abbreviation":"NCBI Virus","url":"https://fairsharing.org/10.25504/FAIRsharing.qt5ky7","doi":"10.25504/FAIRsharing.qt5ky7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NCBI Virus is an integrative, value-added resource designed to support retrieval, display and analysis of a curated collection of virus sequences and large sequence datasets. We are a community portal for viral sequence data, and our goal is to increase the usability of data archived in GenBank and other NCBI repositories.\n\nNCBI Viral Genomes Resource is a collection of virus genomic sequences that provides curated sequence data, related information and tools. It includes all complete viral genome sequences deposited in the International Nucleotide Sequence Database Collaboration (INSDC) databases, i.e. DDBJ, EMBL, and GenBank. Data are organized by viral taxonomy, and reference sequence records (RefSeqs) from one or more genome sequences for each viral species. After a RefSeq has been created for a species, other complete genomes from that same species are indexed as neighbors to the RefSeq.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12667}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Virology"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Viral genome","Genome"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1516,"pubmed_id":25428358,"title":"NCBI viral genomes resource.","year":2014,"url":"http://doi.org/10.1093/nar/gku1207","authors":"Brister JR,Ako-Adjei D,Bao Y,Blinkova O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1207","created_at":"2021-09-30T08:25:09.665Z","updated_at":"2021-09-30T11:29:11.834Z"},{"id":3416,"pubmed_id":null,"title":"Virus Variation Resource – improved response to emergent viral outbreaks","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkw1065","authors":"Hatcher, Eneida L.; Zhdanov, Sergey A.; Bao, Yiming; Blinkova, Olga; Nawrocki, Eric P.; Ostapchuck, Yuri; Schäffer, Alejandro A.; Brister, J. Rodney; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1065","created_at":"2022-06-01T01:16:24.308Z","updated_at":"2022-06-01T01:16:24.308Z"},{"id":3417,"pubmed_id":null,"title":"Minimum Information about an Uncultivated Virus Genome (MIUViG)","year":2018,"url":"http://dx.doi.org/10.1038/nbt.4306","authors":"Roux, Simon; Adriaenssens, Evelien M; Dutilh, Bas E; Koonin, Eugene V; Kropinski, Andrew M; Krupovic, Mart; Kuhn, Jens H; Lavigne, Rob; Brister, J Rodney; Varsani, Arvind; Amid, Clara; Aziz, Ramy K; Bordenstein, Seth R; Bork, Peer; Breitbart, Mya; Cochrane, Guy R; Daly, Rebecca A; Desnues, Christelle; Duhaime, Melissa B; Emerson, Joanne B; Enault, François; Fuhrman, Jed A; Hingamp, Pascal; Hugenholtz, Philip; Hurwitz, Bonnie L; Ivanova, Natalia N; Labonté, Jessica M; Lee, Kyung-Bum; Malmstrom, Rex R; Martinez-Garcia, Manuel; Mizrachi, Ilene Karsch; Ogata, Hiroyuki; Páez-Espino, David; Petit, Marie-Agnès; Putonti, Catherine; Rattei, Thomas; Reyes, Alejandro; Rodriguez-Valera, Francisco; Rosario, Karyna; Schriml, Lynn; Schulz, Frederik; Steward, Grieg F; Sullivan, Matthew B; Sunagawa, Shinichi; Suttle, Curtis A; Temperton, Ben; Tringe, Susannah G; Thurber, Rebecca Vega; Webster, Nicole S; Whiteson, Katrine L; Wilhelm, Steven W; Wommack, K Eric; Woyke, Tanja; Wrighton, Kelly C; Yilmaz, Pelin; Yoshida, Takashi; Young, Mark J; Yutin, Natalya; Allen, Lisa Zeigler; Kyrpides, Nikos C; Eloe-Fadrosh, Emiley A; ","journal":"Nat Biotechnol","doi":"10.1038/nbt.4306","created_at":"2022-06-01T01:17:46.666Z","updated_at":"2022-06-01T01:17:46.666Z"},{"id":3418,"pubmed_id":null,"title":"Overlapping genes and the proteins they encode differ significantly in their sequence composition from non-overlapping genes","year":2018,"url":"http://dx.doi.org/10.1371/journal.pone.0202513","authors":"Pavesi, Angelo; Vianelli, Alberto; Chirico, Nicola; Bao, Yiming; Blinkova, Olga; Belshaw, Robert; Firth, Andrew; Karlin, David; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0202513","created_at":"2022-06-01T02:05:46.663Z","updated_at":"2022-06-01T02:05:46.663Z"},{"id":3419,"pubmed_id":null,"title":"How to Name and Classify Your Phage: An Informal Guide","year":2017,"url":"http://dx.doi.org/10.3390/v9040070","authors":"Adriaenssens, Evelien; Brister, J. Rodney; ","journal":"Viruses","doi":"10.3390/v9040070","created_at":"2022-06-01T02:08:05.970Z","updated_at":"2022-06-01T02:08:05.970Z"},{"id":3420,"pubmed_id":null,"title":"Virus taxonomy in the age of metagenomics","year":2017,"url":"http://dx.doi.org/10.1038/nrmicro.2016.177","authors":"Simmonds, Peter; Adams, Mike J.; Benkő, Mária; Breitbart, Mya; Brister, J. Rodney; Carstens, Eric B.; Davison, Andrew J.; Delwart, Eric; Gorbalenya, Alexander E.; Harrach, Balázs; Hull, Roger; King, Andrew M.Q.; Koonin, Eugene V.; Krupovic, Mart; Kuhn, Jens H.; Lefkowitz, Elliot J.; Nibert, Max L.; Orton, Richard; Roossinck, Marilyn J.; Sabanadzovic, Sead; Sullivan, Matthew B.; Suttle, Curtis A.; Tesh, Robert B.; van der Vlugt, René A.; Varsani, Arvind; Zerbini, F. Murilo; ","journal":"Nat Rev Microbiol","doi":"10.1038/nrmicro.2016.177","created_at":"2022-06-01T02:08:32.422Z","updated_at":"2022-06-01T02:08:32.422Z"},{"id":3421,"pubmed_id":null,"title":"NCBI will no longer make taxonomy identifiers for individual influenza strains on January 15, 2018","year":2018,"url":"http://dx.doi.org/10.7287/peerj.preprints.3428v1","authors":"Hatcher, Eneida; Bao, Yiming; Amedeo, Paolo; Blinkova, Olga; Cochrane, Guy; Fedorova, Nadia; Gruner, William; Leipe, Detlef; Nakamura, Yasukazu; Ostapchuk, Yuri; Palanigobu, Vasuki; Sanders, Robert; Schoch, Conrad; Smith, Catherine; Wentworth, David; Yankie, Linda; Zhdanov, Sergey; Karsch-Mizrachi, Ilene; Brister, J. Rodney; ","journal":"PeerJ","doi":"10.7287/peerj.preprints.3428v1","created_at":"2022-06-01T02:09:21.534Z","updated_at":"2022-06-01T02:09:21.534Z"},{"id":3422,"pubmed_id":null,"title":"NCBI Viral Genomes Resource","year":2014,"url":"http://dx.doi.org/10.1093/nar/gku1207","authors":"Brister, J. Rodney; Ako-adjei, Danso; Bao, Yiming; Blinkova, Olga; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1207","created_at":"2022-06-01T02:10:14.717Z","updated_at":"2022-06-01T02:10:14.717Z"},{"id":3423,"pubmed_id":null,"title":"HIV-1, human interaction database: current status and new features","year":2014,"url":"http://dx.doi.org/10.1093/nar/gku1126","authors":"Ako-Adjei, Danso; Fu, William; Wallin, Craig; Katz, Kenneth S.; Song, Guangfeng; Darji, Dakshesh; Brister, J. Rodney; Ptak, Roger G.; Pruitt, Kim D.; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1126","created_at":"2022-06-01T02:11:49.545Z","updated_at":"2022-06-01T02:11:49.545Z"},{"id":3424,"pubmed_id":null,"title":"The Influenza Virus Resource at the National Center for Biotechnology Information","year":2007,"url":"http://dx.doi.org/10.1128/jvi.02005-07","authors":"Bao, Yiming; Bolotov, Pavel; Dernovoy, Dmitry; Kiryutin, Boris; Zaslavsky, Leonid; Tatusova, Tatiana; Ostell, Jim; Lipman, David; ","journal":"J Virol","doi":"10.1128/jvi.02005-07","created_at":"2022-06-01T02:12:12.246Z","updated_at":"2022-06-01T02:12:12.246Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2031,"relation":"undefined"},{"licence_name":"NCBI Viral Genomes Resource Attribution required","licence_id":557,"licence_url":"https://www.ncbi.nlm.nih.gov/genome/viruses/variation/publications/","link_id":2027,"relation":"undefined"}],"grants":[{"id":1349,"fairsharing_record_id":1984,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.585Z","updated_at":"2021-09-30T09:25:03.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1985","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:53:07.530Z","metadata":{"doi":"10.25504/FAIRsharing.99sey6","name":"Organelle Genome Resource","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/genomes/GenomesHome.cgi?taxid=2759\u0026hopt=html","identifier":1985,"description":"The organelle genomes are part of the NCBI Reference Sequence (RefSeq) project that provides curated sequence data and related information for the community to use as a standard.","abbreviation":null,"data_curation":{"type":"manual/automated","notes":"The organelle genomes are part of the NCBI Reference Sequence (RefSeq) project that provides curated sequence data."},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/GenomesHome.cgi?taxid=2759\u0026hopt=faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1986,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000451","bsg-d000451"],"name":"FAIRsharing record for: Organelle Genome Resource","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.99sey6","doi":"10.25504/FAIRsharing.99sey6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The organelle genomes are part of the NCBI Reference Sequence (RefSeq) project that provides curated sequence data and related information for the community to use as a standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Ribonucleic acid","Structure","Genome"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":806,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":805,"relation":"undefined"}],"grants":[{"id":1351,"fairsharing_record_id":1985,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.658Z","updated_at":"2021-09-30T09:25:03.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1350,"fairsharing_record_id":1985,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.616Z","updated_at":"2021-09-30T09:25:03.616Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1993","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:01:51.941Z","metadata":{"doi":"10.25504/FAIRsharing.ge1c3p","name":"UniGene gene-oriented nucleotide sequence clusters","status":"deprecated","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/unigene","identifier":1993,"description":"Each UniGene entry is a set of transcript sequences that appear to come from the same transcription locus (gene or expressed pseudogene), together with information on protein similarities, gene expression, cDNA clone reagents, and genomic location.","abbreviation":"UniGene","data_curation":{"type":"not found"},"support_links":[{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/UniGene/help.cgi?item=FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/UniGene/help.cgi","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/UniGene/ddd.cgi","name":"digital differential display"}],"deprecation_date":"2021-05-27","deprecation_reason":"The UniGene database and web pages have been retired. Please see https://ncbiinsights.ncbi.nlm.nih.gov/2019/07/30/the-unigene-web-pages-are-now-retired/ for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000459","bsg-d000459"],"name":"FAIRsharing record for: UniGene gene-oriented nucleotide sequence clusters","abbreviation":"UniGene","url":"https://fairsharing.org/10.25504/FAIRsharing.ge1c3p","doi":"10.25504/FAIRsharing.ge1c3p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Each UniGene entry is a set of transcript sequences that appear to come from the same transcription locus (gene or expressed pseudogene), together with information on protein similarities, gene expression, cDNA clone reagents, and genomic location.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12671}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Protein","Gene","Complementary DNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":460,"pubmed_id":12519941,"title":"Database resources of the National Center for Biotechnology.","year":2003,"url":"http://doi.org/10.1093/nar/gkg033","authors":"Wheeler DL., Church DM., Federhen S., Lash AE., Madden TL., Pontius JU., Schuler GD., Schriml LM., Sequeira E., Tatusova TA., Wagner L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg033","created_at":"2021-09-30T08:23:09.975Z","updated_at":"2021-09-30T08:23:09.975Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1546,"relation":"undefined"}],"grants":[{"id":1364,"fairsharing_record_id":1993,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.099Z","updated_at":"2021-09-30T09:25:04.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1994","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:30:39.145Z","metadata":{"doi":"10.25504/FAIRsharing.81dw2c","name":"NCBI UniSTS","status":"deprecated","contacts":[{"contact_email":"probe-admin@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/unists","citations":[],"identifier":1994,"description":"UniSTS was a database of sequence tagged sites (STSs), derived from STS-based maps and other experiments. All data from this resource have been moved to the Probe database. You can retrieve all UniSTS records by searching the probe database using the search term \"unists[properties]\". Additionally, legacy data remain on the NCBI FTP Site in the UniSTS Repository (ftp://ftp.ncbi.nih.gov/pub/ProbeDB/legacy_unists). If you have any specific questions, please feel free to contact us at info@ncbi.nlm.nih.gov","abbreviation":"NCBI UniSTS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/genome/sts/help.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/dbSTS/how_to_submit.html","name":"submit"},{"url":"http://www.ncbi.nlm.nih.gov/unists","name":"search"}],"deprecation_date":"2015-07-07","deprecation_reason":"This resource is obsolete. Please see the BioSharing record for the Probe database (https://www.biosharing.org/biodbcore-000437) instead.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000460","bsg-d000460"],"name":"FAIRsharing record for: NCBI UniSTS","abbreviation":"NCBI UniSTS","url":"https://fairsharing.org/10.25504/FAIRsharing.81dw2c","doi":"10.25504/FAIRsharing.81dw2c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniSTS was a database of sequence tagged sites (STSs), derived from STS-based maps and other experiments. All data from this resource have been moved to the Probe database. You can retrieve all UniSTS records by searching the probe database using the search term \"unists[properties]\". Additionally, legacy data remain on the NCBI FTP Site in the UniSTS Repository (ftp://ftp.ncbi.nih.gov/pub/ProbeDB/legacy_unists). If you have any specific questions, please feel free to contact us at info@ncbi.nlm.nih.gov","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Protein","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":460,"pubmed_id":12519941,"title":"Database resources of the National Center for Biotechnology.","year":2003,"url":"http://doi.org/10.1093/nar/gkg033","authors":"Wheeler DL., Church DM., Federhen S., Lash AE., Madden TL., Pontius JU., Schuler GD., Schriml LM., Sequeira E., Tatusova TA., Wagner L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg033","created_at":"2021-09-30T08:23:09.975Z","updated_at":"2021-09-30T08:23:09.975Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1697,"relation":"undefined"}],"grants":[{"id":1365,"fairsharing_record_id":1994,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.148Z","updated_at":"2021-09-30T09:25:04.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1995","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:18.942Z","metadata":{"doi":"10.25504/FAIRsharing.p4dtt2","name":"UniVec","status":"ready","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/VecScreen/UniVec.html","identifier":1995,"description":"UniVec is a database that can be used to quickly identify segments within nucleic acid sequences which may be of vector origin (vector contamination). In addition to vector sequences, UniVec also contains sequences for those adapters, linkers, and primers commonly used in the process of cloning cDNA or genomic DNA.","abbreviation":"UniVec","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/tools/vecscreen/univec/","type":"automated"},"support_links":[{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"http://www.ncbi.nlm.nih.gov/VecScreen/UniVec.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000461","bsg-d000461"],"name":"FAIRsharing record for: UniVec","abbreviation":"UniVec","url":"https://fairsharing.org/10.25504/FAIRsharing.p4dtt2","doi":"10.25504/FAIRsharing.p4dtt2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniVec is a database that can be used to quickly identify segments within nucleic acid sequences which may be of vector origin (vector contamination). In addition to vector sequences, UniVec also contains sequences for those adapters, linkers, and primers commonly used in the process of cloning cDNA or genomic DNA.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Complementary DNA","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":460,"pubmed_id":12519941,"title":"Database resources of the National Center for Biotechnology.","year":2003,"url":"http://doi.org/10.1093/nar/gkg033","authors":"Wheeler DL., Church DM., Federhen S., Lash AE., Madden TL., Pontius JU., Schuler GD., Schriml LM., Sequeira E., Tatusova TA., Wagner L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg033","created_at":"2021-09-30T08:23:09.975Z","updated_at":"2021-09-30T08:23:09.975Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":342,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":346,"relation":"undefined"}],"grants":[{"id":1366,"fairsharing_record_id":1995,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.178Z","updated_at":"2021-09-30T09:25:04.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1983","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:38.603Z","metadata":{"doi":"10.25504/FAIRsharing.5h3maw","name":"NCBI Gene","status":"ready","contacts":[{"contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/gene","identifier":1983,"description":"Gene supplies gene-specific connections in the nexus of map, sequence, expression, structure, function, citation, and homology data. Unique identifiers are assigned to genes with defining sequences, genes with known map positions, and genes inferred from phenotypic information. These gene identifiers are used throughout NCBI's databases and tracked through updates of annotation. Gene includes genomes represented by NCBI Reference Sequences (or RefSeqs) and is integrated for indexing and query and retrieval from NCBI's Entrez and E-Utilities systems. Gene comprises sequences from thousands of distinct taxonomic identifiers, ranging from viruses to bacteria to eukaryotes. It represents chromosomes, organelles, plasmids, viruses, transcripts, and millions of proteins.","abbreviation":"NCBI Gene","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/books/NBK3840/","name":"NCBI Gene FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK3841/","name":"NCBI Gene Quick Start","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/mailman/listinfo/refseq-announce","name":"RefSeq Announce Mailing List","type":"Mailing list"},{"url":"https://www.ncbi.nlm.nih.gov/gene/statistics/","name":"Statistics","type":"Help documentation"},{"url":"https://ftp.ncbi.nih.gov/pub/factsheets/Factsheet_Gene.pdf","name":"Fact Sheet","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/feed/rss.cgi?ChanKey=genenews","name":"RSS News Feed","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/docker-tutorial-gene-regulation","name":"Docker tutorial gene regulation","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/bioinformatics-gene-protein-structure-function","name":"Bioinformatics gene protein structure function","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/ifb-cloud-tutorial-gene-regulation","name":"Ifb cloud tutorial gene regulation","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/snakemake-tutorial-gene-regulation","name":"Snakemake tutorial gene regulation","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pathway-and-network-analysis-2014-module-6-gene-function-prediction","name":"Pathway and network analysis 2014 module 6 gene function prediction","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pathway-and-network-analysis-2014-module-3-gene-regulation-analysis","name":"Pathway and network analysis 2014 module 3 gene regulation analysis","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pathway-and-network-analysis-2014-module-1-introduction-to-gene-lists","name":"Pathway and network analysis 2014 module 1 introduction to gene lists","type":"TeSS links to training materials"}],"data_versioning":"yes","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/sutils/splign/splign.cgi","name":"Splign"},{"url":"https://www.ncbi.nlm.nih.gov/tools/gbench/","name":"Genome Workbench"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010650","name":"re3data:r3d100010650","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002473","name":"SciCrunch:RRID:SCR_002473","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000449","bsg-d000449"],"name":"FAIRsharing record for: NCBI Gene","abbreviation":"NCBI Gene","url":"https://fairsharing.org/10.25504/FAIRsharing.5h3maw","doi":"10.25504/FAIRsharing.5h3maw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene supplies gene-specific connections in the nexus of map, sequence, expression, structure, function, citation, and homology data. Unique identifiers are assigned to genes with defining sequences, genes with known map positions, and genes inferred from phenotypic information. These gene identifiers are used throughout NCBI's databases and tracked through updates of annotation. Gene includes genomes represented by NCBI Reference Sequences (or RefSeqs) and is integrated for indexing and query and retrieval from NCBI's Entrez and E-Utilities systems. Gene comprises sequences from thousands of distinct taxonomic identifiers, ranging from viruses to bacteria to eukaryotes. It represents chromosomes, organelles, plasmids, viruses, transcripts, and millions of proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics"],"domains":["Molecular structure","Expression data","DNA sequence data","Deoxyribonucleic acid","Chromosome","Gene expression","Organelle","Plasmid","Phenotype","Structure","Protein","Transcript","Gene","Homologous","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":475,"pubmed_id":15608257,"title":"Entrez Gene: gene-centered information at NCBI.","year":2004,"url":"http://doi.org/10.1093/nar/gki031","authors":"Maglott D., Ostell J., Pruitt KD., Tatusova T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki031","created_at":"2021-09-30T08:23:11.618Z","updated_at":"2021-09-30T08:23:11.618Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2387,"relation":"undefined"}],"grants":[{"id":1348,"fairsharing_record_id":1983,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.562Z","updated_at":"2021-09-30T09:25:03.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1347,"fairsharing_record_id":1983,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.530Z","updated_at":"2021-09-30T09:25:03.530Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1986","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:25:43.584Z","metadata":{"doi":"10.25504/FAIRsharing.b5ann2","name":"Plant Genome Central","status":"deprecated","contacts":[{"contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/genomes/PLANTS/PlantList.html","identifier":1986,"description":"The list of plant sequencing projects in this page includes those that have reached the stage where active sequence determination is currently producing, or is expected to produce in the near future, GenBank accessions toward the goal of determining the sequence of that plant genome.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/PLANTS/PGC-word.pdf","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/blast/Blast.cgi?PAGE_TYPE=BlastSearch\u0026PROG_DEF=blastn\u0026BLAST_PROG_DEF=megaBlast\u0026BLAST_SPEC=Plants_MV\u0026DATABASE=Plants/Mapped_DNA_sequences_from_all_listed_plants","name":"BLAST"}],"deprecation_date":"2015-07-14","deprecation_reason":"This resource is now obsolete. Information on annotated plant genomes can be found at http://www.ncbi.nlm.nih.gov/genome/annotation_euk/all/","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000452","bsg-d000452"],"name":"FAIRsharing record for: Plant Genome Central","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.b5ann2","doi":"10.25504/FAIRsharing.b5ann2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The list of plant sequencing projects in this page includes those that have reached the stage where active sequence determination is currently producing, or is expected to produce in the near future, GenBank accessions toward the goal of determining the sequence of that plant genome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1300,"relation":"undefined"}],"grants":[{"id":1352,"fairsharing_record_id":1986,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.709Z","updated_at":"2021-09-30T09:25:03.709Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1353,"fairsharing_record_id":1986,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.745Z","updated_at":"2021-09-30T09:25:03.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1988","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:40:44.640Z","metadata":{"doi":"10.25504/FAIRsharing.da493y","name":"NCBI Protein Clusters Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/proteinclusters","citations":[{"doi":"10.1093/nar/gkn734","pubmed_id":18940865,"publication_id":462}],"identifier":1988,"description":"ProtClustDB is a collection of related protein sequences (clusters) consisting of Reference Sequence proteins encoded by complete genomes. This database contains both curated and non-curated clusters.","abbreviation":"ProtClustDB","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/proteinclusters/help/","type":"manual"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/proteinclusters/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3797/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/prokhits.cgi","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010784","name":"re3data:r3d100010784","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003459","name":"SciCrunch:RRID:SCR_003459","portal":"SciCrunch"}],"data_access_condition":{"url":"https://ftp.ncbi.nih.gov/genomes/CLUSTERS/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000454","bsg-d000454"],"name":"FAIRsharing record for: NCBI Protein Clusters Database","abbreviation":"ProtClustDB","url":"https://fairsharing.org/10.25504/FAIRsharing.da493y","doi":"10.25504/FAIRsharing.da493y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProtClustDB is a collection of related protein sequences (clusters) consisting of Reference Sequence proteins encoded by complete genomes. This database contains both curated and non-curated clusters.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12669}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Life Science"],"domains":["Molecular structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":462,"pubmed_id":18940865,"title":"The National Center for Biotechnology Information's Protein Clusters Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkn734","authors":"Klimke W., Agarwala R., Badretdin A., Chetvernin S., Ciufo S., Fedorov B., Kiryutin B., O'Neill K., Resch W., Resenchuk S., Schafer S., Tolstoy I., Tatusova T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn734","created_at":"2021-09-30T08:23:10.235Z","updated_at":"2023-06-01T07:37:06.903Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":623,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":627,"relation":"undefined"}],"grants":[{"id":1355,"fairsharing_record_id":1988,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.821Z","updated_at":"2021-09-30T09:25:03.821Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1356,"fairsharing_record_id":1988,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.858Z","updated_at":"2021-09-30T09:25:03.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1991","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:43.622Z","metadata":{"doi":"10.25504/FAIRsharing.4jg0qw","name":"Reference Sequence Database","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/RefSeq/","identifier":1991,"description":"The Reference Sequence (RefSeq) collection aims to provide a comprehensive, integrated, non-redundant, well-annotated set of sequences, including genomic DNA, transcripts, and proteins.","abbreviation":"RefSeq","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/refseq/about/","type":"manual/automated","notes":"RefSeq transcript and protein records are generated by several processes including Genome Annotation Pipelines and manual curation."},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/books/NBK50679/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK21091/","type":"Help documentation"}],"year_creation":1999,"data_versioning":"yes","associated_tools":[{"url":"http://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=MegaBlast\u0026PROGRAM=blastn\u0026BLAST_PROGRAMS=megaBlast\u0026PAGE_TYPE=BlastSearch\u0026SHOW_DEFAULTS=on\u0026BLAST_SPEC=RefseqGene","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010285","name":"re3data:r3d100010285","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003496","name":"SciCrunch:RRID:SCR_003496","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000457","bsg-d000457"],"name":"FAIRsharing record for: Reference Sequence Database","abbreviation":"RefSeq","url":"https://fairsharing.org/10.25504/FAIRsharing.4jg0qw","doi":"10.25504/FAIRsharing.4jg0qw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Reference Sequence (RefSeq) collection aims to provide a comprehensive, integrated, non-redundant, well-annotated set of sequences, including genomic DNA, transcripts, and proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Computational Biology","Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Sequencing","Protein","Transcript","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":459,"pubmed_id":17130148,"title":"NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins.","year":2006,"url":"http://doi.org/10.1093/nar/gkl842","authors":"Pruitt KD., Tatusova T., Maglott DR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl842","created_at":"2021-09-30T08:23:09.867Z","updated_at":"2021-09-30T08:23:09.867Z"},{"id":1609,"pubmed_id":null,"title":"NCBI’s LocusLink and RefSeq","year":2000,"url":"https://doi.org/10.1093/nar/28.1.126","authors":"Maglott DR, Katz KS, Sicotte H, and Pruitta KD","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:25:20.357Z","updated_at":"2021-09-30T11:28:41.165Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":449,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":448,"relation":"undefined"},{"licence_name":"RefSeq Attribution required","licence_id":705,"licence_url":"https://www.ncbi.nlm.nih.gov/books/NBK50679/#RefSeqFAQ.how_do_i_cite_the_refseq_proje","link_id":447,"relation":"undefined"}],"grants":[{"id":1361,"fairsharing_record_id":1991,"organisation_id":1955,"relation":"funds","created_at":"2021-09-30T09:25:04.018Z","updated_at":"2021-09-30T09:25:04.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1362,"fairsharing_record_id":1991,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.044Z","updated_at":"2021-09-30T09:25:04.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1992","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:55:00.943Z","metadata":{"doi":"10.25504/FAIRsharing.9sef2s","name":"SKY/M-FISH and CGH","status":"deprecated","contacts":[{"contact_name":"Turid Knutsen","contact_email":"knutsent@mail.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/sky/","identifier":1992,"description":"The goal of the SKY/M-FISH and CGH database is to provide a public platform for investigators to share and compare their molecular cytogenetic data.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"pubmedcentral@ncbi.nlm.nih.gov","type":"Support email"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2016-12-16","deprecation_reason":"This resource has been retired and the data therein will be made available from the dbVar database (https://biosharing.org/biodbcore-000463).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000458","bsg-d000458"],"name":"FAIRsharing record for: SKY/M-FISH and CGH","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9sef2s","doi":"10.25504/FAIRsharing.9sef2s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the SKY/M-FISH and CGH database is to provide a public platform for investigators to share and compare their molecular cytogenetic data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Molecular structure","Cytogenetic map","Chromosome","Structure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":61,"pubmed_id":15934046,"title":"The interactive online SKY/M-FISH \u0026 CGH database and the Entrez cancer chromosomes search database: linkage of chromosomal aberrations with the genome sequence.","year":2005,"url":"http://doi.org/10.1002/gcc.20224","authors":"Knutsen T., Gobu V., Knaus R., Padilla-Nash H., Augustus M., Strausberg RL., Kirsch IR., Sirotkin K., Ried T.,","journal":"Genes Chromosomes Cancer","doi":"10.1002/gcc.20224","created_at":"2021-09-30T08:22:26.863Z","updated_at":"2021-09-30T08:22:26.863Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1446,"relation":"undefined"}],"grants":[{"id":1363,"fairsharing_record_id":1992,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.068Z","updated_at":"2021-09-30T09:25:04.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1989","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:16:28.101Z","metadata":{"doi":"10.25504/FAIRsharing.qt3w7z","name":"PubChem","status":"ready","contacts":[{"contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://pubchem.ncbi.nlm.nih.gov/","citations":[{"doi":"10.1093/nar/gkac956","pubmed_id":null,"publication_id":4271}],"identifier":1989,"description":"PubChem is the world's largest collection of freely accessible chemical information. Searches can be performed via a number of descriptors such as name, molecular formula and structure. Information is provided for chemical and physical properties, biological activities, safety and toxicity information, patents, literature citations and more. PubChem is organized as three linked databases within the NCBI's Entrez information retrieval system. These are PubChem Substance, PubChem Compound, and PubChem BioAssay. PubChem also provides a fast chemical structure similarity search tool. ","abbreviation":"PubChem","data_curation":{"url":"https://pubchem.ncbi.nlm.nih.gov/docs/upload-chemicals#section=Choose-Input-Method","type":"manual/automated","notes":"Manual template uploads; includes programmatic automation"},"support_links":[{"url":"https://pubchemdocs.ncbi.nlm.nih.gov/about","name":"Help","type":"Help documentation"},{"url":"https://pubchemdocs.ncbi.nlm.nih.gov/pathways","name":"Documentation on retirement of NCBI BioSystems Database","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"https://pubchem.ncbi.nlm.nih.gov/standardize/standardize.cgi","name":"PubChem Standardization Service"},{"url":"https://pubchem.ncbi.nlm.nih.gov/vw3d/vw3d.cgi","name":"PubChem3D Viewer v2.0"},{"url":"https://pubchem.ncbi.nlm.nih.gov/idexchange/idexchange.cgi","name":"PubChem Identifier Exchange Service"},{"url":"https://pubchem.ncbi.nlm.nih.gov/score_matrix/score_matrix.cgi","name":"PubChem Score Matrix Service"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010129","name":"re3data:r3d100010129","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010578","name":"SciCrunch:RRID:SCR_010578","portal":"SciCrunch"}],"data_access_condition":{"url":"https://pubchem.ncbi.nlm.nih.gov/docs/downloads","type":"partially open"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html","name":"NIH-Supported Data Sharing Resource (sustained support)"},"data_contact_information":"no","data_preservation_policy":{"url":"https://pubchem.ncbi.nlm.nih.gov/sources/","name":"PubChem Archive"},"data_deposition_condition":{"url":"https://pubchem.ncbi.nlm.nih.gov/docs/submissions","type":"controlled","notes":"Data Submission Policy"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000455","bsg-d000455"],"name":"FAIRsharing record for: PubChem","abbreviation":"PubChem","url":"https://fairsharing.org/10.25504/FAIRsharing.qt3w7z","doi":"10.25504/FAIRsharing.qt3w7z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PubChem is the world's largest collection of freely accessible chemical information. Searches can be performed via a number of descriptors such as name, molecular formula and structure. Information is provided for chemical and physical properties, biological activities, safety and toxicity information, patents, literature citations and more. PubChem is organized as three linked databases within the NCBI's Entrez information retrieval system. These are PubChem Substance, PubChem Compound, and PubChem BioAssay. PubChem also provides a fast chemical structure similarity search tool. ","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10776},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10861},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10952},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11070},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12312},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12670}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Virology","Epidemiology"],"domains":["Molecular structure","Small molecule","Assay","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":2866,"pubmed_id":20970519,"title":"PubChem as a public resource for drug discovery.","year":2010,"url":"http://doi.org/10.1016/j.drudis.2010.10.003","authors":"Li Q,Cheng T,Wang Y,Bryant SH","journal":"Drug Discov Today","doi":"10.1016/j.drudis.2010.10.003","created_at":"2021-09-30T08:27:52.764Z","updated_at":"2021-09-30T08:27:52.764Z"},{"id":2867,"pubmed_id":19498078,"title":"PubChem: a public information system for analyzing bioactivities of small molecules.","year":2009,"url":"http://doi.org/10.1093/nar/gkp456","authors":"Wang Y,Xiao J,Suzek TO,Zhang J,Wang J,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp456","created_at":"2021-09-30T08:27:52.918Z","updated_at":"2021-09-30T11:29:47.687Z"},{"id":2902,"pubmed_id":17170002,"title":"Database resources of the National Center for Biotechnology Information.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1031","authors":"Wheeler DL. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1031","created_at":"2021-09-30T08:27:57.365Z","updated_at":"2021-09-30T08:27:57.365Z"},{"id":2907,"pubmed_id":30371825,"title":"PubChem 2019 update: improved access to chemical data.","year":2018,"url":"http://doi.org/10.1093/nar/gky1033","authors":"Kim S,Chen J,Cheng T,Gindulyte A,He J,He S,Li Q,Shoemaker BA,Thiessen PA,Yu B,Zaslavsky L,Zhang J,Bolton EE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1033","created_at":"2021-09-30T08:27:57.955Z","updated_at":"2021-09-30T11:29:48.480Z"},{"id":2911,"pubmed_id":27899599,"title":"PubChem BioAssay: 2017 update.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1118","authors":"Wang Y,Bryant SH,Cheng T,Wang J,Gindulyte A,Shoemaker BA,Thiessen PA,He S,Zhang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1118","created_at":"2021-09-30T08:27:58.455Z","updated_at":"2021-09-30T11:29:48.579Z"},{"id":2912,"pubmed_id":24198245,"title":"PubChem BioAssay: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt978","authors":"Wang Y,Suzek T,Zhang J,Wang J,He S,Cheng T,Shoemaker BA,Gindulyte A,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt978","created_at":"2021-09-30T08:27:58.687Z","updated_at":"2021-09-30T11:29:48.679Z"},{"id":2917,"pubmed_id":22140110,"title":"PubChem's BioAssay Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1132","authors":"Wang Y,Xiao J,Suzek TO,Zhang J,Wang J,Zhou Z,Han L,Karapetyan K,Dracheva S,Shoemaker BA,Bolton E,Gindulyte A,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1132","created_at":"2021-09-30T08:27:59.229Z","updated_at":"2021-09-30T11:29:48.870Z"},{"id":3255,"pubmed_id":null,"title":"PubChem in 2021: new data content and improved web interfaces","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa971","authors":"Kim, Sunghwan; Chen, Jie; Cheng, Tiejun; Gindulyte, Asta; He, Jia; He, Siqian; Li, Qingliang; Shoemaker, Benjamin A; Thiessen, Paul A; Yu, Bo; Zaslavsky, Leonid; Zhang, Jian; Bolton, Evan E; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa971","created_at":"2022-03-14T14:29:03.185Z","updated_at":"2022-03-14T14:29:03.185Z"},{"id":4271,"pubmed_id":null,"title":"PubChem 2023 update","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac956","authors":"Kim, Sunghwan; Chen, Jie; Cheng, Tiejun; Gindulyte, Asta; He, Jia; He, Siqian; Li, Qingliang; Shoemaker, Benjamin A; Thiessen, Paul A; Yu, Bo; Zaslavsky, Leonid; Zhang, Jian; Bolton, Evan E; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac956","created_at":"2024-05-01T15:12:44.604Z","updated_at":"2024-05-01T15:12:44.604Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1628,"relation":"applies_to_content"}],"grants":[{"id":1358,"fairsharing_record_id":1989,"organisation_id":2170,"relation":"funds","created_at":"2021-09-30T09:25:03.928Z","updated_at":"2021-09-30T09:25:03.928Z","grant_id":null,"is_lead":false,"saved_state":{"id":2170,"name":"NLM Intramural Research Program, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1357,"fairsharing_record_id":1989,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.897Z","updated_at":"2022-03-14T14:29:19.456Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBadz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8fae80bf5acc5e16154e1ffbf9b418dfdcd8e936/pubchem.png?disposition=inline","exhaustive_licences":false}},{"id":"1996","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:45:11.713Z","metadata":{"doi":"10.25504/FAIRsharing.88v2k0","name":"Database of Genotypes and Phenotypes","status":"ready","contacts":[{"contact_name":"dbGaP Helpdesk","contact_email":"dbgap-help@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/gap/","identifier":1996,"description":"The Database of Genotypes and Phenotypes (dbGaP) archives and distributes the results of studies that have investigated the interaction of genotype and phenotype. Such studies include genome-wide association studies, medical sequencing, molecular diagnostic assays, as well as association between genotype and non-clinical traits.","abbreviation":"dbGaP","data_curation":{"type":"not found"},"support_links":[{"url":"https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?page=email\u0026from=login","name":"Contact Form","type":"Contact form"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK117240","name":"GaP FAQ Archive","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/tutorial/dbGaP_demo_1.htm","name":"dbGaP Tutorial","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/summaries/cgi-bin/userWorldMap.cgi","name":"Summary Statistics","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/feed/rss.cgi?ChanKey=dbGaPnews","name":"News Feed","type":"Blog/News"}],"data_versioning":"no","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/Software.cgi","name":"Available Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010788","name":"re3data:r3d100010788","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002709","name":"SciCrunch:RRID:SCR_002709","portal":"SciCrunch"}],"data_access_condition":{"url":"https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?page=login","type":"open","notes":"Request and download individual level data required login to the management portal."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/GetPdf.cgi?document_name=HowToSubmit.pdf","type":"controlled","notes":"The study must be registred prior to data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000462","bsg-d000462"],"name":"FAIRsharing record for: Database of Genotypes and Phenotypes","abbreviation":"dbGaP","url":"https://fairsharing.org/10.25504/FAIRsharing.88v2k0","doi":"10.25504/FAIRsharing.88v2k0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Genotypes and Phenotypes (dbGaP) archives and distributes the results of studies that have investigated the interaction of genotype and phenotype. Such studies include genome-wide association studies, medical sequencing, molecular diagnostic assays, as well as association between genotype and non-clinical traits.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10777},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10953},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11071},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12672}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenetics","Genetics","Biomedical Science"],"domains":["Expression data","Genetic polymorphism","Phenotype","Genome-wide association study","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Non-clinical trial"],"countries":["United States"],"publications":[{"id":457,"pubmed_id":17898773,"title":"The NCBI dbGaP database of genotypes and phenotypes.","year":2007,"url":"http://doi.org/10.1038/ng1007-1181","authors":"Mailman MD., Feolo M., Jin Y. et al.","journal":"Nat. Genet.","doi":"10.1038/ng1007-1181","created_at":"2021-09-30T08:23:09.608Z","updated_at":"2021-09-30T08:23:09.608Z"},{"id":641,"pubmed_id":24297256,"title":"NCBI's Database of Genotypes and Phenotypes: dbGaP.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1211","authors":"Tryka KA, Hao L, Sturcke A, Jin Y, Wang ZY, Ziyabari L, Lee M, Popova N, Sharopova N, Kimura M, Feolo M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1211","created_at":"2021-09-30T08:23:30.560Z","updated_at":"2021-09-30T08:23:30.560Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2388,"relation":"undefined"}],"grants":[{"id":1367,"fairsharing_record_id":1996,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.203Z","updated_at":"2021-09-30T09:25:04.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1368,"fairsharing_record_id":1996,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:04.226Z","updated_at":"2021-09-30T09:25:04.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1997","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:15:21.737Z","metadata":{"doi":"10.25504/FAIRsharing.ktafj3","name":"Database of genomic structural VARiation","status":"ready","contacts":[],"homepage":"https://www.ncbi.nlm.nih.gov/dbvar/","citations":[],"identifier":1997,"description":"dbVar is a database of human genomic structural variation where users can search, view, and download data from submitted studies. dbVar stopped supporting data from non-human organisms in 2017, however existing non-human data remains available. In keeping with the common definition of structural variation, most variants are larger than 50 basepairs in length - however a handful of smaller variants may also be found. dbVar provides access to the raw data whenever available, as well as links to additional resources, from both NCBI and elsewhere. It can accept diverse types of events, including inversions, insertions and translocations. Additionally, both germline and somatic variants are accepted.","abbreviation":"dbVar","data_curation":{"type":"none"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/dbvar/content/help/","name":"Help and FAQ","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/dbvar/content/overview/","name":"Overview of Structural Variation","type":"Help documentation"},{"url":"https://ftp.ncbi.nlm.nih.gov/pub/factsheets/Factsheet_dbVar.pdf","name":"Factsheet (PDF)","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/feed/rss.cgi?ChanKey=dbvarnews","name":"dbVar News Feed","type":"Blog/News"}],"year_creation":2010,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010786","name":"re3data:r3d100010786","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003219","name":"SciCrunch:RRID:SCR_003219","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/dbvar/content/submission/","type":"controlled","notes":"Data must be deposited in a public database prior to submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000463","bsg-d000463"],"name":"FAIRsharing record for: Database of genomic structural VARiation","abbreviation":"dbVar","url":"https://fairsharing.org/10.25504/FAIRsharing.ktafj3","doi":"10.25504/FAIRsharing.ktafj3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbVar is a database of human genomic structural variation where users can search, view, and download data from submitted studies. dbVar stopped supporting data from non-human organisms in 2017, however existing non-human data remains available. In keeping with the common definition of structural variation, most variants are larger than 50 basepairs in length - however a handful of smaller variants may also be found. dbVar provides access to the raw data whenever available, as well as links to additional resources, from both NCBI and elsewhere. It can accept diverse types of events, including inversions, insertions and translocations. Additionally, both germline and somatic variants are accepted.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10778},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10954},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11072}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Structural Biology","Structural Genomics","Biomedical Science"],"domains":["DNA structural variation","Genetic polymorphism","Insertion","Genome","Chromatin structure variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":476,"pubmed_id":23193291,"title":"DbVar and DGVa: public archives for genomic structural variation.","year":2012,"url":"http://doi.org/10.1093/nar/gks1213","authors":"Lappalainen I., Lopez J., Skipper L., Hefferon T., Spalding JD., Garner J., Chen C., Maguire M., Corbett M., Zhou G., Paschall J., Ananiev V., Flicek P., Church DM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1213.","created_at":"2021-09-30T08:23:11.726Z","updated_at":"2021-09-30T08:23:11.726Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2389,"relation":"undefined"}],"grants":[{"id":1369,"fairsharing_record_id":1997,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.252Z","updated_at":"2021-09-30T09:25:04.252Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1990","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:22.691Z","metadata":{"doi":"10.25504/FAIRsharing.a5sv8m","name":"PubMed","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/pubmed/","citations":[],"identifier":1990,"description":"PubMed is a search engine of biomedical literature, provided as a service of the U.S. National Library of Medicine and includes more than 25 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.","abbreviation":"PubMed","data_curation":{"type":"none"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3827/#pubmedhelp.FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3827/#pubmedhelp.PubMed_Quick_Start","type":"Help documentation"},{"url":"https://learn.nlm.nih.gov/rest/training-packets/T0042010P.html","type":"Training documentation"}],"year_creation":1996,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000456","bsg-d000456"],"name":"FAIRsharing record for: PubMed","abbreviation":"PubMed","url":"https://fairsharing.org/10.25504/FAIRsharing.a5sv8m","doi":"10.25504/FAIRsharing.a5sv8m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PubMed is a search engine of biomedical literature, provided as a service of the U.S. National Library of Medicine and includes more than 25 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Traditional Medicine","Earth Science","Life Science","Biomedical Science"],"domains":["Bibliography","Behavior"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"NLM Copyright Information","licence_id":592,"licence_url":"https://www.nlm.nih.gov/web_policies.html#copyright","link_id":530,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":539,"relation":"undefined"}],"grants":[{"id":1360,"fairsharing_record_id":1990,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.995Z","updated_at":"2021-09-30T09:25:03.995Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1359,"fairsharing_record_id":1990,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.962Z","updated_at":"2021-09-30T09:25:03.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2006","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:41.988Z","metadata":{"doi":"10.25504/FAIRsharing.v2f7t2","name":"Drug Adverse Reaction Target","status":"deprecated","contacts":[{"contact_name":"Dr. Chen Yuzong","contact_email":"yzchen@cz3.nus.edu.sg"}],"homepage":"http://bidd.nus.edu.sg/group/drt/dart.asp","identifier":2006,"description":"A database for facilitating the search for drug adverse reaction target. DART contains information about known drug adverse reaction targets, functions and properties.","abbreviation":"DART","data_curation":{"type":"not found"},"support_links":[{"url":"http://bidd.cz3.nus.edu.sg/TTDtanimoto/","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2016-03-16","deprecation_reason":"This resource is no longer maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000472","bsg-d000472"],"name":"FAIRsharing record for: Drug Adverse Reaction Target","abbreviation":"DART","url":"https://fairsharing.org/10.25504/FAIRsharing.v2f7t2","doi":"10.25504/FAIRsharing.v2f7t2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database for facilitating the search for drug adverse reaction target. DART contains information about known drug adverse reaction targets, functions and properties.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Deoxyribonucleic acid","Adverse Reaction","Drug interaction","Disease","Protein","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug target in DNA network"],"countries":["Singapore"],"publications":[{"id":479,"pubmed_id":12862503,"title":"Drug Adverse Reaction Target Database (DART) : proteins related to adverse drug reactions.","year":2003,"url":"http://doi.org/10.2165/00002018-200326100-00002","authors":"Ji ZL., Han LY., Yap CW., Sun LZ., Chen X., Chen YZ.,","journal":"Drug Saf","doi":"10.2165/00002018-200326100-00002","created_at":"2021-09-30T08:23:12.050Z","updated_at":"2021-09-30T08:23:12.050Z"}],"licence_links":[],"grants":[{"id":1379,"fairsharing_record_id":2006,"organisation_id":2085,"relation":"maintains","created_at":"2021-09-30T09:25:04.552Z","updated_at":"2021-09-30T09:25:04.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2007","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:21:15.827Z","metadata":{"doi":"10.25504/FAIRsharing.znjr4p","name":"Tumor Associated Gene database","status":"ready","contacts":[{"contact_name":"H. Sunny Sun","contact_email":"hssun@mail.ncku.edu.tw"}],"homepage":"http://www.binfo.ncku.edu.tw/TAG/GeneDoc.php","identifier":2007,"description":"The tumor-associated gene (TAG) database was designed to utilize information from well-characterized oncogenes and tumor suppressor genes to facilitate cancer research. All target genes were identified through text-mining approach from the PubMed database.","abbreviation":"TAG","data_curation":{"type":"not found"},"support_links":[{"url":"em61330@email.ncku.edu.tw","type":"Support email"},{"url":"http://carpedb.ua.edu/searchinstruct.cfm","type":"Help documentation"},{"url":"http://www.binfo.ncku.edu.tw/TAG/WeightDoc.html","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000473","bsg-d000473"],"name":"FAIRsharing record for: Tumor Associated Gene database","abbreviation":"TAG","url":"https://fairsharing.org/10.25504/FAIRsharing.znjr4p","doi":"10.25504/FAIRsharing.znjr4p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The tumor-associated gene (TAG) database was designed to utilize information from well-characterized oncogenes and tumor suppressor genes to facilitate cancer research. All target genes were identified through text-mining approach from the PubMed database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Biomedical Science"],"domains":["Text mining","Cancer","Tumor","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":466,"pubmed_id":23267173,"title":"In silico identification of oncogenic potential of fyn-related kinase in hepatocellular carcinoma.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts715","authors":"Chen JS., Hung WS., Chan HH., Tsai SJ., Sun HS.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts715","created_at":"2021-09-30T08:23:10.659Z","updated_at":"2021-09-30T08:23:10.659Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":588,"relation":"undefined"}],"grants":[{"id":1380,"fairsharing_record_id":2007,"organisation_id":1977,"relation":"maintains","created_at":"2021-09-30T09:25:04.583Z","updated_at":"2021-09-30T09:25:04.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":1977,"name":"National Cheng Kung University (NCKU) Bioinformatics Center, Tainan, Taiwan","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2008","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:19:24.268Z","metadata":{"doi":"10.25504/FAIRsharing.anxkvb","name":"SpliceInfo","status":"deprecated","contacts":[{"contact_name":"Jorng-Tzong Horng","contact_email":"horng@db.csie.ncu.edu.tw"}],"homepage":"http://spliceinfo.mbc.nctu.edu.tw/","identifier":2008,"description":"The database provides a means of investigating alternative splicing and can be used for identifying alternative splicing - related motifs, such as the exonic splicing enhancer (ESE), the exonic splicing silencer (ESS) and other intronic splicing motifs. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"SpliceInfo","data_curation":{"type":"not found"},"support_links":[{"url":"bryan@mail.NCTU.edu.tw","type":"Support email"},{"url":"http://spliceinfo.mbc.nctu.edu.tw/docs/SpliceInfo_NAR_03.pdf","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000474","bsg-d000474"],"name":"FAIRsharing record for: SpliceInfo","abbreviation":"SpliceInfo","url":"https://fairsharing.org/10.25504/FAIRsharing.anxkvb","doi":"10.25504/FAIRsharing.anxkvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database provides a means of investigating alternative splicing and can be used for identifying alternative splicing - related motifs, such as the exonic splicing enhancer (ESE), the exonic splicing silencer (ESS) and other intronic splicing motifs. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Enhancer","Alternative splicing","Gene regulatory element","Gene","Sequence motif","Regulatory region"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Viruses"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":838,"pubmed_id":15608290,"title":"SpliceInfo: an information repository for mRNA alternative splicing in human genome.","year":2004,"url":"http://doi.org/10.1093/nar/gki129","authors":"Huang HD., Horng JT., Lin FM., Chang YC., Huang CC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki129","created_at":"2021-09-30T08:23:52.488Z","updated_at":"2021-09-30T08:23:52.488Z"}],"licence_links":[],"grants":[{"id":8161,"fairsharing_record_id":2008,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:16.215Z","updated_at":"2021-09-30T09:31:16.266Z","grant_id":1095,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"NSC 93-2213-E-008-024","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1382,"fairsharing_record_id":2008,"organisation_id":1978,"relation":"maintains","created_at":"2021-09-30T09:25:04.667Z","updated_at":"2021-09-30T09:25:04.667Z","grant_id":null,"is_lead":false,"saved_state":{"id":1978,"name":"National Chiao Tung University, Hsinchu City, Taiwan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1381,"fairsharing_record_id":2008,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:25:04.624Z","updated_at":"2021-09-30T09:31:14.000Z","grant_id":1077,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"NSC-93-2213-E-009-075","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2009","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:34.969Z","metadata":{"doi":"10.25504/FAIRsharing.9sb9qh","name":"Restriction enzymes and methylases database","status":"ready","contacts":[{"contact_name":"Dana Macelis","contact_email":"macelis@neb.com"}],"homepage":"http://rebase.neb.com/rebase/rebase.html","citations":[],"identifier":2009,"description":"A collection of information about restriction enzymes and related proteins. It contains published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data.","abbreviation":"REBASE","data_curation":{"type":"manual"},"support_links":[{"url":"http://rebase.neb.com/rebase/rebstaff.html","type":"Contact form"},{"url":"macelis@neb.com","type":"Support email"},{"url":"http://rebase.neb.com/rebase/rebhelp.html","type":"Help documentation"}],"year_creation":1994,"data_versioning":"yes","associated_tools":[{"url":"http://nc2.neb.com/NEBcutter2/","name":"NEBcutter 2.0"},{"url":"http://tools.neb.com/REBsites/","name":"REBsites"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012171","name":"re3data:r3d100012171","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007886","name":"SciCrunch:RRID:SCR_007886","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://rebase.neb.com/rebase/rebase.submit.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000475","bsg-d000475"],"name":"FAIRsharing record for: Restriction enzymes and methylases database","abbreviation":"REBASE","url":"https://fairsharing.org/10.25504/FAIRsharing.9sb9qh","doi":"10.25504/FAIRsharing.9sb9qh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A collection of information about restriction enzymes and related proteins. It contains published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Ribonucleic acid","Small molecule","Enzyme","Structure","Protein","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":461,"pubmed_id":25378308,"title":"REBASE-a database for DNA restriction and modification: enzymes, genes and genomes.","year":2014,"url":"http://doi.org/10.1093/nar/gku1046","authors":"Roberts RJ., Vincze T., Posfai J., Macelis D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku1046","created_at":"2021-09-30T08:23:10.084Z","updated_at":"2021-09-30T08:23:10.084Z"},{"id":782,"pubmed_id":19846593,"title":"REBASE--a database for DNA restriction and modification: enzymes, genes and genomes.","year":2009,"url":"http://doi.org/10.1093/nar/gkp874","authors":"Roberts RJ,Vincze T,Posfai J,Macelis D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp874","created_at":"2021-09-30T08:23:46.161Z","updated_at":"2021-09-30T11:28:51.159Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":6,"relation":"undefined"},{"licence_name":"REBASE Attribution required","licence_id":702,"licence_url":"http://rebase.neb.com/rebase/rebcit.html","link_id":7,"relation":"undefined"}],"grants":[{"id":1383,"fairsharing_record_id":2009,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:04.705Z","updated_at":"2021-09-30T09:25:04.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1385,"fairsharing_record_id":2009,"organisation_id":2148,"relation":"maintains","created_at":"2021-09-30T09:25:04.775Z","updated_at":"2021-09-30T09:25:04.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":2148,"name":"New England Biolabs","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1384,"fairsharing_record_id":2009,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:04.736Z","updated_at":"2021-09-30T09:29:20.318Z","grant_id":201,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"LM04971","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2010","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:17:51.787Z","metadata":{"doi":"10.25504/FAIRsharing.a46gtf","name":"Biologic Specimen and Data Repository Information Coordinating Center","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"biolincc@imsweb.com"}],"homepage":"https://biolincc.nhlbi.nih.gov/home/","identifier":2010,"description":"The goal of Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) is to facilitate and coordinate the existing activities of the NHLBI Biorepository and the Data Repository and to expand their scope and usability to the scientific community through a single web-based user interface. BioLINCC provides a wealth of information on historical NHLBI clinical and epidemiologic studies which have data or biospecimens in the NHLBI repositories, and includes study summaries, references, and study operational documents.","abbreviation":"BioLINCC","data_curation":{"type":"not found"},"support_links":[{"url":"https://biolincc.nhlbi.nih.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://biolincc.nhlbi.nih.gov/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://biolincc.nhlbi.nih.gov/media/guidelines/handbook.pdf?link_time=2020-11-19_07:39:22.722230","name":"BioLINCC Handbook","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010834","name":"re3data:r3d100010834","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013142","name":"SciCrunch:RRID:SCR_013142","portal":"SciCrunch"}],"data_access_condition":{"url":"https://biolincc.nhlbi.nih.gov/media/guidelines/handbook.pdf?link_time=2023-05-25_10:38:16.458278#page=15","type":"partially open","notes":"A formal data sharing policy was established in 1989 to enable the datasets in the repository to be shared with qualified investigators."},"data_contact_information":"no","data_deposition_condition":{"url":"https://biolincc.nhlbi.nih.gov/submit_datasets/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000476","bsg-d000476"],"name":"FAIRsharing record for: Biologic Specimen and Data Repository Information Coordinating Center","abbreviation":"BioLINCC","url":"https://fairsharing.org/10.25504/FAIRsharing.a46gtf","doi":"10.25504/FAIRsharing.a46gtf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) is to facilitate and coordinate the existing activities of the NHLBI Biorepository and the Data Repository and to expand their scope and usability to the scientific community through a single web-based user interface. BioLINCC provides a wealth of information on historical NHLBI clinical and epidemiologic studies which have data or biospecimens in the NHLBI repositories, and includes study summaries, references, and study operational documents.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10781},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11074},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12674}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Epidemiology","Preclinical Studies"],"domains":["Biological sample annotation","Biological sample","Disease","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":473,"pubmed_id":22514237,"title":"Key observations from the NHLBI Asthma Clinical Research Network.","year":2012,"url":"http://doi.org/10.1136/thoraxjnl-2012-201876","authors":"Szefler SJ., Chinchilli VM., Israel E., Denlinger LC., Lemanske RF., Calhoun W., Peters SP.,","journal":"Thorax","doi":"10.1136/thoraxjnl-2012-201876","created_at":"2021-09-30T08:23:11.409Z","updated_at":"2021-09-30T08:23:11.409Z"}],"licence_links":[{"licence_name":"NHLBI Data Sharing Policy","licence_id":576,"licence_url":"https://www.nhlbi.nih.gov/grants-and-training/policies-and-guidelines/nhlbi-policy-for-data-sharing-from-clinical-trials-and-epidemiological-studies","link_id":2187,"relation":"undefined"}],"grants":[{"id":1387,"fairsharing_record_id":2010,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:25:04.843Z","updated_at":"2021-09-30T09:25:04.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1386,"fairsharing_record_id":2010,"organisation_id":1997,"relation":"maintains","created_at":"2021-09-30T09:25:04.813Z","updated_at":"2021-09-30T09:25:04.813Z","grant_id":null,"is_lead":true,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1998","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:48:23.215Z","metadata":{"doi":"10.25504/FAIRsharing.wkggtx","name":"Dryad Digital Repository","status":"ready","contacts":[{"contact_name":"Dryad Helpdesk","contact_email":"help@datadryad.org"}],"homepage":"http://datadryad.org/","citations":[],"identifier":1998,"description":"Dryad is an open-source, community-led data curation, publishing, and preservation platform for CC0 publicly available research data. Dryad has a long-term data preservation strategy, and is a Core Trust Seal Certified Merritt repository with storage in US and EU at the San Diego Supercomputing Center, DANS, and Zenodo. While data is undergoing peer review, it is embargoed if the related journal requires / allows this. Dryad is an independent non-profit that works directly with: researchers to publish datasets utilising best practices for discovery and reuse; publishers to support the integration of data availability statements and data citations into their workflows; and institutions to enable scalable campus support for research data management best practices at low cost. Costs are covered by institutional, publisher, and funder members, otherwise a one-time fee of $120 for authors to cover cost of curation and preservation. Dryad also receives direct funder support through grants.","abbreviation":"Dryad","data_curation":{"url":"https://datadryad.org/stash/terms#curation","type":"manual","notes":"Dryad curation support"},"support_links":[{"url":"https://blog.datadryad.org/","name":"Dryad News and Views","type":"Blog/News"},{"url":"https://datadryad.org/stash/faq","name":"Dryad FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/CDL-Dryad/dryad-app/tree/main/documentation/apis","name":"Dryad Web Service Documentation","type":"Github"},{"url":"https://twitter.com/datadryad","name":"@datadryad","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Dryad_%28repository%29","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"https://datadryad.org/stash/best_practices#organize","name":"Best practices for creating reusable data publications","type":"Training documentation"},{"url":"https://datadryad.org/docs/QuickstartGuideToDataSharing.pdf","name":"Quickstart guide to data sharing","type":"Help documentation"},{"url":"https://datadryad.org/docs/JointDataArchivingPolicy.pdf","name":"Dryad Joint Data Archiving Policy (JDAP) ","type":"Other"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000044","name":"re3data:r3d100000044","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005910","name":"SciCrunch:RRID:SCR_005910","portal":"SciCrunch"}],"data_access_condition":{"url":"https://datadryad.org/stash/faq","type":"open"},"resource_sustainability":{"url":"https://datadryad.org/stash/about#origins","name":"Core Trust Seal Certified Merritt repository with storage in US and EU, at San Diego Supercomputing Center, DANS, and Zenodo."},"data_contact_information":"yes","data_preservation_policy":{"url":"https://datadryad.org/stash/faq#how-are-the-datasets-preserved","name":"Data deposited are permanently archived and available through the California Digital Library's Merritt Repository."},"data_deposition_condition":{"url":"https://datadryad.org/stash/submission_process#upload-methods","type":"open","notes":"Registered ORCID authentication required (accepts ROR identifiers). Up to 300 GB per dataset and up to 1 TB with Dryad support. No storage limit per researcher."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000464","bsg-d000464"],"name":"FAIRsharing record for: Dryad Digital Repository","abbreviation":"Dryad","url":"https://fairsharing.org/10.25504/FAIRsharing.wkggtx","doi":"10.25504/FAIRsharing.wkggtx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dryad is an open-source, community-led data curation, publishing, and preservation platform for CC0 publicly available research data. Dryad has a long-term data preservation strategy, and is a Core Trust Seal Certified Merritt repository with storage in US and EU at the San Diego Supercomputing Center, DANS, and Zenodo. While data is undergoing peer review, it is embargoed if the related journal requires / allows this. Dryad is an independent non-profit that works directly with: researchers to publish datasets utilising best practices for discovery and reuse; publishers to support the integration of data availability statements and data citations into their workflows; and institutions to enable scalable campus support for research data management best practices at low cost. Costs are covered by institutional, publisher, and funder members, otherwise a one-time fee of $120 for authors to cover cost of curation and preservation. Dryad also receives direct funder support through grants.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10779},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10955},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12921},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12931},{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12981}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Integration","Data Management","Subject Agnostic","Database Management"],"domains":["Citation","Resource metadata","Data retrieval","Curated information","Digital curation","Literature curation","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","Worldwide"],"publications":[{"id":1215,"pubmed_id":26728592,"title":"Making Data Accessible: The Dryad Experience.","year":2016,"url":"http://doi.org/10.1093/toxsci/kfv238","authors":"Miller GW","journal":"Toxicol Sci","doi":"10.1093/toxsci/kfv238","created_at":"2021-09-30T08:24:35.450Z","updated_at":"2021-09-30T08:24:35.450Z"},{"id":1236,"pubmed_id":26413172,"title":"GMS publishes your research findings - and makes the related research data available through Dryad.","year":2015,"url":"http://doi.org/10.3205/zma000976","authors":"Arning U","journal":"GMS Z Med Ausbild","doi":"10.3205/zma000976","created_at":"2021-09-30T08:24:37.891Z","updated_at":"2021-09-30T08:24:37.891Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":770,"relation":"undefined"},{"licence_name":"DataDryad Terms of Service","licence_id":220,"licence_url":"https://datadryad.org/pages/policies","link_id":755,"relation":"undefined"}],"grants":[{"id":1370,"fairsharing_record_id":1998,"organisation_id":787,"relation":"maintains","created_at":"2021-09-30T09:25:04.276Z","updated_at":"2021-09-30T09:25:04.276Z","grant_id":null,"is_lead":true,"saved_state":{"id":787,"name":"Dryad, Durham, NC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":1371,"fairsharing_record_id":1998,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:04.312Z","updated_at":"2021-09-30T09:32:08.303Z","grant_id":1485,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0830944","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8366,"fairsharing_record_id":1998,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:17.642Z","updated_at":"2021-09-30T09:32:17.692Z","grant_id":1552,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1147166","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWDQ9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--94f277801379fa060846d300b1d19045ad880118/logod.png?disposition=inline","exhaustive_licences":false}},{"id":"1999","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:58.459Z","metadata":{"doi":"10.25504/FAIRsharing.5ab0n7","name":"Three-Dimensional Structure Database of Natural Metabolites","status":"deprecated","contacts":[{"contact_name":"Miki H. Maeda","contact_email":"mmaeda@nias.affrc.go.jp"}],"homepage":"http://www.3dmet.dna.affrc.go.jp/","citations":[],"identifier":1999,"description":"3DMET is a database of three-dimensional structures of natural metabolites.","abbreviation":"3DMET","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.3dmet.dna.affrc.go.jp/cgi/renraku.html","type":"Contact form"},{"url":"http://www.3dmet.dna.affrc.go.jp/docs/faqs.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.3dmet.dna.affrc.go.jp/docs/index.html","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000465","bsg-d000465"],"name":"FAIRsharing record for: Three-Dimensional Structure Database of Natural Metabolites","abbreviation":"3DMET","url":"https://fairsharing.org/10.25504/FAIRsharing.5ab0n7","doi":"10.25504/FAIRsharing.5ab0n7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: 3DMET is a database of three-dimensional structures of natural metabolites.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11774}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Molecular structure","Chemical entity","Metabolite","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":469,"pubmed_id":23293959,"title":"Three-Dimensional Structure Database of Natural Metabolites (3DMET): A Novel Database of Curated 3D Structures.","year":2013,"url":"http://doi.org/10.1021/ci300309k","authors":"Maeda MH., Kondo K.,","journal":"J Chem Inf Model","doi":"10.1021/ci300309k","created_at":"2021-09-30T08:23:10.959Z","updated_at":"2021-09-30T08:23:10.959Z"}],"licence_links":[],"grants":[{"id":1372,"fairsharing_record_id":1999,"organisation_id":2008,"relation":"maintains","created_at":"2021-09-30T09:25:04.345Z","updated_at":"2021-09-30T09:25:04.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":2008,"name":"National Institute of Agrobiological Sciences (NIAS), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2000","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T11:06:16.296Z","metadata":{"doi":"10.25504/FAIRsharing.xz5m1a","name":"Nematode Expression Pattern DataBase","status":"ready","contacts":[{"contact_name":"Tadasu Shin-i","contact_email":"tshini@genes.nig.ac.jp"}],"homepage":"http://nematode.lab.nig.ac.jp/","identifier":2000,"description":"The Kohara lab has been constructing an expression pattern map of the 100Mb genome of the nematode Caenorhabditis elegans through EST analysis and systematic whole mount in situ hybridization. NEXTDB is the database to integrate all information from the expression pattern project.","abbreviation":"NextDB","data_curation":{"url":"https://nematode.nig.ac.jp/feedback/FeedBack.html","type":"manual/automated","notes":"Only the feedback information is checked."},"support_links":[{"url":"http://nematode.lab.nig.ac.jp/doc/usageSrch.php","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://nematode.lab.nig.ac.jp/dbhomol/homolsrch.php","name":"Blast"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://nematode.nig.ac.jp/feedback/index.html","type":"open","notes":"The databases promotes the collection of the information obtained by using the shared cDNA clones ."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000466","bsg-d000466"],"name":"FAIRsharing record for: Nematode Expression Pattern DataBase","abbreviation":"NextDB","url":"https://fairsharing.org/10.25504/FAIRsharing.xz5m1a","doi":"10.25504/FAIRsharing.xz5m1a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Kohara lab has been constructing an expression pattern map of the 100Mb genome of the nematode Caenorhabditis elegans through EST analysis and systematic whole mount in situ hybridization. NEXTDB is the database to integrate all information from the expression pattern project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Genome"],"taxonomies":["Caenorhabditis elegans","Nematoda"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"NEXTDB Terms and Conditions of Use","licence_id":573,"licence_url":"http://nematode.lab.nig.ac.jp/doc/readme.php","link_id":580,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":585,"relation":"undefined"}],"grants":[{"id":1373,"fairsharing_record_id":2000,"organisation_id":2019,"relation":"maintains","created_at":"2021-09-30T09:25:04.379Z","updated_at":"2021-09-30T09:25:04.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2001","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:36.374Z","metadata":{"doi":"10.25504/FAIRsharing.ftamrc","name":"NITE Biological Research Center Culture Catalogue","status":"ready","contacts":[{"contact_email":"nbrc@nite.go.jp"}],"homepage":"https://www.nite.go.jp/nbrc/catalogue/","citations":[],"identifier":2001,"description":"The NITE Biological Resource Center Culture Catalogue (NBRC) collects potentially useful biological resources (microorganisms and cloned genes) and distributes them to promote basic researches as well as industrial applications. Information includes the source of isolation, culture conditions, literature and sequence by searching for strains using NBRC number or scientific name. Closely related strains can be discovered by performing a homology search using sequence data.","abbreviation":"NBRC","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.nite.go.jp/en/nbrc/index.html","name":"About","type":"Help documentation"},{"url":"https://www.nite.go.jp/en/nbrc/cultures/index.html","name":"Distribution and Deposit of Biological Resources","type":"Help documentation"}],"data_versioning":"no","associated_tools":[],"data_access_condition":{"url":"https://www.nite.go.jp/en/nbrc/cultures/fee/fee.html","type":"controlled","notes":"Charging service"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.nite.go.jp/en/nbrc/cultures/deposit/index.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000467","bsg-d000467"],"name":"FAIRsharing record for: NITE Biological Research Center Culture Catalogue","abbreviation":"NBRC","url":"https://fairsharing.org/10.25504/FAIRsharing.ftamrc","doi":"10.25504/FAIRsharing.ftamrc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NITE Biological Resource Center Culture Catalogue (NBRC) collects potentially useful biological resources (microorganisms and cloned genes) and distributes them to promote basic researches as well as industrial applications. Information includes the source of isolation, culture conditions, literature and sequence by searching for strains using NBRC number or scientific name. Closely related strains can be discovered by performing a homology search using sequence data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Microbiology"],"domains":["Resource collection"],"taxonomies":["Actinomycetales","Algae","Archaea","Bacteria","Fungi","Viruses"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"NITE Terms of use","licence_id":589,"licence_url":"https://www.nite.go.jp/en/homepage/index.html","link_id":237,"relation":"undefined"}],"grants":[{"id":1374,"fairsharing_record_id":2001,"organisation_id":2026,"relation":"maintains","created_at":"2021-09-30T09:25:04.418Z","updated_at":"2021-11-22T11:29:58.738Z","grant_id":null,"is_lead":true,"saved_state":{"id":2026,"name":"National Institute of Technology and Evaluation (NITE), Tokyo, Japan","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2002","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.794Z","metadata":{"doi":"10.25504/FAIRsharing.xwqg9h","name":"NIA Mouse cDNA Project","status":"deprecated","contacts":[{"contact_name":"Dawood B. Dudekula","contact_email":"dawood@helix.nih.gov","contact_orcid":"0000-0002-4054-1827"}],"homepage":"http://lgsun.grc.nia.nih.gov/cDNA/cDNA.html","identifier":2002,"description":"A catalog of mouse genes expressed in early embryos, embryonic and adult stem cells was assembled. The cDNA libraries are freely distributed to the research community, providing a standard platform for expression studies using microarrays.","abbreviation":"niaEST","data_curation":{"type":"not found"},"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://lgsun.grc.nia.nih.gov/ANOVA/","name":"analyze"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000468","bsg-d000468"],"name":"FAIRsharing record for: NIA Mouse cDNA Project","abbreviation":"niaEST","url":"https://fairsharing.org/10.25504/FAIRsharing.xwqg9h","doi":"10.25504/FAIRsharing.xwqg9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A catalog of mouse genes expressed in early embryos, embryonic and adult stem cells was assembled. The cDNA libraries are freely distributed to the research community, providing a standard platform for expression studies using microarrays.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Complementary DNA"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1624,"pubmed_id":14744099,"title":"The NIA cDNA project in mouse stem cells and early embryos.","year":2004,"url":"http://doi.org/10.1016/j.crvi.2003.09.008","authors":"Carter MG,Piao Y,Dudekula DB,Qian Y,VanBuren V,Sharov AA,Tanaka TS,Martin PR,Bassey UC,Stagg CA,Aiba K,Hamatani T,Matoba R,Kargul GJ,Ko MS","journal":"C R Biol","doi":"10.1016/j.crvi.2003.09.008","created_at":"2021-09-30T08:25:22.036Z","updated_at":"2021-09-30T08:25:22.036Z"}],"licence_links":[],"grants":[{"id":1375,"fairsharing_record_id":2002,"organisation_id":2027,"relation":"maintains","created_at":"2021-09-30T09:25:04.445Z","updated_at":"2021-09-30T09:25:04.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2003","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-06T08:54:55.865Z","metadata":{"doi":"10.25504/FAIRsharing.5949vn","name":"ChemIDplus","status":"deprecated","contacts":[{"contact_name":"Florence Chang","contact_email":"florence.chang@nih.gov"}],"homepage":"https://www.nlm.nih.gov/pubs/techbull/ja22/ja22_pubchem.html#note","citations":[],"identifier":2003,"description":"ChemIDplus is a web-based search system that provides access to structure and nomenclature authority files used for the identification of chemical substances cited in National Library of Medicine (NLM) databases. It also provides structure searching and direct links to many biomedical resources at NLM and on the Internet for chemicals of interest.\n","abbreviation":"ChemIDplus","data_curation":{},"support_links":[{"url":"tehip@teh.nlm.nih.gov","name":"tehip@teh.nlm.nih.gov","type":"Support email"},{"url":"https://chem.nlm.nih.gov/chemidplus/faq.jsp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://chem.nlm.nih.gov/chemidplus/jsp/chemidheavy/help.jsp","name":"Help","type":"Help documentation"},{"url":"https://chem.nlm.nih.gov/chemidplus/jsp/toxnet/chemidplusfs.jsp","name":"Fact Sheet","type":"Help documentation"},{"url":"https://learn.nlm.nih.gov/?search_term=chemidplus\u0026_gl=1*ldduc6*_ga*MTE3MTYxNzg2LjE2NjE3NjA4MzQ.*_ga_P1FPTH9PL4*MTY2MTc4NzE4NC4xLjEuMTY2MTc4NzQ1OC4wLjAuMA..","name":"Tutorials","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2023-04-06","deprecation_reason":"ChemIDplus content is available from PubChem starting december 2022. See https://www.nlm.nih.gov/pubs/techbull/ja22/ja22_pubchem.html#note for more information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000469","bsg-d000469"],"name":"FAIRsharing record for: ChemIDplus","abbreviation":"ChemIDplus","url":"https://fairsharing.org/10.25504/FAIRsharing.5949vn","doi":"10.25504/FAIRsharing.5949vn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChemIDplus is a web-based search system that provides access to structure and nomenclature authority files used for the identification of chemical substances cited in National Library of Medicine (NLM) databases. It also provides structure searching and direct links to many biomedical resources at NLM and on the Internet for chemicals of interest.\n","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11775}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry","Biomedical Science"],"domains":["Molecular structure","Chemical structure","Molecular entity","Structure","Chemical descriptor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":465,"pubmed_id":11989279,"title":"ChemIDplus-super source for chemical and drug information.","year":2002,"url":"http://doi.org/10.1300/J115v21n01_04","authors":"Tomasulo P.,","journal":"Med Ref Serv Q","doi":"10.1300/J115v21n01_04","created_at":"2021-09-30T08:23:10.550Z","updated_at":"2021-09-30T08:23:10.550Z"}],"licence_links":[{"licence_name":"NLM Copyright Information","licence_id":592,"licence_url":"https://www.nlm.nih.gov/web_policies.html#copyright","link_id":1984,"relation":"undefined"},{"licence_name":"NLM Web Policies","licence_id":974,"licence_url":"https://www.nlm.nih.gov/web_policies.html","link_id":2818,"relation":"applies_to_content"}],"grants":[{"id":1376,"fairsharing_record_id":2003,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:04.468Z","updated_at":"2021-09-30T09:25:04.468Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2011","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:17:45.767Z","metadata":{"doi":"10.25504/FAIRsharing.k81521","name":"Integrating Data for Analysis, Anonymization, and Sharing","status":"deprecated","contacts":[{"contact_email":"idash@ucsd.edu"}],"homepage":"http://idash.ucsd.edu/","identifier":2011,"description":"Integrating Data for Analysis, Anonymization and SHaring (iDASH) is one of the National Centers for Biomedical Computing (NCBC) under the NIH Roadmap for Bioinformatics and Computational Biology. Founded in 2010, the iDASH center is hosted on the campus of the University of California, San Diego and addresses fundamental challenges to research progress and enables global collaborations anywhere and anytime. Driving biological projects motivate, inform, and support tool development in iDASH. iDASH collaborates with other NCBCs and disseminates tools via annual workshops, presentations at major conferences, and scientific publications. iDASH offers a secure cyberinfrastructure and tools to support a privacy-preserving data repository and open source software. iDASH also is active in research and training in its mission area.","abbreviation":"iDASH","data_curation":{"type":"not found"},"support_links":[{"url":"http://idash.ucsd.edu/idash-softwaretools","type":"Help documentation"},{"url":"http://idash.ucsd.edu/cyberinfrastructure","type":"Help documentation"},{"url":"http://idash.ucsd.edu/events/webinars","type":"Training documentation"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"https://idash.ucsd.edu/dbp-tools","name":"Microrna Analysis in GPU Infrastructure"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"Genome Query Language"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"Observational Cohort Event Analysis and Notification System"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"Sensing Sedentary (and physical activity behavior)"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"WebGLORE 2.0"}],"deprecation_date":"2018-01-30","deprecation_reason":"This resource has been deprecated as funding has ended. As of 07/30/2017, all data within any of the communities in iDASH were no longer accessible. Please contact idash@ucsd.edu with any questions.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000477","bsg-d000477"],"name":"FAIRsharing record for: Integrating Data for Analysis, Anonymization, and Sharing","abbreviation":"iDASH","url":"https://fairsharing.org/10.25504/FAIRsharing.k81521","doi":"10.25504/FAIRsharing.k81521","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integrating Data for Analysis, Anonymization and SHaring (iDASH) is one of the National Centers for Biomedical Computing (NCBC) under the NIH Roadmap for Bioinformatics and Computational Biology. Founded in 2010, the iDASH center is hosted on the campus of the University of California, San Diego and addresses fundamental challenges to research progress and enables global collaborations anywhere and anytime. Driving biological projects motivate, inform, and support tool development in iDASH. iDASH collaborates with other NCBCs and disseminates tools via annual workshops, presentations at major conferences, and scientific publications. iDASH offers a secure cyberinfrastructure and tools to support a privacy-preserving data repository and open source software. iDASH also is active in research and training in its mission area.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11075}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Security","Biomedical Science"],"domains":["Analysis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":458,"pubmed_id":null,"title":"iDASH: integrating data for analysis, anonymization, and sharing","year":2012,"url":"http://doi.org/10.1136/amiajnl-2011-000538","authors":"Lucila Ohno-Machado et al.","journal":"Journal of the American Medical Informatics Association","doi":"10.1136/amiajnl-2011-000538","created_at":"2021-09-30T08:23:09.760Z","updated_at":"2021-09-30T08:23:09.760Z"}],"licence_links":[{"licence_name":"UCSD Data Usage Procedures","licence_id":802,"licence_url":"http://idash.ucsd.edu/procedures","link_id":2315,"relation":"undefined"}],"grants":[{"id":1389,"fairsharing_record_id":2011,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:04.897Z","updated_at":"2021-09-30T09:25:04.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1388,"fairsharing_record_id":2011,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:25:04.869Z","updated_at":"2021-09-30T09:29:51.938Z","grant_id":441,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54HL108460","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2013","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:29.236Z","metadata":{"doi":"10.25504/FAIRsharing.dt71b7","name":"GeneNetwork","status":"ready","contacts":[{"contact_name":"Robert W Williams","contact_email":"rwilliams@uthsc.edu"}],"homepage":"http://www.genenetwork.org/","citations":[{"publication_id":2973}],"identifier":2013,"description":"GeneNetwork is a group of linked data sets and tools used to study complex networks of genes, molecules, and higher order gene function and phenotypes. GeneNetwork combines more than 25 years of legacy data generated by hundreds of scientists together with sequence data (SNPs) and massive transcriptome data sets (expression or eQTL data sets). GeneNetwork was created in 1994 as The Portable Dictionary of the Mouse Genome, and became WebQTL in 2001. In 2005 it was renamed GeneNetwork.","abbreviation":"GeneNetwork","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.genenetwork.org/news","name":"News","type":"Blog/News"},{"url":"http://gn1.genenetwork.org/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://gn1.genenetwork.org/glossary.html","name":"Glossary","type":"Help documentation"},{"url":"http://www.genenetwork.org/policies","name":"GeneNetwork Policies","type":"Help documentation"},{"url":"https://github.com/genenetwork/genenetwork2","name":"GitHub GN2 Project","type":"Github"},{"url":"https://github.com/genenetwork/genenetwork1","name":"GitHub GN1 Project","type":"Github"},{"url":"http://www.genenetwork.org/tutorials","name":"Tutorials","type":"Training documentation"},{"url":"https://twitter.com/GeneNetwork2","name":"@GeneNetwork2","type":"Twitter"}],"year_creation":1994,"data_versioning":"yes","associated_tools":[{"url":"http://www.genenetwork.org/dbResults.html","name":"Genome Graph (visualization)"},{"url":"http://www.genenetwork.org/webqtl/main.py?FormID=batSubmit","name":"Batch Submission Tool"},{"url":"http://www.genenetwork.org/snp_browser","name":"Variant (SNP) Browser"},{"url":"http://www.genenetwork.org/webqtl/main.py?FormID=qtlminer","name":"QTLminer (analysis)"},{"url":"http://power.genenetwork.org/","name":"BDX Power Calculator"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.genenetwork.org/webqtl/main.py?FormID=submitSingleTrait","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000479","bsg-d000479"],"name":"FAIRsharing record for: GeneNetwork","abbreviation":"GeneNetwork","url":"https://fairsharing.org/10.25504/FAIRsharing.dt71b7","doi":"10.25504/FAIRsharing.dt71b7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneNetwork is a group of linked data sets and tools used to study complex networks of genes, molecules, and higher order gene function and phenotypes. GeneNetwork combines more than 25 years of legacy data generated by hundreds of scientists together with sequence data (SNPs) and massive transcriptome data sets (expression or eQTL data sets). GeneNetwork was created in 1994 as The Portable Dictionary of the Mouse Genome, and became WebQTL in 2001. In 2005 it was renamed GeneNetwork.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11077}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genetics","Transcriptomics"],"domains":["Expression data","Network model","Gene expression","Phenotype","Single nucleotide polymorphism","Quantitative trait loci","Genotype"],"taxonomies":["Arabidopsis thaliana","Drosophila melanogaster","Glycine max","Homo sapiens","Hordeum vulgare L.","Mus musculus","Rhesus macaques","Solanum lycopersicum"],"user_defined_tags":[],"countries":["Australia","Germany","Israel","Singapore","United Kingdom","United States"],"publications":[{"id":471,"pubmed_id":15114364,"title":"WebQTL: rapid exploratory analysis of gene expression and genetic networks for brain and behavior.","year":2004,"url":"http://doi.org/10.1038/nn0504-485","authors":"Chesler EJ., Lu L., Wang J., Williams RW., Manly KF.,","journal":"Nat. Neurosci.","doi":"10.1038/nn0504-485","created_at":"2021-09-30T08:23:11.209Z","updated_at":"2021-09-30T08:23:11.209Z"},{"id":2973,"pubmed_id":null,"title":"GeneNetwork: framework for web-based genetics","year":2016,"url":"https://doi.org/10.21105/joss.00025","authors":"Zachary Sloan, Danny Arends, Karl W. Broman, Arthur Centeno, Nicholas Furlotte, Harm Nijveen, Lei Yan, Xiang Zhou, Robert W.Williams, and Pjotr Prins","journal":"Journal of Open-Source Software","doi":null,"created_at":"2021-09-30T08:28:06.358Z","updated_at":"2021-09-30T08:28:06.358Z"}],"licence_links":[{"licence_name":"GNU Affero General Public License","licence_id":352,"licence_url":"http://www.gnu.org/licenses/agpl-3.0.html","link_id":1424,"relation":"undefined"}],"grants":[{"id":1393,"fairsharing_record_id":2013,"organisation_id":2850,"relation":"maintains","created_at":"2021-09-30T09:25:05.021Z","updated_at":"2021-09-30T09:25:05.021Z","grant_id":null,"is_lead":false,"saved_state":{"id":2850,"name":"The UT Center for Integrative and Translational Genomics","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1398,"fairsharing_record_id":2013,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:05.192Z","updated_at":"2021-09-30T09:30:48.324Z","grant_id":879,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"P20-DA 21131","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1392,"fairsharing_record_id":2013,"organisation_id":1883,"relation":"funds","created_at":"2021-09-30T09:25:04.991Z","updated_at":"2021-09-30T09:31:57.279Z","grant_id":1403,"is_lead":false,"saved_state":{"id":1883,"name":"MMHCC","grant":"U01CA105417","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1397,"fairsharing_record_id":2013,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:05.155Z","updated_at":"2021-09-30T09:25:05.155Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1394,"fairsharing_record_id":2013,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:25:05.045Z","updated_at":"2021-09-30T09:29:25.401Z","grant_id":242,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"R01AG043930","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1395,"fairsharing_record_id":2013,"organisation_id":267,"relation":"funds","created_at":"2021-09-30T09:25:05.075Z","updated_at":"2021-09-30T09:31:47.195Z","grant_id":1325,"is_lead":false,"saved_state":{"id":267,"name":"Biomedical Informatics Research Network (BIRN)","grant":"U24 RR021760","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1396,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:25:05.117Z","updated_at":"2021-09-30T09:28:54.743Z","grant_id":12,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U01 AA013499","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7901,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:29:35.092Z","updated_at":"2021-09-30T09:29:35.139Z","grant_id":312,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U24 AA013513","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8240,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:31:41.181Z","updated_at":"2021-09-30T09:31:41.234Z","grant_id":1283,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U01 AA014425","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8248,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:31:44.308Z","updated_at":"2021-09-30T09:31:44.362Z","grant_id":1305,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U01 AA016662","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2022","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:34.800Z","metadata":{"doi":"10.25504/FAIRsharing.p3bzqb","name":"Transporter Classification Database","status":"ready","contacts":[{"contact_name":"Milton H. Saier, Jr.","contact_email":"msaier@ucsd.edu","contact_orcid":"0000-0001-5530-0017"},{"contact_name":"Arturo Medrano-Soto","contact_email":"arturo.medrano@gmail.com","contact_orcid":"0000-0002-6095-3829"}],"homepage":"https://tcdb.org/","citations":[{"doi":"10.1093/nar/gkaa1004","pubmed_id":33170213,"publication_id":367}],"identifier":2022,"description":"This freely accessible database details a comprehensive IUBMB approved classification system for membrane transport proteins known as the Transporter Classification (TC) system. The TC system is analogous to the Enzyme Commission (EC) system for classification of enzymes, except that it incorporates both functional and phylogenetic information for organisms of all types. As of August 1, 2021, TCDB consists of 22,132 proteins classified in 17,390 transport systems with 1,604 tabulated 3D structures, 21,174 reference citations describing 1,708 transporter families, of which 25% are members of 94 recognized superfamilies. Overall, this is an increase of over 50% since the last published update of the database in 2016. The most recent update of the database contents and features include (1) adoption of a chemical ontology for substrates of transporters, (2) inclusion of new superfamilies, (3) a domain-based characterization of transporter families (tcDoms) for the identification of new members as well as functional and evolutionary relationships between families, (4) development of novel software to facilitate curation and use of the database, (5) addition of new subclasses of transport systems including 11 novel types of channels and 3 types of group translocators, and (6) the inclusion of many man-made (artificial) transmembrane pores/channels and carriers.","abbreviation":"TCDB","data_curation":{"url":"https://tcdb.org/faq.php","type":"automated"},"support_links":[{"url":"https://tcdb.org/tcdb_help.php","name":"Help and tutorials","type":"Frequently Asked Questions (FAQs)"},{"url":"https://tcdb.org/faq.php","name":"FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://biotools.tcdb.org","name":"Bio-tools: links to in-house and external tools"},{"url":"https://tcdb.org/progs/blast.php","name":"Blast a protein against TCDB"},{"url":"https://tcdb.org/progs/?tool=substrate#/","name":"Query TCDB by transported substrate(s)"}],"data_access_condition":{"type":"open","notes":"Online access is open to the public in read-only mode."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Contact us if you would like to submit your data to TCDB."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000489","bsg-d000489"],"name":"FAIRsharing record for: Transporter Classification Database","abbreviation":"TCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.p3bzqb","doi":"10.25504/FAIRsharing.p3bzqb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This freely accessible database details a comprehensive IUBMB approved classification system for membrane transport proteins known as the Transporter Classification (TC) system. The TC system is analogous to the Enzyme Commission (EC) system for classification of enzymes, except that it incorporates both functional and phylogenetic information for organisms of all types. As of August 1, 2021, TCDB consists of 22,132 proteins classified in 17,390 transport systems with 1,604 tabulated 3D structures, 21,174 reference citations describing 1,708 transporter families, of which 25% are members of 94 recognized superfamilies. Overall, this is an increase of over 50% since the last published update of the database in 2016. The most recent update of the database contents and features include (1) adoption of a chemical ontology for substrates of transporters, (2) inclusion of new superfamilies, (3) a domain-based characterization of transporter families (tcDoms) for the identification of new members as well as functional and evolutionary relationships between families, (4) development of novel software to facilitate curation and use of the database, (5) addition of new subclasses of transport systems including 11 novel types of channels and 3 types of group translocators, and (6) the inclusion of many man-made (artificial) transmembrane pores/channels and carriers.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10789},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11086}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Knowledge and Information Systems","Phylogenetics","Computational Biology","Life Science","Cell Biology"],"domains":["Molecular structure","Annotation","Function analysis","Molecular function","Transport","Disease","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":271,"pubmed_id":24225317,"title":"The transporter classification database","year":2013,"url":"http://doi.org/10.1093/nar/gkt1097","authors":"Saier MH, Reddy VS, Tamang DG, Vastermark A.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1097","created_at":"2021-09-30T08:22:49.313Z","updated_at":"2021-09-30T11:28:44.500Z"},{"id":367,"pubmed_id":33170213,"title":"The Transporter Classification Database (TCDB): 2021 update","year":2021,"url":"http://doi.org/10.1093/nar/gkaa1004","authors":"Saier MH, Reddy VS, Moreno-Hagelsieb G, Hendargo KJ, Zhang Y, Iddamsetty V, Lam KJK, Tian N, Russum S, Wang J, Medrano-Soto A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkaa1004","created_at":"2021-09-30T08:22:59.458Z","updated_at":"2021-09-30T08:22:59.458Z"},{"id":472,"pubmed_id":16381841,"title":"TCDB: the Transporter Classification Database for membrane transport protein analyses and information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj001","authors":"Saier MH., Tran CV., Barabote RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj001","created_at":"2021-09-30T08:23:11.309Z","updated_at":"2021-09-30T08:23:11.309Z"},{"id":482,"pubmed_id":19022853,"title":"The Transporter Classification Database: recent advances.","year":2008,"url":"http://doi.org/10.1093/nar/gkn862","authors":"Saier MH., Yen MR., Noto K., Tamang DG., Elkan C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn862","created_at":"2021-09-30T08:23:12.425Z","updated_at":"2021-09-30T08:23:12.425Z"},{"id":1530,"pubmed_id":26546518,"title":"The Transporter Classification Database (TCDB): recent advances","year":2015,"url":"http://doi.org/10.1093/nar/gkv1103","authors":"Saier MH, Reddy V S, Tsu BV, Ahmed MS, Li C, Moreno-Hagelsieb G.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1103","created_at":"2021-09-30T08:25:11.259Z","updated_at":"2021-09-30T11:29:12.735Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1329,"relation":"undefined"},{"licence_name":"GNU Free Documentation License","licence_id":353,"licence_url":"http://www.gnu.org/licenses/fdl-1.3.html","link_id":1333,"relation":"undefined"}],"grants":[{"id":1421,"fairsharing_record_id":2022,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:06.054Z","updated_at":"2021-09-30T09:25:06.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1420,"fairsharing_record_id":2022,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:06.025Z","updated_at":"2021-09-30T09:25:06.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2023","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:57.213Z","metadata":{"doi":"10.25504/FAIRsharing.2g4cfa","name":"Quantitative Trait Loci Archive","status":"ready","contacts":[{"contact_email":"qtlarchive@jax.org"}],"homepage":"https://phenome.jax.org/centers/QTLA","citations":[],"identifier":2023,"description":"This site provides access to raw data from various QTL (quantitative trait loci) studies using rodent inbred line crosses. Data are available in the .csv format used by R/qtl and pseudomarker programs. In some cases analysis scripts and/or results are posted to accompany the data.","abbreviation":"QTL Archive","data_curation":{"url":"file:///C:/Users/Utilisateur/Downloads/SIP_Guidelines_v1.4.1%20(1).pdf","type":"manual"},"support_links":[{"url":"http://phenome.jax.org/db/q?rtn=uin/sugg","type":"Contact form"},{"url":"phenome@jax.org","type":"Support email"},{"url":"http://phenome.jax.org/db/q?rtn=docs/aboutmpd","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010571","name":"re3data:r3d100010571","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006213","name":"SciCrunch:RRID:SCR_006213","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://studyintake.jax.org/help#do-i-have-to-register-as-a-user-","type":"controlled","notes":"Only registrered users can upload data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000490","bsg-d000490"],"name":"FAIRsharing record for: Quantitative Trait Loci Archive","abbreviation":"QTL Archive","url":"https://fairsharing.org/10.25504/FAIRsharing.2g4cfa","doi":"10.25504/FAIRsharing.2g4cfa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This site provides access to raw data from various QTL (quantitative trait loci) studies using rodent inbred line crosses. Data are available in the .csv format used by R/qtl and pseudomarker programs. In some cases analysis scripts and/or results are posted to accompany the data.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11087}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Curated information","Phenotype","Quantitative trait loci","Genotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"MPD Attribution required","licence_id":526,"licence_url":"https://phenome.jax.org/about/citing","link_id":1942,"relation":"undefined"},{"licence_name":"MPD Terms of Use","licence_id":527,"licence_url":"https://phenome.jax.org/about/termsofuse","link_id":1944,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1943,"relation":"undefined"}],"grants":[{"id":1425,"fairsharing_record_id":2023,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:06.159Z","updated_at":"2021-09-30T09:25:06.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1422,"fairsharing_record_id":2023,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:06.078Z","updated_at":"2021-09-30T09:25:06.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1424,"fairsharing_record_id":2023,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:06.128Z","updated_at":"2021-09-30T09:25:06.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1426,"fairsharing_record_id":2023,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:25:06.201Z","updated_at":"2021-09-30T09:25:06.201Z","grant_id":null,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1423,"fairsharing_record_id":2023,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:06.105Z","updated_at":"2021-09-30T09:28:57.859Z","grant_id":33,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"GM070683","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2016","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:33.096Z","metadata":{"doi":"10.25504/FAIRsharing.k34tv5","name":"National Addiction \u0026 HIV Data Archive Program","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"nahdap@icpsr.umich.edu"}],"homepage":"https://www.icpsr.umich.edu/web/pages/NAHDAP/index.html","citations":[],"identifier":2016,"description":"NAHDAP acquires, preserves and disseminates data relevant to drug addiction and HIV research. The scope of the data housed at NAHDAP covers a wide range of legal and illicit drugs (alcohol, tobacco, marijuana, cocaine, synthetic drugs, and others) and the trajectories, patterns, and consequences of drug use as well as related predictors and outcomes.","abbreviation":"NAHDAP","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/announcements.html","name":"News","type":"Blog/News"},{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/contact.html","name":"General Contact Information and Form","type":"Contact form"},{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/help/index.html","name":"Help and FAQ","type":"Help documentation"},{"url":"https://www.youtube.com/user/icpsrweb?feature=results_main","name":"YouTube Tutorials","type":"Video"},{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/training.html","name":"Training and Support","type":"Training documentation"},{"url":"https://twitter.com/NAHDAP1","name":"@NAHDAP1","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010261","name":"re3data:r3d100010261","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000636","name":"SciCrunch:RRID:SCR_000636","portal":"SciCrunch"}],"data_access_condition":{"type":"partially open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/deposit/index.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000482","bsg-d000482"],"name":"FAIRsharing record for: National Addiction \u0026 HIV Data Archive Program","abbreviation":"NAHDAP","url":"https://fairsharing.org/10.25504/FAIRsharing.k34tv5","doi":"10.25504/FAIRsharing.k34tv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NAHDAP acquires, preserves and disseminates data relevant to drug addiction and HIV research. The scope of the data housed at NAHDAP covers a wide range of legal and illicit drugs (alcohol, tobacco, marijuana, cocaine, synthetic drugs, and others) and the trajectories, patterns, and consequences of drug use as well as related predictors and outcomes.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10784},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10957},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11080}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social Science","Biomedical Science"],"domains":["Drug","Addiction","Disease"],"taxonomies":["Homo sapiens","Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NAHDAP Data Sharing Policies","licence_id":531,"licence_url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/irbs-data-sharing.html","link_id":2390,"relation":"undefined"}],"grants":[{"id":1405,"fairsharing_record_id":2016,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:25:05.454Z","updated_at":"2021-09-30T09:25:05.454Z","grant_id":null,"is_lead":true,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1406,"fairsharing_record_id":2016,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:05.500Z","updated_at":"2021-09-30T09:25:05.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2017","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:55:34.430Z","metadata":{"doi":"10.25504/FAIRsharing.a7p1zt","name":"NIDA Data Share","status":"ready","contacts":[],"homepage":"https://datashare.nida.nih.gov","citations":[],"identifier":2017,"description":"The NIDA Data Share web site is an electronic environment that allows data from completed clinical trials to be distributed to investigators and the public in order to promote new research, encourage further analyses, and disseminate information to the community. Secondary analyses produced from data sharing multiply the scientific contribution of the original research.","abbreviation":"NIDA","data_curation":{"type":"not found"},"support_links":[{"url":"https://datashare.nida.nih.gov/contact","type":"Contact form"},{"url":"https://datashare.nida.nih.gov/content/frequently-asked-questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://datashare.nida.nih.gov/content/about-us","type":"Help documentation"},{"url":"https://datashare.nida.nih.gov/assessments","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"url":"https://datashare.nida.nih.gov/","type":"open","notes":"Users will have to register a name and valid e-mail address in order to download data and to accept their responsibility for using data in accordance with the NIDA Data Share Agreement"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000483","bsg-d000483"],"name":"FAIRsharing record for: NIDA Data Share","abbreviation":"NIDA","url":"https://fairsharing.org/10.25504/FAIRsharing.a7p1zt","doi":"10.25504/FAIRsharing.a7p1zt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NIDA Data Share web site is an electronic environment that allows data from completed clinical trials to be distributed to investigators and the public in order to promote new research, encourage further analyses, and disseminate information to the community. Secondary analyses produced from data sharing multiply the scientific contribution of the original research.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10785},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11081},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12675}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Biomedical Science","Preclinical Studies"],"domains":["Drug","Addiction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":463,"pubmed_id":20126428,"title":"The Place of Adoption in the NIDA Clinical Trials Network.","year":2008,"url":"http://doi.org/10.1177/002204260803800408","authors":"Jessup MA., Guydish J., Manser ST., Tajima B.,","journal":"J Drug Issues","doi":"10.1177/002204260803800408","created_at":"2021-09-30T08:23:10.342Z","updated_at":"2021-09-30T08:23:10.342Z"}],"licence_links":[{"licence_name":"NIH NIDA Data Privacy Policy","licence_id":586,"licence_url":"https://www.drugabuse.gov/privacy","link_id":983,"relation":"undefined"},{"licence_name":"Web Accessibility Policy for the NIH NIDA","licence_id":858,"licence_url":"https://www.drugabuse.gov/accessibility","link_id":984,"relation":"undefined"}],"grants":[{"id":1408,"fairsharing_record_id":2017,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:05.572Z","updated_at":"2021-09-30T09:25:05.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1407,"fairsharing_record_id":2017,"organisation_id":2029,"relation":"maintains","created_at":"2021-09-30T09:25:05.539Z","updated_at":"2021-09-30T09:25:05.539Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2004","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T05:34:46.410Z","metadata":{"doi":"10.25504/FAIRsharing.mewhad","name":"ClinicalTrials.gov","status":"ready","contacts":[{"contact_name":"NLM Communications","contact_email":"NLMCommunications@nih.gov","contact_orcid":null}],"homepage":"https://clinicaltrials.gov/","citations":[],"identifier":2004,"description":"ClinicalTrials.gov hosts a large collection of clinical studies from around the world. You can search for clinical studies by condition or disease name or other terms such as a drug name. Note: ClinicalTrials.gov is an official website of the U.S. Department of Health and Human Services, National Institutes of Health, National Library of Medicine, and National Center for Biotechnology Information. The National Library of Medicine (NLM) maintains this website. ","abbreviation":null,"data_curation":{"url":"https://clinicaltrials.gov/ct2/manage-recs/resources#DataElement","type":"manual","notes":"Data Element Definitions, Templates, and Checklists"},"support_links":[{"url":"helpdesk@ecma-international.org","name":"ECMA Specification Helpdesk","type":"Support email"},{"url":"https://www.json.org/json-en.html","name":"ECMA Specification Documentation","type":"Help documentation"},{"url":"https://www.rfc-editor.org/errata/rfc8259","name":"View RFC Errata","type":"Help documentation"},{"url":"https://fr.wikipedia.org/wiki/JavaScript_Object_Notation","name":"Wikipedia","type":"Wikipedia"},{"url":"https://clinicaltrials.gov/ct2/about-studies/glossary","name":"Glossary of Common Site Terms","type":"Help documentation"},{"url":"https://clinicaltrials.gov/ct2/manage-recs/resources#DataElement","name":"Data Element Definitions, Templates, and Checklists","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://grants.nih.gov/policy/humansubjects/hs-decision.htm","name":"NIH Decision Tool: Human Subjects Questionnaires"},{"url":"https://grants.nih.gov/ct-decision/index.htm","name":"NIH Decision Tool: Clinical Trials Questionnaires"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010211","name":"re3data:r3d100010211","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002309","name":"SciCrunch:RRID:SCR_002309","portal":"SciCrunch"}],"data_access_condition":{"url":"https://clinicaltrials.gov/ct2/about-site/terms-conditions#Availability","type":"partially open","notes":"https://clinicaltrials.gov/ct2/about-site/terms-conditions#Availability"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/bmic-about.html","name":"sustained support"},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html","name":"NIH-Supported Data Sharing Resource"},"data_deposition_condition":{"url":"https://clinicaltrials.gov/ct2/manage-recs/submit-study","type":"controlled","notes":"Protocol Registration and Results System (PRS) Registration Required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000470","bsg-d000470"],"name":"FAIRsharing record for: ClinicalTrials.gov","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.mewhad","doi":"10.25504/FAIRsharing.mewhad","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ClinicalTrials.gov hosts a large collection of clinical studies from around the world. You can search for clinical studies by condition or disease name or other terms such as a drug name. Note: ClinicalTrials.gov is an official website of the U.S. Department of Health and Human Services, National Institutes of Health, National Library of Medicine, and National Center for Biotechnology Information. The National Library of Medicine (NLM) maintains this website. ","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17402},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10780},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10956},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11073},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12313},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12673}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Data Management","Immunology","Pharmacology","Biomedical Science","Omics","Epidemiology","Preclinical Studies"],"domains":["Drug report","Resource metadata","Biobank","Protocol","Study design","Disease","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":468,"pubmed_id":15361058,"title":"Design, implementation and management of a web-based data entry system for ClinicalTrials.gov.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/15361058","authors":"Gillen JE., Tse T., Ide NC., McCray AT.,","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:23:10.860Z","updated_at":"2021-09-30T08:23:10.860Z"},{"id":1209,"pubmed_id":27294570,"title":"ClinicalTrials.gov and Drugs@FDA: A Comparison of Results Reporting for New Drug Approval Trials.","year":2016,"url":"http://doi.org/10.7326/M15-2658","authors":"Schwartz LM,Woloshin S,Zheng E,Tse T,Zarin DA","journal":"Ann Intern Med","doi":"10.7326/M15-2658","created_at":"2021-09-30T08:24:34.749Z","updated_at":"2021-09-30T08:24:34.749Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":2890,"relation":"applies_to_content"},{"licence_name":"NLM NIH Copyright","licence_id":593,"licence_url":"http://www.nlm.nih.gov/copyright.html","link_id":2889,"relation":"applies_to_content"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1866,"relation":"undefined"},{"licence_name":"HHS Vulnerability Disclosure Policy","licence_id":965,"licence_url":"https://www.hhs.gov/vulnerability-disclosure-policy/index.html","link_id":2892,"relation":"applies_to_content"},{"licence_name":"ClinivalTrials.gov Terms \u0026 Conditions ( May 2014)","licence_id":995,"licence_url":"https://clinicaltrials.gov/ct2/about-site/terms-conditions","link_id":2891,"relation":"applies_to_content"}],"grants":[{"id":1377,"fairsharing_record_id":2004,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:04.500Z","updated_at":"2021-09-30T09:25:04.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9926,"fairsharing_record_id":2004,"organisation_id":2944,"relation":"associated_with","created_at":"2022-09-27T21:49:03.027Z","updated_at":"2022-09-27T21:49:03.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":9927,"fairsharing_record_id":2004,"organisation_id":2035,"relation":"funds","created_at":"2022-09-27T21:49:03.029Z","updated_at":"2022-09-27T21:49:03.029Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9928,"fairsharing_record_id":2004,"organisation_id":3716,"relation":"associated_with","created_at":"2022-09-27T21:49:03.154Z","updated_at":"2022-09-27T21:49:03.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":3716,"name":"The U.S. Department of Health \u0026 Human Services, Office of Inspector General","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2005","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-08T10:41:57.414Z","metadata":{"doi":"10.25504/FAIRsharing.qrw6b7","name":"Rice Genome Annotation Project","status":"ready","contacts":[{"contact_name":"C. Robin Buell","contact_email":"buell@msu.edu"}],"homepage":"http://rice.uga.edu/","citations":[],"identifier":2005,"description":"This website provides genome sequence from the Nipponbare subspecies of rice and annotation of the 12 rice chromosomes. These data are available through search pages and the Genome Browser that provides an integrated display of annotation data.","abbreviation":"RGAP","data_curation":{"url":"http://rice.uga.edu/annotation_community_info.shtml","type":"manual"},"support_links":[{"url":"buell.lab.web@gmail.com","type":"Support email"},{"url":"http://rice.uga.edu/home_faq.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://rice.uga.edu/home_training_opportunities.shtml","type":"Training documentation"},{"url":"http://rice.uga.edu/home_overview.shtml","name":"Home Overview","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000471","bsg-d000471"],"name":"FAIRsharing record for: Rice Genome Annotation Project","abbreviation":"RGAP","url":"https://fairsharing.org/10.25504/FAIRsharing.qrw6b7","doi":"10.25504/FAIRsharing.qrw6b7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This website provides genome sequence from the Nipponbare subspecies of rice and annotation of the 12 rice chromosomes. These data are available through search pages and the Genome Browser that provides an integrated display of annotation data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Chromosome"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1508,"pubmed_id":17145706,"title":"The TIGR Rice Genome Annotation Resource: improvements and new features.","year":2006,"url":"http://doi.org/10.1093/nar/gkl976","authors":"Ouyang S., Zhu W., Hamilton J., Lin H., Campbell M., Childs K., Thibaud-Nissen F., Malek RL., Lee Y., Zheng L., Orvis J., Haas B., Wortman J., Buell CR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl976","created_at":"2021-09-30T08:25:08.828Z","updated_at":"2021-09-30T08:25:08.828Z"}],"licence_links":[{"licence_name":"Rice Genome Annotation Project Attribution required","licence_id":712,"licence_url":"http://rice.plantbiology.msu.edu/index.shtml","link_id":115,"relation":"undefined"}],"grants":[{"id":1378,"fairsharing_record_id":2005,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:04.529Z","updated_at":"2021-09-30T09:29:19.375Z","grant_id":195,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-0321538","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8374,"fairsharing_record_id":2005,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:19.109Z","updated_at":"2021-09-30T09:32:19.154Z","grant_id":1564,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-0834043","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11698,"fairsharing_record_id":2005,"organisation_id":4334,"relation":"maintains","created_at":"2024-04-08T09:26:28.078Z","updated_at":"2024-04-08T09:26:28.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":4334,"name":"College of Agricultural \u0026 Environmental Sciences, University of Georgia, Athens, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2020","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-14T14:04:18.793Z","metadata":{"doi":"10.25504/FAIRsharing.t5ha5j","name":"Cell Centered Database","status":"deprecated","contacts":[{"contact_name":"CCDB Webmaster","contact_email":"webmaster@ccdb.ucsd.edu"}],"homepage":"http://ccdb.ucsd.edu/home","citations":[],"identifier":2020,"description":"The Cell Centered Database (CCDB) is a web accessible database for high resolution 2D, 3D and 4D data from light and electron microscopy, including correlated imaging.","abbreviation":"CCDB","data_curation":{},"support_links":[{"url":"http://ccdb.ucsd.edu/help/index.shtm","type":"Help documentation"},{"url":"https://twitter.com/ccdbuser","type":"Twitter"}],"year_creation":1998,"data_versioning":"not found","associated_tools":[{"url":"http://ccdb.ucsd.edu/sand/jsp/lite_search.jsp","name":"advanced search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100000018","name":"r3d100000018","portal":"re3data"}],"deprecation_date":"2017-01-01","deprecation_reason":"The contents of this resource were merged with the Cell Image Library in 2017. For more information, see also http://library.ucsd.edu/dc/collection/bb5940732k","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000487","bsg-d000487"],"name":"FAIRsharing record for: Cell Centered Database","abbreviation":"CCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.t5ha5j","doi":"10.25504/FAIRsharing.t5ha5j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Centered Database (CCDB) is a web accessible database for high resolution 2D, 3D and 4D data from light and electron microscopy, including correlated imaging.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11084}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Cell","Microscopy","Imaging","Image"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Digital reconstruction"],"countries":["United States"],"publications":[{"id":455,"pubmed_id":15043222,"title":"The cell-centered database: a database for multiscale structural and protein localization data from light and electron microscopy.","year":2004,"url":"http://doi.org/10.1385/NI:1:4:379","authors":"Martone ME., Zhang S., Gupta A., Qian X., He H., Price DL., Wong M., Santini S., Ellisman MH.,","journal":"Neuroinformatics","doi":"10.1385/NI:1:4:379","created_at":"2021-09-30T08:23:09.384Z","updated_at":"2021-09-30T08:23:09.384Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":17,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":19,"relation":"undefined"}],"grants":[{"id":1414,"fairsharing_record_id":2020,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:05.800Z","updated_at":"2021-09-30T09:25:05.800Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1415,"fairsharing_record_id":2020,"organisation_id":1967,"relation":"maintains","created_at":"2021-09-30T09:25:05.839Z","updated_at":"2021-09-30T09:25:05.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1967,"name":"National Center for Microscopy and Imaging Research (NCMIR), La Jolla, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2033","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:34:58.678Z","metadata":{"doi":"10.25504/FAIRsharing.qe8tz8","name":"HOGENOM","status":"ready","contacts":[{"contact_name":"Simon Penel","contact_email":"penel@biomserv.univ-lyon1.fr"}],"homepage":"http://hogenom.univ-lyon1.fr/","identifier":2033,"description":"HOGENOM is a phylogenomic database providing families of homologous genes and associated phylogenetic trees (and sequence alignments) for a wide set sequenced organisms.","abbreviation":"HOGENOM","data_curation":{"url":"http://hogenom.univ-lyon1.fr/doc","type":"manual/automated","notes":"Data has been selected, clustered, aligned, etc ..."},"support_links":[{"url":"http://hogenom.univ-lyon1.fr/about","type":"Help documentation"},{"url":"http://hogenom.univ-lyon1.fr/doc","type":"Help documentation"},{"url":"http://hogenom.univ-lyon1.fr/contents","name":"Information about the content","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","data_access_condition":{"url":"http://hogenom.univ-lyon1.fr/doc","type":"open","notes":"licensed under http://www.cecill.info licence"},"data_contact_information":"yes","data_deposition_condition":{"url":"http://hogenom.univ-lyon1.fr/doc","type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000500","bsg-d000500"],"name":"FAIRsharing record for: HOGENOM","abbreviation":"HOGENOM","url":"https://fairsharing.org/10.25504/FAIRsharing.qe8tz8","doi":"10.25504/FAIRsharing.qe8tz8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HOGENOM is a phylogenomic database providing families of homologous genes and associated phylogenetic trees (and sequence alignments) for a wide set sequenced organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11352},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12168}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Phylogenetics","Life Science"],"domains":["Classification","Sequence","Homologous","Orthologous"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":508,"pubmed_id":19534752,"title":"Databases of homologous gene families for comparative genomics.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-S6-S3","authors":"Penel S., Arigon AM., Dufayard JF., Sertier AS., Daubin V., Duret L., Gouy M., Perrière G.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-S6-S3","created_at":"2021-09-30T08:23:15.409Z","updated_at":"2021-09-30T08:23:15.409Z"}],"licence_links":[{"licence_name":"CeCILL license","licence_id":112,"licence_url":"https://cecill.info/licences.fr.html","link_id":296,"relation":"undefined"}],"grants":[{"id":1454,"fairsharing_record_id":2033,"organisation_id":2298,"relation":"maintains","created_at":"2021-09-30T09:25:07.176Z","updated_at":"2021-09-30T09:25:07.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":2298,"name":"PBIL, Lyon, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1455,"fairsharing_record_id":2033,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:07.215Z","updated_at":"2021-09-30T09:32:21.586Z","grant_id":1584,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-08-EMER-011-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2034","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T13:22:45.184Z","metadata":{"doi":"10.25504/FAIRsharing.dg1f0e","name":"Homologous Vertebrate Genes Database","status":"deprecated","contacts":[{"contact_name":"Laurent Duret","contact_email":"duret@biomserv.univ-lyon1.fr","contact_orcid":"0000-0003-2836-3463"}],"homepage":"http://pbil.univ-lyon1.fr/databases/hovergen.html","citations":[],"identifier":2034,"description":"HOVERGEN is a database of homologous vertebrate genes that allows one to select sets of homologous genes among vertebrate species, and to visualize multiple alignments and phylogenetic trees.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","abbreviation":"HOVERGEN","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2024-04-17","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000501","bsg-d000501"],"name":"FAIRsharing record for: Homologous Vertebrate Genes Database","abbreviation":"HOVERGEN","url":"https://fairsharing.org/10.25504/FAIRsharing.dg1f0e","doi":"10.25504/FAIRsharing.dg1f0e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HOVERGEN is a database of homologous vertebrate genes that allows one to select sets of homologous genes among vertebrate species, and to visualize multiple alignments and phylogenetic trees.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Protein","Gene"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":495,"pubmed_id":15713731,"title":"Tree pattern matching in phylogenetic trees: automatic search for orthologs or paralogs in homologous gene sequence databases.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti325","authors":"Dufayard JF., Duret L., Penel S., Gouy M., Rechenmann F., Perrière G.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti325","created_at":"2021-09-30T08:23:13.791Z","updated_at":"2021-09-30T08:23:13.791Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1253,"relation":"undefined"}],"grants":[{"id":1456,"fairsharing_record_id":2034,"organisation_id":2298,"relation":"maintains","created_at":"2021-09-30T09:25:07.252Z","updated_at":"2021-09-30T09:25:07.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":2298,"name":"PBIL, Lyon, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2035","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:15.542Z","metadata":{"doi":"10.25504/FAIRsharing.vssch2","name":"PIR SuperFamily","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"pirmail@georgetown.edu"}],"homepage":"https://proteininformationresource.org/pirwww/dbinfo/pirsf.shtml","identifier":2035,"description":"The PIR SuperFamily concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships.","abbreviation":"PIRSF","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://proteininformationresource.org/pirwww/about/doc/tutorials/pirsftutorial.ppt","name":"Tutorial (PPT)","type":"Training documentation"}],"year_creation":1984,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://proteininformationresource.org/pirwww/about/linkpir.shtml","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000502","bsg-d000502"],"name":"FAIRsharing record for: PIR SuperFamily","abbreviation":"PIRSF","url":"https://fairsharing.org/10.25504/FAIRsharing.vssch2","doi":"10.25504/FAIRsharing.vssch2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PIR SuperFamily concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Molecular structure","Sequence cluster","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2898,"pubmed_id":14681371,"title":"PIRSF: family classification system at the Protein Information Resource.","year":2003,"url":"http://doi.org/10.1093/nar/gkh097","authors":"Wu CH., Nikolskaya A., Huang H., Yeh LS., Natale DA., Vinayaka CR., Hu ZZ., Mazumder R., Kumar S., Kourtesis P., Ledley RS., Suzek BE., Arminski L., Chen Y., Zhang J., Cardenas JL., Chung S., Castro-Alvear J., Dinkov G., Barker WC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh097","created_at":"2021-09-30T08:27:56.848Z","updated_at":"2021-09-30T08:27:56.848Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1932,"relation":"undefined"},{"licence_name":"PIR Terms of Use","licence_id":669,"licence_url":"https://proteininformationresource.org/pirwww/dbinfo/pirsf.shtml","link_id":1933,"relation":"undefined"}],"grants":[{"id":1459,"fairsharing_record_id":2035,"organisation_id":3047,"relation":"maintains","created_at":"2021-09-30T09:25:07.434Z","updated_at":"2021-09-30T09:25:07.434Z","grant_id":null,"is_lead":false,"saved_state":{"id":3047,"name":"University of Delaware, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1462,"fairsharing_record_id":2035,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:07.547Z","updated_at":"2021-09-30T09:25:07.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1458,"fairsharing_record_id":2035,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:07.395Z","updated_at":"2021-09-30T09:25:07.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1460,"fairsharing_record_id":2035,"organisation_id":1129,"relation":"maintains","created_at":"2021-09-30T09:25:07.477Z","updated_at":"2021-09-30T09:25:07.477Z","grant_id":null,"is_lead":false,"saved_state":{"id":1129,"name":"Georgetown University Medical Center , Georgetown University, Washington DC, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9244,"fairsharing_record_id":2035,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.911Z","updated_at":"2022-04-11T12:07:24.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2036","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-24T15:02:05.285Z","metadata":{"doi":"10.25504/FAIRsharing.bdv7z3","name":"PRofils pour l'Identification Automatique du Metabolisme","status":"deprecated","contacts":[{"contact_name":"Daniel Kahn","contact_email":"dkahn@toulouse.inra.fr"}],"homepage":"http://priam.prabi.fr/","citations":[],"identifier":2036,"description":"In English, PRIAM stands for enzyme-specific profiles for metabolic pathway prediction. PRIAM is a method for automated enzyme detection in a fully sequenced genome, based on all sequences available in the ENZYME database.","abbreviation":"PRIAM","data_curation":{"type":"not found"},"support_links":[{"url":"priam@listes.univ-lyon1.fr","type":"Support email"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000503","bsg-d000503"],"name":"FAIRsharing record for: PRofils pour l'Identification Automatique du Metabolisme","abbreviation":"PRIAM","url":"https://fairsharing.org/10.25504/FAIRsharing.bdv7z3","doi":"10.25504/FAIRsharing.bdv7z3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In English, PRIAM stands for enzyme-specific profiles for metabolic pathway prediction. PRIAM is a method for automated enzyme detection in a fully sequenced genome, based on all sequences available in the ENZYME database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":["Genome Context","Metabolic pathway prediction profile"],"countries":["France"],"publications":[{"id":486,"pubmed_id":14602924,"title":"Enzyme-specific profiles for genome annotation: PRIAM.","year":2003,"url":"http://doi.org/10.1093/nar/gkg847","authors":"Claudel-Renard C., Chevalet C., Faraut T., Kahn D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg847","created_at":"2021-09-30T08:23:12.859Z","updated_at":"2021-09-30T08:23:12.859Z"}],"licence_links":[],"grants":[{"id":1463,"fairsharing_record_id":2036,"organisation_id":2439,"relation":"maintains","created_at":"2021-09-30T09:25:07.571Z","updated_at":"2021-09-30T09:25:07.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2037","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:34:37.714Z","metadata":{"doi":"10.25504/FAIRsharing.c54ywe","name":"ArachnoServer: Spider toxin database","status":"deprecated","contacts":[{"contact_name":"Glenn King","contact_email":"glenn.king@imb.uq.edu.au"}],"homepage":"http://www.arachnoserver.org","identifier":2037,"description":"ArachnoServer is a manually curated database containing information on the sequence, three-dimensional structure, and biological activity of protein toxins derived from spider venom.","abbreviation":"ArachnoServer","data_curation":{"type":"not found"},"support_links":[{"url":"support@arachnoserver.org","type":"Support email"},{"url":"http://www.arachnoserver.org/docs/ArachnoServerUserManual.pdf","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://www.arachnoserver.org/blastForm.html","name":"BLAST"},{"url":"http://www.arachnoserver.org/toxNoteMainMenu.html","name":"ToxNote"}],"deprecation_date":"2021-06-24","deprecation_reason":"The database is no longer available. Message on the homepage : \"Unfortunately, given the age of the database and the fact that it was no longer compliant with today’s safety standards of web hosting by The University of Queensland (as exposed by recent hacker attacks), it was decided to take ArachnoServer offline, until a more permanent solution can be found to fix these issues (which might require rebuilding the entire database from scratch). As soon as we have decided how to proceed we will make an announcement in the IST newsletter. We are sorry for this inconvenience, but at least the existing toxin records should still be available via UniProt.\"","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000504","bsg-d000504"],"name":"FAIRsharing record for: ArachnoServer: Spider toxin database","abbreviation":"ArachnoServer","url":"https://fairsharing.org/10.25504/FAIRsharing.c54ywe","doi":"10.25504/FAIRsharing.c54ywe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ArachnoServer is a manually curated database containing information on the sequence, three-dimensional structure, and biological activity of protein toxins derived from spider venom.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11247},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16647}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Drug","Protein","Toxicity"],"taxonomies":["Arachnida"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":492,"pubmed_id":21036864,"title":"ArachnoServer 2.0, an updated online resource for spider toxin sequences and structures.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1058","authors":"Herzig V., Wood DL., Newell F., Chaumeil PA., Kaas Q., Binford GJ., Nicholson GM., Gorse D., King GF.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1058","created_at":"2021-09-30T08:23:13.477Z","updated_at":"2021-09-30T08:23:13.477Z"}],"licence_links":[],"grants":[{"id":1465,"fairsharing_record_id":2037,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:25:07.626Z","updated_at":"2021-09-30T09:25:07.626Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1466,"fairsharing_record_id":2037,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:25:07.662Z","updated_at":"2021-09-30T09:29:16.203Z","grant_id":168,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"DP0774245","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1464,"fairsharing_record_id":2037,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:07.597Z","updated_at":"2021-09-30T09:25:07.597Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1467,"fairsharing_record_id":2037,"organisation_id":2395,"relation":"maintains","created_at":"2021-09-30T09:25:07.698Z","updated_at":"2021-09-30T09:25:07.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":2395,"name":"Queensland Facility for Advanced Bioinformatics, Australia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":8442,"fairsharing_record_id":2037,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:32:39.668Z","updated_at":"2021-09-30T09:32:39.716Z","grant_id":1722,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"DP0878450","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2029","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:19.270Z","metadata":{"doi":"10.25504/FAIRsharing.hcr23j","name":"Biospecimens/Biorepositories: Rare Disease Hub","status":"deprecated","contacts":[{"contact_email":"ordr@nih.gov"}],"homepage":"http://biospecimens.ordr.info.nih.gov/default.aspx","identifier":2029,"description":"The Biospecimens/Biorepositories Website: Rare Disease-HUB (RD-HUB) contains a searchable database of biospecimens collected, stored, and distributed by biorepositories in the United States and around the globe. RD-HUB is designed to help and assist interested parties and investigators search, locate, and identify desired biospecimens needed for the research and to facilitate collaboration and sharing of material and data among investigators across the globe.","abbreviation":"RD-HUB","data_curation":{"type":"not found"},"support_links":[{"url":"http://biospecimens.ordr.info.nih.gov/Contact.aspx","type":"Contact form"},{"url":"http://biospecimens.ordr.info.nih.gov/FAQs.aspx","type":"Frequently Asked Questions (FAQs)"},{"url":"http://rarediseases.info.nih.gov/files/Permitted_Field_Values.xlsx","type":"Help documentation"},{"url":"http://rarediseases.info.nih.gov/files/User_Manual_Database_Search.pdf","type":"Training documentation"},{"url":"http://rarediseases.info.nih.gov/files/User_Manual_Data_Entry.pdf","type":"Training documentation"},{"url":"https://twitter.com/Biospecimens","type":"Twitter"}],"data_versioning":"not found","associated_tools":[{"url":"http://biospecimens.ordr.info.nih.gov/Contributingrepository.aspx","name":"submit"},{"url":"http://biospecimens.ordr.info.nih.gov/Locator.aspx","name":"search"}],"deprecation_date":"2016-06-30","deprecation_reason":"Discussion with Henrietta Hyatt-Knorr from NIH NCATS reveals that this database is no longer available and has been replaced by a list of resources, at http://www.ncats.nih.gov/grdr/rdhub","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000496","bsg-d000496"],"name":"FAIRsharing record for: Biospecimens/Biorepositories: Rare Disease Hub","abbreviation":"RD-HUB","url":"https://fairsharing.org/10.25504/FAIRsharing.hcr23j","doi":"10.25504/FAIRsharing.hcr23j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biospecimens/Biorepositories Website: Rare Disease-HUB (RD-HUB) contains a searchable database of biospecimens collected, stored, and distributed by biorepositories in the United States and around the globe. RD-HUB is designed to help and assist interested parties and investigators search, locate, and identify desired biospecimens needed for the research and to facilitate collaboration and sharing of material and data among investigators across the globe.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11092}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Biological sample annotation","Biological sample","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1444,"fairsharing_record_id":2029,"organisation_id":2269,"relation":"maintains","created_at":"2021-09-30T09:25:06.820Z","updated_at":"2021-09-30T09:25:06.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2269,"name":"ORDR","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2024","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:43.249Z","metadata":{"doi":"10.25504/FAIRsharing.hsyjka","name":"National Database for Autism Research","status":"deprecated","contacts":[{"contact_email":"ndarhelp@mail.nih.gov"}],"homepage":"http://ndar.nih.gov/","identifier":2024,"description":"National Database for Autism Research (NDAR) is an extensible, scalable informatics platform for austism spectrum disorder-relevant data at all levels of biological and behavioral organization (molecules, genes, neural tissue, behavioral, social and environmental interactions) and for all data types (text, numeric, image, time series, etc.). NDAR was developed to share data across the entire ASD field and to facilitate collaboration across laboratories, as well as interconnectivity with other informatics platforms.","abbreviation":"NDAR","data_curation":{"type":"not found"},"support_links":[{"url":"NDARHelp@mail.nih.gov","type":"Support email"},{"url":"https://ndar.nih.gov/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ndar.nih.gov/training.html","type":"Training documentation"},{"url":"https://twitter.com/NDAR_NIH","type":"Twitter"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://ndar.nih.gov/contribute.html","name":"Submission Process"},{"url":"http://ndar.nih.gov/query_data.html","name":"Query"},{"url":"http://ndar.nih.gov/data_from_labs.html","name":"Browse"},{"url":"http://ndar.nih.gov/cloud_overview.html","name":"Cloud User Access"}],"deprecation_date":"2020-10-25","deprecation_reason":"This resource has been merged with the NIMH Data Archive.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000491","bsg-d000491"],"name":"FAIRsharing record for: National Database for Autism Research","abbreviation":"NDAR","url":"https://fairsharing.org/10.25504/FAIRsharing.hsyjka","doi":"10.25504/FAIRsharing.hsyjka","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: National Database for Autism Research (NDAR) is an extensible, scalable informatics platform for austism spectrum disorder-relevant data at all levels of biological and behavioral organization (molecules, genes, neural tissue, behavioral, social and environmental interactions) and for all data types (text, numeric, image, time series, etc.). NDAR was developed to share data across the entire ASD field and to facilitate collaboration across laboratories, as well as interconnectivity with other informatics platforms.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10790},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10959},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11088}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Autistic disorder","Behavior","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":480,"pubmed_id":22622767,"title":"Sharing heterogeneous data: the national database for autism research.","year":2012,"url":"http://doi.org/10.1007/s12021-012-9151-4","authors":"Hall D., Huerta MF., McAuliffe MJ., Farber GK.,","journal":"Neuroinformatics","doi":"10.1007/s12021-012-9151-4","created_at":"2021-09-30T08:23:12.159Z","updated_at":"2021-09-30T08:23:12.159Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":134,"relation":"undefined"}],"grants":[{"id":1427,"fairsharing_record_id":2024,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:06.242Z","updated_at":"2021-09-30T09:25:06.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1428,"fairsharing_record_id":2024,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:06.281Z","updated_at":"2021-09-30T09:25:06.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2026","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:12:05.115Z","metadata":{"doi":"10.25504/FAIRsharing.72j8ph","name":"Parkinson's Disease Biomarkers Program Data Management Resource","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"PDBP-HELP@mail.nih.gov"}],"homepage":"https://pdbp.ninds.nih.gov/","identifier":2026,"description":"The NINDS Parkinson's Disease (PD) Biomarkers Program Data Management Resource enables web-based data entry for clinical studies supporting PD biomarker development, as well as broad data sharing (imaging, clinical, genetic, and biospecimen analysis) across the entire PD research community. The PDBP DMR coordinates information and access to PD biospecimens distributed through the NINDS Human Genetics, DNA, iPSC , Cell Line and Biospecimen Repository and the Harvard Neurodiscovery Initiative.","abbreviation":"PDBP DMR","data_curation":{"type":"not found"},"support_links":[{"url":"https://pdbp.ninds.nih.gov/policy","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"url":"https://pdbp.ninds.nih.gov/how-to-guide#request-access-to-the-dmr","type":"controlled","notes":"Request access to the DMR"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://pdbp.ninds.nih.gov/how-to-guide#submit-data-to-the-dmr","type":"controlled","notes":"A data submission request form and DMR Data Use Certificate must be completed, signed, and approved."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000493","bsg-d000493"],"name":"FAIRsharing record for: Parkinson's Disease Biomarkers Program Data Management Resource","abbreviation":"PDBP DMR","url":"https://fairsharing.org/10.25504/FAIRsharing.72j8ph","doi":"10.25504/FAIRsharing.72j8ph","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NINDS Parkinson's Disease (PD) Biomarkers Program Data Management Resource enables web-based data entry for clinical studies supporting PD biomarker development, as well as broad data sharing (imaging, clinical, genetic, and biospecimen analysis) across the entire PD research community. The PDBP DMR coordinates information and access to PD biospecimens distributed through the NINDS Human Genetics, DNA, iPSC , Cell Line and Biospecimen Repository and the Harvard Neurodiscovery Initiative.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10792},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11090}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Biological sample annotation","Biomarker","Parkinson's disease","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"FOIA","licence_id":320,"licence_url":"https://www.nih.gov/institutes-nih/nih-office-director/office-communications-public-liaison/freedom-information-act-office","link_id":408,"relation":"undefined"},{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":411,"relation":"undefined"},{"licence_name":"PDBP Privacy Policy","licence_id":653,"licence_url":"https://pdbp.ninds.nih.gov/privacy","link_id":412,"relation":"undefined"}],"grants":[{"id":9314,"fairsharing_record_id":2026,"organisation_id":2023,"relation":"maintains","created_at":"2022-04-11T12:07:29.779Z","updated_at":"2022-04-11T12:07:29.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2027","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:54.310Z","metadata":{"doi":"10.25504/FAIRsharing.mbgt2n","name":"Oryzabase","status":"ready","contacts":[{"contact_name":"Nori Kurata","contact_email":"nkurata@lab.nig.ac.jp"}],"homepage":"http://www.shigen.nig.ac.jp/rice/oryzabase/","identifier":2027,"description":"The Oryzabase is a comprehensive rice science database established in 2000 by rice researcher's committee in Japan. The Oryzabase consists of five parts, (1) genetic resource stock information, (2) gene dictionary, (3) chromosome maps, (4) mutant images, and (5) fundamental knowledge of rice science.","abbreviation":"Oryzabase","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.shigen.nig.ac.jp/rice/oryzabaseV4/about/contactUs","type":"Contact form"},{"url":"http://shigen.nig.ac.jp/rice/oryzabase/about/updateInfo","type":"Help documentation"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"http://www.shigen.nig.ac.jp/rice/oryzabaseV4/blast/search","name":"BLAST"},{"url":"http://shigen.nig.ac.jp/rice/seganalysis/","name":"SegAnalysis"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://shigen.nig.ac.jp/rice/oryzabase_submission/gene_nomenclature/","type":"open","notes":"Genes can be submitted using an online submission form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000494","bsg-d000494"],"name":"FAIRsharing record for: Oryzabase","abbreviation":"Oryzabase","url":"https://fairsharing.org/10.25504/FAIRsharing.mbgt2n","doi":"10.25504/FAIRsharing.mbgt2n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oryzabase is a comprehensive rice science database established in 2000 by rice researcher's committee in Japan. The Oryzabase consists of five parts, (1) genetic resource stock information, (2) gene dictionary, (3) chromosome maps, (4) mutant images, and (5) fundamental knowledge of rice science.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Classification","Structure","Gene","Genome"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":339,"pubmed_id":16403737,"title":"Oryzabase. An integrated biological and genome information database for rice.","year":2006,"url":"http://doi.org/10.1104/pp.105.063008","authors":"Kurata N., Yamazaki Y.,","journal":"Plant Physiol.","doi":"10.1104/pp.105.063008","created_at":"2021-09-30T08:22:56.483Z","updated_at":"2021-09-30T08:22:56.483Z"}],"licence_links":[],"grants":[{"id":1436,"fairsharing_record_id":2027,"organisation_id":2182,"relation":"maintains","created_at":"2021-09-30T09:25:06.593Z","updated_at":"2021-09-30T09:25:06.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":2182,"name":"North Pacific Research Board (NPRB), USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2040","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:59.968Z","metadata":{"doi":"10.25504/FAIRsharing.52qw6p","name":"Description of Plant Viruses","status":"ready","contacts":[{"contact_name":"Mike Adams","contact_email":"mike.adams@bbsrc.ac.uk"}],"homepage":"http://www.dpvweb.net","identifier":2040,"description":"DPVweb provides a central source of information about viruses, viroids and satellites of plants, fungi and protozoa. Comprehensive taxonomic information, including brief descriptions of each family and genus, and classified lists of virus sequences are provided. The database also holds detailed, curated, information for all sequences of viruses, viroids and satellites of plants, fungi and protozoa that are complete or that contain at least one complete gene. The database will not be updated with sequence or taxonomic data from Aug 2013.","abbreviation":"DPVweb","data_curation":{"url":"https://www.dpvweb.net/","type":"manual","notes":"The automated submission forms generate PDFs that are reviewed by the AAB Virology group."},"year_creation":2004,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.aab.org.uk/dpv-submission-form/","type":"open","notes":"Descriptions of Plant Viruses’ can be submited by members of the community."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000507","bsg-d000507"],"name":"FAIRsharing record for: Description of Plant Viruses","abbreviation":"DPVweb","url":"https://fairsharing.org/10.25504/FAIRsharing.52qw6p","doi":"10.25504/FAIRsharing.52qw6p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DPVweb provides a central source of information about viruses, viroids and satellites of plants, fungi and protozoa. Comprehensive taxonomic information, including brief descriptions of each family and genus, and classified lists of virus sequences are provided. The database also holds detailed, curated, information for all sequences of viruses, viroids and satellites of plants, fungi and protozoa that are complete or that contain at least one complete gene. The database will not be updated with sequence or taxonomic data from Aug 2013.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Taxonomic classification","Sequence annotation","Classification","Gene"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["China","United Kingdom"],"publications":[{"id":497,"pubmed_id":16381892,"title":"DPVweb: a comprehensive database of plant and fungal virus genes and genomes.","year":2005,"url":"http://doi.org/10.1093/nar/gkj023","authors":"Adams MJ., Antoniw JF.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj023","created_at":"2021-09-30T08:23:13.996Z","updated_at":"2021-09-30T08:23:13.996Z"}],"licence_links":[{"licence_name":"DPVweb Copyright information","licence_id":252,"licence_url":"http://www.dpvweb.net/","link_id":1243,"relation":"undefined"}],"grants":[{"id":1472,"fairsharing_record_id":2040,"organisation_id":3277,"relation":"funds","created_at":"2021-09-30T09:25:07.956Z","updated_at":"2021-09-30T09:25:07.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":3277,"name":"Zhejiang Academy of Agriculture","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1470,"fairsharing_record_id":2040,"organisation_id":2459,"relation":"maintains","created_at":"2021-09-30T09:25:07.876Z","updated_at":"2021-09-30T09:25:07.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":2459,"name":"Rothamsted Research, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1471,"fairsharing_record_id":2040,"organisation_id":123,"relation":"funds","created_at":"2021-09-30T09:25:07.919Z","updated_at":"2021-09-30T09:25:07.919Z","grant_id":null,"is_lead":false,"saved_state":{"id":123,"name":"Association of Applied Biologists, UK","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1473,"fairsharing_record_id":2040,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:07.989Z","updated_at":"2021-09-30T09:25:07.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2041","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:34:53.615Z","metadata":{"doi":"10.25504/FAIRsharing.f63h4k","name":"NARCIS","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"narcis@dans.knaw.nl"}],"homepage":"http://www.narcis.nl/?Language=en","citations":[],"identifier":2041,"description":"NARCIS provides access to scientific information, including (open access) publications from the repositories of all the Dutch universities, KNAW, NWO and a number of research institutes, which is not referenced in other citation databases.","abbreviation":"NARCIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.narcis.nl/faq/Language/en","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2023-05-18","deprecation_reason":"This resource has been decommissioned as of July 3, 2023 (see https://www.narcis.nl/decommission/Language/en). Further information is available at https://www.narcis.nl/faq/Language/en, and suggests deposition at OpenAIRE instead.","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000508","bsg-d000508"],"name":"FAIRsharing record for: NARCIS","abbreviation":"NARCIS","url":"https://fairsharing.org/10.25504/FAIRsharing.f63h4k","doi":"10.25504/FAIRsharing.f63h4k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NARCIS provides access to scientific information, including (open access) publications from the repositories of all the Dutch universities, KNAW, NWO and a number of research institutes, which is not referenced in other citation databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Bibliography","Publication","Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Data Archiving and Networked Services (DANS) Privacy Policy","licence_id":214,"licence_url":"https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/privacy-statement","link_id":1775,"relation":"undefined"},{"licence_name":"Data Archiving and Networked Services Disclaimer","licence_id":215,"licence_url":"https://dans.knaw.nl/en/about/organisation-and-policy/disclaimer/disclaimer","link_id":1774,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1773,"relation":"undefined"}],"grants":[{"id":1475,"fairsharing_record_id":2041,"organisation_id":644,"relation":"maintains","created_at":"2021-09-30T09:25:08.038Z","updated_at":"2021-09-30T09:25:08.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":644,"name":"Data Archiving and Networked Services (DANS), Den Hagg, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1474,"fairsharing_record_id":2041,"organisation_id":2464,"relation":"funds","created_at":"2021-09-30T09:25:08.013Z","updated_at":"2021-09-30T09:25:08.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":2464,"name":"Royal Netherlands Academy of Arts and Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1476,"fairsharing_record_id":2041,"organisation_id":125,"relation":"maintains","created_at":"2021-09-30T09:25:08.068Z","updated_at":"2021-09-30T09:25:08.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":125,"name":"Association of Universities in the Netherlands (VSNU)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1477,"fairsharing_record_id":2041,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:25:08.111Z","updated_at":"2021-09-30T09:25:08.111Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2031","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-23T16:28:26.243Z","metadata":{"doi":"10.25504/FAIRsharing.rs2815","name":"Protein Data Bank Japan","status":"ready","contacts":[{"contact_name":"Haruki Nakamura","contact_email":"harukin@protein.osaka-u.ac.jp","contact_orcid":"0000-0001-6690-5863"}],"homepage":"http://www.pdbj.org/","citations":[{"doi":"10.1002/pro.3273","pubmed_id":28815765,"publication_id":915},{"doi":"10.1093/nar/gkw962","pubmed_id":27789697,"publication_id":2916},{"doi":"10.1002/pro.4211","pubmed_id":null,"publication_id":3503}],"identifier":2031,"description":"PDBj (Protein Data Bank Japan) maintains the single global PDB/BMRB/EMDB archives of macromolecular structures and provide integrated tools, under the Joint Usage and Research activities of the Institute for Protein Research. Supports browsing in multiple languages such as Japanese, Chinese, and Korean; SeSAW identifies functionally or evolutionarily conserved motifs by locating and annotating sequence and structural similarities, tools for bioinformaticians, and more.","abbreviation":"PDBj","data_curation":{"url":"http://www.wwpdb.org/documentation/procedure","type":"manual/automated"},"support_links":[{"url":"http://pdbj.org/#!contact?tab=PDBjmaster","type":"Contact form"},{"url":"https://pdbj.org/help/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://pdbj.org/help/","type":"Help documentation"},{"url":"https://twitter.com/PDBj_en","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://sysimm.ifrec.osaka-u.ac.jp/ash_service/","name":"ASH"},{"url":"http://pdbj.org/emnavi/viewtop.php","name":"Yorodumi"},{"url":"http://sysimm.ifrec.osaka-u.ac.jp/MAFFTash/","name":"MAFFTash 4.1"},{"url":"http://bmrbdep.pdbj.org/en/nmrtoolbox/","name":"NMR Tool Box"},{"url":"http://pdbj.org/gmfit/","name":"Pairwise gmfit"},{"url":"http://pdbj.org/crnpred/","name":"CRNPRED"},{"url":"http://pdbj.org/spanner/","name":"Spanner"},{"url":"https://sysimm.ifrec.osaka-u.ac.jp/pipeline7/","name":"SFAS"},{"url":"http://homcos.pdbj.org/?LANG=en","name":"HOMCOS"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010910","name":"re3data:r3d100010910","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008912","name":"SciCrunch:RRID:SCR_008912","portal":"SciCrunch"}],"data_access_condition":{"url":"https://pdbj.org/info/terms-conditions","type":"open"},"resource_sustainability":{"url":"http://www.wwpdb.org/about/faq","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://deposit-pdbj.wwpdb.org/deposition","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000498","bsg-d000498"],"name":"FAIRsharing record for: Protein Data Bank Japan","abbreviation":"PDBj","url":"https://fairsharing.org/10.25504/FAIRsharing.rs2815","doi":"10.25504/FAIRsharing.rs2815","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBj (Protein Data Bank Japan) maintains the single global PDB/BMRB/EMDB archives of macromolecular structures and provide integrated tools, under the Joint Usage and Research activities of the Institute for Protein Research. Supports browsing in multiple languages such as Japanese, Chinese, and Korean; SeSAW identifies functionally or evolutionarily conserved motifs by locating and annotating sequence and structural similarities, tools for bioinformaticians, and more.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12315},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12677}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Bioinformatics","Structural Biology","Proteomics","Virology","Epidemiology"],"domains":["Molecular structure","Function analysis","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Japan"],"publications":[{"id":915,"pubmed_id":28815765,"title":"New tools and functions in data-out activities at Protein Data Bank Japan (PDBj).","year":2017,"url":"http://doi.org/10.1002/pro.3273","authors":"Kinjo AR,Bekker GJ,Wako H,Endo S,Tsuchiya Y,Sato H,Nishi H,Kinoshita K,Suzuki H,Kawabata T,Yokochi M,Iwata T,Kobayashi N,Fujiwara T,Kurisu G,Nakamura H","journal":"Protein Sci","doi":"10.1002/pro.3273","created_at":"2021-09-30T08:24:01.046Z","updated_at":"2021-09-30T08:24:01.046Z"},{"id":1350,"pubmed_id":21976737,"title":"Protein Data Bank Japan (PDBj): maintaining a structural data archive and resource description framework format.","year":2011,"url":"http://doi.org/10.1093/nar/gkr811","authors":"Kinjo AR., Suzuki H., Yamashita R., Ikegawa Y., Kudou T., Igarashi R., Kengaku Y., Cho H., Standley DM., Nakagawa A., Nakamura H.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr811","created_at":"2021-09-30T08:24:51.067Z","updated_at":"2021-09-30T08:24:51.067Z"},{"id":2913,"pubmed_id":12099029,"title":"[Development of PDBj: Advanced database for protein structures].","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12099029","authors":"Nakamura H,Ito N,Kusunoki M","journal":"Tanpakushitsu Kakusan Koso","doi":null,"created_at":"2021-09-30T08:27:58.798Z","updated_at":"2021-09-30T08:27:58.798Z"},{"id":2914,"pubmed_id":20798081,"title":"PDBj Mine: design and implementation of relational database interface for Protein Data Bank Japan.","year":2010,"url":"http://doi.org/10.1093/database/baq021","authors":"Kinjo AR,Yamashita R,Nakamura H","journal":"Database (Oxford)","doi":"10.1093/database/baq021","created_at":"2021-09-30T08:27:58.907Z","updated_at":"2021-09-30T08:27:58.907Z"},{"id":2915,"pubmed_id":21796434,"title":"Protein Data Bank Japan (PDBj): an interview with Haruki Nakamura of Osaka University by Wendy A. Warr.","year":2011,"url":"http://doi.org/10.1007/s10822-011-9460-y","authors":"Nakamura H","journal":"J Comput Aided Mol Des","doi":"10.1007/s10822-011-9460-y","created_at":"2021-09-30T08:27:59.016Z","updated_at":"2021-09-30T08:27:59.016Z"},{"id":2916,"pubmed_id":27789697,"title":"Protein Data Bank Japan (PDBj): updated user interfaces, resource description framework, analysis tools for large structures.","year":2016,"url":"http://doi.org/10.1093/nar/gkw962","authors":"Kinjo AR,Bekker GJ,Suzuki H,Tsuchiya Y,Kawabata T,Ikegawa Y,Nakamura H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw962","created_at":"2021-09-30T08:27:59.122Z","updated_at":"2021-09-30T11:29:48.770Z"},{"id":3503,"pubmed_id":null,"title":"Protein Data Bank Japan: Celebrating our 20th anniversary during a global pandemic as the Asian hub of three dimensional macromolecular structural data","year":2021,"url":"http://dx.doi.org/10.1002/pro.4211","authors":"Bekker, Gert‐Jan; Yokochi, Masashi; Suzuki, Hirofumi; Ikegawa, Yasuyo; Iwata, Takeshi; Kudou, Takahiro; Yura, Kei; Fujiwara, Toshimichi; Kawabata, Takeshi; Kurisu, Genji; ","journal":"Protein Science","doi":"10.1002/pro.4211","created_at":"2022-08-02T08:18:25.005Z","updated_at":"2022-08-02T08:18:25.005Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2778,"relation":"applies_to_content"}],"grants":[{"id":1450,"fairsharing_record_id":2031,"organisation_id":2335,"relation":"funds","created_at":"2021-09-30T09:25:07.037Z","updated_at":"2021-09-30T09:25:07.037Z","grant_id":null,"is_lead":false,"saved_state":{"id":2335,"name":"Platform Project for Supporting in Drug Discovery and Life Science Research, Japan Agency for Medical Research and Development","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1451,"fairsharing_record_id":2031,"organisation_id":1378,"relation":"funds","created_at":"2021-09-30T09:25:07.062Z","updated_at":"2021-09-30T09:25:07.062Z","grant_id":null,"is_lead":false,"saved_state":{"id":1378,"name":"Institute for Bioinformatics Research and Development, Japan Science and Technology Agency","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9736,"fairsharing_record_id":2031,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T08:19:45.182Z","updated_at":"2022-08-02T08:19:45.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1448,"fairsharing_record_id":2031,"organisation_id":2277,"relation":"maintains","created_at":"2021-09-30T09:25:06.980Z","updated_at":"2022-08-02T08:19:45.184Z","grant_id":null,"is_lead":true,"saved_state":{"id":2277,"name":"Osaka University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9027,"fairsharing_record_id":2031,"organisation_id":1595,"relation":"funds","created_at":"2022-03-24T15:13:58.529Z","updated_at":"2022-03-24T15:13:58.529Z","grant_id":1244,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science","grant":"26440078","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1449,"fairsharing_record_id":2031,"organisation_id":646,"relation":"funds","created_at":"2021-09-30T09:25:07.014Z","updated_at":"2021-09-30T09:25:07.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":646,"name":"Database Integration Coordination Program from the National Bioscience Database Center","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbkFCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--faf4b366223ded9869dc7b9398534b5cbb93478c/Screenshot%20from%202022-08-02%2009-15-29.png?disposition=inline","exhaustive_licences":false}},{"id":"2032","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:15.560Z","metadata":{"doi":"10.25504/FAIRsharing.33yggg","name":"PAZAR","status":"deprecated","contacts":[{"contact_name":"Wyeth W. Wasserman","contact_email":"wyeth@cmmt.ubc.ca","contact_orcid":"0000-0001-6098-6412"}],"homepage":"http://www.pazar.info/","identifier":2032,"description":"PAZAR is a software framework for the construction and maintenance of regulatory sequence data annotations; a framework which allows multiple boutique databases to function independently within a larger system (or information mall). The goal of PAZAR is to be the public repository for regulatory data.","abbreviation":"PAZAR","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.pazar.info/cgi-bin/help_FAQ.pl","type":"Help documentation"},{"url":"http://www.pazar.info/cgi-bin/overview.pl","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000499","bsg-d000499"],"name":"FAIRsharing record for: PAZAR","abbreviation":"PAZAR","url":"https://fairsharing.org/10.25504/FAIRsharing.33yggg","doi":"10.25504/FAIRsharing.33yggg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PAZAR is a software framework for the construction and maintenance of regulatory sequence data annotations; a framework which allows multiple boutique databases to function independently within a larger system (or information mall). The goal of PAZAR is to be the public repository for regulatory data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Regulation of gene expression","Biological regulation","Transcription factor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":494,"pubmed_id":18971253,"title":"The PAZAR database of gene regulatory information coupled to the ORCA toolkit for the study of regulatory sequences.","year":2008,"url":"http://doi.org/10.1093/nar/gkn783","authors":"Portales-Casamar E., Arenillas D., Lim J., Swanson MI., Jiang S., McCallum A., Kirov S., Wasserman WW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn783","created_at":"2021-09-30T08:23:13.677Z","updated_at":"2021-09-30T08:23:13.677Z"},{"id":1617,"pubmed_id":17916232,"title":"PAZAR: a framework for collection and dissemination of cis-regulatory sequence annotation.","year":2007,"url":"http://doi.org/10.1186/gb-2007-8-10-r207","authors":"Portales-Casamar E,Kirov S,Lim J,Lithwick S,Swanson MI,Ticoll A,Snoddy J,Wasserman WW","journal":"Genome Biol","doi":"10.1186/gb-2007-8-10-r207","created_at":"2021-09-30T08:25:21.195Z","updated_at":"2021-09-30T08:25:21.195Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":710,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"4","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:36:09.096Z","metadata":{"doi":"10.25504/FAIRsharing.ezznsh","name":"Newick tree Format","status":"ready","contacts":[{"contact_name":"Joe Felsenstein","contact_email":"joe@gs.washington.edu"}],"homepage":"http://evolution.genetics.washington.edu/phylip/newicktree.html","identifier":4,"description":"The Newick Standard for representing trees in computer-readable form makes use of the correspondence between trees and nested parentheses, noticed in 1857 by the famous English mathematician Arthur Cayley.","abbreviation":null,"support_links":[{"url":"https://en.wikipedia.org/wiki/Newick_format","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":1986},"legacy_ids":["bsg-000250","bsg-s000250"],"name":"FAIRsharing record for: Newick tree Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ezznsh","doi":"10.25504/FAIRsharing.ezznsh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Newick Standard for representing trees in computer-readable form makes use of the correspondence between trees and nested parentheses, noticed in 1857 by the famous English mathematician Arthur Cayley.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12441}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Life Science","Comparative Genomics"],"domains":["Dendrogram","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4886,"fairsharing_record_id":4,"organisation_id":714,"relation":"maintains","created_at":"2021-09-30T09:27:06.132Z","updated_at":"2021-09-30T09:27:06.132Z","grant_id":null,"is_lead":true,"saved_state":{"id":714,"name":"Department of Genome Sciences, University of Washington, Seattle, United States","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"5","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:25:34.018Z","metadata":{"doi":"10.25504/FAIRsharing.1sgm8q","name":"BioModels Ontology","status":"uncertain","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"http://bioportal.bioontology.org/ontologies/BIOMODELS","identifier":5,"description":"The BioModels Ontology is an OWL Representation of the models in the BioModels repository. This resource has not been updated recently within BioPortal, and no official homepage can be found, therefore we have marked its status as Uncertain. Please get in touch with us if you have any information on this project.","abbreviation":null,"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIOMODELS","name":"BIOMODELS","portal":"BioPortal"}]},"legacy_ids":["bsg-002795","bsg-s002795"],"name":"FAIRsharing record for: BioModels Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1sgm8q","doi":"10.25504/FAIRsharing.1sgm8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioModels Ontology is an OWL Representation of the models in the BioModels repository. This resource has not been updated recently within BioPortal, and no official homepage can be found, therefore we have marked its status as Uncertain. Please get in touch with us if you have any information on this project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Modeling and simulation","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1784,"pubmed_id":21835028,"title":"Integrating systems biology models and biomedical ontologies.","year":2011,"url":"http://doi.org/10.1186/1752-0509-5-124","authors":"Hoehndorf R,Dumontier M,Gennari JH,Wimalaratne S,de Bono B,Cook DL,Gkoutos GV","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-5-124","created_at":"2021-09-30T08:25:40.213Z","updated_at":"2021-09-30T08:25:40.213Z"}],"licence_links":[],"grants":[{"id":4888,"fairsharing_record_id":5,"organisation_id":270,"relation":"maintains","created_at":"2021-09-30T09:27:06.212Z","updated_at":"2021-09-30T09:27:06.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":270,"name":"BioModels Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4889,"fairsharing_record_id":5,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:06.254Z","updated_at":"2021-09-30T09:31:20.773Z","grant_id":1128,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"248502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4887,"fairsharing_record_id":5,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:06.169Z","updated_at":"2021-09-30T09:31:23.229Z","grant_id":1146,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBG0043581","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"6","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-02T14:06:42.999Z","metadata":{"doi":"10.25504/FAIRsharing.5pp7gn","name":"Minimum Information about a Neuroscience Investigation","status":"ready","contacts":[],"homepage":"https://doi.org/10.1038/npre.2008.1720.1","citations":[],"identifier":6,"description":"This module represents the formalised opinion of the authors and the CARMEN consortium, which identifies the minimum information required to report the use of electrophysiology in a neuroscience study. A MINI module represents the minimum information that should be reported about a dataset to facilitate computational access and analysis to allow a reader to interpret and critically evaluate the processes performed and the conclusions reached, and to support their experimental corroboration. In practice a MINI module comprises a checklist of information that should be provided (for example about the protocols employed) when a data set is submitted to the CARMEN system. Please note that, while these guidelines remain available, the CARMEN project can no longer be accessed. Please let us know if you have any information regarding this resource.","abbreviation":"MINI","support_links":[{"url":"http://mibbi.sf.net/projects/MINI.shtml","name":"Historical MIBBI listing (MIBBI is now deprecated)","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000167","bsg-s000167"],"name":"FAIRsharing record for: Minimum Information about a Neuroscience Investigation","abbreviation":"MINI","url":"https://fairsharing.org/10.25504/FAIRsharing.5pp7gn","doi":"10.25504/FAIRsharing.5pp7gn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module represents the formalised opinion of the authors and the CARMEN consortium, which identifies the minimum information required to report the use of electrophysiology in a neuroscience study. A MINI module represents the minimum information that should be reported about a dataset to facilitate computational access and analysis to allow a reader to interpret and critically evaluate the processes performed and the conclusions reached, and to support their experimental corroboration. In practice a MINI module comprises a checklist of information that should be provided (for example about the protocols employed) when a data set is submitted to the CARMEN system. Please note that, while these guidelines remain available, the CARMEN project can no longer be accessed. Please let us know if you have any information regarding this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11579},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11974}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Neuroscience","Electrophysiology"],"domains":["Neuron","Assay","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":3505,"pubmed_id":null,"title":"Minimum Information about a Neuroscience Investigation (MINI) Electrophysiology","year":2019,"url":"http://dx.doi.org/10.1038/npre.2008.1720.1","authors":"Gibson, Frank; Overton, Paul; Smulders, Tom; Schultz, Simon; Eglen, Stephen; Ingram, Colin; Panzeri, Stefano; Bream, Phil; Sernagor, Evelyne; Cunningham, Mark; Adams, Christopher; Echtermeyer, Christoph; Simonotto, Jennifer; Kaiser, Marcus; Swan, Daniel; Fletcher, Marty; Lord, Phillip; ","journal":"Nat Prec","doi":"10.1038/npre.2008.1720.1","created_at":"2022-08-02T14:02:00.372Z","updated_at":"2022-08-02T14:02:00.372Z"}],"licence_links":[],"grants":[{"id":9751,"fairsharing_record_id":6,"organisation_id":2145,"relation":"maintains","created_at":"2022-08-02T14:02:19.917Z","updated_at":"2022-08-02T14:02:19.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":2145,"name":"Newcastle University, Newcastle upon Tyne, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":4891,"fairsharing_record_id":6,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:06.416Z","updated_at":"2021-09-30T09:29:23.941Z","grant_id":231,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/I000984/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"7","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:40.207Z","metadata":{"doi":"10.25504/FAIRsharing.yecp83","name":"Spider Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Martin Ramirez","contact_email":"ramirez@macn.gov.ar","contact_orcid":"0000-0002-0358-0130"},{"contact_name":"Peter Michalik","contact_email":"michalik@uni-greifswald.de","contact_orcid":"0000-0003-2459-9153"}],"homepage":"https://github.com/obophenotype/spider-ontology","citations":[{"doi":"10.3390/d11100202","pubmed_id":null,"publication_id":3205}],"identifier":7,"description":"An ontology for spider comparative biology including anatomical parts (e.g. leg, claw), behavior (e.g. courtship, combing) and products (i.g. silk, web, borrow).","abbreviation":"SPD","support_links":[],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SPD","name":"Bioportal:SPD","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/spd.html","name":"OBOFoundry:spd","portal":"OBO Foundry"},{"url":"https://www.ebi.ac.uk/ols/ontologies/spd","name":"OLS:spd","portal":"OLS"}]},"legacy_ids":["bsg-000015","bsg-s000015"],"name":"FAIRsharing record for: Spider Anatomy Ontology","abbreviation":"SPD","url":"https://fairsharing.org/10.25504/FAIRsharing.yecp83","doi":"10.25504/FAIRsharing.yecp83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for spider comparative biology including anatomical parts (e.g. leg, claw), behavior (e.g. courtship, combing) and products (i.g. silk, web, borrow).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Behavior"],"taxonomies":["Arachnida"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3205,"pubmed_id":null,"title":"The Spider Anatomy Ontology (SPD)—A Versatile Tool to Link Anatomy with Cross-Disciplinary Data","year":2019,"url":"http://dx.doi.org/10.3390/d11100202","authors":"Ramírez, Martín J.; Michalik, Peter; ","journal":"Diversity","doi":"10.3390/d11100202","created_at":"2022-02-01T12:01:13.124Z","updated_at":"2022-02-01T12:01:13.124Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2594,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"8","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-15T21:51:28.171Z","metadata":{"doi":"10.25504/FAIRsharing.qtwya6","name":"Material Element component of the SWEET ontology","status":"deprecated","contacts":[{"contact_name":"Nitin","contact_email":"jhanit@gmail.com"},{"contact_name":"Brandon Whitehead","contact_email":"whiteheadb@landcareresearch.co.nz","contact_orcid":null}],"homepage":"https://github.com/ESIPFed/sweet/blob/master/src/matrElement.ttl","citations":[],"identifier":8,"description":"Material Element component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","abbreviation":null,"support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MATRELEMENT","name":"MATRELEMENT","portal":"BioPortal"}],"deprecation_date":"2021-12-02","deprecation_reason":"Deprecated because we represent all SWEET component ontologies via the main SWEET ontology record."},"legacy_ids":["bsg-000964","bsg-s000964"],"name":"FAIRsharing record for: Material Element component of the SWEET ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qtwya6","doi":"10.25504/FAIRsharing.qtwya6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Material Element component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2518,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"9","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:02.544Z","metadata":{"doi":"10.25504/FAIRsharing.qtb9yb","name":"Minimal Anatomical Terminology","status":"deprecated","contacts":[{"contact_name":"Jonathan Bard","contact_email":"j.bard@ed.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/MAT?p=summary","identifier":9,"description":"Minimal set of terms for anatomy.","abbreviation":"MAT","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MAT","name":"MAT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mat.html","name":"mat","portal":"OBO Foundry"}],"deprecation_date":"2016-03-31","deprecation_reason":"http://www.obofoundry.org/ontology/mat.html"},"legacy_ids":["bsg-000012","bsg-s000012"],"name":"FAIRsharing record for: Minimal Anatomical Terminology","abbreviation":"MAT","url":"https://fairsharing.org/10.25504/FAIRsharing.qtb9yb","doi":"10.25504/FAIRsharing.qtb9yb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal set of terms for anatomy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":4893,"fairsharing_record_id":9,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:27:06.602Z","updated_at":"2021-09-30T09:27:06.602Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"10","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:02.629Z","metadata":{"doi":"10.25504/FAIRsharing.vhgehd","name":"Subcellular Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Maryann Martone","contact_email":"mmartone@ucsd.edu"}],"homepage":"http://purl.bioontology.org/ontology/SAO","identifier":10,"description":"SAO describes structures from the dimensional range encompassing cellular and subcellular structure, supracellular domains, and macromolecules.","abbreviation":"SAO","deprecation_date":"2016-03-31","deprecation_reason":"This resource has been deprecated within the OBO Foundry (http://www.obofoundry.org/ontology/sao.html)."},"legacy_ids":["bsg-000014","bsg-s000014"],"name":"FAIRsharing record for: Subcellular Anatomy Ontology","abbreviation":"SAO","url":"https://fairsharing.org/10.25504/FAIRsharing.vhgehd","doi":"10.25504/FAIRsharing.vhgehd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SAO describes structures from the dimensional range encompassing cellular and subcellular structure, supracellular domains, and macromolecules.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell","Cellular component"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:19:36.736Z","metadata":{"doi":"10.25504/FAIRsharing.2mk2zb","name":"Logical Observation Identifier Names and Codes","status":"ready","contacts":[{"contact_name":"Jamalynne Deckard","contact_email":"jkdeckar@regenstrief.org"}],"homepage":"https://loinc.org/","identifier":2,"description":"LOINC is a common language (set of identifiers, names, and codes) for clinical and laboratory observations. LOINC is a catalog of measurements, including laboratory tests, clinical measures like vital signs and anthropomorphic measures, standardized survey instruments, and more. LOINC enables the exchange and aggregation of clinical results for care delivery, outcomes management, and research by providing a set of universal codes and structured names to unambiguously identify things you can measure or observe.","abbreviation":"LOINC","support_links":[{"url":"https://www.linkedin.com/showcase/loinc/","name":"LOINC Linkedin","type":"Blog/News"},{"url":"loinc@loinc.org","name":"General Enquiries","type":"Support email"},{"url":"https://loinc.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://loinc.org/forum/","name":"User forum","type":"Forum"},{"url":"https://loinc.org/downloads/files/LOINCManual.pdf","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCfhOOuCgajr0-H_MGtIHkCA","name":"Youtube Channel","type":"Video"},{"url":"https://loinc.org/get-started","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/LOINC","name":"Wikipedia","type":"Wikipedia"},{"url":"https://loinc.org/feed/","name":"LOINC feed","type":"Blog/News"},{"url":"https://twitter.com/LOINC","name":"LOINC Twitter","type":"Twitter"}],"year_creation":1994,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LOINC","name":"LOINC","portal":"BioPortal"}]},"legacy_ids":["bsg-000106","bsg-s000106"],"name":"FAIRsharing record for: Logical Observation Identifier Names and Codes","abbreviation":"LOINC","url":"https://fairsharing.org/10.25504/FAIRsharing.2mk2zb","doi":"10.25504/FAIRsharing.2mk2zb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LOINC is a common language (set of identifiers, names, and codes) for clinical and laboratory observations. LOINC is a catalog of measurements, including laboratory tests, clinical measures like vital signs and anthropomorphic measures, standardized survey instruments, and more. LOINC enables the exchange and aggregation of clinical results for care delivery, outcomes management, and research by providing a set of universal codes and structured names to unambiguously identify things you can measure or observe.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17349},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17685},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11023},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11268},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11956},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12205},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12416},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13173},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16978}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Genetic polymorphism","Assay","Phenotype","Diagnosis","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1089,"pubmed_id":9749897,"title":"Combining laboratory data sets from multiple institutions using the logical observation identifier names and codes (LOINC).","year":1998,"url":"http://doi.org/10.1016/s1386-5056(98)00089-6","authors":"Baorto DM,Cimino JJ,Parvin CA,Kahn MG","journal":"Int J Med Inform","doi":"10.1016/s1386-5056(98)00089-6","created_at":"2021-09-30T08:24:20.615Z","updated_at":"2021-09-30T08:24:20.615Z"},{"id":1090,"pubmed_id":22285984,"title":"Enabling international adoption of LOINC through translation.","year":2012,"url":"http://doi.org/10.1016/j.jbi.2012.01.005","authors":"Vreeman DJ,Chiaravalloti MT,Hook J,McDonald CJ","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2012.01.005","created_at":"2021-09-30T08:24:20.716Z","updated_at":"2021-09-30T08:24:20.716Z"},{"id":1101,"pubmed_id":25656513,"title":"Supporting interoperability of genetic data with LOINC.","year":2015,"url":"http://doi.org/10.1093/jamia/ocu012","authors":"Deckard J,McDonald CJ,Vreeman DJ","journal":"J Am Med Inform Assoc","doi":"10.1093/jamia/ocu012","created_at":"2021-09-30T08:24:21.890Z","updated_at":"2021-09-30T08:24:21.890Z"}],"licence_links":[{"licence_name":"LOINC and RELMA Terms of Use","licence_id":494,"licence_url":"https://loinc.org/terms-of-use/","link_id":222,"relation":"undefined"},{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":221,"relation":"undefined"}],"grants":[{"id":8433,"fairsharing_record_id":2,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:37.618Z","updated_at":"2021-09-30T09:32:37.670Z","grant_id":1706,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN276201400138P","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4882,"fairsharing_record_id":2,"organisation_id":2414,"relation":"maintains","created_at":"2021-09-30T09:27:05.979Z","updated_at":"2021-09-30T09:27:05.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2414,"name":"Regenstrief Institute, Inc, Indianapolis, Indiana, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":4883,"fairsharing_record_id":2,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:06.008Z","updated_at":"2021-09-30T09:29:02.542Z","grant_id":68,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN276201400239P","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8055,"fairsharing_record_id":2,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:40.828Z","updated_at":"2021-09-30T09:30:40.882Z","grant_id":819,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HSN2762008000006C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"3","type":"fairsharing_records","attributes":{"created_at":"2016-10-05T10:00:10.000Z","updated_at":"2022-07-20T13:10:08.555Z","metadata":{"doi":"10.25504/FAIRsharing.dg76vs","name":"Synthetic Biology Open Language Visual","status":"ready","contacts":[{"contact_name":"SBOL Editors","contact_email":"editors@sbolstandard.org"}],"homepage":"https://sbolstandard.org/visual-about/","identifier":3,"description":"Synthetic Biology Open Language Visual (SBOL Visual) is an open-source graphical notation that uses schematic “glyphs” to specify genetic parts, devices, modules, and systems.","abbreviation":"SBOL Visual","support_links":[{"url":"https://github.com/SynBioDex/SBOL-visual/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://sbolstandard.org/visual-spec-examples/","name":"Examples from the Specification","type":"Help documentation"},{"url":"https://sbolstandard.org/visual-examples/","name":"Examples","type":"Help documentation"},{"url":"https://sbolstandard.org/visual-glyphs/","name":"SBOL Visual Glyphs","type":"Help documentation"},{"url":"https://sbolstandard.org/sbol-visual-ontology/","name":"SBOL Visual Ontology","type":"Help documentation"},{"url":"https://github.com/SynBioDex/SBOL-visual","name":"GitHub Repository","type":"Github"},{"url":"https://twitter.com/SBOLstandard","name":"@SBOLstandard","type":"Twitter"}],"year_creation":2015},"legacy_ids":["bsg-000678","bsg-s000678"],"name":"FAIRsharing record for: Synthetic Biology Open Language Visual","abbreviation":"SBOL Visual","url":"https://fairsharing.org/10.25504/FAIRsharing.dg76vs","doi":"10.25504/FAIRsharing.dg76vs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Synthetic Biology Open Language Visual (SBOL Visual) is an open-source graphical notation that uses schematic “glyphs” to specify genetic parts, devices, modules, and systems.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10851},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11883},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12070},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12222},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16992}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Synthetic Biology","Data Visualization"],"domains":["DNA sequence data","Sequence annotation","Nucleic acid design","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Canada","China","Denmark","Egypt","Finland","France","India","Japan","Latvia","Netherlands","Norway","Saudi Arabia","Singapore","Spain","United Kingdom","United States"],"publications":[{"id":1636,"pubmed_id":27267452,"title":"Improving Synthetic Biology Communication: Recommended Practices for Visual Depiction and Digital Submission of Genetic Designs.","year":2016,"url":"http://doi.org/10.1021/acssynbio.6b00146","authors":"Hillson NJ,Plahar HA,Beal J,Prithviraj R","journal":"ACS Synth Biol","doi":"10.1021/acssynbio.6b00146","created_at":"2021-09-30T08:25:23.279Z","updated_at":"2021-09-30T08:25:23.279Z"},{"id":2650,"pubmed_id":26633141,"title":"SBOL Visual: A Graphical Language for Genetic Designs.","year":2015,"url":"http://doi.org/10.1371/journal.pbio.1002310","authors":"Quinn JY,Cox RS 3rd,Adler A,Beal J,Bhatia S,Cai Y,Chen J,Clancy K,Galdzicki M,Hillson NJ,Le Novere N,Maheshwari AJ,McLaughlin JA,Myers CJ,P U,Pocock M,Rodriguez C,Soldatova L,Stan GB,Swainston N,Wipat A,Sauro HM","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1002310","created_at":"2021-09-30T08:27:25.412Z","updated_at":"2021-09-30T08:27:25.412Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2404,"relation":"undefined"}],"grants":[{"id":8175,"fairsharing_record_id":3,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:20.446Z","updated_at":"2021-09-30T09:31:20.542Z","grant_id":1126,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1356401","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4885,"fairsharing_record_id":3,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:06.094Z","updated_at":"2021-09-30T09:29:18.741Z","grant_id":190,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1355909","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4884,"fairsharing_record_id":3,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:06.051Z","updated_at":"2021-09-30T09:31:56.532Z","grant_id":1397,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J02175X/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-13T10:31:53.063Z","metadata":{"doi":"10.25504/FAIRsharing.1414v8","name":"BRENDA tissue / enzyme source","status":"ready","contacts":[{"contact_name":"BrendaTissue Administrators","contact_email":"a.chang@tu-bs.de"}],"homepage":"http://www.brenda-enzymes.info","identifier":1,"description":"A structured controlled vocabulary for the source of an enzyme. It comprises terms for tissues, cell lines, cell types and cell cultures from uni- and multicellular organisms.","abbreviation":"BTO","support_links":[{"url":"https://support.brenda-enzymes.org/open.php","type":"Contact form"},{"url":"https://www.brenda-enzymes.info/information/tutorial_training/BRENDA_Tutorial_BTO.pdf","type":"Help documentation"}],"year_creation":1991,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BTO","name":"BTO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bto.html","name":"bto","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000063","bsg-s000063"],"name":"FAIRsharing record for: BRENDA tissue / enzyme source","abbreviation":"BTO","url":"https://fairsharing.org/10.25504/FAIRsharing.1414v8","doi":"10.25504/FAIRsharing.1414v8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the source of an enzyme. It comprises terms for tissues, cell lines, cell types and cell cultures from uni- and multicellular organisms.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18253}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Enzymology","Life Science"],"domains":["Reaction data","Cell","Enzyme","Organ"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":9,"pubmed_id":21030441,"title":"The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources.","year":2010,"url":"http://doi.org/10.1093/nar/gkq968","authors":"Gremse M, Chang A, Schomburg I, Grote A, Scheer M, Ebeling C, Schomburg D","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq968","created_at":"2021-09-30T08:22:21.498Z","updated_at":"2021-09-30T08:22:21.498Z"},{"id":1357,"pubmed_id":30395242,"title":"BRENDA in 2019: a European ELIXIR core data resource.","year":2018,"url":"http://doi.org/10.1093/nar/gky1048","authors":"Jeske L,Placzek S,Schomburg I,Chang A,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1048","created_at":"2021-09-30T08:24:51.780Z","updated_at":"2021-09-30T11:29:06.677Z"},{"id":1358,"pubmed_id":14681450,"title":"BRENDA, the enzyme database: updates and major new developments.","year":2003,"url":"http://doi.org/10.1093/nar/gkh081","authors":"Schomburg I,Chang A,Ebeling C,Gremse M,Heldt C,Huhn G,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh081","created_at":"2021-09-30T08:24:51.872Z","updated_at":"2021-09-30T11:29:06.777Z"},{"id":1590,"pubmed_id":25378310,"title":"BRENDA in 2015: exciting developments in its 25th year of existence.","year":2014,"url":"http://doi.org/10.1093/nar/gku1068","authors":"Chang A,Schomburg I,Placzek S,Jeske L,Ulbrich M,Xiao M,Sensen CW,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1068","created_at":"2021-09-30T08:25:18.284Z","updated_at":"2021-09-30T11:29:14.902Z"},{"id":2406,"pubmed_id":23203881,"title":"BRENDA in 2013: integrated reactions, kinetic data, enzyme function data, improved disease classification: new options and contents in BRENDA.","year":2012,"url":"http://doi.org/10.1093/nar/gks1049","authors":"Schomburg I,Chang A,Placzek S,Sohngen C,Rother M,Lang M,Munaretto C,Ulas S,Stelzer M,Grote A,Scheer M,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1049","created_at":"2021-09-30T08:26:55.301Z","updated_at":"2021-09-30T11:29:35.078Z"}],"licence_links":[{"licence_name":"License agreement for users of BRENDA","licence_id":490,"licence_url":"https://www.brenda-enzymes.info/copy.php","link_id":357,"relation":"undefined"}],"grants":[{"id":4879,"fairsharing_record_id":1,"organisation_id":309,"relation":"maintains","created_at":"2021-09-30T09:27:05.873Z","updated_at":"2021-09-30T09:27:05.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":309,"name":"BRENDA Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4878,"fairsharing_record_id":1,"organisation_id":1871,"relation":"funds","created_at":"2021-09-30T09:27:05.831Z","updated_at":"2021-09-30T09:29:33.494Z","grant_id":299,"is_lead":false,"saved_state":{"id":1871,"name":"Ministry of Science and Culture of Lower Saxony, Hannover, Germany","grant":"74ZN1122","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4880,"fairsharing_record_id":1,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:27:05.913Z","updated_at":"2021-09-30T09:29:34.261Z","grant_id":305,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4881,"fairsharing_record_id":1,"organisation_id":963,"relation":"funds","created_at":"2021-09-30T09:27:05.947Z","updated_at":"2021-09-30T09:31:05.700Z","grant_id":1013,"is_lead":false,"saved_state":{"id":963,"name":"European Union, Free European Life-Science Information and Computational Services (FELICS)","grant":"021902 (RII3)","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9281,"fairsharing_record_id":1,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:27.516Z","updated_at":"2022-04-11T12:07:27.532Z","grant_id":1641,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01KX1235","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"18","type":"fairsharing_records","attributes":{"created_at":"2015-05-14T10:14:01.000Z","updated_at":"2024-02-05T13:33:45.980Z","metadata":{"doi":"10.25504/FAIRsharing.9qv71f","name":"Systems Biology Markup Language","status":"ready","contacts":[{"contact_name":"SBML Forum","contact_email":"sbml-discuss@googlegroups.com"}],"homepage":"http://sbml.org","citations":[{"doi":"10.1093/bioinformatics/btg015","pubmed_id":12611808,"publication_id":1851}],"identifier":18,"description":"The Systems Biology Markup Language (SBML) is a machine-readable exchange format for computational models of biological processes. Its strength is in representating phenomena at the scale of biochemical reactions, but it is not limited to that. By supporting SBML as an input and output format, different software tools can operate on the same representation of a model, removing chances for errors in translation and assuring a common starting point for analyses and simulations.","abbreviation":"SBML","support_links":[{"url":"http://sbml.org/Documents/FAQ","name":"SBML FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://sourceforge.net/p/sbml/sbml-org-website/","name":"Issue Tracker","type":"Forum"},{"url":"http://sbml.org/Forums","name":"SBML Forums","type":"Forum"},{"url":"http://sbml.org/SBML_Software_Guide","name":"SBML Software Guide","type":"Help documentation"},{"url":"http://sourceforge.net/projects/sbml","name":"SBML on SourceForge","type":"Help documentation"},{"url":"http://sbml.org/News","name":"SBML News","type":"Help documentation"},{"url":"http://sbml.org/Basic_Introduction_to_SBML","name":"Introduction to SBML","type":"Help documentation"},{"url":"http://sbml.org/About","name":"About SBML","type":"Help documentation"},{"url":"http://sbml.org/Community","name":"SBML Community","type":"Help documentation"},{"url":"http://sbml.org/Documents","name":"Documentation","type":"Help documentation"},{"url":"http://sbml.org/index.php?title=News\u0026action=feed","name":"RSS Feed","type":"Blog/News"},{"url":"https://twitter.com/sbmlnews","name":"@sbmlnews","type":"Twitter"},{"url":"https://sbml.org/specifications/sbml-level-1/version-2/sbml-level-1-v2.pdf","name":"Systems Biology Markup Language (SBML) Level 1: Structures and Facilities for Basic Model Definitions","type":"Other"},{"url":"https://github.com/sbmlteam/sbml-org-website/tree/main","type":"Github"}],"year_creation":1999,"associated_tools":[{"url":"http://sbml.org/Software","name":"SBML Software List"}]},"legacy_ids":["bsg-000052","bsg-s000052"],"name":"FAIRsharing record for: Systems Biology Markup Language","abbreviation":"SBML","url":"https://fairsharing.org/10.25504/FAIRsharing.9qv71f","doi":"10.25504/FAIRsharing.9qv71f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systems Biology Markup Language (SBML) is a machine-readable exchange format for computational models of biological processes. Its strength is in representating phenomena at the scale of biochemical reactions, but it is not limited to that. By supporting SBML as an input and output format, different software tools can operate on the same representation of a model, removing chances for errors in translation and assuring a common starting point for analyses and simulations.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10849},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11032},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11173},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11879},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12043},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12216},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18446}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Systems Biology"],"domains":["Mathematical model","Network model","Molecular entity","Modeling and simulation","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1851,"pubmed_id":12611808,"title":"The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.","year":2003,"url":"http://doi.org/10.1093/bioinformatics/btg015","authors":"Hucka M,Finney A,Sauro HM et al.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btg015","created_at":"2021-09-30T08:25:47.960Z","updated_at":"2021-09-30T08:25:47.960Z"},{"id":4112,"pubmed_id":31219795,"title":"The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2.","year":2019,"url":"https://doi.org/10.1515/jib-2019-0021","authors":"Hucka M, Bergmann FT, Chaouiya C, Dräger A, Hoops S, Keating SM, König M, Novère NL, Myers CJ, Olivier BG, Sahle S, Schaff JC, Sheriff R, Smith LP, Waltemath D, Wilkinson DJ, Zhang F","journal":"Journal of integrative bioinformatics","doi":"10.1515/jib-2019-0021","created_at":"2024-02-01T13:49:30.266Z","updated_at":"2024-02-01T13:49:30.266Z"},{"id":4113,"pubmed_id":null,"title":"Systems Biology Markup Language (SBML) Level 2 Version 5: Structures and Facilities for Model Definitions","year":2017,"url":"http://dx.doi.org/10.1515/jib-2015-271","authors":"Hucka, Michael; Bergmann, Frank T.; Dräger, Andreas; Hoops, Stefan; Keating, Sarah M.; Le Novère, Nicolas; Myers, Chris J.; Olivier, Brett G.; Sahle, Sven; Schaff, James C.; Smith, Lucian P.; Waltemath, Dagmar; Wilkinson, Darren J.; ","journal":"Journal of Integrative Bioinformatics","doi":"10.1515/jib-2015-271","created_at":"2024-02-01T14:22:06.489Z","updated_at":"2024-02-01T14:22:06.489Z"}],"licence_links":[],"grants":[{"id":4907,"fairsharing_record_id":18,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:07.159Z","updated_at":"2021-09-30T09:27:07.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4910,"fairsharing_record_id":18,"organisation_id":2498,"relation":"maintains","created_at":"2021-09-30T09:27:07.238Z","updated_at":"2021-09-30T09:27:07.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":2498,"name":"SBML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4908,"fairsharing_record_id":18,"organisation_id":344,"relation":"maintains","created_at":"2021-09-30T09:27:07.182Z","updated_at":"2021-09-30T09:27:07.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":344,"name":"California Institute of Technology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4909,"fairsharing_record_id":18,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:07.208Z","updated_at":"2021-09-30T09:32:24.429Z","grant_id":1606,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01 GM070923","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"19","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:17.458Z","metadata":{"doi":"10.25504/FAIRsharing.azr389","name":"ElectroCardioGraphy Ontology","status":"deprecated","contacts":[{"contact_name":"Raimond Winslow","contact_email":"rwinslow@jhu.edu","contact_orcid":"0000-0003-1719-1651"}],"homepage":"http://wiki.cvrgrid.org/index.php/Ontology_Development","citations":[],"identifier":19,"description":"The Electrocardiography (ECG) Ontology is a Driving Biological Project of the NCBO. The ECG Ontology will contain terms for describing electrocardiograms, their capture method(s) and their waveforms. This ontology was developed and is being maintained by the CardioVascular Research Grid (www.cvrg.org).","abbreviation":"ECG","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ECG","name":"ECG","portal":"BioPortal"}],"deprecation_date":"2022-03-03","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000048","bsg-s000048"],"name":"FAIRsharing record for: ElectroCardioGraphy Ontology","abbreviation":"ECG","url":"https://fairsharing.org/10.25504/FAIRsharing.azr389","doi":"10.25504/FAIRsharing.azr389","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Electrocardiography (ECG) Ontology is a Driving Biological Project of the NCBO. The ECG Ontology will contain terms for describing electrocardiograms, their capture method(s) and their waveforms. This ontology was developed and is being maintained by the CardioVascular Research Grid (www.cvrg.org).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Heart","Electrocardiography"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2378,"pubmed_id":20800107,"title":"Using an ECG reference ontology for semantic interoperability of ECG data.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.08.007","authors":"Goncalves B,Guizzardi G,Pereira Filho JG","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.08.007","created_at":"2021-09-30T08:26:52.243Z","updated_at":"2021-09-30T08:26:52.243Z"}],"licence_links":[],"grants":[{"id":4912,"fairsharing_record_id":19,"organisation_id":1259,"relation":"funds","created_at":"2021-09-30T09:27:07.321Z","updated_at":"2021-09-30T09:30:34.883Z","grant_id":774,"is_lead":false,"saved_state":{"id":1259,"name":"Horizon 2020 CNPq","grant":"481906/2009-6","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9146,"fairsharing_record_id":19,"organisation_id":1603,"relation":"maintains","created_at":"2022-04-11T12:07:17.443Z","updated_at":"2022-04-11T12:07:17.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":1603,"name":"Johns Hopkins University, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"20","type":"fairsharing_records","attributes":{"created_at":"2015-06-22T14:50:53.000Z","updated_at":"2021-11-24T13:17:08.382Z","metadata":{"doi":"10.25504/FAIRsharing.cp0ybc","name":"Wf4Ever Research Object Model 1.0","status":"ready","contacts":[{"contact_name":"Stian Soiland-Reyes","contact_email":"ro-model-dev@googlegroups.com","contact_orcid":"0000-0001-9842-9718"}],"homepage":"https://w3id.org/ro/","identifier":20,"description":"The Wf4Ever Research Object Model provides a vocabulary for the description of workflow-centric Research Objects: aggregations of resources relating to scientific workflows.","abbreviation":"RO","support_links":[{"url":"https://groups.google.com/forum/#!forum/ro-model-dev","type":"Forum"},{"url":"http://www.researchobject.org/overview/","type":"Help documentation"},{"url":"https://github.com/ResearchObject/ro-tutorials","type":"Github"}],"year_creation":2013},"legacy_ids":["bsg-000596","bsg-s000596"],"name":"FAIRsharing record for: Wf4Ever Research Object Model 1.0","abbreviation":"RO","url":"https://fairsharing.org/10.25504/FAIRsharing.cp0ybc","doi":"10.25504/FAIRsharing.cp0ybc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Wf4Ever Research Object Model provides a vocabulary for the description of workflow-centric Research Objects: aggregations of resources relating to scientific workflows.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11199}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science"],"domains":["Resource metadata","Reproducibility","Workflow"],"taxonomies":["All"],"user_defined_tags":["Research object"],"countries":["Poland","Spain","United Kingdom"],"publications":[{"id":2664,"pubmed_id":25276335,"title":"Structuring research methods and data with the research object model: genomics workflows as a case study.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-41","authors":"Hettne KM,Dharuri H,Zhao J,Wolstencroft K,Belhajjame K,Soiland-Reyes S,Mina E,Thompson M,Cruickshank D,Verdes-Montenegro L,Garrido J,de Roure D,Corcho O,Klyne G,van Schouwen R,'t Hoen PA,Bechhofer S,Goble C,Roos M","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-41","created_at":"2021-09-30T08:27:27.113Z","updated_at":"2021-09-30T08:27:27.113Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":538,"relation":"undefined"}],"grants":[{"id":4914,"fairsharing_record_id":20,"organisation_id":2430,"relation":"maintains","created_at":"2021-09-30T09:27:07.365Z","updated_at":"2021-09-30T09:27:07.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":2430,"name":"researchobject.org","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4916,"fairsharing_record_id":20,"organisation_id":921,"relation":"funds","created_at":"2021-09-30T09:27:07.416Z","updated_at":"2021-09-30T09:30:41.278Z","grant_id":822,"is_lead":false,"saved_state":{"id":921,"name":"European Commission FP7-ICT","grant":"270192","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"21","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.003Z","metadata":{"doi":"10.25504/FAIRsharing.5403x","name":"Medaka Fish Ontology","status":"deprecated","contacts":[{"contact_name":"Thorsten Heinrich","contact_email":"Thorsten.Henrich@embl-heidelberg.de"}],"homepage":"http://www.obofoundry.org/ontology/mfo.html","identifier":21,"description":"A structured controlled vocabulary of the anatomy and development of the Japanese medaka fish, Oryzias latipes.","abbreviation":"MFO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MFO","name":"MFO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mfo.html","name":"mfo","portal":"OBO Foundry"}],"deprecation_date":"2018-10-02","deprecation_reason":"As confirmed via the OBO Foundry entry for MFO."},"legacy_ids":["bsg-000022","bsg-s000022"],"name":"FAIRsharing record for: Medaka Fish Ontology","abbreviation":"MFO","url":"https://fairsharing.org/10.25504/FAIRsharing.5403x","doi":"10.25504/FAIRsharing.5403x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy and development of the Japanese medaka fish, Oryzias latipes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Cell cycle"],"taxonomies":["Oryzias latipes"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":751,"pubmed_id":15879458,"title":"MEPD: a resource for medaka gene expression patterns.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti478","authors":"Henrich T,Ramialison M,Wittbrodt B,Assouline B,Bourrat F,Berger A,Himmelbauer H,Sasaki T,Shimizu N,Westerfield M,Kondoh H,Wittbrodt J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti478","created_at":"2021-09-30T08:23:42.695Z","updated_at":"2021-09-30T08:23:42.695Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"22","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:41:08.744Z","metadata":{"doi":"10.25504/FAIRsharing.cnbjkn","name":"Single Nucleotide Polymorphism Ontology","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"adrien.coulet@loria.fr","contact_orcid":"0000-0002-1466-062X"}],"homepage":"https://members.loria.fr/ACoulet/files/snpontology1.6_description.html","identifier":22,"description":"The SNP Ontology is a domain ontology that provides a formal representation (OWL-DL) of genomic variations. Despite its name, SNP-Ontology, is not limited to the representation of SNPs but it encompasses genomic variations in a broader meaning. The SNP Ontology is general enough to enable the representation of variations observed in the genome of various species.","abbreviation":"SNPO","year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SNPO","name":"SNPO","portal":"BioPortal"}]},"legacy_ids":["bsg-002573","bsg-s002573"],"name":"FAIRsharing record for: Single Nucleotide Polymorphism Ontology","abbreviation":"SNPO","url":"https://fairsharing.org/10.25504/FAIRsharing.cnbjkn","doi":"10.25504/FAIRsharing.cnbjkn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SNP Ontology is a domain ontology that provides a formal representation (OWL-DL) of genomic variations. Despite its name, SNP-Ontology, is not limited to the representation of SNPs but it encompasses genomic variations in a broader meaning. The SNP Ontology is general enough to enable the representation of variations observed in the genome of various species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12514}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Proteomics"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism","Genome","Sequence variant","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2743,"pubmed_id":null,"title":"SNP-Ontology for semantic integration of genomic variation data.","year":2006,"url":"https://hal.inria.fr/inria-00067863v2","authors":"Adrien Coulet, Malika Smaïl-Tabbone, Pascale Benlian, Amedeo Napoli, Marie-Dominique Devignes","journal":"4th Annual International Conference on Intelligent Systems for Molecular Biology - ISMB'06, Fortaleza/Brésil.","doi":null,"created_at":"2021-09-30T08:27:36.898Z","updated_at":"2021-09-30T08:27:36.898Z"}],"licence_links":[],"grants":[{"id":4917,"fairsharing_record_id":22,"organisation_id":2981,"relation":"maintains","created_at":"2021-09-30T09:27:07.441Z","updated_at":"2021-09-30T09:27:07.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"23","type":"fairsharing_records","attributes":{"created_at":"2021-03-25T12:59:36.000Z","updated_at":"2022-07-20T09:26:43.840Z","metadata":{"doi":"10.25504/FAIRsharing.00adc9","name":"Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings","status":"ready","homepage":"https://id.loc.gov/authorities/childrensSubjects.html","identifier":23,"description":"The Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings (LCSHAC) is a thesaurus which is used in conjunction with LCSH. It is not a self-contained vocabulary, but is instead designed to complement LCSH and provide tailored subject access to children and young adults when LCSH does not provide suitable terminology, form, or scope for children.","abbreviation":"LCSHAC","support_links":[{"url":"https://id.loc.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://id.loc.gov/techcenter/searching.html","name":"Search Help","type":"Help documentation"},{"url":"https://id.loc.gov/techcenter/","name":"Download Help","type":"Help documentation"},{"url":"https://listserv.loc.gov/cgi-bin/wa?A0=ID","name":"LOC Linked Data Mailing List","type":"Mailing list"},{"url":"https://www.loc.gov/aba/cyac/childsubjhead.html","name":"About LCSH and Children's Headings","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-001601","bsg-s001601"],"name":"FAIRsharing record for: Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings","abbreviation":"LCSHAC","url":"https://fairsharing.org/10.25504/FAIRsharing.00adc9","doi":"10.25504/FAIRsharing.00adc9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings (LCSHAC) is a thesaurus which is used in conjunction with LCSH. It is not a self-contained vocabulary, but is instead designed to complement LCSH and provide tailored subject access to children and young adults when LCSH does not provide suitable terminology, form, or scope for children.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science","Literary Studies"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":754,"relation":"undefined"}],"grants":[{"id":4918,"fairsharing_record_id":23,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:27:07.465Z","updated_at":"2021-09-30T09:27:07.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"24","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T15:02:59.613Z","metadata":{"doi":"10.25504/FAIRsharing.68thre","name":"Metagenome/Microbes Environmental Ontology","status":"ready","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"https://bioportal.bioontology.org/ontologies/MEO","citations":[],"identifier":24,"description":"An Ontology for organismal habitats (especially focused on microbes)","abbreviation":"MEO","support_links":[{"url":"https://metadb.riken.jp/metadb/front","name":"RIKEN MetaDatabase","type":"Other"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEO","name":"BioPortal:MEO","portal":"BioPortal"}]},"legacy_ids":["bsg-002785","bsg-s002785"],"name":"FAIRsharing record for: Metagenome/Microbes Environmental Ontology","abbreviation":"MEO","url":"https://fairsharing.org/10.25504/FAIRsharing.68thre","doi":"10.25504/FAIRsharing.68thre","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An Ontology for organismal habitats (especially focused on microbes)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Microbiology"],"domains":["Metagenome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3126,"relation":"applies_to_content"}],"grants":[{"id":11854,"fairsharing_record_id":24,"organisation_id":2019,"relation":"maintains","created_at":"2024-06-27T13:51:38.742Z","updated_at":"2024-06-27T13:51:38.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"26","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2021-11-24T13:14:13.205Z","metadata":{"doi":"10.25504/FAIRsharing.emw6am","name":"Magnetic Resonance Dataset Acquisition Ontology","status":"ready","contacts":[{"contact_name":"Bernard Gibaud","contact_email":"bernard.gibaud@univ-rennes1.fr"}],"homepage":"http://neurolog.unice.fr/public_namespace/ontology","identifier":26,"description":"The OntoNeuroLOG Magnetic Resonance Dataset Acquisition (ONL-MR-DA) ontology is one of the modules in the OntoNeuroLOG ontology version 3.0, developed in the context of the NeuroLOG project., a French project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeneous resources in neuroimaging. DOLCE was used as the upper-level ontology for each of the modules within this ontology. This ontology covers the domain of Magnetic Resonance Imaging (MRI) dataset acquisition, i.e. MRI protocols, and MRI sequence parameters. In particular, it includes a multi-axial classification of MR sequences. The project and its funding has been completed, and the last release (3.0) as of 2013 is expected to be the final one. However, it continues to be available for use.","abbreviation":"ONL-MR-DA","support_links":[{"url":"neurolog@polytech.unice.fr","name":"General Helpdesk","type":"Support email"},{"url":"http://neurolog.unice.fr/ontoneurolog/v3.0/Documentation_OntoNeuroLOGv3.pdf","name":"Ontology Documentation","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONL-MR-DA","name":"ONL-MR-DA","portal":"BioPortal"}]},"legacy_ids":["bsg-000938","bsg-s000938"],"name":"FAIRsharing record for: Magnetic Resonance Dataset Acquisition Ontology","abbreviation":"ONL-MR-DA","url":"https://fairsharing.org/10.25504/FAIRsharing.emw6am","doi":"10.25504/FAIRsharing.emw6am","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OntoNeuroLOG Magnetic Resonance Dataset Acquisition (ONL-MR-DA) ontology is one of the modules in the OntoNeuroLOG ontology version 3.0, developed in the context of the NeuroLOG project., a French project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeneous resources in neuroimaging. DOLCE was used as the upper-level ontology for each of the modules within this ontology. This ontology covers the domain of Magnetic Resonance Imaging (MRI) dataset acquisition, i.e. MRI protocols, and MRI sequence parameters. In particular, it includes a multi-axial classification of MR sequences. The project and its funding has been completed, and the last release (3.0) as of 2013 is expected to be the final one. However, it continues to be available for use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Neuroscience"],"domains":["Magnetic resonance imaging","Protocol","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2065,"pubmed_id":18440282,"title":"Towards an ontology for sharing medical images and regions of interest in neuroimaging.","year":2008,"url":"http://doi.org/10.1016/j.jbi.2008.03.002","authors":"Temal L,Dojat M,Kassel G,Gibaud B","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2008.03.002","created_at":"2021-09-30T08:26:12.741Z","updated_at":"2021-09-30T08:26:12.741Z"}],"licence_links":[],"grants":[{"id":4923,"fairsharing_record_id":26,"organisation_id":1297,"relation":"maintains","created_at":"2021-09-30T09:27:07.623Z","updated_at":"2021-09-30T09:27:07.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":1297,"name":"I3S Laboratory, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":4924,"fairsharing_record_id":26,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:27:07.661Z","updated_at":"2021-09-30T09:31:15.032Z","grant_id":1086,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-06-TLOG-024","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"41","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:20:17.176Z","metadata":{"doi":"10.25504/FAIRsharing.j9e8qd","name":"Protein Affinity Reagent Controlled Vocabulary","status":"deprecated","contacts":[{"contact_email":"par@psidev.info"}],"homepage":"http://www.psidev.info/psi-par","citations":[],"identifier":41,"description":"The scopes of molecular interactions and protein affinity reagents are largely overlapping but are also partially unique. This fact is reflected in the PSI-PAR CV, which contains the majority of the terms from the PSI-MI CV and an additional ∼200 new terms as of its creation in 2009.","abbreviation":"PSI-PAR CV","year_creation":2009,"deprecation_date":"2023-10-03","deprecation_reason":"This collection is no longer being updated and has been deprecated by the Proteomics Standards Initiative group charter. "},"legacy_ids":["bsg-000157","bsg-s000157"],"name":"FAIRsharing record for: Protein Affinity Reagent Controlled Vocabulary","abbreviation":"PSI-PAR CV","url":"https://fairsharing.org/10.25504/FAIRsharing.j9e8qd","doi":"10.25504/FAIRsharing.j9e8qd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The scopes of molecular interactions and protein affinity reagents are largely overlapping but are also partially unique. This fact is reflected in the PSI-PAR CV, which contains the majority of the terms from the PSI-MI CV and an additional ∼200 new terms as of its creation in 2009.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11427}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Molecular interaction","Affinity","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":17,"pubmed_id":20622827,"title":"Minimum information about a protein affinity reagent (MIAPAR).","year":2010,"url":"http://doi.org/10.1038/nbt0710-650","authors":"Bourbeillon J, Orchard S, Benhar I, Borrebaeck C, de Daruvar A, Dubel S, Frank R, Gibson F, Gloriam D, Haslam N, Hiltker T, Humphrey-Smith I, Hust M, Juncker D, Koegl M, Konthur Z, Korn B, Krobitsch S, Muyldermans S, Nygren PA, Palcy S, Polic B, Rodriguez H, Sawyer A, Schlapshy M, Snyder M, Stoevesandt O, Taussig MJ, Templin M, Uhlen M, van der Maarel S, Wingren C, Hermjakob H, Sherman D","journal":"Nat. Biotechnol.","doi":"10.1038/nbt0710-650","created_at":"2021-09-30T08:22:22.271Z","updated_at":"2021-09-30T08:22:22.271Z"},{"id":1391,"pubmed_id":19674966,"title":"A community standard format for the representation of protein affinity reagents.","year":2009,"url":"http://doi.org/10.1074/mcp.M900185-MCP200","authors":"Gloriam DE1, Orchard S, Bertinetti D, Björling E, Bongcam-Rudloff E, Borrebaeck CA, Bourbeillon J, Bradbury AR, de Daruvar A, Dübel S, Frank R, Gibson TJ, Gold L, Haslam N, Herberg FW, Hiltke T, Hoheisel JD, Kerrien S, Koegl M, Konthur Z, Korn B, Landegren U, Montecchi-Palazzi L, Palcy S, Rodriguez H, Schweinsberg S, Sievert V, Stoevesandt O, Taussig MJ, Ueffing M, Uhlén M, van der Maarel S, Wingren C, Woollard P, Sherman DJ, Hermjakob H.","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M900185-MCP200","created_at":"2021-09-30T08:24:55.485Z","updated_at":"2021-09-30T08:24:55.485Z"}],"licence_links":[],"grants":[{"id":4963,"fairsharing_record_id":41,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:27:09.149Z","updated_at":"2021-09-30T09:27:09.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"42","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-13T15:52:23.950Z","metadata":{"doi":"10.25504/FAIRsharing.qz30cx","name":"GlycoCT sequence format for carbohydrates.","status":"ready","contacts":[{"contact_name":"W. von der Lieth","contact_email":"w.vonderlieth@dkfz-heidelberg.de"}],"homepage":"https://github.com/glycoinfo/GlycoCT/blob/main/GlycoCT.pdf","citations":[],"identifier":42,"description":"GlycoCT format is devised to describe the carbohydrate sequences, with a controlled vocabulary to name monosaccharides, adopting IUPAC rules to generate a consistent, machine-readable nomenclature, based on a connection table approach, instead of a linear encoding scheme. The format uses a block concept to describe frequently occurring special features of carbohydrate sequences like repeating units. It exists in two variants, a condensed form and a more verbose XML syntax. Sorting rules assure the uniqueness of the condensed form, thus making it suitable as a direct primary key for database applications, which rely on unique identifiers. GlycoCT encompasses the capabilities of the heterogeneous landscape of digital encoding schemata in glycomics and is thus a step forward on the way to a unified and broadly accepted sequence format in glycobioinformatics.","abbreviation":"GlycoCT XML","support_links":[{"url":"https://github.com/glycoinfo/GlycoCT/blob/main/GlycoCT.pdf","name":"GlycoCT Github repository","type":"Github"}]},"legacy_ids":["bsg-000530","bsg-s000530"],"name":"FAIRsharing record for: GlycoCT sequence format for carbohydrates.","abbreviation":"GlycoCT XML","url":"https://fairsharing.org/10.25504/FAIRsharing.qz30cx","doi":"10.25504/FAIRsharing.qz30cx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoCT format is devised to describe the carbohydrate sequences, with a controlled vocabulary to name monosaccharides, adopting IUPAC rules to generate a consistent, machine-readable nomenclature, based on a connection table approach, instead of a linear encoding scheme. The format uses a block concept to describe frequently occurring special features of carbohydrate sequences like repeating units. It exists in two variants, a condensed form and a more verbose XML syntax. Sorting rules assure the uniqueness of the condensed form, thus making it suitable as a direct primary key for database applications, which rely on unique identifiers. GlycoCT encompasses the capabilities of the heterogeneous landscape of digital encoding schemata in glycomics and is thus a step forward on the way to a unified and broadly accepted sequence format in glycobioinformatics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics"],"domains":["Carbohydrate"],"taxonomies":["All"],"user_defined_tags":["glycobiology"],"countries":["Germany"],"publications":[{"id":253,"pubmed_id":18436199,"title":"GlycoCT-a unifying sequence format for carbohydrates","year":2008,"url":"http://doi.org/10.1016/j.carres.2008.03.011","authors":"Herget S, Ranzinger R, Maass K, Lieth CW.","journal":"Carbohydrate Research","doi":"10.1016/j.carres.2008.03.011","created_at":"2021-09-30T08:22:47.325Z","updated_at":"2021-09-30T08:22:47.325Z"}],"licence_links":[],"grants":[{"id":10402,"fairsharing_record_id":42,"organisation_id":3912,"relation":"maintains","created_at":"2023-03-13T15:52:12.804Z","updated_at":"2023-03-13T15:52:12.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":3912,"name":"NMR spectroscopy and CEST imaging, DKFZ","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"43","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:38:19.000Z","updated_at":"2023-06-02T15:12:13.520Z","metadata":{"doi":"10.25504/FAIRsharing.FrSPDi","name":"Artificial Nutrition Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/BL8/en/","citations":[],"identifier":43,"description":"This thesaurus is based on the vocabulary used in scientific publications for Artificial nutrition and neighbor fields. It contains more than 2500 concepts in two languages (English and French), including various variants (synonyms, acronyms) divided into a number of microthesauri where the terms are grouped around a theme or a semantic field.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001415","bsg-s001415"],"name":"FAIRsharing record for: Artificial Nutrition Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.FrSPDi","doi":"10.25504/FAIRsharing.FrSPDi","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This thesaurus is based on the vocabulary used in scientific publications for Artificial nutrition and neighbor fields. It contains more than 2500 concepts in two languages (English and French), including various variants (synonyms, acronyms) divided into a number of microthesauri where the terms are grouped around a theme or a semantic field.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11300}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Nutritional Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Artificial nutrition"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":195,"relation":"undefined"}],"grants":[{"id":4965,"fairsharing_record_id":43,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:09.393Z","updated_at":"2021-09-30T09:27:09.393Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":4964,"fairsharing_record_id":43,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:09.188Z","updated_at":"2021-09-30T09:27:09.188Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"44","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.000Z","metadata":{"doi":"10.25504/FAIRsharing.82t0w2","name":"Leukocyte Surface Markers","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1520","identifier":44,"description":"An ontology of CD markers for lymphocyte classification in the cell ontology, and other categories of surface and secreted proteins useful for discriminating between lymphocyte subsets by flow cytometry, ELISPOT, ELISA and other assays typically used for phenotypic identification of individual lymphocytes or lymphocyte populations have been included.","abbreviation":"LSM","year_creation":2008,"deprecation_date":"2016-05-06","deprecation_reason":"This ontology is no longer maintained and doesn't appear to be available for use."},"legacy_ids":["bsg-002676","bsg-s002676"],"name":"FAIRsharing record for: Leukocyte Surface Markers","abbreviation":"LSM","url":"https://fairsharing.org/10.25504/FAIRsharing.82t0w2","doi":"10.25504/FAIRsharing.82t0w2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of CD markers for lymphocyte classification in the cell ontology, and other categories of surface and secreted proteins useful for discriminating between lymphocyte subsets by flow cytometry, ELISPOT, ELISA and other assays typically used for phenotypic identification of individual lymphocytes or lymphocyte populations have been included.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"45","type":"fairsharing_records","attributes":{"created_at":"2015-01-08T23:53:22.000Z","updated_at":"2021-11-24T13:18:26.083Z","metadata":{"doi":"10.25504/FAIRsharing.jw7rq3","name":"Minimum Information for Reporting Next Generation Sequencing Genotyping","status":"ready","contacts":[{"contact_name":"Steven J. Mack","contact_email":"sjmack@chori.org","contact_orcid":"0000-0001-9820-9547"}],"homepage":"http://miring.immunogenomics.org","identifier":45,"description":"MIRING defines the minimum information needed to describe genotyping results for HLA and KIR genes generated using Next Generation Sequencing (NGS) methods, allowing reinterpretation in light of continuous developments in reference sequence and genomic alignment resources for these genes. MIRING further defines the elements of a message to be used to exchange genotyping results. Use of MIRING ensures the long-term portability and broad application of NGS genotyping data for histocompatibility, immunogenetic and immunogenomic applications.","abbreviation":"MIRING","support_links":[{"url":"http://miring.immunogenomics.org","type":"Help documentation"},{"url":"http://igdawg.org/pubs/MIRING_categories.pdf","type":"Help documentation"},{"url":"https://bioinformatics.bethematchclinical.org/HLA-Resources/HML/","type":"Help documentation"}],"year_creation":2014,"associated_tools":[{"url":"http://miring.b12x.org/index.html","name":"MIRING HML Validator Version 1.1.5"}]},"legacy_ids":["bsg-000578","bsg-s000578"],"name":"FAIRsharing record for: Minimum Information for Reporting Next Generation Sequencing Genotyping","abbreviation":"MIRING","url":"https://fairsharing.org/10.25504/FAIRsharing.jw7rq3","doi":"10.25504/FAIRsharing.jw7rq3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRING defines the minimum information needed to describe genotyping results for HLA and KIR genes generated using Next Generation Sequencing (NGS) methods, allowing reinterpretation in light of continuous developments in reference sequence and genomic alignment resources for these genes. MIRING further defines the elements of a message to be used to exchange genotyping results. Use of MIRING ensures the long-term portability and broad application of NGS genotyping data for histocompatibility, immunogenetic and immunogenomic applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Annotation","Next generation DNA sequencing","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1844,"pubmed_id":26407912,"title":"Minimum information for reporting next generation sequence genotyping (MIRING): Guidelines for reporting HLA and KIR genotyping via next generation sequencing.","year":2015,"url":"http://doi.org/10.1016/j.humimm.2015.09.011","authors":"Mack SJ,Milius RP,Gifford BD,Sauter J,Hofmann J,Osoegawa K,Robinson J,Groeneweg M,Turenchalk GS,Adai A,Holcomb C,Rozemuller EH,Penning MT,Heuer ML,Wang C,Salit ML,Schmidt AH,Parham PR,Muller C,Hague T,Fischer G,Fernandez-Vina M,Hollenbach JA,Norman PJ,Maiers M","journal":"Hum Immunol","doi":"10.1016/j.humimm.2015.09.011","created_at":"2021-09-30T08:25:47.089Z","updated_at":"2021-09-30T08:25:47.089Z"},{"id":1852,"pubmed_id":26319908,"title":"Histoimmunogenetics Markup Language 1.0: Reporting next generation sequencing-based HLA and KIR genotyping","year":2015,"url":"http://doi.org/10.1016/j.humimm.2015.08.001","authors":"Milius RP, Heuer M, Valiga D, Doroschak KJ, Kennedy CJ, Bolon YT, Schneider J, Pollack J, Kim HR, Cereb N, Hollenbach JA, Mack SJ, Maiers M","journal":"Human Immunology","doi":"10.1016/j.humimm.2015.08.001","created_at":"2021-09-30T08:25:48.072Z","updated_at":"2021-09-30T08:25:48.072Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":110,"relation":"undefined"}],"grants":[{"id":4969,"fairsharing_record_id":45,"organisation_id":2229,"relation":"funds","created_at":"2021-09-30T09:27:09.546Z","updated_at":"2021-09-30T09:30:05.930Z","grant_id":550,"is_lead":false,"saved_state":{"id":2229,"name":"Office of Naval Research (ONR), Arlington, VA, USA","grant":"N00014-08-1-1207","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4966,"fairsharing_record_id":45,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:09.430Z","updated_at":"2021-09-30T09:27:09.430Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4970,"fairsharing_record_id":45,"organisation_id":1317,"relation":"maintains","created_at":"2021-09-30T09:27:09.592Z","updated_at":"2021-09-30T09:27:09.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1317,"name":"Immunogenomic Next Generation Sequencing Data Consortium, Oakland, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4968,"fairsharing_record_id":45,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:09.508Z","updated_at":"2021-09-30T09:30:19.135Z","grant_id":654,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI128775","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4967,"fairsharing_record_id":45,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:09.467Z","updated_at":"2021-09-30T09:30:36.541Z","grant_id":788,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U01AI090905","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8289,"fairsharing_record_id":45,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:55.482Z","updated_at":"2021-09-30T09:31:55.527Z","grant_id":1389,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U01AI067068","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8392,"fairsharing_record_id":45,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:25.668Z","updated_at":"2021-09-30T09:32:25.718Z","grant_id":1615,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01GM109030","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"11","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-06T13:35:48.758Z","metadata":{"doi":"10.25504/FAIRsharing.8jns8","name":"e-Mouse Atlas Project Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"emap@emouseatlas.org"}],"homepage":"http://www.emouseatlas.org/emap/ema/home.php","citations":[],"identifier":11,"description":"A structured controlled vocabulary of stage-specific anatomical structures of the mouse used within the e-Mouse Atlas Project.","abbreviation":"EMAP","support_links":[{"url":"http://www.emouseatlas.org/emap/help/faqs.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.emouseatlas.org/emap/community/communityindex.html","type":"Forum"},{"url":"http://www.emouseatlas.org/emap/ema/theiler_stages/StageDefinition/stagedefinition.html","name":"Stage definition","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emap/ema/staging_criteria/staging_criteria.html","name":"Stage criteria","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emap/ema/theiler_stages/movies/ts_movies.html","name":"Movies","type":"Help documentation"}],"year_creation":1991,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EMAP","name":"EMAP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/emap.html","name":"emap","portal":"OBO Foundry"}],"deprecation_date":"2023-09-06","deprecation_reason":"The resource homepage is no longer accessible, and a new homepage cannot be found. Please get in touch with us if you have any questions."},"legacy_ids":["bsg-000027","bsg-s000027"],"name":"FAIRsharing record for: e-Mouse Atlas Project Anatomy Ontology","abbreviation":"EMAP","url":"https://fairsharing.org/10.25504/FAIRsharing.8jns8","doi":"10.25504/FAIRsharing.8jns8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of stage-specific anatomical structures of the mouse used within the e-Mouse Atlas Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Morphology","Life cycle stage"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1108,"pubmed_id":24265223,"title":"EMAGE mouse embryo spatial gene expression database: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1155","authors":"Richardson L,Venkataraman S,Stevenson P,Yang Y,Moss J,Graham L,Burton N,Hill B,Rao J,Baldock RA,Armit C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1155","created_at":"2021-09-30T08:24:22.755Z","updated_at":"2021-09-30T11:28:58.918Z"},{"id":2652,"pubmed_id":26208972,"title":"Mouse anatomy ontologies: enhancements and tools for exploring and integrating biomedical data.","year":2015,"url":"http://doi.org/10.1007/s00335-015-9584-9","authors":"Hayamizu TF,Baldock RA,Ringwald M","journal":"Mamm Genome","doi":"10.1007/s00335-015-9584-9","created_at":"2021-09-30T08:27:25.679Z","updated_at":"2021-09-30T08:27:25.679Z"},{"id":2653,"pubmed_id":23972281,"title":"EMAP/EMAPA ontology of mouse developmental anatomy: 2013 update.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-15","authors":"Hayamizu TF,Wicks MN,Davidson DR,Burger A,Ringwald M,Baldock RA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-15","created_at":"2021-09-30T08:27:25.797Z","updated_at":"2021-09-30T08:27:25.797Z"},{"id":2654,"pubmed_id":14734318,"title":"Formalization of mouse embryo anatomy.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/btg400","authors":"Burger A,Davidson D,Baldock R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btg400","created_at":"2021-09-30T08:27:25.913Z","updated_at":"2021-09-30T08:27:25.913Z"},{"id":2655,"pubmed_id":9651497,"title":"An internet-accessible database of mouse developmental anatomy based on a systematic nomenclature.","year":1998,"url":"http://doi.org/10.1016/s0925-4773(98)00069-0","authors":"Bard JL,Kaufman MH,Dubreuil C,Brune RM,Burger A,Baldock RA,Davidson DR","journal":"Mech Dev","doi":"10.1016/s0925-4773(98)00069-0","created_at":"2021-09-30T08:27:26.029Z","updated_at":"2021-09-30T08:27:26.029Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1402,"relation":"undefined"}],"grants":[{"id":4896,"fairsharing_record_id":11,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:27:06.701Z","updated_at":"2021-09-30T09:31:08.687Z","grant_id":1037,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"HD062499","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":4897,"fairsharing_record_id":11,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:06.737Z","updated_at":"2021-09-30T09:32:36.362Z","grant_id":1696,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"U.1275.2.4.4.1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9154,"fairsharing_record_id":11,"organisation_id":2015,"relation":"funds","created_at":"2022-04-11T12:07:18.049Z","updated_at":"2022-04-11T12:07:18.066Z","grant_id":272,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK092983","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"12","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:25.425Z","metadata":{"doi":"10.25504/FAIRsharing.24yjfc","name":"Habronattus Courtship Ontology","status":"deprecated","contacts":[{"contact_email":"peteremidford@yahoo.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1020","identifier":12,"description":"A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for courtship behavior of the spider Habronattus californicus.","abbreviation":"HC","deprecation_date":"2016-03-10","deprecation_reason":"This ontology is no longer maintained and doesn't appear to be available for use."},"legacy_ids":["bsg-002602","bsg-s002602"],"name":"FAIRsharing record for: Habronattus Courtship Ontology","abbreviation":"HC","url":"https://fairsharing.org/10.25504/FAIRsharing.24yjfc","doi":"10.25504/FAIRsharing.24yjfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for courtship behavior of the spider Habronattus californicus.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Behavior"],"taxonomies":["Habronattus californicus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"13","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-28T10:00:33.761Z","metadata":{"doi":"10.25504/FAIRsharing.pdwqcr","name":"Mouse Adult Gross Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Terry Hayamizu","contact_email":"Terry.Hayamizu@jax.org"}],"homepage":"http://www.informatics.jax.org/vocab/gxd/ma_ontology/","citations":[],"identifier":13,"description":"The Anatomy Ontology for the Adult Mouse is organized spatially and functionally, using \"is a\" and \"part of\" relationships to describe the anatomy of the postnatal mouse. Anatomical terms are arranged as a hierarchy from body region or organ system to tissue substructure. Modeling the anatomy hierarchically makes it possible to record expression results from assays with differing spatial resolution in a consistent and integrated manner. Organizing the anatomical terms as a Directed Acyclic Graph (DAG), i.e., in which a term can have more than one parent, allows presentation of the anatomy from multiple perspectives. In various locations, this ontology is also referred to as: 'Mouse Adult Gross Anatomy ontology', 'Adult Mouse Anatomy', 'Mouse Anatomy' or 'Mouse anatomical entity'. ","abbreviation":"MA","support_links":[{"url":"MAontology@jax.org","name":"General enquiries","type":"Support email"},{"url":"www.informatics.jax.org/userhelp/VOCAB_amad_browser_help.shtml","name":"About the Ontology","type":"Help documentation"},{"url":"https://github.com/obophenotype/mouse-anatomy-ontology","name":"GitHub Project","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MA","name":"MA in BioPortal","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ma.html","name":"MA in the OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000028","bsg-s000028"],"name":"FAIRsharing record for: Mouse Adult Gross Anatomy Ontology","abbreviation":"MA","url":"https://fairsharing.org/10.25504/FAIRsharing.pdwqcr","doi":"10.25504/FAIRsharing.pdwqcr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Anatomy Ontology for the Adult Mouse is organized spatially and functionally, using \"is a\" and \"part of\" relationships to describe the anatomy of the postnatal mouse. Anatomical terms are arranged as a hierarchy from body region or organ system to tissue substructure. Modeling the anatomy hierarchically makes it possible to record expression results from assays with differing spatial resolution in a consistent and integrated manner. Organizing the anatomical terms as a Directed Acyclic Graph (DAG), i.e., in which a term can have more than one parent, allows presentation of the anatomy from multiple perspectives. In various locations, this ontology is also referred to as: 'Mouse Adult Gross Anatomy ontology', 'Adult Mouse Anatomy', 'Mouse Anatomy' or 'Mouse anatomical entity'. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":["Organ","Tissue"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1285,"pubmed_id":15774030,"title":"The Adult Mouse Anatomical Dictionary: a tool for annotating and integrating data.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-3-r29","authors":"Hayamizu TF,Mangan M,Corradi JP,Kadin JA,Ringwald M","journal":"Genome Biol","doi":"10.1186/gb-2005-6-3-r29","created_at":"2021-09-30T08:24:43.433Z","updated_at":"2021-09-30T08:24:43.433Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2734,"relation":"applies_to_content"}],"grants":[{"id":4900,"fairsharing_record_id":13,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:27:06.855Z","updated_at":"2022-07-19T10:45:41.184Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":4901,"fairsharing_record_id":13,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:06.923Z","updated_at":"2021-09-30T09:31:32.742Z","grant_id":1218,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HD33745","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"14","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:45:12.112Z","metadata":{"doi":"10.25504/FAIRsharing.r1rjvx","name":"Process and Observation Ontology","status":"ready","contacts":[{"contact_name":"Stéphane Dervaux","contact_email":"stephane.dervaux@versailles.inra.fr"}],"homepage":"http://dx.doi.org/10.15454/1.4702114192525708E12","identifier":14,"description":"A core ontology for modeling transformation processes and their observations. PO2 is part of an interdisciplinary project called Delicious concerning the production and transformation processes in food science. The project combines data from different disciplines like food composition, food structure, sensorial perception and nutrition.","abbreviation":"PO2","year_creation":2016},"legacy_ids":["bsg-001102","bsg-s001102"],"name":"FAIRsharing record for: Process and Observation Ontology","abbreviation":"PO2","url":"https://fairsharing.org/10.25504/FAIRsharing.r1rjvx","doi":"10.25504/FAIRsharing.r1rjvx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A core ontology for modeling transformation processes and their observations. PO2 is part of an interdisciplinary project called Delicious concerning the production and transformation processes in food science. The project combines data from different disciplines like food composition, food structure, sensorial perception and nutrition.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Life Science"],"domains":["Food","Sense of smell","Sense of taste"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1839,"pubmed_id":null,"title":"PO2 - A Process and Observation Ontology in Food Science. Application to Dairy Gels","year":2016,"url":"http://doi.org/10.1007/978-3-319-49157-8_13","authors":"Ibanescu L., Dibie J., Dervaux S., Guichard E., Raad J.","journal":"In: Garoufallou E., Subirats Coll I., Stellato A., Greenberg J. (eds) Metadata and Semantics Research. MTSR 2016. Communications in Computer and Information Science, vol 672.","doi":"10.1007/978-3-319-49157-8_13","created_at":"2021-09-30T08:25:46.547Z","updated_at":"2021-09-30T08:25:46.547Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":962,"relation":"undefined"}],"grants":[{"id":4902,"fairsharing_record_id":14,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:06.964Z","updated_at":"2021-09-30T09:27:06.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"29","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:43:39.906Z","metadata":{"doi":"10.25504/FAIRsharing.p52pzj","name":"Drosophila developmental ontology","status":"ready","contacts":[{"contact_name":"Clare Pilgrim","contact_email":"cp390@cam.ac.uk","contact_orcid":"0000-0002-1373-1705"}],"homepage":"http://flybase.org/vocabularies","citations":[],"identifier":29,"description":"An ontology of the developmental stages of Drosophila melanogaster. It provides a controlled vocabulary for use in annotation and classification of data related to Drosophila, such as gene expression, phenotypes and images.","abbreviation":"FBdv","support_links":[{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology/issues","type":"Github"},{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology","type":"Github"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FB-DV","name":"FB-DV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fbdv.html","name":"FBdv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000055","bsg-s000055"],"name":"FAIRsharing record for: Drosophila developmental ontology","abbreviation":"FBdv","url":"https://fairsharing.org/10.25504/FAIRsharing.p52pzj","doi":"10.25504/FAIRsharing.p52pzj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of the developmental stages of Drosophila melanogaster. It provides a controlled vocabulary for use in annotation and classification of data related to Drosophila, such as gene expression, phenotypes and images.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3670,"relation":"applies_to_content"}],"grants":[{"id":4934,"fairsharing_record_id":29,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:08.048Z","updated_at":"2021-09-30T09:27:08.048Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11846,"fairsharing_record_id":29,"organisation_id":4424,"relation":"maintains","created_at":"2024-06-26T13:03:58.350Z","updated_at":"2024-06-27T09:29:32.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":4424,"name":"Department of Physiology, Development and Neuroscience","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"30","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-21T11:23:31.939Z","metadata":{"doi":"10.25504/FAIRsharing.n66krd","name":"Neural ElectroMagnetic Ontologies","status":"deprecated","contacts":[{"contact_name":"NEMO administrators","contact_email":"ahoyleo@cs.uoregon.edu"}],"homepage":"http://aimlab.cs.uoregon.edu/NEMO/web/index.html","citations":[],"identifier":30,"description":"Neural ElectroMagnetic Ontology (NEMO) describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive/behavioral) attributes, and data-level attributes (acquisition and analysis parameters). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","abbreviation":"NEMO","support_links":[{"url":"dou@cs.uoregon.edu","name":"NEMO Project Contact Person","type":"Support email"}],"year_creation":2008,"associated_tools":[{"url":"https://sourceforge.net/p/nemoontologies/code/HEAD/tree/toolkit/release/","name":"NEMO Toolkit"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NEMO","name":"BioPortal:NEMO","portal":"BioPortal"}],"deprecation_date":"2022-01-19","deprecation_reason":"The ontology haven't been updated in years. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000059","bsg-s000059"],"name":"FAIRsharing record for: Neural ElectroMagnetic Ontologies","abbreviation":"NEMO","url":"https://fairsharing.org/10.25504/FAIRsharing.n66krd","doi":"10.25504/FAIRsharing.n66krd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Neural ElectroMagnetic Ontology (NEMO) describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive/behavioral) attributes, and data-level attributes (acquisition and analysis parameters). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Cognitive Neuroscience","Life Science"],"domains":["Neuron","Imaging","Cognition","Electroencephalography","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Interoperability"],"countries":["United States"],"publications":[{"id":1250,"pubmed_id":22180824,"title":"Minimal Information for Neural Electromagnetic Ontologies (MINEMO): A standards-compliant method for analysis and integration of event-related potentials (ERP) data.","year":2011,"url":"http://doi.org/10.4056/sigs.2025347","authors":"Frishkoff G,Sydes J,Mueller K,Frank R,Curran T,Connolly J,Kilborn K,Molfese D,Perfetti C,Malony A","journal":"Stand Genomic Sci","doi":"10.4056/sigs.2025347","created_at":"2021-09-30T08:24:39.433Z","updated_at":"2021-09-30T08:24:39.433Z"},{"id":1860,"pubmed_id":null,"title":"Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials","year":2009,"url":"http://doi.org/10.1038/npre.2009.3458.1","authors":"Frishkoff, G., Le Pendu, P., Frank, R., Liu, H., \u0026 Dou, D.","journal":"Proceedings of the International Conference on Biomedical Ontologies (ICBO)","doi":"10.1038/npre.2009.3458.1","created_at":"2021-09-30T08:25:48.957Z","updated_at":"2021-09-30T08:25:48.957Z"}],"licence_links":[],"grants":[{"id":4936,"fairsharing_record_id":30,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:08.132Z","updated_at":"2021-09-30T09:29:57.004Z","grant_id":482,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01EB007684","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8741,"fairsharing_record_id":30,"organisation_id":3356,"relation":"maintains","created_at":"2022-01-21T11:20:34.644Z","updated_at":"2022-01-21T11:20:34.644Z","grant_id":null,"is_lead":true,"saved_state":{"id":3356,"name":"Aim lab","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"31","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:44:31.053Z","metadata":{"doi":"10.25504/FAIRsharing.zevp0z","name":"Systems Biology Results Markup Language","status":"ready","contacts":[{"contact_email":"pedro.mendes@manchester.ac.uk"}],"homepage":"http://www.comp-sys-bio.org/SBRML.html","identifier":31,"description":"Systems Biology Results markup language (SBRML) specifies models composed of molecular species, and their interactions (including reactions). The markup language is intended to specify results from operations carried out on models Ñ SBRML. This resource can be used to communicate experimental data as long as it is possible to express the data in terms of a reference SBML model. SBRML is a means of specifying quantitative results in the context of a systems biology model.","abbreviation":"SBRML","support_links":[{"url":"http://www.comp-sys-bio.org/static/SBRML-spec-level1-version1.pdf","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-000149","bsg-s000149"],"name":"FAIRsharing record for: Systems Biology Results Markup Language","abbreviation":"SBRML","url":"https://fairsharing.org/10.25504/FAIRsharing.zevp0z","doi":"10.25504/FAIRsharing.zevp0z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Systems Biology Results markup language (SBRML) specifies models composed of molecular species, and their interactions (including reactions). The markup language is intended to specify results from operations carried out on models Ñ SBRML. This resource can be used to communicate experimental data as long as it is possible to express the data in terms of a reference SBML model. SBRML is a means of specifying quantitative results in the context of a systems biology model.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11156},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16941}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Biology","Life Science","Systems Biology"],"domains":["Modeling and simulation","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":20,"pubmed_id":20176582,"title":"SBRML: a markup language for associating systems biology data with models.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq069","authors":"Dada JO,Spasic I,Paton NW,Mendes P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq069","created_at":"2021-09-30T08:22:22.555Z","updated_at":"2021-09-30T08:22:22.555Z"}],"licence_links":[{"licence_name":"Academic Free License (AFL)","licence_id":4,"licence_url":"https://opensource.org/licenses/AFL-3.0","link_id":1043,"relation":"undefined"}],"grants":[{"id":4937,"fairsharing_record_id":31,"organisation_id":1818,"relation":"maintains","created_at":"2021-09-30T09:27:08.173Z","updated_at":"2021-09-30T09:27:08.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":1818,"name":"Mendes Research Group, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":4938,"fairsharing_record_id":31,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:08.212Z","updated_at":"2021-09-30T09:29:14.753Z","grant_id":156,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/C008129/2","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"32","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:25.680Z","metadata":{"doi":"10.25504/FAIRsharing.20df5w","name":"ENCODE peak information Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format13","identifier":32,"description":"The ENCODE peak information Format is used to provide called regions of signal enrichment based on pooled, normalized (interpreted) data.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000227","bsg-s000227"],"name":"FAIRsharing record for: ENCODE peak information Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.20df5w","doi":"10.25504/FAIRsharing.20df5w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ENCODE peak information Format is used to provide called regions of signal enrichment based on pooled, normalized (interpreted) data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome","Regulatory region"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4939,"fairsharing_record_id":32,"organisation_id":3037,"relation":"undefined","created_at":"2021-09-30T09:27:08.249Z","updated_at":"2021-09-30T09:27:08.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":4940,"fairsharing_record_id":32,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:08.291Z","updated_at":"2021-09-30T09:27:08.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"33","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:57:33.129Z","metadata":{"doi":"10.25504/FAIRsharing.ny3z9j","name":"Biological Imaging methods Ontology","status":"ready","contacts":[{"contact_name":"Chris Woodcock","contact_email":"chris@bio.umass.edu"}],"homepage":"http://flybase.org/vocabularies","identifier":33,"description":"A structured controlled vocabulary of sample preparation, visualization and imaging methods used in biomedical research.","abbreviation":"FBbi","support_links":[{"url":"http://flybase.org/contact/email","name":"General contact","type":"Contact form"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FBbi","name":"FBbi","portal":"BioPortal"}]},"legacy_ids":["bsg-000072","bsg-s000072"],"name":"FAIRsharing record for: Biological Imaging methods Ontology","abbreviation":"FBbi","url":"https://fairsharing.org/10.25504/FAIRsharing.ny3z9j","doi":"10.25504/FAIRsharing.ny3z9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of sample preparation, visualization and imaging methods used in biomedical research.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16143}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Imaging","Image","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":4942,"fairsharing_record_id":33,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:27:08.365Z","updated_at":"2021-09-30T09:27:08.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"34","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:45:12.388Z","metadata":{"doi":"10.25504/FAIRsharing.fw8k2k","name":"Thesaurus for Animal Physiology and Livestock Systems","status":"deprecated","contacts":[{"contact_name":"Agnes Girard","contact_email":"agnes.girard@rennes.inra.fr"}],"homepage":"http://agroportal.lirmm.fr/ontologies/TRIPHASE","citations":[],"identifier":34,"description":"TriPhase is a large thesaurus in the domain of animal physiology and livestock designed by INRA. This resource has been marked as Uncertain as we cannot find a homepage, publication or other documentation for it. Please contact us if you have any information regarding this resource.","abbreviation":"TRIPHASE","support_links":[{"url":"claire.nedellec@jouy.inra.fr","name":"Claire Nedellec","type":"Support email"}],"year_creation":2015,"deprecation_date":"2022-03-24","deprecation_reason":"This ontology is obsolete and inactive. "},"legacy_ids":["bsg-001116","bsg-s001116"],"name":"FAIRsharing record for: Thesaurus for Animal Physiology and Livestock Systems","abbreviation":"TRIPHASE","url":"https://fairsharing.org/10.25504/FAIRsharing.fw8k2k","doi":"10.25504/FAIRsharing.fw8k2k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TriPhase is a large thesaurus in the domain of animal physiology and livestock designed by INRA. This resource has been marked as Uncertain as we cannot find a homepage, publication or other documentation for it. Please contact us if you have any information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Physiology","Animal Husbandry","Life Science"],"domains":[],"taxonomies":["Animalia"],"user_defined_tags":["Livestock"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1841,"relation":"undefined"}],"grants":[{"id":4943,"fairsharing_record_id":34,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:08.433Z","updated_at":"2021-09-30T09:27:08.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"35","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-01T10:00:52.112Z","metadata":{"doi":"10.25504/FAIRsharing.sm90nh","name":"C. elegans development","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"wchen@its.caltech.edu"}],"homepage":"https://www.wormbase.org/tools/ontology_browser","citations":[],"identifier":35,"description":"A structured controlled vocabulary of the development of Caenorhabditis elegans. This resource is also referred to as the Life Stage ontology on the wormbase database.","abbreviation":"WBLS","support_links":[{"url":"https://github.com/obophenotype/c-elegans-development-ontology","name":"GitHub","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WB-LS","name":"WB-LS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/wbls.html","name":"wbls","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000057","bsg-s000057"],"name":"FAIRsharing record for: C. elegans development","abbreviation":"WBLS","url":"https://fairsharing.org/10.25504/FAIRsharing.sm90nh","doi":"10.25504/FAIRsharing.sm90nh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the development of Caenorhabditis elegans. This resource is also referred to as the Life Stage ontology on the wormbase database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4945,"fairsharing_record_id":35,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:08.516Z","updated_at":"2021-09-30T09:27:08.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4944,"fairsharing_record_id":35,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:27:08.474Z","updated_at":"2021-09-30T09:27:08.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"28","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:43:43.623Z","metadata":{"doi":"10.25504/FAIRsharing.y2qkst","name":"Drosophila anatomy ontology","status":"ready","contacts":[{"contact_name":"Clare Pilgrim","contact_email":"cp390@cam.ac.uk","contact_orcid":"0000-0002-1373-1705"}],"homepage":"http://flybase.org/vocabularies","citations":[],"identifier":28,"description":"An ontology of the anatomy of Drosophila melanogaster. It can be used for annotation and classification of data related to Drosophila anatomy, such as gene expression, phenotype and images. It was originally developed by FlyBase, who continue to maintain it and use it for curation.","abbreviation":"FBbt","support_links":[{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology/issues","type":"Github"},{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology","type":"Github"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FB-BT","name":"FB-BT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fbbt.html","name":"FBbt","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000010","bsg-s000010"],"name":"FAIRsharing record for: Drosophila anatomy ontology","abbreviation":"FBbt","url":"https://fairsharing.org/10.25504/FAIRsharing.y2qkst","doi":"10.25504/FAIRsharing.y2qkst","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of the anatomy of Drosophila melanogaster. It can be used for annotation and classification of data related to Drosophila anatomy, such as gene expression, phenotype and images. It was originally developed by FlyBase, who continue to maintain it and use it for curation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Gene expression","Image","Phenotype","Life cycle stage"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":878,"pubmed_id":16381917,"title":"FlyBase: anatomical data, images and queries.","year":2005,"url":"http://doi.org/10.1093/nar/gkj068","authors":"Grumbling G,Strelets V","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj068","created_at":"2021-09-30T08:23:56.919Z","updated_at":"2021-09-30T11:28:54.635Z"},{"id":1847,"pubmed_id":24139062,"title":"The Drosophila anatomy ontology","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-32","authors":"Costa M., Reeve S., Grumbling G., Osumi-Sutherland D.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-4-32","created_at":"2021-09-30T08:25:47.473Z","updated_at":"2021-09-30T08:25:47.473Z"},{"id":1856,"pubmed_id":22402613,"title":"A strategy for building neuro-anatomy ontologies","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts113","authors":"Osumi-Sutherland D., Reeve S., Mungall C., Ruttenberg A. Neuhaus F, Jefferis G.S.X.E, Armstrong J.D.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts113","created_at":"2021-09-30T08:25:48.506Z","updated_at":"2021-09-30T08:25:48.506Z"},{"id":1858,"pubmed_id":22180411,"title":"The Virtual Fly Brain Browser and Query Interface","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr677","authors":"Milyaev N., Osumi-Sutherland D., Reeve S., Burton N., Baldock R.A., Armstrong J.D.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr677","created_at":"2021-09-30T08:25:48.723Z","updated_at":"2021-09-30T08:25:48.723Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3669,"relation":"applies_to_content"}],"grants":[{"id":4929,"fairsharing_record_id":28,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:07.848Z","updated_at":"2021-09-30T09:27:07.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"Wellcome","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":4926,"fairsharing_record_id":28,"organisation_id":3191,"relation":"maintains","created_at":"2021-09-30T09:27:07.737Z","updated_at":"2021-09-30T09:27:07.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":3191,"name":"Virtual Fly Brain","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4931,"fairsharing_record_id":28,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:07.932Z","updated_at":"2021-09-30T09:27:07.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4928,"fairsharing_record_id":28,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:07.801Z","updated_at":"2021-09-30T09:29:02.793Z","grant_id":70,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/G02233X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11845,"fairsharing_record_id":28,"organisation_id":4424,"relation":"maintains","created_at":"2024-06-26T13:02:28.711Z","updated_at":"2024-06-27T09:28:21.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":4424,"name":"Department of Physiology, Development and Neuroscience","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"36","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-18T14:39:36.815Z","metadata":{"doi":"10.25504/FAIRsharing.3gxr9b","name":"Simple Omnibus Format in Text","status":"ready","contacts":[{"contact_name":"Tanya Barrett","contact_email":"barrett@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/geo/info/soft2.html","identifier":36,"description":"Using Simple Omnibus Format in Text (SOFT), researchers can readily upload and download data. The resource is text-based so can be compatible with simple spreadsheets and data applications. A SOFT file can simultaneously contain both tabulated data as well as descriptive information for a chain of related Platforms, Samples, and/or Series records.","abbreviation":"SOFT","support_links":[{"url":"http://www.ncbi.nlm.nih.gov/geo/info/soft2.html","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/geo/info/soft.html","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-000077","bsg-s000077"],"name":"FAIRsharing record for: Simple Omnibus Format in Text","abbreviation":"SOFT","url":"https://fairsharing.org/10.25504/FAIRsharing.3gxr9b","doi":"10.25504/FAIRsharing.3gxr9b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Using Simple Omnibus Format in Text (SOFT), researchers can readily upload and download data. The resource is text-based so can be compatible with simple spreadsheets and data applications. A SOFT file can simultaneously contain both tabulated data as well as descriptive information for a chain of related Platforms, Samples, and/or Series records.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12402}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science"],"domains":["Assay","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":430,"pubmed_id":11752295,"title":"Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.207","authors":"Edgar R., Domrachev M., Lash AE.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.207","created_at":"2021-09-30T08:23:06.766Z","updated_at":"2021-09-30T08:23:06.766Z"},{"id":1002,"pubmed_id":15608262,"title":"NCBI GEO: mining millions of expression profiles--database and tools.","year":2004,"url":"http://doi.org/10.1093/nar/gki022","authors":"Barrett T,Suzek TO,Troup DB,Wilhite SE,Ngau WC,Ledoux P,Rudnev D,Lash AE,Fujibuchi W,Edgar R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki022","created_at":"2021-09-30T08:24:10.902Z","updated_at":"2021-09-30T11:28:56.625Z"},{"id":1416,"pubmed_id":17099226,"title":"NCBI GEO: mining tens of millions of expression profiles--database and tools update.","year":2006,"url":"http://doi.org/10.1093/nar/gkl887","authors":"Barrett T,Troup DB,Wilhite SE,Ledoux P,Rudnev D,Evangelista C,Kim IF,Soboleva A,Tomashevsky M,Edgar R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl887","created_at":"2021-09-30T08:24:58.232Z","updated_at":"2021-09-30T11:29:08.243Z"}],"licence_links":[],"grants":[{"id":4946,"fairsharing_record_id":36,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:08.567Z","updated_at":"2022-01-18T14:35:30.443Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"37","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-16T19:03:52.354Z","metadata":{"doi":"10.25504/FAIRsharing.jkt8ye","name":"i2b2-patient_visit_dimensions","status":"ready","contacts":[],"homepage":"https://www.i2b2.org","citations":[],"identifier":37,"description":"This database is a tool for describing patient information and facts such as patient health history, diagnosis, medication etc...This is supported by the i2b2 software. Datasets are gathered from a variety of sources. The i2b2 team merged with the TranSMART Foundation in 2017.","abbreviation":"i2b2-patvisdims","support_links":[{"url":"https://community.i2b2.org/wiki/display/IWG/Ontology+Basics?preview=/337069/337134/Ontology%20basics.ppt","name":"Presentation","type":"Help documentation"},{"url":"https://community.i2b2.org/wiki/pages/viewpage.action?pageId=342684","name":"i2b2 Community Wiki","type":"Wikipedia"}],"year_creation":2005},"legacy_ids":["bsg-002815","bsg-s002815"],"name":"FAIRsharing record for: i2b2-patient_visit_dimensions","abbreviation":"i2b2-patvisdims","url":"https://fairsharing.org/10.25504/FAIRsharing.jkt8ye","doi":"10.25504/FAIRsharing.jkt8ye","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is a tool for describing patient information and facts such as patient health history, diagnosis, medication etc...This is supported by the i2b2 software. Datasets are gathered from a variety of sources. The i2b2 team merged with the TranSMART Foundation in 2017.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4948,"fairsharing_record_id":37,"organisation_id":1296,"relation":"maintains","created_at":"2021-09-30T09:27:08.643Z","updated_at":"2021-09-30T09:27:08.643Z","grant_id":null,"is_lead":false,"saved_state":{"id":1296,"name":"I2b2 Transmart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":4949,"fairsharing_record_id":37,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:27:08.674Z","updated_at":"2021-09-30T09:27:08.674Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4950,"fairsharing_record_id":37,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:08.712Z","updated_at":"2021-09-30T09:27:08.712Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"38","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:15:40.156Z","metadata":{"doi":"10.25504/FAIRsharing.cfcd4r","name":"Neurophysiology Data Translation Format","status":"ready","homepage":"https://www.frontiersin.org/10.3389/conf.fnins.2010.13.00118/event_abstract","identifier":38,"description":"The purpose of the Neurophysiology Data Translation Format (NDF) is to provide a means of sharing neurophysiology experimental data and derived data between services and tools developed within the CARMEN project. This document specifies the NDF. The specification supports the types of data that are currently used by members of the CARMEN consortium and provides a capability to support future data types. It is capable of accommodating external data file formats as well as metadata such as user defined experimental descriptions and the history (provenance) of derived data.","abbreviation":"NDF","year_creation":2010},"legacy_ids":["bsg-000081","bsg-s000081"],"name":"FAIRsharing record for: Neurophysiology Data Translation Format","abbreviation":"NDF","url":"https://fairsharing.org/10.25504/FAIRsharing.cfcd4r","doi":"10.25504/FAIRsharing.cfcd4r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of the Neurophysiology Data Translation Format (NDF) is to provide a means of sharing neurophysiology experimental data and derived data between services and tools developed within the CARMEN project. This document specifies the NDF. The specification supports the types of data that are currently used by members of the CARMEN consortium and provides a capability to support future data types. It is capable of accommodating external data file formats as well as metadata such as user defined experimental descriptions and the history (provenance) of derived data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurophysiology","Life Science"],"domains":["Neuron","Assay"],"taxonomies":[],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":4951,"fairsharing_record_id":38,"organisation_id":3154,"relation":"maintains","created_at":"2021-09-30T09:27:08.745Z","updated_at":"2021-09-30T09:27:08.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4952,"fairsharing_record_id":38,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:08.778Z","updated_at":"2021-09-30T09:32:01.169Z","grant_id":1430,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/E002331/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4953,"fairsharing_record_id":38,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:08.802Z","updated_at":"2021-09-30T09:29:23.957Z","grant_id":231,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000984/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"39","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-21T11:29:38.372Z","metadata":{"doi":"10.25504/FAIRsharing.gp3r4n","name":"Preferred Reporting Items for Systematic reviews and Meta-Analyses","status":"ready","contacts":[{"contact_name":"general contact","contact_email":"prisma@ohri.ca"}],"homepage":"http://www.prisma-statement.org/","citations":[],"identifier":39,"description":"PRISMA is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses.The aim of the PRISMA Statement is to help authors improve the reporting of systematic reviews and meta-analyses. This resource focuses on randomized trials, but can also be used as a basis for reporting systematic reviews of other types of research, particularly evaluations of interventions.","abbreviation":"PRISMA","support_links":[{"url":"http://www.prisma-statement.org/News","name":"News","type":"Blog/News"},{"url":"http://www.prisma-statement.org/PRISMAStatement/Checklist","name":"Checklists","type":"Help documentation"},{"url":"https://twitter.com/PRISMAStatement","type":"Twitter"}],"year_creation":2009},"legacy_ids":["bsg-000065","bsg-s000065"],"name":"FAIRsharing record for: Preferred Reporting Items for Systematic reviews and Meta-Analyses","abbreviation":"PRISMA","url":"https://fairsharing.org/10.25504/FAIRsharing.gp3r4n","doi":"10.25504/FAIRsharing.gp3r4n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRISMA is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses.The aim of the PRISMA Statement is to help authors improve the reporting of systematic reviews and meta-analyses. This resource focuses on randomized trials, but can also be used as a basis for reporting systematic reviews of other types of research, particularly evaluations of interventions.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11930},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12396},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16931}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Systematic review","Data transformation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Italy","United Kingdom"],"publications":[{"id":1978,"pubmed_id":19621072,"title":"Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.","year":2009,"url":"http://doi.org/10.1371/journal.pmed.1000097","authors":"Moher D,Liberati A,Tetzlaff J,Altman DG","journal":"PLoS Med","doi":"10.1371/journal.pmed.1000097","created_at":"2021-09-30T08:26:02.573Z","updated_at":"2021-09-30T08:26:02.573Z"},{"id":4134,"pubmed_id":null,"title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1136/bmj.n71","authors":"Page, Matthew J; McKenzie, Joanne E; Bossuyt, Patrick M; Boutron, Isabelle; Hoffmann, Tammy C; Mulrow, Cynthia D; Shamseer, Larissa; Tetzlaff, Jennifer M; Akl, Elie A; Brennan, Sue E; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M; Hróbjartsson, Asbjørn; Lalu, Manoj M; Li, Tianjing; Loder, Elizabeth W; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A; Stewart, Lesley A; Thomas, James; Tricco, Andrea C; Welch, Vivian A; Whiting, Penny; Moher, David; ","journal":"BMJ","doi":"10.1136/bmj.n71","created_at":"2024-02-17T09:35:06.852Z","updated_at":"2024-02-17T09:35:06.852Z"},{"id":4135,"pubmed_id":null,"title":"The PRISMA 2020 statement: An updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1371/journal.pmed.1003583","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"PLoS Med","doi":"10.1371/journal.pmed.1003583","created_at":"2024-02-17T09:35:23.627Z","updated_at":"2024-02-17T09:35:23.627Z"},{"id":4136,"pubmed_id":null,"title":"The PRISMA 2020 statement: An updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1016/j.ijsu.2021.105906","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"International Journal of Surgery","doi":"10.1016/j.ijsu.2021.105906","created_at":"2024-02-17T09:35:40.038Z","updated_at":"2024-02-17T09:35:40.038Z"},{"id":4137,"pubmed_id":null,"title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1186/s13643-021-01626-4","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"Syst Rev","doi":"10.1186/s13643-021-01626-4","created_at":"2024-02-17T09:35:54.180Z","updated_at":"2024-02-17T09:35:54.180Z"},{"id":4138,"pubmed_id":null,"title":"The PRISMA 2020 statement: An updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1016/j.jclinepi.2021.03.001","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"Journal of Clinical Epidemiology","doi":"10.1016/j.jclinepi.2021.03.001","created_at":"2024-02-17T09:37:15.940Z","updated_at":"2024-02-17T09:37:15.940Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3504,"relation":"applies_to_content"}],"grants":[{"id":9070,"fairsharing_record_id":39,"organisation_id":3112,"relation":"maintains","created_at":"2022-03-30T10:05:33.063Z","updated_at":"2022-03-30T10:05:33.063Z","grant_id":null,"is_lead":true,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":4960,"fairsharing_record_id":39,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:27:09.035Z","updated_at":"2021-09-30T09:30:06.181Z","grant_id":552,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"COFIN - PRIN 2006 prot. 2006062298","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6327,"fairsharing_record_id":39,"organisation_id":1381,"relation":"maintains","created_at":"2021-09-30T09:27:56.669Z","updated_at":"2022-04-07T22:02:38.410Z","grant_id":null,"is_lead":true,"saved_state":{"id":1381,"name":"Institute for Genome Sciences, University of Maryland, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":4954,"fairsharing_record_id":39,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:27:08.832Z","updated_at":"2021-09-30T09:27:08.832Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4955,"fairsharing_record_id":39,"organisation_id":3099,"relation":"funds","created_at":"2021-09-30T09:27:08.874Z","updated_at":"2021-09-30T09:27:08.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":3099,"name":"University of Modena and Emilia-romagna","types":["University"],"is_lead":false,"relation":"funds"}},{"id":4958,"fairsharing_record_id":39,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:27:08.986Z","updated_at":"2021-09-30T09:27:08.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11397,"fairsharing_record_id":39,"organisation_id":2280,"relation":"maintains","created_at":"2024-02-20T11:26:17.904Z","updated_at":"2024-02-20T11:26:17.904Z","grant_id":null,"is_lead":true,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6328,"fairsharing_record_id":39,"organisation_id":2184,"relation":"funds","created_at":"2021-09-30T09:27:56.711Z","updated_at":"2022-04-07T22:02:38.476Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6330,"fairsharing_record_id":39,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:56.782Z","updated_at":"2022-04-07T22:02:38.659Z","grant_id":37,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54-HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9067,"fairsharing_record_id":39,"organisation_id":544,"relation":"funds","created_at":"2022-03-30T07:55:19.341Z","updated_at":"2022-03-30T07:55:19.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":544,"name":"Cochrane, London, United Kingdom","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8083,"fairsharing_record_id":39,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:30:50.062Z","updated_at":"2021-09-30T09:30:50.114Z","grant_id":893,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"COFIN - PRIN 2002 prot. 2002061749","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9069,"fairsharing_record_id":39,"organisation_id":1892,"relation":"maintains","created_at":"2022-03-30T10:05:33.034Z","updated_at":"2022-03-30T10:05:33.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":1892,"name":"Monash University, Melbourne, Australia","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7873,"fairsharing_record_id":39,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:18.299Z","updated_at":"2022-04-07T22:02:38.539Z","grant_id":187,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R24OD011883","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9264,"fairsharing_record_id":39,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.379Z","updated_at":"2022-04-11T12:07:26.395Z","grant_id":784,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"R01RR025342","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9265,"fairsharing_record_id":39,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.456Z","updated_at":"2022-04-11T12:07:26.471Z","grant_id":10,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"R01RR025341","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb2tEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--84bb3896258fdecb0010dc42333efe4bdefd681b/Screenshot%20from%202024-02-17%2009-38-06.png?disposition=inline","exhaustive_licences":true}},{"id":"40","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:32:26.790Z","metadata":{"doi":"10.25504/FAIRsharing.ge8y23","name":"Groundnut Ontology","status":"ready","contacts":[{"contact_name":"Trushar Shah","contact_email":"tm.shah@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_337:ROOT","citations":[],"identifier":40,"description":"The Groundnut Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_337","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001118","bsg-s001118"],"name":"FAIRsharing record for: Groundnut Ontology","abbreviation":"CO_337","url":"https://fairsharing.org/10.25504/FAIRsharing.ge8y23","doi":"10.25504/FAIRsharing.ge8y23","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Groundnut Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Arachis hypogaea"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1809,"relation":"undefined"}],"grants":[{"id":4962,"fairsharing_record_id":40,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:09.108Z","updated_at":"2021-09-30T09:27:09.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":4961,"fairsharing_record_id":40,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:27:09.065Z","updated_at":"2021-09-30T09:27:09.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"15","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:31.763Z","metadata":{"doi":"10.25504/FAIRsharing.dqnfkg","name":"Mosquito gross anatomy","status":"uncertain","contacts":[{"contact_name":"C. Louis","contact_email":"louis@imbb.forth.gr"}],"homepage":"https://www.vectorbase.org/ontology-browser","identifier":15,"description":"A structured controlled vocabulary of the anatomy of mosquitoes.","abbreviation":"TGMA","support_links":[{"url":"https://www.vectorbase.org/contact","name":"General contact","type":"Contact form"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TGMA","name":"TGMA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tgma.html","name":"tgma","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000026","bsg-s000026"],"name":"FAIRsharing record for: Mosquito gross anatomy","abbreviation":"TGMA","url":"https://fairsharing.org/10.25504/FAIRsharing.dqnfkg","doi":"10.25504/FAIRsharing.dqnfkg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy of mosquitoes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Culicidae"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":2331,"pubmed_id":18237287,"title":"Anatomical ontologies of mosquitoes and ticks, and their web browsers in VectorBase.","year":2008,"url":"http://doi.org/10.1111/j.1365-2583.2008.00781.x","authors":"Topalis P,Tzavlaki C,Vestaki K,Dialynas E,Sonenshine DE,Butler R,Bruggner RV,Stinson EO,Collins FH,Louis C","journal":"Insect Mol Biol","doi":"10.1111/j.1365-2583.2008.00781.x","created_at":"2021-09-30T08:26:46.202Z","updated_at":"2021-09-30T08:26:46.202Z"}],"licence_links":[],"grants":[{"id":4903,"fairsharing_record_id":15,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:07.005Z","updated_at":"2021-09-30T09:27:07.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"16","type":"fairsharing_records","attributes":{"created_at":"2016-02-03T11:35:53.000Z","updated_at":"2023-09-06T14:15:20.038Z","metadata":{"doi":"10.25504/FAIRsharing.6qrmz2","name":"Pharmacometrics Markup Language","status":"deprecated","contacts":[{"contact_name":"Maciej J Swat","contact_email":"maciej.swat@gmail.com","contact_orcid":"0000-0003-1721-9036"}],"homepage":"http://www.pharmml.org","citations":[],"identifier":16,"description":"PharmML is an exchange format for non-linear mixed effect models used in pharmacometrics and provides means to encode models, trial designs, and modelling steps. This standard allows for a smooth exchange of models between different software tools used in population pharmacokinetics/pharmacodynamics.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","abbreviation":"PharmML","support_links":[{"url":"pharmml.contact@gmail.com","name":"General Contact","type":"Support email"},{"url":"http://www.ddmore.eu/forum","name":"DDMoRe forum","type":"Forum"},{"url":"http://www.pharmml.org/documentation2","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/PharmML","name":"@PharmML","type":"Twitter"}],"year_creation":2011,"associated_tools":[{"url":"http://www.pharmml.org/version-0-1","name":"libPharmML 0.4"},{"url":"http://infix2pharmml.sourceforge.net/","name":"Infix notation to PharmML math online converter 0.7"},{"url":"http://simulx.webpopix.org/","name":"Simulx"},{"url":"http://repository.ddmore.eu/","name":"DDMoRe Model Repository"}],"deprecation_date":"2023-09-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000639","bsg-s000639"],"name":"FAIRsharing record for: Pharmacometrics Markup Language","abbreviation":"PharmML","url":"https://fairsharing.org/10.25504/FAIRsharing.6qrmz2","doi":"10.25504/FAIRsharing.6qrmz2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PharmML is an exchange format for non-linear mixed effect models used in pharmacometrics and provides means to encode models, trial designs, and modelling steps. This standard allows for a smooth exchange of models between different software tools used in population pharmacokinetics/pharmacodynamics.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11176},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11730},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11882},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12067},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12221},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16904}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Biomedical Science"],"domains":["Reaction data","Modeling and simulation"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":925,"pubmed_id":26225259,"title":"Pharmacometrics Markup Language (PharmML): Opening New Perspectives for Model Exchange in Drug Development","year":2015,"url":"http://doi.org/10.1002/psp4.57","authors":"Swat, M. J., Moodie, S., Wimalaratne, S. M. et al.","journal":"CPT: Pharmacometrics \u0026 Systems Pharmacology","doi":"10.1002/psp4.57","created_at":"2021-09-30T08:24:02.130Z","updated_at":"2021-09-30T08:24:02.130Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":247,"relation":"undefined"}],"grants":[{"id":4906,"fairsharing_record_id":16,"organisation_id":786,"relation":"maintains","created_at":"2021-09-30T09:27:07.126Z","updated_at":"2021-09-30T09:27:07.126Z","grant_id":null,"is_lead":false,"saved_state":{"id":786,"name":"Drug Disease Model Resource (DDMoRe), Sandwich, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":4904,"fairsharing_record_id":16,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:27:07.046Z","updated_at":"2021-09-30T09:31:17.733Z","grant_id":1106,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115156","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9251,"fairsharing_record_id":16,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.485Z","updated_at":"2022-04-11T12:07:25.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"17","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:18:18.767Z","metadata":{"doi":"10.25504/FAIRsharing.3mprr8","name":"XML for evolutionary biology and comparative genomics.","status":"ready","contacts":[{"contact_name":"Christian Zmasek","contact_email":"phyloxml@gmail.com","contact_orcid":"0000-0002-7933-2424"}],"homepage":"http://www.phyloxml.org/","citations":[],"identifier":17,"description":"PhyloXML is an XML language designed to describe phylogenetic trees (or networks) and associated data. PhyloXML provides elements for commonly used features, such as taxonomic information, gene names and identifiers, branch lengths, support values, and gene duplication and speciation events.","abbreviation":"phyloXML","support_links":[{"url":"https://groups.google.com/forum/?fromgroups#!forum/phyloxml","type":"Forum"},{"url":"http://www.phyloxml.org/documentation/version_1.20/phyloxml.html","type":"Help documentation"}],"associated_tools":[{"url":"https://github.com/cmzmasek/phyloxml-js","name":"JavaScript support"}]},"legacy_ids":["bsg-000289","bsg-s000289"],"name":"FAIRsharing record for: XML for evolutionary biology and comparative genomics.","abbreviation":"phyloXML","url":"https://fairsharing.org/10.25504/FAIRsharing.3mprr8","doi":"10.25504/FAIRsharing.3mprr8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhyloXML is an XML language designed to describe phylogenetic trees (or networks) and associated data. PhyloXML provides elements for commonly used features, such as taxonomic information, gene names and identifiers, branch lengths, support values, and gene duplication and speciation events.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12505}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Life Science","Comparative Genomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1718,"pubmed_id":19860910,"title":"phyloXML: XML for evolutionary biology and comparative genomics.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-356","authors":"Han MV,Zmasek CM","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-356","created_at":"2021-09-30T08:25:32.479Z","updated_at":"2021-09-30T08:25:32.479Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"70","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:21:48.186Z","metadata":{"doi":"10.25504/FAIRsharing.ve0710","name":"Molecular Interaction Tabular","status":"ready","contacts":[{"contact_name":"Samuel Kerrien","contact_email":"skerrien@ebi.ac.uk","contact_orcid":"0000-0002-3013-0469"}],"homepage":"http://psicquic.github.io/PSIMITAB.html","citations":[],"identifier":70,"description":"The Proteomic Standards Initiative Molecular Interactions (PSI-MI) data interchange format is a common tab-delimited (TAB) molecular interactions format (versions 2.5 - 2.8). Format developments, including the latest version release can be found at the homepage. ","abbreviation":"PSI-MI TAB","support_links":[{"url":"psi-mi@ebi.ac.uk","type":"Support email"},{"url":"http://www.psidev.info/node/60","type":"Help documentation"},{"url":"psidev-mi-dev@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2005,"associated_tools":[{"url":"http://www.psidev.info/index.php?q=node/60#tools","name":"Tools"}]},"legacy_ids":["bsg-000120","bsg-s000120"],"name":"FAIRsharing record for: Molecular Interaction Tabular","abbreviation":"PSI-MI TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.ve0710","doi":"10.25504/FAIRsharing.ve0710","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Proteomic Standards Initiative Molecular Interactions (PSI-MI) data interchange format is a common tab-delimited (TAB) molecular interactions format (versions 2.5 - 2.8). Format developments, including the latest version release can be found at the homepage. ","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11210},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11432}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Japan","United States","European Union"],"publications":[{"id":868,"pubmed_id":17925023,"title":"Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.","year":2007,"url":"http://doi.org/10.1186/1741-7007-5-44","authors":"Kerrien S., Orchard S., Montecchi-Palazzi L. et al.","journal":"BMC Biol.","doi":"10.1186/1741-7007-5-44","created_at":"2021-09-30T08:23:55.889Z","updated_at":"2021-09-30T08:23:55.889Z"}],"licence_links":[],"grants":[{"id":5017,"fairsharing_record_id":70,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:11.393Z","updated_at":"2021-09-30T09:31:05.713Z","grant_id":1013,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902 (RII3)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8130,"fairsharing_record_id":70,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:31:06.872Z","updated_at":"2021-09-30T09:31:06.933Z","grant_id":1023,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"GM070064","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5018,"fairsharing_record_id":70,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:27:11.436Z","updated_at":"2021-09-30T09:27:11.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5020,"fairsharing_record_id":70,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:27:11.527Z","updated_at":"2021-09-30T09:30:47.007Z","grant_id":868,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-FC03-02ER63421","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5019,"fairsharing_record_id":70,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:11.485Z","updated_at":"2021-09-30T09:30:00.537Z","grant_id":510,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"1 R01 GM071909","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"71","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:51:10.415Z","metadata":{"doi":"10.25504/FAIRsharing.pw2hnb","name":"Microbiological Common Language","status":"deprecated","contacts":[{"contact_name":"Bert Verslyppe","contact_email":"Bert.Verslyppe@UGent.be"}],"homepage":"http://www.straininfo.net/projects/mcl","citations":[],"identifier":71,"description":"MCL is a data exchange standard for microbiological information. In short, MCL defines terms which can be used to reference and describe microorganisms. It is designed to form a simple and generic framework leveraging the electronical exchange of information about microorganisms. MCL is loosely coupled from its actual representation technologies and is currently used to structure XML and RDF files.","abbreviation":"MCL","support_links":[{"url":"StrainInfo@UGent.be","type":"Support email"},{"url":"http://www.straininfo.net/projects/mcl/reference","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2022-02-01","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000118","bsg-s000118"],"name":"FAIRsharing record for: Microbiological Common Language","abbreviation":"MCL","url":"https://fairsharing.org/10.25504/FAIRsharing.pw2hnb","doi":"10.25504/FAIRsharing.pw2hnb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MCL is a data exchange standard for microbiological information. In short, MCL defines terms which can be used to reference and describe microorganisms. It is designed to form a simple and generic framework leveraging the electronical exchange of information about microorganisms. MCL is loosely coupled from its actual representation technologies and is currently used to structure XML and RDF files.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11244},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11950}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Microbiology"],"domains":[],"taxonomies":["Algae","Archaea","Bacteria","Fungi","Protozoa"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":973,"pubmed_id":20211251,"title":"Microbiological Common Language (MCL): a standard for electronic information exchange in the Microbial Commons.","year":2010,"url":"http://doi.org/10.1016/j.resmic.2010.02.005","authors":"Verslyppe B,Kottmann R,De Smet W,De Baets B,De Vos P,Dawyndt P","journal":"Res Microbiol","doi":"10.1016/j.resmic.2010.02.005","created_at":"2021-09-30T08:24:07.647Z","updated_at":"2021-09-30T08:24:07.647Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"73","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:21.000Z","updated_at":"2024-03-21T13:58:56.829Z","metadata":{"doi":"10.25504/FAIRsharing.4z037c","name":"LINCS Extended Metadata Standard: Antibody Reagents","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Antibody_Metadata_2017.pdf","citations":[],"identifier":73,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor). Important metadata to be reported include a standardized name and ID of the antibody, identity of the target protein, target organism, information on the immunogen (name, source, modification of the protein/peptide), antibody clonality, antibody isotype, antibody purity, antibody specificity, and whether it was used as a primary or secondary antibody in an assay.","abbreviation":"LINCS 2: Antibody Reagents","support_links":[{"url":"https://lincsproject.org/LINCS/files/Antibody_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000657","bsg-s000657"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Antibody Reagents","abbreviation":"LINCS 2: Antibody Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.4z037c","doi":"10.25504/FAIRsharing.4z037c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor). Important metadata to be reported include a standardized name and ID of the antibody, identity of the target protein, target organism, information on the immunogen (name, source, modification of the protein/peptide), antibody clonality, antibody isotype, antibody purity, antibody specificity, and whether it was used as a primary or secondary antibody in an assay.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11907},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12498}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunogenetics","Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Catalytic activity","Antibody"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5023,"fairsharing_record_id":73,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:11.635Z","updated_at":"2021-09-30T09:27:11.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11559,"fairsharing_record_id":73,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:56.293Z","updated_at":"2024-03-21T13:58:56.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"74","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:18.000Z","updated_at":"2024-03-21T13:58:10.533Z","metadata":{"doi":"10.25504/FAIRsharing.xjx7vy","name":"LINCS Extended Metadata Standard: Proteins","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Protein_Metadata_2017.pdf","citations":[],"identifier":74,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. A standardized description of protein reagents is critical to link results of different LINCS assay types. Protein reagents need to be identified in a manner that enables screening results associated with a specific protein reagent (e.g., KINOMEscan) to be linked with data obtained by other assays in which that protein participates as a (material) component (e.g., in a cell-based assay readout via the L1000 transcript profiling method).","abbreviation":"LINCS 2: Proteins","support_links":[{"url":"https://lincsproject.org/LINCS/files/Protein_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000656","bsg-s000656"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Proteins","abbreviation":"LINCS 2: Proteins","url":"https://fairsharing.org/10.25504/FAIRsharing.xjx7vy","doi":"10.25504/FAIRsharing.xjx7vy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. A standardized description of protein reagents is critical to link results of different LINCS assay types. Protein reagents need to be identified in a manner that enables screening results associated with a specific protein reagent (e.g., KINOMEscan) to be linked with data obtained by other assays in which that protein participates as a (material) component (e.g., in a cell-based assay readout via the L1000 transcript profiling method).","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11903},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12494}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Metaproteomics","Proteomics","Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Proteome","Catalytic activity","Protein-containing complex","Protein Analysis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5025,"fairsharing_record_id":74,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:11.719Z","updated_at":"2021-09-30T09:27:11.719Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11537,"fairsharing_record_id":74,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:10.115Z","updated_at":"2024-03-21T13:58:10.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"50","type":"fairsharing_records","attributes":{"created_at":"2020-09-11T13:33:56.000Z","updated_at":"2024-03-06T11:53:16.206Z","metadata":{"doi":"10.25504/FAIRsharing.d69ee0","name":"ISO 19136-1:2020 Geographic information -- Geography Markup Language -- Part 1: Fundamentals","status":"ready","contacts":[{"contact_name":"OGC General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/gml","identifier":50,"description":"The Geography Markup Language (GML) is an XML grammar for expressing geographical features. GML serves as a modeling language for geographic systems as well as an open interchange format for geographic transactions on the Internet. Generic geographic data sets are described using GML via points, lines and polygons. GML also supports community-specific extensions, allowing users to refer to objects such as roads, highways, and bridges instead of points, lines and polygons. GML is both a Open Geospatial Consortium (OGC) and an ISO (ISO 19136-1:2020) standard, and therefore abbreviations from both sources are included in the record.","abbreviation":"GML","year_creation":2005},"legacy_ids":["bsg-001522","bsg-s001522"],"name":"FAIRsharing record for: ISO 19136-1:2020 Geographic information -- Geography Markup Language -- Part 1: Fundamentals","abbreviation":"GML","url":"https://fairsharing.org/10.25504/FAIRsharing.d69ee0","doi":"10.25504/FAIRsharing.d69ee0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geography Markup Language (GML) is an XML grammar for expressing geographical features. GML serves as a modeling language for geographic systems as well as an open interchange format for geographic transactions on the Internet. Generic geographic data sets are described using GML via points, lines and polygons. GML also supports community-specific extensions, allowing users to refer to objects such as roads, highways, and bridges instead of points, lines and polygons. GML is both a Open Geospatial Consortium (OGC) and an ISO (ISO 19136-1:2020) standard, and therefore abbreviations from both sources are included in the record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2138,"relation":"undefined"},{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2139,"relation":"undefined"}],"grants":[{"id":4977,"fairsharing_record_id":50,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:09.850Z","updated_at":"2021-09-30T09:27:09.850Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":4976,"fairsharing_record_id":50,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:09.809Z","updated_at":"2021-09-30T09:27:09.809Z","grant_id":null,"is_lead":true,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"51","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T15:30:20.000Z","updated_at":"2024-02-12T21:39:51.770Z","metadata":{"doi":"10.25504/FAIRsharing.Yvc76F","name":"International GeoSample Number","status":"deprecated","contacts":[{"contact_name":"IGSN e.V. Management Office","contact_email":"info@igsn.org"}],"homepage":"https://igsn.github.io/","citations":[],"identifier":51,"description":"The IGSN is a globally unique persistent identifier for physical specimens. The IGSN registration service will facilitate the discovery, access, and sharing of samples, ensure preservation and access of sample data, aid identification of samples in the literature, and advance the exchange of digital sample data among interoperable data systems. ","abbreviation":"IGSN (GeoSample)","support_links":[{"url":"https://support.datacite.org/docs/igsn-id-registration-guide","name":"Registering IGSN IDs","type":"Help documentation"},{"url":"https://igsn.github.io/syntax/","name":"Syntax Guidelines","type":"Help documentation"}],"year_creation":2011,"cross_references":[],"deprecation_date":"2022-12-01","deprecation_reason":"The scope for the IGSN identifier has broadened to include all kinds of physical samples. It is now spelled out as \"International Generic Sample Number\".","regular_expression":"^[A-Za-z]{2,4}[A-Za-z0-9.-]{1,71}$"},"legacy_ids":["bsg-001495","bsg-s001495"],"name":"FAIRsharing record for: International GeoSample Number","abbreviation":"IGSN (GeoSample)","url":"https://fairsharing.org/10.25504/FAIRsharing.Yvc76F","doi":"10.25504/FAIRsharing.Yvc76F","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IGSN is a globally unique persistent identifier for physical specimens. The IGSN registration service will facilitate the discovery, access, and sharing of samples, ensure preservation and access of sample data, aid identification of samples in the literature, and advance the exchange of digital sample data among interoperable data systems. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":4978,"fairsharing_record_id":51,"organisation_id":1313,"relation":"maintains","created_at":"2021-09-30T09:27:09.889Z","updated_at":"2023-12-22T20:45:40.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1313,"name":"IGSN e.V.","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"53","type":"fairsharing_records","attributes":{"created_at":"2018-10-22T21:40:20.000Z","updated_at":"2022-07-20T11:51:50.817Z","metadata":{"doi":"10.25504/FAIRsharing.76c96a","name":"OpenAIRE Guidelines for Literature Repositories","status":"ready","contacts":[{"contact_name":"General enquiries","contact_email":"guidelines@openaire.eu"}],"homepage":"https://guidelines.openaire.eu/en/latest/literature/index.html","citations":[],"identifier":53,"description":"OpenAIRE Guidelines for Literature Repository Managers provides orientation for repository managers to define and implement their local data management policies according to the requirements of the OpenAIRE - Open Access Infrastructure for Research in Europe.","abbreviation":null,"support_links":[{"url":"https://github.com/openaire/guidelines-literature-repositories/issues","name":"Issues","type":"Github"},{"url":"https://zenodo.org/record/1299203#.XfjZ6zJKhQI","name":"OpenAIRE Guidelines for institutional and thematic repository managers 4.0","type":"Help documentation"},{"url":"https://zenodo.org/record/1487968#.XfjaEjJKhQI","name":"OpenAIRE Guidelines for Literature Repositories version 3.0","type":"Help documentation"},{"url":"https://zenodo.org/record/59208#.XfjaFDJKhQI","name":"OpenAIRE Guidelines 2.0 : Guidelines for content providers of the OpenAIRE information space","type":"Help documentation"},{"url":"https://zenodo.org/record/59206#.XfjaFjJKhQI","name":"OpenAIRE Guidelines 1.1 : Guidelines for content providers of the OpenAIRE information space","type":"Help documentation"},{"url":"https://zenodo.org/record/59204#.XfjaGDJKhQI","name":"OpenAIRE Guidelines 1.0 : Guidelines for content providers of the OpenAIRE information space","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"https://www.openaire.eu/validator/","name":"OpenAIRE Validator"}]},"legacy_ids":["bsg-001331","bsg-s001331"],"name":"FAIRsharing record for: OpenAIRE Guidelines for Literature Repositories","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.76c96a","doi":"10.25504/FAIRsharing.76c96a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OpenAIRE Guidelines for Literature Repository Managers provides orientation for repository managers to define and implement their local data management policies according to the requirements of the OpenAIRE - Open Access Infrastructure for Research in Europe.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12948},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13348}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata","Publication","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":828,"relation":"undefined"}],"grants":[{"id":4979,"fairsharing_record_id":53,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:09.921Z","updated_at":"2021-09-30T09:27:09.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9472,"fairsharing_record_id":53,"organisation_id":2252,"relation":"maintains","created_at":"2022-04-28T19:10:50.804Z","updated_at":"2022-04-28T19:10:50.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"54","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.173Z","metadata":{"doi":"10.25504/FAIRsharing.5rzy8w","name":"Minimum Information About Sample Preparation for a Phosphoproteomics Experiment","status":"uncertain","contacts":[{"contact_name":"Joaquim Abian","contact_email":"Joaquim.Abian.csic@uab.car","contact_orcid":"0000-0003-2823-5429"}],"homepage":"http://mibbi.sf.net/projects/MIASPPE.shtml","identifier":54,"description":"Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"MIASPPE","support_links":[{"url":"http://www.psidev.info/groups/protein-separation","type":"Help documentation"},{"url":"https://bitbucket.org/lp-csic-uab/","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-000180","bsg-s000180"],"name":"FAIRsharing record for: Minimum Information About Sample Preparation for a Phosphoproteomics Experiment","abbreviation":"MIASPPE","url":"https://fairsharing.org/10.25504/FAIRsharing.5rzy8w","doi":"10.25504/FAIRsharing.5rzy8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11434},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11583}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Peptide","Chromatography","Phosphorylation","Assay","Sample preparation for assay","Phosphoprotein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1248,"pubmed_id":19367720,"title":"Phosphorylation analysis of primary human T lymphocytes using sequential IMAC and titanium oxide enrichment.","year":2009,"url":"http://doi.org/10.1021/pr800500r","authors":"Carrascal M,Ovelleiro D,Casas V,Gay M,Abian J","journal":"J Proteome Res","doi":"10.1021/pr800500r","created_at":"2021-09-30T08:24:39.215Z","updated_at":"2021-09-30T08:24:39.215Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":44,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":121,"relation":"undefined"}],"grants":[{"id":4980,"fairsharing_record_id":54,"organisation_id":2379,"relation":"maintains","created_at":"2021-09-30T09:27:09.944Z","updated_at":"2021-09-30T09:27:09.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":2379,"name":"Proteomics Laboratory CSIC/UAB, Barcelona, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"55","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:13.546Z","metadata":{"doi":"10.25504/FAIRsharing.nttge3","name":"Suggested Ontology for PHARMacogenomics","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"Adrien.Coulet@loria.fr","contact_orcid":"0000-0002-1466-062X"}],"homepage":"http://bioportal.bioontology.org/ontologies/SOPHARM","identifier":55,"description":"SO-Pharm is a formal ontology that represent domain knowledge in pharmacogenomics. To achieve this goal, SO-Pharm articulates ontologies from sub domains of phamacogenomics (i.e. genotype, phenotype, drug, trial representations). SO-Pharm enables to support knowledge about pharmacogenomic hypothesis, case study, and investigations in pharmacogenomics.","abbreviation":"SOPHARM","support_links":[{"url":"https://members.loria.fr/ACoulet/","name":"Adrien Coulet's webpage","type":"Help documentation"},{"url":"https://hal.inria.fr/inria-00089824/en/","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SOPHARM","name":"SOPHARM","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/sopharm.html","name":"sopharm","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000099","bsg-s000099"],"name":"FAIRsharing record for: Suggested Ontology for PHARMacogenomics","abbreviation":"SOPHARM","url":"https://fairsharing.org/10.25504/FAIRsharing.nttge3","doi":"10.25504/FAIRsharing.nttge3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SO-Pharm is a formal ontology that represent domain knowledge in pharmacogenomics. To achieve this goal, SO-Pharm articulates ontologies from sub domains of phamacogenomics (i.e. genotype, phenotype, drug, trial representations). SO-Pharm enables to support knowledge about pharmacogenomic hypothesis, case study, and investigations in pharmacogenomics.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11709},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12408}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Pharmacogenomics","Biomedical Science","Preclinical Studies"],"domains":["Drug","Chemical entity","Phenotype","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1814,"pubmed_id":21431576,"title":"Ontology-based knowledge discovery in pharmacogenomics.","year":2011,"url":"http://doi.org/10.1007/978-1-4419-7046-6_36","authors":"Coulet A,Smail-Tabbone M,Napoli A,Devignes MD","journal":"Adv Exp Med Biol","doi":"10.1007/978-1-4419-7046-6_36","created_at":"2021-09-30T08:25:43.597Z","updated_at":"2021-09-30T08:25:43.597Z"}],"licence_links":[],"grants":[{"id":4982,"fairsharing_record_id":55,"organisation_id":2981,"relation":"maintains","created_at":"2021-09-30T09:27:09.994Z","updated_at":"2021-09-30T09:27:09.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4981,"fairsharing_record_id":55,"organisation_id":2594,"relation":"maintains","created_at":"2021-09-30T09:27:09.971Z","updated_at":"2021-09-30T09:27:09.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2594,"name":"SOPHARM administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"67","type":"fairsharing_records","attributes":{"created_at":"2020-01-06T13:47:24.000Z","updated_at":"2022-04-11T12:07:17.206Z","metadata":{"doi":"10.25504/FAIRsharing.jE0WcA","name":"Drug Database for Inborn Errors of Metabolism Ontology","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"http://aber-owl.net/ontology/DDIEM/","identifier":67,"description":"DDIEM Ontology for the Drug Database for Inborn Errors of Metabolism. The DDIEM database is a database of therapeutic strategies and treatments for inborn errors of metabolism. These strategies are classified by mechanism and outcome using the DDIEM Ontology.","abbreviation":"DDIEM Ontology","support_links":[{"url":"robert.hoehndorf@kaust.edu.sa","name":"Robert Hoehndorf","type":"Support email"},{"url":"pns12@cam.ac.uk","name":"Dr Paul Schofield","type":"Support email"},{"url":"https://github.com/bio-ontology-research-group/DDIEM/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/bio-ontology-research-group/DDIEM","name":"GitHub Project","type":"Github"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDIEM","name":"DDIEM","portal":"BioPortal"}]},"legacy_ids":["bsg-001425","bsg-s001425"],"name":"FAIRsharing record for: Drug Database for Inborn Errors of Metabolism Ontology","abbreviation":"DDIEM Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.jE0WcA","doi":"10.25504/FAIRsharing.jE0WcA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DDIEM Ontology for the Drug Database for Inborn Errors of Metabolism. The DDIEM database is a database of therapeutic strategies and treatments for inborn errors of metabolism. These strategies are classified by mechanism and outcome using the DDIEM Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Phenotype","Disease","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Saudi Arabia","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":910,"relation":"undefined"}],"grants":[{"id":5010,"fairsharing_record_id":67,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:27:11.134Z","updated_at":"2021-09-30T09:27:11.134Z","grant_id":null,"is_lead":true,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9142,"fairsharing_record_id":67,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.195Z","updated_at":"2022-04-11T12:07:17.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"68","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-24T09:38:08.114Z","metadata":{"doi":"10.25504/FAIRsharing.wz1w7t","name":"Minimum Information About a Spinal Cord Injury experiment","status":"ready","contacts":[{"contact_name":"Vance Lemmon","contact_email":"vlemmon@me.com","contact_orcid":"0000-0003-3550-7576"}],"homepage":"https://regenbase.org/miasci-online.html","citations":[],"identifier":68,"description":"MIASCI is a reporting standard for metadata regarding preclinical spinal cord injury (SCI) experiments. It is based on other reporting standards such as MIAME: minimal information about a microarray experiment. The project aims to improve the replicability of SCI research findings through this minimum information standard for describing SCI experiments and their results, and an ontology to formally describe SCI concepts and the relationships between them. Please note that the ontology remains available, even though MIASCI Online is non-functional. ","abbreviation":"MIASCI","support_links":[{"url":"https://twitter.com/MIASCI","type":"Twitter"},{"url":"https://regenbase.org/team--contact.html","name":"General Contact Form and Emails","type":"Contact form"},{"url":"https://regenbase.org/faq.html","name":"MIASCI FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2013,"associated_tools":[]},"legacy_ids":["bsg-000541","bsg-s000541"],"name":"FAIRsharing record for: Minimum Information About a Spinal Cord Injury experiment","abbreviation":"MIASCI","url":"https://fairsharing.org/10.25504/FAIRsharing.wz1w7t","doi":"10.25504/FAIRsharing.wz1w7t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIASCI is a reporting standard for metadata regarding preclinical spinal cord injury (SCI) experiments. It is based on other reporting standards such as MIAME: minimal information about a microarray experiment. The project aims to improve the replicability of SCI research findings through this minimum information standard for describing SCI experiments and their results, and an ontology to formally describe SCI concepts and the relationships between them. Please note that the ontology remains available, even though MIASCI Online is non-functional. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Anatomy","Medicine","Neurobiology","Biomedical Science","Translational Medicine"],"domains":["Expression data","Protein identification","Bioimaging","Neuron","Image","Functional association","Assay","Stereo microscope","Morphology","Brain"],"taxonomies":["Homo sapiens","Mammalia","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Australia","Canada","China","Germany","Japan","Switzerland","United Kingdom","United States"],"publications":[{"id":636,"pubmed_id":24870067,"title":"Minimum Information About a Spinal Cord Injury Experiment (MIASCI) - a proposed reporting standard for spinal cord injury experiments.","year":2014,"url":"http://doi.org/10.1089/neu.2014.3400","authors":"Lemmon VP, Ferguson AR, Popovich PG, Xu XM, Snow DM, Igarashi M, Beattie CE, Bixby JL, Abeyruwan SW, Beattie MS, Bethea J, Bradke F, Bresnahan JC, Bunge MB, Callahan A, David S, Dunlop SA, Fawcett J, Fehlings M, Fischer I, Giger RJ, Goshima Y, Grimpe B, Hagg T, Hall ED, Harrison BJ, Harvey AR, He C, He Z, Hirata T, Hoke A, Hulsebosch CE, Hurtado A, Jain A, Kadoya K, Kamiguchi H, Kengaku M, Kocsis JD Ph D, Kwon BK, Lee JK, Liebl DJ PhD, Liu SJ, Lowery LA, Mandrekar-Colucci S, Martin JH, Mason CA, McTigue DM, Mokarram N, Moon LD, Muller HW, Nakamura T, Namba T, Nishibe M, Oinuma I, Oudega M, Pleasure DE, Raisman G, Rasband MN, Reier PJ, Santiago-Medina M, Schwab JM, Schwab ME, Shinmyo Y, Silver J, Smith GM, So KF, Sofroniew MV Md PhD, Strittmatter SM, Tuszynski MH, Twiss JL, Visser U, Watkins TA, Wu W, Yoon SO, Yuzaki M, Zheng B, Zhou F, Zou Y.","journal":"Journal of Neurotrauma","doi":"10.1089/neu.2014.3400","created_at":"2021-09-30T08:23:30.019Z","updated_at":"2021-09-30T08:23:30.019Z"},{"id":848,"pubmed_id":27055827,"title":"RegenBase: a knowledge base of spinal cord injury biology for translational research.","year":2016,"url":"http://doi.org/10.1093/database/baw040","authors":"Callahan A, Abeyruwan SW, Al-Ali H, Sakurai K, Ferguson AR, Popovich PG, Shah NH, Visser U, Bixby JL, Lemmon VP.","journal":"Database (Oxford)","doi":"10.1093/database/baw040","created_at":"2021-09-30T08:23:53.545Z","updated_at":"2021-09-30T08:23:53.545Z"}],"licence_links":[{"licence_name":"RegenBase Terms","licence_id":1074,"licence_url":"https://regenbase.org/terms-of-use.html","link_id":3341,"relation":"applies_to_content"}],"grants":[{"id":5012,"fairsharing_record_id":68,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:11.227Z","updated_at":"2021-09-30T09:27:11.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10466,"fairsharing_record_id":68,"organisation_id":2035,"relation":"funds","created_at":"2023-03-28T13:40:25.840Z","updated_at":"2023-03-28T13:40:25.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10878,"fairsharing_record_id":68,"organisation_id":818,"relation":"maintains","created_at":"2023-09-21T13:33:08.142Z","updated_at":"2023-09-21T13:37:16.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":818,"name":"University of Miami","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5014,"fairsharing_record_id":68,"organisation_id":1825,"relation":"funds","created_at":"2021-09-30T09:27:11.295Z","updated_at":"2021-09-30T09:27:11.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5013,"fairsharing_record_id":68,"organisation_id":1825,"relation":"maintains","created_at":"2021-09-30T09:27:11.264Z","updated_at":"2023-09-21T13:37:16.746Z","grant_id":null,"is_lead":true,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":11080,"fairsharing_record_id":68,"organisation_id":3790,"relation":"maintains","created_at":"2023-11-08T13:09:54.773Z","updated_at":"2023-11-08T13:09:54.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":3790,"name":"University of Miami Institute for Data Science and Computing","types":["Research institute","University"],"is_lead":false,"relation":"maintains"}},{"id":9315,"fairsharing_record_id":68,"organisation_id":2023,"relation":"funds","created_at":"2022-04-11T12:07:29.842Z","updated_at":"2022-04-11T12:07:29.859Z","grant_id":1359,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","grant":"1R01 NS080145","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdkFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--885dbc87b44bc15f79a084e9d73e6a54367489fc/1424801361.png?disposition=inline","exhaustive_licences":true}},{"id":"69","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T15:27:12.894Z","metadata":{"doi":"10.25504/FAIRsharing.2hh7g7","name":"Genomic Contextual Data Markup Language","status":"ready","contacts":[{"contact_name":"Renzo Kottmann","contact_email":"rkottman@mpi-bremen.de"}],"homepage":"https://www.liebertpub.com/doi/10.1089/omi.2008.0A10","citations":[],"identifier":69,"description":"The Genomic Contextual Data Markup Language (GCDML) is a core project of the Genomic Standards Consortium (GSC) that is a reference implementation the Minimum Information about a Genome Sequence (MIGS/MIMS/MIMARKS), and the extensions the Minimum Information about a Metagenome Sequence (MIMS) and Minimum Information about a MARKer gene Sequence (MIMARKS).","abbreviation":"GCDML","support_links":[{"url":"https://www.gensc.org/pages/standards-intro.html","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000079","bsg-s000079"],"name":"FAIRsharing record for: Genomic Contextual Data Markup Language","abbreviation":"GCDML","url":"https://fairsharing.org/10.25504/FAIRsharing.2hh7g7","doi":"10.25504/FAIRsharing.2hh7g7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic Contextual Data Markup Language (GCDML) is a core project of the Genomic Standards Consortium (GSC) that is a reference implementation the Minimum Information about a Genome Sequence (MIGS/MIMS/MIMARKS), and the extensions the Minimum Information about a Metagenome Sequence (MIMS) and Minimum Information about a MARKer gene Sequence (MIMARKS).","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11853},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12403}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Metagenome","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":999,"pubmed_id":18479204,"title":"A standard MIGS/MIMS compliant XML Schema: toward the development of the Genomic Contextual Data Markup Language (GCDML).","year":2008,"url":"http://doi.org/10.1089/omi.2008.0A10","authors":"Kottmann R,Gray T,Murphy S,Kagan L,Kravitz S,Lombardot T,Field D,Glockner FO","journal":"OMICS","doi":"10.1089/omi.2008.0A10","created_at":"2021-09-30T08:24:10.580Z","updated_at":"2021-09-30T08:24:10.580Z"}],"licence_links":[],"grants":[{"id":5016,"fairsharing_record_id":69,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:11.351Z","updated_at":"2021-09-30T09:27:11.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"56","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T18:06:47.690Z","metadata":{"doi":"10.25504/FAIRsharing.3wbgm0","name":"Mouse PATHology","status":"ready","contacts":[{"contact_name":"Paul Schofield","contact_email":"pns12@cam.ac.uk","contact_orcid":"0000-0002-5111-7263"}],"homepage":"https://github.com/PaulNSchofield/mpath","citations":[],"identifier":56,"description":"Mouse PATHology (MPATH) ontology is a structured controlled vocabulary of mutant and transgenic mouse pathology phenotypes. This resource was developed by the Pathology Consortium of Pathbase (www.pathbase.net).","abbreviation":"MPATH","year_creation":2004,"cross_references":[{"url":"http://www.obofoundry.org/ontology/mpath.html","name":"mpath","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000127","bsg-s000127"],"name":"FAIRsharing record for: Mouse PATHology","abbreviation":"MPATH","url":"https://fairsharing.org/10.25504/FAIRsharing.3wbgm0","doi":"10.25504/FAIRsharing.3wbgm0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mouse PATHology (MPATH) ontology is a structured controlled vocabulary of mutant and transgenic mouse pathology phenotypes. This resource was developed by the Pathology Consortium of Pathbase (www.pathbase.net).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Biomedical Science"],"domains":["Mutation","Histology","Phenotype","Disease","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["Belgium","Germany","Italy","Sweden","United Kingdom","United States"],"publications":[{"id":1675,"pubmed_id":20587689,"title":"Pathbase and the MPATH ontology. Community resources for mouse histopathology.","year":2010,"url":"http://doi.org/10.1177/0300985810374845","authors":"Schofield PN,Gruenberger M,Sundberg JP","journal":"Vet Pathol","doi":"10.1177/0300985810374845","created_at":"2021-09-30T08:25:27.654Z","updated_at":"2021-09-30T08:25:27.654Z"}],"licence_links":[],"grants":[{"id":4987,"fairsharing_record_id":56,"organisation_id":2294,"relation":"maintains","created_at":"2021-09-30T09:27:10.180Z","updated_at":"2021-09-30T09:27:10.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":2294,"name":"Pathbase administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4985,"fairsharing_record_id":56,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:27:10.100Z","updated_at":"2021-09-30T09:32:36.845Z","grant_id":1700,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"QLRI-CT-1999-00320","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4983,"fairsharing_record_id":56,"organisation_id":847,"relation":"funds","created_at":"2021-09-30T09:27:10.028Z","updated_at":"2021-09-30T09:27:10.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":847,"name":"Ellison Medical Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4984,"fairsharing_record_id":56,"organisation_id":2179,"relation":"funds","created_at":"2021-09-30T09:27:10.058Z","updated_at":"2021-09-30T09:27:10.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":2179,"name":"North American Hair Research Society","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":4988,"fairsharing_record_id":56,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:10.217Z","updated_at":"2021-09-30T09:29:02.668Z","grant_id":69,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"CA089713","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8086,"fairsharing_record_id":56,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:51.596Z","updated_at":"2021-09-30T09:30:51.643Z","grant_id":906,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"RR17436","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8126,"fairsharing_record_id":56,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:05.879Z","updated_at":"2021-09-30T09:31:05.923Z","grant_id":1015,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"AR49288","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9141,"fairsharing_record_id":56,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.148Z","updated_at":"2022-04-11T12:07:17.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"57","type":"fairsharing_records","attributes":{"created_at":"2017-10-04T05:29:42.000Z","updated_at":"2022-07-20T10:21:12.349Z","metadata":{"doi":"10.25504/FAIRsharing.sbbbf6","name":"Genome Biology Ontology Language","status":"in_development","contacts":[{"contact_name":"Jasper Koehorst","contact_email":"jasper.koehorst@wur.nl","contact_orcid":"0000-0001-8172-8981"}],"homepage":"http://gbol.life","identifier":57,"description":"To enable interoperability of genome annotations, we have developed the Genome Biology Ontology Language (GBOL) and associated stack (GBOL stack). GBOL is provenance centered and provides a consistent representation of genome derived automated predictions linked to the dataset-wise and element-wise provenance of predicted elements. GBOL is modular in design, extendible and is integrated with existing ontologies. Interoperability of linked data can only be guaranteed through the application of tools that provide the means for a continuous validation of generated linked data. The GBOL stack enforces consistency within and between the OWL and ShEx definitions. Genome wide large scale functional analyses can then easily be achieved using SPARQL queries. Additionally, modules have been developed to serialize the linked data (RDF) and to generate a plain text format files with integrated support for data provenance that that mimic the indentation structure of GenBank and EMBL formats.","abbreviation":"GBOL","support_links":[{"url":"http://gbol.life","name":"GBOL website","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://gitlab.com/Empusa","name":"Empusa"},{"url":"http://gitlab.com/gbol","name":"GBOL"},{"url":"http://gitlab.com/sapp/conversion","name":"SAPP - Conversion"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GBOL","name":"GBOL","portal":"BioPortal"}]},"legacy_ids":["bsg-000721","bsg-s000721"],"name":"FAIRsharing record for: Genome Biology Ontology Language","abbreviation":"GBOL","url":"https://fairsharing.org/10.25504/FAIRsharing.sbbbf6","doi":"10.25504/FAIRsharing.sbbbf6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To enable interoperability of genome annotations, we have developed the Genome Biology Ontology Language (GBOL) and associated stack (GBOL stack). GBOL is provenance centered and provides a consistent representation of genome derived automated predictions linked to the dataset-wise and element-wise provenance of predicted elements. GBOL is modular in design, extendible and is integrated with existing ontologies. Interoperability of linked data can only be guaranteed through the application of tools that provide the means for a continuous validation of generated linked data. The GBOL stack enforces consistency within and between the OWL and ShEx definitions. Genome wide large scale functional analyses can then easily be achieved using SPARQL queries. Additionally, modules have been developed to serialize the linked data (RDF) and to generate a plain text format files with integrated support for data provenance that that mimic the indentation structure of GenBank and EMBL formats.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12449}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Life Science"],"domains":["Annotation","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":132,"pubmed_id":null,"title":"Interoperable genome annotation with GBOL, an extendable infrastructure for functional data mining","year":2017,"url":"http://doi.org/10.1101/184747","authors":"Jesse C.J. van Dam, Jasper J. Koehorst , Jon Olav Vik, Peter J. Schaap and Maria Suarez-Diez","journal":"BioRxiv","doi":"10.1101/184747","created_at":"2021-09-30T08:22:34.457Z","updated_at":"2021-09-30T11:28:39.697Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1035,"relation":"undefined"}],"grants":[{"id":4991,"fairsharing_record_id":57,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:10.376Z","updated_at":"2021-09-30T09:29:25.720Z","grant_id":245,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"635536","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4989,"fairsharing_record_id":57,"organisation_id":3215,"relation":"maintains","created_at":"2021-09-30T09:27:10.246Z","updated_at":"2021-09-30T09:27:10.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":3215,"name":"Wageningen University and Research, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7958,"fairsharing_record_id":57,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:04.430Z","updated_at":"2021-09-30T09:30:04.477Z","grant_id":538,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"305340","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8333,"fairsharing_record_id":57,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:32:08.917Z","updated_at":"2021-09-30T09:32:09.018Z","grant_id":1490,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"634940","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9047,"fairsharing_record_id":57,"organisation_id":2192,"relation":"maintains","created_at":"2022-03-28T13:48:39.421Z","updated_at":"2022-03-28T13:48:39.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":2192,"name":"Norwegian University of Life Sciences (NMBU)","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4990,"fairsharing_record_id":57,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:27:10.269Z","updated_at":"2021-09-30T09:30:01.842Z","grant_id":521,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"248792","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"58","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:09:05.893Z","metadata":{"doi":"10.25504/FAIRsharing.gq1xtx","name":"Information Artifact Ontology","status":"ready","contacts":[{"contact_name":"Alan Ruttenberg","contact_email":"alanruttenberg@gmail.com","contact_orcid":"0000-0002-1604-3078"}],"homepage":"https://github.com/information-artifact-ontology/IAO/","identifier":58,"description":"The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch.","abbreviation":"IAO","support_links":[{"url":"http://groups.google.com/group/information-ontology","type":"Mailing list"},{"url":"https://github.com/information-artifact-ontology/IAO/issues","type":"Github"},{"url":"https://github.com/information-artifact-ontology/IAO/wiki/OntologyMetadata","name":"Ontology Metadata","type":"Github"},{"url":"https://github.com/information-artifact-ontology/IAO/wiki/Meeting_notes","name":"Meeting notes","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IAO","name":"IAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/iao.html","name":"iao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000105","bsg-s000105"],"name":"FAIRsharing record for: Information Artifact Ontology","abbreviation":"IAO","url":"https://fairsharing.org/10.25504/FAIRsharing.gq1xtx","doi":"10.25504/FAIRsharing.gq1xtx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11977}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Data Management","Subject Agnostic","Biomedical Science"],"domains":["Drug report","Experimental measurement","Data identity and mapping","Reagent","Assay","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":1189,"pubmed_id":22874154,"title":"An information artifact ontology perspective on data collections and associated representational artifacts.","year":2012,"url":"https://www.ncbi.nlm.nih.gov/pubmed/22874154","authors":"Ceusters W","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-61499-101-4-68","created_at":"2021-09-30T08:24:32.217Z","updated_at":"2021-09-30T08:24:32.217Z"},{"id":1577,"pubmed_id":null,"title":"Aboutness: Towards foundations for the information artifact ontology","year":2015,"url":"https://scholar.google.com/scholar?q=Smith+B+Ceusters+W+Aboutness:+Towards+Foundations+for+the+Information+Artifact+Ontology+International+Conference+on+Biomedical+Ontology+2015+July+27-30+Lisbon,+Portugal2015+47+51+","authors":"W Ceusters, B Smith","journal":"PhilPapers","doi":null,"created_at":"2021-09-30T08:25:16.777Z","updated_at":"2021-09-30T08:25:16.777Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1690,"relation":"undefined"}],"grants":[{"id":4994,"fairsharing_record_id":58,"organisation_id":2013,"relation":"funds","created_at":"2021-09-30T09:27:10.492Z","updated_at":"2021-09-30T09:29:32.095Z","grant_id":288,"is_lead":false,"saved_state":{"id":2013,"name":"National Institute of Dental and Craniofacial Research (NIDCR), Rockville, MD, USA","grant":"1R01DE021917-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"59","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.426Z","metadata":{"doi":"10.25504/FAIRsharing.sc3be1","name":"Separation Markup Language","status":"ready","contacts":[{"contact_name":"Chris Taylor","contact_email":"chris.taylor@ebi.ac.uk"}],"homepage":"http://www.psidev.info/sample-processing","identifier":59,"description":"The HUPO-PSI Protein Separation work group is a collaboration of researchers from academia, industrial partners and software vendors. The group aims to develop reporting requirements that supplement the MIAPE parent document, describing the minimum information that should be reported about gel-based, and non-gel based separation technologies employed for proteins and peptides in proteomics. The group will also develop data formats for capturing MIAPE-compliant data about these technologies and supporting controlled vocabularies.","abbreviation":"PSI SpML","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"http://www.psidev.info/spml-milestone-1-docs","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-000146","bsg-s000146"],"name":"FAIRsharing record for: Separation Markup Language","abbreviation":"PSI SpML","url":"https://fairsharing.org/10.25504/FAIRsharing.sc3be1","doi":"10.25504/FAIRsharing.sc3be1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HUPO-PSI Protein Separation work group is a collaboration of researchers from academia, industrial partners and software vendors. The group aims to develop reporting requirements that supplement the MIAPE parent document, describing the minimum information that should be reported about gel-based, and non-gel based separation technologies employed for proteins and peptides in proteomics. The group will also develop data formats for capturing MIAPE-compliant data about these technologies and supporting controlled vocabularies.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11429}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Material component separation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":4995,"fairsharing_record_id":59,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:10.530Z","updated_at":"2021-09-30T09:27:10.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"62","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-30T10:27:27.369Z","metadata":{"doi":"10.25504/FAIRsharing.zwtww5","name":"The Vaccine Ontology","status":"ready","contacts":[{"contact_name":"Yongqunh He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/vaccineontology/VO","citations":[],"identifier":62,"description":"The Vaccine Ontology (VO) was created as part of an international community-based effort to represent vaccine knowledge and to support automated reasoning. VO describes the detailed classification and definitions of vaccine components and vaccine administration processes. To ensure consistent representation of vaccine knowledge and to support automated reasoning, a community-based effort to develop the Vaccine Ontology (VO) has been initiated. This international collaborative VO development effort has been joined by many institutes and disciplines around the world. The Vaccine Ontology is also being used in a variety of applications by many user groups in academia and industry.","abbreviation":"VO","support_links":[{"url":"http://www.violinet.org/vaccineontology/contact_us.php","name":"VO Contact Form","type":"Contact form"},{"url":"http://www.violinet.org/vaccineontology/faqs.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/vaccineontology/VO/issues","name":"VO GitHub Issue Tracker","type":"Github"},{"url":"http://www.ontobee.org/ontostat/VO","name":"Ontobee Statistics","type":"Help documentation"},{"url":"https://violinet.org/vaccineontology/introduction.php","name":"About The Vaccine Ontology (VO)","type":"Help documentation"},{"url":"https://github.com/vaccineontology","name":" VO Vaccine Ontology on GitHub","type":"Github"},{"url":"https://violinet.org/vaccineontology/news.php","name":"VO News","type":"Blog/News"},{"url":"http://www.violinet.org/publications.php#vopapers","name":"Related Publications","type":"Help documentation"},{"url":"https://violinet.org/vaccineontology/index.php","name":"Introduction Index","type":"Help documentation"},{"url":"https://github.com/vaccineontology/VIO","name":"VIO: Vaccine Investigation Ontology (VO-extended ontology for metadata types)","type":"Other"}],"year_creation":2008,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VO","name":"VO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/vo.html","name":"vo","portal":"OBO Foundry"},{"url":"https://ontobee.org/ontology/VO","name":"Vaccine Ontology","portal":"Other"},{"url":"https://bioregistry.io/registry/vo","name":"Prefix: VO","portal":"Other"}]},"legacy_ids":["bsg-000101","bsg-s000101"],"name":"FAIRsharing record for: The Vaccine Ontology","abbreviation":"VO","url":"https://fairsharing.org/10.25504/FAIRsharing.zwtww5","doi":"10.25504/FAIRsharing.zwtww5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vaccine Ontology (VO) was created as part of an international community-based effort to represent vaccine knowledge and to support automated reasoning. VO describes the detailed classification and definitions of vaccine components and vaccine administration processes. To ensure consistent representation of vaccine knowledge and to support automated reasoning, a community-based effort to develop the Vaccine Ontology (VO) has been initiated. This international collaborative VO development effort has been joined by many institutes and disciplines around the world. The Vaccine Ontology is also being used in a variety of applications by many user groups in academia and industry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pathobiochemistry","Biomedical Science"],"domains":["Biological process","Pathogen","Vaccine","Vaccination"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1038,"pubmed_id":20875156,"title":"Bioinformatics analysis of Brucella vaccines and vaccine targets using VIOLIN.","year":2010,"url":"http://doi.org/10.1186/1745-7580-6-S1-S5","authors":"He Y,Xiang Z","journal":"Immunome Res","doi":"10.1186/1745-7580-6-S1-S5","created_at":"2021-09-30T08:24:14.939Z","updated_at":"2021-09-30T08:24:14.939Z"},{"id":1673,"pubmed_id":23256535,"title":"Ontology representation and analysis of vaccine formulation and administration and their effects on vaccine immune responses.","year":2012,"url":"http://doi.org/10.1186/2041-1480-3-17","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-3-17","created_at":"2021-09-30T08:25:27.436Z","updated_at":"2021-09-30T08:25:27.436Z"},{"id":3716,"pubmed_id":33238868,"title":"Ontology-based Precision Vaccinology for Deep Mechanism Understanding and Precision Vaccine Development","year":2020,"url":"http://dx.doi.org/10.2174/1381612826666201125112131","authors":"Xie, Jiangan; Zi, Wenrui; Li, Zhangyong; He, Yongqun; ","journal":"CPD","doi":"10.2174/1381612826666201125112131","created_at":"2022-11-29T16:07:43.346Z","updated_at":"2022-11-29T16:07:43.346Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":533,"relation":"applies_to_content"}],"grants":[{"id":4999,"fairsharing_record_id":62,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:10.683Z","updated_at":"2021-09-30T09:27:10.683Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5000,"fairsharing_record_id":62,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:10.722Z","updated_at":"2021-09-30T09:30:30.635Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0d3898a5618b34c0bc948bb0d101e906f212f05f/vo_banner.png?disposition=inline","exhaustive_licences":true}},{"id":"63","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T08:54:53.674Z","metadata":{"doi":"10.25504/FAIRsharing.j01xzz","name":"NeuroMorpho.Org species ontology","status":"deprecated","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmu.edu"}],"homepage":"https://bioportal.bioontology.org/ontologies/NMOSP","citations":[],"identifier":63,"description":"The species ontology of NeuroMorpho.Org was updated (OntoSearch v1.3) to map the new species and strains added in NeuroMorpho.Org v6.3 release.","abbreviation":"NMOSP","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NMOSP","name":"NMOSP","portal":"BioPortal"}],"deprecation_date":"2022-07-19","deprecation_reason":"This older version (with only the species dimension) underlying OntoSearch v1.0 has been deprecated."},"legacy_ids":["bsg-001035","bsg-s001035"],"name":"FAIRsharing record for: NeuroMorpho.Org species ontology","abbreviation":"NMOSP","url":"https://fairsharing.org/10.25504/FAIRsharing.j01xzz","doi":"10.25504/FAIRsharing.j01xzz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The species ontology of NeuroMorpho.Org was updated (OntoSearch v1.3) to map the new species and strains added in NeuroMorpho.Org v6.3 release.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Neuroscience","Neuroscience"],"domains":[],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"64","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.502Z","metadata":{"doi":"10.25504/FAIRsharing.64f3va","name":"Phenotype Fragment Ontology","status":"uncertain","contacts":[{"contact_name":"Tudor Groza","contact_email":"tudor.groza@uq.edu.au"}],"homepage":"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572876/","identifier":64,"description":"The Phenotype Fragment Ontology, together with a processing pipeline, enable the automatic decomposition and conceptualization of phenotype descriptions for the human skeletal phenome.","abbreviation":"PFO","year_creation":2012},"legacy_ids":["bsg-002812","bsg-s002812"],"name":"FAIRsharing record for: Phenotype Fragment Ontology","abbreviation":"PFO","url":"https://fairsharing.org/10.25504/FAIRsharing.64f3va","doi":"10.25504/FAIRsharing.64f3va","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Phenotype Fragment Ontology, together with a processing pipeline, enable the automatic decomposition and conceptualization of phenotype descriptions for the human skeletal phenome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":969,"pubmed_id":23440304,"title":"Decomposing phenotype descriptions for the human skeletal phenome.","year":2013,"url":"http://doi.org/10.4137/BII.S10729","authors":"Groza T,Hunter J,Zankl A","journal":"Biomed Inform Insights","doi":"10.4137/BII.S10729","created_at":"2021-09-30T08:24:07.204Z","updated_at":"2021-09-30T08:24:07.204Z"}],"licence_links":[],"grants":[{"id":5002,"fairsharing_record_id":64,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:27:10.801Z","updated_at":"2021-09-30T09:27:10.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5003,"fairsharing_record_id":64,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:27:10.839Z","updated_at":"2021-09-30T09:29:49.449Z","grant_id":421,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"(DECRA)-DE120100508","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8185,"fairsharing_record_id":64,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:31:23.572Z","updated_at":"2021-09-30T09:31:23.628Z","grant_id":1149,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"SKELETOME-LP100100156","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5001,"fairsharing_record_id":64,"organisation_id":2849,"relation":"maintains","created_at":"2021-09-30T09:27:10.759Z","updated_at":"2021-09-30T09:27:10.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":2849,"name":"The University of Queensland, Institute for Molecular Bioscience, Division of Chemistry and Structural Biology, Brisbane, 4072 QLD, Australia.","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"65","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.156Z","metadata":{"doi":"10.25504/FAIRsharing.kqt2h2","name":"RNA Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"BatchelorC@rsc.org","contact_orcid":"0000-0001-5985-7429"}],"homepage":"https://github.com/bgsu-rna/rnao","citations":[{"doi":"10.3233/AO-2011-0082","publication_id":1025}],"identifier":65,"description":"RNAO is a controlled vocabulary pertaining to RNA function and based on RNA sequences, secondary and three-dimensional structures. The central aim of the RNA Ontology Consortium (ROC) is to develop an ontology to capture all aspects of RNA - from primary sequence to alignments, secondary and tertiary structure, and from base pairing and base stacking interactions to sophisticated motifs.","abbreviation":"RNAO","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RNAO","name":"RNAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/rnao.html","name":"rnao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000122","bsg-s000122"],"name":"FAIRsharing record for: RNA Ontology","abbreviation":"RNAO","url":"https://fairsharing.org/10.25504/FAIRsharing.kqt2h2","doi":"10.25504/FAIRsharing.kqt2h2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAO is a controlled vocabulary pertaining to RNA function and based on RNA sequences, secondary and three-dimensional structures. The central aim of the RNA Ontology Consortium (ROC) is to develop an ontology to capture all aspects of RNA - from primary sequence to alignments, secondary and tertiary structure, and from base pairing and base stacking interactions to sophisticated motifs.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11145},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11947}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Life Science"],"domains":["RNA secondary structure","Molecular structure","Ribonucleic acid","Sequence motif"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":934,"pubmed_id":16484377,"title":"The RNA Ontology Consortium: an open invitation to the RNA community.","year":2006,"url":"http://doi.org/10.1261/rna.2343206","authors":"Leontis NB,Altman RB,Berman HM,Brenner SE,Brown JW,Engelke DR,Harvey SC,Holbrook SR,Jossinet F,Lewis SE,Major F,Mathews DH,Richardson JS,Williamson JR,Westhof E","journal":"RNA","doi":"10.1261/rna.2343206","created_at":"2021-09-30T08:24:03.347Z","updated_at":"2021-09-30T08:24:03.347Z"},{"id":1025,"pubmed_id":null,"title":"The RNA Ontology (RNAO): An Ontology for Integrating RNA Sequence and Structure Data","year":2011,"url":"http://doi.org/10.3233/AO-2011-0082","authors":"Hoehndorf, Robert and Batchelor, Colin and Bittner, Thomas and Dumontier, Michel and Eilbeck, Karen and Knight, Rob and Mungall, Chris J. and Richardson, Jane S. and Stombaugh, Jesse and Westhof, Eric and Zirbel, Craig L. and Leontis, Neocles B.","journal":"Applied Ontology","doi":"10.3233/AO-2011-0082","created_at":"2021-09-30T08:24:13.488Z","updated_at":"2021-09-30T08:24:13.488Z"}],"licence_links":[],"grants":[{"id":5005,"fairsharing_record_id":65,"organisation_id":2467,"relation":"maintains","created_at":"2021-09-30T09:27:10.923Z","updated_at":"2021-09-30T09:27:10.923Z","grant_id":null,"is_lead":false,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5004,"fairsharing_record_id":65,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:10.885Z","updated_at":"2021-09-30T09:31:27.618Z","grant_id":1178,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0443508","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"66","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.672Z","metadata":{"doi":"10.25504/FAIRsharing.rn9wzc","name":"Gel electrophoresis Markup Language","status":"ready","contacts":[{"contact_name":"Andy Jones","contact_email":"Andrew.Jones@liverpool.ac.uk"}],"homepage":"http://www.psidev.info/gelml","identifier":66,"description":"GelML is a data exchange format for describing the results of gel electrophoresis experiments. GelML is developed as a HUPO-PSI working group.","abbreviation":"PSI GelML","support_links":[{"url":"http://code.google.com/p/gelml/","name":"Google Code GelML Project","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-000087","bsg-s000087"],"name":"FAIRsharing record for: Gel electrophoresis Markup Language","abbreviation":"PSI GelML","url":"https://fairsharing.org/10.25504/FAIRsharing.rn9wzc","doi":"10.25504/FAIRsharing.rn9wzc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GelML is a data exchange format for describing the results of gel electrophoresis experiments. GelML is developed as a HUPO-PSI working group.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11177},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11446},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12069}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Report","Assay","Extract","Material component separation","Electrophoresis","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":1312,"pubmed_id":20677327,"title":"The gel electrophoresis markup language (GelML) from the Proteomics Standards Initiative.","year":2010,"url":"http://doi.org/10.1002/pmic.201000120","authors":"Gibson F,Hoogland C,Martinez-Bartolome S,Medina-Aunon JA,Albar JP,Babnigg G,Wipat A,Hermjakob H,Almeida JS,Stanislaus R,Paton NW,Jones AR","journal":"Proteomics","doi":"10.1002/pmic.201000120","created_at":"2021-09-30T08:24:46.484Z","updated_at":"2021-09-30T08:24:46.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2354,"relation":"undefined"},{"licence_name":"Mozilla Public License","licence_id":525,"licence_url":"https://www.mozilla.org/en-US/MPL/","link_id":2353,"relation":"undefined"}],"grants":[{"id":5007,"fairsharing_record_id":66,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:11.015Z","updated_at":"2021-09-30T09:27:11.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5006,"fairsharing_record_id":66,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:10.977Z","updated_at":"2021-09-30T09:31:33.926Z","grant_id":1227,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G010781/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5008,"fairsharing_record_id":66,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:11.052Z","updated_at":"2021-09-30T09:32:21.237Z","grant_id":1581,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1UL1RR024148","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"46","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T16:15:13.000Z","updated_at":"2023-03-22T15:44:06.242Z","metadata":{"doi":"10.25504/FAIRsharing.OsiqlF","name":"IUPAC Compendium of Chemical Terminology","status":"ready","contacts":[{"contact_name":"Stuart Chalk","contact_email":"schalk@unf.edu","contact_orcid":"0000-0002-0703-7776"},{"contact_name":"General Contact","contact_email":"goldbook@iupac.org","contact_orcid":null}],"homepage":"https://goldbook.iupac.org/","citations":[],"identifier":46,"description":"The IUPAC Gold Book is a database of ~7000 chemical concepts derived from IUPAC's Recommendations published in Pure and Applied Chemistry.","abbreviation":"IUPAC Gold Book","support_links":[{"url":"https://goldbook.iupac.org/pages/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://goldbook.iupac.org/pages/about","name":"About","type":"Help documentation"}],"year_creation":1996},"legacy_ids":["bsg-001496","bsg-s001496"],"name":"FAIRsharing record for: IUPAC Compendium of Chemical Terminology","abbreviation":"IUPAC Gold Book","url":"https://fairsharing.org/10.25504/FAIRsharing.OsiqlF","doi":"10.25504/FAIRsharing.OsiqlF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IUPAC Gold Book is a database of ~7000 chemical concepts derived from IUPAC's Recommendations published in Pure and Applied Chemistry.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11742},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17991}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Synthetic Chemistry","Organic Chemistry","Biochemistry","Polymer Chemistry","Synthesis Chemistry","Chemistry","Molecular Physical Chemistry","Theoretical Chemistry","Solid-State Chemistry","Physical Chemistry","Clinical Chemistry","Analytical Chemistry","Food Chemistry","Computational Chemistry","Medicinal Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1161,"relation":"undefined"}],"grants":[{"id":4971,"fairsharing_record_id":46,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:27:09.630Z","updated_at":"2021-09-30T09:27:09.630Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"47","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T15:08:41.000Z","updated_at":"2023-03-30T09:04:22.702Z","metadata":{"doi":"10.25504/FAIRsharing.9091d9","name":"GEneral Multilingual Environmental Thesaurus","status":"ready","contacts":[{"contact_name":"Eionet Helpdesk","contact_email":"helpdesk@eionet.europa.eu"}],"homepage":"https://www.eionet.europa.eu/gemet/en/themes/","citations":[],"identifier":47,"description":"The GEneral Multilingual Environmental Thesaurus (GEMET) was created as a “general” environmental thesaurus, aimed to define a common general language with a core of general terminology for the environment. It is the reference vocabulary of the European Environment Agency (EEA) and its Network (Eionet).","abbreviation":"GEMET","support_links":[{"url":"https://www.eionet.europa.eu/gemet/en/about/","name":"About","type":"Help documentation"},{"url":"https://www.eionet.europa.eu/gemet/en/definition-sources/","name":"Definition Sources","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-001444","bsg-s001444"],"name":"FAIRsharing record for: GEneral Multilingual Environmental Thesaurus","abbreviation":"GEMET","url":"https://fairsharing.org/10.25504/FAIRsharing.9091d9","doi":"10.25504/FAIRsharing.9091d9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GEneral Multilingual Environmental Thesaurus (GEMET) was created as a “general” environmental thesaurus, aimed to define a common general language with a core of general terminology for the environment. It is the reference vocabulary of the European Environment Agency (EEA) and its Network (Eionet).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Ecology","Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 2.5 Denmark (CC BY 2.5 DK)","licence_id":160,"licence_url":"https://creativecommons.org/licenses/by/2.5/dk/deed.en","link_id":1750,"relation":"undefined"}],"grants":[{"id":4972,"fairsharing_record_id":47,"organisation_id":927,"relation":"funds","created_at":"2021-09-30T09:27:09.663Z","updated_at":"2021-09-30T09:27:09.663Z","grant_id":null,"is_lead":false,"saved_state":{"id":927,"name":"European Environment Agency (EEA)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4973,"fairsharing_record_id":47,"organisation_id":928,"relation":"maintains","created_at":"2021-09-30T09:27:09.696Z","updated_at":"2021-09-30T09:27:09.696Z","grant_id":null,"is_lead":true,"saved_state":{"id":928,"name":"European Environment Information and Observation Network (Eionet)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"48","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.226Z","metadata":{"doi":"10.25504/FAIRsharing.efv7gw","name":"HOMology","status":"ready","contacts":[{"contact_name":"Julien Roux","contact_email":"julien.roux@unil.ch","contact_orcid":"0000-0002-4192-5099"}],"homepage":"http://bioportal.bioontology.org/ontologies/HOM/?p=summary","identifier":48,"description":"This ontology represents concepts related to homology, as well as other concepts used to describe similarity and non-homology.","abbreviation":"HOM","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HOM","name":"HOM","portal":"BioPortal"}]},"legacy_ids":["bsg-000102","bsg-s000102"],"name":"FAIRsharing record for: HOMology","abbreviation":"HOM","url":"https://fairsharing.org/10.25504/FAIRsharing.efv7gw","doi":"10.25504/FAIRsharing.efv7gw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology represents concepts related to homology, as well as other concepts used to describe similarity and non-homology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Molecular entity","Homologous","Life cycle stage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":12,"pubmed_id":20116127,"title":"An ontology to clarify homology-related concepts.","year":2010,"url":"http://doi.org/10.1016/j.tig.2009.12.012","authors":"Roux J, Robinson-Rechavi M.","journal":"Trends Genet.","doi":"10.1016/j.tig.2009.12.012","created_at":"2021-09-30T08:22:21.797Z","updated_at":"2021-09-30T08:22:21.797Z"}],"licence_links":[],"grants":[{"id":4974,"fairsharing_record_id":48,"organisation_id":1257,"relation":"maintains","created_at":"2021-09-30T09:27:09.729Z","updated_at":"2021-09-30T09:27:09.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":1257,"name":"HOM administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"49","type":"fairsharing_records","attributes":{"created_at":"2017-11-10T13:28:29.000Z","updated_at":"2021-11-24T13:14:13.487Z","metadata":{"doi":"10.25504/FAIRsharing.zbmg97","name":"Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research","status":"ready","contacts":[{"contact_name":"Carl Lachat","contact_email":"carl.lachat@ugent.be","contact_orcid":"0000-0002-1389-8855"}],"homepage":"http://advances.nutrition.org/cgi/pmidlookup?view=long\u0026pmid=28916566","identifier":49,"description":"Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. To ensure interoperability of nutrition data systems, ENPADASI is developing an Ontology for Nutritional Studies (ONS). All descriptors of these study data characteristics will be made part of ONS and implemented as such in the research infrastructure. The descriptors for data quality will be mapped to existing or newly developed ontology terms. Integration of study quality characteristics with the ONS will enable the consideration of study quality during the querying of the nutrition research infrastructure and interoperability with other data systems.","abbreviation":null,"year_creation":2017},"legacy_ids":["bsg-001090","bsg-s001090"],"name":"FAIRsharing record for: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zbmg97","doi":"10.25504/FAIRsharing.zbmg97","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. To ensure interoperability of nutrition data systems, ENPADASI is developing an Ontology for Nutritional Studies (ONS). All descriptors of these study data characteristics will be made part of ONS and implemented as such in the research infrastructure. The descriptors for data quality will be mapped to existing or newly developed ontology terms. Integration of study quality characteristics with the ONS will enable the consideration of study quality during the querying of the nutrition research infrastructure and interoperability with other data systems.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12535}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Nutritional Science","Biomedical Science","Epidemiology"],"domains":["Diet"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","Denmark","Germany","Ireland","Italy","Netherlands","Poland","Spain"],"publications":[{"id":1949,"pubmed_id":28916566,"title":"Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research","year":2017,"url":"http://doi.org/10.3945/an.117.015651","authors":"Chen Yang, Mariona Pinart, Patrick Kolsteren, John Van Camp, Nathalie De Cock, Katharina Nimptsch, Tobias Pischon, Eamon Laird, Giuditta Perozzi, Raffaella Canali, Axelle Hoge,Marta Stelmach-Mardas, Lars Ove Dragsted, Stéphanie Maria Palombi, Irina Dobre, Jildau Bouwman, Peter Clarys, Fabio Minervini, Maria De Angelis, Marco Gobbetti, Jean Tafforeau, Oscar Coltell, Dolores Corella, Hendrik De Ruyck, Janette Walton, Laura Kehoe, Christophe Matthys, Bernard De Baets, Guy De Tré, Antoon Bronselaer, Angela Rivellese, Rosalba Giacco, Rosario Lombardo, Sofian De Clercq, Niels Hulstaert, and Carl Lachat","journal":"Advances in nutrition","doi":"https://doi.org/10.3945/an.117.015651.","created_at":"2021-09-30T08:25:59.340Z","updated_at":"2021-09-30T08:25:59.340Z"}],"licence_links":[],"grants":[{"id":4975,"fairsharing_record_id":49,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:27:09.767Z","updated_at":"2021-09-30T09:27:09.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"76","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-03T09:53:58.361Z","metadata":{"doi":"10.25504/FAIRsharing.8vv5fc","name":"Minimum Information About a Proteomics Experiment","status":"ready","contacts":[{"contact_name":"Juan Antonio Vizcaino","contact_email":"webmaster@psidev.info","contact_orcid":"0000-0002-3905-4335"}],"homepage":"http://www.psidev.info/miape","citations":[{"doi":"10.1038/nbt1329","pubmed_id":17687369,"publication_id":769}],"identifier":76,"description":"MIAPE attempts to define the minimum set of information about whole proteomics experiments that would be required by a public repository.","abbreviation":"MIAPE","support_links":[{"url":"Psidev-pi-dev@lists.sourceforge.net","name":"PSI mailing list","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIAPE.shtml","name":"Original MIBBI entry","type":"Help documentation"},{"url":"http://www.psidev.info/miape-docs","name":"MIAPE Documents","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000184","bsg-s000184"],"name":"FAIRsharing record for: Minimum Information About a Proteomics Experiment","abbreviation":"MIAPE","url":"https://fairsharing.org/10.25504/FAIRsharing.8vv5fc","doi":"10.25504/FAIRsharing.8vv5fc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAPE attempts to define the minimum set of information about whole proteomics experiments that would be required by a public repository.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11163},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11437},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11594},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12002}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Experimental measurement","Pathogen","Assay","Protocol","Study design","Protein","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Australia","Austria","Belgium","France","Germany","Ireland","Japan","Netherlands","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":769,"pubmed_id":17687369,"title":"The minimum information about a proteomics experiment (MIAPE).","year":2007,"url":"http://doi.org/10.1038/nbt1329","authors":"Taylor CF,Paton NW,Lilley KS et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt1329","created_at":"2021-09-30T08:23:44.753Z","updated_at":"2021-09-30T08:23:44.753Z"}],"licence_links":[],"grants":[{"id":5028,"fairsharing_record_id":76,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:11.832Z","updated_at":"2021-09-30T09:27:11.832Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5029,"fairsharing_record_id":76,"organisation_id":2380,"relation":"funds","created_at":"2021-09-30T09:27:11.865Z","updated_at":"2021-09-30T09:27:11.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ0lEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f99c1ac64eec32813bad87f6fee29d62456d1020/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"77","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T11:48:08.960Z","metadata":{"doi":"10.25504/FAIRsharing.4877h0","name":"Orthology Ontology","status":"ready","contacts":[{"contact_name":"Hirokazu Chiba","contact_email":"chiba@nibb.ac.jp"}],"homepage":"https://github.com/qfo/OrthologyOntology","citations":[],"identifier":77,"description":"ORTH ontology is designed to describe sequence homology data such as gene region, gene and protein-centric orthology, paralogy, and xenology information. Depending on the database, the homology information is structured in different ways. ORTH ontology accommodates these disparate data structures in a single terminology.","abbreviation":"ORTH","support_links":[{"url":"jfernand@um.es","name":"Jesualdo Toms Fernndez-Breis","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ORTH","name":"ORTH","portal":"BioPortal"}]},"legacy_ids":["bsg-001010","bsg-s001010"],"name":"FAIRsharing record for: Orthology Ontology","abbreviation":"ORTH","url":"https://fairsharing.org/10.25504/FAIRsharing.4877h0","doi":"10.25504/FAIRsharing.4877h0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ORTH ontology is designed to describe sequence homology data such as gene region, gene and protein-centric orthology, paralogy, and xenology information. Depending on the database, the homology information is structured in different ways. ORTH ontology accommodates these disparate data structures in a single terminology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Comparative Genomics"],"domains":["Protein","Sequence","Gene","Homologous","Orthologous","Paralogous"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3157,"pubmed_id":null,"title":"The Orthology Ontology: development and applications","year":2016,"url":"http://dx.doi.org/10.1186/s13326-016-0077-x","authors":"Fernández-Breis, Jesualdo Tomás; Chiba, Hirokazu; Legaz-García, María del Carmen; Uchiyama, Ikuo; ","journal":"J Biomed Semant","doi":"10.1186/s13326-016-0077-x","created_at":"2021-12-13T20:45:09.857Z","updated_at":"2021-12-13T20:45:09.857Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2535,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"60","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-11T12:16:34.846Z","metadata":{"doi":"10.25504/FAIRsharing.s3swh2","name":"Minimum Information about an fMRI Study","status":"ready","contacts":[{"contact_name":"Thomas Nichols","contact_email":"t.e.nichols@warwick.ac.uk","contact_orcid":"0000-0002-4516-5103"}],"homepage":"http://www.humanbrainmapping.org/COBIDASreport","citations":[{"doi":"10.1038/nn.4500","pubmed_id":28230846,"publication_id":950}],"identifier":60,"description":"The purpose of the Minimum Information about an fMRI Study guidelines is to elaborate the principles of open and reproducible research for neuroimaging using Magnetic Resonance Imaging (MRI), and then distil these principles to specific research practices. They were created to serve as a benchmark and to raise the standards of practice and reporting in neuroimaging using MRI. These reporting guidelines were developed by the Committee on Best Practices in Data Analysis and Sharing (COBIDAS) of the Organization for Human Brain Mapping.","abbreviation":"MIfMRI","support_links":[{"url":"https://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3728","name":"COBIDAS Committee Information Page","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000086","bsg-s000086"],"name":"FAIRsharing record for: Minimum Information about an fMRI Study","abbreviation":"MIfMRI","url":"https://fairsharing.org/10.25504/FAIRsharing.s3swh2","doi":"10.25504/FAIRsharing.s3swh2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of the Minimum Information about an fMRI Study guidelines is to elaborate the principles of open and reproducible research for neuroimaging using Magnetic Resonance Imaging (MRI), and then distil these principles to specific research practices. They were created to serve as a benchmark and to raise the standards of practice and reporting in neuroimaging using MRI. These reporting guidelines were developed by the Committee on Best Practices in Data Analysis and Sharing (COBIDAS) of the Organization for Human Brain Mapping.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11936}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Neuroscience"],"domains":["Annotation","Bioimaging","Medical imaging","Neuron","Magnetic resonance imaging","Biological sample","Assay","Material storage service","Data transformation","Brain","Brain imaging","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":950,"pubmed_id":28230846,"title":"Best practices in data analysis and sharing in neuroimaging using MRI.","year":2017,"url":"http://doi.org/10.1038/nn.4500","authors":"Nichols TE,Das S,Eickhoff SB,Evans AC,Glatard T,Hanke M,Kriegeskorte N,Milham MP,Poldrack RA,Poline JB,Proal E,Thirion B,Van Essen DC,White T,Yeo BT","journal":"Nat Neurosci","doi":"10.1038/nn.4500","created_at":"2021-09-30T08:24:05.130Z","updated_at":"2021-09-30T08:24:05.130Z"},{"id":1021,"pubmed_id":18191585,"title":"Guidelines for reporting an fMRI study.","year":2008,"url":"http://doi.org/S1053-8119(07)01102-0","authors":"Poldrack RA,Fletcher PC,Henson RN,Worsley KJ,Brett M,Nichols TE","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2007.11.048","created_at":"2021-09-30T08:24:13.073Z","updated_at":"2021-09-30T08:24:13.073Z"},{"id":3472,"pubmed_id":null,"title":"Best Practices in Data Analysis and Sharing in Neuroimaging using MRI","year":2016,"url":"http://dx.doi.org/10.1101/054262","authors":"Nichols, Thomas E.; Das, Samir; Eickhoff, Simon B.; Evans, Alan C.; Glatard, Tristan; Hanke, Michael; Kriegeskorte, Nikolaus; Milham, Michael P.; Poldrack, Russell A.; Poline, Jean-Baptiste; Proal, Erika; Thirion, Bertrand; Van Essen, David C.; White, Tonya; Yeo, B. T. Thomas; ","journal":"bioRxiv","doi":"10.1101/054262","created_at":"2022-07-11T12:13:48.945Z","updated_at":"2022-07-11T12:13:48.945Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2727,"relation":"applies_to_content"}],"grants":[{"id":4996,"fairsharing_record_id":60,"organisation_id":2274,"relation":"maintains","created_at":"2021-09-30T09:27:10.562Z","updated_at":"2022-07-11T12:14:08.776Z","grant_id":null,"is_lead":true,"saved_state":{"id":2274,"name":"Organization for Human Brain Mapping","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"61","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:08:48.931Z","metadata":{"doi":"10.25504/FAIRsharing.agvc7y","name":"C. elegans phenotype","status":"ready","contacts":[{"contact_name":"Gary Schindelman","contact_email":"garys@caltech.edu","contact_orcid":"0000-0001-7883-4388"}],"homepage":"https://wormbase.org/tools/ontology_browser#o_browser","identifier":61,"description":"A structured controlled vocabulary of Caenorhabditis elegans phenotypes .","abbreviation":"WB-PHENOTYPE","support_links":[{"url":"https://www.wormbase.org/tools/support?url=/","name":"Wormbase support","type":"Contact form"},{"url":"https://github.com/obophenotype/c-elegans-phenotype-ontology","name":"Github","type":"Github"}],"year_creation":2007,"cross_references":[{"url":"http://www.obofoundry.org/ontology/wbphenotype.html","name":"wbphenotype","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000130","bsg-s000130"],"name":"FAIRsharing record for: C. elegans phenotype","abbreviation":"WB-PHENOTYPE","url":"https://fairsharing.org/10.25504/FAIRsharing.agvc7y","doi":"10.25504/FAIRsharing.agvc7y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of Caenorhabditis elegans phenotypes .","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Phenotype"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1665,"pubmed_id":21261995,"title":"Worm Phenotype Ontology: integrating phenotype data within and beyond the C. elegans community.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-32","authors":"Schindelman G,Fernandes JS,Bastiani CA,Yook K,Sternberg PW","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-32","created_at":"2021-09-30T08:25:26.471Z","updated_at":"2021-09-30T08:25:26.471Z"}],"licence_links":[],"grants":[{"id":4998,"fairsharing_record_id":61,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:27:10.643Z","updated_at":"2021-09-30T09:27:10.643Z","grant_id":null,"is_lead":false,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9063,"fairsharing_record_id":61,"organisation_id":3174,"relation":"funds","created_at":"2022-03-29T17:23:01.976Z","updated_at":"2022-03-29T17:23:01.976Z","grant_id":652,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"P41HG0223","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"75","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-16T09:25:37.132Z","metadata":{"doi":"10.25504/FAIRsharing.kg1x4z","name":"Mammalian Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Susan M. Bello","contact_email":"susan.bello@jax.org","contact_orcid":"0000-0003-4606-0597"}],"homepage":"https://www.informatics.jax.org/vocab/mp_ontology/","citations":[],"identifier":75,"description":"The observable morphological, physiological, behavioral and other characteristics of mammalian organisms that are manifested through development and lifespan.","abbreviation":"MP","support_links":[{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","name":"User Support Contact Form","type":"Contact form"},{"url":"pheno@jax.org","name":"Support Email","type":"Support email"},{"url":"https://github.com/obophenotype/mammalian-phenotype-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://www.informatics.jax.org/phenotypes.shtml","name":"About Phenotypes and Mutant Alleles","type":"Help documentation"},{"url":"https://github.com/obophenotype/mammalian-phenotype-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2004,"associated_tools":[{"url":"http://www.informatics.jax.org/downloads/reports/index.html#pheno","name":"Mammalian Phenotype Ontology-Download Latest Version"},{"url":"https://github.com/mgijax/mammalian-phenotype-ontology","name":"Mammalian Phenotype Ontology GitHub page"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MP","name":"MP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mp.html","name":"MP","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000129","bsg-s000129"],"name":"FAIRsharing record for: Mammalian Phenotype Ontology","abbreviation":"MP","url":"https://fairsharing.org/10.25504/FAIRsharing.kg1x4z","doi":"10.25504/FAIRsharing.kg1x4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The observable morphological, physiological, behavioral and other characteristics of mammalian organisms that are manifested through development and lifespan.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10872},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11961}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science","Physiology"],"domains":["Behavior","Phenotype"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1677,"pubmed_id":15642099,"title":"The Mammalian Phenotype Ontology as a tool for annotating, analyzing and comparing phenotypic information.","year":2005,"url":"http://doi.org/10.1186/gb-2004-6-1-r7","authors":"Smith CL,Goldsmith CA,Eppig JT","journal":"Genome Biol","doi":"10.1186/gb-2004-6-1-r7","created_at":"2021-09-30T08:25:27.869Z","updated_at":"2021-09-30T08:25:27.869Z"},{"id":1834,"pubmed_id":20052305,"title":"The mammalian phenotype ontology: enabling robust annotation and comparative analysis.","year":2010,"url":"http://doi.org/10.1002/wsbm.44","authors":"Smith CL,Eppig JT","journal":"Wiley Interdiscip Rev Syst Biol Med","doi":"10.1002/wsbm.44","created_at":"2021-09-30T08:25:45.962Z","updated_at":"2021-09-30T08:25:45.962Z"},{"id":1842,"pubmed_id":22961259,"title":"The Mammalian Phenotype Ontology as a unifying standard for experimental and high-throughput phenotyping data.","year":2012,"url":"http://doi.org/10.1007/s00335-012-9421-3","authors":"Smith CL,Eppig JT","journal":"Mamm Genome","doi":"10.1007/s00335-012-9421-3","created_at":"2021-09-30T08:25:46.874Z","updated_at":"2021-09-30T08:25:46.874Z"},{"id":2662,"pubmed_id":25825651,"title":"Expanding the mammalian phenotype ontology to support automated exchange of high throughput mouse phenotyping data generated by large-scale mouse knockout screens.","year":2015,"url":"http://doi.org/10.1186/s13326-015-0009-1","authors":"Smith CL,Eppig JT","journal":"J Biomed Semantics","doi":"10.1186/s13326-015-0009-1","created_at":"2021-09-30T08:27:26.888Z","updated_at":"2021-09-30T08:27:26.888Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":655,"relation":"undefined"},{"licence_name":"MGI Warranty Disclaimer and Copyright Notice","licence_id":511,"licence_url":"http://www.informatics.jax.org/mgihome/other/copyright.shtml","link_id":654,"relation":"undefined"}],"grants":[{"id":5026,"fairsharing_record_id":75,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:27:11.757Z","updated_at":"2021-09-30T09:27:11.757Z","grant_id":null,"is_lead":true,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5027,"fairsharing_record_id":75,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:11.794Z","updated_at":"2021-09-30T09:32:06.069Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"92","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T09:31:11.071Z","metadata":{"doi":"10.25504/FAIRsharing.zvrep1","name":"Minimum Information about a MARKer gene Sequence","status":"ready","contacts":[{"contact_name":"Pelin Yilmaz","contact_email":"pyilmaz@mpi-bremen.de","contact_orcid":"0000-0003-4724-323X"}],"homepage":"https://www.nature.com/articles/nbt.1823","citations":[],"identifier":92,"description":"MIMARKS is the metadata reporting standard of the Genomic Standards Consortium that covers marker gene sequences from environmental surveys or individual organisms.","abbreviation":"MIxS - MIMARKS","support_links":[{"url":"developers@gensc.org","type":"Support email"},{"url":"http://mibbi.sourceforge.net/projects/MIMARKS.shtml","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000161","bsg-s000161"],"name":"FAIRsharing record for: Minimum Information about a MARKer gene Sequence","abbreviation":"MIxS - MIMARKS","url":"https://fairsharing.org/10.25504/FAIRsharing.zvrep1","doi":"10.25504/FAIRsharing.zvrep1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIMARKS is the metadata reporting standard of the Genomic Standards Consortium that covers marker gene sequences from environmental surveys or individual organisms.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11576},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11855},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11968}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Resource metadata","DNA sequence data","Deoxyribonucleic acid","Ribosomal RNA","Genetic marker"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":["Metadata standardization"],"countries":["Germany"],"publications":[{"id":236,"pubmed_id":21552244,"title":"Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications","year":2011,"url":"http://doi.org/10.1038/nbt.1823","authors":"Yilmaz P, Kottmann R, Field D, Knight R, Cole JR et al.","journal":"Nature Biotechnology","doi":"10.1038/nbt.1823","created_at":"2021-09-30T08:22:45.482Z","updated_at":"2021-09-30T08:22:45.482Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3322,"relation":"applies_to_content"}],"grants":[{"id":5065,"fairsharing_record_id":92,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:13.366Z","updated_at":"2021-09-30T09:27:13.366Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5068,"fairsharing_record_id":92,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:27:13.474Z","updated_at":"2021-09-30T09:27:13.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5064,"fairsharing_record_id":92,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:13.333Z","updated_at":"2021-09-30T09:27:13.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5066,"fairsharing_record_id":92,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:13.403Z","updated_at":"2021-09-30T09:27:13.403Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5067,"fairsharing_record_id":92,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:13.442Z","updated_at":"2023-09-06T13:27:13.911Z","grant_id":null,"is_lead":true,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9410,"fairsharing_record_id":92,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.457Z","updated_at":"2022-04-11T12:07:36.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"93","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:28.606Z","metadata":{"doi":"10.25504/FAIRsharing.hfgman","name":".ACE format","status":"ready","contacts":[{"contact_name":"David Gordon","contact_email":"gordon@genome.washington.edu"}],"homepage":"http://en.wikipedia.org/wiki/ACE_%28genomic_file_format%29","identifier":93,"description":"The ACE file format is a specification for storing data about genomic contigs. The original ACE format was developed for use with Consed, a program for viewing, editing, and finishing DNA sequence assemblies. ACE files are generated by various assembly programs, including Phrap, CAP3, Newbler, Arachne, AMOS (sequence assembly) (more specifically Minimo) and Tigr Assembler v2.","abbreviation":".ACE format","support_links":[{"url":"https://web.archive.org/web/20100609072313/http://bcr.musc.edu/manuals/CONSED.txt","type":"Help documentation"}]},"legacy_ids":["bsg-000297","bsg-s000297"],"name":"FAIRsharing record for: .ACE format","abbreviation":".ACE format","url":"https://fairsharing.org/10.25504/FAIRsharing.hfgman","doi":"10.25504/FAIRsharing.hfgman","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ACE file format is a specification for storing data about genomic contigs. The original ACE format was developed for use with Consed, a program for viewing, editing, and finishing DNA sequence assemblies. ACE files are generated by various assembly programs, including Phrap, CAP3, Newbler, Arachne, AMOS (sequence assembly) (more specifically Minimo) and Tigr Assembler v2.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Contig","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"94","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-16T11:20:16.899Z","metadata":{"doi":"10.25504/FAIRsharing.ca48xs","name":"Minimal Information About a Phylogenetic Analysis","status":"ready","contacts":[{"contact_name":"Jim Leebens-Mack","contact_email":"jleebensmack@plantbio.uga.edu"}],"homepage":"http://www.evoio.org/wiki/MIAPA","citations":[{"doi":"10.1089/omi.2006.10.231","pubmed_id":16901231,"publication_id":860}],"identifier":94,"description":"The Minimal Information About a Phylogenetic Analysis (MIAPA) ontology is an application ontology to formalize annotation of phylogenetic data according to the emerging Minimum Information About a Phylogenetic Analysis (MIAPA) metadata reporting standard.","abbreviation":"MIAPA","support_links":[{"url":"http://groups.google.com/group/miapa-discuss","type":"Forum"},{"url":"https://github.com/miapa/miapa/blob/master/checklist/MIAPA-checklist.md","type":"Github"},{"url":"http://mibbi.sourceforge.net/projects/MIAPA.shtml","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/miapa","name":"MIAPA (OLS)","portal":"OLS"},{"url":"https://bioregistry.io/registry/miapa","name":"miapa (Bioregistry)","portal":"Other"},{"url":"https://obofoundry.org/ontology/miapa.html","name":"MIAPA Ontology (OBO)","portal":"OBO Foundry"},{"url":"https://bioportal.bioontology.org/ontologies/MIAPA","name":"MIAPA Ontology (BioPortal)","portal":"BioPortal"}]},"legacy_ids":["bsg-000181","bsg-s000181"],"name":"FAIRsharing record for: Minimal Information About a Phylogenetic Analysis","abbreviation":"MIAPA","url":"https://fairsharing.org/10.25504/FAIRsharing.ca48xs","doi":"10.25504/FAIRsharing.ca48xs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimal Information About a Phylogenetic Analysis (MIAPA) ontology is an application ontology to formalize annotation of phylogenetic data according to the emerging Minimum Information About a Phylogenetic Analysis (MIAPA) metadata reporting standard.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11592},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11999}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Phylogeny","Phylogenetics","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Data transformation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":860,"pubmed_id":16901231,"title":"Taking the first steps towards a standard for reporting on phylogenies: Minimum Information About a Phylogenetic Analysis (MIAPA).","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.231","authors":"Leebens-Mack J,Vision T,Brenner E,Bowers JE,Cannon S,Clement MJ,Cunningham CW,dePamphilis C,deSalle R,Doyle JJ,Eisen JA,Gu X,Harshman J,Jansen RK,Kellogg EA,Koonin EV,Mishler BD,Philippe H,Pires JC,Qiu YL,Rhee SY,Sjolander K,Soltis DE,Soltis PS,Stevenson DW,Wall K,Warnow T,Zmasek C","journal":"OMICS","doi":"10.1089/omi.2006.10.231","created_at":"2021-09-30T08:23:55.013Z","updated_at":"2021-09-30T08:23:55.013Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"95","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:23.861Z","metadata":{"doi":"10.25504/FAIRsharing.pvdrmz","name":"Minimum Information About a Microarray Experiment involving Plants","status":"ready","contacts":[{"contact_name":"Gaurab Mukherjee","contact_email":"gaurab@ebi.ac.uk"}],"homepage":"http://miame-plant.sourceforge.net/","identifier":95,"description":"MIAME/Plant is a standard describing which biological details should be captured for describing microarray experiments involving plants. Detailed information is required about biological aspects such as growth conditions, harvesting time or harvested organ(s).","abbreviation":"MIAME/Plant","year_creation":2006},"legacy_ids":["bsg-000182","bsg-s000182"],"name":"FAIRsharing record for: Minimum Information About a Microarray Experiment involving Plants","abbreviation":"MIAME/Plant","url":"https://fairsharing.org/10.25504/FAIRsharing.pvdrmz","doi":"10.25504/FAIRsharing.pvdrmz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME/Plant is a standard describing which biological details should be captured for describing microarray experiments involving plants. Detailed information is required about biological aspects such as growth conditions, harvesting time or harvested organ(s).","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11586},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11988},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12430}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Transcriptomics"],"domains":["Expression data","Deoxyribonucleic acid","Ribonucleic acid","Nucleic acid hybridization","DNA microarray","Genome"],"taxonomies":["Plantae"],"user_defined_tags":["Cistrome"],"countries":["Switzerland","United Kingdom","United States"],"publications":[{"id":849,"pubmed_id":16401339,"title":"MIAME/Plant - adding value to plant microarrray experiments.","year":2006,"url":"http://doi.org/10.1186/1746-4811-2-1","authors":"Zimmermann P,Schildknecht B,Craigon D,Garcia-Hernandez M,Gruissem W,May S,Mukherjee G,Parkinson H,Rhee S,Wagner U,Hennig L","journal":"Plant Methods","doi":"10.1186/1746-4811-2-1","created_at":"2021-09-30T08:23:53.647Z","updated_at":"2021-09-30T08:23:53.647Z"},{"id":1703,"pubmed_id":16219923,"title":"Plant-based microarray data at the European Bioinformatics Institute. Introducing AtMIAMExpress, a submission tool for Arabidopsis gene expression data to ArrayExpress.","year":2005,"url":"http://doi.org/10.1104/pp.105.063156","authors":"Mukherjee G,Abeygunawardena N,Parkinson H,Contrino S,Durinck S,Farne A,Holloway E,Lilja P,Moreau Y,Oezcimen A,Rayner T,Sharma A,Brazma A,Sarkans U,Shojatalab M","journal":"Plant Physiol","doi":"10.1104/pp.105.063156","created_at":"2021-09-30T08:25:30.847Z","updated_at":"2021-09-30T08:25:30.847Z"}],"licence_links":[],"grants":[{"id":9227,"fairsharing_record_id":95,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.848Z","updated_at":"2022-04-11T12:07:23.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"84","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:50.194Z","metadata":{"doi":"10.25504/FAIRsharing.b7z8by","name":"Digital Imaging and COmmunications in Medicine","status":"ready","contacts":[{"contact_name":"DICOM Help","contact_email":"dicom@medicalimaging.org"}],"homepage":"http://medical.nema.org/","identifier":84,"description":"DICOM — Digital Imaging and Communications in Medicine — is the international standard for medical images and related information (ISO 12052). It defines the formats for medical images that can be exchanged with the data and quality necessary for clinical use. DICOM is implemented in almost every radiology, cardiology imaging, and radiotherapy device (X-ray, CT, MRI, ultrasound, etc.), and increasingly in devices in other medical domains such as ophthalmology and dentistry. With tens of thousands of imaging devices in use, DICOM is one of the most widely deployed healthcare messaging standards in the world. There are literally billions of DICOM images currently in use for clinical care. Since its first publication in 1993, DICOM has revolutionized the practice of radiology, allowing the replacement of X-ray film with a fully digital workflow. Much as the Internet has become the platform for new consumer information applications, DICOM has enabled advanced medical imaging applications that have “changed the face of clinical medicine”. From the emergency department, to cardiac stress testing, to breast cancer detection, DICOM is the standard that makes medical imaging work — for doctors and for patients.","abbreviation":"DICOM","support_links":[{"url":"dicom@medicalimaging.org","type":"Support email"},{"url":"http://dicom.nema.org/dicom/faqs.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://dicom.nema.org/handbook.html","type":"Help documentation"},{"url":"comp.protocols.dicom@googlegroups.com","type":"Mailing list"},{"url":"http://dicom.nema.org/standard.html","type":"Help documentation"},{"url":"http://dicom.nema.org/dicom/geninfo/Brochure.pdf","type":"Help documentation"},{"url":"http://dicom.nema.org/standard.html","type":"Help documentation"}],"year_creation":1993,"associated_tools":[{"url":"http://www.idoimaging.com/","name":"DICOM software"}]},"legacy_ids":["bsg-000114","bsg-s000114"],"name":"FAIRsharing record for: Digital Imaging and COmmunications in Medicine","abbreviation":"DICOM","url":"https://fairsharing.org/10.25504/FAIRsharing.b7z8by","doi":"10.25504/FAIRsharing.b7z8by","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DICOM — Digital Imaging and Communications in Medicine — is the international standard for medical images and related information (ISO 12052). It defines the formats for medical images that can be exchanged with the data and quality necessary for clinical use. DICOM is implemented in almost every radiology, cardiology imaging, and radiotherapy device (X-ray, CT, MRI, ultrasound, etc.), and increasingly in devices in other medical domains such as ophthalmology and dentistry. With tens of thousands of imaging devices in use, DICOM is one of the most widely deployed healthcare messaging standards in the world. There are literally billions of DICOM images currently in use for clinical care. Since its first publication in 1993, DICOM has revolutionized the practice of radiology, allowing the replacement of X-ray film with a fully digital workflow. Much as the Internet has become the platform for new consumer information applications, DICOM has enabled advanced medical imaging applications that have “changed the face of clinical medicine”. From the emergency department, to cardiac stress testing, to breast cancer detection, DICOM is the standard that makes medical imaging work — for doctors and for patients.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17322},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12201},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16901}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Anatomy","Medicine","Biomedical Science"],"domains":["Imaging","Functional magnetic resonance imaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":991,"pubmed_id":23404629,"title":"Multi-series DICOM: an extension of DICOM that stores a whole study in a single object.","year":2013,"url":"http://doi.org/10.1007/s10278-013-9577-8","authors":"Ismail M,Philbin J","journal":"J Digit Imaging","doi":"10.1007/s10278-013-9577-8","created_at":"2021-09-30T08:24:09.691Z","updated_at":"2021-09-30T08:24:09.691Z"},{"id":1400,"pubmed_id":16223609,"title":"DICOM demystified: a review of digital file formats and their use in radiological practice.","year":2005,"url":"http://doi.org/10.1016/j.crad.2005.07.003","authors":"Graham RN,Perriss RW,Scarsbrook AF","journal":"Clin Radiol","doi":"10.1016/j.crad.2005.07.003","created_at":"2021-09-30T08:24:56.551Z","updated_at":"2021-09-30T08:24:56.551Z"}],"licence_links":[],"grants":[{"id":5049,"fairsharing_record_id":84,"organisation_id":2113,"relation":"maintains","created_at":"2021-09-30T09:27:12.757Z","updated_at":"2021-09-30T09:27:12.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":2113,"name":"NEMA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"86","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:31:33.734Z","metadata":{"doi":"10.25504/FAIRsharing.m3wzgs","name":"Fly taxonomy","status":"deprecated","contacts":[{"contact_name":"Helpmail","contact_email":"helpfb@morgan.harvard.edu"}],"homepage":"http://flybase.org/static_pages/allied-data/phylogeny/Drosophilidae-Tree/Drosophilidae.html","identifier":86,"description":"\"Fly taxonomy\" provides taxonomic information about the Fruit fly family (Drosophilidae). This information is a combination of NCBI TAXON data and from the following paper: Grimaldi, D.A.\"A phylogenetic, revised classification of Genera in the Drosophilidae (Diptera)\" Bulletin of the American Museum of Natural History. New York: New York . American Museum of Natural History, 1990.","abbreviation":"FBsp","support_links":[{"url":"http://flybase.org/cgi-bin/mailto-fbhelp.html","type":"Contact form"},{"url":"https://twitter.com/flybasedotorg","type":"Twitter"}],"year_creation":2000,"deprecation_date":"2019-07-22","deprecation_reason":"Deprecated after correspondence with FlyBase revealed this ontology was never adopted as a standard. FlyBase do not believe this standard has ever been in use."},"legacy_ids":["bsg-000152","bsg-s000152"],"name":"FAIRsharing record for: Fly taxonomy","abbreviation":"FBsp","url":"https://fairsharing.org/10.25504/FAIRsharing.m3wzgs","doi":"10.25504/FAIRsharing.m3wzgs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Fly taxonomy\" provides taxonomic information about the Fruit fly family (Drosophilidae). This information is a combination of NCBI TAXON data and from the following paper: Grimaldi, D.A.\"A phylogenetic, revised classification of Genera in the Drosophilidae (Diptera)\" Bulletin of the American Museum of Natural History. New York: New York . American Museum of Natural History, 1990.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Taxonomic classification"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1765,"pubmed_id":26467478,"title":"FlyBase: establishing a Gene Group resource for Drosophila melanogaster.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1046","authors":"Attrill H,Falls K,Goodman JL,Millburn GH,Antonazzo G,Rey AJ,Marygold SJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1046","created_at":"2021-09-30T08:25:38.019Z","updated_at":"2021-09-30T11:29:19.570Z"}],"licence_links":[],"grants":[{"id":5054,"fairsharing_record_id":86,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:12.961Z","updated_at":"2021-09-30T09:27:12.961Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5056,"fairsharing_record_id":86,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:13.045Z","updated_at":"2021-09-30T09:30:37.677Z","grant_id":796,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"U41HG000739","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5055,"fairsharing_record_id":86,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:13.002Z","updated_at":"2021-09-30T09:27:13.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11849,"fairsharing_record_id":86,"organisation_id":713,"relation":"maintains","created_at":"2024-06-26T13:07:02.241Z","updated_at":"2024-06-26T13:07:02.241Z","grant_id":null,"is_lead":false,"saved_state":{"id":713,"name":"Department of Genetics, University of Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"87","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-07-20T11:07:38.245Z","metadata":{"doi":"10.25504/FAIRsharing.zn05ta","name":"Parkinson's Disease Ontology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de","contact_orcid":"0000-0001-8793-2692"}],"homepage":"http://bioportal.bioontology.org/ontologies/PDON","identifier":87,"description":"The Parkinson's Disease Ontology (PDO) was created to represent and model the Parkinson's Disease knowledge domain. This ontology with a covers major biomedical concepts from molecular to clinical features of the disease as well as the different views on disease features held by molecular biologists, clinicians and drug developers. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","abbreviation":"PDON","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDON","name":"PDON","portal":"BioPortal"}]},"legacy_ids":["bsg-000932","bsg-s000932"],"name":"FAIRsharing record for: Parkinson's Disease Ontology","abbreviation":"PDON","url":"https://fairsharing.org/10.25504/FAIRsharing.zn05ta","doi":"10.25504/FAIRsharing.zn05ta","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Parkinson's Disease Ontology (PDO) was created to represent and model the Parkinson's Disease knowledge domain. This ontology with a covers major biomedical concepts from molecular to clinical features of the disease as well as the different views on disease features held by molecular biologists, clinicians and drug developers. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Molecular biology","Biomedical Science","Preclinical Studies"],"domains":["Parkinson's disease","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","Germany","United Kingdom"],"publications":[{"id":2039,"pubmed_id":26395080,"title":"PDON: Parkinson's disease ontology for representation and modeling of the Parkinson's disease knowledge domain.","year":2015,"url":"http://doi.org/10.1186/s12976-015-0017-y","authors":"Younesi E,Malhotra A,Gundel M,Scordis P,Kodamullil AT,Page M,Muller B,Springstubbe S,Wullner U,Scheller D,Hofmann-Apitius M","journal":"Theor Biol Med Model","doi":"10.1186/s12976-015-0017-y","created_at":"2021-09-30T08:26:09.656Z","updated_at":"2021-09-30T08:26:09.656Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1368,"relation":"undefined"}],"grants":[{"id":5057,"fairsharing_record_id":87,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:13.082Z","updated_at":"2021-09-30T09:27:13.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"96","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:28.953Z","metadata":{"doi":"10.25504/FAIRsharing.32b10v","name":"Minimum Information About a Microarray Experiment","status":"ready","contacts":[{"contact_name":"Alvis Brazma","contact_email":"brazma@ebi.ac.uk","contact_orcid":"0000-0001-5988-7409"}],"homepage":"http://www.fged.org/projects/miame/","identifier":96,"description":"MIAME is intended to specify all the information necessary for an unambiguous interpretation of a microarray experiment, and potentially to reproduce it. MIAME defines the content but not the format for this information.","abbreviation":"MIAME","support_links":[{"url":"https://www.facebook.com/FGED.Society","name":"FGED Society Facebook","type":"Facebook"},{"url":"http://www.fged.org/about-us/","name":"Contact Form","type":"Contact form"},{"url":"http://discuss.fged.org/","name":"Forum","type":"Forum"},{"url":"http://announce.fged.org/","name":"Announcements Mailing List","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIAME.shtml","name":"MIBBI (old)","type":"Help documentation"},{"url":"https://www.slideshare.net/FGED/","name":"Slideshare Functional Genomics Data Society","type":"Help documentation"},{"url":"https://www.youtube.com/user/fgedsociety/","name":"fgedsociety Youtube","type":"Video"},{"url":"https://twitter.com/FGED","name":"@FGED","type":"Twitter"}],"year_creation":1999,"associated_tools":[{"url":"https://www.ebi.ac.uk/fg/annotare","name":"Annotare"}]},"legacy_ids":["bsg-000177","bsg-s000177"],"name":"FAIRsharing record for: Minimum Information About a Microarray Experiment","abbreviation":"MIAME","url":"https://fairsharing.org/10.25504/FAIRsharing.32b10v","doi":"10.25504/FAIRsharing.32b10v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME is intended to specify all the information necessary for an unambiguous interpretation of a microarray experiment, and potentially to reproduce it. MIAME defines the content but not the format for this information.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18270},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11000},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11157},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11585},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11985},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12428},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16716}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Transcriptomics"],"domains":["Expression data","Experimental measurement","Deoxyribonucleic acid","Ribonucleic acid","Nucleic acid hybridization","DNA microarray","Study design","Experimentally determined","Genome"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Belgium","France","Germany","Netherlands","United Kingdom","United States"],"publications":[{"id":1311,"pubmed_id":19484163,"title":"Minimum Information About a Microarray Experiment (MIAME)--successes, failures, challenges.","year":2009,"url":"http://doi.org/10.1100/tsw.2009.57","authors":"Brazma A","journal":"ScientificWorldJournal","doi":"10.1100/tsw.2009.57","created_at":"2021-09-30T08:24:46.376Z","updated_at":"2021-09-30T08:24:46.376Z"},{"id":2332,"pubmed_id":11726920,"title":"Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.","year":2001,"url":"http://doi.org/10.1038/ng1201-365","authors":"Brazma A,Hingamp P,Quackenbush J,Sherlock G,Spellman P,Stoeckert C,Aach J,Ansorge W,Ball CA,Causton HC,Gaasterland T,Glenisson P,Holstege FC,Kim IF,Markowitz V,Matese JC,Parkinson H,Robinson A,Sarkans U,Schulze-Kremer S,Stewart J,Taylor R,Vilo J,Vingron M","journal":"Nat Genet","doi":"10.1038/ng1201-365","created_at":"2021-09-30T08:26:46.368Z","updated_at":"2021-09-30T08:26:46.368Z"}],"licence_links":[],"grants":[{"id":5072,"fairsharing_record_id":96,"organisation_id":1070,"relation":"maintains","created_at":"2021-09-30T09:27:13.634Z","updated_at":"2021-09-30T09:27:13.634Z","grant_id":null,"is_lead":true,"saved_state":{"id":1070,"name":"Functional Genomics Data Society (FGED)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5073,"fairsharing_record_id":96,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:13.672Z","updated_at":"2021-09-30T09:27:13.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5074,"fairsharing_record_id":96,"organisation_id":851,"relation":"funds","created_at":"2021-09-30T09:27:13.714Z","updated_at":"2021-09-30T09:27:13.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":851,"name":"EMBL-EBI Industry Programme, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5075,"fairsharing_record_id":96,"organisation_id":829,"relation":"funds","created_at":"2021-09-30T09:27:13.756Z","updated_at":"2021-09-30T09:27:13.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":829,"name":"EGL Charitable Foundation, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5076,"fairsharing_record_id":96,"organisation_id":1324,"relation":"funds","created_at":"2021-09-30T09:27:13.796Z","updated_at":"2021-09-30T09:27:13.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":1324,"name":"Incyte Genomics, Wilmington, DE, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":5077,"fairsharing_record_id":96,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:13.835Z","updated_at":"2021-09-30T09:27:13.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"97","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:14.743Z","metadata":{"doi":"10.25504/FAIRsharing.n7nqde","name":"Minimal Information About T Cell Assays","status":"ready","contacts":[{"contact_name":"Sylvia Janetzki","contact_email":"sylvia@zellnet.com"}],"homepage":"http://miataproject.org/","identifier":97,"description":"MIATA (Minimal Information About T cell Assays) enables an objective and thorough interpretation of published results from T cell assays. Due to the high similarity between T cell assays and NK cell assays the concept has been expanded to include the Minimal Information About NK cell Assays (MIANKA).","abbreviation":"MIATA","support_links":[{"url":"http://miataproject.org/wp-content/uploads/2013/09/MIATA-Guidelines-Download.pdf","type":"Help documentation"},{"url":"http://miataproject.org/wp-content/uploads/2014/02/MIATA-MIANKA-checklist.pdf","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000189","bsg-s000189"],"name":"FAIRsharing record for: Minimal Information About T Cell Assays","abbreviation":"MIATA","url":"https://fairsharing.org/10.25504/FAIRsharing.n7nqde","doi":"10.25504/FAIRsharing.n7nqde","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIATA (Minimal Information About T cell Assays) enables an objective and thorough interpretation of published results from T cell assays. Due to the high similarity between T cell assays and NK cell assays the concept has been expanded to include the Minimal Information About NK cell Assays (MIANKA).","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10875},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11588},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11990}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunology","Biomedical Science"],"domains":["T cell","Immunity","Assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","Netherlands","Switzerland","United Kingdom","United States"],"publications":[{"id":853,"pubmed_id":19833080,"title":"\"MIATA\"-minimal information about T cell assays.","year":2009,"url":"http://doi.org/10.1016/j.immuni.2009.09.007","authors":"Janetzki S,Britten CM,Kalos M,Levitsky HI,Maecker HT,Melief CJ,Old LJ,Romero P,Hoos A,Davis MM","journal":"Immunity","doi":"10.1016/j.immuni.2009.09.007","created_at":"2021-09-30T08:23:54.146Z","updated_at":"2021-09-30T08:23:54.146Z"}],"licence_links":[],"grants":[{"id":5078,"fairsharing_record_id":97,"organisation_id":1844,"relation":"maintains","created_at":"2021-09-30T09:27:13.867Z","updated_at":"2021-09-30T09:27:13.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1844,"name":"Minimal Information About T cell Assays (MIATA) consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"98","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.167Z","metadata":{"doi":"10.25504/FAIRsharing.ckjmt3","name":"Binary sequence information Format","status":"ready","homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format7","identifier":98,"description":"A .2bit file stores multiple DNA sequences (up to 4 Gb total) in a compact randomly-accessible format. The file contains masking information as well as the DNA itself. The DNA sequence is represented as two bits per pixel with associated list of regions containing N's, and masked regions.","abbreviation":"2bit","support_links":[{"url":"http://genome-source.cse.ucsc.edu/gitweb/?p=kent.git;a=blob_plain;f=src/inc/twoBit.h;hb=HEAD","name":"Source Code","type":"Help documentation"}]},"legacy_ids":["bsg-000205","bsg-s000205"],"name":"FAIRsharing record for: Binary sequence information Format","abbreviation":"2bit","url":"https://fairsharing.org/10.25504/FAIRsharing.ckjmt3","doi":"10.25504/FAIRsharing.ckjmt3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A .2bit file stores multiple DNA sequences (up to 4 Gb total) in a compact randomly-accessible format. The file contains masking information as well as the DNA itself. The DNA sequence is represented as two bits per pixel with associated list of regions containing N's, and masked regions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5079,"fairsharing_record_id":98,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:13.891Z","updated_at":"2021-09-30T09:27:13.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"99","type":"fairsharing_records","attributes":{"created_at":"2020-01-28T11:43:49.000Z","updated_at":"2022-07-20T12:46:56.243Z","metadata":{"doi":"10.25504/FAIRsharing.6dba71","name":"GeoNames Ontology","status":"ready","contacts":[{"contact_name":"Marc Wick","contact_email":"marc@geonames.org"}],"homepage":"http://www.geonames.org/ontology/documentation.html","identifier":99,"description":"The GeoNames Ontology makes it possible to add geospatial semantic information to the Word Wide Web. It maps to the DB schema that is used by GeoNames data export.","abbreviation":"GeoNames Ontology","support_links":[{"url":"https://web.archive.org/web/20080212144050/http://www.geospatialsemanticweb.com/2006/10/14/geonames-ontology-in-owl","name":"About GeoNames Ontology (blog post)","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-001440","bsg-s001440"],"name":"FAIRsharing record for: GeoNames Ontology","abbreviation":"GeoNames Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.6dba71","doi":"10.25504/FAIRsharing.6dba71","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GeoNames Ontology makes it possible to add geospatial semantic information to the Word Wide Web. It maps to the DB schema that is used by GeoNames data export.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography","Geoinformatics"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1731,"relation":"undefined"}],"grants":[{"id":5080,"fairsharing_record_id":99,"organisation_id":1124,"relation":"maintains","created_at":"2021-09-30T09:27:13.916Z","updated_at":"2021-09-30T09:27:13.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":1124,"name":"GeoNames Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"100","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T09:28:34.520Z","metadata":{"doi":"10.25504/FAIRsharing.va1hck","name":"Minimum Information about a (Meta)Genome Sequence","status":"ready","contacts":[{"contact_name":"Chris Hunter","contact_email":"only1chunts@gmail.com","contact_orcid":"0000-0002-1335-0881"},{"contact_name":"GSC-compliance and interoperability group","contact_email":"gensc-cig@googlegroups.com","contact_orcid":null}],"homepage":"http://w3id.org/mixs","citations":[],"identifier":100,"description":"MIGS/MIMS (Minimum Information About a (Meta)Genome Sequence) outlines a conceptual structure for extending the core information that has been traditionally captured by the INSDC (DDBJ/EMBL/Genbank) to describe genomic and metagenomic sequences. The MIMS extension describes key aspects of environmental context.","abbreviation":"MIxS - MIGS/MIMS","support_links":[{"url":"http://gensc.org/","type":"Help documentation"},{"url":"https://github.com/genomicsStandardsConsortium/mixs","name":"GSC-MIxS ","type":"Github"},{"url":"https://genomicsstandardsconsortium.github.io/mixs/","name":"GSC-MIxS support docs","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000172","bsg-s000172"],"name":"FAIRsharing record for: Minimum Information about a (Meta)Genome Sequence","abbreviation":"MIxS - MIGS/MIMS","url":"https://fairsharing.org/10.25504/FAIRsharing.va1hck","doi":"10.25504/FAIRsharing.va1hck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIGS/MIMS (Minimum Information About a (Meta)Genome Sequence) outlines a conceptual structure for extending the core information that has been traditionally captured by the INSDC (DDBJ/EMBL/Genbank) to describe genomic and metagenomic sequences. The MIMS extension describes key aspects of environmental context.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11574},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11854},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11966}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Metagenome","Genome"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["United Kingdom","United States","Worldwide","European Union"],"publications":[{"id":844,"pubmed_id":18464787,"title":"The minimum information about a genome sequence (MIGS) specification.","year":2008,"url":"http://doi.org/10.1038/nbt1360","authors":"Field D,Garrity G,Gray T,Morrison N,Selengut J,Sterk P,Tatusova T,Thomson N,Allen MJ,Angiuoli SV,Ashburner M,Axelrod N,Baldauf S,Ballard S,Boore J,Cochrane G,Cole J,Dawyndt P,De Vos P,DePamphilis C,Edwards R,Faruque N,Feldman R,Gilbert J,Gilna P,Glockner FO,Goldstein P,Guralnick R,Haft D,Hancock D,Hermjakob H,Hertz-Fowler C,Hugenholtz P,Joint I,Kagan L,Kane M,Kennedy J,Kowalchuk G,Kottmann R,Kolker E,Kravitz S,Kyrpides N,Leebens-Mack J,Lewis SE,Li K,Lister AL,Lord P,Maltsev N,Markowitz V,Martiny J,Methe B,Mizrachi I,Moxon R,Nelson K,Parkhill J,Proctor L,White O,Sansone SA,Spiers A,Stevens R,Swift P,Taylor C,Tateno Y,Tett A,Turner S,Ussery D,Vaughan B,Ward N,Whetzel T,San Gil I,Wilson G,Wipat A","journal":"Nat Biotechnol","doi":"10.1038/nbt1360","created_at":"2021-09-30T08:23:53.146Z","updated_at":"2021-09-30T08:23:53.146Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3602,"relation":"applies_to_content"}],"grants":[{"id":5081,"fairsharing_record_id":100,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:27:13.946Z","updated_at":"2021-09-30T09:27:13.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5084,"fairsharing_record_id":100,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:14.146Z","updated_at":"2021-09-30T09:27:14.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5082,"fairsharing_record_id":100,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:13.989Z","updated_at":"2021-09-30T09:27:13.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5083,"fairsharing_record_id":100,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:14.106Z","updated_at":"2021-09-30T09:27:14.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5085,"fairsharing_record_id":100,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:14.189Z","updated_at":"2021-09-30T09:27:14.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5086,"fairsharing_record_id":100,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:27:14.226Z","updated_at":"2021-09-30T09:27:14.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"88","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:09.596Z","metadata":{"doi":"10.25504/FAIRsharing.ngv2xx","name":"Apollo-SV","status":"ready","contacts":[{"contact_name":"William Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":"0000-0002-9881-1017"}],"homepage":"http://purl.obolibrary.org/obo/apollo_sv.owl","identifier":88,"description":"An ontology of infectious disease epidemiology and ecology (a.k.a. population biology).","abbreviation":"Apollo-SV","support_links":[{"url":"https://github.com/ApolloDev/apollo-sv","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/APOLLO-SV","name":"APOLLO-SV","portal":"BioPortal"}]},"legacy_ids":["bsg-002688","bsg-s002688"],"name":"FAIRsharing record for: Apollo-SV","abbreviation":"Apollo-SV","url":"https://fairsharing.org/10.25504/FAIRsharing.ngv2xx","doi":"10.25504/FAIRsharing.ngv2xx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of infectious disease epidemiology and ecology (a.k.a. population biology).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12453}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Ecology","Biomedical Science","Epidemiology","Population Genetics"],"domains":["Pathogen","Infection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1773,"pubmed_id":24551417,"title":"Apollo: giving application developers a single point of access to public health models using structured vocabularies and Web services.","year":2014,"url":"https://www.ncbi.nlm.nih.gov/pubmed/24551417","authors":"Wagner MM,Levander JD,Brown S,Hogan WR,Millett N,Hanna J","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:25:38.972Z","updated_at":"2021-09-30T08:25:38.972Z"},{"id":1988,"pubmed_id":27538448,"title":"The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0092-y","authors":"Hogan WR,Wagner MM,Brochhausen M,Levander J,Brown ST,Millett N,DePasse J,Hanna J","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0092-y","created_at":"2021-09-30T08:26:03.782Z","updated_at":"2021-09-30T08:26:03.782Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":206,"relation":"undefined"}],"grants":[{"id":5058,"fairsharing_record_id":88,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:13.116Z","updated_at":"2021-09-30T09:30:01.206Z","grant_id":516,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"UL1TR000064","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5060,"fairsharing_record_id":88,"organisation_id":102,"relation":"maintains","created_at":"2021-09-30T09:27:13.182Z","updated_at":"2021-09-30T09:27:13.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":102,"name":"Apollo Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5059,"fairsharing_record_id":88,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:13.150Z","updated_at":"2021-09-30T09:30:09.896Z","grant_id":580,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01GM101151","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8029,"fairsharing_record_id":88,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:30:29.787Z","updated_at":"2021-09-30T09:30:29.833Z","grant_id":735,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"UL1TR000039","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8351,"fairsharing_record_id":88,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:32:14.059Z","updated_at":"2021-09-30T09:32:14.149Z","grant_id":1528,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"UL1TR001427","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"89","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:24:04.000Z","updated_at":"2022-10-10T19:28:32.586Z","metadata":{"doi":"10.25504/FAIRsharing.ctqJoR","name":"Inist Periodic Table of the Elements Trilingual Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/8HQ/en/","citations":[],"identifier":89,"description":"This trilingual thesaurus (French, English, Spanish) deals with the 118 chemical elements of the periodic table recognized by the IUPAC. It is aligned with ChEBI, wikidata, wikipedia, DBpedia.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001412","bsg-s001412"],"name":"FAIRsharing record for: Inist Periodic Table of the Elements Trilingual Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ctqJoR","doi":"10.25504/FAIRsharing.ctqJoR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This trilingual thesaurus (French, English, Spanish) deals with the 118 chemical elements of the periodic table recognized by the IUPAC. It is aligned with ChEBI, wikidata, wikipedia, DBpedia.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11295}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry"],"domains":["Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":["chemical element"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1681,"relation":"undefined"}],"grants":[{"id":5061,"fairsharing_record_id":89,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:13.220Z","updated_at":"2021-09-30T09:27:13.220Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"90","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-01-06T09:09:14.249Z","metadata":{"doi":"10.25504/FAIRsharing.a1j1a7","name":"Pre-eclampsia Ontology","status":"ready","contacts":[{"contact_name":"Satoshi Mizuno","contact_email":"samizuno@med.tohoku.ac.jp"}],"homepage":"http://bioportal.bioontology.org/ontologies/PE-O","citations":[{"doi":"10.1371/journal.pone.0162828","pubmed_id":null,"publication_id":3173}],"identifier":90,"description":"The PEO incorporates a wide range of key concepts and terms of PE from clinical and biomedical research in structuring the knowledge base that is specific to PE.","abbreviation":"PE-O","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PE-O","name":"PE-O","portal":"BioPortal"}]},"legacy_ids":["bsg-000763","bsg-s000763"],"name":"FAIRsharing record for: Pre-eclampsia Ontology","abbreviation":"PE-O","url":"https://fairsharing.org/10.25504/FAIRsharing.a1j1a7","doi":"10.25504/FAIRsharing.a1j1a7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PEO incorporates a wide range of key concepts and terms of PE from clinical and biomedical research in structuring the knowledge base that is specific to PE.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gynecology","Obstetrics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Japan","United Kingdom"],"publications":[{"id":3173,"pubmed_id":null,"title":"The Pre-Eclampsia Ontology: A Disease Ontology Representing the Domain Knowledge Specific to Pre-Eclampsia","year":2016,"url":"http://dx.doi.org/10.1371/journal.pone.0162828","authors":"Mizuno, Satoshi; Ogishima, Soichi; Nishigori, Hidekazu; Jamieson, Daniel G.; Verspoor, Karin; Tanaka, Hiroshi; Yaegashi, Nobuo; Nakaya, Jun; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0162828","created_at":"2022-01-05T20:07:41.026Z","updated_at":"2022-01-05T20:07:41.026Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"91","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:40.168Z","metadata":{"doi":"10.25504/FAIRsharing.3mdt9n","name":"Chemical Markup Language","status":"ready","contacts":[{"contact_name":"Peter Murray-Rust","contact_email":"pm286@cam.ac.uk","contact_orcid":"0000-0003-3386-3972"}],"homepage":"http://www.xml-cml.org/spec/","identifier":91,"description":"CML (Chemical Markup Language) is an XML language designed to hold most of the central concepts in chemistry. It was the first language to be developed and plays the same role for chemistry as MathML for mathematics and GML for geographical systems. CML covers most mainstream chemistry and especially molecules, reactions, solid-state, computation and spectroscopy as well as a wide range of chemical properties, parameters and experimental observation. It is particularly concerned with the communication between machines and humans, and machines to machines.","abbreviation":"CML","support_links":[{"url":"http://www.xml-cml.org/documentation/FAQ.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.xml-cml.org/documentation/index.html","type":"Help documentation"},{"url":"cml-discuss@lists.sourceforge.net","name":"CML Mailing list","type":"Mailing list"},{"url":"http://www.xml-cml.org/tutorial/","type":"Training documentation"}],"year_creation":1995,"associated_tools":[{"url":"http://www.xml-cml.org/tools/software.html","name":"CML aware tools"}]},"legacy_ids":["bsg-000119","bsg-s000119"],"name":"FAIRsharing record for: Chemical Markup Language","abbreviation":"CML","url":"https://fairsharing.org/10.25504/FAIRsharing.3mdt9n","doi":"10.25504/FAIRsharing.3mdt9n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CML (Chemical Markup Language) is an XML language designed to hold most of the central concepts in chemistry. It was the first language to be developed and plays the same role for chemistry as MathML for mathematics and GML for geographical systems. CML covers most mainstream chemistry and especially molecules, reactions, solid-state, computation and spectroscopy as well as a wide range of chemical properties, parameters and experimental observation. It is particularly concerned with the communication between machines and humans, and machines to machines.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11713}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Chemistry","Life Science"],"domains":["Molecular structure","Mathematical model","Reaction data","Molecular entity","Spectroscopy","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1033,"pubmed_id":12767134,"title":"Chemical markup, XML, and the World Wide Web. 4. CML schema","year":2003,"url":"http://doi.org/10.1021/ci0256541","authors":"Murray-Rust P, Rzepa HS","journal":"J Chem Inf Comput Sci","doi":"10.1021/ci0256541","created_at":"2021-09-30T08:24:14.381Z","updated_at":"2021-09-30T08:24:14.381Z"}],"licence_links":[],"grants":[{"id":5062,"fairsharing_record_id":91,"organisation_id":501,"relation":"maintains","created_at":"2021-09-30T09:27:13.258Z","updated_at":"2021-09-30T09:27:13.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":501,"name":"Chemical Markup Language (CML) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5063,"fairsharing_record_id":91,"organisation_id":352,"relation":"maintains","created_at":"2021-09-30T09:27:13.295Z","updated_at":"2021-09-30T09:27:13.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"78","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:27.701Z","metadata":{"doi":"10.25504/FAIRsharing.hza1ec","name":"Binary Alignment Map Format","status":"ready","contacts":[{"contact_name":"Brian Lee","contact_email":"brianlee@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bam.html","identifier":78,"description":"BAM is the compressed binary version of the Sequence Alignment/Map (SAM) format, a compact and indexable representation of nucleotide sequence alignments. Many next-generation sequencing and analysis tools work with SAM/BAM. For custom track display, the main advantage of indexed BAM over PSL and other human-readable alignment formats is that only the portions of the files needed to display a particular region are transferred to UCSC. This makes it possible to display alignments from files that are so large that the connection to UCSC would time out when attempting to upload the whole file to UCSC. Both the BAM file and its associated index file remain on your web-accessible server (http, https, or ftp), not on the UCSC server. UCSC temporarily caches the accessed portions of the files to speed up interactive display.","abbreviation":"BAM","support_links":[{"url":"https://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"},{"url":"genome@soe.ucsc.edu","type":"Support email"},{"url":"https://genome.ucsc.edu/FAQ/FAQformat.html#format5.1","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/a/soe.ucsc.edu/forum/?hl=en#!forum/genome-announce","type":"Forum"},{"url":"https://genome.ucsc.edu/goldenpath/help/hgBamTrackHelp.html","type":"Help documentation"},{"url":"http://genome.ucsc.edu/goldenPath/help/bam.html","type":"Help documentation"}],"associated_tools":[{"url":"http://samtools.sourceforge.net/","name":"SAMtools 1.4"}]},"legacy_ids":["bsg-000210","bsg-s000210"],"name":"FAIRsharing record for: Binary Alignment Map Format","abbreviation":"BAM","url":"https://fairsharing.org/10.25504/FAIRsharing.hza1ec","doi":"10.25504/FAIRsharing.hza1ec","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BAM is the compressed binary version of the Sequence Alignment/Map (SAM) format, a compact and indexable representation of nucleotide sequence alignments. Many next-generation sequencing and analysis tools work with SAM/BAM. For custom track display, the main advantage of indexed BAM over PSL and other human-readable alignment formats is that only the portions of the files needed to display a particular region are transferred to UCSC. This makes it possible to display alignments from files that are so large that the connection to UCSC would time out when attempting to upload the whole file to UCSC. Both the BAM file and its associated index file remain on your web-accessible server (http, https, or ftp), not on the UCSC server. UCSC temporarily caches the accessed portions of the files to speed up interactive display.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18272},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11168},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11276},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11862},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12008},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16917}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5030,"fairsharing_record_id":78,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:11.911Z","updated_at":"2021-09-30T09:27:11.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"79","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:43:26.966Z","metadata":{"doi":"10.25504/FAIRsharing.b3c5ck","name":"Bilingual lexicon of water related texts and data","status":"in_development","contacts":[{"contact_name":"J.-L. Janin","contact_email":"jeanlouisjanin@gmail.com"}],"homepage":"http://agroportal.lirmm.fr/ontologies/LEXEAU","identifier":79,"description":"This terminology is also known as the Lexique bilingue des textes et des données sur l'eau. The Lexeau project is in the research and developement stage, using existing software to test the lexicon model and user interface on specific themes of the water domain such as flooding. This resource does not have a specific homepage, and currently is only available via AgroPortal.","abbreviation":"Lexeau","year_creation":2017},"legacy_ids":["bsg-001107","bsg-s001107"],"name":"FAIRsharing record for: Bilingual lexicon of water related texts and data","abbreviation":"Lexeau","url":"https://fairsharing.org/10.25504/FAIRsharing.b3c5ck","doi":"10.25504/FAIRsharing.b3c5ck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This terminology is also known as the Lexique bilingue des textes et des données sur l'eau. The Lexeau project is in the research and developement stage, using existing software to test the lexicon model and user interface on specific themes of the water domain such as flooding. This resource does not have a specific homepage, and currently is only available via AgroPortal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Earth Science","Water Management","Water Research"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":5031,"fairsharing_record_id":79,"organisation_id":299,"relation":"maintains","created_at":"2021-09-30T09:27:11.949Z","updated_at":"2021-09-30T09:27:11.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":299,"name":"Bordeaux Montaigne University, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"81","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-09-29T11:55:00.229Z","metadata":{"doi":"10.25504/FAIRsharing.t7mby9","name":"ISO 19115-1:2014 Geographic information -- Metadata -- Part 1: Fundamentals","status":"ready","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/53798.html","citations":[],"identifier":81,"description":"ISO 19115-1:2014 defines the schema required for describing geographic information and services by means of metadata. It provides information about the identification, the extent, the quality, the spatial and temporal aspects, the content, the spatial reference, the portrayal, distribution, and other properties of digital geographic data and services.","abbreviation":"ISO 19115-1:2014","year_creation":2014},"legacy_ids":["bsg-000861","bsg-s000861"],"name":"FAIRsharing record for: ISO 19115-1:2014 Geographic information -- Metadata -- Part 1: Fundamentals","abbreviation":"ISO 19115-1:2014","url":"https://fairsharing.org/10.25504/FAIRsharing.t7mby9","doi":"10.25504/FAIRsharing.t7mby9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115-1:2014 defines the schema required for describing geographic information and services by means of metadata. It provides information about the identification, the extent, the quality, the spatial and temporal aspects, the content, the spatial reference, the portrayal, distribution, and other properties of digital geographic data and services.","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13333}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1633,"relation":"undefined"}],"grants":[{"id":5042,"fairsharing_record_id":81,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:12.457Z","updated_at":"2021-09-30T09:27:12.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10933,"fairsharing_record_id":81,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:22:52.888Z","updated_at":"2023-09-27T14:22:52.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"82","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:47.443Z","metadata":{"doi":"10.25504/FAIRsharing.1rj558","name":"Teleost Taxonomy Ontology","status":"ready","contacts":[{"contact_name":"Paula Mabee","contact_email":"pmabee@usd.edu","contact_orcid":"0000-0002-8455-3213"}],"homepage":"https://wiki.phenoscape.org/wiki/Ontologies#Teleost_Taxonomy_Ontology_.28TTO.29","identifier":82,"description":"This is an ontology of taxonomic terms (names of taxonomic groups) used in the systematics of fish, including non-teleost groups such as Chondrichthys (sharks and rays), Sarcopterygii (lungfish and coelacanths), lampreys, and hagfish.","abbreviation":"TTO","support_links":[{"url":"https://blog.phenoscape.org","type":"Blog/News"},{"url":"peteremidford@yahoo.com","name":"Peter Midford","type":"Support email"},{"url":"https://wiki.phenoscape.org/wiki/Teleost_Taxonomy_Ontology","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TTO","name":"TTO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tto.html","name":"tto","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000153","bsg-s000153"],"name":"FAIRsharing record for: Teleost Taxonomy Ontology","abbreviation":"TTO","url":"https://fairsharing.org/10.25504/FAIRsharing.1rj558","doi":"10.25504/FAIRsharing.1rj558","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is an ontology of taxonomic terms (names of taxonomic groups) used in the systematics of fish, including non-teleost groups such as Chondrichthys (sharks and rays), Sarcopterygii (lungfish and coelacanths), lampreys, and hagfish.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Taxonomic classification"],"taxonomies":["Chondrichthys","Sarcopterygii","Teleostei"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":358,"relation":"undefined"}],"grants":[{"id":5043,"fairsharing_record_id":82,"organisation_id":2318,"relation":"maintains","created_at":"2021-09-30T09:27:12.489Z","updated_at":"2021-09-30T09:27:12.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":2318,"name":"Phenoscape","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5044,"fairsharing_record_id":82,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:12.518Z","updated_at":"2021-09-30T09:27:12.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"80","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:56.058Z","metadata":{"doi":"10.25504/FAIRsharing.6f7m6j","name":"Simulation Experiment Description Markup Language","status":"ready","contacts":[{"contact_name":"SED-ML Editors","contact_email":"sed-ml-editors@lists.sourceforge.net"}],"homepage":"http://sed-ml.org/","identifier":80,"description":"SED-ML is an XML-based format for encoding simulation setups, to ensure exchangeability and reproducibility of simulation experiments. It follows the requirements defined in the MIASE guidelines. SED-ML encodes in a computer-readable exchange format the information required by MIASE to enable reproduction of simulation experiments. It has been developed as a community project and it is defined in a detailed technical specification and additionally provides an XML schema.","abbreviation":"SED-ML","support_links":[{"url":"http://sed-ml.org/contact.html","name":"Contact Information","type":"Contact form"},{"url":"https://github.com/SED-ML/sed-ml/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://sed-ml.org/examples.html","name":"Examples of Use","type":"Help documentation"},{"url":"https://groups.google.com/g/sed-ml-discuss","name":"SED-ML Discussion List","type":"Mailing list"},{"url":"https://github.com/SED-ML/sed-ml","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/biosimulators-help","name":"BioSimulators tutorial and help","type":"TeSS links to training materials"}],"year_creation":2008,"associated_tools":[{"url":"http://sed-ml.org/showcase.html","name":"SED-ML Tools and Libraries List"}]},"legacy_ids":["bsg-000148","bsg-s000148"],"name":"FAIRsharing record for: Simulation Experiment Description Markup Language","abbreviation":"SED-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.6f7m6j","doi":"10.25504/FAIRsharing.6f7m6j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SED-ML is an XML-based format for encoding simulation setups, to ensure exchangeability and reproducibility of simulation experiments. It follows the requirements defined in the MIASE guidelines. SED-ML encodes in a computer-readable exchange format the information required by MIASE to enable reproduction of simulation experiments. It has been developed as a community project and it is defined in a detailed technical specification and additionally provides an XML schema.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10847},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11151},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11877},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11965},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12207},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16940}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Systems Biology"],"domains":["Mathematical model","Modeling and simulation","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":944,"pubmed_id":26528560,"title":"Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 2.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-262","authors":"Bergmann FT,Cooper J,Le Novere N,Nickerson D,Waltemath D","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-262","created_at":"2021-09-30T08:24:04.463Z","updated_at":"2021-09-30T08:24:04.463Z"},{"id":977,"pubmed_id":22172142,"title":"Reproducible computational biology experiments with SED-ML--the Simulation Experiment Description Markup Language.","year":2011,"url":"http://doi.org/10.1186/1752-0509-5-198","authors":"Waltemath D,Adams R,Bergmann FT,Hucka M,Kolpakov F,Miller AK,Moraru II,Nickerson D,Sahle S,Snoep JL,Le Novere N","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-5-198","created_at":"2021-09-30T08:24:08.130Z","updated_at":"2021-09-30T08:24:08.130Z"}],"licence_links":[],"grants":[{"id":5034,"fairsharing_record_id":80,"organisation_id":2539,"relation":"maintains","created_at":"2021-09-30T09:27:12.068Z","updated_at":"2021-09-30T09:27:12.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":2539,"name":"SED-ML editors","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5040,"fairsharing_record_id":80,"organisation_id":3196,"relation":"funds","created_at":"2021-09-30T09:27:12.378Z","updated_at":"2021-09-30T09:27:12.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":3196,"name":"VPH-Share Project","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8420,"fairsharing_record_id":80,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:33.718Z","updated_at":"2021-09-30T09:32:33.778Z","grant_id":1675,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54-RR022232","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8468,"fairsharing_record_id":80,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:32:47.152Z","updated_at":"2021-09-30T09:32:47.210Z","grant_id":1777,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM081070","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5032,"fairsharing_record_id":80,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:11.986Z","updated_at":"2021-09-30T09:27:11.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5037,"fairsharing_record_id":80,"organisation_id":1755,"relation":"funds","created_at":"2021-09-30T09:27:12.186Z","updated_at":"2021-09-30T09:27:12.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":1755,"name":"Marie Skodowska-Curie actions, Europe","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5039,"fairsharing_record_id":80,"organisation_id":1775,"relation":"funds","created_at":"2021-09-30T09:27:12.336Z","updated_at":"2021-09-30T09:27:12.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":1775,"name":"Maurice Wilkins Center for Molecular Biodiscovery, Auckland, New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5038,"fairsharing_record_id":80,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:12.287Z","updated_at":"2021-09-30T09:29:46.484Z","grant_id":396,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/D019621/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5035,"fairsharing_record_id":80,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:12.111Z","updated_at":"2021-09-30T09:31:04.748Z","grant_id":1006,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG Research Training Group 1387/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5041,"fairsharing_record_id":80,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:27:12.420Z","updated_at":"2021-09-30T09:31:58.911Z","grant_id":1415,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031 6194","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5036,"fairsharing_record_id":80,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:12.149Z","updated_at":"2021-09-30T09:32:23.722Z","grant_id":1600,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"P41-RR013186","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5033,"fairsharing_record_id":80,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:12.028Z","updated_at":"2021-09-30T09:31:58.025Z","grant_id":1409,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM070923","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"83","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:06:41.840Z","metadata":{"doi":"10.25504/FAIRsharing.26dmba","name":"mz Markup Language","status":"ready","contacts":[{"contact_name":"Sylvie Ricard-Blum","contact_email":"sylvie.ricard-blum@univ-lyon1.fr"}],"homepage":"http://www.psidev.info/mzml","identifier":83,"description":"mzML was formed to amalgamate two formats for encoding raw spectrometer data; mzData developed by the PSI, and, mzXML developed at the Seattle Proteome Center at the Institute for Systems Biology. The PSI, with full participation by the ISB, developed the new format by taking the best aspects of each of the precursors to form a single, less confusing, format.","abbreviation":"mzML","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","name":"SourceForge Mailing list","type":"Mailing list"}],"year_creation":2008},"legacy_ids":["bsg-000112","bsg-s000112"],"name":"FAIRsharing record for: mz Markup Language","abbreviation":"mzML","url":"https://fairsharing.org/10.25504/FAIRsharing.26dmba","doi":"10.25504/FAIRsharing.26dmba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mzML was formed to amalgamate two formats for encoding raw spectrometer data; mzData developed by the PSI, and, mzXML developed at the Seattle Proteome Center at the Institute for Systems Biology. The PSI, with full participation by the ISB, developed the new format by taking the best aspects of each of the precursors to form a single, less confusing, format.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10911},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11025},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11149},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11270},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11431},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11962}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mass spectrum","Centrally registered identifier","Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Germany","United Kingdom"],"publications":[{"id":99,"pubmed_id":24727771,"title":"ProteomeXchange provides globally coordinated proteomics data submission and dissemination.","year":2014,"url":"http://doi.org/10.1038/nbt.2839","authors":"Vizcaíno JA, Deutsch EW, Wang R, et al.","journal":"Nat Biotechnol.","doi":"10.1038/nbt.2839","created_at":"2021-09-30T08:22:31.122Z","updated_at":"2021-09-30T08:22:31.122Z"},{"id":2176,"pubmed_id":20716697,"title":"mzML--a community standard for mass spectrometry data.","year":2010,"url":"http://doi.org/10.1074/mcp.R110.000133","authors":"Martens L,Chambers M,Sturm M,Kessner D,Levander F,Shofstahl J,Tang WH,Rompp A,Neumann S,Pizarro AD,Montecchi-Palazzi L,Tasman N,Coleman M,Reisinger F,Souda P,Hermjakob H,Binz PA,Deutsch EW","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.R110.000133","created_at":"2021-09-30T08:26:25.225Z","updated_at":"2021-09-30T08:26:25.225Z"}],"licence_links":[],"grants":[{"id":5046,"fairsharing_record_id":83,"organisation_id":1291,"relation":"maintains","created_at":"2021-09-30T09:27:12.575Z","updated_at":"2021-09-30T09:27:12.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":1291,"name":"HUPO-PSI initiative; Quality Control working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5045,"fairsharing_record_id":83,"organisation_id":2471,"relation":"maintains","created_at":"2021-09-30T09:27:12.548Z","updated_at":"2021-09-30T09:27:12.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":2471,"name":"Ruhr-Universitat Bochum","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5047,"fairsharing_record_id":83,"organisation_id":2985,"relation":"maintains","created_at":"2021-09-30T09:27:12.611Z","updated_at":"2021-09-30T09:27:12.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":2985,"name":"Universite de Lyon, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5048,"fairsharing_record_id":83,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:27:12.721Z","updated_at":"2021-09-30T09:27:12.721Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"106","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.376Z","metadata":{"doi":"10.25504/FAIRsharing.t8g7yc","name":"Minimum Information About an RNAi Experiment Tabular","status":"ready","contacts":[{"contact_email":"p.ghazal@ed.ac.uk"}],"homepage":"http://miare.sourceforge.net/HomePage","identifier":106,"description":"Minimum Information About an RNAi Experiment Tabular (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","abbreviation":"MIARE-TAB","support_links":[{"url":"https://sourceforge.net/p/miare/mailman/","type":"Mailing list"},{"url":"http://miare.sourceforge.net/HomePage#current%20documents","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000188","bsg-s000188"],"name":"FAIRsharing record for: Minimum Information About an RNAi Experiment Tabular","abbreviation":"MIARE-TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.t8g7yc","doi":"10.25504/FAIRsharing.t8g7yc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimum Information About an RNAi Experiment Tabular (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11998},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12434}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science"],"domains":["Annotation","RNA interference","Assay","Small interfering RNA","Gene","Short Hairpin RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1678,"pubmed_id":16847461,"title":"Standards for systems biology.","year":2006,"url":"http://doi.org/10.1038/nrg1922","authors":"Brazma A,Krestyaninova M,Sarkans U","journal":"Nat Rev Genet","doi":"10.1038/nrg1922","created_at":"2021-09-30T08:25:27.979Z","updated_at":"2021-09-30T08:25:27.979Z"},{"id":1689,"pubmed_id":19765810,"title":"A genome-wide RNAi screen for modifiers of the circadian clock in human cells.","year":2009,"url":"http://doi.org/10.1016/j.cell.2009.08.031","authors":"Zhang EE,Liu AC,Hirota T,Miraglia LJ,Welch G,Pongsawakul PY,Liu X,Atwood A,Huss JW 3rd,Janes J,Su AI,Hogenesch JB,Kay SA","journal":"Cell","doi":"10.1016/j.cell.2009.08.031","created_at":"2021-09-30T08:25:29.296Z","updated_at":"2021-09-30T08:25:29.296Z"}],"licence_links":[],"grants":[{"id":5096,"fairsharing_record_id":106,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:14.676Z","updated_at":"2021-09-30T09:27:14.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5095,"fairsharing_record_id":106,"organisation_id":1848,"relation":"maintains","created_at":"2021-09-30T09:27:14.645Z","updated_at":"2021-09-30T09:27:14.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":1848,"name":"Minimum Information About an RNAi Experiment (MIARE) informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"107","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:24.434Z","metadata":{"doi":"10.25504/FAIRsharing.k5ky44","name":"TDWG Standards Documentation Specification","status":"in_development","contacts":[{"contact_name":"Steve Baskauf","contact_email":"steve.baskauf@vanderbilt.edu","contact_orcid":"0000-0003-4365-3135"}],"homepage":"https://www.tdwg.org/standards/sds/","identifier":107,"description":"This document defines how TDWG standards should be presented. Each standard is a logical directory or folder containing two or more files - a cover page outlining basic meta data for the standard and one or more normative files specifying the standard itself. Rules are specified for the naming of standards and files. Human readable files should be in English, follow basic layout principles and be marked up in XHTML. The legal statements that all documents must contain are defined.","abbreviation":"TDWG SDS","support_links":[{"url":"https://github.com/tdwg/vocab","type":"Github"},{"url":"https://github.com/tdwg/vocab/tree/master/sds","name":"Github","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-000201","bsg-s000201"],"name":"FAIRsharing record for: TDWG Standards Documentation Specification","abbreviation":"TDWG SDS","url":"https://fairsharing.org/10.25504/FAIRsharing.k5ky44","doi":"10.25504/FAIRsharing.k5ky44","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document defines how TDWG standards should be presented. Each standard is a logical directory or folder containing two or more files - a cover page outlining basic meta data for the standard and one or more normative files specifying the standard itself. Rules are specified for the naming of standards and files. Human readable files should be in English, follow basic layout principles and be marked up in XHTML. The legal statements that all documents must contain are defined.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11992},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12268}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1070,"relation":"undefined"}],"grants":[{"id":5097,"fairsharing_record_id":107,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:27:14.705Z","updated_at":"2021-09-30T09:27:14.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"108","type":"fairsharing_records","attributes":{"created_at":"2015-02-20T22:17:24.000Z","updated_at":"2021-11-24T13:15:37.432Z","metadata":{"doi":"10.25504/FAIRsharing.r0r2wd","name":"Root System Markup Language","status":"ready","contacts":[{"contact_name":"Xavier Draye","contact_email":"xavier.draye@uclouvain.be","contact_orcid":"0000-0002-3637-3330"}],"homepage":"http://rootsystemml.github.io/","identifier":108,"description":"RSML follows the XML standard to store 2D or 3D image metadata, plant and root properties and geometries, continuous functions along individual root paths and a suite of annotations at the image, plant or root scales, at one or several time points. Plant ontologies are used to describe botanical entities that are relevant at the scale of root system architecture. An xml-schema describes the features and constraints of RSML and open-source packages have been developed in several languages (R, Excel, Java, Python, C#) to enable researchers to integrate RSML files into popular research workflow.","abbreviation":"RSML","support_links":[{"url":"http://rootsystemml.github.io/examples/","type":"Github"}]},"legacy_ids":["bsg-000581","bsg-s000581"],"name":"FAIRsharing record for: Root System Markup Language","abbreviation":"RSML","url":"https://fairsharing.org/10.25504/FAIRsharing.r0r2wd","doi":"10.25504/FAIRsharing.r0r2wd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RSML follows the XML standard to store 2D or 3D image metadata, plant and root properties and geometries, continuous functions along individual root paths and a suite of annotations at the image, plant or root scales, at one or several time points. Plant ontologies are used to describe botanical entities that are relevant at the scale of root system architecture. An xml-schema describes the features and constraints of RSML and open-source packages have been developed in several languages (R, Excel, Java, Python, C#) to enable researchers to integrate RSML files into popular research workflow.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Plant Anatomy"],"domains":["Root"],"taxonomies":["Plantae"],"user_defined_tags":["Metadata standardization"],"countries":["Austria","Belgium","France","Germany","United Kingdom"],"publications":[{"id":1652,"pubmed_id":25614065,"title":"Root system markup language: toward a unified root architecture description language.","year":2015,"url":"http://doi.org/10.1104/pp.114.253625","authors":"Lobet G,Pound MP,Diener J,Pradal C,Draye X,Godin C,Javaux M,Leitner D,Meunier F,Nacry P,Pridmore TP,Schnepf A","journal":"Plant Physiol","doi":"10.1104/pp.114.253625","created_at":"2021-09-30T08:25:25.080Z","updated_at":"2021-09-30T08:25:25.080Z"}],"licence_links":[],"grants":[{"id":5099,"fairsharing_record_id":108,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:27:14.840Z","updated_at":"2021-09-30T09:29:56.028Z","grant_id":475,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR–11–BSV6–0018","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5098,"fairsharing_record_id":108,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:27:14.734Z","updated_at":"2021-09-30T09:30:31.799Z","grant_id":749,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","grant":"P7/29","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"109","type":"fairsharing_records","attributes":{"created_at":"2019-08-21T02:34:58.000Z","updated_at":"2022-07-20T11:03:56.546Z","metadata":{"doi":"10.25504/FAIRsharing.eMSVvJ","name":"Hourly Global Ionospheric Maps","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ac@ionosphere.cn"}],"homepage":"http://ionosphere.cn","identifier":109,"description":"Near real-time modeling of global ionospheric total electron content by using the hourly IGS data.","abbreviation":"Hourly GIMs","support_links":[{"url":"acheng@buaa.edu.cn","name":"Cheng Wang","type":"Support email"}],"year_creation":2018,"associated_tools":[{"url":"http://ionosphere.cn/page/inx_editor","name":"INX Editor 1.2"}]},"legacy_ids":["bsg-001389","bsg-s001389"],"name":"FAIRsharing record for: Hourly Global Ionospheric Maps","abbreviation":"Hourly GIMs","url":"https://fairsharing.org/10.25504/FAIRsharing.eMSVvJ","doi":"10.25504/FAIRsharing.eMSVvJ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Near real-time modeling of global ionospheric total electron content by using the hourly IGS data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Atmospheric Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["ionosphere"],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":5101,"fairsharing_record_id":109,"organisation_id":188,"relation":"maintains","created_at":"2021-09-30T09:27:14.922Z","updated_at":"2021-09-30T09:27:14.922Z","grant_id":null,"is_lead":true,"saved_state":{"id":188,"name":"Beihang University, Beihang, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5100,"fairsharing_record_id":109,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:27:14.881Z","updated_at":"2021-09-30T09:30:13.153Z","grant_id":604,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"41804026","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"110","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.461Z","metadata":{"doi":"10.25504/FAIRsharing.72e4we","name":"Chain Format for pairwise alignment","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/chain.html","identifier":110,"description":"The chain format describes a pairwise alignment that allow gaps in both sequences simultaneously. Each set of chain alignments starts with a header line, contains one or more alignment data lines, and terminates with a blank line. The format is deliberately quite dense.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000221","bsg-s000221"],"name":"FAIRsharing record for: Chain Format for pairwise alignment","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.72e4we","doi":"10.25504/FAIRsharing.72e4we","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The chain format describes a pairwise alignment that allow gaps in both sequences simultaneously. Each set of chain alignments starts with a header line, contains one or more alignment data lines, and terminates with a blank line. The format is deliberately quite dense.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"111","type":"fairsharing_records","attributes":{"created_at":"2015-05-11T07:17:12.000Z","updated_at":"2024-02-27T11:54:31.543Z","metadata":{"doi":"10.25504/FAIRsharing.v8nve2","name":"Joint Committee on Atomic and Molecular Physical data - working group on Data eXchange","status":"ready","contacts":[{"contact_name":"Tony Davies","contact_email":"tony.davies@waters.com"}],"homepage":"http://jcamp-dx.org/","citations":[],"identifier":111,"description":"JCAMP-DX is used for exchanging moderate numbers of spectra. JCAMP-DX was one of the earliest specifications providing a standard file format for data exchange in mass spectrometry. It was initially developed for infrared spectrometry and related chemical and physical information between spectrometer data systems of different manufacture. It was also used later for nuclear magnetic resonance spectroscopy. JCAMP-DX is an ASCII based format and includes standards for file compression. All data are stored as labeled fields of variable length using printable ASCII characters. JCAMP-DX was found impractical for today's large MS data sets, but it is still used for exchanging moderate numbers of spectra. IUPAC is currently in charge of its maintenance and the latest protocol is from 2005.","abbreviation":"JCAMP-DX","support_links":[],"year_creation":1988},"legacy_ids":["bsg-000590","bsg-s000590"],"name":"FAIRsharing record for: Joint Committee on Atomic and Molecular Physical data - working group on Data eXchange","abbreviation":"JCAMP-DX","url":"https://fairsharing.org/10.25504/FAIRsharing.v8nve2","doi":"10.25504/FAIRsharing.v8nve2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JCAMP-DX is used for exchanging moderate numbers of spectra. JCAMP-DX was one of the earliest specifications providing a standard file format for data exchange in mass spectrometry. It was initially developed for infrared spectrometry and related chemical and physical information between spectrometer data systems of different manufacture. It was also used later for nuclear magnetic resonance spectroscopy. JCAMP-DX is an ASCII based format and includes standards for file compression. All data are stored as labeled fields of variable length using printable ASCII characters. JCAMP-DX was found impractical for today's large MS data sets, but it is still used for exchanging moderate numbers of spectra. IUPAC is currently in charge of its maintenance and the latest protocol is from 2005.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10915},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11035},{"linking_record_name":"Semantic Assets for Materials Science","linking_record_id":3512,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11310},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11728}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Mass spectrum","Spectroscopy","Infared spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":726,"pubmed_id":null,"title":"JCAMP-DX: A Standard Form for Exchange of Infrared Spectra in Computer Readable Form","year":1988,"url":"http://doi.org/10.1366%2F0003702884428734","authors":"McDonald, Robert S.; Wilks, Paul A.","journal":"Applied Spectroscopy","doi":"10.1366%2F0003702884428734","created_at":"2021-09-30T08:23:40.015Z","updated_at":"2021-09-30T08:23:40.015Z"}],"licence_links":[],"grants":[{"id":5102,"fairsharing_record_id":111,"organisation_id":1537,"relation":"funds","created_at":"2021-09-30T09:27:14.961Z","updated_at":"2021-09-30T09:27:14.961Z","grant_id":null,"is_lead":false,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":11424,"fairsharing_record_id":111,"organisation_id":4290,"relation":"maintains","created_at":"2024-02-27T11:50:00.177Z","updated_at":"2024-02-27T11:50:00.177Z","grant_id":null,"is_lead":true,"saved_state":{"id":4290,"name":"IUPAC CPEP Subcommittee on Electronic Data Standards","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11425,"fairsharing_record_id":111,"organisation_id":1537,"relation":"maintains","created_at":"2024-02-27T11:50:00.177Z","updated_at":"2024-02-27T11:50:00.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"125","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-14T08:52:56.556Z","metadata":{"doi":"10.25504/FAIRsharing.cfzz0h","name":"Variant Call Format","status":"ready","contacts":[{"contact_name":"Reggan Thomas","contact_email":"reggan.thomas@ga4gh.org","contact_orcid":"0000-0002-1803-444X"}],"homepage":"https://www.ga4gh.org/product/genetic-variation-formats-vcf/","citations":[{"doi":"10.12688/f1000research.109080.2","pubmed_id":null,"publication_id":4065}],"identifier":125,"description":"Variant Call Format (VCF) is a text file format (most likely stored in a compressed manner). It contains meta-information lines, a header line, and then data lines each containing information about a position in the genome.","abbreviation":"VCF","support_links":[{"url":"https://samtools.github.io/hts-specs/","type":"Github"}]},"legacy_ids":["bsg-000270","bsg-s000270"],"name":"FAIRsharing record for: Variant Call Format","abbreviation":"VCF","url":"https://fairsharing.org/10.25504/FAIRsharing.cfzz0h","doi":"10.25504/FAIRsharing.cfzz0h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Variant Call Format (VCF) is a text file format (most likely stored in a compressed manner). It contains meta-information lines, a header line, and then data lines each containing information about a position in the genome.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18273},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10999},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11277},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11614},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11863},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12011},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12446},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16925}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Sequence position","Deoxyribonucleic acid","Genome","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":4065,"pubmed_id":null,"title":"Recommendations for the formatting of Variant Call Format (VCF) files to make plant genotyping data FAIR","year":2022,"url":"http://dx.doi.org/10.12688/f1000research.109080.2","authors":"Beier, Sebastian; Fiebig, Anne; Pommier, Cyril; Liyanage, Isuru; Lange, Matthias; Kersey, Paul J.; Weise, Stephan; Finkers, Richard; Koylass, Baron; Cezard, Timothee; Courtot, Mélanie; Contreras-Moreira, Bruno; Naamati, Guy; Dyer, Sarah; Scholz, Uwe; ","journal":"F1000Res","doi":"10.12688/f1000research.109080.2","created_at":"2023-12-13T16:39:34.815Z","updated_at":"2023-12-13T16:39:34.815Z"}],"licence_links":[],"grants":[{"id":5126,"fairsharing_record_id":125,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:15.999Z","updated_at":"2021-09-30T09:32:45.837Z","grant_id":1767,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"WT104947/Z/14/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":10883,"fairsharing_record_id":125,"organisation_id":116,"relation":"maintains","created_at":"2023-09-22T08:42:20.392Z","updated_at":"2023-09-22T08:42:20.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":116,"name":"Global Alliance for Genomics and Health","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"127","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.254Z","metadata":{"doi":"10.25504/FAIRsharing.4da1jx","name":"microarray track data Browser Extensible Data Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genomewiki.ucsc.edu/index.php/Microarray_track","identifier":127,"description":"The microarray track data Browser Extensible Data Format displays configuration files for microarray annotation tracks displayed on the UCSC Genome Browser.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Help documentation"}]},"legacy_ids":["bsg-000243","bsg-s000243"],"name":"FAIRsharing record for: microarray track data Browser Extensible Data Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4da1jx","doi":"10.25504/FAIRsharing.4da1jx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The microarray track data Browser Extensible Data Format displays configuration files for microarray annotation tracks displayed on the UCSC Genome Browser.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12432}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Expression data"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5128,"fairsharing_record_id":127,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.074Z","updated_at":"2021-09-30T09:27:16.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"128","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:48:30.001Z","metadata":{"doi":"10.25504/FAIRsharing.evxcfb","name":"net alignment annotation Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/net.html","citations":[],"identifier":128,"description":"The net file format is used to describe the axtNet data that underlie the net alignment annotations in the Genome Browser.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000249","bsg-s000249"],"name":"FAIRsharing record for: net alignment annotation Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.evxcfb","doi":"10.25504/FAIRsharing.evxcfb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The net file format is used to describe the axtNet data that underlie the net alignment annotations in the Genome Browser.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Deoxyribonucleic acid","Sequence alignment","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5129,"fairsharing_record_id":128,"organisation_id":3037,"relation":"undefined","created_at":"2021-09-30T09:27:16.115Z","updated_at":"2021-09-30T09:27:16.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":5130,"fairsharing_record_id":128,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.157Z","updated_at":"2021-09-30T09:27:16.157Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"129","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2021-12-10T14:53:36.539Z","metadata":{"doi":"10.25504/FAIRsharing.1xr6v0","name":"Surgical Secondary Events","status":"deprecated","contacts":[{"contact_name":"Hugh McGowan","contact_email":"surse@mskcc.org"},{"contact_name":"General Contact","contact_email":"surse@mskcc.org","contact_orcid":null}],"homepage":"http://www.mskcc.org/sse","citations":[],"identifier":129,"description":"Memorial Sloan-Kettering Cancer Center Surgical Secondary Events Ontology (Adverse Events)","abbreviation":"SSE","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SSE","name":"SSE","portal":"BioPortal"}],"deprecation_date":"2021-12-08","deprecation_reason":"This resource is no longer available at the stated homepage, and we cannot find an updated homepage. Please get in touch with us if you have any information regarding this resource."},"legacy_ids":["bsg-000821","bsg-s000821"],"name":"FAIRsharing record for: Surgical Secondary Events","abbreviation":"SSE","url":"https://fairsharing.org/10.25504/FAIRsharing.1xr6v0","doi":"10.25504/FAIRsharing.1xr6v0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Memorial Sloan-Kettering Cancer Center Surgical Secondary Events Ontology (Adverse Events)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Surgery"],"domains":["Adverse Reaction"],"taxonomies":["All"],"user_defined_tags":["Adverse outcome pathways"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"130","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2021-11-24T13:14:15.014Z","metadata":{"doi":"10.25504/FAIRsharing.ddmatg","name":"Ontology of Drug Neuropathy Adverse Events","status":"ready","contacts":[{"contact_name":"Yongqhun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/odnae/odnae","identifier":130,"description":"The Ontology of Drug Neuropathy Adverse Events (ODNAE) is an extension of OAE which serves as a knowledge base comprising drug components, chemical entities of active drug ingredients, drug mechanisms, and drug-inducing neuropathy AEs. ODNAE is a platform for building a drug-induced neuropathy knowledge base and for analyzing the underlying mechanisms of drug-induced neuropathy. The ODNAE-based methods used in this study can also be extended to the representation and study of other categories of adverse events.","abbreviation":"ODNAE","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ODNAE","name":"ODNAE","portal":"BioPortal"}]},"legacy_ids":["bsg-000939","bsg-s000939"],"name":"FAIRsharing record for: Ontology of Drug Neuropathy Adverse Events","abbreviation":"ODNAE","url":"https://fairsharing.org/10.25504/FAIRsharing.ddmatg","doi":"10.25504/FAIRsharing.ddmatg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Drug Neuropathy Adverse Events (ODNAE) is an extension of OAE which serves as a knowledge base comprising drug components, chemical entities of active drug ingredients, drug mechanisms, and drug-inducing neuropathy AEs. ODNAE is a platform for building a drug-induced neuropathy knowledge base and for analyzing the underlying mechanisms of drug-induced neuropathy. The ODNAE-based methods used in this study can also be extended to the representation and study of other categories of adverse events.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Adverse Reaction","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2211,"pubmed_id":27213033,"title":"Ontology-based collection, representation and analysis of drug-associated neuropathy adverse events.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0069-x","authors":"Guo A,Racz R,Hur J,Lin Y,Xiang Z,Zhao L,Rinder J,Jiang G,Zhu Q,He Y","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0069-x","created_at":"2021-09-30T08:26:29.215Z","updated_at":"2021-09-30T08:26:29.215Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":617,"relation":"undefined"}],"grants":[{"id":5131,"fairsharing_record_id":130,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:16.195Z","updated_at":"2021-09-30T09:27:16.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5133,"fairsharing_record_id":130,"organisation_id":2514,"relation":"maintains","created_at":"2021-09-30T09:27:16.274Z","updated_at":"2021-09-30T09:27:16.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":2514,"name":"School of Medicine and Health Sciences, University of North Dakota, Grand Forks, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5132,"fairsharing_record_id":130,"organisation_id":1798,"relation":"maintains","created_at":"2021-09-30T09:27:16.232Z","updated_at":"2021-09-30T09:27:16.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1798,"name":"Mayo Clinic, Rochester, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5134,"fairsharing_record_id":130,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:27:16.316Z","updated_at":"2021-09-30T09:27:16.316Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5135,"fairsharing_record_id":130,"organisation_id":3094,"relation":"maintains","created_at":"2021-09-30T09:27:16.353Z","updated_at":"2021-09-30T09:27:16.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":3094,"name":"University of Michigan Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"131","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.322Z","metadata":{"doi":"10.25504/FAIRsharing.wkh9j2","name":"nucleotide inFormation binary Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format8","identifier":131,"description":"The .nib format pre-dates the .2bit format and is less compact. It describes a DNA sequence by packing two bases into each byte.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000253","bsg-s000253"],"name":"FAIRsharing record for: nucleotide inFormation binary Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.wkh9j2","doi":"10.25504/FAIRsharing.wkh9j2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The .nib format pre-dates the .2bit format and is less compact. It describes a DNA sequence by packing two bases into each byte.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5136,"fairsharing_record_id":131,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.386Z","updated_at":"2021-09-30T09:27:16.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"132","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.386Z","metadata":{"doi":"10.25504/FAIRsharing.gnga3t","name":"Personal Genome SNP Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format10","identifier":132,"description":"This format is for displaying SNPs from personal genomes. It is the same as is used for the Genome Variants and Population Variants tracks.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000256","bsg-s000256"],"name":"FAIRsharing record for: Personal Genome SNP Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.gnga3t","doi":"10.25504/FAIRsharing.gnga3t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This format is for displaying SNPs from personal genomes. It is the same as is used for the Genome Variants and Population Variants tracks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Genotyping","Deoxyribonucleic acid","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5137,"fairsharing_record_id":132,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.409Z","updated_at":"2021-09-30T09:27:16.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"133","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.456Z","metadata":{"doi":"10.25504/FAIRsharing.m5swgj","name":"Protein InFormation Resource Format","status":"ready","contacts":[{"contact_name":"PIR staff","contact_email":"pirmail@georgetown.edu"}],"homepage":"http://emboss.sourceforge.net/docs/themes/seqformats/NbrfFormat.html","identifier":133,"description":"This PIR Database File Structure and Format Specification describes the files comprising the PIR-International Protein Sequence Database and the format of each. The format has been enhanced significantly for Release 39.00 to what is referred to as \"enhanced NBRF\" format.","abbreviation":"PIFRF","year_creation":1993},"legacy_ids":["bsg-000257","bsg-s000257"],"name":"FAIRsharing record for: Protein InFormation Resource Format","abbreviation":"PIFRF","url":"https://fairsharing.org/10.25504/FAIRsharing.m5swgj","doi":"10.25504/FAIRsharing.m5swgj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This PIR Database File Structure and Format Specification describes the files comprising the PIR-International Protein Sequence Database and the format of each. The format has been enhanced significantly for Release 39.00 to what is referred to as \"enhanced NBRF\" format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Japan","United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"134","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-07T08:24:42.547Z","metadata":{"doi":"10.25504/FAIRsharing.dxcrbg","name":"eXtensible Graph Markup and Modeling Language","status":"deprecated","contacts":[],"homepage":"http://www.cs.rpi.edu/research/groups/pb/punin/public_html/XGMML/","citations":[],"identifier":134,"description":"XGMML (eXtensible Graph Markup and Modeling Language) is an XML application based on GML which is used for graph description. XGMML uses tags to describe nodes and edges of a graph. The purpose of XGMML is to make possible the exchange of graphs between differents authoring and browsing tools for graphs. The status of this format is uncertain as the homepage is no longer accessible.","abbreviation":null,"support_links":[{"url":"info@cs.rpi.edu","type":"Support email"},{"url":"moorthy@cs.rpi.edu","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/XGMML","type":"Wikipedia"}],"year_creation":2000,"deprecation_date":"2023-04-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Archives are accessible here: https://web.archive.org/web/20140329092403/http://cgi5.cs.rpi.edu/research/groups/pb/punin/public_html/XGMML/. Please get in touch if you have any information."},"legacy_ids":["bsg-000272","bsg-s000272"],"name":"FAIRsharing record for: eXtensible Graph Markup and Modeling Language","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.dxcrbg","doi":"10.25504/FAIRsharing.dxcrbg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XGMML (eXtensible Graph Markup and Modeling Language) is an XML application based on GML which is used for graph description. XGMML uses tags to describe nodes and edges of a graph. The purpose of XGMML is to make possible the exchange of graphs between differents authoring and browsing tools for graphs. The status of this format is uncertain as the homepage is no longer accessible.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mathematical model","Network model","Graph","Enzymatic reaction","Protein","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5139,"fairsharing_record_id":134,"organisation_id":590,"relation":"maintains","created_at":"2021-09-30T09:27:16.463Z","updated_at":"2021-09-30T09:27:16.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":590,"name":"Computer Science Department, Rensselaer Polytechnic Institute, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"135","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:36.415Z","metadata":{"doi":"10.25504/FAIRsharing.chmyvk","name":"BLAST-like Alignment Tool Format","status":"ready","contacts":[{"contact_name":"W James Kent","contact_email":"kent@biology.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html#BLATAlign","identifier":135,"description":"BLAT is a multiple algorithms developed for the analysis and comparison of biological sequences such as DNA, RNA and proteins.","abbreviation":"BLAT Format","support_links":[{"url":"http://genome.ucsc.edu/FAQ/FAQblat.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://genome.ucsc.edu/FAQ/FAQblat.html#blat3","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-000259","bsg-s000259"],"name":"FAIRsharing record for: BLAST-like Alignment Tool Format","abbreviation":"BLAT Format","url":"https://fairsharing.org/10.25504/FAIRsharing.chmyvk","doi":"10.25504/FAIRsharing.chmyvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BLAT is a multiple algorithms developed for the analysis and comparison of biological sequences such as DNA, RNA and proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genetics","Computational Biology","Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Protein","Messenger RNA"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":203,"pubmed_id":11932250,"title":"BLAT--the BLAST-like alignment tool.","year":2002,"url":"http://doi.org/10.1101/gr.229202","authors":"Kent WJ.,","journal":"Genome Res.","doi":"10.1101/gr.229202","created_at":"2021-09-30T08:22:42.164Z","updated_at":"2021-09-30T08:22:42.164Z"}],"licence_links":[{"licence_name":"Kent Informatics License - required for commercial use","licence_id":478,"licence_url":"http://www.kentinformatics.com","link_id":20,"relation":"undefined"}],"grants":[{"id":5140,"fairsharing_record_id":135,"organisation_id":1118,"relation":"maintains","created_at":"2021-09-30T09:27:16.550Z","updated_at":"2021-09-30T09:27:16.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"136","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T19:33:12.000Z","updated_at":"2022-07-20T12:46:55.151Z","metadata":{"name":"Extensible HyperText Markup Language","status":"deprecated","contacts":[{"contact_name":"Steven Pemberton","contact_email":"Steven.Pemberton@cwi.nl"}],"homepage":"http://www.w3.org/TR/xhtml1","identifier":136,"description":"This specification defines the Second Edition of XHTML 1.0, a reformulation of HTML 4 as an XML 1.0 application, and three DTDs corresponding to the ones defined by HTML 4. The semantics of the elements and their attributes are defined in the W3C Recommendation for HTML 4. It is intended to be used as a language for content that is both XML-conforming and, if some simple guidelines are followed, operates in HTML 4 conforming user agents.","abbreviation":"XHTML","year_creation":2000,"deprecation_date":"2019-02-18","deprecation_reason":"This specification is a Superseded Recommendation. A newer specification exists that is recommended for new adoption in place of this specification."},"legacy_ids":["bsg-001242","bsg-s001242"],"name":"FAIRsharing record for: Extensible HyperText Markup Language","abbreviation":"XHTML","url":"https://fairsharing.org/fairsharing_records/136","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This specification defines the Second Edition of XHTML 1.0, a reformulation of HTML 4 as an XML 1.0 application, and three DTDs corresponding to the ones defined by HTML 4. The semantics of the elements and their attributes are defined in the W3C Recommendation for HTML 4. It is intended to be used as a language for content that is both XML-conforming and, if some simple guidelines are followed, operates in HTML 4 conforming user agents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":129,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"101","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:17:21.000Z","updated_at":"2022-10-10T19:32:33.579Z","metadata":{"doi":"10.25504/FAIRsharing.TrcBD2","name":"Chemistry vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/37T/en/","citations":[],"identifier":101,"description":"Controlled vocabulary used for indexing bibliographical records dealing with chemistry in the PASCAL database (1972-2015). It is aligned with the terms of the ChEBI (Chemical Entities of Biological Interest), RXNO (name reaction ontology), MOP (molecular process ontology), REX (Physico-chemical process), FIX (Physico-chemical methods and properties), ontologies and the terms of the IUPAC Gold Book. This resource contains 9150 entries in 2 languages (English and French) grouped under 21 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001411","bsg-s001411"],"name":"FAIRsharing record for: Chemistry vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.TrcBD2","doi":"10.25504/FAIRsharing.TrcBD2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records dealing with chemistry in the PASCAL database (1972-2015). It is aligned with the terms of the ChEBI (Chemical Entities of Biological Interest), RXNO (name reaction ontology), MOP (molecular process ontology), REX (Physico-chemical process), FIX (Physico-chemical methods and properties), ontologies and the terms of the IUPAC Gold Book. This resource contains 9150 entries in 2 languages (English and French) grouped under 21 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11292},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11741}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Organic Chemistry","Inorganic Molecular Chemistry","Organic Molecular Chemistry","Molecular Chemistry","Chemistry","Molecular Physical Chemistry","Theoretical Chemistry","Solid-State Chemistry","Physical Chemistry","Analytical Chemistry","Computational Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":196,"relation":"undefined"}],"grants":[{"id":5088,"fairsharing_record_id":101,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:14.314Z","updated_at":"2021-09-30T09:27:14.314Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5087,"fairsharing_record_id":101,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:14.273Z","updated_at":"2021-09-30T09:27:14.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"102","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:14.856Z","metadata":{"doi":"10.25504/FAIRsharing.zcfp65","name":"Biomedical Resource Ontology","status":"uncertain","contacts":[{"contact_name":"Jessie Tenenbaum","contact_email":"jessie.tenenbaum@duke.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/BRO","identifier":102,"description":"Biomedical Resource Ontology (BRO) enables semantic annotation and discovery of biomedical resources. The biomedical research community relies on a diverse set of resources, both within their own institutions and at other research centers. Without effective means to locate and query these resources, it is challenging, if not impossible, for investigators to be aware of the myriad resources available, or to effectively perform resource discovery when the need arises.","abbreviation":"BRO","support_links":[{"url":"http://groups.google.com/group/bro-discuss","type":"Forum"},{"url":"http://na-mic.org/Wiki/index.php/Biositemaps","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BRO","name":"BRO","portal":"BioPortal"}]},"legacy_ids":["bsg-000047","bsg-s000047"],"name":"FAIRsharing record for: Biomedical Resource Ontology","abbreviation":"BRO","url":"https://fairsharing.org/10.25504/FAIRsharing.zcfp65","doi":"10.25504/FAIRsharing.zcfp65","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biomedical Resource Ontology (BRO) enables semantic annotation and discovery of biomedical resources. The biomedical research community relies on a diverse set of resources, both within their own institutions and at other research centers. Without effective means to locate and query these resources, it is challenging, if not impossible, for investigators to be aware of the myriad resources available, or to effectively perform resource discovery when the need arises.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Social and Behavioural Science","Biomedical Science"],"domains":["Resource metadata"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1505,"pubmed_id":20955817,"title":"The Biomedical Resource Ontology (BRO) to enable resource discovery in clinical and translational research.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.10.003","authors":"Tenenbaum JD,Whetzel PL,Anderson K,Borromeo CD,Dinov ID,Gabriel D,Kirschner B,Mirel B,Morris T,Noy N,Nyulas C,Rubenson D,Saxman PR,Singh H,Whelan N,Wright Z,Athey BD,Becich MJ,Ginsburg GS,Musen MA,Smith KA,Tarantal AF,Rubin DL,Lyster P","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.10.003","created_at":"2021-09-30T08:25:08.487Z","updated_at":"2021-09-30T08:25:08.487Z"}],"licence_links":[],"grants":[{"id":5089,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:27:14.399Z","updated_at":"2021-09-30T09:29:09.536Z","grant_id":118,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR024146-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5090,"fairsharing_record_id":102,"organisation_id":1965,"relation":"funds","created_at":"2021-09-30T09:27:14.448Z","updated_at":"2021-09-30T09:29:17.001Z","grant_id":175,"is_lead":false,"saved_state":{"id":1965,"name":"National Center for Integrative Biomedical Informatics (NCBCS), Ann Arbor, MI, USA","grant":"3U54HG004028-04S1","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7880,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:29:23.330Z","updated_at":"2021-09-30T09:29:23.372Z","grant_id":226,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR024153-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7886,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:29:25.150Z","updated_at":"2021-09-30T09:29:25.203Z","grant_id":240,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"3UL1RR024153-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7996,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:30:18.235Z","updated_at":"2021-09-30T09:30:18.280Z","grant_id":646,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"5UL1RR024128-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8002,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:30:20.465Z","updated_at":"2021-09-30T09:30:20.509Z","grant_id":665,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR025008-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8272,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:31:51.674Z","updated_at":"2021-09-30T09:31:51.721Z","grant_id":1360,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR024986-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8337,"fairsharing_record_id":102,"organisation_id":1965,"relation":"funds","created_at":"2021-09-30T09:32:09.574Z","updated_at":"2021-09-30T09:32:09.627Z","grant_id":1494,"is_lead":false,"saved_state":{"id":1965,"name":"National Center for Integrative Biomedical Informatics (NCBCS), Ann Arbor, MI, USA","grant":"3U54DA021519-04S1","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"103","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.261Z","metadata":{"doi":"10.25504/FAIRsharing.vc9xtj","name":"General Formal Ontology: Biology","status":"ready","contacts":[{"contact_name":"Magnus Knuth","contact_email":"magnus.knuth@imise.uni-leipzig.de"}],"homepage":"http://www.onto-med.de/ontologies/gfo-bio/index.jsp","identifier":103,"description":"GFO-Bio is a biological core ontology based on the top-level ontology General Formal Ontology (GFO).","abbreviation":"GFO-BIO","support_links":[{"url":"https://lists.gnu.org/mailman/listinfo/gfo-users","type":"Mailing list"},{"url":"http://www.onto-med.de/ontologies/gfo/index.jsp#pubs","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GFO-BIO","name":"GFO-BIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002658","bsg-s002658"],"name":"FAIRsharing record for: General Formal Ontology: Biology","abbreviation":"GFO-BIO","url":"https://fairsharing.org/10.25504/FAIRsharing.vc9xtj","doi":"10.25504/FAIRsharing.vc9xtj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GFO-Bio is a biological core ontology based on the top-level ontology General Formal Ontology (GFO).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5091,"fairsharing_record_id":103,"organisation_id":1781,"relation":"maintains","created_at":"2021-09-30T09:27:14.485Z","updated_at":"2021-09-30T09:27:14.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":1781,"name":"Max Planck Institue for Evolutionary Anthropology, Leipzig, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5092,"fairsharing_record_id":103,"organisation_id":2250,"relation":"maintains","created_at":"2021-09-30T09:27:14.521Z","updated_at":"2021-09-30T09:27:14.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2250,"name":"Onto-Med Research Group, Universitat Leipzig, Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"104","type":"fairsharing_records","attributes":{"created_at":"2017-07-31T16:28:23.000Z","updated_at":"2021-11-24T13:16:12.429Z","metadata":{"doi":"10.25504/FAIRsharing.6945dq","name":"Common European Research project Information Format","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"eurocris@eurocris.org"}],"homepage":"http://www.eurocris.org/cerif/main-features-cerif","identifier":104,"description":"This standard allows for a metadata representation of research entities, their activities and interconnections, along with their output. This is captured in highly flexible formal (semantic) relationships, and enables quality maintenance, archiving, access and interchange of research information, so supporting knowledge transfer to decision makers, for research evaluation, research managers, strategists, researchers, editors and the general public.","abbreviation":"CERIF","year_creation":1991},"legacy_ids":["bsg-000716","bsg-s000716"],"name":"FAIRsharing record for: Common European Research project Information Format","abbreviation":"CERIF","url":"https://fairsharing.org/10.25504/FAIRsharing.6945dq","doi":"10.25504/FAIRsharing.6945dq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard allows for a metadata representation of research entities, their activities and interconnections, along with their output. This is captured in highly flexible formal (semantic) relationships, and enables quality maintenance, archiving, access and interchange of research information, so supporting knowledge transfer to decision makers, for research evaluation, research managers, strategists, researchers, editors and the general public.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12942},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13347}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Natural Science"],"domains":["Workflow","Curated information"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Researcher data"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":5093,"fairsharing_record_id":104,"organisation_id":902,"relation":"maintains","created_at":"2021-09-30T09:27:14.564Z","updated_at":"2021-09-30T09:27:14.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":902,"name":"EuroCRIS, Den Haag, the Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"105","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2021-11-24T13:15:37.357Z","metadata":{"doi":"10.25504/FAIRsharing.ca63ce","name":"Fern Ontology","status":"in_development","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"kwsm@dbcls.rois.ac.jp"}],"homepage":"http://bioportal.bioontology.org/ontologies/FO","identifier":105,"description":"Fern Ontology (FO) is a controlled and structured vocabulary of fern specific anatomy and lifecycle.","abbreviation":"FO","support_links":[{"url":"so@dbcls.rois.ac.jp","name":"Shinobu Okamoto","type":"Support email"},{"url":"akanegae@mail.ecc.u-tokyo.ac.jp","name":"Hiromi Kanegae","type":"Support email"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FO","name":"FO","portal":"BioPortal"}]},"legacy_ids":["bsg-000937","bsg-s000937"],"name":"FAIRsharing record for: Fern Ontology","abbreviation":"FO","url":"https://fairsharing.org/10.25504/FAIRsharing.ca63ce","doi":"10.25504/FAIRsharing.ca63ce","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Fern Ontology (FO) is a controlled and structured vocabulary of fern specific anatomy and lifecycle.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Plant Anatomy","Plant Cell Biology"],"domains":["Plant development stage"],"taxonomies":["Polypodiopsida"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[{"id":5094,"fairsharing_record_id":105,"organisation_id":645,"relation":"maintains","created_at":"2021-09-30T09:27:14.606Z","updated_at":"2021-09-30T09:27:14.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":645,"name":"Database Center for Life Science (DBCLS), Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"121","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-31T09:35:03.134Z","metadata":{"doi":"10.25504/FAIRsharing.fd28en","name":"macromolecular Crystallographic Information File","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"pdbx-mmcif-help@mail.wwpdb.org"}],"homepage":"https://mmcif.wwpdb.org/","citations":[{"doi":"10.1016/s0076-6879(97)77032-0","pubmed_id":18488325,"publication_id":1706}],"identifier":121,"description":"PDBx/mmCIF is a dictionary of data archiving macromolecule crystallographic experiments and their results.","abbreviation":"PDBx/mmCIF","support_links":[{"url":"http://mmcif.wwpdb.org/docs/faqs/pdbx-mmcif-faq-general.html","name":"PDBx/mmCIF FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mmcif.wwpdb.org/docs/pdb_to_pdbx_correspondences.html","name":"PDB to PDBx/mmCIF Data Item Correspondences","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Macromolecular_Crystallographic_Information_File","name":"mmCIF Wiki","type":"Wikipedia"},{"url":"https://mmcif.wwpdb.org/docs/tutorials/mechanics/pdbx-mmcif-syntax.html","name":"mmCIF Syntax","type":"Help documentation"},{"url":"https://mmcif.wwpdb.org/dictionaries/mmcif_pdbx_v50.dic/Index/","name":"Current PDBx/mmCIF Dictionary Index (version 5.0)","type":"Help documentation"}],"year_creation":1997,"associated_tools":[{"url":"http://ich.vscht.cz/projects/mmview/","name":"mmView"},{"url":"https://mmcif.wwpdb.org/docs/software-resources.html","name":"PDBx/mmCIF Software Resources"}]},"legacy_ids":["bsg-000290","bsg-s000290"],"name":"FAIRsharing record for: macromolecular Crystallographic Information File","abbreviation":"PDBx/mmCIF","url":"https://fairsharing.org/10.25504/FAIRsharing.fd28en","doi":"10.25504/FAIRsharing.fd28en","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBx/mmCIF is a dictionary of data archiving macromolecule crystallographic experiments and their results.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18240},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11185},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12104}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Molecular biology","Life Science","Biology"],"domains":["Molecular structure","Molecular entity","X-ray crystallography assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":14,"pubmed_id":10842738,"title":"STAR/mmCIF: an ontology for macromolecular structure.","year":2000,"url":"http://doi.org/10.1093/bioinformatics/16.2.159","authors":"Westbrook JD, Bourne PE","journal":"Bioinformatics","doi":"10.1093/bioinformatics/16.2.159","created_at":"2021-09-30T08:22:21.987Z","updated_at":"2021-09-30T08:22:21.987Z"},{"id":1706,"pubmed_id":18488325,"title":"Macromolecular Crystallographic Information File.","year":1997,"url":"http://doi.org/10.1016/s0076-6879(97)77032-0","authors":"Bourne PE,Berman HM,McMahon B,Watenpaugh KD,Westbrook JD,Fitzgerald PM","journal":"Methods Enzymol","doi":"10.1016/s0076-6879(97)77032-0","created_at":"2021-09-30T08:25:31.179Z","updated_at":"2021-09-30T08:25:31.179Z"}],"licence_links":[],"grants":[{"id":11066,"fairsharing_record_id":121,"organisation_id":1534,"relation":"maintains","created_at":"2023-10-30T21:14:38.116Z","updated_at":"2023-10-30T21:14:38.116Z","grant_id":null,"is_lead":true,"saved_state":{"id":1534,"name":"International Union of Crystallography (IUCr), Chester, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"122","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.603Z","metadata":{"doi":"10.25504/FAIRsharing.jx6ea0","name":"CLUSTAL-W Alignment Format","status":"ready","contacts":[{"contact_name":"Prof D.G. Higgins","contact_email":"des.higgins@ucd.ie"}],"homepage":"http://www.clustal.org/clustal2/","identifier":122,"description":"CLUSTAL-W Alignment Format is a simple text-based format, often with a *.aln file extension, used for the input and output of DNA or protein sequences into the Clustal suite of multiple alignment programs.","abbreviation":null,"support_links":[{"url":"clustalw@ucd.ie","name":"General Contact","type":"Support email"},{"url":"http://www.clustal.org/download/clustalw_help.txt","name":"ClustalW Help and Format","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/a-simple-phylogenetic-tree-construction-part-2","name":"A Simple Phylogenetic Tree Construction (part 2)","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/a-simple-phylogenetic-tree-construction-part-1","name":"A Simple Phylogenetic Tree Construction (part 1)","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/multiple-sequence-alignment-and-phylogeny-undergraduate-lab","name":"Multiple sequence alignment and phylogeny - undergraduate lab","type":"TeSS links to training materials"},{"url":"http://www.animalgenome.org/bioinfo/resources/manuals/clustalw.html","name":"Tutorial","type":"Training documentation"}],"year_creation":1993},"legacy_ids":["bsg-000223","bsg-s000223"],"name":"FAIRsharing record for: CLUSTAL-W Alignment Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jx6ea0","doi":"10.25504/FAIRsharing.jx6ea0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CLUSTAL-W Alignment Format is a simple text-based format, often with a *.aln file extension, used for the input and output of DNA or protein sequences into the Clustal suite of multiple alignment programs.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14558}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Biology"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Sequence alignment","Sequence","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Ireland"],"publications":[{"id":1690,"pubmed_id":7984417,"title":"CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.","year":1994,"url":"http://doi.org/10.1093/nar/22.22.4673","authors":"Thompson JD,Higgins DG,Gibson TJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/22.22.4673","created_at":"2021-09-30T08:25:29.401Z","updated_at":"2021-09-30T11:29:18.511Z"},{"id":2758,"pubmed_id":17846036,"title":"Clustal W and Clustal X version 2.0.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm404","authors":"Larkin MA,Blackshields G,Brown NP,Chenna R,McGettigan PA,McWilliam H,Valentin F,Wallace IM,Wilm A,Lopez R,Thompson JD,Gibson TJ,Higgins DG","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm404","created_at":"2021-09-30T08:27:38.980Z","updated_at":"2021-09-30T08:27:38.980Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":488,"relation":"undefined"}],"grants":[{"id":5122,"fairsharing_record_id":122,"organisation_id":2520,"relation":"maintains","created_at":"2021-09-30T09:27:15.802Z","updated_at":"2021-09-30T09:27:15.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":2520,"name":"Science Foundation Ireland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5120,"fairsharing_record_id":122,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:15.733Z","updated_at":"2021-09-30T09:27:15.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5121,"fairsharing_record_id":122,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:27:15.769Z","updated_at":"2021-09-30T09:27:15.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5123,"fairsharing_record_id":122,"organisation_id":608,"relation":"maintains","created_at":"2021-09-30T09:27:15.826Z","updated_at":"2021-09-30T09:27:15.826Z","grant_id":null,"is_lead":true,"saved_state":{"id":608,"name":"Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Ireland","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9253,"fairsharing_record_id":122,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.591Z","updated_at":"2022-04-11T12:07:25.591Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"123","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-23T17:48:27.368Z","metadata":{"doi":"10.25504/FAIRsharing.v32qa1","name":"Pre-Clustering File Format","status":"ready","contacts":[],"homepage":"https://puma.princeton.edu/help/formats.shtml#pcl","citations":[],"identifier":123,"description":"The PCL file format is a tab delimited file format that describes an expression dataset.","abbreviation":null,"support_links":[{"url":"http://yfgdb.princeton.edu/pcl_format.txt","type":"Help documentation"},{"url":"http://software.broadinstitute.org/cancer/software/gsea/wiki/index.php/Data_formats#PCL:_Stanford_cDNA_file_format_.28.2A.pcl.29","type":"Help documentation"},{"url":"https://puma.princeton.edu/index.shtml","name":"About PUMAdb","type":"Other"},{"url":"array@princeton.edu","type":"Support email"}]},"legacy_ids":["bsg-000245","bsg-s000245"],"name":"FAIRsharing record for: Pre-Clustering File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.v32qa1","doi":"10.25504/FAIRsharing.v32qa1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PCL file format is a tab delimited file format that describes an expression dataset.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"PUMAdb Privacy Policy","licence_id":690,"licence_url":"https://puma.princeton.edu/privacy.shtml","link_id":3104,"relation":"applies_to_content"}],"grants":[{"id":10378,"fairsharing_record_id":123,"organisation_id":2357,"relation":"maintains","created_at":"2023-02-23T15:52:16.207Z","updated_at":"2023-02-23T15:52:40.214Z","grant_id":null,"is_lead":true,"saved_state":{"id":2357,"name":"Princeton University, NJ, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"124","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T13:11:28.000Z","updated_at":"2023-09-29T11:54:58.788Z","metadata":{"doi":"10.25504/FAIRsharing.f66eb8","name":"Information technology -- Topic Maps -- Part 2: Data model","status":"ready","contacts":[],"homepage":"https://www.iso.org/standard/40017.html","citations":[],"identifier":124,"description":"ISO/IEC 13250-2:2006 specifies the Topic Maps data model. It defines the abstract structure and interpretation of topic maps, the rules for merging topic maps and a set of fundamental subject identifiers. The purpose of the data model is to define the interpretation of the Topic Maps interchange syntax, and to serve as a foundation for the definition of additional supporting standards including those for canonicalization, querying, and constraints.","abbreviation":"ISO/IEC 13250-2:2006","support_links":[{"url":"https://www.iso.org/contents/data/standard/04/00/40017.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2006},"legacy_ids":["bsg-001281","bsg-s001281"],"name":"FAIRsharing record for: Information technology -- Topic Maps -- Part 2: Data model","abbreviation":"ISO/IEC 13250-2:2006","url":"https://fairsharing.org/10.25504/FAIRsharing.f66eb8","doi":"10.25504/FAIRsharing.f66eb8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO/IEC 13250-2:2006 specifies the Topic Maps data model. It defines the abstract structure and interpretation of topic maps, the rules for merging topic maps and a set of fundamental subject identifiers. The purpose of the data model is to define the interpretation of the Topic Maps interchange syntax, and to serve as a foundation for the definition of additional supporting standards including those for canonicalization, querying, and constraints.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":546,"relation":"undefined"}],"grants":[{"id":5125,"fairsharing_record_id":124,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:27:15.890Z","updated_at":"2021-09-30T09:27:15.890Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10925,"fairsharing_record_id":124,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:17:01.491Z","updated_at":"2023-09-27T14:17:01.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"116","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-15T09:50:45.755Z","metadata":{"doi":"10.25504/FAIRsharing.mwmbpq","name":"Browser Extensible Data Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"https://samtools.github.io/hts-specs/","citations":[],"identifier":116,"description":"BED (Browser Extensible Data) format provides a flexible way to define the data lines that are displayed in an genome annotation track. BED lines have three required fields and nine additional optional fields. The number of fields per line must be consistent throughout any single set of data in an annotation track. The order of the optional fields is binding: lower-numbered fields must always be populated if higher-numbered fields are used.","abbreviation":"BED","support_links":[{"url":"http://genome.ucsc.edu/FAQ/FAQformat.html#format1","name":"General description of format","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/BED_(file_format)","name":"BED Format on Wikipedia","type":"Wikipedia"},{"url":"https://github.com/samtools/hts-specs","name":"GitHub Repository","type":"Github"}]},"legacy_ids":["bsg-000211","bsg-s000211"],"name":"FAIRsharing record for: Browser Extensible Data Format","abbreviation":"BED","url":"https://fairsharing.org/10.25504/FAIRsharing.mwmbpq","doi":"10.25504/FAIRsharing.mwmbpq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BED (Browser Extensible Data) format provides a flexible way to define the data lines that are displayed in an genome annotation track. BED lines have three required fields and nine additional optional fields. The number of fields per line must be consistent throughout any single set of data in an annotation track. The order of the optional fields is binding: lower-numbered fields must always be populated if higher-numbered fields are used.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11167},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12006},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12440}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5114,"fairsharing_record_id":116,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:15.473Z","updated_at":"2021-09-30T09:27:15.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11090,"fairsharing_record_id":116,"organisation_id":2887,"relation":"maintains","created_at":"2023-11-15T09:41:23.988Z","updated_at":"2023-11-15T09:41:23.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":11092,"fairsharing_record_id":116,"organisation_id":116,"relation":"maintains","created_at":"2023-11-15T09:42:26.103Z","updated_at":"2023-11-15T09:42:26.103Z","grant_id":null,"is_lead":true,"saved_state":{"id":116,"name":"Global Alliance for Genomics and Health","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11091,"fairsharing_record_id":116,"organisation_id":4172,"relation":"maintains","created_at":"2023-11-15T09:41:23.989Z","updated_at":"2023-11-15T09:41:23.989Z","grant_id":null,"is_lead":true,"saved_state":{"id":4172,"name":"Samtools","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"117","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.940Z","metadata":{"doi":"10.25504/FAIRsharing.p7yp7c","name":"Affymetrix Raw Intensity Format","status":"ready","homepage":"http://www.affymetrix.com/estore/support/developer/powertools/changelog/gcos-agcc/cel.html.affx","identifier":117,"description":"The CEL file stores the results of the intensity calculations on the pixel values of the DAT file. This includes an intensity value, standard deviation of the intensity, the number of pixels used to calculate the intensity value, a flag to indicate an outlier as calculated by the algorithm and a user defined flag indicating the feature should be excluded from future analysis. The file stores the previously stated data for each feature on the probe array.","abbreviation":null,"support_links":[{"url":"http://www.affymetrix.com/estore/browse/tech_support.jsp","type":"Contact form"}],"year_creation":2009},"legacy_ids":["bsg-000219","bsg-s000219"],"name":"FAIRsharing record for: Affymetrix Raw Intensity Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.p7yp7c","doi":"10.25504/FAIRsharing.p7yp7c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CEL file stores the results of the intensity calculations on the pixel values of the DAT file. This includes an intensity value, standard deviation of the intensity, the number of pixels used to calculate the intensity value, a flag to indicate an outlier as calculated by the algorithm and a user defined flag indicating the feature should be excluded from future analysis. The file stores the previously stated data for each feature on the probe array.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"118","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-16T15:06:09.559Z","metadata":{"doi":"10.25504/FAIRsharing.7hp91k","name":"CHARMM Card File Format","status":"ready","contacts":[{"contact_name":"Michael Feig","contact_email":"feig@msu.edu"}],"homepage":"https://www.charmm.org/archive/charmm/documentation/by-version/c45b1/io.html","citations":[],"identifier":118,"description":"CHARMM (Chemistry at HARvard Macromolecular Mechanics) is a computational package used for classical, quantum and hybrid quantum/classical simulations. The CHARMM Card File Format (.CRD) stores the standard Cartesian coordinates of the atoms in the system and keeps track of additional molecule information that can be useful for manipulation (i.e. residue name, segment name, segment id, resdiue id, etc.).","abbreviation":"CRD","support_links":[{"url":"charmm_development_project@tammy.harvard.edu","type":"Support email"},{"url":"https://charmm-gui.org/charmmdoc/io.html","type":"Help documentation"}]},"legacy_ids":["bsg-000217","bsg-s000217"],"name":"FAIRsharing record for: CHARMM Card File Format","abbreviation":"CRD","url":"https://fairsharing.org/10.25504/FAIRsharing.7hp91k","doi":"10.25504/FAIRsharing.7hp91k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CHARMM (Chemistry at HARvard Macromolecular Mechanics) is a computational package used for classical, quantum and hybrid quantum/classical simulations. The CHARMM Card File Format (.CRD) stores the standard Cartesian coordinates of the atoms in the system and keeps track of additional molecule information that can be useful for manipulation (i.e. residue name, segment name, segment id, resdiue id, etc.).","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11716}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Atomic coordinate","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1692,"pubmed_id":null,"title":"CHARMM: A program for macromolecular energy, minimization, and dynamics calculations","year":1983,"url":"http://doi.org/10.1002/jcc.540040211","authors":"Bernard R. Brooks, Robert E. Bruccoleri, Barry D. Olafson, David J. States, S. Swaminathan, Martin Karplus","journal":"Journal of Computational Chemistry","doi":"10.1002/jcc.540040211","created_at":"2021-09-30T08:25:29.620Z","updated_at":"2021-09-30T08:25:29.620Z"},{"id":1693,"pubmed_id":null,"title":"CHARMM: The Energy Function and Its Parameterization","year":2002,"url":"http://doi.org/10.1002/0470845015.cfa007","authors":"Alexander D. MacKerell Jr., Bernard Brooks, Charles L. Brooks III, Lennart Nilsson, Benoit Roux, Youngdo Won, Martin Karplus,","journal":"Encyclopedia of Computational Chemistry","doi":"10.1002/0470845015.cfa007","created_at":"2021-09-30T08:25:29.733Z","updated_at":"2021-09-30T08:25:29.733Z"}],"licence_links":[],"grants":[{"id":5115,"fairsharing_record_id":118,"organisation_id":496,"relation":"maintains","created_at":"2021-09-30T09:27:15.512Z","updated_at":"2021-09-30T09:27:15.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":496,"name":"CHARMM","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"114","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:46:16.319Z","metadata":{"doi":"10.25504/FAIRsharing.r2ts5t","name":"FASTQ Sequence and Sequence Quality Format","status":"ready","contacts":[],"homepage":"http://news.open-bio.org/news/2009/12/nar-fastq-format/","citations":[],"identifier":114,"description":"FASTQ is a text-based file format for sharing sequencing data combining both the sequence and an associated per base quality score.","abbreviation":null,"year_creation":2008},"legacy_ids":["bsg-000229","bsg-s000229"],"name":"FAIRsharing record for: FASTQ Sequence and Sequence Quality Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.r2ts5t","doi":"10.25504/FAIRsharing.r2ts5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FASTQ is a text-based file format for sharing sequencing data combining both the sequence and an associated per base quality score.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18271},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11166},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11861},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12005},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16919}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["Experimental measurement","Deoxyribonucleic acid","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1696,"pubmed_id":20015970,"title":"The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1137","authors":"Cock PJ,Fields CJ,Goto N,Heuer ML,Rice PM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1137","created_at":"2021-09-30T08:25:30.102Z","updated_at":"2021-09-30T11:29:18.702Z"}],"licence_links":[],"grants":[{"id":5109,"fairsharing_record_id":114,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:15.273Z","updated_at":"2021-09-30T09:29:12.277Z","grant_id":138,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/D018358/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5107,"fairsharing_record_id":114,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:15.151Z","updated_at":"2021-09-30T09:27:15.151Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7985,"fairsharing_record_id":114,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:15.594Z","updated_at":"2021-09-30T09:30:15.651Z","grant_id":625,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBR/G02264X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9252,"fairsharing_record_id":114,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.538Z","updated_at":"2022-04-11T12:07:25.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"115","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.865Z","metadata":{"doi":"10.25504/FAIRsharing.wjwb5c","name":"CHADO XML","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@gmod.org"}],"homepage":"http://gmod.org/wiki/Chado_XML","identifier":115,"description":"Chado is a modular schema covering many aspects of biology, not just sequence data. Chado-XML has exactly the same scope as the Chado schema.","abbreviation":"CHADO XML","support_links":[{"url":"http://gmod.org/wiki/Chado_FAQ","type":"Frequently Asked Questions (FAQs)"}]},"legacy_ids":["bsg-000220","bsg-s000220"],"name":"FAIRsharing record for: CHADO XML","abbreviation":"CHADO XML","url":"https://fairsharing.org/10.25504/FAIRsharing.wjwb5c","doi":"10.25504/FAIRsharing.wjwb5c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chado is a modular schema covering many aspects of biology, not just sequence data. Chado-XML has exactly the same scope as the Chado schema.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1705,"pubmed_id":18428772,"title":"Using Chado to store genome annotation data.","year":2008,"url":"http://doi.org/10.1002/0471250953.bi0906s12","authors":"Zhou P,Emmert D,Zhang P","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0906s12","created_at":"2021-09-30T08:25:31.070Z","updated_at":"2021-09-30T08:25:31.070Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License","licence_id":353,"licence_url":"http://www.gnu.org/licenses/fdl-1.3.html","link_id":579,"relation":"undefined"}],"grants":[{"id":5110,"fairsharing_record_id":115,"organisation_id":1102,"relation":"maintains","created_at":"2021-09-30T09:27:15.310Z","updated_at":"2021-09-30T09:27:15.310Z","grant_id":null,"is_lead":false,"saved_state":{"id":1102,"name":"Generic Model Organisms Database (GMOD)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5112,"fairsharing_record_id":115,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:27:15.390Z","updated_at":"2021-09-30T09:27:15.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5113,"fairsharing_record_id":115,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:15.432Z","updated_at":"2021-09-30T09:27:15.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5111,"fairsharing_record_id":115,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:15.348Z","updated_at":"2021-09-30T09:29:52.554Z","grant_id":446,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"5U24GM077905-0","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8101,"fairsharing_record_id":115,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:58.163Z","updated_at":"2021-09-30T09:30:58.217Z","grant_id":958,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1R01HG004483-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"112","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.595Z","metadata":{"doi":"10.25504/FAIRsharing.665mts","name":"Big Browser Extensible Data Format","status":"ready","contacts":[{"contact_name":"Donna Karolchik","contact_email":"donnak@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigBed.html","identifier":112,"description":"The bigBed format stores annotation items that can either be simple, or a linked collection of exons, much as BED files do. BigBed files are created initially from BED type files, using the program bedToBigBed. The resulting bigBed files are in an indexed binary format. The main advantage of the bigBed files is that only the portions of the files needed to display a particular region are transferred to UCSC, so for large data sets bigBed is considerably faster than regular BED files.","abbreviation":"BigBed","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"},{"url":"genome@soe.ucsc.edu","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-000212","bsg-s000212"],"name":"FAIRsharing record for: Big Browser Extensible Data Format","abbreviation":"BigBed","url":"https://fairsharing.org/10.25504/FAIRsharing.665mts","doi":"10.25504/FAIRsharing.665mts","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigBed format stores annotation items that can either be simple, or a linked collection of exons, much as BED files do. BigBed files are created initially from BED type files, using the program bedToBigBed. The resulting bigBed files are in an indexed binary format. The main advantage of the bigBed files is that only the portions of the files needed to display a particular region are transferred to UCSC, so for large data sets bigBed is considerably faster than regular BED files.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11995}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1760,"pubmed_id":24227676,"title":"Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt637","authors":"Raney BJ,Dreszer TR,Barber GP,Clawson H,Fujita PA,Wang T,Nguyen N,Paten B,Zweig AS,Karolchik D,Kent WJ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt637","created_at":"2021-09-30T08:25:37.489Z","updated_at":"2021-09-30T08:25:37.489Z"},{"id":1761,"pubmed_id":20639541,"title":"BigWig and BigBed: enabling browsing of large distributed datasets.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq351","authors":"Kent WJ,Zweig AS,Barber G,Hinrichs AS,Karolchik D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq351","created_at":"2021-09-30T08:25:37.597Z","updated_at":"2021-09-30T08:25:37.597Z"}],"licence_links":[],"grants":[{"id":8363,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:15.575Z","updated_at":"2021-09-30T09:32:15.619Z","grant_id":1537,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"P41HG002371","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5104,"fairsharing_record_id":112,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:15.037Z","updated_at":"2021-09-30T09:27:15.037Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5105,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:15.082Z","updated_at":"2021-09-30T09:31:41.336Z","grant_id":1284,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5P41HG002371-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5103,"fairsharing_record_id":112,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:14.998Z","updated_at":"2021-09-30T09:29:09.117Z","grant_id":115,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U01ES017154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8318,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:03.501Z","updated_at":"2021-09-30T09:32:03.561Z","grant_id":1449,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U41HG004568-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8482,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:50.869Z","updated_at":"2021-09-30T09:32:50.928Z","grant_id":1804,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41HG004568","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8486,"fairsharing_record_id":112,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:51.786Z","updated_at":"2021-09-30T09:32:51.837Z","grant_id":1810,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HG007354","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"113","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:39.940Z","metadata":{"doi":"10.25504/FAIRsharing.dyqz3y","name":"Ascomycete Phenotype Ontology","status":"ready","contacts":[{"contact_name":"J. Michael Cherry","contact_email":"cherry@stanford.edu","contact_orcid":"0000-0001-9163-5180"}],"homepage":"http://bioportal.bioontology.org/ontologies/APO?p=summary","identifier":113,"description":"Ascomycete Phenotype Ontology is a structured controlled vocabulary for the phenotypes of Ascomycete fungi.","abbreviation":"APO","support_links":[{"url":"sgd-helpdesk@lists.stanford.edu","type":"Support email"},{"url":"https://twitter.com/yeastgenome","type":"Twitter"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/APO","name":"APO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/apo.html","name":"apo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000128","bsg-s000128"],"name":"FAIRsharing record for: Ascomycete Phenotype Ontology","abbreviation":"APO","url":"https://fairsharing.org/10.25504/FAIRsharing.dyqz3y","doi":"10.25504/FAIRsharing.dyqz3y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ascomycete Phenotype Ontology is a structured controlled vocabulary for the phenotypes of Ascomycete fungi.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Cell Biology"],"domains":["Mutation","Study design","Phenotype","Morphology","Life cycle stage"],"taxonomies":["Ascomycota"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5106,"fairsharing_record_id":113,"organisation_id":2479,"relation":"maintains","created_at":"2021-09-30T09:27:15.119Z","updated_at":"2021-09-30T09:27:15.119Z","grant_id":null,"is_lead":false,"saved_state":{"id":2479,"name":"Saccharomyces Genome Database","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"119","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T11:14:03.293Z","metadata":{"doi":"10.25504/FAIRsharing.qw67v6","name":"Adverse Drug Reaction Markup Language","status":"deprecated","contacts":[],"homepage":"https://www.euadr-project.org","citations":[],"identifier":119,"description":"The Adverse Drug Reaction Markup Language (EU-ADR ML) was created to as part of the EU-ADR project. The ultimate aim of this project was to develop an innovative approach to the early detection of adverse drug reactions. The status of this format is uncertain as FAIRsharing cannot find documentation for the format itself beyond what is available in this record.","abbreviation":"EU-ADR ML","support_links":[{"url":"https://bioinformatics.ua.pt/euadr/public/guide.pdf","type":"Help documentation"},{"url":"http://sourceforge.net/projects/cml/","type":"Help documentation"}],"deprecation_date":"2023-03-23","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000224","bsg-s000224"],"name":"FAIRsharing record for: Adverse Drug Reaction Markup Language","abbreviation":"EU-ADR ML","url":"https://fairsharing.org/10.25504/FAIRsharing.qw67v6","doi":"10.25504/FAIRsharing.qw67v6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adverse Drug Reaction Markup Language (EU-ADR ML) was created to as part of the EU-ADR project. The ultimate aim of this project was to develop an innovative approach to the early detection of adverse drug reactions. The status of this format is uncertain as FAIRsharing cannot find documentation for the format itself beyond what is available in this record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Pharmacy","Pharmacology"],"domains":["Drug","Electronic health record","Adverse Reaction","Disease","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":2106,"pubmed_id":19745234,"title":"The EU-ADR project: preliminary results and perspective.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19745234","authors":"Trifiro G,Fourrier-Reglat A,Sturkenboom MC,Diaz Acedo C,Van Der Lei J","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-60750-043-8-43","created_at":"2021-09-30T08:26:17.365Z","updated_at":"2021-09-30T08:26:17.365Z"}],"licence_links":[],"grants":[{"id":5116,"fairsharing_record_id":119,"organisation_id":890,"relation":"funds","created_at":"2021-09-30T09:27:15.544Z","updated_at":"2021-09-30T09:27:15.544Z","grant_id":null,"is_lead":false,"saved_state":{"id":890,"name":"EU FP7 EU-ADR","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"144","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-03-03T09:45:46.271Z","metadata":{"doi":"10.25504/FAIRsharing.4xrzw1","name":"Dot Bracket Notation (DBN) - Vienna Format","status":"deprecated","contacts":[{"contact_name":"Contact","contact_email":"rna@tbi.univie.ac.at"}],"homepage":"https://www.tbi.univie.ac.at/RNA/ViennaRNA/doc/html/rna_structure_notations.html#dot-bracket-notation","citations":[],"identifier":144,"description":"The bracket notation for RNA secondary structures Pseudo-knot free secondary structures can be represented in the space-efficient bracket notation, which is used throughout the Vienna RNA package.","abbreviation":"DBN","deprecation_date":"2022-03-03","deprecation_reason":"This ontology is inactive. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000296","bsg-s000296"],"name":"FAIRsharing record for: Dot Bracket Notation (DBN) - Vienna Format","abbreviation":"DBN","url":"https://fairsharing.org/10.25504/FAIRsharing.4xrzw1","doi":"10.25504/FAIRsharing.4xrzw1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bracket notation for RNA secondary structures Pseudo-knot free secondary structures can be represented in the space-efficient bracket notation, which is used throughout the Vienna RNA package.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12088}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":1710,"pubmed_id":18428716,"title":"RNA secondary structure analysis using the Vienna RNA package.","year":2008,"url":"http://doi.org/10.1002/0471250953.bi1202s04","authors":"Hofacker IL","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi1202s04","created_at":"2021-09-30T08:25:31.612Z","updated_at":"2021-09-30T08:25:31.612Z"}],"licence_links":[],"grants":[{"id":5154,"fairsharing_record_id":144,"organisation_id":1397,"relation":"maintains","created_at":"2021-09-30T09:27:17.049Z","updated_at":"2021-09-30T09:27:17.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1397,"name":"Institute for Theoretical Chemistry, Vienna, Austria","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"145","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T09:27:55.914Z","metadata":{"doi":"10.25504/FAIRsharing.xvsv9z","name":"Biospecimen Reporting for Improved Study Quality","status":"ready","contacts":[{"contact_name":"Andrea Kelly","contact_email":"kellya2@mail.nih.gov"}],"homepage":"https://www.equator-network.org/reporting-guidelines/brisq/","citations":[],"identifier":145,"description":"The Biospecimen Reporting for Improved Study Quality (BRISQ) recommendations outlined are intended to apply to any study in which human biospecimens are used. The BRISQ guidelines are proposed as an important and timely resource tool to strengthen communication and publications around biospecimen-related research and help reassure patient contributors and the advocacy community that the contributions are valued and respected. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available.","abbreviation":"BRISQ"},"legacy_ids":["bsg-000550","bsg-s000550"],"name":"FAIRsharing record for: Biospecimen Reporting for Improved Study Quality","abbreviation":"BRISQ","url":"https://fairsharing.org/10.25504/FAIRsharing.xvsv9z","doi":"10.25504/FAIRsharing.xvsv9z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biospecimen Reporting for Improved Study Quality (BRISQ) recommendations outlined are intended to apply to any study in which human biospecimens are used. The BRISQ guidelines are proposed as an important and timely resource tool to strengthen communication and publications around biospecimen-related research and help reassure patient contributors and the advocacy community that the contributions are valued and respected. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12054},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12481}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Preclinical Studies"],"domains":["Biobank","Quality control","Biological sample"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","France","Netherlands","United States"],"publications":[{"id":615,"pubmed_id":21574648,"title":"Biospecimen reporting for improved study quality (BRISQ)","year":2011,"url":"http://doi.org/10.1021/pr200021n","authors":"Moore HM, Kelly AB, Jewell SD, McShane LM, Clark DP, Greenspan R, Hayes DF, Hainaut P, Kim P, Mansfield E, Potapova O, Riegman P, Rubinstein Y, Seijo E, Somiari S, Watson P, Weier HU, Zhu C, Vaught J.","journal":"J Proteome Res.","doi":"10.1021/pr200021n","created_at":"2021-09-30T08:23:27.593Z","updated_at":"2021-09-30T08:23:27.593Z"}],"licence_links":[],"grants":[{"id":5156,"fairsharing_record_id":145,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:17.127Z","updated_at":"2021-09-30T09:31:09.483Z","grant_id":1044,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001E","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5155,"fairsharing_record_id":145,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:27:17.091Z","updated_at":"2021-09-30T09:27:17.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5157,"fairsharing_record_id":145,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:17.167Z","updated_at":"2021-09-30T09:30:42.740Z","grant_id":834,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"CA136685","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"146","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-07-20T12:28:43.081Z","metadata":{"doi":"10.25504/FAIRsharing.spjjv8","name":"Functional Therapeutic Chemical Classification System","status":"ready","contacts":[{"contact_name":"Samuel Croset","contact_email":"samuel.croset@gmail.com"}],"homepage":"https://github.com/loopasam/ftc","citations":[{"doi":"10.1093/bioinformatics/btt628","pubmed_id":24177719,"publication_id":2338}],"identifier":146,"description":"The Functional Therapeutic Chemical Classification System (FTC) defines over 20,000 mechanisms and modes of action for approved drugs. The resource abstracts away from the traditional chemical structure-based approach and focuses solely on the mode of action of drugs. The classification sorts therapeutic agents based on their function in the human body. Please note that this resource is no longer actively maintained (source: https://github.com/loopasam/ftc/issues/1).","abbreviation":"FTC","support_links":[{"url":"https://github.com/loopasam/ftc/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FTC","name":"FTC","portal":"BioPortal"}]},"legacy_ids":["bsg-000851","bsg-s000851"],"name":"FAIRsharing record for: Functional Therapeutic Chemical Classification System","abbreviation":"FTC","url":"https://fairsharing.org/10.25504/FAIRsharing.spjjv8","doi":"10.25504/FAIRsharing.spjjv8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Functional Therapeutic Chemical Classification System (FTC) defines over 20,000 mechanisms and modes of action for approved drugs. The resource abstracts away from the traditional chemical structure-based approach and focuses solely on the mode of action of drugs. The classification sorts therapeutic agents based on their function in the human body. Please note that this resource is no longer actively maintained (source: https://github.com/loopasam/ftc/issues/1).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18261}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Repositioning"],"domains":["Drug","Classification","Approved drug"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2338,"pubmed_id":24177719,"title":"The functional therapeutic chemical classification system.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt628","authors":"Croset S,Overington JP,Rebholz-Schuhmann D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt628","created_at":"2021-09-30T08:26:47.152Z","updated_at":"2021-09-30T08:26:47.152Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":292,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":400,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":402,"relation":"undefined"}],"grants":[{"id":5159,"fairsharing_record_id":146,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:17.245Z","updated_at":"2021-09-30T09:27:17.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5158,"fairsharing_record_id":146,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:17.209Z","updated_at":"2021-09-30T09:27:17.209Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"158","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:56.589Z","metadata":{"doi":"10.25504/FAIRsharing.17zapb","name":"Xenopus Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Erik Segerdell","contact_email":"segerdel@ohsu.edu","contact_orcid":"0000-0002-9611-1279"}],"homepage":"http://www.xenbase.org/anatomy/xao.do?method=display","citations":[],"identifier":158,"description":"The Xenopus Anatomical Ontology (XAO) describes Xenopus anatomy and embryological development using a 'controlled vocabulary' of anatomy terms that are organized in an hierarchy with a graphical structure. XAO terms describe gene expression, and the XAO is constantly being updated in response to the latest published Xenopus research.","abbreviation":"XAO","support_links":[{"url":"xenbase@ucalgary.ca","name":"General contact","type":"Support email"},{"url":"http://www.xenbase.org/geneExpression/static/XpatSearchTips/XpatSearchTips.jsp#Anatomy","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/XAO","name":"XAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/xao.html","name":"xao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000034","bsg-s000034"],"name":"FAIRsharing record for: Xenopus Anatomy Ontology","abbreviation":"XAO","url":"https://fairsharing.org/10.25504/FAIRsharing.17zapb","doi":"10.25504/FAIRsharing.17zapb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Xenopus Anatomical Ontology (XAO) describes Xenopus anatomy and embryological development using a 'controlled vocabulary' of anatomy terms that are organized in an hierarchy with a graphical structure. XAO terms describe gene expression, and the XAO is constantly being updated in response to the latest published Xenopus research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Morphology","Structure","Life cycle","Life cycle stage"],"taxonomies":["Xenopus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":970,"pubmed_id":24139024,"title":"Enhanced XAO: the ontology of Xenopus anatomy and development underpins more accurate annotation of gene expression and queries on Xenbase.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-31","authors":"Segerdell E,Ponferrada VG,James-Zorn C,Burns KA,Fortriede JD,Dahdul WM,Vize PD,Zorn AM","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-31","created_at":"2021-09-30T08:24:07.313Z","updated_at":"2021-09-30T08:24:07.313Z"},{"id":1039,"pubmed_id":18817563,"title":"An ontology for Xenopus anatomy and development.","year":2008,"url":"http://doi.org/10.1186/1471-213X-8-92","authors":"Segerdell E,Bowes JB,Pollet N,Vize PD","journal":"BMC Dev Biol","doi":"10.1186/1471-213X-8-92","created_at":"2021-09-30T08:24:15.040Z","updated_at":"2021-09-30T08:24:15.040Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1612,"relation":"undefined"}],"grants":[{"id":5183,"fairsharing_record_id":158,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:18.103Z","updated_at":"2021-09-30T09:29:16.426Z","grant_id":170,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HD045776-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5181,"fairsharing_record_id":158,"organisation_id":3264,"relation":"maintains","created_at":"2021-09-30T09:27:18.053Z","updated_at":"2021-09-30T09:27:18.053Z","grant_id":null,"is_lead":false,"saved_state":{"id":3264,"name":"Xenbase administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5182,"fairsharing_record_id":158,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:27:18.077Z","updated_at":"2021-09-30T09:32:07.064Z","grant_id":1476,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"P41 HD064556","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"159","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:23.915Z","metadata":{"doi":"10.25504/FAIRsharing.vywjrq","name":"New Taxonomy database","status":"deprecated","contacts":[{"contact_name":"Maria-Jesus Martin","contact_email":"support@ebi.ac.uk"}],"homepage":"http://www.uniprot.org/taxonomy/","citations":[{"doi":"10.1093/nar/gkg516","pubmed_id":12824428,"publication_id":2440}],"identifier":159,"description":"While the original homepage was http://www.ebi.ac.uk/newt/, this link no longer works as NEWT is deprecated. Therefore, to have a valid homepage, a link has been provided to the resource that should be used instead.","abbreviation":"NEWT","year_creation":2002,"deprecation_date":"2015-04-21","deprecation_reason":"This resource is obsolete and has been deprecated by its developers."},"legacy_ids":["bsg-000295","bsg-s000295"],"name":"FAIRsharing record for: New Taxonomy database","abbreviation":"NEWT","url":"https://fairsharing.org/10.25504/FAIRsharing.vywjrq","doi":"10.25504/FAIRsharing.vywjrq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: While the original homepage was http://www.ebi.ac.uk/newt/, this link no longer works as NEWT is deprecated. Therefore, to have a valid homepage, a link has been provided to the resource that should be used instead.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2440,"pubmed_id":12824428,"title":"NEWT, a new taxonomy portal.","year":2003,"url":"http://doi.org/10.1093/nar/gkg516","authors":"Phan IQ,Pilbout SF,Fleischmann W,Bairoch A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg516","created_at":"2021-09-30T08:26:59.308Z","updated_at":"2021-09-30T11:29:35.994Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":498,"relation":"undefined"}],"grants":[{"id":5184,"fairsharing_record_id":159,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:18.127Z","updated_at":"2021-09-30T09:27:18.127Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9228,"fairsharing_record_id":159,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.902Z","updated_at":"2022-04-11T12:07:23.902Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"160","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-08T07:25:39.704Z","metadata":{"doi":"10.25504/FAIRsharing.21gwxs","name":"WHO Adverse Reaction Terminology","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"support@who.int"}],"homepage":"https://who-umc.org/vigibase/vigibase-services/who-art/","citations":[],"identifier":160,"description":"The World Health Organization Adverse Drug Reaction Terminology (WHO-ART) was developed and maintained by the WHO Collaborating Centre for International Drug Monitoring Uppsala Monitoring Centre (UMC). The WHO-ART collection is used for coding clinical information related to adverse drug reactions as a standardization collection of vocabulary/terminology for adverse reactions. ","abbreviation":"WHO-ART","support_links":[{"url":"https://who-umc.org/contact-information/help-and-support/","name":"User Request Form","type":"Contact form"}],"year_creation":1997,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WHO-ART","name":"WHO-ART","portal":"BioPortal"},{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/WHO/index.html","name":"UMLS Vocabularies","portal":"Other"}],"deprecation_date":"2023-08-07","deprecation_reason":"The WHO Adverse Reaction Terminology (WHO-ART) is a legacy UMC coding service tool that is no longer actively maintained and has since been depreciated by MedDRA ontology. Although WHO-ART has been officially deprecated since 2015, any user who requires it for a specific purpose should contact UMC as indicated. Until 2008, when MedDRA (Medical Dictionary for Regulatory Activities) was implemented, WHO-ART was the only available terminology for coding adverse drug reactions in VigiBase. Most users should now use MedDRA as their preferred coding choice."},"legacy_ids":["bsg-002601","bsg-s002601"],"name":"FAIRsharing record for: WHO Adverse Reaction Terminology","abbreviation":"WHO-ART","url":"https://fairsharing.org/10.25504/FAIRsharing.21gwxs","doi":"10.25504/FAIRsharing.21gwxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Health Organization Adverse Drug Reaction Terminology (WHO-ART) was developed and maintained by the WHO Collaborating Centre for International Drug Monitoring Uppsala Monitoring Centre (UMC). The WHO-ART collection is used for coding clinical information related to adverse drug reactions as a standardization collection of vocabulary/terminology for adverse reactions. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Ontology and Terminology"],"domains":["Adverse Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":1507,"relation":"undefined"}],"grants":[{"id":10819,"fairsharing_record_id":160,"organisation_id":4083,"relation":"maintains","created_at":"2023-08-07T20:55:57.522Z","updated_at":"2023-08-07T20:55:57.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":4083,"name":"World Health Organization (WHO) Collaborating Centre for International Drug Monitoring, Uppsala Monitoring Centre (UMC)","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5186,"fairsharing_record_id":160,"organisation_id":3252,"relation":"associated_with","created_at":"2021-09-30T09:27:18.177Z","updated_at":"2023-08-07T20:55:57.620Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"161","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:17.000Z","updated_at":"2022-07-20T12:31:09.585Z","metadata":{"doi":"10.25504/FAIRsharing.DfMGZW","name":"FAIR Maturity Indicator Gen2-MI-A1.1","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_A1.1.md","identifier":161,"description":"The FAIR Maturity Indicator Gen2-MI-A1.1 measures if the resolution protocol is universally implementable with an open protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001369","bsg-s001369"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-A1.1","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.DfMGZW","doi":"10.25504/FAIRsharing.DfMGZW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-A1.1 measures if the resolution protocol is universally implementable with an open protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13194},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13205},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13225},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13255},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13270},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20168}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1480,"relation":"undefined"}],"grants":[{"id":5188,"fairsharing_record_id":161,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:18.232Z","updated_at":"2021-09-30T09:27:18.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5187,"fairsharing_record_id":161,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:18.204Z","updated_at":"2021-09-30T09:27:18.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5189,"fairsharing_record_id":161,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:18.263Z","updated_at":"2021-09-30T09:27:18.263Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5190,"fairsharing_record_id":161,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:18.290Z","updated_at":"2021-09-30T09:27:18.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"140","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T10:44:26.924Z","metadata":{"doi":"10.25504/FAIRsharing.qv4b3c","name":"Simplified Molecular Input Line Entry Specification Format","status":"ready","contacts":[],"homepage":"http://opensmiles.org/opensmiles.html","citations":[],"identifier":140,"description":"This format is an open specification version of the SMILES language, a typographical line notation for specifying chemical structure. It is hosted under the banner of the Blue Obelisk project, with the intent to solicit contributions and comments from the entire computational chemistry community.","abbreviation":"SMILES","support_links":[{"url":"http://www.daylight.com/dayhtml/doc/theory/theory.smiles.html","name":"External documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Simplified_molecular-input_line-entry_system","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"http://openbabel.org/docs/FileFormats/SMILES_format.html","name":"SMILES format","type":"Help documentation"},{"url":"https://github.com/opensmiles","name":"OpenSMILES GitHub Organization","type":"Github"},{"url":"http://opensmiles.org/opensmiles.html","name":"OpenSMILES Specification","type":"Help documentation"},{"url":"https://sourceforge.net/projects/blueobelisk/lists/blueobelisk-discuss","name":"Mailing List: blueobelisk","type":"Contact form"}],"year_creation":1980},"legacy_ids":["bsg-000264","bsg-s000264"],"name":"FAIRsharing record for: Simplified Molecular Input Line Entry Specification Format","abbreviation":"SMILES","url":"https://fairsharing.org/10.25504/FAIRsharing.qv4b3c","doi":"10.25504/FAIRsharing.qv4b3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This format is an open specification version of the SMILES language, a typographical line notation for specifying chemical structure. It is hosted under the banner of the Blue Obelisk project, with the intent to solicit contributions and comments from the entire computational chemistry community.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10857},{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10920},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11041},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12079}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1716,"pubmed_id":null,"title":"SMILES. 2. Algorithm for generation of unique SMILES notation","year":1989,"url":"http://doi.org/10.1021/ci00062a008","authors":"Weininger D, Weininger A, Weininger JL","journal":"Journal of Chemical Information and Modeling.","doi":"10.1021/ci00062a008","created_at":"2021-09-30T08:25:32.253Z","updated_at":"2021-09-30T08:25:32.253Z"},{"id":1726,"pubmed_id":23031664,"title":"mol2chemfig, a tool for rendering chemical structures from molfile or SMILES format to LATE X code.","year":2012,"url":"http://doi.org/10.1186/1758-2946-4-24","authors":"Brefo-Mensah EK,Palmer M","journal":"J Cheminform","doi":"10.1186/1758-2946-4-24","created_at":"2021-09-30T08:25:33.446Z","updated_at":"2021-09-30T08:25:33.446Z"},{"id":1727,"pubmed_id":null,"title":"SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules","year":1988,"url":"http://doi.org/10.1021/ci00057a005","authors":"Weininger D.","journal":"Journal of Chemical Information and Modeling","doi":"10.1021/ci00057a005","created_at":"2021-09-30T08:25:33.554Z","updated_at":"2021-09-30T08:25:33.554Z"},{"id":1728,"pubmed_id":null,"title":"SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules","year":1990,"url":"http://doi.org/10.1021/ci00067a005","authors":"Weininger D.","journal":"Journal of Chemical Information and Modeling.","doi":"10.1021/ci00067a005","created_at":"2021-09-30T08:25:33.662Z","updated_at":"2021-09-30T08:25:33.662Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License 1.2","licence_id":354,"licence_url":"https://www.gnu.org/licenses/old-licenses/fdl-1.2.en.html","link_id":2573,"relation":"applies_to_content"}],"grants":[{"id":5148,"fairsharing_record_id":140,"organisation_id":288,"relation":"maintains","created_at":"2021-09-30T09:27:16.845Z","updated_at":"2021-09-30T09:27:16.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":288,"name":"Blue Obelisk","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBazRFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--047d6c77b3abf77702d511a7e6a66acd8eb554b8/19335777.jpg?disposition=inline","exhaustive_licences":false}},{"id":"141","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T18:57:16.000Z","updated_at":"2022-07-20T12:46:04.744Z","metadata":{"doi":"10.25504/FAIRsharing.e2zy7j","name":"Apollo Location Code","status":"deprecated","contacts":[{"contact_name":"Jeremy Espino","contact_email":"juest4@pitt.edu","contact_orcid":"0000-0001-8104-2656"}],"homepage":"http://betaweb.rods.pitt.edu/ls","citations":[],"identifier":141,"description":"The Apollo Location Service (LS) Database issues persistent identifiers for locations for specific time intervals, including intervals that start in the past and are still open at present (i.e., the identifier should be used to refer to the location today). Temporally specific location identifiers are particularly important in epidemiology because the epidemiological record includes locations that do not presently exist, location names that have changed and location names whose political boundaries have changed.","abbreviation":"apollo-ls","support_links":[{"url":"https://docs.google.com/document/d/18ojDcH2-IoKpCObAvxVXS8nIvyJz-Jprpfu8SZnV0xs/edit?usp=sharing","name":"Apollo LS User Guide","type":"Help documentation"}],"year_creation":2014,"deprecation_date":"2022-07-14","deprecation_reason":"The resource homepage no longer exists, and a new one cannot be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000708","bsg-s000708"],"name":"FAIRsharing record for: Apollo Location Code","abbreviation":"apollo-ls","url":"https://fairsharing.org/10.25504/FAIRsharing.e2zy7j","doi":"10.25504/FAIRsharing.e2zy7j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Apollo Location Service (LS) Database issues persistent identifiers for locations for specific time intervals, including intervals that start in the past and are still open at present (i.e., the identifier should be used to refer to the location today). Temporally specific location identifiers are particularly important in epidemiology because the epidemiological record includes locations that do not presently exist, location names that have changed and location names whose political boundaries have changed.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12443}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Epidemiology"],"domains":["Geographical location"],"taxonomies":["ISO3166"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5149,"fairsharing_record_id":141,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:16.879Z","updated_at":"2021-09-30T09:30:00.651Z","grant_id":511,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U24GM110707","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"142","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:23.154Z","metadata":{"doi":"10.25504/FAIRsharing.6mk8xz","name":"Minimum Information About a Biofilm Experiment","status":"ready","contacts":[{"contact_name":"Nuno Filipe Azevedo","contact_email":"nazevedo@fe.up.pt","contact_orcid":"0000-0001-5864-3250"}],"homepage":"http://miabie.org/","identifier":142,"description":"The minimum information about a biofilm experiment (MIABiE) initiative has arisen from the need to find an adequate and scientifically sound way to control the quality of the documentation accompanying the public deposition of biofilm-related data, particularly those obtained using high-throughput devices and techniques. MIABiE includes several modules, each addressing specific parts of a biofilm study.","abbreviation":"MIABiE","support_links":[{"url":"http://miabie.org/modules.php","name":"Module Documentation","type":"Help documentation"},{"url":"http://miabie.org/introduction.php","name":"Additional Information","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"http://miabie.org/tools.php","name":"Associated Tools"}]},"legacy_ids":["bsg-000279","bsg-s000279"],"name":"FAIRsharing record for: Minimum Information About a Biofilm Experiment","abbreviation":"MIABiE","url":"https://fairsharing.org/10.25504/FAIRsharing.6mk8xz","doi":"10.25504/FAIRsharing.6mk8xz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The minimum information about a biofilm experiment (MIABiE) initiative has arisen from the need to find an adequate and scientifically sound way to control the quality of the documentation accompanying the public deposition of biofilm-related data, particularly those obtained using high-throughput devices and techniques. MIABiE includes several modules, each addressing specific parts of a biofilm study.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11596},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12013}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Microbiology","Biology"],"domains":["Biofilm","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Canada","Germany","Italy","Latvia","Portugal","Spain","United States"],"publications":[{"id":149,"pubmed_id":33447797,"title":"Minimum information guideline for spectrophotometric and fluorometric methods to assess biofilm formation in microplates.","year":2019,"url":"http://doi.org/10.1016/j.bioflm.2019.100010","authors":"Allkja J,Bjarnsholt T,Coenye T,Cos P,Fallarero A,Harrison JJ,Lopes SP,Oliver A,Pereira MO,Ramage G,Shirtliff ME,Stoodley P,Webb JS,Zaat SAJ,Goeres DM,Azevedo NF","journal":"Biofilm","doi":"10.1016/j.bioflm.2019.100010","created_at":"2021-09-30T08:22:36.198Z","updated_at":"2021-09-30T08:22:36.198Z"},{"id":613,"pubmed_id":24478124,"title":"Minimum information about a biofilm experiment (MIABiE): standards for reporting experiments and data on sessile microbial communities living at interfaces","year":2014,"url":"http://doi.org/10.1111/2049-632X.12146","authors":"Lourenço, A., Coenye, T., Goeres, D., Donelli, G., Azevedo, A.S., Ceri, H., Coelho, F.L., Flemming, H.-C., Juhna, T., Lopes, S.P., Oliveira, R., Oliver, A., Shirtliff, M.E., Sousa, A.M., Stoodley, P., Pereira M.O. and N.F. Azevedo","journal":"Pathogens and Disease","doi":"10.1111/2049-632X.12146","created_at":"2021-09-30T08:23:27.376Z","updated_at":"2021-09-30T08:23:27.376Z"}],"licence_links":[{"licence_name":"MIABiE Terms of Use","licence_id":513,"licence_url":"http://miabie.org/terms-use.php","link_id":865,"relation":"undefined"}],"grants":[{"id":5150,"fairsharing_record_id":142,"organisation_id":1845,"relation":"maintains","created_at":"2021-09-30T09:27:16.916Z","updated_at":"2021-09-30T09:27:16.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":1845,"name":"Minimum Information about a Biofilm Experiment (MIABiE) Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5152,"fairsharing_record_id":142,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:27:16.987Z","updated_at":"2021-09-30T09:27:16.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5151,"fairsharing_record_id":142,"organisation_id":1010,"relation":"funds","created_at":"2021-09-30T09:27:16.956Z","updated_at":"2021-09-30T09:29:54.343Z","grant_id":461,"is_lead":false,"saved_state":{"id":1010,"name":"FEUP - Faculty of Engineering University of Porto","grant":"722467","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"143","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.788Z","metadata":{"doi":"10.25504/FAIRsharing.mcgj5b","name":"Distributed Sequence Annotation System","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"das@biodas.org"}],"homepage":"http://www.biodas.org/documents/spec-1.6.html","identifier":143,"description":"The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences.","abbreviation":"DAS","support_links":[{"url":"http://biodas.open-bio.org/wiki/DasFAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://lists.open-bio.org/mailman/listinfo/das","type":"Mailing list"},{"url":"http://biodas.open-bio.org/wiki/Main_Page","type":"Help documentation"}],"year_creation":2000},"legacy_ids":["bsg-000287","bsg-s000287"],"name":"FAIRsharing record for: Distributed Sequence Annotation System","abbreviation":"DAS","url":"https://fairsharing.org/10.25504/FAIRsharing.mcgj5b","doi":"10.25504/FAIRsharing.mcgj5b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1708,"pubmed_id":11667947,"title":"The distributed annotation system.","year":2001,"url":"http://doi.org/10.1186/1471-2105-2-7","authors":"Dowell RD,Jokerst RM,Day A,Eddy SR,Stein L","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-2-7","created_at":"2021-09-30T08:25:31.395Z","updated_at":"2021-09-30T08:25:31.395Z"}],"licence_links":[],"grants":[{"id":5153,"fairsharing_record_id":143,"organisation_id":548,"relation":"maintains","created_at":"2021-09-30T09:27:17.013Z","updated_at":"2021-09-30T09:27:17.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":548,"name":"Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"163","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T13:54:15.298Z","metadata":{"doi":"10.25504/FAIRsharing.frr5dh","name":"REporting recommendations for tumour MARKer prognostic studies","status":"ready","contacts":[{"contact_name":"Lisa M McShane","contact_email":"Lm5h@nih.gov"}],"homepage":"https://www.equator-network.org/reporting-guidelines/reporting-recommendations-for-tumour-marker-prognostic-studies-remark/","citations":[],"identifier":163,"description":"As for the successful CONSORT initiative for randomized trials and for the STARD statement for diagnostic studies, we suggest guidelines to provide relevant information about the study design, preplanned hypotheses, patient and specimen characteristics, assay methods, and statistical analysis methods. In addition, the guidelines provide helpful suggestions on how to present data and important elements to include in discussions. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available. ","abbreviation":"REMARK","support_links":[],"year_creation":2001},"legacy_ids":["bsg-000155","bsg-s000155"],"name":"FAIRsharing record for: REporting recommendations for tumour MARKer prognostic studies","abbreviation":"REMARK","url":"https://fairsharing.org/10.25504/FAIRsharing.frr5dh","doi":"10.25504/FAIRsharing.frr5dh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As for the successful CONSORT initiative for randomized trials and for the STARD statement for diagnostic studies, we suggest guidelines to provide relevant information about the study design, preplanned hypotheses, patient and specimen characteristics, assay methods, and statistical analysis methods. In addition, the guidelines provide helpful suggestions on how to present data and important elements to include in discussions. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available. ","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12098}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Oncology","Genetics","Biomedical Science"],"domains":["Tumor","Genetic marker","Prognosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United Kingdom","United States"],"publications":[{"id":852,"pubmed_id":22642691,"title":"Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration.","year":2012,"url":"http://doi.org/10.1186/1741-7015-10-51","authors":"Altman DG,McShane LM,Sauerbrei W,Taube SE","journal":"BMC Med","doi":"10.1186/1741-7015-10-51","created_at":"2021-09-30T08:23:54.037Z","updated_at":"2021-09-30T08:23:54.037Z"},{"id":854,"pubmed_id":22675273,"title":"Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.","year":2012,"url":"http://doi.org/10.1371/journal.pmed.1001216","authors":"Altman DG,McShane LM,Sauerbrei W,Taube SE","journal":"PLoS Med","doi":"10.1371/journal.pmed.1001216","created_at":"2021-09-30T08:23:54.254Z","updated_at":"2021-09-30T08:23:54.254Z"},{"id":1827,"pubmed_id":16106245,"title":"REporting recommendations for tumour MARKer prognostic studies (REMARK).","year":2005,"url":"http://doi.org/10.1038/sj.bjc.6602678","authors":"McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM; Statistics Subcommittee of the NCI-EORTC Working Group on Cancer Diagnostics.","journal":"Br. J. Cancer","doi":"10.1038/sj.bjc.6602678","created_at":"2021-09-30T08:25:45.222Z","updated_at":"2021-09-30T08:25:45.222Z"}],"licence_links":[],"grants":[{"id":5192,"fairsharing_record_id":163,"organisation_id":2419,"relation":"maintains","created_at":"2021-09-30T09:27:18.364Z","updated_at":"2021-09-30T09:27:18.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":2419,"name":"REMARK group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5191,"fairsharing_record_id":163,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:27:18.326Z","updated_at":"2021-09-30T09:29:25.607Z","grant_id":244,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","grant":"C5529","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"164","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T20:09:18.000Z","updated_at":"2023-09-15T13:53:38.257Z","metadata":{"doi":"10.25504/FAIRsharing.YugnuL","name":"Hyper Text Markup Language","status":"ready","contacts":[{"contact_name":"Xiaoqian Wu","contact_email":"xiaoqian@w3.org"}],"homepage":"https://html.spec.whatwg.org/","citations":[],"identifier":164,"description":"Hyper Text Markup Language (HTML) is the World Wide Web’s core markup language. It is used to create and design web pages and other information which can be displayed in a web browser. Originally, HTML was primarily designed as a language for semantically describing scientific documents. Its general design, however, has enabled it to be adapted, over the subsequent years, to describe a number of other types of documents and even applications.This specification defines an abstract language for describing documents and applications, and some APIs for interacting with in-memory representations of resources that use this language.","abbreviation":"HTML","support_links":[{"url":"https://github.com/whatwg/html/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/whatwg/html/blob/main/FAQ.md","name":"FAQ (via GitHub)","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/htmlstandard","name":"@htmlstandard","type":"Twitter"}],"year_creation":1993},"legacy_ids":["bsg-001284","bsg-s001284"],"name":"FAIRsharing record for: Hyper Text Markup Language","abbreviation":"HTML","url":"https://fairsharing.org/10.25504/FAIRsharing.YugnuL","doi":"10.25504/FAIRsharing.YugnuL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Hyper Text Markup Language (HTML) is the World Wide Web’s core markup language. It is used to create and design web pages and other information which can be displayed in a web browser. Originally, HTML was primarily designed as a language for semantically describing scientific documents. Its general design, however, has enabled it to be adapted, over the subsequent years, to describe a number of other types of documents and even applications.This specification defines an abstract language for describing documents and applications, and some APIs for interacting with in-memory representations of resources that use this language.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2236,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3333,"relation":"applies_to_content"}],"grants":[{"id":10860,"fairsharing_record_id":164,"organisation_id":4107,"relation":"maintains","created_at":"2023-09-15T13:39:43.429Z","updated_at":"2023-09-15T13:39:43.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":4107,"name":"Web Hypertext Application Technology Working Group (WHATWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"165","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:44:25.686Z","metadata":{"doi":"10.25504/FAIRsharing.ez2nhb","name":"Ontology for Parasite LifeCycle","status":"ready","contacts":[{"contact_name":"Priti Parikh","contact_email":"preets79@gmail.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/OPL","identifier":165,"description":"OPL models the life cycle stage details of T.cruzi and two related kinetoplastids, Trypanosoma brucei and Leishmania major. In addition, the ontology also models necessary contextual details such as host information, vector information, strain and anatomical location. OPL is based on the Basic Formal Ontology (BFO) and follows the rules set by the OBO Foundry consortium.","abbreviation":"OPL","support_links":[{"url":"support@knoesis.org","name":"Kno.e.sis Support","type":"Support email"},{"url":"https://github.com/OPL-ontology/OPL/issues","name":"OPL Issue Tracker","type":"Github"},{"url":"https://github.com/OPL-ontology/OPL","name":"OPL on GitHub","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OPL","name":"OPL","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/opl.html","name":"opl","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002590","bsg-s002590"],"name":"FAIRsharing record for: Ontology for Parasite LifeCycle","abbreviation":"OPL","url":"https://fairsharing.org/10.25504/FAIRsharing.ez2nhb","doi":"10.25504/FAIRsharing.ez2nhb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OPL models the life cycle stage details of T.cruzi and two related kinetoplastids, Trypanosoma brucei and Leishmania major. In addition, the ontology also models necessary contextual details such as host information, vector information, strain and anatomical location. OPL is based on the Basic Formal Ontology (BFO) and follows the rules set by the OBO Foundry consortium.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Parasite","Host","Life cycle","Life cycle stage"],"taxonomies":["Leishmania major","Trypanosoma brucei","Trypanosoma cruzi"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":759,"pubmed_id":22621763,"title":"The Ontology for Parasite Lifecycle (OPL): towards a consistent vocabulary of lifecycle stages in parasitic organisms.","year":2012,"url":"http://doi.org/10.1186/2041-1480-3-5","authors":"Parikh PP,Zheng J,Logan-Klumpler F,Stoeckert CJ Jr,Louis C,Topalis P,Protasio AV,Sheth AP,Carrington M,Berriman M,Sahoo SS","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-3-5","created_at":"2021-09-30T08:23:43.612Z","updated_at":"2021-09-30T08:23:43.612Z"}],"licence_links":[],"grants":[{"id":7889,"fairsharing_record_id":165,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:29:26.900Z","updated_at":"2021-09-30T09:29:26.940Z","grant_id":255,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"085822","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5195,"fairsharing_record_id":165,"organisation_id":556,"relation":"maintains","created_at":"2021-09-30T09:27:18.492Z","updated_at":"2021-09-30T09:27:18.492Z","grant_id":null,"is_lead":false,"saved_state":{"id":556,"name":"College of Engineering and Computer Science (KNO.E.SIS), Fairborn, OH, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5198,"fairsharing_record_id":165,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:18.618Z","updated_at":"2021-09-30T09:28:59.761Z","grant_id":46,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200900039C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5197,"fairsharing_record_id":165,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:18.576Z","updated_at":"2021-09-30T09:29:00.050Z","grant_id":48,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5199,"fairsharing_record_id":165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:18.657Z","updated_at":"2021-09-30T09:29:03.262Z","grant_id":73,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5R01GM93132-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5196,"fairsharing_record_id":165,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:18.535Z","updated_at":"2021-09-30T09:32:19.866Z","grant_id":1570,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01HL087795-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5194,"fairsharing_record_id":165,"organisation_id":971,"relation":"funds","created_at":"2021-09-30T09:27:18.443Z","updated_at":"2021-09-30T09:29:06.061Z","grant_id":93,"is_lead":false,"saved_state":{"id":971,"name":"EVIMALAR network of excellence (EMBL)","grant":"242095","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"166","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2021-11-24T13:18:31.193Z","metadata":{"doi":"10.25504/FAIRsharing.cz9cnp","name":"Ontology of Host-Microbe Interactions","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/ohmi-ontology/ohmi","identifier":166,"description":"OHMI is aimed to ontologically represent various entities and relations related to microbiomes, microbiome host organisms (e.g., human and mouse), and the interactions between the hosts and microbiomes at different conditions.","abbreviation":"OHMI","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OHMI","name":"OHMI","portal":"BioPortal"}]},"legacy_ids":["bsg-000953","bsg-s000953"],"name":"FAIRsharing record for: Ontology of Host-Microbe Interactions","abbreviation":"OHMI","url":"https://fairsharing.org/10.25504/FAIRsharing.cz9cnp","doi":"10.25504/FAIRsharing.cz9cnp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OHMI is aimed to ontologically represent various entities and relations related to microbiomes, microbiome host organisms (e.g., human and mouse), and the interactions between the hosts and microbiomes at different conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Host","Microbiome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5200,"fairsharing_record_id":166,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:27:18.693Z","updated_at":"2021-09-30T09:27:18.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5201,"fairsharing_record_id":166,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:18.732Z","updated_at":"2021-09-30T09:27:18.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5202,"fairsharing_record_id":166,"organisation_id":3123,"relation":"maintains","created_at":"2021-09-30T09:27:18.774Z","updated_at":"2021-09-30T09:27:18.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":3123,"name":"University of South Carolina, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"167","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:50.523Z","metadata":{"doi":"10.25504/FAIRsharing.aej2a8","name":"Galen Ontology","status":"uncertain","contacts":[{"contact_name":"Julian Seidenberg","contact_email":"j@deltaflow.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1055","identifier":167,"description":"A translation of the full Galen ontology (from the OpenGALEN project) into the OWL description logic.","abbreviation":"GALEN","support_links":[{"url":"http://www.deltaflow.com/wp-content/pdf/seidenberg-www2006.pdf","name":"Conference papers","type":"Help documentation"}],"year_creation":1991},"legacy_ids":["bsg-002607","bsg-s002607"],"name":"FAIRsharing record for: Galen Ontology","abbreviation":"GALEN","url":"https://fairsharing.org/10.25504/FAIRsharing.aej2a8","doi":"10.25504/FAIRsharing.aej2a8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A translation of the full Galen ontology (from the OpenGALEN project) into the OWL description logic.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Life Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom"],"publications":[{"id":2352,"pubmed_id":null,"title":"Web Ontology Segmentation: Analysis, Classification and Use","year":2006,"url":"https://www.researchgate.net/publication/221022817_Web_Ontology_Segmentation_Analysis_Classification_and_Use","authors":"Julian Seidenberg, Alan Rector","journal":"Proceedings of the 15th international conference on World Wide Web, WWW 2006, Edinburgh, Scotland, UK, May 23-26, 2006","doi":null,"created_at":"2021-09-30T08:26:49.090Z","updated_at":"2021-09-30T11:28:35.092Z"}],"licence_links":[],"grants":[{"id":5203,"fairsharing_record_id":167,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:27:18.805Z","updated_at":"2021-09-30T09:27:18.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5204,"fairsharing_record_id":167,"organisation_id":1389,"relation":"maintains","created_at":"2021-09-30T09:27:18.828Z","updated_at":"2021-09-30T09:27:18.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1389,"name":"Institute for Molecules and Materials (IMM), Radboud University, Nijmegen, The Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"152","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:48:55.469Z","metadata":{"doi":"10.25504/FAIRsharing.phk7dd","name":"C. elegans gross anatomy","status":"ready","contacts":[{"contact_name":"Raymond Lee","contact_email":"raymond@caltech.edu","contact_orcid":"0000-0002-8151-7479"}],"homepage":"https://www.wormbase.org/tools/ontology_browser","citations":[],"identifier":152,"description":"A structured controlled vocabulary of the anatomy of Caenorhabditis elegans.","abbreviation":"WB-BT","support_links":[{"url":"https://www.wormbase.org/tools/support?url=/","name":"General contact","type":"Contact form"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WB-BT","name":"BioPortal: WB-BT","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/wbbt.html","name":"OBO Foundry: wbbt","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000020","bsg-s000020"],"name":"FAIRsharing record for: C. elegans gross anatomy","abbreviation":"WB-BT","url":"https://fairsharing.org/10.25504/FAIRsharing.phk7dd","doi":"10.25504/FAIRsharing.phk7dd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy of Caenorhabditis elegans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1650,"pubmed_id":18629098,"title":"Building a cell and anatomy ontology of Caenorhabditis elegans.","year":2008,"url":"http://doi.org/10.1002/cfg.248","authors":"Lee RY,Sternberg PW","journal":"Comp Funct Genomics","doi":"10.1002/cfg.248","created_at":"2021-09-30T08:25:24.863Z","updated_at":"2021-09-30T08:25:24.863Z"}],"licence_links":[{"licence_name":"Wormbase licence","licence_id":921,"licence_url":"https://wormbase.org/about/policies","link_id":2672,"relation":"applies_to_content"}],"grants":[{"id":5167,"fairsharing_record_id":152,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:27:17.563Z","updated_at":"2021-09-30T09:27:17.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"153","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-07-20T11:56:47.086Z","metadata":{"doi":"10.25504/FAIRsharing.8ajxrw","name":"Neuroscience Domain Insight Graphs","status":"ready","contacts":[{"contact_name":"Gully Burns","contact_email":"gullyburns@gmail.com"}],"homepage":"https://github.com/SciKnowEngine/SciDIG","identifier":153,"description":"Neuroscience Domain Insight Graphs (neuDIGs) was created to serve the needs of systems-level neuroscience: an advanced, complex scientific subject. The goal is to provide a large-scale, practical, common representation for neuroscientific knowledge that is primarily concerned with properties and characteristics of neuron populations that may (or may not) be explicitly identified by name.","abbreviation":"neuDIGs","support_links":[{"url":"http://usc-isi-i2.github.io/dig/","name":"Domain-specific Insight Graph Documentation","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NEUDIGS","name":"NEUDIGS","portal":"BioPortal"}]},"legacy_ids":["bsg-000949","bsg-s000949"],"name":"FAIRsharing record for: Neuroscience Domain Insight Graphs","abbreviation":"neuDIGs","url":"https://fairsharing.org/10.25504/FAIRsharing.8ajxrw","doi":"10.25504/FAIRsharing.8ajxrw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Neuroscience Domain Insight Graphs (neuDIGs) was created to serve the needs of systems-level neuroscience: an advanced, complex scientific subject. The goal is to provide a large-scale, practical, common representation for neuroscientific knowledge that is primarily concerned with properties and characteristics of neuron populations that may (or may not) be explicitly identified by name.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Neuroscience"],"domains":["Neuron"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5168,"fairsharing_record_id":153,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:27:17.586Z","updated_at":"2021-09-30T09:27:17.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"154","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:15.219Z","metadata":{"doi":"10.25504/FAIRsharing.a0r156","name":"Ontology of Glucose Metabolism Disorder","status":"ready","contacts":[{"contact_name":"Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"https://code.google.com/p/ogsf/","identifier":154,"description":"Ontology of Glucose Metabolism Disorder includes disease names, phenotypes and their classifications involved in Glucose Metabolism Disorder, Diabetes. It must be used with other two ontologies, in the case of Diabetes: the Ontology of Geographical Region (OGR) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","abbreviation":"OGMD","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php#ontology","name":"He Group Ontology page","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGMD","name":"OGMD","portal":"BioPortal"}]},"legacy_ids":["bsg-002632","bsg-s002632"],"name":"FAIRsharing record for: Ontology of Glucose Metabolism Disorder","abbreviation":"OGMD","url":"https://fairsharing.org/10.25504/FAIRsharing.a0r156","doi":"10.25504/FAIRsharing.a0r156","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology of Glucose Metabolism Disorder includes disease names, phenotypes and their classifications involved in Glucose Metabolism Disorder, Diabetes. It must be used with other two ontologies, in the case of Diabetes: the Ontology of Geographical Region (OGR) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Metabolomics","Biomedical Science"],"domains":["Glucose","Disease process modeling","Glucose metabolic process","Phenotype","Disease","Diabetes mellitus"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":449,"pubmed_id":24963371,"title":"The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-19","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-19","created_at":"2021-09-30T08:23:08.751Z","updated_at":"2021-09-30T08:23:08.751Z"},{"id":1699,"pubmed_id":20847592,"title":"Ontology driven modeling for the knowledge of genetic susceptibility to disease.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/20847592","authors":"Lin Y,Sakamoto N","journal":"Kobe J Med Sci","doi":null,"created_at":"2021-09-30T08:25:30.403Z","updated_at":"2021-09-30T08:25:30.403Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":971,"relation":"undefined"}],"grants":[{"id":5169,"fairsharing_record_id":154,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:17.611Z","updated_at":"2021-09-30T09:27:17.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"155","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:19.559Z","metadata":{"doi":"10.25504/FAIRsharing.901nkj","name":"National Drug File","status":"ready","contacts":[{"contact_name":"Michael J. Lincoln","contact_email":"michael.lincoln@va.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/NDFRT","identifier":155,"description":"The National Drug File Reference Terminology contains a novel reference hierarchy to describe physiologic effects (PE) of drugs.","abbreviation":"NDFRT","year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NDFRT","name":"NDFRT","portal":"BioPortal"}]},"legacy_ids":["bsg-002592","bsg-s002592"],"name":"FAIRsharing record for: National Drug File","abbreviation":"NDFRT","url":"https://fairsharing.org/10.25504/FAIRsharing.901nkj","doi":"10.25504/FAIRsharing.901nkj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Drug File Reference Terminology contains a novel reference hierarchy to describe physiologic effects (PE) of drugs.","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11278},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11720},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12014}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Physiology","Biomedical Science"],"domains":["Drug name","Chemical entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1410,"pubmed_id":14728237,"title":"Adequacy of representation of the National Drug File Reference Terminology Physiologic Effects reference hierarchy for commonly prescribed medications.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/14728237","authors":"Rosenbloom ST,Awad J,Speroff T,Elkin PL,Rothman R,Spickard A 3rd,Peterson J,Bauer BA,Wahner-Roedler DL,Lee M,Gregg WM,Johnson KB,Jirjis J,Erlbaum MS,Carter JS,Lincoln MJ,Brown SH","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:24:57.615Z","updated_at":"2021-09-30T08:24:57.615Z"}],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":223,"relation":"undefined"}],"grants":[{"id":5170,"fairsharing_record_id":155,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:17.641Z","updated_at":"2021-09-30T09:31:47.303Z","grant_id":1326,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"LM6918-A102","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5172,"fairsharing_record_id":155,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:17.721Z","updated_at":"2021-09-30T09:31:01.633Z","grant_id":983,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"3 U01 GM61388-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9174,"fairsharing_record_id":155,"organisation_id":2948,"relation":"maintains","created_at":"2022-04-11T12:07:19.545Z","updated_at":"2022-04-11T12:07:19.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":2948,"name":"United States Department of Veterans Affairs","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"156","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:05:49.000Z","updated_at":"2022-07-20T10:30:54.399Z","metadata":{"doi":"10.25504/FAIRsharing.YAdSwh","name":"FAIR Maturity Indicator Gen2-MI-R1.1","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_R1.1.md","identifier":156,"description":"The FAIR Maturity Indicator Gen2-MI-R1.1 Maturity Indicator measures the presence of a pointer in the metadata to the data license. Data that does not have a license cannot (legitimately) be reused, since the conditions of that reuse are not known.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001368","bsg-s001368"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-R1.1","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.YAdSwh","doi":"10.25504/FAIRsharing.YAdSwh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-R1.1 Maturity Indicator measures the presence of a pointer in the metadata to the data license. Data that does not have a license cannot (legitimately) be reused, since the conditions of that reuse are not known.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13187},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13217},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13248},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13262},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20177}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1479,"relation":"undefined"}],"grants":[{"id":5173,"fairsharing_record_id":156,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:17.754Z","updated_at":"2021-09-30T09:27:17.754Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5174,"fairsharing_record_id":156,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:17.777Z","updated_at":"2021-09-30T09:27:17.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5175,"fairsharing_record_id":156,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:17.803Z","updated_at":"2021-09-30T09:27:17.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5176,"fairsharing_record_id":156,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:17.887Z","updated_at":"2021-09-30T09:27:17.887Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"157","type":"fairsharing_records","attributes":{"created_at":"2015-09-17T08:11:12.000Z","updated_at":"2022-07-20T10:19:24.901Z","metadata":{"doi":"10.25504/FAIRsharing.knp11s","name":"Cellular Microscopy Phenotype Ontology","status":"ready","contacts":[],"homepage":"http://www.ebi.ac.uk/cmpo/","citations":[{"doi":"10.1186/s13326-016-0074-0","pubmed_id":27195102,"publication_id":1187}],"identifier":157,"description":"Cellular Microscopy Phenotype Ontology (CMPO) is a species neutral ontology for describing general phenotypic observations relating to the whole cell, cellular components, cellular processes and cell populations","abbreviation":"CMPO","support_links":[{"url":"ontology-tools-support@ebi.ac.uk","name":"Helpdesk","type":"Support email"},{"url":"jupp@ebi.ac.uk","name":"jupp@ebi.ac.uk","type":"Support email"},{"url":"https://github.com/EBISPOT/cmpo/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/EBISPOT/CMPO","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/cellular-microscopy-phenotype-ontology-cmpo-quick-tour","name":"Cellular microscopy phenotype ontology cmpo quick tour","type":"TeSS links to training materials"}],"year_creation":2013,"associated_tools":[{"url":"https://www.ebi.ac.uk/spot/zooma/","name":"Zooma"},{"url":"http://bioportal.bioontology.org/annotator","name":"NCBO Annotator"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CMPO","name":"CMPO","portal":"BioPortal"}]},"legacy_ids":["bsg-000617","bsg-s000617"],"name":"FAIRsharing record for: Cellular Microscopy Phenotype Ontology","abbreviation":"CMPO","url":"https://fairsharing.org/10.25504/FAIRsharing.knp11s","doi":"10.25504/FAIRsharing.knp11s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cellular Microscopy Phenotype Ontology (CMPO) is a species neutral ontology for describing general phenotypic observations relating to the whole cell, cellular components, cellular processes and cell populations","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18245},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10884}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cell Biology"],"domains":["Cell","Microscopy","Cellular component","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1187,"pubmed_id":27195102,"title":"The cellular microscopy phenotype ontology.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0074-0","authors":"Jupp S,Malone J,Burdett T,Heriche JK,Williams E,Ellenberg J,Parkinson H,Rustici G","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0074-0","created_at":"2021-09-30T08:24:31.992Z","updated_at":"2021-09-30T08:24:31.992Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":501,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":502,"relation":"undefined"}],"grants":[{"id":5177,"fairsharing_record_id":157,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:17.933Z","updated_at":"2021-09-30T09:27:17.933Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5179,"fairsharing_record_id":157,"organisation_id":2697,"relation":"funds","created_at":"2021-09-30T09:27:18.005Z","updated_at":"2021-09-30T09:30:19.448Z","grant_id":657,"is_lead":false,"saved_state":{"id":2697,"name":"Systems Microscopy Network of Excellence, European Union","grant":"EU FP7 258068","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5180,"fairsharing_record_id":157,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:18.028Z","updated_at":"2021-09-30T09:31:13.908Z","grant_id":1076,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M018423/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5178,"fairsharing_record_id":157,"organisation_id":888,"relation":"funds","created_at":"2021-09-30T09:27:17.972Z","updated_at":"2021-09-30T09:32:38.088Z","grant_id":1710,"is_lead":false,"saved_state":{"id":888,"name":"EU FP7 BioMedBridges","grant":"EU FP7 284209","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2061","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:26:03.527Z","metadata":{"doi":"10.25504/FAIRsharing.vxz9pn","name":"SWISS-MODEL Repository of 3D protein structure models","status":"ready","contacts":[{"contact_name":"Torsten Schwede","contact_email":"help-swissmodel@unibas.ch","contact_orcid":"0000-0003-2715-335X"}],"homepage":"https://swissmodel.expasy.org/repository/","citations":[{"doi":"10.1093/nar/gkw1132","pubmed_id":27899672,"publication_id":1934}],"identifier":2061,"description":"The SWISS-MODEL Repository is a database of annotated 3D protein structure models generated by the SWISS-MODEL homology-modelling pipeline for protein sequences of selected model organisms.","abbreviation":"SWISS-MODEL","data_curation":{"type":"not found"},"support_links":[{"url":"help-swissmodel@unibas.ch","type":"Support email"},{"url":"https://swissmodel.expasy.org/docs/help","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/qmean/help","name":"QMEAN help","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/lddt/help/","name":"lDDT web server documentation","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/assess/help","name":"Structure Assessment help","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/comparison/help","name":"Structure Comparison","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/docs/examples","name":"Examples","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/course","name":"Protein structure course","type":"Training documentation"},{"url":"https://swissmodel.expasy.org/docs/tutorial","name":"Video tutorial","type":"Training documentation"},{"url":"https://twitter.com/SWISS_MODEL","type":"Twitter"}],"year_creation":1993,"data_versioning":"no","associated_tools":[{"url":"https://swissmodel.expasy.org/qmean/","name":"QMEAN"},{"url":"https://swissmodel.expasy.org/interactive","name":"SWISS-MODEL Workspace"},{"url":"https://swissmodel.expasy.org/lddt","name":"lDDT"},{"url":"https://swissmodel.expasy.org/assess","name":"Structure Assessment"},{"url":"https://swissmodel.expasy.org/comparison/","name":"Structure Comparison"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010605","name":"re3data:r3d100010605","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013032","name":"SciCrunch:RRID:SCR_013032","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://swissmodel.expasy.org/repository/annotation","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000528","bsg-d000528"],"name":"FAIRsharing record for: SWISS-MODEL Repository of 3D protein structure models","abbreviation":"SWISS-MODEL","url":"https://fairsharing.org/10.25504/FAIRsharing.vxz9pn","doi":"10.25504/FAIRsharing.vxz9pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SWISS-MODEL Repository is a database of annotated 3D protein structure models generated by the SWISS-MODEL homology-modelling pipeline for protein sequences of selected model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11354},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11531},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12170},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12317},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12683}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Molecular structure","Mathematical model","Protein structure","Structure","Protein"],"taxonomies":["All","Viruses"],"user_defined_tags":["COVID-19"],"countries":["Switzerland"],"publications":[{"id":885,"pubmed_id":18931379,"title":"The SWISS-MODEL Repository and associated resources.","year":2008,"url":"http://doi.org/10.1093/nar/gkn750","authors":"Kiefer F,Arnold K,Kunzli M,Bordoli L,Schwede T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn750","created_at":"2021-09-30T08:23:57.727Z","updated_at":"2021-09-30T11:28:54.909Z"},{"id":1499,"pubmed_id":24782522,"title":"SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information.","year":2014,"url":"http://doi.org/10.1093/nar/gku340","authors":"Biasini M,Bienert S,Waterhouse A,Arnold K,Studer G,Schmidt T,Kiefer F,Cassarino TG,Bertoni M,Bordoli L,Schwede T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku340","created_at":"2021-09-30T08:25:07.865Z","updated_at":"2021-09-30T11:29:11.185Z"},{"id":1934,"pubmed_id":27899672,"title":"The SWISS-MODEL Repository-new features and functionality.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1132","authors":"Bienert S,Waterhouse A,de Beer TA,Tauriello G,Studer G,Bordoli L,Schwede T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1132","created_at":"2021-09-30T08:25:57.712Z","updated_at":"2021-09-30T11:29:24.311Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":43,"relation":"undefined"},{"licence_name":"SWISS-MODEL Terms of Use","licence_id":764,"licence_url":"https://swissmodel.expasy.org/docs/terms_of_use","link_id":47,"relation":"undefined"}],"grants":[{"id":1548,"fairsharing_record_id":2061,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:11.021Z","updated_at":"2024-03-27T22:14:47.215Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWdFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4e6944e96d168968b1e167332b78bcaaa7532185/Screenshot%20from%202024-03-27%2022-13-43.png?disposition=inline","exhaustive_licences":false}},{"id":"2062","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-05-03T09:34:04.821Z","metadata":{"doi":"10.25504/FAIRsharing.1m6pt7","name":"UniPathway","status":"deprecated","contacts":[{"contact_name":"Alain Viari","contact_email":"alain.viari@inria.fr"}],"homepage":"http://www.grenoble.prabi.fr/obiwarehouse/unipathway","citations":[],"identifier":2062,"description":"UniPathway is a manually curated resource of metabolic pathways for the UniProtKB/Swiss-Prot knowledgebase. It provides a structured controlled vocabulary to describe the role of a protein in a metabolic pathway.","abbreviation":"UniPathway","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.grenoble.prabi.fr/obiwarehouse/unipathway/welcome/about/documentation/documentation_overview","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2016-12-28","deprecation_reason":"Due to technical and financial reasons this website is no longer being maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000529","bsg-d000529"],"name":"FAIRsharing record for: UniPathway","abbreviation":"UniPathway","url":"https://fairsharing.org/10.25504/FAIRsharing.1m6pt7","doi":"10.25504/FAIRsharing.1m6pt7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniPathway is a manually curated resource of metabolic pathways for the UniProtKB/Swiss-Prot knowledgebase. It provides a structured controlled vocabulary to describe the role of a protein in a metabolic pathway.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Switzerland"],"publications":[{"id":454,"pubmed_id":22102589,"title":"UniPathway: a resource for the exploration and annotation of metabolic pathways.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1023","authors":"Morgat A., Coissac E., Coudert E., Axelsen KB., Keller G., Bairoch A., Bridge A., Bougueleret L., Xenarios I., Viari A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1023","created_at":"2021-09-30T08:23:09.275Z","updated_at":"2021-09-30T08:23:09.275Z"}],"licence_links":[],"grants":[{"id":1549,"fairsharing_record_id":2062,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:11.063Z","updated_at":"2021-09-30T09:25:11.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1551,"fairsharing_record_id":2062,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:25:11.138Z","updated_at":"2021-09-30T09:25:11.138Z","grant_id":null,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1550,"fairsharing_record_id":2062,"organisation_id":1058,"relation":"funds","created_at":"2021-09-30T09:25:11.101Z","updated_at":"2021-09-30T09:28:58.251Z","grant_id":36,"is_lead":false,"saved_state":{"id":1058,"name":"French Government, France","grant":"ANR MIRI BLAN08-1335497","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2063","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:24:10.722Z","metadata":{"doi":"10.25504/FAIRsharing.we178a","name":"World-2DPAGE Repository","status":"deprecated","contacts":[],"homepage":"https://world-2dpage.expasy.org/repository/","citations":[],"identifier":2063,"description":"A public standards-compliant repository for gel-based proteomics data linked to protein identification published in the literature, and stores a collection of multi-species reference maps, with thousands of identified spots..","abbreviation":"World-2DPAGE","data_curation":{"type":"not found"},"support_links":[{"url":"https://world-2dpage.expasy.org/contact","type":"Contact form"},{"url":"https://world-2dpage.expasy.org/swiss-2dpage/docs/manch2d.html","name":"SWISS-2DPAGE User Manual","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://world-2dpage.expasy.org/make2ddb/","name":"Make 2D-DB II 3.10.2"}],"deprecation_date":"2023-05-04","deprecation_reason":"As described on the database homepage, World-2DPAGE is no longer maintained. Previously submitted data can, however, still be queried.","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000530","bsg-d000530"],"name":"FAIRsharing record for: World-2DPAGE Repository","abbreviation":"World-2DPAGE","url":"https://fairsharing.org/10.25504/FAIRsharing.we178a","doi":"10.25504/FAIRsharing.we178a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A public standards-compliant repository for gel-based proteomics data linked to protein identification published in the literature, and stores a collection of multi-species reference maps, with thousands of identified spots..","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Proteomics"],"domains":["Molecular structure","2D PAGE image","Protein identification","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1841,"pubmed_id":18617148,"title":"The World-2DPAGE Constellation to promote and publish gel-based proteomics data through the ExPASy server.","year":2008,"url":"http://doi.org/10.1016/j.jprot.2008.02.005","authors":"Hoogland C,Mostaguir K,Appel RD,Lisacek F","journal":"J Proteomics","doi":"10.1016/j.jprot.2008.02.005","created_at":"2021-09-30T08:25:46.763Z","updated_at":"2021-09-30T08:25:46.763Z"}],"licence_links":[{"licence_name":"ExPASy Terms of Use","licence_id":305,"licence_url":"https://www.expasy.org/terms-of-use","link_id":769,"relation":"undefined"}],"grants":[{"id":1552,"fairsharing_record_id":2063,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:11.180Z","updated_at":"2023-05-04T11:27:41.406Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2047","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:44.096Z","metadata":{"doi":"10.25504/FAIRsharing.2s4n8r","name":"MEROPS","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"merops@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/merops/","identifier":2047,"description":"The MEROPS database is an information resource for peptidases (also termed proteases, proteinases and proteolytic enzymes) and the proteins that inhibit them.","abbreviation":"MEROPS","data_curation":{"type":"not found"},"support_links":[{"url":"http://meropsdb.wordpress.com","type":"Blog/News"},{"url":"https://www.ebi.ac.uk/merops/about/index.shtml","type":"Help documentation"}],"year_creation":1996,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012783","name":"re3data:r3d100012783","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007777","name":"SciCrunch:RRID:SCR_007777","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000514","bsg-d000514"],"name":"FAIRsharing record for: MEROPS","abbreviation":"MEROPS","url":"https://fairsharing.org/10.25504/FAIRsharing.2s4n8r","doi":"10.25504/FAIRsharing.2s4n8r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MEROPS database is an information resource for peptidases (also termed proteases, proteinases and proteolytic enzymes) and the proteins that inhibit them.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12679}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Molecular structure","Proteolytic digest","Protein structure","Protein domain","Nucleic acid sequence","DNA sequence data","Enzyme","Structure","Protein","Amino acid sequence","Protease site"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":405,"pubmed_id":17991683,"title":"MEROPS: the peptidase database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm954","authors":"Rawlings ND., Morton FR., Kok CY., Kong J., Barrett AJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm954","created_at":"2021-09-30T08:23:04.008Z","updated_at":"2021-09-30T08:23:04.008Z"},{"id":1404,"pubmed_id":29145643,"title":"The MEROPS database of proteolytic enzymes, their substrates and inhibitors in 2017 and a comparison with peptidases in the PANTHER database.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1134","authors":"Rawlings ND,Barrett AJ,Thomas PD,Huang X,Bateman A,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1134","created_at":"2021-09-30T08:24:56.981Z","updated_at":"2021-09-30T11:29:07.960Z"},{"id":1571,"pubmed_id":8439290,"title":"Evolutionary families of peptidases.","year":1993,"url":"http://doi.org/10.1042/bj2900205","authors":"Rawlings ND,Barrett AJ","journal":"Biochem J","doi":"10.1042/bj2900205","created_at":"2021-09-30T08:25:16.159Z","updated_at":"2021-09-30T08:25:16.159Z"},{"id":1572,"pubmed_id":9847218,"title":"MEROPS: the peptidase database.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.325","authors":"Rawlings ND,Barrett AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/27.1.325","created_at":"2021-09-30T08:25:16.257Z","updated_at":"2021-09-30T11:29:14.110Z"},{"id":1573,"pubmed_id":22086950,"title":"MEROPS: the database of proteolytic enzymes, their substrates and inhibitors.","year":2011,"url":"http://doi.org/10.1093/nar/gkr987","authors":"Rawlings ND,Barrett AJ,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr987","created_at":"2021-09-30T08:25:16.357Z","updated_at":"2021-09-30T11:29:14.212Z"},{"id":1676,"pubmed_id":26527717,"title":"Twenty years of the MEROPS database of proteolytic enzymes, their substrates and inhibitors.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1118","authors":"Rawlings ND,Barrett AJ,Finn R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1118","created_at":"2021-09-30T08:25:27.768Z","updated_at":"2021-09-30T11:29:18.418Z"},{"id":1742,"pubmed_id":26455268,"title":"Peptidase specificity from the substrate cleavage collection in the MEROPS database and a tool to measure cleavage site conservation.","year":2015,"url":"http://doi.org/10.1016/j.biochi.2015.10.003","authors":"Rawlings ND","journal":"Biochimie","doi":"10.1016/j.biochi.2015.10.003","created_at":"2021-09-30T08:25:35.438Z","updated_at":"2021-09-30T08:25:35.438Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1429,"relation":"undefined"}],"grants":[{"id":1499,"fairsharing_record_id":2047,"organisation_id":851,"relation":"maintains","created_at":"2021-09-30T09:25:09.032Z","updated_at":"2021-09-30T09:25:09.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":851,"name":"EMBL-EBI Industry Programme, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1498,"fairsharing_record_id":2047,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:08.994Z","updated_at":"2021-09-30T09:29:06.575Z","grant_id":97,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1501,"fairsharing_record_id":2047,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:09.162Z","updated_at":"2021-09-30T09:29:58.836Z","grant_id":497,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/N00521X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1500,"fairsharing_record_id":2047,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:09.120Z","updated_at":"2021-09-30T09:32:11.764Z","grant_id":1511,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458808","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7891,"fairsharing_record_id":2047,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:29:29.953Z","updated_at":"2021-09-30T09:29:30.010Z","grant_id":273,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT077044/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9245,"fairsharing_record_id":2047,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.967Z","updated_at":"2022-04-11T12:07:24.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2048","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-09T09:34:32.168Z","metadata":{"doi":"10.25504/FAIRsharing.xshwbf","name":"Sanger Pfam Mirror","status":"deprecated","contacts":[{"contact_name":"General Help","contact_email":"pfam-help@sanger.ac.uk"}],"homepage":"http://pfam.sanger.ac.uk/","citations":[],"identifier":2048,"description":"The Pfam database contains information about protein domains and families. For each entry a protein sequence alignment and a Hidden Markov Model is stored.","abbreviation":"Sanger Pfam","data_curation":{"type":"not found"},"support_links":[{"url":"http://pfam.sanger.ac.uk/help","type":"Help documentation"},{"url":"http://pfam.sanger.ac.uk/help#tabview=tab2","type":"Help documentation"},{"url":"http://pfam.sanger.ac.uk/help#tabview=tab3","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://pfam.sanger.ac.uk/search","name":"search"},{"url":"http://pfam.sanger.ac.uk/browse","name":"browse"},{"url":"http://pfam.sanger.ac.uk/search#tabview=tab2","name":"BLAST"}],"deprecation_date":"2016-05-10","deprecation_reason":"The maintainers associated with this resource have informed us that it is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000515","bsg-d000515"],"name":"FAIRsharing record for: Sanger Pfam Mirror","abbreviation":"Sanger Pfam","url":"https://fairsharing.org/10.25504/FAIRsharing.xshwbf","doi":"10.25504/FAIRsharing.xshwbf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pfam database contains information about protein domains and families. For each entry a protein sequence alignment and a Hidden Markov Model is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":664,"pubmed_id":22127870,"title":"The Pfam protein families database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1065","authors":"Punta M., Coggill PC., Eberhardt RY., Mistry J., Tate J., Boursnell C., Pang N., Forslund K., Ceric G., Clements J., Heger A., Holm L., Sonnhammer EL., Eddy SR., Bateman A., Finn RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1065","created_at":"2021-09-30T08:23:33.296Z","updated_at":"2021-09-30T08:23:33.296Z"},{"id":911,"pubmed_id":19920124,"title":"The Pfam protein families database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp985","authors":"Finn RD., Mistry J., Tate J., Coggill P., Heger A., Pollington JE., Gavin OL., Gunasekaran P., Ceric G., Forslund K., Holm L., Sonnhammer EL., Eddy SR., Bateman A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp985","created_at":"2021-09-30T08:24:00.612Z","updated_at":"2021-09-30T08:24:00.612Z"},{"id":2296,"pubmed_id":24288371,"title":"Pfam: the protein families database.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1223","authors":"Finn RD,Bateman A,Clements J,Coggill P,Eberhardt RY,Eddy SR,Heger A,Hetherington K,Holm L,Mistry J,Sonnhammer EL,Tate J,Punta M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1223","created_at":"2021-09-30T08:26:40.493Z","updated_at":"2021-09-30T11:29:32.662Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1603,"relation":"undefined"}],"grants":[{"id":1504,"fairsharing_record_id":2048,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:09.264Z","updated_at":"2021-09-30T09:25:09.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1502,"fairsharing_record_id":2048,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:09.210Z","updated_at":"2021-09-30T09:29:30.022Z","grant_id":273,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT077044/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9223,"fairsharing_record_id":2048,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.521Z","updated_at":"2022-04-11T12:07:23.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2049","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:00.731Z","metadata":{"doi":"10.25504/FAIRsharing.mr293q","name":"The Vertebrate Genome Annotation Database","status":"deprecated","contacts":[{"contact_name":"Jennifer L Harrow","contact_email":"jla1@sanger.ac.uk","contact_orcid":"0000-0003-0338-3070"}],"homepage":"https://vega.archive.ensembl.org/index.html","citations":[],"identifier":2049,"description":"The Vertebrate Genome Annotation (VEGA) database is a central repository for high quality manual annotation of vertebrate finished genome sequence.","abbreviation":"VEGA","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://vega.sanger.ac.uk/Help/Contact/","type":"Contact form"},{"url":"http://vega.sanger.ac.uk/info/index.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://vega.sanger.ac.uk/Multi/blastview","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012575","name":"re3data:r3d100012575","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007907","name":"SciCrunch:RRID:SCR_007907","portal":"SciCrunch"}],"deprecation_date":"2022-06-15","deprecation_reason":"The final update of Vega, version 68, was released in February 2017 and is archived at vega.archive.ensembl.org. The resource was maintained until Feb 2020. Manual annotation by the Havana group will continue after this and will be accessible through GENCODE and Ensembl.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000516","bsg-d000516"],"name":"FAIRsharing record for: The Vertebrate Genome Annotation Database","abbreviation":"VEGA","url":"https://fairsharing.org/10.25504/FAIRsharing.mr293q","doi":"10.25504/FAIRsharing.mr293q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vertebrate Genome Annotation (VEGA) database is a central repository for high quality manual annotation of vertebrate finished genome sequence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Sequence","Gene","Genome"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":493,"pubmed_id":18003653,"title":"The vertebrate genome annotation (Vega) database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm987","authors":"Wilming LG., Gilbert JG., Howe K., Trevanion S., Hubbard T., Harrow JL.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm987","created_at":"2021-09-30T08:23:13.576Z","updated_at":"2021-09-30T08:23:13.576Z"},{"id":1141,"pubmed_id":24316575,"title":"The Vertebrate Genome Annotation browser 10 years on.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1241","authors":"Harrow JL, Steward CA, Frankish A, Gilbert JG, Gonzalez JM, Loveland JE, Mudge J, Sheppard D, Thomas M, Trevanion S, Wilming LG.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1241","created_at":"2021-09-30T08:24:26.817Z","updated_at":"2021-09-30T08:24:26.817Z"}],"licence_links":[{"licence_name":"Ensembl Privacy Statement","licence_id":282,"licence_url":"http://www.ensembl.org/info/about/legal/privacy.html","link_id":1169,"relation":"undefined"}],"grants":[{"id":1507,"fairsharing_record_id":2049,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:09.370Z","updated_at":"2021-09-30T09:25:09.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1506,"fairsharing_record_id":2049,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:09.333Z","updated_at":"2021-09-30T09:30:48.056Z","grant_id":877,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K009524/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1505,"fairsharing_record_id":2049,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:09.294Z","updated_at":"2021-09-30T09:29:06.590Z","grant_id":97,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1508,"fairsharing_record_id":2049,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:09.413Z","updated_at":"2021-09-30T09:32:15.821Z","grant_id":1539,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5U54HG004555","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2057","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:30.748Z","metadata":{"doi":"10.25504/FAIRsharing.x93ckv","name":"Stanford Microarray Database","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"array@genomics.princeton.edu"}],"homepage":"http://smd.princeton.edu/","identifier":2057,"description":"The Stanford Microarray Database is a repository a microarray based gene expression and comparative genomics data. This resource is no longer being maintained please us public repositories NCBI Gene Expression Omnibus or EBI Array Express","abbreviation":"SMD","data_curation":{"type":"not found"},"support_links":[{"url":"http://smd.princeton.edu/help/FAQ.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://smd.princeton.edu/help/index.shtml","type":"Help documentation"},{"url":"http://smd.princeton.edu/help/tutorials_subpage.shtml","type":"Training documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010555","name":"re3data:r3d100010555","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004987","name":"SciCrunch:RRID:SCR_004987","portal":"SciCrunch"}],"deprecation_date":"2016-12-21","deprecation_reason":"The database has been retired in January 2014.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000524","bsg-d000524"],"name":"FAIRsharing record for: Stanford Microarray Database","abbreviation":"SMD","url":"https://fairsharing.org/10.25504/FAIRsharing.x93ckv","doi":"10.25504/FAIRsharing.x93ckv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Stanford Microarray Database is a repository a microarray based gene expression and comparative genomics data. This resource is no longer being maintained please us public repositories NCBI Gene Expression Omnibus or EBI Array Express","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":675,"pubmed_id":17182626,"title":"The Stanford Microarray Database: implementation of new analysis tools and open source release of software.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1019","authors":"Demeter J., Beauheim C., Gollub J., Hernandez-Boussard T., Jin H., Maier D., Matese JC., Nitzberg M., Wymore F., Zachariah ZK., Brown PO., Sherlock G., Ball CA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1019","created_at":"2021-09-30T08:23:34.446Z","updated_at":"2021-09-30T08:23:34.446Z"}],"licence_links":[],"grants":[{"id":1534,"fairsharing_record_id":2057,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.450Z","updated_at":"2021-09-30T09:31:07.416Z","grant_id":1027,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 HG003469","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1533,"fairsharing_record_id":2057,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:25:10.403Z","updated_at":"2021-09-30T09:25:10.403Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2058","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:56:58.673Z","metadata":{"doi":"10.25504/FAIRsharing.t7yckc","name":"Pharmacogenomics Knowledge Base","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"feedback@pharmgkb.org"}],"homepage":"https://www.pharmgkb.org/","citations":[],"identifier":2058,"description":"PharmGKB curates primary genotype and phenotype data, annotates gene variants and gene-drug-disease relationships via literature review, and summarizes important PGx genes and drug pathways. PharmGKB collects, curates and disseminates knowledge about the impact of human genetic variation on drug responses.","abbreviation":"PharmGKB","data_curation":{"url":"https://www.pharmgkb.org/page/faqs#what-data-are-manually-curated","type":"manual/automated"},"support_links":[{"url":"http://pharmgkb.blogspot.com","type":"Blog/News"},{"url":"https://www.pharmgkb.org/feedback","type":"Contact form"},{"url":"http://www.pharmgkb.org/page/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/pharmgkb","type":"Twitter"}],"year_creation":2001,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012325","name":"re3data:r3d100012325","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002689","name":"SciCrunch:RRID:SCR_002689","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000525","bsg-d000525"],"name":"FAIRsharing record for: Pharmacogenomics Knowledge Base","abbreviation":"PharmGKB","url":"https://fairsharing.org/10.25504/FAIRsharing.t7yckc","doi":"10.25504/FAIRsharing.t7yckc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PharmGKB curates primary genotype and phenotype data, annotates gene variants and gene-drug-disease relationships via literature review, and summarizes important PGx genes and drug pathways. PharmGKB collects, curates and disseminates knowledge about the impact of human genetic variation on drug responses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12681},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16193}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Expression data","Drug","Phenotype","Classification","Pathway model","Gene","Sequence variant","Gene-disease association","Genotype","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":498,"pubmed_id":11908751,"title":"Integrating genotype and phenotype information: an overview of the PharmGKB project. Pharmacogenetics Research Network and Knowledge Base.","year":2002,"url":"http://doi.org/10.1038/sj.tpj.6500035","authors":"Klein TE., Chang JT., Cho MK., Easton KL., Fergerson R., Hewett M., Lin Z., Liu Y., Liu S., Oliver DE., Rubin DL., Shafa F., Stuart JM., Altman RB.,","journal":"Pharmacogenomics J.","doi":"10.1038/sj.tpj.6500035","created_at":"2021-09-30T08:23:14.101Z","updated_at":"2021-09-30T08:23:14.101Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1084,"relation":"undefined"},{"licence_name":"PharmGKB Data Usage Policy","licence_id":661,"licence_url":"https://www.pharmgkb.org/page/dataUsagePolicy","link_id":1085,"relation":"undefined"}],"grants":[{"id":1537,"fairsharing_record_id":2058,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.526Z","updated_at":"2021-09-30T09:25:10.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1536,"fairsharing_record_id":2058,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:10.499Z","updated_at":"2021-09-30T09:29:54.142Z","grant_id":459,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R24 GM61374","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1535,"fairsharing_record_id":2058,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:25:10.473Z","updated_at":"2021-09-30T09:25:10.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFFCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7b5a4cbda608fcf58b6992075869e40ea5f34044/wordmark.png?disposition=inline","exhaustive_licences":false}},{"id":"2043","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:34:00.996Z","metadata":{"doi":"10.25504/FAIRsharing.2ma4gq","name":"Ligand Expo","status":"ready","contacts":[{"contact_name":"John Westbrook","contact_email":"jwest@rcsb.rutgers.edu","contact_orcid":"0000-0002-6686-5475"}],"homepage":"http://ligand-depot.rutgers.edu/","identifier":2043,"description":"Ligand Expo is a data resource for finding information about small molecules bound to proteins and nucleic acids. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry.","abbreviation":"Ligand Expo","data_curation":{"type":"not found"},"support_links":[{"url":"deposit@deposit.rcsb.org","type":"Support email"},{"url":"http://ligand-depot.rutgers.edu/help.html","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000510","bsg-d000510"],"name":"FAIRsharing record for: Ligand Expo","abbreviation":"Ligand Expo","url":"https://fairsharing.org/10.25504/FAIRsharing.2ma4gq","doi":"10.25504/FAIRsharing.2ma4gq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ligand Expo is a data resource for finding information about small molecules bound to proteins and nucleic acids. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Nucleic acid sequence","Protein interaction","Chemical entity","Small molecule binding","Molecular interaction","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":504,"pubmed_id":15059838,"title":"Ligand Depot: a data warehouse for ligands bound to macromolecules.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth214","authors":"Feng Z., Chen L., Maddula H., Akcan O., Oughtred R., Berman HM., Westbrook J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth214","created_at":"2021-09-30T08:23:14.852Z","updated_at":"2021-09-30T08:23:14.852Z"}],"licence_links":[{"licence_name":"Ligand Expo Attribution required","licence_id":491,"licence_url":"http://ligand-depot.rutgers.edu/acknowledgements.html","link_id":1720,"relation":"undefined"}],"grants":[{"id":1480,"fairsharing_record_id":2043,"organisation_id":2476,"relation":"maintains","created_at":"2021-09-30T09:25:08.265Z","updated_at":"2021-09-30T09:25:08.265Z","grant_id":null,"is_lead":false,"saved_state":{"id":2476,"name":"Rutgers, The State University of New Jersey, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2046","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-11T07:48:56.481Z","metadata":{"doi":"10.25504/FAIRsharing.bh0k78","name":"Nucleic Acid Database","status":"deprecated","contacts":[{"contact_email":"ndbadmin@ndbserver.rutgers.edu"}],"homepage":"http://ndbserver.rutgers.edu/","citations":[],"identifier":2046,"description":"The Nucleic Acids Database contains information about experimentally-determined nucleic acids and complex assemblies. NDB can be used to perform searches based on annotations relating to sequence, structure and function, and to download, analyze, and learn about nucleic acids.","abbreviation":"NDB","data_curation":{},"support_links":[{"url":"http://ndbserver.rutgers.edu/ndbmodule/ndb-help.html","type":"Help documentation"},{"url":"http://ndbserver.rutgers.edu/ndbmodule/education/education.html","type":"Training documentation"}],"year_creation":1991,"data_versioning":"not found","associated_tools":[{"url":"http://tesla.pcbi.upenn.edu/savor/","name":"SAVoR"},{"url":"http://rna.bgsu.edu/rna3dhub/motifs","name":"RNA 3D Motif Atlas"},{"url":"http://www.bgsu.edu/research/rna/web-applications/webfr3d.html","name":"WebFR3D"},{"url":"http://rna.bgsu.edu/r3dalign/","name":"R3D Align"},{"url":"http://web.x3dna.org/","name":"w3DNA 2.0"},{"url":"http://www.dnatco.org","name":"DNATCO 3.2"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010551","name":"re3data:r3d100010551","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003255","name":"SciCrunch:RRID:SCR_003255","portal":"SciCrunch"}],"deprecation_date":"2023-07-06","deprecation_reason":"This website (ndbserver.rutgers.edu) will be retired in early July 2023. At that time, all NDB web traffic will forward to nakb.org. Links to individual entry NDB atlas pages will redirect to NAKB atlas pages. Questions/comments? please contact ndbadmin@ndbserver.rutgers.edu.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000513","bsg-d000513"],"name":"FAIRsharing record for: Nucleic Acid Database","abbreviation":"NDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bh0k78","doi":"10.25504/FAIRsharing.bh0k78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nucleic Acids Database contains information about experimentally-determined nucleic acids and complex assemblies. NDB can be used to perform searches based on annotations relating to sequence, structure and function, and to download, analyze, and learn about nucleic acids.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10962}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":500,"pubmed_id":1384741,"title":"The nucleic acid database. A comprehensive relational database of three-dimensional structures of nucleic acids.","year":1992,"url":"http://doi.org/10.1016/S0006-3495(92)81649-1","authors":"Berman HM., Olson WK., Beveridge DL., Westbrook J., Gelbin A., Demeny T., Hsieh SH., Srinivasan AR., Schneider B.,","journal":"Biophys. J.","doi":"10.1016/S0006-3495(92)81649-1","created_at":"2021-09-30T08:23:14.310Z","updated_at":"2021-09-30T08:23:14.310Z"},{"id":1372,"pubmed_id":24185695,"title":"The Nucleic Acid Database: new features and capabilities.","year":2013,"url":"http://doi.org/10.1093/nar/gkt980","authors":"Coimbatore Narayanan B,Westbrook J,Ghosh S,Petrov AI,Sweeney B,Zirbel CL,Leontis NB,Berman HM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt980","created_at":"2021-09-30T08:24:53.459Z","updated_at":"2021-09-30T11:29:07.468Z"},{"id":2849,"pubmed_id":27805162,"title":"The Nucleic Acid Database: Present and Future.","year":1996,"url":"http://doi.org/10.6028/jres.101.026","authors":"Berman HM,Gelbin A,Clowney L,Hsieh SH,Zardecki C,Westbrook J","journal":"J Res Natl Inst Stand Technol","doi":"10.6028/jres.101.026","created_at":"2021-09-30T08:27:50.482Z","updated_at":"2021-09-30T08:27:50.482Z"}],"licence_links":[],"grants":[{"id":1494,"fairsharing_record_id":2046,"organisation_id":2476,"relation":"maintains","created_at":"2021-09-30T09:25:08.873Z","updated_at":"2021-09-30T09:25:08.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":2476,"name":"Rutgers, The State University of New Jersey, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1496,"fairsharing_record_id":2046,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:08.922Z","updated_at":"2021-09-30T09:25:08.922Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1493,"fairsharing_record_id":2046,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:08.840Z","updated_at":"2021-09-30T09:29:12.018Z","grant_id":136,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM085328","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1495,"fairsharing_record_id":2046,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:08.897Z","updated_at":"2021-09-30T09:29:56.897Z","grant_id":481,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI 0829586","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8140,"fairsharing_record_id":2046,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:10.105Z","updated_at":"2021-09-30T09:31:10.164Z","grant_id":1049,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BIR 9510703","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2056","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:58.788Z","metadata":{"doi":"10.25504/FAIRsharing.ty3dqs","name":"Protein ANalysis THrough Evolutionary Relationships: Classification of Genes and Proteins","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"feedback@pantherdb.org"}],"homepage":"http://www.pantherdb.org","citations":[{"doi":"10.1093/nar/gkw1138","pubmed_id":27899595,"publication_id":1024}],"identifier":2056,"description":"The PANTHER (Protein ANalysis THrough Evolutionary Relationships) Classification System is a unique resource that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function even in the absence of direct experimental evidence.","abbreviation":"PANTHER","data_curation":{"url":"https://www.pantherdb.org/about.jsp","type":"manual/automated"},"support_links":[{"url":"http://www.pantherdb.org/feedback.jsp","type":"Contact form"},{"url":"http://www.pantherdb.org/help/PANTHERhelp.jsp","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","associated_tools":[{"url":"http://www.pantherdb.org/tools/hmmScoreForm.jsp?","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.pantherdb.org/about.jsp","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000523","bsg-d000523"],"name":"FAIRsharing record for: Protein ANalysis THrough Evolutionary Relationships: Classification of Genes and Proteins","abbreviation":"PANTHER","url":"https://fairsharing.org/10.25504/FAIRsharing.ty3dqs","doi":"10.25504/FAIRsharing.ty3dqs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PANTHER (Protein ANalysis THrough Evolutionary Relationships) Classification System is a unique resource that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function even in the absence of direct experimental evidence.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11094},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12248},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16194}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence similarity","Evidence","Function analysis","Evolution","Classification","Protein","Pathway model","Gene","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":["Evolutionary relationship between proteins via sequence similarity"],"countries":["United States"],"publications":[{"id":487,"pubmed_id":12952881,"title":"PANTHER: a library of protein families and subfamilies indexed by function.","year":2003,"url":"http://doi.org/10.1101/gr.772403","authors":"Thomas PD., Campbell MJ., Kejariwal A., Mi H., Karlak B., Daverman R., Diemer K., Muruganujan A., Narechania A.,","journal":"Genome Res.","doi":"10.1101/gr.772403","created_at":"2021-09-30T08:23:12.969Z","updated_at":"2021-09-30T08:23:12.969Z"},{"id":1024,"pubmed_id":27899595,"title":"PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1138","authors":"Mi H,Huang X,Muruganujan A,Tang H,Mills C,Kang D,Thomas PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1138","created_at":"2021-09-30T08:24:13.386Z","updated_at":"2021-09-30T11:28:56.992Z"},{"id":1028,"pubmed_id":23868073,"title":"Large-scale gene function analysis with the PANTHER classification system.","year":2013,"url":"http://doi.org/10.1038/nprot.2013.092","authors":"Mi H,Muruganujan A,Casagrande JT,Thomas PD","journal":"Nat Protoc","doi":"10.1038/nprot.2013.092","created_at":"2021-09-30T08:24:13.815Z","updated_at":"2021-09-30T08:24:13.815Z"},{"id":1029,"pubmed_id":27193693,"title":"PANTHER-PSEP: predicting disease-causing genetic variants using position-specific evolutionary preservation.","year":2016,"url":"http://doi.org/10.1093/bioinformatics/btw222","authors":"Tang H,Thomas PD","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btw222","created_at":"2021-09-30T08:24:13.924Z","updated_at":"2021-09-30T08:24:13.924Z"},{"id":1047,"pubmed_id":19597783,"title":"PANTHER pathway: an ontology-based pathway database coupled with data analysis tools.","year":2009,"url":"http://doi.org/10.1007/978-1-60761-175-2_7","authors":"Mi H,Thomas P","journal":"Methods Mol Biol","doi":"10.1007/978-1-60761-175-2_7","created_at":"2021-09-30T08:24:15.897Z","updated_at":"2021-09-30T08:24:15.897Z"}],"licence_links":[{"licence_name":"Panther DB Data Policies and Disclaimer","licence_id":648,"licence_url":"http://www.pantherdb.org/terms/disclaimer.jsp","link_id":404,"relation":"undefined"},{"licence_name":"Panther Website Privacy Policy","licence_id":649,"licence_url":"http://www.pantherdb.org/terms/privacyPolicy.jsp","link_id":406,"relation":"undefined"}],"grants":[{"id":1532,"fairsharing_record_id":2056,"organisation_id":2857,"relation":"maintains","created_at":"2021-09-30T09:25:10.364Z","updated_at":"2021-09-30T09:25:10.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":2857,"name":"Thomas lab, University of Southern California","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1531,"fairsharing_record_id":2056,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:10.275Z","updated_at":"2021-09-30T09:29:05.934Z","grant_id":92,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM081084","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2064","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:05:30.328Z","metadata":{"doi":"10.25504/FAIRsharing.scsnja","name":"Signaling Pathway Integrated Knowledge Engine","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"spike@post.tau.ac.il"}],"homepage":"http://www.cs.tau.ac.il/~spike/","citations":[],"identifier":2064,"description":"SPIKE (Signaling Pathway Integrated Knowledge Engine) is an interactive software environment that graphically displays biological signaling networks, allows dynamic layout and navigation through these networks, and enables the superposition of DNA microarray and other functional genomics data on interaction maps.","abbreviation":"SPIKE","data_curation":{"url":"www.cs.tau.ac.il/~spike/upcoming.html","type":"manual/automated"},"support_links":[{"url":"http://www.cs.tau.ac.il/~spike/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","data_access_condition":{"url":"http://www.cs.tau.ac.il/~spike/download/","type":"open","notes":"Browsing and downloading the database does not require registration or login."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000531","bsg-d000531"],"name":"FAIRsharing record for: Signaling Pathway Integrated Knowledge Engine","abbreviation":"SPIKE","url":"https://fairsharing.org/10.25504/FAIRsharing.scsnja","doi":"10.25504/FAIRsharing.scsnja","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SPIKE (Signaling Pathway Integrated Knowledge Engine) is an interactive software environment that graphically displays biological signaling networks, allows dynamic layout and navigation through these networks, and enables the superposition of DNA microarray and other functional genomics data on interaction maps.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12684}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Expression data","Network model","Deoxyribonucleic acid","Signaling"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":533,"pubmed_id":21097778,"title":"SPIKE: a database of highly curated human signaling pathways.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1167","authors":"Paz A., Brownstein Z., Ber Y., Bialik S., David E., Sagir D., Ulitsky I., Elkon R., Kimchi A., Avraham KB., Shiloh Y., Shamir R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1167","created_at":"2021-09-30T08:23:18.242Z","updated_at":"2021-09-30T08:23:18.242Z"}],"licence_links":[],"grants":[{"id":1554,"fairsharing_record_id":2064,"organisation_id":1561,"relation":"funds","created_at":"2021-09-30T09:25:11.314Z","updated_at":"2021-09-30T09:25:11.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":1561,"name":"Israel Science Foundation, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1557,"fairsharing_record_id":2064,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:11.407Z","updated_at":"2021-09-30T09:25:11.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1553,"fairsharing_record_id":2064,"organisation_id":2725,"relation":"maintains","created_at":"2021-09-30T09:25:11.270Z","updated_at":"2021-09-30T09:25:11.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":2725,"name":"Tel Aviv University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1555,"fairsharing_record_id":2064,"organisation_id":129,"relation":"funds","created_at":"2021-09-30T09:25:11.351Z","updated_at":"2021-09-30T09:25:11.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":129,"name":"Ataxia Telangiectasia Children's Project, FL, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1556,"fairsharing_record_id":2064,"organisation_id":3241,"relation":"funds","created_at":"2021-09-30T09:25:11.383Z","updated_at":"2021-09-30T09:25:11.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":3241,"name":"Wolfson Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2059","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:34:59.001Z","metadata":{"doi":"10.25504/FAIRsharing.63m4ss","name":"HAMAP database of microbial protein families","status":"ready","contacts":[{"contact_name":"Alan Bridge","contact_email":"alan.bridge@isb-sib.ch","contact_orcid":"0000-0003-2148-9135"}],"homepage":"https://hamap.expasy.org/","citations":[],"identifier":2059,"description":"HAMAP is a system, based on manual protein annotation, that identifies and semi-automatically annotates proteins that are part of well-conserved families or subfamilies: the HAMAP families. HAMAP is based on manually created family rules and is applied to bacterial, archaeal and plastid-encoded proteins.","abbreviation":"HAMAP","data_curation":{"url":"https://hamap.expasy.org/hamap_details.html","type":"manual/automated","notes":"HAMAP stands for High-quality Automated and Manual Annotation of Proteins."},"support_links":[{"url":"https://hamap.expasy.org/contact","type":"Contact form"},{"url":"http://hamap.expasy.org/unirule/unirule.html","type":"Help documentation"},{"url":"http://hamap.expasy.org/hamap_doc.html","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://hamap.expasy.org/hamap_scan.html","name":"analyze"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000526","bsg-d000526"],"name":"FAIRsharing record for: HAMAP database of microbial protein families","abbreviation":"HAMAP","url":"https://fairsharing.org/10.25504/FAIRsharing.63m4ss","doi":"10.25504/FAIRsharing.63m4ss","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HAMAP is a system, based on manual protein annotation, that identifies and semi-automatically annotates proteins that are part of well-conserved families or subfamilies: the HAMAP families. HAMAP is based on manually created family rules and is applied to bacterial, archaeal and plastid-encoded proteins.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11529}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence annotation","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1511,"pubmed_id":23193261,"title":"HAMAP in 2013, new developments in the protein family classification and annotation system.","year":2012,"url":"http://doi.org/10.1093/nar/gks1157","authors":"Pedruzzi I., Rivoire C., Auchincloss AH., Coudert E., Keller G., de Castro E., Baratin D., Cuche BA., Bougueleret L., Poux S., Redaschi N., Xenarios I., Bridge A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1157","created_at":"2021-09-30T08:25:09.153Z","updated_at":"2021-09-30T08:25:09.153Z"},{"id":1976,"pubmed_id":25348399,"title":"HAMAP in 2015: updates to the protein family classification and annotation system.","year":2014,"url":"http://doi.org/10.1093/nar/gku1002","authors":"Pedruzzi I,Rivoire C,Auchincloss AH,Coudert E,Keller G,de Castro E,Baratin D,Cuche BA,Bougueleret L,Poux S,Redaschi N,Xenarios I,Bridge A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1002","created_at":"2021-09-30T08:26:02.346Z","updated_at":"2021-09-30T11:29:25.111Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":854,"relation":"undefined"},{"licence_name":"ExPASy Terms of Use","licence_id":305,"licence_url":"https://www.expasy.org/terms-of-use","link_id":859,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":855,"relation":"undefined"}],"grants":[{"id":1542,"fairsharing_record_id":2059,"organisation_id":2635,"relation":"funds","created_at":"2021-09-30T09:25:10.721Z","updated_at":"2021-09-30T09:25:10.721Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1539,"fairsharing_record_id":2059,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:25:10.595Z","updated_at":"2021-09-30T09:32:12.969Z","grant_id":1520,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"JRP09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1541,"fairsharing_record_id":2059,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:10.680Z","updated_at":"2021-09-30T09:32:45.439Z","grant_id":1764,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U41HG006104","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1538,"fairsharing_record_id":2059,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:10.558Z","updated_at":"2024-03-27T21:13:52.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1540,"fairsharing_record_id":2059,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.638Z","updated_at":"2021-09-30T09:25:10.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8412,"fairsharing_record_id":2059,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:32:31.718Z","updated_at":"2021-09-30T09:32:31.763Z","grant_id":1661,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"JRP13","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ca50c6050260c6ee4769280a49fff47fa8daa924/HAMAP_Red_Logo_trans.png?disposition=inline","exhaustive_licences":false}},{"id":"2030","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:42:29.826Z","metadata":{"doi":"10.25504/FAIRsharing.6bd5k6","name":"Orphanet","status":"ready","contacts":[{"contact_email":"partnerships.orphanet@inserm.fr"}],"homepage":"http://www.orpha.net/consor/cgi-bin/index.php?lng=EN","citations":[],"identifier":2030,"description":"Orphanet is the reference resource for information on rare diseases and orphan drugs for all publics. Its aim is to contribute to the improvement of the diagnosis, care and treatment of patients with rare diseases. Orphanet maintains the Orphanet nomenclature, essential for interoperability, and the Orphanet Rare Disease Ontology (ORDO).","abbreviation":"Orphanet","data_curation":{"url":"https://www.orpha.net/orphacom/cahiers/docs/GB/eproc_expert_centres_R2_PatCar_Cns_EP_02.pdf","type":"manual","notes":"Three steps of data validation insure the quality and the acuracy of the data."},"support_links":[{"url":"contact.orphanet@inserm.fr","name":"Contact email","type":"Support email"},{"url":"http://www.orpha.net/consor/cgi-bin/","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCKMLSL9hlrxz6zKFod5IlnA","name":"Orphanet Tutorials","type":"Video"},{"url":"https://twitter.com/orphanet","type":"Twitter"}],"year_creation":1997,"data_versioning":"no","associated_tools":[{"url":"http://www.orphadata.org/cgi-bin/index.php/","name":"Orphadata"},{"url":"http://www.orphadata.org/cgi-bin/inc/ordo_orphanet.inc.php","name":"ORDO 2"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.orpha.net/consor/cgi-bin/Education_Procedure.php?lng=EN","type":"controlled","notes":"Procedural documents on data collection and registration are available (expert centers, patient organizations...)"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000497","bsg-d000497"],"name":"FAIRsharing record for: Orphanet","abbreviation":"Orphanet","url":"https://fairsharing.org/10.25504/FAIRsharing.6bd5k6","doi":"10.25504/FAIRsharing.6bd5k6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Orphanet is the reference resource for information on rare diseases and orphan drugs for all publics. Its aim is to contribute to the improvement of the diagnosis, care and treatment of patients with rare diseases. Orphanet maintains the Orphanet nomenclature, essential for interoperability, and the Orphanet Rare Disease Ontology (ORDO).","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11351},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11845},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12167},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19552}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Human Genetics","Biomedical Science","Human Biology"],"domains":["Drug","Rare disease","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","European Union"],"publications":[{"id":2126,"pubmed_id":19058507,"title":"[Orphanet and the Dutch Steering Committee Orphan Drugs. A European and Dutch databank of information on rare diseases].","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19058507","authors":"Liem SL.,","journal":"Ned Tijdschr Tandheelkd","doi":null,"created_at":"2021-09-30T08:26:19.725Z","updated_at":"2021-09-30T08:26:19.725Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":472,"relation":"undefined"}],"grants":[{"id":1447,"fairsharing_record_id":2030,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:06.896Z","updated_at":"2021-09-30T09:32:28.129Z","grant_id":1633,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"E-Rare 3","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1446,"fairsharing_record_id":2030,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:25:06.870Z","updated_at":"2021-09-30T09:25:06.870Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1445,"fairsharing_record_id":2030,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:25:06.846Z","updated_at":"2021-09-30T09:30:21.459Z","grant_id":673,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"831390","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2118","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:20.350Z","metadata":{"doi":"10.25504/FAIRsharing.3etvdn","name":"VectorBase","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@vectorbase.org"}],"homepage":"https://vectorbase.org/vectorbase/app","citations":[],"identifier":2118,"description":"VectorBase is a web-accessible data repository for information about invertebrate vectors of human pathogens. VectorBase annotates and maintains vector genomes (as well as a number of non-vector genomes for comparative analysis) providing an integrated resource for the research community. VectorBase contains genome information for organisms such as Anopheles gambiae, a vector for the Plasmodium protozoan agent causing malaria, and Aedes aegypti, a vector for the flaviviral agents causing Yellow fever and Dengue fever. Hosted data range from genome assemblies with annotated gene features, transcript and protein expression data to population genetics including variation and insecticide-resistance phenotypes.","abbreviation":"VectorBase","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"info@vectorbase.org","name":"info@vectorbase.org","type":"Support email"},{"url":"https://vectorbase.org/vectorbase/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://twitter.com/VectorBase","name":"@VectorBase","type":"Twitter"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010880","name":"re3data:r3d100010880","portal":"re3data"}],"data_access_condition":{"url":"https://vectorbase.org/vectorbase/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://vectorbase.org/vectorbase/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://vectorbase.org/vectorbase/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000588","bsg-d000588"],"name":"FAIRsharing record for: VectorBase","abbreviation":"VectorBase","url":"https://fairsharing.org/10.25504/FAIRsharing.3etvdn","doi":"10.25504/FAIRsharing.3etvdn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VectorBase is a web-accessible data repository for information about invertebrate vectors of human pathogens. VectorBase annotates and maintains vector genomes (as well as a number of non-vector genomes for comparative analysis) providing an integrated resource for the research community. VectorBase contains genome information for organisms such as Anopheles gambiae, a vector for the Plasmodium protozoan agent causing malaria, and Aedes aegypti, a vector for the flaviviral agents causing Yellow fever and Dengue fever. Hosted data range from genome assemblies with annotated gene features, transcript and protein expression data to population genetics including variation and insecticide-resistance phenotypes.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10801},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10971},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11102},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12693}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Population Dynamics","Genomics","Comparative Genomics","Population Genetics"],"domains":["Molecular structure","Expression data","DNA sequence data","Gene Ontology enrichment","Annotation","DNA structural variation","Insecticide resistance","Pathogen","Phenotype","Structure","Protein","Gene","Genome","Genotype","Karyotype"],"taxonomies":["Aedes aegypti","Anopheles gambiae","Chelicerata","Culicidae","Diptera","Gastropoda","Hemiptera","Ixodida","Phthiraptera"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":680,"pubmed_id":19028744,"title":"VectorBase: a data resource for invertebrate vector genomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn857","authors":"Lawson D., Arensburger P., Atkinson P. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn857","created_at":"2021-09-30T08:23:34.944Z","updated_at":"2021-09-30T08:23:34.944Z"},{"id":1308,"pubmed_id":25510499,"title":"VectorBase: an updated bioinformatics resource for invertebrate vectors and other organisms related with human diseases.","year":2014,"url":"http://doi.org/10.1093/nar/gku1117","authors":"Giraldo-Calderon GI,Emrich SJ,MacCallum RM,Maslen G,Dialynas E,Topalis P,Ho N,Gesing S,Madey G,Collins FH,Lawson D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1117","created_at":"2021-09-30T08:24:46.064Z","updated_at":"2021-09-30T11:29:05.859Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2385,"relation":"undefined"}],"grants":[{"id":1696,"fairsharing_record_id":2118,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:17.046Z","updated_at":"2021-09-30T09:29:56.423Z","grant_id":478,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN75N93019C00077","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9576,"fairsharing_record_id":2118,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:23:29.443Z","updated_at":"2022-06-08T09:23:29.443Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1694,"fairsharing_record_id":2118,"organisation_id":2854,"relation":"maintains","created_at":"2021-09-30T09:25:16.983Z","updated_at":"2021-09-30T09:25:16.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":1695,"fairsharing_record_id":2118,"organisation_id":250,"relation":"maintains","created_at":"2021-09-30T09:25:17.011Z","updated_at":"2021-09-30T09:25:17.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1693,"fairsharing_record_id":2118,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:16.945Z","updated_at":"2021-09-30T09:31:28.050Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8361,"fairsharing_record_id":2118,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.892Z","updated_at":"2021-09-30T09:32:15.014Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdG9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c4372feffb1b9dfa2761ff27a1a2c53b2fa18c60/vectorbase.png?disposition=inline","exhaustive_licences":false}},{"id":"2119","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T18:35:18.971Z","metadata":{"doi":"10.25504/FAIRsharing.nvmk6r","name":"Phosphorylation Site Database","status":"deprecated","contacts":[{"contact_email":"psite@vt.edu"}],"homepage":"http://www.phosphorylation.biochem.vt.edu/","citations":[],"identifier":2119,"description":"The Phosphorylation Site Database provides ready access to information from the primary scientific literature concerning proteins in prokaryotic organisms (i.e. members of the domains Archaea and Bacteria) that undergo covalent phosphorylation on the hydroxyl side chains of serine, threonine, and/or tyrosine residues","abbreviation":"PSD","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2015-07-15","deprecation_reason":"This resource has been retired and is no longer maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000589","bsg-d000589"],"name":"FAIRsharing record for: Phosphorylation Site Database","abbreviation":"PSD","url":"https://fairsharing.org/10.25504/FAIRsharing.nvmk6r","doi":"10.25504/FAIRsharing.nvmk6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Phosphorylation Site Database provides ready access to information from the primary scientific literature concerning proteins in prokaryotic organisms (i.e. members of the domains Archaea and Bacteria) that undergo covalent phosphorylation on the hydroxyl side chains of serine, threonine, and/or tyrosine residues","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics"],"domains":["Protein"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1697,"fairsharing_record_id":2119,"organisation_id":3189,"relation":"maintains","created_at":"2021-09-30T09:25:17.078Z","updated_at":"2021-09-30T09:25:17.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":3189,"name":"Virginia Polytechnic Institute and State University, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2122","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:36.460Z","metadata":{"doi":"10.25504/FAIRsharing.qrv60a","name":"Saccharomyces cerevisiae Transcription Factor Database","status":"deprecated","contacts":[{"contact_name":"Gary D. Stormo","contact_email":"stormo@wustl.edu"}],"homepage":"http://stormo.wustl.edu/ScerTF/","citations":[],"identifier":2122,"description":"ScerTF is a database of position weight matrices (PWMs) for transcription factors in Saccharomyces species. It identifies a single matrix for each TF that best predicts in vivo data, providing metrics related to the performance of that matrix in accurately representing the DNA binding specificity of the annotated transcription factor.","abbreviation":"ScerTF","data_curation":{"type":"not found"},"support_links":[{"url":"ScerTF@genetics.wustl.edu","type":"Support email"},{"url":"http://stormo.wustl.edu/ScerTF/about/","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000592","bsg-d000592"],"name":"FAIRsharing record for: Saccharomyces cerevisiae Transcription Factor Database","abbreviation":"ScerTF","url":"https://fairsharing.org/10.25504/FAIRsharing.qrv60a","doi":"10.25504/FAIRsharing.qrv60a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ScerTF is a database of position weight matrices (PWMs) for transcription factors in Saccharomyces species. It identifies a single matrix for each TF that best predicts in vivo data, providing metrics related to the performance of that matrix in accurately representing the DNA binding specificity of the annotated transcription factor.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Protein domain","Nucleotide","Transcription factor","Sequence","Binding site"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1811,"pubmed_id":22140105,"title":"ScerTF: a comprehensive database of benchmarked position weight matrices for Saccharomyces species.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1180","authors":"Spivak AT., Stormo GD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1180","created_at":"2021-09-30T08:25:43.271Z","updated_at":"2021-09-30T08:25:43.271Z"}],"licence_links":[{"licence_name":"ScerTF Attribution required","licence_id":729,"licence_url":"http://stormo.wustl.edu/ScerTF/","link_id":2215,"relation":"undefined"}],"grants":[{"id":11609,"fairsharing_record_id":2122,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:36.417Z","updated_at":"2024-03-21T13:59:36.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2129","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:58.640Z","metadata":{"doi":"10.25504/FAIRsharing.dxj07r","name":"MGnify","status":"ready","contacts":[{"contact_name":"Robert D Finn","contact_email":"rdf@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/metagenomics/","citations":[{"doi":"10.1093/nar/gkz1035","pubmed_id":31696235,"publication_id":2769}],"identifier":2129,"description":"EBI Metagenomics has changed its name to MGnify to reflect a change in scope. This is a free-to-use resource aiming at supporting all metagenomics researchers. The service is an automated pipeline for the analysis and archiving of metagenomic data that aims to provide insights into the phylogenetic diversity as well as the functional and metabolic potential of a sample. You can freely browse all the public data in the repository.","abbreviation":"MGnify","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/support/metagenomics","name":"Metagenomics Contact Form","type":"Contact form"},{"url":"metagenomics-help@ebi.ac.uk","name":"General contact","type":"Support email"},{"url":"https://www.ebi.ac.uk/metagenomics/help","name":"Help","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/metagenomics/about","name":"About MGnify","type":"Help documentation"},{"url":"https://emg-docs.readthedocs.io/en/latest/","name":"MGnify documentation","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/ebi-metagenomics-portal-submitting-metagenomics-data-to-the-european-nucleotide-archive","name":"Ebi metagenomics portal submitting metagenomics data to the european nucleotide archive","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/ebi-metagenomics-portal-quick-tour","name":"Ebi metagenomics portal quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/course/ebi-metagenomics-portal-submitting-metagenomics-da","name":"Submitting metagenomics data to ENA","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ebi-metagenomics-portal-quick-tour","name":"MGnify Quick tour","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ebi-metagenomics-analysing-and-exploring-metagenomics-data","name":"Analysing and exploring metagenomics data","type":"Training documentation"},{"url":"https://twitter.com/MGnifyDB","name":"@MGnifyDB","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011192","name":"re3data:r3d100011192","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/metagenomics/login","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000599","bsg-d000599"],"name":"FAIRsharing record for: MGnify","abbreviation":"MGnify","url":"https://fairsharing.org/10.25504/FAIRsharing.dxj07r","doi":"10.25504/FAIRsharing.dxj07r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EBI Metagenomics has changed its name to MGnify to reflect a change in scope. This is a free-to-use resource aiming at supporting all metagenomics researchers. The service is an automated pipeline for the analysis and archiving of metagenomic data that aims to provide insights into the phylogenetic diversity as well as the functional and metabolic potential of a sample. You can freely browse all the public data in the repository.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10976},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11359},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12172},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12697},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13906}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Taxonomy","Phylogeny","Biodiversity","Phylogenomics","Life Science","Biomedical Science"],"domains":["DNA sequence data","Annotation","Sequence annotation","Gene prediction","Metagenome","Non-coding RNA","Gene","16S rRNA","Genome","Microbiome"],"taxonomies":["All","Anopheles gambiae","Arabidopsis thaliana","Bos indicus","Bos taurus","Bubalus bubalis","Clostridium Difficile","Escherichia coli","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Metatranscriptome"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":749,"pubmed_id":24165880,"title":"EBI metagenomics--a new resource for the analysis and archiving of metagenomic data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt961","authors":"Hunter S,Corbett M,Denise H,Fraser M,Gonzalez-Beltran A,Hunter C,Jones P,Leinonen R,McAnulla C,Maguire E,Maslen J,Mitchell A,Nuka G,Oisel A,Pesseat S,Radhakrishnan R,Rocca-Serra P,Scheremetjew M,Sterk P,Vaughan D,Cochrane G,Field D,Sansone SA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt961","created_at":"2021-09-30T08:23:42.475Z","updated_at":"2021-09-30T11:28:49.600Z"},{"id":2760,"pubmed_id":29069476,"title":"EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies.","year":2017,"url":"http://doi.org/10.1093/nar/gkx967","authors":"Mitchell AL,Scheremetjew M,Denise H,Potter S,Tarkowska A,Qureshi M,Salazar GA,Pesseat S,Boland MA,Hunter FMI,Ten Hoopen P,Alako B,Amid C,Wilkinson DJ,Curtis TP,Cochrane G,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx967","created_at":"2021-09-30T08:27:39.196Z","updated_at":"2021-09-30T11:29:42.928Z"},{"id":2769,"pubmed_id":31696235,"title":"MGnify: the microbiome analysis resource in 2020.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1035","authors":"Mitchell AL,Almeida A,Beracochea M,Boland M,Burgin J,Cochrane G,Crusoe MR,Kale V,Potter SC,Richardson LJ,Sakharova E,Scheremetjew M,Korobeynikov A,Shlemov A,Kunyavskaya O,Lapidus A,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1035","created_at":"2021-09-30T08:27:40.312Z","updated_at":"2021-09-30T11:29:43.587Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1706,"relation":"undefined"}],"grants":[{"id":1735,"fairsharing_record_id":2129,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:25:18.701Z","updated_at":"2021-09-30T09:31:33.153Z","grant_id":1221,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"18-54-74004","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7894,"fairsharing_record_id":2129,"organisation_id":1264,"relation":"funds","created_at":"2021-09-30T09:29:31.301Z","updated_at":"2021-09-30T09:29:31.354Z","grant_id":282,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"817729","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8377,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:21.327Z","updated_at":"2021-09-30T09:32:21.402Z","grant_id":1582,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/N018354/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8398,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:27.410Z","updated_at":"2021-09-30T09:32:27.465Z","grant_id":1628,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I025840/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1738,"fairsharing_record_id":2129,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:18.826Z","updated_at":"2021-09-30T09:25:18.826Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1737,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:18.784Z","updated_at":"2021-09-30T09:29:13.361Z","grant_id":145,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M011453/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1739,"fairsharing_record_id":2129,"organisation_id":1353,"relation":"funds","created_at":"2021-09-30T09:25:18.864Z","updated_at":"2021-09-30T09:30:39.258Z","grant_id":808,"is_lead":false,"saved_state":{"id":1353,"name":"InnovateUK","grant":"102513","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1736,"fairsharing_record_id":2129,"organisation_id":1264,"relation":"funds","created_at":"2021-09-30T09:25:18.743Z","updated_at":"2021-09-30T09:29:30.431Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8276,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:52.440Z","updated_at":"2021-09-30T09:31:52.497Z","grant_id":1366,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I02612X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8343,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:12.519Z","updated_at":"2021-09-30T09:32:12.597Z","grant_id":1517,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M011755/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8400,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:27.818Z","updated_at":"2021-09-30T09:32:27.909Z","grant_id":1631,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000771/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8445,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:40.343Z","updated_at":"2021-09-30T09:32:40.399Z","grant_id":1727,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/R015228/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9224,"fairsharing_record_id":2129,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.574Z","updated_at":"2022-04-11T12:07:23.592Z","grant_id":717,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7 grant MICROB3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2130","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:14.318Z","metadata":{"doi":"10.25504/FAIRsharing.cr410r","name":"Soybean Knowledge Base","status":"ready","contacts":[{"contact_name":"Dr. Trupti Joshi","contact_email":"joshitr@missouri.edu"}],"homepage":"http://soykb.org/","identifier":2130,"description":"Soybean Knowledge Base (SoyKB), is a comprehensive all-inclusive web resource developed for soybean translational genomics and molecular breeding. SoyKB stores information about genes/proteins, miRNAs/sRNAs, metabolites, SNPs, plant introduction (PI lines) and traits. It handles the management and integration of soybean genomics and multi-omics data along with gene function annotations, biological pathway and trait information. It has many useful tools including gene family search, multiple gene/metabolite analysis, motif analysis tool, protein 3D structure viewer and data download and upload capacity. It has a user-friendly web interface together with genome browser and pathway viewer, which displays data in an intuitive manner to the soybean researchers, breeders and consumers. The QTLs, SNP, GWAS and traits information is seamlessly integrated in our newly developed suite of tools for the In Silico Breeding Program. It allows integration and extraction of the data in a tabular format as well as graphical visualization in our in-house Chromosome Visualizer. It also supports integration and visualization of Genotype by Sequencing (GBS) data for molecular breeding and phenotypic inferences. In addition, SoyKB now has capacity for incorporation of DNA methylation data and fast neutron mutation datasets. It is also linked seamlessly with P3DB for phosphorylation data. We have also incorporated suite of tools for differential expression analysis for microarray, transcriptomics RNA-seq, proteomics and metabolomics datasets. It includes access to gene lists, Venn diagrams, Volcano plots, functional annotations and pathway analysis. SoyKB is now powered by the iPlant Cyber-Infrastructure. The website is hosted on the iPlant’s advanced computing infrastructure established to leverage the data analysis capabilities.","abbreviation":"SoyKB","data_curation":{"type":"not found"},"support_links":[{"url":"http://soykb.org/contact.php","type":"Contact form"},{"url":"joshitr@missouri.edu","type":"Support email"},{"url":"xudong@missouri.edu","type":"Support email"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://soykb.org/search/gene_pathway.php","name":"Gene Pathway Viewer"},{"url":"http://soykb.org/search/metabolite_pathway.php","name":"Metabolite Pathway Viewer"},{"url":"http://soykb.org/Breeder_Tool_Box/index.php","name":"In Silico Breeding Program Suite of Tools"},{"url":"http://soykb.org/search/protein_structure.php","name":"3D Protein Structure"},{"url":"http://soykb.org/DiffExp/diffExp.php","name":"Differential Expression Suite of Tools"},{"url":"http://soykb.org/blast.php","name":"Blast"},{"url":"http://soykb.org/clustal.php","name":"Multiple Sequence Alignment"},{"url":"http://soykb.org/proteinbioview/protein2DImageSystem/search.php","name":"ProteinBioView"},{"url":"http://soykb.org/heatmap/heatmap.php","name":"Heatmap and Hierarchical Clustering"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://soykb.org/upload.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000600","bsg-d000600"],"name":"FAIRsharing record for: Soybean Knowledge Base","abbreviation":"SoyKB","url":"https://fairsharing.org/10.25504/FAIRsharing.cr410r","doi":"10.25504/FAIRsharing.cr410r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Soybean Knowledge Base (SoyKB), is a comprehensive all-inclusive web resource developed for soybean translational genomics and molecular breeding. SoyKB stores information about genes/proteins, miRNAs/sRNAs, metabolites, SNPs, plant introduction (PI lines) and traits. It handles the management and integration of soybean genomics and multi-omics data along with gene function annotations, biological pathway and trait information. It has many useful tools including gene family search, multiple gene/metabolite analysis, motif analysis tool, protein 3D structure viewer and data download and upload capacity. It has a user-friendly web interface together with genome browser and pathway viewer, which displays data in an intuitive manner to the soybean researchers, breeders and consumers. The QTLs, SNP, GWAS and traits information is seamlessly integrated in our newly developed suite of tools for the In Silico Breeding Program. It allows integration and extraction of the data in a tabular format as well as graphical visualization in our in-house Chromosome Visualizer. It also supports integration and visualization of Genotype by Sequencing (GBS) data for molecular breeding and phenotypic inferences. In addition, SoyKB now has capacity for incorporation of DNA methylation data and fast neutron mutation datasets. It is also linked seamlessly with P3DB for phosphorylation data. We have also incorporated suite of tools for differential expression analysis for microarray, transcriptomics RNA-seq, proteomics and metabolomics datasets. It includes access to gene lists, Venn diagrams, Volcano plots, functional annotations and pathway analysis. SoyKB is now powered by the iPlant Cyber-Infrastructure. The website is hosted on the iPlant’s advanced computing infrastructure established to leverage the data analysis capabilities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Proteomics","Computational Biology","Life Science","Metabolomics","Transcriptomics"],"domains":["DNA methylation","Germ plasm","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Phenotype","Micro RNA","Single nucleotide polymorphism","Genome","Genome-wide association study"],"taxonomies":["Glycine max"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":231,"pubmed_id":null,"title":"Soybean Knowledge Base (SoyKB): A web resource for integration of soybean translational genomics and molecular breeding","year":2013,"url":"http://doi.org/10.1093/nar/gkt905","authors":"Joshi T, Fitzpatrick MR, Chen S, Liu Y, Zhang H, Endacott RZ, Gaudiello EC, Stacey G, Nguyen HT, Xu D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt905","created_at":"2021-09-30T08:22:44.948Z","updated_at":"2021-09-30T08:22:44.948Z"},{"id":570,"pubmed_id":22369646,"title":"Soybean Knowledge Base (SoyKB): a web resource for soybean translational genomics.","year":2012,"url":"http://doi.org/10.1186/1471-2164-13-S1-S15","authors":"Joshi T, Patil K, Fitzpatrick MR, Franklin LD, Yao Q, Cook JR, Wang Z, Libault M, Brechenmacher L, Valliyodan B, Wu X, Cheng J, Stacey G, Nguyen HT, Xu D.","journal":"BMC Genomics","doi":"10.1186/1471-2164-13-S1-S15","created_at":"2021-09-30T08:23:22.370Z","updated_at":"2021-09-30T08:23:22.370Z"}],"licence_links":[],"grants":[{"id":1741,"fairsharing_record_id":2130,"organisation_id":3098,"relation":"maintains","created_at":"2021-09-30T09:25:18.943Z","updated_at":"2021-09-30T09:25:18.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":3098,"name":"University of Missouri, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2114","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:56.546Z","metadata":{"doi":"10.25504/FAIRsharing.p06nme","name":"Biological Magnetic Resonance Data Bank","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"help@bmrb.io","contact_orcid":null}],"homepage":"https://bmrb.io/","citations":[{"doi":"10.1093/nar/gkm957","pubmed_id":17984079,"publication_id":1723}],"identifier":2114,"description":"BMRB collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR spectroscopic investigations of biological macromolecules and metabolites. Its goal is to empower scientists in their analysis of the structure, dynamics, and chemistry of biological systems and to support further development of the field of biomolecular NMR spectroscopy.","abbreviation":"BMRB","data_curation":{"url":"https://bmrb.io/bmrb/data_accepted.shtml","type":"manual/automated","notes":"Validation Process"},"support_links":[{"url":"https://bmrb.io/bmrb/news/","name":"News","type":"Blog/News"},{"url":"https://bmrb.io/education/","name":"Education and Outreach","type":"Help documentation"},{"url":"https://bmrb.io/standards/","name":"Standards Used","type":"Help documentation"}],"year_creation":1988,"data_versioning":"no","associated_tools":[{"url":"https://bmrb.io/validate/","name":"Validation Tools Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010191","name":"re3data:r3d100010191","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002296","name":"SciCrunch:RRID:SCR_002296","portal":"SciCrunch"}],"data_access_condition":{"url":"https://bmrb.io/bmrb/aims_and_policies.shtml","type":"open","notes":"BioMagResBank (BMRB) is the publicly-accessible depository"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://bmrb.io/deposit/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000584","bsg-d000584"],"name":"FAIRsharing record for: Biological Magnetic Resonance Data Bank","abbreviation":"BMRB","url":"https://fairsharing.org/10.25504/FAIRsharing.p06nme","doi":"10.25504/FAIRsharing.p06nme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BMRB collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR spectroscopic investigations of biological macromolecules and metabolites. Its goal is to empower scientists in their analysis of the structure, dynamics, and chemistry of biological systems and to support further development of the field of biomolecular NMR spectroscopy.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10970},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13116},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13548},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20016}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","Protein structure","Peptide","Molecular entity","Nucleic acid","Ligand","Nuclear Magnetic Resonance (NMR) spectroscopy","Spectrum","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":552,"pubmed_id":18288446,"title":"BioMagResBank (BMRB) as a partner in the Worldwide Protein Data Bank (wwPDB): new policies affecting biomolecular NMR depositions.","year":2008,"url":"http://doi.org/10.1007/s10858-008-9221-y","authors":"Markley JL., Ulrich EL., Berman HM., Henrick K., Nakamura H., Akutsu H.,","journal":"J. Biomol. NMR","doi":"10.1007/s10858-008-9221-y","created_at":"2021-09-30T08:23:20.259Z","updated_at":"2021-09-30T08:23:20.259Z"},{"id":1723,"pubmed_id":17984079,"title":"BioMagResBank.","year":2007,"url":"http://doi.org/10.1093/nar/gkm957","authors":"Ulrich EL,Akutsu H,Doreleijers JF,Harano Y,Ioannidis YE,Lin J,Livny M,Mading S,Maziuk D,Miller Z,Nakatani E,Schulte CF,Tolmie DE,Kent Wenger R,Yao H,Markley JL","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm957","created_at":"2021-09-30T08:25:33.068Z","updated_at":"2021-09-30T11:29:19.360Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2783,"relation":"applies_to_content"}],"grants":[{"id":1683,"fairsharing_record_id":2114,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:16.571Z","updated_at":"2021-09-30T09:25:16.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9748,"fairsharing_record_id":2114,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T12:55:09.635Z","updated_at":"2022-08-02T12:55:09.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1685,"fairsharing_record_id":2114,"organisation_id":3152,"relation":"maintains","created_at":"2021-09-30T09:25:16.646Z","updated_at":"2021-09-30T09:25:16.646Z","grant_id":null,"is_lead":true,"saved_state":{"id":3152,"name":"University of Wisconsin-Madison","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8676,"fairsharing_record_id":2114,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-06T12:13:53.962Z","updated_at":"2022-01-06T12:13:53.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":9161,"fairsharing_record_id":2114,"organisation_id":2045,"relation":"funds","created_at":"2022-04-11T12:07:18.511Z","updated_at":"2022-04-11T12:07:18.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbmNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--53151fdfcdd1a0243364d3988b9a7549378a3bc1/Screenshot%20from%202022-08-02%2013-51-00.png?disposition=inline","exhaustive_licences":false}},{"id":"2115","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:17:15.578Z","metadata":{"doi":"10.25504/FAIRsharing.anpa6","name":"A Systematic Annotation Package","status":"ready","contacts":[{"contact_name":"Paul Liss","contact_email":"pmliss@wisc.edu"}],"homepage":"https://asap.ahabs.wisc.edu/asap/home.php","citations":[],"identifier":2115,"description":"ASAP is a relational database and web interface developed to store, update and distribute genome sequence data and gene expression data. It was designed to facilitate ongoing community annotation of genomes and to grow with genome projects as they move from the preliminary data stage through post-sequencing functional analysis.","abbreviation":"ASAP","data_curation":{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?LocationID=\u0026SequenceVersionID=\u0026GenomeID=\u0026ExpSetID=#_Curators","type":"manual"},"support_links":[{"url":"ASAPdbAdmin@ahabs.wisc.edu","type":"Support email"},{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010666","name":"re3data:r3d100010666","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001849","name":"SciCrunch:RRID:SCR_001849","portal":"SciCrunch"}],"data_access_condition":{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?LocationID=\u0026SequenceVersionID=\u0026GenomeID=\u0026ExpSetID=#_UserPermissions","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?LocationID=\u0026SequenceVersionID=\u0026GenomeID=\u0026ExpSetID=#_Submitters","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000585","bsg-d000585"],"name":"FAIRsharing record for: A Systematic Annotation Package","abbreviation":"ASAP","url":"https://fairsharing.org/10.25504/FAIRsharing.anpa6","doi":"10.25504/FAIRsharing.anpa6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ASAP is a relational database and web interface developed to store, update and distribute genome sequence data and gene expression data. It was designed to facilitate ongoing community annotation of genomes and to grow with genome projects as they move from the preliminary data stage through post-sequencing functional analysis.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12692}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Developmental Biology","Life Science","Comparative Genomics"],"domains":["Expression data","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":537,"pubmed_id":12519969,"title":"ASAP, a systematic annotation package for community analysis of genomes.","year":2003,"url":"http://doi.org/10.1093/nar/gkg125","authors":"Glasner JD., Liss P., Plunkett G., Darling A., Prasad T., Rusch M., Byrnes A., Gilson M., Biehl B., Blattner FR., Perna NT.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg125","created_at":"2021-09-30T08:23:18.676Z","updated_at":"2021-09-30T08:23:18.676Z"}],"licence_links":[],"grants":[{"id":1688,"fairsharing_record_id":2115,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:16.753Z","updated_at":"2021-09-30T09:31:04.526Z","grant_id":1004,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM35682-15A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8201,"fairsharing_record_id":2115,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:29.048Z","updated_at":"2021-09-30T09:31:29.106Z","grant_id":1190,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM62994-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1687,"fairsharing_record_id":2115,"organisation_id":3152,"relation":"maintains","created_at":"2021-09-30T09:25:16.721Z","updated_at":"2021-09-30T09:25:16.721Z","grant_id":null,"is_lead":false,"saved_state":{"id":3152,"name":"University of Wisconsin-Madison","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1686,"fairsharing_record_id":2115,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:16.683Z","updated_at":"2021-09-30T09:31:36.476Z","grant_id":1246,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"2001-52100-11316","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2116","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:25.725Z","metadata":{"doi":"10.25504/FAIRsharing.2mayq0","name":"Structural and functional annotation of Arabidopsis thaliana gene and protein families","status":"deprecated","contacts":[{"contact_email":"aubourg@evry.inra.fr"}],"homepage":"http://urgi.versailles.inra.fr/Genefarm/index.htpl","identifier":2116,"description":"GeneFarm is a database whose purpose is to store traceable annotations for Arabidopsis nuclear genes and gene products.","abbreviation":"GeneFarm","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://urgi.versailles.inra.fr/Genefarm/Search/search_frame.htpl","name":"search"},{"url":"http://urgi.versailles.inra.fr/Genefarm/Search/search_frame.htpl","name":"advanced search"},{"url":"http://urgi.versailles.inra.fr/Genefarm/Search/search_frame.htpl","name":"BLAST"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000586","bsg-d000586"],"name":"FAIRsharing record for: Structural and functional annotation of Arabidopsis thaliana gene and protein families","abbreviation":"GeneFarm","url":"https://fairsharing.org/10.25504/FAIRsharing.2mayq0","doi":"10.25504/FAIRsharing.2mayq0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneFarm is a database whose purpose is to store traceable annotations for Arabidopsis nuclear genes and gene products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Nucleotide","Sequence","Genome"],"taxonomies":["Arabidopsis thaliana","Viridiplantae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":587,"pubmed_id":15608279,"title":"GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts.","year":2004,"url":"http://doi.org/10.1093/nar/gki115","authors":"Aubourg S., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki115","created_at":"2021-09-30T08:23:24.318Z","updated_at":"2021-09-30T08:23:24.318Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1547,"relation":"undefined"}],"grants":[{"id":1689,"fairsharing_record_id":2116,"organisation_id":2917,"relation":"maintains","created_at":"2021-09-30T09:25:16.777Z","updated_at":"2021-09-30T09:25:16.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":2917,"name":"Unit de Recherches en Gnomique Info (URGI), Versailles, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2117","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:31.460Z","metadata":{"doi":"10.25504/FAIRsharing.bn6jba","name":"Poxvirus Bioinformatics Resource Center","status":"deprecated","contacts":[{"contact_name":"Elliot Lefkowitz","contact_email":"elliotl@uab.edu"}],"homepage":"http://www.poxvirus.org","identifier":2117,"description":"Poxvirus Bioinformatics Resource Center has been established to provide specialized web-based resources to the scientific community studying poxviruses. This resource is no longer being maintained. For tools and data supporting virus genomics, especially related to poxviruses and other large DNA viruses, please visit the Viral Bioinformatics site maintained by our collaborator, Chris Upton: http://virology.ca For information on virus taxonomy, please visit the ICTV web site at http://www.ictvonline.org/ For updated sequence data and analytical tools, please visit http://www.viprbrc.org","abbreviation":null,"data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://www.poxvirus.org/blast.asp","name":"BLAST"}],"deprecation_date":"2016-12-28","deprecation_reason":"This resource is no longer being maintained due to lack of resources to maintain the website.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000587","bsg-d000587"],"name":"FAIRsharing record for: Poxvirus Bioinformatics Resource Center","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bn6jba","doi":"10.25504/FAIRsharing.bn6jba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Poxvirus Bioinformatics Resource Center has been established to provide specialized web-based resources to the scientific community studying poxviruses. This resource is no longer being maintained. For tools and data supporting virus genomics, especially related to poxviruses and other large DNA viruses, please visit the Viral Bioinformatics site maintained by our collaborator, Chris Upton: http://virology.ca For information on virus taxonomy, please visit the ICTV web site at http://www.ictvonline.org/ For updated sequence data and analytical tools, please visit http://www.viprbrc.org","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Structure","Protein","Genome"],"taxonomies":["Poxviridae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":577,"pubmed_id":15608205,"title":"Poxvirus Bioinformatics Resource Center: a comprehensive Poxviridae informational and analytical resource.","year":2004,"url":"http://doi.org/10.1093/nar/gki110","authors":"Lefkowitz EJ., Upton C., Changayil SS., Buck C., Traktman P., Buller RM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki110","created_at":"2021-09-30T08:23:23.152Z","updated_at":"2021-09-30T08:23:23.152Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":781,"relation":"undefined"}],"grants":[{"id":1690,"fairsharing_record_id":2117,"organisation_id":2101,"relation":"funds","created_at":"2021-09-30T09:25:16.801Z","updated_at":"2021-09-30T09:29:28.444Z","grant_id":261,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","grant":"OPG0155125-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1691,"fairsharing_record_id":2117,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:25:16.828Z","updated_at":"2021-09-30T09:29:43.286Z","grant_id":375,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 AI48706","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8246,"fairsharing_record_id":2117,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:31:43.374Z","updated_at":"2021-09-30T09:31:43.432Z","grant_id":1298,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 AI48653-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2109","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:43:52.147Z","metadata":{"doi":"10.25504/FAIRsharing.tpey2t","name":"Online Mendelian Inheritance in Animals","status":"ready","contacts":[{"contact_name":"Frank Nicholas","contact_email":"frank.nicholas@sydney.edu.au"}],"homepage":"https://omia.org/home/","identifier":2109,"description":"Online Mendelian Inheritance in Animals is a a database of inherited disorders, other (single-locus) traits, and genes in animal species (other than human and mouse).","abbreviation":"OMIA","data_curation":{"url":"https://omia.org/home/","type":"manual"},"support_links":[{"url":"https://omia.org/news/","name":"News","type":"Blog/News"}],"year_creation":1978,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010772","name":"re3data:r3d100010772","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006436","name":"SciCrunch:RRID:SCR_006436","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000579","bsg-d000579"],"name":"FAIRsharing record for: Online Mendelian Inheritance in Animals","abbreviation":"OMIA","url":"https://fairsharing.org/10.25504/FAIRsharing.tpey2t","doi":"10.25504/FAIRsharing.tpey2t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Online Mendelian Inheritance in Animals is a a database of inherited disorders, other (single-locus) traits, and genes in animal species (other than human and mouse).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Biology"],"domains":["Phenotype","Disorder","Classification","Gene","Genetic disorder"],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":557,"pubmed_id":16381939,"title":"OMIA (Online Mendelian Inheritance in Animals): an enhanced platform and integration into the Entrez search interface at NCBI.","year":2005,"url":"http://doi.org/10.1093/nar/gkj152","authors":"Lenffer J., Nicholas FW., Castle K., Rao A., Gregory S., Poidinger M., Mailman MD., Ranganathan S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj152","created_at":"2021-09-30T08:23:20.868Z","updated_at":"2021-09-30T08:23:20.868Z"},{"id":2080,"pubmed_id":12520001,"title":"Online Mendelian Inheritance in Animals (OMIA): a comparative knowledgebase of genetic disorders and other familial traits in non-laboratory animals.","year":2003,"url":"http://doi.org/10.1093/nar/gkg074","authors":"Nicholas FW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg074","created_at":"2021-09-30T08:26:14.533Z","updated_at":"2021-09-30T08:26:14.533Z"},{"id":2101,"pubmed_id":33156546,"title":"Online Mendelian Inheritance in Animals (OMIA): a record of advances in animal genetics, freely available on the Internet for 25 years.","year":2020,"url":"http://doi.org/10.1111/age.13010","authors":"Nicholas FW","journal":"Anim Genet","doi":"10.1111/age.13010","created_at":"2021-09-30T08:26:16.749Z","updated_at":"2021-09-30T08:26:16.749Z"}],"licence_links":[{"licence_name":"Sydney University Data Policies and Disclaimer","licence_id":765,"licence_url":"https://sydney.edu.au/disclaimer.shtml","link_id":258,"relation":"undefined"},{"licence_name":"The University of Sydney Privacy Policy","licence_id":787,"licence_url":"https://sydney.edu.au/privacy.shtml","link_id":280,"relation":"undefined"}],"grants":[{"id":1676,"fairsharing_record_id":2109,"organisation_id":3130,"relation":"maintains","created_at":"2021-09-30T09:25:16.254Z","updated_at":"2021-09-30T09:25:16.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":3130,"name":"University of Sydney, Australia","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2110","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:37.891Z","metadata":{"doi":"10.25504/FAIRsharing.cnwx8c","name":"UNITE","status":"ready","contacts":[{"contact_name":"Urmas Kõljalg","contact_email":"urmas.koljalg@ut.ee","contact_orcid":"0000-0002-5171-1668"},{"contact_name":"Kessy Abarenkov","contact_email":"kessy.abarenkov@ut.ee","contact_orcid":null}],"homepage":"https://unite.ut.ee/index.php","citations":[],"identifier":2110,"description":"UNITE is a database and sequence management environment centered on the eukaryotic nuclear ribosomal ITS region. All eukaryotic ITS sequences from the International Nucleotide Sequence Database Collaboration are clustered to approximately the species level (distance between species in steps of 0.5%), and all such species hypotheses are given a DOI to facilitate unambiguous scientific communication and data assembly. The user can interact with these species hypotheses (e.g., SH1566366.08FU) in various ways, and third-party sequence and metadata annotation are supported. Registration is needed to access the more powerful features of the accompanying PlutoF workbench. A range of search and query options are available, and precompiled reference datasets for local sequence similarity searches and HTS pipelines are available for download. Owing to the mycological roots of UNITE, two versions of the release files are available: all eukaryotes (including fungi), and fungi only. UNITE is a community effort that relies on the scientific expertise of its users – please consider contributing by, e.g., annotating sequences of your taxa of expertise.","abbreviation":null,"data_curation":{"url":"https://unite.ut.ee/curation.php","type":"manual","notes":"Third-party annotations are performed by the UNITE Community members."},"support_links":[{"url":"info@plutof.ut.ee","type":"Support email"},{"url":"https://unite.ut.ee/primers.php","name":"News, Courses \u0026 Workshops, Primer Notes","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://unite.ut.ee/analysis.php","name":"Analysis"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011316","name":"re3data:r3d100011316","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006518","name":"SciCrunch:RRID:SCR_006518","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://plutof.ut.ee/public/manuals/docs/sh_manual_3_en.pdf","type":"controlled","notes":"Only aproved members can submit data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000580","bsg-d000580"],"name":"FAIRsharing record for: UNITE","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.cnwx8c","doi":"10.25504/FAIRsharing.cnwx8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UNITE is a database and sequence management environment centered on the eukaryotic nuclear ribosomal ITS region. All eukaryotic ITS sequences from the International Nucleotide Sequence Database Collaboration are clustered to approximately the species level (distance between species in steps of 0.5%), and all such species hypotheses are given a DOI to facilitate unambiguous scientific communication and data assembly. The user can interact with these species hypotheses (e.g., SH1566366.08FU) in various ways, and third-party sequence and metadata annotation are supported. Registration is needed to access the more powerful features of the accompanying PlutoF workbench. A range of search and query options are available, and precompiled reference datasets for local sequence similarity searches and HTS pipelines are available for download. Owing to the mycological roots of UNITE, two versions of the release files are available: all eukaryotes (including fungi), and fungi only. UNITE is a community effort that relies on the scientific expertise of its users – please consider contributing by, e.g., annotating sequences of your taxa of expertise.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14016}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Bioinformatics","Taxonomy","Ecology","Biodiversity"],"domains":["Taxonomic classification","Annotation","Deoxyribonucleic acid","Ribosomal RNA","Gene","FAIR"],"taxonomies":["Eukaryota","Fungi"],"user_defined_tags":[],"countries":["Australia","Denmark","Estonia","Norway","Sweden","United Kingdom"],"publications":[{"id":541,"pubmed_id":20409185,"title":"The UNITE database for molecular identification of fungi--recent updates and future perspectives.","year":2010,"url":"http://doi.org/10.1111/j.1469-8137.2009.03160.x","authors":"Abarenkov K., Henrik Nilsson R., Larsson KH., Alexander IJ., Eberhardt U., Erland S., Høiland K., Kjøller R., Larsson E., Pennanen T., Sen R., Taylor AF., Tedersoo L., Ursing BM., Vrålstad T., Liimatainen K., Peintner U., Kõljalg U.,","journal":"New Phytol.","doi":"10.1111/j.1469-8137.2009.03160.x","created_at":"2021-09-30T08:23:19.085Z","updated_at":"2021-09-30T08:23:19.085Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Generic (CC BY-NC-ND 2.5)","licence_id":175,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/","link_id":773,"relation":"undefined"}],"grants":[{"id":9675,"fairsharing_record_id":2110,"organisation_id":3058,"relation":"collaborates_on","created_at":"2022-07-13T13:41:04.247Z","updated_at":"2022-07-13T13:41:04.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":1677,"fairsharing_record_id":2110,"organisation_id":3132,"relation":"maintains","created_at":"2021-09-30T09:25:16.291Z","updated_at":"2022-07-13T13:41:04.341Z","grant_id":null,"is_lead":true,"saved_state":{"id":3132,"name":"University of Tartu, Estonia","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBiQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b705a6367c7216a58b8ff3fe1165465a53ca7a2d/unite-logo-ring2.png?disposition=inline","exhaustive_licences":false}},{"id":"2126","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:10.301Z","metadata":{"doi":"10.25504/FAIRsharing.651n9j","name":"Electron Microscopy Data Bank","status":"ready","contacts":[{"contact_name":"Ardan Patwardhan","contact_email":"help@emdatabank.org","contact_orcid":"0000-0001-7663-9028"}],"homepage":"https://www.ebi.ac.uk/emdb/","citations":[{"doi":"10.1093/nar/gkv1126","pubmed_id":26578576,"publication_id":2978}],"identifier":2126,"description":"Cryo-electron microscopy reconstruction methods are uniquely able to reveal structures of many important macromolecules and macromolecular complexes. The Electron Microscopy Data Bank (EMDB) is a public repository for electron microscopy density maps of macromolecular complexes and subcellular structures. It covers a variety of techniques, including single-particle analysis, electron tomography, and electron (2D) crystallography. The EMDB was founded at EBI in 2002, under the leadership of Kim Henrick. Since 2007 it has been operated jointly by the PDBe, and the Research Collaboratory for Structural Bioinformatics (RCSB PDB) as a part of EMDataBank which is funded by a joint NIH grant to PDBe, the RCSB and the National Center for Macromolecular Imaging (NCMI).","abbreviation":"EMDB","data_curation":{"url":"https://www.ebi.ac.uk/emdb/documentation/policies#5","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/emdb/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/emdb/genealogy.html","name":"3DEM History and Genealogy","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/emdb/emschema.html/","name":"EMDB Data Model","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/emdb/statistics_main.html","name":"EMDB Statistics","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/emdb/policies.html","name":"Policies","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/emdb/validators.html/","name":"EM Validation Services"},{"url":"https://www.ebi.ac.uk/emdb/test_data.html","name":"Test data"},{"url":"https://www.ebi.ac.uk/emdb/validation/fsc/","name":"Fourier shell correlation server"},{"url":"https://www.ebi.ac.uk/emdb/validation/tiltpair/","name":"Tilt pair validation server"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010562","name":"re3data:r3d100010562","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006506","name":"SciCrunch:RRID:SCR_006506","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://deposit-pdbe.wwpdb.org/deposition/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000596","bsg-d000596"],"name":"FAIRsharing record for: Electron Microscopy Data Bank","abbreviation":"EMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.651n9j","doi":"10.25504/FAIRsharing.651n9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cryo-electron microscopy reconstruction methods are uniquely able to reveal structures of many important macromolecules and macromolecular complexes. The Electron Microscopy Data Bank (EMDB) is a public repository for electron microscopy density maps of macromolecular complexes and subcellular structures. It covers a variety of techniques, including single-particle analysis, electron tomography, and electron (2D) crystallography. The EMDB was founded at EBI in 2002, under the leadership of Kim Henrick. Since 2007 it has been operated jointly by the PDBe, and the Research Collaboratory for Structural Bioinformatics (RCSB PDB) as a part of EMDataBank which is funded by a joint NIH grant to PDBe, the RCSB and the National Center for Macromolecular Imaging (NCMI).","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10973},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11358},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11848},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12319},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12696},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12957},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13978},{"linking_record_name":"EVORA’s Selection of FAIRsharing Referenced Resources for Pandemic Preparedness and Response","linking_record_id":5449,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19701}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology","Virology","Epidemiology"],"domains":["Bioimaging","X-ray diffraction","Electron density map","Microscopy","Electron microscopy","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":567,"pubmed_id":20935055,"title":"EMDataBank.org: unified data resource for CryoEM","year":2010,"url":"http://doi.org/10.1093/nar/gkq880","authors":"Lawson CL, Baker ML, Best C, Bi C, Dougherty M, Feng P, van Ginkel G, Devkota B, Lagerstedt I, Ludtke SJ, Newman RH, Oldfield TJ, Rees I, Sahni G, Sala R, Velankar S, Warren J, Westbrook JD, Henrick K, Kleywegt GJ, Berman HM, Chiu W.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq880","created_at":"2021-09-30T08:23:22.001Z","updated_at":"2021-09-30T08:23:22.001Z"},{"id":670,"pubmed_id":12417136,"title":"New electron microscopy database and deposition system","year":2002,"url":"http://doi.org/10.1016/s0968-0004(02)02176-x","authors":"Tagari, M. Newman, R. Chagoyen, M. Carazo, J. M. Henrick, K.","journal":"Trends in Biochemical Sciences","doi":"10.1016/S0968-0004(02)02176-X","created_at":"2021-09-30T08:23:33.935Z","updated_at":"2021-09-30T08:23:33.935Z"},{"id":2978,"pubmed_id":26578576,"title":"EMDataBank unified data resource for 3DEM.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1126","authors":"Lawson CL,Patwardhan A,Baker ML,Hryc C,Garcia ES,Hudson BP,Lagerstedt I,Ludtke SJ,Pintilie G,Sala R,Westbrook JD,Berman HM,Kleywegt GJ,Chiu W","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1126","created_at":"2021-09-30T08:28:06.973Z","updated_at":"2021-09-30T11:29:49.395Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2782,"relation":"applies_to_content"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1861,"relation":"undefined"}],"grants":[{"id":1712,"fairsharing_record_id":2126,"organisation_id":2423,"relation":"maintains","created_at":"2021-09-30T09:25:17.637Z","updated_at":"2021-09-30T09:25:17.637Z","grant_id":null,"is_lead":true,"saved_state":{"id":2423,"name":"Research Collaboratory for Structural Bioinformatics","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":1710,"fairsharing_record_id":2126,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:17.567Z","updated_at":"2021-09-30T09:25:17.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1713,"fairsharing_record_id":2126,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:17.666Z","updated_at":"2021-09-30T09:25:17.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9741,"fairsharing_record_id":2126,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T10:05:29.732Z","updated_at":"2022-08-02T10:05:29.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":10013,"fairsharing_record_id":2126,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.788Z","updated_at":"2022-10-13T09:43:38.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8732,"fairsharing_record_id":2126,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-20T09:45:58.092Z","updated_at":"2022-01-20T09:45:58.092Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11582,"fairsharing_record_id":2126,"organisation_id":2300,"relation":"maintains","created_at":"2024-03-21T13:59:09.977Z","updated_at":"2024-03-21T13:59:09.977Z","grant_id":null,"is_lead":true,"saved_state":{"id":2300,"name":"PDBe Team, European Bioinformatics Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbllCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--18021442ee90695572715042ff5364d65b2a27a0/EMBD_logo_2017_light_background.png?disposition=inline","exhaustive_licences":false}},{"id":"2127","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:07.336Z","metadata":{"doi":"10.25504/FAIRsharing.t19hpa","name":"Integrated Taxonomic Information System","status":"ready","contacts":[{"contact_name":"Gerald Guala","contact_email":"itiswebmaster@itis.gov","contact_orcid":"0000-0002-4972-3782"}],"homepage":"https://www.itis.gov/","citations":[],"identifier":2127,"description":"The Integrated Taxonomic Information System (ITIS) provides taxonomic information on plants, animals, fungi, and microbes of North America and the world. The goal is to create an easily accessible database with reliable information on species names and their hierarchical classification. The database will be reviewed periodically to ensure high quality with valid classifications, revisions, and additions of newly described species. The ITIS includes documented taxonomic information of flora and fauna from both aquatic and terrestrial habitats.","abbreviation":"ITIS","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.itis.gov/pdf/faq_itis_tsn.pdf","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011213","name":"re3data:r3d100011213","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.itis.gov/contribute.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000597","bsg-d000597"],"name":"FAIRsharing record for: Integrated Taxonomic Information System","abbreviation":"ITIS","url":"https://fairsharing.org/10.25504/FAIRsharing.t19hpa","doi":"10.25504/FAIRsharing.t19hpa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Taxonomic Information System (ITIS) provides taxonomic information on plants, animals, fungi, and microbes of North America and the world. The goal is to create an easily accessible database with reliable information on species names and their hierarchical classification. The database will be reviewed periodically to ensure high quality with valid classifications, revisions, and additions of newly described species. The ITIS includes documented taxonomic information of flora and fauna from both aquatic and terrestrial habitats.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10974}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Taxonomy","Biodiversity","Life Science"],"domains":["Taxonomic classification","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Mexico","United States"],"publications":[],"licence_links":[{"licence_name":"ITIS Privacy Statement and Disclaimer","licence_id":462,"licence_url":"https://www.itis.gov/privacy.html","link_id":2415,"relation":"undefined"}],"grants":[{"id":1715,"fairsharing_record_id":2127,"organisation_id":2950,"relation":"maintains","created_at":"2021-09-30T09:25:17.799Z","updated_at":"2021-09-30T09:25:17.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":2950,"name":"United States Environmental Protection Agency","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1718,"fairsharing_record_id":2127,"organisation_id":2951,"relation":"maintains","created_at":"2021-09-30T09:25:17.917Z","updated_at":"2021-09-30T09:25:17.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":2951,"name":"United States Fish and Wildlife Service","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1721,"fairsharing_record_id":2127,"organisation_id":2060,"relation":"maintains","created_at":"2021-09-30T09:25:18.041Z","updated_at":"2021-09-30T09:25:18.041Z","grant_id":null,"is_lead":false,"saved_state":{"id":2060,"name":"National Park Service, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1714,"fairsharing_record_id":2127,"organisation_id":2939,"relation":"maintains","created_at":"2021-09-30T09:25:17.759Z","updated_at":"2021-09-30T09:25:17.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1716,"fairsharing_record_id":2127,"organisation_id":2953,"relation":"maintains","created_at":"2021-09-30T09:25:17.843Z","updated_at":"2021-09-30T09:25:17.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":2953,"name":"United States Geological Survey (USGS)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1717,"fairsharing_record_id":2127,"organisation_id":2579,"relation":"maintains","created_at":"2021-09-30T09:25:17.880Z","updated_at":"2021-09-30T09:25:17.880Z","grant_id":null,"is_lead":false,"saved_state":{"id":2579,"name":"Smithsonian National Museum of Natural History, Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1719,"fairsharing_record_id":2127,"organisation_id":43,"relation":"maintains","created_at":"2021-09-30T09:25:17.959Z","updated_at":"2021-09-30T09:25:17.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":43,"name":"Agriculture and Agri-Food Canada, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1720,"fairsharing_record_id":2127,"organisation_id":2103,"relation":"maintains","created_at":"2021-09-30T09:25:18.001Z","updated_at":"2021-09-30T09:25:18.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":2103,"name":"NatureServe, Arlington, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1722,"fairsharing_record_id":2127,"organisation_id":596,"relation":"maintains","created_at":"2021-09-30T09:25:18.084Z","updated_at":"2021-09-30T09:25:18.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":596,"name":"Conabio, Mexico City, Mexico","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1723,"fairsharing_record_id":2127,"organisation_id":2056,"relation":"funds","created_at":"2021-09-30T09:25:18.122Z","updated_at":"2021-09-30T09:25:18.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2111","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:06.528Z","metadata":{"doi":"10.25504/FAIRsharing.bdn9br","name":"LipidBank","status":"ready","contacts":[{"contact_name":"Etsuko Yasugi","contact_email":"yasugi@ri.imcj.go.jp"}],"homepage":"http://lipidbank.jp/index.html","citations":[],"identifier":2111,"description":"LipidBank is an open, publicly free database of natural lipids including fatty acids, glycerolipids, sphingolipids, steroids, and various vitamins.","abbreviation":"LipidBank","data_curation":{"type":"manual"},"support_links":[{"url":"metabolome@cb.k.u-tokyo.ac.jp","type":"Support email"},{"url":"http://lipidbank.jp/wiki/Category:LB","type":"Help documentation"},{"url":"http://lipidbank.jp/help/about.html","type":"Help documentation"}],"year_creation":1989,"data_versioning":"no","data_access_condition":{"url":"https://lipidbank.jp/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000581","bsg-d000581"],"name":"FAIRsharing record for: LipidBank","abbreviation":"LipidBank","url":"https://fairsharing.org/10.25504/FAIRsharing.bdn9br","doi":"10.25504/FAIRsharing.bdn9br","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LipidBank is an open, publicly free database of natural lipids including fatty acids, glycerolipids, sphingolipids, steroids, and various vitamins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Lipid","Molecular entity","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":542,"pubmed_id":12058481,"title":"[LIPIDBANK for Web, the newly developed lipid database].","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12058481","authors":"Yasugi E., Watanabe K.,","journal":"Tanpakushitsu Kakusan Koso","doi":null,"created_at":"2021-09-30T08:23:19.184Z","updated_at":"2021-09-30T08:23:19.184Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2441,"relation":"undefined"}],"grants":[{"id":1678,"fairsharing_record_id":2111,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:25:16.333Z","updated_at":"2021-09-30T09:25:16.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2112","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:01.434Z","metadata":{"doi":"10.25504/FAIRsharing.mx5cxe","name":"Bacterial Protein Interaction Database","status":"ready","contacts":[{"contact_name":"John Parkinson","contact_email":"jparkin@sickkids.ca"}],"homepage":"https://www.compsysbio.org/bacteriome/","citations":[],"identifier":2112,"description":"Bacteriome.org is a database integrating physical (protein-protein) and functional interactions within the context of an E. coli knowledgebase.","abbreviation":"Bacteriome.org","data_curation":{"type":"not found"},"support_links":[],"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012726","name":"re3data:r3d100012726","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001934","name":"SciCrunch:RRID:SCR_001934","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000582","bsg-d000582"],"name":"FAIRsharing record for: Bacterial Protein Interaction Database","abbreviation":"Bacteriome.org","url":"https://fairsharing.org/10.25504/FAIRsharing.mx5cxe","doi":"10.25504/FAIRsharing.mx5cxe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bacteriome.org is a database integrating physical (protein-protein) and functional interactions within the context of an E. coli knowledgebase.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Network model","Molecular interaction","Protein"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":544,"pubmed_id":17942431,"title":"Bacteriome.org--an integrated protein interaction database for E. coli.","year":2007,"url":"http://doi.org/10.1093/nar/gkm807","authors":"Su C., Peregrin-Alvarez JM., Butland G., Phanse S., Fong V., Emili A., Parkinson J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm807","created_at":"2021-09-30T08:23:19.387Z","updated_at":"2021-09-30T08:23:19.387Z"}],"licence_links":[],"grants":[{"id":1679,"fairsharing_record_id":2112,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:16.375Z","updated_at":"2021-09-30T09:25:16.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1680,"fairsharing_record_id":2112,"organisation_id":3141,"relation":"maintains","created_at":"2021-09-30T09:25:16.412Z","updated_at":"2021-09-30T09:25:16.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":3141,"name":"University of Toronto, Canada","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2128","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T05:09:35.903Z","metadata":{"doi":"10.25504/FAIRsharing.92dt9d","name":"ProteomeXchange","status":"ready","contacts":[{"contact_name":"Juan Antonio Vizcaino","contact_email":"juan@ebi.ac.uk","contact_orcid":"0000-0002-3905-4335"}],"homepage":"http://www.proteomexchange.org/","citations":[{"doi":"10.1093/nar/gkw936","pubmed_id":27924013,"publication_id":1630}],"identifier":2128,"description":"The ProteomeXchange consortium has been set up to provide a single point of submission of MS proteomics data to the main existing proteomics repositories, and to encourage the data exchange between them for optimal data dissemination.","abbreviation":"ProteomeXchange","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.proteomexchange.org/docs/guidelines_px.pdf","name":"Data Submission Guidelines","type":"Help documentation"},{"url":"http://www.proteomexchange.org/pxcollaborativeagreement.pdf","name":"PX Collaborative Agreement","type":"Help documentation"},{"url":"https://groups.google.com/forum/feed/proteomexchange/msgs/rss_v2_0.xml","name":"RSS Feed","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/pride-and-proteomexchange-webinar","name":"Pride and proteomexchange webinar","type":"TeSS links to training materials"},{"url":"https://twitter.com/ProteomeXchange","name":"@ProteomeXchange","type":"Twitter"},{"url":"https://www.proteomexchange.org/contact/index.html","name":"ProteomeXchange Partner Repository Coordinators","type":"Contact form"},{"url":"https://www.proteomexchange.org/docs/reprocessed_guidelines_px.pdf","name":"Guidelines for Reprocessed datasets","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://proteomecentral.proteomexchange.org/PROXI.php","name":"PROXI Exchange"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010692","name":"re3data:r3d100010692","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004055","name":"SciCrunch:RRID:SCR_004055","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.proteomexchange.org/docs/guidelines_px.pdf","type":"open","notes":"ProteomeXchange supports submission of experiments coming from all proteomics data workflows."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000598","bsg-d000598"],"name":"FAIRsharing record for: ProteomeXchange","abbreviation":"ProteomeXchange","url":"https://fairsharing.org/10.25504/FAIRsharing.92dt9d","doi":"10.25504/FAIRsharing.92dt9d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ProteomeXchange consortium has been set up to provide a single point of submission of MS proteomics data to the main existing proteomics repositories, and to encourage the data exchange between them for optimal data dissemination.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10975},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15067},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16190}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Peptide identification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Japan","United States","European Union"],"publications":[{"id":99,"pubmed_id":24727771,"title":"ProteomeXchange provides globally coordinated proteomics data submission and dissemination.","year":2014,"url":"http://doi.org/10.1038/nbt.2839","authors":"Vizcaíno JA, Deutsch EW, Wang R, et al.","journal":"Nat Biotechnol.","doi":"10.1038/nbt.2839","created_at":"2021-09-30T08:22:31.122Z","updated_at":"2021-09-30T08:22:31.122Z"},{"id":1630,"pubmed_id":27924013,"title":"The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition.","year":2016,"url":"http://doi.org/10.1093/nar/gkw936","authors":"Deutsch EW,Csordas A,Sun Z,Jarnuczak A,Perez-Riverol Y,Ternent T,Campbell DS,Bernal-Llinares M,Okuda S,Kawano S,Moritz RL,Carver JJ,Wang M,Ishihama Y,Bandeira N,Hermjakob H,Vizcaino JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw936","created_at":"2021-09-30T08:25:22.650Z","updated_at":"2021-09-30T11:29:17.127Z"},{"id":3155,"pubmed_id":31686107,"title":"The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics.","year":2020,"url":"https://doi.org/10.1093/nar/gkz984","authors":"Deutsch EW, Bandeira N, Sharma V, Perez-Riverol Y, Carver JJ, Kundu DJ, García-Seisdedos D, Jarnuczak AF, Hewapathirana S, Pullman BS, Wertz J, Sun Z, Kawano S, Okuda S, Watanabe Y, Hermjakob H, MacLean B, MacCoss MJ, Zhu Y, Ishihama Y, Vizcaíno JA","journal":"Nucleic acids research","doi":"10.1093/nar/gkz984","created_at":"2021-12-10T15:20:34.304Z","updated_at":"2021-12-10T15:20:34.304Z"},{"id":4028,"pubmed_id":36370099,"title":"The ProteomeXchange consortium at 10 years: 2023 update","year":2023,"url":"http://dx.doi.org/10.1093/nar/gkac1040","authors":"Deutsch EW, Bandeira N, Perez-Riverol Y, Sharma V, Carver JJ, Mendoza L, Kundu DJ, Wang S, Bandla C, Kamatchinathan S, Hewapathirana S, Pullman BS, Wertz J, Sun Z, Kawano S, Okuda S, Watanabe Y, MacLean B, MacCoss MJ, Zhu Y, Ishihama Y, Vizcaíno JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1040","created_at":"2023-10-23T13:55:17.572Z","updated_at":"2023-10-23T13:55:17.572Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3381,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3380,"relation":"applies_to_content"},{"licence_name":"EBI Privacy Policy","licence_id":258,"licence_url":"http://www.ebi.ac.uk/about/privacy","link_id":2417,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2418,"relation":"undefined"},{"licence_name":"iProX Data Licence","licence_id":452,"licence_url":"https://www.iprox.org/page/iproxDataLisence.html","link_id":3382,"relation":"applies_to_content"}],"grants":[{"id":1730,"fairsharing_record_id":2128,"organisation_id":2899,"relation":"funds","created_at":"2021-09-30T09:25:18.443Z","updated_at":"2021-09-30T09:29:26.170Z","grant_id":249,"is_lead":false,"saved_state":{"id":2899,"name":"UK-Japan collaboration","grant":"BB/N022440/1","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1729,"fairsharing_record_id":2128,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:18.400Z","updated_at":"2021-09-30T09:31:07.309Z","grant_id":1026,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT101477MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1724,"fairsharing_record_id":2128,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:25:18.159Z","updated_at":"2021-09-30T09:25:18.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1726,"fairsharing_record_id":2128,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:18.306Z","updated_at":"2021-09-30T09:25:18.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1727,"fairsharing_record_id":2128,"organisation_id":1968,"relation":"maintains","created_at":"2021-09-30T09:25:18.337Z","updated_at":"2021-09-30T09:25:18.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":1968,"name":"National Center for Protein Sciences, Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1734,"fairsharing_record_id":2128,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:25:18.660Z","updated_at":"2021-09-30T09:25:18.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1733,"fairsharing_record_id":2128,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:18.566Z","updated_at":"2021-09-30T09:30:31.538Z","grant_id":747,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K01997X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1725,"fairsharing_record_id":2128,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:18.252Z","updated_at":"2021-09-30T09:31:29.529Z","grant_id":1194,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"2P50 GM076547/Center for Systems Biology","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8249,"fairsharing_record_id":2128,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:31:44.458Z","updated_at":"2021-09-30T09:31:44.511Z","grant_id":1306,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01GM087221","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1732,"fairsharing_record_id":2128,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:18.530Z","updated_at":"2021-09-30T09:25:18.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1731,"fairsharing_record_id":2128,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:18.493Z","updated_at":"2021-09-30T09:30:06.310Z","grant_id":553,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"U54EB020406","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8304,"fairsharing_record_id":2128,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:00.469Z","updated_at":"2021-09-30T09:32:00.556Z","grant_id":1426,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024225/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1728,"fairsharing_record_id":2128,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:18.362Z","updated_at":"2022-01-17T08:44:29.005Z","grant_id":1578,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"'ProteomeXchange' grant 260558","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8284,"fairsharing_record_id":2128,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:54.352Z","updated_at":"2021-09-30T09:31:54.439Z","grant_id":1380,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I00095X/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2125","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:36:05.869Z","metadata":{"doi":"10.25504/FAIRsharing.rcbwsf","name":"Giga Science Database","status":"ready","contacts":[{"contact_name":"Database Admin","contact_email":"database@gigasciencejournal.com"}],"homepage":"http://gigadb.org/","citations":[],"identifier":2125,"description":"GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience; however, it also includes a subset of datasets that are not associated with GigaScience articles. GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study.","abbreviation":"GigaDB","data_curation":{"url":"http://gigadb.org/site/faq","type":"manual/automated"},"support_links":[{"url":"http://gigadb.org/site/contact","type":"Contact form"},{"url":"http://gigadb.org/site/term","type":"Help documentation"},{"url":"http://gigadb.org/rss/latest","type":"Blog/News"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://galaxy.cbiit.cuhk.edu.hk/","name":"GigaGalaxy"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010478","name":"re3data:r3d100010478","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004002","name":"SciCrunch:RRID:SCR_004002","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.alibabacloud.com/help/en/","name":"More information"},"data_deposition_condition":{"url":"http://gigadb.org/site/guide","type":"controlled","notes":"Only data related to GigaScience articles can be entered, but they are currently working to scale this out with other publishers."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000595","bsg-d000595"],"name":"FAIRsharing record for: Giga Science Database","abbreviation":"GigaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rcbwsf","doi":"10.25504/FAIRsharing.rcbwsf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience; however, it also includes a subset of datasets that are not associated with GigaScience articles. GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10972},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11534},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12695}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Genetics","Proteomics","Computational Biology","Life Science"],"domains":["Expression data","Imaging","Sequencing","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hong Kong"],"publications":[{"id":565,"pubmed_id":23587345,"title":"GigaDB: announcing the GigaScience database","year":2012,"url":"http://doi.org/10.1186/2047-217X-1-11","authors":"Tam P Sneddon, Peter Li and Scott C Edmunds","journal":"GigaScience","doi":"10.1186/2047-217X-1-11","created_at":"2021-09-30T08:23:21.783Z","updated_at":"2021-09-30T08:23:21.783Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3496,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3497,"relation":"applies_to_content"},{"licence_name":"GigaDB Terms of Use","licence_id":344,"licence_url":"http://gigadb.org/site/term","link_id":1651,"relation":"undefined"}],"grants":[{"id":1709,"fairsharing_record_id":2125,"organisation_id":509,"relation":"funds","created_at":"2021-09-30T09:25:17.530Z","updated_at":"2021-09-30T09:25:17.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":509,"name":"China National GeneBank, Shenzhen, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1708,"fairsharing_record_id":2125,"organisation_id":1154,"relation":"maintains","created_at":"2021-09-30T09:25:17.491Z","updated_at":"2021-09-30T09:25:17.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":1154,"name":"GigaScience/BGI HK Ltd","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbTREIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--5d5441680b4ae96bd5f55e15a8900ea038f8d187/GigaDB_logo_transparent.png?disposition=inline","exhaustive_licences":false}},{"id":"2207","type":"fairsharing_records","attributes":{"created_at":"2015-05-20T12:05:09.000Z","updated_at":"2024-03-21T13:59:13.966Z","metadata":{"doi":"10.25504/FAIRsharing.mckkb4","name":"Worldwide Protein Data Bank","status":"ready","contacts":[{"contact_email":"info@wwpdb.org"}],"homepage":"http://www.wwpdb.org","citations":[{"doi":"10.1038/nsb1203-980","pubmed_id":14634627,"publication_id":258}],"identifier":2207,"description":"The Worldwide PDB (wwPDB) organization manages the PDB archive and ensures that the PDB is freely and publicly available to the global community. The mission of the wwPDB is to maintain a single Protein Data Bank Archive of macromolecular structural data that is freely and publicly available to the global community. The wwPDB is composed of the RCSB PDB, PDBe, PDBj, BMRB, and EMDB.","abbreviation":"wwPDB","data_curation":{"url":"http://www.wwpdb.org/documentation/procedure","type":"manual/automated"},"support_links":[{"url":"http://www.wwpdb.org/about/contact","name":"Contact Details","type":"Contact form"},{"url":"http://www.wwpdb.org/deposition/faq","name":"Deposition FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.wwpdb.org/about/faq","name":"General FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.wwpdb.org/documentation/file-format","name":"File Format Docs","type":"Help documentation"},{"url":"http://www.wwpdb.org/stats/download","name":"Download Statistics","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/a-critical-guide-to-the-pdb","name":"A Critical Guide to the PDB","type":"TeSS links to training materials"},{"url":"http://www.wwpdb.org/deposition/tutorial","name":"Deposition Tour","type":"Training documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"https://validate.wwpdb.org","name":"wwPDB Validation Service"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011104","name":"re3data:r3d100011104","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006555","name":"SciCrunch:RRID:SCR_006555","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.wwpdb.org/about/usage-policies","type":"open"},"resource_sustainability":{"url":"http://www.wwpdb.org/about/faq","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.wwpdb.org/documentation/policy","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000681","bsg-d000681"],"name":"FAIRsharing record for: Worldwide Protein Data Bank","abbreviation":"wwPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.mckkb4","doi":"10.25504/FAIRsharing.mckkb4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Worldwide PDB (wwPDB) organization manages the PDB archive and ensures that the PDB is freely and publicly available to the global community. The mission of the wwPDB is to maintain a single Protein Data Bank Archive of macromolecular structural data that is freely and publicly available to the global community. The wwPDB is composed of the RCSB PDB, PDBe, PDBj, BMRB, and EMDB.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10991},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12718},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16191}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Protein structure","Deoxyribonucleic acid","Ribonucleic acid","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States"],"publications":[{"id":258,"pubmed_id":14634627,"title":"Announcing the worldwide Protein Data Bank.","year":2003,"url":"http://doi.org/10.1038/nsb1203-980","authors":"Berman H., Henrick K., Nakamura H.,","journal":"Nat. Struct. Biol.","doi":"10.1038/nsb1203-980","created_at":"2021-09-30T08:22:47.891Z","updated_at":"2021-09-30T08:22:47.891Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2779,"relation":"applies_to_content"}],"grants":[{"id":1978,"fairsharing_record_id":2207,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:27.360Z","updated_at":"2021-09-30T09:25:27.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1984,"fairsharing_record_id":2207,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:27.632Z","updated_at":"2021-09-30T09:25:27.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1980,"fairsharing_record_id":2207,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:25:27.506Z","updated_at":"2021-09-30T09:25:27.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1982,"fairsharing_record_id":2207,"organisation_id":2301,"relation":"associated_with","created_at":"2021-09-30T09:25:27.560Z","updated_at":"2022-08-02T08:43:10.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":2301,"name":"PDBj","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1983,"fairsharing_record_id":2207,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:25:27.590Z","updated_at":"2021-09-30T09:25:27.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1985,"fairsharing_record_id":2207,"organisation_id":3263,"relation":"maintains","created_at":"2021-09-30T09:25:27.670Z","updated_at":"2022-08-02T08:43:15.110Z","grant_id":null,"is_lead":true,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":1986,"fairsharing_record_id":2207,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:27.707Z","updated_at":"2021-09-30T09:25:27.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1987,"fairsharing_record_id":2207,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:27.749Z","updated_at":"2021-09-30T09:25:27.749Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1981,"fairsharing_record_id":2207,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:25:27.536Z","updated_at":"2021-09-30T09:25:27.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1988,"fairsharing_record_id":2207,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:27.791Z","updated_at":"2021-09-30T09:25:27.791Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1977,"fairsharing_record_id":2207,"organisation_id":2300,"relation":"associated_with","created_at":"2021-09-30T09:25:27.327Z","updated_at":"2022-08-02T08:43:10.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":2300,"name":"PDBe","types":["Undefined"],"is_lead":false,"relation":"associated_with"}},{"id":9738,"fairsharing_record_id":2207,"organisation_id":836,"relation":"associated_with","created_at":"2022-08-02T08:43:10.767Z","updated_at":"2022-08-02T08:43:10.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":836,"name":"Electron Microscopy Data Bank Team, European Bioinformatics Institute","types":["Lab"],"is_lead":false,"relation":"associated_with"}},{"id":1989,"fairsharing_record_id":2207,"organisation_id":2423,"relation":"associated_with","created_at":"2021-09-30T09:25:27.828Z","updated_at":"2022-08-02T08:43:11.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":2423,"name":"Research Collaboratory for Structural Bioinformatics","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1991,"fairsharing_record_id":2207,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:27.949Z","updated_at":"2021-09-30T09:25:27.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9737,"fairsharing_record_id":2207,"organisation_id":2300,"relation":"associated_with","created_at":"2022-08-02T08:43:10.705Z","updated_at":"2022-08-02T08:43:10.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":2300,"name":"PDBe","types":["Undefined"],"is_lead":false,"relation":"associated_with"}},{"id":1979,"fairsharing_record_id":2207,"organisation_id":257,"relation":"associated_with","created_at":"2021-09-30T09:25:27.457Z","updated_at":"2022-08-02T08:43:10.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":257,"name":"Biological Magnetic Resonance Data Bank (BMRB)","types":["Lab"],"is_lead":false,"relation":"associated_with"}},{"id":11584,"fairsharing_record_id":2207,"organisation_id":3263,"relation":"funds","created_at":"2024-03-21T13:59:13.247Z","updated_at":"2024-03-21T13:59:13.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"Worldwide Protein Data Bank Foundation","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbklCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--29e5e2ef3b26da59c0587318fa3499a04518d323/wwpdb-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2208","type":"fairsharing_records","attributes":{"created_at":"2015-06-03T12:50:29.000Z","updated_at":"2024-04-29T09:56:05.717Z","metadata":{"doi":"10.25504/FAIRsharing.j45zag","name":"H-Invitational Database","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"hinvdb@ml.tokai-u.jp"}],"homepage":"http://www.h-invitational.jp/hinv/ahg-db/index.jsp","citations":[],"identifier":2208,"description":"H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing variants, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, and molecular evolutionary features , protein-protein interactions (PPIs) and gene families/groups.","abbreviation":"H-InvDB","data_curation":{"url":"http://www.h-invitational.jp/hinv/ahg-db/index.jsp","type":"manual","notes":"Curated annotations of human genes and transcripts"},"support_links":[{"url":"http://h-invitational.jp/hinv/ahg-db/contact.jsp","type":"Contact form"},{"url":"http://www.h-invitational.jp/hinv/ahg-db/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.h-invitational.jp/hinv/help/help_index.html","type":"Help documentation"},{"url":"http://www.h-invitational.jp/hinv/hws/doc/index.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"http://www.h-invitational.jp/hinv/blast/blasttop.cgi","name":"BLAST"}],"deprecation_date":"2024-04-29","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000682","bsg-d000682"],"name":"FAIRsharing record for: H-Invitational Database","abbreviation":"H-InvDB","url":"https://fairsharing.org/10.25504/FAIRsharing.j45zag","doi":"10.25504/FAIRsharing.j45zag","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing variants, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, and molecular evolutionary features , protein-protein interactions (PPIs) and gene families/groups.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12719}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Functional domain","Protein structure","Expression data","Protein interaction","Function analysis","Alternative splicing","Cellular localization","Genetic polymorphism","Non-coding RNA"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":319,"pubmed_id":18089548,"title":"The H-Invitational Database (H-InvDB), a comprehensive annotation resource for human genes and transcripts.","year":2007,"url":"http://doi.org/10.1093/nar/gkm999","authors":"Yamasaki C,Murakami K,Fujii Y,Sato Y,Harada E,Takeda J,Taniya T,Sakate R,Kikugawa S,Shimada M,Tanino M,Koyanagi KO,Barrero RA,Gough C,Chun HW,Habara T,Hanaoka H,Hayakawa Y,Hilton PB,Kaneko Y,Kanno M,Kawahara Y,Kawamura T,Matsuya A,Nagata N,Nishikata K,Noda AO,Nurimoto S,Saichi N,Sakai H,Sanbonmatsu R,Shiba R,Suzuki M,Takabayashi K,Takahashi A,Tamura T,Tanaka M,Tanaka S,Todokoro F,Yamaguchi K,Yamamoto N,Okido T,Mashima J,Hashizume A,Jin L,Lee KB,Lin YC,Nozaki A,Sakai K,Tada M,Miyazaki S,Makino T,Ohyanagi H,Osato N,Tanaka N,Suzuki Y,Ikeo K,Saitou N,Sugawara H,O'Donovan C,Kulikova T,Whitfield E,Halligan B,Shimoyama M,Twigger S,Yura K,Kimura K,Yasuda T,Nishikawa T,Akiyama Y,Motono C,Mukai Y,Nagasaki H,Suwa M,Horton P,Kikuno R,Ohara O,Lancet D,Eveno E,Graudens E,Imbeaud S,Debily MA,Hayashizaki Y,Amid C,Han M,Osanger A,Endo T,Thomas MA,Hirakawa M,Makalowski W,Nakao M,Kim NS,Yoo HS,De Souza SJ,Bonaldo Mde F,Niimura Y,Kuryshev V,Schupp I,Wiemann S,Bellgard M,Shionyu M,Jia L,Thierry-Mieg D,Thierry-Mieg J,Wagner L,Zhang Q,Go M,Minoshima S,Ohtsubo M,Hanada K,Tonellato P,Isogai T,Zhang J,Lenhard B,Kim S,Chen Z,Hinz U,Estreicher A,Nakai K,Makalowska I,Hide W,Tiffin N,Wilming L,Chakraborty R,Soares MB,Chiusano ML,Suzuki Y,Auffray C,Yamaguchi-Kabata Y,Itoh T,Hishiki T,Fukuchi S,Nishikawa K,Sugano S,Nomura N,Tateno Y,Imanishi T,Gojobori T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm999","created_at":"2021-09-30T08:22:54.264Z","updated_at":"2021-09-30T11:28:45.109Z"},{"id":1063,"pubmed_id":15103394,"title":"Integrative annotation of 21,037 human genes validated by full-length cDNA clones.","year":2004,"url":"http://doi.org/10.1371/journal.pbio.0020162","authors":"Imanishi T,Itoh T,Suzuki Y,O'Donovan C,Fukuchi S,Koyanagi KO,Barrero RA,Tamura T,Yamaguchi-Kabata Y,Tanino M,Yura K,Miyazaki S,Ikeo K,Homma K,Kasprzyk A,Nishikawa T,Hirakawa M,Thierry-Mieg J,Thierry-Mieg D,Ashurst J,Jia L,Nakao M,Thomas MA,Mulder N,Karavidopoulou Y,Jin L,Kim S,Yasuda T,Lenhard B,Eveno E,Suzuki Y,Yamasaki C,Takeda J,Gough C,Hilton P,Fujii Y,Sakai H,Tanaka S,Amid C,Bellgard M,Bonaldo Mde F,Bono H,Bromberg SK,Brookes AJ,Bruford E,Carninci P,Chelala C,Couillault C,de Souza SJ,Debily MA,Devignes MD,Dubchak I,Endo T,Estreicher A,Eyras E,Fukami-Kobayashi K,Gopinath GR,Graudens E,Hahn Y,Han M,Han ZG,Hanada K,Hanaoka H,Harada E,Hashimoto K,Hinz U,Hirai M,Hishiki T,Hopkinson I,Imbeaud S,Inoko H,Kanapin A,Kaneko Y,Kasukawa T,Kelso J,Kersey P,Kikuno R,Kimura K,Korn B,Kuryshev V,Makalowska I,Makino T,Mano S,Mariage-Samson R,Mashima J,Matsuda H,Mewes HW,Minoshima S,Nagai K,Nagasaki H,Nagata N,Nigam R,Ogasawara O,Ohara O,Ohtsubo M,Okada N,Okido T,Oota S,Ota M,Ota T,Otsuki T,Piatier-Tonneau D,Poustka A,Ren SX,Saitou N,Sakai K,Sakamoto S,Sakate R,Schupp I,Servant F,Sherry S,Shiba R,Shimizu N,Shimoyama M,Simpson AJ,Soares B,Steward C,Suwa M,Suzuki M,Takahashi A,Tamiya G,Tanaka H,Taylor T,Terwilliger JD,Unneberg P,Veeramachaneni V,Watanabe S,Wilming L,Yasuda N,Yoo HS,Stodolsky M,Makalowski W,Go M,Nakai K,Takagi T,Kanehisa M,Sakaki Y,Quackenbush J,Okazaki Y,Hayashizaki Y,Hide W,Chakraborty R,Nishikawa K,Sugawara H,Tateno Y,Chen Z,Oishi M,Tonellato P,Apweiler R,Okubo K,Wagner L,Wiemann S,Strausberg RL,Isogai T,Auffray C,Nomura N,Gojobori T,Sugano S","journal":"PLoS Biol","doi":"10.1371/journal.pbio.0020162","created_at":"2021-09-30T08:24:17.763Z","updated_at":"2021-09-30T08:24:17.763Z"},{"id":1064,"pubmed_id":23197657,"title":"H-InvDB in 2013: an omics study platform for human functional gene and transcript discovery.","year":2012,"url":"http://doi.org/10.1093/nar/gks1245","authors":"Takeda J,Yamasaki C,Murakami K,Nagai Y,Sera M,Hara Y,Obi N,Habara T,Gojobori T,Imanishi T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1245","created_at":"2021-09-30T08:24:17.872Z","updated_at":"2021-09-30T11:28:57.692Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 2.1 Japan (CC BY-SA 2.1 JP)","licence_id":189,"licence_url":"https://creativecommons.org/licenses/by-sa/2.1/jp/deed.en_US","link_id":868,"relation":"undefined"}],"grants":[{"id":1994,"fairsharing_record_id":2208,"organisation_id":2864,"relation":"maintains","created_at":"2021-09-30T09:25:28.043Z","updated_at":"2021-09-30T09:25:28.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":2864,"name":"Tokai University School of Medicine, Japan","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1992,"fairsharing_record_id":2208,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:25:27.988Z","updated_at":"2021-09-30T09:25:27.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1993,"fairsharing_record_id":2208,"organisation_id":2007,"relation":"funds","created_at":"2021-09-30T09:25:28.019Z","updated_at":"2021-09-30T09:25:28.019Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1995,"fairsharing_record_id":2208,"organisation_id":1859,"relation":"funds","created_at":"2021-09-30T09:25:28.067Z","updated_at":"2021-09-30T09:25:28.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":1859,"name":"Ministry of Economy Trade and Industry (METI), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2201","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T19:33:25.000Z","updated_at":"2023-12-15T10:32:14.411Z","metadata":{"doi":"10.25504/FAIRsharing.1mapgk","name":"NIDDK Information Network","status":"ready","contacts":[{"contact_name":"General contact email","contact_email":"info@dknet.org"}],"homepage":"http://www.dknet.org","identifier":2201,"description":"The NIDDK Information Network provides access to large pools of data relevant to the mission of NIDDK. The dkNET portal contains information about research resources such as antibodies, vectors and mouse strains, data, protocols, and literature.","abbreviation":"dkNET","data_curation":{"url":"https://dknet.org/rin/rrids","type":"automated"},"support_links":[{"url":"https://dknet.org/about/blog","name":"dkNET Blog","type":"Blog/News"},{"url":"https://dknet.org/about/help","name":"Help Pages","type":"Help documentation"},{"url":"https://dknet.org/page/scicrunch","name":"SciCrunch and dkNET","type":"Help documentation"},{"url":"https://twitter.com/dkNET_Info","name":"@dkNET_Info","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012845","name":"re3data:r3d100012845","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001606","name":"SciCrunch:RRID:SCR_001606","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dknet.org/about/resource?form=Resource\u0026rel=1\u0026resource_suggestion","type":"not applicable","notes":"Data cannot be directly submitted, but software or database links can be added in dkNET Tool Resource Report, using \"suggest a resource\" via SciCrunch Registry."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000675","bsg-d000675"],"name":"FAIRsharing record for: NIDDK Information Network","abbreviation":"dkNET","url":"https://fairsharing.org/10.25504/FAIRsharing.1mapgk","doi":"10.25504/FAIRsharing.1mapgk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NIDDK Information Network provides access to large pools of data relevant to the mission of NIDDK. The dkNET portal contains information about research resources such as antibodies, vectors and mouse strains, data, protocols, and literature.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10809},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11115},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12716}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science"],"domains":["Expression data","Model organism","Publication","Nuclear receptor","Receptor","Literature curation"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1234,"pubmed_id":26978244,"title":"The FAIR Guiding Principles for scientific data management and stewardship.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.18","authors":"Wilkinson MD,Dumontier M,Aalbersberg IJ,Appleton G,Axton M,Baak A,Blomberg N,Boiten JW,da Silva Santos LB,Bourne PE,Bouwman J,Brookes AJ,Clark T,Crosas M,Dillo I,Dumon O,Edmunds S,Evelo CT,Finkers R,Gonzalez-Beltran A,Gray AJ,Groth P,Goble C,Grethe JS,Heringa J,'t Hoen PA,Hooft R,Kuhn T,Kok R,Kok J,Lusher SJ,Martone ME,Mons A,Packer AL,Persson B,Rocca-Serra P,Roos M,van Schaik R,Sansone SA,Schultes E,Sengstag T,Slater T,Strawn G,Swertz MA,Thompson M,van der Lei J,van Mulligen E,Velterop J,Waagmeester A,Wittenburg P,Wolstencroft K,Zhao J,Mons B","journal":"Sci Data","doi":"10.1038/sdata.2016.18","created_at":"2021-09-30T08:24:37.674Z","updated_at":"2021-09-30T08:24:37.674Z"},{"id":1235,"pubmed_id":26730820,"title":"Resource Disambiguator for the Web: Extracting Biomedical Resources and Their Citations from the Scientific Literature.","year":2016,"url":"http://doi.org/10.1371/journal.pone.0146300","authors":"Ozyurt IB,Grethe JS,Martone ME,Bandrowski AE","journal":"PLoS One","doi":"10.1371/journal.pone.0146300","created_at":"2021-09-30T08:24:37.783Z","updated_at":"2021-09-30T08:24:37.783Z"},{"id":2626,"pubmed_id":26393351,"title":"The NIDDK Information Network: A Community Portal for Finding Data, Materials, and Tools for Researchers Studying Diabetes, Digestive, and Kidney Diseases.","year":2015,"url":"http://doi.org/10.1371/journal.pone.0136206","authors":"Whetzel PL,Grethe JS,Banks DE,Martone ME","journal":"PLoS One","doi":"10.1371/journal.pone.0136206","created_at":"2021-09-30T08:27:22.428Z","updated_at":"2021-09-30T08:27:22.428Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1712,"relation":"undefined"},{"licence_name":"dkNET - SciCrunch Privacy Policy","licence_id":247,"licence_url":"https://dknet.org/page/privacy","link_id":1711,"relation":"undefined"}],"grants":[{"id":1963,"fairsharing_record_id":2201,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:26.696Z","updated_at":"2021-09-30T09:25:26.696Z","grant_id":null,"is_lead":true,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1964,"fairsharing_record_id":2201,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:25:26.727Z","updated_at":"2021-09-30T09:29:05.535Z","grant_id":89,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"U24DK097771","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2202","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T19:59:03.000Z","updated_at":"2023-12-15T10:32:29.676Z","metadata":{"doi":"10.25504/FAIRsharing.ejeqy","name":"Human Connectome Project","status":"ready","homepage":"http://www.humanconnectome.org","identifier":2202,"description":"The Human Connectome Project (HCP) houses and distributes public connectome study data for a series of studies that focus on the connections within the human brain.","abbreviation":"HCP","data_curation":{"type":"none"},"support_links":[{"url":"https://www.humanconnectome.org/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://www.humanconnectome.org/tutorials","name":"Tutorials","type":"Help documentation"},{"url":"https://groups.google.com/a/humanconnectome.org/d/forum/hcp-announce","name":"HCP Announce","type":"Mailing list"},{"url":"https://wiki.humanconnectome.org/","name":"HCP Wiki","type":"Help documentation"},{"url":"https://www.humanconnectome.org/about-ccf","name":"CCF Overview","type":"Help documentation"},{"url":"https://twitter.com/HumanConnectome","name":"@HumanConnectome","type":"Twitter"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"https://www.humanconnectome.org/software/connectome-workbench","name":"Connectome Workbench 1.0"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000676","bsg-d000676"],"name":"FAIRsharing record for: Human Connectome Project","abbreviation":"HCP","url":"https://fairsharing.org/10.25504/FAIRsharing.ejeqy","doi":"10.25504/FAIRsharing.ejeqy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Connectome Project (HCP) houses and distributes public connectome study data for a series of studies that focus on the connections within the human brain.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11116}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Brain","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["Germany","Italy","Netherlands","United Kingdom","United States"],"publications":[{"id":2233,"pubmed_id":21743807,"title":"Informatics and data mining tools and strategies for the human connectome project","year":2011,"url":"http://doi.org/10.3389/fninf.2011.00004","authors":"Marcus DS, Harwell J, Olsen T, Hodge M, Glasser MF, Prior F, Jenkinson M, Laumann T, Curtiss SW, Van Essen DC","journal":"Front Neuroinform","doi":"10.3389/fninf.2011.00004","created_at":"2021-09-30T08:26:31.642Z","updated_at":"2021-09-30T08:26:31.642Z"},{"id":2677,"pubmed_id":22366334,"title":"The Human Connectome Project: a data acquisition perspective.","year":2012,"url":"http://doi.org/10.1016/j.neuroimage.2012.02.018","authors":"Van Essen DC, Ugurbil K, Auerbach E, Barch D, Behrens TE, et al.","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2012.02.018","created_at":"2021-09-30T08:27:28.693Z","updated_at":"2021-09-30T08:27:28.693Z"},{"id":2678,"pubmed_id":25934470,"title":"ConnectomeDB - Sharing human brain connectivity data","year":2015,"url":"http://doi.org/S1053-8119(15)00346-8","authors":"Hodge MR, Horton W, Brown T, Herrick R, Olsen T, Hileman ME, McKay M, Archie KA, Cler E, Harms MP, Burgess GC, Glasser MF, Elam JS, Curtiss SW, Barch DM, Oostenveld R, Larson-Prior LJ, Ugurbil K, Van Essen DC, Marcus DS","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2015.04.046","created_at":"2021-09-30T08:27:28.863Z","updated_at":"2021-09-30T08:27:28.863Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2141,"relation":"undefined"},{"licence_name":"HCP Data Use Terms","licence_id":382,"licence_url":"https://www.humanconnectome.org/study/hcp-young-adult/data-use-terms","link_id":2142,"relation":"undefined"}],"grants":[{"id":1967,"fairsharing_record_id":2202,"organisation_id":3097,"relation":"maintains","created_at":"2021-09-30T09:25:26.804Z","updated_at":"2021-09-30T09:25:26.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":3097,"name":"University of Minnesota, Minneapolis, MN 55455, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1970,"fairsharing_record_id":2202,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:27.107Z","updated_at":"2021-09-30T09:25:27.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1965,"fairsharing_record_id":2202,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:26.751Z","updated_at":"2021-09-30T09:30:30.462Z","grant_id":740,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1U54MH091657-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1966,"fairsharing_record_id":2202,"organisation_id":3221,"relation":"maintains","created_at":"2021-09-30T09:25:26.776Z","updated_at":"2021-09-30T09:25:26.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":3221,"name":"Washington University in St Louis, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1968,"fairsharing_record_id":2202,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:25:27.014Z","updated_at":"2021-09-30T09:25:27.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1969,"fairsharing_record_id":2202,"organisation_id":2398,"relation":"maintains","created_at":"2021-09-30T09:25:27.066Z","updated_at":"2021-09-30T09:25:27.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":2398,"name":"Radboud University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2203","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T20:24:45.000Z","updated_at":"2024-04-29T08:41:34.848Z","metadata":{"doi":"10.25504/FAIRsharing.tamp4p","name":"Parkinson's Progression Markers Initiative","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"webmaster@loni.usc.edu"}],"homepage":"http://www.ppmi-info.org","identifier":2203,"description":"PPMI is an observational clinical study to verify progression markers in Parkinson’s disease. The study is designed to establish a comprehensive set of clinical, imaging and biosample data that will be used to define biomarkers of PD progression. Once these biomarkers are defined, they can be used in therapeutic studies. The clinical, imaging and biologic data are accessible to researchers in real time through the website.","abbreviation":"PPMI","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ppmi-info.org/contact-us/","type":"Contact form"},{"url":"http://www.ppmi-info.org/access-data-specimens/data-faq/","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","data_access_condition":{"url":"https://www.ppmi-info.org/access-data-specimens/download-data","type":"controlled"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000677","bsg-d000677"],"name":"FAIRsharing record for: Parkinson's Progression Markers Initiative","abbreviation":"PPMI","url":"https://fairsharing.org/10.25504/FAIRsharing.tamp4p","doi":"10.25504/FAIRsharing.tamp4p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PPMI is an observational clinical study to verify progression markers in Parkinson’s disease. The study is designed to establish a comprehensive set of clinical, imaging and biosample data that will be used to define biomarkers of PD progression. Once these biomarkers are defined, they can be used in therapeutic studies. The clinical, imaging and biologic data are accessible to researchers in real time through the website.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11117}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Medical imaging","Biomarker","Parkinson's disease","Imaging","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":11,"pubmed_id":null,"title":"The Parkinson Progression Marker Initiative (PPMI).","year":2011,"url":"http://doi.org/10.1016/j.pneurobio.2011.09.005","authors":"Parkinson Progression Marker Initiative","journal":"Prog Neurobiol.","doi":"10.1016/j.pneurobio.2011.09.005","created_at":"2021-09-30T08:22:21.698Z","updated_at":"2021-09-30T08:22:21.698Z"},{"id":64,"pubmed_id":26268663,"title":"Baseline genetic associations in the Parkinson's Progression Markers Initiative (PPMI).","year":2015,"url":"http://doi.org/10.1002/mds.26374","authors":"Nalls MA,Keller MF,Hernandez DG,Chen L,Stone DJ,Singleton AB","journal":"Mov Disord","doi":"10.1002/mds.26374","created_at":"2021-09-30T08:22:27.190Z","updated_at":"2021-09-30T08:22:27.190Z"}],"licence_links":[{"licence_name":"PPMI Data Use Agreement","licence_id":677,"licence_url":"http://www.ppmi-info.org/documents/ppmi-data-use-agreement.pdf","link_id":866,"relation":"undefined"}],"grants":[{"id":1971,"fairsharing_record_id":2203,"organisation_id":1679,"relation":"maintains","created_at":"2021-09-30T09:25:27.149Z","updated_at":"2021-09-30T09:25:27.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":1679,"name":"Laboratory of Neuro Imaging (LONI), University of Southern California, Los Angeles, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1972,"fairsharing_record_id":2203,"organisation_id":2801,"relation":"funds","created_at":"2021-09-30T09:25:27.186Z","updated_at":"2021-09-30T09:25:27.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":2801,"name":"The Michael J Fox Foundation for Parkinson's Research","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2204","type":"fairsharing_records","attributes":{"created_at":"2015-05-05T15:02:47.000Z","updated_at":"2023-06-23T10:58:15.806Z","metadata":{"doi":"10.25504/FAIRsharing.s5zmbp","name":"Catalogue of Somatic Mutations in Cancer","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"cosmic@sanger.ac.uk"}],"homepage":"http://cancer.sanger.ac.uk","citations":[{"doi":"10.1093/nar/gky1015","pubmed_id":30371878,"publication_id":1822}],"identifier":2204,"description":"The Catalogue of Somatic Mutations in Cancer (COSMIC) is a database of manually-curated somatic mutation information relating to human cancers. The COSMIC database combines manually-curated data and genome-wide screen data.","abbreviation":"COSMIC","data_curation":{"url":"https://cancer.sanger.ac.uk/cosmic/curation","type":"manual","notes":"Data is entered and curated by a professional curation team."},"support_links":[{"url":"https://cosmic-blog.sanger.ac.uk/","name":"COSMIC News","type":"Blog/News"},{"url":"https://cancer.sanger.ac.uk/cosmic/help/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://cancer.sanger.ac.uk/cosmic/help/tutorials","name":"Tutorials","type":"Help documentation"},{"url":"https://cancer.sanger.ac.uk/cosmic/help","name":"Help","type":"Help documentation"},{"url":"https://cancer.sanger.ac.uk/cosmic/register","name":"COSMIC Mailing List","type":"Mailing list"},{"url":"https://cancer.sanger.ac.uk/cosmic/curation","name":"About COSMIC Curation","type":"Help documentation"},{"url":"https://cancer.sanger.ac.uk/cosmic/analyses","name":"Annotation and Analysis Release Pipeline","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://cancer.sanger.ac.uk/cosmic/submissions","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000678","bsg-d000678"],"name":"FAIRsharing record for: Catalogue of Somatic Mutations in Cancer","abbreviation":"COSMIC","url":"https://fairsharing.org/10.25504/FAIRsharing.s5zmbp","doi":"10.25504/FAIRsharing.s5zmbp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Catalogue of Somatic Mutations in Cancer (COSMIC) is a database of manually-curated somatic mutation information relating to human cancers. The COSMIC database combines manually-curated data and genome-wide screen data.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11539}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genetics","Biomedical Science"],"domains":["Genome annotation","Cancer","Somatic mutation","Tumor"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":60,"pubmed_id":25355519,"title":"COSMIC: exploring the world's knowledge of somatic mutations in human cancer.","year":2014,"url":"http://doi.org/10.1093/nar/gku1075","authors":"Forbes SA,Beare D,Gunasekaran P,Leung K,Bindal N,Boutselakis H,Ding M,Bamford S,Cole C,Ward S,Kok CY,Jia M,De T,Teague JW,Stratton MR,McDermott U,Campbell PJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1075","created_at":"2021-09-30T08:22:26.769Z","updated_at":"2021-09-30T11:28:42.033Z"},{"id":66,"pubmed_id":20952405,"title":"COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer.","year":2010,"url":"http://doi.org/10.1093/nar/gkq929","authors":"Forbes SA,Bindal N,Bamford S,Cole C,Kok CY,Beare D,Jia M,Shepherd R,Leung K,Menzies A,Teague JW,Campbell PJ,Stratton MR,Futreal PA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq929","created_at":"2021-09-30T08:22:27.377Z","updated_at":"2021-09-30T11:28:42.276Z"},{"id":1798,"pubmed_id":15188009,"title":"The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website.","year":2004,"url":"http://doi.org/10.1038/sj.bjc.6601894","authors":"Bamford S,Dawson E,Forbes S,Clements J,Pettett R,Dogan A,Flanagan A,Teague J,Futreal PA,Stratton MR,Wooster R","journal":"Br J Cancer","doi":"10.1038/sj.bjc.6601894","created_at":"2021-09-30T08:25:41.863Z","updated_at":"2021-09-30T08:25:41.863Z"},{"id":1822,"pubmed_id":30371878,"title":"COSMIC: the Catalogue Of Somatic Mutations In Cancer.","year":2018,"url":"http://doi.org/10.1093/nar/gky1015","authors":"Tate JG,Bamford S,Jubb HC,Sondka Z,Beare DM,Bindal N,Boutselakis H,Cole CG,Creatore C,Dawson E,Fish P,Harsha B,Hathaway C,Jupe SC,Kok CY,Noble K,Ponting L,Ramshaw CC,Rye CE,Speedy HE,Stefancsik R,Thompson SL,Wang S,Ward S,Campbell PJ,Forbes SA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1015","created_at":"2021-09-30T08:25:44.669Z","updated_at":"2021-09-30T11:29:21.278Z"}],"licence_links":[{"licence_name":"COSMIC Terms of Use and Licence","licence_id":151,"licence_url":"https://cancer.sanger.ac.uk/cosmic/license","link_id":2434,"relation":"undefined"}],"grants":[{"id":1974,"fairsharing_record_id":2204,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:27.243Z","updated_at":"2021-09-30T09:25:27.243Z","grant_id":null,"is_lead":true,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1973,"fairsharing_record_id":2204,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:27.219Z","updated_at":"2021-09-30T09:32:08.536Z","grant_id":1487,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"077012/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2213","type":"fairsharing_records","attributes":{"created_at":"2015-07-09T12:06:07.000Z","updated_at":"2022-07-20T12:17:45.442Z","metadata":{"doi":"10.25504/FAIRsharing.af3j4h","name":"Research Domain Criteria Database","status":"deprecated","contacts":[{"contact_email":"rdocdbhelp@mail.nih.gov"}],"homepage":"http://rdocdb.nimh.nih.gov","identifier":2213,"description":"RDoCdb is an informatics platform for the sharing of human subjects data related to Mental Health research. This database may be used to plan for data submission, share your data, query data that is already shared, or to share your results related to a publication or finding. RDoCdb is is a part of the NIMH Data Archive (NDA), powered by the National Database for Autism Research (NDAR) infrastructure.","abbreviation":"RDoCdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://rdocdb.nimh.nih.gov/contact-us/","type":"Contact form"}],"data_versioning":"not found","deprecation_date":"2020-10-25","deprecation_reason":"This resource has been merged with the NIMH Data Archive.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000687","bsg-d000687"],"name":"FAIRsharing record for: Research Domain Criteria Database","abbreviation":"RDoCdb","url":"https://fairsharing.org/10.25504/FAIRsharing.af3j4h","doi":"10.25504/FAIRsharing.af3j4h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDoCdb is an informatics platform for the sharing of human subjects data related to Mental Health research. This database may be used to plan for data submission, share your data, query data that is already shared, or to share your results related to a publication or finding. RDoCdb is is a part of the NIMH Data Archive (NDA), powered by the National Database for Autism Research (NDAR) infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10993},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12721}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Biomedical Science","Preclinical Studies"],"domains":["Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"RDoCdb Disclaimer","licence_id":699,"licence_url":"https://data-archive.nimh.nih.gov/rdocdb/footer/disclaimer.html","link_id":870,"relation":"undefined"},{"licence_name":"RDoCdb Privacy Policy","licence_id":700,"licence_url":"https://data-archive.nimh.nih.gov/rdocdb/footer/privacy-policy.html","link_id":869,"relation":"undefined"}],"grants":[{"id":2009,"fairsharing_record_id":2213,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:25:28.585Z","updated_at":"2021-09-30T09:25:28.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2010,"fairsharing_record_id":2213,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:28.625Z","updated_at":"2021-09-30T09:25:28.625Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2214","type":"fairsharing_records","attributes":{"created_at":"2015-07-09T12:26:16.000Z","updated_at":"2022-07-20T13:19:46.759Z","metadata":{"doi":"10.25504/FAIRsharing.1h7t5t","name":"National Database for Clinical Trials related to Mental Illness","status":"deprecated","contacts":[{"contact_name":"Help email","contact_email":"NDAHelp@mail.nih.go"}],"homepage":"https://data-archive.nimh.nih.gov/ndct/","identifier":2214,"description":"NDCT is an informatics platform for the sharing of clinical trial data funded by the National Institute of Mental Health. NDCT is a part of the NIMH Data Archive (NDA), powered by the NDAR (National Database for Autism Research) infrastructure.","abbreviation":"NDCT","data_curation":{"type":"not found"},"support_links":[{"url":"http://ndct.nimh.nih.gov/contact-us/","type":"Contact form"}],"year_creation":2014,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012481","name":"re3data:r3d100012481","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013795","name":"SciCrunch:RRID:SCR_013795","portal":"SciCrunch"}],"deprecation_date":"2020-10-25","deprecation_reason":"This resource has been merged with the NIMH Data Archive.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000688","bsg-d000688"],"name":"FAIRsharing record for: National Database for Clinical Trials related to Mental Illness","abbreviation":"NDCT","url":"https://fairsharing.org/10.25504/FAIRsharing.1h7t5t","doi":"10.25504/FAIRsharing.1h7t5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NDCT is an informatics platform for the sharing of clinical trial data funded by the National Institute of Mental Health. NDCT is a part of the NIMH Data Archive (NDA), powered by the NDAR (National Database for Autism Research) infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10994},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12722}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Biomedical Science","Preclinical Studies"],"domains":["Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2011,"fairsharing_record_id":2214,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:25:28.666Z","updated_at":"2021-09-30T09:25:28.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2012,"fairsharing_record_id":2214,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:28.722Z","updated_at":"2021-09-30T09:25:28.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2215","type":"fairsharing_records","attributes":{"created_at":"2015-07-09T12:46:56.000Z","updated_at":"2021-12-08T09:43:12.706Z","metadata":{"doi":"10.25504/FAIRsharing.nv3g3d","name":"EpiFactors","status":"deprecated","contacts":[{"contact_name":"Yulia Medvedeva","contact_email":"ju.medvedeva@gmail.com"}],"homepage":"http://www.epifactors.autosome.ru/","citations":[],"identifier":2215,"description":"EpiFactors is a web-accessible database that provides broad information about human proteins and complexes involved in epigenetic regulation. It also lists corresponding genes and their expression levels in several samples, in particular 458 human primary cell samples, 255 different cancer cell lines and 134 human post-mortem tissues. Each protein and complex entry has been provided with links to external public resources.","abbreviation":"EpiFactors","data_curation":{"type":"not found"},"support_links":[{"url":"http://epifactors.autosome.ru/description","type":"Help documentation"},{"url":"http://epifactors.autosome.ru/description/queries","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-12-08","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000689","bsg-d000689"],"name":"FAIRsharing record for: EpiFactors","abbreviation":"EpiFactors","url":"https://fairsharing.org/10.25504/FAIRsharing.nv3g3d","doi":"10.25504/FAIRsharing.nv3g3d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EpiFactors is a web-accessible database that provides broad information about human proteins and complexes involved in epigenetic regulation. It also lists corresponding genes and their expression levels in several samples, in particular 458 human primary cell samples, 255 different cancer cell lines and 134 human post-mortem tissues. Each protein and complex entry has been provided with links to external public resources.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12723}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenetics","Life Science"],"domains":["Expression data","Cell","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan","Norway","Russia","Spain","Sweden"],"publications":[{"id":1942,"pubmed_id":26153137,"title":"EpiFactors: a comprehensive database of human epigenetic factors and complexes.","year":2015,"url":"http://doi.org/10.1093/database/bav067","authors":"Medvedeva YA,Lennartsson A,Ehsani R,Kulakovskiy IV,Vorontsov IE,Panahandeh P,Khimulya G,Kasukawa T,Drablos F","journal":"Database (Oxford)","doi":"10.1093/database/bav067","created_at":"2021-09-30T08:25:58.547Z","updated_at":"2021-09-30T08:25:58.547Z"}],"licence_links":[],"grants":[{"id":8170,"fairsharing_record_id":2215,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:31:19.297Z","updated_at":"2021-09-30T09:31:19.335Z","grant_id":1118,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"14-04-00180","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8309,"fairsharing_record_id":2215,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:32:01.258Z","updated_at":"2021-09-30T09:32:01.304Z","grant_id":1431,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"FPDI-2013-18088","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2014,"fairsharing_record_id":2215,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:25:28.780Z","updated_at":"2021-09-30T09:29:17.102Z","grant_id":176,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BFU2011-30246","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2013,"fairsharing_record_id":2215,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:25:28.753Z","updated_at":"2021-09-30T09:31:06.533Z","grant_id":1020,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"15-34-20423","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2216","type":"fairsharing_records","attributes":{"created_at":"2015-07-21T14:16:49.000Z","updated_at":"2022-07-20T12:21:09.464Z","metadata":{"doi":"10.25504/FAIRsharing.k9ptv7","name":"PlasmID","status":"deprecated","contacts":[{"contact_name":"PlasmID Help","contact_email":"plasmidhelp@hms.harvard.edu"}],"homepage":"https://plasmid.med.harvard.edu/PLASMID/Home.xhtml","citations":[],"identifier":2216,"description":"The PlasmID Repository provides researchers with inexpensive sequencing and plasmid services, holding ~350,000 plasmids, including most human cDNAs as well as shRNA libraries. PlasmID was added to the DNA Resource Core in the spring of 2004 to reduce the burden on individual labs to store, maintain and distribute plasmid clones and supporting information.","abbreviation":"PlasmID","data_curation":{"type":"not found"},"support_links":[{"url":"https://plasmid.med.harvard.edu/PLASMID/Pricing.jsp","name":"PlasmID Pricing","type":"Help documentation"},{"url":"https://plasmid.med.harvard.edu/PLASMID/cloningstrategies.jsp","name":"Learn about PlasmID","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012516","name":"re3data:r3d100012516","portal":"re3data"}],"deprecation_date":"2021-03-18","deprecation_reason":"In August 2019, PlasmID suspended plasmid distribution from the collection. Since that time, the website and its contents have been shut down.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000690","bsg-d000690"],"name":"FAIRsharing record for: PlasmID","abbreviation":"PlasmID","url":"https://fairsharing.org/10.25504/FAIRsharing.k9ptv7","doi":"10.25504/FAIRsharing.k9ptv7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PlasmID Repository provides researchers with inexpensive sequencing and plasmid services, holding ~350,000 plasmids, including most human cDNAs as well as shRNA libraries. PlasmID was added to the DNA Resource Core in the spring of 2004 to reduce the burden on individual labs to store, maintain and distribute plasmid clones and supporting information.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10995}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Biology"],"domains":["Deoxyribonucleic acid","RNA interference","Mutation analysis","Plasmid","Cloning plasmid"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Expression plasmid"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"PlasmID Terms and Conditions of Use","licence_id":672,"licence_url":"https://plasmid.med.harvard.edu/PLASMID/TermAndCondition.jsp","link_id":624,"relation":"undefined"}],"grants":[{"id":2016,"fairsharing_record_id":2216,"organisation_id":1768,"relation":"maintains","created_at":"2021-09-30T09:25:28.857Z","updated_at":"2021-09-30T09:25:28.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":1768,"name":"Massachusetts General Hospital, Boston, MA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2022,"fairsharing_record_id":2216,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:25:29.066Z","updated_at":"2021-09-30T09:25:29.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2018,"fairsharing_record_id":2216,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:25:28.929Z","updated_at":"2021-09-30T09:25:28.929Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2020,"fairsharing_record_id":2216,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:25:28.983Z","updated_at":"2021-09-30T09:25:28.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2021,"fairsharing_record_id":2216,"organisation_id":207,"relation":"maintains","created_at":"2021-09-30T09:25:29.025Z","updated_at":"2021-09-30T09:25:29.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":207,"name":"Beth Israel Deaconess Medical Center, Boston, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2019,"fairsharing_record_id":2216,"organisation_id":300,"relation":"maintains","created_at":"2021-09-30T09:25:28.952Z","updated_at":"2021-09-30T09:25:28.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":300,"name":"Boston Children's Hospital, MA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2017,"fairsharing_record_id":2216,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:25:28.896Z","updated_at":"2021-09-30T09:25:28.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2199","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T18:55:14.000Z","updated_at":"2021-11-24T13:18:14.841Z","metadata":{"doi":"10.25504/FAIRsharing.an0y9t","name":"NanoMaterial Registry","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"nanoregistry@rti.org"}],"homepage":"https://nanohub.org/groups/nanomaterialregistry","identifier":2199,"description":"The Nanomaterial Registry is a central registry and growing repository of publicly-available nanomaterial data which are fully curated based upon a set of Minimal Information about Nanomaterials (MIAN). Each nanomaterial curated into the Registry provides the following information: Physico-characteristics – values, protocols, metadata; Information on the related biological and/or environmental studies; Instance of Characterization information – preparation, synthesis, and time frame leading up to the nanomaterial characterization; and Validation back to the Data Source, such as scholarly article, manufacturer’s website. As both the original homepage (http://www.nanomaterialregistry.org/) and data browser are not functional, we have marked this record as Uncertain. Please get in touch with us if you have any information on this resource.","abbreviation":"Nano Registry","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NanoRegistry","name":"@NanoRegistry","type":"Twitter"}],"year_creation":2012,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000673","bsg-d000673"],"name":"FAIRsharing record for: NanoMaterial Registry","abbreviation":"Nano Registry","url":"https://fairsharing.org/10.25504/FAIRsharing.an0y9t","doi":"10.25504/FAIRsharing.an0y9t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nanomaterial Registry is a central registry and growing repository of publicly-available nanomaterial data which are fully curated based upon a set of Minimal Information about Nanomaterials (MIAN). Each nanomaterial curated into the Registry provides the following information: Physico-characteristics – values, protocols, metadata; Information on the related biological and/or environmental studies; Instance of Characterization information – preparation, synthesis, and time frame leading up to the nanomaterial characterization; and Validation back to the Data Source, such as scholarly article, manufacturer’s website. As both the original homepage (http://www.nanomaterialregistry.org/) and data browser are not functional, we have marked this record as Uncertain. Please get in touch with us if you have any information on this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11113}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Nanotechnology","Materials Science"],"domains":["Curated information"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":730,"pubmed_id":null,"title":"Nanomaterial registry: database that captures the minimal information about nanomaterial physico-chemical characteristics","year":2014,"url":"http://doi.org/10.1007/s11051-013-2219-8","authors":"Mills, Karmann C. and Murry, Damaris and Guzan, Kimberly A. and Ostraat, Michele L.","journal":"Journal of Nanoparticle Research","doi":"10.1007/s11051-013-2219-8","created_at":"2021-09-30T08:23:40.446Z","updated_at":"2021-09-30T08:23:40.446Z"},{"id":731,"pubmed_id":24098075,"title":"The Nanomaterial Registry: facilitating the sharing and analysis of data in the diverse nanomaterial community","year":2013,"url":"http://doi.org/10.2147/IJN.S40722","authors":"Michele L Ostraat, Karmann C Mills, Kimberly A Guzan, and Damaris Murry","journal":"Int J Nanomedicine","doi":"10.2147/IJN.S40722","created_at":"2021-09-30T08:23:40.545Z","updated_at":"2021-09-30T08:23:40.545Z"}],"licence_links":[],"grants":[{"id":1959,"fairsharing_record_id":2199,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:26.536Z","updated_at":"2021-09-30T09:25:26.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1958,"fairsharing_record_id":2199,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:25:26.498Z","updated_at":"2021-09-30T09:25:26.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1960,"fairsharing_record_id":2199,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:26.573Z","updated_at":"2021-09-30T09:25:26.573Z","grant_id":null,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1961,"fairsharing_record_id":2199,"organisation_id":2469,"relation":"maintains","created_at":"2021-09-30T09:25:26.615Z","updated_at":"2021-09-30T09:25:26.615Z","grant_id":null,"is_lead":true,"saved_state":{"id":2469,"name":"RTI International","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2212","type":"fairsharing_records","attributes":{"created_at":"2015-07-05T22:26:53.000Z","updated_at":"2022-07-20T12:25:47.196Z","metadata":{"doi":"10.25504/FAIRsharing.73reht","name":"Bio-Mirror","status":"deprecated","contacts":[{"contact_name":"Don Gilbert","contact_email":"gilbertd@indiana.edu","contact_orcid":"0000-0002-6646-7274"}],"homepage":"http://www.bio-mirror.net/","identifier":2212,"description":"A world bioinformatic public service for high-speed access to up-to-date DNA \u0026 protein biological sequence databanks.","abbreviation":"Bio-Mirror","data_curation":{"type":"not found"},"year_creation":1998,"data_versioning":"not found","deprecation_date":"2021-7-21","deprecation_reason":"This resource is no longer in active development.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000686","bsg-d000686"],"name":"FAIRsharing record for: Bio-Mirror","abbreviation":"Bio-Mirror","url":"https://fairsharing.org/10.25504/FAIRsharing.73reht","doi":"10.25504/FAIRsharing.73reht","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A world bioinformatic public service for high-speed access to up-to-date DNA \u0026 protein biological sequence databanks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":786,"pubmed_id":15059839,"title":"Bio-Mirror project for public bio-data distribution","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth219","authors":"Gilbert DG, Ugawa Y, Buchhorn M, Wee TT, Mizushima A, Kim H, Chon K, Weon S, Ma J, Ichiyanagi Y, Liou DM, Keretho S, Napis S.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth219","created_at":"2021-09-30T08:23:46.645Z","updated_at":"2021-09-30T08:23:46.645Z"}],"licence_links":[],"grants":[{"id":2005,"fairsharing_record_id":2212,"organisation_id":3069,"relation":"maintains","created_at":"2021-09-30T09:25:28.445Z","updated_at":"2021-09-30T09:25:28.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":3069,"name":"University of Indiana, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2004,"fairsharing_record_id":2212,"organisation_id":118,"relation":"funds","created_at":"2021-09-30T09:25:28.412Z","updated_at":"2021-09-30T09:25:28.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":118,"name":"Asian Pacific Bioinformatics Network (APBIONET)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2006,"fairsharing_record_id":2212,"organisation_id":151,"relation":"funds","created_at":"2021-09-30T09:25:28.491Z","updated_at":"2021-09-30T09:25:28.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":151,"name":"Australia's Academic and Research Network (AARNet), Australia","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2007,"fairsharing_record_id":2212,"organisation_id":1427,"relation":"funds","created_at":"2021-09-30T09:25:28.530Z","updated_at":"2021-09-30T09:25:28.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":1427,"name":"Institute of Microbiology of the Chinese Academy of Sciences (IMCAS), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2008,"fairsharing_record_id":2212,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:28.561Z","updated_at":"2021-09-30T09:25:28.561Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2209","type":"fairsharing_records","attributes":{"created_at":"2015-06-04T19:32:36.000Z","updated_at":"2023-12-15T10:28:25.076Z","metadata":{"doi":"10.25504/FAIRsharing.1hqd55","name":"Structural Biology Data Grid","status":"ready","contacts":[{"contact_name":"Piotr Sliz","contact_email":"sliz@hkl.hms.harvard.edu","contact_orcid":"0000-0002-6522-0835"}],"homepage":"http://data.sbgrid.org","citations":[],"identifier":2209,"description":"The Structural Biology Data Grid (SBGrid-DG) community-driven repository to preserve primary experimental datasets that support scientific publications. The SBGrid Data Bank is an open source research data management system enabling Structural Biologists to preserve x-ray diffraction data and to make it accessible to the broad research community.","abbreviation":"SBGrid-DG","data_curation":{"url":"https://data.sbgrid.org/help/deposit/","type":"none"},"support_links":[{"url":"https://data.sbgrid.org/contact/","type":"Contact form"},{"url":"data@sbgrid.org","name":"General Contact","type":"Support email"},{"url":"https://data.sbgrid.org/faq/","name":"General FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/SBGrid","name":"@SBGrid","type":"Twitter"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011601","name":"re3data:r3d100011601","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003511","name":"SciCrunch:RRID:SCR_003511","portal":"SciCrunch"}],"data_access_condition":{"url":"https://data.sbgrid.org/help/download/","type":"open","notes":"data download of each dataset can be done thorugh rsync"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://data.sbgrid.org/help/deposit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000683","bsg-d000683"],"name":"FAIRsharing record for: Structural Biology Data Grid","abbreviation":"SBGrid-DG","url":"https://fairsharing.org/10.25504/FAIRsharing.1hqd55","doi":"10.25504/FAIRsharing.1hqd55","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Structural Biology Data Grid (SBGrid-DG) community-driven repository to preserve primary experimental datasets that support scientific publications. The SBGrid Data Bank is an open source research data management system enabling Structural Biologists to preserve x-ray diffraction data and to make it accessible to the broad research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","X-ray diffraction","Light microscopy","Imaging","Light-sheet illumination","Centrally registered identifier","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["MicroED"],"countries":["China","Sweden","United States","Uruguay"],"publications":[{"id":746,"pubmed_id":24040512,"title":"Collaboration gets the most out of software.","year":2013,"url":"http://doi.org/10.7554/eLife.01456","authors":"Morin A,Eisenbraun B,Key J,Sanschagrin PC,Timony MA,Ottaviano M,Sliz P","journal":"Elife","doi":"10.7554/eLife.01456","created_at":"2021-09-30T08:23:42.153Z","updated_at":"2021-09-30T08:23:42.153Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1268,"relation":"undefined"},{"licence_name":"SBGrid Data Bank: Policies, Terms of Use and Guidelines","licence_id":726,"licence_url":"https://data.sbgrid.org/policies/","link_id":1269,"relation":"undefined"}],"grants":[{"id":1996,"fairsharing_record_id":2209,"organisation_id":2496,"relation":"maintains","created_at":"2021-09-30T09:25:28.096Z","updated_at":"2021-09-30T09:25:28.096Z","grant_id":null,"is_lead":true,"saved_state":{"id":2496,"name":"SBGrid Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":1999,"fairsharing_record_id":2209,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:25:28.212Z","updated_at":"2021-09-30T09:25:28.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1997,"fairsharing_record_id":2209,"organisation_id":2788,"relation":"maintains","created_at":"2021-09-30T09:25:28.132Z","updated_at":"2021-09-30T09:25:28.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":2788,"name":"The Institute for Quantitative Social Service, Harvard University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1998,"fairsharing_record_id":2209,"organisation_id":1706,"relation":"funds","created_at":"2021-09-30T09:25:28.174Z","updated_at":"2021-09-30T09:25:28.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":1706,"name":"Leona M. and Harry B. Helmsley Charitable Trust, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBajhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e2a3a1997f0e7bf02788fc6919d417918ba123ad/logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2205","type":"fairsharing_records","attributes":{"created_at":"2015-05-07T21:54:42.000Z","updated_at":"2023-06-23T15:53:06.524Z","metadata":{"doi":"10.25504/FAIRsharing.djyk2c","name":"MoonProt","status":"ready","contacts":[{"contact_name":"Constance Jeffery","contact_email":"cjeffery@uic.edu","contact_orcid":"0000-0002-2147-3638"}],"homepage":"http://www.moonlightingproteins.org","identifier":2205,"description":"MoonProt Database is a manually curated, searchable, internet-based resource with information about the over 200 proteins that have been experimentally verified to be moonlighting proteins. Moonlighting proteins comprise a class of multifunctional proteins in which a single polypeptide chain performs multiple biochemical functions that are not due to gene fusions, multiple RNA splice variants or pleiotropic effects. The availability of this organized information provides a more complete picture of what is currently known about moonlighting proteins. The database will also aid researchers in other fields, including determining the functions of genes identified in genome sequencing projects, interpreting data from proteomics projects and annotating protein sequence and structural databases. In addition, information about the structures and functions of moonlighting proteins can be helpful in understanding how novel protein functional sites evolved on an ancient protein scaffold, which can also help in the design of proteins with novel functions.","abbreviation":"MoonProt","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.moonlightingproteins.org/faqs.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.moonlightingproteins.org/faqs/","type":"open","notes":"Data can be submitted upon email request."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000679","bsg-d000679"],"name":"FAIRsharing record for: MoonProt","abbreviation":"MoonProt","url":"https://fairsharing.org/10.25504/FAIRsharing.djyk2c","doi":"10.25504/FAIRsharing.djyk2c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MoonProt Database is a manually curated, searchable, internet-based resource with information about the over 200 proteins that have been experimentally verified to be moonlighting proteins. Moonlighting proteins comprise a class of multifunctional proteins in which a single polypeptide chain performs multiple biochemical functions that are not due to gene fusions, multiple RNA splice variants or pleiotropic effects. The availability of this organized information provides a more complete picture of what is currently known about moonlighting proteins. The database will also aid researchers in other fields, including determining the functions of genes identified in genome sequencing projects, interpreting data from proteomics projects and annotating protein sequence and structural databases. In addition, information about the structures and functions of moonlighting proteins can be helpful in understanding how novel protein functional sites evolved on an ancient protein scaffold, which can also help in the design of proteins with novel functions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12717}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Protein identification","Function analysis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1951,"pubmed_id":25324305,"title":"MoonProt: a database for proteins that are known to moonlight.","year":2014,"url":"http://doi.org/10.1093/nar/gku954","authors":"Mani M, Chen C, Amblee V, Liu H, Mathur T, Zwicke G, Zabad S, Patel B, Thakkar J, Jeffery CJ.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku954","created_at":"2021-09-30T08:25:59.557Z","updated_at":"2021-09-30T08:25:59.557Z"}],"licence_links":[],"grants":[{"id":1975,"fairsharing_record_id":2205,"organisation_id":3067,"relation":"maintains","created_at":"2021-09-30T09:25:27.268Z","updated_at":"2021-09-30T09:25:27.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":3067,"name":"University of Illinois at Chicago, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2210","type":"fairsharing_records","attributes":{"created_at":"2015-06-24T15:49:08.000Z","updated_at":"2023-12-15T10:33:11.506Z","metadata":{"doi":"10.25504/FAIRsharing.aqhv1y","name":"NCBI BioProject","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"bioprojecthelp@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/bioproject/","citations":[{"doi":"10.1093/nar/gkr1163","pubmed_id":22139929,"publication_id":514}],"identifier":2210,"description":"A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. The BioProject database is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms.","abbreviation":"BioProject","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/bioproject/docs/faq/#will-ncbi-apply-further-curation","type":"none"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/bioproject/docs/faq/","name":"BioProject FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK54016","name":"NCBI Help Manual: BioProject","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK169438/","name":"BioProject Overview","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013330","name":"re3data:r3d100013330","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004801","name":"SciCrunch:RRID:SCR_004801","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/bioproject/browse","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://submit.ncbi.nlm.nih.gov/subs/bioproject/","type":"controlled","notes":"Sequence submission at NCBI requires a Log in."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000684","bsg-d000684"],"name":"FAIRsharing record for: NCBI BioProject","abbreviation":"BioProject","url":"https://fairsharing.org/10.25504/FAIRsharing.aqhv1y","doi":"10.25504/FAIRsharing.aqhv1y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. The BioProject database is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Metatranscriptomics","Life Science","Transcriptomics"],"domains":["Experimental measurement","Annotation","Genomic assembly","Sequencing","Experimentally determined","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":514,"pubmed_id":22139929,"title":"BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1163","authors":"Barrett T,Clark K,Gevorgyan R,Gorelenkov V,Gribov E,Karsch-Mizrachi I,Kimelman M,Pruitt KD,Resenchuk S,Tatusova T,Yaschenko E,Ostell J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1163","created_at":"2021-09-30T08:23:16.098Z","updated_at":"2021-09-30T11:28:46.975Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2066,"relation":"undefined"}],"grants":[{"id":2000,"fairsharing_record_id":2210,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:28.249Z","updated_at":"2021-09-30T09:25:28.249Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2001,"fairsharing_record_id":2210,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:28.291Z","updated_at":"2021-09-30T09:25:28.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2249","type":"fairsharing_records","attributes":{"created_at":"2015-12-09T15:29:05.000Z","updated_at":"2024-03-27T22:28:54.047Z","metadata":{"doi":"10.25504/FAIRsharing.tpqndj","name":"ModelArchive","status":"ready","contacts":[{"contact_name":"Torsten Schwede","contact_email":"torsten.schwede@unibas.ch","contact_orcid":"0000-0003-2715-335X"}],"homepage":"https://www.modelarchive.org/","citations":[],"identifier":2249,"description":"ModelArchive is the archive for structural models which are not based on experimental data and complements the PDB archive for experimental structures and PDB-Dev for integrative structures. The ModelArchive is being developed following the \"Workshop on Applications of Protein Models in Biomedical Research\" held at the University of California, San Francisco in July 2008 for applications of protein models in biomedical research. ModelArchive is a repository for depositions of computed models of macromolecular structures which are not based on experimental data. The models can consist of any combination of proteins, RNA, DNA, or carbohydrates and include small molecules bound to them. Deposited models are findable, accessible, interoperable and reusable. Depositions are assigned a DOI to be included in manuscripts for which the model was generated.","abbreviation":null,"data_curation":{"url":"https://www.modelarchive.org/help","type":"manual","notes":"data deposit minimum information"},"support_links":[{"url":"help-modelarchive@unibas.ch","name":"General Contact","type":"Support email"},{"url":"https://www.modelarchive.org/help","name":"Help Documentation","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://matomo.org/","name":"Matomo"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"name":"supported by the SIB - Swiss Institute of Bioinformatics"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://modelarchive.org/account","type":"controlled","notes":"Free registration is required and submitted information is check prior to publication."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000723","bsg-d000723"],"name":"FAIRsharing record for: ModelArchive","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tpqndj","doi":"10.25504/FAIRsharing.tpqndj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ModelArchive is the archive for structural models which are not based on experimental data and complements the PDB archive for experimental structures and PDB-Dev for integrative structures. The ModelArchive is being developed following the \"Workshop on Applications of Protein Models in Biomedical Research\" held at the University of California, San Francisco in July 2008 for applications of protein models in biomedical research. ModelArchive is a repository for depositions of computed models of macromolecular structures which are not based on experimental data. The models can consist of any combination of proteins, RNA, DNA, or carbohydrates and include small molecules bound to them. Deposited models are findable, accessible, interoperable and reusable. Depositions are assigned a DOI to be included in manuscripts for which the model was generated.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11540},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12736}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Structural Biology"],"domains":["Molecular structure","Mathematical model","Protein structure","Computational biological predictions","Modeling and simulation","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United States"],"publications":[{"id":1369,"pubmed_id":23624946,"title":"The Protein Model Portal--a comprehensive resource for protein structure and model information.","year":2013,"url":"http://doi.org/10.1093/database/bat031","authors":"Haas J,Roth S,Arnold K,Kiefer F,Schmidt T,Bordoli L,Schwede T","journal":"Database (Oxford)","doi":"10.1093/database/bat031","created_at":"2021-09-30T08:24:53.093Z","updated_at":"2021-09-30T08:24:53.093Z"},{"id":2988,"pubmed_id":19217386,"title":"Outcome of a workshop on applications of protein models in biomedical research.","year":2009,"url":"http://doi.org/10.1016/j.str.2008.12.014","authors":"Schwede T,Sali A,Honig B,Levitt M,Berman HM et al.","journal":"Structure","doi":"10.1016/j.str.2008.12.014","created_at":"2021-09-30T08:28:08.333Z","updated_at":"2021-09-30T08:28:08.333Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":535,"relation":"undefined"}],"grants":[{"id":2121,"fairsharing_record_id":2249,"organisation_id":284,"relation":"maintains","created_at":"2021-09-30T09:25:32.790Z","updated_at":"2021-09-30T09:25:32.790Z","grant_id":null,"is_lead":true,"saved_state":{"id":284,"name":"Biozentrum, University of Basel, Basel, Switzerland","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":2123,"fairsharing_record_id":2249,"organisation_id":2682,"relation":"funds","created_at":"2021-09-30T09:25:32.844Z","updated_at":"2021-09-30T09:25:32.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11062,"fairsharing_record_id":2249,"organisation_id":908,"relation":"collaborates_on","created_at":"2023-10-30T20:38:10.031Z","updated_at":"2023-10-30T20:38:10.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":11063,"fairsharing_record_id":2249,"organisation_id":2689,"relation":"funds","created_at":"2023-10-30T20:38:10.054Z","updated_at":"2023-10-30T20:38:10.054Z","grant_id":1986,"is_lead":false,"saved_state":{"id":2689,"name":"swiss universities","grant":"Swiss Open Research Data Grants (CHORD), Track B","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11064,"fairsharing_record_id":2249,"organisation_id":819,"relation":"collaborates_on","created_at":"2023-10-30T20:38:10.296Z","updated_at":"2023-10-30T20:38:10.296Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11065,"fairsharing_record_id":2249,"organisation_id":3597,"relation":"collaborates_on","created_at":"2023-10-30T20:38:10.481Z","updated_at":"2023-10-30T20:38:10.481Z","grant_id":null,"is_lead":false,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVVFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c8956d04314f0037c6704e29c12e05bfdaab8fe1/Screenshot%20from%202024-03-27%2021-53-17.png?disposition=inline","exhaustive_licences":true}},{"id":"2250","type":"fairsharing_records","attributes":{"created_at":"2015-12-15T12:46:05.000Z","updated_at":"2023-12-15T10:32:47.150Z","metadata":{"doi":"10.25504/FAIRsharing.1d0vs7","name":"Mediterranean Founder Mutation Database","status":"ready","contacts":[{"contact_name":"Hicham Charoute","contact_email":"hcharoute@hotmail.fr","contact_orcid":"0000-0002-9338-6744"}],"homepage":"http://mfmd.pasteur.ma/","identifier":2250,"description":"A comprehensive database established to offer a web-based access to founder mutation data in Mediterranean population. The database provides an overview about the spectrum of founder mutations found in Mediterranean population to the scientific community. Furthermore, MFMD will help scientists to design more efficient diagnostic tests and provides beneficial information to understand the history and the migration events of the Mediterranean population.","abbreviation":"MFMD","data_curation":{"url":"http://mfmd.pasteur.ma/index.php","type":"manual"},"support_links":[{"url":"http://mfmd.pasteur.ma/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://mfmd.pasteur.ma/submission.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000724","bsg-d000724"],"name":"FAIRsharing record for: Mediterranean Founder Mutation Database","abbreviation":"MFMD","url":"https://fairsharing.org/10.25504/FAIRsharing.1d0vs7","doi":"10.25504/FAIRsharing.1d0vs7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive database established to offer a web-based access to founder mutation data in Mediterranean population. The database provides an overview about the spectrum of founder mutations found in Mediterranean population to the scientific community. Furthermore, MFMD will help scientists to design more efficient diagnostic tests and provides beneficial information to understand the history and the migration events of the Mediterranean population.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science","Population Genetics"],"domains":["Mutation","Founder effect","Gene-disease association","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Morocco"],"publications":[{"id":907,"pubmed_id":26173767,"title":"Mediterranean Founder Mutation Database (MFMD): Taking Advantage from Founder Mutations in Genetics Diagnosis, Genetic Diversity and Migration History of the Mediterranean Population.","year":2015,"url":"http://doi.org/10.1002/humu.22835","authors":"Charoute H, Bakhchane A, Benrahma H, Romdhane L, Gabi K, Rouba H, Fakiri M, Abdelhak S, Lenaers G, Barakat A.","journal":"Human Mutation","doi":"10.1002/humu.22835","created_at":"2021-09-30T08:24:00.145Z","updated_at":"2021-09-30T08:24:00.145Z"}],"licence_links":[],"grants":[{"id":2125,"fairsharing_record_id":2250,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:25:32.901Z","updated_at":"2021-09-30T09:25:32.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2126,"fairsharing_record_id":2250,"organisation_id":2293,"relation":"maintains","created_at":"2021-09-30T09:25:32.941Z","updated_at":"2021-09-30T09:25:32.941Z","grant_id":null,"is_lead":false,"saved_state":{"id":2293,"name":"Pasteur Institute of Morocco","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2251","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T11:15:53.000Z","updated_at":"2023-12-15T10:30:09.794Z","metadata":{"doi":"10.25504/FAIRsharing.n8qft8","name":"Mexican Health and Aging Study","status":"ready","contacts":[{"contact_name":"Rebeca Wong","contact_email":"rewong@utmb.edu","contact_orcid":"0000-0001-7287-0660"}],"homepage":"http://www.mhasweb.org/","identifier":2251,"description":"The MHAS study is a series of questionnaires distributed in waves, the fourth of which was fielded in the Fall of 2015. Research goals include, but are not limited to the following: examination of the aging processes and its disease and disability burden in a large representative panel of older Mexicans; evaluation of the effects of individual behaviors, early life circumstances, migration and economic history, community characteristics, and family transfer systems on multiple health outcomes; and comparison of the health dynamics of older Mexicans with comparably aged Mexican-born migrants in the U.S. and second generation Mexican-American using similar data from the U.S. population (for example the biennial Health and Retirement Study HRS) to assess the durability of the migrant health advantage.","abbreviation":"MHAS","data_curation":{"type":"not found"},"support_links":[{"url":"info@mhasweb.com","type":"Support email"},{"url":"http://www.mhasweb.org/DocumentationQuestionnaire.aspx","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011840","name":"re3data:r3d100011840","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000818","name":"SciCrunch:RRID:SCR_000818","portal":"SciCrunch"}],"data_access_condition":{"type":"open","notes":"Registration required"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000725","bsg-d000725"],"name":"FAIRsharing record for: Mexican Health and Aging Study","abbreviation":"MHAS","url":"https://fairsharing.org/10.25504/FAIRsharing.n8qft8","doi":"10.25504/FAIRsharing.n8qft8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MHAS study is a series of questionnaires distributed in waves, the fourth of which was fielded in the Fall of 2015. Research goals include, but are not limited to the following: examination of the aging processes and its disease and disability burden in a large representative panel of older Mexicans; evaluation of the effects of individual behaviors, early life circumstances, migration and economic history, community characteristics, and family transfer systems on multiple health outcomes; and comparison of the health dynamics of older Mexicans with comparably aged Mexican-born migrants in the U.S. and second generation Mexican-American using similar data from the U.S. population (for example the biennial Health and Retirement Study HRS) to assess the durability of the migrant health advantage.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11123}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Biomedical Science"],"domains":["Aging","Questionnaire","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Mexico","United States"],"publications":[{"id":890,"pubmed_id":26172238,"title":"Progression of aging in Mexico: the Mexican Health and Aging Study (MHAS) 2012.","year":2015,"url":"http://doi.org/10.21149/spm.v57s1.7593","authors":"Wong R,Michaels-Obregon A,Palloni A,Gutierrez-Robledo LM,Gonzalez-Gonzalez C,Lopez-Ortega M,Tellez-Rojo MM,Mendoza-Alvarado LR","journal":"Salud Publica Mex","doi":"10.21149/spm.v57s1.7593","created_at":"2021-09-30T08:23:58.321Z","updated_at":"2021-09-30T08:23:58.321Z"}],"licence_links":[{"licence_name":"Mexican Health and Aging Study - Unrestricted after Registration (Majority)","licence_id":507,"licence_url":"http://www.mhasweb.org/Data.aspx","link_id":1204,"relation":"undefined"},{"licence_name":"MHAS - Usage Restricted (Subset of Data only)","licence_id":512,"licence_url":"http://www.mhasweb.org/resources/MHAS%20Restricted-Use%20Files.pdf","link_id":1205,"relation":"undefined"}],"grants":[{"id":2127,"fairsharing_record_id":2251,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:25:32.973Z","updated_at":"2021-09-30T09:29:50.363Z","grant_id":428,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"R01-AG018016","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2255","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T13:40:13.000Z","updated_at":"2024-03-21T13:59:33.931Z","metadata":{"doi":"10.25504/FAIRsharing.q04phv","name":"NIH Human Microbiome Project","status":"ready","contacts":[],"homepage":"http://hmpdacc.org/","citations":[{"doi":"10.1038/nature11209","pubmed_id":22699610,"publication_id":889},{"doi":"10.1038/s41586-019-1238-8","pubmed_id":null,"publication_id":3890}],"identifier":2255,"description":"The NIH Common Fund Human Microbiome Project (HMP) was established in 2008, with the mission of generating resources that would enable the comprehensive characterization of the human microbiome and analysis of its role in human health and disease. The HMP has characterized the microbial communities found at several different sites on the human body: nasal passages, oral cavity, skin, gastrointestinal tract, and urogenital tract.","abbreviation":"HMP","data_curation":{"type":"not found"},"support_links":[{"url":"http://hmpdacc.org/outreach/feedback.php","type":"Contact form"},{"url":"http://hmpdacc.org/overview/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://commonfund.nih.gov/hmp/index","type":"Help documentation"},{"url":"https://twitter.com/hmpdacc","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://hmpdacc.org/sp/","name":"SitePainter"}],"data_access_condition":{"url":"https://www.hmpdacc.org/hmp/overview/data-model.php","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000729","bsg-d000729"],"name":"FAIRsharing record for: NIH Human Microbiome Project","abbreviation":"HMP","url":"https://fairsharing.org/10.25504/FAIRsharing.q04phv","doi":"10.25504/FAIRsharing.q04phv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NIH Common Fund Human Microbiome Project (HMP) was established in 2008, with the mission of generating resources that would enable the comprehensive characterization of the human microbiome and analysis of its role in human health and disease. The HMP has characterized the microbial communities found at several different sites on the human body: nasal passages, oral cavity, skin, gastrointestinal tract, and urogenital tract.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10814},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11127}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Microbiome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":888,"pubmed_id":22699609,"title":"Structure, function and diversity of the healthy human microbiome.","year":2012,"url":"http://doi.org/10.1038/nature11234","authors":"The Human Microbiome Project Consortium","journal":"Nature","doi":"10.1038/nature11234","created_at":"2021-09-30T08:23:58.052Z","updated_at":"2021-09-30T11:28:31.185Z"},{"id":889,"pubmed_id":22699610,"title":"A framework for human microbiome research.","year":2012,"url":"http://doi.org/10.1038/nature11209","authors":"The Human Microbiome Project Consortium","journal":"Nature","doi":"10.1038/nature11209","created_at":"2021-09-30T08:23:58.160Z","updated_at":"2021-09-30T11:28:31.296Z"},{"id":3890,"pubmed_id":null,"title":"The Integrative Human Microbiome Project","year":2019,"url":"http://dx.doi.org/10.1038/s41586-019-1238-8","authors":"undefined, undefined; ","journal":"Nature","doi":"10.1038/s41586-019-1238-8","created_at":"2023-06-06T08:32:33.048Z","updated_at":"2023-06-06T08:32:33.048Z"}],"licence_links":[{"licence_name":"NIH HMP Web Policies and Notices","licence_id":585,"licence_url":"http://hmpdacc.org/policy.php","link_id":887,"relation":"undefined"}],"grants":[{"id":2138,"fairsharing_record_id":2255,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:25:33.371Z","updated_at":"2021-09-30T09:25:33.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2133,"fairsharing_record_id":2255,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:33.211Z","updated_at":"2021-09-30T09:25:33.211Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2134,"fairsharing_record_id":2255,"organisation_id":2162,"relation":"maintains","created_at":"2021-09-30T09:25:33.253Z","updated_at":"2021-09-30T09:25:33.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":2162,"name":"NIH Data Analysis and Coordination Center (DACC)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2137,"fairsharing_record_id":2255,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:25:33.346Z","updated_at":"2021-09-30T09:25:33.346Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2139,"fairsharing_record_id":2255,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:25:33.410Z","updated_at":"2021-09-30T09:25:33.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11552,"fairsharing_record_id":2255,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:51.211Z","updated_at":"2024-03-21T13:58:51.211Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11606,"fairsharing_record_id":2255,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:33.733Z","updated_at":"2024-03-21T13:59:33.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2256","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T14:10:05.000Z","updated_at":"2023-12-15T10:32:02.398Z","metadata":{"doi":"10.25504/FAIRsharing.m8wewa","name":"Cancer Genome Atlas","status":"ready","contacts":[{"contact_email":"tcga@mail.nih.gov"}],"homepage":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga","citations":[],"identifier":2256,"description":"The Cancer Genome Atlas (TCGA) is a comprehensive, collaborative effort led by the National Institutes of Health (NIH) to map the genomic changes associated with specific types of tumors to improve the prevention, diagnosis and treatment of cancer. Its mission is to accelerate the understanding of the molecular basis of cancer through the application of genome analysis and characterization technologies.","abbreviation":"TCGA","data_curation":{"type":"not found"},"support_links":[{"url":"https://wiki.nci.nih.gov/display/TCGA/TCGA+Data+Primer","type":"Help documentation"},{"url":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/history","type":"Help documentation"},{"url":"https://twitter.com/TCGAupdates","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/using-tcga/tools","name":"TCGA Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011173","name":"re3data:r3d100011173","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003193","name":"SciCrunch:RRID:SCR_003193","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000730","bsg-d000730"],"name":"FAIRsharing record for: Cancer Genome Atlas","abbreviation":"TCGA","url":"https://fairsharing.org/10.25504/FAIRsharing.m8wewa","doi":"10.25504/FAIRsharing.m8wewa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer Genome Atlas (TCGA) is a comprehensive, collaborative effort led by the National Institutes of Health (NIH) to map the genomic changes associated with specific types of tumors to improve the prevention, diagnosis and treatment of cancer. Its mission is to accelerate the understanding of the molecular basis of cancer through the application of genome analysis and characterization technologies.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11128},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12739}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science","Biomedical Science"],"domains":["Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":785,"pubmed_id":25654590,"title":"The future of cancer genomics.","year":2015,"url":"http://doi.org/10.1038/nm.3801","authors":"No authors listed","journal":"Nat Med","doi":"10.1038/nm.3801","created_at":"2021-09-30T08:23:46.535Z","updated_at":"2021-09-30T11:28:30.971Z"},{"id":794,"pubmed_id":21383744,"title":"Cancer genomics: from discovery science to personalized medicine.","year":2011,"url":"http://doi.org/10.1038/nm.2323","authors":"Chin L,Andersen JN,Futreal PA","journal":"Nat Med","doi":"10.1038/nm.2323","created_at":"2021-09-30T08:23:47.511Z","updated_at":"2021-09-30T08:23:47.511Z"},{"id":1126,"pubmed_id":21406553,"title":"Making sense of cancer genomic data.","year":2011,"url":"http://doi.org/10.1101/gad.2017311","authors":"Chin L,Hahn WC,Getz G,Meyerson M","journal":"Genes Dev","doi":"10.1101/gad.2017311","created_at":"2021-09-30T08:24:24.783Z","updated_at":"2021-09-30T08:24:24.783Z"},{"id":1286,"pubmed_id":25691825,"title":"The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.","year":2015,"url":"http://doi.org/10.5114/wo.2014.47136","authors":"Tomczak K,Czerwinska P,Wiznerowicz M","journal":"Contemp Oncol (Pozn)","doi":"10.5114/wo.2014.47136","created_at":"2021-09-30T08:24:43.542Z","updated_at":"2021-09-30T08:24:43.542Z"}],"licence_links":[{"licence_name":"The Cancer Genome Atlas data policies and guidelines","licence_id":783,"licence_url":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/history/policies","link_id":1315,"relation":"undefined"}],"grants":[{"id":2141,"fairsharing_record_id":2256,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:33.486Z","updated_at":"2021-09-30T09:25:33.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2140,"fairsharing_record_id":2256,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:25:33.439Z","updated_at":"2021-09-30T09:25:33.439Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2259","type":"fairsharing_records","attributes":{"created_at":"2016-01-06T08:30:27.000Z","updated_at":"2023-12-15T10:29:45.218Z","metadata":{"doi":"10.25504/FAIRsharing.pxr7x2","name":"SwissLipids","status":"ready","contacts":[{"contact_name":"Alan Bridge","contact_email":"swisslipids@isb-sib.ch","contact_orcid":"0000-0003-2148-9135"}],"homepage":"http://www.swisslipids.org/#/","citations":[],"identifier":2259,"description":"SwissLipids is an expert-curated resource that provides a framework for the integration of lipid and lipidomic data with biological knowledge and models. SwissLipids is updated daily.","abbreviation":"SwissLipids","data_curation":{"url":"http://www.swisslipids.org/#/about","type":"manual","notes":"Expert curated lipids"},"support_links":[{"url":"http://www.swisslipids.org/#/about","name":"About","type":"Help documentation"},{"url":"http://www.swisslipids.org/#/news","name":"News","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012603","name":"re3data:r3d100012603","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000733","bsg-d000733"],"name":"FAIRsharing record for: SwissLipids","abbreviation":"SwissLipids","url":"https://fairsharing.org/10.25504/FAIRsharing.pxr7x2","doi":"10.25504/FAIRsharing.pxr7x2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SwissLipids is an expert-curated resource that provides a framework for the integration of lipid and lipidomic data with biological knowledge and models. SwissLipids is updated daily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Mass spectrum","Chemical structure","Lipid","Cellular localization","Molecular interaction","Enzyme","Structure","Literature curation","Biocuration"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":187,"pubmed_id":25943471,"title":"The SwissLipids knowledgebase for lipid biology.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv285","authors":"Aimo L,Liechti R,Hyka-Nouspikel N,Niknejad A,Gleizes A,Gotz L,Kuznetsov D,David FP,van der Goot FG,Riezman H,Bougueleret L,Xenarios I,Bridge A","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv285","created_at":"2021-09-30T08:22:40.522Z","updated_at":"2021-09-30T08:22:40.522Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":871,"relation":"undefined"}],"grants":[{"id":2156,"fairsharing_record_id":2259,"organisation_id":2635,"relation":"funds","created_at":"2021-09-30T09:25:34.023Z","updated_at":"2021-09-30T09:25:34.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation SERI","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2155,"fairsharing_record_id":2259,"organisation_id":2687,"relation":"maintains","created_at":"2021-09-30T09:25:33.992Z","updated_at":"2021-09-30T09:25:33.992Z","grant_id":null,"is_lead":false,"saved_state":{"id":2687,"name":"Swiss-Prot group, SIB Swiss Institute of Bioinformatics","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2157,"fairsharing_record_id":2259,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:25:34.051Z","updated_at":"2021-09-30T09:25:34.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2158,"fairsharing_record_id":2259,"organisation_id":3193,"relation":"maintains","created_at":"2021-09-30T09:25:34.081Z","updated_at":"2021-09-30T09:25:34.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":3193,"name":"Vital-IT group, SIB Swiss Institute of Bioinformatics, Switzerland","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2260","type":"fairsharing_records","attributes":{"created_at":"2016-01-15T14:48:10.000Z","updated_at":"2022-02-23T19:04:03.834Z","metadata":{"doi":"10.25504/FAIRsharing.bc3cnk","name":"Visualizing Continuous Health Usability Test Results Dataset","status":"deprecated","contacts":[{"contact_name":"Andres Ledesma","contact_email":"andres.ledesma@tut.fi"}],"homepage":"http://www.tut.fi/phi/?p=319","identifier":2260,"description":"The dataset was obtained from series of usability tests on a software tool for visualizing continuous health status of a modeled patient. The emphasis of this results are on the hFigures visualization llibrary. The software is a dashboard for visualizing the health status of a modeled virtual patient improving the health condition over a coaching program. The files are in machine-readable format saved as comma separated values. The questionnaires applied were: After Scenario Questionnaire Computer System Usability Questionnaire Nielsen’s Heuristic Evaluation The questionnaires were done using the web application by Gary Perlman available in the url: garyperlman.com/quest/ the file laboratory.csv contains the tasks and their time to completion along with the errors occurred. The tasks, software tool and research context is available in the article submitted to BMC Medical Informatics \u0026 Decision Making. The experiment included three usability experts and eleven non-expert users. The file asq.csv contains the answers to the three questions of the After Scenario Questionnaire. The file csuq.csv contains the answers to the 19 questions of the Computer System Usability Questionnaire. The file heuristics.csv contains the answers to the 10 questions of the Nielsen’s Heuristic Evaluation. This datasets are available under the MIT license.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000734","bsg-d000734"],"name":"FAIRsharing record for: Visualizing Continuous Health Usability Test Results Dataset","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bc3cnk","doi":"10.25504/FAIRsharing.bc3cnk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The dataset was obtained from series of usability tests on a software tool for visualizing continuous health status of a modeled patient. The emphasis of this results are on the hFigures visualization llibrary. The software is a dashboard for visualizing the health status of a modeled virtual patient improving the health condition over a coaching program. The files are in machine-readable format saved as comma separated values. The questionnaires applied were: After Scenario Questionnaire Computer System Usability Questionnaire Nielsen’s Heuristic Evaluation The questionnaires were done using the web application by Gary Perlman available in the url: garyperlman.com/quest/ the file laboratory.csv contains the tasks and their time to completion along with the errors occurred. The tasks, software tool and research context is available in the article submitted to BMC Medical Informatics \u0026 Decision Making. The experiment included three usability experts and eleven non-expert users. The file asq.csv contains the answers to the three questions of the After Scenario Questionnaire. The file csuq.csv contains the answers to the 19 questions of the Computer System Usability Questionnaire. The file heuristics.csv contains the answers to the 10 questions of the Nielsen’s Heuristic Evaluation. This datasets are available under the MIT license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Finland"],"publications":[],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":890,"relation":"undefined"}],"grants":[{"id":8890,"fairsharing_record_id":2260,"organisation_id":2703,"relation":"associated_with","created_at":"2022-02-23T19:03:25.748Z","updated_at":"2022-02-23T19:03:25.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":2703,"name":"Tampere University, Finland","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2261","type":"fairsharing_records","attributes":{"created_at":"2016-01-22T03:31:01.000Z","updated_at":"2023-12-15T10:30:53.503Z","metadata":{"doi":"10.25504/FAIRsharing.bcjrnq","name":"Physiome Model Repository","status":"ready","contacts":[{"contact_name":"Repository Help","contact_email":"help@physiomeproject.org"}],"homepage":"https://models.physiomeproject.org","citations":[],"identifier":2261,"description":"The Physiome Model Repository (PMR) is the main online repository for the IUPS Physiome Project, providing version and access controlled repositories, called workspaces, for users to store their data. PMR also provides a mechanism to create persistent access to specific revisions of a workspace, termed exposures. Exposure plugins are available for specific types of data (e.g., CellML or FieldML documents) which enable customizable views of the data when browsing the repository via a web browser, or an application accessing the repository’s content via web services.","abbreviation":"PMR","data_curation":{"type":"not found"},"support_links":[{"url":"https://models.physiomeproject.org/about/contact","name":"General Contact","type":"Contact form"},{"url":"https://aucklandphysiomerepository.readthedocs.io/en/latest/","name":"User Documentation","type":"Help documentation"},{"url":"https://twitter.com/physiomeproject","name":"@physiomeproject","type":"Twitter"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"http://opencor.ws","name":"OpenCOR"},{"url":"https://github.com/pmr2","name":"PMR2"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000735","bsg-d000735"],"name":"FAIRsharing record for: Physiome Model Repository","abbreviation":"PMR","url":"https://fairsharing.org/10.25504/FAIRsharing.bcjrnq","doi":"10.25504/FAIRsharing.bcjrnq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Physiome Model Repository (PMR) is the main online repository for the IUPS Physiome Project, providing version and access controlled repositories, called workspaces, for users to store their data. PMR also provides a mechanism to create persistent access to specific revisions of a workspace, termed exposures. Exposure plugins are available for specific types of data (e.g., CellML or FieldML documents) which enable customizable views of the data when browsing the repository via a web browser, or an application accessing the repository’s content via web services.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12250}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Mathematics","Life Science","Physiology","Biomedical Science","Systems Biology"],"domains":["Mathematical model","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["New Zealand","United Kingdom","United States"],"publications":[{"id":932,"pubmed_id":21216774,"title":"The Physiome Model Repository 2.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btq723","authors":"Yu T,Lloyd CM,Nickerson DP,Cooling MT,Miller AK,Garny A,Terkildsen JR,Lawson J,Britten RD,Hunter PJ,Nielsen PM","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq723","created_at":"2021-09-30T08:24:03.080Z","updated_at":"2021-09-30T08:24:03.080Z"},{"id":935,"pubmed_id":18658182,"title":"The CellML Model Repository.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn390","authors":"Lloyd CM,Lawson JR,Hunter PJ,Nielsen PF","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn390","created_at":"2021-09-30T08:24:03.454Z","updated_at":"2021-09-30T08:24:03.454Z"},{"id":1405,"pubmed_id":19380315,"title":"CellML metadata standards, associated tools and repositories.","year":2009,"url":"http://doi.org/10.1098/rsta.2008.0310","authors":"Beard DA,Britten R,Cooling MT,Garny A,Halstead MD,Hunter PJ,Lawson J,Lloyd CM,Marsh J,Miller A,Nickerson DP,Nielsen PM,Nomura T,Subramanium S,Wimalaratne SM,Yu T","journal":"Philos Trans A Math Phys Eng Sci","doi":"10.1098/rsta.2008.0310","created_at":"2021-09-30T08:24:57.083Z","updated_at":"2021-09-30T08:24:57.083Z"},{"id":2143,"pubmed_id":21235804,"title":"Revision history aware repositories of computational models of biological systems.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-22","authors":"Miller AK,Yu T,Britten R,Cooling MT,Lawson J,Cowan D,Garny A,Halstead MD,Hunter PJ,Nickerson DP,Nunns G,Wimalaratne SM,Nielsen PM","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-22","created_at":"2021-09-30T08:26:21.558Z","updated_at":"2021-09-30T08:26:21.558Z"},{"id":2679,"pubmed_id":17947072,"title":"Toward a curated CellML model repository.","year":2007,"url":"http://doi.org/10.1109/IEMBS.2006.260202","authors":"Nickerson D,Stevens C,Halstead M,Hunter P,Nielsen P","journal":"Conf Proc IEEE Eng Med Biol Soc","doi":"10.1109/IEMBS.2006.260202","created_at":"2021-09-30T08:27:28.980Z","updated_at":"2021-09-30T08:27:28.980Z"},{"id":2686,"pubmed_id":27051515,"title":"The Human Physiome: how standards, software and innovative service infrastructures are providing the building blocks to make it achievable.","year":2016,"url":"http://doi.org/10.1098/rsfs.2015.0103","authors":"Nickerson D,Atalag K,de Bono B,Geiger J,Goble C,Hollmann S,Lonien J,Muller W,Regierer B,Stanford NJ,Golebiewski M,Hunter P","journal":"Interface Focus","doi":"10.1098/rsfs.2015.0103","created_at":"2021-09-30T08:27:29.972Z","updated_at":"2021-09-30T08:27:29.972Z"}],"licence_links":[],"grants":[{"id":2160,"fairsharing_record_id":2261,"organisation_id":134,"relation":"maintains","created_at":"2021-09-30T09:25:34.186Z","updated_at":"2021-09-30T09:25:34.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":134,"name":"Auckland Bioengineering Institute, New Zealand","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2263","type":"fairsharing_records","attributes":{"created_at":"2016-03-02T05:59:46.000Z","updated_at":"2023-12-15T10:32:51.731Z","metadata":{"doi":"10.25504/FAIRsharing.dw22y3","name":"Genetic and Genomic Information System","status":"ready","contacts":[{"contact_name":"URGI Contact","contact_email":"urgi-contact@versailles.inra.fr","contact_orcid":"0000-0003-3001-4908"}],"homepage":"https://urgi.versailles.inra.fr/gnpis","identifier":2263,"description":"GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.","abbreviation":"GnpIS","data_curation":{"url":"https://urgi.versailles.inrae.fr/Species/Botrytis","type":"manual/automated","notes":"Some data, such as genomes are mmanually curated and functionaly annotated"},"support_links":[{"url":"urgi-support@versailles.inra.fr","type":"Support email"}],"year_creation":2001,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012647","name":"re3data:r3d100012647","portal":"re3data"}],"data_access_condition":{"type":"partially open","notes":"Some data can only be accessed through a register form, only possible for project partners."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://urgi.versailles.inrae.fr/Data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000737","bsg-d000737"],"name":"FAIRsharing record for: Genetic and Genomic Information System","abbreviation":"GnpIS","url":"https://fairsharing.org/10.25504/FAIRsharing.dw22y3","doi":"10.25504/FAIRsharing.dw22y3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11366},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11872},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12175},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12741},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16741}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genetic map","Genome map","Expression data","DNA sequence data","Genetic polymorphism","Phenotype","Genotype"],"taxonomies":["Agaricus subrefescens","Arabidopsis thaliana","Arabis alpina","Botrytis cinerea B0510","Botrytis cinerea T4","Leptosphaeria","Malus x domestica","Medicago truncatula","Microbotryum violaceum","Oryza","Pisum sativum L.","Plantae","Populus trichocarpa","Sclerotinia sclerotiorum","Solanum lycopersicum (ITAG 2.3)","Triticum aestivum","Tuber melanosporum","Venturia inaequalis","Vitis vinifera","Zea mays"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2210,"pubmed_id":23959375,"title":"GnpIS: an information system to integrate genetic and genomic data from plants and fungi","year":2013,"url":"http://doi.org/10.1093/database/bat058","authors":"Delphine Steinbach, Michael Alaux, Joelle Amselem, Nathalie Choisne, Sophie Durand, Raphaël Flores, Aminah-Olivia Keliet, Erik Kimmel, Nicolas Lapalu, Isabelle Luyten, Célia Michotey, Nacer Mohellibi, Cyril Pommier, Sébastien Reboux, Dorothée Valdenaire, Daphné Verdelet and Hadi Quesneville*","journal":"Database","doi":"10.1093/database/bat058","created_at":"2021-09-30T08:26:29.074Z","updated_at":"2021-09-30T08:26:29.074Z"}],"licence_links":[],"grants":[{"id":2166,"fairsharing_record_id":2263,"organisation_id":2872,"relation":"maintains","created_at":"2021-09-30T09:25:34.362Z","updated_at":"2021-09-30T09:25:34.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":2872,"name":"trans-national infrastructure for plant genomic science (transPLANT)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2170,"fairsharing_record_id":2263,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:25:34.473Z","updated_at":"2021-09-30T09:25:34.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2168,"fairsharing_record_id":2263,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:25:34.413Z","updated_at":"2021-09-30T09:31:17.133Z","grant_id":1101,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"283496","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2167,"fairsharing_record_id":2263,"organisation_id":2919,"relation":"maintains","created_at":"2021-09-30T09:25:34.389Z","updated_at":"2021-09-30T09:25:34.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":2919,"name":"Unité de Recherche Genomique Info (URGI), Institut National de la Recherche Agronomique (INRA), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2169,"fairsharing_record_id":2263,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:34.439Z","updated_at":"2021-09-30T09:25:34.439Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2171,"fairsharing_record_id":2263,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:25:34.497Z","updated_at":"2021-09-30T09:25:34.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2264","type":"fairsharing_records","attributes":{"created_at":"2016-03-08T19:07:34.000Z","updated_at":"2023-06-23T11:33:59.194Z","metadata":{"doi":"10.25504/FAIRsharing.j97pjn","name":"Validated Antibody Database","status":"ready","contacts":[{"contact_name":"Hanqing Xie","contact_email":"han@labome.com"}],"homepage":"http://www.labome.com","citations":[],"identifier":2264,"description":"Labome organizes reagent information from high quality suppliers. The reagents include antibodies, siRNA/shRNA, ELISA kits, cDNA clones, proteins/peptides, and biochemicals. To help solve the antibody quality problem, Labome manually curates antibody information from formal publications and develops Validated Antibody Database (VAD).","abbreviation":"VAD","data_curation":{"type":"manual","notes":"VAD is a manually curated database."},"support_links":[{"url":"https://twitter.com/labome","type":"Twitter"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"url":"https://www.labome.com/bin/ea.pl?q=","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000738","bsg-d000738"],"name":"FAIRsharing record for: Validated Antibody Database","abbreviation":"VAD","url":"https://fairsharing.org/10.25504/FAIRsharing.j97pjn","doi":"10.25504/FAIRsharing.j97pjn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Labome organizes reagent information from high quality suppliers. The reagents include antibodies, siRNA/shRNA, ELISA kits, cDNA clones, proteins/peptides, and biochemicals. To help solve the antibody quality problem, Labome manually curates antibody information from formal publications and develops Validated Antibody Database (VAD).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Peptide","Reagent","Antibody","Protein","Complementary DNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3887,"pubmed_id":null,"title":"Abstract 3111: Validated antibody Database: A curated database of antibodies cited in formal publications","year":2017,"url":"http://dx.doi.org/10.1158/1538-7445.AM2017-3111","authors":"Xie, Hanqing; ","journal":"Cancer Research","doi":"10.1158/1538-7445.am2017-3111","created_at":"2023-06-05T08:43:18.837Z","updated_at":"2023-06-05T08:43:18.837Z"}],"licence_links":[{"licence_name":"Labome Copyright","licence_id":484,"licence_url":"http://www.labome.com/about/copyright.html","link_id":891,"relation":"undefined"}],"grants":[{"id":2172,"fairsharing_record_id":2264,"organisation_id":1660,"relation":"maintains","created_at":"2021-09-30T09:25:34.527Z","updated_at":"2021-09-30T09:25:34.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":1660,"name":"Labome, Princeton, NJ, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2265","type":"fairsharing_records","attributes":{"created_at":"2016-03-15T12:52:35.000Z","updated_at":"2023-12-15T10:32:44.586Z","metadata":{"doi":"10.25504/FAIRsharing.wx5r6f","name":"ClinVar","status":"ready","contacts":[{"contact_email":"clinvar@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/clinvar/","citations":[],"identifier":2265,"description":"ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. ClinVar thus facilitates access to and communication about the relationships asserted between human variation and observed health status, and the history of that interpretation. ClinVar processes submissions reporting variants found in patient samples, assertions made regarding their clinical significance, information about the submitter, and other supporting data. The alleles described in submissions are mapped to reference sequences, and reported according to the HGVS standard. ClinVar then presents the data for interactive users as well as those wishing to use ClinVar in daily workflows and other local applications. ClinVar works in collaboration with interested organizations to meet the needs of the medical genetics community as efficiently and effectively as possible.","abbreviation":"ClinVar","data_curation":{"type":"none"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/clinvar/docs/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/clinvar/docs/faq_submitters/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/clinvar/docs/help/","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/clinvar/advanced/","name":"Advanced Search"},{"url":"http://www.ncbi.nlm.nih.gov/variation/view/","name":"Variation Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013331","name":"re3data:r3d100013331","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006169","name":"SciCrunch:RRID:SCR_006169","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/clinvar/docs/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000739","bsg-d000739"],"name":"FAIRsharing record for: ClinVar","abbreviation":"ClinVar","url":"https://fairsharing.org/10.25504/FAIRsharing.wx5r6f","doi":"10.25504/FAIRsharing.wx5r6f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. ClinVar thus facilitates access to and communication about the relationships asserted between human variation and observed health status, and the history of that interpretation. ClinVar processes submissions reporting variants found in patient samples, assertions made regarding their clinical significance, information about the submitter, and other supporting data. The alleles described in submissions are mapped to reference sequences, and reported according to the HGVS standard. ClinVar then presents the data for interactive users as well as those wishing to use ClinVar in daily workflows and other local applications. ClinVar works in collaboration with interested organizations to meet the needs of the medical genetics community as efficiently and effectively as possible.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12742},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19992}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Clinical Studies","Biomedical Science","Preclinical Studies"],"domains":["Genetic polymorphism","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1302,"pubmed_id":24234437,"title":"ClinVar: public archive of relationships among sequence variation and human phenotype.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1113","authors":"Landrum MJ,Lee JM,Riley GR,Jang W,Rubinstein WS,Church DM,Maglott DR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1113","created_at":"2021-09-30T08:24:45.398Z","updated_at":"2021-09-30T11:29:05.661Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":1835,"relation":"undefined"}],"grants":[{"id":2173,"fairsharing_record_id":2265,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:34.567Z","updated_at":"2021-09-30T09:25:34.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2257","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T18:40:21.000Z","updated_at":"2023-12-15T10:30:44.514Z","metadata":{"doi":"10.25504/FAIRsharing.httzv2","name":"Movebank Data Repository","status":"ready","contacts":[{"contact_name":"Sarah Davidson","contact_email":"sdavidson@ab.mpg.de","contact_orcid":"0000-0002-2766-9201"}],"homepage":"https://www.datarepository.movebank.org/","citations":[],"identifier":2257,"description":"This data repository allows users to publish animal tracking and animal-borne sensor datasets that have been uploaded to Movebank (https://www.movebank.org). Published datasets have gone through a submission and review process, and are associated with a peer-reviewed journal article or other published report. All animal tracking data in this repository are available to the public.","abbreviation":"MDR","data_curation":{"url":"https://datarepository.movebank.org/help/submission-guidelines","type":"manual"},"support_links":[{"url":"support@movebank.org","name":"General Contact","type":"Support email"},{"url":"https://www.movebank.org/cms/movebank-content/manual","name":"User Manual","type":"Help documentation"},{"url":"https://www.movebank.org/node/15294","name":"About","type":"Help documentation"},{"url":"https://www.movebank.org/cms/movebank-content/manual#part_2:_data_management_with_movebank","name":"Submission Documentation","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010469","name":"re3data:r3d100010469","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://datarepository.movebank.org/help/submission-guidelines","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000731","bsg-d000731"],"name":"FAIRsharing record for: Movebank Data Repository","abbreviation":"MDR","url":"https://fairsharing.org/10.25504/FAIRsharing.httzv2","doi":"10.25504/FAIRsharing.httzv2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This data repository allows users to publish animal tracking and animal-borne sensor datasets that have been uploaded to Movebank (https://www.movebank.org). Published datasets have gone through a submission and review process, and are associated with a peer-reviewed journal article or other published report. All animal tracking data in this repository are available to the public.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12983}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Zoology","Behavioural Biology","Ecology","Life Science","Biology"],"domains":["Centrally registered identifier","Animal tracking"],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":1515,"pubmed_id":26578793,"title":"Fat, weather, and date affect migratory songbirds' departure decisions, routes, and time it takes to cross the Gulf of Mexico.","year":2015,"url":"http://doi.org/10.1073/pnas.1503381112","authors":"Deppe JL,Ward MP,Bolus RT,Diehl RH,Celis-Murillo A,Zenzal TJ Jr,Moore FR,Benson TJ,Smolinsky JA,Schofield LN,Enstrom DA,Paxton EH,Bohrer G,Beveroth TA,Raim A,Obringer RL,Delaney D,Cochran WW","journal":"Proc Natl Acad Sci U S A","doi":"10.1073/pnas.1503381112","created_at":"2021-09-30T08:25:09.562Z","updated_at":"2021-09-30T08:25:09.562Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":985,"relation":"undefined"}],"grants":[{"id":2144,"fairsharing_record_id":2257,"organisation_id":158,"relation":"funds","created_at":"2021-09-30T09:25:33.598Z","updated_at":"2021-09-30T09:25:33.598Z","grant_id":null,"is_lead":false,"saved_state":{"id":158,"name":"Baden-Württemberg Ministry for Science, Research and Art","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2146,"fairsharing_record_id":2257,"organisation_id":1992,"relation":"funds","created_at":"2021-09-30T09:25:33.673Z","updated_at":"2021-09-30T09:32:12.278Z","grant_id":1515,"is_lead":false,"saved_state":{"id":1992,"name":"National Geographic Society, Washington DC, USA","grant":"8971-11","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7990,"fairsharing_record_id":2257,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:16.406Z","updated_at":"2021-09-30T09:30:16.443Z","grant_id":631,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1147022","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8124,"fairsharing_record_id":2257,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:05.014Z","updated_at":"2021-09-30T09:31:05.070Z","grant_id":1008,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1147096","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2142,"fairsharing_record_id":2257,"organisation_id":1792,"relation":"maintains","created_at":"2021-09-30T09:25:33.527Z","updated_at":"2021-09-30T09:25:33.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":1792,"name":"Max Planck Institute of Animal Behavior","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2143,"fairsharing_record_id":2257,"organisation_id":3074,"relation":"maintains","created_at":"2021-09-30T09:25:33.566Z","updated_at":"2021-09-30T09:25:33.566Z","grant_id":null,"is_lead":true,"saved_state":{"id":3074,"name":"University of Konstanz Communication, Information, Media Centre","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2145,"fairsharing_record_id":2257,"organisation_id":994,"relation":"funds","created_at":"2021-09-30T09:25:33.636Z","updated_at":"2021-09-30T09:25:33.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":994,"name":"FAIRsFAIR (European Union’s Horizon 2020 Project)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2147,"fairsharing_record_id":2257,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:33.710Z","updated_at":"2021-09-30T09:25:33.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2148,"fairsharing_record_id":2257,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:33.739Z","updated_at":"2021-09-30T09:29:05.659Z","grant_id":90,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1145952","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2258","type":"fairsharing_records","attributes":{"created_at":"2016-01-05T19:57:37.000Z","updated_at":"2024-06-24T09:38:03.824Z","metadata":{"doi":"10.25504/FAIRsharing.9nns5e","name":"RegenBase","status":"deprecated","contacts":[{"contact_name":"Vance Lemmon","contact_email":"VLemmon@med.miami.edu","contact_orcid":"0000-0003-3550-7576"}],"homepage":"https://regenbase.org/","citations":[],"identifier":2258,"description":"RegenBase is a research project that applies informatics tools and methods to organize and interrogate experimental data generated by spinal cord injury (SCI) research, with the ultimate goal of translating SCI experimental findings in model organisms into human therapies. \n","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://regenbase.org/team--contact.html","name":"General Contact Form and Emails","type":"Contact form"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2024-06-24","deprecation_reason":"While the homepage is available, browsing and searching of data is non-functional (no values are returned). However, the maintainers are working on the issue and we will mark this resource as Ready once it is back up and running. Please let us know if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Only data from people within the research project can be submitted"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000732","bsg-d000732"],"name":"FAIRsharing record for: RegenBase","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9nns5e","doi":"10.25504/FAIRsharing.9nns5e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RegenBase is a research project that applies informatics tools and methods to organize and interrogate experimental data generated by spinal cord injury (SCI) research, with the ultimate goal of translating SCI experimental findings in model organisms into human therapies. \n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Medicine","Neurobiology","Biomedical Science","Translational Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics","Semantic","Spinal Cord","Spinal Cord Injury"],"countries":["United States"],"publications":[{"id":848,"pubmed_id":27055827,"title":"RegenBase: a knowledge base of spinal cord injury biology for translational research.","year":2016,"url":"http://doi.org/10.1093/database/baw040","authors":"Callahan A, Abeyruwan SW, Al-Ali H, Sakurai K, Ferguson AR, Popovich PG, Shah NH, Visser U, Bixby JL, Lemmon VP.","journal":"Database (Oxford)","doi":"10.1093/database/baw040","created_at":"2021-09-30T08:23:53.545Z","updated_at":"2021-09-30T08:23:53.545Z"}],"licence_links":[{"licence_name":"RegenBase Terms","licence_id":1074,"licence_url":"https://regenbase.org/terms-of-use.html","link_id":3340,"relation":"applies_to_content"}],"grants":[{"id":2150,"fairsharing_record_id":2258,"organisation_id":3093,"relation":"maintains","created_at":"2021-09-30T09:25:33.794Z","updated_at":"2023-09-21T13:37:53.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":3093,"name":"University of Miami School of Medicine, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2149,"fairsharing_record_id":2258,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:25:33.763Z","updated_at":"2021-09-30T09:25:33.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2152,"fairsharing_record_id":2258,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:33.876Z","updated_at":"2021-09-30T09:30:12.279Z","grant_id":597,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"HD057632","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2151,"fairsharing_record_id":2258,"organisation_id":3093,"relation":"funds","created_at":"2021-09-30T09:25:33.832Z","updated_at":"2021-09-30T09:31:01.955Z","grant_id":986,"is_lead":false,"saved_state":{"id":3093,"name":"University of Miami School of Medicine, USA","grant":"5R01NS080145-04","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2153,"fairsharing_record_id":2258,"organisation_id":2023,"relation":"funds","created_at":"2021-09-30T09:25:33.919Z","updated_at":"2021-09-30T09:29:21.436Z","grant_id":210,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","grant":"NS080145","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2154,"fairsharing_record_id":2258,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:33.957Z","updated_at":"2021-09-30T09:25:33.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10879,"fairsharing_record_id":2258,"organisation_id":1825,"relation":"maintains","created_at":"2023-09-21T13:37:53.481Z","updated_at":"2023-09-21T13:37:53.481Z","grant_id":null,"is_lead":true,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdkVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1eaab8a8d64380b47cf4e7225da663e6ba6bea24/1424801361.png?disposition=inline","exhaustive_licences":true}},{"id":"2269","type":"fairsharing_records","attributes":{"created_at":"2016-03-30T01:25:31.000Z","updated_at":"2022-07-20T11:35:26.587Z","metadata":{"doi":"10.25504/FAIRsharing.rbba3x","name":"Genetic Epidemiology Simulation Database","status":"deprecated","contacts":[{"contact_name":"Ren-Hua Chung","contact_email":"rchung@nhri.org.tw","contact_orcid":"0000-0002-9835-6333"}],"homepage":"http://gesdb.nhri.org.tw/","identifier":2269,"description":"GESDB is a platform for sharing simulation data and discussion of simulation techniques for human genetic studies. The database contains simulation scripts, simulated data, and documentations from published manuscripts. The forum provides a platform for Q\u0026A for the simulated data and exchanging simulation ideas. GESDB aims to promote transparency and efficiency in simulation studies for human genetic studies.","abbreviation":"GESDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://gesdb.nhri.org.tw/f","type":"Forum"},{"url":"http://gesdb.nhri.org.tw/user/list","type":"Mailing list"}],"year_creation":2015,"data_versioning":"not found","associated_tools":[{"url":"http://seqsimla.sourceforge.net","name":"SeqSIMLA 2"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000743","bsg-d000743"],"name":"FAIRsharing record for: Genetic Epidemiology Simulation Database","abbreviation":"GESDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rbba3x","doi":"10.25504/FAIRsharing.rbba3x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GESDB is a platform for sharing simulation data and discussion of simulation techniques for human genetic studies. The database contains simulation scripts, simulated data, and documentations from published manuscripts. The forum provides a platform for Q\u0026A for the simulated data and exchanging simulation ideas. GESDB aims to promote transparency and efficiency in simulation studies for human genetic studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12743}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Statistics","Life Science","Epidemiology"],"domains":["Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":330,"pubmed_id":27242038,"title":"GESDB: a platform of simulation resources for genetic epidemiology studies.","year":2016,"url":"http://doi.org/10.1093/database/baw082","authors":"Yao PJ, Chung RH","journal":"Database (Oxford)","doi":"10.1093/database/baw082","created_at":"2021-09-30T08:22:55.407Z","updated_at":"2021-09-30T08:22:55.407Z"}],"licence_links":[],"grants":[{"id":2190,"fairsharing_record_id":2269,"organisation_id":1996,"relation":"funds","created_at":"2021-09-30T09:25:35.107Z","updated_at":"2021-09-30T09:25:35.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":1996,"name":"National Health Research Institutes (NIHR), Zhunan, Taiwan","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2262","type":"fairsharing_records","attributes":{"created_at":"2016-02-18T13:28:40.000Z","updated_at":"2023-12-15T10:31:49.579Z","metadata":{"doi":"10.25504/FAIRsharing.nnvcr9","name":"FAIRDOMHub","status":"ready","contacts":[{"contact_name":"FAIRDOM support","contact_email":"support@fair-dom.org"}],"homepage":"https://fairdomhub.org/","citations":[],"identifier":2262,"description":"The FAIRDOMHub is a publicly available repository build using the SEEK software, which enables collaborations within the scientific community. FAIRDOM will establish a support and service network for European Systems Biology. It will serve projects in standardizing, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable. FAIRDOM is an initiative to develop a community, and establish an internationally sustained Data and Model Management service to the European Systems Biology community. FAIRDOM is a joint action of ERA-Net EraSysAPP and European Research Infrastructure ISBE.","abbreviation":"FAIRDOMHub","data_curation":{"type":"none"},"support_links":[{"url":"support@fair-dom.org","type":"Support email"},{"url":"http://docs.seek4science.org/help/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://biostar.fair-dom.org/","type":"Forum"},{"url":"http://docs.seek4science.org/help/","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"http://docs.seek4science.org/","name":"SEEK 1.10.1"},{"url":"http://www.rightfield.org.uk/","name":"RightField 0.25"},{"url":"http://fair-dom.org/platform/openbis/","name":"openBIS 16.05"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011928","name":"re3data:r3d100011928","portal":"re3data"}],"data_access_condition":{"url":"https://seek4science.org/faq","type":"controlled","notes":"Access controlled availability of data"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000736","bsg-d000736"],"name":"FAIRsharing record for: FAIRDOMHub","abbreviation":"FAIRDOMHub","url":"https://fairsharing.org/10.25504/FAIRsharing.nnvcr9","doi":"10.25504/FAIRsharing.nnvcr9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIRDOMHub is a publicly available repository build using the SEEK software, which enables collaborations within the scientific community. FAIRDOM will establish a support and service network for European Systems Biology. It will serve projects in standardizing, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable. FAIRDOM is an initiative to develop a community, and establish an internationally sustained Data and Model Management service to the European Systems Biology community. FAIRDOM is a joint action of ERA-Net EraSysAPP and European Research Infrastructure ISBE.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11365},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12251},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12740},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16722}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Molecular biology","Bioinformatics","Data Management","Proteomics","Biotechnology","Life Science","Metabolomics","Transcriptomics","Microbiology","Systems Biology"],"domains":["FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","Switzerland","United Kingdom"],"publications":[{"id":1234,"pubmed_id":26978244,"title":"The FAIR Guiding Principles for scientific data management and stewardship.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.18","authors":"Wilkinson MD,Dumontier M,Aalbersberg IJ,Appleton G,Axton M,Baak A,Blomberg N,Boiten JW,da Silva Santos LB,Bourne PE,Bouwman J,Brookes AJ,Clark T,Crosas M,Dillo I,Dumon O,Edmunds S,Evelo CT,Finkers R,Gonzalez-Beltran A,Gray AJ,Groth P,Goble C,Grethe JS,Heringa J,'t Hoen PA,Hooft R,Kuhn T,Kok R,Kok J,Lusher SJ,Martone ME,Mons A,Packer AL,Persson B,Rocca-Serra P,Roos M,van Schaik R,Sansone SA,Schultes E,Sengstag T,Slater T,Strawn G,Swertz MA,Thompson M,van der Lei J,van Mulligen E,Velterop J,Waagmeester A,Wittenburg P,Wolstencroft K,Zhao J,Mons B","journal":"Sci Data","doi":"10.1038/sdata.2016.18","created_at":"2021-09-30T08:24:37.674Z","updated_at":"2021-09-30T08:24:37.674Z"},{"id":1962,"pubmed_id":26160520,"title":"SEEK: a systems biology data and model management platform.","year":2015,"url":"http://doi.org/10.1186/s12918-015-0174-y","authors":"Wolstencroft K,Owen S,Krebs O,Nguyen Q,Stanford NJ,Golebiewski M,Weidemann A,Bittkowski M,An L,Shockley D,Snoep JL,Mueller W,Goble C","journal":"BMC Syst Biol","doi":"10.1186/s12918-015-0174-y","created_at":"2021-09-30T08:26:00.793Z","updated_at":"2021-09-30T08:26:00.793Z"},{"id":1979,"pubmed_id":26508761,"title":"openBIS ELN-LIMS: an open-source database for academic laboratories.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv606","authors":"Barillari C,Ottoz DS,Fuentes-Serna JM,Ramakrishnan C,Rinn B,Rudolf F","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv606","created_at":"2021-09-30T08:26:02.682Z","updated_at":"2021-09-30T08:26:02.682Z"},{"id":2591,"pubmed_id":27899646,"title":"FAIRDOMHub: a repository and collaboration environment for sharing systems biology research.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1032","authors":"Wolstencroft K,Krebs O,Snoep JL,Stanford NJ,Bacall F,Golebiewski M,Kuzyakiv R,Nguyen Q,Owen S,Soiland-Reyes S,Straszewski J,van Niekerk DD,Williams AR,Malmstrom L,Rinn B,Muller W,Goble C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1032","created_at":"2021-09-30T08:27:17.926Z","updated_at":"2021-09-30T11:29:40.210Z"},{"id":2592,"pubmed_id":21943917,"title":"The SEEK: a platform for sharing data and models in systems biology.","year":2011,"url":"http://doi.org/10.1016/B978-0-12-385118-5.00029-3","authors":"Wolstencroft K,Owen S,du Preez F,Krebs O,Mueller W,Goble C,Snoep JL","journal":"Methods Enzymol","doi":"10.1016/B978-0-12-385118-5.00029-3","created_at":"2021-09-30T08:27:18.070Z","updated_at":"2021-09-30T08:27:18.070Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":647,"relation":"undefined"}],"grants":[{"id":2162,"fairsharing_record_id":2262,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:34.257Z","updated_at":"2021-09-30T09:25:34.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2165,"fairsharing_record_id":2262,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:34.339Z","updated_at":"2021-09-30T09:31:11.817Z","grant_id":1058,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M013189/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10020,"fairsharing_record_id":2262,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.990Z","updated_at":"2022-10-13T09:43:38.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":2163,"fairsharing_record_id":2262,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:25:34.289Z","updated_at":"2021-09-30T09:25:34.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2164,"fairsharing_record_id":2262,"organisation_id":1231,"relation":"maintains","created_at":"2021-09-30T09:25:34.313Z","updated_at":"2021-09-30T09:25:34.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1231,"name":"Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9372,"fairsharing_record_id":2262,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.935Z","updated_at":"2022-04-11T12:07:33.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZE09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--90c553cd6b3d1a6721d8d9e6b691dd5b178dda13/hub.png?disposition=inline","exhaustive_licences":false}},{"id":"2349","type":"fairsharing_records","attributes":{"created_at":"2016-10-18T11:54:44.000Z","updated_at":"2024-03-27T22:29:10.027Z","metadata":{"doi":"10.25504/FAIRsharing.dk451a","name":"MassBank Europe","status":"ready","contacts":[{"contact_name":"Tobias Schulze","contact_email":"tobias.schulze@ufz.de"}],"homepage":"https://massbank.eu/MassBank/","citations":[],"identifier":2349,"description":"MassBank is an open source mass spectral library for the identification of small chemical molecules of metabolomics, exposomics and environmental relevance. The vast majority of MassBank contents now features high-resolution mass spectrometry data, although all kinds of mass spectral data are accepted. ","abbreviation":"MassBank","data_curation":{"type":"not found"},"support_links":[{"url":"massbank@massbank.eu","name":"General contact","type":"Support email"},{"url":"http://massbank.jp/manuals/MassBankUserManual_en.pdf","name":"MassBank Users Manual","type":"Help documentation"},{"url":"https://github.com/MassBank/MassBank-web/blob/master/Documentation/MassBankRecordFormat.md","name":"Record Format","type":"Github"},{"url":"https://github.com/MassBank","name":"MassBank community on GitHub","type":"Github"},{"url":"https://zenodo.org/communities/massbankeu/?page=1\u0026size=20","name":"MassBank community on zenodo","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"https://metabolomics-usi.ucsd.edu/","name":"Metabolomics Spectrum Identifier Resolver Release 6.8"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011839","name":"re3data:r3d100011839","portal":"re3data"}],"data_access_condition":{"url":"https://massbank.eu/MassBank/About","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://massbank.github.io/MassBank-documentation/contributor_documentation.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000827","bsg-d000827"],"name":"FAIRsharing record for: MassBank Europe","abbreviation":"MassBank","url":"https://fairsharing.org/10.25504/FAIRsharing.dk451a","doi":"10.25504/FAIRsharing.dk451a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MassBank is an open source mass spectral library for the identification of small chemical molecules of metabolomics, exposomics and environmental relevance. The vast majority of MassBank contents now features high-resolution mass spectrometry data, although all kinds of mass spectral data are accepted. ","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11542},{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17777}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry","Life Science","Physics"],"domains":["Mass spectrum"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","European Union"],"publications":[{"id":1704,"pubmed_id":20623627,"title":"MassBank: a public repository for sharing mass spectral data for life sciences.","year":2010,"url":"http://doi.org/10.1002/jms.1777","authors":"Horai H et al.","journal":"J Mass Spectrom","doi":"10.1002/jms.1777","created_at":"2021-09-30T08:25:30.962Z","updated_at":"2021-09-30T08:25:30.962Z"}],"licence_links":[],"grants":[{"id":2331,"fairsharing_record_id":2349,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:25:40.293Z","updated_at":"2021-09-30T09:25:40.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2334,"fairsharing_record_id":2349,"organisation_id":1701,"relation":"funds","created_at":"2021-09-30T09:25:40.372Z","updated_at":"2021-09-30T09:25:40.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":1701,"name":"Leibniz Institute of Plant Biochemistry, Halle, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2330,"fairsharing_record_id":2349,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:25:40.260Z","updated_at":"2021-09-30T09:25:40.260Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2333,"fairsharing_record_id":2349,"organisation_id":2178,"relation":"maintains","created_at":"2021-09-30T09:25:40.343Z","updated_at":"2021-09-30T09:25:40.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":2178,"name":"NORMAN network","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":11525,"fairsharing_record_id":2349,"organisation_id":1378,"relation":"funds","created_at":"2024-03-21T13:58:01.587Z","updated_at":"2024-03-21T13:58:01.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":1378,"name":"Institute for Bioinformatics Research and Development, Japan Science and Technology Agency","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9339,"fairsharing_record_id":2349,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.528Z","updated_at":"2022-04-11T12:07:31.547Z","grant_id":1756,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031L0107","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--81efbd13c46e704e94fbe97fb612796d4f2963bd/Screenshot%20from%202024-03-27%2021-44-45.png?disposition=inline","exhaustive_licences":false}},{"id":"2350","type":"fairsharing_records","attributes":{"created_at":"2016-10-21T15:24:30.000Z","updated_at":"2023-12-15T10:33:09.313Z","metadata":{"doi":"10.25504/FAIRsharing.jhjnp0","name":"Database of local DNA conformers","status":"ready","contacts":[{"contact_name":"Daniel Svozil","contact_email":"daniel.svozil@vscht.cz","contact_orcid":"0000-0003-2577-5163"}],"homepage":"http://ich.vscht.cz/projects/dolce/viewHome","citations":[],"identifier":2350,"description":"Dolce is a database of DNA structure motifs based on an automatic classification method consisting of the combination of supervised and unsupervised approaches. This workflow has been applied to analyze 816 X-ray and 664 NMR DNA structures released till February 2013. Dinucleotides with unassigned conformations are either classified into one of already known 24 classes or into one of six new classes among so far unclassifiable data, which were newly identified and annotated among X-ray structures by authors of this tool.","abbreviation":"Dolce","data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"no","data_access_condition":{"url":"https://smlouvy.gov.cz/smlouva/soubor/8815411/Dodatek1SML5200001015.pdf","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000828","bsg-d000828"],"name":"FAIRsharing record for: Database of local DNA conformers","abbreviation":"Dolce","url":"https://fairsharing.org/10.25504/FAIRsharing.jhjnp0","doi":"10.25504/FAIRsharing.jhjnp0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dolce is a database of DNA structure motifs based on an automatic classification method consisting of the combination of supervised and unsupervised approaches. This workflow has been applied to analyze 816 X-ray and 664 NMR DNA structures released till February 2013. Dinucleotides with unassigned conformations are either classified into one of already known 24 classes or into one of six new classes among so far unclassifiable data, which were newly identified and annotated among X-ray structures by authors of this tool.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1667,"pubmed_id":23800225,"title":"Automatic workflow for the classification of local DNA conformations.","year":2013,"url":"http://doi.org/10.1186/1471-2105-14-205","authors":"Cech P,Kukal J,Cerny J,Schneider B,Svozil D","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-14-205","created_at":"2021-09-30T08:25:26.737Z","updated_at":"2021-09-30T08:25:26.737Z"}],"licence_links":[],"grants":[{"id":8062,"fairsharing_record_id":2350,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:30:43.204Z","updated_at":"2021-09-30T09:30:43.262Z","grant_id":838,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"MSM 6046137306","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2335,"fairsharing_record_id":2350,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:25:40.412Z","updated_at":"2021-09-30T09:30:43.040Z","grant_id":837,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"MSM 6046137302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2336,"fairsharing_record_id":2350,"organisation_id":633,"relation":"funds","created_at":"2021-09-30T09:25:40.444Z","updated_at":"2021-09-30T09:32:20.680Z","grant_id":1576,"is_lead":false,"saved_state":{"id":633,"name":"Czech Science Foundation (GACR), Czech Republic","grant":"P305/12/1801","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2351","type":"fairsharing_records","attributes":{"created_at":"2016-10-21T17:32:37.000Z","updated_at":"2023-12-15T10:33:04.686Z","metadata":{"doi":"10.25504/FAIRsharing.pcs58g","name":"GrainGenes, a Database for Triticeae and Avena","status":"ready","contacts":[{"contact_name":"GrainGenes Feedback","contact_email":"curator@wheat.pw.usda.gov"}],"homepage":"https://wheat.pw.usda.gov/GG3/","citations":[{"doi":"10.1093/database/baac034","pubmed_id":null,"publication_id":3888}],"identifier":2351,"description":"The GrainGenes website hosts a wealth of information for researchers working on Triticeae species, oat and their wild relatives. The website hosts a database encompassing information such as genetic maps, genes, alleles, genetic markers, phenotypic data, quantitative trait loci studies, experimental protocols and publications. The database can be queried by text searches, browsing, Boolean queries, MySQL commands, or by using pre-made queries created by the curators. GrainGenes is not solely a database, but serves as an informative site for researchers and a means to communicate project aims, outcomes and a forum for discussion.","abbreviation":"GrainGenes","data_curation":{"url":"https://wheat.pw.usda.gov/GG3/about","type":"manual/automated"},"support_links":[{"url":"http://wheat.pw.usda.gov/GG3/feedback/","type":"Help documentation"},{"url":"http://graingenes.org/grains.welcome.html","type":"Mailing list"},{"url":"http://wheat.pw.usda.gov/GG3/db-info","type":"Help documentation"}],"year_creation":1992,"data_versioning":"yes","associated_tools":[{"url":"http://probes.pw.usda.gov/GSP/","name":"GSP: Genome Specific Primers"},{"url":"http://wheat.pw.usda.gov/GG3/blast","name":"BLAST 2.2.23"},{"url":"http://wheat.pw.usda.gov/cmap/","name":"CMap 1.01"},{"url":"http://wheat.pw.usda.gov/GG3/genome_browser","name":"JBrowse Genome Browser 1.69"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012363","name":"re3data:r3d100012363","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007696","name":"SciCrunch:RRID:SCR_007696","portal":"SciCrunch"}],"data_access_condition":{"url":"https://graingenes.org/GG3/graingenes-data-downloads","type":"open"},"resource_sustainability":{"url":"https://wheat.pw.usda.gov/GG3/about","name":"Funded by the U.S. Department of Agriculture-Agricultural Research Service to ensure long-term data sustainability."},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://wheat.pw.usda.gov/GG3/submit_to_graingenes","type":"open","notes":"The Small Grains Community is invited to submit data and images."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000829","bsg-d000829"],"name":"FAIRsharing record for: GrainGenes, a Database for Triticeae and Avena","abbreviation":"GrainGenes","url":"https://fairsharing.org/10.25504/FAIRsharing.pcs58g","doi":"10.25504/FAIRsharing.pcs58g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GrainGenes website hosts a wealth of information for researchers working on Triticeae species, oat and their wild relatives. The website hosts a database encompassing information such as genetic maps, genes, alleles, genetic markers, phenotypic data, quantitative trait loci studies, experimental protocols and publications. The database can be queried by text searches, browsing, Boolean queries, MySQL commands, or by using pre-made queries created by the curators. GrainGenes is not solely a database, but serves as an informative site for researchers and a means to communicate project aims, outcomes and a forum for discussion.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11622},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11873}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science","Phenomics"],"domains":["Genetic map","Physical map","Genome map","Deoxyribonucleic acid","Publication","Genetic polymorphism","Protocol","Quantitative trait loci","Allele"],"taxonomies":["Aegilops tauschii","Avena","Hordeum","Hordeum vulgare","Secale","Triticeae","Triticum","Triticum aestivum","Triticum monococcum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":790,"pubmed_id":null,"title":"GrainGenes: a Genomic Database for Triticeae and Avena","year":2007,"url":"http://doi.org/10.1007/978-1-59745-535-0_14","authors":"Helen O'Sullivan","journal":"Plant Bioinformatics","doi":"10.1007/978-1-59745-535-0_14","created_at":"2021-09-30T08:23:47.070Z","updated_at":"2021-09-30T08:23:47.070Z"},{"id":1769,"pubmed_id":null,"title":"GrainGenes 2.0. An Improved Resource for the Small-Grains Community","year":2005,"url":"https://academic.oup.com/plphys/article/139/2/643/6113422","authors":"Victoria Carollo, David E. Matthews, Gerard R. Lazo, Thomas K. Blake, David D. Hummel, Nancy Lui, David L. Hane, and Olin D. Anderson","journal":"Plant Physiology","doi":"10.1104/pp.105.064485","created_at":"2021-09-30T08:25:38.494Z","updated_at":"2021-09-30T08:25:38.494Z"},{"id":3888,"pubmed_id":null,"title":"GrainGenes: a data-rich repository for small grains genetics and genomics","year":2022,"url":"http://dx.doi.org/10.1093/database/baac034","authors":"Yao, Eric; Blake, Victoria C; Cooper, Laurel; Wight, Charlene P; Michel, Steve; Cagirici, H Busra; Lazo, Gerard R; Birkett, Clay L; Waring, David J; Jannink, Jean-Luc; Holmes, Ian; Waters, Amanda J; Eickholt, David P; Sen, Taner Z; ","journal":"Database","doi":"10.1093/database/baac034","created_at":"2023-06-05T09:03:00.246Z","updated_at":"2023-06-05T09:03:00.246Z"}],"licence_links":[],"grants":[{"id":2337,"fairsharing_record_id":2351,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:40.482Z","updated_at":"2021-09-30T09:25:40.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2352","type":"fairsharing_records","attributes":{"created_at":"2016-10-25T09:58:43.000Z","updated_at":"2024-03-20T13:00:20.023Z","metadata":{"doi":"10.25504/FAIRsharing.sv2rm8","name":"TissueNet ","status":"ready","contacts":[{"contact_name":"Esti Yeger-L","contact_email":"estiyl@bgu.ac.il","contact_orcid":"0000-0002-8279-7898"}],"homepage":"https://netbio.bgu.ac.il/tissuenet3/","citations":[{"doi":"10.1016/j.jmb.2022.167532","pubmed_id":35662455,"publication_id":3827}],"identifier":2352,"description":"Knowledge of the molecular interactions of human proteins within tissues is important for identifying their tissue-specific roles and for shedding light on tissue phenotypes. However, many protein-protein interactions (PPIs) have no tissue-contexts. The TissueNet database bridges this gap by associating experimentally-identified PPIs with human tissues that were shown to express both pair-mates. Users can select a protein and a tissue, and obtain a network view of the query protein and its tissue-associated PPIs. TissueNet v.2 is an updated version of the TissueNet database previously featured in NAR. It includes over 40 human tissues profiled via RNA-sequencing or protein-based assays. Users can select their preferred expression data source and interactively set the expression threshold for determining tissue-association. The output of TissueNet v.2 underlines qualitative and quantitative features of query proteins and their PPIs. The tissue-specificity view highlights tissue-specific and globally-expressed proteins, and the quantitative view highlights proteins that were differentially expressed in the selected tissue relative to all other tissues. Together, these views allow users to quickly assess the unique versus global functionality of query proteins. Thus, TissueNet v.2 offers an extensive, quantitative and user-friendly interface to study the roles of human proteins across tissues.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://netbio.bgu.ac.il/tissuenet3/#FAQ","name":"Database FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://netbio.bgu.ac.il/labwebsite/the-tissuenet-v-3-database-tutorial/","name":"Tutorial","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000831","bsg-d000831"],"name":"FAIRsharing record for: TissueNet ","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.sv2rm8","doi":"10.25504/FAIRsharing.sv2rm8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Knowledge of the molecular interactions of human proteins within tissues is important for identifying their tissue-specific roles and for shedding light on tissue phenotypes. However, many protein-protein interactions (PPIs) have no tissue-contexts. The TissueNet database bridges this gap by associating experimentally-identified PPIs with human tissues that were shown to express both pair-mates. Users can select a protein and a tissue, and obtain a network view of the query protein and its tissue-associated PPIs. TissueNet v.2 is an updated version of the TissueNet database previously featured in NAR. It includes over 40 human tissues profiled via RNA-sequencing or protein-based assays. Users can select their preferred expression data source and interactively set the expression threshold for determining tissue-association. The output of TissueNet v.2 underlines qualitative and quantitative features of query proteins and their PPIs. The tissue-specificity view highlights tissue-specific and globally-expressed proteins, and the quantitative view highlights proteins that were differentially expressed in the selected tissue relative to all other tissues. Together, these views allow users to quickly assess the unique versus global functionality of query proteins. Thus, TissueNet v.2 offers an extensive, quantitative and user-friendly interface to study the roles of human proteins across tissues.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Protein interaction","Protein expression","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":1713,"pubmed_id":23193266,"title":"The TissueNet database of human tissue protein-protein interactions.","year":2012,"url":"http://doi.org/10.1093/nar/gks1198","authors":"Ruth Barshir, Omer Basha, Amir Eluk, Ilan Y. Smoly, Alexander Lan and Esti Yeger-Lotem","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1198","created_at":"2021-09-30T08:25:31.939Z","updated_at":"2021-09-30T08:25:31.939Z"},{"id":3827,"pubmed_id":35662455,"title":"The TissueNet v.3 Database: Protein-protein Interactions in Adult and Embryonic Human Tissue contexts.","year":2022,"url":"https://doi.org/10.1016/j.jmb.2022.167532","authors":"Ziv M, Gruber G, Sharon M, Vinogradov E, Yeger-Lotem E","journal":"Journal of molecular biology","doi":"10.1016/j.jmb.2022.167532","created_at":"2023-03-24T15:09:59.205Z","updated_at":"2023-03-24T15:09:59.205Z"},{"id":3828,"pubmed_id":null,"title":"The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues","year":2016,"url":"http://dx.doi.org/10.1093/nar/gkw1088","authors":"Basha, Omer; Barshir, Ruth; Sharon, Moran; Lerman, Eugene; Kirson, Binyamin F.; Hekselman, Idan; Yeger-Lotem, Esti; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1088","created_at":"2023-03-24T15:10:29.034Z","updated_at":"2023-03-24T15:10:29.034Z"}],"licence_links":[],"grants":[{"id":2338,"fairsharing_record_id":2352,"organisation_id":200,"relation":"maintains","created_at":"2021-09-30T09:25:40.524Z","updated_at":"2024-03-20T12:54:47.161Z","grant_id":null,"is_lead":true,"saved_state":{"id":200,"name":"Ben-Gurion University of the Negev, Israel","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdndEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7cca2064157b73f8c78f734477b2e1d2e074f8a1/Screenshot%20from%202024-03-20%2012-53-50.png?disposition=inline","exhaustive_licences":false}},{"id":"2366","type":"fairsharing_records","attributes":{"created_at":"2016-11-23T00:12:38.000Z","updated_at":"2023-12-15T10:32:24.986Z","metadata":{"doi":"10.25504/FAIRsharing.pj6a0t","name":"Hepatitis C Virus Ires Variation Database","status":"ready","contacts":[{"contact_email":"info@hcvivdb.org"}],"homepage":"http://www.hcvivdb.org/","identifier":2366,"description":"HCVIVdb is a database of published variations observed within the internal ribosome entry site (IRES) of the hepatitis C Virus.","abbreviation":"HCVIVdb","data_curation":{"type":"not found"},"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"http://www.hcvivdb.org/search.php","name":"Search"},{"url":"http://www.hcvivdb.org/browse.php","name":"Browse"},{"url":"http://www.hcvivdb.org/submit.php","name":"Submit Data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.hcvivdb.org/submit.php","type":"open","notes":"The submit entry feature is currently disabled. It will be enabled on full release and publication of the database."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000845","bsg-d000845"],"name":"FAIRsharing record for: Hepatitis C Virus Ires Variation Database","abbreviation":"HCVIVdb","url":"https://fairsharing.org/10.25504/FAIRsharing.pj6a0t","doi":"10.25504/FAIRsharing.pj6a0t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HCVIVdb is a database of published variations observed within the internal ribosome entry site (IRES) of the hepatitis C Virus.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Computational biological predictions","Promoter","Internal ribosome entry site"],"taxonomies":["Hepatitis C virus"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1855,"pubmed_id":27527702,"title":"HCVIVdb: The hepatitis-C IRES variation database","year":2016,"url":"http://doi.org/10.1186/s12866-016-0804-6","authors":"Floden E.W., Khavaja A., Vopálenský V., Pospíšek M.","journal":"BMC Microbiology","doi":"10.1186/s12866-016-0804-6","created_at":"2021-09-30T08:25:48.398Z","updated_at":"2021-09-30T08:25:48.398Z"}],"licence_links":[],"grants":[{"id":2373,"fairsharing_record_id":2366,"organisation_id":840,"relation":"funds","created_at":"2021-09-30T09:25:41.778Z","updated_at":"2021-09-30T09:25:41.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2372,"fairsharing_record_id":2366,"organisation_id":1680,"relation":"maintains","created_at":"2021-09-30T09:25:41.752Z","updated_at":"2021-09-30T09:25:41.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":1680,"name":"Laboratory of RNA Biochemistry, Department of Genetics and Microbiology, Prague, Czech Republic","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2338","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T09:29:53.000Z","updated_at":"2023-06-09T06:55:54.978Z","metadata":{"doi":"10.25504/FAIRsharing.x6nr7d","name":"Tropical Data Hub","status":"deprecated","contacts":[{"contact_name":"Belinda Weaver","contact_email":"b.weaver@qcif.edu.au"}],"homepage":"https://tropicaldatahub.org/","citations":[],"identifier":2338,"description":"The Tropical Data Hub (TDH) is an open portal enabling researchers to submit information relating to the tropics in an open and collaborative way. The TDH complements existing data repositories and will come to be acknowledged as the definitive source of information relating to the tropics, both within Australia and internationally. The information available through within the TDH relates to the physical and natural environment, societies and communities (e.g. linguistic and cultural data), and economies. The use of metadata will ensure that the TDH is readily accessible to governments, researchers and the business sector.","abbreviation":"TDH","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2023-06-08","deprecation_reason":"This resource has been deprecated. However, the TDH provided metadata harvesting to RDA, and that information is still available from the RDA. All DOIs now resolve to landing pages in Research Data JCU, but currently there is no publicly-searchable data portal.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000816","bsg-d000816"],"name":"FAIRsharing record for: Tropical Data Hub","abbreviation":"TDH","url":"https://fairsharing.org/10.25504/FAIRsharing.x6nr7d","doi":"10.25504/FAIRsharing.x6nr7d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Tropical Data Hub (TDH) is an open portal enabling researchers to submit information relating to the tropics in an open and collaborative way. The TDH complements existing data repositories and will come to be acknowledged as the definitive source of information relating to the tropics, both within Australia and internationally. The information available through within the TDH relates to the physical and natural environment, societies and communities (e.g. linguistic and cultural data), and economies. The use of metadata will ensure that the TDH is readily accessible to governments, researchers and the business sector.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11251}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Population Genetics"],"domains":["Tropical","Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":2308,"fairsharing_record_id":2338,"organisation_id":1583,"relation":"maintains","created_at":"2021-09-30T09:25:39.433Z","updated_at":"2021-09-30T09:25:39.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":1583,"name":"James Cook University, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2307,"fairsharing_record_id":2338,"organisation_id":2394,"relation":"funds","created_at":"2021-09-30T09:25:39.410Z","updated_at":"2021-09-30T09:25:39.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":2394,"name":"Queensland Cyber Infrastructure Foundation (QCIF), Australia","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2309,"fairsharing_record_id":2338,"organisation_id":142,"relation":"maintains","created_at":"2021-09-30T09:25:39.458Z","updated_at":"2021-09-30T09:25:39.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":142,"name":"Australian National Data Service (ANDS), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2339","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T09:59:11.000Z","updated_at":"2023-03-14T16:06:30.936Z","metadata":{"doi":"10.25504/FAIRsharing.pt7qd6","name":"Banana21","status":"deprecated","contacts":[{"contact_name":"Contact enquiries","contact_email":"ctcbenquiries@qut.edu.au"}],"homepage":"http://www.banana21.org/","citations":[],"identifier":2339,"description":"The vast majority of the bananas currently grown and consumed were not conventionally bred but are selections made over probably thousands of years from naturally occurring hybrids. Cultivated bananas are very nearly sterile and as a consequence are not propagated from seed but rather through vegetative propagation, primarily suckers as well as more recently micropropagated or tissue cultured bananas. These factors, very old selections, near sterility and vegetative propagation, mean that these bananas have not been genetically improved either for resistance or improved quality and are becoming increasing in affected by serious pests and diseases.","abbreviation":"Banana21","data_curation":{"type":"not found"},"support_links":[{"url":"http://sefapps02.qut.edu.au/helppage/helppage.php","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is now a project homepage, and as such is not within our remit.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000817","bsg-d000817"],"name":"FAIRsharing record for: Banana21","abbreviation":"Banana21","url":"https://fairsharing.org/10.25504/FAIRsharing.pt7qd6","doi":"10.25504/FAIRsharing.pt7qd6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The vast majority of the bananas currently grown and consumed were not conventionally bred but are selections made over probably thousands of years from naturally occurring hybrids. Cultivated bananas are very nearly sterile and as a consequence are not propagated from seed but rather through vegetative propagation, primarily suckers as well as more recently micropropagated or tissue cultured bananas. These factors, very old selections, near sterility and vegetative propagation, mean that these bananas have not been genetically improved either for resistance or improved quality and are becoming increasing in affected by serious pests and diseases.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11252}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Agriculture"],"domains":["Food"],"taxonomies":["Musa","Musa acuminata","Musa balbisiana"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1653,"pubmed_id":23555698,"title":"De novo transcriptome sequence assembly and analysis of RNA silencing genes of Nicotiana benthamiana.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0059534","authors":"Nakasugi K,Crowhurst RN,Bally J,Wood CC,Hellens RP,Waterhouse PM","journal":"PLoS One","doi":"10.1371/journal.pone.0059534","created_at":"2021-09-30T08:25:25.195Z","updated_at":"2021-09-30T08:25:25.195Z"}],"licence_links":[{"licence_name":"Queensland University of Technology Copyright Statement","licence_id":695,"licence_url":"https://www.qut.edu.au/additional/copyright","link_id":1363,"relation":"undefined"}],"grants":[{"id":2310,"fairsharing_record_id":2339,"organisation_id":2396,"relation":"maintains","created_at":"2021-09-30T09:25:39.489Z","updated_at":"2021-09-30T09:25:39.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":2396,"name":"Queensland University of Technology (QUT), Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2340","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T10:06:22.000Z","updated_at":"2023-06-23T10:35:07.733Z","metadata":{"doi":"10.25504/FAIRsharing.d1cs3q","name":"BenthGenome","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"ctcbenquiries@qut.edu.au"}],"homepage":"http://benthgenome.qut.edu.au/","identifier":2340,"description":"Nicotiana benthamiana originates from the remote regions of northern Australia. It is used extensively in laboratories around the world for many types of research including metabolic engineering, plant-microbe interactions, RNAi, vaccine production and functional genomics. This site aims to provide easy access to our latest genome and transcriptome assemblies of both laboratory and wild strains of Nicotiana benthamiana.","abbreviation":"BenthGenome","data_curation":{"type":"not found"},"support_links":[{"url":"http://sefapps02.qut.edu.au/helppage/helppage.php","name":"Help Pages","type":"Help documentation"},{"url":"http://sefapps02.qut.edu.au/benWeb/subpages/strategy.php","name":"Information Pages","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"http://sefapps02.qut.edu.au/blast/blast_link.cgi","name":"BLAST Version 5"},{"url":"http://sefapps02.qut.edu.au/blast/blast_link2.cgi","name":"BLAST Version 6"},{"url":"http://sefapps02.qut.edu.au/atlas/tREX6.php","name":"Gene Expression Atlas 6"},{"url":"http://sefapps02.qut.edu.au/babelfish/babelfish_gI.php","name":"Benth Babelfish"},{"url":"http://benthgenome.qut.edu.au/tools/toolpage.php","name":"Benth Toolkit"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"controlled","notes":"Restricted to people from QUT and associates"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000818","bsg-d000818"],"name":"FAIRsharing record for: BenthGenome","abbreviation":"BenthGenome","url":"https://fairsharing.org/10.25504/FAIRsharing.d1cs3q","doi":"10.25504/FAIRsharing.d1cs3q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Nicotiana benthamiana originates from the remote regions of northern Australia. It is used extensively in laboratories around the world for many types of research including metabolic engineering, plant-microbe interactions, RNAi, vaccine production and functional genomics. This site aims to provide easy access to our latest genome and transcriptome assemblies of both laboratory and wild strains of Nicotiana benthamiana.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11253},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12760}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genomics","Life Science","Transcriptomics"],"domains":["RNA interference","Vaccine"],"taxonomies":["Nicotiana benthamiana"],"user_defined_tags":["Plant-microbe interactions"],"countries":["Australia","New Zealand"],"publications":[{"id":1653,"pubmed_id":23555698,"title":"De novo transcriptome sequence assembly and analysis of RNA silencing genes of Nicotiana benthamiana.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0059534","authors":"Nakasugi K,Crowhurst RN,Bally J,Wood CC,Hellens RP,Waterhouse PM","journal":"PLoS One","doi":"10.1371/journal.pone.0059534","created_at":"2021-09-30T08:25:25.195Z","updated_at":"2021-09-30T08:25:25.195Z"},{"id":1963,"pubmed_id":28231340,"title":"The widely used Nicotiana benthamiana 16c line has an unusual T-DNA integration pattern including a transposon sequence.","year":2017,"url":"http://doi.org/10.1371/journal.pone.0171311","authors":"Philips JG,Naim F,Lorenc MT,Dudley KJ,Hellens RP,Waterhouse PM","journal":"PLoS One","doi":"10.1371/journal.pone.0171311","created_at":"2021-09-30T08:26:00.907Z","updated_at":"2021-09-30T08:26:00.907Z"}],"licence_links":[{"licence_name":"Copyright Queensland University of Technology","licence_id":149,"licence_url":"http://www.banana21.org/about.html","link_id":1365,"relation":"undefined"}],"grants":[{"id":2311,"fairsharing_record_id":2340,"organisation_id":2396,"relation":"maintains","created_at":"2021-09-30T09:25:39.531Z","updated_at":"2021-09-30T09:25:39.531Z","grant_id":null,"is_lead":false,"saved_state":{"id":2396,"name":"Queensland University of Technology (QUT), Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2312,"fairsharing_record_id":2340,"organisation_id":2751,"relation":"maintains","created_at":"2021-09-30T09:25:39.572Z","updated_at":"2021-09-30T09:25:39.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":2751,"name":"The Centre for Tropical Crops and Biocommodities, Queensland University of Technology (QUT)","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2341","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T11:36:30.000Z","updated_at":"2023-12-15T10:31:23.587Z","metadata":{"doi":"10.25504/FAIRsharing.8yqqm4","name":"WheatGenome.info","status":"ready","contacts":[{"contact_name":"Dave Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://www.wheatgenome.info/wheat_genome_databases.php","identifier":2341,"description":"An integrated database and portal for wheat genome information.","abbreviation":"WheatGenome.info","data_curation":{"type":"manual/automated"},"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000819","bsg-d000819"],"name":"FAIRsharing record for: WheatGenome.info","abbreviation":"WheatGenome.info","url":"https://fairsharing.org/10.25504/FAIRsharing.8yqqm4","doi":"10.25504/FAIRsharing.8yqqm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated database and portal for wheat genome information.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11254}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Triticum"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1646,"pubmed_id":22009731,"title":"WheatGenome.info: an integrated database and portal for wheat genome information.","year":2011,"url":"http://doi.org/10.1093/pcp/pcr141","authors":"Lai K,Berkman PJ,Lorenc MT,Duran C,Smits L,Manoli S,Stiller J,Edwards D","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcr141","created_at":"2021-09-30T08:25:24.379Z","updated_at":"2021-09-30T08:25:24.379Z"}],"licence_links":[],"grants":[{"id":2315,"fairsharing_record_id":2341,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:25:39.676Z","updated_at":"2021-09-30T09:25:39.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2313,"fairsharing_record_id":2341,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:25:39.611Z","updated_at":"2021-09-30T09:25:39.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2314,"fairsharing_record_id":2341,"organisation_id":828,"relation":"maintains","created_at":"2021-09-30T09:25:39.645Z","updated_at":"2021-09-30T09:25:39.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":828,"name":"Edwards Group, University of Western Australia, Perth, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2342","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T14:44:06.000Z","updated_at":"2023-07-11T07:35:51.580Z","metadata":{"doi":"10.25504/FAIRsharing.p7btsb","name":"CropPAL","status":"deprecated","contacts":[{"contact_name":"Dave Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://crop-pal.org/","citations":[],"identifier":2342,"description":"The compendium of crop Proteins with Annotated Locations (cropPAL) collates more than 550 data sets from previously published fluorescent tagging or mass spectrometry studies and eight pre-computed subcellular predictions for barley, wheat, rice and maize proteomes. The data collection including metadata for proteins and studies can be accessed through the search portal. The reciprocal blast and EnsemblPLants homology tree allows the search for location data across the four crop species as well as compares it to Arabidopsis data from SUBA.\n","abbreviation":"CropPAL","data_curation":{"url":"https://croppal.org/aboutcropPAL2.html","type":"manual/automated"},"support_links":[{"url":"http://crop-pal.org/Tutorialv1.2.pdf","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011637","name":"re3data:r3d100011637","portal":"re3data"}],"deprecation_date":"2023-07-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000820","bsg-d000820"],"name":"FAIRsharing record for: CropPAL","abbreviation":"CropPAL","url":"https://fairsharing.org/10.25504/FAIRsharing.p7btsb","doi":"10.25504/FAIRsharing.p7btsb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The compendium of crop Proteins with Annotated Locations (cropPAL) collates more than 550 data sets from previously published fluorescent tagging or mass spectrometry studies and eight pre-computed subcellular predictions for barley, wheat, rice and maize proteomes. The data collection including metadata for proteins and studies can be accessed through the search portal. The reciprocal blast and EnsemblPLants homology tree allows the search for location data across the four crop species as well as compares it to Arabidopsis data from SUBA.\n","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11255}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Agriculture"],"domains":["Mass spectrum","Cellular localization","Protein"],"taxonomies":["Hordeum vulgare","Oryza sativa","Triticum aestivum","Zea mays"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1658,"pubmed_id":26556651,"title":"Finding the Subcellular Location of Barley, Wheat, Rice and Maize Proteins: The Compendium of Crop Proteins with Annotated Locations (cropPAL).","year":2015,"url":"http://doi.org/10.1093/pcp/pcv170","authors":"Hooper CM,Castleden IR,Aryamanesh N,Jacoby RP,Millar AH","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcv170","created_at":"2021-09-30T08:25:25.711Z","updated_at":"2021-09-30T08:25:25.711Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":371,"relation":"undefined"}],"grants":[{"id":2318,"fairsharing_record_id":2342,"organisation_id":828,"relation":"maintains","created_at":"2021-09-30T09:25:39.773Z","updated_at":"2021-09-30T09:25:39.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":828,"name":"Edwards Group, University of Western Australia, Perth, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2316,"fairsharing_record_id":2342,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:39.701Z","updated_at":"2021-09-30T09:25:39.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2317,"fairsharing_record_id":2342,"organisation_id":106,"relation":"funds","created_at":"2021-09-30T09:25:39.730Z","updated_at":"2021-09-30T09:25:39.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":106,"name":"ARC Centres of Excellence","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2319,"fairsharing_record_id":2342,"organisation_id":142,"relation":"maintains","created_at":"2021-09-30T09:25:39.810Z","updated_at":"2021-09-30T09:25:39.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":142,"name":"Australian National Data Service (ANDS), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2343","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T15:03:45.000Z","updated_at":"2023-12-15T10:32:42.029Z","metadata":{"doi":"10.25504/FAIRsharing.kvee9e","name":"Chickpea Portal","status":"ready","contacts":[{"contact_name":"Dave Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://www.cicer.info/databases.php","identifier":2343,"description":"This resource contains genome and gene sequences, features and isolationed chromosome alignments, while functional annotation can be searched in GBrowse. Chickpea forms a critical component of the Australian and Indian farming system, offering offer a high value alternative to cereals, an important disease break, opportunities for grass weed control and respite from high nitrogen application.","abbreviation":"Chickpea Portal","data_curation":{"url":"http://www.cicer.info/databases.php","type":"automated","notes":"The genome is functionnally annotated."},"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"http://www.cicer.info/cgi-bin/gb2/gbrowse/","name":"Chickpea GBrowse"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000821","bsg-d000821"],"name":"FAIRsharing record for: Chickpea Portal","abbreviation":"Chickpea Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.kvee9e","doi":"10.25504/FAIRsharing.kvee9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource contains genome and gene sequences, features and isolationed chromosome alignments, while functional annotation can be searched in GBrowse. Chickpea forms a critical component of the Australian and Indian farming system, offering offer a high value alternative to cereals, an important disease break, opportunities for grass weed control and respite from high nitrogen application.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11256}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics"],"domains":["DNA sequence data","Annotation","Genome"],"taxonomies":["Cicer arietinum"],"user_defined_tags":[],"countries":["Australia","India"],"publications":[],"licence_links":[],"grants":[{"id":2321,"fairsharing_record_id":2343,"organisation_id":136,"relation":"funds","created_at":"2021-09-30T09:25:39.890Z","updated_at":"2021-09-30T09:25:39.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":136,"name":"Australia-India Strategic Research Fund (AISRF), Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2320,"fairsharing_record_id":2343,"organisation_id":828,"relation":"maintains","created_at":"2021-09-30T09:25:39.848Z","updated_at":"2021-09-30T09:25:39.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":828,"name":"Edwards Group, University of Western Australia, Perth, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2322,"fairsharing_record_id":2343,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:25:39.931Z","updated_at":"2021-09-30T09:25:39.931Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2344","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T15:13:46.000Z","updated_at":"2023-12-15T10:31:35.157Z","metadata":{"doi":"10.25504/FAIRsharing.mzk12n","name":"Brassica Genome","status":"ready","contacts":[{"contact_name":"Dave Andrews","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://www.brassicagenome.net/details.php","identifier":2344,"description":"This site hosts Brassica genome databases.","abbreviation":"Brassica Genome","data_curation":{"url":"http://www.brassicagenome.net/databases.php","type":"automated","notes":"All genomes are automatically annotated."},"year_creation":2010,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000822","bsg-d000822"],"name":"FAIRsharing record for: Brassica Genome","abbreviation":"Brassica Genome","url":"https://fairsharing.org/10.25504/FAIRsharing.mzk12n","doi":"10.25504/FAIRsharing.mzk12n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This site hosts Brassica genome databases.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11257}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Brassica"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1659,"pubmed_id":21873998,"title":"The genome of the mesopolyploid crop species Brassica rapa.","year":2011,"url":"http://doi.org/10.1038/ng.919","authors":"Wang X,Wang H,Wang J,Sun R,Wu J,Liu S,Bai Y,Mun JH,Bancroft I,Cheng F,Huang S,Li X,Hua W,Wang J,Wang X,Freeling M,Pires JC,Paterson AH,Chalhoub B,Wang B,Hayward A,Sharpe AG,Park BS,Weisshaar B,Liu B,Li B,Liu B,Tong C,Song C,Duran C,Peng C,Geng C,Koh C,Lin C,Edwards D,Mu D,Shen D,Soumpourou E,Li F,Fraser F,Conant G,Lassalle G,King GJ,Bonnema G,Tang H,Wang H,Belcram H,Zhou H,Hirakawa H,Abe H,Guo H,Wang H,Jin H,Parkin IA,Batley J,Kim JS,Just J,Li J,Xu J,Deng J,Kim JA,Li J,Yu J,Meng J,Wang J,Min J,Poulain J,Wang J,Hatakeyama K,Wu K,Wang L,Fang L,Trick M,Links MG,Zhao M,Jin M,Ramchiary N,Drou N,Berkman PJ,Cai Q,Huang Q,Li R,Tabata S,Cheng S,Zhang S,Zhang S,Huang S,Sato S,Sun S,Kwon SJ,Choi SR,Lee TH,Fan W,Zhao X,Tan X,Xu X,Wang Y,Qiu Y,Yin Y,Li Y,Du Y,Liao Y,Lim Y,Narusaka Y,Wang Y,Wang Z,Li Z,Wang Z,Xiong Z,Zhang Z","journal":"Nat Genet","doi":"10.1038/ng.919","created_at":"2021-09-30T08:25:25.829Z","updated_at":"2021-09-30T08:25:25.829Z"}],"licence_links":[],"grants":[{"id":2324,"fairsharing_record_id":2344,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:25:40.011Z","updated_at":"2021-09-30T09:25:40.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2323,"fairsharing_record_id":2344,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:25:39.973Z","updated_at":"2021-09-30T09:25:39.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2354","type":"fairsharing_records","attributes":{"created_at":"2016-10-28T18:46:21.000Z","updated_at":"2023-12-15T10:32:37.346Z","metadata":{"doi":"10.25504/FAIRsharing.9dbmwg","name":"Comprehensive Antibiotic Resistance Database","status":"ready","contacts":[{"contact_name":"Andrew McArthur","contact_email":"card@mcmaster.ca","contact_orcid":"0000-0002-1142-3063"}],"homepage":"http://arpcard.mcmaster.ca","identifier":2354,"description":"A bioinformatic database of antimicrobial resistance genes, their products and associated phenotypes.","abbreviation":"CARD","data_curation":{"url":"https://card.mcmaster.ca/","type":"manual","notes":"The CARD is curated by a group of experts in the area of antimicrobial resistance (AMR) and bioinformatics, including consultation with outside experts where needed."},"support_links":[{"url":"https://card.mcmaster.ca/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/arpcard/amr_curation","name":"GitHub curation issues","type":"Github"},{"url":"https://github.com/arpcard/rgi","name":"GitHub software issues","type":"Github"},{"url":"https://github.com/arpcard","name":"GitHub other issues","type":"Github"},{"url":"https://mailman.mcmaster.ca/mailman/listinfo/card-l","type":"Mailing list"},{"url":"https://twitter.com/arpcard","type":"Twitter"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"https://card.mcmaster.ca/analyze/rgi","name":"Resistance Gene Identifier 5.1.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012727","name":"re3data:r3d100012727","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://github.com/arpcard/amr_curation","type":"open","notes":"Only published AMR genes and mutations, with subsequent submission of sequence to GenBank, with clear evidence of elevated MICs can be submitted to CARD."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000833","bsg-d000833"],"name":"FAIRsharing record for: Comprehensive Antibiotic Resistance Database","abbreviation":"CARD","url":"https://fairsharing.org/10.25504/FAIRsharing.9dbmwg","doi":"10.25504/FAIRsharing.9dbmwg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A bioinformatic database of antimicrobial resistance genes, their products and associated phenotypes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Antimicrobial","Phenotype","Amino acid sequence"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1745,"pubmed_id":23650175,"title":"The comprehensive antibiotic resistance database.","year":2013,"url":"http://doi.org/10.1128/AAC.00419-13","authors":"McArthur AG,Waglechner N,Nizam F,Yan A,Azad MA,Baylay AJ,Bhullar K,Canova MJ,De Pascale G,Ejim L,Kalan L,King AM,Koteva K,Morar M,Mulvey MR,O'Brien JS,Pawlowski AC,Piddock LJ,Spanogiannopoulos P,Sutherland AD,Tang I,Taylor PL,Thaker M,Wang W,Yan M,Yu T,Wright GD","journal":"Antimicrob Agents Chemother","doi":"10.1128/AAC.00419-13","created_at":"2021-09-30T08:25:35.830Z","updated_at":"2021-09-30T08:25:35.830Z"}],"licence_links":[{"licence_name":"CARD Copyright and Disclaimer","licence_id":102,"licence_url":"https://card.mcmaster.ca/about","link_id":51,"relation":"undefined"}],"grants":[{"id":2341,"fairsharing_record_id":2354,"organisation_id":2247,"relation":"funds","created_at":"2021-09-30T09:25:40.640Z","updated_at":"2021-09-30T09:25:40.640Z","grant_id":null,"is_lead":false,"saved_state":{"id":2247,"name":"Ontario Research Fund","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2344,"fairsharing_record_id":2354,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:25:40.765Z","updated_at":"2021-09-30T09:25:40.765Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2340,"fairsharing_record_id":2354,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:40.603Z","updated_at":"2021-09-30T09:25:40.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2342,"fairsharing_record_id":2354,"organisation_id":2101,"relation":"funds","created_at":"2021-09-30T09:25:40.682Z","updated_at":"2021-09-30T09:25:40.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2343,"fairsharing_record_id":2354,"organisation_id":667,"relation":"maintains","created_at":"2021-09-30T09:25:40.724Z","updated_at":"2021-09-30T09:25:40.724Z","grant_id":null,"is_lead":false,"saved_state":{"id":667,"name":"Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2345,"fairsharing_record_id":2354,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:40.803Z","updated_at":"2021-09-30T09:25:40.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2355","type":"fairsharing_records","attributes":{"created_at":"2016-10-28T22:16:03.000Z","updated_at":"2023-12-15T10:32:25.709Z","metadata":{"doi":"10.25504/FAIRsharing.yxkdpg","name":"Proteome-pI : proteome isoelectric point database","status":"ready","contacts":[{"contact_name":"Lukasz P. Kozlowski","contact_email":"lukasz.kozlowski.lpk@gmail.com","contact_orcid":"0000-0001-8187-1980"}],"homepage":"http://isoelectricpointdb.org/","identifier":2355,"description":"Proteome-pI is an online database containing information about predicted isoelectric points for 5,029 proteomes (21 million of sequences) calculated using 18 methods. The isoelectric point, the pH at which a particular molecule carries no net electrical charge, is an important parameter for many analytical biochemistry and proteomics techniques, especially for 2D gel electrophoresis (2D-PAGE), capillary isoelectric focusing, liquid chromatography–mass spectrometry and X-ray protein crystallography. The database allows the retrieval of virtual 2D-PAGE plots and the development of customized fractions of proteome based on isoelectric point and molecular weight. Moreover, Proteome-pI facilitates statistical comparisons of the various prediction methods as well as biological investigation of protein isoelectric point space in all kingdoms of life (http://isoelectricpointdb.org/statistics.html). The database includes various statistics and tools for interactive browsing, searching and sorting. It can be searched and browsed by organism name, average isoelectric point, molecular weight or amino acid frequencies. Proteins with extreme pI values are also available. For individual proteomes, users can retrieve proteins of interest given the method, isoelectric point and molecular weight ranges (this particular feature can be highly useful to limit potential targets in analysis of 2DPAGE gels or before conducting mass spectrometry). Finally, some general statistics (total number of proteins, amino acids, average sequence length, amino acid and di-amino acid frequencies) and datasets corresponding to major protein databases such as UniProtKB/TrEMBL and the NCBI non-redundant (nr) database have also been precalculated.","abbreviation":"Proteome-pI","data_curation":{"url":"http://isoelectricpointdb.org/about.html","type":"automated"},"support_links":[{"url":"http://isoelectricpointdb.org/about.html","type":"Help documentation"},{"url":"http://isoelectricpointdb.org/statistics.html","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"http://isoelectric.org","name":"IPC - Isoelectric Point Calculator"},{"url":"http://isoelectricpointdb.org/search.html","name":"Search"},{"url":"http://isoelectricpointdb.org/browse.html","name":"Browse"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000834","bsg-d000834"],"name":"FAIRsharing record for: Proteome-pI : proteome isoelectric point database","abbreviation":"Proteome-pI","url":"https://fairsharing.org/10.25504/FAIRsharing.yxkdpg","doi":"10.25504/FAIRsharing.yxkdpg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Proteome-pI is an online database containing information about predicted isoelectric points for 5,029 proteomes (21 million of sequences) calculated using 18 methods. The isoelectric point, the pH at which a particular molecule carries no net electrical charge, is an important parameter for many analytical biochemistry and proteomics techniques, especially for 2D gel electrophoresis (2D-PAGE), capillary isoelectric focusing, liquid chromatography–mass spectrometry and X-ray protein crystallography. The database allows the retrieval of virtual 2D-PAGE plots and the development of customized fractions of proteome based on isoelectric point and molecular weight. Moreover, Proteome-pI facilitates statistical comparisons of the various prediction methods as well as biological investigation of protein isoelectric point space in all kingdoms of life (http://isoelectricpointdb.org/statistics.html). The database includes various statistics and tools for interactive browsing, searching and sorting. It can be searched and browsed by organism name, average isoelectric point, molecular weight or amino acid frequencies. Proteins with extreme pI values are also available. For individual proteomes, users can retrieve proteins of interest given the method, isoelectric point and molecular weight ranges (this particular feature can be highly useful to limit potential targets in analysis of 2DPAGE gels or before conducting mass spectrometry). Finally, some general statistics (total number of proteins, amino acids, average sequence length, amino acid and di-amino acid frequencies) and datasets corresponding to major protein databases such as UniProtKB/TrEMBL and the NCBI non-redundant (nr) database have also been precalculated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["2D PAGE image","Mass spectrum","X-ray diffraction","Proteome","Isoelectric point","Electrophoresis","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Poland"],"publications":[{"id":1748,"pubmed_id":27789699,"title":"Proteome-pI: proteome isoelectric point database.","year":2016,"url":"http://doi.org/10.1093/nar/gkw978","authors":"Kozlowski LP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw978","created_at":"2021-09-30T08:25:36.171Z","updated_at":"2021-09-30T11:29:19.760Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":1236,"relation":"undefined"}],"grants":[{"id":2346,"fairsharing_record_id":2355,"organisation_id":2390,"relation":"maintains","created_at":"2021-09-30T09:25:40.836Z","updated_at":"2021-09-30T09:25:40.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":2390,"name":"Quantitative and Computational Biology Group, Max Planck Institute for Biophysical Chemistry","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2356","type":"fairsharing_records","attributes":{"created_at":"2016-10-31T13:24:21.000Z","updated_at":"2023-12-15T10:31:36.173Z","metadata":{"doi":"10.25504/FAIRsharing.m03n8s","name":"Reflora Virtual Herbarium","status":"ready","contacts":[{"contact_name":"Rafaela Campostrini Forzza","contact_email":"reflora@jbrj.gov.br"}],"homepage":"http://floradobrasil.jbrj.gov.br/reflora/herbarioVirtual","citations":[],"identifier":2356,"description":"Reflora Virtual Herbarium is a virtual herbarium for images of Brazilian plants housed in foreign herbaria. The Reflora Virtual Herbarium is designed to allow taxonomists to perform similar procedures to the ones they are used to do within physical collections. In this site they will access, rather than physical specimens, high quality images that can be consulted, re-determined and typified, amongst other functionalities. ","abbreviation":"REFLORA","data_curation":{"type":"not found"},"support_links":[{"url":"reflora@jbrj.gov.br","type":"Support email"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://ipt.jbrj.gov.br/reflora/","name":"IPT-REFLORA"},{"url":"http://ipt.jbrj.gov.br/jbrj/","name":"IPT-RB collection"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://floradobrasil.jbrj.gov.br/reflora/herbarioVirtual/ConsultaPublicoHVUC/ConsultaPublicoHVUC.do","type":"open","notes":"Submission requests should be sent to the contact email."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000835","bsg-d000835"],"name":"FAIRsharing record for: Reflora Virtual Herbarium","abbreviation":"REFLORA","url":"https://fairsharing.org/10.25504/FAIRsharing.m03n8s","doi":"10.25504/FAIRsharing.m03n8s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reflora Virtual Herbarium is a virtual herbarium for images of Brazilian plants housed in foreign herbaria. The Reflora Virtual Herbarium is designed to allow taxonomists to perform similar procedures to the ones they are used to do within physical collections. In this site they will access, rather than physical specimens, high quality images that can be consulted, re-determined and typified, amongst other functionalities. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Biodiversity"],"domains":["Taxonomic classification","Bioimaging","Biological sample"],"taxonomies":["Algae","Fungi","Plantae"],"user_defined_tags":[],"countries":["Brazil"],"publications":[{"id":1741,"pubmed_id":null,"title":"HERBÁRIO VIRTUAL REFLORA Rafaela","year":2015,"url":"https://www.researchgate.net/project/Virtual-Herbarium-Reflora","authors":"Rafaela Campostrini Forzza, Fabiana Luiza Ranzato Filardi, João Paulo dos Santos Condack, Marco Antônio Palomares Accardo Filho, Paula Leitman, Silvana Helena Nascimento Monteiro, Vitor Faria Monteiro","journal":"Bioscience","doi":null,"created_at":"2021-09-30T08:25:35.329Z","updated_at":"2021-09-30T11:28:33.068Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":374,"relation":"undefined"}],"grants":[{"id":2347,"fairsharing_record_id":2356,"organisation_id":2412,"relation":"maintains","created_at":"2021-09-30T09:25:40.859Z","updated_at":"2021-09-30T09:25:40.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":2412,"name":"REFLORA Programme","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb1VDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d57cc5ac44cfcc4eb9de7ba3081cb0dad4f11e0c/folhaREFLORA.png?disposition=inline","exhaustive_licences":false}},{"id":"2357","type":"fairsharing_records","attributes":{"created_at":"2016-10-31T15:25:25.000Z","updated_at":"2023-12-15T10:31:26.358Z","metadata":{"doi":"10.25504/FAIRsharing.tw6ecm","name":"LinkProt: A database of proteins with topological links","status":"ready","contacts":[{"contact_name":"Aleksandra Jarmolińska","contact_email":"a.jarmolinska@cent.uw.edu.pl","contact_orcid":"0000-0002-1259-3611"}],"homepage":"http://linkprot.cent.uw.edu.pl/","identifier":2357,"description":"LinkProt collects information about protein chains and complexes that form links. LinkProt detects deterministic links (with loops closed by cysteine), and determines likelihood of formation of links in networks of protein chains called MacroLinks. Links are presented graphically in an intuitive way, using tools that involves surfaces of minimal area spanned on closed loops. The database presents extensive information about biological functions of proteins with links and enables users to analyze new structures.","abbreviation":"LinkProt","data_curation":{"type":"not found"},"support_links":[{"url":"http://linkprot.cent.uw.edu.pl/interpreting","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/apply_results","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/tutorial_single","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/tutorial_browse","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/statistics","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/link_detection","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/link_classification","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/about","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000836","bsg-d000836"],"name":"FAIRsharing record for: LinkProt: A database of proteins with topological links","abbreviation":"LinkProt","url":"https://fairsharing.org/10.25504/FAIRsharing.tw6ecm","doi":"10.25504/FAIRsharing.tw6ecm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LinkProt collects information about protein chains and complexes that form links. LinkProt detects deterministic links (with loops closed by cysteine), and determines likelihood of formation of links in networks of protein chains called MacroLinks. Links are presented graphically in an intuitive way, using tools that involves surfaces of minimal area spanned on closed loops. The database presents extensive information about biological functions of proteins with links and enables users to analyze new structures.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12764}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein-containing complex","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Poland"],"publications":[{"id":1737,"pubmed_id":27794552,"title":"LinkProt: a database collecting information about biological links","year":2016,"url":"http://doi.org/10.1093/nar/gkw976","authors":"Pawel Dabrowski-Tumanski; Aleksandra I. Jarmolinska; Wanda Niemyska; Eric J. Rawdon; Kenneth C. Millett; Joanna I. Sulkowska","journal":"Nucleic Acid Research","doi":"10.1093/nar/gkw976","created_at":"2021-09-30T08:25:34.887Z","updated_at":"2021-09-30T08:25:34.887Z"}],"licence_links":[],"grants":[{"id":2348,"fairsharing_record_id":2357,"organisation_id":1467,"relation":"maintains","created_at":"2021-09-30T09:25:40.884Z","updated_at":"2021-09-30T09:25:40.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":1467,"name":"Interdisciplinary Laboratory of Biological Systems Modelling, Center of New Technology (CeNT), Warsaw, Poland","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2361","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T10:23:44.000Z","updated_at":"2023-12-15T10:28:59.338Z","metadata":{"doi":"10.25504/FAIRsharing.p90p8q","name":"Banana Genome Hub","status":"ready","contacts":[],"homepage":"http://banana-genome-hub.southgreen.fr/","citations":[],"identifier":2361,"description":"The Banana Genome Hub is the official portal for the Musaceae genome resources.","abbreviation":"BGH","data_curation":{"type":"not found"},"support_links":[{"url":"http://banana-genome-hub.southgreen.fr/contact","type":"Contact form"},{"url":"http://banana-genome-hub.southgreen.fr/documentation","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"http://banana-genome-hub.southgreen.fr/advanced","name":"Advanced Search"},{"url":"http://banana-genome-hub.southgreen.fr/convert","name":"Pseudomolecule Version Converter"},{"url":"http://banana-genome-hub.southgreen.fr/primer_designer","name":"Primer Designer"},{"url":"http://banana-genome-hub.southgreen.fr/primer_blaster","name":"Primer Blaster"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://banana-genome-hub.southgreen.fr/content/contributions","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000840","bsg-d000840"],"name":"FAIRsharing record for: Banana Genome Hub","abbreviation":"BGH","url":"https://fairsharing.org/10.25504/FAIRsharing.p90p8q","doi":"10.25504/FAIRsharing.p90p8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Genome Hub is the official portal for the Musaceae genome resources.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11499}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Transcriptomics"],"domains":["Gene Ontology enrichment","Genome annotation","Genome"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2123,"pubmed_id":23707967,"title":"The banana genome hub","year":2013,"url":"http://doi.org/10.1093/database/bat035","authors":"Droc G, Larivière D, Guignon V, Yahiaoui N, This D, Garsmeur O, Dereeper A, Hamelin C, Argout X, Dufayard JF, Lengelle J, Baurens FC, Cenci A, Pitollat B, D'Hont A, Ruiz M, Rouard M, Bocs S.","journal":"database","doi":"10.1093/database/bat035","created_at":"2021-09-30T08:26:19.349Z","updated_at":"2021-09-30T08:26:19.349Z"},{"id":3678,"pubmed_id":null,"title":"The Banana Genome Hub: a community database for genomics in the Musaceae","year":2022,"url":"https://doi.org/10.1093/hr/uhac221","authors":"Gaëtan Droc, Guillaume Martin, Valentin Guignon, Marilyne Summo, Guilhem Sempéré, Eloi Durant, Alexandre Soriano, Franc-Christophe Baurens, Alberto Cenci, Catherine Breton, Trushar Shah, Jean-Marc Aury, Xue-Jun Ge, Pat Heslop Harrison, Nabila Yahiaoui, Angélique D’Hont, Mathieu Rouard","journal":"Horticulture Research","doi":"10.1093/hr/uhac221","created_at":"2022-11-07T15:45:15.258Z","updated_at":"2022-11-07T15:45:15.258Z"}],"licence_links":[],"grants":[{"id":2356,"fairsharing_record_id":2361,"organisation_id":2603,"relation":"maintains","created_at":"2021-09-30T09:25:41.183Z","updated_at":"2022-11-07T15:45:42.418Z","grant_id":null,"is_lead":true,"saved_state":{"id":2603,"name":"South Green","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":2357,"fairsharing_record_id":2361,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:25:41.225Z","updated_at":"2022-11-07T15:45:42.459Z","grant_id":null,"is_lead":true,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2355,"fairsharing_record_id":2361,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:25:41.142Z","updated_at":"2022-11-07T15:45:42.432Z","grant_id":null,"is_lead":true,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2362","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T12:11:38.000Z","updated_at":"2023-12-15T10:30:15.760Z","metadata":{"doi":"10.25504/FAIRsharing.6h8d2r","name":"STOREDB","status":"ready","contacts":[{"contact_name":"Dr Paul Schofield","contact_email":"PNS12@cam.ac.uk","contact_orcid":"0000-0002-5111-7263"}],"homepage":"https://www.storedb.org/store_v3/","citations":[],"identifier":2362,"description":"STOREDB provides infrastructure for sharing data and resources in radiation biology and epidemiology. It is a platform for the archiving and sharing of primary data and outputs of all kinds, including epidemiological and experimental data, from research on the effects of radiation. It also provides a directory of bioresources and databases containing information and materials that investigators are willing to share. STORE supports the creation of a radiation research commons.","abbreviation":"STOREDB","data_curation":{"type":"not found"},"support_links":[{"url":"mg287@cam.ac.uk","type":"Support email"},{"url":"https://www.storedb.org/store_v3/help.jsp","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011049","name":"re3data:r3d100011049","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.storedb.org/store_v3/signin.jsp","type":"open","notes":"Registration required with ORCID"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000841","bsg-d000841"],"name":"FAIRsharing record for: STOREDB","abbreviation":"STOREDB","url":"https://fairsharing.org/10.25504/FAIRsharing.6h8d2r","doi":"10.25504/FAIRsharing.6h8d2r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STOREDB provides infrastructure for sharing data and resources in radiation biology and epidemiology. It is a platform for the archiving and sharing of primary data and outputs of all kinds, including epidemiological and experimental data, from research on the effects of radiation. It also provides a directory of bioresources and databases containing information and materials that investigators are willing to share. STORE supports the creation of a radiation research commons.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12765}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Ecology","Life Science","Biomedical Science","Epidemiology","Preclinical Studies"],"domains":["Cancer","Radiation","Radiotherapy","RNA sequencing","Disease","Radiation effects","Data storage"],"taxonomies":["Canis familiaris","Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Genomic rearrangement"],"countries":["Belgium","France","Germany","Italy","Netherlands","Norway","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Individual licenses based on creative commons are annotated to each dataset","licence_id":436,"licence_url":"https://creativecommons.org/","link_id":2299,"relation":"undefined"}],"grants":[{"id":2360,"fairsharing_record_id":2362,"organisation_id":597,"relation":"maintains","created_at":"2021-09-30T09:25:41.352Z","updated_at":"2021-09-30T09:25:41.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":597,"name":"CONCERT-European Joint Programme for the Integration of Radiation Protection Research","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2359,"fairsharing_record_id":2362,"organisation_id":899,"relation":"funds","created_at":"2021-09-30T09:25:41.308Z","updated_at":"2021-09-30T09:31:38.851Z","grant_id":1265,"is_lead":false,"saved_state":{"id":899,"name":"Euratom","grant":"662287","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2358,"fairsharing_record_id":2362,"organisation_id":332,"relation":"maintains","created_at":"2021-09-30T09:25:41.267Z","updated_at":"2021-09-30T09:25:41.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":332,"name":"Bundesamt Fuer Strahlenschutz (BfS), Salzgitter, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2363","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T16:01:47.000Z","updated_at":"2024-03-21T13:58:53.266Z","metadata":{"doi":"10.25504/FAIRsharing.3me82d","name":"DrugCentral","status":"ready","contacts":[{"contact_name":"Tudor Oprea","contact_email":"toprea@salud.unm.edu","contact_orcid":"0000-0002-6195-6976"}],"homepage":"http://drugcentral.org/","identifier":2363,"description":"DrugCentral is online drug information that provides information on active ingredients, chemical entities, pharmaceutical products, drug mode of action, indications, and pharmacologic mode of action. DrugCentral monitors FDA, EMA, and PMDA for new drug approval on regular basis to ensure currency of the resource. This resource was created and is maintained by the Division of Translational Informatics at the University of New Mexico School of Medicine.","abbreviation":"DrugCentral","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000842","bsg-d000842"],"name":"FAIRsharing record for: DrugCentral","abbreviation":"DrugCentral","url":"https://fairsharing.org/10.25504/FAIRsharing.3me82d","doi":"10.25504/FAIRsharing.3me82d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DrugCentral is online drug information that provides information on active ingredients, chemical entities, pharmaceutical products, drug mode of action, indications, and pharmacologic mode of action. DrugCentral monitors FDA, EMA, and PMDA for new drug approval on regular basis to ensure currency of the resource. This resource was created and is maintained by the Division of Translational Informatics at the University of New Mexico School of Medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Repositioning","Drug Development","Pharmacy","Pharmacology","Biomedical Science"],"domains":["Chemical formula","Drug structure","Drug name","Drug combination effect modeling","Adverse Reaction","Target","Approved drug"],"taxonomies":["Bacteria","Homo sapiens","Protozoa","Viruses"],"user_defined_tags":["Bioactivity","Drug Target","Mode of action"],"countries":["United States"],"publications":[{"id":1763,"pubmed_id":27789690,"title":"DrugCentral: online drug compendium.","year":2016,"url":"http://doi.org/10.1093/nar/gkw993","authors":"Ursu O,Holmes J,Knockel J,Bologa CG,Yang JJ,Mathias SL,Nelson SJ,Oprea TI","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw993","created_at":"2021-09-30T08:25:37.810Z","updated_at":"2021-09-30T11:29:20.127Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2086,"relation":"undefined"}],"grants":[{"id":2361,"fairsharing_record_id":2363,"organisation_id":3157,"relation":"maintains","created_at":"2021-09-30T09:25:41.383Z","updated_at":"2021-09-30T09:25:41.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":3157,"name":"UNM School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11554,"fairsharing_record_id":2363,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:52.596Z","updated_at":"2024-03-21T13:58:53.160Z","grant_id":607,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"1U54CA189205-01","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2333","type":"fairsharing_records","attributes":{"created_at":"2016-09-22T22:02:52.000Z","updated_at":"2023-12-15T10:32:08.590Z","metadata":{"doi":"10.25504/FAIRsharing.8zz0xc","name":"denovo-db","status":"ready","contacts":[{"contact_name":"denovo-db","contact_email":"denovo-db@uw.edu"}],"homepage":"http://denovo-db.gs.washington.edu/","identifier":2333,"description":"denovo-db is a collection of germline de novo variants identified in the human genome. de novo variants are those present in children but not their parents.","abbreviation":"denovo-db","data_curation":{"url":"https://denovo-db.gs.washington.edu/denovo-db/Usage.jsp","type":"manual/automated","notes":"Data is manually extracted from literature, befor going though annotation pipelines."},"year_creation":2016,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000809","bsg-d000809"],"name":"FAIRsharing record for: denovo-db","abbreviation":"denovo-db","url":"https://fairsharing.org/10.25504/FAIRsharing.8zz0xc","doi":"10.25504/FAIRsharing.8zz0xc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: denovo-db is a collection of germline de novo variants identified in the human genome. de novo variants are those present in children but not their parents.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12757}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2336","type":"fairsharing_records","attributes":{"created_at":"2016-09-29T09:03:20.000Z","updated_at":"2023-06-23T14:56:02.468Z","metadata":{"doi":"10.25504/FAIRsharing.c9psgb","name":"ValidatorDB","status":"ready","contacts":[{"contact_name":"David Sehnal","contact_email":"david.sehnal@gmail.com","contact_orcid":"0000-0002-0682-3089"}],"homepage":"http://webchem.ncbr.muni.cz/Platform/ValidatorDB","citations":[],"identifier":2336,"description":"ValidatorDB is a collection of validation results for the entire Protein Data Bank. Annotation (3-letter code) of HET residues larger than 6 heavy atoms is inspected, i.e. if the residue has the same topology and stereochemistry as the model ligand or residue stored in the wwCCD. Validation reports for the entire database can be inspected as well as for the arbitrary set of PDB entries or PDB annotations (3-letter residue code). Results are available in graphical form via Web UI and can be downloaded in the form of CSV files for further inspection.","abbreviation":"ValidatorDB","data_curation":{"url":"http://webchem.ncbr.muni.cz/Wiki/ValidatorDB:Principles","type":"automated"},"support_links":[{"url":"http://webchem.ncbr.muni.cz/Wiki/ValidatorDB:UserManual","name":"ValidatorDB:UserManual","type":"Help documentation"},{"url":"https://www.slideshare.net/lukypravda/validatordb-first-time-user-guide-37728902","name":"ValidatorDB: First Time User Guide","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://webchem.ncbr.muni.cz/Platform/MotiveValidator","name":"MotiveValidator 1"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000813","bsg-d000813"],"name":"FAIRsharing record for: ValidatorDB","abbreviation":"ValidatorDB","url":"https://fairsharing.org/10.25504/FAIRsharing.c9psgb","doi":"10.25504/FAIRsharing.c9psgb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ValidatorDB is a collection of validation results for the entire Protein Data Bank. Annotation (3-letter code) of HET residues larger than 6 heavy atoms is inspected, i.e. if the residue has the same topology and stereochemistry as the model ligand or residue stored in the wwCCD. Validation reports for the entire database can be inspected as well as for the arbitrary set of PDB entries or PDB annotations (3-letter residue code). Results are available in graphical form via Web UI and can be downloaded in the form of CSV files for further inspection.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11388},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12176},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12759}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Ligand","Small molecule","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1620,"pubmed_id":25392418,"title":"ValidatorDB: database of up-to-date validation results for ligands and non-standard residues from the Protein Data Bank.","year":2014,"url":"http://doi.org/10.1093/nar/gku1118","authors":"Sehnal D,Svobodova Varekova R,Pravda L,Ionescu CM,Geidl S,Horsky V,Jaiswal D,Wimmerova M,Koca J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1118","created_at":"2021-09-30T08:25:21.517Z","updated_at":"2021-09-30T11:29:16.420Z"}],"licence_links":[{"licence_name":"ValidatorDB Terms of Use","licence_id":837,"licence_url":"http://webchem.ncbr.muni.cz/Platform/Home/TermsOfUse","link_id":1523,"relation":"undefined"}],"grants":[{"id":2301,"fairsharing_record_id":2336,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:25:39.185Z","updated_at":"2021-09-30T09:29:42.703Z","grant_id":370,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","grant":"“Capacities” specific program [286154]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2303,"fairsharing_record_id":2336,"organisation_id":445,"relation":"maintains","created_at":"2021-09-30T09:25:39.256Z","updated_at":"2021-09-30T09:25:39.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":445,"name":"Central European Institute of Technology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2304,"fairsharing_record_id":2336,"organisation_id":840,"relation":"funds","created_at":"2021-09-30T09:25:39.298Z","updated_at":"2021-09-30T09:25:39.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2300,"fairsharing_record_id":2336,"organisation_id":950,"relation":"funds","created_at":"2021-09-30T09:25:39.148Z","updated_at":"2021-09-30T09:30:38.130Z","grant_id":799,"is_lead":false,"saved_state":{"id":950,"name":"European Regional Development Fund","grant":"CEITEC - Central European Institute of Technology [CZ.1.05/1.1.00/02.0068]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2302,"fairsharing_record_id":2336,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:25:39.223Z","updated_at":"2021-09-30T09:31:42.253Z","grant_id":1290,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LH13055","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8046,"fairsharing_record_id":2336,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:30:37.762Z","updated_at":"2021-09-30T09:30:37.826Z","grant_id":797,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","grant":"“Employment of Newly Graduated Doctors of Science for Scientific Excellence” [CZ.1.07/2.3.00/30.0009]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8187,"fairsharing_record_id":2336,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:31:24.031Z","updated_at":"2021-09-30T09:31:24.085Z","grant_id":1152,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","grant":"INBIOR [CZ.1.07/2.3.00/20.0042]","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2345","type":"fairsharing_records","attributes":{"created_at":"2016-10-12T12:11:34.000Z","updated_at":"2023-06-23T15:20:18.947Z","metadata":{"doi":"10.25504/FAIRsharing.b6asc0","name":"General Practice Notebook","status":"ready","contacts":[{"contact_email":"support@gpnotebook.co.uk"}],"homepage":"http://www.gpnotebook.co.uk","identifier":2345,"description":"GPnotebook is a concise synopsis of the entire field of clinical medicine focused on the needs of the General Practitioner with material organised systematically to ensure rapid retrieval of information. The content of GPnotebook is based on clinical practice in the United Kingdom and provides a clinical reference for general practitioners and medical students; it may also be a useful reference resource for other health professionals. As well as being a clinical reference, GPnotebook also aims to be a tool for clinical education, clinical governance and continuing professional development.","abbreviation":"GP Notebook","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.gpnotebook.co.uk/contactUs.cfm","type":"Contact form"},{"url":"http://www.gpnotebook.co.uk/gpn_newstestimonials/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.gpnotebook.co.uk/help.cfm","type":"Help documentation"},{"url":"http://www.gpnotebook.co.uk/TnC.cfm","type":"Help documentation"},{"url":"http://www.gpnotebook.co.uk/aboutus.cfm","type":"Help documentation"},{"url":"http://www.gpnotebook.co.uk/app_compare.cfm","type":"Help documentation"}],"year_creation":1992,"data_versioning":"no","associated_tools":[{"url":"http://www.gpnotebook.co.uk/web_app_info.cfm","name":"Mobile Application (non-iPhone)"},{"url":"https://itunes.apple.com/gb/app/gpnotebook/id492253032","name":"iPhone App 1.1.0"},{"url":"https://itunes.apple.com/gb/app/quickmedicine/id844158986","name":"QUICKmedicine iPhone App 1.0.2"}],"data_access_condition":{"url":"https://gpnotebook.helpscoutdocs.com/article/35-why-do-i-need-to-sign-in","type":"controlled","notes":"GPnotebook is intended for healthcare professionals only."},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000823","bsg-d000823"],"name":"FAIRsharing record for: General Practice Notebook","abbreviation":"GP Notebook","url":"https://fairsharing.org/10.25504/FAIRsharing.b6asc0","doi":"10.25504/FAIRsharing.b6asc0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GPnotebook is a concise synopsis of the entire field of clinical medicine focused on the needs of the General Practitioner with material organised systematically to ensure rapid retrieval of information. The content of GPnotebook is based on clinical practice in the United Kingdom and provides a clinical reference for general practitioners and medical students; it may also be a useful reference resource for other health professionals. As well as being a clinical reference, GPnotebook also aims to be a tool for clinical education, clinical governance and continuing professional development.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12761}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1660,"pubmed_id":24567602,"title":"20 years of GPnotebook: from a medical student project to a national resource.","year":2014,"url":"http://doi.org/10.3399/bjgp14X677202","authors":"McMorran J,Crowther D,McMorran S","journal":"Br J Gen Pract","doi":"10.3399/bjgp14X677202","created_at":"2021-09-30T08:25:25.954Z","updated_at":"2021-09-30T08:25:25.954Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2346","type":"fairsharing_records","attributes":{"created_at":"2016-10-12T12:42:44.000Z","updated_at":"2023-06-23T15:29:53.510Z","metadata":{"doi":"10.25504/FAIRsharing.c886cd","name":"Immune Epitope Database","status":"ready","homepage":"http://www.iedb.org/","identifier":2346,"description":"The IEDB provides the scientific community with a central repository of freely accessible epitope data and epitope prediction and analysis resources. The IEDB is a publicly accessible, comprehensive immune epitope database containing peptidic linear and conformational epitopes and non peptidic epitopes such as lipids, metals, drugs, carbohydrates, etc, with published or submitted antibody, T cell, MHC binding or MHC ligand elution experimental assays. Epitope data related to infectious diseases, allergy, autoimmunity and transplant tested in humans, non human primates, and any other species can be found in the IEDB.","abbreviation":"IEDB","data_curation":{"url":"https://curationwiki.iedb.org/wiki/index.php/IEDB_Inclusion_Criteria","type":"manual/automated"},"support_links":[{"url":"http://iedb.zendesk.com/anonymous_requests/new","type":"Contact form"},{"url":"http://iedb.zendesk.com/forums","type":"Forum"},{"url":"http://help.iedb.org/home","type":"Help documentation"},{"url":"http://www.iedb.org/acknowledgements_v3.php","type":"Help documentation"},{"url":"http://www.iedb.org/terms_of_use_v3.php","type":"Help documentation"},{"url":"http://curationwiki.iedb.org/wiki/index.php/Data_Field_Descriptions","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://tools.iedb.org/mhci/","name":"MHC-I Binding Predictions"},{"url":"http://tools.iedb.org/mhcii/","name":"MHC-II Binding Predictions"},{"url":"http://tools.iedb.org/main/tcell/","name":"T Cell Epitope Prediction Tools"},{"url":"http://tools.iedb.org/immunogenicity/","name":"Class I Immunogenicity"},{"url":"http://tools.iedb.org/bcell/","name":"Antibody Epitope Prediction"},{"url":"http://tools.iedb.org/discotope/","name":"DiscoTope: Structure-based Antibody Prediction"},{"url":"http://tools.iedb.org/ellipro/","name":"ElliPro: Antibody Epitope Prediction"},{"url":"http://tools.iedb.org/tools/population/iedb_input","name":"Population Coverage Calculation"},{"url":"http://tools.iedb.org/conservancy/","name":"Epitope Conservancy Analysis"},{"url":"http://tools.iedb.org/cluster/","name":"Epitope Cluster Analysis"},{"url":"http://tools.iedb.org/esm/userMappingFrontP.jsp","name":"Epitope Sequence and 3D Structural Homology Mapping"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012702","name":"re3data:r3d100012702","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006604","name":"SciCrunch:RRID:SCR_006604","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://help.iedb.org/hc/en-us/articles/114094146791-Data-submission-policy-for-the-general-public","type":"controlled","notes":"Submission of data is considered on a case-by-case basis."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000824","bsg-d000824"],"name":"FAIRsharing record for: Immune Epitope Database","abbreviation":"IEDB","url":"https://fairsharing.org/10.25504/FAIRsharing.c886cd","doi":"10.25504/FAIRsharing.c886cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IEDB provides the scientific community with a central repository of freely accessible epitope data and epitope prediction and analysis resources. The IEDB is a publicly accessible, comprehensive immune epitope database containing peptidic linear and conformational epitopes and non peptidic epitopes such as lipids, metals, drugs, carbohydrates, etc, with published or submitted antibody, T cell, MHC binding or MHC ligand elution experimental assays. Epitope data related to infectious diseases, allergy, autoimmunity and transplant tested in humans, non human primates, and any other species can be found in the IEDB.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10816},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12326},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12762}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Immunology","Life Science"],"domains":["Computational biological predictions","Antigen","T cell","Antibody","Immunity","Infection","Major histocompatibility complex","Literature curation"],"taxonomies":["Bacteria","Homo sapiens","Mus musculus","Oryctolagus cuniculus","Plantae","Primate","Vertebrata","Viruses"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":1668,"pubmed_id":16312048,"title":"The immune epitope database and analysis resource: from vision to blueprint.","year":2005,"url":"https://www.ncbi.nlm.nih.gov/pubmed/16312048","authors":"Sette A","journal":"Genome Inform","doi":null,"created_at":"2021-09-30T08:25:26.845Z","updated_at":"2021-09-30T08:25:26.845Z"},{"id":1685,"pubmed_id":25300482,"title":"The immune epitope database (IEDB) 3.0.","year":2014,"url":"http://doi.org/10.1093/nar/gku938","authors":"Vita R,Overton JA,Greenbaum JA,Ponomarenko J,Clark JD,Cantrell JR,Wheeler DK,Gabbard JL,Hix D,Sette A,Peters B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku938","created_at":"2021-09-30T08:25:28.784Z","updated_at":"2021-09-30T11:29:18.014Z"},{"id":2841,"pubmed_id":19906713,"title":"The immune epitope database 2.0.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1004","authors":"Vita R,Zarebski L,Greenbaum JA,Emami H,Hoof I,Salimi N,Damle R,Sette A,Peters B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1004","created_at":"2021-09-30T08:27:49.487Z","updated_at":"2021-09-30T11:29:47.137Z"},{"id":2842,"pubmed_id":22681406,"title":"The immune epitope database: a historical retrospective of the first decade.","year":2012,"url":"http://doi.org/10.1111/j.1365-2567.2012.03611.x","authors":"Salimi N,Fleri W,Peters B,Sette A","journal":"Immunology","doi":"10.1111/j.1365-2567.2012.03611.x","created_at":"2021-09-30T08:27:49.605Z","updated_at":"2021-09-30T08:27:49.605Z"}],"licence_links":[],"grants":[{"id":2325,"fairsharing_record_id":2346,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:40.048Z","updated_at":"2021-09-30T09:25:40.048Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2326,"fairsharing_record_id":2346,"organisation_id":1681,"relation":"maintains","created_at":"2021-09-30T09:25:40.090Z","updated_at":"2021-09-30T09:25:40.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":1681,"name":"La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2358","type":"fairsharing_records","attributes":{"created_at":"2016-11-15T07:56:55.000Z","updated_at":"2023-11-08T09:03:56.785Z","metadata":{"doi":"10.25504/FAIRsharing.wy4egf","name":"Zenodo","status":"ready","contacts":[{"contact_name":"Lars Holm Nielsen","contact_email":"lars.holm.nielsen@cern.ch","contact_orcid":"0000-0001-8135-3489"},{"contact_name":"Jose Benito Gonzalez Lopez","contact_email":"jose.benito.gonzalez@cern.ch","contact_orcid":"0000-0002-0816-7126"}],"homepage":"https://www.zenodo.org","citations":[],"identifier":2358,"description":"Zenodo is a generalist research data repository built and developed by OpenAIRE and CERN. It was developed to aid Open Science and is built on open source code. Zenodo helps researchers receive credit by making the research results citable and through OpenAIRE integrates them into existing reporting lines to funding agencies like the European Commission. Citation information is also passed to DataCite and onto the scholarly aggregators. Content is available publicly under any one of 400 open licences (from opendefinition.org and spdx.org). Restricted and Closed content is also supported. Free for researchers below 50 GB/dataset. Content is both online on disk and offline on tape as part of a long-term preservation policy. Zenodo supports managed access (with an access request workflow) as well as embargoing generally and during peer review. The base infrastructure of Zenodo is provided by CERN, a non-profit IGO. Projects are funded through grants.","abbreviation":"Zenodo","data_curation":{"url":"https://help.zenodo.org/docs/communities/curate/","type":"manual/automated","notes":"User Community Curation"},"support_links":[{"url":"http://blog.zenodo.org","name":"Blog","type":"Blog/News"},{"url":"https://zenodo.org/support","name":"Support form","type":"Contact form"},{"url":"info@zenodo.org","name":"Email","type":"Support email"},{"url":"https://help.zenodo.org/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.zenodo.org/","name":"Help","type":"Help documentation"},{"url":"https://www.zenodo.org/about","name":"About","type":"Help documentation"},{"url":"https://www.zenodo.org/features","name":"Features","type":"Help documentation"},{"url":"https://twitter.com/zenodo_org","name":"@zenodo_org","type":"Twitter"},{"url":"https://github.com/zenodo/zenodo","name":"Zenodo GitHub","type":"Github"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://inveniosoftware.org/products/rdm/","name":"InvenioRDM"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010468","name":"re3data:r3d100010468","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004129","name":"SciCrunch:RRID:SCR_004129","portal":"SciCrunch"}],"data_access_condition":{"url":"https://about.zenodo.org/policies/","type":"partially open","notes":"Files can be flexibly deposited under open, closed, or embargo conditions."},"resource_sustainability":{"url":"https://about.zenodo.org/roadmap/","name":"Zenodo Roadmap"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://about.zenodo.org/infrastructure/","name":"CERN EOS Services \u0026 CASTOR System (20+ year minimum retention period)."},"data_deposition_condition":{"url":"https://about.zenodo.org/policies/","type":"open","notes":"50 GB per record upload; larger quotas can be requested and granted on a case-by-case basis."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000837","bsg-d000837"],"name":"FAIRsharing record for: Zenodo","abbreviation":"Zenodo","url":"https://fairsharing.org/10.25504/FAIRsharing.wy4egf","doi":"10.25504/FAIRsharing.wy4egf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Zenodo is a generalist research data repository built and developed by OpenAIRE and CERN. It was developed to aid Open Science and is built on open source code. Zenodo helps researchers receive credit by making the research results citable and through OpenAIRE integrates them into existing reporting lines to funding agencies like the European Commission. Citation information is also passed to DataCite and onto the scholarly aggregators. Content is available publicly under any one of 400 open licences (from opendefinition.org and spdx.org). Restricted and Closed content is also supported. Free for researchers below 50 GB/dataset. Content is both online on disk and offline on tape as part of a long-term preservation policy. Zenodo supports managed access (with an access request workflow) as well as embargoing generally and during peer review. The base infrastructure of Zenodo is provided by CERN, a non-profit IGO. Projects are funded through grants.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10817},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12923},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12932},{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18431}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":["Open Science"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1941,"relation":"undefined"},{"licence_name":"Zenodo Policies","licence_id":880,"licence_url":"http://about.zenodo.org/policies/","link_id":1940,"relation":"undefined"},{"licence_name":"Zenodo Terms of Use","licence_id":881,"licence_url":"https://zenodo.org/terms","link_id":1939,"relation":"undefined"}],"grants":[{"id":2349,"fairsharing_record_id":2358,"organisation_id":2252,"relation":"maintains","created_at":"2021-09-30T09:25:40.914Z","updated_at":"2021-09-30T09:25:40.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2350,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:25:40.958Z","updated_at":"2021-09-30T09:29:08.834Z","grant_id":113,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"643410","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8302,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:59.789Z","updated_at":"2021-09-30T09:31:59.847Z","grant_id":1421,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"777541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8345,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:13.058Z","updated_at":"2021-09-30T09:32:13.119Z","grant_id":1521,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"283595","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2351,"fairsharing_record_id":2358,"organisation_id":947,"relation":"maintains","created_at":"2021-09-30T09:25:40.997Z","updated_at":"2021-09-30T09:25:40.997Z","grant_id":null,"is_lead":true,"saved_state":{"id":947,"name":"European Organisation for Nuclear Research (CERN), Geneva, Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2352,"fairsharing_record_id":2358,"organisation_id":947,"relation":"funds","created_at":"2021-09-30T09:25:41.028Z","updated_at":"2021-09-30T09:25:41.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":947,"name":"European Organisation for Nuclear Research (CERN), Geneva, Switzerland","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7935,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:29:55.648Z","updated_at":"2021-09-30T09:29:55.696Z","grant_id":472,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"731011","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2359","type":"fairsharing_records","attributes":{"created_at":"2016-11-03T12:12:18.000Z","updated_at":"2023-12-15T10:30:54.798Z","metadata":{"doi":"10.25504/FAIRsharing.68f4xz","name":"mirDNMR","status":"ready","contacts":[{"contact_name":"Yi Jiang","contact_email":"jiangyi3029@foxmail.com","contact_orcid":"0000-0002-1196-0280"}],"homepage":"http://www.wzgenomics.cn/mirdnmr/","citations":[],"identifier":2359,"description":"mirDNMR is a database for the collection of gene-centered background DNMRs obtained from different methods and population variation data. The database has the following functions: (i) browse and search the background DNMRs of each gene predicted by four different methods, including GC content (DNMR-GC), sequence context (DNMR-SC), multiple factors (DNMR-MF) and local DNA methylation level (DNMR-DM); (ii) search variant frequencies in publicly available databases, including ExAC, ESP6500, UK10K, 1000G and dbSNP and (iii) investigate the DNM burden to prioritize candidate genes based on the four background DNMRs using three statistical methods (TADA, Binomial and Poisson test). In conclusion, mirDNMR can be widely used to identify the genetic basis of sporadic genetic diseases.","abbreviation":"mirDNMR","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.wzgenomics.cn/mirdnmr/feedback.php","type":"Contact form"},{"url":"http://www.wzgenomics.cn/mirdnmr/tutorial.php","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"http://www.wzgenomics.cn/mirdnmr/search_s.php","name":"Search"},{"url":"http://www.wzgenomics.cn/mirdnmr/Prioritize.php","name":"Prioritize"},{"url":"http://www.wzgenomics.cn/mirdnmr/filter.php","name":"Filter gene list with custom range"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000838","bsg-d000838"],"name":"FAIRsharing record for: mirDNMR","abbreviation":"mirDNMR","url":"https://fairsharing.org/10.25504/FAIRsharing.68f4xz","doi":"10.25504/FAIRsharing.68f4xz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mirDNMR is a database for the collection of gene-centered background DNMRs obtained from different methods and population variation data. The database has the following functions: (i) browse and search the background DNMRs of each gene predicted by four different methods, including GC content (DNMR-GC), sequence context (DNMR-SC), multiple factors (DNMR-MF) and local DNA methylation level (DNMR-DM); (ii) search variant frequencies in publicly available databases, including ExAC, ESP6500, UK10K, 1000G and dbSNP and (iii) investigate the DNM burden to prioritize candidate genes based on the four background DNMRs using three statistical methods (TADA, Binomial and Poisson test). In conclusion, mirDNMR can be widely used to identify the genetic basis of sporadic genetic diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Mutation analysis","Mutation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1777,"pubmed_id":27799474,"title":"mirDNMR: a gene-centered database of background de novo mutation rates in human.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1044","authors":"Jiang Y,Li Z,Liu Z,Chen D,Wu W,Du Y,Ji L,Jin ZB,Li W,Wu J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1044","created_at":"2021-09-30T08:25:39.436Z","updated_at":"2021-09-30T11:29:20.628Z"}],"licence_links":[],"grants":[{"id":2353,"fairsharing_record_id":2359,"organisation_id":3226,"relation":"maintains","created_at":"2021-09-30T09:25:41.067Z","updated_at":"2021-09-30T09:25:41.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":3226,"name":"Wenzhou Medical University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2360","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T10:14:55.000Z","updated_at":"2023-12-15T10:32:11.216Z","metadata":{"doi":"10.25504/FAIRsharing.kthr0s","name":"Musa Germplasm Information System","status":"ready","contacts":[{"contact_email":"mgis@crop-diversity.org"}],"homepage":"https://www.crop-diversity.org/mgis/","citations":[],"identifier":2360,"description":"The Musa Germplasm Information System (MGIS) contains key information on Musa germplasm diversity, including passport data, botanical classification, morpho-taxonomic descriptors, molecular studies, plant photographs and GIS information on 4771 accessions managed in 24 collections around the world, making it the most extensive source of information on banana genetic resources.","abbreviation":"MGIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.crop-diversity.org/mgis/contact-form","type":"Contact form"},{"url":"https://www.crop-diversity.org/mgis/help","type":"Help documentation"},{"url":"https://www.crop-diversity.org/mgis/content/release-notes","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","associated_tools":[{"url":"https://www.crop-diversity.org/mgis/accession-search","name":"Accession Search"},{"url":"https://www.crop-diversity.org/mgis/taxonomy","name":"Taxonomy Browser"},{"url":"https://www.crop-diversity.org/mgis/comparator","name":"Accession Comparison"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000839","bsg-d000839"],"name":"FAIRsharing record for: Musa Germplasm Information System","abbreviation":"MGIS","url":"https://fairsharing.org/10.25504/FAIRsharing.kthr0s","doi":"10.25504/FAIRsharing.kthr0s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Musa Germplasm Information System (MGIS) contains key information on Musa germplasm diversity, including passport data, botanical classification, morpho-taxonomic descriptors, molecular studies, plant photographs and GIS information on 4771 accessions managed in 24 collections around the world, making it the most extensive source of information on banana genetic resources.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11498}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Life Science"],"domains":["DNA structural variation","Phenotype","Genotype"],"taxonomies":["Ensete","Musa"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":765,"pubmed_id":5502358,"title":"MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data","year":1970,"url":"http://doi.org/10.1177/18.12.893","authors":"Ruas M, Guignon V, Sempere G, et al.","journal":"database","doi":"10.1093/database/bax046","created_at":"2021-09-30T08:23:44.328Z","updated_at":"2021-09-30T11:28:30.859Z"}],"licence_links":[{"licence_name":"MGIS Data Sharing Agreement","licence_id":510,"licence_url":"https://www.crop-diversity.org/mgis/sites/crop-diversity.org.mgis/files/pdf/dsa/MGIS_DataSharingAgreement_Version1-8.pdf","link_id":1304,"relation":"undefined"}],"grants":[{"id":2354,"fairsharing_record_id":2360,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:25:41.104Z","updated_at":"2021-09-30T09:25:41.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2348","type":"fairsharing_records","attributes":{"created_at":"2016-10-18T11:41:21.000Z","updated_at":"2023-12-15T10:29:24.941Z","metadata":{"doi":"10.25504/FAIRsharing.hkk309","name":"Cellosaurus","status":"ready","contacts":[{"contact_name":"Amos Bairoch","contact_email":"Amos.Bairoch@sib.swiss","contact_orcid":"0000-0003-2826-6444"}],"homepage":"https://www.cellosaurus.org","citations":[{"doi":"10.7171/jbt.18-2902-002","pubmed_id":29805321,"publication_id":2788}],"identifier":2348,"description":"The Cellosaurus is a knowledge resource on cell lines. It attempts to describe all cell lines used in biomedical research. Its scope includes: Immortalized cell lines; naturally immortal cell lines (example: stem cell lines); finite life cell lines when those are distributed and used widely; vertebrate cell line with an emphasis on human, mouse and rat cell lines; and invertebrate (insects and ticks) cell lines. Its scope does not include primary cell lines (with the exception of the finite life cell lines described above) and plant cell lines.","abbreviation":"Cellosaurus","data_curation":{"url":"https://www.cellosaurus.org/faq","type":"manual/automated","notes":"Entry of information in hPSCreg is directly performed by the groups that have established the relevant cell lines while Cellosaurus entries are manually curated"},"support_links":[{"url":"https://www.cellosaurus.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.cellosaurus.org/cellosaurus_relnotes.txt","name":"Release notes","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Cellosaurus","type":"Wikipedia"},{"url":"https://www.cellosaurus.org/description.html","name":"Description of Cellosaurus content","type":"Help documentation"},{"url":"https://www.cellosaurus.org/educational_resources.html","name":"Cellosaurus educational resources home page","type":"Training documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.cellosaurus.org/str-search/","name":"CLASTR 1.4.4"},{"url":"https://api.cellosaurus.org/","name":"API"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013293","name":"re3data:r3d100013293","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013869","name":"SciCrunch:RRID:SCR_013869","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","certifications_and_community_badges":[{"url":"https://www.elixir-europe.org/platforms/data/core-data-resources","name":"ELIXIR Core Data Resource"},{"url":"https://irdirc.org/resources-2/irdirc-recognized-resources/","name":"IRDiRC Recognized Resource"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000826","bsg-d000826"],"name":"FAIRsharing record for: Cellosaurus","abbreviation":"Cellosaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.hkk309","doi":"10.25504/FAIRsharing.hkk309","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cellosaurus is a knowledge resource on cell lines. It attempts to describe all cell lines used in biomedical research. Its scope includes: Immortalized cell lines; naturally immortal cell lines (example: stem cell lines); finite life cell lines when those are distributed and used widely; vertebrate cell line with an emphasis on human, mouse and rat cell lines; and invertebrate (insects and ticks) cell lines. Its scope does not include primary cell lines (with the exception of the finite life cell lines described above) and plant cell lines.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18163},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12327},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12763},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13196},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13233}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Cell line"],"taxonomies":["Invertebrata","Vertebrata"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2787,"pubmed_id":31444973,"title":"CLASTR: The Cellosaurus STR similarity search tool - A precious help for cell line authentication.","year":2019,"url":"http://doi.org/10.1002/ijc.32639","authors":"Robin T,Capes-Davis A,Bairoch A","journal":"Int J Cancer","doi":"10.1002/ijc.32639","created_at":"2021-09-30T08:27:42.681Z","updated_at":"2021-09-30T08:27:42.681Z"},{"id":2788,"pubmed_id":29805321,"title":"The Cellosaurus, a Cell-Line Knowledge Resource.","year":2018,"url":"http://doi.org/10.7171/jbt.18-2902-002","authors":"Bairoch A","journal":"J Biomol Tech","doi":"10.7171/jbt.18-2902-002","created_at":"2021-09-30T08:27:42.798Z","updated_at":"2021-09-30T08:27:42.798Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1875,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1876,"relation":"undefined"}],"grants":[{"id":2328,"fairsharing_record_id":2348,"organisation_id":587,"relation":"maintains","created_at":"2021-09-30T09:25:40.190Z","updated_at":"2021-09-30T09:25:40.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":587,"name":"Computer and Laboratory Investigation of Proteins of Human Origin Group (CALIPHO), Swiss Institute of Bioinformatics, Geneva, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBc1VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9000a0f98d338c5a6a09c7e65ae363e5dbac0dfd/Cellosaurus_rvb.png?disposition=inline","exhaustive_licences":false}},{"id":"2065","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:26.194Z","metadata":{"doi":"10.25504/FAIRsharing.jrfd8y","name":"The Cancer Imaging Archive","status":"ready","contacts":[{"contact_name":"Justin Kirby","contact_email":"help@cancerimagingarchive.net","contact_orcid":"0000-0003-3487-8922"}],"homepage":"http://cancerimagingarchive.net/","citations":[{"doi":"10.1007/s10278-013-9622-7","pubmed_id":23884657,"publication_id":1335}],"identifier":2065,"description":"The Cancer Imaging Archive (TCIA) is a service which de-identifies and hosts medical images of cancer for public download. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. DICOM is the primary file format used by TCIA for radiology imaging. Supporting data related to the images such as patient outcomes, treatment details, genomics and expert analyses are also provided when available.","abbreviation":"TCIA","data_curation":{"url":"https://wiki.cancerimagingarchive.net/display/Public/Submission+and+De-identification+Overview","type":"manual/automated"},"support_links":[{"url":"https://www.facebook.com/The.Cancer.Imaging.Archive","name":"Facebook","type":"Facebook"},{"url":"https://www.cancerimagingarchive.net/contact-form/","name":"Contact Form","type":"Contact form"},{"url":"https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=4555089","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/forum/#!forum/tcia-announcements","name":"TCIA Announcements Google Group","type":"Forum"},{"url":"https://www.linkedin.com/groups/4371904/profile","name":"LinkedIn Group","type":"Forum"},{"url":"https://wiki.cancerimagingarchive.net/x/rYAY","name":"Wiki Documentation","type":"Help documentation"},{"url":"https://www.cancerimagingarchive.net/support/","name":"Support Documentation","type":"Help documentation"},{"url":"https://www.cancerimagingarchive.net/about-the-cancer-imaging-archive-tcia/","name":"About TCIA","type":"Help documentation"},{"url":"https://twitter.com/TCIA_News","name":"@TCIA_News","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/The_Cancer_Imaging_Archive_%28TCIA%29","name":"TCIA Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=22515655","name":"TCIA Data Analysis Centers (DACs)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011559","name":"re3data:r3d100011559","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008927","name":"SciCrunch:RRID:SCR_008927","portal":"SciCrunch"}],"data_access_condition":{"url":"https://wiki.cancerimagingarchive.net/display/Public/Frequently+Asked+Questions#FrequentlyAskedQuestions-2.HowdoIrequestaccesstoarestrictedcollection?","type":"partially open","notes":"Some collections have a restricted or limited access."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.cancerimagingarchive.net/primary-data/","type":"open","notes":"New datasets or analysis results can be submitted."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000532","bsg-d000532"],"name":"FAIRsharing record for: The Cancer Imaging Archive","abbreviation":"TCIA","url":"https://fairsharing.org/10.25504/FAIRsharing.jrfd8y","doi":"10.25504/FAIRsharing.jrfd8y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer Imaging Archive (TCIA) is a service which de-identifies and hosts medical images of cancer for public download. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. DICOM is the primary file format used by TCIA for radiology imaging. Supporting data related to the images such as patient outcomes, treatment details, genomics and expert analyses are also provided when available.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17399},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10795},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10963},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11095}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Oncology","Nuclear Medicine","Artificial Intelligence","Radiology","Personalized Medicine","Biomedical Science","Digital Image Processing","Pathology"],"domains":["Cancer","Magnetic resonance imaging","Imaging","Positron emission tomography","Image","Histology","Machine learning"],"taxonomies":["Canis lupus familiaris","Homo sapiens","Mus musculus"],"user_defined_tags":["Digital pathology"],"countries":["United States"],"publications":[{"id":1335,"pubmed_id":23884657,"title":"The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.","year":2013,"url":"http://doi.org/10.1007/s10278-013-9622-7","authors":"Clark K,Vendt B,Smith K,Freymann J,Kirby J,Koppel P,Moore S,Phillips S,Maffitt D,Pringle M,Tarbox L,Prior F","journal":"J Digit Imaging","doi":"10.1007/s10278-013-9622-7","created_at":"2021-09-30T08:24:49.410Z","updated_at":"2021-09-30T08:24:49.410Z"},{"id":2262,"pubmed_id":24772218,"title":"Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive.","year":2014,"url":"http://doi.org/10.1593/tlo.13862","authors":"Kalpathy-Cramer J,Freymann JB,Kirby JS,Kinahan PE,Prior FW","journal":"Transl Oncol","doi":"10.1593/tlo.13862","created_at":"2021-09-30T08:26:35.198Z","updated_at":"2021-09-30T08:26:35.198Z"},{"id":2266,"pubmed_id":25414001,"title":"Iterative probabilistic voxel labeling: automated segmentation for analysis of The Cancer Imaging Archive glioblastoma images.","year":2014,"url":"http://doi.org/10.3174/ajnr.A4171","authors":"Steed TC,Treiber JM,Patel KS,Taich Z,White NS,Treiber ML,Farid N,Carter BS,Dale AM,Chen CC","journal":"AJNR Am J Neuroradiol","doi":"10.1016/j.jocn.2018.06.018","created_at":"2021-09-30T08:26:35.723Z","updated_at":"2021-09-30T08:26:35.723Z"},{"id":2697,"pubmed_id":28925987,"title":"The public cancer radiology imaging collections of The Cancer Imaging Archive.","year":2017,"url":"http://doi.org/10.1038/sdata.2017.124","authors":"Prior F,Smith K,Sharma A,Kirby J,Tarbox L,Clark K,Bennett W,Nolan T,Freymann J","journal":"Sci Data","doi":"10.1038/sdata.2017.124","created_at":"2021-09-30T08:27:31.255Z","updated_at":"2021-09-30T08:27:31.255Z"},{"id":2698,"pubmed_id":29871933,"title":"TCIApathfinder: an R client for The Cancer Imaging Archive REST API.","year":2018,"url":"http://doi.org/10.1158/0008-5472.CAN-18-0678","authors":"Russell P,Fountain K,Wolverton D,Ghosh D","journal":"Cancer Res","doi":"10.1158/0008-5472.CAN-18-0678","created_at":"2021-09-30T08:27:31.371Z","updated_at":"2021-09-30T08:27:31.371Z"},{"id":2699,"pubmed_id":29934058,"title":"Molecular physiology of contrast enhancement in glioblastomas: An analysis of The Cancer Imaging Archive (TCIA).","year":2018,"url":"http://doi.org/S0967-5868(17)31169-4","authors":"Treiber JM,Steed TC,Brandel MG,Patel KS,Dale AM,Carter BS,Chen CC","journal":"J Clin Neurosci","doi":"S0967-5868(17)31169-4","created_at":"2021-09-30T08:27:31.530Z","updated_at":"2021-09-30T08:27:31.530Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3263,"relation":"applies_to_content"},{"licence_name":"TCIA Data Usage Policy","licence_id":774,"licence_url":"https://www.cancerimagingarchive.net/access-data","link_id":650,"relation":"undefined"}],"grants":[{"id":8325,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:05.674Z","updated_at":"2021-09-30T09:32:05.731Z","grant_id":1466,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001E/PHS HHS/United States","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1558,"fairsharing_record_id":2065,"organisation_id":3014,"relation":"maintains","created_at":"2021-09-30T09:25:11.433Z","updated_at":"2021-09-30T09:25:11.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":3014,"name":"University of Arkansas for Medical Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1559,"fairsharing_record_id":2065,"organisation_id":366,"relation":"funds","created_at":"2021-09-30T09:25:11.460Z","updated_at":"2021-09-30T09:25:11.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":366,"name":"Cancer Imaging Program (CIP), National Cancer Institute, Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1560,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:11.495Z","updated_at":"2021-09-30T09:29:53.820Z","grant_id":456,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R00LM009889","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8000,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:19.977Z","updated_at":"2021-09-30T09:30:20.021Z","grant_id":661,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01CA154602","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8057,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:41.361Z","updated_at":"2021-09-30T09:30:41.405Z","grant_id":823,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01CA148131","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8290,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:55.857Z","updated_at":"2021-09-30T09:31:55.914Z","grant_id":1392,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001E/CA/NCI NIH HHS/United States","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8438,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:39.134Z","updated_at":"2021-09-30T09:32:39.186Z","grant_id":1718,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001C/RC/CCR NIH HHS/United States","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBclVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c253b9732ba4457141a2be596ca2ddfc306e8fa3/facebook%20icon.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2066","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-20T12:18:25.579Z","metadata":{"doi":"10.25504/FAIRsharing.zmhqcq","name":"European Mouse Mutant Cell Repository","status":"deprecated","contacts":[{"contact_name":"Antje Burger","contact_email":"antje.burger@helmholtz-munich.de","contact_orcid":null},{"contact_name":"General EUCOMM contact","contact_email":"info.eucomm@helmholtz-munich.de","contact_orcid":null},{"contact_name":"General EuMMCR Contact","contact_email":"info@eummcr.org","contact_orcid":null}],"homepage":"https://www.eummcr.info/","citations":[],"identifier":2066,"description":"The EuMMCR (European Mouse Mutant cell Repository) is the mouse ES cell distribution unit in Europe. The EuMMCR has been founded as distribution unit of EUCOMM (European Mouse Mutagenesis Program). The EuMMCR provides an online database to help users discover and choose targeting vectors and mutant ES cell lines produced in the EUCOMM and EUCOMMTOOLS consortia.","abbreviation":"EuMMCR","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.eummcr.info/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.eummcr.info/eummcr","name":"About","type":"Help documentation"},{"url":"https://www.eummcr.info/products/es-cells","name":"About Mutant ES Cells","type":"Help documentation"},{"url":"https://www.eummcr.info/products/vectors","name":"About Vectors","type":"Help documentation"},{"url":"https://www.eummcr.info/protocols/tissue-culture","name":"Protocols","type":"Help documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012644","name":"re3data:r3d100012644","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001506","name":"SciCrunch:RRID:SCR_001506","portal":"SciCrunch"}],"deprecation_date":"2024-03-20","deprecation_reason":"Although available through to the end of 2024, this resource stops accepting new orders from April and will close completely at the end of the year. From their announcement: \"Unfortunately, we have to announce that the EuMMCR service will be terminated at the end of the year 2024 due to lack of funding. Therefore, we are unable to accept any new orders from first of April this year.\"","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000533","bsg-d000533"],"name":"FAIRsharing record for: European Mouse Mutant Cell Repository","abbreviation":"EuMMCR","url":"https://fairsharing.org/10.25504/FAIRsharing.zmhqcq","doi":"10.25504/FAIRsharing.zmhqcq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EuMMCR (European Mouse Mutant cell Repository) is the mouse ES cell distribution unit in Europe. The EuMMCR has been founded as distribution unit of EUCOMM (European Mouse Mutagenesis Program). The EuMMCR provides an online database to help users discover and choose targeting vectors and mutant ES cell lines produced in the EUCOMM and EUCOMMTOOLS consortia.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Biology"],"domains":["Model organism","Cell line","Embryonic stem cell","Gene","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["Germany","European Union"],"publications":[],"licence_links":[{"licence_name":"EuMMCR Copyright and Imprint","licence_id":1073,"licence_url":"https://www.eummcr.info/imprint","link_id":3339,"relation":"applies_to_content"}],"grants":[{"id":1561,"fairsharing_record_id":2066,"organisation_id":1413,"relation":"maintains","created_at":"2021-09-30T09:25:11.536Z","updated_at":"2021-09-30T09:25:11.536Z","grant_id":null,"is_lead":true,"saved_state":{"id":1413,"name":"Institute of Developmental Genetics (IDG), Helmholtz Zentrum Munich, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdTRDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--005e343cb1e704c65d4fe51911493ddf41afbf87/Screenshot%20from%202023-09-21%2010-56-06.png?disposition=inline","exhaustive_licences":true}},{"id":"2068","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:05.862Z","metadata":{"doi":"10.25504/FAIRsharing.9dpd18","name":"Mutant Mouse Resource and Research Centers","status":"ready","contacts":[{"contact_name":"MMRRC Support","contact_email":"support@mmrrc.org"},{"contact_name":"MMRRC Service","contact_email":"service@mmrrc.org","contact_orcid":null}],"homepage":"https://www.mmrrc.org/","citations":[],"identifier":2068,"description":"The MMRRC distributes and cryopreserves scientifically valuable, genetically engineered mouse strains and mouse ES cell lines with potential value for the genetics and biomedical research community. The Catalog provides information on the strains available from the MMRRC.","abbreviation":"MMRRC","data_curation":{"url":"https://www.mmrrc.org/about/faq.php","type":"manual","notes":"The MMRRC's Coordinating Committee (CC) makes the decision based on information in the application and any provided papers. The MMRRC considers input from members of its Advisory Panel who have specialized expertise. The AP members are provided with the same information as the CC members."},"support_links":[{"url":"https://www.mmrrc.org/about/faq.php","name":"MMRRC FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.mmrrc.org/catalog/searchGeneAllele.php","name":"Gene and Allele Search Help","type":"Help documentation"},{"url":"https://twitter.com/mmrc","name":"@mmrc","type":"Twitter"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013715","name":"re3data:r3d100013715","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002953","name":"SciCrunch:RRID:SCR_002953","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.mmrrc.org/about/generalInfo.php","type":"open","notes":"Catalog of strain can be purchased"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.mmrrc.org/submission/submIntro.php","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000535","bsg-d000535"],"name":"FAIRsharing record for: Mutant Mouse Resource and Research Centers","abbreviation":"MMRRC","url":"https://fairsharing.org/10.25504/FAIRsharing.9dpd18","doi":"10.25504/FAIRsharing.9dpd18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MMRRC distributes and cryopreserves scientifically valuable, genetically engineered mouse strains and mouse ES cell lines with potential value for the genetics and biomedical research community. The Catalog provides information on the strains available from the MMRRC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biology"],"domains":["Genetic polymorphism","Gene","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":527,"pubmed_id":12102564,"title":"Mutant Mouse Regional Resource Center Program: a resource for distribution of mouse models for biomedical research.","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12102564","authors":"Grieder FB.,","journal":"Comp. Med.","doi":null,"created_at":"2021-09-30T08:23:17.492Z","updated_at":"2021-09-30T08:23:17.492Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":685,"relation":"undefined"}],"grants":[{"id":1565,"fairsharing_record_id":2068,"organisation_id":3030,"relation":"maintains","created_at":"2021-09-30T09:25:11.743Z","updated_at":"2021-09-30T09:25:11.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":3030,"name":"University of California Davis","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1563,"fairsharing_record_id":2068,"organisation_id":3107,"relation":"maintains","created_at":"2021-09-30T09:25:11.614Z","updated_at":"2021-09-30T09:25:11.614Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1564,"fairsharing_record_id":2068,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:25:11.707Z","updated_at":"2021-09-30T09:25:11.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1566,"fairsharing_record_id":2068,"organisation_id":3098,"relation":"maintains","created_at":"2021-09-30T09:25:11.783Z","updated_at":"2021-09-30T09:25:11.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":3098,"name":"University of Missouri, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2100","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:57.784Z","metadata":{"doi":"10.25504/FAIRsharing.hmgte8","name":"miRBase","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"mirbase@manchester.ac.uk"}],"homepage":"http://www.mirbase.org/","citations":[{"doi":"10.1093/nar/gky1141","pubmed_id":30423142,"publication_id":1614}],"identifier":2100,"description":"The miRBase database is a searchable database of published miRNA sequences and annotation. Each entry in miRBase represents a predicted hairpin portion of a miRNA transcript (termed mir in the database), with information on the location and sequence of the mature miRNA sequence (termed miR). Both hairpin and mature sequences are available for searching and browsing, and entries can also be retrieved by name, keyword, references and annotation.","abbreviation":"miRBase","data_curation":{"url":"https://www.mirbase.org/help/submit.shtml","type":"manual","notes":"Authors are contacted by miRBase team to discuss the naming of the miRNAs."},"support_links":[{"url":"http://www.mirbase.org/help/","name":"Help Pages","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010566","name":"re3data:r3d100010566","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003152","name":"SciCrunch:RRID:SCR_003152","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.mirbase.org/registry.shtml","type":"controlled","notes":"Sequences need to be described in a manuscript accepted for publication prior submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000569","bsg-d000569"],"name":"FAIRsharing record for: miRBase","abbreviation":"miRBase","url":"https://fairsharing.org/10.25504/FAIRsharing.hmgte8","doi":"10.25504/FAIRsharing.hmgte8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The miRBase database is a searchable database of published miRNA sequences and annotation. Each entry in miRBase represents a predicted hairpin portion of a miRNA transcript (termed mir in the database), with information on the location and sequence of the mature miRNA sequence (termed miR). Both hairpin and mature sequences are available for searching and browsing, and entries can also be retrieved by name, keyword, references and annotation.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10968},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11100}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["RNA sequence","Ribonucleic acid","Crowdsourcing","Micro RNA","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":555,"pubmed_id":14681370,"title":"The microRNA Registry.","year":2003,"url":"http://doi.org/10.1093/nar/gkh023","authors":"Griffiths-Jones S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh023","created_at":"2021-09-30T08:23:20.601Z","updated_at":"2021-09-30T08:23:20.601Z"},{"id":1614,"pubmed_id":30423142,"title":"miRBase: from microRNA sequences to function.","year":2018,"url":"http://doi.org/10.1093/nar/gky1141","authors":"Kozomara A,Birgaoanu M,Griffiths-Jones S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1141","created_at":"2021-09-30T08:25:20.875Z","updated_at":"2021-09-30T11:29:16.128Z"},{"id":1626,"pubmed_id":24275495,"title":"miRBase: annotating high confidence microRNAs using deep sequencing data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1181","authors":"Kozomara A,Griffiths-Jones S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1181","created_at":"2021-09-30T08:25:22.251Z","updated_at":"2021-09-30T11:29:16.737Z"},{"id":1627,"pubmed_id":21037258,"title":"miRBase: integrating microRNA annotation and deep-sequencing data.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1027","authors":"Kozomara A,Griffiths-Jones S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1027","created_at":"2021-09-30T08:25:22.352Z","updated_at":"2021-09-30T11:29:16.844Z"},{"id":1628,"pubmed_id":17991681,"title":"miRBase: tools for microRNA genomics.","year":2007,"url":"http://doi.org/10.1093/nar/gkm952","authors":"Griffiths-Jones S,Saini HK,van Dongen S,Enright AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm952","created_at":"2021-09-30T08:25:22.450Z","updated_at":"2021-09-30T11:29:16.944Z"},{"id":1629,"pubmed_id":16381832,"title":"miRBase: microRNA sequences, targets and gene nomenclature.","year":2005,"url":"http://doi.org/10.1093/nar/gkj112","authors":"Griffiths-Jones S,Grocock RJ,van Dongen S,Bateman A,Enright AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj112","created_at":"2021-09-30T08:25:22.550Z","updated_at":"2021-09-30T11:29:17.035Z"}],"licence_links":[],"grants":[{"id":1653,"fairsharing_record_id":2100,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:15.419Z","updated_at":"2021-09-30T09:25:15.419Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1655,"fairsharing_record_id":2100,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:25:15.470Z","updated_at":"2021-09-30T09:25:15.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1652,"fairsharing_record_id":2100,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.387Z","updated_at":"2021-09-30T09:25:15.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1654,"fairsharing_record_id":2100,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:15.443Z","updated_at":"2021-09-30T09:25:15.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1656,"fairsharing_record_id":2100,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:15.507Z","updated_at":"2021-09-30T09:25:15.507Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2101","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-08T10:15:26.776Z","metadata":{"doi":"10.25504/FAIRsharing.4ttw2d","name":"Search PRINTS-S","status":"deprecated","contacts":[{"contact_name":"TK Attwood","contact_email":"attwood@bioinf.man.ac.uk"}],"homepage":"http://www.bioinf.manchester.ac.uk/dbbrowser/sprint/","citations":[],"identifier":2101,"description":"SPRINT provides search access to the data bank of protein family fingerprints (PRINTS).","abbreviation":"SPRINT","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bioinf.man.ac.uk/dbbrowser/sprint/sprint_help.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2024-07-08","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000570","bsg-d000570"],"name":"FAIRsharing record for: Search PRINTS-S","abbreviation":"SPRINT","url":"https://fairsharing.org/10.25504/FAIRsharing.4ttw2d","doi":"10.25504/FAIRsharing.4ttw2d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SPRINT provides search access to the data bank of protein family fingerprints (PRINTS).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12691}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":535,"pubmed_id":10592232,"title":"PRINTS-S: the database formerly known as PRINTS.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.225","authors":"Attwood TK., Croning MD., Flower DR., Lewis AP., Mabey JE., Scordis P., Selley JN., Wright W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.225","created_at":"2021-09-30T08:23:18.460Z","updated_at":"2021-09-30T08:23:18.460Z"}],"licence_links":[],"grants":[{"id":1659,"fairsharing_record_id":2101,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:15.641Z","updated_at":"2021-09-30T09:25:15.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1657,"fairsharing_record_id":2101,"organisation_id":2828,"relation":"funds","created_at":"2021-09-30T09:25:15.536Z","updated_at":"2021-09-30T09:25:15.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":2828,"name":"The Royal Society","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":1658,"fairsharing_record_id":2101,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.560Z","updated_at":"2021-09-30T09:25:15.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2102","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:59:05.561Z","metadata":{"doi":"10.25504/FAIRsharing.f8qafw","name":"Annmap","status":"deprecated","contacts":[{"contact_name":"C Miller","contact_email":"cmiller@picr.man.ac.uk"}],"homepage":"http://annmap.cruk.manchester.ac.uk/","identifier":2102,"description":"Annmap is a genome browser that includes mappings between genomic features and Affymetrix microarrays. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"Annmap","data_curation":{"type":"not found"},"support_links":[{"url":"http://annmap.picr.man.ac.uk/help/index","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","deprecation_date":"2021-9-23","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000571","bsg-d000571"],"name":"FAIRsharing record for: Annmap","abbreviation":"Annmap","url":"https://fairsharing.org/10.25504/FAIRsharing.f8qafw","doi":"10.25504/FAIRsharing.f8qafw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Annmap is a genome browser that includes mappings between genomic features and Affymetrix microarrays. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA microarray","Genome"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":563,"pubmed_id":17932061,"title":"X:Map: annotation and visualization of genome structure for Affymetrix exon array analysis.","year":2007,"url":"http://doi.org/10.1093/nar/gkm779","authors":"Yates T., Okoniewski MJ., Miller CJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm779","created_at":"2021-09-30T08:23:21.569Z","updated_at":"2021-09-30T08:23:21.569Z"}],"licence_links":[],"grants":[{"id":1661,"fairsharing_record_id":2102,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:25:15.720Z","updated_at":"2021-09-30T09:25:15.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1660,"fairsharing_record_id":2102,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.682Z","updated_at":"2021-09-30T09:25:15.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2103","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:29.356Z","metadata":{"doi":"10.25504/FAIRsharing.cm6j6r","name":"YEASTNET: A consensus reconstruction of yeast metabolism","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"network.reconstruction@manchester.ac.uk"}],"homepage":"http://yeast.sourceforge.net/","identifier":2103,"description":"This is a portal to the consensus yeast metabolic network as reconstructed from the genome sequence and literature. It is a highly annotated metabolic map of Saccharomyces cerevisiae S288c that is periodically updated by a team of collaborators from various research groups.","abbreviation":"YEASTNET","data_curation":{"url":"https://github.com/SysBioChalmers/yeast-GEM/blob/main/.github/CONTRIBUTING.md","type":"manual","notes":"Community curation."},"support_links":[{"url":"http://sourceforge.net/projects/yeast/forums/","name":"Forum","type":"Forum"}],"year_creation":2007,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000572","bsg-d000572"],"name":"FAIRsharing record for: YEASTNET: A consensus reconstruction of yeast metabolism","abbreviation":"YEASTNET","url":"https://fairsharing.org/10.25504/FAIRsharing.cm6j6r","doi":"10.25504/FAIRsharing.cm6j6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a portal to the consensus yeast metabolic network as reconstructed from the genome sequence and literature. It is a highly annotated metabolic map of Saccharomyces cerevisiae S288c that is periodically updated by a team of collaborators from various research groups.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Metabolomics","Systems Biology"],"domains":["Network model"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1419,"pubmed_id":18846089,"title":"A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology.","year":2008,"url":"http://doi.org/10.1038/nbt1492","authors":"Herrgård MJ., Swainston N., Dobson P., Dunn WB., Arga KY., Arvas M., Blüthgen N., Borger S., Costenoble R., Heinemann M., Hucka M., Le Novère N., Li P., Liebermeister W., Mo ML., Oliveira AP., Petranovic D., Pettifer S., Simeonidis E., Smallbone K., Spasić I., Weichart D., Brent R., Broomhead DS., Westerhoff HV., Kirdar B., Penttilä M., Klipp E., Palsson BØ., Sauer U., Oliver SG., Mendes P., Nielsen J., Kell DB.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt1492","created_at":"2021-09-30T08:24:58.603Z","updated_at":"2021-09-30T08:24:58.603Z"},{"id":2184,"pubmed_id":24678285,"title":"Revising the Representation of Fatty Acid, Glycerolipid, and Glycerophospholipid Metabolism in the Consensus Model of Yeast Metabolism.","year":2014,"url":"http://doi.org/10.1089/ind.2013.0013","authors":"Aung HW,Henry SA,Walker LP","journal":"Ind Biotechnol (New Rochelle N Y)","doi":"10.1089/ind.2013.0013","created_at":"2021-09-30T08:26:26.223Z","updated_at":"2021-09-30T08:26:26.223Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1257,"relation":"undefined"}],"grants":[{"id":1664,"fairsharing_record_id":2103,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:25:15.810Z","updated_at":"2021-09-30T09:25:15.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1662,"fairsharing_record_id":2103,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.759Z","updated_at":"2021-09-30T09:25:15.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1663,"fairsharing_record_id":2103,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:15.785Z","updated_at":"2021-09-30T09:25:15.785Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1665,"fairsharing_record_id":2103,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:15.835Z","updated_at":"2021-09-30T09:29:03.772Z","grant_id":76,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NIH R01 GM071808","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2092","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:28.230Z","metadata":{"doi":"10.25504/FAIRsharing.r1k8kz","name":"Paleobiology Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@paleobiodb.org"}],"homepage":"https://paleobiodb.org/#/","citations":[],"identifier":2092,"description":"The Paleobiology Database seeks to provide researchers and the public with information about the entire fossil record. It stores global, collection-based occurrence and taxonomic data for marine and terrestrial animals and plants of any geological age, as well as web-based software for statistical analysis of the data. It is maintained by an international non-governmental group of paleontologists.","abbreviation":"PaleoBioDB","data_curation":{"url":"https://docs.google.com/document/d/e/2PACX-1vQPrlNL2sUTFbZAzZFs2Jhs4j-1h3RfAIFNl54JstnHfxhhRcjMGImGU4VRk89C9Er_kNEWj7NTAqaR/pub","type":"manual"},"support_links":[{"url":"https://paleobiodb.org/#/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/paleobiodb","name":"GitHub Project","type":"Github"},{"url":"https://paleobiodb.org/#/resources","name":"Video Tutorials","type":"Training documentation"},{"url":"https://twitter.com/paleodb","name":"@paleodb","type":"Twitter"}],"year_creation":1998,"data_versioning":"yes","associated_tools":[{"url":"https://paleobiodb.org/#/resources","name":"Tools and Resources"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010760","name":"re3data:r3d100010760","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://paleobiodb.org/#/resources","type":"open","notes":"PBDB has three user types that are allowed to contribute data to the database."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000561","bsg-d000561"],"name":"FAIRsharing record for: Paleobiology Database","abbreviation":"PaleoBioDB","url":"https://fairsharing.org/10.25504/FAIRsharing.r1k8kz","doi":"10.25504/FAIRsharing.r1k8kz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Paleobiology Database seeks to provide researchers and the public with information about the entire fossil record. It stores global, collection-based occurrence and taxonomic data for marine and terrestrial animals and plants of any geological age, as well as web-based software for statistical analysis of the data. It is maintained by an international non-governmental group of paleontologists.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Paleontology","Ecology"],"domains":["Taxonomic classification","Marine environment"],"taxonomies":["Animalia","Plantae"],"user_defined_tags":["Paleobiology"],"countries":["United States"],"publications":[{"id":303,"pubmed_id":18599780,"title":"Phanerozoic trends in the global diversity of marine invertebrates.","year":2008,"url":"http://doi.org/10.1126/science.1156963","authors":"Alroy J., Aberhan M., Bottjer DJ., et al.","journal":"Science","doi":"10.1126/science.1156963","created_at":"2021-09-30T08:22:52.642Z","updated_at":"2021-09-30T08:22:52.642Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1517,"relation":"undefined"}],"grants":[{"id":1628,"fairsharing_record_id":2092,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:14.368Z","updated_at":"2021-09-30T09:30:54.214Z","grant_id":927,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0949416","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1627,"fairsharing_record_id":2092,"organisation_id":3036,"relation":"maintains","created_at":"2021-09-30T09:25:14.324Z","updated_at":"2021-09-30T09:25:14.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":3036,"name":"University of California Santa Barbara, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2093","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:02:41.306Z","metadata":{"doi":"10.25504/FAIRsharing.qvxhb1","name":"VBASE2","status":"ready","contacts":[{"contact_name":"Werner Müller","contact_email":"wmueller@gbf.de","contact_orcid":"0000-0002-1297-9725"}],"homepage":"http://www.vbase2.org","identifier":2093,"description":"VBASE2 is an integrative database of germ-line variable genes from the immunoglobulin loci of human and mouse. All variable gene sequences are extracted from the EMBL-Bank.","abbreviation":"VBASE2","data_curation":{"type":"none"},"support_links":[{"url":"info@vbase2.org","type":"Support email"},{"url":"http://www.vbase2.org/vbhelp.php#faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.vbase2.org/vbhelp.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable","notes":"The VBASE2 dataset is generated in an automatic process based on a BLAST search of V genes against the source nucleotide databases ( Ensembl, EMBL-Bank, including Whole Genome Shotgun (WGS) and High Throughput Genomic (HTG) sequences)"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000562","bsg-d000562"],"name":"FAIRsharing record for: VBASE2","abbreviation":"VBASE2","url":"https://fairsharing.org/10.25504/FAIRsharing.qvxhb1","doi":"10.25504/FAIRsharing.qvxhb1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VBASE2 is an integrative database of germ-line variable genes from the immunoglobulin loci of human and mouse. All variable gene sequences are extracted from the EMBL-Bank.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Immunoglobulin complex","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":558,"pubmed_id":15608286,"title":"VBASE2, an integrative V gene database.","year":2004,"url":"http://doi.org/10.1093/nar/gki088","authors":"Retter I., Althaus HH., Münch R., Müller W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki088","created_at":"2021-09-30T08:23:20.976Z","updated_at":"2021-09-30T08:23:20.976Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1826,"relation":"undefined"},{"licence_name":"VBASE2 - Disclaimer","licence_id":839,"licence_url":"http://www.vbase2.org/vbdisclaimer.php","link_id":1828,"relation":"undefined"}],"grants":[{"id":1630,"fairsharing_record_id":2093,"organisation_id":3043,"relation":"maintains","created_at":"2021-09-30T09:25:14.447Z","updated_at":"2021-09-30T09:25:14.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":3043,"name":"University of Cologne, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9348,"fairsharing_record_id":2093,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.159Z","updated_at":"2022-04-11T12:07:32.177Z","grant_id":157,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031U110A/031U210A","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2094","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-26T10:37:50.488Z","metadata":{"doi":"10.25504/FAIRsharing.qaszjp","name":"RESID Database of Protein Modifications","status":"ready","contacts":[{"contact_name":"John S Garavelli","contact_email":"jsgarave@udel.edu"}],"homepage":"http://pir.georgetown.edu/resid/","citations":[],"identifier":2094,"description":"The RESID Database of Protein Modifications is a comprehensive collection of annotations and structures for protein modifications including amino-terminal, carboxyl-terminal and peptide chain cross-link post-translational modifications.","abbreviation":"RESID","data_curation":{"url":"https://proteininformationresource.org/pirwww/support/help.shtml","type":"manual"},"support_links":[{"url":"http://pir.georgetown.edu/resid/faq.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://pir.georgetown.edu/resid/documentation.shtml","type":"Help documentation"},{"url":"http://pir.georgetown.edu/resid/documentation.shtml","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011306","name":"re3data:r3d100011306","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003505","name":"SciCrunch:RRID:SCR_003505","portal":"SciCrunch"}],"data_access_condition":{"url":"https://proteininformationresource.org/pirwww/search/searchtools.shtml","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000563","bsg-d000563"],"name":"FAIRsharing record for: RESID Database of Protein Modifications","abbreviation":"RESID","url":"https://fairsharing.org/10.25504/FAIRsharing.qaszjp","doi":"10.25504/FAIRsharing.qaszjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RESID Database of Protein Modifications is a comprehensive collection of annotations and structures for protein modifications including amino-terminal, carboxyl-terminal and peptide chain cross-link post-translational modifications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","European Union"],"publications":[{"id":334,"pubmed_id":12520062,"title":"The RESID Database of Protein Modifications: 2003 developments.","year":2003,"url":"http://doi.org/10.1093/nar/gkg038","authors":"Garavelli JS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg038","created_at":"2021-09-30T08:22:55.931Z","updated_at":"2021-09-30T11:28:45.476Z"},{"id":347,"pubmed_id":15174122,"title":"The RESID Database of Protein Modifications as a resource and annotation tool.","year":2004,"url":"http://doi.org/10.1002/pmic.200300777","authors":"Garavelli JS","journal":"Proteomics","doi":"10.1002/pmic.200300777","created_at":"2021-09-30T08:22:57.374Z","updated_at":"2021-09-30T08:22:57.374Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":192,"relation":"undefined"},{"licence_name":"Use/Link to PIR","licence_id":829,"licence_url":"https://proteininformationresource.org/pirwww/about/linkpir.shtml","link_id":193,"relation":"undefined"}],"grants":[{"id":1632,"fairsharing_record_id":2094,"organisation_id":2375,"relation":"maintains","created_at":"2021-09-30T09:25:14.523Z","updated_at":"2021-09-30T09:25:14.523Z","grant_id":null,"is_lead":false,"saved_state":{"id":2375,"name":"Protein Information Resource Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1631,"fairsharing_record_id":2094,"organisation_id":1129,"relation":"maintains","created_at":"2021-09-30T09:25:14.486Z","updated_at":"2021-09-30T09:25:14.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":1129,"name":"Georgetown University Medical Center , Georgetown University, Washington DC, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1633,"fairsharing_record_id":2094,"organisation_id":3047,"relation":"maintains","created_at":"2021-09-30T09:25:14.565Z","updated_at":"2021-09-30T09:25:14.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":3047,"name":"University of Delaware, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2095","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:21.741Z","metadata":{"doi":"10.25504/FAIRsharing.swbypy","name":"AmoebaDB","status":"ready","contacts":[{"contact_name":"Omar Harb","contact_email":"oharb@pcbi.upenn.edu"}],"homepage":"http://amoebadb.org","citations":[],"identifier":2095,"description":"AmoebaDB belongs to the EuPathDB family of databases and is an integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. In its first released, AmoebaDB contained the genomes of three Entamoeba species. AmoebaDB integrates whole genome sequence and annotation and will rapidly expand to include experimental data and environmental isolate sequences provided by community researchers . The database includes supplemental bioinformatics analyses and a web interface for data-mining.","abbreviation":"AmoebaDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://amoebadb.org/amoeba/contact.do","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"http://amoebadb.org/amoeba/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Training documentation"},{"url":"https://twitter.com/eupathdb","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"http://amoebadb.org/amoeba/showQuestion.do?questionFullName=UniversalQuestions.UnifiedBlast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012457","name":"re3data:r3d100012457","portal":"re3data"}],"data_access_condition":{"url":"https://amoebadb.org/amoeba/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://amoebadb.org/amoeba/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://amoebadb.org/amoeba/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000564","bsg-d000564"],"name":"FAIRsharing record for: AmoebaDB","abbreviation":"AmoebaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.swbypy","doi":"10.25504/FAIRsharing.swbypy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AmoebaDB belongs to the EuPathDB family of databases and is an integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. In its first released, AmoebaDB contained the genomes of three Entamoeba species. AmoebaDB integrates whole genome sequence and annotation and will rapidly expand to include experimental data and environmental isolate sequences provided by community researchers . The database includes supplemental bioinformatics analyses and a web interface for data-mining.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics"],"domains":["Sequence annotation","Model organism"],"taxonomies":["Acanthamoeba","Entamoeba","Naegleria fowleri"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":72,"pubmed_id":19914931,"title":"EuPathDB: a portal to eukaryotic pathogen databases.","year":2009,"url":"http://doi.org/10.1093/nar/gkp941","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp941","created_at":"2021-09-30T08:22:27.954Z","updated_at":"2021-09-30T08:22:27.954Z"}],"licence_links":[{"licence_name":"AmoebaDB Attribution required","licence_id":29,"licence_url":"https://amoebadb.org/amoeba/app/static-content/about.html#about_citing","link_id":219,"relation":"undefined"},{"licence_name":"AmoebaDB Data Access Policy","licence_id":30,"licence_url":"https://amoebadb.org/amoeba/app/static-content/about.html","link_id":220,"relation":"undefined"}],"grants":[{"id":1634,"fairsharing_record_id":2095,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:14.607Z","updated_at":"2021-09-30T09:25:14.607Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1636,"fairsharing_record_id":2095,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:14.677Z","updated_at":"2021-09-30T09:32:37.871Z","grant_id":1708,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HHSN272200900038C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9983,"fairsharing_record_id":2095,"organisation_id":3549,"relation":"maintains","created_at":"2022-10-07T16:09:37.940Z","updated_at":"2022-10-07T16:09:37.940Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBczRCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--576fe8315cffbe075147f2b16b7ea538c6ff16e8/amoebaDB.png?disposition=inline","exhaustive_licences":false}},{"id":"2096","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:07.372Z","metadata":{"doi":"10.25504/FAIRsharing.ptsckv","name":"Cancer Genome Mine","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"bbu-support@helsinki.fi"}],"homepage":"http://www.cangem.org/","identifier":2096,"description":"Clinical information about tumor samples and microarray data, with emphasis on array comparative genomic hybridization (aCGH) and data mining of gene copy number changes.","abbreviation":"CanGEM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cangem.org/browse.php?what=doc","type":"Help documentation"},{"url":"http://cabigtrainingdocs.nci.nih.gov/caNanolab/websubmission/caNanolab_websubmission.html","type":"Training documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2020-06-03","deprecation_reason":"This database is no longer available at its listed homepage, and no further information can be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000565","bsg-d000565"],"name":"FAIRsharing record for: Cancer Genome Mine","abbreviation":"CanGEM","url":"https://fairsharing.org/10.25504/FAIRsharing.ptsckv","doi":"10.25504/FAIRsharing.ptsckv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Clinical information about tumor samples and microarray data, with emphasis on array comparative genomic hybridization (aCGH) and data mining of gene copy number changes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Life Science","Biomedical Science"],"domains":["Cancer","Genetic polymorphism","Chromosomal aberration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":554,"pubmed_id":17932056,"title":"CanGEM: mining gene copy number changes in cancer.","year":2007,"url":"http://doi.org/10.1093/nar/gkm802","authors":"Scheinin I., Myllykangas S., Borze I., Böhling T., Knuutila S., Saharinen J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm802","created_at":"2021-09-30T08:23:20.487Z","updated_at":"2021-09-30T08:23:20.487Z"}],"licence_links":[],"grants":[{"id":1638,"fairsharing_record_id":2096,"organisation_id":17,"relation":"funds","created_at":"2021-09-30T09:25:14.782Z","updated_at":"2021-09-30T09:29:07.669Z","grant_id":105,"is_lead":false,"saved_state":{"id":17,"name":"Academy of Finland, Helsinki, Finland","grant":"207469","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1639,"fairsharing_record_id":2096,"organisation_id":1238,"relation":"funds","created_at":"2021-09-30T09:25:14.823Z","updated_at":"2021-09-30T09:31:32.317Z","grant_id":1215,"is_lead":false,"saved_state":{"id":1238,"name":"Helsinki University Hospital (HUH), Helsinki, Finland","grant":"TYH6229","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1637,"fairsharing_record_id":2096,"organisation_id":3064,"relation":"maintains","created_at":"2021-09-30T09:25:14.701Z","updated_at":"2021-09-30T09:25:14.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":3064,"name":"University of Helsinki, Finland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2087","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:07:22.217Z","metadata":{"doi":"10.25504/FAIRsharing.jrv6wj","name":"Xenopus laevis and tropicalis biology and genomics resource","status":"ready","contacts":[{"contact_name":"Aaron Zorn","contact_email":"xenbase@cchmc.org","contact_orcid":"0000-0003-3217-3590"}],"homepage":"http://www.xenbase.org","citations":[{"doi":"10.1093/genetics/iyad018","pubmed_id":36755307,"publication_id":3858}],"identifier":2087,"description":"Xenbase is the model organism database for Xenopus laevis and X. (Silurana) tropicalis which was created to improve knowledge of developmental and disease processes. Through curation and automated data provisioning from various sources, Xenbase aims to integrate the body of knowledge on Xenopus genomics and biology together with the visualization of biologically-significant interactions.","abbreviation":"Xenbase","data_curation":{"url":"https://www.xenbase.org/xenbase/static-xenbase/contactUs.jsp","type":"manual","notes":"Team of curators"},"support_links":[{"url":"https://www.youtube.com/user/XenbaseTips","name":"Video Tutorials (YouTube)","type":"Video"},{"url":"http://wiki.xenbase.org/xenwiki","name":"Xenbase Community Wiki","type":"Help documentation"},{"url":"https://www.xenbase.org/entry/other/statistics.do","name":"Statistics","type":"Help documentation"},{"url":"http://www.xenbase.org/entry/doNewsRead.do?id=610","name":"Anatomy and Histology Atlas","type":"Help documentation"},{"url":"https://www.xenbase.org/entry/static/anatomy/xenbasefate.jsp","name":"Fate Maps","type":"Help documentation"},{"url":"https://www.xenbase.org/entry/static/anatomy/movies.jsp","name":"Development Videos","type":"Help documentation"},{"url":"https://twitter.com/Xenbase","name":"@Xenbase","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Xenbase","name":"Xenbase Wikipedia Entry","type":"Wikipedia"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011331","name":"re3data:r3d100011331","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003280","name":"SciCrunch:RRID:SCR_003280","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.xenbase.org/xenbase/static-xenbase/aboutMOD.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000556","bsg-d000556"],"name":"FAIRsharing record for: Xenopus laevis and tropicalis biology and genomics resource","abbreviation":"Xenbase","url":"https://fairsharing.org/10.25504/FAIRsharing.jrv6wj","doi":"10.25504/FAIRsharing.jrv6wj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Xenbase is the model organism database for Xenopus laevis and X. (Silurana) tropicalis which was created to improve knowledge of developmental and disease processes. Through curation and automated data provisioning from various sources, Xenbase aims to integrate the body of knowledge on Xenopus genomics and biology together with the visualization of biologically-significant interactions.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10798},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10966},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11098}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Functional Genomics","Anatomy","Genomics","Genetics","Proteomics","Developmental Biology","Cell Biology"],"domains":["Expression data","Bibliography","Gene Ontology enrichment","Differential gene expression analysis","Differential protein expression analysis","Model organism","Reagent","Next generation DNA sequencing","Disease process modeling","Gene expression","Antibody","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Phenotype","Micro RNA","Genome","Genetic strain"],"taxonomies":["Xenopus","Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":708,"pubmed_id":25380782,"title":"The Virtual Xenbase: transitioning an online bioinformatics resource to a private cloud","year":2014,"url":"http://doi.org/10.1093/database/bau108","authors":"K Karimi and PD Vize","journal":"Database","doi":"10.1093/database/bau108","created_at":"2021-09-30T08:23:38.086Z","updated_at":"2021-09-30T08:23:38.086Z"},{"id":970,"pubmed_id":24139024,"title":"Enhanced XAO: the ontology of Xenopus anatomy and development underpins more accurate annotation of gene expression and queries on Xenbase.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-31","authors":"Segerdell E,Ponferrada VG,James-Zorn C,Burns KA,Fortriede JD,Dahdul WM,Vize PD,Zorn AM","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-31","created_at":"2021-09-30T08:24:07.313Z","updated_at":"2021-09-30T08:24:07.313Z"},{"id":1194,"pubmed_id":19884130,"title":"Xenbase: gene expression and improved integration.","year":2009,"url":"http://doi.org/10.1093/nar/gkp953","authors":"Bowes JB,Snyder KA,Segerdell E,Jarabek CJ,Azam K,Zorn AM,Vize PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp953","created_at":"2021-09-30T08:24:32.721Z","updated_at":"2021-09-30T11:29:02.734Z"},{"id":1196,"pubmed_id":27039265,"title":"Xenopus genomic data and browser resources.","year":2016,"url":"http://doi.org/S0012-1606(15)30357-2","authors":"Vize PD,Zorn AM","journal":"Dev Biol","doi":"10.1016/j.ydbio.2016.03.030","created_at":"2021-09-30T08:24:32.925Z","updated_at":"2021-09-30T08:24:32.925Z"},{"id":1485,"pubmed_id":25313157,"title":"Xenbase, the Xenopus model organism database; new virtualized system, data types and genomes","year":2014,"url":"http://doi.org/10.1093/nar/gku956","authors":"•JB Karpinka, JD Fortriede, KA Burns, C James-Zorn; VG Ponferrada; J Lee; K Karimi; AM Zorn; PD Vize","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku956","created_at":"2021-09-30T08:25:06.254Z","updated_at":"2021-09-30T08:25:06.254Z"},{"id":1486,"pubmed_id":30863320,"title":"Xenbase: Facilitating the Use of Xenopus to Model Human Disease.","year":2019,"url":"http://doi.org/10.3389/fphys.2019.00154","authors":"Nenni MJ, Fisher ME, James-Zorn C, Pells TJ, Ponferrada V, Chu S, Fortriede JD, Burns KA, Wang Y, Lotay VS, Wang DZ, Segerdell E, Chaturvedi P, Karimi K, Vize PD, Zorn AM.","journal":"Front Physiol. 2019 Feb 26;10:154","doi":"doi:10.3389/fphys.2019.00154","created_at":"2021-09-30T08:25:06.361Z","updated_at":"2021-09-30T08:25:06.361Z"},{"id":1498,"pubmed_id":31733057,"title":"Xenbase: deep integration of GEO \u0026 SRA RNA-seq and ChIP-seq data in a model organism database.","year":2019,"url":"http://doi.org/10.1093/nar/gkz933","authors":"Fortriede JD,Pells TJ,Chu S,Chaturvedi P,Wang D,Fisher ME,James-Zorn C,Wang Y,Nenni MJ,Burns KA,Lotay VS,Ponferrada VG,Karimi K,Zorn AM,Vize PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz933","created_at":"2021-09-30T08:25:07.774Z","updated_at":"2021-09-30T11:29:11.085Z"},{"id":2336,"pubmed_id":29761462,"title":"Navigating Xenbase: An Integrated Xenopus Genomics and Gene Expression Database.","year":2018,"url":"http://doi.org/10.1007/978-1-4939-7737-6_10","authors":"James-Zorn C, Ponferrada V, Fisher ME, Burns K, Fortriede J, Segerdell E, Karimi K, Lotay V, Wang DZ, Chu S, Pells T, Wang Y, Vize PD, Zorn A.","journal":"Methods Mol Biol. 2018;1757:251-305.","doi":"doi:10.1007/978-1-4939-7737-6_10.","created_at":"2021-09-30T08:26:46.893Z","updated_at":"2021-09-30T08:26:46.893Z"},{"id":3602,"pubmed_id":35317743,"title":"The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development.","year":2022,"url":"https://doi.org/10.1186/s12859-022-04636-8","authors":"Fisher ME, Segerdell E, Matentzoglu N, Nenni MJ, Fortriede JD, Chu S, Pells TJ, Osumi-Sutherland D, Chaturvedi P, James-Zorn C, Sundararaj N, Lotay VS, Ponferrada V, Wang DZ, Kim E, Agalakov S, Arshinoff BI, Karimi K, Vize PD, Zorn AM","journal":"BMC bioinformatics","doi":"10.1186/s12859-022-04636-8","created_at":"2022-09-27T22:02:15.642Z","updated_at":"2022-09-27T22:02:15.642Z"},{"id":3858,"pubmed_id":36755307,"title":"Xenbase: Key Features and Resources of the Xenopus Model Organism Knowledgebase.","year":2023,"url":"https://doi.org/10.1093/genetics/iyad018","authors":"Fisher M, James-Zorn C, Ponferrada V, Bell AJ, Sundararaj N, Segerdell E, Chaturvedi P, Bayyari N, Chu S, Pells T, Lotay V, Agalakov S, Wang DZ, Arshinoff BI, Foley S, Karimi K, Vize PD, Zorn AM","journal":"Genetics","doi":"10.1093/genetics/iyad018","created_at":"2023-05-02T18:33:42.949Z","updated_at":"2023-05-02T18:33:42.949Z"},{"id":3859,"pubmed_id":35833709,"title":"Normal Table of Xenopus development: a new graphical resource.","year":2022,"url":"https://doi.org/10.1242/dev.200356","authors":"Zahn N, James-Zorn C, Ponferrada VG, Adams DS, Grzymkowski J, Buchholz DR, Nascone-Yoder NM, Horb M, Moody SA, Vize PD, Zorn AM","journal":"Development (Cambridge, England)","doi":"10.1242/dev.200356","created_at":"2023-05-02T18:36:45.460Z","updated_at":"2023-05-02T18:36:45.460Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2411,"relation":"undefined"},{"licence_name":"Xenbase Credits and Copyright","licence_id":877,"licence_url":"http://www.xenbase.org/other/static-xenbase/aboutMOD.jsp","link_id":2410,"relation":"undefined"}],"grants":[{"id":1613,"fairsharing_record_id":2087,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:13.740Z","updated_at":"2021-09-30T09:25:13.740Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1611,"fairsharing_record_id":2087,"organisation_id":3027,"relation":"maintains","created_at":"2021-09-30T09:25:13.665Z","updated_at":"2021-09-30T09:25:13.665Z","grant_id":null,"is_lead":false,"saved_state":{"id":3027,"name":"University of Calgary, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1612,"fairsharing_record_id":2087,"organisation_id":278,"relation":"maintains","created_at":"2021-09-30T09:25:13.704Z","updated_at":"2021-09-30T09:25:13.704Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1614,"fairsharing_record_id":2087,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:13.768Z","updated_at":"2021-09-30T09:25:13.768Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1615,"fairsharing_record_id":2087,"organisation_id":521,"relation":"maintains","created_at":"2021-09-30T09:25:13.793Z","updated_at":"2021-09-30T09:25:13.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":521,"name":"Cincinnati Children's Hospital Medical Center, OH, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1610,"fairsharing_record_id":2087,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:13.622Z","updated_at":"2021-09-30T09:32:07.035Z","grant_id":1476,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"P41 HD064556","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2088","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:24.119Z","metadata":{"doi":"10.25504/FAIRsharing.dstf7h","name":"The UC Irvine ChemDB","status":"ready","contacts":[{"contact_name":"Pierre Baldi","contact_email":"pfbaldi@ics.uci.edu"}],"homepage":"http://cdb.ics.uci.edu","identifier":2088,"description":"ChemDB is a chemical database containing nearly 5M commercially available small molecules, important for use as synthetic building blocks, probes in systems biology and as leads for the discovery of drugs and other useful compounds.","abbreviation":"ChemDB","data_curation":{"url":"https://cdb.ics.uci.edu/cgibin/supplement/Implementation.py","type":"manual/automated"},"support_links":[{"url":"http://cdb.ics.uci.edu/cgibin/tutorial/help/ReactionTutorialHelp.htm","type":"Training documentation"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000557","bsg-d000557"],"name":"FAIRsharing record for: The UC Irvine ChemDB","abbreviation":"ChemDB","url":"https://fairsharing.org/10.25504/FAIRsharing.dstf7h","doi":"10.25504/FAIRsharing.dstf7h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChemDB is a chemical database containing nearly 5M commercially available small molecules, important for use as synthetic building blocks, probes in systems biology and as leads for the discovery of drugs and other useful compounds.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11778},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12688}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science","Biomedical Science","Systems Biology","Preclinical Studies"],"domains":["Drug","Small molecule","Target"],"taxonomies":["Not applicable"],"user_defined_tags":["Drug Target"],"countries":["United States"],"publications":[{"id":265,"pubmed_id":16174682,"title":"ChemDB: a public database of small molecules and related chemoinformatics resources.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti683","authors":"Chen J,Swamidass SJ,Dou Y,Bruand J,Baldi P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti683","created_at":"2021-09-30T08:22:48.666Z","updated_at":"2021-09-30T08:22:48.666Z"},{"id":525,"pubmed_id":17599932,"title":"ChemDB update--full-text search and virtual chemical space.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm341","authors":"Chen JH., Linstead E., Swamidass SJ., Wang D., Baldi P.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm341","created_at":"2021-09-30T08:23:17.278Z","updated_at":"2021-09-30T08:23:17.278Z"}],"licence_links":[{"licence_name":"ChemDB No commercial use without permission","licence_id":122,"licence_url":"http://cdb.ics.uci.edu/","link_id":1719,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1718,"relation":"undefined"}],"grants":[{"id":1616,"fairsharing_record_id":2088,"organisation_id":1382,"relation":"maintains","created_at":"2021-09-30T09:25:13.868Z","updated_at":"2021-09-30T09:25:13.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":1382,"name":"Institute for Genomics and Bioinformatics, University of California, Irvine, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1618,"fairsharing_record_id":2088,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:13.948Z","updated_at":"2021-09-30T09:25:13.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1619,"fairsharing_record_id":2088,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:13.987Z","updated_at":"2021-09-30T09:29:41.482Z","grant_id":360,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"LM-07443-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1617,"fairsharing_record_id":2088,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:13.906Z","updated_at":"2021-09-30T09:29:45.921Z","grant_id":392,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0513376","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8239,"fairsharing_record_id":2088,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:41.040Z","updated_at":"2021-09-30T09:31:41.092Z","grant_id":1282,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EIA-0321390","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2106","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:52.314Z","metadata":{"doi":"10.25504/FAIRsharing.ybxnhg","name":"The Zebrafish Information Network","status":"ready","contacts":[{"contact_name":"Doug Howe","contact_email":"dhowe@zfin.org","contact_orcid":"0000-0001-5831-7439"}],"homepage":"https://zfin.org/","citations":[{"doi":"10.1093/nar/gky1090","pubmed_id":30407545,"publication_id":2073}],"identifier":2106,"description":"The Zebrafish Information Network, ZFIN, serves as the primary community database resource for the laboratory use of zebrafish. We develop and support integrated zebrafish genetic, genomic, developmental and physiological information and link this information extensively to corresponding data in other model organism and human databases.","abbreviation":"ZFIN","data_curation":{"url":"https://zfin.atlassian.net/wiki/spaces/general/pages/4952883201/Data+Curation+Workflow","type":"manual"},"support_links":[{"url":"zfinadmn@zfin.org","name":"General Contact","type":"Support email"},{"url":"zfinadmin@uoregon.edu","name":"General Contact","type":"Support email"},{"url":"https://wiki.zfin.org/display/general/ZFIN+Tips","name":"Help and Tips","type":"Help documentation"},{"url":"https://zfin.org/zf_info/glossary.html","name":"ZFIN Glossary","type":"Help documentation"},{"url":"https://zfin.atlassian.net/wiki/spaces/news/overview","name":"News","type":"Help documentation"},{"url":"https://wiki.zfin.org/display/general/ZFIN+Zebrafish+Nomenclature+Conventions","name":"Zebrafish Nomenclature Conventions","type":"Help documentation"},{"url":"https://twitter.com/zfinmod","name":"@zfinmod","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Zebrafish_Information_Network","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1997,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010421","name":"re3data:r3d100010421","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002560","name":"SciCrunch:RRID:SCR_002560","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://zfin.org/action/submit-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000575","bsg-d000575"],"name":"FAIRsharing record for: The Zebrafish Information Network","abbreviation":"ZFIN","url":"https://fairsharing.org/10.25504/FAIRsharing.ybxnhg","doi":"10.25504/FAIRsharing.ybxnhg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Zebrafish Information Network, ZFIN, serves as the primary community database resource for the laboratory use of zebrafish. We develop and support integrated zebrafish genetic, genomic, developmental and physiological information and link this information extensively to corresponding data in other model organism and human databases.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10800},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10969},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11101},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16180}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Animal Physiology","Genetics","Developmental Biology"],"domains":["Expression data","Bibliography","Model organism","Disease process modeling","Mutation","Phenotype","Gene","Allele","Genome"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":644,"pubmed_id":16381936,"title":"The Zebrafish Information Network: the zebrafish model organism database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj086","authors":"Sprague J, Bayraktaroglu L, Clements D, Conlin T, Fashena D, Frazer K, Haendel M, Howe DG, Mani P, Ramachandran S, Schaper K, Segerdell E, Song P, Sprunger B, Taylor S, Van Slyke CE, Westerfield M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj086","created_at":"2021-09-30T08:23:30.887Z","updated_at":"2021-09-30T08:23:30.887Z"},{"id":651,"pubmed_id":21036866,"title":"ZFIN: enhancements and updates to the Zebrafish Model Organism Database.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1077","authors":"Bradford Y, Conlin T, Dunn N, Fashena D, Frazer K, Howe DG, Knight J, Mani P, Martin R, Moxon SA, Paddock H, Pich C, Ramachandran S, Ruef BJ, Ruzicka L, Bauer Schaper H, Schaper K, Shao X, Singer A, Sprague J, Sprunger B, Van Slyke C, Westerfield M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1077","created_at":"2021-09-30T08:23:31.835Z","updated_at":"2021-09-30T08:23:31.835Z"},{"id":1190,"pubmed_id":12519991,"title":"The Zebrafish Information Network (ZFIN): the zebrafish model organism database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg027","authors":"Sprague J,Clements D,Conlin T,Edwards P,Frazer K,Schaper K,Segerdell E,Song P,Sprunger B,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg027","created_at":"2021-09-30T08:24:32.330Z","updated_at":"2021-09-30T11:29:02.478Z"},{"id":1195,"pubmed_id":10354586,"title":"Zebrafish in the Net.","year":1999,"url":"http://doi.org/10.1016/s0168-9525(99)01741-2","authors":"Westerfield M,Doerry E,Douglas S","journal":"Trends Genet","doi":"10.1016/s0168-9525(99)01741-2","created_at":"2021-09-30T08:24:32.815Z","updated_at":"2021-09-30T08:24:32.815Z"},{"id":1212,"pubmed_id":20836073,"title":"Exploring zebrafish genomic, functional and phenotypic data using ZFIN.","year":2010,"url":"http://doi.org/10.1002/0471250953.bi0118s31","authors":"Ramachandran S,Ruef B,Pich C,Sprague J","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0118s31.","created_at":"2021-09-30T08:24:35.075Z","updated_at":"2021-09-30T08:24:35.075Z"},{"id":2072,"pubmed_id":21924170,"title":"Data extraction, transformation, and dissemination through ZFIN.","year":2011,"url":"http://doi.org/10.1016/B978-0-12-374814-0.00017-3","authors":"Howe DG, Frazer K, Fashena D, Ruzicka L, Bradford Y, Ramachandran S, Ruef BJ, Van Slyke C, Singer A, Westerfield M.","journal":"Methods Cell Biol.","doi":"10.1016/B978-0-12-374814-0.00017-3","created_at":"2021-09-30T08:26:13.601Z","updated_at":"2021-09-30T08:26:13.601Z"},{"id":2073,"pubmed_id":30407545,"title":"The Zebrafish Information Network: new support for non-coding genes, richer Gene Ontology annotations and the Alliance of Genome Resources.","year":2018,"url":"http://doi.org/10.1093/nar/gky1090","authors":"Ruzicka L,Howe DG,Ramachandran S,Toro S,Van Slyke CE,Bradford YM,Eagle A,Fashena D,Frazer K,Kalita P,Mani P,Martin R,Moxon ST,Paddock H,Pich C,Schaper K,Shao X,Singer A,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1090","created_at":"2021-09-30T08:26:13.722Z","updated_at":"2021-09-30T11:29:27.886Z"},{"id":2100,"pubmed_id":23074187,"title":"ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics.","year":2012,"url":"http://doi.org/10.1093/nar/gks938","authors":"Howe DG, Bradford YM, Conlin T, Eagle AE, Fashena D, Frazer K, Knight J, Mani P, Martin R, Moxon SA, Paddock H, Pich C, Ramachandran S, Ruef BJ, Ruzicka L, Schaper K, Shao X, Singer A, Sprunger B, Van Slyke CE, Westerfield M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks938","created_at":"2021-09-30T08:26:16.633Z","updated_at":"2021-09-30T08:26:16.633Z"},{"id":2170,"pubmed_id":17991680,"title":"The Zebrafish Information Network: the zebrafish model organism database provides expanded support for genotypes and phenotypes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm956","authors":"Sprague J., Bayraktaroglu L., Bradford Y. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm956","created_at":"2021-09-30T08:26:24.566Z","updated_at":"2021-09-30T08:26:24.566Z"}],"licence_links":[{"licence_name":"ZFIN Terms of Use","licence_id":882,"licence_url":"https://wiki.zfin.org/display/general/WARRANTY+AND+LIABILITY+DISCLAIMER%2C+OWNERSHIP%2C+AND+LIMITS+ON+USE","link_id":48,"relation":"undefined"}],"grants":[{"id":1672,"fairsharing_record_id":2106,"organisation_id":3110,"relation":"maintains","created_at":"2021-09-30T09:25:16.104Z","updated_at":"2021-09-30T09:25:16.104Z","grant_id":null,"is_lead":true,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2107","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-25T20:38:31.759Z","metadata":{"doi":"10.25504/FAIRsharing.se7ewy","name":"Compendium of Protein Lysine Modifications","status":"ready","contacts":[{"contact_name":"Yu Xue","contact_email":"xueyu@mail.hust.edu.cn"}],"homepage":"https://cplm.biocuckoo.cn/","citations":[{"doi":"10.1093/nar/gkab849","pubmed_id":null,"publication_id":4205}],"identifier":2107,"description":"CPLM (Compendium of Protein Lysine Modifications) is a database for various post-translational modifications (PTMs) specifically occurred at the side-chain amino group of lysine residues in proteins.","abbreviation":"CPLM","data_curation":{"type":"not found"},"support_links":[{"url":"https://cplm.biocuckoo.cn/Userguide.php","name":"User Guide","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000577","bsg-d000577"],"name":"FAIRsharing record for: Compendium of Protein Lysine Modifications","abbreviation":"CPLM","url":"https://fairsharing.org/10.25504/FAIRsharing.se7ewy","doi":"10.25504/FAIRsharing.se7ewy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CPLM (Compendium of Protein Lysine Modifications) is a database for various post-translational modifications (PTMs) specifically occurred at the side-chain amino group of lysine residues in proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein acetylation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1124,"pubmed_id":21059677,"title":"CPLA 1.0: an integrated database of protein lysine acetylation.","year":2010,"url":"http://doi.org/10.1093/nar/gkq939","authors":"Liu Z., Cao J., Gao X., Zhou Y., Wen L., Yang X., Yao X., Ren J., Xue Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq939","created_at":"2021-09-30T08:24:24.490Z","updated_at":"2021-09-30T08:24:24.490Z"},{"id":1169,"pubmed_id":24214993,"title":"CPLM: a database of protein lysine modifications.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1093","authors":"Liu Z,Wang Y,Gao T,Pan Z,Cheng H,Yang Q,Cheng Z,Guo A,Ren J,Xue Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1093","created_at":"2021-09-30T08:24:29.905Z","updated_at":"2021-09-30T11:29:01.801Z"},{"id":4205,"pubmed_id":null,"title":"CPLM 4.0: an updated database with rich annotations for protein lysine modifications","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab849","authors":"Zhang, Weizhi; Tan, Xiaodan; Lin, Shaofeng; Gou, Yujie; Han, Cheng; Zhang, Chi; Ning, Wanshan; Wang, Chenwei; Xue, Yu; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab849","created_at":"2024-03-25T19:31:13.448Z","updated_at":"2024-03-25T19:31:13.448Z"}],"licence_links":[],"grants":[{"id":1673,"fairsharing_record_id":2107,"organisation_id":1272,"relation":"maintains","created_at":"2021-09-30T09:25:16.141Z","updated_at":"2024-03-25T19:30:59.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":1272,"name":"Huazhong University of Science and Technology, China","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2090","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:36.584Z","metadata":{"doi":"10.25504/FAIRsharing.cpneh8","name":"LIPID MAPS","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@lipidmaps.org"}],"homepage":"http://www.lipidmaps.org","citations":[],"identifier":2090,"description":"LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003. We strive to produce new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. LIPID MAPS® is currently funded by a multi-institutional grant from Wellcome, held jointly by Cardiff University, University of California San Diego, the Babraham Institute Cambridge, and Swansea University, as well as an Innovation Study funded by ELIXIR. This current phase will see that LIPID MAPS® is maintained and importantly, further developed in line with the global demand and development of lipidomics. LIPID MAPS® has an internationally recognized classification system and the largest curated lipid structure database in the world.","abbreviation":"LIPID MAPS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.lipidmaps.org/resources/tutorials/index.html","type":"Training documentation"},{"url":"https://twitter.com/lipidmaps","type":"Twitter"},{"url":"https://www.lipidmaps.org/databases/lmsd/classification_updates","name":"Classification Updates","type":"Other"},{"url":"https://www.lipidmaps.org/databases/lmsd/overview","name":"Lipid Classification System Overview","type":"Help documentation"},{"url":"https://www.lipidmaps.org/resources/standard","name":"Standards","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012315","name":"re3data:r3d100012315","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006579","name":"SciCrunch:RRID:SCR_006579","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.lipidmaps.org/about/information","name":"Sustained Source Funding"},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.lipidmaps.org/about/information","name":"Data Preservation \u0026 Sustainability"},"data_deposition_condition":{"url":"https://www.lipidmaps.org/resources/data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000559","bsg-d000559"],"name":"FAIRsharing record for: LIPID MAPS","abbreviation":"LIPID MAPS","url":"https://fairsharing.org/10.25504/FAIRsharing.cpneh8","doi":"10.25504/FAIRsharing.cpneh8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003. We strive to produce new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. LIPID MAPS® is currently funded by a multi-institutional grant from Wellcome, held jointly by Cardiff University, University of California San Diego, the Babraham Institute Cambridge, and Swansea University, as well as an Innovation Study funded by ELIXIR. This current phase will see that LIPID MAPS® is maintained and importantly, further developed in line with the global demand and development of lipidomics. LIPID MAPS® has an internationally recognized classification system and the largest curated lipid structure database in the world.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18162}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Endocrinology","Life Science","Metabolomics","Biomedical Science","Omics","Systems Biology"],"domains":["Mass spectrum","Taxonomic classification","Lipid","Omics data analysis","Small molecule","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":518,"pubmed_id":17098933,"title":"LMSD: LIPID MAPS structure database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl838","authors":"Sud M., Fahy E., Cotter D., Brown A., Dennis EA., Glass CK., Merrill AH., Murphy RC., Raetz CR., Russell DW., Subramaniam S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl838","created_at":"2021-09-30T08:23:16.517Z","updated_at":"2021-09-30T08:23:16.517Z"},{"id":520,"pubmed_id":17584797,"title":"LIPID MAPS online tools for lipid research.","year":2007,"url":"http://doi.org/10.1093/nar/gkm324","authors":"Fahy E., Sud M., Cotter D., Subramaniam S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm324","created_at":"2021-09-30T08:23:16.759Z","updated_at":"2021-09-30T08:23:16.759Z"},{"id":2298,"pubmed_id":19098281,"title":"Update of the LIPID MAPS comprehensive classification system for lipids.","year":2008,"url":"http://doi.org/10.1194/jlr.R800095-JLR200","authors":"Fahy E,Subramaniam S,Murphy RC,Nishijima M,Raetz CR,Shimizu T,Spener F,van Meer G,Wakelam MJ,Dennis EA","journal":"J Lipid Res","doi":"10.1194/jlr.R800095-JLR200","created_at":"2021-09-30T08:26:41.097Z","updated_at":"2021-09-30T08:26:41.097Z"},{"id":4036,"pubmed_id":37855672,"title":"LIPID MAPS: update to databases and tools for the lipidomics community","year":2023,"url":"http://doi.org/10.1093/nar/gkad896","authors":"Conroy, Matthew J; Andrews, Robert M; Andrews, Simon; Cockayne, Lauren; Dennis, Edward A; Fahy, Eoin; Gaud, Caroline; Griffiths, William J; Jukes, Geoff; Kolchin, Maksim; Mendivelso, Karla; Lopez-Clavijo, Andrea F; Ready, Caroline; Subramaniam, Shankar; O’Donnell, Valerie B; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkad896","created_at":"2023-10-26T07:41:30.773Z","updated_at":"2023-10-26T07:41:30.773Z"},{"id":4037,"pubmed_id":33037133,"title":"Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures","year":2020,"url":"http://dx.doi.org/10.1194/jlr.s120001025","authors":"Liebisch, Gerhard; Fahy, Eoin; Aoki, Junken; Dennis, Edward A.; Durand, Thierry; Ejsing, Christer S.; Fedorova, Maria; Feussner, Ivo; Griffiths, William J.; Köfeler, Harald; Merrill, Alfred H.; Murphy, Robert C.; O'Donnell, Valerie B.; Oskolkova, Olga; Subramaniam, Shankar; Wakelam, Michael J.O.; Spener, Friedrich; ","journal":"Journal of Lipid Research","doi":"10.1194/jlr.s120001025","created_at":"2023-10-30T23:10:12.551Z","updated_at":"2023-10-30T23:10:12.551Z"},{"id":4038,"pubmed_id":23549332,"title":"Shorthand notation for lipid structures derived from mass spectrometry","year":2013,"url":"http://dx.doi.org/10.1194/jlr.m033506","authors":"Liebisch, Gerhard; Vizcaíno, Juan Antonio; Köfeler, Harald; Trötzmüller, Martin; Griffiths, William J.; Schmitz, Gerd; Spener, Friedrich; Wakelam, Michael J.O.; ","journal":"Journal of Lipid Research","doi":"10.1194/jlr.m033506","created_at":"2023-10-30T23:13:46.051Z","updated_at":"2023-10-30T23:13:46.051Z"},{"id":4039,"pubmed_id":15722563,"title":"A comprehensive classification system for lipids","year":2005,"url":"http://dx.doi.org/10.1194/jlr.e400004-jlr200","authors":"Fahy, Eoin; Subramaniam, Shankar; Brown, H. Alex; Glass, Christopher K.; Merrill, Alfred H.; Murphy, Robert C.; Raetz, Christian R.H.; Russell, David W.; Seyama, Yousuke; Shaw, Walter; Shimizu, Takao; Spener, Friedrich; van Meer, Gerrit; VanNieuwenhze, Michael S.; White, Stephen H.; Witztum, Joseph L.; Dennis, Edward A.; ","journal":"Journal of Lipid Research","doi":"10.1194/jlr.e400004-jlr200","created_at":"2023-10-30T23:15:16.392Z","updated_at":"2023-10-30T23:15:16.392Z"}],"licence_links":[{"licence_name":"LIPID MAPS Terms of Use","licence_id":493,"licence_url":"http://www.lipidmaps.org/about/terms_of_use.html","link_id":532,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":531,"relation":"undefined"}],"grants":[{"id":1621,"fairsharing_record_id":2090,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:14.065Z","updated_at":"2021-09-30T09:25:14.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1623,"fairsharing_record_id":2090,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:14.145Z","updated_at":"2021-09-30T09:25:14.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11054,"fairsharing_record_id":2090,"organisation_id":183,"relation":"maintains","created_at":"2023-10-26T07:46:02.402Z","updated_at":"2023-10-26T07:46:02.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11056,"fairsharing_record_id":2090,"organisation_id":3033,"relation":"collaborates_on","created_at":"2023-10-26T07:46:02.666Z","updated_at":"2023-10-26T07:46:02.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11055,"fairsharing_record_id":2090,"organisation_id":3926,"relation":"maintains","created_at":"2023-10-26T07:46:02.402Z","updated_at":"2023-10-26T07:46:02.402Z","grant_id":null,"is_lead":true,"saved_state":{"id":3926,"name":"Cardiff University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUlEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--aa80268b31c748cbe3f6d48ed7a806cf5657e34a/LM_logo%20400x400.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2091","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:54:13.776Z","metadata":{"doi":"10.25504/FAIRsharing.an4drj","name":"Knockout Mouse Project","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"mmrrc@ucdavis.edu"}],"homepage":"https://www.mmrrc.org/catalog/StrainCatalogSearchForm.php?search_query=KOMP%20Repository","citations":[],"identifier":2091,"description":"Knockout mutant mice strains. The KOMP repository is a resource of mouse embryonic stem (ES) cells containing a null mutation in every gene in the mouse genome. The KOMP collection of mice, ES Cells, and vectors are now distributed through the Mutant Mouse Resource and Research Center at UC Davis.","abbreviation":"KOMP","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.mmrrc.org/catalog/overview_Major_Collection.php#108","name":"About the KOMP Collection at the MMRRC","type":"Help documentation"},{"url":"https://mmrrc.ucdavis.edu/es-cell-protocols/","name":"ES Cell Protocols","type":"Help documentation"},{"url":"https://mmrrc.ucdavis.edu/genotyping-protocols/","name":"Genotyping Protocols","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-12-06","deprecation_reason":"KOMP Repository mice and ES cells are available from the MMRRC at UC Davis. You can find the KOMP Repository collection of lines in the MMRRC catalog, whose URL is now provided as the homepage for this record.. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000560","bsg-d000560"],"name":"FAIRsharing record for: Knockout Mouse Project","abbreviation":"KOMP","url":"https://fairsharing.org/10.25504/FAIRsharing.an4drj","doi":"10.25504/FAIRsharing.an4drj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Knockout mutant mice strains. The KOMP repository is a resource of mouse embryonic stem (ES) cells containing a null mutation in every gene in the mouse genome. The KOMP collection of mice, ES Cells, and vectors are now distributed through the Mutant Mouse Resource and Research Center at UC Davis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene knockout","Gene","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":543,"pubmed_id":15340423,"title":"The knockout mouse project.","year":2004,"url":"http://doi.org/10.1038/ng0904-921","authors":"Austin CP., et al.","journal":"Nat. Genet.","doi":"10.1038/ng0904-921","created_at":"2021-09-30T08:23:19.286Z","updated_at":"2021-09-30T08:23:19.286Z"}],"licence_links":[],"grants":[{"id":1624,"fairsharing_record_id":2091,"organisation_id":1922,"relation":"maintains","created_at":"2021-09-30T09:25:14.177Z","updated_at":"2021-09-30T09:25:14.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":1922,"name":"Mutant Mouse Resource and Research Center (MMRRC) at UC Davis","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1625,"fairsharing_record_id":2091,"organisation_id":2805,"relation":"maintains","created_at":"2021-09-30T09:25:14.212Z","updated_at":"2021-09-30T09:25:14.212Z","grant_id":null,"is_lead":true,"saved_state":{"id":2805,"name":"The Mouse Biology Program at UC Davis","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1626,"fairsharing_record_id":2091,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:14.244Z","updated_at":"2021-09-30T09:25:14.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2097","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:03:29.017Z","metadata":{"doi":"10.25504/FAIRsharing.vkr57k","name":"GWAS Central","status":"ready","contacts":[{"contact_name":"GWAS Central Helpdesk","contact_email":"help@gwascentral.org"}],"homepage":"https://www.gwascentral.org/","citations":[{"doi":"10.1093/nar/gkz895","pubmed_id":31612961,"publication_id":2886}],"identifier":2097,"description":"GWAS Central stores genome-wide association study data. The database content comprises direct submissions received from GWAS authors and consortia in addition to actively gathered data sets from various public sources. GWAS data are discoverable from the perspective of genetic markers, genes, genome regions or phenotypes, via graphical visualizations and detailed downloadable data reports.","abbreviation":"GWAS Central","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgkac1017","type":"manual/automated"},"support_links":[{"url":"tb143@leicester.ac.uk","name":"Tim Beck","type":"Support email"},{"url":"https://help.gwascentral.org/how-to-guides/","name":"How-To Guides","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.gwascentral.org","name":"Help Pages","type":"Help documentation"},{"url":"https://help.gwascentral.org/about/contact/","name":"Contact Information","type":"Help documentation"},{"url":"https://help.gwascentral.org/about/","name":"About GWAS Central","type":"Help documentation"},{"url":"https://help.gwascentral.org/category/news/","name":"News","type":"Help documentation"},{"url":"http://feeds.feedburner.com/gwascentral","name":"GWAS Central RSS","type":"Blog/News"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010565","name":"re3data:r3d100010565","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006170","name":"SciCrunch:RRID:SCR_006170","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://help.gwascentral.org/submit-data/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000566","bsg-d000566"],"name":"FAIRsharing record for: GWAS Central","abbreviation":"GWAS Central","url":"https://fairsharing.org/10.25504/FAIRsharing.vkr57k","doi":"10.25504/FAIRsharing.vkr57k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GWAS Central stores genome-wide association study data. The database content comprises direct submissions received from GWAS authors and consortia in addition to actively gathered data sets from various public sources. GWAS data are discoverable from the perspective of genetic markers, genes, genome regions or phenotypes, via graphical visualizations and detailed downloadable data reports.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12689}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Genetic marker","Phenotype","Gene","Genome-wide association study","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":545,"pubmed_id":18948288,"title":"HGVbaseG2P: a central genetic association database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn748","authors":"Thorisson GA., Lancaster O., Free RC., Hastings RK., Sarmah P., Dash D., Brahmachari SK., Brookes AJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn748","created_at":"2021-09-30T08:23:19.485Z","updated_at":"2021-09-30T08:23:19.485Z"},{"id":2886,"pubmed_id":31612961,"title":"GWAS Central: a comprehensive resource for the discovery and comparison of genotype and phenotype data from genome-wide association studies.","year":2019,"url":"http://doi.org/10.1093/nar/gkz895","authors":"Beck T,Shorter T,Brookes AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz895","created_at":"2021-09-30T08:27:55.263Z","updated_at":"2021-09-30T11:29:48.238Z"},{"id":3863,"pubmed_id":null,"title":"GWAS Central: an expanding resource for finding and visualising genotype and phenotype data from genome-wide association studies","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1017","authors":"Beck, Tim; Rowlands, Thomas; Shorter, Tom; Brookes, Anthony J; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1017","created_at":"2023-05-16T11:48:35.598Z","updated_at":"2023-05-16T11:48:35.598Z"}],"licence_links":[{"licence_name":"GWAS Central Disclaimer","licence_id":371,"licence_url":"https://help.gwascentral.org/disclaimer/","link_id":389,"relation":"undefined"}],"grants":[{"id":1642,"fairsharing_record_id":2097,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:25:14.949Z","updated_at":"2021-09-30T09:29:49.941Z","grant_id":425,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1641,"fairsharing_record_id":2097,"organisation_id":3077,"relation":"maintains","created_at":"2021-09-30T09:25:14.908Z","updated_at":"2021-09-30T09:25:14.908Z","grant_id":null,"is_lead":true,"saved_state":{"id":3077,"name":"University of Leicester, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcGdDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d472653a1daf7e0a8b010aa245612f40569ea230/gwas-central-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2098","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:12.541Z","metadata":{"doi":"10.25504/FAIRsharing.5ey5w6","name":"PseudoBase","status":"ready","contacts":[{"contact_name":"Eke van Batenburg","contact_email":"EkevanBatenburg2009@live.com"}],"homepage":"http://www.ekevanbatenburg.nl/pb","identifier":2098,"description":"PseudoBase is a collection of RNA pseudoknots that have been made available for retrieval to the scientific community.","abbreviation":"PseudoBase","data_curation":{"type":"manual"},"year_creation":1997,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010563","name":"re3data:r3d100010563","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ekevanbatenburg.nl/PKBASE/PKBPUT.HTML","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000567","bsg-d000567"],"name":"FAIRsharing record for: PseudoBase","abbreviation":"PseudoBase","url":"https://fairsharing.org/10.25504/FAIRsharing.5ey5w6","doi":"10.25504/FAIRsharing.5ey5w6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PseudoBase is a collection of RNA pseudoknots that have been made available for retrieval to the scientific community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science","Biomedical Science"],"domains":["Ribonucleic acid","Pathogen","Pseudoknot"],"taxonomies":["Anopheles gambiae","Bacillus subtilis","Bombyx mori","Bordetella pertussis","Bos taurus","Drosophila","Escherichia coli","Homo sapiens","Neurospora intermedia","Rattus rattus","Viruses"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":414,"pubmed_id":18988624,"title":"PseudoBase++: an extension of PseudoBase for easy searching, formatting and visualization of pseudoknots.","year":2008,"url":"http://doi.org/10.1093/nar/gkn806","authors":"Taufer M,Licon A,Araiza R,Mireles D,van Batenburg FH,Gultyaev AP,Leung MY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn806","created_at":"2021-09-30T08:23:05.006Z","updated_at":"2021-09-30T11:28:46.426Z"},{"id":548,"pubmed_id":10592225,"title":"PseudoBase: a database with RNA pseudoknots.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.201","authors":"van Batenburg FH., Gultyaev AP., Pleij CW., Ng J., Oliehoek J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.201","created_at":"2021-09-30T08:23:19.785Z","updated_at":"2021-09-30T08:23:19.785Z"},{"id":559,"pubmed_id":11125088,"title":"PseudoBase: structural information on RNA pseudoknots.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.194","authors":"van Batenburg FH., Gultyaev AP., Pleij CW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.194","created_at":"2021-09-30T08:23:21.085Z","updated_at":"2021-09-30T08:23:21.085Z"}],"licence_links":[],"grants":[{"id":1643,"fairsharing_record_id":2098,"organisation_id":3078,"relation":"maintains","created_at":"2021-09-30T09:25:14.987Z","updated_at":"2021-09-30T09:25:14.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":3078,"name":"University of Leiden, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1644,"fairsharing_record_id":2098,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:15.032Z","updated_at":"2021-09-30T09:25:15.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1645,"fairsharing_record_id":2098,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:15.070Z","updated_at":"2021-09-30T09:25:15.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2099","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-09T14:34:01.397Z","metadata":{"doi":"10.25504/FAIRsharing.h8r843","name":"PRINTS","status":"deprecated","contacts":[{"contact_name":"Teresa K Attwood","contact_email":"teresa.k.attwood@manchester.ac.uk"}],"homepage":"http://www.bioinf.manchester.ac.uk/dbbrowser/PRINTS/PRINTS.html","citations":[{"doi":"10.1093/nar/gkg030","pubmed_id":12520033,"publication_id":1584}],"identifier":2099,"description":"PRINTS is a collection of groups of conserved protein motifs, called fingerprints, used to define a protein family. A fingerprint is a group of conserved motifs used to characterize a protein family. Usually, the motifs do not overlap, though they may be contiguous in 3D space. Fingerprints can encode protein folds and functionalities more flexibly than single motifs. Please note that the last release of this database on the PRINTS website was in 2007.","abbreviation":"PRINTS","data_curation":{"type":"not found"},"support_links":[{"url":"http://130.88.97.239/PRINTS/printsman.html","name":"User Guide","type":"Help documentation"},{"url":"http://130.88.97.239/PRINTS/relnotes.html","name":"Release Notes","type":"Help documentation"},{"url":"http://130.88.97.239/PRINTS/whatsnew.html","name":"What's New","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/prints-a-protein-family-database-with-a-difference","name":"Prints a protein family database with a difference","type":"TeSS links to training materials"},{"url":"https://en.wikipedia.org/wiki/PRINTS","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1994,"data_versioning":"not found","associated_tools":[{"url":"http://www.bioinf.manchester.ac.uk/dbbrowser/fingerPRINTScan/","name":"FingerPRINTScan"}],"deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000568","bsg-d000568"],"name":"FAIRsharing record for: PRINTS","abbreviation":"PRINTS","url":"https://fairsharing.org/10.25504/FAIRsharing.h8r843","doi":"10.25504/FAIRsharing.h8r843","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRINTS is a collection of groups of conserved protein motifs, called fingerprints, used to define a protein family. A fingerprint is a group of conserved motifs used to characterize a protein family. Usually, the motifs do not overlap, though they may be contiguous in 3D space. Fingerprints can encode protein folds and functionalities more flexibly than single motifs. Please note that the last release of this database on the PRINTS website was in 2007.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12690}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology","Biology"],"domains":["Protein domain","Binding motif","Protein"],"taxonomies":["All"],"user_defined_tags":["Polypeptide motif"],"countries":["United Kingdom"],"publications":[{"id":1570,"pubmed_id":10705433,"title":"FingerPRINTScan: intelligent searching of the PRINTS motif database.","year":2000,"url":"http://doi.org/10.1093/bioinformatics/15.10.799","authors":"Scordis P., Flower DR., Attwood TK.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/15.10.799","created_at":"2021-09-30T08:25:16.003Z","updated_at":"2021-09-30T08:25:16.003Z"},{"id":1584,"pubmed_id":12520033,"title":"PRINTS and its automatic supplement, prePRINTS.","year":2003,"url":"http://doi.org/10.1093/nar/gkg030","authors":"Attwood TK,Bradley P,Flower DR,Gaulton A,Maudling N,Mitchell AL,Moulton G,Nordle A,Paine K,Taylor P,Uddin A,Zygouri C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg030","created_at":"2021-09-30T08:25:17.559Z","updated_at":"2021-09-30T11:29:14.711Z"},{"id":1586,"pubmed_id":22508994,"title":"The PRINTS database: a fine-grained protein sequence annotation and analysis resource--its status in 2012.","year":2012,"url":"http://doi.org/10.1093/database/bas019","authors":"Attwood TK,Coletta A,Muirhead G,Pavlopoulou A,Philippou PB,Popov I,Roma-Mateo C,Theodosiou A,Mitchell AL","journal":"Database (Oxford)","doi":"10.1093/database/bas019","created_at":"2021-09-30T08:25:17.852Z","updated_at":"2021-09-30T08:25:17.852Z"}],"licence_links":[],"grants":[{"id":1647,"fairsharing_record_id":2099,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.140Z","updated_at":"2021-09-30T09:25:15.140Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1646,"fairsharing_record_id":2099,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:15.104Z","updated_at":"2021-09-30T09:25:15.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1648,"fairsharing_record_id":2099,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:15.233Z","updated_at":"2021-09-30T09:25:15.233Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1649,"fairsharing_record_id":2099,"organisation_id":1318,"relation":"funds","created_at":"2021-09-30T09:25:15.270Z","updated_at":"2021-09-30T09:31:57.836Z","grant_id":1407,"is_lead":false,"saved_state":{"id":1318,"name":"IMPACT Europe","grant":"213037","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1651,"fairsharing_record_id":2099,"organisation_id":904,"relation":"funds","created_at":"2021-09-30T09:25:15.349Z","updated_at":"2021-09-30T09:32:02.027Z","grant_id":1437,"is_lead":false,"saved_state":{"id":904,"name":"EuroKUP COST Action","grant":"BM0702","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9217,"fairsharing_record_id":2099,"organisation_id":933,"relation":"funds","created_at":"2022-04-11T12:07:23.044Z","updated_at":"2022-04-11T12:07:23.062Z","grant_id":1663,"is_lead":false,"saved_state":{"id":933,"name":"European FP7 EMBRACE project","grant":"LHSG-CT-2004-512092","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2105","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:57:43.904Z","metadata":{"doi":"10.25504/FAIRsharing.ctwd7b","name":"Antimicrobial Peptide Database","status":"deprecated","contacts":[{"contact_name":"Guangshun Wang","contact_email":"gwang@unmc.edu"}],"homepage":"https://wangapd3.com/main.php","identifier":2105,"description":"The Antimicrobial Peptide Database (APD) contains information on antimicrobial peptides from across a wide taxonomic range. It includes a glossary, nomenclature, classification, information search, prediction, design, and statistics of AMPs. The antimicrobial peptides in this database contain less than 100 amino acid residues, are in the mature and active form, and primarily from natural sources, ranging from bacteria, fungi, plants, to animals.","abbreviation":"APD","data_curation":{"type":"not found"},"support_links":[{"url":"https://wangapd3.com/what_new.php","name":"News","type":"Blog/News"},{"url":"https://wangapd3.com/FAQ.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wangapd3.com/class.php","name":"Classification","type":"Help documentation"},{"url":"https://wangapd3.com/structure.php","name":"3D Structure","type":"Help documentation"},{"url":"https://wangapd3.com/tools.php","name":"Additional Tools","type":"Help documentation"},{"url":"https://wangapd3.com/Glossary_wang.php","name":"Glossary","type":"Help documentation"},{"url":"https://wangapd3.com/about.php","name":"About","type":"Help documentation"},{"url":"https://wangapd3.com/naming.php","name":"Nomenclature","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://aps.unmc.edu/AP/prediction/prediction_main.php","name":"analyze"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012901","name":"re3data:r3d100012901","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006606","name":"SciCrunch:RRID:SCR_006606","portal":"SciCrunch"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000574","bsg-d000574"],"name":"FAIRsharing record for: Antimicrobial Peptide Database","abbreviation":"APD","url":"https://fairsharing.org/10.25504/FAIRsharing.ctwd7b","doi":"10.25504/FAIRsharing.ctwd7b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Antimicrobial Peptide Database (APD) contains information on antimicrobial peptides from across a wide taxonomic range. It includes a glossary, nomenclature, classification, information search, prediction, design, and statistics of AMPs. The antimicrobial peptides in this database contain less than 100 amino acid residues, are in the mature and active form, and primarily from natural sources, ranging from bacteria, fungi, plants, to animals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Computational biological predictions","Peptide","Antimicrobial","Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":10,"pubmed_id":18957441,"title":"APD2: the updated antimicrobial peptide database and its application in peptide design.","year":2008,"url":"http://doi.org/10.1093/nar/gkn823","authors":"Wang G,Li X,Wang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn823","created_at":"2021-09-30T08:22:21.596Z","updated_at":"2021-09-30T11:28:41.482Z"},{"id":553,"pubmed_id":14681488,"title":"APD: the Antimicrobial Peptide Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh025","authors":"Wang Z., Wang G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh025","created_at":"2021-09-30T08:23:20.368Z","updated_at":"2021-09-30T08:23:20.368Z"},{"id":589,"pubmed_id":26602694,"title":"APD3: the antimicrobial peptide database as a tool for research and education.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1278","authors":"Wang G,Li X,Wang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1278","created_at":"2021-09-30T08:23:24.582Z","updated_at":"2021-09-30T11:28:47.527Z"}],"licence_links":[],"grants":[{"id":1671,"fairsharing_record_id":2105,"organisation_id":3104,"relation":"maintains","created_at":"2021-09-30T09:25:16.066Z","updated_at":"2021-09-30T09:25:16.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":3104,"name":"University of Nebraska Medical Center","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1670,"fairsharing_record_id":2105,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:16.025Z","updated_at":"2021-09-30T09:31:44.621Z","grant_id":1307,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01AI105147","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2089","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:51:57.966Z","metadata":{"doi":"10.25504/FAIRsharing.qje0v8","name":"Database of Interacting Proteins","status":"ready","contacts":[{"contact_name":"DIP General Contact","contact_email":"dip@mbi.ucla.edu"}],"homepage":"https://dip.doe-mbi.ucla.edu/dip/Main.cgi","citations":[{"doi":"10.1093/nar/gkh086","pubmed_id":14681454,"publication_id":1531}],"identifier":2089,"description":"The database of interacting protein (DIP) database stores experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. The data stored within the DIP database were curated, both manually by expert curators and automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the core DIP data.","abbreviation":"DIP","data_curation":{"url":"https://dip.doe-mbi.ucla.edu/dip/Main.cgi","type":"manual/automated","notes":"The data stored within the DIP database were curated, both, manually by expert curators and also automatically using computational approaches."},"support_links":[{"url":"https://dip.doe-mbi.ucla.edu/dip/Guide.cgi","name":"User Guide","type":"Help documentation"},{"url":"https://dip.doe-mbi.ucla.edu/dip/Stat.cgi","name":"Statistics","type":"Help documentation"},{"url":"https://dip.doe-mbi.ucla.edu/dip/Articles.cgi","name":"DIP-related Publications","type":"Help documentation"}],"year_creation":1999,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010670","name":"re3data:r3d100010670","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003167","name":"SciCrunch:RRID:SCR_003167","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dip.doe-mbi.ucla.edu/dip/Submissions.cgi","type":"controlled","notes":"Peer-reviewed protein interaction data should be submitted."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000558","bsg-d000558"],"name":"FAIRsharing record for: Database of Interacting Proteins","abbreviation":"DIP","url":"https://fairsharing.org/10.25504/FAIRsharing.qje0v8","doi":"10.25504/FAIRsharing.qje0v8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database of interacting protein (DIP) database stores experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. The data stored within the DIP database were curated, both manually by expert curators and automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the core DIP data.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10799},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10967},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11099},{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11216}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biology"],"domains":["Protein interaction","Network model","High-throughput screening","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1355,"pubmed_id":11125102,"title":"DIP: The Database of Interacting Proteins: 2001 update.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.239","authors":"Xenarios I,Fernandez E,Salwinski L,Duan XJ,Thompson MJ,Marcotte EM,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.239","created_at":"2021-09-30T08:24:51.598Z","updated_at":"2021-09-30T11:29:06.443Z"},{"id":1356,"pubmed_id":10592249,"title":"DIP: the database of interacting proteins.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.289","authors":"Xenarios I,Rice DW,Salwinski L,Baron MK,Marcotte EM,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.289","created_at":"2021-09-30T08:24:51.689Z","updated_at":"2021-09-30T11:29:06.584Z"},{"id":1527,"pubmed_id":11752321,"title":"DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.303","authors":"Xenarios I,Salwinski L,Duan XJ,Higney P,Kim SM,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.303","created_at":"2021-09-30T08:25:10.949Z","updated_at":"2021-09-30T11:29:12.485Z"},{"id":1531,"pubmed_id":14681454,"title":"The Database of Interacting Proteins: 2004 update.","year":2003,"url":"http://doi.org/10.1093/nar/gkh086","authors":"Salwinski L,Miller CS,Smith AJ,Pettit FK,Bowie JU,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh086","created_at":"2021-09-30T08:25:11.391Z","updated_at":"2021-09-30T11:29:12.826Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":118,"relation":"undefined"},{"licence_name":"DIP Terms of Use","licence_id":244,"licence_url":"https://dip.doe-mbi.ucla.edu/dip/termsofuse.html","link_id":126,"relation":"undefined"}],"grants":[{"id":1620,"fairsharing_record_id":2089,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:14.023Z","updated_at":"2021-09-30T09:25:14.023Z","grant_id":null,"is_lead":true,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2157","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-26T08:03:41.556Z","metadata":{"doi":"10.25504/FAIRsharing.jjka8c","name":"Knowledge Network for Biocomplexity","status":"ready","contacts":[{"contact_name":"KNB Help","contact_email":"knb-help@nceas.ucsb.edu","contact_orcid":"0000-0003-0077-4738"}],"homepage":"https://knb.ecoinformatics.org","citations":[],"identifier":2157,"description":"The Knowledge Network for Biocomplexity (KNB) is an international repository intended to facilitate ecological and environmental research. KNB was created to share, discover, access and interpret complex ecological data. Contextual information provided with KNB data allows scientists to integrate and analyze data. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The foundation of the KNB is the detailed metadata provided by researchers, which promotes both automated and manual integration of data into new projects. As part of the KNB effort, data management software is developed in a free and open source manner, so other groups can build upon the tools. The KNB is powered by the Metacat data management system, and is optimized for handling data sets described using the Ecological Metadata Language, but can store any XML-based metadata document.","abbreviation":"KNB","data_curation":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","type":"automated","notes":"The automated MetaDIG engine is used to provide quality assessment reports on each submitted dataset."},"support_links":[{"url":"https://knb.ecoinformatics.org/help","name":"Help Pages","type":"Help documentation"},{"url":"https://knb.ecoinformatics.org/profile","name":"Summary Statistics","type":"Help documentation"},{"url":"https://knb.ecoinformatics.org/knb/docs/","name":"Metacat Administrator's Guide","type":"Help documentation"},{"url":"https://knb.ecoinformatics.org/about","name":"About KNB","type":"Help documentation"},{"url":"https://twitter.com/nceas","name":"@nceas","type":"Twitter"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"https://knb.ecoinformatics.org/knb/docs","name":"Metacat"},{"url":"https://knb.ecoinformatics.org/tools","name":"Morpho"},{"url":"https://knb.ecoinformatics.org/tools","name":"DataONE R Client"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010092","name":"re3data:r3d100010092","portal":"re3data"}],"data_access_condition":{"url":"https://knb.ecoinformatics.org/about","type":"open"},"resource_sustainability":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","name":"\u003eAbout the KNB \u003e Partnered with DataONE \u003e provides a distributed framework and sustainable cyberinfrastructure"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","name":"\u003e Data preservation"},"data_deposition_condition":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000629","bsg-d000629"],"name":"FAIRsharing record for: Knowledge Network for Biocomplexity","abbreviation":"KNB","url":"https://fairsharing.org/10.25504/FAIRsharing.jjka8c","doi":"10.25504/FAIRsharing.jjka8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Knowledge Network for Biocomplexity (KNB) is an international repository intended to facilitate ecological and environmental research. KNB was created to share, discover, access and interpret complex ecological data. Contextual information provided with KNB data allows scientists to integrate and analyze data. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The foundation of the KNB is the detailed metadata provided by researchers, which promotes both automated and manual integration of data into new projects. As part of the KNB effort, data management software is developed in a free and open source manner, so other groups can build upon the tools. The KNB is powered by the Metacat data management system, and is optimized for handling data sets described using the Ecological Metadata Language, but can store any XML-based metadata document.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Ecology","Earth Science"],"domains":["Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1908,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3271,"relation":"undefined"}],"grants":[{"id":1828,"fairsharing_record_id":2157,"organisation_id":652,"relation":"maintains","created_at":"2021-09-30T09:25:21.994Z","updated_at":"2021-09-30T09:25:21.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":652,"name":"DataONE, Santa Barbara, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1827,"fairsharing_record_id":2157,"organisation_id":1961,"relation":"maintains","created_at":"2021-09-30T09:25:21.964Z","updated_at":"2021-09-30T09:25:21.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":1961,"name":"National Center for Ecological Analysis and Synthesis (NCEAS), Santa Barbara, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1829,"fairsharing_record_id":2157,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:22.036Z","updated_at":"2021-09-30T09:31:25.941Z","grant_id":1166,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB99-80154","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcndDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--5af5ca1c6af6d193f73b410250e30961909ab3d9/knb-logo-tile.png?disposition=inline","exhaustive_licences":false}},{"id":"2161","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:34.494Z","metadata":{"doi":"10.25504/FAIRsharing.6yw6cp","name":"PANGAEA - Data Publisher for Earth and Environmental Science","status":"ready","contacts":[{"contact_name":"Prof. Dr. Frank Oliver Glöckner","contact_email":"info@pangaea.de","contact_orcid":"0000-0001-8528-9023"}],"homepage":"https://www.pangaea.de","citations":[],"identifier":2161,"description":"PANGAEA - Data Publisher for Earth \u0026 Environmental Sciences has an almost 30-year history as an open-access library for archiving, publishing, and disseminating georeferenced data from the Earth, environmental, and biodiversity sciences. Originally evolving from a database for sediment cores, it is operated as a joint facility of the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) and the Center for Marine Environmental Sciences (MARUM) at the University of Bremen. PANGAEA holds a mandate from the World Meteorological Organization (WMO) and is accredited as a World Radiation Monitoring Center (WRMC). It was further accredited as a World Data Center by the International Council for Science (ICS) in 2001 and has been certified with the Core Trust Seal since 2019. \nThe successful cooperation between PANGAEA and the publishing industry along with the correspondent technical implementation enables the cross-referencing of scientific publications and datasets archived as supplements to these publications. PANGAEA is the recommended data repository of numerous international scientific journals.","abbreviation":"PANGAEA","data_curation":{"url":"https://www.pangaea.de/submit/","type":"manual/automated","notes":"All data and metadata are quality checked, harmonized, and processed for machine readability, which allows efficient and reliable re-usage of your data."},"support_links":[{"url":"https://secure.pangaea.de/contact/","name":"Contact Form","type":"Contact form"},{"url":"info@pangaea.de","name":"General Contact","type":"Support email"},{"url":"https://wiki.pangaea.de/wiki/Main_Page","name":"Help","type":"Help documentation"},{"url":"http://www.pangaea.de/tools/latest-datasets.rss","name":"RSS Feed","type":"Blog/News"}],"year_creation":1994,"data_versioning":"no","associated_tools":[{"url":"https://www.elastic.co/products/elasticsearch","name":"Elastic"},{"url":"http://www.panfmp.org","name":"PanFMP"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010134","name":"re3data:r3d100010134","portal":"re3data"}],"data_access_condition":{"url":"https://www.pangaea.de/about/","type":"open"},"resource_sustainability":{"url":"https://www.pangaea.de/about/continuity.php","name":"Continuity plan"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.pangaea.de/about/preservation.php","name":"Preservation plan"},"data_deposition_condition":{"url":"https://www.pangaea.de/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000633","bsg-d000633"],"name":"FAIRsharing record for: PANGAEA - Data Publisher for Earth and Environmental Science","abbreviation":"PANGAEA","url":"https://fairsharing.org/10.25504/FAIRsharing.6yw6cp","doi":"10.25504/FAIRsharing.6yw6cp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PANGAEA - Data Publisher for Earth \u0026 Environmental Sciences has an almost 30-year history as an open-access library for archiving, publishing, and disseminating georeferenced data from the Earth, environmental, and biodiversity sciences. Originally evolving from a database for sediment cores, it is operated as a joint facility of the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) and the Center for Marine Environmental Sciences (MARUM) at the University of Bremen. PANGAEA holds a mandate from the World Meteorological Organization (WMO) and is accredited as a World Radiation Monitoring Center (WRMC). It was further accredited as a World Data Center by the International Council for Science (ICS) in 2001 and has been certified with the Core Trust Seal since 2019. \nThe successful cooperation between PANGAEA and the publishing industry along with the correspondent technical implementation enables the cross-referencing of scientific publications and datasets archived as supplements to these publications. PANGAEA is the recommended data repository of numerous international scientific journals.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10985},{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12982}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Fisheries Science","Environmental Science","Paleontology","Geophysics","Chemistry","Ecology","Biodiversity","Earth Science","Atmospheric Science","Agriculture","Life Science","Freshwater Science","Oceanography","Biology"],"domains":["Marine environment"],"taxonomies":["All"],"user_defined_tags":["Paleoceanography"],"countries":["Germany"],"publications":[{"id":640,"pubmed_id":null,"title":"PANGAEA - an information system for environmental sciences","year":2002,"url":"http://doi.org/10.1016/S0098-3004(02)00039-0","authors":"Diepenbroek, M., Grobe, H., Reinke, M., Schindler, U., Schlitzer, R., Sieger, R., Wefer, G.","journal":"Computers \u0026 Geosciences","doi":"10.1016/S0098-3004(02)00039-0","created_at":"2021-09-30T08:23:30.451Z","updated_at":"2021-09-30T08:23:30.451Z"},{"id":3278,"pubmed_id":null,"title":"Terminology supported archiving and publication of environmental science data in PANGAEA","year":2017,"url":"http://dx.doi.org/10.1016/j.jbiotec.2017.07.016","authors":"Diepenbroek, Michael; Schindler, Uwe; Huber, Robert; Pesant, Stéphane; Stocker, Markus; Felden, Janine; Buss, Melanie; Weinrebe, Matthias; ","journal":"Journal of Biotechnology","doi":"10.1016/j.jbiotec.2017.07.016","created_at":"2022-03-26T09:19:50.492Z","updated_at":"2022-03-26T09:19:50.492Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2641,"relation":"applies_to_content"},{"licence_name":"Pangaea Terms of Use","licence_id":647,"licence_url":"https://www.pangaea.de/about/terms.php","link_id":1312,"relation":"undefined"}],"grants":[{"id":1838,"fairsharing_record_id":2161,"organisation_id":56,"relation":"maintains","created_at":"2021-09-30T09:25:22.350Z","updated_at":"2021-09-30T09:25:22.350Z","grant_id":null,"is_lead":true,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1839,"fairsharing_record_id":2161,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:22.386Z","updated_at":"2021-09-30T09:25:22.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1841,"fairsharing_record_id":2161,"organisation_id":427,"relation":"maintains","created_at":"2021-09-30T09:25:22.512Z","updated_at":"2021-09-30T09:25:22.512Z","grant_id":null,"is_lead":true,"saved_state":{"id":427,"name":"Center for Marine Environmental Sciences (MARUM), University of Bremen, Bremen, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1843,"fairsharing_record_id":2161,"organisation_id":1505,"relation":"funds","created_at":"2021-09-30T09:25:22.586Z","updated_at":"2021-09-30T09:25:22.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":1505,"name":"International Ocean Discovery Program (IODP), San Diego, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9338,"fairsharing_record_id":2161,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.475Z","updated_at":"2022-04-11T12:07:31.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9381,"fairsharing_record_id":2161,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:34.510Z","updated_at":"2022-04-11T12:07:34.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2162","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:34.348Z","metadata":{"doi":"10.25504/FAIRsharing.xd3wmy","name":"Environmental Data Initiative Data Portal","status":"ready","contacts":[{"contact_name":"Mark Servilla","contact_email":"mark.servilla@gmail.com","contact_orcid":"0000-0002-3192-7306"}],"homepage":"https://portal.edirepository.org/","citations":[],"identifier":2162,"description":"The Environmental Data Initiative is an NSF-funded project meant to accelerate curation and archive of environmental data. With mature repository functionality and data curators on staff it supports the large and varied community of environmental researchers. The repository is open to all environmental research data and hosts data that provide a context to evaluate the nature and pace of ecological change, to interpret its effects, and to forecast the range of future biological responses to change. DOIs are assigned making all datasets first class, citable research objects and strict version control allows for immutability while also supporting updates to long-term datasets.","abbreviation":"EDI Data Portal","data_curation":{"url":"https://edirepository.org/data/publish-data","type":"manual"},"support_links":[{"url":"https://environmentaldatainitiative.org/contact/","type":"Contact form"},{"url":"info@environmentaldatainitiative.org","type":"Support email"},{"url":"cgries@wisc.edu","name":"Corinna Gries","type":"Support email"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://portal.edirepository.org/nis/metadataPreviewer.jsp","name":"Metadata Previewer"},{"url":"https://github.com/EDIorg/EMLassemblyline","name":"Metadata editor EMLassemblyline in R 2.5.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010272","name":"re3data:r3d100010272","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://edirepository.org/data/publish-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000634","bsg-d000634"],"name":"FAIRsharing record for: Environmental Data Initiative Data Portal","abbreviation":"EDI Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.xd3wmy","doi":"10.25504/FAIRsharing.xd3wmy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Environmental Data Initiative is an NSF-funded project meant to accelerate curation and archive of environmental data. With mature repository functionality and data curators on staff it supports the large and varied community of environmental researchers. The repository is open to all environmental research data and hosts data that provide a context to evaluate the nature and pace of ecological change, to interpret its effects, and to forecast the range of future biological responses to change. DOIs are assigned making all datasets first class, citable research objects and strict version control allows for immutability while also supporting updates to long-term datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Plant Ecology","Environmental Science","Microbial Ecology","Zoology","Geophysics","Ecology","Natural Science","Earth Science","Atmospheric Science","Agriculture","Life Science","Microbiology","Oceanography","Biology","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["All"],"user_defined_tags":["Climate change"],"countries":["United States"],"publications":[{"id":2237,"pubmed_id":null,"title":"The contribution and reuse of LTER data in the Provenance Aware Synthesis Tracking Architecture (PASTA) data repository","year":2016,"url":"http://doi.org/https://doi.org/10.1016/j.ecoinf.2016.07.003","authors":"Mark Servilla. James Brunt. Duane Costa. Jeanine McGann. Robert Waide","journal":"Ecological Informatics","doi":"https://doi.org/10.1016/j.ecoinf.2016.07.003","created_at":"2021-09-30T08:26:32.088Z","updated_at":"2021-09-30T08:26:32.088Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":572,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":571,"relation":"undefined"}],"grants":[{"id":1844,"fairsharing_record_id":2162,"organisation_id":3106,"relation":"undefined","created_at":"2021-09-30T09:25:22.628Z","updated_at":"2021-09-30T09:25:22.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":3106,"name":"University of New Mexico","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":8036,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:33.254Z","updated_at":"2021-09-30T09:30:33.303Z","grant_id":762,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1931143","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1846,"fairsharing_record_id":2162,"organisation_id":3152,"relation":"undefined","created_at":"2021-09-30T09:25:22.703Z","updated_at":"2021-09-30T09:25:22.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":3152,"name":"University of Wisconsin-Madison","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":1845,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:22.666Z","updated_at":"2021-09-30T09:29:29.037Z","grant_id":265,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-1629233","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8078,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:48.638Z","updated_at":"2021-09-30T09:30:48.688Z","grant_id":881,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1931174","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8225,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:37.982Z","updated_at":"2021-09-30T09:31:38.034Z","grant_id":1258,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1565103","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2160","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:40.122Z","metadata":{"doi":"10.25504/FAIRsharing.fe48sc","name":"Moroccan Genetic Disease Database","status":"ready","contacts":[{"contact_name":"Hicham Charoute","contact_email":"hcharoute@hotmail.fr","contact_orcid":"0000-0002-9338-6744"}],"homepage":"http://mgdd.pasteur.ma/index.php","identifier":2160,"description":"The Moroccan Genetic Disease Database (MGDD) collect and document mutations and frequencies of polymorphisms reported in the Moroccan population. The information in the MGDD allow researchers and clinicians to find mutations associated to a given disease or gene of interest, and they can also find polymorphisms associated with susceptibility to a genetic disease or individual responses to pharmaceutical drugs or environmental factors.","abbreviation":"MGDD","data_curation":{"type":"not found"},"support_links":[{"url":"hamid.barakat@pasteur.ma","type":"Support email"},{"url":"http://mgdd.pasteur.ma/statistics.php","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://mgdd.pasteur.ma/submission.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000632","bsg-d000632"],"name":"FAIRsharing record for: Moroccan Genetic Disease Database","abbreviation":"MGDD","url":"https://fairsharing.org/10.25504/FAIRsharing.fe48sc","doi":"10.25504/FAIRsharing.fe48sc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Moroccan Genetic Disease Database (MGDD) collect and document mutations and frequencies of polymorphisms reported in the Moroccan population. The information in the MGDD allow researchers and clinicians to find mutations associated to a given disease or gene of interest, and they can also find polymorphisms associated with susceptibility to a genetic disease or individual responses to pharmaceutical drugs or environmental factors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Mutation","Genetic polymorphism","Genome-wide association study","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Morocco"],"publications":[{"id":639,"pubmed_id":23860041,"title":"The Moroccan Genetic Disease Database (MGDD): a database for DNA variations related to inherited disorders and disease susceptibility.","year":2013,"url":"http://doi.org/10.1038/ejhg.2013.151","authors":"Hicham Charoute, Halima Nahili, Omar Abidi, Khalid Gabi, Hassan Rouba, Malika Fakiri and Abdelhamid Barakat.","journal":"Eur J Hum Genet","doi":"10.1038/ejhg.2013.151","created_at":"2021-09-30T08:23:30.343Z","updated_at":"2021-09-30T08:23:30.343Z"}],"licence_links":[{"licence_name":"MIRTAR is free for academic and non-profit use","licence_id":516,"licence_url":"http://mirtarbase.mbc.nctu.edu.tw/cache/download/LICENSE","link_id":836,"relation":"undefined"}],"grants":[{"id":1837,"fairsharing_record_id":2160,"organisation_id":2293,"relation":"maintains","created_at":"2021-09-30T09:25:22.311Z","updated_at":"2021-09-30T09:25:22.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2293,"name":"Pasteur Institute of Morocco","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2156","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:07.768Z","metadata":{"doi":"10.25504/FAIRsharing.txkh36","name":"Database of Genomic Variants Archive","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"eva-helpdesk@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/dgva/","identifier":2156,"description":"The Database of Genomic Variants archive (DGVa) is a repository that provides archiving, accessioning and distribution of publicly available genomic structural variants, in all species.","abbreviation":"DGVa","data_curation":{"type":"not found"},"support_links":[{"url":"https://tess.elixir-europe.org/materials/dgva-quick-tour","name":"DGVa: Quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/dgva/dgva-quick-tour-ebi-train-online","name":"DGVa: Quick tour (EBI)","type":"Training documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010814","name":"re3data:r3d100010814","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004896","name":"SciCrunch:RRID:SCR_004896","portal":"SciCrunch"}],"deprecation_date":"2020-02-10","deprecation_reason":"This resource has been deprecated, with read-only access being available for a period of time.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000628","bsg-d000628"],"name":"FAIRsharing record for: Database of Genomic Variants Archive","abbreviation":"DGVa","url":"https://fairsharing.org/10.25504/FAIRsharing.txkh36","doi":"10.25504/FAIRsharing.txkh36","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Genomic Variants archive (DGVa) is a repository that provides archiving, accessioning and distribution of publicly available genomic structural variants, in all species.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10983}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics"],"domains":["Genetic polymorphism","Curated information","Structure","Sequence variant"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":616,"relation":"undefined"}],"grants":[{"id":1825,"fairsharing_record_id":2156,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:21.906Z","updated_at":"2021-09-30T09:25:21.906Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1826,"fairsharing_record_id":2156,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:21.939Z","updated_at":"2021-09-30T09:25:21.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2165","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:42.094Z","metadata":{"doi":"10.25504/FAIRsharing.8njqwk","name":"Candidate Cancer Gene Database","status":"ready","contacts":[{"contact_name":"Tim Starr","contact_email":"star0044@umn.edu","contact_orcid":"0000-0002-6308-3451"}],"homepage":"http://ccgd-starrlab.oit.umn.edu/","identifier":2165,"description":"The Candidate Cancer Gene Database (CCGD) was developed to disseminate the results of transposon-based forward genetic screens in mice that identify candidate cancer genes. The purpose of the database is to allow cancer researchers to quickly determine whether or not a gene, or list of genes, has been identified as a potential cancer driver in a forward genetic screen in mice.","abbreviation":"CCGD","data_curation":{"url":"http://ccgd-starrlab.oit.umn.edu/help.html","type":"manual"},"support_links":[{"url":"ccgd@umn.edu","type":"Support email"},{"url":"http://ccgd-starrlab.oit.umn.edu/tutorial.php","type":"Help documentation"},{"url":"http://ccgd-starrlab.oit.umn.edu/help.php","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://ccgd-starrlab.oit.umn.edu/help.html","type":"open","notes":"Information and publication citation should be sent to ccgd@umn.edu."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000637","bsg-d000637"],"name":"FAIRsharing record for: Candidate Cancer Gene Database","abbreviation":"CCGD","url":"https://fairsharing.org/10.25504/FAIRsharing.8njqwk","doi":"10.25504/FAIRsharing.8njqwk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Candidate Cancer Gene Database (CCGD) was developed to disseminate the results of transposon-based forward genetic screens in mice that identify candidate cancer genes. The purpose of the database is to allow cancer researchers to quickly determine whether or not a gene, or list of genes, has been identified as a potential cancer driver in a forward genetic screen in mice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Cancer","Transposable element","Gene"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1068,"pubmed_id":25190456,"title":"The Candidate Cancer Gene Database: a database of cancer driver genes from forward genetic screens in mice.","year":2014,"url":"http://doi.org/10.1093/nar/gku770","authors":"Abbott KL,Nyre ET,Abrahante J,Ho YY,Isaksson Vogel R,Starr TK","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku770","created_at":"2021-09-30T08:24:18.273Z","updated_at":"2021-09-30T11:28:57.893Z"}],"licence_links":[],"grants":[{"id":8034,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:32.393Z","updated_at":"2021-09-30T09:30:32.432Z","grant_id":755,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54-MD008620","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1849,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:25:22.811Z","updated_at":"2021-09-30T09:25:22.811Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1850,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:22.846Z","updated_at":"2021-09-30T09:28:53.684Z","grant_id":4,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"UL1TR000114","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7888,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:26.514Z","updated_at":"2021-09-30T09:29:26.564Z","grant_id":252,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U19CA157345-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7908,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:38.900Z","updated_at":"2021-09-30T09:29:38.952Z","grant_id":342,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P50CA101955","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8052,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:39.586Z","updated_at":"2021-09-30T09:30:39.630Z","grant_id":811,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P30-CA77598","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8127,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:06.304Z","updated_at":"2021-09-30T09:31:06.355Z","grant_id":1019,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5R00CA151672","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2166","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T14:09:22.914Z","metadata":{"doi":"10.25504/FAIRsharing.rhpjhv","name":"FlyMine","status":"ready","contacts":[{"contact_name":"FlyMine help desk","contact_email":"info@flymine.org"}],"homepage":"https://www.flymine.org","citations":[{"doi":"10.1186/gb-2007-8-7-r129","pubmed_id":17615057,"publication_id":1945}],"identifier":2166,"description":"FlyMine is an integrated database of genomic, expression and protein data for Drosophila, Anopheles and C. elegans. Its main focus is genomic and proteomics data for Drosophila and other insects. It provides access to integrated data at a number of different levels, from browsing to construction of complex queries, which can be executed on either single items or lists.","abbreviation":"FlyMine","data_curation":{"type":"not found"},"support_links":[{"url":"https://intermineorg.wordpress.com/","name":"InterMine blog","type":"Blog/News"},{"url":"https://intermineorg.wordpress.com/flymine/help/","name":"FlyMine Help","type":"Help documentation"},{"url":"https://intermineorg.wordpress.com/flymine/about/","name":"About FlyMine","type":"Help documentation"},{"url":"http://www.flymine.org/flymine/dataCategories.do","name":"Data Sources","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/flymine-intro-videos","name":"FlyMine intro videos","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2002,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000638","bsg-d000638"],"name":"FAIRsharing record for: FlyMine","abbreviation":"FlyMine","url":"https://fairsharing.org/10.25504/FAIRsharing.rhpjhv","doi":"10.25504/FAIRsharing.rhpjhv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FlyMine is an integrated database of genomic, expression and protein data for Drosophila, Anopheles and C. elegans. Its main focus is genomic and proteomics data for Drosophila and other insects. It provides access to integrated data at a number of different levels, from browsing to construction of complex queries, which can be executed on either single items or lists.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11537},{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11671}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Biology"],"domains":["Expression data","Protein interaction","Gene expression","Protein","Gene","Genome"],"taxonomies":["Anopheles gambiae","Caenorhabditis elegans","Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1945,"pubmed_id":17615057,"title":"FlyMine: an integrated database for Drosophila and Anopheles genomics.","year":2007,"url":"http://doi.org/10.1186/gb-2007-8-7-r129","authors":"Lyne R,Smith R,Rutherford K,Wakeling M,Varley A,Guillier F,Janssens H,Ji W,Mclaren P,North P,Rana D,Riley T,Sullivan J,Watkins X,Woodbridge M,Lilley K,Russell S,Ashburner M,Mizuguchi K,Micklem G","journal":"Genome Biol","doi":"10.1186/gb-2007-8-7-r129","created_at":"2021-09-30T08:25:58.864Z","updated_at":"2021-09-30T08:25:58.864Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":528,"relation":"undefined"}],"grants":[{"id":1851,"fairsharing_record_id":2166,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:22.873Z","updated_at":"2021-09-30T09:25:22.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1853,"fairsharing_record_id":2166,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:22.940Z","updated_at":"2021-09-30T09:25:22.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1852,"fairsharing_record_id":2166,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:25:22.897Z","updated_at":"2021-09-30T09:25:22.897Z","grant_id":null,"is_lead":true,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2167","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:19:57.448Z","metadata":{"doi":"10.25504/FAIRsharing.22z3re","name":"MouseMine @ MGI","status":"ready","contacts":[{"contact_name":"MouseMine support","contact_email":"support@mousemine.org"}],"homepage":"https://www.mousemine.org/mousemine/begin.do","citations":[{"doi":"10.1007/s00335-015-9573-z","pubmed_id":26092688,"publication_id":1361}],"identifier":2167,"description":"A database of integrated mouse data from MGI, powered by InterMine. MouseMine is member of InterMOD, a consortium of model organism databases dedicated to making cross-species data analysis easier through ongoing coordination and collaborative system development.","abbreviation":"MouseMine","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgkaa1083","type":"manual/automated"},"support_links":[{"url":"https://tess.elixir-europe.org/materials/mousemine-at-mgi","name":"MouseMine at MGI","type":"Help documentation"},{"url":"http://www.mousemine.org/mousemine/dataCategories.do","name":"Data Categories","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://proto.informatics.jax.org/prototypes/mgv/","name":"Multiple Genome Viewer"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.informatics.jax.org/submit.shtml","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000639","bsg-d000639"],"name":"FAIRsharing record for: MouseMine @ MGI","abbreviation":"MouseMine","url":"https://fairsharing.org/10.25504/FAIRsharing.22z3re","doi":"10.25504/FAIRsharing.22z3re","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database of integrated mouse data from MGI, powered by InterMine. MouseMine is member of InterMOD, a consortium of model organism databases dedicated to making cross-species data analysis easier through ongoing coordination and collaborative system development.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11672}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Expression data","Model organism","Disease process modeling","Phenotype","Disease","Genome"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1361,"pubmed_id":26092688,"title":"MouseMine: a new data warehouse for MGI.","year":2015,"url":"http://doi.org/10.1007/s00335-015-9573-z","authors":"Motenko H,Neuhauser SB,O'Keefe M,Richardson JE","journal":"Mamm Genome","doi":"10.1007/s00335-015-9573-z","created_at":"2021-09-30T08:24:52.193Z","updated_at":"2021-09-30T08:24:52.193Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":696,"relation":"undefined"}],"grants":[{"id":1855,"fairsharing_record_id":2167,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:22.989Z","updated_at":"2021-09-30T09:29:42.379Z","grant_id":367,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG004834","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1854,"fairsharing_record_id":2167,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:25:22.964Z","updated_at":"2021-09-30T09:25:22.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1856,"fairsharing_record_id":2167,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:23.019Z","updated_at":"2021-09-30T09:25:23.019Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2168","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:24.466Z","metadata":{"doi":"10.25504/FAIRsharing.1nshwd","name":"Open Source Brain","status":"ready","contacts":[{"contact_name":"Padraig Gleeson","contact_email":"p.gleeson@ucl.ac.uk","contact_orcid":"0000-0001-5963-8576"}],"homepage":"http://www.opensourcebrain.org","citations":[],"identifier":2168,"description":"Open Source Brain is a resource for sharing and collaboratively developing computational models of neural systems.","abbreviation":"OSB","data_curation":{"url":"https://docs.opensourcebrain.org/General/FAQ.html","type":"manual"},"support_links":[{"url":"https://groups.google.com/forum/#!forum/osb-discuss","type":"Mailing list"},{"url":"https://twitter.com/osbteam","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://docs.opensourcebrain.org/General/FAQ.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000640","bsg-d000640"],"name":"FAIRsharing record for: Open Source Brain","abbreviation":"OSB","url":"https://fairsharing.org/10.25504/FAIRsharing.1nshwd","doi":"10.25504/FAIRsharing.1nshwd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Source Brain is a resource for sharing and collaboratively developing computational models of neural systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Life Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":1857,"fairsharing_record_id":2168,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:23.069Z","updated_at":"2021-09-30T09:25:23.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2176","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-26T10:02:03.762Z","metadata":{"doi":"10.25504/FAIRsharing.jwra3e","name":"MobiDB","status":"ready","contacts":[{"contact_name":"Silvio C.E. Tosatto","contact_email":"silvio.tosatto@unipd.it","contact_orcid":"0000-0003-4525-7793"}],"homepage":"https://mobidb.org/","citations":[{"doi":"10.1093/nar/gkaa1058","pubmed_id":33237329,"publication_id":2019}],"identifier":2176,"description":"MobiDB is a database of intrinsically disordered regions (IDRs) and related features from various sources and prediction tools. Different levels of reliability and different features are reported as different and independent annotations. The database features three levels of annotation: manually curated, indirect and predicted. MobiDB annotates the binding modes of disordered proteins, whether they undergo disorder-to-order transitions or remain disordered in the bound state. In addition, disordered regions undergoing liquid-liquid phase separation or post-translational modifications are defined.","abbreviation":"MobiDB","data_curation":{"type":"automated"},"support_links":[{"url":"MobiDB@ngp-net.bio.unipd.it","name":"General Contact","type":"Support email"},{"url":"https://mobidb.org/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://mobidb.org/about","name":"About MobiDB","type":"Help documentation"},{"url":"https://mobidb.org/releaseNotes","name":"Release Notes","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/MobiDB","name":"MobiDB Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"https://github.com/BioComputingUP/MobiDB-lite","name":"MobiDB-lite"},{"url":"https://github.com/BioComputingUP/FLIPPER","name":"FLIPPER"},{"url":"https://ring.biocomputingup.it/","name":"RING"},{"url":"https://github.com/BioComputingUP/AlphaFold-disorder","name":"AlphaFold-disorder"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Data drawn from other repositories"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000649","bsg-d000649"],"name":"FAIRsharing record for: MobiDB","abbreviation":"MobiDB","url":"https://fairsharing.org/10.25504/FAIRsharing.jwra3e","doi":"10.25504/FAIRsharing.jwra3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MobiDB is a database of intrinsically disordered regions (IDRs) and related features from various sources and prediction tools. Different levels of reliability and different features are reported as different and independent annotations. The database features three levels of annotation: manually curated, indirect and predicted. MobiDB annotates the binding modes of disordered proteins, whether they undergo disorder-to-order transitions or remain disordered in the bound state. In addition, disordered regions undergoing liquid-liquid phase separation or post-translational modifications are defined.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11538}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Biology"],"domains":["Molecular structure","Binding","Post-translational protein modification","Curated information","Intrinsically disordered proteins","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":241,"pubmed_id":29136219,"title":"MobiDB 3.0: More annotations for intrinsic disorder, conformational diversity and interactions in proteins","year":2017,"url":"https://doi.org/10.1093/nar/gkx1071","authors":"Piovesan, D, Tabaro, F, Paladin, F, Necci, M, Mičetić, I, Camilloni, C, Davey, N, Dosztanyi, Z, Meszaros, B, Monzon, A, Parisi, G, Schad, E, Sormanni, P, Tompa, P, Vendruscolo, M, Vranken, W, Tosatto, SCE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1071","created_at":"2021-09-30T08:22:46.041Z","updated_at":"2021-09-30T11:28:29.062Z"},{"id":685,"pubmed_id":22661649,"title":"MobiDB: a comprehensive database of intrinsic protein disorder annotations.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts327","authors":"Di Domenico T, Walsh I, Martin AJ, Tosatto SC.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts327","created_at":"2021-09-30T08:23:35.504Z","updated_at":"2021-09-30T08:23:35.504Z"},{"id":688,"pubmed_id":25361972,"title":"MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins.","year":2014,"url":"http://doi.org/10.1093/nar/gku982","authors":"Emilio Potenza, Tomás Di Domenico, Ian Walsh, and Silvio C.E. Tosatto","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku982","created_at":"2021-09-30T08:23:35.836Z","updated_at":"2021-09-30T08:23:35.836Z"},{"id":2019,"pubmed_id":33237329,"title":"MobiDB: intrinsically disordered proteins in 2021.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1058","authors":"Piovesan D,Necci M,Escobedo N,Monzon AM,Hatos A,Micetic I,Quaglia F,Paladin L,Ramasamy P,Dosztanyi Z,Vranken WF,Davey NE,Parisi G,Fuxreiter M,Tosatto SCE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1058","created_at":"2021-09-30T08:26:07.452Z","updated_at":"2021-09-30T11:29:25.835Z"},{"id":4295,"pubmed_id":36416266,"title":"MobiDB: 10 years of intrinsically disordered proteins.","year":2023,"url":"https://doi.org/10.1093/nar/gkac1065","authors":"Piovesan D, Del Conte A, Clementel D, Monzon AM, Bevilacqua M, Aspromonte MC, Iserte JA, Orti FE, Marino-Buslje C, Tosatto SCE","journal":"Nucleic acids research","doi":"10.1093/nar/gkac1065","created_at":"2024-06-24T10:55:28.874Z","updated_at":"2024-06-24T10:55:28.874Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":482,"relation":"undefined"}],"grants":[{"id":9563,"fairsharing_record_id":2176,"organisation_id":844,"relation":"associated_with","created_at":"2022-05-26T13:29:36.282Z","updated_at":"2022-05-26T13:29:36.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":1880,"fairsharing_record_id":2176,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:23.901Z","updated_at":"2021-09-30T09:25:23.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1881,"fairsharing_record_id":2176,"organisation_id":3001,"relation":"maintains","created_at":"2021-09-30T09:25:23.932Z","updated_at":"2021-09-30T09:25:23.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":3001,"name":"University di Padova, Padova, Italy","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZTQ9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ec88f67f5dcd1730dbfa282ddd5b8c4b35ec4b5f/MobiDB_logo_(vector).png?disposition=inline","exhaustive_licences":false}},{"id":"2177","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-26T09:50:56.205Z","metadata":{"doi":"10.25504/FAIRsharing.pxnqyt","name":"RepeatsDB","status":"ready","contacts":[{"contact_name":"Silvio C.E. Tosatto","contact_email":"silvio.tosatto@unipd.it","contact_orcid":"0000-0003-4525-7793"}],"homepage":"https://repeatsdb.org/","citations":[],"identifier":2177,"description":"RepeatsDB (https://repeatsdb.org/) is a database of annotated tandem repeat protein structures. Tandem repeats pose a difficult problem for the analysis of protein structures, as the underlying sequence can be highly degenerate. Several repeat types haven been studied over the years, but their annotation was done in a case-by-case basis, thus making large-scale analysis difficult. We developed RepeatsDB to fill this gap. Using state-of-the-art repeat detection methods and manual curation, we systematically annotated the Protein Data Bank, predicting 10 745 repeat structures. In all, 2797 structures were classified according to a recently proposed classification schema, which was expanded to accommodate new findings. In addition, detailed annotations were performed in a subset of 321 proteins. These annotations feature information on start and end positions for the repeat regions and units. RepeatsDB is an ongoing effort to systematically classify and annotate structural protein repeats in a consistent way. It provides users with the possibility to access and download high-quality datasets either interactively or programmatically through web services.","abbreviation":"RepeatsDB","data_curation":{"url":"https://repeatsdb.org/about","type":"manual/automated","notes":"RepeatsDB features annotations for tandem repeat proteins."},"support_links":[{"url":"repeatsdb@ngp-net.bio.unipd.it","name":"","type":"Support email"},{"url":"https://repeatsdb.org/help","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"url":"https://repeatsdb.org/help","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000650","bsg-d000650"],"name":"FAIRsharing record for: RepeatsDB","abbreviation":"RepeatsDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pxnqyt","doi":"10.25504/FAIRsharing.pxnqyt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RepeatsDB (https://repeatsdb.org/) is a database of annotated tandem repeat protein structures. Tandem repeats pose a difficult problem for the analysis of protein structures, as the underlying sequence can be highly degenerate. Several repeat types haven been studied over the years, but their annotation was done in a case-by-case basis, thus making large-scale analysis difficult. We developed RepeatsDB to fill this gap. Using state-of-the-art repeat detection methods and manual curation, we systematically annotated the Protein Data Bank, predicting 10 745 repeat structures. In all, 2797 structures were classified according to a recently proposed classification schema, which was expanded to accommodate new findings. In addition, detailed annotations were performed in a subset of 321 proteins. These annotations feature information on start and end positions for the repeat regions and units. RepeatsDB is an ongoing effort to systematically classify and annotate structural protein repeats in a consistent way. It provides users with the possibility to access and download high-quality datasets either interactively or programmatically through web services.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Tandem repeat"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":686,"pubmed_id":24311564,"title":"RepeatsDB: a database of tandem repeat protein structures","year":2013,"url":"http://doi.org/10.1093/nar/gkt1175","authors":"Di Domenico T, Potenza E, Walsh I, Parra RG, Giollo M, Minervini G, Piovesan D, Ihsan A, Ferrari C, Kajava AV, Tosatto SC.","journal":"Nucleic Acids Research","doi":"doi:10.1093/nar/gkt1175","created_at":"2021-09-30T08:23:35.611Z","updated_at":"2021-09-30T08:23:35.611Z"},{"id":4298,"pubmed_id":33237313,"title":"RepeatsDB in 2021: improved data and extended classification for protein tandem repeat structures.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa1097","authors":"Paladin L, Bevilacqua M, Errigo S, Piovesan D, Mičetić I, Necci M, Monzon AM, Fabre ML, Lopez JL, Nilsson JF, Rios J, Menna PL, Cabrera M, Buitron MG, Kulik MG, Fernandez-Alberti S, Fornasari MS, Parisi G, Lagares A, Hirsh L, Andrade-Navarro MA, Kajava AV, Tosatto SCE","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa1097","created_at":"2024-06-24T11:26:19.914Z","updated_at":"2024-06-24T11:26:19.914Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":852,"relation":"undefined"}],"grants":[{"id":1882,"fairsharing_record_id":2177,"organisation_id":224,"relation":"maintains","created_at":"2021-09-30T09:25:23.970Z","updated_at":"2021-09-30T09:25:23.970Z","grant_id":null,"is_lead":false,"saved_state":{"id":224,"name":"BioComputing laboratory, University of Padua, Italy","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1883,"fairsharing_record_id":2177,"organisation_id":2657,"relation":"maintains","created_at":"2021-09-30T09:25:24.013Z","updated_at":"2021-09-30T09:25:24.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":2657,"name":"Structural Bioinformatics and Molecular Modelling Group, CRBM, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1884,"fairsharing_record_id":2177,"organisation_id":1361,"relation":"maintains","created_at":"2021-09-30T09:25:24.051Z","updated_at":"2021-09-30T09:25:24.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":1361,"name":"Institue of Molecular Biology, gGmbH, Mainz, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbmtFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--fa3ca5860484c14ec656b66520f35a81be329a05/rdb_v3.png?disposition=inline","exhaustive_licences":false}},{"id":"2179","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:36.631Z","metadata":{"doi":"10.25504/FAIRsharing.yk1krv","name":"Eukaryotic Promoter Database","status":"ready","contacts":[{"contact_name":"Philipp Bucher","contact_email":"ask-epd@googlegroups.com","contact_orcid":"0000-0003-4824-885X"}],"homepage":"https://epd.expasy.org","citations":[],"identifier":2179,"description":"The Eukaryotic Promoter Database (EPD) provides accurate transcription start site (TSS) information for promoters of 15 model organisms, from human to yeast to the malaria parasite Plasmodium falciparum. While the original database was a manually curated database based on published experiments, new promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources. Corresponding functional genomics data can be viewed in a genome browser, queried or analyzed via web interfaces, or exported in standard formats like FASTA or BED for subsequent analysis with other tools; of note, EPD is tightly integrated with two tool suites developed by our group: ChIP-Seq and Signal Search Analysis, for analysis of chromatin context and sequence motif respectively. EPD provides promoter viewers, designed with the aim of integrating and displaying information from different sources about, for instance, histone marks, transcription factor-binding sites or SNPs with known phenotypes. These viewers rely upon the UCSC genome browser as a visualization platform, which enables users to view data tracks from EPD jointly with tracks from UCSC or public track hubs.","abbreviation":"EPD","data_curation":{"type":"automated","notes":"New promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources."},"support_links":[{"url":"https://epd.expasy.org/webmail.php","type":"Contact form"},{"url":"https://epd.expasy.org/epd/documents.php","type":"Help documentation"},{"url":"https://twitter.com/EPD_SIB","name":"@EPD_SIB","type":"Twitter"}],"year_creation":1988,"data_versioning":"no","associated_tools":[{"url":"https://epd.expasy.org/ssa/","name":"Signal Search Analysis 2.0"},{"url":"https://epd.expasy.org/chipseq/","name":"ChIP-Seq 1.3"},{"url":"https://epd.expasy.org/epd/EPDnew_study.php","name":"EPDnew analysis tool"},{"url":"https://www.expasy.org/genomics","name":"ExPASy Tools"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000653","bsg-d000653"],"name":"FAIRsharing record for: Eukaryotic Promoter Database","abbreviation":"EPD","url":"https://fairsharing.org/10.25504/FAIRsharing.yk1krv","doi":"10.25504/FAIRsharing.yk1krv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Eukaryotic Promoter Database (EPD) provides accurate transcription start site (TSS) information for promoters of 15 model organisms, from human to yeast to the malaria parasite Plasmodium falciparum. While the original database was a manually curated database based on published experiments, new promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources. Corresponding functional genomics data can be viewed in a genome browser, queried or analyzed via web interfaces, or exported in standard formats like FASTA or BED for subsequent analysis with other tools; of note, EPD is tightly integrated with two tool suites developed by our group: ChIP-Seq and Signal Search Analysis, for analysis of chromatin context and sequence motif respectively. EPD provides promoter viewers, designed with the aim of integrating and displaying information from different sources about, for instance, histone marks, transcription factor-binding sites or SNPs with known phenotypes. These viewers rely upon the UCSC genome browser as a visualization platform, which enables users to view data tracks from EPD jointly with tracks from UCSC or public track hubs.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11364},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12174}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["DNA sequence data","Transcription factor","Promoter"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":205,"pubmed_id":9399872,"title":"The Eukaryotic Promoter Database EPD.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.353","authors":"Cavin Périer R, Junier T, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/26.1.353","created_at":"2021-09-30T08:22:42.347Z","updated_at":"2021-09-30T08:22:42.347Z"},{"id":681,"pubmed_id":10592254,"title":"The eukaryotic promoter database (EPD).","year":1999,"url":"http://doi.org/10.1093/nar/28.1.302","authors":"Périer RC, Praz V, Junier T, Bonnard C, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/28.1.302","created_at":"2021-09-30T08:23:35.044Z","updated_at":"2021-09-30T08:23:35.044Z"},{"id":683,"pubmed_id":9847211,"title":"The Eukaryotic Promoter Database (EPD): recent developments.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.307","authors":"Périer RC, Junier T, Bonnard C, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/27.1.307","created_at":"2021-09-30T08:23:35.294Z","updated_at":"2021-09-30T08:23:35.294Z"},{"id":1428,"pubmed_id":3808945,"title":"Compilation and analysis of eukaryotic POL II promoter sequences","year":1986,"url":"http://doi.org/10.1093/nar/14.24.10009","authors":"Bucher,P. and Trifonov,E.N.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/14.24.10009","created_at":"2021-09-30T08:24:59.693Z","updated_at":"2021-09-30T08:24:59.693Z"},{"id":1429,"pubmed_id":25378343,"title":"The Eukaryotic Promoter Database: expansion of EPDnew and new promoter analysis tools.","year":2014,"url":"http://doi.org/10.1093/nar/gku1111","authors":"Dreos, R., Ambrosini, G., Périer, R., Bucher, P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gku1111","created_at":"2021-09-30T08:24:59.802Z","updated_at":"2021-09-30T08:24:59.802Z"},{"id":2554,"pubmed_id":23193273,"title":"EPD and EPDnew, high-quality promoter resources in the next-generation sequencing era.","year":2012,"url":"http://doi.org/10.1093/nar/gks1233","authors":"Dreos R, Ambrosini G, Cavin Périer R, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gks1233","created_at":"2021-09-30T08:27:13.233Z","updated_at":"2021-09-30T08:27:13.233Z"},{"id":2555,"pubmed_id":16381980,"title":"EPD in its twentieth year: towards complete promoter coverage of selected model organisms.","year":2005,"url":"http://doi.org/10.1093/nar/gkj146","authors":"Schmid CD, Perier R, Praz V, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gkj146","created_at":"2021-09-30T08:27:13.343Z","updated_at":"2021-09-30T08:27:13.343Z"},{"id":2557,"pubmed_id":14681364,"title":"The Eukaryotic Promoter Database EPD: the impact of in silico primer extension.","year":2003,"url":"http://doi.org/10.1093/nar/gkh122","authors":"Schmid CD, Praz V, Delorenzi M, Périer R, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gkh122","created_at":"2021-09-30T08:27:13.678Z","updated_at":"2021-09-30T08:27:13.678Z"},{"id":2559,"pubmed_id":11752326,"title":"The Eukaryotic Promoter Database, EPD: new entry types and links to gene expression data.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.322","authors":"Praz V, Périer R, Bonnard C, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/30.1.322","created_at":"2021-09-30T08:27:13.894Z","updated_at":"2021-09-30T08:27:13.894Z"},{"id":3502,"pubmed_id":27899657,"title":"The eukaryotic promoter database in its 30th year: focus on non-vertebrate organisms.","year":2017,"url":"https://doi.org/10.1093/nar/gkw1069","authors":"Dreos R, Ambrosini G, Groux R, Cavin Périer R, Bucher P","journal":"Nucleic acids research","doi":"10.1093/nar/gkw1069","created_at":"2022-08-02T07:52:26.774Z","updated_at":"2022-08-02T07:52:26.774Z"}],"licence_links":[],"grants":[{"id":1890,"fairsharing_record_id":2179,"organisation_id":2680,"relation":"funds","created_at":"2021-09-30T09:25:24.281Z","updated_at":"2021-09-30T09:29:22.819Z","grant_id":221,"is_lead":false,"saved_state":{"id":2680,"name":"Federal Statistical Office","grant":"95.0236-1","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1889,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:25:24.258Z","updated_at":"2021-09-30T09:30:56.030Z","grant_id":940,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"31003A_125193","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1888,"fairsharing_record_id":2179,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:24.225Z","updated_at":"2022-08-02T07:50:56.567Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8158,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:31:15.623Z","updated_at":"2021-09-30T09:31:15.683Z","grant_id":1091,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"31-063933","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8194,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:31:26.914Z","updated_at":"2021-09-30T09:31:26.962Z","grant_id":1173,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"31-54782.98","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8265,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:31:49.690Z","updated_at":"2021-09-30T09:31:49.746Z","grant_id":1345,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"3100A0-104248","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbTRCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--2bb2563b5fffe908d33560e31bf9e6885ac40441/Screenshot%20from%202022-08-02%2008-47-48.png?disposition=inline","exhaustive_licences":false}},{"id":"2180","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:57.777Z","metadata":{"doi":"10.25504/FAIRsharing.zvh04m","name":"Alternative Poly(A) Sites database 2.0","status":"ready","contacts":[{"contact_name":"Leiming You","contact_email":"youleiming@126.com","contact_orcid":"0000-0002-8120-8916"},{"contact_name":"Leiming You","contact_email":"youleiming@bucm.edu.cn","contact_orcid":"0000-0002-8120-8916"}],"homepage":"http://genome.bucm.edu.cn/utr/","citations":[{"doi":"10.1093/nar/gku1076","pubmed_id":25378337,"publication_id":693}],"identifier":2180,"description":"APASdb provides information on Alternative Poly(A) (APA) isoforms for all genes. It describes heterogeneous cleavage sites downstream of poly(A) signals, and maintains near complete coverage for APA sites. APASdb provides the quantification of a given APA variant among transcripts with different APA sites by computing their corresponding normalized-reads. In addition, APASdb supports URL-based retrieval, browsing and display of exon-intron structure, poly(A) signals, poly(A) sites location and usage reads, and 3'-untranslated regions (3'-UTRs). Currently, APASdb involves APA in various biological processes and diseases in human, mouse and zebrafish.","abbreviation":"APASdb 2.0","data_curation":{"url":"https://doi.org/10.1093/nar/gku1076","type":"automated","notes":"Automated annotation of experimental data"},"support_links":[{"url":"http://genome.bucm.edu.cn/utr/mail.php","name":"Contact us","type":"Contact form"},{"url":"http://genome.bucm.edu.cn/utr/APASdbs_help.php","name":"Help Page","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://academic.oup.com/nar/article/43/D1/D59/2437386#87007188","type":"not applicable","notes":"Data is from the owning project only"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000654","bsg-d000654"],"name":"FAIRsharing record for: Alternative Poly(A) Sites database 2.0","abbreviation":"APASdb 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.zvh04m","doi":"10.25504/FAIRsharing.zvh04m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: APASdb provides information on Alternative Poly(A) (APA) isoforms for all genes. It describes heterogeneous cleavage sites downstream of poly(A) signals, and maintains near complete coverage for APA sites. APASdb provides the quantification of a given APA variant among transcripts with different APA sites by computing their corresponding normalized-reads. In addition, APASdb supports URL-based retrieval, browsing and display of exon-intron structure, poly(A) signals, poly(A) sites location and usage reads, and 3'-untranslated regions (3'-UTRs). Currently, APASdb involves APA in various biological processes and diseases in human, mouse and zebrafish.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenetics","Life Science"],"domains":["DNA sequence data","RNA modification","Regulation of gene expression","RNA polyadenylation","Untranslated region"],"taxonomies":["Branchiostoma floridae","Branchiostoma lanceolatum","Danio rerio","Homo sapiens","Mus musculus","Branchiostoma belcheri"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":693,"pubmed_id":25378337,"title":"APASdb: a database describing alternative poly(A) sites and selection of heterogeneous cleavage sites downstream of poly(A) signals.","year":2014,"url":"http://doi.org/10.1093/nar/gku1076","authors":"You L, Wu J, Feng Y, Fu Y, Guo Y, Long L, Zhang H, Luan Y, Tian P, Chen L, Huang G, Huang S, Li Y, Li J, Chen C, Zhang Y, Chen S, Xu A","journal":"Nucleic Acid Research","doi":"10.1093/nar/gku1076","created_at":"2021-09-30T08:23:36.378Z","updated_at":"2021-09-30T08:23:36.378Z"}],"licence_links":[],"grants":[{"id":1891,"fairsharing_record_id":2180,"organisation_id":194,"relation":"maintains","created_at":"2021-09-30T09:25:24.306Z","updated_at":"2023-04-04T06:21:14.217Z","grant_id":null,"is_lead":true,"saved_state":{"id":194,"name":"Beijing University of Chinese Medicine, China","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":1892,"fairsharing_record_id":2180,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:25:24.331Z","updated_at":"2021-09-30T09:29:01.408Z","grant_id":59,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2013CB835304","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7883,"fairsharing_record_id":2180,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:24.200Z","updated_at":"2021-09-30T09:29:24.249Z","grant_id":233,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2011CB946101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8375,"fairsharing_record_id":2180,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:20.017Z","updated_at":"2021-09-30T09:32:20.069Z","grant_id":1571,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2013CB917800","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbjBDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b4acee4909db1558846bbb53a35f7504ea33be06/APASdb_3UTR_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2169","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-12-06T10:49:21.166Z","metadata":{"doi":"10.25504/FAIRsharing.vszknv","name":"Nuclear Receptor Signaling Atlas","status":"deprecated","contacts":[{"contact_name":"Neil McKenna","contact_email":"nmckenna@bcm.edu","contact_orcid":"0000-0001-6689-0104"}],"homepage":"http://www.nursa.org","identifier":2169,"description":"The mission of NURSA is to accrue, develop, and communicate information that advances our understanding of the roles of nuclear receptors (NRs) and coregulators in human physiology and disease.","abbreviation":"NURSA","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NURSATweets","type":"Twitter"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://www.nursa.org/transcriptomine","name":"Transcriptomine 1.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011298","name":"re3data:r3d100011298","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003287","name":"SciCrunch:RRID:SCR_003287","portal":"SciCrunch"}],"deprecation_date":"2019-11-01","deprecation_reason":"This resource has been retired.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000641","bsg-d000641"],"name":"FAIRsharing record for: Nuclear Receptor Signaling Atlas","abbreviation":"NURSA","url":"https://fairsharing.org/10.25504/FAIRsharing.vszknv","doi":"10.25504/FAIRsharing.vszknv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mission of NURSA is to accrue, develop, and communicate information that advances our understanding of the roles of nuclear receptors (NRs) and coregulators in human physiology and disease.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10802},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11105}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Transcriptomics","Cell Biology","Biomedical Science"],"domains":["Expression data","Nuclear receptor","Disease"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":653,"pubmed_id":19423650,"title":"Minireview: Evolution of NURSA, the Nuclear Receptor Signaling Atlas.","year":2009,"url":"http://doi.org/10.1210/me.2009-0135","authors":"McKenna NJ, Cooney AJ, DeMayo FJ, Downes M, Glass CK, Lanz RB, Lazar MA, Mangelsdorf DJ, Moore DD, Qin J, Steffen DL, Tsai MJ, Tsai SY, Yu R, Margolis RN, Evans RM, O'Malley BW.","journal":"Molecular Endocrinology","doi":"10.1210/me.2009-0135","created_at":"2021-09-30T08:23:32.035Z","updated_at":"2021-09-30T08:23:32.035Z"},{"id":697,"pubmed_id":16381851,"title":"Nuclear Receptor Signaling Atlas (www.nursa.org): hyperlinking the nuclear receptor signaling community.","year":2005,"url":"http://doi.org/10.1093/nar/gkj029","authors":"Lanz RB., Jericevic Z., Zuercher WJ., Watkins C., Steffen DL., Margolis R., McKenna NJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj029","created_at":"2021-09-30T08:23:36.870Z","updated_at":"2021-09-30T08:23:36.870Z"}],"licence_links":[],"grants":[{"id":1858,"fairsharing_record_id":2169,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:25:23.099Z","updated_at":"2021-09-30T09:25:23.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1859,"fairsharing_record_id":2169,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:23.128Z","updated_at":"2021-09-30T09:25:23.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1860,"fairsharing_record_id":2169,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:25:23.157Z","updated_at":"2021-09-30T09:29:50.826Z","grant_id":432,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK097748","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2170","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:39:48.023Z","metadata":{"doi":"10.25504/FAIRsharing.6gz84c","name":"Bio2RDF","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com","contact_orcid":"0000-0003-4727-9435"}],"homepage":"http://bio2rdf.org","identifier":2170,"description":"Bio2RDF is an open-source project that uses Semantic Web technologies to build and provide the largest network of Linked Data for the Life Sciences. Bio2RDF defines a set of simple conventions to create RDF(S) compatible Linked Data from a diverse set of heterogeneously formatted sources obtained from multiple data providers.","abbreviation":"Bio2RDF","data_curation":{"type":"none"},"support_links":[{"url":"https://groups.google.com/forum/?fromgroups#!forum/bio2rdf","type":"Forum"},{"url":"https://github.com/bio2rdf/bio2rdf-scripts/wiki/Bio2RDF-Tutorials","type":"Github"},{"url":"https://twitter.com/bio2rdf","type":"Twitter"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000642","bsg-d000642"],"name":"FAIRsharing record for: Bio2RDF","abbreviation":"Bio2RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.6gz84c","doi":"10.25504/FAIRsharing.6gz84c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bio2RDF is an open-source project that uses Semantic Web technologies to build and provide the largest network of Linked Data for the Life Sciences. Bio2RDF defines a set of simple conventions to create RDF(S) compatible Linked Data from a diverse set of heterogeneously formatted sources obtained from multiple data providers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1639,"pubmed_id":18472304,"title":"Bio2RDF: towards a mashup to build bioinformatics knowledge systems.","year":2008,"url":"http://doi.org/10.1016/j.jbi.2008.03.004","authors":"Belleau F,Nolin MA,Tourigny N,Rigault P,Morissette J","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2008.03.004","created_at":"2021-09-30T08:25:23.595Z","updated_at":"2021-09-30T08:25:23.595Z"}],"licence_links":[{"licence_name":"bio2rdf Terms of Use","licence_id":75,"licence_url":"https://github.com/bio2rdf/bio2rdf-scripts/wiki/Terms-of-use","link_id":849,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":916,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2171","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:16:10.059Z","metadata":{"doi":"10.25504/FAIRsharing.dq83p6","name":"Kidney and Urinary Pathway Knowledgebase","status":"deprecated","contacts":[{"contact_name":"Simon Jupp","contact_email":"jupp@ebi.ac.uk","contact_orcid":"0000-0002-0643-3144"}],"homepage":"http://www.kupkb.org","identifier":2171,"description":"The KUPKB is a collection of omics datasets that have been extracted from scientific publications and other related renal databases. The iKUP browser provides a single point of entry for you to query and browse these datasets.","abbreviation":"KUPKB","data_curation":{"type":"not found"},"support_links":[{"url":"support@kupkb.org","type":"Support email"},{"url":"jupp@ebi.ac.uk","type":"Support email"},{"url":"http://www.kupkb.org/#tab5","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/KUPKB_team","type":"Twitter"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://www.kupkb.org","name":"iKUP 1"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000643","bsg-d000643"],"name":"FAIRsharing record for: Kidney and Urinary Pathway Knowledgebase","abbreviation":"KUPKB","url":"https://fairsharing.org/10.25504/FAIRsharing.dq83p6","doi":"10.25504/FAIRsharing.dq83p6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The KUPKB is a collection of omics datasets that have been extracted from scientific publications and other related renal databases. The iKUP browser provides a single point of entry for you to query and browse these datasets.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12706}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Biomedical Science"],"domains":["Expression data","Kidney disease"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["France","United Kingdom"],"publications":[{"id":633,"pubmed_id":22345404,"title":"The KUPKB: a novel Web application to access multiomics data on kidney disease","year":2012,"url":"http://doi.org/10.1096/fj.11-194381","authors":"Julie Klein","journal":"FASEB","doi":"10.1096/fj.11-194381","created_at":"2021-09-30T08:23:29.652Z","updated_at":"2021-09-30T08:23:29.652Z"},{"id":634,"pubmed_id":21624162,"title":"Developing a kidney and urinary pathway knowledge base.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-S2-S7","authors":"Simon Jupp","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-S2-S7","created_at":"2021-09-30T08:23:29.761Z","updated_at":"2021-09-30T08:23:29.761Z"}],"licence_links":[],"grants":[{"id":1861,"fairsharing_record_id":2171,"organisation_id":837,"relation":"funds","created_at":"2021-09-30T09:25:23.191Z","updated_at":"2021-09-30T09:32:19.529Z","grant_id":1567,"is_lead":false,"saved_state":{"id":837,"name":"e-LICO","grant":"EU/FP7/ICT-2007.4.4","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2172","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:13.869Z","metadata":{"doi":"10.25504/FAIRsharing.ekrvbq","name":"euL1db, the European database of L1-HS retrotransposon insertions in humans","status":"ready","contacts":[{"contact_name":"Gael Cristofari","contact_email":"Gael.Cristofari@unice.fr","contact_orcid":"0000-0001-5620-3091"}],"homepage":"http://eul1db.unice.fr","citations":[{"doi":"10.1093/nar/gku1043","pubmed_id":25352549,"publication_id":679}],"identifier":2172,"description":"euL1db, the European database of L1-HS retrotransposon insertions in humans, provides a curated and comprehensive summary of L1-HS insertion polymorphisms identified in healthy or pathological human samples and published in peer-reviewed journals.","abbreviation":"euL1db","data_curation":{"url":"https://eul1db.ircan.org/Help.jsp","type":"manual/automated"},"support_links":[{"url":"http://eul1db.unice.fr/db/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"http://eul1db.unice.fr/db/Help.jsp","type":"Help documentation"},{"url":"https://twitter.com/retrogenomics","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://eul1db.unice.fr/Data.jsp","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000644","bsg-d000644"],"name":"FAIRsharing record for: euL1db, the European database of L1-HS retrotransposon insertions in humans","abbreviation":"euL1db","url":"https://fairsharing.org/10.25504/FAIRsharing.ekrvbq","doi":"10.25504/FAIRsharing.ekrvbq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: euL1db, the European database of L1-HS retrotransposon insertions in humans, provides a curated and comprehensive summary of L1-HS insertion polymorphisms identified in healthy or pathological human samples and published in peer-reviewed journals.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12707}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Biomedical Science"],"domains":["DNA sequence data","Genetic polymorphism","Structure","Transposable element","Retrotransposon"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":679,"pubmed_id":25352549,"title":"euL1db: the European database of L1HS retrotransposon insertions in humans","year":2014,"url":"http://doi.org/10.1093/nar/gku1043","authors":"Mir AA, Philippe C, Cristofari G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1043","created_at":"2021-09-30T08:23:34.844Z","updated_at":"2021-09-30T08:23:34.844Z"}],"licence_links":[],"grants":[{"id":1862,"fairsharing_record_id":2172,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:25:23.228Z","updated_at":"2021-09-30T09:25:23.228Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1865,"fairsharing_record_id":2172,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:23.345Z","updated_at":"2021-09-30T09:25:23.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1863,"fairsharing_record_id":2172,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:25:23.267Z","updated_at":"2021-09-30T09:25:23.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1864,"fairsharing_record_id":2172,"organisation_id":1445,"relation":"funds","created_at":"2021-09-30T09:25:23.303Z","updated_at":"2021-09-30T09:25:23.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":1445,"name":"Institut National Du Cancer, France","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9909,"fairsharing_record_id":2172,"organisation_id":3707,"relation":"funds","created_at":"2022-09-22T11:00:55.063Z","updated_at":"2022-09-22T11:00:55.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":3707,"name":"University Cote d'Azur","types":["University"],"is_lead":false,"relation":"funds"}},{"id":9910,"fairsharing_record_id":2172,"organisation_id":1974,"relation":"funds","created_at":"2022-09-22T11:00:55.063Z","updated_at":"2022-09-22T11:00:55.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2174","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:39:49.678Z","metadata":{"doi":"10.25504/FAIRsharing.51r558","name":"Protein-ligand affinity change upon mutation","status":"deprecated","contacts":[{"contact_name":"Douglas Pires","contact_email":"dpires@dcc.ufmg.br","contact_orcid":"0000-0002-3004-2119"}],"homepage":"http://structure.bioc.cam.ac.uk/platinum","identifier":2174,"description":"Platinum is a manually curated, literature-derived database comprising over 1,000 mutations which for the first time associates experimental information on changes in protein-ligand affinity with the three-dimensional structures of the complex.","abbreviation":"Platinum","data_curation":{"type":"not found"},"support_links":[{"url":"http://bleoberis.bioc.cam.ac.uk/platinum/contact","type":"Contact form"},{"url":"dascher@svi.edu.au","type":"Support email"},{"url":"http://bleoberis.bioc.cam.ac.uk/platinum/help","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[{"url":"http://structure.bioc.cam.ac.uk/mcsm","name":"mCSM 1.0"},{"url":"http://structure.bioc.cam.ac.uk/duet","name":"DUET 1.0"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000646","bsg-d000646"],"name":"FAIRsharing record for: Protein-ligand affinity change upon mutation","abbreviation":"Platinum","url":"https://fairsharing.org/10.25504/FAIRsharing.51r558","doi":"10.25504/FAIRsharing.51r558","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Platinum is a manually curated, literature-derived database comprising over 1,000 mutations which for the first time associates experimental information on changes in protein-ligand affinity with the three-dimensional structures of the complex.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12708}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein interaction","Mutation analysis","Small molecule"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Brazil","United Kingdom"],"publications":[{"id":677,"pubmed_id":25324307,"title":"Platinum: a database of experimentally measured effects of mutations on structurally defined protein-ligand complexes","year":2014,"url":"http://doi.org/10.1093/nar/gku966","authors":"Douglas E.V. Pires, Tom L. Blundell and David B. Ascher","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku966","created_at":"2021-09-30T08:23:34.644Z","updated_at":"2021-09-30T08:23:34.644Z"}],"licence_links":[],"grants":[{"id":1872,"fairsharing_record_id":2174,"organisation_id":2663,"relation":"maintains","created_at":"2021-09-30T09:25:23.632Z","updated_at":"2021-09-30T09:25:23.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":2663,"name":"St Vincent's Institute/Australia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1873,"fairsharing_record_id":2174,"organisation_id":1017,"relation":"maintains","created_at":"2021-09-30T09:25:23.660Z","updated_at":"2021-09-30T09:25:23.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":1017,"name":"Fiocruz Minas Centro de Pesquisas Rene Rachou (CPQRR), Belo Horizonte, MG, Brazil","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1875,"fairsharing_record_id":2174,"organisation_id":668,"relation":"maintains","created_at":"2021-09-30T09:25:23.715Z","updated_at":"2021-09-30T09:25:23.715Z","grant_id":null,"is_lead":false,"saved_state":{"id":668,"name":"Department of Biochemistry, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1874,"fairsharing_record_id":2174,"organisation_id":1994,"relation":"funds","created_at":"2021-09-30T09:25:23.690Z","updated_at":"2021-09-30T09:32:02.593Z","grant_id":1442,"is_lead":false,"saved_state":{"id":1994,"name":"National Health and Medical Research Council (NHMRC), Australia","grant":"APP1072476","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2192","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T20:23:46.000Z","updated_at":"2023-12-15T10:32:16.780Z","metadata":{"doi":"10.25504/FAIRsharing.npf403","name":"Swedish Ocean Archive","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"shark@smhi.se"}],"homepage":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data","identifier":2192,"description":"SHARK (\"Svenskt HavsARKiv\" / \"Swedish Ocean Archive\") contains marine environmental monitoring data from the seas surrounding Sweden. SHARK is accessed via SHARKweb (for human-readable content) and SHARKdata (for computational access). Content includes marine physical, chemical and biological data collected within Swedish environmental monitoring programs.","abbreviation":"SHARK","data_curation":{"type":"not found"},"support_links":[{"url":"smhi@smhi.se","name":"SMHI Contact","type":"Support email"},{"url":"http://sharkdata.se/examplecode/","name":"Example Code","type":"Help documentation"},{"url":"http://sharkdata.se/documentation/","name":"Documentation","type":"Help documentation"},{"url":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/deliver-data-1.153151","name":"How to Submit Data","type":"Help documentation"},{"url":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/download-data-1.153150","name":"How to Download Data","type":"Help documentation"},{"url":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/how-the-swedish-archive-for-oceanography-works-1.153153","name":"About SHARK","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/deliver-data-1.153151","type":"open","notes":"Submited data undergoes quality checking prior to publication."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000666","bsg-d000666"],"name":"FAIRsharing record for: Swedish Ocean Archive","abbreviation":"SHARK","url":"https://fairsharing.org/10.25504/FAIRsharing.npf403","doi":"10.25504/FAIRsharing.npf403","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SHARK (\"Svenskt HavsARKiv\" / \"Swedish Ocean Archive\") contains marine environmental monitoring data from the seas surrounding Sweden. SHARK is accessed via SHARKweb (for human-readable content) and SHARKdata (for computational access). Content includes marine physical, chemical and biological data collected within Swedish environmental monitoring programs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Marine Biology","Biodiversity"],"domains":["Marine environment","Monitoring"],"taxonomies":["All"],"user_defined_tags":["Marine Chemistry"],"countries":["Sweden"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2072,"relation":"undefined"}],"grants":[{"id":1938,"fairsharing_record_id":2192,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:25:25.802Z","updated_at":"2021-09-30T09:25:25.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1937,"fairsharing_record_id":2192,"organisation_id":2673,"relation":"maintains","created_at":"2021-09-30T09:25:25.765Z","updated_at":"2021-09-30T09:25:25.765Z","grant_id":null,"is_lead":true,"saved_state":{"id":2673,"name":"Swedish Meteorological and Hydrological Institute (SMHI), Norrkping, Sweden","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2194","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T20:54:40.000Z","updated_at":"2024-02-01T10:49:39.087Z","metadata":{"doi":"10.25504/FAIRsharing.jr4y76","name":"Canadensys","status":"ready","contacts":[{"contact_name":"Olivier Norvez","contact_email":"olivier.norvez@umontreal.ca","contact_orcid":"0000-0001-7696-3493"}],"homepage":"https://data.canadensys.net/explorer/occurrences/search?q=#tab_mapView","citations":[{"doi":"10.3897/biss.3.36979","pubmed_id":null,"publication_id":3908}],"identifier":2194,"description":"Biological collections are replete with taxonomic, geographic, temporal, numerical, and historical information. This information is crucial for understanding and properly managing biodiversity and ecosystems, but is often difficult to access. Data publication is the act of making that information available online, and is the core mission of Canadensys. Most of the datasets contain specimen data, but checklists and observation data are present as well.","abbreviation":"Canadensys","data_curation":{"url":"https://community.canadensys.net/digitization/data-cleaning","type":"not found"},"support_links":[{"url":"http://www.canadensys.net/blog","type":"Blog/News"},{"url":"https://github.com/Canadensys","type":"Github"},{"url":"https://twitter.com/canadensys","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://data.canadensys.net/tools/coordinates","name":"converter"}],"data_access_condition":{"url":"https://data.canadensys.net/explorer/occurrences/search?q=#tab_mapView","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://community.canadensys.net/publication/data-publication-guide?lang=fr","type":"controlled","notes":"7-step guide to data publication is facilitated."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000668","bsg-d000668"],"name":"FAIRsharing record for: Canadensys","abbreviation":"Canadensys","url":"https://fairsharing.org/10.25504/FAIRsharing.jr4y76","doi":"10.25504/FAIRsharing.jr4y76","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biological collections are replete with taxonomic, geographic, temporal, numerical, and historical information. This information is crucial for understanding and properly managing biodiversity and ecosystems, but is often difficult to access. Data publication is the act of making that information available online, and is the core mission of Canadensys. Most of the datasets contain specimen data, but checklists and observation data are present as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1640,"pubmed_id":24198712,"title":"Database of Vascular Plants of Canada (VASCAN): a community contributed taxonomic checklist of all vascular plants of Canada, Saint Pierre and Miquelon, and Greenland.","year":2013,"url":"http://doi.org/10.3897/phytokeys.25.3100","authors":"Desmet P,Brouillet L","journal":"PhytoKeys","doi":"10.3897/phytokeys.25.3100","created_at":"2021-09-30T08:25:23.704Z","updated_at":"2021-09-30T08:25:23.704Z"},{"id":3908,"pubmed_id":null,"title":"Reaching an Established but Growing Network: Use-case from Canadensys","year":2019,"url":"http://dx.doi.org/10.3897/biss.3.36979","authors":"Sinou, Carole; Bruneau, Anne; Paul, Deborah L; Kennedy, Mary; ","journal":"BISS","doi":"10.3897/biss.3.36979","created_at":"2023-06-14T07:28:35.284Z","updated_at":"2023-06-14T07:28:35.284Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":913,"relation":"undefined"}],"grants":[{"id":1943,"fairsharing_record_id":2194,"organisation_id":478,"relation":"maintains","created_at":"2021-09-30T09:25:25.985Z","updated_at":"2021-09-30T09:25:25.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":478,"name":"Centre sur la Biodiversite de l'Universite de Montreal, Montreal, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2195","type":"fairsharing_records","attributes":{"created_at":"2015-03-12T09:57:03.000Z","updated_at":"2024-03-27T22:39:32.815Z","metadata":{"doi":"10.25504/FAIRsharing.rf3m4g","name":"Plant Genomics and Phenomics Research Data Repository","status":"ready","contacts":[{"contact_name":"Daniel Arend","contact_email":"arendd@ipk-gatersleben.de","contact_orcid":"0000-0002-2455-5938"}],"homepage":"http://edal-pgp.ipk-gatersleben.de","citations":[],"identifier":2195,"description":"This repository provides several plant genomic and phenotypic datasets resulting from IPK and German Plant Phenotyping Network (DPPN) research activities. It was established in January 2015. The background of the study is in plant genetic resources, in particular the association of genotypes and phenotypes. This archive aims to provide data from the \"system plant\" - from the root to bloom and seed, as well from sequence analysis to systems biology.Ge","abbreviation":"PGP","data_curation":{"type":"not found"},"support_links":[{"url":"https://edal-pgp.ipk-gatersleben.de/contact.html","name":"General Contact Points","type":"Contact form"},{"url":"https://doi.ipk-gatersleben.de/report/ ","name":"Access and Download Statistics","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://edal.ipk-gatersleben.de/","name":"e!DAL"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011876","name":"re3data:r3d100011876","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://edal-pgp.ipk-gatersleben.de/","type":"open","notes":"Data submission"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000669","bsg-d000669"],"name":"FAIRsharing record for: Plant Genomics and Phenomics Research Data Repository","abbreviation":"PGP","url":"https://fairsharing.org/10.25504/FAIRsharing.rf3m4g","doi":"10.25504/FAIRsharing.rf3m4g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This repository provides several plant genomic and phenotypic datasets resulting from IPK and German Plant Phenotyping Network (DPPN) research activities. It was established in January 2015. The background of the study is in plant genetic resources, in particular the association of genotypes and phenotypes. This archive aims to provide data from the \"system plant\" - from the root to bloom and seed, as well from sequence analysis to systems biology.Ge","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16724},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19519}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Phenotype","Genotype"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":724,"pubmed_id":24958009,"title":"e!DAL - a framework to store, share and publish research data","year":2014,"url":"http://doi.org/10.1186/1471-2105-15-214","authors":"Daniel Arend, Matthias Lange, Jinbo Chen, Christian Colmsee, Steffen Flemming, Denny Hecht and Uwe Scholz","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-15-214","created_at":"2021-09-30T08:23:39.788Z","updated_at":"2021-09-30T08:23:39.788Z"},{"id":1376,"pubmed_id":27087305,"title":"PGP repository: a plant phenomics and genomics data publication infrastructure.","year":2016,"url":"http://doi.org/10.1093/database/baw033","authors":"Arend D,Junker A,Scholz U,Schuler D,Wylie J,Lange M","journal":"Database (Oxford)","doi":"10.1093/database/baw033","created_at":"2021-09-30T08:24:53.901Z","updated_at":"2021-09-30T08:24:53.901Z"},{"id":1816,"pubmed_id":null,"title":"The e!DAL JAVA-API: Store, share and cite primary data in life sciences","year":2012,"url":"http://doi.org/10.1109/BIBM.2012.6392737","authors":"Daniel Arend, Matthias Lange, Christian Colmsee, Steffen Flemming, Jinbo Chen and Uwe Scholz","journal":"IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","doi":"10.1109/BIBM.2012.6392737","created_at":"2021-09-30T08:25:43.864Z","updated_at":"2021-09-30T08:25:43.864Z"},{"id":3480,"pubmed_id":null,"title":"The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition","year":2020,"url":"http://dx.doi.org/10.1093/gigascience/giaa107","authors":"Arend, Daniel; König, Patrick; Junker, Astrid; Scholz, Uwe; Lange, Matthias; ","journal":"GigaScience","doi":"10.1093/gigascience/giaa107","created_at":"2022-07-20T06:56:23.494Z","updated_at":"2022-07-20T06:56:23.494Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":500,"relation":"undefined"}],"grants":[{"id":1945,"fairsharing_record_id":2195,"organisation_id":2872,"relation":"maintains","created_at":"2021-09-30T09:25:26.034Z","updated_at":"2021-09-30T09:25:26.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":2872,"name":"trans-national infrastructure for plant genomic science (transPLANT)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1944,"fairsharing_record_id":2195,"organisation_id":751,"relation":"funds","created_at":"2021-09-30T09:25:26.008Z","updated_at":"2021-09-30T09:32:46.547Z","grant_id":1772,"is_lead":false,"saved_state":{"id":751,"name":"Deutschen Pflanzen Phenotypisierungsnetzwerks (DPPN), Germany","grant":"FKZ 031A053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1946,"fairsharing_record_id":2195,"organisation_id":1702,"relation":"maintains","created_at":"2021-09-30T09:25:26.063Z","updated_at":"2021-09-30T09:25:26.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":1702,"name":"Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1947,"fairsharing_record_id":2195,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:25:26.106Z","updated_at":"2021-09-30T09:25:26.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1948,"fairsharing_record_id":2195,"organisation_id":922,"relation":"funds","created_at":"2021-09-30T09:25:26.160Z","updated_at":"2021-09-30T09:31:17.116Z","grant_id":1101,"is_lead":false,"saved_state":{"id":922,"name":"European Commission FP7 Transplant Project","grant":"283496","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBazhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--07f53bebf8ecefe7f55d2f674a915eb634499fce/pgp_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2196","type":"fairsharing_records","attributes":{"created_at":"2015-04-19T13:35:31.000Z","updated_at":"2022-07-20T12:26:02.071Z","metadata":{"doi":"10.25504/FAIRsharing.ce8nsj","name":"EuroPhenome","status":"deprecated","contacts":[{"contact_name":"Ann-Marie Mallon","contact_email":"a.mallon@har.mrc.ac.uk"}],"homepage":"http://www.EuroPhenome.org","identifier":2196,"description":"The EuroPhenome project provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centres. Mutants of interest can be identified by searching the gene or the predicted phenotype.","abbreviation":"EuroPhenome","data_curation":{"type":"not found"},"support_links":[{"url":"helpdesk@europhenome.org","type":"Support email"},{"url":"http://www.europhenome.org/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.europhenome.org/using.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.europhenome.org/databrowser/heatmap.jsp?pipeline=1","name":"View Phenomap"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000670","bsg-d000670"],"name":"FAIRsharing record for: EuroPhenome","abbreviation":"EuroPhenome","url":"https://fairsharing.org/10.25504/FAIRsharing.ce8nsj","doi":"10.25504/FAIRsharing.ce8nsj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EuroPhenome project provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centres. Mutants of interest can be identified by searching the gene or the predicted phenotype.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Computational biological predictions","Mutation","Phenotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":1641,"pubmed_id":19933761,"title":"EuroPhenome: a repository for high-throughput mouse phenotyping data","year":2009,"url":"http://doi.org/10.1093/nar/gkp1007","authors":"Morgan H, Beck T, Blake A, Gates H, Adams N, Debouzy G, Leblanc S, Lengger C, Maier H, Melvin D, Meziane H, Richardson D, Wells S, White J, Wood J; EUMODIC Consortium, de Angelis MH, Brown SD, Hancock JM, Mallon AM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1007","created_at":"2021-09-30T08:25:23.813Z","updated_at":"2021-09-30T08:25:23.813Z"},{"id":1642,"pubmed_id":17905814,"title":"EuroPhenome and EMPReSS: online mouse phenotyping resource.","year":2007,"url":"http://doi.org/10.1093/nar/gkm728","authors":"Mallon AM,Blake A,Hancock JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm728","created_at":"2021-09-30T08:25:23.918Z","updated_at":"2021-09-30T11:29:17.552Z"}],"licence_links":[],"grants":[{"id":1950,"fairsharing_record_id":2196,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:26.214Z","updated_at":"2021-09-30T09:29:23.464Z","grant_id":227,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"01GS0850","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8417,"fairsharing_record_id":2196,"organisation_id":918,"relation":"funds","created_at":"2021-09-30T09:32:32.885Z","updated_at":"2021-09-30T09:32:32.943Z","grant_id":1669,"is_lead":false,"saved_state":{"id":918,"name":"European Commission (EC) FP6, EUMODIC project","grant":"QLG2-CT-2002-00930","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1949,"fairsharing_record_id":2196,"organisation_id":918,"relation":"funds","created_at":"2021-09-30T09:25:26.184Z","updated_at":"2021-09-30T09:30:56.216Z","grant_id":942,"is_lead":false,"saved_state":{"id":918,"name":"European Commission (EC) FP6, EUMODIC project","grant":"LSHG-CT-2006-037188","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2197","type":"fairsharing_records","attributes":{"created_at":"2015-04-21T12:40:45.000Z","updated_at":"2023-12-15T10:31:21.426Z","metadata":{"doi":"10.25504/FAIRsharing.84ebcy","name":"Stem Cell Commons","status":"ready","contacts":[{"contact_name":"Shannan Ho Sui","contact_email":"shosui@hsph.harvard.edu"}],"homepage":"http://stemcellcommons.org/","identifier":2197,"description":"The Stem Cell Commons were initiated by the Harvard Stem Cell Institute to develop a community for stem cell bioinformatics. This open source environment for sharing, processing and analyzing stem cell data brings together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons.","abbreviation":"SCC","data_curation":{"type":"not found"},"support_links":[{"url":"http://stemcellcommons.org/contact","type":"Contact form"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/parklab/Refinery","name":"Refinery: web-based data visualization and analysis system powered by an ISA-Tab-compatible data repository Beta"},{"url":"https://bitbucket.org/mindinformatics/exframe7","name":"eXframe: structured annotation of experiments"},{"url":"https://bitbucket.org/hbc/galaxy-central-hbc","name":"Galaxy: web-based platform for accessible, reproducible, and transparent computational biomedical research"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"controlled","notes":"\"The Stem Cell Commons is a repository of data belonging to members of the Harvard Stem Cell Institute (HSCI).\""},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000671","bsg-d000671"],"name":"FAIRsharing record for: Stem Cell Commons","abbreviation":"SCC","url":"https://fairsharing.org/10.25504/FAIRsharing.84ebcy","doi":"10.25504/FAIRsharing.84ebcy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Stem Cell Commons were initiated by the Harvard Stem Cell Institute to develop a community for stem cell bioinformatics. This open source environment for sharing, processing and analyzing stem cell data brings together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12713}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Stem cell","Next generation DNA sequencing"],"taxonomies":["Danio rerio","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":729,"pubmed_id":24303302,"title":"The Stem Cell Commons: an exemplar for data integration in the biomedical domain driven by the ISA framework.","year":2013,"url":"https://www.ncbi.nlm.nih.gov/pubmed/24303302","authors":"Ho Sui S1, Merrill E, Gehlenborg N, Haseley P, Sytchev I, Park R, Rocca-Serra P, Corlosquet S, Gonzalez-Beltran A, Maguire E, Hofmann O, Park P, Das S, Sansone SA, Hide W.","journal":"AMIA Jt Summits Transl Sci Proc.","doi":null,"created_at":"2021-09-30T08:23:40.337Z","updated_at":"2021-09-30T08:23:40.337Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":326,"relation":"undefined"}],"grants":[{"id":1951,"fairsharing_record_id":2197,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:25:26.256Z","updated_at":"2021-09-30T09:25:26.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8401,"fairsharing_record_id":2197,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:27.870Z","updated_at":"2021-09-30T09:32:27.926Z","grant_id":1631,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000771/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1952,"fairsharing_record_id":2197,"organisation_id":1214,"relation":"maintains","created_at":"2021-09-30T09:25:26.298Z","updated_at":"2021-09-30T09:25:26.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":1214,"name":"Harvard Stem Cell Institute, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1953,"fairsharing_record_id":2197,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:26.336Z","updated_at":"2021-09-30T09:29:38.577Z","grant_id":339,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E025080/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2186","type":"fairsharing_records","attributes":{"created_at":"2015-02-11T10:46:48.000Z","updated_at":"2023-08-17T06:25:50.683Z","metadata":{"doi":"10.25504/FAIRsharing.bpkzqp","name":"Immunology Database and Analysis Portal","status":"ready","contacts":[{"contact_name":"Jeff Wiser","contact_email":"jeff.wiser@ngc.com"}],"homepage":"https://immport.org","citations":[{"doi":"10.1038/sdata.2018.15","pubmed_id":29485622,"publication_id":2220}],"identifier":2186,"description":"The Immunology Database and Analysis Portal (ImmPort) data repository was created for the exploration of clinical and basic research data on immunology and associated findings. ImmPort intends to promote effective data sharing across the basic, clinical and translational research communities. It collects data both from clinical and mechanistic studies on human subjects and from immunology studies on model organisms. The ImmPort ecosystem consists of four components: private data, shared data, data analysis, and resources-for data archiving, dissemination, analyses, and reuse.","abbreviation":"ImmPort","data_curation":{"url":"https://docs.immport.org/datasubmission/general/datasubmissionprocess/","type":"manual","notes":"Immport performs quality checks upon data submission"},"support_links":[{"url":"https://www.immport.org/shared/news","name":"News","type":"Blog/News"},{"url":"ImmPort_Helpdesk@immport.org","name":"Help Contact","type":"Support email"},{"url":"https://www.immport.org/resources/tutorials","name":"Tutorials","type":"Help documentation"},{"url":"https://www.immport.org/resources/documentation","name":"All Documentation","type":"Help documentation"},{"url":"https://www.immport.org/resources/dataTemplates","name":"Data Upload Templates","type":"Help documentation"},{"url":"https://www.immport.org/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ImmPortDB","name":"@ImmPortDB","type":"Twitter"},{"url":"https://docs.immport.org/datasubmission/general/submissiontemplates/","name":"Submission Templates","type":"Help documentation"},{"url":"https://www.immport.org/shared/dataModel","name":"Data Model","type":"Help documentation"},{"url":"https://docs.immport.org/datasubmission/general/hipcstandards/","name":"HIPC Standards","type":"Other"},{"url":"https://immport.us19.list-manage.com/subscribe?u=fae12fe1b349115b901d54a2f\u0026id=37f763663e","name":"Subscribe to Updates","type":"Mailing list"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://immportgalaxy.org","name":"ImmPortGalaxy"},{"url":"https://docs.immport.org/datasubmission/studywizard/","name":"Study Registration Wizard"},{"url":"https://bioconductor.org/packages/release/bioc/html/MetaCyto.html","name":"MetaCyto"},{"url":"https://bioconductor.org/packages/release/bioc/html/RImmPort.html","name":"RImmPort"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012529","name":"re3data:r3d100012529","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012804","name":"SciCrunch:RRID:SCR_012804","portal":"SciCrunch"}],"data_access_condition":{"url":"https://docs.immport.org/help/mfa/","type":"partially open","notes":"There are both shared and private subsets of this repository"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/bmic-about.html","name":"NIH sustained support"},"data_contact_information":"no","data_preservation_policy":{"url":"https://docs.immport.org/home/agreement/","name":"DAIT, NIAID, NIH Support Funding (duration up to 2027); CoreTrustSeal Compliance Level 3"},"data_deposition_condition":{"url":"https://www.niaid.nih.gov/research/immport","type":"controlled","notes":"Deposition for from NIAID-funded immunology studies, including basic research and clinical trials only."},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://www.coretrustseal.org/wp-content/uploads/2018/02/ImmPort-Repository.pdf","name":"CoreTrustSeal (valid until 2025-02-17)"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000660","bsg-d000660"],"name":"FAIRsharing record for: Immunology Database and Analysis Portal","abbreviation":"ImmPort","url":"https://fairsharing.org/10.25504/FAIRsharing.bpkzqp","doi":"10.25504/FAIRsharing.bpkzqp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Immunology Database and Analysis Portal (ImmPort) data repository was created for the exploration of clinical and basic research data on immunology and associated findings. ImmPort intends to promote effective data sharing across the basic, clinical and translational research communities. It collects data both from clinical and mechanistic studies on human subjects and from immunology studies on model organisms. The ImmPort ecosystem consists of four components: private data, shared data, data analysis, and resources-for data archiving, dissemination, analyses, and reuse.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10804},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11108},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12710},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12958}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Immunology","Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":["Model organism"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":920,"pubmed_id":24791905,"title":"ImmPort: disseminating data to the public for the future of immunology","year":2014,"url":"http://doi.org/10.1007/s12026-014-8516-1","authors":"Bhattacharya S, Andorf S, Gomes L, Dunn P, Schaefer H, Pontius J, Berger P, Desborough V, Smith T, Campbell J, Thomson E, Monteiro R, Guimaraes P, Walters B, Wiser J, Butte AJ","journal":"Immunologic Research","doi":"10.1007/s12026-014-8516-1","created_at":"2021-09-30T08:24:01.588Z","updated_at":"2021-09-30T08:24:01.588Z"},{"id":922,"pubmed_id":22431383,"title":"FCSTrans: An open source software system for FCS file conversion and data transformation","year":2012,"url":"http://doi.org/10.1002/cyto.a.22037","authors":"Qian Y, Liu Y, Campbell J, Thomson E, Kong YM, Scheuermann RH","journal":"Cytometry Part A","doi":"10.1002/cyto.a.22037","created_at":"2021-09-30T08:24:01.805Z","updated_at":"2021-09-30T08:24:01.805Z"},{"id":2209,"pubmed_id":20839340,"title":"Elucidation of seventeen human peripheral blood B-cell subsets and quantification of the tetanus response using a density-based method for the automated identification of cell populations in multidimensional flow cytometry data","year":2010,"url":"http://doi.org/10.1002/cyto.b.20554","authors":"Qian Y, Wei C, Eun-Hyung Lee F, Campbell J, Halliley J, Lee JA, Cai J, Kong YM, Sadat E, Thomson E, Dunn P, Seegmiller AC, Karandikar NJ, Tipton CM, Mosmann T, Sanz I, Scheuermann RH","journal":"Cytometry B Clinical Cytometry","doi":"10.1002/cyto.b.20554","created_at":"2021-09-30T08:26:28.963Z","updated_at":"2021-09-30T08:26:28.963Z"},{"id":2220,"pubmed_id":29485622,"title":"ImmPort, toward repurposing of open access immunological assay data for translational and clinical research.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.15","authors":"Bhattacharya S,Dunn P,Thomas CG,Smith B,Schaefer H,Chen J,Hu Z,Zalocusky KA,Shankar RD,Shen-Orr SS,Thomson E,Wiser J,Butte AJ","journal":"Sci Data","doi":"10.1038/sdata.2018.15","created_at":"2021-09-30T08:26:30.198Z","updated_at":"2021-09-30T08:26:30.198Z"}],"licence_links":[{"licence_name":"ImmPort Data Sharing","licence_id":432,"licence_url":"http://www.immport.org/agreement","link_id":362,"relation":"undefined"}],"grants":[{"id":1912,"fairsharing_record_id":2186,"organisation_id":2721,"relation":"undefined","created_at":"2021-09-30T09:25:24.923Z","updated_at":"2023-01-22T03:13:16.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":2721,"name":"Technion - Israel Institute of Technology","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":1919,"fairsharing_record_id":2186,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:25.106Z","updated_at":"2021-09-30T09:31:28.145Z","grant_id":1182,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN272201200028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1911,"fairsharing_record_id":2186,"organisation_id":3025,"relation":"collaborates_on","created_at":"2021-09-30T09:25:24.898Z","updated_at":"2023-01-22T03:11:10.711Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo, NY, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":1914,"fairsharing_record_id":2186,"organisation_id":2623,"relation":"collaborates_on","created_at":"2021-09-30T09:25:24.973Z","updated_at":"2023-01-22T03:11:10.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":1916,"fairsharing_record_id":2186,"organisation_id":1555,"relation":"collaborates_on","created_at":"2021-09-30T09:25:25.023Z","updated_at":"2023-01-22T03:11:10.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":1555,"name":"ISA-Tools, University of Oxford","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":1917,"fairsharing_record_id":2186,"organisation_id":2183,"relation":"maintains","created_at":"2021-09-30T09:25:25.056Z","updated_at":"2021-09-30T09:25:25.056Z","grant_id":null,"is_lead":true,"saved_state":{"id":2183,"name":"Northrop Grumman Health IT","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":1920,"fairsharing_record_id":2186,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:25.138Z","updated_at":"2021-09-30T09:25:25.138Z","grant_id":null,"is_lead":true,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1915,"fairsharing_record_id":2186,"organisation_id":18,"relation":"associated_with","created_at":"2021-09-30T09:25:24.999Z","updated_at":"2023-01-22T03:11:10.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":18,"name":"Accelerating Medicines Partnership (AMP)","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":1918,"fairsharing_record_id":2186,"organisation_id":1276,"relation":"collaborates_on","created_at":"2021-09-30T09:25:25.082Z","updated_at":"2023-01-22T03:11:10.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1276,"name":"Human Immunology Project Consortium","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":1913,"fairsharing_record_id":2186,"organisation_id":420,"relation":"collaborates_on","created_at":"2021-09-30T09:25:24.949Z","updated_at":"2023-01-22T03:11:10.665Z","grant_id":null,"is_lead":false,"saved_state":{"id":420,"name":"Center for Expanded Data Annotation and Retrieval (CEDAR)","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":10304,"fairsharing_record_id":2186,"organisation_id":3868,"relation":"maintains","created_at":"2023-01-22T03:16:04.191Z","updated_at":"2023-01-22T03:16:04.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":3868,"name":"National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases (NIAID), Division of Allergy, Immunology, and Transplantation (DAIT)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBclFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--92cb4b345d57911b0764ecea7a39cd3546a658fc/immport-main-icon.png?disposition=inline","exhaustive_licences":false}},{"id":"2188","type":"fairsharing_records","attributes":{"created_at":"2015-02-11T17:09:58.000Z","updated_at":"2024-03-21T13:58:06.902Z","metadata":{"doi":"10.25504/FAIRsharing.r4ph5f","name":"Image Data Archive","status":"ready","contacts":[{"contact_name":"LONI Contact","contact_email":"dba@loni.usc.edu"}],"homepage":"https://ida.loni.usc.edu/","citations":[],"identifier":2188,"description":"The LONI Image Data Archive (IDA) is a user-friendly environment for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. The IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities. The Image \u0026 Data Archive (IDA) provides tools and resources for de-identifying, integrating, searching, visualizing and sharing a diverse range of neuroscience data, helping facilitate collaborations between scientists worldwide.","abbreviation":"IDA","data_curation":{"type":"none"},"support_links":[{"url":"ida@loni.usc.edu","type":"Support email"},{"url":"https://ida.loni.usc.edu/services/Menu/DocFaq.jsp?page=DOCUMENTATION\u0026subPage=FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ida.loni.usc.edu/services/Menu/PDF/IDA_User_Manual.pdf","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012840","name":"re3data:r3d100012840","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001922","name":"SciCrunch:RRID:SCR_001922","portal":"SciCrunch"}],"data_access_condition":{"url":"https://ida.loni.usc.edu/explore/jsp/support/support.jsp#general","type":"partially open","notes":"Acess to any data requires a free IDA user account. For restricted-sharing studies, access permission may be requested."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://ida.loni.usc.edu/explore/jsp/support/support.jsp#uploading","type":"controlled","notes":"Only authorized users of a study are given upload access."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000662","bsg-d000662"],"name":"FAIRsharing record for: Image Data Archive","abbreviation":"IDA","url":"https://fairsharing.org/10.25504/FAIRsharing.r4ph5f","doi":"10.25504/FAIRsharing.r4ph5f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LONI Image Data Archive (IDA) is a user-friendly environment for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. The IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities. The Image \u0026 Data Archive (IDA) provides tools and resources for de-identifying, integrating, searching, visualizing and sharing a diverse range of neuroscience data, helping facilitate collaborations between scientists worldwide.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10806},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11110}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Developmental Biology","Biomedical Science"],"domains":["Imaging","Aging","Disease course","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1924,"fairsharing_record_id":2188,"organisation_id":3125,"relation":"maintains","created_at":"2021-09-30T09:25:25.292Z","updated_at":"2021-09-30T09:25:25.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1926,"fairsharing_record_id":2188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:25.372Z","updated_at":"2021-09-30T09:30:06.326Z","grant_id":553,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54EB020406","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8112,"fairsharing_record_id":2188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:01.363Z","updated_at":"2021-09-30T09:31:01.416Z","grant_id":981,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41EB015922","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1922,"fairsharing_record_id":2188,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:25.221Z","updated_at":"2021-09-30T09:25:25.221Z","grant_id":null,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1923,"fairsharing_record_id":2188,"organisation_id":3124,"relation":"maintains","created_at":"2021-09-30T09:25:25.259Z","updated_at":"2021-09-30T09:25:25.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":3124,"name":"University of Southern California (USC), Mark and Mary Stevens Neuroimaging and Informatics Institute, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":11530,"fairsharing_record_id":2188,"organisation_id":1679,"relation":"funds","created_at":"2024-03-21T13:58:06.823Z","updated_at":"2024-03-21T13:58:06.823Z","grant_id":null,"is_lead":false,"saved_state":{"id":1679,"name":"Laboratory of Neuro Imaging (LONI), University of Southern California, Los Angeles, CA, USA","types":["Lab"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2181","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-06T15:19:11.969Z","metadata":{"doi":"10.25504/FAIRsharing.g4z879","name":"The Open Science Framework","status":"ready","contacts":[{"contact_name":"Nici Pfeiffer","contact_email":"nici@cos.io","contact_orcid":"0000-0002-2593-4905"}],"homepage":"http://osf.io","citations":[],"identifier":2181,"description":"The Open Science Framework (OSF) is a free and open free, open repository and platform to enable collaboration and support the entire research lifecycle: planning, execution, reporting, archiving, and discovery. Features include automated versioning, logging of all actions, collaboration support, free and unlimited file storage, registrations, and connections to other tools/services (ie. Dropbox, figshare, Amazon S3, Dataverse, GitHub). It is 100% free to researchers, open source, and intended for use in all domain areas. OSF has an open, public API to support broad indexing, as well as a partnership with Internet Archive for long-term preservation with a $250k preservation fund and an IMLS grant for transfer to Internet Archive (currently in progress). The OSF supports embargoing during peer review via a view-only link with the ability to anonymize contributor list. It also provides managed access by allowing access requests and private sharing settings. OSF is a non-profit with direct funder support through grants, government contracts, and community memberships.","abbreviation":"OSF","data_curation":{"url":"https://www.cos.io/blog/osf-adds-new-metadata-features-to-meet-desirable-characteristics-for-federally-funded-research","type":"manual","notes":"Datasets must have metadata"},"support_links":[{"url":"support@osf.io","name":"Technical support","type":"Support email"},{"url":"contact@osf.io","name":"General enquiries","type":"Support email"},{"url":"https://groups.google.com/forum/?hl=en#!forum/openscienceframework","type":"Forum"},{"url":"https://osf.io/getting-started/","type":"Help documentation"},{"url":"https://twitter.com/OSFramework","type":"Twitter"},{"url":"https://github.com/CenterForOpenScience","name":"Center for Open Science on GitHub","type":"Github"},{"url":"https://groups.google.com/g/openscienceframework","name":"OSF Google Groups","type":"Forum"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://osf.io/registries","name":"OSF Registry"},{"url":"https://help.osf.io/article/395-storage-add-ons","name":"Storage Add-Ons"},{"url":"https://help.osf.io/article/394-citation-add-ons","name":"Citation Add-Ons"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011137","name":"re3data:r3d100011137","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003238","name":"SciCrunch:RRID:SCR_003238","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.cos.io/products/osf","type":"open","notes":"https://github.com/CenterForOpenScience/cos.io/blob/master/TERMS_OF_USE.md"},"resource_sustainability":{"url":"http://osf.io/8km72 (Grant Proposals and Current Grant Funding); https://doi.org/10.31219/osf.io/x2w9h","name":"Center for Open Science: Strategic Plan; COS has implemented a sustainability model for maintaining an open-source, public goods infrastructure by partnering with stakeholders in research, including funders, federal agencies, research institutions, and individuals (accessible at the Grant Proposals and Current Grant Funding page)."},"data_contact_information":"yes","data_preservation_policy":{"url":"https://help.osf.io/article/547-account-and-security-faq-s#Backup","name":"Backup and preservation: files are stored in multiple locations and on multiple media types on Google Cloud, including 3 hash formats for files. OSF database is backed up via streaming replication 24 hours a day, and incremental restore points are made twice daily. Further, the OSF database is maintained in encrypted snapshots for an additional 60 days. Database backups are verified monthly. $250k Preservation fund, IMLS grant for transfer to Internet Archive (In progress)."},"data_deposition_condition":{"url":"https://help.osf.io/article/342-getting-started-on-the-osf","type":"controlled","notes":"Account registration required. Projects and subprojects currently have a public 50 GB storage limit and a private 5 GB limit. 5 GB/file native storage limit. Unlimited storage per researcher and across add-ons connected to a given project."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000655","bsg-d000655"],"name":"FAIRsharing record for: The Open Science Framework","abbreviation":"OSF","url":"https://fairsharing.org/10.25504/FAIRsharing.g4z879","doi":"10.25504/FAIRsharing.g4z879","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Science Framework (OSF) is a free and open free, open repository and platform to enable collaboration and support the entire research lifecycle: planning, execution, reporting, archiving, and discovery. Features include automated versioning, logging of all actions, collaboration support, free and unlimited file storage, registrations, and connections to other tools/services (ie. Dropbox, figshare, Amazon S3, Dataverse, GitHub). It is 100% free to researchers, open source, and intended for use in all domain areas. OSF has an open, public API to support broad indexing, as well as a partnership with Internet Archive for long-term preservation with a $250k preservation fund and an IMLS grant for transfer to Internet Archive (currently in progress). The OSF supports embargoing during peer review via a view-only link with the ability to anonymize contributor list. It also provides managed access by allowing access requests and private sharing settings. OSF is a non-profit with direct funder support through grants, government contracts, and community memberships.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10803},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10988},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11106},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12922}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Subject Agnostic"],"domains":["Citation","Resource metadata","Analysis","Publication"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2417,"pubmed_id":28891143,"title":"Behavioural Addiction Open Definition 2.0-using the Open Science Framework for collaborative and transparent theoretical development.","year":2017,"url":"http://doi.org/10.1111/add.13938","authors":"Billieux J,van Rooij AJ,Heeren A,Schimmenti A,Maurage P,Edman J,Blaszczynski A,Khazaal Y,Kardefelt-Winther D","journal":"Addiction","doi":"10.1111/add.13938","created_at":"2021-09-30T08:26:56.652Z","updated_at":"2021-09-30T08:26:56.652Z"},{"id":2608,"pubmed_id":30025068,"title":"Building an Open Science Framework to Model Soil Organic Carbon.","year":2018,"url":"http://doi.org/10.2134/jeq2017.08.0318","authors":"Flathers E,Gessler PE","journal":"J Environ Qual","doi":"10.2134/jeq2017.08.0318","created_at":"2021-09-30T08:27:20.129Z","updated_at":"2021-09-30T08:27:20.129Z"}],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":1549,"relation":"undefined"},{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1539,"relation":"undefined"},{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1585,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1535,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1534,"relation":"undefined"},{"licence_name":"Eclipse Public Licence Version 1.0","licence_id":260,"licence_url":"https://www.eclipse.org/legal/epl-v10.html","link_id":1593,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1586,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1588,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1594,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":1599,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1537,"relation":"undefined"},{"licence_name":"Mozilla Public Licence Version 2.0 (MPL 2.0)","licence_id":524,"licence_url":"https://www.mozilla.org/en-US/MPL/2.0/","link_id":1602,"relation":"undefined"},{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":1592,"relation":"undefined"}],"grants":[{"id":1895,"fairsharing_record_id":2181,"organisation_id":1689,"relation":"funds","created_at":"2021-09-30T09:25:24.406Z","updated_at":"2021-09-30T09:25:24.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":1689,"name":"Laura and John Arnold Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1893,"fairsharing_record_id":2181,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:24.357Z","updated_at":"2021-09-30T09:25:24.357Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1894,"fairsharing_record_id":2181,"organisation_id":435,"relation":"maintains","created_at":"2021-09-30T09:25:24.381Z","updated_at":"2021-09-30T09:25:24.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":435,"name":"Center for Open Science (COS), Charlottesville, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1897,"fairsharing_record_id":2181,"organisation_id":1605,"relation":"funds","created_at":"2021-09-30T09:25:24.457Z","updated_at":"2021-09-30T09:25:24.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":1605,"name":"John Templeton Foundation, West Conshohocken, PA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9377,"fairsharing_record_id":2181,"organisation_id":54,"relation":"funds","created_at":"2022-04-11T12:07:34.229Z","updated_at":"2022-04-11T12:07:34.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":54,"name":"Alfred P. Sloan Foundation, New York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaDhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b42b4749ce149e025696d4e554ab2bc7ca4b7abb/open_science_framework_white.2400x2400.jpeg?disposition=inline","exhaustive_licences":false}},{"id":"2183","type":"fairsharing_records","attributes":{"created_at":"2014-12-18T22:53:50.000Z","updated_at":"2022-07-20T11:19:04.550Z","metadata":{"doi":"10.25504/FAIRsharing.44wk5g","name":"Open Connectome Project","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"support@neurodata.io"}],"homepage":"https://neurodata.io/project/ocp/","identifier":2183,"description":"Open Connectome Project: Reverse Engineering the Brain One Synapse at a Time","abbreviation":"OCP","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://catmaid.org/","name":"CATMAID"},{"url":"http://fiji.sc/BigDataViewer","name":"BigDataViewer"},{"url":"https://github.com/janelia-flyem/gala","name":"GALA"},{"url":"http://www.nitrc.org/projects/mrcap","name":"MRCAP"},{"url":"https://software.rc.fas.harvard.edu/lichtman/vast/","name":"VAST"},{"url":"http://openconnecto.me/api/","name":"OCP API"}],"deprecation_date":"2021-03-19","deprecation_reason":"This resource is no longer available as a database. Instead, all data are hosted in AWS on the Open NeuroData Registry https://registry.opendata.aws/open-neurodata . (The original homepage at http://openconnecto.me is no longer active.)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000657","bsg-d000657"],"name":"FAIRsharing record for: Open Connectome Project","abbreviation":"OCP","url":"https://fairsharing.org/10.25504/FAIRsharing.44wk5g","doi":"10.25504/FAIRsharing.44wk5g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Connectome Project: Reverse Engineering the Brain One Synapse at a Time","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10989},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11107}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science"],"domains":[],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Felis catus","Homo sapiens","Macaca mulatta","Mus musculus","Pristionchus pacificus","Rattus norvegicus","Rhesus macaques"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1202,"pubmed_id":3881956,"title":"The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience","year":1985,"url":"http://doi.org/10.1002/ajmg.1320200110","authors":"R Burns, W Gray Roncal, D leissas, K Lillaney, P Manavalan, E Perlman, D R. Berger, D D. Bock, K Chung,L Grosenick, N Kasthuri, N C. Weiler, K Deisseroth, M Kazhdan, J Lichtman, R. C Reid, S J. Smith, A S. Szalay, J T. Vogelstein, R. J Vogelstein","journal":"Scientific and Statistical Database Management","doi":"10.1145/2484838.2484870","created_at":"2021-09-30T08:24:33.940Z","updated_at":"2021-09-30T11:28:32.042Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 1.0 Generic (CC BY-SA 1.0)","licence_id":188,"licence_url":"https://creativecommons.org/licenses/by-sa/1.0/","link_id":1449,"relation":"undefined"},{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":1448,"relation":"undefined"}],"grants":[{"id":1906,"fairsharing_record_id":2183,"organisation_id":105,"relation":"funds","created_at":"2021-09-30T09:25:24.766Z","updated_at":"2021-09-30T09:29:13.819Z","grant_id":149,"is_lead":false,"saved_state":{"id":105,"name":"Applied Physics Laboratory, John Hopkins University, Maryland, USA","grant":"JHU Applied Research Laboratory IRAD","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":1905,"fairsharing_record_id":2183,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:24.734Z","updated_at":"2021-09-30T09:29:28.762Z","grant_id":263,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"ACI-1261715","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1902,"fairsharing_record_id":2183,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:24.626Z","updated_at":"2021-09-30T09:31:11.699Z","grant_id":1057,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"1R01DA036400-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1904,"fairsharing_record_id":2183,"organisation_id":2931,"relation":"funds","created_at":"2021-09-30T09:25:24.696Z","updated_at":"2021-09-30T09:31:17.608Z","grant_id":1105,"is_lead":false,"saved_state":{"id":2931,"name":"United States Defense Advanced Research Projects Agency (DARPA)","grant":"N66001-14-1-4028","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7898,"fairsharing_record_id":2183,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:33.791Z","updated_at":"2021-09-30T09:29:33.835Z","grant_id":302,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCI-1040114","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9147,"fairsharing_record_id":2183,"organisation_id":1603,"relation":"funds","created_at":"2022-04-11T12:07:17.504Z","updated_at":"2022-04-11T12:07:17.553Z","grant_id":903,"is_lead":false,"saved_state":{"id":1603,"name":"Johns Hopkins University, Baltimore, MD, USA","grant":"JHU Whiting School of Engineering (Dean's Award)","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2190","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T19:50:25.000Z","updated_at":"2023-12-15T10:32:11.708Z","metadata":{"doi":"10.25504/FAIRsharing.ctdss6","name":"VertNet","status":"ready","contacts":[{"contact_name":"Robert Guralnick","contact_email":"robert.guralnick@colorado.edu"}],"homepage":"http://www.vertnet.org/","identifier":2190,"description":"VertNet is a NSF-funded collaborative project that makes biodiversity data free and available on the web. VertNet is a tool designed to help people discover, capture, and publish biodiversity data. It is also the core of a collaboration between hundreds of biocollections that contribute biodiversity data and work together to improve it. VertNet is an engine for training current and future professionals to use and build upon best practices in data quality, curation, research, and data publishing.","abbreviation":"VertNet","data_curation":{"type":"manual"},"support_links":[{"url":"http://form.jotform.us/form/31397097595166","name":"Feedback Form","type":"Contact form"},{"url":"http://www.vertnet.org/resources/help.html","name":"How-To Document","type":"Help documentation"},{"url":"http://portal.vertnet.org/stats","name":"Statistics","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/publications.html","name":"Publications and Videos","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/norms.html","name":"Data Use and Publication","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/georef.html","name":"Georeferencing","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/workshops.html","name":"Training Workshops","type":"Training documentation"},{"url":"https://twitter.com/VertNetOrg","name":"@VertNetOrg","type":"Twitter"}],"data_versioning":"yes","associated_tools":[{"url":"https://cran.r-project.org/web/packages/rvertnet/index.html","name":"VertNet Packages (CRAN)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011058","name":"re3data:r3d100011058","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.vertnet.org/join/join.html#t-tab1","type":"open","notes":"All data is mapped to DarwinCore using the Integrated Publishing Toolkit prior publication."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000664","bsg-d000664"],"name":"FAIRsharing record for: VertNet","abbreviation":"VertNet","url":"https://fairsharing.org/10.25504/FAIRsharing.ctdss6","doi":"10.25504/FAIRsharing.ctdss6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VertNet is a NSF-funded collaborative project that makes biodiversity data free and available on the web. VertNet is a tool designed to help people discover, capture, and publish biodiversity data. It is also the core of a collaboration between hundreds of biocollections that contribute biodiversity data and work together to improve it. VertNet is an engine for training current and future professionals to use and build upon best practices in data quality, curation, research, and data publishing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biodiversity","Life Science"],"domains":["Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1534,"pubmed_id":20169109,"title":"VertNet: a new model for biodiversity data sharing.","year":2010,"url":"http://doi.org/10.1371/journal.pbio.1000309","authors":"Constable H,Guralnick R,Wieczorek J,Spencer C,Peterson AT","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1000309","created_at":"2021-09-30T08:25:11.752Z","updated_at":"2021-09-30T08:25:11.752Z"}],"licence_links":[{"licence_name":"VertNet Data Licensing Guide","licence_id":841,"licence_url":"http://www.vertnet.org/resources/datalicensingguide.html","link_id":1598,"relation":"undefined"}],"grants":[{"id":1932,"fairsharing_record_id":2190,"organisation_id":2878,"relation":"maintains","created_at":"2021-09-30T09:25:25.564Z","updated_at":"2021-09-30T09:25:25.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":2878,"name":"Tulane University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1930,"fairsharing_record_id":2190,"organisation_id":1921,"relation":"maintains","created_at":"2021-09-30T09:25:25.491Z","updated_at":"2021-09-30T09:25:25.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":1921,"name":"Museum of Vertebrate Zoology at Berkeley (MVZ), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1934,"fairsharing_record_id":2190,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:25:25.639Z","updated_at":"2021-09-30T09:25:25.639Z","grant_id":null,"is_lead":false,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1931,"fairsharing_record_id":2190,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:25.522Z","updated_at":"2021-09-30T09:31:57.045Z","grant_id":1401,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1062193","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9164,"fairsharing_record_id":2190,"organisation_id":1622,"relation":"maintains","created_at":"2022-04-11T12:07:18.676Z","updated_at":"2022-04-11T12:07:18.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2191","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T20:05:05.000Z","updated_at":"2023-12-15T10:32:01.002Z","metadata":{"doi":"10.25504/FAIRsharing.8a0a61","name":"Fulgoromorpha Lists On the Web","status":"ready","contacts":[{"contact_name":"Thierry Bourgoin","contact_email":"bourgoin@mnhn.fr","contact_orcid":"0000-0001-9277-2478"}],"homepage":"https://flow.hemiptera-databases.org/flow/","citations":[],"identifier":2191,"description":"Fulgoromorpha Lists On the Web (FLOW) is an online database that aims to provide an easy-access summary of available biological published primary data on planthoppers (Hemiptera, Fulgoromorpha), a group of major economic importance. It includes information on taxonomy, nomenclature, bibliography, distribution and various associated biological information on host-plants and parasites (including fossils).","abbreviation":"FLOW","data_curation":{"type":"manual"},"support_links":[{"url":"https://flow.hemiptera-databases.org/flow/?db=flow\u0026page=project\u0026lang=en","type":"Help documentation"},{"url":"https://twitter.com/FLOWwebsite","type":"Twitter"}],"year_creation":1996,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found","notes":"The database encourages authors to send can of their recent papers to speed up updates."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000665","bsg-d000665"],"name":"FAIRsharing record for: Fulgoromorpha Lists On the Web","abbreviation":"FLOW","url":"https://fairsharing.org/10.25504/FAIRsharing.8a0a61","doi":"10.25504/FAIRsharing.8a0a61","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Fulgoromorpha Lists On the Web (FLOW) is an online database that aims to provide an easy-access summary of available biological published primary data on planthoppers (Hemiptera, Fulgoromorpha), a group of major economic importance. It includes information on taxonomy, nomenclature, bibliography, distribution and various associated biological information on host-plants and parasites (including fossils).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Life Science"],"domains":[],"taxonomies":["Fulgoroidea","Fulgoromorpha","Hemiptera","Insecta"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":1935,"fairsharing_record_id":2191,"organisation_id":1920,"relation":"maintains","created_at":"2021-09-30T09:25:25.681Z","updated_at":"2021-09-30T09:25:25.681Z","grant_id":null,"is_lead":false,"saved_state":{"id":1920,"name":"Museum National d'Histoire Naturelle (MNHN), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1936,"fairsharing_record_id":2191,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:25.723Z","updated_at":"2021-09-30T09:25:25.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2185","type":"fairsharing_records","attributes":{"created_at":"2015-01-26T10:34:51.000Z","updated_at":"2023-12-15T10:32:41.330Z","metadata":{"doi":"10.25504/FAIRsharing.q9neh8","name":"MGI Mouse Gene Expression Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"mgi-help@jax.org"}],"homepage":"http://www.informatics.jax.org/expression.shtml","citations":[{"doi":"10.1093/nar/gkaa914","pubmed_id":33104772,"publication_id":1721}],"identifier":2185,"description":"The Gene Expression Database (GXD) is a community resource for gene expression information from the laboratory mouse. GXD stores and integrates different types of expression data and makes these data freely available in formats appropriate for comprehensive analysis. There is particular emphasis on endogenous gene expression during mouse development.","abbreviation":"GXD","data_curation":{"url":"https://www.informatics.jax.org/expression.shtml","type":"manual","notes":"All data entered into GXD are reviewed by a team of experienced curators."},"support_links":[{"url":"http://www.informatics.jax.org/mgihome/GXD/FirstTimeUsers.shtml","name":"Help for First-Time Users","type":"Help documentation"},{"url":"http://www.informatics.jax.org/mgihome/homepages/stats/all_stats.shtml#allstats_gxd","name":"Statistics","type":"Help documentation"},{"url":"http://www.informatics.jax.org/mgihome/GXD/aboutGXD.shtml","name":"About GXD","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.informatics.jax.org/submit.shtml","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000659","bsg-d000659"],"name":"FAIRsharing record for: MGI Mouse Gene Expression Database","abbreviation":"GXD","url":"https://fairsharing.org/10.25504/FAIRsharing.q9neh8","doi":"10.25504/FAIRsharing.q9neh8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene Expression Database (GXD) is a community resource for gene expression information from the laboratory mouse. GXD stores and integrates different types of expression data and makes these data freely available in formats appropriate for comprehensive analysis. There is particular emphasis on endogenous gene expression during mouse development.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18219},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12709}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Transcriptomics"],"domains":["Expression data","Model organism","RNA sequencing","Genome"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":719,"pubmed_id":24958384,"title":"The gene expression database for mouse development (GXD): Putting developmental expression information at your fingertips.","year":2014,"url":"http://doi.org/10.1002/dvdy.24155","authors":"Smith CM, Finger JH, Kadin JA, Richardson JE, Ringwald M.","journal":"Developmental Dynamics","doi":"10.1002/dvdy.24155","created_at":"2021-09-30T08:23:39.244Z","updated_at":"2021-09-30T08:23:39.244Z"},{"id":720,"pubmed_id":24163257,"title":"The mouse Gene Expression Database (GXD): 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt954","authors":"Smith CM, Finger JH, Hayamizu TF, McCright IJ, Xu J, Berghout J, Campbell J, Corbani LE, Forthofer KL, Frost PJ, Miers D, Shaw DR, Stone KR, Eppig JT, Kadin JA, Richardson JE, Ringwald M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt954","created_at":"2021-09-30T08:23:39.353Z","updated_at":"2021-09-30T08:23:39.353Z"},{"id":721,"pubmed_id":21062809,"title":"The mouse Gene Expression Database (GXD): 2011 update.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1132","authors":"Finger JH, Smith CM, Hayamizu TF, McCright IJ, Eppig JT, Kadin JA, Richardson JE, Ringwald M.","journal":"Nucleic Acids Res 39 (suppl. 1)","doi":"10.1093/nar/gkq1132","created_at":"2021-09-30T08:23:39.461Z","updated_at":"2021-09-30T08:23:39.461Z"},{"id":1721,"pubmed_id":33104772,"title":"The mouse Gene Expression Database (GXD): 2021 update.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa914","authors":"Baldarelli RM,Smith CM,Finger JH,Hayamizu TF,McCright IJ,Xu J,Shaw DR,Beal JS,Blodgett O,Campbell J,Corbani LE,Frost PJ,Giannatto SC,Miers DB,Kadin JA,Richardson JE,Ringwald M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa914","created_at":"2021-09-30T08:25:32.860Z","updated_at":"2021-09-30T11:29:19.260Z"},{"id":2128,"pubmed_id":17130151,"title":"The mouse Gene Expression Database (GXD): 2007 update.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1003","authors":"Smith CM, Finger JH, Hayamizu TF, McCright IJ, Eppig JT, Kadin JA, Richardson JE, Ringwald, M.","journal":"Nucleic Acids Res. (Database Issue)","doi":"10.1093/nar/gkl1003","created_at":"2021-09-30T08:26:19.991Z","updated_at":"2021-09-30T08:26:19.991Z"},{"id":2138,"pubmed_id":11125060,"title":"The Mouse Gene Expression Database (GXD).","year":2000,"url":"http://doi.org/10.1093/nar/29.1.98","authors":"Ringwald M, Eppig JT, Begley DA, Corradi JP, McCright IJ, Hayamizu TF, Hill DP, Kadin JA, Richardson JE.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.98","created_at":"2021-09-30T08:26:21.032Z","updated_at":"2021-09-30T08:26:21.032Z"},{"id":2140,"pubmed_id":30335138,"title":"The mouse Gene Expression Database (GXD): 2019 update.","year":2018,"url":"http://doi.org/10.1093/nar/gky922","authors":"Smith CM,Hayamizu TF,Finger JH,Bello SM,McCright IJ,Xu J,Baldarelli RM,Beal JS,Campbell J,Corbani LE,Frost PJ,Lewis JR,Giannatto SC,Miers D,Shaw DR,Kadin JA,Richardson JE,Smith CL,Ringwald M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky922","created_at":"2021-09-30T08:26:21.256Z","updated_at":"2021-09-30T11:29:29.994Z"}],"licence_links":[{"licence_name":"MGI Warranty Disclaimer and Copyright Notice","licence_id":511,"licence_url":"http://www.informatics.jax.org/mgihome/other/copyright.shtml","link_id":493,"relation":"undefined"}],"grants":[{"id":1909,"fairsharing_record_id":2185,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:24.848Z","updated_at":"2021-09-30T09:31:08.671Z","grant_id":1037,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"HD062499","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1910,"fairsharing_record_id":2185,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:24.873Z","updated_at":"2021-09-30T09:25:24.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2175","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:44.223Z","metadata":{"doi":"10.25504/FAIRsharing.rt38zh","name":"Compartmentalized Protein-Protein Interaction","status":"ready","contacts":[{"contact_name":"Daniel Veres","contact_email":"veres.daniel1@med.semmelweis-univ.hu","contact_orcid":"0000-0002-2968-0666"}],"homepage":"http://comppi.linkgroup.hu/","citations":[],"identifier":2175,"description":"The compartmentalized protein-protein interaction database (ComPPI), provides qualitative information on the interactions, proteins and their localizations integrated from multiple databases for protein-protein interaction network analysis.","abbreviation":"ComPPI","data_curation":{"url":"http://comppi.linkgroup.hu/help/plans","type":"manual","notes":"ComPPI is a community-annotation resource, which will be continuously enriched by a user-community of experts helped by a public issue tracking system and by feedbacks from the core team."},"support_links":[{"url":"http://comppi.linkgroup.hu/contact","type":"Contact form"},{"url":"http://comppi.linkgroup.hu/help","type":"Help documentation"},{"url":"http://comppi.linkgroup.hu/help/tutorial","type":"Training documentation"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"url":"http://comppi.linkgroup.hu/help/terms_of_use","type":"open","notes":"The ComPPI database and the related source code are entirely open to the public"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000648","bsg-d000648"],"name":"FAIRsharing record for: Compartmentalized Protein-Protein Interaction","abbreviation":"ComPPI","url":"https://fairsharing.org/10.25504/FAIRsharing.rt38zh","doi":"10.25504/FAIRsharing.rt38zh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The compartmentalized protein-protein interaction database (ComPPI), provides qualitative information on the interactions, proteins and their localizations integrated from multiple databases for protein-protein interaction network analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Network model","Interactome","Cellular component","Cellular localization","Confidence score"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":692,"pubmed_id":null,"title":"ComPPI: a cellular compartment-specific database for protein-protein interaction network analysis","year":2015,"url":"https://doi.org/10.1093/nar/gku1007","authors":"Veres, V.D., Gyurko, M.D., Thaler, B., Szalay, K., Fazekas, D., Korcsmaros, T. and Csermely, P.","journal":"Nucleic Acid Res. Database Issue","doi":null,"created_at":"2021-09-30T08:23:36.269Z","updated_at":"2021-09-30T11:28:30.439Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":903,"relation":"undefined"}],"grants":[{"id":1876,"fairsharing_record_id":2175,"organisation_id":2121,"relation":"maintains","created_at":"2021-09-30T09:25:23.744Z","updated_at":"2021-09-30T09:25:23.744Z","grant_id":null,"is_lead":false,"saved_state":{"id":2121,"name":"NetBiol, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1878,"fairsharing_record_id":2175,"organisation_id":2545,"relation":"maintains","created_at":"2021-09-30T09:25:23.825Z","updated_at":"2021-09-30T09:25:23.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":2545,"name":"Semmelweis University, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1877,"fairsharing_record_id":2175,"organisation_id":1720,"relation":"maintains","created_at":"2021-09-30T09:25:23.787Z","updated_at":"2021-09-30T09:25:23.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1720,"name":"Link-Group, Budapest, Hungary","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1879,"fairsharing_record_id":2175,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:25:23.862Z","updated_at":"2021-09-30T09:29:54.253Z","grant_id":460,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"OTKA-K83314","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2184","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T10:43:25.000Z","updated_at":"2023-12-15T10:30:00.865Z","metadata":{"doi":"10.25504/FAIRsharing.vcmz9h","name":"SICAS Medical Image Repository","status":"ready","contacts":[{"contact_name":"Michael Kistler","contact_email":"michael.kistler@si-cas.com","contact_orcid":"0000-0002-1273-9473"}],"homepage":"https://www.smir.ch","citations":[],"identifier":2184,"description":"The Sicas Medical Image Repository is a medical database for academic, scientific, technical and clinical biomedical research and collaboration. Registration is required for data download and usage, although browsing and searching is available without registration.","abbreviation":"SMIR","data_curation":{"type":"manual"},"support_links":[{"url":"https://blog.smir.ch","name":"SMIR Blog","type":"Blog/News"},{"url":"support@smir.ch","name":"support@smir.ch","type":"Support email"},{"url":"https://docs.smir.ch","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/SICASFoundation","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/sicas_ch","name":"@sicas_ch","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/SICASFoundation/vsdConnect","name":"vsdConnect - Python library to connect to the SMIR API 0.8.1"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011560","name":"re3data:r3d100011560","portal":"re3data"}],"data_access_condition":{"type":"controlled"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Registration required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000658","bsg-d000658"],"name":"FAIRsharing record for: SICAS Medical Image Repository","abbreviation":"SMIR","url":"https://fairsharing.org/10.25504/FAIRsharing.vcmz9h","doi":"10.25504/FAIRsharing.vcmz9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sicas Medical Image Repository is a medical database for academic, scientific, technical and clinical biomedical research and collaboration. Registration is required for data download and usage, although browsing and searching is available without registration.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10990}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Biomedical Science"],"domains":["Image","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":709,"pubmed_id":24220210,"title":"The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration","year":2013,"url":"http://doi.org/10.2196/jmir.2930","authors":"Kistler, Michael; Bonaretti, Serena; Pfahrer, Marcel; Niklaus, Roman; Büchler, Philippe","journal":"Journal of Medical Internet Research","doi":"10.2196/jmir.2930","created_at":"2021-09-30T08:23:38.185Z","updated_at":"2021-09-30T08:23:38.185Z"}],"licence_links":[{"licence_name":"SMIR Terms and Conditions","licence_id":750,"licence_url":"https://www.smir.ch/Home/TermsAndConditions","link_id":620,"relation":"undefined"}],"grants":[{"id":1908,"fairsharing_record_id":2184,"organisation_id":2681,"relation":"maintains","created_at":"2021-09-30T09:25:24.823Z","updated_at":"2021-09-30T09:25:24.823Z","grant_id":null,"is_lead":true,"saved_state":{"id":2681,"name":"Swiss Institute for Computer Assisted Surgery","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2273","type":"fairsharing_records","attributes":{"created_at":"2016-04-08T15:42:45.000Z","updated_at":"2023-12-15T10:32:58.404Z","metadata":{"doi":"10.25504/FAIRsharing.ja871b","name":"EORTC clinical trials","status":"ready","homepage":"http://www.eortc.org/clinical-trials/","identifier":2273,"description":"European Organisation for Research and Treatment of Cancer database of clinical trials.","abbreviation":"EORTC","data_curation":{"type":"none"},"support_links":[{"url":"http://www.eortc.org/contact/","type":"Contact form"}],"data_versioning":"not found","data_access_condition":{"url":"https://www.eortc.org/app/uploads/2023/06/L-01-AF-01.pdf","type":"controlled","notes":"EORTC charges an administrative fee for managing and processing approved requests."},"data_contact_information":"not found","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000747","bsg-d000747"],"name":"FAIRsharing record for: EORTC clinical trials","abbreviation":"EORTC","url":"https://fairsharing.org/10.25504/FAIRsharing.ja871b","doi":"10.25504/FAIRsharing.ja871b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: European Organisation for Research and Treatment of Cancer database of clinical trials.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12746}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Cancer","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":2194,"fairsharing_record_id":2273,"organisation_id":948,"relation":"funds","created_at":"2021-09-30T09:25:35.311Z","updated_at":"2021-09-30T09:25:35.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":948,"name":"European Organisation for Research and Treatment of Cancer","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2275","type":"fairsharing_records","attributes":{"created_at":"2016-04-12T13:15:57.000Z","updated_at":"2023-12-15T10:32:19.732Z","metadata":{"doi":"10.25504/FAIRsharing.yfk4w2","name":"Genomics England | PanelApp","status":"ready","contacts":[{"contact_name":"PanelApp team","contact_email":"panelapp@genomicsengland.co.uk"}],"homepage":"https://panelapp.genomicsengland.co.uk/","citations":[],"identifier":2275,"description":"Genomics England PanelApp is a publically-available knowledgebase that allows virtual gene panels related to human disorders to be created, stored and queried. It includes a crowdsourcing tool that allows genes to be added or reviewed by experts throughout the worldwide scientific community, providing an opportunity for the standardisation of gene panels, and a consensus on which genes have sufficient evidence for disease association. The diagnostic grade ‘Green’ genes and their modes of inheritance in the Version 1+ PanelApp virtual gene panels are used to direct the variant tiering process for the interpretation of genomes in the 100,000 Genomes Project and for the National Health Service England Genomic Medicine Service. As panels in PanelApp are publically available, they can also be utilised by others. Experts are asked to register (https://panelapp.genomicsengland.co.uk/accounts/registration/) in order to review and rate the genes on the panel to indicate whether there is a diagnostic-grade level of evidence for the gene to be implicated in a given disease. Bioinformaticians can access the data via the PanelApp API (https://panelapp.genomicsengland.co.uk/#!API). More detailed background information, instructions and updates can be found on the PanelApp homepage tabs.","abbreviation":"PanelApp","data_curation":{"url":"https://panelapp.genomicsengland.co.uk/#!Reviewers","type":"manual","notes":"PanelApp has a crowdsourcing review tool to allow each gene to be reviewed and commented on by experts within the scientific community."},"support_links":[{"url":"https://panelapp.genomicsengland.co.uk/#!News","name":"News","type":"Blog/News"},{"url":"https://panelapp.genomicsengland.co.uk/#!FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://panelapp.genomicsengland.co.uk/","type":"Help documentation"},{"url":"https://panelapp.genomicsengland.co.uk/#!Navigating","type":"Help documentation"},{"url":"https://panelapp.genomicsengland.co.uk/#!Guidelines","name":"Guidelines","type":"Help documentation"},{"url":"https://twitter.com/GenomicsEngland","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://panelapp.genomicsengland.co.uk/","name":"PanelApp"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://panelapp.genomicsengland.co.uk/#!FAQs","type":"open","notes":"Template form can be sent by email upon request for submission of panels of genes from experts for the rare diseases covered in the 100,000 Genomes Project."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000749","bsg-d000749"],"name":"FAIRsharing record for: Genomics England | PanelApp","abbreviation":"PanelApp","url":"https://fairsharing.org/10.25504/FAIRsharing.yfk4w2","doi":"10.25504/FAIRsharing.yfk4w2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genomics England PanelApp is a publically-available knowledgebase that allows virtual gene panels related to human disorders to be created, stored and queried. It includes a crowdsourcing tool that allows genes to be added or reviewed by experts throughout the worldwide scientific community, providing an opportunity for the standardisation of gene panels, and a consensus on which genes have sufficient evidence for disease association. The diagnostic grade ‘Green’ genes and their modes of inheritance in the Version 1+ PanelApp virtual gene panels are used to direct the variant tiering process for the interpretation of genomes in the 100,000 Genomes Project and for the National Health Service England Genomic Medicine Service. As panels in PanelApp are publically available, they can also be utilised by others. Experts are asked to register (https://panelapp.genomicsengland.co.uk/accounts/registration/) in order to review and rate the genes on the panel to indicate whether there is a diagnostic-grade level of evidence for the gene to be implicated in a given disease. Bioinformaticians can access the data via the PanelApp API (https://panelapp.genomicsengland.co.uk/#!API). More detailed background information, instructions and updates can be found on the PanelApp homepage tabs.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12325},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12748}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Virology","Life Science","Epidemiology"],"domains":["Cancer","Rare disease","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":3014,"pubmed_id":31676867,"title":"PanelApp crowdsources expert knowledge to establish consensus diagnostic gene panels.","year":2019,"url":"http://doi.org/10.1038/s41588-019-0528-2","authors":"Martin AR,Williams E,Foulger RE,Leigh S,Daugherty LC,Niblock O,Leong IUS,Smith KR,Gerasimenko O,Haraldsdottir E,Thomas E,Scott RH,Baple E,Tucci A,Brittain H,de Burca A,Ibanez K,Kasperaviciute D,Smedley D,Caulfield M,Rendon A,McDonagh EM","journal":"Nat Genet","doi":"10.1038/s41588-019-0528-2","created_at":"2021-09-30T08:28:11.566Z","updated_at":"2021-09-30T08:28:11.566Z"}],"licence_links":[{"licence_name":"PanelApp Terms of Use","licence_id":644,"licence_url":"https://panelapp.genomicsengland.co.uk/media/files/GEL_-_PanelApp_Terms_of_Use_December_2019.pdf","link_id":1668,"relation":"undefined"}],"grants":[{"id":2197,"fairsharing_record_id":2275,"organisation_id":1116,"relation":"maintains","created_at":"2021-09-30T09:25:35.429Z","updated_at":"2021-09-30T09:25:35.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":1116,"name":"Genomics England, London, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2276","type":"fairsharing_records","attributes":{"created_at":"2016-04-13T08:55:39.000Z","updated_at":"2023-06-22T17:03:44.300Z","metadata":{"doi":"10.25504/FAIRsharing.hs4d6r","name":"miRandola: extracellular circulating RNAs database","status":"ready","contacts":[{"contact_name":"Francesco Russo","contact_email":"francesco.russo@iit.cnr.it","contact_orcid":"0000-0001-9257-4359"}],"homepage":"http://mirandola.iit.cnr.it/","citations":[],"identifier":2276,"description":"The miRandola database is the first resource for extracellular circulating RNAs. The first version of the database has been published on Plos One in 2012. It mainly contains information on circulating microRNAs and other non-coding RNAs. It is manually curated and constantly updated by the authors (usually once a year). We have extracted data from PubMed papers and Exocarta (a database that collects data regarding exosomes). We report information on methods of RNA extraction and qualification, diseases, experimental description, expression data and the potential biomarker role. We are updating the database with other RNAs and the future direction is to have a portal for all the non invasive biomarkers such as cell free DNA and circulating tumor cells.","abbreviation":"miRandola","data_curation":{"url":"http://mirandola.iit.cnr.it/about.php","type":"manual"},"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"http://ferrolab.dmi.unict.it/miro/","name":"miRo'"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000750","bsg-d000750"],"name":"FAIRsharing record for: miRandola: extracellular circulating RNAs database","abbreviation":"miRandola","url":"https://fairsharing.org/10.25504/FAIRsharing.hs4d6r","doi":"10.25504/FAIRsharing.hs4d6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The miRandola database is the first resource for extracellular circulating RNAs. The first version of the database has been published on Plos One in 2012. It mainly contains information on circulating microRNAs and other non-coding RNAs. It is manually curated and constantly updated by the authors (usually once a year). We have extracted data from PubMed papers and Exocarta (a database that collects data regarding exosomes). We report information on methods of RNA extraction and qualification, diseases, experimental description, expression data and the potential biomarker role. We are updating the database with other RNAs and the future direction is to have a portal for all the non invasive biomarkers such as cell free DNA and circulating tumor cells.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics"],"domains":["Biomarker","Cancer","Vesicle","Extracellular exosome","Long non-coding ribonucleic acid","Circulating cell-free RNA","Micro RNA","Non-coding RNA","Cardiovascular disease"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1017,"pubmed_id":23094086,"title":"miRandola: extracellular circulating microRNAs database.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0047786","authors":"Russo F, Di Bella S, Nigita G, Macca V, Laganà A, Giugno R, Pulvirenti A, Ferro A","journal":"Plos One","doi":"10.1371/journal.pone.0047786","created_at":"2021-09-30T08:24:12.588Z","updated_at":"2021-09-30T08:24:12.588Z"},{"id":1018,"pubmed_id":25077952,"title":"A knowledge base for the discovery of function, diagnostic potential and drug effects on cellular and extracellular miRNAs.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-S3-S4","authors":"Russo F, Di Bella S, Bonnici V, Laganà A, Rainaldi G, Pellegrini M, Pulvirenti A, Giugno R, Ferro A","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-S3-S4","created_at":"2021-09-30T08:24:12.748Z","updated_at":"2021-09-30T08:24:12.748Z"}],"licence_links":[],"grants":[{"id":2198,"fairsharing_record_id":2276,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:25:35.471Z","updated_at":"2021-09-30T09:25:35.471Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2202,"fairsharing_record_id":2276,"organisation_id":3040,"relation":"maintains","created_at":"2021-09-30T09:25:35.628Z","updated_at":"2021-09-30T09:25:35.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":3040,"name":"University of Catania, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2199,"fairsharing_record_id":2276,"organisation_id":2237,"relation":"maintains","created_at":"2021-09-30T09:25:35.508Z","updated_at":"2021-09-30T09:25:35.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":2237,"name":"Ohio State University, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2200,"fairsharing_record_id":2276,"organisation_id":1411,"relation":"maintains","created_at":"2021-09-30T09:25:35.545Z","updated_at":"2021-09-30T09:25:35.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":1411,"name":"Institute of Clinical Physiology (IFC-CNR), Pisa, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2201,"fairsharing_record_id":2276,"organisation_id":1419,"relation":"maintains","created_at":"2021-09-30T09:25:35.583Z","updated_at":"2021-09-30T09:25:35.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":1419,"name":"Institute of Informatics and Telematics (ITT), National Research Council, Pisa, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2280","type":"fairsharing_records","attributes":{"created_at":"2016-04-13T16:28:43.000Z","updated_at":"2024-06-17T09:07:57.920Z","metadata":{"doi":"10.25504/FAIRsharing.p5f1j4","name":"Deciphering the Mechanisms of Developmental Disorders","status":"deprecated","contacts":[{"contact_name":"Contact","contact_email":"contact@dmdd.org.uk"}],"homepage":"https://dmdd.org.uk","citations":[],"identifier":2280,"description":"Initiated in 2013, DMDD has the ambitious goal of identifying all embryonic lethal knockout lines made at the Wellcome Trust Sanger institute, through their work as a major centre for creation of individual mouse gene knockouts. DMDD uses a combination of comprehensive 3D imaging, tissue histology, immunocytochemistry and transcriptomics to identify abnormalities in embryo and placental structure for each embryonic lethal line. All data is made freely available via this web site, enabling individual researchers to identify lines relevant to their own research. The DMDD programme is coordinating its work with similar international efforts through the umbrella of the International Mouse Phenotyping Consortium.","abbreviation":"DMDD","data_curation":{"type":"not found"},"support_links":[{"url":"contact@dmdd.org.uk","type":"Support email"},{"url":"https://twitter.com/dmdduk","type":"Twitter"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2024-06-14","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000754","bsg-d000754"],"name":"FAIRsharing record for: Deciphering the Mechanisms of Developmental Disorders","abbreviation":"DMDD","url":"https://fairsharing.org/10.25504/FAIRsharing.p5f1j4","doi":"10.25504/FAIRsharing.p5f1j4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Initiated in 2013, DMDD has the ambitious goal of identifying all embryonic lethal knockout lines made at the Wellcome Trust Sanger institute, through their work as a major centre for creation of individual mouse gene knockouts. DMDD uses a combination of comprehensive 3D imaging, tissue histology, immunocytochemistry and transcriptomics to identify abnormalities in embryo and placental structure for each embryonic lethal line. All data is made freely available via this web site, enabling individual researchers to identify lines relevant to their own research. The DMDD programme is coordinating its work with similar international efforts through the umbrella of the International Mouse Phenotyping Consortium.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Developmental Biology"],"domains":["Imaging","Disease phenotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1045,"pubmed_id":26519470,"title":"Deciphering the mechanisms of developmental disorders: phenotype analysis of embryos from mutant mouse lines.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1138","authors":"Wilson R,McGuire C,Mohun T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1138","created_at":"2021-09-30T08:24:15.695Z","updated_at":"2021-09-30T11:28:57.284Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":856,"relation":"undefined"}],"grants":[{"id":2206,"fairsharing_record_id":2280,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:35.750Z","updated_at":"2021-09-30T09:25:35.750Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2207,"fairsharing_record_id":2280,"organisation_id":1046,"relation":"maintains","created_at":"2021-09-30T09:25:35.783Z","updated_at":"2021-09-30T09:25:35.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":1046,"name":"Francis Crick Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2291","type":"fairsharing_records","attributes":{"created_at":"2016-04-21T19:43:20.000Z","updated_at":"2024-02-27T17:02:39.644Z","metadata":{"doi":"10.25504/FAIRsharing.exc0vp","name":"iDog","status":"ready","contacts":[{"contact_name":"Wang Yanqing","contact_email":"wangyanqing@big.ac.cn"}],"homepage":"https://ngdc.cncb.ac.cn/idog/","citations":[{"doi":"10.1093/nar/gku1174","pubmed_id":25404132,"publication_id":1122}],"identifier":2291,"description":"iDog is an integrated resource for domestic dog (Canis lupus familiaris) and wild canids that provides the worldwide dog research community a variety of data services. This includes Genes, Genomes, SNPs, Breed/Disease Traits, Gene Expressions, Single Cell, Dog-Human Homolog Diseases and Literatures. In addition, iDog provides Online tools for performing genomic data visualization and analyses.","abbreviation":"iDog","data_curation":{"type":"not found"},"support_links":[{"url":"http://bigd.big.ac.cn/idog/pages/help/dogsd_help.jsp","name":"How to use Dog Genome Database (DogGD) ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/tutorial.jsp","name":"Tutorial","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/idog_breeds_nomenclature.jsp","name":"iDog Breeds Nomenclature ","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/gene_query.jsp","name":"Gene Query Help","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/dogpd_help.jsp","name":"How to use Dog Phenotype Database (DogPD) ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/doged_help.jsp","name":"How to use Dog Expression Database (DogED) ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/dogonline_help.jsp","name":"How to use DogOnline ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"idog@big.ac.cn","name":" iDog Helpdesk","type":"Support email"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"https://ngdc.cncb.ac.cn/egpscloud/data/app/egpscloud@big.ac.cn/bwa/conf/page.jsp?appId=270\u0026appCreateBy=egpscloud@big.ac.cn\u0026appName=bwa\u0026fromidog=1","name":"BWA"},{"url":"https://ngdc.cncb.ac.cn/dogvc/","name":"Dog Visual Classification"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012176","name":"re3data:r3d100012176","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000765","bsg-d000765"],"name":"FAIRsharing record for: iDog","abbreviation":"iDog","url":"https://fairsharing.org/10.25504/FAIRsharing.exc0vp","doi":"10.25504/FAIRsharing.exc0vp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iDog is an integrated resource for domestic dog (Canis lupus familiaris) and wild canids that provides the worldwide dog research community a variety of data services. This includes Genes, Genomes, SNPs, Breed/Disease Traits, Gene Expressions, Single Cell, Dog-Human Homolog Diseases and Literatures. In addition, iDog provides Online tools for performing genomic data visualization and analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Genetics","Comparative Genomics"],"domains":["Expression data","Genome annotation","Genome visualization","Gene functional annotation","Gene expression","Single nucleotide polymorphism","Genome","Gene-disease association"],"taxonomies":["Canis familiaris","Canis lupus","Cuon alpinus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1122,"pubmed_id":25404132,"title":"DoGSD: the dog and wolf genome SNP database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1174","authors":"Bai B,Zhao WM,Tang BX,Wang YQ,Wang L,Zhang Z,Yang HC,Liu YH,Zhu JW,Irwin DM,Wang GD,Zhang YP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1174","created_at":"2021-09-30T08:24:24.279Z","updated_at":"2021-09-30T11:28:59.560Z"},{"id":2807,"pubmed_id":30371881,"title":"iDog: an integrated resource for domestic dogs and wild canids.","year":2018,"url":"http://doi.org/10.1093/nar/gky1041","authors":"Tang B,Zhou Q,Dong L,Li W,Zhang X,Lan L,Zhai S,Xiao J,Zhang Z,Bao Y,Zhang YP,Wang GD,Zhao W","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1041","created_at":"2021-09-30T08:27:45.170Z","updated_at":"2021-09-30T11:29:45.354Z"},{"id":3144,"pubmed_id":33175170,"title":"Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa1022","authors":"CNCB-NGDC Members and Partners.","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa1022","created_at":"2021-12-02T14:55:04.738Z","updated_at":"2021-12-02T14:55:04.738Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":3514,"relation":"applies_to_content"},{"licence_name":"NGDC Data Usage Policy","licence_id":575,"licence_url":"https://bigd.big.ac.cn/policies","link_id":80,"relation":"undefined"}],"grants":[{"id":2226,"fairsharing_record_id":2291,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:25:36.477Z","updated_at":"2021-09-30T09:25:36.477Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2292","type":"fairsharing_records","attributes":{"created_at":"2016-04-24T12:29:07.000Z","updated_at":"2021-11-24T13:19:31.831Z","metadata":{"doi":"10.25504/FAIRsharing.1v4zw7","name":"OmicsDB","status":"deprecated","contacts":[{"contact_name":"Keiron O'Shea","contact_email":"keo7@aber.ac.uk","contact_orcid":"0000-0002-9043-3496"}],"homepage":"https://github.com/KeironO/omicsdb","identifier":2292,"description":"OmicsDB is a database for the storage and management of omics data and auxiliary information. The database contains cross-species, cross-technique and cross-types. It offers user-submission tools of which aim to reduce the work revolving adherence to standards. The resource homepage is currently unavailable. If you have any information on the current status of this resource, please contact us.","abbreviation":"ODB","data_curation":{"type":"not found"},"year_creation":2016,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000766","bsg-d000766"],"name":"FAIRsharing record for: OmicsDB","abbreviation":"ODB","url":"https://fairsharing.org/10.25504/FAIRsharing.1v4zw7","doi":"10.25504/FAIRsharing.1v4zw7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OmicsDB is a database for the storage and management of omics data and auxiliary information. The database contains cross-species, cross-technique and cross-types. It offers user-submission tools of which aim to reduce the work revolving adherence to standards. The resource homepage is currently unavailable. If you have any information on the current status of this resource, please contact us.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":[],"taxonomies":["All","Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1379,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2293","type":"fairsharing_records","attributes":{"created_at":"2016-04-26T13:27:00.000Z","updated_at":"2024-02-21T11:49:08.314Z","metadata":{"doi":"10.25504/FAIRsharing.4shj9c","name":"dictyBase","status":"ready","contacts":[{"contact_name":"dictyBase Helpdesk","contact_email":"dictybase@northwestern.edu"}],"homepage":"http://www.dictybase.org","citations":[{"doi":"10.1007/978-1-62703-302-2_4","pubmed_id":23494302,"publication_id":2107}],"identifier":2293,"description":"dictyBase is a single-access database for the complete genome sequence and expression data of four Dictyostelid species providing information on research, genome and annotations. There is also a repository of plasmids and strains held at the Dicty Stock Centre. Relevant literature is integrated into the database, and gene models and functional annotation are manually curated from experimental results and comparative multigenome analyses. Please note that, while the homepage we have listed (http://www.dictybase.org/) is accessible, its front page suggests redirection to https://dictycr.org/ which is not accessible. Therefore we are unsure of the status of this resource.","abbreviation":null,"data_curation":{"url":"http://www.dictybase.org/FAQ/FAQ.html#curation","type":"manual"},"support_links":[{"url":"http://dictybase.org/FAQ/HelpFilesIndex.html","name":"dictyBase Help","type":"Help documentation"},{"url":"http://dictybase.org/About_dictyBase/","name":"About dictyBase","type":"Help documentation"},{"url":"http://dictybase.org/tutorial/","name":"Tutorial","type":"Training documentation"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"http://dictybase.org/tools/jbrowse/","name":"JBrowse 1.11.6"},{"url":"http://dictybase.org/browser/gbrowse/discoideum/?name=1:1..30000","name":"Genome Browser"},{"url":"http://dictybase.org/tools/blast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010586","name":"re3data:r3d100010586","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006643","name":"SciCrunch:RRID:SCR_006643","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000767","bsg-d000767"],"name":"FAIRsharing record for: dictyBase","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4shj9c","doi":"10.25504/FAIRsharing.4shj9c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dictyBase is a single-access database for the complete genome sequence and expression data of four Dictyostelid species providing information on research, genome and annotations. There is also a repository of plasmids and strains held at the Dicty Stock Centre. Relevant literature is integrated into the database, and gene models and functional annotation are manually curated from experimental results and comparative multigenome analyses. Please note that, while the homepage we have listed (http://www.dictybase.org/) is accessible, its front page suggests redirection to https://dictycr.org/ which is not accessible. Therefore we are unsure of the status of this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Life Science","Comparative Genomics"],"domains":["Codon usage table","Gene functional annotation","Cellular component","Plasmid","Phenotype","Genome","Genetic strain"],"taxonomies":["Dictyostelium discoideum","Dictyostelium fasciculatum","Dictyostelium purpureum","Polysphondylium pallidum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2107,"pubmed_id":23494302,"title":"One stop shop for everything Dictyostelium: dictyBase and the Dicty Stock Center in 2012.","year":2013,"url":"http://doi.org/10.1007/978-1-62703-302-2_4","authors":"Fey P,Dodson RJ,Basu S,Chisholm RL","journal":"Methods Mol Biol","doi":"10.1007/978-1-62703-302-2_4","created_at":"2021-09-30T08:26:17.466Z","updated_at":"2021-09-30T08:26:17.466Z"},{"id":2108,"pubmed_id":23172289,"title":"DictyBase 2013: integrating multiple Dictyostelid species.","year":2012,"url":"http://doi.org/10.1093/nar/gks1064","authors":"Basu S,Fey P,Pandit Y,Dodson R,Kibbe WA,Chisholm RL","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1064","created_at":"2021-09-30T08:26:17.572Z","updated_at":"2021-09-30T11:29:28.586Z"},{"id":2109,"pubmed_id":14681427,"title":"dictyBase: a new Dictyostelium discoideum genome database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh138","authors":"Kreppel L,Fey P,Gaudet P,Just E,Kibbe WA,Chisholm RL,Kimmel AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh138","created_at":"2021-09-30T08:26:17.764Z","updated_at":"2021-09-30T11:29:28.731Z"}],"licence_links":[],"grants":[{"id":2228,"fairsharing_record_id":2293,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:36.555Z","updated_at":"2021-09-30T09:25:36.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2231,"fairsharing_record_id":2293,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:36.666Z","updated_at":"2021-09-30T09:25:36.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2229,"fairsharing_record_id":2293,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:25:36.596Z","updated_at":"2024-02-21T09:12:17.881Z","grant_id":null,"is_lead":true,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2283","type":"fairsharing_records","attributes":{"created_at":"2016-04-19T10:01:57.000Z","updated_at":"2024-01-25T10:12:28.234Z","metadata":{"doi":"10.25504/FAIRsharing.ekj9zx","name":"Standards for Reporting Enzymology Data Database","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"strenda@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-strenda-db.org/strenda/","citations":[{"doi":"10.1111/febs.14427","pubmed_id":29498804,"publication_id":3082}],"identifier":2283,"description":"STRENDA DB is a storage and search platform supported by the Beilstein-Institut that incorporates the STRENDA Guidelines in a user-friendly, web-based system. If you are an author who is preparing a manuscript containing functional enzymology data, STRENDA DB provides you the means to ensure that your data sets are complete and valid before you submit them as part of a publication to a journal. Data entered in the STRENDA DB submission form are automatically checked for compliance with the STRENDA Guidelines; users receive warnings informing them when necessary information is missing. A successful formal compliance is confirmed by the awarding of a STRENDA Registry Number (SRN) and documented in a fact sheet (PDF) containing all input data that can be submitted with the manuscript to the journal. In addition, each dataset is assigned a DOI that allows reference and tracking of the data. The data become publicly available in the database only after the corresponding article has been peer-reviewed and published in a journal.","abbreviation":"STRENDA DB","data_curation":{"url":"https://www.beilstein-strenda-db.org/strenda/help/STRENDA_DB_UserGuide_v0.92.pdf","type":"manual"},"support_links":[{"url":"strenda-db-service@beilstein-institut.de","name":"General Contact","type":"Support email"},{"url":"https://www.beilstein-strenda-db.org/strenda/help/helpOverview.xhtml","name":"Help","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012329","name":"re3data:r3d100012329","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_017422","name":"SciCrunch:RRID:SCR_017422","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.beilstein-strenda-db.org/strenda/help/STRENDA_DB_UserGuide_v0.92.pdf","type":"open","notes":"Login is required to submit data"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000757","bsg-d000757"],"name":"FAIRsharing record for: Standards for Reporting Enzymology Data Database","abbreviation":"STRENDA DB","url":"https://fairsharing.org/10.25504/FAIRsharing.ekj9zx","doi":"10.25504/FAIRsharing.ekj9zx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STRENDA DB is a storage and search platform supported by the Beilstein-Institut that incorporates the STRENDA Guidelines in a user-friendly, web-based system. If you are an author who is preparing a manuscript containing functional enzymology data, STRENDA DB provides you the means to ensure that your data sets are complete and valid before you submit them as part of a publication to a journal. Data entered in the STRENDA DB submission form are automatically checked for compliance with the STRENDA Guidelines; users receive warnings informing them when necessary information is missing. A successful formal compliance is confirmed by the awarding of a STRENDA Registry Number (SRN) and documented in a fact sheet (PDF) containing all input data that can be submitted with the manuscript to the journal. In addition, each dataset is assigned a DOI that allows reference and tracking of the data. The data become publicly available in the database only after the corresponding article has been peer-reviewed and published in a journal.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17776}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Enzymology"],"domains":["Reaction data","Assay","Protocol","Enzyme","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":3082,"pubmed_id":29498804,"title":"STRENDA DB: enabling the validation and sharing of enzyme kinetics data","year":2018,"url":"http://doi.org/10.1111/febs.14427","authors":"Swainston, N., Baici, A., Bakker, B.M., et al.","journal":"The FEBS J.","doi":"10.1111/febs.14427","created_at":"2021-09-30T08:28:19.739Z","updated_at":"2021-09-30T08:28:19.739Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2125,"relation":"undefined"}],"grants":[{"id":2212,"fairsharing_record_id":2283,"organisation_id":2654,"relation":"maintains","created_at":"2021-09-30T09:25:35.976Z","updated_at":"2021-09-30T09:25:35.976Z","grant_id":null,"is_lead":false,"saved_state":{"id":2654,"name":"STRENDA Commission","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2213,"fairsharing_record_id":2283,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:25:36.012Z","updated_at":"2021-09-30T09:25:36.012Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWWc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--758ad1a51ebee7d3e2718d4b98a222d3b5f004ba/Logo_Beilstein_STRENDA_CMYK.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2285","type":"fairsharing_records","attributes":{"created_at":"2016-04-20T11:48:19.000Z","updated_at":"2023-06-22T16:29:33.378Z","metadata":{"doi":"10.25504/FAIRsharing.xhxe2j","name":"e-Mouse Atlas","status":"deprecated","contacts":[{"contact_name":"Richard Baldock","contact_email":"Richard.Baldock@igmm.ed.ac.uk"}],"homepage":"http://www.emouseatlas.org/emap/ema/home.html","citations":[],"identifier":2285,"description":"The e-Mouse Atlas (EMA) is a detailed model of the developing mouse. Its purpose is not only to provide information about the shape, gross anatomy and detailed histological structure of the mouse, but also to provide a framework into which information about gene function can be mapped. The spatial, temporal and anatomical integration achieved by mapping diverse data to the organism itself rather than simply to database tables, allows powerful computational analyses. The website presents 3D volumetric models of the embryo linked, in most cases, to comprehensive and detailed images of histological structure. The embryo models and anatomy in EMA are organized by standard developmental stage (TS. after Theiler, 1989) and age of the embryo in days post coitum (dpc.). Gene-expression and other image data is also available.","abbreviation":"EMA","data_curation":{"url":"https://doi.org/10.1093/nar/gkt1155","type":"manual/automated"},"support_links":[{"url":"http://www.emouseatlas.org/emage/help/contact.html","type":"Contact form"},{"url":"http://www.emouseatlas.org/emage/help/all_help.html","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emage/help/documentation.html","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emage/help/tutorials.html","type":"Training documentation"}],"year_creation":2000,"data_versioning":"not found","associated_tools":[{"url":"https://github.com/ma-tech","name":"Image manipulation and visualisation code"},{"url":"http://www.emouseatlas.org/emap/analysis_tools_resources/software.html","name":"Image manipulation and visualisation tools"}],"deprecation_date":"2023-05-10","deprecation_reason":"As described on their homepage, as of April 2023 the Mouse Atlas resource has been unfunded for 5 years and maintained in \"as-is\" state by the Human Genetics Unit. That support will be withdrawn and the machines decommisioned in September 2023. As such, this resource has been marked as deprecated.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000759","bsg-d000759"],"name":"FAIRsharing record for: e-Mouse Atlas","abbreviation":"EMA","url":"https://fairsharing.org/10.25504/FAIRsharing.xhxe2j","doi":"10.25504/FAIRsharing.xhxe2j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The e-Mouse Atlas (EMA) is a detailed model of the developing mouse. Its purpose is not only to provide information about the shape, gross anatomy and detailed histological structure of the mouse, but also to provide a framework into which information about gene function can be mapped. The spatial, temporal and anatomical integration achieved by mapping diverse data to the organism itself rather than simply to database tables, allows powerful computational analyses. The website presents 3D volumetric models of the embryo linked, in most cases, to comprehensive and detailed images of histological structure. The embryo models and anatomy in EMA are organized by standard developmental stage (TS. after Theiler, 1989) and age of the embryo in days post coitum (dpc.). Gene-expression and other image data is also available.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11222},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11367},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12148}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Developmental Biology"],"domains":["Bioimaging","Gene expression","Image","Life cycle stage"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1108,"pubmed_id":24265223,"title":"EMAGE mouse embryo spatial gene expression database: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1155","authors":"Richardson L,Venkataraman S,Stevenson P,Yang Y,Moss J,Graham L,Burton N,Hill B,Rao J,Baldock RA,Armit C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1155","created_at":"2021-09-30T08:24:22.755Z","updated_at":"2021-09-30T11:28:58.918Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":555,"relation":"undefined"}],"grants":[{"id":2217,"fairsharing_record_id":2285,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:36.148Z","updated_at":"2021-09-30T09:25:36.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2215,"fairsharing_record_id":2285,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:36.092Z","updated_at":"2021-09-30T09:25:36.092Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2216,"fairsharing_record_id":2285,"organisation_id":1903,"relation":"maintains","created_at":"2021-09-30T09:25:36.124Z","updated_at":"2021-09-30T09:25:36.124Z","grant_id":null,"is_lead":false,"saved_state":{"id":1903,"name":"MRC Institute of Genetics \u0026 Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa0VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--71d6e2742ca691b817c763ac1cce0cfcb0045f48/ema_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2290","type":"fairsharing_records","attributes":{"created_at":"2016-04-21T19:30:56.000Z","updated_at":"2024-03-21T13:59:05.919Z","metadata":{"doi":"10.25504/FAIRsharing.4m97ah","name":"BioPortal","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"support@bioontology.org","contact_orcid":"0000-0001-6875-5360"}],"homepage":"http://bioportal.bioontology.org/","citations":[{"doi":"10.1093/nar/gkr469","pubmed_id":21672956,"publication_id":1120}],"identifier":2290,"description":"BioPortal is a library of biomedical ontologies and terminologies developed in Web Ontology Language (OWL), Resource Description Framework (RDF)(S), Open Biological and Biomedical Ontologies (OBO) format, and Protégé frames and Rich Release Format. BioPortal groups ontologies by domain to aid discoverability and allows users to browse, search and visualize the content of ontologies. BioPortal also provides ontology recommendation, text annotation, ontology mapping, and a reference index to resources like PubMed.","abbreviation":"BioPortal","data_curation":{"url":"https://data.bioontology.org/documentation#nav_annotator","type":"manual/automated"},"support_links":[{"url":"https://bioportal.bioontology.org/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.bioontology.org/wiki/BioPortal_FAQ","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.bioontology.org/wiki/BioPortal_Help","name":"BioPortal Help","type":"Help documentation"},{"url":"https://www.bioontology.org/wiki/BioPortal_Release_Notes","name":"Release Notes","type":"Help documentation"},{"url":"http://github.com/ncbo","name":"Github Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/browsing-the-enanomapper-ontology-with-bioportal-aberowl-and-protege","name":"Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protg","type":"TeSS links to training materials"},{"url":"https://twitter.com/bioontology","name":"@bioontology","type":"Twitter"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"https://ontoportal.github.io/administration/","name":"OntoPortal Virtual Appliance 3.0"},{"url":"https://www.bioontology.org/wiki/NCBO_Widgets","name":"NCBO Widgets"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012344","name":"re3data:r3d100012344","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002713","name":"SciCrunch:RRID:SCR_002713","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html","name":"NIH-Supported Data Sharing Resource (sustained support)"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://ncbo.bioontology.org/BioPortal","name":"open-source archives"},"data_deposition_condition":{"url":"https://www.bioontology.org/wiki/BioPortal_Help#Submitting_an_ontology","type":"controlled","notes":"Sign-up required for submission"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000764","bsg-d000764"],"name":"FAIRsharing record for: BioPortal","abbreviation":"BioPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.4m97ah","doi":"10.25504/FAIRsharing.4m97ah","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioPortal is a library of biomedical ontologies and terminologies developed in Web Ontology Language (OWL), Resource Description Framework (RDF)(S), Open Biological and Biomedical Ontologies (OBO) format, and Protégé frames and Rich Release Format. BioPortal groups ontologies by domain to aid discoverability and allows users to browse, search and visualize the content of ontologies. BioPortal also provides ontology recommendation, text annotation, ontology mapping, and a reference index to resources like PubMed.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11129},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12255},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19989}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1120,"pubmed_id":21672956,"title":"BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications.","year":2011,"url":"http://doi.org/10.1093/nar/gkr469","authors":"Whetzel PL,Noy NF,Shah NH,Alexander PR,Nyulas C,Tudorache T,Musen MA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr469","created_at":"2021-09-30T08:24:24.070Z","updated_at":"2021-09-30T11:28:59.460Z"}],"licence_links":[],"grants":[{"id":2224,"fairsharing_record_id":2290,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:25:36.396Z","updated_at":"2021-09-30T09:25:36.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2223,"fairsharing_record_id":2290,"organisation_id":1959,"relation":"maintains","created_at":"2021-09-30T09:25:36.354Z","updated_at":"2021-09-30T09:25:36.354Z","grant_id":null,"is_lead":true,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":11579,"fairsharing_record_id":2290,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:05.162Z","updated_at":"2024-03-21T13:59:05.821Z","grant_id":37,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54-HG004028","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2271","type":"fairsharing_records","attributes":{"created_at":"2016-04-08T12:26:03.000Z","updated_at":"2023-12-15T10:31:25.945Z","metadata":{"doi":"10.25504/FAIRsharing.566n8c","name":"EU Clinical Trial Register","status":"ready","contacts":[{"contact_email":"euctr@ema.europa.eu"}],"homepage":"https://www.clinicaltrialsregister.eu/","citations":[],"identifier":2271,"description":"The EU Clinical Trials Register contains information on interventional clinical trials on medicines conducted in the European Union (EU), or the European Economic Area (EEA) which started after 1 May 2004.","abbreviation":"EUCTR","data_curation":{"url":"https://www.clinicaltrialsregister.eu/dataquality.html","type":"automated"},"support_links":[{"url":"euctr@ema.europa.eu","type":"Support email"},{"url":"https://www.clinicaltrialsregister.eu/doc/EU_CTR_FAQ.pdf","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.clinicaltrialsregister.eu/doc/How_to_Search_EU_CTR.pdf","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013302","name":"re3data:r3d100013302","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000745","bsg-d000745"],"name":"FAIRsharing record for: EU Clinical Trial Register","abbreviation":"EUCTR","url":"https://fairsharing.org/10.25504/FAIRsharing.566n8c","doi":"10.25504/FAIRsharing.566n8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EU Clinical Trials Register contains information on interventional clinical trials on medicines conducted in the European Union (EU), or the European Economic Area (EEA) which started after 1 May 2004.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12324},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12744}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Biomedical Science","Epidemiology","Preclinical Studies","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"European Medicines Agency Legal Notice","licence_id":302,"licence_url":"http://www.ema.europa.eu/ema/index.jsp?curl=pages/regulation/general/general_content_000178.jsp","link_id":1370,"relation":"undefined"}],"grants":[{"id":2192,"fairsharing_record_id":2271,"organisation_id":939,"relation":"maintains","created_at":"2021-09-30T09:25:35.234Z","updated_at":"2021-09-30T09:25:35.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":939,"name":"European Medicines Agency, London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2281","type":"fairsharing_records","attributes":{"created_at":"2016-04-15T11:12:20.000Z","updated_at":"2024-03-27T22:29:01.845Z","metadata":{"doi":"10.25504/FAIRsharing.szs7pn","name":"MetaNetX","status":"ready","contacts":[{"contact_name":"Sebastien Moretti","contact_email":"help@metanetx.org","contact_orcid":"0000-0003-3947-488X"}],"homepage":"https://www.metanetx.org/","citations":[],"identifier":2281,"description":"MetaNetX/MNXref is a database for reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. The tools developed at MetaNetX are useful for accessing, analysing and manipulating metabolic networks. MetaNetX goal is to automate model construction and genome annotation for large-scale metabolic networks.","abbreviation":"MNXref","data_curation":{"type":"not found"},"support_links":[{"url":"help@metanetx.org","type":"Support email"},{"url":"https://metanetx.org/mnxdoc/mnxref.html","type":"Help documentation"},{"url":"https://twitter.com/MetaNetX_org","name":"@MetaNetX_org","type":"Twitter"},{"url":"https://www.metanetx.org/mnxdoc/help.html","name":"Getting started","type":"Help documentation"},{"url":"https://www.metanetx.org/mnxdoc/short-tutorial.html","name":"Short tutorial ","type":"Help documentation"},{"url":"https://www.metanetx.org/mnxdoc/mnet-spec.html","name":"Model internal specification","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","data_access_condition":{"url":"https://www.metanetx.org/mnxdoc/help.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.metanetx.org/mnxdoc/help.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000755","bsg-d000755"],"name":"FAIRsharing record for: MetaNetX","abbreviation":"MNXref","url":"https://fairsharing.org/10.25504/FAIRsharing.szs7pn","doi":"10.25504/FAIRsharing.szs7pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaNetX/MNXref is a database for reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. The tools developed at MetaNetX are useful for accessing, analysing and manipulating metabolic networks. MetaNetX goal is to automate model construction and genome annotation for large-scale metabolic networks.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11781},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19553}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cheminformatics","Biochemistry","Systems Biology"],"domains":["Network model","Molecular interaction"],"taxonomies":["Animalia","Archaea","Bacteria","Fungi","Plantae"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":411,"pubmed_id":23357920,"title":"MetaNetX.org: a website and repository for accessing, analysing and manipulating metabolic networks.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt036","authors":"Ganter M,Bernard T,Moretti S,Stelling J,Pagni M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt036","created_at":"2021-09-30T08:23:04.666Z","updated_at":"2021-09-30T08:23:04.666Z"},{"id":628,"pubmed_id":33156326,"title":"MetaNetX/MNXref: unified namespace for metabolites and biochemical reactions in the context of metabolic models.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa992","authors":"Moretti S,Tran VDT,Mehl F,Ibberson M,Pagni M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa992","created_at":"2021-09-30T08:23:29.030Z","updated_at":"2021-09-30T11:28:48.517Z"},{"id":1109,"pubmed_id":26527720,"title":"MetaNetX/MNXref - reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1117","authors":"Moretti S,Martin O,Van Du Tran T,Bridge A,Morgat A,Pagni M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1117","created_at":"2021-09-30T08:24:22.904Z","updated_at":"2021-09-30T11:28:59.060Z"},{"id":1110,"pubmed_id":23172809,"title":"Reconciliation of metabolites and biochemical reactions for metabolic networks.","year":2012,"url":"http://doi.org/10.1093/bib/bbs058","authors":"Bernard T,Bridge A,Morgat A,Moretti S,Xenarios I,Pagni M","journal":"Brief Bioinform","doi":"10.1093/bib/bbs058","created_at":"2021-09-30T08:24:22.997Z","updated_at":"2021-09-30T08:24:22.997Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1646,"relation":"undefined"}],"grants":[{"id":2209,"fairsharing_record_id":2281,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:25:35.862Z","updated_at":"2021-09-30T09:25:35.862Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2208,"fairsharing_record_id":2281,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:35.820Z","updated_at":"2021-09-30T09:25:35.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2282","type":"fairsharing_records","attributes":{"created_at":"2016-04-15T14:55:24.000Z","updated_at":"2023-12-15T10:32:01.887Z","metadata":{"doi":"10.25504/FAIRsharing.r18yt0","name":"data.eNanoMapper.net","status":"ready","contacts":[{"contact_name":"Jiakang Chang","contact_email":"jkchang@ebi.ac.uk","contact_orcid":"0000-0003-2157-0398"}],"homepage":"https://data.enanomapper.net/","identifier":2282,"description":"data.eNanoMapper.net is a public database hosting nanomaterials characterization data and biological and toxicological information. The database provides various possibilities to search and explore information, and to download data in various standard formats. The database supports data upload through configurable Excel templates.","abbreviation":"data.eNanoMapper.net","data_curation":{"url":"https://enanomapper.adma.ai/help/#dataentry","type":"manual/automated"},"support_links":[{"url":"support@ideaconsult.net","type":"Support email"},{"url":"https://tess.elixir-europe.org/materials/entering-and-analysing-nano-safety-data","name":"Entering and analysing nano safety data","type":"Help documentation"},{"url":"http://ambit.sourceforge.net/usage.html","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/entering-and-analysing-nano-safety-data","name":"Entering and analysing nano safety data","type":"TeSS links to training materials"}],"year_creation":2014,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013052","name":"re3data:r3d100013052","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://enanomapper.adma.ai/help/#dataentry","type":"open","notes":"Free login is required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000756","bsg-d000756"],"name":"FAIRsharing record for: data.eNanoMapper.net","abbreviation":"data.eNanoMapper.net","url":"https://fairsharing.org/10.25504/FAIRsharing.r18yt0","doi":"10.25504/FAIRsharing.r18yt0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: data.eNanoMapper.net is a public database hosting nanomaterials characterization data and biological and toxicological information. The database provides various possibilities to search and explore information, and to download data in various standard formats. The database supports data upload through configurable Excel templates.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10862},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11782}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Chemistry"],"domains":["Chemical entity","Nanoparticle"],"taxonomies":["Not applicable"],"user_defined_tags":["Nanosafety"],"countries":["European Union"],"publications":[{"id":1008,"pubmed_id":21991315,"title":"The chemical information ontology: provenance and disambiguation for chemical data on the biological semantic web.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0025513","authors":"Hastings J,Chepelev L,Willighagen E,Adams N,Steinbeck C,Dumontier M","journal":"PLoS One","doi":"10.1371/journal.pone.0025513","created_at":"2021-09-30T08:24:11.621Z","updated_at":"2021-09-30T08:24:11.621Z"},{"id":1088,"pubmed_id":25815161,"title":"eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment.","year":2015,"url":"http://doi.org/10.1186/s13326-015-0005-5","authors":"Hastings J,Jeliazkova N,Owen G,Tsiliki G,Munteanu CR,Steinbeck C,Willighagen E","journal":"J Biomed Semantics","doi":"10.1186/s13326-015-0005-5","created_at":"2021-09-30T08:24:20.515Z","updated_at":"2021-09-30T08:24:20.515Z"},{"id":1103,"pubmed_id":26425413,"title":"The eNanoMapper database for nanomaterial safety information.","year":2015,"url":"http://doi.org/10.3762/bjnano.6.165","authors":"Jeliazkova N,Chomenidis C,Doganis P,Fadeel B,Grafstrom R,Hardy B,Hastings J,Hegi M,Jeliazkov V,Kochev N,Kohonen P,Munteanu CR,Sarimveis H,Smeets B,Sopasakis P,Tsiliki G,Vorgrimmler D,Willighagen E","journal":"Beilstein J Nanotechnol","doi":"10.3762/bjnano.6.165","created_at":"2021-09-30T08:24:22.165Z","updated_at":"2021-09-30T08:24:22.165Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":629,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":633,"relation":"undefined"}],"grants":[{"id":2210,"fairsharing_record_id":2282,"organisation_id":858,"relation":"maintains","created_at":"2021-09-30T09:25:35.900Z","updated_at":"2021-09-30T09:25:35.900Z","grant_id":null,"is_lead":false,"saved_state":{"id":858,"name":"eNanoMapper","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9094,"fairsharing_record_id":2282,"organisation_id":913,"relation":"funds","created_at":"2022-04-07T13:20:36.010Z","updated_at":"2022-04-07T13:20:36.010Z","grant_id":197,"is_lead":false,"saved_state":{"id":913,"name":"European Commision","grant":"731032","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9095,"fairsharing_record_id":2282,"organisation_id":913,"relation":"funds","created_at":"2022-04-07T13:20:36.028Z","updated_at":"2022-04-07T13:20:36.028Z","grant_id":85,"is_lead":false,"saved_state":{"id":913,"name":"European Commision","grant":"604134","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2286","type":"fairsharing_records","attributes":{"created_at":"2016-04-20T11:55:17.000Z","updated_at":"2023-12-15T10:29:45.697Z","metadata":{"doi":"10.25504/FAIRsharing.6qr9jp","name":"e-Mouse Atlas of Gene Expression","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"emage@emouseatlas.org"}],"homepage":"https://www.emouseatlas.org/emage/home.php","citations":[{"doi":"10.1093/nar/gkt1155","pubmed_id":24265223,"publication_id":1108}],"identifier":2286,"description":"The e-Mouse Atlas of Gene Expression (EMAGE) is a freely available database of in situ gene expression patterns that allows users to perform online queries of mouse developmental gene expression. EMAGE is unique in providing both text-based descriptions of gene expression plus spatial maps of gene expression patterns. This mapping allows spatial queries to be accomplished alongside more traditional text-based queries.","abbreviation":"EMAGE","data_curation":{"url":"https://www.emouseatlas.org/emage/about/data_curation.php","type":"manual/automated"},"support_links":[{"url":"https://www.emouseatlas.org/emage/help/contact.php","name":"Contact Information","type":"Contact form"},{"url":"https://www.emouseatlas.org/emage/help/faqs.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.emouseatlas.org/emage/help/all_help.php","name":"All Help Pages","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010564","name":"re3data:r3d100010564","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005391","name":"SciCrunch:RRID:SCR_005391","portal":"SciCrunch"}],"deprecation_date":"2023-09-22","deprecation_reason":"The resource homepage is no longer valid, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.emouseatlas.org/emap/news/news.html","name":"This Mouse Atlas resource has been unfunded for 5 years and maintained in \"as-is\" state by the Human Genetics Unit. That support is being withdrawn and the machines decommisioned in September 2023."},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.emouseatlas.org/emage/help/faqs.php#curation","type":"controlled","notes":"Data is entered into EMAGE primarily by full-time EMAGE curators who make entries based on information supplied by the data submitter."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000760","bsg-d000760"],"name":"FAIRsharing record for: e-Mouse Atlas of Gene Expression","abbreviation":"EMAGE","url":"https://fairsharing.org/10.25504/FAIRsharing.6qr9jp","doi":"10.25504/FAIRsharing.6qr9jp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The e-Mouse Atlas of Gene Expression (EMAGE) is a freely available database of in situ gene expression patterns that allows users to perform online queries of mouse developmental gene expression. EMAGE is unique in providing both text-based descriptions of gene expression plus spatial maps of gene expression patterns. This mapping allows spatial queries to be accomplished alongside more traditional text-based queries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Developmental Biology","Transcriptomics"],"domains":["Expression data","Model organism","Gene expression","In situ hybridization","Immunohistochemistry","Life cycle stage"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1108,"pubmed_id":24265223,"title":"EMAGE mouse embryo spatial gene expression database: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1155","authors":"Richardson L,Venkataraman S,Stevenson P,Yang Y,Moss J,Graham L,Burton N,Hill B,Rao J,Baldock RA,Armit C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1155","created_at":"2021-09-30T08:24:22.755Z","updated_at":"2021-09-30T11:28:58.918Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1639,"relation":"undefined"}],"grants":[{"id":2220,"fairsharing_record_id":2286,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:36.246Z","updated_at":"2021-09-30T09:25:36.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2218,"fairsharing_record_id":2286,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:36.173Z","updated_at":"2021-09-30T09:25:36.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2219,"fairsharing_record_id":2286,"organisation_id":1903,"relation":"maintains","created_at":"2021-09-30T09:25:36.204Z","updated_at":"2021-09-30T09:25:36.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":1903,"name":"MRC Institute of Genetics \u0026 Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa0FCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0957b4625818ad980223e511f02f2ecf85aa04f5/emage_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2287","type":"fairsharing_records","attributes":{"created_at":"2016-04-20T19:58:57.000Z","updated_at":"2023-12-15T10:33:15.797Z","metadata":{"doi":"10.25504/FAIRsharing.9qkaz9","name":"Online Mendelian Inheritance in Man","status":"ready","contacts":[],"homepage":"https://omim.org/","citations":[],"identifier":2287,"description":"Online Mendelian Inheritance in Man (OMIM) is a comprehensive, authoritative compendium of human genes and genetic phenotypes that is freely available and updated daily. The full-text, referenced overviews in OMIM contain information on all known mendelian disorders and over 15,000 genes. OMIM focuses on the relationship between phenotype and genotype.","abbreviation":"OMIM","data_curation":{"url":"https://www.omim.org/help/faq","type":"manual/automated","notes":"see also: https://blog.goldenhelix.com/curating-omim/"},"support_links":[{"url":"https://omim.org/contact","name":"Contact Form","type":"Contact form"},{"url":"https://omim.org/help/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://omim.org/help/search","name":"Search Help","type":"Help documentation"},{"url":"https://omim.org/help/linking","name":"Linking Help","type":"Help documentation"},{"url":"https://omim.org/help/api","name":"API Documentation","type":"Help documentation"}],"year_creation":1966,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010416","name":"re3data:r3d100010416","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006437","name":"SciCrunch:RRID:SCR_006437","portal":"SciCrunch"}],"data_access_condition":{"url":"https://omim.org/about","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000761","bsg-d000761"],"name":"FAIRsharing record for: Online Mendelian Inheritance in Man","abbreviation":"OMIM","url":"https://fairsharing.org/10.25504/FAIRsharing.9qkaz9","doi":"10.25504/FAIRsharing.9qkaz9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Online Mendelian Inheritance in Man (OMIM) is a comprehensive, authoritative compendium of human genes and genetic phenotypes that is freely available and updated daily. The full-text, referenced overviews in OMIM contain information on all known mendelian disorders and over 15,000 genes. OMIM focuses on the relationship between phenotype and genotype.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12254}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Human Genetics"],"domains":["Phenotype","Disease","Gene","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2244,"pubmed_id":30445645,"title":"OMIM.org: leveraging knowledge across phenotype-gene relationships.","year":2018,"url":"http://doi.org/10.1093/nar/gky1151","authors":"Amberger JS,Bocchini CA,Scott AF,Hamosh A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1151","created_at":"2021-09-30T08:26:32.988Z","updated_at":"2021-09-30T11:29:31.478Z"},{"id":3870,"pubmed_id":null,"title":"(2021). Online Mendelian inheritance in man (OMIM®): victor McKusick's magnum opus. , 185(11), 3259-3265.","year":2021,"url":"https://onlinelibrary.wiley.com/doi/full/10.1002/ajmg.a.62407","authors":"Hamosh, A., Amberger, J. S., Bocchini, C., Scott, A. F., \u0026 Rasmussen, S. A.","journal":"American Journal of Medical Genetics Part A","doi":"","created_at":"2023-05-22T10:23:01.780Z","updated_at":"2023-05-22T10:23:01.780Z"},{"id":3871,"pubmed_id":null,"title":"Searching online mendelian inheritance in man (OMIM): a knowledgebase of human genes and genetic phenotypes.","year":2017,"url":"https://currentprotocols.onlinelibrary.wiley.com/doi/full/10.1002/cpbi.27","authors":"Amberger, J. S., \u0026 Hamosh, A.","journal":"Current protocols in bioinformatics, 58(1), 1-2.","doi":"","created_at":"2023-05-22T10:36:02.854Z","updated_at":"2023-05-22T10:36:02.854Z"}],"licence_links":[{"licence_name":"OMIM Copyright","licence_id":617,"licence_url":"https://omim.org/help/copyright","link_id":734,"relation":"undefined"}],"grants":[{"id":2222,"fairsharing_record_id":2287,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:36.317Z","updated_at":"2021-09-30T09:29:16.661Z","grant_id":172,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NHGRI 1U41HG006627","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2221,"fairsharing_record_id":2287,"organisation_id":1804,"relation":"maintains","created_at":"2021-09-30T09:25:36.283Z","updated_at":"2021-09-30T09:25:36.283Z","grant_id":null,"is_lead":true,"saved_state":{"id":1804,"name":"McKusick-Nathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2388","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T09:08:42.000Z","updated_at":"2024-05-02T07:22:46.129Z","metadata":{"doi":"10.25504/FAIRsharing.nn9r0d","name":"IDSM","status":"ready","contacts":[{"contact_name":"Jakub Galgonek","contact_email":"jakub.galgonek@uochb.cas.cz","contact_orcid":null}],"homepage":"https://idsm.elixir-czech.cz/","citations":[],"identifier":2388,"description":"IDSM is an integrated database of small molecules.","abbreviation":"IDSM","data_curation":{"url":"https://elixir-europe.org/platforms/data","type":"manual/automated"},"support_links":[{"url":"https://idsm.elixir-czech.cz/sparql/doc/manual.html","name":"User Manual","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000869","bsg-d000869"],"name":"FAIRsharing record for: IDSM","abbreviation":"IDSM","url":"https://fairsharing.org/10.25504/FAIRsharing.nn9r0d","doi":"10.25504/FAIRsharing.nn9r0d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IDSM is an integrated database of small molecules.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11396},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12184}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Small molecule"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":4237,"pubmed_id":29797000,"title":"Sachem: a chemical cartridge for high-performance substructure search","year":2018,"url":"http://dx.doi.org/10.1186/s13321-018-0282-y","authors":"Kratochvíl, Miroslav; Vondrášek, Jiří; Galgonek, Jakub; ","journal":"J Cheminform","doi":"10.1186/s13321-018-0282-y","created_at":"2024-04-05T07:58:03.513Z","updated_at":"2024-04-05T07:58:03.513Z"},{"id":4238,"pubmed_id":31254167,"title":"Interoperable chemical structure search service","year":2019,"url":"http://dx.doi.org/10.1186/s13321-019-0367-2","authors":"Kratochvíl, Miroslav; Vondrášek, Jiří; Galgonek, Jakub; ","journal":"J Cheminform","doi":"10.1186/s13321-019-0367-2","created_at":"2024-04-05T08:00:39.285Z","updated_at":"2024-04-05T08:00:39.285Z"},{"id":4239,"pubmed_id":33980298,"title":"IDSM ChemWebRDF: SPARQLing small-molecule datasets","year":2021,"url":"http://dx.doi.org/10.1186/s13321-021-00515-1","authors":"Galgonek, Jakub; Vondrášek, Jiří; ","journal":"J Cheminform","doi":"10.1186/s13321-021-00515-1","created_at":"2024-04-05T08:01:44.722Z","updated_at":"2024-04-05T08:01:44.722Z"}],"licence_links":[],"grants":[{"id":11692,"fairsharing_record_id":2388,"organisation_id":1434,"relation":"maintains","created_at":"2024-04-05T07:54:36.912Z","updated_at":"2024-04-05T08:07:10.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":1434,"name":"Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences (IOCB), Prague, Czech Republic","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11693,"fairsharing_record_id":2388,"organisation_id":840,"relation":"maintains","created_at":"2024-04-05T08:07:10.857Z","updated_at":"2024-04-05T08:07:10.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2389","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T10:49:36.000Z","updated_at":"2023-12-15T10:32:51.212Z","metadata":{"doi":"10.25504/FAIRsharing.c7w81a","name":"LiceBase","status":"ready","contacts":[{"contact_name":"Inge Jonassen","contact_email":"Inge.Jonassen@uib.no","contact_orcid":"0000-0003-4110-0748"},{"contact_name":"Michael Dondrup","contact_email":"admin@licebase.org","contact_orcid":"0000-0002-2371-5928"}],"homepage":"https://licebase.org/","citations":[],"identifier":2389,"description":"LiceBase is a genomics database for sea lice (Lepeophtheirus salmonis and Caligus spp.), which are major pathogens affecting the global salmon farming industry. The database is designed to help researchers, industry professionals, and other interested parties access and share information about these parasites, with the goal of developing new treatment methods and tools to ensure a sustainable salmon farming industry. LiceBase provides genome annotation reports, genome browsing, RNA interference (RNAi) experiment browsing, BLAST search, and in-situ images. The database homepage posts news updates and recent publications related to sea lice and salmonid species.","abbreviation":null,"data_curation":{"type":"none"},"support_links":[{"url":"https://licebase.org/?q=node/760957","type":"Frequently Asked Questions (FAQs)"},{"url":"https://licebase.org/privacy_policy","name":"Privacy policy","type":"Other"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013547","name":"re3data:r3d100013547","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000870","bsg-d000870"],"name":"FAIRsharing record for: LiceBase","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.c7w81a","doi":"10.25504/FAIRsharing.c7w81a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LiceBase is a genomics database for sea lice (Lepeophtheirus salmonis and Caligus spp.), which are major pathogens affecting the global salmon farming industry. The database is designed to help researchers, industry professionals, and other interested parties access and share information about these parasites, with the goal of developing new treatment methods and tools to ensure a sustainable salmon farming industry. LiceBase provides genome annotation reports, genome browsing, RNA interference (RNAi) experiment browsing, BLAST search, and in-situ images. The database homepage posts news updates and recent publications related to sea lice and salmonid species.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11397},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12185}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Fisheries Science","Marine Biology","Aquaculture","Parasitology"],"domains":["Genome annotation","Marine environment","Imaging","Gene expression","RNA interference","Parasite","RNA sequencing","Genome"],"taxonomies":["Anopheles gambiae","Drosophila melanogaster","Gadus morhua","Lepeophtheirus salmonis"],"user_defined_tags":["tigriopus kingsejongensis","calanus sinicus","caligus spp.","copepod"],"countries":["Norway"],"publications":[{"id":3968,"pubmed_id":null,"title":"The salmon louse genome: Copepod features and parasitic adaptations","year":2021,"url":"http://dx.doi.org/10.1016/j.ygeno.2021.08.002","authors":"Skern-Mauritzen, Rasmus; Malde, Ketil; Eichner, Christiane; Dondrup, Michael; Furmanek, Tomasz; Besnier, Francois; Komisarczuk, Anna Zofia; Nuhn, Michael; Dalvin, Sussie; Edvardsen, Rolf B.; Klages, Sven; Huettel, Bruno; Stueber, Kurt; Grotmol, Sindre; Karlsbakk, Egil; Kersey, Paul; Leong, Jong S.; Glover, Kevin A.; Reinhardt, Richard; Lien, Sigbjørn; Jonassen, Inge; Koop, Ben F.; Nilsen, Frank; ","journal":"Genomics","doi":"10.1016/j.ygeno.2021.08.002","created_at":"2023-08-04T11:10:19.846Z","updated_at":"2023-08-04T11:10:19.846Z"}],"licence_links":[{"licence_name":"Phibase Data Policies and Disclaimer","licence_id":662,"licence_url":"http://www.phi-base.org/disclaimer.htm","link_id":564,"relation":"undefined"}],"grants":[{"id":2446,"fairsharing_record_id":2389,"organisation_id":2535,"relation":"maintains","created_at":"2021-09-30T09:25:44.119Z","updated_at":"2023-08-04T12:07:08.705Z","grant_id":null,"is_lead":true,"saved_state":{"id":2535,"name":"Sea Lice Research Centre, Bergen, Norway","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10802,"fairsharing_record_id":2389,"organisation_id":846,"relation":"collaborates_on","created_at":"2023-08-04T12:07:08.406Z","updated_at":"2023-08-04T12:07:08.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":10803,"fairsharing_record_id":2389,"organisation_id":2823,"relation":"funds","created_at":"2023-08-04T12:07:08.443Z","updated_at":"2023-08-04T12:07:08.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10805,"fairsharing_record_id":2389,"organisation_id":1421,"relation":"funds","created_at":"2023-08-04T12:07:08.479Z","updated_at":"2023-08-04T12:07:08.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":1421,"name":"Institute Of Marine Research, Bergen, Norway","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":10806,"fairsharing_record_id":2389,"organisation_id":2192,"relation":"funds","created_at":"2023-08-04T12:07:08.516Z","updated_at":"2023-08-04T12:07:08.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":2192,"name":"Norwegian University of Life Sciences","types":["University"],"is_lead":false,"relation":"funds"}},{"id":10807,"fairsharing_record_id":2389,"organisation_id":4076,"relation":"funds","created_at":"2023-08-04T12:07:08.555Z","updated_at":"2023-08-04T12:07:08.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":4076,"name":"Elanco (United States)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10808,"fairsharing_record_id":2389,"organisation_id":4077,"relation":"funds","created_at":"2023-08-04T12:07:08.595Z","updated_at":"2023-08-04T12:07:08.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":4077,"name":"Ewos Innovation (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10809,"fairsharing_record_id":2389,"organisation_id":4079,"relation":"funds","created_at":"2023-08-04T12:07:08.632Z","updated_at":"2023-08-04T12:07:08.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":4079,"name":"Mowi (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10810,"fairsharing_record_id":2389,"organisation_id":4080,"relation":"funds","created_at":"2023-08-04T12:07:08.669Z","updated_at":"2023-08-04T12:07:08.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":4080,"name":"Lerøy (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10811,"fairsharing_record_id":2389,"organisation_id":4078,"relation":"funds","created_at":"2023-08-04T12:07:08.683Z","updated_at":"2023-08-04T12:07:08.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":4078,"name":"PatoGen (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10868,"fairsharing_record_id":2389,"organisation_id":2995,"relation":"funds","created_at":"2023-09-18T14:14:33.778Z","updated_at":"2023-09-18T14:14:33.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":2995,"name":"Universitetet i Bergen, Bergen, Norway","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGdDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--74f6d31db002f40d948d76fbd6054eb8e566e96b/slrc.png?disposition=inline","exhaustive_licences":false}},{"id":"2390","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T11:46:55.000Z","updated_at":"2023-12-15T10:33:04.294Z","metadata":{"doi":"10.25504/FAIRsharing.3t5qc3","name":"Microbial Genome Annotation \u0026 Analysis Platform","status":"ready","contacts":[{"contact_name":"Claudine Médigue","contact_email":"cmedigue@genoscope.cns.fr"}],"homepage":"http://www.genoscope.cns.fr/agc/microscope/home/","citations":[],"identifier":2390,"description":"MicroScope is a web-based platform for microbial comparative genome analysis and manual functional annotation. Its relational database schema stores precalculated results of syntactic and functional annotation pipelines as well as Pathway Tools and metabolic analysis specific to each genome.","abbreviation":"MicroScope","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genoscope.cns.fr/agc/microscope/about/contact.php?\u0026wwwpkgdb=8ec24c15145b8f4e86bd2473d359a5f3","type":"Contact form"},{"url":"https://microscope.readthedocs.io/en/latest/","type":"Help documentation"},{"url":"https://www.genoscope.cns.fr/agc/website/spip.php?page=forma_dates\u0026lang=en","type":"Training documentation"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://www.genoscope.cns.fr/agc/microscope/search/blast.php?","name":"blast"},{"url":"http://www.genoscope.cns.fr/agc/microscope/genomic/cgview.php?part=all","name":"Circular Genome Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012928","name":"re3data:r3d100012928","portal":"re3data"}],"data_access_condition":{"url":"https://mage.genoscope.cns.fr/microscope/search/keywords.php?\u0026wwwpkgdb=0eb8133d3f9276236454c607f7ee7492","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://mage.genoscope.cns.fr/microscope/about/services.php?","type":"controlled","notes":"According to the specifications concerning each project."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000871","bsg-d000871"],"name":"FAIRsharing record for: Microbial Genome Annotation \u0026 Analysis Platform","abbreviation":"MicroScope","url":"https://fairsharing.org/10.25504/FAIRsharing.3t5qc3","doi":"10.25504/FAIRsharing.3t5qc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MicroScope is a web-based platform for microbial comparative genome analysis and manual functional annotation. Its relational database schema stores precalculated results of syntactic and functional annotation pipelines as well as Pathway Tools and metabolic analysis specific to each genome.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11398},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12186},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12770}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science","Comparative Genomics"],"domains":["Annotation","Genome annotation","Gene functional annotation","Molecular interaction"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2033,"pubmed_id":23193269,"title":"MicroScope--an integrated microbial resource for the curation and comparative analysis of genomic and metabolic data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1194","authors":"Vallenet D,Belda E,Calteau A,Cruveiller S,Engelen S,Lajus A,Le Fevre F,Longin C,Mornico D,Roche D,Rouy Z,Salvignol G,Scarpelli C,Thil Smith AA,Weiman M,Medigue C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1194","created_at":"2021-09-30T08:26:08.954Z","updated_at":"2021-09-30T11:29:26.596Z"}],"licence_links":[],"grants":[{"id":2448,"fairsharing_record_id":2390,"organisation_id":1349,"relation":"funds","created_at":"2021-09-30T09:25:44.198Z","updated_at":"2021-09-30T09:25:44.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1349,"name":"Infrastructures en Biologie Sante et Agronomie (GIS IBiSA), France","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2450,"fairsharing_record_id":2390,"organisation_id":1059,"relation":"funds","created_at":"2021-09-30T09:25:44.254Z","updated_at":"2021-09-30T09:30:33.707Z","grant_id":765,"is_lead":false,"saved_state":{"id":1059,"name":"French Ministry of Education, Research and Innovation, France","grant":"ANR PFTV 2007","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2449,"fairsharing_record_id":2390,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:44.230Z","updated_at":"2021-09-30T09:30:42.431Z","grant_id":831,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"222886-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2447,"fairsharing_record_id":2390,"organisation_id":1662,"relation":"maintains","created_at":"2021-09-30T09:25:44.160Z","updated_at":"2021-09-30T09:25:44.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1662,"name":"Laboratoire d'Analyses Bioinformatiques pour la Genomique et le Metabolisme (LABGeM), Evry, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2392","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T14:21:32.000Z","updated_at":"2023-12-15T10:30:39.880Z","metadata":{"doi":"10.25504/FAIRsharing.1z88ee","name":"BCCM/ULC Cyanobacteria Collection","status":"ready","contacts":[{"contact_name":"BCCM/ULC","contact_email":"BCCM.ULC@ulg.ac.be"}],"homepage":"http://bccm.belspo.be/about-us/bccm-ulc","identifier":2392,"description":"BCCM/ULC is a small and dedicated public collection, currently containing one of the largest collections of documented (sub)polar cyanobacteria worldwide. The BCCM/ULC collection is hosted by the Centre for Protein Engineering (the Unit) of the University of Liège. The host Unit is very active in research projects concerning the cyanobacterial diversity and biogeography, with a focus on polar biotopes. The approach used is polyphasic, including the isolation of strains and culture-independent methods (DGGE, clone libraries, pyrosequencing based on the ribosomal operon sequences). The participation to field expeditions in the Antarctic and Arctic has enabled to collect samples in many locations. Moreover, taxonomic research is carried out by the host Unit to improve the classification of the cyanobacterial phylum. It is based on a polyphasic approach combining the morphological and molecular characterizations of the strains.","abbreviation":"BCCM/ULC","data_curation":{"type":"manual"},"support_links":[{"url":"http://bccm.belspo.be/news","name":"News","type":"Blog/News"},{"url":"http://bccm.belspo.be/webform/contact-us","type":"Contact form"},{"url":"http://bccm.belspo.be/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://bccm.belspo.be/webform/subscribe-bccm-newsletter","name":"Newsletter","type":"Help documentation"},{"url":"http://bccm.belspo.be/didyouknow","name":"Videos","type":"Help documentation"},{"url":"http://bccm.belspo.be/labinstructions","name":"Lab instruction videos","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013779","name":"re3data:r3d100013779","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000873","bsg-d000873"],"name":"FAIRsharing record for: BCCM/ULC Cyanobacteria Collection","abbreviation":"BCCM/ULC","url":"https://fairsharing.org/10.25504/FAIRsharing.1z88ee","doi":"10.25504/FAIRsharing.1z88ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BCCM/ULC is a small and dedicated public collection, currently containing one of the largest collections of documented (sub)polar cyanobacteria worldwide. The BCCM/ULC collection is hosted by the Centre for Protein Engineering (the Unit) of the University of Liège. The host Unit is very active in research projects concerning the cyanobacterial diversity and biogeography, with a focus on polar biotopes. The approach used is polyphasic, including the isolation of strains and culture-independent methods (DGGE, clone libraries, pyrosequencing based on the ribosomal operon sequences). The participation to field expeditions in the Antarctic and Arctic has enabled to collect samples in many locations. Moreover, taxonomic research is carried out by the host Unit to improve the classification of the cyanobacterial phylum. It is based on a polyphasic approach combining the morphological and molecular characterizations of the strains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Classification","Morphology","16S rRNA"],"taxonomies":["Chroococcales","Cyanobacteria","Nostocales","Oscillatoriales"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1060,"pubmed_id":null,"title":"Plectolyngbya hodgsonii: a novel filamentous cyanobacterium from Antarctic lakes","year":2011,"url":"https://link.springer.com/article/10.1007/s00300-010-0868-y","authors":"Taton, A, Wilmotte, A, Smarda, J, Elster, J, \u0026 Komarek, J.","journal":"Polar Biology","doi":null,"created_at":"2021-09-30T08:24:17.389Z","updated_at":"2021-09-30T11:28:31.612Z"},{"id":1061,"pubmed_id":null,"title":"The limnology and biology of the Dufek Massif, Transantarctic Mountains 82° South","year":2010,"url":"https://doi.org/10.1016/j.polar.2010.04.003","authors":"Hodgson, D. A, Convey, P, Verleyen, E, Vyverman, W, McInnes, S. J, Sands, C. J, Fernandez, R, Wilmotte, A, De Wever, A, Peeters, K, \u0026 Willems, A","journal":"Polar Science","doi":null,"created_at":"2021-09-30T08:24:17.489Z","updated_at":"2021-09-30T11:28:31.717Z"},{"id":2036,"pubmed_id":21592144,"title":"Low cyanobacterial diversity in biotopes of the Transantarctic Mountains and Shackleton Range (80-82 degrees S), Antarctica.","year":2011,"url":"http://doi.org/10.1111/j.1574-6941.2011.01132.x","authors":"Fernandez-Carazo R,Hodgson DA,Convey P,Wilmotte A","journal":"FEMS Microbiol Ecol","doi":"10.1111/j.1574-6941.2011.01132.x","created_at":"2021-09-30T08:26:09.256Z","updated_at":"2021-09-30T08:26:09.256Z"},{"id":2059,"pubmed_id":null,"title":"Late Holocene changes in cyanobacterial community structure in maritime Antarctic lakes","year":2013,"url":"https://link.springer.com/article/10.1007/s10933-013-9700-3","authors":"Fernandez-Carazo, R, Verleyen, E, Hodgson, D. A, Roberts, S. J, Waleron, K, Vyverman, W, \u0026 Wilmotte, A","journal":"Journal of Paleolimnology","doi":null,"created_at":"2021-09-30T08:26:12.032Z","updated_at":"2021-09-30T11:28:34.063Z"},{"id":2060,"pubmed_id":null,"title":"Cyanobacterial diversity for an anthropogenic impact assessment in the Sor Rondane Mountains area, Antarctica","year":2012,"url":"https://www.cambridge.org/core/journals/antarctic-science/article/abs/cyanobacterial-diversity-for-an-anthropogenic-impact-assessment-in-the-sor-rondane-mountains-area-antarctica/FBBAD63E961078C7251C30766F73ABAF","authors":"Fernandez-Carazo, R, Namsaraev, Z, Mano, M.-J, Ertz, D, \u0026 Wilmotte, A.","journal":"Antarctic Science","doi":null,"created_at":"2021-09-30T08:26:12.132Z","updated_at":"2021-09-30T11:28:34.163Z"},{"id":2670,"pubmed_id":null,"title":"Evidence for widespread endemism among Antarctic micro-organisms","year":2010,"url":"https://doi.org/10.1016/j.polar.2010.03.006","authors":"Vyverman, W, Verleyen, E, Wilmotte, A, Hodgson, D. A, Willems, A, Peeters, K, Van De Vijver, B, De Wever, A, Leliaert, F, \u0026 Sabbe, K","journal":"Polar Science","doi":null,"created_at":"2021-09-30T08:27:27.845Z","updated_at":"2021-09-30T11:28:37.129Z"},{"id":2671,"pubmed_id":null,"title":"Biogeography of terrestrial cyanobacteria from Antarctic ice-free areas","year":2010,"url":"https://doi.org/10.3189/172756411795931930","authors":"Namsaraev, Z, Mano, M.-J, Fernandez Carazo, R, \u0026 Wilmotte, A","journal":"Annals of Glaciology","doi":null,"created_at":"2021-09-30T08:27:27.954Z","updated_at":"2021-09-30T11:28:37.278Z"},{"id":2674,"pubmed_id":null,"title":"Structuring effects of climate-related environmental factors on Antarctic microbial mat communities","year":2010,"url":"http://hdl.handle.net/2268/33815","authors":"Verleyen, E, Sabbe, K, Hodgson, D. A, Grubisic, S, Taton, A, Cousin, S, Wilmotte, A, De Wever, A, Van Der Gucht, K, \u0026 Vyverman, W","journal":"Aquatic Microbial Ecology","doi":null,"created_at":"2021-09-30T08:27:28.320Z","updated_at":"2021-09-30T11:28:37.378Z"}],"licence_links":[{"licence_name":"BCCM Material Transfer Agreement (MTA) 1.4","licence_id":62,"licence_url":"http://bccm.belspo.be/services/mta","link_id":898,"relation":"undefined"},{"licence_name":"BCCM website legal notice","licence_id":63,"licence_url":"http://bccm.belspo.be/legal/disclaimer","link_id":864,"relation":"undefined"}],"grants":[{"id":2455,"fairsharing_record_id":2392,"organisation_id":3081,"relation":"funds","created_at":"2021-09-30T09:25:44.424Z","updated_at":"2021-09-30T09:25:44.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":3081,"name":"University of Liege, Belgium","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2454,"fairsharing_record_id":2392,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:44.396Z","updated_at":"2021-09-30T09:25:44.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2456,"fairsharing_record_id":2392,"organisation_id":467,"relation":"maintains","created_at":"2021-09-30T09:25:44.460Z","updated_at":"2021-09-30T09:25:44.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":467,"name":"Centre for Protein Engineering (CIP), University of Liege, Liege, Belgium","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2382","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T10:55:28.000Z","updated_at":"2023-06-22T17:51:30.815Z","metadata":{"doi":"10.25504/FAIRsharing.dq34p2","name":"Continuously Automated Model Evaluation","status":"ready","contacts":[{"contact_name":"Torsten Schwede","contact_email":"torsten.schwede@unibas.ch","contact_orcid":"0000-0003-2715-335X"}],"homepage":"http://cameo3d.org/","citations":[],"identifier":2382,"description":"Continuous automated benchmarking of computational protein structure prediction methods (and model quality estimation techniques). CAMEO assessment is based on blind predictions for weekly pre-released targets from PDB. Benchmarking results are made available as reference data for methods development.","abbreviation":"CAMEO","data_curation":{"url":"https://onlinelibrary.wiley.com/doi/10.1002/prot.26213","type":"automated","notes":"Automatic predictions for protein-protein complexes, for proteins in complex with ligands, peptides, nucleic acids, and proteins containing non-canonical amino acid residues"},"support_links":[{"url":"http://cameo3d.org/cameong_faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cameo3d.org/cameong_help/","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://cameo3d.org/cameong_registration/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000862","bsg-d000862"],"name":"FAIRsharing record for: Continuously Automated Model Evaluation","abbreviation":"CAMEO","url":"https://fairsharing.org/10.25504/FAIRsharing.dq34p2","doi":"10.25504/FAIRsharing.dq34p2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Continuous automated benchmarking of computational protein structure prediction methods (and model quality estimation techniques). CAMEO assessment is based on blind predictions for weekly pre-released targets from PDB. Benchmarking results are made available as reference data for methods development.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11391},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12179},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12767}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Mathematical model","Protein structure","Experimental measurement","Computational biological predictions","Benchmarking","Crowdsourcing","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1369,"pubmed_id":23624946,"title":"The Protein Model Portal--a comprehensive resource for protein structure and model information.","year":2013,"url":"http://doi.org/10.1093/database/bat031","authors":"Haas J,Roth S,Arnold K,Kiefer F,Schmidt T,Bordoli L,Schwede T","journal":"Database (Oxford)","doi":"10.1093/database/bat031","created_at":"2021-09-30T08:24:53.093Z","updated_at":"2021-09-30T08:24:53.093Z"}],"licence_links":[{"licence_name":"CAMEO Terms and Conditions of Use","licence_id":95,"licence_url":"http://cameo3d.org/cameong_terms/","link_id":154,"relation":"undefined"}],"grants":[{"id":2425,"fairsharing_record_id":2382,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:43.393Z","updated_at":"2021-09-30T09:32:08.746Z","grant_id":1489,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U01 GM093324-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2424,"fairsharing_record_id":2382,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:43.363Z","updated_at":"2021-09-30T09:25:43.363Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2426,"fairsharing_record_id":2382,"organisation_id":284,"relation":"maintains","created_at":"2021-09-30T09:25:43.421Z","updated_at":"2021-09-30T09:25:43.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":284,"name":"Biozentrum, University of Basel, Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2383","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T11:22:52.000Z","updated_at":"2023-12-15T10:31:18.926Z","metadata":{"doi":"10.25504/FAIRsharing.t1a232","name":"Sequencing Initiative Suomi","status":"ready","contacts":[{"contact_name":"Hannele Laivuori","contact_email":"hannele.laivuori@helsinki.fi","contact_orcid":"0000-0003-3212-7826"}],"homepage":"http://www.sisuproject.fi/","identifier":2383,"description":"The Sequencing Initiative Suomi (SISu) search engine offers a way to search for data on sequence variants in the Finnish population. It provides valuable summary data for researchers and clinicians as well as other researchers with an interest in genetics in Finland. With SISu, you can examine the attributes and appearance of different variants in Finnish cohorts and see their aggregate distribution in Finland visualized on a map. The SISu project is an international collaboration between multiple research groups aiming to build tools for genomic medicine.","abbreviation":"SISu","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.sisuproject.fi/contact","type":"Contact form"},{"url":"http://www.sisuproject.fi/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.sisuproject.fi/how-to-use","type":"Help documentation"},{"url":"http://www.sisuproject.fi/about","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000863","bsg-d000863"],"name":"FAIRsharing record for: Sequencing Initiative Suomi","abbreviation":"SISu","url":"https://fairsharing.org/10.25504/FAIRsharing.t1a232","doi":"10.25504/FAIRsharing.t1a232","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sequencing Initiative Suomi (SISu) search engine offers a way to search for data on sequence variants in the Finnish population. It provides valuable summary data for researchers and clinicians as well as other researchers with an interest in genetics in Finland. With SISu, you can examine the attributes and appearance of different variants in Finnish cohorts and see their aggregate distribution in Finland visualized on a map. The SISu project is an international collaboration between multiple research groups aiming to build tools for genomic medicine.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11392},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12180},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12768}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genomics","Biomedical Science","Epidemiology","Preclinical Studies"],"domains":["Genetic polymorphism","Sequencing","Disease","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":2011,"pubmed_id":26030606,"title":"Targeted resequencing of the pericentromere of chromosome 2 linked to constitutional delay of growth and puberty.","year":2015,"url":"http://doi.org/10.1371/journal.pone.0128524","authors":"Cousminer DL,Leinonen JT,Sarin AP,Chheda H,Surakka I,Wehkalampi K,Ellonen P,Ripatti S,Dunkel L,Palotie A,Widen E","journal":"PLoS One","doi":"10.1371/journal.pone.0128524","created_at":"2021-09-30T08:26:06.574Z","updated_at":"2021-09-30T08:26:06.574Z"},{"id":2029,"pubmed_id":25078778,"title":"Distribution and medical impact of loss-of-function variants in the Finnish founder population.","year":2014,"url":"http://doi.org/10.1371/journal.pgen.1004494","authors":"Lim ET,Wurtz P,Havulinna AS,Palta P,Tukiainen T,Rehnstrom K,Esko T,Magi R,Inouye M,Lappalainen T,Chan Y,Salem RM,Lek M,Flannick J,Sim X,Manning A,Ladenvall C,Bumpstead S,Hamalainen E,Aalto K,Maksimow M,Salmi M,Blankenberg S,Ardissino D,Shah S,Horne B,McPherson R,Hovingh GK,Reilly MP,Watkins H,Goel A,Farrall M,Girelli D,Reiner AP,Stitziel NO,Kathiresan S,Gabriel S,Barrett JC,Lehtimaki T,Laakso M,Groop L,Kaprio J,Perola M,McCarthy MI,Boehnke M,Altshuler DM,Lindgren CM,Hirschhorn JN,Metspalu A,Freimer NB,Zeller T,Jalkanen S,Koskinen S,Raitakari O,Durbin R,MacArthur DG,Salomaa V,Ripatti S,Daly MJ,Palotie A","journal":"PLoS Genet","doi":"10.1371/journal.pgen.1004494","created_at":"2021-09-30T08:26:08.490Z","updated_at":"2021-09-30T08:26:08.490Z"}],"licence_links":[],"grants":[{"id":2427,"fairsharing_record_id":2383,"organisation_id":1016,"relation":"funds","created_at":"2021-09-30T09:25:43.445Z","updated_at":"2021-09-30T09:25:43.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1016,"name":"Finska lakaresellskapet, Helsinki, Finland","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2430,"fairsharing_record_id":2383,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:43.568Z","updated_at":"2021-09-30T09:29:25.826Z","grant_id":246,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"201413","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2432,"fairsharing_record_id":2383,"organisation_id":17,"relation":"funds","created_at":"2021-09-30T09:25:43.643Z","updated_at":"2021-09-30T09:30:48.790Z","grant_id":882,"is_lead":false,"saved_state":{"id":17,"name":"Academy of Finland, Helsinki, Finland","grant":"267561","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2431,"fairsharing_record_id":2383,"organisation_id":3064,"relation":"maintains","created_at":"2021-09-30T09:25:43.606Z","updated_at":"2021-09-30T09:25:43.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":3064,"name":"University of Helsinki, Finland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2428,"fairsharing_record_id":2383,"organisation_id":778,"relation":"funds","created_at":"2021-09-30T09:25:43.476Z","updated_at":"2021-09-30T09:30:38.439Z","grant_id":802,"is_lead":false,"saved_state":{"id":778,"name":"Doctoral Programme in Biomedicine, University of Helsinki, Helsinki, Finland","grant":"Personal grant","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2429,"fairsharing_record_id":2383,"organisation_id":1226,"relation":"funds","created_at":"2021-09-30T09:25:43.527Z","updated_at":"2021-09-30T09:31:17.508Z","grant_id":1104,"is_lead":false,"saved_state":{"id":1226,"name":"Healthy People 2010 program, Centers for Disease Control and Prevention, Atlanta, GA, USA","grant":"261433","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8381,"fairsharing_record_id":2383,"organisation_id":1226,"relation":"funds","created_at":"2021-09-30T09:32:22.601Z","updated_at":"2021-09-30T09:32:22.654Z","grant_id":1591,"is_lead":false,"saved_state":{"id":1226,"name":"Healthy People 2010 program, Centers for Disease Control and Prevention, Atlanta, GA, USA","grant":"261123","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8410,"fairsharing_record_id":2383,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:32:31.293Z","updated_at":"2021-09-30T09:32:31.337Z","grant_id":1658,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"242167","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2384","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T11:49:42.000Z","updated_at":"2023-01-03T15:58:06.908Z","metadata":{"doi":"10.25504/FAIRsharing.7sfedh","name":"CRISPRdb","status":"deprecated","contacts":[{"contact_name":"Christine Pourcel","contact_email":"Christine.Pourcel@u-psud.fr","contact_orcid":"0000-0002-8951-466X"}],"homepage":"http://crispr.i2bc.paris-saclay.fr/","citations":[],"identifier":2384,"description":"CRISPRdb acts as a gateway to a publicly accessible database and software. It enables the easy detection of CRISPR sequences in locally-produced data and the consultation of CRISPR sequence data present in the database. It also gives information on the presence of CRISPR-associated (cas) genes when they have been annotated as such.","abbreviation":"CRISPRdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://crispr.i2bc.paris-saclay.fr/index.php?page=FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://crispr.i2bc.paris-saclay.fr/crispr/HelpTopics/help_CRISPRdatabase.html","type":"Help documentation"},{"url":"http://crispr.i2bc.paris-saclay.fr/crispr/HelpTopics/examples_CRISPRdatabase.html","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://crispr.i2bc.paris-saclay.fr/crispr/BLAST/CRISPRsBlast.php","name":"blast"},{"url":"http://crispr.i2bc.paris-saclay.fr/CRISPRcompar/","name":"CRISPRcompar"},{"url":"http://crispr.i2bc.paris-saclay.fr/Server/","name":"CRISPRfinder"}],"deprecation_date":"2020-09-10","deprecation_reason":"Deprecated after correspondence with Christine Pourcel (maintainer)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000864","bsg-d000864"],"name":"FAIRsharing record for: CRISPRdb","abbreviation":"CRISPRdb","url":"https://fairsharing.org/10.25504/FAIRsharing.7sfedh","doi":"10.25504/FAIRsharing.7sfedh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CRISPRdb acts as a gateway to a publicly accessible database and software. It enables the easy detection of CRISPR sequences in locally-produced data and the consultation of CRISPR sequence data present in the database. It also gives information on the presence of CRISPR-associated (cas) genes when they have been annotated as such.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12181}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Sequence","CRISPR"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2040,"pubmed_id":17521438,"title":"The CRISPRdb database and tools to display CRISPRs and to generate dictionaries of spacers and repeats.","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-172","authors":"Grissa I,Vergnaud G,Pourcel C","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-172","created_at":"2021-09-30T08:26:09.757Z","updated_at":"2021-09-30T08:26:09.757Z"},{"id":2044,"pubmed_id":17537822,"title":"CRISPRFinder: a web tool to identify clustered regularly interspaced short palindromic repeats.","year":2007,"url":"http://doi.org/10.1093/nar/gkm360","authors":"Grissa I,Vergnaud G,Pourcel C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm360","created_at":"2021-09-30T08:26:10.297Z","updated_at":"2021-09-30T11:29:27.245Z"},{"id":2045,"pubmed_id":18442988,"title":"CRISPRcompar: a website to compare clustered regularly interspaced short palindromic repeats.","year":2008,"url":"http://doi.org/10.1093/nar/gkn228","authors":"Grissa I,Vergnaud G,Pourcel C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn228","created_at":"2021-09-30T08:26:10.396Z","updated_at":"2021-09-30T11:29:27.335Z"}],"licence_links":[],"grants":[{"id":2436,"fairsharing_record_id":2384,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:43.762Z","updated_at":"2021-09-30T09:30:09.780Z","grant_id":579,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-14-ASMA-0002-02 MicroType","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2433,"fairsharing_record_id":2384,"organisation_id":2709,"relation":"funds","created_at":"2021-09-30T09:25:43.672Z","updated_at":"2021-09-30T09:31:13.785Z","grant_id":1075,"is_lead":false,"saved_state":{"id":2709,"name":"TBChina EU project","grant":"Project no.012166","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9206,"fairsharing_record_id":2384,"organisation_id":1974,"relation":"funds","created_at":"2022-04-11T12:07:22.090Z","updated_at":"2022-04-11T12:07:22.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2385","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T13:44:50.000Z","updated_at":"2024-03-20T13:12:30.248Z","metadata":{"doi":"10.25504/FAIRsharing.m58329","name":"Database Of Local Biomolecular Conformers","status":"deprecated","contacts":[{"contact_name":"Petr Čech","contact_email":"petr.cech@vscht.cz"}],"homepage":"http://dolbico.org/","citations":[],"identifier":2385,"description":"Dolbico, the Database Of Local Biomolecular Conformers, stores DNA structural data including the information about DNA local spatial arrangement. The main aim of Dolbico is the exploration of DNA structure at a local level. The analysis of local DNA structure is based on a classification system that uses 9 torsional angles (7 backbone angles and two glycosidic torsions) to categorize dinucleotides into several distinct conformational families. The implemented classification workflow is able not only to classify dinucleotides into already existing classes, but is also able to discover new classes in new solved DNA structures.","abbreviation":"Dolbico","data_curation":{"type":"not found"},"support_links":[{"url":"http://dolbico.org/help","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2024-03-20","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000865","bsg-d000865"],"name":"FAIRsharing record for: Database Of Local Biomolecular Conformers","abbreviation":"Dolbico","url":"https://fairsharing.org/10.25504/FAIRsharing.m58329","doi":"10.25504/FAIRsharing.m58329","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dolbico, the Database Of Local Biomolecular Conformers, stores DNA structural data including the information about DNA local spatial arrangement. The main aim of Dolbico is the exploration of DNA structure at a local level. The analysis of local DNA structure is based on a classification system that uses 9 torsional angles (7 backbone angles and two glycosidic torsions) to categorize dinucleotides into several distinct conformational families. The implemented classification workflow is able not only to classify dinucleotides into already existing classes, but is also able to discover new classes in new solved DNA structures.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11393},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12182}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Classification","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[],"licence_links":[],"grants":[{"id":2437,"fairsharing_record_id":2385,"organisation_id":1674,"relation":"maintains","created_at":"2021-09-30T09:25:43.787Z","updated_at":"2021-09-30T09:25:43.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1674,"name":"Laboratory of Informatics and Chemistry, Prague, Czech Republic","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2372","type":"fairsharing_records","attributes":{"created_at":"2016-12-07T22:02:32.000Z","updated_at":"2024-01-03T07:55:28.990Z","metadata":{"doi":"10.25504/FAIRsharing.1y63n8","name":"MorphoBank","status":"ready","contacts":[{"contact_name":"Tanya Berardini","contact_email":"tberardini@phoenixbioinformatics.org","contact_orcid":"0000-0002-3837-8864"}],"homepage":"https://morphobank.org/","citations":[],"identifier":2372,"description":"MorphoBank provides a digital archive of biodiversity and evolutionary research data, specifically systematics (the science of determining the evolutionary relationships among species). MorphoBank aids development of the Tree of Life - the genealogy of all living and extinct species. Heritable features - both genotypes (e.g., DNA sequences) and phenotypes (e.g., anatomy, behavior, physiology) are stored as part of the Tree of Life project. While the genomic part of this work is archived at the National Center for Biotechnology Information (NCBI), MorphoBank is part of the infrastructure for storing and sharing phenotype data, including information on anatomy, physiology, behavior and other features of species. One can think of MorphoBank as two databases in one: one that permits researchers to upload images and affiliate data with those images (labels, species names, etc.) and a second database that allows researchers to upload morphological data and affiliate it with phylogenetic matrices. In both cases, MorphoBank is project-based, meaning a team of researchers can create a project and share the images and associated data exclusively with each other. When a paper associated with the project is published, the research team can make their data permanently available for view on MorphoBank where it is now archived. The phylogenetic matrix aspect of MorphoBank is designed to aid systematists working alone or in teams to build large phylogenetic trees using morphology (anatomy, histology, neurology, or any aspect of phenotypes) or a combination of morphology and molecular data.","abbreviation":"MorphoBank","data_curation":{"type":"manual"},"support_links":[{"url":"https://morphobank.org/index.php/Press/Index","name":"In The News","type":"Blog/News"},{"url":"https://morphobank.org/index.php/Contact/Index","name":"Contact Form","type":"Contact form"},{"url":"https://morphobank.org/index.php/FAQ/Index","name":"MorphoBank FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://morphobank.org/index.php/Documentation/Index","name":"Documentation","type":"Help documentation"},{"url":"https://morphobank.org/index.php/About/Index","name":"About MorphoBank","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Morphobank","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010101","name":"re3data:r3d100010101","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003213","name":"SciCrunch:RRID:SCR_003213","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://conf.phoenixbioinformatics.org/display/MD/User+Guide+-+Project+Management#UserGuideProjectManagement-CreatingaNewProject","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000851","bsg-d000851"],"name":"FAIRsharing record for: MorphoBank","abbreviation":"MorphoBank","url":"https://fairsharing.org/10.25504/FAIRsharing.1y63n8","doi":"10.25504/FAIRsharing.1y63n8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MorphoBank provides a digital archive of biodiversity and evolutionary research data, specifically systematics (the science of determining the evolutionary relationships among species). MorphoBank aids development of the Tree of Life - the genealogy of all living and extinct species. Heritable features - both genotypes (e.g., DNA sequences) and phenotypes (e.g., anatomy, behavior, physiology) are stored as part of the Tree of Life project. While the genomic part of this work is archived at the National Center for Biotechnology Information (NCBI), MorphoBank is part of the infrastructure for storing and sharing phenotype data, including information on anatomy, physiology, behavior and other features of species. One can think of MorphoBank as two databases in one: one that permits researchers to upload images and affiliate data with those images (labels, species names, etc.) and a second database that allows researchers to upload morphological data and affiliate it with phylogenetic matrices. In both cases, MorphoBank is project-based, meaning a team of researchers can create a project and share the images and associated data exclusively with each other. When a paper associated with the project is published, the research team can make their data permanently available for view on MorphoBank where it is now archived. The phylogenetic matrix aspect of MorphoBank is designed to aid systematists working alone or in teams to build large phylogenetic trees using morphology (anatomy, histology, neurology, or any aspect of phenotypes) or a combination of morphology and molecular data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Paleontology","Phylogeny","Phylogenetics","Behavioural Biology","Biodiversity","Evolutionary Biology","Biology"],"domains":["Bioimaging","Evolution"],"taxonomies":["All"],"user_defined_tags":["phylogenetic matrix"],"countries":["United States"],"publications":[{"id":2203,"pubmed_id":24987572,"title":"Best practices for data sharing in phylogenetic research.","year":2014,"url":"http://doi.org/10.1371/currents.tol.bf01eff4a6b60ca4825c69293dc59645","authors":"Cranston K,Harmon LJ,O'Leary MA,Lisle C","journal":"PLoS Curr","doi":"10.1371/currents.tol.bf01eff4a6b60ca4825c69293dc59645","created_at":"2021-09-30T08:26:28.248Z","updated_at":"2021-09-30T08:26:28.248Z"},{"id":2204,"pubmed_id":25861210,"title":"A RESTful API for Access to Phylogenetic Tools via the CIPRES Science Gateway.","year":2015,"url":"http://doi.org/10.4137/EBO.S21501","authors":"Miller MA,Schwartz T,Pickett BE,He S,Klem EB,Scheuermann RH,Passarotti M,Kaufman S,O'Leary MA","journal":"Evol Bioinform Online","doi":"10.4137/EBO.S21501","created_at":"2021-09-30T08:26:28.401Z","updated_at":"2021-09-30T08:26:28.401Z"},{"id":2205,"pubmed_id":null,"title":"From card catalogs to computers: databases in vertebrate paleontology","year":2013,"url":"http://doi.org/10.1080/02724634.2012.716114","authors":"Mark D. Uhen, Anthony D. Barnosky, Brian Bills, et al.","journal":"Journal of Vertebrate Paleontology, 33:1, 13-28","doi":"10.1080/02724634.2012.716114","created_at":"2021-09-30T08:26:28.523Z","updated_at":"2021-09-30T08:26:28.523Z"},{"id":2224,"pubmed_id":null,"title":"Editorial","year":2011,"url":"http://doi.org/10.1080/02724634.2011.546742","authors":"Annalisa Berta, Paul M. Barrett","journal":"Journal of Vertebrate Paleontology, 31:1, 1","doi":"10.1080/02724634.2011.546742","created_at":"2021-09-30T08:26:30.599Z","updated_at":"2021-09-30T08:26:30.599Z"},{"id":2225,"pubmed_id":null,"title":"The encyclopedia of life","year":2003,"url":"http://doi.org/10.1016/S0169-5347(02)00040-X","authors":"Wilson, Edward O","journal":"Trends in Ecology and Evolution , Volume 18 , Issue 2 , 77 - 80","doi":"10.1016/S0169-5347(02)00040-X","created_at":"2021-09-30T08:26:30.699Z","updated_at":"2021-09-30T08:26:30.699Z"},{"id":2226,"pubmed_id":null,"title":"Strategies and guidelines for scholarly publishing of biodiversity data","year":2017,"url":"http://doi.org/10.3897/rio.3.e12431","authors":"Penev L, Mietchen D, Chavan V, Hagedorn G, Smith V, Shotton D, O Tuama E, Senderov V, Georgiev T, Stoev P, Groom Q, Remsen D, Edmunds S","journal":"Research Ideas and Outcomes 3: e12431","doi":"10.3897/rio.3.e12431","created_at":"2021-09-30T08:26:30.810Z","updated_at":"2021-09-30T08:26:30.810Z"},{"id":3072,"pubmed_id":null,"title":"MorphoBank: phylophenomics in the “cloud”","year":2011,"url":"http://doi.org/10.1111/j.1096-0031.2011.00355.x","authors":"O'Leary, M. A. and Kaufman, S.","journal":"Cladistics, 27: 529–537","doi":"10.1111/j.1096-0031.2011.00355.x","created_at":"2021-09-30T08:28:18.549Z","updated_at":"2021-09-30T08:28:18.549Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2161,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2160,"relation":"undefined"},{"licence_name":"MorphoBank Terms of Use","licence_id":521,"licence_url":"https://morphobank.org/index.php/TermsOfUse/Index","link_id":2162,"relation":"undefined"}],"grants":[{"id":2385,"fairsharing_record_id":2372,"organisation_id":79,"relation":"maintains","created_at":"2021-09-30T09:25:42.096Z","updated_at":"2021-09-30T09:25:42.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":79,"name":"American Museum of Natural History, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2388,"fairsharing_record_id":2372,"organisation_id":2646,"relation":"maintains","created_at":"2021-09-30T09:25:42.192Z","updated_at":"2021-09-30T09:25:42.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":2646,"name":"Stony Brook University, Stony Brook, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2384,"fairsharing_record_id":2372,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:42.066Z","updated_at":"2021-09-30T09:31:20.152Z","grant_id":1124,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1457925","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8460,"fairsharing_record_id":2372,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:44.436Z","updated_at":"2021-09-30T09:32:44.492Z","grant_id":1757,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0622359","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2386,"fairsharing_record_id":2372,"organisation_id":79,"relation":"funds","created_at":"2021-09-30T09:25:42.118Z","updated_at":"2021-09-30T09:25:42.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":79,"name":"American Museum of Natural History, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2387,"fairsharing_record_id":2372,"organisation_id":2322,"relation":"maintains","created_at":"2021-09-30T09:25:42.150Z","updated_at":"2021-09-30T09:25:42.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":2322,"name":"Phoenix Bioinformatics Corporation","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2390,"fairsharing_record_id":2372,"organisation_id":1898,"relation":"maintains","created_at":"2021-09-30T09:25:42.271Z","updated_at":"2021-09-30T09:25:42.271Z","grant_id":null,"is_lead":true,"saved_state":{"id":1898,"name":"MorphoBank Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2389,"fairsharing_record_id":2372,"organisation_id":2056,"relation":"funds","created_at":"2021-09-30T09:25:42.240Z","updated_at":"2021-09-30T09:32:42.247Z","grant_id":1740,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","grant":"NA04OAR4700191","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8469,"fairsharing_record_id":2372,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:47.303Z","updated_at":"2021-09-30T09:32:47.355Z","grant_id":1778,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-9903964","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2373","type":"fairsharing_records","attributes":{"created_at":"2017-01-14T19:43:51.000Z","updated_at":"2022-04-21T07:44:08.929Z","metadata":{"doi":"10.25504/FAIRsharing.v1h8rk","name":"Atlas of Living Australia IPT - GBIF Australia Repository","status":"deprecated","contacts":[{"contact_email":"helpdesk@gbif.org"}],"homepage":"http://ipt.ala.org.au/","citations":[],"identifier":2373,"description":"The Atlas of Living Australia (GBIF Australia) maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Australia supports researchers in Australia by providing them helpdesk assistance and by hosting their data for free in this repository.","abbreviation":"ALA IPT - GBIF Australia Repository","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/FAQ.wiki","name":"IPT FAQ","type":"Github"},{"url":"https://github.com/gbif/ipt/issues/new","name":"IPT Issues","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"IPT Manual","type":"Github"},{"url":"http://ipt.ala.org.au/about.do","name":"About the ALA IPT","type":"Help documentation"},{"url":"http://ipt.ala.org.au/rss.do","name":"ALA IPT RSS Feed","type":"Blog/News"},{"url":"https://twitter.com/atlaslivingaust","name":"@atlaslivingaust","type":"Twitter"}],"year_creation":2016,"data_versioning":"not found","deprecation_date":"2022-04-21","deprecation_reason":"Functionality that led to the installation of the IPT is now supported through the Atlas of Living Australia's own software stack: see https://fairsharing.org/FAIRsharing.2f66da","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000852","bsg-d000852"],"name":"FAIRsharing record for: Atlas of Living Australia IPT - GBIF Australia Repository","abbreviation":"ALA IPT - GBIF Australia Repository","url":"https://fairsharing.org/10.25504/FAIRsharing.v1h8rk","doi":"10.25504/FAIRsharing.v1h8rk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Atlas of Living Australia (GBIF Australia) maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Australia supports researchers in Australia by providing them helpdesk assistance and by hosting their data for free in this repository.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11643}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":["Introduced Species","Invasive Species"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1500,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1497,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1499,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1498,"relation":"undefined"}],"grants":[{"id":2392,"fairsharing_record_id":2373,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:42.335Z","updated_at":"2021-09-30T09:25:42.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2391,"fairsharing_record_id":2373,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:25:42.312Z","updated_at":"2021-09-30T09:25:42.312Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2393,"fairsharing_record_id":2373,"organisation_id":132,"relation":"maintains","created_at":"2021-09-30T09:25:42.361Z","updated_at":"2021-09-30T09:25:42.361Z","grant_id":null,"is_lead":true,"saved_state":{"id":132,"name":"Atlas of Living Australia, Australia","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2369","type":"fairsharing_records","attributes":{"created_at":"2016-12-01T10:34:17.000Z","updated_at":"2023-12-15T10:33:07.196Z","metadata":{"doi":"10.25504/FAIRsharing.3f9n4y","name":"Open Targets","status":"ready","contacts":[{"contact_name":"Open Targets Team","contact_email":"helpdesk@opentargets.org"}],"homepage":"https://platform.opentargets.org/","citations":[{"doi":"10.1093/nar/gkac1046","pubmed_id":null,"publication_id":3909}],"identifier":2369,"description":"Open Targets is a data integration platform for access to and visualisation of potential drug targets associated with disease. Each drug target is linked to a disease using integrated genome-wide data from a broad range of data sources.","abbreviation":"Open Targets","data_curation":{"type":"not found"},"support_links":[{"url":"http://blog.opentargets.org/","name":"Open Targets Blog","type":"Blog/News"},{"url":"https://www.opentargets.org/contact","name":"Contact Form","type":"Contact form"},{"url":"https://community.opentargets.org/","name":"Community Forum","type":"Forum"},{"url":"https://platform-docs.opentargets.org/","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/opentargets","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/text-mining-key-concepts-and-applications","name":"Text mining: Key concepts and applications","type":"TeSS links to training materials"},{"url":"https://twitter.com/opentargets","name":"@opentargets","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"url":"https://platform.opentargets.org/downloads","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000848","bsg-d000848"],"name":"FAIRsharing record for: Open Targets","abbreviation":"Open Targets","url":"https://fairsharing.org/10.25504/FAIRsharing.3f9n4y","doi":"10.25504/FAIRsharing.3f9n4y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Targets is a data integration platform for access to and visualisation of potential drug targets associated with disease. Each drug target is linked to a disease using integrated genome-wide data from a broad range of data sources.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11784},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12766}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Molecular biology","Genomics","Epigenetics","Genetics","Human Genetics","Transcriptomics","Biomedical Science"],"domains":["Gene report","Abstract","Text mining","Disease process modeling","Rare disease","Phenotype","Disease phenotype","Disease","Gene-disease association","Target","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China","United Kingdom","United States"],"publications":[{"id":1231,"pubmed_id":27899665,"title":"Open Targets: a platform for therapeutic target identification and validation.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1055","authors":"Koscielny G,An P,Carvalho-Silva D et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1055","created_at":"2021-09-30T08:24:37.306Z","updated_at":"2021-09-30T11:29:03.495Z"},{"id":2054,"pubmed_id":33196847,"title":"Open Targets Platform: supporting systematic drug-target identification and prioritisation.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1027","authors":"Ochoa D,Hercules A,Carmona M et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1027","created_at":"2021-09-30T08:26:11.404Z","updated_at":"2021-09-30T11:29:27.520Z"},{"id":2571,"pubmed_id":30462303,"title":"Open Targets Platform: new developments and updates two years on.","year":2018,"url":"http://doi.org/10.1093/nar/gky1133","authors":"Carvalho-Silva D,Pierleoni A,Pignatelli M,Ong C,Fumis L,Karamanis N,Carmona M,Faulconbridge A,Hercules A,McAuley E,Miranda A,Peat G,Spitzer M,Barrett J,Hulcoop DG,Papa E,Koscielny G,Dunham I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1133","created_at":"2021-09-30T08:27:15.259Z","updated_at":"2021-09-30T11:29:39.612Z"},{"id":3909,"pubmed_id":null,"title":"The next-generation Open Targets Platform: reimagined, redesigned, rebuilt","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1046","authors":"Ochoa, David; Hercules, Andrew; Carmona, Miguel; Suveges, Daniel; Baker, Jarrod; Malangone, Cinzia; Lopez, Irene; Miranda, Alfredo; Cruz-Castillo, Carlos; Fumis, Luca; Bernal-Llinares, Manuel; Tsukanov, Kirill; Cornu, Helena; Tsirigos, Konstantinos; Razuvayevskaya, Olesya; Buniello, Annalisa; Schwartzentruber, Jeremy; Karim, Mohd; Ariano, Bruno; Martinez Osorio, Ricardo Esteban; Ferrer, Javier; Ge, Xiangyu; Machlitt-Northen, Sandra; Gonzalez-Uriarte, Asier; Saha, Shyamasree; Tirunagari, Santosh; Mehta, Chintan; Roldán-Romero, Juan María; Horswell, Stuart; Young, Sarah; Ghoussaini, Maya; Hulcoop, David G; Dunham, Ian; McDonagh, Ellen M; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1046","created_at":"2023-06-14T07:41:44.652Z","updated_at":"2023-06-14T07:41:44.652Z"}],"licence_links":[{"licence_name":"Open Target Terms of Use","licence_id":632,"licence_url":"https://platform-docs.opentargets.org/terms-of-use","link_id":808,"relation":"undefined"}],"grants":[{"id":2378,"fairsharing_record_id":2369,"organisation_id":232,"relation":"maintains","created_at":"2021-09-30T09:25:41.903Z","updated_at":"2021-09-30T09:25:41.903Z","grant_id":null,"is_lead":false,"saved_state":{"id":232,"name":"BioGen","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2380,"fairsharing_record_id":2369,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:41.952Z","updated_at":"2021-09-30T09:25:41.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9248,"fairsharing_record_id":2369,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.162Z","updated_at":"2022-04-11T12:07:25.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9329,"fairsharing_record_id":2369,"organisation_id":403,"relation":"funds","created_at":"2022-04-11T12:07:30.789Z","updated_at":"2022-04-11T12:07:30.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2370","type":"fairsharing_records","attributes":{"created_at":"2017-01-12T17:59:26.000Z","updated_at":"2023-12-15T10:30:40.481Z","metadata":{"doi":"10.25504/FAIRsharing.q8fx1b","name":"Ontobee","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.ontobee.org/","citations":[],"identifier":2370,"description":"A linked data server designed for ontologies. Ontobee is aimed to facilitate ontology data sharing, visualization, query, integration, and analysis. Ontobee dynamically dereferences and presents individual ontology term URIs to (i) HTML web pages for user-friendly web browsing and navigation, and to (ii) RDF source code for Semantic Web applications. Ontobee is the default linked data server for most OBO Foundry library ontologies. Ontobee has also been used for many non-OBO ontologies.","abbreviation":"Ontobee","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.ontobee.org/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/forum/#!forum/ontobee-discuss","type":"Forum"},{"url":"http://www.ontobee.org/tutorial","type":"Help documentation"},{"url":"http://www.ontobee.org/introduction","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000849","bsg-d000849"],"name":"FAIRsharing record for: Ontobee","abbreviation":"Ontobee","url":"https://fairsharing.org/10.25504/FAIRsharing.q8fx1b","doi":"10.25504/FAIRsharing.q8fx1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A linked data server designed for ontologies. Ontobee is aimed to facilitate ontology data sharing, visualization, query, integration, and analysis. Ontobee dynamically dereferences and presents individual ontology term URIs to (i) HTML web pages for user-friendly web browsing and navigation, and to (ii) RDF source code for Semantic Web applications. Ontobee is the default linked data server for most OBO Foundry library ontologies. Ontobee has also been used for many non-OBO ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Ontology and Terminology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1994,"pubmed_id":27733503,"title":"Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration.","year":2016,"url":"http://doi.org/10.1093/nar/gkw918","authors":"Ong E, Xiang Z, Zhao B, Liu Y, Lin Y, Zheng J, Mungall C, Courtot M, Ruttenberg A, He Y.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw918","created_at":"2021-09-30T08:26:04.466Z","updated_at":"2021-09-30T08:26:04.466Z"}],"licence_links":[],"grants":[{"id":2382,"fairsharing_record_id":2370,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:25:42.003Z","updated_at":"2021-09-30T09:25:42.003Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2371","type":"fairsharing_records","attributes":{"created_at":"2016-12-05T09:50:22.000Z","updated_at":"2023-12-15T10:31:58.399Z","metadata":{"doi":"10.25504/FAIRsharing.e4r5nj","name":"MalaCards","status":"ready","contacts":[{"contact_name":"Doron Lancet","contact_email":"doron.lancet@weizmann.ac.il","contact_orcid":"0000-0001-8643-2055"}],"homepage":"http://www.malacards.org/","identifier":2371,"description":"The MalaCards human disease database (http://www. malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards’ affiliation with the GeneCards Suite of databases. MalaCards’ capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a ‘flat’ disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny.","abbreviation":"MalaCards","data_curation":{"url":"https://www.malacards.org/pages/info","type":"manual/automated"},"support_links":[{"url":"http://www.malacards.org/pages/info#whats_in_a_malacard","type":"Help documentation"},{"url":"http://www.malacards.org/pages/searchguide","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://www.malacards.org/categories","name":"View by Category"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012018","name":"re3data:r3d100012018","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005817","name":"SciCrunch:RRID:SCR_005817","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000850","bsg-d000850"],"name":"FAIRsharing record for: MalaCards","abbreviation":"MalaCards","url":"https://fairsharing.org/10.25504/FAIRsharing.e4r5nj","doi":"10.25504/FAIRsharing.e4r5nj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MalaCards human disease database (http://www. malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards’ affiliation with the GeneCards Suite of databases. MalaCards’ capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a ‘flat’ disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":1086,"pubmed_id":27899610,"title":"MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1012","authors":"Rappaport N,Twik M,Plaschkes I,Nudel R,Iny Stein T,Levitt J,Gershoni M,Morrey CP,Safran M,Lancet D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1012","created_at":"2021-09-30T08:24:20.304Z","updated_at":"2021-09-30T11:28:58.285Z"}],"licence_links":[{"licence_name":"GeneCards Academic License","licence_id":328,"licence_url":"http://www.genecards.org/AcadLicense.pdf","link_id":925,"relation":"undefined"}],"grants":[{"id":2383,"fairsharing_record_id":2371,"organisation_id":3224,"relation":"maintains","created_at":"2021-09-30T09:25:42.032Z","updated_at":"2021-09-30T09:25:42.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":3224,"name":"Weizmann Institute of Science, Rehovot, Israel","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2375","type":"fairsharing_records","attributes":{"created_at":"2017-01-09T18:36:47.000Z","updated_at":"2023-12-15T10:30:25.426Z","metadata":{"doi":"10.25504/FAIRsharing.bk3z3n","name":"GBIF Spain IPT - GBIF Spain Repository","status":"ready","contacts":[{"contact_name":"Santiago Martínez de la Riva","contact_email":"sama@gbif.es"}],"homepage":"http://www.gbif.es/ipt/","identifier":2375,"description":"GBIF Spain maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Spain supports researchers in Spain by providing them helpdesk assistance and by hosting their data for free in this repository. It has already been used to publish/host data in scientific publications, e.g. http://dx.doi.org/10.15470/qomfu6 which is the data this Scientific Data publication is based on: http://dx.doi.org/10.1038/sdata.2016.85","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"info@gbif.es","type":"Support email"},{"url":"https://github.com/gbif/ipt/wiki/FAQ.wiki","type":"Github"},{"url":"http://lists.gbif.org/mailman/listinfo/ipt","type":"Mailing list"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","type":"Github"},{"url":"http://www.gbif.org/disclaimer/datasharing","type":"Help documentation"},{"url":"https://twitter.com/GbifEs","type":"Twitter"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://www.gbif.org/ipt","name":"GBIF Integrated Publishing Toolkit (IPT) 2.3.x"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000854","bsg-d000854"],"name":"FAIRsharing record for: GBIF Spain IPT - GBIF Spain Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bk3z3n","doi":"10.25504/FAIRsharing.bk3z3n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF Spain maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Spain supports researchers in Spain by providing them helpdesk assistance and by hosting their data for free in this repository. It has already been used to publish/host data in scientific publications, e.g. http://dx.doi.org/10.15470/qomfu6 which is the data this Scientific Data publication is based on: http://dx.doi.org/10.1038/sdata.2016.85","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11644}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1981,"pubmed_id":27676217,"title":"Long-term data set of small mammals from owl pellets in the Atlantic-Mediterranean transition area.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.85","authors":"Escribano N,Galicia D,Arino AH,Escala C","journal":"Sci Data","doi":"10.1038/sdata.2016.85","created_at":"2021-09-30T08:26:02.949Z","updated_at":"2021-09-30T08:26:02.949Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1022,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":376,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1029,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1026,"relation":"undefined"}],"grants":[{"id":2402,"fairsharing_record_id":2375,"organisation_id":1167,"relation":"maintains","created_at":"2021-09-30T09:25:42.586Z","updated_at":"2021-09-30T09:25:42.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":1167,"name":"Global Biodiversity Information Facility (GBIF) in Spain, Madrid, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2400,"fairsharing_record_id":2375,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:25:42.535Z","updated_at":"2021-09-30T09:25:42.535Z","grant_id":null,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2401,"fairsharing_record_id":2375,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:25:42.561Z","updated_at":"2021-09-30T09:25:42.561Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2377","type":"fairsharing_records","attributes":{"created_at":"2017-01-14T20:27:28.000Z","updated_at":"2023-12-15T10:31:04.649Z","metadata":{"doi":"10.25504/FAIRsharing.t80940","name":"SiB Colombia IPT - GBIF Colombia Repository","status":"ready","contacts":[{"contact_name":"SiB Colombia Secretariat","contact_email":"sib@humboldt.org.co"}],"homepage":"http://ipt.biodiversidad.co/sib/","citations":[],"identifier":2377,"description":"The Colombian Biodiversity Information System (SiB Colombia) maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. SiB Colombia supports researchers in Colombia by providing them helpdesk assistance and by hosting their data for free in this repository.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/FAQ.wiki","type":"Github"},{"url":"https://github.com/SIB-Colombia/ipt/issues/new","type":"Github"},{"url":"https://sites.google.com/humboldt.org.co/wikisib/contacto","type":"Help documentation"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes_ES.wiki","type":"Github"},{"url":"http://www.gbif.org/disclaimer/datasharing","type":"Help documentation"},{"url":"http://ipt.biodiversidad.co/sib/rss.do","type":"Blog/News"},{"url":"https://twitter.com/sibcolombia","type":"Twitter"},{"url":"https://sites.google.com/humboldt.org.co/wikisib/inicio","type":"Wikipedia"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://www.gbif.org/ipt","name":"Integrated Publishing Toolkit (IPT) 2.3.3"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000856","bsg-d000856"],"name":"FAIRsharing record for: SiB Colombia IPT - GBIF Colombia Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.t80940","doi":"10.25504/FAIRsharing.t80940","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Colombian Biodiversity Information System (SiB Colombia) maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. SiB Colombia supports researchers in Colombia by providing them helpdesk assistance and by hosting their data for free in this repository.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11646}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Colombia"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":250,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":382,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1031,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1024,"relation":"undefined"}],"grants":[{"id":2405,"fairsharing_record_id":2377,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:25:42.662Z","updated_at":"2021-09-30T09:25:42.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2406,"fairsharing_record_id":2377,"organisation_id":2564,"relation":"maintains","created_at":"2021-09-30T09:25:42.692Z","updated_at":"2021-09-30T09:25:42.692Z","grant_id":null,"is_lead":false,"saved_state":{"id":2564,"name":"SiB Colombia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2407,"fairsharing_record_id":2377,"organisation_id":1452,"relation":"funds","created_at":"2021-09-30T09:25:42.734Z","updated_at":"2021-09-30T09:25:42.734Z","grant_id":null,"is_lead":false,"saved_state":{"id":1452,"name":"Instituto Humboldt (IAvH), Bogota, Colombia","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2386","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T14:17:34.000Z","updated_at":"2023-12-15T10:32:15.841Z","metadata":{"doi":"10.25504/FAIRsharing.923a0p","name":"Ensembl Genomes","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@ensembl.org"}],"homepage":"https://ensemblgenomes.org/","citations":[{"doi":"10.1093/nar/gkz890","pubmed_id":31598706,"publication_id":1081}],"identifier":2386,"description":"The Ensembl genome annotation system, developed jointly by EMBL-EBI and the Wellcome Trust Sanger Institute, has been used for the annotation, analysis and display of vertebrate genomes since 2000. Since 2009, the Ensembl site has been complemented by the creation of five new sites, for bacteria, protists, fungi, plants and invertebrate metazoa, enabling users to use a single collection of (interactive and programatic) interfaces for accessing and comparing genome-scale data from species of scientific interest from across the taxonomy.","abbreviation":"Ensembl Genomes","data_curation":{"url":"https://rapid.ensembl.org/info/genome/genebuild/index.html","type":"automated"},"support_links":[{"url":"https://www.ensembl.info/","name":"Ensembl Blog","type":"Blog/News"},{"url":"helpdesk@ensemblgenomes.org","name":"Ensembl Genomes Helpdesk","type":"Support email"},{"url":"https://twitter.com/ensemblgenomes","name":"@ensemblgenomes","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011197","name":"re3data:r3d100011197","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006773","name":"SciCrunch:RRID:SCR_006773","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000866","bsg-d000866"],"name":"FAIRsharing record for: Ensembl Genomes","abbreviation":"Ensembl Genomes","url":"https://fairsharing.org/10.25504/FAIRsharing.923a0p","doi":"10.25504/FAIRsharing.923a0p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ensembl genome annotation system, developed jointly by EMBL-EBI and the Wellcome Trust Sanger Institute, has been used for the annotation, analysis and display of vertebrate genomes since 2000. Since 2009, the Ensembl site has been complemented by the creation of five new sites, for bacteria, protists, fungi, plants and invertebrate metazoa, enabling users to use a single collection of (interactive and programatic) interfaces for accessing and comparing genome-scale data from species of scientific interest from across the taxonomy.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11394},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11850},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12769}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Comparative Genomics"],"domains":["DNA sequence data","Genome annotation","Genome alignment","Genome visualization","Genome"],"taxonomies":["Bacteria","Eukaryota","Fungi","Plantae","Vertebrata"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1081,"pubmed_id":31598706,"title":"Ensembl Genomes 2020-enabling non-vertebrate genomic research.","year":2019,"url":"http://doi.org/10.1093/nar/gkz890","authors":"Howe KL et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz890","created_at":"2021-09-30T08:24:19.787Z","updated_at":"2021-09-30T11:28:56.442Z"},{"id":1657,"pubmed_id":26578574,"title":"Ensembl Genomes 2016: more genomes, more complexity.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1209","authors":"Kersey PJ et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1209","created_at":"2021-09-30T08:25:25.609Z","updated_at":"2021-09-30T11:29:17.737Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1400,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1392,"relation":"undefined"}],"grants":[{"id":8023,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:27.811Z","updated_at":"2021-09-30T09:30:27.857Z","grant_id":723,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"222886-2 / Microme","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2439,"fairsharing_record_id":2386,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:43.860Z","updated_at":"2021-09-30T09:25:43.860Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2441,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:43.931Z","updated_at":"2021-09-30T09:29:14.317Z","grant_id":153,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/H531519/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2438,"fairsharing_record_id":2386,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:25:43.817Z","updated_at":"2021-09-30T09:29:34.377Z","grant_id":306,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"OPPGD1491","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2440,"fairsharing_record_id":2386,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:43.898Z","updated_at":"2021-09-30T09:29:42.038Z","grant_id":364,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"41686 IPGA Gramene","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2442,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:43.966Z","updated_at":"2021-09-30T09:30:13.598Z","grant_id":608,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"228421 / INFRAVEC","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2443,"fairsharing_record_id":2386,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:25:43.998Z","updated_at":"2021-09-30T09:30:35.639Z","grant_id":780,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"090548/B/09/Z","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7872,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:15.474Z","updated_at":"2021-09-30T09:29:15.515Z","grant_id":162,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/F19793/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7919,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:47.592Z","updated_at":"2021-09-30T09:29:47.647Z","grant_id":406,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I008071/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8192,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:31:25.732Z","updated_at":"2021-09-30T09:31:25.829Z","grant_id":1165,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"42660 / AllBio","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8250,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:44.715Z","updated_at":"2021-09-30T09:31:44.795Z","grant_id":1308,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/KK020102/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8256,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:46.773Z","updated_at":"2021-09-30T09:31:46.828Z","grant_id":1322,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M018458/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8262,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:31:48.682Z","updated_at":"2021-09-30T09:31:48.737Z","grant_id":1337,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"284496 / transPLANT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8274,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:52.066Z","updated_at":"2021-09-30T09:31:52.121Z","grant_id":1363,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/J00328X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8448,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:40.977Z","updated_at":"2021-09-30T09:32:41.032Z","grant_id":1731,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/J017299/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2380","type":"fairsharing_records","attributes":{"created_at":"2017-01-25T09:22:52.000Z","updated_at":"2023-06-23T15:27:08.866Z","metadata":{"doi":"10.25504/FAIRsharing.k4yzh","name":"BCCM/GeneCorner Plasmid Collection","status":"ready","contacts":[{"contact_name":"BCCM/GeneCorner","contact_email":"bccm.genecorner@UGent.be"}],"homepage":"http://www.genecorner.ugent.be/","identifier":2380,"description":"The BCCM/GeneCorner Plasmid Collection warrants the long-term storage and distribution of plasmids, microbial host strains and DNA libraries of fundamental, biotechnological, educational or general scientific importance. The focus is on the collection of recombinant plasmids that can replicate in a microbial host strain. BCCM/GeneCorner also accepts natural and genetically modified animal or human cell lines, including hybridomas, as well as other genetic material, in the safe deposit and patent deposit collections.","abbreviation":"BCCM/GeneCorner","data_curation":{"type":"none"},"year_creation":1977,"data_versioning":"no","associated_tools":[{"url":"http://www.genecorner.ugent.be/sms.html","name":"Sequence Manipulation Suite"},{"url":"http://www.genomecompiler.com/","name":"Genome Compiler"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013667","name":"re3data:r3d100013667","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007193","name":"SciCrunch:RRID:SCR_007193","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.genecorner.ugent.be/Public_Deposit","type":"open","notes":"Plasmids, microbial host strains and DNA libraries can be deposited."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000859","bsg-d000859"],"name":"FAIRsharing record for: BCCM/GeneCorner Plasmid Collection","abbreviation":"BCCM/GeneCorner","url":"https://fairsharing.org/10.25504/FAIRsharing.k4yzh","doi":"10.25504/FAIRsharing.k4yzh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BCCM/GeneCorner Plasmid Collection warrants the long-term storage and distribution of plasmids, microbial host strains and DNA libraries of fundamental, biotechnological, educational or general scientific importance. The focus is on the collection of recombinant plasmids that can replicate in a microbial host strain. BCCM/GeneCorner also accepts natural and genetically modified animal or human cell lines, including hybridomas, as well as other genetic material, in the safe deposit and patent deposit collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Cell line","Hybridoma","Plasmid","Host"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1986,"pubmed_id":27177818,"title":"Generation of a new Gateway-compatible inducible lentiviral vector platform allowing easy derivation of co-transduced cells.","year":2016,"url":"http://doi.org/10.2144/000114417","authors":"De Groote P,Grootjans S,Lippens S,Eichperger C,Leurs K,Kahr I,Tanghe G,Bruggeman I,De Schamphelaire W,Urwyler C,Vandenabeele P,Haustraete J,Declercq W","journal":"Biotechniques","doi":"10.2144/000114417","created_at":"2021-09-30T08:26:03.549Z","updated_at":"2021-09-30T08:26:03.549Z"},{"id":2730,"pubmed_id":25882545,"title":"Role of the Bacterial Type VI Secretion System in the Modulation of Mammalian Host Cell Immunity.","year":2015,"url":"http://doi.org/10.2174/0929867322666150417123744","authors":"De Ceuleneer M,Vanhoucke M,Beyaert R","journal":"Curr Med Chem","doi":"10.2174/0929867322666150417123744","created_at":"2021-09-30T08:27:35.297Z","updated_at":"2021-09-30T08:27:35.297Z"}],"licence_links":[{"licence_name":"BCCM Material Accession Agreement (MAA) F475A","licence_id":61,"licence_url":"http://bccm.belspo.be/services/maa","link_id":209,"relation":"undefined"},{"licence_name":"BCCM Material Transfer Agreement (MTA) 1.4","licence_id":62,"licence_url":"http://bccm.belspo.be/services/mta","link_id":211,"relation":"undefined"}],"grants":[{"id":2417,"fairsharing_record_id":2380,"organisation_id":3183,"relation":"maintains","created_at":"2021-09-30T09:25:43.135Z","updated_at":"2021-09-30T09:25:43.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":3183,"name":"VIB, Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2416,"fairsharing_record_id":2380,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:43.098Z","updated_at":"2021-09-30T09:25:43.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2418,"fairsharing_record_id":2380,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:25:43.176Z","updated_at":"2021-09-30T09:25:43.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2387","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T14:42:38.000Z","updated_at":"2023-06-23T09:38:12.148Z","metadata":{"doi":"10.25504/FAIRsharing.bcdtjc","name":"Enzyme Portal","status":"ready","contacts":[{"contact_name":"General EBI Support","contact_email":"support@ebi.ac.uk","contact_orcid":null}],"homepage":"http://www.ebi.ac.uk/enzymeportal/","citations":[],"identifier":2387,"description":"The Enzyme Portal is for those interested in the biology of enzymes and proteins with enzymatic activity. It integrates publicly available information about enzymes, such as small-molecule chemistry, biochemical pathways and drug compounds. It contains enzyme-related information from resources developed at the EBI, and presents it via a unified user experience. The Enzyme Portal team does not curate enzyme information and therefore is a secondary information resource or portal.","abbreviation":"Enzyme Portal","data_curation":{"url":"https://doi.org/10.1093/protein/gzx008","type":"automated"},"support_links":[{"url":"https://www.ebi.ac.uk/support/index.php?query=Enzyme+portal","name":"Feedback Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/enzymeportal/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/uniprot/enzymeportal","name":"GitHub Project \u0026 Docs","type":"Github"},{"url":"https://www.ebi.ac.uk/enzymeportal/about","name":"About","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/enzyme-portal-quick-tour","name":"Enzyme Portal: Quick tour","type":"TeSS links to training materials"},{"url":"https://twitter.com/enzymeportal","name":"@enzymeportal","type":"Twitter"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/thornton-srv/transform-miner/","name":"Transform-MinER"},{"url":"https://www.ebi.ac.uk/Tools/services/web/toolform.ebi?tool=ncbiblast\u0026database=enzymeportal","name":"NCBI BLAST+"},{"url":"https://www.ebi.ac.uk/enzymeportal/basket","name":"Compare Enzymes"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/licencing","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/enzymeportal/about","type":"controlled","notes":"Data sourced from other repositories"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000867","bsg-d000867"],"name":"FAIRsharing record for: Enzyme Portal","abbreviation":"Enzyme Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.bcdtjc","doi":"10.25504/FAIRsharing.bcdtjc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Enzyme Portal is for those interested in the biology of enzymes and proteins with enzymatic activity. It integrates publicly available information about enzymes, such as small-molecule chemistry, biochemical pathways and drug compounds. It contains enzyme-related information from resources developed at the EBI, and presents it via a unified user experience. The Enzyme Portal team does not curate enzyme information and therefore is a secondary information resource or portal.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11395},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12183}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Enzymology"],"domains":["Drug","Catalytic activity","Small molecule","Enzyme","Disease","Pathway model"],"taxonomies":["Arabidopsis thaliana","Bacillus subtilis","Bos taurus","Caenorhabditis elegans","Danio rerio","Dictyostelium discoideum","Drosophila melanogaster","Escherichia coli","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Oryza sativa L. ssp. japonica","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2053,"pubmed_id":23175605,"title":"The EBI enzyme portal.","year":2012,"url":"http://doi.org/10.1093/nar/gks1112","authors":"Alcantara R,Onwubiko J,Cao H,Matos Pd,Cham JA,Jacobsen J,Holliday GL,Fischer JD,Rahman SA,Jassal B,Goujon M,Rowland F,Velankar S,Lopez R,Overington JP,Kleywegt GJ,Hermjakob H,O'Donovan C,Martin MJ,Thornton JM,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1112","created_at":"2021-09-30T08:26:11.305Z","updated_at":"2021-09-30T11:29:27.427Z"},{"id":3368,"pubmed_id":null,"title":"An update on the Enzyme Portal: an integrative approach for exploring enzyme knowledge","year":2017,"url":"http://dx.doi.org/10.1093/protein/gzx008","authors":"Pundir, S.; Onwubiko, J.; Zaru, R.; Rosanoff, S.; Antunes, R.; Bingley, M.; Watkins, X.; O'Donovan, C.; Martin, M. J.; ","journal":"Protein Engineering, Design and Selection","doi":"10.1093/protein/gzx008","created_at":"2022-05-18T12:24:29.784Z","updated_at":"2022-05-18T12:24:29.784Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":322,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":323,"relation":"undefined"}],"grants":[{"id":9250,"fairsharing_record_id":2387,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.264Z","updated_at":"2022-04-11T12:07:25.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9549,"fairsharing_record_id":2387,"organisation_id":908,"relation":"maintains","created_at":"2022-05-18T12:25:08.228Z","updated_at":"2022-05-18T12:25:08.228Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2427","type":"fairsharing_records","attributes":{"created_at":"2017-04-15T12:11:49.000Z","updated_at":"2022-07-20T12:38:41.992Z","metadata":{"doi":"10.25504/FAIRsharing.ph8fx9","name":"Academic Seismic Portal","status":"deprecated","contacts":[{"contact_name":"Lisa Gahagan","contact_email":"lisa@ig.utexas.edu"}],"homepage":"http://www-udc.ig.utexas.edu/sdc/","identifier":2427,"description":"ASP is an archive of academic active-source seismic data, supported by the National Science Foundation.","abbreviation":"ASP","data_curation":{"type":"not found"},"support_links":[{"url":"http://www-udc.ig.utexas.edu/sdc/how_to_use.htm","type":"Help documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010631","name":"re3data:r3d100010631","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000403","name":"SciCrunch:RRID:SCR_000403","portal":"SciCrunch"}],"deprecation_date":"2021-9-20","deprecation_reason":"On June 1, 2020, the Academic Seismic Portal repositories at UTIG were merged into a single collection hosted at Lamont-Doherty Earth Observatory. Content at this resource was removed July 1, 2020. (see https://ig.utexas.edu/academic-seismic-portal-at-utig/)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000909","bsg-d000909"],"name":"FAIRsharing record for: Academic Seismic Portal","abbreviation":"ASP","url":"https://fairsharing.org/10.25504/FAIRsharing.ph8fx9","doi":"10.25504/FAIRsharing.ph8fx9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ASP is an archive of academic active-source seismic data, supported by the National Science Foundation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geophysics","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"IEDA Terms of Use","licence_id":424,"licence_url":"http://www-udc.ig.utexas.edu/sdc/about/terms_of_use.php","link_id":757,"relation":"undefined"}],"grants":[{"id":7937,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:56.235Z","updated_at":"2021-09-30T09:29:56.289Z","grant_id":477,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCE 0826282","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8104,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:58.755Z","updated_at":"2021-09-30T09:30:58.809Z","grant_id":962,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0095307","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2566,"fairsharing_record_id":2427,"organisation_id":1383,"relation":"maintains","created_at":"2021-09-30T09:25:48.005Z","updated_at":"2021-09-30T09:25:48.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":1383,"name":"Institute for Geophysics, University of Texas at Austin, Austin, TX, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2567,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:48.042Z","updated_at":"2021-09-30T09:29:10.910Z","grant_id":128,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0326821","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8372,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:18.742Z","updated_at":"2021-09-30T09:32:18.788Z","grant_id":1561,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0326679","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2428","type":"fairsharing_records","attributes":{"created_at":"2017-04-17T15:38:22.000Z","updated_at":"2023-12-15T10:32:53.910Z","metadata":{"doi":"10.25504/FAIRsharing.csr989","name":"Met Office Hadley Centre Observations Dataset","status":"ready","contacts":[{"contact_name":"Colin Morice","contact_email":"colin.morice@metoffice.gov.uk"}],"homepage":"http://www.metoffice.gov.uk/hadobs/index.html","identifier":2428,"description":"HadCRUT4 is a gridded dataset of global historical surface temperature anomalies relative to a 1961-1990 reference period. Data are available for each month since January 1850, on a 5 degree grid. The dataset is a collaborative product of the Met Office Hadley Centre and the Climatic Research Unit at the University of East Anglia.","abbreviation":"HadCRUT4","data_curation":{"type":"none"},"support_links":[{"url":"http://www.metoffice.gov.uk/hadobs/hadcrut4/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.metoffice.gov.uk/hadobs/hadcrut4/diagrams.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000910","bsg-d000910"],"name":"FAIRsharing record for: Met Office Hadley Centre Observations Dataset","abbreviation":"HadCRUT4","url":"https://fairsharing.org/10.25504/FAIRsharing.csr989","doi":"10.25504/FAIRsharing.csr989","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HadCRUT4 is a gridded dataset of global historical surface temperature anomalies relative to a 1961-1990 reference period. Data are available for each month since January 1850, on a 5 degree grid. The dataset is a collaborative product of the Met Office Hadley Centre and the Climatic Research Unit at the University of East Anglia.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1509,"pubmed_id":null,"title":"Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 data set","year":2012,"url":"http://doi.org/10.1029/2011JD017187","authors":"Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones","journal":"Journal of Geophysical Research","doi":"10.1029/2011JD017187","created_at":"2021-09-30T08:25:08.936Z","updated_at":"2021-09-30T08:25:08.936Z"}],"licence_links":[{"licence_name":"UK Met Office HadCRUT4: Terms and Conditions","licence_id":808,"licence_url":"http://www.metoffice.gov.uk/hadobs/hadcrut4/terms_and_conditions.html","link_id":993,"relation":"undefined"}],"grants":[{"id":2568,"fairsharing_record_id":2428,"organisation_id":3050,"relation":"maintains","created_at":"2021-09-30T09:25:48.075Z","updated_at":"2021-09-30T09:25:48.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":3050,"name":"University of East Anglia, Climatic Research Unit, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2569,"fairsharing_record_id":2428,"organisation_id":1823,"relation":"maintains","created_at":"2021-09-30T09:25:48.099Z","updated_at":"2021-09-30T09:25:48.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":1823,"name":"Met Office, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2429","type":"fairsharing_records","attributes":{"created_at":"2017-04-17T16:14:44.000Z","updated_at":"2023-12-15T10:31:45.775Z","metadata":{"doi":"10.25504/FAIRsharing.k9vqye","name":"National Snow and Ice Data Center Data Portal","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"nsidc@nsidc.org"}],"homepage":"http://nsidc.org/data/","citations":[],"identifier":2429,"description":"The National Snow and Ice Data Center (NSIDC) contains data on the cryosphere, which includes snow, ice, glaciers, frozen ground, and climate interactions. NSIDC manages and distributes scientific data, creates tools for data access, supports data users, performs scientific research, and educates the public about the cryosphere. Data are from satellites and field observations, and are from NASA, NSF, NOAA, and other programs. All data are available free of charge.","abbreviation":"NSIDC","data_curation":{"url":"https://nsidc.org/data/submit-data/submit-nasa-data-nsidc-daac","type":"manual/automated","notes":"NASA DAACs are discipline-specific repositories providing expert curation of data and metadata."},"support_links":[{"url":"https://nsidc.org/about/contact.html","name":"Contact Information","type":"Contact form"},{"url":"http://nsidc.org/cryosphere/icelights/","name":"General Cryosphere FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://nsidc.org/the-drift/data-update/","name":"Data Announcements","type":"Forum"},{"url":"https://nsidc.org/data/support","name":"Help Center","type":"Help documentation"},{"url":"https://nsidc.org/about/overview","name":"About","type":"Help documentation"}],"year_creation":1982,"data_versioning":"yes","associated_tools":[{"url":"https://nsidc.org/data/tools/analysis-and-imaging","name":"Data Analysis and Imaging Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010110","name":"re3data:r3d100010110","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002220","name":"SciCrunch:RRID:SCR_002220","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://nsidc.org/data/submit-data","type":"controlled","notes":"NASA-funded data can be hosted."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000911","bsg-d000911"],"name":"FAIRsharing record for: National Snow and Ice Data Center Data Portal","abbreviation":"NSIDC","url":"https://fairsharing.org/10.25504/FAIRsharing.k9vqye","doi":"10.25504/FAIRsharing.k9vqye","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Snow and Ice Data Center (NSIDC) contains data on the cryosphere, which includes snow, ice, glaciers, frozen ground, and climate interactions. NSIDC manages and distributes scientific data, creates tools for data access, supports data users, performs scientific research, and educates the public about the cryosphere. Data are from satellites and field observations, and are from NASA, NSF, NOAA, and other programs. All data are available free of charge.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Cryosphere"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1469,"relation":"undefined"},{"licence_name":"NSIDC Data Policies","licence_id":602,"licence_url":"https://nsidc.org/about/policies","link_id":1467,"relation":"undefined"},{"licence_name":"NSIDC Use and Copyright","licence_id":603,"licence_url":"https://nsidc.org/about/use_copyright.html","link_id":1001,"relation":"undefined"}],"grants":[{"id":2572,"fairsharing_record_id":2429,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:48.196Z","updated_at":"2021-09-30T09:25:48.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2570,"fairsharing_record_id":2429,"organisation_id":609,"relation":"maintains","created_at":"2021-09-30T09:25:48.124Z","updated_at":"2021-09-30T09:25:48.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":609,"name":"Cooperative Institute for Research in Environmental Science, University of Colorado Boulder, Boulder, CO, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2571,"fairsharing_record_id":2429,"organisation_id":2056,"relation":"funds","created_at":"2021-09-30T09:25:48.154Z","updated_at":"2021-09-30T09:25:48.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2573,"fairsharing_record_id":2429,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:48.238Z","updated_at":"2021-09-30T09:25:48.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2431","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T09:26:30.000Z","updated_at":"2023-12-15T10:32:22.454Z","metadata":{"doi":"10.25504/FAIRsharing.e7skc6","name":"NASA Data Portal","status":"ready","contacts":[{"contact_name":"Jason Dudley","contact_email":"jason.duley@nasa.gov"}],"homepage":"https://data.nasa.gov","identifier":2431,"description":"NASA's publicly available data sets and resources.","abbreviation":"NASA Data Portal","data_curation":{"type":"none"},"support_links":[{"url":"nasa-data@lists.arc.nasa.gov","type":"Support email"},{"url":"https://twitter.com/NASA","type":"Twitter"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011758","name":"re3data:r3d100011758","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000913","bsg-d000913"],"name":"FAIRsharing record for: NASA Data Portal","abbreviation":"NASA Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.e7skc6","doi":"10.25504/FAIRsharing.e7skc6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NASA's publicly available data sets and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":1109,"relation":"undefined"}],"grants":[{"id":2576,"fairsharing_record_id":2431,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:48.345Z","updated_at":"2021-09-30T09:25:48.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2432","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T09:50:39.000Z","updated_at":"2021-11-24T13:16:37.891Z","metadata":{"doi":"10.25504/FAIRsharing.56399h","name":"NCAR Community Data Portal","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"cdp@ucar.edu"}],"homepage":"http://cdp.ucar.edu","identifier":2432,"description":"The Community Data Portal (CDP) is a collection of earth science datasets from NCAR, UCAR, UOP, and participating organizations.","abbreviation":"CDP","data_curation":{"type":"not found"},"support_links":[{"url":"http://cdp.ucar.edu/support/","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2018-02-27","deprecation_reason":"The Community Data Portal (CDP) has been retired after nearly 15 years of service and is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000914","bsg-d000914"],"name":"FAIRsharing record for: NCAR Community Data Portal","abbreviation":"CDP","url":"https://fairsharing.org/10.25504/FAIRsharing.56399h","doi":"10.25504/FAIRsharing.56399h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Community Data Portal (CDP) is a collection of earth science datasets from NCAR, UCAR, UOP, and participating organizations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UCAR Community Data Portal Privacy Policy","licence_id":795,"licence_url":"http://cdp.ucar.edu/forward.htm?forward=/home/privacy_policy.htm","link_id":995,"relation":"undefined"},{"licence_name":"UCAR Community Data Portal Terms of Use","licence_id":796,"licence_url":"http://cdp.ucar.edu/forward.htm?forward=/home/terms_of_use.htm","link_id":996,"relation":"undefined"}],"grants":[{"id":2578,"fairsharing_record_id":2432,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:48.426Z","updated_at":"2021-09-30T09:25:48.426Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2577,"fairsharing_record_id":2432,"organisation_id":1957,"relation":"maintains","created_at":"2021-09-30T09:25:48.389Z","updated_at":"2021-09-30T09:25:48.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":1957,"name":"National Center for Atmospheric Research (NCAR), Boulder, CO, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2579,"fairsharing_record_id":2432,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:48.459Z","updated_at":"2021-09-30T09:25:48.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2580,"fairsharing_record_id":2432,"organisation_id":574,"relation":"maintains","created_at":"2021-09-30T09:25:48.564Z","updated_at":"2021-09-30T09:25:48.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":574,"name":"Computational and Information Systems Lab (CISL), USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2438","type":"fairsharing_records","attributes":{"created_at":"2017-04-19T11:11:53.000Z","updated_at":"2023-06-23T11:30:01.203Z","metadata":{"doi":"10.25504/FAIRsharing.3nm6zq","name":"UNAVCO Data","status":"ready","contacts":[{"contact_name":"General Information","contact_email":"data@unavco.org"}],"homepage":"https://www.unavco.org/data/data.html","citations":[],"identifier":2438,"description":"UNAVCO provides access to data that the community of geodetic scientists can use for quantifying the motions of rock, ice and water that are monitored by a variety of sensor types at or near the Earth's surface. The data types include GPS/GNSS, imaging data such as from SAR and TLS, strain and seismic borehole data, and meteorological data. Most of these can be accessed via web services. In addition, GPS/GNSS datasets, TLS datasets, and InSAR products are assigned digital object identifiers.","abbreviation":"UNAVCO Data","data_curation":{"url":"https://www.unavco.org/data/data-help/about-data/about-data.html","type":"automated","notes":"Data management and archiving (distribution and curation) is part of the data treatment flow."},"support_links":[{"url":"https://www.unavco.org/news/news-feed/","name":"News","type":"Blog/News"},{"url":"https://www.unavco.org/data/data-help/data-help.html","name":"Data Help","type":"Help documentation"},{"url":"https://www.unavco.org/data/gps-gnss/ftp/ftp.html","name":"FTP Server Layout","type":"Help documentation"},{"url":"https://www.unavco.org/data/data-help/about-data/about-data.html","name":"About","type":"Help documentation"},{"url":"https://twitter.com/UNAVCO","name":"@UNAVCO","type":"Twitter"}],"year_creation":1984,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010872","name":"re3data:r3d100010872","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006706","name":"SciCrunch:RRID:SCR_006706","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.unavco.org/data/data-help/custom-data-request/custom-data-request.html","type":"open","notes":"Some data are only available via special request."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.unavco.org/data/data-help/submission/submission.html","type":"controlled","notes":"Specific timings must be respected for data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000920","bsg-d000920"],"name":"FAIRsharing record for: UNAVCO Data","abbreviation":"UNAVCO Data","url":"https://fairsharing.org/10.25504/FAIRsharing.3nm6zq","doi":"10.25504/FAIRsharing.3nm6zq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UNAVCO provides access to data that the community of geodetic scientists can use for quantifying the motions of rock, ice and water that are monitored by a variety of sensor types at or near the Earth's surface. The data types include GPS/GNSS, imaging data such as from SAR and TLS, strain and seismic borehole data, and meteorological data. Most of these can be accessed via web services. In addition, GPS/GNSS datasets, TLS datasets, and InSAR products are assigned digital object identifiers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Geology","Geodesy","Earth Science"],"domains":["Geographical location","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":["Geological mapping","Global Positioning System","Troposphere"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UNAVCO Data Attribution Policy","licence_id":813,"licence_url":"https://www.unavco.org/community/policies_forms/attribution/attribution.html","link_id":1983,"relation":"undefined"},{"licence_name":"UNAVCO Data Policy","licence_id":814,"licence_url":"http://www.unavco.org/community/policies_forms/data-policy/data-policy.html","link_id":1982,"relation":"undefined"}],"grants":[{"id":2597,"fairsharing_record_id":2438,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.221Z","updated_at":"2021-09-30T09:25:49.221Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2596,"fairsharing_record_id":2438,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:49.181Z","updated_at":"2021-09-30T09:25:49.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2598,"fairsharing_record_id":2438,"organisation_id":2910,"relation":"maintains","created_at":"2021-09-30T09:25:49.259Z","updated_at":"2021-09-30T09:25:49.259Z","grant_id":null,"is_lead":true,"saved_state":{"id":2910,"name":"UNAVCO","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2439","type":"fairsharing_records","attributes":{"created_at":"2017-04-19T15:45:15.000Z","updated_at":"2024-03-20T13:12:27.327Z","metadata":{"doi":"10.25504/FAIRsharing.srgkaf","name":"Hardwood Genomics Project","status":"deprecated","contacts":[],"homepage":"http://www.hardwoodgenomics.org/","citations":[],"identifier":2439,"description":"The Hardwood Genomics Project is a databases for expressed genes, genetic markers, genetic linkage maps, and reference populations. It provides lasting genomic and biological resources for the discovery and conservation of genes in hardwood trees for growth, adaptation and responses to environmental stresses such as drought, heat, insect pests and disease. All original sequence data is being deposited in NCBI's Sequence Read Archive and the genetic linkage maps and associated marker data will be available at the Dendrome database.","abbreviation":"HWG","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hardwoodgenomics.org/contact","type":"Contact form"},{"url":"http://www.hardwoodgenomics.org/content/about","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","associated_tools":[{"url":"http://www.hardwoodgenomics.org/content/expression-visualization","name":"Expression Visualization"},{"url":"http://www.hardwoodgenomics.org/blast","name":"BLAST Search"},{"url":"http://www.hardwoodgenomics.org/wa2app/jbrowse/index.html?organism=19","name":"JBrowse - Chinese Chesnut"},{"url":"http://www.hardwoodgenomics.org/wa2app/jbrowse/index.html?organism=231202","name":"JBrowse - English Walnut"},{"url":"http://www.hardwoodgenomics.org/elastic_search","name":"Transcript Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012351","name":"re3data:r3d100012351","portal":"re3data"}],"deprecation_date":"2024-03-20","deprecation_reason":"This resource's functionality has been moved to TreeGenes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000921","bsg-d000921"],"name":"FAIRsharing record for: Hardwood Genomics Project","abbreviation":"HWG","url":"https://fairsharing.org/10.25504/FAIRsharing.srgkaf","doi":"10.25504/FAIRsharing.srgkaf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hardwood Genomics Project is a databases for expressed genes, genetic markers, genetic linkage maps, and reference populations. It provides lasting genomic and biological resources for the discovery and conservation of genes in hardwood trees for growth, adaptation and responses to environmental stresses such as drought, heat, insect pests and disease. All original sequence data is being deposited in NCBI's Sequence Read Archive and the genetic linkage maps and associated marker data will be available at the Dendrome database.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11500},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11623}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Genetic map","Genome map","Expression data","Nucleic acid sequence"],"taxonomies":["Acer saccharum","Alnus rhombifolia","Alnus rubra","Castanea crenata","Castanea dentata","Castanea mollissima","Castanea sativa","Cornus florida","Fagus grandifolia","Fraxinus americana","Fraxinus pennsylvanica","Gleditsia triacanthos","Hydrangea macrophylla","Juglans nigra","Juglans regia","Liquidambar styraciflua","Liriodendron tulipifera","Nyssa sylvatica","Persea borbonia","Prunus serotina","Quercus alba","Quercus robur","Quercus rubra"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8393,"fairsharing_record_id":2439,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:26.227Z","updated_at":"2021-09-30T09:32:26.281Z","grant_id":1619,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1444573","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2599,"fairsharing_record_id":2439,"organisation_id":3136,"relation":"maintains","created_at":"2021-09-30T09:25:49.296Z","updated_at":"2021-09-30T09:25:49.296Z","grant_id":null,"is_lead":false,"saved_state":{"id":3136,"name":"University of Tennessee, Knoxville Department of Entomology and Plant Pathology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2600,"fairsharing_record_id":2439,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.325Z","updated_at":"2021-09-30T09:29:58.466Z","grant_id":494,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1443040","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8231,"fairsharing_record_id":2439,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:39.207Z","updated_at":"2021-09-30T09:31:39.261Z","grant_id":1268,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1025974","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2435","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T19:44:24.000Z","updated_at":"2023-06-23T15:38:03.792Z","metadata":{"doi":"10.25504/FAIRsharing.a833sq","name":"Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"uso@daac.ornl.gov"}],"homepage":"https://daac.ornl.gov","citations":[],"identifier":2435,"description":"The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) mission is to assemble, distribute, and provide data services for a comprehensive archive of terrestrial biogeochemistry and ecological dynamics observations and models to facilitate research, education, and decision-making in support of NASA’s Earth science. The ORNL DAAC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","abbreviation":"ORNL DAAC for Biogeochemical Dynamics","data_curation":{"type":"not found"},"support_links":[{"url":"https://daac-news.ornl.gov/","name":"News","type":"Blog/News"},{"url":"https://daac.ornl.gov/help.shtml","name":"ORNL DAAC Help","type":"Help documentation"},{"url":"https://daac.ornl.gov/datamanagement/","name":"Data Management Guidance","type":"Help documentation"},{"url":"https://daac.ornl.gov/resources/learning/","name":"Learning Resources","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"https://daac.ornl.gov/tools/","name":"List of related tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100000037","name":"re3data:r3d100000037","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://daac.ornl.gov/submit/","type":"controlled","notes":"The data producer must submit an online form to request the acceptance of data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000917","bsg-d000917"],"name":"FAIRsharing record for: Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics","abbreviation":"ORNL DAAC for Biogeochemical Dynamics","url":"https://fairsharing.org/10.25504/FAIRsharing.a833sq","doi":"10.25504/FAIRsharing.a833sq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) mission is to assemble, distribute, and provide data services for a comprehensive archive of terrestrial biogeochemistry and ecological dynamics observations and models to facilitate research, education, and decision-making in support of NASA’s Earth science. The ORNL DAAC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Soil Science","Environmental Science","Forest Management","Ecology","Natural Science","Earth Science","Hydrology"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Cryosphere","Fire Research","Satellite Data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":2175,"relation":"undefined"},{"licence_name":"NIF - SciCrunch Privacy Policy","licence_id":580,"licence_url":"https://neuinfo.org/page/privacy","link_id":2174,"relation":"undefined"}],"grants":[{"id":2589,"fairsharing_record_id":2435,"organisation_id":808,"relation":"maintains","created_at":"2021-09-30T09:25:48.868Z","updated_at":"2021-09-30T09:25:48.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":808,"name":"Earth Science Data and Information System Project (ESDIS), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2587,"fairsharing_record_id":2435,"organisation_id":809,"relation":"maintains","created_at":"2021-09-30T09:25:48.788Z","updated_at":"2021-09-30T09:25:48.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":809,"name":"Earth Science Data Systems (ESDS) Program, Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2588,"fairsharing_record_id":2435,"organisation_id":806,"relation":"maintains","created_at":"2021-09-30T09:25:48.830Z","updated_at":"2021-09-30T09:25:48.830Z","grant_id":null,"is_lead":false,"saved_state":{"id":806,"name":"Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2590,"fairsharing_record_id":2435,"organisation_id":2204,"relation":"maintains","created_at":"2021-09-30T09:25:48.901Z","updated_at":"2021-09-30T09:25:48.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":2204,"name":"Oak Ridge National Laboratory, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2437","type":"fairsharing_records","attributes":{"created_at":"2017-04-19T10:20:30.000Z","updated_at":"2023-12-15T10:30:51.650Z","metadata":{"doi":"10.25504/FAIRsharing.88wme4","name":"OpenTopography","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@opentopography.org"}],"homepage":"https://www.opentopography.org","citations":[],"identifier":2437,"description":"The National Science Foundation funded OpenTopography facilitates community access to high-resolution, Earth science-oriented, topography data, and related tools and resources.","abbreviation":"OpenTopography","data_curation":{"url":"https://opentopography.org/data/contribute","type":"manual"},"support_links":[{"url":"http://www.opentopography.org/blog","type":"Blog/News"},{"url":"https://www.opentopography.org/contact","name":"Contact","type":"Contact form"},{"url":"http://www.opentopography.org/faq-page","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.opentopography.org/start","name":"Getting Started","type":"Help documentation"},{"url":"https://www.opentopography.org/learn/onlinetraining","name":"Online Training","type":"Training documentation"},{"url":"https://twitter.com/OpenTopography","name":"Twitter","type":"Twitter"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://opentopography.org/otsoftware","name":"OpenTopography Open Source Software"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010655","name":"re3data:r3d100010655","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002204","name":"SciCrunch:RRID:SCR_002204","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://opentopography.org/data/contribute","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000919","bsg-d000919"],"name":"FAIRsharing record for: OpenTopography","abbreviation":"OpenTopography","url":"https://fairsharing.org/10.25504/FAIRsharing.88wme4","doi":"10.25504/FAIRsharing.88wme4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Science Foundation funded OpenTopography facilitates community access to high-resolution, Earth science-oriented, topography data, and related tools and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Bathymetry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Bathymetry","lidar","Structure From Motion","Topography"],"countries":["United States"],"publications":[{"id":3070,"pubmed_id":null,"title":"Zero to a trillion: Advancing Earth surface process studies with open access to high-resolution topography","year":2020,"url":"https://doi.org/10.1016/B978-0-444-64177-9.00011-4","authors":"Christopher J. Crosby, J. Ramón Arrowsmith, Viswanath Nandigam","journal":"Developments in Earth Surface Processes","doi":null,"created_at":"2021-09-30T08:28:18.317Z","updated_at":"2021-09-30T08:28:18.317Z"}],"licence_links":[{"licence_name":"Open Topography Privacy Policy","licence_id":634,"licence_url":"http://www.opentopography.org/privacypolicy","link_id":2177,"relation":"undefined"},{"licence_name":"Open Topography Terms of Use","licence_id":635,"licence_url":"http://www.opentopography.org/usageterms","link_id":2178,"relation":"undefined"}],"grants":[{"id":2594,"fairsharing_record_id":2437,"organisation_id":2910,"relation":"maintains","created_at":"2021-09-30T09:25:49.097Z","updated_at":"2021-09-30T09:25:49.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":2910,"name":"UNAVCO","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8014,"fairsharing_record_id":2437,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:23.627Z","updated_at":"2021-09-30T09:30:23.679Z","grant_id":692,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948997","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2592,"fairsharing_record_id":2437,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:25:48.976Z","updated_at":"2021-09-30T09:25:48.976Z","grant_id":null,"is_lead":true,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2595,"fairsharing_record_id":2437,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:25:49.139Z","updated_at":"2021-09-30T09:25:49.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2593,"fairsharing_record_id":2437,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.009Z","updated_at":"2021-09-30T09:28:57.694Z","grant_id":32,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948857","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7979,"fairsharing_record_id":2437,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:13.783Z","updated_at":"2021-09-30T09:30:13.826Z","grant_id":610,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948994","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2417","type":"fairsharing_records","attributes":{"created_at":"2017-04-07T19:50:47.000Z","updated_at":"2023-12-15T10:31:08.982Z","metadata":{"doi":"10.25504/FAIRsharing.xj7m8y","name":"Natural Environmental Research Council Data Catalogue Service","status":"ready","contacts":[{"contact_name":"NERC Environmental Data Service","contact_email":"data@nerc.ukri.org","contact_orcid":null}],"homepage":"https://data-search.nerc.ac.uk/geonetwork/srv/ger/catalog.search#/home","citations":[],"identifier":2417,"description":"A compendium of the United Kingdom's largest repository of Environmental and Earth Science data.","abbreviation":"NERC Data Catalogue Service","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NERCscience","name":"@NERCscience","type":"Twitter"},{"url":"data@nerc.ukri.org.uk","name":"NERC Environmental Data Service Help Desk","type":"Support email"},{"url":"https://eds.ukri.org/services/support","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010558","name":"re3data:r3d100010558","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000899","bsg-d000899"],"name":"FAIRsharing record for: Natural Environmental Research Council Data Catalogue Service","abbreviation":"NERC Data Catalogue Service","url":"https://fairsharing.org/10.25504/FAIRsharing.xj7m8y","doi":"10.25504/FAIRsharing.xj7m8y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A compendium of the United Kingdom's largest repository of Environmental and Earth Science data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Meteorology","Earth Science","Atmospheric Science","Oceanography","Hydrology"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Cryosphere"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"NERC Terms and Conditions","licence_id":571,"licence_url":"http://www.nerc.ac.uk/site/terms/","link_id":1502,"relation":"undefined"}],"grants":[{"id":2542,"fairsharing_record_id":2417,"organisation_id":462,"relation":"maintains","created_at":"2021-09-30T09:25:47.158Z","updated_at":"2022-04-26T10:50:16.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":462,"name":"Centre for Environmental Data Analysis (CEDA)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2541,"fairsharing_record_id":2417,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:47.121Z","updated_at":"2021-09-30T09:25:47.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9267,"fairsharing_record_id":2417,"organisation_id":2902,"relation":"funds","created_at":"2022-04-11T12:07:26.591Z","updated_at":"2022-04-11T12:07:26.591Z","grant_id":null,"is_lead":false,"saved_state":{"id":2902,"name":"UK Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9460,"fairsharing_record_id":2417,"organisation_id":3488,"relation":"maintains","created_at":"2022-04-26T10:50:16.623Z","updated_at":"2022-04-26T10:50:16.623Z","grant_id":null,"is_lead":true,"saved_state":{"id":3488,"name":"NERC Environmental Data Service","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYTA9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e37a69468ae36c5bb3afe91b8281d797fa88fa1a/eds_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2418","type":"fairsharing_records","attributes":{"created_at":"2017-04-12T20:03:25.000Z","updated_at":"2023-12-15T10:32:23.485Z","metadata":{"doi":"10.25504/FAIRsharing.6cdn9x","name":"Earthref.org","status":"ready","contacts":[{"contact_name":"Hubert Staudigel","contact_email":"hstaudigel@ucsd.edu"}],"homepage":"https://earthref.org","identifier":2418,"description":"Earthref.org is a compilation of of databases, networks and repositories for data and models on Earth science. This internet resource supports the quantitative understanding of the Earth as a chemical, physical and biological system.","abbreviation":"Earthref.org","data_curation":{"url":"https://www2.earthref.org/MagIC/contact","type":"manual"},"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www2.earthref.org/MagIC/upload","type":"open","notes":"Data can be uploaded from a private workplace."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000900","bsg-d000900"],"name":"FAIRsharing record for: Earthref.org","abbreviation":"Earthref.org","url":"https://fairsharing.org/10.25504/FAIRsharing.6cdn9x","doi":"10.25504/FAIRsharing.6cdn9x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Earthref.org is a compilation of of databases, networks and repositories for data and models on Earth science. This internet resource supports the quantitative understanding of the Earth as a chemical, physical and biological system.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":384,"relation":"undefined"}],"grants":[{"id":2543,"fairsharing_record_id":2418,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.196Z","updated_at":"2021-09-30T09:32:25.987Z","grant_id":1617,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR 0000998","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2544,"fairsharing_record_id":2418,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:25:47.234Z","updated_at":"2021-09-30T09:25:47.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2545,"fairsharing_record_id":2418,"organisation_id":2530,"relation":"maintains","created_at":"2021-09-30T09:25:47.271Z","updated_at":"2021-09-30T09:25:47.271Z","grant_id":null,"is_lead":false,"saved_state":{"id":2530,"name":"Scripps Institution of Oceanography, University of California San Diego, US","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2546,"fairsharing_record_id":2418,"organisation_id":555,"relation":"maintains","created_at":"2021-09-30T09:25:47.310Z","updated_at":"2021-09-30T09:25:47.310Z","grant_id":null,"is_lead":false,"saved_state":{"id":555,"name":"College of Earth, Ocean and Atmospheric Science, Oregon State University, Corvallis, OR, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2419","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T12:03:41.000Z","updated_at":"2022-12-23T14:15:28.402Z","metadata":{"doi":"10.25504/FAIRsharing.j1eyq2","name":"mentha","status":"deprecated","contacts":[{"contact_name":"Alberto Calderone","contact_email":"sinnefa@gmail.com"}],"homepage":"http://mentha.uniroma2.it/","citations":[],"identifier":2419,"description":"mentha archives evidence collected from different sources and presents these data in a complete and comprehensive way. Its data comes from manually curated protein-protein interaction databases that have adhered to the IMEx consortium. The aggregated data forms an interactome which includes many organisms. mentha is a resource that offers a series of tools to analyse selected proteins in the context of a network of interactions.","abbreviation":"mentha","data_curation":{},"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://mentha.uniroma2.it/beta-tools/index.php","name":"mentha tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011124","name":"re3data:r3d100011124","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_016148","name":"SciCrunch:RRID:SCR_016148","portal":"SciCrunch"}],"deprecation_date":"2022-12-23","deprecation_reason":"Homepage message : Mentha is temporarily undergoing maintenance. Data might not be up to date. Please visit MINT or our new database Signor","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000901","bsg-d000901"],"name":"FAIRsharing record for: mentha","abbreviation":"mentha","url":"https://fairsharing.org/10.25504/FAIRsharing.j1eyq2","doi":"10.25504/FAIRsharing.j1eyq2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mentha archives evidence collected from different sources and presents these data in a complete and comprehensive way. Its data comes from manually curated protein-protein interaction databases that have adhered to the IMEx consortium. The aggregated data forms an interactome which includes many organisms. mentha is a resource that offers a series of tools to analyse selected proteins in the context of a network of interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Proteomics"],"domains":["Protein domain","Protein interaction","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1507,"pubmed_id":23900247,"title":"mentha: a resource for browsing integrated protein-interaction networks.","year":2013,"url":"http://doi.org/10.1038/nmeth.2561","authors":"Calderone A, Castagnoli L, Cesareni G.","journal":"Nat Methods","doi":"10.1038/nmeth.2561","created_at":"2021-09-30T08:25:08.703Z","updated_at":"2021-09-30T08:25:08.703Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2443","type":"fairsharing_records","attributes":{"created_at":"2017-04-21T11:16:10.000Z","updated_at":"2023-12-15T10:31:19.821Z","metadata":{"doi":"10.25504/FAIRsharing.86302v","name":"British Geological Survey GeoScenic","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"enquiries@bgs.ac.uk"}],"homepage":"http://geoscenic.bgs.ac.uk/asset-bank/action/viewHome","citations":[],"identifier":2443,"description":"A national archive of geological photographs freely available to the public.","abbreviation":"BGS GeoScenic","data_curation":{"type":"none"},"support_links":[{"url":"https://support.assetbank.co.uk/hc/en-gb","name":"Support","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010410","name":"re3data:r3d100010410","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000925","bsg-d000925"],"name":"FAIRsharing record for: British Geological Survey GeoScenic","abbreviation":"BGS GeoScenic","url":"https://fairsharing.org/10.25504/FAIRsharing.86302v","doi":"10.25504/FAIRsharing.86302v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A national archive of geological photographs freely available to the public.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BGS Privacy Policy","licence_id":72,"licence_url":"http://www.bgs.ac.uk/help/privacy.html","link_id":1401,"relation":"undefined"},{"licence_name":"Geoscenic Terms and Conditions","licence_id":338,"licence_url":"http://geoscenic.bgs.ac.uk/asset-bank/action/viewConditions","link_id":1416,"relation":"undefined"}],"grants":[{"id":2606,"fairsharing_record_id":2443,"organisation_id":315,"relation":"maintains","created_at":"2021-09-30T09:25:49.514Z","updated_at":"2021-09-30T09:25:49.514Z","grant_id":null,"is_lead":false,"saved_state":{"id":315,"name":"British Geological Survey","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2444","type":"fairsharing_records","attributes":{"created_at":"2017-04-21T11:50:46.000Z","updated_at":"2022-07-20T12:36:14.418Z","metadata":{"doi":"10.25504/FAIRsharing.eacagy","name":"NERC British Atmospheric Data Centre Data Archive","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"support@ceda.ac.uk"}],"homepage":"https://badc.nerc.ac.uk/home/index.html","identifier":2444,"description":"The British Atmospheric Data Centre (BADC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Atmospheric Sciences. The role of the BADC is to assist UK atmospheric researchers to locate, access and interpret atmospheric data and to ensure the long-term integrity of atmospheric data produced by NERC projects.","abbreviation":"BADC","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2019-06-12","deprecation_reason":"Since November 2016, the functions of the British Atmospheric Data Centre (BADC) and the NERC Earth Observation Data Centre (NEODC) data centres are operated by the CEDA Archive (http://www.ceda.ac.uk/data-centres/).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000926","bsg-d000926"],"name":"FAIRsharing record for: NERC British Atmospheric Data Centre Data Archive","abbreviation":"BADC","url":"https://fairsharing.org/10.25504/FAIRsharing.eacagy","doi":"10.25504/FAIRsharing.eacagy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The British Atmospheric Data Centre (BADC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Atmospheric Sciences. The role of the BADC is to assist UK atmospheric researchers to locate, access and interpret atmospheric data and to ensure the long-term integrity of atmospheric data produced by NERC projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":2607,"fairsharing_record_id":2444,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:49.555Z","updated_at":"2021-09-30T09:25:49.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2608,"fairsharing_record_id":2444,"organisation_id":2519,"relation":"maintains","created_at":"2021-09-30T09:25:49.594Z","updated_at":"2021-09-30T09:25:49.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2421","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T17:13:33.000Z","updated_at":"2023-12-15T10:31:10.940Z","metadata":{"doi":"10.25504/FAIRsharing.yfk79s","name":"Fluxdata","status":"ready","contacts":[{"contact_name":"General Support","contact_email":"fluxdata-support@fluxdata.org"}],"homepage":"https://fluxnet.org/","citations":[],"identifier":2421,"description":"A data portal for the Fluxnet community across the globe which supports the access to and sharing of data on the eddy covariance flux measurements of carbon, water vapor and energy exchange.","abbreviation":"Fluxdata","data_curation":{"type":"none"},"support_links":[{"url":"http://fluxnet.fluxdata.org/community/blog/","type":"Blog/News"}],"year_creation":1997,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011506","name":"re3data:r3d100011506","portal":"re3data"}],"data_access_condition":{"url":"https://fluxnet.org/login/?redirect_to=/data/download-data/","type":"open","notes":"Registration required"},"data_contact_information":"not found","data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000903","bsg-d000903"],"name":"FAIRsharing record for: Fluxdata","abbreviation":"Fluxdata","url":"https://fairsharing.org/10.25504/FAIRsharing.yfk79s","doi":"10.25504/FAIRsharing.yfk79s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A data portal for the Fluxnet community across the globe which supports the access to and sharing of data on the eddy covariance flux measurements of carbon, water vapor and energy exchange.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","Brazil","Canada","China","United States","European Union"],"publications":[{"id":1520,"pubmed_id":28066093,"title":"On the energy balance closure and net radiation in complex terrain.","year":2017,"url":"http://doi.org/10.1016/j.agrformet.2016.05.012","authors":"Wohlfahrt G,Hammerle A,Niedrist G,Scholz K,Tomelleri E,Zhao P","journal":"Agric For Meteorol","doi":"10.1016/j.agrformet.2016.05.012","created_at":"2021-09-30T08:25:10.168Z","updated_at":"2021-09-30T08:25:10.168Z"}],"licence_links":[{"licence_name":"FLUXNET2015 Data Policy","licence_id":319,"licence_url":"http://fluxnet.fluxdata.org/data/data-policy/","link_id":975,"relation":"undefined"}],"grants":[{"id":2551,"fairsharing_record_id":2421,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:25:47.477Z","updated_at":"2021-09-30T09:25:47.477Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9407,"fairsharing_record_id":2421,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.285Z","updated_at":"2022-04-11T12:07:36.285Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2423","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T21:29:13.000Z","updated_at":"2024-07-08T11:03:25.551Z","metadata":{"doi":"10.25504/FAIRsharing.be9dj8","name":"Interdisciplinary Earth Data Alliance","status":"deprecated","contacts":[{"contact_name":"Kerstin Lehnert","contact_email":"lehnert@ldeo.columbia.edu","contact_orcid":"0000-0001-7036-1977"}],"homepage":"https://www.iedadata.org/","citations":[],"identifier":2423,"description":"IEDA systems serve as primary community data collections for global geochemistry and marine Geoscience research to support the preservation, discovery, retrieval, and analysis of a wide range of observational field and analytical data types, enabling these data to be discovered and reused by a diverse community now and in the future. IEDA provides free and open access to all data holdings.","abbreviation":"IEDA","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.iedadata.org/news/","name":"News","type":"Blog/News"},{"url":"info@iedadata.org","type":"Support email"},{"url":"https://www.iedadata.org/frequently-asked-questions/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.iedadata.org/help/","type":"Help documentation"},{"url":"https://www.iedadata.org/help/data-management-overview/","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"http://www.geomapapp.org/","name":"GeoMapApp 3.6.10"},{"url":"https://www.gmrt.org/GMRTMapTool/","name":"GMRT MapTool"},{"url":"https://www.iedadata.org/dmp/","name":"Data Management Plan (DMP) Tool"},{"url":"http://app.iedadata.org/dcr/report.php","name":"Data Compliance Reporting Tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010578","name":"re3data:r3d100010578","portal":"re3data"}],"deprecation_date":"2024-07-08","deprecation_reason":"Data is accessible through EarthChem, LEPR/traceDs and SESAR.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000905","bsg-d000905"],"name":"FAIRsharing record for: Interdisciplinary Earth Data Alliance","abbreviation":"IEDA","url":"https://fairsharing.org/10.25504/FAIRsharing.be9dj8","doi":"10.25504/FAIRsharing.be9dj8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IEDA systems serve as primary community data collections for global geochemistry and marine Geoscience research to support the preservation, discovery, retrieval, and analysis of a wide range of observational field and analytical data types, enabling these data to be discovered and reused by a diverse community now and in the future. IEDA provides free and open access to all data holdings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2556,"fairsharing_record_id":2423,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.646Z","updated_at":"2021-09-30T09:25:47.646Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2555,"fairsharing_record_id":2423,"organisation_id":1763,"relation":"maintains","created_at":"2021-09-30T09:25:47.604Z","updated_at":"2021-09-30T09:25:47.604Z","grant_id":null,"is_lead":false,"saved_state":{"id":1763,"name":"Marine Geoscience Data System, Palisades NY, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2557,"fairsharing_record_id":2423,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:47.684Z","updated_at":"2021-09-30T09:25:47.684Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2558,"fairsharing_record_id":2423,"organisation_id":803,"relation":"maintains","created_at":"2021-09-30T09:25:47.720Z","updated_at":"2021-09-30T09:25:47.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":803,"name":"EarthChem, Palisades, NY, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2424","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T21:47:43.000Z","updated_at":"2024-07-08T11:03:18.043Z","metadata":{"doi":"10.25504/FAIRsharing.ne5dn7","name":"EarthChem","status":"ready","contacts":[{"contact_name":"Kerstin Lehnert","contact_email":"lehnert@ldeo.columbia.edu","contact_orcid":"0000-0001-7036-1977"}],"homepage":"http://www.earthchem.org","citations":[{"publication_id":2695}],"identifier":2424,"description":"EarthChem develops and maintains databases, software, and services that support the preservation, discovery, access and analysis of geochemical data, and facilitate their integration with the broad array of other available earth science parameters. The EarthChem Portal stores geochemical data, provides a variety of search, visualization, and output formatting options, and is interoperable with the LEPR database and the MELTS software. EarthChem Library is a data repository that archives, publishes and makes accessible data and other digital content from geoscience research.","abbreviation":"EarthChem","data_curation":{"url":"https://www.earthchem.org/ecl/policies/","type":"manual","notes":"The EarthChem Library conducts a review for quality of sample and analytical metadata"},"support_links":[{"url":"https://www.facebook.com/EarthChem","name":"Facebook","type":"Facebook"},{"url":"http://www.earthchem.org/news","name":"News","type":"Blog/News"},{"url":"info@earthchem.org","name":"General Contact","type":"Support email"},{"url":"https://earthchem.org/resources/support/","name":"Tutorials \u0026 FAQs","type":"Help documentation"},{"url":"http://www.earthchem.org/about/statistics","name":"Statistics","type":"Help documentation"},{"url":"http://www.earthchem.org/library/releasenotes","name":"Release notes","type":"Help documentation"},{"url":"http://www.earthchem.org/overview","name":"About","type":"Help documentation"},{"url":"https://twitter.com/EarthChem","name":"@EarthChem","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011538","name":"re3data:r3d100011538","portal":"re3data"}],"data_access_condition":{"url":"https://www.earthchem.org/ecl/policies/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.earthchem.org/ecl/submission-guidelines/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000906","bsg-d000906"],"name":"FAIRsharing record for: EarthChem","abbreviation":"EarthChem","url":"https://fairsharing.org/10.25504/FAIRsharing.ne5dn7","doi":"10.25504/FAIRsharing.ne5dn7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EarthChem develops and maintains databases, software, and services that support the preservation, discovery, access and analysis of geochemical data, and facilitate their integration with the broad array of other available earth science parameters. The EarthChem Portal stores geochemical data, provides a variety of search, visualization, and output formatting options, and is interoperable with the LEPR database and the MELTS software. EarthChem Library is a data repository that archives, publishes and makes accessible data and other digital content from geoscience research.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11786}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Geochemistry","Environmental Science","Chemistry","Natural Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2695,"pubmed_id":null,"title":"A global geochemical database structure for rocks","year":2000,"url":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/1999GC000026","authors":"K. Lehnert Y. Su C. H. Langmuir B. Sarbas U. Nohl","journal":"Geochemistry, Geophysics, Geosystems","doi":null,"created_at":"2021-09-30T08:27:30.971Z","updated_at":"2021-09-30T08:27:30.971Z"}],"licence_links":[{"licence_name":"EarthChem Terms of Use","licence_id":255,"licence_url":"http://www.earthchem.org/about/terms","link_id":490,"relation":"undefined"}],"grants":[{"id":2559,"fairsharing_record_id":2424,"organisation_id":1466,"relation":"maintains","created_at":"2021-09-30T09:25:47.749Z","updated_at":"2021-09-30T09:25:47.749Z","grant_id":null,"is_lead":false,"saved_state":{"id":1466,"name":"Interdisciplinary Earth Data Alliance (IEDA), Palisades, NY, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2561,"fairsharing_record_id":2424,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:47.804Z","updated_at":"2021-09-30T09:25:47.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2560,"fairsharing_record_id":2424,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.774Z","updated_at":"2021-09-30T09:29:47.498Z","grant_id":405,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948806","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBamNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d2525f35f853f763e045724cfee3d7f405ff102f/Screenshot%20from%202022-12-17%2010-44-03.png?disposition=inline","exhaustive_licences":false}},{"id":"2425","type":"fairsharing_records","attributes":{"created_at":"2017-04-15T10:41:28.000Z","updated_at":"2023-06-22T16:24:45.397Z","metadata":{"doi":"10.25504/FAIRsharing.9enwm8","name":"Marine Geoscience Data System","status":"ready","contacts":[{"contact_name":"General information","contact_email":"info@marine-geo.org"}],"homepage":"http://www.marine-geo.org/index.php","citations":[],"identifier":2425,"description":"The Marine Geoscience Data System (MGDS) is a data repository providing free public access to a curated collection of marine geophysical data products and complementary data related to understanding the formation and evolution of the seafloor and sub-seafloor.","abbreviation":"MGDS","data_curation":{"url":"https://www.marine-geo.org/about/overview.php","type":"manual"},"support_links":[{"url":"http://www.marine-geo.org/help/index.php","type":"Help documentation"},{"url":"http://www.marine-geo.org/education/modules.php","type":"Training documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://www.geomapapp.org/","name":"GeoMapApp 3.6.10"},{"url":"http://www.virtualocean.org/","name":"Virtual Ocean 2.6.0"},{"url":"http://www.earth-observer.org/","name":"EarthObserver 2.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010273","name":"re3data:r3d100010273","portal":"re3data"}],"data_access_condition":{"url":"https://www.marine-geo.org/about/overview.php","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.marine-geo.org/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000907","bsg-d000907"],"name":"FAIRsharing record for: Marine Geoscience Data System","abbreviation":"MGDS","url":"https://fairsharing.org/10.25504/FAIRsharing.9enwm8","doi":"10.25504/FAIRsharing.9enwm8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Marine Geoscience Data System (MGDS) is a data repository providing free public access to a curated collection of marine geophysical data products and complementary data related to understanding the formation and evolution of the seafloor and sub-seafloor.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Natural Science","Earth Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States (CC BY-NC-SA 3.0 US)","licence_id":185,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/us/","link_id":55,"relation":"undefined"},{"licence_name":"MGDS Terms of Use","licence_id":509,"licence_url":"http://www.marine-geo.org/about/terms_of_use.php","link_id":53,"relation":"undefined"}],"grants":[{"id":2562,"fairsharing_record_id":2425,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.842Z","updated_at":"2021-09-30T09:25:47.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2563,"fairsharing_record_id":2425,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:47.888Z","updated_at":"2021-09-30T09:25:47.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcFFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6d3ce8c4bbc81a3c009d86ec5fec016bce317946/mgdslogofull.png?disposition=inline","exhaustive_licences":true}},{"id":"2426","type":"fairsharing_records","attributes":{"created_at":"2017-04-15T11:14:00.000Z","updated_at":"2023-12-15T10:31:31.398Z","metadata":{"doi":"10.25504/FAIRsharing.x9rqf7","name":"Incorporated Research Institutions for Seismology Data","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"webmaster@iris.edu"}],"homepage":"http://ds.iris.edu/ds/nodes/dmc/data/#","citations":[],"identifier":2426,"description":"IRIS provides management of, and access to, observed and derived data for the global earth science community. IRIS membership comprises virtually all US universities with research programs in seismology, and is dedicated to the operation of science facilities for the acquisition, management, and distribution of seismological data. IRIS programs contribute to scholarly research, education, earthquake hazard mitigation, and verification of the Comprehensive Nuclear-Test-Ban Treaty.","abbreviation":"IRIS Data","data_curation":{"url":"https://www.iris.edu/hq/sage","type":"manual/automated","notes":"\"SAGE Data Services (DS) is the world’s largest facility for the archiving, curation, and distribution of seismological and other geophysical research data and data products.\""},"support_links":[{"url":"http://www.iris.edu/hq/about_iris/faqs","name":"IRIS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ds.iris.edu/ds/nodes/dmc/quality-assurance/","name":"Quality Assurance at IRIS","type":"Help documentation"},{"url":"https://www.iris.edu/hq/programs/epo/about","name":"Education and Outreach","type":"Training documentation"},{"url":"https://twitter.com/IRIS_quakes","name":"@IRIS_quakes","type":"Twitter"},{"url":"https://twitter.com/IRIS_EPO","name":"@IRIS_EPO","type":"Twitter"},{"url":"https://twitter.com/IRIS_temblor","name":"@IRIS_temblor","type":"Twitter"}],"year_creation":1994,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010268","name":"re3data:r3d100010268","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002201","name":"SciCrunch:RRID:SCR_002201","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ds.iris.edu/ds/nodes/dmc/data/#submitting","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000908","bsg-d000908"],"name":"FAIRsharing record for: Incorporated Research Institutions for Seismology Data","abbreviation":"IRIS Data","url":"https://fairsharing.org/10.25504/FAIRsharing.x9rqf7","doi":"10.25504/FAIRsharing.x9rqf7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IRIS provides management of, and access to, observed and derived data for the global earth science community. IRIS membership comprises virtually all US universities with research programs in seismology, and is dedicated to the operation of science facilities for the acquisition, management, and distribution of seismological data. IRIS programs contribute to scholarly research, education, earthquake hazard mitigation, and verification of the Comprehensive Nuclear-Test-Ban Treaty.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Seismology"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2564,"fairsharing_record_id":2426,"organisation_id":1323,"relation":"maintains","created_at":"2021-09-30T09:25:47.925Z","updated_at":"2021-09-30T09:25:47.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":1323,"name":"Incorporated Research Institutions for Seismology (IRIS), Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2565,"fairsharing_record_id":2426,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.963Z","updated_at":"2021-09-30T09:25:47.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2445","type":"fairsharing_records","attributes":{"created_at":"2017-04-21T12:21:40.000Z","updated_at":"2023-12-15T10:32:43.661Z","metadata":{"doi":"10.25504/FAIRsharing.tj9xv0","name":"NERC British Oceanographic Data Centre Data Archive","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"enquiries@bodc.ac.uk"}],"homepage":"http://www.bodc.ac.uk","identifier":2445,"description":"BODC makes available biological, chemical, physical and geophysical data on the marine environment.","abbreviation":"BODC","data_curation":{"url":"https://www.bodc.ac.uk/resources/help_and_hints/faq/","type":"manual"},"support_links":[{"url":"https://www.bodc.ac.uk/resources/help_and_hints/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.bodc.ac.uk/resources/help_and_hints/","type":"Help documentation"},{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"},{"url":"https://www.bodc.ac.uk/about/#","name":"About","type":"Help documentation"}],"year_creation":1989,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010192","name":"re3data:r3d100010192","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.bodc.ac.uk/submit_data/submission_guidelines/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000927","bsg-d000927"],"name":"FAIRsharing record for: NERC British Oceanographic Data Centre Data Archive","abbreviation":"BODC","url":"https://fairsharing.org/10.25504/FAIRsharing.tj9xv0","doi":"10.25504/FAIRsharing.tj9xv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BODC makes available biological, chemical, physical and geophysical data on the marine environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geochemistry","Environmental Science","Geophysics","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BODC Privacy Policy","licence_id":85,"licence_url":"https://www.bodc.ac.uk/resources/help_and_hints/using_this_web_site/privacy/","link_id":1173,"relation":"undefined"}],"grants":[{"id":2609,"fairsharing_record_id":2445,"organisation_id":2057,"relation":"maintains","created_at":"2021-09-30T09:25:49.628Z","updated_at":"2021-09-30T09:25:49.628Z","grant_id":null,"is_lead":true,"saved_state":{"id":2057,"name":"National Oceanographic Centre (NOC), Liverpool Site, Liverpool, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2691","type":"fairsharing_records","attributes":{"created_at":"2018-10-30T14:18:58.000Z","updated_at":"2023-06-23T15:15:03.661Z","metadata":{"doi":"10.25504/FAIRsharing.A0ozDj","name":"Genome Properties","status":"ready","contacts":[{"contact_name":"Lorna Richardson","contact_email":"GenProp@ebi.ac.uk","contact_orcid":"0000-0002-3655-5660"}],"homepage":"https://www.ebi.ac.uk/interpro/genomeproperties","citations":[{"doi":"10.1093/nar/gky1013","pubmed_id":30364992,"publication_id":2762}],"identifier":2691,"description":"Genome properties is an annotation system whereby functional attributes can be assigned to a genome, based on the presence of a defined set of protein signatures within that genome. This is a reimplementation at EMBL-EBI of a resource previously hosted at JCVI.","abbreviation":"Genome Properties","data_curation":{"url":"https://github.com/ebi-pf-team/genome-properties/blob/master/README.md","type":"automated"},"support_links":[{"url":"GenProp@ebi.ac.uk","name":"Genome properties helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/interpro/genomeproperties/#about","name":"About Genome properties","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/genome-properties-quick-tour","name":"Genome properties quick tour","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/genome-properties-tutorial","name":"Genome properties tutorial","type":"Training documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://genome-properties.readthedocs.io/en/latest/contributing.html","type":"open","notes":"Prior contact should be made by email, there are no standardised data deposition conditions."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001188","bsg-d001188"],"name":"FAIRsharing record for: Genome Properties","abbreviation":"Genome Properties","url":"https://fairsharing.org/10.25504/FAIRsharing.A0ozDj","doi":"10.25504/FAIRsharing.A0ozDj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genome properties is an annotation system whereby functional attributes can be assigned to a genome, based on the presence of a defined set of protein signatures within that genome. This is a reimplementation at EMBL-EBI of a resource previously hosted at JCVI.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12820}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics"],"domains":["Sequence annotation","Genome annotation","Computational biological predictions","Gene functional annotation","Function analysis","Proteome","Protein-containing complex","Homologous","Genome"],"taxonomies":["All"],"user_defined_tags":["protein homology","proteome annotation"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":398,"pubmed_id":23197656,"title":"TIGRFAMs and Genome Properties in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1234","authors":"Haft DH,Selengut JD,Richter RA,Harkins D,Basu MK,Beck E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1234","created_at":"2021-09-30T08:23:03.256Z","updated_at":"2021-09-30T11:28:46.317Z"},{"id":409,"pubmed_id":17151080,"title":"TIGRFAMs and Genome Properties: tools for the assignment of molecular function and biological process in prokaryotic genomes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1043","authors":"Selengut JD., Haft DH., Davidsen T., Ganapathy A., Gwinn-Giglio M., Nelson WC., Richter AR., White O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1043","created_at":"2021-09-30T08:23:04.426Z","updated_at":"2021-09-30T08:23:04.426Z"},{"id":2762,"pubmed_id":30364992,"title":"Genome properties in 2019: a new companion database to InterPro for the inference of complete functional attributes.","year":2018,"url":"http://doi.org/10.1093/nar/gky1013","authors":"Richardson LJ,Rawlings ND,Salazar GA,Almeida A,Haft DR,Ducq G,Sutton GG,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1013","created_at":"2021-09-30T08:27:39.493Z","updated_at":"2021-09-30T11:29:43.129Z"},{"id":2763,"pubmed_id":15347579,"title":"Genome Properties: a system for the investigation of prokaryotic genetic content for microbiology, genome annotation and comparative genomics.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bti015","authors":"Haft DH,Selengut JD,Brinkac LM,Zafar N,White O","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti015","created_at":"2021-09-30T08:27:39.604Z","updated_at":"2021-09-30T08:27:39.604Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":735,"relation":"undefined"}],"grants":[{"id":3213,"fairsharing_record_id":2691,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:26:10.279Z","updated_at":"2021-09-30T09:26:10.279Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3214,"fairsharing_record_id":2691,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:10.321Z","updated_at":"2021-09-30T09:32:11.777Z","grant_id":1511,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458808","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3212,"fairsharing_record_id":2691,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:10.237Z","updated_at":"2021-09-30T09:26:10.237Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3215,"fairsharing_record_id":2691,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:10.362Z","updated_at":"2021-09-30T09:26:10.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2692","type":"fairsharing_records","attributes":{"created_at":"2018-10-31T07:56:38.000Z","updated_at":"2023-06-23T15:06:56.247Z","metadata":{"doi":"10.25504/FAIRsharing.ltyo8e","name":"Visual Media Service","status":"ready","contacts":[{"contact_name":"Roberto Scopigno","contact_email":"r.scopigno@isti.cnr.it","contact_orcid":"0000-0002-7457-7473"}],"homepage":"http://visual.ariadne-infrastructure.eu/","citations":[],"identifier":2692,"description":"The aim of the Visual Media Service is to provide CH researchers with an automatic system to publish on the web, search, visualize and analyze images and 3D models in a common workspace, enabling sharing, interoperability and reuse of visual data. Visual Media Service enables the easy publication and visualization on the web of high-resolution 2D images, RTI (Reflection Transformation Images) and 3D models.","abbreviation":"VisMS","data_curation":{"type":"none"},"support_links":[{"url":"ponchio@isti.cnr.it","name":"Federico Ponchio, CNR-ISTI","type":"Support email"},{"url":"http://visual.ariadne-infrastructure.eu/help","name":"Help on line","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"url":"Free login is required to upload the images.","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001189","bsg-d001189"],"name":"FAIRsharing record for: Visual Media Service","abbreviation":"VisMS","url":"https://fairsharing.org/10.25504/FAIRsharing.ltyo8e","doi":"10.25504/FAIRsharing.ltyo8e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of the Visual Media Service is to provide CH researchers with an automatic system to publish on the web, search, visualize and analyze images and 3D models in a common workspace, enabling sharing, interoperability and reuse of visual data. Visual Media Service enables the easy publication and visualization on the web of high-resolution 2D images, RTI (Reflection Transformation Images) and 3D models.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Culture","Humanities","Natural Science","History","Data Visualization"],"domains":["Imaging"],"taxonomies":[],"user_defined_tags":["image processing"],"countries":["Italy"],"publications":[],"licence_links":[],"grants":[{"id":3216,"fairsharing_record_id":2692,"organisation_id":1568,"relation":"maintains","created_at":"2021-09-30T09:26:10.400Z","updated_at":"2021-09-30T09:26:10.400Z","grant_id":null,"is_lead":true,"saved_state":{"id":1568,"name":"Italian National Research Council (CNR), Istituto di Scienza e Tecnologie dell'Informazione (ISTI), Italy","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":3217,"fairsharing_record_id":2692,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:26:10.437Z","updated_at":"2021-09-30T09:29:26.263Z","grant_id":250,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654119 (EC PARTHENOS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7938,"fairsharing_record_id":2692,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:29:56.508Z","updated_at":"2021-09-30T09:29:56.618Z","grant_id":479,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"739563 (EOSC Pilot)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2693","type":"fairsharing_records","attributes":{"created_at":"2018-10-31T20:46:57.000Z","updated_at":"2023-06-23T10:51:51.268Z","metadata":{"doi":"10.25504/FAIRsharing.78f3ff","name":"UKEOF Catalogue","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"office@ukeof.org.uk"}],"homepage":"https://catalogue.ukeof.org.uk","citations":[],"identifier":2693,"description":"This catalogue provides United Kingdom environmental observations.","abbreviation":"UKEOF Catalogue","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ukeof.org.uk/","name":"Environmental Observation Framework","type":"Other"},{"url":"https://twitter.com/UKEnvObs/","name":"@UKEnvObs","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"url":"https://www.ukeof.org.uk/catalogue/conditions","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ukeof.org.uk/documents/20150203UKEOFCatalogueleaflet.pdf","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001190","bsg-d001190"],"name":"FAIRsharing record for: UKEOF Catalogue","abbreviation":"UKEOF Catalogue","url":"https://fairsharing.org/10.25504/FAIRsharing.78f3ff","doi":"10.25504/FAIRsharing.78f3ff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This catalogue provides United Kingdom environmental observations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Geology","Earth Science","Freshwater Science","Oceanography","Water Research"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Grassland Research"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Government Licence (OGL)","licence_id":628,"licence_url":"http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/","link_id":1610,"relation":"undefined"}],"grants":[{"id":3218,"fairsharing_record_id":2693,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:26:10.479Z","updated_at":"2021-09-30T09:26:10.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3219,"fairsharing_record_id":2693,"organisation_id":2896,"relation":"maintains","created_at":"2021-09-30T09:26:10.521Z","updated_at":"2021-09-30T09:26:10.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2896,"name":"UK Environmental Observations Framework","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3220,"fairsharing_record_id":2693,"organisation_id":664,"relation":"funds","created_at":"2021-09-30T09:26:10.559Z","updated_at":"2021-09-30T09:26:10.559Z","grant_id":null,"is_lead":false,"saved_state":{"id":664,"name":"Department for Environment, Food \u0026 Rural Affairs, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2694","type":"fairsharing_records","attributes":{"created_at":"2018-10-31T21:47:15.000Z","updated_at":"2023-06-23T15:43:30.999Z","metadata":{"doi":"10.25504/FAIRsharing.2c8e7e","name":"CHD7 Database","status":"ready","contacts":[{"contact_name":"Nicole Corsten-Janssen","contact_email":"charge@umcg.nl","contact_orcid":"0000-0002-9438-2374"}],"homepage":"https://www.chd7.org/","identifier":2694,"description":"The CHD7 database contains locus-specific, anonymised mutation data on both published and unpublished variants of the CHD7 gene related to the CHARGE syndrome phenotype. It can be searched for patients and their clinical phenotype or for mutations. It can be used as a central, quick reference database for anyone who encounters a variant in the CHD7 gene. Mutations are numbered according to the current reference sequence (GenBank Accession no. NM017780.2).","abbreviation":"CHD7 Database","data_curation":{"url":"https://www.chd7.org/menu/main/background","type":"manual"},"support_links":[{"url":"https://www.chd7.org/menu/main/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.chd7.org/menu/main/background","name":"Background","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.chd7.org/menu/main/background","type":"open","notes":"Free registration is required, all submitted data will be checked and completed where necessary."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001191","bsg-d001191"],"name":"FAIRsharing record for: CHD7 Database","abbreviation":"CHD7 Database","url":"https://fairsharing.org/10.25504/FAIRsharing.2c8e7e","doi":"10.25504/FAIRsharing.2c8e7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CHD7 database contains locus-specific, anonymised mutation data on both published and unpublished variants of the CHD7 gene related to the CHARGE syndrome phenotype. It can be searched for patients and their clinical phenotype or for mutations. It can be used as a central, quick reference database for anyone who encounters a variant in the CHD7 gene. Mutations are numbered according to the current reference sequence (GenBank Accession no. NM017780.2).","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11553}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Genetics","Biomedical Science","Biology"],"domains":["Expression data","Mutation","Phenotype","Disease phenotype","Gene","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Researcher data"],"countries":["Netherlands"],"publications":[{"id":1717,"pubmed_id":22461308,"title":"Mutation update on the CHD7 gene involved in CHARGE syndrome.","year":2012,"url":"http://doi.org/10.1002/humu.22086","authors":"Janssen N,Bergman JE,Swertz MA,Tranebjaerg L,Lodahl M,Schoots J,Hofstra RM,van Ravenswaaij-Arts CM,Hoefsloot LH","journal":"Hum Mutat","doi":"10.1002/humu.22086","created_at":"2021-09-30T08:25:32.371Z","updated_at":"2021-09-30T08:25:32.371Z"}],"licence_links":[],"grants":[{"id":3221,"fairsharing_record_id":2694,"organisation_id":3059,"relation":"maintains","created_at":"2021-09-30T09:26:10.591Z","updated_at":"2021-09-30T09:26:10.591Z","grant_id":null,"is_lead":true,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2695","type":"fairsharing_records","attributes":{"created_at":"2018-11-01T18:28:49.000Z","updated_at":"2024-03-27T18:54:07.859Z","metadata":{"doi":"10.25504/FAIRsharing.111a51","name":"DEB Register","status":"ready","contacts":[{"contact_name":"Peter C van den Akker","contact_email":"p.c.van.den.akker@umcg.nl"}],"homepage":"https://www.deb-central.org","citations":[{"doi":"10.1002/humu.21651","pubmed_id":22058051,"publication_id":252},{"doi":"10.1002/humu.21551","pubmed_id":21681854,"publication_id":2713}],"identifier":2695,"description":"International Dystrophic Epidermolysis Bullosa Patient Registry (DEB Register) provides phenotypic and genotypic information on DEB and the related COL7A1 mutations. The registry is intended to aid in disease diagnosis, genetic counseling, and discovery of novel insights.","abbreviation":"DEB Register","data_curation":{"url":"https://www.deb-central.org/menu/main/background","type":"manual"},"support_links":[{"url":"https://www.deb-central.org/menu/main/news","name":"News","type":"Blog/News"},{"url":"https://www.deb-central.org/menu/main/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.deb-central.org/menu/main/background","name":"Background","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"url":"https://www.deb-central.org/menu/main/home","type":"partially open","notes":"Free login required"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.deb-central.org/menu/main/background#Background","type":"controlled","notes":"Before data submission login required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001192","bsg-d001192"],"name":"FAIRsharing record for: DEB Register","abbreviation":"DEB Register","url":"https://fairsharing.org/10.25504/FAIRsharing.111a51","doi":"10.25504/FAIRsharing.111a51","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: International Dystrophic Epidermolysis Bullosa Patient Registry (DEB Register) provides phenotypic and genotypic information on DEB and the related COL7A1 mutations. The registry is intended to aid in disease diagnosis, genetic counseling, and discovery of novel insights.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11554}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Human Genetics","Biomedical Science"],"domains":["Genotyping","Mutation","Phenotype","Diagnosis","Gene","Gene-disease association","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Functional impact of genetic variants"],"countries":["Austria","Germany","Italy","Netherlands","United Kingdom"],"publications":[{"id":252,"pubmed_id":22058051,"title":"The COL7A1 mutation database.","year":2011,"url":"http://doi.org/10.1002/humu.21651","authors":"Wertheim-Tysarowska K,Sobczynska-Tomaszewska A,Kowalewski C,Skronski M,Swieckowski G,Kutkowska-Kazmierczak A,Wozniak K,Bal J","journal":"Hum Mutat","doi":"10.1002/humu.21651","created_at":"2021-09-30T08:22:47.190Z","updated_at":"2021-09-30T08:22:47.190Z"},{"id":2713,"pubmed_id":21681854,"title":"The international dystrophic epidermolysis bullosa patient registry: an online database of dystrophic epidermolysis bullosa patients and their COL7A1 mutations.","year":2011,"url":"http://doi.org/10.1002/humu.21551","authors":"van den Akker PC,Jonkman MF,Rengaw T,Bruckner-Tuderman L,Has C,Bauer JW,Klausegger A,Zambruno G,Castiglia D,Mellerio JE,McGrath JA,van Essen AJ,Hofstra RM,Swertz MA","journal":"Hum Mutat","doi":"10.1002/humu.21551","created_at":"2021-09-30T08:27:33.145Z","updated_at":"2021-09-30T08:27:33.145Z"},{"id":2717,"pubmed_id":19945622,"title":"Dystrophic epidermolysis bullosa: pathogenesis and clinical features.","year":2009,"url":"http://doi.org/10.1016/j.det.2009.10.020","authors":"Bruckner-Tuderman L","journal":"Dermatol Clin","doi":"10.1016/j.det.2009.10.020","created_at":"2021-09-30T08:27:33.680Z","updated_at":"2021-09-30T08:27:33.680Z"}],"licence_links":[],"grants":[{"id":3224,"fairsharing_record_id":2695,"organisation_id":3056,"relation":"funds","created_at":"2021-09-30T09:26:10.671Z","updated_at":"2021-09-30T09:26:10.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":3056,"name":"University of Freiburg","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3222,"fairsharing_record_id":2695,"organisation_id":1206,"relation":"funds","created_at":"2021-09-30T09:26:10.615Z","updated_at":"2021-09-30T09:26:10.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":1206,"name":"Guys and St Thomas NHS Foundation Trust, London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3223,"fairsharing_record_id":2695,"organisation_id":3059,"relation":"maintains","created_at":"2021-09-30T09:26:10.640Z","updated_at":"2021-09-30T09:26:10.640Z","grant_id":null,"is_lead":false,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3227,"fairsharing_record_id":2695,"organisation_id":2123,"relation":"funds","created_at":"2021-09-30T09:26:10.775Z","updated_at":"2021-09-30T09:26:10.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":2123,"name":"Netherlands Bioinformatics Centre, Nijmegen, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3228,"fairsharing_record_id":2695,"organisation_id":2768,"relation":"funds","created_at":"2021-09-30T09:26:10.799Z","updated_at":"2021-09-30T09:26:10.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":2768,"name":"The Dutch Vlinderkind (Butterfly Child) Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3230,"fairsharing_record_id":2695,"organisation_id":2780,"relation":"funds","created_at":"2021-09-30T09:26:10.847Z","updated_at":"2021-09-30T09:26:10.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":2780,"name":"The Freiburg Institute for Advanced Studies, Freiburg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3226,"fairsharing_record_id":2695,"organisation_id":2812,"relation":"funds","created_at":"2021-09-30T09:26:10.742Z","updated_at":"2021-09-30T09:30:41.497Z","grant_id":824,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","grant":"92003541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3225,"fairsharing_record_id":2695,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:26:10.709Z","updated_at":"2021-09-30T09:31:31.203Z","grant_id":1206,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","grant":"Rubicon 825.09.008","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9340,"fairsharing_record_id":2695,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.607Z","updated_at":"2022-04-11T12:07:31.607Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2697","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T10:12:15.000Z","updated_at":"2023-10-18T16:27:42.420Z","metadata":{"doi":"10.25504/FAIRsharing.gX56qR","name":"CowpeaMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org"}],"homepage":"https://mines.legumeinfo.org/cowpeamine","citations":[],"identifier":2697,"description":"CowpeaMine integrates genomic and genetic data for cowpea, Vigna unguiculata. It is built from the LIS tripal.chado database as well as data from publications.","abbreviation":"CowpeaMine","data_curation":{},"support_links":[{"url":"https://mines.legumeinfo.org/cowpeamine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-10-18","deprecation_reason":"This resource's homepage is no longer available and a suitable alternative cannot be found. Please get in touch if you have information relating to this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001194","bsg-d001194"],"name":"FAIRsharing record for: CowpeaMine","abbreviation":"CowpeaMine","url":"https://fairsharing.org/10.25504/FAIRsharing.gX56qR","doi":"10.25504/FAIRsharing.gX56qR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CowpeaMine integrates genomic and genetic data for cowpea, Vigna unguiculata. It is built from the LIS tripal.chado database as well as data from publications.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11676}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":[],"taxonomies":["Vigna unguiculata"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":694,"relation":"undefined"}],"grants":[{"id":3239,"fairsharing_record_id":2697,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:26:11.113Z","updated_at":"2021-09-30T09:26:11.113Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3240,"fairsharing_record_id":2697,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:11.154Z","updated_at":"2021-09-30T09:26:11.154Z","grant_id":null,"is_lead":true,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3241,"fairsharing_record_id":2697,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:11.192Z","updated_at":"2021-09-30T09:32:16.274Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2699","type":"fairsharing_records","attributes":{"created_at":"2018-11-03T20:35:43.000Z","updated_at":"2023-06-22T16:37:08.115Z","metadata":{"doi":"10.25504/FAIRsharing.1e2ced","name":"Ocean Network Canada","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"nfo@oceannetworks.ca"}],"homepage":"https://data.oceannetworks.ca/home?TREETYPE=1\u0026LOCATION=11\u0026TIMECONFIG=0","citations":[],"identifier":2699,"description":"Ocean Networks Canada is a database on data pertaining to the ocean and marine environment.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/Ocean_Networks","name":"Twitter","type":"Twitter"},{"url":"https://wiki.oceannetworks.ca/display/O2KB","name":"Oceans 3.0 Knowledge Base","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011094","name":"re3data:r3d100011094","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001197","bsg-d001197"],"name":"FAIRsharing record for: Ocean Network Canada","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1e2ced","doi":"10.25504/FAIRsharing.1e2ced","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ocean Networks Canada is a database on data pertaining to the ocean and marine environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[],"grants":[{"id":3243,"fairsharing_record_id":2699,"organisation_id":2220,"relation":"maintains","created_at":"2021-09-30T09:26:11.248Z","updated_at":"2023-04-23T14:06:24.176Z","grant_id":null,"is_lead":true,"saved_state":{"id":2220,"name":"Ocean Networks Canada","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2700","type":"fairsharing_records","attributes":{"created_at":"2018-11-03T21:34:56.000Z","updated_at":"2023-06-23T11:31:21.209Z","metadata":{"doi":"10.25504/FAIRsharing.41a4e4","name":"WormQTL","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@panaceaproject.eu"}],"homepage":"https://www.wormqtl.org/xqtl_panacea/molgenis.do?select=Home","citations":[],"identifier":2700,"description":"WormQTL is an online scalable system for QTL exploration to service the worm community. WormQTL provides many publicly available datasets and welcomes submissions from other worm researchers.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.wormqtl.org/xqtl_panacea/molgenis.do?select=Help","name":"Help Page","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001198","bsg-d001198"],"name":"FAIRsharing record for: WormQTL","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.41a4e4","doi":"10.25504/FAIRsharing.41a4e4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WormQTL is an online scalable system for QTL exploration to service the worm community. WormQTL provides many publicly available datasets and welcomes submissions from other worm researchers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biology"],"domains":["Genome visualization","Model organism","Gene regulatory element","Quantitative trait loci"],"taxonomies":["Caenorhabditis"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":276,"pubmed_id":23180786,"title":"WormQTL--public archive and analysis web portal for natural variation data in Caenorhabditis spp.","year":2012,"url":"http://doi.org/10.1093/nar/gks1124","authors":"Snoek LB,Van der Velde KJ,Arends D,Li Y,Beyer A,Elvin M,Fisher J,Hajnal A,Hengartner MO,Poulin GB,Rodriguez M,Schmid T,Schrimpf S,Xue F,Jansen RC,Kammenga JE,Swertz MA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1124","created_at":"2021-09-30T08:22:49.804Z","updated_at":"2021-09-30T11:28:44.733Z"}],"licence_links":[],"grants":[{"id":3245,"fairsharing_record_id":2700,"organisation_id":2287,"relation":"funds","created_at":"2021-09-30T09:26:11.298Z","updated_at":"2021-09-30T09:26:11.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":2287,"name":"Panacea","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3247,"fairsharing_record_id":2700,"organisation_id":3059,"relation":"funds","created_at":"2021-09-30T09:26:11.348Z","updated_at":"2021-09-30T09:26:11.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3244,"fairsharing_record_id":2700,"organisation_id":1115,"relation":"maintains","created_at":"2021-09-30T09:26:11.274Z","updated_at":"2021-09-30T09:26:11.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":1115,"name":"Genomics Coordination Centre, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3246,"fairsharing_record_id":2700,"organisation_id":920,"relation":"maintains","created_at":"2021-09-30T09:26:11.324Z","updated_at":"2021-09-30T09:26:11.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2702","type":"fairsharing_records","attributes":{"created_at":"2018-11-04T22:39:38.000Z","updated_at":"2023-12-15T10:31:11.941Z","metadata":{"doi":"10.25504/FAIRsharing.6bfdfc","name":"American Mineralogist Crystal Structure Database","status":"ready","contacts":[{"contact_name":"Robert T Downs","contact_email":"rdowns@u.arizona.edu"}],"homepage":"http://rruff.geo.arizona.edu/AMS/amcsd.php","citations":[{"publication_id":2725}],"identifier":2702,"description":"This crystal structure database includes every structure published in the American Mineralogist, The Canadian Mineralogist, European Journal of Mineralogy and Physics and Chemistry of Minerals, as well as selected datasets from other journals.","abbreviation":null,"data_curation":{"url":"http://rruff.geo.arizona.edu/AMS/amcsd.php","type":"manual","notes":"\"This site is an interface to a crystal structure database that includes every structure published in the American Mineralogist, The Canadian Mineralogist, European Journal of Mineralogy and Physics and Chemistry of Minerals, as well as selected datasets from other journals.\""},"support_links":[{"url":"http://rruff.geo.arizona.edu/AMS/tips.php","name":"Search Tips","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010765","name":"re3data:r3d100010765","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001200","bsg-d001200"],"name":"FAIRsharing record for: American Mineralogist Crystal Structure Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6bfdfc","doi":"10.25504/FAIRsharing.6bfdfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This crystal structure database includes every structure published in the American Mineralogist, The Canadian Mineralogist, European Journal of Mineralogy and Physics and Chemistry of Minerals, as well as selected datasets from other journals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Earth Science","Mineralogy","Physics"],"domains":["Chemical structure","Structure"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":2725,"pubmed_id":null,"title":"The American Mineralogist crystal structure database","year":2003,"url":"https://www.geo.arizona.edu/xtal/group/pdf/am88_247.pdf","authors":"Robert T. Downs, Michelle Hall-Wallace","journal":"American Mineralogist (2003) 88 (1): 247–250.","doi":null,"created_at":"2021-09-30T08:27:34.728Z","updated_at":"2021-09-30T08:27:34.728Z"}],"licence_links":[],"grants":[{"id":3253,"fairsharing_record_id":2702,"organisation_id":1842,"relation":"maintains","created_at":"2021-09-30T09:26:11.498Z","updated_at":"2021-09-30T09:26:11.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":1842,"name":"Mineralogy and cristallography lab, Department of Geosciences, University of Arizona, AZ, U.S.A","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3255,"fairsharing_record_id":2702,"organisation_id":1841,"relation":"maintains","created_at":"2021-09-30T09:26:11.548Z","updated_at":"2021-09-30T09:26:11.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":1841,"name":"Mineralogical Society of America, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3256,"fairsharing_record_id":2702,"organisation_id":1840,"relation":"maintains","created_at":"2021-09-30T09:26:11.574Z","updated_at":"2021-09-30T09:26:11.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":1840,"name":"Mineralogical Association of Canada, Canada","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3254,"fairsharing_record_id":2702,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:11.524Z","updated_at":"2021-09-30T09:29:33.703Z","grant_id":301,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0112782","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7989,"fairsharing_record_id":2702,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:15.953Z","updated_at":"2021-09-30T09:30:16.005Z","grant_id":627,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0622371","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2707","type":"fairsharing_records","attributes":{"created_at":"2018-11-16T12:20:52.000Z","updated_at":"2023-12-15T10:28:27.728Z","metadata":{"doi":"10.25504/FAIRsharing.LEtKjT","name":"Imperial College Research Computing Service Data Repository","status":"ready","contacts":[{"contact_name":"M. J. Harvey","contact_email":"m.j.harvey@imperial.ac.uk","contact_orcid":"0000-0003-1797-3186"}],"homepage":"https://data.hpc.imperial.ac.uk","citations":[{"doi":"10.1186/s13321-017-0190-6","publication_id":2131}],"identifier":2707,"description":"A lightweight digital repository for data based on the concepts of collections of filesets. Both the collection and the fileset are assigned a DOI by the DataCite organisation which can be quoted in articles. Browsing and data deposition are available only when logged in. ","abbreviation":null,"data_curation":{"url":"https://wiki.ch.ic.ac.uk/wiki/index.php?title=Rdm:data","type":"manual"},"support_links":[{"url":"https://wiki.ch.ic.ac.uk/wiki/index.php?title=Rdm:data","name":"Help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011965","name":"re3data:r3d100011965","portal":"re3data"}],"data_access_condition":{"url":"https://data.hpc.imperial.ac.uk/publish/browse","type":"controlled","notes":"Data browsing under login"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://wiki.ch.ic.ac.uk/wiki/index.php?title=Rdm:data","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001205","bsg-d001205"],"name":"FAIRsharing record for: Imperial College Research Computing Service Data Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LEtKjT","doi":"10.25504/FAIRsharing.LEtKjT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A lightweight digital repository for data based on the concepts of collections of filesets. Both the collection and the fileset are assigned a DOI by the DataCite organisation which can be quoted in articles. Browsing and data deposition are available only when logged in. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry"],"domains":["Molecular structure","Molecular entity","Chemical descriptor"],"taxonomies":["All"],"user_defined_tags":["institutional repository"],"countries":["United Kingdom"],"publications":[{"id":2131,"pubmed_id":null,"title":"A metadata-driven approach to data repository design,","year":2017,"url":"http://doi.org/10.1186/s13321-017-0190-6","authors":"M. J. Harvey, A. McLean, H. S. Rzepa","journal":"J. Cheminformatics","doi":"10.1186/s13321-017-0190-6","created_at":"2021-09-30T08:26:20.316Z","updated_at":"2021-09-30T08:26:20.316Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":59,"relation":"undefined"}],"grants":[{"id":3261,"fairsharing_record_id":2707,"organisation_id":1320,"relation":"maintains","created_at":"2021-09-30T09:26:11.699Z","updated_at":"2021-09-30T09:26:11.699Z","grant_id":null,"is_lead":false,"saved_state":{"id":1320,"name":"Imperial College London, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2708","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T12:18:49.000Z","updated_at":"2023-12-15T10:31:00.239Z","metadata":{"doi":"10.25504/FAIRsharing.293c15","name":"GTEx Portal","status":"ready","contacts":[],"homepage":"https://gtexportal.org","citations":[],"identifier":2708,"description":"The Genotype-Tissue Expression (GTEx) project is an ongoing effort to build a comprehensive public resource to study tissue-specific gene expression and regulation. Samples were collected from 53 non-diseased tissue sites across nearly 1000 individuals, primarily for molecular assays including WGS, WES, and RNA-Seq. Remaining samples are available from the GTEx Biobank. The GTEx Portal provides open access to data including gene expression, QTLs, and histology images.","abbreviation":"GTEx Portal","data_curation":{"type":"not found"},"support_links":[{"url":"https://gtexportal.org/home/contact","name":"GTEx Contact Form","type":"Contact form"},{"url":"https://gtexportal.org/home/documentationPage","name":"GTEx documentation","type":"Help documentation"},{"url":"https://gtexportal.org/home/releaseInfoPage","name":"Release information","type":"Help documentation"},{"url":"https://gtexportal.org/home/tissueSummaryPage","name":"Dataset Summary Information","type":"Help documentation"},{"url":"https://gtexportal.org/home/videos","name":"Training Videos","type":"Training documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://gtexportal.org/home/bubbleHeatmapPage","name":"GTEx Gene-eQTL Visualizer"},{"url":"https://gtexportal.org/home/histologyPage?tab=PCA","name":"Expression PCA"},{"url":"https://gtexportal.org/home/browseEqtls","name":"GTEx IGV eQTL Browser"},{"url":"https://gtexportal.org/home/testyourown","name":"GTEx eQTL Calculator"},{"url":"https://gtexportal.org/home/eqtlDashboardPage","name":"GTEx eQTL Dashboard"}],"data_access_condition":{"url":"https://gtexportal.org/home/protectedDataAccess","type":"partially open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001206","bsg-d001206"],"name":"FAIRsharing record for: GTEx Portal","abbreviation":"GTEx Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.293c15","doi":"10.25504/FAIRsharing.293c15","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genotype-Tissue Expression (GTEx) project is an ongoing effort to build a comprehensive public resource to study tissue-specific gene expression and regulation. Samples were collected from 53 non-diseased tissue sites across nearly 1000 individuals, primarily for molecular assays including WGS, WES, and RNA-Seq. Remaining samples are available from the GTEx Biobank. The GTEx Portal provides open access to data including gene expression, QTLs, and histology images.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10823}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Gene expression","Regulation of gene expression","RNA sequencing","Whole genome sequencing","Histology","Quantitative trait loci"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":1729,"relation":"undefined"},{"licence_name":"GTEx Data Release and Publication Policy","licence_id":366,"licence_url":"https://gtexportal.org/home/documentationPage#staticTextPublicationPolicy","link_id":1728,"relation":"undefined"}],"grants":[{"id":3263,"fairsharing_record_id":2708,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:11.749Z","updated_at":"2021-09-30T09:32:22.748Z","grant_id":1592,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"Common Fund GTEx Grant","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3262,"fairsharing_record_id":2708,"organisation_id":2748,"relation":"maintains","created_at":"2021-09-30T09:26:11.725Z","updated_at":"2021-09-30T09:26:11.725Z","grant_id":null,"is_lead":true,"saved_state":{"id":2748,"name":"The Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02140, USA.","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2709","type":"fairsharing_records","attributes":{"created_at":"2018-11-19T10:39:03.000Z","updated_at":"2023-12-15T10:33:12.719Z","metadata":{"doi":"10.25504/FAIRsharing.KhTFtY","name":"YeastMine","status":"ready","contacts":[{"contact_email":"sgd-helpdesk@lists.stanford.edu"}],"homepage":"http://yeastmine.yeastgenome.org/yeastmine","citations":[],"identifier":2709,"description":"Search and retrieve S. cerevisiae data with YeastMine, populated by SGD and powered by InterMine.","abbreviation":"YeastMine","data_curation":{"url":"https://sites.google.com/view/yeastgenome-help/analyze-help/yeastmine","type":"manual"},"support_links":[{"url":"https://www.yeastgenome.org/suggestion","name":"SGD Contact Form","type":"Contact form"},{"url":"https://sites.google.com/view/yeastgenome-help/video-tutorials/yeastmine","name":"Video Tutorials","type":"Help documentation"},{"url":"https://sites.google.com/view/yeastgenome-help/analyze-help/yeastmine","name":"YeastMine Help","type":"Help documentation"},{"url":"https://yeastmine.yeastgenome.org/yeastmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/yeastmine-videos","name":"YeastMine videos","type":"TeSS links to training materials"}],"data_versioning":"yes","data_access_condition":{"url":"https://yeastmine.yeastgenome.org/yeastmine/begin.do","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001207","bsg-d001207"],"name":"FAIRsharing record for: YeastMine","abbreviation":"YeastMine","url":"https://fairsharing.org/10.25504/FAIRsharing.KhTFtY","doi":"10.25504/FAIRsharing.KhTFtY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Search and retrieve S. cerevisiae data with YeastMine, populated by SGD and powered by InterMine.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11679}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Life Science"],"domains":["Molecular function","Gene expression","Biological regulation","Molecular interaction","Protein","Homologous","Orthologous","Paralogous"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":603,"relation":"undefined"}],"grants":[{"id":3264,"fairsharing_record_id":2709,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:26:11.785Z","updated_at":"2021-09-30T09:26:11.785Z","grant_id":null,"is_lead":true,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2710","type":"fairsharing_records","attributes":{"created_at":"2018-11-19T10:48:50.000Z","updated_at":"2022-07-20T09:46:59.486Z","metadata":{"doi":"10.25504/FAIRsharing.59ZSlc","name":"ZebraFishMine","status":"deprecated","contacts":[],"homepage":"http://zebrafishmine.org/zfinmine/","citations":[],"identifier":2710,"description":"ZebrafishMine provides a variety of data, analysis and browsing of Zebrafish genomic information.","abbreviation":null,"data_curation":{},"support_links":[{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2022-06-29","deprecation_reason":"This resource has been superseded by the AllianceMine.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001208","bsg-d001208"],"name":"FAIRsharing record for: ZebraFishMine","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.59ZSlc","doi":"10.25504/FAIRsharing.59ZSlc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ZebrafishMine provides a variety of data, analysis and browsing of Zebrafish genomic information.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11680}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Reagent","Protein","Gene"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1698,"pubmed_id":31552413,"title":"Alliance of Genome Resources Portal: unified model organism research platform.","year":2019,"url":"http://doi.org/10.1093/nar/gkz813","authors":"Alliance of Genome Resources Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz813","created_at":"2021-09-30T08:25:30.300Z","updated_at":"2021-09-30T11:29:18.893Z"},{"id":2156,"pubmed_id":26097180,"title":"ZFIN, The zebrafish model organism database: Updates and new directions.","year":2015,"url":"http://doi.org/10.1002/dvg.22868","authors":"Ruzicka L,Bradford YM,Frazer K,Howe DG,Paddock H,Ramachandran S,Singer A,Toro S,Van Slyke CE,Eagle AE,Fashena D,Kalita P,Knight J,Mani P,Martin R,Moxon SA,Pich C,Schaper K,Shao X,Westerfield M","journal":"Genesis","doi":"10.1002/dvg.22868","created_at":"2021-09-30T08:26:23.074Z","updated_at":"2021-09-30T08:26:23.074Z"}],"licence_links":[],"grants":[{"id":9651,"fairsharing_record_id":2710,"organisation_id":1470,"relation":"maintains","created_at":"2022-06-29T14:46:50.751Z","updated_at":"2022-06-29T14:46:50.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":1470,"name":"InterMine, System Biology Centre, Cambridge, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3265,"fairsharing_record_id":2710,"organisation_id":3110,"relation":"maintains","created_at":"2021-09-30T09:26:11.808Z","updated_at":"2021-09-30T09:26:11.808Z","grant_id":null,"is_lead":true,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2713","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T10:50:12.000Z","updated_at":"2023-10-18T16:28:28.057Z","metadata":{"doi":"10.25504/FAIRsharing.Pupa1p","name":"PeanutMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org"}],"homepage":"https://mines.legumeinfo.org/peanutmine","citations":[],"identifier":2713,"description":"PeanutMine integrates peanut data from LIS PeanutBase and other sources.","abbreviation":"PeanutMine","data_curation":{"type":"not found"},"support_links":[{"url":"https://mines.legumeinfo.org/peanutmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-10-18","deprecation_reason":"This resource's homepage is no longer available and a suitable alternative cannot be found. Please get in touch if you have information relating to this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001211","bsg-d001211"],"name":"FAIRsharing record for: PeanutMine","abbreviation":"PeanutMine","url":"https://fairsharing.org/10.25504/FAIRsharing.Pupa1p","doi":"10.25504/FAIRsharing.Pupa1p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PeanutMine integrates peanut data from LIS PeanutBase and other sources.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11683}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Gene expression"],"taxonomies":["Arachis","Arachis duranensis","Arachis hypogaea"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":789,"relation":"undefined"}],"grants":[{"id":3270,"fairsharing_record_id":2713,"organisation_id":1963,"relation":"maintains","created_at":"2021-09-30T09:26:11.932Z","updated_at":"2021-09-30T09:26:11.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3271,"fairsharing_record_id":2713,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:11.958Z","updated_at":"2021-09-30T09:26:11.958Z","grant_id":null,"is_lead":false,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3272,"fairsharing_record_id":2713,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:11.982Z","updated_at":"2021-09-30T09:32:16.298Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2714","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T11:02:12.000Z","updated_at":"2023-06-14T11:06:30.731Z","metadata":{"doi":"10.25504/FAIRsharing.KoKgH7","name":"SoyMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org"}],"homepage":"https://mines.legumeinfo.org/soymine","citations":[],"identifier":2714,"description":"This mine integrates many types of data for soybean. It is currently under development by LIS, built from the LIS chado database (genomic data) and the SoyBase database (genetic data) as well as other resources. Please note that the homepage URL is no longer accessible, therefore we have marked the record as uncertain.","abbreviation":"SoyMine","data_curation":{},"support_links":[{"url":"https://mines.legumeinfo.org/soymine/dataCategories.do","name":"Data Source","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-06-14","deprecation_reason":"The resource homepage is unavailable, and a new project page cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001212","bsg-d001212"],"name":"FAIRsharing record for: SoyMine","abbreviation":"SoyMine","url":"https://fairsharing.org/10.25504/FAIRsharing.KoKgH7","doi":"10.25504/FAIRsharing.KoKgH7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This mine integrates many types of data for soybean. It is currently under development by LIS, built from the LIS chado database (genomic data) and the SoyBase database (genetic data) as well as other resources. Please note that the homepage URL is no longer accessible, therefore we have marked the record as uncertain.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11684}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics"],"domains":["Expression data","Gene functional annotation","Protein sequence identification","Transcript","Quantitative trait loci"],"taxonomies":["Glycine max"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1319,"relation":"undefined"}],"grants":[{"id":3275,"fairsharing_record_id":2714,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:12.058Z","updated_at":"2021-09-30T09:32:16.311Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3273,"fairsharing_record_id":2714,"organisation_id":1963,"relation":"maintains","created_at":"2021-09-30T09:26:12.008Z","updated_at":"2021-09-30T09:26:12.008Z","grant_id":null,"is_lead":true,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3274,"fairsharing_record_id":2714,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:12.032Z","updated_at":"2021-09-30T09:26:12.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2705","type":"fairsharing_records","attributes":{"created_at":"2018-11-15T14:46:13.000Z","updated_at":"2023-03-21T15:11:59.066Z","metadata":{"doi":"10.25504/FAIRsharing.TFhZ4P","name":"RatMine","status":"deprecated","contacts":[],"homepage":"http://ratmine.mcw.edu/ratmine/begin.do","citations":[],"identifier":2705,"description":"RatMine integrates many types of data for Rattus Norvegicus, Homo Sapiens, Mus Musculus and other organisms. You can run flexible queries, export results and analyse lists of data.","abbreviation":"RatMine","data_curation":{"type":"not found"},"support_links":[{"url":"http://ratmine.mcw.edu/ratmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001203","bsg-d001203"],"name":"FAIRsharing record for: RatMine","abbreviation":"RatMine","url":"https://fairsharing.org/10.25504/FAIRsharing.TFhZ4P","doi":"10.25504/FAIRsharing.TFhZ4P","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RatMine integrates many types of data for Rattus Norvegicus, Homo Sapiens, Mus Musculus and other organisms. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11677}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Comparative Genomics"],"domains":["Expression data","Molecular interaction","Homologous"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1246,"relation":"undefined"}],"grants":[{"id":3259,"fairsharing_record_id":2705,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:26:11.649Z","updated_at":"2021-09-30T09:26:11.649Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2706","type":"fairsharing_records","attributes":{"created_at":"2018-11-15T14:55:06.000Z","updated_at":"2023-06-23T15:08:18.649Z","metadata":{"doi":"10.25504/FAIRsharing.wmZz9V","name":"WormMine","status":"ready","contacts":[{"contact_email":"help@wormbase.org"}],"homepage":"http://intermine.wormbase.org/tools/wormmine/begin.do","identifier":2706,"description":"WormMine integrates many types of data for C. elegans and related nematodes. You can run flexible queries, export results and analyse lists of data.","abbreviation":"WormMine","data_curation":{"type":"not found"},"support_links":[{"url":"http://intermine.wormbase.org/tools/wormmine/dataCategories.do","name":"Data Sources","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001204","bsg-d001204"],"name":"FAIRsharing record for: WormMine","abbreviation":"WormMine","url":"https://fairsharing.org/10.25504/FAIRsharing.wmZz9V","doi":"10.25504/FAIRsharing.wmZz9V","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WormMine integrates many types of data for C. elegans and related nematodes. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11678}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Reagent","Gene expression","Phenotype","Protein"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":["genomic variation"],"countries":["Canada","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":428,"relation":"undefined"}],"grants":[{"id":3260,"fairsharing_record_id":2706,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:26:11.674Z","updated_at":"2021-09-30T09:26:11.674Z","grant_id":null,"is_lead":true,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2667","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T09:20:33.000Z","updated_at":"2023-12-15T10:32:10.608Z","metadata":{"doi":"10.25504/FAIRsharing.c55d5e","name":"GitHub","status":"ready","homepage":"https://github.com/","identifier":2667,"description":"GitHub Inc. is a Git-based software repository that provides version control. It offers all of the distributed version control and source code management (SCM) functionality of Git as well as adding its own features. It provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for each project. It provides a number of different access levels, from free through to paid services.","abbreviation":"GitHub","data_curation":{"url":"https://docs.github.com/en/contributing","type":"manual/automated","notes":"GitHub Style Guide"},"support_links":[{"url":"https://support.github.com/contact","name":"Contact Form and Help Pages","type":"Github"},{"url":"https://github.community/","name":"GitHub Support Community","type":"Github"},{"url":"https://help.github.com/","name":"Help","type":"Github"},{"url":"https://services.github.com/","name":"Services Listing","type":"Github"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/features/code-review/","name":"Code review"},{"url":"https://github.com/features/project-management/","name":"Project management"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010375","name":"re3data:r3d100010375","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002630","name":"SciCrunch:RRID:SCR_002630","portal":"SciCrunch"}],"data_access_condition":{"url":"https://docs.github.com/en/site-policy/privacy-policies/github-privacy-statement","type":"partially open","notes":"GitHub Privacy Statement"},"resource_sustainability":{"url":"https://github.blog/2020-11-16-standing-up-for-developers-youtube-dl-is-back/#developer-defense-fund","name":"GitHub Developer Defense Fund"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://github.com/customer-terms/github-data-protection-agreement","name":"GitHub Data Protection Agreement"},"data_deposition_condition":{"url":"https://docs.github.com/en/site-policy/github-terms/github-terms-of-service","type":"open","notes":"GitHub Terms of Service"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001160","bsg-d001160"],"name":"FAIRsharing record for: GitHub","abbreviation":"GitHub","url":"https://fairsharing.org/10.25504/FAIRsharing.c55d5e","doi":"10.25504/FAIRsharing.c55d5e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GitHub Inc. is a Git-based software repository that provides version control. It offers all of the distributed version control and source code management (SCM) functionality of Git as well as adding its own features. It provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for each project. It provides a number of different access levels, from free through to paid services.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14727}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Knowledge and Information Systems","Subject Agnostic","Software Engineering"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GitHub Privacy Statement","licence_id":347,"licence_url":"https://help.github.com/articles/github-privacy-statement/","link_id":1677,"relation":"undefined"},{"licence_name":"GitHub Terms of Service","licence_id":348,"licence_url":"https://help.github.com/articles/github-terms-of-service/","link_id":1663,"relation":"undefined"}],"grants":[{"id":3148,"fairsharing_record_id":2667,"organisation_id":1156,"relation":"maintains","created_at":"2021-09-30T09:26:08.272Z","updated_at":"2021-09-30T09:26:08.272Z","grant_id":null,"is_lead":true,"saved_state":{"id":1156,"name":"GitHub Incorporated, San Francisco, CA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2715","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T13:13:34.000Z","updated_at":"2023-10-18T16:28:04.979Z","metadata":{"doi":"10.25504/FAIRsharing.sDwGp9","name":"MedicMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org","contact_orcid":null}],"homepage":"https://mines.legumeinfo.org/medicmine/begin.do","citations":[],"identifier":2715,"description":"MedicMine integrates genomic data for medicago trucatula and Medicago sativa. You can run flexible queries, export results and analyse lists of genes.","abbreviation":"MedicMine","data_curation":{},"support_links":[{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"},{"url":"https://mines.legumeinfo.org/medicmine/dataCategories.do","name":"List of Data Sources","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2023-10-18","deprecation_reason":"This resource's homepage is no longer available and a suitable alternative cannot be found. Please get in touch if you have information relating to this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001213","bsg-d001213"],"name":"FAIRsharing record for: MedicMine","abbreviation":"MedicMine","url":"https://fairsharing.org/10.25504/FAIRsharing.sDwGp9","doi":"10.25504/FAIRsharing.sDwGp9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MedicMine integrates genomic data for medicago trucatula and Medicago sativa. You can run flexible queries, export results and analyse lists of genes.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11685}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Molecular function","Gene expression","Protein","Homologous"],"taxonomies":["Medicago sativa","Medicago truncatula"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":788,"relation":"undefined"}],"grants":[{"id":3276,"fairsharing_record_id":2715,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:26:12.082Z","updated_at":"2021-09-30T09:26:12.082Z","grant_id":null,"is_lead":true,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3277,"fairsharing_record_id":2715,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:12.108Z","updated_at":"2021-09-30T09:32:16.322Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--270898763d9ce46ce29f66c69d357147e2633e32/medicago.png?disposition=inline","exhaustive_licences":false}},{"id":"2722","type":"fairsharing_records","attributes":{"created_at":"2019-01-09T09:45:09.000Z","updated_at":"2022-07-20T12:29:16.168Z","metadata":{"doi":"10.25504/FAIRsharing.9vT2Wg","name":"BioCatalogue","status":"deprecated","contacts":[{"contact_name":"BioCatalogue Helpdesk","contact_email":"contact@biocatalogue.org"}],"homepage":"https://esciencelab.org.uk/products/biocatalogue/","citations":[{"doi":"10.1093/nar/gkq394","pubmed_id":20484378,"publication_id":483}],"identifier":2722,"description":"The BioCatalogue provided a common interface for registering, browsing and annotating Web Services to the Life Science community. Services in the BioCatalogue could be described and searched in multiple ways based upon their technical types, bioinformatics categories, user tags, service providers or data inputs and outputs. They were also subject to constant monitoring, allowing the identification of service problems and changes and the filtering-out of unavailable or unreliable resources. The system was accessible via a human-readable ‘Web 2.0’-style interface and a programmatic Web Service interface. The BioCatalogue followed a community approach in which all services can be registered, browsed and incrementally documented with annotations by any member of the scientific community.","abbreviation":"BioCatalogue","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.biocatalogue.org/contact","name":"BioCatalogue Contact Form","type":"Contact form"},{"url":"https://www.biocatalogue.org/stats","name":"Statistics","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"BioCatalogue was retired in September 2021","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001220","bsg-d001220"],"name":"FAIRsharing record for: BioCatalogue","abbreviation":"BioCatalogue","url":"https://fairsharing.org/10.25504/FAIRsharing.9vT2Wg","doi":"10.25504/FAIRsharing.9vT2Wg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioCatalogue provided a common interface for registering, browsing and annotating Web Services to the Life Science community. Services in the BioCatalogue could be described and searched in multiple ways based upon their technical types, bioinformatics categories, user tags, service providers or data inputs and outputs. They were also subject to constant monitoring, allowing the identification of service problems and changes and the filtering-out of unavailable or unreliable resources. The system was accessible via a human-readable ‘Web 2.0’-style interface and a programmatic Web Service interface. The BioCatalogue followed a community approach in which all services can be registered, browsed and incrementally documented with annotations by any member of the scientific community.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11408},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12150}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics"],"domains":["Web service"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":483,"pubmed_id":20484378,"title":"BioCatalogue: a universal catalogue of web services for the life sciences.","year":2010,"url":"http://doi.org/10.1093/nar/gkq394","authors":"Bhagat J,Tanoh F,Nzuobontane E,Laurent T,Orlowski J,Roos M,Wolstencroft K,Aleksejevs S,Stevens R,Pettifer S,Lopez R,Goble CA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq394","created_at":"2021-09-30T08:23:12.531Z","updated_at":"2021-09-30T11:28:46.700Z"}],"licence_links":[{"licence_name":"BioCatalogue BSD License","licence_id":76,"licence_url":"https://github.com/myGrid/biocatalogue/blob/master/license.txt","link_id":2352,"relation":"undefined"},{"licence_name":"BioCatalogue Terms of Use","licence_id":77,"licence_url":"https://www.biocatalogue.org/termsofuse","link_id":2350,"relation":"undefined"},{"licence_name":"Creative Commons (CC) Copyright-Only Dedication (based on United States law) or Public Domain Certification","licence_id":197,"licence_url":"https://creativecommons.org/licenses/publicdomain/","link_id":2351,"relation":"undefined"}],"grants":[{"id":3294,"fairsharing_record_id":2722,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:26:12.550Z","updated_at":"2021-09-30T09:26:12.550Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3293,"fairsharing_record_id":2722,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:12.524Z","updated_at":"2021-09-30T09:26:12.524Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3295,"fairsharing_record_id":2722,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:12.582Z","updated_at":"2021-09-30T09:30:40.740Z","grant_id":818,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/F01046X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8257,"fairsharing_record_id":2722,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:47.399Z","updated_at":"2021-09-30T09:31:47.460Z","grant_id":1327,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/F010540/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2723","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T10:01:33.000Z","updated_at":"2023-12-15T10:30:48.841Z","metadata":{"doi":"10.25504/FAIRsharing.m8AMNi","name":"Lichenized and Non-Lichenized Ascomycetes","status":"ready","contacts":[{"contact_name":"Dagmar Triebel","contact_email":"triebel@snsb.de"}],"homepage":"http://www.lias.net/","identifier":2723,"description":"LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been enlarged. LIAS light stores phenotypic trait data. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication.","abbreviation":"LIAS","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.lias.net/Descriptors/Definitions.html","name":"LIAS Descriptors","type":"Help documentation"},{"url":"http://www.lias.net/Descriptors/Listing.html","name":"LIAS Descriptors Master Forms","type":"Help documentation"},{"url":"http://www.lias.net/About/About.html","name":"About","type":"Help documentation"},{"url":"http://www.lias.net/","name":"Partners","type":"Help documentation"},{"url":"https://glossary.lias.net/wiki/","name":"LIAS glossary","type":"Help documentation"},{"url":"http://liaslight.lias.net/About/Impressum.html","name":"LIAS light editors and managers","type":"Help documentation"},{"url":"http://liasgtm.lias.net/gtm.php?p=doc\u0026c=gtm","name":"LIAS gtm documentation","type":"Help documentation"}],"year_creation":1993,"data_versioning":"no","associated_tools":[{"url":"http://www.navikey.net/","name":"NaviKey 5"},{"url":"http://liaslight.lias.net/","name":"LIAS light"},{"url":"http://liasgtm.lias.net/gtm.php","name":"LIAS gtm"},{"url":"http://liasnames.lias.net/","name":"LIAS names"},{"url":"https://diversityworkbench.net/Portal/DiversityDescriptions","name":"DiversityDescriptions"},{"url":"https://diversityworkbench.net/Portal/DiversityTaxonNames","name":"DiversityTaxonNames"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011872","name":"re3data:r3d100011872","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.lias.net/","type":"not applicable","notes":"Users can participate by doing taxonomic curation"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001221","bsg-d001221"],"name":"FAIRsharing record for: Lichenized and Non-Lichenized Ascomycetes","abbreviation":"LIAS","url":"https://fairsharing.org/10.25504/FAIRsharing.m8AMNi","doi":"10.25504/FAIRsharing.m8AMNi","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been enlarged. LIAS light stores phenotypic trait data. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Biodiversity","Life Science"],"domains":["Taxonomic classification","Geographical location","Phenotype"],"taxonomies":["Ascomycota","Fungi"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Germany"],"publications":[{"id":2384,"pubmed_id":null,"title":"LIAS light – Towards the ten thousand species milestone","year":2014,"url":"https://mycokeys.pensoft.net/article/1203/list/8/","authors":"Rambold, G., Elix, J.A., Heindl-Tenhunen, B., Köhler, T., Nash, T.H. III, Neubacher, D., Reichert, W., Zedda, L. \u0026 Triebel, D.","journal":"MycoKeys 8: 11-16","doi":null,"created_at":"2021-09-30T08:26:52.892Z","updated_at":"2021-09-30T08:26:52.892Z"},{"id":2385,"pubmed_id":null,"title":"Geographic heat maps of lichen traits derived by combining LIAS light description and GBIF occurrence data, provided on a new platform","year":2016,"url":"https://link.springer.com/article/10.1007/s10531-016-1199-2","authors":"Rambold, G., Zedda, L., Coyle, J., Peršoh, D., Köhler, T. \u0026 Triebel","journal":"Biodivers. \u0026 Conservation 25(13): 2743-2751","doi":null,"created_at":"2021-09-30T08:26:53.002Z","updated_at":"2021-09-30T08:26:53.002Z"},{"id":2399,"pubmed_id":null,"title":"LIAS - an interactive database system for structured descriptive data of Ascomycetes. (in: Biodiversity Databases: Techniques, Politics, and Applications. Chapter 8. )","year":2007,"url":"https://www.researchgate.net/publication/215823237_Chapter_8_LIAS_-_an_interactive_database_system_for_structured_descriptive_data_of_Ascomycetes","authors":"Triebel, D., Peršoh, D., Nash, T.H. III, Zedda, L. \u0026 Rambold, G.","journal":"Syst. Assoc. Special Vol. 73: 99-110","doi":null,"created_at":"2021-09-30T08:26:54.560Z","updated_at":"2021-09-30T11:28:35.678Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":2347,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2349,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":2361,"relation":"undefined"}],"grants":[{"id":3296,"fairsharing_record_id":2723,"organisation_id":3019,"relation":"maintains","created_at":"2021-09-30T09:26:12.607Z","updated_at":"2021-09-30T09:26:12.607Z","grant_id":null,"is_lead":true,"saved_state":{"id":3019,"name":"University of Bayreuth","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3298,"fairsharing_record_id":2723,"organisation_id":174,"relation":"maintains","created_at":"2021-09-30T09:26:12.659Z","updated_at":"2021-09-30T09:26:12.659Z","grant_id":null,"is_lead":true,"saved_state":{"id":174,"name":"Bavarian Natural History Collections, SNSB IT Center, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3299,"fairsharing_record_id":2723,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:12.683Z","updated_at":"2021-09-30T09:26:12.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9341,"fairsharing_record_id":2723,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.660Z","updated_at":"2022-04-11T12:07:31.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2724","type":"fairsharing_records","attributes":{"created_at":"2018-12-10T14:26:41.000Z","updated_at":"2023-12-15T10:32:53.792Z","metadata":{"doi":"10.25504/FAIRsharing.l0p1Oi","name":"Beilstein Archives","status":"ready","contacts":[{"contact_name":"Wendy Patterson","contact_email":"wpatterson@beilstein-institut.de"}],"homepage":"https://www.beilstein-archives.org/xiv/","identifier":2724,"description":"This repository is currently limited to preprints related to the Beilstein Journal of Nanotechnology and the Beilstein Journal of Organic Chemistry. All preprints are posted with a CC-BY 4.0 license.","abbreviation":null,"data_curation":{"type":"none"},"year_creation":2019,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.beilstein-archives.org/xiv/submission","type":"open","notes":"Only preprints that are submitted as manuscripts to the Beilstein Journal of Organic Chemistry or the Beilstein Journal of Nanotechnology can be submited."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001222","bsg-d001222"],"name":"FAIRsharing record for: Beilstein Archives","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.l0p1Oi","doi":"10.25504/FAIRsharing.l0p1Oi","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This repository is currently limited to preprints related to the Beilstein Journal of Nanotechnology and the Beilstein Journal of Organic Chemistry. All preprints are posted with a CC-BY 4.0 license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Organic Chemistry","Nanotechnology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["preprints"],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":3300,"fairsharing_record_id":2724,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:26:12.708Z","updated_at":"2021-09-30T09:26:12.708Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2725","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T10:18:51.000Z","updated_at":"2023-12-15T10:32:18.434Z","metadata":{"doi":"10.25504/FAIRsharing.xfUA7e","name":"Determination of Ectomycorrhizae","status":"ready","contacts":[{"contact_name":"Dagmar Triebel","contact_email":"triebel@snsb.de"}],"homepage":"http://www.deemy.de/","citations":[{"doi":"https://doi.org/10.1007/s005720050171","publication_id":2074}],"identifier":2725,"description":"DEEMY collects descriptive data on ectomycorrhizae, including extant character descriptions and definitions. Ectomycorrhizae are mutualistic structures formed by fungi and the roots of forest trees. They are predominantly found in the temperate and boreal climate zones but occur also in humid tropic regions, as well as in soils of poor nutrition. Without mycorrhizae, trees would not be able to take up water and minerals. Ectomycorrhizae show a wide range of anatomical diversity which represents their possible function in tree nutrition and ecology. Their anatomical data, in general, allow a quick determination and provide at the same time ecologically important information about possible functions for tree nutrition.","abbreviation":"DEEMY","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.deemy.de/About/About.html","name":"About","type":"Help documentation"},{"url":"http://www.deemy.de/About/Impressum.cfm","name":"DEEMY Imprint","type":"Help documentation"}],"year_creation":1996,"data_versioning":"no","associated_tools":[{"url":"http://www.navikey.net/","name":"NaviKey 5"},{"url":"http://www.deemy.de/Identification/Navikey/index.html","name":"DEEMY Identification"},{"url":"https://diversityworkbench.net/Portal/DiversityDescriptions","name":"DiversityDescriptions"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012561","name":"re3data:r3d100012561","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001223","bsg-d001223"],"name":"FAIRsharing record for: Determination of Ectomycorrhizae","abbreviation":"DEEMY","url":"https://fairsharing.org/10.25504/FAIRsharing.xfUA7e","doi":"10.25504/FAIRsharing.xfUA7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DEEMY collects descriptive data on ectomycorrhizae, including extant character descriptions and definitions. Ectomycorrhizae are mutualistic structures formed by fungi and the roots of forest trees. They are predominantly found in the temperate and boreal climate zones but occur also in humid tropic regions, as well as in soils of poor nutrition. Without mycorrhizae, trees would not be able to take up water and minerals. Ectomycorrhizae show a wide range of anatomical diversity which represents their possible function in tree nutrition and ecology. Their anatomical data, in general, allow a quick determination and provide at the same time ecologically important information about possible functions for tree nutrition.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Life Science","Plant Anatomy"],"domains":["Phenotype"],"taxonomies":["Fungi","Viridiplantae"],"user_defined_tags":["Ectomycorrhizae","Plant Phenotypes and Traits"],"countries":["Germany"],"publications":[{"id":2074,"pubmed_id":null,"title":"DEEMY – the concept of a characterization and determination system for ectomycorrhizae","year":1997,"url":"http://doi.org/https://doi.org/10.1007/s005720050171","authors":"Rambold, G., Agerer, R.","journal":"Mycorrhiza 7: 113-116","doi":"https://doi.org/10.1007/s005720050171","created_at":"2021-09-30T08:26:13.831Z","updated_at":"2021-09-30T08:26:13.831Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":1455,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1456,"relation":"undefined"}],"grants":[{"id":3303,"fairsharing_record_id":2725,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:12.784Z","updated_at":"2021-09-30T09:26:12.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3306,"fairsharing_record_id":2725,"organisation_id":2582,"relation":"maintains","created_at":"2021-09-30T09:26:12.858Z","updated_at":"2021-09-30T09:26:12.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":2582,"name":"SNSB, Botanische Staatssammlung Muenchen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3302,"fairsharing_record_id":2725,"organisation_id":174,"relation":"maintains","created_at":"2021-09-30T09:26:12.758Z","updated_at":"2021-09-30T09:26:12.758Z","grant_id":null,"is_lead":true,"saved_state":{"id":174,"name":"Bavarian Natural History Collections, SNSB IT Center, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3304,"fairsharing_record_id":2725,"organisation_id":1731,"relation":"maintains","created_at":"2021-09-30T09:26:12.808Z","updated_at":"2021-09-30T09:26:12.808Z","grant_id":null,"is_lead":true,"saved_state":{"id":1731,"name":"Ludwig-Maximilians- University Munich, Faculty of Biology, Department I, Munich, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3305,"fairsharing_record_id":2725,"organisation_id":3020,"relation":"maintains","created_at":"2021-09-30T09:26:12.834Z","updated_at":"2021-09-30T09:26:12.834Z","grant_id":null,"is_lead":true,"saved_state":{"id":3020,"name":"University of Bayreuth, Department of Mycology, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9358,"fairsharing_record_id":2725,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.852Z","updated_at":"2022-04-11T12:07:32.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2726","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T14:01:28.000Z","updated_at":"2024-07-09T12:51:55.762Z","metadata":{"doi":"10.25504/FAIRsharing.oAJNHO","name":"An INtegrated Data warehouse of mIcrobial GenOmes","status":"deprecated","contacts":[{"contact_name":"Intikhab Alam","contact_email":"intikhab.alam@kaust.edu.sa"}],"homepage":"http://www.cbrc.kaust.edu.sa/indigo","citations":[{"doi":"10.1371/journal.pone.0082210","pubmed_id":24324765,"publication_id":2493}],"identifier":2726,"description":"INDIGO enables the integration of annotations for the exploration and analysis of newly sequenced microbial genomes.","abbreviation":"INDIGO","data_curation":{"url":"https://www.cbrc.kaust.edu.sa/indigo/dataCategories.do","type":"automated","notes":"List of the different data sources where the data was downloaded"},"support_links":[{"url":"http://www.cbrc.kaust.edu.sa/indigo/team.do","name":"INDIGO Team","type":"Help documentation"},{"url":"http://www.cbrc.kaust.edu.sa/indigo/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://www.cbrc.kaust.edu.sa/indigo/blast.do","name":"BLAST Interface to INDIGO"}],"deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001224","bsg-d001224"],"name":"FAIRsharing record for: An INtegrated Data warehouse of mIcrobial GenOmes","abbreviation":"INDIGO","url":"https://fairsharing.org/10.25504/FAIRsharing.oAJNHO","doi":"10.25504/FAIRsharing.oAJNHO","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: INDIGO enables the integration of annotations for the exploration and analysis of newly sequenced microbial genomes.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11689},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12824}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Integration","Genomics","Life Science","Microbiology"],"domains":["Genome annotation","Gene","Genome"],"taxonomies":["Haloplasma contractile","Halorhabdus tiamatea","Salinisphaera shabanensis"],"user_defined_tags":[],"countries":["Saudi Arabia"],"publications":[{"id":2493,"pubmed_id":24324765,"title":"INDIGO - INtegrated data warehouse of microbial genomes with examples from the red sea extremophiles.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0082210","authors":"Alam I,Antunes A,Kamau AA,Ba Alawi W,Kalkatawi M,Stingl U,Bajic VB","journal":"PLoS One","doi":"10.1371/journal.pone.0082210","created_at":"2021-09-30T08:27:05.745Z","updated_at":"2021-09-30T08:27:05.745Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1475,"relation":"undefined"}],"grants":[{"id":3307,"fairsharing_record_id":2726,"organisation_id":583,"relation":"maintains","created_at":"2021-09-30T09:26:12.884Z","updated_at":"2021-09-30T09:26:12.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":583,"name":"Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Saudi Arabia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3308,"fairsharing_record_id":2726,"organisation_id":2411,"relation":"maintains","created_at":"2021-09-30T09:26:12.917Z","updated_at":"2021-09-30T09:26:12.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":2411,"name":"Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Saudi Arabia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2740","type":"fairsharing_records","attributes":{"created_at":"2018-12-14T11:25:18.000Z","updated_at":"2024-06-11T10:26:54.354Z","metadata":{"doi":"10.25504/FAIRsharing.blUMRx","name":"Genome-Wide Association Studies Catalog","status":"ready","contacts":[{"contact_name":"GWAS Catalog Helpdesk","contact_email":"gwas-info@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/gwas/","citations":[{"doi":"10.1093/nar/gky1120","pubmed_id":30445434,"publication_id":2761}],"identifier":2740,"description":"The Genome-Wide Association Studies (GWAS) Catalog provides a consistent, searchable, visualisable and freely available database of published SNP-trait associations, which can be easily integrated with other resources, and is accessed by scientists, clinicians and other users worldwide. Within the Catalog, all eligible GWA studies are identified by literature search and assessed by curators, who then extract the reported trait, significant SNP-trait associations, and sample metadata. The Catalog also publishes a GWAS diagram of SNP-trait associations, mapped onto the human genome by chromosomal location and displayed on the human karyotype. Since 2010, delivery and development of the Catalog has been a collaborative project between the EMBL-EBI and NHGRI. Since 2108 we have accepted statistics files for eligible publications, these can be submitted prior to publication. https://www.ebi.ac.uk/gwas/deposition","abbreviation":"GWAS Catalog","data_curation":{"url":"https://www.ebi.ac.uk/gwas/docs/about","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/gwas/docs/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/gwas/docs/about","name":"About the GWAS Catalog","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/downloads/summary-statistics","name":"Summary Statistics","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/docs","name":"Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/ancestry","name":"Ancestry Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/docs/related-resources","name":"GWAS Training Materials","type":"Training documentation"},{"url":"https://twitter.com/GWASCatalog","name":"@GWASCatalog","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/gwas/diagram","name":"GWAS Diagram"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100014209","name":"re3data:r3d100014209","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012745","name":"SciCrunch:RRID:SCR_012745","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/gwas/deposition","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001238","bsg-d001238"],"name":"FAIRsharing record for: Genome-Wide Association Studies Catalog","abbreviation":"GWAS Catalog","url":"https://fairsharing.org/10.25504/FAIRsharing.blUMRx","doi":"10.25504/FAIRsharing.blUMRx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome-Wide Association Studies (GWAS) Catalog provides a consistent, searchable, visualisable and freely available database of published SNP-trait associations, which can be easily integrated with other resources, and is accessed by scientists, clinicians and other users worldwide. Within the Catalog, all eligible GWA studies are identified by literature search and assessed by curators, who then extract the reported trait, significant SNP-trait associations, and sample metadata. The Catalog also publishes a GWAS diagram of SNP-trait associations, mapped onto the human genome by chromosomal location and displayed on the human karyotype. Since 2010, delivery and development of the Catalog has been a collaborative project between the EMBL-EBI and NHGRI. Since 2108 we have accepted statistics files for eligible publications, these can be submitted prior to publication. https://www.ebi.ac.uk/gwas/deposition","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12830},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16199},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20007}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Comparative Genomics"],"domains":["Single nucleotide polymorphism","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":2465,"pubmed_id":27899670,"title":"The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog).","year":2016,"url":"http://doi.org/10.1093/nar/gkw1133","authors":"MacArthur J,Bowler E,Cerezo M,Gil L,Hall P,Hastings E,Junkins H,McMahon A,Milano A,Morales J,Pendlington ZM,Welter D,Burdett T,Hindorff L,Flicek P,Cunningham F,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1133","created_at":"2021-09-30T08:27:02.266Z","updated_at":"2021-09-30T11:29:36.844Z"},{"id":2761,"pubmed_id":30445434,"title":"The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky1120","authors":"Buniello A,MacArthur JAL,Cerezo M,Harris LW,Hayhurst J,Malangone C,McMahon A,Morales J,Mountjoy E,Sollis E,Suveges D,Vrousgou O,Whetzel PL,Amode R,Guillen JA,Riat HS,Trevanion SJ,Hall P,Junkins H,Flicek P,Burdett T,Hindorff LA,Cunningham F,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1120","created_at":"2021-09-30T08:27:39.385Z","updated_at":"2021-09-30T11:29:43.029Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1062,"relation":"undefined"}],"grants":[{"id":3335,"fairsharing_record_id":2740,"organisation_id":1998,"relation":"maintains","created_at":"2021-09-30T09:26:13.824Z","updated_at":"2021-09-30T09:26:13.824Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3333,"fairsharing_record_id":2740,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:13.777Z","updated_at":"2021-09-30T09:26:13.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3334,"fairsharing_record_id":2740,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:13.800Z","updated_at":"2021-09-30T09:31:19.875Z","grant_id":1122,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"2U41HG007823","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbElEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--72e2f2f3bb293cbdff6fc39b366ebe218970f802/GWAS_Cat_loho.jpeg?disposition=inline","exhaustive_licences":false}},{"id":"2741","type":"fairsharing_records","attributes":{"created_at":"2018-12-14T12:15:28.000Z","updated_at":"2023-05-05T10:57:21.692Z","metadata":{"doi":"10.25504/FAIRsharing.33269d","name":"Human Transcriptional Regulation Interactions database","status":"deprecated","contacts":[{"contact_name":"Ney Lemke","contact_email":"ney.lemke@unesp.br","contact_orcid":null}],"homepage":"http://www.lbbc.ibb.unesp.br/htri/index.jsp","citations":[{"doi":"10.1186/1471-2164-13-405","pubmed_id":22900683,"publication_id":2487}],"identifier":2741,"description":"The Human Transcriptional Regulation Interactions database (HTRIdb) is a repository of experimentally verified interactions among human transcription factors (TFs) and their respective target genes. It has been constructed to be an open-access and user-friendly database from which data on regulatory interactions among human TFs and their respective target genes can be easily extracted and then used, among other purposes, for building a global or a biological process-specific network of human transcriptional regulation interactions.","abbreviation":"HTRIdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.lbbc.ibb.unesp.br/htri/ava.jsp?f=n","name":"Contact Form","type":"Contact form"},{"url":"http://www.lbbc.ibb.unesp.br/htri/statistics.jsp","name":"Statistics","type":"Help documentation"},{"url":"http://www.lbbc.ibb.unesp.br/htri/tutorial.jsp","name":"Tutorial","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001239","bsg-d001239"],"name":"FAIRsharing record for: Human Transcriptional Regulation Interactions database","abbreviation":"HTRIdb","url":"https://fairsharing.org/10.25504/FAIRsharing.33269d","doi":"10.25504/FAIRsharing.33269d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Transcriptional Regulation Interactions database (HTRIdb) is a repository of experimentally verified interactions among human transcription factors (TFs) and their respective target genes. It has been constructed to be an open-access and user-friendly database from which data on regulatory interactions among human TFs and their respective target genes can be easily extracted and then used, among other purposes, for building a global or a biological process-specific network of human transcriptional regulation interactions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12831}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science"],"domains":["Experimental measurement","Regulation of gene expression","Biological regulation","Molecular interaction","Transcription factor","Experimentally determined","Regulatory region","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Brazil"],"publications":[{"id":2487,"pubmed_id":22900683,"title":"HTRIdb: an open-access database for experimentally verified human transcriptional regulation interactions.","year":2012,"url":"http://doi.org/10.1186/1471-2164-13-405","authors":"Bovolenta LA,Acencio ML,Lemke N","journal":"BMC Genomics","doi":"10.1186/1471-2164-13-405","created_at":"2021-09-30T08:27:04.930Z","updated_at":"2021-09-30T08:27:04.930Z"}],"licence_links":[],"grants":[{"id":3336,"fairsharing_record_id":2741,"organisation_id":1666,"relation":"maintains","created_at":"2021-09-30T09:26:13.850Z","updated_at":"2021-09-30T09:26:13.850Z","grant_id":null,"is_lead":true,"saved_state":{"id":1666,"name":"Laboratorio de Bioinformatica e Biofisica Computacional, Departamento de Fisica e Biofisica, Instituto de Biociencias de Botucatu, Brazil","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2742","type":"fairsharing_records","attributes":{"created_at":"2018-12-14T13:50:55.000Z","updated_at":"2023-12-15T10:31:33.539Z","metadata":{"doi":"10.25504/FAIRsharing.c7edd8","name":"Human Genetic Variation Database","status":"ready","contacts":[{"contact_name":"HGVD Helpdesk","contact_email":"hgvd@genome.med.kyoto-u.ac.jp"}],"homepage":"http://www.hgvd.genome.med.kyoto-u.ac.jp/","citations":[{"doi":"10.1038/jhg.2016.12","pubmed_id":26911352,"publication_id":2503}],"identifier":2742,"description":"The Human Genetic Variation Database (HGVD) aims to provide a central resource to archive and display Japanese genetic variation and association between the variation and transcription level of genes. The database currently contains genetic variations determined by exome sequencing of 1,208 individuals and genotyping data of common variations obtained from a cohort of 3,248 individuals. The HGVD browser can be used to view allele and genotype frequencies, number of samples, coverages, and expression QTL (eQTL) significances.","abbreviation":"HGVD","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/manual.html","name":"HGVD User Manual","type":"Help documentation"},{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/about.html","name":"About HGVD","type":"Help documentation"},{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/statistics.html","name":"HGVD Statistics","type":"Help documentation"},{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/link.html","name":"Associated Links","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012433","name":"re3data:r3d100012433","portal":"re3data"}],"data_access_condition":{"url":"https://www.hgvd.genome.med.kyoto-u.ac.jp/repository.html","type":"partially open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001240","bsg-d001240"],"name":"FAIRsharing record for: Human Genetic Variation Database","abbreviation":"HGVD","url":"https://fairsharing.org/10.25504/FAIRsharing.c7edd8","doi":"10.25504/FAIRsharing.c7edd8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Genetic Variation Database (HGVD) aims to provide a central resource to archive and display Japanese genetic variation and association between the variation and transcription level of genes. The database currently contains genetic variations determined by exome sequencing of 1,208 individuals and genotyping data of common variations obtained from a cohort of 3,248 individuals. The HGVD browser can be used to view allele and genotype frequencies, number of samples, coverages, and expression QTL (eQTL) significances.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12832}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science","Comparative Genomics"],"domains":["Genome visualization","Transcript","Gene","Quantitative trait loci","Genome","Sequence variant"],"taxonomies":["Homo sapiens"],"user_defined_tags":["genomic variation"],"countries":["Japan"],"publications":[{"id":2503,"pubmed_id":26911352,"title":"Human genetic variation database, a reference database of genetic variations in the Japanese population.","year":2016,"url":"http://doi.org/10.1038/jhg.2016.12","authors":"Higasa K,Miyake N,Yoshimura J,Okamura K,Niihori T,Saitsu H,Doi K,Shimizu M,Nakabayashi K,Aoki Y,Tsurusaki Y,Morishita S,Kawaguchi T,Migita O,Nakayama K,Nakashima M,Mitsui J,Narahara M,Hayashi K,Funayama R,Yamaguchi D,Ishiura H,Ko WY,Hata K,Nagashima T,Yamada R,Matsubara Y,Umezawa A,Tsuji S,Matsumoto N,Matsuda F","journal":"J Hum Genet","doi":"10.1038/jhg.2016.12","created_at":"2021-09-30T08:27:07.213Z","updated_at":"2021-09-30T08:27:07.213Z"}],"licence_links":[{"licence_name":"HGVD Terms of Use","licence_id":391,"licence_url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/about.html","link_id":1321,"relation":"undefined"}],"grants":[{"id":3337,"fairsharing_record_id":2742,"organisation_id":1654,"relation":"maintains","created_at":"2021-09-30T09:26:13.877Z","updated_at":"2021-09-30T09:26:13.877Z","grant_id":null,"is_lead":true,"saved_state":{"id":1654,"name":"Kyoto University, Kyoto, Japan","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3338,"fairsharing_record_id":2742,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:26:13.900Z","updated_at":"2021-09-30T09:32:21.486Z","grant_id":1583,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","grant":"Research Grant (201238002A) for Intractable Diseases","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2727","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T14:24:21.000Z","updated_at":"2023-06-22T18:01:06.049Z","metadata":{"doi":"10.25504/FAIRsharing.w7Yuyx","name":"PhytoMine","status":"ready","homepage":"https://phytozome.jgi.doe.gov/phytomine/","identifier":2727,"description":"An InterMine interface to data from Phytozome","abbreviation":"PhytoMine","data_curation":{"url":"https://phytozome-next.jgi.doe.gov/phytomine/begin.do","type":"manual/automated","notes":"Data generated from automatic pipelines but also from members of the community"},"support_links":[{"url":"https://phytozome.jgi.doe.gov/intermine/start.html","name":"PhytoMine Help Pages","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001225","bsg-d001225"],"name":"FAIRsharing record for: PhytoMine","abbreviation":"PhytoMine","url":"https://fairsharing.org/10.25504/FAIRsharing.w7Yuyx","doi":"10.25504/FAIRsharing.w7Yuyx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An InterMine interface to data from Phytozome","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11690},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12825}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["Expression data","Gene expression","Protein","Transcript","Amino acid sequence","Orthologous","Paralogous"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1248,"relation":"undefined"}],"grants":[{"id":3309,"fairsharing_record_id":2727,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:26:12.942Z","updated_at":"2021-09-30T09:26:12.942Z","grant_id":null,"is_lead":true,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2728","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T14:45:28.000Z","updated_at":"2023-11-21T13:45:50.126Z","metadata":{"doi":"10.25504/FAIRsharing.84Ltoq","name":"PlanMine","status":"ready","contacts":[{"contact_name":"Jochen C Rink","contact_email":"rink@mpi-cbg.de"},{"contact_name":"General Contact","contact_email":"planmine@mpibpc.mpg.de","contact_orcid":null}],"homepage":"http://planmine.mpibpc.mpg.de/planmine/begin.do","citations":[{"doi":"10.1093/nar/gky1070","pubmed_id":30496475,"publication_id":2368}],"identifier":2728,"description":"PlanMine is an integrated web resource of data \u0026 tools to mine Planarian biology. Transcriptomes and the genome of the planarian model species S. mediterranea are available, as well as transcriptomes of “wild” planarian species and a broad range of parasitic and non-parasitic flatworms for comparative analysis. PlanMine can be searched by sequence (using BLAST) or by annotation. Mineable information includes BLAST homologies, GO-terms, orthologues in other planarian species, gene expression information and taxonomic information on the represented species.","abbreviation":"PlanMine","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgky1070","type":"automated"},"support_links":[{"url":"https://planmine.mpibpc.mpg.de/planmine/user_guide.html","name":"PlanMine User Guide","type":"Help documentation"},{"url":"https://groups.google.com/forum/#!forum/planmine-news","name":"PlanMine News","type":"Help documentation"},{"url":"https://planmine.mpibpc.mpg.de/planmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://planmine.mpibpc.mpg.de/planmine/community.do#ad-image-0","name":"Community","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"https://planmine.mpibpc.mpg.de/planmine/blast.do","name":"BLAST for PlanMine"},{"url":"https://planmine.mpibpc.mpg.de/planmine/genome.do","name":"UCSC Genome Browser View"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://planmine.mpibpc.mpg.de/planmine/user_guide.html#submit-data-to-planmine","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001226","bsg-d001226"],"name":"FAIRsharing record for: PlanMine","abbreviation":"PlanMine","url":"https://fairsharing.org/10.25504/FAIRsharing.84Ltoq","doi":"10.25504/FAIRsharing.84Ltoq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PlanMine is an integrated web resource of data \u0026 tools to mine Planarian biology. Transcriptomes and the genome of the planarian model species S. mediterranea are available, as well as transcriptomes of “wild” planarian species and a broad range of parasitic and non-parasitic flatworms for comparative analysis. PlanMine can be searched by sequence (using BLAST) or by annotation. Mineable information includes BLAST homologies, GO-terms, orthologues in other planarian species, gene expression information and taxonomic information on the represented species.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11691}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Contig","Transcript","Gene"],"taxonomies":["Bothrioplana semperi","Dendrocoelum lacteum","Dugesia japonica","Echinococcus granulosus","Echinococcus multilocularis","Geocentrophora applanata","Gnosonesimida sp. IV CEL-2015","Hymenolepis microstoma","Kronborgia cf. amphipodicola CEL-2017","Macrostomum lignano","Microstomum lineare","Planaria torva","Polycelis nigra","Polycelis tenuis","Prorhynchus alpinus","Prostheceraeus vittatus","Protomonotresidae sp. n. CEL-2015","Rhychomesostoma rostratum","Schistosoma mansoni","Schmidtea mediterranea","Schmidtea mediterranea S2F2","Schmidtea polychroa","Stylochus ellipticus","Taenia solium"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2368,"pubmed_id":30496475,"title":"PlanMine 3.0-improvements to a mineable resource of flatworm biology and biodiversity.","year":2018,"url":"http://doi.org/10.1093/nar/gky1070","authors":"Rozanski A,Moon H,Brandl H,Martin-Duran JM,Grohme MA,Huttner K,Bartscherer K,Henry I,Rink JC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1070","created_at":"2021-09-30T08:26:51.167Z","updated_at":"2021-09-30T11:29:34.211Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":784,"relation":"undefined"}],"grants":[{"id":3310,"fairsharing_record_id":2728,"organisation_id":1796,"relation":"maintains","created_at":"2021-09-30T09:26:12.966Z","updated_at":"2021-09-30T09:26:12.966Z","grant_id":null,"is_lead":true,"saved_state":{"id":1796,"name":"Max Plank Institute of Molecular Cell Biology and Genetics (MPI-CBG), Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3311,"fairsharing_record_id":2728,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:12.992Z","updated_at":"2021-09-30T09:32:21.130Z","grant_id":1580,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"European Union's Horizon 2020 (grant agreement number 649024)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaG9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--986c01ceeba724469426734ed2d4fc490a4e65ca/planmine.png?disposition=inline","exhaustive_licences":false}},{"id":"2737","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T12:58:53.000Z","updated_at":"2023-12-15T10:33:05.666Z","metadata":{"doi":"10.25504/FAIRsharing.4Vs9VM","name":"The International Genome Sample Resource","status":"ready","contacts":[{"contact_name":"General Information","contact_email":"info@1000genomes.org"}],"homepage":"https://www.internationalgenome.org/","citations":[{"doi":"10.1093/nar/gkz836","pubmed_id":31584097,"publication_id":2779}],"identifier":2737,"description":"The International Genome Sample Resource (IGSR) was established to ensure the ongoing usability of data generated by the 1000 Genomes Project and to extend the data set. The 1000 Genomes Project ran between 2008 and 2015, creating the largest public catalogue of human variation and genotype data. As the project ended, the Data Coordination Centre at EMBL-EBI has received continued funding from the Wellcome Trust to maintain and expand the resource. IGSR was set up to do this and has the following aims: ensure the future access to and usability of the 1000 Genomes reference data; incorporate additional published genomic data on the 1000 Genomes samples; and expand the data collection to include new populations not represented in the 1000 Genomes Project.","abbreviation":"IGSR","data_curation":{"type":"not found"},"support_links":[{"url":"info@1000genomes.org","name":"Email helpdesk","type":"Support email"},{"url":"https://www.internationalgenome.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.internationalgenome.org/1000-genomes-browsers","name":"How To Access IGSR via Genome Browsers","type":"Help documentation"},{"url":"https://www.internationalgenome.org/about","name":"About IGSR","type":"Help documentation"},{"url":"https://www.internationalgenome.org/sample_collection_principles","name":"Sample Collection Principles","type":"Help documentation"},{"url":"https://www.internationalgenome.org/tools","name":"Software Used","type":"Help documentation"},{"url":"https://www.internationalgenome.org/data#download","name":"How to Download Data","type":"Help documentation"},{"url":"https://www.internationalgenome.org/announcements","name":"Announcements","type":"Help documentation"},{"url":"https://www.internationalgenome.org/data","name":"Using Data","type":"Help documentation"},{"url":"https://www.internationalgenome.org/formats","name":"Supported File Formats","type":"Help documentation"},{"url":"https://www.internationalgenome.org/analysis","name":"Analysis Pipeline","type":"Help documentation"},{"url":"https://twitter.com/1000genomes","name":"@1000genomes","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"http://grch37.ensembl.org/info/docs/tools/index.html","name":"Ensembl tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010180","name":"re3data:r3d100010180","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006828","name":"SciCrunch:RRID:SCR_006828","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.internationalgenome.org/data-portal/sample","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001235","bsg-d001235"],"name":"FAIRsharing record for: The International Genome Sample Resource","abbreviation":"IGSR","url":"https://fairsharing.org/10.25504/FAIRsharing.4Vs9VM","doi":"10.25504/FAIRsharing.4Vs9VM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Genome Sample Resource (IGSR) was established to ensure the ongoing usability of data generated by the 1000 Genomes Project and to extend the data set. The 1000 Genomes Project ran between 2008 and 2015, creating the largest public catalogue of human variation and genotype data. As the project ended, the Data Coordination Centre at EMBL-EBI has received continued funding from the Wellcome Trust to maintain and expand the resource. IGSR was set up to do this and has the following aims: ensure the future access to and usability of the 1000 Genomes reference data; incorporate additional published genomic data on the 1000 Genomes samples; and expand the data collection to include new populations not represented in the 1000 Genomes Project.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12829}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Comparative Genomics"],"domains":["Genome visualization","Genome","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["genomic variation"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2496,"pubmed_id":26432245,"title":"A global reference for human genetic variation.","year":2015,"url":"http://doi.org/10.1038/nature15393","authors":"Auton A,Brooks LD,Durbin RM,Garrison EP,Kang HM,Korbel JO,Marchini JL,McCarthy S,McVean GA,Abecasis GR","journal":"Nature","doi":"10.1038/nature15393","created_at":"2021-09-30T08:27:06.070Z","updated_at":"2021-09-30T08:27:06.070Z"},{"id":2779,"pubmed_id":31584097,"title":"The International Genome Sample Resource (IGSR) collection of open human genomic variation resources.","year":2019,"url":"http://doi.org/10.1093/nar/gkz836","authors":"Fairley S,Lowy-Gallego E,Perry E,Flicek P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz836","created_at":"2021-09-30T08:27:41.626Z","updated_at":"2021-09-30T11:29:44.188Z"}],"licence_links":[{"licence_name":"International Genome Sample Resource (IGSR) Disclaimer, Privacy and Cookies","licence_id":445,"licence_url":"https://www.internationalgenome.org/IGSR_disclaimer","link_id":1888,"relation":"undefined"}],"grants":[{"id":3329,"fairsharing_record_id":2737,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:13.642Z","updated_at":"2021-09-30T09:26:13.642Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3330,"fairsharing_record_id":2737,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:13.673Z","updated_at":"2021-09-30T09:32:45.820Z","grant_id":1767,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT104947/Z/14/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2739","type":"fairsharing_records","attributes":{"created_at":"2019-03-05T11:10:11.000Z","updated_at":"2022-07-20T12:38:41.662Z","metadata":{"doi":"10.25504/FAIRsharing.EtYkWo","name":"Banana Breeding Tracker Database","status":"deprecated","contacts":[{"contact_name":"The Director, ICAR-National Research Centre for Banana","contact_email":"directornrcb@gmail.com"}],"homepage":"http://nrcbbioinfo.byethost33.com/bbtbase/index.php","identifier":2739,"description":"The Banana Breeding Tracker Database (BBTbase) is a database of banana breeding information and allows users to input data from multiple stages in banana crop production, including hybridization, seed extraction, culturing, and hardening. This database also provides quick responsive (QR) codes for labelling. BBTbase has been developed at ICAR-NRCB to monitor banana breeding programs.","abbreviation":"BBTbase","data_curation":{"type":"not found"},"support_links":[{"url":"http://nrcbbioinfo.byethost33.com/bbtbase/about.php","name":"Contact Form","type":"Contact form"}],"year_creation":2018,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001237","bsg-d001237"],"name":"FAIRsharing record for: Banana Breeding Tracker Database","abbreviation":"BBTbase","url":"https://fairsharing.org/10.25504/FAIRsharing.EtYkWo","doi":"10.25504/FAIRsharing.EtYkWo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Breeding Tracker Database (BBTbase) is a database of banana breeding information and allows users to input data from multiple stages in banana crop production, including hybridization, seed extraction, culturing, and hardening. This database also provides quick responsive (QR) codes for labelling. BBTbase has been developed at ICAR-NRCB to monitor banana breeding programs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Plant Breeding","Agriculture","Plant Cultivation"],"domains":["Life cycle stage"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":3332,"fairsharing_record_id":2739,"organisation_id":1330,"relation":"maintains","created_at":"2021-09-30T09:26:13.744Z","updated_at":"2021-09-30T09:26:13.744Z","grant_id":null,"is_lead":true,"saved_state":{"id":1330,"name":"Indian Council of Agricultural Research (ICAR) - National Research Centre for Banana, India","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2733","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T11:09:42.000Z","updated_at":"2024-06-11T10:26:50.855Z","metadata":{"doi":"10.25504/FAIRsharing.250fc8","name":"Hymenoptera Genome Database","status":"ready","contacts":[{"contact_email":"hymenopteragenomedatabase@gmail.com"}],"homepage":"http://hymenopteragenome.org/","citations":[{"doi":"10.1093/nar/gkv1208","pubmed_id":26578564,"publication_id":2335}],"identifier":2733,"description":"The Hymenoptera Genome Database (HGD) is a genome informatics resource that supports the research of insects of the order Hymenoptera (e.g. bees, wasps, ants). HGD is divided into three main divisions: BeeBase, which hosts bee genomes and the Bee Pests and Pathogens resource; NasoniaBase, which hosts the genome of the Jewel wasp (Nasonia vitripennis); and the Ant Genomes Portal, which hosts the genomes of several ant species.","abbreviation":"HGD","data_curation":{"type":"not found"},"support_links":[{"url":"http://hymenopteragenome.org/?q=about","name":"About HGD","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"http://hymenopteragenome.org/ant_genomes/","name":"Ant Genomes Portal"},{"url":"http://hymenopteragenome.org/nasonia/","name":"NasoniaBase"},{"url":"http://hymenopteragenome.org/beebase/","name":"BeeBase"},{"url":"http://hymenopteragenome.org/hymenopteramine/begin.do","name":"HymenopteraMine v1.4"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010925","name":"re3data:r3d100010925","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008966","name":"SciCrunch:RRID:SCR_008966","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://hymenoptera.elsiklab.missouri.edu/contributing_data","type":"controlled","notes":"New gene sets and assemblies must have been submitted to NCBI."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001231","bsg-d001231"],"name":"FAIRsharing record for: Hymenoptera Genome Database","abbreviation":"HGD","url":"https://fairsharing.org/10.25504/FAIRsharing.250fc8","doi":"10.25504/FAIRsharing.250fc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hymenoptera Genome Database (HGD) is a genome informatics resource that supports the research of insects of the order Hymenoptera (e.g. bees, wasps, ants). HGD is divided into three main divisions: BeeBase, which hosts bee genomes and the Bee Pests and Pathogens resource; NasoniaBase, which hosts the genome of the Jewel wasp (Nasonia vitripennis); and the Ant Genomes Portal, which hosts the genomes of several ant species.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15727}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science"],"domains":["Genome visualization","Genome"],"taxonomies":["Acromyrmex echinatior","Apis","Apis cerana","Apis dorsata","Apis florea","Apis mellifera","Atta Cephalotes","Bombus","Bombus impatiens","Bombus terrestris","Camponotus floridanus","Cardiocondyla obscurior","Ceratina calcarata","Cobria biroi","Drosophila","Dufourea novaeangliae","Erlandia mexicana","Habropoda laboriosa","Harpegnathos saltator","Lasioglossum albipes","Linepithema humile","Megachile rotundata","Melipona quadrifasciata","Monomorium pharaonis","Nasonia vitripennis","Pogonomyrmex barbatus","Solenopsis invicta","Wasmannia auropunctata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2335,"pubmed_id":26578564,"title":"Hymenoptera Genome Database: integrating genome annotations in HymenopteraMine.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1208","authors":"Elsik CG,Tayal A,Diesh CM,Unni DR,Emery ML,Nguyen HN,Hagen DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1208","created_at":"2021-09-30T08:26:46.726Z","updated_at":"2021-09-30T11:29:33.303Z"}],"licence_links":[{"licence_name":"HGD Data Usage Policy","licence_id":390,"licence_url":"http://hymenopteragenome.org/?q=data_usage_policy","link_id":1443,"relation":"undefined"}],"grants":[{"id":3322,"fairsharing_record_id":2733,"organisation_id":3098,"relation":"maintains","created_at":"2021-09-30T09:26:13.408Z","updated_at":"2021-09-30T09:26:13.408Z","grant_id":null,"is_lead":true,"saved_state":{"id":3098,"name":"University of Missouri, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3321,"fairsharing_record_id":2733,"organisation_id":44,"relation":"funds","created_at":"2021-09-30T09:26:13.385Z","updated_at":"2021-09-30T09:30:23.992Z","grant_id":695,"is_lead":false,"saved_state":{"id":44,"name":"Agriculture and Food Research Initiative (AFRI), National Institute of Food and Agriculture, Washington, DC, USA","grant":"Agriculture and Food Research Initiative Competitive grant no. 2018-67013-27536","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3320,"fairsharing_record_id":2733,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:13.352Z","updated_at":"2021-09-30T09:31:59.436Z","grant_id":1419,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","grant":"USDA Hatch Project 1009273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8367,"fairsharing_record_id":2733,"organisation_id":44,"relation":"funds","created_at":"2021-09-30T09:32:17.871Z","updated_at":"2021-09-30T09:32:17.925Z","grant_id":1554,"is_lead":false,"saved_state":{"id":44,"name":"Agriculture and Food Research Initiative (AFRI), National Institute of Food and Agriculture, Washington, DC, USA","grant":"Agriculture and Food Research Initiative Competitive grant no. 2010-65205-20407","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2734","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T11:20:18.000Z","updated_at":"2023-12-15T10:31:59.140Z","metadata":{"doi":"10.25504/FAIRsharing.83d06b","name":"Phytozome","status":"ready","contacts":[{"contact_name":"David M Goodstein","contact_email":"dmgoodstein@lbl.gov","contact_orcid":"0000-0001-6287-2697"}],"homepage":"https://phytozome.jgi.doe.gov/pz/portal.html","identifier":2734,"description":"Phytozome, the Plant Comparative Genomics portal of the Department of Energy's Joint Genome Institute, provides JGI users and the broader plant science community a hub for accessing, visualizing and analyzing JGI-sequenced plant genomes, as well as selected genomes and datasets that have been sequenced elsewhere. Search and visualization tools let users quickly find and analyze genes or genomic regions of interest.","abbreviation":"Phytozome","data_curation":{"url":"https://phytozome-next.jgi.doe.gov/","type":"manual/automated"},"support_links":[{"url":"https://phytozome.jgi.doe.gov/pz/portal.html#!news","name":"Phytozome News","type":"Blog/News"},{"url":"jschmutz@hudsonalpha.org","name":"Jeremy Schmutz","type":"Support email"},{"url":"phytozome@jgi-psf.org","name":"General Contact","type":"Support email"},{"url":"https://phytozome.jgi.doe.gov/pz/FAQ.html","name":"Phytozome FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://phytozome.jgi.doe.gov/pz/QuickStart.html","name":"Phytozome Quick Start","type":"Help documentation"},{"url":"sympa@lists.lbl.gov","name":"LBL Mailing list","type":"Mailing list"},{"url":"https://phytozome.jgi.doe.gov/pz/portal.html#!releaseNotes","name":"Phytozome Release Notes","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010850","name":"re3data:r3d100010850","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006507","name":"SciCrunch:RRID:SCR_006507","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001232","bsg-d001232"],"name":"FAIRsharing record for: Phytozome","abbreviation":"Phytozome","url":"https://fairsharing.org/10.25504/FAIRsharing.83d06b","doi":"10.25504/FAIRsharing.83d06b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Phytozome, the Plant Comparative Genomics portal of the Department of Energy's Joint Genome Institute, provides JGI users and the broader plant science community a hub for accessing, visualizing and analyzing JGI-sequenced plant genomes, as well as selected genomes and datasets that have been sequenced elsewhere. Search and visualization tools let users quickly find and analyze genes or genomic regions of interest.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science","Comparative Genomics"],"domains":["Genome visualization","Gene","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2715,"pubmed_id":22110026,"title":"Phytozome: a comparative platform for green plant genomics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr944","authors":"Goodstein DM,Shu S,Howson R,Neupane R,Hayes RD,Fazo J,Mitros T,Dirks W,Hellsten U,Putnam N,Rokhsar DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr944","created_at":"2021-09-30T08:27:33.411Z","updated_at":"2021-09-30T11:29:41.786Z"}],"licence_links":[{"licence_name":"JGI disclaimer","licence_id":470,"licence_url":"https://jgi.doe.gov/disclaimer/","link_id":1905,"relation":"undefined"}],"grants":[{"id":3323,"fairsharing_record_id":2734,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:26:13.434Z","updated_at":"2021-09-30T09:26:13.434Z","grant_id":null,"is_lead":true,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2735","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T12:12:26.000Z","updated_at":"2023-12-15T10:30:23.891Z","metadata":{"doi":"10.25504/FAIRsharing.9HiHNn","name":"WheatMine","status":"ready","contacts":[{"contact_email":"urgi-contact@inra.fr"}],"homepage":"https://urgi.versailles.inra.fr/WheatMine/begin.do","identifier":2735,"description":"WheatMine integrates many types of data for Triticum aestivum including gene model, markers, and scaffolds. You can run flexible queries, export results and analyse lists of data.","abbreviation":"WheatMine","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://urgi.versailles.inra.fr/WheatMine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001233","bsg-d001233"],"name":"FAIRsharing record for: WheatMine","abbreviation":"WheatMine","url":"https://fairsharing.org/10.25504/FAIRsharing.9HiHNn","doi":"10.25504/FAIRsharing.9HiHNn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WheatMine integrates many types of data for Triticum aestivum including gene model, markers, and scaffolds. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11696},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16732}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Genome"],"taxonomies":["Triticum aestivum"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":697,"relation":"undefined"}],"grants":[{"id":3324,"fairsharing_record_id":2735,"organisation_id":2919,"relation":"maintains","created_at":"2021-09-30T09:26:13.458Z","updated_at":"2021-09-30T09:26:13.458Z","grant_id":null,"is_lead":true,"saved_state":{"id":2919,"name":"Unité de Recherche Genomique Info (URGI), Institut National de la Recherche Agronomique (INRA), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2736","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T12:31:27.000Z","updated_at":"2023-12-15T10:28:41.862Z","metadata":{"doi":"10.25504/FAIRsharing.a1de61","name":"The Track Hub Registry","status":"ready","contacts":[{"contact_name":"The Track Hub Registry Helpdesk","contact_email":"helpdesk@trackhubregistry.org"}],"homepage":"https://www.trackhubregistry.org/","citations":[],"identifier":2736,"description":"The Track Hub Registry is a global centralised collection of publicly accessible track hubs. Its goal is to allow third parties to advertise track hubs, and to make it easier for researchers around the world to discover and use track hubs containing different types of genomic research data.","abbreviation":null,"data_curation":{"url":"http://genome.ucsc.edu/goldenPath/help/hgTrackHubHelp.html#Setup","type":"automated","notes":"Automatic validation"},"support_links":[{"url":"https://www.trackhubregistry.org/help","name":"Contact Form","type":"Contact form"},{"url":"https://www.trackhubregistry.org/docs/search","name":"Search Documentation","type":"Help documentation"},{"url":"https://www.trackhubregistry.org/docs/management/overview","name":"Information on Registration","type":"Help documentation"},{"url":"https://www.trackhubregistry.org/about","name":"About the Track Hub Registry","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.trackhubregistry.org/","type":"open","notes":"Registration is required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001234","bsg-d001234"],"name":"FAIRsharing record for: The Track Hub Registry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.a1de61","doi":"10.25504/FAIRsharing.a1de61","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Track Hub Registry is a global centralised collection of publicly accessible track hubs. Its goal is to allow third parties to advertise track hubs, and to make it easier for researchers around the world to discover and use track hubs containing different types of genomic research data.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12828}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Genome visualization","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1732,"relation":"undefined"},{"licence_name":"TrackHub Registry Account Creation Privacy Notice","licence_id":790,"licence_url":"https://www.trackhubregistry.org/docs/privacy/registered","link_id":1734,"relation":"undefined"},{"licence_name":"TrackHub Registry Privacy Notice","licence_id":791,"licence_url":"https://www.ebi.ac.uk/data-protection/privacy-notice/trackhub-registry-anonymous-browsing","link_id":1733,"relation":"undefined"}],"grants":[{"id":3326,"fairsharing_record_id":2736,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:26:13.548Z","updated_at":"2021-09-30T09:26:13.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3325,"fairsharing_record_id":2736,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:13.487Z","updated_at":"2021-09-30T09:31:59.969Z","grant_id":1422,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT095908 and WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3327,"fairsharing_record_id":2736,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:26:13.586Z","updated_at":"2021-09-30T09:26:13.586Z","grant_id":null,"is_lead":true,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3328,"fairsharing_record_id":2736,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:13.619Z","updated_at":"2021-09-30T09:32:00.567Z","grant_id":1426,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024225/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2719","type":"fairsharing_records","attributes":{"created_at":"2018-11-30T19:49:45.000Z","updated_at":"2023-06-23T09:46:21.074Z","metadata":{"doi":"10.25504/FAIRsharing.uovQrT","name":"Vivli","status":"ready","contacts":[{"contact_name":"Julie Wood","contact_email":"jwood@vivli.org"}],"homepage":"https://vivli.org/","citations":[],"identifier":2719,"description":"The Vivli data repository provides a global data-sharing and analytics platform serving all elements of the international research community. It is focused on sharing individual participant-level data from completed clinical trials to serve the international research community. Vivli acts as a neutral broker between data contributor and data user and the wider data sharing community. Vivli is a non-profit organization focused on data sharing and analysis. Vivli provides managed access for human subject clinical research data. At a minimum, Vivli will make data available for researchers for 10 years, unless they are contractually unable to do so. On an ongoing basis, Vivli evaluates its data holdings with regard to maintaining access and reserves the right to discontinue the distribution of a data collections when deemed appropriate.When materials are deaccessioned, the data are no longer publicly accessible at Vivli, although they may still be preserved in Vivli’s storage vault. Because digital files are assigned a persistent digital object identifier (DOI), the study description is still available to view, but is not searchable through Vivli. Web crawlers are instructed to ignore the descriptions (via the robots exclusion protocol).\nFor more information about Vivli’s policy, please contact Vivli at support@vivli.org\nIt provides a no-charge period for data only available within their secure research environment. There are costs after the no-charge time period ends. Vivli supports managed access as well as embargoing generally and during peer review. Vivli is funded via grants and member fees.","abbreviation":"Vivli","data_curation":{"url":"https://vivli.org/how-to-share-your-data-on-the-vivli-platform/","type":"manual","notes":"Vivli offers curation of the study metadata through a process overseen by Cochrane."},"support_links":[{"url":"https://www.linkedin.com/company/vivli/","name":"LinkedIn","type":"Blog/News"},{"url":"https://vivli.org/news/","name":"News \u0026 Events","type":"Blog/News"},{"url":"support@vivli.org","name":"Support Email","type":"Support email"},{"url":"https://vivli.org/resources/faqs/","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://vivli.org/resources/","name":"How-To Guide","type":"Help documentation"},{"url":"https://vivli.org/how-to-share-your-data-on-the-vivli-platform/","name":"Researcher Costs","type":"Help documentation"},{"url":"https://vivli.org/resources/vivli-secure-research-environment/","name":"About Secure Research Environments","type":"Help documentation"},{"url":"https://twitter.com/VivliCenter","name":"@VivliCenter","type":"Twitter"},{"url":"https://vivli.org/about/overview/","name":"Vivli Overview","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCxbUyLsTVHwh6Dy7_NNVUcw","name":"Vivli Youtube channel","type":"Video"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"https://vivli.org/resources/vivli-secure-research-environment/","name":"See webpage for latest PDF list of tools available as standard in the research environment"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012823","name":"re3data:r3d100012823","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018080","name":"SciCrunch:RRID:SCR_018080","portal":"SciCrunch"}],"data_access_condition":{"url":"https://vivli.org/about/data-request-review-process/","type":"controlled","notes":"Requested access to data"},"resource_sustainability":{"url":"https://vivli.org/resources/platform_metrics/","name":"More information"},"data_contact_information":"not found","data_preservation_policy":{"url":"https://vivli.org/resources/sharedata/","name":"10 year secure cloud archival. Secure storage using Microsoft Azure."},"data_deposition_condition":{"url":"https://vivli.org/how-to-share-your-data-on-the-vivli-platform/","type":"controlled","notes":"Requires Vivli Data Contribution Agreement. Provides ORCID authenticated contributors can share files up to 500 MB. Larger sizes of up to 100 TB can be accommodated. Unlimited storage per researcher."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001217","bsg-d001217"],"name":"FAIRsharing record for: Vivli","abbreviation":"Vivli","url":"https://fairsharing.org/10.25504/FAIRsharing.uovQrT","doi":"10.25504/FAIRsharing.uovQrT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vivli data repository provides a global data-sharing and analytics platform serving all elements of the international research community. It is focused on sharing individual participant-level data from completed clinical trials to serve the international research community. Vivli acts as a neutral broker between data contributor and data user and the wider data sharing community. Vivli is a non-profit organization focused on data sharing and analysis. Vivli provides managed access for human subject clinical research data. At a minimum, Vivli will make data available for researchers for 10 years, unless they are contractually unable to do so. On an ongoing basis, Vivli evaluates its data holdings with regard to maintaining access and reserves the right to discontinue the distribution of a data collections when deemed appropriate.When materials are deaccessioned, the data are no longer publicly accessible at Vivli, although they may still be preserved in Vivli’s storage vault. Because digital files are assigned a persistent digital object identifier (DOI), the study description is still available to view, but is not searchable through Vivli. Web crawlers are instructed to ignore the descriptions (via the robots exclusion protocol).\nFor more information about Vivli’s policy, please contact Vivli at support@vivli.org\nIt provides a no-charge period for data only available within their secure research environment. There are costs after the no-charge time period ends. Vivli supports managed access as well as embargoing generally and during peer review. Vivli is funded via grants and member fees.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10824},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12334},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12823},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16888}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Clinical Studies","Health Science","Virology","Biomedical Science","Preclinical Studies"],"domains":["Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Vivli Data Use Agreement","licence_id":844,"licence_url":"https://vivli.org/resources/vivli-data-use-agreement/","link_id":1913,"relation":"undefined"},{"licence_name":"Vivli Privacy Statement","licence_id":845,"licence_url":"https://vivli.org/privacy/","link_id":1912,"relation":"undefined"}],"grants":[{"id":3284,"fairsharing_record_id":2719,"organisation_id":1689,"relation":"funds","created_at":"2021-09-30T09:26:12.300Z","updated_at":"2021-09-30T09:26:12.300Z","grant_id":null,"is_lead":false,"saved_state":{"id":1689,"name":"Laura and John Arnold Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3288,"fairsharing_record_id":2719,"organisation_id":1736,"relation":"funds","created_at":"2021-09-30T09:26:12.400Z","updated_at":"2021-09-30T09:26:12.400Z","grant_id":null,"is_lead":false,"saved_state":{"id":1736,"name":"Lyda Hill Foundation, United States","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8609,"fairsharing_record_id":2719,"organisation_id":2854,"relation":"funds","created_at":"2021-11-24T15:35:28.859Z","updated_at":"2021-11-24T15:35:28.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3285,"fairsharing_record_id":2719,"organisation_id":1706,"relation":"funds","created_at":"2021-09-30T09:26:12.324Z","updated_at":"2021-09-30T09:26:12.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":1706,"name":"Leona M. and Harry B. Helmsley Charitable Trust, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3286,"fairsharing_record_id":2719,"organisation_id":1917,"relation":"maintains","created_at":"2021-09-30T09:26:12.350Z","updated_at":"2021-09-30T09:26:12.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":1917,"name":"Multi-Regional Clinical Trials Center of Brigham and Women's Hospital and Harvard (MRCT Center), United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3287,"fairsharing_record_id":2719,"organisation_id":780,"relation":"funds","created_at":"2021-09-30T09:26:12.374Z","updated_at":"2021-09-30T09:26:12.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":780,"name":"Doris Duke Charitable Foundation, United States","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3289,"fairsharing_record_id":2719,"organisation_id":2323,"relation":"funds","created_at":"2021-09-30T09:26:12.424Z","updated_at":"2021-09-30T09:26:12.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":2323,"name":"Phrma","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":8608,"fairsharing_record_id":2719,"organisation_id":217,"relation":"funds","created_at":"2021-11-24T15:35:28.848Z","updated_at":"2021-11-24T15:35:28.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2720","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T15:17:45.000Z","updated_at":"2023-06-23T10:32:23.392Z","metadata":{"doi":"10.25504/FAIRsharing.xMmOCL","name":"CORE","status":"ready","contacts":[{"contact_name":"Petr Knoth","contact_email":"petr.knoth@open.ac.uk","contact_orcid":"0000-0003-1161-7359"}],"homepage":"https://core.ac.uk","citations":[{"publication_id":2333}],"identifier":2720,"description":"CORE’s mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all. CORE supports the right of citizens and the general public to access the results of research towards which they contributed by paying taxes; facilitates access to open access content for all by offering services to general public, academic institutions, libraries, software developers, researchers, etc.; provides support to both content consumers and content providers by working with digital libraries, institutional and subject repositories and journals, ; enriches the research content using state-of-the-art technology and provides access to it through a set of services including search, API and analytical tools, ; contributes to a cultural change by promoting open access, a fast growing movement.","abbreviation":"CORE","data_curation":{"type":"not found"},"support_links":[{"url":"https://core.ac.uk/about#faqs","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"theteam@core.ac.uk","name":"CORE Team Contact","type":"Mailing list"},{"url":"https://core.ac.uk/docs/","name":"CORE API v2 Documentation","type":"Help documentation"},{"url":"https://www.fosteropenscience.eu/node/2263","name":"Introduction to Text and Data Mining","type":"Training documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"url":"https://core.ac.uk/about","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://core.ac.uk/benefits","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001218","bsg-d001218"],"name":"FAIRsharing record for: CORE","abbreviation":"CORE","url":"https://fairsharing.org/10.25504/FAIRsharing.xMmOCL","doi":"10.25504/FAIRsharing.xMmOCL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CORE’s mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all. CORE supports the right of citizens and the general public to access the results of research towards which they contributed by paying taxes; facilitates access to open access content for all by offering services to general public, academic institutions, libraries, software developers, researchers, etc.; provides support to both content consumers and content providers by working with digital libraries, institutional and subject repositories and journals, ; enriches the research content using state-of-the-art technology and provides access to it through a set of services including search, API and analytical tools, ; contributes to a cultural change by promoting open access, a fast growing movement.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Subject Agnostic"],"domains":["Text mining","Journal article","Literature curation"],"taxonomies":[],"user_defined_tags":["Open Science","Research object"],"countries":["United Kingdom"],"publications":[{"id":2333,"pubmed_id":null,"title":"CORE: three access levels to underpin open access","year":2012,"url":"https://doi.org/10.1045/november2012-knoth","authors":"Knoth, Petr and Zdrahal, Zdenek","journal":"D-Lib Magazine, 18(11/12), article no. 4","doi":null,"created_at":"2021-09-30T08:26:46.469Z","updated_at":"2021-09-30T08:26:46.469Z"}],"licence_links":[],"grants":[{"id":3290,"fairsharing_record_id":2720,"organisation_id":1600,"relation":"maintains","created_at":"2021-09-30T09:26:12.450Z","updated_at":"2021-09-30T09:26:12.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":3291,"fairsharing_record_id":2720,"organisation_id":2816,"relation":"maintains","created_at":"2021-09-30T09:26:12.474Z","updated_at":"2021-09-30T09:26:12.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":2816,"name":"The Open University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2721","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T12:27:53.000Z","updated_at":"2022-07-20T11:52:50.604Z","metadata":{"name":"Exome Aggregation Consortium Browser","status":"deprecated","contacts":[{"contact_email":"exomeconsortium@gmail.com"}],"homepage":"http://exac.broadinstitute.org/","identifier":2721,"description":"The Exome Aggregation Consortium (ExAC) is a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The ExAC Browser spans 60,706 unrelated individuals sequenced as part of various disease-specific and population genetic studies. All of the raw data from these projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects.","abbreviation":"ExAC Browser","data_curation":{"type":"not found"},"support_links":[{"url":"http://exac.broadinstitute.org/faq","name":"ExAC FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/konradjk/exac_browser/issues","name":"Issue Tracker","type":"Github"},{"url":"http://exac.broadinstitute.org/about","name":"About ExAC","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001219","bsg-d001219"],"name":"FAIRsharing record for: Exome Aggregation Consortium Browser","abbreviation":"ExAC Browser","url":"https://fairsharing.org/fairsharing_records/2721","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Exome Aggregation Consortium (ExAC) is a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The ExAC Browser spans 60,706 unrelated individuals sequenced as part of various disease-specific and population genetic studies. All of the raw data from these projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Population Genetics"],"domains":["Disease","Gene-disease association"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Exome"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ExAC Terms of Use","licence_id":304,"licence_url":"http://exac.broadinstitute.org/terms","link_id":700,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":699,"relation":"undefined"},{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":698,"relation":"undefined"}],"grants":[{"id":3292,"fairsharing_record_id":2721,"organisation_id":2748,"relation":"maintains","created_at":"2021-09-30T09:26:12.500Z","updated_at":"2021-09-30T09:26:12.500Z","grant_id":null,"is_lead":true,"saved_state":{"id":2748,"name":"The Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02140, USA.","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2717","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T13:54:02.000Z","updated_at":"2023-06-23T11:17:50.345Z","metadata":{"doi":"10.25504/FAIRsharing.6YaUQm","name":"CHOmine","status":"ready","contacts":[{"contact_email":"nicole.borth@boku.ac.at"}],"homepage":"https://chomine.boku.ac.at/chomine","citations":[{"doi":"10.1093/database/bax034","pubmed_id":28605771,"publication_id":2369}],"identifier":2717,"description":"CHOmine integrates many types of data for Cricetulus griseus, and CHO cells. You can run flexible queries, export results and analyse lists of data.","abbreviation":"CHOmine","data_curation":{"type":"none"},"support_links":[{"url":"https://chomine.boku.ac.at/chomodel/","name":"Data Model","type":"Help documentation"},{"url":"https://chomine.boku.ac.at/chomine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001215","bsg-d001215"],"name":"FAIRsharing record for: CHOmine","abbreviation":"CHOmine","url":"https://fairsharing.org/10.25504/FAIRsharing.6YaUQm","doi":"10.25504/FAIRsharing.6YaUQm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CHOmine integrates many types of data for Cricetulus griseus, and CHO cells. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11687},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12822}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Protein","Gene"],"taxonomies":["Cricetulus griseus"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":2369,"pubmed_id":28605771,"title":"CHOmine: an integrated data warehouse for CHO systems biology and modeling.","year":2017,"url":"http://doi.org/10.1093/database/bax034","authors":"Gerstl MP,Hanscho M,Ruckerbauer DE,Zanghellini J,Borth N","journal":"Database (Oxford)","doi":"10.1093/database/bax034","created_at":"2021-09-30T08:26:51.268Z","updated_at":"2021-09-30T08:26:51.268Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":425,"relation":"undefined"}],"grants":[{"id":3282,"fairsharing_record_id":2717,"organisation_id":153,"relation":"maintains","created_at":"2021-09-30T09:26:12.250Z","updated_at":"2021-09-30T09:26:12.250Z","grant_id":null,"is_lead":true,"saved_state":{"id":153,"name":"Austrian Centre of Industrial Biotechnology (ACIB), Austria","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3281,"fairsharing_record_id":2717,"organisation_id":687,"relation":"maintains","created_at":"2021-09-30T09:26:12.225Z","updated_at":"2021-09-30T09:26:12.225Z","grant_id":null,"is_lead":true,"saved_state":{"id":687,"name":"Department of Biotechnology, University of Natural Resources and Life Sciences, Austria","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2731","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T21:11:23.000Z","updated_at":"2024-03-17T17:02:12.412Z","metadata":{"doi":"10.25504/FAIRsharing.0oOPKg","name":"ThaleMine","status":"ready","contacts":[{"contact_email":"nicholas.provart@utoronto.ca"}],"homepage":"https://bar.utoronto.ca/thalemine","citations":[{"doi":"10.1093/nar/gku1200","pubmed_id":25414324,"publication_id":2551},{"doi":"10.1105/tpc.20.00358","pubmed_id":32699173,"publication_id":4139}],"identifier":2731,"description":"ThaleMine enables you to analyze Arabidopsis thaliana genes, proteins, gene expression, protein-protein interactions, orthologs, and more. Use plain text or structured queries for interactive gene and protein reports.","abbreviation":"ThaleMine","data_curation":{"url":"https://bar.utoronto.ca/thalemine/dataCategories.do","type":"manual/automated"},"support_links":[{"url":"https://www.araport.org/","name":"ThaleMine FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Data cannot be submitted, however the users can suggest to add particular data via email."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001229","bsg-d001229"],"name":"FAIRsharing record for: ThaleMine","abbreviation":"ThaleMine","url":"https://fairsharing.org/10.25504/FAIRsharing.0oOPKg","doi":"10.25504/FAIRsharing.0oOPKg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ThaleMine enables you to analyze Arabidopsis thaliana genes, proteins, gene expression, protein-protein interactions, orthologs, and more. Use plain text or structured queries for interactive gene and protein reports.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11694}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Gene expression","Molecular interaction","Protein","Gene","Homologous"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":2551,"pubmed_id":25414324,"title":"Araport: the Arabidopsis information portal.","year":2014,"url":"http://doi.org/10.1093/nar/gku1200","authors":"Krishnakumar V,Hanlon MR,Contrino S,Ferlanti ES,Karamycheva S,Kim M,Rosen BD,Cheng CY,Moreira W,Mock SA,Stubbs J,Sullivan JM,Krampis K,Miller JR,Micklem G,Vaughn M,Town CD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1200","created_at":"2021-09-30T08:27:12.849Z","updated_at":"2021-09-30T11:29:39.129Z"},{"id":4139,"pubmed_id":32699173,"title":"Araport Lives: An Updated Framework for Arabidopsis Bioinformatics","year":2020,"url":"https://academic.oup.com/plcell/article/32/9/2683/6115718?login=false","authors":"Asher Pasha, Shabari Subramaniam, Alan Cleary, Xingguo Chen, Tanya Berardini, Andrew Farmer, Christopher Town, Nicholas Provart","journal":"The Plant Cell","doi":"10.1105/tpc.20.00358","created_at":"2024-02-18T18:07:22.238Z","updated_at":"2024-02-18T18:07:22.238Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1016,"relation":"undefined"}],"grants":[{"id":3315,"fairsharing_record_id":2731,"organisation_id":219,"relation":"maintains","created_at":"2021-09-30T09:26:13.123Z","updated_at":"2021-09-30T09:26:13.123Z","grant_id":null,"is_lead":true,"saved_state":{"id":219,"name":"Bio-Analytic Resource","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3316,"fairsharing_record_id":2731,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:13.163Z","updated_at":"2021-09-30T09:29:49.671Z","grant_id":423,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#DBI-1262414","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3317,"fairsharing_record_id":2731,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:13.202Z","updated_at":"2021-09-30T09:30:18.846Z","grant_id":651,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L027151/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2732","type":"fairsharing_records","attributes":{"created_at":"2018-12-12T20:56:43.000Z","updated_at":"2022-07-20T12:35:42.022Z","metadata":{"doi":"10.25504/FAIRsharing.iHhPe9","name":"XenMine","status":"deprecated","contacts":[{"contact_email":"jbaker@stanford.edu"}],"homepage":"http://www.xenmine.org/xenmine","citations":[{"doi":"10.1016/j.ydbio.2016.02.034","pubmed_id":27157655,"publication_id":2337}],"identifier":2732,"description":"XenMine has been created to view, search and analyze Xenopus data, and provides essential information on gene expression changes and regulatory elements present in the genome. It contains published genomic datasets from both Xenopus tropicalis and Xenopus laevis.","abbreviation":"XenMine","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.xenmine.org/xenmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"http://www.xenmine.org/jbrowse/index.html?","name":"JBrowse (View ChIP-Seq tracks)"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by XenBase.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001230","bsg-d001230"],"name":"FAIRsharing record for: XenMine","abbreviation":"XenMine","url":"https://fairsharing.org/10.25504/FAIRsharing.iHhPe9","doi":"10.25504/FAIRsharing.iHhPe9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XenMine has been created to view, search and analyze Xenopus data, and provides essential information on gene expression changes and regulatory elements present in the genome. It contains published genomic datasets from both Xenopus tropicalis and Xenopus laevis.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11695}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Gene"],"taxonomies":["Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2337,"pubmed_id":27157655,"title":"XenMine: A genomic interaction tool for the Xenopus community.","year":2016,"url":"http://doi.org/S0012-1606(15)30264-5","authors":"Reid CD,Karra K,Chang J,Piskol R,Li Q,Li JB,Cherry JM,Baker JC","journal":"Dev Biol","doi":"10.1016/j.ydbio.2016.02.034","created_at":"2021-09-30T08:26:46.993Z","updated_at":"2021-09-30T08:26:46.993Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":786,"relation":"undefined"}],"grants":[{"id":3319,"fairsharing_record_id":2732,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:26:13.313Z","updated_at":"2021-09-30T09:26:13.313Z","grant_id":null,"is_lead":true,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3318,"fairsharing_record_id":2732,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:13.235Z","updated_at":"2021-09-30T09:32:45.714Z","grant_id":1766,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5R01HD076839","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2730","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T20:56:30.000Z","updated_at":"2023-12-15T10:30:46.887Z","metadata":{"doi":"10.25504/FAIRsharing.QXYuxK","name":"TargetMine","status":"ready","contacts":[],"homepage":"http://targetmine.mizuguchilab.org/targetmine","citations":[{"doi":"10.1093/database/baw009","pubmed_id":26989145,"publication_id":2386}],"identifier":2730,"description":"TargetMine integrates many types of data for human, rat and mouse. Flexible queries, export of results and data analysis are available.","abbreviation":"TargetMine","data_curation":{"url":"https://targetmine.mizuguchilab.org/overview/","type":"manual"},"support_links":[{"url":"https://targetmine.mizuguchilab.org/tutorials","name":"Tutorial","type":"Help documentation"},{"url":"https://targetmine.mizuguchilab.org/targetmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/targetmine-tutorials-tutorials-for-an-intermine-designed-to-help-identify-drug-targets","name":"TargetMine tutorials Tutorials for an InterMine designed to help identify drug targets.","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001228","bsg-d001228"],"name":"FAIRsharing record for: TargetMine","abbreviation":"TargetMine","url":"https://fairsharing.org/10.25504/FAIRsharing.QXYuxK","doi":"10.25504/FAIRsharing.QXYuxK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TargetMine integrates many types of data for human, rat and mouse. Flexible queries, export of results and data analysis are available.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11693},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12827}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Protein structure","Protein domain","Protein interaction","Chemical entity","Molecular interaction","High-throughput screening","Protein","Micro RNA","Gene","Gene-disease association","Target"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2386,"pubmed_id":26989145,"title":"An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework.","year":2016,"url":"http://doi.org/10.1093/database/baw009","authors":"Chen YA,Tripathi LP,Mizuguchi K","journal":"Database (Oxford)","doi":"10.1093/database/baw009","created_at":"2021-09-30T08:26:53.162Z","updated_at":"2021-09-30T08:26:53.162Z"},{"id":2387,"pubmed_id":21408081,"title":"TargetMine, an integrated data warehouse for candidate gene prioritisation and target discovery.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0017844","authors":"Chen YA,Tripathi LP,Mizuguchi K","journal":"PLoS One","doi":"10.1371/journal.pone.0017844","created_at":"2021-09-30T08:26:53.277Z","updated_at":"2021-09-30T08:26:53.277Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1316,"relation":"undefined"}],"grants":[{"id":3314,"fairsharing_record_id":2730,"organisation_id":1882,"relation":"maintains","created_at":"2021-09-30T09:26:13.081Z","updated_at":"2021-09-30T09:26:13.081Z","grant_id":null,"is_lead":true,"saved_state":{"id":1882,"name":"Mizuguchi Laboratory, National Institutes of Biomedical Innovation, Health and Nutrition, Japan","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2763","type":"fairsharing_records","attributes":{"created_at":"2019-03-29T09:04:44.000Z","updated_at":"2023-12-15T10:30:28.831Z","metadata":{"doi":"10.25504/FAIRsharing.52da68","name":"National Genomics Data Center Repository","status":"ready","contacts":[{"contact_name":"Yiming Bao","contact_email":"baoym@big.ac.cn","contact_orcid":"0000-0002-9922-9723"}],"homepage":"https://ngdc.cncb.ac.cn/","citations":[],"identifier":2763,"description":"The National Genomics Data Center of the Chinese Academy of Sciences provides a repository containing a number of resources in support of worldwide research activities in both academia and industry. With the vast amounts of multi-omics data generated at unprecedented scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big data integration and value-added curation. Resources with significant updates in the past year include BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Science Wikis (a catalog of biological knowledge wikis for community annotations) and IC4R (Information Commons for Rice). Newly released resources include EWAS Atlas (a knowledgebase of epigenome-wide association studies), iDog (an integrated omics data resource for dog) and RNA editing resources (for editome-disease associations and plant RNA editosome, respectively). To promote biodiversity and health big data sharing around the world, the Open Biodiversity and Health Big Data (BHBD) initiative is introduced. All of these resources are publicly accessible.","abbreviation":"NGDC","data_curation":{"type":"not found"},"support_links":[{"url":"http://bigd.big.ac.cn/conference","name":"Conference","type":"Blog/News"},{"url":"https://ngdc.cncb.ac.cn/training/gbt","name":"Genomics \u0026 Bioinformatics Training","type":"Training documentation"},{"url":"https://ngdc.cncb.ac.cn/news/general","type":"Blog/News"}],"year_creation":2015,"data_versioning":"not found","associated_tools":[{"url":"https://ngdc.cncb.ac.cn/bit/","name":"NGDC Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013743","name":"re3data:r3d100013743","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ngdc.cncb.ac.cn/gsub/","type":"open","notes":"Submissions are made through the BIG Submission Portal."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001261","bsg-d001261"],"name":"FAIRsharing record for: National Genomics Data Center Repository","abbreviation":"NGDC","url":"https://fairsharing.org/10.25504/FAIRsharing.52da68","doi":"10.25504/FAIRsharing.52da68","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Genomics Data Center of the Chinese Academy of Sciences provides a repository containing a number of resources in support of worldwide research activities in both academia and industry. With the vast amounts of multi-omics data generated at unprecedented scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big data integration and value-added curation. Resources with significant updates in the past year include BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Science Wikis (a catalog of biological knowledge wikis for community annotations) and IC4R (Information Commons for Rice). Newly released resources include EWAS Atlas (a knowledgebase of epigenome-wide association studies), iDog (an integrated omics data resource for dog) and RNA editing resources (for editome-disease associations and plant RNA editosome, respectively). To promote biodiversity and health big data sharing around the world, the Open Biodiversity and Health Big Data (BHBD) initiative is introduced. All of these resources are publicly accessible.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12836}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenomics","Knowledge and Information Systems","Metagenomics","Genomics","Bioinformatics","Genetics","Life Science","Transcriptomics","Omics"],"domains":["Taxonomic classification","Resource metadata","Expression data","Biological sample annotation","RNA sequence","Computational biological predictions","Real time polymerase chain reaction","DNA methylation","Gene expression","Biological sample","Disease","Single nucleotide polymorphism","Genome","Long non-coding RNA","Gene-disease association","Literature curation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":507,"pubmed_id":29036542,"title":"Database Resources of the BIG Data Center in 2018.","year":2017,"url":"http://doi.org/10.1093/nar/gkx897","authors":"BIG Data Center Members ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx897","created_at":"2021-09-30T08:23:15.298Z","updated_at":"2021-09-30T11:29:51.279Z"},{"id":513,"pubmed_id":30365034,"title":"Database Resources of the BIG Data Center in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky993","authors":"BIG Data Center Members.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky993","created_at":"2021-09-30T08:23:15.990Z","updated_at":"2021-09-30T11:28:46.885Z"},{"id":632,"pubmed_id":27899658,"title":"The BIG Data Center: from deposition to integration to translation.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1060","authors":"BIG Data Center Members","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1060","created_at":"2021-09-30T08:23:29.482Z","updated_at":"2021-09-30T11:28:48.618Z"},{"id":722,"pubmed_id":30716410,"title":"Database Resources in BIG Data Center: Submission, Archiving, and Integration of Big Data in Plant Science.","year":2019,"url":"http://doi.org/S1674-2052(19)30051-6","authors":"Song S,Zhang Z","journal":"Mol Plant","doi":"S1674-2052(19)30051-6","created_at":"2021-09-30T08:23:39.570Z","updated_at":"2021-09-30T08:23:39.570Z"},{"id":723,"pubmed_id":29069473,"title":"Genome Variation Map: a data repository of genome variations in BIG Data Center.","year":2017,"url":"http://doi.org/10.1093/nar/gkx986","authors":"Song S,Tian D,Li C,Tang B,Dong L,Xiao J,Bao Y,Zhao W,He H,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx986","created_at":"2021-09-30T08:23:39.676Z","updated_at":"2021-09-30T11:28:49.325Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":2110,"relation":"undefined"}],"grants":[{"id":3393,"fairsharing_record_id":2763,"organisation_id":2815,"relation":"funds","created_at":"2021-09-30T09:26:15.356Z","updated_at":"2021-09-30T09:26:15.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":2815,"name":"The Open Biodiversity and Health Big Data Initiative of IUBS","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7870,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:12.549Z","updated_at":"2021-09-30T09:29:12.601Z","grant_id":139,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFC0901603","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7930,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:52.942Z","updated_at":"2021-09-30T09:29:52.999Z","grant_id":449,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFE0206600","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8081,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:49.454Z","updated_at":"2021-09-30T09:30:49.499Z","grant_id":888,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31571358","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8151,"fairsharing_record_id":2763,"organisation_id":2856,"relation":"funds","created_at":"2021-09-30T09:31:12.739Z","updated_at":"2021-09-30T09:31:12.789Z","grant_id":1066,"is_lead":false,"saved_state":{"id":2856,"name":"The Youth Innovation Promotion Association of the CAS","grant":"2017141","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8277,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:52.591Z","updated_at":"2021-09-30T09:31:52.642Z","grant_id":1367,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31771465","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8316,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:02.808Z","updated_at":"2021-09-30T09:32:02.855Z","grant_id":1444,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC0908403","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8477,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:50.070Z","updated_at":"2021-09-30T09:32:50.119Z","grant_id":1798,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC0907503","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3401,"fairsharing_record_id":2763,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:15.557Z","updated_at":"2021-09-30T09:26:15.557Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3402,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:26:15.586Z","updated_at":"2021-09-30T09:29:09.418Z","grant_id":117,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31100915","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3399,"fairsharing_record_id":2763,"organisation_id":2856,"relation":"funds","created_at":"2021-09-30T09:26:15.502Z","updated_at":"2021-09-30T09:29:55.163Z","grant_id":468,"is_lead":false,"saved_state":{"id":2856,"name":"The Youth Innovation Promotion Association of the CAS","grant":"2018134","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3396,"fairsharing_record_id":2763,"organisation_id":1508,"relation":"funds","created_at":"2021-09-30T09:26:15.426Z","updated_at":"2021-09-30T09:31:30.305Z","grant_id":1201,"is_lead":false,"saved_state":{"id":1508,"name":"International Partnership Program of the Chinese Academy of Sciences","grant":"153F11KYSB20160008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3395,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:26:15.402Z","updated_at":"2021-09-30T09:29:02.274Z","grant_id":66,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFB0201702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7913,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:40.892Z","updated_at":"2021-09-30T09:29:40.960Z","grant_id":357,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2015AA020108","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7914,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:41.133Z","updated_at":"2021-09-30T09:29:41.187Z","grant_id":358,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2015AA020101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7929,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:29:51.472Z","updated_at":"2021-09-30T09:29:51.582Z","grant_id":438,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31671360","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8066,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:44.704Z","updated_at":"2021-09-30T09:30:44.762Z","grant_id":849,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2018YFC0310602","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8071,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:45.636Z","updated_at":"2021-09-30T09:30:45.681Z","grant_id":856,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31271386","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8138,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:09.756Z","updated_at":"2021-09-30T09:31:09.810Z","grant_id":1046,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFC0901903","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8165,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:17.330Z","updated_at":"2021-09-30T09:31:17.391Z","grant_id":1103,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31200978","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3397,"fairsharing_record_id":2763,"organisation_id":2738,"relation":"funds","created_at":"2021-09-30T09:26:15.453Z","updated_at":"2021-09-30T09:31:19.197Z","grant_id":1117,"is_lead":false,"saved_state":{"id":2738,"name":"The 13th Five-year Informatization Plan of Chinese Academy of Sciences","grant":"XXH13505-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8253,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:45.640Z","updated_at":"2021-09-30T09:31:45.685Z","grant_id":1315,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31471248","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8388,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:24.693Z","updated_at":"2021-09-30T09:32:24.741Z","grant_id":1608,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC1201200","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8478,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:50.202Z","updated_at":"2021-09-30T09:32:50.288Z","grant_id":1799,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC0907502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3403,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:26:15.611Z","updated_at":"2022-04-11T13:08:15.632Z","grant_id":380,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA08020102","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9422,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T13:09:17.474Z","updated_at":"2022-04-11T13:09:17.474Z","grant_id":659,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDB13040500","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9423,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T13:09:41.779Z","updated_at":"2022-04-11T13:09:41.779Z","grant_id":1273,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA19050302","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9424,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T13:10:02.115Z","updated_at":"2022-04-11T13:10:02.115Z","grant_id":1302,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KJZD-EW-L14","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2765","type":"fairsharing_records","attributes":{"created_at":"2019-03-29T17:54:51.000Z","updated_at":"2023-12-15T10:30:28.386Z","metadata":{"doi":"10.25504/FAIRsharing.23bdba","name":"DISNOR","status":"ready","contacts":[{"contact_name":"Gianni Cesareni","contact_email":"cesareni@uniroma2.it","contact_orcid":"0000-0002-9528-6018"}],"homepage":"https://disnor.uniroma2.it/","citations":[{"doi":"10.1093/nar/gkx876","pubmed_id":29036667,"publication_id":770}],"identifier":2765,"description":"DISNOR is a resource that uses a comprehensive collection of disease associated genes, as annotated in DisGeNET, to interrogate SIGNOR (https://signor.uniroma2.it) in order to assemble disease-specific logic networks linking disease associated genes by causal relationships. DISNOR is an open resource where more than 4000 disease-networks, linking ~ 2800 disease genes, can be explored. For each disease curated in DisGeNET, DISNOR links disease genes through manually annotated causal relationships and the inferred 'patho-pathways' can be visualised at different level of complexity.","abbreviation":"DISNOR","data_curation":{"url":"https://disnor.uniroma2.it/","type":"manual"},"support_links":[{"url":"https://disnor.uniroma2.it/#documentation","name":"Documentation","type":"Help documentation"},{"url":"https://disnor.uniroma2.it/#about-disnor","name":"About","type":"Help documentation"},{"url":"https://disnor.uniroma2.it/#tutorial","name":"Tutorial","type":"Training documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001263","bsg-d001263"],"name":"FAIRsharing record for: DISNOR","abbreviation":"DISNOR","url":"https://fairsharing.org/10.25504/FAIRsharing.23bdba","doi":"10.25504/FAIRsharing.23bdba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DISNOR is a resource that uses a comprehensive collection of disease associated genes, as annotated in DisGeNET, to interrogate SIGNOR (https://signor.uniroma2.it) in order to assemble disease-specific logic networks linking disease associated genes by causal relationships. DISNOR is an open resource where more than 4000 disease-networks, linking ~ 2800 disease genes, can be explored. For each disease curated in DisGeNET, DISNOR links disease genes through manually annotated causal relationships and the inferred 'patho-pathways' can be visualised at different level of complexity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Computational biological predictions","Network model","Curated information","Disease","Single nucleotide polymorphism","Gene-disease association"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":770,"pubmed_id":29036667,"title":"DISNOR: a disease network open resource.","year":2017,"url":"http://doi.org/10.1093/nar/gkx876","authors":"Lo Surdo P,Calderone A,Iannuccelli M,Licata L,Peluso D,Castagnoli L,Cesareni G,Perfetto L","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx876","created_at":"2021-09-30T08:23:44.859Z","updated_at":"2021-09-30T11:28:50.667Z"}],"licence_links":[{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":883,"relation":"undefined"}],"grants":[{"id":3413,"fairsharing_record_id":2765,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:26:15.868Z","updated_at":"2021-09-30T09:26:15.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3415,"fairsharing_record_id":2765,"organisation_id":679,"relation":"maintains","created_at":"2021-09-30T09:26:15.918Z","updated_at":"2021-09-30T09:26:15.918Z","grant_id":null,"is_lead":true,"saved_state":{"id":679,"name":"Department of Biology, University of Rome Tor Vergata, Rome, Italy","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3414,"fairsharing_record_id":2765,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:26:15.895Z","updated_at":"2021-09-30T09:26:15.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3412,"fairsharing_record_id":2765,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:15.845Z","updated_at":"2021-09-30T09:30:03.608Z","grant_id":533,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"32274","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2752","type":"fairsharing_records","attributes":{"created_at":"2018-12-21T10:27:46.000Z","updated_at":"2024-05-02T09:49:01.691Z","metadata":{"doi":"10.25504/FAIRsharing.ef9ca3","name":"SignaLink","status":"ready","contacts":[{"contact_name":"Tamas Korcsmaros","contact_email":"korcsmaros@netbiol.elte.hu","contact_orcid":"0000-0003-1717-996X"}],"homepage":"http://signalink.org/","citations":[{"doi":"10.1186/1752-0509-7-7","pubmed_id":23331499,"publication_id":2721}],"identifier":2752,"description":"SignaLink is an integrated resource to analyze signaling pathway cross-talks, transcription factors, miRNAs and regulatory enzymes. it allows browsing of signaling pathways, cross-talks and multi-pathway proteins; selection of transcriptional, post- transcriptional and post translational regulators of a signaling pathway; downloading of species- and pathway-specific information in several formats; designing of genetic/biochemical experiments to verify predicted pathway member proteins; modeling of tissue- or disease-specific signaling processes by merging SignaLink with expression data; and the discovering of novel signaling drug target candidates.","abbreviation":"SignaLink","data_curation":{"url":"http://signalink.org/faq","type":"manual","notes":"Each pathway was manually entered, based on publication and dabases."},"support_links":[{"url":"http://signalink.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001250","bsg-d001250"],"name":"FAIRsharing record for: SignaLink","abbreviation":"SignaLink","url":"https://fairsharing.org/10.25504/FAIRsharing.ef9ca3","doi":"10.25504/FAIRsharing.ef9ca3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SignaLink is an integrated resource to analyze signaling pathway cross-talks, transcription factors, miRNAs and regulatory enzymes. it allows browsing of signaling pathways, cross-talks and multi-pathway proteins; selection of transcriptional, post- transcriptional and post translational regulators of a signaling pathway; downloading of species- and pathway-specific information in several formats; designing of genetic/biochemical experiments to verify predicted pathway member proteins; modeling of tissue- or disease-specific signaling processes by merging SignaLink with expression data; and the discovering of novel signaling drug target candidates.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11411},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12153}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Life Science","Biomedical Science"],"domains":["Protein interaction","Network model","Signaling","Biological regulation","Transcription factor","Enzyme","Micro RNA"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":59,"pubmed_id":20542890,"title":"Uniformly curated signaling pathways reveal tissue-specific cross-talks and support drug target discovery.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq310","authors":"Korcsmaros T,Farkas IJ,Szalay MS,Rovo P,Fazekas D,Spiro Z,Bode C,Lenti K,Vellai T,Csermely P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq310","created_at":"2021-09-30T08:22:26.680Z","updated_at":"2021-09-30T08:22:26.680Z"},{"id":2721,"pubmed_id":23331499,"title":"SignaLink 2 - a signaling pathway resource with multi-layered regulatory networks.","year":2013,"url":"http://doi.org/10.1186/1752-0509-7-7","authors":"Fazekas D,Koltai M,Turei D,Modos D,Palfy M,Dul Z,Zsakai L,Szalay-Beko M,Lenti K,Farkas IJ,Vellai T,Csermely P,Korcsmaros T","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-7-7","created_at":"2021-09-30T08:27:34.179Z","updated_at":"2021-09-30T08:27:34.179Z"}],"licence_links":[],"grants":[{"id":3368,"fairsharing_record_id":2752,"organisation_id":711,"relation":"maintains","created_at":"2021-09-30T09:26:14.627Z","updated_at":"2021-09-30T09:26:14.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":711,"name":"Department of Genetics, Eotvos Lorand University University, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2753","type":"fairsharing_records","attributes":{"created_at":"2019-02-21T14:39:13.000Z","updated_at":"2024-03-21T13:58:10.033Z","metadata":{"doi":"10.25504/FAIRsharing.o8CuJ7","name":"Educational Resource Discovery Index","status":"deprecated","contacts":[{"contact_name":"John Darrell Van Horn","contact_email":"jvanhorn@usc.edu","contact_orcid":"0000-0003-1537-0816"}],"homepage":"http://www.bigdatau.org/about_erudite","citations":[{"doi":"https://doi.org/10.1142/9789813235533_0027","pubmed_id":29218890,"publication_id":2316}],"identifier":2753,"description":"ERuDIte is the educational resource discovery index that powers the BD2K Training Coordinating Center (TCC) Web Portal. ERuDIte not only serves as a resource collector and aggregator but also as a system powered by Machine Learning, Information Retrieval, and Natural Language Processing that intelligently organizes resources to provide a dynamic and personalized curriculum for biomedical researchers interested in learning about Data Science. ERuDIte provides the resource data that learners can discover on the TCC Web Portal. Over time, learners’ interactions with the TCC Web Portal will impact ERuDIte, forming a feedback cycle where both components improve each other and adapt to learners’ needs and demands. The blending of Artificial Intelligence techniques with highly targeted curation for resource discovery, retrieval, personalization, and organization distinguishes ERuDIte from MOOC aggregators and other resource collection initiatives.","abbreviation":"ERuDIte","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bigdatau.org","name":"BD2K Training Coordinating Center","type":"Help documentation"},{"url":"https://bioint.github.io/erudite-training-resource-standard/","name":"BD2K ERuDIte GitHub Webpage","type":"Github"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2023-04-13","deprecation_reason":"The program is no longer funded or active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001251","bsg-d001251"],"name":"FAIRsharing record for: Educational Resource Discovery Index","abbreviation":"ERuDIte","url":"https://fairsharing.org/10.25504/FAIRsharing.o8CuJ7","doi":"10.25504/FAIRsharing.o8CuJ7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ERuDIte is the educational resource discovery index that powers the BD2K Training Coordinating Center (TCC) Web Portal. ERuDIte not only serves as a resource collector and aggregator but also as a system powered by Machine Learning, Information Retrieval, and Natural Language Processing that intelligently organizes resources to provide a dynamic and personalized curriculum for biomedical researchers interested in learning about Data Science. ERuDIte provides the resource data that learners can discover on the TCC Web Portal. Over time, learners’ interactions with the TCC Web Portal will impact ERuDIte, forming a feedback cycle where both components improve each other and adapt to learners’ needs and demands. The blending of Artificial Intelligence techniques with highly targeted curation for resource discovery, retrieval, personalization, and organization distinguishes ERuDIte from MOOC aggregators and other resource collection initiatives.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Research on Teaching, Learning and Training","Education Science","Computer Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["data science","Education","personalization","Resource Discovery","Training"],"countries":["United States"],"publications":[{"id":2316,"pubmed_id":29218890,"title":"Democratizing data science through data science training.","year":2017,"url":"https://www.ncbi.nlm.nih.gov/pubmed/29218890","authors":"Van Horn JD,Fierro L,Kamdar J,Gordon J,Stewart C,Bhattrai A,Abe S,Lei X,O'Driscoll C,Sinha A,Jain P,Burns G,Lerman K,Ambite JL","journal":"Pac Symp Biocomput","doi":"https://doi.org/10.1142/9789813235533_0027","created_at":"2021-09-30T08:26:44.201Z","updated_at":"2021-09-30T08:26:44.201Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":848,"relation":"undefined"}],"grants":[{"id":3369,"fairsharing_record_id":2753,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:14.656Z","updated_at":"2021-09-30T09:32:04.368Z","grant_id":1455,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","grant":"5U24ES026465","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11536,"fairsharing_record_id":2753,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:09.993Z","updated_at":"2024-03-21T13:58:09.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2754","type":"fairsharing_records","attributes":{"created_at":"2019-01-05T16:28:39.000Z","updated_at":"2022-07-20T12:06:19.216Z","metadata":{"doi":"10.25504/FAIRsharing.OTYQFw","name":"WITHDRAWN: A Resource for Withdrawn and Discontinued Drugs","status":"deprecated","contacts":[{"contact_name":"Robert Preißner","contact_email":"robert.preissner@charite.de"}],"homepage":"http://cheminfo.charite.de/withdrawn/","citations":[{"doi":"10.1093/nar/gkv1192","pubmed_id":26553801,"publication_id":356}],"identifier":2754,"description":"WITHDRAWN is a database of withdrawn and discontinued drugs that were recalled from global markets due to safety concerns. The database serves as a useful resource with information about the therapeutic (or primary) targets, off-targets, toxicity types and biological pathways associated with the drugs in the database. Furthermore, genetic variations (SNPs) associated with the therapeutic and off-targets are presented within to shed light on the common genetic variations that could lead to toxicity and thereby to drug withdrawal or discontinuation in specific populations.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://cheminfo.charite.de/withdrawn/help_faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cheminfo.charite.de/withdrawn/statistics.html","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2022-02-07","deprecation_reason":"The homepage for this resource currently unavailable, but should be accessible in the future.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001252","bsg-d001252"],"name":"FAIRsharing record for: WITHDRAWN: A Resource for Withdrawn and Discontinued Drugs","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.OTYQFw","doi":"10.25504/FAIRsharing.OTYQFw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WITHDRAWN is a database of withdrawn and discontinued drugs that were recalled from global markets due to safety concerns. The database serves as a useful resource with information about the therapeutic (or primary) targets, off-targets, toxicity types and biological pathways associated with the drugs in the database. Furthermore, genetic variations (SNPs) associated with the therapeutic and off-targets are presented within to shed light on the common genetic variations that could lead to toxicity and thereby to drug withdrawal or discontinuation in specific populations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Metabolism","Biomedical Science"],"domains":["Drug report","Drug","Drug metabolic process","Toxicity","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug Target"],"countries":["Germany"],"publications":[{"id":356,"pubmed_id":26553801,"title":"WITHDRAWN--a resource for withdrawn and discontinued drugs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1192","authors":"Siramshetty VB,Nickel J,Omieczynski C,Gohlke BO,Drwal MN,Preissner R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1192","created_at":"2021-09-30T08:22:58.280Z","updated_at":"2021-09-30T11:28:45.709Z"}],"licence_links":[],"grants":[{"id":3371,"fairsharing_record_id":2754,"organisation_id":494,"relation":"maintains","created_at":"2021-09-30T09:26:14.736Z","updated_at":"2021-09-30T09:26:14.736Z","grant_id":null,"is_lead":true,"saved_state":{"id":494,"name":"Charite - University Medicine Berlin, Berlin, Germany","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2756","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T17:37:07.000Z","updated_at":"2023-12-15T10:31:41.936Z","metadata":{"doi":"10.25504/FAIRsharing.afc2b3","name":"Docker Hub","status":"ready","homepage":"https://hub.docker.com/","identifier":2756,"description":"Docker Hub is a library and community for sharing container images. It currently contains over 100,000 container images from software vendors, open-source projects, and the community. It has become a common way of sharing bioinformatics tools and resources in a way that reduces the difficulty of running these tools in a compute environment with the correct software dependencies.","abbreviation":"Docker Hub","data_curation":{"type":"manual","notes":"Docker Official Images are a curated set of Docker open source and drop-in solution repositories."},"support_links":[{"url":"https://www.docker.com/company/contact","name":"Contact form for DockerHub","type":"Contact form"},{"url":"https://forums.docker.com/c/docker-hub","name":"Docker Hub Forums","type":"Forum"},{"url":"https://docs.docker.com/docker-hub/","name":"Docker Hub Documentation","type":"Help documentation"},{"url":"https://twitter.com/docker","name":"@docker","type":"Twitter"}],"year_creation":2013,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001254","bsg-d001254"],"name":"FAIRsharing record for: Docker Hub","abbreviation":"Docker Hub","url":"https://fairsharing.org/10.25504/FAIRsharing.afc2b3","doi":"10.25504/FAIRsharing.afc2b3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Docker Hub is a library and community for sharing container images. It currently contains over 100,000 container images from software vendors, open-source projects, and the community. It has become a common way of sharing bioinformatics tools and resources in a way that reduces the difficulty of running these tools in a compute environment with the correct software dependencies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Computer Science","Software Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Docker Components and Licenses","licence_id":249,"licence_url":"https://www.docker.com/legal/components-licenses","link_id":312,"relation":"undefined"}],"grants":[{"id":3373,"fairsharing_record_id":2756,"organisation_id":777,"relation":"maintains","created_at":"2021-09-30T09:26:14.793Z","updated_at":"2021-09-30T09:26:14.793Z","grant_id":null,"is_lead":true,"saved_state":{"id":777,"name":"Docker, Inc.","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2744","type":"fairsharing_records","attributes":{"created_at":"2018-12-17T12:10:27.000Z","updated_at":"2023-12-15T10:30:36.289Z","metadata":{"doi":"10.25504/FAIRsharing.653ca1","name":"Human Reference Protein Interactome Mapping Project","status":"ready","contacts":[{"contact_name":"Michael Calderwood","contact_email":"michael_calderwood@dfci.harvard.edu","contact_orcid":"0000-0002-3803-0438"}],"homepage":"http://www.interactome-atlas.org/","citations":[],"identifier":2744,"description":"The Human Reference Protein Interactome Mapping Project (HuRI) is a repository, created by the Center for Cancer Systems Biology (CCSB) at Dana-Farber Cancer Institute, which stores the data from the ongoing work on the first complete reference map of the human protein-protein interactome network. All pairwise combinations of human protein-coding genes are systematically being interrogated to identify which are involved in binary protein-protein interactions. HuRI has grown in several distinct stages primarily defined by the number of human protein-coding genes amenable to screening for which at least one Gateway-cloned Open Reading Frame (ORF) was available at the time of the project. Three proteome-scale human PPI datasets are available via HuRI. PPI datasets generated in systematic screens on smaller sets of our human ORF collection have also been included. Also included are all PPIs identified in screens using different protein isoforms from the same gene as generated by alternative splicing.","abbreviation":"HuRI","data_curation":{"url":"http://www.interactome-atlas.org/about/","type":"manual"},"support_links":[{"url":"gary.bader@utoronto.ca","name":"Gary Bader","type":"Support email"},{"url":"http://www.interactome-atlas.org/faq/","name":"HuRI FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.interactome-atlas.org/about/","name":"About HuRI","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001242","bsg-d001242"],"name":"FAIRsharing record for: Human Reference Protein Interactome Mapping Project","abbreviation":"HuRI","url":"https://fairsharing.org/10.25504/FAIRsharing.653ca1","doi":"10.25504/FAIRsharing.653ca1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Reference Protein Interactome Mapping Project (HuRI) is a repository, created by the Center for Cancer Systems Biology (CCSB) at Dana-Farber Cancer Institute, which stores the data from the ongoing work on the first complete reference map of the human protein-protein interactome network. All pairwise combinations of human protein-coding genes are systematically being interrogated to identify which are involved in binary protein-protein interactions. HuRI has grown in several distinct stages primarily defined by the number of human protein-coding genes amenable to screening for which at least one Gateway-cloned Open Reading Frame (ORF) was available at the time of the project. Three proteome-scale human PPI datasets are available via HuRI. PPI datasets generated in systematic screens on smaller sets of our human ORF collection have also been included. Also included are all PPIs identified in screens using different protein isoforms from the same gene as generated by alternative splicing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Protein interaction","Interactome","Alternative splicing","High-throughput screening"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3342,"fairsharing_record_id":2744,"organisation_id":440,"relation":"maintains","created_at":"2021-09-30T09:26:14.000Z","updated_at":"2021-09-30T09:26:14.000Z","grant_id":null,"is_lead":true,"saved_state":{"id":440,"name":"Center of Cancer Systems Biology, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3344,"fairsharing_record_id":2744,"organisation_id":159,"relation":"maintains","created_at":"2021-09-30T09:26:14.050Z","updated_at":"2021-09-30T09:26:14.050Z","grant_id":null,"is_lead":false,"saved_state":{"id":159,"name":"Bader Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3340,"fairsharing_record_id":2744,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:13.950Z","updated_at":"2021-09-30T09:26:13.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3341,"fairsharing_record_id":2744,"organisation_id":408,"relation":"maintains","created_at":"2021-09-30T09:26:13.976Z","updated_at":"2021-09-30T09:26:13.976Z","grant_id":null,"is_lead":false,"saved_state":{"id":408,"name":"Center for Cancer Systems Biology, Boston, MA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3343,"fairsharing_record_id":2744,"organisation_id":1586,"relation":"maintains","created_at":"2021-09-30T09:26:14.027Z","updated_at":"2021-09-30T09:26:14.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":1586,"name":"Jan Tavernier Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3345,"fairsharing_record_id":2744,"organisation_id":2460,"relation":"maintains","created_at":"2021-09-30T09:26:14.081Z","updated_at":"2021-09-30T09:26:14.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":2460,"name":"Roth Laboratory","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2745","type":"fairsharing_records","attributes":{"created_at":"2018-12-17T13:06:34.000Z","updated_at":"2023-12-15T10:32:52.153Z","metadata":{"doi":"10.25504/FAIRsharing.0c6bc2","name":"FlyAtlas 2","status":"ready","contacts":[{"contact_name":"Julian A T Dow","contact_email":"julian.dow@glasgow.ac.uk","contact_orcid":"0000-0002-9595-5146"}],"homepage":"http://flyatlas.gla.ac.uk/FlyAtlas2/index.html","citations":[{"doi":"10.1093/nar/gkx976","pubmed_id":29069479,"publication_id":2463}],"identifier":2745,"description":"FlyAtlas 2 is the RNA-Seq successor to the original FlyAtlas (which was based on microarray analysis). Specifically, FlyAtlas 2 now provides access to: transcript information, sex-specific data for adult somatic tissues, and micro-RNA genes. FlyAtlas2 supports search by gene, category or tissue; and functionality has been improved through mobile support and the option to download results in spreadsheet format. Gene coverage has been extended by the inclusion of microRNAs and many of the RNA genes included in Release 6 of the Drosophila reference genome. The web interface has been modified to accommodate the extra data, but at the same time has been adapted for viewing on small mobile devices. Users also have access to the RNA-Seq reads displayed alongside the annotated Drosophila genome in the (external) UCSC browser, and are able to link out to the previous FlyAtlas resource to compare the data obtained by RNA-Seq with that obtained using microarrays.","abbreviation":"FlyAtlas 2","data_curation":{"url":"https://flyatlas.gla.ac.uk/FlyAtlas2/index.html?page=help#mobileTargetP","type":"automated"},"support_links":[{"url":"http://flyatlas.gla.ac.uk/FlyAtlas2/index.html?page=contact","name":"Feedback Form","type":"Contact form"},{"url":"http://flyatlas.gla.ac.uk/FlyAtlas2/index.html?page=help","name":"FlyAtlas 2 Documentation","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001243","bsg-d001243"],"name":"FAIRsharing record for: FlyAtlas 2","abbreviation":"FlyAtlas 2","url":"https://fairsharing.org/10.25504/FAIRsharing.0c6bc2","doi":"10.25504/FAIRsharing.0c6bc2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FlyAtlas 2 is the RNA-Seq successor to the original FlyAtlas (which was based on microarray analysis). Specifically, FlyAtlas 2 now provides access to: transcript information, sex-specific data for adult somatic tissues, and micro-RNA genes. FlyAtlas2 supports search by gene, category or tissue; and functionality has been improved through mobile support and the option to download results in spreadsheet format. Gene coverage has been extended by the inclusion of microRNAs and many of the RNA genes included in Release 6 of the Drosophila reference genome. The web interface has been modified to accommodate the extra data, but at the same time has been adapted for viewing on small mobile devices. Users also have access to the RNA-Seq reads displayed alongside the annotated Drosophila genome in the (external) UCSC browser, and are able to link out to the previous FlyAtlas resource to compare the data obtained by RNA-Seq with that obtained using microarrays.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Transcriptomics","Biology"],"domains":["RNA sequencing","Microarray experiment","DNA microarray","Micro RNA"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1460,"pubmed_id":17534367,"title":"Using FlyAtlas to identify better Drosophila melanogaster models of human disease.","year":2007,"url":"http://doi.org/10.1038/ng2049","authors":"Chintapalli VR,Wang J,Dow JA","journal":"Nat Genet","doi":"10.1038/ng2049","created_at":"2021-09-30T08:25:03.161Z","updated_at":"2021-09-30T08:25:03.161Z"},{"id":2463,"pubmed_id":29069479,"title":"FlyAtlas 2: a new version of the Drosophila melanogaster expression atlas with RNA-Seq, miRNA-Seq and sex-specific data.","year":2017,"url":"http://doi.org/10.1093/nar/gkx976","authors":"Leader DP,Krause SA,Pandit A,Davies SA,Dow JAT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx976","created_at":"2021-09-30T08:27:02.067Z","updated_at":"2021-09-30T11:29:36.638Z"},{"id":2464,"pubmed_id":23203866,"title":"FlyAtlas: database of gene expression in the tissues of Drosophila melanogaster.","year":2012,"url":"http://doi.org/10.1093/nar/gks1141","authors":"Robinson SW,Herzyk P,Dow JA,Leader DP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1141","created_at":"2021-09-30T08:27:02.166Z","updated_at":"2021-09-30T11:29:36.738Z"}],"licence_links":[],"grants":[{"id":3347,"fairsharing_record_id":2745,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:14.144Z","updated_at":"2021-09-30T09:30:40.340Z","grant_id":814,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K019953/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3346,"fairsharing_record_id":2745,"organisation_id":1430,"relation":"maintains","created_at":"2021-09-30T09:26:14.114Z","updated_at":"2021-09-30T09:26:14.114Z","grant_id":null,"is_lead":true,"saved_state":{"id":1430,"name":"Institute of Molecular, Cell and Systems Biology (IMCSB), College of Medical, Veterinary \u0026 Life Sciences, University of Glasgow, United Kingdom","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2746","type":"fairsharing_records","attributes":{"created_at":"2018-12-17T13:19:43.000Z","updated_at":"2023-12-15T10:30:21.507Z","metadata":{"doi":"10.25504/FAIRsharing.14c4ca","name":"Fly-FISH","status":"ready","contacts":[{"contact_name":"Henry Krause","contact_email":"h.krause@utoronto.ca","contact_orcid":"0000-0002-6182-7074"}],"homepage":"http://fly-fish.ccbr.utoronto.ca/","identifier":2746,"description":"Fly-FISH documents the expression and localization patterns of Drosophila mRNAs at the cellular and subcellular level during early embryogenesis and third instar larval tissues. A high-resolution, high-throughput fluorescence detection method is used to detect expressed mRNAs. The data can be accessed by searching the localization categories, searching for specific genes or browsing the list of tested genes.","abbreviation":"Fly-FISH","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.youtube.com/watch?v=ox27uj3fgcc","name":"RNA patterns movie","type":"Video"},{"url":"http://fly-fish.ccbr.utoronto.ca/static/pdf/lecuyer-et-al-2008.pdf","name":"In Situ Protocol for Embryos","type":"Help documentation"},{"url":"http://fly-fish.ccbr.utoronto.ca/static/pdf/wilk-et-al-2010.pdf","name":"In Situ Protocol for Embryos and Larval Tissues","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013919","name":"re3data:r3d100013919","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001244","bsg-d001244"],"name":"FAIRsharing record for: Fly-FISH","abbreviation":"Fly-FISH","url":"https://fairsharing.org/10.25504/FAIRsharing.14c4ca","doi":"10.25504/FAIRsharing.14c4ca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Fly-FISH documents the expression and localization patterns of Drosophila mRNAs at the cellular and subcellular level during early embryogenesis and third instar larval tissues. A high-resolution, high-throughput fluorescence detection method is used to detect expressed mRNAs. The data can be accessed by searching the localization categories, searching for specific genes or browsing the list of tested genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Expression data","Bioimaging","Cellular localization","In situ hybridization","Fluorescence","Messenger RNA"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":2485,"pubmed_id":17923096,"title":"Global analysis of mRNA localization reveals a prominent role in organizing cellular architecture and function.","year":2007,"url":"http://doi.org/10.1016/j.cell.2007.08.003","authors":"Lecuyer E,Yoshida H,Parthasarathy N,Alm C,Babak T,Cerovina T,Hughes TR,Tomancak P,Krause HM","journal":"Cell","doi":"10.1016/j.cell.2007.08.003","created_at":"2021-09-30T08:27:04.711Z","updated_at":"2021-09-30T08:27:04.711Z"},{"id":2494,"pubmed_id":26944682,"title":"Diverse and pervasive subcellular distributions for both coding and long noncoding RNAs.","year":2016,"url":"http://doi.org/10.1101/gad.276931.115","authors":"Wilk R,Hu J,Blotsky D,Krause HM","journal":"Genes Dev","doi":"10.1101/gad.276931.115","created_at":"2021-09-30T08:27:05.853Z","updated_at":"2021-09-30T08:27:05.853Z"}],"licence_links":[],"grants":[{"id":3348,"fairsharing_record_id":2746,"organisation_id":1649,"relation":"maintains","created_at":"2021-09-30T09:26:14.173Z","updated_at":"2021-09-30T09:26:14.173Z","grant_id":null,"is_lead":true,"saved_state":{"id":1649,"name":"Krause Lab, University of Toronto, Canada","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2747","type":"fairsharing_records","attributes":{"created_at":"2018-12-18T11:31:11.000Z","updated_at":"2024-01-03T07:58:10.196Z","metadata":{"doi":"10.25504/FAIRsharing.Q86Asf","name":"Regulatory Element Database for Drosophila","status":"ready","contacts":[{"contact_name":"Marc Halfon","contact_email":"redflyteam@gmail.com","contact_orcid":"0000-0002-4149-2705"}],"homepage":"http://redfly.ccr.buffalo.edu/","citations":[{"doi":"10.3390/insects13070618","pubmed_id":35886794,"publication_id":4072}],"identifier":2747,"description":"REDfly is a curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). REDfly seeks to include all experimentally verified fly regulatory elements along with their DNA sequence, their associated genes, and the expression patterns they direct.","abbreviation":"REDfly","data_curation":{"url":"http://redfly.ccr.buffalo.edu/help.php","type":"manual"},"support_links":[{"url":"http://redfly.ccr.buffalo.edu/contact.php","name":"Contact Form","type":"Contact form"},{"url":"http://redfly.ccr.buffalo.edu/help.php","name":"Help Pages","type":"Help documentation"},{"url":"http://redfly.ccr.buffalo.edu/news.php","name":"News and Release Notes","type":"Help documentation"},{"url":"http://redfly.ccr.buffalo.edu/aboutus.php","name":"About REDfly","type":"Help documentation"},{"url":"https://twitter.com/REDfly_database","name":"@REDfly_database","type":"Twitter"},{"url":"https://mstdn.science/@REDfly","name":"@REDfly@mstdn.science ","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001245","bsg-d001245"],"name":"FAIRsharing record for: Regulatory Element Database for Drosophila","abbreviation":"REDfly","url":"https://fairsharing.org/10.25504/FAIRsharing.Q86Asf","doi":"10.25504/FAIRsharing.Q86Asf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REDfly is a curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). REDfly seeks to include all experimentally verified fly regulatory elements along with their DNA sequence, their associated genes, and the expression patterns they direct.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20014}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Integration","Bioinformatics","Genetics","Life Science","Molecular Genetics","Biology"],"domains":["DNA sequence data","Regulation of gene expression","Biological regulation","Transcription factor","Gene regulatory element","Sequence feature","Binding site","Sequence motif","Regulatory region","Literature curation"],"taxonomies":["Aedes aegypti","Anopheles gambiae","Drosophila melanogaster","Tribolium castaneum"],"user_defined_tags":["cis-regulatory modules"],"countries":["United States"],"publications":[{"id":2478,"pubmed_id":30329093,"title":"REDfly: the transcriptional regulatory element database for Drosophila.","year":2018,"url":"http://doi.org/10.1093/nar/gky957","authors":"Rivera J,Keranen SVE,Gallo SM,Halfon MS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky957","created_at":"2021-09-30T08:27:03.820Z","updated_at":"2021-09-30T11:29:37.428Z"},{"id":2479,"pubmed_id":16303794,"title":"REDfly: a Regulatory Element Database for Drosophila.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti794","authors":"Gallo SM,Li L,Hu Z,Halfon MS","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti794","created_at":"2021-09-30T08:27:04.003Z","updated_at":"2021-09-30T08:27:04.003Z"},{"id":2481,"pubmed_id":18039705,"title":"REDfly 2.0: an integrated database of cis-regulatory modules and transcription factor binding sites in Drosophila.","year":2007,"url":"http://doi.org/10.1093/nar/gkm876","authors":"Halfon MS,Gallo SM,Bergman CM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm876","created_at":"2021-09-30T08:27:04.267Z","updated_at":"2021-09-30T11:29:37.519Z"},{"id":2482,"pubmed_id":20965965,"title":"REDfly v3.0: toward a comprehensive database of transcriptional regulatory elements in Drosophila.","year":2010,"url":"http://doi.org/10.1093/nar/gkq999","authors":"Gallo SM,Gerrard DT,Miner D,Simich M,Des Soye B,Bergman CM,Halfon MS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq999","created_at":"2021-09-30T08:27:04.383Z","updated_at":"2021-09-30T11:29:37.611Z"},{"id":4072,"pubmed_id":35886794,"title":"REDfly: An Integrated Knowledgebase for Insect Regulatory Genomics.","year":2022,"url":"https://doi.org/10.3390/insects13070618","authors":"Keränen SVE, Villahoz-Baleta A, Bruno AE, Halfon MS","journal":"Insects","doi":"10.3390/insects13070618","created_at":"2023-12-19T15:40:53.149Z","updated_at":"2023-12-19T15:40:53.149Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":964,"relation":"undefined"}],"grants":[{"id":3349,"fairsharing_record_id":2747,"organisation_id":415,"relation":"maintains","created_at":"2021-09-30T09:26:14.202Z","updated_at":"2021-09-30T09:26:14.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":415,"name":"Center for Computational Research, University of Buffalo, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3350,"fairsharing_record_id":2747,"organisation_id":1208,"relation":"maintains","created_at":"2021-09-30T09:26:14.226Z","updated_at":"2021-09-30T09:26:14.226Z","grant_id":null,"is_lead":true,"saved_state":{"id":1208,"name":"Halfon Lab, University of Buffalo, United States","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2748","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T08:39:20.000Z","updated_at":"2023-12-15T10:28:58.237Z","metadata":{"doi":"10.25504/FAIRsharing.9btRvC","name":"China National GeneBank DataBase","status":"ready","contacts":[{"contact_name":"Vincent Wei","contact_email":"weixiaofeng@cngb.org","contact_orcid":"0000-0002-6741-5505"}],"homepage":"https://db.cngb.org/","citations":[{"doi":"10.16288/j.yczz.20-080","pubmed_id":32952115,"publication_id":3763}],"identifier":2748,"description":"The China National GeneBank database (CNGBdb) is a unified platform for biological big data sharing and application services. At present, CNGBdb has integrated a large amount of internal and external biological data from resources such as CNGB, NCBI, and the EBI. There are a number of sub databases in CNGBdb, including literature, variation, gene, genome, protein, sequence, organism, project, sample, experiment, run, and assembly. Based on underlying big data and cloud computing technologies, it provides various data services, including archive, analysis, knowledge search, management authorization of biological data. CNGBdb adopts data structures and standards of international omics, health, and medicine, such as The International Nucleotide Sequence Database Collaboration (INSDC), The Global Alliance for Genomics and Health GA4GH (GA4GH), Global Genome Biodiversity Network (GGBN), American College of Medical Genetics and Genomics (ACMG), and constructs standardized data and structures with wide compatibility. All public data and data services provided by CNGBdb are freely available to all users worldwide.\nCNGB Sequence Archive (CNSA) is the bionomics data repository of CNGBdb.\nCNGB Sequence Archive (CNSA) is a convenient and efficient archiving system of multi-omics data in life science, which provides archiving services for raw sequencing reads and further analyzed results. CNSA follows the international data standards for omics data, and supports online and batch submission of multiple data types such as Project, Sample, Experiment/Run, Assembly, Variation, Metabolism, Single cell, and Sequence. Moreover, CNSA has achieved the correlation of sample entities, sample information, and analyze data on some projects. Its data submission service can be used as a supplement to the literature publishing process to support early data sharing.","abbreviation":"CNGBdb","data_curation":{"type":"manual/automated"},"support_links":[{"url":"CNGBdb@cngb.org","name":"CNGBdb Support Mail","type":"Support email"},{"url":"https://db.cngb.org/faq/","name":"faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://db.cngb.org/handbook/","name":"Handbook","type":"Help documentation"},{"url":"https://db.cngb.org/data_standard/","name":"Data Standards Used","type":"Help documentation"},{"url":"https://db.cngb.org/news/","name":"News","type":"Help documentation"},{"url":"https://db.cngb.org/about/","name":"About Us","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"https://db.cngb.org/blast/blast/blastn/","name":"BLAST"},{"url":"https://db.cngb.org/pvd/","name":"Pathogen Variation"},{"url":"https://db.cngb.org/dissect/","name":"DISSECT"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012917","name":"re3data:r3d100012917","portal":"re3data"}],"data_access_condition":{"url":"https://db.cngb.org/data_instructions/","type":"partially open","notes":"All public data and data services provided by CNGBdb are freely available to all users worldwide."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://db.cngb.org/cnsa/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001246","bsg-d001246"],"name":"FAIRsharing record for: China National GeneBank DataBase","abbreviation":"CNGBdb","url":"https://fairsharing.org/10.25504/FAIRsharing.9btRvC","doi":"10.25504/FAIRsharing.9btRvC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The China National GeneBank database (CNGBdb) is a unified platform for biological big data sharing and application services. At present, CNGBdb has integrated a large amount of internal and external biological data from resources such as CNGB, NCBI, and the EBI. There are a number of sub databases in CNGBdb, including literature, variation, gene, genome, protein, sequence, organism, project, sample, experiment, run, and assembly. Based on underlying big data and cloud computing technologies, it provides various data services, including archive, analysis, knowledge search, management authorization of biological data. CNGBdb adopts data structures and standards of international omics, health, and medicine, such as The International Nucleotide Sequence Database Collaboration (INSDC), The Global Alliance for Genomics and Health GA4GH (GA4GH), Global Genome Biodiversity Network (GGBN), American College of Medical Genetics and Genomics (ACMG), and constructs standardized data and structures with wide compatibility. All public data and data services provided by CNGBdb are freely available to all users worldwide.\nCNGB Sequence Archive (CNSA) is the bionomics data repository of CNGBdb.\nCNGB Sequence Archive (CNSA) is a convenient and efficient archiving system of multi-omics data in life science, which provides archiving services for raw sequencing reads and further analyzed results. CNSA follows the international data standards for omics data, and supports online and batch submission of multiple data types such as Project, Sample, Experiment/Run, Assembly, Variation, Metabolism, Single cell, and Sequence. Moreover, CNSA has achieved the correlation of sample entities, sample information, and analyze data on some projects. Its data submission service can be used as a supplement to the literature publishing process to support early data sharing.","linked_records":[],"linking_records":[{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12960}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Data Integration","Epigenomics","Metagenomics","Genomics","Data Management","Proteomics","Life Science","Metabolomics","Transcriptomics","Comparative Genomics","Omics"],"domains":["Taxonomic classification","Resource metadata","Nucleic acid sequence","Experimental measurement","Omics data analysis","Sequencing read","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":3759,"pubmed_id":35512705,"title":"Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays.","year":2022,"url":"https://doi.org/10.1016/j.cell.2022.04.003","authors":"Chen A, Liao S, Cheng M, Ma K, Wu L, Lai Y, Qiu X, Yang J, Xu J, Hao S, Wang X, Lu H, Chen X, Liu X, Huang X, Li Z, Hong Y, Jiang Y, Peng J, Liu S, Shen M, Liu C, Li Q, Yuan Y, Wei X, Zheng H, Feng W, Wang Z, Liu Y, Wang Z, Yang Y, Xiang H, Han L, Qin B, Guo P, Lai G, Muñoz-Cánoves P, Maxwell PH, Thiery JP, Wu QF, Zhao F, Chen B, Li M, Dai X, Wang S, Kuang H, Hui J, Wang L, Fei JF, Wang O, Wei X, Lu H, Wang B, Liu S, Gu Y, Ni M, Zhang W, Mu F, Yin Y, Yang H, Lisby M, Cornall RJ, Mulder J, Uhlén M, Esteban MA, Li Y, Liu L, Xu X, Wang J","journal":"Cell","doi":"10.1016/j.cell.2022.04.003","created_at":"2023-01-04T07:20:26.480Z","updated_at":"2023-01-04T07:20:26.480Z"},{"id":3760,"pubmed_id":31373607,"title":"PIRD: Pan Immune Repertoire Database.","year":2020,"url":"https://doi.org/10.1093/bioinformatics/btz614","authors":"Zhang W, Wang L, Liu K, Wei X, Yang K, Du W, Wang S, Guo N, Ma C, Luo L, Wu J, Lin L, Yang F, Gao F, Wang X, Li T, Zhang R, Saksena NK, Yang H, Wang J, Fang L, Hou Y, Xu X, Liu X","journal":"Bioinformatics (Oxford, England)","doi":"10.1093/bioinformatics/btz614","created_at":"2023-01-04T07:20:58.768Z","updated_at":"2023-01-04T07:20:58.768Z"},{"id":3761,"pubmed_id":34973426,"title":"CDCP: a visualization and analyzing platform for single-cell datasets.","year":2022,"url":"https://doi.org/10.1016/j.jgg.2021.12.004","authors":"Li Y, Yang T, Lai T, You L, Yang F, Qiu J, Wang L, Du W, Hua C, Xu Z, Cai J, Li Z, Liu Y, Li L, Zhang M, Chen J, Zhang L, Chen D, Wang W, Liu S, Wu L, Zeng W, Wang B, Wei X, Liu L, Chen F","journal":"Journal of genetics and genomics = Yi chuan xue bao","doi":"10.1016/j.jgg.2021.12.004","created_at":"2023-01-04T07:21:07.341Z","updated_at":"2023-01-04T07:21:07.341Z"},{"id":3762,"pubmed_id":32705130,"title":"CNSA: a data repository for archiving omics data.","year":2020,"url":"https://doi.org/10.1093/database/baaa055","authors":"Guo X, Chen F, Gao F, Li L, Liu K, You L, Hua C, Yang F, Liu W, Peng C, Wang L, Yang X, Zhou F, Tong J, Cai J, Li Z, Wan B, Zhang L, Yang T, Zhang M, Yang L, Yang Y, Zeng W, Wang B, Wei X, Xu X","journal":"Database : the journal of biological databases and curation","doi":"10.1093/database/baaa055","created_at":"2023-01-04T07:21:43.251Z","updated_at":"2023-01-04T07:21:43.251Z"},{"id":3763,"pubmed_id":32952115,"title":"CNGBdb: China National GeneBank DataBase.","year":2020,"url":"https://doi.org/10.16288/j.yczz.20-080","authors":"Chen FZ, You LJ, Yang F, Wang LN, Guo XQ, Gao F, Hua C, Tan C, Fang L, Shan RQ, Zeng WJ, Wang B, Wang R, Xu X, Wei XF","journal":"Yi chuan = Hereditas","doi":"10.16288/j.yczz.20-080","created_at":"2023-01-04T07:22:10.096Z","updated_at":"2023-01-04T07:22:10.096Z"}],"licence_links":[{"licence_name":"CNGB Privacy and security policy","licence_id":137,"licence_url":"https://db.cngb.org/policy/","link_id":2265,"relation":"undefined"},{"licence_name":"CNGB Terms and conditions","licence_id":138,"licence_url":"https://db.cngb.org/terms/","link_id":2266,"relation":"undefined"},{"licence_name":"CNGB User notice","licence_id":139,"licence_url":"https://db.cngb.org/user_notice/","link_id":2264,"relation":"undefined"}],"grants":[{"id":3354,"fairsharing_record_id":2748,"organisation_id":509,"relation":"maintains","created_at":"2021-09-30T09:26:14.326Z","updated_at":"2021-09-30T09:26:14.326Z","grant_id":null,"is_lead":true,"saved_state":{"id":509,"name":"China National GeneBank, Shenzhen, China","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":10290,"fairsharing_record_id":2748,"organisation_id":3854,"relation":"funds","created_at":"2023-01-04T07:18:24.338Z","updated_at":"2023-01-04T07:18:24.338Z","grant_id":1932,"is_lead":false,"saved_state":{"id":3854,"name":"Department of Science and Technology of Guangdong province","grant":"Guangdong Genome Science Data Center","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3353,"fairsharing_record_id":2748,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:26:14.300Z","updated_at":"2021-09-30T09:30:31.116Z","grant_id":744,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"U1301252","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa1lDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ca43973e3a17be758214ec39e26582e6e7da267f/CNGBdb%20logo%20%E6%A0%87%E5%87%86.png?disposition=inline","exhaustive_licences":false}},{"id":"2760","type":"fairsharing_records","attributes":{"created_at":"2019-03-28T14:52:41.000Z","updated_at":"2024-03-17T17:05:27.027Z","metadata":{"doi":"10.25504/FAIRsharing.lone3g","name":"e-cienciaDatos","status":"ready","contacts":[{"contact_name":"Juan Corrales","contact_email":"eciencia@consorciomadrono.es"}],"homepage":"https://edatos.consorciomadrono.es/","citations":[],"identifier":2760,"description":"e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data. The purpose of this repository is to ensure data preservation and to facilitate data access and reuse. e-cienciaDatos collects datasets from of each of the member universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.","abbreviation":"e-cienciaDatos","data_curation":{"url":"http://www.consorciomadrono.es/docs/eCienciaDatosTechnicalDescription.pdf","type":"manual/automated"},"support_links":[{"url":"http://guides.dataverse.org/en/4.11/user/","name":"User Guide","type":"Help documentation"},{"url":"http://www.consorciomadrono.es/docs/eCienciaDatosTechnicalDescription.pdf","name":"Technical Description","type":"Help documentation"},{"url":"https://edatos.consorciomadrono.es/resources/txt/guiaEcienciaDatos.pdf","name":"Manual (in spanish)","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012316","name":"re3data:r3d100012316","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"http://www.consorciomadrono.es/docs/PreservationPlan.pdf","name":"Data Preservation Plan"},"data_deposition_condition":{"type":"controlled","notes":"depositon from partner institutions only"},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://amt.coretrustseal.org/certificates","name":"CoreTrustSeal"}],"data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001258","bsg-d001258"],"name":"FAIRsharing record for: e-cienciaDatos","abbreviation":"e-cienciaDatos","url":"https://fairsharing.org/10.25504/FAIRsharing.lone3g","doi":"10.25504/FAIRsharing.lone3g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data. The purpose of this repository is to ensure data preservation and to facilitate data access and reuse. e-cienciaDatos collects datasets from of each of the member universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Humanities and Social Science","Astrophysics and Astronomy","Earth Science","Life Science","Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Geospatial Data","institutional repository"],"countries":["Spain"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3182,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":3181,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3183,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3115,"relation":"applies_to_content"}],"grants":[{"id":3381,"fairsharing_record_id":2760,"organisation_id":2961,"relation":"maintains","created_at":"2021-09-30T09:26:14.993Z","updated_at":"2021-09-30T09:26:14.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2961,"name":"Universidad Autonoma de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3384,"fairsharing_record_id":2760,"organisation_id":1742,"relation":"maintains","created_at":"2021-09-30T09:26:15.068Z","updated_at":"2021-09-30T09:26:15.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":1742,"name":"Madroño Consorcio, Madrid, Spain","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3380,"fairsharing_record_id":2760,"organisation_id":2964,"relation":"maintains","created_at":"2021-09-30T09:26:14.969Z","updated_at":"2021-09-30T09:26:14.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":2964,"name":"Universidad de Alcala, Madrid, Spain","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3382,"fairsharing_record_id":2760,"organisation_id":2962,"relation":"maintains","created_at":"2021-09-30T09:26:15.018Z","updated_at":"2021-09-30T09:26:15.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":2962,"name":"Universidad Carlos III de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3383,"fairsharing_record_id":2760,"organisation_id":2967,"relation":"maintains","created_at":"2021-09-30T09:26:15.043Z","updated_at":"2021-09-30T09:26:15.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":2967,"name":"Universidad Nacional de Educacion a Distancia (UNED)","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3385,"fairsharing_record_id":2760,"organisation_id":2968,"relation":"maintains","created_at":"2021-09-30T09:26:15.094Z","updated_at":"2021-09-30T09:26:15.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":2968,"name":"Universidad Politecnica de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3386,"fairsharing_record_id":2760,"organisation_id":3156,"relation":"maintains","created_at":"2021-09-30T09:26:15.120Z","updated_at":"2021-09-30T09:26:15.120Z","grant_id":null,"is_lead":false,"saved_state":{"id":3156,"name":"University Rey Juan Carlos","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdm9EIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--cd8dc68bb00dc8ac7b9b798d83c3f8837b92dfce/logo-ecienciaDatosv2.jpg?disposition=inline","exhaustive_licences":true}},{"id":"2761","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T17:53:06.000Z","updated_at":"2024-03-21T13:59:36.678Z","metadata":{"doi":"10.25504/FAIRsharing.Yedluf","name":"Clinical Interpretation of Variants in Cancer","status":"ready","contacts":[{"contact_name":"Malachi Griffith","contact_email":"help@civicdb.org","contact_orcid":"0000-0002-6388-446X"}],"homepage":"https://civicdb.org/","citations":[{"doi":"10.1038/ng.3774","pubmed_id":28138153,"publication_id":1771}],"identifier":2761,"description":"CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of inherited and somatic variants of all types. Realizing precision medicine will require information to be centralized, debated and interpreted for application in the clinic. CIViC is an open access, open source, community-driven web resource for Clinical Interpretation of Variants in Cancer. Our goal is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations.","abbreviation":"CIViC","data_curation":{"url":"https://civic.readthedocs.io/en/latest/curating.html","type":"manual"},"support_links":[{"url":"https://civicdb.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://civicdb.org/help/introduction","name":"Introduction to CIViC","type":"Help documentation"},{"url":"https://civicdb.org/glossary","name":"Glossary","type":"Help documentation"},{"url":"https://civicdb.org/contact","name":"CIViC contact page","type":"Help documentation"},{"url":"https://griffithlab.github.io/civic-api-docs/","name":"API documentation","type":"Github"},{"url":"https://civicdb.org/community/main","name":"Community Information","type":"Help documentation"},{"url":"https://civicdb.org/participate","name":"How to Contribute","type":"Help documentation"},{"url":"https://civicdb.org/statistics/evidence","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"url":"https://civicdb.org/pages/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001259","bsg-d001259"],"name":"FAIRsharing record for: Clinical Interpretation of Variants in Cancer","abbreviation":"CIViC","url":"https://fairsharing.org/10.25504/FAIRsharing.Yedluf","doi":"10.25504/FAIRsharing.Yedluf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of inherited and somatic variants of all types. Realizing precision medicine will require information to be centralized, debated and interpreted for application in the clinic. CIViC is an open access, open source, community-driven web resource for Clinical Interpretation of Variants in Cancer. Our goal is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12835},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16209}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Bioinformatics","Comparative Genomics","Translational Medicine"],"domains":["Cancer","Diagnosis","Genome","Sequence variant"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1771,"pubmed_id":28138153,"title":"CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer.","year":2017,"url":"http://doi.org/10.1038/ng.3774","authors":"Griffith M,Spies NC,Krysiak K,McMichael JF,Coffman AC,Danos AM,Ainscough BJ,Ramirez CA,Rieke DT,Kujan L,Barnell EK,Wagner AH,Skidmore ZL,Wollam A,Liu CJ,Jones MR,Bilski RL,Lesurf R,Feng YY,Shah NM,Bonakdar M,Trani L,Matlock M,Ramu A,Campbell KM,Spies GC,Graubert AP,Gangavarapu K,Eldred JM,Larson DE,Walker JR,Good BM,Wu C,Su AI,Dienstmann R,Margolin AA,Tamborero D,Lopez-Bigas N,Jones SJ,Bose R,Spencer DH,Wartman LD,Wilson RK,Mardis ER,Griffith OL","journal":"Nat Genet","doi":"10.1038/ng.3774","created_at":"2021-09-30T08:25:38.696Z","updated_at":"2021-09-30T08:25:38.696Z"},{"id":2391,"pubmed_id":30311370,"title":"Adapting crowdsourced clinical cancer curation in CIViC to the ClinGen minimum variant level data community-driven standards.","year":2018,"url":"http://doi.org/10.1002/humu.23651","authors":"Danos AM,Ritter DI,Wagner AH,Krysiak K,Sonkin D,Micheel C,McCoy M,Rao S,Raca G,Boca SM,Roy A,Barnell EK,McMichael JF,Kiwala S,Coffman AC,Kujan L,Kulkarni S,Griffith M,Madhavan S,Griffith OL","journal":"Hum Mutat","doi":"10.1002/humu.23651","created_at":"2021-09-30T08:26:53.684Z","updated_at":"2021-09-30T08:26:53.684Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":956,"relation":"undefined"}],"grants":[{"id":3387,"fairsharing_record_id":2761,"organisation_id":1801,"relation":"maintains","created_at":"2021-09-30T09:26:15.148Z","updated_at":"2021-09-30T09:26:15.148Z","grant_id":null,"is_lead":true,"saved_state":{"id":1801,"name":"McDonnell Genome Institute at Washington University School of Medicine, St, Louis, MO, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3388,"fairsharing_record_id":2761,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:15.199Z","updated_at":"2021-09-30T09:29:20.904Z","grant_id":206,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","grant":"U01CA20993601","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11610,"fairsharing_record_id":2761,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:36.560Z","updated_at":"2024-03-21T13:59:36.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2762","type":"fairsharing_records","attributes":{"created_at":"2019-04-15T12:08:51.000Z","updated_at":"2023-12-15T10:30:42.528Z","metadata":{"doi":"10.25504/FAIRsharing.84Gh9z","name":"AHCODA-DB","status":"ready","contacts":[{"contact_name":"Bastijn Koopmans","contact_email":"bastijn.koopmans@sylics.com","contact_orcid":"0000-0001-8638-9798"}],"homepage":"https://public.sylics.com/","citations":[{"doi":"10.1186/s12859-017-1612-1","pubmed_id":28376796,"publication_id":2330}],"identifier":2762,"description":"AHCODA-DB is a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data. It provides users with tools to systematically explore mouse behavioural data, both with positive and negative outcome, published and unpublished, across time and experiments with single mouse resolution.","abbreviation":"AHCODA-DB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://mousedata.sylics.com/support/","name":"Support","type":"Contact form"},{"url":"https://public.sylics.com/?page=about","name":"About AHCODA-DB","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://public.sylics.com/?page=zscores","name":"Retrieve Z-Scores / Effect Sizes"}],"data_access_condition":{"url":"https://public.sylics.com/?page=about","type":"partially open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://public.sylics.com/?page=about","type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001260","bsg-d001260"],"name":"FAIRsharing record for: AHCODA-DB","abbreviation":"AHCODA-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.84Gh9z","doi":"10.25504/FAIRsharing.84Gh9z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AHCODA-DB is a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data. It provides users with tools to systematically explore mouse behavioural data, both with positive and negative outcome, published and unpublished, across time and experiments with single mouse resolution.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social and Behavioural Science","Phenomics","Neuroscience"],"domains":["Behavior","Cognition"],"taxonomies":["Mus musculus","Rattus rattus"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":2330,"pubmed_id":28376796,"title":"AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data.","year":2017,"url":"http://doi.org/10.1186/s12859-017-1612-1","authors":"Koopmans B, Smit AB, Verhage M, Loos M","journal":"BMC Bioinformatics","doi":"10.1186/s12859-017-1612-1","created_at":"2021-09-30T08:26:46.101Z","updated_at":"2021-09-30T08:26:46.101Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1704,"relation":"undefined"}],"grants":[{"id":3390,"fairsharing_record_id":2762,"organisation_id":2692,"relation":"maintains","created_at":"2021-09-30T09:26:15.270Z","updated_at":"2021-09-30T09:26:15.270Z","grant_id":null,"is_lead":true,"saved_state":{"id":2692,"name":"Sylics","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3391,"fairsharing_record_id":2762,"organisation_id":2125,"relation":"funds","created_at":"2021-09-30T09:26:15.303Z","updated_at":"2021-09-30T09:29:04.467Z","grant_id":81,"is_lead":false,"saved_state":{"id":2125,"name":"Netherlands Enterprise Agency (RVO), Assen, the Netherlands","grant":"BSIK03053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3392,"fairsharing_record_id":2762,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:15.326Z","updated_at":"2021-09-30T09:30:47.940Z","grant_id":876,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"HEALTH-F2-2009-241498","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7944,"fairsharing_record_id":2762,"organisation_id":2125,"relation":"funds","created_at":"2021-09-30T09:29:59.702Z","updated_at":"2021-09-30T09:29:59.746Z","grant_id":504,"is_lead":false,"saved_state":{"id":2125,"name":"Netherlands Enterprise Agency (RVO), Assen, the Netherlands","grant":"Dutch Data Prize 2016","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2749","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T12:59:50.000Z","updated_at":"2023-08-05T08:41:00.601Z","metadata":{"doi":"10.25504/FAIRsharing.91a79b","name":"Collaborative Open Plant Omics","status":"ready","contacts":[{"contact_name":"Felix Shaw","contact_email":"felix.shaw@earlham.ac.uk","contact_orcid":"0000-0001-9649-5906"}],"homepage":"https://copo-project.org/","citations":[{"publication_id":536}],"identifier":2749,"description":"COPO is a portal for plant scientists to describe, store and retrieve data more easily, using community standards and public repositories that enable the open sharing of results. COPO can link your outputs to your ORCiD profile. By tracking unique identifiers and DOIs, COPO can provide a way to monitor usage and get credit for your work, such as source code or research data, which still are not typically cited in the majority of scientific papers. COPO Wizards allow metadata to be added to your research objects with guided help and natural workflows. COPO can suggest metadata that might be appropriate for your data based on past submissions and similar workflows.","abbreviation":"COPO","data_curation":{"type":"not found"},"support_links":[{"url":"https://copo-project.readthedocs.io/en/latest/","name":"User Guide","type":"Help documentation"},{"url":"https://github.com/collaborative-open-plant-omics/COPO","name":"COPO on GitHub","type":"Github"}],"data_versioning":"not found","data_access_condition":{"url":"https://copo-project.org/about/","type":"partially open","notes":"Login with an Orcid profile is required to access any data."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://copo-project.org/copo/login/?next=/copo/","type":"open","notes":"Login with an Orcid profile is required to submit any data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001247","bsg-d001247"],"name":"FAIRsharing record for: Collaborative Open Plant Omics","abbreviation":"COPO","url":"https://fairsharing.org/10.25504/FAIRsharing.91a79b","doi":"10.25504/FAIRsharing.91a79b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: COPO is a portal for plant scientists to describe, store and retrieve data more easily, using community standards and public repositories that enable the open sharing of results. COPO can link your outputs to your ORCiD profile. By tracking unique identifiers and DOIs, COPO can provide a way to monitor usage and get credit for your work, such as source code or research data, which still are not typically cited in the majority of scientific papers. COPO Wizards allow metadata to be added to your research objects with guided help and natural workflows. COPO can suggest metadata that might be appropriate for your data based on past submissions and similar workflows.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11409},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12151}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Data Management"],"domains":["Resource metadata","Experimental measurement","DNA sequence data","Publication","Workflow","Protocol","Study design"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":536,"pubmed_id":null,"title":"COPO: a metadata platform for brokering FAIR data in the life sciences","year":2020,"url":"https://doi.org/10.12688/f1000research.23889.1","authors":"Shaw F, Etuk A, Minotto A et al.","journal":"F1000 Research","doi":"10.12688/f1000research.23889.1","created_at":"2021-09-30T08:23:18.568Z","updated_at":"2023-08-02T19:56:10.878Z"},{"id":3967,"pubmed_id":null,"title":"Collaborative-open-plant-omics/COPO: Release for Wellcome Open Research (v1.9.19)","year":2022,"url":"https://doi.org/10.5281/zenodo.7258483","authors":"Alice Minotto, Felix Shaw, Anthony Etuk, \u0026 Aaliyah Providence","journal":"Zenodo","doi":"10.5281/zenodo.7258483","created_at":"2023-08-02T19:55:30.199Z","updated_at":"2023-08-02T19:55:30.199Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":3306,"relation":"applies_to_content"}],"grants":[{"id":3355,"fairsharing_record_id":2749,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:26:14.360Z","updated_at":"2021-09-30T09:26:14.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3357,"fairsharing_record_id":2749,"organisation_id":3154,"relation":"maintains","created_at":"2021-09-30T09:26:14.417Z","updated_at":"2021-09-30T09:26:14.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3358,"fairsharing_record_id":2749,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:26:14.433Z","updated_at":"2021-09-30T09:26:14.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3356,"fairsharing_record_id":2749,"organisation_id":801,"relation":"maintains","created_at":"2021-09-30T09:26:14.385Z","updated_at":"2023-08-02T19:56:43.638Z","grant_id":null,"is_lead":true,"saved_state":{"id":801,"name":"Earlham Institute, Norwich, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2750","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T13:57:34.000Z","updated_at":"2023-10-30T13:59:34.160Z","metadata":{"name":"ionomicHUB","status":"deprecated","contacts":[{"contact_name":"David E. Salt","contact_email":"dsalt@purdue.edu"}],"homepage":"https://www.ionomicshub.org/home/PiiMS","citations":[],"identifier":2750,"description":"ionomicHUB provides curated ionomic data on many thousands of plant samples freely available to the public. It is an international collaborative cyber research environment to help identify and understand the genes and gene networks that function to control the ionome, the mineral nutrient and trace element composition of an organism or tissue. The iHUB is a collaborative workspace with components that integrate both cyberinfrastructure and human interactions to maximize both community access to ionomic resources, and knowledge extraction from these resources. An ongoing site migration has resulted in this resource being listed with an \"In development\" status.","abbreviation":"iHUB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ionomicshub.org/ionomicsatlas/quickstartguide.pdf","name":"Ionomics Atlas Quick Start Guide","type":"Help documentation"},{"url":"http://ionomics.blogspot.com/feeds/posts/default?alt=rss","name":"RSS Feed","type":"Blog/News"}],"year_creation":2006,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010857","name":"re3data:r3d100010857","portal":"re3data"}],"deprecation_date":"2023-10-30","deprecation_reason":"This resource is no longer available at the stated homepage, and no alternative homepage can be found, therefore the record has been deprecated. Please get in touch with us if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001248","bsg-d001248"],"name":"FAIRsharing record for: ionomicHUB","abbreviation":"iHUB","url":"https://fairsharing.org/fairsharing_records/2750","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ionomicHUB provides curated ionomic data on many thousands of plant samples freely available to the public. It is an international collaborative cyber research environment to help identify and understand the genes and gene networks that function to control the ionome, the mineral nutrient and trace element composition of an organism or tissue. The iHUB is a collaborative workspace with components that integrate both cyberinfrastructure and human interactions to maximize both community access to ionomic resources, and knowledge extraction from these resources. An ongoing site migration has resulted in this resource being listed with an \"In development\" status.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11410},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12152}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Genetics","Life Science"],"domains":["Protein interaction","Gene"],"taxonomies":["Arabidopsis thaliana","Glycine max","Oryza sativa","Zea mays"],"user_defined_tags":["Income"],"countries":["United Kingdom"],"publications":[{"id":2714,"pubmed_id":17189337,"title":"Purdue ionomics information management system. An integrated functional genomics platform.","year":2006,"url":"http://doi.org/10.1104/pp.106.092528","authors":"Baxter I,Ouzzani M,Orcun S,Kennedy B,Jandhyala SS,Salt DE","journal":"Plant Physiol","doi":"10.1104/pp.106.092528","created_at":"2021-09-30T08:27:33.305Z","updated_at":"2021-09-30T08:27:33.305Z"}],"licence_links":[{"licence_name":"University of Nottingham Privacy","licence_id":824,"licence_url":"https://www.nottingham.ac.uk/utilities/privacy/privacy.aspx","link_id":1738,"relation":"undefined"},{"licence_name":"University of Nottingham Terms of Use","licence_id":825,"licence_url":"https://www.nottingham.ac.uk/utilities/terms.aspx","link_id":1737,"relation":"undefined"}],"grants":[{"id":3359,"fairsharing_record_id":2750,"organisation_id":2385,"relation":"funds","created_at":"2021-09-30T09:26:14.450Z","updated_at":"2021-09-30T09:26:14.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":2385,"name":"Purdue University Discovery Park, West Lafayette, IN, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3361,"fairsharing_record_id":2750,"organisation_id":1326,"relation":"funds","created_at":"2021-09-30T09:26:14.483Z","updated_at":"2021-09-30T09:31:12.883Z","grant_id":1067,"is_lead":false,"saved_state":{"id":1326,"name":"Indiana's 21st Century Research \u0026 Technology Fund, Muncie, IN , USA","grant":"912010479","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3364,"fairsharing_record_id":2750,"organisation_id":2848,"relation":"maintains","created_at":"2021-09-30T09:26:14.533Z","updated_at":"2021-09-30T09:26:14.533Z","grant_id":null,"is_lead":true,"saved_state":{"id":2848,"name":"The University of Nottingham, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3360,"fairsharing_record_id":2750,"organisation_id":2590,"relation":"maintains","created_at":"2021-09-30T09:26:14.467Z","updated_at":"2021-09-30T09:26:14.467Z","grant_id":null,"is_lead":false,"saved_state":{"id":2590,"name":"Software Sustainability Institute, Edinburgh, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3362,"fairsharing_record_id":2750,"organisation_id":2075,"relation":"funds","created_at":"2021-09-30T09:26:14.500Z","updated_at":"2021-09-30T09:29:34.695Z","grant_id":309,"is_lead":false,"saved_state":{"id":2075,"name":"National Science Foundation Plant Genome Research, Alexandria, VA, USA","grant":"DBI 0077378","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3365,"fairsharing_record_id":2750,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:14.550Z","updated_at":"2021-09-30T09:30:56.119Z","grant_id":941,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5 R33 DK070290–03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3363,"fairsharing_record_id":2750,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:14.517Z","updated_at":"2021-09-30T09:30:23.017Z","grant_id":686,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOB 0419695","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2766","type":"fairsharing_records","attributes":{"created_at":"2019-05-09T14:46:29.000Z","updated_at":"2023-12-15T10:28:09.203Z","metadata":{"doi":"10.25504/FAIRsharing.wBOua0","name":"PLAZA","status":"ready","contacts":[{"contact_name":"Klaas Vandepoele","contact_email":"plaza@psb.vib-ugent.be","contact_orcid":"0000-0003-4790-2725"},{"contact_name":"General Contact","contact_email":"plaza@psb.vib-ugent.be","contact_orcid":null}],"homepage":"https://bioinformatics.psb.ugent.be/plaza/","citations":[{"doi":"10.1093/nar/gkx1002","pubmed_id":29069403,"publication_id":193},{"doi":"10.1093/nar/gkab1024","pubmed_id":null,"publication_id":3232}],"identifier":2766,"description":"PLAZA is a platform for comparative, evolutionary, and functional genomics. It makes a broad set of genomes, data types and analysis tools available to researchers through a user-friendly website, an API, and bulk downloads. The platform consists of multiple instances, where each instance contains additional genomes, improved genome annotations, new software tools, and similar.","abbreviation":"PLAZA","data_curation":{"type":"not found"},"support_links":[{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/pages/fair_data","name":"PLAZA and FAIR data","type":"Help documentation"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation","name":"PLAZA Documentation","type":"Help documentation"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/news","name":"News","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/plant-bioinformatics","name":"Plant Bioinformatics","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/plaza-is-a-plant-oriented-online-resource-for-comparative-evolutionary-and-functional-genomics","name":"PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics","type":"TeSS links to training materials"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation/tutorial","name":"PLAZA Tutorials","type":"Training documentation"},{"url":"https://twitter.com/plaza_genomics","name":"@plaza_genomics","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://phyd3.bits.vib.be","name":"PhyD3 v1.0"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation/intro_tutorial#navigation_table_tools","name":"PLAZA Tool Listing"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001265","bsg-d001265"],"name":"FAIRsharing record for: PLAZA","abbreviation":"PLAZA","url":"https://fairsharing.org/10.25504/FAIRsharing.wBOua0","doi":"10.25504/FAIRsharing.wBOua0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PLAZA is a platform for comparative, evolutionary, and functional genomics. It makes a broad set of genomes, data types and analysis tools available to researchers through a user-friendly website, an API, and bulk downloads. The platform consists of multiple instances, where each instance contains additional genomes, improved genome annotations, new software tools, and similar.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12838},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13994}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Phylogenetics","Evolutionary Biology","Life Science","Communication Science"],"domains":["Protein domain","Gene Ontology enrichment","Genome annotation","Function analysis","Protein Analysis","Classification","Amino acid sequence","Genome","FAIR"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":193,"pubmed_id":29069403,"title":"PLAZA 4.0: an integrative resource for functional, evolutionary and comparative plant genomics.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1002","authors":"Van Bel M,Diels T,Vancaester E,Kreft L,Botzki A,Van de Peer Y,Coppens F,Vandepoele K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1002","created_at":"2021-09-30T08:22:41.112Z","updated_at":"2021-09-30T11:28:43.841Z"},{"id":1983,"pubmed_id":20040540,"title":"PLAZA: a comparative genomics resource to study gene and genome evolution in plants.","year":2009,"url":"http://doi.org/10.1105/tpc.109.071506","authors":"Proost S,Van Bel M,Sterck L,Billiau K,Van Parys T,Van de Peer Y,Vandepoele K","journal":"Plant Cell","doi":"10.1105/tpc.109.071506","created_at":"2021-09-30T08:26:03.165Z","updated_at":"2021-09-30T08:26:03.165Z"},{"id":1993,"pubmed_id":22198273,"title":"Dissecting plant genomes with the PLAZA comparative genomics platform.","year":2011,"url":"http://doi.org/10.1104/pp.111.189514","authors":"Van Bel M,Proost S,Wischnitzki E,Movahedi S,Scheerlinck C,Van de Peer Y,Vandepoele K","journal":"Plant Physiol","doi":"10.1104/pp.111.189514","created_at":"2021-09-30T08:26:04.357Z","updated_at":"2021-09-30T08:26:04.357Z"},{"id":1996,"pubmed_id":25324309,"title":"PLAZA 3.0: an access point for plant comparative genomics.","year":2014,"url":"http://doi.org/10.1093/nar/gku986","authors":"Proost S,Van Bel M,Vaneechoutte D,Van de Peer Y,Inze D,Mueller-Roeber B,Vandepoele K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku986","created_at":"2021-09-30T08:26:04.680Z","updated_at":"2021-09-30T11:29:25.303Z"},{"id":3232,"pubmed_id":null,"title":"PLAZA 5.0: extending the scope and power of comparative and functional genomics in plants","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1024","authors":"Van Bel, Michiel; Silvestri, Francesca; Weitz, Eric M; Kreft, Lukasz; Botzki, Alexander; Coppens, Frederik; Vandepoele, Klaas; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1024","created_at":"2022-02-09T16:44:14.946Z","updated_at":"2022-02-09T16:44:14.946Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1477,"relation":"undefined"}],"grants":[{"id":3418,"fairsharing_record_id":2766,"organisation_id":3184,"relation":"maintains","created_at":"2021-09-30T09:26:16.005Z","updated_at":"2021-09-30T09:26:16.005Z","grant_id":null,"is_lead":true,"saved_state":{"id":3184,"name":"VIB-UGent Center for Plant Systems Biology, Ghent, Belgium","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3417,"fairsharing_record_id":2766,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:26:15.969Z","updated_at":"2021-09-30T09:26:15.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10022,"fairsharing_record_id":2766,"organisation_id":841,"relation":"funds","created_at":"2022-10-13T09:43:39.044Z","updated_at":"2022-10-13T09:43:39.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8796,"fairsharing_record_id":2766,"organisation_id":3183,"relation":"funds","created_at":"2022-02-09T16:47:04.264Z","updated_at":"2022-02-09T16:47:04.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":3183,"name":"VIB, Belgium","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8798,"fairsharing_record_id":2766,"organisation_id":3381,"relation":"funds","created_at":"2022-02-09T16:47:04.289Z","updated_at":"2022-02-09T16:47:04.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":3381,"name":"University of Potsdam","types":["University"],"is_lead":false,"relation":"funds"}},{"id":8799,"fairsharing_record_id":2766,"organisation_id":1793,"relation":"funds","created_at":"2022-02-09T16:47:04.310Z","updated_at":"2022-02-09T16:47:04.310Z","grant_id":null,"is_lead":false,"saved_state":{"id":1793,"name":"Max Planck Institute of Molecular Plant Physiology (MPIMP), Munich, Germany","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3416,"fairsharing_record_id":2766,"organisation_id":3183,"relation":"maintains","created_at":"2021-09-30T09:26:15.944Z","updated_at":"2021-09-30T09:26:15.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":3183,"name":"VIB, Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9150,"fairsharing_record_id":2766,"organisation_id":1152,"relation":"funds","created_at":"2022-04-11T12:07:17.772Z","updated_at":"2022-04-11T12:07:17.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBMUT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a97cccb19da7576a6a5803677a07961471ce227d/plaza.png?disposition=inline","exhaustive_licences":false}},{"id":"2768","type":"fairsharing_records","attributes":{"created_at":"2019-04-09T09:31:03.000Z","updated_at":"2023-06-22T17:31:52.706Z","metadata":{"doi":"10.25504/FAIRsharing.Tb0BKn","name":"Science Data Bank","status":"ready","contacts":[{"contact_name":"Jiang Lulu","contact_email":"sciencedb@cnic.cn"}],"homepage":"https://www.scidb.cn/en","citations":[],"identifier":2768,"description":"ScienceDB (Science Data Bank) is an open generalist data repository developed and maintained by the CNIC. It promotes the publication and reuse of scientific data. Researchers and journal publishers can use it to store, manage and share science data.","abbreviation":"ScienceDB","data_curation":{"url":"https://www.scidb.cn/en/publishing_process","type":"manual"},"support_links":[{"url":"https://www.scidb.cn/en/English/ours/faq","name":"ScienceDB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.sciencedb.cn/static/submit","name":"Guide for Researchers","type":"Help documentation"},{"url":"https://www.sciencedb.cn/static/use","name":"Guide for Journal Publishers","type":"Help documentation"},{"url":"https://www.scidb.cn/en/English/ours/use","name":"Introduction","type":"Help documentation"},{"url":"https://www.sciencedb.cn/news/listPage","name":"News","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013177","name":"re3data:r3d100013177","portal":"re3data"}],"data_access_condition":{"url":"https://www.scidb.cn/en/faq#item7","type":"partially open","notes":"Portions of the database are restricted and will require a data access agreement"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.scidb.cn/en/faq#item10","name":"ScienceDB provides permanent access to all data accepted for publishing on this site, unless the data violates relevant rules or regulations"},"data_deposition_condition":{"url":"https://www.scidb.cn/en/publishing_process","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001267","bsg-d001267"],"name":"FAIRsharing record for: Science Data Bank","abbreviation":"ScienceDB","url":"https://fairsharing.org/10.25504/FAIRsharing.Tb0BKn","doi":"10.25504/FAIRsharing.Tb0BKn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ScienceDB (Science Data Bank) is an open generalist data repository developed and maintained by the CNIC. It promotes the publication and reuse of scientific data. Researchers and journal publishers can use it to store, manage and share science data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Aerospace Engineering","Data Management","Earth Science","Life Science","Subject Agnostic","Chemical Engineering","Biology","Mechanics"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Sociology"],"countries":["China"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1814,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":2560,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2558,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":2559,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":2561,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2557,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1819,"relation":"undefined"},{"licence_name":"ScienceDB Terms and Conditions","licence_id":736,"licence_url":"https://www.scidb.cn/en/English/ours/serviceTerm","link_id":1808,"relation":"applies_to_content"}],"grants":[{"id":3422,"fairsharing_record_id":2768,"organisation_id":588,"relation":"maintains","created_at":"2021-09-30T09:26:16.103Z","updated_at":"2021-09-30T09:26:16.103Z","grant_id":null,"is_lead":true,"saved_state":{"id":588,"name":"Computer Network Information Center, Chinese Academy of Sciences","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2770","type":"fairsharing_records","attributes":{"created_at":"2019-05-06T12:50:23.000Z","updated_at":"2024-06-27T12:31:42.634Z","metadata":{"doi":"10.25504/FAIRsharing.EnRBIa","name":"Federated Research Data Repository","status":"ready","contacts":[{"contact_name":"Lee Wilson","contact_email":"lee.wilson@engagedri.ca","contact_orcid":"0000-0003-2878-8349"}],"homepage":"https://www.frdr-dfdr.ca/","citations":[],"identifier":2770,"description":"The Federated Research Data Repository (FRDR) is a place for Canadian researchers to deposit and share research data and to facilitate discovery of research data in Canadian repositories.","abbreviation":"FRDR","data_curation":{"url":"https://www.frdr-dfdr.ca/repo/","type":"manual"},"support_links":[{"url":"support@frdr-dfdr.ca","name":"FRDR Support","type":"Support email"},{"url":"https://www.frdr-dfdr.ca/docs/en/documentation/","name":"FRDR Documentation","type":"Help documentation"},{"url":"https://youtube.com/playlist?list=PLX9EpizS4A0suoSV2N0nn9parl96xHPkz","name":"FRDR Tutorial Videos","type":"Video"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://www.globus.org/data-transfer","name":"Globus Transfer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012646","name":"re3data:r3d100012646","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.frdr-dfdr.ca/repo/","type":"controlled","notes":"Only Canadian research data can be submitted"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001269","bsg-d001269"],"name":"FAIRsharing record for: Federated Research Data Repository","abbreviation":"FRDR","url":"https://fairsharing.org/10.25504/FAIRsharing.EnRBIa","doi":"10.25504/FAIRsharing.EnRBIa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Federated Research Data Repository (FRDR) is a place for Canadian researchers to deposit and share research data and to facilitate discovery of research data in Canadian repositories.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12985}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Health Science","Earth Science","Agriculture","Subject Agnostic"],"domains":["Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":2621,"pubmed_id":null,"title":"Exploring the Canadian Federated Research Data Repository Service","year":2017,"url":"https://doi.org/10.3897/tdwgproceedings.1.20185","authors":"Lee Wilson","journal":"Proceedings of TDWG 1","doi":null,"created_at":"2021-09-30T08:27:21.763Z","updated_at":"2021-09-30T08:27:21.763Z"},{"id":2636,"pubmed_id":null,"title":"Checksums on Modern Filesystems, or: On the virtuous consumption of CPU cycles","year":2018,"url":"https://doi.org/10.17605/OSF.IO/Y4Z3E","authors":"Alex Garnett, Justin Simpson, Mike Winter","journal":"Proceedings of iPres2018 Conference","doi":null,"created_at":"2021-09-30T08:27:23.754Z","updated_at":"2021-09-30T08:27:23.754Z"},{"id":2638,"pubmed_id":null,"title":"Open Metadata for Research Data Discovery in Canada","year":2017,"url":"https://doi.org/10.1080/19386389.2018.1443698","authors":"Alex Garnett, Amber Leahey, Dany Savard, Barbara Towell, Lee Wilson","journal":"Journal of Library Metadata","doi":null,"created_at":"2021-09-30T08:27:23.988Z","updated_at":"2021-09-30T08:27:23.988Z"}],"licence_links":[{"licence_name":"FRDR Terms of Service","licence_id":323,"licence_url":"https://www.frdr-dfdr.ca/docs/en/terms_of_use/","link_id":1656,"relation":"undefined"}],"grants":[{"id":3426,"fairsharing_record_id":2770,"organisation_id":3437,"relation":"maintains","created_at":"2021-09-30T09:26:16.246Z","updated_at":"2024-06-26T12:53:54.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":3437,"name":"Digital Research Alliance of Canada","types":["Government body","Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3425,"fairsharing_record_id":2770,"organisation_id":2348,"relation":"maintains","created_at":"2021-09-30T09:26:16.213Z","updated_at":"2021-09-30T09:26:16.213Z","grant_id":null,"is_lead":true,"saved_state":{"id":2348,"name":"Portage Network","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10028,"fairsharing_record_id":2770,"organisation_id":3437,"relation":"funds","created_at":"2022-10-13T09:43:40.052Z","updated_at":"2022-10-13T09:43:40.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":3437,"name":"Digital Research Alliance of Canada","types":["Government body","Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2758","type":"fairsharing_records","attributes":{"created_at":"2019-03-06T15:41:09.000Z","updated_at":"2023-12-15T10:29:01.100Z","metadata":{"doi":"10.25504/FAIRsharing.6AmTXC","name":"Biodiversity Exploratories Information System","status":"ready","contacts":[{"contact_name":"Andreas Ostrowski","contact_email":"bexis@listserv.uni-jena.de","contact_orcid":"0000-0002-2033-779X"}],"homepage":"https://www.bexis.uni-jena.de/","citations":[],"identifier":2758,"description":"BExIS is the online data repository and information system of the Biodiversity Exploratories Project (BE). The BE is a German network of biodiversity related working groups from areas such as vegetation and soil science, zoology and forestry. Up to three years after data acquisition, the data use is restricted to members of the BE. Thereafter, the data is usually publicly available.","abbreviation":"BExIS","data_curation":{"url":"https://mint.bio.uniroma2.it/index.php/sample-page/","type":"manual/automated","notes":"MINT has signed the IMEx agreement to share curation efforts and supports the Protein Standard Initiative (PSI) recommendation."},"support_links":[{"url":"bexis@listserv.uni-jena.de","name":"contact mail","type":"Mailing list"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToRegister.md","name":"How to Register","type":"Help documentation"},{"url":"https://twitter.com/BExplo_research","name":"@BExplo_research","type":"Twitter"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToUpload.md","name":"How to Upload","type":"Help documentation"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToSearch.md","name":"How to Search","type":"Help documentation"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToCreditData.md","name":"How to Credit Data","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012058","name":"re3data:r3d100012058","portal":"re3data"}],"data_access_condition":{"url":"https://www.bexis.uni-jena.de/TermsAndConditions/Index","type":"partially open","notes":"In order to download publicly available data, you need to confirm a dedicated data agreemen"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToUpload.md","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001256","bsg-d001256"],"name":"FAIRsharing record for: Biodiversity Exploratories Information System","abbreviation":"BExIS","url":"https://fairsharing.org/10.25504/FAIRsharing.6AmTXC","doi":"10.25504/FAIRsharing.6AmTXC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BExIS is the online data repository and information system of the Biodiversity Exploratories Project (BE). The BE is a German network of biodiversity related working groups from areas such as vegetation and soil science, zoology and forestry. Up to three years after data acquisition, the data use is restricted to members of the BE. Thereafter, the data is usually publicly available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Soil Science","Botany","Zoology","Ecology","Biodiversity"],"domains":["Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":113,"pubmed_id":null,"title":"Diverse or uniform? — Intercomparison of two major German project databases for interdisciplinary collaborative functional biodiversity research","year":2012,"url":"http://doi.org/https://doi.org/10.1016/j.ecoinf.2011.11.004","authors":"Lotz T., Nieschulze J., Bendix J., Dobbermann M., König-Ries B.","journal":"Ecological Informatics","doi":"https://doi.org/10.1016/j.ecoinf.2011.11.004","created_at":"2021-09-30T08:22:32.580Z","updated_at":"2021-09-30T08:22:32.580Z"},{"id":3171,"pubmed_id":null,"title":"BEXIS2: A FAIR-aligned data management system for biodiversity, ecology and environmental data","year":2021,"url":"http://dx.doi.org/10.3897/BDJ.9.e72901","authors":"Chamanara, Javad; Gaikwad, Jitendra; Gerlach, Roman; Algergawy, Alsayed; Ostrowski, Andreas; König-Ries, Birgitta; ","journal":"BDJ","doi":"10.3897/bdj.9.e72901","created_at":"2022-01-05T11:19:27.769Z","updated_at":"2022-01-05T11:19:27.769Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2545,"relation":"applies_to_content"},{"licence_name":"BExIS Terms and Conditions","licence_id":898,"licence_url":"https://www.bexis.uni-jena.de/footer/termsandconditions","link_id":2546,"relation":"applies_to_content"}],"grants":[{"id":3376,"fairsharing_record_id":2758,"organisation_id":1064,"relation":"maintains","created_at":"2021-09-30T09:26:14.868Z","updated_at":"2021-09-30T09:26:14.868Z","grant_id":null,"is_lead":true,"saved_state":{"id":1064,"name":"Friedrich Schiller University Jena","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3377,"fairsharing_record_id":2758,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:14.893Z","updated_at":"2021-09-30T09:26:14.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2759","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T05:32:49.000Z","updated_at":"2024-03-21T13:58:54.308Z","metadata":{"doi":"10.25504/FAIRsharing.5Pze7l","name":"GlyTouCan","status":"ready","contacts":[{"contact_name":"Kiyoko F. Aoki-Kinoshita","contact_email":"kkiyoko@soka.ac.jp"}],"homepage":"https://glytoucan.org","citations":[{"doi":"10.1093/glycob/cwx066","pubmed_id":28922742,"publication_id":2317}],"identifier":2759,"description":"The international glycan structure repository for glycans published in the literature. Any glycan structure, ranging in resolution from monosaccharide composition to fully defined structures can be registered and have an accession number assigned as long as there are no inconsistencies in the structure.","abbreviation":"GlyTouCan","data_curation":{"url":"https://glytoucan.org/","type":"none"},"support_links":[{"url":"glytoucan@gmail.com","name":"GlyTouCan Support","type":"Support email"},{"url":"https://twitter.com/glytoucan","name":"@glytoucan","type":"Twitter"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012388","name":"re3data:r3d100012388","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open","notes":"Free login is required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001257","bsg-d001257"],"name":"FAIRsharing record for: GlyTouCan","abbreviation":"GlyTouCan","url":"https://fairsharing.org/10.25504/FAIRsharing.5Pze7l","doi":"10.25504/FAIRsharing.5Pze7l","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The international glycan structure repository for glycans published in the literature. Any glycan structure, ranging in resolution from monosaccharide composition to fully defined structures can be registered and have an accession number assigned as long as there are no inconsistencies in the structure.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12834}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology","Glycomics"],"domains":["Molecular structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2317,"pubmed_id":28922742,"title":"GlyTouCan: an accessible glycan structure repository.","year":2017,"url":"http://doi.org/10.1093/glycob/cwx066","authors":"Tiemeyer M,Aoki K,Paulson J,Cummings RD,York WS,Karlsson NG,Lisacek F,Packer NH,Campbell MP,Aoki NP,Fujita A,Matsubara M,Shinmachi D,Tsuchiya S,Yamada I,Pierce M,Ranzinger R,Narimatsu H,Aoki-Kinoshita KF","journal":"Glycobiology","doi":"10.1093/glycob/cwx066","created_at":"2021-09-30T08:26:44.301Z","updated_at":"2021-09-30T08:26:44.301Z"},{"id":2318,"pubmed_id":26476458,"title":"GlyTouCan 1.0--The international glycan structure repository.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1041","authors":"Aoki-Kinoshita K,Agravat S,Aoki NP,Arpinar S,Cummings RD,Fujita A,Fujita N,Hart GM,Haslam SM,Kawasaki T,Matsubara M,Moreman KW,Okuda S,Pierce M,Ranzinger R,Shikanai T,Shinmachi D,Solovieva E,Suzuki Y,Tsuchiya S,Yamada I,York WS,Zaia J,Narimatsu H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1041","created_at":"2021-09-30T08:26:44.458Z","updated_at":"2021-09-30T11:29:33.027Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":8,"relation":"undefined"}],"grants":[{"id":3378,"fairsharing_record_id":2759,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:26:14.918Z","updated_at":"2021-09-30T09:26:14.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11556,"fairsharing_record_id":2759,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:54.130Z","updated_at":"2024-03-21T13:58:54.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2789","type":"fairsharing_records","attributes":{"created_at":"2019-07-04T13:14:17.000Z","updated_at":"2022-07-20T12:10:39.665Z","metadata":{"name":"Long Term Ecological Research Network Information System Data Portal","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"support@environmentaldatainitiative.org"}],"homepage":"https://portal.lternet.edu/nis/home.jsp","identifier":2789,"description":"The LTER Network Information System Data Portal contains ecological data packages contributed by past and present LTER sites. Data and metadata derived from publicly funded research in the U.S. LTER Network are made available online with as few restrictions as possible, on a non-discriminatory basis. The LTER is able to support high-level analysis and synthesis of complex ecosystem data across the science-policy-management continuum, which in turn helps advance ecosystem research.","abbreviation":"LTER NIS Data Portal","data_curation":{"type":"not found"},"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://portal.lternet.edu/nis/provenanceGenerator.jsp","name":"Provenance Generator"},{"url":"https://portal.lternet.edu/nis/metadataPreviewer.jsp","name":"Metadata Previewer"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by the Environmental Data Initiative Data Repository.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001288","bsg-d001288"],"name":"FAIRsharing record for: Long Term Ecological Research Network Information System Data Portal","abbreviation":"LTER NIS Data Portal","url":"https://fairsharing.org/fairsharing_records/2789","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LTER Network Information System Data Portal contains ecological data packages contributed by past and present LTER sites. Data and metadata derived from publicly funded research in the U.S. LTER Network are made available online with as few restrictions as possible, on a non-discriminatory basis. The LTER is able to support high-level analysis and synthesis of complex ecosystem data across the science-policy-management continuum, which in turn helps advance ecosystem research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Ecology","Life Science","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3473,"fairsharing_record_id":2789,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.528Z","updated_at":"2021-09-30T09:29:20.644Z","grant_id":204,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#DEB-0936498","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3472,"fairsharing_record_id":2789,"organisation_id":1725,"relation":"maintains","created_at":"2021-09-30T09:26:17.504Z","updated_at":"2021-09-30T09:26:17.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":1725,"name":"Long-Term Ecological Research (LTER) Network","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3474,"fairsharing_record_id":2789,"organisation_id":866,"relation":"maintains","created_at":"2021-09-30T09:26:17.554Z","updated_at":"2021-09-30T09:26:17.554Z","grant_id":null,"is_lead":true,"saved_state":{"id":866,"name":"Environmental Data Initiative, Center for Limnology, University of Wisconsin, Madison, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7984,"fairsharing_record_id":2789,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:15.435Z","updated_at":"2021-09-30T09:30:15.491Z","grant_id":624,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#DEB-0832652","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2790","type":"fairsharing_records","attributes":{"created_at":"2019-07-09T10:41:30.000Z","updated_at":"2023-06-23T15:05:28.843Z","metadata":{"doi":"10.25504/FAIRsharing.22e3be","name":"Princeton University MicroArray database","status":"ready","contacts":[{"contact_name":"John Matese","contact_email":"jcmatese@princeton.edu","contact_orcid":"0000-0002-9432-8909"}],"homepage":"http://puma.princeton.edu","citations":[],"identifier":2790,"description":"The Princeton University MicroArray database (PUMAdb) stores raw and normalized data from microarray experiments, as well as their corresponding image files. In addition, PUMAdb provides interfaces for data retrieval, analysis and visualization.","abbreviation":"PUMAdb","data_curation":{"url":"https://puma.princeton.edu/help/FAQ.shtml","type":"manual/automated","notes":"Database curator at:array@princeton.edu."},"support_links":[{"url":"array@princeton.edu","type":"Support email"},{"url":"https://puma.princeton.edu/help/FAQ.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"https://puma.princeton.edu/help/index.shtml","name":"Online help documentation","type":"Help documentation"},{"url":"https://puma.princeton.edu/help/searches_subpage.shtml","name":"How to search","type":"Help documentation"},{"url":"https://puma.princeton.edu/help/analysis_subpage.shtml","name":"Data Analysis Help Topics","type":"Help documentation"},{"url":"https://puma.princeton.edu/help/tutorials_subpage.shtml","type":"Training documentation"},{"url":"https://puma.princeton.edu/help/glossary.shtml","name":"Glossary Terms","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","associated_tools":[{"url":"https://puma.princeton.edu/help/tools.shtml","name":"PUMAdb Tools"}],"data_access_condition":{"url":"https://puma.princeton.edu/help/Account_Access.shtml","type":"partially open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://puma.princeton.edu/help/enter_expts.shtml","type":"controlled","notes":"Data entry requirements are provided."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001289","bsg-d001289"],"name":"FAIRsharing record for: Princeton University MicroArray database","abbreviation":"PUMAdb","url":"https://fairsharing.org/10.25504/FAIRsharing.22e3be","doi":"10.25504/FAIRsharing.22e3be","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Princeton University MicroArray database (PUMAdb) stores raw and normalized data from microarray experiments, as well as their corresponding image files. In addition, PUMAdb provides interfaces for data retrieval, analysis and visualization.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12845}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Raw microarray data","Microarray experiment","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2082,"pubmed_id":15608265,"title":"The Stanford Microarray Database accommodates additional microarray platforms and data formats.","year":2004,"url":"http://doi.org/10.1093/nar/gki006","authors":"Ball CA,Awad IA,Demeter J,Gollub J,Hebert JM,Hernandez-Boussard T,Jin H,Matese JC,Nitzberg M,Wymore F,Zachariah ZK,Brown PO,Sherlock G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki006","created_at":"2021-09-30T08:26:14.756Z","updated_at":"2021-09-30T11:29:28.079Z"},{"id":2088,"pubmed_id":12519956,"title":"The Stanford Microarray Database: data access and quality assessment tools.","year":2003,"url":"http://doi.org/10.1093/nar/gkg078","authors":"Gollub J,Ball CA,Binkley G,Demeter J,Finkelstein DB,Hebert JM,Hernandez-Boussard T,Jin H,Kaloper M,Matese JC,Schroeder M,Brown PO,Botstein D,Sherlock G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg078","created_at":"2021-09-30T08:26:15.364Z","updated_at":"2021-09-30T11:29:28.853Z"},{"id":2359,"pubmed_id":11125075,"title":"The Stanford Microarray Database.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.152","authors":"Sherlock G,Hernandez-Boussard T,Kasarskis A,Binkley G,Matese JC,Dwight SS,Kaloper M,Weng S,Jin H,Ball CA,Eisen MB,Spellman PT,Brown PO,Botstein D,Cherry JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.152","created_at":"2021-09-30T08:26:50.008Z","updated_at":"2021-09-30T11:29:34.111Z"}],"licence_links":[{"licence_name":"PUMAdb Privacy Policy","licence_id":690,"licence_url":"https://puma.princeton.edu/privacy.shtml","link_id":1781,"relation":"undefined"}],"grants":[{"id":3475,"fairsharing_record_id":2790,"organisation_id":2357,"relation":"maintains","created_at":"2021-09-30T09:26:17.588Z","updated_at":"2021-09-30T09:26:17.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2357,"name":"Princeton University, NJ, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3476,"fairsharing_record_id":2790,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:17.612Z","updated_at":"2021-09-30T09:31:37.060Z","grant_id":1250,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01 HG002732","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8324,"fairsharing_record_id":2790,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:05.250Z","updated_at":"2021-09-30T09:32:05.292Z","grant_id":1462,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5R01 CA77097","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2791","type":"fairsharing_records","attributes":{"created_at":"2019-07-10T09:48:08.000Z","updated_at":"2023-06-23T09:38:48.200Z","metadata":{"doi":"10.25504/FAIRsharing.S6nB7s","name":"Genome-wide Integrated Analysis of gene Networks in Tissues 2.0","status":"ready","contacts":[{"contact_name":"Olga G Troyanskaya","contact_email":"ogt@genomics.princeton.edu"}],"homepage":"http://giant-v2.princeton.edu/","citations":[{"doi":"10.1093/nar/gky408","pubmed_id":29800226,"publication_id":371}],"identifier":2791,"description":"GIANT2 (Genome-wide Integrated Analysis of gene Networks in Tissues) is an interactive web server that enables biomedical researchers to analyze their proteins and pathways of interest and generate hypotheses in the context of genome-scale functional maps of human tissues. With GIANT2, researchers can explore predicted tissue-specific functional roles of genes and reveal changes in those roles across tissues, all through interactive multi-network visualizations and analyses.","abbreviation":"GIANT 2.0","data_curation":{"url":"https://doi.org/10.1093/nar/gky408","type":"automated"},"support_links":[{"url":"http://giant-v2.princeton.edu/tutorial/","name":"Tutorials","type":"Help documentation"},{"url":"http://giant-v2.princeton.edu/about/","name":"About GIANT 2.0","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"http://giant-v2.princeton.edu/gwas/create_new","name":"NetWAS Analysis"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled","notes":"Data retrieved directly from various primary sources"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001290","bsg-d001290"],"name":"FAIRsharing record for: Genome-wide Integrated Analysis of gene Networks in Tissues 2.0","abbreviation":"GIANT 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.S6nB7s","doi":"10.25504/FAIRsharing.S6nB7s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GIANT2 (Genome-wide Integrated Analysis of gene Networks in Tissues) is an interactive web server that enables biomedical researchers to analyze their proteins and pathways of interest and generate hypotheses in the context of genome-scale functional maps of human tissues. With GIANT2, researchers can explore predicted tissue-specific functional roles of genes and reveal changes in those roles across tissues, all through interactive multi-network visualizations and analyses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12846}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Bioinformatics","Life Science","Data Visualization"],"domains":["Function analysis","Network model","Genome-wide association study","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":371,"pubmed_id":29800226,"title":"GIANT 2.0: genome-scale integrated analysis of gene networks in tissues.","year":2018,"url":"http://doi.org/10.1093/nar/gky408","authors":"Wong AK,Krishnan A,Troyanskaya OG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky408","created_at":"2021-09-30T08:22:59.856Z","updated_at":"2021-09-30T11:28:45.983Z"}],"licence_links":[],"grants":[{"id":3479,"fairsharing_record_id":2791,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.686Z","updated_at":"2021-09-30T09:29:44.538Z","grant_id":381,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI- 0546275","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3477,"fairsharing_record_id":2791,"organisation_id":358,"relation":"funds","created_at":"2021-09-30T09:26:17.636Z","updated_at":"2021-09-30T09:26:17.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":358,"name":"Canadian Institute for Advanced Research (CIFAR), Canada","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3478,"fairsharing_record_id":2791,"organisation_id":2876,"relation":"maintains","created_at":"2021-09-30T09:26:17.662Z","updated_at":"2021-09-30T09:26:17.662Z","grant_id":null,"is_lead":true,"saved_state":{"id":2876,"name":"Troyanskaya Laboratory (Laboratory for Bioinformatics and Functional Genomics), Princeton University, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3480,"fairsharing_record_id":2791,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:17.720Z","updated_at":"2021-09-30T09:32:29.697Z","grant_id":1645,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM071966","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2800","type":"fairsharing_records","attributes":{"created_at":"2019-07-18T22:38:39.000Z","updated_at":"2023-06-23T10:42:59.825Z","metadata":{"doi":"10.25504/FAIRsharing.c44966","name":"Aster Volcanic Archive","status":"ready","contacts":[{"contact_name":"Justin P Linick","contact_email":"Justin.P.Linick@jpl.nasa.gov"}],"homepage":"https://ava.jpl.nasa.gov","citations":[],"identifier":2800,"description":"AVA is a large depository of volcanic data. For 1,549 recently active volcanos listed by the Smithsonian Global Volcanism Program, the AVA has collected the entirety of high-resolution multispectral ASTER data and made it available to the public. Also included are digital elevation maps, NOAA ash advisories, alteration zone imagery, and thermal anomaly reports. LANDSAT7 data are also being processed.","abbreviation":"AVA","data_curation":{"type":"not found"},"support_links":[{"url":"https://ava.jpl.nasa.gov/pages/about/about.html","name":"About","type":"Other"},{"url":"https://twitter.com/NASAJPL","name":"@NASAJPL","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011793","name":"re3data:r3d100011793","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ava.jpl.nasa.gov/pages/about/about.html","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001299","bsg-d001299"],"name":"FAIRsharing record for: Aster Volcanic Archive","abbreviation":"AVA","url":"https://fairsharing.org/10.25504/FAIRsharing.c44966","doi":"10.25504/FAIRsharing.c44966","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AVA is a large depository of volcanic data. For 1,549 recently active volcanos listed by the Smithsonian Global Volcanism Program, the AVA has collected the entirety of high-resolution multispectral ASTER data and made it available to the public. Also included are digital elevation maps, NOAA ash advisories, alteration zone imagery, and thermal anomaly reports. LANDSAT7 data are also being processed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["Costa Rica","Italy","Mexico","Singapore","United States"],"publications":[],"licence_links":[],"grants":[{"id":3495,"fairsharing_record_id":2800,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:26:18.096Z","updated_at":"2021-09-30T09:26:18.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3496,"fairsharing_record_id":2800,"organisation_id":1599,"relation":"maintains","created_at":"2021-09-30T09:26:18.120Z","updated_at":"2021-09-30T09:26:18.120Z","grant_id":null,"is_lead":true,"saved_state":{"id":1599,"name":"Jet Propulsion Laboratory, California Institute of Technology, NASA, Pasadena, CA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2801","type":"fairsharing_records","attributes":{"created_at":"2019-07-19T20:03:12.000Z","updated_at":"2023-12-15T10:32:52.338Z","metadata":{"doi":"10.25504/FAIRsharing.140c57","name":"NOAA's Atlantic Oceanographic and Meterological Laboratory Data","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"aoml.communications@noaa.gov"}],"homepage":"https://www.aoml.noaa.gov/data-products/","citations":[],"identifier":2801,"description":"AOML data on the climate, environment and meteorological patterns and changes.","abbreviation":"AOML Data","data_curation":{"type":"none"},"support_links":[{"url":"https://twitter.com/NOAA_AMOL","name":"Twitter","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010773","name":"re3data:r3d100010773","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001300","bsg-d001300"],"name":"FAIRsharing record for: NOAA's Atlantic Oceanographic and Meterological Laboratory Data","abbreviation":"AOML Data","url":"https://fairsharing.org/10.25504/FAIRsharing.140c57","doi":"10.25504/FAIRsharing.140c57","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AOML data on the climate, environment and meteorological patterns and changes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Earth Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NOAA Disclaimer","licence_id":595,"licence_url":"https://www.noaa.gov/disclaimer","link_id":1786,"relation":"undefined"},{"licence_name":"NOAA Privacy","licence_id":596,"licence_url":"https://www.noaa.gov/protecting-your-privacy","link_id":1785,"relation":"undefined"}],"grants":[{"id":3497,"fairsharing_record_id":2801,"organisation_id":3164,"relation":"funds","created_at":"2021-09-30T09:26:18.146Z","updated_at":"2021-09-30T09:26:18.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":3164,"name":"US Department of Commerce","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3498,"fairsharing_record_id":2801,"organisation_id":2056,"relation":"maintains","created_at":"2021-09-30T09:26:18.170Z","updated_at":"2021-09-30T09:26:18.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2802","type":"fairsharing_records","attributes":{"created_at":"2019-07-21T21:07:28.000Z","updated_at":"2023-12-15T10:32:30.018Z","metadata":{"doi":"10.25504/FAIRsharing.SvsBRM","name":"Let's Get Healthy! STEM Beliefs","status":"ready","contacts":[{"contact_name":"Lisa Marriott","contact_email":"marriott@ohsu.edu","contact_orcid":"0000-0001-6390-3053"}],"homepage":"http://letsgethealthy.org","citations":[{"doi":"10.1371/journal.pone.0201939","pubmed_id":31454349,"publication_id":2527}],"identifier":2802,"description":"Let's Get Healthy! is a NIH-funded program that conducts health fairs. Students' beliefs about their STEM abilities in the context of impulsivity and mindset are described in a three state sample of secondary students across Oregon, Washington, and California.","abbreviation":"LGH STEM","data_curation":{"type":"none"},"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://www.letsgethealthy.org/explore-the-data/data-from-publications/","name":"Statistical modeling documentation 1"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001301","bsg-d001301"],"name":"FAIRsharing record for: Let's Get Healthy! STEM Beliefs","abbreviation":"LGH STEM","url":"https://fairsharing.org/10.25504/FAIRsharing.SvsBRM","doi":"10.25504/FAIRsharing.SvsBRM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Let's Get Healthy! is a NIH-funded program that conducts health fairs. Students' beliefs about their STEM abilities in the context of impulsivity and mindset are described in a three state sample of secondary students across Oregon, Washington, and California.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Nutritional Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Education","Impulsivity","Mindset"],"countries":["United States"],"publications":[{"id":2527,"pubmed_id":31454349,"title":"Opposing effects of impulsivity and mindset on sources of science self-efficacy and STEM interest in adolescents","year":1975,"url":"https://www.ncbi.nlm.nih.gov/pubmed/31454349","authors":"Lisa K. Marriott, Leigh A. Coppola, Suzanne H. Mitchell, Jana L. Bouwma-Gearhart, Zunqiu Chen, Dara Shifrer, Alicia B. Feryn, and Jackilen Shannon","journal":"PLOS One","doi":"10.1371/journal.pone.0201939","created_at":"2021-09-30T08:27:10.019Z","updated_at":"2021-09-30T08:27:10.019Z"},{"id":2782,"pubmed_id":31454349,"title":"Opposing effects of impulsivity and mindset on sources of science selfefficacy and STEM interest in adolescents","year":2018,"url":"https://www.biorxiv.org/content/10.1101/377994v1","authors":"Lisa K. Marriott, Leigh A. Coppola, Suzanne H. Mitchell, Jana L. Bouwma-Gearhart, Zunqiu Chen, Dara Shifrer, and Jackilen Shannon","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:27:41.996Z","updated_at":"2021-09-30T11:28:36.487Z"}],"licence_links":[],"grants":[{"id":3500,"fairsharing_record_id":2802,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:26:18.220Z","updated_at":"2021-09-30T09:26:18.220Z","grant_id":null,"is_lead":true,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3499,"fairsharing_record_id":2802,"organisation_id":2231,"relation":"funds","created_at":"2021-09-30T09:26:18.197Z","updated_at":"2021-09-30T09:31:43.278Z","grant_id":1297,"is_lead":false,"saved_state":{"id":2231,"name":"Office of The Director, National Institutes of Health, USA","grant":"R25OD010496","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2803","type":"fairsharing_records","attributes":{"created_at":"2019-08-19T14:55:27.000Z","updated_at":"2023-12-15T10:28:37.040Z","metadata":{"doi":"10.25504/FAIRsharing.88ea35","name":"Natural History Museum Data Portal","status":"ready","contacts":[{"contact_name":"Ben Scott","contact_email":"b.scott@nhm.ac.uk","contact_orcid":"0000-0002-5590-7174"}],"homepage":"https://data.nhm.ac.uk/","citations":[],"identifier":2803,"description":"The British natural history collection is one of the most important in the world, documenting 4.5 billion years of life, the Earth and the solar system. Almost all animal, plant, mineral and fossil groups are represented. The portal's main dataset consists of specimens from the Museum's collection database, with over 4 million records from the Museum’s Palaeontology, Mineralogy, Botany, Entomology and Zoology collections.","abbreviation":"NHM Data Portal","data_curation":{"type":"not found"},"support_links":[{"url":"https://data.nhm.ac.uk/contact","name":"Contact form","type":"Contact form"},{"url":"data@nhm.ac.uk","name":"Data Portal contact","type":"Support email"},{"url":"https://github.com/NaturalHistoryMuseum/ckanext-nhm","name":"Github of source code","type":"Github"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011675","name":"re3data:r3d100011675","portal":"re3data"}],"data_access_condition":{"url":"https://fairsharing.org/2803","type":"open","notes":"The Museum is committed to open access and open science"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001302","bsg-d001302"],"name":"FAIRsharing record for: Natural History Museum Data Portal","abbreviation":"NHM Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.88ea35","doi":"10.25504/FAIRsharing.88ea35","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The British natural history collection is one of the most important in the world, documenting 4.5 billion years of life, the Earth and the solar system. Almost all animal, plant, mineral and fossil groups are represented. The portal's main dataset consists of specimens from the Museum's collection database, with over 4 million records from the Museum’s Palaeontology, Mineralogy, Botany, Entomology and Zoology collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Geochemistry","Zoology","Paleontology","Entomology","Life Science","Natural History"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2720,"pubmed_id":30985890,"title":"The Natural History Museum Data Portal.","year":2019,"url":"http://doi.org/baz038","authors":"Scott B,Baker E,Woodburn M,Vincent S,Hardy H,Smith VS","journal":"Database (Oxford)","doi":"baz038","created_at":"2021-09-30T08:27:34.062Z","updated_at":"2021-09-30T08:27:34.062Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1787,"relation":"undefined"},{"licence_name":"Natural History Museum Data Portal Terms and conditions","licence_id":551,"licence_url":"https://data.nhm.ac.uk/terms-conditions","link_id":1789,"relation":"undefined"},{"licence_name":"Natural History Museum Privacy notice","licence_id":552,"licence_url":"https://www.nhm.ac.uk/about-us/privacy-notice.html","link_id":1788,"relation":"undefined"}],"grants":[{"id":3501,"fairsharing_record_id":2803,"organisation_id":2093,"relation":"maintains","created_at":"2021-09-30T09:26:18.246Z","updated_at":"2021-09-30T09:26:18.246Z","grant_id":null,"is_lead":true,"saved_state":{"id":2093,"name":"Natural History Museum, London, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2tCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d8419f54732f8b1ec1fb2f9e78d8fda84ede0b4b/nhm.png?disposition=inline","exhaustive_licences":false}},{"id":"2804","type":"fairsharing_records","attributes":{"created_at":"2019-07-22T19:00:22.000Z","updated_at":"2023-12-15T10:32:13.530Z","metadata":{"doi":"10.25504/FAIRsharing.ea287c","name":"Canadian Disaster Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ps.cdd-bdc.sp@ps-sp.gc.ca"}],"homepage":"https://www.publicsafety.gc.ca/cnt/rsrcs/cndn-dsstr-dtbs/index-en.aspx","citations":[],"identifier":2804,"description":"The Canadian Disaster Database (CDD) contains detailed disaster information on more than 1000 natural, technological and conflict events (excluding war) that have happened since 1900 at home or abroad and that have directly affected Canadians. The database describes where and when a disaster occurred, the number of injuries, evacuations, and fatalities, as well as a rough estimate of the costs. As much as possible, the CDD contains primary data that is valid, current and supported by reliable and traceable sources, including federal institutions, provincial/territorial governments, non-governmental organizations and media sources. Data is updated and reviewed on a semi-annual basis.","abbreviation":"CDD","data_curation":{"type":"none"},"year_creation":2003,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012041","name":"re3data:r3d100012041","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001303","bsg-d001303"],"name":"FAIRsharing record for: Canadian Disaster Database","abbreviation":"CDD","url":"https://fairsharing.org/10.25504/FAIRsharing.ea287c","doi":"10.25504/FAIRsharing.ea287c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Canadian Disaster Database (CDD) contains detailed disaster information on more than 1000 natural, technological and conflict events (excluding war) that have happened since 1900 at home or abroad and that have directly affected Canadians. The database describes where and when a disaster occurred, the number of injuries, evacuations, and fatalities, as well as a rough estimate of the costs. As much as possible, the CDD contains primary data that is valid, current and supported by reliable and traceable sources, including federal institutions, provincial/territorial governments, non-governmental organizations and media sources. Data is updated and reviewed on a semi-annual basis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[],"licence_links":[],"grants":[{"id":3502,"fairsharing_record_id":2804,"organisation_id":1191,"relation":"funds","created_at":"2021-09-30T09:26:18.270Z","updated_at":"2021-09-30T09:26:18.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":1191,"name":"Government of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2808","type":"fairsharing_records","attributes":{"created_at":"2019-07-29T21:54:01.000Z","updated_at":"2024-03-25T16:30:48.064Z","metadata":{"doi":"10.25504/FAIRsharing.bece4c","name":"MISTRALS","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"mistrals-database@sedoo.fr"}],"homepage":"https://mistrals.sedoo.fr/","citations":[],"identifier":2808,"description":"PLEASE NOTE: This resource is currently undergoing an upgrade and may not be available. Their site reads: \"A major computer malfunction on December 12, 2023 has forced us to accelerate the implementation of the new MISTRALS portal.\nWe are actively working to restore access to the data. However, PI or data user, you can now ask us any questions you may have via the contact form.\" Description: The MISTRALS database is a collection of information from satellite, geological and modelling data derived from a number of different data sources both within and without the MISTRALS community. The MISTRALS initiative has 6 programmes - BioDivMex, ChArMEx, HyMex, MERMex, PaleoMex, and SICMED. Registration is required.\n","abbreviation":"MISTRALS","data_curation":{"type":"not found"},"support_links":[{"url":"charmex-database@sedoo.fr","name":"ChArMEx Contact","type":"Support email"},{"url":"databasecontact@hymex.org","name":"HyMeX Contact","type":"Support email"}],"year_creation":2010,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011673","name":"re3data:r3d100011673","portal":"re3data"}],"data_access_condition":{"type":"open","notes":"Registration required"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001307","bsg-d001307"],"name":"FAIRsharing record for: MISTRALS","abbreviation":"MISTRALS","url":"https://fairsharing.org/10.25504/FAIRsharing.bece4c","doi":"10.25504/FAIRsharing.bece4c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PLEASE NOTE: This resource is currently undergoing an upgrade and may not be available. Their site reads: \"A major computer malfunction on December 12, 2023 has forced us to accelerate the implementation of the new MISTRALS portal.\nWe are actively working to restore access to the data. However, PI or data user, you can now ask us any questions you may have via the contact form.\" Description: The MISTRALS database is a collection of information from satellite, geological and modelling data derived from a number of different data sources both within and without the MISTRALS community. The MISTRALS initiative has 6 programmes - BioDivMex, ChArMEx, HyMex, MERMex, PaleoMex, and SICMED. Registration is required.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Geophysics","Biodiversity","Earth Science","Bathymetry","Atmospheric Science","Remote Sensing","Oceanography"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Bathymetry","Cryosphere"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":3507,"fairsharing_record_id":2808,"organisation_id":1305,"relation":"maintains","created_at":"2021-09-30T09:26:18.396Z","updated_at":"2021-09-30T09:26:18.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":1305,"name":"ICARE Data and Service Centre","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3508,"fairsharing_record_id":2808,"organisation_id":1455,"relation":"maintains","created_at":"2021-09-30T09:26:18.420Z","updated_at":"2021-09-30T09:26:18.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":1455,"name":"Institut Pierre Simon Laplace (IPSL) France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3509,"fairsharing_record_id":2808,"organisation_id":2216,"relation":"maintains","created_at":"2021-09-30T09:26:18.447Z","updated_at":"2021-09-30T09:26:18.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":2216,"name":"Observatoire Midi-Pyrenees, OMP, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2810","type":"fairsharing_records","attributes":{"created_at":"2019-07-30T19:32:48.000Z","updated_at":"2022-07-20T11:40:18.672Z","metadata":{"name":"Chinese National Arctic and Antarctic Data Center","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"nadc@pric.org.cn"}],"homepage":"https://www.chinare.org.cn/en/","citations":[],"identifier":2810,"description":"The Chinese National Artic and Antarctic Data centre collects, analyses and preserves datasets from the polar environment.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.chinare.org.cn/en/news","name":"News","type":"Blog/News"},{"url":"https://www.chinare.org.cn/en/help/using-help","name":"Help and FAQ","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011380","name":"re3data:r3d100011380","portal":"re3data"}],"deprecation_date":"2022-03-02","deprecation_reason":"The english site is currently unavailable. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001309","bsg-d001309"],"name":"FAIRsharing record for: Chinese National Arctic and Antarctic Data Center","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/2810","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chinese National Artic and Antarctic Data centre collects, analyses and preserves datasets from the polar environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Atmospheric Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Antarctic","Arctic"],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":3511,"fairsharing_record_id":2810,"organisation_id":2340,"relation":"maintains","created_at":"2021-09-30T09:26:18.529Z","updated_at":"2021-09-30T09:26:18.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":2340,"name":"Polar Research Institute of China (PRIC)","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2811","type":"fairsharing_records","attributes":{"created_at":"2019-07-30T20:32:14.000Z","updated_at":"2023-06-23T11:35:21.556Z","metadata":{"doi":"10.25504/FAIRsharing.50d4cd","name":"Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations","status":"ready","contacts":[{"contact_name":"David M Winker","contact_email":"David.M.Winker@nasa.gov","contact_orcid":"0000-0002-3919-2244"}],"homepage":"https://www-calipso.larc.nasa.gov","identifier":2811,"description":"A joint effort between the US and France to collect particulate information (aerosol data) on the atmosphere and their influence on the environment and climate. This information is gathered by the CALIPSO satellite launched in 2006.","abbreviation":"CALIPSO","data_curation":{"type":"not found"},"support_links":[{"url":"https://www-calipso.larc.nasa.gov/resources/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","name":"CALIPSO Data Users Guide","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","associated_tools":[{"url":"https://www-calipso.larc.nasa.gov/tools/read_sw/index.php","name":"IDL Read Package Version 4.90v1"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012490","name":"re3data:r3d100012490","portal":"re3data"}],"data_access_condition":{"url":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/order_data.php","type":"partially open","notes":"Data can be accessed or ordered through different tools."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001310","bsg-d001310"],"name":"FAIRsharing record for: Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations","abbreviation":"CALIPSO","url":"https://fairsharing.org/10.25504/FAIRsharing.50d4cd","doi":"10.25504/FAIRsharing.50d4cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A joint effort between the US and France to collect particulate information (aerosol data) on the atmosphere and their influence on the environment and climate. This information is gathered by the CALIPSO satellite launched in 2006.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Earth Science","Atmospheric Science"],"domains":["Environmental contaminant","Environmental material","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["France","United States"],"publications":[{"id":2733,"pubmed_id":31662738,"title":"CALIPSO (IIR-CALIOP) Retrievals of Cirrus Cloud Ice Particle Concentrations.","year":2018,"url":"http://doi.org/10.5194/acp-18-17325-2018","authors":"Mitchell DL,Garnier A,Pelon J,Erfani E","journal":"Atmos Chem Phys","doi":"10.5194/acp-18-17325-2018","created_at":"2021-09-30T08:27:35.622Z","updated_at":"2021-09-30T08:27:35.622Z"},{"id":2734,"pubmed_id":31921372,"title":"The CALIPSO Version 4 Automated Aerosol Classification and Lidar Ratio Selection Algorithm.","year":2018,"url":"http://doi.org/10.5194/amt-11-6107-2018","authors":"Kim MH,Omar AH,Tackett JL,Vaughan MA,Winker DM,Trepte CR,Hu Y,Liu Z,Poole LR,Pitts MC,Kar J,Magill BE","journal":"Atmos Meas Tech","doi":"10.5194/amt-11-6107-2018","created_at":"2021-09-30T08:27:35.730Z","updated_at":"2021-09-30T08:27:35.730Z"},{"id":2735,"pubmed_id":31832108,"title":"CALIPSO IIR Version 2 Level 1b calibrated radiances: analysis and reduction of residual biases in the Northern Hemisphere.","year":2018,"url":"http://doi.org/10.5194/amt-11-2485-2018","authors":"Garnier A,Tremas T,Pelon J,Lee KP,Nobileau D,Gross-Colzy L,Pascal N,Ferrage P,Scott NA","journal":"Atmos Meas Tech","doi":"10.5194/amt-11-2485-2018","created_at":"2021-09-30T08:27:35.839Z","updated_at":"2021-09-30T08:27:35.839Z"}],"licence_links":[{"licence_name":"NASA Freedom of Information Act (FOIA)","licence_id":534,"licence_url":"https://www.nasa.gov/FOIA/index.html","link_id":1791,"relation":"undefined"},{"licence_name":"NASA No Fear Act","licence_id":537,"licence_url":"https://www.nasa.gov/offices/odeo/no-fear-act","link_id":1792,"relation":"undefined"},{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":1790,"relation":"undefined"}],"grants":[{"id":3513,"fairsharing_record_id":2811,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:26:18.618Z","updated_at":"2021-09-30T09:26:18.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3512,"fairsharing_record_id":2811,"organisation_id":475,"relation":"maintains","created_at":"2021-09-30T09:26:18.577Z","updated_at":"2021-09-30T09:26:18.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":475,"name":"Centre National d'Etudes Spatiales (CNES), Paris, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3514,"fairsharing_record_id":2811,"organisation_id":1455,"relation":"maintains","created_at":"2021-09-30T09:26:18.657Z","updated_at":"2021-09-30T09:26:18.657Z","grant_id":null,"is_lead":false,"saved_state":{"id":1455,"name":"Institut Pierre Simon Laplace (IPSL) France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2783","type":"fairsharing_records","attributes":{"created_at":"2019-05-29T17:01:36.000Z","updated_at":"2024-05-31T11:18:12.960Z","metadata":{"doi":"10.25504/FAIRsharing.nYaZ1N","name":"nmrshiftdb2","status":"ready","contacts":[{"contact_name":"Stefan Kuhn","contact_email":"stefan.kuhn@dmu.ac.uk","contact_orcid":"0000-0002-5990-4157"}],"homepage":"https://nmrshiftdb.nmr.uni-koeln.de/","citations":[{"doi":"10.1002/mrc.5418","pubmed_id":null,"publication_id":4283}],"identifier":2783,"description":"nmrshiftdb2 is an NMR database for organic structures and their nuclear magnetic resonance (NMR) spectra. It allows for spectrum prediction (13C, 1H and other nuclei) as well as for searching spectra, structures and other properties. It also features peer-reviewed submission of datasets by its users. The nmrshiftdb2 software is open source, the data is published under an open content license.","abbreviation":"nmrshiftdb2","data_curation":{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Help;jsessionid=20E1A6CFE523B177D24FEB6C0FA76344","type":"manual"},"support_links":[{"url":"nmrshiftdb2-admin@uni-koeln.de","name":"nmrshiftdb2 support","type":"Support email"},{"url":"https://nmrshiftdb.nmr.uni-koeln.de/portal/media-type/html/user/anon/page/default.psml/template/ShowWebpage","name":"nmrshiftdb2 FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Help","name":"Help Pages","type":"Help documentation"},{"url":"http://sourceforge.net/p/nmrshiftdb2/wiki/Main_Page/","name":"nmrshiftdb2 Wiki","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Quickcheck","name":"Quick Check"},{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Predict","name":"Predict an NMR Spectrum"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010316","name":"re3data:r3d100010316","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Submit;jsessionid=20E1A6CFE523B177D24FEB6C0FA76344","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001282","bsg-d001282"],"name":"FAIRsharing record for: nmrshiftdb2","abbreviation":"nmrshiftdb2","url":"https://fairsharing.org/10.25504/FAIRsharing.nYaZ1N","doi":"10.25504/FAIRsharing.nYaZ1N","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: nmrshiftdb2 is an NMR database for organic structures and their nuclear magnetic resonance (NMR) spectra. It allows for spectrum prediction (13C, 1H and other nuclei) as well as for searching spectra, structures and other properties. It also features peer-reviewed submission of datasets by its users. The nmrshiftdb2 software is open source, the data is published under an open content license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Analytical Chemistry"],"domains":["Nuclear Magnetic Resonance (NMR) spectroscopy","Small molecule"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","United Kingdom"],"publications":[{"id":1674,"pubmed_id":14632418,"title":"NMRShiftDB-constructing a free chemical information system with open-source components.","year":2003,"url":"http://doi.org/10.1021/ci0341363","authors":"Steinbeck C,Krause S,Kuhn S","journal":"J Chem Inf Comput Sci","doi":"10.1021/ci0341363","created_at":"2021-09-30T08:25:27.546Z","updated_at":"2021-09-30T08:25:27.546Z"},{"id":2187,"pubmed_id":25998807,"title":"Facilitating quality control for spectra assignments of small organic molecules: nmrshiftdb2--a free in-house NMR database with integrated LIMS for academic service laboratories.","year":2015,"url":"http://doi.org/10.1002/mrc.4263","authors":"Kuhn S,Schlorer NE","journal":"Magn Reson Chem","doi":"10.1002/mrc.4263","created_at":"2021-09-30T08:26:26.573Z","updated_at":"2021-09-30T08:26:26.573Z"},{"id":2319,"pubmed_id":15464159,"title":"NMRShiftDB -- compound identification and structure elucidation support through a free community-built web database.","year":2004,"url":"http://doi.org/10.1016/j.phytochem.2004.08.027","authors":"Steinbeck C,Kuhn S","journal":"Phytochemistry","doi":"10.1016/j.phytochem.2004.08.027","created_at":"2021-09-30T08:26:44.558Z","updated_at":"2021-09-30T08:26:44.558Z"},{"id":4283,"pubmed_id":null,"title":"Twenty years of nmrshiftdb2: A case study of an open database for analytical chemistry","year":2023,"url":"http://dx.doi.org/10.1002/mrc.5418","authors":"Kuhn, Stefan; Kolshorn, Heinz; Steinbeck, Christoph; Schlörer, Nils; ","journal":"Magnetic Reson in Chemistry","doi":"10.1002/mrc.5418","created_at":"2024-05-29T13:29:25.157Z","updated_at":"2024-05-29T13:29:25.157Z"}],"licence_links":[{"licence_name":"nmrshiftdb2 data license","licence_id":594,"licence_url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdbhtml/nmrshiftdb2datalicense.txt","link_id":480,"relation":"undefined"}],"grants":[{"id":3453,"fairsharing_record_id":2783,"organisation_id":3043,"relation":"maintains","created_at":"2021-09-30T09:26:16.990Z","updated_at":"2021-09-30T09:26:16.990Z","grant_id":null,"is_lead":true,"saved_state":{"id":3043,"name":"University of Cologne, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3454,"fairsharing_record_id":2783,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:17.022Z","updated_at":"2021-09-30T09:29:48.837Z","grant_id":416,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"LI 2858/11","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2784","type":"fairsharing_records","attributes":{"created_at":"2019-06-15T15:35:14.000Z","updated_at":"2024-03-27T22:25:59.237Z","metadata":{"doi":"10.25504/FAIRsharing.7CVoS6","name":"SynBioHub","status":"ready","contacts":[{"contact_name":"Chris Myers","contact_email":"myers@ece.utah.edu","contact_orcid":"0000-0002-8762-8444"}],"homepage":"https://synbiohub.org","citations":[{"doi":"10.1021/acssynbio.7b00403","pubmed_id":29316788,"publication_id":1184}],"identifier":2784,"description":"SynBioHub is a design repository for people designing biological constructs. It enables DNA and protein designs to be uploaded, then provides a shareable link to allow others to view them. SynBioHub also facilitates searching for information about existing useful parts and designs by combining data from a variety of sources.","abbreviation":"SBH","data_curation":{"type":"not found"},"support_links":[{"url":"https://groups.google.com/forum/#!forum/synbiohub-users","name":"SynBioHub Users Forum","type":"Forum"},{"url":"https://wiki.synbiohub.org/aboutsynbiohub/","name":"About SynBioHub","type":"Help documentation"},{"url":"https://wiki.synbiohub.org/","name":"Wiki Pages","type":"Help documentation"},{"url":"https://github.com/SynBioHub/synbiohub","name":"GitHub repository","type":"Github"}],"year_creation":2017,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://synbiohub.org/login?next=%2Fsubmit","type":"open","notes":"Free account required to submit data."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001283","bsg-d001283"],"name":"FAIRsharing record for: SynBioHub","abbreviation":"SBH","url":"https://fairsharing.org/10.25504/FAIRsharing.7CVoS6","doi":"10.25504/FAIRsharing.7CVoS6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SynBioHub is a design repository for people designing biological constructs. It enables DNA and protein designs to be uploaded, then provides a shareable link to allow others to view them. SynBioHub also facilitates searching for information about existing useful parts and designs by combining data from a variety of sources.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11558},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12261}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioengineering","Synthetic Biology"],"domains":["Deoxyribonucleic acid","Protein"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1184,"pubmed_id":29316788,"title":"SynBioHub: A Standards-Enabled Design Repository for Synthetic Biology.","year":2018,"url":"http://doi.org/10.1021/acssynbio.7b00403","authors":"McLaughlin JA,Myers CJ,Zundel Z,Misirli G,Zhang M,Ofiteru ID,Goni-Moreno A,Wipat A","journal":"ACS Synth Biol","doi":"10.1021/acssynbio.7b00403","created_at":"2021-09-30T08:24:31.616Z","updated_at":"2021-09-30T08:24:31.616Z"}],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":2414,"relation":"undefined"}],"grants":[{"id":3456,"fairsharing_record_id":2784,"organisation_id":3144,"relation":"maintains","created_at":"2021-09-30T09:26:17.088Z","updated_at":"2024-03-27T22:15:56.006Z","grant_id":null,"is_lead":true,"saved_state":{"id":3144,"name":"University of Utah, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3457,"fairsharing_record_id":2784,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:26:17.121Z","updated_at":"2021-09-30T09:26:17.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3458,"fairsharing_record_id":2784,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.145Z","updated_at":"2021-09-30T09:26:17.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3455,"fairsharing_record_id":2784,"organisation_id":2145,"relation":"maintains","created_at":"2021-09-30T09:26:17.055Z","updated_at":"2024-03-27T22:15:56.006Z","grant_id":null,"is_lead":true,"saved_state":{"id":2145,"name":"Newcastle University, Newcastle upon Tyne, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZnc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4956b6d1f00326e1fdfc61f84b877a7cd316da7a/synbiohub.png?disposition=inline","exhaustive_licences":false}},{"id":"2785","type":"fairsharing_records","attributes":{"created_at":"2019-06-25T09:37:44.000Z","updated_at":"2023-12-15T10:30:11.869Z","metadata":{"doi":"10.25504/FAIRsharing.QrPuK3","name":"International Ocean Discovery Program Publications Registry","status":"ready","contacts":[{"contact_name":"Lorri Peters","contact_email":"information@iodp.tamu.edu","contact_orcid":"0000-0003-4951-0223"}],"homepage":"http://publications.iodp.org/","citations":[],"identifier":2785,"description":"IODP Publications stores the scientific report and publication series that summarizes the scientific and technical accomplishments of each IODP expedition. These publications are linked to IODP data repositories.","abbreviation":"IODP Publications","data_curation":{"url":"http://publications.iodp.org/policies.html#author","type":"manual"},"support_links":[{"url":"http://www.iodp.org/resources/about-publications","name":"About IODP Publications","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://publications.iodp.org/policies.html#author","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001284","bsg-d001284"],"name":"FAIRsharing record for: International Ocean Discovery Program Publications Registry","abbreviation":"IODP Publications","url":"https://fairsharing.org/10.25504/FAIRsharing.QrPuK3","doi":"10.25504/FAIRsharing.QrPuK3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IODP Publications stores the scientific report and publication series that summarizes the scientific and technical accomplishments of each IODP expedition. These publications are linked to IODP data repositories.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Geophysics","Earth Science"],"domains":["Marine environment","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"IODP Publication Policies","licence_id":447,"licence_url":"http://publications.iodp.org/policies.html","link_id":127,"relation":"undefined"}],"grants":[{"id":3459,"fairsharing_record_id":2785,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.175Z","updated_at":"2021-09-30T09:26:17.175Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3460,"fairsharing_record_id":2785,"organisation_id":2733,"relation":"maintains","created_at":"2021-09-30T09:26:17.204Z","updated_at":"2021-09-30T09:26:17.204Z","grant_id":null,"is_lead":true,"saved_state":{"id":2733,"name":"Texas A\u0026M University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3461,"fairsharing_record_id":2785,"organisation_id":1505,"relation":"funds","created_at":"2021-09-30T09:26:17.229Z","updated_at":"2021-09-30T09:26:17.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":1505,"name":"International Ocean Discovery Program (IODP), San Diego, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2786","type":"fairsharing_records","attributes":{"created_at":"2019-06-25T09:43:53.000Z","updated_at":"2023-06-23T16:12:28.742Z","metadata":{"doi":"10.25504/FAIRsharing.1jihTO","name":"International Ocean Discovery Program Janus Web Database","status":"ready","contacts":[{"contact_name":"Lorri Peters","contact_email":"information@iodp.tamu.edu","contact_orcid":"0000-0003-4951-0223"}],"homepage":"http://www-odp.tamu.edu/database/","identifier":2786,"description":"The Janus database contains data from DSDP, ODP, and Phase I of the Integrated Ocean Drilling Program. This includes data gathered between 1968 and 2008 as a result of Deep Sea Drilling Project (DSDP; 1968–1984) Legs 1–96, Ocean Drilling Program (ODP; 1985–2003) Legs 101–210, and IODP-I Expeditions 301–312.","abbreviation":"Janus","data_curation":{"url":"http://www-odp.tamu.edu/sciops/","type":"not found"},"year_creation":1968,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001285","bsg-d001285"],"name":"FAIRsharing record for: International Ocean Discovery Program Janus Web Database","abbreviation":"Janus","url":"https://fairsharing.org/10.25504/FAIRsharing.1jihTO","doi":"10.25504/FAIRsharing.1jihTO","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Janus database contains data from DSDP, ODP, and Phase I of the Integrated Ocean Drilling Program. This includes data gathered between 1968 and 2008 as a result of Deep Sea Drilling Project (DSDP; 1968–1984) Legs 1–96, Ocean Drilling Program (ODP; 1985–2003) Legs 101–210, and IODP-I Expeditions 301–312.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Geology","Geophysics","Earth Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3462,"fairsharing_record_id":2786,"organisation_id":2071,"relation":"maintains","created_at":"2021-09-30T09:26:17.253Z","updated_at":"2021-09-30T09:26:17.253Z","grant_id":null,"is_lead":true,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3463,"fairsharing_record_id":2786,"organisation_id":2733,"relation":"maintains","created_at":"2021-09-30T09:26:17.278Z","updated_at":"2021-09-30T09:26:17.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":2733,"name":"Texas A\u0026M University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3464,"fairsharing_record_id":2786,"organisation_id":1505,"relation":"funds","created_at":"2021-09-30T09:26:17.304Z","updated_at":"2021-09-30T09:26:17.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":1505,"name":"International Ocean Discovery Program (IODP), San Diego, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2787","type":"fairsharing_records","attributes":{"created_at":"2019-06-25T10:37:14.000Z","updated_at":"2021-11-24T13:16:40.154Z","metadata":{"doi":"10.25504/FAIRsharing.7HtoZI","name":"NERC Earth Observation Data Centre Data Archive","status":"deprecated","homepage":"https://catalogue.ceda.ac.uk/record/party/2/","identifier":2787,"description":"The NERC Earth Observation Data Centre Data Archive was the Natural Environment Research Council's (NERC) Designated Data Centre for Earth Observation. Together with the BADC it has been merged into the CEDA Archive.","abbreviation":"NEODC","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2019-06-25","deprecation_reason":"Since November 2016, the functions of the British Atmospheric Data Centre (BADC) and the NERC Earth Observation Data Centre (NEODC) data centres are operated by the CEDA Archive (http://www.ceda.ac.uk/data-centres/).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001286","bsg-d001286"],"name":"FAIRsharing record for: NERC Earth Observation Data Centre Data Archive","abbreviation":"NEODC","url":"https://fairsharing.org/10.25504/FAIRsharing.7HtoZI","doi":"10.25504/FAIRsharing.7HtoZI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NERC Earth Observation Data Centre Data Archive was the Natural Environment Research Council's (NERC) Designated Data Centre for Earth Observation. Together with the BADC it has been merged into the CEDA Archive.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":3465,"fairsharing_record_id":2787,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:26:17.329Z","updated_at":"2021-09-30T09:26:17.329Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3466,"fairsharing_record_id":2787,"organisation_id":2519,"relation":"maintains","created_at":"2021-09-30T09:26:17.353Z","updated_at":"2021-09-30T09:26:17.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2795","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T11:32:42.000Z","updated_at":"2023-12-15T10:32:00.282Z","metadata":{"doi":"10.25504/FAIRsharing.lFdTxB","name":"Disbiome","status":"ready","contacts":[{"contact_name":"Bart de Spiegeleer","contact_email":"bart.despiegeleer@UGent.be","contact_orcid":"0000-0001-6794-3108"}],"homepage":"https://disbiome.ugent.be","citations":[{"doi":"10.1186/s12866-018-1197-5","pubmed_id":29866037,"publication_id":2548}],"identifier":2795,"description":"Disbiome is a database covering microbial composition changes in different kinds of diseases. Disease names, detection methods or organism names can be used as search queries giving that return information related to the experiment (related disease/bacteria, abundancy subject/control, control type, detection method and related literature).","abbreviation":"Disbiome","data_curation":{"type":"manual"},"support_links":[{"url":"https://disbiome.ugent.be/news","name":"News","type":"Blog/News"},{"url":"https://disbiome.ugent.be/help","name":"Help Pages","type":"Help documentation"},{"url":"https://disbiome.ugent.be/statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://disbiome.ugent.be/home","type":"open","notes":"Publications and/or relevant data can be included in the database throught a pre-formatted email."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001294","bsg-d001294"],"name":"FAIRsharing record for: Disbiome","abbreviation":"Disbiome","url":"https://fairsharing.org/10.25504/FAIRsharing.lFdTxB","doi":"10.25504/FAIRsharing.lFdTxB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Disbiome is a database covering microbial composition changes in different kinds of diseases. Disease names, detection methods or organism names can be used as search queries giving that return information related to the experiment (related disease/bacteria, abundancy subject/control, control type, detection method and related literature).","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12262}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Microbiology"],"domains":["Parkinson's disease","Liver disease","Kidney disease","Disease","Liver","Diabetes mellitus","Microbiome"],"taxonomies":["Bifidobacterium","Blautia","Faecalibacterium prausnitzii","Fusobacteria","Lachnospiraceae","Lactobacillus","Neisseria","Parabacteroides","Prevotella","Roseburia"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":2548,"pubmed_id":29866037,"title":"Disbiome database: linking the microbiome to disease.","year":2018,"url":"http://doi.org/10.1186/s12866-018-1197-5","authors":"Janssens Y,Nielandt J,Bronselaer A,Debunne N,Verbeke F,Wynendaele E,Van Immerseel F,Vandewynckel YP,De Tre G,De Spiegeleer B","journal":"BMC Microbiol","doi":"10.1186/s12866-018-1197-5","created_at":"2021-09-30T08:27:12.469Z","updated_at":"2021-09-30T08:27:12.469Z"},{"id":3345,"pubmed_id":null,"title":"Disbiome: A Database Describing Microbiome Alterations in Different Disease States","year":2019,"url":"http://dx.doi.org/10.1016/B978-0-12-801238-3.11526-0","authors":"Janssens, Yorick; Bronselaer, Antoon; Wynendaele, Evelien; De Tré, Guy; De Spiegeleer, Bart; ","journal":"Systems Medicine","doi":"10.1016/b978-0-12-801238-3.11526-0","created_at":"2022-05-04T14:22:13.822Z","updated_at":"2022-05-04T14:22:13.822Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2674,"relation":"applies_to_content"}],"grants":[{"id":3485,"fairsharing_record_id":2795,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:26:17.846Z","updated_at":"2021-09-30T09:26:17.846Z","grant_id":null,"is_lead":true,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9333,"fairsharing_record_id":2795,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:31.030Z","updated_at":"2022-04-11T12:07:31.056Z","grant_id":1009,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"1S21017N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2796","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T11:53:09.000Z","updated_at":"2023-06-23T10:19:57.550Z","metadata":{"doi":"10.25504/FAIRsharing.zZHCUQ","name":"Unimod","status":"ready","contacts":[{"contact_name":"John S. Cottrell","contact_email":"jcottrell@matrixscience.com"}],"homepage":"http://www.unimod.org","citations":[{"doi":"10.1002/pmic.200300744","pubmed_id":15174123,"publication_id":809}],"identifier":2796,"description":"Unimod is a community-supported, comprehensive database of protein modifications for mass spectrometry applications. The aim is to provide accurate and verifiable values, derived from elemental compositions, for the mass differences introduced by all types of natural and artificial modifications. Other important information includes any mass change, (neutral loss), that occurs during MS/MS analysis, and site specificity, (which residues are susceptible to modification and any constraints on the position of the modification within the protein or peptide).","abbreviation":"Unimod","data_curation":{"url":"http://www.unimod.org/curating.html","type":"manual/automated","notes":"User who creates a new modification record becomes the curator of that record. A record can only be modified by its curator or an administrator. To add a record, you must register and log in. The process is fully automatic."},"support_links":[{"url":"http://www.unimod.org/unimod_help.html","name":"Unimod Help","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"url":"http://www.unimod.org/unimod_help.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.unimod.org/curating.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001295","bsg-d001295"],"name":"FAIRsharing record for: Unimod","abbreviation":"Unimod","url":"https://fairsharing.org/10.25504/FAIRsharing.zZHCUQ","doi":"10.25504/FAIRsharing.zZHCUQ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Unimod is a community-supported, comprehensive database of protein modifications for mass spectrometry applications. The aim is to provide accurate and verifiable values, derived from elemental compositions, for the mass differences introduced by all types of natural and artificial modifications. Other important information includes any mass change, (neutral loss), that occurs during MS/MS analysis, and site specificity, (which residues are susceptible to modification and any constraints on the position of the modification within the protein or peptide).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics"],"domains":["Mass spectrum","Protein modification","Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States"],"publications":[{"id":809,"pubmed_id":15174123,"title":"Unimod: Protein modifications for mass spectrometry.","year":2004,"url":"http://doi.org/10.1002/pmic.200300744","authors":"Creasy DM,Cottrell JS","journal":"Proteomics","doi":"10.1002/pmic.200300744","created_at":"2021-09-30T08:23:49.262Z","updated_at":"2021-09-30T08:23:49.262Z"}],"licence_links":[{"licence_name":"Design Science License (DSL)","licence_id":236,"licence_url":"https://www.gnu.org/licenses/dsl.html","link_id":2318,"relation":"undefined"},{"licence_name":"Unimod Copyleft","licence_id":820,"licence_url":"http://www.unimod.org/login.php?message=expired","link_id":2325,"relation":"undefined"}],"grants":[{"id":3487,"fairsharing_record_id":2796,"organisation_id":1774,"relation":"maintains","created_at":"2021-09-30T09:26:17.896Z","updated_at":"2021-09-30T09:26:17.896Z","grant_id":null,"is_lead":true,"saved_state":{"id":1774,"name":"Matrix Science, London, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2797","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T22:22:51.000Z","updated_at":"2023-12-15T10:32:47.323Z","metadata":{"doi":"10.25504/FAIRsharing.00dfd8","name":"Advanced Spaceborne Thermal Emission and Reflection Radiometer","status":"ready","contacts":[{"contact_name":"Yasushi Yamaguchi","contact_email":"yasushi@nagoya-u.jp","contact_orcid":"0000-0002-2554-1060"}],"homepage":"https://asterweb.jpl.nasa.gov","identifier":2797,"description":"ASTER Data is generated as a result of the collaboration between US and Japan space program where thermal and sensing imaging technology used to create detailed maps of land surface temperature, reflectance, and elevation. Scientist can freely use this information to inform geological research or the Earth.","abbreviation":"ASTER Data","data_curation":{"type":"not found"},"support_links":[{"url":"https://asterweb.jpl.nasa.gov/latest.asp","name":"News","type":"Blog/News"},{"url":"https://science.jpl.nasa.gov/index.cfm?FuseAction=ShowFeedback\u0026PersonID=236","name":"contact","type":"Contact form"},{"url":"https://asterweb.jpl.nasa.gov/biblio.asp","name":"Bibliography","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011708","name":"re3data:r3d100011708","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010478","name":"SciCrunch:RRID:SCR_010478","portal":"SciCrunch"}],"data_access_condition":{"url":"https://asterweb.jpl.nasa.gov/obtaining_data.asp","type":"open","notes":"ASTER is an on-demand instrument: data is only acquired over a location if a request has been submitted to observe that area. Any data that ASTER has already acquired are available."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001296","bsg-d001296"],"name":"FAIRsharing record for: Advanced Spaceborne Thermal Emission and Reflection Radiometer","abbreviation":"ASTER Data","url":"https://fairsharing.org/10.25504/FAIRsharing.00dfd8","doi":"10.25504/FAIRsharing.00dfd8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ASTER Data is generated as a result of the collaboration between US and Japan space program where thermal and sensing imaging technology used to create detailed maps of land surface temperature, reflectance, and elevation. Scientist can freely use this information to inform geological research or the Earth.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Earth Science","Hydrology"],"domains":["Climate","Imaging"],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation","Natural Resources, Earth and Environment","Satellite Data"],"countries":["Japan","United States"],"publications":[],"licence_links":[],"grants":[{"id":3488,"fairsharing_record_id":2797,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:26:17.920Z","updated_at":"2021-09-30T09:26:17.920Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3489,"fairsharing_record_id":2797,"organisation_id":1859,"relation":"maintains","created_at":"2021-09-30T09:26:17.946Z","updated_at":"2021-09-30T09:26:17.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":1859,"name":"Ministry of Economy Trade and Industry (METI), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2775","type":"fairsharing_records","attributes":{"created_at":"2019-05-13T13:42:34.000Z","updated_at":"2023-06-22T17:12:37.847Z","metadata":{"doi":"10.25504/FAIRsharing.sFzdV7","name":"Protein Data Bank in Europe - Knowledge Base","status":"ready","contacts":[{"contact_name":"Mihaly Varadi","contact_email":"mvaradi@ebi.ac.uk"}],"homepage":"http://pdbe-kb.org","citations":[{"doi":"10.1093/nar/gkz853","pubmed_id":31584092,"publication_id":1453}],"identifier":2775,"description":"PDBe-KB (Protein Data Bank in Europe - Knowledge Base) is a community-driven resource managed by the PDBe team, collating functional annotations and predictions for structure data in the PDB archive. PDBe-KB is a collaborative effort between PDBe and a diverse group of bioinformatics resources and research teams. The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research.","abbreviation":"PDBe-KB","data_curation":{"type":"not found"},"support_links":[{"url":"pdbehelp@ebi.ac.uk","name":"PDBe Helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/news","name":"News","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/guidelines","name":"Collaboration Guidelines","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/partners","name":"Collaborators","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/","name":"@PDBeurope","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/join","type":"controlled","notes":"Open to members of the PDBe-KB consortium"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001274","bsg-d001274"],"name":"FAIRsharing record for: Protein Data Bank in Europe - Knowledge Base","abbreviation":"PDBe-KB","url":"https://fairsharing.org/10.25504/FAIRsharing.sFzdV7","doi":"10.25504/FAIRsharing.sFzdV7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBe-KB (Protein Data Bank in Europe - Knowledge Base) is a community-driven resource managed by the PDBe team, collating functional annotations and predictions for structure data in the PDB archive. PDBe-KB is a collaborative effort between PDBe and a diverse group of bioinformatics resources and research teams. The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12841}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Bioinformatics","Structural Biology"],"domains":["Protein structure","Protein folding","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1178,"pubmed_id":30445541,"title":"SIFTS: updated Structure Integration with Function, Taxonomy and Sequences resource allows 40-fold increase in coverage of structure-based annotations for proteins.","year":2018,"url":"http://doi.org/10.1093/nar/gky1114","authors":"Dana JM,Gutmanas A,Tyagi N,Qi G,O'Donovan C,Martin M,Velankar S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1114","created_at":"2021-09-30T08:24:30.972Z","updated_at":"2021-09-30T11:29:02.267Z"},{"id":1453,"pubmed_id":31584092,"title":"PDBe-KB: a community-driven resource for structural and functional annotations.","year":2019,"url":"http://doi.org/10.1093/nar/gkz853","authors":"PDBe-KB consortium ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz853","created_at":"2021-09-30T08:25:02.392Z","updated_at":"2021-09-30T11:29:51.378Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":299,"relation":"undefined"}],"grants":[{"id":3436,"fairsharing_record_id":2775,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:16.502Z","updated_at":"2021-09-30T09:26:16.502Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2777","type":"fairsharing_records","attributes":{"created_at":"2019-06-12T14:06:28.000Z","updated_at":"2023-12-15T10:32:33.052Z","metadata":{"doi":"10.25504/FAIRsharing.PeLjos","name":"iGEM Registry of Standard Biological Parts","status":"ready","contacts":[{"contact_name":"Vinoo Selvarajhah","contact_email":"vinoo@igem.org"}],"homepage":"http://parts.igem.org","identifier":2777,"description":"The iGEM Parts Registry is a growing collection of genetic parts that can be mixed and matched to build synthetic biology devices and systems. As part of the synthetic biology community's efforts to make biology easier to engineer, it provides a source of genetic parts to iGEM teams and academic labs. You can learn more about iGEM Teams and Labs at iGEM.org.","abbreviation":"iGEM","data_curation":{"url":"http://parts.igem.org/Collections#How_are_these_collections_curated.3F","type":"manual"},"support_links":[{"url":"http://parts.igem.org/Help:Contents","name":"Help Pages","type":"Help documentation"},{"url":"http://parts.igem.org/Videos","name":"iGEM Videos","type":"Training documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://parts.igem.org/cgi/sequencing/index.cgi","name":"Sequence Analysis"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://parts.igem.org/Add_a_Part_to_the_Registry","type":"controlled","notes":"Members of iGEM teams and labs can submit data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001276","bsg-d001276"],"name":"FAIRsharing record for: iGEM Registry of Standard Biological Parts","abbreviation":"iGEM","url":"https://fairsharing.org/10.25504/FAIRsharing.PeLjos","doi":"10.25504/FAIRsharing.PeLjos","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The iGEM Parts Registry is a growing collection of genetic parts that can be mixed and matched to build synthetic biology devices and systems. As part of the synthetic biology community's efforts to make biology easier to engineer, it provides a source of genetic parts to iGEM teams and academic labs. You can learn more about iGEM Teams and Labs at iGEM.org.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Bioengineering"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3440,"fairsharing_record_id":2777,"organisation_id":1312,"relation":"maintains","created_at":"2021-09-30T09:26:16.602Z","updated_at":"2021-09-30T09:26:16.602Z","grant_id":null,"is_lead":true,"saved_state":{"id":1312,"name":"iGEM Foundation","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2779","type":"fairsharing_records","attributes":{"created_at":"2019-06-12T19:19:19.000Z","updated_at":"2023-12-15T10:32:56.558Z","metadata":{"doi":"10.25504/FAIRsharing.lKaOme","name":"BioGRID Open Repository of CRISPR Screens","status":"ready","contacts":[{"contact_name":"Rose Oughtred","contact_email":"biogridadmin@gmail.com","contact_orcid":"0000-0002-6475-3373"}],"homepage":"https://orcs.thebiogrid.org/","citations":[{"doi":"10.1093/nar/gky1079","pubmed_id":30476227,"publication_id":2522}],"identifier":2779,"description":"BioGRID ORCS is an open repository of CRISPR screens compiled through comprehensive curation efforts. Our current index is version 1.0.3 and searches more than 49 publications and 58,161 genes to return more than 895 CRISPR screens from 3 major model organism species and 629 cell lines. All screen data are freely provided through our search index and available via download in a wide variety of standardized formats.","abbreviation":"ORCS","data_curation":{"url":"https://wiki.thebiogrid.org/doku.php/orcs:curation_description","type":"manual/automated"},"support_links":[{"url":"https://wiki.thebiogrid.org/doku.php/ORCS","name":"Help and Support","type":"Help documentation"},{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:statistics","name":"Statistics","type":"Help documentation"},{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:aboutus","name":"About BioGRID ORCS","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","associated_tools":[{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:tools","name":"Tool Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013160","name":"re3data:r3d100013160","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:contribute","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001278","bsg-d001278"],"name":"FAIRsharing record for: BioGRID Open Repository of CRISPR Screens","abbreviation":"ORCS","url":"https://fairsharing.org/10.25504/FAIRsharing.lKaOme","doi":"10.25504/FAIRsharing.lKaOme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioGRID ORCS is an open repository of CRISPR screens compiled through comprehensive curation efforts. Our current index is version 1.0.3 and searches more than 49 publications and 58,161 genes to return more than 895 CRISPR screens from 3 major model organism species and 629 cell lines. All screen data are freely provided through our search index and available via download in a wide variety of standardized formats.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Quantitative Genetics","Life Science","Database Management","Biology"],"domains":["Cell line","Gene knockout","High Throughput Screening","Phenotype","Gene","CRISPR"],"taxonomies":["Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":2522,"pubmed_id":30476227,"title":"The BioGRID interaction database: 2019 update","year":2018,"url":"http://doi.org/10.1093/nar/gky1079","authors":"Oughtred R, Stark C, Breitkreutz BJ, Rust J, Boucher L, Chang C, Kolas N, O'Donnell L, Leung G, McAdam R, Zhang F, Dolma S, Willems A, Coulombe-Huntington J, Chatr-Aryamontri A, Dolinski K, Tyers M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1079","created_at":"2021-09-30T08:27:09.407Z","updated_at":"2021-09-30T11:29:38.670Z"}],"licence_links":[],"grants":[{"id":3443,"fairsharing_record_id":2779,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:16.679Z","updated_at":"2021-09-30T09:26:16.679Z","grant_id":null,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3442,"fairsharing_record_id":2779,"organisation_id":2038,"relation":"funds","created_at":"2021-09-30T09:26:16.652Z","updated_at":"2021-09-30T09:31:53.160Z","grant_id":1371,"is_lead":false,"saved_state":{"id":2038,"name":"National Institutes of Health Office of Research Infrastructure Programs","grant":"R01OD010929","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2781","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T23:43:19.000Z","updated_at":"2023-04-20T09:44:22.005Z","metadata":{"doi":"10.25504/FAIRsharing.U9GXhB","name":"National Coronial Information System","status":"deprecated","contacts":[{"contact_name":"NCIS","contact_email":"ncis@ncis.org.au","contact_orcid":null}],"homepage":"https://www.ncis.org.au/","citations":[],"identifier":2781,"description":"The National Coronial Information System (NCIS) is a secure database of information on deaths reported to a coroner in Australia and New Zealand. The NCIS contains data on almost 500,000 cases, investigated by a coroner. Data includes demographic information on the deceased, contextual details on the nature of the fatality and searchable medico-legal case reports including the coronial finding, autopsy and toxicology report and police notification of death. The database is available to coroners to assist investigations and access is available on application (subject to ethics approval processes) for research projects.","abbreviation":"NCIS","data_curation":{},"support_links":[{"url":"ncis@ncis.org.au","type":"Support email"}],"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012912","name":"re3data:r3d100012912","portal":"re3data"}],"deprecation_date":"2023-03-21","deprecation_reason":"Geo-blocking has been applied to this resource and it can only be accessed by users in Australia and New Zealand. As this resource is no longer available for FAIRsharing to review, we have deprecated the record, but keep it accessible within the registry to provide our user community with the information regarding its life cycle status.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001280","bsg-d001280"],"name":"FAIRsharing record for: National Coronial Information System","abbreviation":"NCIS","url":"https://fairsharing.org/10.25504/FAIRsharing.U9GXhB","doi":"10.25504/FAIRsharing.U9GXhB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Coronial Information System (NCIS) is a secure database of information on deaths reported to a coroner in Australia and New Zealand. The NCIS contains data on almost 500,000 cases, investigated by a coroner. Data includes demographic information on the deceased, contextual details on the nature of the fatality and searchable medico-legal case reports including the coronial finding, autopsy and toxicology report and police notification of death. The database is available to coroners to assist investigations and access is available on application (subject to ethics approval processes) for research projects.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12843}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Public Health","Epidemiology"],"domains":["Resource collection"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1984,"pubmed_id":31240008,"title":"National Coronial Information System: Epidemiology and the Coroner in Australia","year":2017,"url":"http://doi.org/10.23907/2017.049","authors":"Eva Saar, Lyndal Bugeja, David L. Ranson","journal":"Academic Forensic Pathology","doi":"10.23907/2017.049","created_at":"2021-09-30T08:26:03.273Z","updated_at":"2021-09-30T08:26:03.273Z"}],"licence_links":[{"licence_name":"NCIS Copyright","licence_id":560,"licence_url":"https://www.ncis.org.au/about-us/copyright/","link_id":767,"relation":"undefined"},{"licence_name":"NCIS Disclaimer","licence_id":561,"licence_url":"https://www.ncis.org.au/about-us/disclaimer/","link_id":765,"relation":"undefined"},{"licence_name":"NCIS Privacy Statement","licence_id":562,"licence_url":"https://www.ncis.org.au/about-us/privacy-statement/","link_id":764,"relation":"undefined"}],"grants":[{"id":3447,"fairsharing_record_id":2781,"organisation_id":1981,"relation":"maintains","created_at":"2021-09-30T09:26:16.779Z","updated_at":"2021-09-30T09:26:16.779Z","grant_id":null,"is_lead":true,"saved_state":{"id":1981,"name":"National Coronial Information System (NCIS)","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2793","type":"fairsharing_records","attributes":{"created_at":"2019-07-15T19:19:11.000Z","updated_at":"2023-12-15T10:31:41.821Z","metadata":{"doi":"10.25504/FAIRsharing.WDGf1A","name":"Arctic Data Archive System","status":"ready","contacts":[{"contact_name":"ADS General Contact","contact_email":"ads-info@nipr.ac.jp"}],"homepage":"https://ads.nipr.ac.jp/portal/index.action","identifier":2793,"description":"The Arctic Data Archive System is a collection of many observational (atmosphere, ocean, terrestrial, and ecology) and model simulation datasets, and promote utilization of these datasets. ADS is the central repository of archived data on Arctic research in Japan.","abbreviation":"ADS","data_curation":{"type":"not found"},"support_links":[{"url":"https://ads.nipr.ac.jp/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ads.nipr.ac.jp/about-us","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ADS_NIPR","name":"@ADS_NIPR","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012463","name":"re3data:r3d100012463","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ads.nipr.ac.jp/registration/about/summary","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001292","bsg-d001292"],"name":"FAIRsharing record for: Arctic Data Archive System","abbreviation":"ADS","url":"https://fairsharing.org/10.25504/FAIRsharing.WDGf1A","doi":"10.25504/FAIRsharing.WDGf1A","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arctic Data Archive System is a collection of many observational (atmosphere, ocean, terrestrial, and ecology) and model simulation datasets, and promote utilization of these datasets. ADS is the central repository of archived data on Arctic research in Japan.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Meteorology","Earth Science","Atmospheric Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Arctic","Cryosphere","Paleoclimatology"],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"ADS Data Policy","licence_id":10,"licence_url":"https://ads.nipr.ac.jp/data-policy/","link_id":2107,"relation":"undefined"},{"licence_name":"ADS Privacy Policy","licence_id":11,"licence_url":"https://ads.nipr.ac.jp/privacy-policy/","link_id":2106,"relation":"undefined"}],"grants":[{"id":3482,"fairsharing_record_id":2793,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:26:17.771Z","updated_at":"2021-09-30T09:26:17.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3483,"fairsharing_record_id":2793,"organisation_id":108,"relation":"maintains","created_at":"2021-09-30T09:26:17.796Z","updated_at":"2021-09-30T09:26:17.796Z","grant_id":null,"is_lead":true,"saved_state":{"id":108,"name":"Arctic Environment Research Center, National Institute of Polar Research (NIPR), Tokyo, Japan","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2794","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T10:44:06.000Z","updated_at":"2022-07-20T12:26:32.784Z","metadata":{"doi":"10.25504/FAIRsharing.abbexa","name":"DES-TOMATO","status":"deprecated","contacts":[{"contact_name":"Vladimir Bajic","contact_email":"vladimir.bajic@kaust.edu.sa"}],"homepage":"https://www.cbrc.kaust.edu.sa/des_tomato/home/index.php","citations":[{"doi":"10.1038/s41598-017-05448-0","pubmed_id":28729549,"publication_id":2526}],"identifier":2794,"description":"DES-TOMATO is a topic-specific literature exploration system developed to allow the exploration of information related to tomato. The information provided in DES-TOMATO is obtained through the text-mining of available scientific literature, namely full-length articles in PubMed Central and titles and abstracts in PubMed.","abbreviation":"DES-TOMATO","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.cbrc.kaust.edu.sa/des_tomato/mykbase/show_help.php","name":"Software Manual","type":"Help documentation"},{"url":"https://www.youtube.com/watch?time_continue=3\u0026v=6l3g4B2aN7k","name":"Video Tutorial","type":"Video"},{"url":"https://www.cbrc.kaust.edu.sa/des_tomato/about/about.php","name":"About DES-TOMATO","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001293","bsg-d001293"],"name":"FAIRsharing record for: DES-TOMATO","abbreviation":"DES-TOMATO","url":"https://fairsharing.org/10.25504/FAIRsharing.abbexa","doi":"10.25504/FAIRsharing.abbexa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DES-TOMATO is a topic-specific literature exploration system developed to allow the exploration of information related to tomato. The information provided in DES-TOMATO is obtained through the text-mining of available scientific literature, namely full-length articles in PubMed Central and titles and abstracts in PubMed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["Text mining","Natural language processing","Publication"],"taxonomies":["Solanum lycopersicum"],"user_defined_tags":["Knowledge Mining"],"countries":["Saudi Arabia"],"publications":[{"id":2526,"pubmed_id":28729549,"title":"DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species.","year":2017,"url":"http://doi.org/10.1038/s41598-017-05448-0","authors":"Salhi A,Negrao S,Essack M,Morton MJL,Bougouffa S,Razali R,Radovanovic A,Marchand B,Kulmanov M,Hoehndorf R,Tester M,Bajic VB","journal":"Sci Rep","doi":"10.1038/s41598-017-05448-0","created_at":"2021-09-30T08:27:09.900Z","updated_at":"2021-09-30T08:27:09.900Z"}],"licence_links":[{"licence_name":"KAUST Terms of Use","licence_id":475,"licence_url":"https://www.kaust.edu.sa/en/Pages/Terms-of-Use.aspx","link_id":711,"relation":"undefined"}],"grants":[{"id":3484,"fairsharing_record_id":2794,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:26:17.821Z","updated_at":"2021-09-30T09:26:17.821Z","grant_id":null,"is_lead":true,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2773","type":"fairsharing_records","attributes":{"created_at":"2019-06-04T20:53:44.000Z","updated_at":"2023-12-15T10:32:06.953Z","metadata":{"doi":"10.25504/FAIRsharing.WxI96O","name":"Signaling Pathways Project","status":"ready","contacts":[{"contact_name":"Neil McKenna","contact_email":"nmckenna@bcm.edu","contact_orcid":"0000-0001-6689-0104"}],"homepage":"http://www.signalingpathways.org/index.jsf","citations":[{"doi":"10.1038/s41597-019-0193-4","publication_id":2627}],"identifier":2773,"description":"The Signaling Pathways Project is an integrated 'omics knowledgebase based upon public, manually curated transcriptomic and cistromic (ChIP-Seq) datasets involving genetic and small molecule manipulations of cellular receptors, enzymes and transcription factors. Our goal is to create a resource where scientists can routinely generate research hypotheses or validate bench data relevant to cellular signaling pathways.","abbreviation":"SPP","data_curation":{"url":"http://www.signalingpathways.org/collaborations.jsf","type":"manual/automated","notes":"The Signaling Pathways Project has developed a unique ‘omics dataset biocuration pipeline, involving mapping of experimental perturbations to cellular signaling pathway nodes, creation of richly annotated secondary versions of the datasets, and incorporation into consensomes."},"support_links":[{"url":"http://www.signalingpathways.org/about/index.jsf","name":"About SPP","type":"Help documentation"},{"url":"https://twitter.com/sigpathproject","name":"@sigpathproject","type":"Twitter"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"http://www.signalingpathways.org/ominer/query.jsf","name":"Ominer 1.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013650","name":"re3data:r3d100013650","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018412","name":"SciCrunch:RRID:SCR_018412","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001272","bsg-d001272"],"name":"FAIRsharing record for: Signaling Pathways Project","abbreviation":"SPP","url":"https://fairsharing.org/10.25504/FAIRsharing.WxI96O","doi":"10.25504/FAIRsharing.WxI96O","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Signaling Pathways Project is an integrated 'omics knowledgebase based upon public, manually curated transcriptomic and cistromic (ChIP-Seq) datasets involving genetic and small molecule manipulations of cellular receptors, enzymes and transcription factors. Our goal is to create a resource where scientists can routinely generate research hypotheses or validate bench data relevant to cellular signaling pathways.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12840}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Transcriptomics","Omics"],"domains":["Expression data","Computational biological predictions","Differential gene expression analysis","Gene expression","Regulation of gene expression","Signaling","Transcription factor","Receptor","Enzyme","Chromatin immunoprecipitation - DNA sequencing","Pathway model"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2627,"pubmed_id":null,"title":"The Signaling Pathways Project, an integrated ‘omics knowledgebase for mammalian cellular signaling pathways","year":2019,"url":"http://doi.org/10.1038/s41597-019-0193-4","authors":"Scott A. Ochsner, David Abraham, Kirt Martin, et al.","journal":"Scientific Data","doi":"10.1038/s41597-019-0193-4","created_at":"2021-09-30T08:27:22.546Z","updated_at":"2021-09-30T08:27:22.546Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1395,"relation":"undefined"}],"grants":[{"id":3433,"fairsharing_record_id":2773,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:26:16.429Z","updated_at":"2021-09-30T09:26:16.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9152,"fairsharing_record_id":2773,"organisation_id":2015,"relation":"funds","created_at":"2022-04-11T12:07:17.933Z","updated_at":"2022-04-11T12:07:17.948Z","grant_id":432,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK097748","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9155,"fairsharing_record_id":2773,"organisation_id":2015,"relation":"funds","created_at":"2022-04-11T12:07:18.131Z","updated_at":"2022-04-11T12:07:18.145Z","grant_id":803,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK097771","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2772","type":"fairsharing_records","attributes":{"created_at":"2019-06-04T11:11:53.000Z","updated_at":"2023-12-07T10:55:29.444Z","metadata":{"doi":"10.25504/FAIRsharing.L9UwAM","name":"CLOSER Discovery","status":"ready","contacts":[{"contact_name":"CLOSER Support","contact_email":"closer@ucl.ac.uk"}],"homepage":"https://www.discovery.closer.ac.uk/","citations":[{"doi":"10.1093/ije/dyz004","pubmed_id":30789213,"publication_id":2426}],"identifier":2772,"description":"CLOSER Discovery enables researchers to search and browse questionnaires and data from eight leading UK longitudinal studies. Relevant survey questions and variables, which can be filtered by study, topic and life stage, are available. Accessing data from each study varies according to the source and data type.","abbreviation":"CLOSER Discovery","data_curation":{"url":"https://wiki.ucl.ac.uk/display/CLOS/Metadata+Pipeline","type":"manual/automated"},"support_links":[{"url":"https://www.discovery.closer.ac.uk/page/faqs/1","name":"CLOSER FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.discovery.closer.ac.uk/page/how-to-guides/6","name":"How-To Guide","type":"Help documentation"},{"url":"https://www.discovery.closer.ac.uk/page/about/4","name":"About CLOSER","type":"Help documentation"},{"url":"https://www.closer.ac.uk/how-to-access-the-data","name":"How to Access Data","type":"Help documentation"},{"url":"https://wiki.ucl.ac.uk/display/CLOS/What+is+the+CLOSER+Technical+Wiki","name":"Technical Wiki","type":"Help documentation"},{"url":"https://www.discovery.closer.ac.uk/page/data-security/3","name":"Data Security and Metadata Licensing","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100014274","name":"re3data:r3d100014274","portal":"re3data"}],"data_access_condition":{"url":"https://discovery.closer.ac.uk/page/data-security/3","type":"open","notes":"CLOSER is a metadata portal related to serveral studies. To access data for the studies see: https://www.discovery.closer.ac.uk/page/faqs/1#access-data"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.discovery.closer.ac.uk/page/content/8","type":"not applicable","notes":"Only contains metadata from the nine CLOSER longitudinal studies, with no additional deposition allowed."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001271","bsg-d001271"],"name":"FAIRsharing record for: CLOSER Discovery","abbreviation":"CLOSER Discovery","url":"https://fairsharing.org/10.25504/FAIRsharing.L9UwAM","doi":"10.25504/FAIRsharing.L9UwAM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CLOSER Discovery enables researchers to search and browse questionnaires and data from eight leading UK longitudinal studies. Relevant survey questions and variables, which can be filtered by study, topic and life stage, are available. Accessing data from each study varies according to the source and data type.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12839}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Social Science","Public Health","Social and Behavioural Science","Biomedical Science"],"domains":["Questionnaire"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2426,"pubmed_id":30789213,"title":"Data Resource Profile: Cohort and Longitudinal Studies Enhancement Resources (CLOSER)","year":2019,"url":"http://doi.org/10.1093/ije/dyz004","authors":"O'Neil, Dara","journal":"International journal of epidemiology","doi":"10.1093/ije/dyz004","created_at":"2021-09-30T08:26:57.719Z","updated_at":"2021-09-30T08:26:57.719Z"}],"licence_links":[{"licence_name":"Non-Commercial Government Licence for Public Sector Information","licence_id":597,"licence_url":"https://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/","link_id":1496,"relation":"undefined"}],"grants":[{"id":3430,"fairsharing_record_id":2772,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:26:16.352Z","updated_at":"2021-09-30T09:26:16.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3431,"fairsharing_record_id":2772,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:26:16.378Z","updated_at":"2021-09-30T09:26:16.378Z","grant_id":null,"is_lead":true,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3432,"fairsharing_record_id":2772,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:26:16.402Z","updated_at":"2021-09-30T09:30:55.503Z","grant_id":936,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","grant":"ES/K000357/1","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2835","type":"fairsharing_records","attributes":{"created_at":"2019-10-01T12:25:45.000Z","updated_at":"2023-05-05T10:44:16.524Z","metadata":{"doi":"10.25504/FAIRsharing.FwFGGF","name":"PhenoDis","status":"deprecated","contacts":[{"contact_name":"Dr. Andreas Ruepp","contact_email":"andreas.ruepp@helmholtz-muenchen.de"}],"homepage":"http://mips.helmholtz-muenchen.de/phenodis/","citations":[{"doi":"10.1186/s13023-018-0765-y","pubmed_id":29370821,"publication_id":2567}],"identifier":2835,"description":"PhenoDis is a manually annotated database providing symptomatic, genetic and imprinting information about rare cardiac diseases. PhenoDis is primarily concerned with the assignment of clinical symptoms to rare diseases using the biomedical literature as information source and the Human Phenotype Ontology (HPO) as vocabulary. \n","abbreviation":"PhenoDis","data_curation":{"type":"not found"},"support_links":[{"url":"http://mips.helmholtz-muenchen.de/pheno/help/showHelp","name":"Help","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001336","bsg-d001336"],"name":"FAIRsharing record for: PhenoDis","abbreviation":"PhenoDis","url":"https://fairsharing.org/10.25504/FAIRsharing.FwFGGF","doi":"10.25504/FAIRsharing.FwFGGF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhenoDis is a manually annotated database providing symptomatic, genetic and imprinting information about rare cardiac diseases. PhenoDis is primarily concerned with the assignment of clinical symptoms to rare diseases using the biomedical literature as information source and the Human Phenotype Ontology (HPO) as vocabulary. \n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cardiology","Genetics"],"domains":["Disease","Cardiovascular disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2567,"pubmed_id":29370821,"title":"PhenoDis: a comprehensive database for phenotypic characterization of rare cardiac diseases.","year":2018,"url":"http://doi.org/10.1186/s13023-018-0765-y","authors":"Adler A,Kirchmeier P,Reinhard J,Brauner B,Dunger I,Fobo G,Frishman G,Montrone C,Mewes HW,Arnold M,Ruepp A","journal":"Orphanet J Rare Dis","doi":"10.1186/s13023-018-0765-y","created_at":"2021-09-30T08:27:14.795Z","updated_at":"2021-09-30T08:27:14.795Z"}],"licence_links":[{"licence_name":"Helmholtz Zentrum Muenchen Imprint","licence_id":387,"licence_url":"https://www.helmholtz-muenchen.de/en/imprint/index.html","link_id":1272,"relation":"undefined"}],"grants":[{"id":3575,"fairsharing_record_id":2835,"organisation_id":1401,"relation":"maintains","created_at":"2021-09-30T09:26:20.355Z","updated_at":"2021-09-30T09:26:20.355Z","grant_id":null,"is_lead":true,"saved_state":{"id":1401,"name":"Institute of Bioinformatics and Systems Biology (IBIS), Helmholtz Zentrum Muenchen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2836","type":"fairsharing_records","attributes":{"created_at":"2019-10-01T12:52:51.000Z","updated_at":"2023-06-23T15:44:48.318Z","metadata":{"doi":"10.25504/FAIRsharing.xUkfh7","name":"Mitochondrial Disease Sequence Data Resource","status":"ready","contacts":[{"contact_name":"Marni J. Falk","contact_email":"falkm@email.chop.edu","contact_orcid":"0000-0002-1723-6728"}],"homepage":"https://mseqdr.org/","citations":[{"doi":"10.1002/humu.22974","pubmed_id":26919060,"publication_id":2575}],"identifier":2836,"description":"The Mitochondrial Disease Sequence Data Resource (MSeqDR) is a centralized genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. It integrates community knowledge from expert‐curated databases with genomic and phenotype data shared by clinicians and researchers.","abbreviation":"MSeqDR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://mseqdr.org/news.php","name":"News","type":"Blog/News"},{"url":"https://mseqdr.org/feedback.php","name":"Feedback Form","type":"Contact form"},{"url":"xgai@chla.usc.edu","name":"Xiaowu Gai","type":"Support email"},{"url":"lshen86@gmail.com","name":"Lishuang Shen, Bioinformatician","type":"Support email"},{"url":"https://mseqdr.org/documentation.php","name":"All Documentation","type":"Help documentation"},{"url":"https://mseqdr.org/tutorial.php","name":"Tutorials","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"https://mseqdr.org/mitobox.php","name":"Mitochondrial Toolbox List"},{"url":"https://mseqdr.org/mvtool.php","name":"mvTool - Universal mtDNA Variant Converter and One Stop Annotation 3.0"},{"url":"https://mseqdr.org/mv4phylotree.php","name":"mvTool for PhyloTree and Haplogroup, Universal mtDNA Variant Converter and One Stop Annotation 1.0"},{"url":"https://mseqdr.org/leigh.php","name":"Leigh and Leigh-Like Syndrome (LS/LLS) Resources at MSeqDR.org 1.0"},{"url":"https://mseqdr.org/quickmitome.php","name":"MSeqDR Quick-Mitome - A Phenotype-Guided WES/WGS Variant Interpretation Server for Mitochondrial Diseases 2.0"},{"url":"https://mseqdr.org/MITO/index.php","name":"MSeqDR-LDSB: Expert-curated database of 280 mitochondrial diseases and 15,000 pathogenicity-assessed variants 5.0"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://mseqdr.org/submission.php","type":"open","notes":"Free registration is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001337","bsg-d001337"],"name":"FAIRsharing record for: Mitochondrial Disease Sequence Data Resource","abbreviation":"MSeqDR","url":"https://fairsharing.org/10.25504/FAIRsharing.xUkfh7","doi":"10.25504/FAIRsharing.xUkfh7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mitochondrial Disease Sequence Data Resource (MSeqDR) is a centralized genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. It integrates community knowledge from expert‐curated databases with genomic and phenotype data shared by clinicians and researchers.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12855}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genomics","Phenomics","Biomedical Science"],"domains":["Mitochondrion","Disease","Diagnosis","Sequence","Mitochondrial sequence","Sequence variant","Mitochondrial disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy","Netherlands","United Kingdom","United States"],"publications":[{"id":2575,"pubmed_id":26919060,"title":"MSeqDR: A Centralized Knowledge Repository and Bioinformatics Web Resource to Facilitate Genomic Investigations in Mitochondrial Disease.","year":2016,"url":"http://doi.org/10.1002/humu.22974","authors":"Shen L, Diroma MA, Gonzalez M, Navarro-Gomez D, Leipzig J, Lott MT, van Oven M, Wallace DC, Muraresku CC, Zolkipli-Cunningham Z, Chinnery PF, Attimonelli M, Zuchner S, Falk MJ, Gai X","journal":"Hum Mutationm","doi":"10.1002/humu.22974","created_at":"2021-09-30T08:27:15.845Z","updated_at":"2021-09-30T08:27:15.845Z"},{"id":2736,"pubmed_id":29539190,"title":"MSeqDR mvTool: A mitochondrial DNA Web and API resource for comprehensive variant annotation, universal nomenclature collation, and reference genome conversion","year":2018,"url":"http://doi.org/10.1002/humu.23422","authors":"Lishuang Shen, Marcella Attimonelli, Bai Renkui, Marie T Lott, Douglas C Wallace, Marni J Falk, Xiaowu Gai.","journal":"Human Mutation","doi":"doi:10.1002/humu.23422","created_at":"2021-09-30T08:27:35.950Z","updated_at":"2021-09-30T08:27:35.950Z"},{"id":2737,"pubmed_id":25542617,"title":"Mitochondrial Disease Sequence Data Resource (MSeqDR): a global grass-roots consortium to facilitate deposition, curation, annotation, and integrated analysis of genomic data for the mitochondrial disease clinical and research communities.","year":2014,"url":"http://doi.org/10.1016/j.ymgme.2014.11.016","authors":"Falk MJ, Shen L, Gonzalez M, Leipzig J, Lott MT, Stassen AP, Diroma MA, Navarro-Gomez D, Yeske P, Bai R, Boles RG, Brilhante V, Ralph D, DaRe JT, Shelton R, Terry SF, Zhang Z, Copeland WC, van Oven M, Prokisch H, Wallace DC, Attimonelli M, Krotoski D, Zuchner S, Gai X; MSeqDR Consortium Participants; MSeqDR Consortium participants: Sherri Bale, Jirair Bedoyan, Doron Behar, Penelope Bonnen, Lisa Brooks, Claudia Calabrese, Sarah Calvo, Patrick Chinnery, John Christodoulou, Deanna Church,; Rosanna Clima, Bruce H. Cohen, Richard G. Cotton, IFM de Coo, Olga Derbenevoa, Johan T. den Dunnen, David Dimmock, Gregory Enns, Giuseppe Gasparre,; Amy Goldstein, Iris Gonzalez, Katrina Gwinn, Sihoun Hahn, Richard H. Haas, Hakon Hakonarson, Michio Hirano, Douglas Kerr, Dong Li, Maria Lvova, Finley Macrae, Donna Maglott, Elizabeth McCormick, Grant Mitchell, Vamsi K. Mootha, Yasushi Okazaki,; Aurora Pujol, Melissa Parisi, Juan Carlos Perin, Eric A. Pierce, Vincent Procaccio, Shamima Rahman, Honey Reddi, Heidi Rehm, Erin Riggs, Richard Rodenburg, Yaffa Rubinstein, Russell Saneto, Mariangela Santorsola, Curt Scharfe,; Claire Sheldon, Eric A. Shoubridge, Domenico Simone, Bert Smeets, Jan A. Smeitink, Christine Stanley, Anu Suomalainen, Mark Tarnopolsky, Isabelle Thiffault, David R. Thorburn, Johan Van Hove, Lynne Wolfe, and Lee-Jun Wong","journal":"Mol Genet Metab","doi":"10.1016/j.ymgme.2014.11.016","created_at":"2021-09-30T08:27:36.181Z","updated_at":"2021-09-30T08:27:36.181Z"}],"licence_links":[],"grants":[{"id":3576,"fairsharing_record_id":2836,"organisation_id":2127,"relation":"maintains","created_at":"2021-09-30T09:26:20.371Z","updated_at":"2021-09-30T09:26:20.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":2127,"name":"Netherlands Genomic Initiative","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3578,"fairsharing_record_id":2836,"organisation_id":2922,"relation":"funds","created_at":"2021-09-30T09:26:20.405Z","updated_at":"2021-09-30T09:26:20.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":2922,"name":"United Mitochondrial Disease Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3577,"fairsharing_record_id":2836,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:26:20.388Z","updated_at":"2021-09-30T09:26:20.388Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3579,"fairsharing_record_id":2836,"organisation_id":505,"relation":"maintains","created_at":"2021-09-30T09:26:20.421Z","updated_at":"2021-09-30T09:26:20.421Z","grant_id":null,"is_lead":true,"saved_state":{"id":505,"name":"Children's Hospital Los Angeles, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3580,"fairsharing_record_id":2836,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:20.438Z","updated_at":"2021-09-30T09:29:09.011Z","grant_id":114,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U24 HD093483‐01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8235,"fairsharing_record_id":2836,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:40.148Z","updated_at":"2021-09-30T09:31:40.195Z","grant_id":1275,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54‐NS078059","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8295,"fairsharing_record_id":2836,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:57.400Z","updated_at":"2021-09-30T09:31:57.451Z","grant_id":1404,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U41‐HG006834","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2837","type":"fairsharing_records","attributes":{"created_at":"2019-10-21T22:16:57.000Z","updated_at":"2023-10-04T08:23:53.434Z","metadata":{"doi":"10.25504/FAIRsharing.etXuEk","name":"MiST 4.0: Microbial Signal Transduction database","status":"ready","contacts":[{"contact_name":"Vadim Gumerov","contact_email":"netuns@gmail.com","contact_orcid":"0000-0003-1670-7679"}],"homepage":"https://mistdb.com/","citations":[{"doi":"10.1093/nar/gkad847","pubmed_id":null,"publication_id":4002}],"identifier":2837,"description":"Signal transduction systems in bacteria and archaea link environmental stimuli to specific adaptive cellular responses. They control gene expression, motility, biofilm formation, development and other processes that are vital to survival. The microbial signal transduction (MiST) database is\nan online resource that stores tens of thousands of genomes and allows users to explore their signal transduction profiles, analyze genomes in\nbulk using the database application programming interface (API) and make testable hypotheses about the functions of newly identified signaling\nsystems. However, signal transduction in metagenomes remained completely unexplored. To lay the foundation for research in metagenomic\nsignal transduction, we have prepared a new release of the MiST database, MiST 4.0, which features over 10 000 metagenome-assembled\ngenomes (MAGs), a scaled representation of proteins and detailed BioSample information. In addition, several thousands of new genomes have\nbeen processed and stored in the database. A new interface has been developed that allows users to seamlessly switch between genomes and\nMAGs. MiST 4.0 is freely available at https://mistdb.com; metagenomes and MAGs can also be explored using the API available on the same\npage","abbreviation":"MiST","data_curation":{"url":"https://doi.org/10.1093/nar/gkad847","type":"automated"},"support_links":[{"url":"gumerov.1@osu.edu","name":"Contact","type":"Support email"},{"url":"https://twitter.com/mist3db","name":"@mist3db","type":"Twitter"},{"url":"https://mistdb.com/mist/help","name":"Help","type":"Help documentation"}],"year_creation":2023,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001338","bsg-d001338"],"name":"FAIRsharing record for: MiST 4.0: Microbial Signal Transduction database","abbreviation":"MiST","url":"https://fairsharing.org/10.25504/FAIRsharing.etXuEk","doi":"10.25504/FAIRsharing.etXuEk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Signal transduction systems in bacteria and archaea link environmental stimuli to specific adaptive cellular responses. They control gene expression, motility, biofilm formation, development and other processes that are vital to survival. The microbial signal transduction (MiST) database is\nan online resource that stores tens of thousands of genomes and allows users to explore their signal transduction profiles, analyze genomes in\nbulk using the database application programming interface (API) and make testable hypotheses about the functions of newly identified signaling\nsystems. However, signal transduction in metagenomes remained completely unexplored. To lay the foundation for research in metagenomic\nsignal transduction, we have prepared a new release of the MiST database, MiST 4.0, which features over 10 000 metagenome-assembled\ngenomes (MAGs), a scaled representation of proteins and detailed BioSample information. In addition, several thousands of new genomes have\nbeen processed and stored in the database. A new interface has been developed that allows users to seamlessly switch between genomes and\nMAGs. MiST 4.0 is freely available at https://mistdb.com; metagenomes and MAGs can also be explored using the API available on the same\npage","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12856}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Bioinformatics","Computational Biology"],"domains":["Protein domain","Signaling","Receptor","Metagenome","Genome"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["Chemotaxis","One-component systems","Protein domains","Signal Transduction","Two-component systems"],"countries":["United States"],"publications":[{"id":2632,"pubmed_id":null,"title":"MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems","year":2019,"url":"http://doi.org/10.1093/nar/gkz988","authors":"Vadim M Gumerov, Davi R Ortega, Ogun Adebali, Luke E Ulrich, Igor B Zhulin","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz988","created_at":"2021-09-30T08:27:23.122Z","updated_at":"2021-09-30T08:27:23.122Z"},{"id":4002,"pubmed_id":null,"title":"MiST 4.0: a new release of the microbial signal transduction database, now with a metagenomic component","year":2023,"url":"https://doi.org/10.1093/nar/gkad847","authors":"Vadim M. Gumerov, Luke E. Ulrich, Igor B. Zhulin","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkad847","created_at":"2023-10-02T17:17:00.236Z","updated_at":"2023-10-02T17:17:00.236Z"}],"licence_links":[],"grants":[{"id":3581,"fairsharing_record_id":2837,"organisation_id":2236,"relation":"maintains","created_at":"2021-09-30T09:26:20.454Z","updated_at":"2021-09-30T09:26:20.454Z","grant_id":null,"is_lead":true,"saved_state":{"id":2236,"name":"Ohio State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3582,"fairsharing_record_id":2837,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:20.471Z","updated_at":"2021-09-30T09:31:06.634Z","grant_id":1021,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R01DE024463","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8384,"fairsharing_record_id":2837,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:23.425Z","updated_at":"2021-09-30T09:32:23.480Z","grant_id":1598,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R35GM131760","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ0VEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--28ebdd3cb6ab887082a92fb8ddd37f04109468cb/MiST4_logo.PNG?disposition=inline","exhaustive_licences":false}},{"id":"2838","type":"fairsharing_records","attributes":{"created_at":"2019-10-22T12:14:08.000Z","updated_at":"2023-12-15T10:30:34.476Z","metadata":{"doi":"10.25504/FAIRsharing.5a0922","name":"YeastCyc","status":"ready","contacts":[{"contact_name":"BioCyc Support","contact_email":"biocyc-support@ai.sri.com"}],"homepage":"https://yeast.biocyc.org/","identifier":2838,"description":"YeastCyc is a Pathway/Genome Database of the model eukaryote Saccharomyces cerevisiae S288c. In addition to genomic information, the database contains metabolic pathway, reaction, enzyme, and compound information, which has been manually curated from the scientific literature.","abbreviation":"YeastCyc","data_curation":{"url":"https://biocyc.org/credits.shtml?sid=biocyc18-3897989217","type":"manual","notes":"Curation team"},"support_links":[{"url":"https://yeast.biocyc.org/PToolsWebsiteHowto.shtml#SearchHelp","name":"Search Help","type":"Help documentation"},{"url":"https://yeast.biocyc.org/PToolsWebsiteHowto.shtml","name":"User Guide","type":"Help documentation"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"https://yeast.biocyc.org/YEAST/blast.html","name":"BLAST"},{"url":"https://yeast.biocyc.org/YEAST/select-gen-el","name":"Genome Browser"},{"url":"https://yeast.biocyc.org/dashboard/dashboard-intro.shtml","name":"Omics Dashboard"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001339","bsg-d001339"],"name":"FAIRsharing record for: YeastCyc","abbreviation":"YeastCyc","url":"https://fairsharing.org/10.25504/FAIRsharing.5a0922","doi":"10.25504/FAIRsharing.5a0922","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: YeastCyc is a Pathway/Genome Database of the model eukaryote Saccharomyces cerevisiae S288c. In addition to genomic information, the database contains metabolic pathway, reaction, enzyme, and compound information, which has been manually curated from the scientific literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Systems Biology"],"domains":["Reaction data","Model organism","Enzyme","Pathway model","Genome","Literature curation"],"taxonomies":["Saccharomyces cerevisiae S288c"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"BioCyc Subscription requirements","licence_id":79,"licence_url":"http://www.phoenixbioinformatics.org/biocyc#product-biocyc-subscription","link_id":1389,"relation":"undefined"}],"grants":[{"id":3583,"fairsharing_record_id":2838,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:20.488Z","updated_at":"2021-09-30T09:26:20.488Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3584,"fairsharing_record_id":2838,"organisation_id":248,"relation":"maintains","created_at":"2021-09-30T09:26:20.505Z","updated_at":"2021-09-30T09:26:20.505Z","grant_id":null,"is_lead":true,"saved_state":{"id":248,"name":"Bioinformatics Research Group, SRI International, Menlo Park, California, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2839","type":"fairsharing_records","attributes":{"created_at":"2019-10-23T07:48:56.000Z","updated_at":"2023-05-05T10:55:16.539Z","metadata":{"doi":"10.25504/FAIRsharing.ohbpNw","name":" Comprehensive Resource of Mammalian protein complexes","status":"deprecated","contacts":[{"contact_name":"Andreas Ruepp","contact_email":"andreas.ruepp@helmholtz-muenchen.de","contact_orcid":"0000-0003-1705-3515"}],"homepage":"https://mips.helmholtz-muenchen.de/corum/","citations":[{"doi":"10.1093/nar/gky973","pubmed_id":30357367,"publication_id":2586}],"identifier":2839,"description":"CORUM is a database that provides a manually curated repository of experimentally characterized protein complexes from mammalian organisms, mainly human (64%), mouse (16%) and rat (12%). Each protein complex is described by a protein complex name, subunit composition, function as well as the literature reference that characterizes the respective protein complex.\n","abbreviation":"CORUM","data_curation":{"type":"not found"},"support_links":[{"url":"http://mips.helmholtz-muenchen.de/corum/#about","name":"About CORUM","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011272","name":"re3data:r3d100011272","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002254","name":"SciCrunch:RRID:SCR_002254","portal":"SciCrunch"}],"deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001340","bsg-d001340"],"name":"FAIRsharing record for: Comprehensive Resource of Mammalian protein complexes","abbreviation":"CORUM","url":"https://fairsharing.org/10.25504/FAIRsharing.ohbpNw","doi":"10.25504/FAIRsharing.ohbpNw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CORUM is a database that provides a manually curated repository of experimentally characterized protein complexes from mammalian organisms, mainly human (64%), mouse (16%) and rat (12%). Each protein complex is described by a protein complex name, subunit composition, function as well as the literature reference that characterizes the respective protein complex.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["Functional domain","Molecular function","Protein-containing complex"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2586,"pubmed_id":30357367,"title":"CORUM: the comprehensive resource of mammalian protein complexes-2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky973","authors":"Giurgiu M, Reinhard J, Brauner B, Dunger-Kaltenbach I, Fobo G, Frishman G, Montrone C, Ruepp A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky973","created_at":"2021-09-30T08:27:17.161Z","updated_at":"2021-09-30T08:27:17.161Z"}],"licence_links":[],"grants":[{"id":3585,"fairsharing_record_id":2839,"organisation_id":1237,"relation":"maintains","created_at":"2021-09-30T09:26:20.521Z","updated_at":"2021-09-30T09:26:20.521Z","grant_id":null,"is_lead":true,"saved_state":{"id":1237,"name":"Helmholtz Zentrum Munchen","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2840","type":"fairsharing_records","attributes":{"created_at":"2019-10-24T10:14:25.000Z","updated_at":"2023-12-15T10:32:31.392Z","metadata":{"doi":"10.25504/FAIRsharing.YmkBZX","name":"Pathogen-Host Interaction Data integration and Analysis System","status":"ready","contacts":[{"contact_name":"Yongqun \"Oliver\" He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.phidias.us/index.php","citations":[{"doi":"10.1186/gb-2007-8-7-r150","pubmed_id":17663773,"publication_id":372}],"identifier":2840,"description":"PHIDIAS is a web-based database and analysis system that aims to manually curate, computationally analyze, and address different scientific issues in the areas of pathogen-host interactions (PHI, or called host-pathogen interactions or HPI). PHIDIAS has emphasized the study of those pathogens that cause various infectious diseases in humans and animals. The recently published Victors analysis program is a relatively independent system within the PHIDIAS database and analysis resource.","abbreviation":"PHIDIAS","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.phidias.us/faqs.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.phidias.us/docs/docs.php","name":"Documentation","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://www.phidias.us/pacodom/index.php","name":"Pacodom"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://phidias.us/datasubmission/index.php","type":"open","notes":"Free login is required for data submission."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001341","bsg-d001341"],"name":"FAIRsharing record for: Pathogen-Host Interaction Data integration and Analysis System","abbreviation":"PHIDIAS","url":"https://fairsharing.org/10.25504/FAIRsharing.YmkBZX","doi":"10.25504/FAIRsharing.YmkBZX","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PHIDIAS is a web-based database and analysis system that aims to manually curate, computationally analyze, and address different scientific issues in the areas of pathogen-host interactions (PHI, or called host-pathogen interactions or HPI). PHIDIAS has emphasized the study of those pathogens that cause various infectious diseases in humans and animals. The recently published Victors analysis program is a relatively independent system within the PHIDIAS database and analysis resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Life Science","Biomedical Science"],"domains":["Pathogen","Host","Curated information","Infection"],"taxonomies":["Bacteria","Brucella"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":372,"pubmed_id":17663773,"title":"PHIDIAS: a pathogen-host interaction data integration and analysis system.","year":2007,"url":"http://doi.org/10.1186/gb-2007-8-7-r150","authors":"Xiang Z,Tian Y,He Y","journal":"Genome Biol","doi":"10.1186/gb-2007-8-7-r150","created_at":"2021-09-30T08:22:59.999Z","updated_at":"2021-09-30T08:22:59.999Z"}],"licence_links":[{"licence_name":"PHIDIAS Disclaimer","licence_id":663,"licence_url":"http://www.phidias.us/disclaimer.php","link_id":1797,"relation":"undefined"}],"grants":[{"id":3586,"fairsharing_record_id":2840,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:26:20.538Z","updated_at":"2021-09-30T09:26:20.538Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3587,"fairsharing_record_id":2840,"organisation_id":3095,"relation":"funds","created_at":"2021-09-30T09:26:20.555Z","updated_at":"2021-09-30T09:26:20.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3588,"fairsharing_record_id":2840,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:20.571Z","updated_at":"2021-09-30T09:26:20.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2841","type":"fairsharing_records","attributes":{"created_at":"2019-10-24T12:03:26.000Z","updated_at":"2023-12-15T10:32:00.722Z","metadata":{"doi":"10.25504/FAIRsharing.c55071","name":"RIKEN Arabidopsis Genome Encyclopedia II","status":"ready","contacts":[{"contact_name":"RARGE Developers","contact_email":"rarge-master@psc.riken.jp"}],"homepage":"http://rarge-v2.psc.riken.jp/","citations":[{"doi":"10.1093/pcp/pct165","pubmed_id":24272250,"publication_id":2587}],"identifier":2841,"description":"RARGE II provides basic information about the Arabidopsis genome, such as information related to cDNA sequences and transposon insertion mutants. To create it, publicly available information for a total of 66,209 Arabidopsis mutant lines was used, including loss-of-function (RATM and TARAPPER) and gain-of-function (AtFOX and OsFOX) lines, as well as phenotype data gained through the mapping of descriptions onto Plant Ontology (PO) and Phenotypic Quality Ontology (PATO) terms.","abbreviation":"RARGE II","data_curation":{"type":"not found"},"support_links":[{"url":"tetsuya.sakurai@riken.jp","name":"Tetsuya Sakurai","type":"Support email"},{"url":"http://rarge-v2.psc.riken.jp/about","name":"About RARGE","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001342","bsg-d001342"],"name":"FAIRsharing record for: RIKEN Arabidopsis Genome Encyclopedia II","abbreviation":"RARGE II","url":"https://fairsharing.org/10.25504/FAIRsharing.c55071","doi":"10.25504/FAIRsharing.c55071","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RARGE II provides basic information about the Arabidopsis genome, such as information related to cDNA sequences and transposon insertion mutants. To create it, publicly available information for a total of 66,209 Arabidopsis mutant lines was used, including loss-of-function (RATM and TARAPPER) and gain-of-function (AtFOX and OsFOX) lines, as well as phenotype data gained through the mapping of descriptions onto Plant Ontology (PO) and Phenotypic Quality Ontology (PATO) terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Functional Genomics","Genomics","Life Science","Plant Genetics"],"domains":["Genome annotation","Mutation","Transposable element","Complementary DNA","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2587,"pubmed_id":24272250,"title":"RARGE II: an integrated phenotype database of Arabidopsis mutant traits using a controlled vocabulary.","year":2013,"url":"http://doi.org/10.1093/pcp/pct165","authors":"Akiyama K,Kurotani A,Iida K,Kuromori T,Shinozaki K,Sakurai T","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pct165","created_at":"2021-09-30T08:27:17.321Z","updated_at":"2021-09-30T08:27:17.321Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":1798,"relation":"undefined"},{"licence_name":"RARGE Disclaimer","licence_id":697,"licence_url":"http://rarge-v2.psc.riken.jp/disclaimer","link_id":1799,"relation":"undefined"}],"grants":[{"id":3590,"fairsharing_record_id":2841,"organisation_id":2446,"relation":"maintains","created_at":"2021-09-30T09:26:20.605Z","updated_at":"2021-09-30T09:26:20.605Z","grant_id":null,"is_lead":true,"saved_state":{"id":2446,"name":"RIKEN Center for Sustainable Resource Science, Yokohama, Japan","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3589,"fairsharing_record_id":2841,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:26:20.588Z","updated_at":"2021-09-30T09:29:49.341Z","grant_id":420,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"18700106","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2831","type":"fairsharing_records","attributes":{"created_at":"2019-09-24T18:19:15.000Z","updated_at":"2023-12-15T10:31:25.001Z","metadata":{"doi":"10.25504/FAIRsharing.3xwMon","name":"PathBank","status":"ready","contacts":[{"contact_name":"PathBank Team","contact_email":"pathbank@wishartlab.com"}],"homepage":"http://pathbank.org/","identifier":2831,"description":"PathBank is an interactive, visual database containing more than 100 000 machine-readable pathways found in model organisms such as humans, mice, E. coli, yeast, and Arabidopsis thaliana. The majority of these pathways are not found in any other pathway database. PathBank is designed specifically to support pathway elucidation and pathway discovery in metabolomics, transcriptomics, proteomics, and systems biology. All PathBank pathways include information on the relevant organelles, subcellular compartments, protein complex cofactors, protein complex locations, metabolite locations, chemical structures, and protein complex quaternary structures. The database is easily browsed and supports full text, sequence, and chemical structure searching.","abbreviation":"PathBank","data_curation":{"type":"not found"},"support_links":[{"url":"http://pathbank.org/pathwhiz/style_guide","name":"Pathway Style Guide","type":"Help documentation"},{"url":"http://pathbank.org/legend","name":"Pathway Legend","type":"Help documentation"},{"url":"http://pathbank.org/stats","name":"Statistics","type":"Help documentation"},{"url":"http://pathbank.org/about","name":"About PathBank","type":"Help documentation"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001331","bsg-d001331"],"name":"FAIRsharing record for: PathBank","abbreviation":"PathBank","url":"https://fairsharing.org/10.25504/FAIRsharing.3xwMon","doi":"10.25504/FAIRsharing.3xwMon","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PathBank is an interactive, visual database containing more than 100 000 machine-readable pathways found in model organisms such as humans, mice, E. coli, yeast, and Arabidopsis thaliana. The majority of these pathways are not found in any other pathway database. PathBank is designed specifically to support pathway elucidation and pathway discovery in metabolomics, transcriptomics, proteomics, and systems biology. All PathBank pathways include information on the relevant organelles, subcellular compartments, protein complex cofactors, protein complex locations, metabolite locations, chemical structures, and protein complex quaternary structures. The database is easily browsed and supports full text, sequence, and chemical structure searching.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12853}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Endocrinology","Molecular biology","Animal Genetics","Cheminformatics","Bioinformatics","Genetics","Proteomics","Drug Metabolism","Human Genetics","Molecular Microbiology","Metabolomics","Transcriptomics","Cell Biology","Database Management","Microbiology","Biology","Systems Biology","Medical Informatics","Plant Genetics"],"domains":["Protein name","Protein structure","Gene name","Drug name","Reaction data","Protein interaction","Drug","Metabolite","Catalytic activity","Glucose metabolic process","Regulation of gene expression","Drug metabolic process","Signaling","Enzymatic reaction","Receptor","High-throughput screening","Drug interaction","Enzyme","Disease","Protein","Pathway model","Gene","Amino acid sequence","Genetic disorder"],"taxonomies":["Arabidopsis thaliana","Bos taurus","Caenorhabditis elegans","Drosophila melanogaster","Escherichia coli","Homo sapiens","Mus musculus","Pseudomonas aeruginosa","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":["Drug Target","Pathway Diagram"],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":1228,"relation":"undefined"}],"grants":[{"id":3562,"fairsharing_record_id":2831,"organisation_id":3011,"relation":"maintains","created_at":"2021-09-30T09:26:20.046Z","updated_at":"2021-09-30T09:26:20.046Z","grant_id":null,"is_lead":true,"saved_state":{"id":3011,"name":"University of Alberta, Canada","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2832","type":"fairsharing_records","attributes":{"created_at":"2019-10-18T08:06:40.000Z","updated_at":"2024-04-09T10:38:08.111Z","metadata":{"doi":"10.25504/FAIRsharing.0Hsbor","name":"A database for spatially resolved transcriptomes","status":"ready","contacts":[{"contact_name":"CHEN, Xiaowei","contact_email":"chenxiaowei@ibp.ac.cn"}],"homepage":"http://www.spatialomics.org/SpatialDB/","citations":[],"identifier":2832,"description":"Spatially resolved transcriptomics providing gene expression profiles with positional information is key to tissue function and fundamental to disease pathology. SpatialDB is the first public database that specifically curates spatially resolved transcriptomic data from published papers, aiming to provide a comprehensive and accurate resource of spatial gene expression profiles in tissues. Currently, SpatialDB contains detailed information of 24 datasets generated by 8 spatially resolved transcriptomic techniques. SpatialDB allows users to browse the spatial gene expression profile of all the 8 techniques online and compare the spatial gene expression profile of any two datasets generated by the same or different techniques side by side. It provides spatially variable (SV) genes identified by SpatialDE and trendsceek, as well as functional enrichment annotation of SV genes.","abbreviation":"SpatialDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.spatialomics.org/SpatialDB/help.php","name":"Help Pages","type":"Help documentation"},{"url":"http://www.spatialomics.org/SpatialDB/about.php","name":"About","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.spatialomics.org/SpatialDB/upload.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001333","bsg-d001333"],"name":"FAIRsharing record for: A database for spatially resolved transcriptomes","abbreviation":"SpatialDB","url":"https://fairsharing.org/10.25504/FAIRsharing.0Hsbor","doi":"10.25504/FAIRsharing.0Hsbor","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Spatially resolved transcriptomics providing gene expression profiles with positional information is key to tissue function and fundamental to disease pathology. SpatialDB is the first public database that specifically curates spatially resolved transcriptomic data from published papers, aiming to provide a comprehensive and accurate resource of spatial gene expression profiles in tissues. Currently, SpatialDB contains detailed information of 24 datasets generated by 8 spatially resolved transcriptomic techniques. SpatialDB allows users to browse the spatial gene expression profile of all the 8 techniques online and compare the spatial gene expression profile of any two datasets generated by the same or different techniques side by side. It provides spatially variable (SV) genes identified by SpatialDE and trendsceek, as well as functional enrichment annotation of SV genes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12854}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Transcriptomics"],"domains":["Expression data","Gene functional annotation","Tissue"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":3564,"fairsharing_record_id":2832,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:26:20.097Z","updated_at":"2021-09-30T09:30:20.988Z","grant_id":669,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31871307","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8197,"fairsharing_record_id":2832,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:27.814Z","updated_at":"2021-09-30T09:31:27.870Z","grant_id":1180,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31801072","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8296,"fairsharing_record_id":2832,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:57.615Z","updated_at":"2021-09-30T09:31:57.668Z","grant_id":1406,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31701122","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3563,"fairsharing_record_id":2832,"organisation_id":244,"relation":"maintains","created_at":"2021-09-30T09:26:20.073Z","updated_at":"2021-09-30T09:26:20.073Z","grant_id":null,"is_lead":true,"saved_state":{"id":244,"name":"Bioinformatics Laboratory, Institute of Biophysics, Chinese Academy of Sciences (CAS), Beijing, China","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2833","type":"fairsharing_records","attributes":{"created_at":"2019-09-25T19:55:03.000Z","updated_at":"2024-03-21T13:58:55.098Z","metadata":{"doi":"10.25504/FAIRsharing.PD1PEt","name":"Blackfynn Discover","status":"deprecated","contacts":[{"contact_name":"joost Wagenaar","contact_email":"joost@blackfynn.com","contact_orcid":"0000-0003-0837-7120"}],"homepage":"https://discover.blackfynn.com","citations":[],"identifier":2833,"description":"Blackfynn Discover is a public resource for accessing large public Neuroscience datasets. Blackfynn Discover was developed through grants from the NIH NIDA, NIH CommonFund, DARPA, and others to provide a sustainable solution for fostering collaboration in the Neurosciences.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://www.blackfynn.com/contact/","name":"Blackfynn Contact Form","type":"Contact form"},{"url":"https://help.blackfynn.com","name":"Blackfynn Help Center","type":"Help documentation"},{"url":"https://www.blackfynn.com/about/","name":"About Blackfynn","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://developer.blackfynn.io/python/latest/index.html","name":"Python Client"},{"url":"https://developer.blackfynn.io/matlab/index.html","name":"MATLAB Client"},{"url":"https://developer.blackfynn.io/agent/index.html","name":"Command Line Interface"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013148","name":"re3data:r3d100013148","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018068","name":"SciCrunch:RRID:SCR_018068","portal":"SciCrunch"}],"deprecation_date":"2022-07-14","deprecation_reason":"The resource homepage is no longer available, and no suitable replacement can be found. Please get in touch with us if you have more information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001334","bsg-d001334"],"name":"FAIRsharing record for: Blackfynn Discover","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.PD1PEt","doi":"10.25504/FAIRsharing.PD1PEt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Blackfynn Discover is a public resource for accessing large public Neuroscience datasets. Blackfynn Discover was developed through grants from the NIH NIDA, NIH CommonFund, DARPA, and others to provide a sustainable solution for fostering collaboration in the Neurosciences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neuroscience"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1040,"pubmed_id":26044858,"title":"Data integration: Combined imaging and electrophysiology data in the cloud.","year":2015,"url":"http://doi.org/S1053-8119(15)00465-6","authors":"Kini LG,Davis KA,Wagenaar JB","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2015.05.075","created_at":"2021-09-30T08:24:15.147Z","updated_at":"2021-09-30T08:24:15.147Z"},{"id":2547,"pubmed_id":26035676,"title":"Collaborating and sharing data in epilepsy research.","year":2015,"url":"http://doi.org/10.1097/WNP.0000000000000159","authors":"Wagenaar JB,Worrell GA,Ives Z,Dumpelmann M,Litt B,Schulze-Bonhage A","journal":"J Clin Neurophysiol","doi":"10.1097/WNP.0000000000000159","created_at":"2021-09-30T08:27:12.309Z","updated_at":"2021-09-30T08:27:12.309Z"}],"licence_links":[{"licence_name":"Blackfynn Terms of Use","licence_id":83,"licence_url":"https://www.blackfynn.com/legal/terms/","link_id":827,"relation":"undefined"},{"licence_name":"Community Data License Agreement - Permissive, Version 1.0 (CDLA-Permissive-1.0)","licence_id":143,"licence_url":"https://cdla.io/permissive-1-0/","link_id":708,"relation":"undefined"},{"licence_name":"Community Data License Agreement - Sharing, Version 1.0 (CDLA-Sharing-1.0)","licence_id":144,"licence_url":"https://cdla.io/sharing-1-0/","link_id":725,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":749,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":760,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":742,"relation":"undefined"},{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":731,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":740,"relation":"undefined"},{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":727,"relation":"undefined"}],"grants":[{"id":3565,"fairsharing_record_id":2833,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:20.122Z","updated_at":"2021-09-30T09:26:20.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3566,"fairsharing_record_id":2833,"organisation_id":286,"relation":"maintains","created_at":"2021-09-30T09:26:20.147Z","updated_at":"2021-09-30T09:26:20.147Z","grant_id":null,"is_lead":true,"saved_state":{"id":286,"name":"Blackfynn Inc.","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3567,"fairsharing_record_id":2833,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:26:20.173Z","updated_at":"2021-09-30T09:32:16.062Z","grant_id":1541,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"NIH 5R44DA044929-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11557,"fairsharing_record_id":2833,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:54.583Z","updated_at":"2024-03-21T13:58:55.036Z","grant_id":1115,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"NIH 3OT3OD025347-01S2","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2812","type":"fairsharing_records","attributes":{"created_at":"2019-07-31T21:51:58.000Z","updated_at":"2023-12-15T10:31:52.833Z","metadata":{"doi":"10.25504/FAIRsharing.278768","name":"coastMap","status":"ready","contacts":[{"contact_name":"Kay-Christian Emeis","contact_email":"kay.emeis@hzg.de","contact_orcid":"0000-0003-0459-913X"}],"homepage":"https://www.hereon.de/institutes/carbon_cycles/data_coastal_research/coastmap/index.php.en","citations":[],"identifier":2812,"description":"coastMap is a collection of data based on the observations of the seafloor and water conditions and atmosphere of mainly the North Sea. This information can be used for analysis and modelling by researchers.","abbreviation":"coastMap","data_curation":{"type":"not found"},"support_links":[{"url":"marcus.lange@hzg.de","name":"Marcus Lange (Scientific Coordination, Website)","type":"Support email"},{"url":"https://www.hereon.de/institutes/carbon_cycles/data_coastal_research/coastmap/data/tutorials/index.php.en","name":"Tutorials","type":"Help documentation"}],"data_versioning":"no","associated_tools":[{"url":"https://www.wdc-climate.de/ui/entry?acronym=TRIM-NP-2d-PCA_ResCurr","name":"Residual Currents in the North Sea"},{"url":"https://hcdc.hzg.de/drift-now/","name":"Drift App"},{"url":"https://hcdc.hzg.de/bn-oil-dispersion/","name":"Oil Drift"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012648","name":"re3data:r3d100012648","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001311","bsg-d001311"],"name":"FAIRsharing record for: coastMap","abbreviation":"coastMap","url":"https://fairsharing.org/10.25504/FAIRsharing.278768","doi":"10.25504/FAIRsharing.278768","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: coastMap is a collection of data based on the observations of the seafloor and water conditions and atmosphere of mainly the North Sea. This information can be used for analysis and modelling by researchers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Environmental Science","Geology","Marine Biology","Atmospheric Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment","Sedimentology"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"coastMap Disclaimer","licence_id":140,"licence_url":"https://www.hzg.de/imperia/md/images/coastmap/coastmap_disclaimer.pdf","link_id":945,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":943,"relation":"undefined"},{"licence_name":"Helmholtz-Zentrum Geesthacht Data Privacy","licence_id":386,"licence_url":"https://www.hzg.de/public_relations_media/imprint/privacy_policy/index.php.en","link_id":942,"relation":"undefined"}],"grants":[{"id":3515,"fairsharing_record_id":2812,"organisation_id":1236,"relation":"maintains","created_at":"2021-09-30T09:26:18.690Z","updated_at":"2021-09-30T09:26:18.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":1236,"name":"Helmholtz-Zentrum Geesthacht (HZG), Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2813","type":"fairsharing_records","attributes":{"created_at":"2019-07-31T22:43:08.000Z","updated_at":"2023-12-15T10:32:24.894Z","metadata":{"doi":"10.25504/FAIRsharing.cd40d1","name":"Copernicus Space Component Data Access","status":"ready","contacts":[{"contact_name":"General Support","contact_email":"EOSupport@copernicus.esa.int"}],"homepage":"https://spacedata.copernicus.eu","identifier":2813,"description":"The CSCDA portal is the access point to information collected on Land, Marine, environmental as well as emergency and security data by the European Union using space component data.","abbreviation":"CSCDA","data_curation":{"type":"none"},"support_links":[{"url":"https://spacedata.copernicus.eu/web/cscda/blogs/-/blogs/","name":"Latest news","type":"Blog/News"},{"url":"https://spacedata.copernicus.eu/web/cscda/faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://spacedata.copernicus.eu/web/cscda/copernicus-users/users-feedback","name":"User feedback","type":"Help documentation"},{"url":"https://spacedata.copernicus.eu/web/cscda/explore-more/document-library","name":"Document Library","type":"Help documentation"},{"url":"https://twitter.com/CopernicusData","name":"Twitter","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011048","name":"re3data:r3d100011048","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001312","bsg-d001312"],"name":"FAIRsharing record for: Copernicus Space Component Data Access","abbreviation":"CSCDA","url":"https://fairsharing.org/10.25504/FAIRsharing.cd40d1","doi":"10.25504/FAIRsharing.cd40d1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CSCDA portal is the access point to information collected on Land, Marine, environmental as well as emergency and security data by the European Union using space component data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Earth Science","Atmospheric Science","Oceanography","Physical Geography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Geological mapping"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"CSCDA Legal Documents","licence_id":203,"licence_url":"https://spacedata.copernicus.eu/web/cscda/data-offer/legal-documents","link_id":1454,"relation":"undefined"}],"grants":[{"id":3516,"fairsharing_record_id":2813,"organisation_id":957,"relation":"maintains","created_at":"2021-09-30T09:26:18.770Z","updated_at":"2021-09-30T09:26:18.770Z","grant_id":null,"is_lead":true,"saved_state":{"id":957,"name":"European Space Agency","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3517,"fairsharing_record_id":2813,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:18.807Z","updated_at":"2021-09-30T09:29:16.878Z","grant_id":174,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7/2007-2013","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2817","type":"fairsharing_records","attributes":{"created_at":"2019-08-14T09:54:55.000Z","updated_at":"2023-06-23T16:16:30.843Z","metadata":{"doi":"10.25504/FAIRsharing.d36c2c","name":"OpenML","status":"ready","contacts":[],"homepage":"https://www.openml.org/","citations":[],"identifier":2817,"description":"The Open Machine Learning project is an inclusive movement to build an open, organized, online ecosystem for machine learning. We build open source tools to discover (and share) open data from any domain, easily draw them into your favourite machine learning environments, quickly build models alongside (and together with) thousands of other data scientists, analyse your results against the state of the art, and even get automatic advice on how to build better models","abbreviation":"OpenML","data_curation":{"type":"automated"},"support_links":[{"url":"https://docs.openml.org/","name":"Help documentation","type":"Help documentation"},{"url":"https://docs.openml.org/OpenML_definition/","name":"OpenML Definition","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011098","name":"re3data:r3d100011098","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://docs.openml.org/Contributing/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001316","bsg-d001316"],"name":"FAIRsharing record for: OpenML","abbreviation":"OpenML","url":"https://fairsharing.org/10.25504/FAIRsharing.d36c2c","doi":"10.25504/FAIRsharing.d36c2c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Machine Learning project is an inclusive movement to build an open, organized, online ecosystem for machine learning. We build open source tools to discover (and share) open data from any domain, easily draw them into your favourite machine learning environments, quickly build models alongside (and together with) thousands of other data scientists, analyse your results against the state of the art, and even get automatic advice on how to build better models","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Mining","Subject Agnostic"],"domains":["Machine learning"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","Netherlands","Portugal"],"publications":[{"id":3357,"pubmed_id":null,"title":"OpenML-Python: an extensible Python API for OpenML","year":2019,"url":"https://doi.org/10.48550/arXiv.1911.02490","authors":"Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter","journal":"arXiv preprint","doi":"https://doi.org/10.48550/arXiv.1911.02490","created_at":"2022-05-09T22:08:10.619Z","updated_at":"2022-05-09T22:11:51.914Z"},{"id":3358,"pubmed_id":null,"title":"OpenML: networked science in machine learning","year":2014,"url":"https://doi.org/10.1145/2641190.2641198","authors":"Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luis Torgo","journal":"arXiv preprint","doi":"https://doi.org/10.1145/2641190.2641198","created_at":"2022-05-09T22:10:52.586Z","updated_at":"2022-05-09T22:13:12.036Z"},{"id":3359,"pubmed_id":null,"title":"OpenML: An R package to connect to the machine learning platform OpenML","year":2017,"url":"http://dx.doi.org/10.1007/s00180-017-0742-2","authors":"Casalicchio, Giuseppe; Bossek, Jakob; Lang, Michel; Kirchhoff, Dominik; Kerschke, Pascal; Hofner, Benjamin; Seibold, Heidi; Vanschoren, Joaquin; Bischl, Bernd; ","journal":"Comput Stat","doi":"10.1007/s00180-017-0742-2","created_at":"2022-05-09T22:18:34.934Z","updated_at":"2022-05-09T22:18:34.934Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2684,"relation":"applies_to_content"}],"grants":[{"id":3524,"fairsharing_record_id":2817,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:26:19.024Z","updated_at":"2021-09-30T09:26:19.024Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3525,"fairsharing_record_id":2817,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:26:19.057Z","updated_at":"2021-09-30T09:26:19.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2822","type":"fairsharing_records","attributes":{"created_at":"2019-09-16T11:33:22.000Z","updated_at":"2023-12-15T10:33:13.962Z","metadata":{"doi":"10.25504/FAIRsharing.SrP8P7","name":"Dynamic Ecological Information Management System - Site and Dataset Registry","status":"ready","contacts":[{"contact_name":"Christoph Wohner","contact_email":"christoph.wohner@umweltbundesamt.at","contact_orcid":"0000-0002-0655-3699"}],"homepage":"https://deims.org","citations":[{"publication_id":2563}],"identifier":2822,"description":"DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry) is an information management system for the discovery of long-term environmental research and monitoring facilities around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR includes metadata such as site location, ecosystem, facilities, parameters measured and research themes.","abbreviation":"DEIMS-SDR","data_curation":{"url":"https://eidc.ac.uk/support/dataManagement","type":"manual/automated"},"support_links":[{"url":"https://deims.org/contact","name":"Contact Form","type":"Help documentation"},{"url":"https://deims.org/docs/","name":"Documentation","type":"Help documentation"},{"url":"https://deims.org/models","name":"View Metadata Models","type":"Help documentation"},{"url":"https://deims.org/about","name":"About","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012910","name":"re3data:r3d100012910","portal":"re3data"}],"data_access_condition":{"url":"https://deims.org/about","type":"controlled"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://eidc.ac.uk/support/dataManagement","name":"Preservation plan"},"data_deposition_condition":{"url":"https://deims.org/about","type":"controlled","notes":"A message must be written to obtain an user account."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001321","bsg-d001321"],"name":"FAIRsharing record for: Dynamic Ecological Information Management System - Site and Dataset Registry","abbreviation":"DEIMS-SDR","url":"https://fairsharing.org/10.25504/FAIRsharing.SrP8P7","doi":"10.25504/FAIRsharing.SrP8P7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry) is an information management system for the discovery of long-term environmental research and monitoring facilities around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR includes metadata such as site location, ecosystem, facilities, parameters measured and research themes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Ecology","Ecosystem Science"],"domains":["Geographical location","Ecosystem","Monitoring"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":2563,"pubmed_id":null,"title":"DEIMS-SDR – A web portal to document research sites and their associated data.","year":2019,"url":"https://doi.org/10.1016/j.ecoinf.2019.01.005","authors":"Wohner, C., Peterseil, J., Poursanidis, D., Kliment, T., Wilson, M., Mirtl, M., \u0026 Chrysoulakis, N.","journal":"Ecological Informatics","doi":null,"created_at":"2021-09-30T08:27:14.328Z","updated_at":"2021-09-30T08:27:14.328Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2152,"relation":"undefined"},{"licence_name":"DEIMS-SDR Terms of Use","licence_id":232,"licence_url":"https://deims.org/terms","link_id":2153,"relation":"undefined"}],"grants":[{"id":3535,"fairsharing_record_id":2822,"organisation_id":1727,"relation":"maintains","created_at":"2021-09-30T09:26:19.354Z","updated_at":"2021-09-30T09:26:19.354Z","grant_id":null,"is_lead":false,"saved_state":{"id":1727,"name":"Long-Term Ecosystem Research in Europe (eLTER), Austria","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3537,"fairsharing_record_id":2822,"organisation_id":864,"relation":"funds","created_at":"2021-09-30T09:26:19.405Z","updated_at":"2021-09-30T09:26:19.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":864,"name":"ENVeurope, Italy","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3540,"fairsharing_record_id":2822,"organisation_id":871,"relation":"funds","created_at":"2021-09-30T09:26:19.480Z","updated_at":"2021-09-30T09:26:19.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":871,"name":"ENVRIplus, Finland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3534,"fairsharing_record_id":2822,"organisation_id":461,"relation":"maintains","created_at":"2021-09-30T09:26:19.331Z","updated_at":"2021-09-30T09:26:19.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":461,"name":"Centre for Ecology and Hydrology (CEH), Swindon, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3536,"fairsharing_record_id":2822,"organisation_id":1727,"relation":"funds","created_at":"2021-09-30T09:26:19.379Z","updated_at":"2021-09-30T09:26:19.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":1727,"name":"Long-Term Ecosystem Research in Europe (eLTER), Austria","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3538,"fairsharing_record_id":2822,"organisation_id":886,"relation":"funds","created_at":"2021-09-30T09:26:19.431Z","updated_at":"2021-09-30T09:26:19.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":886,"name":"EUDAT","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3539,"fairsharing_record_id":2822,"organisation_id":823,"relation":"funds","created_at":"2021-09-30T09:26:19.455Z","updated_at":"2021-09-30T09:26:19.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":823,"name":"Ecopotential","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3541,"fairsharing_record_id":2822,"organisation_id":976,"relation":"funds","created_at":"2021-09-30T09:26:19.516Z","updated_at":"2021-09-30T09:26:19.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":976,"name":"ExpeER","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2824","type":"fairsharing_records","attributes":{"created_at":"2019-08-27T18:57:15.000Z","updated_at":"2024-04-09T09:16:20.260Z","metadata":{"doi":"10.25504/FAIRsharing.SnTbUa","name":"MAR databases","status":"ready","contacts":[{"contact_name":"Nils Peder Willassen","contact_email":"nils-peder.willassen@uit.no","contact_orcid":"0000-0002-4397-8020"},{"contact_name":"Eirin Calhoun","contact_email":"erin.calhoun@uit.no","contact_orcid":null}],"homepage":"https://mmp2.sfb.uit.no/databases/","citations":[{"doi":"10.1093/nar/gkx1036","pubmed_id":29106641,"publication_id":2562}],"identifier":2824,"description":"The MAR databases is a collection of manually curated marine microbial contextual and sequence databases, based at the Marine Metagenomics Portal. This was developed as a part of the ELIXIR EXCELERATE project in 2017 and is maintained by The Center for Bioinformatics (SfB) at the UiT The Arctic University of Norway. SfB is hosting the UiT node of ELIXIR Norway. The MarRef, MarDb, MarFun and MarCat contextual databases are built by compiling data from a number of public available sequence, taxonomy and literature databases in a semi-automatic fashion.","abbreviation":"MAR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://mmp2.sfb.uit.no/terms-of-use/","name":"Terms of use","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","associated_tools":[{"url":"https://mmp2.sfb.uit.no/metapipe/","name":"META-pipe"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001323","bsg-d001323"],"name":"FAIRsharing record for: MAR databases","abbreviation":"MAR","url":"https://fairsharing.org/10.25504/FAIRsharing.SnTbUa","doi":"10.25504/FAIRsharing.SnTbUa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MAR databases is a collection of manually curated marine microbial contextual and sequence databases, based at the Marine Metagenomics Portal. This was developed as a part of the ELIXIR EXCELERATE project in 2017 and is maintained by The Center for Bioinformatics (SfB) at the UiT The Arctic University of Norway. SfB is hosting the UiT node of ELIXIR Norway. The MarRef, MarDb, MarFun and MarCat contextual databases are built by compiling data from a number of public available sequence, taxonomy and literature databases in a semi-automatic fashion.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Marine Biology"],"domains":["DNA sequence data","Genome annotation","Marine environment","Marine metagenome","Metagenome"],"taxonomies":["Bacteria","Fungi"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":2562,"pubmed_id":29106641,"title":"The MAR databases: development and implementation of databases specific for marine metagenomics","year":2017,"url":"http://doi.org/10.1093/nar/gkx1036","authors":"Klemetsen T, Raknes IA, Fu J, Agafonov A, Balasundaram SV, Tartari G, Robertsen E, Willassen NP","journal":"NAR","doi":"10.1093/nar/gkx1036","created_at":"2021-09-30T08:27:14.220Z","updated_at":"2021-09-30T08:27:14.220Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":331,"relation":"undefined"}],"grants":[{"id":3545,"fairsharing_record_id":2824,"organisation_id":2891,"relation":"maintains","created_at":"2021-09-30T09:26:19.613Z","updated_at":"2021-09-30T09:26:19.613Z","grant_id":null,"is_lead":true,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3547,"fairsharing_record_id":2824,"organisation_id":846,"relation":"funds","created_at":"2021-09-30T09:26:19.664Z","updated_at":"2021-09-30T09:29:00.581Z","grant_id":52,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","grant":"270068","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3548,"fairsharing_record_id":2824,"organisation_id":846,"relation":"maintains","created_at":"2021-09-30T09:26:19.687Z","updated_at":"2021-09-30T09:26:19.687Z","grant_id":null,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3543,"fairsharing_record_id":2824,"organisation_id":1262,"relation":"funds","created_at":"2021-09-30T09:26:19.564Z","updated_at":"2021-09-30T09:29:17.560Z","grant_id":180,"is_lead":false,"saved_state":{"id":1262,"name":"Horizon 2020 Programme of the European Union - EMBRIC","grant":"654008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3544,"fairsharing_record_id":2824,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:26:19.589Z","updated_at":"2021-09-30T09:31:00.384Z","grant_id":975,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"208481","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11588,"fairsharing_record_id":2824,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:17.992Z","updated_at":"2024-03-21T13:59:18.383Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2825","type":"fairsharing_records","attributes":{"created_at":"2019-09-19T14:57:20.000Z","updated_at":"2022-07-20T13:20:07.616Z","metadata":{"doi":"10.25504/FAIRsharing.O7UKUm","name":"Heart Diseases related Noncoding RNA Database","status":"deprecated","contacts":[{"contact_name":"Li Li","contact_email":"lilirz@tongji.edu.cn"}],"homepage":"http://hdncrna.cardiacdev.com","citations":[{"doi":"10.1093/database/bay067.","pubmed_id":30053237,"publication_id":2568}],"identifier":2825,"description":"The Heart Disease-related Non-coding RNAs Database (HDncRNA) provides information about common heart diseases and their related noncoding RNAs. The HDncRNA database contains manually annotated associations of ncRNAs with heart disease. Sources of data in this database are published articles, ncRNA databases and public RNA-seq datasets.","abbreviation":"HDncRNA","data_curation":{"type":"not found"},"support_links":[{"url":"https://hdncrna.cardiacdev.com/pages/help.html","name":"Help Manual","type":"Help documentation"},{"url":"https://hdncrna.cardiacdev.com/pages/about.html","name":"About","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","deprecation_date":"2021-9-21","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001325","bsg-d001325"],"name":"FAIRsharing record for: Heart Diseases related Noncoding RNA Database","abbreviation":"HDncRNA","url":"https://fairsharing.org/10.25504/FAIRsharing.O7UKUm","doi":"10.25504/FAIRsharing.O7UKUm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Heart Disease-related Non-coding RNAs Database (HDncRNA) provides information about common heart diseases and their related noncoding RNAs. The HDncRNA database contains manually annotated associations of ncRNAs with heart disease. Sources of data in this database are published articles, ncRNA databases and public RNA-seq datasets.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12849}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Genetics","Life Science"],"domains":["Expression data","Gene expression","RNA sequencing","Non-coding RNA","Long non-coding RNA","Heart","Cardiovascular disease"],"taxonomies":["Bos taurus","Canis lupus","Homo sapiens","Mus musculus","Rattus norvegicus","Sus scrofa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2568,"pubmed_id":30053237,"title":"HDncRNA: a comprehensive database of non-coding RNAs associated with heart diseases.","year":2018,"url":"http://doi.org/10.1093/database/bay067","authors":"Wang WJ,Wang YM,Hu Y,Lin Q,Chen R,Liu H,Cao WZ,Zhu HF,Tong C,Li L,Peng LY","journal":"Database (Oxford)","doi":"10.1093/database/bay067.","created_at":"2021-09-30T08:27:14.912Z","updated_at":"2021-09-30T08:27:14.912Z"}],"licence_links":[],"grants":[{"id":3550,"fairsharing_record_id":2825,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:26:19.739Z","updated_at":"2021-09-30T09:26:19.739Z","grant_id":null,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3551,"fairsharing_record_id":2825,"organisation_id":2866,"relation":"maintains","created_at":"2021-09-30T09:26:19.764Z","updated_at":"2021-09-30T09:26:19.764Z","grant_id":null,"is_lead":true,"saved_state":{"id":2866,"name":"Tongji University School of Medicine, Shanghai, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9311,"fairsharing_record_id":2825,"organisation_id":2053,"relation":"funds","created_at":"2022-04-11T12:07:29.551Z","updated_at":"2022-04-11T12:07:29.567Z","grant_id":343,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81670208","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2829","type":"fairsharing_records","attributes":{"created_at":"2019-09-09T13:25:20.000Z","updated_at":"2022-07-20T12:19:54.522Z","metadata":{"doi":"10.25504/FAIRsharing.ANR6qz","name":"BIOchemical PathwaY DataBase","status":"deprecated","contacts":[{"contact_name":"Ram Rup Sarkar","contact_email":"rr.sarkar@ncl.res.in","contact_orcid":"0000-0001-7115-163X"}],"homepage":"http://biopydb.ncl.res.in/biopydb/index.php","citations":[{"doi":"10.1515/jib-2017-0072","pubmed_id":29547394,"publication_id":2560}],"identifier":2829,"description":"BIOPYDB is a manually-curated database of human cell specific biochemical pathway data. The information within BIOPYDB is primarily extracted from published scientific literature and a selection of databases. The reconstructed pathways contain information about proteins, protein complexes, inorganic molecules, mutated and onco-proteins of signalling, disease and immunological pathways. Every molecule and interaction listed in the database contains at least one reference in a peer reviewed journal.","abbreviation":"BIOPYDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://biopydb.ncl.res.in/biopydb/contactform.html","name":"Feedback Form","type":"Contact form"},{"url":"biopydb@gmail.com","name":"General contact","type":"Support email"},{"url":"http://biopydb.ncl.res.in/biopydb/FAQ.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"http://biopydb.ncl.res.in/biopydb/ode_analysis.php","name":"Dynamic Analysis using ODEs"},{"url":"http://biopydb.ncl.res.in/boolean_app/index.php","name":"Logical Analysis"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001329","bsg-d001329"],"name":"FAIRsharing record for: BIOchemical PathwaY DataBase","abbreviation":"BIOPYDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ANR6qz","doi":"10.25504/FAIRsharing.ANR6qz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BIOPYDB is a manually-curated database of human cell specific biochemical pathway data. The information within BIOPYDB is primarily extracted from published scientific literature and a selection of databases. The reconstructed pathways contain information about proteins, protein complexes, inorganic molecules, mutated and onco-proteins of signalling, disease and immunological pathways. Every molecule and interaction listed in the database contains at least one reference in a peer reviewed journal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biochemistry","Proteomics","Life Science"],"domains":["Computational biological predictions","Signaling","Protein-containing complex","Mutation","High-throughput screening","Curated information","Disease","Biocuration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":2560,"pubmed_id":29547394,"title":"BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform.","year":2018,"url":"http://doi.org/10.1515/jib-2017-0072","authors":"Chowdhury S,Sinha N,Ganguli P,Bhowmick R,Singh V,Nandi S,Sarkar RR","journal":"J Integr Bioinform","doi":"10.1515/jib-2017-0072","created_at":"2021-09-30T08:27:14.003Z","updated_at":"2021-09-30T08:27:14.003Z"}],"licence_links":[],"grants":[{"id":3559,"fairsharing_record_id":2829,"organisation_id":499,"relation":"maintains","created_at":"2021-09-30T09:26:19.972Z","updated_at":"2021-09-30T09:26:19.972Z","grant_id":null,"is_lead":true,"saved_state":{"id":499,"name":"Chemical Engineering and Processing Development (CEPD), CSIR-National Chemical Laboratory, Pune, India","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3557,"fairsharing_record_id":2829,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:26:19.923Z","updated_at":"2021-09-30T09:31:35.542Z","grant_id":1239,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","grant":"10.13039/501100001412 (BSC0114)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8458,"fairsharing_record_id":2829,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:32:43.735Z","updated_at":"2021-09-30T09:32:43.791Z","grant_id":1751,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","grant":"10.13039/501100001412 (BSC0121)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3558,"fairsharing_record_id":2829,"organisation_id":2550,"relation":"funds","created_at":"2021-09-30T09:26:19.950Z","updated_at":"2021-09-30T09:32:04.620Z","grant_id":1457,"is_lead":false,"saved_state":{"id":2550,"name":"SERB, Ministry of Science and Technology, Government of India","grant":"Funder Id: 10.13039/501100001843 - No. EMR/2016/000516","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2843","type":"fairsharing_records","attributes":{"created_at":"2019-11-19T13:55:56.000Z","updated_at":"2023-12-15T10:29:05.312Z","metadata":{"doi":"10.25504/FAIRsharing.2c9d3c","name":"Mouse Models of Human Cancer Database","status":"ready","contacts":[{"contact_name":"CJ Bult","contact_email":"carol.bult@jax.org"}],"homepage":"http://tumor.informatics.jax.org/mtbwi/index.do","citations":[{"doi":"10.1158/0008-5472.CAN-17-0584","pubmed_id":29092943,"publication_id":2628}],"identifier":2843,"description":"The Mouse Tumor Biology (MTB) Database supports the use of the mouse as a model system of human cancers by providing access to information on and data for: spontaneous and induced tumors in mice, genetically defined mice (inbred, hybrid, mutant, and genetically engineered strains of mice) in which tumors arise, genetic factors associated with tumor susceptibility in mice, somatic genetic-mutations observed in tumors, and Patient Derived Xenograft (PDX) models.","abbreviation":"MMHCdb","data_curation":{"url":"https://tumor.informatics.jax.org/mtbwi/index.do","type":"manual","notes":"MMHCdb is a comprehensive, expertly curated resource"},"support_links":[{"url":"http://tumor.informatics.jax.org/mtbwi/userHelp.jsp","name":"Help Pages","type":"Help documentation"},{"url":"http://tumor.informatics.jax.org/mtbwi/news-events.jsp","type":"Blog/News"},{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","type":"Contact form"},{"url":"https://www.github.com/mgijax/mtb-wi","name":"MMHCdb Web Interface","type":"Github"},{"url":"https://www.github.com/mgijax/mtb-dao","name":"MMHCdb Data Layer","type":"Github"},{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","name":"MMHCdb Web interface","type":"Github"},{"url":"http://www.informatics.jax.org/mgihome/lists/lists.shtml","type":"Forum"}],"year_creation":1998,"data_versioning":"no","associated_tools":[{"url":"http://tumor.informatics.jax.org/mtbwi/dynamicGrid.do","name":"Dynamic Tumor Frequency Grid"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011907","name":"re3data:r3d100011907","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006517","name":"SciCrunch:RRID:SCR_006517","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://tumor.informatics.jax.org/mtbwi/userHelp.jsp","type":"controlled","notes":"Contact User Support to request a consultation with an MMHCdb Biocuration Scientist about submitting."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001344","bsg-d001344"],"name":"FAIRsharing record for: Mouse Models of Human Cancer Database","abbreviation":"MMHCdb","url":"https://fairsharing.org/10.25504/FAIRsharing.2c9d3c","doi":"10.25504/FAIRsharing.2c9d3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mouse Tumor Biology (MTB) Database supports the use of the mouse as a model system of human cancers by providing access to information on and data for: spontaneous and induced tumors in mice, genetically defined mice (inbred, hybrid, mutant, and genetically engineered strains of mice) in which tumors arise, genetic factors associated with tumor susceptibility in mice, somatic genetic-mutations observed in tumors, and Patient Derived Xenograft (PDX) models.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Pathology"],"domains":["Cancer","Tumor","Histology"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2628,"pubmed_id":29092943,"title":"The Mouse Tumor Biology Database: A Comprehensive Resource for Mouse Models of Human Cancer.","year":2017,"url":"http://doi.org/10.1158/0008-5472.CAN-17-0584","authors":"Krupke DM,Begley DA,Sundberg JP,Richardson JE,Neuhauser SB,Bult CJ","journal":"Cancer Res","doi":"10.1158/0008-5472.CAN-17-0584","created_at":"2021-09-30T08:27:22.663Z","updated_at":"2021-09-30T08:27:22.663Z"},{"id":2629,"pubmed_id":18432250,"title":"The Mouse Tumor Biology database.","year":2008,"url":"http://doi.org/10.1038/nrc2390","authors":"Krupke DM,Begley DA,Sundberg JP,Bult CJ,Eppig JT","journal":"Nat Rev Cancer","doi":"10.1038/nrc2390","created_at":"2021-09-30T08:27:22.779Z","updated_at":"2021-09-30T08:27:22.779Z"}],"licence_links":[{"licence_name":"MTB Copyright Notice","licence_id":530,"licence_url":"http://tumor.informatics.jax.org/mtbwi/copyright.jsp","link_id":701,"relation":"undefined"}],"grants":[{"id":8592,"fairsharing_record_id":2843,"organisation_id":2035,"relation":"funds","created_at":"2021-11-11T09:55:16.161Z","updated_at":"2021-11-11T09:55:16.161Z","grant_id":1819,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NCI R01 CA89713","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3592,"fairsharing_record_id":2843,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:26:20.638Z","updated_at":"2021-09-30T09:26:20.638Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2844","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T03:44:37.000Z","updated_at":"2024-03-05T14:23:59.455Z","metadata":{"doi":"10.25504/FAIRsharing.V527H4","name":"Center for Expanded Data Annotation and Retrieval Workbench","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu","contact_orcid":"0000-0001-6875-5360"},{"contact_name":"Metadata Center Contact","contact_email":"cedar-news@metadatacenter.org","contact_orcid":null}],"homepage":"https://metadatacenter.org/","citations":[{"doi":"10.1093/jamia/ocv048","pubmed_id":26112029,"publication_id":583}],"identifier":2844,"description":"The Center for Expanded Data Annotation and Retrieval (CEDAR) Workbench is a database of metadata templates that define the data elements needed to describe particular types of biomedical experiments. The templates include controlled terms and synonyms for specific data elements. CEDAR is an end-to-end process that enables community-based organizations to collaborate to create metadata templates, investigators or curators to use the templates to define the metadata for individual experiments, and scientists to search the metadata to access and analyze the corresponding online datasets. ","abbreviation":"CEDAR Workbench","data_curation":{"type":"not found"},"support_links":[{"url":"https://metadatacenter.org/help/","name":"Help Pages","type":"Help documentation"},{"url":"https://metadatacenter.org/category/happenings/","type":"Blog/News"},{"url":"https://metadatacenter.org/publications/","name":"CEDAR Publications","type":"Help documentation"},{"url":"https://twitter.com/metadatacenter","name":"@metadatacenter","type":"Twitter"},{"url":"https://www.facebook.com/MetadataCenter/","name":"@MetadataCenter","type":"Facebook"},{"url":"https://www.youtube.com/channel/UCO3MPDH9cD4L8fA-tZ1LB7A","name":"CEDAR on Youtube","type":"Video"},{"url":"https://metadatacenter.org/help/#subscribe","type":"Mailing list"},{"url":"http://github.com/metadatacenter","name":"Metadata Center on GitHub","type":"Github"},{"url":"https://metadatacenter.org/tools-training/outreach/cedar-template-model","name":"CEDAR Template Model","type":"Help documentation"},{"url":"https://more.metadatacenter.org/research/analytics-driven","name":"CEDAR Analytic Engine","type":"Training documentation"},{"url":"http://cedar-dev.stanford.edu/about-us/feedback","name":"CEDAR Feedback","type":"Contact form"},{"url":"https://metadatacenter.org/tools-training/orientation","name":"Getting Started","type":"Training documentation"},{"url":"https://more.metadatacenter.org/purpose/scenarios","name":"CEDAR User Scenarios","type":"Training documentation"},{"url":"https://immport.niaid.nih.gov/","name":"Immunology Database and Analysis Portal","type":"Other"},{"url":"https://mailman.stanford.edu/mailman/listinfo/cedar-developers","name":"CEDAR Developers Contact Form","type":"Contact form"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"https://cedar.metadatacenter.org","name":"CEDAR Workbench"},{"url":"https://www.dropwizard.io/en/latest/","name":"Dropwizard Java Framework"},{"url":"https://angularjs.org/","name":"AngularJS HTML Vocabulary"},{"url":"https://auth.zenhub.com/login?state=hKFo2SBNb3V6cUdwUXRWaG9WRHhHblpBa0FBUG1uaE52VjVlRaFupWxvZ2luo3RpZNkgVnlxS0xQbmljb0ZiX3h1ekEtTllKRVo5UkI5V0dSRlqjY2lk2SBJcWRRaktTSkI0bDkzMDB2ekJIMFRZRTlyd2pOdk5GTQ\u0026client=IqdQjKSJB4l9300vzBH0TYE9rwjNvNFM\u0026protocol=oauth2\u0026audience=https%3A%2F%2Fzenhub.us.auth0.com%2Fapi%2Fv2%2F\u0026issuer=https%3A%2F%2Fauth.zenhub.com%2F\u0026scope=openid%20profile%20email%20read%3Acurrent_user%20update%3Acurrent_user_metadata\u0026redirect_uri=https%3A%2F%2Fapp.zenhub.com%2Fplatform\u0026screen_hint=login\u0026app_url=https%3A%2F%2Fapp.zenhub.com\u0026api_url=https%3A%2F%2Fapi.zenhub.com\u0026workspaceName=Cedar%20features\u0026isMissingAccount=false\u0026response_type=code\u0026response_mode=query\u0026nonce=cjZES35pSncuVnhoLlBGTDd1bEh1blp%2BMmltRXg3WHJJNEQ4Rjc2WENKUg%3D%3D\u0026code_challenge=xZAWrhgYsxiDUGbdIXbjeNEOrpWfyPnrkLTK38cYBwk\u0026code_challenge_method=S256\u0026auth0Client=eyJuYW1lIjoiYXV0aDAtcmVhY3QiLCJ2ZXJzaW9uIjoiMS4xMC4xIn0%3D","name":"CEDAR ZenHub"}],"data_access_condition":{"type":"controlled","notes":"Login required"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001345","bsg-d001345"],"name":"FAIRsharing record for: Center for Expanded Data Annotation and Retrieval Workbench","abbreviation":"CEDAR Workbench","url":"https://fairsharing.org/10.25504/FAIRsharing.V527H4","doi":"10.25504/FAIRsharing.V527H4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Center for Expanded Data Annotation and Retrieval (CEDAR) Workbench is a database of metadata templates that define the data elements needed to describe particular types of biomedical experiments. The templates include controlled terms and synonyms for specific data elements. CEDAR is an end-to-end process that enables community-based organizations to collaborate to create metadata templates, investigators or curators to use the templates to define the metadata for individual experiments, and scientists to search the metadata to access and analyze the corresponding online datasets. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Integration","Data Governance"],"domains":["Resource metadata","Experimental measurement","Protocol","Study design","Machine learning","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":["Semantic"],"countries":["United States"],"publications":[{"id":583,"pubmed_id":26112029,"title":"The center for expanded data annotation and retrieval.","year":2015,"url":"http://doi.org/10.1093/jamia/ocv048","authors":"Musen MA,Bean CA,Cheung KH,Dumontier M,Durante KA,Gevaert O,Gonzalez-Beltran A,Khatri P,Kleinstein SH,O'Connor MJ,Pouliot Y,Rocca-Serra P,Sansone SA,Wiser JA","journal":"J Am Med Inform Assoc","doi":"10.1093/jamia/ocv048","created_at":"2021-09-30T08:23:23.843Z","updated_at":"2021-09-30T08:23:23.843Z"},{"id":3271,"pubmed_id":null,"title":"The CEDAR Workbench: An Ontology-Assisted Environment for Authoring Metadata that Describe Scientific Experiments","year":2017,"url":"http://dx.doi.org/10.1007/978-3-319-68204-4_10","authors":"Gonçalves, Rafael S.; O’Connor, Martin J.; Martínez-Romero, Marcos; Egyedi, Attila L.; Willrett, Debra; Graybeal, John; Musen, Mark A.; ","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-319-68204-4_10","created_at":"2022-03-25T10:28:50.461Z","updated_at":"2022-03-25T10:28:50.461Z"}],"licence_links":[],"grants":[{"id":3594,"fairsharing_record_id":2844,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:26:20.672Z","updated_at":"2021-09-30T09:26:20.672Z","grant_id":null,"is_lead":true,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3593,"fairsharing_record_id":2844,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:26:20.655Z","updated_at":"2021-09-30T09:28:53.307Z","grant_id":1,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"1U54AI117925","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2845","type":"fairsharing_records","attributes":{"created_at":"2019-11-01T10:09:29.000Z","updated_at":"2023-12-15T10:31:24.317Z","metadata":{"doi":"10.25504/FAIRsharing.rgcsW6","name":"Chlamydiae Database","status":"ready","contacts":[{"contact_name":"Trestan Pillonel","contact_email":"trestan.pillonel@chuv.ch","contact_orcid":"0000-0002-5725-7929"}],"homepage":"https://www.chlamdb.ch/","citations":[{"doi":"gkz924","pubmed_id":31665454,"publication_id":2605}],"identifier":2845,"description":"ChlamDB is a comparative genomics database covering the entire Chlamydiae phylum as well as their closest relatives belonging to the Planctomycetes-Verrucomicrobiae-Chlamydiae (PVC) superphylum. Genomes can be compared, analyzed and retrieved using accessions numbers of the most widely used databases including COG, KEGG ortholog, KEGG pathway, KEGG module, Pfam and InterPro. Candidate effectors of the Type III secretion system (T3SS) were identified using four in silico methods. The identification of orthologs among all PVC genomes allows users to perform large-scale comparative analyses and to identify orthologs of any protein in all genomes integrated in the database. Phylogenetic relationships of PVC proteins and their closest homologs in RefSeq, comparison of transmembrane domains and Pfam domains, conservation of gene neighborhood and taxonomic profiles can be visualized using dynamically generated graphs, available for download. As a central resource for researchers working on chlamydia, chlamydia-related bacteria, verrucomicrobia and planctomyces, ChlamDB facilitates the access to comprehensive annotations and integrates multiple tools for comparative genomic analyses.","abbreviation":"ChlamDB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://github.com/metagenlab/chlamdb/issues","name":"Report an Issue","type":"Github"},{"url":"https://www.chlamdb.ch/docs/index.html","name":"Documentation","type":"Help documentation"},{"url":"https://www.chlamdb.ch/about","name":"About ChlamDB","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://chlamdb.ch/blast/","name":"BLAST"},{"url":"https://chlamdb.ch/plot_region/","name":"Plot Genomic Region"},{"url":"https://chlamdb.ch/circos/","name":"Circos Plots"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001346","bsg-d001346"],"name":"FAIRsharing record for: Chlamydiae Database","abbreviation":"ChlamDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rgcsW6","doi":"10.25504/FAIRsharing.rgcsW6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChlamDB is a comparative genomics database covering the entire Chlamydiae phylum as well as their closest relatives belonging to the Planctomycetes-Verrucomicrobiae-Chlamydiae (PVC) superphylum. Genomes can be compared, analyzed and retrieved using accessions numbers of the most widely used databases including COG, KEGG ortholog, KEGG pathway, KEGG module, Pfam and InterPro. Candidate effectors of the Type III secretion system (T3SS) were identified using four in silico methods. The identification of orthologs among all PVC genomes allows users to perform large-scale comparative analyses and to identify orthologs of any protein in all genomes integrated in the database. Phylogenetic relationships of PVC proteins and their closest homologs in RefSeq, comparison of transmembrane domains and Pfam domains, conservation of gene neighborhood and taxonomic profiles can be visualized using dynamically generated graphs, available for download. As a central resource for researchers working on chlamydia, chlamydia-related bacteria, verrucomicrobia and planctomyces, ChlamDB facilitates the access to comprehensive annotations and integrates multiple tools for comparative genomic analyses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12857}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Phylogenomics","Comparative Genomics"],"domains":["Protein domain","Conserved region","Homologous","Orthologous","Genome"],"taxonomies":["Chlamydia","Chlamydiae","Planctomycetes","PVC superphylum","Verrucomicrobia"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2605,"pubmed_id":31665454,"title":"ChlamDB: a comparative genomics database of the phylum Chlamydiae and other members of the Planctomycetes-Verrucomicrobiae-Chlamydiae superphylum.","year":2019,"url":"http://doi.org/10.1093/nar/gkz924","authors":"Pillonel T,Tagini F,Bertelli C,Greub G","journal":"Nucleic Acids Research","doi":"gkz924","created_at":"2021-09-30T08:27:19.751Z","updated_at":"2021-09-30T11:29:40.411Z"}],"licence_links":[],"grants":[{"id":3595,"fairsharing_record_id":2845,"organisation_id":1426,"relation":"maintains","created_at":"2021-09-30T09:26:20.688Z","updated_at":"2021-09-30T09:26:20.688Z","grant_id":null,"is_lead":true,"saved_state":{"id":1426,"name":"Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Switzerland","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2819","type":"fairsharing_records","attributes":{"created_at":"2019-08-20T16:04:48.000Z","updated_at":"2023-12-15T10:31:14.101Z","metadata":{"doi":"10.25504/FAIRsharing.EGn1ut","name":"WALTZ-DB 2.0","status":"ready","contacts":[{"contact_name":"Nikolaos Louros","contact_email":"nikolaos.louros@kuleuven.vib.be","contact_orcid":"0000-0002-4030-1022"}],"homepage":"http://waltzdb.switchlab.org","citations":[{"publication_id":2546}],"identifier":2819,"description":"WALTZ-DB 2.0 is a database for characterizing short peptides for their amyloid fiber-forming capacities. The majority of the data comes from electron microscopy, FTIR and Thioflavin-T experiments done by the Switch lab. Apart from that class of data we also provide the amyloid annotation for several other short peptides found in current scientific research papers. Structural models of the potential amyloid cores are provided for every peptide entry.","abbreviation":"WALTZ-DB 2.0","data_curation":{"type":"manual"},"support_links":[{"url":"http://waltzdb.switchlab.org/contact","name":"Contact form","type":"Contact form"},{"url":"http://waltzdb.switchlab.org/help","name":"Documentation","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001318","bsg-d001318"],"name":"FAIRsharing record for: WALTZ-DB 2.0","abbreviation":"WALTZ-DB 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.EGn1ut","doi":"10.25504/FAIRsharing.EGn1ut","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WALTZ-DB 2.0 is a database for characterizing short peptides for their amyloid fiber-forming capacities. The majority of the data comes from electron microscopy, FTIR and Thioflavin-T experiments done by the Switch lab. Apart from that class of data we also provide the amyloid annotation for several other short peptides found in current scientific research papers. Structural models of the potential amyloid cores are provided for every peptide entry.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12848}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomaterials","Biochemistry","Bioinformatics","Structural Biology","Biophysics","Computational Biology","Biology"],"domains":["Molecular structure","Peptide identification","Protein structure","Peptide library","Electron microscopy","Protein Analysis","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":["Amyloid","Protein aggregation","Steric zippers"],"countries":["Belgium"],"publications":[{"id":2546,"pubmed_id":null,"title":"WALTZ-DB 2.0: An updated database containing structural information of experimentally determined amyloid-forming peptides","year":2019,"url":"https://doi.org/10.1093/nar/gkz758","authors":"Nikolaos Louros, Katerina Konstantoulea, Matthias De Vleeschouwer, Meine Ramakers, Joost Schymkowitz and Frederic Rousseau","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:27:12.195Z","updated_at":"2021-09-30T11:28:36.587Z"}],"licence_links":[],"grants":[{"id":3528,"fairsharing_record_id":2819,"organisation_id":2690,"relation":"maintains","created_at":"2021-09-30T09:26:19.175Z","updated_at":"2021-09-30T09:26:19.175Z","grant_id":null,"is_lead":true,"saved_state":{"id":2690,"name":"Switch Laboratory","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3527,"fairsharing_record_id":2819,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:19.136Z","updated_at":"2021-09-30T09:30:16.321Z","grant_id":630,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"647458","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9334,"fairsharing_record_id":2819,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:31.119Z","updated_at":"2022-04-11T12:07:31.138Z","grant_id":186,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"12P0919N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2820","type":"fairsharing_records","attributes":{"created_at":"2019-09-10T21:10:05.000Z","updated_at":"2023-12-15T10:30:13.718Z","metadata":{"doi":"10.25504/FAIRsharing.2VADoR","name":"The Data Platform for Plasma Technology","status":"ready","contacts":[{"contact_name":"Markus Becker","contact_email":"markus.becker@inp-greifswald.de","contact_orcid":"0000-0001-9324-3236"}],"homepage":"https://www.inptdat.de","citations":[],"identifier":2820,"description":"The interdisciplinary data platform INPTDAT provides easy access to research data and information from all fields of applied plasma physics and plasma medicine. It aims to support the findability, accessibility, interoperability and re-use of data for the low-temperature plasma physics community.","abbreviation":"INPTDAT","data_curation":{"url":"https://www.inptdat.de/about","type":"manual"},"support_links":[{"url":"https://inptdat.de/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.inptdat.de/about","name":"About","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://getdkan.org","name":"dkan"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013120","name":"re3data:r3d100013120","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.inptdat.de/add-dataset","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001319","bsg-d001319"],"name":"FAIRsharing record for: The Data Platform for Plasma Technology","abbreviation":"INPTDAT","url":"https://fairsharing.org/10.25504/FAIRsharing.2VADoR","doi":"10.25504/FAIRsharing.2VADoR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The interdisciplinary data platform INPTDAT provides easy access to research data and information from all fields of applied plasma physics and plasma medicine. It aims to support the findability, accessibility, interoperability and re-use of data for the low-temperature plasma physics community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Atomic, Molecular, Optical and Plasma Physics","Physical Chemistry","Materials Science","Medical Physics"],"domains":["Bioactivity","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1123,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1124,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1125,"relation":"undefined"}],"grants":[{"id":3531,"fairsharing_record_id":2820,"organisation_id":1698,"relation":"maintains","created_at":"2021-09-30T09:26:19.254Z","updated_at":"2021-09-30T09:26:19.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":1698,"name":"Leibniz Institute for Plasma Science and Technology","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3530,"fairsharing_record_id":2820,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:26:19.230Z","updated_at":"2021-09-30T09:32:34.066Z","grant_id":1677,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"16FDM005","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2864","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T23:19:55.000Z","updated_at":"2023-12-15T10:27:24.922Z","metadata":{"doi":"10.25504/FAIRsharing.pS2p8c","name":"UNC Dataverse","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"odumarchive@unc.edu"}],"homepage":"https://dataverse.unc.edu/","citations":[],"identifier":2864,"description":"UNC Dataverse is a research data repository hosted by the Odum Institute at the University of North Carolina at Chapel Hill. UNC Dataverse is an open access repository that accepts data deposits from individual researchers, research groups, institutions, journals, and other entities from all disciplinary domains. UNC Dataverse offers value-added features that support archiving, discovery, and sharing of research data that align with FAIR principles for findable, accessible, interoperable, reusable data.","abbreviation":"UNC Dataverse","data_curation":{"type":"not found"},"support_links":[{"url":"odumarchive@unc.edu","name":"UNC Dataverse Support","type":"Support email"},{"url":"https://odum.unc.edu/archive/","name":"About","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000005","name":"re3data:r3d100000005","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://odum.unc.edu/wp-content/uploads/sites/1060/2020/01/Policy_DigitalPreservation_2020200124.pdf","name":"Digital preservation policy"},"data_deposition_condition":{"url":"https://dataverse.unc.edu/","type":"controlled","notes":"UNC researchers only"},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://www.coretrustseal.org/wp-content/uploads/2020/10/Odum-Institute-Data-Archive.pdf","name":"Core Trust Seal"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001365","bsg-d001365"],"name":"FAIRsharing record for: UNC Dataverse","abbreviation":"UNC Dataverse","url":"https://fairsharing.org/10.25504/FAIRsharing.pS2p8c","doi":"10.25504/FAIRsharing.pS2p8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UNC Dataverse is a research data repository hosted by the Odum Institute at the University of North Carolina at Chapel Hill. UNC Dataverse is an open access repository that accepts data deposits from individual researchers, research groups, institutions, journals, and other entities from all disciplinary domains. UNC Dataverse offers value-added features that support archiving, discovery, and sharing of research data that align with FAIR principles for findable, accessible, interoperable, reusable data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Citation","Publication","Data storage"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3117,"relation":"applies_to_content"},{"licence_name":"UNC Dataverse Terms of Use","licence_id":816,"licence_url":"https://odum.unc.edu/files/2017/05/Policy_UNCDataverseTermsofUse_20170501.pdf","link_id":2060,"relation":"undefined"}],"grants":[{"id":3632,"fairsharing_record_id":2864,"organisation_id":3107,"relation":"funds","created_at":"2021-09-30T09:26:21.884Z","updated_at":"2021-09-30T09:26:21.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3633,"fairsharing_record_id":2864,"organisation_id":1293,"relation":"maintains","created_at":"2021-09-30T09:26:21.917Z","updated_at":"2021-09-30T09:26:21.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":1293,"name":"H. W. Odum Institute for Research in Social Science","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2865","type":"fairsharing_records","attributes":{"created_at":"2019-12-03T10:57:42.000Z","updated_at":"2023-12-15T10:31:28.966Z","metadata":{"doi":"10.25504/FAIRsharing.VXoFLf","name":"Domain-centric GO","status":"ready","contacts":[{"contact_name":"Dr. Hai Fang","contact_email":"hfang@cs.bris.ac.uk"}],"homepage":"http://supfam.org/SUPERFAMILY/dcGO/index.html","citations":[{"doi":"10.1093/nar/gks1080","publication_id":2642}],"identifier":2865,"description":"Domain-centric GO provides associations between ontological terms and protein domains at the superfamily and family levels. Some functional units consist of more than one domain acting together or acting at an interface between domains; therefore, ontological terms associated with pairs of domains, triplets and longer supra-domains are also provided.","abbreviation":"dcGO","data_curation":{"type":"not found"},"support_links":[{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcalgorithm.cgi","name":"Algorithm details","type":"Help documentation"},{"url":"http://supfam.org/SUPERFAMILY/dcGO/background.html","name":"Background","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcpredictormain.cgi","name":"dcGO Predictor"},{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcenrichment.cgi","name":"dcGO Enrichment"},{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcpevo.cgi","name":"dcGO Pevo"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001366","bsg-d001366"],"name":"FAIRsharing record for: Domain-centric GO","abbreviation":"dcGO","url":"https://fairsharing.org/10.25504/FAIRsharing.VXoFLf","doi":"10.25504/FAIRsharing.VXoFLf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Domain-centric GO provides associations between ontological terms and protein domains at the superfamily and family levels. Some functional units consist of more than one domain acting together or acting at an interface between domains; therefore, ontological terms associated with pairs of domains, triplets and longer supra-domains are also provided.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12862}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics"],"domains":["Functional domain","Protein domain","Annotation","Sequence annotation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2642,"pubmed_id":null,"title":"dcGO: database of domain-centric ontologies on functions, phenotypes, diseases and more","year":2013,"url":"http://doi.org/10.1093/nar/gks1080","authors":"Hai Fang, Julian Gough","journal":"Nucleic Acids Research, Volume 41, Issue D1, Pages D536–D544","doi":"10.1093/nar/gks1080","created_at":"2021-09-30T08:27:24.454Z","updated_at":"2021-09-30T08:27:24.454Z"}],"licence_links":[],"grants":[{"id":3634,"fairsharing_record_id":2865,"organisation_id":700,"relation":"maintains","created_at":"2021-09-30T09:26:21.943Z","updated_at":"2021-09-30T09:26:21.943Z","grant_id":null,"is_lead":true,"saved_state":{"id":700,"name":"Department of Computer Science, University of Bristol, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3635,"fairsharing_record_id":2865,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:21.966Z","updated_at":"2021-09-30T09:32:10.810Z","grant_id":1504,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBSRC Tools and Resources Development Fund: BB/L018543/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2866","type":"fairsharing_records","attributes":{"created_at":"2019-12-03T14:02:09.000Z","updated_at":"2023-03-09T18:50:40.903Z","metadata":{"doi":"10.25504/FAIRsharing.CFLgLo","name":"Chickspress","status":"deprecated","contacts":[{"contact_email":"agbase@email.arizona.edu"}],"homepage":"http://geneatlas.arl.arizona.edu/","citations":[{"doi":"10.1093/database/baz058","pubmed_id":31210271,"publication_id":2643}],"identifier":2866,"description":"Chickspress is a gene expression database for chicken tissues. Chickspress incorporates both NCBI and Ensembl gene models and links these gene sets with experimental gene expression data and QTL information. By linking gene models from both NCBI and Ensembl gene prediction pipelines, researchers can compare gene models from each of these prediction workflows to available experimental data. We use Chickspress data to show the differences between these gene annotation pipelines. Chickspress also provides rapid search, visualization and download capacity for chicken gene sets based upon tissue type, developmental stage and experiment type. Chickspress includes a core set of Red Jungle Fowl RNA and peptide data collected across multiple tissues from both male and female birds and public expression data sets.","abbreviation":"Chickspress","data_curation":{"type":"not found"},"support_links":[{"url":"fionamcc@email.arizona.edu","name":"Fiona M McCarthy","type":"Support email"},{"url":"http://geneatlas.arl.arizona.edu/sra_data.php","name":"Links to SRA data","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001367","bsg-d001367"],"name":"FAIRsharing record for: Chickspress","abbreviation":"Chickspress","url":"https://fairsharing.org/10.25504/FAIRsharing.CFLgLo","doi":"10.25504/FAIRsharing.CFLgLo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chickspress is a gene expression database for chicken tissues. Chickspress incorporates both NCBI and Ensembl gene models and links these gene sets with experimental gene expression data and QTL information. By linking gene models from both NCBI and Ensembl gene prediction pipelines, researchers can compare gene models from each of these prediction workflows to available experimental data. We use Chickspress data to show the differences between these gene annotation pipelines. Chickspress also provides rapid search, visualization and download capacity for chicken gene sets based upon tissue type, developmental stage and experiment type. Chickspress includes a core set of Red Jungle Fowl RNA and peptide data collected across multiple tissues from both male and female birds and public expression data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Proteomics"],"domains":["Expression data","Computational biological predictions","Gene prediction","MicroRNA expression analysis","Gene expression","Protein expression","RNA sequencing","Messenger RNA","Micro RNA","Gene","Tissue"],"taxonomies":["Gallus gallus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2643,"pubmed_id":31210271,"title":"Chickspress: a resource for chicken gene expression.","year":2019,"url":"http://doi.org/baz058","authors":"McCarthy FM,Pendarvis K,Cooksey AM,Gresham CR,Bomhoff M,Davey S,Lyons E,Sonstegard TS,Bridges SM,Burgess SC","journal":"Database (Oxford)","doi":"10.1093/database/baz058","created_at":"2021-09-30T08:27:24.563Z","updated_at":"2021-09-30T08:27:24.563Z"}],"licence_links":[],"grants":[{"id":3641,"fairsharing_record_id":2866,"organisation_id":694,"relation":"maintains","created_at":"2021-09-30T09:26:22.125Z","updated_at":"2021-09-30T09:26:22.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":694,"name":"Department of Computer Science and Engineering, Mississippi State University, Starkville, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3637,"fairsharing_record_id":2866,"organisation_id":2506,"relation":"maintains","created_at":"2021-09-30T09:26:22.016Z","updated_at":"2021-09-30T09:26:22.016Z","grant_id":null,"is_lead":true,"saved_state":{"id":2506,"name":"School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3638,"fairsharing_record_id":2866,"organisation_id":1415,"relation":"maintains","created_at":"2021-09-30T09:26:22.051Z","updated_at":"2021-09-30T09:26:22.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":1415,"name":"Institute of Genomics, Biocomputing \u0026 Biotechnology, Mississippi State University, Starkville, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3639,"fairsharing_record_id":2866,"organisation_id":2518,"relation":"maintains","created_at":"2021-09-30T09:26:22.075Z","updated_at":"2021-09-30T09:26:22.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2518,"name":"School of Plant Sciences, University of Arizona, Tucson, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3640,"fairsharing_record_id":2866,"organisation_id":2933,"relation":"maintains","created_at":"2021-09-30T09:26:22.100Z","updated_at":"2021-09-30T09:26:22.100Z","grant_id":null,"is_lead":false,"saved_state":{"id":2933,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Beltsville Agricultural Research Center, Beltsville, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3636,"fairsharing_record_id":2866,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:26:21.993Z","updated_at":"2021-09-30T09:29:28.937Z","grant_id":264,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"2011-67015-30332","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3642,"fairsharing_record_id":2866,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:22.151Z","updated_at":"2021-09-30T09:32:40.714Z","grant_id":1729,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R24 GM079326","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2867","type":"fairsharing_records","attributes":{"created_at":"2019-12-04T08:11:42.000Z","updated_at":"2023-12-15T10:32:28.988Z","metadata":{"doi":"10.25504/FAIRsharing.BnLUyq","name":"Plant Genome Integrative Explorer","status":"ready","contacts":[{"contact_name":"Nathaniel Street","contact_email":"contact@plantgenie.org","contact_orcid":"0000-0001-6031-005X"}],"homepage":"https://plantgenie.org","citations":[{"doi":"10.1111/nph.13557","pubmed_id":26192091,"publication_id":2663}],"identifier":2867,"description":"The Plant Genome Integrative Explorer is a collection of interoperable web resources for searching, visualising and analysing genomics and transcriptomics data for different plant species. Currently, it includes dedicated web portals for enabling in-depth exploration of Poplar, Eucalyptus Norway spruce, and Arabidopsis and few more plant species. The PlantGenIE platform is based on the GenIE-Sys ( Genome Integrative Explorer System).","abbreviation":"PlantGenIE","data_curation":{"type":"not found"},"support_links":[{"url":"contact@plantgenie.org","name":"Contact PlantGenIE","type":"Support email"},{"url":"https://plantgenie.org/help/tool_id/blast/","name":"Help","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://congenie.org/blast","name":"BLAST"},{"url":"http://congenie.org/citation?genelist=enable","name":"Gene List"},{"url":"http://congenie.org/gbrowse","name":"GBrowse"},{"url":"http://congenie.org/jbrowse","name":"JBrowse"},{"url":"http://congenie.org/random_gene_list","name":"Random Gene List"},{"url":"http://congenie.org/eximage","name":"exImage"},{"url":"http://congenie.org/exnet","name":"exNet"},{"url":"http://congenie.org/explot","name":"exPlot"},{"url":"http://congenie.org/exheatmap","name":"exHeatmap"},{"url":"http://congenie.org/enrichment","name":"Enrichment"},{"url":"http://complex.plantgenie.org/","name":"ComPlEx"},{"url":"http://galaxy.plantgenie.org:8080/","name":"Galaxy"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001368","bsg-d001368"],"name":"FAIRsharing record for: Plant Genome Integrative Explorer","abbreviation":"PlantGenIE","url":"https://fairsharing.org/10.25504/FAIRsharing.BnLUyq","doi":"10.25504/FAIRsharing.BnLUyq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Genome Integrative Explorer is a collection of interoperable web resources for searching, visualising and analysing genomics and transcriptomics data for different plant species. Currently, it includes dedicated web portals for enabling in-depth exploration of Poplar, Eucalyptus Norway spruce, and Arabidopsis and few more plant species. The PlantGenIE platform is based on the GenIE-Sys ( Genome Integrative Explorer System).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Bioinformatics","Phylogenetics"],"domains":["RNA sequence","Gene Ontology enrichment","Genome annotation","Genomic assembly","Genome visualization","Gene expression","Co-expression","RNA sequencing","Sequence alignment","Protein","Quantitative trait loci"],"taxonomies":["Arabidopsis thaliana","Eucalyptus grandis","Picea abies","Picea taeda","Populus trichocarpa"],"user_defined_tags":[],"countries":["Sweden"],"publications":[{"id":2663,"pubmed_id":26192091,"title":"The Plant Genome Integrative Explorer Resource: PlantGenIE.org.","year":2015,"url":"http://doi.org/10.1111/nph.13557","authors":"Sundell D,Mannapperuma C,Netotea S,Delhomme N,Lin YC,Sjodin A,Van de Peer Y,Jansson S,Hvidsten TR,Street NR","journal":"New Phytol","doi":"10.1111/nph.13557","created_at":"2021-09-30T08:27:26.996Z","updated_at":"2021-09-30T08:27:26.996Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1200,"relation":"undefined"}],"grants":[{"id":3643,"fairsharing_record_id":2867,"organisation_id":2904,"relation":"maintains","created_at":"2021-09-30T09:26:22.180Z","updated_at":"2021-09-30T09:26:22.180Z","grant_id":null,"is_lead":true,"saved_state":{"id":2904,"name":"Umea Plant Science Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdUlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ef0ccadcce8bbe77e5d3dd0327cc0a9425a90a28/plantgeine_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2868","type":"fairsharing_records","attributes":{"created_at":"2020-01-06T14:12:57.000Z","updated_at":"2023-12-15T10:32:50.850Z","metadata":{"doi":"10.25504/FAIRsharing.FnkS1A","name":"Drug Database for Inborn Errors of Metabolism","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"http://ddiem.phenomebrowser.net/","identifier":2868,"description":"DDIEM - Drug Database for inborn errors of metabolism is a database on therapeutic strategies for inborn errors of metabolism. These strategies are classified by mechanism and outcome in DDIEM ontology. DDIEM uses this ontology to categorize the experimental treatments that have been proposed or applied. The database includes descriptions of the phenotypes addressed by the treatment and drugs participating in treatment and procedures.","abbreviation":"DDIEM","data_curation":{"url":"http://ddiem.phenomebrowser.net/about","type":"manual"},"support_links":[{"url":"https://github.com/bio-ontology-research-group/DDIEM/issues","name":"Github Issue Tracker","type":"Github"},{"url":"https://github.com/bio-ontology-research-group/DDIEM","name":"GitHub Project","type":"Github"}],"year_creation":2020,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001369","bsg-d001369"],"name":"FAIRsharing record for: Drug Database for Inborn Errors of Metabolism","abbreviation":"DDIEM","url":"https://fairsharing.org/10.25504/FAIRsharing.FnkS1A","doi":"10.25504/FAIRsharing.FnkS1A","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DDIEM - Drug Database for inborn errors of metabolism is a database on therapeutic strategies for inborn errors of metabolism. These strategies are classified by mechanism and outcome in DDIEM ontology. DDIEM uses this ontology to categorize the experimental treatments that have been proposed or applied. The database includes descriptions of the phenotypes addressed by the treatment and drugs participating in treatment and procedures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Biology"],"domains":["Drug","Rare disease","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Saudi Arabia","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1014,"relation":"undefined"}],"grants":[{"id":3645,"fairsharing_record_id":2868,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:26:22.252Z","updated_at":"2021-09-30T09:26:22.252Z","grant_id":null,"is_lead":true,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9136,"fairsharing_record_id":2868,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:16.874Z","updated_at":"2022-04-11T12:07:16.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2869","type":"fairsharing_records","attributes":{"created_at":"2019-12-05T12:37:37.000Z","updated_at":"2023-12-15T10:32:28.738Z","metadata":{"name":"miRwayDB","status":"uncertain","contacts":[{"contact_name":"Nishant Chakravorty","contact_email":"nishant@smst.iitkgp.ernet.in"}],"homepage":"http://www.mirway.iitkgp.ac.in/","citations":[{"doi":"10.1093/database/bay023","pubmed_id":29688364,"publication_id":2641}],"identifier":2869,"description":"miRwayDB provides information on experimentally validated microRNA-pathway associations for pathophysiological conditions. Information includes disease condition, associated microRNAs, experimental sample types, regulation pattern (up/down), and pathway associations. In addition, miRwayDB provides miRNA, gene and pathway scores to evaluate the role of miRNA-regulated pathways in various pathophysiological conditions. We have been unable to contact miRwayDB in order to verify the current status of the resource, and have therefore marked it as Uncertain. If you are a developer of this resource or have any information on how to get in touch with miRwayDB, please let us know.","abbreviation":"miRwayDB","data_curation":{"url":"http://www.mirway.iitkgp.ac.in/home","type":"manual","notes":"The database is regularly updated and delivers complete data from published literature."},"support_links":[{"url":"http://www.mirway.iitkgp.ac.in/contactus","name":"Contact","type":"Contact form"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.mirway.iitkgp.ac.in/submitdata","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001370","bsg-d001370"],"name":"FAIRsharing record for: miRwayDB","abbreviation":"miRwayDB","url":"https://fairsharing.org/fairsharing_records/2869","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: miRwayDB provides information on experimentally validated microRNA-pathway associations for pathophysiological conditions. Information includes disease condition, associated microRNAs, experimental sample types, regulation pattern (up/down), and pathway associations. In addition, miRwayDB provides miRNA, gene and pathway scores to evaluate the role of miRNA-regulated pathways in various pathophysiological conditions. We have been unable to contact miRwayDB in order to verify the current status of the resource, and have therefore marked it as Uncertain. If you are a developer of this resource or have any information on how to get in touch with miRwayDB, please let us know.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Physiology","Pathology"],"domains":["Disease","Pathway model","Micro RNA","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":2641,"pubmed_id":29688364,"title":"miRwayDB: a database for experimentally validated microRNA-pathway associations in pathophysiological conditions.","year":2018,"url":"http://doi.org/10.1093/database/bay023","authors":"Das SS,Saha P,Chakravorty N","journal":"Database (Oxford)","doi":"10.1093/database/bay023","created_at":"2021-09-30T08:27:24.338Z","updated_at":"2021-09-30T08:27:24.338Z"}],"licence_links":[],"grants":[{"id":3647,"fairsharing_record_id":2869,"organisation_id":622,"relation":"maintains","created_at":"2021-09-30T09:26:22.300Z","updated_at":"2021-09-30T09:26:22.300Z","grant_id":null,"is_lead":true,"saved_state":{"id":622,"name":"Cryogenic Engineering Centre, Indian Institute of Technology, Kharagpur, India","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3646,"fairsharing_record_id":2869,"organisation_id":2513,"relation":"maintains","created_at":"2021-09-30T09:26:22.275Z","updated_at":"2021-09-30T09:26:22.275Z","grant_id":null,"is_lead":true,"saved_state":{"id":2513,"name":"School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, India","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3648,"fairsharing_record_id":2869,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:26:22.337Z","updated_at":"2021-09-30T09:26:22.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2856","type":"fairsharing_records","attributes":{"created_at":"2019-11-14T12:25:44.000Z","updated_at":"2023-12-15T10:27:16.535Z","metadata":{"doi":"10.25504/FAIRsharing.2cw3HU","name":"BonaRes Repository","status":"ready","contacts":[{"contact_name":"Carsten Hoffmann","contact_email":"hoffmann@zalf.de","contact_orcid":"0000-0001-6457-4853"}],"homepage":"https://datenzentrum.bonares.de/research-data.php","citations":[{"doi":"https://doi.org/10.1016/j.cageo.2019.07.005","publication_id":2633}],"identifier":2856,"description":"The BonaRes Repository stores soil and agricultural research data from research projects and long-term field experiments which contribute significantly to the analysis of changes of soil and soil functions over the long term. Research data are described by the metadata following the BonaRes Metadata Schema (DOI: 10.20387/bonares-5pgg-8yrp) which combines international recognized standards for the description of geospatial data and research data. Metadata includes AGROVOC keywords.","abbreviation":"BonaRes Rep","data_curation":{"type":"manual"},"support_links":[{"url":"specka@zalf.de","name":"Xenia Specka","type":"Support email"},{"url":"https://datenzentrum.bonares.de/research-data.php","name":"About BonaRes Data Portal","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013470","name":"re3data:r3d100013470","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://tools.bonares.de/doi/download/32/","name":"The BonaRes Data Policy"},"data_deposition_condition":{"url":"https://tools.bonares.de/submission/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001357","bsg-d001357"],"name":"FAIRsharing record for: BonaRes Repository","abbreviation":"BonaRes Rep","url":"https://fairsharing.org/10.25504/FAIRsharing.2cw3HU","doi":"10.25504/FAIRsharing.2cw3HU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BonaRes Repository stores soil and agricultural research data from research projects and long-term field experiments which contribute significantly to the analysis of changes of soil and soil functions over the long term. Research data are described by the metadata following the BonaRes Metadata Schema (DOI: 10.20387/bonares-5pgg-8yrp) which combines international recognized standards for the description of geospatial data and research data. Metadata includes AGROVOC keywords.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Soil Science","Agriculture"],"domains":["Experimental measurement","Centrally registered identifier","Protocol","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2633,"pubmed_id":null,"title":"The BonaRes metadata schema for geospatial soil-agricultural research data – Merging INSPIRE and DataCite metadata schemes","year":2019,"url":"http://doi.org/https://doi.org/10.1016/j.cageo.2019.07.005","authors":"Specka, X.;Gärtner, P.; Hoffmann, C.; Svoboda, N.,; Stecker, M.; Einspanier, U.; Senkler, K.; Zoarder, M.A.M.; Heinrich, U.","journal":"Computer \u0026 Geosciences","doi":"https://doi.org/10.1016/j.cageo.2019.07.005","created_at":"2021-09-30T08:27:23.346Z","updated_at":"2021-09-30T08:27:23.346Z"}],"licence_links":[{"licence_name":"Creative Commons (CC) Copyright-Only Dedication (based on United States law) or Public Domain Certification","licence_id":197,"licence_url":"https://creativecommons.org/licenses/publicdomain/","link_id":2267,"relation":"undefined"}],"grants":[{"id":3618,"fairsharing_record_id":2856,"organisation_id":295,"relation":"maintains","created_at":"2021-09-30T09:26:21.415Z","updated_at":"2021-09-30T09:26:21.415Z","grant_id":null,"is_lead":false,"saved_state":{"id":295,"name":"BonaRes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3619,"fairsharing_record_id":2856,"organisation_id":1695,"relation":"maintains","created_at":"2021-09-30T09:26:21.456Z","updated_at":"2021-09-30T09:26:21.456Z","grant_id":null,"is_lead":false,"saved_state":{"id":1695,"name":"Leibniz Centre for Agricultural Landscape Research (ZALF), Muencheberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2857","type":"fairsharing_records","attributes":{"created_at":"2019-11-14T16:19:31.000Z","updated_at":"2023-06-22T17:30:35.890Z","metadata":{"doi":"10.25504/FAIRsharing.q9VUYM","name":"BBMRI-ERIC Directory","status":"ready","contacts":[{"contact_name":"Petr Holub","contact_email":"petr.holub@bbmri-eric.eu","contact_orcid":"0000-0002-5358-616X"}],"homepage":"https://directory.bbmri-eric.eu/","citations":[{"doi":"10.1089/bio.2016.0088","pubmed_id":27936342,"publication_id":2635}],"identifier":2857,"description":"The BBMRI-ERIC Directory is a tool to share aggregate information about biobanks across Europe. The Directory welcomes new biobanks to join and publish information about themselves, including their contact information in the directory. The BBMRI-ERIC Directory can help researchers find relevant biobanks, get their contact information and identify appropriate infrastructure for the storage of samples for research purposes.","abbreviation":null,"data_curation":{"url":"https://zenodo.org/record/7688105/files/BBMRI-ERIC%20Directory%20-%20Data%20Manager%20Manual%20-%20Revision%203.6.7.pdf?download=1","type":"none"},"support_links":[{"url":"https://directory.bbmri-eric.eu/menu/main/references","name":"Manuals","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://github.com/BBMRI-ERIC/directory-scripts","name":"Directory scripting tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013028","name":"re3data:r3d100013028","portal":"re3data"}],"data_access_condition":{"url":"https://zenodo.org/record/3559488/files/BBMRI-ERIC%20Directory%20User%20Manual_v2.pdf?download=1","type":"open","notes":"All metadata openly available, with underlying samples available by request."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://directory.bbmri-eric.eu/menu/main/references","type":"controlled","notes":"Deposition by member biobanks only."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001358","bsg-d001358"],"name":"FAIRsharing record for: BBMRI-ERIC Directory","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.q9VUYM","doi":"10.25504/FAIRsharing.q9VUYM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BBMRI-ERIC Directory is a tool to share aggregate information about biobanks across Europe. The Directory welcomes new biobanks to join and publish information about themselves, including their contact information in the directory. The BBMRI-ERIC Directory can help researchers find relevant biobanks, get their contact information and identify appropriate infrastructure for the storage of samples for research purposes.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17644},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11414},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12335},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12860},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16375}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Life Science","Human Biology"],"domains":["Biobank","Biological sample","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Bulgaria","Cyprus","Czech Republic","Estonia","Finland","Germany","Greece","Hungary","Italy","Latvia","Lithuania","Malta","Netherlands","Norway","Poland","Slovenia","Spain","Sweden","Switzerland","Turkey","United Kingdom","European Union"],"publications":[{"id":2635,"pubmed_id":27936342,"title":"BBMRI-ERIC Directory: 515 Biobanks with Over 60 Million Biological Samples","year":2016,"url":"http://doi.org/10.1089/bio.2016.0088","authors":"Petr Holub, Morris Swertz, Robert Reihs, David van Enckevort, Heimo Müller, and Jan-Eric Litton","journal":"Biopreservation and Biobanking","doi":"10.1089/bio.2016.0088","created_at":"2021-09-30T08:27:23.638Z","updated_at":"2021-09-30T08:27:23.638Z"}],"licence_links":[],"grants":[{"id":3620,"fairsharing_record_id":2857,"organisation_id":182,"relation":"maintains","created_at":"2021-09-30T09:26:21.495Z","updated_at":"2021-09-30T09:26:21.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":182,"name":"BBMRI-ERIC national nodes, Graz, Austria","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8772,"fairsharing_record_id":2857,"organisation_id":181,"relation":"maintains","created_at":"2022-02-02T15:14:17.986Z","updated_at":"2022-02-03T16:41:32.479Z","grant_id":null,"is_lead":true,"saved_state":{"id":181,"name":"BBMRI-ERIC","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":8781,"fairsharing_record_id":2857,"organisation_id":220,"relation":"maintains","created_at":"2022-02-03T16:41:32.394Z","updated_at":"2022-02-03T16:41:32.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":220,"name":"Biobanking and Biomolecular Resources Research Infrastructure (BBMRI), The Netherlands","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2858","type":"fairsharing_records","attributes":{"created_at":"2019-11-14T16:24:59.000Z","updated_at":"2023-12-15T10:29:32.221Z","metadata":{"doi":"10.25504/FAIRsharing.N4a3Pj","name":"BBMRI-ERIC CRC-Cohort","status":"ready","contacts":[{"contact_name":"Petr Holub","contact_email":"petr.holub@bbmri-eric.eu","contact_orcid":"0000-0002-5358-616X"}],"homepage":"http://www.bbmri-eric.eu/scientific-collaboration/colorectal-cancer-cohort/","citations":[],"identifier":2858,"description":"The colorectal cancer cohort (CRC-Cohort) is developed within the EU-funded project ADOPT BBMRI-ERIC (H2020) as a use case for piloting access to European biobanks. The CRC-Cohort is developed by BBMRI-ERIC, its National Nodes and BBMRI-ERIC partner biobanks, and it will become a permanent asset of the BBMRI-ERIC infrastructure after the end of the ADOPT project. The CRC-Cohort collection is a joint long-term European endeavor, which enables existing, well-established biobanks to connect with BBMRI-ERIC and obtain increased recognition and visibility along with new users and data. The CRC-Cohort is expected to enable high-quality research and innovation to improve colorectal cancer treatment. The cohort should enable a large spectrum of different types of research and is therefore not restricted to any specific research question. The procedures and IT tools developed within the CRC-Cohort are expected to be reusable for similar future efforts on different disease entities implemented using BBMRI-ERIC as an infrastructure.","abbreviation":"CRC-Cohort","data_curation":{"url":"https://www.bbmri-eric.eu/services/access-policies/","type":"manual/automated","notes":"Access Committee checks and asses all the data."},"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://negotiator.bbmri-eric.eu/login.xhtml","name":"BBMRI-ERIC Negotiator"}],"data_access_condition":{"url":"https://www.bbmri-eric.eu/wp-content/uploads/AoM_10_8_Access-Policy_FINAL_EU.pdf","type":"controlled","notes":"BBMRI-ERIC Policy for Access to and Sharing of Biological Samples and Data."},"resource_sustainability":{"url":"https://www.bbmri-eric.eu/eu-grants/","name":"EU Grants"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.bbmri-eric.eu/wp-content/uploads/AoM_10_8_Access-Policy_FINAL_EU.pdf","type":"controlled","notes":"BBMRI-ERIC Policy for Access to and Sharing of Biological Samples and Data."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001359","bsg-d001359"],"name":"FAIRsharing record for: BBMRI-ERIC CRC-Cohort","abbreviation":"CRC-Cohort","url":"https://fairsharing.org/10.25504/FAIRsharing.N4a3Pj","doi":"10.25504/FAIRsharing.N4a3Pj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The colorectal cancer cohort (CRC-Cohort) is developed within the EU-funded project ADOPT BBMRI-ERIC (H2020) as a use case for piloting access to European biobanks. The CRC-Cohort is developed by BBMRI-ERIC, its National Nodes and BBMRI-ERIC partner biobanks, and it will become a permanent asset of the BBMRI-ERIC infrastructure after the end of the ADOPT project. The CRC-Cohort collection is a joint long-term European endeavor, which enables existing, well-established biobanks to connect with BBMRI-ERIC and obtain increased recognition and visibility along with new users and data. The CRC-Cohort is expected to enable high-quality research and innovation to improve colorectal cancer treatment. The cohort should enable a large spectrum of different types of research and is therefore not restricted to any specific research question. The procedures and IT tools developed within the CRC-Cohort are expected to be reusable for similar future efforts on different disease entities implemented using BBMRI-ERIC as an infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17643},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11415}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Health Science","Life Science","Human Biology","Pathology"],"domains":["Biobank","Cancer","Histology"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Digital pathology"],"countries":["Austria","Belgium","Cyprus","Czech Republic","Finland","Germany","Italy","Malta","Poland","Switzerland","United Kingdom","European Union"],"publications":[],"licence_links":[{"licence_name":"BBMRI-ERIC Policy for Access to and Sharing of Biological Samples and Data","licence_id":58,"licence_url":"https://doi.org/10.5281/zenodo.1241061","link_id":1457,"relation":"undefined"}],"grants":[{"id":3621,"fairsharing_record_id":2858,"organisation_id":181,"relation":"funds","created_at":"2021-09-30T09:26:21.527Z","updated_at":"2021-09-30T09:32:50.547Z","grant_id":1801,"is_lead":false,"saved_state":{"id":181,"name":"BBMRI-ERIC","grant":"676550","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2859","type":"fairsharing_records","attributes":{"created_at":"2019-11-19T15:04:40.000Z","updated_at":"2023-12-15T10:32:41.855Z","metadata":{"doi":"10.25504/FAIRsharing.dOFQ7p","name":"Cyclebase","status":"ready","contacts":[{"contact_name":"Lars Juhl Jensen","contact_email":"lars.juhl.jensen@cpr.ku.dk"}],"homepage":"https://cyclebase.org/CyclebaseSearch","citations":[{"doi":"10.1093/nar/gku1092","pubmed_id":25378319,"publication_id":2630}],"identifier":2859,"description":"Cyclebase is a database to visualize and download results from genome-wide cell-cycle-related experiments. In addition to genome annotation, Cyclebase also provides mRNA data, protein expression data, and integrated cell-cycle phenotype information from high-content screens and model organism databases.","abbreviation":"Cyclebase","data_curation":{"type":"not found"},"support_links":[{"url":"https://cyclebase.org/About","name":"About","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001360","bsg-d001360"],"name":"FAIRsharing record for: Cyclebase","abbreviation":"Cyclebase","url":"https://fairsharing.org/10.25504/FAIRsharing.dOFQ7p","doi":"10.25504/FAIRsharing.dOFQ7p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cyclebase is a database to visualize and download results from genome-wide cell-cycle-related experiments. In addition to genome annotation, Cyclebase also provides mRNA data, protein expression data, and integrated cell-cycle phenotype information from high-content screens and model organism databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Bioinformatics"],"domains":["Model organism","Cell cycle","Post-translational protein modification","Protein expression","Phenotype","Messenger RNA","Genome"],"taxonomies":["Arabidopsis thaliana","Homo sapiens","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":2630,"pubmed_id":25378319,"title":"Cyclebase 3.0: a multi-organism database on cell-cycle regulation and phenotypes.","year":2014,"url":"http://doi.org/10.1093/nar/gku1092","authors":"Santos A,Wernersson R,Jensen LJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1092","created_at":"2021-09-30T08:27:22.893Z","updated_at":"2021-09-30T11:29:40.821Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1018,"relation":"undefined"}],"grants":[{"id":3622,"fairsharing_record_id":2859,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:26:21.563Z","updated_at":"2021-09-30T09:26:21.563Z","grant_id":null,"is_lead":true,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2847","type":"fairsharing_records","attributes":{"created_at":"2019-11-04T17:22:43.000Z","updated_at":"2023-12-15T10:28:01.690Z","metadata":{"doi":"10.25504/FAIRsharing.ZPRtfG","name":"Agronomic Linked Data","status":"ready","contacts":[{"contact_name":"Pierre Larmande","contact_email":"Pierre.larmande@ird.fr","contact_orcid":"0000-0002-2923-9790"}],"homepage":"http://www.agrold.org/","citations":[{"doi":"10.1371/journal.pone.0198270","pubmed_id":30500839,"publication_id":2610}],"identifier":2847,"description":"The Agronomic Linked Data (AgroLD) is a knowledge-based system relying on Semantic Web technologies and exploiting standard domain ontologies, which integrates data about plant species of high interest for the plant science community. AgroLD is an RDF knowledge base of 100M triples created by annotating and integrating more than 50 datasets from 10 data sources and linked using 10 ontologies.","abbreviation":"AgroLD","data_curation":{"type":"not found"},"support_links":[{"url":"http://agrold.southgreen.fr/agrold/survey.jsp","name":"Send feedback","type":"Contact form"},{"url":"http://agrold.southgreen.fr/agrold/documentation.jsp","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/agro_ld","name":"@agro_ld","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","associated_tools":[{"url":"http://agrold.southgreen.fr/agrold/relfinder.jsp","name":"Explore Relationships / Network"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001348","bsg-d001348"],"name":"FAIRsharing record for: Agronomic Linked Data","abbreviation":"AgroLD","url":"https://fairsharing.org/10.25504/FAIRsharing.ZPRtfG","doi":"10.25504/FAIRsharing.ZPRtfG","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agronomic Linked Data (AgroLD) is a knowledge-based system relying on Semantic Web technologies and exploiting standard domain ontologies, which integrates data about plant species of high interest for the plant science community. AgroLD is an RDF knowledge base of 100M triples created by annotating and integrating more than 50 datasets from 10 data sources and linked using 10 ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16740}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Genetics","Agronomy","Life Science","Plant Genetics"],"domains":["Phenotype","Protein","Pathway model","Gene","Germplasm"],"taxonomies":["Arabidopsis thaliana","Oryza barthii","Oryza brachyantha","Oryza glaberrima","Oryza meridionalis","Oryza sativa","Oryza sativa L. ssp. Indica","Oryza sativa L. ssp. japonica","Sorghum bicolor","Triticum aestivum","Triticum urartu"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["China","France"],"publications":[{"id":2610,"pubmed_id":30500839,"title":"Agronomic Linked Data (AgroLD): A knowledge-based system to enable integrative biology in agronomy.","year":2018,"url":"http://doi.org/10.1371/journal.pone.0198270","authors":"Venkatesan A,Tagny Ngompe G,Hassouni NE,Chentli I,Guignon V,Jonquet C,Ruiz M,Larmande P","journal":"PLoS One","doi":"10.1371/journal.pone.0198270","created_at":"2021-09-30T08:27:20.404Z","updated_at":"2021-09-30T08:27:20.404Z"}],"licence_links":[],"grants":[{"id":3599,"fairsharing_record_id":2847,"organisation_id":1441,"relation":"funds","created_at":"2021-09-30T09:26:20.755Z","updated_at":"2021-09-30T09:26:20.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":1441,"name":"Institut Francais de Bioinformatique (IFB, French Institute of Bioinformatics), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3598,"fairsharing_record_id":2847,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:26:20.738Z","updated_at":"2021-09-30T09:26:20.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3600,"fairsharing_record_id":2847,"organisation_id":1373,"relation":"maintains","created_at":"2021-09-30T09:26:20.773Z","updated_at":"2021-09-30T09:26:20.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":1373,"name":"Institut de Recherche pour le Developpement (IRD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3601,"fairsharing_record_id":2847,"organisation_id":488,"relation":"funds","created_at":"2021-09-30T09:26:20.799Z","updated_at":"2021-09-30T09:26:20.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":488,"name":"CGIAR Research Program on Rice","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2850","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T15:04:14.000Z","updated_at":"2023-12-15T10:30:17.551Z","metadata":{"doi":"10.25504/FAIRsharing.V52Eqe","name":"PolyASite","status":"ready","contacts":[{"contact_name":"Mihaela Zavolan","contact_email":"polyasite-biozentrum@unibas.ch"}],"homepage":"https://polyasite.unibas.ch/","citations":[{"doi":"10.1093/nar/gkz918","pubmed_id":31617559,"publication_id":2625}],"identifier":2850,"description":"Alternative cleavage and polyadenylation (APA) of RNAs gives rise to isoforms with different terminal exons, which in turn determine the fate of the RNA and the encoded protein. APA has thus been implicated in the regulation of cell proliferation, differentiation and disease development. PolyASite is a portal to the curated set of poly(A) sites inferred from publicly available 3’ end sequencing datasets. It allows efficient finding, exploration and export of poly(A) sites in several organisms. In constructing our poly(A) site atlas, we applied uniform quality measures, including the flagging of putative internal priming sites, to input datasets originating from different 3’ end sequencing techniques, cell types or tissues. Through integrated processing of all data, we identified and clustered sites that are closely spaced and share polyadenylation signals, as these are likely the result of stochastic variations in processing. For each cluster, we identified the representative - most frequently processed - site and estimated the relative use in the transcriptome across all samples. While other existing alternative polyadenylation databases rely on a single experimental method, or on poly(A) site estimation from RNA-seq data, PolyASite is built on data from several 3’ end sequencing techniques. This allows a broader coverage of cell types and poly(A) sites to support further genomics studies.","abbreviation":"PolyASite","data_curation":{"type":"manual/automated"},"support_links":[{"url":"polyasite-biozentrum@unibas.ch","name":"polyasite-biozentrum@unibas.ch","type":"Support email"},{"url":"https://polyasite.unibas.ch/protocols","name":"Protocols","type":"Help documentation"},{"url":"https://polyasite.unibas.ch/about","name":"About","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/zavolanlab/PAQR_KAPAC","name":"PAQR / KAPAC"},{"url":"https://github.com/zavolanlab/TECtool","name":"TECtool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://polyasite.unibas.ch/","type":"open","notes":"Users can make suggestions by email to improve the resource"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001351","bsg-d001351"],"name":"FAIRsharing record for: PolyASite","abbreviation":"PolyASite","url":"https://fairsharing.org/10.25504/FAIRsharing.V52Eqe","doi":"10.25504/FAIRsharing.V52Eqe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Alternative cleavage and polyadenylation (APA) of RNAs gives rise to isoforms with different terminal exons, which in turn determine the fate of the RNA and the encoded protein. APA has thus been implicated in the regulation of cell proliferation, differentiation and disease development. PolyASite is a portal to the curated set of poly(A) sites inferred from publicly available 3’ end sequencing datasets. It allows efficient finding, exploration and export of poly(A) sites in several organisms. In constructing our poly(A) site atlas, we applied uniform quality measures, including the flagging of putative internal priming sites, to input datasets originating from different 3’ end sequencing techniques, cell types or tissues. Through integrated processing of all data, we identified and clustered sites that are closely spaced and share polyadenylation signals, as these are likely the result of stochastic variations in processing. For each cluster, we identified the representative - most frequently processed - site and estimated the relative use in the transcriptome across all samples. While other existing alternative polyadenylation databases rely on a single experimental method, or on poly(A) site estimation from RNA-seq data, PolyASite is built on data from several 3’ end sequencing techniques. This allows a broader coverage of cell types and poly(A) sites to support further genomics studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12859}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Genetics","Transcriptomics"],"domains":["Expression data","Ribonucleic acid","RNA polyadenylation","RNA sequencing","Transcript"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2625,"pubmed_id":31617559,"title":"PolyASite 2.0: a consolidated atlas of polyadenylation sites from 3' end sequencing.","year":2019,"url":"http://doi.org/10.1093/nar/gkz918","authors":"Herrmann CJ,Schmidt R,Kanitz A,Artimo P,Gruber AJ,Zavolan M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz918","created_at":"2021-09-30T08:27:22.310Z","updated_at":"2021-09-30T11:29:40.729Z"}],"licence_links":[],"grants":[{"id":3606,"fairsharing_record_id":2850,"organisation_id":284,"relation":"maintains","created_at":"2021-09-30T09:26:20.912Z","updated_at":"2021-09-30T09:26:20.912Z","grant_id":null,"is_lead":true,"saved_state":{"id":284,"name":"Biozentrum, University of Basel, Basel, Switzerland","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2851","type":"fairsharing_records","attributes":{"created_at":"2019-11-08T21:48:50.000Z","updated_at":"2024-07-08T10:14:16.238Z","metadata":{"doi":"10.25504/FAIRsharing.sbikSF","name":"Duke Research Data Repository","status":"ready","contacts":[{"contact_email":"datamanagement@duke.edu"}],"homepage":"https://research.repository.duke.edu/","citations":[],"identifier":2851,"description":"The Research Data Repository is a service of the Duke University Libraries that provides curation, access, and preservation of research data produced by the Duke community. The Duke Research Data Repository accepts data, documentation, software, and other code related to the teaching and research mission of Duke University, including data linked to a publication, research project, and/or class projects. Data deposit is open to all members of the Duke Community with a valid netid. All data are openly accessible for direct download. All data go through a curation process to help ensure data are well described, in a structure and format that supports long-term preservation, and generally meet the FAIR Guiding Principles for data (i.e., Findable, Accessible, Interoperable, and Reusable). All data and documentation are openly accessible for download unless under embargo.","abbreviation":"Duke RDR","data_curation":{"url":"https://duke.app.box.com/v/RDR-curation-checklist","type":"manual","notes":"All data deposited with the RDR will be reviewed by repository curation staff to assist with readying the data for sharing."},"support_links":[{"url":"https://research.repository.duke.edu/about?locale=en","name":"Duke Research Data Repository Policies","type":"Help documentation"},{"url":"https://research.repository.duke.edu/help?locale=en","name":"Duke Research Data Repository Submission Guidelines","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013154","name":"re3data:r3d100013154","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://research.repository.duke.edu/help#submission","type":"controlled","notes":"Data deposit is only open to members of the Duke Community."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001352","bsg-d001352"],"name":"FAIRsharing record for: Duke Research Data Repository","abbreviation":"Duke RDR","url":"https://fairsharing.org/10.25504/FAIRsharing.sbikSF","doi":"10.25504/FAIRsharing.sbikSF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Research Data Repository is a service of the Duke University Libraries that provides curation, access, and preservation of research data produced by the Duke community. The Duke Research Data Repository accepts data, documentation, software, and other code related to the teaching and research mission of Duke University, including data linked to a publication, research project, and/or class projects. Data deposit is open to all members of the Duke Community with a valid netid. All data are openly accessible for direct download. All data go through a curation process to help ensure data are well described, in a structure and format that supports long-term preservation, and generally meet the FAIR Guiding Principles for data (i.e., Findable, Accessible, Interoperable, and Reusable). All data and documentation are openly accessible for download unless under embargo.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["institutional repository","Open Access","Open Science"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1139,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1140,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1141,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1142,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1143,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1138,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1144,"relation":"undefined"},{"licence_name":"Creative Commons (CC) Public Domain Mark (PDM)","licence_id":198,"licence_url":"https://creativecommons.org/share-your-work/public-domain/pdm/","link_id":1145,"relation":"undefined"}],"grants":[{"id":3607,"fairsharing_record_id":2851,"organisation_id":788,"relation":"maintains","created_at":"2021-09-30T09:26:20.942Z","updated_at":"2021-09-30T09:26:20.942Z","grant_id":null,"is_lead":false,"saved_state":{"id":788,"name":"Duke University Libraries","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbGdFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--2e7f2da02b9f1a3813bd98ad9a80b0cf38f0e642/Screenshot%20from%202024-05-13%2011-47-11.png?disposition=inline","exhaustive_licences":true}},{"id":"2852","type":"fairsharing_records","attributes":{"created_at":"2019-11-11T14:42:27.000Z","updated_at":"2023-12-15T10:31:06.716Z","metadata":{"doi":"10.25504/FAIRsharing.e4abce","name":"PrimesDB","status":"ready","contacts":[{"contact_name":"Professor David Lynn","contact_email":"david.lynn@sahmri.com"}],"homepage":"http://primesdb.org/","identifier":2852,"description":"PRIMESDB is a systems biology platform that is being developed to enable the collection, integration and analysis of state-of-the-art genomics, proteomics and mathematical modelling data being generated by the PRIMES project. PRIMES is investigating the role of protein interaction machines in oncogenic signalling with a particular focus on the EGFR network. PRIMESDB provides a centralised knowledgebase and analysis platform for cancer protein interaction networks.","abbreviation":"PrimesDB","data_curation":{"type":"manual"},"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001353","bsg-d001353"],"name":"FAIRsharing record for: PrimesDB","abbreviation":"PrimesDB","url":"https://fairsharing.org/10.25504/FAIRsharing.e4abce","doi":"10.25504/FAIRsharing.e4abce","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRIMESDB is a systems biology platform that is being developed to enable the collection, integration and analysis of state-of-the-art genomics, proteomics and mathematical modelling data being generated by the PRIMES project. PRIMES is investigating the role of protein interaction machines in oncogenic signalling with a particular focus on the EGFR network. PRIMESDB provides a centralised knowledgebase and analysis platform for cancer protein interaction networks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology"],"domains":["Protein interaction","Cancer","Drug metabolic process","Signaling","Drug interaction","Pathway model","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":3608,"fairsharing_record_id":2852,"organisation_id":1737,"relation":"maintains","created_at":"2021-09-30T09:26:20.967Z","updated_at":"2021-09-30T09:26:20.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":1737,"name":"Lynn Group, EMBL Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3609,"fairsharing_record_id":2852,"organisation_id":1989,"relation":"funds","created_at":"2021-09-30T09:26:20.995Z","updated_at":"2021-09-30T09:26:20.995Z","grant_id":null,"is_lead":false,"saved_state":{"id":1989,"name":"National eResearch Collaboration Tools and Resources project (NeCTAR), Victoria, Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3610,"fairsharing_record_id":2852,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:21.038Z","updated_at":"2021-09-30T09:32:09.270Z","grant_id":1492,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7-HEALTH-2011-278568","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2854","type":"fairsharing_records","attributes":{"created_at":"2019-11-12T13:32:59.000Z","updated_at":"2023-06-22T16:18:39.744Z","metadata":{"doi":"10.25504/FAIRsharing.uxwZ3f","name":"LocustMine","status":"deprecated","contacts":[{"contact_name":"Pengcheng Yang","contact_email":"yangpc@biols.ac.cn","contact_orcid":"0000-0001-5496-8357"}],"homepage":"http://locustmine.org:8080/locustmine/begin.do","citations":[{"doi":"10.1007/s13238-019-0648-6","pubmed_id":31292921,"publication_id":648}],"identifier":2854,"description":"An integrated Omics data warehouse for Locust, Locusta migratoria.\n","abbreviation":"LocustMine","data_curation":{"type":"not found"},"year_creation":2019,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001355","bsg-d001355"],"name":"FAIRsharing record for: LocustMine","abbreviation":"LocustMine","url":"https://fairsharing.org/10.25504/FAIRsharing.uxwZ3f","doi":"10.25504/FAIRsharing.uxwZ3f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated Omics data warehouse for Locust, Locusta migratoria.\n","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11697}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Bioinformatics","Transcriptomics"],"domains":["Expression data","Gene functional annotation","Protein interaction","Gene expression","Biological regulation","Gene","Homologous","Genome"],"taxonomies":["Locusta migratoria"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":648,"pubmed_id":31292921,"title":"Core transcriptional signatures of phase change in the migratory locust.","year":2019,"url":"http://doi.org/10.1007/s13238-019-0648-6","authors":"Yang P,Hou L,Wang X,Kang L","journal":"Protein Cell","doi":"10.1007/s13238-019-0648-6","created_at":"2021-09-30T08:23:31.311Z","updated_at":"2021-09-30T08:23:31.311Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":194,"relation":"undefined"}],"grants":[{"id":3616,"fairsharing_record_id":2854,"organisation_id":820,"relation":"maintains","created_at":"2021-09-30T09:26:21.289Z","updated_at":"2021-09-30T09:26:21.289Z","grant_id":null,"is_lead":true,"saved_state":{"id":820,"name":"Ecological Genomic and Adaptation Group, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2870","type":"fairsharing_records","attributes":{"created_at":"2019-12-05T13:20:31.000Z","updated_at":"2023-12-15T10:31:38.638Z","metadata":{"doi":"10.25504/FAIRsharing.yXPvpU","name":"TISSUES","status":"ready","contacts":[{"contact_name":"Jan Gorodkin","contact_email":"gorodkin@rth.dk"}],"homepage":"https://tissues.jensenlab.org/Search","citations":[{"doi":"10.1093/database/bay003","pubmed_id":29617745,"publication_id":2647}],"identifier":2870,"description":"TISSUES is a weekly updated web resource that integrates evidence on tissue expression from manually curated literature, proteomics and transcriptomics screens, and automatic text mining. All evidence to common protein identifiers and Brenda Tissue Ontology terms is mapped, and confidence scores that facilitate comparison of the different types and sources of evidence are assigned. These scores are visualized on a schematic human body to provide a convenient overview.","abbreviation":"TISSUES","data_curation":{"url":"https://tissues.jensenlab.org/About","type":"manual/automated","notes":"Data comes from manually curated literature, proteomics and transcriptomics screens, and automatic text mining."},"support_links":[{"url":"lars.juhl.jensen@cpr.ku.dk","name":"Lars Juhl Jensen","type":"Support email"},{"url":"https://tissues.jensenlab.org/About","name":"About","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001371","bsg-d001371"],"name":"FAIRsharing record for: TISSUES","abbreviation":"TISSUES","url":"https://fairsharing.org/10.25504/FAIRsharing.yXPvpU","doi":"10.25504/FAIRsharing.yXPvpU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TISSUES is a weekly updated web resource that integrates evidence on tissue expression from manually curated literature, proteomics and transcriptomics screens, and automatic text mining. All evidence to common protein identifiers and Brenda Tissue Ontology terms is mapped, and confidence scores that facilitate comparison of the different types and sources of evidence are assigned. These scores are visualized on a schematic human body to provide a convenient overview.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12863}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Proteomics","Transcriptomics"],"domains":["Expression data","Text mining","Gene expression","RNA sequencing","DNA microarray"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Sus scrofa"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":2647,"pubmed_id":29617745,"title":"TISSUES 2.0: an integrative web resource on mammalian tissue expression.","year":2018,"url":"http://doi.org/10.1093/database/bay003","authors":"Palasca O,Santos A,Stolte C,Gorodkin J,Jensen LJ","journal":"Database (Oxford)","doi":"10.1093/database/bay003","created_at":"2021-09-30T08:27:25.046Z","updated_at":"2021-09-30T08:27:25.046Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1504,"relation":"undefined"}],"grants":[{"id":3652,"fairsharing_record_id":2870,"organisation_id":568,"relation":"maintains","created_at":"2021-09-30T09:26:22.493Z","updated_at":"2021-09-30T09:26:22.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3650,"fairsharing_record_id":2870,"organisation_id":2197,"relation":"funds","created_at":"2021-09-30T09:26:22.422Z","updated_at":"2021-09-30T09:29:54.493Z","grant_id":462,"is_lead":false,"saved_state":{"id":2197,"name":"Novo Nordisk Foundation, Denmark","grant":"NNF14CC0001","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3655,"fairsharing_record_id":2870,"organisation_id":638,"relation":"funds","created_at":"2021-09-30T09:26:22.593Z","updated_at":"2021-09-30T09:32:03.062Z","grant_id":1446,"is_lead":false,"saved_state":{"id":638,"name":"Danish Council for Independent Research, Denmark","grant":"DFF-4005-00443","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3649,"fairsharing_record_id":2870,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:26:22.380Z","updated_at":"2021-09-30T09:26:22.380Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3653,"fairsharing_record_id":2870,"organisation_id":568,"relation":"funds","created_at":"2021-09-30T09:26:22.525Z","updated_at":"2021-09-30T09:26:22.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3654,"fairsharing_record_id":2870,"organisation_id":431,"relation":"maintains","created_at":"2021-09-30T09:26:22.561Z","updated_at":"2021-09-30T09:26:22.561Z","grant_id":null,"is_lead":false,"saved_state":{"id":431,"name":"Center for non-coding RNA in Technology and Health (RTH), Department of Veterinary and Animal Sciences, Faculty for Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3656,"fairsharing_record_id":2870,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:22.627Z","updated_at":"2021-09-30T09:29:45.594Z","grant_id":389,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 CA189205 and U24 224370","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3651,"fairsharing_record_id":2870,"organisation_id":1354,"relation":"funds","created_at":"2021-09-30T09:26:22.462Z","updated_at":"2021-09-30T09:30:51.111Z","grant_id":901,"is_lead":false,"saved_state":{"id":1354,"name":"Innovation Fund Denmark","grant":"0603-00320B","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2871","type":"fairsharing_records","attributes":{"created_at":"2019-12-05T13:57:18.000Z","updated_at":"2023-12-15T10:31:23.997Z","metadata":{"doi":"10.25504/FAIRsharing.83bf78","name":"LEAFDATA","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@leafdata.org"}],"homepage":"http://www.leafdata.org/","citations":[{"doi":"10.1186/s13007-016-0115-9","pubmed_id":26884807,"publication_id":1057}],"identifier":2871,"description":"The LEAFDATA resource collects information from primary research articles focusing on Arabidopsis leaf growth and development. The result section of selected papers is manually annotated and organized into distinct categories. Text fragments of the manuscripts are displayed with links to the original papers on PubMed.","abbreviation":"LEAFDATA","data_curation":{"url":"http://www.leafdata.org/Aboutus.cfm","type":"manual/automated"},"support_links":[{"url":"http://www.leafdata.org/contactus.cfm","name":"Contact Form","type":"Contact form"},{"url":"dszakonyi@igc.gulbenkian.pt","name":"Dra Szakonyi","type":"Support email"},{"url":"http://www.leafdata.org/faq.cfm","name":"LEAFDATA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.leafdata.org/news.cfm","name":"News","type":"Help documentation"},{"url":"http://www.leafdata.org/Aboutus.cfm","name":"About","type":"Help documentation"},{"url":"https://twitter.com/InfoLeafdata","name":"@InfoLeafdata","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001372","bsg-d001372"],"name":"FAIRsharing record for: LEAFDATA","abbreviation":"LEAFDATA","url":"https://fairsharing.org/10.25504/FAIRsharing.83bf78","doi":"10.25504/FAIRsharing.83bf78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LEAFDATA resource collects information from primary research articles focusing on Arabidopsis leaf growth and development. The result section of selected papers is manually annotated and organized into distinct categories. Text fragments of the manuscripts are displayed with links to the original papers on PubMed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Bioinformatics","Genetics","Plant Anatomy","Plant Genetics"],"domains":["Expression data","Protein interaction","Biological process","Gene expression","Regulation of gene expression","Genetic interaction","Gene feature","Phenotype"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Portugal"],"publications":[{"id":1057,"pubmed_id":26884807,"title":"LEAFDATA: a literature-curated database for Arabidopsis leaf development.","year":2016,"url":"http://doi.org/10.1186/s13007-016-0115-9","authors":"Szakonyi D","journal":"Plant Methods","doi":"10.1186/s13007-016-0115-9","created_at":"2021-09-30T08:24:17.056Z","updated_at":"2021-09-30T08:24:17.056Z"}],"licence_links":[],"grants":[{"id":3657,"fairsharing_record_id":2871,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:26:22.652Z","updated_at":"2021-09-30T09:30:30.082Z","grant_id":737,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LSHG-CT-2006-037704","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9390,"fairsharing_record_id":2871,"organisation_id":1450,"relation":"maintains","created_at":"2022-04-11T12:07:35.171Z","updated_at":"2022-04-11T12:07:35.171Z","grant_id":null,"is_lead":true,"saved_state":{"id":1450,"name":"Instituto Gulbenkian de Ciencia Oeiras, Lisboa, Portugal","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2873","type":"fairsharing_records","attributes":{"created_at":"2019-12-10T13:11:26.000Z","updated_at":"2023-12-15T10:33:12.250Z","metadata":{"doi":"10.25504/FAIRsharing.83jovl","name":"T-psi-C","status":"ready","contacts":[{"contact_name":"Marcin Sajek","contact_email":"marcin.sajek@igcz.poznan.pl","contact_orcid":"0000-0002-4115-4191"}],"homepage":"http://tpsic.igcz.poznan.pl/","citations":[{"doi":"10.1093/nar/gkz922","pubmed_id":31624839,"publication_id":2651}],"identifier":2873,"description":"T-psi-C is a database of tRNA sequences and 3D tRNA structures. The T-psi-C database can be continuously updated by any member of the scientific community.","abbreviation":"tpsic","data_curation":{"type":"manual","notes":"see doi:10.1093/nar/gkz922"},"support_links":[{"url":"http://tpsic.igcz.poznan.pl/info/about/","name":"About","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://www.elastic.co/","name":"Elasticsearch -"},{"url":"ftp://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/LATEST","name":"BLAST+ 2.7.1"},{"url":"https://www.tbi.univie.ac.at/RNA/ViennaRNA/doc/html/wrappers.html","name":"RNAlib 2.4.14"}],"data_access_condition":{"url":"https://tpsic.igcz.poznan.pl/trna/trna-detail/1/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://tpsic.igcz.poznan.pl/accounts/login/?next=/trna/trna-deposition/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001374","bsg-d001374"],"name":"FAIRsharing record for: T-psi-C","abbreviation":"tpsic","url":"https://fairsharing.org/10.25504/FAIRsharing.83jovl","doi":"10.25504/FAIRsharing.83jovl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: T-psi-C is a database of tRNA sequences and 3D tRNA structures. The T-psi-C database can be continuously updated by any member of the scientific community.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12864}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","Nucleic acid sequence","RNA sequence","Structure","Transfer RNA"],"taxonomies":["All"],"user_defined_tags":["Mitochondrial tRNA"],"countries":["Poland"],"publications":[{"id":2651,"pubmed_id":31624839,"title":"T-psi-C: user friendly database of tRNA sequences and structures","year":2019,"url":"http://doi.org/10.1093/nar/gkz922","authors":"Sajek MP, Woźniak T, Sprinzl M, Jaruzelska J, Barciszewski J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz922","created_at":"2021-09-30T08:27:25.571Z","updated_at":"2021-09-30T08:27:25.571Z"}],"licence_links":[],"grants":[{"id":3660,"fairsharing_record_id":2873,"organisation_id":1418,"relation":"maintains","created_at":"2021-09-30T09:26:22.744Z","updated_at":"2021-09-30T09:26:22.744Z","grant_id":null,"is_lead":true,"saved_state":{"id":1418,"name":"Institute of Human Genetics, Polish Academy of Sciences","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3661,"fairsharing_record_id":2873,"organisation_id":1408,"relation":"maintains","created_at":"2021-09-30T09:26:22.777Z","updated_at":"2021-09-30T09:26:22.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":1408,"name":"Institute of Bioorganic Chemistry, Polish Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2862","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T08:53:05.000Z","updated_at":"2023-12-15T10:31:01.981Z","metadata":{"doi":"10.25504/FAIRsharing.Ckg0bl","name":"NERC Vocabulary Server","status":"ready","contacts":[{"contact_name":"NVS Vocabulary Management team","contact_email":"vocab.services@bodc.ac.uk"}],"homepage":"https://www.bodc.ac.uk/resources/vocabularies/","identifier":2862,"description":"The NERC Vocabulary Server provides access to standardised lists of terms and taxonomies related to a wide range of concepts which are used to facilitate data markup, interoperability and discovery in the marine and associated earth science domains. Some of these vocabularies are totally managed by BODC, others are managed by BODC on behalf of other organisations, while some are owned and, when relevant, managed by external governance authorities.","abbreviation":"NVS","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/nvs-vocabs","name":"NERC Vocabulary Server Github repositories","type":"Github"},{"url":"http://vocab.nerc.ac.uk/","name":"Technical documentation for the NERC Vocabulary Server","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/","name":"NVS Search"},{"url":"http://seadatanet.maris2.nl/v_bodc_vocab_v2/welcome.asp","name":"SeaDataNet Common Vocabulary Search Interface"},{"url":"https://www.bodc.ac.uk/resources/vocabularies/vocabulary_editor/","name":"Vocabulary editor"},{"url":"http://seadatanet.maris2.nl/bandit/browse_step.php","name":"P01 Vocabulary - Facet search on semantic components"},{"url":"https://www.bodc.ac.uk/resources/vocabularies/vocabulary_builder/","name":"Vocabulary Builder"}],"data_access_condition":{"type":"open","notes":"Registration required"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.bodc.ac.uk/submit_data/data_planning/deposit_conditions/","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001363","bsg-d001363"],"name":"FAIRsharing record for: NERC Vocabulary Server","abbreviation":"NVS","url":"https://fairsharing.org/10.25504/FAIRsharing.Ckg0bl","doi":"10.25504/FAIRsharing.Ckg0bl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NERC Vocabulary Server provides access to standardised lists of terms and taxonomies related to a wide range of concepts which are used to facilitate data markup, interoperability and discovery in the marine and associated earth science domains. Some of these vocabularies are totally managed by BODC, others are managed by BODC on behalf of other organisations, while some are owned and, when relevant, managed by external governance authorities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Data Management","Marine Biology","Earth Science","Ontology and Terminology","Oceanography"],"domains":["Environmental contaminant","Marine environment","Climate","Device"],"taxonomies":["All"],"user_defined_tags":["Chemical oceanography","Natural Resources, Earth and Environment"],"countries":["United Kingdom","European Union"],"publications":[{"id":2648,"pubmed_id":null,"title":"Ocean Data Standards Volume 4: Technology for SeaDataNet Controlled Vocabularies for describing Marine and Oceanographic Datasets – A joint Proposal by SeaDataNet and ODIP projects","year":2019,"url":"https://www.iode.org/index.php?option=com_oe\u0026task=viewDocumentRecord\u0026docID=25099","authors":"A. Leadbetter, R. Lowry, O. Clements, Vocabulary Management Group","journal":"IOC Manual and Guides No. 54 Volume 4","doi":null,"created_at":"2021-09-30T08:27:25.155Z","updated_at":"2021-09-30T08:27:25.155Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2219,"relation":"undefined"}],"grants":[{"id":9074,"fairsharing_record_id":2862,"organisation_id":2090,"relation":"funds","created_at":"2022-03-30T14:23:35.999Z","updated_at":"2022-03-30T14:23:35.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3628,"fairsharing_record_id":2862,"organisation_id":2534,"relation":"undefined","created_at":"2021-09-30T09:26:21.785Z","updated_at":"2021-09-30T09:26:21.785Z","grant_id":null,"is_lead":false,"saved_state":{"id":2534,"name":"SeaDataNet AISBL","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":3626,"fairsharing_record_id":2862,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:26:21.719Z","updated_at":"2021-09-30T09:26:21.719Z","grant_id":null,"is_lead":true,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2863","type":"fairsharing_records","attributes":{"created_at":"2019-12-18T13:40:17.000Z","updated_at":"2023-12-21T12:02:26.708Z","metadata":{"doi":"10.25504/FAIRsharing.Mkl9RR","name":"Ontology Lookup Service","status":"ready","contacts":[{"contact_name":"OLS Support","contact_email":"ols-support@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/ols/index","citations":[],"identifier":2863,"description":"The Ontology Lookup Service (OLS) is a repository for biomedical ontologies that aims to provide a single point of access to the latest ontology versions. You can browse the ontologies through the website as well as programmatically via the OLS API. In 2023 OLS was updated to scale better and with a new user interface. OLS is used within life sciences but also in the fields of chemistry and engineering. Code is available under an Apache 2.0 licence.","abbreviation":"OLS","data_curation":{"type":"not found"},"support_links":[{"url":"https://listserver.ebi.ac.uk/mailman/listinfo/ols-announce","name":"OLS Mailing list","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/ols4/about","name":"About OLS","type":"Help documentation"},{"url":"https://github.com/EBISPOT/ols4","name":"Github Repository","type":"Github"},{"url":"https://twitter.com/EBIOLS","name":"@EBIOLS","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://www.ebi.ac.uk/spot/oxo/","name":"OxO Ontology Mapping Tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010413","name":"re3data:r3d100010413","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006596","name":"SciCrunch:RRID:SCR_006596","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Users can send feedback, enquiries or suggestion about OLS, request a new ontology by using the GitHub issue tracker."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001364","bsg-d001364"],"name":"FAIRsharing record for: Ontology Lookup Service","abbreviation":"OLS","url":"https://fairsharing.org/10.25504/FAIRsharing.Mkl9RR","doi":"10.25504/FAIRsharing.Mkl9RR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology Lookup Service (OLS) is a repository for biomedical ontologies that aims to provide a single point of access to the latest ontology versions. You can browse the ontologies through the website as well as programmatically via the OLS API. In 2023 OLS was updated to scale better and with a new user interface. OLS is used within life sciences but also in the fields of chemistry and engineering. Code is available under an Apache 2.0 licence.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11416},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11890},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12263}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Ontology and Terminology","Data Visualization"],"domains":["Classification","Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":613,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":614,"relation":"undefined"}],"grants":[{"id":3631,"fairsharing_record_id":2863,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:26:21.858Z","updated_at":"2021-09-30T09:30:59.340Z","grant_id":966,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654248","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3629,"fairsharing_record_id":2863,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:21.809Z","updated_at":"2021-09-30T09:26:21.809Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3630,"fairsharing_record_id":2863,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:21.833Z","updated_at":"2021-09-30T09:29:37.683Z","grant_id":332,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"284209","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2860","type":"fairsharing_records","attributes":{"created_at":"2019-11-20T12:34:45.000Z","updated_at":"2023-12-15T10:30:53.010Z","metadata":{"doi":"10.25504/FAIRsharing.qgMKai","name":"DNA Modification Database","status":"ready","contacts":[{"contact_name":"Dr. Michael Hoffman","contact_email":"michael.hoffman@utoronto.ca"}],"homepage":"https://dnamod.hoffmanlab.org/","citations":[{"doi":"10.1186/s13321-019-0349-4","pubmed_id":31016417,"publication_id":506}],"identifier":2860,"description":"DNAmod is an open-source database (https://dnamod.hoffmanlab.org) that catalogues DNA modifications and provides a single source to learn about their properties. The database annotates the chemical properties and structures of all curated modified DNA bases, and a much larger list of candidate chemical entities. DNAmod includes manual annotations of available sequencing methods, descriptions of their occurrence in nature, and provides existing and suggested nomenclature. DNAmod enables researchers to rapidly review previous work, select mapping techniques, and track recent developments concerning modified bases of interest.","abbreviation":"DNAmod","data_curation":{"url":"https://dnamod.hoffmanlab.org/about.html","type":"manual"},"support_links":[{"url":"https://bitbucket.org/hoffmanlab/dnamod/issues","name":"Bitbucket Issue Tracker","type":"Forum"},{"url":"https://dnamod.hoffmanlab.org/about.html","name":"About","type":"Help documentation"},{"url":"https://dnamod.hoffmanlab.org/contact.html","name":"Contact Information","type":"Help documentation"},{"url":"https://bitbucket.org/hoffmanlab/dnamod/","name":"Bitbucket Project Page","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013918","name":"re3data:r3d100013918","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001361","bsg-d001361"],"name":"FAIRsharing record for: DNA Modification Database","abbreviation":"DNAmod","url":"https://fairsharing.org/10.25504/FAIRsharing.qgMKai","doi":"10.25504/FAIRsharing.qgMKai","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DNAmod is an open-source database (https://dnamod.hoffmanlab.org) that catalogues DNA modifications and provides a single source to learn about their properties. The database annotates the chemical properties and structures of all curated modified DNA bases, and a much larger list of candidate chemical entities. DNAmod includes manual annotations of available sequencing methods, descriptions of their occurrence in nature, and provides existing and suggested nomenclature. DNAmod enables researchers to rapidly review previous work, select mapping techniques, and track recent developments concerning modified bases of interest.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12861}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenomics","Bioinformatics"],"domains":["Nucleotide"],"taxonomies":["All"],"user_defined_tags":["DNA modification"],"countries":["Canada"],"publications":[{"id":506,"pubmed_id":31016417,"title":"DNAmod: the DNA modification database.","year":2019,"url":"http://doi.org/10.1186/s13321-019-0349-4","authors":"Sood AJ,Viner C,Hoffman MM","journal":"J Cheminform","doi":"10.1186/s13321-019-0349-4","created_at":"2021-09-30T08:23:15.144Z","updated_at":"2021-09-30T08:23:15.144Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1332,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1330,"relation":"undefined"}],"grants":[{"id":3623,"fairsharing_record_id":2860,"organisation_id":2356,"relation":"maintains","created_at":"2021-09-30T09:26:21.606Z","updated_at":"2021-09-30T09:26:21.606Z","grant_id":null,"is_lead":true,"saved_state":{"id":2356,"name":"Princess Margaret Cancer Centre, Toronto, Canada","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2874","type":"fairsharing_records","attributes":{"created_at":"2019-12-13T20:12:10.000Z","updated_at":"2024-03-21T13:58:56.033Z","metadata":{"doi":"10.25504/FAIRsharing.aI1J5W","name":"GlyGen: Computational and Informatics Resources for Glycoscience","status":"ready","contacts":[{"contact_name":"GlyGen Contact Us","contact_email":"myglygen@gmail.com"}],"homepage":"https://www.glygen.org/","citations":[{"doi":"cwz080","pubmed_id":31616925,"publication_id":2658}],"identifier":2874,"description":"GlyGen is a data integration and dissemination project for carbohydrate and glycoconjugate related data. GlyGen retrieves information from multiple international data sources and integrates and harmonizes this data. This web portal allows exploring this data and performing unique searches that cannot be executed in any of the integrated databases alone.","abbreviation":"GlyGen","data_curation":{"url":"https://www.glygen.org/about/","type":"manual/automated","notes":"Standardized data under open license allowing sharing and reuse of data with proper attribution that can be manually and programmatically accessed.​"},"support_links":[{"url":"https://glygen.org/contact.html","name":"GlyGen: Contact Us","type":"Contact form"},{"url":"https://twitter.com/gly_gen","name":"GlyGen Twitter","type":"Twitter"}],"year_creation":2018,"data_versioning":"not found","data_access_condition":{"url":"https://www.glygen.org/about/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001375","bsg-d001375"],"name":"FAIRsharing record for: GlyGen: Computational and Informatics Resources for Glycoscience","abbreviation":"GlyGen","url":"https://fairsharing.org/10.25504/FAIRsharing.aI1J5W","doi":"10.25504/FAIRsharing.aI1J5W","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlyGen is a data integration and dissemination project for carbohydrate and glycoconjugate related data. GlyGen retrieves information from multiple international data sources and integrates and harmonizes this data. This web portal allows exploring this data and performing unique searches that cannot be executed in any of the integrated databases alone.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19994}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Glycosylation","Glycosylated residue"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["glycobiology","glycoconjugate","glycoinformatics","glycoprotein","glycoscience"],"countries":["United States"],"publications":[{"id":2658,"pubmed_id":31616925,"title":"GlyGen: Computational and Informatics Resources for Glycoscience.","year":2019,"url":"http://doi.org/10.1093/glycob/cwz080","authors":"York WS,Mazumder R,Ranzinger R,Edwards N,Kahsay R,Aoki-Kinoshita KF,Campbell MP,Cummings RD,Feizi T,Martin M,Natale DA,Packer NH,Woods RJ,Agarwal G,Arpinar S,Bhat S,Blake J,Castro LJG,Fochtman B,Gildersleeve J,Goldman R,Holmes X,Jain V,Kulkarni S,Mahadik R,Mehta A,Mousavi R,Nakarakommula S,Navelkar R,Pattabiraman N,Pierce MJ,Ross K,Vasudev P,Vora J,Williamson T,Zhang W","journal":"Glycobiology","doi":"cwz080","created_at":"2021-09-30T08:27:26.380Z","updated_at":"2021-09-30T08:27:26.380Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":36,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":37,"relation":"undefined"}],"grants":[{"id":3663,"fairsharing_record_id":2874,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:26:22.826Z","updated_at":"2021-09-30T09:26:22.826Z","grant_id":null,"is_lead":true,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3664,"fairsharing_record_id":2874,"organisation_id":1130,"relation":"maintains","created_at":"2021-09-30T09:26:22.908Z","updated_at":"2021-09-30T09:26:22.908Z","grant_id":null,"is_lead":true,"saved_state":{"id":1130,"name":"George Washington University, DC, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11558,"fairsharing_record_id":2874,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:55.198Z","updated_at":"2024-03-21T13:58:55.916Z","grant_id":619,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"1U01GM125267-01","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2881","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T07:18:27.000Z","updated_at":"2022-07-20T10:00:56.980Z","metadata":{"doi":"10.25504/FAIRsharing.4APEVR","name":"Global Project Management System Tuberculosis Transportal","status":"deprecated","contacts":[{"contact_name":"Bindu Madhuri K","contact_email":"madhu39399@gmail.com","contact_orcid":"0000-0002-0875-4419"}],"homepage":"https://tbindia.indiancst.com/GPMSTBTransportal/","citations":[],"identifier":2881,"description":"Global Project Management System Tuberculosis Transportal (GPMS TB Transportal) is a digital platform piloting TB surveillance in the 4 districts of Karnataka. It is an integrated dashboard that contains the information of all the TB control programs. As per section 3.3 of the Sustainable Development Goals (SDG) of the United Nations, health for all and eradication of TB and Malaria by 2030 are identified targets. GPMS TB Transportal was created to aid the identification of new TB cases, improve treatment compliance, and reduce the death of TB patients in Karnataka. This resource will also be used to develop early TB presumptive patients' diagnoses.","abbreviation":"GPMS TB Transportal","data_curation":{},"support_links":[{"url":"rajaseevan@gmail.com","name":"Shri. RAJA SEEVAN","type":"Support email"},{"url":"rajaseevan@indiancst.in","name":"Shri. RAJA SEEVAN","type":"Support email"},{"url":"https://tbindia.indiancst.com/GPMSTBTransportal/index.php/acfdailyreport/live_graph","name":"Analytics","type":"Help documentation"},{"url":"https://tbindia.indiancst.com/GPMSTBTransportal/index.php/elearning/usermanual","name":"GPMS User Manual","type":"Help documentation"},{"url":"https://tbindia.indiancst.com/GPMSTBTransportal/index.php/elearning/databaseframework","name":"Database Framework","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","deprecation_date":"2022-06-27","deprecation_reason":"This resource's homepage is no longer active, and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001382","bsg-d001382"],"name":"FAIRsharing record for: Global Project Management System Tuberculosis Transportal","abbreviation":"GPMS TB Transportal","url":"https://fairsharing.org/10.25504/FAIRsharing.4APEVR","doi":"10.25504/FAIRsharing.4APEVR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Global Project Management System Tuberculosis Transportal (GPMS TB Transportal) is a digital platform piloting TB surveillance in the 4 districts of Karnataka. It is an integrated dashboard that contains the information of all the TB control programs. As per section 3.3 of the Sustainable Development Goals (SDG) of the United Nations, health for all and eradication of TB and Malaria by 2030 are identified targets. GPMS TB Transportal was created to aid the identification of new TB cases, improve treatment compliance, and reduce the death of TB patients in Karnataka. This resource will also be used to develop early TB presumptive patients' diagnoses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12867}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Epidemiology"],"domains":["Disease onset","Disease","Diagnosis","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[{"licence_name":"National Data Sharing and Accessibility Policy (NDSAP)","licence_id":544,"licence_url":"https://tbindia.indiancst.com/GPMSTBTransportal/assets/uploads/images/NDSAP%20Implementation%20Guidelines%202.4.pdf","link_id":117,"relation":"undefined"},{"licence_name":"National eHealth Authority (NeHA)","licence_id":545,"licence_url":"https://tbindia.indiancst.com/GPMSTBTransportal/assets/uploads/images/NeHA%20PDF.pdf","link_id":124,"relation":"undefined"}],"grants":[{"id":3684,"fairsharing_record_id":2881,"organisation_id":692,"relation":"maintains","created_at":"2021-09-30T09:26:23.552Z","updated_at":"2021-09-30T09:26:23.552Z","grant_id":null,"is_lead":true,"saved_state":{"id":692,"name":"Department of Community Medicine, M S. Ramaiah Medical College, Bengaluru, Karnataka, India","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":3682,"fairsharing_record_id":2881,"organisation_id":1329,"relation":"maintains","created_at":"2021-09-30T09:26:23.482Z","updated_at":"2021-09-30T09:26:23.482Z","grant_id":null,"is_lead":true,"saved_state":{"id":1329,"name":"Indian Centre for Social Transformation (Indian CST), Bengaluru, Karnataka, India","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":3683,"fairsharing_record_id":2881,"organisation_id":2402,"relation":"maintains","created_at":"2021-09-30T09:26:23.510Z","updated_at":"2021-09-30T09:26:23.510Z","grant_id":null,"is_lead":true,"saved_state":{"id":2402,"name":"Ramaiah Public Policy Center, Bengaluru, Karnataka, India","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":3681,"fairsharing_record_id":2881,"organisation_id":1329,"relation":"funds","created_at":"2021-09-30T09:26:23.460Z","updated_at":"2021-09-30T09:31:31.994Z","grant_id":1212,"is_lead":false,"saved_state":{"id":1329,"name":"Indian Centre for Social Transformation (Indian CST), Bengaluru, Karnataka, India","grant":"Self funded by the trustees and well wishers of Indian Centre for Social Transformation and certain funds from GOK(Government of Karnataka)","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2882","type":"fairsharing_records","attributes":{"created_at":"2020-01-14T09:19:25.000Z","updated_at":"2023-12-15T10:32:02.760Z","metadata":{"doi":"10.25504/FAIRsharing.z0rqUk","name":"Food and Agriculture Organization Corporate Statistical Database","status":"ready","contacts":[{"contact_name":"Francesco N Tubiello","contact_email":"francesco.tubiello@fao.org","contact_orcid":"0000-0003-4617-4690"}],"homepage":"http://www.fao.org/faostat/en/#data","citations":[{"doi":"10.1088/1748-9326/8/1/015009","publication_id":526}],"identifier":2882,"description":"Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available.","abbreviation":"FAOSTAT","data_curation":{"type":"not found"},"support_links":[{"url":"faostat@fao.org","name":"FAO Helpdesk","type":"Support email"},{"url":"http://www.fao.org/faostat/en/#faq","name":"FAOSTAT FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.fao.org/faostat/en/#definitions","name":"Definitions and Standards","type":"Help documentation"},{"url":"https://twitter.com/faostatistics","name":"@faostatistics","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Food_and_Agriculture_Organization_Corporate_Statistical_Database","name":"FAOSTAT Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010847","name":"re3data:r3d100010847","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006914","name":"SciCrunch:RRID:SCR_006914","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001383","bsg-d001383"],"name":"FAIRsharing record for: Food and Agriculture Organization Corporate Statistical Database","abbreviation":"FAOSTAT","url":"https://fairsharing.org/10.25504/FAIRsharing.z0rqUk","doi":"10.25504/FAIRsharing.z0rqUk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Forest Management","Animal Breeding","Animal Husbandry","Food Security","Agriculture"],"domains":["Food","Environmental contaminant"],"taxonomies":["Not applicable"],"user_defined_tags":["Grassland Research"],"countries":["Worldwide"],"publications":[{"id":526,"pubmed_id":null,"title":"The FAOSTAT database of greenhouse gas emissions from agriculture","year":2013,"url":"http://doi.org/10.1088/1748-9326/8/1/015009","authors":"Tubiello, F.N. et al","journal":"Environmental Research Letters","doi":"10.1088/1748-9326/8/1/015009","created_at":"2021-09-30T08:23:17.384Z","updated_at":"2021-09-30T08:23:17.384Z"},{"id":1333,"pubmed_id":null,"title":"Greenhouse Gas Emissions Due to Agriculture","year":2019,"url":"http://doi.org/10.1016/B978-0-08-100596-5.21996-3","authors":"Tubiello F.N.","journal":"Elsevier Encyclopedia of Food Systems","doi":"10.1016/B978-0-08-100596-5.21996-3","created_at":"2021-09-30T08:24:49.187Z","updated_at":"2021-09-30T08:24:49.187Z"},{"id":3036,"pubmed_id":25580828,"title":"The Contribution of Agriculture, Forestry and other Land Use activities to Global Warming, 1990-2012.","year":2015,"url":"http://doi.org/10.1111/gcb.12865","authors":"Tubiello FN,Salvatore M,Ferrara AF,House J,Federici S,Rossi S,Biancalani R,Condor Golec RD,Jacobs H,Flammini A,Prosperi P,Cardenas-Galindo P,Schmidhuber J,Sanz Sanchez MJ,Srivastava N,Smith P","journal":"Glob Chang Biol","doi":"10.1111/gcb.12865","created_at":"2021-09-30T08:28:14.133Z","updated_at":"2021-09-30T08:28:14.133Z"}],"licence_links":[{"licence_name":"FAO copyright","licence_id":311,"licence_url":"http://www.fao.org/contact-us/terms/en/","link_id":1884,"relation":"undefined"}],"grants":[{"id":3685,"fairsharing_record_id":2882,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:26:23.586Z","updated_at":"2021-09-30T09:26:23.586Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2883","type":"fairsharing_records","attributes":{"created_at":"2020-01-15T16:14:59.000Z","updated_at":"2023-12-15T10:31:45.083Z","metadata":{"doi":"10.25504/FAIRsharing.4wjhCf","name":"National Archive of Criminal Justice Data","status":"ready","contacts":[{"contact_name":"A.J. Million","contact_email":"millioaj@umich.edu","contact_orcid":"0000-0002-8909-153X"}],"homepage":"https://www.icpsr.umich.edu/icpsrweb/nacjd/","identifier":2883,"description":"Established in 1978, the National Archive of Criminal Justice Data (NACJD) archives and disseminates data on crime and justice for secondary analysis. The archive contains data from over 2,700 curated studies or statistical data series. NACJD is home to several large-scale and well known datasets, including the National Crime Victimization Survey (NCVS), the FBI's Uniform Crime Reports (UCR), the FBI's National Incident-Based Reporting System (NIBRS), and the Project on Human Development in Chicago Neighborhoods (PHDCN). In addition to making data available, NACJD curates and preserves data to ensure that they are accessible now and in the future. Located within the Inter-University Consortium for Political and Social Research (ICPSR), a research center of the Institute for Social Research (ISR) at the University of Michigan, NACJD is sponsored by the Bureau of Justice Statistics (BJS), the National Institute of Justice (NIJ), and the Office of Juvenile Justice and Delinquency Prevention (OJJDP) of the United States Department of Justice.","abbreviation":"NACJD","data_curation":{"url":"https://www.icpsr.umich.edu/files/deposit/DataStartToFinish.pdf","type":"manual/automated"},"support_links":[{"url":"http://www.icpsr.umich.edu/icpsrweb/ICPSR/help/","name":"ICPSR Help","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/help.html","name":"NACJD Help","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/contact.html","name":"NACJD Contact","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/resources.html","name":"Resources Citing NACJD","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/about.html","name":"About","type":"Help documentation"},{"url":"https://twitter.com/nackjaydee","name":"@nackjaydee","type":"Twitter"}],"year_creation":1978,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010260","name":"re3data:r3d100010260","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/NACJD/share-data.html","type":"controlled","notes":"Submitted data should come from projects granted by the National Institute of Justice (NIJ) and the Office of Juvenile Justice and Delinquency Prevention (OJJDP)."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001384","bsg-d001384"],"name":"FAIRsharing record for: National Archive of Criminal Justice Data","abbreviation":"NACJD","url":"https://fairsharing.org/10.25504/FAIRsharing.4wjhCf","doi":"10.25504/FAIRsharing.4wjhCf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Established in 1978, the National Archive of Criminal Justice Data (NACJD) archives and disseminates data on crime and justice for secondary analysis. The archive contains data from over 2,700 curated studies or statistical data series. NACJD is home to several large-scale and well known datasets, including the National Crime Victimization Survey (NCVS), the FBI's Uniform Crime Reports (UCR), the FBI's National Incident-Based Reporting System (NIBRS), and the Project on Human Development in Chicago Neighborhoods (PHDCN). In addition to making data available, NACJD curates and preserves data to ensure that they are accessible now and in the future. Located within the Inter-University Consortium for Political and Social Research (ICPSR), a research center of the Institute for Social Research (ISR) at the University of Michigan, NACJD is sponsored by the Bureau of Justice Statistics (BJS), the National Institute of Justice (NIJ), and the Office of Juvenile Justice and Delinquency Prevention (OJJDP) of the United States Department of Justice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Criminology","Criminal Law","Social and Behavioural Science"],"domains":["Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ICPSR Privacy Policy","licence_id":417,"licence_url":"https://www.icpsr.umich.edu/icpsrweb/content/about/privacy.html","link_id":2062,"relation":"undefined"}],"grants":[{"id":3687,"fairsharing_record_id":2883,"organisation_id":3168,"relation":"funds","created_at":"2021-09-30T09:26:23.652Z","updated_at":"2021-09-30T09:26:23.652Z","grant_id":null,"is_lead":false,"saved_state":{"id":3168,"name":"U.S. Department of Justice, Office of Justice Programs, Washington, D.C., USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3686,"fairsharing_record_id":2883,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:26:23.619Z","updated_at":"2021-09-30T09:26:23.619Z","grant_id":null,"is_lead":true,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2884","type":"fairsharing_records","attributes":{"created_at":"2020-01-17T16:51:32.000Z","updated_at":"2023-12-15T10:32:26.818Z","metadata":{"doi":"10.25504/FAIRsharing.Gzattg","name":"Civic Learning, Engagement, and Action Data Sharing","status":"ready","contacts":[{"contact_name":"David Bleckley","contact_email":"civicleads@umich.edu","contact_orcid":"0000-0001-7715-4348"}],"homepage":"http://www.civicleads.org","identifier":2884,"description":"Researchers from a wide variety of disciplines study civic education, civic action, and the many relationships between the two. Civic Learning, Engagement, and Action Data Sharing (CivicLEADS) provides infrastructure for researchers to share and access high-quality datasets which can be used to study civic education and involvement. Funded by a grant from the Spencer Foundation and part of ICPSR's Education and Child Care Data Archives at the University of Michigan, CivicLEADS provides a centralized repository for this multi-disciplinary research area, with data being created across education, political science, developmental sciences, and other disciplines. Researchers can access quantitative and qualitative data on a broad range of topics for secondary analysis as well as sharing their own primary research data. CivicLEADS includes datasets from other ICPSR archives and seeks out emerging data collected by studies still in the field. Beyond facilitating the sharing and discovery of data, CivicLEADS seeks to create a learning community around civic education and engagement research. We strive to form relationships with and between investigators and researchers at every level—from students to emeriti faculty. Data shared in this archive have been documented with thorough metadata, and tools drawing upon these metadata allow researchers to explore and compare variables both within and between studies. By providing tutorials, webinars, and in-person training, CivicLEADS connects researchers with data and facilitates the future of civic education and civic action research.","abbreviation":"CivicLEADS","data_curation":{"type":"none"},"support_links":[{"url":"https://www.icpsr.umich.edu/icpsrweb/civicleads/news.jsp","name":"News","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/civicleads/about.html","name":"About","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/civicleads/about.html","type":"open","notes":"Researchers can share their own primary research data, but there is no online submission form."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001385","bsg-d001385"],"name":"FAIRsharing record for: Civic Learning, Engagement, and Action Data Sharing","abbreviation":"CivicLEADS","url":"https://fairsharing.org/10.25504/FAIRsharing.Gzattg","doi":"10.25504/FAIRsharing.Gzattg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Researchers from a wide variety of disciplines study civic education, civic action, and the many relationships between the two. Civic Learning, Engagement, and Action Data Sharing (CivicLEADS) provides infrastructure for researchers to share and access high-quality datasets which can be used to study civic education and involvement. Funded by a grant from the Spencer Foundation and part of ICPSR's Education and Child Care Data Archives at the University of Michigan, CivicLEADS provides a centralized repository for this multi-disciplinary research area, with data being created across education, political science, developmental sciences, and other disciplines. Researchers can access quantitative and qualitative data on a broad range of topics for secondary analysis as well as sharing their own primary research data. CivicLEADS includes datasets from other ICPSR archives and seeks out emerging data collected by studies still in the field. Beyond facilitating the sharing and discovery of data, CivicLEADS seeks to create a learning community around civic education and engagement research. We strive to form relationships with and between investigators and researchers at every level—from students to emeriti faculty. Data shared in this archive have been documented with thorough metadata, and tools drawing upon these metadata allow researchers to explore and compare variables both within and between studies. By providing tutorials, webinars, and in-person training, CivicLEADS connects researchers with data and facilitates the future of civic education and civic action research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social Science","Education Science","Media Studies","Social Psychology","Psychology","Social and Behavioural Science","Political Science","Communication Science"],"domains":["Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Activism","Civic Education","Civic Engagement","Critical Consciousness","Education","Media Literacy","Political Development","Social Media","Sociology"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3688,"fairsharing_record_id":2884,"organisation_id":2615,"relation":"funds","created_at":"2021-09-30T09:26:23.677Z","updated_at":"2021-09-30T09:30:29.435Z","grant_id":733,"is_lead":false,"saved_state":{"id":2615,"name":"Spencer Foundation, Chicago, IL, USA","grant":"201500037","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3689,"fairsharing_record_id":2884,"organisation_id":1393,"relation":"maintains","created_at":"2021-09-30T09:26:23.701Z","updated_at":"2021-09-30T09:26:23.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1393,"name":"Institute for Social Research, University of Michigan, Ann Arbor, MI, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3690,"fairsharing_record_id":2884,"organisation_id":3095,"relation":"maintains","created_at":"2021-09-30T09:26:23.726Z","updated_at":"2021-09-30T09:26:23.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2885","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T12:12:10.000Z","updated_at":"2023-12-15T10:30:54.383Z","metadata":{"doi":"10.25504/FAIRsharing.45c8c8","name":"International Plant Names Index","status":"ready","contacts":[{"contact_name":"IPNI Team","contact_email":"ipnifeedback@kew.org"}],"homepage":"https://www.ipni.org/","identifier":2885,"description":"The International Plant Names Index (IPNI) provides nomenclatural information (spelling, author, types and first place and date of publication) for the scientific names of Vascular Plants from Family down to infraspecific ranks.","abbreviation":"IPNI","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ipni.org/statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012002","name":"re3data:r3d100012002","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ipni.org/registration/","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001386","bsg-d001386"],"name":"FAIRsharing record for: International Plant Names Index","abbreviation":"IPNI","url":"https://fairsharing.org/10.25504/FAIRsharing.45c8c8","doi":"10.25504/FAIRsharing.45c8c8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Plant Names Index (IPNI) provides nomenclatural information (spelling, author, types and first place and date of publication) for the scientific names of Vascular Plants from Family down to infraspecific ranks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Taxonomy"],"domains":["Taxonomic classification"],"taxonomies":["Tracheophyta"],"user_defined_tags":[],"countries":["Australia","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Kew Gardens Terms and Conditions","licence_id":479,"licence_url":"https://www.kew.org/terms-and-conditions","link_id":1710,"relation":"undefined"}],"grants":[{"id":3691,"fairsharing_record_id":2885,"organisation_id":2461,"relation":"maintains","created_at":"2021-09-30T09:26:23.752Z","updated_at":"2022-06-27T13:45:05.374Z","grant_id":null,"is_lead":true,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3692,"fairsharing_record_id":2885,"organisation_id":1217,"relation":"maintains","created_at":"2021-09-30T09:26:23.776Z","updated_at":"2021-09-30T09:26:23.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":1217,"name":"Harvard University Herbaria \u0026 Libraries, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3693,"fairsharing_record_id":2885,"organisation_id":144,"relation":"maintains","created_at":"2021-09-30T09:26:23.871Z","updated_at":"2021-09-30T09:26:23.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":144,"name":"Australian National Herbarium","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2901","type":"fairsharing_records","attributes":{"created_at":"2020-03-10T13:33:20.000Z","updated_at":"2023-12-15T10:30:27.431Z","metadata":{"doi":"10.25504/FAIRsharing.3254c6","name":"eLibrary of Microbial Systematics and Genomics","status":"ready","contacts":[{"contact_name":"Xiao-Yang Zhi","contact_email":"xyzhi@ynu.edu.cn"}],"homepage":"https://www.biosino.org/elmsg/index","identifier":2901,"description":"The eLibrary of Microbial Systematics and Genomics (eLMSG) database provides a platform for microbial systematics, genomics and phenomics (polyphasic taxonomy related phenotypes). It includes information in areas such as microbial taxonomy, ecology, morphology, physiology, and molecular biology. It is intended as a reference for research in microbial systematics, comparative genomics, evolutionary biology, and microbiomes.","abbreviation":"eLMSG","data_curation":{"url":"https://www.biosino.org/elmsg/about","type":"automated"},"support_links":[{"url":"https://www.biosino.org/elmsg/help","name":"eLMSG Help","type":"Help documentation"},{"url":"https://www.biosino.org/elmsg/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://www.biosino.org/elmsg/about","name":"About eLMSG","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013791","name":"re3data:r3d100013791","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.biosino.org/elmsg/submit","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001402","bsg-d001402"],"name":"FAIRsharing record for: eLibrary of Microbial Systematics and Genomics","abbreviation":"eLMSG","url":"https://fairsharing.org/10.25504/FAIRsharing.3254c6","doi":"10.25504/FAIRsharing.3254c6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eLibrary of Microbial Systematics and Genomics (eLMSG) database provides a platform for microbial systematics, genomics and phenomics (polyphasic taxonomy related phenotypes). It includes information in areas such as microbial taxonomy, ecology, morphology, physiology, and molecular biology. It is intended as a reference for research in microbial systematics, comparative genomics, evolutionary biology, and microbiomes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12872}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Microbial Ecology","Genomics","Taxonomy","Microbial Genetics","Phenomics","Comparative Genomics"],"domains":["Taxonomic classification","Cell morphology","Microbiome"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":3715,"fairsharing_record_id":2901,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.459Z","updated_at":"2021-09-30T09:26:24.459Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2902","type":"fairsharing_records","attributes":{"created_at":"2020-03-10T13:54:47.000Z","updated_at":"2023-06-23T15:21:37.358Z","metadata":{"doi":"10.25504/FAIRsharing.50387f","name":"Epigenome-Wide Association Study Atlas","status":"ready","contacts":[{"contact_name":"EWAS Atlas Helpdesk","contact_email":"ewas-user@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/ewas","citations":[{"doi":"10.1093/nar/gky1027","pubmed_id":30364969,"publication_id":2805}],"identifier":2902,"description":"The Epigenome-Wide Association Study Atlas (EWAS) Atlas is a curated knowledgebase of EWAS data. EWAS Atlas focuses on DNA methylation and provides a trait enrichment analysis tool, which is capable of profiling trait-trait and trait-epigenome relationships. Incorporation of more epigenetic markers is planned.","abbreviation":"EWAS Atlas","data_curation":{"url":"https://ngdc.cncb.ac.cn/ewas/datahub/documentation#/metadata_curation?id=curation","type":"manual"},"support_links":[{"url":"https://bigd.big.ac.cn/ewas/documentation#/","name":"Help Pages","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/ewas/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/AtlasEwas","name":"@AtlasEwas","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001403","bsg-d001403"],"name":"FAIRsharing record for: Epigenome-Wide Association Study Atlas","abbreviation":"EWAS Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.50387f","doi":"10.25504/FAIRsharing.50387f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epigenome-Wide Association Study Atlas (EWAS) Atlas is a curated knowledgebase of EWAS data. EWAS Atlas focuses on DNA methylation and provides a trait enrichment analysis tool, which is capable of profiling trait-trait and trait-epigenome relationships. Incorporation of more epigenetic markers is planned.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12873}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenomics","Epigenetics"],"domains":["DNA methylation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2805,"pubmed_id":30364969,"title":"EWAS Atlas: a curated knowledgebase of epigenome-wide association studies.","year":2018,"url":"http://doi.org/10.1093/nar/gky1027","authors":"Li M,Zou D,Li Z,Gao R,Sang J,Zhang Y,Li R,Xia L,Zhang T,Niu G,Bao Y,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1027","created_at":"2021-09-30T08:27:44.952Z","updated_at":"2021-09-30T11:29:45.255Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":686,"relation":"undefined"}],"grants":[{"id":3716,"fairsharing_record_id":2902,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.486Z","updated_at":"2021-09-30T09:26:24.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2904","type":"fairsharing_records","attributes":{"created_at":"2020-03-11T13:35:34.000Z","updated_at":"2023-12-15T10:31:36.546Z","metadata":{"doi":"10.25504/FAIRsharing.483ea0","name":"GWAS Atlas","status":"ready","contacts":[{"contact_name":"GWAS Atlas Helpdesk","contact_email":"gwas@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/gwas/","citations":[{"doi":"10.1093/nar/gkz828","pubmed_id":31566222,"publication_id":2794}],"identifier":2904,"description":"The GWAS Atlas is a manually curated resource of genome-wide variant-trait associations for a wide range of species.","abbreviation":"GWAS Atlas","data_curation":{"url":"https://ngdc.cncb.ac.cn/gwas/documentation#pipe","type":"manual","notes":"The standardized curation process involves literature search, information retrieval, integration \u0026 annotation and database construction."},"support_links":[{"url":"https://bigd.big.ac.cn/gwas/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/gwas/documentation","name":"GWAS Atlas Documentation","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ngdc.cncb.ac.cn/gwas/documentation#submit","type":"controlled","notes":"Authentification to the NGDC (National Genomics Data Center) Central Authentication Service is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001405","bsg-d001405"],"name":"FAIRsharing record for: GWAS Atlas","abbreviation":"GWAS Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.483ea0","doi":"10.25504/FAIRsharing.483ea0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GWAS Atlas is a manually curated resource of genome-wide variant-trait associations for a wide range of species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12875}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Phenotype","Genome-wide association study","Genotype"],"taxonomies":["Brassica napus","Capra hircus","Glycine max","Gossypium hirsutum","Oryza sativa","Prunus mume","Sorghum bicolor","Sus scrofa","Zea mays"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2794,"pubmed_id":31566222,"title":"GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals.","year":2019,"url":"http://doi.org/10.1093/nar/gkz828","authors":"Tian D,Wang P,Tang B,Teng X,Li C,Liu X,Zou D,Song S,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz828","created_at":"2021-09-30T08:27:43.544Z","updated_at":"2021-09-30T11:29:44.953Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1134,"relation":"undefined"}],"grants":[{"id":8148,"fairsharing_record_id":2904,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:31:11.546Z","updated_at":"2021-09-30T09:31:11.594Z","grant_id":1056,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"Youth Innovation Promotion Association (2018134)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3718,"fairsharing_record_id":2904,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.535Z","updated_at":"2021-09-30T09:26:24.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3719,"fairsharing_record_id":2904,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:26:24.560Z","updated_at":"2021-09-30T09:29:45.187Z","grant_id":386,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"13th Five-year Informatization Plan (XXH13505-05)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8222,"fairsharing_record_id":2904,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:31:37.581Z","updated_at":"2021-09-30T09:31:37.633Z","grant_id":1255,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"Strategic Priority Research Program (XDA08020102)","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2894","type":"fairsharing_records","attributes":{"created_at":"2020-03-10T10:22:08.000Z","updated_at":"2023-11-23T13:48:35.199Z","metadata":{"doi":"10.25504/FAIRsharing.a308a0","name":"DDBJ BioProject","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"trace@ddbj.nig.ac.jp"}],"homepage":"https://www.ddbj.nig.ac.jp/bioproject/index-e.html","citations":[],"identifier":2894,"description":"The DDBJ BioProject resource organizes both the projects and the data from those projects which is deposited into several archival databases maintained by members of the INSDC. This allows searching by characteristics of these projects, using the project description and project content across the INSDC-associated databases. It works in partnership with the NCBI BioProject repository.","abbreviation":"DDBJ BioProject","data_curation":{"url":"https://www.ddbj.nig.ac.jp/biosample/submission-e.html","type":"manual/automated"},"support_links":[{"url":"https://www.ddbj.nig.ac.jp/contact-e.html","name":"DDBJ Contact Form","type":"Contact form"},{"url":"https://www.ddbj.nig.ac.jp/faq/en/index-e.html?tag=bioproject","name":"BioProject FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ddbj.nig.ac.jp/bioproject/submission-e.html","name":"General Information and Submission","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ddbj.nig.ac.jp/bioproject/submission-e.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001395","bsg-d001395"],"name":"FAIRsharing record for: DDBJ BioProject","abbreviation":"DDBJ BioProject","url":"https://fairsharing.org/10.25504/FAIRsharing.a308a0","doi":"10.25504/FAIRsharing.a308a0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DDBJ BioProject resource organizes both the projects and the data from those projects which is deposited into several archival databases maintained by members of the INSDC. This allows searching by characteristics of these projects, using the project description and project content across the INSDC-associated databases. It works in partnership with the NCBI BioProject repository.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Experimental measurement","Annotation","Genomic assembly","Protocol","Sequencing","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"DDBJ Policies and Disclaimers","licence_id":230,"licence_url":"https://www.ddbj.nig.ac.jp/policies-e.html","link_id":2269,"relation":"undefined"}],"grants":[{"id":3707,"fairsharing_record_id":2894,"organisation_id":252,"relation":"maintains","created_at":"2021-09-30T09:26:24.260Z","updated_at":"2021-09-30T09:26:24.260Z","grant_id":null,"is_lead":true,"saved_state":{"id":252,"name":"Bioinformation and DDBJ Center","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2895","type":"fairsharing_records","attributes":{"created_at":"2020-03-19T09:42:00.000Z","updated_at":"2023-06-23T09:28:34.843Z","metadata":{"name":"Virtual Chinese Genome Database","status":"deprecated","contacts":[],"homepage":"https://bigd.big.ac.cn/vcg/","citations":[{"doi":"10.1186/1471-2164-15-265","pubmed_id":24708222,"publication_id":2614}],"identifier":2895,"description":"Virtual Chinese Genome Database (VCGDB) is a genome database of the Chinese population based on the whole genome sequencing data of 194 individuals. We are unsure when this database was last updated, and as such we have marked this record as Uncertain. Please contact us if you have any information on its current status.","abbreviation":"VCGDB","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2023-05-04","deprecation_reason":"Data access is no longer available. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001396","bsg-d001396"],"name":"FAIRsharing record for: Virtual Chinese Genome Database","abbreviation":"VCGDB","url":"https://fairsharing.org/fairsharing_records/2895","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Virtual Chinese Genome Database (VCGDB) is a genome database of the Chinese population based on the whole genome sequencing data of 194 individuals. We are unsure when this database was last updated, and as such we have marked this record as Uncertain. Please contact us if you have any information on its current status.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12869}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Comparative Genomics","Population Genetics"],"domains":["Whole genome sequencing","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2614,"pubmed_id":24708222,"title":"VCGDB: a dynamic genome database of the Chinese population.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-265","authors":"Ling Y,Jin Z,Su M,Zhong J,Zhao Y,Yu J,Wu J,Xiao J","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-265","created_at":"2021-09-30T08:27:20.912Z","updated_at":"2021-09-30T08:27:20.912Z"}],"licence_links":[],"grants":[{"id":3708,"fairsharing_record_id":2895,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.285Z","updated_at":"2021-09-30T09:26:24.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2897","type":"fairsharing_records","attributes":{"created_at":"2020-02-21T14:43:11.000Z","updated_at":"2023-12-15T10:32:17.192Z","metadata":{"doi":"10.25504/FAIRsharing.szgagY","name":"Data.CDC.gov","status":"ready","contacts":[{"contact_name":"Data@cdc.gov","contact_email":"data@cdc.gov"}],"homepage":"https://data.cdc.gov","identifier":2897,"description":"Data.CDC.gov hosts data sets published by the Centers for Disease Control and Prevention on public health topics.","abbreviation":"Data.CDC.gov","data_curation":{"type":"not found"},"support_links":[{"url":"data@cdc.gov","name":"Data.CDC.gov support team","type":"Support email"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001398","bsg-d001398"],"name":"FAIRsharing record for: Data.CDC.gov","abbreviation":"Data.CDC.gov","url":"https://fairsharing.org/10.25504/FAIRsharing.szgagY","doi":"10.25504/FAIRsharing.szgagY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data.CDC.gov hosts data sets published by the Centers for Disease Control and Prevention on public health topics.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12870},{"linking_record_name":"White House Office of Science and Technology Policy Collection","linking_record_id":4259,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16395}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Public Health"],"domains":[],"taxonomies":["Bacteria","environmental samples","Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"CDC Privacy Policy","licence_id":109,"licence_url":"http://www.cdc.gov/Other/privacy.html","link_id":1095,"relation":"undefined"},{"licence_name":"HHS Privacy Policy","licence_id":392,"licence_url":"http://www.hhs.gov/privacy.html","link_id":1094,"relation":"undefined"},{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1093,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2877","type":"fairsharing_records","attributes":{"created_at":"2019-12-30T11:31:59.000Z","updated_at":"2024-01-27T11:20:52.239Z","metadata":{"doi":"10.25504/FAIRsharing.fae0b7","name":"Registry of Research Data Repositories","status":"ready","contacts":[{"contact_name":"re3data contact","contact_email":"info@re3data.org"}],"homepage":"https://www.re3data.org/","citations":[{"doi":"10.17616/R3D","pubmed_id":null,"publication_id":3604},{"doi":"10.1371/journal.pone.0078080","pubmed_id":null,"publication_id":3606}],"identifier":2877,"description":"re3data.org is a global registry of research data repositories that covers research data repositories from different academic disciplines. It presents repositories for the permanent storage and access of data sets to researchers, funding bodies, publishers and scholarly institutions. re3data.org promotes a culture of sharing, increased access and better visibility of research data.","abbreviation":"re3data","data_curation":{"url":"https://www.re3data.org/faq","type":"manual","notes":"Before a new record of a RDR is published in re3data all gathered information is reviewed by a second team member."},"support_links":[{"url":"https://www.re3data.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.re3data.org/about","name":"About","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","cross_references":[],"data_access_condition":{"url":"https://www.re3data.org/about","type":"open"},"resource_sustainability":{"url":"https://www.re3data.org/about","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.re3data.org/faq","type":"controlled","notes":"How can I add a research data repository to re3data?"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001378","bsg-d001378"],"name":"FAIRsharing record for: Registry of Research Data Repositories","abbreviation":"re3data","url":"https://fairsharing.org/10.25504/FAIRsharing.fae0b7","doi":"10.25504/FAIRsharing.fae0b7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: re3data.org is a global registry of research data repositories that covers research data repositories from different academic disciplines. It presents repositories for the permanent storage and access of data sets to researchers, funding bodies, publishers and scholarly institutions. re3data.org promotes a culture of sharing, increased access and better visibility of research data.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15082}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":3604,"pubmed_id":null,"title":"re3data.org - Registry of Research Data Repositories","year":2021,"url":"https://doi.org/10.17616/R3D","authors":"re3data","journal":"Online","doi":"10.17616/R3D","created_at":"2022-10-01T00:19:33.777Z","updated_at":"2022-10-01T00:21:59.130Z"},{"id":3605,"pubmed_id":null,"title":"Metadata Schema for the Description of Research Data Repositories: version 3.1, re3data, 37 p.","year":2021,"url":"https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007395","authors":"Strecker, D., Bertelmann, R., Cousijn, H., Elger, K., Ferguson, L. M., Fichtmüller, D., Goebelbecker, H.-J., Kindling, M., Kloska, G., Nguyen, T. B., Pampel, H., Petras, V., Schabinger, R., Schnepf, E., Semrau, A., Trofimenko, M., Ulrich, R., Upmeier, A., Vierkant, P., Weisweiler, N. L., Wang, Y., Witt, M.","journal":"Online","doi":"10.48440/re3.010","created_at":"2022-10-01T00:21:38.698Z","updated_at":"2022-10-01T00:21:38.698Z"},{"id":3606,"pubmed_id":null,"title":"Making Research Data Repositories Visible: The re3data.org Registry","year":2013,"url":"http://dx.doi.org/10.1371/journal.pone.0078080","authors":"Pampel, Heinz; Vierkant, Paul; Scholze, Frank; Bertelmann, Roland; Kindling, Maxi; Klump, Jens; Goebelbecker, Hans-Jürgen; Gundlach, Jens; Schirmbacher, Peter; Dierolf, Uwe; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0078080","created_at":"2022-10-01T00:24:05.204Z","updated_at":"2022-10-01T00:24:05.204Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2442,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2897,"relation":"applies_to_content"}],"grants":[{"id":3670,"fairsharing_record_id":2877,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:23.059Z","updated_at":"2021-09-30T09:26:23.059Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3671,"fairsharing_record_id":2877,"organisation_id":647,"relation":"maintains","created_at":"2021-09-30T09:26:23.085Z","updated_at":"2022-09-28T11:54:01.955Z","grant_id":null,"is_lead":true,"saved_state":{"id":647,"name":"DataCite","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":9940,"fairsharing_record_id":2877,"organisation_id":3722,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.769Z","updated_at":"2022-10-01T00:08:30.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":3722,"name":"Purdue University Libraries","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":9941,"fairsharing_record_id":2877,"organisation_id":3724,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.806Z","updated_at":"2022-10-01T00:08:30.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":3724,"name":"Helmholtz Open Science","types":["Undefined"],"is_lead":false,"relation":"collaborates_on"}},{"id":9942,"fairsharing_record_id":2877,"organisation_id":1624,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.845Z","updated_at":"2022-10-01T00:08:30.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":1624,"name":"Karlsruhe Institute of Technology","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9943,"fairsharing_record_id":2877,"organisation_id":3725,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.883Z","updated_at":"2022-10-01T00:08:30.883Z","grant_id":null,"is_lead":false,"saved_state":{"id":3725,"name":" German Initiative for Network Information","types":["Undefined"],"is_lead":false,"relation":"collaborates_on"}},{"id":10396,"fairsharing_record_id":2877,"organisation_id":1284,"relation":"collaborates_on","created_at":"2023-03-13T11:11:43.891Z","updated_at":"2023-03-13T11:11:43.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":1284,"name":"Humboldt-Universität zu Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBc0VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a4c43cbd0da7ed77259f2f760dd661b1d2bbabbe/re3datalogo_black.png?disposition=inline","exhaustive_licences":false}},{"id":"2879","type":"fairsharing_records","attributes":{"created_at":"2020-01-07T17:11:15.000Z","updated_at":"2023-12-15T10:32:43.275Z","metadata":{"doi":"10.25504/FAIRsharing.7IQk4a","name":"Primate Cell Type Database","status":"ready","contacts":[{"contact_name":"Eric S. Kuebler","contact_email":"ekuebler@uwo.ca","contact_orcid":"0000-0002-6816-156X"}],"homepage":"https://primatedatabase.com/","identifier":2879,"description":"PrimateDatabase.com, a publicly available web-accessible archive of intracellular patch clamp recordings and highly detailed three-dimensional digital reconstructions of neuronal morphology. PrimateDatabase.com is unique because it is currently the largest collection of non-human primate (NHP) intracellular recordings.","abbreviation":"PCTD","data_curation":{"type":"not found"},"support_links":[{"url":"primate.database@gmail.com","name":"Contact PCTD","type":"Support email"},{"url":"https://primatedatabase.com/ourTeam.html","name":"About the PCTD Team","type":"Help documentation"}],"year_creation":2019,"data_versioning":"not found","associated_tools":[{"url":"https://primatedatabase.com/morphology.html","name":"Morphology Reconstruction Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013202","name":"re3data:r3d100013202","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001380","bsg-d001380"],"name":"FAIRsharing record for: Primate Cell Type Database","abbreviation":"PCTD","url":"https://fairsharing.org/10.25504/FAIRsharing.7IQk4a","doi":"10.25504/FAIRsharing.7IQk4a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PrimateDatabase.com, a publicly available web-accessible archive of intracellular patch clamp recordings and highly detailed three-dimensional digital reconstructions of neuronal morphology. PrimateDatabase.com is unique because it is currently the largest collection of non-human primate (NHP) intracellular recordings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Electrophysiology"],"domains":["Cell morphology","RNA sequencing","Immunohistochemistry"],"taxonomies":["Macaca fascicularis","Rhesus macaques"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1699,"relation":"undefined"}],"grants":[{"id":3679,"fairsharing_record_id":2879,"organisation_id":2452,"relation":"maintains","created_at":"2021-09-30T09:26:23.410Z","updated_at":"2021-09-30T09:26:23.410Z","grant_id":null,"is_lead":true,"saved_state":{"id":2452,"name":"Robarts Research Institute, London, Canada","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2880","type":"fairsharing_records","attributes":{"created_at":"2020-01-28T11:35:24.000Z","updated_at":"2023-06-22T17:01:13.061Z","metadata":{"doi":"10.25504/FAIRsharing.56a0Uj","name":"GeoNames","status":"ready","contacts":[{"contact_name":"Marc Wick","contact_email":"marc@geonames.org"}],"homepage":"https://www.geonames.org/","citations":[],"identifier":2880,"description":"GeoNames integrates geographical data such as names of places in various languages, elevation, population and others from various sources. Users may manually edit, correct and add new names using a user friendly wiki interface.","abbreviation":"GeoNames","data_curation":{"url":"https://www.geonames.org/about.html","type":"manual"},"support_links":[{"url":"http://forum.geonames.org/","name":"GeoNames Forum","type":"Forum"},{"url":"https://www.geonames.org/manual.html","name":"User Manual","type":"Help documentation"},{"url":"https://www.geonames.org/recent-changes.html","name":"Recent Changes","type":"Help documentation"},{"url":"https://www.geonames.org/data-sources.html","name":"Data Sources","type":"Help documentation"},{"url":"https://www.geonames.org/statistics/","name":"Statistics","type":"Help documentation"},{"url":"https://www.geonames.org/export/client-libraries.html","name":"Client Libraries","type":"Help documentation"},{"url":"https://www.geonames.org/about.html","name":"About GeoNames","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GeoNames","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010245","name":"re3data:r3d100010245","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.geonames.org/datasources/","type":"controlled","notes":"Primarily drawn from multiple data sources, though some annotation and creation of data is allowed for certain users."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001381","bsg-d001381"],"name":"FAIRsharing record for: GeoNames","abbreviation":"GeoNames","url":"https://fairsharing.org/10.25504/FAIRsharing.56a0Uj","doi":"10.25504/FAIRsharing.56a0Uj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeoNames integrates geographical data such as names of places in various languages, elevation, population and others from various sources. Users may manually edit, correct and add new names using a user friendly wiki interface.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1730,"relation":"undefined"}],"grants":[{"id":3680,"fairsharing_record_id":2880,"organisation_id":1124,"relation":"maintains","created_at":"2021-09-30T09:26:23.434Z","updated_at":"2021-09-30T09:26:23.434Z","grant_id":null,"is_lead":true,"saved_state":{"id":1124,"name":"GeoNames Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2899","type":"fairsharing_records","attributes":{"created_at":"2020-03-03T14:34:27.000Z","updated_at":"2022-07-20T12:44:43.809Z","metadata":{"name":"Date Palm Resequence Database","status":"deprecated","contacts":[{"contact_name":"Yiming Bao","contact_email":"baoym@big.ac.cn","contact_orcid":"0000-0002-9922-9723"}],"homepage":"http://drdb.big.ac.cn/home","citations":[{"doi":"10.3389/fpls.2017.01889","pubmed_id":29209336,"publication_id":2535}],"identifier":2899,"description":"The Date Palm Resequence Database (DRDB) is an online genomic resource database for date palm. It was created to distinguish different sub-types of date palms and mine genetic variation of interest. The DRDB includes SNPs (single nucleotide polymorphisms) and SSRs (short sequence repeats) from 62 date palm cultivars. Also included are pre-calculated SNPs and SSRs markers for classification and diversity; PCR primers for SNPs and SSRs markers; information on the phylogenetic relationships of all cultivars and their geographic distribution; and coding SNPs and their effects on amino acids.","abbreviation":"DRDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://drdb.big.ac.cn/documentation","name":"Documentation","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001400","bsg-d001400"],"name":"FAIRsharing record for: Date Palm Resequence Database","abbreviation":"DRDB","url":"https://fairsharing.org/fairsharing_records/2899","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Date Palm Resequence Database (DRDB) is an online genomic resource database for date palm. It was created to distinguish different sub-types of date palms and mine genetic variation of interest. The DRDB includes SNPs (single nucleotide polymorphisms) and SSRs (short sequence repeats) from 62 date palm cultivars. Also included are pre-calculated SNPs and SSRs markers for classification and diversity; PCR primers for SNPs and SSRs markers; information on the phylogenetic relationships of all cultivars and their geographic distribution; and coding SNPs and their effects on amino acids.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12871}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Agriculture","Comparative Genomics"],"domains":["Geographical location","Food","Microsatellite","Single nucleotide polymorphism","Genome"],"taxonomies":["Phoenix dactylifera"],"user_defined_tags":[],"countries":["China","Saudi Arabia"],"publications":[{"id":2535,"pubmed_id":29209336,"title":"DRDB: An Online Date Palm Genomic Resource Database.","year":2017,"url":"http://doi.org/10.3389/fpls.2017.01889","authors":"He Z,Zhang C,Liu W,Lin Q,Wei T,Aljohi HA,Chen WH,Hu S","journal":"Front Plant Sci","doi":"10.3389/fpls.2017.01889","created_at":"2021-09-30T08:27:10.968Z","updated_at":"2021-09-30T08:27:10.968Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1472,"relation":"undefined"}],"grants":[{"id":3713,"fairsharing_record_id":2899,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.411Z","updated_at":"2021-09-30T09:26:24.411Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2900","type":"fairsharing_records","attributes":{"created_at":"2020-03-05T13:46:58.000Z","updated_at":"2023-12-15T10:30:20.262Z","metadata":{"doi":"10.25504/FAIRsharing.cd9b23","name":"BioCode","status":"ready","contacts":[{"contact_name":"Yiming Bao","contact_email":"baoym@big.ac.cn","contact_orcid":"0000-0002-9922-9723"}],"homepage":"https://bigd.big.ac.cn/biocode","identifier":2900,"description":"BioCode is a repository for bioinformatics software.","abbreviation":"BioCode","data_curation":{"type":"not found"},"support_links":[{"url":"https://bigd.big.ac.cn/biocode/home/stats","name":"Statistics","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001401","bsg-d001401"],"name":"FAIRsharing record for: BioCode","abbreviation":"BioCode","url":"https://fairsharing.org/10.25504/FAIRsharing.cd9b23","doi":"10.25504/FAIRsharing.cd9b23","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioCode is a repository for bioinformatics software.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Software Engineering"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1355,"relation":"undefined"}],"grants":[{"id":3714,"fairsharing_record_id":2900,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.435Z","updated_at":"2021-09-30T09:26:24.435Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2891","type":"fairsharing_records","attributes":{"created_at":"2020-02-06T14:09:34.000Z","updated_at":"2023-12-15T10:33:02.380Z","metadata":{"doi":"10.25504/FAIRsharing.KcCjL7","name":"RNAcentral","status":"ready","contacts":[{"contact_name":"Anton I Petrov","contact_email":"apetrov@ebi.ac.uk"}],"homepage":"https://rnacentral.org","citations":[{"doi":"10.1093/nar/gky1034","pubmed_id":30395267,"publication_id":1750}],"identifier":2891,"description":"RNAcentral is a free, public resource that offers integrated access to a comprehensive and up-to-date set of non-coding RNA sequences provided by a collaborating group of databases representing a broad range of organisms and RNA types.","abbreviation":"RNAcentral","data_curation":{"type":"not found"},"support_links":[{"url":"https://blog.rnacentral.org/","name":"RNAcentral Blog","type":"Blog/News"},{"url":"https://rnacentral.org/contact","name":"Contact Form","type":"Contact form"},{"url":"http://github.com/RNAcentral/rnacentral-webcode/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://rnacentral.org/api","name":"API Overview","type":"Help documentation"},{"url":"https://rnacentral.org/help/genomic-mapping","name":"Genomic Mapping Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/secondary-structure","name":"Secondary Structure Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/rfam-annotations","name":"Rfam Annotations Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/text-search","name":"Text Search Guide","type":"Help documentation"},{"url":"https://rnacentral.org/help","name":"Help Pages","type":"Help documentation"},{"url":"https://rnacentral.org/help/gene-ontology-annotations","name":"GO Annotations Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/rna-target-interactions","name":"RNA Target Interactions Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/conserved-motifs","name":"Conserved RNA Motifs Help","type":"Help documentation"},{"url":"https://github.com/RNAcentral/","name":"GitHub Repository","type":"Github"},{"url":"https://rnacentral.org/about-us","name":"About RNAcentral","type":"Help documentation"},{"url":"https://rnacentral.org/expert-databases","name":"Collaborating Databases","type":"Help documentation"},{"url":"https://blog.rnacentral.org/feeds/posts/default","name":"News (RSS)","type":"Blog/News"},{"url":"https://rnacentral.org/training","name":"RNAcentral Training","type":"Training documentation"},{"url":"https://twitter.com/RNAcentral","name":"@RNAcentral","type":"Twitter"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"url":"https://rnacentral.org/help/text-search","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://rnacentral.org/help","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001392","bsg-d001392"],"name":"FAIRsharing record for: RNAcentral","abbreviation":"RNAcentral","url":"https://fairsharing.org/10.25504/FAIRsharing.KcCjL7","doi":"10.25504/FAIRsharing.KcCjL7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAcentral is a free, public resource that offers integrated access to a comprehensive and up-to-date set of non-coding RNA sequences provided by a collaborating group of databases representing a broad range of organisms and RNA types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["Nucleic acid sequence","RNA sequence","Sequence annotation","Non-coding RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1750,"pubmed_id":30395267,"title":"RNAcentral: a hub of information for non-coding RNA sequences.","year":2018,"url":"http://doi.org/10.1093/nar/gky1034","authors":"The RNAcentral Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1034","created_at":"2021-09-30T08:25:36.393Z","updated_at":"2021-09-30T11:29:20.219Z"},{"id":2790,"pubmed_id":27794554,"title":"RNAcentral: a comprehensive database of non-coding RNA sequences.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1008","authors":"Petrov AI,Kay SJE,Kalvari I,Howe KL,Gray KA,Bruford EA,Kersey PJ,Cochrane G,Finn RD,Bateman A,Kozomara A,Griffiths-Jones S,Frankish A,Zwieb CW,Lau BY,Williams KP,Chan PP,Lowe TM,Cannone JJ,Gutell R,Machnicka MA,Bujnicki JM,Yoshihama M,Kenmochi N,Chai B,Cole JR,Szymanski M,Karlowski WM,Wood V,Huala E,Berardini TZ,Zhao Y,Chen R,Zhu W,Paraskevopoulou MD,Vlachos IS,Hatzigeorgiou AG,Ma L,Zhang Z,Puetz J,Stadler PF,McDonald D,Basu S,Fey P,Engel SR,Cherry JM,Volders PJ,Mestdagh P,Wower J,Clark MB,Quek XC,Dinger ME","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1008","created_at":"2021-09-30T08:27:43.079Z","updated_at":"2021-09-30T11:29:44.762Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1831,"relation":"undefined"}],"grants":[{"id":3702,"fairsharing_record_id":2891,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:24.134Z","updated_at":"2021-09-30T09:26:24.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3701,"fairsharing_record_id":2891,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:24.110Z","updated_at":"2021-09-30T09:26:24.110Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2892","type":"fairsharing_records","attributes":{"created_at":"2020-03-03T11:20:20.000Z","updated_at":"2023-12-15T10:32:46.466Z","metadata":{"doi":"10.25504/FAIRsharing.8b493b","name":"Food and Agriculture Microdata Catalogue","status":"ready","contacts":[{"contact_name":"FAM Helpdesk","contact_email":"FAM-Catalogue@fao.org"}],"homepage":"https://microdata.fao.org/index.php/catalog","identifier":2892,"description":"The Food and Agriculture Microdata (FAM) Catalogue provides an inventory of datasets collected through farm and household surveys which contain information related to agriculture, food security, and nutrition. The FAM catalogue is populated by datasets which are collected directly by FAO and datasets whose collection are supported in some way by FAO. Our aim is to be a one-stop-shop containing metadata on all agricultural censuses and surveys which are publically available as well as provide direct access and/or links to the microdata. FAM is continuously updated as new datasets from FAO and member countries become available. Organizations which collect relevant data are also highly encouraged to submit datasets for dissemination through FAM.","abbreviation":"FAM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.fao.org/food-agriculture-microdata/en/","name":"About FAO Microdata","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001393","bsg-d001393"],"name":"FAIRsharing record for: Food and Agriculture Microdata Catalogue","abbreviation":"FAM","url":"https://fairsharing.org/10.25504/FAIRsharing.8b493b","doi":"10.25504/FAIRsharing.8b493b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Food and Agriculture Microdata (FAM) Catalogue provides an inventory of datasets collected through farm and household surveys which contain information related to agriculture, food security, and nutrition. The FAM catalogue is populated by datasets which are collected directly by FAO and datasets whose collection are supported in some way by FAO. Our aim is to be a one-stop-shop containing metadata on all agricultural censuses and surveys which are publically available as well as provide direct access and/or links to the microdata. FAM is continuously updated as new datasets from FAO and member countries become available. Organizations which collect relevant data are also highly encouraged to submit datasets for dissemination through FAM.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Food Security","Agriculture","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"FAO copyright","licence_id":311,"licence_url":"http://www.fao.org/contact-us/terms/en/","link_id":417,"relation":"undefined"}],"grants":[{"id":3705,"fairsharing_record_id":2892,"organisation_id":2928,"relation":"funds","created_at":"2021-09-30T09:26:24.210Z","updated_at":"2021-09-30T09:26:24.210Z","grant_id":null,"is_lead":false,"saved_state":{"id":2928,"name":"United States Agency for International Development","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3703,"fairsharing_record_id":2892,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:26:24.161Z","updated_at":"2021-09-30T09:26:24.161Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3704,"fairsharing_record_id":2892,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:26:24.184Z","updated_at":"2021-09-30T09:26:24.184Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2875","type":"fairsharing_records","attributes":{"created_at":"2019-12-19T13:56:27.000Z","updated_at":"2024-04-29T14:08:33.692Z","metadata":{"doi":"10.25504/FAIRsharing.DXjTQ8","name":"InterMine","status":"ready","contacts":[{"contact_name":"The InterMine team","contact_email":"info@intermine.org"}],"homepage":"http://intermine.org/","citations":[{"doi":"10.1093/bioinformatics/bts577","pubmed_id":23023984,"publication_id":505}],"identifier":2875,"description":"InterMine was formed in 2002 at the University of Cambridge, originally as a Drosophila-dedicated resource, before expanding to become organism-agnostic, enabling a large range of organisations around the world to create their own InterMines. There are many instances of InterMine installations, relating to particular model organisms. These can be searched individually or via a cross-Mine search function.","abbreviation":"InterMine","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://intermineorg.wordpress.com/","name":"InterMine Blog","type":"Blog/News"},{"url":"http://intermine.org/intermine-user-docs/","name":"User help documentation","type":"Help documentation"},{"url":"https://lists.intermine.org/pipermail/dev/","name":"Developer mailing list","type":"Mailing list"},{"url":"https://github.com/intermine","name":"InterMine GitHub","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/model-organism-analysis-using-intermine","name":"Model organism analysis using Intermine","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-operator-manual","name":"InterMine operator manual","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-2-0","name":"Intermine 2.0","type":"TeSS links to training materials"},{"url":"https://twitter.com/intermineorg","name":"@intermineorg","type":"Twitter"}],"year_creation":2002,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001376","bsg-d001376"],"name":"FAIRsharing record for: InterMine","abbreviation":"InterMine","url":"https://fairsharing.org/10.25504/FAIRsharing.DXjTQ8","doi":"10.25504/FAIRsharing.DXjTQ8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InterMine was formed in 2002 at the University of Cambridge, originally as a Drosophila-dedicated resource, before expanding to become organism-agnostic, enabling a large range of organisations around the world to create their own InterMines. There are many instances of InterMine installations, relating to particular model organisms. These can be searched individually or via a cross-Mine search function.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11132},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11417},{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11698},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11891}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Integration","Knowledge and Information Systems","Data Management","Database Management"],"domains":["Data model","Data storage","Knowledge representation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":505,"pubmed_id":23023984,"title":"InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts577","authors":"Smith RN,Aleksic J,Butano D,Carr A,Contrino S,Hu F,Lyne M,Lyne R,Kalderimis A,Rutherford K,Stepan R,Sullivan J,Wakeling M,Watkins X,Micklem G","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts577","created_at":"2021-09-30T08:23:15.044Z","updated_at":"2021-09-30T08:23:15.044Z"},{"id":2008,"pubmed_id":24753429,"title":"InterMine: extensive web services for modern biology.","year":2014,"url":"http://doi.org/10.1093/nar/gku301","authors":"Kalderimis A,Lyne R,Butano D,Contrino S,Lyne M,Heimbach J,Hu F,Smith R,Stepan R,Sullivan J,Micklem G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku301","created_at":"2021-09-30T08:26:06.197Z","updated_at":"2021-09-30T11:29:25.560Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1661,"relation":"undefined"}],"grants":[{"id":3666,"fairsharing_record_id":2875,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:26:22.959Z","updated_at":"2021-09-30T09:26:22.959Z","grant_id":null,"is_lead":true,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3665,"fairsharing_record_id":2875,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:22.934Z","updated_at":"2021-09-30T09:26:22.934Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3667,"fairsharing_record_id":2875,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:22.985Z","updated_at":"2021-09-30T09:26:22.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2876","type":"fairsharing_records","attributes":{"created_at":"2019-12-30T06:52:27.000Z","updated_at":"2023-07-06T15:01:52.764Z","metadata":{"doi":"10.25504/FAIRsharing.Xb3LBL","name":"Population Health Data Archive","status":"ready","contacts":[{"contact_name":"PHDA","contact_email":"rkjkpt@126.com"}],"homepage":"http://www.ncmi.cn/","citations":[{"doi":"10.11925/infotech.2096-3467.2020.0954 ","pubmed_id":null,"publication_id":3896}],"identifier":2876,"description":"The National Population Health Data Center (NPHDC) is one of the 20 national science data center approved by the Ministry of Science and Technology and the Ministry of Finance. The Population Health Data Archive (PHDA) is developed by NPHDC relying on the Institute of Medical Information, Chinese Academy of Medical Sciences. PHDA mainly receives scientific data from science and technology projects supported by the national budget, and also collects data from other multiple sources such as medical and health institutions, research institutions and social individuals, which is oriented to the national big data strategy and the healthy China strategy. The data resources cover basic medicine, clinical medicine, public health, traditional Chinese medicine and pharmacy, pharmacy, population and reproduction. PHDA supports data collection, archiving, processing, storage, curation, verification, certification and release in the field of population health. Provide multiple types of data sharing and application services for different hierarchy users and help them find, access, interoperate and reuse the data in a safe and controlled environment. PHDA provides important support for promoting the open sharing of scientific data of population health and domestic and foreign cooperation.","abbreviation":"PHDA","data_curation":{"url":"https://www.ncmi.cn/phda/support.html?type=aboutuss","type":"manual/automated"},"support_links":[{"url":"http://www.ncmi.cn/phda/support.html?type=aboutus","name":"Contact","type":"Contact form"},{"url":"https://www.ncmi.cn/phda/support.html?type=guide05","name":"Support","type":"Help documentation"},{"url":"https://www.ncmi.cn/phda/video_list.html","name":"Training","type":"Training documentation"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"http://www.ncmi.cn/phda/submit.html","name":"data submit"},{"url":"http://www.ncmi.cn/phda/service.html","name":"data service"},{"url":"http://www.ncmi.cn/phda/browse.html","name":"data browse"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013199","name":"re3data:r3d100013199","portal":"re3data"}],"data_access_condition":{"type":"partially open","notes":"The data are accessible on request, after validation of the request."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.ncmi.cn/phda/support.html?type=aboutuss","name":"More information"},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001377","bsg-d001377"],"name":"FAIRsharing record for: Population Health Data Archive","abbreviation":"PHDA","url":"https://fairsharing.org/10.25504/FAIRsharing.Xb3LBL","doi":"10.25504/FAIRsharing.Xb3LBL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Population Health Data Center (NPHDC) is one of the 20 national science data center approved by the Ministry of Science and Technology and the Ministry of Finance. The Population Health Data Archive (PHDA) is developed by NPHDC relying on the Institute of Medical Information, Chinese Academy of Medical Sciences. PHDA mainly receives scientific data from science and technology projects supported by the national budget, and also collects data from other multiple sources such as medical and health institutions, research institutions and social individuals, which is oriented to the national big data strategy and the healthy China strategy. The data resources cover basic medicine, clinical medicine, public health, traditional Chinese medicine and pharmacy, pharmacy, population and reproduction. PHDA supports data collection, archiving, processing, storage, curation, verification, certification and release in the field of population health. Provide multiple types of data sharing and application services for different hierarchy users and help them find, access, interoperate and reuse the data in a safe and controlled environment. PHDA provides important support for promoting the open sharing of scientific data of population health and domestic and foreign cooperation.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12865}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genomics","Reproductive Health","Clinical Studies","Public Health","Proteomics","Human Genetics","Pharmacy","Life Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":3896,"pubmed_id":null,"title":"Data Archive for Research Projects in Population Health","year":2020,"url":"https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2020.0954","authors":"Wu Sizhu,Qian Qing,Zhou Wei,Zhong Ming,Wang Anran,Xiu Xiaolei,Gou Huan,Li Zanmei,Li Jiao,Fang An","journal":"Data Analysis and Knowledge Discovery","doi":"10.11925/infotech.2096-3467.2020.0954 ","created_at":"2023-06-09T07:12:33.577Z","updated_at":"2023-06-09T07:12:33.577Z"}],"licence_links":[],"grants":[{"id":3668,"fairsharing_record_id":2876,"organisation_id":513,"relation":"maintains","created_at":"2021-09-30T09:26:23.008Z","updated_at":"2021-09-30T09:26:23.008Z","grant_id":null,"is_lead":false,"saved_state":{"id":513,"name":"Chinese Academy of Medical Sciences \u0026 Peking Union Medical College","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3669,"fairsharing_record_id":2876,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:26:23.034Z","updated_at":"2021-09-30T09:29:11.845Z","grant_id":135,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"Precision medicine research; 2016YFC0901602","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2888","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T13:23:13.000Z","updated_at":"2023-12-15T10:30:10.139Z","metadata":{"doi":"10.25504/FAIRsharing.3J6NYn","name":"Encyclopedia of Life","status":"ready","contacts":[{"contact_name":"EOL Secretariat","contact_email":"secretariat@eol.org","contact_orcid":"0000-0002-9943-2342"}],"homepage":"https://eol.org/","citations":[],"identifier":2888,"description":"The Encyclopedia of Life (EOL) is a collaborative encyclopedia to describe all known living species. It identifies sources of biodiversity knowledge that are legally and practically shareable; integrates them with other sources and adds metadata; provides searching and other services; and collaborates with other projects to support data sharing.","abbreviation":"EOL","data_curation":{"url":"https://eol.org/docs/what-is-eol","type":"manual/automated"},"support_links":[{"url":"secretariat@eol.org","name":"Jen Hammock","type":"Support email"},{"url":"https://discuss.eol.org/","name":"EOL Open Forum","type":"Forum"},{"url":"https://eol.org/docs/what-is-eol","name":"About","type":"Help documentation"},{"url":"https://twitter.com/eol","name":"@eol","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://vera.cc.gatech.edu/docs/example","name":"VERA Modelling 1.1.3"},{"url":"https://education.eol.org/card_maker","name":"EOL Biodiversity Cards 2020"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010229","name":"re3data:r3d100010229","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005905","name":"SciCrunch:RRID:SCR_005905","portal":"SciCrunch"}],"data_access_condition":{"url":"https://eol.org/docs/what-is-eol/data-services","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001389","bsg-d001389"],"name":"FAIRsharing record for: Encyclopedia of Life","abbreviation":"EOL","url":"https://fairsharing.org/10.25504/FAIRsharing.3J6NYn","doi":"10.25504/FAIRsharing.3J6NYn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Encyclopedia of Life (EOL) is a collaborative encyclopedia to describe all known living species. It identifies sources of biodiversity knowledge that are legally and practically shareable; integrates them with other sources and adds metadata; provides searching and other services; and collaborates with other projects to support data sharing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Ecology","Biodiversity","Biology"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Egypt","Mexico","United States"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1722,"relation":"undefined"},{"licence_name":"Various Creative Commons licenses","licence_id":838,"licence_url":"https://creativecommons.org/licenses/","link_id":1721,"relation":"undefined"}],"grants":[{"id":3696,"fairsharing_record_id":2888,"organisation_id":212,"relation":"maintains","created_at":"2021-09-30T09:26:23.969Z","updated_at":"2021-09-30T09:26:23.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":212,"name":"Bibliotheca Alexandrina","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3697,"fairsharing_record_id":2888,"organisation_id":2579,"relation":"maintains","created_at":"2021-09-30T09:26:24.003Z","updated_at":"2021-09-30T09:26:24.003Z","grant_id":null,"is_lead":false,"saved_state":{"id":2579,"name":"Smithsonian National Museum of Natural History, Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2889","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T13:39:57.000Z","updated_at":"2023-12-15T10:31:35.341Z","metadata":{"doi":"10.25504/FAIRsharing.9b63c9","name":"Catalogue of Life","status":"ready","contacts":[{"contact_name":"COL Support","contact_email":"support@sp2000.org"},{"contact_name":"Olaf Bánki","contact_email":"olaf.banki@naturalis.nl","contact_orcid":"0000-0001-6197-9951"}],"homepage":"https://www.catalogueoflife.org/","citations":[],"identifier":2889,"description":"The Catalogue of Life (COL) stores information on species and their distribution across the globe. It consists of a single integrated species checklist and taxonomic hierarchy. The Catalogue holds essential information on the names, relationships and distributions of over 1.8 million species. This figure continues to rise as information is compiled from diverse sources around the world. The Catalogue of Life provides critical species information on: synonymy enabling the effective referral of alternative species names to an accepted name; higher taxa within which a species is clustered; and distribution identifying the global regions from which a species is known.","abbreviation":"COL","data_curation":{"url":"https://www.catalogueoflife.org/about/colpipeline","type":"manual"},"support_links":[{"url":"http://blog.catalogueoflife.org/","name":"COL Blog","type":"Blog/News"},{"url":"https://www.catalogueoflife.org/about/glossary.html","name":"Glossary","type":"Help documentation"},{"url":"https://www.catalogueoflife.org/about/colpipeline","name":"Data Pipeline","type":"Help documentation"},{"url":"https://www.catalogueoflife.org/about/catalogueoflife","name":"About","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011241","name":"re3data:r3d100011241","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006701","name":"SciCrunch:RRID:SCR_006701","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.catalogueoflife.org/about/colpipeline#constructing-the-col-checklist","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001390","bsg-d001390"],"name":"FAIRsharing record for: Catalogue of Life","abbreviation":"COL","url":"https://fairsharing.org/10.25504/FAIRsharing.9b63c9","doi":"10.25504/FAIRsharing.9b63c9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Catalogue of Life (COL) stores information on species and their distribution across the globe. It consists of a single integrated species checklist and taxonomic hierarchy. The Catalogue holds essential information on the names, relationships and distributions of over 1.8 million species. This figure continues to rise as information is compiled from diverse sources around the world. The Catalogue of Life provides critical species information on: synonymy enabling the effective referral of alternative species names to an accepted name; higher taxa within which a species is clustered; and distribution identifying the global regions from which a species is known.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18164},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13909}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Biodiversity"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":79,"relation":"undefined"}],"grants":[{"id":9673,"fairsharing_record_id":2889,"organisation_id":3594,"relation":"collaborates_on","created_at":"2022-07-13T12:06:05.592Z","updated_at":"2022-07-13T12:06:05.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":3594,"name":"Illinois Natural History Survey","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9674,"fairsharing_record_id":2889,"organisation_id":2094,"relation":"collaborates_on","created_at":"2022-07-13T12:06:05.737Z","updated_at":"2022-07-13T12:06:05.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":2094,"name":"Naturalis Biodiversity Center","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8847,"fairsharing_record_id":2889,"organisation_id":1166,"relation":"collaborates_on","created_at":"2022-02-10T13:19:00.094Z","updated_at":"2022-02-10T13:19:00.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":3698,"fairsharing_record_id":2889,"organisation_id":2614,"relation":"maintains","created_at":"2021-09-30T09:26:24.027Z","updated_at":"2021-09-30T09:26:24.027Z","grant_id":null,"is_lead":true,"saved_state":{"id":2614,"name":"Species 2000 Secretariat, Naturalis Biodiversity Center","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBamtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0128323693d50142f35e8b8611af053259133f88/col_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2890","type":"fairsharing_records","attributes":{"created_at":"2020-01-23T14:48:45.000Z","updated_at":"2023-12-15T10:30:37.153Z","metadata":{"doi":"10.25504/FAIRsharing.f6f1cd","name":"European and Mediterranean Plant Protection Organization Global Database","status":"ready","contacts":[{"contact_name":"EPPO Secretariat","contact_email":"hq@eppo.int"}],"homepage":"https://gd.eppo.int/","citations":[],"identifier":2890,"description":"The European and Mediterranean Plant Protection Organization Global Database (EPPO) GD provides all pest-specific information that has been produced or collected by EPPO. Data includes plant and pest species (such as scientific names, synonyms, common names in different languages, taxonomic position, EPPO codes and geographic distribution), EPPO datasheets and PRA reports, and images.","abbreviation":"EPPO GD","data_curation":{"url":"https://gd.eppo.int/media/files/photos_user-guide.pdf","type":"manual"},"support_links":[{"url":"https://gd.eppo.int/contact","name":"EPPO GD Contact Form","type":"Contact form"},{"url":"https://gd.eppo.int/media/files/general_user-guide_2019_09.pdf","name":"User Guide","type":"Help documentation"},{"url":"https://twitter.com/EPPOnews","name":"@EPPOnews","type":"Twitter"}],"year_creation":1990,"data_versioning":"yes","associated_tools":[{"url":"https://gd.eppo.int/gddesktop/","name":"EPPO GD Desktop 2019.06.28"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012225","name":"re3data:r3d100012225","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gd.eppo.int/media/files/photos_user-guide.pdf","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001391","bsg-d001391"],"name":"FAIRsharing record for: European and Mediterranean Plant Protection Organization Global Database","abbreviation":"EPPO GD","url":"https://fairsharing.org/10.25504/FAIRsharing.f6f1cd","doi":"10.25504/FAIRsharing.f6f1cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European and Mediterranean Plant Protection Organization Global Database (EPPO) GD provides all pest-specific information that has been produced or collected by EPPO. Data includes plant and pest species (such as scientific names, synonyms, common names in different languages, taxonomic position, EPPO codes and geographic distribution), EPPO datasheets and PRA reports, and images.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Forest Management","Agriculture"],"domains":["Geographical location","Pathogen"],"taxonomies":["All"],"user_defined_tags":["Invasive Species"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":3699,"fairsharing_record_id":2890,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:24.052Z","updated_at":"2021-09-30T09:26:24.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3700,"fairsharing_record_id":2890,"organisation_id":874,"relation":"maintains","created_at":"2021-09-30T09:26:24.084Z","updated_at":"2021-09-30T09:26:24.084Z","grant_id":null,"is_lead":true,"saved_state":{"id":874,"name":"EPPO Secretariat","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2886","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T12:49:11.000Z","updated_at":"2023-12-15T10:29:48.176Z","metadata":{"doi":"10.25504/FAIRsharing.yNNTvk","name":"Biodiversity Heritage Library","status":"ready","contacts":[{"contact_name":"BHL Feedback","contact_email":"feedback@biodiversitylibrary.org"}],"homepage":"https://biodiversitylibrary.org/","citations":[],"identifier":2886,"description":"The Biodiversity Heritage Library (BHL) is the world’s largest open access digital library for biodiversity literature and archives. Operating as an international library consortium, BHL provides free access to millions of pages, representing over 500 years of scientific research, alongside services like data exports, APIs, and taxonomic intelligence tools to facilitate discovery and reuse of data and collections.","abbreviation":"BHL","data_curation":{"url":"https://about.biodiversitylibrary.org/tools-and-services/data-disclaimer/","type":"manual/automated","notes":"The data in BHL’s collection is sourced and aggregated from its consortium partners and Internet Archive contributors. It is provided “as is,” without express or implied warranty as to accuracy, reliability, or fitness for any particular application. The data for digitized legacy materials is curated to the best of our ability to facilitate the discovery of BHL"},"support_links":[{"url":"https://blog.biodiversitylibrary.org/","name":"BHL Blog","type":"Blog/News"},{"url":"https://about.biodiversitylibrary.org/help/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://about.biodiversitylibrary.org/help/","name":"Help Pages","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/about/bhl-community/#Altmetric","name":"Altmetrics","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/","name":"About","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/ufaq-category/dois_uris/","name":"DOI Generation","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/about/bhl-consortium/#BHLparticipatingInstitutions","name":"BHL Members","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/about/bhl-funding/","name":"Funding Details","type":"Help documentation"},{"url":"https://github.com/gbhl/bhl-us","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/BioDivLibrary","name":"@BioDivLibrary","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"https://about.biodiversitylibrary.org/ufaq-category/scinames/","name":"Scientific Names Tools"},{"url":"https://about.biodiversitylibrary.org/ufaq-category/reftools/","name":"Reference Management Tools"}],"data_access_condition":{"url":"https://about.biodiversitylibrary.org/ufaqs/how-do-i-get-all-the-data-about-bhl-books-and-scientific-names/","type":"open","notes":"BHL provides all its bibliographic and scientific name data for download and reuse via various web-services"},"resource_sustainability":{"url":"https://about.biodiversitylibrary.org/ufaqs/how-is-bhl-funded/","name":"How is BHL funded?"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://about.biodiversitylibrary.org/ufaqs/can-i-contribute-content-to-the-bhl-collection/","type":"controlled","notes":"Incorporating content from outside our consortium partnership is tricky, but we would be glad to review your content for inclusion."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001387","bsg-d001387"],"name":"FAIRsharing record for: Biodiversity Heritage Library","abbreviation":"BHL","url":"https://fairsharing.org/10.25504/FAIRsharing.yNNTvk","doi":"10.25504/FAIRsharing.yNNTvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biodiversity Heritage Library (BHL) is the world’s largest open access digital library for biodiversity literature and archives. Operating as an international library consortium, BHL provides free access to millions of pages, representing over 500 years of scientific research, alongside services like data exports, APIs, and taxonomic intelligence tools to facilitate discovery and reuse of data and collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biodiversity"],"domains":["Citation","Bibliography","Journal article","Publication","Data storage","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2735,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1055,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1054,"relation":"applies_to_content"}],"grants":[{"id":3694,"fairsharing_record_id":2886,"organisation_id":2745,"relation":"maintains","created_at":"2021-09-30T09:26:23.903Z","updated_at":"2021-09-30T09:26:23.903Z","grant_id":null,"is_lead":true,"saved_state":{"id":2745,"name":"The Biodiversity Heritage Library (BHL)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBOQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7b189ae7502b038e3c531a8d9c0d7a32f863dd05/BHL-Combined-About-300x97.png?disposition=inline","exhaustive_licences":false}},{"id":"2887","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T13:04:35.000Z","updated_at":"2023-12-15T10:32:19.233Z","metadata":{"doi":"10.25504/FAIRsharing.dfd3a1","name":"Plants of the World Online","status":"ready","contacts":[{"contact_name":"POWO Team","contact_email":"bi@kew.org"}],"homepage":"http://powo.science.kew.org/","citations":[],"identifier":2887,"description":"The Plants of the World Online portal (POWO), is a database created to store information on all the world's known seed-bearing plants.Coverage will increase over time. Data comes from a variety of sources which are both monographic (global) and regional in scope. These data sources vary in the extent to which comprehensive synonymy is included, their stage of development (proximity to publication) and the degree to which they have been exposed to peer review.","abbreviation":"POWO","data_curation":{"url":"https://powo.science.kew.org/compilers-and-reviewers","type":"manual"},"support_links":[{"url":"http://powo.science.kew.org/search-help","name":"Help","type":"Help documentation"},{"url":"http://powo.science.kew.org/about","name":"About POWO","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001388","bsg-d001388"],"name":"FAIRsharing record for: Plants of the World Online","abbreviation":"POWO","url":"https://fairsharing.org/10.25504/FAIRsharing.dfd3a1","doi":"10.25504/FAIRsharing.dfd3a1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plants of the World Online portal (POWO), is a database created to store information on all the world's known seed-bearing plants.Coverage will increase over time. Data comes from a variety of sources which are both monographic (global) and regional in scope. These data sources vary in the extent to which comprehensive synonymy is included, their stage of development (proximity to publication) and the degree to which they have been exposed to peer review.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany"],"domains":["Data storage"],"taxonomies":["Spermatophyta"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"POWO Terms of use","licence_id":905,"licence_url":"https://www.kew.org/terms-of-use","link_id":2579,"relation":"applies_to_content"}],"grants":[{"id":3695,"fairsharing_record_id":2887,"organisation_id":2461,"relation":"maintains","created_at":"2021-09-30T09:26:23.936Z","updated_at":"2021-09-30T09:26:23.936Z","grant_id":null,"is_lead":true,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew, London, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2905","type":"fairsharing_records","attributes":{"created_at":"2020-03-11T13:52:50.000Z","updated_at":"2023-12-15T10:33:00.048Z","metadata":{"doi":"10.25504/FAIRsharing.7qBaJ0","name":"Genome Warehouse","status":"ready","contacts":[{"contact_name":"GWH Helpdesk","contact_email":"gwh@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/gwh/","identifier":2905,"description":"The Genome Warehouse (GWH) is a public archival resource housing genome-scale data for a wide range of species. GWH accepts a variety of data types, including whole genome, chloroplast, mitochondrion and plasmid. For each collected genome assembly, GWH incorporates descriptive information including biological sample metadata, genome assembly metadata, sequence data and genome annotation, and offers standardized quality control for genome sequence and annotation.","abbreviation":"GWH","data_curation":{"url":"https://ngdc.cncb.ac.cn/gwh/documents/Gsub-GWH_Submission_Quick_Start_Guide-beta.pdf","type":"automated","notes":"Gsub system checks all submitted files."},"support_links":[{"url":"https://bigd.big.ac.cn/gwh/documents","name":"Documentation for GWH Submission","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/gwh/statistics/index","name":"Statistics","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/gwh/tool_documents","name":"Documentation for GWH Tools","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013428","name":"re3data:r3d100013428","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ngdc.cncb.ac.cn/gwh/documents/Gsub-GWH_Submission_Quick_Start_Guide-beta.pdf","type":"open","notes":"Free account is required for data deposition."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001406","bsg-d001406"],"name":"FAIRsharing record for: Genome Warehouse","abbreviation":"GWH","url":"https://fairsharing.org/10.25504/FAIRsharing.7qBaJ0","doi":"10.25504/FAIRsharing.7qBaJ0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome Warehouse (GWH) is a public archival resource housing genome-scale data for a wide range of species. GWH accepts a variety of data types, including whole genome, chloroplast, mitochondrion and plasmid. For each collected genome assembly, GWH incorporates descriptive information including biological sample metadata, genome assembly metadata, sequence data and genome annotation, and offers standardized quality control for genome sequence and annotation.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12336},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12876}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Virology","Microbiology"],"domains":["DNA sequence data","Genome annotation","Genomic assembly","Plasmid","Mitochondrial sequence","Chloroplast sequence","Genome"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["China"],"publications":[{"id":513,"pubmed_id":30365034,"title":"Database Resources of the BIG Data Center in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky993","authors":"BIG Data Center Members.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky993","created_at":"2021-09-30T08:23:15.990Z","updated_at":"2021-09-30T11:28:46.885Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":445,"relation":"undefined"}],"grants":[{"id":3720,"fairsharing_record_id":2905,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.585Z","updated_at":"2021-09-30T09:26:24.585Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2906","type":"fairsharing_records","attributes":{"created_at":"2020-03-11T14:30:19.000Z","updated_at":"2023-06-23T10:41:37.687Z","metadata":{"doi":"10.25504/FAIRsharing.d90938","name":"Information Commons for Rice","status":"ready","contacts":[{"contact_name":"Lili Hao","contact_email":"haolili@big.ac.cn"}],"homepage":"http://ic4r.org","citations":[{"doi":"10.1093/nar/gkv1141","pubmed_id":26519466,"publication_id":2724}],"identifier":2906,"description":"Information Commons for Rice (IC4R) is a rice knowledgebase that incorporates rice data through multiple modules such as genome-wide expression profiles derived entirely from RNA-Seq data, resequencing-based genomic variations obtained from re-sequencing data of thousands of rice varieties, plant homologous genes covering multiple diverse plant species, post-translational modifications, rice-related literatures and gene annotations contributed by the rice research community.","abbreviation":"IC4R","data_curation":{"type":"not found"},"support_links":[{"url":"sangj@big.ac.cn","name":"Jian Sang","type":"Support email"},{"url":"http://ic4r.org/faq","name":"IC4R FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://ic4r.org/contact","name":"Contact Information","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Users can contribute by improving annotation but they can't deposit data"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001407","bsg-d001407"],"name":"FAIRsharing record for: Information Commons for Rice","abbreviation":"IC4R","url":"https://fairsharing.org/10.25504/FAIRsharing.d90938","doi":"10.25504/FAIRsharing.d90938","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Information Commons for Rice (IC4R) is a rice knowledgebase that incorporates rice data through multiple modules such as genome-wide expression profiles derived entirely from RNA-Seq data, resequencing-based genomic variations obtained from re-sequencing data of thousands of rice varieties, plant homologous genes covering multiple diverse plant species, post-translational modifications, rice-related literatures and gene annotations contributed by the rice research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","DNA sequence data","Genome annotation","Gene expression","RNA sequencing","Homologous"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":507,"pubmed_id":29036542,"title":"Database Resources of the BIG Data Center in 2018.","year":2017,"url":"http://doi.org/10.1093/nar/gkx897","authors":"BIG Data Center Members ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx897","created_at":"2021-09-30T08:23:15.298Z","updated_at":"2021-09-30T11:29:51.279Z"},{"id":2724,"pubmed_id":26519466,"title":"Information Commons for Rice (IC4R).","year":2015,"url":"http://doi.org/10.1093/nar/gkv1141","authors":"Hao L,Zhang H,Zhang Z,Hu S,Xue Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1141","created_at":"2021-09-30T08:27:34.611Z","updated_at":"2021-09-30T11:29:41.878Z"},{"id":2821,"pubmed_id":24136999,"title":"RiceWiki: a wiki-based database for community curation of rice genes.","year":2013,"url":"http://doi.org/10.1093/nar/gkt926","authors":"Zhang Z,Sang J,Ma L,Wu G,Wu H,Huang D,Zou D,Liu S,Li A,Hao L,Tian M,Xu C,Wang X,Wu J,Xiao J,Dai L,Chen LL,Hu S,Yu J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt926","created_at":"2021-09-30T08:27:46.912Z","updated_at":"2021-09-30T11:29:46.539Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":108,"relation":"undefined"}],"grants":[{"id":3721,"fairsharing_record_id":2906,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.611Z","updated_at":"2021-09-30T09:26:24.611Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2908","type":"fairsharing_records","attributes":{"created_at":"2020-03-16T11:54:12.000Z","updated_at":"2024-07-09T12:51:58.830Z","metadata":{"name":"Internal Control Genes","status":"deprecated","contacts":[{"contact_name":"Lili Hao","contact_email":"haolili@big.ac.cn"}],"homepage":"http://icg.big.ac.cn/index.php/Main_Page","citations":[{"doi":"10.1093/nar/gkx875","pubmed_id":29036693,"publication_id":2808}],"identifier":2908,"description":"Internal Control Genes (ICG) is a wiki-based knowledgebase of internal control genes (or reference genes) for RT-qPCR normalization in a variety of species across three domains of life. Based on community curation, ICG provides curated data from a large volume of literature and provides information on internal control genes corresponding to specific experimental conditions for both model and non-model organisms. ","abbreviation":"ICG","data_curation":{"type":"not found"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"http://icg.big.ac.cn/index.php/ICG:FAQ","name":"ICG FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://icg.big.ac.cn/index.php/ICG:Statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://bigd.big.ac.cn/gen/","name":"Gene Expression Nebulas (GEN) Data Portal"}],"deprecation_date":"2024-07-08","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001411","bsg-d001411"],"name":"FAIRsharing record for: Internal Control Genes","abbreviation":"ICG","url":"https://fairsharing.org/fairsharing_records/2908","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Internal Control Genes (ICG) is a wiki-based knowledgebase of internal control genes (or reference genes) for RT-qPCR normalization in a variety of species across three domains of life. Based on community curation, ICG provides curated data from a large volume of literature and provides information on internal control genes corresponding to specific experimental conditions for both model and non-model organisms. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12877}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics"],"domains":["Expression data","Real time polymerase chain reaction","Gene expression"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2808,"pubmed_id":29036693,"title":"ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization.","year":2017,"url":"http://doi.org/10.1093/nar/gkx875","authors":"Sang J,Wang Z,Li M,Cao J,Niu G,Xia L,Zou D,Wang F,Xu X,Han X,Fan J,Yang Y,Zuo W,Zhang Y,Zhao W,Bao Y,Xiao J,Hu S,Hao L,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx875","created_at":"2021-09-30T08:27:45.286Z","updated_at":"2021-09-30T11:29:45.520Z"}],"licence_links":[],"grants":[{"id":3723,"fairsharing_record_id":2908,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.683Z","updated_at":"2021-09-30T09:26:24.683Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2909","type":"fairsharing_records","attributes":{"created_at":"2020-03-16T13:55:06.000Z","updated_at":"2023-06-23T16:01:24.589Z","metadata":{"name":"Mammalian Transcriptomic Database","status":"uncertain","contacts":[{"contact_email":"junyu@big.ac.cn"}],"homepage":"http://mtd.cbi.ac.cn/","citations":[{"doi":"10.1093/bib/bbv117","pubmed_id":26822098,"publication_id":2810}],"identifier":2909,"description":"The Mammalian Transcriptomic Database (MTD) was created to store information on mammalian transcriptomes. The MTD allows browsing of genes based on their neighboring genomic coordinates or joint KEGG pathway and provides expression information on exons, transcripts and genes via a genome browser. The MTD also allows comparative transcriptomic analyses. The data in this resource has not been updated recently, and therefore we have marked this record as Uncertain. Please get in touch if you know the current status of this resource.","abbreviation":"MTD","data_curation":{"type":"not found"},"support_links":[{"url":"xiaojingfa@big.ac.cn","name":"xiaojingfa@big.ac.cn","type":"Support email"},{"url":"http://mtd.cbi.ac.cn/faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mtd.cbi.ac.cn/tutorial.php","name":"User Guide","type":"Help documentation"},{"url":"http://mtd.cbi.ac.cn/contact.php","name":"Contact Details","type":"Help documentation"},{"url":"http://mtd.cbi.ac.cn/pipeline.php","name":"Data Pipeline","type":"Help documentation"},{"url":"http://mtd.cbi.ac.cn/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://bigd.big.ac.cn/gen/","name":"Gene Expression Nebulas (GEN) Data Portal"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012214","name":"re3data:r3d100012214","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001412","bsg-d001412"],"name":"FAIRsharing record for: Mammalian Transcriptomic Database","abbreviation":"MTD","url":"https://fairsharing.org/fairsharing_records/2909","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mammalian Transcriptomic Database (MTD) was created to store information on mammalian transcriptomes. The MTD allows browsing of genes based on their neighboring genomic coordinates or joint KEGG pathway and provides expression information on exons, transcripts and genes via a genome browser. The MTD also allows comparative transcriptomic analyses. The data in this resource has not been updated recently, and therefore we have marked this record as Uncertain. Please get in touch if you know the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12878}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Transcriptomics"],"domains":["Expression data","Gene expression","RNA sequencing"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Sus scrofa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2810,"pubmed_id":26822098,"title":"MTD: a mammalian transcriptomic database to explore gene expression and regulation.","year":2016,"url":"http://doi.org/10.1093/bib/bbv117","authors":"Sheng X,Wu J,Sun Q,Li X,Xian F,Sun M,Fang W,Chen M,Yu J,Xiao J","journal":"Brief Bioinform","doi":"10.1093/bib/bbv117","created_at":"2021-09-30T08:27:45.523Z","updated_at":"2021-09-30T08:27:45.523Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1135,"relation":"undefined"}],"grants":[{"id":3724,"fairsharing_record_id":2909,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.721Z","updated_at":"2021-09-30T09:26:24.721Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2910","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T11:02:37.000Z","updated_at":"2023-06-23T15:09:39.291Z","metadata":{"doi":"10.25504/FAIRsharing.86ec7a","name":"Leaf Senescence Database","status":"ready","contacts":[{"contact_name":"Zhonghai Li","contact_email":"lizhonghai@bjfu.edu.cn"}],"homepage":"https://bigd.big.ac.cn/lsd/","citations":[{"doi":"10.1093/nar/gkz898","pubmed_id":31599330,"publication_id":2811}],"identifier":2910,"description":"The Leaf Senescence Database (LSD) is a comprehensive resource of senescence-associated genes (SAGs) and their corresponding mutants. LSD includes data types such as leaf senescence-associated transcriptomics, phenotype and interaction data.","abbreviation":"LSD","data_curation":{"type":"not found"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"https://bigd.big.ac.cn/lsd/faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bigd.big.ac.cn/lsd/help.php","name":"Help Pages","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/lsd/about.php","name":"About LSD","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001413","bsg-d001413"],"name":"FAIRsharing record for: Leaf Senescence Database","abbreviation":"LSD","url":"https://fairsharing.org/10.25504/FAIRsharing.86ec7a","doi":"10.25504/FAIRsharing.86ec7a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Leaf Senescence Database (LSD) is a comprehensive resource of senescence-associated genes (SAGs) and their corresponding mutants. LSD includes data types such as leaf senescence-associated transcriptomics, phenotype and interaction data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Transcriptomics","Plant Genetics"],"domains":["Molecular interaction","Phenotype"],"taxonomies":["Viridiplantae"],"user_defined_tags":["Senescence"],"countries":["China"],"publications":[{"id":2811,"pubmed_id":31599330,"title":"LSD 3.0: a comprehensive resource for the leaf senescence research community.","year":2019,"url":"http://doi.org/10.1093/nar/gkz898","authors":"Li Z,Zhang Y,Zou D,Zhao Y,Wang HL,Zhang Y,Xia X,Luo J,Guo H,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz898","created_at":"2021-09-30T08:27:45.637Z","updated_at":"2021-09-30T11:29:45.620Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":106,"relation":"undefined"}],"grants":[{"id":3725,"fairsharing_record_id":2910,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.754Z","updated_at":"2021-09-30T09:26:24.754Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2911","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T11:24:27.000Z","updated_at":"2023-12-15T10:28:14.519Z","metadata":{"doi":"10.25504/FAIRsharing.d1a9bd","name":"MethBank","status":"ready","contacts":[{"contact_name":"Rujiao Li","contact_email":"lirj@big.ac.cn"},{"contact_name":"General Contact","contact_email":"methbank@big.ac.cn","contact_orcid":null}],"homepage":"https://ngdc.cncb.ac.cn/methbank/","citations":[{"doi":"10.1093/nar/gkx1139","pubmed_id":29161430,"publication_id":2812}],"identifier":2911,"description":"MethBank stores DNA methylome data across a variety of species. MethBank integrates consensus reference methylomes (CRMs) compiled from healthy human samples at different ages, single-base resolution methylomes (SRMs) of both plant and animal species.","abbreviation":"MethBank","data_curation":{"url":"https://ngdc.cncb.ac.cn/methbank/faq","type":"manual/automated"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"methbank@big.ac.cn","name":"methbank@big.ac.cn","type":"Support email"},{"url":"https://bigd.big.ac.cn/methbank/faq","name":"FAQ and Documentation","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/methbank/release","name":"Release Notes","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"https://ngdc.cncb.ac.cn/methbank/tools/age/predictor","name":"Age Predictor"},{"url":"http://wbsa.big.ac.cn/","name":"Web Tools for Bisulphite Sequencing Data Analysis (WBSA)"},{"url":"https://ngdc.cncb.ac.cn/methbank/tools/dmr/toolkit","name":"DMR Toolkit"},{"url":"https://ngdc.cncb.ac.cn/methbank/tools/idmp","name":"Identification of Differentially Methylated Polymers (IDMP)"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001414","bsg-d001414"],"name":"FAIRsharing record for: MethBank","abbreviation":"MethBank","url":"https://fairsharing.org/10.25504/FAIRsharing.d1a9bd","doi":"10.25504/FAIRsharing.d1a9bd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MethBank stores DNA methylome data across a variety of species. MethBank integrates consensus reference methylomes (CRMs) compiled from healthy human samples at different ages, single-base resolution methylomes (SRMs) of both plant and animal species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12879}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenomics","Epigenetics"],"domains":["DNA methylation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2812,"pubmed_id":29161430,"title":"MethBank 3.0: a database of DNA methylomes across a variety of species.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1139","authors":"Li R,Liang F,Li M,Zou D,Sun S,Zhao Y,Zhao W,Bao Y,Xiao J,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1139","created_at":"2021-09-30T08:27:45.777Z","updated_at":"2021-09-30T11:29:45.720Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2718,"relation":"applies_to_content"}],"grants":[{"id":3726,"fairsharing_record_id":2911,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.787Z","updated_at":"2021-09-30T09:26:24.787Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaW9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--96394b571bd60ae8d555cf5283d5e3d8a46e1b61/mb.png?disposition=inline","exhaustive_licences":false}},{"id":"2912","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T12:58:02.000Z","updated_at":"2023-12-15T10:32:35.755Z","metadata":{"doi":"10.25504/FAIRsharing.436c95","name":"NucMap","status":"ready","contacts":[{"contact_name":"NucMap Helpdesk","contact_email":"nucmap@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/nucmap/","citations":[{"doi":"10.1093/nar/gky980","pubmed_id":30335176,"publication_id":2815}],"identifier":2912,"description":"NucMap is a database of genome-wide nucleosome positioning across multiple species. Based on raw sequence data from published studies, NucMap integrates, analyzes, and visualizes nucleosome positioning data across species.","abbreviation":"NucMap","data_curation":{"url":"https://ngdc.cncb.ac.cn/nucmap/Faq.php#q12","type":"manual/automated"},"support_links":[{"url":"https://bigd.big.ac.cn/nucmap/Faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bigd.big.ac.cn/nucmap/Data_statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"https://bigd.big.ac.cn/nucmap/Analysis.php","name":"Enrichment analysis of nucleosome occupancy"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001415","bsg-d001415"],"name":"FAIRsharing record for: NucMap","abbreviation":"NucMap","url":"https://fairsharing.org/10.25504/FAIRsharing.436c95","doi":"10.25504/FAIRsharing.436c95","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NucMap is a database of genome-wide nucleosome positioning across multiple species. Based on raw sequence data from published studies, NucMap integrates, analyzes, and visualizes nucleosome positioning data across species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12880}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Structural Biology"],"domains":["Molecular structure","DNA structural variation","Histone"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Candida albicans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Neurospora crassa","Oryza sativa","Plasmodium falciparum","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Trypanosoma brucei","Xenopus laevis","Zea mays"],"user_defined_tags":["Nucleosome"],"countries":["China"],"publications":[{"id":2815,"pubmed_id":30335176,"title":"NucMap: a database of genome-wide nucleosome positioning map across species.","year":2018,"url":"http://doi.org/10.1093/nar/gky980","authors":"Zhao Y,Wang J,Liang F,Liu Y,Wang Q,Zhang H,Jiang M,Zhang Z,Zhao W,Bao Y,Zhang Z,Wu J,Asmann YW,Li R,Xiao J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky980","created_at":"2021-09-30T08:27:46.169Z","updated_at":"2021-09-30T11:29:46.119Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1136,"relation":"undefined"}],"grants":[{"id":3727,"fairsharing_record_id":2912,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.810Z","updated_at":"2021-09-30T09:26:24.810Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2913","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T13:37:18.000Z","updated_at":"2023-12-15T10:30:42.380Z","metadata":{"doi":"10.25504/FAIRsharing.4ef690","name":"Plant Editosome Database","status":"ready","contacts":[{"contact_name":"Lili Hao","contact_email":"haolili@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/ped","citations":[{"doi":"10.1093/nar/gky1026","pubmed_id":30364952,"publication_id":2816}],"identifier":2913,"description":"The Plant Editosome Database (PED) is a curated database of plant RNA editing factors (editosomes). The data has been drawn from publications and organelle genome annotations. PED incorporates RNA editing factors and associated data across a number of plant species.","abbreviation":"PED","data_curation":{"url":"https://ngdc.cncb.ac.cn/ped/help#curationmodel","type":"manual"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"https://bigd.big.ac.cn/ped/help","name":"Help Pages","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001416","bsg-d001416"],"name":"FAIRsharing record for: Plant Editosome Database","abbreviation":"PED","url":"https://fairsharing.org/10.25504/FAIRsharing.4ef690","doi":"10.25504/FAIRsharing.4ef690","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Editosome Database (PED) is a curated database of plant RNA editing factors (editosomes). The data has been drawn from publications and organelle genome annotations. PED incorporates RNA editing factors and associated data across a number of plant species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Plant Genetics"],"domains":["RNA modification","Organelle"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2816,"pubmed_id":30364952,"title":"Plant editosome database: a curated database of RNA editosome in plants.","year":2018,"url":"http://doi.org/10.1093/nar/gky1026","authors":"Li M,Xia L,Zhang Y,Niu G,Li M,Wang P,Zhang Y,Sang J,Zou D,Hu S,Hao L,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1026","created_at":"2021-09-30T08:27:46.286Z","updated_at":"2021-09-30T11:29:46.212Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1264,"relation":"undefined"}],"grants":[{"id":3728,"fairsharing_record_id":2913,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.836Z","updated_at":"2021-09-30T09:26:24.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2914","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T14:22:27.000Z","updated_at":"2023-12-15T10:32:36.068Z","metadata":{"doi":"10.25504/FAIRsharing.0ee3ed","name":"PGG.Han","status":"ready","contacts":[{"contact_name":"PGG.Han Helpdesk","contact_email":"pggadmin@picb.ac.cn"}],"homepage":"https://www.biosino.org/pgghan2/index","citations":[{"doi":"10.1093/nar/gkz829","pubmed_id":31584086,"publication_id":2817}],"identifier":2914,"description":"The Han Chinese Genomes Database (PGG.Han 2.0) serves as the central repository of the genomic data of the Han Chinese Genomes Project (Phase II). As is its current version, PGG.Han 2.0 archives genomic data of 137,012 Han Chinese individuals (a.k.a. Han100K). Some computational tools are available, as is an interface for data analysis and results visualization.","abbreviation":"PGG.Han","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.biosino.org/pgghan2/about","name":"About","type":"Help documentation"},{"url":"https://www.biosino.org/pgghan2/help","name":"General Help","type":"Help documentation"},{"url":"https://www.biosino.org/pgghan2/data/summary","name":"Summary information for data sets","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","data_access_condition":{"url":"https://www.biosino.org/pgghan2/about","type":"partially open","notes":"Individual-level data not available; larger-scale data is available"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.biosino.org/pgghan2/about#tab-3","type":"not applicable","notes":"Data is taken from study participants only"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001417","bsg-d001417"],"name":"FAIRsharing record for: PGG.Han","abbreviation":"PGG.Han","url":"https://fairsharing.org/10.25504/FAIRsharing.0ee3ed","doi":"10.25504/FAIRsharing.0ee3ed","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Han Chinese Genomes Database (PGG.Han 2.0) serves as the central repository of the genomic data of the Han Chinese Genomes Project (Phase II). As is its current version, PGG.Han 2.0 archives genomic data of 137,012 Han Chinese individuals (a.k.a. Han100K). Some computational tools are available, as is an interface for data analysis and results visualization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Population Genetics"],"domains":["Single nucleotide polymorphism","Sequence variant","Genome-wide association study","Allele frequency"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2817,"pubmed_id":31584086,"title":"PGG.Han: the Han Chinese genome database and analysis platform.","year":2019,"url":"http://doi.org/10.1093/nar/gkz829","authors":"Gao Y,Zhang C,Yuan L,Ling Y,Wang X,Liu C,Pan Y,Zhang X,Ma X,Wang Y,Lu Y,Yuan K,Ye W,Qian J,Chang H,Cao R,Yang X,Ma L,Ju Y,Dai L,Tang Y,Zhang G,Xu S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz829","created_at":"2021-09-30T08:27:46.444Z","updated_at":"2021-09-30T11:29:46.305Z"}],"licence_links":[],"grants":[{"id":3729,"fairsharing_record_id":2914,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.860Z","updated_at":"2021-09-30T09:26:24.860Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3730,"fairsharing_record_id":2914,"organisation_id":381,"relation":"maintains","created_at":"2021-09-30T09:26:24.886Z","updated_at":"2021-09-30T09:26:24.886Z","grant_id":null,"is_lead":true,"saved_state":{"id":381,"name":"CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVlEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--cec6972537e8f66a4e1b285c446d47f8a2c6dc53/logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2936","type":"fairsharing_records","attributes":{"created_at":"2020-04-07T10:00:50.000Z","updated_at":"2023-05-05T10:54:25.810Z","metadata":{"doi":"10.25504/FAIRsharing.88637f","name":"Surveillance Epidemiology of Coronavirus (COVID-19) Under Research Exclusion - IBD","status":"deprecated","contacts":[{"contact_name":"Michael D. Kappelman","contact_email":"Michael_Kappelman@med.unc.edu","contact_orcid":"0000-0002-0469-6856"}],"homepage":"https://covidibd.org/","citations":[],"identifier":2936,"description":"Surveillance Epidemiology of Coronavirus Under Research Exclusion (SECURE-IBD) is an international, pediatric and adult database to monitor and report on outcomes of COVID-19 occurring in IBD patients. The goals of the registry is to rapidly define the impact of COVID-19 on patients with IBD and how factors such as age, comorbidities, and IBD treatments impact COVID outcomes.","abbreviation":"SECURE-IBD","data_curation":{"type":"not found"},"support_links":[{"url":"COVID.IBD@unc.edu","name":"General contact","type":"Support email"},{"url":"https://covidibd.org/faq/","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2020,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013313","name":"re3data:r3d100013313","portal":"re3data"}],"deprecation_date":"2023-05-05","deprecation_reason":"SECURE-IBD database is closed since January 24th, 2022.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001439","bsg-d001439"],"name":"FAIRsharing record for: Surveillance Epidemiology of Coronavirus (COVID-19) Under Research Exclusion - IBD","abbreviation":"SECURE-IBD","url":"https://fairsharing.org/10.25504/FAIRsharing.88637f","doi":"10.25504/FAIRsharing.88637f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Surveillance Epidemiology of Coronavirus Under Research Exclusion (SECURE-IBD) is an international, pediatric and adult database to monitor and report on outcomes of COVID-19 occurring in IBD patients. The goals of the registry is to rapidly define the impact of COVID-19 on patients with IBD and how factors such as age, comorbidities, and IBD treatments impact COVID outcomes.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12352},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12899}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Bowel disease","COVID-19"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3783,"fairsharing_record_id":2936,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:26:26.362Z","updated_at":"2021-09-30T09:26:26.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3784,"fairsharing_record_id":2936,"organisation_id":3107,"relation":"maintains","created_at":"2021-09-30T09:26:26.386Z","updated_at":"2021-09-30T09:26:26.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2937","type":"fairsharing_records","attributes":{"created_at":"2020-04-23T09:44:58.000Z","updated_at":"2022-07-20T12:34:25.850Z","metadata":{"name":"Disaster Lit","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"dimrc@nlm.nih.gov"}],"homepage":"https://disasterinfo.nlm.nih.gov/disaster-lit","identifier":2937,"description":"Disaster Lit: Database for Disaster Medicine and Public Health is the National Library of Medicine (NLM) database of links to disaster medicine and public health documents available on the Internet at no cost. Documents include expert guidelines, research reports, conference proceedings, training classes, fact sheets, websites, databases, and similar materials for a professional audience. NLM selects materials from over 1,400 non-commercial publishing sources and supplements disaster-related resources from PubMed (biomedical journal literature) and MedlinePlus (health information for the public).","abbreviation":"Disaster Lit","data_curation":{"type":"not found"},"support_links":[{"url":"https://disasterinfo.nlm.nih.gov/disaster-lit-help","type":"Help documentation"},{"url":"https://public.govdelivery.com/accounts/USNLMDIMRC/subscriber/new","type":"Mailing list"},{"url":"https://list.nih.gov/cgi-bin/wa.exe?SUBED1=disastr-outreach-lib\u0026A=1","name":"Interactive discussion list with other librarians, information specialists, and professionals","type":"Mailing list"},{"url":"https://disasterinfo.nlm.nih.gov/disaster-lit-about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/NLM_DIMRC","type":"Twitter"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-27","deprecation_reason":"This resource was discontinued in June 2021. Please see https://www.nlm.nih.gov/dimrc/disasterinfo.html for more information","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001441","bsg-d001441"],"name":"FAIRsharing record for: Disaster Lit","abbreviation":"Disaster Lit","url":"https://fairsharing.org/fairsharing_records/2937","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Disaster Lit: Database for Disaster Medicine and Public Health is the National Library of Medicine (NLM) database of links to disaster medicine and public health documents available on the Internet at no cost. Documents include expert guidelines, research reports, conference proceedings, training classes, fact sheets, websites, databases, and similar materials for a professional audience. NLM selects materials from over 1,400 non-commercial publishing sources and supplements disaster-related resources from PubMed (biomedical journal literature) and MedlinePlus (health information for the public).","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12353},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12900}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Virology","Biomedical Science","Epidemiology"],"domains":["Text mining"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NLM NIH Copyright","licence_id":593,"licence_url":"http://www.nlm.nih.gov/copyright.html","link_id":751,"relation":"undefined"}],"grants":[{"id":3785,"fairsharing_record_id":2937,"organisation_id":766,"relation":"maintains","created_at":"2021-09-30T09:26:26.412Z","updated_at":"2021-09-30T09:26:26.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":766,"name":"Disaster Information Management Research Center (DIMRC), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2915","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T14:36:37.000Z","updated_at":"2023-06-21T09:30:38.297Z","metadata":{"name":"PGG.SNV","status":"deprecated","contacts":[{"contact_name":"PGG.SNV Helpdesk","contact_email":"pggadmin@picb.ac.cn"}],"homepage":"https://www.pggsnv.org","citations":[{"doi":"10.1186/s13059-019-1838-5","pubmed_id":31640808,"publication_id":2820}],"identifier":2915,"description":"PGG.SNV is database for understanding the evolutionary and medical implications of human single nucleotide variation (SNV) on a population level. It documents more than 300,000 genomes and 10 billion allele frequencies records for diverse human ethnic groups.","abbreviation":"PGG.SNV","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.pggsnv.org/userguide.html","name":"User Guide","type":"Help documentation"},{"url":"https://www.pggsnv.org/statistics.html","name":"Statistics","type":"Help documentation"},{"url":"https://www.pggsnv.org/update.html","name":"News","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://www.pggsnv.org/tools.html","name":"Tool Listing"}],"deprecation_date":"2023-06-21","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001418","bsg-d001418"],"name":"FAIRsharing record for: PGG.SNV","abbreviation":"PGG.SNV","url":"https://fairsharing.org/fairsharing_records/2915","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PGG.SNV is database for understanding the evolutionary and medical implications of human single nucleotide variation (SNV) on a population level. It documents more than 300,000 genomes and 10 billion allele frequencies records for diverse human ethnic groups.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12881}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Population Genetics"],"domains":["Single nucleotide polymorphism","Sequence variant"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2820,"pubmed_id":31640808,"title":"PGG.SNV: understanding the evolutionary and medical implications of human single nucleotide variations in diverse populations.","year":2019,"url":"http://doi.org/10.1186/s13059-019-1838-5","authors":"Zhang C,Gao Y,Ning Z,Lu Y,Zhang X,Liu J,Xie B,Xue Z,Wang X,Yuan K,Ge X,Pan Y,Liu C,Tian L,Wang Y,Lu D,Hoh BP,Xu S","journal":"Genome Biol","doi":"10.1186/s13059-019-1838-5","created_at":"2021-09-30T08:27:46.797Z","updated_at":"2021-09-30T08:27:46.797Z"}],"licence_links":[],"grants":[{"id":3732,"fairsharing_record_id":2915,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.936Z","updated_at":"2021-09-30T09:26:24.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3731,"fairsharing_record_id":2915,"organisation_id":381,"relation":"maintains","created_at":"2021-09-30T09:26:24.910Z","updated_at":"2021-09-30T09:26:24.910Z","grant_id":null,"is_lead":true,"saved_state":{"id":381,"name":"CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2916","type":"fairsharing_records","attributes":{"created_at":"2020-04-02T11:08:25.000Z","updated_at":"2023-06-22T16:34:32.207Z","metadata":{"doi":"10.25504/FAIRsharing.ca4ce0","name":"The Global Health Observatory","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"gho_info@who.int","contact_orcid":null}],"homepage":"https://www.who.int/data/gho","citations":[],"identifier":2916,"description":"The GHO data repository is WHO's gateway to health-related statistics for its 194 Member States. It provides access to over 1000 indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.","abbreviation":"GHO","data_curation":{"type":"none"},"support_links":[{"url":"https://www.who.int/data/gho/info/contact-us","name":"Contact Us","type":"Contact form"},{"url":"https://www.who.int/data/gho/info/frequently-asked-questions","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"no","data_access_condition":{"url":"https://www.who.int/data/gho/info/about-the-observatory","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.who.int/data/gho/info/about-the-observatory","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001419","bsg-d001419"],"name":"FAIRsharing record for: The Global Health Observatory","abbreviation":"GHO","url":"https://fairsharing.org/10.25504/FAIRsharing.ca4ce0","doi":"10.25504/FAIRsharing.ca4ce0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GHO data repository is WHO's gateway to health-related statistics for its 194 Member States. It provides access to over 1000 indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12337},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12882},{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16781}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Services Research","Public Health","Health Science","Global Health","Primary Health Care","Virology","Epidemiology","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":3733,"fairsharing_record_id":2916,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:26:24.960Z","updated_at":"2022-07-19T19:56:22.638Z","grant_id":null,"is_lead":true,"saved_state":{"id":3252,"name":"World Health Organization","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2917","type":"fairsharing_records","attributes":{"created_at":"2020-04-17T10:16:04.000Z","updated_at":"2023-12-15T10:29:07.935Z","metadata":{"doi":"10.25504/FAIRsharing.ec45c4","name":"Coronavirus Antiviral Research Database","status":"ready","contacts":[{"contact_name":"HIV Drug resistance Database team","contact_email":"hivdbteam@stanford.edu"}],"homepage":"https://covdb.stanford.edu/","citations":[],"identifier":2917,"description":"COVDB contains cell culture, animal model, and clinical data on compounds with a proven or potential anti-coronavirus activity.","abbreviation":"COVDB","data_curation":{"url":"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0261045","type":"manual/automated"},"support_links":[{"url":"https://github.com/hivdb/covid-drdb-payload/issues/new?assignees=KaimingTao%2C+philiptzou\u0026labels=bug\u0026template=data-error-report.md\u0026title=%5BBUG%5D","name":"Report a bug","type":"Contact form"}],"year_creation":2020,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013298","name":"re3data:r3d100013298","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://github.com/hivdb/covid-drdb-payload/issues/new?assignees=KaimingTao\u0026labels=enhancement\u0026template=suggest-new-study.md\u0026title=%5BNew%5D","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001420","bsg-d001420"],"name":"FAIRsharing record for: Coronavirus Antiviral Research Database","abbreviation":"COVDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ec45c4","doi":"10.25504/FAIRsharing.ec45c4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: COVDB contains cell culture, animal model, and clinical data on compounds with a proven or potential anti-coronavirus activity.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12338},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12883}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Clinical Studies","Virology"],"domains":["Animal research","Cell culture"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"COVDB Terms of Use","licence_id":153,"licence_url":"https://covdb.stanford.edu/terms-of-use/","link_id":1634,"relation":"undefined"}],"grants":[{"id":3734,"fairsharing_record_id":2917,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:26:24.986Z","updated_at":"2021-09-30T09:26:24.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2919","type":"fairsharing_records","attributes":{"created_at":"2020-03-18T13:34:03.000Z","updated_at":"2023-06-23T15:54:30.807Z","metadata":{"doi":"10.25504/FAIRsharing.18e4a6","name":"piRBase","status":"ready","contacts":[{"contact_name":"Shunmin He","contact_email":"heshunmin@ibp.ac.cn"}],"homepage":"http://bigdata.ibp.ac.cn/piRBase/","citations":[{"doi":"10.1093/nar/gky1043","pubmed_id":30371818,"publication_id":2536}],"identifier":2919,"description":"piRBase stores information on piRNAs and piRNA-associated data to support piRNA functional analysis.","abbreviation":"piRBase","data_curation":{"type":"manual","notes":"piRBase is a manually curated resource focused on assisting piRNA functionality analysis."},"support_links":[{"url":"crs@ibp.ac.cn","name":"Runsheng Chen","type":"Support email"},{"url":"http://bigdata.ibp.ac.cn/piRBase/about.php#piRBase","name":"piRBase introduction","type":"Help documentation"},{"url":"http://bigdata.ibp.ac.cn/piRBase/about.php#tutorial","name":"piRBase Tutorial","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://bigdata.ibp.ac.cn/piRBase/tools.php","name":"porBase Tools"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001422","bsg-d001422"],"name":"FAIRsharing record for: piRBase","abbreviation":"piRBase","url":"https://fairsharing.org/10.25504/FAIRsharing.18e4a6","doi":"10.25504/FAIRsharing.18e4a6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: piRBase stores information on piRNAs and piRNA-associated data to support piRNA functional analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics"],"domains":["Function analysis","Non-coding RNA"],"taxonomies":["Bombyx mori","Bos taurus","Caenorhabditis elegans","Callithrix jacchus","Danio rerio","Drosophila erecta","Drosophila melanogaster","Drosophila virilis","Drosophila yakuba","Gallus gallus","Homo sapiens","Macaca fascicularis","Macaca mulatta","Mus musculus","Nematostella vectensis","Oryctolagus cuniculus","Rattus norvegicus","Tupaia belangeri","Xenopus tropicalis"],"user_defined_tags":["Piwi-interacting RNA (piRNA)"],"countries":["China"],"publications":[{"id":2536,"pubmed_id":30371818,"title":"piRBase: a comprehensive database of piRNA sequences.","year":2018,"url":"http://doi.org/10.1093/nar/gky1043","authors":"Wang J,Zhang P,Lu Y,Li Y,Zheng Y,Kan Y,Chen R,He S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1043","created_at":"2021-09-30T08:27:11.073Z","updated_at":"2021-09-30T11:29:38.987Z"}],"licence_links":[],"grants":[{"id":3738,"fairsharing_record_id":2919,"organisation_id":1633,"relation":"maintains","created_at":"2021-09-30T09:26:25.116Z","updated_at":"2021-09-30T09:26:25.116Z","grant_id":null,"is_lead":true,"saved_state":{"id":1633,"name":"Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3737,"fairsharing_record_id":2919,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:25.075Z","updated_at":"2021-09-30T09:26:25.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2920","type":"fairsharing_records","attributes":{"created_at":"2020-03-19T09:19:33.000Z","updated_at":"2023-12-15T10:32:11.501Z","metadata":{"name":"Sorghum Genome SNP Database","status":"uncertain","contacts":[{"contact_name":"SorGSD General Contact","contact_email":"sorgsd@big.ac.cn"}],"homepage":"http://sorgsd.big.ac.cn/","citations":[{"doi":"10.1186/s13068-015-0415-8","pubmed_id":26744602,"publication_id":2823}],"identifier":2920,"description":"The Sorghum Genome SNP Database (SorGSD) is a genome variation database for sorghum. Please note that this resource has not been updated since 2015, and therefore we have marked its status as Uncertain. Please contact us if you have information on its current status.","abbreviation":"SorGSD","data_curation":{"type":"not found"},"support_links":[{"url":"http://sorgsd.big.ac.cn/pages/help/faqs.jsp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://sorgsd.big.ac.cn/pages/about/resources.jsp","name":"Resources Used","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/about.jsp","name":"Overview of SorGSD","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/data_sources.jsp","name":"Pipeline Documentation","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/data_statistics.jsp","name":"Statistics","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/contact.jsp","name":"Contact Information","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/about/SorghumGenome.jsp","name":"About Sorghum","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/howtos.jsp","name":"How-To Examples","type":"Training documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://sorgsd.big.ac.cn/pages/search/compare_snp.jsp","name":"Comparison Tool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001423","bsg-d001423"],"name":"FAIRsharing record for: Sorghum Genome SNP Database","abbreviation":"SorGSD","url":"https://fairsharing.org/fairsharing_records/2920","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sorghum Genome SNP Database (SorGSD) is a genome variation database for sorghum. Please note that this resource has not been updated since 2015, and therefore we have marked its status as Uncertain. Please contact us if you have information on its current status.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Genomics","Agriculture","Plant Genetics"],"domains":["Single nucleotide polymorphism"],"taxonomies":["Sorghum bicolor"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2822,"pubmed_id":26884811,"title":"Erratum to: SorGSD: a sorghum genome SNP database.","year":2016,"url":"http://doi.org/10.1186/s13068-016-0450-0","authors":"Luo H,Zhao W,Wang Y,Xia Y,Wu X,Zhang L,Tang B,Zhu J,Fang L,Du Z,Bekele WA,Tai S,Jordan DR,Godwin ID,Snowdon RJ,Mace ES,Luo J,Jing HC","journal":"Biotechnol Biofuels","doi":"10.1186/s13068-016-0450-0","created_at":"2021-09-30T08:27:47.080Z","updated_at":"2021-09-30T08:27:47.080Z"},{"id":2823,"pubmed_id":26744602,"title":"SorGSD: a sorghum genome SNP database.","year":2016,"url":"http://doi.org/10.1186/s13068-015-0415-8","authors":"Luo H,Zhao W,Wang Y,Xia Y,Wu X,Zhang L,Tang B,Zhu J,Fang L,Du Z,Bekele WA,Tai S,Jordan DR,Godwin ID,Snowdon RJ,Mace ES,Jing HC,Luo J","journal":"Biotechnol Biofuels","doi":"10.1186/s13068-015-0415-8","created_at":"2021-09-30T08:27:47.189Z","updated_at":"2021-09-30T08:27:47.189Z"}],"licence_links":[],"grants":[{"id":3741,"fairsharing_record_id":2920,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:26:25.229Z","updated_at":"2021-09-30T09:26:25.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3739,"fairsharing_record_id":2920,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:25.158Z","updated_at":"2021-09-30T09:26:25.158Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3740,"fairsharing_record_id":2920,"organisation_id":1409,"relation":"maintains","created_at":"2021-09-30T09:26:25.196Z","updated_at":"2021-09-30T09:26:25.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":1409,"name":"Institute of Botany, Chinese Academy of Sciences (CAS), Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2921","type":"fairsharing_records","attributes":{"created_at":"2020-03-19T10:00:33.000Z","updated_at":"2022-07-20T10:51:24.962Z","metadata":{"name":"WikiCell","status":"deprecated","contacts":[{"contact_name":"WikiCell General Contact","contact_email":"wikicell@big.ac.cn"}],"homepage":"http://wikicell.big.ac.cn/index.php/Human","citations":[{"doi":"10.1089/omi.2011.0139","pubmed_id":22702248,"publication_id":2537}],"identifier":2921,"description":"WikiCell provides a wiki interface to information about the human transcriptome and stores information on Expressed Sequenced Tags (ESTs). Users can access, curate, and submit database data as well as browse, query, and up- and download sequences. Gene information is provided, including housekeeping genes, taxonomy location, and gene ontology (GO) description.","abbreviation":"WikiCell","data_curation":{"type":"not found"},"support_links":[{"url":"http://wikicell.big.ac.cn/index.php/Help:Contents","name":"Help Pages","type":"Help documentation"},{"url":"http://wikicell.big.ac.cn/index.php/Documents-url","name":"About","type":"Help documentation"},{"url":"http://wikicell.big.ac.cn/index.php/Special:Statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001424","bsg-d001424"],"name":"FAIRsharing record for: WikiCell","abbreviation":"WikiCell","url":"https://fairsharing.org/fairsharing_records/2921","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WikiCell provides a wiki interface to information about the human transcriptome and stores information on Expressed Sequenced Tags (ESTs). Users can access, curate, and submit database data as well as browse, query, and up- and download sequences. Gene information is provided, including housekeeping genes, taxonomy location, and gene ontology (GO) description.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12885}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Transcriptomics"],"domains":["Expression data"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2537,"pubmed_id":22702248,"title":"WikiCell: a unified resource platform for human transcriptomics research.","year":2012,"url":"http://doi.org/10.1089/omi.2011.0139","authors":"Zhao D,Wu J,Zhou Y,Gong W,Xiao J,Yu J","journal":"OMICS","doi":"10.1089/omi.2011.0139","created_at":"2021-09-30T08:27:11.183Z","updated_at":"2021-09-30T08:27:11.183Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License 1.2","licence_id":354,"licence_url":"https://www.gnu.org/licenses/old-licenses/fdl-1.2.en.html","link_id":1858,"relation":"undefined"}],"grants":[{"id":3742,"fairsharing_record_id":2921,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:25.263Z","updated_at":"2021-09-30T09:26:25.263Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2929","type":"fairsharing_records","attributes":{"created_at":"2020-05-02T13:14:23.000Z","updated_at":"2023-12-15T10:27:17.806Z","metadata":{"doi":"10.25504/FAIRsharing.JGEjCW","name":"The Tromsø Repository of Language and Linguistics","status":"ready","contacts":[{"contact_name":"UiT Research Data Support","contact_email":"researchdata@hjelp.uit.no"}],"homepage":"https://trolling.uit.no/","citations":[],"identifier":2929,"description":"The Tromsø Repository of Language and Linguistics (TROLLing) is a repository of data, code, and other related materials used in linguistic research. The repository is open access, which means that all information is available to everyone. All postings are accompanied by searchable metadata that identify the researchers, the languages and linguistic phenomena involved, the statistical methods applied, and scholarly publications based on the data (where relevant). DataverseNO is aligned with the FAIR Guiding Principles for scientific data management and stewardship. Being part of DataverseNO, TROLLing is CoreTrustSeal certified.","abbreviation":"TROLLing","data_curation":{"url":"https://site.uit.no/dataverseno/about/#data-curation-and-preservation","type":"manual"},"support_links":[{"url":"https://info.trolling.uit.no/","name":"The TROLLing Blog","type":"Blog/News"},{"url":"researchdata@hjelp.uit.no","name":"Support","type":"Support email"},{"url":"https://site.uit.no/trolling/getting-started/how-to-archive/","name":"How to archive your data in TROLLing","type":"Help documentation"},{"url":"https://site.uit.no/dataverseno/deposit/prepare/","name":"How to prepare your data for archiving in TROLLing","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011623","name":"re3data:r3d100011623","portal":"re3data"}],"data_access_condition":{"url":"https://site.uit.no/dataverseno/about/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://site.uit.no/dataverseno/about/policy-framework/preservation-policy/","name":"Preservation Policy"},"data_deposition_condition":{"url":"https://site.uit.no/dataverseno/deposit/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001432","bsg-d001432"],"name":"FAIRsharing record for: The Tromsø Repository of Language and Linguistics","abbreviation":"TROLLing","url":"https://fairsharing.org/10.25504/FAIRsharing.JGEjCW","doi":"10.25504/FAIRsharing.JGEjCW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Tromsø Repository of Language and Linguistics (TROLLing) is a repository of data, code, and other related materials used in linguistic research. The repository is open access, which means that all information is available to everyone. All postings are accompanied by searchable metadata that identify the researchers, the languages and linguistic phenomena involved, the statistical methods applied, and scholarly publications based on the data (where relevant). DataverseNO is aligned with the FAIR Guiding Principles for scientific data management and stewardship. Being part of DataverseNO, TROLLing is CoreTrustSeal certified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Classical Philology","Applied Linguistics","Linguistics","Historical Linguistics"],"domains":["Language disorder","Natural language processing","Curated information","Digital curation","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Language","Open Science","Researcher data"],"countries":["Norway"],"publications":[{"id":2918,"pubmed_id":null,"title":"Disciplinary Case Study: The Tromsø Repository of Language and Linguistics (TROLLing)","year":2019,"url":"https://doi.org/10.5281/zenodo.2668775","authors":"Philipp Conzett","journal":"Association of European Research Libraries","doi":null,"created_at":"2021-09-30T08:27:59.340Z","updated_at":"2021-09-30T08:27:59.340Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":762,"relation":"undefined"},{"licence_name":"DataverseNO Access and Use Policy","licence_id":227,"licence_url":"https://site.uit.no/dataverseno/about/policy-framework/access-and-use-policy/","link_id":3002,"relation":"applies_to_content"}],"grants":[{"id":3768,"fairsharing_record_id":2929,"organisation_id":2891,"relation":"funds","created_at":"2021-09-30T09:26:25.968Z","updated_at":"2021-09-30T09:26:25.968Z","grant_id":null,"is_lead":false,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3766,"fairsharing_record_id":2929,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:26:25.920Z","updated_at":"2021-09-30T09:29:01.525Z","grant_id":60,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"295700","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3767,"fairsharing_record_id":2929,"organisation_id":2891,"relation":"maintains","created_at":"2021-09-30T09:26:25.944Z","updated_at":"2021-09-30T09:26:25.944Z","grant_id":null,"is_lead":true,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3769,"fairsharing_record_id":2929,"organisation_id":566,"relation":"undefined","created_at":"2021-09-30T09:26:25.994Z","updated_at":"2021-09-30T09:26:25.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure (CLARIN) European Research Infrastructure Consortium (ERIC), Utrecht University, The Netherlands","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaDhDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4e36e9d8bd4216fda7838d453c4879c4c5a9a971/ny_trolling_banner_DvNO-format.png?disposition=inline","exhaustive_licences":false}},{"id":"2931","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T14:28:24.000Z","updated_at":"2023-06-23T11:28:38.898Z","metadata":{"doi":"10.25504/FAIRsharing.802961","name":"UMIN Clinical Trials Registry","status":"ready","homepage":"https://www.umin.ac.jp/ctr/index.htm","identifier":2931,"description":"UMIN-CTR is a Clinical Trials Registry hosted by the japanese University Hospital Medical Information Network (UMIN). UMIN-CTR has been recognized by the ICMJE as an \"acceptable registry\". At a minimum, a paper should be received for consideration by an ICMJE-affiliated journal, if the corresponding trial is registered by the appropriate deadline with UMIN-CTR. The WHO is developing the International Clinical Trials Registry Platform (ICTRP) project in order to collect various clinical trial registry systems throughout the world under fixed standards as \"member registries\" and \"associate registries. \"","abbreviation":"UMIN-CTR","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.umin.ac.jp/ctr/UMIN-CTR_e_FAQ.htm","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.umin.ac.jp/ctr/UMIN-CTR_ManagementEng.htm","name":"Registry Management","type":"Help documentation"}],"year_creation":1989,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012003","name":"re3data:r3d100012003","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.umin.ac.jp/ctr/manual/ctr_manual_EVer.html","type":"controlled","notes":"A UMIN ID and password are required to register clinical trials. Only medical professionals and students whose country does NOT belong to the European Union are allowed to apply for UMIN."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001434","bsg-d001434"],"name":"FAIRsharing record for: UMIN Clinical Trials Registry","abbreviation":"UMIN-CTR","url":"https://fairsharing.org/10.25504/FAIRsharing.802961","doi":"10.25504/FAIRsharing.802961","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UMIN-CTR is a Clinical Trials Registry hosted by the japanese University Hospital Medical Information Network (UMIN). UMIN-CTR has been recognized by the ICMJE as an \"acceptable registry\". At a minimum, a paper should be received for consideration by an ICMJE-affiliated journal, if the corresponding trial is registered by the appropriate deadline with UMIN-CTR. The WHO is developing the International Clinical Trials Registry Platform (ICTRP) project in order to collect various clinical trial registry systems throughout the world under fixed standards as \"member registries\" and \"associate registries. \"","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12347},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12894}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Epidemiology","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[{"id":3774,"fairsharing_record_id":2931,"organisation_id":3002,"relation":"maintains","created_at":"2021-09-30T09:26:26.129Z","updated_at":"2021-09-30T09:26:26.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":3002,"name":"University Hospital Medical Information Network","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3772,"fairsharing_record_id":2931,"organisation_id":3252,"relation":"undefined","created_at":"2021-09-30T09:26:26.077Z","updated_at":"2021-09-30T09:26:26.077Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":3773,"fairsharing_record_id":2931,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:26:26.103Z","updated_at":"2021-09-30T09:26:26.103Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2932","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T14:51:44.000Z","updated_at":"2023-11-29T11:32:04.888Z","metadata":{"doi":"10.25504/FAIRsharing.17b1e4","name":"Dutch Trial Register","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ltr@ccmo.nl","contact_orcid":null}],"homepage":"https://onderzoekmetmensen.nl/","citations":[],"identifier":2932,"description":"The Dutch Trial Register (LTR) is a register in which a part of the clinical studies in The Netherlands are registered. This currently includes all data from the former National Trial Register (NTR). Former NTR data have been added unaltered. Data owners may update their data via this site. In addition to studies from the former NTR, the Dutch Trial Register will eventually replace ToetsingOnline, when studies from CTIS and Eudamed will be added to the register. In the long run it will also be possible to register new studies in the Dutch Trial Register, however at the moment new studies should be registered in any WHO-approved registry such as ClinicalTrials.gov. This will include both WMO as well as non-WMO studies.","abbreviation":"LTR","data_curation":{"type":"not found"},"support_links":[],"year_creation":2022,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013311","name":"re3data:r3d100013311","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010234","name":"SciCrunch:RRID:SCR_010234","portal":"SciCrunch"}],"data_access_condition":{"type":"open","notes":"Note that as a registry of clinical trials, the metadata about those trials is openly available, however this does not necessarily cover the study data itself."},"resource_sustainability":{"name":"No sustainability information found."},"data_contact_information":"yes","data_preservation_policy":{"name":"No data preservation policy found."},"data_deposition_condition":{"url":"https://onderzoekmetmensen.nl/en/professionals","type":"controlled","notes":"For the registration of new studies you may choose one of the WHO-approved registries, for example ClinicalTrials.gov. In the long run it will also be possible to register new studies in the Dutch Trial Register, but this is not currently possible.. "},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001435","bsg-d001435"],"name":"FAIRsharing record for: Dutch Trial Register","abbreviation":"LTR","url":"https://fairsharing.org/10.25504/FAIRsharing.17b1e4","doi":"10.25504/FAIRsharing.17b1e4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dutch Trial Register (LTR) is a register in which a part of the clinical studies in The Netherlands are registered. This currently includes all data from the former National Trial Register (NTR). Former NTR data have been added unaltered. Data owners may update their data via this site. In addition to studies from the former NTR, the Dutch Trial Register will eventually replace ToetsingOnline, when studies from CTIS and Eudamed will be added to the register. In the long run it will also be possible to register new studies in the Dutch Trial Register, however at the moment new studies should be registered in any WHO-approved registry such as ClinicalTrials.gov. This will include both WMO as well as non-WMO studies.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12348},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12895}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Epidemiology","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3416,"relation":"applies_to_content"}],"grants":[{"id":11112,"fairsharing_record_id":2932,"organisation_id":4178,"relation":"maintains","created_at":"2023-11-28T13:01:32.700Z","updated_at":"2023-11-28T13:01:32.700Z","grant_id":null,"is_lead":true,"saved_state":{"id":4178,"name":" Central Committee on Research Involving Human Subjects (CCMO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"2924","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T08:01:27.000Z","updated_at":"2024-05-02T14:10:07.627Z","metadata":{"doi":"10.25504/FAIRsharing.a01ca1","name":"LitCovid","status":"ready","contacts":[{"contact_name":"Zhiyong Lu","contact_email":"Zhiyong.Lu@nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/research/coronavirus/","citations":[{"doi":"10.1093/nar/gkaa952","pubmed_id":33166392,"publication_id":4241}],"identifier":2924,"description":"LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 5645 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access.","abbreviation":"LitCovid","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/research/coronavirus/faq","type":"manual/automated","notes":"Advanced machine-learning methods (LitSuggest) have been developed to assist human curation and is assisted by MeSH ontology curation."},"year_creation":2020,"data_versioning":"not found","data_access_condition":{"type":"open","notes":"https://www.ncbi.nlm.nih.gov/research/coronavirus/#data-download"},"resource_sustainability":{"name":"not found"},"data_contact_information":"no","data_preservation_policy":{"name":"not found"},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/research/coronavirus/faq","type":"not applicable","notes":"Publications specific to COVID-19 and does NOT include pre-prints. LitCovid only includes relevant articles from PubMed."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001427","bsg-d001427"],"name":"FAIRsharing record for: LitCovid","abbreviation":"LitCovid","url":"https://fairsharing.org/10.25504/FAIRsharing.a01ca1","doi":"10.25504/FAIRsharing.a01ca1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 5645 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12341},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12888}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Life Science","Biomedical Science","Epidemiology"],"domains":["Text mining","Journal article","Curated information","Literature curation","Biocuration"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":958,"pubmed_id":32157233,"title":"Keep up with the latest coronavirus research.","year":2020,"url":"http://doi.org/10.1038/d41586-020-00694-1","authors":"Chen Q,Allot A,Lu Z","journal":"Nature","doi":"10.1038/d41586-020-00694-1","created_at":"2021-09-30T08:24:06.026Z","updated_at":"2021-09-30T08:24:06.026Z"},{"id":4241,"pubmed_id":33166392,"title":"LitCovid: an open database of COVID-19 literature","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa952","authors":"Chen, Qingyu; Allot, Alexis; Lu, Zhiyong; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa952","created_at":"2024-04-07T18:54:00.001Z","updated_at":"2024-04-07T18:54:00.001Z"},{"id":4242,"pubmed_id":36350613,"title":"LitCovid in 2022: an information resource for the COVID-19 literature","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1005","authors":"Chen, Qingyu; Allot, Alexis; Leaman, Robert; Wei, Chih-Hsuan; Aghaarabi, Elaheh; Guerrerio, John J; Xu, Lilly; Lu, Zhiyong; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1005","created_at":"2024-04-07T18:58:50.286Z","updated_at":"2024-04-07T18:58:50.286Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":645,"relation":"undefined"}],"grants":[{"id":3747,"fairsharing_record_id":2924,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:26:25.402Z","updated_at":"2021-09-30T09:26:25.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3746,"fairsharing_record_id":2924,"organisation_id":2105,"relation":"maintains","created_at":"2021-09-30T09:26:25.378Z","updated_at":"2021-09-30T09:26:25.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":2105,"name":"NCBI Computational Biology Branch, Bethesda, MD, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3748,"fairsharing_record_id":2924,"organisation_id":3160,"relation":"funds","created_at":"2021-09-30T09:26:25.428Z","updated_at":"2021-09-30T09:26:25.428Z","grant_id":null,"is_lead":false,"saved_state":{"id":3160,"name":"USA.gov","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3749,"fairsharing_record_id":2924,"organisation_id":2171,"relation":"maintains","created_at":"2021-09-30T09:26:25.452Z","updated_at":"2021-09-30T09:26:25.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":2171,"name":"NLM/NCBI BioNLP Research Group, Bethesda, MD, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2925","type":"fairsharing_records","attributes":{"created_at":"2020-03-30T21:47:38.000Z","updated_at":"2023-12-15T10:29:13.087Z","metadata":{"doi":"10.25504/FAIRsharing.2f7f9f","name":"Global Initiative on Sharing Avian Influenza Data","status":"ready","contacts":[],"homepage":"https://www.gisaid.org/","citations":[],"identifier":2925,"description":"The GISAID Initiative promotes the international sharing of all influenza virus sequences, related clinical and epidemiological data associated with human viruses, and geographical as well as species-specific data associated with avian and other animal viruses, to help researchers understand how the viruses evolve, spread and potentially become pandemics.","abbreviation":"GISAID","data_curation":{"url":"https://gisaid.org/resources/statements-clarifications/routine-updates-and-quality-control-of-gisaid-data/","type":"manual/automated"},"support_links":[{"url":"https://www.gisaid.org/help/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://www.gisaid.org/help/faq/","name":"FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2008,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010126","name":"re3data:r3d100010126","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018279","name":"SciCrunch:RRID:SCR_018279","portal":"SciCrunch"}],"data_access_condition":{"url":"https://gisaid.org/terms-of-use/","type":"partially open"},"resource_sustainability":{"url":"https://gisaid.org/about-us/public-private-partnerships/","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gisaid.org/resources/statements-clarifications/routine-updates-and-quality-control-of-gisaid-data/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001428","bsg-d001428"],"name":"FAIRsharing record for: Global Initiative on Sharing Avian Influenza Data","abbreviation":"GISAID","url":"https://fairsharing.org/10.25504/FAIRsharing.2f7f9f","doi":"10.25504/FAIRsharing.2f7f9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GISAID Initiative promotes the international sharing of all influenza virus sequences, related clinical and epidemiological data associated with human viruses, and geographical as well as species-specific data associated with avian and other animal viruses, to help researchers understand how the viruses evolve, spread and potentially become pandemics.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12342},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12889}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Epidemiology"],"domains":["DNA sequence data","Protein sequence identification","Patient care","Sequence"],"taxonomies":["Influenza virus","Viruses"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2615,"pubmed_id":null,"title":"Competition in biology: It's a scoop!","year":2003,"url":"https://doi.org/10.1038/news031124-9","authors":"Pearson H.","journal":"Nature","doi":null,"created_at":"2021-09-30T08:27:21.030Z","updated_at":"2021-09-30T08:27:21.030Z"}],"licence_links":[{"licence_name":"GISAID Terms of Use","licence_id":346,"licence_url":"https://www.gisaid.org/registration/terms-of-use/","link_id":1862,"relation":"undefined"}],"grants":[{"id":3750,"fairsharing_record_id":2925,"organisation_id":124,"relation":"funds","created_at":"2021-09-30T09:26:25.478Z","updated_at":"2021-09-30T09:26:25.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":124,"name":"Association of Public Health Laboratories (APHL)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3752,"fairsharing_record_id":2925,"organisation_id":2353,"relation":"funds","created_at":"2021-09-30T09:26:25.528Z","updated_at":"2021-09-30T09:30:22.681Z","grant_id":683,"is_lead":false,"saved_state":{"id":2353,"name":"PREDEMICS (European Commission 2014-2017)","grant":"278433","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3751,"fairsharing_record_id":2925,"organisation_id":2944,"relation":"funds","created_at":"2021-09-30T09:26:25.502Z","updated_at":"2021-09-30T09:26:25.502Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3753,"fairsharing_record_id":2925,"organisation_id":1780,"relation":"funds","created_at":"2021-09-30T09:26:25.552Z","updated_at":"2021-09-30T09:30:58.066Z","grant_id":957,"is_lead":false,"saved_state":{"id":1780,"name":"Max-Planck-Gesellschaft (MPG), Germany","grant":"8286670","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9420,"fairsharing_record_id":2925,"organisation_id":2635,"relation":"funds","created_at":"2022-04-11T12:07:37.099Z","updated_at":"2022-04-11T12:07:37.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation SERI","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2926","type":"fairsharing_records","attributes":{"created_at":"2020-04-22T13:15:56.000Z","updated_at":"2023-01-17T08:42:53.035Z","metadata":{"name":"COVID-19 Research Collaborations","status":"deprecated","contacts":[],"homepage":"https://covid19.elsevierpure.com/","citations":[],"identifier":2926,"description":"The COVID-19 Research Collaborations database stores information on researchers and institutions for the purposes of identifying potential research experts or collaborators in areas related to the coronavirus epidemic across basic science, translational research, or clinical practice.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.elsevier.com/__data/assets/pdf_file/0013/998869/COVID-ElsevierPure.pdf","name":"About (PDF)","type":"Help documentation"}],"year_creation":2020,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013300","name":"re3data:r3d100013300","portal":"re3data"}],"deprecation_date":"2023-01-16","deprecation_reason":"The website is no longer available","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001429","bsg-d001429"],"name":"FAIRsharing record for: COVID-19 Research Collaborations","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/2926","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COVID-19 Research Collaborations database stores information on researchers and institutions for the purposes of identifying potential research experts or collaborators in areas related to the coronavirus epidemic across basic science, translational research, or clinical practice.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12343},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12890}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Biomedical Science","Translational Medicine","Epidemiology"],"domains":["Text mining","Natural language processing","Journal article"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":3755,"fairsharing_record_id":2926,"organisation_id":850,"relation":"maintains","created_at":"2021-09-30T09:26:25.625Z","updated_at":"2021-09-30T09:26:25.625Z","grant_id":null,"is_lead":true,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2927","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T14:34:24.000Z","updated_at":"2023-12-15T10:31:30.966Z","metadata":{"doi":"10.25504/FAIRsharing.7f07dd","name":"Australian New Zealand Clinical Trials Registry","status":"ready","contacts":[],"homepage":"http://www.anzctr.org.au/","citations":[],"identifier":2927,"description":"The Australian New Zealand Clinical Trials Registry (ANZCTR) is an online register of clinical trials being undertaken in Australia, New Zealand and elsewhere. The ANZCTR includes trials from the full spectrum of therapeutic areas of pharmaceuticals, surgical procedures, preventive measures, lifestyle, devices, treatment and rehabilitation strategies and complementary therapies. The ANZCTR mandatory data items comply with the minimum dataset requirements of the International Committee of Medical Journal Editors (ICMJE) and the World Health Organization (WHO).","abbreviation":"ANZCTR","data_curation":{"url":"https://www.anzctr.org.au/support/HowToAdd.aspx","type":"manual","notes":"User submission will be checked by ANZCTR staff."},"support_links":[{"url":"http://www.anzctr.org.au/Faq.aspx","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.anzctr.org.au/HowToSearch.aspx","name":"How to search","type":"Help documentation"},{"url":"https://www.anzctr.org.au/News.aspx","type":"Blog/News"},{"url":"info@anzctr.org.au","name":"General contact","type":"Support email"},{"url":"https://www.anzctr.org.au/ContactUs.aspx","name":"Technical support","type":"Contact form"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011164","name":"re3data:r3d100011164","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.anzctr.org.au/support/HowToAdd.aspx","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001430","bsg-d001430"],"name":"FAIRsharing record for: Australian New Zealand Clinical Trials Registry","abbreviation":"ANZCTR","url":"https://fairsharing.org/10.25504/FAIRsharing.7f07dd","doi":"10.25504/FAIRsharing.7f07dd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Australian New Zealand Clinical Trials Registry (ANZCTR) is an online register of clinical trials being undertaken in Australia, New Zealand and elsewhere. The ANZCTR includes trials from the full spectrum of therapeutic areas of pharmaceuticals, surgical procedures, preventive measures, lifestyle, devices, treatment and rehabilitation strategies and complementary therapies. The ANZCTR mandatory data items comply with the minimum dataset requirements of the International Committee of Medical Journal Editors (ICMJE) and the World Health Organization (WHO).","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12344},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12891}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Public Health","Health Science","Virology","Biomedical Science","Epidemiology","Preclinical Studies","Medical Informatics"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","New Zealand"],"publications":[],"licence_links":[{"licence_name":"ANZCTR Terms and Conditions","licence_id":34,"licence_url":"http://www.anzctr.org.au/Support/Terms.aspx","link_id":1153,"relation":"undefined"}],"grants":[{"id":3758,"fairsharing_record_id":2927,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:26:25.719Z","updated_at":"2021-09-30T09:26:25.719Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3756,"fairsharing_record_id":2927,"organisation_id":140,"relation":"funds","created_at":"2021-09-30T09:26:25.664Z","updated_at":"2021-09-30T09:26:25.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":140,"name":"Australian Government - department of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3759,"fairsharing_record_id":2927,"organisation_id":1224,"relation":"funds","created_at":"2021-09-30T09:26:25.744Z","updated_at":"2021-09-30T09:26:25.744Z","grant_id":null,"is_lead":false,"saved_state":{"id":1224,"name":"Health Research Council of New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11058,"fairsharing_record_id":2927,"organisation_id":4164,"relation":"maintains","created_at":"2023-10-27T11:02:05.951Z","updated_at":"2023-10-27T11:02:05.951Z","grant_id":null,"is_lead":true,"saved_state":{"id":4164,"name":"NHMRC Clinical Trials Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3757,"fairsharing_record_id":2927,"organisation_id":2821,"relation":"funds","created_at":"2021-09-30T09:26:25.695Z","updated_at":"2021-09-30T09:26:25.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":2821,"name":"Therapeutic innovation Australia","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2928","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T15:31:55.000Z","updated_at":"2023-12-15T10:28:35.961Z","metadata":{"doi":"10.25504/FAIRsharing.01d14a","name":"International Traditional Medicine Clinical Trial Registry","status":"ready","contacts":[],"homepage":"http://www.isrctn.com/","citations":[],"identifier":2928,"description":"The ISRCTN registry is a primary clinical trial registry recognised by WHO and ICMJE that accepts all clinical research studies (whether proposed, ongoing or completed), providing content validation and curation and the unique identification number necessary for publication. All study records in the database are freely accessible and searchable.","abbreviation":"ISRCTN Registry","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.isrctn.com/page/faqs","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.isrctn.com/page/search-tips","name":"Search tips","type":"Help documentation"},{"url":"http://www.isrctn.com/page/about","name":"About page","type":"Help documentation"},{"url":"https://twitter.com/ISRCTN","name":"@ISRCTN","type":"Twitter"}],"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013307","name":"re3data:r3d100013307","portal":"re3data"}],"data_access_condition":{"url":"https://www.isrctn.com/page/faqs","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.isrctn.com/page/faqs","type":"controlled","notes":"fee to submit data"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001431","bsg-d001431"],"name":"FAIRsharing record for: International Traditional Medicine Clinical Trial Registry","abbreviation":"ISRCTN Registry","url":"https://fairsharing.org/10.25504/FAIRsharing.01d14a","doi":"10.25504/FAIRsharing.01d14a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ISRCTN registry is a primary clinical trial registry recognised by WHO and ICMJE that accepts all clinical research studies (whether proposed, ongoing or completed), providing content validation and curation and the unique identification number necessary for publication. All study records in the database are freely accessible and searchable.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17397},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12345},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12892}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Biomedical Science","Epidemiology","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":3761,"fairsharing_record_id":2928,"organisation_id":1562,"relation":"maintains","created_at":"2021-09-30T09:26:25.794Z","updated_at":"2022-07-19T20:05:37.792Z","grant_id":null,"is_lead":true,"saved_state":{"id":1562,"name":"ISRCTN","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3764,"fairsharing_record_id":2928,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:26:25.870Z","updated_at":"2021-09-30T09:26:25.870Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3765,"fairsharing_record_id":2928,"organisation_id":717,"relation":"funds","created_at":"2021-09-30T09:26:25.894Z","updated_at":"2021-09-30T09:26:25.894Z","grant_id":null,"is_lead":false,"saved_state":{"id":717,"name":"Department of Health, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3763,"fairsharing_record_id":2928,"organisation_id":2616,"relation":"maintains","created_at":"2021-09-30T09:26:25.844Z","updated_at":"2021-09-30T09:26:25.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2616,"name":"Springer Nature","types":["Publisher"],"is_lead":false,"relation":"maintains"}},{"id":3760,"fairsharing_record_id":2928,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:26:25.770Z","updated_at":"2021-09-30T09:26:25.770Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3762,"fairsharing_record_id":2928,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:25.820Z","updated_at":"2021-09-30T09:26:25.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa3dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--2170c0e351110bd0ccb08940d3392d61e7a11c8c/reg.png?disposition=inline","exhaustive_licences":false}},{"id":"2933","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T15:14:50.000Z","updated_at":"2023-12-15T10:32:35.042Z","metadata":{"doi":"10.25504/FAIRsharing.329809","name":"Database of publications on coronavirus disease (COVID-19)","status":"ready","contacts":[],"homepage":"https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov","citations":[],"identifier":2933,"description":"The WHO is gathering the latest scientific findings and knowledge on coronavirus disease (COVID-19) and compiling it in a database. The database is updated daily from searches of bibliographic databases, manual searches of the table of contents of relevant journals, and the addition of other relevant scientific articles that come to our attention. Note - the entries in the database may not be exhaustive and new research will be added regularly.","abbreviation":null,"data_curation":{"url":"https://www.who.int/publications/m/item/quick-search-guide-who-covid-19-database","type":"manual"},"support_links":[{"url":"https://www.who.int/publications/m/item/quick-search-guide-who-covid-19-database","name":"Quick Search Guide for WHO COVID-19 Database","type":"Help documentation"}],"year_creation":2020,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001436","bsg-d001436"],"name":"FAIRsharing record for: Database of publications on coronavirus disease (COVID-19)","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.329809","doi":"10.25504/FAIRsharing.329809","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WHO is gathering the latest scientific findings and knowledge on coronavirus disease (COVID-19) and compiling it in a database. The database is updated daily from searches of bibliographic databases, manual searches of the table of contents of relevant journals, and the addition of other relevant scientific articles that come to our attention. Note - the entries in the database may not be exhaustive and new research will be added regularly.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12349},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12896}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Life Science","Biomedical Science","Epidemiology"],"domains":["Literature curation"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"WHO Privacy Legal Notice","licence_id":909,"licence_url":"https://www.who.int/about/policies/privacy","link_id":2585,"relation":"applies_to_content"}],"grants":[{"id":3776,"fairsharing_record_id":2933,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:26:26.187Z","updated_at":"2021-09-30T09:26:26.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2969","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T07:39:40.000Z","updated_at":"2023-12-15T10:31:51.034Z","metadata":{"doi":"10.25504/FAIRsharing.Z8OKi5","name":"ABCD database","status":"ready","contacts":[{"contact_name":"Wanessa du Fresne von Hohenesche","contact_email":"antibodies-order@unige.ch"}],"homepage":"https://web.expasy.org/abcd/","citations":[{"doi":"10.1093/nar/gkz714","pubmed_id":31410491,"publication_id":2923}],"identifier":2969,"description":"The ABCD (AntiBodies Chemically Defined) database is a manually curated depository of sequenced antibodies.","abbreviation":"ABCD","data_curation":{"type":"manual"},"year_creation":2018,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://web.expasy.org/abcd/submit.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001475","bsg-d001475"],"name":"FAIRsharing record for: ABCD database","abbreviation":"ABCD","url":"https://fairsharing.org/10.25504/FAIRsharing.Z8OKi5","doi":"10.25504/FAIRsharing.Z8OKi5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ABCD (AntiBodies Chemically Defined) database is a manually curated depository of sequenced antibodies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Molecular biology","Immunology"],"domains":["Antibody","Recombinant DNA","Amino acid sequence"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2923,"pubmed_id":31410491,"title":"The ABCD database: a repository for chemically defined antibodies.","year":2019,"url":"http://doi.org/10.1093/nar/gkz714","authors":"Lima WC,Gasteiger E,Marcatili P,Duek P,Bairoch A,Cosson P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz714","created_at":"2021-09-30T08:27:59.946Z","updated_at":"2021-09-30T11:29:48.962Z"}],"licence_links":[],"grants":[{"id":3898,"fairsharing_record_id":2969,"organisation_id":2984,"relation":"maintains","created_at":"2021-09-30T09:26:29.874Z","updated_at":"2021-09-30T09:26:29.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":2984,"name":"Universite de Geneve, Geneva, Switzerland","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2970","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T08:39:22.000Z","updated_at":"2023-12-15T10:32:29.907Z","metadata":{"doi":"10.25504/FAIRsharing.f14e0b","name":"National Pollutant Release Inventory","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"ec.inrp-npri.ec@canada.ca"}],"homepage":"https://www.canada.ca/en/services/environment/pollution-waste-management/national-pollutant-release-inventory.html","identifier":2970,"description":"The National Pollutant Release Inventory (NPRI) is Canada’s public inventory of releases, disposals and transfers. It tracks over 320 pollutants from over 7,000 facilities across Canada. Reporting facilities include factories that manufacture a variety of goods, mines, oil and gas operations, power plants and sewage treatment plants. The information that facility owners and operators must report to the inventory: helps Canadians understand pollutants releases in their communities, encourages actions to reduce pollution, helps track progress.","abbreviation":"NPRI","data_curation":{"url":"https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/data-quality.html","type":"manual"},"support_links":[{"url":"https://tinyurl.com/ybcpg68z","name":"Instructional videos: National Pollutant Release Inventory","type":"Help documentation"},{"url":"https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/using-interpreting-data.html","name":"Using and interpreting data from the National Pollutant Release Inventory","type":"Help documentation"}],"year_creation":1992,"data_versioning":"not found","associated_tools":[{"url":"https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/report/sector-specific-tools-calculate-emissions.html","name":"Tools to calculate emissions"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010623","name":"re3data:r3d100010623","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001476","bsg-d001476"],"name":"FAIRsharing record for: National Pollutant Release Inventory","abbreviation":"NPRI","url":"https://fairsharing.org/10.25504/FAIRsharing.f14e0b","doi":"10.25504/FAIRsharing.f14e0b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Pollutant Release Inventory (NPRI) is Canada’s public inventory of releases, disposals and transfers. It tracks over 320 pollutants from over 7,000 facilities across Canada. Reporting facilities include factories that manufacture a variety of goods, mines, oil and gas operations, power plants and sewage treatment plants. The information that facility owners and operators must report to the inventory: helps Canadians understand pollutants releases in their communities, encourages actions to reduce pollution, helps track progress.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Atmospheric Science","Water Research"],"domains":["Environmental contaminant","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Climate change","Pollution","Recycling"],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Government of Canada Terms and conditions","licence_id":361,"licence_url":"https://www.canada.ca/en/transparency/terms.html","link_id":1352,"relation":"undefined"}],"grants":[{"id":3899,"fairsharing_record_id":2970,"organisation_id":868,"relation":"maintains","created_at":"2021-09-30T09:26:29.897Z","updated_at":"2021-09-30T09:26:29.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":868,"name":"Environment and Climate Change Canada, Gatineau, QC, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2971","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T09:35:28.000Z","updated_at":"2023-06-23T14:57:23.241Z","metadata":{"doi":"10.25504/FAIRsharing.cc3QN9","name":"World Data Centre for Space Weather","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"SWS_WDC@bom.gov.au"}],"homepage":"http://www.sws.bom.gov.au/World_Data_Centre","identifier":2971,"description":"The World Data Centre section provides software and data catalogue information and data produced by the Bureau of Meteorology - Space Weather Services (SWS) over the past decades. Thousands of gigabytes of Ionospheric, Magnetometer, Spectrograph, Cosmic Ray data and Solar images are available for download. These areas are continually growing, with the addition of new data types, downloadable tools and data from new locations.","abbreviation":"SWS - WDC","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.sws.bom.gov.au/World_Data_Centre/5/1","name":"Latest News","type":"Blog/News"},{"url":"http://www.sws.bom.gov.au/World_Data_Centre/5/2","type":"Help documentation"},{"url":"http://www.sws.bom.gov.au/World_Data_Centre/1/1/1","name":"SWS Data Policy","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010635","name":"re3data:r3d100010635","portal":"re3data"}],"data_access_condition":{"type":"open","notes":"Some special data requests must be done using an online form."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001477","bsg-d001477"],"name":"FAIRsharing record for: World Data Centre for Space Weather","abbreviation":"SWS - WDC","url":"https://fairsharing.org/10.25504/FAIRsharing.cc3QN9","doi":"10.25504/FAIRsharing.cc3QN9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Data Centre section provides software and data catalogue information and data produced by the Bureau of Meteorology - Space Weather Services (SWS) over the past decades. Thousands of gigabytes of Ionospheric, Magnetometer, Spectrograph, Cosmic Ray data and Solar images are available for download. These areas are continually growing, with the addition of new data types, downloadable tools and data from new locations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Electromagnetism","Meteorology","Cosmology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Cosmology","Electromagnetism","ionosphere","Magnetometer","Optical spectrometer","Riometer","Solar activity"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"WDS Conditions for Use of Data","licence_id":854,"licence_url":"http://www.sws.bom.gov.au/World_Data_Centre","link_id":2268,"relation":"undefined"}],"grants":[{"id":3900,"fairsharing_record_id":2971,"organisation_id":2607,"relation":"maintains","created_at":"2021-09-30T09:26:29.928Z","updated_at":"2021-09-30T09:26:29.928Z","grant_id":null,"is_lead":false,"saved_state":{"id":2607,"name":"Space Weather Services, Haymarket, NSW, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2972","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T12:55:59.000Z","updated_at":"2023-12-15T10:32:27.141Z","metadata":{"doi":"10.25504/FAIRsharing.096d5e","name":"Global Atmosphere Watch Station Information System","status":"ready","homepage":"https://gawsis.meteoswiss.ch/GAWSIS/index.html#/","identifier":2972,"description":"The Global Atmosphere Watch (GAW) is a worldwide system established by the World Meteorological Organization, a United Nations agency, to monitor trends in the Earth's atmosphere. GAWSIS is the official catalogue of GAW stations and Contributing networks. It provides the GAW community and other interested people with an up-to-date, searchable data base of : station characteristics, measurements programs and data available, instrument, contact people, bibliographic references. GAWSIS also serves as a repository for supporting documents.","abbreviation":"GAWSIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://tinyurl.com/yaaarb9j","name":"News","type":"Blog/News"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS/#/support","name":"Support","type":"Contact form"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS//index.html#/feedback","name":"Feedback","type":"Contact form"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS/#/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS//index.html#/glossary/","name":"Glossary","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010141","name":"re3data:r3d100010141","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001478","bsg-d001478"],"name":"FAIRsharing record for: Global Atmosphere Watch Station Information System","abbreviation":"GAWSIS","url":"https://fairsharing.org/10.25504/FAIRsharing.096d5e","doi":"10.25504/FAIRsharing.096d5e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Global Atmosphere Watch (GAW) is a worldwide system established by the World Meteorological Organization, a United Nations agency, to monitor trends in the Earth's atmosphere. GAWSIS is the official catalogue of GAW stations and Contributing networks. It provides the GAW community and other interested people with an up-to-date, searchable data base of : station characteristics, measurements programs and data available, instrument, contact people, bibliographic references. GAWSIS also serves as a repository for supporting documents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Meteorology","Earth Science","Atmospheric Science"],"domains":["Radiation"],"taxonomies":["Not applicable"],"user_defined_tags":["Aerosol","Greenhouse gases","Ozone","Ultraviolet Rays"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":3901,"fairsharing_record_id":2972,"organisation_id":3254,"relation":"maintains","created_at":"2021-09-30T09:26:29.970Z","updated_at":"2021-09-30T09:26:29.970Z","grant_id":null,"is_lead":false,"saved_state":{"id":3254,"name":"World Meteorological Organization (WMO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3902,"fairsharing_record_id":2972,"organisation_id":1006,"relation":"maintains","created_at":"2021-09-30T09:26:30.008Z","updated_at":"2021-09-30T09:26:30.008Z","grant_id":null,"is_lead":false,"saved_state":{"id":1006,"name":"Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2973","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T14:14:35.000Z","updated_at":"2024-05-02T10:00:47.979Z","metadata":{"name":"Chromium Epigenomics Toxicology","status":"in_development","contacts":[{"contact_name":"Wen Niu","contact_email":"wen.niu@uc.edu","contact_orcid":"0000-0003-4927-5200"}],"homepage":"http://eh4.uc.edu/chromium/","citations":[{"doi":"10.1080/15592294.2018.1454243","pubmed_id":29561703,"publication_id":2919}],"identifier":2973,"description":"The Chromium Epigenomics Toxicology (EpiCrDB) database contains a variety of epigenomics experimental assays relating to research on how Cr(VI) perturbs chromatin organization and dynamics. This data is used in reseach into how its toxicity may be attributed to epigenetic carcinogenicity. Manually-annotated sample and experiment metadata is included to facilitate FAIR data access. Hexavalent chromium [Cr(VI)] compounds are well-established respiratory carcinogens utilized in industrial processes. While inhalation exposure constitutes an occupational risk affecting mostly chromium workers, environmental exposure from drinking water contamination is a widespread gastrointestinal carcinogen, affecting millions of people throughout the world. The mechanism of action of Cr(VI) at the molecular level is poorly understood.","abbreviation":"EpiCrDB","data_curation":{"type":"none"},"support_links":[],"year_creation":2020,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001479","bsg-d001479"],"name":"FAIRsharing record for: Chromium Epigenomics Toxicology","abbreviation":"EpiCrDB","url":"https://fairsharing.org/fairsharing_records/2973","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chromium Epigenomics Toxicology (EpiCrDB) database contains a variety of epigenomics experimental assays relating to research on how Cr(VI) perturbs chromatin organization and dynamics. This data is used in reseach into how its toxicity may be attributed to epigenetic carcinogenicity. Manually-annotated sample and experiment metadata is included to facilitate FAIR data access. Hexavalent chromium [Cr(VI)] compounds are well-established respiratory carcinogens utilized in industrial processes. While inhalation exposure constitutes an occupational risk affecting mostly chromium workers, environmental exposure from drinking water contamination is a widespread gastrointestinal carcinogen, affecting millions of people throughout the world. The mechanism of action of Cr(VI) at the molecular level is poorly understood.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16646}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenomics","Epigenetics","Toxicology","Life Science"],"domains":["Assay","Chromatin immunoprecipitation - DNA sequencing","Chromatin structure variation"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2919,"pubmed_id":29561703,"title":"Chromium disrupts chromatin organization and CTCF access to its cognate sites in promoters of differentially expressed genes.","year":2018,"url":"http://doi.org/10.1080/15592294.2018.1454243","authors":"VonHandorf A,Sanchez-Martin FJ,Biesiada J,Zhang H,Zhang X,Medvedovic M,Puga A","journal":"Epigenetics","doi":"10.1080/15592294.2018.1454243","created_at":"2021-09-30T08:27:59.509Z","updated_at":"2021-09-30T08:27:59.509Z"},{"id":2922,"pubmed_id":24837440,"title":"Formaldehyde-Assisted Isolation of Regulatory Elements (FAIRE) analysis uncovers broad changes in chromatin structure resulting from hexavalent chromium exposure.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0097849","authors":"Ovesen JL,Fan Y,Zhang X,Chen J,Medvedovic M,Xia Y,Puga A","journal":"PLoS One","doi":"10.1371/journal.pone.0097849","created_at":"2021-09-30T08:27:59.833Z","updated_at":"2021-09-30T08:27:59.833Z"},{"id":2928,"pubmed_id":30935235,"title":"Highlight Article: Chromium exposure disrupts chromatin architecture upsetting the mechanisms that regulate transcription.","year":2019,"url":"http://doi.org/10.1177/1535370219839953","authors":"Zablon HA,VonHandorf A,Puga A","journal":"Exp Biol Med (Maywood)","doi":"10.1177/1535370219839953","created_at":"2021-09-30T08:28:00.633Z","updated_at":"2021-09-30T08:28:00.633Z"}],"licence_links":[],"grants":[{"id":3903,"fairsharing_record_id":2973,"organisation_id":706,"relation":"maintains","created_at":"2021-09-30T09:26:30.045Z","updated_at":"2024-05-01T15:28:57.342Z","grant_id":null,"is_lead":true,"saved_state":{"id":706,"name":"Department of Environmental and Public Health Sciences, University of Cincinnati","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2974","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T14:28:11.000Z","updated_at":"2023-12-15T10:32:38.029Z","metadata":{"doi":"10.25504/FAIRsharing.eef384","name":"Alternative Fuels Data Center","status":"ready","contacts":[{"contact_name":"Technical Response Service","contact_email":"technicalresponse@icf.com"}],"homepage":"https://afdc.energy.gov/","citations":[],"identifier":2974,"description":"The Alternative Fuels Data Center (AFDC) provides a wealth of information and data on alternative and renewable fuels, advanced vehicles, fuel-saving strategies, and emerging transportation technologies. This site features interactive tools, calculators, and mapping applications to aid in the implementation of these fuels, vehicles, and strategies. The AFDC functions as a dynamic online hub, providing information, tools, and resources for transportation decision makers seeking domestic alternatives that diversify energy sources and help businesses make wise economic choices.","abbreviation":"AFDC","data_curation":{"type":"not found"},"support_links":[{"url":"https://afdc.energy.gov/website-contact.html","type":"Contact form"}],"year_creation":1991,"data_versioning":"yes","associated_tools":[{"url":"https://afdc.energy.gov/tools","name":"Alternative Fuels Data Center Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010226","name":"re3data:r3d100010226","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001480","bsg-d001480"],"name":"FAIRsharing record for: Alternative Fuels Data Center","abbreviation":"AFDC","url":"https://fairsharing.org/10.25504/FAIRsharing.eef384","doi":"10.25504/FAIRsharing.eef384","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Alternative Fuels Data Center (AFDC) provides a wealth of information and data on alternative and renewable fuels, advanced vehicles, fuel-saving strategies, and emerging transportation technologies. This site features interactive tools, calculators, and mapping applications to aid in the implementation of these fuels, vehicles, and strategies. The AFDC functions as a dynamic online hub, providing information, tools, and resources for transportation decision makers seeking domestic alternatives that diversify energy sources and help businesses make wise economic choices.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Energy Engineering","Ecology","Earth Science"],"domains":["Bioenergy","Sustainability"],"taxonomies":["Not applicable"],"user_defined_tags":["Fossil Fuel","Fuel Oil"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Department of Energy Web Policies","licence_id":233,"licence_url":"https://www.energy.gov/about-us/web-policies","link_id":1078,"relation":"undefined"}],"grants":[{"id":9408,"fairsharing_record_id":2974,"organisation_id":3167,"relation":"maintains","created_at":"2022-04-11T12:07:36.343Z","updated_at":"2022-04-11T12:07:36.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2976","type":"fairsharing_records","attributes":{"created_at":"2020-05-06T10:20:42.000Z","updated_at":"2023-12-15T10:31:33.033Z","metadata":{"doi":"10.25504/FAIRsharing.4e7190","name":"EUROLAS Data Center","status":"ready","contacts":[{"contact_name":"Christian Schwatke","contact_email":"christian.schwatke@tum.de","contact_orcid":"0000-0002-4741-3449"}],"homepage":"https://edc.dgfi.tum.de/en/","citations":[],"identifier":2976,"description":"The EUROLAS Data Center (EDC) is one of the two data centers of the International Laser Ranging Service (ILRS). It collects, archives and distributes tracking data, predictions and other tracking relevant information from the Consortium of European Satellite Laser Ranging (SLR) network. Additionally EDC holds a mirror of the official Web-Pages of the ILRS at Goddard Space Flight Center (GSFC).","abbreviation":"EDC","data_curation":{"type":"not found"},"support_links":[{"url":"carey.noll@nasa.gov","name":"Carey Noll","type":"Support email"},{"url":"https://edc.dgfi.tum.de/en/mailing_lists/","type":"Mailing list"}],"year_creation":1991,"data_versioning":"yes","associated_tools":[{"url":"https://edc.dgfi.tum.de/en/tools/crd_check/","name":"CRD-Check"},{"url":"https://edc.dgfi.tum.de/en/tools/cpf_check/","name":"CPF-Check"},{"url":"https://edc.dgfi.tum.de/en/tools/cpf_mailer/","name":"CPF-Mailer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010728","name":"re3data:r3d100010728","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001482","bsg-d001482"],"name":"FAIRsharing record for: EUROLAS Data Center","abbreviation":"EDC","url":"https://fairsharing.org/10.25504/FAIRsharing.4e7190","doi":"10.25504/FAIRsharing.4e7190","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EUROLAS Data Center (EDC) is one of the two data centers of the International Laser Ranging Service (ILRS). It collects, archives and distributes tracking data, predictions and other tracking relevant information from the Consortium of European Satellite Laser Ranging (SLR) network. Additionally EDC holds a mirror of the official Web-Pages of the ILRS at Goddard Space Flight Center (GSFC).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Astrophysics and Astronomy","Geodesy","Earth Science","Selenography"],"domains":["Observation design","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":["Satellite Laser Ranging","Selenography"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"EUROLAS Data Center (EDC) Privacy Policy","licence_id":299,"licence_url":"https://edc.dgfi.tum.de/en/privacy_policy/","link_id":1288,"relation":"undefined"}],"grants":[{"id":3907,"fairsharing_record_id":2976,"organisation_id":621,"relation":"undefined","created_at":"2021-09-30T09:26:30.181Z","updated_at":"2021-09-30T09:26:30.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":621,"name":"Crustal Dynamics Data Information System (CDDIS), USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":3906,"fairsharing_record_id":2976,"organisation_id":1137,"relation":"maintains","created_at":"2021-09-30T09:26:30.157Z","updated_at":"2021-09-30T09:26:30.157Z","grant_id":null,"is_lead":false,"saved_state":{"id":1137,"name":"German Geodetic Research Institute (DGFI-TUM), Munich, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2977","type":"fairsharing_records","attributes":{"created_at":"2020-05-28T14:51:48.000Z","updated_at":"2023-12-15T10:31:07.849Z","metadata":{"doi":"10.25504/FAIRsharing.LdoU1I","name":"International Mouse Phenotyping Consortium","status":"ready","contacts":[{"contact_name":"IMPC helpdesk","contact_email":"mouse-helpdesk@ebi.ac.uk"}],"homepage":"https://www.mousephenotype.org/","citations":[{"doi":"10.1038/nature19356","pubmed_id":27626380,"publication_id":2985}],"identifier":2977,"description":"The International Mouse Phenotyping Consortium (IMPC) produces a publicly-available repository that stores information on IMPC processes, data and annotations. The IMPC is an international effort by 19 research institutions to identify the function of every protein-coding gene in the mouse genome by switching off or ‘knocking out’ each of the roughly 20,000 genes that make up the mouse genome.","abbreviation":"IMPC","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.mousephenotype.org/news/","name":"News","type":"Blog/News"},{"url":"https://www.mousephenotype.org/blog/","name":"Blog","type":"Blog/News"},{"url":"https://www.mousephenotype.org/contact-us/","name":"Contact IMPC","type":"Contact form"},{"url":"https://www.mousephenotype.org/help/faqs/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.mousephenotype.org/help/","name":"General Help","type":"Help documentation"},{"url":"https://www.mousephenotype.org/understand/the-data/how-we-generate-the-data/","name":"How Data is Generated","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/impc-using-the-mouse-phenotyping-portal","name":"IMPC: Using the mouse phenotyping portal","type":"TeSS links to training materials"},{"url":"https://twitter.com/impc","name":"@impc","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.mousephenotype.org/data/parallel","name":"KO effect comparator"},{"url":"https://www.mousephenotype.org/phenodcc/","name":"PhenoDCC"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010636","name":"re3data:r3d100010636","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006158","name":"SciCrunch:RRID:SCR_006158","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.mousephenotype.org/help/faqs/is-impc-data-freely-available/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001483","bsg-d001483"],"name":"FAIRsharing record for: International Mouse Phenotyping Consortium","abbreviation":"IMPC","url":"https://fairsharing.org/10.25504/FAIRsharing.LdoU1I","doi":"10.25504/FAIRsharing.LdoU1I","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Mouse Phenotyping Consortium (IMPC) produces a publicly-available repository that stores information on IMPC processes, data and annotations. The IMPC is an international effort by 19 research institutions to identify the function of every protein-coding gene in the mouse genome by switching off or ‘knocking out’ each of the roughly 20,000 genes that make up the mouse genome.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20000}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Functional Genomics","Phenomics"],"domains":["Phenotype","Protein","Genome"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Australia","Canada","China","Czech Republic","France","Germany","India","Italy","Japan","South Africa","South Korea","Spain","Taiwan","United Kingdom","United States"],"publications":[{"id":2985,"pubmed_id":27626380,"title":"High-throughput Discovery of Novel Developmental Phenotypes","year":2016,"url":"http://doi.org/10.1038/nature19356","authors":"Dickinson ME, Flenniken AM, Ji X, et al.","journal":"Nature","doi":"10.1038/nature19356","created_at":"2021-09-30T08:28:07.791Z","updated_at":"2021-09-30T08:28:07.791Z"}],"licence_links":[{"licence_name":"IMPC Terms of Use","licence_id":433,"licence_url":"https://www.mousephenotype.org/about-impc/terms-of-use/","link_id":1684,"relation":"undefined"}],"grants":[{"id":3910,"fairsharing_record_id":2977,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:30.256Z","updated_at":"2021-09-30T09:26:30.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3908,"fairsharing_record_id":2977,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:30.206Z","updated_at":"2021-09-30T09:26:30.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3909,"fairsharing_record_id":2977,"organisation_id":1347,"relation":"maintains","created_at":"2021-09-30T09:26:30.231Z","updated_at":"2021-09-30T09:26:30.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":1347,"name":"Infrafrontier Research Infrastructure, Infrafrontier Gmbh, Munich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2978","type":"fairsharing_records","attributes":{"created_at":"2020-05-06T18:22:27.000Z","updated_at":"2023-07-17T11:11:04.820Z","metadata":{"doi":"10.25504/FAIRsharing.7fKiFY","name":"The Digital Archaeological Record","status":"ready","contacts":[{"contact_email":"comments@tdar.org"}],"homepage":"https://www.tdar.org/","citations":[{"doi":"10.1017/aap.2017.18","pubmed_id":null,"publication_id":3954}],"identifier":2978,"description":"The Digital Archaeological Record (tDAR) is an international digital repository for the digital records of archaeological investigations. tDAR’s use, development, and maintenance are governed by the Center for Digital Antiquity, an organization dedicated to ensuring the long-term preservation of irreplaceable archaeological data and to broadening the access to these data.","abbreviation":"tDAR","data_curation":{"url":"https://core.tdar.org/cart/add#","type":"manual"},"support_links":[{"url":"https://www.tdar.org/news/","name":"News","type":"Blog/News"},{"url":"https://www.tdar.org/about/contact-us/","name":"Contact Information","type":"Contact form"},{"url":"https://www.tdar.org/using-tdar/","name":"Using tDAR","type":"Help documentation"},{"url":"https://www.digitalantiquity.org/publications/","name":"Publications","type":"Help documentation"},{"url":"https://www.tdar.org/about/","name":"About","type":"Help documentation"},{"url":"https://www.tdar.org/why-tdar/access/","name":"Access and Use","type":"Help documentation"},{"url":"https://twitter.com/DigArcRec","name":"@DigArcRec","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010347","name":"re3data:r3d100010347","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.tdar.org/why-tdar/compliance/","name":"All files in tDAR are constantly checked to ensure that they are valid. Files are migrated to preservation formats automatically to ensure long-term access."},"data_deposition_condition":{"url":"https://core.tdar.org/cart/add#","type":"controlled","notes":"Data are reviewed and added by the curation team only (upon service-fees)."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001484","bsg-d001484"],"name":"FAIRsharing record for: The Digital Archaeological Record","abbreviation":"tDAR","url":"https://fairsharing.org/10.25504/FAIRsharing.7fKiFY","doi":"10.25504/FAIRsharing.7fKiFY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Digital Archaeological Record (tDAR) is an international digital repository for the digital records of archaeological investigations. tDAR’s use, development, and maintenance are governed by the Center for Digital Antiquity, an organization dedicated to ensuring the long-term preservation of irreplaceable archaeological data and to broadening the access to these data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Archaeology","Data Integration","Data Management","Anthropology"],"domains":["Digital curation","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3954,"pubmed_id":null,"title":"tDAR","year":2017,"url":"http://dx.doi.org/10.1017/aap.2017.18","authors":"McManamon, Francis P.; Kintigh, Keith W.; Ellison, Leigh Anne; Brin, Adam; ","journal":"Adv. archaeol. pract.","doi":"10.1017/aap.2017.18","created_at":"2023-07-17T10:54:08.962Z","updated_at":"2023-07-17T10:54:08.962Z"}],"licence_links":[{"licence_name":"tDAR Policies and Procedures","licence_id":775,"licence_url":"https://www.tdar.org/about/policies/","link_id":894,"relation":"undefined"}],"grants":[{"id":3911,"fairsharing_record_id":2978,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:30.281Z","updated_at":"2021-09-30T09:26:30.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3914,"fairsharing_record_id":2978,"organisation_id":1984,"relation":"funds","created_at":"2021-09-30T09:26:30.356Z","updated_at":"2021-09-30T09:26:30.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":1984,"name":"National Endowment for the Humanities","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3915,"fairsharing_record_id":2978,"organisation_id":417,"relation":"maintains","created_at":"2021-09-30T09:26:30.391Z","updated_at":"2021-09-30T09:26:30.391Z","grant_id":null,"is_lead":true,"saved_state":{"id":417,"name":"Center for Digital Antiquity","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3913,"fairsharing_record_id":2978,"organisation_id":95,"relation":"funds","created_at":"2021-09-30T09:26:30.330Z","updated_at":"2021-09-30T09:26:30.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":95,"name":"Andrew W. Mellon Foundation, New York, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3912,"fairsharing_record_id":2978,"organisation_id":114,"relation":"associated_with","created_at":"2021-09-30T09:26:30.306Z","updated_at":"2023-07-17T10:55:31.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBczhDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6d0722a42b8cd276183e0db26cd7a52d39c2e6ca/bg-logo-transparent.png?disposition=inline","exhaustive_licences":false}},{"id":"2979","type":"fairsharing_records","attributes":{"created_at":"2020-05-06T21:04:06.000Z","updated_at":"2024-06-18T13:07:20.348Z","metadata":{"doi":"10.25504/FAIRsharing.9e23f2","name":"NanoCommons Knowledge Base","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@nanocommons.eu"}],"homepage":"https://www.nanocommons.eu/nanocommons-knowledge-base/","citations":[{"doi":"10.3389/fphy.2023.1271842","pubmed_id":null,"publication_id":4273}],"identifier":2979,"description":"The NanoCommons Knowledge Base is a data source provided by the NanoCommons project. It is based on the BioXM TM Knowledge Management Environment, developed over the last 15 years by Biomax Informatics AG and applied in multiple collaborative research projects and commercial environments. This database requires registration. NanoCommons provides a community framework and infrastructure for reproducible science and in-silico workflows for nanomaterials safety assessment","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.nanocommons.eu/e-infrastructure/frequently-asked-questions/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2019,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013329","name":"re3data:r3d100013329","portal":"re3data"}],"data_access_condition":{"url":"https://www.nanocommons.eu/ta-access/","type":"controlled"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.nanocommons.eu/e-infrastructure/frequently-asked-questions/","type":"open","notes":"Submission via email enquiries only."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001485","bsg-d001485"],"name":"FAIRsharing record for: NanoCommons Knowledge Base","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9e23f2","doi":"10.25504/FAIRsharing.9e23f2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NanoCommons Knowledge Base is a data source provided by the NanoCommons project. It is based on the BioXM TM Knowledge Management Environment, developed over the last 15 years by Biomax Informatics AG and applied in multiple collaborative research projects and commercial environments. This database requires registration. NanoCommons provides a community framework and infrastructure for reproducible science and in-silico workflows for nanomaterials safety assessment","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11560},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16769}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Toxicogenomics","Composite Materials","Nanotechnology","Materials Informatics","Materials Engineering","Occupational Medicine","Toxicology","Chemistry","Safety Science","Analytical Chemistry","Biology"],"domains":["Nanoparticle","Toxicity"],"taxonomies":["Not applicable"],"user_defined_tags":["Nanosafety","Systems toxicology"],"countries":["Germany"],"publications":[{"id":4273,"pubmed_id":null,"title":"Harmonising knowledge for safer materials via the “NanoCommons” Knowledge Base","year":2023,"url":"http://dx.doi.org/10.3389/fphy.2023.1271842","authors":"Maier, Dieter; Exner, Thomas E.; Papadiamantis, Anastasios G.; Ammar, Ammar; Tsoumanis, Andreas; Doganis, Philip; Rouse, Ian; Slater, Luke T.; Gkoutos, Georgios V.; Jeliazkova, Nina; Ilgenfritz, Hilmar; Ziegler, Martin; Gerhard, Beatrix; Kopetsky, Sebastian; Joshi, Deven; Walker, Lee; Svendsen, Claus; Sarimveis, Haralambos; Lobaskin, Vladimir; Himly, Martin; van Rijn, Jeaphianne; Winckers, Laurent; Millán Acosta, Javier; Willighagen, Egon; Melagraki, Georgia; Afantitis, Antreas; Lynch, Iseult; ","journal":"Front. Phys.","doi":"10.3389/fphy.2023.1271842","created_at":"2024-05-05T09:58:57.974Z","updated_at":"2024-05-05T09:58:57.974Z"},{"id":4274,"pubmed_id":null,"title":"Effect of the Albumin Corona on the Toxicity of Combined Graphene Oxide and Cadmium to Daphnia magna and Integration of the Datasets into the NanoCommons Knowledge Base","year":2020,"url":"http://dx.doi.org/10.3390/nano10101936","authors":"Martinez, Diego Stéfani T.; Da Silva, Gabriela H.; de Medeiros, Aline Maria Z.; Khan, Latif U.; Papadiamantis, Anastasios G.; Lynch, Iseult; ","journal":"Nanomaterials","doi":"10.3390/nano10101936","created_at":"2024-05-05T10:01:54.989Z","updated_at":"2024-05-05T10:01:54.989Z"}],"licence_links":[],"grants":[{"id":3916,"fairsharing_record_id":2979,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:26:30.413Z","updated_at":"2021-09-30T09:29:19.724Z","grant_id":197,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"731032","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3917,"fairsharing_record_id":2979,"organisation_id":1929,"relation":"maintains","created_at":"2021-09-30T09:26:30.439Z","updated_at":"2021-09-30T09:26:30.439Z","grant_id":null,"is_lead":true,"saved_state":{"id":1929,"name":"Nanocommons","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBazhFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3efcdc8c63c4229f3dbf72bba1f7ecec544b1388/NanoCommons-Logo-1.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2980","type":"fairsharing_records","attributes":{"created_at":"2020-05-07T10:22:34.000Z","updated_at":"2023-12-15T10:32:48.308Z","metadata":{"doi":"10.25504/FAIRsharing.0f86f9","name":"RRUFF Database","status":"ready","contacts":[{"contact_name":"Bob Downs","contact_email":"rdowns@u.arizona.edu"}],"homepage":"https://rruff.info/","citations":[{"publication_id":2976}],"identifier":2980,"description":"The goal of the RRUFF Database is to store a complete set of spectral data from well characterized minerals, and to make that data publicly available. This data can be used as a standard for mineralogists, geoscientists, gemologists and the general public for the identification of minerals both on earth and in space exploration.","abbreviation":"RRUFF Database","data_curation":{"url":"https://rruff.info/about/about_software.php","type":"manual/automated"},"support_links":[{"url":"hyang@email.arizona.edu","name":"Hexiong Yang","type":"Support email"},{"url":"https://rruff.info/about/about_general.php","name":"About","type":"Help documentation"},{"url":"https://rruff.info/about/about_status.php","name":"Mineral Status Values","type":"Help documentation"},{"url":"https://rruff.info/about/about_photography.php","name":"Photography for RRUFF","type":"Help documentation"},{"url":"https://rruff.info/about/about_sample_detail.php","name":"About Database Records","type":"Help documentation"},{"url":"https://rruff.info/about/about_equipment.php","name":"Equipment Used","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"https://rruff.info/about/about_software.php","name":"CrystalSleuth"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010766","name":"re3data:r3d100010766","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://rruff.info/about/about_general.php","type":"open","notes":"The project welcomes new samples including minerals not present in the database as well as additional samples from different localities."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001486","bsg-d001486"],"name":"FAIRsharing record for: RRUFF Database","abbreviation":"RRUFF Database","url":"https://fairsharing.org/10.25504/FAIRsharing.0f86f9","doi":"10.25504/FAIRsharing.0f86f9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the RRUFF Database is to store a complete set of spectral data from well characterized minerals, and to make that data publicly available. This data can be used as a standard for mineralogists, geoscientists, gemologists and the general public for the identification of minerals both on earth and in space exploration.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Gemology","Chemistry","Earth Science","Mineralogy"],"domains":["Chemical structure","Raman spectroscopy"],"taxonomies":["Not applicable"],"user_defined_tags":["Gemology"],"countries":["United States"],"publications":[{"id":2976,"pubmed_id":null,"title":"The power of databases: The RRUFF project","year":2016,"url":"https://rruff.info/about/downloads/HMC1-30.pdf","authors":"Barbara Lafuente, Robert T Downs, Hexiong Yang, Nate Stone","journal":"Highlights in Mineralogical Crystallography (pp. 1-29)","doi":null,"created_at":"2021-09-30T08:28:06.692Z","updated_at":"2021-09-30T08:28:06.692Z"}],"licence_links":[{"licence_name":"RRUFF Database Terms and Conditions","licence_id":715,"licence_url":"https://rruff.info/","link_id":631,"relation":"undefined"}],"grants":[{"id":3919,"fairsharing_record_id":2980,"organisation_id":113,"relation":"funds","created_at":"2021-09-30T09:26:30.495Z","updated_at":"2021-09-30T09:26:30.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":113,"name":"Arizona Science Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3922,"fairsharing_record_id":2980,"organisation_id":1599,"relation":"funds","created_at":"2021-09-30T09:26:30.578Z","updated_at":"2021-09-30T09:26:30.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":1599,"name":"Jet Propulsion Laboratory, California Institute of Technology, NASA, Pasadena, CA","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":3918,"fairsharing_record_id":2980,"organisation_id":2652,"relation":"funds","created_at":"2021-09-30T09:26:30.463Z","updated_at":"2021-09-30T09:26:30.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":2652,"name":"Strategic University Research Partnership program, NASA, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3920,"fairsharing_record_id":2980,"organisation_id":2151,"relation":"funds","created_at":"2021-09-30T09:26:30.524Z","updated_at":"2021-09-30T09:26:30.524Z","grant_id":null,"is_lead":false,"saved_state":{"id":2151,"name":"Newmont Mining Corporation, Greenwood Village, CO, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3921,"fairsharing_record_id":2980,"organisation_id":1053,"relation":"funds","created_at":"2021-09-30T09:26:30.548Z","updated_at":"2021-09-30T09:26:30.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":1053,"name":"Freeport-McMoRan Corporation, Phoenix, AZ, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3923,"fairsharing_record_id":2980,"organisation_id":1842,"relation":"maintains","created_at":"2021-09-30T09:26:30.620Z","updated_at":"2021-09-30T09:26:30.620Z","grant_id":null,"is_lead":false,"saved_state":{"id":1842,"name":"Mineralogy and cristallography lab, Department of Geosciences, University of Arizona, AZ, U.S.A","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3926,"fairsharing_record_id":2980,"organisation_id":1828,"relation":"funds","created_at":"2021-09-30T09:26:30.737Z","updated_at":"2021-09-30T09:26:30.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":1828,"name":"Michael Scott","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3924,"fairsharing_record_id":2980,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:30.658Z","updated_at":"2021-09-30T09:30:16.022Z","grant_id":627,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0622371","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3925,"fairsharing_record_id":2980,"organisation_id":1934,"relation":"funds","created_at":"2021-09-30T09:26:30.696Z","updated_at":"2021-09-30T09:30:56.568Z","grant_id":945,"is_lead":false,"saved_state":{"id":1934,"name":"NASA Ames Research Center, CA, USA","grant":"NASA NNX11AP82A","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2981","type":"fairsharing_records","attributes":{"created_at":"2020-05-09T08:14:25.000Z","updated_at":"2023-12-15T10:30:01.195Z","metadata":{"doi":"10.25504/FAIRsharing.VErHgW","name":"EMODnet Human Activities","status":"ready","homepage":"https://www.emodnet-humanactivities.eu/","identifier":2981,"description":"EMODnet Human Activities provides access to existing marine data on activities carried out in EU waters by building a single entry point for geographic information on 14 different themes. The portal includes information on geographical position, spatial extent of a series of activities related to the sea, their temporal variation, time when data was provided, and attributes to indicate the intensity of each activity. The data are aggregated and presented so as to preserve personal privacy and commercially-sensitive information. The data also include a time interval so that historic as well as current activities can be included.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.emodnet-humanactivities.eu/blog/","name":"EMODnet Human Activities Blog","type":"Blog/News"},{"url":"https://www.emodnet-humanactivities.eu/contact-us.php","name":"Contact Form","type":"Contact form"},{"url":"https://www.emodnet-humanactivities.eu/support.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.emodnet-humanactivities.eu/about-ha.php","name":"About","type":"Help documentation"},{"url":"https://www.emodnet-humanactivities.eu/documents.php","name":"Publications","type":"Help documentation"},{"url":"https://www.emodnet-humanactivities.eu/sources.php","name":"Data Sources","type":"Help documentation"},{"url":"https://www.emodnet-humanactivities.eu/partners.php","name":"Partners","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://emodnet.ec.europa.eu/en/contribute-data-emodnet","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001487","bsg-d001487"],"name":"FAIRsharing record for: EMODnet Human Activities","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.VErHgW","doi":"10.25504/FAIRsharing.VErHgW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EMODnet Human Activities provides access to existing marine data on activities carried out in EU waters by building a single entry point for geographic information on 14 different themes. The portal includes information on geographical position, spatial extent of a series of activities related to the sea, their temporal variation, time when data was provided, and attributes to indicate the intensity of each activity. The data are aggregated and presented so as to preserve personal privacy and commercially-sensitive information. The data also include a time interval so that historic as well as current activities can be included.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Geography","Maritime Engineering","Aquaculture","Earth Science"],"domains":["Geographical location","Marine environment"],"taxonomies":["All"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":3927,"fairsharing_record_id":2981,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:30.779Z","updated_at":"2021-09-30T09:26:30.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3928,"fairsharing_record_id":2981,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:30.820Z","updated_at":"2021-09-30T09:26:30.820Z","grant_id":null,"is_lead":true,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2959","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T10:20:25.000Z","updated_at":"2023-12-15T10:33:00.547Z","metadata":{"doi":"10.25504/FAIRsharing.ead9cc","name":"HEP Drug Interactions","status":"ready","contacts":[{"contact_name":"David Back","contact_email":"D.J.Back@liverpool.ac.uk","contact_orcid":"0000-0002-7381-4799"}],"homepage":"https://www.hep-druginteractions.org/","identifier":2959,"description":"Currently 170 million people worldwide are infected with the hepatitis C virus (HCV) and \u003e300 million with hepatitis B (HBV). Although interferon-free combination direct acting antivirals (DAAs) regimens have improved tolerability and efficacy for HCV-infected patients, drug-drug interactions (DDIs) have the potential to cause harm due to liver dysfunction, multiple comorbidities and comedications. This web site was established in 2010 by members of the Department of Pharmacology at the University of Liverpool to offer a resource for healthcare providers, researchers and patients to be able to understand and manage drug-drug interactions.","abbreviation":null,"data_curation":{"url":"https://hep-druginteractions.org/mission","type":"manual"},"support_links":[{"url":"https://www.hep-druginteractions.org/site_updates","name":"News","type":"Blog/News"},{"url":"https://www.hep-druginteractions.org/feedback","name":"Feedback","type":"Contact form"},{"url":"https://www.hep-druginteractions.org/prescribing-resources","name":"Printable materials in PDF format to aid prescribing","type":"Help documentation"},{"url":"https://www.hep-druginteractions.org/videos","name":"Series of mini-lectures on pharmacology and HEP","type":"Help documentation"},{"url":"https://twitter.com/hepinteractions","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://apps.apple.com/gb/app/liverpool-hep-ichart/id960012821","name":"Liverpool HEP iChart (AppStore)"},{"url":"https://play.google.com/store/apps/details?id=com.liverpooluni.icharthep\u0026hl=en","name":"Liverpool HEP iChart (Google Play)"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001463","bsg-d001463"],"name":"FAIRsharing record for: HEP Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ead9cc","doi":"10.25504/FAIRsharing.ead9cc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Currently 170 million people worldwide are infected with the hepatitis C virus (HCV) and \u003e300 million with hepatitis B (HBV). Although interferon-free combination direct acting antivirals (DAAs) regimens have improved tolerability and efficacy for HCV-infected patients, drug-drug interactions (DDIs) have the potential to cause harm due to liver dysfunction, multiple comorbidities and comedications. This web site was established in 2010 by members of the Department of Pharmacology at the University of Liverpool to offer a resource for healthcare providers, researchers and patients to be able to understand and manage drug-drug interactions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12913}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Virology","Biomedical Science","Epidemiology"],"domains":["Liver disease","Drug interaction","Disease"],"taxonomies":["Hepatitis b virus","Hepatitis C virus","Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"HEP Drug Interactions Terms and Conditions","licence_id":389,"licence_url":"https://www.hep-druginteractions.org/terms","link_id":857,"relation":"undefined"}],"grants":[{"id":3872,"fairsharing_record_id":2959,"organisation_id":14,"relation":"funds","created_at":"2021-09-30T09:26:29.090Z","updated_at":"2021-09-30T09:26:29.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":14,"name":"Abbvie, North Chicago, Illinois, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3875,"fairsharing_record_id":2959,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:29.198Z","updated_at":"2021-09-30T09:26:29.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3873,"fairsharing_record_id":2959,"organisation_id":907,"relation":"funds","created_at":"2021-09-30T09:26:29.128Z","updated_at":"2021-09-30T09:26:29.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":907,"name":"European Association for the Study of the Liver (EASL)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3874,"fairsharing_record_id":2959,"organisation_id":1585,"relation":"funds","created_at":"2021-09-30T09:26:29.166Z","updated_at":"2021-09-30T09:26:29.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":1585,"name":"Janssen EMEA, Beerse, Belgium","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3876,"fairsharing_record_id":2959,"organisation_id":1907,"relation":"funds","created_at":"2021-09-30T09:26:29.232Z","updated_at":"2021-09-30T09:26:29.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1907,"name":"MSD, Hoddesdon, UK","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2960","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T10:52:19.000Z","updated_at":"2023-12-15T10:33:04.210Z","metadata":{"doi":"10.25504/FAIRsharing.eca8fd","name":"Cancer Drug Interactions","status":"ready","contacts":[{"contact_name":"Nielka Van Erp","contact_email":"nielka.vanerp@radboudumc.nl","contact_orcid":"0000-0003-1553-178X"}],"homepage":"https://cancer-druginteractions.org/","citations":[],"identifier":2960,"description":"Nearly 60% of patients undergoing cancer treatment are estimated to have had at least one potential drug-drug interaction; for patients receiving oral anticancer therapy, up to 50% have been reported to experience a potential drug-drug interaction, with 16% experiencing a major event. Drug-drug interactions are therefore a significant issue for cancer patients and the health care professionals who treat them. Combining the internationally recognised drug-drug interactions expertise of the University of Liverpool (UK) with the clinical pharmacology in oncology and haemotology expertise of Radboud University, Nijmegen (the Netherlands), this site was established in 2017 in response to the need for improved management of DDIs with anti-cancer agents.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://cancer-druginteractions.org/support-us","name":"Donate","type":"Other"},{"url":"https://cancer-druginteractions.org/feedbacks/new","name":"Feedback","type":"Contact form"},{"url":"https://cancer-druginteractions.org/site_updates","name":"Website updates","type":"Help documentation"},{"url":"https://twitter.com/CancerDDIs","type":"Twitter"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"https://apps.apple.com/gb/app/cancer-ichart/id1414833100","name":"Cancer iChart (AppStore)"},{"url":"https://play.google.com/store/apps/details?id=com.liverpooluni.ichartoncology\u0026hl=en_GB","name":"Cancer iChart (Google Play)"}],"data_access_condition":{"url":"https://cancer-druginteractions.org/view_all_interactions/new","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001464","bsg-d001464"],"name":"FAIRsharing record for: Cancer Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.eca8fd","doi":"10.25504/FAIRsharing.eca8fd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Nearly 60% of patients undergoing cancer treatment are estimated to have had at least one potential drug-drug interaction; for patients receiving oral anticancer therapy, up to 50% have been reported to experience a potential drug-drug interaction, with 16% experiencing a major event. Drug-drug interactions are therefore a significant issue for cancer patients and the health care professionals who treat them. Combining the internationally recognised drug-drug interactions expertise of the University of Liverpool (UK) with the clinical pharmacology in oncology and haemotology expertise of Radboud University, Nijmegen (the Netherlands), this site was established in 2017 in response to the need for improved management of DDIs with anti-cancer agents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Biomedical Science"],"domains":["Cancer","Drug interaction","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Drug Interactions Terms and Conditions","licence_id":254,"licence_url":"https://cancer-druginteractions.org/terms","link_id":2326,"relation":"undefined"}],"grants":[{"id":3878,"fairsharing_record_id":2960,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:26:29.288Z","updated_at":"2021-09-30T09:26:29.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3881,"fairsharing_record_id":2960,"organisation_id":311,"relation":"funds","created_at":"2021-09-30T09:26:29.371Z","updated_at":"2021-09-30T09:26:29.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":311,"name":"Bristol Myers Squibb, New York, NY, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3877,"fairsharing_record_id":2960,"organisation_id":2399,"relation":"maintains","created_at":"2021-09-30T09:26:29.265Z","updated_at":"2021-09-30T09:26:29.265Z","grant_id":null,"is_lead":false,"saved_state":{"id":2399,"name":"Radboud University Medical Center, Nijmegen, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3879,"fairsharing_record_id":2960,"organisation_id":1585,"relation":"funds","created_at":"2021-09-30T09:26:29.314Z","updated_at":"2021-09-30T09:26:29.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":1585,"name":"Janssen EMEA, Beerse, Belgium","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3880,"fairsharing_record_id":2960,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:29.346Z","updated_at":"2021-09-30T09:26:29.346Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3882,"fairsharing_record_id":2960,"organisation_id":1548,"relation":"funds","created_at":"2021-09-30T09:26:29.398Z","updated_at":"2021-09-30T09:26:29.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":1548,"name":"Ipsen, Boulogne-Billancourt, France","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":9200,"fairsharing_record_id":2960,"organisation_id":2312,"relation":"funds","created_at":"2022-04-11T12:07:21.501Z","updated_at":"2022-04-11T12:07:21.501Z","grant_id":null,"is_lead":false,"saved_state":{"id":2312,"name":"Pfizer, USA","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2961","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T12:23:51.000Z","updated_at":"2023-06-23T10:50:36.071Z","metadata":{"doi":"10.25504/FAIRsharing.58ee0e","name":"Novartis Clinical Trial Results Database","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"icm.phfr@novartis.com"}],"homepage":"https://www.novartis.com/ca-en/healthcare-professionals/novartis-clinical-trials","citations":[],"identifier":2961,"description":"Novartis launched the results website in 2005 becoming one of the first companies to publically post results from Phase 2b-4 interventional trials. The Novartis position evolved over time to include public disclosure of results from Phase 1- 2a interventional trials in patients.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.novartis.com/sites/novartis_com/files/clinical-trial-data-transparency.pdf","name":"Novartis Position on Clinical Study1 Transparency Clinical Study Registration, Results Reporting and Data Sharing","type":"Help documentation"},{"url":"https://www.novartis.com/clinicaltrials","name":"Learn more","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013312","name":"re3data:r3d100013312","portal":"re3data"}],"data_access_condition":{"url":"https://www.novctrd.com/#/clinicaltrialresults?category=MedicalCondition","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Only Novartis clinical trials results are stored"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001465","bsg-d001465"],"name":"FAIRsharing record for: Novartis Clinical Trial Results Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.58ee0e","doi":"10.25504/FAIRsharing.58ee0e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Novartis launched the results website in 2005 becoming one of the first companies to publically post results from Phase 2b-4 interventional trials. The Novartis position evolved over time to include public disclosure of results from Phase 1- 2a interventional trials in patients.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12361},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12914}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Biomedical Science","Epidemiology"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["France","Switzerland"],"publications":[],"licence_links":[{"licence_name":"Novartis Terms of Use","licence_id":1047,"licence_url":"https://www.novartis.com/ca-en/terms-use","link_id":3171,"relation":"applies_to_content"},{"licence_name":"Novartis Privacy Policy","licence_id":1048,"licence_url":"https://www.novartis.com/ca-en/privacy-policy","link_id":3172,"relation":"applies_to_content"}],"grants":[{"id":3884,"fairsharing_record_id":2961,"organisation_id":2194,"relation":"maintains","created_at":"2021-09-30T09:26:29.447Z","updated_at":"2021-09-30T09:26:29.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":2194,"name":"Novartis","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2962","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T13:23:08.000Z","updated_at":"2023-12-15T10:28:54.429Z","metadata":{"doi":"10.25504/FAIRsharing.4ff837","name":"Lens ","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"support@lens.org"}],"homepage":"https://www.lens.org/","citations":[],"identifier":2962,"description":"The Lens is building an interactive tool for understanding the landscape of patent and research works in any domain, including human coronaviruses and COVID-19.","abbreviation":null,"data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.linkedin.com/company/lens-org/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.lens.org/lens/feedback?returnTo=/","name":"Feedback","type":"Contact form"},{"url":"feedback@lens.org","name":"General contact","type":"Support email"},{"url":"https://support.lens.org/","type":"Help documentation"},{"url":"https://support.lens.org/lens-video-tutorials/","name":"Video tutorials","type":"Help documentation"},{"url":"https://twitter.com/TheLensOrg","name":"@TheLensOrg","type":"Twitter"},{"url":"https://about.lens.org/category/release-notes/","name":"Release Notes","type":"Help documentation"},{"url":"https://about.lens.org/category/news/","type":"Blog/News"}],"year_creation":2020,"data_versioning":"not found","associated_tools":[{"url":"https://www.lens.org/lens/patcite","name":"PatCite"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013309","name":"re3data:r3d100013309","portal":"re3data"}],"data_access_condition":{"url":"https://www.lens.org/lens/accounts","type":"partially open","notes":"Search and analyse patents and scholarly works are open for free"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.lens.org/lens/accounts","type":"controlled","notes":"Data management is not free of charge"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001466","bsg-d001466"],"name":"FAIRsharing record for: Lens ","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4ff837","doi":"10.25504/FAIRsharing.4ff837","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Lens is building an interactive tool for understanding the landscape of patent and research works in any domain, including human coronaviruses and COVID-19.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12362},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12915}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Biomedical Science","Epidemiology"],"domains":["Patent","Disease"],"taxonomies":["Coronaviridae","Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Lens Terms of Use","licence_id":1031,"licence_url":"https://about.lens.org/policies/#termsuse","link_id":3071,"relation":"applies_to_content"},{"licence_name":"Lens Individual Commercial Use Agreement","licence_id":1032,"licence_url":"https://about.lens.org/individual-commercial-use/","link_id":3072,"relation":"applies_to_content"}],"grants":[{"id":3885,"fairsharing_record_id":2962,"organisation_id":2456,"relation":"funds","created_at":"2021-09-30T09:26:29.472Z","updated_at":"2021-09-30T09:26:29.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":2456,"name":"Rockefeller Foundation, New-York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2963","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T13:49:28.000Z","updated_at":"2024-04-08T09:53:33.280Z","metadata":{"doi":"10.25504/FAIRsharing.7JCjD0","name":"Metabolic Atlas","status":"ready","contacts":[{"contact_name":"Mihail Anton","contact_email":"mihail.anton@chalmers.se","contact_orcid":"0000-0002-7753-9042"}],"homepage":"https://metabolicatlas.org/","citations":[{"doi":"10.1126/scisignal.aaz1482","pubmed_id":32209698,"publication_id":2910},{"doi":"10.1073/pnas.2102344118","pubmed_id":34282017,"publication_id":3245},{"doi":"10.1093/nar/gkac831","pubmed_id":null,"publication_id":3784}],"identifier":2963,"description":"Metabolic Atlas is a web platform integrating open-source genome scale metabolic models (GEMs) for easy browsing and analysis. The goal is to collect curated GEMs, and to bring these models closer to FAIR principles. The website provides visualisations and comparisons of the GEMs, and links to resources, algorithms, other databases, and more general software applications. Metabolic Atlas is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. In short, the vision is to create a one-stop-shop for everything metabolism related. ","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"contact@metabolicatlas.org","name":"contact@metabolicatlas.org","type":"Support email"},{"url":"https://github.com/SysBioChalmers/MetabolicAtlas/releases","name":"Github","type":"Github"},{"url":"https://metabolicatlas.org/documentation","name":"Documentation","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001467","bsg-d001467"],"name":"FAIRsharing record for: Metabolic Atlas","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7JCjD0","doi":"10.25504/FAIRsharing.7JCjD0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metabolic Atlas is a web platform integrating open-source genome scale metabolic models (GEMs) for easy browsing and analysis. The goal is to collect curated GEMs, and to bring these models closer to FAIR principles. The website provides visualisations and comparisons of the GEMs, and links to resources, algorithms, other databases, and more general software applications. Metabolic Atlas is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. In short, the vision is to create a one-stop-shop for everything metabolism related. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12916},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19554}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metagenomics","Clinical Chemistry","Metabolomics","Synthetic Biology","Systems Biology"],"domains":["Mathematical model","Model organism","Network model","Biomarker","Pathway model"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":["Genome Scale Metabolic Model"],"countries":["Denmark","Sweden","United Kingdom","United States"],"publications":[{"id":2910,"pubmed_id":32209698,"title":"An atlas of human metabolism.","year":2020,"url":"http://doi.org/eaaz1482","authors":"Robinson JL,Kocabas P,Wang H,Cholley PE,Cook D,Nilsson A,Anton M,Ferreira R,Domenzain I,Billa V,Limeta A,Hedin A,Gustafsson J,Kerkhoven EJ,Svensson LT,Palsson BO,Mardinoglu A,Hansson L,Uhlen M,Nielsen J","journal":"Sci Signal","doi":"10.1126/scisignal.aaz1482","created_at":"2021-09-30T08:27:58.350Z","updated_at":"2021-09-30T08:27:58.350Z"},{"id":3245,"pubmed_id":34282017,"title":"Genome-scale metabolic network reconstruction of model animals as a platform for translational research","year":2021,"url":"http://dx.doi.org/10.1073/pnas.2102344118","authors":"Wang, Hao; Robinson, Jonathan L.; Kocabas, Pinar; Gustafsson, Johan; Anton, Mihail; Cholley, Pierre-Etienne; Huang, Shan; Gobom, Johan; Svensson, Thomas; Uhlen, Mattias; Zetterberg, Henrik; Nielsen, Jens; ","journal":"Proc Natl Acad Sci USA","doi":"10.1073/pnas.2102344118","created_at":"2022-03-03T07:27:33.017Z","updated_at":"2022-03-03T07:27:33.017Z"},{"id":3246,"pubmed_id":null,"title":"Human metabolic atlas: an online resource for human metabolism","year":2015,"url":"http://dx.doi.org/10.1093/database/bav068","authors":"Pornputtapong, Natapol; Nookaew, Intawat; Nielsen, Jens; ","journal":"Database","doi":"10.1093/database/bav068","created_at":"2022-03-03T07:39:38.631Z","updated_at":"2022-03-03T07:39:38.631Z"},{"id":3784,"pubmed_id":null,"title":"GotEnzymes: an extensive database of enzyme parameter predictions","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac831","authors":"Li, Feiran; Chen, Yu; Anton, Mihail; Nielsen, Jens; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac831","created_at":"2023-02-06T12:08:02.005Z","updated_at":"2023-02-06T12:08:02.005Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3578,"relation":"applies_to_content"}],"grants":[{"id":8901,"fairsharing_record_id":2963,"organisation_id":491,"relation":"collaborates_on","created_at":"2022-03-03T07:37:03.722Z","updated_at":"2022-03-03T07:37:03.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":491,"name":"Chalmers University of Technology, Gothenburg, Sweden","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":8903,"fairsharing_record_id":2963,"organisation_id":2795,"relation":"funds","created_at":"2022-03-03T07:42:31.610Z","updated_at":"2022-03-03T07:42:31.610Z","grant_id":null,"is_lead":false,"saved_state":{"id":2795,"name":"The Knut and Alice Wallenberg Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8902,"fairsharing_record_id":2963,"organisation_id":1952,"relation":"maintains","created_at":"2022-03-03T07:37:03.790Z","updated_at":"2022-03-03T07:37:03.790Z","grant_id":null,"is_lead":true,"saved_state":{"id":1952,"name":"National Bioinformatics Structure Sweden, Uppsala, Sweden","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBZUT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--461a8c7db9a83566df1999899af0900b2edf8bd3/metAtlas_logo.png?disposition=inline","exhaustive_licences":true}},{"id":"2964","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T14:04:36.000Z","updated_at":"2022-07-20T10:24:54.309Z","metadata":{"name":"Influenza Life Cycle pathway map","status":"deprecated","contacts":[{"contact_name":"Yukiko Matsuoka","contact_email":"myukiko@sbi.jp","contact_orcid":"0000-0002-5171-9096"}],"homepage":"https://www.influenza-x.org/","citations":[],"identifier":2964,"description":"To understand the mechanisms of influenza A viral replication and the host responses, we took the literature-based manual curation approach to construct a comprehensive influenza virus-host respoce map. The infuenza A virus (IAV) comprehensive pathway map (FluMap) was constructed by manual curation with the literature as well as various pathway databases such as Reactome, KEGG and Panther Pathway database.","abbreviation":"FluMap","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.influenza-x.org/flumap/About.html","name":"About","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2022-01-27","deprecation_reason":"This resource no longer is being served by the listed homepage. No alternative homepage can be found. Please get in touch with us if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001468","bsg-d001468"],"name":"FAIRsharing record for: Influenza Life Cycle pathway map","abbreviation":"FluMap","url":"https://fairsharing.org/fairsharing_records/2964","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To understand the mechanisms of influenza A viral replication and the host responses, we took the literature-based manual curation approach to construct a comprehensive influenza virus-host respoce map. The infuenza A virus (IAV) comprehensive pathway map (FluMap) was constructed by manual curation with the literature as well as various pathway databases such as Reactome, KEGG and Panther Pathway database.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12917}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Life Science","Epidemiology"],"domains":["Computational biological predictions","Disease","Literature curation"],"taxonomies":["Influenza virus"],"user_defined_tags":["Drug Target"],"countries":["Japan"],"publications":[{"id":2888,"pubmed_id":24088197,"title":"A comprehensive map of the influenza A virus replication cycle.","year":2013,"url":"http://doi.org/10.1186/1752-0509-7-97","authors":"Matsuoka Y,Matsumae H,Katoh M,Eisfeld AJ,Neumann G,Hase T,Ghosh S,Shoemaker JE,Lopes TJ,Watanabe T,Watanabe S,Fukuyama S,Kitano H,Kawaoka Y","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-7-97","created_at":"2021-09-30T08:27:55.649Z","updated_at":"2021-09-30T08:27:55.649Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":487,"relation":"undefined"}],"grants":[{"id":3886,"fairsharing_record_id":2964,"organisation_id":2694,"relation":"maintains","created_at":"2021-09-30T09:26:29.497Z","updated_at":"2021-09-30T09:26:29.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":2694,"name":"Systems Biology Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2966","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T22:22:02.000Z","updated_at":"2023-12-15T10:29:13.861Z","metadata":{"doi":"10.25504/FAIRsharing.a971f7","name":"myExperiment","status":"ready","contacts":[],"homepage":"https://www.myexperiment.org/","citations":[{"doi":"10.1093/nar/gkq429","pubmed_id":20501605,"publication_id":2897}],"identifier":2966,"description":"myExperiment is a collaborative environment where scientists can safely publish their workflows and in silico experiments, share them with groups and find those of others. Workflows, other digital objects and bundles (called Packs) can now be swapped, sorted and searched like photos and videos on the Web.","abbreviation":"myExperiment","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.myexperiment.org/feedback","type":"Contact form"},{"url":"https://lists.nongnu.org/mailman/listinfo/myexperiment-discuss","name":"Mailing list","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010473","name":"re3data:r3d100010473","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001795","name":"SciCrunch:RRID:SCR_001795","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001470","bsg-d001470"],"name":"FAIRsharing record for: myExperiment","abbreviation":"myExperiment","url":"https://fairsharing.org/10.25504/FAIRsharing.a971f7","doi":"10.25504/FAIRsharing.a971f7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: myExperiment is a collaborative environment where scientists can safely publish their workflows and in silico experiments, share them with groups and find those of others. Workflows, other digital objects and bundles (called Packs) can now be swapped, sorted and searched like photos and videos on the Web.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12265}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics"],"domains":["Workflow"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2897,"pubmed_id":20501605,"title":"myExperiment: a repository and social network for the sharing of bioinformatics workflows.","year":2010,"url":"http://doi.org/10.1093/nar/gkq429","authors":"Goble CA,Bhagat J,Aleksejevs S,Cruickshank D,Michaelides D,Newman D,Borkum M,Bechhofer S,Roos M,Li P,De Roure D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq429","created_at":"2021-09-30T08:27:56.688Z","updated_at":"2021-09-30T11:29:48.338Z"}],"licence_links":[{"licence_name":"myExperiment Privacy Policy","licence_id":903,"licence_url":"https://www.myexperiment.org/privacy","link_id":2574,"relation":"applies_to_content"}],"grants":[{"id":3890,"fairsharing_record_id":2966,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:26:29.603Z","updated_at":"2021-09-30T09:26:29.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3892,"fairsharing_record_id":2966,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:29.687Z","updated_at":"2021-09-30T09:29:07.237Z","grant_id":102,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"270137","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8028,"fairsharing_record_id":2966,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:29.545Z","updated_at":"2021-09-30T09:30:29.604Z","grant_id":734,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"283359","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8056,"fairsharing_record_id":2966,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:41.203Z","updated_at":"2021-09-30T09:30:41.259Z","grant_id":822,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"270192","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3889,"fairsharing_record_id":2966,"organisation_id":3122,"relation":"maintains","created_at":"2021-09-30T09:26:29.572Z","updated_at":"2021-09-30T09:26:29.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":3122,"name":"University of Southampton, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3891,"fairsharing_record_id":2966,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:26:29.645Z","updated_at":"2021-09-30T09:26:29.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2967","type":"fairsharing_records","attributes":{"created_at":"2020-04-27T14:46:50.000Z","updated_at":"2023-06-23T11:00:55.749Z","metadata":{"doi":"10.25504/FAIRsharing.6f54c5","name":"International Human Epigenome Consortium Data Portal","status":"ready","contacts":[{"contact_name":"IHEC Data Portal Helpdesk","contact_email":"info@epigenomesportal.ca"}],"homepage":"https://epigenomesportal.ca/ihec/help.html","citations":[{"doi":"10.1016/j.cels.2016.10.019","pubmed_id":27863956,"publication_id":2905}],"identifier":2967,"description":"The International Human Epigenome Consortium (IHEC) coordinates the production of reference epigenome maps through the characterization of the regulome, methylome, and transcriptome from a wide range of tissues and cell types. The IHEC Data Portal provides discovery, visualization, analysis, download, and sharing of epigenomics data, is the official source to navigate through IHEC datasets, and represents a strategy for unifying the distributed data produced by international research consortia.","abbreviation":"IHEC Data Portal","data_curation":{"type":"none"},"support_links":[{"url":"https://epigenomesportal.ca/ihec/help.html","name":"Help","type":"Help documentation"},{"url":"https://epigenomesportal.ca/ihec/community.html","name":"Community","type":"Help documentation"},{"url":"https://epigenomesportal.ca/ihec/about.html","name":"About","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013991","name":"re3data:r3d100013991","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014625","name":"SciCrunch:RRID:SCR_014625","portal":"SciCrunch"}],"data_access_condition":{"url":"https://epigenomesportal.ca/edcc/data_access.html","type":"partially open","notes":"Access to raw data is controlled."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001471","bsg-d001471"],"name":"FAIRsharing record for: International Human Epigenome Consortium Data Portal","abbreviation":"IHEC Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.6f54c5","doi":"10.25504/FAIRsharing.6f54c5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Human Epigenome Consortium (IHEC) coordinates the production of reference epigenome maps through the characterization of the regulome, methylome, and transcriptome from a wide range of tissues and cell types. The IHEC Data Portal provides discovery, visualization, analysis, download, and sharing of epigenomics data, is the official source to navigate through IHEC datasets, and represents a strategy for unifying the distributed data produced by international research consortia.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11133},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12363},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12919}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenomics","Epigenetics"],"domains":["Expression data"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2905,"pubmed_id":27863956,"title":"The International Human Epigenome Consortium Data Portal.","year":2016,"url":"http://doi.org/S2405-4712(16)30362-3","authors":"Bujold D,Morais DAL,Gauthier C,Cote C,Caron M,Kwan T,Chen KC,Laperle J,Markovits AN,Pastinen T,Caron B,Veilleux A,Jacques PE,Bourque G","journal":"Cell Syst","doi":"10.1016/j.cels.2016.10.019","created_at":"2021-09-30T08:27:57.716Z","updated_at":"2021-09-30T08:27:57.716Z"}],"licence_links":[{"licence_name":"IHEC Data Portal Terms and Conditions","licence_id":429,"licence_url":"https://epigenomesportal.ca/ihec/about.html#terms","link_id":876,"relation":"undefined"}],"grants":[{"id":3893,"fairsharing_record_id":2967,"organisation_id":1494,"relation":"maintains","created_at":"2021-09-30T09:26:29.724Z","updated_at":"2021-09-30T09:26:29.724Z","grant_id":null,"is_lead":true,"saved_state":{"id":1494,"name":"International Human Epigenome Consortium (IHEC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2968","type":"fairsharing_records","attributes":{"created_at":"2020-04-30T15:18:38.000Z","updated_at":"2023-06-22T17:42:02.976Z","metadata":{"doi":"10.25504/FAIRsharing.cF5x1V","name":"Infectious Diseases Data Observatory","status":"ready","contacts":[{"contact_name":"Professor Philippe Guérin","contact_email":"info@iddo.org","contact_orcid":"0000-0002-6333-0109"}],"homepage":"https://www.iddo.org/","identifier":2968,"description":"The Infectious Diseases Data Observatory (IDDO) assembles clinical, laboratory and epidemiological data on a collaborative platform to be shared with the research and humanitarian communities. The data are analysed to generate reliable evidence and innovative resources that enable research-driven responses to the major challenges of emerging and neglected infections. Data is organized into research themes, with both submitters storing and requesters asking for data via the central IDDO platform. Certain data (listed in data inventories or available via various portals) is available publicly, while the rest must be applied and permission received for.","abbreviation":"IDDO","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.linkedin.com/company/iddo---infectious-diseases-data-observatory/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.iddo.org/news","name":"News","type":"Blog/News"},{"url":"comms@iddo.org","name":"Communications Team","type":"Support email"},{"url":"https://iddo.us2.list-manage.com/subscribe?u=fd49ccbdae5a59ea957607de1\u0026id=04f4ad3433","name":"IDDO newsletter","type":"Mailing list"},{"url":"https://www.iddo.org/research-themes","name":"Research Themes","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/ebola","name":"Ebola Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/covid-19","name":"COVID 19 Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/malaria","name":"Malaria Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/medicine-quality","name":"Medicine Quality Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/antimicrobial-resistance","name":"Antimicrobial Resistance Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/schistosomiasis-sths","name":"Schistosomiasis and STHs Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/chagas-disease","name":"Chagas Disease Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/prospective-disease-platforms","name":"Prospective Disease Platforms Theme","type":"Help documentation"},{"url":"https://www.iddo.org/tools-and-resources","name":"Tools and Resources","type":"Help documentation"},{"url":"https://www.iddo.org/about-us/our-work","name":"About","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UC71fat27jtH6sAQttB4m76A","name":"Youtube","type":"Video"},{"url":"https://www.iddo.org/document/iddo-data-access-journey","name":"IDDO Data Access Journey","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/visceral-leishmaniasis","name":"VL Theme","type":"Help documentation"},{"url":"https://twitter.com/IDDOnews","name":"@IDDOnews","type":"Twitter"}],"year_creation":2016,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013358","name":"re3data:r3d100013358","portal":"re3data"}],"data_access_condition":{"url":"https://www.iddo.org/data-sharing/accessing-data","type":"controlled","notes":"The data are accessible on request, after validation of the request"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.iddo.org/data-sharing/contributing-data","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001473","bsg-d001473"],"name":"FAIRsharing record for: Infectious Diseases Data Observatory","abbreviation":"IDDO","url":"https://fairsharing.org/10.25504/FAIRsharing.cF5x1V","doi":"10.25504/FAIRsharing.cF5x1V","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Infectious Diseases Data Observatory (IDDO) assembles clinical, laboratory and epidemiological data on a collaborative platform to be shared with the research and humanitarian communities. The data are analysed to generate reliable evidence and innovative resources that enable research-driven responses to the major challenges of emerging and neglected infections. Data is organized into research themes, with both submitters storing and requesters asking for data via the central IDDO platform. Certain data (listed in data inventories or available via various portals) is available publicly, while the rest must be applied and permission received for.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12364},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12961}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Public Health","Virology","Biomedical Science","Epidemiology"],"domains":["Antimicrobial","Malaria","Infection","Disease"],"taxonomies":["Coronaviridae","ebolavirus","Homo sapiens","Leishmania","Plasmodium","Plasmodium falciparum","Plasmodium vivax","Schistosoma","Trypanosoma cruzi"],"user_defined_tags":["Antimicrobial resistance","COVID-19"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"IDDO Data Access","licence_id":419,"licence_url":"https://www.iddo.org/document/iddo-data-access-guidelines","link_id":257,"relation":"undefined"},{"licence_name":"IDDO Privacy Notice","licence_id":420,"licence_url":"https://www.iddo.org/privacy-notice","link_id":248,"relation":"undefined"},{"licence_name":"IDDO Terms of Use","licence_id":421,"licence_url":"https://www.iddo.org/terms-of-use","link_id":254,"relation":"undefined"}],"grants":[{"id":3894,"fairsharing_record_id":2968,"organisation_id":3258,"relation":"maintains","created_at":"2021-09-30T09:26:29.757Z","updated_at":"2021-09-30T09:26:29.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":3258,"name":"WorldWide Antimalarial Resistance Network","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3897,"fairsharing_record_id":2968,"organisation_id":1340,"relation":"maintains","created_at":"2021-09-30T09:26:29.843Z","updated_at":"2021-09-30T09:26:29.843Z","grant_id":null,"is_lead":true,"saved_state":{"id":1340,"name":"Infectious Diseases Data Observatory (IDDO), Oxford, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3895,"fairsharing_record_id":2968,"organisation_id":472,"relation":"maintains","created_at":"2021-09-30T09:26:29.781Z","updated_at":"2021-09-30T09:26:29.781Z","grant_id":null,"is_lead":false,"saved_state":{"id":472,"name":"Centre for Tropical Medicine and Global Health, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3896,"fairsharing_record_id":2968,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:26:29.811Z","updated_at":"2021-09-30T09:26:29.811Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2939","type":"fairsharing_records","attributes":{"created_at":"2020-04-13T09:04:26.000Z","updated_at":"2024-06-27T12:31:49.536Z","metadata":{"doi":"10.25504/FAIRsharing.81e8a7","name":"WFCC Global Catalogue of Microorganisms","status":"ready","contacts":[{"contact_name":"Juncai Ma","contact_email":"ma@im.ac.cn","contact_orcid":"0000-0002-2405-2484"}],"homepage":"http://gcm.wdcm.org/","citations":[],"identifier":2939,"description":"The WFCC Global Catalogue of Microorganisms (GCM) system is designed to help microorganism culture collections to manage, disseminate and share the information related to their holdings. It also provides a uniform interface for the scientific and industrial communities to access the comprehensive microbial resource information.","abbreviation":"GCM","data_curation":{"type":"not found"},"support_links":[{"url":"wulh@im.ac.cn","name":"Linhuan Wu","type":"Support email"},{"url":"philippe.desmeth@belspo.be","name":"Philippe Desmeth","type":"Support email"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010696","name":"re3data:r3d100010696","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_016460","name":"SciCrunch:RRID:SCR_016460","portal":"SciCrunch"}],"data_access_condition":{"url":"https://gcm.wdcm.org/datausagepolicy","type":"partially open","notes":"Permission from the GCM team is required, in some cases."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gcm.wdcm.org/joinus/","type":"controlled","notes":"Contact GCM administrator for confirmation."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001443","bsg-d001443"],"name":"FAIRsharing record for: WFCC Global Catalogue of Microorganisms","abbreviation":"GCM","url":"https://fairsharing.org/10.25504/FAIRsharing.81e8a7","doi":"10.25504/FAIRsharing.81e8a7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WFCC Global Catalogue of Microorganisms (GCM) system is designed to help microorganism culture collections to manage, disseminate and share the information related to their holdings. It also provides a uniform interface for the scientific and industrial communities to access the comprehensive microbial resource information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Molecular Microbiology","Life Science","Microbiology"],"domains":[],"taxonomies":["Algae","Archaea","Bacteria","Fungi","Protozoa","Viruses"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2843,"pubmed_id":24377417,"title":"Global catalogue of microorganisms (gcm): a comprehensive database and information retrieval, analysis, and visualization system for microbial resources.","year":2014,"url":"http://doi.org/10.1186/1471-2164-14-933","authors":"Wu L,Sun Q,Sugawara H,Yang S,Zhou Y,McCluskey K,Vasilenko A,Suzuki K,Ohkuma M,Lee Y,Robert V,Ingsriswang S,Guissart F,Philippe D,Ma J","journal":"BMC Genomics","doi":"10.1186/1471-2164-14-933","created_at":"2021-09-30T08:27:49.723Z","updated_at":"2021-09-30T08:27:49.723Z"},{"id":2844,"pubmed_id":29718202,"title":"The global catalogue of microorganisms 10K type strain sequencing project: closing the genomic gaps for the validly published prokaryotic and fungi species.","year":2018,"url":"http://doi.org/10.1093/gigascience/giy026","authors":"Wu L,McCluskey K,Desmeth P,Liu S,Hideaki S,Yin Y,Moriya O,Itoh T,Kim CY,Lee JS,Zhou Y,Kawasaki H,Hazbon MH,Robert V,Boekhout T,Lima N,Evtushenko L,Boundy-Mills K,Bunk B,Moore ERB,Eurwilaichitr L,Ingsriswang S,Shah H,Yao S,Jin T,Huang J,Shi W,Sun Q,Fan G,Li W,Li X,Kurtboke I,Ma J","journal":"Gigascience","doi":"10.1093/gigascience/giy026","created_at":"2021-09-30T08:27:49.891Z","updated_at":"2021-09-30T08:27:49.891Z"},{"id":2845,"pubmed_id":30832757,"title":"The Global Catalogue of Microorganisms (GCM) 10K type strain sequencing project: providing services to taxonomists for standard genome sequencing and annotation.","year":2019,"url":"http://doi.org/10.1099/ijsem.0.003276","authors":"Wu L,Ma J","journal":"Int J Syst Evol Microbiol","doi":"10.1099/ijsem.0.003276","created_at":"2021-09-30T08:27:50.048Z","updated_at":"2021-09-30T08:27:50.048Z"},{"id":3891,"pubmed_id":null,"title":"gcType: a high-quality type strain genome database for microbial phylogenetic and functional research","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa957","authors":"Shi, Wenyu; Sun, Qinglan; Fan, Guomei; Hideaki, Sugawara; Moriya, Ohkuma; Itoh, Takashi; Zhou, Yuguang; Cai, Man; Kim, Song-Gun; Lee, Jung-Sook; Sedlacek, Ivo; Arahal, David R; Lucena, Teresa; Kawasaki, Hiroko; Evtushenko, Lyudmila; Weir, Bevan S; Alexander, Sarah; Dénes, Dlauchy; Tanasupawat, Somboon; Eurwilaichitr, Lily; Ingsriswang, Supawadee; Gomez-Gil, Bruno; Hazbón, Manzour H; Riojas, Marco A; Suwannachart, Chatrudee; Yao, Su; Vandamme, Peter; Peng, Fang; Chen, Zenghui; Liu, Dongmei; Sun, Xiuqiang; Zhang, Xinjiao; Zhou, Yuanchun; Meng, Zhen; Wu, Linhuan; Ma, Juncai; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa957","created_at":"2023-06-06T08:46:49.798Z","updated_at":"2023-06-06T08:46:49.798Z"}],"licence_links":[{"licence_name":"GCM Data Usage Policy","licence_id":947,"licence_url":"https://gcm.wdcm.org/datausagepolicy","link_id":2737,"relation":"applies_to_content"}],"grants":[{"id":3792,"fairsharing_record_id":2939,"organisation_id":3244,"relation":"maintains","created_at":"2021-09-30T09:26:26.586Z","updated_at":"2021-09-30T09:26:26.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":3244,"name":"Word Data Center for Microorganisms, Information Network Center, Institute of Microbiology, Chinese Academy of Sciences","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3791,"fairsharing_record_id":2939,"organisation_id":2738,"relation":"funds","created_at":"2021-09-30T09:26:26.562Z","updated_at":"2021-09-30T09:32:49.538Z","grant_id":1793,"is_lead":false,"saved_state":{"id":2738,"name":"The 13th Five-year Informatization Plan of Chinese Academy of Sciences","grant":"XXH13505","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8476,"fairsharing_record_id":2939,"organisation_id":2738,"relation":"funds","created_at":"2021-09-30T09:32:49.728Z","updated_at":"2021-09-30T09:32:49.771Z","grant_id":1795,"is_lead":false,"saved_state":{"id":2738,"name":"The 13th Five-year Informatization Plan of Chinese Academy of Sciences","grant":"XXH13506","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9169,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T12:07:19.127Z","updated_at":"2022-04-11T12:07:19.142Z","grant_id":1695,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KFZD-SW-219","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9171,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T12:07:19.276Z","updated_at":"2022-04-11T12:07:19.291Z","grant_id":1274,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA19050301","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9199,"fairsharing_record_id":2939,"organisation_id":2053,"relation":"funds","created_at":"2022-04-11T12:07:21.437Z","updated_at":"2022-04-11T12:07:21.450Z","grant_id":1536,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"31701157","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9273,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:26.986Z","updated_at":"2022-04-11T12:07:27.001Z","grant_id":614,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2017YFD0400302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9274,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.061Z","updated_at":"2022-04-11T12:07:27.073Z","grant_id":1607,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2017YFC1201202","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9276,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.197Z","updated_at":"2022-04-11T12:07:27.205Z","grant_id":100,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2016YFC1200801","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9278,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.290Z","updated_at":"2022-04-11T12:07:27.299Z","grant_id":274,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2016YFC0901702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11843,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2024-06-26T12:25:49.691Z","updated_at":"2024-06-26T12:25:49.691Z","grant_id":978,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"153211KYSB20160029","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9279,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.360Z","updated_at":"2022-04-11T12:07:27.374Z","grant_id":953,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2016YFC1201303","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11844,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2024-06-26T12:25:49.749Z","updated_at":"2024-06-26T12:25:49.749Z","grant_id":1699,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"153211KYSB20150010","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2940","type":"fairsharing_records","attributes":{"created_at":"2020-04-13T13:10:18.000Z","updated_at":"2023-12-15T10:32:04.018Z","metadata":{"name":"European Data Portal","status":"ready","homepage":"https://www.europeandataportal.eu/en","identifier":2940,"description":"The European Data Portal harvests the metadata of Public Sector Information available on public data portals across European countries. Information regarding the provision of data and the benefits of re-using data is also included.","abbreviation":"EDP","data_curation":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/images/media/image3.jpeg","type":"manual/automated"},"support_links":[{"url":"https://www.linkedin.com/groups/8428984/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.facebook.com/EuropeanDataPortal","name":"Facebook","type":"Facebook"},{"url":"https://www.europeandataportal.eu/en/feedback/form","type":"Contact form"},{"url":"https://www.europeandataportal.eu/en/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.europeandataportal.eu/en/newsletter","name":"Newsletter","type":"Mailing list"},{"url":"https://www.youtube.com/channel/UCWRxmFRYBSQyUe6GFOOrxFA","name":"Webinar","type":"Video"},{"url":"https://www.europeandataportal.eu/en/about/documentation","type":"Help documentation"},{"url":"https://twitter.com/EU_DataPortal","type":"Twitter"}],"year_creation":2014,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012199","name":"re3data:r3d100012199","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/data-provider-interface/","type":"controlled","notes":"Data can be deposited by data providers of data originating from various EU bodies and technical staff involved in the maintenance and development of data.europa.eu."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001444","bsg-d001444"],"name":"FAIRsharing record for: European Data Portal","abbreviation":"EDP","url":"https://fairsharing.org/fairsharing_records/2940","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Data Portal harvests the metadata of Public Sector Information available on public data portals across European countries. Information regarding the provision of data and the benefits of re-using data is also included.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12355},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12902}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economic and Social History","Health Science","Humanities and Social Science","Virology","Subject Agnostic","Epidemiology"],"domains":[],"taxonomies":[],"user_defined_tags":["COVID-19"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":3794,"fairsharing_record_id":2940,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:26.659Z","updated_at":"2021-09-30T09:26:26.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3793,"fairsharing_record_id":2940,"organisation_id":2381,"relation":"maintains","created_at":"2021-09-30T09:26:26.622Z","updated_at":"2021-09-30T09:26:26.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":2381,"name":"Publications Office of the European Union","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2941","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T09:02:15.000Z","updated_at":"2024-05-09T09:28:43.738Z","metadata":{"doi":"10.25504/FAIRsharing.355cdf","name":"Facebook Data for Good","status":"ready","contacts":[{"contact_email":"press@fb.com"}],"homepage":"https://dataforgood.fb.com/","citations":[],"identifier":2941,"description":"Through our Data for Good partnerships, Facebook works with many of the world's leading humanitarian organizations to help them act more quickly and reach more people during natural disasters and disease outbreaks data for disaster response, health, connectivity, energy access, and economic growth.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2017,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013305","name":"re3data:r3d100013305","portal":"re3data"}],"data_access_condition":{"type":"controlled","notes":"Some data require an access request"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001445","bsg-d001445"],"name":"FAIRsharing record for: Facebook Data for Good","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.355cdf","doi":"10.25504/FAIRsharing.355cdf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Through our Data for Good partnerships, Facebook works with many of the world's leading humanitarian organizations to help them act more quickly and reach more people during natural disasters and disease outbreaks data for disaster response, health, connectivity, energy access, and economic growth.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12356},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12903}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Demographics","Social Science","Virology","Epidemiology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19","Dashboard"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3796,"fairsharing_record_id":2941,"organisation_id":1278,"relation":"maintains","created_at":"2021-09-30T09:26:26.739Z","updated_at":"2021-09-30T09:26:26.739Z","grant_id":null,"is_lead":false,"saved_state":{"id":1278,"name":"Humanitarian OpenStreetMap Team (HOT)","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3799,"fairsharing_record_id":2941,"organisation_id":1471,"relation":"maintains","created_at":"2021-09-30T09:26:26.820Z","updated_at":"2021-09-30T09:26:26.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":1471,"name":"Internal Displacement Monitoring Centre (IDMC)","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3802,"fairsharing_record_id":2941,"organisation_id":2131,"relation":"maintains","created_at":"2021-09-30T09:26:26.896Z","updated_at":"2021-09-30T09:26:26.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":2131,"name":"NetHope, Fairfax, VA, United States","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3795,"fairsharing_record_id":2941,"organisation_id":980,"relation":"maintains","created_at":"2021-09-30T09:26:26.702Z","updated_at":"2021-09-30T09:26:26.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":980,"name":"Facebook, Menlo Park, California, United State","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":3798,"fairsharing_record_id":2941,"organisation_id":493,"relation":"maintains","created_at":"2021-09-30T09:26:26.795Z","updated_at":"2021-09-30T09:26:26.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":493,"name":"Chapman University, Orange, CA, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3800,"fairsharing_record_id":2941,"organisation_id":1215,"relation":"maintains","created_at":"2021-09-30T09:26:26.845Z","updated_at":"2021-09-30T09:26:26.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":1215,"name":"Harvard T.H. Chan School of Public Health, Boston, MA, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3801,"fairsharing_record_id":2941,"organisation_id":765,"relation":"maintains","created_at":"2021-09-30T09:26:26.869Z","updated_at":"2021-09-30T09:26:26.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":765,"name":"Direct Relief, Santa Barbara, CA, United States","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3803,"fairsharing_record_id":2941,"organisation_id":1932,"relation":"maintains","created_at":"2021-09-30T09:26:26.920Z","updated_at":"2021-09-30T09:26:26.920Z","grant_id":null,"is_lead":false,"saved_state":{"id":1932,"name":"NAPSG Foundation, Washington, DC, United States","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2943","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T12:25:19.000Z","updated_at":"2023-03-15T07:59:33.544Z","metadata":{"doi":"10.25504/FAIRsharing.mKrBDb","name":"Rice Seed Nuclear Protein Database","status":"deprecated","contacts":[{"contact_name":"Akhilesh K Tyagi","contact_email":"akhilesh@genomeindia.org","contact_orcid":"0000-0001-9096-0711"}],"homepage":"http://pmb.du.ac.in/rsnpdb","citations":[],"identifier":2943,"description":"RSNP-DB is a database is a compilation of nuclear localization prediction confidence of the seed-expressed proteins in rice.","abbreviation":"RSNP-DB","data_curation":{"type":"not found"},"year_creation":2020,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001447","bsg-d001447"],"name":"FAIRsharing record for: Rice Seed Nuclear Protein Database","abbreviation":"RSNP-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.mKrBDb","doi":"10.25504/FAIRsharing.mKrBDb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RSNP-DB is a database is a compilation of nuclear localization prediction confidence of the seed-expressed proteins in rice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Protein localization","Cellular localization"],"taxonomies":["Oryza sativa"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":3806,"fairsharing_record_id":2943,"organisation_id":3048,"relation":"maintains","created_at":"2021-09-30T09:26:27.035Z","updated_at":"2021-09-30T09:26:27.035Z","grant_id":null,"is_lead":true,"saved_state":{"id":3048,"name":"University of Delhi, India","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2947","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T15:55:21.000Z","updated_at":"2024-04-29T10:52:15.698Z","metadata":{"doi":"10.25504/FAIRsharing.d7b57d","name":"data.europa.eu","status":"ready","contacts":[{"contact_name":"data.europa.eu Team","contact_email":"OP-DATA-EUROPA-EU@publications.europa.eu","contact_orcid":null}],"homepage":"https://data.europa.eu/en","citations":[],"identifier":2947,"description":"data.europa.eu (DEU), the official portal for European data, gives you access to open data published by EU institutions and bodies. All the data you can find via this catalogue are free to use and reuse for commercial or non-commercial purposes.","abbreviation":"DEU","data_curation":{"type":"none"},"support_links":[{"url":"https://twitter.com/ECDC_EU","type":"Twitter"},{"url":"https://data.europa.eu/en/contact-us","name":"General Contact","type":"Contact form"},{"url":"https://data.europa.eu/catalogue-statistics/CurrentState?locale=en","name":"Statistics","type":"Other"},{"url":"https://dataeuropa.gitlab.io/data-provider-manual/","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://data.europa.eu/euodp/en/apps","name":"List of applications developed by the European Institutions, agencies and other bodies (identified by the EU flag) as well as third parties"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011728","name":"re3data:r3d100011728","portal":"re3data"}],"data_access_condition":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/#better-access-enhanced-transparency-and-use","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/","type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001451","bsg-d001451"],"name":"FAIRsharing record for: data.europa.eu","abbreviation":"DEU","url":"https://fairsharing.org/10.25504/FAIRsharing.d7b57d","doi":"10.25504/FAIRsharing.d7b57d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: data.europa.eu (DEU), the official portal for European data, gives you access to open data published by EU institutions and bodies. All the data you can find via this catalogue are free to use and reuse for commercial or non-commercial purposes.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12358},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12908}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3190,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3189,"relation":"applies_to_content"}],"grants":[{"id":3814,"fairsharing_record_id":2947,"organisation_id":915,"relation":"maintains","created_at":"2021-09-30T09:26:27.363Z","updated_at":"2021-09-30T09:26:27.363Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2949","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T08:37:18.000Z","updated_at":"2023-12-15T10:28:44.301Z","metadata":{"doi":"10.25504/FAIRsharing.pFZBRP","name":"EMODnet Bathymetry","status":"ready","contacts":[],"homepage":"https://www.emodnet-bathymetry.eu/","citations":[],"identifier":2949,"description":"EMODnet Bathymetry provides a service for viewing and downloading a harmonised Digital Terrain Model (DTM) for the European sea regions that is generated by the EMODnet Bathymetry partnership on the basis of an increasing number of bathymetric data sets. These are managed as survey data sets and composite DTMs by data providers from government and research. Services for discovery and requesting access to these data sets are provided as well.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.emodnet-bathymetry.eu/news","name":"News","type":"Blog/News"},{"url":"https://www.emodnet-bathymetry.eu/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://www.emodnet-bathymetry.eu/helpdesk","name":"Helpdesk","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/metadata-data","name":"Metadata \u0026 Data","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/data-products","name":"Data Products","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/approach","name":"Approach","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/promotion","name":"Promotional Material","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/partners","name":"Bathymetry Partners","type":"Help documentation"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"url":"https://emodnet.ec.europa.eu/en/faq-about-downloading-emodnet-data#datacatalogue","type":"open","notes":"It is freely accessible, interoperable and reliable"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.emodnet-bathymetry.eu/data-products/how-can-i-contribute","type":"open","notes":"Share your data and contribute"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001453","bsg-d001453"],"name":"FAIRsharing record for: EMODnet Bathymetry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pFZBRP","doi":"10.25504/FAIRsharing.pFZBRP","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EMODnet Bathymetry provides a service for viewing and downloading a harmonised Digital Terrain Model (DTM) for the European sea regions that is generated by the EMODnet Bathymetry partnership on the basis of an increasing number of bathymetric data sets. These are managed as survey data sets and composite DTMs by data providers from government and research. Services for discovery and requesting access to these data sets are provided as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Geography","Earth Science","Oceanography","Physical Geography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["European Union"],"publications":[{"id":2616,"pubmed_id":null,"title":"EMODnet Bathymetry Consortium (2018): EMODnet Digital Bathymetry (DTM)","year":2018,"url":"http://doi.org/10.12770/18ff0d48-b203-4a65-94a9-5fd8b0ec35f6","authors":"EMODnet Bathymetry Consortium","journal":"EMODnet Bathymetry Consortium","doi":"10.12770/18ff0d48-b203-4a65-94a9-5fd8b0ec35f6","created_at":"2021-09-30T08:27:21.146Z","updated_at":"2021-09-30T08:27:21.146Z"},{"id":2859,"pubmed_id":null,"title":"EMODnet Bathymetry Consortium (2016): EMODnet Digital Bathymetry (DTM).","year":2016,"url":"http://doi.org/10.12770/c7b53704-999d-4721-b1a3-04ec60c87238","authors":"EMODnet Bathymetry Consortium","journal":"EMODnet Bathymetry Consortium","doi":"10.12770/c7b53704-999d-4721-b1a3-04ec60c87238","created_at":"2021-09-30T08:27:51.731Z","updated_at":"2021-09-30T08:27:51.731Z"}],"licence_links":[{"licence_name":"SeaDataNet Data Policy","licence_id":742,"licence_url":"https://www.emodnet-bathymetry.eu/metadata-amp-data/user-registration","link_id":683,"relation":"undefined"}],"grants":[{"id":3819,"fairsharing_record_id":2949,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:27.496Z","updated_at":"2021-09-30T09:26:27.496Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3818,"fairsharing_record_id":2949,"organisation_id":1757,"relation":"maintains","created_at":"2021-09-30T09:26:27.470Z","updated_at":"2021-09-30T09:26:27.470Z","grant_id":null,"is_lead":true,"saved_state":{"id":1757,"name":"Marine and Ocean Data Management (MARIS), Voorburg, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":3820,"fairsharing_record_id":2949,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:27.520Z","updated_at":"2021-09-30T09:26:27.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2950","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T08:59:24.000Z","updated_at":"2023-12-15T10:32:27.904Z","metadata":{"doi":"10.25504/FAIRsharing.7ceb60","name":"European Centre for Disease Prevention and Control","status":"ready","contacts":[{"contact_name":"Andrea Ammon","contact_email":"Andrea.Ammon@ecdc.eu.int"}],"homepage":"https://www.ecdc.europa.eu/en","citations":[],"identifier":2950,"description":"ECDC's main role as an agency of the European Union is to strengthen Europe’s defences against communicable diseases, worked together with all EU/EEA countries in response to public health threats and emerging diseases. Part of the ECDC mission is to provide search for, collect, collate, evaluate and disseminate relevant scientific and technical data.","abbreviation":"ECDC","data_curation":{"type":"none"},"support_links":[{"url":"https://www.linkedin.com/company/ecdc/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.ecdc.europa.eu/en/news-events","name":"News \u0026 events","type":"Blog/News"},{"url":"https://www.facebook.com/ECDC.EU","name":"Facebook","type":"Facebook"},{"url":"info@ecdc.europa.eu","name":"General enquiries","type":"Support email"},{"url":"https://www.youtube.com/user/ECDCchannel","name":"Youtube","type":"Video"},{"url":"https://vimeo.com/ecdcvideos","name":"Vimeo","type":"Help documentation"},{"url":"https://www.slideshare.net/ecdc_eu","name":"Slideshare","type":"Help documentation"},{"url":"https://eva.ecdc.europa.eu/","name":"ECDC Virtual Academy (EVA), an online training platform","type":"Training documentation"},{"url":"https://twitter.com/ECDC_EU","type":"Twitter"}],"year_creation":2016,"data_versioning":"not found","associated_tools":[{"url":"http://atlas.ecdc.europa.eu/public/index.aspx","name":"Surveillance Atlas for infectious diseases"},{"url":"https://www.ecdc.europa.eu/en/publications-data/west-nile-virus-risk-assessment-tool-0","name":"West Nile virus risk assessment tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013304","name":"re3data:r3d100013304","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001454","bsg-d001454"],"name":"FAIRsharing record for: European Centre for Disease Prevention and Control","abbreviation":"ECDC","url":"https://fairsharing.org/10.25504/FAIRsharing.7ceb60","doi":"10.25504/FAIRsharing.7ceb60","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ECDC's main role as an agency of the European Union is to strengthen Europe’s defences against communicable diseases, worked together with all EU/EEA countries in response to public health threats and emerging diseases. Part of the ECDC mission is to provide search for, collect, collate, evaluate and disseminate relevant scientific and technical data.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12359},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12909}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Humanities and Social Science","Virology","Epidemiology"],"domains":["Disease"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"European Centre for Disease Prevention and Control Legal Notice","licence_id":300,"licence_url":"https://www.ecdc.europa.eu/en/legal-notice","link_id":674,"relation":"undefined"}],"grants":[{"id":3821,"fairsharing_record_id":2950,"organisation_id":960,"relation":"maintains","created_at":"2021-09-30T09:26:27.546Z","updated_at":"2021-09-30T09:26:27.546Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2951","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T13:30:38.000Z","updated_at":"2023-12-15T10:31:02.374Z","metadata":{"doi":"10.25504/FAIRsharing.Ry4stC","name":"EMODnet Geology","status":"ready","contacts":[{"contact_name":"Henry Vallius, Geological Survey of Finland","contact_email":"henry.vallius@gtk.fi"}],"homepage":"https://www.emodnet-geology.eu/","citations":[],"identifier":2951,"description":"The EMODnet geology portal provides free access to (i) geological data and metadata held by various geoscience organisations in Europe, delivered in accordance with international standards, and (ii) geological data products compiled at scales of 1:1,000,000, 1:250,000 and 1:100,000 or finer where the underlying data permit.","abbreviation":"EMODnet Geology","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.emodnet-geology.eu/support-feedback/","name":"Support \u0026 feedback","type":"Contact form"},{"url":"https://www.emodnet-geology.eu/about-emodnet-geology/","name":"About","type":"Help documentation"},{"url":"https://www.emodnet-geology.eu/data-products/","name":"Data Products","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://emodnet.ec.europa.eu/en/contribute-data-emodnet","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001455","bsg-d001455"],"name":"FAIRsharing record for: EMODnet Geology","abbreviation":"EMODnet Geology","url":"https://fairsharing.org/10.25504/FAIRsharing.Ry4stC","doi":"10.25504/FAIRsharing.Ry4stC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EMODnet geology portal provides free access to (i) geological data and metadata held by various geoscience organisations in Europe, delivered in accordance with international standards, and (ii) geological data products compiled at scales of 1:1,000,000, 1:250,000 and 1:100,000 or finer where the underlying data permit.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Geography","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Geological mapping"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"EMODnet Geology Terms of Use","licence_id":275,"licence_url":"https://www.emodnet-geology.eu/terms-of-use/","link_id":1051,"relation":"undefined"}],"grants":[{"id":3824,"fairsharing_record_id":2951,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:27.620Z","updated_at":"2021-09-30T09:26:27.620Z","grant_id":null,"is_lead":false,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3822,"fairsharing_record_id":2951,"organisation_id":1122,"relation":"maintains","created_at":"2021-09-30T09:26:27.570Z","updated_at":"2021-09-30T09:26:27.570Z","grant_id":null,"is_lead":true,"saved_state":{"id":1122,"name":"Geological Survey of Finland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3823,"fairsharing_record_id":2951,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:27.596Z","updated_at":"2021-09-30T09:26:27.596Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2952","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T13:51:23.000Z","updated_at":"2023-12-15T10:30:20.134Z","metadata":{"doi":"10.25504/FAIRsharing.XrXzcm","name":"EMODnet Physics","status":"ready","contacts":[],"homepage":"https://www.emodnet-physics.eu/Portal/","citations":[],"identifier":2952,"description":"EMODnet-Physics map portal (www.emodnet-physics.eu/map) provides a single point of access to validated in situ datasets, products and their physical parameter metadata of European Seas and global oceans.","abbreviation":"EMODnet Physics","data_curation":{"type":"not found"},"support_links":[{"url":"contacts@emodnet-physics.eu","name":"Helpdesk","type":"Support email"},{"url":"https://www.emodnet-physics.eu/portal/user-s-guide","name":"User Guide","type":"Help documentation"},{"url":"https://www.emodnet-physics.eu/portal/background","name":"About","type":"Help documentation"},{"url":"https://github.com/EMODnet-Physics/EMODnet-Physics-Documentation","name":"Github Repository","type":"Github"},{"url":"https://www.emodnet-physics.eu/portal/Videos-Physics","name":"Videos","type":"Help documentation"},{"url":"https://www.emodnet-physics.eu/portal/documents-and-services","name":"Documents and Services","type":"Help documentation"},{"url":"https://www.emodnet-physics.eu/portal/bibliography","name":"QA/QC Protocols","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://geoserver.emodnet-physics.eu/geoserver/web/","name":"GeoServer 2.16.2"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://emodnet.ec.europa.eu/en/contribute-data-emodnet","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001456","bsg-d001456"],"name":"FAIRsharing record for: EMODnet Physics","abbreviation":"EMODnet Physics","url":"https://fairsharing.org/10.25504/FAIRsharing.XrXzcm","doi":"10.25504/FAIRsharing.XrXzcm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EMODnet-Physics map portal (www.emodnet-physics.eu/map) provides a single point of access to validated in situ datasets, products and their physical parameter metadata of European Seas and global oceans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geophysics","Oceanography","Physical Geography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["European Union"],"publications":[{"id":2873,"pubmed_id":null,"title":"European Marine Observation and DataNetwork (EMODNET)– physical parameters: A support to marine science and operational oceanography","year":2013,"url":"https://ui.adsabs.harvard.edu/abs/2013EGUGA..15.3126D/abstract","authors":"Hans Dahlin, Tobias Gies, Marco Giordano, Patrick Gorringe, Giuseppe Manzella, Gilbert Maudire, Antonio Novellino, Maureen Pagnani, Sian Petersson, Sylvie Pouliquen, Lesley Rickards, Dick Schaap, Peter Tijsse, and Serge van der Horste","journal":"EGU General Assembly 2013","doi":null,"created_at":"2021-09-30T08:27:53.687Z","updated_at":"2021-09-30T11:28:38.928Z"},{"id":2874,"pubmed_id":null,"title":"Knowledge base for growth and innovation in ocean economy: assembly and dissemination of marine data for seabed mapping – European Marine Observation Data Network - EMODnet Physics","year":2014,"url":"https://webgate.ec.europa.eu/maritimeforum/system/files/6.%20Physics.pdf","authors":"Antonio Novellino, Patrick Gorringe, Dick Schaap, Sylvie Pouliquen, Lesley Rickards, and Giuseppe Manzella","journal":"EGU General Assembly 2013","doi":null,"created_at":"2021-09-30T08:27:53.795Z","updated_at":"2021-09-30T11:28:38.617Z"}],"licence_links":[{"licence_name":"EMODnet Physics Terms of Use","licence_id":276,"licence_url":"https://www.emodnet-physics.eu/portal/Helpdesk/How-to-acknowledge","link_id":267,"relation":"undefined"}],"grants":[{"id":3825,"fairsharing_record_id":2952,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:27.646Z","updated_at":"2021-09-30T09:26:27.646Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3826,"fairsharing_record_id":2952,"organisation_id":884,"relation":"maintains","created_at":"2021-09-30T09:26:27.670Z","updated_at":"2021-09-30T09:26:27.670Z","grant_id":null,"is_lead":true,"saved_state":{"id":884,"name":"ETT Solutions","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3827,"fairsharing_record_id":2952,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:27.696Z","updated_at":"2021-09-30T09:26:27.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2956","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T13:28:34.000Z","updated_at":"2023-12-15T10:32:23.641Z","metadata":{"doi":"10.25504/FAIRsharing.37b795","name":"COVID-19 Drug Interactions","status":"ready","contacts":[{"contact_name":"David MacEwan","contact_email":"D.Macewan@liverpool.ac.uk","contact_orcid":"0000-0002-2879-0935"}],"homepage":"https://www.covid19-druginteractions.org/","identifier":2956,"description":"The Liverpool Drug Interaction Group (based at the University of Liverpool, UK), in collaboration with the University Hospital of Basel (Switzerland) and Radboud UMC (Netherlands), have produced various materials in PDF format to aid the use of experimental agents in the treatment of COVID-19.","abbreviation":null,"data_curation":{"url":"https://www.covid19-druginteractions.org/about","type":"manual"},"year_creation":2020,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013299","name":"re3data:r3d100013299","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001460","bsg-d001460"],"name":"FAIRsharing record for: COVID-19 Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.37b795","doi":"10.25504/FAIRsharing.37b795","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Liverpool Drug Interaction Group (based at the University of Liverpool, UK), in collaboration with the University Hospital of Basel (Switzerland) and Radboud UMC (Netherlands), have produced various materials in PDF format to aid the use of experimental agents in the treatment of COVID-19.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12360},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12911}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Virology","Biomedical Science","Epidemiology"],"domains":["Drug interaction"],"taxonomies":["Coronaviridae","Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"HIV Drug Interactions Terms and Conditions","licence_id":394,"licence_url":"https://www.hiv-druginteractions.org/terms","link_id":66,"relation":"undefined"},{"licence_name":"HIV Privacy Notice","licence_id":396,"licence_url":"https://www.hiv-druginteractions.org/privacy","link_id":65,"relation":"undefined"}],"grants":[{"id":3847,"fairsharing_record_id":2956,"organisation_id":14,"relation":"funds","created_at":"2021-09-30T09:26:28.204Z","updated_at":"2021-09-30T09:26:28.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":14,"name":"Abbvie, North Chicago, Illinois, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3850,"fairsharing_record_id":2956,"organisation_id":476,"relation":"funds","created_at":"2021-09-30T09:26:28.343Z","updated_at":"2021-09-30T09:26:28.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":476,"name":"Centre of Excellence in Infectious Diseases Research (CEIDR)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3853,"fairsharing_record_id":2956,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:28.448Z","updated_at":"2021-09-30T09:26:28.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3856,"fairsharing_record_id":2956,"organisation_id":2194,"relation":"funds","created_at":"2021-09-30T09:26:28.574Z","updated_at":"2021-09-30T09:26:28.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":2194,"name":"Novartis","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3859,"fairsharing_record_id":2956,"organisation_id":2583,"relation":"funds","created_at":"2021-09-30T09:26:28.672Z","updated_at":"2021-09-30T09:26:28.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":2583,"name":"Sobi, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3848,"fairsharing_record_id":2956,"organisation_id":317,"relation":"funds","created_at":"2021-09-30T09:26:28.230Z","updated_at":"2021-09-30T09:26:28.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":317,"name":"British HIV Association (BHIVA), Hertfordshire, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3849,"fairsharing_record_id":2956,"organisation_id":906,"relation":"funds","created_at":"2021-09-30T09:26:28.297Z","updated_at":"2021-09-30T09:26:28.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":906,"name":"European AIDS Clinical Society (EACS), Brussels, Belgium","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3851,"fairsharing_record_id":2956,"organisation_id":2399,"relation":"funds","created_at":"2021-09-30T09:26:28.382Z","updated_at":"2021-09-30T09:26:28.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":2399,"name":"Radboud University Medical Center, Nijmegen, The Netherlands","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3852,"fairsharing_record_id":2956,"organisation_id":2902,"relation":"funds","created_at":"2021-09-30T09:26:28.414Z","updated_at":"2021-09-30T09:26:28.414Z","grant_id":null,"is_lead":false,"saved_state":{"id":2902,"name":"UK Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3854,"fairsharing_record_id":2956,"organisation_id":1907,"relation":"funds","created_at":"2021-09-30T09:26:28.486Z","updated_at":"2021-09-30T09:26:28.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":1907,"name":"MSD, Hoddesdon, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3855,"fairsharing_record_id":2956,"organisation_id":1199,"relation":"funds","created_at":"2021-09-30T09:26:28.536Z","updated_at":"2021-09-30T09:26:28.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":1199,"name":"Graphics and Vision Research Group, University of Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":3857,"fairsharing_record_id":2956,"organisation_id":2003,"relation":"maintains","created_at":"2021-09-30T09:26:28.606Z","updated_at":"2021-09-30T09:26:28.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9098,"fairsharing_record_id":2956,"organisation_id":1420,"relation":"maintains","created_at":"2022-04-07T14:04:52.076Z","updated_at":"2022-04-07T14:04:52.076Z","grant_id":null,"is_lead":false,"saved_state":{"id":1420,"name":"Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2957","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T20:47:17.000Z","updated_at":"2023-12-15T10:29:11.326Z","metadata":{"doi":"10.25504/FAIRsharing.41b0ad","name":"Atlas of Cancer Signalling Network","status":"ready","contacts":[{"contact_email":"acsn@curie.fr"}],"homepage":"https://acsn.curie.fr/ACSN2/ACSN2.html","citations":[{"doi":"10.1038/oncsis.2015.19","pubmed_id":26192618,"publication_id":2891}],"identifier":2957,"description":"ACSN is a web-based multi-scale resource of biological maps depicting molecular processes in cancer cell and tumor microenvironment. The Atlas represents interconnected cancer-related signalling and metabolic network maps. Molecular mechanisms are depicted on the maps at the level of biochemical interactions, forming a large seamless network. The Atlas is a \"geographic-like\" interactive \"world map\" of molecular interactions leading the hallmarks of cancer as described by Hanahan and Weinberg.","abbreviation":"ACSN","data_curation":{"url":"https://acsn.curie.fr/ACSN2/features.html","type":"manual","notes":"The maps are manually created based on the information extracted from scientific literature"},"support_links":[{"url":"https://acsn.curie.fr/ACSN2/FAQ.html","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://acsn.curie.fr/ACSN2/guides.html","name":"Online Guides","type":"Help documentation"},{"url":"https://twitter.com/acsn_curie","name":"@acsn_curie","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","associated_tools":[{"url":"https://navicell.curie.fr/","name":"NaviCell"},{"url":"https://navicom.curie.fr/bridge.php","name":"NaviCom"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001461","bsg-d001461"],"name":"FAIRsharing record for: Atlas of Cancer Signalling Network","abbreviation":"ACSN","url":"https://fairsharing.org/10.25504/FAIRsharing.41b0ad","doi":"10.25504/FAIRsharing.41b0ad","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ACSN is a web-based multi-scale resource of biological maps depicting molecular processes in cancer cell and tumor microenvironment. The Atlas represents interconnected cancer-related signalling and metabolic network maps. Molecular mechanisms are depicted on the maps at the level of biochemical interactions, forming a large seamless network. The Atlas is a \"geographic-like\" interactive \"world map\" of molecular interactions leading the hallmarks of cancer as described by Hanahan and Weinberg.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12264}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Medicine","Medicines Research and Development","Cell Biology","Biomedical Science"],"domains":["Cancer","Cellular assay","Cell morphology","Cell cycle","Signaling","Tumor"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2891,"pubmed_id":26192618,"title":"Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps.","year":2015,"url":"http://doi.org/10.1038/oncsis.2015.19","authors":"Kuperstein I,Bonnet E,Nguyen HA,Cohen D,Viara E,Grieco L,Fourquet S,Calzone L,Russo C,Kondratova M,Dutreix M,Barillot E,Zinovyev A","journal":"Oncogenesis","doi":"10.1038/oncsis.2015.19","created_at":"2021-09-30T08:27:55.982Z","updated_at":"2021-09-30T08:27:55.982Z"}],"licence_links":[],"grants":[{"id":3861,"fairsharing_record_id":2957,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:26:28.740Z","updated_at":"2021-09-30T09:26:28.740Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3860,"fairsharing_record_id":2957,"organisation_id":1363,"relation":"maintains","created_at":"2021-09-30T09:26:28.709Z","updated_at":"2021-09-30T09:26:28.709Z","grant_id":null,"is_lead":false,"saved_state":{"id":1363,"name":"Institut Curie, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2958","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T07:59:50.000Z","updated_at":"2023-06-23T10:54:48.292Z","metadata":{"doi":"10.25504/FAIRsharing.8c937c","name":"HIV Drug Interactions","status":"ready","contacts":[{"contact_name":"David Back","contact_email":"D.J.Back@liverpool.ac.uk","contact_orcid":"0000-0002-7381-4799"}],"homepage":"https://www.hiv-druginteractions.org/","identifier":2958,"description":"Around 37 million individuals are living worldwide with HIV and although advances in therapy have yielded effective regimens, individual antiretroviral drugs are amongst the most therapeutically risky for drug-drug interactions (DDI) presenting significant risks to patients and a challenge for health care providers to ensure safe and appropriate prescribing. In order to address this, the Liverpool Drug Interactions website was established in 1999 by members of the Department of Pharmacology at the University of Liverpool to provide a freely available drug-drug interaction resource.","abbreviation":null,"data_curation":{"url":"https://www.hiv-druginteractions.org/mission","type":"manual"},"support_links":[{"url":"https://www.hiv-druginteractions.org/site_updates","name":"News","type":"Blog/News"},{"url":"https://www.hiv-druginteractions.org/feedback","name":"Feedback","type":"Contact form"},{"url":"https://www.hiv-druginteractions.org/prescribing-resources","name":"Printable materials in PDF format to aid prescribing","type":"Help documentation"},{"url":"https://www.hiv-druginteractions.org/videos","name":"Series of mini-lectures on pharmacology and HIV","type":"Help documentation"},{"url":"https://twitter.com/hivinteractions","type":"Twitter"}],"year_creation":1999,"data_versioning":"no","associated_tools":[{"url":"https://apps.apple.com/gb/app/liverpool-hiv-ichart/id979962744","name":"Liverpool HIV iChart (AppStore)"},{"url":"https://play.google.com/store/apps/details?id=com.liverpooluni.icharthiv\u0026hl=en_GB","name":"Liverpool HIV iChart (Google Play)"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.hiv-druginteractions.org/suggestions","type":"controlled","notes":"Only data deposition suggestion is possible."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001462","bsg-d001462"],"name":"FAIRsharing record for: HIV Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8c937c","doi":"10.25504/FAIRsharing.8c937c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Around 37 million individuals are living worldwide with HIV and although advances in therapy have yielded effective regimens, individual antiretroviral drugs are amongst the most therapeutically risky for drug-drug interactions (DDI) presenting significant risks to patients and a challenge for health care providers to ensure safe and appropriate prescribing. In order to address this, the Liverpool Drug Interactions website was established in 1999 by members of the Department of Pharmacology at the University of Liverpool to provide a freely available drug-drug interaction resource.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12912}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Virology","Biomedical Science","Epidemiology"],"domains":["Drug interaction","Disease"],"taxonomies":["Homo sapiens","Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2896,"pubmed_id":27235838,"title":"HIV drug interaction resources from the University of Liverpool.","year":2016,"url":"http://doi.org/10.1016/j.tmaid.2016.05.013","authors":"Chiodini J","journal":"Travel Med Infect Dis","doi":"10.1016/j.tmaid.2016.05.013","created_at":"2021-09-30T08:27:56.583Z","updated_at":"2021-09-30T08:27:56.583Z"}],"licence_links":[{"licence_name":"HIV Drug Interactions Terms and Conditions","licence_id":394,"licence_url":"https://www.hiv-druginteractions.org/terms","link_id":930,"relation":"undefined"}],"grants":[{"id":3865,"fairsharing_record_id":2958,"organisation_id":1585,"relation":"funds","created_at":"2021-09-30T09:26:28.856Z","updated_at":"2021-09-30T09:26:28.856Z","grant_id":null,"is_lead":false,"saved_state":{"id":1585,"name":"Janssen EMEA, Beerse, Belgium","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3867,"fairsharing_record_id":2958,"organisation_id":1907,"relation":"funds","created_at":"2021-09-30T09:26:28.911Z","updated_at":"2021-09-30T09:26:28.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":1907,"name":"MSD, Hoddesdon, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3870,"fairsharing_record_id":2958,"organisation_id":1253,"relation":"funds","created_at":"2021-09-30T09:26:29.020Z","updated_at":"2021-09-30T09:26:29.020Z","grant_id":null,"is_lead":false,"saved_state":{"id":1253,"name":"HIV Glasgow, Glasgow, Scotland","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":3866,"fairsharing_record_id":2958,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:28.880Z","updated_at":"2021-09-30T09:26:28.880Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3868,"fairsharing_record_id":2958,"organisation_id":3185,"relation":"funds","created_at":"2021-09-30T09:26:28.949Z","updated_at":"2021-09-30T09:26:28.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":3185,"name":"ViiV Healthcare, Brentford, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3862,"fairsharing_record_id":2958,"organisation_id":317,"relation":"funds","created_at":"2021-09-30T09:26:28.768Z","updated_at":"2021-09-30T09:26:28.768Z","grant_id":null,"is_lead":false,"saved_state":{"id":317,"name":"British HIV Association (BHIVA), Hertfordshire, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3863,"fairsharing_record_id":2958,"organisation_id":906,"relation":"funds","created_at":"2021-09-30T09:26:28.798Z","updated_at":"2021-09-30T09:26:28.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":906,"name":"European AIDS Clinical Society (EACS), Brussels, Belgium","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3864,"fairsharing_record_id":2958,"organisation_id":1199,"relation":"funds","created_at":"2021-09-30T09:26:28.827Z","updated_at":"2021-09-30T09:26:28.827Z","grant_id":null,"is_lead":false,"saved_state":{"id":1199,"name":"Graphics and Vision Research Group, University of Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":3869,"fairsharing_record_id":2958,"organisation_id":1066,"relation":"funds","created_at":"2021-09-30T09:26:28.982Z","updated_at":"2021-09-30T09:26:28.982Z","grant_id":null,"is_lead":false,"saved_state":{"id":1066,"name":"Frontier Biotechnologies, Nanjing, China","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3871,"fairsharing_record_id":2958,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:26:29.058Z","updated_at":"2021-09-30T09:26:29.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2945","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T14:28:01.000Z","updated_at":"2023-06-23T15:46:11.665Z","metadata":{"doi":"10.25504/FAIRsharing.41737c","name":"Stanford HIV Drug Resistance Database","status":"ready","contacts":[{"contact_name":"Robert W. Shafer","contact_email":"rshafer@stanford.edu"}],"homepage":"https://hivdb.stanford.edu/","identifier":2945,"description":"The Stanford HIV Drug Resistance Database (HIVDB) is an essential resource for public health officials monitoring ADR and TDR, for scientists developing new ARV drugs, and for HIV care providers managing patients with HIVDR.","abbreviation":"HIVDB","data_curation":{"type":"automated","notes":"HIVDB is a curated public database."},"support_links":[{"url":"hivdbteam@stanford.edu","name":"General contact","type":"Support email"},{"url":"https://hivdb.stanford.edu/pages/FAQ/FAQ.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://hivdb.stanford.edu/cgi-bin/Summary.cgi","name":"Database statistics","type":"Help documentation"}],"year_creation":1998,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://hivdb.stanford.edu/pages/FAQ/FAQ.html","type":"controlled","notes":"Submission of data published in a peer-review journal and submitted to GenBank is recomended."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001449","bsg-d001449"],"name":"FAIRsharing record for: Stanford HIV Drug Resistance Database","abbreviation":"HIVDB","url":"https://fairsharing.org/10.25504/FAIRsharing.41737c","doi":"10.25504/FAIRsharing.41737c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Stanford HIV Drug Resistance Database (HIVDB) is an essential resource for public health officials monitoring ADR and TDR, for scientists developing new ARV drugs, and for HIV care providers managing patients with HIVDR.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12906}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Drug Development","Virology","Life Science","Epidemiology"],"domains":["Phenotype","Treatment"],"taxonomies":["Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2839,"pubmed_id":12520007,"title":"Human immunodeficiency virus reverse transcriptase and protease sequence database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg100","authors":"Rhee SY,Gonzales MJ,Kantor R,Betts BJ,Ravela J,Shafer RW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg100","created_at":"2021-09-30T08:27:49.252Z","updated_at":"2021-09-30T11:29:47.046Z"},{"id":2840,"pubmed_id":16921473,"title":"Rationale and uses of a public HIV drug-resistance database.","year":2006,"url":"http://doi.org/10.1086/505356","authors":"Shafer RW","journal":"J Infect Dis","doi":"10.1086/505356","created_at":"2021-09-30T08:27:49.372Z","updated_at":"2021-09-30T08:27:49.372Z"}],"licence_links":[{"licence_name":"HIV Drug Resistance Database Terms of Use","licence_id":395,"licence_url":"https://hivdb.stanford.edu/pages/FAQ/FAQ.html","link_id":919,"relation":"undefined"}],"grants":[{"id":3811,"fairsharing_record_id":2945,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:26:27.264Z","updated_at":"2021-09-30T09:26:27.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2946","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T15:52:00.000Z","updated_at":"2023-06-22T16:45:57.507Z","metadata":{"doi":"10.25504/FAIRsharing.mihb12","name":"Kinase-Ligand Interaction Fingerprints and Structures database","status":"ready","contacts":[{"contact_name":"Albert J. Kooistra","contact_email":"info@klifs.net","contact_orcid":"0000-0001-5514-6021"}],"homepage":"https://klifs.net","citations":[{"doi":"gkaa895","pubmed_id":33084889,"publication_id":3071}],"identifier":2946,"description":"Kinase-Ligand Interaction Fingerprints and Structures database (KLIFS) is a database that revolves around the protein structure of catalytic kinase domains and the way kinase inhibitors can interact with them. Based on the underlying systematic and consistent protocol all (currently human and mouse) kinase structures and the binding mode of kinase ligands can be directly compared to each other. Moreover, because of the classification of an all-encompassing binding site of 85 residues it is possible to compare the interaction patterns of kinase-inhibitors to each other to, for example, identify crucial interactions determining kinase-inhibitor selectivity.","abbreviation":"KLIFS","data_curation":{"url":"https://doi.org/10.1093/nar/gkaa895","type":"manual/automated"},"support_links":[{"url":"https://klifs.net/news.php","name":"News","type":"Blog/News"},{"url":"https://klifs.net/faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://klifs.net/stats.php","name":"Statistics","type":"Help documentation"},{"url":"https://klifs.net/tutorial.php","name":"Tutorial","type":"Training documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"https://www.knime.com/3d-e-chem-nodes-for-knime","name":"KLIFS nodes for KNIME 1.4.2"}],"data_access_condition":{"url":"https://klifs.net/faq.php","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001450","bsg-d001450"],"name":"FAIRsharing record for: Kinase-Ligand Interaction Fingerprints and Structures database","abbreviation":"KLIFS","url":"https://fairsharing.org/10.25504/FAIRsharing.mihb12","doi":"10.25504/FAIRsharing.mihb12","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Kinase-Ligand Interaction Fingerprints and Structures database (KLIFS) is a database that revolves around the protein structure of catalytic kinase domains and the way kinase inhibitors can interact with them. Based on the underlying systematic and consistent protocol all (currently human and mouse) kinase structures and the binding mode of kinase ligands can be directly compared to each other. Moreover, because of the classification of an all-encompassing binding site of 85 residues it is possible to compare the interaction patterns of kinase-inhibitors to each other to, for example, identify crucial interactions determining kinase-inhibitor selectivity.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12907}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cheminformatics","Pharmacology","Life Science","Pharmacogenomics"],"domains":["Protein structure","Structure alignment (pair)","Structure-based sequence alignment","Multiple sequence alignment","Protein interaction","Ligand","Bioactivity","Binding","Molecular interaction","Protein"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Chemogenomics","Interaction fingerprints","Interaction similarity","Kinases","Ligand similarity"],"countries":["Denmark","Netherlands"],"publications":[{"id":2855,"pubmed_id":26496949,"title":"KLIFS: a structural kinase-ligand interaction database.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1082","authors":"Kooistra AJ,Kanev GK,van Linden OP,Leurs R,de Esch IJ,de Graaf C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1082","created_at":"2021-09-30T08:27:51.188Z","updated_at":"2021-09-30T11:29:47.504Z"},{"id":2856,"pubmed_id":23941661,"title":"KLIFS: a knowledge-based structural database to navigate kinase-ligand interaction space.","year":2013,"url":"http://doi.org/10.1021/jm400378w","authors":"van Linden OP,Kooistra AJ,Leurs R,de Esch IJ,de Graaf C","journal":"J Med Chem","doi":"10.1021/jm400378w","created_at":"2021-09-30T08:27:51.297Z","updated_at":"2021-09-30T08:27:51.297Z"},{"id":2857,"pubmed_id":31677919,"title":"The Landscape of Atypical and Eukaryotic Protein Kinases.","year":2019,"url":"http://doi.org/S0165-6147(19)30213-5","authors":"Kanev GK,de Graaf C,de Esch IJP,Leurs R,Wurdinger T,Westerman BA,Kooistra AJ","journal":"Trends Pharmacol Sci","doi":"S0165-6147(19)30213-5","created_at":"2021-09-30T08:27:51.457Z","updated_at":"2021-09-30T08:27:51.457Z"},{"id":3071,"pubmed_id":33084889,"title":"KLIFS: an overhaul after the first 5 years of supporting kinase research.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa895","authors":"Kanev GK,de Graaf C,Westerman BA,de Esch IJP,Kooistra AJ","journal":"Nucleic Acids Research","doi":"gkaa895","created_at":"2021-09-30T08:28:18.431Z","updated_at":"2021-09-30T11:29:50.820Z"}],"licence_links":[],"grants":[{"id":3813,"fairsharing_record_id":2946,"organisation_id":702,"relation":"maintains","created_at":"2021-09-30T09:26:27.330Z","updated_at":"2021-09-30T09:26:27.330Z","grant_id":null,"is_lead":true,"saved_state":{"id":702,"name":"Department of Drug Design and Pharmacology, University of Copenhagen","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3812,"fairsharing_record_id":2946,"organisation_id":3197,"relation":"maintains","created_at":"2021-09-30T09:26:27.297Z","updated_at":"2021-09-30T09:26:27.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":3197,"name":"Vrije Universiteit Amsterdam, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2460","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T12:45:16.000Z","updated_at":"2023-12-15T10:30:48.609Z","metadata":{"doi":"10.25504/FAIRsharing.yd91ak","name":"Belgian BIF IPT - GBIF Belgium Repository","status":"ready","contacts":[{"contact_name":"André Heughebaert","contact_email":"a.heughebaert@biodiversity.be"}],"homepage":"http://ipt.biodiversity.be/","identifier":2460,"description":"The Belgium Biodiversity Platform maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). The Belgian Biodiversity Platform is a science-policy interface that offers a privileged access to primary biodiversity data and research information. The Platform encourages interdisciplinary cooperation among scientists and serves as an interface between researchers and science-policy organizations. It provides advice on the designation of biodiversity research priorities and promotes Belgian biodiversity research in international fora.","abbreviation":null,"data_curation":{"type":"manual"},"year_creation":2001,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000942","bsg-d000942"],"name":"FAIRsharing record for: Belgian BIF IPT - GBIF Belgium Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.yd91ak","doi":"10.25504/FAIRsharing.yd91ak","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). The Belgian Biodiversity Platform is a science-policy interface that offers a privileged access to primary biodiversity data and research information. The Platform encourages interdisciplinary cooperation among scientists and serves as an interface between researchers and science-policy organizations. It provides advice on the designation of biodiversity research priorities and promotes Belgian biodiversity research in international fora.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11647}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1096,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":387,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1032,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1256,"relation":"undefined"}],"grants":[{"id":2650,"fairsharing_record_id":2460,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:51.200Z","updated_at":"2021-09-30T09:25:51.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2651,"fairsharing_record_id":2460,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.224Z","updated_at":"2021-09-30T09:25:51.224Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2461","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T13:30:17.000Z","updated_at":"2023-12-15T10:30:21.824Z","metadata":{"doi":"10.25504/FAIRsharing.h2v2ye","name":"GBIF Mauritania IPT - GBIF Belgium","status":"ready","contacts":[{"contact_name":"Moulaye Mohamed Baba Ainina","contact_email":"ainina_3@hotmail.com"}],"homepage":"http://ipt-mrbif.bebif.be/","identifier":2461,"description":"The Belgium Biodiversity Platform hosts this data repository on behalf of GBIF Mauritania (MrBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). More specifically, MrBIF aims to promote, coordinate and facilitate data sharing and dissemination; undertake surveys of potential biodiversity data publishers and data users; promote publication and use of biodiversity data; formulate and implement policies on biodiversity conservation; train young scientists and decisions makers; and acquire IT materials, stable Internet access and reliable power supply.","abbreviation":"MrBIF IPT - GBIF Belgium","data_curation":{"type":"manual"},"support_links":[{"url":"a.heughebaert@biodiversity.be","name":"Andr Heughebaert","type":"Support email"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000943","bsg-d000943"],"name":"FAIRsharing record for: GBIF Mauritania IPT - GBIF Belgium","abbreviation":"MrBIF IPT - GBIF Belgium","url":"https://fairsharing.org/10.25504/FAIRsharing.h2v2ye","doi":"10.25504/FAIRsharing.h2v2ye","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform hosts this data repository on behalf of GBIF Mauritania (MrBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). More specifically, MrBIF aims to promote, coordinate and facilitate data sharing and dissemination; undertake surveys of potential biodiversity data publishers and data users; promote publication and use of biodiversity data; formulate and implement policies on biodiversity conservation; train young scientists and decisions makers; and acquire IT materials, stable Internet access and reliable power supply.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11648}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Mauritania"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1097,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":388,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1033,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":264,"relation":"undefined"}],"grants":[{"id":2653,"fairsharing_record_id":2461,"organisation_id":1694,"relation":"funds","created_at":"2021-09-30T09:25:51.273Z","updated_at":"2021-09-30T09:25:51.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":1694,"name":"L'Ecole Normale Superieure de Nouakchott (ENS), Nouakchott, Mauritania","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2652,"fairsharing_record_id":2461,"organisation_id":1694,"relation":"maintains","created_at":"2021-09-30T09:25:51.251Z","updated_at":"2021-09-30T09:25:51.251Z","grant_id":null,"is_lead":false,"saved_state":{"id":1694,"name":"L'Ecole Normale Superieure de Nouakchott (ENS), Nouakchott, Mauritania","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2654,"fairsharing_record_id":2461,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.301Z","updated_at":"2021-09-30T09:25:51.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2462","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T13:30:19.000Z","updated_at":"2023-12-15T10:31:39.883Z","metadata":{"doi":"10.25504/FAIRsharing.ewyejx","name":"Antabif IPT - AntOBIS IPT - GBIF Belgium","status":"ready","contacts":[{"contact_name":"Anton Van de Putte","contact_email":"antonarctica@gmail.com"}],"homepage":"http://ipt.biodiversity.aq/","citations":[],"identifier":2462,"description":"The Belgium Biodiversity Platform hosts this data repository on behalf of the SCAR Antarctic Biodiversity Portal biodiversity.aq in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). This IPT publisher serves terrestrial and marine Biodiversity data to the relevant global networks. The marine component of AntOBIS is part of an international data sharing network (Ocean Biogeographic Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information Exchange.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"a.heughebaert@biodiversity.be","name":"Andre Heughebaert","type":"Support email"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000944","bsg-d000944"],"name":"FAIRsharing record for: Antabif IPT - AntOBIS IPT - GBIF Belgium","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ewyejx","doi":"10.25504/FAIRsharing.ewyejx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform hosts this data repository on behalf of the SCAR Antarctic Biodiversity Portal biodiversity.aq in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). This IPT publisher serves terrestrial and marine Biodiversity data to the relevant global networks. The marine component of AntOBIS is part of an international data sharing network (Ocean Biogeographic Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information Exchange.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11649}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Antarctica","Belgium"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":97,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":199,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":104,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":172,"relation":"undefined"}],"grants":[{"id":2656,"fairsharing_record_id":2462,"organisation_id":227,"relation":"maintains","created_at":"2021-09-30T09:25:51.356Z","updated_at":"2021-09-30T09:25:51.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":227,"name":"biodiversity.aq","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2655,"fairsharing_record_id":2462,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.325Z","updated_at":"2021-09-30T09:25:51.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2463","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T13:30:51.000Z","updated_at":"2023-12-15T10:29:12.851Z","metadata":{"doi":"10.25504/FAIRsharing.9ff9zj","name":"Biofresh IPT - GBIF Belgium","status":"ready","contacts":[{"contact_name":"Aaike De Wever","contact_email":"aaike.dewever@naturalsciences.be"}],"homepage":"https://data.freshwaterbiodiversity.eu/","citations":[],"identifier":2463,"description":"The Belgium Biodiversity Platform hosts this data repository on behalf of BioFresh in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Biofresh is an EU-funded international project that aims to build a global information platform for scientists and ecosystem managers with access to all available databases describing the distribution, status and trends of global freshwater biodiversity. BioFresh integrates the freshwater biodiversity competencies and expertise of 19 research institutions.","abbreviation":null,"data_curation":{"url":"http://data.freshwaterbiodiversity.eu/qualitycontrol","type":"manual"},"support_links":[{"url":"a.heughebaert@biodiversity.be","name":"Andr Heughebaert","type":"Support email"},{"url":"http://data.freshwaterbiodiversity.eu/searchtips","name":"Search tips","type":"Help documentation"},{"url":"http://data.freshwaterbiodiversity.eu/datapolicy","name":"Data Policy","type":"Other"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011651","name":"re3data:r3d100011651","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://data.freshwaterbiodiversity.eu/submitdata","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000945","bsg-d000945"],"name":"FAIRsharing record for: Biofresh IPT - GBIF Belgium","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9ff9zj","doi":"10.25504/FAIRsharing.9ff9zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform hosts this data repository on behalf of BioFresh in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Biofresh is an EU-funded international project that aims to build a global information platform for scientists and ecosystem managers with access to all available databases describing the distribution, status and trends of global freshwater biodiversity. BioFresh integrates the freshwater biodiversity competencies and expertise of 19 research institutions.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11650}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science","Freshwater Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1098,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":390,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1034,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1168,"relation":"undefined"}],"grants":[{"id":2657,"fairsharing_record_id":2463,"organisation_id":231,"relation":"maintains","created_at":"2021-09-30T09:25:51.398Z","updated_at":"2021-09-30T09:25:51.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":231,"name":"BioFresh","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2658,"fairsharing_record_id":2463,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.437Z","updated_at":"2021-09-30T09:25:51.437Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2464","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T13:51:46.000Z","updated_at":"2023-12-15T10:31:01.017Z","metadata":{"doi":"10.25504/FAIRsharing.p56z5r","name":"Danish Biodiversity Information Facility IPT - GBIF Denmark","status":"ready","contacts":[{"contact_name":"Isabel Calabuig","contact_email":"ICalabuig@snm.ku.dk"}],"homepage":"http://danbif.au.dk/ipt/","identifier":2464,"description":"DanBIF maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). DanBIF carries out the work on making accessible the Danish, Faroese and Greenlandic resources of biodiversity data. DanBIF maintains the consensus checklist of all species known to occur in Denmark.","abbreviation":"DanBIF IPT - GBIF Denmark","data_curation":{"type":"manual"},"year_creation":2001,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000946","bsg-d000946"],"name":"FAIRsharing record for: Danish Biodiversity Information Facility IPT - GBIF Denmark","abbreviation":"DanBIF IPT - GBIF Denmark","url":"https://fairsharing.org/10.25504/FAIRsharing.p56z5r","doi":"10.25504/FAIRsharing.p56z5r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DanBIF maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). DanBIF carries out the work on making accessible the Danish, Faroese and Greenlandic resources of biodiversity data. DanBIF maintains the consensus checklist of all species known to occur in Denmark.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11651}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","Faroe Islands","Greenland"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1103,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":392,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":277,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1167,"relation":"undefined"}],"grants":[{"id":2661,"fairsharing_record_id":2464,"organisation_id":987,"relation":"funds","created_at":"2021-09-30T09:25:51.548Z","updated_at":"2021-09-30T09:25:51.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":987,"name":"Faculty of Science, University of Copenhagen","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2659,"fairsharing_record_id":2464,"organisation_id":988,"relation":"funds","created_at":"2021-09-30T09:25:51.469Z","updated_at":"2021-09-30T09:25:51.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":988,"name":"Faculty of Science, University of Southern Denmark","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2660,"fairsharing_record_id":2464,"organisation_id":637,"relation":"maintains","created_at":"2021-09-30T09:25:51.506Z","updated_at":"2021-09-30T09:25:51.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":637,"name":"Danish Biodiversity Information Facility, Denmark","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2662,"fairsharing_record_id":2464,"organisation_id":986,"relation":"funds","created_at":"2021-09-30T09:25:51.590Z","updated_at":"2021-09-30T09:25:51.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":986,"name":"Faculty of Science and Technology, Aarhus University, Denmark","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2465","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T14:13:12.000Z","updated_at":"2024-06-11T10:26:57.102Z","metadata":{"doi":"10.25504/FAIRsharing.58bd67","name":"Finnish Biodiversity Information Facility Repository","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"helpdesk@laji.fi","contact_orcid":null},{"contact_name":"Matti Sahla","contact_email":"matti.sahla@helsinki.fi","contact_orcid":"0000-0003-1151-0551"}],"homepage":"https://laji.fi","citations":[],"identifier":2465,"description":"The Finnish Biodiversity Information Facility (FinBIF) is an open access data repository for researchers, government and the public. FinBIF consolidates many collections and datasets of living Finland in a single source. Our online portal, laji.fi, allows you to browse, search and download information about all forms of biological life, and to record and share your own observations. FinBIF is committed to the sharing and promotion of open access data.","abbreviation":"FinBIF","data_curation":{"url":"https://laji.fi/en/save-observations","type":"not found","notes":"All described curation is performed by the submitter; no additional information can be found about post-submission curation."},"support_links":[{"url":"https://laji.fi/en/about/1153","type":"Contact form"}],"year_creation":2016,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013555","name":"re3data:r3d100013555","portal":"re3data"}],"data_access_condition":{"url":"https://laji.fi/en/about/875","type":"partially open","notes":"A small number of animal observation data is kept secret for security issues / animal well-being."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://laji.fi/en/save-observations","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000947","bsg-d000947"],"name":"FAIRsharing record for: Finnish Biodiversity Information Facility Repository","abbreviation":"FinBIF","url":"https://fairsharing.org/10.25504/FAIRsharing.58bd67","doi":"10.25504/FAIRsharing.58bd67","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Finnish Biodiversity Information Facility (FinBIF) is an open access data repository for researchers, government and the public. FinBIF consolidates many collections and datasets of living Finland in a single source. Our online portal, laji.fi, allows you to browse, search and download information about all forms of biological life, and to record and share your own observations. FinBIF is committed to the sharing and promotion of open access data.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11652}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Taxonomy","Biodiversity"],"domains":["Citation","Taxonomic classification","Biobank","Resource collection","Biological sample","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":["citizen science"],"countries":["Finland"],"publications":[{"id":4000,"pubmed_id":null,"title":"The Finnish Biodiversity Information Facility as a best-practice model for biodiversity data infrastructures","year":2021,"url":"http://dx.doi.org/10.1038/s41597-021-00919-6","authors":"Schulman, Leif; Lahti, Kari; Piirainen, Esko; Heikkinen, Mikko; Raitio, Olli; Juslén, Aino; ","journal":"Sci Data","doi":"10.1038/s41597-021-00919-6","created_at":"2023-09-28T08:12:48.639Z","updated_at":"2023-09-28T08:12:48.639Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1548,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1545,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1551,"relation":"undefined"}],"grants":[{"id":2664,"fairsharing_record_id":2465,"organisation_id":1013,"relation":"maintains","created_at":"2021-09-30T09:25:51.669Z","updated_at":"2023-09-25T09:26:08.038Z","grant_id":null,"is_lead":true,"saved_state":{"id":1013,"name":"Finnish Museum of Natural History","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10960,"fairsharing_record_id":2465,"organisation_id":4126,"relation":"maintains","created_at":"2023-09-28T08:15:27.271Z","updated_at":"2023-09-28T08:15:27.271Z","grant_id":null,"is_lead":true,"saved_state":{"id":4126,"name":"Finnish Biodiversity Information Facility","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2466","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T14:55:44.000Z","updated_at":"2023-11-13T11:45:03.923Z","metadata":{"doi":"10.25504/FAIRsharing.pq1njd","name":"GBIF France IPT - GBIF France","status":"ready","contacts":[{"contact_email":"gbif@gbif.fr"}],"homepage":"http://ipt.gbif.fr/","identifier":2466,"description":"GBIF France aims to collect all primary biodiversity data hosted in France, regardless of whether they concern the biodiversity of French territory or the rest of the world. GBIF France also supports additional countries' nodes with the hosting of their IPTs.","abbreviation":null,"data_curation":{"url":"https://www.gbif.org/become-a-publisher","type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/","type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.gbif.org/become-a-publisher","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000948","bsg-d000948"],"name":"FAIRsharing record for: GBIF France IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pq1njd","doi":"10.25504/FAIRsharing.pq1njd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France aims to collect all primary biodiversity data hosted in France, regardless of whether they concern the biodiversity of French territory or the rest of the world. GBIF France also supports additional countries' nodes with the hosting of their IPTs.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11653}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1235,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1213,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1210,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1215,"relation":"undefined"}],"grants":[{"id":2667,"fairsharing_record_id":2466,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.751Z","updated_at":"2021-09-30T09:25:51.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2665,"fairsharing_record_id":2466,"organisation_id":1947,"relation":"maintains","created_at":"2021-09-30T09:25:51.702Z","updated_at":"2021-09-30T09:25:51.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2666,"fairsharing_record_id":2466,"organisation_id":1059,"relation":"funds","created_at":"2021-09-30T09:25:51.725Z","updated_at":"2021-09-30T09:25:51.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":1059,"name":"French Ministry of Education, Research and Innovation, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2467","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T15:01:46.000Z","updated_at":"2023-12-15T10:31:02.631Z","metadata":{"doi":"10.25504/FAIRsharing.ptp5tb","name":"GBIF Benin IPT - GBIF France","status":"ready","contacts":[{"contact_name":"Jean C. Ganglo","contact_email":"gangloc@gmail.com"}],"homepage":"http://ipt-benin.gbif.fr/","citations":[],"identifier":2467,"description":"GBIF France hosts this data repository on behalf of GBIF Benin in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000949","bsg-d000949"],"name":"FAIRsharing record for: GBIF Benin IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ptp5tb","doi":"10.25504/FAIRsharing.ptp5tb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of GBIF Benin in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11654}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Benin","France"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1005,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1002,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":999,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1003,"relation":"undefined"}],"grants":[{"id":2668,"fairsharing_record_id":2467,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.775Z","updated_at":"2021-09-30T09:25:51.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2468","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T15:08:51.000Z","updated_at":"2023-12-15T10:30:36.810Z","metadata":{"doi":"10.25504/FAIRsharing.hwx5xr","name":"GBIF Guinea IPT - GBIF France","status":"ready","contacts":[{"contact_email":"gbif@gbif.fr"}],"homepage":"http://ipt-guinee.gbif.fr/","identifier":2468,"description":"GBIF France hosts this data repository on behalf of GBIF Guinea in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). GBIF-GUINEE is established within the Centre d'Observation de Surveillance et d'Information Environnementales (COSIE) , the signatory of the GBIF Memorandum of Understanding, as a specialized team working on the collection of biodiversity occurrence data from data publishers to enable their publication on the Internet. The node of GBIF-GUINEE is mandated to collect species occurrence data on the national and international level in order to make these available to data users and decision makers. The data collected and disseminated by COSIE enable the generation of statistics to support decision making by authorities, in order to integrate ecological considerations into programmes and plans for the socio-economic development of Guniea. These ecological considerations have the goal of protection of the environment and biological diversity.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000950","bsg-d000950"],"name":"FAIRsharing record for: GBIF Guinea IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.hwx5xr","doi":"10.25504/FAIRsharing.hwx5xr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of GBIF Guinea in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). GBIF-GUINEE is established within the Centre d'Observation de Surveillance et d'Information Environnementales (COSIE) , the signatory of the GBIF Memorandum of Understanding, as a specialized team working on the collection of biodiversity occurrence data from data publishers to enable their publication on the Internet. The node of GBIF-GUINEE is mandated to collect species occurrence data on the national and international level in order to make these available to data users and decision makers. The data collected and disseminated by COSIE enable the generation of statistics to support decision making by authorities, in order to integrate ecological considerations into programmes and plans for the socio-economic development of Guniea. These ecological considerations have the goal of protection of the environment and biological diversity.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11655}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Cameroon","France"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":83,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":72,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":81,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":77,"relation":"undefined"}],"grants":[{"id":2669,"fairsharing_record_id":2468,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.800Z","updated_at":"2021-09-30T09:25:51.800Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2454","type":"fairsharing_records","attributes":{"created_at":"2017-05-01T12:02:57.000Z","updated_at":"2023-12-15T10:32:59.588Z","metadata":{"doi":"10.25504/FAIRsharing.y0df7m","name":"Inter-university Consortium for Political and Social Research","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@icpsr.umich.edu"}],"homepage":"http://www.icpsr.umich.edu/","identifier":2454,"description":"ICPSR is a data archive of behavioral and social science research data. An international consortium of more than 750 academic institutions and research organizations, ICPSR provides leadership and training in data access, curation, and methods of analysis for the social science research community. ICPSR is a CoreTrustSeal core certified repository and was a 2019 United States National Medal for Museum and Library Service recipient, the nation’s highest honor given to museums and libraries that make significant and exceptional contributions to their communities.","abbreviation":"ICPSR","data_curation":{"url":"https://www.icpsr.umich.edu/files/datamanagement/icpsr-curation-levels.pdf","type":"manual"},"support_links":[{"url":"https://www.icpsr.umich.edu/icpsrweb/content/about/contact.html","name":"ICPSR Contact Us","type":"Contact form"},{"url":"http://www.icpsr.umich.edu/icpsrweb/ICPSR/help/","name":"ICPSR Help","type":"Help documentation"},{"url":"https://twitter.com/ICPSR","name":"@ICPSR","type":"Twitter"}],"year_creation":1962,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010255","name":"re3data:r3d100010255","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003194","name":"SciCrunch:RRID:SCR_003194","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.icpsr.umich.edu/web/ICPSR/help/","type":"partially open","notes":"Access to some datasets are restricted and applications are reviewed by the Institutional Review Board. Only ICPSR members can access all datasets."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/deposit/index.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000936","bsg-d000936"],"name":"FAIRsharing record for: Inter-university Consortium for Political and Social Research","abbreviation":"ICPSR","url":"https://fairsharing.org/10.25504/FAIRsharing.y0df7m","doi":"10.25504/FAIRsharing.y0df7m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ICPSR is a data archive of behavioral and social science research data. An international consortium of more than 750 academic institutions and research organizations, ICPSR provides leadership and training in data access, curation, and methods of analysis for the social science research community. ICPSR is a CoreTrustSeal core certified repository and was a 2019 United States National Medal for Museum and Library Service recipient, the nation’s highest honor given to museums and libraries that make significant and exceptional contributions to their communities.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11130},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12777},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12934},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19999}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Demographics","Social Science","Criminology","Data Governance","Public Health","Data Management","Psychology","Social and Behavioural Science","Political Science","Anthropology"],"domains":["Behavior","Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Education","Sociology"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ICPSR Privacy Policy","licence_id":417,"licence_url":"https://www.icpsr.umich.edu/icpsrweb/content/about/privacy.html","link_id":307,"relation":"undefined"}],"grants":[{"id":2634,"fairsharing_record_id":2454,"organisation_id":2415,"relation":"maintains","created_at":"2021-09-30T09:25:50.636Z","updated_at":"2021-09-30T09:25:50.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":2415,"name":"Regents of the University of Michigan, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2635,"fairsharing_record_id":2454,"organisation_id":1393,"relation":"maintains","created_at":"2021-09-30T09:25:50.672Z","updated_at":"2021-09-30T09:25:50.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":1393,"name":"Institute for Social Research, University of Michigan, Ann Arbor, MI, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2455","type":"fairsharing_records","attributes":{"created_at":"2017-05-09T12:21:32.000Z","updated_at":"2023-10-04T08:17:57.215Z","metadata":{"doi":"10.25504/FAIRsharing.2wa7v7","name":"PhenX Toolkit","status":"ready","contacts":[{"contact_name":"PhenX Staff","contact_email":"contact@phenxtoolkit.org","contact_orcid":null}],"homepage":"https://www.phenxtoolkit.org","citations":[],"identifier":2455,"description":"The PhenX (consensus measures for Phenotypes and eXposures) Toolkit is a web-based catalog of recommended, standard measures of phenotypes and environmental exposures for use in biomedical research. The PhenX Toolkit offers well-established, broadly validated measures of phenotypes and exposures relevant to investigators in human genomics, epidemiology, and biomedical research. The measures in the Toolkit are selected by Working Groups of domain experts using a consensus process. The Toolkit provides detailed protocols, information about the measures, and tools to help investigators incorporate PhenX measures into their studies.","abbreviation":"PhenX Toolkit","data_curation":{"type":"manual","notes":"Data are reviewed by Expert Review Panels."},"support_links":[{"url":"https://www.phenxtoolkit.org/about/contact-form","name":"General Contact Form","type":"Contact form"},{"url":"https://www.phenxtoolkit.org/help/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.phenxtoolkit.org/help","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCbDroMNmfIMwCA1fa3masyw","name":"YouTube Channel","type":"Video"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"url":"https://www.phenxtoolkit.org/help/faq#question-11","type":"partially open","notes":"A small percentage of protocols have limited availability. The user will be directed to the source of the protocol."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.phenxtoolkit.org/about/criteria","type":"controlled","notes":"The protocols in the Toolkit are selected by Working Groups of domain experts using a consensus process."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000937","bsg-d000937"],"name":"FAIRsharing record for: PhenX Toolkit","abbreviation":"PhenX Toolkit","url":"https://fairsharing.org/10.25504/FAIRsharing.2wa7v7","doi":"10.25504/FAIRsharing.2wa7v7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PhenX (consensus measures for Phenotypes and eXposures) Toolkit is a web-based catalog of recommended, standard measures of phenotypes and environmental exposures for use in biomedical research. The PhenX Toolkit offers well-established, broadly validated measures of phenotypes and exposures relevant to investigators in human genomics, epidemiology, and biomedical research. The measures in the Toolkit are selected by Working Groups of domain experts using a consensus process. The Toolkit provides detailed protocols, information about the measures, and tools to help investigators incorporate PhenX measures into their studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12778}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science","Epidemiology"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1812,"pubmed_id":26132000,"title":"Using the PhenX Toolkit to Add Standard Measures to a Study.","year":2015,"url":"http://doi.org/10.1002/0471142905.hg0121s86","authors":"Hendershot T,Pan H,Haines J,Harlan WR,Marazita ML,McCarty CA,Ramos EM,Hamilton CM","journal":"Curr Protoc Hum Genet","doi":"10.1002/0471142905.hg0121s86","created_at":"2021-09-30T08:25:43.380Z","updated_at":"2021-09-30T08:25:43.380Z"},{"id":2148,"pubmed_id":22954959,"title":"The PhenX Toolkit pregnancy and birth collections.","year":2012,"url":"http://doi.org/10.1016/j.annepidem.2012.08.004","authors":"Whitehead NS,Hammond JA,Williams MA,Huggins W,Hoover S,Hamilton CM,Ramos EM,Junkins HA,Harlan WR,Hogue CJ","journal":"Ann Epidemiol","doi":"10.1016/j.annepidem.2012.08.004","created_at":"2021-09-30T08:26:22.066Z","updated_at":"2021-09-30T08:26:22.066Z"}],"licence_links":[],"grants":[{"id":2636,"fairsharing_record_id":2455,"organisation_id":2226,"relation":"funds","created_at":"2021-09-30T09:25:50.710Z","updated_at":"2021-09-30T09:25:50.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2226,"name":"Office of Behavioral and Social Sciences Research (OBSSR), NIH, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2637,"fairsharing_record_id":2455,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:50.742Z","updated_at":"2021-09-30T09:25:50.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2638,"fairsharing_record_id":2455,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:50.776Z","updated_at":"2021-09-30T09:25:50.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2639,"fairsharing_record_id":2455,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:50.809Z","updated_at":"2021-09-30T09:29:21.794Z","grant_id":213,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41 HG007050","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2tEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6fb5773561343d6261ff50c85b37700f4b50682c/Screenshot%20from%202023-10-04%2009-17-17.png?disposition=inline","exhaustive_licences":false}},{"id":"2456","type":"fairsharing_records","attributes":{"created_at":"2017-05-09T18:11:49.000Z","updated_at":"2022-07-20T13:07:53.338Z","metadata":{"doi":"10.25504/FAIRsharing.5epybt","name":"Apollo Library","status":"deprecated","contacts":[{"contact_name":"Michael Wagner","contact_email":"mmw1@pitt.edu","contact_orcid":"0000-0002-4437-7016"}],"homepage":"https://apollodev.github.io/","identifier":2456,"description":"The Apollo Library contains machine interpretable representations of epidemics, infectious disease scenarios, and case series.","abbreviation":"Apollo Library","data_curation":{"type":"not found"},"year_creation":2016,"data_versioning":"not found","deprecation_date":"2021-05-24","deprecation_reason":"This resource no longer exists as a database, but rather as a schema, web service and controlled vocabulary. As such it is no longer within FAIRsharing's remit.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000938","bsg-d000938"],"name":"FAIRsharing record for: Apollo Library","abbreviation":"Apollo Library","url":"https://fairsharing.org/10.25504/FAIRsharing.5epybt","doi":"10.25504/FAIRsharing.5epybt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Apollo Library contains machine interpretable representations of epidemics, infectious disease scenarios, and case series.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12779}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science","Epidemiology"],"domains":["Infection","Disease"],"taxonomies":["Chikungunya virus","ebolavirus","rabies virus","Zika virus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":1004,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2457","type":"fairsharing_records","attributes":{"created_at":"2017-05-12T19:13:39.000Z","updated_at":"2022-01-11T14:34:49.129Z","metadata":{"doi":"10.25504/FAIRsharing.6hb7c1","name":"Chile National Health Survey 2009-2010","status":"deprecated","contacts":[{"contact_name":"jpalegre@minsal.cl","contact_email":"jpalegre@minsal.cl"}],"homepage":"http://epi.minsal.cl/bases-de-datos/","citations":[],"identifier":2457,"description":"The Chile National Health Survey 2009-2010 includes health status questionnaires including the SF-12, mental health questionnaires, physical activity questionnaires, and biological measurements taken during a physical exam.","abbreviation":"Chile NHS 2009","data_curation":{"type":"not found"},"year_creation":2009,"data_versioning":"not found","deprecation_date":"2022-01-05","deprecation_reason":"This resource no longer fits within our remit as a database. Please get in touch with us if you have information relating to this resource's status.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000939","bsg-d000939"],"name":"FAIRsharing record for: Chile National Health Survey 2009-2010","abbreviation":"Chile NHS 2009","url":"https://fairsharing.org/10.25504/FAIRsharing.6hb7c1","doi":"10.25504/FAIRsharing.6hb7c1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chile National Health Survey 2009-2010 includes health status questionnaires including the SF-12, mental health questionnaires, physical activity questionnaires, and biological measurements taken during a physical exam.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Chile"],"publications":[],"licence_links":[],"grants":[{"id":2640,"fairsharing_record_id":2457,"organisation_id":1854,"relation":"maintains","created_at":"2021-09-30T09:25:50.833Z","updated_at":"2021-09-30T09:25:50.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":1854,"name":"Ministerio de Salud de Chile, Chile","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2447","type":"fairsharing_records","attributes":{"created_at":"2017-04-22T14:27:08.000Z","updated_at":"2024-07-08T11:03:12.623Z","metadata":{"doi":"10.25504/FAIRsharing.ys5ta3","name":"System for Earth Sample Registration Catalog","status":"ready","contacts":[{"contact_name":"Kerstin Lehnert","contact_email":"info@geosamples.org"}],"homepage":"https://www.geosamples.org/","citations":[],"identifier":2447,"description":"SESAR operates a registry that distributes the International Geo Sample Number IGSN. SESAR catalogs and preserves metadata profiles of physical samples, and provides access to the sample catalog via the Global Sample Search.","abbreviation":"SESAR Catalog","data_curation":{"url":"https://www.geosamples.org/about/services#curationsupport","type":"manual"},"support_links":[{"url":"https://www.geosamples.org/resources/help#faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.geosamples.org/resources/help","type":"Help documentation"},{"url":"https://www.geosamples.org/vocabularies","name":"SESAR Vocabularies","type":"Help documentation"},{"url":"https://www.geosamples.org/category/news","type":"Blog/News"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010420","name":"re3data:r3d100010420","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002222","name":"SciCrunch:RRID:SCR_002222","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.geosamples.org/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.geosamples.org/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000929","bsg-d000929"],"name":"FAIRsharing record for: System for Earth Sample Registration Catalog","abbreviation":"SESAR Catalog","url":"https://fairsharing.org/10.25504/FAIRsharing.ys5ta3","doi":"10.25504/FAIRsharing.ys5ta3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SESAR operates a registry that distributes the International Geo Sample Number IGSN. SESAR catalogs and preserves metadata profiles of physical samples, and provides access to the sample catalog via the Global Sample Search.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2613,"fairsharing_record_id":2447,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.843Z","updated_at":"2021-09-30T09:25:49.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2612,"fairsharing_record_id":2447,"organisation_id":1466,"relation":"maintains","created_at":"2021-09-30T09:25:49.806Z","updated_at":"2021-09-30T09:25:49.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":1466,"name":"Interdisciplinary Earth Data Alliance (IEDA), Palisades, NY, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2614,"fairsharing_record_id":2447,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:49.881Z","updated_at":"2021-09-30T09:25:49.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2448","type":"fairsharing_records","attributes":{"created_at":"2017-04-22T21:07:43.000Z","updated_at":"2023-12-15T10:31:28.441Z","metadata":{"doi":"10.25504/FAIRsharing.2cfr4z","name":"Allele Frequency Net Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"support@allelefrequencies.net"}],"homepage":"http://www.allelefrequencies.net","citations":[{"doi":"10.1093/nar/gkz1029","pubmed_id":31722398,"publication_id":2155}],"identifier":2448,"description":"The Allele Frequency Net Database (AFND) provides the scientific community with a freely available repository for the storage of frequency data (alleles, genes, haplotypes and genotypes) related to human leukocyte antigens (HLA), killer-cell immunoglobulin-like receptors (KIR), major histocompatibility complex Class I chain related genes (MIC) and a number of cytokine gene polymorphisms in worldwide populations.","abbreviation":"AFND","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.allelefrequencies.net/faqs.asp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.allelefrequencies.net/collaborators.asp","name":"About","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011904","name":"re3data:r3d100011904","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007259","name":"SciCrunch:RRID:SCR_007259","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.allelefrequencies.net/faqs.asp","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000930","bsg-d000930"],"name":"FAIRsharing record for: Allele Frequency Net Database","abbreviation":"AFND","url":"https://fairsharing.org/10.25504/FAIRsharing.2cfr4z","doi":"10.25504/FAIRsharing.2cfr4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Allele Frequency Net Database (AFND) provides the scientific community with a freely available repository for the storage of frequency data (alleles, genes, haplotypes and genotypes) related to human leukocyte antigens (HLA), killer-cell immunoglobulin-like receptors (KIR), major histocompatibility complex Class I chain related genes (MIC) and a number of cytokine gene polymorphisms in worldwide populations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Human Genetics","Biomedical Science"],"domains":["Deoxyribonucleic acid","Human leukocyte antigen complex","Genetic polymorphism","Major histocompatibility complex","Killer-cell Immunoglobulin-like Receptors","Allele","Allele frequency","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2152,"pubmed_id":null,"title":"Allele frequency net 2015 update: new features for HLA epitopes, KIR and disease and HLA adverse drug reaction associations","year":2015,"url":"https://doi.org/10.1093/nar/gku1166","authors":"Faviel F. González-Galarza Louise Y.C. Takeshita Eduardo J.M. Santos Felicity Kempson Maria Helena Thomaz Maia Andrea Luciana Soares da Silva André Luiz Teles e Silva Gurpreet S. Ghattaoraya Ana Alfirevic Andrew R. Jones Derek Middleton","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:26:22.556Z","updated_at":"2021-09-30T11:29:51.479Z"},{"id":2155,"pubmed_id":31722398,"title":"Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1029","authors":"Gonzalez-Galarza FF,McCabe A,Santos EJMD,Jones J,Takeshita L,Ortega-Rivera ND,Cid-Pavon GMD,Ramsbottom K,Ghattaoraya G,Alfirevic A,Middleton D,Jones AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1029","created_at":"2021-09-30T08:26:22.913Z","updated_at":"2021-09-30T11:29:30.229Z"}],"licence_links":[{"licence_name":"AFND Disclaimer \u0026 Privacy Policy","licence_id":977,"licence_url":"http://www.allelefrequencies.net/contact.asp","link_id":2821,"relation":"applies_to_content"}],"grants":[{"id":2616,"fairsharing_record_id":2448,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:25:49.964Z","updated_at":"2021-09-30T09:25:49.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2615,"fairsharing_record_id":2448,"organisation_id":2827,"relation":"maintains","created_at":"2021-09-30T09:25:49.922Z","updated_at":"2021-09-30T09:25:49.922Z","grant_id":null,"is_lead":false,"saved_state":{"id":2827,"name":"The Royal Liverpool and Broadgreen Universities Hospital NHS Trust, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2449","type":"fairsharing_records","attributes":{"created_at":"2017-04-22T21:41:16.000Z","updated_at":"2024-05-21T11:41:29.717Z","metadata":{"doi":"10.25504/FAIRsharing.21tjj7","name":"Leiden Open Variation Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@LOVD.nl"}],"homepage":"https://www.lovd.nl/","citations":[{"doi":"10.1038/s41431-021-00959-x","pubmed_id":34521998,"publication_id":4276}],"identifier":2449,"description":"The Leiden Open Variation Database (LOVD) provides a flexible, freely available tool for gene-centered collection and display of DNA variations. LOVD also stores patient-centered data, NGS data, and variants outside of genes.","abbreviation":"LOVD","data_curation":{"url":"https://www.lovd.nl/3.0/docs/manual.html#[5,%22XYZ%22,57.056,785.197,null]","type":"manual/automated"},"support_links":[{"url":"https://www.lovd.nl/3.0/news","name":"News","type":"Blog/News"},{"url":"https://www.lovd.nl/3.0/contact","name":"Contact Form","type":"Contact form"},{"url":"https://www.lovd.nl/3.0/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.lovd.nl/3.0/docs/manual.html","name":"User Guide","type":"Help documentation"},{"url":"https://twitter.com/LOVD","name":"@LOVD","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Leiden_Open_Variation_Database","name":"LOVD Wikipedia Page","type":"Wikipedia"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011905","name":"re3data:r3d100011905","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006566","name":"SciCrunch:RRID:SCR_006566","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.lovd.nl/3.0/docs/manual.html#[55,%22XYZ%22,57.056,785.197,null]","type":"controlled","notes":"Some data can only be entered by persons qualified to \"manager\", \"collaborator\" or \"curator\" levels, approved by the database."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000931","bsg-d000931"],"name":"FAIRsharing record for: Leiden Open Variation Database","abbreviation":"LOVD","url":"https://fairsharing.org/10.25504/FAIRsharing.21tjj7","doi":"10.25504/FAIRsharing.21tjj7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Leiden Open Variation Database (LOVD) provides a flexible, freely available tool for gene-centered collection and display of DNA variations. LOVD also stores patient-centered data, NGS data, and variants outside of genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Human Genetics","Biomedical Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Phenotype","Disease","Gene","Sequence variant","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Functional impact of genetic variants"],"countries":["Netherlands"],"publications":[{"id":2134,"pubmed_id":15977173,"title":"LOVD: easy creation of a locus-specific sequence variation database using an \"LSDB-in-a-box\" approach.","year":2005,"url":"http://doi.org/10.1002/humu.20201","authors":"Fokkema IF, den Dunnen JT, Taschner PE","journal":"Human Mutation","doi":"10.1002/humu.20201","created_at":"2021-09-30T08:26:20.624Z","updated_at":"2021-09-30T08:26:20.624Z"},{"id":2177,"pubmed_id":21520333,"title":"LOVD v.2.0: the next generation in gene variant databases.","year":2011,"url":"http://doi.org/10.1002/humu.21438","authors":"Fokkema IF, Taschner PE, Schaafsma GC, Celli J, Laros JF, den Dunnen JT","journal":"Human Mutation","doi":"10.1002/humu.21438","created_at":"2021-09-30T08:26:25.377Z","updated_at":"2021-09-30T08:26:25.377Z"},{"id":4276,"pubmed_id":34521998,"title":"The LOVD3 platform: efficient genome-wide sharing of genetic variants.","year":2021,"url":"https://doi.org/10.1038/s41431-021-00959-x","authors":"Fokkema IFAC, Kroon M, López Hernández JA, Asscheman D, Lugtenburg I, Hoogenboom J, den Dunnen JT","journal":"European journal of human genetics : EJHG","doi":"10.1038/s41431-021-00959-x","created_at":"2024-05-08T10:09:44.677Z","updated_at":"2024-05-08T10:09:44.677Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":162,"relation":"undefined"}],"grants":[{"id":2619,"fairsharing_record_id":2449,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:50.058Z","updated_at":"2021-09-30T09:29:49.954Z","grant_id":425,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2618,"fairsharing_record_id":2449,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:25:50.034Z","updated_at":"2021-09-30T09:25:50.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2450","type":"fairsharing_records","attributes":{"created_at":"2017-05-30T02:42:48.000Z","updated_at":"2021-11-24T13:13:06.262Z","metadata":{"doi":"10.25504/FAIRsharing.c7c4h1","name":"Visual Database for Organelle Genome","status":"deprecated","contacts":[{"contact_name":"Yiqing Xu","contact_email":"yiqingxu@njfu.edu.cn","contact_orcid":"0000-0002-7962-6668"}],"homepage":"http://bio.njfu.edu.cn/VDOG","identifier":2450,"description":"VDOG, Visual Database for Organelle Genome is an innovative database of the genome information in the organelles. Most of the data in VDOG are originally extracted from GeneBank, re-organized and represented.","abbreviation":"VDOG","data_curation":{"type":"not found"},"support_links":[{"url":"yiqingxu@njfu.edu.cn","type":"Support email"},{"url":"http://bio.njfu.edu.cn/VDOG/howto.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://bio.njfu.edu.cn/VDOG/intro.php","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","associated_tools":[{"url":"http://bio.njfu.edu.cn/CPTree","name":"CPTree 1.2"},{"url":"http://bio.njfu.edu.cn/MTTree","name":"MTTree beta"},{"url":"http://ogdraw.mpimp-golm.mpg.de/","name":"OrganellarGenomeDRAW 1.2"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000932","bsg-d000932"],"name":"FAIRsharing record for: Visual Database for Organelle Genome","abbreviation":"VDOG","url":"https://fairsharing.org/10.25504/FAIRsharing.c7c4h1","doi":"10.25504/FAIRsharing.c7c4h1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VDOG, Visual Database for Organelle Genome is an innovative database of the genome information in the organelles. Most of the data in VDOG are originally extracted from GeneBank, re-organized and represented.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Visualization"],"domains":["Organelle","Mitochondrial sequence","Plastid sequence","Chloroplast sequence"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1038,"relation":"undefined"}],"grants":[{"id":2620,"fairsharing_record_id":2450,"organisation_id":1928,"relation":"maintains","created_at":"2021-09-30T09:25:50.083Z","updated_at":"2021-09-30T09:25:50.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":1928,"name":"Nanjing Forestry University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2434","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T19:06:37.000Z","updated_at":"2023-12-15T10:27:35.202Z","metadata":{"doi":"10.25504/FAIRsharing.t43bf6","name":"UK Polar Data Centre Discovery Metadata System","status":"ready","contacts":[{"contact_name":"General Information","contact_email":"polardatacentre@bas.ac.uk"}],"homepage":"https://www.bas.ac.uk/data/uk-pdc/","citations":[],"identifier":2434,"description":"The UK Polar Data Centre (UK PDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for polar science. It is the focal point for Arctic and Antarctic environmental data management in the UK.","abbreviation":"UK PDC Discovery Metadata System","data_curation":{"url":"https://www.bas.ac.uk/data/uk-pdc/contacts/","type":"manual"},"support_links":[{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"},{"url":"https://www.bas.ac.uk/data/uk-pdc/metadata-guidance/","name":"Metadata Guidance","type":"Help documentation"},{"url":"https://www.bas.ac.uk/data/uk-pdc/data-citation-and-publishing/","name":"About Data Citation","type":"Help documentation"},{"url":"https://twitter.com/BAS_News","name":"@BAS_News","type":"Twitter"}],"data_versioning":"no","associated_tools":[{"url":"https://data.bas.ac.uk/","name":"Discovery Metadata System"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010120","name":"re3data:r3d100010120","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.bas.ac.uk/wp-content/uploads/2020/05/PDC_digital_data_preservation_policy_v1.0.pdf","name":"UK PDC Digital Data preservation policy"},"data_deposition_condition":{"url":"https://www.bas.ac.uk/data/uk-pdc/data-deposit/","type":"controlled","notes":"Data deposit"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000916","bsg-d000916"],"name":"FAIRsharing record for: UK Polar Data Centre Discovery Metadata System","abbreviation":"UK PDC Discovery Metadata System","url":"https://fairsharing.org/10.25504/FAIRsharing.t43bf6","doi":"10.25504/FAIRsharing.t43bf6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Polar Data Centre (UK PDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for polar science. It is the focal point for Arctic and Antarctic environmental data management in the UK.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BAS Privacy and Cookie Policy","licence_id":56,"licence_url":"https://www.bas.ac.uk/about-this-site/privacy-cookie-policy/","link_id":1501,"relation":"undefined"}],"grants":[{"id":2585,"fairsharing_record_id":2434,"organisation_id":2090,"relation":"maintains","created_at":"2021-09-30T09:25:48.733Z","updated_at":"2021-09-30T09:25:48.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2586,"fairsharing_record_id":2434,"organisation_id":312,"relation":"maintains","created_at":"2021-09-30T09:25:48.757Z","updated_at":"2021-09-30T09:25:48.757Z","grant_id":null,"is_lead":true,"saved_state":{"id":312,"name":"British Antarctic Survey, National Environmental Research Council (NERC), Cambridge, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBallDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a62a9988ed1db3a47c4066b593cd15d07ef38486/Screenshot%20from%202022-12-17%2010-42-23.png?disposition=inline","exhaustive_licences":false}},{"id":"2451","type":"fairsharing_records","attributes":{"created_at":"2017-04-28T19:30:55.000Z","updated_at":"2023-06-23T09:34:54.634Z","metadata":{"doi":"10.25504/FAIRsharing.2g5kcb","name":"Research Data Australia","status":"ready","contacts":[{"contact_name":"Cel Pilapil","contact_email":"services@ardc.edu.au"}],"homepage":"https://researchdata.edu.au/","identifier":2451,"description":"Research Data Australia is the data discovery service of the Australian Research Data Commons (ARDC). Research Data Australia helps you find, access, and reuse data for research from over one hundred Australian research organisations, government agencies, and cultural institutions. This services indexes metadata about the data stored by their data publishing partners, providing links out to the primary data.","abbreviation":"RDA","data_curation":{"url":"https://documentation.ardc.edu.au/display/DOC/Content+Providers+Guide","type":"manual/automated"},"support_links":[{"url":"https://researchdata.edu.au/page/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ARDC_AU","name":"@ARDC_AU","type":"Twitter"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"https://researchdata.edu.au/theme/services","name":"Tool List"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010464","name":"re3data:r3d100010464","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.education.gov.au/ncris","name":"National Collaborative Research Infrastructure Strategy (NCRIS)"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://researchdata.edu.au/contributors-list","type":"controlled","notes":"https://documentation.ardc.edu.au/display/DOC/Providing+metadata+records+to+Research+Data+Australia"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000933","bsg-d000933"],"name":"FAIRsharing record for: Research Data Australia","abbreviation":"RDA","url":"https://fairsharing.org/10.25504/FAIRsharing.2g5kcb","doi":"10.25504/FAIRsharing.2g5kcb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Research Data Australia is the data discovery service of the Australian Research Data Commons (ARDC). Research Data Australia helps you find, access, and reuse data for research from over one hundred Australian research organisations, government agencies, and cultural institutions. This services indexes metadata about the data stored by their data publishing partners, providing links out to the primary data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Marine Biology","Humanities and Social Science","Urban Planning","Astrophysics and Astronomy","Materials Science","Subject Agnostic","Biology","Tropical Medicine","Ecosystem Science"],"domains":["Resource metadata","Tropical","Climate","Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":2622,"fairsharing_record_id":2451,"organisation_id":146,"relation":"maintains","created_at":"2021-09-30T09:25:50.156Z","updated_at":"2021-09-30T09:25:50.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":146,"name":"Australian National University, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2621,"fairsharing_record_id":2451,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:50.114Z","updated_at":"2021-09-30T09:25:50.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2623,"fairsharing_record_id":2451,"organisation_id":568,"relation":"maintains","created_at":"2021-09-30T09:25:50.197Z","updated_at":"2021-09-30T09:25:50.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2624,"fairsharing_record_id":2451,"organisation_id":1892,"relation":"maintains","created_at":"2021-09-30T09:25:50.235Z","updated_at":"2021-09-30T09:25:50.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":1892,"name":"Monash University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10650,"fairsharing_record_id":2451,"organisation_id":150,"relation":"maintains","created_at":"2023-06-08T10:06:14.917Z","updated_at":"2023-06-08T10:06:14.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":150,"name":"Australian Research Data Commons","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2452","type":"fairsharing_records","attributes":{"created_at":"2017-04-28T20:35:03.000Z","updated_at":"2024-03-21T13:58:03.378Z","metadata":{"doi":"10.25504/FAIRsharing.t2e1ss","name":"Harvard Dataverse Repository","status":"ready","contacts":[{"contact_name":"Harvard Dataverse Support","contact_email":"support@dataverse.harvard.edu","contact_orcid":null}],"homepage":"https://dataverse.harvard.edu","citations":[],"identifier":2452,"description":"Harvard Dataverse Repository is a research data repository running on the open source Dataverse software. The repository is fully open to the public, allows upload and browsing of data from all fields of research, and is free for all researchers worldwide.\n\nHarvard Dataverse Repository receives support from Harvard University, public and private grants, and an emergent consortium model.","abbreviation":null,"data_curation":{"url":"https://support.dataverse.harvard.edu/curation-services","type":"manual/automated","notes":"Curation and Data Management Services"},"support_links":[{"url":"https://dataverse.org/blog","name":"Blog","type":"Blog/News"},{"url":"http://guides.dataverse.org/en/latest/user/","name":"Dataverse User Guide","type":"Help documentation"},{"url":"https://twitter.com/dataverseorg","name":"@dataverseorg","type":"Twitter"},{"url":"https://support.dataverse.harvard.edu/","name":"Support website","type":"Help documentation"},{"url":"https://dataverse.org/best-practices/data-citation","name":"Data Citation Best Practices","type":"Help documentation"}],"year_creation":1999,"data_versioning":"yes","associated_tools":[{"url":"https://guides.dataverse.org/en/latest/admin/external-tools.html","name":"External Tools"}],"cross_references":[{"url":"http://doi.org/10.17616/R3C880","name":"re3data:r3d100010051","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001997","name":"SciCrunch:RRID:SCR_001997","portal":"SciCrunch"}],"data_access_condition":{"type":"open","notes":"https://guides.dataverse.org/en/5.13/user/find-use-data.html"},"resource_sustainability":{"url":"https://www.iq.harvard.edu/roadmap-dataverse-project","name":"Roadmap: The Dataverse Project Strategic Goals"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://support.dataverse.harvard.edu/harvard-dataverse-preservation-policy","name":"Preservation Policy"},"data_deposition_condition":{"url":"https://support.dataverse.harvard.edu/harvard-dataverse-general-terms-use","type":"open","notes":"User account registration required. Upload limit of 2.5 GB; 1 TB storage space per researcher."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000934","bsg-d000934"],"name":"FAIRsharing record for: Harvard Dataverse Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.t2e1ss","doi":"10.25504/FAIRsharing.t2e1ss","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Harvard Dataverse Repository is a research data repository running on the open source Dataverse software. The repository is fully open to the public, allows upload and browsing of data from all fields of research, and is free for all researchers worldwide.\n\nHarvard Dataverse Repository receives support from Harvard University, public and private grants, and an emergent consortium model.","linked_records":[],"linking_records":[{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12924},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12933},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15080}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Experimental measurement","Protocol"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":467,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":464,"relation":"undefined"},{"licence_name":"Harvard Dataverse API Terms of Use","licence_id":378,"licence_url":"https://dataverse.org/best-practices/harvard-api-tou","link_id":459,"relation":"undefined"},{"licence_name":"Harvard Dataverse General Terms of Use","licence_id":379,"licence_url":"https://dataverse.org/best-practices/harvard-dataverse-general-terms-use","link_id":453,"relation":"undefined"},{"licence_name":"Harvard Dataverse Preservation Policy","licence_id":380,"licence_url":"https://dataverse.org/best-practices/harvard-dataverse-preservation-policy","link_id":455,"relation":"undefined"},{"licence_name":"Harvard Dataverse Privacy Policy","licence_id":381,"licence_url":"https://dataverse.org/best-practices/harvard-dataverse-privacy-policy","link_id":446,"relation":"undefined"}],"grants":[{"id":2625,"fairsharing_record_id":2452,"organisation_id":1239,"relation":"maintains","created_at":"2021-09-30T09:25:50.272Z","updated_at":"2021-09-30T09:25:50.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":1239,"name":"Henry A. Murray Research Archives","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2628,"fairsharing_record_id":2452,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:50.397Z","updated_at":"2021-09-30T09:25:50.397Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2631,"fairsharing_record_id":2452,"organisation_id":1216,"relation":"funds","created_at":"2021-09-30T09:25:50.515Z","updated_at":"2021-09-30T09:25:50.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2627,"fairsharing_record_id":2452,"organisation_id":1706,"relation":"funds","created_at":"2021-09-30T09:25:50.356Z","updated_at":"2021-09-30T09:25:50.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":1706,"name":"Leona M. and Harry B. Helmsley Charitable Trust, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2630,"fairsharing_record_id":2452,"organisation_id":2763,"relation":"maintains","created_at":"2021-09-30T09:25:50.473Z","updated_at":"2021-09-30T09:25:50.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2763,"name":"The Dataverse Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2632,"fairsharing_record_id":2452,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:50.556Z","updated_at":"2021-09-30T09:25:50.556Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11526,"fairsharing_record_id":2452,"organisation_id":2788,"relation":"maintains","created_at":"2024-03-21T13:58:02.046Z","updated_at":"2024-03-21T13:58:02.046Z","grant_id":null,"is_lead":false,"saved_state":{"id":2788,"name":"The Institute for Quantitative Social Service, Harvard University","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9378,"fairsharing_record_id":2452,"organisation_id":54,"relation":"funds","created_at":"2022-04-11T12:07:34.301Z","updated_at":"2022-04-11T12:07:34.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":54,"name":"Alfred P. Sloan Foundation, New York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3c8241aa5d8bbb73ddbc3e105cffcce500b49d1c/logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2453","type":"fairsharing_records","attributes":{"created_at":"2017-05-01T10:47:29.000Z","updated_at":"2023-06-23T09:50:28.178Z","metadata":{"doi":"10.25504/FAIRsharing.3epmpp","name":"Mendeley Data","status":"ready","contacts":[{"contact_name":"Luca Belletti","contact_email":"l.belletti@elsevier.com","contact_orcid":"0000-0000-0000-0000"}],"homepage":"https://data.mendeley.com","citations":[],"identifier":2453,"description":"Mendeley Data is a multidisciplinary, free-to-use open repository specialised for research data. Files of any format can be uploaded and shared with the research community following the FAIR data principles, up to a maximum of 10GB per dataset. Each version of a dataset is given a unique DOI, and dark archived with DANS (Data Archiving and Networking Services), ensuring that every dataset and citation will be valid in perpetuity. Datasets can be licensed under a range of open licences, and datasets are and will continue to be free access. Mendeley Data supports embargoing of data both generally and while undergoing peer review. It is funded by a subscription model for Academic \u0026 Government entities.","abbreviation":"Mendeley Data","data_curation":{"url":"https://data.mendeley.com/about","type":"manual","notes":"Digital Commons Data supports curation of datasets by institutional librarians and data stewards. Users can establish a custom metadata template with fields for all datasets."},"support_links":[{"url":"https://data.mendeley.com/faq#mendeley-data","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://data.mendeley.com/file-formats","name":"Supported File Formats","type":"Help documentation"},{"url":"https://service.elsevier.com/app/contact/supporthub/mendeley","name":"Contact Form","type":"Contact form"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://www.elsevier.com/solutions/data-monitor","name":"Data Monitor"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011868","name":"re3data:r3d100011868","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_015671","name":"SciCrunch:RRID:SCR_015671","portal":"SciCrunch"}],"data_access_condition":{"url":"https://data.mendeley.com/accessibility","type":"open","notes":"Open or restricted access to dataset contents; provides embargo support."},"resource_sustainability":{"url":"https://data.mendeley.com/mission","name":"Digital Commons Data Repository Platform"},"data_contact_information":"no","data_preservation_policy":{"url":"https://data.mendeley.com/archive-process","name":"Long-term preservation of data, all published datasets are stored with a third-party archive, Data Archiving and Network Services (DANS). Long-term access in the event of cease of operations is granted by DANS for free in perpetuity. Access to archival datasets are provided for free in perpetuity."},"data_deposition_condition":{"url":"https://www.mendeley.com/terms/#3_Acceptable_Use","type":"controlled","notes":"Requires authenticated registration for deposit (accepts institution Ringgold IDs). Total file size limit of 10 GB per dataset. Storage space per researcher is unlimited."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000935","bsg-d000935"],"name":"FAIRsharing record for: Mendeley Data","abbreviation":"Mendeley Data","url":"https://fairsharing.org/10.25504/FAIRsharing.3epmpp","doi":"10.25504/FAIRsharing.3epmpp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mendeley Data is a multidisciplinary, free-to-use open repository specialised for research data. Files of any format can be uploaded and shared with the research community following the FAIR data principles, up to a maximum of 10GB per dataset. Each version of a dataset is given a unique DOI, and dark archived with DANS (Data Archiving and Networking Services), ensuring that every dataset and citation will be valid in perpetuity. Datasets can be licensed under a range of open licences, and datasets are and will continue to be free access. Mendeley Data supports embargoing of data both generally and while undergoing peer review. It is funded by a subscription model for Academic \u0026 Government entities.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10819},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12925}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic","Data Visualization"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":733,"relation":"undefined"},{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":729,"relation":"undefined"},{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":730,"relation":"undefined"},{"licence_name":"CeCILL-B","licence_id":111,"licence_url":"https://cecill.info/licences/Licence_CeCILL-B_V1-en.html","link_id":741,"relation":"undefined"},{"licence_name":"CERN OHL","licence_id":118,"licence_url":"https://ohwr.org/cernohl","link_id":743,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":724,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":726,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":723,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":737,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":736,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":738,"relation":"undefined"},{"licence_name":"Mendeley Terms of Use","licence_id":504,"licence_url":"https://data.mendeley.com/terms/","link_id":721,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":728,"relation":"undefined"},{"licence_name":"Mozilla Public Licence Version 2.0 (MPL 2.0)","licence_id":524,"licence_url":"https://www.mozilla.org/en-US/MPL/2.0/","link_id":739,"relation":"undefined"},{"licence_name":"TAPR OHL","licence_id":771,"licence_url":"https://tapr.org/the-tapr-open-hardware-license/","link_id":744,"relation":"undefined"}],"grants":[{"id":9204,"fairsharing_record_id":2453,"organisation_id":850,"relation":"maintains","created_at":"2022-04-11T12:07:21.931Z","updated_at":"2022-04-11T12:07:21.931Z","grant_id":null,"is_lead":true,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2485","type":"fairsharing_records","attributes":{"created_at":"2017-07-18T21:03:56.000Z","updated_at":"2023-12-15T10:32:48.872Z","metadata":{"doi":"10.25504/FAIRsharing.szj2xw","name":"Health and Medical Care Archive","status":"ready","contacts":[{"contact_name":"Sara Britt","contact_email":"hmca@icpsr.umich.edu"}],"homepage":"https://www.icpsr.umich.edu/web/pages/HMCA/index.html","identifier":2485,"description":"The Health and Medical Care Archive (HMCA) is the data archive of the Robert Wood Johnson Foundation (RWJF), the largest philanthropy devoted exclusively to health and health care in the United States. Operated by the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan with funding from RWJF, HMCA preserves and disseminates data collected by selected research projects funded by RWJF and facilitates secondary analyses of the data. The data collections in HMCA primarily includes large-scale surveys of the American public about public health, attitudes towards health reform, and access to medical care; surveys of health care professionals and organizations, public health professionals, and nurses; evaluations of innovative programs for the delivery of health care, and many other topics and populations of interest. Our goal is to build a culture of health by increasing the understanding of health and health care and the factors that contribute to health in the United States through secondary analysis of RWJF-supported data collections.","abbreviation":"HMCA","data_curation":{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/deposit.html","type":"manual"},"support_links":[{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/faq.html","name":"Get Help","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/deposit-tips.html","name":"Tips for Preparing Data for Deposit","type":"Help documentation"}],"year_creation":1985,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010257","name":"re3data:r3d100010257","portal":"re3data"}],"data_access_condition":{"url":"https://www.icpsr.umich.edu/web/HMCA/cms/2048","type":"partially open","notes":"To access data files, users must login to ICPSR. Documentation files do not require users to log in. Restricted data access requires a specific application."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/deposit.html","type":"open","notes":"Self publication and curated data deposit are the two submission options."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000967","bsg-d000967"],"name":"FAIRsharing record for: Health and Medical Care Archive","abbreviation":"HMCA","url":"https://fairsharing.org/10.25504/FAIRsharing.szj2xw","doi":"10.25504/FAIRsharing.szj2xw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Health and Medical Care Archive (HMCA) is the data archive of the Robert Wood Johnson Foundation (RWJF), the largest philanthropy devoted exclusively to health and health care in the United States. Operated by the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan with funding from RWJF, HMCA preserves and disseminates data collected by selected research projects funded by RWJF and facilitates secondary analyses of the data. The data collections in HMCA primarily includes large-scale surveys of the American public about public health, attitudes towards health reform, and access to medical care; surveys of health care professionals and organizations, public health professionals, and nurses; evaluations of innovative programs for the delivery of health care, and many other topics and populations of interest. Our goal is to build a culture of health by increasing the understanding of health and health care and the factors that contribute to health in the United States through secondary analysis of RWJF-supported data collections.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12781}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Public Health","Health Science","Primary Health Care","Community Care"],"domains":["Substance abuse","Resource collection","Behavior","Curated information","Nurse","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2694,"fairsharing_record_id":2485,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:25:52.732Z","updated_at":"2021-09-30T09:25:52.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2695,"fairsharing_record_id":2485,"organisation_id":2454,"relation":"funds","created_at":"2021-09-30T09:25:52.774Z","updated_at":"2021-09-30T09:30:23.214Z","grant_id":688,"is_lead":false,"saved_state":{"id":2454,"name":"Robert Wood Johnson Foundation","grant":"75220","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2486","type":"fairsharing_records","attributes":{"created_at":"2017-07-18T21:25:13.000Z","updated_at":"2023-06-23T11:11:36.292Z","metadata":{"doi":"10.25504/FAIRsharing.v4mara","name":"Data Sharing for Demographic Research","status":"ready","contacts":[{"contact_name":"John Marcotte","contact_email":"jemarcot@umich.edu"}],"homepage":"http://dsdr.icpsr.umich.edu/","identifier":2486,"description":"Data Sharing for Demographic Research (DSDR) supports the demographic community by disseminating, archiving, and preserving data relevant for population studies. The mission of DSDR is to serve as a locus of information for researchers who collect, analyze, and distribute primary data as well as researchers who analyze secondary data. DSDR aims to foster interdisciplinary collaborations between Demography and other disciplines. DSDR is located within ICPSR and supported by the Population Dynamics Branch (PDB) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (U24 HD048404).","abbreviation":"DSDR","data_curation":{"url":"https://www.icpsr.umich.edu/web/pages/DSDR/deposit.html#after","type":"manual"},"support_links":[{"url":"http://www.icpsr.umich.edu/icpsrweb/content/DSDR/help.html","name":"Help FAQs and User Support","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010256","name":"re3data:r3d100010256","portal":"re3data"}],"data_access_condition":{"url":"https://www.icpsr.umich.edu/web/DSDR/cms/2010","type":"partially open","notes":"Some datasets have restricted availability for confidential reasons."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/DSDR/deposit.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000968","bsg-d000968"],"name":"FAIRsharing record for: Data Sharing for Demographic Research","abbreviation":"DSDR","url":"https://fairsharing.org/10.25504/FAIRsharing.v4mara","doi":"10.25504/FAIRsharing.v4mara","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Sharing for Demographic Research (DSDR) supports the demographic community by disseminating, archiving, and preserving data relevant for population studies. The mission of DSDR is to serve as a locus of information for researchers who collect, analyze, and distribute primary data as well as researchers who analyze secondary data. DSDR aims to foster interdisciplinary collaborations between Demography and other disciplines. DSDR is located within ICPSR and supported by the Population Dynamics Branch (PDB) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (U24 HD048404).","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10820},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12782}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Social Science","Population Dynamics","Data Management"],"domains":["Behavior","Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2696,"fairsharing_record_id":2486,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:25:52.815Z","updated_at":"2021-09-30T09:25:52.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2698,"fairsharing_record_id":2486,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:52.887Z","updated_at":"2021-09-30T09:29:53.196Z","grant_id":451,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"U24 HD048404","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9167,"fairsharing_record_id":2486,"organisation_id":2347,"relation":"funds","created_at":"2022-04-11T12:07:18.840Z","updated_at":"2022-04-11T12:07:18.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":2347,"name":"Population Dynamics Branch, The Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2487","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T09:30:51.000Z","updated_at":"2023-12-15T10:32:55.073Z","metadata":{"doi":"10.25504/FAIRsharing.k297hk","name":"Ocean Biodiversity Information System IPT","status":"ready","contacts":[{"contact_name":"Ward Appeltans","contact_email":"w.appeltans@unesco.org"}],"homepage":"http://ipt.vliz.be/","identifier":2487,"description":"OBIS provides data hosting and helpdesk support to publishers of marine data around the globe. EurOBIS/Flanders Marine Institute (VLIZ) hosts multiple IPT installations on behalf of various OBIS Nodes. Currently, there are more than 20 OBIS Nodes around the world connecting 500 institutions from 56 countries.","abbreviation":"OBIS IPT","data_curation":{"type":"none"},"support_links":[{"url":"http://www.iobis.org/feed.xml","type":"Blog/News"},{"url":"https://twitter.com/obisnetwork","name":"@obisnetwork","type":"Twitter"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000969","bsg-d000969"],"name":"FAIRsharing record for: Ocean Biodiversity Information System IPT","abbreviation":"OBIS IPT","url":"https://fairsharing.org/10.25504/FAIRsharing.k297hk","doi":"10.25504/FAIRsharing.k297hk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OBIS provides data hosting and helpdesk support to publishers of marine data around the globe. EurOBIS/Flanders Marine Institute (VLIZ) hosts multiple IPT installations on behalf of various OBIS Nodes. Currently, there are more than 20 OBIS Nodes around the world connecting 500 institutions from 56 countries.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11668}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Marine environment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2201,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2198,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2200,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2199,"relation":"undefined"}],"grants":[{"id":2699,"fairsharing_record_id":2487,"organisation_id":2207,"relation":"maintains","created_at":"2021-09-30T09:25:52.924Z","updated_at":"2021-09-30T09:25:52.924Z","grant_id":null,"is_lead":false,"saved_state":{"id":2207,"name":"OBIS","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2488","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T18:07:55.000Z","updated_at":"2024-04-09T08:52:01.662Z","metadata":{"doi":"10.25504/FAIRsharing.6bvac4","name":"China Data Center","status":"deprecated","contacts":[{"contact_name":"Ling Ling Zhang","contact_email":"llzhang@umich.edu"}],"homepage":"http://chinadatacenter.org/","citations":[],"identifier":2488,"description":"Founded in 1997, the China Data Center was designed to serve as an international center for advancing the study and understanding of China. A primary goal of the Center was the integration of historical, social and natural science data in a geographic information system. Its missions were: to support research in the human and natural components of local, regional and global change; to promote quantitative research on China; to promote collaborative research in spatial studies; and to promote the use and sharing of China data in teaching and research. The center was partnered with several Chinese government agencies and companies in distributing China statistical data and publications and providing data services outside of China. Building upon other efforts, including the China in Time and Space project, the Center brought together data inaccessible to many scholars because of format and language difficulty. A fundamental role of the Center was the development of cooperative endeavors with China, with other universities, and institutions around the world.","abbreviation":"CDC","data_curation":{"type":"not found"},"year_creation":1997,"data_versioning":"not found","deprecation_date":"2018-10-11","deprecation_reason":"As stated in an announcement on the CDC homepage, the CDC website and associated CDC websites are no longer available. Following a comprehensive internal review, the ICPSR and the University of Michigan have determined that they will no longer host the CDC and its related websites and tools. CDC customers with subscription periods running beyond September 2018 will be contacted in the coming weeks to begin the process of refunding prepaid (prorated) amounts. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000970","bsg-d000970"],"name":"FAIRsharing record for: China Data Center","abbreviation":"CDC","url":"https://fairsharing.org/10.25504/FAIRsharing.6bvac4","doi":"10.25504/FAIRsharing.6bvac4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Founded in 1997, the China Data Center was designed to serve as an international center for advancing the study and understanding of China. A primary goal of the Center was the integration of historical, social and natural science data in a geographic information system. Its missions were: to support research in the human and natural components of local, regional and global change; to promote quantitative research on China; to promote collaborative research in spatial studies; and to promote the use and sharing of China data in teaching and research. The center was partnered with several Chinese government agencies and companies in distributing China statistical data and publications and providing data services outside of China. Building upon other efforts, including the China in Time and Space project, the Center brought together data inaccessible to many scholars because of format and language difficulty. A fundamental role of the Center was the development of cooperative endeavors with China, with other universities, and institutions around the world.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social Science"],"domains":["Geographical location"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["China","United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2489","type":"fairsharing_records","attributes":{"created_at":"2017-07-24T12:59:31.000Z","updated_at":"2023-12-15T10:32:34.448Z","metadata":{"doi":"10.25504/FAIRsharing.5nnxqn","name":"eyeGENE: The National Ophthalmic Genotyping and Phenotyping Network","status":"ready","contacts":[{"contact_name":"Kerry Goetz","contact_email":"goetzke@nei.nih.gov","contact_orcid":"0000-0002-9821-7704"}],"homepage":"https://eyegene.nih.gov","identifier":2489,"description":"The National Ophthalmic Disease Genotyping and Phenotyping Network (eyeGENE®) is a genomic medicine initiative created by the National Eye Institute (NEI), part of the National Institutes of Health (NIH), in partnership with clinics and laboratories across the vision research community. The core mission of eyeGENE® is to facilitate research into the causes and mechanisms of rare inherited eye diseases and accelerate pathways to treatments. eyeGENE® was designed to achieve this goal through clinical and molecular diagnosis coupled with granting controlled access to clinical and genetic information in a data repository, to DNA in a biorepository, and to individuals consented to participate in research and clinical trials. The eyeGENE® Network currently includes a Coordinating Center at the NEI, CLIA†-approved molecular genetic testing laboratories around the Nation, a patient registry, controlled-access centralized biorepository for DNA, and a curated de-identified genotype / phenotype database. These components stimulate patient and eye health care provider interest in genetics-based clinical care and generate involvement in ophthalmic research, thereby accelerating vision research and treatment development for these diseases.","abbreviation":"eyeGENE","data_curation":{"url":"https://eyegene.nih.gov/how-to/contribute-data","type":"manual/automated","notes":"Data validation tool is used to ensure data quality."},"support_links":[{"url":"https://eyegene.nih.gov/news","name":"News","type":"Blog/News"},{"url":"https://eyegene.nih.gov/about/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://eyegene.nih.gov/how-to/get-an-account","name":"How to get an account","type":"Help documentation"},{"url":"https://eyegene.nih.gov/how-to/access-data","name":"How to access data","type":"Help documentation"},{"url":"https://eyegene.nih.gov/news/webinars","name":"Webinars","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012836","name":"re3data:r3d100012836","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004523","name":"SciCrunch:RRID:SCR_004523","portal":"SciCrunch"}],"data_access_condition":{"url":"https://eyegene.nih.gov/how-to/access-data","type":"controlled","notes":"Log in and data access request(s) are required."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://eyegene.nih.gov/how-to/contribute-data","type":"controlled","notes":"Log in and data submission request are required."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000971","bsg-d000971"],"name":"FAIRsharing record for: eyeGENE: The National Ophthalmic Genotyping and Phenotyping Network","abbreviation":"eyeGENE","url":"https://fairsharing.org/10.25504/FAIRsharing.5nnxqn","doi":"10.25504/FAIRsharing.5nnxqn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Ophthalmic Disease Genotyping and Phenotyping Network (eyeGENE®) is a genomic medicine initiative created by the National Eye Institute (NEI), part of the National Institutes of Health (NIH), in partnership with clinics and laboratories across the vision research community. The core mission of eyeGENE® is to facilitate research into the causes and mechanisms of rare inherited eye diseases and accelerate pathways to treatments. eyeGENE® was designed to achieve this goal through clinical and molecular diagnosis coupled with granting controlled access to clinical and genetic information in a data repository, to DNA in a biorepository, and to individuals consented to participate in research and clinical trials. The eyeGENE® Network currently includes a Coordinating Center at the NEI, CLIA†-approved molecular genetic testing laboratories around the Nation, a patient registry, controlled-access centralized biorepository for DNA, and a curated de-identified genotype / phenotype database. These components stimulate patient and eye health care provider interest in genetics-based clinical care and generate involvement in ophthalmic research, thereby accelerating vision research and treatment development for these diseases.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12783}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Medicine","Ophthalmology","Human Genetics","Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2682,"pubmed_id":23662816,"title":"eyeGENE(R): a vision community resource facilitating patient care and paving the path for research through molecular diagnostic testing.","year":2013,"url":"http://doi.org/10.1111/cge.12193","authors":"Blain D,Goetz KE,Ayyagari R,Tumminia SJ","journal":"Clin Genet","doi":"10.1111/cge.12193","created_at":"2021-09-30T08:27:29.372Z","updated_at":"2021-09-30T08:27:29.372Z"},{"id":2683,"pubmed_id":19534233,"title":"EyeGENE--National Ophthalmic Disease Genotyping Network.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19534233","authors":"No authors listed","journal":"Insight","doi":null,"created_at":"2021-09-30T08:27:29.487Z","updated_at":"2021-09-30T11:28:37.484Z"},{"id":2684,"pubmed_id":22847030,"title":"eyeGENE(R): a novel approach to combine clinical testing and researching genetic ocular disease.","year":2012,"url":"http://doi.org/10.1097/ICU.0b013e32835715c9","authors":"Goetz KE,Reeves MJ,Tumminia SJ,Brooks BP","journal":"Curr Opin Ophthalmol","doi":"10.1097/ICU.0b013e32835715c9","created_at":"2021-09-30T08:27:29.737Z","updated_at":"2021-09-30T08:27:29.737Z"}],"licence_links":[],"grants":[{"id":2700,"fairsharing_record_id":2489,"organisation_id":2112,"relation":"maintains","created_at":"2021-09-30T09:25:52.963Z","updated_at":"2021-09-30T09:25:52.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2474","type":"fairsharing_records","attributes":{"created_at":"2017-07-04T09:14:23.000Z","updated_at":"2023-12-15T10:30:54.606Z","metadata":{"doi":"10.25504/FAIRsharing.7tx9zj","name":"Sweden IPT - GBIF Sweden","status":"ready","contacts":[{"contact_name":"Anders Telenius","contact_email":"anders.telenius@nrm.se","contact_orcid":"0000-0003-4477-1117"}],"homepage":"http://www.gbif.se/ipt","identifier":2474,"description":"GBIF-Sweden serves researchers, public authorities and others interested in biodiversity as the Swedish hub for information and international exchange of data on the biological diversity of the world. The ambition of GBIF-Sweden is to continuously harvest and publicly present up-to-date biodiversity data hosted by Swedish institutions and government authorities to stakeholders around the world through the international GBIF portal, in accordance with Swedish commitments under the international GBIF agreement. Where appropriate, GBIF-Sweden also aims to accumulate information about Swedish biodiversity kept elsewhere in the world and provide it to Swedish stakeholders in an appropriate form. Finally, GBIF-Sweden aims to play a leading role in stimulating digitization efforts aimed at increasing the quantity and quality of content provided to GBIF from Swedish institutions.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"gbif@nrm.se","name":"GBIF Sweden","type":"Support email"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"},{"url":"https://twitter.com/gbifsweden","name":"@gbifsweden","type":"Twitter"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000956","bsg-d000956"],"name":"FAIRsharing record for: Sweden IPT - GBIF Sweden","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7tx9zj","doi":"10.25504/FAIRsharing.7tx9zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF-Sweden serves researchers, public authorities and others interested in biodiversity as the Swedish hub for information and international exchange of data on the biological diversity of the world. The ambition of GBIF-Sweden is to continuously harvest and publicly present up-to-date biodiversity data hosted by Swedish institutions and government authorities to stakeholders around the world through the international GBIF portal, in accordance with Swedish commitments under the international GBIF agreement. Where appropriate, GBIF-Sweden also aims to accumulate information about Swedish biodiversity kept elsewhere in the world and provide it to Swedish stakeholders in an appropriate form. Finally, GBIF-Sweden aims to play a leading role in stimulating digitization efforts aimed at increasing the quantity and quality of content provided to GBIF from Swedish institutions.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11661}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1556,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1238,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1554,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1553,"relation":"undefined"}],"grants":[{"id":2681,"fairsharing_record_id":2474,"organisation_id":1096,"relation":"maintains","created_at":"2021-09-30T09:25:52.140Z","updated_at":"2021-09-30T09:25:52.140Z","grant_id":null,"is_lead":false,"saved_state":{"id":1096,"name":"GBIF Sweden","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2475","type":"fairsharing_records","attributes":{"created_at":"2017-07-05T12:32:59.000Z","updated_at":"2023-12-15T10:30:10.761Z","metadata":{"doi":"10.25504/FAIRsharing.y2vm4r","name":"Taiwan Biodiversity Information Facility IPT - GBIF Taiwan","status":"ready","contacts":[{"contact_name":"Kun-Chi Lai","contact_email":"east0122@gate.sinica.edu.tw"}],"homepage":"http://ipt.taibif.tw/","identifier":2475,"description":"TaiBIF (Taiwan Biodiversity Information Facility) is the Taiwan portal of GBIF. Although Taiwan’s land is not spacious, it possesses extraordinarily abundant biodiversity resources and many endemic species. TaiBIF is in charge of integrating Taiwan's biodiversity information, including lists of species and local experts, illustrations of species, introduction of endemic species and invasive species, Taiwan's terrestrial and marine organisms, biodiversity literature, geographical and environmental information, information about relevant institutions, organizations, projects, and observation spots, the Catalog of Life (a list of Taiwanese endemic species), and publications.","abbreviation":"TaiBIF IPT - GBIF Taiwan","data_curation":{"type":"manual"},"support_links":[{"url":"yuhuangwang@gmail.com","name":"Yu-Huang Wang","type":"Support email"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011310","name":"re3data:r3d100011310","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000957","bsg-d000957"],"name":"FAIRsharing record for: Taiwan Biodiversity Information Facility IPT - GBIF Taiwan","abbreviation":"TaiBIF IPT - GBIF Taiwan","url":"https://fairsharing.org/10.25504/FAIRsharing.y2vm4r","doi":"10.25504/FAIRsharing.y2vm4r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TaiBIF (Taiwan Biodiversity Information Facility) is the Taiwan portal of GBIF. Although Taiwan’s land is not spacious, it possesses extraordinarily abundant biodiversity resources and many endemic species. TaiBIF is in charge of integrating Taiwan's biodiversity information, including lists of species and local experts, illustrations of species, introduction of endemic species and invasive species, Taiwan's terrestrial and marine organisms, biodiversity literature, geographical and environmental information, information about relevant institutions, organizations, projects, and observation spots, the Catalog of Life (a list of Taiwanese endemic species), and publications.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11662}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":90,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":86,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":89,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":87,"relation":"undefined"}],"grants":[{"id":2682,"fairsharing_record_id":2475,"organisation_id":2700,"relation":"maintains","created_at":"2021-09-30T09:25:52.182Z","updated_at":"2021-09-30T09:25:52.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":2700,"name":"Taiwan Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2479","type":"fairsharing_records","attributes":{"created_at":"2017-07-05T12:52:14.000Z","updated_at":"2024-06-04T09:15:43.302Z","metadata":{"doi":"10.25504/FAIRsharing.x4zrrg","name":"VertNet IPT","status":"ready","contacts":[{"contact_name":"Laura Russell","contact_email":"larussell@vertnet.org"}],"homepage":"https://ipt.vertnet.org/","citations":[],"identifier":2479,"description":"VertNet uses the Integrated Publishing Toolkit (IPT) to host published biodiversity data on the VertNet IPT for its participating institutions. The IPT is a free, open source web application designed to publish primary occurrence data, species checklists and taxonomies, and associated dataset metadata available for use on the Internet. Data are published as web-based Darwin Core Archives (simple ZIP files that contain tab-delimited or comma-separated text files organized using the Darwin Core Standard).","abbreviation":"VertNet IPT","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/gbif/ipt/issues","name":"Report a bug","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000961","bsg-d000961"],"name":"FAIRsharing record for: VertNet IPT","abbreviation":"VertNet IPT","url":"https://fairsharing.org/10.25504/FAIRsharing.x4zrrg","doi":"10.25504/FAIRsharing.x4zrrg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VertNet uses the Integrated Publishing Toolkit (IPT) to host published biodiversity data on the VertNet IPT for its participating institutions. The IPT is a free, open source web application designed to publish primary occurrence data, species checklists and taxonomies, and associated dataset metadata available for use on the Internet. Data are published as web-based Darwin Core Archives (simple ZIP files that contain tab-delimited or comma-separated text files organized using the Darwin Core Standard).","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11666}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1020,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1015,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1019,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1017,"relation":"undefined"}],"grants":[{"id":2686,"fairsharing_record_id":2479,"organisation_id":3182,"relation":"maintains","created_at":"2021-09-30T09:25:52.340Z","updated_at":"2021-09-30T09:25:52.340Z","grant_id":null,"is_lead":false,"saved_state":{"id":3182,"name":"VertNet","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2480","type":"fairsharing_records","attributes":{"created_at":"2017-07-13T01:56:29.000Z","updated_at":"2024-05-01T15:27:19.412Z","metadata":{"doi":"10.25504/FAIRsharing.tfj7gt","name":"EPA Comptox Chemicals Dashboard","status":"ready","contacts":[{"contact_name":"Antony Williams","contact_email":"williams.antony@epa.gov","contact_orcid":"0000-0002-2668-4821"}],"homepage":"https://comptox.epa.gov/dashboard","citations":[{"doi":"10.1186/s13321-017-0247-6","pubmed_id":null,"publication_id":4272}],"identifier":2480,"description":"The foundation of chemical safety testing relies on chemistry information such as high-quality chemical structures and physical chemical properties. This information is used by scientists to predict the potential health risks of chemicals. The Dashboard is part of a suite of dashboards developed by EPA to help evaluate the safety of chemicals. It provides access to a variety of information on over 700,000 chemicals currently in use. Within the Dashboard, users can access chemical structures, experimental and predicted physicochemical and toxicity data, and additional links to relevant websites and applications. It maps curated physicochemical property data associated with chemical substances to their corresponding chemical structures. These data are compiled from sources including the EPA’s computational toxicology research databases, and public domain databases such as the National Center for Biotechnology Information’s PubChem database.","abbreviation":null,"data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://comptox.epa.gov/dashboard/contact_us","name":"Contact Us","type":"Contact form"},{"url":"https://www.epa.gov/comptox-tools/comptox-chemicals-dashboard-help","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"https://itunes.apple.com/us/app/comptox-mobile/id1179517689?mt=8","name":"CompTox Mobile 1"},{"url":"https://itunes.apple.com/us/app/m-z-epa-comptox/id1148436331?mt=8","name":"m/Z EPA CompTox 1"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000962","bsg-d000962"],"name":"FAIRsharing record for: EPA Comptox Chemicals Dashboard","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tfj7gt","doi":"10.25504/FAIRsharing.tfj7gt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The foundation of chemical safety testing relies on chemistry information such as high-quality chemical structures and physical chemical properties. This information is used by scientists to predict the potential health risks of chemicals. The Dashboard is part of a suite of dashboards developed by EPA to help evaluate the safety of chemicals. It provides access to a variety of information on over 700,000 chemicals currently in use. Within the Dashboard, users can access chemical structures, experimental and predicted physicochemical and toxicity data, and additional links to relevant websites and applications. It maps curated physicochemical property data associated with chemical substances to their corresponding chemical structures. These data are compiled from sources including the EPA’s computational toxicology research databases, and public domain databases such as the National Center for Biotechnology Information’s PubChem database.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11787},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16492}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Toxicology","Chemistry"],"domains":["Environmental contaminant","Spectroscopy","Bioactivity","Exposure"],"taxonomies":["Not applicable"],"user_defined_tags":["Physical properties"],"countries":["United States"],"publications":[{"id":35,"pubmed_id":26812473,"title":"Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring.","year":2016,"url":"http://doi.org/S0160-4120(15)30111-2","authors":"Rager JE,Strynar MJ,Liang S,McMahen RL,Richard AM,Grulke CM,Wambaugh JF,Isaacs KK,Judson R,Williams AJ,Sobus JR","journal":"Environ Int","doi":"10.1016/j.envint.2015.12.008","created_at":"2021-09-30T08:22:24.088Z","updated_at":"2021-09-30T08:22:24.088Z"},{"id":2149,"pubmed_id":28475325,"title":"Open Science for Identifying \"Known Unknown\" Chemicals.","year":2017,"url":"http://doi.org/10.1021/acs.est.7b01908","authors":"Schymanski EL,Williams AJ","journal":"Environ Sci Technol","doi":"10.1021/acs.est.7b01908","created_at":"2021-09-30T08:26:22.169Z","updated_at":"2021-09-30T08:26:22.169Z"},{"id":2157,"pubmed_id":27367298,"title":"ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology.","year":2016,"url":"http://doi.org/10.1021/acs.chemrestox.6b00135","authors":"Richard AM,Judson RS,Houck KA,Grulke CM,Volarath P,Thillainadarajah I,Yang C,Rathman J,Martin MT,Wambaugh JF,Knudsen TB,Kancherla J,Mansouri K,Patlewicz G,Williams AJ,Little SB,Crofton KM,Thomas RS","journal":"Chem Res Toxicol","doi":"10.1021/acs.chemrestox.6b00135","created_at":"2021-09-30T08:26:23.175Z","updated_at":"2021-09-30T08:26:23.175Z"},{"id":2178,"pubmed_id":27885862,"title":"An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modelling.","year":2016,"url":"http://doi.org/10.1080/1062936X.2016.1253611","authors":"Mansouri K,Grulke CM,Richard AM,Judson RS,Williams AJ","journal":"SAR QSAR Environ Res","doi":"10.1080/1062936X.2016.1253611","created_at":"2021-09-30T08:26:25.484Z","updated_at":"2021-09-30T08:26:25.484Z"},{"id":2181,"pubmed_id":27987027,"title":"Identifying known unknowns using the US EPA's CompTox Chemistry Dashboard.","year":2016,"url":"http://doi.org/10.1007/s00216-016-0139-z","authors":"McEachran AD,Sobus JR,Williams AJ","journal":"Anal Bioanal Chem","doi":"10.1007/s00216-016-0139-z","created_at":"2021-09-30T08:26:25.898Z","updated_at":"2021-09-30T08:26:25.898Z"},{"id":4272,"pubmed_id":null,"title":"The CompTox Chemistry Dashboard: a community data resource for environmental chemistry","year":2017,"url":"http://dx.doi.org/10.1186/s13321-017-0247-6","authors":"Williams, Antony J.; Grulke, Christopher M.; Edwards, Jeff; McEachran, Andrew D.; Mansouri, Kamel; Baker, Nancy C.; Patlewicz, Grace; Shah, Imran; Wambaugh, John F.; Judson, Richard S.; Richard, Ann M.; ","journal":"J Cheminform","doi":"10.1186/s13321-017-0247-6","created_at":"2024-05-01T15:25:53.393Z","updated_at":"2024-05-01T15:25:53.393Z"}],"licence_links":[],"grants":[{"id":2687,"fairsharing_record_id":2480,"organisation_id":2950,"relation":"maintains","created_at":"2021-09-30T09:25:52.382Z","updated_at":"2024-05-01T15:26:03.684Z","grant_id":null,"is_lead":true,"saved_state":{"id":2950,"name":"United States Environmental Protection Agency","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2482","type":"fairsharing_records","attributes":{"created_at":"2017-07-14T04:39:40.000Z","updated_at":"2024-03-20T13:35:37.728Z","metadata":{"doi":"10.25504/FAIRsharing.bkxpmp","name":"Xenobiotics Metabolism Database","status":"deprecated","contacts":[{"contact_name":"Ola Spjuth","contact_email":"ola.spjuth@farmbio.uu.se","contact_orcid":"0000-0002-8083-2864"}],"homepage":"http://www.xmetdb.org/","citations":[],"identifier":2482,"description":"XMetDB is an open access and open source database and web interface for the submission and retrieval of experimental metabolite data for drugs and other xenobiotics. It will also feature an open API for access to the database.","abbreviation":"XMetDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.xmetdb.org/wiki/How_to_enter_experimental_data","type":"Help documentation"},{"url":"http://www.xmetdb.org/wiki/Export_of_data","type":"Help documentation"},{"url":"http://www.xmetdb.org/wiki/Saved_searches_and_alerts","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://www.xmetdb.org/wiki/API","name":"API"}],"deprecation_date":"2024-03-20","deprecation_reason":"This resource is no longer available at the stated homepage and a replacement homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000964","bsg-d000964"],"name":"FAIRsharing record for: Xenobiotics Metabolism Database","abbreviation":"XMetDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bkxpmp","doi":"10.25504/FAIRsharing.bkxpmp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XMetDB is an open access and open source database and web interface for the submission and retrieval of experimental metabolite data for drugs and other xenobiotics. It will also feature an open API for access to the database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biochemistry","Life Science","Biomedical Science"],"domains":["Drug metabolic process"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Bulgaria","Netherlands","Sweden"],"publications":[{"id":2242,"pubmed_id":27651835,"title":"XMetDB: an open access database for xenobiotic metabolism.","year":2016,"url":"http://doi.org/10.1186/s13321-016-0161-3","authors":"Spjuth O,Rydberg P,Willighagen EL,Evelo CT,Jeliazkova N","journal":"J Cheminform","doi":"10.1186/s13321-016-0161-3","created_at":"2021-09-30T08:26:32.726Z","updated_at":"2021-09-30T08:26:32.726Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":94,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":911,"relation":"undefined"}],"grants":[{"id":2691,"fairsharing_record_id":2482,"organisation_id":1309,"relation":"maintains","created_at":"2021-09-30T09:25:52.611Z","updated_at":"2021-09-30T09:25:52.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":1309,"name":"IDEAconsult, Sofia, Bulgaria","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2689,"fairsharing_record_id":2482,"organisation_id":2989,"relation":"maintains","created_at":"2021-09-30T09:25:52.541Z","updated_at":"2021-09-30T09:25:52.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":2989,"name":"Universiteit Maastricht, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2690,"fairsharing_record_id":2482,"organisation_id":702,"relation":"maintains","created_at":"2021-09-30T09:25:52.579Z","updated_at":"2021-09-30T09:25:52.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":702,"name":"Department of Drug Design and Pharmacology, University of Copenhagen","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2692,"fairsharing_record_id":2482,"organisation_id":733,"relation":"maintains","created_at":"2021-09-30T09:25:52.653Z","updated_at":"2021-09-30T09:25:52.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":733,"name":"Department of Pharmaceutical Biosciences, Uppsala University","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2483","type":"fairsharing_records","attributes":{"created_at":"2017-07-18T11:40:46.000Z","updated_at":"2023-12-15T10:31:44.678Z","metadata":{"doi":"10.25504/FAIRsharing.ewh295","name":"iDigBio IPT","status":"ready","contacts":[{"contact_name":"Joanna McCaffrey","contact_email":"jmccaffrey@flmnh.ufl.edu"}],"homepage":"http://ipt.idigbio.org","identifier":2483,"description":"The iDigBio IPT is a website that hosts biodiversity data and serves it in a standardised format, allowing aggregators such as iDigBio to index it into their portals whenever the data is applicable to that portal.","abbreviation":"iDigBio IPT","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/how-to-publish","type":"controlled","notes":"The submitted datasets must be affiliated with an organization that is registered with GBIF."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000965","bsg-d000965"],"name":"FAIRsharing record for: iDigBio IPT","abbreviation":"iDigBio IPT","url":"https://fairsharing.org/10.25504/FAIRsharing.ewh295","doi":"10.25504/FAIRsharing.ewh295","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The iDigBio IPT is a website that hosts biodiversity data and serves it in a standardised format, allowing aggregators such as iDigBio to index it into their portals whenever the data is applicable to that portal.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11667}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1036,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1021,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1028,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1027,"relation":"undefined"}],"grants":[{"id":2693,"fairsharing_record_id":2483,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:52.691Z","updated_at":"2021-09-30T09:25:52.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2491","type":"fairsharing_records","attributes":{"created_at":"2017-09-05T08:59:58.000Z","updated_at":"2023-06-22T17:13:55.846Z","metadata":{"doi":"10.25504/FAIRsharing.anxqkv","name":"e-ReColNat","status":"ready","contacts":[{"contact_email":"contact@recolnat.org"}],"homepage":"https://explore.recolnat.org","citations":[],"identifier":2491,"description":"e-ReColNat is an image repository consisting of species occurrence records through time, and aims to provide a source of data for additional research in areas such as biodiversity surveying, modelling global change.","abbreviation":"e-ReColNat","data_curation":{"type":"manual"},"support_links":[{"url":"https://explore.recolnat.org/demos","name":"Tutorials and demos","type":"Training documentation"},{"url":"https://explore.recolnat.org/feedback","name":"Comments and Feedback","type":"Contact form"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"https://lab.recolnat.org","name":"Virtual lab 0.9.3beta"},{"url":"http://lesherbonautes.mnhn.fr/","name":"Les Herbonautes v2"},{"url":"https://www.recolnat.org/en/annotate","name":"Annotate Tool"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000973","bsg-d000973"],"name":"FAIRsharing record for: e-ReColNat","abbreviation":"e-ReColNat","url":"https://fairsharing.org/10.25504/FAIRsharing.anxqkv","doi":"10.25504/FAIRsharing.anxqkv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: e-ReColNat is an image repository consisting of species occurrence records through time, and aims to provide a source of data for additional research in areas such as biodiversity surveying, modelling global change.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Paleontology","Biodiversity","Natural History"],"domains":["Geographical location"],"taxonomies":["All"],"user_defined_tags":["Geological mapping"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":2703,"fairsharing_record_id":2491,"organisation_id":2410,"relation":"maintains","created_at":"2021-09-30T09:25:53.057Z","updated_at":"2021-09-30T09:25:53.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":2410,"name":"RECOLNAT","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2492","type":"fairsharing_records","attributes":{"created_at":"2017-09-07T03:53:06.000Z","updated_at":"2023-12-15T10:30:23.420Z","metadata":{"doi":"10.25504/FAIRsharing.ekdqe5","name":"iReceptor Public Archive","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://www.ireceptor.org/","citations":[],"identifier":2492,"description":"A data repository for the storage and sharing of Adaptive Immune Receptor Repertoire data. Primary public repository for the iReceptor Platform and Scientific Gateway.","abbreviation":"IPA","data_curation":{"url":"http://ireceptor.irmacs.sfu.ca/curation","type":"manual/automated"},"support_links":[{"url":"http://www.ireceptor.org/news","name":"News","type":"Blog/News"},{"url":"support@ireceptor.org","name":"iReceptor Helpdesk","type":"Support email"},{"url":"http://www.ireceptor.org/platform/doc","name":"iReceptor Documentation","type":"Help documentation"},{"url":"http://www.ireceptor.org/curation","name":"Curation at iReceptor","type":"Help documentation"},{"url":"http://www.ireceptor.org/about","name":"About iReceptor","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","associated_tools":[{"url":"http://www.ireceptor.org/platform/doc","name":"DB Service API Documentation"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012732","name":"re3data:r3d100012732","portal":"re3data"}],"data_access_condition":{"url":"https://gateway.ireceptor.org/login","type":"open","notes":"Registration required"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000974","bsg-d000974"],"name":"FAIRsharing record for: iReceptor Public Archive","abbreviation":"IPA","url":"https://fairsharing.org/10.25504/FAIRsharing.ekdqe5","doi":"10.25504/FAIRsharing.ekdqe5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A data repository for the storage and sharing of Adaptive Immune Receptor Repertoire data. Primary public repository for the iReceptor Platform and Scientific Gateway.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11825},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12329},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12785}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Immunology","Virology","Life Science","Epidemiology"],"domains":["B cell receptor complex","T cell receptor complex","Antibody","Receptor","Curated information","Literature curation"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Canada"],"publications":[{"id":2539,"pubmed_id":29944754,"title":"iReceptor: A platform for querying and analyzing antibody/B‐cell and T‐cell receptor repertoire data across federated repositories","year":2018,"url":"http://doi.org/10.1111/imr.12666","authors":"Brian D. Corrie, Nishanth Marthandan, Bojan Zimonja, Jerome Jaglale, Yang Zhou, Emily Barr, Nicole Knoetze, Frances M. W. Breden, Scott Christley, Jamie K. Scott, Lindsay G. Cowell, Felix Breden","journal":"Immunological Reviews","doi":"10.1111/imr.12666","created_at":"2021-09-30T08:27:11.404Z","updated_at":"2021-09-30T08:27:11.404Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2122,"relation":"undefined"}],"grants":[{"id":2705,"fairsharing_record_id":2492,"organisation_id":1550,"relation":"maintains","created_at":"2021-09-30T09:25:53.134Z","updated_at":"2021-09-30T09:25:53.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":1550,"name":"iReceptor, Simon Fraser University, Vancouver, B.C., Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2708,"fairsharing_record_id":2492,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:53.216Z","updated_at":"2021-09-30T09:25:53.216Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2704,"fairsharing_record_id":2492,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:53.095Z","updated_at":"2021-09-30T09:25:53.095Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2706,"fairsharing_record_id":2492,"organisation_id":364,"relation":"funds","created_at":"2021-09-30T09:25:53.161Z","updated_at":"2021-09-30T09:25:53.161Z","grant_id":null,"is_lead":false,"saved_state":{"id":364,"name":"CANARIE Network Enabled Platforms Program","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2707,"fairsharing_record_id":2492,"organisation_id":314,"relation":"funds","created_at":"2021-09-30T09:25:53.185Z","updated_at":"2021-09-30T09:25:53.185Z","grant_id":null,"is_lead":false,"saved_state":{"id":314,"name":"British Columbia Knowledge Development Fund (BCKDF)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2709,"fairsharing_record_id":2492,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:25:53.258Z","updated_at":"2021-09-30T09:25:53.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbGNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--869cb8f65eb5cf25634ab49bbfa05f8d303fe014/IReceptor_1x.png?disposition=inline","exhaustive_licences":false}},{"id":"2469","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T18:13:49.000Z","updated_at":"2023-12-15T10:29:59.346Z","metadata":{"doi":"10.25504/FAIRsharing.gdj215","name":"Madagascar Biodiversity Information Facility IPT - GBIF France","status":"uncertain","contacts":[{"contact_name":"Andry Rakotomanjaka","contact_email":"andry@madbif.mg"}],"homepage":"http://ipt.madbif.mg/","citations":[],"identifier":2469,"description":"GBIF France hosts this data repository on behalf of Madagascar Biodiversity Information Facility (MadBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Most data collected within Madagascar is not documented and is only accessible to the person/team involved in the project for which the data has been collected. Moreover, there is a lack of data policy within the institutions of Madagascar. As a consequence, data knowledge is linked to individuals and disappears with them. The only public information that can be found is the information located in herbaria, museums, and various literature. MadBIF aims to promote and support publication of biodiversity data by data holders. Note from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because it appears to be insecure. We are making every effort to engage with the resource owners to understand if it is a temporary issue.","abbreviation":"MadBIF IPT - GBIF France","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.madbif.mg","name":"MadBIF","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000951","bsg-d000951"],"name":"FAIRsharing record for: Madagascar Biodiversity Information Facility IPT - GBIF France","abbreviation":"MadBIF IPT - GBIF France","url":"https://fairsharing.org/10.25504/FAIRsharing.gdj215","doi":"10.25504/FAIRsharing.gdj215","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of Madagascar Biodiversity Information Facility (MadBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Most data collected within Madagascar is not documented and is only accessible to the person/team involved in the project for which the data has been collected. Moreover, there is a lack of data policy within the institutions of Madagascar. As a consequence, data knowledge is linked to individuals and disappears with them. The only public information that can be found is the information located in herbaria, museums, and various literature. MadBIF aims to promote and support publication of biodiversity data by data holders. Note from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because it appears to be insecure. We are making every effort to engage with the resource owners to understand if it is a temporary issue.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11656}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Madagascar"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1150,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":399,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1170,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1164,"relation":"undefined"}],"grants":[{"id":2672,"fairsharing_record_id":2469,"organisation_id":474,"relation":"funds","created_at":"2021-09-30T09:25:51.874Z","updated_at":"2021-09-30T09:25:51.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":474,"name":"Centre National de Recherches sur l'Environnement (CNRE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2670,"fairsharing_record_id":2469,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.825Z","updated_at":"2021-09-30T09:25:51.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2671,"fairsharing_record_id":2469,"organisation_id":474,"relation":"maintains","created_at":"2021-09-30T09:25:51.851Z","updated_at":"2021-09-30T09:25:51.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":474,"name":"Centre National de Recherches sur l'Environnement (CNRE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2470","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T18:24:32.000Z","updated_at":"2023-12-15T10:29:54.832Z","metadata":{"doi":"10.25504/FAIRsharing.9ntzb2","name":"GBIF Togo IPT - GBIF France","status":"ready","contacts":[{"contact_email":"gbif@gbif.fr"}],"homepage":"http://ipt-togo.gbif.fr/","identifier":2470,"description":"GBIF France hosts this data repository on behalf of GBIF Togo in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000952","bsg-d000952"],"name":"FAIRsharing record for: GBIF Togo IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9ntzb2","doi":"10.25504/FAIRsharing.9ntzb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of GBIF Togo in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11657}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Togo"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":315,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":311,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":314,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":313,"relation":"undefined"}],"grants":[{"id":2673,"fairsharing_record_id":2470,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.901Z","updated_at":"2021-09-30T09:25:51.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2471","type":"fairsharing_records","attributes":{"created_at":"2017-07-04T08:31:09.000Z","updated_at":"2023-12-15T10:32:35.312Z","metadata":{"doi":"10.25504/FAIRsharing.1gx1wq","name":"GBIF Norway (Norway IPT)","status":"ready","contacts":[{"contact_name":"GBIF Norway","contact_email":"helpdesk@gbif.no","contact_orcid":"0000-0002-2352-5497"},{"contact_name":"Dag Endresen","contact_email":"node-manager@gbif.no","contact_orcid":"0000-0002-2352-5497"},{"contact_name":"Rukaya Johaadien","contact_email":"data-manager@gbif.no","contact_orcid":"0000-0002-2857-2276"}],"homepage":"https://www.gbif.no/","citations":[],"identifier":2471,"description":"GBIF Norway is the Norwegian participant node in the Global Biodiversity Information Facility, GBIF. They make primary data on biological diversity from the Norwegian collections and observation databases freely available and coordinate and support GBIF-related activities and data use in Norway.","abbreviation":"GBIF.no","data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/installation/c4e83f8a-f24c-4573-a197-f085ca242917","name":"About the IPT","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000953","bsg-d000953"],"name":"FAIRsharing record for: GBIF Norway (Norway IPT)","abbreviation":"GBIF.no","url":"https://fairsharing.org/10.25504/FAIRsharing.1gx1wq","doi":"10.25504/FAIRsharing.1gx1wq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF Norway is the Norwegian participant node in the Global Biodiversity Information Facility, GBIF. They make primary data on biological diversity from the Norwegian collections and observation databases freely available and coordinate and support GBIF-related activities and data use in Norway.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11658}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1087,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":957,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1086,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":958,"relation":"undefined"}],"grants":[{"id":2675,"fairsharing_record_id":2471,"organisation_id":1094,"relation":"maintains","created_at":"2021-09-30T09:25:51.968Z","updated_at":"2021-09-30T09:25:51.968Z","grant_id":null,"is_lead":true,"saved_state":{"id":1094,"name":"GBIF Norway","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2674,"fairsharing_record_id":2471,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:25:51.939Z","updated_at":"2021-09-30T09:25:51.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2676,"fairsharing_record_id":2471,"organisation_id":2092,"relation":"maintains","created_at":"2021-09-30T09:25:51.993Z","updated_at":"2021-09-30T09:25:51.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2092,"name":"Natural History Museum at the University of Oslo","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10635,"fairsharing_record_id":2471,"organisation_id":1727,"relation":"collaborates_on","created_at":"2023-05-27T11:52:41.571Z","updated_at":"2023-05-27T11:52:41.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":1727,"name":"Long-Term Ecosystem Research in Europe (eLTER)","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":10636,"fairsharing_record_id":2471,"organisation_id":3717,"relation":"collaborates_on","created_at":"2023-05-27T11:52:41.573Z","updated_at":"2023-05-27T11:52:41.573Z","grant_id":null,"is_lead":false,"saved_state":{"id":3717,"name":"DiSSCo","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":10632,"fairsharing_record_id":2471,"organisation_id":1166,"relation":"associated_with","created_at":"2023-05-27T11:52:41.527Z","updated_at":"2023-05-27T11:52:41.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":10633,"fairsharing_record_id":2471,"organisation_id":3674,"relation":"associated_with","created_at":"2023-05-27T11:52:41.527Z","updated_at":"2023-05-27T11:52:41.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":3674,"name":"University of Oslo","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10638,"fairsharing_record_id":2471,"organisation_id":2995,"relation":"associated_with","created_at":"2023-05-27T11:54:49.743Z","updated_at":"2023-05-27T11:54:49.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2995,"name":"Universitetet i Bergen, Bergen, Norway","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10639,"fairsharing_record_id":2471,"organisation_id":2891,"relation":"associated_with","created_at":"2023-05-27T11:54:49.745Z","updated_at":"2023-05-27T11:54:49.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10634,"fairsharing_record_id":2471,"organisation_id":2712,"relation":"collaborates_on","created_at":"2023-05-27T11:52:41.541Z","updated_at":"2023-05-27T11:52:41.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Consortium","types":["Consortium","Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}},{"id":10637,"fairsharing_record_id":2471,"organisation_id":2207,"relation":"collaborates_on","created_at":"2023-05-27T11:54:49.742Z","updated_at":"2023-05-27T11:54:49.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":2207,"name":"OBIS","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":10640,"fairsharing_record_id":2471,"organisation_id":2200,"relation":"associated_with","created_at":"2023-05-27T11:54:49.746Z","updated_at":"2023-05-27T11:54:49.746Z","grant_id":null,"is_lead":false,"saved_state":{"id":2200,"name":"NTNU - Norwegian University of Science and Technology","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcUVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--356943adc8f7e038ea8568e9277de120cb31c743/gbif-norway.png?disposition=inline","exhaustive_licences":false}},{"id":"2472","type":"fairsharing_records","attributes":{"created_at":"2017-07-04T08:45:20.000Z","updated_at":"2023-11-13T11:43:06.747Z","metadata":{"doi":"10.25504/FAIRsharing.gncawv","name":"Portugal IPT - GBIF Portugal","status":"ready","contacts":[{"contact_name":"GBIF Portugal","contact_email":"node@gbif.pt"}],"homepage":"http://ipt.gbif.pt/ipt/","identifier":2472,"description":"GBIF Portugal promotes the free and open sharing of primary biodiversity data and enriches knowledge of Portuguese and World biodiversity. It promotes the integration of Portuguese data publishers and resources of biodiversity information on the GBIF network, and the availability of biodiversity data for the scientific research and societal needs.","abbreviation":null,"data_curation":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/manage-resources","type":"none"},"support_links":[{"url":"node@gbif.pt","name":"Rui Figueira","type":"Support email"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://www.gbif.org/ipt","name":"GBIF Integrated Publishing Toolkit (IPT) 2.3"}],"data_access_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/","type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/how-to-publish","type":"controlled","notes":"The dataset must be affiliated with an organization that is registered with GBIF."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000954","bsg-d000954"],"name":"FAIRsharing record for: Portugal IPT - GBIF Portugal","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.gncawv","doi":"10.25504/FAIRsharing.gncawv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF Portugal promotes the free and open sharing of primary biodiversity data and enriches knowledge of Portuguese and World biodiversity. It promotes the integration of Portuguese data publishers and resources of biodiversity information on the GBIF network, and the availability of biodiversity data for the scientific research and societal needs.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11659}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Portugal"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":378,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":367,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":375,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":368,"relation":"undefined"}],"grants":[{"id":2678,"fairsharing_record_id":2472,"organisation_id":1095,"relation":"maintains","created_at":"2021-09-30T09:25:52.042Z","updated_at":"2021-09-30T09:25:52.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":1095,"name":"GBIF Portugal","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2677,"fairsharing_record_id":2472,"organisation_id":1453,"relation":"maintains","created_at":"2021-09-30T09:25:52.016Z","updated_at":"2021-09-30T09:25:52.016Z","grant_id":null,"is_lead":true,"saved_state":{"id":1453,"name":"Instituto Superior de Agronomia, University of Lisbon, Portugal","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2679,"fairsharing_record_id":2472,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:25:52.070Z","updated_at":"2021-09-30T09:25:52.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2501","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T11:30:44.000Z","updated_at":"2023-12-15T10:32:42.329Z","metadata":{"doi":"10.25504/FAIRsharing.aq20qn","name":"NOMAD Laboratory","status":"ready","contacts":[{"contact_email":"contact@nomad-lab.eu"}],"homepage":"https://nomad-lab.eu/","citations":[{"publication_id":656}],"identifier":2501,"description":"The NOMAD Laboratory hosts, organizes and shares materials data. It contains ab initio electronic-structure data from density-functional theory and methods beyond. NOMAD enables the confirmatory analysis of materials data, their reuse, and repurposing. It makes scientific data citable as one can request digital objective identifiers (DOI's). NOMAD keeps scientific data for at least 10 years for free.","abbreviation":"NOMAD LAB","data_curation":{"type":"none"},"support_links":[{"url":"https://nomad-lab.eu/services/terms","name":"NOMAD Laboratory Terms","type":"Frequently Asked Questions (FAQs)"},{"url":"https://matsci.org/c/nomad/32","name":"matsci.org community discussion forum","type":"Forum"},{"url":"https://nomad-lab.eu/videos","name":"NOMAD Laboratory tutorial videos","type":"Training documentation"},{"url":"https://twitter.com/NoMaDCoE","name":"NOMAD Laboratory Twitter","type":"Twitter"}],"data_versioning":"yes","associated_tools":[{"url":"https://github.com/nomad-coe","name":"GitHub Organisation"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011583","name":"re3data:r3d100011583","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://nomad-lab.eu/prod/v1/staging/docs/data/upload.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000983","bsg-d000983"],"name":"FAIRsharing record for: NOMAD Laboratory","abbreviation":"NOMAD LAB","url":"https://fairsharing.org/10.25504/FAIRsharing.aq20qn","doi":"10.25504/FAIRsharing.aq20qn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NOMAD Laboratory hosts, organizes and shares materials data. It contains ab initio electronic-structure data from density-functional theory and methods beyond. NOMAD enables the confirmatory analysis of materials data, their reuse, and repurposing. It makes scientific data citable as one can request digital objective identifiers (DOI's). NOMAD keeps scientific data for at least 10 years for free.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18430}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Natural Science","Materials Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":649,"pubmed_id":null,"title":"NOMAD: The FAIR Concept for Big-Data-Driven Materials Science","year":2018,"url":"https://doi.org/10.1557/mrs.2018.208","authors":"C. Draxl and M. Scheffler","journal":"MRS Bulletin 43, 676","doi":null,"created_at":"2021-09-30T08:23:31.412Z","updated_at":"2021-09-30T08:23:31.412Z"},{"id":656,"pubmed_id":null,"title":"The NOMAD Laboratory: From Data Sharing to Artificial Intelligence","year":2019,"url":"https://iopscience.iop.org/article/10.1088/2515-7639/ab13bb","authors":"C. Draxl and M. Scheffler","journal":"J. Phys. Mater. 2, 036001","doi":null,"created_at":"2021-09-30T08:23:32.444Z","updated_at":"2021-09-30T08:23:32.444Z"},{"id":657,"pubmed_id":null,"title":"Big-Data-Driven Materials Science and its FAIR Data Infrastructure","year":2019,"url":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-42913-7_104-1.pdf","authors":"C. Draxl and M. Scheffler","journal":"Invited Perspective in Handbook Andreoni W., Yip S. (eds) Handbook of Materials Modeling. Springer, Cham","doi":null,"created_at":"2021-09-30T08:23:32.544Z","updated_at":"2021-09-30T08:23:32.544Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2282,"relation":"undefined"}],"grants":[{"id":2728,"fairsharing_record_id":2501,"organisation_id":1284,"relation":"maintains","created_at":"2021-09-30T09:25:53.911Z","updated_at":"2021-09-30T09:25:53.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":1284,"name":"Humboldt-Universität zu Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2732,"fairsharing_record_id":2501,"organisation_id":1065,"relation":"maintains","created_at":"2021-09-30T09:25:54.011Z","updated_at":"2021-09-30T09:25:54.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1065,"name":"Fritz Haber Institute of the Max Planck Society, Berlin, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2730,"fairsharing_record_id":2501,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:53.961Z","updated_at":"2021-09-30T09:29:53.478Z","grant_id":453,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"676580","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2729,"fairsharing_record_id":2501,"organisation_id":1779,"relation":"maintains","created_at":"2021-09-30T09:25:53.934Z","updated_at":"2021-09-30T09:25:53.934Z","grant_id":null,"is_lead":false,"saved_state":{"id":1779,"name":"Max Planck Computing and Data Facility, Garching, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2731,"fairsharing_record_id":2501,"organisation_id":991,"relation":"maintains","created_at":"2021-09-30T09:25:53.984Z","updated_at":"2021-09-30T09:25:53.984Z","grant_id":null,"is_lead":true,"saved_state":{"id":991,"name":"FAIR Data Infrastructure for Physics, Chemistry, Materials Science, and Astronomy e.V., Berlin, Germany","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2502","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T12:40:19.000Z","updated_at":"2024-04-09T09:14:39.281Z","metadata":{"doi":"10.25504/FAIRsharing.1ky0cs","name":"UK Data Service","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"help@ukdataservice.ac.uk"}],"homepage":"https://ukdataservice.ac.uk/","citations":[],"identifier":2502,"description":"UK Data Service (UKDS) provides unified access to the UK's largest collection of social, economic and population data for research and teaching purposes covering a range of different disciplines. The majority of our data are fully anonymised, unless otherwise specified in the relevant online catalogue records, and are therefore not suitable for genealogical users or family historians. The UK Data Service is funded by the Economic and Social Research Council (ESRC) to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, and business consultants and the commercial sector.","abbreviation":"UKDS","data_curation":{"url":"https://www.data-archive.ac.uk/managing-data/digital-curation-and-data-publishing/curation-process/","type":"manual"},"support_links":[{"url":"https://www.ukdataservice.ac.uk/about-us/contact.aspx","name":"Contact","type":"Contact form"},{"url":"https://www.ukdataservice.ac.uk/help/faq.aspx","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ukdataservice.ac.uk/news-and-events.aspx","name":"News","type":"Forum"},{"url":"https://www.ukdataservice.ac.uk/get-data/open-data.aspx","name":"Open Data at UKDS","type":"Help documentation"},{"url":"https://www.ukdataservice.ac.uk/use-data.aspx","name":"Training and Support","type":"Training documentation"},{"url":"https://twitter.com/UKDataService","name":"Twitter","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.ukdataservice.ac.uk/get-data/explore-online.aspx","name":"Tool Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010230","name":"re3data:r3d100010230","portal":"re3data"}],"data_access_condition":{"url":"https://ukdataservice.ac.uk/find-data/access-conditions/","type":"partially open","notes":"Data may be classed as open, safeguarded or controlled."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.data-archive.ac.uk/managing-data/data-preservation-and-trust/","name":"Data Preservation Policy"},"data_deposition_condition":{"url":"https://ukdataservice.ac.uk/help/deposit-data/deposit-in-the-curated-data-repository/","type":"open","notes":"Although open to all researchers, is intended primarily for ESRC researchers. Additionally, each submission is reviewed for relevance and may not be accepted if out of scope."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000984","bsg-d000984"],"name":"FAIRsharing record for: UK Data Service","abbreviation":"UKDS","url":"https://fairsharing.org/10.25504/FAIRsharing.1ky0cs","doi":"10.25504/FAIRsharing.1ky0cs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UK Data Service (UKDS) provides unified access to the UK's largest collection of social, economic and population data for research and teaching purposes covering a range of different disciplines. The majority of our data are fully anonymised, unless otherwise specified in the relevant online catalogue records, and are therefore not suitable for genealogical users or family historians. The UK Data Service is funded by the Economic and Social Research Council (ESRC) to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, and business consultants and the commercial sector.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11012}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Economic and Social History","Demographics","Social Science"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":3202,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3203,"relation":"applies_to_content"},{"licence_name":"UK Data Service Data Access Policy","licence_id":807,"licence_url":"https://www.ukdataservice.ac.uk/get-data/data-access-policy.aspx","link_id":1295,"relation":"applies_to_content"}],"grants":[{"id":2735,"fairsharing_record_id":2502,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:25:54.121Z","updated_at":"2021-09-30T09:25:54.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2733,"fairsharing_record_id":2502,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:54.041Z","updated_at":"2021-09-30T09:25:54.041Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2734,"fairsharing_record_id":2502,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:25:54.083Z","updated_at":"2021-09-30T09:25:54.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2495","type":"fairsharing_records","attributes":{"created_at":"2017-08-04T12:05:32.000Z","updated_at":"2023-12-15T10:31:34.763Z","metadata":{"doi":"10.25504/FAIRsharing.7388wt","name":"NASA Goddard Earth Sciences Data and Information Services Center","status":"ready","contacts":[{"contact_name":"Dave Meyer","contact_email":"david.j.meyer@nasa.gov"}],"homepage":"https://disc.gsfc.nasa.gov","identifier":2495,"description":"The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) is located at the Goddard Space Flight Center (GSFC) in Greenbelt, Maryland, and is one of 12 NASA Science Mission Directorate Data Centers that provide Earth science data, information, and services to research scientists, applications scientists, applications users, and students. They archive and support data sets applicable to several NASA Earth Science Focus Areas including: Atmospheric Composition, Water \u0026 Energy Cycles, and Climate Variability. The GES DISC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","abbreviation":"GES DISC","data_curation":{"type":"none"},"support_links":[{"url":"https://disc.gsfc.nasa.gov/information/alerts","name":"Alerts","type":"Blog/News"},{"url":"https://disc.gsfc.nasa.gov/information/news","name":"News","type":"Blog/News"},{"url":"gsfc-help-disc@lists.nasa.gov","name":"Helpmail contact","type":"Support email"},{"url":"https://disc.gsfc.nasa.gov/information/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://forum.earthdata.nasa.gov/","type":"Forum"},{"url":"https://disc.gsfc.nasa.gov/information/howto","name":"How to","type":"Help documentation"},{"url":"https://disc.gsfc.nasa.gov/information/glossary","name":"Glossary","type":"Help documentation"},{"url":"https://www.youtube.com/user/NASAGESDISC","name":"Youtube","type":"Video"},{"url":"https://twitter.com/NASA_GESDISC","name":"@NASA_GESDISC","type":"Twitter"}],"year_creation":1996,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000036","name":"re3data:r3d100000036","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000977","bsg-d000977"],"name":"FAIRsharing record for: NASA Goddard Earth Sciences Data and Information Services Center","abbreviation":"GES DISC","url":"https://fairsharing.org/10.25504/FAIRsharing.7388wt","doi":"10.25504/FAIRsharing.7388wt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) is located at the Goddard Space Flight Center (GSFC) in Greenbelt, Maryland, and is one of 12 NASA Science Mission Directorate Data Centers that provide Earth science data, information, and services to research scientists, applications scientists, applications users, and students. They archive and support data sets applicable to several NASA Earth Science Focus Areas including: Atmospheric Composition, Water \u0026 Energy Cycles, and Climate Variability. The GES DISC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Hydrogeology","Earth Science","Atmospheric Science","Oceanography"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":2034,"relation":"undefined"}],"grants":[{"id":2712,"fairsharing_record_id":2495,"organisation_id":1186,"relation":"maintains","created_at":"2021-09-30T09:25:53.366Z","updated_at":"2021-09-30T09:25:53.366Z","grant_id":null,"is_lead":false,"saved_state":{"id":1186,"name":"Goddard Earth Sciences Data and Information Systems, NASA Goddard Space Flight Center, Greenbelt, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2713,"fairsharing_record_id":2495,"organisation_id":806,"relation":"maintains","created_at":"2021-09-30T09:25:53.408Z","updated_at":"2021-09-30T09:25:53.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":806,"name":"Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2714,"fairsharing_record_id":2495,"organisation_id":808,"relation":"maintains","created_at":"2021-09-30T09:25:53.449Z","updated_at":"2021-09-30T09:25:53.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":808,"name":"Earth Science Data and Information System Project (ESDIS), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2715,"fairsharing_record_id":2495,"organisation_id":809,"relation":"maintains","created_at":"2021-09-30T09:25:53.490Z","updated_at":"2021-09-30T09:25:53.490Z","grant_id":null,"is_lead":false,"saved_state":{"id":809,"name":"Earth Science Data Systems (ESDS) Program, Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2498","type":"fairsharing_records","attributes":{"created_at":"2017-08-04T15:59:19.000Z","updated_at":"2024-01-11T11:51:49.389Z","metadata":{"doi":"10.25504/FAIRsharing.rd6gxr","name":"SIMBAD Astronomical Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"cds-question@unistra.fr"}],"homepage":"http://simbad.u-strasbg.fr/simbad/","citations":[],"identifier":2498,"description":"SIMBAD provides information on astronomical objects of interest which have been studied in scientific articles. It provides a bibliography as well as basic information such as the nature of the object, its coordinates, magnitudes, proper motions and parallax, velocity/redshift, size, spectral or morphological type, and the multitude of names (identifiers) given in the literature.","abbreviation":"SIMBAD","data_curation":{"type":"manual/automated","notes":"Professional"},"year_creation":1950,"data_versioning":"no","associated_tools":[{"url":"https://aladin.u-strasbg.fr/java/nph-aladin.pl?frame=downloading","name":"Aladin Desktop"},{"url":"https://aladin.u-strasbg.fr/AladinLite/","name":"Aladin Lite"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010163","name":"re3data:r3d100010163","portal":"re3data"}],"data_access_condition":{"url":"http://simbad.cds.unistra.fr/simbad/","type":"open","notes":"Usable by interactive web pages and also APIs"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000980","bsg-d000980"],"name":"FAIRsharing record for: SIMBAD Astronomical Database","abbreviation":"SIMBAD","url":"https://fairsharing.org/10.25504/FAIRsharing.rd6gxr","doi":"10.25504/FAIRsharing.rd6gxr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SIMBAD provides information on astronomical objects of interest which have been studied in scientific articles. It provides a bibliography as well as basic information such as the nature of the object, its coordinates, magnitudes, proper motions and parallax, velocity/redshift, size, spectral or morphological type, and the multitude of names (identifiers) given in the literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":2722,"fairsharing_record_id":2498,"organisation_id":2988,"relation":"maintains","created_at":"2021-09-30T09:25:53.762Z","updated_at":"2021-09-30T09:25:53.762Z","grant_id":null,"is_lead":false,"saved_state":{"id":2988,"name":"Universite de Strasbourg, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2721,"fairsharing_record_id":2498,"organisation_id":2651,"relation":"maintains","created_at":"2021-09-30T09:25:53.729Z","updated_at":"2021-09-30T09:25:53.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":2651,"name":"Strasbourg Astronomical Data Center, Strasbourg Astronomical Observatory","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9208,"fairsharing_record_id":2498,"organisation_id":1974,"relation":"funds","created_at":"2022-04-11T12:07:22.198Z","updated_at":"2022-04-11T12:07:22.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2500","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T10:39:04.000Z","updated_at":"2023-06-23T16:19:15.097Z","metadata":{"doi":"10.25504/FAIRsharing.1frnts","name":"UK Solar System Data Centre Data Archive","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"support@ukssdc.ac.uk"}],"homepage":"https://www.ukssdc.ac.uk","identifier":2500,"description":"The UK Solar System Data Centre (UKSSDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Solar terrestrial physics and chemistry. It provides a central archive and data centre facility for Solar System science in the UK. The UKSSDC supports data archives for the whole UK solar system community encompassing solar, inter-planetary, magnetospheric, ionospheric and geomagnetic science. The UKSSDC is part of RAL Space based at the STFC run Rutherford Appleton Laboratory in Oxfordshire.","abbreviation":"UKSSDC","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ukssdc.ac.uk/contact.html","name":"Contact form","type":"Contact form"},{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010714","name":"re3data:r3d100010714","portal":"re3data"}],"data_access_condition":{"url":"https://www.ukssdc.ac.uk/cgi-bin/wdcc1/userreg.pl","type":"controlled"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000982","bsg-d000982"],"name":"FAIRsharing record for: UK Solar System Data Centre Data Archive","abbreviation":"UKSSDC","url":"https://fairsharing.org/10.25504/FAIRsharing.1frnts","doi":"10.25504/FAIRsharing.1frnts","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Solar System Data Centre (UKSSDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Solar terrestrial physics and chemistry. It provides a central archive and data centre facility for Solar System science in the UK. The UKSSDC supports data archives for the whole UK solar system community encompassing solar, inter-planetary, magnetospheric, ionospheric and geomagnetic science. The UKSSDC is part of RAL Space based at the STFC run Rutherford Appleton Laboratory in Oxfordshire.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geophysics","Astrophysics and Astronomy","Earth Science","Atmospheric Science"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":2725,"fairsharing_record_id":2500,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:53.834Z","updated_at":"2021-09-30T09:25:53.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2726,"fairsharing_record_id":2500,"organisation_id":2519,"relation":"maintains","created_at":"2021-09-30T09:25:53.861Z","updated_at":"2021-09-30T09:25:53.861Z","grant_id":null,"is_lead":true,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2727,"fairsharing_record_id":2500,"organisation_id":2519,"relation":"funds","created_at":"2021-09-30T09:25:53.883Z","updated_at":"2021-09-30T09:25:53.883Z","grant_id":null,"is_lead":false,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2496","type":"fairsharing_records","attributes":{"created_at":"2017-08-04T13:44:06.000Z","updated_at":"2023-12-15T10:32:46.028Z","metadata":{"doi":"10.25504/FAIRsharing.j5eden","name":"Australian Ocean Data Network Portal","status":"ready","contacts":[{"contact_name":"Contact email","contact_email":"info@aodn.org.au"}],"homepage":"https://portal.aodn.org.au","citations":[],"identifier":2496,"description":"The AODN Portal provides access to all available Australian marine and climate science data and provides the primary access to IMOS data including access to the IMOS metadata. Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.","abbreviation":"AODN","data_curation":{"url":"https://s3-ap-southeast-2.amazonaws.com/content.aodn.org.au/Documents/IMOS/Conventions/AODN_Data_Policy.pdf","type":"manual","notes":"Data should be curated prior to submission."},"support_links":[{"url":"https://help.aodn.org.au","name":"User guide","type":"Help documentation"},{"url":"https://github.com/aodn/","name":"Github","type":"Github"},{"url":"https://twitter.com/IMOS_AUS","name":"@IMOS_AUS","type":"Twitter"}],"data_versioning":"yes","associated_tools":[{"url":"https://help.aodn.org.au/aodn-data-tools/","name":"AODN/IMOS Data Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010914","name":"re3data:r3d100010914","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://help.aodn.org.au/contributing-data/overview/","type":"open"},"citation_to_related_publications":"no","certifications_and_community_badges":[{"url":"https://amt.coretrustseal.org/certificates","name":"CoreTrustSeal"},{"url":"https://worlddatasystem.org/members/wds-members-directory-pdf/","name":"World Data System Member"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000978","bsg-d000978"],"name":"FAIRsharing record for: Australian Ocean Data Network Portal","abbreviation":"AODN","url":"https://fairsharing.org/10.25504/FAIRsharing.j5eden","doi":"10.25504/FAIRsharing.j5eden","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AODN Portal provides access to all available Australian marine and climate science data and provides the primary access to IMOS data including access to the IMOS metadata. Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Marine Biology","Earth Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1466,"relation":"undefined"}],"grants":[{"id":2716,"fairsharing_record_id":2496,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:53.541Z","updated_at":"2021-09-30T09:25:53.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2717,"fairsharing_record_id":2496,"organisation_id":3133,"relation":"maintains","created_at":"2021-09-30T09:25:53.583Z","updated_at":"2021-09-30T09:25:53.583Z","grant_id":null,"is_lead":true,"saved_state":{"id":3133,"name":"University of Tasmania, Australia","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2512","type":"fairsharing_records","attributes":{"created_at":"2017-08-17T21:09:55.000Z","updated_at":"2023-12-15T10:31:39.397Z","metadata":{"doi":"10.25504/FAIRsharing.pjj4gd","name":"Biological and Chemical Oceanography Data Management Office","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@bco-dmo.org"}],"homepage":"https://www.bco-dmo.org/","identifier":2512,"description":"The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and the Division of Polar Programs Arctic Sciences and Antarctic Organisms \u0026 Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archive with appropriate national facilities.","abbreviation":"BCO-DMO","data_curation":{"url":"https://www.bco-dmo.org/files/bcodmo/BCO-DMO_Quick_Start_Guide.pdf","type":"manual/automated"},"support_links":[{"url":"https://blog.bco-dmo.org/","name":"BCO-DMO Blog","type":"Blog/News"},{"url":"https://www.bco-dmo.org/faq-page","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.linkedin.com/company/biological-and-chemical-oceanography-data-management-office","name":"LinkedIn","type":"Forum"},{"url":"https://www.bco-dmo.org/files/bcodmo/BCO-DMO_Quick_Start_Guide.pdf","name":"Quick Start Guide","type":"Help documentation"},{"url":"https://www.bco-dmo.org/how-get-started","name":"How to Contribute","type":"Help documentation"},{"url":"https://www.bco-dmo.org/resources","name":"Resources","type":"Help documentation"},{"url":"http://www.bco-dmo.org/files/bcodmo/BCO-DMO_Tutorial.pdf","name":"BCO-DMO Tutorial","type":"Training documentation"},{"url":"https://twitter.com/BCODMO","name":"@BCODMO","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000012","name":"re3data:r3d100000012","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.bco-dmo.org/how-get-started","type":"controlled","notes":"One can only submit data from projects funded by NSF OCE's Biological or Chemical Oceanography Sections or the Division of Polar Programs' Antarctic Organisms \u0026 Ecosystems Program."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000994","bsg-d000994"],"name":"FAIRsharing record for: Biological and Chemical Oceanography Data Management Office","abbreviation":"BCO-DMO","url":"https://fairsharing.org/10.25504/FAIRsharing.pjj4gd","doi":"10.25504/FAIRsharing.pjj4gd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and the Division of Polar Programs Arctic Sciences and Antarctic Organisms \u0026 Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archive with appropriate national facilities.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12786}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Geography","Limnology","Biochemistry","Genomics","Proteomics","Ecology","Biodiversity","Atmospheric Science","Life Science","Microbiology","Oceanography","Biology"],"domains":["Climate"],"taxonomies":["All"],"user_defined_tags":["Ecological modeling"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2420,"relation":"undefined"}],"grants":[{"id":2766,"fairsharing_record_id":2512,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:55.287Z","updated_at":"2021-09-30T09:29:17.651Z","grant_id":181,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCE-1435578","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2513","type":"fairsharing_records","attributes":{"created_at":"2017-08-18T10:31:21.000Z","updated_at":"2023-06-23T11:20:32.115Z","metadata":{"doi":"10.25504/FAIRsharing.jnzrt","name":"Project Tycho: Data for Health","status":"ready","contacts":[{"contact_name":"Wilbert van Panhuis","contact_email":"tycho@phdl.pitt.edu","contact_orcid":"0000-0002-7278-9982"}],"homepage":"http://www.tycho.pitt.edu","citations":[],"identifier":2513,"description":"In 2013 the the first version of Project Tycho contained weekly case counts for 50 notifiable conditions reported by health agencies in the United States for 50 states and 1284 cities between 1888 and 2014. Over the past four years, over 3700 users have registered to use Project Tycho data for a total of 40 creative works including peer-reviewed research papers, visualizations, online applications, and newspaper articles. Project Tycho 2.0 has expanded its scope to a global level and improved standardization, following FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles where possible. Project Tycho 2.0 includes case counts for 28 additional notifiable conditions for the US and includes data for dengue-related conditions for 99 countries between 1955 and 2010, obtained from the World Health Organization and Ministries of Health. Project Tycho 2.0 datasets are represented in a standard format and include standard SNOMED-CT codes for reported conditions, ISO 3166 codes for countries and first administrative level subdivisions, and NCBI TaxonID numbers for pathogens. Metadata for Project Tycho datasets are available on the website in human-readable format, but also in machine-interpretable DATS and DataCite metadata files.","abbreviation":"Project Tycho","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.tycho.pitt.edu/#contact","name":"Contact Form","type":"Contact form"}],"year_creation":2013,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011948","name":"re3data:r3d100011948","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010489","name":"SciCrunch:RRID:SCR_010489","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000995","bsg-d000995"],"name":"FAIRsharing record for: Project Tycho: Data for Health","abbreviation":"Project Tycho","url":"https://fairsharing.org/10.25504/FAIRsharing.jnzrt","doi":"10.25504/FAIRsharing.jnzrt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In 2013 the the first version of Project Tycho contained weekly case counts for 50 notifiable conditions reported by health agencies in the United States for 50 states and 1284 cities between 1888 and 2014. Over the past four years, over 3700 users have registered to use Project Tycho data for a total of 40 creative works including peer-reviewed research papers, visualizations, online applications, and newspaper articles. Project Tycho 2.0 has expanded its scope to a global level and improved standardization, following FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles where possible. Project Tycho 2.0 includes case counts for 28 additional notifiable conditions for the US and includes data for dengue-related conditions for 99 countries between 1955 and 2010, obtained from the World Health Organization and Ministries of Health. Project Tycho 2.0 datasets are represented in a standard format and include standard SNOMED-CT codes for reported conditions, ISO 3166 codes for countries and first administrative level subdivisions, and NCBI TaxonID numbers for pathogens. Metadata for Project Tycho datasets are available on the website in human-readable format, but also in machine-interpretable DATS and DataCite metadata files.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12256},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12787}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":["FAIR"],"taxonomies":["anaplasma phagocytophylum","Babesiidae","Bacillus anthracis","Borrelia","Brucella","Campylobacter","Chalmydia psittaci","Chlamydia","Chlamydia trachomatis","Clostridium tetani","Coccidioides","Corynebacterium diphtheriae","Cryptosporidium","Dengue virus","Ehrlichia chaffeensis","Entamoeba histolytica","Enterobacteriaceae","Enterovirus C","Escherichia coli","Eschericia coli O157:H7","Firmicutes","Francisella tularensis","Giardia","Haemophilus influenzae","Hepatitis b virus","Hepatitis C virus","Homo sapiens","Human hepatitis A virus","Human herpesvirus 3","Human immunodeficiency virus","Legionella","Listeria monocytogenes","Measles virus","Mumps virus","Mycobacterium leprae","Mycobacterium tuberculosis","Neisseria gonorrhoeae","Neisseria meningitidis","Neisseria meningitidis serogroup B","Plasmodium","Rickettsiales","Rickettsia rickettsii","Rubella virus","Salmonella","Salmonella enterica subsp.enterica serovar Typhi","Shigella","Streptococcus pneumoniae","Streptococcus sp. group A","Treponema pallidum","Trichinella","unidentified influenza virus","Variola virus","Vibrio cholerae","West Nile virus","Yellow fever virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2598,"pubmed_id":24283231,"title":"Contagious diseases in the United States from 1888 to the present.","year":2013,"url":"http://doi.org/10.1056/NEJMms1215400","authors":"van Panhuis WG,Grefenstette J,Jung SY,Chok NS,Cross A,Eng H,Lee BY,Zadorozhny V,Brown S,Cummings D,Burke DS","journal":"N Engl J Med","doi":"10.1056/NEJMms1215400","created_at":"2021-09-30T08:27:18.839Z","updated_at":"2021-09-30T08:27:18.839Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":680,"relation":"undefined"},{"licence_name":"Project Tycho CC BY 4.0 License Document","licence_id":684,"licence_url":"https://www.tycho.pitt.edu/license/","link_id":681,"relation":"undefined"}],"grants":[{"id":2767,"fairsharing_record_id":2513,"organisation_id":2382,"relation":"maintains","created_at":"2021-09-30T09:25:55.311Z","updated_at":"2021-09-30T09:25:55.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2382,"name":"Public Health Dynamics Laboratory, University of Pittsburgh, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2773,"fairsharing_record_id":2513,"organisation_id":2370,"relation":"maintains","created_at":"2021-09-30T09:25:55.533Z","updated_at":"2021-09-30T09:25:55.533Z","grant_id":null,"is_lead":false,"saved_state":{"id":2370,"name":"Project Tycho","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2768,"fairsharing_record_id":2513,"organisation_id":708,"relation":"maintains","created_at":"2021-09-30T09:25:55.345Z","updated_at":"2021-09-30T09:25:55.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":708,"name":"Department of Epidemiology, University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2770,"fairsharing_record_id":2513,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:25:55.417Z","updated_at":"2021-09-30T09:25:55.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2772,"fairsharing_record_id":2513,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:25:55.496Z","updated_at":"2021-09-30T09:32:41.257Z","grant_id":1733,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"5K01ES026836-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2774,"fairsharing_record_id":2513,"organisation_id":3115,"relation":"maintains","created_at":"2021-09-30T09:25:55.577Z","updated_at":"2021-09-30T09:25:55.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2769,"fairsharing_record_id":2513,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:55.375Z","updated_at":"2021-09-30T09:28:56.152Z","grant_id":22,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"5U54GM088491-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2771,"fairsharing_record_id":2513,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:25:55.459Z","updated_at":"2021-09-30T09:30:40.992Z","grant_id":820,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"49276","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ29CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f4cbd6c1ae0b37286146915e026d3ecd29637ca9/tycho.png?disposition=inline","exhaustive_licences":false}},{"id":"2514","type":"fairsharing_records","attributes":{"created_at":"2017-08-20T18:01:53.000Z","updated_at":"2024-03-20T13:35:32.585Z","metadata":{"doi":"10.25504/FAIRsharing.nwz68","name":"VDJdb: a curated database of T-cell receptors with known antigen specificity","status":"ready","contacts":[{"contact_name":"Mikhail Shugay","contact_email":"mikhail.shugay@gmail.com","contact_orcid":"0000-0001-7826-7942"}],"homepage":"https://vdjdb.cdr3.net","citations":[],"identifier":2514,"description":"The primary goal of VDJdb is to facilitate access to existing information on T-cell receptor antigen specificities, i.e. the ability to recognize certain epitopes in certain MHC contexts. Our mission is to both aggregate the scarce TCR specificity information available so far and to create a curated repository to store such data. In addition to routine database updates providing the most up-to-date information, we make our best to ensure data consistency and fight irregularities in TCR specificity reporting with a complex database validation scheme.","abbreviation":"VDJdb","data_curation":{"type":"automated"},"support_links":[{"url":"https://github.com/antigenomics/vdjdb-db/issues","name":"Issue tracker","type":"Github"},{"url":"https://gitter.im/antigenomics/vdjdb-db","name":"Interactive chat","type":"Help documentation"},{"url":"https://zenodo.org/record/838663#.WZq4IsaZOwI","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/antigenomics/vdjdb-db ","name":"DB GitHub","type":"Github"}],"year_creation":2017,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://github.com/antigenomics/vdjdb-db/blob/master/README.md#submission-guide","type":"open","notes":"Free registration is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000996","bsg-d000996"],"name":"FAIRsharing record for: VDJdb: a curated database of T-cell receptors with known antigen specificity","abbreviation":"VDJdb","url":"https://fairsharing.org/10.25504/FAIRsharing.nwz68","doi":"10.25504/FAIRsharing.nwz68","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary goal of VDJdb is to facilitate access to existing information on T-cell receptor antigen specificities, i.e. the ability to recognize certain epitopes in certain MHC contexts. Our mission is to both aggregate the scarce TCR specificity information available so far and to create a curated repository to store such data. In addition to routine database updates providing the most up-to-date information, we make our best to ensure data consistency and fight irregularities in TCR specificity reporting with a complex database validation scheme.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Medicine","Bioinformatics","Immunogenetics","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Immunogenomics"],"countries":["Czech Republic","Russia","European Union"],"publications":[{"id":4202,"pubmed_id":null,"title":"VDJdb in the pandemic era: a compendium of T cell receptors specific for SARS-CoV-2","year":2022,"url":"http://dx.doi.org/10.1038/s41592-022-01578-0","authors":"Goncharov, Mikhail; Bagaev, Dmitry; Shcherbinin, Dmitrii; Zvyagin, Ivan; Bolotin, Dmitry; Thomas, Paul G.; Minervina, Anastasia A.; Pogorelyy, Mikhail V.; Ladell, Kristin; McLaren, James E.; Price, David A.; Nguyen, Thi H. O.; Rowntree, Louise C.; Clemens, E. Bridie; Kedzierska, Katherine; Dolton, Garry; Rius, Cristina Rafael; Sewell, Andrew; Samir, Jerome; Luciani, Fabio; Zornikova, Ksenia V.; Khmelevskaya, Alexandra A.; Sheetikov, Saveliy A.; Efimov, Grigory A.; Chudakov, Dmitry; Shugay, Mikhail; ","journal":"Nat Methods","doi":"10.1038/s41592-022-01578-0","created_at":"2024-03-20T13:18:48.958Z","updated_at":"2024-03-20T13:18:48.958Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1074,"relation":"undefined"}],"grants":[{"id":11497,"fairsharing_record_id":2514,"organisation_id":4322,"relation":"maintains","created_at":"2024-03-20T13:25:18.653Z","updated_at":"2024-03-20T13:25:18.653Z","grant_id":null,"is_lead":true,"saved_state":{"id":4322,"name":"Institute of Bioorganic Chemistry","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdjREIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f6e38cdb8e0ea19a3ad41fc95a7c1684a4613ca0/Screenshot%20from%202024-03-20%2013-17-56.png?disposition=inline","exhaustive_licences":false}},{"id":"2515","type":"fairsharing_records","attributes":{"created_at":"2017-09-08T15:55:31.000Z","updated_at":"2024-02-07T17:44:57.648Z","metadata":{"doi":"10.25504/FAIRsharing.sym4ne","name":"The Encyclopedia of Proteome Dynamics","status":"deprecated","contacts":[{"contact_name":"Alejandro Brenes","contact_email":"ajbrenesmurillo@dundee.ac.uk","contact_orcid":""}],"homepage":"https://peptracker.com/epd","citations":[],"identifier":2515,"description":"The EPD has been created and is maintained by the Lamond group in the University of Dundee. It combines a polyglot persistent database and web-application that provides open access to integrated proteomics data for \u003e30 000 proteins from published studies on human cells and model organisms. It is designed to provide a user-friendly interface, featuring graphical navigation with interactive visualizations that facilitate powerful data exploration in an intuitive manner. The EPD offers a flexible and scalable ecosystem to integrate proteomics data with genomics information, RNA expression and other related, large-scale datasets.","abbreviation":"EPD","data_curation":{"type":"not found"},"support_links":[{"url":"peptracker@dundee.ac.uk","name":"EPD Contact","type":"Support email"},{"url":"https://peptracker.com/epd/details/","name":"Details","type":"Help documentation"},{"url":"https://peptracker.com/epd/about/","name":"About","type":"Help documentation"},{"url":"https://peptracker.com/epd/publications/","name":"Publications","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2022-01-19","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000997","bsg-d000997"],"name":"FAIRsharing record for: The Encyclopedia of Proteome Dynamics","abbreviation":"EPD","url":"https://fairsharing.org/10.25504/FAIRsharing.sym4ne","doi":"10.25504/FAIRsharing.sym4ne","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EPD has been created and is maintained by the Lamond group in the University of Dundee. It combines a polyglot persistent database and web-application that provides open access to integrated proteomics data for \u003e30 000 proteins from published studies on human cells and model organisms. It is designed to provide a user-friendly interface, featuring graphical navigation with interactive visualizations that facilitate powerful data exploration in an intuitive manner. The EPD offers a flexible and scalable ecosystem to integrate proteomics data with genomics information, RNA expression and other related, large-scale datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Data Visualization"],"domains":["Peptide identification","Peptide library","Post-translational protein modification"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2256,"pubmed_id":null,"title":"The Encyclopedia of Proteome Dynamics: a big data ecosystem for (prote)omics","year":2017,"url":"http://doi.org/10.1093/nar/gkx807","authors":"Brenes A, Afzal V, Kent R, Lamond A.I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx807","created_at":"2021-09-30T08:26:34.374Z","updated_at":"2021-09-30T08:26:34.374Z"}],"licence_links":[],"grants":[{"id":2775,"fairsharing_record_id":2515,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:55.618Z","updated_at":"2021-09-30T09:25:55.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2778,"fairsharing_record_id":2515,"organisation_id":3049,"relation":"maintains","created_at":"2021-09-30T09:25:55.731Z","updated_at":"2021-09-30T09:25:55.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2776,"fairsharing_record_id":2515,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:55.660Z","updated_at":"2021-09-30T09:25:55.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2777,"fairsharing_record_id":2515,"organisation_id":1684,"relation":"maintains","created_at":"2021-09-30T09:25:55.698Z","updated_at":"2021-09-30T09:25:55.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":1684,"name":"Lamond Group","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2517","type":"fairsharing_records","attributes":{"created_at":"2017-10-04T18:19:05.000Z","updated_at":"2023-12-15T10:31:23.375Z","metadata":{"doi":"10.25504/FAIRsharing.ccwcz6","name":"NCI Center for Strategic Scientific Initiatives Data Coordinating Center","status":"ready","contacts":[{"contact_name":"Paul Aiyetan, MD","contact_email":"paul.aiyetan@nih.gov","contact_orcid":"0000-0001-9031-000X"}],"homepage":"https://cssi-dcc.nci.nih.gov/cssiportal/","identifier":2517,"description":"The CSSI Data Coordinating Center (DCC) provides the greater Cancer Research and Biomedical Research communities access to the data from a myriad of projects that have been supported by CSSI -- serving as a permanent repository for these and related investigations. The DCC allows users in the community to download the metadata and data from these investigations in the ISA-TAB format. The DCC also allows any user to upload and download the metadata and data associated with investigations. The DCC has a graphical user interface allowing users to easily visualize the content within the data archives","abbreviation":"CSSI DCC","data_curation":{"type":"not found"},"support_links":[{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/contactus/","name":"CSSI DCC Portal Contact Form","type":"Contact form"},{"url":"https://wiki.nci.nih.gov/display/DSE/CSSI+DCC+Portal+User%27s+Guide","name":"CSSI DCC Portal User Guide","type":"Help documentation"},{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/news/","name":"News","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/search/","name":"Search"},{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/browse","name":"Browse"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/about/#","type":"controlled","notes":"Only data generated in support of cancer research funded or supported by the CSSI can be submitted"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001000","bsg-d001000"],"name":"FAIRsharing record for: NCI Center for Strategic Scientific Initiatives Data Coordinating Center","abbreviation":"CSSI DCC","url":"https://fairsharing.org/10.25504/FAIRsharing.ccwcz6","doi":"10.25504/FAIRsharing.ccwcz6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CSSI Data Coordinating Center (DCC) provides the greater Cancer Research and Biomedical Research communities access to the data from a myriad of projects that have been supported by CSSI -- serving as a permanent repository for these and related investigations. The DCC allows users in the community to download the metadata and data from these investigations in the ISA-TAB format. The DCC also allows any user to upload and download the metadata and data associated with investigations. The DCC has a graphical user interface allowing users to easily visualize the content within the data archives","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Cancer"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2780,"fairsharing_record_id":2517,"organisation_id":1955,"relation":"funds","created_at":"2021-09-30T09:25:55.981Z","updated_at":"2021-09-30T09:25:55.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2782,"fairsharing_record_id":2517,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:56.061Z","updated_at":"2021-09-30T09:25:56.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9389,"fairsharing_record_id":2517,"organisation_id":1955,"relation":"maintains","created_at":"2022-04-11T12:07:35.099Z","updated_at":"2022-04-11T12:07:35.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2523","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T14:48:13.000Z","updated_at":"2023-12-15T10:29:38.990Z","metadata":{"doi":"10.25504/FAIRsharing.9997ek","name":"The Mass Genome Annotation Data Repository","status":"ready","contacts":[{"contact_name":"Philipp Bucher","contact_email":"ask-epd@googlegroups.com","contact_orcid":"0000-0003-4824-885X"}],"homepage":"https://epd.expasy.org/mga/","citations":[],"identifier":2523,"description":"The Mass Genome Annotation (MGA) Data Repository stores published next generation sequencing data and other genome annotation data (such as gene start sites, SNPs, etc.) that, in conjunction with the ChIP-Seq and SSA servers, can be accessed and studied by scientists. The main characteristic of the MGA database is to store mapped data (in the form of genomic coordinates of mapped reads) and not sequence files. In this way, each sample present in the database has been pre-processed (for example sequence reads have been mapped to a genome) and presented in a standardized text format.","abbreviation":"MGA","data_curation":{"url":"https://doi.org/10.1093/nar/gkx995","type":"manual"},"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"https://ccg.epfl.ch/chipseq/","name":"ChIP-Seq 1.5.4"},{"url":"https://ccg.epfl.ch/ssa/","name":"SSA 2.0"},{"url":"https://epd.expasy.org/ssa/","name":"Signal Search Analysis"},{"url":"https://epd.expasy.org/chipseq/","name":" ChIP-Seq data analysis"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001006","bsg-d001006"],"name":"FAIRsharing record for: The Mass Genome Annotation Data Repository","abbreviation":"MGA","url":"https://fairsharing.org/10.25504/FAIRsharing.9997ek","doi":"10.25504/FAIRsharing.9997ek","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mass Genome Annotation (MGA) Data Repository stores published next generation sequencing data and other genome annotation data (such as gene start sites, SNPs, etc.) that, in conjunction with the ChIP-Seq and SSA servers, can be accessed and studied by scientists. The main characteristic of the MGA database is to store mapped data (in the form of genomic coordinates of mapped reads) and not sequence files. In this way, each sample present in the database has been pre-processed (for example sequence reads have been mapped to a genome) and presented in a standardized text format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Annotation","Chromatin immunoprecipitation - DNA sequencing","Single nucleotide polymorphism"],"taxonomies":["Apis mellifera","Arabidopsis thaliana","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Zea mays"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[],"grants":[{"id":2791,"fairsharing_record_id":2523,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:56.375Z","updated_at":"2021-09-30T09:25:56.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2790,"fairsharing_record_id":2523,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:25:56.332Z","updated_at":"2021-09-30T09:25:56.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbThCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--abaed62dbeee8770c54de9239ead6bd88e763f4a/Screenshot%20from%202022-08-02%2008-53-34.png?disposition=inline","exhaustive_licences":false}},{"id":"2524","type":"fairsharing_records","attributes":{"created_at":"2017-10-30T22:31:08.000Z","updated_at":"2023-12-15T10:32:45.080Z","metadata":{"doi":"10.25504/FAIRsharing.by3p8p","name":"brainlife","status":"ready","contacts":[{"contact_name":"Franco Pestilli","contact_email":"pestilli@utexas.edu","contact_orcid":"0000-0002-2469-0494"}],"homepage":"https://brainlife.io","citations":[],"identifier":2524,"description":"Brainlife is an open, online platform that provides seamless access to cloud computing infrastructure and brain data and data derivatives. It aims to address challenges to neuroscience open sharing and reproducibility by providing integrative mechanisms for publishing data, and algorithms while embedding them with computing resources to impact multiple scientific communities. Brainlife is intended for neuroscientists, computer scientists, statisticians, and engineers interested in brain data to use the data or develop and publish their analysis methods.","abbreviation":"brainlife","data_curation":{"type":"none"},"support_links":[{"url":"brlife@iu.edu","name":"General Contact","type":"Support email"},{"url":"https://brainlife.slack.com/","name":"Brain Life Slack Channel","type":"Help documentation"},{"url":"https://github.com/brainlife/brainlife","name":"GitHub Project","type":"Github"},{"url":"https://brainlife.io/docs/","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/brainlifeio","name":"@brainlifeio","type":"Twitter"}],"year_creation":2017,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012397","name":"re3data:r3d100012397","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_020940","name":"SciCrunch:RRID:SCR_020940","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://brainlife.io/docs/user/started/#upload-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001007","bsg-d001007"],"name":"FAIRsharing record for: brainlife","abbreviation":"brainlife","url":"https://fairsharing.org/10.25504/FAIRsharing.by3p8p","doi":"10.25504/FAIRsharing.by3p8p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Brainlife is an open, online platform that provides seamless access to cloud computing infrastructure and brain data and data derivatives. It aims to address challenges to neuroscience open sharing and reproducibility by providing integrative mechanisms for publishing data, and algorithms while embedding them with computing resources to impact multiple scientific communities. Brainlife is intended for neuroscientists, computer scientists, statisticians, and engineers interested in brain data to use the data or develop and publish their analysis methods.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Computational Neuroscience","Computational Biology","Computer Science","Biomedical Science","Bioengineering","Neuroscience"],"domains":["Brain","Brain imaging","Data storage"],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics"],"countries":["United States"],"publications":[{"id":830,"pubmed_id":31123325,"title":"The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services.","year":2019,"url":"http://doi.org/10.1038/s41597-019-0073-y","authors":"Avesani P,McPherson B,Hayashi S,Caiafa CF,Henschel R,Garyfallidis E,Kitchell L,Bullock D,Patterson A,Olivetti E,Sporns O,Saykin AJ,Wang L,Dinov I,Hancock D,Caron B,Qian Y,Pestilli F","journal":"Sci Data","doi":"10.1038/s41597-019-0073-y","created_at":"2021-09-30T08:23:51.539Z","updated_at":"2021-09-30T08:23:51.539Z"}],"licence_links":[],"grants":[{"id":2793,"fairsharing_record_id":2524,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:56.453Z","updated_at":"2021-09-30T09:30:38.230Z","grant_id":800,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BCS-1734853","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8353,"fairsharing_record_id":2524,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:14.239Z","updated_at":"2021-09-30T09:32:14.273Z","grant_id":1529,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"ISS-1636893","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2792,"fairsharing_record_id":2524,"organisation_id":3138,"relation":"maintains","created_at":"2021-09-30T09:25:56.409Z","updated_at":"2021-09-30T09:25:56.409Z","grant_id":null,"is_lead":true,"saved_state":{"id":3138,"name":"University of Texas at Austin, Austin, TX, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2522","type":"fairsharing_records","attributes":{"created_at":"2017-10-30T13:39:53.000Z","updated_at":"2023-12-15T10:30:11.458Z","metadata":{"doi":"10.25504/FAIRsharing.dh32pc","name":"Target Pathogen","status":"ready","contacts":[{"contact_name":"Dario Fernandez Do Porto","contact_email":"dariofd@gmail.com"}],"homepage":"http://target.sbg.qb.fcen.uba.ar/patho/","identifier":2522,"description":"The Target-Pathogen database is a bioinformatic approach to prioritize drug targets in pathogens. Available genomic data for pathogens has created new opportunities for drug discovery and development, including new species, resistant and multiresistant ones. However, this data must be cohesively integrated to be fully exploited and be easy to interrogate. Target-Pathogen has been designed and developed as an online resource to allow genome wide based data consolidation from diverse sources focusing on structural druggability, essentiality and metabolic role of proteins. By allowing the integration and weighting of this information, this bioinformatic tool aims to facilitate the identification and prioritization of candidate drug targets for pathogens. With the structurome and drugome information Target-Pathogen is a unique resource to analyze whole genomes of relevants pathogens.","abbreviation":"Target Pathogen","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://target.sbg.qb.fcen.uba.ar/patho/user/tutorial","name":"Tutorial","type":"Help documentation"},{"url":"http://target.sbg.qb.fcen.uba.ar/patho/user/user_guide","name":"User Guide","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001005","bsg-d001005"],"name":"FAIRsharing record for: Target Pathogen","abbreviation":"Target Pathogen","url":"https://fairsharing.org/10.25504/FAIRsharing.dh32pc","doi":"10.25504/FAIRsharing.dh32pc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Target-Pathogen database is a bioinformatic approach to prioritize drug targets in pathogens. Available genomic data for pathogens has created new opportunities for drug discovery and development, including new species, resistant and multiresistant ones. However, this data must be cohesively integrated to be fully exploited and be easy to interrogate. Target-Pathogen has been designed and developed as an online resource to allow genome wide based data consolidation from diverse sources focusing on structural druggability, essentiality and metabolic role of proteins. By allowing the integration and weighting of this information, this bioinformatic tool aims to facilitate the identification and prioritization of candidate drug targets for pathogens. With the structurome and drugome information Target-Pathogen is a unique resource to analyze whole genomes of relevants pathogens.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11791}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Life Science"],"domains":["Genome visualization","Pathogen","Genome"],"taxonomies":["All"],"user_defined_tags":["Drug Target"],"countries":["Argentina"],"publications":[{"id":1380,"pubmed_id":29106651,"title":"Target-Pathogen: a structural bioinformatic approach to prioritize drug targets in pathogens.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1015","authors":"Sosa EJ,Burguener G,Lanzarotti E,Defelipe L,Radusky L,Pardo AM,Marti M,Turjanski AG,Fernandez Do Porto D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1015","created_at":"2021-09-30T08:24:54.332Z","updated_at":"2021-09-30T11:29:07.559Z"}],"licence_links":[],"grants":[{"id":2789,"fairsharing_record_id":2522,"organisation_id":982,"relation":"maintains","created_at":"2021-09-30T09:25:56.293Z","updated_at":"2021-09-30T09:25:56.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":982,"name":"Facultad de Ciencias Exactas y Naturales - Universidad de Buenos Aires","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2509","type":"fairsharing_records","attributes":{"created_at":"2017-08-11T13:30:39.000Z","updated_at":"2023-06-23T09:56:24.299Z","metadata":{"doi":"10.25504/FAIRsharing.pn7yxf","name":"Swedish National Data Service","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"snd@gu.se"}],"homepage":"https://snd.gu.se/en","identifier":2509,"description":"Swedish National Data Service (SND) is a research data infrastructure that supports accessibility, preservation, and reuse of research data. The SND Search function makes it easy to find, use, and cite research data from a variety of scientific disciplines. SND is present throughout the Swedish research ecology, through an extensive network across closer to 40 higher education institutions and other research organisations. Together, SND and this network form a distributed system of certified research data repositories with the SND main office as a central node. The certification means that SND ensures that research data are managed, stored, and made accessible in a secure and sustainable manner, today and for the future. SND collaborates with various international stakeholders in order to advance global access to research data.","abbreviation":"SND","data_curation":{"url":"https://snd.gu.se/en/describe-and-share-data/share-data-step-step","type":"manual","notes":"step by step guide for data deposit and data curation (also documented here https://snd.gu.se/en/manage-data/prepare-and-share)"},"support_links":[{"url":"https://snd.gu.se/en/news-and-events","name":"News \u0026 events","type":"Blog/News"},{"url":"https://www.linkedin.com/company/svensk-nationell-datatj%C3%A4nst/?originalSubdomain=se","name":"LinkedIn","type":"Blog/News"},{"url":"https://snd.gu.se/en/describe-and-deposit-data/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://snd.gu.se/en/manage-data/guides","name":"Guides","type":"Help documentation"},{"url":"https://snd.gu.se/en/rss-news.xml","type":"Blog/News"},{"url":"https://twitter.com/sndSweden","type":"Twitter"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010146","name":"re3data:r3d100010146","portal":"re3data"}],"data_access_condition":{"url":"https://snd.gu.se/en/find-data/research-data-catalogue/accessibility-levels-snd","type":"partially open","notes":"Data can be freely accessible or restricted, and stored by SND or third party"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://snd.gu.se/en/about-us/snd-network","type":"controlled","notes":"available to the SND network (members from Swedish higher education institutions and public research institutes)"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000991","bsg-d000991"],"name":"FAIRsharing record for: Swedish National Data Service","abbreviation":"SND","url":"https://fairsharing.org/10.25504/FAIRsharing.pn7yxf","doi":"10.25504/FAIRsharing.pn7yxf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Swedish National Data Service (SND) is a research data infrastructure that supports accessibility, preservation, and reuse of research data. The SND Search function makes it easy to find, use, and cite research data from a variety of scientific disciplines. SND is present throughout the Swedish research ecology, through an extensive network across closer to 40 higher education institutions and other research organisations. Together, SND and this network form a distributed system of certified research data repositories with the SND main office as a central node. The certification means that SND ensures that research data are managed, stored, and made accessible in a secure and sustainable manner, today and for the future. SND collaborates with various international stakeholders in order to advance global access to research data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Humanities","Social Science","Health Science","Life Science","Social and Behavioural Science","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[],"grants":[{"id":2751,"fairsharing_record_id":2509,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:25:54.727Z","updated_at":"2021-09-30T09:25:54.727Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2755,"fairsharing_record_id":2509,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:25:54.867Z","updated_at":"2021-09-30T09:25:54.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2758,"fairsharing_record_id":2509,"organisation_id":1733,"relation":"maintains","created_at":"2021-09-30T09:25:54.984Z","updated_at":"2021-09-30T09:25:54.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":1733,"name":"Lund University, Lund, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2760,"fairsharing_record_id":2509,"organisation_id":2905,"relation":"maintains","created_at":"2021-09-30T09:25:55.067Z","updated_at":"2021-09-30T09:25:55.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":2905,"name":"Umeå University, Umeå, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2752,"fairsharing_record_id":2509,"organisation_id":2674,"relation":"maintains","created_at":"2021-09-30T09:25:54.752Z","updated_at":"2021-09-30T09:25:54.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":2674,"name":"Swedish National Data Service","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2753,"fairsharing_record_id":2509,"organisation_id":2645,"relation":"maintains","created_at":"2021-09-30T09:25:54.783Z","updated_at":"2021-09-30T09:25:54.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":2645,"name":"Stockholm University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2754,"fairsharing_record_id":2509,"organisation_id":3058,"relation":"maintains","created_at":"2021-09-30T09:25:54.825Z","updated_at":"2021-09-30T09:25:54.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2756,"fairsharing_record_id":2509,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:25:54.905Z","updated_at":"2021-09-30T09:25:54.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2757,"fairsharing_record_id":2509,"organisation_id":491,"relation":"maintains","created_at":"2021-09-30T09:25:54.942Z","updated_at":"2021-09-30T09:25:54.942Z","grant_id":null,"is_lead":false,"saved_state":{"id":491,"name":"Chalmers University of Technology, Gothenburg, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2759,"fairsharing_record_id":2509,"organisation_id":2676,"relation":"maintains","created_at":"2021-09-30T09:25:55.025Z","updated_at":"2021-09-30T09:25:55.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":2676,"name":"Swedish University of Agricultural Sciences","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2761,"fairsharing_record_id":2509,"organisation_id":1651,"relation":"maintains","created_at":"2021-09-30T09:25:55.106Z","updated_at":"2021-09-30T09:25:55.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":1651,"name":"KTH Royal Institute of Technology, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2511","type":"fairsharing_records","attributes":{"created_at":"2017-08-16T07:31:15.000Z","updated_at":"2024-02-01T11:53:22.589Z","metadata":{"doi":"10.25504/FAIRsharing.1sfhp3","name":"Donders Repository","status":"deprecated","contacts":[{"contact_name":"Robert Oostenveld","contact_email":"r.oostenveld@donders.ru.nl","contact_orcid":"0000-0002-1974-1293"},{"contact_name":"Didi Lamers","contact_email":"didi.lamers@ru.nl","contact_orcid":"0000-0001-5539-9870"}],"homepage":"http://data.donders.ru.nl","citations":[],"identifier":2511,"description":"The Donders Institute for Brain, Cognition and Behavior at the Radboud University created the Donders Repository for archiving, preserving and sharing the research data generated and processed at the institute.","abbreviation":"DR","data_curation":{"type":"none"},"support_links":[{"url":"https://data.donders.ru.nl/doc/help/","type":"Help documentation"},{"url":"rdmsupport@ubn.ru.nl","name":"Research Data Management Support","type":"Support email"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"https://irods.org","name":"iRODS"},{"url":"https://cyberduck.io","name":"CyberDuck"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012701","name":"re3data:r3d100012701","portal":"re3data"}],"deprecation_date":"2024-02-01","deprecation_reason":"The Donders Repository has been merged with the Radboud Data Repository (RDR): https://doi.org/10.25504/FAIRsharing.559bc5. Researchers should now use the RDR at https://data.ru.nl instead of the Donders Repository (https://data.donders.ru.nl). All datasets of the Donders Repository are findable on the web portal of the RDR, and the Donders Repository URLs redirect to the RDR web portal. ","data_access_condition":{"url":"https://data.donders.ru.nl/doc/help/helppages/visitor-manual.html?3","type":"partially open","notes":"Collections can be accessed in different ways depending on the collection type (Open access, Open access for Registered Users or Restricted access) or your status (reviewer or visitor)."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://data.donders.ru.nl/doc/help/helppages/best-practices.html?9","type":"controlled","notes":"The Donders Repository is a data repository for researchers of Radboud University to archive and/or publish their research data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000993","bsg-d000993"],"name":"FAIRsharing record for: Donders Repository","abbreviation":"DR","url":"https://fairsharing.org/10.25504/FAIRsharing.1sfhp3","doi":"10.25504/FAIRsharing.1sfhp3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Donders Institute for Brain, Cognition and Behavior at the Radboud University created the Donders Repository for archiving, preserving and sharing the research data generated and processed at the institute.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurophysiology","Computational Neuroscience","Life Science","Social and Behavioural Science"],"domains":["Behavior","Cognition","Brain","Brain imaging"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3334,"relation":"applies_to_content"},{"licence_name":"Donders Repository Privacy Policy","licence_id":251,"licence_url":"https://data.donders.ru.nl/doc/privacy_policy.html","link_id":1432,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":3335,"relation":"applies_to_content"},{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":3336,"relation":"applies_to_content"},{"licence_name":"RU-DI-HD-1.0 - License for potentially identifying human data","licence_id":717,"licence_url":"https://data.donders.ru.nl/doc/dua/RU-DI-HD-1.0.html","link_id":1433,"relation":"undefined"},{"licence_name":"RU-DI-NH-1.0 - License for non-identifiable or non-human data","licence_id":718,"licence_url":"https://data.donders.ru.nl/doc/dua/RU-DI-NH-1.0.html","link_id":1434,"relation":"undefined"}],"grants":[{"id":2764,"fairsharing_record_id":2511,"organisation_id":2398,"relation":"maintains","created_at":"2021-09-30T09:25:55.217Z","updated_at":"2021-09-30T09:25:55.217Z","grant_id":null,"is_lead":false,"saved_state":{"id":2398,"name":"Radboud University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2765,"fairsharing_record_id":2511,"organisation_id":779,"relation":"maintains","created_at":"2021-09-30T09:25:55.254Z","updated_at":"2021-09-30T09:25:55.254Z","grant_id":null,"is_lead":false,"saved_state":{"id":779,"name":"Donders Institute for Brain, Cognition and Behavior, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2507","type":"fairsharing_records","attributes":{"created_at":"2017-08-10T15:51:09.000Z","updated_at":"2024-02-05T11:08:14.503Z","metadata":{"doi":"10.25504/FAIRsharing.mtjvme","name":"BioStudies","status":"ready","contacts":[{"contact_name":"Ugis Sarkans","contact_email":"ugis@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biostudies/","citations":[{"doi":"10.1093/nar/gkx965","pubmed_id":29069414,"publication_id":183}],"identifier":2507,"description":"The mission of BioStudies is to provide access to all the data outputs of a life sciences study from a single place, by organising links to data in other databases at EMBL-EBI or elsewhere, as well as hosting data and metadata that do not fit anywhere else. The database accepts submissions via an online tool, or in a simple tab-delimited format. BioStudies provides rich mechanisms for defining and using metadata guidelines specific for a particular data source such as a project or a community, and organises datasets in collections.","abbreviation":"BioStudies","data_curation":{"url":"https://www.ebi.ac.uk/biostudies/help","type":"manual","notes":"BioStudies will work with submitters and users of the database to achieve the best quality resource possible."},"support_links":[{"url":"biostudies@ebi.ac.uk","name":"BioStudies Helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/biostudies/help","name":"Help Pages","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biostudies/about","name":"About BioStudies","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/reusing-existing-data","name":"Reusing existing data","type":"TeSS links to training materials"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012627","name":"re3data:r3d100012627","portal":"re3data"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/biostudies/help","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.ebi.ac.uk/biostudies/help","name":"More information"},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/biostudies/submit","type":"open"},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://elixir-europe.org/platforms/data/core-data-resources","name":"ELIXIR Core Data Resource"}],"data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000989","bsg-d000989"],"name":"FAIRsharing record for: BioStudies","abbreviation":"BioStudies","url":"https://fairsharing.org/10.25504/FAIRsharing.mtjvme","doi":"10.25504/FAIRsharing.mtjvme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mission of BioStudies is to provide access to all the data outputs of a life sciences study from a single place, by organising links to data in other databases at EMBL-EBI or elsewhere, as well as hosting data and metadata that do not fit anywhere else. The database accepts submissions via an online tool, or in a simple tab-delimited format. BioStudies provides rich mechanisms for defining and using metadata guidelines specific for a particular data source such as a project or a community, and organises datasets in collections.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11404},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11851}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":183,"pubmed_id":29069414,"title":"The BioStudies database-one stop shop for all data supporting a life sciences study.","year":2017,"url":"http://doi.org/10.1093/nar/gkx965","authors":"Sarkans U,Gostev M,Athar A,Behrangi E,Melnichuk O,Ali A,Minguet J,Rada JC,Snow C,Tikhonov A,Brazma A,McEntyre J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx965","created_at":"2021-09-30T08:22:39.996Z","updated_at":"2021-09-30T11:28:43.750Z"},{"id":2248,"pubmed_id":26700850,"title":"The BioStudies database.","year":2015,"url":"http://doi.org/10.15252/msb.20156658","authors":"McEntyre J,Sarkans U,Brazma A","journal":"Mol Syst Biol","doi":"10.15252/msb.20156658","created_at":"2021-09-30T08:26:33.450Z","updated_at":"2021-09-30T08:26:33.450Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3437,"relation":"applies_to_content"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2126,"relation":"undefined"},{"licence_name":"CC-BY-SA 3.0 AT","licence_id":1014,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/at/legalcode","link_id":3436,"relation":"applies_to_content"}],"grants":[{"id":2747,"fairsharing_record_id":2507,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:54.592Z","updated_at":"2021-09-30T09:25:54.592Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10007,"fairsharing_record_id":2507,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.617Z","updated_at":"2022-10-13T09:43:38.617Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":9235,"fairsharing_record_id":2507,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.303Z","updated_at":"2022-04-11T12:07:24.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdnNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c08fff373a4f131f42d7a9d825e8589c7a364b38/logo-Biostudies.png?disposition=inline","exhaustive_licences":false}},{"id":"2520","type":"fairsharing_records","attributes":{"created_at":"2017-10-17T12:55:57.000Z","updated_at":"2023-12-15T10:30:00.123Z","metadata":{"doi":"10.25504/FAIRsharing.bwswdf","name":"Mutual Folding Induced by Binding Database","status":"ready","contacts":[{"contact_name":"Bálint Mészáros","contact_email":"mfib@ttk.mta.hu","contact_orcid":"0000-0003-0919-4449"}],"homepage":"http://mfib.enzim.ttk.mta.hu","identifier":2520,"description":"Mutual Folding Induced by Binding (MFIB) is a repository of protein complexes for which the folding of each constituent protein chain is coupled to the interaction forming the complex. This means that while the complexes are stable enough to have their structures solved by conventional structure determination methods (such as X-ray or NMR), the proteins or protein regions involved in the interaction do not have a stable structure in their free monomeric form (i.e. they are intrinsically disordered/unstructured).","abbreviation":"MFIB","data_curation":{"url":"https://mfib.enzim.ttk.mta.hu/help.php","type":"manual"},"support_links":[{"url":"http://mfib.enzim.ttk.mta.hu/help.php","name":"MFIB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mfib.enzim.ttk.mta.hu/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://mfib.enzim.ttk.mta.hu/help.php","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001003","bsg-d001003"],"name":"FAIRsharing record for: Mutual Folding Induced by Binding Database","abbreviation":"MFIB","url":"https://fairsharing.org/10.25504/FAIRsharing.bwswdf","doi":"10.25504/FAIRsharing.bwswdf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mutual Folding Induced by Binding (MFIB) is a repository of protein complexes for which the folding of each constituent protein chain is coupled to the interaction forming the complex. This means that while the complexes are stable enough to have their structures solved by conventional structure determination methods (such as X-ray or NMR), the proteins or protein regions involved in the interaction do not have a stable structure in their free monomeric form (i.e. they are intrinsically disordered/unstructured).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12790}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein interaction","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":300,"pubmed_id":29036655,"title":"MFIB: a repository of protein complexes with mutual folding induced by binding.","year":2017,"url":"http://doi.org/10.1093/bioinformatics/btx486","authors":"Ficho E,Remenyi I,Simon I,Meszaros B","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btx486","created_at":"2021-09-30T08:22:52.307Z","updated_at":"2021-09-30T08:22:52.307Z"}],"licence_links":[{"licence_name":"MFIB Free for academic and non-profit use","licence_id":508,"licence_url":"http://mfib.enzim.ttk.mta.hu/help.php","link_id":2197,"relation":"undefined"}],"grants":[{"id":2786,"fairsharing_record_id":2520,"organisation_id":1414,"relation":"maintains","created_at":"2021-09-30T09:25:56.208Z","updated_at":"2021-09-30T09:25:56.208Z","grant_id":null,"is_lead":false,"saved_state":{"id":1414,"name":"Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2787,"fairsharing_record_id":2520,"organisation_id":1909,"relation":"maintains","created_at":"2021-09-30T09:25:56.239Z","updated_at":"2021-09-30T09:25:56.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":1909,"name":"MTA-ELTE Bioinformatics Research Group","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2526","type":"fairsharing_records","attributes":{"created_at":"2017-10-17T12:56:00.000Z","updated_at":"2023-06-23T11:10:15.454Z","metadata":{"doi":"10.25504/FAIRsharing.rt4gyp","name":"Disordered Binding Sites Database","status":"ready","contacts":[{"contact_email":"dibs@ttk.mta.hu","contact_orcid":"0000-0003-0919-4449"}],"homepage":"http://dibs.enzim.ttk.mta.hu","identifier":2526,"description":"Disordered Binding Sites (DIBS) is a repository of protein complexes that are formed by ordered and disordered proteins. Intrinsically disordered proteins (IDPs) do not have a stable 3D structure in isolation and therefore they defy structure determination by X-ray or NMR. However, many IDPs bind to ordered proteins and as a result of the interaction adopt a stable structure. In accord, complex structures involving binding sites in IDPs are available. DIBS offers a collection of these complexes where exactly one protein chain is disordered and all other proteins are ordered (i.e. are stable in their isolated form that is approved by available monomeric structures).","abbreviation":"DIBS","data_curation":{"url":"https://dibs.enzim.ttk.mta.hu/help.php","type":"manual"},"support_links":[{"url":"http://dibs.enzim.ttk.mta.hu/help.php","name":"DIBS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://dibs.enzim.ttk.mta.hu/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001009","bsg-d001009"],"name":"FAIRsharing record for: Disordered Binding Sites Database","abbreviation":"DIBS","url":"https://fairsharing.org/10.25504/FAIRsharing.rt4gyp","doi":"10.25504/FAIRsharing.rt4gyp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Disordered Binding Sites (DIBS) is a repository of protein complexes that are formed by ordered and disordered proteins. Intrinsically disordered proteins (IDPs) do not have a stable 3D structure in isolation and therefore they defy structure determination by X-ray or NMR. However, many IDPs bind to ordered proteins and as a result of the interaction adopt a stable structure. In accord, complex structures involving binding sites in IDPs are available. DIBS offers a collection of these complexes where exactly one protein chain is disordered and all other proteins are ordered (i.e. are stable in their isolated form that is approved by available monomeric structures).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12791}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein interaction","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[],"licence_links":[{"licence_name":"DIBS Free for academic and non-profit use","licence_id":241,"licence_url":"http://dibs.enzim.ttk.mta.hu/help.php","link_id":1918,"relation":"undefined"}],"grants":[{"id":2797,"fairsharing_record_id":2526,"organisation_id":1414,"relation":"maintains","created_at":"2021-09-30T09:25:56.571Z","updated_at":"2021-09-30T09:25:56.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":1414,"name":"Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2798,"fairsharing_record_id":2526,"organisation_id":1909,"relation":"maintains","created_at":"2021-09-30T09:25:56.600Z","updated_at":"2021-09-30T09:25:56.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":1909,"name":"MTA-ELTE Bioinformatics Research Group","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2527","type":"fairsharing_records","attributes":{"created_at":"2017-10-17T13:39:06.000Z","updated_at":"2024-07-09T14:25:05.020Z","metadata":{"doi":"10.25504/FAIRsharing.d3bm3v","name":"Database of fuzzy protein complexes","status":"deprecated","contacts":[{"contact_name":"Monika Fuxreiter","contact_email":"fmoni@med.unideb.hu"}],"homepage":"http://protdyn-database.org/","citations":[],"identifier":2527,"description":"FuzDB compiles experimentally observed fuzzy protein complexes, where intrinsic disorder (ID) is maintained upon interacting with a partner (protein, nucleic acid or small molecule) and directly impacts biological function. Entries in the database have both (i) structural evidence demonstrating the structural multiplicity or dynamic disorder of the ID region(s) in the partner bound form of the protein and (ii) in vitro or in vivo biological evidence that indicates the significance of the fuzzy region(s) in the formation, function or regulation of the assembly. Unlike the other intrinsically disordered or unfolded protein databases, FuzDB focuses on ID regions within a biological context, including higher-order assemblies and presents a detailed analysis of the structural and functional data.","abbreviation":"FuzDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://protdyn-database.org/faqs.php","name":"Resource FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://protdyn-database.org/help.php","name":"Database Help","type":"Help documentation"},{"url":"http://protdyn-database.org/analysis.php","name":"Fuzzy Complex Analysis Help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001010","bsg-d001010"],"name":"FAIRsharing record for: Database of fuzzy protein complexes","abbreviation":"FuzDB","url":"https://fairsharing.org/10.25504/FAIRsharing.d3bm3v","doi":"10.25504/FAIRsharing.d3bm3v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FuzDB compiles experimentally observed fuzzy protein complexes, where intrinsic disorder (ID) is maintained upon interacting with a partner (protein, nucleic acid or small molecule) and directly impacts biological function. Entries in the database have both (i) structural evidence demonstrating the structural multiplicity or dynamic disorder of the ID region(s) in the partner bound form of the protein and (ii) in vitro or in vivo biological evidence that indicates the significance of the fuzzy region(s) in the formation, function or regulation of the assembly. Unlike the other intrinsically disordered or unfolded protein databases, FuzDB focuses on ID regions within a biological context, including higher-order assemblies and presents a detailed analysis of the structural and functional data.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12792}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein structure","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":921,"pubmed_id":27794553,"title":"FuzDB: database of fuzzy complexes, a tool to develop stochastic structure-function relationships for protein complexes and higher-order assemblies.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1019","authors":"Miskei M,Antal C,Fuxreiter M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1019","created_at":"2021-09-30T08:24:01.695Z","updated_at":"2021-09-30T11:28:55.359Z"}],"licence_links":[],"grants":[{"id":2800,"fairsharing_record_id":2527,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:25:56.668Z","updated_at":"2021-09-30T09:29:59.180Z","grant_id":500,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"NN 106562","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2799,"fairsharing_record_id":2527,"organisation_id":1891,"relation":"funds","created_at":"2021-09-30T09:25:56.637Z","updated_at":"2021-09-30T09:31:36.769Z","grant_id":1248,"is_lead":false,"saved_state":{"id":1891,"name":"Momentum Program of the Hungarian Academy of Sciences, Hungary","grant":"LP2012-41","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2518","type":"fairsharing_records","attributes":{"created_at":"2017-10-22T16:30:15.000Z","updated_at":"2023-06-23T15:36:41.826Z","metadata":{"doi":"10.25504/FAIRsharing.6y9h91","name":"ProteomicsDB","status":"ready","contacts":[{"contact_email":"proteomicsdb@wzw.tum.de"}],"homepage":"https://www.proteomicsdb.org/","identifier":2518,"description":"ProteomicsDB is a protein-centric in-memory database for the exploration of large collections of quantitative mass spectrometry-based proteomics data. ProteomicsDB was first released in 2014 to enable the interactive exploration of the first draft of the human proteome. To date, it contains quantitative data from 78 projects totalling over 19k LC-MS/MS experiments. A standardized analysis pipeline enables comparisons between multiple datasets to facilitate the exploration of protein expression across hundreds of tissues, body fluids and cell lines. We recently extended the data model to enable the storage and integrated visualization of other quantitative omics data. This includes transcriptomics data from e. g. NCBI GEO, protein-protein interaction information from STRING, functional annotations from KEGG, drug-sensitivity/selectivity data from several public sources and reference mass spectra from the ProteomeTools project. The extended functionality transforms ProteomicsDB into a multi-purpose resource connecting quantification and meta-data for each protein. The rich user interface helps researchers to navigate all data sources in either a protein-centric or multi-protein-centric manner. Several options are available to download data manually, while our application programming interface enables accessing quantitative data systematically.","abbreviation":"PrDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.proteomicsdb.org/proteomicsdb/#faq","name":"Proteomics DB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.proteomicsdb.org/proteomicsdb/#analytics","name":"Analytics","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013408","name":"re3data:r3d100013408","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.proteomicsdb.org/disclaimer","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001001","bsg-d001001"],"name":"FAIRsharing record for: ProteomicsDB","abbreviation":"PrDB","url":"https://fairsharing.org/10.25504/FAIRsharing.6y9h91","doi":"10.25504/FAIRsharing.6y9h91","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProteomicsDB is a protein-centric in-memory database for the exploration of large collections of quantitative mass spectrometry-based proteomics data. ProteomicsDB was first released in 2014 to enable the interactive exploration of the first draft of the human proteome. To date, it contains quantitative data from 78 projects totalling over 19k LC-MS/MS experiments. A standardized analysis pipeline enables comparisons between multiple datasets to facilitate the exploration of protein expression across hundreds of tissues, body fluids and cell lines. We recently extended the data model to enable the storage and integrated visualization of other quantitative omics data. This includes transcriptomics data from e. g. NCBI GEO, protein-protein interaction information from STRING, functional annotations from KEGG, drug-sensitivity/selectivity data from several public sources and reference mass spectra from the ProteomeTools project. The extended functionality transforms ProteomicsDB into a multi-purpose resource connecting quantification and meta-data for each protein. The rich user interface helps researchers to navigate all data sources in either a protein-centric or multi-protein-centric manner. Several options are available to download data manually, while our application programming interface enables accessing quantitative data systematically.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12788}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Proteomics","Life Science","Transcriptomics"],"domains":["Mass spectrum","Molecular interaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1095,"pubmed_id":24870543,"title":"Mass-spectrometry-based draft of the human proteome.","year":2014,"url":"http://doi.org/10.1038/nature13319","authors":"Wilhelm M,Schlegl J,Hahne H,Gholami AM,Lieberenz M,Savitski MM,Ziegler E,Butzmann L,Gessulat S,Marx H,Mathieson T,Lemeer S,Schnatbaum K,Reimer U,Wenschuh H,Mollenhauer M,Slotta-Huspenina J,Boese JH,Bantscheff M,Gerstmair A,Faerber F,Kuster B","journal":"Nature","doi":"10.1038/nature13319","created_at":"2021-09-30T08:24:21.245Z","updated_at":"2021-09-30T08:24:21.245Z"}],"licence_links":[],"grants":[{"id":2783,"fairsharing_record_id":2518,"organisation_id":2720,"relation":"maintains","created_at":"2021-09-30T09:25:56.098Z","updated_at":"2021-09-30T09:25:56.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":2720,"name":"Technical University of Munich","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2504","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T13:56:30.000Z","updated_at":"2023-12-15T10:30:35.854Z","metadata":{"doi":"10.25504/FAIRsharing.hm1mfg","name":"Archaeology Data Service","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"help@archaeologydataservice.ac.uk"}],"homepage":"http://archaeologydataservice.ac.uk/about.xhtml","identifier":2504,"description":"The Archaeology Data Service (ADS) supports research, learning and teaching with freely available, high quality and dependable digital resources. The ADS promotes good practice in the use of digital data in archaeology, it provides technical advice to the research community, and supports the deployment of digital technologies.","abbreviation":"ADS","data_curation":{"type":"none"},"support_links":[{"url":"https://archaeologydataservice.ac.uk/about/help.xhtml","name":"ADS FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/ADS_Update","name":"Twitter","type":"Twitter"}],"year_creation":1996,"data_versioning":"no","associated_tools":[{"url":"http://archaeologydataservice.ac.uk/archsearch/basic.xhtml","name":"ArchSearch"},{"url":"https://archaeologydataservice.ac.uk/archive/","name":"ADS Archives"},{"url":"https://archaeologydataservice.ac.uk/library/","name":"ADS LIbrary"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100000006","name":"re3data:r3d100000006","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://archaeologydataservice.ac.uk/deposit-data/","type":"controlled","notes":"Payment is required to deposit data"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000986","bsg-d000986"],"name":"FAIRsharing record for: Archaeology Data Service","abbreviation":"ADS","url":"https://fairsharing.org/10.25504/FAIRsharing.hm1mfg","doi":"10.25504/FAIRsharing.hm1mfg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Archaeology Data Service (ADS) supports research, learning and teaching with freely available, high quality and dependable digital resources. The ADS promotes good practice in the use of digital data in archaeology, it provides technical advice to the research community, and supports the deployment of digital technologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Archaeology","Humanities","Prehistory","Natural Science","History"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"ADS Terms of Use and Access","licence_id":12,"licence_url":"https://archaeologydataservice.ac.uk/advice/termsOfUseAndAccess.xhtml","link_id":982,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":979,"relation":"undefined"}],"grants":[{"id":2738,"fairsharing_record_id":2504,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:54.232Z","updated_at":"2021-09-30T09:25:54.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2741,"fairsharing_record_id":2504,"organisation_id":117,"relation":"funds","created_at":"2021-09-30T09:25:54.350Z","updated_at":"2021-09-30T09:25:54.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":117,"name":"Arts and Humanities Research Council, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2736,"fairsharing_record_id":2504,"organisation_id":3154,"relation":"maintains","created_at":"2021-09-30T09:25:54.171Z","updated_at":"2021-09-30T09:25:54.171Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2737,"fairsharing_record_id":2504,"organisation_id":3154,"relation":"funds","created_at":"2021-09-30T09:25:54.195Z","updated_at":"2021-09-30T09:25:54.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2739,"fairsharing_record_id":2504,"organisation_id":1252,"relation":"funds","created_at":"2021-09-30T09:25:54.275Z","updated_at":"2021-09-30T09:25:54.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":1252,"name":"Historic Environment Scotland","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2740,"fairsharing_record_id":2504,"organisation_id":1761,"relation":"funds","created_at":"2021-09-30T09:25:54.313Z","updated_at":"2021-09-30T09:25:54.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1761,"name":"Marine Environmental Data and Information Network","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2742,"fairsharing_record_id":2504,"organisation_id":1251,"relation":"funds","created_at":"2021-09-30T09:25:54.392Z","updated_at":"2021-09-30T09:25:54.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":1251,"name":"Historic England, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2505","type":"fairsharing_records","attributes":{"created_at":"2017-08-10T14:57:26.000Z","updated_at":"2024-01-24T06:56:53.904Z","metadata":{"doi":"10.25504/FAIRsharing.w55kwn","name":"DANS-EASY Electronic Archiving System","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"info@dans.knaw.nl"}],"homepage":"https://easy.dans.knaw.nl/ui/home","citations":[],"identifier":2505,"description":"EASY is the online archiving system of Data Archiving and Networked Services (DANS). EASY provides access to thousands of datasets in the humanities, the social sciences and other disciplines. EASY can also be used for the online depositing of research data. DANS encourages researchers to make there digital research data and related outputs Findable, Accessible, Interoperable and Reusable.","abbreviation":"EASY","data_curation":{"type":"not found"},"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010214","name":"re3data:r3d100010214","portal":"re3data"}],"deprecation_date":"2024-01-24","deprecation_reason":"Data Archiving and Networked Services (DANS), part of the Royal Netherlands Academy of Arts and Sciences (KNAW), is abandoning its generic repository EASY, that has now been replaced by four thematic Data Stations:\n- DANS Data Station Archaeology: https://archaeology.datastations.nl\n- DANS Data Station Social Sciences and Humanities: https://ssh.datastations.nl/\n- DANS Data Station Life Sciences: https://lifesciences.datastations.nl\n- DANS Data Station Physical \u0026 Technical Sciences: https://phys-techsciences.datastations.nl","data_access_condition":{"url":"https://easy.dans.knaw.nl/ui/browse;jsessionid=CC70F3B0771961F366BB4C113DBE5A02","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://easy.dans.knaw.nl/ui/deposit;jsessionid=CC70F3B0771961F366BB4C113DBE5A02?wicket:interface=:5::::","type":"controlled","notes":"A login account is required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000987","bsg-d000987"],"name":"FAIRsharing record for: DANS-EASY Electronic Archiving System","abbreviation":"EASY","url":"https://fairsharing.org/10.25504/FAIRsharing.w55kwn","doi":"10.25504/FAIRsharing.w55kwn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EASY is the online archiving system of Data Archiving and Networked Services (DANS). EASY provides access to thousands of datasets in the humanities, the social sciences and other disciplines. EASY can also be used for the online depositing of research data. DANS encourages researchers to make there digital research data and related outputs Findable, Accessible, Interoperable and Reusable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Archaeology","Humanities","Social Science","Earth Science","Life Science","Social and Behavioural Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":2744,"fairsharing_record_id":2505,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:25:54.475Z","updated_at":"2021-09-30T09:25:54.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2743,"fairsharing_record_id":2505,"organisation_id":2464,"relation":"maintains","created_at":"2021-09-30T09:25:54.432Z","updated_at":"2021-09-30T09:25:54.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":2464,"name":"Royal Netherlands Academy of Arts and Sciences","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2542","type":"fairsharing_records","attributes":{"created_at":"2018-01-23T21:04:57.000Z","updated_at":"2023-12-15T10:27:36.155Z","metadata":{"doi":"10.25504/FAIRsharing.kwzydf","name":"Borealis","status":"ready","contacts":[{"contact_name":"Kaitlin Newson","contact_email":"dataverse@scholarsportal.info","contact_orcid":"0000-0001-8739-5823"}],"homepage":"https://borealisdata.ca/","citations":[],"identifier":2542,"description":"Borealis, the Canadian Dataverse Repository, is a bilingual, multidisciplinary, secure, Canadian research data repository, supported by academic libraries and research institutions across Canada. Borealis supports open discovery, management, sharing, and preservation of Canadian research data. Please note this resource used to be called the Scholars Portal Dataverse.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/BorealisData","name":"@BorealisData","type":"Twitter"},{"url":"https://learn.scholarsportal.info/all-guides/borealis/","name":"User Guide","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/scholarsportal/Dataverse-Data-Curation-Tool","name":"Data Curation Tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010691","name":"re3data:r3d100010691","portal":"re3data"}],"data_access_condition":{"url":"https://learn.scholarsportal.info/all-guides/borealis/criteria-for-depositing-data/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://borealisdata.ca/preservationplan/","name":"Borealis Preservation Plan"},"data_deposition_condition":{"url":"https://learn.scholarsportal.info/all-guides/borealis/criteria-for-depositing-data/","type":"controlled","notes":"Deposition for Canadian researchers only"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001025","bsg-d001025"],"name":"FAIRsharing record for: Borealis","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.kwzydf","doi":"10.25504/FAIRsharing.kwzydf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Borealis, the Canadian Dataverse Repository, is a bilingual, multidisciplinary, secure, Canadian research data repository, supported by academic libraries and research institutions across Canada. Borealis supports open discovery, management, sharing, and preservation of Canadian research data. Please note this resource used to be called the Scholars Portal Dataverse.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Experimental measurement","Protocol","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3113,"relation":"applies_to_content"}],"grants":[{"id":2847,"fairsharing_record_id":2542,"organisation_id":2348,"relation":"funds","created_at":"2021-09-30T09:25:58.406Z","updated_at":"2021-09-30T09:25:58.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":2348,"name":"Portage Network","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2848,"fairsharing_record_id":2542,"organisation_id":364,"relation":"funds","created_at":"2021-09-30T09:25:58.436Z","updated_at":"2021-09-30T09:25:58.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":364,"name":"CANARIE Network Enabled Platforms Program","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2849,"fairsharing_record_id":2542,"organisation_id":2244,"relation":"maintains","created_at":"2021-09-30T09:25:58.478Z","updated_at":"2021-09-30T09:25:58.478Z","grant_id":null,"is_lead":true,"saved_state":{"id":2244,"name":"Ontario Council of University Libraries","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbUlDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3807defc12587b0973cb6c06607c3f5ec539606b/homepage-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2543","type":"fairsharing_records","attributes":{"created_at":"2017-11-30T12:31:45.000Z","updated_at":"2023-12-15T10:32:27.729Z","metadata":{"doi":"10.25504/FAIRsharing.hren8w","name":"American Society of Testing and Materials - Standards Repository","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"service@astm.org"}],"homepage":"https://www.astm.org/Standard/standards-and-publications.html","citations":[],"identifier":2543,"description":"The American Society of Testing and Materials - Standards (ASTM Standards) provides an online repository of all ASTM standards, which are used worldwide to improve product quality, enhance safety and facilitate trade. These standards are accessible via a subscription model or can be individually purchased.","abbreviation":"ASTM Standards","data_curation":{"type":"none"},"support_links":[{"url":"https://www.astm.org/CONTACT/index.html","name":"ASTM Contact Form","type":"Contact form"},{"url":"http://www.youtube.com/ASTMIntl","name":"YouTube Channel","type":"Video"},{"url":"https://www.astm.org/RSS/index.html","name":"RSS Feed Information","type":"Blog/News"},{"url":"https://twitter.com/ASTMIntl","name":"@ASTMIntl","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010409","name":"re3data:r3d100010409","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001026","bsg-d001026"],"name":"FAIRsharing record for: American Society of Testing and Materials - Standards Repository","abbreviation":"ASTM Standards","url":"https://fairsharing.org/10.25504/FAIRsharing.hren8w","doi":"10.25504/FAIRsharing.hren8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The American Society of Testing and Materials - Standards (ASTM Standards) provides an online repository of all ASTM standards, which are used worldwide to improve product quality, enhance safety and facilitate trade. These standards are accessible via a subscription model or can be individually purchased.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Engineering Science","Data Governance","Materials Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ASTM International Copyright and Permissions","licence_id":976,"licence_url":"https://www.astm.org/copyright-and-permissions","link_id":2820,"relation":"applies_to_content"}],"grants":[{"id":2850,"fairsharing_record_id":2543,"organisation_id":89,"relation":"maintains","created_at":"2021-09-30T09:25:58.529Z","updated_at":"2021-09-30T09:25:58.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":89,"name":"American Society of Testing and Materials (ASTM) International, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2544","type":"fairsharing_records","attributes":{"created_at":"2018-01-02T16:32:17.000Z","updated_at":"2023-12-15T10:30:37.394Z","metadata":{"doi":"10.25504/FAIRsharing.j3y6a0","name":"Patient-Derived tumor Xenograft Finder","status":"ready","contacts":[{"contact_name":"Zinaida Perova","contact_email":"zina@ebi.ac.uk"}],"homepage":"http://www.pdxfinder.org","citations":[{"doi":"10.1093/nar/gky984","pubmed_id":30535239,"publication_id":2773}],"identifier":2544,"description":"PDX Finder is an open repository for the upload and storage of clinical, genomic and functional Patient-Derived Xenograph (PDX) data which provides a comprehensive global catalogue of PDX models available for researchers across distributed repository databases. Integrated views are provided for histopathological image data, molecular classification of tumors, host mouse strain metadata, tumor genomic data and metrics on tumor response to chemotherapeutics. The data model for PDX Finder is based on the minimal information standard for PDX models developed in collaboration with a broad range of stakeholders who create and/or use PDX models in basic and pre-clinical cancer research.","abbreviation":"PDX Finder","data_curation":{"type":"manual"},"support_links":[{"url":"helpdesk@pdxfinder.org","name":"Helpdesk contact","type":"Support email"},{"url":"http://www.pdxfinder.org/about/","name":"Objectives","type":"Help documentation"},{"url":"http://www.pdxfinder.org/about/data-available-dashboard/","name":"Data Summary","type":"Help documentation"},{"url":"http://www.pdxfinder.org/pdx-data-submission-integration-and-distribution/","name":"Data Flow","type":"Help documentation"},{"url":"https://twitter.com/PDXFinder","name":"@PDXFinder","type":"Twitter"}],"year_creation":2017,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012961","name":"re3data:r3d100012961","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.cancermodels.org/submit","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001027","bsg-d001027"],"name":"FAIRsharing record for: Patient-Derived tumor Xenograft Finder","abbreviation":"PDX Finder","url":"https://fairsharing.org/10.25504/FAIRsharing.j3y6a0","doi":"10.25504/FAIRsharing.j3y6a0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDX Finder is an open repository for the upload and storage of clinical, genomic and functional Patient-Derived Xenograph (PDX) data which provides a comprehensive global catalogue of PDX models available for researchers across distributed repository databases. Integrated views are provided for histopathological image data, molecular classification of tumors, host mouse strain metadata, tumor genomic data and metrics on tumor response to chemotherapeutics. The data model for PDX Finder is based on the minimal information standard for PDX models developed in collaboration with a broad range of stakeholders who create and/or use PDX models in basic and pre-clinical cancer research.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12796}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Translational Medicine","Preclinical Studies"],"domains":["Model organism","Cancer","Tumor","Patient care","Histology","Disease"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Patient derived xenograft PDX"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":2773,"pubmed_id":30535239,"title":"PDX Finder: A portal for patient-derived tumor xenograft model discovery.","year":2018,"url":"http://doi.org/10.1093/nar/gky984","authors":"Conte N,Mason JC,Halmagyi C,Neuhauser S,Mosaku A,Yordanova G,Chatzipli A,Begley DA,Krupke DM,Parkinson H,Meehan TF,Bult CC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky984","created_at":"2021-09-30T08:27:40.878Z","updated_at":"2021-09-30T11:29:43.770Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2304,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2302,"relation":"undefined"},{"licence_name":"The Jackson Laboratory Terms of Use","licence_id":785,"licence_url":"https://www.jax.org/terms-of-use","link_id":2303,"relation":"undefined"}],"grants":[{"id":8297,"fairsharing_record_id":2544,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:31:58.132Z","updated_at":"2021-09-30T09:31:58.186Z","grant_id":1410,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"U24 CA253529 01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2851,"fairsharing_record_id":2544,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:58.570Z","updated_at":"2021-09-30T09:25:58.570Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2852,"fairsharing_record_id":2544,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:25:58.612Z","updated_at":"2021-09-30T09:25:58.612Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2853,"fairsharing_record_id":2544,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:25:58.650Z","updated_at":"2021-09-30T09:29:31.462Z","grant_id":283,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"U24 CA204781 01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8043,"fairsharing_record_id":2544,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:30:36.838Z","updated_at":"2021-09-30T09:30:36.888Z","grant_id":790,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"R01 CA089713","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2545","type":"fairsharing_records","attributes":{"created_at":"2017-11-30T12:59:46.000Z","updated_at":"2023-12-15T10:30:23.065Z","metadata":{"doi":"10.25504/FAIRsharing.khqejc","name":"ThermoML Archive","status":"ready","contacts":[{"contact_name":"Kenneth Kroenlein","contact_email":"kenneth.kroenlein@nist.gov"}],"homepage":"https://www.nist.gov/mml/acmd/trc/thermoml/thermoml-archive","identifier":2545,"description":"The ThermoML Archive is a storage facility of experimental thermophysical and thermochemical property data. The repository was created through the cooperation between the Thermodynamics Research Center (TRC), NIST and: Journal of Chemical and Engineering Data (JCED), Journal of Chemical Thermodynamics, Fluid Phase Equilibria, Thermochimica Acta, and the International Journal of Thermophysics. The ThermoML files corresponding to articles in the journals are available with permission of the journal publishers.","abbreviation":"ThermoML Archive","data_curation":{"url":"https://www.nist.gov/mml/acmd/trc","type":"manual"},"support_links":[{"url":"https://trc.nist.gov/RSS/","name":"RSS Feeds by Journal","type":"Blog/News"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001028","bsg-d001028"],"name":"FAIRsharing record for: ThermoML Archive","abbreviation":"ThermoML Archive","url":"https://fairsharing.org/10.25504/FAIRsharing.khqejc","doi":"10.25504/FAIRsharing.khqejc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ThermoML Archive is a storage facility of experimental thermophysical and thermochemical property data. The repository was created through the cooperation between the Thermodynamics Research Center (TRC), NIST and: Journal of Chemical and Engineering Data (JCED), Journal of Chemical Thermodynamics, Fluid Phase Equilibria, Thermochimica Acta, and the International Journal of Thermophysics. The ThermoML files corresponding to articles in the journals are available with permission of the journal publishers.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11795}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Thermodynamics","Chemistry","Chemical Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2854,"fairsharing_record_id":2545,"organisation_id":2824,"relation":"maintains","created_at":"2021-09-30T09:25:58.683Z","updated_at":"2021-09-30T09:25:58.683Z","grant_id":null,"is_lead":true,"saved_state":{"id":2824,"name":"Thermodynamics Research Center (TRC), National Institute of Standards and Technology (NIST)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2529","type":"fairsharing_records","attributes":{"created_at":"2017-10-19T05:00:53.000Z","updated_at":"2023-12-15T10:29:16.669Z","metadata":{"doi":"10.25504/FAIRsharing.64mr5a","name":"NASA GeneLab","status":"in_development","contacts":[{"contact_name":"Sylvain Costes","contact_email":"sylvain.v.costes@nasa.gov","contact_orcid":"0000-0002-8542-2389"}],"homepage":"https://genelab.nasa.gov/","citations":[{"doi":"10.1093/nar/gkaa887","pubmed_id":33080015,"publication_id":195}],"identifier":2529,"description":"NASA GeneLab expands scientists’ access to experiments that explore the molecular response of terrestrial biology to spaceflight environments. The vast amounts of raw data generated by experiments aboard the International Space Station are being made available to a worldwide community of scientists and computational researchers.","abbreviation":"genelab","data_curation":{"type":"manual"},"support_links":[{"url":"https://genelab.nasa.gov/faq/","name":"GeneLab FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/help/GeneLab_User_Manual_2.0.pdf","name":"User Manual","type":"Help documentation"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/help/GeneLab_Submission_Guide_2.0.pdf","name":"Data Submission Guide","type":"Help documentation"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/ISA/GeneLab_Metadata_Tutorial.pdf","name":"GeneLab ISA Creator Tutorial","type":"Help documentation"},{"url":"https://genelab.nasa.gov/about/","name":"About GeneLab","type":"Help documentation"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/help/Whats_New_GL.pdf","name":"What's New in GeneLab","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","associated_tools":[{"url":"http://www.genomespace.org","name":"GenomeSpace beta4"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013680","name":"re3data:r3d100013680","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_017658","name":"SciCrunch:RRID:SCR_017658","portal":"SciCrunch"}],"data_access_condition":{"url":"https://osdr.nasa.gov/bio/help/terms.html","type":"open","notes":"All data in the Open Science Data Repository continues to be accessible to all users without user authentications."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://osdr.nasa.gov/bio/help/faq.html#2.0","type":"open","notes":"Research Data Submission Agreement"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001012","bsg-d001012"],"name":"FAIRsharing record for: NASA GeneLab","abbreviation":"genelab","url":"https://fairsharing.org/10.25504/FAIRsharing.64mr5a","doi":"10.25504/FAIRsharing.64mr5a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NASA GeneLab expands scientists’ access to experiments that explore the molecular response of terrestrial biology to spaceflight environments. The vast amounts of raw data generated by experiments aboard the International Space Station are being made available to a worldwide community of scientists and computational researchers.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12793}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metagenomics","Genomics","Epigenetics","Proteomics","Life Science","Metabolomics","Transcriptomics","Systems Biology"],"domains":["Omics data analysis"],"taxonomies":["Acinetobacter pittii","Arabidopsis thaliana","Aspergillus fumigatus","Aspergillus niger","Aspergillus terreus","Aureobasidium pullulans","Bacillus","Bacillus subtilis","Beauveria bassiana","Brassica rapa","Caenorhabditis elegans","Candida albicans","Ceratopteris richardii","Cladosporium cladosporioides","Cladosporium sphaerospermum","Danio rerio","Daphnia magna","Drosophila melanogaster","Enterobacter","Enterobacteria phage lambda","environmental samples","Escherichia coli","Euprymna scolopes","Fusarium solani","Homo sapiens","Klebsiella","Microbiota","Mus musculus","Mycobacterium marinum","Oryzias latipes","Pantoea conspicua","Pseudomonas aeruginosa","Rattus norvegicus","Rhodospirillum rubrum","Saccharomyces cerevisiae","Staphylococcus","Staphylococcus aureus","Streptococcus mutans","Trichoderma virens"],"user_defined_tags":["Multi-omics"],"countries":["United States"],"publications":[{"id":185,"pubmed_id":30815061,"title":"FAIRness and Usability for Open-access Omics Data Systems.","year":2019,"url":"https://www.ncbi.nlm.nih.gov/pubmed/30815061","authors":"Berrios DC,Beheshti A,Costes SV","journal":"AMIA Annu Symp Proc","doi":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371294/","created_at":"2021-09-30T08:22:40.272Z","updated_at":"2021-09-30T08:22:40.272Z"},{"id":195,"pubmed_id":33080015,"title":"NASA GeneLab: interfaces for the exploration of space omics data.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa887","authors":"Berrios DC,Galazka J,Grigorev K,Gebre S,Costes SV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa887","created_at":"2021-09-30T08:22:41.345Z","updated_at":"2021-09-30T11:28:43.941Z"}],"licence_links":[],"grants":[{"id":2807,"fairsharing_record_id":2529,"organisation_id":1934,"relation":"maintains","created_at":"2021-09-30T09:25:56.903Z","updated_at":"2021-09-30T09:25:56.903Z","grant_id":null,"is_lead":true,"saved_state":{"id":1934,"name":"NASA Ames Research Center, CA, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2806,"fairsharing_record_id":2529,"organisation_id":1935,"relation":"funds","created_at":"2021-09-30T09:25:56.861Z","updated_at":"2021-09-30T09:25:56.861Z","grant_id":null,"is_lead":false,"saved_state":{"id":1935,"name":"NASA Biological and Physical Sciences Division","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2549","type":"fairsharing_records","attributes":{"created_at":"2018-01-05T15:13:50.000Z","updated_at":"2023-06-23T14:46:32.550Z","metadata":{"doi":"10.25504/FAIRsharing.qtm44s","name":"UK Data Archive","status":"ready","contacts":[{"contact_name":"Contact email","contact_email":"info@data-archive.ac.uk"}],"homepage":"http://www.data-archive.ac.uk","identifier":2549,"description":"The UK Data Archive is an internationally acknowledged centre of expertise in acquiring, curating and providing access to social science and humanities data. We were founded in 1967, at the University of Essex, with the support of the then Social Science Research Council, with the aim of curating high-quality research data for analysis and reuse. The Economic and Social Research Council (ESRC) has continued to provide long-term commitment to the Data Archive and we are now a significant part of their UK data infrastructure. Since 2005 we have been designated a Place of Deposit by the National Archives, allowing us to curate public records. The UK Data Archive is the lead organisation of the UK Data Service, which provides unified access to the UK's largest collection of social, economic and population data. Funded by the ESRC, the UK Data Service provides access to regional, national and international social and economic data, support for policy-relevant research and guidance and training for the development of skills in data use.","abbreviation":"UKDA","data_curation":{"url":"https://www.data-archive.ac.uk/managing-data/digital-curation-and-data-publishing/curation-process/","type":"manual/automated"},"support_links":[{"url":"http://www.data-archive.ac.uk/curate","name":"Curation guide","type":"Help documentation"}],"year_creation":1967,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010215","name":"re3data:r3d100010215","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014708","name":"SciCrunch:RRID:SCR_014708","portal":"SciCrunch"}],"data_access_condition":{"url":"Free registration is required.","type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.data-archive.ac.uk/deposit/","type":"open","notes":"All offers and deposits of data to be curated at the UK Data Archive are managed through the UK Data Service."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001032","bsg-d001032"],"name":"FAIRsharing record for: UK Data Archive","abbreviation":"UKDA","url":"https://fairsharing.org/10.25504/FAIRsharing.qtm44s","doi":"10.25504/FAIRsharing.qtm44s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Data Archive is an internationally acknowledged centre of expertise in acquiring, curating and providing access to social science and humanities data. We were founded in 1967, at the University of Essex, with the support of the then Social Science Research Council, with the aim of curating high-quality research data for analysis and reuse. The Economic and Social Research Council (ESRC) has continued to provide long-term commitment to the Data Archive and we are now a significant part of their UK data infrastructure. Since 2005 we have been designated a Place of Deposit by the National Archives, allowing us to curate public records. The UK Data Archive is the lead organisation of the UK Data Service, which provides unified access to the UK's largest collection of social, economic and population data. Funded by the ESRC, the UK Data Service provides access to regional, national and international social and economic data, support for policy-relevant research and guidance and training for the development of skills in data use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Humanities","Social Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":2861,"fairsharing_record_id":2549,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:58.971Z","updated_at":"2021-09-30T09:25:58.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2864,"fairsharing_record_id":2549,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:25:59.083Z","updated_at":"2021-09-30T09:25:59.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2866,"fairsharing_record_id":2549,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:25:59.162Z","updated_at":"2021-09-30T09:25:59.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2860,"fairsharing_record_id":2549,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:58.913Z","updated_at":"2021-09-30T09:25:58.913Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2862,"fairsharing_record_id":2549,"organisation_id":1600,"relation":"funds","created_at":"2021-09-30T09:25:59.012Z","updated_at":"2021-09-30T09:25:59.012Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2863,"fairsharing_record_id":2549,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:25:59.050Z","updated_at":"2021-09-30T09:25:59.050Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2865,"fairsharing_record_id":2549,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:59.120Z","updated_at":"2021-09-30T09:25:59.120Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2550","type":"fairsharing_records","attributes":{"created_at":"2018-01-25T18:23:37.000Z","updated_at":"2024-04-08T10:34:35.640Z","metadata":{"doi":"10.25504/FAIRsharing.brrt0b","name":"Datasets2Tools","status":"ready","contacts":[{"contact_name":"Avi Ma'ayan","contact_email":"avi.maayan@mssm.edu","contact_orcid":"0000-0002-6904-1017"}],"homepage":"https://maayanlab.cloud/datasets2tools","citations":[],"identifier":2550,"description":"Biomedical data repositories such as the Gene Expression Omnibus (GEO) enable the search and discovery of relevant biomedical digital data objects. Similarly, resources such as OMICtools index bioinformatics tools that can extract knowledge from these digital data objects. However, systematic access to pre-generated “canned\" analyses applied by bioinformatics tools to biomedical digital data objects is currently not available. Datasets2Tools is a repository indexing 31,473 canned bioinformatics analyses applied to 6,431 datasets. The Datasets2Tools repository also contains the indexing of 4,901 published bioinformatics software tools, and all the analyzed datasets. Datasets2Tools enables users to rapidly find datasets, tools, and canned analyses through an intuitive web interface, a Google Chrome extension, and an API. Furthermore, Datasets2Tools provides a platform for contributing canned analyses, datasets, and tools, as well as evaluating these digital objects according to their compliance with the findable, accessible, interoperable, and reusable (FAIR) principles. By incorporating community engagement, Datasets2Tools promotes sharing of digital resources to stimulate the extraction of knowledge from biomedical research data.","abbreviation":"D2T","data_curation":{"url":"https://maayanlab.cloud/datasets2tools/help","type":"manual","notes":"Curation done by the user"},"support_links":[{"url":"https://maayanlab.cloud/datasets2tools/help","name":"","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","associated_tools":[{"url":"https://maayanlab.cloud/Enrichr/","name":"Enrichr 1.0"},{"url":"https://maayanlab.cloud/g2e/","name":"GEO2Enrichr 1.0"},{"url":"https://maayanlab.cloud/archs4/","name":"ARCHS4 1.0"}],"data_access_condition":{"url":"https://maayanlab.cloud/datasets2tools/help","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://maayanlab.cloud/datasets2tools/help","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001033","bsg-d001033"],"name":"FAIRsharing record for: Datasets2Tools","abbreviation":"D2T","url":"https://fairsharing.org/10.25504/FAIRsharing.brrt0b","doi":"10.25504/FAIRsharing.brrt0b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biomedical data repositories such as the Gene Expression Omnibus (GEO) enable the search and discovery of relevant biomedical digital data objects. Similarly, resources such as OMICtools index bioinformatics tools that can extract knowledge from these digital data objects. However, systematic access to pre-generated “canned\" analyses applied by bioinformatics tools to biomedical digital data objects is currently not available. Datasets2Tools is a repository indexing 31,473 canned bioinformatics analyses applied to 6,431 datasets. The Datasets2Tools repository also contains the indexing of 4,901 published bioinformatics software tools, and all the analyzed datasets. Datasets2Tools enables users to rapidly find datasets, tools, and canned analyses through an intuitive web interface, a Google Chrome extension, and an API. Furthermore, Datasets2Tools provides a platform for contributing canned analyses, datasets, and tools, as well as evaluating these digital objects according to their compliance with the findable, accessible, interoperable, and reusable (FAIR) principles. By incorporating community engagement, Datasets2Tools promotes sharing of digital resources to stimulate the extraction of knowledge from biomedical research data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics"],"domains":["Analysis","Software","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":602,"relation":"undefined"}],"grants":[{"id":2867,"fairsharing_record_id":2550,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:25:59.200Z","updated_at":"2021-09-30T09:25:59.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11535,"fairsharing_record_id":2550,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:09.535Z","updated_at":"2024-03-21T13:58:09.785Z","grant_id":1679,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54HL127624","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2552","type":"fairsharing_records","attributes":{"created_at":"2018-02-13T16:03:33.000Z","updated_at":"2023-12-15T10:32:40.999Z","metadata":{"doi":"10.25504/FAIRsharing.8gzcwa","name":"UniCarb-DB","status":"ready","contacts":[{"contact_name":"Niclas Karlsson","contact_email":"niclas.karlsson@medkem.gu.se","contact_orcid":"0000-0002-3045-2628"}],"homepage":"https://unicarb-db.expasy.org/","citations":[{"doi":"10.1016/j.bbapap.2013.04.018","pubmed_id":23624262,"publication_id":2188}],"identifier":2552,"description":"UniCarb-DB is a curated database of glycomic mass spectrometry fragment data.","abbreviation":"UniCarb-DB","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NG_Karlsson","name":"@NG_Karlsson","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://unicarb-db.expasy.org/about","type":"open","notes":"There is no online form to submit data, but potential contributors are welcome and should contact the database."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001035","bsg-d001035"],"name":"FAIRsharing record for: UniCarb-DB","abbreviation":"UniCarb-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.8gzcwa","doi":"10.25504/FAIRsharing.8gzcwa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniCarb-DB is a curated database of glycomic mass spectrometry fragment data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Health Science","Glycomics","Biomedical Science"],"domains":["Mass spectrum"],"taxonomies":["All"],"user_defined_tags":["Glycome"],"countries":["Australia","Germany","Ireland","Japan","Sweden","Switzerland"],"publications":[{"id":2188,"pubmed_id":23624262,"title":"Validation of the curation pipeline of UniCarb-DB: building a global glycan reference MS/MS repository.","year":2013,"url":"http://doi.org/10.1016/j.bbapap.2013.04.018","authors":"Campbell MP,Nguyen-Khuong T,Hayes CA,Flowers SA,Alagesan K,Kolarich D,Packer NH,Karlsson NG","journal":"Biochim Biophys Acta","doi":"10.1016/j.bbapap.2013.04.018","created_at":"2021-09-30T08:26:26.671Z","updated_at":"2021-09-30T08:26:26.671Z"},{"id":2532,"pubmed_id":27743371,"title":"Databases and Associated Tools for Glycomics and Glycoproteomics.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6493-2_18","authors":"Lisacek F,Mariethoz J,Alocci D,Rudd PM,Abrahams JL,Campbell MP,Packer NH,Stahle J,Widmalm G,Mullen E,Adamczyk B,Rojas-Macias MA,Jin C,Karlsson NG","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6493-2_18","created_at":"2021-09-30T08:27:10.643Z","updated_at":"2021-09-30T08:27:10.643Z"},{"id":2795,"pubmed_id":21398669,"title":"UniCarb-DB: a database resource for glycomic discovery.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr137","authors":"Hayes CA,Karlsson NG,Struwe WB,Lisacek F,Rudd PM,Packer NH,Campbell MP","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr137","created_at":"2021-09-30T08:27:43.662Z","updated_at":"2021-09-30T08:27:43.662Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0 )","licence_id":178,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0","link_id":205,"relation":"undefined"}],"grants":[{"id":2873,"fairsharing_record_id":2552,"organisation_id":3058,"relation":"maintains","created_at":"2021-09-30T09:25:59.399Z","updated_at":"2021-09-30T09:25:59.399Z","grant_id":null,"is_lead":true,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2872,"fairsharing_record_id":2552,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:59.370Z","updated_at":"2021-09-30T09:25:59.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2874,"fairsharing_record_id":2552,"organisation_id":2591,"relation":"maintains","created_at":"2021-09-30T09:25:59.423Z","updated_at":"2021-09-30T09:25:59.423Z","grant_id":null,"is_lead":false,"saved_state":{"id":2591,"name":"Soka University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2875,"fairsharing_record_id":2552,"organisation_id":1741,"relation":"maintains","created_at":"2021-09-30T09:25:59.454Z","updated_at":"2021-09-30T09:25:59.454Z","grant_id":null,"is_lead":false,"saved_state":{"id":1741,"name":"Macquarie University, Sydney, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2533","type":"fairsharing_records","attributes":{"created_at":"2017-11-28T21:57:54.000Z","updated_at":"2023-12-15T10:28:56.486Z","metadata":{"doi":"10.25504/FAIRsharing.8nq9t6","name":"The Network Data Exchange","status":"ready","contacts":[{"contact_name":"Rudolf T. Pillich","contact_email":"rpillich@ucsd.edu","contact_orcid":"0000-0001-8682-0568"}],"homepage":"https://www.ndexbio.org","citations":[{"doi":"10.1007/978-1-4939-6783-4_13","pubmed_id":28150243,"publication_id":1966},{"doi":"10.1016/j.cels.2015.10.001","pubmed_id":26594663,"publication_id":1969},{"doi":"10.1158/0008-5472.CAN-17-0606","pubmed_id":29092941,"publication_id":1992},{"doi":"10.1002/cpz1.258","pubmed_id":null,"publication_id":3151}],"identifier":2533,"description":"NDEx is an online commons where scientists can upload, share, and publicly distribute biological networks and pathway models. The NDEx Project maintains a web-accessible public server, a documentation website, provides seamless connectivity to Cytoscape as well as programmatic access using a variety of languages including Python and Java and R. NDEx users can easily create accounts or sign in using their Google credentials thanks to the supported open authentication (OAUTH2) method and mint DOIs for their networks to use in publications or include in other resources for long term access.","abbreviation":"NDEx","data_curation":{"type":"not found"},"support_links":[{"url":"https://home.ndexbio.org","name":"Informational Website","type":"Blog/News"},{"url":"https://home.ndexbio.org/contact-us/","name":"Contact Us","type":"Contact form"},{"url":"https://home.ndexbio.org/quick-start","name":"User manuals \u0026 Technical docs","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCc7J1020F7e25F-zWEMtM0A","name":"Youtube","type":"Video"},{"url":"https://twitter.com/NDExProject","name":"Twitter Feed","type":"Twitter"},{"url":"https://github.com/ndexbio/ndex-jupyter-notebooks","name":"NDEx Jupyter Notebook Tutorials","type":"Training documentation"},{"url":"https://home.ndexbio.org/faq/","name":"NDEx FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/ndexbio","name":"NDEx Code Repository","type":"Github"},{"url":"https://home.ndexbio.org/release-notes/","name":"NDEx Release Notes","type":"Help documentation"},{"url":"https://home.ndexbio.org/report-a-bug/","name":"Report a Bug","type":"Contact form"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://cytoscape.org/","name":"Cytoscape desktop application for network analysis"},{"url":"http://apps.cytoscape.org/apps/cyndex2","name":"CyNDEx-2 (Cytoscape Core App) "},{"url":"https://www.ndexbio.org/iquery/","name":"NDEx Integrated Query (IQuery)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012690","name":"re3data:r3d100012690","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003943","name":"SciCrunch:RRID:SCR_003943","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://home.ndexbio.org/publishing-in-ndex/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001016","bsg-d001016"],"name":"FAIRsharing record for: The Network Data Exchange","abbreviation":"NDEx","url":"https://fairsharing.org/10.25504/FAIRsharing.8nq9t6","doi":"10.25504/FAIRsharing.8nq9t6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NDEx is an online commons where scientists can upload, share, and publicly distribute biological networks and pathway models. The NDEx Project maintains a web-accessible public server, a documentation website, provides seamless connectivity to Cytoscape as well as programmatic access using a variety of languages including Python and Java and R. NDEx users can easily create accounts or sign in using their Google credentials thanks to the supported open authentication (OAUTH2) method and mint DOIs for their networks to use in publications or include in other resources for long term access.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10821},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12330},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12794}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Microbiology","Epidemiology"],"domains":["Network model","Cancer","Molecular interaction","Genetic interaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":1966,"pubmed_id":28150243,"title":"NDEx: A Community Resource for Sharing and Publishing of Biological Networks.","year":2017,"url":"http://doi.org/10.1007/978-1-4939-6783-4_13","authors":"Pillich RT,Chen J,Rynkov V,Welker D,Pratt D","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6783-4_13","created_at":"2021-09-30T08:26:01.290Z","updated_at":"2021-09-30T08:26:01.290Z"},{"id":1969,"pubmed_id":26594663,"title":"NDEx, the Network Data Exchange.","year":2015,"url":"http://doi.org/10.1016/j.cels.2015.10.001","authors":"Pratt D,Chen J,Welker D,Rivas R,Pillich R,Rynkov V,Ono K,Miello C,Hicks L,Szalma S,Stojmirovic A,Dobrin R,Braxenthaler M,Kuentzer J,Demchak B,Ideker T","journal":"Cell Syst","doi":"10.1016/j.cels.2015.10.001","created_at":"2021-09-30T08:26:01.606Z","updated_at":"2021-09-30T08:26:01.606Z"},{"id":1992,"pubmed_id":29092941,"title":"NDEx 2.0: A Clearinghouse for Research on Cancer Pathways.","year":2017,"url":"http://doi.org/10.1158/0008-5472.CAN-17-0606","authors":"Pratt D,Chen J,Pillich R,Rynkov V,Gary A,Demchak B,Ideker T","journal":"Cancer Res","doi":"10.1158/0008-5472.CAN-17-0606","created_at":"2021-09-30T08:26:04.240Z","updated_at":"2021-09-30T08:26:04.240Z"},{"id":3151,"pubmed_id":null,"title":"NDEx: Accessing Network Models and Streamlining Network Biology Workflows","year":2021,"url":"http://dx.doi.org/10.1002/cpz1.258","authors":"Pillich, Rudolf T.; Chen, Jing; Churas, Christopher; Liu, Sophie; Ono, Keiichiro; Otasek, David; Pratt, Dexter; ","journal":"Current Protocols","doi":"10.1002/cpz1.258","created_at":"2021-12-09T19:42:28.391Z","updated_at":"2021-12-09T19:42:28.391Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":553,"relation":"undefined"},{"licence_name":"NDEx Terms, License and Sources","licence_id":566,"licence_url":"https://www.home.ndexbio.org/disclaimer-license/","link_id":552,"relation":"undefined"}],"grants":[{"id":2817,"fairsharing_record_id":2533,"organisation_id":218,"relation":"undefined","created_at":"2021-09-30T09:25:57.266Z","updated_at":"2021-09-30T09:25:57.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":218,"name":"BindingDB","types":["Lab"],"is_lead":false,"relation":"undefined"}},{"id":2819,"fairsharing_record_id":2533,"organisation_id":630,"relation":"maintains","created_at":"2021-09-30T09:25:57.345Z","updated_at":"2021-09-30T09:25:57.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":630,"name":"Cytoscape","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2815,"fairsharing_record_id":2533,"organisation_id":1955,"relation":"funds","created_at":"2021-09-30T09:25:57.186Z","updated_at":"2021-09-30T09:31:59.154Z","grant_id":1417,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","grant":"5U24CA184427-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2818,"fairsharing_record_id":2533,"organisation_id":340,"relation":"funds","created_at":"2021-09-30T09:25:57.303Z","updated_at":"2021-09-30T09:25:57.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":340,"name":"California Digital Library (CDL), University of California, Oakland, CA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2816,"fairsharing_record_id":2533,"organisation_id":1310,"relation":"maintains","created_at":"2021-09-30T09:25:57.227Z","updated_at":"2021-12-09T19:43:51.545Z","grant_id":null,"is_lead":true,"saved_state":{"id":1310,"name":"Ideker Lab, School of Medicine, UC San Diego","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2534","type":"fairsharing_records","attributes":{"created_at":"2017-11-14T14:58:18.000Z","updated_at":"2024-03-21T13:59:26.402Z","metadata":{"doi":"10.25504/FAIRsharing.d33rx4","name":"ChannelsDB","status":"ready","contacts":[{"contact_name":"Karel Berka","contact_email":"karel.berka@upol.cz","contact_orcid":"0000-0001-9472-2589"}],"homepage":"https://channelsdb.ncbr.muni.cz/","citations":[],"identifier":2534,"description":"ChannelsDB is a comprehensive and regularly updated resource of channels, pores and tunnels found in biomacromolecules deposited in the Protein Data Bank. The database contains information about channel positions, geometry and physicochemical properties.","abbreviation":null,"data_curation":{"url":"https://channelsdb.ncbr.muni.cz/documentation.html#db-content","type":"manual","notes":"Manually curated channel annotations from literature extracted entries"},"support_links":[{"url":"https://channelsdb.ncbr.muni.cz/documentation.html","name":"Documentation","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"http://mole.upol.cz/","name":"MOLE 2.5"},{"url":"https://litemol.org/","name":"Litemol"}],"data_access_condition":{"url":"https://channelsdb.ncbr.muni.cz/gdpr.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://channelsdb.ncbr.muni.cz/contribute.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001017","bsg-d001017"],"name":"FAIRsharing record for: ChannelsDB","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.d33rx4","doi":"10.25504/FAIRsharing.d33rx4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChannelsDB is a comprehensive and regularly updated resource of channels, pores and tunnels found in biomacromolecules deposited in the Protein Data Bank. The database contains information about channel positions, geometry and physicochemical properties.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12795}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Channel","Molecular structure","Protein structure","Molecular function","Enzyme"],"taxonomies":["All"],"user_defined_tags":["Physical properties"],"countries":["Czech Republic"],"publications":[{"id":1970,"pubmed_id":29036719,"title":"ChannelsDB: database of biomacromolecular tunnels and pores.","year":2017,"url":"http://doi.org/10.1093/nar/gkx868","authors":"Pravda L,Sehnal D,Svobodova Varekova R,Navratilova V,Tousek D,Berka K,Otyepka M,Koca J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx868","created_at":"2021-09-30T08:26:01.713Z","updated_at":"2021-09-30T11:29:25.010Z"}],"licence_links":[{"licence_name":"ChannelsDB Terms of Use","licence_id":948,"licence_url":"https://channelsdb.ncbr.muni.cz/gdpr.html","link_id":2738,"relation":"applies_to_content"}],"grants":[{"id":8136,"fairsharing_record_id":2534,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:31:09.323Z","updated_at":"2021-09-30T09:31:09.381Z","grant_id":1043,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LQ1601","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2825,"fairsharing_record_id":2534,"organisation_id":840,"relation":"funds","created_at":"2021-09-30T09:25:57.588Z","updated_at":"2021-09-30T09:25:57.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2821,"fairsharing_record_id":2534,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:25:57.414Z","updated_at":"2021-09-30T09:29:06.434Z","grant_id":96,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LO1305","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2820,"fairsharing_record_id":2534,"organisation_id":1767,"relation":"maintains","created_at":"2021-09-30T09:25:57.382Z","updated_at":"2021-09-30T09:25:57.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":1767,"name":"Masaryk University (MU), Brno, Czech Republic","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2824,"fairsharing_record_id":2534,"organisation_id":2286,"relation":"funds","created_at":"2021-09-30T09:25:57.515Z","updated_at":"2021-09-30T09:30:16.221Z","grant_id":629,"is_lead":false,"saved_state":{"id":2286,"name":"Palacky University, Olomouc, Czech Republic","grant":"IGA_PrF_2017_028","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2823,"fairsharing_record_id":2534,"organisation_id":633,"relation":"funds","created_at":"2021-09-30T09:25:57.478Z","updated_at":"2021-09-30T09:32:32.764Z","grant_id":1668,"is_lead":false,"saved_state":{"id":633,"name":"Czech Science Foundation (GACR), Czech Republic","grant":"P208/12/G016","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7876,"fairsharing_record_id":2534,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:29:19.924Z","updated_at":"2021-09-30T09:29:19.991Z","grant_id":199,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LM2015047","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10008,"fairsharing_record_id":2534,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.644Z","updated_at":"2022-10-13T09:43:38.644Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":11595,"fairsharing_record_id":2534,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:25.762Z","updated_at":"2024-03-21T13:59:26.300Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbFVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--314f123b2260aef75b46c587e6a7b366c6832eb6/channelsdb_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2535","type":"fairsharing_records","attributes":{"created_at":"2017-11-16T11:09:44.000Z","updated_at":"2023-12-15T10:31:11.202Z","metadata":{"doi":"10.25504/FAIRsharing.y9x8wk","name":"Natural Product-Drug Interaction Research Data Repository","status":"in_development","contacts":[{"contact_name":"Richard Boyce","contact_email":"rdb20@pitt.edu","contact_orcid":"0000-0002-2993-2085"}],"homepage":"https://repo.napdi.org/","identifier":2535,"description":"The Natural Product-Drug Interaction Research Data Repository, a publicly accessible database where researchers can access scientific results, raw data, and recommended approaches to optimally assess the clinical significance of pharmacokinetic natural product-drug interactions (PK-NPDIs). The repository is funded by the United States National Center for Complementary and Integrative Health.","abbreviation":"NaPDI","data_curation":{"type":"not found"},"support_links":[{"url":"https://forums.dikb.org/c/npdi","name":"Natural product-drug interactions topic on forums.dikb.org","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001018","bsg-d001018"],"name":"FAIRsharing record for: Natural Product-Drug Interaction Research Data Repository","abbreviation":"NaPDI","url":"https://fairsharing.org/10.25504/FAIRsharing.y9x8wk","doi":"10.25504/FAIRsharing.y9x8wk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Natural Product-Drug Interaction Research Data Repository, a publicly accessible database where researchers can access scientific results, raw data, and recommended approaches to optimally assess the clinical significance of pharmacokinetic natural product-drug interactions (PK-NPDIs). The repository is funded by the United States National Center for Complementary and Integrative Health.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Pharmacology","Biomedical Science"],"domains":["Drug interaction","Natural product"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2452,"pubmed_id":29743102,"title":"Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0183-z","authors":"Judkins J,Tay-Sontheimer J,Boyce RD,Brochhausen M","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0183-z","created_at":"2021-09-30T08:27:00.787Z","updated_at":"2021-09-30T08:27:00.787Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":892,"relation":"undefined"}],"grants":[{"id":2826,"fairsharing_record_id":2535,"organisation_id":2956,"relation":"funds","created_at":"2021-09-30T09:25:57.624Z","updated_at":"2021-09-30T09:29:52.338Z","grant_id":444,"is_lead":false,"saved_state":{"id":2956,"name":"United States National Center for Complementary and Integrative Health (NCCAM)","grant":"U54AT008909","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2538","type":"fairsharing_records","attributes":{"created_at":"2017-11-20T20:52:09.000Z","updated_at":"2022-09-08T13:35:03.656Z","metadata":{"doi":"10.25504/FAIRsharing.x6y19r","name":"Citrination","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"info@citrine.io"}],"homepage":"https://citrination.com/","citations":[],"identifier":2538,"description":"Citrination is an open database and analytics platform for material and chemical information. Registration is required to access all data, but is free for academics, researchers and other non-commercial users.","abbreviation":"Citrination","data_curation":{"type":"manual","notes":"Users add metadata to their own datasets"},"support_links":[{"url":"https://citrination.com/faq","name":"Citrination FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.citrination.com/","name":"Help Knowledgebase","type":"Help documentation"},{"url":"https://github.com/CitrineInformatics/learn-citrination","name":"API Tutorials","type":"Github"},{"url":"http://citrine.us3.list-manage1.com/subscribe?u=014639e57e11aa6a7d2f2e4a8\u0026id=60e6d7fee0","name":"Newsletter","type":"Mailing list"},{"url":"https://citrination.com/tos","name":"Terms of Service","type":"Help documentation"},{"url":"https://citrination.com/privacy","name":"Privacy Policy","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012077","name":"re3data:r3d100012077","portal":"re3data"}],"deprecation_date":"2022-09-08","deprecation_reason":"As of September 19th, 2022, Open Citrination is decomissioned. All public datasets will remain available for download at their existing URLs (including DOIs) after this change, without any user action required. Existing links to public datasets will allow anyone with the link to view and download. All private datasets are inaccessible after September 19th, as are machine learning, data analysis, and data visualization capabilities. Questions can be directed to support@citrination.net.","data_access_condition":{"type":"open","notes":"Requires free login"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001021","bsg-d001021"],"name":"FAIRsharing record for: Citrination","abbreviation":"Citrination","url":"https://fairsharing.org/10.25504/FAIRsharing.x6y19r","doi":"10.25504/FAIRsharing.x6y19r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Citrination is an open database and analytics platform for material and chemical information. Registration is required to access all data, but is free for academics, researchers and other non-commercial users.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11794}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Materials Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Citrination Copyright","licence_id":130,"licence_url":"https://citrination.com/dmca","link_id":932,"relation":"applies_to_content"},{"licence_name":"Citrination Data Licence","licence_id":131,"licence_url":"https://citrination.com/datamanagement","link_id":940,"relation":"applies_to_content"}],"grants":[{"id":2833,"fairsharing_record_id":2538,"organisation_id":526,"relation":"maintains","created_at":"2021-09-30T09:25:57.911Z","updated_at":"2021-09-30T09:25:57.911Z","grant_id":null,"is_lead":true,"saved_state":{"id":526,"name":"Citrine Informatics, Redwood City, CA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBY1U9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--5702044a060d98d8712e728da6ce3cd05d990d1b/citlogo.png?disposition=inline","exhaustive_licences":false}},{"id":"2539","type":"fairsharing_records","attributes":{"created_at":"2017-11-20T21:08:22.000Z","updated_at":"2023-12-15T10:30:25.754Z","metadata":{"doi":"10.25504/FAIRsharing.b952rv","name":"NASA/IPAC Extragalactic Database","status":"ready","contacts":[{"contact_name":"Joseph M. Mazzarella","contact_email":"mazz@ipac.caltech.edu"}],"homepage":"https://ned.ipac.caltech.edu/","identifier":2539,"description":"NASA/IPAC Extragalactic Database (NED) is a comprehensive database of multiwavelength data for extragalactic objects, providing a systematic, ongoing fusion of information integrated from hundreds of large sky surveys and tens of thousands of research publications. The contents and services span the entire observed spectrum from gamma rays through radio frequencies. As new observations are published, they are cross- identified or statistically associated with previous data and integrated into a unified database to simplify queries and retrieval.","abbreviation":"NED","data_curation":{"type":"not found"},"support_links":[{"url":"https://ned.ipac.caltech.edu/contact/NED","name":"NED Contact Form","type":"Contact form"},{"url":"https://ned.ipac.caltech.edu/Documents/Guides","name":"User Guides","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=BCW6awQ2o4Q","name":"Video Overview","type":"Video"},{"url":"https://www.youtube.com/channel/UCogUNzCeGRfCr2gYi0sqbOg","name":"YouTube Channel","type":"Video"},{"url":"https://ned.ipac.caltech.edu/Documents/Overview/Release","name":"Release Notes","type":"Help documentation"},{"url":"https://ned.ipac.caltech.edu/Documents/Overview","name":"About NED","type":"Help documentation"}],"year_creation":1988,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010525","name":"re3data:r3d100010525","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001022","bsg-d001022"],"name":"FAIRsharing record for: NASA/IPAC Extragalactic Database","abbreviation":"NED","url":"https://fairsharing.org/10.25504/FAIRsharing.b952rv","doi":"10.25504/FAIRsharing.b952rv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NASA/IPAC Extragalactic Database (NED) is a comprehensive database of multiwavelength data for extragalactic objects, providing a systematic, ongoing fusion of information integrated from hundreds of large sky surveys and tens of thousands of research publications. The contents and services span the entire observed spectrum from gamma rays through radio frequencies. As new observations are published, they are cross- identified or statistically associated with previous data and integrated into a unified database to simplify queries and retrieval.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Extragalactic objects"],"countries":["United States"],"publications":[{"id":2102,"pubmed_id":null,"title":"Evolution of the NASA/IPAC Extragalactic Database (NED) into a Data Mining Discovery Engine","year":2016,"url":"https://doi.org/10.1017/S1743921316013132","authors":"Mazzarella, Joseph M.; NED Team","journal":"Proceedings of the International Astronomical Union","doi":null,"created_at":"2021-09-30T08:26:16.884Z","updated_at":"2021-09-30T08:26:16.884Z"}],"licence_links":[],"grants":[{"id":2835,"fairsharing_record_id":2539,"organisation_id":1599,"relation":"maintains","created_at":"2021-09-30T09:25:57.986Z","updated_at":"2021-09-30T09:25:57.986Z","grant_id":null,"is_lead":true,"saved_state":{"id":1599,"name":"Jet Propulsion Laboratory, California Institute of Technology, NASA, Pasadena, CA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":2834,"fairsharing_record_id":2539,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:57.950Z","updated_at":"2021-09-30T09:25:57.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2540","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T11:14:06.000Z","updated_at":"2023-06-23T09:56:25.968Z","metadata":{"doi":"10.25504/FAIRsharing.z4xpxx","name":"AgroPortal","status":"ready","contacts":[{"contact_name":"Clement Jonquet","contact_email":"jonquet@lirmm.fr","contact_orcid":"0000-0002-2404-1582"}],"homepage":"http://agroportal.lirmm.fr","citations":[{"doi":"10.1016/j.compag.2017.10.012","publication_id":1359}],"identifier":2540,"description":"AgroPortal is an ontology repository for agronomy as well as food, plant, agriculture and biodiversity sciences. It provides ontology hosting, search, versioning, visualization, comment, and recommendation; enables semantic annotation; stores and exploits ontology alignments; and enables interoperation with the semantic web. To align with the needs of the agronomy community, AgroPortal uses SKOS vocabularies and trait dictionaries) and supported features (offering detailed metadata and advanced annotation capabilities).","abbreviation":"AgroPortal","data_curation":{"url":"https://doc.jonquetlab.lirmm.fr/share/e6158eda-c109-4385-852c-51a42de9a412/doc/submitting-an-ontology-MDwVEGW3w0","type":"manual/automated","notes":"outdated ontology deposit documentation"},"support_links":[{"url":"http://agroportal.lirmm.fr/feedback/","name":"Contact Form","type":"Contact form"},{"url":"https://github.com/agroportal","name":"Github Repository","type":"Github"},{"url":"http://agroportal.lirmm.fr/about","name":"About","type":"Help documentation"},{"url":"https://github.com/agroportal/documentation/wiki","name":"AgroPortal Documentation","type":"Github"},{"url":"http://agroportal.lirmm.fr/landscape","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/lagroportal","name":"@lagroportal","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open","notes":"No declaration but a CC-BY licence on each item"},"resource_sustainability":{"url":"https://agroportal.lirmm.fr/about","name":"List of grants, institutions and team members"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001023","bsg-d001023"],"name":"FAIRsharing record for: AgroPortal","abbreviation":"AgroPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.z4xpxx","doi":"10.25504/FAIRsharing.z4xpxx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AgroPortal is an ontology repository for agronomy as well as food, plant, agriculture and biodiversity sciences. It provides ontology hosting, search, versioning, visualization, comment, and recommendation; enables semantic annotation; stores and exploits ontology alignments; and enables interoperation with the semantic web. To align with the needs of the agronomy community, AgroPortal uses SKOS vocabularies and trait dictionaries) and supported features (offering detailed metadata and advanced annotation capabilities).","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11626},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16738}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Farming Systems Research","Botany","Fisheries Science","Plant Breeding","Agricultural Law","Health Science","Animal Husbandry","Food Security","Entomology","Agricultural Engineering","Rural and Agricultural Sociology","Ecology","Aquaculture","Biodiversity","Agriculture","Nutritional Science","Plant Anatomy","Plant Cell Biology","Physics","Pathology"],"domains":["Taxonomic classification","Geographical location","Food","Phenotype"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment","Plant Phenotypes and Traits"],"countries":["France"],"publications":[{"id":1359,"pubmed_id":null,"title":"AgroPortal: A vocabulary and ontology repository for agronomy","year":2018,"url":"https://doi.org/10.1016/j.compag.2017.10.012","authors":"Clément Jonquet, Anne Toulet, Elizabeth Arnaud, Sophie Aubin, Esther Dzalé Yeumo, Vincent Emonet, John Graybeal, Marie-Angélique Laporte, Mark A. Musen, Valeria Pesce, Pierre Larmande.","journal":"Computers and Electronics in Agriculture","doi":"10.1016/j.compag.2017.10.012","created_at":"2021-09-30T08:24:51.967Z","updated_at":"2021-09-30T08:24:51.967Z"},{"id":2519,"pubmed_id":null,"title":"Reusing the NCBO BioPortal Technology for Agronomy to Build AgroPortal.","year":2016,"url":"https://hal.archives-ouvertes.fr/hal-01398251","authors":"Clement Jonquet, Anne Toulet, Elizabeth Arnaud, Sophie Aubin, Esther Dzalé-Yeumo, Vincent Emonet, John Graybeal, Mark A Musen, Cyril Pommier, Pierre Larmande","journal":"Proceedings of the Joint International Conference on Biological Ontology and BioCreative, Corvallis, Oregon, United States, August 1-4, 2016.","doi":null,"created_at":"2021-09-30T08:27:09.062Z","updated_at":"2021-09-30T11:28:36.245Z"},{"id":3111,"pubmed_id":null,"title":"Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal","year":2018,"url":"http://doi.org/10.1007/s13740-018-0091-5","authors":"Clement Jonquet, Anne Toulet, Biswanath Dutta, Vincent Emonet","journal":"Journal on Data Semantics","doi":"10.1007/s13740-018-0091-5","created_at":"2021-09-30T08:28:23.283Z","updated_at":"2021-09-30T08:28:23.283Z"}],"licence_links":[],"grants":[{"id":2841,"fairsharing_record_id":2540,"organisation_id":3101,"relation":"maintains","created_at":"2021-09-30T09:25:58.216Z","updated_at":"2021-09-30T09:25:58.216Z","grant_id":null,"is_lead":true,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2844,"fairsharing_record_id":2540,"organisation_id":1754,"relation":"funds","created_at":"2021-09-30T09:25:58.318Z","updated_at":"2021-09-30T09:31:14.392Z","grant_id":1081,"is_lead":false,"saved_state":{"id":1754,"name":"Marie Sklodowska-Curie","grant":"701771","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2836,"fairsharing_record_id":2540,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:25:58.025Z","updated_at":"2021-09-30T09:25:58.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2840,"fairsharing_record_id":2540,"organisation_id":1675,"relation":"maintains","created_at":"2021-09-30T09:25:58.179Z","updated_at":"2021-09-30T09:25:58.179Z","grant_id":null,"is_lead":true,"saved_state":{"id":1675,"name":"Laboratory of Informatics, Robotics and Microelectronics of Montpellier","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":2843,"fairsharing_record_id":2540,"organisation_id":2066,"relation":"undefined","created_at":"2021-09-30T09:25:58.275Z","updated_at":"2021-09-30T09:25:58.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":2837,"fairsharing_record_id":2540,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:58.057Z","updated_at":"2021-09-30T09:30:45.772Z","grant_id":857,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-12-JS02-01001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2838,"fairsharing_record_id":2540,"organisation_id":47,"relation":"funds","created_at":"2021-09-30T09:25:58.094Z","updated_at":"2021-09-30T09:31:40.559Z","grant_id":1278,"is_lead":false,"saved_state":{"id":47,"name":"LabEx AGRO, Agropolis Fondation","grant":"ANR-10-LABX-0001","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9846,"fairsharing_record_id":2540,"organisation_id":2066,"relation":"collaborates_on","created_at":"2022-09-02T13:56:18.757Z","updated_at":"2022-09-02T13:56:18.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9847,"fairsharing_record_id":2540,"organisation_id":1675,"relation":"collaborates_on","created_at":"2022-09-02T13:56:18.758Z","updated_at":"2022-09-02T13:56:18.758Z","grant_id":null,"is_lead":false,"saved_state":{"id":1675,"name":"Laboratory of Informatics, Robotics and Microelectronics of Montpellier","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":9848,"fairsharing_record_id":2540,"organisation_id":2623,"relation":"collaborates_on","created_at":"2022-09-02T13:56:18.802Z","updated_at":"2022-09-02T13:56:18.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":2839,"fairsharing_record_id":2540,"organisation_id":2624,"relation":"undefined","created_at":"2021-09-30T09:25:58.136Z","updated_at":"2021-09-30T09:25:58.136Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"undefined"}},{"id":2842,"fairsharing_record_id":2540,"organisation_id":1656,"relation":"funds","created_at":"2021-09-30T09:25:58.248Z","updated_at":"2021-09-30T09:31:07.033Z","grant_id":1024,"is_lead":false,"saved_state":{"id":1656,"name":"Labex Digital and Hardware Solutions and Modeling for the Environment and Life Sciences (NUMEV)","grant":"ANR-10-LABX-0020","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8153,"fairsharing_record_id":2540,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:31:13.321Z","updated_at":"2021-09-30T09:31:13.368Z","grant_id":1071,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-11-BINF-0002","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8485,"fairsharing_record_id":2540,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:32:51.586Z","updated_at":"2021-09-30T09:32:51.632Z","grant_id":1809,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-18-CE23-0017","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2541","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T12:55:23.000Z","updated_at":"2023-12-15T10:31:19.586Z","metadata":{"doi":"10.25504/FAIRsharing.f7p410","name":"RunMyCode","status":"ready","contacts":[],"homepage":"http://www.runmycode.org/","citations":[],"identifier":2541,"description":"RunMyCode is an online repository allowing people to share code and data associated with scientific publications. Its goal is to allow members of the academic community to replicate scientific results and to demonstrate the robustness of published code.","abbreviation":"RunMyCode","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.runmycode.org/contact","name":"Contact Form","type":"Contact form"},{"url":"http://www.runmycode.org/faq.html","name":"Run My Code FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.runmycode.org/privacy-policy.html","name":"Privacy Policy","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010418","name":"re3data:r3d100010418","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014011","name":"SciCrunch:RRID:SCR_014011","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001024","bsg-d001024"],"name":"FAIRsharing record for: RunMyCode","abbreviation":"RunMyCode","url":"https://fairsharing.org/10.25504/FAIRsharing.f7p410","doi":"10.25504/FAIRsharing.f7p410","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RunMyCode is an online repository allowing people to share code and data associated with scientific publications. Its goal is to allow members of the academic community to replicate scientific results and to demonstrate the robustness of published code.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"RunMyCode Terms of Use","licence_id":719,"licence_url":"http://www.runmycode.org/terms-of-use.html","link_id":1063,"relation":"undefined"}],"grants":[{"id":2845,"fairsharing_record_id":2541,"organisation_id":3111,"relation":"maintains","created_at":"2021-09-30T09:25:58.349Z","updated_at":"2021-09-30T09:25:58.349Z","grant_id":null,"is_lead":false,"saved_state":{"id":3111,"name":"University of Orleans","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2846,"fairsharing_record_id":2541,"organisation_id":1229,"relation":"maintains","created_at":"2021-09-30T09:25:58.377Z","updated_at":"2021-09-30T09:25:58.377Z","grant_id":null,"is_lead":false,"saved_state":{"id":1229,"name":"HEC Paris","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2530","type":"fairsharing_records","attributes":{"created_at":"2017-11-03T16:37:58.000Z","updated_at":"2023-06-22T16:39:40.978Z","metadata":{"doi":"10.25504/FAIRsharing.6ba5fw","name":"Alliance of Genome Resources","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@alliancegenome.org"}],"homepage":"https://www.alliancegenome.org","citations":[{"doi":"10.1093/nar/gkz813","pubmed_id":31552413,"publication_id":1698}],"identifier":2530,"description":"The primary mission of the Alliance of Genome Resources (the Alliance) is to develop and maintain sustainable genome information resources that facilitate the use of diverse model organisms in understanding the genetic and genomic basis of human biology, health and disease.","abbreviation":null,"data_curation":{"url":"https://www.alliancegenome.org/help","type":"manual/automated","notes":"Both curators and computational tools such as DIOPT are utilised"},"support_links":[{"url":"https://www.alliancegenome.org/news","name":"News","type":"Blog/News"},{"url":"info@alliancegenome.org","name":"Contact","type":"Support email"},{"url":"https://www.alliancegenome.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.alliancegenome.org/help","name":"Help","type":"Help documentation"},{"url":"https://www.alliancegenome.org/tutorials","name":"Tutorial Listing","type":"Help documentation"},{"url":"https://github.com/alliance-genome/","name":"GitHub Project","type":"Github"},{"url":"https://www.alliancegenome.org/about-us","name":"About","type":"Help documentation"},{"url":"https://twitter.com/alliancegenome","name":"@alliancegenome","type":"Twitter"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"https://www.alliancegenome.org/prototypes","name":"Prototype Tools Listing"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001013","bsg-d001013"],"name":"FAIRsharing record for: Alliance of Genome Resources","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6ba5fw","doi":"10.25504/FAIRsharing.6ba5fw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary mission of the Alliance of Genome Resources (the Alliance) is to develop and maintain sustainable genome information resources that facilitate the use of diverse model organisms in understanding the genetic and genomic basis of human biology, health and disease.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11549},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16214},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19985}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Genome map","Gene name","Gene functional annotation","Model organism","Disease process modeling","Gene expression","Functional association","Phenotype","Disease","Gene","Homologous","Orthologous","Genome"],"taxonomies":["Caenorhabditis","Danio rerio","Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae","Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom","United States"],"publications":[{"id":1698,"pubmed_id":31552413,"title":"Alliance of Genome Resources Portal: unified model organism research platform.","year":2019,"url":"http://doi.org/10.1093/nar/gkz813","authors":"Alliance of Genome Resources Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz813","created_at":"2021-09-30T08:25:30.300Z","updated_at":"2021-09-30T11:29:18.893Z"},{"id":2007,"pubmed_id":31796553,"title":"The Alliance of Genome Resources: Building a Modern Data Ecosystem for Model Organism Databases.","year":2019,"url":"http://doi.org/10.1534/genetics.119.302523","authors":"Alliance of Genome Resources Consortium","journal":"Genetics","doi":"10.1534/genetics.119.302523","created_at":"2021-09-30T08:26:06.040Z","updated_at":"2021-09-30T08:26:06.040Z"}],"licence_links":[{"licence_name":"Alliance of Genome Resources Privacy, Warranty and Licensing","licence_id":25,"licence_url":"https://www.alliancegenome.org/privacy-warranty-licensing","link_id":2452,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2451,"relation":"undefined"}],"grants":[{"id":2808,"fairsharing_record_id":2530,"organisation_id":64,"relation":"maintains","created_at":"2021-09-30T09:25:56.944Z","updated_at":"2021-09-30T09:25:56.944Z","grant_id":null,"is_lead":true,"saved_state":{"id":64,"name":"Alliance of Genome Resources Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2810,"fairsharing_record_id":2530,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:57.023Z","updated_at":"2021-09-30T09:25:57.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2809,"fairsharing_record_id":2530,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:25:56.986Z","updated_at":"2021-09-30T09:31:46.694Z","grant_id":1321,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U24HG010859","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2531","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T11:48:13.000Z","updated_at":"2024-06-14T09:32:53.360Z","metadata":{"doi":"10.25504/FAIRsharing.agwgmc","name":"CloudFlame","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"cloudflame@kaust.edu.sa"}],"homepage":"https://cloudflame.kaust.edu.sa","citations":[],"identifier":2531,"description":"CloudFlame is a cloud-based cyberinfrastructure for managing combustion research and enabling collaboration. The infrastructure includes both software and hardware components, and is freely offered to anyone with a valid professional or educational affiliation. This website provides a front-end for data search tools, web-based numerical simulations, and discussion forums. We have marked this resource as having an Uncertain status because we have been unable to confirm certain metadata with the resource contact. If you have any information about the current status of this project, please get in touch.","abbreviation":"CloudFlame","data_curation":{"type":"not found"},"support_links":[{"url":"https://cloudflame.kaust.edu.sa/contact","name":"CloudFlame Contact Form","type":"Contact form"},{"url":"https://cloudflame.kaust.edu.sa/Help","name":"Help Videos","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"https://cloudflame.kaust.edu.sa/Simulations","name":"CloudFlame CANTERA"},{"url":"https://cloudflame.kaust.edu.sa/OpenSmoke","name":"CloudFlame OPENSMOKE++"},{"url":"https://cloudflame.kaust.edu.sa/fuel","name":"Fuel Tools"},{"url":"https://cloudflame.kaust.edu.sa/thermo_tools","name":"CloudFlame Thermo"},{"url":"https://cloudflame.kaust.edu.sa/node/353","name":"CFD Simulations"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013647","name":"re3data:r3d100013647","portal":"re3data"}],"deprecation_date":"2024-06-14","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"url":"https://cloudflame.kaust.edu.sa/user/register","type":"open","notes":"You do need to register to access to the database"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001014","bsg-d001014"],"name":"FAIRsharing record for: CloudFlame","abbreviation":"CloudFlame","url":"https://fairsharing.org/10.25504/FAIRsharing.agwgmc","doi":"10.25504/FAIRsharing.agwgmc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CloudFlame is a cloud-based cyberinfrastructure for managing combustion research and enabling collaboration. The infrastructure includes both software and hardware components, and is freely offered to anyone with a valid professional or educational affiliation. This website provides a front-end for data search tools, web-based numerical simulations, and discussion forums. We have marked this resource as having an Uncertain status because we have been unable to confirm certain metadata with the resource contact. If you have any information about the current status of this project, please get in touch.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11792}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry"],"domains":["Combustion"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Saudi Arabia"],"publications":[],"licence_links":[],"grants":[{"id":2811,"fairsharing_record_id":2531,"organisation_id":2494,"relation":"funds","created_at":"2021-09-30T09:25:57.061Z","updated_at":"2021-09-30T09:25:57.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":2494,"name":"Saudi Aramco","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2812,"fairsharing_record_id":2531,"organisation_id":532,"relation":"maintains","created_at":"2021-09-30T09:25:57.089Z","updated_at":"2021-09-30T09:25:57.089Z","grant_id":null,"is_lead":false,"saved_state":{"id":532,"name":"Clean Combustion Research Center, King Abdullah University of Science and Technology. Saudi Arabia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2813,"fairsharing_record_id":2531,"organisation_id":1637,"relation":"funds","created_at":"2021-09-30T09:25:57.113Z","updated_at":"2021-09-30T09:25:57.113Z","grant_id":null,"is_lead":false,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2548","type":"fairsharing_records","attributes":{"created_at":"2018-01-05T14:22:52.000Z","updated_at":"2024-05-07T10:34:02.019Z","metadata":{"doi":"10.25504/FAIRsharing.thskvr","name":"Code Ocean","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"contact@codeocean.com"}],"homepage":"https://codeocean.com","citations":[],"identifier":2548,"description":"Code Ocean is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover and run code published in academic journals and conferences. The platform provides open access to the published software code and data to view and download for everyone for free. Users can execute all published code without installing anything on their personal computer. Everything runs in the cloud on CPUs or GPUs according to the user needs.","abbreviation":"CO","data_curation":{"url":"https://help.codeocean.com/en/articles/1120151-code-ocean-s-verification-process-for-computational-reproducibility-quality","type":"manual","notes":"Authors may provide metadata for their code; please note that code verification is performed by CodeOcean, however no peer review of the code is performed."},"support_links":[{"url":"https://codeocean.com/blog","name":"Code Ocean Blog","type":"Blog/News"},{"url":"https://codeocean.com/contact","name":"Contact form","type":"Contact form"},{"url":"https://help.codeocean.com","name":"Help center","type":"Help documentation"},{"url":"https://twitter.com/CodeOceanHQ","name":"CodeOceanHQ","type":"Twitter"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012369","name":"re3data:r3d100012369","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_015532","name":"SciCrunch:RRID:SCR_015532","portal":"SciCrunch"}],"data_access_condition":{"url":"https://help.codeocean.com/en/articles/3063022-publishing-on-code-ocean-an-overview","type":"partially open","notes":"Code may be kept private until published by the authors"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001031","bsg-d001031"],"name":"FAIRsharing record for: Code Ocean","abbreviation":"CO","url":"https://fairsharing.org/10.25504/FAIRsharing.thskvr","doi":"10.25504/FAIRsharing.thskvr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Code Ocean is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover and run code published in academic journals and conferences. The platform provides open access to the published software code and data to view and download for everyone for free. Users can execute all published code without installing anything on their personal computer. Everything runs in the cloud on CPUs or GPUs according to the user needs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Israel","United States"],"publications":[{"id":3788,"pubmed_id":null,"title":"Computational Reproducibility via Containers in Psychology","year":2019,"url":"http://dx.doi.org/10.15626/MP.2018.892","authors":"Clyburne-Sherin, April; Fei, Xu; Green, Seth Ariel; ","journal":"Meta-psychology","doi":"10.15626/mp.2018.892","created_at":"2023-02-23T08:45:25.563Z","updated_at":"2023-02-23T08:47:28.760Z"}],"licence_links":[{"licence_name":"Code Ocean Terms of Use","licence_id":142,"licence_url":"https://codeocean.com/terms-of-use","link_id":935,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3102,"relation":"applies_to_content"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":3101,"relation":"applies_to_content"}],"grants":[{"id":2859,"fairsharing_record_id":2548,"organisation_id":546,"relation":"maintains","created_at":"2021-09-30T09:25:58.871Z","updated_at":"2021-09-30T09:25:58.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":546,"name":"Code Ocean, New York, NY, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbDBDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--cbb6fb6ad3e03818ed01acaa2eab4e6e33f45b57/Screenshot%20from%202023-02-23%2009-02-20.png?disposition=inline","exhaustive_licences":false}},{"id":"2570","type":"fairsharing_records","attributes":{"created_at":"2018-02-27T14:54:05.000Z","updated_at":"2024-04-11T10:24:07.289Z","metadata":{"doi":"10.25504/FAIRsharing.a04fb2","name":"Citrus Genome Database","status":"ready","contacts":[],"homepage":"https://www.citrusgenomedb.org/","citations":[],"identifier":2570,"description":"The Citrus Genome Database, known as CGD, is a USDA and NSF funded resource to enable basic, translational and applied research in citrus. It houses genomics, genetics and breeding data for citrus species and organisms associated with HLB. It is built by the Mainlab at Washington State University using the open-source, generic database platform Tripal.","abbreviation":"CGD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.citrusgenomedb.org/contact","name":"CGD Contact Form","type":"Contact form"},{"url":"https://www.citrusgenomedb.org/userManual","name":"CGD User Manual","type":"Help documentation"},{"url":"https://www.citrusgenomedb.org/about","name":"About CGD","type":"Help documentation"},{"url":"https://www.citrusgenomedb.org/data_overview/1","name":"Data Overview","type":"Help documentation"},{"url":"https://twitter.com/CGD_news","name":"@CGD_news","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://www.citrusgenomedb.org/blast","name":"BLAST+"},{"url":"https://ptools.citrusgenomedb.org/","name":"CitrusCyc"},{"url":"https://www.citrusgenomedb.org/jbrowses","name":"JBrowse"},{"url":"https://www.citrusgenomedb.org/MapViewer","name":"MapViewer"},{"url":"https://www.citrusgenomedb.org/heatmap","name":"Expression Heatmap"},{"url":"https://www.citrusgenomedb.org/synview/search","name":"Synteny Viewer"},{"url":"https://www.citrusgenomedb.org/bims","name":"Breeding Information Management System (BIMS)"}],"cross_references":[{"url":"https://www.fruitandnutlist.org/","name":"Fruit and Nut Cultivars Database","portal":"Other"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.citrusgenomedb.org/tgg/data_submission","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001053","bsg-d001053"],"name":"FAIRsharing record for: Citrus Genome Database","abbreviation":"CGD","url":"https://fairsharing.org/10.25504/FAIRsharing.a04fb2","doi":"10.25504/FAIRsharing.a04fb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citrus Genome Database, known as CGD, is a USDA and NSF funded resource to enable basic, translational and applied research in citrus. It houses genomics, genetics and breeding data for citrus species and organisms associated with HLB. It is built by the Mainlab at Washington State University using the open-source, generic database platform Tripal.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11502},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15734}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Plant Breeding","Genomics","Genetics","Plant Genetics"],"domains":[],"taxonomies":["Candidatus Liberibacter asiaticus","Citrus","Citrus clementina","Citrus sinensis","Poncirus","Citrus ichangensis","Citrus reticulata","Citrus maxima","Citrus medica","Poncirus trifoliata","Fortunella hindsii"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2904,"fairsharing_record_id":2570,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.417Z","updated_at":"2021-09-30T09:26:00.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2903,"fairsharing_record_id":2570,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.386Z","updated_at":"2021-09-30T09:30:05.505Z","grant_id":547,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF Plant Genome Research Program Award","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2905,"fairsharing_record_id":2570,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:26:00.443Z","updated_at":"2021-09-30T09:29:14.486Z","grant_id":154,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"USDA NIFA Specialty Crop Research Program","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8315,"fairsharing_record_id":2570,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:32:02.449Z","updated_at":"2021-09-30T09:32:02.501Z","grant_id":1441,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"USDA NIFA National Research Support Project 10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa1lCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ace8de093c0ddd27a05c0f81372aedbd0d712bce/CGD_logo.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2571","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T12:19:22.000Z","updated_at":"2023-12-15T10:32:37.919Z","metadata":{"doi":"10.25504/FAIRsharing.d040a4","name":"Cacao Genome Database","status":"ready","contacts":[{"contact_name":"Ping Zheng","contact_email":"ping_zheng@wsu.edu","contact_orcid":null}],"homepage":"https://www.cacaogenomedb.org/","citations":[],"identifier":2571,"description":"The Cacao Genome Database (CGD) is a database storing information on the genome of Theobroma cacao. The sequenced genotype, Matina 1-6, is representative of the genetic background most commonly found in the cacao producing countries, enabling results to be applied to current commercial cultivars. Before viewing the data, users have to agree that they will not seek any intellectual property protection over the data, including gene sequences contained in the database. The Information Access Agreement allows any cacao breeders and other researchers to freely use the genome information to develop new cacao varieties. This allows for a level playing field and a healthy competitive environment that will ultimately benefit the sustainability of cacao production in the long term.","abbreviation":"CGD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.cacaogenomedb.org/contact","name":"CGD Contact Form","type":"Contact form"},{"url":"https://www.cacaogenomedb.org/faq","name":"CGD Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.cacaogenomedb.org/mailing_lists","name":"CGD mailing list","type":"Mailing list"},{"url":"https://www.cacaogenomedb.org/sites/default/files/CGD_brochure_2012.pdf","name":"CGD Brochure","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.cacaogenomedb.org/tools/cmap","name":"CMAP"},{"url":"https://www.cacaogenomedb.org/tools/gbrowse_syn","name":"GBrowse_syn"},{"url":"https://www.cacaogenomedb.org/tools/gbrowse","name":"GBrowse"},{"url":"https://www.cacaogenomedb.org/tools/blast","name":"BLAST"},{"url":"https://www.cacaogenomedb.org/tools/webfpc","name":"WebFPC"}],"data_access_condition":{"url":"https://www.cacaogenomedb.org/faq/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cacaogenomedb.org/faq/","type":"not applicable","notes":"Database is for their sequencing project only."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001054","bsg-d001054"],"name":"FAIRsharing record for: Cacao Genome Database","abbreviation":"CGD","url":"https://fairsharing.org/10.25504/FAIRsharing.d040a4","doi":"10.25504/FAIRsharing.d040a4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cacao Genome Database (CGD) is a database storing information on the genome of Theobroma cacao. The sequenced genotype, Matina 1-6, is representative of the genetic background most commonly found in the cacao producing countries, enabling results to be applied to current commercial cultivars. Before viewing the data, users have to agree that they will not seek any intellectual property protection over the data, including gene sequences contained in the database. The Information Access Agreement allows any cacao breeders and other researchers to freely use the genome information to develop new cacao varieties. This allows for a level playing field and a healthy competitive environment that will ultimately benefit the sustainability of cacao production in the long term.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11503}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Plant Breeding","Genomics","Agriculture","Plant Genetics"],"domains":[],"taxonomies":["Theobroma cacao"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2906,"fairsharing_record_id":2571,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:00.479Z","updated_at":"2021-09-30T09:26:00.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2907,"fairsharing_record_id":2571,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.521Z","updated_at":"2023-09-22T15:24:05.743Z","grant_id":null,"is_lead":true,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2572","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T12:40:10.000Z","updated_at":"2024-04-11T10:32:24.746Z","metadata":{"doi":"10.25504/FAIRsharing.8d1f51","name":"Pulse Crop Database","status":"ready","contacts":[],"homepage":"https://www.pulsedb.org/","citations":[],"identifier":2572,"description":"Although there is wealth of legume genetic research information in North America and throughout the world, there is still a need for a system that can organize, filter and provide analysis on the available research to be directly applied in breeding programs. The Pulse Crop Database (formerly the Cool Season Food Legume Crop Database) is being developed to serve as a resource for Genomics-Assisted Breeding (GAB). GAB offers tools to identify genes related to traits of interest among other methods to optimize plant breeding efficiency and research, by providing relevant genomic, genetic and breeding information and analysis.","abbreviation":"PCD","data_curation":{"type":"not found"},"support_links":[{"url":"https://pulsedb.org/UserManual","name":"User Manual","type":"Help documentation"},{"url":"pulsedb-list@pulsedb.org","name":"Mailing List","type":"Mailing list"},{"url":"https://pulsedb.org/data_overview/1","name":"Data Overview","type":"Help documentation"},{"url":"https://twitter.com/PulseDB_news","name":"@PulseDB_news","type":"Twitter"},{"url":"https://pulsedb.org/pulsedb_contact","name":"Contact","type":"Contact form"},{"url":"https://www.youtube.com/channel/UC0S8SqxuMpfScejyE-VCtxA","name":"MainLab YouTube Channel","type":"Video"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://pulsedb.org/jbrowses","name":"JBrowse"},{"url":"https://pulsedb.org/blast","name":"BLAST+"},{"url":"https://www.pulsedb.org/MapViewer","name":"MapViewer"},{"url":"https://ptools.pulsedb.org/","name":"PathwayCyc"},{"url":"https://pulsedb.org/synview/search","name":"Synteny Viewer"},{"url":"https://www.pulsedb.org/bims","name":"Breeding Information Management System (BIMS)"},{"url":"https://www.pulsedb.org/heatmap","name":"Expression Heatmap"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.pulsedb.org/data_submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001055","bsg-d001055"],"name":"FAIRsharing record for: Pulse Crop Database","abbreviation":"PCD","url":"https://fairsharing.org/10.25504/FAIRsharing.8d1f51","doi":"10.25504/FAIRsharing.8d1f51","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Although there is wealth of legume genetic research information in North America and throughout the world, there is still a need for a system that can organize, filter and provide analysis on the available research to be directly applied in breeding programs. The Pulse Crop Database (formerly the Cool Season Food Legume Crop Database) is being developed to serve as a resource for Genomics-Assisted Breeding (GAB). GAB offers tools to identify genes related to traits of interest among other methods to optimize plant breeding efficiency and research, by providing relevant genomic, genetic and breeding information and analysis.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11504},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11628}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Plant Breeding","Genomics","Genetics","Agriculture","Plant Genetics"],"domains":[],"taxonomies":["Cajanus cajan","Cicer arietinum","Lens culinaris","Lupinus angustifolius","Phaseolus vulgaris","Pisum sativum","Vicia faba","Vigna angularis","Vigna unguiculata","Vigna subterranea","Vicia sativa"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2518,"pubmed_id":null,"title":"Cool Season Food Legume Genome Database: A resource for pea, lentil, faba bean and chickpea genetics, genomics and breeding","year":2017,"url":"https://www.pulsedb.org/sites/default/files/files/CSFL_poster-PAG2019.pdf","authors":"Humann JL, Jung S, Cheng C-H, Lee T, Zheng P, Frank M, McGaughey D, Scott K, Buble K, Yu J, Hough H. Coyne C, McGee R, Main D","journal":"Proceedings of the International Plant and Animal Genome Conference, San Diego, CA, USA.","doi":null,"created_at":"2021-09-30T08:27:08.945Z","updated_at":"2021-09-30T08:27:08.945Z"}],"licence_links":[],"grants":[{"id":2908,"fairsharing_record_id":2572,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.560Z","updated_at":"2021-09-30T09:26:00.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2NCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--969372fe37375721b95072e6514e09a480ef30a3/PulseDB-HomepageLogo2.png?disposition=inline","exhaustive_licences":false}},{"id":"2573","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T13:01:09.000Z","updated_at":"2024-04-11T10:16:31.009Z","metadata":{"doi":"10.25504/FAIRsharing.2f668a","name":"CottonGen","status":"ready","contacts":[],"homepage":"https://www.cottongen.org/","citations":[],"identifier":2573,"description":"CottonGen is a cotton community genomics, genetics and breeding database being developed to enable basic, translational and applied research in cotton. It is being built using the open-source Tripal database infrastructure. CottonGen supercedes CottonDB and the Cotton Marker Database, with enhanced tools for easier data sharing, mining, visualization and data retrieval of cotton research data. CottonGen contains annotated whole genome sequences, unigenes from expressed sequence tags (ESTs), markers, trait loci, genetic maps, genes, taxonomy, germplasm, publications and communication resources for the cotton community. Annotated whole genome sequences of Gossypium raimondii are available with aligned genetic markers and transcripts.","abbreviation":"CottonGen","data_curation":{"url":"https://www.cottongen.org/data/submission","type":"manual"},"support_links":[{"url":"https://www.cottongen.org/contact","name":"CottonGen Contact Form","type":"Contact form"},{"url":"https://www.cottongen.org/data_overview/1","name":"Data Overview","type":"Help documentation"},{"url":"https://www.cottongen.org/data/trait_ontology","name":"Cotton Trait Ontology","type":"Help documentation"},{"url":"https://www.cottongen.org/about","name":"About CottonGen","type":"Help documentation"},{"url":"https://twitter.com/CottonGen_news","name":"@CottonGen_news","type":"Twitter"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://www.cottongen.org/blast","name":"BLAST"},{"url":"https://www.cottongen.org/tools/jbrowse","name":"JBrowse"},{"url":"https://www.cottongen.org/retrieve/sequences","name":"Sequence Retrieval"},{"url":"https://www.cottongen.org/MapViewer","name":"MapViewer"},{"url":"https://www.cottongen.org/bims","name":"Breeding Information Management System (BIMS)"},{"url":"https://ptools.cottongen.org/","name":"CottonCyc"},{"url":"https://www.cottongen.org/heatmap","name":"Expression Heatmap"},{"url":"https://www.cottongen.org/synview/search","name":"Synteny Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012668","name":"re3data:r3d100012668","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cottongen.org/data/submission","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001056","bsg-d001056"],"name":"FAIRsharing record for: CottonGen","abbreviation":"CottonGen","url":"https://fairsharing.org/10.25504/FAIRsharing.2f668a","doi":"10.25504/FAIRsharing.2f668a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CottonGen is a cotton community genomics, genetics and breeding database being developed to enable basic, translational and applied research in cotton. It is being built using the open-source Tripal database infrastructure. CottonGen supercedes CottonDB and the Cotton Marker Database, with enhanced tools for easier data sharing, mining, visualization and data retrieval of cotton research data. CottonGen contains annotated whole genome sequences, unigenes from expressed sequence tags (ESTs), markers, trait loci, genetic maps, genes, taxonomy, germplasm, publications and communication resources for the cotton community. Annotated whole genome sequences of Gossypium raimondii are available with aligned genetic markers and transcripts.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11505},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11629}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Plant Breeding","Genomics","Agriculture","Life Science","Plant Genetics"],"domains":["Genetic map","Whole genome sequencing"],"taxonomies":["Gossypium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2085,"pubmed_id":24203703,"title":"CottonGen: a genomics, genetics and breeding database for cotton research.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1064","authors":"Yu J,Jung S,Cheng CH,Ficklin SP,Lee T,Zheng P,Jones D,Percy RG,Main D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1064","created_at":"2021-09-30T08:26:15.055Z","updated_at":"2021-09-30T11:29:28.187Z"}],"licence_links":[],"grants":[{"id":2910,"fairsharing_record_id":2573,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.629Z","updated_at":"2021-09-30T09:26:00.629Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2914,"fairsharing_record_id":2573,"organisation_id":783,"relation":"funds","created_at":"2021-09-30T09:26:00.775Z","updated_at":"2021-09-30T09:26:00.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":783,"name":"Dow/Phytogen","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2915,"fairsharing_record_id":2573,"organisation_id":1894,"relation":"funds","created_at":"2021-09-30T09:26:00.808Z","updated_at":"2021-09-30T09:26:00.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":1894,"name":"Monsanto","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2909,"fairsharing_record_id":2573,"organisation_id":3219,"relation":"maintains","created_at":"2021-09-30T09:26:00.594Z","updated_at":"2021-09-30T09:26:00.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":3219,"name":"Washington State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2911,"fairsharing_record_id":2573,"organisation_id":617,"relation":"funds","created_at":"2021-09-30T09:26:00.671Z","updated_at":"2021-09-30T09:26:00.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":617,"name":"Cotton Incorporated","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2912,"fairsharing_record_id":2573,"organisation_id":2935,"relation":"maintains","created_at":"2021-09-30T09:26:00.710Z","updated_at":"2021-09-30T09:26:00.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2935,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Crop Germplasm Research Unit, College Station, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2913,"fairsharing_record_id":2573,"organisation_id":2599,"relation":"funds","created_at":"2021-09-30T09:26:00.743Z","updated_at":"2021-09-30T09:26:00.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2599,"name":"Southern Association of Agricultural Experiment Station Directors","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2916,"fairsharing_record_id":2573,"organisation_id":177,"relation":"funds","created_at":"2021-09-30T09:26:00.842Z","updated_at":"2021-09-30T09:26:00.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":177,"name":"Bayer Crop Science, Germany","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2574","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T13:39:08.000Z","updated_at":"2023-06-23T15:58:37.355Z","metadata":{"doi":"10.25504/FAIRsharing.PkY7Hl","name":"Cucurbit Genomics Database","status":"ready","contacts":[{"contact_email":"feibioinfolab@gmail.com"}],"homepage":"http://cucurbitgenomics.org","citations":[{"doi":"10.1093/nar/gkac921","pubmed_id":null,"publication_id":3874}],"identifier":2574,"description":"The recent genome sequence assemblies of major cucurbit crop species, including cucumber, melon, watermelon and pumpkin have made it feasible to use advanced genomic approaches in cucurbit breeding. Under the CucCAP project (http://cuccap.org), the Cucurbit Genomics Database (CuGenDB) aims to accelerate the breeding progress of cucurbit crops. Tripal was used to help manage, store, distribute and analyze the large amount of recently generated genotype and phenotype data. CuGenDB integrates genetic, genomics, transcriptomics and other biological data.","abbreviation":"CuGenDB","data_curation":{"type":"manual","notes":"Metadata are manually curated by checking the publications describing the data."},"support_links":[{"url":"http://cucurbitgenomics.org/contact","name":"CuGenDB Contact Form","type":"Contact form"},{"url":"cucurbit-l@cornell.edu","name":"CuGenDB Mailing List","type":"Mailing list"},{"url":"https://pag.confex.com/pag/xxvi/meetingapp.cgi/Paper/30589","name":"Conference Presentation","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"http://cucurbitgenomics.org/blast","name":"BLAST"},{"url":"http://cucurbitgenomics.org/goenrich","name":"GO Enrichment"},{"url":"http://cucurbitgenomics.org/funcat","name":"Gene Classification"},{"url":"http://cucurbitgenomics.org/JBrowse/","name":"JBrowse"},{"url":"http://cucurbitgenomics.org/batchquery","name":"Batch Query"},{"url":"http://cucurbitgenomics.org/synview/search","name":"Synteny Viewer"},{"url":"http://cucurbitgenomics.org/cmaps","name":"CMap"},{"url":"http://cucurbitgenomics.org/pwyenrich","name":"Pathway Enrichment"}],"data_access_condition":{"url":"http://cucurbitgenomics.org/v2/search","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001057","bsg-d001057"],"name":"FAIRsharing record for: Cucurbit Genomics Database","abbreviation":"CuGenDB","url":"https://fairsharing.org/10.25504/FAIRsharing.PkY7Hl","doi":"10.25504/FAIRsharing.PkY7Hl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The recent genome sequence assemblies of major cucurbit crop species, including cucumber, melon, watermelon and pumpkin have made it feasible to use advanced genomic approaches in cucurbit breeding. Under the CucCAP project (http://cuccap.org), the Cucurbit Genomics Database (CuGenDB) aims to accelerate the breeding progress of cucurbit crops. Tripal was used to help manage, store, distribute and analyze the large amount of recently generated genotype and phenotype data. CuGenDB integrates genetic, genomics, transcriptomics and other biological data.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11506},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15731}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Agriculture","Life Science","Transcriptomics"],"domains":["Phenotype","Genotype"],"taxonomies":["Cucurbitaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":146,"pubmed_id":30321383,"title":"Cucurbit Genomics Database (CuGenDB): a central portal for comparative and functional genomics of cucurbit crops.","year":2018,"url":"http://doi.org/10.1093/nar/gky944","authors":"Zheng Y,Wu S,Bai Y,Sun H,Jiao C,Guo S,Zhao K,Blanca J,Zhang Z,Huang S,Xu Y,Weng Y,Mazourek M,K Reddy U,Ando K,McCreight JD,Schaffer AA,Burger J,Tadmor Y,Katzir N,Tang X,Liu Y,Giovannoni JJ,Ling KS,Wechter WP,Levi A,Garcia-Mas J,Grumet R,Fei Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky944","created_at":"2021-09-30T08:22:35.904Z","updated_at":"2021-09-30T11:28:43.108Z"},{"id":3874,"pubmed_id":null,"title":"CuGenDBv2: an updated database for cucurbit genomics","year":2023,"url":"http://dx.doi.org/10.1093/nar/gkac921","authors":"Yu, Jingyin; Wu, Shan; Sun, Honghe; Wang, Xin; Tang, Xuemei; Guo, Shaogui; Zhang, Zhonghua; Huang, Sanwen; Xu, Yong; Weng, Yiqun; Mazourek, Michael; McGregor, Cecilia; Renner, Susanne S; Branham, Sandra; Kousik, Chandrasekar; Wechter, W Patrick; Levi, Amnon; Grumet, Rebecca; Zheng, Yi; Fei, Zhangjun; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac921","created_at":"2023-05-31T07:40:44.007Z","updated_at":"2023-05-31T07:42:13.715Z"}],"licence_links":[],"grants":[{"id":2918,"fairsharing_record_id":2574,"organisation_id":1009,"relation":"maintains","created_at":"2021-09-30T09:26:00.897Z","updated_at":"2021-09-30T09:26:00.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":1009,"name":"Feilab, Boyce Thomson Institute, Ithaca, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2917,"fairsharing_record_id":2574,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:00.866Z","updated_at":"2021-09-30T09:26:00.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2575","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T13:55:14.000Z","updated_at":"2023-06-22T17:33:10.305Z","metadata":{"doi":"10.25504/FAIRsharing.Aa2ryS","name":"Shanoir","status":"ready","contacts":[{"contact_name":"Shanoir Helpdesk","contact_email":"shanoir-contact@lists.gforge.inria.fr"}],"homepage":"https://shanoir.irisa.fr/","citations":[],"identifier":2575,"description":"Shanoir (Sharing NeurOImaging Resources) is an open source neuroinformatics platform designed to share, archive, search and visualize neuroimaging data. It provides a user-friendly secure web access and offers an intuitive workflow to facilitate the collecting and retrieving of neuroimaging data from multiple sources and a wizzard to make the completion of metadata easy. Shanoir comes along many features such as anonymization of data, support for multi-centres clinical studies on subjects or group of subjects.","abbreviation":"Shanoir","data_curation":{"type":"not found"},"support_links":[{"url":"https://project.inria.fr/shanoir/","name":"About","type":"Help documentation"},{"url":"https://github.com/fli-iam/shanoir-ng","name":"GitHub repository","type":"Github"}],"year_creation":2016,"data_versioning":"not found","data_access_condition":{"url":"https://project.inria.fr/shanoir/access-request-rework-in-shanoir-a-public-catalog-for-more-fairness/","type":"partially open","notes":"Login mandatory, but portions of the database are available after login"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://project.inria.fr/shanoir/","type":"open","notes":"Login required, but any researcher may store data."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001058","bsg-d001058"],"name":"FAIRsharing record for: Shanoir","abbreviation":"Shanoir","url":"https://fairsharing.org/10.25504/FAIRsharing.Aa2ryS","doi":"10.25504/FAIRsharing.Aa2ryS","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Shanoir (Sharing NeurOImaging Resources) is an open source neuroinformatics platform designed to share, archive, search and visualize neuroimaging data. It provides a user-friendly secure web access and offers an intuitive workflow to facilitate the collecting and retrieving of neuroimaging data from multiple sources and a wizzard to make the completion of metadata easy. Shanoir comes along many features such as anonymization of data, support for multi-centres clinical studies on subjects or group of subjects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Magnetic resonance imaging","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["France"],"publications":[{"id":937,"pubmed_id":null,"title":"Shanoir: Applying the Software as a Service Distribution Model to Manage Brain Imaging Research Repositories","year":2016,"url":"http://doi.org/10.3389/fict.2016.00025","authors":"Christian Barillot, Elise Bannier, Olivier Commowick, Isabelle Corouge, Anthony Baire, Ines Fakhfakh, Justine Guillaumont, Yao Yao, Michael Kain","journal":"Frontiers in ICT","doi":"10.3389/fict.2016.00025","created_at":"2021-09-30T08:24:03.662Z","updated_at":"2021-09-30T08:24:03.662Z"}],"licence_links":[],"grants":[{"id":10613,"fairsharing_record_id":2575,"organisation_id":3999,"relation":"maintains","created_at":"2023-05-15T13:55:46.806Z","updated_at":"2023-05-15T13:55:46.806Z","grant_id":null,"is_lead":true,"saved_state":{"id":3999,"name":"Empenn Team, INRIA Rennes – Bretagne Atlantique Research Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2576","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T13:11:54.000Z","updated_at":"2023-03-21T15:19:12.749Z","metadata":{"doi":"10.25504/FAIRsharing.cbfbbb","name":"GeneNet Engine","status":"deprecated","contacts":[{"contact_name":"Frank Alex Feltus","contact_email":"ffeltus@clemson.edu","contact_orcid":"0000-0002-2123-6114"}],"homepage":"http://gene-networks.org/","citations":[],"identifier":2576,"description":"GeneNet Engine is an exploratory tool to aid hypothesis and biomarker development at a systems-level for genotype-phenotype relationships. Expressed phenotypes may arise due to interactions between multiple genes in a system and effects from the surrounding environment. Therefore, a high systems-level view is needed to identify gene sets causal for a trait. The ability to predict genes that effect important traits is of great importance to agriculture and health. System biology approaches, that combine genomics, gene co-expression networks and data from genetic studies help provide a view at the systems-level of gene interactions. As co-expressed genes tend to be involved in similar processes, it is expected that co-expressed genes may work together to give rise to specific pheontypes. The network module serves as the basic unit of exploration in this site.","abbreviation":"GeneNet Engine","data_curation":{},"year_creation":2013,"data_versioning":"not found","deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001059","bsg-d001059"],"name":"FAIRsharing record for: GeneNet Engine","abbreviation":"GeneNet Engine","url":"https://fairsharing.org/10.25504/FAIRsharing.cbfbbb","doi":"10.25504/FAIRsharing.cbfbbb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneNet Engine is an exploratory tool to aid hypothesis and biomarker development at a systems-level for genotype-phenotype relationships. Expressed phenotypes may arise due to interactions between multiple genes in a system and effects from the surrounding environment. Therefore, a high systems-level view is needed to identify gene sets causal for a trait. The ability to predict genes that effect important traits is of great importance to agriculture and health. System biology approaches, that combine genomics, gene co-expression networks and data from genetic studies help provide a view at the systems-level of gene interactions. As co-expressed genes tend to be involved in similar processes, it is expected that co-expressed genes may work together to give rise to specific pheontypes. The network module serves as the basic unit of exploration in this site.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11507},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12800}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Life Science","Systems Biology"],"domains":["Network model","Biomarker","Co-expression","Phenotype","Genotype"],"taxonomies":["Arabidopsis thaliana","Oryza sativa","Zea mays"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":795,"pubmed_id":23874666,"title":"A systems-genetics approach and data mining tool to assist in the discovery of genes underlying complex traits in Oryza sativa.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0068551","authors":"Ficklin SP,Feltus FA","journal":"PLoS One","doi":"10.1371/journal.pone.0068551","created_at":"2021-09-30T08:23:47.620Z","updated_at":"2021-09-30T08:23:47.620Z"}],"licence_links":[],"grants":[{"id":2920,"fairsharing_record_id":2576,"organisation_id":1106,"relation":"maintains","created_at":"2021-09-30T09:26:00.980Z","updated_at":"2021-09-30T09:26:00.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":1106,"name":"Genetics and Biochemistry Department, Clemson University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2921,"fairsharing_record_id":2576,"organisation_id":533,"relation":"maintains","created_at":"2021-09-30T09:26:01.021Z","updated_at":"2021-09-30T09:26:01.021Z","grant_id":null,"is_lead":false,"saved_state":{"id":533,"name":"Clemson University Genomics Institute (CUGI), USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2919,"fairsharing_record_id":2576,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.938Z","updated_at":"2021-09-30T09:32:40.130Z","grant_id":1725,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#1659300","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2562","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T12:46:22.000Z","updated_at":"2023-06-23T11:15:08.731Z","metadata":{"doi":"10.25504/FAIRsharing.mjq9vj","name":"Kaggle Datasets","status":"ready","contacts":[{"contact_name":"Rachael Tatman","contact_email":"racheal@kaggle.com","contact_orcid":"0000-0002-2590-8483"}],"homepage":"https://www.kaggle.com/datasets","citations":[],"identifier":2562,"description":"Kaggle Datasets is a public open data platform which combines data, users, discussions, and software. Datasets can be searched, bookmarked and explored via Kernels and discussions. All types of data are allowed. Individual users and organizations can register. Datasets can be published either privately or shared publicly.","abbreviation":"Kaggle Datasets","data_curation":{"type":"none"},"support_links":[{"url":"https://medium.com/kaggle-blog","name":"Kaggle Blog","type":"Blog/News"},{"url":"https://www.kaggle.com/contact","name":"Kaggle Contact and Support","type":"Contact form"},{"url":"https://www.kaggle.com/host","name":"Host a Competition","type":"Help documentation"},{"url":"https://www.kaggle.com/docs/datasets","name":"Datasets Documentation","type":"Help documentation"},{"url":"https://twitter.com/kaggle","name":"@kaggle","type":"Twitter"}],"data_versioning":"not found","associated_tools":[{"url":"https://github.com/Kaggle/kaggle-api/wiki/Dataset-Metadata","name":"Frictionless Data Package"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012705","name":"re3data:r3d100012705","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.kaggle.com/docs/datasets#creating-a-dataset","type":"open","notes":"Free acount is required for data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001045","bsg-d001045"],"name":"FAIRsharing record for: Kaggle Datasets","abbreviation":"Kaggle Datasets","url":"https://fairsharing.org/10.25504/FAIRsharing.mjq9vj","doi":"10.25504/FAIRsharing.mjq9vj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Kaggle Datasets is a public open data platform which combines data, users, discussions, and software. Datasets can be searched, bookmarked and explored via Kernels and discussions. All types of data are allowed. Individual users and organizations can register. Datasets can be published either privately or shared publicly.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Kaggle Privacy Policy","licence_id":473,"licence_url":"https://www.kaggle.com/about/privacy","link_id":824,"relation":"undefined"},{"licence_name":"Kaggle Terms of Use","licence_id":474,"licence_url":"https://www.kaggle.com/terms","link_id":834,"relation":"undefined"}],"grants":[{"id":2894,"fairsharing_record_id":2562,"organisation_id":1619,"relation":"maintains","created_at":"2021-09-30T09:26:00.135Z","updated_at":"2021-09-30T09:26:00.135Z","grant_id":null,"is_lead":true,"saved_state":{"id":1619,"name":"Kaggle Inc, California, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2563","type":"fairsharing_records","attributes":{"created_at":"2018-02-14T13:50:54.000Z","updated_at":"2023-06-23T15:01:20.075Z","metadata":{"doi":"10.25504/FAIRsharing.4e2z82","name":"JRC Data Catalogue","status":"ready","homepage":"http://data.jrc.ec.europa.eu/","identifier":2563,"description":"The JRC Data Catalogue gives access to the multidisciplinary data produced and maintained by the Joint Research Centre, the European Commission's in-house science service providing independent scientific advice and support to policies of the European Union. NB: The JRC Data Catalogue is also included in scientific publishers' submission systems as \"European Commission, Joint Research Centre (JRC)\".","abbreviation":null,"data_curation":{"type":"none"},"support_links":[{"url":"http://data.jrc.ec.europa.eu/contact","name":"Contact us","type":"Contact form"}],"year_creation":2016,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012593","name":"re3data:r3d100012593","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001046","bsg-d001046"],"name":"FAIRsharing record for: JRC Data Catalogue","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4e2z82","doi":"10.25504/FAIRsharing.4e2z82","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JRC Data Catalogue gives access to the multidisciplinary data produced and maintained by the Joint Research Centre, the European Commission's in-house science service providing independent scientific advice and support to policies of the European Union. NB: The JRC Data Catalogue is also included in scientific publishers' submission systems as \"European Commission, Joint Research Centre (JRC)\".","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Engineering Science","Social Science","Natural Science","Life Science","Social and Behavioural Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":2304,"pubmed_id":null,"title":"The JRC Multidisciplinary Research Data Infrastructure","year":2017,"url":"http://doi.org/10.1145/3151759.3151810","authors":"Friis-Christensen, Anders; Perego, Andrea; Tsinaraki, Chrisa; Vaccari, Lorenzino","journal":"iiWAS '17: Proceedings of the 19th International Conference on Information Integration and Web-based Applications \u0026 Services","doi":"10.1145/3151759.3151810","created_at":"2021-09-30T08:26:42.586Z","updated_at":"2021-09-30T08:26:42.586Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2322,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2323,"relation":"undefined"},{"licence_name":"European Commission Reuse and Copyright Notice","licence_id":301,"licence_url":"https://ec.europa.eu/info/legal-notice_en#copyright-notice","link_id":2324,"relation":"undefined"}],"grants":[{"id":2895,"fairsharing_record_id":2563,"organisation_id":924,"relation":"maintains","created_at":"2021-09-30T09:26:00.167Z","updated_at":"2021-09-30T09:26:00.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":924,"name":"European Commission, Joint Research Centre (JRC)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2564","type":"fairsharing_records","attributes":{"created_at":"2018-02-06T11:39:23.000Z","updated_at":"2023-10-18T09:03:22.373Z","metadata":{"doi":"10.25504/FAIRsharing.pn372d","name":"FlyGlycoDB","status":"ready","contacts":[{"contact_name":"Kiyoko F. Aoki-Kinoshita","contact_email":"kkiyoko@soka.ac.jp","contact_orcid":"0000-0002-6662-8015"}],"homepage":"https://glycosmos.org/flyglycodb","citations":[],"identifier":2564,"description":"The glycobiology of Drosophila has been extensively studied in recent years, and much information has accumulated regarding glycan-related genes and proteins in Drosophila. As a database for glycan-related genes in Drosophila, FlyGlycoDB provides specific access to this information.","abbreviation":"FlyGlycoDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/GlyCosmos","name":"@GlyCosmos","type":"Twitter"}],"year_creation":2009,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001047","bsg-d001047"],"name":"FAIRsharing record for: FlyGlycoDB","abbreviation":"FlyGlycoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pn372d","doi":"10.25504/FAIRsharing.pn372d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The glycobiology of Drosophila has been extensively studied in recent years, and much information has accumulated regarding glycan-related genes and proteins in Drosophila. As a database for glycan-related genes in Drosophila, FlyGlycoDB provides specific access to this information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Protein","Gene"],"taxonomies":["Drosophila"],"user_defined_tags":["Glycan Annotation","Glycan sequences"],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1171,"relation":"undefined"}],"grants":[{"id":2896,"fairsharing_record_id":2564,"organisation_id":1639,"relation":"maintains","created_at":"2021-09-30T09:26:00.199Z","updated_at":"2021-09-30T09:26:00.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":1639,"name":"Kinoshita Laboratory, Soka University, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2566","type":"fairsharing_records","attributes":{"created_at":"2018-02-14T22:07:21.000Z","updated_at":"2023-12-15T10:31:20.891Z","metadata":{"doi":"10.25504/FAIRsharing.3wwc0m","name":"Neotoma Paleoecology Database","status":"ready","contacts":[{"contact_name":"Simon Goring","contact_email":"goring@wisc.edu","contact_orcid":"0000-0002-2700-4605"}],"homepage":"https://www.neotomadb.org/","citations":[],"identifier":2566,"description":"The mission of the Neotoma Paleoecology Database is to provide a high-quality, community-curated, and sustainable public repository for paleoecological data, spanning the last 2.5 million years, including fossil pollen, mammal, diatom, ostracode, and geochemical data. Neotoma facilitates multi-scale, multi-disciplinary research and education. It is available for use by other data cooperatives that are welcome to develop their own individualized frontends to the database, as well as remotely input and update data. The Neotoma Paleoecology Database is an international coalition of constituent databases, and provides a common data model and user-oriented services for these constituent databases. Neotoma data are public and made freely available to all.","abbreviation":"Neotoma","data_curation":{"url":"https://www.neotomadb.org/data/contribute-data","type":"manual"},"support_links":[{"url":"https://www.neotomadb.org/news","name":"News","type":"Blog/News"},{"url":"neotoma-contact@googlegroups.com","name":"Contact email","type":"Support email"},{"url":"https://groups.google.com/forum/#!forum/neotoma-updates","name":"NeotomaDB forum","type":"Forum"},{"url":"https://www.neotomadb.org/documents","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/neotomadb","name":"neotomadb on twitter","type":"Twitter"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://cran.r-project.org/web/packages/neotoma/index.html","name":"neotoma R package 1.7.4"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011761","name":"re3data:r3d100011761","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002190","name":"SciCrunch:RRID:SCR_002190","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.neotomadb.org/data/contribute-data","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001049","bsg-d001049"],"name":"FAIRsharing record for: Neotoma Paleoecology Database","abbreviation":"Neotoma","url":"https://fairsharing.org/10.25504/FAIRsharing.3wwc0m","doi":"10.25504/FAIRsharing.3wwc0m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mission of the Neotoma Paleoecology Database is to provide a high-quality, community-curated, and sustainable public repository for paleoecological data, spanning the last 2.5 million years, including fossil pollen, mammal, diatom, ostracode, and geochemical data. Neotoma facilitates multi-scale, multi-disciplinary research and education. It is available for use by other data cooperatives that are welcome to develop their own individualized frontends to the database, as well as remotely input and update data. The Neotoma Paleoecology Database is an international coalition of constituent databases, and provides a common data model and user-oriented services for these constituent databases. Neotoma data are public and made freely available to all.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Paleontology","Geography","Ecology","Natural Science","Earth Science","Life Science","Natural History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Paleolimnology"],"countries":["United States"],"publications":[{"id":2227,"pubmed_id":null,"title":"The Neotoma Paleoecology Database, a multiproxy, international, community-curated data resource","year":2018,"url":"http://doi.org/10.1017/qua.2017.105","authors":"J. W. Williams et al.","journal":"Quaternary Research","doi":"10.1017/qua.2017.105","created_at":"2021-09-30T08:26:30.916Z","updated_at":"2021-09-30T08:26:30.916Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2176,"relation":"undefined"}],"grants":[{"id":2897,"fairsharing_record_id":2566,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.223Z","updated_at":"2021-09-30T09:26:00.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2568","type":"fairsharing_records","attributes":{"created_at":"2018-02-20T11:40:17.000Z","updated_at":"2023-12-15T10:31:45.379Z","metadata":{"doi":"10.25504/FAIRsharing.9btkvp","name":"Online Resource for Community Annotation of Eukaryotes","status":"ready","contacts":[{"contact_name":"Lieven Sterck","contact_email":"lieven.sterck@psb.vib-ugent.be","contact_orcid":"0000-0001-7116-4000"}],"homepage":"http://bioinformatics.psb.ugent.be/orcae/","identifier":2568,"description":"The Online Resource for Community Annotation of Eukaryotes (ORCAE) is an online genome annotation resource offering users the necessary tools and information to validate and correct gene annotations. It is a gene-centric wiki-style annotation portal offering public access to a wide variety of plant, fungal and animal genomes. The basic setup of ORCAE is highly comparable to wiki systems such as MediaWiki, and the information page for each gene can be seen as a ‘topic’ page of a traditional text wiki.","abbreviation":"ORCAE","data_curation":{"type":"manual/automated","notes":"Genes are annotated via EuGene Automatic Predictions and/or manual annotations."},"support_links":[{"url":"beg-orcae@psb.vib-ugent.be","name":"BEG-orcae Support Email","type":"Support email"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open","notes":"Free login is required to access some data."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://bioinformatics.psb.ugent.be/orcae/","type":"controlled","notes":"Only user acounts with editing rights can edit gene informations."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001051","bsg-d001051"],"name":"FAIRsharing record for: Online Resource for Community Annotation of Eukaryotes","abbreviation":"ORCAE","url":"https://fairsharing.org/10.25504/FAIRsharing.9btkvp","doi":"10.25504/FAIRsharing.9btkvp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Online Resource for Community Annotation of Eukaryotes (ORCAE) is an online genome annotation resource offering users the necessary tools and information to validate and correct gene annotations. It is a gene-centric wiki-style annotation portal offering public access to a wide variety of plant, fungal and animal genomes. The basic setup of ORCAE is highly comparable to wiki systems such as MediaWiki, and the information page for each gene can be seen as a ‘topic’ page of a traditional text wiki.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12799}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Genome annotation"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":2212,"pubmed_id":23132114,"title":"ORCAE: online resource for community annotation of eukaryotes.","year":2012,"url":"http://doi.org/10.1038/nmeth.2242","authors":"Sterck L,Billiau K,Abeel T,Rouze P,Van de Peer Y","journal":"Nat Methods","doi":"10.1038/nmeth.2242","created_at":"2021-09-30T08:26:29.323Z","updated_at":"2021-09-30T08:26:29.323Z"}],"licence_links":[],"grants":[{"id":2900,"fairsharing_record_id":2568,"organisation_id":3184,"relation":"maintains","created_at":"2021-09-30T09:26:00.299Z","updated_at":"2021-09-30T09:26:00.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":3184,"name":"VIB-UGent Center for Plant Systems Biology, Ghent, Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2899,"fairsharing_record_id":2568,"organisation_id":736,"relation":"maintains","created_at":"2021-09-30T09:26:00.272Z","updated_at":"2021-09-30T09:26:00.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":736,"name":"Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2569","type":"fairsharing_records","attributes":{"created_at":"2018-02-27T10:59:31.000Z","updated_at":"2023-12-15T10:31:23.146Z","metadata":{"name":"UCAR Digital Asset Services Hub","status":"in_development","contacts":[{"contact_name":"UCAR DASH Helpdesk","contact_email":"datahelp@ucar.edu"}],"homepage":"https://data.ucar.edu/","citations":[],"identifier":2569,"description":"A beta version of the UCAR data asset search. Metadata is compiled from a number of data repositories managed by UCAR into the DASH Search to support cross-organizational data searches.","abbreviation":"DASH Search","data_curation":{"type":"not found"},"support_links":[{"url":"https://data.ucar.edu/about","name":"About","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001052","bsg-d001052"],"name":"FAIRsharing record for: UCAR Digital Asset Services Hub","abbreviation":"DASH Search","url":"https://fairsharing.org/fairsharing_records/2569","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A beta version of the UCAR data asset search. Metadata is compiled from a number of data repositories managed by UCAR into the DASH Search to support cross-organizational data searches.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Atmospheric Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UCAR Notification Copyright Infringement Digital Millenium Copyright Act","licence_id":798,"licence_url":"https://www.ucar.edu/notification-copyright-infringement-digital-millenium-copyright-act","link_id":1208,"relation":"undefined"},{"licence_name":"UCAR Privacy Policy","licence_id":799,"licence_url":"https://www.ucar.edu/privacy-notice","link_id":1116,"relation":"undefined"},{"licence_name":"UCAR Terms of Use","licence_id":800,"licence_url":"https://www.ucar.edu/terms-of-use","link_id":1122,"relation":"undefined"}],"grants":[{"id":2902,"fairsharing_record_id":2569,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.353Z","updated_at":"2021-09-30T09:26:00.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2901,"fairsharing_record_id":2569,"organisation_id":3000,"relation":"maintains","created_at":"2021-09-30T09:26:00.323Z","updated_at":"2021-09-30T09:26:00.323Z","grant_id":null,"is_lead":true,"saved_state":{"id":3000,"name":"University Corporation for Atmospheric Research (UCAR), Boulder, CO, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2581","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T20:56:09.000Z","updated_at":"2023-12-15T10:31:58.817Z","metadata":{"doi":"10.25504/FAIRsharing.fYFurb","name":"PeanutBase","status":"ready","contacts":[{"contact_name":"Ethalinda Cannon","contact_email":"ekcannon@iastate.edu","contact_orcid":"0000-0002-0678-8754"}],"homepage":"https://peanutbase.org/","identifier":2581,"description":"Large-scale genomic data for the peanut have only become available in the last few years, with the advent of low-cost sequencing technologies. To make the data accessible to researchers and to integrate across diverse types of data, the International Peanut Genomics Consortium funded the development of PeanutBase. This database provides access to genetic maps and markers, locations of quantitative trait loci (QTLs), genome sequences, gene locations and sequences, gene families and correspondences with genes in other species, and descriptions of traits and growth characteristics. It also provides tools for exploration and analysis, including sequence of genomic and genic sequences, and keyword searches of genes, gene families, and QTL studies. These resources should facilitate breeding advancements in peanut, helping improve crop productivity and there are a variety of resources for peanut research around the web, ranging from tools for basic plant biology to information for growers and various sectors of the peanut industry to resources for plant breeders.","abbreviation":"PeanutBase","data_curation":{"type":"not found"},"support_links":[{"url":"https://peanutbase.org/contact","name":"PeanutBase Contact Form","type":"Contact form"},{"url":"https://peanutbase.org/help","name":"Site Overview and Guide","type":"Help documentation"},{"url":"https://peanutbase.org/germplasm","name":"Germplasm Resources at PeanutBase","type":"Help documentation"},{"url":"https://peanutbase.org/traits_maps","name":"Traits and Maps Related Resources","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012355","name":"re3data:r3d100012355","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001064","bsg-d001064"],"name":"FAIRsharing record for: PeanutBase","abbreviation":"PeanutBase","url":"https://fairsharing.org/10.25504/FAIRsharing.fYFurb","doi":"10.25504/FAIRsharing.fYFurb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Large-scale genomic data for the peanut have only become available in the last few years, with the advent of low-cost sequencing technologies. To make the data accessible to researchers and to integrate across diverse types of data, the International Peanut Genomics Consortium funded the development of PeanutBase. This database provides access to genetic maps and markers, locations of quantitative trait loci (QTLs), genome sequences, gene locations and sequences, gene families and correspondences with genes in other species, and descriptions of traits and growth characteristics. It also provides tools for exploration and analysis, including sequence of genomic and genic sequences, and keyword searches of genes, gene families, and QTL studies. These resources should facilitate breeding advancements in peanut, helping improve crop productivity and there are a variety of resources for peanut research around the web, ranging from tools for basic plant biology to information for growers and various sectors of the peanut industry to resources for plant breeders.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11512},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11632}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Agriculture","Life Science"],"domains":["Genetic map","Genetic marker","Phenotype","Quantitative trait loci"],"taxonomies":["Arachis","Arachis duranensis","Arachis hypogaea","Arachis ipaensis"],"user_defined_tags":["Marker Assisted Selection","Plant Phenotypes and Traits"],"countries":["United States"],"publications":[{"id":1149,"pubmed_id":null,"title":"PeanutBase and Other Bioinformatic Resources for Peanut","year":2016,"url":"http://doi.org/10.1016/B978-1-63067-038-2.00008-3","authors":"Sudhansu Dash, Ethalinda K.S. Cannon, Scott R. Kalberer, Andrew D. Farmer and Steven B. Cannon","journal":"Chapter 8, In Peanuts Genetics, Processing, and Utilization, edited by H. Thomas Stalker and Richard F. Wilson, AOCS Press, Pages 241-252. (ISBN 9781630670382)","doi":"10.1016/B978-1-63067-038-2.00008-3","created_at":"2021-09-30T08:24:27.732Z","updated_at":"2021-09-30T08:24:27.732Z"}],"licence_links":[{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":818,"relation":"undefined"}],"grants":[{"id":2941,"fairsharing_record_id":2581,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:01.590Z","updated_at":"2021-09-30T09:26:01.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9173,"fairsharing_record_id":2581,"organisation_id":1963,"relation":"maintains","created_at":"2022-04-11T12:07:19.473Z","updated_at":"2022-04-11T12:07:19.473Z","grant_id":null,"is_lead":true,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2582","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T21:17:06.000Z","updated_at":"2023-12-15T10:31:40.084Z","metadata":{"doi":"10.25504/FAIRsharing.5a2c61","name":"Planosphere","status":"ready","contacts":[{"contact_name":"Planosphere Helpdesk","contact_email":"planosphere@stowers.org"}],"homepage":"https://planosphere.stowers.org/","identifier":2582,"description":"Planosphere is a Schmidtea mediterranea (freshwater triclad) molecular staging resource and atlas used for comparative studies of embryogenesis and regeneration.","abbreviation":"Planosphere","data_curation":{"url":"https://github.com/planosphere/PAGE/blob/master/curation_rules.md","type":"manual"},"support_links":[{"url":"https://planosphere.stowers.org/staging","name":"Molecular Staging Resource","type":"Help documentation"},{"url":"https://planosphere.stowers.org/crashcourse","name":"Planarian Embryogenesis Crash Course","type":"Training documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://planosphere.stowers.org/search/rosetta-stone-transcript-mapper","name":"Rosetta Stone Transcription Mapper"},{"url":"https://planosphere.stowers.org/heatmap","name":"Custom Heat Map Generator"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://github.com/planosphere/PAGE/blob/master/PAGE_annotator_instruction.md","type":"open","notes":"Only published data can be entered"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001065","bsg-d001065"],"name":"FAIRsharing record for: Planosphere","abbreviation":"Planosphere","url":"https://fairsharing.org/10.25504/FAIRsharing.5a2c61","doi":"10.25504/FAIRsharing.5a2c61","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Planosphere is a Schmidtea mediterranea (freshwater triclad) molecular staging resource and atlas used for comparative studies of embryogenesis and regeneration.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11513}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Developmental Biology","Embryology","Life Science"],"domains":["Organelle","Organ","Tissue"],"taxonomies":["Schmidtea mediterranea"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1170,"pubmed_id":28072387,"title":"Embryonic origin of adult stem cells required for tissue homeostasis and regeneration.","year":2017,"url":"http://doi.org/10.7554/eLife.21052","authors":"Davies EL,Lei K,Seidel CW,Kroesen AE,McKinney SA,Guo L,Robb SM,Ross EJ,Gotting K,Alvarado AS","journal":"Elife","doi":"10.7554/eLife.21052","created_at":"2021-09-30T08:24:30.018Z","updated_at":"2021-09-30T08:24:30.018Z"}],"licence_links":[{"licence_name":"Stowers Institute Privacy Policy","licence_id":760,"licence_url":"https://www.stowers.org/privacy-policy","link_id":1723,"relation":"undefined"},{"licence_name":"Stowers Institute Terms of Use","licence_id":761,"licence_url":"https://www.stowers.org/terms","link_id":1724,"relation":"undefined"}],"grants":[{"id":2942,"fairsharing_record_id":2582,"organisation_id":1267,"relation":"funds","created_at":"2021-09-30T09:26:01.616Z","updated_at":"2021-09-30T09:26:01.616Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2943,"fairsharing_record_id":2582,"organisation_id":2648,"relation":"maintains","created_at":"2021-09-30T09:26:01.641Z","updated_at":"2021-09-30T09:26:01.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":2648,"name":"Stowers Institute for Medical Research, Kansas City, MO, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2590","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T16:16:20.000Z","updated_at":"2022-07-20T10:30:07.697Z","metadata":{"doi":"10.25504/FAIRsharing.hjxSpv","name":"SuperDRUG2 - A One Stop Resource for Approved/Marketed Drugs","status":"deprecated","contacts":[],"homepage":"http://cheminfo.charite.de/superdrug2/","citations":[],"identifier":2590,"description":"SuperDRUG2, an update of the previous SuperDrug database, is a unique, one-stop resource for approved/marketed drugs, containing more than 4,600 active pharmaceutical ingredients. Drugs are annotated with regulatory details, chemical structures (2D and 3D), dosage, biological targets, physicochemical properties, external identifiers, side-effects and pharmacokinetic data. Different search mechanisms allow navigation through the chemical space of approved drugs. A 2D chemical structure search is provided in addition to a 3D superposition feature that superposes a drug with ligands already known to be found in the experimentally determined protein-ligand complexes. For the first time, we introduced simulation of \"physiologically-based\" pharmacokinetics of drugs. Our interaction check feature not only identifies potential drug-drug interactions but also provides alternative recommendations for elderly patients. Drug structures (2D and 3D), links to external registries (e.g. WHO ATC) and drug/compound databases (e.g. DrugBank, ChEMBL, PubChem), physicochemical properties are provided for download.","abbreviation":"SuperDRUG2","data_curation":{"type":"not found"},"support_links":[{"url":"http://cheminfo.charite.de/superdrug2/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cheminfo.charite.de/superdrug2/statistics.html","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"http://cheminfo.charite.de/superdrug2/pharmacokinetics.jsp","name":"Pharmacokinetics Simulation"},{"url":"http://cheminfo.charite.de/superdrug2/superpose_3d.html","name":"3D Superposition"}],"deprecation_date":"2022-05-18","deprecation_reason":"The homepage for this resource no longer exists, and a new project page cannot be found. Please let us know if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001073","bsg-d001073"],"name":"FAIRsharing record for: SuperDRUG2 - A One Stop Resource for Approved/Marketed Drugs","abbreviation":"SuperDRUG2","url":"https://fairsharing.org/10.25504/FAIRsharing.hjxSpv","doi":"10.25504/FAIRsharing.hjxSpv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SuperDRUG2, an update of the previous SuperDrug database, is a unique, one-stop resource for approved/marketed drugs, containing more than 4,600 active pharmaceutical ingredients. Drugs are annotated with regulatory details, chemical structures (2D and 3D), dosage, biological targets, physicochemical properties, external identifiers, side-effects and pharmacokinetic data. Different search mechanisms allow navigation through the chemical space of approved drugs. A 2D chemical structure search is provided in addition to a 3D superposition feature that superposes a drug with ligands already known to be found in the experimentally determined protein-ligand complexes. For the first time, we introduced simulation of \"physiologically-based\" pharmacokinetics of drugs. Our interaction check feature not only identifies potential drug-drug interactions but also provides alternative recommendations for elderly patients. Drug structures (2D and 3D), links to external registries (e.g. WHO ATC) and drug/compound databases (e.g. DrugBank, ChEMBL, PubChem), physicochemical properties are provided for download.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11796}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Health Science","Chemistry","Pharmacology","Biomedical Science"],"domains":["Chemical structure","Small molecule","Adverse Reaction","Drug interaction","Approved drug"],"taxonomies":["Not applicable"],"user_defined_tags":["Drug Target"],"countries":["Germany"],"publications":[{"id":2114,"pubmed_id":29140469,"title":"SuperDRUG2: a one stop resource for approved/marketed drugs","year":2017,"url":"http://doi.org/10.1093/nar/gkx1088","authors":"Siramshetty VB, Eckert OA, Gohlke BO, Goede A, Chen Q, Devarakonda P, Preissner S, Preissner R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1088","created_at":"2021-09-30T08:26:18.365Z","updated_at":"2021-09-30T08:26:18.365Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1571,"relation":"undefined"}],"grants":[{"id":2956,"fairsharing_record_id":2590,"organisation_id":494,"relation":"funds","created_at":"2021-09-30T09:26:01.974Z","updated_at":"2021-09-30T09:26:01.974Z","grant_id":null,"is_lead":false,"saved_state":{"id":494,"name":"Charite - University Medicine Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2591","type":"fairsharing_records","attributes":{"created_at":"2018-03-07T14:03:45.000Z","updated_at":"2023-12-15T10:32:08.931Z","metadata":{"doi":"10.25504/FAIRsharing.IziuCK","name":"Animal Trait Correlation Database","status":"ready","contacts":[{"contact_name":"Zhiliang Hu","contact_email":"zhu@iastate.edu","contact_orcid":"0000-0002-6704-7538"}],"homepage":"https://www.animalgenome.org/cgi-bin/CorrDB/index","citations":[],"identifier":2591,"description":"A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies","abbreviation":"CorrDB","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.animalgenome.org/bioinfo/services/helpdesk","name":"Help Desk","type":"Contact form"},{"url":"https://www.animalgenome.org/CorrDB/faq","name":"CorrDB FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011496","name":"re3data:r3d100011496","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.animalgenome.org/CorrDB/app","type":"open","notes":"Registering for a free curator account is required to contribute."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001074","bsg-d001074"],"name":"FAIRsharing record for: Animal Trait Correlation Database","abbreviation":"CorrDB","url":"https://fairsharing.org/10.25504/FAIRsharing.IziuCK","doi":"10.25504/FAIRsharing.IziuCK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11639}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Genetics","Life Science","Systems Biology"],"domains":["Network model","Phenotype","Genotype"],"taxonomies":["Bos taurus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":["Livestock"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2958,"fairsharing_record_id":2591,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:26:02.025Z","updated_at":"2021-09-30T09:26:02.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2592","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T06:54:54.000Z","updated_at":"2023-06-22T17:25:28.710Z","metadata":{"doi":"10.25504/FAIRsharing.qqFfXF","name":"BioInformatics Platform for Agroecosystem Arthropods","status":"ready","contacts":[{"contact_name":"BIPAA Helpdesk","contact_email":"bipaa@inra.fr"}],"homepage":"https://bipaa.genouest.org","identifier":2592,"description":"BIPAA is a central platform to assist genomics and post-genomics programs developed on insects associated to agroecosystem, for the Plant Health and Environment Division of INRA. We provide online access to genomic data for multiple arthropod species. We also aim to settle an environment allowing a large community to elaborate complex genomics analyses, browsing, mixing or crossing heterogeneous data. BIPAA created and manages information systems dedicated to genomic data: AphidBase (dedicated to aphids), LepidoDB (dedicated to lepidopteran) and ParWaspDB (dedicated to parasitoid wasps).","abbreviation":"BIPAA","data_curation":{"type":"not found"},"support_links":[{"url":"https://bipaa.genouest.org/is/bipaa/about/","name":"About BIPAA","type":"Help documentation"},{"url":"https://bipaa.genouest.org/is/how-to-annotate-a-genome/","name":"Annotation Guidelines","type":"Help documentation"},{"url":"https://bipaa.genouest.org/is/news/","name":"News","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://bipaa.genouest.org/is/","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001075","bsg-d001075"],"name":"FAIRsharing record for: BioInformatics Platform for Agroecosystem Arthropods","abbreviation":"BIPAA","url":"https://fairsharing.org/10.25504/FAIRsharing.qqFfXF","doi":"10.25504/FAIRsharing.qqFfXF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BIPAA is a central platform to assist genomics and post-genomics programs developed on insects associated to agroecosystem, for the Plant Health and Environment Division of INRA. We provide online access to genomic data for multiple arthropod species. We also aim to settle an environment allowing a large community to elaborate complex genomics analyses, browsing, mixing or crossing heterogeneous data. BIPAA created and manages information systems dedicated to genomic data: AphidBase (dedicated to aphids), LepidoDB (dedicated to lepidopteran) and ParWaspDB (dedicated to parasitoid wasps).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Biology"],"domains":[],"taxonomies":["Arthropoda","Hemiptera","Hymenoptera","Insecta","Lepidoptera"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":2959,"fairsharing_record_id":2592,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:26:02.049Z","updated_at":"2021-09-30T09:26:02.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2593","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T09:38:48.000Z","updated_at":"2022-07-20T12:22:26.873Z","metadata":{"name":"Arabidopsis Information Portal","status":"deprecated","contacts":[{"contact_name":"Araport Helpdesk","contact_email":"araport@jcvi.org"}],"homepage":"https://www.araport.org/","identifier":2593,"description":"The Arabidopsis Information Portal (Araport) is an open-access online community resource for Arabidopsis research. Araport enables biologists to navigate from the Arabidopsis thaliana Col-0 reference genome sequence to its associated annotation including gene structure, gene expression, protein function, and interaction networks. Araport offers gene and protein reports with orthology, expression, interactions and the latest annotation, plus analysis tools, community apps, and web services. Araport is free and open-source. Registered members can save their analysis, publish science apps, and post announcements.","abbreviation":"Araport","data_curation":{"type":"not found"},"support_links":[{"url":"https://gcv-arabidopsis.ncgr.org/instructions","type":"Help documentation"},{"url":"https://github.com/Arabidopsis-Information-Portal","name":"Araport GitHub Repository","type":"Github"},{"url":"https://twitter.com/araport","name":"@araport","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[{"url":"https://apps.araport.org/thalemine","name":"InterMine"}],"deprecation_date":"2021-9-21","deprecation_reason":"This data from this resource are now available as part of other repositories.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001076","bsg-d001076"],"name":"FAIRsharing record for: Arabidopsis Information Portal","abbreviation":"Araport","url":"https://fairsharing.org/fairsharing_records/2593","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arabidopsis Information Portal (Araport) is an open-access online community resource for Arabidopsis research. Araport enables biologists to navigate from the Arabidopsis thaliana Col-0 reference genome sequence to its associated annotation including gene structure, gene expression, protein function, and interaction networks. Araport offers gene and protein reports with orthology, expression, interactions and the latest annotation, plus analysis tools, community apps, and web services. Araport is free and open-source. Registered members can save their analysis, publish science apps, and post announcements.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11640}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Genomics","Life Science"],"domains":["Gene functional annotation","Network model","Gene expression","Molecular interaction","Protein","Orthologous","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2235,"pubmed_id":27862469,"title":"Araport11: a complete reannotation of the Arabidopsis thaliana reference genome.","year":2016,"url":"http://doi.org/10.1111/tpj.13415","authors":"Cheng CY,Krishnakumar V,Chan AP,Thibaud-Nissen F,Schobel S,Town CD","journal":"Plant J","doi":"10.1111/tpj.13415","created_at":"2021-09-30T08:26:31.865Z","updated_at":"2021-09-30T08:26:31.865Z"},{"id":2249,"pubmed_id":28013278,"title":"ThaleMine: A Warehouse for Arabidopsis Data Integration and Discovery.","year":2016,"url":"http://doi.org/10.1093/pcp/pcw200","authors":"Krishnakumar V,Contrino S,Cheng CY,Belyaeva I,Ferlanti ES,Miller JR,Vaughn MW,Micklem G,Town CD,Chan AP","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcw200","created_at":"2021-09-30T08:26:33.551Z","updated_at":"2021-09-30T08:26:33.551Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":434,"relation":"undefined"}],"grants":[{"id":2960,"fairsharing_record_id":2593,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:26:02.074Z","updated_at":"2021-09-30T09:26:02.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2961,"fairsharing_record_id":2593,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:02.099Z","updated_at":"2021-09-30T09:32:47.472Z","grant_id":1779,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1262414","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2962,"fairsharing_record_id":2593,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:02.124Z","updated_at":"2021-09-30T09:30:18.828Z","grant_id":651,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L027151/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2553","type":"fairsharing_records","attributes":{"created_at":"2018-02-03T20:06:41.000Z","updated_at":"2023-12-15T10:32:21.360Z","metadata":{"doi":"10.25504/FAIRsharing.4vsxkr","name":"Climate Data Guide","status":"ready","homepage":"https://climatedataguide.ucar.edu","identifier":2553,"description":"The Climate Data Guide provides concise and reliable information on the strengths and limitations of the key observational data sets, tools and methods used to evaluate Earth system models and to understand the climate system. Citable expert commentaries are authored by experienced data users and developers, enabling scientists to multiply the impacts of their work and the diverse user community to access and understand the essential data. The Climate Data Guide was named an exemplary community resource by the 2012 U.S. National Academies' report, A National Strategy for Advancing Climate Modeling, and is an element of the strategic plan for NCAR's Climate and Global Dynamics Laboratory. NCAR, the National Center for Atmospheric Research, is located in Boulder, Colorado and is widely respected as a leading institution in the atmospheric and related sciences.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://climatedataguide.ucar.edu/content/suggestcontact","name":"Contact and Feedback","type":"Contact form"},{"url":"https://climatedataguide.ucar.edu/climate-model-evaluation","name":"Climate Model Evaluation","type":"Help documentation"},{"url":"https://climatedataguide.ucar.edu/experts","name":"Expert Contributors","type":"Help documentation"},{"url":"https://climatedataguide.ucar.edu/about","name":"About the Climate Data Guide","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://climatedataguide.ucar.edu/climate-data-tools-and-analysis","name":"Analysis Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012500","name":"re3data:r3d100012500","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://climatedataguide.ucar.edu/about/get-involved","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001036","bsg-d001036"],"name":"FAIRsharing record for: Climate Data Guide","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4vsxkr","doi":"10.25504/FAIRsharing.4vsxkr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Climate Data Guide provides concise and reliable information on the strengths and limitations of the key observational data sets, tools and methods used to evaluate Earth system models and to understand the climate system. Citable expert commentaries are authored by experienced data users and developers, enabling scientists to multiply the impacts of their work and the diverse user community to access and understand the essential data. The Climate Data Guide was named an exemplary community resource by the 2012 U.S. National Academies' report, A National Strategy for Advancing Climate Modeling, and is an element of the strategic plan for NCAR's Climate and Global Dynamics Laboratory. NCAR, the National Center for Atmospheric Research, is located in Boulder, Colorado and is widely respected as a leading institution in the atmospheric and related sciences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Earth Science","Atmospheric Science"],"domains":["Climate","Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2042,"pubmed_id":null,"title":"Climate Data Guide Spurs Discovery and Understanding","year":2013,"url":"http://doi.org/10.1002/2013EO130001","authors":"David P. Schneider, Clara Deser, John Fasullo, Kevin E. Trenb","journal":"EOS Earth and Space Science News","doi":"10.1002/2013EO130001","created_at":"2021-09-30T08:26:10.031Z","updated_at":"2021-09-30T08:26:10.031Z"}],"licence_links":[{"licence_name":"UCAR Privacy Policy","licence_id":799,"licence_url":"https://www.ucar.edu/privacy-notice","link_id":1958,"relation":"undefined"},{"licence_name":"UCAR Terms of Use","licence_id":800,"licence_url":"https://www.ucar.edu/terms-of-use","link_id":1957,"relation":"undefined"}],"grants":[{"id":2876,"fairsharing_record_id":2553,"organisation_id":3000,"relation":"maintains","created_at":"2021-09-30T09:25:59.495Z","updated_at":"2021-09-30T09:25:59.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":3000,"name":"University Corporation for Atmospheric Research (UCAR), Boulder, CO, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2877,"fairsharing_record_id":2553,"organisation_id":1957,"relation":"maintains","created_at":"2021-09-30T09:25:59.538Z","updated_at":"2021-09-30T09:25:59.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1957,"name":"National Center for Atmospheric Research (NCAR), Boulder, CO, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2878,"fairsharing_record_id":2553,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:59.575Z","updated_at":"2021-09-30T09:25:59.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2554","type":"fairsharing_records","attributes":{"created_at":"2018-01-10T17:42:18.000Z","updated_at":"2023-12-15T10:31:26.692Z","metadata":{"doi":"10.25504/FAIRsharing.kqbg3s","name":"Integrated Resource for Reproducibility in Macromolecular Crystallography","status":"ready","contacts":[{"contact_name":"Wladek Minor Lab","contact_email":"support@protein.diffraction.org","contact_orcid":"0000-0002-8072-4919"}],"homepage":"https://proteindiffraction.org","citations":[{"doi":"10.1107/S2059798316014716","pubmed_id":27841751,"publication_id":2094}],"identifier":2554,"description":"The Integrated Resource for Reproducibility in Macromolecular Crystallography (IRRMC) was created to make the raw data of protein crystallography more widely available. The IRRMC identifies, catalogs and provides metadata related to datasets that could be used to reprocess the original diffraction data. The intent of this project is to make the resulting three-dimensional structures more reproducible and easier to modify and improve as processing methods advance.","abbreviation":"IRRMC","data_curation":{"type":"not found"},"support_links":[{"url":"https://proteindiffraction.org/news/","name":"News","type":"Blog/News"},{"url":"https://proteindiffraction.org/statistics/","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012269","name":"re3data:r3d100012269","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://proteindiffraction.org/login/?next=/submit-data/select","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001037","bsg-d001037"],"name":"FAIRsharing record for: Integrated Resource for Reproducibility in Macromolecular Crystallography","abbreviation":"IRRMC","url":"https://fairsharing.org/10.25504/FAIRsharing.kqbg3s","doi":"10.25504/FAIRsharing.kqbg3s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Resource for Reproducibility in Macromolecular Crystallography (IRRMC) was created to make the raw data of protein crystallography more widely available. The IRRMC identifies, catalogs and provides metadata related to datasets that could be used to reprocess the original diffraction data. The intent of this project is to make the resulting three-dimensional structures more reproducible and easier to modify and improve as processing methods advance.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12797}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein structure","Experimental measurement","X-ray diffraction","X-ray crystallography assay","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":645,"pubmed_id":31768399,"title":"The Integrated Resource for Reproducibility in Macromolecular Crystallography: Experiences of the first four years.","year":2019,"url":"http://doi.org/10.1063/1.5128672","authors":"Grabowski M,Cymborowski M,Porebski PJ,Osinski T,Shabalin IG,Cooper DR,Minor W","journal":"Struct Dyn","doi":"10.1063/1.5128672","created_at":"2021-09-30T08:23:30.994Z","updated_at":"2021-09-30T08:23:30.994Z"},{"id":2094,"pubmed_id":27841751,"title":"A public database of macromolecular diffraction experiments.","year":2016,"url":"http://doi.org/10.1107/S2059798316014716","authors":"Grabowski M,Langner KM,Cymborowski M,Porebski PJ,Sroka P,Zheng H,Cooper DR,Zimmerman MD,Elsliger MA,Burley SK,Minor W","journal":"Acta Crystallogr D Struct Biol","doi":"10.1107/S2059798316014716","created_at":"2021-09-30T08:26:15.982Z","updated_at":"2021-09-30T08:26:15.982Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2074,"relation":"undefined"}],"grants":[{"id":2879,"fairsharing_record_id":2554,"organisation_id":1877,"relation":"maintains","created_at":"2021-09-30T09:25:59.610Z","updated_at":"2021-09-30T09:25:59.610Z","grant_id":null,"is_lead":false,"saved_state":{"id":1877,"name":"Minor Lab at the University of Virginia, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2880,"fairsharing_record_id":2554,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:59.646Z","updated_at":"2021-09-30T09:32:48.781Z","grant_id":1786,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"Targeted Software Development Award 1 U01 HG008424-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2555","type":"fairsharing_records","attributes":{"created_at":"2018-02-04T20:42:40.000Z","updated_at":"2021-11-24T13:20:12.104Z","metadata":{"doi":"10.25504/FAIRsharing.v1knrj","name":"Dash","status":"deprecated","contacts":[{"contact_name":"University of California Curation Center Helpdesk","contact_email":"uc3@ucop.edu"}],"homepage":"https://dash.ucop.edu","identifier":2555,"description":"Dash is an open source, community driven project that takes a unique approach to data publication and digital preservation. Dash focuses on search, presentation, and discovery and delegates the responsibility for the data preservation function to the underlying repository with which it is integrated. Dash is based at the University of California Curation Center (UC3), a program at California Digital Library (CDL) that aims to develop interdisciplinary research data infrastructure. Dash employs a multi-tenancy user interface providing partners with extensive opportunities for local branding and customization, use of existing campus login credentials, and, importantly, offering the Dash service under a tenant-specific URL, an important consideration helping to drive adoption. We welcome collaborations with other organizations wishing to provide a simple, intuitive data publication service on top of more cumbersome legacy systems.","abbreviation":"Dash","data_curation":{"type":"not found"},"support_links":[{"url":"https://dash.ucop.edu/stash/faq/","name":"Dash FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://dash.ucop.edu/stash/help","name":"Help Page","type":"Help documentation"},{"url":"http://cdluc3.github.io/dash/","name":"GitHub Project","type":"Github"}],"data_versioning":"not found","deprecation_date":"2020-05-20","deprecation_reason":"This resource has sunsetted.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001038","bsg-d001038"],"name":"FAIRsharing record for: Dash","abbreviation":"Dash","url":"https://fairsharing.org/10.25504/FAIRsharing.v1knrj","doi":"10.25504/FAIRsharing.v1knrj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dash is an open source, community driven project that takes a unique approach to data publication and digital preservation. Dash focuses on search, presentation, and discovery and delegates the responsibility for the data preservation function to the underlying repository with which it is integrated. Dash is based at the University of California Curation Center (UC3), a program at California Digital Library (CDL) that aims to develop interdisciplinary research data infrastructure. Dash employs a multi-tenancy user interface providing partners with extensive opportunities for local branding and customization, use of existing campus login credentials, and, importantly, offering the Dash service under a tenant-specific URL, an important consideration helping to drive adoption. We welcome collaborations with other organizations wishing to provide a simple, intuitive data publication service on top of more cumbersome legacy systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"California Digital Library (CDL) Privacy Policy","licence_id":91,"licence_url":"http://www.cdlib.org/about/privacy.html","link_id":88,"relation":"undefined"},{"licence_name":"California Digital Library (CDL) Terms of Use","licence_id":92,"licence_url":"http://www.cdlib.org/about/terms.html","link_id":57,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":113,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":99,"relation":"undefined"}],"grants":[{"id":2881,"fairsharing_record_id":2555,"organisation_id":340,"relation":"maintains","created_at":"2021-09-30T09:25:59.687Z","updated_at":"2021-09-30T09:25:59.687Z","grant_id":null,"is_lead":false,"saved_state":{"id":340,"name":"California Digital Library (CDL), University of California, Oakland, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2586","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T10:17:55.000Z","updated_at":"2023-12-15T10:32:35.608Z","metadata":{"doi":"10.25504/FAIRsharing.d5BjMU","name":"MusaBase","status":"ready","contacts":[{"contact_name":"Guillaume Bauchet","contact_email":"gjb99@cornell.du"}],"homepage":"https://musabase.org/","identifier":2586,"description":"MusaBase is a breeding database designed for advanced breeding methods in banana breeding. It focuses on bananas that are important food crops in Africa, such as Mchare and Matooke bananas. Data in MusaBase comes mainly from breeding programs in Uganda (NARO Kawanda, IITA Sendusu) as well as Tanzania (IITA Arusha, newly located at Nelson Mandela University).","abbreviation":"MusaBase","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.facebook.com/solgenomics","name":"Facebook","type":"Facebook"},{"url":"https://musabase.org/contact/form","name":"Musabase Contact Form","type":"Contact form"},{"url":"https://musabase.org/help/faq.pl","name":"Musabase FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://musabase.org/forum/topics.pl","name":"Musabase forum","type":"Forum"},{"url":"https://docs.google.com/document/d/1ZJjxsarGqGTv4HgJTt-EodOoaEmJ3lgSeV0Qq_YKJaY","name":"User Manual","type":"Help documentation"},{"url":"sgn-announce@rubisco.sgn.cornell.edu","name":"Sol Genomics Network Announcement Mailing List","type":"Mailing list"},{"url":"https://fr.slideshare.net/solgenomics/musabase-pag-2018","name":"SlideShare","type":"Help documentation"},{"url":"https://twitter.com/solgenomics","name":"@solgenomics","type":"Twitter"}],"data_versioning":"not found","data_access_condition":{"type":"open","notes":"Free account is needed to access some data."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://musabase.org/help/faq.pl","type":"open","notes":"Description of the data you would like to submit has to be sent via the Contact Form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001069","bsg-d001069"],"name":"FAIRsharing record for: MusaBase","abbreviation":"MusaBase","url":"https://fairsharing.org/10.25504/FAIRsharing.d5BjMU","doi":"10.25504/FAIRsharing.d5BjMU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MusaBase is a breeding database designed for advanced breeding methods in banana breeding. It focuses on bananas that are important food crops in Africa, such as Mchare and Matooke bananas. Data in MusaBase comes mainly from breeding programs in Uganda (NARO Kawanda, IITA Sendusu) as well as Tanzania (IITA Arusha, newly located at Nelson Mandela University).","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11635}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Plant Breeding","Genomics","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"2009 Toronto Statement on Benefits and Best Practices of Rapid Pre-Publication Data Release","licence_id":1,"licence_url":"https://dx.doi.org/10.1038%2F461168a","link_id":1621,"relation":"undefined"}],"grants":[{"id":2951,"fairsharing_record_id":2586,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:01.840Z","updated_at":"2021-09-30T09:26:01.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2589","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T11:01:59.000Z","updated_at":"2023-12-15T10:30:06.029Z","metadata":{"doi":"10.25504/FAIRsharing.ejofJI","name":"Cassavabase","status":"ready","contacts":[{"contact_name":"Guillaume Bauchet","contact_email":"gjb99@cornell.edu"}],"homepage":"https://cassavabase.org","identifier":2589,"description":"Cassavabase is a database containing breeding data for Cassava (Manihot esculenta). Cassava is a major staple crop and the main source of calories for 500 million people across the globe. No other continent depends on cassava to feed as many people as does Africa. Cassava is indispensable to food security in Africa. It is a widely preferred and consumed staple, as well as a hardy crop that can be stored in the ground as a fall-back source of food that can save lives in times of famine. Despite the importance of cassava for food security on the African continent, it has received relatively little research and development attention compared to other staples such as wheat, rice and maize. The key to unlocking the full potential of cassava lies largely in bringing cassava breeding into the 21st century.","abbreviation":"Cassavabase","data_curation":{"type":"none"},"support_links":[{"url":"https://www.facebook.com/cassavabase/","name":"Facebook","type":"Facebook"},{"url":"https://cassavabase.org/contact/form","name":"Cassavabase Contact Form","type":"Contact form"},{"url":"https://cassavabase.org/help/faq.pl","name":"Cassavabase FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://cassavabase.org/forum/topics.pl","name":"Cassavabase Forum","type":"Forum"},{"url":"https://docs.google.com/document/d/1ZJjxsarGqGTv4HgJTt-EodOoaEmJ3lgSeV0Qq_YKJaY/edit","name":"User Manual","type":"Help documentation"},{"url":"https://github.com/solgenomics/cassava","name":"GitHub","type":"Github"},{"url":"https://fr.slideshare.net/solgenomics/1-introduction-to-cassavabase-57894179","name":"SlideShare introduction to cassavabase","type":"Help documentation"},{"url":"https://fr.slideshare.net/solgenomics/cassavabase-general-presentation-pag-2016","name":"SlideShare Cassavabase general presentation PAG 2016","type":"Help documentation"},{"url":"https://twitter.com/solgenomics","name":"@solgenomics","type":"Twitter"}],"year_creation":2012,"data_versioning":"not found","associated_tools":[{"url":"https://cassavabase.org/pca/analysis","name":"Population Structure Analysis"},{"url":"https://cassavabase.org/jbrowse_cassavabase/?data=data/json/hapmap_variants","name":"JBrowse"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013440","name":"re3data:r3d100013440","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://cassavabase.org/help/faq.pl","type":"controlled","notes":"Submission should be required via the contact form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001072","bsg-d001072"],"name":"FAIRsharing record for: Cassavabase","abbreviation":"Cassavabase","url":"https://fairsharing.org/10.25504/FAIRsharing.ejofJI","doi":"10.25504/FAIRsharing.ejofJI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cassavabase is a database containing breeding data for Cassava (Manihot esculenta). Cassava is a major staple crop and the main source of calories for 500 million people across the globe. No other continent depends on cassava to feed as many people as does Africa. Cassava is indispensable to food security in Africa. It is a widely preferred and consumed staple, as well as a hardy crop that can be stored in the ground as a fall-back source of food that can save lives in times of famine. Despite the importance of cassava for food security on the African continent, it has received relatively little research and development attention compared to other staples such as wheat, rice and maize. The key to unlocking the full potential of cassava lies largely in bringing cassava breeding into the 21st century.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11638},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16726}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Plant Breeding","Genomics","Agriculture","Life Science"],"domains":[],"taxonomies":["Manihot esculenta"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1263,"pubmed_id":25428362,"title":"The Sol Genomics Network (SGN)--from genotype to phenotype to breeding.","year":2014,"url":"http://doi.org/10.1093/nar/gku1195","authors":"Fernandez-Pozo N,Menda N,Edwards JD,Saha S,Tecle IY,Strickler SR,Bombarely A,Fisher-York T,Pujar A,Foerster H,Yan A,Mueller LA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1195","created_at":"2021-09-30T08:24:40.915Z","updated_at":"2021-09-30T11:29:04.434Z"}],"licence_links":[{"licence_name":"2009 Toronto Statement on Benefits and Best Practices of Rapid Pre-Publication Data Release","licence_id":1,"licence_url":"https://dx.doi.org/10.1038%2F461168a","link_id":1620,"relation":"undefined"}],"grants":[{"id":2955,"fairsharing_record_id":2589,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:01.948Z","updated_at":"2021-09-30T09:26:01.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2954,"fairsharing_record_id":2589,"organisation_id":614,"relation":"funds","created_at":"2021-09-30T09:26:01.916Z","updated_at":"2021-09-30T09:26:01.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":614,"name":"Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2577","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T13:33:07.000Z","updated_at":"2024-04-11T10:22:39.543Z","metadata":{"doi":"10.25504/FAIRsharing.221d46","name":"Genome Database for Vaccinium","status":"ready","contacts":[],"homepage":"https://www.vaccinium.org/","citations":[],"identifier":2577,"description":"The amount of genetic research data for Vaccinium is steadily increasing and there is a need for a system that can organize, filter and provide analysis of the available research to be directly applied in breeding programs. The Genome Database for Vaccinium (GDV) is a curated and integrated web-based relational database. The GDV integrates genomic, genetic and breeding data for blueberry, cranberry and other Vaccinium species. The GDV includes Vaccinium genomes, annotated transcripts, traits, maps and markers.","abbreviation":"GDV","data_curation":{"url":"https://www.vaccinium.org/content/about","type":"manual"},"support_links":[{"url":"https://www.vaccinium.org/news/community","name":"News","type":"Blog/News"},{"url":"https://www.vaccinium.org/contact","name":"GDV Contact Form","type":"Contact form"},{"url":"https://www.vaccinium.org/userManual","name":"GDV User Manual","type":"Help documentation"},{"url":"gdv_news@bioinfo.wsu.edu","name":"GDV Mailing list","type":"Mailing list"},{"url":"https://www.vaccinium.org/content/about","name":"About GDV","type":"Help documentation"},{"url":"https://twitter.com/GDV_news","name":"@GDV_news","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://www.vaccinium.org/MapViewer","name":"MapViewer"},{"url":"https://www.vaccinium.org/blast","name":"BLAST+"},{"url":"https://www.vaccinium.org/bims","name":"Breeding Information Management System (BIMS)"},{"url":"https://www.vaccinium.org/jbrowses","name":"JBrowse"},{"url":"https://ptools.vaccinium.org/","name":"PathwayCyc"},{"url":"https://www.vaccinium.org/synview/search/","name":"Synteny Viewer"},{"url":"https://www.vaccinium.org/heatmap","name":"Expression Heatmap"}],"cross_references":[{"url":"https://www.fruitandnutlist.org/","name":"Fruit and Nut Cultivars Database","portal":"Other"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.vaccinium.org/data_submission","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001060","bsg-d001060"],"name":"FAIRsharing record for: Genome Database for Vaccinium","abbreviation":"GDV","url":"https://fairsharing.org/10.25504/FAIRsharing.221d46","doi":"10.25504/FAIRsharing.221d46","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The amount of genetic research data for Vaccinium is steadily increasing and there is a need for a system that can organize, filter and provide analysis of the available research to be directly applied in breeding programs. The Genome Database for Vaccinium (GDV) is a curated and integrated web-based relational database. The GDV integrates genomic, genetic and breeding data for blueberry, cranberry and other Vaccinium species. The GDV includes Vaccinium genomes, annotated transcripts, traits, maps and markers.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11508},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11630},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12801}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Agriculture","Biology","Plant Genetics"],"domains":[],"taxonomies":["Vaccinium","Vaccinium corymbosum","Vaccinium darrowii","Vaccinium macrocarpon","Vaccinium microcarpum","Vaccinium oxycoccos","Vaccinium myrtillus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GDV disclaimer","licence_id":327,"licence_url":"https://www.vaccinium.org/content/disclaimer","link_id":1665,"relation":"undefined"}],"grants":[{"id":2923,"fairsharing_record_id":2577,"organisation_id":3219,"relation":"funds","created_at":"2021-09-30T09:26:01.111Z","updated_at":"2021-09-30T09:26:01.111Z","grant_id":null,"is_lead":false,"saved_state":{"id":3219,"name":"Washington State University, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2927,"fairsharing_record_id":2577,"organisation_id":2334,"relation":"funds","created_at":"2021-09-30T09:26:01.242Z","updated_at":"2021-09-30T09:26:01.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":2334,"name":"Plants for Human Health Institute, North Carolina State University, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2926,"fairsharing_record_id":2577,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:01.211Z","updated_at":"2021-09-30T09:28:54.267Z","grant_id":8,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"National Science Foundation (NSF) Plant Genome Research Program","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2924,"fairsharing_record_id":2577,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:26:01.141Z","updated_at":"2021-09-30T09:26:01.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2925,"fairsharing_record_id":2577,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:01.170Z","updated_at":"2021-09-30T09:26:01.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2922,"fairsharing_record_id":2577,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:01.060Z","updated_at":"2021-09-30T09:29:27.197Z","grant_id":257,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","grant":"National Research Support Project (NRSP) 10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--565c80b8b4ebc7e95b65453c167a303b23b0dea6/GDVlogo_text.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2579","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T14:55:45.000Z","updated_at":"2023-10-18T16:26:56.571Z","metadata":{"doi":"10.25504/FAIRsharing.BZKHEH","name":"Legume Information System","status":"ready","contacts":[{"contact_name":"Steven B. Cannon","contact_email":"steven.cannon@ars.usda.gov","contact_orcid":"0000-0003-2777-8034"}],"homepage":"https://legumeinfo.org/","citations":[],"identifier":2579,"description":"The Legume Information System (LIS) is a collaborative, community resource to facilitate crop improvement by integrating genetic, genomic, and trait data across legume species.","abbreviation":"LIS","data_curation":{"type":"manual","notes":"User should contact resource managers directly to submit data, immediate manual curation"},"support_links":[{"url":"https://legumeinfo.org/contact","name":"LIS Contact Form","type":"Contact form"},{"url":"https://legumeinfo.org/help","name":"LIS Help Pages","type":"Help documentation"},{"url":"https://legumeinfo.org/germplasm","name":"Germplasm Resources","type":"Help documentation"},{"url":"https://legumeinfo.org/traits_maps","name":"Traits and Maps Available at LIS","type":"Help documentation"},{"url":"https://us13.list-manage.com/subscribe?u=ff3fe0b89e836dfc80515dd83\u0026id=2ef4c06119","name":"Newsletter","type":"Help documentation"},{"url":"https://twitter.com/legumefed","name":"@legumefed","type":"Twitter"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"https://legumeinfo.org/annot","name":"Annotation Tool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.legumeinfo.org/about/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001062","bsg-d001062"],"name":"FAIRsharing record for: Legume Information System","abbreviation":"LIS","url":"https://fairsharing.org/10.25504/FAIRsharing.BZKHEH","doi":"10.25504/FAIRsharing.BZKHEH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Legume Information System (LIS) is a collaborative, community resource to facilitate crop improvement by integrating genetic, genomic, and trait data across legume species.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11510},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11631}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Arachis duranensis","Arachis hypogaea","Arachis ipaensis","Cajanus cajan","Cicer arietinum","Glycine max","Lotus japonicus","Lupinus angustifolius","Medicago sativa","Medicago truncatula","Phaseolus vulgaris","Pisum sativum","Trifolium pratense","Trifolium repens","Vigna angularis","Vigna radiata","Vigna unguiculata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United States"],"publications":[{"id":930,"pubmed_id":26546515,"title":"Legume information system (LegumeInfo.org): a key component of a set of federated data resources for the legume family.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1159","authors":"Dash S,Campbell JD,Cannon EK,Cleary AM,Huang W,Kalberer SR,Karingula V,Rice AG,Singh J,Umale PE,Weeks NT,Wilkey AP,Farmer AD,Cannon SB","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1159","created_at":"2021-09-30T08:24:02.866Z","updated_at":"2021-09-30T11:28:55.500Z"},{"id":936,"pubmed_id":15608283,"title":"The Legume Information System (LIS): an integrated information resource for comparative legume biology.","year":2004,"url":"http://doi.org/10.1093/nar/gki128","authors":"Gonzales MD,Archuleta E,Farmer A,Gajendran K,Grant D,Shoemaker R,Beavis WD,Waugh ME","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki128","created_at":"2021-09-30T08:24:03.560Z","updated_at":"2021-09-30T11:28:55.601Z"}],"licence_links":[],"grants":[{"id":2935,"fairsharing_record_id":2579,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:01.441Z","updated_at":"2021-09-30T09:26:01.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2934,"fairsharing_record_id":2579,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:01.416Z","updated_at":"2021-09-30T09:29:58.339Z","grant_id":493,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS-1444806","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2932,"fairsharing_record_id":2579,"organisation_id":1963,"relation":"maintains","created_at":"2021-09-30T09:26:01.365Z","updated_at":"2021-09-30T09:26:01.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2933,"fairsharing_record_id":2579,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:01.391Z","updated_at":"2021-09-30T09:26:01.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2580","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T19:38:54.000Z","updated_at":"2022-07-20T09:03:35.102Z","metadata":{"doi":"10.25504/FAIRsharing.5yH3KC","name":"Medicago truncatula Genome Database","status":"deprecated","contacts":[],"homepage":"https://www.jcvi.org/research/medicago-truncatula-genome-database","citations":[],"identifier":2580,"description":"Medicago truncatula, a close relative of alfalfa, is a preeminent model for the study of the processes of nitrogen fixation, symbiosis, and legume genomics. J. Craig Venter Institute (JCVI; formerly TIGR) has been involved in M. truncatula genome sequencing and annotation since 2002 and has maintained a web-based resource providing data to the community for this entire period. This database stores the latest version of the genome, associated data and legacy project information together with a set of open-source tools.","abbreviation":"MTGD","data_curation":{},"support_links":[{"url":"http://www.medicagogenome.org/contact","name":"MTGD Contact Form","type":"Contact form"},{"url":"http://www.medicagogenome.org/genomeDetail?block=feature_counts","name":"Feature Summary / Statistics","type":"Help documentation"},{"url":"http://www.medicagogenome.org/about/project-overview","name":"Project Overview","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://www.medicagogenome.org/tools/medicmine","name":"MedicMine"},{"url":"http://www.medicagogenome.org/tools/jbrowse","name":"JBrowse"},{"url":"http://www.medicagogenome.org/search/blast","name":"BLAST"}],"deprecation_date":"2022-06-28","deprecation_reason":"The project that created this repository is now completed.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001063","bsg-d001063"],"name":"FAIRsharing record for: Medicago truncatula Genome Database","abbreviation":"MTGD","url":"https://fairsharing.org/10.25504/FAIRsharing.5yH3KC","doi":"10.25504/FAIRsharing.5yH3KC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Medicago truncatula, a close relative of alfalfa, is a preeminent model for the study of the processes of nitrogen fixation, symbiosis, and legume genomics. J. Craig Venter Institute (JCVI; formerly TIGR) has been involved in M. truncatula genome sequencing and annotation since 2002 and has maintained a web-based resource providing data to the community for this entire period. This database stores the latest version of the genome, associated data and legacy project information together with a set of open-source tools.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11511}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Genomics","Life Science"],"domains":["Genome annotation"],"taxonomies":["Medicago truncatula"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":953,"pubmed_id":25432968,"title":"MTGD: The Medicago truncatula genome database.","year":2014,"url":"http://doi.org/10.1093/pcp/pcu179","authors":"Krishnakumar V,Kim M,Rosen BD,Karamycheva S,Bidwell SL,Tang H,Town CD","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcu179","created_at":"2021-09-30T08:24:05.424Z","updated_at":"2021-09-30T08:24:05.424Z"}],"licence_links":[],"grants":[{"id":2936,"fairsharing_record_id":2580,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:26:01.465Z","updated_at":"2021-09-30T09:26:01.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2938,"fairsharing_record_id":2580,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:01.516Z","updated_at":"2021-09-30T09:29:58.355Z","grant_id":493,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS-1444806","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9097,"fairsharing_record_id":2580,"organisation_id":3275,"relation":"funds","created_at":"2022-04-07T13:58:30.379Z","updated_at":"2022-04-07T13:58:30.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":3275,"name":"Zhao Bioinformatics Laboratory, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2939,"fairsharing_record_id":2580,"organisation_id":3108,"relation":"funds","created_at":"2021-09-30T09:26:01.541Z","updated_at":"2021-09-30T09:26:01.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":3108,"name":"University of Oklahoma, USA","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2556","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T10:04:09.000Z","updated_at":"2023-12-15T10:31:55.167Z","metadata":{"doi":"10.25504/FAIRsharing.yknezb","name":"DataCite Repository","status":"ready","contacts":[{"contact_name":"DataCite Support","contact_email":"support@datacite.org"}],"homepage":"https://search.datacite.org/","citations":[],"identifier":2556,"description":"DataCite is a leading global non-profit organisation that provides persistent identifiers (DOIs) for research data. Their goal is to help the research community locate, identify, and cite research data with confidence. They support the creation and allocation of DOIs and accompanying metadata. They provide services that support the enhanced search and discovery of research content. They also promote data citation and advocacy through community-building efforts and responsive communication and outreach materials. DataCite gathers metadata for each DOI assigned to an object. The metadata is used for a large index of research data that can be queried directly to find data, obtain stats and explore connections. All the metadata is free to access and review. To showcase and expose the metadata gathered, DataCite provides an integrated search interface, where it is possible to search, filter and extract all the details from a collection of millions of records.","abbreviation":"DataCite","data_curation":{"type":"none"},"support_links":[{"url":"http://blog.datacite.org","name":"DataCite Blog","type":"Blog/News"},{"url":"https://groups.google.com/a/datacite.org/forum/#!forum/allusers","name":"All Users Mailing List","type":"Mailing list"},{"url":"https://support.datacite.org/docs/datacite-search-user-documentation","name":"DataCite User Documentation","type":"Help documentation"},{"url":"http://status.datacite.org/","name":"Current Status of Service","type":"Help documentation"},{"url":"http://stats.datacite.org/","name":"Statistics","type":"Help documentation"},{"url":"https://www.datacite.org/dois.html","name":"How to assign a DOI","type":"Help documentation"},{"url":"https://twitter.com/datacite","name":"@datacite","type":"Twitter"},{"url":"https://commons.datacite.org/statistics","name":"PID Graph Statistics","type":"Other"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://citation.crosscite.org/","name":"Citation Formatter"},{"url":"https://doi.datacite.org/","name":"Fabrica Registration Tool"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://datacite.org/create-dois/","type":"controlled","notes":"Creating a DOI requires service fees."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001039","bsg-d001039"],"name":"FAIRsharing record for: DataCite Repository","abbreviation":"DataCite","url":"https://fairsharing.org/10.25504/FAIRsharing.yknezb","doi":"10.25504/FAIRsharing.yknezb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DataCite is a leading global non-profit organisation that provides persistent identifiers (DOIs) for research data. Their goal is to help the research community locate, identify, and cite research data with confidence. They support the creation and allocation of DOIs and accompanying metadata. They provide services that support the enhanced search and discovery of research content. They also promote data citation and advocacy through community-building efforts and responsive communication and outreach materials. DataCite gathers metadata for each DOI assigned to an object. The metadata is used for a large index of research data that can be queried directly to find data, obtain stats and explore connections. All the metadata is free to access and review. To showcase and expose the metadata gathered, DataCite provides an integrated search interface, where it is possible to search, filter and extract all the details from a collection of millions of records.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12257}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["Worldwide"],"publications":[{"id":1975,"pubmed_id":25038897,"title":"DataCite and DOI names for research data.","year":2014,"url":"http://doi.org/10.1007/s10822-014-9776-5","authors":"Neumann J,Brase J","journal":"J Comput Aided Mol Des","doi":"10.1007/s10822-014-9776-5","created_at":"2021-09-30T08:26:02.240Z","updated_at":"2021-09-30T08:26:02.240Z"}],"licence_links":[{"licence_name":"DataCite Privacy Policy","licence_id":218,"licence_url":"https://www.datacite.org/privacy.html","link_id":145,"relation":"undefined"},{"licence_name":"DataCite Terms and Conditions","licence_id":219,"licence_url":"https://www.datacite.org/terms.html","link_id":144,"relation":"undefined"}],"grants":[{"id":2882,"fairsharing_record_id":2556,"organisation_id":1140,"relation":"maintains","created_at":"2021-09-30T09:25:59.725Z","updated_at":"2021-09-30T09:25:59.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":1140,"name":"German National Library of Science and Technology (TIB), Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2557","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T10:44:18.000Z","updated_at":"2023-12-15T10:30:26.049Z","metadata":{"doi":"10.25504/FAIRsharing.x68mjp","name":"Publications at Bielefeld University","status":"ready","contacts":[{"contact_email":"publikationsdienste.ub@uni-bielefeld.de"}],"homepage":"https://pub.uni-bielefeld.de/","identifier":2557,"description":"Publications at Bielefeld University (PUB) is the institutional repository of Bielefeld University and preserves the scholarly output of its members. Operated by Bielefeld University Library, PUB provides open access to Bielefeld's scholarly publications and research data in accordance with Bielefeld University's open access and research data resolutions. PUB also collects digital theses. With more than 50,000 publications, PUB is the most comprehensive bibliography on scholarly activities at Bielefeld University. Faculty and researchers self-archive full texts when possible. As a plus, PUB cross-references leading indexing services and disciplinary archives such as the Web of Science, CrossRef, PubMed, Europe PubMed Central, arXiv or INSPIRE HEP.","abbreviation":"PUB","data_curation":{"url":"https://pub.uni-bielefeld.de/docs/howto/start","type":"automated","notes":"Long term curation strategy."},"support_links":[{"url":"https://pub.uni-bielefeld.de/docs/howto/contact","name":"Contact Details","type":"Contact form"},{"url":"https://pub.uni-bielefeld.de/docs/howto/start","name":"About PUB","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010750","name":"re3data:r3d100010750","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://shibboleth.uni-bielefeld.de/idp/profile/SAML2/Redirect/SSO?execution=e1s1","type":"controlled","notes":"Only Bielefeld University members can submit publications."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001040","bsg-d001040"],"name":"FAIRsharing record for: Publications at Bielefeld University","abbreviation":"PUB","url":"https://fairsharing.org/10.25504/FAIRsharing.x68mjp","doi":"10.25504/FAIRsharing.x68mjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Publications at Bielefeld University (PUB) is the institutional repository of Bielefeld University and preserves the scholarly output of its members. Operated by Bielefeld University Library, PUB provides open access to Bielefeld's scholarly publications and research data in accordance with Bielefeld University's open access and research data resolutions. PUB also collects digital theses. With more than 50,000 publications, PUB is the most comprehensive bibliography on scholarly activities at Bielefeld University. Faculty and researchers self-archive full texts when possible. As a plus, PUB cross-references leading indexing services and disciplinary archives such as the Web of Science, CrossRef, PubMed, Europe PubMed Central, arXiv or INSPIRE HEP.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["Open Science"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Horizon 2020 Open Access and Data Management Requirements","licence_id":401,"licence_url":"http://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross-cutting-issues/open-access-dissemination_en.htm","link_id":239,"relation":"undefined"},{"licence_name":"Perl 5 License","licence_id":656,"licence_url":"http://dev.perl.org/licenses/","link_id":236,"relation":"undefined"}],"grants":[{"id":2883,"fairsharing_record_id":2557,"organisation_id":214,"relation":"maintains","created_at":"2021-09-30T09:25:59.759Z","updated_at":"2021-09-30T09:25:59.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":214,"name":"Bielefeld University Library, Bielefeld University, Bielefeld, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2559","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T11:23:31.000Z","updated_at":"2023-12-15T10:27:37.479Z","metadata":{"doi":"10.25504/FAIRsharing.58wjha","name":"da|ra","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"support@da-ra.de","contact_orcid":null},{"contact_name":"Sebastian Netscher","contact_email":"sebastian.netscher@gesis.org","contact_orcid":"0000-0002-2784-6968"}],"homepage":"https://www.da-ra.de/","citations":[],"identifier":2559,"description":"da|ra is the DOI registration agency for social science and economic data jointly run by GESIS and ZBW. This registry provides long-term, persistent identification, storage, localization and reliable citation of research data.","abbreviation":"da|ra","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.da-ra.de/support","name":"Support","type":"Help documentation"},{"url":"https://www.da-ra.de/support#faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.da-ra.de/get-a-doi#da-ra-policy","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001042","bsg-d001042"],"name":"FAIRsharing record for: da|ra","abbreviation":"da|ra","url":"https://fairsharing.org/10.25504/FAIRsharing.58wjha","doi":"10.25504/FAIRsharing.58wjha","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: da|ra is the DOI registration agency for social science and economic data jointly run by GESIS and ZBW. This registry provides long-term, persistent identification, storage, localization and reliable citation of research data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Social Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":["Researcher data"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Da|ra privacy and copyright","licence_id":1039,"licence_url":"https://www.da-ra.de/privacy","link_id":3096,"relation":"applies_to_content"}],"grants":[{"id":2886,"fairsharing_record_id":2559,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:59.868Z","updated_at":"2021-09-30T09:25:59.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2885,"fairsharing_record_id":2559,"organisation_id":1700,"relation":"maintains","created_at":"2021-09-30T09:25:59.829Z","updated_at":"2022-10-12T14:05:05.490Z","grant_id":null,"is_lead":true,"saved_state":{"id":1700,"name":"Leibniz Institute for the Social Sciences","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2887,"fairsharing_record_id":2559,"organisation_id":1696,"relation":"maintains","created_at":"2021-09-30T09:25:59.904Z","updated_at":"2022-10-12T14:05:05.454Z","grant_id":null,"is_lead":true,"saved_state":{"id":1696,"name":"Leibniz Information Centre for Economics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdW9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--80ab17f7ae7c2cf1bf30850174e3156e154f81f3/logo-dara-blue.png?disposition=inline","exhaustive_licences":false}},{"id":"2561","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T12:30:15.000Z","updated_at":"2022-07-20T12:21:54.014Z","metadata":{"doi":"10.25504/FAIRsharing.at6rsf","name":"Image Attribution Framework Development Repository","status":"deprecated","contacts":[{"contact_name":"Christian Haselgrove","contact_email":"iaf@virtualbrain.org","contact_orcid":"0000-0002-4438-0637"}],"homepage":"http://iaf.virtualbrain.org/","identifier":2561,"description":"The Image Attribution Framework Development Repository is a system for neuroimaging data citation and credit with a practical implementation that meets the objectives of unique identification, data use tracking, and integration with traditional credit attribution systems. This reference implementation was created which mirrors the structure of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) neuroimaging data repository using the XNAT platform. DOIs can be assigned upon dataset upload, meaning that project-level identifiers as well as per-image DOIs are created. Note that this reference implementation is for illustration purposes. It is expected that ultimate success of this concept will be through the implementation of these recommendations within existing data hosts, and not through this reference implementation itself.","abbreviation":"IAF","data_curation":{"type":"not found"},"support_links":[{"url":"http://github.com/chaselgrove/doi","name":"GitHub Repository","type":"Github"}],"year_creation":2016,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by NITRC-IR.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001044","bsg-d001044"],"name":"FAIRsharing record for: Image Attribution Framework Development Repository","abbreviation":"IAF","url":"https://fairsharing.org/10.25504/FAIRsharing.at6rsf","doi":"10.25504/FAIRsharing.at6rsf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Image Attribution Framework Development Repository is a system for neuroimaging data citation and credit with a practical implementation that meets the objectives of unique identification, data use tracking, and integration with traditional credit attribution systems. This reference implementation was created which mirrors the structure of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) neuroimaging data repository using the XNAT platform. DOIs can be assigned upon dataset upload, meaning that project-level identifiers as well as per-image DOIs are created. Note that this reference implementation is for illustration purposes. It is expected that ultimate success of this concept will be through the implementation of these recommendations within existing data hosts, and not through this reference implementation itself.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Magnetic resonance imaging","Centrally registered identifier","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2068,"pubmed_id":27570508,"title":"Data Citation in Neuroimaging: Proposed Best Practices for Data Identification and Attribution.","year":2016,"url":"http://doi.org/10.3389/fninf.2016.00034","authors":"Honor LB,Haselgrove C,Frazier JA,Kennedy DN","journal":"Front Neuroinform","doi":"10.3389/fninf.2016.00034","created_at":"2021-09-30T08:26:13.081Z","updated_at":"2021-09-30T08:26:13.081Z"}],"licence_links":[],"grants":[{"id":2890,"fairsharing_record_id":2561,"organisation_id":3089,"relation":"maintains","created_at":"2021-09-30T09:25:59.998Z","updated_at":"2021-09-30T09:25:59.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":3089,"name":"University of Massachusetts Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2891,"fairsharing_record_id":2561,"organisation_id":2752,"relation":"maintains","created_at":"2021-09-30T09:26:00.029Z","updated_at":"2021-09-30T09:26:00.029Z","grant_id":null,"is_lead":false,"saved_state":{"id":2752,"name":"The Child and Adolescent NeuroDevelopment Initiative (CANDI), Department of Psychiatry, University of Massachusetts Medical School, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2893,"fairsharing_record_id":2561,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:00.106Z","updated_at":"2021-09-30T09:26:00.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2892,"fairsharing_record_id":2561,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:26:00.080Z","updated_at":"2021-09-30T09:30:18.146Z","grant_id":645,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"R01 MH083320","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2889,"fairsharing_record_id":2561,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:59.974Z","updated_at":"2021-09-30T09:30:54.457Z","grant_id":929,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41 EB019936","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2626","type":"fairsharing_records","attributes":{"created_at":"2018-07-31T13:19:25.000Z","updated_at":"2023-12-15T10:30:54.942Z","metadata":{"doi":"10.25504/FAIRsharing.fc7b9f","name":"Vertebrate Secretome Database","status":"ready","contacts":[{"contact_name":"José L. Lavín","contact_email":"jllavin@cicbiogune.es","contact_orcid":"0000-0003-0914-3211"}],"homepage":"http://genomics.cicbiogune.es/VerSeDa/index.php","identifier":2626,"description":"Vertebrate Secretome Database (VerSeDa) stores information about proteins that are predicted to be secreted through the classical and non-classical mechanisms, for the wide range of vertebrate species deposited at the NCBI, UCSC and ENSEMBL sites.","abbreviation":"VerSeDa","data_curation":{"type":"not found"},"support_links":[{"url":"http://genomics.cicbiogune.es/VerSeDa/ContactUs.php","type":"Contact form"},{"url":"gap@cicbiogune.es","type":"Support email"},{"url":"http://genomics.cicbiogune.es/VerSeDa/Help.php","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"http://genomics.cicbiogune.es/VerSeDa/SubmitInfo.php","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001115","bsg-d001115"],"name":"FAIRsharing record for: Vertebrate Secretome Database","abbreviation":"VerSeDa","url":"https://fairsharing.org/10.25504/FAIRsharing.fc7b9f","doi":"10.25504/FAIRsharing.fc7b9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Vertebrate Secretome Database (VerSeDa) stores information about proteins that are predicted to be secreted through the classical and non-classical mechanisms, for the wide range of vertebrate species deposited at the NCBI, UCSC and ENSEMBL sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Protein secretion","Protein","Amino acid sequence"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":224,"pubmed_id":28365718,"title":"VerSeDa: vertebrate secretome database.","year":2017,"url":"http://doi.org/10.1093/database/baw171","authors":"Cortazar AR,Oguiza JA,Aransay AM,Lavin JL","journal":"Database (Oxford)","doi":"10.1093/database/baw171","created_at":"2021-09-30T08:22:44.247Z","updated_at":"2021-09-30T08:22:44.247Z"}],"licence_links":[],"grants":[{"id":3046,"fairsharing_record_id":2626,"organisation_id":3103,"relation":"maintains","created_at":"2021-09-30T09:26:05.024Z","updated_at":"2021-09-30T09:26:05.024Z","grant_id":null,"is_lead":false,"saved_state":{"id":3103,"name":"University of Navarre, Spain","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3043,"fairsharing_record_id":2626,"organisation_id":1356,"relation":"maintains","created_at":"2021-09-30T09:26:04.906Z","updated_at":"2021-09-30T09:26:04.906Z","grant_id":null,"is_lead":false,"saved_state":{"id":1356,"name":"Innovation Technology Department of Bizkaia, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3045,"fairsharing_record_id":2626,"organisation_id":518,"relation":"maintains","created_at":"2021-09-30T09:26:04.987Z","updated_at":"2021-09-30T09:26:04.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":518,"name":"CIC bioGUNE, Derio, Spain.","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3047,"fairsharing_record_id":2626,"organisation_id":1197,"relation":"funds","created_at":"2021-09-30T09:26:05.066Z","updated_at":"2021-09-30T09:26:05.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":1197,"name":"Government of the Basque Country, Spain","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9271,"fairsharing_record_id":2626,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:26.813Z","updated_at":"2022-04-11T12:07:26.830Z","grant_id":1054,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"AGL2014-55971-R","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2627","type":"fairsharing_records","attributes":{"created_at":"2018-07-31T14:11:34.000Z","updated_at":"2023-06-23T15:05:32.319Z","metadata":{"doi":"10.25504/FAIRsharing.1de585","name":"Gene Transcription Regulation Database","status":"ready","contacts":[{"contact_name":"Fedor Kolpakov","contact_email":"fedor@biouml.org","contact_orcid":"0000-0002-0396-0256"}],"homepage":"http://gtrd.biouml.org/","citations":[{"doi":"10.1093/nar/gkw951","pubmed_id":27924024,"publication_id":240}],"identifier":2627,"description":"Gene Transcription Regulation Database (GTRD) is a database of transcription factor binding sites (TFBSs) identified by ChIP-seq experiments for human and mouse.","abbreviation":"GTRD","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://wiki.biouml.org/index.php/GTRD","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","data_access_condition":{"url":"http://gtrd20-06.biouml.org/bioumlweb/#","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://wiki.biouml.org/index.php/GTRD_Workflow","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001116","bsg-d001116"],"name":"FAIRsharing record for: Gene Transcription Regulation Database","abbreviation":"GTRD","url":"https://fairsharing.org/10.25504/FAIRsharing.1de585","doi":"10.25504/FAIRsharing.1de585","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Transcription Regulation Database (GTRD) is a database of transcription factor binding sites (TFBSs) identified by ChIP-seq experiments for human and mouse.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Transcription factor binding site prediction","Transcription factor","Chromatin immunoprecipitation - DNA sequencing","Binding site","Transcript","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Russia"],"publications":[{"id":240,"pubmed_id":27924024,"title":"GTRD: a database of transcription factor binding sites identified by ChIP-seq experiments.","year":2016,"url":"http://doi.org/10.1093/nar/gkw951","authors":"Yevshin I,Sharipov R,Valeev T,Kel A,Kolpakov F","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw951","created_at":"2021-09-30T08:22:45.933Z","updated_at":"2021-09-30T11:28:44.319Z"},{"id":2673,"pubmed_id":30445619,"title":"GTRD: a database on gene transcription regulation-2019 update.","year":2018,"url":"http://doi.org/10.1093/nar/gky1128","authors":"Yevshin I,Sharipov R,Kolmykov S,Kondrakhin Y,Kolpakov F","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1128","created_at":"2021-09-30T08:27:28.169Z","updated_at":"2021-09-30T11:29:41.095Z"}],"licence_links":[{"licence_name":"GTRD Free for non-commercial use","licence_id":368,"licence_url":"http://gtrd.biouml.org/","link_id":2413,"relation":"undefined"}],"grants":[{"id":3048,"fairsharing_record_id":2627,"organisation_id":2576,"relation":"funds","created_at":"2021-09-30T09:26:05.115Z","updated_at":"2021-09-30T09:26:05.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":2576,"name":"Skolkovo Foundation, Moscow, Russia","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3049,"fairsharing_record_id":2627,"organisation_id":2422,"relation":"funds","created_at":"2021-09-30T09:26:05.145Z","updated_at":"2021-09-30T09:30:46.123Z","grant_id":860,"is_lead":false,"saved_state":{"id":2422,"name":"Research and development on priority directions of science and technology in Russia, 20142020","grant":"RFMEFI60414X0101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9324,"fairsharing_record_id":2627,"organisation_id":2474,"relation":"funds","created_at":"2022-04-11T12:07:30.466Z","updated_at":"2022-04-11T12:07:30.483Z","grant_id":1324,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"17-00-00296","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2629","type":"fairsharing_records","attributes":{"created_at":"2018-08-01T13:08:26.000Z","updated_at":"2024-05-06T12:15:07.405Z","metadata":{"doi":"10.25504/FAIRsharing.2GMztk","name":"ORTHOlogous MAmmalian Markers","status":"deprecated","contacts":[{"contact_name":"Emmanuel Douzery","contact_email":"emmanuel.douzery@univ-montp2.fr","contact_orcid":"0000-0001-5286-647X"}],"homepage":"http://www.orthomam.univ-montp2.fr/orthomam/html/","citations":[],"identifier":2629,"description":"ORTHOlogous MAmmalian Markers database (OrthoMaM) describes the evolutionary dynamics of orthologous genes in mammalian genomes using a phylogenetic framework.","abbreviation":"OrthoMaM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.orthomam.univ-montp2.fr/orthomam/html/index.php?article=help","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001118","bsg-d001118"],"name":"FAIRsharing record for: ORTHOlogous MAmmalian Markers","abbreviation":"OrthoMaM","url":"https://fairsharing.org/10.25504/FAIRsharing.2GMztk","doi":"10.25504/FAIRsharing.2GMztk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ORTHOlogous MAmmalian Markers database (OrthoMaM) describes the evolutionary dynamics of orthologous genes in mammalian genomes using a phylogenetic framework.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenetics","Life Science"],"domains":["Orthologous","Genome"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":204,"pubmed_id":24723423,"title":"OrthoMaM v8: a database of orthologous exons and coding sequences for comparative genomics in mammals.","year":2014,"url":"http://doi.org/10.1093/molbev/msu132","authors":"Douzery EJ,Scornavacca C,Romiguier J,Belkhir K,Galtier N,Delsuc F,Ranwez V","journal":"Mol Biol Evol","doi":"10.1093/molbev/msu132","created_at":"2021-09-30T08:22:42.256Z","updated_at":"2021-09-30T08:22:42.256Z"},{"id":209,"pubmed_id":18053139,"title":"OrthoMaM: a database of orthologous genomic markers for placental mammal phylogenetics.","year":2007,"url":"http://doi.org/10.1186/1471-2148-7-241","authors":"Ranwez V,Delsuc F,Ranwez S,Belkhir K,Tilak MK,Douzery EJ","journal":"BMC Evol Biol","doi":"10.1186/1471-2148-7-241","created_at":"2021-09-30T08:22:42.740Z","updated_at":"2021-09-30T08:22:42.740Z"}],"licence_links":[],"grants":[{"id":3053,"fairsharing_record_id":2629,"organisation_id":34,"relation":"funds","created_at":"2021-09-30T09:26:05.270Z","updated_at":"2021-09-30T09:26:05.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":34,"name":"Agence Nationale de la Recherche Investissements davenir / Bioinformatique","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3054,"fairsharing_record_id":2629,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:05.303Z","updated_at":"2021-09-30T09:26:05.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2594","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T13:31:08.000Z","updated_at":"2024-03-20T13:28:34.795Z","metadata":{"doi":"10.25504/FAIRsharing.lCVfCv","name":"TreeGenes","status":"ready","contacts":[{"contact_name":"TreeGenes Helpdesk","contact_email":"treegenesdb@gmail.com"}],"homepage":"https://treegenesdb.org/","citations":[],"identifier":2594,"description":"TreeGenes is focused on connecting genomic, phenotypic, and environmental data for forest tree populations across the world. The database provides a custom informatics tools to manage the flood of information resulting from high-throughput genomics projects in forest trees from sample collection to downstream analysis. This resource is enhanced with systems that are well connected with federated databases, automated data flows, machine learning analysis, standardized annotations and quality control processes. The TreeGenes database contains several curated modules that support the storage of data and provide the foundation for web-based searches and visualization tools.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/TreeGenes","name":"@TreeGenes","type":"Twitter"}],"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012352","name":"re3data:r3d100012352","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://treegenesdb.org/tpps","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001077","bsg-d001077"],"name":"FAIRsharing record for: TreeGenes","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.lCVfCv","doi":"10.25504/FAIRsharing.lCVfCv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TreeGenes is focused on connecting genomic, phenotypic, and environmental data for forest tree populations across the world. The database provides a custom informatics tools to manage the flood of information resulting from high-throughput genomics projects in forest trees from sample collection to downstream analysis. This resource is enhanced with systems that are well connected with federated databases, automated data flows, machine learning analysis, standardized annotations and quality control processes. The TreeGenes database contains several curated modules that support the storage of data and provide the foundation for web-based searches and visualization tools.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11641}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Botany","Genomics","Life Science","Data Visualization"],"domains":[],"taxonomies":["Acacieae","Anacardiaceae","Apocynaceae","Araucariaceae","Betulaceae","Cassieae","Cephalotaxaceae","Cupressaceae","Dalbergieae","Detarieae","Dipterocarpaceae","Ericaceae","Euphorbiaceae","Eupteleaceae","Fabaceae","Fagaceae","Gnetaceae","Ixoreae","Jatropheae","Juglandacea","Juglandaceae","Lamiaceae","Lauraceae","Leguminosae","Meliaceae","Myristicaceae","Myrtaceae","Oleaceae","Parasitaxus","Pinaceae","Podocarpaceae","Rosaceae","Salicaceae","Sapotaceae","Sciadopityaceae","Tamaricaceae","Taxaceae","Vitaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":579,"pubmed_id":18725987,"title":"TreeGenes: A forest tree genome database.","year":2008,"url":"http://doi.org/10.1155/2008/412875","authors":"Wegrzyn JL,Lee JM,Tearse BR,Neale DB","journal":"Int J Plant Genomics","doi":"10.1155/2008/412875","created_at":"2021-09-30T08:23:23.351Z","updated_at":"2021-09-30T08:23:23.351Z"},{"id":4199,"pubmed_id":null,"title":"Cyberinfrastructure to Improve Forest Health and Productivity: The Role of Tree Databases in Connecting Genomes, Phenomes, and the Environment","year":2019,"url":"http://dx.doi.org/10.3389/fpls.2019.00813","authors":"Wegrzyn, Jill L.; Staton, Margaret A.; Street, Nathaniel R.; Main, Dorrie; Grau, Emily; Herndon, Nic; Buehler, Sean; Falk, Taylor; Zaman, Sumaira; Ramnath, Risharde; Richter, Peter; Sun, Lang; Condon, Bradford; Almsaeed, Abdullah; Chen, Ming; Mannapperuma, Chanaka; Jung, Sook; Ficklin, Stephen; ","journal":"Front. Plant Sci.","doi":"10.3389/fpls.2019.00813","created_at":"2024-03-20T13:08:58.881Z","updated_at":"2024-03-20T13:08:58.881Z"},{"id":4200,"pubmed_id":null,"title":"Growing and cultivating the forest genomics database, TreeGenes","year":2018,"url":"http://dx.doi.org/10.1093/database/bay084","authors":"Falk, Taylor; Herndon, Nic; Grau, Emily; Buehler, Sean; Richter, Peter; Zaman, Sumaira; Baker, Eliza M; Ramnath, Risharde; Ficklin, Stephen; Staton, Margaret; Feltus, Frank A; Jung, Sook; Main, Doreen; Wegrzyn, Jill L; ","journal":"Database","doi":"10.1093/database/bay084","created_at":"2024-03-20T13:09:15.650Z","updated_at":"2024-03-20T13:09:15.650Z"},{"id":4201,"pubmed_id":null,"title":"Uniform standards for genome databases in forest and fruit trees","year":2012,"url":"http://dx.doi.org/10.1007/s11295-012-0494-7","authors":"Wegrzyn, J. L.; Main, D.; Figueroa, B.; Choi, M.; Yu, J.; Neale, D. B.; Jung, S.; Lee, T.; Stanton, M.; Zheng, P.; Ficklin, S.; Cho, I.; Peace, C.; Evans, K.; Volk, G.; Oraguzie, N.; Chen, C.; Olmstead, M.; Gmitter, G.; Abbott, A. G.; ","journal":"Tree Genetics \u0026amp; Genomes","doi":"10.1007/s11295-012-0494-7","created_at":"2024-03-20T13:09:31.782Z","updated_at":"2024-03-20T13:09:31.782Z"}],"licence_links":[],"grants":[{"id":2964,"fairsharing_record_id":2594,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:02.174Z","updated_at":"2021-09-30T09:30:23.315Z","grant_id":689,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF 1443040","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2965,"fairsharing_record_id":2594,"organisation_id":2330,"relation":"maintains","created_at":"2021-09-30T09:26:02.199Z","updated_at":"2021-09-30T09:26:02.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":2330,"name":"Plant Computational Genomics Lab, University of Conneticut, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2963,"fairsharing_record_id":2594,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:02.149Z","updated_at":"2021-09-30T09:29:29.493Z","grant_id":269,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","grant":"2016-67013-24469","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8137,"fairsharing_record_id":2594,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:09.614Z","updated_at":"2021-09-30T09:31:09.672Z","grant_id":1045,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF 1444573","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8884,"fairsharing_record_id":2594,"organisation_id":3345,"relation":"maintains","created_at":"2022-02-16T18:43:44.069Z","updated_at":"2022-02-16T18:43:44.069Z","grant_id":null,"is_lead":true,"saved_state":{"id":3345,"name":"University of Minho","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdjBEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--67128ea7f665b65384f2d9db656ef65385ec9220/thicker%20text.png?disposition=inline","exhaustive_licences":false}},{"id":"2595","type":"fairsharing_records","attributes":{"created_at":"2018-04-10T09:13:18.000Z","updated_at":"2023-12-15T10:32:30.962Z","metadata":{"doi":"10.25504/FAIRsharing.BrubDI","name":"Mechanism and Catalytic Site Atlas","status":"ready","contacts":[{"contact_name":"António Ribeiro","contact_email":"ribeiro@ebi.ac.uk","contact_orcid":"0000-0002-2533-1231"}],"homepage":"https://www.ebi.ac.uk/thornton-srv/m-csa/","citations":[{"doi":"10.1093/nar/gkx1012","pubmed_id":29106569,"publication_id":2221}],"identifier":2595,"description":"M-CSA is a database of enzyme reaction mechanisms. It provides annotation on the protein, catalytic residues, cofactors, and the reaction mechanisms of hundreds of enzymes. There are two kinds of entries in M-CSA: 'Detailed mechanism' entries are more complete and show the individual chemical steps of the mechanism as schemes with electron flow arrows; and 'Catalytic Site' entries annotate the catalytic residues necessary for the reaction, but do not show the mechanism.","abbreviation":"M-CSA","data_curation":{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/documentation/","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/documentation/","name":"M-CSA Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/about/","name":"About M-CSA","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/stats/","name":"M-CSA Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010815","name":"re3data:r3d100010815","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013099","name":"SciCrunch:RRID:SCR_013099","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001078","bsg-d001078"],"name":"FAIRsharing record for: Mechanism and Catalytic Site Atlas","abbreviation":"M-CSA","url":"https://fairsharing.org/10.25504/FAIRsharing.BrubDI","doi":"10.25504/FAIRsharing.BrubDI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: M-CSA is a database of enzyme reaction mechanisms. It provides annotation on the protein, catalytic residues, cofactors, and the reaction mechanisms of hundreds of enzymes. There are two kinds of entries in M-CSA: 'Detailed mechanism' entries are more complete and show the individual chemical steps of the mechanism as schemes with electron flow arrows; and 'Catalytic Site' entries annotate the catalytic residues necessary for the reaction, but do not show the mechanism.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Enzymology","Biology"],"domains":["Annotation","Catalytic activity","Enzymatic reaction","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2221,"pubmed_id":29106569,"title":"Mechanism and Catalytic Site Atlas (M-CSA): a database of enzyme reaction mechanisms and active sites.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1012","authors":"Ribeiro AJM,Holliday GL,Furnham N,Tyzack JD,Ferris K,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1012","created_at":"2021-09-30T08:26:30.296Z","updated_at":"2021-09-30T11:29:31.136Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":1104,"relation":"undefined"}],"grants":[{"id":2967,"fairsharing_record_id":2595,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:02.249Z","updated_at":"2021-09-30T09:26:02.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2966,"fairsharing_record_id":2595,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:02.225Z","updated_at":"2021-09-30T09:26:02.225Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2968,"fairsharing_record_id":2595,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:26:02.274Z","updated_at":"2021-09-30T09:26:02.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2619","type":"fairsharing_records","attributes":{"created_at":"2018-07-19T14:02:06.000Z","updated_at":"2023-12-15T10:33:01.593Z","metadata":{"doi":"10.25504/FAIRsharing.394bd6","name":"NASA Ames PAH IR Spectroscopic Database","status":"ready","contacts":[{"contact_name":"Charles W. Bauschlicher Jr.","contact_email":"Charles.W.Bauschlicher@nasa.gov"}],"homepage":"https://www.astrochemistry.org/pahdb/","citations":[],"identifier":2619,"description":"Collaboration between the astronomers, laboratory chemists and theoretical chemists at the facilities of NASA's Ames Research Center resulted in the collection of PAH spectra known as The NASA Ames PAH IR Spectroscopic Database. Collaboration with different institutes, across several countries, helped mature the database and allowed for the construction of the web-portal with its data and tools. Initially intended for astronomers to explain the astronomical unidentified infrared bands and to investigate the \"PAH hypothesis\", now the spectral data and developed paradigms prove also valuable to, e.g., chemists, environmentalists, pharmacologists and nano-technologists.","abbreviation":"PAHdb","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.facebook.com/NASA-Ames-Astrophysics-Astrochemistry-Laboratory-165023493513003/","name":"Facebook","type":"Facebook"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/video","name":"Video Tutorial","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/view","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/technologies","name":"Technologies","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/pressreleases","name":"Press Releases","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/tour","name":"Tour","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/about","name":"About the NASA Ames PAH IR Spectroscopic Database","type":"Help documentation"},{"url":"https://twitter.com/AmesLabAstro","name":"@AmesLabAstro","type":"Twitter"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://www.astrochemistry.org/pahdb/theoretical/3.00/tools/view","name":"Database Tools (all)"},{"url":"http://www.astrochemistry.org/pahdb/theoretical/3.00/help/amespahdbidlsuite","name":"AmesPAHdbIDLSuite"}],"data_access_condition":{"type":"partially open","notes":"A valid e-mail address must be sent in order to track the users of the data."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001106","bsg-d001106"],"name":"FAIRsharing record for: NASA Ames PAH IR Spectroscopic Database","abbreviation":"PAHdb","url":"https://fairsharing.org/10.25504/FAIRsharing.394bd6","doi":"10.25504/FAIRsharing.394bd6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Collaboration between the astronomers, laboratory chemists and theoretical chemists at the facilities of NASA's Ames Research Center resulted in the collection of PAH spectra known as The NASA Ames PAH IR Spectroscopic Database. Collaboration with different institutes, across several countries, helped mature the database and allowed for the construction of the web-portal with its data and tools. Initially intended for astronomers to explain the astronomical unidentified infrared bands and to investigate the \"PAH hypothesis\", now the spectral data and developed paradigms prove also valuable to, e.g., chemists, environmentalists, pharmacologists and nano-technologists.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11797}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Nanotechnology","Chemistry","Astrophysics and Astronomy","Pharmacology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2403,"pubmed_id":null,"title":"The NASA Ames PAH IR Spectroscopic Database Version 2.00: Updated Content, Web Site, and On(Off)line Tools","year":2014,"url":"http://doi.org/10.1088/0067-0049/211/1/8","authors":"C. Boersma, C. W. Bauschlicher Jr., A. Ricca, A. L. Mattioda, J. Cami, E. Peeters, F. Sánchez de Armas, G. Puerta Saborido, D. M. Hudgins, and L. J. Allamandola","journal":"The Astrophysical Journal Supplement Series","doi":"10.1088/0067-0049/211/1/8","created_at":"2021-09-30T08:26:54.969Z","updated_at":"2021-09-30T08:26:54.969Z"},{"id":2412,"pubmed_id":null,"title":"The NASA Ames PAH IR Spectroscopic Database: Computational Version 3.00 with Updated Content and the Introduction of Multiple Scaling Factors","year":2018,"url":"http://doi.org/10.3847/1538-4365/aaa019","authors":"Charles W. Bauschlicher Jr., A. Ricca, C. Boersma, and L. J. Allamandola","journal":"The Astrophysical Journal Supplement Series","doi":"10.3847/1538-4365/aaa019","created_at":"2021-09-30T08:26:56.051Z","updated_at":"2021-09-30T08:26:56.051Z"}],"licence_links":[{"licence_name":"The Astrophysics \u0026 Astrochemistry Laboratory's Terms of Service","licence_id":782,"licence_url":"http://www.astrochemistry.org/pahdb/theoretical/3.00/help/terms","link_id":1679,"relation":"undefined"}],"grants":[{"id":3019,"fairsharing_record_id":2619,"organisation_id":2744,"relation":"maintains","created_at":"2021-09-30T09:26:04.094Z","updated_at":"2021-09-30T09:26:04.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":2744,"name":"The Astrophysics \u0026 Astrochemistry Laboratory, Ames Research Center, Mountain View, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2621","type":"fairsharing_records","attributes":{"created_at":"2018-07-19T20:31:02.000Z","updated_at":"2023-12-15T10:30:22.808Z","metadata":{"doi":"10.25504/FAIRsharing.401958","name":"NIST Atomic Spectra Database","status":"ready","contacts":[{"contact_name":"Yuri Ralchenko","contact_email":"yuri.ralchenko@nist.gov","contact_orcid":"0000-0003-0083-9554"}],"homepage":"https://www.nist.gov/pml/atomic-spectra-database","citations":[],"identifier":2621,"description":"The Atomic Spectra Database (ASD) contains data for radiative transitions and energy levels in atoms and atomic ions. Data are included for observed transitions and energy levels of most of the known chemical elements. ASD contains data on spectral lines with wavelengths from about 20 pm (picometers) to 60 m (meters). For many lines, ASD includes radiative transition probabilities. The energy level data include the ground states and ionization energies for all spectra. For most spectra, wavelengths, transition-probabilities, relative intensities, and energy levels are integrated, so that all the available information for a given transition is incorporated under a single listing. For classified lines, in addition to the observed wavelength, ASD includes the Ritz wavelength, which is the wavelength derived from the energy levels.","abbreviation":"ASD","data_curation":{"type":"none"},"support_links":[{"url":"https://www.nist.gov/srd/standard-reference-data-contact-form?id=78","name":"Contact Form","type":"Contact form"},{"url":"https://www.nist.gov/about-nist/contact-us","name":"Contact Us","type":"Contact form"},{"url":"http://physics.nist.gov/PhysRefData/ASD/Html/help.html","name":"Help Pages","type":"Help documentation"},{"url":"https://www.nist.gov/pml/atomic-spectra-database-contents","name":"ASD Documentation","type":"Help documentation"},{"url":"https://www.nist.gov/pml/atomic-spectroscopy-compendium-basic-ideas-notation-data-and-formulas","name":"Atomic Spectroscopy Introduction","type":"Help documentation"},{"url":"https://physics.nist.gov/PhysRefData/ASD/Html/verhist.shtml","name":"Version History","type":"Help documentation"}],"year_creation":1979,"data_versioning":"yes","associated_tools":[{"url":"https://physics.nist.gov/PhysRefData/ASD/LIBS/libs-form.html","name":"ASD Interface for Laser Induced Breakdown Spectroscopy (LIBS)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011296","name":"re3data:r3d100011296","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001108","bsg-d001108"],"name":"FAIRsharing record for: NIST Atomic Spectra Database","abbreviation":"ASD","url":"https://fairsharing.org/10.25504/FAIRsharing.401958","doi":"10.25504/FAIRsharing.401958","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Atomic Spectra Database (ASD) contains data for radiative transitions and energy levels in atoms and atomic ions. Data are included for observed transitions and energy levels of most of the known chemical elements. ASD contains data on spectral lines with wavelengths from about 20 pm (picometers) to 60 m (meters). For many lines, ASD includes radiative transition probabilities. The energy level data include the ground states and ionization energies for all spectra. For most spectra, wavelengths, transition-probabilities, relative intensities, and energy levels are integrated, so that all the available information for a given transition is incorporated under a single listing. For classified lines, in addition to the observed wavelength, ASD includes the Ritz wavelength, which is the wavelength derived from the energy levels.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11798}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry"],"domains":["Radiation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NIST Database Disclaimer","licence_id":588,"licence_url":"https://www.nist.gov/pml/database-disclaimer","link_id":1680,"relation":"undefined"}],"grants":[{"id":3022,"fairsharing_record_id":2621,"organisation_id":2169,"relation":"funds","created_at":"2021-09-30T09:26:04.174Z","updated_at":"2021-09-30T09:26:04.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":2169,"name":"NIST Standard Reference Data Program (SRDP), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3021,"fairsharing_record_id":2621,"organisation_id":2228,"relation":"funds","created_at":"2021-09-30T09:26:04.143Z","updated_at":"2021-09-30T09:26:04.143Z","grant_id":null,"is_lead":false,"saved_state":{"id":2228,"name":"Office of Fusion Energy Sciences of the U.S. Department of Energy, Washington D.C., USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3023,"fairsharing_record_id":2621,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:26:04.213Z","updated_at":"2021-09-30T09:26:04.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3024,"fairsharing_record_id":2621,"organisation_id":2025,"relation":"maintains","created_at":"2021-09-30T09:26:04.245Z","updated_at":"2021-09-30T09:26:04.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":2025,"name":"National Institute of Standards and Technology (NIST), Gaithersburg MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2622","type":"fairsharing_records","attributes":{"created_at":"2018-07-19T20:45:27.000Z","updated_at":"2023-06-22T17:17:48.452Z","metadata":{"doi":"10.25504/FAIRsharing.3c1056","name":"Kinetic Database for Astrochemistry","status":"ready","contacts":[{"contact_name":"Valentine Wakelam","contact_email":"valentine.wakelam@u-bordeaux.fr","contact_orcid":"0000-0001-9676-2605"}],"homepage":"https://kida.astrochem-tools.org/","citations":[],"identifier":2622,"description":"KIDA (KInetic Database for Astrochemistry) is a database of kinetic data of interest for astrochemical (interstellar medium and planetary atmospheres) studies. KIDA is a project initiated by different communities in order to 1) improve the interaction between astrochemists and physico-chemists and 2) simplify the work of modeling the chemistry of astrophysical environments. Here astrophysical environments stand for the interstellar medium and planetary atmospheres. Both types of environments use similar chemical networks and the physico-chemists who work on the determination of reaction rate coefficients for both types of environment are the same.","abbreviation":"KIDA","data_curation":{"type":"manual"},"support_links":[{"url":"kida-obs@u-bordeaux.fr","name":"General contact","type":"Support email"},{"url":"https://kida.astrochem-tools.org/help.html","name":"KIDA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://kida.astrochem-tools.org/contact.html","name":"Contact","type":"Other"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://kida.astrochem-tools.org/help.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001109","bsg-d001109"],"name":"FAIRsharing record for: Kinetic Database for Astrochemistry","abbreviation":"KIDA","url":"https://fairsharing.org/10.25504/FAIRsharing.3c1056","doi":"10.25504/FAIRsharing.3c1056","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KIDA (KInetic Database for Astrochemistry) is a database of kinetic data of interest for astrochemical (interstellar medium and planetary atmospheres) studies. KIDA is a project initiated by different communities in order to 1) improve the interaction between astrochemists and physico-chemists and 2) simplify the work of modeling the chemistry of astrophysical environments. Here astrophysical environments stand for the interstellar medium and planetary atmospheres. Both types of environments use similar chemical networks and the physico-chemists who work on the determination of reaction rate coefficients for both types of environment are the same.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11799}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Astrophysics and Astronomy","Atmospheric Science"],"domains":["Kinetic model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2404,"pubmed_id":null,"title":"A KInetic Database for Astrochemistry (KIDA)","year":2012,"url":"http://doi.org/10.1088/0067-0049/199/1/21","authors":"V. Wakelam, E. Herbst, J.-C. Loison, I. W. M. Smith, V. Chandrasekaran, B. Pavone, N. G. Adams, M.-C. Bacchus-Montabonel, A. Bergeat, K. Béroff, V. M. Bierbaum, M. Chabot, A. Dalgarno, E. F. van Dishoeck, A. Faure, W. D. Geppert, D. Gerlich, D. Galli, E. Hébrard, F. Hersant, K. M. Hickson, P. Honvault, S. J. Klippenstein, S. Le Picard, G. Nyman, P. Pernot, S. Schlemmer, F. Selsis, I. R. Sims, D. Talbi, J. Tennyson, J. Troe, R. Wester, L. Wiesenfeld","journal":"arXiv","doi":"10.1088/0067-0049/199/1/21","created_at":"2021-09-30T08:26:55.083Z","updated_at":"2021-09-30T11:29:51.743Z"}],"licence_links":[],"grants":[{"id":3025,"fairsharing_record_id":2622,"organisation_id":2983,"relation":"maintains","created_at":"2021-09-30T09:26:04.282Z","updated_at":"2021-09-30T09:26:04.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":2983,"name":"Universite de bordeaux, Bordeaux, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3027,"fairsharing_record_id":2622,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:26:04.353Z","updated_at":"2021-09-30T09:26:04.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3031,"fairsharing_record_id":2622,"organisation_id":3147,"relation":"maintains","created_at":"2021-09-30T09:26:04.474Z","updated_at":"2021-09-30T09:26:04.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":3147,"name":"University of Virginia, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3033,"fairsharing_record_id":2622,"organisation_id":3177,"relation":"funds","created_at":"2021-09-30T09:26:04.557Z","updated_at":"2021-09-30T09:26:04.557Z","grant_id":null,"is_lead":false,"saved_state":{"id":3177,"name":"VAMDC Consortium","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3036,"fairsharing_record_id":2622,"organisation_id":128,"relation":"funds","created_at":"2021-09-30T09:26:04.675Z","updated_at":"2021-09-30T09:26:04.675Z","grant_id":null,"is_lead":false,"saved_state":{"id":128,"name":"Astronet","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3026,"fairsharing_record_id":2622,"organisation_id":1522,"relation":"funds","created_at":"2021-09-30T09:26:04.321Z","updated_at":"2021-09-30T09:26:04.321Z","grant_id":null,"is_lead":false,"saved_state":{"id":1522,"name":"International Space Science Institute, Switzerland","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3028,"fairsharing_record_id":2622,"organisation_id":967,"relation":"funds","created_at":"2021-09-30T09:26:04.389Z","updated_at":"2021-09-30T09:26:04.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":967,"name":"Europlanet Society","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3029,"fairsharing_record_id":2622,"organisation_id":1663,"relation":"maintains","created_at":"2021-09-30T09:26:04.419Z","updated_at":"2021-09-30T09:26:04.419Z","grant_id":null,"is_lead":false,"saved_state":{"id":1663,"name":"Laboratoire d'Astrophysique de Bordeaux","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3030,"fairsharing_record_id":2622,"organisation_id":2214,"relation":"maintains","created_at":"2021-09-30T09:26:04.443Z","updated_at":"2021-09-30T09:26:04.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2214,"name":"Observatoire Aquitain des Sciences de l'Univers, Pessac, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3032,"fairsharing_record_id":2622,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:04.515Z","updated_at":"2021-09-30T09:26:04.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3034,"fairsharing_record_id":2622,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:04.595Z","updated_at":"2021-09-30T09:26:04.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3035,"fairsharing_record_id":2622,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:26:04.632Z","updated_at":"2021-09-30T09:26:04.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2623","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T15:26:20.000Z","updated_at":"2022-07-20T11:39:49.883Z","metadata":{"name":"Longhorn Array Database","status":"deprecated","contacts":[{"contact_name":"Yan Song","contact_email":"yan.song@okstate.edu"}],"homepage":"http://darwin.biochem.okstate.edu/lad/ilat/","identifier":2623,"description":"The Longhorn Array Database (LAD) is a MIAME‐compliant microarray database that operates on PostgreSQL and Linux. It is a free, completely open‐source, and provides a systematic and proven environment in which vast experiment sets can be safely archived, securely accessed, biologically annotated, quantitatively analyzed, and visually explored. This unit provides the complete set of information needed to successfully deploy, configure, and use LAD for the purposes of two‐color DNA microarray analysis and visualization.","abbreviation":"LAD","data_curation":{"type":"not found"},"support_links":[{"url":"http://darwin.biochem.okstate.edu/lad/ilat/help.shtml","name":"Online Help","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001110","bsg-d001110"],"name":"FAIRsharing record for: Longhorn Array Database","abbreviation":"LAD","url":"https://fairsharing.org/fairsharing_records/2623","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Longhorn Array Database (LAD) is a MIAME‐compliant microarray database that operates on PostgreSQL and Linux. It is a free, completely open‐source, and provides a systematic and proven environment in which vast experiment sets can be safely archived, securely accessed, biologically annotated, quantitatively analyzed, and visually explored. This unit provides the complete set of information needed to successfully deploy, configure, and use LAD for the purposes of two‐color DNA microarray analysis and visualization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Microarray experiment","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2222,"pubmed_id":18428730,"title":"Microarray data visualization and analysis with the Longhorn Array Database (LAD).","year":2008,"url":"http://doi.org/10.1002/0471250953.bi0710s08","authors":"Killion PJ,Iyer VR","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0710s08","created_at":"2021-09-30T08:26:30.397Z","updated_at":"2021-09-30T08:26:30.397Z"},{"id":2287,"pubmed_id":12930545,"title":"The Longhorn Array Database (LAD): an open-source, MIAME compliant implementation of the Stanford Microarray Database (SMD).","year":2003,"url":"http://doi.org/10.1186/1471-2105-4-32","authors":"Killion PJ,Sherlock G,Iyer VR","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-4-32","created_at":"2021-09-30T08:26:38.725Z","updated_at":"2021-09-30T08:26:38.725Z"}],"licence_links":[],"grants":[{"id":3037,"fairsharing_record_id":2623,"organisation_id":3138,"relation":"maintains","created_at":"2021-09-30T09:26:04.717Z","updated_at":"2021-09-30T09:26:04.717Z","grant_id":null,"is_lead":false,"saved_state":{"id":3138,"name":"University of Texas at Austin, Austin, TX, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2612","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T12:53:29.000Z","updated_at":"2023-06-23T16:00:01.352Z","metadata":{"doi":"10.25504/FAIRsharing.3fa02d","name":"Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts","status":"ready","contacts":[{"contact_name":"Yutaka Suzuki","contact_email":"ysuzuki@k.u-tokyo.ac.jp"}],"homepage":"http://kero.hgc.jp/","citations":[],"identifier":2612,"description":"The Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts (DBKERO) stores transcriptome information with a catalogue of genomic variations including public SNP data and epigenome information to enable further in-depth analyses on the disease-causing molecular mechanisms. Recent additions include genomic variation datasets and epigenome variation datasets focusing on the Japanese population. These datasets were collected as a series of genome-wide association studies and as part of International Human Epigenome Consortium (IHEC) projects. The goal is to have this database serve as a model case for the genomic, epigenomic and transcriptomic variations occurring in particular ethnic backgrounds and underlying various diseases. Clinical samples data were also associated with data from various model systems such as drug perturbation datasets using cultured cancer cells.","abbreviation":"DBKERO","data_curation":{"type":"not found"},"support_links":[{"url":"http://kero.hgc.jp/?doc:help_2017.html","name":"How to use DBKERO","type":"Help documentation"},{"url":"http://kero.hgc.jp/?doc:data_contents_2017.html","name":"Data Contents","type":"Help documentation"},{"url":"http://kero.hgc.jp/?doc:protocol_2017.html","name":"Experimental Protocols","type":"Help documentation"}],"year_creation":2001,"data_versioning":"no","associated_tools":[{"url":"https://integbio.jp/rdf/kero/?view=detail\u0026id=kero","name":"DBKERO RDF"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001096","bsg-d001096"],"name":"FAIRsharing record for: Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts","abbreviation":"DBKERO","url":"https://fairsharing.org/10.25504/FAIRsharing.3fa02d","doi":"10.25504/FAIRsharing.3fa02d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts (DBKERO) stores transcriptome information with a catalogue of genomic variations including public SNP data and epigenome information to enable further in-depth analyses on the disease-causing molecular mechanisms. Recent additions include genomic variation datasets and epigenome variation datasets focusing on the Japanese population. These datasets were collected as a series of genome-wide association studies and as part of International Human Epigenome Consortium (IHEC) projects. The goal is to have this database serve as a model case for the genomic, epigenomic and transcriptomic variations occurring in particular ethnic backgrounds and underlying various diseases. Clinical samples data were also associated with data from various model systems such as drug perturbation datasets using cultured cancer cells.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12807}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenetics","Life Science","Transcriptomics","Biomedical Science","Population Genetics"],"domains":["Regulation of gene expression","Mutation","Disease","Single nucleotide polymorphism","Regulatory region","Genome-wide association study","Gene-disease association"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2105,"pubmed_id":29126224,"title":"DBTSS/DBKERO for integrated analysis of transcriptional regulation.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1001","authors":"Suzuki A,Kawano S,Mitsuyama T,Suyama M,Kanai Y,Shirahige K,Sasaki H,Tokunaga K,Tsuchihara K,Sugano S,Nakai K,Suzuki Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1001","created_at":"2021-09-30T08:26:17.264Z","updated_at":"2021-09-30T11:29:29.311Z"}],"licence_links":[],"grants":[{"id":3000,"fairsharing_record_id":2612,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:26:03.434Z","updated_at":"2021-09-30T09:26:03.434Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2998,"fairsharing_record_id":2612,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:26:03.385Z","updated_at":"2021-09-30T09:31:43.602Z","grant_id":1299,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","grant":"16H06279","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2999,"fairsharing_record_id":2612,"organisation_id":774,"relation":"maintains","created_at":"2021-09-30T09:26:03.409Z","updated_at":"2021-09-30T09:26:03.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":774,"name":"Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3001,"fairsharing_record_id":2612,"organisation_id":1595,"relation":"maintains","created_at":"2021-09-30T09:26:03.468Z","updated_at":"2021-09-30T09:26:03.468Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2614","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T13:44:50.000Z","updated_at":"2024-03-21T13:59:17.851Z","metadata":{"name":"Brassica Information Portal","status":"deprecated","contacts":[{"contact_email":"bip@earlham.ac.uk"}],"homepage":"https://bip.earlham.ac.uk/","citations":[],"identifier":2614,"description":"The Brassica Information Portal is a web repository for population and trait scoring information related to the Brassica breeding community. It provides information about quantitative trait loci and links curated Brassica phenotype experimental data with genotype information stored in external data sources. Advanced data submission capabilities and APIs enable users to store and publish their own study results in BIP. The repository can be easily browsed thanks to a set of user-friendly query interfaces.","abbreviation":"BIP","data_curation":{"type":"not found"},"support_links":[{"url":"https://bip.earlham.ac.uk/about_bip","name":"About BIP","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://bip.earlham.ac.uk/analyses/new","name":"GWAS using GWASSER"}],"deprecation_date":"2022-06-27","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001098","bsg-d001098"],"name":"FAIRsharing record for: Brassica Information Portal","abbreviation":"BIP","url":"https://fairsharing.org/fairsharing_records/2614","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Brassica Information Portal is a web repository for population and trait scoring information related to the Brassica breeding community. It provides information about quantitative trait loci and links curated Brassica phenotype experimental data with genotype information stored in external data sources. Advanced data submission capabilities and APIs enable users to store and publish their own study results in BIP. The repository can be easily browsed thanks to a set of user-friendly query interfaces.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16737}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Plant Breeding","Life Science","Population Genetics"],"domains":["Phenotype","Quantitative trait loci","Genotype"],"taxonomies":["Brassica"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United Kingdom"],"publications":[{"id":467,"pubmed_id":28529710,"title":"Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data.","year":2017,"url":"http://doi.org/10.12688/f1000research.11301.2","authors":"Eckes AH,Gubala T,Nowakowski P,Szymczyszyn T,Wells R,Irwin JA,Horro C,Hancock JM,King G,Dyer SC,Jurkowski W","journal":"F1000Res","doi":"10.12688/f1000research.11301.2","created_at":"2021-09-30T08:23:10.762Z","updated_at":"2021-09-30T08:23:10.762Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1623,"relation":"undefined"}],"grants":[{"id":3005,"fairsharing_record_id":2614,"organisation_id":801,"relation":"maintains","created_at":"2021-09-30T09:26:03.610Z","updated_at":"2021-09-30T09:26:03.610Z","grant_id":null,"is_lead":false,"saved_state":{"id":801,"name":"Earlham Institute, Norwich, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3007,"fairsharing_record_id":2614,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:03.659Z","updated_at":"2021-09-30T09:26:03.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11587,"fairsharing_record_id":2614,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:17.659Z","updated_at":"2024-03-21T13:59:17.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2615","type":"fairsharing_records","attributes":{"created_at":"2018-06-07T12:52:27.000Z","updated_at":"2023-12-15T10:30:25.125Z","metadata":{"doi":"10.25504/FAIRsharing.d8fea5","name":"Metabolonote","status":"ready","contacts":[{"contact_name":"Metabolonote Administrators","contact_email":"metabolonote@kazusa.or.jp"}],"homepage":"http://metabolonote.kazusa.or.jp","citations":[],"identifier":2615,"description":"Metabolonote is a specialized database system that manages metadata for experimental data obtained through the study of Metabolomics. This system was developed with the aim of promoting the publication and utilization of Metabolomics data by simplifying the metadata recording process.","abbreviation":"Metabolonote","data_curation":{"type":"none"},"support_links":[{"url":"http://metabolonote.kazusa.or.jp/Help:Create_New_Account","name":"How to Create an Account","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Help:Data_Structure_ID","name":"Structure and ID Notation","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Help:Setup_Metabolonote","name":"How to Setup a Local Metabolonote Installation","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Help:Contents","name":"Help Pages","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Metabolonote:About","name":"About Metabolonote","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001099","bsg-d001099"],"name":"FAIRsharing record for: Metabolonote","abbreviation":"Metabolonote","url":"https://fairsharing.org/10.25504/FAIRsharing.d8fea5","doi":"10.25504/FAIRsharing.d8fea5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metabolonote is a specialized database system that manages metadata for experimental data obtained through the study of Metabolomics. This system was developed with the aim of promoting the publication and utilization of Metabolomics data by simplifying the metadata recording process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Metabolomics"],"domains":["Experimental measurement","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1360,"pubmed_id":25905099,"title":"Metabolonote: a wiki-based database for managing hierarchical metadata of metabolome analyses.","year":2015,"url":"http://doi.org/10.3389/fbioe.2015.00038","authors":"Ara T,Enomoto M,Arita M,Ikeda C,Kera K,Yamada M,Nishioka T,Ikeda T,Nihei Y,Shibata D,Kanaya S,Sakurai N","journal":"Front Bioeng Biotechnol","doi":"10.3389/fbioe.2015.00038","created_at":"2021-09-30T08:24:52.085Z","updated_at":"2021-09-30T08:24:52.085Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2253,"relation":"undefined"}],"grants":[{"id":3009,"fairsharing_record_id":2615,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:26:03.732Z","updated_at":"2021-09-30T09:26:03.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3008,"fairsharing_record_id":2615,"organisation_id":1628,"relation":"maintains","created_at":"2021-09-30T09:26:03.690Z","updated_at":"2021-09-30T09:26:03.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":1628,"name":"Kazusa DNA Research Institute, Chiba, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3010,"fairsharing_record_id":2615,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:26:03.774Z","updated_at":"2021-09-30T09:26:03.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2616","type":"fairsharing_records","attributes":{"created_at":"2018-07-17T08:27:41.000Z","updated_at":"2024-04-29T10:30:18.375Z","metadata":{"doi":"10.25504/FAIRsharing.92473c","name":"IUPAC Gold Book : Compendium of Chemical Terminology","status":"ready","contacts":[{"contact_name":"Jan Kaiser - Content Editor","contact_email":"goldbook@iupac.org","contact_orcid":null},{"contact_name":"Stuart Chalk - Technical Editor","contact_email":"goldbook@iupac.org","contact_orcid":null}],"homepage":"https://goldbook.iupac.org/","citations":[],"identifier":2616,"description":"The Compendium is popularly referred to as the \"Gold Book\" and is one of the series of IUPAC \"Colour Books\" on chemical nomenclature, terminology, symbols and units, and collects together terminology definitions from IUPAC recommendations already published in Pure and Applied Chemistry and in the other Colour Books.","abbreviation":"IUPAC Gold Book","data_curation":{"type":"manual"},"support_links":[{"url":"https://goldbook.iupac.org/pages/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/iupac","type":"Github"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"https://httpd.apache.org/docs/2.4/","name":"Apache Webserver"},{"url":"https://www.php.net/","name":"PHP Scripting Language"},{"url":"https://book.cakephp.org/2/en/index.html","name":"CakePHP Scripting Framework"},{"url":"https://www.jetbrains.com/phpstorm/","name":"PHPStorm Coding Environment "},{"url":"https://getbootstrap.com/","name":"Bootstrap UI"},{"url":"https://jquery.com/","name":"JQuery JavaScript Framework"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001101","bsg-d001101"],"name":"FAIRsharing record for: IUPAC Gold Book : Compendium of Chemical Terminology","abbreviation":"IUPAC Gold Book","url":"https://fairsharing.org/10.25504/FAIRsharing.92473c","doi":"10.25504/FAIRsharing.92473c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Compendium is popularly referred to as the \"Gold Book\" and is one of the series of IUPAC \"Colour Books\" on chemical nomenclature, terminology, symbols and units, and collects together terminology definitions from IUPAC recommendations already published in Pure and Applied Chemistry and in the other Colour Books.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry","Natural Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":3012,"fairsharing_record_id":2616,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:26:03.848Z","updated_at":"2024-04-09T12:51:33.734Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2608","type":"fairsharing_records","attributes":{"created_at":"2018-06-12T15:13:37.000Z","updated_at":"2022-12-16T15:51:43.341Z","metadata":{"doi":"10.25504/FAIRsharing.178BmT","name":"Portail Data INRAE","status":"deprecated","contacts":[{"contact_name":"Esther Dzalé Yeumo","contact_email":"esther.dzale-yeumo@inrae.fr","contact_orcid":"0000-0001-5954-8415"}],"homepage":"https://data.inrae.fr/","citations":[],"identifier":2608,"description":"Portail Data INRAE is offered by INRAE as part of its mission to open the results of its research. INRAE is Europe’s top agricultural research institute and the world’s number two centre for the agricultural sciences. Data INRAE will share research data in relation to food, nutrition, agriculture and environment. It includes experimental, simulation and observation data, omics data, survey and text data. Only data produced by or in collaboration with INRAE will be hosted in the repository, but anyone can access the metadata and the open data. Data INRAE is built on software from the Dataverse Project.","abbreviation":"Data INRAE","data_curation":{},"support_links":[{"url":"datainrae@inrae.fr","name":"Data INRAE support team","type":"Support email"},{"url":"https://docs.google.com/document/d/1YjBvWlgN_52wiggvOVOG5kGy8NMZ7EMobgnUu-GRiok/edit","name":"Data INRAE - Guide de lutilisateur (in french)","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012673","name":"re3data:r3d100012673","portal":"re3data"}],"deprecation_date":"2022-12-12","deprecation_reason":"Data INRAE has joined the French national repository Recherche Data Gouv, and therefore has been superceded by Recherche Data Gouv.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001091","bsg-d001091"],"name":"FAIRsharing record for: Portail Data INRAE","abbreviation":"Data INRAE","url":"https://fairsharing.org/10.25504/FAIRsharing.178BmT","doi":"10.25504/FAIRsharing.178BmT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Portail Data INRAE is offered by INRAE as part of its mission to open the results of its research. INRAE is Europe’s top agricultural research institute and the world’s number two centre for the agricultural sciences. Data INRAE will share research data in relation to food, nutrition, agriculture and environment. It includes experimental, simulation and observation data, omics data, survey and text data. Only data produced by or in collaboration with INRAE will be hosted in the repository, but anyone can access the metadata and the open data. Data INRAE is built on software from the Dataverse Project.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12806},{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12984}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Soil Science","Botany","Economics","Forest Management","Animal Genetics","Genomics","Animal Physiology","Horticulture","Animal Husbandry","Food Security","Aquaculture","Agriculture","Life Science","Nutritional Science","Veterinary Medicine","Biomedical Science","Biology","Plant Genetics"],"domains":["Animal organ development"],"taxonomies":["Animalia","Cellular organisms","Plantae"],"user_defined_tags":["Applied Forest Research"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Licence Ouverte / Open Licence Version 2.0 compatible CC BY 4.0","licence_id":488,"licence_url":"https://www.etalab.gouv.fr/licence-ouverte-open-licence","link_id":965,"relation":"undefined"}],"grants":[{"id":2993,"fairsharing_record_id":2608,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:26:03.190Z","updated_at":"2021-09-30T09:26:03.190Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBalFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1965ac455b8e43eea728d231f7247e863099d520/DATA%20INRAE%20LOGO%20RVB%204.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2609","type":"fairsharing_records","attributes":{"created_at":"2018-05-21T18:35:48.000Z","updated_at":"2023-06-23T14:53:20.782Z","metadata":{"doi":"10.25504/FAIRsharing.cHo2bh","name":"Citrusgreening.org","status":"ready","contacts":[{"contact_name":"Surya Saha","contact_email":"ss2489@cornell.edu","contact_orcid":"0000-0002-1160-1413"}],"homepage":"https://citrusgreening.org","citations":[],"identifier":2609,"description":"Huanglongbing (HLB) is a tritrophic disease complex involving citrus host trees, the Asian citrus psyllid (ACP) insect and a phloem restricted, bacterial pathogen Candidatus Liberibacter asiaticus (CLas). HLB is considered to be the most devastating of all citrus diseases, and there is currently no adequate control strategy. Citrusgreening.org is a database for host, vector and pathogen involved in citrus greening disease.","abbreviation":"Citrusgreening","data_curation":{"url":"https://citrusgreening.org/annotation/index","type":"manual/automated","notes":"Genomes annotation is organized thanks to bootcamp projects."},"support_links":[{"url":"https://www.facebook.com/citrusgreening","name":"CitrusGreening Facebook page","type":"Facebook"},{"url":"https://citrusgreening.org/contact/form","name":"CitrusGreening Contact Form","type":"Contact form"},{"url":"https://citrusgreening.org/forum/topics.pl","name":"Database Forum","type":"Forum"},{"url":"https://citrusgreening.org/oldnews.pl","name":"News","type":"Help documentation"},{"url":"https://citrusgreening.org/disease/index","name":"About CitrusGreening / Huanglongbing Disease","type":"Help documentation"},{"url":"https://citrusgreening.org/disease/impact","name":"Impact on US Citrus Production","type":"Help documentation"},{"url":"https://citrusgreening.org/disease/researchhighlights/index","name":"Research Highlights","type":"Help documentation"},{"url":"https://citrusgreening.org/oldpublications.pl","name":"All Publications","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Citrus_clementina/genome","name":"Citrus clementina Genome","type":"Help documentation"},{"url":"https://citrusgreening.org/about/index.pl","name":"About","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Diaphorina_citri/genome","name":"Diaphorina citri Genome and Transcriptome","type":"Help documentation"},{"url":"https://citrusgreening.org/annotation/index","name":"Annotation of Psyllid Genome","type":"Help documentation"},{"url":"https://citrusgreening.org/microtomography/index","name":"Imaging (Microtomography)","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Candidatus_Liberibacter_asiaticus_psy62/genome","name":"Candidatus Liberibacter asiaticus psy62 Genome","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Citrus_sinensis/genome","name":"Citrus sinensis Genome","type":"Help documentation"},{"url":"https://twitter.com/CitrusGreening","name":"@CitrusGreening","type":"Twitter"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"http://apollo.sgn.cornell.edu/apollo/529731/jbrowse/index.html","name":"JBrowse"},{"url":"http://pen.sgn.cornell.edu/expression_viewer/input","name":"Expression Viewer"},{"url":"https://citrusgreening.org/tools/blast","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001092","bsg-d001092"],"name":"FAIRsharing record for: Citrusgreening.org","abbreviation":"Citrusgreening","url":"https://fairsharing.org/10.25504/FAIRsharing.cHo2bh","doi":"10.25504/FAIRsharing.cHo2bh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Huanglongbing (HLB) is a tritrophic disease complex involving citrus host trees, the Asian citrus psyllid (ACP) insect and a phloem restricted, bacterial pathogen Candidatus Liberibacter asiaticus (CLas). HLB is considered to be the most devastating of all citrus diseases, and there is currently no adequate control strategy. Citrusgreening.org is a database for host, vector and pathogen involved in citrus greening disease.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15733}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Agriculture","Life Science"],"domains":[],"taxonomies":["Candidatus Liberibacter asiaticus","Citrus","Citrus clementina","Citrus sinensis","Diaphorina citri"],"user_defined_tags":["Plant disease vector","Plant-pathogen interaction"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2994,"fairsharing_record_id":2609,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:03.228Z","updated_at":"2021-09-30T09:26:03.228Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2995,"fairsharing_record_id":2609,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:03.261Z","updated_at":"2021-09-30T09:26:03.261Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2610","type":"fairsharing_records","attributes":{"created_at":"2018-05-23T13:57:33.000Z","updated_at":"2022-07-20T12:08:18.119Z","metadata":{"name":"Common Evidence Model","status":"deprecated","contacts":[{"contact_name":"Richard Boyce","contact_email":"rdb20@pitt.edu","contact_orcid":"0000-0002-2993-2085"}],"homepage":"https://github.com/OHDSI/CommonEvidenceModel","citations":[],"identifier":2610,"description":"The CommonEvidenceModel (CEM) provides an evidence base of a wide variety of sources with information relevant for assessing associations between drugs and health outcomes of interest.","abbreviation":"CEM","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/OHDSI/CommonEvidenceModel/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://forums.ohdsi.org/c/researchers","name":"OHDSI Forums","type":"Help documentation"},{"url":"https://github.com/OHDSI/CommonEvidenceModel/wiki","name":"CEM Wiki","type":"Github"}],"year_creation":2018,"data_versioning":"not found","associated_tools":[{"url":"https://github.com/ohdsi/Atlas","name":"Atlas 2.3"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and the resource developers have confirmed that it has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001093","bsg-d001093"],"name":"FAIRsharing record for: Common Evidence Model","abbreviation":"CEM","url":"https://fairsharing.org/fairsharing_records/2610","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CommonEvidenceModel (CEM) provides an evidence base of a wide variety of sources with information relevant for assessing associations between drugs and health outcomes of interest.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Drug","Adverse Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":2500,"pubmed_id":24985530,"title":"Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest.","year":2014,"url":"http://doi.org/10.1007/s40264-014-0189-0","authors":"Boyce RD,Ryan PB,Noren GN,Schuemie MJ,Reich C,Duke J,Tatonetti NP,Trifiro G,Harpaz R,Overhage JM,Hartzema AG,Khayter M,Voss EA,Lambert CG,Huser V,Dumontier M","journal":"Drug Saf","doi":"10.1007/s40264-014-0189-0","created_at":"2021-09-30T08:27:06.756Z","updated_at":"2021-09-30T08:27:06.756Z"},{"id":2690,"pubmed_id":28270198,"title":"Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data.","year":2017,"url":"http://doi.org/10.1186/s13326-017-0115-3","authors":"Boyce, RD., Voss, E., Huser, V., Evans, L., Reich, C., Duke, JD., Tatonetti, NP., Lorberbaum, T., Dumontier, M., Hauben, M., Wallberg, M., Peng, L., Dempster, S., He, O., Sena, A., Koutkias, V., Natsiavas, P., Ryan, P.","journal":"J Biomed Semantics","doi":"10.1186/s13326-017-0115-3","created_at":"2021-09-30T08:27:30.428Z","updated_at":"2021-09-30T08:27:30.428Z"},{"id":2691,"pubmed_id":27993747,"title":"Accuracy of an automated knowledge base for identifying drug adverse reactions.","year":2016,"url":"http://doi.org/S1532-0464(16)30179-4","authors":"Voss EA,Boyce RD,Ryan PB,van der Lei J,Rijnbeek PR,Schuemie MJ","journal":"J Biomed Inform","doi":"S1532-0464(16)30179-4","created_at":"2021-09-30T08:27:30.538Z","updated_at":"2021-09-30T08:27:30.538Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1672,"relation":"undefined"}],"grants":[{"id":2997,"fairsharing_record_id":2610,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:26:03.354Z","updated_at":"2021-09-30T09:31:51.462Z","grant_id":1358,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"K01AG044433","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2996,"fairsharing_record_id":2610,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:26:03.294Z","updated_at":"2021-09-30T09:32:07.974Z","grant_id":1483,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01LM011838","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2611","type":"fairsharing_records","attributes":{"created_at":"2018-07-02T21:11:53.000Z","updated_at":"2023-12-15T10:31:40.368Z","metadata":{"doi":"10.25504/FAIRsharing.QXSgvF","name":"MirGeneDB.org","status":"ready","contacts":[{"contact_name":"Bastian Fromm","contact_email":"BastianFromm@gmail.com","contact_orcid":"0000-0003-0352-3037"}],"homepage":"http://mirgenedb.org","citations":[{"doi":"10.1146/annurev-genet-120213-092023","pubmed_id":26473382,"publication_id":923}],"identifier":2611,"description":"MirGeneDB is a database of microRNA genes that have been validated and annotated as described in \"A Uniform System for the Annotation of Vertebrate microRNA Genes and the Evolution of the Human microRNAome\".* The initial version contained 1,434 microRNA genes for human, mouse, chicken and zebrafish. Version 2.0 contains more than 10,000 genes from 45 organisms representing nearly every major metazoan group, and these microRNAs can be browsed, searched and downloaded.","abbreviation":"MirGeneDB","data_curation":{"type":"manual","notes":"https://mirgenedb.org/"},"support_links":[{"url":"http://mirgenedb.org/information","name":"miRNA Information","type":"Help documentation"},{"url":"https://twitter.com/MirGeneDB","name":"@MirGeneDB","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001095","bsg-d001095"],"name":"FAIRsharing record for: MirGeneDB.org","abbreviation":"MirGeneDB","url":"https://fairsharing.org/10.25504/FAIRsharing.QXSgvF","doi":"10.25504/FAIRsharing.QXSgvF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MirGeneDB is a database of microRNA genes that have been validated and annotated as described in \"A Uniform System for the Annotation of Vertebrate microRNA Genes and the Evolution of the Human microRNAome\".* The initial version contained 1,434 microRNA genes for human, mouse, chicken and zebrafish. Version 2.0 contains more than 10,000 genes from 45 organisms representing nearly every major metazoan group, and these microRNAs can be browsed, searched and downloaded.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Evolutionary Biology","Life Science"],"domains":["Sequence annotation","Evolution","Micro RNA","Pre-miRNA (pre-microRNA)"],"taxonomies":["Aedes aegypti","Alligator Mississippiensis","Anolis carolinensis","Ascaris suum","Blattella germanica","Bos taurus","Branchiostoma floridae","Caenorhabditis briggsae","Caenorhabditis elegans","Canis familiaris","Capitella teleta","Cavia porcellus","Chrysemys picta belli","Ciona intestinalis","Columba livia","Crassostrea gigas","Danio rerio","Daphnia pulex","Dasypus novemcinctus","Drosophila ananassae","Drosophila melanogaster","Drosophila mojavensis","Echinops telfairi","Eisenia fetida","Gallus gallus","Heliconius melpomene","Homo sapiens","Ixodes scapularis","Lingula anatina","Lottia gigantea","Macaca mulatta","Monodelphis domestica","Mus musculus","Ornithorhynchus anatinus","Oryctolagus cuniculus","Patiria miniata","Ptychodera flava","Rattus norvegicus","Saccoglossus kowalevskii","Sarcophilus harrisii","Scyliorhinus torazame","Strongylocentrotus purpuratus","Taeniopygia guttata","Tribolium castaneum","Xenopus tropicalis"],"user_defined_tags":[],"countries":["Norway","Sweden","United States"],"publications":[{"id":923,"pubmed_id":26473382,"title":"A Uniform System for the Annotation of Vertebrate microRNA Genes and the Evolution of the Human microRNAome.","year":2015,"url":"http://doi.org/10.1146/annurev-genet-120213-092023","authors":"Fromm B,Billipp T,Peck LE,Johansen M,Tarver JE,King BL,Newcomb JM,Sempere LF,Flatmark K,Hovig E,Peterson KJ","journal":"Annu Rev Genet","doi":"10.1146/annurev-genet-120213-092023","created_at":"2021-09-30T08:24:01.913Z","updated_at":"2021-09-30T08:24:01.913Z"},{"id":1168,"pubmed_id":null,"title":"MirGeneDB2.0: the curated microRNA Gene Database (Preprint)","year":2018,"url":"http://doi.org/10.1101/258749","authors":"Bastian Fromm, Diana Domanska, Michael Hackenberg, Anthony Mathelier, Eirik Hoye, Morten Johansen, Eivind Hovig, Kjersti Flatmark, Kevin J Peterson","journal":"BioRxiv","doi":"10.1101/258749","created_at":"2021-09-30T08:24:29.808Z","updated_at":"2021-09-30T11:28:39.794Z"},{"id":3090,"pubmed_id":31598695,"title":"MirGeneDB 2.0: the metazoan microRNA complement.","year":2019,"url":"http://doi.org/10.1093/nar/gkz885","authors":"Fromm B,Domanska D,Hoye E,Ovchinnikov V,Kang W,Aparicio-Puerta E,Johansen M,Flatmark K,Mathelier A,Hovig E,Hackenberg M,Friedlander MR,Peterson KJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz885","created_at":"2021-09-30T08:28:20.707Z","updated_at":"2021-09-30T11:29:51.079Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2602","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:47:57.000Z","updated_at":"2023-03-24T15:19:58.284Z","metadata":{"name":"The National Trauma Research Repository","status":"deprecated","contacts":[{"contact_name":"Michelle Price","contact_email":"ntrr-info@ntrr-nti.org","contact_orcid":"0000-0001-6402-7956"}],"homepage":"https://www.nattrauma.org/research/ntrr/","citations":[],"identifier":2602,"description":"The National Trauma Research Repository (NTRR) is a comprehensive web platform for uploading and managing research datasets to support data sharing among trauma investigators. The Coalition for National Trauma Research (CNTR) is leading this collaborative effort funded by the Department of Defense (DoD) to advance trauma care. Investigators at the National Trauma Institute (NTI), in collaboration with the National Institutes of Health Center for Information Technology and Sapient Government Services, are creating the centralized, cloud-based data repository and discovery portal of trauma research data from numerous studies conducted throughout the United States. The NTRR enables researchers to share data and collaborate on secondary analyses as well as combine and analyze data across studies. The repository is also a resource for researchers in developing data sharing plans to meet new funding and publishing requirements.","abbreviation":"NTRR","data_curation":{"type":"not found"},"support_links":[{"url":"https://ntrr-nti.org/contact","type":"Contact form"},{"url":"https://ntrr-nti.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ntrr-nti.org/training","type":"Training documentation"}],"year_creation":2018,"data_versioning":"not found","deprecation_date":"2023-03-24","deprecation_reason":"This resource has been deprecated because of the ressource homepage message \"The NTRR was built to become a key element of the necessary infrastructure to support national trauma research. Currently, however, it is offline pending additional funding\".","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001085","bsg-d001085"],"name":"FAIRsharing record for: The National Trauma Research Repository","abbreviation":"NTRR","url":"https://fairsharing.org/fairsharing_records/2602","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Trauma Research Repository (NTRR) is a comprehensive web platform for uploading and managing research datasets to support data sharing among trauma investigators. The Coalition for National Trauma Research (CNTR) is leading this collaborative effort funded by the Department of Defense (DoD) to advance trauma care. Investigators at the National Trauma Institute (NTI), in collaboration with the National Institutes of Health Center for Information Technology and Sapient Government Services, are creating the centralized, cloud-based data repository and discovery portal of trauma research data from numerous studies conducted throughout the United States. The NTRR enables researchers to share data and collaborate on secondary analyses as well as combine and analyze data across studies. The repository is also a resource for researchers in developing data sharing plans to meet new funding and publishing requirements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Traumatology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":481,"pubmed_id":27496599,"title":"The National Trauma Research Repository: Ushering in a new era of trauma research","year":2016,"url":"http://doi.org/10.1097/SHK.0000000000000678","authors":"Smith, S. L. Price, M. A. Fabian, T. C. Jurkovich, G. J. Pruitt, B. A., Jr. Stewart, R. M. Jenkins, D. H.","journal":"Shock","doi":"10.1097/SHK.0000000000000678","created_at":"2021-09-30T08:23:12.317Z","updated_at":"2021-09-30T08:23:12.317Z"}],"licence_links":[{"licence_name":"NTRR Policies and Procedures","licence_id":605,"licence_url":"https://ntrr-nti.org/policies-and-procedures","link_id":972,"relation":"undefined"}],"grants":[{"id":2978,"fairsharing_record_id":2602,"organisation_id":3166,"relation":"funds","created_at":"2021-09-30T09:26:02.525Z","updated_at":"2021-09-30T09:30:07.597Z","grant_id":562,"is_lead":false,"saved_state":{"id":3166,"name":"U.S. Department of Defense","grant":"#W81XWH-15.2.0089","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9026,"fairsharing_record_id":2602,"organisation_id":2083,"relation":"funds","created_at":"2022-03-24T14:47:58.521Z","updated_at":"2022-03-24T14:47:58.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2083,"name":"National Trauma Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2977,"fairsharing_record_id":2602,"organisation_id":2083,"relation":"maintains","created_at":"2021-09-30T09:26:02.500Z","updated_at":"2021-09-30T09:26:02.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":2083,"name":"National Trauma Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2604","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T12:28:02.000Z","updated_at":"2022-07-20T11:46:55.225Z","metadata":{"name":"Open Toxicogenomics Project-Genomics Assisted Toxicity Evaluation system","status":"deprecated","contacts":[{"contact_name":"Hiroshi Yamada","contact_email":"h-yamada@nibio.go.jp"}],"homepage":"http://toxico.nibiohn.go.jp/english/","identifier":2604,"description":"Open TG-GATEs is a public toxicogenomics database developed so that a wider community of researchers could utilize the fruits of TGP and TGP2 research. This database provides public access to data on 170 of the compounds catalogued in TG-GATEs. Data searching can be refined using either the name of a compound or the pathological findings by organ as the starting point. Gene expression data linked to phenotype data in pathology findings can also be downloaded as a CEL(*)file.","abbreviation":"Open TG-GATEs","data_curation":{"type":"not found"},"support_links":[{"url":"http://toxico.nibiohn.go.jp/english/news.html","name":"News","type":"Blog/News"},{"url":"opentggates@nibiohn.jp","type":"Support email"},{"url":"http://toxico.nibiohn.go.jp/english/seika.html","name":"List of Toxicogenomics Project Documents","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001087","bsg-d001087"],"name":"FAIRsharing record for: Open Toxicogenomics Project-Genomics Assisted Toxicity Evaluation system","abbreviation":"Open TG-GATEs","url":"https://fairsharing.org/fairsharing_records/2604","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open TG-GATEs is a public toxicogenomics database developed so that a wider community of researchers could utilize the fruits of TGP and TGP2 research. This database provides public access to data on 170 of the compounds catalogued in TG-GATEs. Data searching can be refined using either the name of a compound or the pathological findings by organ as the starting point. Gene expression data linked to phenotype data in pathology findings can also be downloaded as a CEL(*)file.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12804},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16648}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Toxicogenomics","Biomedical Science","Pathology"],"domains":["Expression data","Histology","Liver"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":["Digital pathology"],"countries":["Japan"],"publications":[{"id":2689,"pubmed_id":25313160,"title":"Open TG-GATEs: a large-scale toxicogenomics database.","year":2014,"url":"http://doi.org/10.1093/nar/gku955","authors":"Igarashi Y,Nakatsu N,Yamashita T,Ono A,Ohno Y,Urushidani T,Yamada H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku955","created_at":"2021-09-30T08:27:30.319Z","updated_at":"2021-09-30T11:29:41.370Z"}],"licence_links":[{"licence_name":"Open TG-GATEs Database License","licence_id":633,"licence_url":"http://toxico.nibiohn.go.jp/english/agreement.html","link_id":1671,"relation":"undefined"}],"grants":[{"id":7964,"fairsharing_record_id":2604,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:30:06.985Z","updated_at":"2021-09-30T09:30:07.037Z","grant_id":558,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","grant":"H14-Toxico-001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2980,"fairsharing_record_id":2604,"organisation_id":2032,"relation":"maintains","created_at":"2021-09-30T09:26:02.575Z","updated_at":"2021-09-30T09:26:02.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":2032,"name":"National Institutes of Biomedical Innovation, Health and Nutrition, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2981,"fairsharing_record_id":2604,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:26:02.600Z","updated_at":"2021-09-30T09:29:29.703Z","grant_id":271,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","grant":"H19-Toxico-001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2598","type":"fairsharing_records","attributes":{"created_at":"2018-05-14T12:39:00.000Z","updated_at":"2023-12-15T10:31:29.425Z","metadata":{"doi":"10.25504/FAIRsharing.97kZl6","name":"SalmoBase","status":"ready","contacts":[{"contact_name":"Jeevan Karloss Antony Samy","contact_email":"jeevan.karloss@nmbu.no","contact_orcid":"0000-0002-8428-1481"}],"homepage":"http://salmobase.org","identifier":2598,"description":"SalmoBase is an integrated molecular resource for Salmonid species which includes visualizations and analytic tools. The genome of the Atlantic salmon (Salmo salar) has undergone extensive restructuring since a whole genome duplication event ~80 million years ago, which creates opportunities to explore the evolutionary process of rediploidization. A public genome assembly is available and ordered into 29 chromosome files. SalmoBase includes a GBrowse interface for exploring the chromosome sequence as well as BLAST functionality and links to expression levels, gene and SNP information. Using public RNAseq data 37,000 high confidence protein coding genes have been identified, wherein almost half show splice variants.","abbreviation":"SalmoBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://salmobase.org/contact.php","name":"Contact Form","type":"Contact form"},{"url":"http://salmobase.org/newsletter.php","name":"Release Updates","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","associated_tools":[{"url":"http://salmobase.org/gbr.html","name":"GBrowse"},{"url":"http://salmobase.org/JBrowse-1.12.3/index.html","name":"JBrowse"},{"url":"http://salmobase.org/blast.html?DB=ASB_BLAST","name":"BLAST"},{"url":"http://salmobase.org/snp.php","name":"GVBrowser (Genetic Variation)"},{"url":"http://salmobase.org/geb.php","name":"GEBrowser (Gene Expression)"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001081","bsg-d001081"],"name":"FAIRsharing record for: SalmoBase","abbreviation":"SalmoBase","url":"https://fairsharing.org/10.25504/FAIRsharing.97kZl6","doi":"10.25504/FAIRsharing.97kZl6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SalmoBase is an integrated molecular resource for Salmonid species which includes visualizations and analytic tools. The genome of the Atlantic salmon (Salmo salar) has undergone extensive restructuring since a whole genome duplication event ~80 million years ago, which creates opportunities to explore the evolutionary process of rediploidization. A public genome assembly is available and ordered into 29 chromosome files. SalmoBase includes a GBrowse interface for exploring the chromosome sequence as well as BLAST functionality and links to expression levels, gene and SNP information. Using public RNAseq data 37,000 high confidence protein coding genes have been identified, wherein almost half show splice variants.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Fisheries Science","Life Science"],"domains":["Gene expression","RNA sequencing","Single nucleotide polymorphism"],"taxonomies":["Oncorhynchus kisutch","Oncorhynchus mykiss","Salmo salar","Salvelinus alpinus"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":2279,"pubmed_id":28651544,"title":"SalmoBase: an integrated molecular data resource for Salmonid species.","year":2017,"url":"http://doi.org/10.1186/s12864-017-3877-1","authors":"Samy JKA,Mulugeta TD,Nome T,Sandve SR,Grammes F,Kent MP,Lien S,Vage DI","journal":"BMC Genomics","doi":"10.1186/s12864-017-3877-1","created_at":"2021-09-30T08:26:37.631Z","updated_at":"2021-09-30T08:26:37.631Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":518,"relation":"undefined"}],"grants":[{"id":2973,"fairsharing_record_id":2598,"organisation_id":846,"relation":"funds","created_at":"2021-09-30T09:26:02.400Z","updated_at":"2021-09-30T09:26:02.400Z","grant_id":null,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2972,"fairsharing_record_id":2598,"organisation_id":464,"relation":"maintains","created_at":"2021-09-30T09:26:02.374Z","updated_at":"2021-09-30T09:26:02.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":464,"name":"Centre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Norway","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2605","type":"fairsharing_records","attributes":{"created_at":"2018-05-15T15:53:32.000Z","updated_at":"2023-12-15T10:28:14.905Z","metadata":{"doi":"10.25504/FAIRsharing.6L6MjA","name":"cBioPortal for Cancer Genomics","status":"ready","contacts":[{"contact_name":"cBioPortal for Cancer Genomics Discussion Group","contact_email":"cbioportal@googlegroups.com"}],"homepage":"http://www.cbioportal.org","citations":[{"doi":"10.1158/2159-8290.CD-12-0095","pubmed_id":22588877,"publication_id":2215}],"identifier":2605,"description":"The cBioPortal for Cancer Genomics provides visualization, analysis and download of large-scale cancer genomics data sets.","abbreviation":"cBioPortal","data_curation":{"url":"https://docs.cbioportal.org/user-guide/faq/#what-is-the-process-of-data-curation","type":"manual/automated"},"support_links":[{"url":"http://www.cbioportal.org/news.jsp","name":"cBioPortal News","type":"Blog/News"},{"url":"http://www.cbioportal.org/faq.jsp","name":"cBioPortal FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://thehyve.nl","name":"Commercial support for cBioPortal","type":"Help documentation"},{"url":"cbioportal@googlegroups.com","name":"cBioPortal for Cancer Genomics Discussion Group","type":"Mailing list"},{"url":"https://github.com/cBioPortal/cbioportal","name":"GitHub Repository","type":"Github"},{"url":"http://www.cbioportal.org/tutorial.jsp","name":"cBioPortal tutorials","type":"Training documentation"},{"url":"https://twitter.com/cbioportal","name":"@cbioportal","type":"Twitter"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/cBioPortal/cbioportal/tree/master/core/src/main/scripts/importer","name":"cBioPortal Importer"},{"url":"http://www.cbioportal.org/oncoprinter.jsp","name":"OncoPrinter"},{"url":"http://www.cbioportal.org/mutation_mapper.jsp","name":"MutationMapper"}],"data_access_condition":{"url":"https://docs.cbioportal.org/user-guide/faq/#what-is-the-cbioportal-for-cancer-genomics","type":"open","notes":"Open-access, open-source resource"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001088","bsg-d001088"],"name":"FAIRsharing record for: cBioPortal for Cancer Genomics","abbreviation":"cBioPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.6L6MjA","doi":"10.25504/FAIRsharing.6L6MjA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The cBioPortal for Cancer Genomics provides visualization, analysis and download of large-scale cancer genomics data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Proteomics","Biomedical Science","Preclinical Studies"],"domains":["Cancer","Copy number variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":144,"pubmed_id":23550210,"title":"Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.","year":2013,"url":"http://doi.org/10.1126/scisignal.2004088","authors":"Gao J,Aksoy BA,Dogrusoz U,Dresdner G,Gross B,Sumer SO,Sun Y,Jacobsen A,Sinha R,Larsson E,Cerami E,Sander C,Schultz N","journal":"Sci Signal","doi":"10.1126/scisignal.2004088","created_at":"2021-09-30T08:22:35.715Z","updated_at":"2021-09-30T08:22:35.715Z"},{"id":2215,"pubmed_id":22588877,"title":"The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.","year":2012,"url":"http://doi.org/10.1158/2159-8290.CD-12-0095","authors":"Cerami E,Gao J,Dogrusoz U,Gross BE,Sumer SO,Aksoy BA,Jacobsen A,Byrne CJ,Heuer ML,Larsson E,Antipin Y,Reva B,Goldberg AP,Sander C,Schultz N","journal":"Cancer Discov","doi":"10.1158/2159-8290.CD-12-0095","created_at":"2021-09-30T08:26:29.649Z","updated_at":"2021-09-30T08:26:29.649Z"}],"licence_links":[{"licence_name":"cBioPortal GNU Affero General Public License","licence_id":105,"licence_url":"https://raw.githubusercontent.com/cBioPortal/cbioportal/master/LICENSE","link_id":569,"relation":"undefined"},{"licence_name":"GNU Affero General Public License","licence_id":352,"licence_url":"http://www.gnu.org/licenses/agpl-3.0.html","link_id":563,"relation":"undefined"}],"grants":[{"id":2982,"fairsharing_record_id":2605,"organisation_id":2356,"relation":"maintains","created_at":"2021-09-30T09:26:02.624Z","updated_at":"2021-09-30T09:26:02.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":2356,"name":"Princess Margaret Cancer Centre, Toronto, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2986,"fairsharing_record_id":2605,"organisation_id":578,"relation":"maintains","created_at":"2021-09-30T09:26:02.957Z","updated_at":"2021-09-30T09:26:02.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":578,"name":"Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2983,"fairsharing_record_id":2605,"organisation_id":506,"relation":"maintains","created_at":"2021-09-30T09:26:02.651Z","updated_at":"2021-09-30T09:26:02.651Z","grant_id":null,"is_lead":false,"saved_state":{"id":506,"name":"Children's Hospital of Philadelphia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2984,"fairsharing_record_id":2605,"organisation_id":2786,"relation":"maintains","created_at":"2021-09-30T09:26:02.842Z","updated_at":"2021-09-30T09:26:02.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":2786,"name":"The Hyve","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2985,"fairsharing_record_id":2605,"organisation_id":385,"relation":"maintains","created_at":"2021-09-30T09:26:02.899Z","updated_at":"2021-09-30T09:26:02.899Z","grant_id":null,"is_lead":false,"saved_state":{"id":385,"name":"cBio Center at the Dana-Farber Cancer Institute and at Harvard Medical School, Boston, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2607","type":"fairsharing_records","attributes":{"created_at":"2018-05-02T13:55:53.000Z","updated_at":"2023-12-15T10:31:08.190Z","metadata":{"doi":"10.25504/FAIRsharing.i1F3Hb","name":"Small angle scattering biological data bank","status":"ready","contacts":[{"contact_name":"Al Kikhney","contact_email":"a.kikhney@embl-hamburg.de","contact_orcid":"0000-0003-1321-3956"},{"contact_name":"General Contact","contact_email":"info@sasbdb.org","contact_orcid":null}],"homepage":"https://www.sasbdb.org/","citations":[],"identifier":2607,"description":"Curated repository for small angle scattering data and models. SASBDB contains X-ray (SAXS) and neutron (SANS) scattering data from biological macromolecules in solution.","abbreviation":"SASBDB","data_curation":{"url":"https://www.sasbdb.org/","type":"manual","notes":"SASBDB is a fully searchable curated repository of freely accessible and downloadable experimental data"},"support_links":[{"url":"https://www.saxier.org/forum/","name":"Small angle scattering Forum","type":"Forum"},{"url":"https://www.sasbdb.org/help/","name":"SASDB Help","type":"Help documentation"},{"url":"https://www.sasbdb.org/aboutSASBDB/","name":"About SASDB","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012273","name":"re3data:r3d100012273","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.sasbdb.org/login/","type":"open","notes":"Registration required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001090","bsg-d001090"],"name":"FAIRsharing record for: Small angle scattering biological data bank","abbreviation":"SASBDB","url":"https://fairsharing.org/10.25504/FAIRsharing.i1F3Hb","doi":"10.25504/FAIRsharing.i1F3Hb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Curated repository for small angle scattering data and models. SASBDB contains X-ray (SAXS) and neutron (SANS) scattering data from biological macromolecules in solution.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12805}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Molecular biology","Life Science"],"domains":["Protein structure"],"taxonomies":["All"],"user_defined_tags":["SAXS","Small angle scattering"],"countries":["Germany"],"publications":[{"id":2116,"pubmed_id":25352555,"title":"SASBDB, a repository for biological small-angle scattering data","year":2014,"url":"http://doi.org/10.1093/nar/gku1047","authors":"Valentini E, Kikhney AG, Previtali G, Jeffries CM, Svergun DI","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1047","created_at":"2021-09-30T08:26:18.580Z","updated_at":"2021-09-30T08:26:18.580Z"},{"id":3997,"pubmed_id":null,"title":"SASBDB: Towards an automatically curated and validated repository for biological scattering data","year":2019,"url":"http://dx.doi.org/10.1002/pro.3731","authors":"Kikhney, Alexey G.; Borges, Clemente R.; Molodenskiy, Dmitry S.; Jeffries, Cy M.; Svergun, Dmitri I.; ","journal":"Protein Science","doi":"10.1002/pro.3731","created_at":"2023-09-25T14:48:19.253Z","updated_at":"2023-09-25T14:48:19.253Z"}],"licence_links":[{"licence_name":"SASDB: Attribution Only","licence_id":1076,"licence_url":"https://www.sasbdb.org/aboutSASBDB/","link_id":3344,"relation":"applies_to_content"}],"grants":[{"id":2992,"fairsharing_record_id":2607,"organisation_id":852,"relation":"maintains","created_at":"2021-09-30T09:26:03.159Z","updated_at":"2023-09-25T14:52:11.958Z","grant_id":null,"is_lead":true,"saved_state":{"id":852,"name":"Biological Small Angle Scattering Group, EMBL Hamburg","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdm9DIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--67619a25f4a4894e34d1b15ebf269e185ecfbc02/sasbdb-logo.png?disposition=inline","exhaustive_licences":true}},{"id":"2624","type":"fairsharing_records","attributes":{"created_at":"2018-07-24T09:24:29.000Z","updated_at":"2022-01-27T15:46:03.163Z","metadata":{"name":"BarleyBase","status":"deprecated","contacts":[{"contact_name":"Julie Dickerson","contact_email":"julied@iastate.edu"}],"homepage":"http://barleybase.org","citations":[],"identifier":2624,"description":"BarleyBase is a public data resource of Affymetrix GeneChip data for plants.","abbreviation":"BarleyBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.plexdb.org/modules/PD_general/feedback.php","type":"Contact form"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2022-01-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001111","bsg-d001111"],"name":"FAIRsharing record for: BarleyBase","abbreviation":"BarleyBase","url":"https://fairsharing.org/fairsharing_records/2624","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BarleyBase is a public data resource of Affymetrix GeneChip data for plants.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Chromatin immunoprecipitation - DNA microarray","DNA microarray"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2223,"pubmed_id":15608273,"title":"BarleyBase--an expression profiling database for plant genomics.","year":2004,"url":"http://doi.org/10.1093/nar/gki123","authors":"Shen L,Gong J,Caldo RA,Nettleton D,Cook D,Wise RP,Dickerson JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki123","created_at":"2021-09-30T08:26:30.496Z","updated_at":"2021-09-30T11:29:31.236Z"}],"licence_links":[],"grants":[{"id":3040,"fairsharing_record_id":2624,"organisation_id":1545,"relation":"funds","created_at":"2021-09-30T09:26:04.828Z","updated_at":"2021-09-30T09:26:04.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3038,"fairsharing_record_id":2624,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:04.757Z","updated_at":"2021-09-30T09:26:04.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3039,"fairsharing_record_id":2624,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:04.795Z","updated_at":"2021-09-30T09:26:04.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2077","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:21:32.482Z","metadata":{"doi":"10.25504/FAIRsharing.s1ne3g","name":"UniProt Knowledgebase","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"help@uniprot.org"}],"homepage":"https://www.uniprot.org","citations":[{"doi":"10.1093/nar/gkac1052","pubmed_id":null,"publication_id":3990}],"identifier":2077,"description":"The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The UniProt Knowledgebase consists of two sections: a reviewed section containing manually-annotated records with information extracted from literature and curator-evaluated computational analysis (aka \"UniProtKB/Swiss-Prot\"), and an unreviewed section with computationally analyzed records that await full manual annotation (aka \"UniProtKB/TrEMBL\").","abbreviation":"UniProtKB","data_curation":{"url":"https://www.uniprot.org/help/biocuration","type":"manual/automated","notes":"Curation is performed by expert biologists using a range of tools that have been iteratively developed in close collaboration with curators."},"support_links":[{"url":"https://www.uniprot.org/contact","name":"Contact","type":"Contact form"},{"url":"https://tess.elixir-europe.org/materials/a-critical-guide-to-uniprotkb","name":"A Critical Guide to UniProtKB","type":"TeSS links to training materials"},{"url":"https://www.youtube.com/channel/UCkCR5RJZCZZoVTQzTYY92aw","name":"Youtube channel","type":"Video"},{"url":"https://twitter.com/uniprot","name":"@uniprot","type":"Twitter"},{"url":"https://www.uniprot.org/help","name":"Help Pages","type":"Help documentation"},{"url":"https://www.uniprot.org/help?facets=category%3Afaq\u0026query=*","name":"All FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.uniprot.org/uniprotkb/statistics","name":"UniProtKB Statistics","type":"Other"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011521","name":"re3data:r3d100011521","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004426","name":"SciCrunch:RRID:SCR_004426","portal":"SciCrunch"},{"url":"http://purl.obolibrary.org/obo/MI_1097","name":"Molecular Interactions","portal":"BioPortal"}],"data_access_condition":{"url":"https://www.uniprot.org/help/disease_query","type":"open"},"resource_sustainability":{"url":"https://www.uniprot.org/help/about","name":"Funding and past funding"},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.uniprot.org/help/about","name":"The UniProt consortium and host institutions EMBL-EBI, SIB and PIR are committed to the long-term preservation of the UniProt databases."},"data_deposition_condition":{"url":"https://www.uniprot.org/help/submissions","type":"open","notes":"Submissions and updates"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000544","bsg-d000544"],"name":"FAIRsharing record for: UniProt Knowledgebase","abbreviation":"UniProtKB","url":"https://fairsharing.org/10.25504/FAIRsharing.s1ne3g","doi":"10.25504/FAIRsharing.s1ne3g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The UniProt Knowledgebase consists of two sections: a reviewed section containing manually-annotated records with information extracted from literature and curator-evaluated computational analysis (aka \"UniProtKB/Swiss-Prot\"), and an unreviewed section with computationally analyzed records that await full manual annotation (aka \"UniProtKB/TrEMBL\").","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17057},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10797},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10965},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11097},{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11215},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11355},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11532},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11846},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12318},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12687},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15063},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16183}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Functional Genomics","Life Science"],"domains":["Molecular structure","Sequence similarity","Expression data","Annotation","Sequence annotation","Gene functional annotation","Function analysis","Proteome","Cellular component","Binding motif","Structure","Protein","Amino acid sequence","Literature curation","Biocuration"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Switzerland","United Kingdom","United States"],"publications":[{"id":249,"pubmed_id":23161681,"title":"Update on activities at the Universal Protein Resource (UniProt) in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1068","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1068","created_at":"2021-09-30T08:22:46.912Z","updated_at":"2021-09-30T11:28:44.409Z"},{"id":638,"pubmed_id":25348405,"title":"UniProt: a hub for protein information","year":2014,"url":"http://doi.org/10.1093/nar/gku989","authors":"The UniProt Consortium","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku989","created_at":"2021-09-30T08:23:30.235Z","updated_at":"2021-09-30T08:23:30.235Z"},{"id":946,"pubmed_id":18287689,"title":"UniProtKB/Swiss-Prot.","year":2008,"url":"http://doi.org/10.1007/978-1-59745-535-0_4","authors":"Boutet E,Lieberherr D,Tognolli M,Schneider M,Bairoch A","journal":"Methods Mol Biol","doi":"10.1007/978-1-59745-535-0_4","created_at":"2021-09-30T08:24:04.678Z","updated_at":"2021-09-30T08:24:04.678Z"},{"id":1023,"pubmed_id":29425356,"title":"UniProt: the universal protein knowledgebase.","year":2018,"url":"http://doi.org/10.1093/nar/gky092","authors":"UniProt Consortium T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky092","created_at":"2021-09-30T08:24:13.286Z","updated_at":"2021-09-30T11:28:56.900Z"},{"id":1031,"pubmed_id":27899622,"title":"UniProt: the universal protein knowledgebase.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1099","authors":"The UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1099","created_at":"2021-09-30T08:24:14.170Z","updated_at":"2021-09-30T11:28:57.092Z"},{"id":1226,"pubmed_id":21447597,"title":"UniProt Knowledgebase: a hub of integrated protein data.","year":2011,"url":"http://doi.org/10.1093/database/bar009","authors":"Magrane M","journal":"Database (Oxford)","doi":"10.1093/database/bar009","created_at":"2021-09-30T08:24:36.707Z","updated_at":"2021-09-30T08:24:36.707Z"},{"id":1269,"pubmed_id":19843607,"title":"The Universal Protein Resource (UniProt) in 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp846","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp846","created_at":"2021-09-30T08:24:41.648Z","updated_at":"2021-09-30T11:29:04.767Z"},{"id":1462,"pubmed_id":16381842,"title":"The Universal Protein Resource (UniProt): an expanding universe of protein information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj161","authors":"Wu CH,Apweiler R,Bairoch A,Natale DA,Barker WC,Boeckmann B,Ferro S,Gasteiger E,Huang H,Lopez R,Magrane M,Martin MJ,Mazumder R,O'Donovan C,Redaschi N,Suzek B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj161","created_at":"2021-09-30T08:25:03.374Z","updated_at":"2021-09-30T11:29:09.085Z"},{"id":1469,"pubmed_id":30395287,"title":"UniProt: a worldwide hub of protein knowledge.","year":2018,"url":"http://doi.org/10.1093/nar/gky1049","authors":"https://academic.oup.com/nar/article/47/D1/D506/5160987","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1049","created_at":"2021-09-30T08:25:04.466Z","updated_at":"2021-09-30T11:29:09.451Z"},{"id":1470,"pubmed_id":27010333,"title":"UniProt Tools.","year":2016,"url":"http://doi.org/10.1002/0471250953.bi0129s53","authors":"Pundir S,Martin MJ,O'Donovan C","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0129s53","created_at":"2021-09-30T08:25:04.568Z","updated_at":"2021-09-30T08:25:04.568Z"},{"id":1471,"pubmed_id":24253303,"title":"Activities at the Universal Protein Resource (UniProt).","year":2013,"url":"http://doi.org/10.1093/nar/gkt1140","authors":"The UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1140","created_at":"2021-09-30T08:25:04.683Z","updated_at":"2021-09-30T11:29:09.543Z"},{"id":1472,"pubmed_id":22123736,"title":"The UniProt-GO Annotation database in 2011.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1048","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1048","created_at":"2021-09-30T08:25:04.782Z","updated_at":"2021-09-30T11:29:09.684Z"},{"id":1473,"pubmed_id":18836194,"title":"The Universal Protein Resource (UniProt) 2009.","year":2008,"url":"http://doi.org/10.1093/nar/gkn664","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn664","created_at":"2021-09-30T08:25:04.882Z","updated_at":"2021-09-30T11:29:09.776Z"},{"id":1474,"pubmed_id":18045787,"title":"The universal protein resource (UniProt).","year":2007,"url":"http://doi.org/10.1093/nar/gkm895","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm895","created_at":"2021-09-30T08:25:04.982Z","updated_at":"2021-09-30T11:29:09.911Z"},{"id":1644,"pubmed_id":15044231,"title":"UniProt archive.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth191","authors":"Leinonen R,Diez FG,Binns D,Fleischmann W,Lopez R,Apweiler R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth191","created_at":"2021-09-30T08:25:24.119Z","updated_at":"2021-09-30T08:25:24.119Z"},{"id":1989,"pubmed_id":15608167,"title":"The Universal Protein Resource (UniProt).","year":2004,"url":"http://doi.org/10.1093/nar/gki070","authors":"Bairoch A,Apweiler R,Wu CH,Barker WC,Boeckmann B,Ferro S,Gasteiger E,Huang H,Lopez R,Magrane M,Martin MJ,Natale DA,O'Donovan C,Redaschi N,Yeh LS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki070","created_at":"2021-09-30T08:26:03.897Z","updated_at":"2021-09-30T11:29:25.210Z"},{"id":2193,"pubmed_id":9181472,"title":"The SWISS-PROT protein sequence database: its relevance to human molecular medical research.","year":1997,"url":"https://www.ncbi.nlm.nih.gov/pubmed/9181472","authors":"Bairoch A,Apweiler R","journal":"J Mol Med (Berl)","doi":null,"created_at":"2021-09-30T08:26:27.175Z","updated_at":"2021-09-30T08:26:27.175Z"},{"id":3728,"pubmed_id":null,"title":"UniProt: the universal protein knowledgebase in 2021","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa1100","authors":"The UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1100","created_at":"2022-12-06T11:19:27.478Z","updated_at":"2022-12-06T11:19:27.478Z"},{"id":3990,"pubmed_id":null,"title":"UniProt: the Universal Protein Knowledgebase in 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1052","authors":"undefined, undefined; Bateman, Alex; Martin, Maria-Jesus; Orchard, Sandra; Magrane, Michele; Ahmad, Shadab; Alpi, Emanuele; Bowler-Barnett, Emily H; Britto, Ramona; Bye-A-Jee, Hema; Cukura, Austra; Denny, Paul; Dogan, Tunca; Ebenezer, ThankGod; Fan, Jun; Garmiri, Penelope; da Costa Gonzales, Leonardo Jose; Hatton-Ellis, Emma; Hussein, Abdulrahman; Ignatchenko, Alexandr; Insana, Giuseppe; Ishtiaq, Rizwan; Joshi, Vishal; Jyothi, Dushyanth; Kandasaamy, Swaathi; Lock, Antonia; Luciani, Aurelien; Lugaric, Marija; Luo, Jie; Lussi, Yvonne; MacDougall, Alistair; Madeira, Fabio; Mahmoudy, Mahdi; Mishra, Alok; Moulang, Katie; Nightingale, Andrew; Pundir, Sangya; Qi, Guoying; Raj, Shriya; Raposo, Pedro; Rice, Daniel L; Saidi, Rabie; Santos, Rafael; Speretta, Elena; Stephenson, James; Totoo, Prabhat; Turner, Edward; Tyagi, Nidhi; Vasudev, Preethi; Warner, Kate; Watkins, Xavier; Zaru, Rossana; Zellner, Hermann; Bridge, Alan J; Aimo, Lucila; Argoud-Puy, Ghislaine; Auchincloss, Andrea H; Axelsen, Kristian B; Bansal, Parit; Baratin, Delphine; Batista Neto, Teresa M; Blatter, Marie-Claude; Bolleman, Jerven T; Boutet, Emmanuel; Breuza, Lionel; Gil, Blanca Cabrera; Casals-Casas, Cristina; Echioukh, Kamal Chikh; Coudert, Elisabeth; Cuche, Beatrice; de Castro, Edouard; Estreicher, Anne; Famiglietti, Maria L; Feuermann, Marc; Gasteiger, Elisabeth; Gaudet, Pascale; Gehant, Sebastien; Gerritsen, Vivienne; Gos, Arnaud; Gruaz, Nadine; Hulo, Chantal; Hyka-Nouspikel, Nevila; Jungo, Florence; Kerhornou, Arnaud; Le Mercier, Philippe; Lieberherr, Damien; Masson, Patrick; Morgat, Anne; Muthukrishnan, Venkatesh; Paesano, Salvo; Pedruzzi, Ivo; Pilbout, Sandrine; Pourcel, Lucille; Poux, Sylvain; Pozzato, Monica; Pruess, Manuela; Redaschi, Nicole; Rivoire, Catherine; Sigrist, Christian J A; Sonesson, Karin; Sundaram, Shyamala; Wu, Cathy H; Arighi, Cecilia N; Arminski, Leslie; Chen, Chuming; Chen, Yongxing; Huang, Hongzhan; Laiho, Kati; McGarvey, Peter; Natale, Darren A; Ross, Karen; Vinayaka, C R; Wang, Qinghua; Wang, Yuqi; Zhang, Jian; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1052","created_at":"2023-09-14T12:33:38.053Z","updated_at":"2023-09-14T12:33:38.053Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":54,"relation":"undefined"}],"grants":[{"id":1584,"fairsharing_record_id":2077,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:12.548Z","updated_at":"2021-09-30T09:29:44.785Z","grant_id":383,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-1062520","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1586,"fairsharing_record_id":2077,"organisation_id":2290,"relation":"funds","created_at":"2021-09-30T09:25:12.682Z","updated_at":"2021-09-30T09:30:28.238Z","grant_id":725,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK","grant":"G-1307","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7947,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:00.284Z","updated_at":"2021-09-30T09:30:00.320Z","grant_id":508,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"G08LM010720","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8340,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:10.343Z","updated_at":"2021-09-30T09:32:10.397Z","grant_id":1500,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"U41HG007822","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1583,"fairsharing_record_id":2077,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:12.506Z","updated_at":"2021-09-30T09:25:12.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1588,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:12.756Z","updated_at":"2021-09-30T09:29:29.375Z","grant_id":268,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R01GM080646","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1585,"fairsharing_record_id":2077,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:25:12.589Z","updated_at":"2021-09-30T09:31:41.528Z","grant_id":1285,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","grant":"RG/13/5/30112","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7965,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:07.143Z","updated_at":"2021-09-30T09:30:07.183Z","grant_id":559,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"U41HG02273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8173,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:19.740Z","updated_at":"2021-09-30T09:31:19.787Z","grant_id":1121,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"P20GM103446","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1582,"fairsharing_record_id":2077,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:25:12.464Z","updated_at":"2023-09-14T12:33:57.580Z","grant_id":null,"is_lead":true,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9419,"fairsharing_record_id":2077,"organisation_id":2635,"relation":"funds","created_at":"2022-04-11T12:07:37.038Z","updated_at":"2022-04-11T12:07:37.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"2078","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:31.038Z","metadata":{"doi":"10.25504/FAIRsharing.3axym7","name":"Germplasm Resources Information Network","status":"ready","contacts":[{"contact_email":"dbmu@ars-grin.gov"}],"homepage":"https://www.ars-grin.gov/","identifier":2078,"description":"GRIN provides National Genetic Resources Program (NGRP) personnel and germplasm users continuous access to databases for the maintenance of passport, characterization, evaluation, inventory, and distribution data important for the effective management and utilization of national germplasm collections.","abbreviation":"GRIN","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ars-grin.gov/Pages/Collections","name":"About Collections","type":"Help documentation"}],"year_creation":2010,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000546","bsg-d000546"],"name":"FAIRsharing record for: Germplasm Resources Information Network","abbreviation":"GRIN","url":"https://fairsharing.org/10.25504/FAIRsharing.3axym7","doi":"10.25504/FAIRsharing.3axym7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GRIN provides National Genetic Resources Program (NGRP) personnel and germplasm users continuous access to databases for the maintenance of passport, characterization, evaluation, inventory, and distribution data important for the effective management and utilization of national germplasm collections.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15728}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Cell","Cell culture","Germplasm"],"taxonomies":["Bacteria","Metazoa","Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1589,"fairsharing_record_id":2078,"organisation_id":2939,"relation":"maintains","created_at":"2021-09-30T09:25:12.795Z","updated_at":"2021-09-30T09:25:12.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2079","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T07:55:04.768Z","metadata":{"doi":"10.25504/FAIRsharing.rbjs3e","name":"Compulyeast","status":"deprecated","contacts":[{"contact_email":"vital@farm.ucm.es"}],"homepage":"http://compluyeast2dpage.dacya.ucm.es","citations":[],"identifier":2079,"description":"Compluyeast-2D-DB is a two-dimensional polyacrylamide gel electrophoresis federated database. This collection references a subset of Uniprot, and contains general information about the protein record.","abbreviation":"Compulyeast","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://compluyeast2dpage.dacya.ucm.es/cgi-bin/2d/2d.cgi","name":"search"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000547","bsg-d000547"],"name":"FAIRsharing record for: Compulyeast","abbreviation":"Compulyeast","url":"https://fairsharing.org/10.25504/FAIRsharing.rbjs3e","doi":"10.25504/FAIRsharing.rbjs3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Compluyeast-2D-DB is a two-dimensional polyacrylamide gel electrophoresis federated database. This collection references a subset of Uniprot, and contains general information about the protein record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Protein"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1901,"relation":"undefined"}],"grants":[{"id":1590,"fairsharing_record_id":2079,"organisation_id":2963,"relation":"maintains","created_at":"2021-09-30T09:25:12.827Z","updated_at":"2021-09-30T09:25:12.827Z","grant_id":null,"is_lead":false,"saved_state":{"id":2963,"name":"Universidad Complutense Madrid","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2072","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:40.055Z","metadata":{"doi":"10.25504/FAIRsharing.zcn4w4","name":"TreeBase","status":"ready","contacts":[{"contact_name":"Rutger Vos","contact_email":"rutger.vos@naturalis.nl"}],"homepage":"https://www.treebase.org","citations":[],"identifier":2072,"description":"TreeBASE is a repository of phylogenetic information, specifically user-submitted phylogenetic trees and the data used to generate them. TreeBASE accepts all types of phylogenetic data (e.g., trees of species, trees of populations, trees of genes) representing all biotic taxa. TreeBASE is temporarily offline except to provide access to editors/curators, as security updates are required before re-publishing the site.","abbreviation":"TreeBase","data_curation":{"url":"https://www.treebase.org/treebase-web/submitTutorial.html","type":"automated","notes":"TreeBASE uses Mesquite to parse incoming dat"},"support_links":[{"url":"help@treebase.org","name":"General Contact","type":"Support email"},{"url":"https://github.com/TreeBASE/treebase/issues","name":"GitHub Issues","type":"Github"},{"url":"https://en.wikipedia.org/wiki/TreeBASE","name":"Wikipedia","type":"Wikipedia"},{"url":"https://sourceforge.net/p/treebase/mailman/attachment/7D0BFEBA-1F7E-4F7A-A0EE-5949564900C6@yale.edu/1/","name":"TreeBASE v2: A Database of Phylogenetic Knowledge","type":"Help documentation"},{"url":"http://treebase.org/treebase-web/technology.html","name":"TreeBASE Infrastructure","type":"Help documentation"},{"url":"http://phylodiversity.net/donoghue/publications/MJD_papers/2002/124_Piel_Shimura02.pdf","name":"TreeBASE: A database of phylogenetic information.","type":"Help documentation"},{"url":"http://treebase.org/treebase-web/submitTutorial.html","name":"Submission Documentation","type":"Training documentation"},{"url":"https://twitter.com/treebase","name":"@treebase","type":"Twitter"}],"year_creation":1994,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010170","name":"re3data:r3d100010170","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005688","name":"SciCrunch:RRID:SCR_005688","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.treebase.org/treebase-web/dataMan.html","name":"Data Persistence"},"data_deposition_condition":{"url":"https://www.treebase.org/treebase-web/submitTutorial.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000539","bsg-d000539"],"name":"FAIRsharing record for: TreeBase","abbreviation":"TreeBase","url":"https://fairsharing.org/10.25504/FAIRsharing.zcn4w4","doi":"10.25504/FAIRsharing.zcn4w4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TreeBASE is a repository of phylogenetic information, specifically user-submitted phylogenetic trees and the data used to generate them. TreeBASE accepts all types of phylogenetic data (e.g., trees of species, trees of populations, trees of genes) representing all biotic taxa. TreeBASE is temporarily offline except to provide access to editors/curators, as security updates are required before re-publishing the site.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10964}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Phylogenetics","Phylogenomics"],"domains":["Taxonomic classification","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands","United States"],"publications":[{"id":1468,"pubmed_id":19426482,"title":"Improved data retrieval from TreeBASE via taxonomic and linguistic data enrichment.","year":2009,"url":"http://doi.org/10.1186/1471-2148-9-93","authors":"Anwar N., Hunt E.,","journal":"BMC Evol. Biol.","doi":"10.1186/1471-2148-9-93","created_at":"2021-09-30T08:25:04.360Z","updated_at":"2021-09-30T08:25:04.360Z"}],"licence_links":[],"grants":[{"id":1572,"fairsharing_record_id":2072,"organisation_id":2094,"relation":"maintains","created_at":"2021-09-30T09:25:12.014Z","updated_at":"2021-09-30T09:25:12.014Z","grant_id":null,"is_lead":true,"saved_state":{"id":2094,"name":"Naturalis Biodiversity Center","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1574,"fairsharing_record_id":2072,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:12.097Z","updated_at":"2021-09-30T09:25:12.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1573,"fairsharing_record_id":2072,"organisation_id":628,"relation":"funds","created_at":"2021-09-30T09:25:12.056Z","updated_at":"2021-09-30T09:30:59.082Z","grant_id":964,"is_lead":false,"saved_state":{"id":628,"name":"Cyberinfrastructure for Phylogenetic Research","grant":"NSF EF 0331654","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2073","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:56.313Z","metadata":{"doi":"10.25504/FAIRsharing.da6cny","name":"ExplorEnz","status":"ready","contacts":[{"contact_name":"Andrew G. McDonald","contact_email":"amcdonld@tcd.ie","contact_orcid":"0000-0003-2727-176X"}],"homepage":"http://www.enzyme-database.org","identifier":2073,"description":"The Enzyme Database was developed as a new way to access the data of the IUBMB Enzyme Nomenclature List. The data, which are stored in a MySQL database, preserve the formatting of chemical names according to IUPAC standards.","abbreviation":"ExplorEnz","data_curation":{"url":"https://www.enzyme-database.org/about.php","type":"manual"},"support_links":[{"url":"http://www.enzyme-database.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.enzyme-database.org/quickstart.php","type":"Help documentation"},{"url":"http://www.enzyme-database.org/nomenclature.php","type":"Help documentation"},{"url":"http://www.enzyme-database.org/advice.php","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.enzyme-database.org/newform.php","type":"controlled","notes":"New enzymes undergo a two-month public-review process before being incorporated into the official Enzyme List."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000540","bsg-d000540"],"name":"FAIRsharing record for: ExplorEnz","abbreviation":"ExplorEnz","url":"https://fairsharing.org/10.25504/FAIRsharing.da6cny","doi":"10.25504/FAIRsharing.da6cny","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Enzyme Database was developed as a new way to access the data of the IUBMB Enzyme Nomenclature List. The data, which are stored in a MySQL database, preserve the formatting of chemical names according to IUPAC standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Ireland","Worldwide"],"publications":[{"id":1083,"pubmed_id":18776214,"title":"ExplorEnz: the primary source of the IUBMB enzyme list.","year":2008,"url":"http://doi.org/10.1093/nar/gkn582","authors":"McDonald AG., Boyce S., Tipton KF.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn582","created_at":"2021-09-30T08:24:19.998Z","updated_at":"2021-09-30T08:24:19.998Z"}],"licence_links":[{"licence_name":"ExplorEnz Attribution required","licence_id":306,"licence_url":"https://www.enzyme-database.org/","link_id":987,"relation":"undefined"}],"grants":[{"id":1575,"fairsharing_record_id":2073,"organisation_id":2874,"relation":"maintains","created_at":"2021-09-30T09:25:12.191Z","updated_at":"2021-09-30T09:25:12.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":2874,"name":"Trinity College Dublin, Ireland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2074","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:34.976Z","metadata":{"doi":"10.25504/FAIRsharing.9s300d","name":"Type 1 Diabetes Database","status":"deprecated","contacts":[{"contact_name":"John Todd","contact_email":"john.todd@cimr.cam.ac.uk","contact_orcid":"0000-0003-2740-8148"}],"homepage":"http://t1dbase.org/","identifier":2074,"description":"T1DBase focuses on two research areas in type 1 diabetes (T1D): the genetics of T1D susceptibility and beta cell biology.","abbreviation":"T1DBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.t1dbase.org/page/ContactFormPopup/display/","type":"Contact form"},{"url":"t1dbase-feedback@cimr.cam.ac.uk","type":"Support email"},{"url":"http://www.t1dbase.org/page/FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.t1dbase.org/page/WebsiteTutorial","type":"Training documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://www.t1dbase.org/page/AtlasHome","name":"Beta Cell Gene Atlas Home"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000541","bsg-d000541"],"name":"FAIRsharing record for: Type 1 Diabetes Database","abbreviation":"T1DBase","url":"https://fairsharing.org/10.25504/FAIRsharing.9s300d","doi":"10.25504/FAIRsharing.9s300d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: T1DBase focuses on two research areas in type 1 diabetes (T1D): the genetics of T1D susceptibility and beta cell biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Biomedical Science"],"domains":["Disease","Gene","Diabetes mellitus"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":517,"pubmed_id":20937630,"title":"T1DBase: update 2011, organization and presentation of large-scale data sets for type 1 diabetes research.","year":2010,"url":"http://doi.org/10.1093/nar/gkq912","authors":"Burren OS., Adlem EC., Achuthan P., Christensen M., Coulson RM., Todd JA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq912","created_at":"2021-09-30T08:23:16.417Z","updated_at":"2021-09-30T08:23:16.417Z"},{"id":1501,"pubmed_id":15608258,"title":"T1DBase, a community web-based resource for type 1 diabetes research.","year":2004,"url":"http://doi.org/10.1093/nar/gki095","authors":"Smink LJ,Helton EM,Healy BC,Cavnor CC,Lam AC,Flamez D,Burren OS,Wang Y,Dolman GE,Burdick DB,Everett VH,Glusman G,Laneri D,Rowen L,Schuilenburg H,Walker NM,Mychaleckyj J,Wicker LS,Eizirik DL,Todd JA,Goodman N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki095","created_at":"2021-09-30T08:25:08.065Z","updated_at":"2021-09-30T11:29:11.368Z"},{"id":1502,"pubmed_id":17169983,"title":"T1DBase: integration and presentation of complex data for type 1 diabetes research.","year":2006,"url":"http://doi.org/10.1093/nar/gkl933","authors":"Hulbert EM,Smink LJ,Adlem EC,Allen JE,Burdick DB,Burren OS,Cassen VM,Cavnor CC,Dolman GE,Flamez D,Friery KF,Healy BC,Killcoyne SA,Kutlu B,Schuilenburg H,Walker NM,Mychaleckyj J,Eizirik DL,Wicker LS,Todd JA,Goodman N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl933","created_at":"2021-09-30T08:25:08.165Z","updated_at":"2021-09-30T11:29:11.459Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":717,"relation":"undefined"}],"grants":[{"id":1576,"fairsharing_record_id":2074,"organisation_id":2880,"relation":"maintains","created_at":"2021-09-30T09:25:12.227Z","updated_at":"2021-09-30T09:25:12.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":2880,"name":"Type 1 Diabetes Genetics Consortium","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2075","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:12:37.394Z","metadata":{"doi":"10.25504/FAIRsharing.zf8s5t","name":"The Signaling Gateway","status":"deprecated","contacts":[{"contact_name":"Shankar Subramaniam","contact_email":"shankar@sdsc.edu"},{"contact_name":"General Contact","contact_email":"webmaster@signaling-gateway.org","contact_orcid":null}],"homepage":"http://www.signaling-gateway.org","citations":[],"identifier":2075,"description":"The UCSD Signaling Gateway Molecule Pages provides information on the proteins involved in cell signaling. This database combines expert authored reviews with curated, highly-structured data (e.g. protein interactions) and automatic annotation from publicly available data sources (e.g. UniProt and Genbank). ","abbreviation":null,"data_curation":{"url":"http://www.signaling-gateway.org/molecule/jsp/molpage/aboutus.jsp","type":"manual/automated"},"support_links":[],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011690","name":"re3data:r3d100011690","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006907","name":"SciCrunch:RRID:SCR_006907","portal":"SciCrunch"}],"deprecation_date":"2022-06-13","deprecation_reason":"This resource's homepage is not available, and we have not been able to get in touch with the developers. Please let us know if you have information regarding this resource.","data_access_condition":{"url":"http://www.signaling-gateway.org/molecule/jsp/molpage/aboutus.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000542","bsg-d000542"],"name":"FAIRsharing record for: The Signaling Gateway","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zf8s5t","doi":"10.25504/FAIRsharing.zf8s5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UCSD Signaling Gateway Molecule Pages provides information on the proteins involved in cell signaling. This database combines expert authored reviews with curated, highly-structured data (e.g. protein interactions) and automatic annotation from publicly available data sources (e.g. UniProt and Genbank). ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cell Biology"],"domains":["Signaling","Molecular interaction","Small molecule","Protein"],"taxonomies":["Bos taurus","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":512,"pubmed_id":17965093,"title":"The Molecule Pages database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm907","authors":"Saunders B., Lyon S., Day M., Riley B., Chenette E., Subramaniam S., Vadivelu I.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm907","created_at":"2021-09-30T08:23:15.883Z","updated_at":"2021-09-30T08:23:15.883Z"},{"id":1495,"pubmed_id":21505029,"title":"Signaling gateway molecule pages--a data model perspective.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr190","authors":"Dinasarapu AR., Saunders B., Ozerlat I., Azam K., Subramaniam S.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr190","created_at":"2021-09-30T08:25:07.470Z","updated_at":"2021-09-30T08:25:07.470Z"}],"licence_links":[],"grants":[{"id":1577,"fairsharing_record_id":2075,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:12.264Z","updated_at":"2021-09-30T09:32:10.113Z","grant_id":1498,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM078005-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1579,"fairsharing_record_id":2075,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:25:12.348Z","updated_at":"2022-01-11T13:51:35.252Z","grant_id":null,"is_lead":true,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2076","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:31.961Z","metadata":{"doi":"10.25504/FAIRsharing.kz6vpp","name":"Domain mapping of disease mutations","status":"deprecated","contacts":[{"contact_name":"Maricel Kann","contact_email":"DMDM_info@umbc.edu"}],"homepage":"http://bioinf.umbc.edu/dmdm/","identifier":2076,"description":"Domain mapping of disease mutations (DMDM) is a database in which each disease mutation can be displayed by its gene, protein or domain location.","abbreviation":"DMDM","data_curation":{"type":"not found"},"year_creation":2009,"data_versioning":"not found","deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000543","bsg-d000543"],"name":"FAIRsharing record for: Domain mapping of disease mutations","abbreviation":"DMDM","url":"https://fairsharing.org/10.25504/FAIRsharing.kz6vpp","doi":"10.25504/FAIRsharing.kz6vpp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Domain mapping of disease mutations (DMDM) is a database in which each disease mutation can be displayed by its gene, protein or domain location.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12686}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Hidden Markov model","Protein domain","Mutation analysis","Disease","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":522,"pubmed_id":20685956,"title":"DMDM: domain mapping of disease mutations.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq447","authors":"Peterson TA., Adadey A., Santana-Cruz I., Sun Y., Winder A., Kann MG.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq447","created_at":"2021-09-30T08:23:16.959Z","updated_at":"2021-09-30T08:23:16.959Z"}],"licence_links":[{"licence_name":"DMDM Attribution required","licence_id":248,"licence_url":"http://bioinf.umbc.edu/dmdm/","link_id":679,"relation":"undefined"}],"grants":[{"id":1580,"fairsharing_record_id":2076,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:25:12.388Z","updated_at":"2021-09-30T09:25:12.388Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1581,"fairsharing_record_id":2076,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:12.427Z","updated_at":"2021-09-30T09:30:03.038Z","grant_id":530,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1K22CA143148","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8074,"fairsharing_record_id":2076,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:47.196Z","updated_at":"2021-09-30T09:30:47.245Z","grant_id":870,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01LM009722","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2053","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:01.019Z","metadata":{"doi":"10.25504/FAIRsharing.rb2drw","name":"InnateDB","status":"ready","contacts":[{"contact_name":"David Lynn","contact_email":"David.Lynn@sahmri.com"}],"homepage":"http://www.innatedb.com/","citations":[],"identifier":2053,"description":"InnateDB has been developed to facilitate systems level investigations of the mammalian (human, mouse and bovine) innate immune response. Its goal is to provide a manually-curated knowledgebase of the genes, proteins, and particularly, the interactions and signaling responses involved in mammalian innate immunity. InnateDB incorporates information of the whole human, mouse and bovine interactomes by integrating interaction and pathway information from several of the major publicly available databases but aims to capture an improved coverage of the innate immunity interactome through manual curation.","abbreviation":"InnateDB","data_curation":{"url":"http://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"manual"},"support_links":[{"url":"https://www.innatedb.com/news.jsp","name":"News","type":"Blog/News"},{"url":"innatedb-mail@sfu.ca","type":"Support email"},{"url":"http://www.innatedb.com/redirect.do?go=helpfaq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.innatedb.com/redirect.do?go=helpgeneral","type":"Help documentation"},{"url":"https://twitter.com/innatedb","type":"Twitter"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://www.innatedb.com/redirect.do?go=batchPw","name":"analyze"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010676","name":"re3data:r3d100010676","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006714","name":"SciCrunch:RRID:SCR_006714","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000520","bsg-d000520"],"name":"FAIRsharing record for: InnateDB","abbreviation":"InnateDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rb2drw","doi":"10.25504/FAIRsharing.rb2drw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InnateDB has been developed to facilitate systems level investigations of the mammalian (human, mouse and bovine) innate immune response. Its goal is to provide a manually-curated knowledgebase of the genes, proteins, and particularly, the interactions and signaling responses involved in mammalian innate immunity. InnateDB incorporates information of the whole human, mouse and bovine interactomes by integrating interaction and pathway information from several of the major publicly available databases but aims to capture an improved coverage of the innate immunity interactome through manual curation.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11214},{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11248}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunology","Life Science"],"domains":["Protein interaction","Interactome","Molecular interaction","Immunity","Curated information","Protein","Pathway model"],"taxonomies":["Bos taurus","Homo sapiens","Mammalia","Mus musculus"],"user_defined_tags":[],"countries":["Australia","Canada","Ireland"],"publications":[{"id":596,"pubmed_id":23180781,"title":"InnateDB: systems biology of innate immunity and beyond--recent updates and continuing curation.","year":2012,"url":"http://doi.org/10.1093/nar/gks1147","authors":"Breuer K., Foroushani AK., Laird MR., Chen C., Sribnaia A., Lo R., Winsor GL., Hancock RE., Brinkman FS., Lynn DJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1147","created_at":"2021-09-30T08:23:25.387Z","updated_at":"2021-09-30T08:23:25.387Z"}],"licence_links":[{"licence_name":"InnateDB attribution required","licence_id":442,"licence_url":"https://www.innatedb.com/","link_id":1193,"relation":"undefined"}],"grants":[{"id":1518,"fairsharing_record_id":2053,"organisation_id":1737,"relation":"maintains","created_at":"2021-09-30T09:25:09.815Z","updated_at":"2021-09-30T09:25:09.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":1737,"name":"Lynn Group, EMBL Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1521,"fairsharing_record_id":2053,"organisation_id":1044,"relation":"funds","created_at":"2021-09-30T09:25:09.940Z","updated_at":"2021-09-30T09:25:09.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1044,"name":"Foundation for the National Institutes of Health (FNIH), Bethesda, MD, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1519,"fairsharing_record_id":2053,"organisation_id":1018,"relation":"maintains","created_at":"2021-09-30T09:25:09.839Z","updated_at":"2021-09-30T09:25:09.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1018,"name":"Fiona Brinkman Laboratory, Simon Fraser University, Greater Vancouver, BC, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1524,"fairsharing_record_id":2053,"organisation_id":940,"relation":"funds","created_at":"2021-09-30T09:25:10.015Z","updated_at":"2021-09-30T09:25:10.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":940,"name":"European Molecular Biology Laboratory, Australia","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1525,"fairsharing_record_id":2053,"organisation_id":1209,"relation":"maintains","created_at":"2021-09-30T09:25:10.046Z","updated_at":"2021-09-30T09:25:10.046Z","grant_id":null,"is_lead":false,"saved_state":{"id":1209,"name":"Hancock Laboratory, University of British Columbia, Vancouver, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1520,"fairsharing_record_id":2053,"organisation_id":61,"relation":"funds","created_at":"2021-09-30T09:25:09.864Z","updated_at":"2021-09-30T09:28:59.252Z","grant_id":43,"is_lead":false,"saved_state":{"id":61,"name":"Allergan","grant":"12ASI1","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":8065,"fairsharing_record_id":2053,"organisation_id":61,"relation":"funds","created_at":"2021-09-30T09:30:44.570Z","updated_at":"2021-09-30T09:30:44.620Z","grant_id":848,"is_lead":false,"saved_state":{"id":61,"name":"Allergan","grant":"12B\u0026B2","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":11523,"fairsharing_record_id":2053,"organisation_id":1316,"relation":"undefined","created_at":"2024-03-21T13:58:00.692Z","updated_at":"2024-03-21T13:58:00.692Z","grant_id":null,"is_lead":false,"saved_state":{"id":1316,"name":"IMex Consortium","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":9179,"fairsharing_record_id":2053,"organisation_id":359,"relation":"funds","created_at":"2022-04-11T12:07:19.829Z","updated_at":"2022-04-11T12:07:19.850Z","grant_id":1506,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","grant":"419","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2054","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:46.226Z","metadata":{"doi":"10.25504/FAIRsharing.65dmtr","name":"EcoCyc E. coli Database","status":"ready","contacts":[{"contact_name":"BioCyc Support","contact_email":"biocyc-support@ai.sri.com"}],"homepage":"https://ecocyc.org/","citations":[],"identifier":2054,"description":"EcoCyc is a model organism database for Escherichia coli K-12 MG1655. EcoCyc curation captures literature-based information on the functions of individual E. coli gene products, metabolic pathways, and regulation of E. coli gene expression. EcoCyc has been curated from 42,000 publications as of 2022. Updates to EcoCyc content continue to improve its comprehensive picture of E. coli biology. The utility of EcoCyc is enhanced by new tools available on the EcoCyc web site, and the development of EcoCyc as a teaching tool is increasing the impact of the knowledge collected in EcoCyc.","abbreviation":"EcoCyc","data_curation":{"url":"https://ecocyc.org/PToolsWebsiteHowto.shtml","type":"manual/automated"},"support_links":[{"url":"https://ecocyc.org/PToolsWebsiteHowto.shtml","name":"EcoCyc User Guide","type":"Help documentation"}],"data_versioning":"no","associated_tools":[{"url":"https://ecocyc.org/ECOLI/blast.html","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011277","name":"re3data:r3d100011277","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002433","name":"SciCrunch:RRID:SCR_002433","portal":"SciCrunch"}],"data_access_condition":{"url":"https://ecocyc.org/intro.shtml","type":"open","notes":"The EcoCyc and MetaCyc databases are freely available to all users because their curation is supported by NIH funding. The other BioCyc databases are available via subscription, which supports their curation"},"resource_sustainability":{"url":"https://ecocyc.org/funding.shtml","name":"BioCyc Funding Sources"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ecocyc.org/intro.shtml","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000521","bsg-d000521"],"name":"FAIRsharing record for: EcoCyc E. coli Database","abbreviation":"EcoCyc","url":"https://fairsharing.org/10.25504/FAIRsharing.65dmtr","doi":"10.25504/FAIRsharing.65dmtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EcoCyc is a model organism database for Escherichia coli K-12 MG1655. EcoCyc curation captures literature-based information on the functions of individual E. coli gene products, metabolic pathways, and regulation of E. coli gene expression. EcoCyc has been curated from 42,000 publications as of 2022. Updates to EcoCyc content continue to improve its comprehensive picture of E. coli biology. The utility of EcoCyc is enhanced by new tools available on the EcoCyc web site, and the development of EcoCyc as a teaching tool is increasing the impact of the knowledge collected in EcoCyc.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16206}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Gene expression","Regulation of gene expression","Regulation of post-translational protein modification","Publication","Molecular interaction","Enzyme","Protein","Pathway model","Genome"],"taxonomies":["Escherichia coli"],"user_defined_tags":["Allosteric regulation"],"countries":["United States"],"publications":[{"id":2137,"pubmed_id":23143106,"title":"EcoCyc: fusing model organism databases with systems biology.","year":2012,"url":"http://doi.org/10.1093/nar/gks1027","authors":"Keseler IM., Mackie A., Peralta-Gil M. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1027","created_at":"2021-09-30T08:26:20.933Z","updated_at":"2021-09-30T08:26:20.933Z"},{"id":2180,"pubmed_id":27899573,"title":"The EcoCyc database: reflecting new knowledge about Escherichia coli K-12.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1003","authors":"Keseler IM,Mackie A,Santos-Zavaleta A et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1003","created_at":"2021-09-30T08:26:25.789Z","updated_at":"2021-09-30T11:29:30.703Z"},{"id":2590,"pubmed_id":26442933,"title":"The EcoCyc Database.","year":2014,"url":"http://doi.org/10.1128/ecosalplus.ESP-0009-2013","authors":"Karp PD,Weaver D,Paley S et al.","journal":"EcoSal Plus","doi":"10.1128/ecosalplus.ESP-0009-2013","created_at":"2021-09-30T08:27:17.817Z","updated_at":"2021-09-30T08:27:17.817Z"},{"id":3485,"pubmed_id":34394059,"title":"The EcoCyc Database in 2021.","year":2021,"url":"https://doi.org/10.3389/fmicb.2021.711077","authors":"Keseler IM, Gama-Castro S, Mackie A, Billington R, Bonavides-Martínez C, Caspi R, Kothari A, Krummenacker M, Midford PE, Muñiz-Rascado L, Ong WK, Paley S, Santos-Zavaleta A, Subhraveti P, Tierrafría VH, Wolfe AJ, Collado-Vides J, Paulsen IT, Karp PD","journal":"Frontiers in microbiology","doi":"10.3389/fmicb.2021.711077","created_at":"2022-07-21T15:54:00.716Z","updated_at":"2022-07-21T15:54:00.716Z"}],"licence_links":[{"licence_name":"BioCyc Database License","licence_id":78,"licence_url":"https://biocyc.org/download-flatfiles.shtml","link_id":1445,"relation":"undefined"}],"grants":[{"id":1526,"fairsharing_record_id":2054,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:25:10.085Z","updated_at":"2021-09-30T09:25:10.085Z","grant_id":null,"is_lead":true,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbHdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--be0e7de8ba48d4b5f360325b3438c44eee65d3a9/ecocyc.png?disposition=inline","exhaustive_licences":false}},{"id":"2055","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-10T11:50:56.396Z","metadata":{"doi":"10.25504/FAIRsharing.zaa7w","name":"HumanCyc","status":"ready","contacts":[{"contact_name":"Peter Karp","contact_email":"pkarp@ai.sri.com","contact_orcid":"0000-0002-5876-6418"}],"homepage":"https://www.humancyc.org/","citations":[],"identifier":2055,"description":"HumanCyc is a bioinformatics database that describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iubmb/enzyme/","name":"Recommendations of the Nomenclature Committee of the IUBMB","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Enzyme_Commission_number","name":"EC Number","type":"Wikipedia"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"https://humancyc.org/HUMAN/blast.html?refdb=ALL","name":"BLAST HumanCyc"},{"url":"https://bioinformatics.ai.sri.com/ptools/ptools-features.shtml","name":"Pathway Tools"},{"url":"https://humancyc.org/metabolite-translation-service.shtml","name":"Metabolite Translation Service"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011286","name":"re3data:r3d100011286","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007050","name":"SciCrunch:RRID:SCR_007050","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://biocyc.org/PToolsWebsiteHowto.shtml?sid=biocyc15-3898332490#TAG:__tex2page_sec_4","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000522","bsg-d000522"],"name":"FAIRsharing record for: HumanCyc","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zaa7w","doi":"10.25504/FAIRsharing.zaa7w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HumanCyc is a bioinformatics database that describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Endocrinology","Genomics","Proteomics","Life Science","Metabolomics","Systems Biology"],"domains":["Reaction data","Omics data analysis","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":499,"pubmed_id":15642094,"title":"Computational prediction of human metabolic pathways from the complete human genome.","year":2005,"url":"http://doi.org/10.1186/gb-2004-6-1-r2","authors":"Romero P., Wagg J., Green ML., Kaiser D., Krummenacker M., Karp PD.,","journal":"Genome Biol.","doi":"10.1186/gb-2004-6-1-r2","created_at":"2021-09-30T08:23:14.201Z","updated_at":"2021-09-30T08:23:14.201Z"},{"id":4314,"pubmed_id":null,"title":"The BioCyc collection of microbial genomes and metabolic pathways","year":2017,"url":"http://dx.doi.org/10.1093/bib/bbx085","authors":"Karp, Peter D; Billington, Richard; Caspi, Ron; Fulcher, Carol A; Latendresse, Mario; Kothari, Anamika; Keseler, Ingrid M; Krummenacker, Markus; Midford, Peter E; Ong, Quang; Ong, Wai Kit; Paley, Suzanne M; Subhraveti, Pallavi; ","journal":"Briefings in Bioinformatics","doi":"10.1093/bib/bbx085","created_at":"2024-07-10T11:48:20.725Z","updated_at":"2024-07-10T11:48:20.725Z"}],"licence_links":[{"licence_name":"BioCyc Individual Subscription Licence Terms","licence_id":1113,"licence_url":"https://biocyc.org/subscription-terms.txt","link_id":3683,"relation":"applies_to_content"}],"grants":[{"id":1529,"fairsharing_record_id":2055,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:25:10.196Z","updated_at":"2021-09-30T09:25:10.196Z","grant_id":null,"is_lead":true,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1527,"fairsharing_record_id":2055,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:10.117Z","updated_at":"2021-09-30T09:29:15.029Z","grant_id":158,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01-GM65466-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1530,"fairsharing_record_id":2055,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.239Z","updated_at":"2021-09-30T09:32:23.971Z","grant_id":1602,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-HG02729-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9396,"fairsharing_record_id":2055,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.577Z","updated_at":"2022-04-11T12:07:35.593Z","grant_id":518,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-FG03-01ER63219","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2051","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:34.574Z","metadata":{"doi":"10.25504/FAIRsharing.z1czxj","name":"PeroxiBase","status":"ready","contacts":[{"contact_name":"Christophe Dunand","contact_email":"dunand@lrsv.ups-tlse.fr","contact_orcid":"0000-0003-1637-4042"}],"homepage":"http://peroxibase.toulouse.inra.fr/","citations":[],"identifier":2051,"description":"Peroxibase provides access to peroxidase sequences from all kingdoms of life, and provides a series of bioinformatics tools and facilities suitable for analysing these sequences.","abbreviation":"PeroxiBase","data_curation":{"url":"http://peroxibase.toulouse.inra.fr/infos/annotations.php","type":"automated"},"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://peroxibase.toulouse.inra.fr/tools/blast.php","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000518","bsg-d000518"],"name":"FAIRsharing record for: PeroxiBase","abbreviation":"PeroxiBase","url":"https://fairsharing.org/10.25504/FAIRsharing.z1czxj","doi":"10.25504/FAIRsharing.z1czxj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Peroxibase provides access to peroxidase sequences from all kingdoms of life, and provides a series of bioinformatics tools and facilities suitable for analysing these sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence annotation","Biological regulation","Enzyme","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":92,"pubmed_id":23180785,"title":"PeroxiBase: a database for large-scale evolutionary analysis of peroxidases.","year":2012,"url":"http://doi.org/10.1093/nar/gks1083","authors":"Fawal N., Li Q., Savelli B., Brette M., Passaia G., Fabre M., Mathé C., Dunand C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1083","created_at":"2021-09-30T08:22:30.463Z","updated_at":"2021-09-30T08:22:30.463Z"},{"id":863,"pubmed_id":19112168,"title":"PeroxiBase: a powerful tool to collect and analyse peroxidase sequences from Viridiplantae.","year":2008,"url":"http://doi.org/10.1093/jxb/ern317","authors":"Oliva M., Theiler G., Zamocky M., Koua D., Margis-Pinheiro M., Passardi F., Dunand C.,","journal":"J. Exp. Bot.","doi":"10.1093/jxb/ern317","created_at":"2021-09-30T08:23:55.338Z","updated_at":"2021-09-30T08:23:55.338Z"}],"licence_links":[{"licence_name":"PeroxiBase Attribution required","licence_id":657,"licence_url":"https://peroxibase.toulouse.inra.fr/infos/publications","link_id":988,"relation":"undefined"}],"grants":[{"id":1515,"fairsharing_record_id":2051,"organisation_id":1665,"relation":"funds","created_at":"2021-09-30T09:25:09.725Z","updated_at":"2021-09-30T09:25:09.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":1665,"name":"Laboratoire de Recherche en Sciences Vegetales (LRSV), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":1514,"fairsharing_record_id":2051,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:25:09.687Z","updated_at":"2021-09-30T09:25:09.687Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1516,"fairsharing_record_id":2051,"organisation_id":1120,"relation":"funds","created_at":"2021-09-30T09:25:09.762Z","updated_at":"2021-09-30T09:25:09.762Z","grant_id":null,"is_lead":false,"saved_state":{"id":1120,"name":"GenoToul Bioinformatics, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2083","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:44.864Z","metadata":{"doi":"10.25504/FAIRsharing.kexkq9","name":"CarpeDB","status":"ready","contacts":[{"contact_name":"Bryan Herren","contact_email":"carpedb@bama.ua.edu"}],"homepage":"http://www.carpedb.ua.edu","identifier":2083,"description":"CarpeDB serves as a novel source for epilepsy researchers by featuring scores of \"epilepsy genes\" and associated publications in one locus. Furthermore, multiple genes implicated in epilepsy are also implicated in other human disorders.","abbreviation":"CarpeDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://carpedb.ua.edu/searchinstruct.cfm","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"http://carpedb.ua.edu/","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000551","bsg-d000551"],"name":"FAIRsharing record for: CarpeDB","abbreviation":"CarpeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.kexkq9","doi":"10.25504/FAIRsharing.kexkq9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CarpeDB serves as a novel source for epilepsy researchers by featuring scores of \"epilepsy genes\" and associated publications in one locus. Furthermore, multiple genes implicated in epilepsy are also implicated in other human disorders.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Epilepsy","Publication","Disorder","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":722,"relation":"undefined"}],"grants":[{"id":1603,"fairsharing_record_id":2083,"organisation_id":3010,"relation":"maintains","created_at":"2021-09-30T09:25:13.350Z","updated_at":"2021-09-30T09:25:13.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":3010,"name":"University of Alabama, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2081","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T15:45:53.077Z","metadata":{"doi":"10.25504/FAIRsharing.5tfcy8","name":"A CLAssification of Mobile genetic Elements","status":"deprecated","contacts":[{"contact_email":"raphael@bigre.ulb.ac.be"}],"homepage":"http://aclame.ulb.ac.be/","citations":[],"identifier":2081,"description":"ACLAME is a database dedicated to the collection and classification of mobile genetic elements (MGEs) from various sources, comprising all known phage genomes, plasmids and transposons.","abbreviation":"ACLAME","data_curation":{"type":"not found"},"support_links":[{"url":"http://aclame.ulb.ac.be/Classification/description.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://aclame.ulb.ac.be/perl/Aclame/show_cluster.cgi?mode=list","name":"browse"},{"url":"http://aclame.ulb.ac.be/Tools/blast.html","name":"BLAST"},{"url":"http://aclame.ulb.ac.be/Tools/Prophinder/","name":"Prophinder"}],"deprecation_date":"2023-03-20","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000549","bsg-d000549"],"name":"FAIRsharing record for: A CLAssification of Mobile genetic Elements","abbreviation":"ACLAME","url":"https://fairsharing.org/10.25504/FAIRsharing.5tfcy8","doi":"10.25504/FAIRsharing.5tfcy8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ACLAME is a database dedicated to the collection and classification of mobile genetic elements (MGEs) from various sources, comprising all known phage genomes, plasmids and transposons.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene","Genome"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1371,"pubmed_id":14681355,"title":"ACLAME: a CLAssification of Mobile genetic Elements.","year":2003,"url":"http://doi.org/10.1093/nar/gkh084","authors":"Leplae R., Hebrant A., Wodak SJ., Toussaint A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh084","created_at":"2021-09-30T08:24:53.350Z","updated_at":"2021-09-30T08:24:53.350Z"},{"id":1373,"pubmed_id":19933762,"title":"ACLAME: a CLAssification of Mobile genetic Elements, update 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp938","authors":"Leplae R., Lima-Mendez G., Toussaint A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp938","created_at":"2021-09-30T08:24:53.576Z","updated_at":"2021-09-30T08:24:53.576Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":720,"relation":"undefined"}],"grants":[{"id":1593,"fairsharing_record_id":2081,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:12.944Z","updated_at":"2021-09-30T09:25:12.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1594,"fairsharing_record_id":2081,"organisation_id":1031,"relation":"funds","created_at":"2021-09-30T09:25:12.981Z","updated_at":"2021-09-30T09:25:12.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":1031,"name":"Fonds De La Recherche Scientifique (FNRS), France","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1596,"fairsharing_record_id":2081,"organisation_id":2993,"relation":"maintains","created_at":"2021-09-30T09:25:13.052Z","updated_at":"2021-09-30T09:25:13.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2993,"name":"Universite Libre de Bruxelles","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1595,"fairsharing_record_id":2081,"organisation_id":957,"relation":"funds","created_at":"2021-09-30T09:25:13.019Z","updated_at":"2021-09-30T09:32:22.388Z","grant_id":1589,"is_lead":false,"saved_state":{"id":957,"name":"European Space Agency","grant":"C90254","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2084","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:15.286Z","metadata":{"doi":"10.25504/FAIRsharing.sye5js","name":"The Human Metabolome Database","status":"ready","contacts":[{"contact_email":"david.wishart@ualberta.ca"}],"homepage":"https://hmdb.ca/","citations":[],"identifier":2084,"description":"The Human Metabolome Database (HMDB) is a freely available electronic database containing detailed information about small molecule metabolites found in the human body. It is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. The database is designed to contain or link three kinds of data: 1) chemical data, 2) clinical data, and 3) molecular biology/biochemistry data. The database contains 220,945 metabolite entries including both water-soluble and lipid soluble metabolites. Additionally, 8,610 protein sequences (enzymes and transporters) are linked to these metabolite entries. Each MetaboCard entry contains 130 data fields with 2/3 of the information being devoted to chemical/clinical data and the other 1/3 devoted to enzymatic or biochemical data. Many data fields are hyperlinked to other databases (KEGG, PubChem, MetaCyc, ChEBI, PDB, UniProt, and GenBank) and a variety of structure and pathway viewing applets. The HMDB database supports extensive text, sequence, chemical structure, MS and NMR spectral query searches. Four additional databases, DrugBank, T3DB, SMPDB and FooDB are also part of the HMDB suite of databases. \n","abbreviation":"HMDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hmdb.ca/about","type":"Help documentation"},{"url":"https://twitter.com/WishartLab","type":"Twitter"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://www.hmdb.ca/textquery","name":"search"},{"url":"http://www.hmdb.ca/advanced_search","name":"advanced search"},{"url":"http://www.hmdb.ca/seqsearch","name":"BLAST"},{"url":"http://www.hmdb.ca/spectra/ms/search","name":"spectral search"},{"url":"http://www.hmdb.ca/chemquery","name":"chemical search"},{"url":"http://www.hmdb.ca/metabolites","name":"browse"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011285","name":"re3data:r3d100011285","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013647","name":"SciCrunch:RRID:SCR_013647","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000552","bsg-d000552"],"name":"FAIRsharing record for: The Human Metabolome Database","abbreviation":"HMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.sye5js","doi":"10.25504/FAIRsharing.sye5js","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Metabolome Database (HMDB) is a freely available electronic database containing detailed information about small molecule metabolites found in the human body. It is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. The database is designed to contain or link three kinds of data: 1) chemical data, 2) clinical data, and 3) molecular biology/biochemistry data. The database contains 220,945 metabolite entries including both water-soluble and lipid soluble metabolites. Additionally, 8,610 protein sequences (enzymes and transporters) are linked to these metabolite entries. Each MetaboCard entry contains 130 data fields with 2/3 of the information being devoted to chemical/clinical data and the other 1/3 devoted to enzymatic or biochemical data. Many data fields are hyperlinked to other databases (KEGG, PubChem, MetaCyc, ChEBI, PDB, UniProt, and GenBank) and a variety of structure and pathway viewing applets. The HMDB database supports extensive text, sequence, chemical structure, MS and NMR spectral query searches. Four additional databases, DrugBank, T3DB, SMPDB and FooDB are also part of the HMDB suite of databases. \n","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11044},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11777}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Biochemistry","Bioinformatics","Proteomics","Life Science","Metabolomics","Phenomics","Omics"],"domains":["Lipid","Molecular entity","Chemical entity","Metabolite","Small molecule"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":532,"pubmed_id":23161693,"title":"HMDB 3.0--The Human Metabolome Database in 2013","year":2012,"url":"http://doi.org/10.1093/nar/gks1065","authors":"David S Wishart, Timothy Jewison, An Chi Guo, Michael Wilson, Craig Knox, Yifeng Liu, Yannick Djoumbou, Rupasri Mandal, Farid Aziat, Edison Dong, Souhaila Bouatra, Igor Sinelnikov, David Arndt, Jianguo Xia, Philip Liu, Faizath Yallou, Trent Bjorndahl, Rolando Perez-Pineiro, Roman Eisner, Felicity Allen, Vanessa Neveu, Russ Greiner, Augustin Scalbert","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1065","created_at":"2021-09-30T08:23:18.134Z","updated_at":"2022-08-29T17:37:04.248Z"},{"id":2370,"pubmed_id":17202168,"title":"HMDB: the Human Metabolome Database.","year":2007,"url":"http://doi.org/10.1093/nar/gkl923","authors":"David S. Wishart, Dan Tzur, Craig Knox, Roman Eisner, An Chi Guo, Nelson Young, Dean Cheng, Kevin Jewell, David Arndt, Summit Sawhney, Chris Fung, Lisa Nikolai, Mike Lewis, Marie-Aude Coutouly, Ian Forsythe, Peter Tang, Savita Shrivastava, Kevin Jeroncic, Paul Stothard, Godwin Amegbey, David Block, David. D. Hau, James Wagner, Jessica Miniaci, Melisa Clements, Mulu Gebremedhin, Natalie Guo, Ying Zhang, Gavin E. Duggan, Glen D. MacInnis, Alim M. Weljie, Reza Dowlatabadi, Fiona Bamforth, Derrick Clive, Russ Greiner, Liang Li, Tom Marrie, Brian D. Sykes, Hans J. Vogel, Lori Querengesser","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl923","created_at":"2021-09-30T08:26:51.369Z","updated_at":"2022-08-29T17:34:14.720Z"},{"id":2371,"pubmed_id":17202168,"title":"HMDB: a knowledgebase for the human metabolome","year":2008,"url":"http://doi.org/10.1093/nar/gkn810","authors":"David S Wishart, Dan Tzur, Craig Knox, Roman Eisner, An Chi Guo, Nelson Young, Dean Cheng, Kevin Jewell, David Arndt, Summit Sawhney, Chris Fung, Lisa Nikolai, Mike Lewis, Marie-Aude Coutouly, Ian Forsythe, Peter Tang, Savita Shrivastava, Kevin Jeroncic, Paul Stothard, Godwin Amegbey, David Block, David D Hau, James Wagner, Jessica Miniaci, Melisa Clements, Mulu Gebremedhin, Natalie Guo, Ying Zhang, Gavin E Duggan, Glen D Macinnis, Alim M Weljie, Reza Dowlatabadi, Fiona Bamforth, Derrick Clive, Russ Greiner, Liang Li, Tom Marrie, Brian D Sykes, Hans J Vogel, Lori Querengesser","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn810","created_at":"2021-09-30T08:26:51.478Z","updated_at":"2022-08-29T17:37:48.347Z"},{"id":3567,"pubmed_id":29140435,"title":"HMDB 4.0: the human metabolome database for 2018","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx1089","authors":"Wishart, David S; Feunang, Yannick Djoumbou; Marcu, Ana; Guo, An Chi; Liang, Kevin; Vázquez-Fresno, Rosa; Sajed, Tanvir; Johnson, Daniel; Li, Carin; Karu, Naama; Sayeeda, Zinat; Lo, Elvis; Assempour, Nazanin; Berjanskii, Mark; Singhal, Sandeep; Arndt, David; Liang, Yonjie; Badran, Hasan; Grant, Jason; Serra-Cayuela, Arnau; Liu, Yifeng; Mandal, Rupa; Neveu, Vanessa; Pon, Allison; Knox, Craig; Wilson, Michael; Manach, Claudine; Scalbert, Augustin; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1089","created_at":"2022-08-29T17:32:16.019Z","updated_at":"2022-08-29T17:32:16.019Z"},{"id":3568,"pubmed_id":34986597,"title":"HMDB 5.0: the Human Metabolome Database for 2022","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1062","authors":"Wishart, David S; Guo, AnChi; Oler, Eponine; Wang, Fei; Anjum, Afia; Peters, Harrison; Dizon, Raynard; Sayeeda, Zinat; Tian, Siyang; Lee, Brian L; Berjanskii, Mark; Mah, Robert; Yamamoto, Mai; Jovel, Juan; Torres-Calzada, Claudia; Hiebert-Giesbrecht, Mickel; Lui, Vicki W; Varshavi, Dorna; Varshavi, Dorsa; Allen, Dana; Arndt, David; Khetarpal, Nitya; Sivakumaran, Aadhavya; Harford, Karxena; Sanford, Selena; Yee, Kristen; Cao, Xuan; Budinski, Zachary; Liigand, Jaanus; Zhang, Lun; Zheng, Jiamin; Mandal, Rupasri; Karu, Naama; Dambrova, Maija; Schiöth, Helgi B; Greiner, Russell; Gautam, Vasuk; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1062","created_at":"2022-08-29T17:32:55.907Z","updated_at":"2022-08-29T17:32:55.907Z"}],"licence_links":[{"licence_name":"HMDB Attribution required","licence_id":399,"licence_url":"https://hmdb.ca/citing","link_id":1629,"relation":"undefined"},{"licence_name":"HMDB No derivatives without permission","licence_id":400,"licence_url":"https://hmdb.ca/about","link_id":1630,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2085","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-26T09:50:46.589Z","metadata":{"doi":"10.25504/FAIRsharing.psn0h2","name":"Toxin and Toxin Target Database","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca","contact_orcid":"0000-0002-3207-2434"}],"homepage":"http://www.t3db.ca/","citations":[],"identifier":2085,"description":"Toxin and Toxin Target Database (T3DB)The Toxin and Toxin Target Database (T3DB) is a bioinformatics resource that combines detailed toxin data with comprehensive toxin target information. Each toxin record (ToxCard) contains over 90 data fields and holds information such as chemical properties and descriptors, toxicity values, molecular and cellular interactions, and medical information. This information has been extracted from a variety of sources, including other databases, government documents, books, and scientific literature.\n\nThe focus of the T3DB is on providing mechanisms of toxicity and target proteins for each toxin. It is also fully searchable and supports extensive text, sequence, chemical structure, and relational query searches. Potential applications of T3DB include toxin metabolism prediction, toxin/drug interaction prediction, and general toxin hazard awareness by the public, making it applicable to various fields.","abbreviation":"T3DB","data_curation":{"url":"http://www.t3db.ca/sources","type":"manual/automated"},"support_links":[{"url":"http://www.t3db.ca/help/fields","name":"Documentation","type":"Help documentation"},{"url":"http://www.t3db.ca/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/WishartLab","name":"@WishartLab","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012189","name":"re3data:r3d100012189","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002672","name":"SciCrunch:RRID:SCR_002672","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000553","bsg-d000553"],"name":"FAIRsharing record for: Toxin and Toxin Target Database","abbreviation":"T3DB","url":"https://fairsharing.org/10.25504/FAIRsharing.psn0h2","doi":"10.25504/FAIRsharing.psn0h2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Toxin and Toxin Target Database (T3DB)The Toxin and Toxin Target Database (T3DB) is a bioinformatics resource that combines detailed toxin data with comprehensive toxin target information. Each toxin record (ToxCard) contains over 90 data fields and holds information such as chemical properties and descriptors, toxicity values, molecular and cellular interactions, and medical information. This information has been extracted from a variety of sources, including other databases, government documents, books, and scientific literature.\n\nThe focus of the T3DB is on providing mechanisms of toxicity and target proteins for each toxin. It is also fully searchable and supports extensive text, sequence, chemical structure, and relational query searches. Potential applications of T3DB include toxin metabolism prediction, toxin/drug interaction prediction, and general toxin hazard awareness by the public, making it applicable to various fields.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16493}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Toxicology","Chemistry","Medical Toxicology","Biomedical Science"],"domains":["Molecular entity","Drug","Drug metabolic process","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":519,"pubmed_id":19897546,"title":"T3DB: a comprehensively annotated database of common toxins and their targets.","year":2009,"url":"http://doi.org/10.1093/nar/gkp934","authors":"Lim E., Pon A., Djoumbou Y., Knox C., Shrivastava S., Guo AC., Neveu V., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp934","created_at":"2021-09-30T08:23:16.659Z","updated_at":"2021-09-30T08:23:16.659Z"},{"id":1608,"pubmed_id":25378312,"title":"T3DB: the toxic exposome database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1004","authors":"Wishart D,Arndt D,Pon A,Sajed T,Guo AC,Djoumbou Y,Knox C,Wilson M,Liang Y,Grant J,Liu Y,Goldansaz SA,Rappaport SM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1004","created_at":"2021-09-30T08:25:20.260Z","updated_at":"2021-09-30T11:29:15.644Z"}],"licence_links":[{"licence_name":"T3DB Terms of Use","licence_id":1102,"licence_url":"http://www.t3db.ca/downloads","link_id":3565,"relation":"applies_to_content"}],"grants":[{"id":1605,"fairsharing_record_id":2085,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:13.409Z","updated_at":"2021-09-30T09:32:46.295Z","grant_id":1770,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","grant":"111062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1607,"fairsharing_record_id":2085,"organisation_id":2799,"relation":"maintains","created_at":"2021-09-30T09:25:13.527Z","updated_at":"2024-03-26T08:51:09.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11625,"fairsharing_record_id":2085,"organisation_id":354,"relation":"maintains","created_at":"2024-03-26T08:51:08.793Z","updated_at":"2024-03-26T08:51:08.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11627,"fairsharing_record_id":2085,"organisation_id":1107,"relation":"funds","created_at":"2024-03-26T08:51:09.313Z","updated_at":"2024-03-26T08:51:09.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1107,"name":"Genome Alberta, Alberta, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11626,"fairsharing_record_id":2085,"organisation_id":1111,"relation":"funds","created_at":"2024-03-26T08:51:08.833Z","updated_at":"2024-03-26T08:51:08.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11628,"fairsharing_record_id":2085,"organisation_id":1109,"relation":"funds","created_at":"2024-03-26T08:51:09.459Z","updated_at":"2024-03-26T08:51:09.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":1109,"name":"Genome British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11612,"fairsharing_record_id":2085,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:38.819Z","updated_at":"2024-03-26T08:51:09.931Z","grant_id":null,"is_lead":true,"saved_state":{"id":3309,"name":"Wishart Lab, University of Alberta","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaGNFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4767ec568a9519169473e68911fa244c9bbc23cb/Screenshot%20from%202024-03-26%2008-41-24.png?disposition=inline","exhaustive_licences":true}},{"id":"2070","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:42.576Z","metadata":{"doi":"10.25504/FAIRsharing.pdx9yt","name":"Aspergillus Genomes","status":"deprecated","contacts":[{"contact_name":"Jane E. Mabey Gilsenan","contact_email":"jane.gilsenan@manchester.ac.uk"}],"homepage":"http://www.aspergillus-genomes.org.uk/","identifier":2070,"description":"Aspergillus Genomes is a resource for viewing annotated genes arising from various Aspergillus sequencing and annotation projects.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.aspergillusblog.blogspot.co.uk","type":"Blog/News"},{"url":"admin@aspergillus.org.uk","type":"Support email"},{"url":"http://www.aspergillus.org.uk/content/proposal-naming-genes-aspergillus-species","type":"Help documentation"},{"url":"http://www.aspergillus.org.uk/content/aspergillus-genomics-research-policy-committee-meeting-minutes","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.cadre-genomes.org.uk/Aspergillus_fumigatus/blastview","name":"blast"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource has been deprecated because the homepage no longer exists and the project has been obsoleted. Please see https://www.aspergillus.org.uk/genomes/aspergillus-genomes/ for more information","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000537","bsg-d000537"],"name":"FAIRsharing record for: Aspergillus Genomes","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pdx9yt","doi":"10.25504/FAIRsharing.pdx9yt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Aspergillus Genomes is a resource for viewing annotated genes arising from various Aspergillus sequencing and annotation projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene","Genome"],"taxonomies":["Aspergillus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":128,"pubmed_id":19039001,"title":"Aspergillus genomes and the Aspergillus cloud.","year":2008,"url":"http://doi.org/10.1093/nar/gkn876","authors":"Mabey Gilsenan JE., Atherton G., Bartholomew J., Giles PF., Attwood TK., Denning DW., Bowyer P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn876","created_at":"2021-09-30T08:22:34.064Z","updated_at":"2021-09-30T08:22:34.064Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1186,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2086","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:52.553Z","metadata":{"doi":"10.25504/FAIRsharing.wfrsvq","name":"gpDB","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"contactbiodb@biol.uoa.gr"}],"homepage":"http://bioinformatics.biol.uoa.gr/gpDB","identifier":2086,"description":"GpDB is a publicly accessible, relational database of G-proteins and their interactions with GPCRs and effector molecules. The sequences are classified according to a hierarchy of different classes, families and sub-families, based on extensive literature search.","abbreviation":"gpDB","data_curation":{"url":"http://bioinformatics.biol.uoa.gr/gpDB/help/manual.htm#_Data_annotation","type":"manual"},"support_links":[{"url":"http://bioinformatics.biol.uoa.gr/gpDB/help/manual.htm","type":"Help documentation"},{"url":"http://bioinformatics.biol.uoa.gr/gpDB/help/manual.htm","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://bioinformatics.biol.uoa.gr/gpDB/retrieveBla.jsp","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000554","bsg-d000554"],"name":"FAIRsharing record for: gpDB","abbreviation":"gpDB","url":"https://fairsharing.org/10.25504/FAIRsharing.wfrsvq","doi":"10.25504/FAIRsharing.wfrsvq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GpDB is a publicly accessible, relational database of G-proteins and their interactions with GPCRs and effector molecules. The sequences are classified according to a hierarchy of different classes, families and sub-families, based on extensive literature search.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Small molecule","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":511,"pubmed_id":18441001,"title":"gpDB: a database of GPCRs, G-proteins, effectors and their interactions.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn206","authors":"Theodoropoulou MC., Bagos PG., Spyropoulos IC., Hamodrakas SJ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn206","created_at":"2021-09-30T08:23:15.775Z","updated_at":"2021-09-30T08:23:15.775Z"},{"id":534,"pubmed_id":15619328,"title":"A database for G proteins and their interaction with GPCRs.","year":2004,"url":"http://doi.org/10.1186/1471-2105-5-208","authors":"Elefsinioti AL., Bagos PG., Spyropoulos IC., Hamodrakas SJ.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-5-208","created_at":"2021-09-30T08:23:18.353Z","updated_at":"2021-09-30T08:23:18.353Z"}],"licence_links":[{"licence_name":"GpDB Attribution required","licence_id":363,"licence_url":"http://bioinformatics.biol.uoa.gr/gpDB/index.jsp","link_id":520,"relation":"undefined"}],"grants":[{"id":1609,"fairsharing_record_id":2086,"organisation_id":3015,"relation":"maintains","created_at":"2021-09-30T09:25:13.593Z","updated_at":"2021-09-30T09:25:13.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":3015,"name":"University of Athens, Greece","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2135","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:47.495Z","metadata":{"doi":"10.25504/FAIRsharing.1fbc5y","name":"arrayMap - Genomic Array Data for Cancer CNV Profiles","status":"ready","contacts":[{"contact_name":"Michael Baudis","contact_email":"mbaudis@me.com","contact_orcid":"0000-0002-9903-4248"}],"homepage":"http://arraymap.org","identifier":2135,"description":"Part of the Progenetix project, the arrayMap database facilitates the study of the genetics of human cancer. The Progenetix project provides the data customisation and visualization tools to mine the available data. The arrayMap database is developed by the group \"Theoretical Cytogenetics and Oncogenomics\" at the Department of Molecular Life Sciences of the University of Zurich.","abbreviation":"arrayMap","data_curation":{"type":"manual"},"support_links":[{"url":"http://info.progenetix.org","name":"Progenetix Documentation","type":"Help documentation"},{"url":"https://twitter.com/progenetix","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://arraymap.org/score/","name":"CNA frequency in Cancer"},{"url":"http://arraymap.org/upload/","name":"Copy Number Segment Plotter"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012630","name":"re3data:r3d100012630","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://github.com/progenetix/oncopubs","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000605","bsg-d000605"],"name":"FAIRsharing record for: arrayMap - Genomic Array Data for Cancer CNV Profiles","abbreviation":"arrayMap","url":"https://fairsharing.org/10.25504/FAIRsharing.1fbc5y","doi":"10.25504/FAIRsharing.1fbc5y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Part of the Progenetix project, the arrayMap database facilitates the study of the genetics of human cancer. The Progenetix project provides the data customisation and visualization tools to mine the available data. The arrayMap database is developed by the group \"Theoretical Cytogenetics and Oncogenomics\" at the Department of Molecular Life Sciences of the University of Zurich.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11361},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12173},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12699}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Bioinformatics","Life Science","Biomedical Science"],"domains":["Expression data","Cancer","DNA microarray","Chromosomal aberration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":595,"pubmed_id":22629346,"title":"arrayMap: a reference resource for genomic copy number imbalances in human malignancies.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0036944","authors":"Cai H, Kumar N, Baudis M.","journal":"PLoS One. 2012;7(5):e36944.","doi":"10.1371/journal.pone.0036944","created_at":"2021-09-30T08:23:25.276Z","updated_at":"2021-09-30T08:23:25.276Z"},{"id":1259,"pubmed_id":25428357,"title":"arrayMap 2014: an updated cancer genome resource.","year":2014,"url":"http://doi.org/10.1093/nar/gku1123","authors":"Cai H,Gupta S,Rath P,Ai N,Baudis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1123","created_at":"2021-09-30T08:24:40.464Z","updated_at":"2021-09-30T11:29:04.243Z"},{"id":1260,"pubmed_id":24476156,"title":"Chromothripsis-like patterns are recurring but heterogeneously distributed features in a survey of 22,347 cancer genome screens.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-82","authors":"Cai H,Kumar N,Bagheri HC,von Mering C,Robinson MD,Baudis M","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-82","created_at":"2021-09-30T08:24:40.592Z","updated_at":"2021-09-30T08:24:40.592Z"},{"id":1279,"pubmed_id":26615188,"title":"The SIB Swiss Institute of Bioinformatics' resources: focus on curated databases.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1310","authors":"SIB Swiss Institute of Bioinformatics Members","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1310","created_at":"2021-09-30T08:24:42.741Z","updated_at":"2021-09-30T11:29:05.268Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Switzerland (CC BY-NC-ND 2.5 CH)","licence_id":176,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/ch/","link_id":640,"relation":"undefined"}],"grants":[{"id":1758,"fairsharing_record_id":2135,"organisation_id":3155,"relation":"maintains","created_at":"2021-09-30T09:25:19.484Z","updated_at":"2021-09-30T09:25:19.484Z","grant_id":null,"is_lead":false,"saved_state":{"id":3155,"name":"University of Zurich, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1757,"fairsharing_record_id":2135,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:19.445Z","updated_at":"2021-09-30T09:25:19.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":10009,"fairsharing_record_id":2135,"organisation_id":841,"relation":"funds","created_at":"2022-10-13T09:43:38.672Z","updated_at":"2022-10-13T09:43:38.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2136","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:16:26.885Z","metadata":{"doi":"10.25504/FAIRsharing.qmygaa","name":"GeneProf","status":"deprecated","contacts":[{"contact_name":"Florian Halbritter","contact_email":"florian.halbritter@ed.ac.uk","contact_orcid":"0000-0003-2452-4784"}],"homepage":"http://www.geneprof.org","identifier":2136,"description":"GeneProf Data is an open web resource for analysed functional genomics experiments. We have built up a large collection of completely processed RNA-seq and ChIP-seq studies by carefully and transparently reanalysing and annotating high-profile public data sets. GeneProf makes these data instantly accessible in an easily interpretable, searchable and reusable manner and thus opens up the path to the advantages and insights gained from genome-scale experiments to a broader scientific audience. Moreover, GeneProf supports programmatic access to these data via web services to further facilitate the reuse of experimental data across tools and laboratories.","abbreviation":"GeneProf","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.geneprof.org/bugsandfeatures.jsp","type":"Contact form"},{"url":"http://www.geneprof.org/GeneProf/help_frequentlyaskedquestions(faq).jsp#chapter:FrequentlyAskedQuestions(FAQ)","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.geneprof.org/GeneProf/help_and_tutorials.jsp","type":"Help documentation"},{"url":"http://www.geneprof.org/help_and_tutorials.jsp","type":"Help documentation"},{"url":"http://www.geneprof.org/GeneProf/help_tutorials.jsp#chapter:Tutorials","type":"Training documentation"}],"year_creation":2009,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000606","bsg-d000606"],"name":"FAIRsharing record for: GeneProf","abbreviation":"GeneProf","url":"https://fairsharing.org/10.25504/FAIRsharing.qmygaa","doi":"10.25504/FAIRsharing.qmygaa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneProf Data is an open web resource for analysed functional genomics experiments. We have built up a large collection of completely processed RNA-seq and ChIP-seq studies by carefully and transparently reanalysing and annotating high-profile public data sets. GeneProf makes these data instantly accessible in an easily interpretable, searchable and reusable manner and thus opens up the path to the advantages and insights gained from genome-scale experiments to a broader scientific audience. Moreover, GeneProf supports programmatic access to these data via web services to further facilitate the reuse of experimental data across tools and laboratories.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12700}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Epigenetics","Life Science","Biomedical Science"],"domains":["Expression data","Computational biological predictions","Ribonucleic acid","Gene model annotation","Chromatin immunoprecipitation - DNA sequencing","Chromatin immunoprecipitation - DNA microarray","RNA sequencing","Binding site"],"taxonomies":["All","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":602,"pubmed_id":22205509,"title":"GeneProf: analysis of high-throughput sequencing experiments","year":2011,"url":"http://doi.org/10.1038/nmeth.1809","authors":"Halbritter F, Vaidya HJ and Tomlinson SR","journal":"Nature Methods","doi":"10.1038/nmeth.1809","created_at":"2021-09-30T08:23:26.002Z","updated_at":"2021-09-30T08:23:26.002Z"},{"id":605,"pubmed_id":null,"title":"GeneProf data: a resource of curated, integrated and reusable high-throughput genomics experiments","year":2013,"url":"http://doi.org/10.1093/nar/gkt966","authors":"Halbritter F, Kousa AI and Tomlinson SR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt966","created_at":"2021-09-30T08:23:26.302Z","updated_at":"2021-09-30T08:23:26.302Z"}],"licence_links":[{"licence_name":"GeneProf Terms and Conditions and Academic License","licence_id":331,"licence_url":"http://www.geneprof.org/GeneProf/terms_and_conditions.jsp","link_id":819,"relation":"undefined"}],"grants":[{"id":1760,"fairsharing_record_id":2136,"organisation_id":3052,"relation":"maintains","created_at":"2021-09-30T09:25:19.542Z","updated_at":"2021-09-30T09:25:19.542Z","grant_id":null,"is_lead":false,"saved_state":{"id":3052,"name":"University of Edinburgh, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1761,"fairsharing_record_id":2136,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:19.574Z","updated_at":"2021-09-30T09:30:26.638Z","grant_id":713,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"G0901533","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2138","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:02.914Z","metadata":{"doi":"10.25504/FAIRsharing.jwhdyr","name":"ModBase database of comparative protein structure models","status":"ready","contacts":[{"contact_name":"ModBase Contact","contact_email":"modbase@salilab.org"}],"homepage":"https://salilab.org/modbase","citations":[{"doi":"10.1007/978-981-33-6191-1_2","pubmed_id":null,"publication_id":3894}],"identifier":2138,"description":"ModBase (https://salilab.org/modbase) is a database of annotated comparative protein structure models. The models are calculated by ModPipe, an automated modeling pipeline that relies primarily on Modeller for fold assignment, sequence-structure alignment, model building, and model assessment (https://salilab.org/modeller/). ModBase currently contains almost 30 million reliable models for domains in 4.7 million unique protein sequences. ModBase allows users to compute or update comparative models on demand, through an interface to the ModWeb modeling server (https://salilab.org/modweb).","abbreviation":"ModBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://salilab.org/modbase","type":"Help documentation"}],"year_creation":1998,"data_versioning":"no","associated_tools":[{"url":"http://salilab.org/modpipe","name":"ModPipe 2.2"}],"data_access_condition":{"url":"https://modbase.compbio.ucsf.edu/modbase-cgi/manage_datasets.cgi","type":"partially open","notes":"Dataset Summaries are not available for the Anonymous user."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://modbase.compbio.ucsf.edu/modweb/","type":"controlled","notes":"Only registered users."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000608","bsg-d000608"],"name":"FAIRsharing record for: ModBase database of comparative protein structure models","abbreviation":"ModBase","url":"https://fairsharing.org/10.25504/FAIRsharing.jwhdyr","doi":"10.25504/FAIRsharing.jwhdyr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ModBase (https://salilab.org/modbase) is a database of annotated comparative protein structure models. The models are calculated by ModPipe, an automated modeling pipeline that relies primarily on Modeller for fold assignment, sequence-structure alignment, model building, and model assessment (https://salilab.org/modeller/). ModBase currently contains almost 30 million reliable models for domains in 4.7 million unique protein sequences. ModBase allows users to compute or update comparative models on demand, through an interface to the ModWeb modeling server (https://salilab.org/modweb).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12701}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":591,"pubmed_id":21097780,"title":"ModBase, a database of annotated comparative protein structure models, and associated resources.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1091","authors":"Pieper U, Webb BM, Barkan DT, Schneidman-Duhovny D, Schlessinger A, Braberg H, Yang Z, Meng EC, Pettersen EF, Huang CC, Datta RS, Sampathkumar P, Madhusudhan MS, Sjölander K, Ferrin TE, Burley SK, Sali A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1091","created_at":"2021-09-30T08:23:24.800Z","updated_at":"2021-09-30T11:28:47.734Z"},{"id":3894,"pubmed_id":null,"title":"Bioinformatics Tools and Software","year":2021,"url":"http://dx.doi.org/10.1007/978-981-33-6191-1_2","authors":"Gupta, Aeshna; Gangotia, Disha; Mani, Indra; ","journal":"Advances in Bioinformatics","doi":"10.1007/978-981-33-6191-1_2","created_at":"2023-06-07T07:33:53.724Z","updated_at":"2023-06-07T07:33:53.724Z"}],"licence_links":[],"grants":[{"id":1765,"fairsharing_record_id":2138,"organisation_id":1671,"relation":"maintains","created_at":"2021-09-30T09:25:19.701Z","updated_at":"2021-09-30T09:25:19.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1671,"name":"Laboratory of Andrej Sali, University of California at San Francisco (UCSF), San Francisco, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2139","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:51:56.517Z","metadata":{"doi":"10.25504/FAIRsharing.34pfmc","name":"CentrosomeDB","status":"deprecated","contacts":[{"contact_name":"Alberto Pascual Montano","contact_email":"pascual@cnb.csic.es"}],"homepage":"http://centrosome.cnb.csic.es","identifier":2139,"description":"CentrosomeDB is a collection of human and drosophila centrosomal genes that were reported in the literature and other sources. The database offers the possibility to study the evolution, function, and structure of the centrosome. They have compiled information from many sources, including Gene Ontology, disease-association, single nucleotide polymorphisms, and associated gene expression experiments.","abbreviation":"CentrosomeDB","data_curation":{"type":"not found"},"support_links":[{"url":"fbio@cnb.csic.es","type":"Support email"},{"url":"http://centrosome.cnb.csic.es/human/centrosome/help","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://centrosome.cnb.csic.es/human/centrosome/query_blast","name":"BLAST"}],"deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000609","bsg-d000609"],"name":"FAIRsharing record for: CentrosomeDB","abbreviation":"CentrosomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.34pfmc","doi":"10.25504/FAIRsharing.34pfmc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CentrosomeDB is a collection of human and drosophila centrosomal genes that were reported in the literature and other sources. The database offers the possibility to study the evolution, function, and structure of the centrosome. They have compiled information from many sources, including Gene Ontology, disease-association, single nucleotide polymorphisms, and associated gene expression experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein identification","Centrosome","Sequence"],"taxonomies":["Drosophila melanogaster","Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":592,"pubmed_id":24270791,"title":"CentrosomeDB: a new generation of the centrosomal proteins database for Human and Drosophila melanogaster","year":2013,"url":"http://doi.org/10.1093/nar/gkt1126","authors":"Joao Alves-Cruzeiro, Ruben Nogalales-Cadenas, Alberto Pascual-Montano","journal":"NAR-Nucleic Acids Research","doi":"10.1093/nar/gkt1126","created_at":"2021-09-30T08:23:24.960Z","updated_at":"2021-09-30T08:23:24.960Z"}],"licence_links":[],"grants":[{"id":1768,"fairsharing_record_id":2139,"organisation_id":1973,"relation":"maintains","created_at":"2021-09-30T09:25:19.818Z","updated_at":"2021-09-30T09:25:19.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":1973,"name":"National Centre for Biotechnolgy (CNB), Madrid, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1767,"fairsharing_record_id":2139,"organisation_id":595,"relation":"funds","created_at":"2021-09-30T09:25:19.777Z","updated_at":"2021-09-30T09:29:14.594Z","grant_id":155,"is_lead":false,"saved_state":{"id":595,"name":"Comunidad de Madrid (CAM), Madrid, Spain","grant":"CAM - P2006/Gen-0166","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8024,"fairsharing_record_id":2139,"organisation_id":595,"relation":"funds","created_at":"2021-09-30T09:30:28.003Z","updated_at":"2021-09-30T09:30:28.055Z","grant_id":724,"is_lead":false,"saved_state":{"id":595,"name":"Comunidad de Madrid (CAM), Madrid, Spain","grant":"P2010/BMD-2305","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9213,"fairsharing_record_id":2139,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.750Z","updated_at":"2022-04-11T12:07:22.769Z","grant_id":1286,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"BIO2010-17527","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2131","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:35.525Z","metadata":{"doi":"10.25504/FAIRsharing.8fy3bn","name":"The mitochondrial DNA breakpoints database","status":"ready","contacts":[{"contact_name":"Filipe Pereira","contact_email":"mitobreak@gmail.com","contact_orcid":"0000-0001-8950-1036"},{"contact_name":"Joana Damas","contact_email":"joanadamas@gmail.com","contact_orcid":"0000-0003-4857-2510"}],"homepage":"http://mitobreak.portugene.com","citations":[],"identifier":2131,"description":"A comprehensive on-line resource with curated datasets of mitochondrial DNA (mtDNA) rearrangements.","abbreviation":"MitoBreak","data_curation":{"url":"http://mitobreak.portugene.com/cgi-bin/Mitobreak_home.cgi","type":"manual"},"support_links":[{"url":"http://mitobreak.portugene.com/MitoBreak_contact.html","type":"Contact form"},{"url":"http://mitobreak.portugene.com/MitoBreak_help.html","type":"Help documentation"},{"url":"http://mitobreak.portugene.com/MitoBreak_documentation.html","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://mitobreak.portugene.com/cgi-bin/Mitobreak_classifier_input.cgi","name":"Classifier"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://mitobreak.portugene.com/cgi-bin/Mitobreak_submission.cgi","type":"controlled","notes":"Submittinh large collection of rearrangements to submit or adding breakpoints from a species and/or rearrangement type in MitoBreak via contacting them."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000601","bsg-d000601"],"name":"FAIRsharing record for: The mitochondrial DNA breakpoints database","abbreviation":"MitoBreak","url":"https://fairsharing.org/10.25504/FAIRsharing.8fy3bn","doi":"10.25504/FAIRsharing.8fy3bn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive on-line resource with curated datasets of mitochondrial DNA (mtDNA) rearrangements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Chromosome fragile site","Mitochondrial genome","Chromosome breakpoint","Nucleotide duplication","Deletions","Mitochondrial disease"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Macaca mulatta","Mus musculus","Podospora anserina","Rattus norvegicus"],"user_defined_tags":["Genomic rearrangement"],"countries":["Portugal"],"publications":[{"id":566,"pubmed_id":24170808,"title":"MitoBreak: The mitochondrial DNA breakpoints database","year":2013,"url":"http://doi.org/10.1093/nar/gkt982","authors":"Joana Damas, João Carneiro, António Amorim and Filipe Pereira","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt982","created_at":"2021-09-30T08:23:21.893Z","updated_at":"2021-09-30T08:23:21.893Z"}],"licence_links":[],"grants":[{"id":9517,"fairsharing_record_id":2131,"organisation_id":3511,"relation":"maintains","created_at":"2022-05-12T10:45:17.226Z","updated_at":"2022-05-12T10:45:17.226Z","grant_id":null,"is_lead":true,"saved_state":{"id":3511,"name":"IDENTIFICA genetic testing","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZEE9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--bef1bc6f04e45dbc52982ede048e35b58882e681/MitoBreaklogojpg3.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2132","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:36:32.508Z","metadata":{"doi":"10.25504/FAIRsharing.9vyk3d","name":"JCB DataViewer","status":"deprecated","contacts":[{"contact_name":"Liz Williams","contact_email":"lwilliams@rockefeller.edu","contact_orcid":"0000-0002-4665-1875"}],"homepage":"http://jcb-dataviewer.rupress.org","identifier":2132,"description":"The JCB DataViewer is an image hosting and visualization platform for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the \"scores\" from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard.","abbreviation":"JCB DataViewer","data_curation":{"type":"not found"},"support_links":[{"url":"http://jcb-dataviewer.rupress.org/jcb/page/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://jcb-dataviewer.rupress.org","type":"Help documentation"},{"url":"https://twitter.com/JCellBiol","type":"Twitter"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://downloads.openmicroscopy.org/bio-formats/4.4.9/","name":"Bio-Formats 4.4.9"}],"deprecation_date":"2019-06-05","deprecation_reason":"This resource is now deprecated. The data that was stored in this resource has (mostly) been moved to BioStudies, to a specific JCB collection (https://www.ebi.ac.uk/biostudies/JCB/studies).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000602","bsg-d000602"],"name":"FAIRsharing record for: JCB DataViewer","abbreviation":"JCB DataViewer","url":"https://fairsharing.org/10.25504/FAIRsharing.9vyk3d","doi":"10.25504/FAIRsharing.9vyk3d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JCB DataViewer is an image hosting and visualization platform for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the \"scores\" from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11221},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11360}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":569,"pubmed_id":20513764,"title":"Metadata matters: access to image data in the real world","year":2010,"url":"http://doi.org/10.1083/jcb.201004104","authors":"Melissa Linkert, Curtis T. Rueden, Chris Allan et al.","journal":"The Journal of Cell Biology","doi":"10.1083/jcb.201004104","created_at":"2021-09-30T08:23:22.218Z","updated_at":"2021-09-30T08:23:22.218Z"},{"id":571,"pubmed_id":22869591,"title":"The JCB DataViewer scales up.","year":2012,"url":"http://doi.org/10.1083/jcb.201207117","authors":"Williams EH, Carpentier P, Misteli T.","journal":"Journal of Cell Biology","doi":"10.1083/jcb.201207117","created_at":"2021-09-30T08:23:22.468Z","updated_at":"2021-09-30T08:23:22.468Z"},{"id":572,"pubmed_id":20921131,"title":"Friends, colleagues, authors, lend us your data.","year":2010,"url":"http://doi.org/10.1083/jcb.201009056","authors":"DeCathelineau A, Williams EH, Misteli T, Rossner M.","journal":"Journal of Cell Bioloy","doi":"10.1083/jcb.201009056","created_at":"2021-09-30T08:23:22.572Z","updated_at":"2021-09-30T08:23:22.572Z"},{"id":573,"pubmed_id":21893594,"title":"New tools for JCB","year":2011,"url":"http://doi.org/10.1083/jcb.201108096","authors":"Williams EH, Misteli T.","journal":"Journal of Cell Biology","doi":"10.1083/jcb.201108096","created_at":"2021-09-30T08:23:22.677Z","updated_at":"2021-09-30T08:23:22.677Z"},{"id":1637,"pubmed_id":null,"title":"Announcing the JCB DataViewer, a browser-based application for viewing original image files","year":2008,"url":"http://doi.org/10.1083/jcb.200811132","authors":"Hill E","journal":"Journal of Cell Biology","doi":"10.1083/jcb.200811132","created_at":"2021-09-30T08:25:23.389Z","updated_at":"2021-09-30T08:25:23.389Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":858,"relation":"undefined"},{"licence_name":"JCB DataViewer Terms of Use","licence_id":468,"licence_url":"http://jcb-dataviewer.rupress.org/jcb/page/termsofuse/","link_id":814,"relation":"undefined"}],"grants":[{"id":1745,"fairsharing_record_id":2132,"organisation_id":1610,"relation":"maintains","created_at":"2021-09-30T09:25:19.101Z","updated_at":"2021-09-30T09:25:19.101Z","grant_id":null,"is_lead":false,"saved_state":{"id":1610,"name":"Journal of Cell Biology (JCB), New York, NY, USA","types":["Publisher"],"is_lead":false,"relation":"maintains"}},{"id":1748,"fairsharing_record_id":2132,"organisation_id":1162,"relation":"maintains","created_at":"2021-09-30T09:25:19.213Z","updated_at":"2021-09-30T09:25:19.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":1162,"name":"Glencoe Software, Seattle, WA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1746,"fairsharing_record_id":2132,"organisation_id":2457,"relation":"maintains","created_at":"2021-09-30T09:25:19.139Z","updated_at":"2021-09-30T09:25:19.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":2457,"name":"Rockefeller University Press","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1747,"fairsharing_record_id":2132,"organisation_id":2261,"relation":"maintains","created_at":"2021-09-30T09:25:19.176Z","updated_at":"2021-09-30T09:25:19.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2134","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:58.852Z","metadata":{"doi":"10.25504/FAIRsharing.65tdnz","name":"Progenetix","status":"ready","contacts":[{"contact_name":"Michael Baudis","contact_email":"mbaudis@me.com","contact_orcid":"0000-0002-9903-4248"}],"homepage":"https://progenetix.org/","citations":[{"doi":"10.1093/bioinformatics/17.12.1228","pubmed_id":11751233,"publication_id":2667}],"identifier":2134,"description":"The Progenetix database provides an overview of copy number abnormalities in human cancer from Comparative Genomic Hybridization (CGH) experiments. Progenetix is the largest curated database for whole genome copy number profiles in cancer. The current dataset contains more than 130'000 profiles from genomic CNV screening experiments. This data covers 700 diagnostic entities according to the NCIt Neoplasm Core and the International Classification of Disease in Oncology (ICD-O 3). Additionally, the website attempts to lists all publications referring to cancer genome profiling experiments.","abbreviation":"Progenetix","data_curation":{"type":"manual"},"support_links":[{"url":"https://info.progenetix.org/categories/news.html","name":"News","type":"Blog/News"},{"url":"https://info.progenetix.org/categories/howto.html","type":"Help documentation"},{"url":"https://info.progenetix.org/categories/about.html","type":"Help documentation"},{"url":"https://twitter.com/progenetix","type":"Twitter"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012820","name":"re3data:r3d100012820","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000604","bsg-d000604"],"name":"FAIRsharing record for: Progenetix","abbreviation":"Progenetix","url":"https://fairsharing.org/10.25504/FAIRsharing.65tdnz","doi":"10.25504/FAIRsharing.65tdnz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Progenetix database provides an overview of copy number abnormalities in human cancer from Comparative Genomic Hybridization (CGH) experiments. Progenetix is the largest curated database for whole genome copy number profiles in cancer. The current dataset contains more than 130'000 profiles from genomic CNV screening experiments. This data covers 700 diagnostic entities according to the NCIt Neoplasm Core and the International Classification of Disease in Oncology (ICD-O 3). Additionally, the website attempts to lists all publications referring to cancer genome profiling experiments.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12698}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science"],"domains":["Expression data","Cancer","Curated information","DNA microarray","Literature curation","Chromosomal aberration","Comparative genomic hybridization","Biocuration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":595,"pubmed_id":22629346,"title":"arrayMap: a reference resource for genomic copy number imbalances in human malignancies.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0036944","authors":"Cai H, Kumar N, Baudis M.","journal":"PLoS One. 2012;7(5):e36944.","doi":"10.1371/journal.pone.0036944","created_at":"2021-09-30T08:23:25.276Z","updated_at":"2021-09-30T08:23:25.276Z"},{"id":603,"pubmed_id":18088415,"title":"Genomic imbalances in 5918 malignant epithelial tumors: an explorative meta-analysis of chromosomal CGH data","year":2007,"url":"http://doi.org/10.1186/1471-2407-7-226","authors":"Baudis M","journal":"BMC Cancer. 2007 Dec 18;7:226.","doi":"10.1186/1471-2407-7-226","created_at":"2021-09-30T08:23:26.102Z","updated_at":"2021-09-30T08:23:26.102Z"},{"id":610,"pubmed_id":16568815,"title":"Online database and bioinformatics toolbox to support data mining in cancer cytogenetics.","year":2006,"url":"http://doi.org/10.2144/000112102","authors":"Baudis M","journal":"Biotechniques. 2006 Mar;40(3):269-70, 272.","doi":"10.2144/000112102","created_at":"2021-09-30T08:23:27.028Z","updated_at":"2021-09-30T08:23:27.028Z"},{"id":941,"pubmed_id":24225322,"title":"Progenetix: 12 years of oncogenomic data curation.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1108","authors":"Cai H,Kumar N,Ai N,Gupta S,Rath P,Baudis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1108","created_at":"2021-09-30T08:24:04.135Z","updated_at":"2021-09-30T11:28:55.792Z"},{"id":1259,"pubmed_id":25428357,"title":"arrayMap 2014: an updated cancer genome resource.","year":2014,"url":"http://doi.org/10.1093/nar/gku1123","authors":"Cai H,Gupta S,Rath P,Ai N,Baudis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1123","created_at":"2021-09-30T08:24:40.464Z","updated_at":"2021-09-30T11:29:04.243Z"},{"id":1260,"pubmed_id":24476156,"title":"Chromothripsis-like patterns are recurring but heterogeneously distributed features in a survey of 22,347 cancer genome screens.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-82","authors":"Cai H,Kumar N,Bagheri HC,von Mering C,Robinson MD,Baudis M","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-82","created_at":"2021-09-30T08:24:40.592Z","updated_at":"2021-09-30T08:24:40.592Z"},{"id":2667,"pubmed_id":11751233,"title":"Progenetix.net: an online repository for molecular cytogenetic aberration data.","year":2001,"url":"http://doi.org/10.1093/bioinformatics/17.12.1228","authors":"Baudis M, Cleary ML.","journal":"Bioinformatics. 2001 Dec;17(12):1228-9.","doi":"10.1093/bioinformatics/17.12.1228","created_at":"2021-09-30T08:27:27.439Z","updated_at":"2021-09-30T08:27:27.439Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2532,"relation":"applies_to_content"}],"grants":[{"id":1755,"fairsharing_record_id":2134,"organisation_id":2682,"relation":"undefined","created_at":"2021-09-30T09:25:19.395Z","updated_at":"2021-12-09T13:05:34.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2143","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:29:00.927Z","metadata":{"doi":"10.25504/FAIRsharing.f0bxfg","name":"miRTarBase","status":"deprecated","contacts":[{"contact_name":"Sheng-Da Hsu","contact_email":"ken.sd.hsu@gmail.com","contact_orcid":"0000-0002-8214-1696"}],"homepage":"http://miRTarBase.mbc.nctu.edu.tw","identifier":2143,"description":"As a database, miRTarBase has accumulated more than fifty thousand miRNA-target interactions (MTIs), which are collected by manually surveying pertinent literature after data mining of the text systematically to filter research articles related to functional studies of miRNAs. Generally, the collected MTIs are validated experimentally by reporter assay, western blot, microarray and next-generation sequencing experiments. While containing the largest amount of validated MTIs, the miRTarBase provides the most updated collection by comparing with other similar, previously developed databases.","abbreviation":"miRTarBase","data_curation":{"type":"not found"},"support_links":[{"url":"ken.sd.hsu@gmail.com","type":"Support email"},{"url":"http://mirtarbase.mbc.nctu.edu.tw/php/help.php","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000615","bsg-d000615"],"name":"FAIRsharing record for: miRTarBase","abbreviation":"miRTarBase","url":"https://fairsharing.org/10.25504/FAIRsharing.f0bxfg","doi":"10.25504/FAIRsharing.f0bxfg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As a database, miRTarBase has accumulated more than fifty thousand miRNA-target interactions (MTIs), which are collected by manually surveying pertinent literature after data mining of the text systematically to filter research articles related to functional studies of miRNAs. Generally, the collected MTIs are validated experimentally by reporter assay, western blot, microarray and next-generation sequencing experiments. While containing the largest amount of validated MTIs, the miRTarBase provides the most updated collection by comparing with other similar, previously developed databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene silencing by miRNA (microRNA)","Micro RNA"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":1072,"pubmed_id":21071411,"title":"miRTarBase: a database curates experimentally validated microRNA-target interactions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1107","authors":"Hsu SD, Lin FM, Wu WY, Liang C, Huang WC, Chan WL, Tsai WT, Chen GZ, Lee CJ, Chiu CM, Chien CH, Wu MC, Huang CY, Tsou AP, Huang HD.","journal":"Nucleic Acid Res. Database Issue","doi":"10.1093/nar/gkq1107","created_at":"2021-09-30T08:24:18.705Z","updated_at":"2021-09-30T11:28:40.992Z"}],"licence_links":[{"licence_name":"MIRTAR is free for academic and non-profit use","licence_id":516,"licence_url":"http://mirtarbase.mbc.nctu.edu.tw/cache/download/LICENSE","link_id":825,"relation":"undefined"}],"grants":[{"id":9320,"fairsharing_record_id":2143,"organisation_id":1873,"relation":"funds","created_at":"2022-04-11T12:07:30.131Z","updated_at":"2022-04-11T12:07:30.150Z","grant_id":324,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 101-2911-I-009-101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9321,"fairsharing_record_id":2143,"organisation_id":1873,"relation":"funds","created_at":"2022-04-11T12:07:30.227Z","updated_at":"2022-04-11T12:07:30.242Z","grant_id":88,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 102-2627-B-009-001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9322,"fairsharing_record_id":2143,"organisation_id":1873,"relation":"funds","created_at":"2022-04-11T12:07:30.302Z","updated_at":"2022-04-11T12:07:30.316Z","grant_id":935,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 101-2311-B-009-003-MY3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2144","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:41.470Z","metadata":{"doi":"10.25504/FAIRsharing.g2cf4x","name":"CollecTF","status":"ready","contacts":[{"contact_name":"Ivan Erill","contact_email":"erill@umbc.edu","contact_orcid":"0000-0002-7280-7191"}],"homepage":"http://collectf.umbc.edu","identifier":2144,"description":"CollecTF is a database of transcription factor binding sites (TFBS) in the Bacteria domain. It aims at becoming a reference, highly-accessed database by relying on its ability to customize navigation and data extraction, its relevance to the community, the quality and detail of the stored data and the up-to-date nature of the stored information.","abbreviation":"CollecTF","data_curation":{"url":"http://collectf.umbc.edu/browse/about/","type":"manual","notes":"The curation model combines direct author submissions and in-house curation."},"support_links":[{"url":"http://collectf.umbc.edu/browse/feedback/","type":"Contact form"},{"url":"collectfdb@umbc.edu","type":"Support email"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://collectf.umbc.edu/browse/compare_motifs/","name":"Motif Comparison"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://collectf.umbc.edu/browse/contribute/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000616","bsg-d000616"],"name":"FAIRsharing record for: CollecTF","abbreviation":"CollecTF","url":"https://fairsharing.org/10.25504/FAIRsharing.g2cf4x","doi":"10.25504/FAIRsharing.g2cf4x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CollecTF is a database of transcription factor binding sites (TFBS) in the Bacteria domain. It aims at becoming a reference, highly-accessed database by relying on its ability to customize navigation and data extraction, its relevance to the community, the quality and detail of the stored data and the up-to-date nature of the stored information.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12702}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Developmental Biology","Life Science","Transcriptomics"],"domains":["Regulation of gene expression","Binding motif","Transcription factor","Experimentally determined","Binding site"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":621,"pubmed_id":24234444,"title":"CollecTF: a database of experimentally validated transcription factor-binding sites in Bacteria","year":2013,"url":"http://doi.org/10.1093/nar/gkt1123","authors":"Kilic, Sefa; White, Elliot; Sagitova, Dinara; Cornish, Joseph; Erill, Ivan","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1123","created_at":"2021-09-30T08:23:28.327Z","updated_at":"2021-09-30T08:23:28.327Z"}],"licence_links":[],"grants":[{"id":1789,"fairsharing_record_id":2144,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:25:20.565Z","updated_at":"2021-09-30T09:25:20.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1788,"fairsharing_record_id":2144,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:20.538Z","updated_at":"2021-09-30T09:32:02.943Z","grant_id":1445,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB-1158056","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2140","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:10:12.386Z","metadata":{"doi":"10.25504/FAIRsharing.tgjsm4","name":"bNAber","status":"deprecated","contacts":[{"contact_name":"bNAber Support","contact_email":"support@bnaber.org"}],"homepage":"http://bnaber.org/","citations":[{"publication_id":609}],"identifier":2140,"description":"Discovery of Broadly Neutralizing Antibodies (bNAbs) has given a great boost to HIV vaccine research. Study of bNAbs capable of neutralizing a broad array of different HIV strains is important for a number of reasons: (i) structures of antigens co-crystallized with bNAbs are used as templates in HIV vaccine design; (ii) bNAbs can be effective as therapeutics; (iii) preventive use of bNAbs is a promising direction in AIDS care. The goal of bNAber is to collect, analyze, compare and present bNAbs data, thus helping researchers to create HIV vaccine.","abbreviation":"bNAber","data_curation":{"type":"not found"},"support_links":[{"url":"http://bnaber.org/?q=Help","name":"Help Pages","type":"Help documentation"},{"url":"http://bnaber.org/?q=node/12","name":"Information for Biologists","type":"Help documentation"},{"url":"http://bnaber.org/?q=node/153","name":"Statistics","type":"Help documentation"},{"url":"http://bnaber.org/?q=Use%20Cases","name":"Use Cases","type":"Training documentation"},{"url":"http://bnaber.org/?q=Walkthrough%20Videos","name":"Instructional Videos","type":"Training documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://bnaber.org/?q=node/115","name":"Analysis Tools"},{"url":"http://bnaber.org/?q=Structure%20Alignment%20Matrix","name":"Structure Alignment"},{"url":"http://bnaber.org/?q=NeutSandbox","name":"Neutralization Workbench"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000610","bsg-d000610"],"name":"FAIRsharing record for: bNAber","abbreviation":"bNAber","url":"https://fairsharing.org/10.25504/FAIRsharing.tgjsm4","doi":"10.25504/FAIRsharing.tgjsm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Discovery of Broadly Neutralizing Antibodies (bNAbs) has given a great boost to HIV vaccine research. Study of bNAbs capable of neutralizing a broad array of different HIV strains is important for a number of reasons: (i) structures of antigens co-crystallized with bNAbs are used as templates in HIV vaccine design; (ii) bNAbs can be effective as therapeutics; (iii) preventive use of bNAbs is a promising direction in AIDS care. The goal of bNAber is to collect, analyze, compare and present bNAbs data, thus helping researchers to create HIV vaccine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunogenetics","Immunology","Biomedical Science"],"domains":["Antibody","Structure","Sequence"],"taxonomies":["Homo sapiens","Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":609,"pubmed_id":null,"title":"bNAber: database of broadly neutralizing HIV antibodies","year":2014,"url":"https://doi.org/10.1093/nar/gkt1083","authors":"Alexey Eroshkin, Andrew LeBlanc, Dana Weekes, Kai Post, Zhanwen Li, Akhil Rajput, Sal T. Butera, Dennis R. Burton and Adam Godzik","journal":"Nucleic Acid Res. Database Issue","doi":null,"created_at":"2021-09-30T08:23:26.918Z","updated_at":"2021-09-30T11:28:41.069Z"}],"licence_links":[],"grants":[{"id":9038,"fairsharing_record_id":2140,"organisation_id":2487,"relation":"maintains","created_at":"2022-03-28T12:54:57.386Z","updated_at":"2022-03-28T12:54:57.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":2487,"name":"Sanford Burnham Prebys Medical Discovery Institute (SBP), La Jolla, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1772,"fairsharing_record_id":2140,"organisation_id":2831,"relation":"maintains","created_at":"2021-09-30T09:25:19.973Z","updated_at":"2021-09-30T09:25:19.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":2831,"name":"The Scripps Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1773,"fairsharing_record_id":2140,"organisation_id":2401,"relation":"maintains","created_at":"2021-09-30T09:25:20.009Z","updated_at":"2021-09-30T09:25:20.009Z","grant_id":null,"is_lead":false,"saved_state":{"id":2401,"name":"Ragon Institute","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1769,"fairsharing_record_id":2140,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:19.859Z","updated_at":"2021-09-30T09:30:30.958Z","grant_id":743,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01GM101457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8270,"fairsharing_record_id":2140,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:51.040Z","updated_at":"2021-09-30T09:31:51.096Z","grant_id":1355,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"UM1AI100663","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2141","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:40.076Z","metadata":{"doi":"10.25504/FAIRsharing.7qexb2","name":"Plant DNA C-values database","status":"ready","contacts":[{"contact_name":"Ilia Leitch","contact_email":"i.leitch@kew.org","contact_orcid":"0000-0002-3837-8186"}],"homepage":"https://cvalues.science.kew.org/","citations":[],"identifier":2141,"description":"A database containing genome size (C-value) data for all groups of land plants and red, green and brown algae.","abbreviation":"Plant C-Values","data_curation":{"type":"manual"},"support_links":[{"url":"dnac-value@kew.org","type":"Support email"},{"url":"https://cvalues.science.kew.org/introduction","name":"About","type":"Help documentation"}],"year_creation":2001,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000612","bsg-d000612"],"name":"FAIRsharing record for: Plant DNA C-values database","abbreviation":"Plant C-Values","url":"https://fairsharing.org/10.25504/FAIRsharing.7qexb2","doi":"10.25504/FAIRsharing.7qexb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database containing genome size (C-value) data for all groups of land plants and red, green and brown algae.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":607,"pubmed_id":17090588,"title":"Eukaryotic genome size databases","year":2006,"url":"http://doi.org/10.1093/nar/gkl828","authors":"Gregory TR, Nicol JA, Tamm H, Kullman B, Kullman K, Leitch IJ, Murray BG, Kapraun DF, Greilhuber J, Bennett MD.","journal":"Nucleic Acids Research 35 (Database issue): D332-D338.","doi":"10.1093/nar/gkl828","created_at":"2021-09-30T08:23:26.578Z","updated_at":"2021-09-30T08:23:26.578Z"},{"id":608,"pubmed_id":24288377,"title":"Recent updates and developments to plant genome size databases.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1195","authors":"Garcia S,Leitch IJ,Anadon-Rosell A,Canela MA,Galvez F,Garnatje T,Gras A,Hidalgo O,Johnston E,Mas de Xaxars G,Pellicer J,Siljak-Yakovlev S,Valles J,Vitales D,Bennett MD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1195","created_at":"2021-09-30T08:23:26.733Z","updated_at":"2021-09-30T11:28:48.117Z"}],"licence_links":[{"licence_name":"Kew Gardens Terms and Conditions","licence_id":479,"licence_url":"https://www.kew.org/terms-and-conditions","link_id":2816,"relation":"applies_to_content"},{"licence_name":"Privacy policy Kew Gardens","licence_id":973,"licence_url":"https://www.kew.org/about-us/reports-and-policies/privacy?_gl=1%2A6r2l0n%2A_ga%2ANzcyNTAyMTMyLjE2NjE3ODY1Nzc.%2A_ga_ZVV2HHW7P6%2AMTY2MTc4NjU3Ny4xLjEuMTY2MTc4NjgwNS4wLjAuMA..","link_id":2817,"relation":"applies_to_content"}],"grants":[{"id":1778,"fairsharing_record_id":2141,"organisation_id":168,"relation":"funds","created_at":"2021-09-30T09:25:20.197Z","updated_at":"2021-09-30T09:29:19.154Z","grant_id":193,"is_lead":false,"saved_state":{"id":168,"name":"Barcelona University, Barcelona, Spain","grant":"ADR-2011-38","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1780,"fairsharing_record_id":2141,"organisation_id":1615,"relation":"funds","created_at":"2021-09-30T09:25:20.253Z","updated_at":"2021-09-30T09:30:16.720Z","grant_id":633,"is_lead":false,"saved_state":{"id":1615,"name":"Juan de la Cierva, Madrid, Spain","grant":"JCI-2011-10124","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1781,"fairsharing_record_id":2141,"organisation_id":2832,"relation":"funds","created_at":"2021-09-30T09:25:20.279Z","updated_at":"2021-09-30T09:32:12.163Z","grant_id":1514,"is_lead":false,"saved_state":{"id":2832,"name":"The Spanish government","grant":"CGL2010-22234-C02-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1782,"fairsharing_record_id":2141,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:25:20.310Z","updated_at":"2021-09-30T09:30:14.391Z","grant_id":615,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"196468/V40","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1775,"fairsharing_record_id":2141,"organisation_id":1193,"relation":"funds","created_at":"2021-09-30T09:25:20.089Z","updated_at":"2021-09-30T09:32:17.196Z","grant_id":1548,"is_lead":false,"saved_state":{"id":1193,"name":"Government of Catalonia, Spain","grant":"2009SGR00439","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8881,"fairsharing_record_id":2141,"organisation_id":2971,"relation":"funds","created_at":"2022-02-13T19:02:11.741Z","updated_at":"2022-02-13T19:02:11.741Z","grant_id":333,"is_lead":false,"saved_state":{"id":2971,"name":"Universitat Autònoma de Barcelona","grant":"BP-2011-A-00292","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1777,"fairsharing_record_id":2141,"organisation_id":1853,"relation":"funds","created_at":"2021-09-30T09:25:20.165Z","updated_at":"2021-09-30T09:30:57.357Z","grant_id":951,"is_lead":false,"saved_state":{"id":1853,"name":"Ministerio de Educacion, Cultura y Deporte, Madrid, Spain","grant":"AP2008-03441","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1776,"fairsharing_record_id":2141,"organisation_id":2461,"relation":"maintains","created_at":"2021-09-30T09:25:20.126Z","updated_at":"2021-09-30T09:25:20.126Z","grant_id":null,"is_lead":false,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew, London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8061,"fairsharing_record_id":2141,"organisation_id":1615,"relation":"funds","created_at":"2021-09-30T09:30:42.263Z","updated_at":"2021-09-30T09:30:42.320Z","grant_id":830,"is_lead":false,"saved_state":{"id":1615,"name":"Juan de la Cierva, Madrid, Spain","grant":"JCI-2010-9432","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2146","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:52:51.116Z","metadata":{"doi":"10.25504/FAIRsharing.fssydn","name":"DisGeNET","status":"ready","contacts":[{"contact_name":"Laura I. Furlong","contact_email":"laura.furlong@upf.edu","contact_orcid":"0000-0002-9383-528X"}],"homepage":"http://www.disgenet.org","citations":[{"doi":null,"pubmed_id":null,"publication_id":2593}],"identifier":2146,"description":"DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v7.0) contains 1,134,942 gene-disease associations (GDAs), between 21,671 genes and 30,170 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 369,554 variant-disease associations (VDAs), between 194,515 variants and 14,155 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.","abbreviation":"DisGeNET","data_curation":{"url":"https://www.disgenet.org/app","type":"automated","notes":"Cytoscape text-mining annotation"},"support_links":[{"url":"support@disgenet.org","name":"Support","type":"Support email"},{"url":"http://www.disgenet.org/help","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.disgenet.org/dbinfo","type":"Help documentation"},{"url":"https://twitter.com/DisGeNET","type":"Twitter"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://www.disgenet.org","name":"browse"},{"url":"http://rdf.disgenet.org/fct/","name":"Faceted Browser"},{"url":"https://apps.cytoscape.org/apps/disgenetapp","name":"DisGeNET Cytoscape App 7.0"},{"url":"https://bitbucket.org/ibi_group/disgenet2r","name":"disgenet2r 0.99.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013301","name":"re3data:r3d100013301","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006178","name":"SciCrunch:RRID:SCR_006178","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000618","bsg-d000618"],"name":"FAIRsharing record for: DisGeNET","abbreviation":"DisGeNET","url":"https://fairsharing.org/10.25504/FAIRsharing.fssydn","doi":"10.25504/FAIRsharing.fssydn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v7.0) contains 1,134,942 gene-disease associations (GDAs), between 21,671 genes and 30,170 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 369,554 variant-disease associations (VDAs), between 194,515 variants and 14,155 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11362},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11887},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12320},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12703}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Human Genetics","Life Science","Biomedical Science"],"domains":["Mutation","Genetic polymorphism","Disease","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19","Interoperability"],"countries":["Spain"],"publications":[{"id":791,"pubmed_id":25877637,"title":"DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes","year":2015,"url":"http://doi.org/10.1093/database/bav028","authors":"Piñero J, Queralt-Rosinach N, Bravo A, Deu-Pons J, Bauer-Mehren A, Baron M, Sanz F, Furlong LI","journal":"Database","doi":"10.1093/database/bav028","created_at":"2021-09-30T08:23:47.179Z","updated_at":"2021-09-30T08:23:47.179Z"},{"id":1424,"pubmed_id":20861032,"title":"DisGeNET: a Cytoscape plugin to visualize, integrate, search and analyze gene–disease networks","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq538","authors":"Bauer-Mehren A, Rautschka M, Sanz F, Furlong LI.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq538","created_at":"2021-09-30T08:24:59.173Z","updated_at":"2021-09-30T11:28:40.674Z"},{"id":1649,"pubmed_id":21695124,"title":"Gene-disease network analysis reveals functional modules in mendelian, complex and environmental diseases","year":2011,"url":"http://doi.org/10.1371/journal.pone.0020284","authors":"Bauer-Mehren A, Bundschus M, Rautschka M, Mayer MA, Sanz F, Furlong LI.","journal":"PLoS One","doi":"10.1371/journal.pone.0020284","created_at":"2021-09-30T08:25:24.754Z","updated_at":"2021-09-30T08:25:24.754Z"},{"id":2488,"pubmed_id":27924018,"title":"DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants","year":2016,"url":"http://doi.org/10.1093/nar/gkw943","authors":"Piñero J, Bravo À, Queralt-Rosinach N, Gutiérrez-Sacristán A, Deu-Pons J, Centeno E, García-García J, Sanz F, Furlong LI.","journal":"Nucleic Acid Research","doi":"10.1093/nar/gkw943","created_at":"2021-09-30T08:27:05.045Z","updated_at":"2021-09-30T08:27:05.045Z"},{"id":2593,"pubmed_id":null,"title":"The DisGeNET cytoscape app: Exploring and visualizing disease genomics data","year":2021,"url":"https://doi.org/10.1016/j.csbj.2021.05.015","authors":"Janet Piñero, Josep Saüch, Ferran Sanz, Laura I.Furlong","journal":"Computational and Structural Biotechnology Journal","doi":null,"created_at":"2021-09-30T08:27:18.179Z","updated_at":"2021-09-30T08:27:18.179Z"},{"id":3002,"pubmed_id":31680165,"title":"The DisGeNET knowledge platform for disease genomics: 2019 update.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1021","authors":"Pinero J,Ramirez-Anguita JM,Sauch-Pitarch J,Ronzano F,Centeno E,Sanz F,Furlong LI","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1021","created_at":"2021-09-30T08:28:10.114Z","updated_at":"2021-09-30T11:29:49.489Z"}],"licence_links":[{"licence_name":"Disgenet Open Database License","licence_id":245,"licence_url":"http://www.disgenet.org/legal","link_id":1701,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1702,"relation":"undefined"}],"grants":[{"id":8293,"fairsharing_record_id":2146,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:31:56.382Z","updated_at":"2021-09-30T09:31:56.432Z","grant_id":1396,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115191","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1793,"fairsharing_record_id":2146,"organisation_id":2433,"relation":"funds","created_at":"2021-09-30T09:25:20.718Z","updated_at":"2021-09-30T09:25:20.718Z","grant_id":null,"is_lead":false,"saved_state":{"id":2433,"name":"Research Programme on Biomedical Informatics (IMIM, UPF)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1794,"fairsharing_record_id":2146,"organisation_id":1461,"relation":"maintains","created_at":"2021-09-30T09:25:20.760Z","updated_at":"2021-09-30T09:25:20.760Z","grant_id":null,"is_lead":false,"saved_state":{"id":1461,"name":"Integrative Biomedical Informatics Group (IBI), Research Programme on Biomedical Informatics (GRIB) IMIM-UPF, Barcelona, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1792,"fairsharing_record_id":2146,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:25:20.681Z","updated_at":"2021-09-30T09:29:39.376Z","grant_id":345,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115002","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1795,"fairsharing_record_id":2146,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:25:20.802Z","updated_at":"2021-09-30T09:31:49.310Z","grant_id":1342,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"CP10/00524","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8394,"fairsharing_record_id":2146,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:32:26.477Z","updated_at":"2021-09-30T09:32:26.537Z","grant_id":1621,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PI13/00082","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2147","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-14T09:32:45.714Z","metadata":{"doi":"10.25504/FAIRsharing.qv0f6x","name":"Manually Curated Database of Rice Proteins","status":"deprecated","contacts":[{"contact_name":"Saurabh Raghuvanshi","contact_email":"saurabh@genomeindia.org"}],"homepage":"http://www.genomeindia.org/biocuration","citations":[],"identifier":2147,"description":"The Manually Curated Database of Rice Proteins (MCDRP) is a manually-curated database based on published experimental data. The database contains data for rice proteins curated from experiments drawn from research articles. The database stores information including gene name, plant type, tissue and developmental stage. The homepage for this resource could not be loaded. Please contact us if you have any information regarding the current status of this resource.","abbreviation":"MCDRP","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genomeindia.org/biocuration/usr/feedback.php","type":"Contact form"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2024-06-14","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000619","bsg-d000619"],"name":"FAIRsharing record for: Manually Curated Database of Rice Proteins","abbreviation":"MCDRP","url":"https://fairsharing.org/10.25504/FAIRsharing.qv0f6x","doi":"10.25504/FAIRsharing.qv0f6x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Manually Curated Database of Rice Proteins (MCDRP) is a manually-curated database based on published experimental data. The database contains data for rice proteins curated from experiments drawn from research articles. The database stores information including gene name, plant type, tissue and developmental stage. The homepage for this resource could not be loaded. Please contact us if you have any information regarding the current status of this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany"],"domains":["Annotation","Protein interaction","Curated information","Digital curation","Protein","Literature curation","Biocuration"],"taxonomies":["Oryza sativa"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":617,"pubmed_id":24214963,"title":"Manually Curated Database of Rice Proteins","year":2013,"url":"http://doi.org/10.1093/nar/gkt1072","authors":"Gour P, Garg P, Jain R, Joseph SV, Tyagi AK, Raghuvanshi S.","journal":"Nucleic Acids Researh","doi":"10.1093/nar/gkt1072","created_at":"2021-09-30T08:23:27.903Z","updated_at":"2021-09-30T08:23:27.903Z"}],"licence_links":[],"grants":[{"id":1796,"fairsharing_record_id":2147,"organisation_id":3048,"relation":"maintains","created_at":"2021-09-30T09:25:20.839Z","updated_at":"2021-09-30T09:25:20.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":3048,"name":"University of Delhi, India","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1797,"fairsharing_record_id":2147,"organisation_id":686,"relation":"funds","created_at":"2021-09-30T09:25:20.872Z","updated_at":"2021-09-30T09:25:20.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":686,"name":"Department of Biotechnology, Ministry of Science and Technology, India","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2151","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:04.167Z","metadata":{"doi":"10.25504/FAIRsharing.rm14bx","name":"NeuroVault","status":"ready","contacts":[{"contact_name":"Chris Gorgolewski","contact_email":"krzysztof.gorgolewski@gmail.com","contact_orcid":"0000-0003-3321-7583"}],"homepage":"https://neurovault.org/","citations":[],"identifier":2151,"description":"The purpose of this database is to collect and distribute statistical maps of the human brain. Such maps are acquired by scientist all around the world using brain imaging techniques such as MRI or PET in a combined effort to map the functions and structures of the brain.","abbreviation":"NeuroVault","data_curation":{"type":"not found"},"support_links":[{"url":"http://neurovault.org/FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://neurostars.org/tag/neurovault","type":"Forum"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/NeuroVault/pyneurovault","name":"pyneurovault"},{"url":"http://www.neurosynth.org","name":"Neurosynth"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012842","name":"re3data:r3d100012842","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://neurovault.org/FAQ","name":"All of NeuroVault is backed up daily into off site storage. In addition all of the public collections that have been associated with a paper (through the DOI field) will be archived in Stanford Digital Repository (SDR). This operation is performed in bulk twice a year and ensures long term preservation of maps deposited in NeuroVault."},"data_deposition_condition":{"url":"https://neurovault.org/accounts/login/?next=/collections/new","type":"open","notes":"Registration required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000623","bsg-d000623"],"name":"FAIRsharing record for: NeuroVault","abbreviation":"NeuroVault","url":"https://fairsharing.org/10.25504/FAIRsharing.rm14bx","doi":"10.25504/FAIRsharing.rm14bx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of this database is to collect and distribute statistical maps of the human brain. Such maps are acquired by scientist all around the world using brain imaging techniques such as MRI or PET in a combined effort to map the functions and structures of the brain.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10979}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Functional magnetic resonance imaging","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","Germany","United Kingdom","United States"],"publications":[{"id":778,"pubmed_id":25914639,"title":"NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain.","year":2015,"url":"http://doi.org/10.3389/fninf.2015.00008","authors":"Gorgolewski KJ,Varoquaux G,Rivera G,Schwarz Y,Ghosh SS,Maumet C,Sochat VV,Nichols TE,Poldrack RA,Poline JB,Yarkoni T,Margulies DS","journal":"Front Neuroinform","doi":"10.3389/fninf.2015.00008","created_at":"2021-09-30T08:23:45.728Z","updated_at":"2021-09-30T08:23:45.728Z"},{"id":1020,"pubmed_id":25869863,"title":"NeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain.","year":2015,"url":"http://doi.org/S1053-8119(15)00306-7","authors":"Gorgolewski KJ, Varoquaux G, Rivera G, Schwartz Y, Sochat VV, Ghosh SS, Maumet C, Nichols TE, Poline JB, Yarkoni T, Margulies DS, Poldrack RA","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2015.04.016","created_at":"2021-09-30T08:24:12.965Z","updated_at":"2021-09-30T08:24:12.965Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2433,"relation":"undefined"}],"grants":[{"id":1804,"fairsharing_record_id":2151,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:25:21.106Z","updated_at":"2021-09-30T09:25:21.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1809,"fairsharing_record_id":2151,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:21.244Z","updated_at":"2021-09-30T09:29:47.014Z","grant_id":400,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCI-1131441","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1808,"fairsharing_record_id":2151,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:21.213Z","updated_at":"2021-09-30T09:31:08.052Z","grant_id":1032,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"100309","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1805,"fairsharing_record_id":2151,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:25:21.129Z","updated_at":"2021-09-30T09:25:21.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1806,"fairsharing_record_id":2151,"organisation_id":1785,"relation":"maintains","created_at":"2021-09-30T09:25:21.160Z","updated_at":"2021-09-30T09:25:21.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1785,"name":"Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1810,"fairsharing_record_id":2151,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:21.285Z","updated_at":"2021-09-30T09:30:50.941Z","grant_id":900,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01MH096906","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8459,"fairsharing_record_id":2151,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:44.193Z","updated_at":"2021-09-30T09:32:44.246Z","grant_id":1755,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"T15 LM007033","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12029,"fairsharing_record_id":2151,"organisation_id":2622,"relation":"maintains","created_at":"2024-07-08T14:51:32.071Z","updated_at":"2024-07-08T14:51:32.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":2622,"name":"Stanford Libraries, Stanford University, Stanford, California, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2152","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:13.356Z","metadata":{"doi":"10.25504/FAIRsharing.y6w78m","name":"Coherent X-ray Imaging Data Bank","status":"ready","contacts":[{"contact_name":"Filipe Maia","contact_email":"filipe@xray.bmc.uu.se","contact_orcid":"0000-0002-2141-438X"}],"homepage":"http://cxidb.org/","citations":[],"identifier":2152,"description":"The Coherent X-ray Imaging Data Bank (CXIDB) offers scientists from all over the world a unique opportunity to access data from Coherent X-ray Imaging (CXI) experiments. It arose from the need to share the terabytes of data generated from X-ray free-electron laser experiments although it caters to all light sources. Accessibility is crucial not only to make efficient use of experimental facilities, but also to improve the reproducibility of results and enable new research based on previous experiments.","abbreviation":"CXIDB","data_curation":{"url":"https://raw.githubusercontent.com/cxidb/CXI/master/cxi_file_format.pdf","type":"manual/automated"},"support_links":[{"url":"cxidb@cxidb.org","type":"Support email"},{"url":"https://groups.google.com/forum/#!forum/cxidb","type":"Forum"},{"url":"cxidb@googlegroups.com","type":"Mailing list"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://cxidb.org/resources.html#unit_conversion","name":"Light to Energy Unit Conversion"},{"url":"https://github.com/antonbarty/cheetah","name":"Cheetah"},{"url":"https://www.desy.de/~twhite/crystfel/development.html","name":"CrystFEL 0.9.1"},{"url":"https://github.com/FXIhub/spsim","name":"Spsim"},{"url":"https://github.com/FXIhub/hawk","name":"Hawk"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011554","name":"re3data:r3d100011554","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014722","name":"SciCrunch:RRID:SCR_014722","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.cxidb.org/browse.html","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cxidb.org/deposit.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000624","bsg-d000624"],"name":"FAIRsharing record for: Coherent X-ray Imaging Data Bank","abbreviation":"CXIDB","url":"https://fairsharing.org/10.25504/FAIRsharing.y6w78m","doi":"10.25504/FAIRsharing.y6w78m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Coherent X-ray Imaging Data Bank (CXIDB) offers scientists from all over the world a unique opportunity to access data from Coherent X-ray Imaging (CXI) experiments. It arose from the need to share the terabytes of data generated from X-ray free-electron laser experiments although it caters to all light sources. Accessibility is crucial not only to make efficient use of experimental facilities, but also to improve the reproducibility of results and enable new research based on previous experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10980}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Organic Chemistry","Life Science"],"domains":["Molecular structure","X-ray diffraction","Imaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden","United States"],"publications":[{"id":647,"pubmed_id":22936162,"title":"The Coherent X-ray Imaging Data Bank","year":2012,"url":"http://doi.org/10.1038/nmeth.2110","authors":"Maia, F. R. N. C.","journal":"Nat. Methods","doi":"doi:10.1038/nmeth.2110","created_at":"2021-09-30T08:23:31.213Z","updated_at":"2021-09-30T08:23:31.213Z"}],"licence_links":[],"grants":[{"id":1816,"fairsharing_record_id":2152,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:25:21.516Z","updated_at":"2021-09-30T09:25:21.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1811,"fairsharing_record_id":2152,"organisation_id":1985,"relation":"maintains","created_at":"2021-09-30T09:25:21.327Z","updated_at":"2021-09-30T09:25:21.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":1985,"name":"National Energy Research Scientific Computing Center (NERSC), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1813,"fairsharing_record_id":2152,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:25:21.399Z","updated_at":"2021-09-30T09:25:21.399Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1814,"fairsharing_record_id":2152,"organisation_id":2672,"relation":"funds","created_at":"2021-09-30T09:25:21.435Z","updated_at":"2021-09-30T09:25:21.435Z","grant_id":null,"is_lead":false,"saved_state":{"id":2672,"name":"Swedish Foundation for Strategic Research, Stockholm, Sweden","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1815,"fairsharing_record_id":2152,"organisation_id":2524,"relation":"funds","created_at":"2021-09-30T09:25:21.477Z","updated_at":"2021-09-30T09:25:21.477Z","grant_id":null,"is_lead":false,"saved_state":{"id":2524,"name":"Scientific Discovery Through Advanced Computing, U.S. Department of Energy, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9397,"fairsharing_record_id":2152,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.650Z","updated_at":"2022-04-11T12:07:35.650Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2149","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:26.535Z","metadata":{"doi":"10.25504/FAIRsharing.qw7qtk","name":"The MOuse NOnCode Lung database","status":"ready","contacts":[{"contact_email":"support@monocldb.org"}],"homepage":"https://www.monocldb.org","citations":[],"identifier":2149,"description":"MONOCLdb is an integrative and interactive database designed to retrieve and visualize annotations and expression profiles of long-non coding RNAs (lncRNAs) expressed in Collaborative Cross (http://compgen.unc.edu/) founder mice in response to respiratory influenza and SARS infections.","abbreviation":"MONOCLdb","data_curation":{"url":"https://www.monocldb.org/index.php?page=about","type":"automated","notes":"Using annotation computational methods"},"support_links":[{"url":"http://www.monocldb.org/About","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"https://www.monocldb.org/index.php?page=expression-heatmap","name":"Expression Heatmap"},{"url":"https://www.monocldb.org/index.php?page=module-based-enrichment","name":"Module-based Enrichment"},{"url":"https://www.monocldb.org/index.php?page=rank-based-enrichment","name":"Rank-based Enrichment"},{"url":"https://www.monocldb.org/index.php?page=co-expression-network","name":"Co-expression Network"},{"url":"https://www.monocldb.org/index.php?page=genomic-annotations","name":"Genomic Annotations"},{"url":"https://www.monocldb.org/index.php?page=pathogenicity-association","name":"Pathogenicity Association"},{"url":"https://www.monocldb.org/index.php?page=distributed-annotation-system","name":"Distributed Annotation System"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000621","bsg-d000621"],"name":"FAIRsharing record for: The MOuse NOnCode Lung database","abbreviation":"MONOCLdb","url":"https://fairsharing.org/10.25504/FAIRsharing.qw7qtk","doi":"10.25504/FAIRsharing.qw7qtk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MONOCLdb is an integrative and interactive database designed to retrieve and visualize annotations and expression profiles of long-non coding RNAs (lncRNAs) expressed in Collaborative Cross (http://compgen.unc.edu/) founder mice in response to respiratory influenza and SARS infections.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12704}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics"],"domains":["RNA sequence","Gene Ontology enrichment","Molecular interaction","Genetic interaction","Genome","Long non-coding RNA"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBajRCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a810799a16fc9d8705a6bb7851a208306bc41f48/mono.png?disposition=inline","exhaustive_licences":false}},{"id":"2153","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:13.245Z","metadata":{"doi":"10.25504/FAIRsharing.ajpk6x","name":"International Neuroimaging Data-Sharing Initiative","status":"ready","contacts":[{"contact_name":"Michael Milham","contact_email":"michael.milham@childmind.org","contact_orcid":"0000-0003-3532-1210"}],"homepage":"http://fcon_1000.projects.nitrc.org/","citations":[],"identifier":2153,"description":"Database for open data sharing of resting-state fMRI and DTI images collected from over 50 sites around the world. These data collections now contain comprehensive phentoypic information, openly available via data usage agreements.","abbreviation":"INDI","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.nitrc.org/forum/?group_id=296","type":"Forum"},{"url":"https://www.nitrc.org/plugins/mwiki/index.php/fcon_1000:MainPage","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://fcp-indi.github.io/","name":"C-PAC 0.33"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011555","name":"re3data:r3d100011555","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_015771","name":"SciCrunch:RRID:SCR_015771","portal":"SciCrunch"}],"data_access_condition":{"url":"https://fcon_1000.projects.nitrc.org/","type":"open","notes":"Registration required to access data"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.nitrc.org/plugins/mwiki/index.php?title=fcon_1000:Contrib","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000625","bsg-d000625"],"name":"FAIRsharing record for: International Neuroimaging Data-Sharing Initiative","abbreviation":"INDI","url":"https://fairsharing.org/10.25504/FAIRsharing.ajpk6x","doi":"10.25504/FAIRsharing.ajpk6x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database for open data sharing of resting-state fMRI and DTI images collected from over 50 sites around the world. These data collections now contain comprehensive phentoypic information, openly available via data usage agreements.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10981},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11104}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Functional magnetic resonance imaging","Diffusion tensor imaging","Phenotype","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","China","Germany","Netherlands","United States"],"publications":[{"id":625,"pubmed_id":23123682,"title":"Making data sharing work: the FCP/INDI experience.","year":2012,"url":"http://doi.org/10.1016/j.neuroimage.2012.10.064","authors":"Mennes M, Biswal BB, Castellanos FX, Milham MP","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2012.10.064","created_at":"2021-09-30T08:23:28.726Z","updated_at":"2021-09-30T08:23:28.726Z"},{"id":1843,"pubmed_id":22284177,"title":"Open neuroscience solutions for the connectome-wide association era.","year":2012,"url":"http://doi.org/10.1016/j.neuron.2011.11.004","authors":"Milham MP","journal":"Neuron","doi":"10.1016/j.neuron.2011.11.004.","created_at":"2021-09-30T08:25:46.981Z","updated_at":"2021-09-30T08:25:46.981Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":2436,"relation":"undefined"}],"grants":[{"id":1818,"fairsharing_record_id":2153,"organisation_id":1943,"relation":"maintains","created_at":"2021-09-30T09:25:21.592Z","updated_at":"2021-09-30T09:25:21.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1943,"name":"Nathan S. Kline Institute for Psychiatric Research (NKI), Orangeburg, NY, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1817,"fairsharing_record_id":2153,"organisation_id":2037,"relation":"maintains","created_at":"2021-09-30T09:25:21.552Z","updated_at":"2021-09-30T09:25:21.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":2037,"name":"National Institutes of Health (NIH) Blueprint for Neuroscience Research, Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1819,"fairsharing_record_id":2153,"organisation_id":504,"relation":"funds","created_at":"2021-09-30T09:25:21.622Z","updated_at":"2021-09-30T09:25:21.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":504,"name":"Child Mind Institute, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2154","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:30.182Z","metadata":{"doi":"10.25504/FAIRsharing.kj4pvk","name":"SciCrunch Data Dashboard","status":"ready","contacts":[{"contact_email":"info@scicrunch.org"}],"homepage":"https://scicrunch.org/browse/datadashboard","citations":[],"identifier":2154,"description":"The SciCrunch Data Dashboard is a data sharing and display platform that pulls information from primary data repositories. Anyone can create a custom portal where they can select searchable subsets of hundreds of data sources, brand their web pages and create their community. SciCrunch will push data updates automatically to all portals on a weekly basis. SciCrunch resource registry is the new name of the NIF registry. ","abbreviation":"SciCrunch","data_curation":{"type":"not found"},"support_links":[{"url":"https://scicrunch.org/page/tutorials","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://scicrunch.org/browse/datadashboard","type":"controlled","notes":"Sharing new databases via email"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000626","bsg-d000626"],"name":"FAIRsharing record for: SciCrunch Data Dashboard","abbreviation":"SciCrunch","url":"https://fairsharing.org/10.25504/FAIRsharing.kj4pvk","doi":"10.25504/FAIRsharing.kj4pvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SciCrunch Data Dashboard is a data sharing and display platform that pulls information from primary data repositories. Anyone can create a custom portal where they can select searchable subsets of hundreds of data sources, brand their web pages and create their community. SciCrunch will push data updates automatically to all portals on a weekly basis. SciCrunch resource registry is the new name of the NIF registry. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science"],"domains":["Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1283,"pubmed_id":26599696,"title":"The Resource Identification Initiative: A Cultural Shift in Publishing.","year":2015,"url":"http://doi.org/10.1002/cne.23913","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan SC,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"J Comp Neurol","doi":"10.1002/cne.23913","created_at":"2021-09-30T08:24:43.216Z","updated_at":"2021-09-30T08:24:43.216Z"}],"licence_links":[{"licence_name":"SciCrunch Terms of Service","licence_id":735,"licence_url":"https://scicrunch.org/page/terms","link_id":3019,"relation":"applies_to_content"}],"grants":[{"id":1820,"fairsharing_record_id":2154,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:21.649Z","updated_at":"2021-09-30T09:25:21.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10211,"fairsharing_record_id":2154,"organisation_id":989,"relation":"maintains","created_at":"2022-12-06T09:23:18.349Z","updated_at":"2022-12-06T09:23:18.349Z","grant_id":null,"is_lead":true,"saved_state":{"id":989,"name":"FAIR Data Informatics Laboratory","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2150","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:03.112Z","metadata":{"doi":"10.25504/FAIRsharing.17z0yf","name":"iSpyBio","status":"ready","contacts":[{"contact_name":"Tillmann Ziegert","contact_email":"tillmann.ziegert@biorbyt.com"}],"homepage":"http://www.ispybio.com/","identifier":2150,"description":"iSpyBio is an intelligent and unbiased search engine for Life scientists. It ranks reagents by the number of data such as publications, reviews, characterization images and tested applications. It displays over 500,000 reagents such as antibodies, proteins, ELISA kits and biomolecules. iSpyBio’s proprietary search algorithm is unique and rapidly analyzes the end-users search query against its large database. Powerful filters allow the user to enhance the search results, for example if they want a protein expressed in yeast or an antibody that only works in mouse. As iSpyBio syncs with supplier and other public databases, it is always up-to-date. This allows iSpyBio to exclude out of stock items but show the most recent testing results and peer-reviewed publications.","abbreviation":"iSpyBio","data_curation":{"type":"manual/automated"},"support_links":[{"url":"info@ispybio.com","type":"Support email"},{"url":"https://twitter.com/iSpyBio","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000622","bsg-d000622"],"name":"FAIRsharing record for: iSpyBio","abbreviation":"iSpyBio","url":"https://fairsharing.org/10.25504/FAIRsharing.17z0yf","doi":"10.25504/FAIRsharing.17z0yf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iSpyBio is an intelligent and unbiased search engine for Life scientists. It ranks reagents by the number of data such as publications, reviews, characterization images and tested applications. It displays over 500,000 reagents such as antibodies, proteins, ELISA kits and biomolecules. iSpyBio’s proprietary search algorithm is unique and rapidly analyzes the end-users search query against its large database. Powerful filters allow the user to enhance the search results, for example if they want a protein expressed in yeast or an antibody that only works in mouse. As iSpyBio syncs with supplier and other public databases, it is always up-to-date. This allows iSpyBio to exclude out of stock items but show the most recent testing results and peer-reviewed publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Reagent","Antibody","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"iSpyBio Privacy Policy","licence_id":459,"licence_url":"http://www.ispybio.com/search/privacy","link_id":829,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2237","type":"fairsharing_records","attributes":{"created_at":"2015-11-20T07:45:08.000Z","updated_at":"2023-12-15T10:32:31.653Z","metadata":{"doi":"10.25504/FAIRsharing.q33qzy","name":"HGTree","status":"ready","contacts":[{"contact_name":"Arshan Nasir","contact_email":"arshan_nasir@comsats.edu.pk","contact_orcid":"0000-0001-7200-0788"}],"homepage":"http://hgtree.snu.ac.kr","identifier":2237,"description":"The HGTree database provides putative genome-wide horizontal gene transfer (HGT) information for 2,472 completely sequenced prokaryotic genomes. HGT detection is based on an explicit evolutionary model of tree reconstruction and relies on evaluating the conflicts between phylogenetic tree of each orthologous gene set and corresponding 16S rRNA species tree. The database provides quick and easy access to HGT-related genes in hundreds of prokaryotic genomes and provides functionalities to detect HGT in user-customized datasets and gene and genome sequences. The database is freely available and can be easily scaled and updated to keep pace with the rapid rise in genomic information.","abbreviation":"HGTree","data_curation":{"url":"http://hgtree.snu.ac.kr/background.php?access=b","type":"automated"},"support_links":[{"url":"http://hgtree.snu.ac.kr/tutorial.php?access=t","type":"Training documentation"},{"url":"https://twitter.com/NasirArshan","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000711","bsg-d000711"],"name":"FAIRsharing record for: HGTree","abbreviation":"HGTree","url":"https://fairsharing.org/10.25504/FAIRsharing.q33qzy","doi":"10.25504/FAIRsharing.q33qzy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HGTree database provides putative genome-wide horizontal gene transfer (HGT) information for 2,472 completely sequenced prokaryotic genomes. HGT detection is based on an explicit evolutionary model of tree reconstruction and relies on evaluating the conflicts between phylogenetic tree of each orthologous gene set and corresponding 16S rRNA species tree. The database provides quick and easy access to HGT-related genes in hundreds of prokaryotic genomes and provides functionalities to detect HGT in user-customized datasets and gene and genome sequences. The database is freely available and can be easily scaled and updated to keep pace with the rapid rise in genomic information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Phylogenetics","Life Science","Microbiology"],"domains":[],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["Pakistan","South Korea"],"publications":[{"id":872,"pubmed_id":null,"title":"HGTree: database of horizontally transferred genes determined by tree reconciliation","year":2015,"url":"http://doi.org/10.1093/nar/gkv1245","authors":"Hyeonsoo Jeong, Samsun Sung, Taehyung Kwon, Minseok Seo, Kelsey Caetano-Anollés, Sang Ho Choi5, Seoae Cho, Arshan Nasir, and Heebal Kim","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1245","created_at":"2021-09-30T08:23:56.321Z","updated_at":"2021-09-30T08:23:56.321Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":917,"relation":"undefined"}],"grants":[{"id":2080,"fairsharing_record_id":2237,"organisation_id":1245,"relation":"funds","created_at":"2021-09-30T09:25:31.213Z","updated_at":"2021-09-30T09:25:31.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":1245,"name":"Higher Education Commission, Pakistan","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2079,"fairsharing_record_id":2237,"organisation_id":1867,"relation":"funds","created_at":"2021-09-30T09:25:31.179Z","updated_at":"2021-09-30T09:31:25.450Z","grant_id":1163,"is_lead":false,"saved_state":{"id":1867,"name":"Ministry of Food and Drug Safety, South Korea","grant":"14162MFDS 972","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2077,"fairsharing_record_id":2237,"organisation_id":2547,"relation":"maintains","created_at":"2021-09-30T09:25:31.121Z","updated_at":"2021-09-30T09:25:31.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":2547,"name":"Seoul National University, South Korea","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2078,"fairsharing_record_id":2237,"organisation_id":593,"relation":"maintains","created_at":"2021-09-30T09:25:31.150Z","updated_at":"2021-09-30T09:25:31.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":593,"name":"Comsats Institute of Information Technology (CIIT), Islamabad, Pakistan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2238","type":"fairsharing_records","attributes":{"created_at":"2015-11-24T15:42:14.000Z","updated_at":"2024-05-09T08:40:50.698Z","metadata":{"doi":"10.25504/FAIRsharing.8bva0r","name":"BioXpress","status":"deprecated","contacts":[{"contact_name":"Quan Wan","contact_email":"wanquan@gwmail.gwu.edu"}],"homepage":"https://hive.biochemistry.gwu.edu/tools/bioxpress/","citations":[],"identifier":2238,"description":"BioXpress is a curated gene expression and disease association database where the expression levels are mapped to genes.","abbreviation":"BioXpress","data_curation":{"type":"not found"},"support_links":[{"url":"https://hive.biochemistry.gwu.edu/hive.cgi?cmd=contact","type":"Contact form"},{"url":"https://hive.biochemistry.gwu.edu/hive.cgi?cmd=main-about#training","type":"Training documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2024-05-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000712","bsg-d000712"],"name":"FAIRsharing record for: BioXpress","abbreviation":"BioXpress","url":"https://fairsharing.org/10.25504/FAIRsharing.8bva0r","doi":"10.25504/FAIRsharing.8bva0r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioXpress is a curated gene expression and disease association database where the expression levels are mapped to genes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12730}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["Expression data","Ribonucleic acid","Next generation DNA sequencing"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":880,"pubmed_id":25819073,"title":"BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis.","year":2015,"url":"http://doi.org/10.1093/database/bav019","authors":"Quan Wan","journal":"Database (Oxford).","doi":"10.1093/database/bav019","created_at":"2021-09-30T08:23:57.137Z","updated_at":"2021-09-30T08:23:57.137Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":914,"relation":"undefined"}],"grants":[{"id":2082,"fairsharing_record_id":2238,"organisation_id":1130,"relation":"maintains","created_at":"2021-09-30T09:25:31.269Z","updated_at":"2021-09-30T09:25:31.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":1130,"name":"George Washington University, DC, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2081,"fairsharing_record_id":2238,"organisation_id":802,"relation":"funds","created_at":"2021-09-30T09:25:31.246Z","updated_at":"2021-09-30T09:29:19.486Z","grant_id":196,"is_lead":false,"saved_state":{"id":802,"name":"Early Detection Research Network (EDRN), National Cancer Institute (NCI), USA","grant":"156620","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2239","type":"fairsharing_records","attributes":{"created_at":"2015-11-27T02:05:56.000Z","updated_at":"2023-12-15T10:32:18.129Z","metadata":{"doi":"10.25504/FAIRsharing.bya6z","name":"Super-Enhancer Archive","status":"ready","contacts":[{"contact_name":"Yan Zhang","contact_email":"tyozhang@ems.hrbmu.edu.cn"}],"homepage":"http://sea.edbc.org/","identifier":2239,"description":"SEA (Super-Enhancer Archive) is a web-based comprehensive resource focusing on the collection, storage and online analysis of super-enhancers. It focuses on integrating super-enhancers in multiple species and annotating their potential roles in the regulation of cell identity gene expression. To facilitate data extraction, SEA supports multiple search options, including species, genome location, gene name, cell type/tissue, and super-enhancer name.","abbreviation":"SEA","data_curation":{"url":"http://sea.edbc.org/","type":"automated"},"support_links":[{"url":"http://www.bio-bigdata.com/SEA/contact.html","type":"Contact form"},{"url":"http://www.bio-bigdata.com/SEA/help.html","type":"Help documentation"},{"url":"http://www.bio-bigdata.com/SEA/docs/","type":"Help documentation"}],"data_versioning":"no","associated_tools":[{"url":"http://www.bio-bigdata.com/SEA/analyze.html","name":"Data Analysis 1.0"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000713","bsg-d000713"],"name":"FAIRsharing record for: Super-Enhancer Archive","abbreviation":"SEA","url":"https://fairsharing.org/10.25504/FAIRsharing.bya6z","doi":"10.25504/FAIRsharing.bya6z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SEA (Super-Enhancer Archive) is a web-based comprehensive resource focusing on the collection, storage and online analysis of super-enhancers. It focuses on integrating super-enhancers in multiple species and annotating their potential roles in the regulation of cell identity gene expression. To facilitate data extraction, SEA supports multiple search options, including species, genome location, gene name, cell type/tissue, and super-enhancer name.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12731}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Epigenetics","Bioinformatics","Life Science"],"domains":["Taxonomic classification","Enhancer","Regulation of gene expression","Transcription factor","Chromatin immunoprecipitation - DNA sequencing"],"taxonomies":["All","Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":884,"pubmed_id":26578594,"title":"SEA: a super-enhancer archive.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1243","authors":"Yanjun Wei, Shumei Zhang, Shipeng Shang, Bin Zhang, Song Li, Xinyu Wang, Fang Wang, Jianzhong Su, Qiong Wu, Hongbo Liu, Yan Zhang*","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkv1243","created_at":"2021-09-30T08:23:57.621Z","updated_at":"2021-09-30T08:23:57.621Z"}],"licence_links":[],"grants":[{"id":9061,"fairsharing_record_id":2239,"organisation_id":554,"relation":"funds","created_at":"2022-03-29T17:10:44.285Z","updated_at":"2022-03-29T17:10:44.285Z","grant_id":782,"is_lead":false,"saved_state":{"id":554,"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China","grant":"YJSCX2014–23HYD","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2084,"fairsharing_record_id":2239,"organisation_id":554,"relation":"maintains","created_at":"2021-09-30T09:25:31.319Z","updated_at":"2021-09-30T09:25:31.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":554,"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2089,"fairsharing_record_id":2239,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:25:31.445Z","updated_at":"2021-09-30T09:25:31.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2085,"fairsharing_record_id":2239,"organisation_id":554,"relation":"funds","created_at":"2021-09-30T09:25:31.344Z","updated_at":"2021-09-30T09:29:11.727Z","grant_id":134,"is_lead":false,"saved_state":{"id":554,"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China","grant":"2015RAXXJ052","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2083,"fairsharing_record_id":2239,"organisation_id":1203,"relation":"maintains","created_at":"2021-09-30T09:25:31.295Z","updated_at":"2021-09-30T09:25:31.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":1203,"name":"Group of Computational Epigenetic Research (GCER), Harbin, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2087,"fairsharing_record_id":2239,"organisation_id":1659,"relation":"maintains","created_at":"2021-09-30T09:25:31.396Z","updated_at":"2021-09-30T09:25:31.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":1659,"name":"Lab of Developmental Biology, Harbin Institute of Technology, Harbin, China","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2240","type":"fairsharing_records","attributes":{"created_at":"2015-11-27T10:02:47.000Z","updated_at":"2023-12-15T10:31:39.070Z","metadata":{"doi":"10.25504/FAIRsharing.k5a3yt","name":"Big Data Nucleic Acid Simulations Database","status":"ready","contacts":[{"contact_name":"Adam Hospital Gasch","contact_email":"adam.hospital@irbbarcelona.org","contact_orcid":"0000-0002-8291-8071"}],"homepage":"http://mmb.irbbarcelona.org/BIGNASim","identifier":2240,"description":"Atomistic Molecular Dynamics Simulation Trajectories and Analyses of Nucleic Acid Structures. BIGNASim is a complete platform to hold and analyse nucleic acids simulation data, based on two noSQL database engines: Cassandra to hold trajectory data and MongoDB for analyses and metadata. Most common analyses (helical parameters, NMR observables, sitffness, hydrogen bonding and stacking energies and geometries) are pre-calculated for the trajectories available and shown using the interactive visualization offered by NAFlex interface. Additionaly, whole trajectories, fragments or meta-trajectories can be analysed or downloaded for further in-house processing.","abbreviation":"BIGNASim","data_curation":{"url":"https://mmb.irbbarcelona.org/BigNASim/help.php?id=submission","type":"manual/automated"},"support_links":[{"url":"http://mmb.irbbarcelona.org/BigNASim/help.php","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"http://mmb.irbbarcelona.org/NAFlex","name":"NAFlex 1"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://mmb.irbbarcelona.org/BigNASim/help.php?id=submission","type":"open","notes":"Data should be linked to published or submitted article(s)."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000714","bsg-d000714"],"name":"FAIRsharing record for: Big Data Nucleic Acid Simulations Database","abbreviation":"BIGNASim","url":"https://fairsharing.org/10.25504/FAIRsharing.k5a3yt","doi":"10.25504/FAIRsharing.k5a3yt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Atomistic Molecular Dynamics Simulation Trajectories and Analyses of Nucleic Acid Structures. BIGNASim is a complete platform to hold and analyse nucleic acids simulation data, based on two noSQL database engines: Cassandra to hold trajectory data and MongoDB for analyses and metadata. Most common analyses (helical parameters, NMR observables, sitffness, hydrogen bonding and stacking energies and geometries) are pre-calculated for the trajectories available and shown using the interactive visualization offered by NAFlex interface. Additionaly, whole trajectories, fragments or meta-trajectories can be analysed or downloaded for further in-house processing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Nucleic acid sequence","Modeling and simulation","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":876,"pubmed_id":null,"title":"BIGNASim: a NoSQL database structure and analysis portal for nucleic acids simulation data","year":2015,"url":"http://mmb.irbbarcelona.org/BigNASim/dat/SupplMat.pdf","authors":"Adam Hospital, Pau Andrio, Cesare Cugnasco, Laia Codo, Yolanda Becerra, Pablo D. Dans, Federica Battistini, Jordi Torres, Ramon Goñí, Modesto Orozco and Josep Lluís Gelpí","journal":"Nucleic Acids Research, Database Issue","doi":"10.1093/nar/gkv1301","created_at":"2021-09-30T08:23:56.721Z","updated_at":"2021-09-30T08:23:56.721Z"}],"licence_links":[],"grants":[{"id":2094,"fairsharing_record_id":2240,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:25:31.593Z","updated_at":"2021-09-30T09:25:31.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2096,"fairsharing_record_id":2240,"organisation_id":167,"relation":"maintains","created_at":"2021-09-30T09:25:31.677Z","updated_at":"2021-09-30T09:25:31.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":167,"name":"Barcelona Supercomputing Center (BSC), Barcelona, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2093,"fairsharing_record_id":2240,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:25:31.555Z","updated_at":"2021-09-30T09:29:38.136Z","grant_id":336,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PT13/0001/0028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2090,"fairsharing_record_id":2240,"organisation_id":1392,"relation":"maintains","created_at":"2021-09-30T09:25:31.469Z","updated_at":"2021-09-30T09:25:31.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":1392,"name":"Institute for Research in Biomedicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2091,"fairsharing_record_id":2240,"organisation_id":1193,"relation":"funds","created_at":"2021-09-30T09:25:31.495Z","updated_at":"2021-09-30T09:25:31.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":1193,"name":"Government of Catalonia, Spain","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2092,"fairsharing_record_id":2240,"organisation_id":383,"relation":"maintains","created_at":"2021-09-30T09:25:31.523Z","updated_at":"2021-09-30T09:25:31.523Z","grant_id":null,"is_lead":false,"saved_state":{"id":383,"name":"Cataland Institution for Research and Advanced Studies (ICREA), Catalunya, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2097,"fairsharing_record_id":2240,"organisation_id":168,"relation":"maintains","created_at":"2021-09-30T09:25:31.714Z","updated_at":"2021-09-30T09:25:31.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":168,"name":"Barcelona University, Barcelona, Spain","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8287,"fairsharing_record_id":2240,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:31:54.766Z","updated_at":"2021-09-30T09:31:54.808Z","grant_id":1383,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PT13/0001/0019","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9214,"fairsharing_record_id":2240,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.830Z","updated_at":"2022-04-11T12:07:22.830Z","grant_id":null,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2241","type":"fairsharing_records","attributes":{"created_at":"2015-11-30T16:54:38.000Z","updated_at":"2024-03-25T16:30:55.253Z","metadata":{"doi":"10.25504/FAIRsharing.p7ev6e","name":"SigMol","status":"deprecated","contacts":[{"contact_name":"Manoj Kumar","contact_email":"manojk@imtech.res.in","contact_orcid":"0000-0003-3769-052X"}],"homepage":"https://bioinfo.imtech.res.in/manojk/sigmol/","citations":[],"identifier":2241,"description":"SigMol is a specialized repository of quorom sensing signaling molecules (QSSMs) in prokaryotes. SigMol harbors information on QSSMs pertaining to different quorum sensing signaling systems namely acylated homoserine lactones (AHLs), diketopiperazines (DKPs), 4- hydroxy-2-alkylquinolines (HAQs), diffusible signal factors (DSFs), autoinducer-2 (AI-2) and others. The database includes biological as well as chemical aspects of signaling molecules. Biological information includes genes, preliminary bioassays, identification assays and applications, while chemical detail comprises of IUPAC name, SMILES and structure.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/faqs.php","name":"Frequently asked questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/help.php","name":"Help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/compare.php","name":"Compare QSSMs"},{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/draw.php","name":"Draw QSMMs"}],"deprecation_date":"2024-03-25","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000715","bsg-d000715"],"name":"FAIRsharing record for: SigMol","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.p7ev6e","doi":"10.25504/FAIRsharing.p7ev6e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SigMol is a specialized repository of quorom sensing signaling molecules (QSSMs) in prokaryotes. SigMol harbors information on QSSMs pertaining to different quorum sensing signaling systems namely acylated homoserine lactones (AHLs), diketopiperazines (DKPs), 4- hydroxy-2-alkylquinolines (HAQs), diffusible signal factors (DSFs), autoinducer-2 (AI-2) and others. The database includes biological as well as chemical aspects of signaling molecules. Biological information includes genes, preliminary bioassays, identification assays and applications, while chemical detail comprises of IUPAC name, SMILES and structure.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11780}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biochemistry"],"domains":["Signaling","Assay","Structure","Gene"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":837,"pubmed_id":26490957,"title":"SigMol: repertoire of quorum sensing signaling molecules in prokaryotes","year":2015,"url":"http://doi.org/10.1093/nar/gkv1076","authors":"Akanksha Rajput, Karambir Kaur and Manoj Kumar*","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1076","created_at":"2021-09-30T08:23:52.379Z","updated_at":"2021-09-30T08:23:52.379Z"}],"licence_links":[],"grants":[{"id":2099,"fairsharing_record_id":2241,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:25:31.770Z","updated_at":"2021-09-30T09:28:56.544Z","grant_id":25,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research","grant":"GENESIS-BSC0121","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9059,"fairsharing_record_id":2241,"organisation_id":1425,"relation":"maintains","created_at":"2022-03-29T09:58:46.476Z","updated_at":"2024-01-23T13:39:20.647Z","grant_id":null,"is_lead":true,"saved_state":{"id":1425,"name":"Institute of Microbial Technology, Council of Scientific \u0026 Industrial Research","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2100,"fairsharing_record_id":2241,"organisation_id":686,"relation":"funds","created_at":"2021-09-30T09:25:31.795Z","updated_at":"2021-09-30T09:29:30.586Z","grant_id":277,"is_lead":false,"saved_state":{"id":686,"name":"Department of Biotechnology, Ministry of Science and Technology, India","grant":"GAP0001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbDREIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--61bc56c5a63802057ac35bcd191c97fb8b572db8/Screenshot%20from%202024-01-23%2013-36-39.png?disposition=inline","exhaustive_licences":false}},{"id":"2242","type":"fairsharing_records","attributes":{"created_at":"2015-11-30T17:56:25.000Z","updated_at":"2023-12-15T10:32:24.733Z","metadata":{"doi":"10.25504/FAIRsharing.g0c5qn","name":"enviPath","status":"ready","contacts":[{"contact_name":"Jörg Wicker","contact_email":"admin@envipath.org","contact_orcid":"0000-0003-0533-3368"}],"homepage":"https://envipath.org","citations":[{"doi":"10.1093/nar/gkv1229","pubmed_id":26582924,"publication_id":1807}],"identifier":2242,"description":"enviPath is both a database and a prediction system, for the microbial biotransformation of organic environmental contaminants. The database provides the possibility to store and view experimentally observed biotransformation pathways, and supports the annotation of pathways with experimental and environmental conditions. The pathway prediction system provides different relative reasoning models to predict likely biotransformation pathways and products.","abbreviation":"enviPath","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/envipath","type":"Twitter"},{"url":"https://wiki.envipath.com/index.php/Main_Page","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012715","name":"re3data:r3d100012715","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000716","bsg-d000716"],"name":"FAIRsharing record for: enviPath","abbreviation":"enviPath","url":"https://fairsharing.org/10.25504/FAIRsharing.g0c5qn","doi":"10.25504/FAIRsharing.g0c5qn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: enviPath is both a database and a prediction system, for the microbial biotransformation of organic environmental contaminants. The database provides the possibility to store and view experimentally observed biotransformation pathways, and supports the annotation of pathways with experimental and environmental conditions. The pathway prediction system provides different relative reasoning models to predict likely biotransformation pathways and products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Environmental Science"],"domains":["Environmental contaminant","Biotransformation"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Germany","New Zealand","Switzerland"],"publications":[{"id":1807,"pubmed_id":26582924,"title":"enviPath - The environmental contaminant biotransformation pathway resource.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1229","authors":"Wicker J,Lorsbach T,Gutlein M,Schmid E,Latino D,Kramer S,Fenner K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1229","created_at":"2021-09-30T08:25:42.861Z","updated_at":"2021-09-30T11:29:21.094Z"},{"id":3449,"pubmed_id":null,"title":"Holistic Evaluation of Biodegradation Pathway Prediction: Assessing Multi-Step Reactions and Intermediate Products","year":2021,"url":"https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00543-x","authors":" Tam, Jason; Lorsbach, Tim; Schmidt, Sebastian; Wicker, Jörg","journal":"Journal of Cheminformatics","doi":"10.1186/s13321-021-00543-x","created_at":"2022-06-23T10:44:31.449Z","updated_at":"2022-06-23T10:44:31.449Z"},{"id":3450,"pubmed_id":null,"title":"Eawag-Soil in enviPath: a new resource for exploring regulatory pesticide soil biodegradation pathways and half-life data","year":2017,"url":"http://dx.doi.org/10.1039/C6EM00697C","authors":"Latino, Diogo A. R. S.; Wicker, Jörg; Gütlein, Martin; Schmid, Emanuel; Kramer, Stefan; Fenner, Kathrin; ","journal":"Environ. Sci.: Processes Impacts","doi":"10.1039/C6EM00697C","created_at":"2022-06-23T10:45:39.638Z","updated_at":"2022-06-23T10:45:39.638Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2710,"relation":"applies_to_content"}],"grants":[{"id":9607,"fairsharing_record_id":2242,"organisation_id":3572,"relation":"maintains","created_at":"2022-06-23T10:48:23.853Z","updated_at":"2022-06-23T10:48:23.853Z","grant_id":null,"is_lead":true,"saved_state":{"id":3572,"name":"enviPath","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":9608,"fairsharing_record_id":2242,"organisation_id":3016,"relation":"maintains","created_at":"2022-06-23T10:48:23.951Z","updated_at":"2022-06-23T10:48:43.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":3016,"name":"University of Auckland, New Zealand","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2102,"fairsharing_record_id":2242,"organisation_id":814,"relation":"maintains","created_at":"2021-09-30T09:25:31.845Z","updated_at":"2021-09-30T09:25:31.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":814,"name":"Eawag, Dubendorf, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaE1CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e79cfb498026327ec0f12f47e7a1ed1c3b79e8d3/enviPath-LOGO_SHORT-square.png?disposition=inline","exhaustive_licences":false}},{"id":"2243","type":"fairsharing_records","attributes":{"created_at":"2015-12-03T01:39:53.000Z","updated_at":"2023-12-15T10:31:40.623Z","metadata":{"doi":"10.25504/FAIRsharing.9fmyc7","name":"The Pain and Interoception Imaging Network","status":"ready","homepage":"https://www.painrepository.org/repositories/","identifier":2243,"description":"The PAIN Repository is a brain imaging archive for structural and functional magnetic resonance scans (MRI, fMRI and DTI) hosted at UCLA and open to all pain investigators.","abbreviation":"PAIN","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.painrepository.org/repositories/news/newsletter/","type":"Blog/News"},{"url":"https://www.painrepository.org/repositories/about/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.painrepository.org/repositories/join-pain/membership-information/","type":"Help documentation"},{"url":"https://twitter.com/PainRepository","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011913","name":"re3data:r3d100011913","portal":"re3data"}],"data_access_condition":{"url":"https://www.painrepository.org/repositories/join-pain/pain-repository-policies/","type":"controlled","notes":"Only members of the PAIN Archived or standardized Repositories can access data."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.painrepository.org/wp-content/uploads/pain_user_manual._010414.pdf","type":"controlled","notes":"Only members of the PAIN Archived or standardized Repositories can submit data."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000717","bsg-d000717"],"name":"FAIRsharing record for: The Pain and Interoception Imaging Network","abbreviation":"PAIN","url":"https://fairsharing.org/10.25504/FAIRsharing.9fmyc7","doi":"10.25504/FAIRsharing.9fmyc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PAIN Repository is a brain imaging archive for structural and functional magnetic resonance scans (MRI, fMRI and DTI) hosted at UCLA and open to all pain investigators.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Magnetic resonance imaging","Imaging","Functional magnetic resonance imaging","Diffusion tensor imaging","Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":1943,"pubmed_id":25902408,"title":"Pain and Interoception Imaging Network (PAIN): A multimodal, multisite, brain-imaging repository for chronic somatic and visceral pain disorders.","year":2015,"url":"http://doi.org/S1053-8119(15)00308-0","authors":"Jennifer S. Labus, Bruce Naliboff, Lisa Kilpatrick, Cathy Liu, Cody Ashe-McNalley, Ivani R. dos Santos, Mher Alaverdyan, Davis Woodwortha, Arpana Gupta, Benjamin M. Ellingsona, Kirsten Tillisch, Emeran A. Mayer","journal":"NeuroImage","doi":"10.1016/j.neuroimage.2015.04.018","created_at":"2021-09-30T08:25:58.653Z","updated_at":"2021-09-30T08:25:58.653Z"}],"licence_links":[],"grants":[{"id":2105,"fairsharing_record_id":2243,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:31.921Z","updated_at":"2021-09-30T09:25:31.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2103,"fairsharing_record_id":2243,"organisation_id":2956,"relation":"funds","created_at":"2021-09-30T09:25:31.871Z","updated_at":"2021-09-30T09:25:31.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":2956,"name":"United States National Center for Complementary and Integrative Health (NCCAM)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2104,"fairsharing_record_id":2243,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:25:31.895Z","updated_at":"2021-09-30T09:25:31.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2106,"fairsharing_record_id":2243,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:32.164Z","updated_at":"2021-09-30T09:25:32.164Z","grant_id":null,"is_lead":false,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2107,"fairsharing_record_id":2243,"organisation_id":1089,"relation":"maintains","created_at":"2021-09-30T09:25:32.227Z","updated_at":"2021-09-30T09:25:32.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":1089,"name":"Gail and Gerald Oppenheimer Center for Neurobiology of Stress at UCLA , Los Angeles, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2232","type":"fairsharing_records","attributes":{"created_at":"2015-11-06T07:33:05.000Z","updated_at":"2023-06-23T10:01:59.673Z","metadata":{"doi":"10.25504/FAIRsharing.t6wjn7","name":"probeBase","status":"ready","contacts":[{"contact_name":"Daniel J. Rigden","contact_email":"drigden@liv.ac.uk"}],"homepage":"http://www.probebase.net","identifier":2232,"description":"probeBase is a manually maintained and curated database of rRNA-targeted oligonucleotide probes and primers. Contextual information and multiple options for evaluating in silico hybridization performance against the most recent rRNA sequence databases are provided for each oligonucleotide entry, which makes probeBase an important and frequently used resource for microbiology research and diagnostics. The major features of probeBase include a classification of probes and primers according to the NCBI taxonomy database, a powerful and customizable search function, which serves to query for target organisms, probe names, primers, target sites, and references. The probeBase match tool can be used to match near-full length rRNA sequences against probeBase and find all published probes targeting the query sequences. The new proxy match tool extends this analysis to partial rRNA sequences, which exploits full-length sequences in the rRNA sequence database SILVA to find published probes potentially targeting partial query sequences. A tool for submitting new or missing probe sequences or references helps to keep probeBase up-to-date.","abbreviation":"probeBase","data_curation":{"url":"https://probebase.net/node/1","type":"manual/automated","notes":"Manual when you use the submission form and automated for specific cases (e.g. probeBase offers direct submission of sequences to the TestProbe and TestPrime tools of SILVA at the Max Planck Institute for Marine Microbiology.)"},"support_links":[{"url":"probebase@microbial-ecology.net","type":"Support email"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://probebase.csb.univie.ac.at/pb_match","name":"Sequence match"},{"url":"http://probebase.csb.univie.ac.at/pb_proxy","name":"Proxy match"}],"data_access_condition":{"url":"https://probebase.net/pb_report/probe/3704","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://probebase.net/node/8","type":"open","notes":"The form for submitting new probes or primers is currently disabled and will become available again shortly."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000706","bsg-d000706"],"name":"FAIRsharing record for: probeBase","abbreviation":"probeBase","url":"https://fairsharing.org/10.25504/FAIRsharing.t6wjn7","doi":"10.25504/FAIRsharing.t6wjn7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: probeBase is a manually maintained and curated database of rRNA-targeted oligonucleotide probes and primers. Contextual information and multiple options for evaluating in silico hybridization performance against the most recent rRNA sequence databases are provided for each oligonucleotide entry, which makes probeBase an important and frequently used resource for microbiology research and diagnostics. The major features of probeBase include a classification of probes and primers according to the NCBI taxonomy database, a powerful and customizable search function, which serves to query for target organisms, probe names, primers, target sites, and references. The probeBase match tool can be used to match near-full length rRNA sequences against probeBase and find all published probes targeting the query sequences. The new proxy match tool extends this analysis to partial rRNA sequences, which exploits full-length sequences in the rRNA sequence database SILVA to find published probes potentially targeting partial query sequences. A tool for submitting new or missing probe sequences or references helps to keep probeBase up-to-date.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12727}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Microbiology"],"domains":["Polymerase chain reaction primers","Oligonucleotide probe annotation","Ribosomal RNA","Probe","Curated information"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":832,"pubmed_id":12520066,"title":"probeBase: an online resource for rRNA-targeted oligonucleotide probes.","year":2003,"url":"http://doi.org/10.1093/nar/gkg016","authors":"Loy A,Horn M,Wagner M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg016","created_at":"2021-09-30T08:23:51.793Z","updated_at":"2021-09-30T11:28:53.517Z"},{"id":833,"pubmed_id":17099228,"title":"probeBase--an online resource for rRNA-targeted oligonucleotide probes: new features 2007.","year":2006,"url":"http://doi.org/10.1093/nar/gkl856","authors":"Loy A,Maixner F,Wagner M,Horn M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl856","created_at":"2021-09-30T08:23:51.943Z","updated_at":"2021-09-30T11:28:53.600Z"},{"id":1244,"pubmed_id":26586809,"title":"probeBase--an online resource for rRNA-targeted oligonucleotide probes and primers: new features 2016.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1232","authors":"Greuter D,Loy A,Horn M,Rattei T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1232","created_at":"2021-09-30T08:24:38.764Z","updated_at":"2021-09-30T11:29:03.792Z"}],"licence_links":[],"grants":[{"id":2066,"fairsharing_record_id":2232,"organisation_id":3146,"relation":"maintains","created_at":"2021-09-30T09:25:30.722Z","updated_at":"2021-09-30T09:25:30.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":3146,"name":"University of Vienna, Department of Microbiology and Ecosystem Science, Austria","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2233","type":"fairsharing_records","attributes":{"created_at":"2015-11-11T10:39:36.000Z","updated_at":"2023-12-15T10:29:56.030Z","metadata":{"doi":"10.25504/FAIRsharing.mtkc4","name":"EffectiveDB","status":"ready","contacts":[{"contact_name":"Thomas Rattei","contact_email":"thomas.rattei@univie.ac.at","contact_orcid":"0000-0002-0592-7791"}],"homepage":"http://effectivedb.org","citations":[],"identifier":2233,"description":"The Effective database contains pre-calculated predictions of bacterial secreted proteins and of functional secretion systems. Effective bundles various tools to recognize Type III secretion signals, conserved binding sites of Type III chaperones, eukaryotic-like domains and subcellular targeting signals in the host. Beyond the analysis of arbitrary protein sequence collections, the new release of Effective also provides a \"genome-mode\", in which protein sequences from nearly complete genomes or metagenomic bins can be screened for the presence of three important secretion systems (type III, IV, VI).","abbreviation":"EffectiveDB","data_curation":{"url":"https://effectivedb.org/methods","type":"automated"},"support_links":[{"url":"http://effectivedb.org/news","type":"Blog/News"},{"url":"contact.cube@univie.ac.at","type":"Support email"},{"url":"http://effectivedb.org/help","type":"Help documentation"},{"url":"http://effectivedb.org/methods","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","data_access_condition":{"type":"not found"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://effectivedb.org/effective/browse","type":"not applicable","notes":"Accessing data deposited in EggNoOG and NCBI"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000707","bsg-d000707"],"name":"FAIRsharing record for: EffectiveDB","abbreviation":"EffectiveDB","url":"https://fairsharing.org/10.25504/FAIRsharing.mtkc4","doi":"10.25504/FAIRsharing.mtkc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Effective database contains pre-calculated predictions of bacterial secreted proteins and of functional secretion systems. Effective bundles various tools to recognize Type III secretion signals, conserved binding sites of Type III chaperones, eukaryotic-like domains and subcellular targeting signals in the host. Beyond the analysis of arbitrary protein sequence collections, the new release of Effective also provides a \"genome-mode\", in which protein sequences from nearly complete genomes or metagenomic bins can be screened for the presence of three important secretion systems (type III, IV, VI).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Computational biological predictions","Protein secretion"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Austria","Canada"],"publications":[{"id":834,"pubmed_id":21071416,"title":"Effective--a database of predicted secreted bacterial proteins.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1154","authors":"Jehl MA,Arnold R,Rattei T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1154","created_at":"2021-09-30T08:23:52.051Z","updated_at":"2021-09-30T11:28:53.684Z"},{"id":1138,"pubmed_id":26590402,"title":"EffectiveDB--updates and novel features for a better annotation of bacterial secreted proteins and Type III, IV, VI secretion systems.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1269","authors":"Eichinger V,Nussbaumer T,Platzer A,Jehl MA,Arnold R,Rattei T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1269","created_at":"2021-09-30T08:24:26.447Z","updated_at":"2021-09-30T11:29:00.386Z"}],"licence_links":[],"grants":[{"id":2067,"fairsharing_record_id":2233,"organisation_id":154,"relation":"funds","created_at":"2021-09-30T09:25:30.759Z","updated_at":"2021-09-30T09:30:02.622Z","grant_id":527,"is_lead":false,"saved_state":{"id":154,"name":"Austrian Science Fund (FWF), Austria","grant":"I 2191","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2068,"fairsharing_record_id":2233,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:30.787Z","updated_at":"2021-09-30T09:29:31.036Z","grant_id":280,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG RA 1719/1-1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2235","type":"fairsharing_records","attributes":{"created_at":"2015-11-19T12:18:20.000Z","updated_at":"2023-12-15T10:29:31.780Z","metadata":{"doi":"10.25504/FAIRsharing.fe9kyy","name":"Green Non-Coding Database","status":"ready","contacts":[{"contact_name":"Riccardo Aiese Cigliano","contact_email":"raiesecigliano@sequentiabiotech.com","contact_orcid":"0000-0002-9058-6994"}],"homepage":"http://greenc.sequentiabiotech.com/wiki2/Main_Page","citations":[],"identifier":2235,"description":"The Green Non-Coding Database (GreeNC) is a repository of lncRNAs annotated in plants and algae. By using the same pipeline to annotate lncRNAs and organizing them in a central database we aim to provide a tool for the scientific community that can boost the research on this class of transcripts. The GreeNC database provides information about sequence, genomic coordinates, coding potential and folding energy for all the identified lncRNAs. In the last update, 16 species have been updated and 78 species have been added, resulting in the annotation of more than 495 000 lncRNAs.","abbreviation":"GreeNC","data_curation":{"url":"http://greenc.sequentiabiotech.com/wiki2/Help","type":"manual/automated","notes":"All lncRNAs from GeeNC have been annotated in silico from reference transcripts using highly specific and sensitive in-house bioinformatics pipelines"},"support_links":[{"url":"http://greenc.sequentiabiotech.com/wiki2/Email","name":"Contact us","type":"Contact form"},{"url":"http://greenc.sequentiabiotech.com/wiki2/Help","name":"Help Contents","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"url":"http://greenc.sequentiabiotech.com/wiki2/Help","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000709","bsg-d000709"],"name":"FAIRsharing record for: Green Non-Coding Database","abbreviation":"GreeNC","url":"https://fairsharing.org/10.25504/FAIRsharing.fe9kyy","doi":"10.25504/FAIRsharing.fe9kyy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Green Non-Coding Database (GreeNC) is a repository of lncRNAs annotated in plants and algae. By using the same pipeline to annotate lncRNAs and organizing them in a central database we aim to provide a tool for the scientific community that can boost the research on this class of transcripts. The GreeNC database provides information about sequence, genomic coordinates, coding potential and folding energy for all the identified lncRNAs. In the last update, 16 species have been updated and 78 species have been added, resulting in the annotation of more than 495 000 lncRNAs.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12728}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Annotation","Long non-coding RNA"],"taxonomies":["Algae","Viridiplantae"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1521,"pubmed_id":26578586,"title":"GREENC: a Wiki-based database of plant lncRNAs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1215","authors":"Paytuvi Gallart A,Hermoso Pulido A,Anzar Martinez de Lagran I,Sanseverino W,Aiese Cigliano R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1215","created_at":"2021-09-30T08:25:10.317Z","updated_at":"2021-09-30T11:29:12.161Z"},{"id":3787,"pubmed_id":null,"title":"GreeNC 2.0: a comprehensive database of plant long non-coding RNAs","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1014","authors":"Di Marsico, Marco; Paytuvi Gallart, Andreu; Sanseverino, Walter; Aiese Cigliano, Riccardo; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1014","created_at":"2023-02-22T16:30:49.461Z","updated_at":"2023-02-22T16:30:49.461Z"}],"licence_links":[],"grants":[{"id":2071,"fairsharing_record_id":2235,"organisation_id":2549,"relation":"maintains","created_at":"2021-09-30T09:25:30.875Z","updated_at":"2021-09-30T09:25:30.875Z","grant_id":null,"is_lead":false,"saved_state":{"id":2549,"name":"Sequentia Biotech SL, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2236","type":"fairsharing_records","attributes":{"created_at":"2015-11-19T15:15:30.000Z","updated_at":"2023-06-23T10:46:57.074Z","metadata":{"doi":"10.25504/FAIRsharing.1y79y9","name":"GeneWeaver","status":"ready","contacts":[{"contact_name":"Erich Baker","contact_email":"Erich_Baker@Baylor.edu","contact_orcid":"0000-0002-7798-5704"}],"homepage":"http://www.geneweaver.org","citations":[],"identifier":2236,"description":"The GeneWeaver data and analytics website is a publically available resource for storing, curating and analyzing sets of genes from heterogeneous data sources. The system enables discovery of relationships among genes, variants, traits, drugs, environments, anatomical structures and diseases implicitly found through gene set intersections. By enumerating the common and distinct biological molecules associated with all subsets of curated or user submitted groups of gene sets and gene networks, GeneWeaver empowers users with the ability to construct data driven descriptions of shared and unique biological processes, diseases and traits within and across species.","abbreviation":"GeneWeaver","data_curation":{"url":"https://www.geneweaver.org/help/#curation-guide","type":"manual"},"support_links":[{"url":"https://www.geneweaver.org/help/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://www.geneweaver.org/register_or_login","name":"Analysis tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012464","name":"re3data:r3d100012464","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003009","name":"SciCrunch:RRID:SCR_003009","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000710","bsg-d000710"],"name":"FAIRsharing record for: GeneWeaver","abbreviation":"GeneWeaver","url":"https://fairsharing.org/10.25504/FAIRsharing.1y79y9","doi":"10.25504/FAIRsharing.1y79y9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GeneWeaver data and analytics website is a publically available resource for storing, curating and analyzing sets of genes from heterogeneous data sources. The system enables discovery of relationships among genes, variants, traits, drugs, environments, anatomical structures and diseases implicitly found through gene set intersections. By enumerating the common and distinct biological molecules associated with all subsets of curated or user submitted groups of gene sets and gene networks, GeneWeaver empowers users with the ability to construct data driven descriptions of shared and unique biological processes, diseases and traits within and across species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12729},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12959}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Anatomy","Life Science","Comparative Genomics"],"domains":["Drug","Phenotype","Disease"],"taxonomies":["Caenorhabditis elegans","Canis familiaris","Danio rerio","Drosophila melanogaster","Gallus gallus","Homo sapiens","Macaca mulatta","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":864,"pubmed_id":22080549,"title":"GeneWeaver: a web-based system for integrative functional genomics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr968","authors":"Baker EJ,Jay JJ,Bubier JA,Langston MA,Chesler EJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr968","created_at":"2021-09-30T08:23:55.443Z","updated_at":"2021-09-30T11:28:54.359Z"},{"id":1634,"pubmed_id":26092690,"title":"GeneWeaver: finding consilience in heterogeneous cross-species functional genomics data.","year":2015,"url":"http://doi.org/10.1007/s00335-015-9575-x","authors":"Bubier JA,Phillips CA,Langston MA,Baker EJ,Chesler EJ","journal":"Mamm Genome","doi":"10.1007/s00335-015-9575-x","created_at":"2021-09-30T08:25:23.061Z","updated_at":"2021-09-30T08:25:23.061Z"},{"id":1635,"pubmed_id":19733230,"title":"Ontological Discovery Environment: a system for integrating gene-phenotype associations.","year":2009,"url":"http://doi.org/10.1016/j.ygeno.2009.08.016","authors":"Baker EJ,Jay JJ,Philip VM,Zhang Y,Li Z,Kirova R,Langston MA,Chesler EJ","journal":"Genomics","doi":"10.1016/j.ygeno.2009.08.016","created_at":"2021-09-30T08:25:23.170Z","updated_at":"2021-09-30T08:25:23.170Z"}],"licence_links":[{"licence_name":"GeneWeaver Data Sharing","licence_id":332,"licence_url":"https://www.geneweaver.org/datasharing","link_id":2232,"relation":"undefined"},{"licence_name":"GeneWeaver Privacy","licence_id":333,"licence_url":"https://www.geneweaver.org/privacy","link_id":2233,"relation":"undefined"}],"grants":[{"id":2075,"fairsharing_record_id":2236,"organisation_id":3137,"relation":"maintains","created_at":"2021-09-30T09:25:31.051Z","updated_at":"2021-09-30T09:25:31.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":3137,"name":"University of Tennessee, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8371,"fairsharing_record_id":2236,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:32:18.408Z","updated_at":"2021-09-30T09:32:18.459Z","grant_id":1558,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"U24AA13513","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2072,"fairsharing_record_id":2236,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:30.917Z","updated_at":"2021-09-30T09:25:30.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2074,"fairsharing_record_id":2236,"organisation_id":179,"relation":"maintains","created_at":"2021-09-30T09:25:30.993Z","updated_at":"2021-09-30T09:25:30.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":179,"name":"Baylor University, Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2076,"fairsharing_record_id":2236,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:31.090Z","updated_at":"2021-09-30T09:29:07.410Z","grant_id":103,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"RO1 AA18776","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2073,"fairsharing_record_id":2236,"organisation_id":1596,"relation":"funds","created_at":"2021-09-30T09:25:30.956Z","updated_at":"2021-09-30T09:32:11.886Z","grant_id":1512,"is_lead":false,"saved_state":{"id":1596,"name":"JAX Center for Precision Genetics NIH","grant":"U54OD020351","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7885,"fairsharing_record_id":2236,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:29:24.749Z","updated_at":"2021-09-30T09:29:24.797Z","grant_id":237,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"U01 AA13499","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2225","type":"fairsharing_records","attributes":{"created_at":"2015-10-13T05:19:27.000Z","updated_at":"2023-06-22T17:19:06.298Z","metadata":{"doi":"10.25504/FAIRsharing.5mf7bd","name":"Colorectal Cancer Atlas","status":"ready","contacts":[{"contact_name":"Suresh Mathivanan","contact_email":"S.Mathivanan@latrobe.edu.au","contact_orcid":"0000-0002-7290-5795"}],"homepage":"http://coloncanceratlas.org/","citations":[],"identifier":2225,"description":"Colorectral Cancer Atlas is an web-based resource which integrates genomic and proteomic pertaining to colorectal cancer cell lines and tissues. Data catalogued includes, quantitative and non-quantitative protein expression, sequence variations, cellular signaling pathways, protein-protein interactions, Gene Ontology terms, protein domains and post-translational modifications (PTMs).","abbreviation":"CRC Atlas","data_curation":{"url":"https://doi.org/10.1093/nar/gkv1097","type":"manual/automated"},"support_links":[{"url":"http://coloncanceratlas.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://coloncanceratlas.org/contactus","name":"General Contact Form","type":"Contact form"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000699","bsg-d000699"],"name":"FAIRsharing record for: Colorectal Cancer Atlas","abbreviation":"CRC Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.5mf7bd","doi":"10.25504/FAIRsharing.5mf7bd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Colorectral Cancer Atlas is an web-based resource which integrates genomic and proteomic pertaining to colorectal cancer cell lines and tissues. Data catalogued includes, quantitative and non-quantitative protein expression, sequence variations, cellular signaling pathways, protein-protein interactions, Gene Ontology terms, protein domains and post-translational modifications (PTMs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Proteomics","Biomedical Science"],"domains":["Drug report","Cancer","Post-translational protein modification","Extracellular exosome","Mutation analysis","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1643,"pubmed_id":26496946,"title":"Colorectal cancer atlas: An integrative resource for genomic and proteomic annotations from colorectal cancer cell lines and tissues.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1097","authors":"Chisanga D,Keerthikumar S,Pathan M,Ariyaratne D,Kalra H,Boukouris S,Mathew NA,Al Saffar H,Gangoda L,Ang CS,Sieber OM,Mariadason JM,Dasgupta R,Chilamkurti N,Mathivanan S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1097","created_at":"2021-09-30T08:25:24.017Z","updated_at":"2021-09-30T11:29:17.644Z"}],"licence_links":[],"grants":[{"id":2044,"fairsharing_record_id":2225,"organisation_id":1994,"relation":"funds","created_at":"2021-09-30T09:25:29.886Z","updated_at":"2021-09-30T09:31:14.091Z","grant_id":1078,"is_lead":false,"saved_state":{"id":1994,"name":"National Health and Medical Research Council (NHMRC), Australia","grant":"1016599","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2226","type":"fairsharing_records","attributes":{"created_at":"2015-10-20T12:52:34.000Z","updated_at":"2023-12-15T10:32:23.944Z","metadata":{"doi":"10.25504/FAIRsharing.v1dcm3","name":"Digenic diseases database","status":"ready","contacts":[{"contact_name":"Tom Lenaerts","contact_email":"tlenaert@ulb.ac.be"}],"homepage":"http://dida.ibsquare.be","identifier":2226,"description":"DIDA (DIgenic diseases DAtabase) is a novel database that provides for the first time detailed information on genes and associated genetic variants involved in digenic diseases, the simplest form of oligogenic inheritance.","abbreviation":"DIDA","data_curation":{"type":"manual"},"support_links":[{"url":"dida@ibsquare.be","type":"Support email"},{"url":"http://dida.ibsquare.be/help/","type":"Help documentation"},{"url":"http://dida.ibsquare.be/documentation/","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://dida.ibsquare.be/submit/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000700","bsg-d000700"],"name":"FAIRsharing record for: Digenic diseases database","abbreviation":"DIDA","url":"https://fairsharing.org/10.25504/FAIRsharing.v1dcm3","doi":"10.25504/FAIRsharing.v1dcm3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DIDA (DIgenic diseases DAtabase) is a novel database that provides for the first time detailed information on genes and associated genetic variants involved in digenic diseases, the simplest form of oligogenic inheritance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Digenic inheritance","Genetic polymorphism"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Digenic disease"],"countries":["Belgium"],"publications":[{"id":1127,"pubmed_id":26481352,"title":"DIDA: A curated and annotated digenic diseases database.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1068","authors":"Gazzo AM,Daneels D,Cilia E,Bonduelle M,Abramowicz M,Van Dooren S,Smits G,Lenaerts T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1068","created_at":"2021-09-30T08:24:25.072Z","updated_at":"2021-09-30T11:28:59.755Z"}],"licence_links":[],"grants":[{"id":2046,"fairsharing_record_id":2226,"organisation_id":2921,"relation":"funds","created_at":"2021-09-30T09:25:29.959Z","updated_at":"2021-09-30T09:25:29.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":2921,"name":"United Methodist Committee on Relief (UMCOR), USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2045,"fairsharing_record_id":2226,"organisation_id":1025,"relation":"funds","created_at":"2021-09-30T09:25:29.916Z","updated_at":"2021-09-30T09:25:29.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":1025,"name":"Fondation pour la Recherche contre le Cancer (ARC), Villejuif, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2047,"fairsharing_record_id":2226,"organisation_id":1542,"relation":"funds","created_at":"2021-09-30T09:25:30.001Z","updated_at":"2021-09-30T09:25:30.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":1542,"name":"Interuniversity Institute of Bioinformatics in Brussels, Brussels, Belgium","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2048,"fairsharing_record_id":2226,"organisation_id":327,"relation":"funds","created_at":"2021-09-30T09:25:30.093Z","updated_at":"2021-09-30T09:31:57.145Z","grant_id":1402,"is_lead":false,"saved_state":{"id":327,"name":"Brussels Institute for Research and Innovation, Brussels, Belgium","grant":"RBC/13-PFS EH-11","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2227","type":"fairsharing_records","attributes":{"created_at":"2015-10-20T15:33:34.000Z","updated_at":"2023-06-23T10:49:25.177Z","metadata":{"doi":"10.25504/FAIRsharing.62p8w","name":"Scratchpads","status":"ready","contacts":[{"contact_name":"Scratchpads General Contact","contact_email":"scratchpads@nhm.ac.uk"}],"homepage":"http://scratchpads.org/","citations":[],"identifier":2227,"description":"Scratchpads are an online virtual research environment for biodiversity for the sharing of data and the creation of specific research networks. Sites can focus on specific taxonomic groups, the biodiversity of a biogeographic region, or any aspect of natural history. Scratchpads are also suitable for societies or for managing and presenting projects.","abbreviation":"Scratchpads","data_curation":{"type":"none"},"support_links":[{"url":"http://scratchpads.org/news/","name":"News","type":"Help documentation"},{"url":"https://github.com/NaturalHistoryMuseum/scratchpads2","name":"Github Repository","type":"Github"},{"url":"https://twitter.com/scratchpads","name":"@scratchpads","type":"Twitter"}],"year_creation":2007,"data_versioning":"yes","data_access_condition":{"url":"https://www.scratchpads.org/about/concept","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.scratchpads.org/about/concept","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000701","bsg-d000701"],"name":"FAIRsharing record for: Scratchpads","abbreviation":"Scratchpads","url":"https://fairsharing.org/10.25504/FAIRsharing.62p8w","doi":"10.25504/FAIRsharing.62p8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Scratchpads are an online virtual research environment for biodiversity for the sharing of data and the creation of specific research networks. Sites can focus on specific taxonomic groups, the biodiversity of a biogeographic region, or any aspect of natural history. Scratchpads are also suitable for societies or for managing and presenting projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Natural History"],"domains":["Taxonomic classification","Bibliography","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1036,"pubmed_id":22207806,"title":"Scratchpads 2.0: a Virtual Research Environment supporting scholarly collaboration, communication and data publication in biodiversity science.","year":2011,"url":"http://doi.org/10.3897/zookeys.150.2193","authors":"Smith VS,Rycroft SD,Brake I,Scott B,Baker E,Livermore L,Blagoderov V,Roberts D","journal":"Zookeys","doi":"10.3897/zookeys.150.2193","created_at":"2021-09-30T08:24:14.739Z","updated_at":"2021-09-30T08:24:14.739Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":570,"relation":"undefined"},{"licence_name":"Scratchpads Terms and Conditions","licence_id":739,"licence_url":"http://scratchpads.org/about/policies/termsandconditions","link_id":574,"relation":"undefined"}],"grants":[{"id":2050,"fairsharing_record_id":2227,"organisation_id":3195,"relation":"maintains","created_at":"2021-09-30T09:25:30.166Z","updated_at":"2021-09-30T09:25:30.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":3195,"name":"Vizzuality","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2054,"fairsharing_record_id":2227,"organisation_id":2093,"relation":"maintains","created_at":"2021-09-30T09:25:30.292Z","updated_at":"2021-09-30T09:25:30.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":2093,"name":"Natural History Museum","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2057,"fairsharing_record_id":2227,"organisation_id":860,"relation":"maintains","created_at":"2021-09-30T09:25:30.409Z","updated_at":"2021-09-30T09:25:30.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":860,"name":"Encyclopedia of Life","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2052,"fairsharing_record_id":2227,"organisation_id":892,"relation":"funds","created_at":"2021-09-30T09:25:30.219Z","updated_at":"2021-09-30T09:30:23.113Z","grant_id":687,"is_lead":false,"saved_state":{"id":892,"name":"EU FP7 ViBRANT","grant":"RI-261532","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9485,"fairsharing_record_id":2227,"organisation_id":2461,"relation":"funds","created_at":"2022-05-03T13:18:21.948Z","updated_at":"2022-05-03T13:18:21.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew, London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2049,"fairsharing_record_id":2227,"organisation_id":2745,"relation":"maintains","created_at":"2021-09-30T09:25:30.130Z","updated_at":"2021-09-30T09:25:30.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":2745,"name":"The Biodiversity Heritage Library (BHL)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2051,"fairsharing_record_id":2227,"organisation_id":281,"relation":"maintains","created_at":"2021-09-30T09:25:30.196Z","updated_at":"2021-09-30T09:25:30.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":281,"name":"BioVeL, Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2058,"fairsharing_record_id":2227,"organisation_id":2305,"relation":"maintains","created_at":"2021-09-30T09:25:30.451Z","updated_at":"2021-09-30T09:25:30.451Z","grant_id":null,"is_lead":false,"saved_state":{"id":2305,"name":"Pensoft Publishers","types":["Publisher"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYmM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d88c66af5cb85639e7544d994f6985d96f5fad0b/scratchpads.png?disposition=inline","exhaustive_licences":false}},{"id":"2228","type":"fairsharing_records","attributes":{"created_at":"2015-10-30T22:36:04.000Z","updated_at":"2023-06-22T16:02:13.108Z","metadata":{"doi":"10.25504/FAIRsharing.ew61fn","name":"WholeCellSimDB","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"http://www.wholecellsimdb.org","citations":[],"identifier":2228,"description":"WholeCellSimDB is a database of whole-cell model simulations designed to make it easy for researchers to explore and analyze whole-cell model predictions including predicted: - Metabolite concentrations, - DNA, RNA and protein expression, - DNA-bound protein positions, - DNA modification positions, and - Ribome positions.","abbreviation":"WholeCellSimDB","data_curation":{"url":"https://doi.org/10.1093/database/bau095","type":"none","notes":"Records may not be changed after deposition."},"support_links":[{"url":"wholecell@lists.stanford.edu","type":"Support email"},{"url":"http://www.wholecellsimdb.org/help","name":"Help","type":"Help documentation"},{"url":"http://www.wholecellsimdb.org/about","name":"About","type":"Help documentation"},{"url":"http://www.wholecellsimdb.org/tutorial","name":"Tutorial","type":"Training documentation"},{"url":"https://twitter.com/jonrkarr","name":"@jonrkarr","type":"Twitter"},{"url":"https://www.wholecellsimdb.org/static/doc/index.html","name":"Source code documentation","type":"Help documentation"},{"url":"https://github.com/CovertLab/WholeCellSimDB","type":"Github"},{"url":"wholecellsimdb.org/advanced_analysis_gallery","name":"Advanced analysis gallery","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/database/bau095","type":"controlled","notes":"Deposition for authors' own research group only. Local installation required for any other deposits."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000702","bsg-d000702"],"name":"FAIRsharing record for: WholeCellSimDB","abbreviation":"WholeCellSimDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ew61fn","doi":"10.25504/FAIRsharing.ew61fn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WholeCellSimDB is a database of whole-cell model simulations designed to make it easy for researchers to explore and analyze whole-cell model predictions including predicted: - Metabolite concentrations, - DNA, RNA and protein expression, - DNA-bound protein positions, - DNA modification positions, and - Ribome positions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12725}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Systems Biology"],"domains":["Expression data","Deoxyribonucleic acid","Metabolite","Protein"],"taxonomies":["Escherichia coli K12","Mycoplasma genitalium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":831,"pubmed_id":25231498,"title":"WholeCellSimDB: a hybrid relational/HDF database for whole-cell model predictions.","year":2014,"url":"http://doi.org/10.1093/database/bau095","authors":"Karr JR,Phillips NC,Covert MW","journal":"Database (Oxford)","doi":"10.1093/database/bau095","created_at":"2021-09-30T08:23:51.688Z","updated_at":"2021-09-30T08:23:51.688Z"}],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":1077,"relation":"undefined"}],"grants":[{"id":7878,"fairsharing_record_id":2228,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:20.157Z","updated_at":"2021-09-30T09:29:20.214Z","grant_id":200,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5DP1LM01150-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2059,"fairsharing_record_id":2228,"organisation_id":1627,"relation":"maintains","created_at":"2021-09-30T09:25:30.493Z","updated_at":"2021-09-30T09:25:30.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":1627,"name":"Karr Lab, Institute for Multiscale Biology \u0026 Genomics, New York, NY, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2060,"fairsharing_record_id":2228,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:30.530Z","updated_at":"2021-09-30T09:29:01.667Z","grant_id":61,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1P50GM107615","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2220","type":"fairsharing_records","attributes":{"created_at":"2015-10-08T15:22:51.000Z","updated_at":"2024-01-24T06:21:28.354Z","metadata":{"doi":"10.25504/FAIRsharing.c8dxsv","name":"ReMap","status":"ready","contacts":[{"contact_name":"Benoit Ballester","contact_email":"benoit.ballester@inserm.fr","contact_orcid":"0000-0002-0834-7135"}],"homepage":"https://remap.univ-amu.fr/","citations":[],"identifier":2220,"description":"ReMap is a large scale integrative analysis of DNA-binding experiments for Homo sapiens, Mus musculus, Drosophila melanogaster and Arabidopsis thaliana transcriptional regulators. The catalogues are the results of the manual curation of ChIP-seq, ChIP-exo, DAP-seq from public sources (GEO, ENCODE, ENA). ReMap (https://remap.univ-amu.fr) aims to provide manually curated, high-quality catalogs of regulatory regions resulting from a large-scale integrative analysis of DNA-binding experiments in Human, Mouse, Fly and Arabidopsis thaliana for hundreds of transcription factors and regulators. In this 2022 update, we have uniformly processed \u003e11 000 DNA-binding sequencing datasets from public sources across four species. The four regulatory catalogs are browsable through track hubs at UCSC, Ensembl and NCBI genome browsers. Finally, ReMap 2022 comes with a new Cis Regulatory Module identification method, improved quality controls, faster search results, and better user experience with an interactive tour and video tutorials on browsing and filtering ReMap catalogs.","abbreviation":"ReMap","data_curation":{"type":"manual"},"support_links":[{"url":"https://remap.univ-amu.fr/contact_page","name":"Contact","type":"Help documentation"},{"url":"https://remap.univ-amu.fr/about_hsap_page","name":"About","type":"Help documentation"},{"url":"https://remap.univ-amu.fr/about_trackhubs_page","name":"About Tracks","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[{"url":"http://genome-euro.ucsc.edu/cgi-bin/hgTracks?db=hg19\u0026position=chr18%3A48493295-48497350\u0026hgsid=209791310_qlUWcxlOAdmrXkAXTRadwAEW1LYn","name":"UCSC Genome Browser tracks"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000694","bsg-d000694"],"name":"FAIRsharing record for: ReMap","abbreviation":"ReMap","url":"https://fairsharing.org/10.25504/FAIRsharing.c8dxsv","doi":"10.25504/FAIRsharing.c8dxsv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ReMap is a large scale integrative analysis of DNA-binding experiments for Homo sapiens, Mus musculus, Drosophila melanogaster and Arabidopsis thaliana transcriptional regulators. The catalogues are the results of the manual curation of ChIP-seq, ChIP-exo, DAP-seq from public sources (GEO, ENCODE, ENA). ReMap (https://remap.univ-amu.fr) aims to provide manually curated, high-quality catalogs of regulatory regions resulting from a large-scale integrative analysis of DNA-binding experiments in Human, Mouse, Fly and Arabidopsis thaliana for hundreds of transcription factors and regulators. In this 2022 update, we have uniformly processed \u003e11 000 DNA-binding sequencing datasets from public sources across four species. The four regulatory catalogs are browsable through track hubs at UCSC, Ensembl and NCBI genome browsers. Finally, ReMap 2022 comes with a new Cis Regulatory Module identification method, improved quality controls, faster search results, and better user experience with an interactive tour and video tutorials on browsing and filtering ReMap catalogs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genome annotation","Cell line","Cancer","Enhancer","Transcription factor","Chromatin immunoprecipitation - DNA sequencing","Chromatin Interaction Analysis by Paired-End Tag sequencing","Gene regulatory element","Promoter","Regulatory region"],"taxonomies":["Arabidopsis thaliana","Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":["cis-regulatory modules"],"countries":["France"],"publications":[{"id":827,"pubmed_id":25477382,"title":"Integrative analysis of public ChIP-seq experiments reveals a complex multi-cell regulatory landscape.","year":2014,"url":"http://doi.org/10.1093/nar/gku1280","authors":"Griffon A,Barbier Q,Dalino J,van Helden J,Spicuglia S,Ballester B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1280","created_at":"2021-09-30T08:23:51.210Z","updated_at":"2021-09-30T11:28:53.417Z"},{"id":4084,"pubmed_id":null,"title":"ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab996","authors":"Hammal, Fayrouz; de Langen, Pierre; Bergon, Aurélie; Lopez, Fabrice; Ballester, Benoit; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab996","created_at":"2024-01-17T08:57:15.357Z","updated_at":"2024-01-17T08:57:15.357Z"},{"id":4085,"pubmed_id":null,"title":"ReMap 2018: an updated atlas of regulatory regions from an integrative analysis of DNA-binding ChIP-seq experiments","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx1092","authors":"Chèneby, Jeanne; Gheorghe, Marius; Artufel, Marie; Mathelier, Anthony; Ballester, Benoit; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1092","created_at":"2024-01-17T08:57:46.434Z","updated_at":"2024-01-17T08:57:46.434Z"},{"id":4086,"pubmed_id":null,"title":"ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments","year":2019,"url":"http://dx.doi.org/10.1093/nar/gkz945","authors":"Chèneby, Jeanne; Ménétrier, Zacharie; Mestdagh, Martin; Rosnet, Thomas; Douida, Allyssa; Rhalloussi, Wassim; Bergon, Aurélie; Lopez, Fabrice; Ballester, Benoit; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz945","created_at":"2024-01-17T08:57:59.224Z","updated_at":"2024-01-17T08:57:59.224Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":3451,"relation":"undefined"}],"grants":[{"id":2032,"fairsharing_record_id":2220,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:25:29.380Z","updated_at":"2021-09-30T09:29:36.877Z","grant_id":326,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","grant":"U1090 TAGC","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2033,"fairsharing_record_id":2220,"organisation_id":1025,"relation":"funds","created_at":"2021-09-30T09:25:29.417Z","updated_at":"2021-09-30T09:29:16.319Z","grant_id":169,"is_lead":false,"saved_state":{"id":1025,"name":"Fondation pour la Recherche contre le Cancer (ARC), Villejuif, France","grant":"DOC20140601414","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbHNEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d45a66978c2bd6ad39e3496043d0fffb81ad4004/48247965.png?disposition=inline","exhaustive_licences":false}},{"id":"2221","type":"fairsharing_records","attributes":{"created_at":"2015-09-29T07:48:35.000Z","updated_at":"2023-12-15T10:30:22.124Z","metadata":{"doi":"10.25504/FAIRsharing.gbrmh4","name":"Medaka Expression Pattern Database","status":"ready","contacts":[{"contact_name":"Juan L. Mateo","contact_email":"juan.mateo@cos.uni-heidelberg.de","contact_orcid":"0000-0001-9902-6048"}],"homepage":"http://mepd.cos.uni-heidelberg.de/","identifier":2221,"description":"MEPD contains expression data of genes and regulatory elements assayed in the Japanese killifish Medaka (Oryzias latipes).","abbreviation":"MEPD","data_curation":{"type":"not found"},"year_creation":2002,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://mepd.cos.uni-heidelberg.de/mepd/","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000695","bsg-d000695"],"name":"FAIRsharing record for: Medaka Expression Pattern Database","abbreviation":"MEPD","url":"https://fairsharing.org/10.25504/FAIRsharing.gbrmh4","doi":"10.25504/FAIRsharing.gbrmh4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MEPD contains expression data of genes and regulatory elements assayed in the Japanese killifish Medaka (Oryzias latipes).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Endocrinology","Genetics","Life Science"],"domains":["Expression data","Sequence annotation","Enhancer","Promoter","Gene"],"taxonomies":["Oryzias latipes"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":751,"pubmed_id":15879458,"title":"MEPD: a resource for medaka gene expression patterns.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti478","authors":"Henrich T,Ramialison M,Wittbrodt B,Assouline B,Bourrat F,Berger A,Himmelbauer H,Sasaki T,Shimizu N,Westerfield M,Kondoh H,Wittbrodt J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti478","created_at":"2021-09-30T08:23:42.695Z","updated_at":"2021-09-30T08:23:42.695Z"},{"id":781,"pubmed_id":12519950,"title":"MEPD: a Medaka gene expression pattern database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg017","authors":"Henrich T,Ramialison M,Quiring R,Wittbrodt B,Furutani-Seiki M,Wittbrodt J,Kondoh H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg017","created_at":"2021-09-30T08:23:46.051Z","updated_at":"2021-09-30T11:28:51.068Z"}],"licence_links":[],"grants":[{"id":2036,"fairsharing_record_id":2221,"organisation_id":466,"relation":"maintains","created_at":"2021-09-30T09:25:29.588Z","updated_at":"2021-09-30T09:25:29.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":466,"name":"Centre for Organismal Studies (COS), Heidelberg, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2034,"fairsharing_record_id":2221,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:25:29.507Z","updated_at":"2021-09-30T09:25:29.507Z","grant_id":null,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2035,"fairsharing_record_id":2221,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:25:29.550Z","updated_at":"2021-09-30T09:25:29.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2037,"fairsharing_record_id":2221,"organisation_id":826,"relation":"funds","created_at":"2021-09-30T09:25:29.625Z","updated_at":"2021-09-30T09:25:29.625Z","grant_id":null,"is_lead":false,"saved_state":{"id":826,"name":"Education Portal of the Regional Government of Castilla-La Mancha, Toledo, Spain","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2222","type":"fairsharing_records","attributes":{"created_at":"2015-10-02T15:25:17.000Z","updated_at":"2023-12-15T10:31:57.791Z","metadata":{"doi":"10.25504/FAIRsharing.d21jc4","name":"Integrated Digitized Biocollections","status":"ready","contacts":[{"contact_name":"Joanna McCaffrey","contact_email":"jmccaffrey@flmnh.ufl.edu"}],"homepage":"https://www.idigbio.org/","citations":[],"identifier":2222,"description":"iDigBio is the US national resource for digitized information about vouchered natural history collections within the context established by the NIBA community strategic plan and is supported through funds from the NSF's ADBC (Advancing Digitization of Biodiversity Collections) program. Through ADBC, data and images for millions of biological specimens are being made available in electronic format for the research community, government agencies, students, educators, and the general public.","abbreviation":"iDigBio","data_curation":{"url":"https://www.idigbio.org/wiki/index.php/Pre-digitization_Curation_and_Staging","type":"manual"},"support_links":[{"url":"https://www.idigbio.org/contact/Portal_feedback","type":"Contact form"},{"url":"https://www.idigbio.org/portal/tutorial","type":"Help documentation"},{"url":"https://www.idigbio.org/wiki/index.php/Wiki_Home","type":"Help documentation"},{"url":"https://twitter.com/iDigBio","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011126","name":"re3data:r3d100011126","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014336","name":"SciCrunch:RRID:SCR_014336","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.idigbio.org/sites/default/files/DataIngestionGuide.pdf","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000696","bsg-d000696"],"name":"FAIRsharing record for: Integrated Digitized Biocollections","abbreviation":"iDigBio","url":"https://fairsharing.org/10.25504/FAIRsharing.d21jc4","doi":"10.25504/FAIRsharing.d21jc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iDigBio is the US national resource for digitized information about vouchered natural history collections within the context established by the NIBA community strategic plan and is supported through funds from the NSF's ADBC (Advancing Digitization of Biodiversity Collections) program. Through ADBC, data and images for millions of biological specimens are being made available in electronic format for the research community, government agencies, students, educators, and the general public.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Natural History"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"iDigBio Terms of Use Policy","licence_id":423,"licence_url":"https://www.idigbio.org/content/idigbio-terms-use-policy","link_id":874,"relation":"undefined"}],"grants":[{"id":2038,"fairsharing_record_id":2222,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:29.667Z","updated_at":"2021-09-30T09:32:04.729Z","grant_id":1458,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"EF-1115210","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9553,"fairsharing_record_id":2222,"organisation_id":3055,"relation":"maintains","created_at":"2022-05-20T10:27:56.544Z","updated_at":"2022-05-20T10:27:56.544Z","grant_id":null,"is_lead":true,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2244","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T13:16:04.000Z","updated_at":"2023-06-23T09:56:27.913Z","metadata":{"doi":"10.25504/FAIRsharing.16v73e","name":"Autism Brain Imaging Data Exchange","status":"ready","contacts":[{"contact_name":"Adriana Di Martino","contact_email":"dimara01@nyumc.org"}],"homepage":"http://fcon_1000.projects.nitrc.org/indi/abide/","identifier":2244,"description":"Autism Brain Imaging Data Exchange (ABIDE) is a resource serving Autism spectrum disorders (ASD) data. The Autism Brain Imaging Data Exchange (ABIDE) provides previously-collected resting state functional magnetic resonance imaging (R-fMRI) datasets for the purpose of data sharing in the broader scientific community. ABIDE is intended to facilitate discovery science and comparisons across samples. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project / INDI protocols, all datasets are anonymous, with no protected health information included. Data is available for download from the ABIDE website and for searching via partner websites.","abbreviation":"ABIDE","data_curation":{"type":"not found"},"support_links":[{"url":"mostofsky@kennedykrieger.org","name":"Contact","type":"Support email"},{"url":"http://fcon_1000.projects.nitrc.org/indi/abide/databases.html","name":"Accessing Data","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000718","bsg-d000718"],"name":"FAIRsharing record for: Autism Brain Imaging Data Exchange","abbreviation":"ABIDE","url":"https://fairsharing.org/10.25504/FAIRsharing.16v73e","doi":"10.25504/FAIRsharing.16v73e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Autism Brain Imaging Data Exchange (ABIDE) is a resource serving Autism spectrum disorders (ASD) data. The Autism Brain Imaging Data Exchange (ABIDE) provides previously-collected resting state functional magnetic resonance imaging (R-fMRI) datasets for the purpose of data sharing in the broader scientific community. ABIDE is intended to facilitate discovery science and comparisons across samples. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project / INDI protocols, all datasets are anonymous, with no protected health information included. Data is available for download from the ABIDE website and for searching via partner websites.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11119}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Autistic disorder","Magnetic resonance imaging","Imaging","Functional magnetic resonance imaging","Disease","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Resting state functional magnetic resonance imaging (R-fMRI)"],"countries":["Belgium","Germany","Ireland","United States"],"publications":[{"id":877,"pubmed_id":23774715,"title":"The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.","year":2013,"url":"http://doi.org/10.1038/mp.2013.78","authors":"Di Martino A,Yan CG,Li Q et al.","journal":"Mol Psychiatry","doi":"10.1038/mp.2013.78","created_at":"2021-09-30T08:23:56.822Z","updated_at":"2021-09-30T08:23:56.822Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":2202,"relation":"undefined"}],"grants":[{"id":2108,"fairsharing_record_id":2244,"organisation_id":155,"relation":"maintains","created_at":"2021-09-30T09:25:32.269Z","updated_at":"2021-09-30T09:25:32.269Z","grant_id":null,"is_lead":true,"saved_state":{"id":155,"name":"Autism Brain Imaging Data Exchange (ABIDE), International Neuroimaging Datasharing Initiative (INDI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2111,"fairsharing_record_id":2244,"organisation_id":1609,"relation":"funds","created_at":"2021-09-30T09:25:32.390Z","updated_at":"2021-09-30T09:25:32.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":1609,"name":"Joseph P. Healey Research Grant Program, University of Massachusetts Boston, Boston, MA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8202,"fairsharing_record_id":2244,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:31:29.822Z","updated_at":"2021-09-30T09:31:29.866Z","grant_id":1197,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"K23MH087770","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2109,"fairsharing_record_id":2244,"organisation_id":1707,"relation":"funds","created_at":"2021-09-30T09:25:32.309Z","updated_at":"2021-09-30T09:25:32.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":1707,"name":"Leon Levy Foundation, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2110,"fairsharing_record_id":2244,"organisation_id":2640,"relation":"funds","created_at":"2021-09-30T09:25:32.351Z","updated_at":"2021-09-30T09:25:32.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":2640,"name":"Stavros Niarchos Foundation","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2112,"fairsharing_record_id":2244,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:25:32.427Z","updated_at":"2021-09-30T09:29:45.813Z","grant_id":391,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"R03MH096321","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2247","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T20:18:30.000Z","updated_at":"2023-12-15T10:31:03.530Z","metadata":{"doi":"10.25504/FAIRsharing.fb0r2g","name":"Library of Integrated Network-Based Cellular Signatures Data Portal","status":"ready","contacts":[{"contact_name":"Avi Ma'ayan","contact_email":"avi.maayan@mssm.edu"}],"homepage":"http://lincsportal.ccs.miami.edu/dcic-portal/","citations":[],"identifier":2247,"description":"The LINCS Data Portal provides a unified interface for searching LINCS dataset packages and reagents. LINCS data are being made openly available as a community resource through a series of data releases, so as to enable scientists to address a broad range of basic research questions and to facilitate the identification of biological targets for new disease therapies. LINCS datasets consist of assay results from cultured and primary human cells treated with bioactive small molecules, ligands such as growth factors and cytokines, or genetic perturbations. Many different assays are used to monitor cell responses, including assays measuring transcript and protein expression; cell phenotype data are captured by biochemical and imaging readouts. Assays are typically carried out on multiple cell types, and at multiple timepoints; perturbagen activity is monitored at multiple doses.","abbreviation":"LINCS Data Portal","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.lincsproject.org/about/","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://www.lincsproject.org/data/tools-and-databases/","name":"All LINCS Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012421","name":"re3data:r3d100012421","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014939","name":"SciCrunch:RRID:SCR_014939","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000721","bsg-d000721"],"name":"FAIRsharing record for: Library of Integrated Network-Based Cellular Signatures Data Portal","abbreviation":"LINCS Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.fb0r2g","doi":"10.25504/FAIRsharing.fb0r2g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Data Portal provides a unified interface for searching LINCS dataset packages and reagents. LINCS data are being made openly available as a community resource through a series of data releases, so as to enable scientists to address a broad range of basic research questions and to facilitate the identification of biological targets for new disease therapies. LINCS datasets consist of assay results from cultured and primary human cells treated with bioactive small molecules, ligands such as growth factors and cytokines, or genetic perturbations. Many different assays are used to monitor cell responses, including assays measuring transcript and protein expression; cell phenotype data are captured by biochemical and imaging readouts. Assays are typically carried out on multiple cell types, and at multiple timepoints; perturbagen activity is monitored at multiple doses.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10811},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11122},{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11910},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12734}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Cellular assay","Molecular interaction","Small molecule","Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":684,"relation":"undefined"},{"licence_name":"LINCS Data Release Policy","licence_id":492,"licence_url":"http://www.lincsproject.org/data/data-release-policy/","link_id":896,"relation":"undefined"}],"grants":[{"id":2115,"fairsharing_record_id":2247,"organisation_id":2036,"relation":"maintains","created_at":"2021-09-30T09:25:32.551Z","updated_at":"2021-09-30T09:25:32.551Z","grant_id":null,"is_lead":true,"saved_state":{"id":2036,"name":"National Institutes of Health (NIH) Big Data to Knowledge BD2K-LINCS Data Coordination and Integration Center (DCIC), Bethesda, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2116,"fairsharing_record_id":2247,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:32.590Z","updated_at":"2021-09-30T09:29:55.054Z","grant_id":467,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NIH Common Fund","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2248","type":"fairsharing_records","attributes":{"created_at":"2015-12-09T00:28:10.000Z","updated_at":"2023-12-15T10:32:49.359Z","metadata":{"doi":"10.25504/FAIRsharing.ztvs34","name":"Database of small human non-coding RNAs","status":"ready","contacts":[{"contact_name":"Li-San Wang","contact_email":"dashr@lisanwanglab.org","contact_orcid":"0000-0002-3684-0031"}],"homepage":"http://lisanwanglab.org/DASHR","identifier":2248,"description":"Integrated annotation and sequencing-based expression data for all major classes of human small non-coding RNAs (sncRNAs) for both full sncRNA transcripts and mature sncRNA products derived from these larger RNAs.","abbreviation":"DASHR","data_curation":{"url":"https://dashr1.lisanwanglab.org/smdb.php#tabAbout","type":"manual/automated"},"support_links":[{"url":"http://lisanwanglab.org/DASHR/smdb.php#faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2015,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000722","bsg-d000722"],"name":"FAIRsharing record for: Database of small human non-coding RNAs","abbreviation":"DASHR","url":"https://fairsharing.org/10.25504/FAIRsharing.ztvs34","doi":"10.25504/FAIRsharing.ztvs34","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integrated annotation and sequencing-based expression data for all major classes of human small non-coding RNAs (sncRNAs) for both full sncRNA transcripts and mature sncRNA products derived from these larger RNAs.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12735}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","RNA sequence","Sequence annotation","RNA sequencing","Non-coding RNA"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2341,"pubmed_id":26553799,"title":"DASHR: database of small human noncoding RNAs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1188","authors":"Leung YY,Kuksa PP,Amlie-Wolf A,Valladares O,Ungar LH,Kannan S,Gregory BD,Wang LS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1188","created_at":"2021-09-30T08:26:47.525Z","updated_at":"2021-09-30T11:29:33.488Z"}],"licence_links":[],"grants":[{"id":2119,"fairsharing_record_id":2248,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:25:32.711Z","updated_at":"2021-09-30T09:25:32.711Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2118,"fairsharing_record_id":2248,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:32.669Z","updated_at":"2021-09-30T09:30:55.925Z","grant_id":939,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01-GM099962","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2117,"fairsharing_record_id":2248,"organisation_id":1379,"relation":"maintains","created_at":"2021-09-30T09:25:32.627Z","updated_at":"2021-09-30T09:25:32.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":1379,"name":"Institute for Biomedical Informatics (IBI), University of Pennsylvania, Philadelphia, PA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2120,"fairsharing_record_id":2248,"organisation_id":1722,"relation":"maintains","created_at":"2021-09-30T09:25:32.751Z","updated_at":"2021-09-30T09:25:32.751Z","grant_id":null,"is_lead":true,"saved_state":{"id":1722,"name":"Lisa Wang Lab, University of Pennsylvania, United States","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2223","type":"fairsharing_records","attributes":{"created_at":"2015-10-05T14:54:39.000Z","updated_at":"2023-12-15T10:30:16.154Z","metadata":{"doi":"10.25504/FAIRsharing.6w29qp","name":"VirusMentha","status":"ready","contacts":[{"contact_name":"Alberto Calderone","contact_email":"sinnefa@gmail.com","contact_orcid":"0000-0003-0876-1595"}],"homepage":"http://virusmentha.uniroma2.it/","identifier":2223,"description":"VirusMentha is a collection of viral interactions manually curated from protein-protein databases that adhere to the IMEx consortium. This resource offers a series of tools to analyse selected proteins in the context of a network of interactions. virus mentha offers direct access to viral families such as: Orthomyxoviridae, Orthoretrovirinae and Herpesviridae plus, it offers the unique possibility of searching by host organism.","abbreviation":"VirusMentha","data_curation":{"url":"https://virusmentha.uniroma2.it/about.php","type":"manual"},"support_links":[{"url":"http://virusmentha.uniroma2.it/about.php","name":"User Guide","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010685","name":"re3data:r3d100010685","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005987","name":"SciCrunch:RRID:SCR_005987","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000697","bsg-d000697"],"name":"FAIRsharing record for: VirusMentha","abbreviation":"VirusMentha","url":"https://fairsharing.org/10.25504/FAIRsharing.6w29qp","doi":"10.25504/FAIRsharing.6w29qp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VirusMentha is a collection of viral interactions manually curated from protein-protein databases that adhere to the IMEx consortium. This resource offers a series of tools to analyse selected proteins in the context of a network of interactions. virus mentha offers direct access to viral families such as: Orthomyxoviridae, Orthoretrovirinae and Herpesviridae plus, it offers the unique possibility of searching by host organism.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12322},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12724}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Life Science","Epidemiology"],"domains":["Protein interaction","Network model","Protein"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":820,"pubmed_id":25217587,"title":"VirusMentha: a new resource for virus-host protein interactions.","year":2014,"url":"http://doi.org/10.1093/nar/gku830","authors":"Calderone A,Licata L,Cesareni G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku830","created_at":"2021-09-30T08:23:50.414Z","updated_at":"2021-09-30T11:28:52.943Z"}],"licence_links":[],"grants":[{"id":2040,"fairsharing_record_id":2223,"organisation_id":3119,"relation":"maintains","created_at":"2021-09-30T09:25:29.737Z","updated_at":"2021-09-30T09:25:29.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":3119,"name":"University of Rome Tor Vergata, Italy","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2039,"fairsharing_record_id":2223,"organisation_id":1565,"relation":"funds","created_at":"2021-09-30T09:25:29.705Z","updated_at":"2021-09-30T09:31:13.685Z","grant_id":1074,"is_lead":false,"saved_state":{"id":1565,"name":"Italian Association for Cancer Research (AIRC), Milan, Italy","grant":"N IG 2013 N.1413","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2041,"fairsharing_record_id":2223,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:25:29.764Z","updated_at":"2021-09-30T09:31:30.058Z","grant_id":1199,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"RBAP11LP2W","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2224","type":"fairsharing_records","attributes":{"created_at":"2015-10-05T10:43:04.000Z","updated_at":"2024-03-21T13:57:52.039Z","metadata":{"doi":"10.25504/FAIRsharing.ss78t4","name":"SIGnaling Network Open Resource","status":"ready","contacts":[{"contact_name":"Gianni Cesareni","contact_email":"gianni.cesareni@torvergata.it","contact_orcid":"0000-0002-9528-6018"}],"homepage":"https://signor.uniroma2.it/","citations":[],"identifier":2224,"description":"SIGNOR, the SIGnaling Network Open Resource, organizes and stores in a structured format signaling information published in the scientific literature. The captured information is stored as binary causative relationships between biological entities and can be represented graphically as activity flow. The entire network can be freely downloaded and used to support logic modeling or to interpret high content datasets. Each relationship is linked to the literature reporting the experimental evidence. In addition each node is annotated with the chemical inhibitors that modulate its activity. The signaling information is mapped to the human proteome even if the experimental evidence is based on experiments on mammalian model organisms.","abbreviation":"SIGNOR","data_curation":{"url":"https://signor.uniroma2.it/","type":"manual"},"support_links":[{"url":"https://signor.uniroma2.it/user_guide.php","name":"User guide","type":"Help documentation"},{"url":"https://signor.uniroma2.it/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000698","bsg-d000698"],"name":"FAIRsharing record for: SIGnaling Network Open Resource","abbreviation":"SIGNOR","url":"https://fairsharing.org/10.25504/FAIRsharing.ss78t4","doi":"10.25504/FAIRsharing.ss78t4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SIGNOR, the SIGnaling Network Open Resource, organizes and stores in a structured format signaling information published in the scientific literature. The captured information is stored as binary causative relationships between biological entities and can be represented graphically as activity flow. The entire network can be freely downloaded and used to support logic modeling or to interpret high content datasets. Each relationship is linked to the literature reporting the experimental evidence. In addition each node is annotated with the chemical inhibitors that modulate its activity. The signaling information is mapped to the human proteome even if the experimental evidence is based on experiments on mammalian model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12323}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Computational biological predictions","Gene functional annotation","Protein interaction","Network model","Proteome","Signaling","Molecular interaction","Gene-disease association","Literature curation","Biocuration"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["COVID-19"],"countries":["Italy"],"publications":[{"id":1497,"pubmed_id":26467481,"title":"SIGNOR: a database of causal relationships between biological entities.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1048","authors":"Perfetto L,Briganti L,Calderone A,Perpetuini AC,Iannuccelli M,Langone F,Licata L,Marinkovic M,Mattioni A,Pavlidou T,Peluso D,Petrilli LL,Pirro S,Posca D,Santonico E,Silvestri A,Spada F,Castagnoli L,Cesareni G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1048","created_at":"2021-09-30T08:25:07.684Z","updated_at":"2021-09-30T11:29:10.978Z"}],"licence_links":[],"grants":[{"id":2043,"fairsharing_record_id":2224,"organisation_id":1050,"relation":"funds","created_at":"2021-09-30T09:25:29.842Z","updated_at":"2021-09-30T09:31:46.215Z","grant_id":1319,"is_lead":false,"saved_state":{"id":1050,"name":"Fraunhofer-Institut fr Angewandte Informationstechnik (FIT), Sankt Augstin, Germany","grant":"322749","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11511,"fairsharing_record_id":2224,"organisation_id":679,"relation":"maintains","created_at":"2024-03-21T13:57:51.575Z","updated_at":"2024-03-21T13:57:51.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":679,"name":"Bioinformatics and Computational Biology Unit, Molecular Genetics Laboratory, University of Rome Tor Vergata","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2217","type":"fairsharing_records","attributes":{"created_at":"2015-07-27T08:03:11.000Z","updated_at":"2023-12-15T10:32:20.207Z","metadata":{"doi":"10.25504/FAIRsharing.wjhf24","name":"openSNP","status":"ready","contacts":[{"contact_name":"Bastian Greshake","contact_email":"bgreshake@googlemail.com","contact_orcid":"0000-0002-9925-9623"}],"homepage":"https://www.opensnp.org","identifier":2217,"description":"A crowdsourced collection of personal genomics data. Includes SNP genotyping, exome sequencing data, phenotypic annotation and quantified self tracking data.","abbreviation":"openSNP","data_curation":{"url":"https://opensnp.org/faq","type":"manual/automated"},"support_links":[{"url":"https://opensnp.wordpress.com","type":"Blog/News"},{"url":"info@opensnp.org","type":"Support email"},{"url":"https://opensnp.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/opensnporg","type":"Twitter"}],"year_creation":2011,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://opensnp.org/signup","type":"open","notes":"Free login is required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000691","bsg-d000691"],"name":"FAIRsharing record for: openSNP","abbreviation":"openSNP","url":"https://fairsharing.org/10.25504/FAIRsharing.wjhf24","doi":"10.25504/FAIRsharing.wjhf24","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A crowdsourced collection of personal genomics data. Includes SNP genotyping, exome sequencing data, phenotypic annotation and quantified self tracking data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic polymorphism","Phenotype","Single nucleotide polymorphism","Genome","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":808,"pubmed_id":24647222,"title":"openSNP--a crowdsourced web resource for personal genomics.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0089204","authors":"Greshake B,Bayer PE,Rausch H,Reda J","journal":"PLoS One","doi":"10.1371/journal.pone.0089204","created_at":"2021-09-30T08:23:49.154Z","updated_at":"2021-09-30T08:23:49.154Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":907,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":262,"relation":"undefined"},{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":872,"relation":"undefined"}],"grants":[{"id":2025,"fairsharing_record_id":2217,"organisation_id":2264,"relation":"maintains","created_at":"2021-09-30T09:25:29.160Z","updated_at":"2021-09-30T09:25:29.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":2264,"name":"openSNP Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2023,"fairsharing_record_id":2217,"organisation_id":2296,"relation":"funds","created_at":"2021-09-30T09:25:29.104Z","updated_at":"2021-09-30T09:25:29.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":2296,"name":"Patreon","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2024,"fairsharing_record_id":2217,"organisation_id":1148,"relation":"funds","created_at":"2021-09-30T09:25:29.137Z","updated_at":"2021-09-30T09:25:29.137Z","grant_id":null,"is_lead":false,"saved_state":{"id":1148,"name":"German Wikimedia Foundation, Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2026,"fairsharing_record_id":2217,"organisation_id":2552,"relation":"maintains","created_at":"2021-09-30T09:25:29.186Z","updated_at":"2021-09-30T09:25:29.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":2552,"name":"Seven Bridges","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2218","type":"fairsharing_records","attributes":{"created_at":"2015-08-03T17:39:40.000Z","updated_at":"2023-09-07T13:18:20.407Z","metadata":{"doi":"10.25504/FAIRsharing.emcjf0","name":"UniCarbKB","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@unicarbkb.org"}],"homepage":"http://www.unicarbkb.org","citations":[],"identifier":2218,"description":"UniCarbKB is an initiative that aims to promote the creation of an online information storage and search platform for glycomics and glycobiology research. The knowledgebase will offer a freely accessible and information-rich resource supported by querying interfaces, annotation technologies and the adoption of common standards to integrate structural, experimental and functional data.","abbreviation":"UniCarbKB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.unicarbkb.org/about","type":"Help documentation"},{"url":"http://115.146.93.212/confluence/display/UK/UniCarbKB+Summary","type":"Help documentation"},{"url":"https://twitter.com/unicarbkb","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2023-09-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000692","bsg-d000692"],"name":"FAIRsharing record for: UniCarbKB","abbreviation":"UniCarbKB","url":"https://fairsharing.org/10.25504/FAIRsharing.emcjf0","doi":"10.25504/FAIRsharing.emcjf0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniCarbKB is an initiative that aims to promote the creation of an online information storage and search platform for glycomics and glycobiology research. The knowledgebase will offer a freely accessible and information-rich resource supported by querying interfaces, annotation technologies and the adoption of common standards to integrate structural, experimental and functional data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics","Biomedical Science"],"domains":[],"taxonomies":["Apis","Aspergillus oryzae","Bos taurus","Gallus gallus","Homo sapiens","Leishmania","Oryza sativa","Rattus norvegicus","Sus scrofa","Trypanosoma cruzi"],"user_defined_tags":[],"countries":["Australia","Germany","Ireland","Japan","Sweden","Switzerland","United States"],"publications":[{"id":796,"pubmed_id":24234447,"title":"UniCarbKB: building a knowledge platform for glycoproteomics.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1128","authors":"Campbell MP,Peterson R,Mariethoz J,Gasteiger E,Akune Y,Aoki-Kinoshita KF,Lisacek F,Packer NH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1128","created_at":"2021-09-30T08:23:47.768Z","updated_at":"2021-09-30T11:28:51.592Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":873,"relation":"undefined"}],"grants":[{"id":2028,"fairsharing_record_id":2218,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:25:29.245Z","updated_at":"2021-09-30T09:25:29.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2027,"fairsharing_record_id":2218,"organisation_id":2671,"relation":"funds","created_at":"2021-09-30T09:25:29.213Z","updated_at":"2021-09-30T09:25:29.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":2671,"name":"Swedish Foundation for International Cooperation in Research and Higher Education (STINT), Sweden","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2029,"fairsharing_record_id":2218,"organisation_id":142,"relation":"maintains","created_at":"2021-09-30T09:25:29.269Z","updated_at":"2021-09-30T09:25:29.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":142,"name":"Australian National Data Service (ANDS), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2030,"fairsharing_record_id":2218,"organisation_id":1989,"relation":"funds","created_at":"2021-09-30T09:25:29.299Z","updated_at":"2021-09-30T09:25:29.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":1989,"name":"National eResearch Collaboration Tools and Resources project (NeCTAR), Victoria, Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2219","type":"fairsharing_records","attributes":{"created_at":"2015-09-07T12:42:54.000Z","updated_at":"2022-07-20T11:26:53.462Z","metadata":{"doi":"10.25504/FAIRsharing.7v8q4h","name":"ProteoRed","status":"deprecated","contacts":[{"contact_name":"ProteoRed coordination unit","contact_email":"coordinacion@proteored.org"}],"homepage":"http://www.proteored.org","identifier":2219,"description":"Carlos III Networked Proteomics Platform, ProteoRed-ISCIII is a National Network for the coordination, integration and development of the Spanish Proteomics Facilities providing proteomics services for supporting Spanish researchers in the field of proteomics.","abbreviation":"ProteoRed","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.proteored.org/web/guest/news","type":"Blog/News"},{"url":"http://www.proteored.org/web/guest/contact-us","type":"Contact form"},{"url":"http://proteo.cnb.csic.es/trac/wiki/MiapeAPIWebserviceFunctions","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://proteo.cnb.csic.es:8080/pike/","name":"PIKE: Protein Information and Knowledge Extractor"},{"url":"http://estrellapolar.cnb.csic.es/proteored/miape/Miape_Intro.asp?pmPrimera=1","name":"MIAPE Extractor tool"}],"deprecation_date":"2021-9-18","deprecation_reason":"Although the project is active, this database is no longer available at the stated homepage, and updated database URLs cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000693","bsg-d000693"],"name":"FAIRsharing record for: ProteoRed","abbreviation":"ProteoRed","url":"https://fairsharing.org/10.25504/FAIRsharing.7v8q4h","doi":"10.25504/FAIRsharing.7v8q4h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Carlos III Networked Proteomics Platform, ProteoRed-ISCIII is a National Network for the coordination, integration and development of the Spanish Proteomics Facilities providing proteomics services for supporting Spanish researchers in the field of proteomics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Biomedical Science"],"domains":["Target"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1288,"pubmed_id":17031803,"title":"Geographical focus. Proteomics initiatives in Spain: ProteoRed.","year":2006,"url":"http://doi.org/10.1002/pmic.200600487","authors":"Paradela A,Escuredo PR,Albar JP","journal":"Proteomics","doi":"10.1002/pmic.200600487","created_at":"2021-09-30T08:24:43.758Z","updated_at":"2021-09-30T08:24:43.758Z"},{"id":1289,"pubmed_id":21983993,"title":"The ProteoRed MIAPE web toolkit: a user-friendly framework to connect and share proteomics standards.","year":2011,"url":"http://doi.org/10.1074/mcp.M111.008334","authors":"Medina-Aunon JA,Martinez-Bartolome S,Lopez-Garcia MA,Salazar E,Navajas R,Jones AR,Paradela A,Albar JP","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.M111.008334","created_at":"2021-09-30T08:24:43.869Z","updated_at":"2021-09-30T08:24:43.869Z"},{"id":1290,"pubmed_id":20097317,"title":"Relevance of proteomics standards for the ProteoRed Spanish organization.","year":2010,"url":"http://doi.org/10.1016/j.jprot.2010.01.006","authors":"Martinez-Bartolome S,Blanco F,Albar JP","journal":"J Proteomics","doi":"10.1016/j.jprot.2010.01.006","created_at":"2021-09-30T08:24:43.983Z","updated_at":"2021-09-30T08:24:43.983Z"}],"licence_links":[],"grants":[{"id":2031,"fairsharing_record_id":2219,"organisation_id":481,"relation":"maintains","created_at":"2021-09-30T09:25:29.341Z","updated_at":"2021-09-30T09:25:29.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":481,"name":"Centro de Investigacion Medica Aplicada (CIMA), Pamplona, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2230","type":"fairsharing_records","attributes":{"created_at":"2015-11-03T09:44:46.000Z","updated_at":"2022-09-08T13:34:53.912Z","metadata":{"doi":"10.25504/FAIRsharing.x7pwnw","name":"short Open Reading Frame database","status":"deprecated","contacts":[{"contact_name":"Volodimir Olexiouk","contact_email":"volodimir.olexiouk@ugent.be"}],"homepage":"http://www.sorfs.org","citations":[],"identifier":2230,"description":"sORFs.org is a database for sORFs identified using ribosome profiling. Starting from ribosome profiling, sORFs.org identifies sORFs, incorporates state-of-the-art tools and metrics and stores results in a public database. Two query interfaces are provided, a default one enabling quick lookup of sORFs and a BioMart interface providing advanced query and export possibilities. At present, sORFs.org harbors 263 354 sORFs that demonstrate ribosome occupancy, originating from three different cell lines: HCT116 (human), E14_mESC (mouse) and S2 (fruit fly).","abbreviation":"sorfs.org","data_curation":{"type":"not found"},"support_links":[{"url":"http://sorfs.org/contact","type":"Contact form"},{"url":"http://www.sorfs.org/info","type":"Help documentation"},{"url":"https://twitter.com/sORFdb","type":"Twitter"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2022-07-11","deprecation_reason":"This resource no longer has a valid homepage, a new one cannot be found, and the stated contacts cannot be reached. Please let us know if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000704","bsg-d000704"],"name":"FAIRsharing record for: short Open Reading Frame database","abbreviation":"sorfs.org","url":"https://fairsharing.org/10.25504/FAIRsharing.x7pwnw","doi":"10.25504/FAIRsharing.x7pwnw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: sORFs.org is a database for sORFs identified using ribosome profiling. Starting from ribosome profiling, sORFs.org identifies sORFs, incorporates state-of-the-art tools and metrics and stores results in a public database. Two query interfaces are provided, a default one enabling quick lookup of sORFs and a BioMart interface providing advanced query and export possibilities. At present, sORFs.org harbors 263 354 sORFs that demonstrate ribosome occupancy, originating from three different cell lines: HCT116 (human), E14_mESC (mouse) and S2 (fruit fly).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12726}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome map","Ribosomal RNA"],"taxonomies":["Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":343,"pubmed_id":26527729,"title":"sORFs.org: a repository of small ORFs identified by ribosome profiling.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1175","authors":"Olexiouk V,Crappe J,Verbruggen S,Verhegen K,Martens L,Menschaert G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1175","created_at":"2021-09-30T08:22:56.974Z","updated_at":"2021-09-30T11:28:45.617Z"}],"licence_links":[],"grants":[{"id":2063,"fairsharing_record_id":2230,"organisation_id":1658,"relation":"maintains","created_at":"2021-09-30T09:25:30.611Z","updated_at":"2021-09-30T09:25:30.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":1658,"name":"Lab of bioinformatics and computational genomics (BIOBIX), Gent, Belgium","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":9332,"fairsharing_record_id":2230,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:30.935Z","updated_at":"2022-04-11T12:07:30.949Z","grant_id":1501,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"G0D3114N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9335,"fairsharing_record_id":2230,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:31.204Z","updated_at":"2022-04-11T12:07:31.221Z","grant_id":1741,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"12A7813N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2294","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T12:00:36.000Z","updated_at":"2023-12-15T10:31:18.244Z","metadata":{"doi":"10.25504/FAIRsharing.3rv9m8","name":"Ocean Biodiversity Information System","status":"ready","contacts":[{"contact_name":"Ward Appeltans","contact_email":"w.appeltans@unesco.org","contact_orcid":"0000-0002-3237-4547"}],"homepage":"https://obis.org/","citations":[],"identifier":2294,"description":"The Ocean Biodiversity (formerly Biogeographic) information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans. OBIS provides a portal or gateway to many datasets containing information on where and when marine species have been recorded. The datasets are integrated so you can search them all seamlessly by species name, higher taxonomic level, geographic area, depth, and time; and then map and find environmental data related to the locations.","abbreviation":"OBIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://obis.org/data/policy/","name":"OBIS Data Policy","type":"Help documentation"},{"url":"https://obis.org/manual/","name":"The OBIS Manual","type":"Help documentation"},{"url":"https://www.slideshare.net/OBIS-IOC/presentations","name":"OBIS Presentations (Slideshare)","type":"Help documentation"},{"url":"https://obis.org/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://obis.org/about/","name":"About OBIS","type":"Help documentation"},{"url":"https://obis.org/training/","name":"OBIS Training","type":"Training documentation"},{"url":"https://twitter.com/OBISNetwork","name":"@OBISNetwork","type":"Twitter"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"https://obis.org/manual/accessr","name":"OBIS R package"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010088","name":"re3data:r3d100010088","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006933","name":"SciCrunch:RRID:SCR_006933","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000768","bsg-d000768"],"name":"FAIRsharing record for: Ocean Biodiversity Information System","abbreviation":"OBIS","url":"https://fairsharing.org/10.25504/FAIRsharing.3rv9m8","doi":"10.25504/FAIRsharing.3rv9m8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ocean Biodiversity (formerly Biogeographic) information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans. OBIS provides a portal or gateway to many datasets containing information on where and when marine species have been recorded. The datasets are integrated so you can search them all seamlessly by species name, higher taxonomic level, geographic area, depth, and time; and then map and find environmental data related to the locations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geography","Marine Biology","Biodiversity","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1135,"pubmed_id":25858475,"title":"Conservation of biodiversity through taxonomy, data publication, and collaborative infrastructures.","year":2015,"url":"http://doi.org/10.1111/cobi.12496","authors":"Costello MJ,Vanhoorne B,Appeltans W","journal":"Conserv Biol","doi":"10.1111/cobi.12496","created_at":"2021-09-30T08:24:25.982Z","updated_at":"2021-09-30T08:24:25.982Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2081,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2082,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2083,"relation":"undefined"}],"grants":[{"id":2232,"fairsharing_record_id":2294,"organisation_id":1468,"relation":"maintains","created_at":"2021-09-30T09:25:36.690Z","updated_at":"2021-09-30T09:25:36.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":1468,"name":"Intergovernmental Oceanographic Commission of UNESCO (IOC-UNESCO), Paris, France","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2295","type":"fairsharing_records","attributes":{"created_at":"2016-05-03T15:20:31.000Z","updated_at":"2023-12-15T10:30:22.494Z","metadata":{"doi":"10.25504/FAIRsharing.s2txbp","name":"CancerData","status":"ready","contacts":[{"contact_name":"Erik Roelofs","contact_email":"erik.roelofs@maastro.nl","contact_orcid":"0000-0003-2172-8669"}],"homepage":"https://www.cancerdata.org","identifier":2295,"description":"The CancerData site is an effort of the Medical Informatics and Knowledge Engineering team (MIKE for short) of Maastro Clinic, Maastricht, The Netherlands. It offers a central, online repository for the sustained storage of clinical protocols, publications and research datasets. The data that are offered can vary from documents, spreadsheets to (bio-)medical images and treatment simulations. CancerData is a registered member of DataCite, which is an international consortium and member of the International DOI Foundation. Via DataCite, we have the ability to offer persistent identifiers to the datasets via the registration of Digital Object Identifiers (DOI).","abbreviation":"candat","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.cancerdata.org/contact","type":"Contact form"},{"url":"https://www.cancerdata.org/rss.xml","type":"Blog/News"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://www.cancerdata.org/search","name":"Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011086","name":"re3data:r3d100011086","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.cancerdata.org/image_archive","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000769","bsg-d000769"],"name":"FAIRsharing record for: CancerData","abbreviation":"candat","url":"https://fairsharing.org/10.25504/FAIRsharing.s2txbp","doi":"10.25504/FAIRsharing.s2txbp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CancerData site is an effort of the Medical Informatics and Knowledge Engineering team (MIKE for short) of Maastro Clinic, Maastricht, The Netherlands. It offers a central, online repository for the sustained storage of clinical protocols, publications and research datasets. The data that are offered can vary from documents, spreadsheets to (bio-)medical images and treatment simulations. CancerData is a registered member of DataCite, which is an international consortium and member of the International DOI Foundation. Via DataCite, we have the ability to offer persistent identifiers to the datasets via the registration of Digital Object Identifiers (DOI).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Oncology","Health Science","Biomedical Science"],"domains":["Tumor","Image","Centrally registered identifier","Radiotherapy"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1372,"relation":"undefined"}],"grants":[{"id":2233,"fairsharing_record_id":2295,"organisation_id":1740,"relation":"maintains","created_at":"2021-09-30T09:25:36.715Z","updated_at":"2021-09-30T09:25:36.715Z","grant_id":null,"is_lead":false,"saved_state":{"id":1740,"name":"MAASTRO Clinic, Maastricht, The Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2297","type":"fairsharing_records","attributes":{"created_at":"2016-05-17T16:08:13.000Z","updated_at":"2023-06-23T10:56:00.525Z","metadata":{"doi":"10.25504/FAIRsharing.wnk2eq","name":"Medical Data Models","status":"ready","contacts":[{"contact_name":"Martin Dugas","contact_email":"dugas@uni-muenster.de","contact_orcid":"0000-0001-9740-0788"}],"homepage":"https://medical-data-models.org","citations":[],"identifier":2297,"description":"MDM-Portal (Medical Data-Models) is a meta-data registry for creating, analysing, sharing and reusing medical forms, developed by the Institute of Medical Informatics, University of Muenster in Germany. see also http://www.ncbi.nlm.nih.gov/pubmed/26868052 Electronic forms for documentation of patient data are an integral part within the workflow of physicians. A huge amount of data is collected either through routine documentation forms (EHRs) for electronic health records or as case report forms (CRFs) for clinical trials. This raises major scientific challenges for health care, since different health information systems are not necessarily compatible with each other and thus information exchange of structured data is hampered. Software vendors provide a variety of individual documentation forms according to their standard contracts, which function as isolated applications. Furthermore, free availability of those forms is rarely the case. Currently less than 5 % of medical forms are freely accessible. Based on this lack of transparency harmonization of data models in health care is extremely cumbersome, thus work and know-how of completed clinical trials and routine documentation in hospitals are hard to be re-used. The MDM-Portal serves as an infrastructure for academic (non-commercial) medical research to contribute a solution to this problem. It already contains more than 6,000 system-independent forms (CDISC ODM Format, www.cdisc.org, Operational Data Model) with more than 470,000 data-elements. This enables researchers to view, discuss, download and export forms in most common technical formats such as PDF, CSV, Excel, SQL, SPSS, R, etc. A growing user community will lead to a growing database of medical forms. In this matter, we would like to encourage all medical researchers to register and add forms and discuss existing forms.","abbreviation":"MDM","data_curation":{"type":"none"},"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013816","name":"re3data:r3d100013816","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://medical-data-models.org/tutorial","type":"open","notes":"Free registration is required to deposit data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000771","bsg-d000771"],"name":"FAIRsharing record for: Medical Data Models","abbreviation":"MDM","url":"https://fairsharing.org/10.25504/FAIRsharing.wnk2eq","doi":"10.25504/FAIRsharing.wnk2eq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MDM-Portal (Medical Data-Models) is a meta-data registry for creating, analysing, sharing and reusing medical forms, developed by the Institute of Medical Informatics, University of Muenster in Germany. see also http://www.ncbi.nlm.nih.gov/pubmed/26868052 Electronic forms for documentation of patient data are an integral part within the workflow of physicians. A huge amount of data is collected either through routine documentation forms (EHRs) for electronic health records or as case report forms (CRFs) for clinical trials. This raises major scientific challenges for health care, since different health information systems are not necessarily compatible with each other and thus information exchange of structured data is hampered. Software vendors provide a variety of individual documentation forms according to their standard contracts, which function as isolated applications. Furthermore, free availability of those forms is rarely the case. Currently less than 5 % of medical forms are freely accessible. Based on this lack of transparency harmonization of data models in health care is extremely cumbersome, thus work and know-how of completed clinical trials and routine documentation in hospitals are hard to be re-used. The MDM-Portal serves as an infrastructure for academic (non-commercial) medical research to contribute a solution to this problem. It already contains more than 6,000 system-independent forms (CDISC ODM Format, www.cdisc.org, Operational Data Model) with more than 470,000 data-elements. This enables researchers to view, discuss, download and export forms in most common technical formats such as PDF, CSV, Excel, SQL, SPSS, R, etc. A growing user community will lead to a growing database of medical forms. In this matter, we would like to encourage all medical researchers to register and add forms and discuss existing forms.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17401},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12750}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Biomedical Science","Translational Medicine"],"domains":["Patient care","Data model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1159,"pubmed_id":26868052,"title":"Portal of medical data models: information infrastructure for medical research and healthcare","year":2016,"url":"http://doi.org/10.1093/database/bav121","authors":"Dugas M, Neuhaus P, Meidt A, Doods J, Storck M, Bruland P, Varghese J","journal":"Database","doi":"10.1093/database/bav121","created_at":"2021-09-30T08:24:28.885Z","updated_at":"2021-09-30T08:24:28.885Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":912,"relation":"undefined"}],"grants":[{"id":2236,"fairsharing_record_id":2297,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:36.829Z","updated_at":"2021-09-30T09:25:36.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2235,"fairsharing_record_id":2297,"organisation_id":1423,"relation":"maintains","created_at":"2021-09-30T09:25:36.787Z","updated_at":"2021-09-30T09:25:36.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1423,"name":"Institute of Medical Informatics (IMI), University of Muenster, Muenster, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2298","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T08:01:15.000Z","updated_at":"2023-06-22T16:57:21.037Z","metadata":{"doi":"10.25504/FAIRsharing.8zqzm9","name":"Ontology and Knowledge Base of Probability Distributions","status":"ready","contacts":[{"contact_name":"Maciej J Swat","contact_email":"maciej.swat@gmail.com"}],"homepage":"http://www.probonto.org","citations":[],"identifier":2298,"description":"ProbOnto, is an ontology-based knowledge base of probability distributions, featuring more than 150 uni- and multivariate distributions with their defining functions, characteristics, relationships and re-parameterization formulas. It can be used for model annotation and facilitates the encoding of distribution-based models, related functions and quantities. ProbOnto is both an ontology and a knowledge base, however its primary focus is the knowledge base.","abbreviation":"ProbOnto","data_curation":{"type":"automated"},"support_links":[{"url":"http://www.probonto.org","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biosamples/submit","name":"Movies and Figures","type":"Help documentation"},{"url":"https://github.com/probonto/ontology/issues","name":"Github issue tracker","type":"Github"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000772","bsg-d000772"],"name":"FAIRsharing record for: Ontology and Knowledge Base of Probability Distributions","abbreviation":"ProbOnto","url":"https://fairsharing.org/10.25504/FAIRsharing.8zqzm9","doi":"10.25504/FAIRsharing.8zqzm9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProbOnto, is an ontology-based knowledge base of probability distributions, featuring more than 150 uni- and multivariate distributions with their defining functions, characteristics, relationships and re-parameterization formulas. It can be used for model annotation and facilitates the encoding of distribution-based models, related functions and quantities. ProbOnto is both an ontology and a knowledge base, however its primary focus is the knowledge base.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Statistics","Mathematics","Computational Biology","Systems Biology"],"domains":["Mathematical model","Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1171,"pubmed_id":27153608,"title":"ProbOnto: ontology and knowledge base of probability distributions","year":2016,"url":"http://doi.org/10.1093/bioinformatics/btw170","authors":"Maciej J Swat, Pierre Grenon and Sarala M Wimalaratne","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btw170","created_at":"2021-09-30T08:24:30.124Z","updated_at":"2021-09-30T08:24:30.124Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2091,"relation":"undefined"}],"grants":[{"id":2238,"fairsharing_record_id":2298,"organisation_id":786,"relation":"maintains","created_at":"2021-09-30T09:25:36.904Z","updated_at":"2021-09-30T09:25:36.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":786,"name":"Drug Disease Model Resource (DDMoRe), Sandwich, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2237,"fairsharing_record_id":2298,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:25:36.867Z","updated_at":"2021-09-30T09:31:17.718Z","grant_id":1106,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative, Europe","grant":"115156","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9844,"fairsharing_record_id":2298,"organisation_id":3685,"relation":"undefined","created_at":"2022-09-02T08:02:44.004Z","updated_at":"2022-09-02T08:02:44.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":3685,"name":"UCL Institute of Health Informatics","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":9843,"fairsharing_record_id":2298,"organisation_id":908,"relation":"undefined","created_at":"2022-09-02T08:02:44.004Z","updated_at":"2022-09-02T08:02:44.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2307","type":"fairsharing_records","attributes":{"created_at":"2016-06-21T00:43:55.000Z","updated_at":"2024-07-08T11:03:28.450Z","metadata":{"doi":"10.25504/FAIRsharing.2y6rkq","name":"Advanced Ecological Knowledge and Observation System","status":"deprecated","contacts":[{"contact_name":"Dr Anita Smyth","contact_email":"anita.smyth@adelaide.edu.au","contact_orcid":"0000-0003-2214-8842"}],"homepage":"http://www.aekos.org.au/","citations":[],"identifier":2307,"description":"The Advanced Ecological Knowledge and Observation System from the Terrestrial Ecosystem Research Network (TERN AEKOS) focuses on ecological plot data that are generated by land-based ecosystem projects that use survey, monitoring and experimental studies to collect raw data on plants, animals (including traits) and their immediate environments at the same location. Plot data are observations sampled by using scientific techniques such as quadrants, grids, transects, animal trap arrays and other structured sampling techniques.","abbreviation":"TERN AEKOS","data_curation":{},"support_links":[{"url":"http://www.ecoinformatics.org.au/contact_us","name":"Contact Information","type":"Contact form"},{"url":"http://www.ecoinformatics.org.au/feedback_centre","name":"Feedback Centre","type":"Contact form"},{"url":"esupport@tern.org.au","name":"General Contact","type":"Support email"},{"url":"http://www.ecoinformatics.org.au/help_centre","name":"Help Centre","type":"Help documentation"},{"url":"http://www.ecoinformatics.org.au/eco-informatics_facility","name":"About","type":"Help documentation"},{"url":"https://twitter.com/tern_aekos","name":"@tern_aekos","type":"Twitter"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2024-07-08","deprecation_reason":"AusPlots and Queensland CORVEG (QBEIS in EcoPlots) data have been migrated to TERN EcoPlots, a new survey-based data integration platform. Please navigate to the TERN EcoPlots portal to discover and access AusPlots and QEBIS data.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000783","bsg-d000783"],"name":"FAIRsharing record for: Advanced Ecological Knowledge and Observation System","abbreviation":"TERN AEKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.2y6rkq","doi":"10.25504/FAIRsharing.2y6rkq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Advanced Ecological Knowledge and Observation System from the Terrestrial Ecosystem Research Network (TERN AEKOS) focuses on ecological plot data that are generated by land-based ecosystem projects that use survey, monitoring and experimental studies to collect raw data on plants, animals (including traits) and their immediate environments at the same location. Plot data are observations sampled by using scientific techniques such as quadrants, grids, transects, animal trap arrays and other structured sampling techniques.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11249}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Ecology","Biodiversity","Ecosystem Science"],"domains":["Centrally registered identifier","Protocol"],"taxonomies":["Animalia","Plantae"],"user_defined_tags":["SDM modelling data","Species-environment interaction","Trait modelling data"],"countries":["Australia"],"publications":[{"id":181,"pubmed_id":null,"title":"Next-Generation Online Data and Information Infrastructure for the Ecological Science Community","year":2017,"url":"http://doi.org/https://doi.org/10.1201/9781315368252-14","authors":"Turner, David J., Smyth, Anita K., Walker, Craig M., Lowe, Andrew J.","journal":"In Terrestrial Ecosystem Research Infrastructures edited by Abad Chabbi and Henry W. Loescher. Boca Raton, FL, CRC Press, pp: 341–368","doi":"https://doi.org/10.1201/9781315368252-14","created_at":"2021-09-30T08:22:39.773Z","updated_at":"2021-09-30T08:22:39.773Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1899,"relation":"undefined"},{"licence_name":"TERN Data Licensing Policy","licence_id":780,"licence_url":"https://www.tern.org.au/datalicence/","link_id":1903,"relation":"undefined"}],"grants":[{"id":2256,"fairsharing_record_id":2307,"organisation_id":2731,"relation":"funds","created_at":"2021-09-30T09:25:37.524Z","updated_at":"2021-09-30T09:25:37.524Z","grant_id":null,"is_lead":false,"saved_state":{"id":2731,"name":"TERN","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2257,"fairsharing_record_id":2307,"organisation_id":2859,"relation":"maintains","created_at":"2021-09-30T09:25:37.549Z","updated_at":"2021-09-30T09:25:37.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":2859,"name":"Thu University of Adelaide (TERN Eco-informatics)","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2255,"fairsharing_record_id":2307,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:37.498Z","updated_at":"2021-09-30T09:29:42.271Z","grant_id":366,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","grant":"D13/603918","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2308","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T10:26:21.000Z","updated_at":"2023-12-15T10:31:48.412Z","metadata":{"doi":"10.25504/FAIRsharing.d6xz90","name":"Structual and functional MRI data","status":"in_development","contacts":[{"contact_name":"Tomas Slavicek","contact_email":"tomas.slavicek@ceitec.muni.cz"}],"homepage":"http://mafil.ceitec.cz/en/","identifier":2308,"description":"MRI data for brain and mind research incl. simultaneous recording of EEG and electrophysiology. This resource has restricted access.","abbreviation":"MAFIL","data_curation":{"type":"not found"},"year_creation":2015,"data_versioning":"not found","data_access_condition":{"url":"https://mafil.ceitec.cz/en/research-data-handling/","type":"controlled","notes":"User can request data by email."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://mafil.ceitec.cz/en/research-data-handling/","type":"controlled","notes":"Data is obtained through MAFIL imaging services."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000784","bsg-d000784"],"name":"FAIRsharing record for: Structual and functional MRI data","abbreviation":"MAFIL","url":"https://fairsharing.org/10.25504/FAIRsharing.d6xz90","doi":"10.25504/FAIRsharing.d6xz90","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MRI data for brain and mind research incl. simultaneous recording of EEG and electrophysiology. This resource has restricted access.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11226},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11371}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Computational Neuroscience","Biomedical Science","Neuroscience"],"domains":["Medical imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[],"licence_links":[{"licence_name":"MAFIL Data available on request","licence_id":500,"licence_url":"http://mafil.ceitec.cz/en/documents-for-download/","link_id":2405,"relation":"undefined"}],"grants":[{"id":2258,"fairsharing_record_id":2308,"organisation_id":1912,"relation":"maintains","created_at":"2021-09-30T09:25:37.578Z","updated_at":"2021-09-30T09:25:37.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":1912,"name":"Multimodal and Functional Imaging Laboratory, Central European Institute of Technology (CEITEC), Brno, Czech Republic","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2310","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T11:22:53.000Z","updated_at":"2023-12-15T10:33:01.892Z","metadata":{"doi":"10.25504/FAIRsharing.we2r5a","name":"SSBD: a platform for Systems Science of Biological Dynamics","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp"}],"homepage":"https://ssbd.riken.jp","citations":[],"identifier":2310,"description":"SSBD is a database that collects and shares quantitative biological dynamics data, microscopy images, and software tools. SSBD provides a rich set of resources for analyzing quantitative biological data, such as single-molecule, cell, and gene expression nuclei. Quantitative biological data are collected from a variety of species, sources and methods. These include data obtained from both experiment and computational simulation.","abbreviation":"SSBD","data_curation":{"url":"https://ssbd.riken.jp/database/share-your-data/","type":"manual"},"support_links":[{"url":"http://ssbd.qbic.riken.jp/manuals/","name":"Documentation","type":"Help documentation"},{"url":"http://ssbd.qbic.riken.jp/news/","name":"News","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/openssbd/OpenSSBD/","name":"Open source version of the SSBD software platform"},{"url":"http://ssbd.qbic.riken.jp/software/","name":"List of software tools available for download"},{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ssbd.riken.jp/database/share-your-data/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000786","bsg-d000786"],"name":"FAIRsharing record for: SSBD: a platform for Systems Science of Biological Dynamics","abbreviation":"SSBD","url":"https://fairsharing.org/10.25504/FAIRsharing.we2r5a","doi":"10.25504/FAIRsharing.we2r5a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SSBD is a database that collects and shares quantitative biological dynamics data, microscopy images, and software tools. SSBD provides a rich set of resources for analyzing quantitative biological data, such as single-molecule, cell, and gene expression nuclei. Quantitative biological data are collected from a variety of species, sources and methods. These include data obtained from both experiment and computational simulation.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11228},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11373}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular Dynamics","Developmental Biology","Cell Biology"],"domains":["Bioimaging","Microscopy","High-content screen"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Dictyostelium discoideum","Drosophila melanogaster","Escherichia coli","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1383,"pubmed_id":27412095,"title":"SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena.","year":2016,"url":"http://doi.org/10.1093/bioinformatics/btw417","authors":"Tohsato Y,Ho KH,Kyoda K,Onami S","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btw417","created_at":"2021-09-30T08:24:54.660Z","updated_at":"2021-09-30T08:24:54.660Z"}],"licence_links":[{"licence_name":"Individual licenses based on creative commons are annotated to each dataset","licence_id":436,"licence_url":"https://creativecommons.org/","link_id":2357,"relation":"undefined"},{"licence_name":"SSBD Copyright Notice","licence_id":757,"licence_url":"http://ssbd.qbic.riken.jp/copyright/","link_id":2358,"relation":"undefined"}],"grants":[{"id":2263,"fairsharing_record_id":2310,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:25:37.763Z","updated_at":"2021-09-30T09:25:37.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2262,"fairsharing_record_id":2310,"organisation_id":2443,"relation":"maintains","created_at":"2021-09-30T09:25:37.721Z","updated_at":"2023-06-30T19:54:55.304Z","grant_id":null,"is_lead":true,"saved_state":{"id":2443,"name":"RIKEN Center for Biosystems Dynamics Research","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10730,"fairsharing_record_id":2310,"organisation_id":1592,"relation":"funds","created_at":"2023-06-30T19:54:55.167Z","updated_at":"2023-06-30T19:54:55.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2311","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T13:13:36.000Z","updated_at":"2021-11-24T13:19:32.066Z","metadata":{"doi":"10.25504/FAIRsharing.pd7q00","name":"SYSGRO: A resource of fission yeast phenotypic data \u0026 analysis","status":"deprecated","contacts":[{"contact_name":"Rafael E. Carazo Salas","contact_email":"cre20@cam.ac.uk"}],"homepage":"http://smc.sysgro.org/","identifier":2311,"description":"SYSGRO is a high throughput/high-content microscopy fission yeast phenotype database from the Carazo Salas Lab in the University of Cambridge UK, funded thanks to a EU ERC Starting Grant. It contains cell shape, microtubule \u0026 cell cycle progression computational phenotypes for 3004 non-essential gene knockout cell lines. It is the first multi-phenotypic microscopy profiling functional genomics resource for any organism/","abbreviation":"SYSGRO","data_curation":{"type":"not found"},"support_links":[{"url":"contact@sysgro.org","type":"Support email"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2020-03-05","deprecation_reason":"The homepage no longer exists, and the project appears to be closed (https://cordis.europa.eu/project/id/243283/reporting). Please contact us if you have any information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000787","bsg-d000787"],"name":"FAIRsharing record for: SYSGRO: A resource of fission yeast phenotypic data \u0026 analysis","abbreviation":"SYSGRO","url":"https://fairsharing.org/10.25504/FAIRsharing.pd7q00","doi":"10.25504/FAIRsharing.pd7q00","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SYSGRO is a high throughput/high-content microscopy fission yeast phenotype database from the Carazo Salas Lab in the University of Cambridge UK, funded thanks to a EU ERC Starting Grant. It contains cell shape, microtubule \u0026 cell cycle progression computational phenotypes for 3004 non-essential gene knockout cell lines. It is the first multi-phenotypic microscopy profiling functional genomics resource for any organism/","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11229},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11374}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","Cell cycle","Cell division","Phenotype","High-content screen"],"taxonomies":["Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1239,"pubmed_id":25373780,"title":"A genomic Multiprocess survey of machineries that control and link cell shape, microtubule organization, and cell-cycle progression.","year":2014,"url":"http://doi.org/10.1016/j.devcel.2014.09.005","authors":"Graml V,Studera X,Lawson JL,Chessel A,Geymonat M,Bortfeld-Miller M,Walter T,Wagstaff L,Piddini E,Carazo-Salas RE","journal":"Dev Cell","doi":"10.1016/j.devcel.2014.09.005","created_at":"2021-09-30T08:24:38.224Z","updated_at":"2021-09-30T08:24:38.224Z"}],"licence_links":[],"grants":[{"id":2264,"fairsharing_record_id":2311,"organisation_id":2783,"relation":"maintains","created_at":"2021-09-30T09:25:37.801Z","updated_at":"2021-09-30T09:25:37.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":2783,"name":"The Gurdon Institute, University of Cambridge, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2265,"fairsharing_record_id":2311,"organisation_id":1050,"relation":"funds","created_at":"2021-09-30T09:25:37.841Z","updated_at":"2021-09-30T09:31:23.792Z","grant_id":1150,"is_lead":false,"saved_state":{"id":1050,"name":"Fraunhofer-Institut fr Angewandte Informationstechnik (FIT), Sankt Augstin, Germany","grant":"ERC Starting grant","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2314","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T13:45:13.000Z","updated_at":"2021-11-24T13:19:32.223Z","metadata":{"doi":"10.25504/FAIRsharing.88kgtp","name":"Bioimaging","status":"deprecated","contacts":[{"contact_name":"Jaime Prilusky","contact_email":"jaime.prilusky@weizmann.ac.il","contact_orcid":"0000-0002-7019-0191"}],"homepage":"http://bioimg.weizmann.ac.il","identifier":2314,"description":"Bioimg is a central storage server for all the imaging data acquired at the Imaging Units at theWeizmann Institute of Science (WIS) together with instruments of Research Groups in WIS. The data is automatic and incrementally copied to Bioimg several times a day. Metadata can be added to the files to track experiment's information and important notes and to enable efficient search. The stored data is available campus-wide over the network, and can be shared with other users. The Bioimg is available for other Institutions. FAIRsharing does not know the current status of this resource, and we have therefore marked its status as Uncertain. Please contact us if you have any recent information on this resource.","abbreviation":"Bioimg","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. This resource was marked within FAIRsharing as Uncertain in 2019, and then further updated to a deprecated status when no further information could be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000790","bsg-d000790"],"name":"FAIRsharing record for: Bioimaging","abbreviation":"Bioimg","url":"https://fairsharing.org/10.25504/FAIRsharing.88kgtp","doi":"10.25504/FAIRsharing.88kgtp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bioimg is a central storage server for all the imaging data acquired at the Imaging Units at theWeizmann Institute of Science (WIS) together with instruments of Research Groups in WIS. The data is automatic and incrementally copied to Bioimg several times a day. Metadata can be added to the files to track experiment's information and important notes and to enable efficient search. The stored data is available campus-wide over the network, and can be shared with other users. The Bioimg is available for other Institutions. FAIRsharing does not know the current status of this resource, and we have therefore marked its status as Uncertain. Please contact us if you have any recent information on this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11232},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11377}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","High-content screen"],"taxonomies":["All"],"user_defined_tags":["Pre-clinical imaging"],"countries":["Israel"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2319","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T14:54:25.000Z","updated_at":"2023-06-23T16:20:37.948Z","metadata":{"doi":"10.25504/FAIRsharing.nv1n5s","name":"Liverpool CCI OMERO","status":"ready","contacts":[{"contact_name":"Facility Manager","contact_email":"cci@liv.ac.uk"}],"homepage":"http://cci02.liv.ac.uk/gallery/","identifier":2319,"description":"A repository of image / SPM data to support users of the Centre for Cell Imaging, University of Liverpool.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2014,"data_versioning":"not found","data_access_condition":{"url":"https://cci02.liv.ac.uk/gallery/","type":"partially open","notes":"Only public data is available for user logged in with \"public user\""},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000795","bsg-d000795"],"name":"FAIRsharing record for: Liverpool CCI OMERO","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nv1n5s","doi":"10.25504/FAIRsharing.nv1n5s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A repository of image / SPM data to support users of the Centre for Cell Imaging, University of Liverpool.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11237},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11382}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1353,"pubmed_id":null,"title":"The Spherical Nucleic Acids mRNA Detection Paradox","year":2015,"url":"http://doi.org/10.14293/S2199-1006.1.SOR-CHEM.AZ1MJU.v2","authors":"D Mason, G Carolan, M Held, J Comenge, S Cowman, R Lévy","journal":"Science Open","doi":"10.14293/S2199-1006.1.SOR-CHEM.AZ1MJU.v2","created_at":"2021-09-30T08:24:51.394Z","updated_at":"2021-09-30T08:24:51.394Z"},{"id":1354,"pubmed_id":27009190,"title":"Selectivity in glycosaminoglycan binding dictates the distribution and diffusion of fibroblast growth factors in the pericellular matrix.","year":2016,"url":"http://doi.org/10.1098/rsob.150277","authors":"Sun C,Marcello M,Li Y,Mason D,Levy R,Fernig DG","journal":"Open Biol","doi":"10.1098/rsob.150277","created_at":"2021-09-30T08:24:51.501Z","updated_at":"2021-09-30T08:24:51.501Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":442,"relation":"undefined"}],"grants":[{"id":2275,"fairsharing_record_id":2319,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:38.222Z","updated_at":"2021-09-30T09:32:46.797Z","grant_id":1774,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"MR/K015931/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2274,"fairsharing_record_id":2319,"organisation_id":458,"relation":"maintains","created_at":"2021-09-30T09:25:38.186Z","updated_at":"2021-09-30T09:25:38.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":458,"name":"Centre for Cell Imaging, Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2321","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T15:51:43.000Z","updated_at":"2021-11-24T13:19:32.519Z","metadata":{"doi":"10.25504/FAIRsharing.erhnxs","name":"LCI facility data repository","status":"deprecated","contacts":[{"contact_name":"Sylvie Le Guyader","contact_email":"Sylvie.le.guyader@ki.se"}],"homepage":"http://ki.se/en/bionut/welcome-to-the-lci-facility","identifier":2321,"description":"This database is in development and as yet does not have a description available .","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource's homepage no longer has any reference to a data repository, and as such this record has been deprecated","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000797","bsg-d000797"],"name":"FAIRsharing record for: LCI facility data repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.erhnxs","doi":"10.25504/FAIRsharing.erhnxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is in development and as yet does not have a description available .","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11239},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11384}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","High-content screen"],"taxonomies":[],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[],"grants":[{"id":2277,"fairsharing_record_id":2321,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:25:38.302Z","updated_at":"2021-09-30T09:25:38.302Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2323","type":"fairsharing_records","attributes":{"created_at":"2016-08-03T11:18:49.000Z","updated_at":"2022-07-20T12:46:38.124Z","metadata":{"doi":"10.25504/FAIRsharing.xypv6g","name":"ViBE-Z: The Virtual Brain Explorer for Zebrafish","status":"deprecated","contacts":[{"contact_name":"Olaf Ronneberger","contact_email":"ronneber@informatik.uni-freiburg.de"}],"homepage":"http://vibez.informatik.uni-freiburg.de","identifier":2323,"description":"ViBE-Z, the Virtual Brain Explorer for Zebrafish is an imaging and image analysis framework for virtual colocalization studies in larval zebrafish brains, currently available for 72hpf, 48hpf and 96hpf old larvae. ViBE-Z contains a database with precisely aligned gene expression patterns (1um 3 resolution), an anatomical atlas, and a software. This software creates high-quality data sets by fusing multiple confocal microscopic image stacks, and aligns these data sets to the standard larva.","abbreviation":"ViBE-Z","data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"not found","deprecation_date":"2021-9-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000799","bsg-d000799"],"name":"FAIRsharing record for: ViBE-Z: The Virtual Brain Explorer for Zebrafish","abbreviation":"ViBE-Z","url":"https://fairsharing.org/10.25504/FAIRsharing.xypv6g","doi":"10.25504/FAIRsharing.xypv6g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ViBE-Z, the Virtual Brain Explorer for Zebrafish is an imaging and image analysis framework for virtual colocalization studies in larval zebrafish brains, currently available for 72hpf, 48hpf and 96hpf old larvae. ViBE-Z contains a database with precisely aligned gene expression patterns (1um 3 resolution), an anatomical atlas, and a software. This software creates high-quality data sets by fusing multiple confocal microscopic image stacks, and aligns these data sets to the standard larva.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11241},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11386}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy"],"domains":["Bioimaging","Microscopy","Gene expression","Brain imaging"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1245,"pubmed_id":22706672,"title":"ViBE-Z: a framework for 3D virtual colocalization analysis in zebrafish larval brains.","year":2012,"url":"http://doi.org/10.1038/nmeth.2076","authors":"Ronneberger O,Liu K,Rath M,Ruebeta D,Mueller T,Skibbe H,Drayer B,Schmidt T,Filippi A,Nitschke R,Brox T,Burkhardt H,Driever W","journal":"Nat Methods","doi":"10.1038/nmeth.2076","created_at":"2021-09-30T08:24:38.865Z","updated_at":"2021-09-30T08:24:38.865Z"}],"licence_links":[],"grants":[{"id":2278,"fairsharing_record_id":2323,"organisation_id":1713,"relation":"maintains","created_at":"2021-09-30T09:25:38.334Z","updated_at":"2021-09-30T09:25:38.334Z","grant_id":null,"is_lead":false,"saved_state":{"id":1713,"name":"Life Imaging Center (LIC), University of Freiburg, Freiburg, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2324","type":"fairsharing_records","attributes":{"created_at":"2016-08-10T13:30:46.000Z","updated_at":"2023-06-22T16:28:23.712Z","metadata":{"doi":"10.25504/FAIRsharing.7ynng","name":"Collection of Anti Microbial Petides R3","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"biomedinfo@nirrh.res.in"}],"homepage":"http://www.camp3.bicnirrh.res.in/","citations":[],"identifier":2324,"description":"CAMPR3 (Collection of Anti-Microbial Peptides) has been generated to enhance research into AMP families. The collection is compatible with well-known databases such as PubMed and Uniprot with information like sequence, protein definition, accession numbers, structures as well as relevant organisms. Making this database a useful tool in AMP studies.","abbreviation":"CAMP R3","data_curation":{"url":"https://doi.org/10.1093/nar/gkv1051","type":"automated"},"support_links":[{"url":"http://www.camp3.bicnirrh.res.in/campHelp.php","name":"Help","type":"Help documentation"},{"url":"http://www.camp3.bicnirrh.res.in/dbStat.php","name":"Statistics","type":"Other"},{"url":"http://www.camp3.bicnirrh.res.in/aboutUs.php","name":"About","type":"Other"},{"url":"camp@bicnirrh.res.in","type":"Support email"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://www.campsign.bicnirrh.res.in","name":"CampSign"}],"data_access_condition":{"url":"https://doi.org/10.1093/nar/gkv1051","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkv1051","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000800","bsg-d000800"],"name":"FAIRsharing record for: Collection of Anti Microbial Petides R3","abbreviation":"CAMP R3","url":"https://fairsharing.org/10.25504/FAIRsharing.7ynng","doi":"10.25504/FAIRsharing.7ynng","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CAMPR3 (Collection of Anti-Microbial Peptides) has been generated to enhance research into AMP families. The collection is compatible with well-known databases such as PubMed and Uniprot with information like sequence, protein definition, accession numbers, structures as well as relevant organisms. Making this database a useful tool in AMP studies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Proteogenomics"],"domains":[],"taxonomies":["Bacteria","Escherichia coli","Microbiota"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":358,"pubmed_id":19923233,"title":"CAMP: a useful resource for research on antimicrobial peptides.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1021","authors":"Thomas S,Karnik S,Barai RS,Jayaraman VK,Idicula-Thomas S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1021","created_at":"2021-09-30T08:22:58.471Z","updated_at":"2021-09-30T11:28:45.800Z"},{"id":370,"pubmed_id":27089856,"title":"Leveraging family-specific signatures for AMP discovery and high-throughput annotation.","year":2016,"url":"http://doi.org/10.1038/srep24684","authors":"Waghu FH, Barai RS, Idicula-Thomas S.","journal":"Scientific Reports","doi":"10.1038/srep24684","created_at":"2021-09-30T08:22:59.758Z","updated_at":"2021-09-30T08:22:59.758Z"},{"id":744,"pubmed_id":26467475,"title":"CAMPR3: a database on sequences, structures and signatures of antimicrobial peptides.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1051","authors":"Waghu FH,Barai RS,Gurung P,Idicula-Thomas S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1051","created_at":"2021-09-30T08:23:41.935Z","updated_at":"2021-09-30T11:28:49.417Z"},{"id":1664,"pubmed_id":24265220,"title":"CAMP: Collection of sequences and structures of antimicrobial peptides.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1157","authors":"Waghu FH,Gopi L,Barai RS,Ramteke P,Nizami B,Idicula-Thomas S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1157","created_at":"2021-09-30T08:25:26.368Z","updated_at":"2021-09-30T11:29:18.303Z"}],"licence_links":[],"grants":[{"id":2280,"fairsharing_record_id":2324,"organisation_id":1331,"relation":"funds","created_at":"2021-09-30T09:25:38.382Z","updated_at":"2021-09-30T09:25:38.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":1331,"name":"Indian Council of Medical Research, India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2279,"fairsharing_record_id":2324,"organisation_id":741,"relation":"funds","created_at":"2021-09-30T09:25:38.358Z","updated_at":"2021-09-30T09:25:38.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":741,"name":"Department of Science and Technology, Government of India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2281,"fairsharing_record_id":2324,"organisation_id":2006,"relation":"maintains","created_at":"2021-09-30T09:25:38.413Z","updated_at":"2021-09-30T09:25:38.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":2006,"name":"National Institute for Research in Reproductive Health (NIRRH), Mumbai, India","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2325","type":"fairsharing_records","attributes":{"created_at":"2016-08-17T02:47:58.000Z","updated_at":"2023-07-06T10:01:16.447Z","metadata":{"doi":"10.25504/FAIRsharing.dq46p7","name":"Life Science Database Archive","status":"ready","contacts":[{"contact_name":"NBDC catalog team","contact_email":"catalog@integbio.jp","contact_orcid":null}],"homepage":"http://dbarchive.biosciencedbc.jp/index-e.html","citations":[],"identifier":2325,"description":"If a database is inadequate in terms of its description, unclear with respect to the terms of use, or is not downloadable, it may not be fully used, cited or rightly acknowledged by the (research) communities. This is even true for databases with high-quality datasets. The Life Science Database Archive maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata (description of datasets) in a unified format, and to access and download the datasets with clear terms of use (see here for detailed descriptions). In addition, the Archive provides datasets in forms friendly to different types of users in public and private institutions, and thereby supports further contribution of each research to life science.","abbreviation":"LSDB Archive","data_curation":{"type":"none"},"support_links":[{"url":"dbarchive@biosciencedbc.jp","type":"Support email"},{"url":"https://dbarchive.biosciencedbc.jp/contents-en/about/about.html","name":"About","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012368","name":"re3data:r3d100012368","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://biosciencedbc.jp/en/service/","type":"open","notes":"Data must be deposited throught dedicated interfaces."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000801","bsg-d000801"],"name":"FAIRsharing record for: Life Science Database Archive","abbreviation":"LSDB Archive","url":"https://fairsharing.org/10.25504/FAIRsharing.dq46p7","doi":"10.25504/FAIRsharing.dq46p7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: If a database is inadequate in terms of its description, unclear with respect to the terms of use, or is not downloadable, it may not be fully used, cited or rightly acknowledged by the (research) communities. This is even true for databases with high-quality datasets. The Life Science Database Archive maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata (description of datasets) in a unified format, and to access and download the datasets with clear terms of use (see here for detailed descriptions). In addition, the Archive provides datasets in forms friendly to different types of users in public and private institutions, and thereby supports further contribution of each research to life science.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12754}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Proteomics","Life Science","Transcriptomics"],"domains":["Gene expression","Transcription factor","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[{"id":2282,"fairsharing_record_id":2325,"organisation_id":1953,"relation":"maintains","created_at":"2021-09-30T09:25:38.474Z","updated_at":"2021-09-30T09:25:38.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2299","type":"fairsharing_records","attributes":{"created_at":"2016-05-19T08:21:24.000Z","updated_at":"2023-12-15T10:31:47.912Z","metadata":{"doi":"10.25504/FAIRsharing.tje0nv","name":"The ITHANET Portal","status":"ready","contacts":[{"contact_name":"Petros Kountouris","contact_email":"petrosk@cing.ac.cy","contact_orcid":"0000-0003-2681-4355"}],"homepage":"http://www.ithanet.eu","identifier":2299,"description":"The ITHANET Portal represents an expanding resource for clinicians and researchers dealing with haemoglobinopathies and a port of call for patients in search of professional advice. The ITHANET Portal integrates information on news, events, clinical trials and thalassaemia-related organisations, research projects and other scientific networks, wiki-based content of protocols, clinical guidelines and educational articles. Most importantly, disease-specific databases are developed and maintained on the ITHANET Portal, such as databases of haemoglobin variations (IthaGenes), epidemiology (IthaMaps) and HbF inducers (IthaDrugs).","abbreviation":"ITHANET","data_curation":{"url":"https://www.ithanet.eu/home/faqs","type":"manual/automated"},"support_links":[{"url":"http://www.ithanet.eu/about-us/contact-us","type":"Contact form"},{"url":"http://www.ithanet.eu/about-us/f-a-q","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ithanet.eu/ithapedia/index.php/Main_Page","type":"Help documentation"},{"url":"https://twitter.com/ithanet_portal","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ithanet.eu/contact","type":"open","notes":"Reporting any correction or new content must be done using the online Contact Form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000773","bsg-d000773"],"name":"FAIRsharing record for: The ITHANET Portal","abbreviation":"ITHANET","url":"https://fairsharing.org/10.25504/FAIRsharing.tje0nv","doi":"10.25504/FAIRsharing.tje0nv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ITHANET Portal represents an expanding resource for clinicians and researchers dealing with haemoglobinopathies and a port of call for patients in search of professional advice. The ITHANET Portal integrates information on news, events, clinical trials and thalassaemia-related organisations, research projects and other scientific networks, wiki-based content of protocols, clinical guidelines and educational articles. Most importantly, disease-specific databases are developed and maintained on the ITHANET Portal, such as databases of haemoglobin variations (IthaGenes), epidemiology (IthaMaps) and HbF inducers (IthaDrugs).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12751}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science","Biomedical Science","Epidemiology"],"domains":["DNA structural variation","Biomarker","Mutation","Genetic polymorphism","Disease phenotype","Disease","Allele","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Cyprus"],"publications":[{"id":1154,"pubmed_id":25058394,"title":"IthaGenes: an interactive database for haemoglobin variations and epidemiology.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0103020","authors":"Kountouris P, Lederer CW, Fanis P, Feleki X, Old J, Kleanthous M","journal":"PLoS One","doi":"10.1371/journal.pone.0103020","created_at":"2021-09-30T08:24:28.341Z","updated_at":"2021-09-30T08:24:28.341Z"},{"id":1155,"pubmed_id":19657830,"title":"An electronic infrastructure for research and treatment of the thalassemias and other hemoglobinopathies: the Euro-mediterranean ITHANET project.","year":2009,"url":"http://doi.org/10.1080/03630260903089177","authors":"Lederer CW, Basak AN, Aydinok Y, Christou S, El-Beshlawy A, Eleftheriou A, Fattoum S, Felice AE, Fibach E, Galanello R, Gambari R, Gavrila L, Giordano PC, Grosveld F, Hassapopoulou H, Hladka E, Kanavakis E, Locatelli F, Old J, Patrinos GP, Romeo G, Taher A, Traeger-Synodinos J, Vassiliou P, Villegas A, Voskaridou E, Wajcman H, Zafeiropoulos A, Kleanthous M","journal":"Hemoglobin","doi":"10.1080/03630260903089177","created_at":"2021-09-30T08:24:28.449Z","updated_at":"2021-09-30T08:24:28.449Z"}],"licence_links":[],"grants":[{"id":9260,"fairsharing_record_id":2299,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:26.029Z","updated_at":"2022-04-11T12:07:26.048Z","grant_id":1647,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"306201","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2301","type":"fairsharing_records","attributes":{"created_at":"2016-06-03T14:54:08.000Z","updated_at":"2022-05-19T17:58:56.631Z","metadata":{"doi":"10.25504/FAIRsharing.meh9wz","name":"Acytostelium Gene Database","status":"deprecated","contacts":[{"contact_name":"Acytostelium genome consortium","contact_email":"hidek@biol.tsukuba.ac.jp"}],"homepage":"http://cosmos.bot.kyoto-u.ac.jp/acytodb//cgi-bin/index.cgi?org=as","citations":[],"identifier":2301,"description":"Genome and transcriptome database of Acytostelium subglobosum","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000775","bsg-d000775"],"name":"FAIRsharing record for: Acytostelium Gene Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.meh9wz","doi":"10.25504/FAIRsharing.meh9wz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genome and transcriptome database of Acytostelium subglobosum","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["DNA sequence data","Gene model annotation"],"taxonomies":["Acytostelium subglobosum"],"user_defined_tags":[],"countries":["Japan","United Kingdom"],"publications":[{"id":1139,"pubmed_id":25758444,"title":"Comparative genome and transcriptome analyses of the social amoeba Acytostelium subglobosum that accomplishes multicellular development without germ-soma differentiation","year":2015,"url":"http://doi.org/10.1186/s12864-015-1278-x","authors":"Urushihara H, Kuwayama H, Fukuhara K, Itoh T, Kagoshima H, Shin-I T, Toyoda A, Ohishi K, Taniguchi T, Noguchi H, Kuroki Y, Hata T, Uchi K, Mohri K, King JS, Insall RH, Kohara Y, Fujiyama A","journal":"BMC Genomics","doi":"10.1186/s12864-015-1278-x","created_at":"2021-09-30T08:24:26.556Z","updated_at":"2021-09-30T08:24:26.556Z"}],"licence_links":[],"grants":[{"id":2241,"fairsharing_record_id":2301,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:25:36.988Z","updated_at":"2021-09-30T09:30:51.507Z","grant_id":905,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"20017004","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8329,"fairsharing_record_id":2301,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:32:06.868Z","updated_at":"2021-09-30T09:32:06.916Z","grant_id":1475,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"17310112","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2302","type":"fairsharing_records","attributes":{"created_at":"2016-07-11T07:12:58.000Z","updated_at":"2023-12-15T10:30:17.958Z","metadata":{"doi":"10.25504/FAIRsharing.j4ebq1","name":"MitoCheck","status":"ready","contacts":[{"contact_name":"Jean-Karim Heriche","contact_email":"heriche@embl.de"}],"homepage":"http://www.mitocheck.org","citations":[],"identifier":2302,"description":"MitoCheck aims to integrate information on cellular function of human genes while giving access to supporting information such as microscopy images of phenotypes.","abbreviation":"MitoCheck","data_curation":{"type":"none"},"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://www.mitocheck.org/cgi-bin/BACfinder","name":"Mouse BACFinder"},{"url":"https://git.embl.de/heriche/Mitocheck","name":"Perl Library"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.mitocheck.org/about.shtml","type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000776","bsg-d000776"],"name":"FAIRsharing record for: MitoCheck","abbreviation":"MitoCheck","url":"https://fairsharing.org/10.25504/FAIRsharing.j4ebq1","doi":"10.25504/FAIRsharing.j4ebq1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MitoCheck aims to integrate information on cellular function of human genes while giving access to supporting information such as microscopy images of phenotypes.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11223},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11368}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cell Biology"],"domains":["Function analysis","Bioimaging","Gene","High-content screen"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1224,"pubmed_id":20360735,"title":"Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes.","year":2010,"url":"http://doi.org/10.1038/nature08869","authors":"Neumann B, et al.","journal":"Nature","doi":"10.1038/nature08869","created_at":"2021-09-30T08:24:36.442Z","updated_at":"2021-09-30T08:24:36.442Z"},{"id":1228,"pubmed_id":20360068,"title":"Systematic analysis of human protein complexes identifies chromosome segregation proteins.","year":2010,"url":"http://doi.org/10.1126/science.1181348","authors":"Hutchins JR, et al.","journal":"Science","doi":"10.1126/science.1181348","created_at":"2021-09-30T08:24:36.974Z","updated_at":"2021-09-30T08:24:36.974Z"},{"id":2528,"pubmed_id":30202089,"title":"Experimental and computational framework for a dynamic protein atlas of human cell division.","year":2018,"url":"http://doi.org/10.1038/s41586-018-0518-z","authors":"Cai Y,Hossain MJ,Heriche JK,Politi AZ,Walther N,Koch B,Wachsmuth M,Nijmeijer B,Kueblbeck M,Martinic-Kavur M,Ladurner R,Alexander S,Peters JM,Ellenberg J","journal":"Nature","doi":"10.1038/s41586-018-0518-z","created_at":"2021-09-30T08:27:10.129Z","updated_at":"2021-09-30T08:27:10.129Z"}],"licence_links":[],"grants":[{"id":2242,"fairsharing_record_id":2302,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:25:37.026Z","updated_at":"2021-09-30T09:25:37.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2303","type":"fairsharing_records","attributes":{"created_at":"2016-07-11T08:08:07.000Z","updated_at":"2023-06-23T10:53:03.326Z","metadata":{"doi":"10.25504/FAIRsharing.6wf1zw","name":"Image Data Resource","status":"ready","contacts":[{"contact_name":"Josh Moore","contact_email":"j.a.moore@dundee.ac.uk","contact_orcid":"0000-0003-4028-811X"},{"contact_name":"Sébastien Besson","contact_email":"s.besson@dundee.ac.uk","contact_orcid":"0000-0001-8783-1429"},{"contact_name":"General Contact","contact_email":"idr@openmicroscopy.org","contact_orcid":null}],"homepage":"https://idr.openmicroscopy.org","citations":[{"doi":"10.1038/nmeth.4326","pubmed_id":28775673,"publication_id":2515}],"identifier":2303,"description":"The Image Data Resource (IDR) is a public repository of image datasets from published scientific studies, where the community can submit, search and access high-quality bio-image data. It follows the Euro-BioImaging/ELIXIR imaging strategy using the OMERO and Bio-Formats open source software built by the Open Microscopy Environment. Deployed on an OpenStack cloud running on the EMBL-EBI’s Embassy resource, it includes image data linked to independent studies from genetic, RNAi, chemical, localisation and geographic high content screens, super-resolution microscopy, and digital pathology.","abbreviation":"IDR","data_curation":{"url":"https://idr.openmicroscopy.org/about/index.html","type":"none"},"support_links":[{"url":"idr@openmicroscopy.org","name":"Helpdesk","type":"Support email"},{"url":"https://www.openmicroscopy.org/community/","name":"Community Forum","type":"Forum"},{"url":"https://help.openmicroscopy.org","name":"OMERO User Help","type":"Help documentation"},{"url":"http://www.openmicroscopy.org/site/community/mailing-lists","name":"Mailing Lists","type":"Mailing list"},{"url":"http://help.openmicroscopy.org/resources.html","name":"Training Course Material","type":"Training documentation"},{"url":"https://twitter.com/openmicroscopy","name":"@openmicroscopy","type":"Twitter"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012435","name":"re3data:r3d100012435","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_017421","name":"SciCrunch:RRID:SCR_017421","portal":"SciCrunch"}],"data_access_condition":{"url":"https://idr.openmicroscopy.org/about/faq/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://idr.openmicroscopy.org/about/faq/","name":"Follows EMBL-EBI’s open data mission in the domain of biological images"},"data_deposition_condition":{"url":"https://idr.openmicroscopy.org/about/submission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000778","bsg-d000778"],"name":"FAIRsharing record for: Image Data Resource","abbreviation":"IDR","url":"https://fairsharing.org/10.25504/FAIRsharing.6wf1zw","doi":"10.25504/FAIRsharing.6wf1zw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Image Data Resource (IDR) is a public repository of image datasets from published scientific studies, where the community can submit, search and access high-quality bio-image data. It follows the Euro-BioImaging/ELIXIR imaging strategy using the OMERO and Bio-Formats open source software built by the Open Microscopy Environment. Deployed on an OpenStack cloud running on the EMBL-EBI’s Embassy resource, it includes image data linked to independent studies from genetic, RNAi, chemical, localisation and geographic high content screens, super-resolution microscopy, and digital pathology.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11016},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11224},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11369},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13980},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14563}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Life Science","Biomedical Science"],"domains":["Bioimaging","Super-resolution microscopy","Light-sheet illumination","High-content screen"],"taxonomies":["Apis mellifera","Arabidopsis thaliana","Danio rerio","Drosophila","Drosophila melanogaster","Escherichia coli","Gallus gallus","Homo sapiens","Mus musculus","plankton","Plasmodium falciparum","Saccharomyces cerevisiae","SARS-CoV-2","Schizosaccharomyces pombe","Tribolium castaneum"],"user_defined_tags":["Digital pathology"],"countries":["United Kingdom"],"publications":[{"id":2515,"pubmed_id":28775673,"title":"The Image Data Resource: A Bioimage Data Integration and Publication Platform.","year":2017,"url":"http://doi.org/10.1038/nmeth.4326","authors":"Williams E,Moore J,Li SW,Rustici G,Tarkowska A,Chessel A,Leo S,Antal B,Ferguson RK,Sarkans U,Brazma A,Salas REC,Swedlow JR","journal":"Nat Methods","doi":"10.1038/nmeth.4326","created_at":"2021-09-30T08:27:08.592Z","updated_at":"2021-09-30T08:27:08.592Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3256,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":3258,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3257,"relation":"applies_to_content"}],"grants":[{"id":8155,"fairsharing_record_id":2303,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:31:14.580Z","updated_at":"2021-09-30T09:31:14.632Z","grant_id":1083,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","grant":"688945","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2244,"fairsharing_record_id":2303,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:37.121Z","updated_at":"2021-09-30T09:31:13.890Z","grant_id":1076,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M018423/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8659,"fairsharing_record_id":2303,"organisation_id":873,"relation":"funds","created_at":"2021-12-20T16:29:42.311Z","updated_at":"2021-12-20T16:29:42.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2246,"fairsharing_record_id":2303,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:37.192Z","updated_at":"2021-09-30T09:30:59.327Z","grant_id":966,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","grant":"654248","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10676,"fairsharing_record_id":2303,"organisation_id":2261,"relation":"maintains","created_at":"2023-06-16T08:17:21.567Z","updated_at":"2023-06-16T08:17:21.567Z","grant_id":null,"is_lead":true,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":10677,"fairsharing_record_id":2303,"organisation_id":3049,"relation":"maintains","created_at":"2023-06-16T08:17:21.567Z","updated_at":"2023-06-16T08:17:21.567Z","grant_id":null,"is_lead":true,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8904,"fairsharing_record_id":2303,"organisation_id":2854,"relation":"funds","created_at":"2022-03-03T13:25:24.569Z","updated_at":"2022-03-03T13:25:24.569Z","grant_id":1830,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212962/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2243,"fairsharing_record_id":2303,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:25:37.080Z","updated_at":"2021-09-30T09:25:37.080Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8385,"fairsharing_record_id":2303,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:23.817Z","updated_at":"2021-09-30T09:32:23.872Z","grant_id":1601,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/R015384/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9247,"fairsharing_record_id":2303,"organisation_id":920,"relation":"maintains","created_at":"2022-04-11T12:07:25.110Z","updated_at":"2022-04-11T12:07:25.110Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBWUT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a98b06ba365ea079c2d473e13b2e540597d9f29b/idr-logo.png?disposition=inline","exhaustive_licences":true}},{"id":"2304","type":"fairsharing_records","attributes":{"created_at":"2016-07-19T09:50:21.000Z","updated_at":"2023-12-15T10:28:35.542Z","metadata":{"doi":"10.25504/FAIRsharing.tf3mhc","name":"Virtual Parts Repository","status":"ready","contacts":[{"contact_email":"anil.wipat@ncl.ac.uk","contact_orcid":"0000-0002-2454-7188"}],"homepage":"http://www.virtualparts.org","citations":[{"publication_id":1253}],"identifier":2304,"description":"The Virtual Parts Repository (VPR) is a repository of reusable, modular and composable models of biological parts.","abbreviation":"VPR","data_curation":{"url":"http://www.virtualparts.org/","type":"manual","notes":"The database is still under construction and being manually curated."},"support_links":[{"url":"https://dissys.github.io/vprwiki","name":"Documentation","type":"Github"},{"url":"https://github.com/dissys/vprwiki","name":"GitHub Project","type":"Github"}],"year_creation":2010,"data_versioning":"no","data_access_condition":{"url":"http://www.virtualparts.org/about.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000780","bsg-d000780"],"name":"FAIRsharing record for: Virtual Parts Repository","abbreviation":"VPR","url":"https://fairsharing.org/10.25504/FAIRsharing.tf3mhc","doi":"10.25504/FAIRsharing.tf3mhc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Virtual Parts Repository (VPR) is a repository of reusable, modular and composable models of biological parts.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Synthetic Biology","Systems Biology"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1253,"pubmed_id":null,"title":"Composable Modular Models for Synthetic Biology","year":2014,"url":"https://doi.org/10.1145/2631921","authors":"Goksel Misirli, Jennifer Hallinan, Anil Wipat","journal":"ACM Journal on Emerging Technologies in Computing Systems","doi":null,"created_at":"2021-09-30T08:24:39.758Z","updated_at":"2021-09-30T08:24:39.758Z"}],"licence_links":[],"grants":[{"id":2247,"fairsharing_record_id":2304,"organisation_id":2145,"relation":"maintains","created_at":"2021-09-30T09:25:37.215Z","updated_at":"2021-09-30T09:25:37.215Z","grant_id":null,"is_lead":false,"saved_state":{"id":2145,"name":"Newcastle University, Newcastle upon Tyne, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2248,"fairsharing_record_id":2304,"organisation_id":1630,"relation":"maintains","created_at":"2021-09-30T09:25:37.241Z","updated_at":"2021-09-30T09:25:37.241Z","grant_id":null,"is_lead":false,"saved_state":{"id":1630,"name":"Keele University, Staffordshire, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2249,"fairsharing_record_id":2304,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:25:37.264Z","updated_at":"2021-09-30T09:25:37.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2305","type":"fairsharing_records","attributes":{"created_at":"2016-06-14T09:37:07.000Z","updated_at":"2023-12-15T10:30:18.399Z","metadata":{"doi":"10.25504/FAIRsharing.e5y0j0","name":"Clinical Knowledgebase","status":"ready","contacts":[{"contact_name":"Susan Mockus","contact_email":"ckbsupport@jax.org","contact_orcid":"0000-0002-1939-5132"}],"homepage":"https://jax.org/ckb","identifier":2305,"description":"The Jackson Laboratory Clinical Knowledgebase (CKB) is a semi-automated/manually curated database of gene/variant annotations, therapy knowledge, diagnostic/prognostic information, and clinical trials related to oncology. CKB not only contains current information on the protein effect of somatic gene variants, but also connects the variant to targeted therapies through an efficacy evidence annotation. In addition, CKB captures clinical trial patient eligibility criteria that include genomic alterations (genotype-specific). The public access version of CKB encompasses 82 commonly known driver genes. Users can search CKB via gene, gene variants, drug, drug class, indication, and clinical trials. The web-based version of CKB is designed to interrogate the knowledgebase for specific data attributes while also enabling a robust browse like feature when the desired content is unknown.","abbreviation":"JAX-CKB","data_curation":{"url":"https://ckbhome.jax.org/about/curationMethodology","type":"manual/automated"},"support_links":[{"url":"ckbsupport@jax.org","name":"ckbsupport@jax.org","type":"Support email"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"url":"https://ckbhome.jax.org/","type":"partially open"},"data_contact_information":"not found","data_deposition_condition":{"url":"file:///C:/Users/PATOU/Downloads/the_scoop_on_CKB.pdf","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000781","bsg-d000781"],"name":"FAIRsharing record for: Clinical Knowledgebase","abbreviation":"JAX-CKB","url":"https://fairsharing.org/10.25504/FAIRsharing.e5y0j0","doi":"10.25504/FAIRsharing.e5y0j0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Jackson Laboratory Clinical Knowledgebase (CKB) is a semi-automated/manually curated database of gene/variant annotations, therapy knowledge, diagnostic/prognostic information, and clinical trials related to oncology. CKB not only contains current information on the protein effect of somatic gene variants, but also connects the variant to targeted therapies through an efficacy evidence annotation. In addition, CKB captures clinical trial patient eligibility criteria that include genomic alterations (genotype-specific). The public access version of CKB encompasses 82 commonly known driver genes. Users can search CKB via gene, gene variants, drug, drug class, indication, and clinical trials. The web-based version of CKB is designed to interrogate the knowledgebase for specific data attributes while also enabling a robust browse like feature when the desired content is unknown.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12753}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Biomedical Science","Preclinical Studies"],"domains":["Drug report","DNA structural variation","Drug","Cancer","Next generation DNA sequencing","Somatic mutation","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1180,"pubmed_id":26772741,"title":"The clinical trial landscape in oncology and connectivity of somatic mutational profiles to targeted therapies.","year":2016,"url":"http://doi.org/10.1186/s40246-016-0061-7","authors":"Patterson SE1, Liu R2, Statz CM3, Durkin D4, Lakshminarayana A5, Mockus SM6.","journal":"Hum Genomics","doi":"10.1186/s40246-016-0061-7","created_at":"2021-09-30T08:24:31.183Z","updated_at":"2021-09-30T08:24:31.183Z"}],"licence_links":[],"grants":[{"id":9202,"fairsharing_record_id":2305,"organisation_id":2792,"relation":"maintains","created_at":"2022-04-11T12:07:21.691Z","updated_at":"2022-04-11T12:07:21.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2306","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T09:43:26.000Z","updated_at":"2022-07-20T09:37:07.481Z","metadata":{"doi":"10.25504/FAIRsharing.g63c77","name":"Curie Image Database","status":"deprecated","contacts":[{"contact_name":"Perrine Paul-Gilloteaux","contact_email":"perrine.paul-gilloteaux@france-bioimaging.org"}],"homepage":"https://cid.curie.fr","citations":[],"identifier":2306,"description":"In addition to data used in on-going collaborations, this database host images from France Bio Imaging microscopy facility with public access either associated to publications, either that make interest from an image processing point of view (such as challenges for developpers or for use in metrology). This resource requires a log in account, however some projects are available with a guest account.","abbreviation":"CID","data_curation":{},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2022-07-13","deprecation_reason":"This resource no longer has a valid homepage, and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000782","bsg-d000782"],"name":"FAIRsharing record for: Curie Image Database","abbreviation":"CID","url":"https://fairsharing.org/10.25504/FAIRsharing.g63c77","doi":"10.25504/FAIRsharing.g63c77","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In addition to data used in on-going collaborations, this database host images from France Bio Imaging microscopy facility with public access either associated to publications, either that make interest from an image processing point of view (such as challenges for developpers or for use in metrology). This resource requires a log in account, however some projects are available with a guest account.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11225},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11370}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","High-content screen"],"taxonomies":["Aedes aegypti","Drosophila","Homo sapiens","Mus musculus","Saccharomyces"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"CID Require account","licence_id":124,"licence_url":"https://cid.curie.fr/iManage/standard/login.html","link_id":2316,"relation":"undefined"}],"grants":[{"id":2253,"fairsharing_record_id":2306,"organisation_id":367,"relation":"funds","created_at":"2021-09-30T09:25:37.450Z","updated_at":"2021-09-30T09:25:37.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":367,"name":"Canceropole Ile-De-France, Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2251,"fairsharing_record_id":2306,"organisation_id":1363,"relation":"maintains","created_at":"2021-09-30T09:25:37.385Z","updated_at":"2021-09-30T09:25:37.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":1363,"name":"Institut Curie, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2252,"fairsharing_record_id":2306,"organisation_id":2650,"relation":"maintains","created_at":"2021-09-30T09:25:37.417Z","updated_at":"2021-09-30T09:25:37.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":2650,"name":"Strand Avadis, Bangalore, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2254,"fairsharing_record_id":2306,"organisation_id":234,"relation":"maintains","created_at":"2021-09-30T09:25:37.473Z","updated_at":"2021-09-30T09:25:37.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":234,"name":"BioImage Informatics, IPDM, France Bio-Imaging, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2326","type":"fairsharing_records","attributes":{"created_at":"2016-09-14T11:37:16.000Z","updated_at":"2023-12-15T10:32:56.913Z","metadata":{"doi":"10.25504/FAIRsharing.rkwr6y","name":"Oxford University Research Archive","status":"ready","contacts":[{"contact_email":"ora@bodleian.ox.ac.uk"},{"contact_name":"Jason Partridge","contact_email":"jason.partridge@bodleian.ox.ac.uk","contact_orcid":"0000-0001-9819-9991"}],"homepage":"https://ora.ox.ac.uk/","citations":[],"identifier":2326,"description":"The Oxford University Research Archive (ORA) is the institutional repository for the University of Oxford. ORA was established in 2007 as a permanent and secure online archive of research materials produced by members of the University and is managed by the Bodleian Libraries. ORA aims to provide access to the full text of as much of Oxford's academic research as possible, including articles, conference papers, theses, research data, working papers and posters. Digital object identifiers (DOIs) can be assigned to items in the repository for citation and attribution.\n\nMaking materials open access removes barriers that restrict access to research, allowing for free dissemination of full text content, available to anyone with Internet access. ORA promotes and encourages the sharing of the scholarly output produced by the members of the University that have been published under open access conditions, whilst additionally supporting University compliance with research funder policies and assessment. It is a core service of the library and is prioritised due to its central importance to the REF and funder compliance.\n","abbreviation":"ORA","data_curation":{"url":"https://ora.ox.ac.uk/content_policy","type":"manual/automated","notes":"The repository, and its content, is managed and maintained by staff within the Bodleian Libraries although various stakeholders around the University are involved with decision making regarding its function."},"support_links":[{"url":"https://ora.ox.ac.uk/about","name":"About","type":"Help documentation"},{"url":"https://ora.ox.ac.uk/stats","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/oxforduni_repo","name":"@oxforduni_repo","type":"Twitter"},{"url":"https://ora.ox.ac.uk/api","name":"API (Application Programming Interface)","type":"Help documentation"},{"url":"https://ora.ox.ac.uk/contact","name":"Contact us","type":"Contact form"},{"url":"https://libguides.bodleian.ox.ac.uk/ora","name":"ORA Libguide","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011230","name":"re3data:r3d100011230","portal":"re3data"},{"url":"https://v2.sherpa.ac.uk/id/repository/1064","name":"OpenDOAR","portal":"Other"},{"url":"https://core.ac.uk/data-providers/88","name":"CORE","portal":"Other"}],"data_access_condition":{"url":"https://ora.ox.ac.uk/terms_of_use","type":"open","notes":"All information is freely available"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.bodleian.ox.ac.uk/about/libraries/policies","name":"Digital preservation policy"},"data_deposition_condition":{"url":"https://ora.ox.ac.uk/deposit_agreements","type":"controlled","notes":"Only members of the University of Oxford can upload data, publications or theses."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000802","bsg-d000802"],"name":"FAIRsharing record for: Oxford University Research Archive","abbreviation":"ORA","url":"https://fairsharing.org/10.25504/FAIRsharing.rkwr6y","doi":"10.25504/FAIRsharing.rkwr6y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oxford University Research Archive (ORA) is the institutional repository for the University of Oxford. ORA was established in 2007 as a permanent and secure online archive of research materials produced by members of the University and is managed by the Bodleian Libraries. ORA aims to provide access to the full text of as much of Oxford's academic research as possible, including articles, conference papers, theses, research data, working papers and posters. Digital object identifiers (DOIs) can be assigned to items in the repository for citation and attribution.\n\nMaking materials open access removes barriers that restrict access to research, allowing for free dissemination of full text content, available to anyone with Internet access. ORA promotes and encourages the sharing of the scholarly output produced by the members of the University that have been published under open access conditions, whilst additionally supporting University compliance with research funder policies and assessment. It is a core service of the library and is prioritised due to its central importance to the REF and funder compliance.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["All"],"user_defined_tags":["institutional repository","Open Access","digital preservation"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"ORA Policy documents","licence_id":1087,"licence_url":"https://ora.ox.ac.uk/policies","link_id":3415,"relation":"applies_to_content"}],"grants":[{"id":2283,"fairsharing_record_id":2326,"organisation_id":291,"relation":"maintains","created_at":"2021-09-30T09:25:38.522Z","updated_at":"2023-11-28T13:25:03.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":291,"name":"Bodleian Library, University of Oxford, Oxford, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBanNEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--016cf7e897dfc5da10538a2adfa56c4fe19012e0/ora-logo_new_padded.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2327","type":"fairsharing_records","attributes":{"created_at":"2016-08-29T07:45:51.000Z","updated_at":"2023-12-15T10:28:27.022Z","metadata":{"doi":"10.25504/FAIRsharing.txcn6k","name":"RDF Portal","status":"ready","contacts":[{"contact_name":"Hideki Hatanaka","contact_email":"hideki@biosciencedbc.jp","contact_orcid":"0000-0002-0587-2460"},{"contact_name":"NBDC catalog team","contact_email":"catalog@integbio.jp","contact_orcid":null}],"homepage":"https://rdfportal.org","citations":[],"identifier":2327,"description":"The RDF Portal provides a collection of life science datasets in RDF (Resource Description Framework). The portal aims to accelerate integrative utilization of the heterogeneous datasets deposited by various research institutions and groups. In this portal, each dataset comes with a summary, downloadable files and a SPARQL endpoint.","abbreviation":"RDF Portal","data_curation":{"url":"https://rdfportal.org/documents","type":"manual","notes":"RDF data submitted to the RDF portal undergoes a review process by the RDF portal team. T"},"support_links":[{"url":"https://rdfportal.org/documents","name":"Documents","type":"Help documentation"},{"url":"https://dbcls.rois.ac.jp/contact-en.html","name":"Contact","type":"Contact form"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://integbio.jp/rdf/documents/Submitting_a_RDF_dataset","type":"controlled","notes":"Submissions from research groups in Japan only"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000803","bsg-d000803"],"name":"FAIRsharing record for: RDF Portal","abbreviation":"RDF Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.txcn6k","doi":"10.25504/FAIRsharing.txcn6k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RDF Portal provides a collection of life science datasets in RDF (Resource Description Framework). The portal aims to accelerate integrative utilization of the heterogeneous datasets deposited by various research institutions and groups. In this portal, each dataset comes with a summary, downloadable files and a SPARQL endpoint.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Health Science","Proteomics","Phylogeny","Life Science","Cell Biology"],"domains":["Bibliography","Gene expression","Drug interaction","Pathway model","Sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"NBDC Site Policies","licence_id":998,"licence_url":"https://biosciencedbc.jp/en/sitepolicies/","link_id":2940,"relation":"applies_to_content"}],"grants":[{"id":2284,"fairsharing_record_id":2327,"organisation_id":645,"relation":"maintains","created_at":"2021-09-30T09:25:38.561Z","updated_at":"2023-07-05T07:10:51.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":645,"name":"Database Center for Life Science","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2328","type":"fairsharing_records","attributes":{"created_at":"2016-09-02T11:14:34.000Z","updated_at":"2023-12-15T10:32:16.455Z","metadata":{"doi":"10.25504/FAIRsharing.81ettx","name":"Bioconductor","status":"ready","contacts":[{"contact_name":"Sean Davis","contact_email":"seandavi@gmail.com","contact_orcid":"0000-0002-8991-6458"}],"homepage":"https://bioconductor.org","identifier":2328,"description":"Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development.","abbreviation":"Bioc","data_curation":{"type":"none"},"support_links":[{"url":"https://bioconductor.org/help/events/","type":"Blog/News"},{"url":"https://bioconductor.org/help/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://support.bioconductor.org/","type":"Forum"},{"url":"https://bioconductor.org/help/course-materials/","name":"Courses and Conferences","type":"Help documentation"},{"url":"https://bioconductor.org/help/community/","name":"Community ressource","type":"Help documentation"},{"url":"https://twitter.com/Bioconductor","type":"Twitter"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"https://bioconductor.org/news/bioc_3_10_release/","name":"Bioconductor 3.10"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013238","name":"re3data:r3d100013238","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006442","name":"SciCrunch:RRID:SCR_006442","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000804","bsg-d000804"],"name":"FAIRsharing record for: Bioconductor","abbreviation":"Bioc","url":"https://fairsharing.org/10.25504/FAIRsharing.81ettx","doi":"10.25504/FAIRsharing.81ettx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12755}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genomics","Life Science"],"domains":["DNA sequence data","Next generation DNA sequencing","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2285,"fairsharing_record_id":2328,"organisation_id":225,"relation":"maintains","created_at":"2021-09-30T09:25:38.593Z","updated_at":"2021-09-30T09:25:38.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":225,"name":"Bioconductor","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}}],"links":{"self":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=1\u0026page%5Bsize%5D=2500","first":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=1\u0026page%5Bsize%5D=2500","prev":null,"next":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=2\u0026page%5Bsize%5D=2500","last":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=2\u0026page%5Bsize%5D=2500"}} \ No newline at end of file From dac3286f78ed22f7669262b9671564963646a5e7 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 12:55:42 +0200 Subject: [PATCH 38/48] Change static path to IANA media types info --- config.ini.template | 2 +- .../{IANA-media-types/media-types.xml => IANA-media-types.xml} | 0 2 files changed, 1 insertion(+), 1 deletion(-) rename static/controlled_vocabularies/{IANA-media-types/media-types.xml => IANA-media-types.xml} (100%) diff --git a/config.ini.template b/config.ini.template index 14571217..67bc9b3c 100644 --- a/config.ini.template +++ b/config.ini.template @@ -23,7 +23,7 @@ signposting = Signposting enable_remote_check = false property_key_xml = {http://www.iana.org/assignments}file remote_path = https://www.iana.org/assignments/media-types/media-types.xml -local_path = static/controlled_vocabularies/IANA-media-types/media-types.xml +local_path = static/controlled_vocabularies/IANA-media-types.xml [vocabularies:fairsharing] enable_remote_check = true diff --git a/static/controlled_vocabularies/IANA-media-types/media-types.xml b/static/controlled_vocabularies/IANA-media-types.xml similarity index 100% rename from static/controlled_vocabularies/IANA-media-types/media-types.xml rename to static/controlled_vocabularies/IANA-media-types.xml From 4c76902f8d500fdac59d7ec3927a4bd863464f18 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 14:00:03 +0200 Subject: [PATCH 39/48] Fix: remove HTML headers from JSON --- .../controlled_vocabularies/fairsharing.json | 30 +------------------ 1 file changed, 1 insertion(+), 29 deletions(-) diff --git a/static/controlled_vocabularies/fairsharing.json b/static/controlled_vocabularies/fairsharing.json index 6b5a3a24..ec46b6d5 100644 --- a/static/controlled_vocabularies/fairsharing.json +++ b/static/controlled_vocabularies/fairsharing.json @@ -1,29 +1 @@ -HTTP/2 200 -content-type: application/json; charset=utf-8 -status: 200 OK -cache-control: max-age=0, private, must-revalidate -vary: Accept -referrer-policy: strict-origin-when-cross-origin -x-permitted-cross-domain-policies: none -x-xss-protection: 0 -maintenance: false -x-request-id: 99ed4122-ccc8-444a-b297-3778c78699b7 -link: ; rel="last", ; rel="next" -x-per-page: 2500 -x-download-options: noopen -etag: W/"80e79b8e95df398719f45481d261ff22" -x-frame-options: SAMEORIGIN -x-runtime: 181.468574 -x-content-type-options: nosniff -x-page: 1 -x-total: 4345 -read-only: false -date: Tue, 20 Aug 2024 07:35:13 GMT -x-powered-by: Phusion Passenger(R) 6.0.15 -server: nginx + Phusion Passenger(R) 6.0.15 -access-control-allow-origin: * -access-control-allow-methods: GET, POST, PUT, DELETE, OPTIONS, HEAD -access-control-allow-headers: DNT,User-Agent,X-Requested-With,If-Modified-Since,Cache-Control,Content-Type,Range,X-Client-Id,Authorization,Access-Control-Allow-Origin,X-DSW -access-control-expose-headers: Content-Length,Content-Range,Maintenance,Read-Only - -{"data":[{"id":"187","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:37.654Z","metadata":{"doi":"10.25504/FAIRsharing.36pf8q","name":"RxNORM","status":"ready","contacts":[{"contact_email":"rxnorminfo@nlm.nih.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/rxnorm/","citations":[],"identifier":187,"description":"RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, MediSpan, Gold Standard Drug Database, and Multum. By providing links between these vocabularies, RxNorm can mediate messages between systems not using the same software and vocabulary. RxNorm now includes the National Drug File - Reference Terminology (NDF-RT) from the Veterans Health Administration. NDF-RT is a terminology used to code clinical drug properties, including mechanism of action, physiologic effect, and therapeutic category.","abbreviation":"RxNORM","support_links":[{"url":"custserv@nlm.nih.gov","name":"NLM Customer Service","type":"Support email"},{"url":"https://www.nlm.nih.gov/research/umls/rxnorm/overview.html","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/research/umls/rxnorm/docs/index.html","type":"Help documentation"}],"year_creation":2001,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RXNORM","name":"RXNORM","portal":"BioPortal"}]},"legacy_ids":["bsg-002648","bsg-s002648"],"name":"FAIRsharing record for: RxNORM","abbreviation":"RxNORM","url":"https://fairsharing.org/10.25504/FAIRsharing.36pf8q","doi":"10.25504/FAIRsharing.36pf8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, MediSpan, Gold Standard Drug Database, and Multum. By providing links between these vocabularies, RxNorm can mediate messages between systems not using the same software and vocabulary. RxNorm now includes the National Drug File - Reference Terminology (NDF-RT) from the Veterans Health Administration. NDF-RT is a terminology used to code clinical drug properties, including mechanism of action, physiologic effect, and therapeutic category.","linked_records":[],"linking_records":[{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17686},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11048},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12463},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13175},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14549},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16974}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Drug name","Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1254,"pubmed_id":18998891,"title":"RxTerms - a drug interface terminology derived from RxNorm.","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/18998891","authors":"Fung KW,McDonald C,Bray BE","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:24:39.867Z","updated_at":"2021-09-30T08:24:39.867Z"},{"id":1255,"pubmed_id":21515544,"title":"Normalized names for clinical drugs: RxNorm at 6 years.","year":2011,"url":"http://doi.org/10.1136/amiajnl-2011-000116","authors":"Nelson SJ,Zeng K,Kilbourne J,Powell T,Moore R","journal":"J Am Med Inform Assoc","doi":"10.1136/amiajnl-2011-000116","created_at":"2021-09-30T08:24:39.975Z","updated_at":"2021-09-30T08:24:39.975Z"},{"id":1256,"pubmed_id":null,"title":"RxNorm: prescription for electronic drug information exchange","year":2005,"url":"http://doi.org/10.1109/MITP.2005.122","authors":"S. Liu ; Wei Ma ; R. Moore ; V. Ganesan ; S. Nelson","journal":"IEEE Xplore Digital Library","doi":"10.1109/MITP.2005.122","created_at":"2021-09-30T08:24:40.091Z","updated_at":"2021-09-30T08:24:40.091Z"}],"licence_links":[{"licence_name":"RxNORM Terms of service","licence_id":721,"licence_url":"https://www.nlm.nih.gov/research/umls/rxnorm/docs/termsofservice.html","link_id":1184,"relation":"undefined"}],"grants":[{"id":5240,"fairsharing_record_id":187,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:19.978Z","updated_at":"2021-09-30T09:27:19.978Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"188","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T11:15:09.000Z","updated_at":"2022-07-20T09:19:21.967Z","metadata":{"doi":"10.25504/FAIRsharing.kfqVQ7","name":"BcForms Grammar","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"https://www.bcforms.org/#grammar","citations":[{"publication_id":2611}],"identifier":188,"description":"The BcForms represents complexes as a sets of subunits, including their stoichiometries, and a set of interchain/intersubunit crosslinks. Furthermore, BcForms can be combined with BpForms and SMILES descriptions of subunits to calculate properties of complexes. BcForms descriptions of complexes consist of two parts: subunit composition of the complex, and interchain crosslinks. The BcForms grammar is defined in Lark syntax, which is based on EBNF syntax.","abbreviation":"BcForms Grammar","support_links":[{"url":"info@karrlab.org","type":"Support email"},{"url":"https://github.com/karrlab/bcforms/pulls","name":"Git pull request","type":"Github"},{"url":"https://github.com/KarrLab/bcforms","name":"Source code","type":"Github"},{"url":"https://www.bcforms.org/","name":"BcForms Project","type":"Help documentation"},{"url":"http://sandbox.karrlab.org/tree/bcforms","name":"Tutorial for the Python API","type":"Help documentation"},{"url":"https://www.bcforms.org/api/","name":"Query builder for the REST API","type":"Help documentation"}],"year_creation":2019,"associated_tools":[{"url":"https://docs.karrlab.org/bcforms/master/0.0.9/installation.html","name":"Python library"}]},"legacy_ids":["bsg-001397","bsg-s001397"],"name":"FAIRsharing record for: BcForms Grammar","abbreviation":"BcForms Grammar","url":"https://fairsharing.org/10.25504/FAIRsharing.kfqVQ7","doi":"10.25504/FAIRsharing.kfqVQ7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BcForms represents complexes as a sets of subunits, including their stoichiometries, and a set of interchain/intersubunit crosslinks. Furthermore, BcForms can be combined with BpForms and SMILES descriptions of subunits to calculate properties of complexes. BcForms descriptions of complexes consist of two parts: subunit composition of the complex, and interchain crosslinks. The BcForms grammar is defined in Lark syntax, which is based on EBNF syntax.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Bioinformatics","Genetics","Life Science"],"domains":["Protein-containing complex","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2611,"pubmed_id":null,"title":"BpForms and BcForms: Tools for concretely describing non-canonical polymers and complexes to facilitate comprehensive biochemical networks","year":2019,"url":"https://arxiv.org/abs/1903.10042","authors":"Paul F. Lang, Yassmine Chebaro, Xiaoyue Zheng, John A. P. Sekar, Bilal Shaikh, Darren A. Natale, Jonathan R. Karr","journal":"arXiv","doi":null,"created_at":"2021-09-30T08:27:20.521Z","updated_at":"2021-09-30T08:27:20.521Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":71,"relation":"undefined"}],"grants":[{"id":5241,"fairsharing_record_id":188,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:27:20.016Z","updated_at":"2021-09-30T09:27:20.016Z","grant_id":null,"is_lead":true,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5242,"fairsharing_record_id":188,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:20.053Z","updated_at":"2021-09-30T09:31:49.190Z","grant_id":1341,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"INSPIRE","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5243,"fairsharing_record_id":188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:20.094Z","updated_at":"2021-09-30T09:32:28.994Z","grant_id":1639,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41 award","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8488,"fairsharing_record_id":188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:52.070Z","updated_at":"2021-09-30T09:32:52.161Z","grant_id":1812,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"MIRA R35 award","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"189","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:46.000Z","updated_at":"2022-07-20T11:05:15.750Z","metadata":{"doi":"10.25504/FAIRsharing.VRo9Dl","name":"FAIR Maturity Indicator Gen2-MI-F1B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F1B.md","identifier":189,"description":"The FAIR Maturity Indicator Gen2-MI-F1B measures whether the GUID matches (regexp) a GUID scheme recognized as being persistent. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must try to use GUID types that are guaranteed, by stable third-parties, to be persistent. This includes stable providers of PURLs.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001373","bsg-s001373"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F1B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.VRo9Dl","doi":"10.25504/FAIRsharing.VRo9Dl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F1B measures whether the GUID matches (regexp) a GUID scheme recognized as being persistent. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must try to use GUID types that are guaranteed, by stable third-parties, to be persistent. This includes stable providers of PURLs.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13171},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13211},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13230},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13260},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13275},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20165}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1484,"relation":"undefined"}],"grants":[{"id":5244,"fairsharing_record_id":189,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:20.133Z","updated_at":"2021-09-30T09:27:20.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5247,"fairsharing_record_id":189,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:20.223Z","updated_at":"2021-09-30T09:27:20.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5245,"fairsharing_record_id":189,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:20.167Z","updated_at":"2021-09-30T09:27:20.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5246,"fairsharing_record_id":189,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:20.198Z","updated_at":"2021-09-30T09:27:20.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"190","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-23T09:04:45.235Z","metadata":{"doi":"10.25504/FAIRsharing.frp1rm","name":"Cancer Research and Management ACGT Master Ontology","status":"ready","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"mbrochhausen@gmail.com","contact_orcid":"0000-0003-1834-3856"},{"contact_name":"Cristian Cocos","contact_email":"cristi@ieee.org","contact_orcid":null}],"homepage":"https://www.uni-saarland.de/institut/ifomis/activities/acgt-master-ontology.html","citations":[{"doi":"10.1016/j.jbi.2010.04.008","pubmed_id":20438862,"publication_id":2428}],"identifier":190,"description":"The ACGT Master Ontology, which has been developed within the FP6-IST project \"Advancing Clinico-Genomic Trials\", has the aim to represent the domain of cancer research and management in a computationally tractable manner. The ACGT MO is built being maintained, using the Protégé-OWL free open-source ontology editor, Version 4. It is written in OWL-DL and presented as an .owl file. The ACGT MO is re-using Basic Formal Ontology (BFO) as upper level and the OBO Relation Ontology. Although this resource is available at the stated homepage, it has not been updated in a number of years, and we could not get in touch with the contacts provided.","abbreviation":"ACGT-MO","support_links":[{"url":"https://github.com/IFOMIS/ACGT","type":"Github"},{"url":"https://old.datahub.io/dataset/bioportal-acgt","name":"Datahub","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-002609","bsg-s002609"],"name":"FAIRsharing record for: Cancer Research and Management ACGT Master Ontology","abbreviation":"ACGT-MO","url":"https://fairsharing.org/10.25504/FAIRsharing.frp1rm","doi":"10.25504/FAIRsharing.frp1rm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ACGT Master Ontology, which has been developed within the FP6-IST project \"Advancing Clinico-Genomic Trials\", has the aim to represent the domain of cancer research and management in a computationally tractable manner. The ACGT MO is built being maintained, using the Protégé-OWL free open-source ontology editor, Version 4. It is written in OWL-DL and presented as an .owl file. The ACGT MO is re-using Basic Formal Ontology (BFO) as upper level and the OBO Relation Ontology. Although this resource is available at the stated homepage, it has not been updated in a number of years, and we could not get in touch with the contacts provided.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18143}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Life Science","Biomedical Science"],"domains":["Cancer","Tumor","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Germany","Greece","Spain","United States"],"publications":[{"id":2428,"pubmed_id":20438862,"title":"The ACGT Master Ontology and its applications--towards an ontology-driven cancer research and management system.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.04.008","authors":"Brochhausen M,Spear AD,Cocos C,Weiler G,Martin L,Anguita A,Stenzhorn H,Daskalaki E,Schera F,Schwarz U,Sfakianakis S,Kiefer S,Dorr M,Graf N,Tsiknakis M","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.04.008","created_at":"2021-09-30T08:26:57.953Z","updated_at":"2021-09-30T08:26:57.953Z"}],"licence_links":[],"grants":[{"id":5248,"fairsharing_record_id":190,"organisation_id":20,"relation":"maintains","created_at":"2021-09-30T09:27:20.252Z","updated_at":"2023-12-06T13:36:09.747Z","grant_id":null,"is_lead":true,"saved_state":{"id":20,"name":"ACGT Master Ontology (MO) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"191","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.875Z","metadata":{"doi":"10.25504/FAIRsharing.jrxhh7","name":"Cereal Plant Development","status":"deprecated","contacts":[{"contact_name":"Doreen Ware","contact_email":"ware@cshl.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1047","identifier":191,"description":"A structured controlled vocabulary for describing cereal plant development and growth stages. Please note that this ontology has now been superseded by the Plant Ontology.","abbreviation":"GRO_CPD","support_links":[{"url":"http://tools.gramene.org/feedback?refer_from=/plant_ontology/index.html","type":"Contact form"}],"year_creation":2007,"deprecation_date":"2017-02-23","deprecation_reason":"This ontology has been superseded by the Plant Ontology."},"legacy_ids":["bsg-002588","bsg-s002588"],"name":"FAIRsharing record for: Cereal Plant Development","abbreviation":"GRO_CPD","url":"https://fairsharing.org/10.25504/FAIRsharing.jrxhh7","doi":"10.25504/FAIRsharing.jrxhh7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for describing cereal plant development and growth stages. Please note that this ontology has now been superseded by the Plant Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Agriculture"],"domains":[],"taxonomies":["Poaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5249,"fairsharing_record_id":191,"organisation_id":2332,"relation":"maintains","created_at":"2021-09-30T09:27:20.295Z","updated_at":"2021-09-30T09:27:20.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":2332,"name":"Plant Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"192","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-06T13:53:10.828Z","metadata":{"doi":"10.25504/FAIRsharing.6brn4p","name":"ImMunoGeneTics Ontology","status":"ready","contacts":[{"contact_name":"Véronique Giudicelli","contact_email":"Veronique.Giudicelli@igh.cnrs.fr","contact_orcid":"0000-0002-2258-468X"}],"homepage":"https://www.imgt.org/download/IMGT-ONTOLOGY/","citations":[],"identifier":192,"description":"IMGT-ONTOLOGY provides a specific vocabulary of the terminology to be used in immunogenetics and immunoinformatics. The ontology allows for the standardization for immunogenetics data from genome, proteome, genetics, two-dimensional and three-dimensional structures.","abbreviation":"IMGT Ontology","support_links":[],"year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IMGT-ONTOLOGY","name":"IMGT-ONTOLOGY","portal":"BioPortal"}]},"legacy_ids":["bsg-002665","bsg-s002665"],"name":"FAIRsharing record for: ImMunoGeneTics Ontology","abbreviation":"IMGT Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.6brn4p","doi":"10.25504/FAIRsharing.6brn4p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IMGT-ONTOLOGY provides a specific vocabulary of the terminology to be used in immunogenetics and immunoinformatics. The ontology allows for the standardization for immunogenetics data from genome, proteome, genetics, two-dimensional and three-dimensional structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Informatics","Immunogenetics","Genetics","Immunology","Biomedical Science"],"domains":["Molecular structure","Proteome","Cellular component","Biological process","Immunoglobulin complex","Antibody","Structure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2972,"pubmed_id":22654892,"title":"IMGT-ONTOLOGY 2012.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00079","authors":"Giudicelli V,Lefranc MP","journal":"Front Genet","doi":"10.3389/fgene.2012.00079","created_at":"2021-09-30T08:28:06.250Z","updated_at":"2021-09-30T08:28:06.250Z"},{"id":3038,"pubmed_id":10745995,"title":"Ontology for immunogenetics: the IMGT-ONTOLOGY.","year":2000,"url":"http://doi.org/10.1093/bioinformatics/15.12.1047","authors":"Giudicelli V,Lefranc MP","journal":"Bioinformatics","doi":"10.1093/bioinformatics/15.12.1047","created_at":"2021-09-30T08:28:14.416Z","updated_at":"2021-09-30T08:28:14.416Z"},{"id":3039,"pubmed_id":24600447,"title":"Immunoglobulin and T Cell Receptor Genes: IMGT((R)) and the Birth and Rise of Immunoinformatics.","year":2014,"url":"http://doi.org/10.3389/fimmu.2014.00022","authors":"Lefranc MP","journal":"Front Immunol","doi":"10.3389/fimmu.2014.00022","created_at":"2021-09-30T08:28:14.575Z","updated_at":"2021-09-30T08:28:14.575Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":2188,"relation":"undefined"},{"licence_name":"IMGT Terms of Use","licence_id":431,"licence_url":"http://imgt.org/about/termsofuse.php","link_id":2189,"relation":"undefined"}],"grants":[{"id":5250,"fairsharing_record_id":192,"organisation_id":3101,"relation":"funds","created_at":"2021-09-30T09:27:20.336Z","updated_at":"2021-09-30T09:27:20.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":5251,"fairsharing_record_id":192,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:20.375Z","updated_at":"2021-09-30T09:27:20.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5253,"fairsharing_record_id":192,"organisation_id":1495,"relation":"maintains","created_at":"2021-09-30T09:27:20.445Z","updated_at":"2023-09-06T13:51:10.071Z","grant_id":null,"is_lead":true,"saved_state":{"id":1495,"name":"International ImMunoGeneTics information system (IMGT), Montpellier, France","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5252,"fairsharing_record_id":192,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:27:20.407Z","updated_at":"2021-09-30T09:27:20.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdU1DIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8a182a30111a331dc7f589ae66886d77014f3d3b/logo2_IMGT.png?disposition=inline","exhaustive_licences":true}},{"id":"193","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:15.927Z","metadata":{"doi":"10.25504/FAIRsharing.jkj6ah","name":"Tissue Microarray Ontology","status":"uncertain","contacts":[{"contact_name":"Chuck Borromeo","contact_email":"borromeocd@upmc.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1494","identifier":193,"description":"Tissue microarrays (TMA) are enormously useful tools for translational research, but incompatibilities in database systems between various researchers and institutions prevent the efficient sharing of data that could help realize their full potential.","abbreviation":"TMA","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TMA","name":"TMA","portal":"BioPortal"}]},"legacy_ids":["bsg-002666","bsg-s002666"],"name":"FAIRsharing record for: Tissue Microarray Ontology","abbreviation":"TMA","url":"https://fairsharing.org/10.25504/FAIRsharing.jkj6ah","doi":"10.25504/FAIRsharing.jkj6ah","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Tissue microarrays (TMA) are enormously useful tools for translational research, but incompatibilities in database systems between various researchers and institutions prevent the efficient sharing of data that could help realize their full potential.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12459}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Expression data","Cellular localization","Microarray experiment","Histology","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1753,"pubmed_id":18460177,"title":"Ontology-based, Tissue MicroArray oriented, image centered tissue bank.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-S4-S4","authors":"Viti F,Merelli I,Caprera A,Lazzari B,Stella A,Milanesi L","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-S4-S4","created_at":"2021-09-30T08:25:36.755Z","updated_at":"2021-09-30T08:25:36.755Z"},{"id":2545,"pubmed_id":17476071,"title":"Tissue MicroArray: a distributed Grid approach for image analysis.","year":2007,"url":"https://www.ncbi.nlm.nih.gov/pubmed/17476071","authors":"Viti F,Merelli I,Galizia A,D'Agostino D,Clematis A,Milanesi L","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:27:12.079Z","updated_at":"2021-09-30T08:27:12.079Z"}],"licence_links":[],"grants":[{"id":5254,"fairsharing_record_id":193,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:20.486Z","updated_at":"2021-09-30T09:27:20.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"194","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:50.665Z","metadata":{"doi":"10.25504/FAIRsharing.msgwvy","name":"Portfolio Management Application","status":"uncertain","contacts":[{"contact_name":"Jim Martin","contact_email":"martinji@mail.nih.gov","contact_orcid":"0000-0002-3891-0347"}],"homepage":"http://bioportal.bioontology.org/ontologies/1497","identifier":194,"description":"The Portfolio Management Application (PMA) is a system for tracking grants and producing reports - Users can access grant data through a query interface and a variety of pre-defined forms and reports","abbreviation":"PMA","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PMA","name":"PMA","portal":"BioPortal"}]},"legacy_ids":["bsg-002667","bsg-s002667"],"name":"FAIRsharing record for: Portfolio Management Application","abbreviation":"PMA","url":"https://fairsharing.org/10.25504/FAIRsharing.msgwvy","doi":"10.25504/FAIRsharing.msgwvy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Portfolio Management Application (PMA) is a system for tracking grants and producing reports - Users can access grant data through a query interface and a variety of pre-defined forms and reports","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12454}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5255,"fairsharing_record_id":194,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:20.525Z","updated_at":"2021-09-30T09:27:20.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"195","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T12:41:40.554Z","metadata":{"doi":"10.25504/FAIRsharing.8pbhs0","name":"Multiple sclerosis ontology","status":"ready","contacts":[{"contact_name":"Ashutosh Malhotra","contact_email":"ashutosh.malhotra@scai.fraunhofer.de"}],"homepage":"http://www.scai.fraunhofer.de/de/geschaeftsfelder/bioinformatik/downloads.html","citations":[],"identifier":195,"description":"An ontology for Multiple Sclerosis. Information for this ontology was drawn from PubMed abstracts and electronic health records.","abbreviation":"MSO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSO","name":"MSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000981","bsg-s000981"],"name":"FAIRsharing record for: Multiple sclerosis ontology","abbreviation":"MSO","url":"https://fairsharing.org/10.25504/FAIRsharing.8pbhs0","doi":"10.25504/FAIRsharing.8pbhs0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for Multiple Sclerosis. Information for this ontology was drawn from PubMed abstracts and electronic health records.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Multiple Sclerosis"],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"196","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.007Z","metadata":{"doi":"10.25504/FAIRsharing.x6sgd3","name":"Body System","status":"ready","contacts":[{"contact_name":"Samson Tu","contact_email":"swt@stanford.edu","contact_orcid":"0000-0002-0295-7821"}],"homepage":"http://bioportal.bioontology.org/ontologies/1487","identifier":196,"description":"This is a set of body-system terms used in the ICD 11 revision","abbreviation":"Body System"},"legacy_ids":["bsg-002662","bsg-s002662"],"name":"FAIRsharing record for: Body System","abbreviation":"Body System","url":"https://fairsharing.org/10.25504/FAIRsharing.x6sgd3","doi":"10.25504/FAIRsharing.x6sgd3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a set of body-system terms used in the ICD 11 revision","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5256,"fairsharing_record_id":196,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:20.558Z","updated_at":"2021-09-30T09:27:20.558Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"197","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:33:46.858Z","metadata":{"doi":"10.25504/FAIRsharing.rxazmf","name":"Neomark Oral Cancer-Centred Ontology","status":"uncertain","contacts":[{"contact_name":"Marta Ortega","contact_email":"mortega@lst.tfo.upm.es"}],"homepage":"http://purl.bioontology.org/ontology/NEOMARK3","identifier":197,"description":"An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","abbreviation":"NEOMARK3","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NEOMARK3","name":"NEOMARK3","portal":"BioPortal"}]},"legacy_ids":["bsg-002668","bsg-s002668"],"name":"FAIRsharing record for: Neomark Oral Cancer-Centred Ontology","abbreviation":"NEOMARK3","url":"https://fairsharing.org/10.25504/FAIRsharing.rxazmf","doi":"10.25504/FAIRsharing.rxazmf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Medicine","Biomedical Science"],"domains":["Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[],"grants":[{"id":11502,"fairsharing_record_id":197,"organisation_id":2115,"relation":"maintains","created_at":"2024-03-21T10:28:35.565Z","updated_at":"2024-03-21T10:28:35.565Z","grant_id":null,"is_lead":true,"saved_state":{"id":2115,"name":"NeoMark Ltd. Trademark Agency, Montreal, Canada","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"264","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T09:18:38.000Z","updated_at":"2021-11-24T13:17:11.459Z","metadata":{"doi":"10.25504/FAIRsharing.em3cg0","name":"Data required for the assignation of Digital Object Identifiers in the Global Information System","status":"ready","contacts":[{"contact_name":"Marco Marsella","contact_email":"pgrfa-treaty@fao.org","contact_orcid":"0000-0003-0334-8785"}],"homepage":"http://www.fao.org/plant-treaty/areas-of-work/global-information-system/descriptors/en/","identifier":264,"description":"The GLIS Descriptors are based on the FAO/IPGRI Multi Crop Passport Descriptors. They are the metadata information associated to a Digital Object Identifier (DOI) in the GLIS system; they divided into 3 classes: mandatory, highly recommended and additional.","abbreviation":"GLIS Descriptors","support_links":[{"url":"porta-treaty@fao.org","name":"ITPGRFA email address","type":"Support email"},{"url":"http://www.fao.org/plant-treaty/areas-of-work/global-information-system/faq/en/","name":"FAQs on GLIS and its descriptors","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.fao.org/3/a-bt113e.pdf","name":"Guideline Document (pdf)","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001161","bsg-s001161"],"name":"FAIRsharing record for: Data required for the assignation of Digital Object Identifiers in the Global Information System","abbreviation":"GLIS Descriptors","url":"https://fairsharing.org/10.25504/FAIRsharing.em3cg0","doi":"10.25504/FAIRsharing.em3cg0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GLIS Descriptors are based on the FAO/IPGRI Multi Crop Passport Descriptors. They are the metadata information associated to a Digital Object Identifier (DOI) in the GLIS system; they divided into 3 classes: mandatory, highly recommended and additional.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany","Agriculture","Biology","Plant Genetics"],"domains":["Agricultural products"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"FAO Open Access Policy","licence_id":312,"licence_url":"http://www.fao.org/3/I9461EN/I9461en.pdf","link_id":364,"relation":"undefined"}],"grants":[{"id":5400,"fairsharing_record_id":264,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:27:26.035Z","updated_at":"2021-09-30T09:27:26.035Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"265","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-01-06T09:09:04.790Z","metadata":{"doi":"10.25504/FAIRsharing.ttprgy","name":"Epilepsy and Seizure Ontology","status":"ready","contacts":[{"contact_name":"Satya Sahoo","contact_email":"satyasahoo@ieee.org"}],"homepage":"https://bioportal.bioontology.org/ontologies/EPSO","citations":[],"identifier":265,"description":"The Epilepsy and Seizure Ontology (EpSO) is an application ontology developed to support epilepsy focused informatics tools for patient care and clinical research. ","abbreviation":"EPSO","support_links":[],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EPSO","name":"EPSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000963","bsg-s000963"],"name":"FAIRsharing record for: Epilepsy and Seizure Ontology","abbreviation":"EPSO","url":"https://fairsharing.org/10.25504/FAIRsharing.ttprgy","doi":"10.25504/FAIRsharing.ttprgy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epilepsy and Seizure Ontology (EpSO) is an application ontology developed to support epilepsy focused informatics tools for patient care and clinical research. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurology"],"domains":["Epilepsy","Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3174,"pubmed_id":null,"title":"Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care","year":2013,"url":"http://dx.doi.org/10.1136/amiajnl-2013-001696","authors":"Sahoo, Satya S; Lhatoo, Samden D; Gupta, Deepak K; Cui, Licong; Zhao, Meng; Jayapandian, Catherine; Bozorgi, Alireza; Zhang, Guo-Qiang; ","journal":"J Am Med Inform Assoc","doi":"10.1136/amiajnl-2013-001696","created_at":"2022-01-05T20:26:50.535Z","updated_at":"2022-01-05T20:26:50.535Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2551,"relation":"applies_to_content"}],"grants":[{"id":8671,"fairsharing_record_id":265,"organisation_id":379,"relation":"maintains","created_at":"2022-01-05T20:27:09.477Z","updated_at":"2022-01-05T20:27:11.349Z","grant_id":null,"is_lead":true,"saved_state":{"id":379,"name":"Case Western Reserve University, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"267","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:04:42.000Z","updated_at":"2022-12-14T08:23:18.679Z","metadata":{"doi":"10.25504/FAIRsharing.c6JaLH","name":"IVOA Credential Delegation Protocol","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/CredentialDelegation/","citations":[{"publication_id":2952}],"identifier":267,"description":"The credential delegation protocol allows a client program to delegate a user's credentials to a service such that that service may make requests of other services in the name of that user. The protocol defines a REST service that works alongside other IVO services to enable such a delegation in a secure manner. In addition to defining the specifics of the service protocol, this document describes how a delegation service is registered in an IVOA registry along with the services it supports. The specification also explains how one can determine from a service registration that it requires the use of a supporting delegation service.","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/Documents/CredentialDelegation/20100218/REC-CredentialDelegation-1.0.html","name":"View Standard","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-001192","bsg-s001192"],"name":"FAIRsharing record for: IVOA Credential Delegation Protocol","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.c6JaLH","doi":"10.25504/FAIRsharing.c6JaLH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The credential delegation protocol allows a client program to delegate a user's credentials to a service such that that service may make requests of other services in the name of that user. The protocol defines a REST service that works alongside other IVO services to enable such a delegation in a secure manner. In addition to defining the specifics of the service protocol, this document describes how a delegation service is registered in an IVOA registry along with the services it supports. The specification also explains how one can determine from a service registration that it requires the use of a supporting delegation service.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11480}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2952,"pubmed_id":null,"title":"IVOA Credential Delegation Protocol Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.0218P","authors":"Plante, Raymond; Graham, Matthew; Rixon, Guy; Taffoni, Giuliano","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.816Z","updated_at":"2021-09-30T08:28:03.816Z"}],"licence_links":[],"grants":[{"id":5402,"fairsharing_record_id":267,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:27:26.087Z","updated_at":"2021-09-30T09:27:26.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5401,"fairsharing_record_id":267,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:26.064Z","updated_at":"2021-09-30T09:27:26.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"268","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:18.005Z","metadata":{"doi":"10.25504/FAIRsharing.7hxvhz","name":"Drug Interaction Knowledge Base Evidence Ontology","status":"deprecated","contacts":[{"contact_name":"Richard D Boyce","contact_email":"rdb20@pitt.edu"}],"homepage":"https://dikb.org/","identifier":268,"description":"An evidence taxonomy for pharmacologic studies that, when combined with a set of inclusion criteria, enable drug experts to specify what their confidence in a drug mechanism assertion would be if it were supported by a specific set of evidence.","abbreviation":"DIKB-Evidence","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DIKB","name":"DIKB","portal":"BioPortal"}],"deprecation_date":"2019-09-09","deprecation_reason":"This resource is deprecated and no longer maintained."},"legacy_ids":["bsg-002758","bsg-s002758"],"name":"FAIRsharing record for: Drug Interaction Knowledge Base Evidence Ontology","abbreviation":"DIKB-Evidence","url":"https://fairsharing.org/10.25504/FAIRsharing.7hxvhz","doi":"10.25504/FAIRsharing.7hxvhz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An evidence taxonomy for pharmacologic studies that, when combined with a set of inclusion criteria, enable drug experts to specify what their confidence in a drug mechanism assertion would be if it were supported by a specific set of evidence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Evidence","Drug interaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":908,"pubmed_id":19435613,"title":"Computing with evidence Part I: A drug-mechanism evidence taxonomy oriented toward confidence assignment.","year":2009,"url":"http://doi.org/10.1016/j.jbi.2009.05.001","authors":"Boyce R,Collins C,Horn J,Kalet I","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2009.05.001","created_at":"2021-09-30T08:24:00.294Z","updated_at":"2021-09-30T08:24:00.294Z"},{"id":1790,"pubmed_id":25917055,"title":"Toward a complete dataset of drug-drug interaction information from publicly available sources.","year":2015,"url":"http://doi.org/10.1016/j.jbi.2015.04.006","authors":"Ayvaz S,Horn J,Hassanzadeh O,Zhu Q,Stan J,Tatonetti NP,Vilar S,Brochhausen M,Samwald M,Rastegar-Mojarad M,Dumontier M,Boyce RD","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2015.04.006","created_at":"2021-09-30T08:25:40.905Z","updated_at":"2021-09-30T08:25:40.905Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":492,"relation":"undefined"}],"grants":[{"id":5403,"fairsharing_record_id":268,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:27:26.118Z","updated_at":"2021-09-30T09:27:26.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5405,"fairsharing_record_id":268,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:26.202Z","updated_at":"2021-09-30T09:27:26.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5404,"fairsharing_record_id":268,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:26.156Z","updated_at":"2021-09-30T09:32:02.693Z","grant_id":1443,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1R01LM011838-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"269","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:18.066Z","metadata":{"doi":"10.25504/FAIRsharing.rab28f","name":"Skin Physiology Ontology","status":"uncertain","contacts":[{"contact_name":"Tariq Abdulla","contact_email":"tariq.abdulla@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1122","identifier":269,"description":"The Skin Physiology Ontology is an ontology with 339 terms. We have struggled to find any further information about this ontology. If you know more, please do contact the FAIRsharing team.","abbreviation":"SPO","year_creation":2008},"legacy_ids":["bsg-002616","bsg-s002616"],"name":"FAIRsharing record for: Skin Physiology Ontology","abbreviation":"SPO","url":"https://fairsharing.org/10.25504/FAIRsharing.rab28f","doi":"10.25504/FAIRsharing.rab28f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Skin Physiology Ontology is an ontology with 339 terms. We have struggled to find any further information about this ontology. If you know more, please do contact the FAIRsharing team.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Dermatology","Life Science","Physiology","Biomedical Science"],"domains":["Biological process"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5406,"fairsharing_record_id":269,"organisation_id":1729,"relation":"maintains","created_at":"2021-09-30T09:27:26.245Z","updated_at":"2021-09-30T09:27:26.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":1729,"name":"Loughborough University, Loughborough, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"270","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:41.000Z","updated_at":"2022-07-20T12:47:44.896Z","metadata":{"doi":"10.25504/FAIRsharing.l8fVBn","name":"FAIR Maturity Indicator Gen2-MI-I1B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I1B.md","identifier":270,"description":"The FAIR Maturity Indicator Gen2-MI-I1B measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a strict interpretation, accepting only formats that are ontologically-grounded and machine-resolvable.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001379","bsg-s001379"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I1B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.l8fVBn","doi":"10.25504/FAIRsharing.l8fVBn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I1B measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a strict interpretation, accepting only formats that are ontologically-grounded and machine-resolvable.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13191},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13221},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13251},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13266},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20175}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1490,"relation":"undefined"}],"grants":[{"id":5410,"fairsharing_record_id":270,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:26.365Z","updated_at":"2021-09-30T09:27:26.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5407,"fairsharing_record_id":270,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:26.284Z","updated_at":"2021-09-30T09:27:26.284Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5408,"fairsharing_record_id":270,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:26.314Z","updated_at":"2021-09-30T09:27:26.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5409,"fairsharing_record_id":270,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:26.337Z","updated_at":"2021-09-30T09:27:26.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"271","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-07-20T09:39:22.355Z","metadata":{"doi":"10.25504/FAIRsharing.3x8jd5","name":"Radiation Oncology Ontology","status":"ready","contacts":[{"contact_name":"Andre Dekker","contact_email":"andre.dekker@maastro.nl"}],"homepage":"https://www.cancerdata.org/roo-information","citations":[{"doi":"10.1002/mp.12879","pubmed_id":30144092,"publication_id":2716}],"identifier":271,"description":"The Radiation Oncology Ontology (ROO) aims to cover the radiation oncology domain with a strong focus on re-using existing ontologies. ROO models terms including: uniform and non-uniform margins; ROI target volumes and organs-at-risk; dose-volume histogram parameters (Dx, Vx, MLD, etc.); and on-line / off-line setup protocols. ROO represents clinical data (and their relationships) in the radiation oncology domain following FAIR principles.","abbreviation":"ROO","support_links":[{"url":"https://www.cancerdata.org/system/files/file_attach/ROO-WhitePaper.pdf","name":"ROO White Paper (PDF)","type":"Help documentation"},{"url":"https://github.com/RadiationOncologyOntology/ROO","name":"GitHub Repository","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ROO","name":"ROO","portal":"BioPortal"}]},"legacy_ids":["bsg-000806","bsg-s000806"],"name":"FAIRsharing record for: Radiation Oncology Ontology","abbreviation":"ROO","url":"https://fairsharing.org/10.25504/FAIRsharing.3x8jd5","doi":"10.25504/FAIRsharing.3x8jd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Radiation Oncology Ontology (ROO) aims to cover the radiation oncology domain with a strong focus on re-using existing ontologies. ROO models terms including: uniform and non-uniform margins; ROI target volumes and organs-at-risk; dose-volume histogram parameters (Dx, Vx, MLD, etc.); and on-line / off-line setup protocols. ROO represents clinical data (and their relationships) in the radiation oncology domain following FAIR principles.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16984}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Health Science","Biomedical Science"],"domains":["Cancer","Radiotherapy"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":2716,"pubmed_id":30144092,"title":"The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques.","year":2018,"url":"http://doi.org/10.1002/mp.12879","authors":"Traverso A,van Soest J,Wee L,Dekker A","journal":"Med Phys","doi":"10.1002/mp.12879","created_at":"2021-09-30T08:27:33.520Z","updated_at":"2021-09-30T08:27:33.520Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":1735,"relation":"undefined"}],"grants":[{"id":5411,"fairsharing_record_id":271,"organisation_id":1740,"relation":"maintains","created_at":"2021-09-30T09:27:26.397Z","updated_at":"2021-09-30T09:27:26.397Z","grant_id":null,"is_lead":true,"saved_state":{"id":1740,"name":"MAASTRO Clinic, Maastricht, The Netherlands","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"272","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-22T21:04:42.793Z","metadata":{"doi":"10.25504/FAIRsharing.a5e1jd","name":"Enzyme Mechanism Ontology","status":"uncertain","contacts":[{"contact_name":"Gemma Holliday","contact_email":"gemma.l.holliday@gmail.com","contact_orcid":"0000-0002-6731-6398"}],"homepage":"http://bioportal.bioontology.org/ontologies/EMO","identifier":272,"description":"The \"Enzyme Mechanism Ontology \" describes the components of an enzyme and its reaction mechanism including the roles that the components play in the reaction mechanism.","abbreviation":"EMO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EMO","name":"EMO","portal":"BioPortal"}]},"legacy_ids":["bsg-000276","bsg-s000276"],"name":"FAIRsharing record for: Enzyme Mechanism Ontology","abbreviation":"EMO","url":"https://fairsharing.org/10.25504/FAIRsharing.a5e1jd","doi":"10.25504/FAIRsharing.a5e1jd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The \"Enzyme Mechanism Ontology \" describes the components of an enzyme and its reaction mechanism including the roles that the components play in the reaction mechanism.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11182},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12093}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":9255,"fairsharing_record_id":272,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.697Z","updated_at":"2022-04-11T12:07:25.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"273","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-03-23T14:17:08.532Z","metadata":{"doi":"10.25504/FAIRsharing.jt4pzr","name":"Sample Processing and Separation Techniques Ontology","status":"deprecated","contacts":[{"contact_name":"SEP developers","contact_email":"psidev-gps-dev@lists.sourceforge.net"}],"homepage":"http://psidev.info/index.php?q=node/312","citations":[],"identifier":273,"description":"A structured controlled vocabulary for the annotation of sample processing and separation techniques in scientific experiments, such as, and including, gel electrophoresis, column chromatography, capillary electrophoresis, centrifugation and so on. Developed jointly by the HUPO Proteomics Standards Initiative and The Metabolomics Standards Initiative.","abbreviation":"SEP","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SEP","name":"SEP","portal":"BioPortal"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-001006","bsg-s001006"],"name":"FAIRsharing record for: Sample Processing and Separation Techniques Ontology","abbreviation":"SEP","url":"https://fairsharing.org/10.25504/FAIRsharing.jt4pzr","doi":"10.25504/FAIRsharing.jt4pzr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the annotation of sample processing and separation techniques in scientific experiments, such as, and including, gel electrophoresis, column chromatography, capillary electrophoresis, centrifugation and so on. Developed jointly by the HUPO Proteomics Standards Initiative and The Metabolomics Standards Initiative.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Chromatography","Electrophoresis"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"274","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T10:34:23.962Z","metadata":{"doi":"10.25504/FAIRsharing.xhpn6z","name":"Botryllus schlosseri anatomy and development ontology","status":"ready","contacts":[{"contact_name":"Delphine DAUGA","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"http://bioportal.bioontology.org/ontologies/BSAO","citations":[],"identifier":274,"description":"The Botryllus schlosseri Ontology of Development and Anatomy (BODA) is the first ontology describing the anatomy and the development of Botryllus schlosseri. It is based on studies that investigate the anatomy, blastogenesis and regeneration of this organism. BODA features allow the users to easily search and identify anatomical structures in the colony, to define the developmental stage, and to follow the morphogenetic events of a tissue and/or organ of interest throughout asexual development.","abbreviation":"BSAO","support_links":[{"url":"contact@aniseed.cnrs.fr","type":"Support email"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BSAO","name":"BSAO","portal":"BioPortal"}]},"legacy_ids":["bsg-000971","bsg-s000971"],"name":"FAIRsharing record for: Botryllus schlosseri anatomy and development ontology","abbreviation":"BSAO","url":"https://fairsharing.org/10.25504/FAIRsharing.xhpn6z","doi":"10.25504/FAIRsharing.xhpn6z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Botryllus schlosseri Ontology of Development and Anatomy (BODA) is the first ontology describing the anatomy and the development of Botryllus schlosseri. It is based on studies that investigate the anatomy, blastogenesis and regeneration of this organism. BODA features allow the users to easily search and identify anatomical structures in the colony, to define the developmental stage, and to follow the morphogenetic events of a tissue and/or organ of interest throughout asexual development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Botryllus schlosseri"],"user_defined_tags":["Asexual reproduction","Morphogenesis"],"countries":["France","Italy","Japan","United States"],"publications":[{"id":2228,"pubmed_id":24789338,"title":"Ontology for the asexual development and anatomy of the colonial chordate Botryllus schlosseri.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0096434","authors":"Manni L,Gasparini F,Hotta K,Ishizuka KJ,Ricci L,Tiozzo S,Voskoboynik A,Dauga D","journal":"PLoS One","doi":"10.1371/journal.pone.0096434","created_at":"2021-09-30T08:26:31.019Z","updated_at":"2021-09-30T08:26:31.019Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":163,"relation":"undefined"}],"grants":[{"id":5413,"fairsharing_record_id":274,"organisation_id":275,"relation":"maintains","created_at":"2021-09-30T09:27:26.463Z","updated_at":"2021-09-30T09:27:26.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":275,"name":"Bioself Communication, Cannes, France","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5414,"fairsharing_record_id":274,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:27:26.487Z","updated_at":"2021-09-30T09:27:26.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"259","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T14:40:50.877Z","metadata":{"doi":"10.25504/FAIRsharing.kr3215","name":"Access to Biological Collection Data","status":"ready","contacts":[{"contact_name":"Patricia Mergen","contact_email":"secretary@tdwg.org","contact_orcid":"0000-0003-2848-8231"}],"homepage":"http://www.tdwg.org/standards/115/","citations":[],"identifier":259,"description":"The Access to Biological Collections Data (ABCD) Schema is a standard for the access to and exchange of data about primary biodiversity data. It is compatible with several existing data standards and supports several datasets. It is implemented in XML and OWL.","abbreviation":"ABCD","support_links":[{"url":"https://github.com/tdwg/abcd/issues","name":"Issue Tracker","type":"Github"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","name":"TDWG Technical Architecture Group Discussions","type":"Mailing list"},{"url":"https://wiki.bgbm.org/bps/index.php/CommonABCD2Concepts","name":"CommonABCD2Concepts","type":"Help documentation"},{"url":"https://wiki.bgbm.org/bps/index.php/SampleABCDDocument","name":"SampleABCDDocument","type":"Help documentation"},{"url":"https://abcd.tdwg.org/","name":"ABCD Documentation Home","type":"Help documentation"},{"url":"https://abcd.tdwg.org/ontology/documentation/primer/","name":"Ontology Primer","type":"Help documentation"},{"url":"https://abcd.tdwg.org/xml/","name":"XML Overview","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-000197","bsg-s000197"],"name":"FAIRsharing record for: Access to Biological Collection Data","abbreviation":"ABCD","url":"https://fairsharing.org/10.25504/FAIRsharing.kr3215","doi":"10.25504/FAIRsharing.kr3215","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Access to Biological Collections Data (ABCD) Schema is a standard for the access to and exchange of data about primary biodiversity data. It is compatible with several existing data standards and supports several datasets. It is implemented in XML and OWL.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12273},{"linking_record_name":"Biological Collection Access Service","linking_record_id":4209,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14916}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Observations","Structured data"],"countries":["Worldwide"],"publications":[{"id":2792,"pubmed_id":null,"title":"The ABCD of primary biodiversity data access","year":2012,"url":"https://www.tandfonline.com/doi/full/10.1080/11263504.2012.740085?scroll=top\u0026needAccess=true","authors":"J. Holetschek, G. Dröge, A. Güntsch, W. G. Berendsohn","journal":"Plant Biosystems","doi":null,"created_at":"2021-09-30T08:27:43.315Z","updated_at":"2021-09-30T08:27:43.315Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3522,"relation":"applies_to_content"}],"grants":[{"id":5390,"fairsharing_record_id":259,"organisation_id":19,"relation":"maintains","created_at":"2021-09-30T09:27:25.703Z","updated_at":"2021-09-30T09:27:25.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":19,"name":"Access to Biological Collections Data (ABCD) task group, Taxonomic Databases Working Group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBczBEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--12af8bd57badb4a47e9620ec85f39e49a7fd7160/Screenshot%20from%202024-03-05%2013-51-53.png?disposition=inline","exhaustive_licences":true}},{"id":"260","type":"fairsharing_records","attributes":{"created_at":"2016-06-14T22:18:01.000Z","updated_at":"2023-03-09T18:50:31.759Z","metadata":{"doi":"10.25504/FAIRsharing.2fbnkr","name":"Minimum Information About Particle Tracking Experiments","status":"in_development","contacts":[{"contact_name":"Caterina Strambio De Castillia","contact_email":"caterina.stramnio@umassmed.edu","contact_orcid":"0000-0002-1069-1816"}],"homepage":"https://github.com/OmegaProject/MIAPTE","citations":[],"identifier":260,"description":"The proposed Minimum Information About Particle Tracking Experiments (MIAPTE) reporting guidelines described here aims to deliver a set of rules representing the minimal information required to report and support interpretation and assessment of data arising from intracellular multiple particle tracking (MPT) experiments. Examples of such experiments are those tracking viral particles as they move from the site of entry to the site of replication within an infected cell, or those following vesicular dynamics during secretion, endocytosis, or exocytosis. By promoting development of community standards, MIAPTE will contribute to making MPT data FAIR (Findable Accessible Interoperable and Reusable). Ultimately, the goal of MIAPTE is to promote and maximize data access, discovery, preservation, re-use, and re-purposing through efficient annotation, and ultimately to enable reproducibility of particle tracking experiments. The MIAPTE guidelines are intended for different categories of users: 1) Scientists with the desire to make new results available in a way that can be interpreted unequivocally by both humans and machines. For this class of users, MIAPTE provides data descriptors to define data entry terms and the analysis workflow in a unified manner. 2) Scientists wishing to evaluate, replicate and re-analyze results published by others. For this class of users MIAPTE provides descriptors that define the analysis procedures in a manner that facilitates its reproduction. 3) Developers who want to take advantage of the schema of MIAPTE to produce MIAPTE compatible tools. MIAPTE consists of a list of controlled vocabulary (CV) terms that describe elements and properties for the minimal description of particle tracking experiments, with a focus on viral and vesicular traffic within cells. As part of this submission we provide entity relationship (ER) diagrams that show the relationship between terms. Finally, we also provide documents containing the MIAPTE-compliant XML schema describing the data model used by Open Microscopy Environment inteGrated Analysis (OMEGA), our novel particle tracking data analysis and management tool, which is reported in a separate manuscript. MIAPTE is structured in two sub-sections: 1) Section 1 contains elements, attributes and data structures describing the results of particle tracking, namely: particles, links, segments and trajectories. 2) Section 2 contains details about the algorithmic procedure utilized to produce and analyze trajectories as well as the results of trajectory analysis. In addition MIAPTE includes those OME-XML elements that are required to capture the acquisition parameters and the structure of images to be subjected to particle tracking The current version of the model, MIAPTE v02, is intended to be a Request for Comments (Crocker and Postel, 2008). Members of the scientific and developer communities are invited to collaborate with us to modify, extend, and improve the model.","abbreviation":"MIAPTE","support_links":[{"url":"http://big.umassmed.edu/omegaweb/resources/miapte/","name":"MIAPTE page on the OMEGA project website","type":"Help documentation"},{"url":"https://github.com/OmegaProject/MIAPTE/blob/master/2017-07-12_v02/2017-07-12_MIAPTE_v02_Section_1_Trajectories_ER_diagram.png","name":"Entity Relationship schema describing the Section 1 (Trajectory Elements) of MIAPTE","type":"Github"},{"url":"https://github.com/OmegaProject/MIAPTE/blob/master/2017-07-12_v02/2017-07-12_MIAPTE_v02_Section_2_Analysis_ER_diagram.png","name":"Entity Relationship schema describing the Section 2 (Analysis Elements) of MIAPTE","type":"Github"},{"url":"https://github.com/OmegaProject/MIAPTE/blob/master/2017-07-12_v02/2017-07-12_MIAPTE_Guidelines_v02.xlsx","name":"Glossary of MIAPTE guidelines","type":"Github"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/OmegaProject","name":"Open Miscroscopy Environment inteGrated Analysis (OMEGA) beta v034"}]},"legacy_ids":["bsg-000671","bsg-s000671"],"name":"FAIRsharing record for: Minimum Information About Particle Tracking Experiments","abbreviation":"MIAPTE","url":"https://fairsharing.org/10.25504/FAIRsharing.2fbnkr","doi":"10.25504/FAIRsharing.2fbnkr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The proposed Minimum Information About Particle Tracking Experiments (MIAPTE) reporting guidelines described here aims to deliver a set of rules representing the minimal information required to report and support interpretation and assessment of data arising from intracellular multiple particle tracking (MPT) experiments. Examples of such experiments are those tracking viral particles as they move from the site of entry to the site of replication within an infected cell, or those following vesicular dynamics during secretion, endocytosis, or exocytosis. By promoting development of community standards, MIAPTE will contribute to making MPT data FAIR (Findable Accessible Interoperable and Reusable). Ultimately, the goal of MIAPTE is to promote and maximize data access, discovery, preservation, re-use, and re-purposing through efficient annotation, and ultimately to enable reproducibility of particle tracking experiments. The MIAPTE guidelines are intended for different categories of users: 1) Scientists with the desire to make new results available in a way that can be interpreted unequivocally by both humans and machines. For this class of users, MIAPTE provides data descriptors to define data entry terms and the analysis workflow in a unified manner. 2) Scientists wishing to evaluate, replicate and re-analyze results published by others. For this class of users MIAPTE provides descriptors that define the analysis procedures in a manner that facilitates its reproduction. 3) Developers who want to take advantage of the schema of MIAPTE to produce MIAPTE compatible tools. MIAPTE consists of a list of controlled vocabulary (CV) terms that describe elements and properties for the minimal description of particle tracking experiments, with a focus on viral and vesicular traffic within cells. As part of this submission we provide entity relationship (ER) diagrams that show the relationship between terms. Finally, we also provide documents containing the MIAPTE-compliant XML schema describing the data model used by Open Microscopy Environment inteGrated Analysis (OMEGA), our novel particle tracking data analysis and management tool, which is reported in a separate manuscript. MIAPTE is structured in two sub-sections: 1) Section 1 contains elements, attributes and data structures describing the results of particle tracking, namely: particles, links, segments and trajectories. 2) Section 2 contains details about the algorithmic procedure utilized to produce and analyze trajectories as well as the results of trajectory analysis. In addition MIAPTE includes those OME-XML elements that are required to capture the acquisition parameters and the structure of images to be subjected to particle tracking The current version of the model, MIAPTE v02, is intended to be a Request for Comments (Crocker and Postel, 2008). Members of the scientific and developer communities are invited to collaborate with us to modify, extend, and improve the model.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Bioinformatics","Life Science","Cell Biology"],"domains":["Cell","Microscopy","Cellular assay","Imaging","Image","Fluorescence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United States"],"publications":[{"id":2303,"pubmed_id":null,"title":"Proposal for minimum information guidelines to report and reproduce results of particle tracking and motion analysis","year":2017,"url":"http://doi.org/10.1101/155036","authors":"Alessandro Rigano and Caterina Strambio De Castillia","journal":"BioRxiv","doi":"10.1101/155036","created_at":"2021-09-30T08:26:42.291Z","updated_at":"2021-09-30T11:28:40.112Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1082,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1083,"relation":"undefined"}],"grants":[{"id":5391,"fairsharing_record_id":260,"organisation_id":3089,"relation":"maintains","created_at":"2021-09-30T09:27:25.734Z","updated_at":"2021-09-30T09:27:25.734Z","grant_id":null,"is_lead":false,"saved_state":{"id":3089,"name":"University of Massachusetts Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5393,"fairsharing_record_id":260,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:27:25.818Z","updated_at":"2021-09-30T09:27:25.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5392,"fairsharing_record_id":260,"organisation_id":2366,"relation":"funds","created_at":"2021-09-30T09:27:25.776Z","updated_at":"2021-09-30T09:27:25.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":2366,"name":"Program in Molecular Medicine, University of Massachusetts Medical School","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"256","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-11-17T08:07:42.659Z","metadata":{"doi":"10.25504/FAIRsharing.5dnjs2","name":"The Data Use Ontology","status":"ready","contacts":[{"contact_name":"Me´lanie Courtot","contact_email":"mcourtot@gmail.com"}],"homepage":"https://raw.githubusercontent.com/EBISPOT/DUO/master/duo.owl","citations":[],"identifier":256,"description":"The Data Use Ontology (DUO) describes data use requirements and limitations. DUO allows to semantically tag datasets with restriction about their usage, making them discoverable automatically based on the authorization level of users, or intended usage. This resource is based on the OBO Foundry principles, and developed using the W3C Web Ontology Language. It is used in production by the European Genome-phenome Archive (EGA) at EMBL-EBI and CRG as well as the Broad Institute for the Data Use Oversight System (DUOS).","abbreviation":"DUO","support_links":[{"url":"https://github.com/EBISPOT/DUO","name":"DUO on GitHub","type":"Github"},{"url":"https://github.com/EBISPOT/duo/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://doi.org/10.5281/zenodo.4662066","name":"Ontology Development Kit"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DUO","name":"DUO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/duo.html","name":"duo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000962","bsg-s000962"],"name":"FAIRsharing record for: The Data Use Ontology","abbreviation":"DUO","url":"https://fairsharing.org/10.25504/FAIRsharing.5dnjs2","doi":"10.25504/FAIRsharing.5dnjs2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Use Ontology (DUO) describes data use requirements and limitations. DUO allows to semantically tag datasets with restriction about their usage, making them discoverable automatically based on the authorization level of users, or intended usage. This resource is based on the OBO Foundry principles, and developed using the W3C Web Ontology Language. It is used in production by the European Genome-phenome Archive (EGA) at EMBL-EBI and CRG as well as the Broad Institute for the Data Use Oversight System (DUOS).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18277},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16952}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Spain","United Kingdom","United States"],"publications":[{"id":3643,"pubmed_id":null,"title":"The Data Use Ontology to streamline responsible access to human biomedical datasets","year":2021,"url":"http://dx.doi.org/10.1016/j.xgen.2021.100028","authors":"Lawson, Jonathan; Cabili, Moran N.; Kerry, Giselle; Boughtwood, Tiffany; Thorogood, Adrian; Alper, Pinar; Bowers, Sarion R.; Boyles, Rebecca R.; Brookes, Anthony J.; Brush, Matthew; Burdett, Tony; Clissold, Hayley; Donnelly, Stacey; Dyke, Stephanie O.M.; Freeberg, Mallory A.; Haendel, Melissa A.; Hata, Chihiro; Holub, Petr; Jeanson, Francis; Jene, Aina; Kawashima, Minae; Kawashima, Shuichi; Konopko, Melissa; Kyomugisha, Irene; Li, Haoyuan; Linden, Mikael; Rodriguez, Laura Lyman; Morita, Mizuki; Mulder, Nicola; Muller, Jean; Nagaie, Satoshi; Nasir, Jamal; Ogishima, Soichi; Ota Wang, Vivian; Paglione, Laura D.; Pandya, Ravi N.; Parkinson, Helen; Philippakis, Anthony A.; Prasser, Fabian; Rambla, Jordi; Reinold, Kathy; Rushton, Gregory A.; Saltzman, Andrea; Saunders, Gary; Sofia, Heidi J.; Spalding, John D.; Swertz, Morris A.; Tulchinsky, Ilia; van Enckevort, Esther J.; Varma, Susheel; Voisin, Craig; Yamamoto, Natsuko; Yamasaki, Chisato; Zass, Lyndon; Guidry Auvil, Jaime M.; Nyrönen, Tommi H.; Courtot, Mélanie; ","journal":"Cell Genomics","doi":"10.1016/j.xgen.2021.100028","created_at":"2022-10-25T20:32:31.810Z","updated_at":"2022-10-25T20:32:31.810Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1736,"relation":"undefined"}],"grants":[{"id":5388,"fairsharing_record_id":256,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:25.653Z","updated_at":"2021-09-30T09:27:25.653Z","grant_id":null,"is_lead":true,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5386,"fairsharing_record_id":256,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:25.605Z","updated_at":"2021-09-30T09:30:45.107Z","grant_id":852,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"201535/Z/16Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5387,"fairsharing_record_id":256,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:25.628Z","updated_at":"2021-09-30T09:30:34.990Z","grant_id":775,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U01HG009454-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdmdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9a42083efa91d79ee5c7ed8e7868db0f7faf0b76/DUO_logo_white_background.png?disposition=inline","exhaustive_licences":false}},{"id":"257","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-26T08:45:37.199Z","metadata":{"doi":"10.25504/FAIRsharing.b8233y","name":"Darwin Core translations","status":"ready","contacts":[{"contact_name":"John Wieczorek","contact_email":"gtuco.btuco@gmail.com","contact_orcid":"0000-0003-1144-0290"}],"homepage":"https://tdwg.github.io/rs.tdwg.org/","citations":[],"identifier":257,"description":"The Darwin Core is meant to serve a global community. Access to the documents describing the standard in multiple languages will facilitate open access and global adoption. This resource is meant to be an index to all translations of Darwin Core documents. Anyone interested in providing translations to be hosted with the corpus of the standard should contact the Darwin Core Task Group.","abbreviation":"DwC_translations","year_creation":2009},"legacy_ids":["bsg-002821","bsg-s002821"],"name":"FAIRsharing record for: Darwin Core translations","abbreviation":"DwC_translations","url":"https://fairsharing.org/10.25504/FAIRsharing.b8233y","doi":"10.25504/FAIRsharing.b8233y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Darwin Core is meant to serve a global community. Access to the documents describing the standard in multiple languages will facilitate open access and global adoption. This resource is meant to be an index to all translations of Darwin Core documents. Anyone interested in providing translations to be hosted with the corpus of the standard should contact the Darwin Core Task Group.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Data standards"],"countries":["United States"],"publications":[{"id":1522,"pubmed_id":22238640,"title":"Darwin Core: an evolving community-developed biodiversity data standard.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0029715","authors":"Wieczorek J,Bloom D,Guralnick R,Blum S,Doring M,Giovanni R,Robertson T,Vieglais D","journal":"PLoS One","doi":"10.1371/journal.pone.0029715","created_at":"2021-09-30T08:25:10.418Z","updated_at":"2021-09-30T08:25:10.418Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1260,"relation":"undefined"}],"grants":[{"id":9068,"fairsharing_record_id":257,"organisation_id":641,"relation":"maintains","created_at":"2022-03-30T09:38:52.505Z","updated_at":"2022-03-30T09:38:52.505Z","grant_id":null,"is_lead":true,"saved_state":{"id":641,"name":"Darwin Core Maintenance Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"258","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T11:38:51.379Z","metadata":{"doi":"10.25504/FAIRsharing.r30na3","name":"Biosurveillance Resource Directory Disease Ontology","status":"ready","contacts":[{"contact_name":"Ashlynn Daughton","contact_email":"adaughton@lanl.gov"},{"contact_name":"Alina Deshpande","contact_email":"deshpande_a@lanl.gov","contact_orcid":null}],"homepage":"http://brd.bsvgateway.org/disease","citations":[{"doi":"10.1371/journal.pone.0083730","pubmed_id":null,"publication_id":3159}],"identifier":258,"description":"Our disease ontology provides information on infectious diseases, disease synonyms, transmission pathways, disease agents, affected populations and disease properties. Diseases have been grouped into syndromic disease categories, such that programmers can look through relevant categories, as well as at specific diseases. Organisms, linked to both agents and populations, are structured hierarchically, to provide multiple levels of organism resolution. In addition, both disease transmission and relevant disease properties are available to search. Disease properties include tags like 'notifiable diseases' and 'economic importance' to flag particular disease characteristics that may be of interest, but are not captured elsewhere.","abbreviation":"BRD Disease Ontology","support_links":[{"url":"brd@lanl.gov","name":"BRD General Contact","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ABD","name":"ABD","portal":"BioPortal"}]},"legacy_ids":["bsg-000961","bsg-s000961"],"name":"FAIRsharing record for: Biosurveillance Resource Directory Disease Ontology","abbreviation":"BRD Disease Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.r30na3","doi":"10.25504/FAIRsharing.r30na3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Our disease ontology provides information on infectious diseases, disease synonyms, transmission pathways, disease agents, affected populations and disease properties. Diseases have been grouped into syndromic disease categories, such that programmers can look through relevant categories, as well as at specific diseases. Organisms, linked to both agents and populations, are structured hierarchically, to provide multiple levels of organism resolution. In addition, both disease transmission and relevant disease properties are available to search. Disease properties include tags like 'notifiable diseases' and 'economic importance' to flag particular disease characteristics that may be of interest, but are not captured elsewhere.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine"],"domains":["Disease course","Infectious disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3159,"pubmed_id":null,"title":"Advancing a Framework to Enable Characterization and Evaluation of Data Streams Useful for Biosurveillance","year":2014,"url":"http://dx.doi.org/10.1371/journal.pone.0083730","authors":"Margevicius, Kristen J.; Generous, Nicholas; Taylor-McCabe, Kirsten J.; Brown, Mac; Daniel, W. Brent; Castro, Lauren; Hengartner, Andrea; Deshpande, Alina; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0083730","created_at":"2021-12-14T19:21:50.946Z","updated_at":"2021-12-14T19:21:50.946Z"}],"licence_links":[{"licence_name":"Los Alamos National Laboratory Copyright","licence_id":894,"licence_url":"https://www.lanl.gov/resources/web-policies/copyright-legal.php","link_id":2538,"relation":"applies_to_content"}],"grants":[{"id":8647,"fairsharing_record_id":258,"organisation_id":1728,"relation":"maintains","created_at":"2021-12-14T19:21:00.516Z","updated_at":"2021-12-14T19:21:00.516Z","grant_id":null,"is_lead":true,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory (LANL), Los Alamos, NM, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"279","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T12:40:52.262Z","metadata":{"doi":"10.25504/FAIRsharing.y1mmbv","name":"Genomic Epidemiology Ontology","status":"ready","contacts":[{"contact_name":"Damion Dooley","contact_email":"damion.dooley@bccdc.ca"}],"homepage":"https://genepio.org/","identifier":279,"description":"The Genomic Epidemiology Ontology (GenEpiO) covers vocabulary necessary to identify, document and research food-borne pathogens, infectious disease surveillance and outbreak investigations. This includes descriptions of the genomics, laboratory, clinical and epidemiological contextual information required to support data sharing and integration for food-borne infectious disease surveillance and outbreak investigations.","abbreviation":"GenEpiO","support_links":[{"url":"info@genepio.org","name":"General Contact","type":"Support email"},{"url":"https://genepio.org/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://genepio.org/wp-content/uploads/2016/10/GenEpiOConsortiumSlideDeckSept2016.pdf","name":"About GenEpiO (Presentation)","type":"Help documentation"},{"url":"https://github.com/GenEpiO/genepio","name":"GitHub Project","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"http://www.obofoundry.org/ontology/genepio.html","name":"genepio","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000979","bsg-s000979"],"name":"FAIRsharing record for: Genomic Epidemiology Ontology","abbreviation":"GenEpiO","url":"https://fairsharing.org/10.25504/FAIRsharing.y1mmbv","doi":"10.25504/FAIRsharing.y1mmbv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic Epidemiology Ontology (GenEpiO) covers vocabulary necessary to identify, document and research food-borne pathogens, infectious disease surveillance and outbreak investigations. This includes descriptions of the genomics, laboratory, clinical and epidemiological contextual information required to support data sharing and integration for food-borne infectious disease surveillance and outbreak investigations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Epidemiology"],"domains":["Food","Pathogen","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":562,"relation":"undefined"}],"grants":[{"id":5415,"fairsharing_record_id":279,"organisation_id":1100,"relation":"maintains","created_at":"2021-09-30T09:27:26.518Z","updated_at":"2021-09-30T09:27:26.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":1100,"name":"GenEpiO Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"280","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:24.023Z","metadata":{"doi":"10.25504/FAIRsharing.zbff4z","name":"Gene Regulation Ontology","status":"deprecated","contacts":[{"contact_name":"Vivian Lee","contact_email":"vlee@ebi.ac.uk"}],"homepage":"http://purl.bioontology.org/ontology/GRO","identifier":280,"description":"The Gene Regulation Ontology (GRO) is a conceptual model for the domain of gene regulation. It covers processes that are linked to the regulation of gene expression as well as physical entities that are involved in these processes (such as genes and transcription factors) in terms of ontology classes and semantic relations between classes.","abbreviation":"GRO","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GRO","name":"GRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bootstrep.html","name":"bootstrep","portal":"OBO Foundry"}],"deprecation_date":"2016-04-05","deprecation_reason":"This resource has been marked as deprecated by the OBO Foundry, and no active homepage for it can be found."},"legacy_ids":["bsg-000088","bsg-s000088"],"name":"FAIRsharing record for: Gene Regulation Ontology","abbreviation":"GRO","url":"https://fairsharing.org/10.25504/FAIRsharing.zbff4z","doi":"10.25504/FAIRsharing.zbff4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene Regulation Ontology (GRO) is a conceptual model for the domain of gene regulation. It covers processes that are linked to the regulation of gene expression as well as physical entities that are involved in these processes (such as genes and transcription factors) in terms of ontology classes and semantic relations between classes.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11912}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Molecular entity","Regulation of gene expression","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":828,"pubmed_id":18487700,"title":"Gene Regulation Ontology (GRO): design principles and use cases.","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/18487700","authors":"Beisswanger E,Lee V,Kim JJ,Rebholz-Schuhmann D,Splendiani A,Dameron O,Schulz S,Hahn U","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:23:51.321Z","updated_at":"2021-09-30T08:23:51.321Z"}],"licence_links":[],"grants":[{"id":5417,"fairsharing_record_id":280,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:26.602Z","updated_at":"2021-09-30T09:27:26.602Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9230,"fairsharing_record_id":280,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.011Z","updated_at":"2022-04-11T12:07:24.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"281","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-03-30T13:17:34.716Z","metadata":{"doi":"10.25504/FAIRsharing.xj5egt","name":"BIBFRAME 2.0","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu"}],"homepage":"https://www.loc.gov/bibframe/","citations":[],"identifier":281,"description":"Initiated by the Library of Congress, BIBFRAME provides a foundation for the future of bibliographic description, both on the web, and in the broader networked world. This site presents general information about the project, including presentations, FAQs, and links to working documents. In addition to being a replacement for MARC, BIBFRAME serves as a general model for expressing and connecting bibliographic data. A major focus of the initiative will be to determine a transition path for the MARC 21 formats while preserving a robust data exchange that has supported resource sharing and cataloging cost savings in recent decades.","abbreviation":"BIBFRAME","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIBFRAME","name":"BIBFRAME","portal":"BioPortal"}]},"legacy_ids":["bsg-000975","bsg-s000975"],"name":"FAIRsharing record for: BIBFRAME 2.0","abbreviation":"BIBFRAME","url":"https://fairsharing.org/10.25504/FAIRsharing.xj5egt","doi":"10.25504/FAIRsharing.xj5egt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Initiated by the Library of Congress, BIBFRAME provides a foundation for the future of bibliographic description, both on the web, and in the broader networked world. This site presents general information about the project, including presentations, FAQs, and links to working documents. In addition to being a replacement for MARC, BIBFRAME serves as a general model for expressing and connecting bibliographic data. A major focus of the initiative will be to determine a transition path for the MARC 21 formats while preserving a robust data exchange that has supported resource sharing and cataloging cost savings in recent decades.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Citation","Bibliography"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10470,"fairsharing_record_id":281,"organisation_id":1712,"relation":"undefined","created_at":"2023-03-30T13:16:41.497Z","updated_at":"2023-03-30T13:16:41.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"262","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T09:31:05.796Z","metadata":{"doi":"10.25504/FAIRsharing.9aa0zp","name":"Minimum Information about any (x) Sequence","status":"ready","contacts":[{"contact_name":"Ramona Walls","contact_email":"rlwalls2008@gmail.com","contact_orcid":"0000-0001-8815-0078"},{"contact_name":"Chris Hunter","contact_email":"only1chunts@gmail.com","contact_orcid":null},{"contact_name":"Lynn Schriml","contact_email":"lynn.scrhiml@gmail.com","contact_orcid":null}],"homepage":"https://github.com/GenomicsStandardsConsortium/mixs","citations":[],"identifier":262,"description":"The minimum information about any (x) sequence (MIxS) is an overarching framework of standard metadata that includes sequence-type and technology specific checklists. MIxS a checklists are extended using environment or application specific Extensions.","abbreviation":"MIxS","support_links":[{"url":"https://github.com/GenomicsStandardsConsortium/mixs/issues","name":" MIxS Github issue tracker","type":"Github"},{"url":"https://w3id.org/mixs","name":"MIxS Checklists","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"https://isa-tools.org/format/configurations/index.html","name":"ISAcreator configurator tools"},{"url":"http://www.epicollect.net/","name":"EpiCollect"},{"url":"http://qiita.microbio.me/","name":"QIITA"},{"url":"http://rdp.cme.msu.edu/misc/googleSheetsHelp.jsp","name":"RDP MIMARKS Google Sheets"}],"cross_references":[{"url":"http://purl.obolibrary.org/obo/GENEPIO_0000003","name":"Genomic Epidemiology Ontology","portal":"OLS"}]},"legacy_ids":["bsg-000518","bsg-s000518"],"name":"FAIRsharing record for: Minimum Information about any (x) Sequence","abbreviation":"MIxS","url":"https://fairsharing.org/10.25504/FAIRsharing.9aa0zp","doi":"10.25504/FAIRsharing.9aa0zp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The minimum information about any (x) sequence (MIxS) is an overarching framework of standard metadata that includes sequence-type and technology specific checklists. MIxS a checklists are extended using environment or application specific Extensions.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18275},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11857},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12031},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13901}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genomics"],"domains":["Resource metadata","DNA sequence data","Deoxyribonucleic acid","Pathogen","Sequencing","Genetic marker","Metagenome","Genome"],"taxonomies":["All","Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["Germany","United Kingdom","United States"],"publications":[{"id":236,"pubmed_id":21552244,"title":"Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications","year":2011,"url":"http://doi.org/10.1038/nbt.1823","authors":"Yilmaz P, Kottmann R, Field D, Knight R, Cole JR et al.","journal":"Nature Biotechnology","doi":"10.1038/nbt.1823","created_at":"2021-09-30T08:22:45.482Z","updated_at":"2021-09-30T08:22:45.482Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 1.0 Generic (CC BY 1.0)","licence_id":156,"licence_url":"https://creativecommons.org/licenses/by/1.0/","link_id":3550,"relation":"applies_to_content"}],"grants":[{"id":5396,"fairsharing_record_id":262,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:27:25.921Z","updated_at":"2021-09-30T09:27:25.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5395,"fairsharing_record_id":262,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:25.893Z","updated_at":"2021-09-30T09:27:25.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5397,"fairsharing_record_id":262,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:25.946Z","updated_at":"2021-09-30T09:27:25.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5398,"fairsharing_record_id":262,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:25.973Z","updated_at":"2024-04-03T15:09:02.970Z","grant_id":null,"is_lead":true,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"263","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.565Z","metadata":{"doi":"10.25504/FAIRsharing.4qyf0f","name":"Regulation of Transcription Ontolology","status":"ready","contacts":[{"contact_name":"Vladimir Mironov","contact_email":"vladimir.n.mironov@gmail.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/RETO","identifier":263,"description":"An application ontology for the domain of gene transcription regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI and orthological properties from RO and SIO.","abbreviation":"ReTO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RETO","name":"RETO","portal":"BioPortal"}]},"legacy_ids":["bsg-002832","bsg-s002832"],"name":"FAIRsharing record for: Regulation of Transcription Ontolology","abbreviation":"ReTO","url":"https://fairsharing.org/10.25504/FAIRsharing.4qyf0f","doi":"10.25504/FAIRsharing.4qyf0f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of gene transcription regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI and orthological properties from RO and SIO.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12468}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Transcriptomics"],"domains":["Regulation of gene expression","Transcript"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[],"grants":[{"id":5399,"fairsharing_record_id":263,"organisation_id":2544,"relation":"maintains","created_at":"2021-09-30T09:27:26.005Z","updated_at":"2021-09-30T09:27:26.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":2544,"name":"Semantic Systems Biology Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"282","type":"fairsharing_records","attributes":{"created_at":"2017-10-05T14:29:24.000Z","updated_at":"2022-09-08T14:50:27.935Z","metadata":{"doi":"10.25504/FAIRsharing.2hqa97","name":"OmicsDI XML format","status":"ready","contacts":[{"contact_name":"Dr Yasset Perez-Riverol","contact_email":"yperez@ebi.ac.uk"}],"homepage":"https://github.com/OmicsDI/specifications/blob/master/docs/schema/OmicsDISchema.xsd","citations":[],"identifier":282,"description":"XML Schema definition for the OmicsDI XML format.","abbreviation":null,"support_links":[{"url":"omicsdi-support@ebi.ac.uk","name":"OmicsDI Support","type":"Support email"},{"url":"http://blog.omicsdi.org/post/omicsdi-spec/","name":"Blog post describing the OmicsDI schema","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/OmicsDI/xml-validator","name":"OmicsDI XML Validator"}]},"legacy_ids":["bsg-000722","bsg-s000722"],"name":"FAIRsharing record for: OmicsDI XML format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2hqa97","doi":"10.25504/FAIRsharing.2hqa97","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Schema definition for the OmicsDI XML format.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18274},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12448}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Proteomics","Metabolomics","Transcriptomics"],"domains":["Data identity and mapping"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","United Kingdom","United States","European Union"],"publications":[{"id":233,"pubmed_id":28486464,"title":"Discovering and linking public omics data sets using the Omics Discovery Index.","year":2017,"url":"http://doi.org/10.1038/nbt.3790","authors":"Perez-Riverol Y,Bai M,da Veiga Leprevost F,Squizzato S,Park YM,Haug K,Carroll AJ,Spalding D,Paschall J,Wang M,Del-Toro N,Ternent T,Zhang P,Buso N,Bandeira N,Deutsch EW,Campbell DS,Beavis RC,Salek RM,Sarkans U,Petryszak R,Keays M,Fahy E,Sud M,Subramaniam S,Barbera A,Jimenez RC,Nesvizhskii AI,Sansone SA,Steinbeck C,Lopez R,Vizcaino JA,Ping P,Hermjakob H","journal":"Nat Biotechnol","doi":"10.1038/nbt.3790","created_at":"2021-09-30T08:22:45.133Z","updated_at":"2021-09-30T08:22:45.133Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1459,"relation":"undefined"}],"grants":[{"id":5419,"fairsharing_record_id":282,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:26.674Z","updated_at":"2021-09-30T09:27:26.674Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5420,"fairsharing_record_id":282,"organisation_id":1968,"relation":"maintains","created_at":"2021-09-30T09:27:26.710Z","updated_at":"2021-09-30T09:27:26.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":1968,"name":"National Center for Protein Sciences, Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"283","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:53.000Z","updated_at":"2022-07-20T11:51:36.309Z","metadata":{"doi":"10.25504/FAIRsharing.2dUpZs","name":"FAIR Maturity Indicator Gen2-MI-F2A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F2A.md","identifier":283,"description":"The FAIR Maturity Indicator Gen2-MI-F2A measures whether the metadata of the record contains \"structured\" elements. These may be in the form of hash-like content (micrograph, JSON), or in one of the various forms of linked data (JSON-LD, RDFa, etc.).","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001374","bsg-s001374"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F2A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2dUpZs","doi":"10.25504/FAIRsharing.2dUpZs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F2A measures whether the metadata of the record contains \"structured\" elements. These may be in the form of hash-like content (micrograph, JSON), or in one of the various forms of linked data (JSON-LD, RDFa, etc.).","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13168},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13210},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13229},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13259},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13273},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20167}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1485,"relation":"undefined"}],"grants":[{"id":5421,"fairsharing_record_id":283,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:26.752Z","updated_at":"2021-09-30T09:27:26.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5423,"fairsharing_record_id":283,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:26.828Z","updated_at":"2021-09-30T09:27:26.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5422,"fairsharing_record_id":283,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:26.790Z","updated_at":"2021-09-30T09:27:26.790Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5424,"fairsharing_record_id":283,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:26.869Z","updated_at":"2021-09-30T09:27:26.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"284","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:47:45.104Z","metadata":{"doi":"10.25504/FAIRsharing.b084yh","name":"Online Mendelian Inheritance in Man Ontology","status":"ready","homepage":"http://omim.org/","identifier":284,"description":"OMIM is a comprehensive, authoritative compendium of human genes and genetic phenotypes as well as the relationship between them, that is freely available and updated daily. The OMIM ontology contains terms used within the OMIM database.","abbreviation":"OMIM Ontology","support_links":[{"url":"http://omim.org/contact","type":"Contact form"},{"url":"http://omim.org/help/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://omim.org/help/search","type":"Help documentation"},{"url":"http://omim.org/help/linking","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMIM","name":"OMIM","portal":"BioPortal"}]},"legacy_ids":["bsg-002615","bsg-s002615"],"name":"FAIRsharing record for: Online Mendelian Inheritance in Man Ontology","abbreviation":"OMIM Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.b084yh","doi":"10.25504/FAIRsharing.b084yh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OMIM is a comprehensive, authoritative compendium of human genes and genetic phenotypes as well as the relationship between them, that is freely available and updated daily. The OMIM ontology contains terms used within the OMIM database.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12015},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16955}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Disease process modeling","Phenotype","Disease","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1129,"pubmed_id":25428349,"title":"OMIM.org: Online Mendelian Inheritance in Man (OMIM(R)), an online catalog of human genes and genetic disorders.","year":2014,"url":"http://doi.org/10.1093/nar/gku1205","authors":"Amberger JS,Bocchini CA,Schiettecatte F,Scott AF,Hamosh A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1205","created_at":"2021-09-30T08:24:25.287Z","updated_at":"2021-09-30T11:28:59.934Z"}],"licence_links":[],"grants":[{"id":5425,"fairsharing_record_id":284,"organisation_id":2240,"relation":"maintains","created_at":"2021-09-30T09:27:26.911Z","updated_at":"2021-09-30T09:27:26.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":2240,"name":"OMIM Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5426,"fairsharing_record_id":284,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:26.949Z","updated_at":"2021-09-30T09:32:04.266Z","grant_id":1454,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1U41HG006627","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"261","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.424Z","metadata":{"doi":"10.25504/FAIRsharing.h1drng","name":"Tagged Image File Format","status":"ready","homepage":"http://www.digitalpreservation.gov/formats/fdd/fdd000022.shtml","identifier":261,"description":"A tag-based file format for storing and interchanging raster images.","abbreviation":null,"support_links":[{"url":"http://www.digitalpreservation.gov/formats/contact_format.shtml","type":"Contact form"},{"url":"https://en.wikipedia.org/wiki/TIFF","type":"Wikipedia"},{"url":"http://partners.adobe.com/public/developer/tiff/index.html","type":"Help documentation"}],"year_creation":1992},"legacy_ids":["bsg-000268","bsg-s000268"],"name":"FAIRsharing record for: Tagged Image File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.h1drng","doi":"10.25504/FAIRsharing.h1drng","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A tag-based file format for storing and interchanging raster images.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5394,"fairsharing_record_id":261,"organisation_id":25,"relation":"maintains","created_at":"2021-09-30T09:27:25.856Z","updated_at":"2021-09-30T09:27:25.856Z","grant_id":null,"is_lead":false,"saved_state":{"id":25,"name":"Adobe","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"285","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:55.700Z","metadata":{"doi":"10.25504/FAIRsharing.fk6zhb","name":"mz Quantitative Markup Language","status":"ready","contacts":[{"contact_name":"Andrew R Jones","contact_email":"andrew.jones@liv.ac.uk"}],"homepage":"http://www.psidev.info/mzquantml","identifier":285,"description":"The mzQuantML standard format is intended to store the systematic description of workflows quantifying molecules (principally peptides and proteins) by mass spectrometry. A large number of different software packages are available that produce output in a variety of different formats. It is intended that mzQuantML will provide a common format for the export of identification results from any software package.","abbreviation":"mzQuantML","support_links":[{"url":"psi-dev@listserv.sourceforge.net","name":"PSI Dev Mailing list","type":"Mailing list"},{"url":"https://github.com/HUPO-PSI/mzQuantML/raw/master/documentation/version1.0/mzQuantML1.0.1.docx","name":"User Guide","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-000003","bsg-s000003"],"name":"FAIRsharing record for: mz Quantitative Markup Language","abbreviation":"mzQuantML","url":"https://fairsharing.org/10.25504/FAIRsharing.fk6zhb","doi":"10.25504/FAIRsharing.fk6zhb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mzQuantML standard format is intended to store the systematic description of workflows quantifying molecules (principally peptides and proteins) by mass spectrometry. A large number of different software packages are available that produce output in a variety of different formats. It is intended that mzQuantML will provide a common format for the export of identification results from any software package.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11423},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11929},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16911}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Quantification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1339,"pubmed_id":23599424,"title":"The mzQuantML data standard for mass spectrometry-based quantitative studies in proteomics.","year":2013,"url":"http://doi.org/10.1074/mcp.O113.028506","authors":"Walzer M,Qi D,Mayer G,Uszkoreit J,Eisenacher M,Sachsenberg T,Gonzalez-Galarza FF,Fan J,Bessant C,Deutsch EW,Reisinger F,Vizcaino JA,Medina-Aunon JA,Albar JP,Kohlbacher O,Jones AR","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O113.028506","created_at":"2021-09-30T08:24:49.843Z","updated_at":"2021-09-30T08:24:49.843Z"}],"licence_links":[{"licence_name":"Mozilla Public License","licence_id":525,"licence_url":"https://www.mozilla.org/en-US/MPL/","link_id":554,"relation":"undefined"}],"grants":[{"id":5430,"fairsharing_record_id":285,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:27.061Z","updated_at":"2021-09-30T09:27:27.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5431,"fairsharing_record_id":285,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:27.099Z","updated_at":"2021-09-30T09:31:54.451Z","grant_id":1380,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I00095X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5427,"fairsharing_record_id":285,"organisation_id":2378,"relation":"funds","created_at":"2021-09-30T09:27:26.981Z","updated_at":"2021-09-30T09:27:26.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":2378,"name":"ProteomeXchange","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5429,"fairsharing_record_id":285,"organisation_id":2391,"relation":"maintains","created_at":"2021-09-30T09:27:27.030Z","updated_at":"2021-09-30T09:27:27.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":2391,"name":"Quantitative Biology Center (QBiC), Tuebingen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9282,"fairsharing_record_id":285,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:27.586Z","updated_at":"2022-04-11T12:07:27.602Z","grant_id":925,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0315450","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"286","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T11:30:33.364Z","metadata":{"doi":"10.25504/FAIRsharing.an9ct0","name":"BioMedBridges Diabetes Ontology","status":"deprecated","contacts":[{"contact_name":"Philipp","contact_email":"philipp.gormanns@helmholtz-muenchen.de"},{"contact_name":"General Queries about BioMedBridges","contact_email":"grants@elixir-europe.org","contact_orcid":null}],"homepage":"http://www.biomedbridges.eu/unlocking-data-mouse-disease-models-diabetes-ontology","citations":[],"identifier":286,"description":"The BioMedBridges diabetes-specific ontology enables users to integrate data resources related to prediabetes, diabetes, and late consequences/complications of diabetes. Data integration between mouse disease models and human studies is hindered by fundamental differences in the ontologies used by the respective communities to describe the same phenotypes. Common standards and ontologies to bridge the phenotype gap between mouse and human open extensive mouse phenotype data to clinical researchers. \n\nTo develop a comprehensive set of terms to describe Type 2 diabetes and obesity phenotypes in mouse and human, Type 2 Diabetes-related phenotypes were mined from the literature for use as new phenotype terms. Expert clinicians/diabetologists then curated the mined terms and categorised them by temporal disease stages. The ontology was then used for the annotation of mouse and human datasets with specific terminology representing Type 2 Diabetes progression, which will ultimately support translational research.","abbreviation":"DIAB","support_links":[{"url":"https://github.com/vasant32/DiabetesOntology","name":"GitHub Repository","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DIAB","name":"DIAB","portal":"BioPortal"}],"deprecation_date":"2022-01-19","deprecation_reason":"The project is no longer active and the homepage is available for reference purposes only."},"legacy_ids":["bsg-000980","bsg-s000980"],"name":"FAIRsharing record for: BioMedBridges Diabetes Ontology","abbreviation":"DIAB","url":"https://fairsharing.org/10.25504/FAIRsharing.an9ct0","doi":"10.25504/FAIRsharing.an9ct0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioMedBridges diabetes-specific ontology enables users to integrate data resources related to prediabetes, diabetes, and late consequences/complications of diabetes. Data integration between mouse disease models and human studies is hindered by fundamental differences in the ontologies used by the respective communities to describe the same phenotypes. Common standards and ontologies to bridge the phenotype gap between mouse and human open extensive mouse phenotype data to clinical researchers. \n\nTo develop a comprehensive set of terms to describe Type 2 diabetes and obesity phenotypes in mouse and human, Type 2 Diabetes-related phenotypes were mined from the literature for use as new phenotype terms. Expert clinicians/diabetologists then curated the mined terms and categorised them by temporal disease stages. The ontology was then used for the annotation of mouse and human datasets with specific terminology representing Type 2 Diabetes progression, which will ultimately support translational research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Diabetology"],"domains":["Diabetes mellitus"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"287","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-01-06T09:09:19.742Z","metadata":{"doi":"10.25504/FAIRsharing.bke5k","name":"Rheumatoid Arthritis ontology","status":"deprecated","contacts":[{"contact_name":"Liqin Wang","contact_email":"liqin.j.wang@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/RAO","citations":[],"identifier":287,"description":"A controlled vocabulary of RA-relevant information. Currently, only treatment information is available.","abbreviation":"RAO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RAO","name":"RAO","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"No valid homepage for this resource can be found. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-000977","bsg-s000977"],"name":"FAIRsharing record for: Rheumatoid Arthritis ontology","abbreviation":"RAO","url":"https://fairsharing.org/10.25504/FAIRsharing.bke5k","doi":"10.25504/FAIRsharing.bke5k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary of RA-relevant information. Currently, only treatment information is available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Rheumatology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"288","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:23.000Z","updated_at":"2022-07-20T11:10:58.324Z","metadata":{"doi":"10.25504/FAIRsharing.qUroF6","name":"FAIR Maturity Indicator Gen2-MI-I1A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I1A.md","identifier":288,"description":"The FAIR Maturity Indicator Gen2-MI-I1A measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a loose definition, that any kind of structured information is sufficient.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001378","bsg-s001378"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I1A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qUroF6","doi":"10.25504/FAIRsharing.qUroF6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I1A measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a loose definition, that any kind of structured information is sufficient.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13192},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13222},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13252},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13267},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20176}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1489,"relation":"undefined"}],"grants":[{"id":5435,"fairsharing_record_id":288,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:27.253Z","updated_at":"2021-09-30T09:27:27.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5432,"fairsharing_record_id":288,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:27.132Z","updated_at":"2021-09-30T09:27:27.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5433,"fairsharing_record_id":288,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:27.169Z","updated_at":"2021-09-30T09:27:27.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5434,"fairsharing_record_id":288,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:27.211Z","updated_at":"2021-09-30T09:27:27.211Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"289","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:04.421Z","metadata":{"doi":"10.25504/FAIRsharing.p51kqa","name":"Vertebrate Skeletal Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Wasila Dahdul","contact_email":"wasila.dahdul@usd.edu"}],"homepage":"https://wiki.phenoscape.org/wiki/Ontologies#Vertebrate_Skeletal_Anatomy_Ontology_.28VSAO.29","identifier":289,"description":"VSAO is an anatomy ontology covering the vertebrate skeletal system. VSAO integrates terms for skeletal cells, tissues, biological processes, organs (skeletal elements such as bones and cartilages), and subdivisions of the skeletal system. Note that VSAO is a deprecated ontology and has been superceded by Uberon.","abbreviation":"VSAO","support_links":[{"url":"https://wiki.phenoscape.org/wiki/Main_Page","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VSAO","name":"VSAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/vsao.html","name":"vsao","portal":"OBO Foundry"}],"deprecation_date":"2021-09-30","deprecation_reason":"Superceded by Uberon (https://fairsharing.org/FAIRsharing.4c0b6b)."},"legacy_ids":["bsg-000017","bsg-s000017"],"name":"FAIRsharing record for: Vertebrate Skeletal Anatomy Ontology","abbreviation":"VSAO","url":"https://fairsharing.org/10.25504/FAIRsharing.p51kqa","doi":"10.25504/FAIRsharing.p51kqa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VSAO is an anatomy ontology covering the vertebrate skeletal system. VSAO integrates terms for skeletal cells, tissues, biological processes, organs (skeletal elements such as bones and cartilages), and subdivisions of the skeletal system. Note that VSAO is a deprecated ontology and has been superceded by Uberon.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell","Molecular interaction","Organ","Tissue","Bone"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1654,"pubmed_id":23251424,"title":"A unified anatomy ontology of the vertebrate skeletal system.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0051070","authors":"Dahdul WM,Balhoff JP,Blackburn DC,Diehl AD,Haendel MA,Hall BK,Lapp H,Lundberg JG,Mungall CJ,Ringwald M,Segerdell E,Van Slyke CE,Vickaryous MK,Westerfield M,Mabee PM","journal":"PLoS One","doi":"10.1371/journal.pone.0051070","created_at":"2021-09-30T08:25:25.293Z","updated_at":"2021-09-30T08:25:25.293Z"}],"licence_links":[],"grants":[{"id":5436,"fairsharing_record_id":289,"organisation_id":2809,"relation":"maintains","created_at":"2021-09-30T09:27:27.332Z","updated_at":"2021-09-30T09:27:27.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"290","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-03-11T11:56:29.658Z","metadata":{"doi":"10.25504/FAIRsharing.jcj3gv","name":"Monogenean Ontology","status":"deprecated","contacts":[{"contact_name":"Narjes","contact_email":"hn.narjes@gmail.com"},{"contact_name":"Sarinder Kaur","contact_email":"sarinder@um.edu.my","contact_orcid":null}],"homepage":"http://bioportal.bioontology.org/ontologies/MONO","citations":[],"identifier":290,"description":"The Monogenean Ontology is an ontology describing the anatomy of Monogeneans, small worms that parasitise aquatic animals such as fish and frogs.","abbreviation":"MONO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MONO","name":"MONO","portal":"BioPortal"}],"deprecation_date":"2022-03-11","deprecation_reason":"This resource has not been updated in BioPortal since its initial submission, and no alternative homepage or information can be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000976","bsg-s000976"],"name":"FAIRsharing record for: Monogenean Ontology","abbreviation":"MONO","url":"https://fairsharing.org/10.25504/FAIRsharing.jcj3gv","doi":"10.25504/FAIRsharing.jcj3gv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Monogenean Ontology is an ontology describing the anatomy of Monogeneans, small worms that parasitise aquatic animals such as fish and frogs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Monogenea"],"user_defined_tags":[],"countries":["Malaysia"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"291","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:08:22.000Z","updated_at":"2022-07-20T12:38:57.054Z","metadata":{"doi":"10.25504/FAIRsharing.LLXjWx","name":"FAIR Maturity Indicator Gen2-MI-I3","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I3.md","identifier":291,"description":"The FAIR Maturity Indicator Gen2-MI-I3 measures whether the linked data metadata contain links that are not from the same source (domain/host). Data silos thwart interoperability. Thus, we should reasonably expect that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5 star linked data.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001382","bsg-s001382"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I3","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LLXjWx","doi":"10.25504/FAIRsharing.LLXjWx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I3 measures whether the linked data metadata contain links that are not from the same source (domain/host). Data silos thwart interoperability. Thus, we should reasonably expect that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5 star linked data.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13188},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13218},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13263},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20166}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1493,"relation":"undefined"}],"grants":[{"id":5438,"fairsharing_record_id":291,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:27.425Z","updated_at":"2021-09-30T09:27:27.425Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5437,"fairsharing_record_id":291,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:27.387Z","updated_at":"2021-09-30T09:27:27.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5439,"fairsharing_record_id":291,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:27.460Z","updated_at":"2021-09-30T09:27:27.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5440,"fairsharing_record_id":291,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:27.490Z","updated_at":"2021-09-30T09:27:27.490Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"292","type":"fairsharing_records","attributes":{"created_at":"2021-01-30T10:50:05.000Z","updated_at":"2022-02-08T10:42:52.411Z","metadata":{"doi":"10.25504/FAIRsharing.695abb","name":"Connectivity Table file format","status":"ready","contacts":[{"contact_name":"David H. Mathews","contact_email":"David_Mathews@urmc.rochester.edu","contact_orcid":"0000-0002-2907-6557"}],"homepage":"http://rna.urmc.rochester.edu/Text/File_Formats.html#CT","identifier":292,"description":"A CT (Connectivity Table) file contains secondary structure information for a RNA sequence.","abbreviation":"CT file format"},"legacy_ids":["bsg-001586","bsg-s001586"],"name":"FAIRsharing record for: Connectivity Table file format","abbreviation":"CT file format","url":"https://fairsharing.org/10.25504/FAIRsharing.695abb","doi":"10.25504/FAIRsharing.695abb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A CT (Connectivity Table) file contains secondary structure information for a RNA sequence.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12142}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["RNA sequence","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5441,"fairsharing_record_id":292,"organisation_id":1772,"relation":"maintains","created_at":"2021-09-30T09:27:27.521Z","updated_at":"2021-09-30T09:27:27.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":1772,"name":"Mathews Lab, Department of Biochemistry \u0026 Biophysics, University of Rochester Medical Center, Rochester, NY, US","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"293","type":"fairsharing_records","attributes":{"created_at":"2020-01-28T12:51:30.000Z","updated_at":"2022-02-08T10:31:10.392Z","metadata":{"doi":"10.25504/FAIRsharing.504c6c","name":"Radiomics Ontology","status":"ready","contacts":[{"contact_name":"Alberto Traverso","contact_email":"alberto.traverso@maastro.nl"}],"homepage":"https://github.com/albytrav/RadiomicsOntologyIBSI","identifier":293,"description":"The Radiomics Ontology (RO) aims to cover the radiomics feature domain as well as the full spectrum of radiomics computational details. Radiomics is a research area concerned with the extraction of large amount of features from radiographic medical images. The current version of the RO includes all the possible steps that should be documented when performing a radiomic study. RO shares IRIs with the IBSI reference manual.","abbreviation":"RO","support_links":[{"url":"https://github.com/albytrav/RadiomicsOntologyIBSI/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/albytrav/RadiomicsOntologyIBSI/wiki/1.-Home","name":"Wiki","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RO","name":"RO","portal":"BioPortal"}]},"legacy_ids":["bsg-001441","bsg-s001441"],"name":"FAIRsharing record for: Radiomics Ontology","abbreviation":"RO","url":"https://fairsharing.org/10.25504/FAIRsharing.504c6c","doi":"10.25504/FAIRsharing.504c6c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Radiomics Ontology (RO) aims to cover the radiomics feature domain as well as the full spectrum of radiomics computational details. Radiomics is a research area concerned with the extraction of large amount of features from radiographic medical images. The current version of the RO includes all the possible steps that should be documented when performing a radiomic study. RO shares IRIs with the IBSI reference manual.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiology","Computer Science","Biomedical Science"],"domains":["Medical imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Radiomics"],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":5442,"fairsharing_record_id":293,"organisation_id":1740,"relation":"maintains","created_at":"2021-09-30T09:27:27.553Z","updated_at":"2021-09-30T09:27:27.553Z","grant_id":null,"is_lead":true,"saved_state":{"id":1740,"name":"MAASTRO Clinic, Maastricht, The Netherlands","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"294","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-05-16T10:22:09.508Z","metadata":{"doi":"10.25504/FAIRsharing.46rwe6","name":"Clinical Signs and Symptoms Ontology","status":"deprecated","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"http://mdb.bio.titech.ac.jp/csso","citations":[],"identifier":294,"description":"An ontology for describing clinical signs and symptoms.","abbreviation":"CSSO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSSO","name":"CSSO","portal":"BioPortal"}],"deprecation_date":"2022-05-12","deprecation_reason":"This resource's homepage can no longer be found, and the related ontology download in BioPortal has not been updated since 2016. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-000982","bsg-s000982"],"name":"FAIRsharing record for: Clinical Signs and Symptoms Ontology","abbreviation":"CSSO","url":"https://fairsharing.org/10.25504/FAIRsharing.46rwe6","doi":"10.25504/FAIRsharing.46rwe6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing clinical signs and symptoms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"295","type":"fairsharing_records","attributes":{"created_at":"2016-12-27T19:50:55.000Z","updated_at":"2023-01-02T11:00:31.211Z","metadata":{"doi":"10.25504/FAIRsharing.9y8f0n","name":"The Potential Drug-drug Interaction and Potential Drug-drug Interaction Evidence Ontology","status":"ready","contacts":[{"contact_name":"Richard D. Boyce","contact_email":"rdb20@pitt.edu","contact_orcid":"0000-0002-2993-2085"}],"homepage":"https://github.com/DIDEO/DIDEO","citations":[],"identifier":295,"description":"A domain ontology for potential drug-drug interactions (PDDIs) that covers the material entities and processes in the domain of discourse for PDDI evidence and knowledge claims. The representation enables the integration of drug interaction mechanisms, effects, risk factors, severity, and management options with the chemical and pharmacological properties (e.g., chemical structure, function, pharmacokinetic and pharmacodynamic properties) of the interacting drugs. It also has a rich and detailed set evidence entities related to pharmacology. See below for publications about DIDEO. A description of the goals of the project can be found in the following workshop paper located in the docs/DIDEO-discussion-ICBO-Brochhausen-2014.pdf: Brochhausen, M., Schneider, J., Malone, D., Empey, PE., Hogan WR., and Boyce, RD. Towards a foundational representation of potential drug-drug interaction knowledge. The 1st International Drug-Drug Interaction Knowledge Representation Workshop (DIKR 2014). Collocated with the 2014 International Conference on Biomedical Ontology (ICBO 2014). October 6th, Houston, Texas. United States.","abbreviation":"DIDEO","support_links":[{"url":"http://forums.dikb.org/c/ontology-and-representation","type":"Forum"}],"year_creation":2014,"associated_tools":[{"url":"https://repo.napdi.org/","name":"The Natural Product-Drug Interaction Research Data Repository 1.0"}],"cross_references":[{"url":"http://www.obofoundry.org/ontology/dideo.html","name":"dideo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000690","bsg-s000690"],"name":"FAIRsharing record for: The Potential Drug-drug Interaction and Potential Drug-drug Interaction Evidence Ontology","abbreviation":"DIDEO","url":"https://fairsharing.org/10.25504/FAIRsharing.9y8f0n","doi":"10.25504/FAIRsharing.9y8f0n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A domain ontology for potential drug-drug interactions (PDDIs) that covers the material entities and processes in the domain of discourse for PDDI evidence and knowledge claims. The representation enables the integration of drug interaction mechanisms, effects, risk factors, severity, and management options with the chemical and pharmacological properties (e.g., chemical structure, function, pharmacokinetic and pharmacodynamic properties) of the interacting drugs. It also has a rich and detailed set evidence entities related to pharmacology. See below for publications about DIDEO. A description of the goals of the project can be found in the following workshop paper located in the docs/DIDEO-discussion-ICBO-Brochhausen-2014.pdf: Brochhausen, M., Schneider, J., Malone, D., Empey, PE., Hogan WR., and Boyce, RD. Towards a foundational representation of potential drug-drug interaction knowledge. The 1st International Drug-Drug Interaction Knowledge Representation Workshop (DIKR 2014). Collocated with the 2014 International Conference on Biomedical Ontology (ICBO 2014). October 6th, Houston, Texas. United States.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry"],"domains":["Evidence","Drug interaction","Natural product"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":422,"pubmed_id":null,"title":"Conceptual models of drug-drug interactions : A summary of recent efforts","year":2016,"url":"http://doi.org/10.1016/j.knosys.2016.10.006","authors":"María Herrero-Zazo and Isabel Segura-Bedmar and Paloma Martínez","journal":"Knowledge-based systems","doi":"10.1016/j.knosys.2016.10.006","created_at":"2021-09-30T08:23:05.866Z","updated_at":"2021-09-30T08:23:05.866Z"},{"id":1953,"pubmed_id":null,"title":"Towards a foundational representation of potential drug-drug interaction knowledge.","year":2014,"url":"https://www.dbmi.pitt.edu/sites/default/files/lisc2014_proceedings2.pdf","authors":"Brochhausen, M. Et al.","journal":"The 1st International Drug-Drug Interaction Knowledge Representation Workshop (DIKR 2014). Collocated with the 2014 International Conference on Biomedical Ontology (ICBO 2014).","doi":null,"created_at":"2021-09-30T08:25:59.774Z","updated_at":"2021-09-30T11:28:33.744Z"},{"id":2452,"pubmed_id":29743102,"title":"Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0183-z","authors":"Judkins J,Tay-Sontheimer J,Boyce RD,Brochhausen M","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0183-z","created_at":"2021-09-30T08:27:00.787Z","updated_at":"2021-09-30T08:27:00.787Z"},{"id":2549,"pubmed_id":29295242,"title":"Formalizing Evidence Type Definitions for Drug-Drug Interaction Studies to Improve Evidence Base Curation.","year":2018,"url":"https://www.ncbi.nlm.nih.gov/pubmed/29295242","authors":"Utecht J,Brochhausen M,Judkins J,Schneider J,Boyce RD","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:27:12.587Z","updated_at":"2021-09-30T08:27:12.587Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":573,"relation":"undefined"}],"grants":[{"id":5444,"fairsharing_record_id":295,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:27.624Z","updated_at":"2021-09-30T09:27:27.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5443,"fairsharing_record_id":295,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:27.592Z","updated_at":"2021-09-30T09:32:07.994Z","grant_id":1483,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01LM011838","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"296","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:08:12.000Z","updated_at":"2022-07-20T12:08:02.348Z","metadata":{"doi":"10.25504/FAIRsharing.RCUuvt","name":"FAIR Maturity Indicator Gen2-MI-I2B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I2B.md","identifier":296,"description":"The FAIR Maturity Indicator Gen2-MI-I2B measures if the (meta)data uses vocabularies that are, themselves, FAIR. In this strict Maturity Indicator, we test if the vocabulary terms resolve to machine-readable linked data. A second Maturity Indicator (Gen2-FM-I2A) is looser than this MI.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001381","bsg-s001381"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I2B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.RCUuvt","doi":"10.25504/FAIRsharing.RCUuvt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I2B measures if the (meta)data uses vocabularies that are, themselves, FAIR. In this strict Maturity Indicator, we test if the vocabulary terms resolve to machine-readable linked data. A second Maturity Indicator (Gen2-FM-I2A) is looser than this MI.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13189},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13219},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13249},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13264},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20179}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1492,"relation":"undefined"}],"grants":[{"id":5445,"fairsharing_record_id":296,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:27.661Z","updated_at":"2021-09-30T09:27:27.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5446,"fairsharing_record_id":296,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:27.703Z","updated_at":"2021-09-30T09:27:27.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5447,"fairsharing_record_id":296,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:27.745Z","updated_at":"2021-09-30T09:27:27.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5448,"fairsharing_record_id":296,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:27.782Z","updated_at":"2021-09-30T09:27:27.782Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"297","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T11:09:01.963Z","metadata":{"doi":"10.25504/FAIRsharing.knrb06","name":"Nexus XML","status":"ready","contacts":[{"contact_name":"Rutger Vos","contact_email":"rutger.vos@ncbnaturalis.nl","contact_orcid":"0000-0001-9254-7318"}],"homepage":"https://github.com/nexml","citations":[],"identifier":297,"description":"To facilitate interoperability in evolutionary comparative analysis, we present NeXML, an XML standard (inspired by the current standard, NEXUS) that supports exchange of richly annotated comparative data. NeXML defines syntax for operational taxonomic units, character-state matrices, and phylogenetic trees and networks. Documents can be validated unambiguously. Importantly, any data element can be annotated, to an arbitrary degree of richness, using a system that is both flexible and rigorous. We describe how the use of NeXML by the TreeBASE and Phenoscape projects satisfies user needs that cannot be satisfied with other available file formats","abbreviation":"NeXML","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/nexml-discuss","type":"Mailing list"},{"url":"https://github.com/nexml","name":"NeXML Manual","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/NeXML_format","name":"Wikipedia ","type":"Other"}],"year_creation":2011},"legacy_ids":["bsg-000529","bsg-s000529"],"name":"FAIRsharing record for: Nexus XML","abbreviation":"NeXML","url":"https://fairsharing.org/10.25504/FAIRsharing.knrb06","doi":"10.25504/FAIRsharing.knrb06","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To facilitate interoperability in evolutionary comparative analysis, we present NeXML, an XML standard (inspired by the current standard, NEXUS) that supports exchange of richly annotated comparative data. NeXML defines syntax for operational taxonomic units, character-state matrices, and phylogenetic trees and networks. Documents can be validated unambiguously. Importantly, any data element can be annotated, to an arbitrary degree of richness, using a system that is both flexible and rigorous. We describe how the use of NeXML by the TreeBASE and Phenoscape projects satisfies user needs that cannot be satisfied with other available file formats","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","India","Netherlands","United States"],"publications":[{"id":2291,"pubmed_id":22357728,"title":"NeXML: Rich, Extensible, and Verifiable Representation of Comparative Data and Metadata","year":2012,"url":"http://doi.org/10.1093/sysbio/sys025","authors":"Vos RA, Balhoff JP, Caravas JA, Holder MT, Lapp H, Maddison WP, Midford PE, Priyam A, Sukumaran J, Xia X, Stoltzfus A.","journal":"Systematic Biology","doi":"doi:10.1093/sysbio/sys025","created_at":"2021-09-30T08:26:39.465Z","updated_at":"2021-09-30T08:26:39.465Z"}],"licence_links":[],"grants":[{"id":5450,"fairsharing_record_id":297,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:27.879Z","updated_at":"2021-09-30T09:29:18.519Z","grant_id":188,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"237046","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5449,"fairsharing_record_id":297,"organisation_id":3107,"relation":"maintains","created_at":"2021-09-30T09:27:27.815Z","updated_at":"2021-09-30T09:27:27.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"298","type":"fairsharing_records","attributes":{"created_at":"2018-07-17T12:22:49.000Z","updated_at":"2023-11-01T11:09:03.814Z","metadata":{"name":"FAIR Data Point","status":"in_development","homepage":"https://github.com/DTL-FAIRData/FAIRDataPoint","identifier":298,"description":"FAIRDataPoint is a REST api for creating, storing and servering FAIR metadata. The metadata contents are in this api are generated semi-automatically according to the FAIR Data Point software specification document. In the current version of api we support GET, POST and PATCH requests.","abbreviation":"FDP","support_links":[{"url":"https://github.com/DTL-FAIRData/FAIRDataPoint/wiki/FAIR-Data-Point-Specification","name":"FAIR Data Point Specification","type":"Github"},{"url":"https://fairdatapoint.readthedocs.io/en/latest/","name":"FAIR Data Point Documentation","type":"Help documentation"}]},"legacy_ids":["bsg-001221","bsg-s001221"],"name":"FAIRsharing record for: FAIR Data Point","abbreviation":"FDP","url":"https://fairsharing.org/fairsharing_records/298","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FAIRDataPoint is a REST api for creating, storing and servering FAIR metadata. The metadata contents are in this api are generated semi-automatically according to the FAIR Data Point software specification document. In the current version of api we support GET, POST and PATCH requests.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"299","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T16:56:56.000Z","updated_at":"2022-07-20T12:06:19.137Z","metadata":{"doi":"10.25504/FAIRsharing.1dd23d","name":"Multiple Alignment using Fast Fourier Transform","status":"ready","contacts":[{"contact_name":"Kazutaka Katoh","contact_email":"katoh@ifrec.osaka-u.ac.jp","contact_orcid":"0000-0003-4133-8393"}],"homepage":"https://mafft.cbrc.jp/alignment/software/","identifier":299,"description":"MAFFT (Multiple Alignment using Fast Fourier Transform) is a high speed multiple sequence alignment program which implements the Fast Fourier Transform (FFT) to optimise protein alignments based on the physical properties of the amino acids. The program uses progressive alignment and iterative alignment. MAFFT is useful for hard-to-align sequences such as those containing large gaps (e.g., rRNA sequences containing variable loop regions).","abbreviation":"MAFFT","support_links":[{"url":"https://mafft.cbrc.jp/alignment/software/mailform.html","name":"Feedback","type":"Contact form"},{"url":"https://www.ebi.ac.uk/seqdb/confluence/display/JDSAT/MAFFT+Help+and+Documentation","name":"MAFFT Help and Documentation on EMBL-EBI","type":"Help documentation"}],"year_creation":2006,"associated_tools":[{"url":"https://mafft.cbrc.jp/alignment/server/index.html","name":"Multiple alignment program for amino acid or nucleotide sequences Version 7"}]},"legacy_ids":["bsg-001584","bsg-s001584"],"name":"FAIRsharing record for: Multiple Alignment using Fast Fourier Transform","abbreviation":"MAFFT","url":"https://fairsharing.org/10.25504/FAIRsharing.1dd23d","doi":"10.25504/FAIRsharing.1dd23d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MAFFT (Multiple Alignment using Fast Fourier Transform) is a high speed multiple sequence alignment program which implements the Fast Fourier Transform (FFT) to optimise protein alignments based on the physical properties of the amino acids. The program uses progressive alignment and iterative alignment. MAFFT is useful for hard-to-align sequences such as those containing large gaps (e.g., rRNA sequences containing variable loop regions).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12141}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science","Comparative Genomics"],"domains":["Multiple sequence alignment","Function analysis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":84,"pubmed_id":23329690,"title":"MAFFT multiple sequence alignment software version 7: improvements in performance and usability.","year":2013,"url":"http://doi.org/10.1093/molbev/mst010","authors":"Katoh K,Standley DM","journal":"Mol Biol Evol","doi":"10.1093/molbev/mst010","created_at":"2021-09-30T08:22:29.082Z","updated_at":"2021-09-30T08:22:29.082Z"}],"licence_links":[{"licence_name":"MAFFT Licence","licence_id":499,"licence_url":"https://mafft.cbrc.jp/alignment/software/license.txt","link_id":1898,"relation":"undefined"}],"grants":[{"id":5451,"fairsharing_record_id":299,"organisation_id":581,"relation":"maintains","created_at":"2021-09-30T09:27:27.917Z","updated_at":"2021-09-30T09:27:27.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":581,"name":"Computational Biology Research Center, The National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"300","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T09:02:37.648Z","metadata":{"doi":"10.25504/FAIRsharing.8sz2fa","name":"TDWG Specimen LSID Ontology","status":"deprecated","contacts":[{"contact_name":"Kim Durante","contact_email":"kimberlydurante@gmail.com"}],"homepage":"https://github.com/tdwg/ontology","citations":[],"identifier":300,"description":"The TDWG Specimen LSID Ontology was designed to represent records of specimens, and contain information specific to the specimen. Biodiversity Information Standards (TDWG) is an international not-for-profit group that develops standards and protocols for sharing biodiversity data. They have a detailed collection of vocabularies and ontologies for studies of biological organisms.","abbreviation":"TDWGSPEC","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TDWGSPEC","name":"TDWGSPEC","portal":"BioPortal"}],"deprecation_date":"2022-07-15","deprecation_reason":"This ontology has been deprecated by the TDWG."},"legacy_ids":["bsg-000985","bsg-s000985"],"name":"FAIRsharing record for: TDWG Specimen LSID Ontology","abbreviation":"TDWGSPEC","url":"https://fairsharing.org/10.25504/FAIRsharing.8sz2fa","doi":"10.25504/FAIRsharing.8sz2fa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TDWG Specimen LSID Ontology was designed to represent records of specimens, and contain information specific to the specimen. Biodiversity Information Standards (TDWG) is an international not-for-profit group that develops standards and protocols for sharing biodiversity data. They have a detailed collection of vocabularies and ontologies for studies of biological organisms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12119}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Biodiversity"],"domains":["Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"307","type":"fairsharing_records","attributes":{"created_at":"2015-12-22T17:23:29.000Z","updated_at":"2023-07-11T09:46:17.300Z","metadata":{"doi":"10.25504/FAIRsharing.rd1j6t","name":"Brain Imaging Data Structure","status":"ready","contacts":[{"contact_name":"Chris Gorgolewski","contact_email":"krzysztof.gorgolewski@gmail.com","contact_orcid":"0000-0003-3321-7583"}],"homepage":"http://bids.neuroimaging.io","citations":[{"doi":"10.1038/sdata.2016.44","pubmed_id":27326542,"publication_id":2425}],"identifier":307,"description":"BIDS is a simple, easy to use standard for organizing and describing outputs of neuroimaging experiments.","abbreviation":"BIDS","support_links":[{"url":"https://groups.google.com/forum/#!forum/bids-discussion","name":"BIDS Discussion Forum","type":"Forum"},{"url":"https://neurostars.org/","name":"Neurostars Forum","type":"Forum"},{"url":"https://bids-specification.readthedocs.io/en/stable/","name":"BIDS Specification Documentation","type":"Help documentation"},{"url":"https://github.com/bids-standard/bids-specification/","name":"BIDS specification","type":"Github"},{"url":"https://twitter.com/BIDSstandard/","name":"@BIDSstandard","type":"Twitter"}],"year_creation":2015,"associated_tools":[{"url":"https://github.com/bids-standard/bids-validator","name":"BIDS Validator"},{"url":"https://github.com/bids-standard/BIDS2ISATab","name":"BIDS2ISATab"},{"url":"https://github.com/bids-standard/openfmri2bids","name":"openfmri2bids"},{"url":"https://github.com/bids-standard/bidsutils/tree/master/BIDSto3col","name":"BIDSto3col"},{"url":"https://github.com/aces/EEG2BIDS","name":"EEG2BIDS"},{"url":"https://github.com/Donders-Institute/bidscoin","name":"BIDScoin"},{"url":"https://github.com/rordenlab/dcm2niix","name":"dcm2niix"}]},"legacy_ids":["bsg-000634","bsg-s000634"],"name":"FAIRsharing record for: Brain Imaging Data Structure","abbreviation":"BIDS","url":"https://fairsharing.org/10.25504/FAIRsharing.rd1j6t","doi":"10.25504/FAIRsharing.rd1j6t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BIDS is a simple, easy to use standard for organizing and describing outputs of neuroimaging experiments.","linked_records":[],"linking_records":[{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12386},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16896}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Cognitive Neuroscience"],"domains":["Microscopy","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["Canada","France","Germany","Sweden","United Kingdom","United States"],"publications":[{"id":793,"pubmed_id":null,"title":"EEG-BIDS, an extension to the brain imaging data structure for electroencephalography","year":2019,"url":"https://doi.org/10.1038/s41597-019-0104-8","authors":"Cyril R. Pernet, Stefan Appelhoff, Krzysztof J. Gorgolewski, Guillaume Flandin, Christophe Phillips, Arnaud Delorme \u0026 Robert Oostenveld","journal":"Scientific Datavolume","doi":"10.1038/s41597-019-0104-8","created_at":"2021-09-30T08:23:47.403Z","updated_at":"2021-09-30T08:23:47.403Z"},{"id":2087,"pubmed_id":null,"title":"iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology","year":2019,"url":"https://doi.org/10.1038/s41597-019-0105-7","authors":"Christopher Holdgraf, Stefan Appelhoff, Stephan Bickel, Kristofer Bouchard, Sasha D’Ambrosio, Olivier David, Orrin Devinsky, Benjamin Dichter, Adeen Flinker, Brett L. Foster, Krzysztof J. Gorgolewski, Iris Groen, David Groppe, Aysegul Gunduz, Liberty Hamilton, Christopher J. Honey, Mainak Jas, Robert Knight, Jean-Philippe Lachaux, Jonathan C. Lau, Christopher Lee-Messer, Brian N. Lundstrom, Kai J. Miller, Jeffrey G. Ojemann, Robert Oostenveld, Natalia Petridou, Gio Piantoni, Andrea Pigorini, Nader Pouratian, Nick F. Ramsey, Arjen Stolk, Nicole C. Swann, François Tadel, Bradley Voytek, Brian A. Wandell, Jonathan Winawer, Kirstie Whitaker, Lyuba Zehl \u0026 Dora Hermes","journal":"Scientific Data","doi":"10.1038/s41597-019-0105-7","created_at":"2021-09-30T08:26:15.256Z","updated_at":"2021-09-30T08:26:15.256Z"},{"id":2326,"pubmed_id":28278228,"title":"BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.","year":2017,"url":"http://doi.org/10.1371/journal.pcbi.1005209","authors":"Gorgolewski KJ,Alfaro-Almagro F,Auer T,Bellec P,Capota M,Chakravarty MM,Churchill NW,Cohen AL,Craddock RC,Devenyi GA,Eklund A,Esteban O,Flandin G,Ghosh SS,Guntupalli JS,Jenkinson M,Keshavan A,Kiar G,Liem F,Raamana PR,Raffelt D,Steele CJ,Quirion PO,Smith RE,Strother SC,Varoquaux G,Wang Y,Yarkoni T,Poldrack RA","journal":"PLoS Comput Biol","doi":"10.1371/journal.pcbi.1005209","created_at":"2021-09-30T08:26:45.560Z","updated_at":"2021-09-30T08:26:45.560Z"},{"id":2425,"pubmed_id":27326542,"title":"The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.44","authors":"Gorgolewski KJ,Auer T,Calhoun VD,Craddock RC,Das S,Duff EP,Flandin G,Ghosh SS,Glatard T,Halchenko YO,Handwerker DA,Hanke M,Keator D,Li X,Michael Z,Maumet C,Nichols BN,Nichols TE,Pellman J,Poline JB,Rokem A,Schaefer G,Sochat V,Triplett W,Turner JA,Varoquaux G,Poldrack RA","journal":"Sci Data","doi":"10.1038/sdata.2016.44","created_at":"2021-09-30T08:26:57.597Z","updated_at":"2021-09-30T08:26:57.597Z"},{"id":2429,"pubmed_id":29917016,"title":"MEG-BIDS, the brain imaging data structure extended to magnetoencephalography.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.110","authors":"Niso G,Gorgolewski KJ,Bock E,Brooks TL,Flandin G,Gramfort A,Henson RN,Jas M,Litvak V,T Moreau J,Oostenveld R,Schoffelen JM,Tadel F,Wexler J,Baillet S","journal":"Sci Data","doi":"10.1038/sdata.2018.110","created_at":"2021-09-30T08:26:58.061Z","updated_at":"2021-09-30T08:26:58.061Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2865,"relation":"applies_to_content"}],"grants":[{"id":9901,"fairsharing_record_id":307,"organisation_id":3703,"relation":"maintains","created_at":"2022-09-21T10:28:19.647Z","updated_at":"2022-09-21T10:28:19.647Z","grant_id":null,"is_lead":true,"saved_state":{"id":3703,"name":"BIDS Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9903,"fairsharing_record_id":307,"organisation_id":2071,"relation":"funds","created_at":"2022-09-21T10:28:19.687Z","updated_at":"2022-09-21T10:28:19.687Z","grant_id":1897,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"OAC-1760950","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9902,"fairsharing_record_id":307,"organisation_id":2022,"relation":"funds","created_at":"2022-09-21T10:28:19.648Z","updated_at":"2022-09-21T10:28:19.648Z","grant_id":1901,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health","grant":"R24MH114705","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9904,"fairsharing_record_id":307,"organisation_id":1321,"relation":"funds","created_at":"2022-09-21T10:28:19.690Z","updated_at":"2022-09-21T10:28:19.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":9905,"fairsharing_record_id":307,"organisation_id":1689,"relation":"funds","created_at":"2022-09-21T10:28:19.777Z","updated_at":"2022-09-21T10:28:19.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":1689,"name":"Laura and John Arnold Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcU1CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d527d7827343dce1b23ad71809612cea4ae9fb69/800px-BIDS_Logo.png?disposition=inline","exhaustive_licences":false}},{"id":"308","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T17:35:44.000Z","updated_at":"2022-04-11T12:07:19.935Z","metadata":{"doi":"10.25504/FAIRsharing.e729c4","name":"RNA Markup Language","status":"ready","contacts":[{"contact_name":"François Major","contact_email":"major@iro.umontreal.ca","contact_orcid":"0000-0003-1743-0480"}],"homepage":"http://www-lbit.iro.umontreal.ca/rnaml/","identifier":308,"description":"RNAML syntax was designed to facilitate the interoperation of multiple RNA informatics programs and to exchange basic RNA molecular information.","abbreviation":"RNAML","year_creation":2002},"legacy_ids":["bsg-001585","bsg-s001585"],"name":"FAIRsharing record for: RNA Markup Language","abbreviation":"RNAML","url":"https://fairsharing.org/10.25504/FAIRsharing.e729c4","doi":"10.25504/FAIRsharing.e729c4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAML syntax was designed to facilitate the interoperation of multiple RNA informatics programs and to exchange basic RNA molecular information.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12134}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","France","United States"],"publications":[{"id":109,"pubmed_id":12088144,"title":"RNAML: a standard syntax for exchanging RNA information.","year":2002,"url":"http://doi.org/10.1017/s1355838202028017","authors":"Waugh A,Gendron P,Altman R,Brown JW,Case D,Gautheret D,Harvey SC,Leontis N,Westbrook J,Westhof E,Zuker M,Major F","journal":"RNA","doi":"10.1017/s1355838202028017","created_at":"2021-09-30T08:22:32.089Z","updated_at":"2021-09-30T08:22:32.089Z"}],"licence_links":[],"grants":[{"id":5459,"fairsharing_record_id":308,"organisation_id":3102,"relation":"maintains","created_at":"2021-09-30T09:27:28.233Z","updated_at":"2021-09-30T09:27:28.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":3102,"name":"University of Montreal, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5460,"fairsharing_record_id":308,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:28.265Z","updated_at":"2021-09-30T09:32:35.187Z","grant_id":1686,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"LM06244","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5458,"fairsharing_record_id":308,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:28.196Z","updated_at":"2021-09-30T09:31:47.668Z","grant_id":1329,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-9600637","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9180,"fairsharing_record_id":308,"organisation_id":359,"relation":"funds","created_at":"2022-04-11T12:07:19.925Z","updated_at":"2022-04-11T12:07:19.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"310","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:12:08.000Z","updated_at":"2022-12-14T08:23:07.294Z","metadata":{"doi":"10.25504/FAIRsharing.W6zGvD","name":"Universal Worker Service Pattern","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://ivoa.net/documents/UWS/index.html","citations":[{"publication_id":2953}],"identifier":310,"description":"The Universal Worker Service (UWS) pattern defines how to manage asynchronous execution of jobs on a service. Any application of the pattern defines a family of related services with a common service contract. Possible uses of the pattern are also described.","abbreviation":"UWS","support_links":[{"url":"http://ivoa.net/documents/UWS/20161024/REC-UWS-1.1-20161024.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/AsynchronousHome","name":"UWS Wiki","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001193","bsg-s001193"],"name":"FAIRsharing record for: Universal Worker Service Pattern","abbreviation":"UWS","url":"https://fairsharing.org/10.25504/FAIRsharing.W6zGvD","doi":"10.25504/FAIRsharing.W6zGvD","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Universal Worker Service (UWS) pattern defines how to manage asynchronous execution of jobs on a service. Any application of the pattern defines a family of related services with a common service contract. Possible uses of the pattern are also described.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11455}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2953,"pubmed_id":null,"title":"Universal Worker Service Pattern Version 1.1","year":2016,"url":"http://dx.doi.org/10.5479/ADS/bib/2016ivoa.spec.1024H","authors":"Harrison, P. A.; Rixon, G.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.933Z","updated_at":"2021-09-30T08:28:03.933Z"}],"licence_links":[],"grants":[{"id":5462,"fairsharing_record_id":310,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:27:28.314Z","updated_at":"2021-09-30T09:27:28.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5461,"fairsharing_record_id":310,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:28.289Z","updated_at":"2021-09-30T09:27:28.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"311","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-20T09:06:25.371Z","metadata":{"doi":"10.25504/FAIRsharing.rbpqg","name":"PGxO","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"adrien.coulet@loria.fr"}],"homepage":"https://pgxo.loria.fr","citations":[],"identifier":311,"description":"PGxO is a lightweight and simple Pharmacogenomic Ontology to reconcile and trace knowledge in pharmacogenomics (PGx).","abbreviation":"PGXO","support_links":[{"url":"https://github.com/practikpharma/PGxO","name":"PGxO GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PGXO","name":"PGXO","portal":"BioPortal"}]},"legacy_ids":["bsg-000989","bsg-s000989"],"name":"FAIRsharing record for: PGxO","abbreviation":"PGXO","url":"https://fairsharing.org/10.25504/FAIRsharing.rbpqg","doi":"10.25504/FAIRsharing.rbpqg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PGxO is a lightweight and simple Pharmacogenomic Ontology to reconcile and trace knowledge in pharmacogenomics (PGx).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacogenomics"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3478,"pubmed_id":null,"title":"PGxO and PGxLOD: a reconciliation of pharmacogenomic knowledge of various provenances, enabling further comparison","year":2019,"url":"http://dx.doi.org/10.1186/s12859-019-2693-9","authors":"Monnin, Pierre; Legrand, Joël; Husson, Graziella; Ringot, Patrice; Tchechmedjiev, Andon; Jonquet, Clément; Napoli, Amedeo; Coulet, Adrien; ","journal":"BMC Bioinformatics","doi":"10.1186/s12859-019-2693-9","created_at":"2022-07-15T21:45:20.014Z","updated_at":"2022-07-15T21:45:20.014Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2732,"relation":"applies_to_content"}],"grants":[{"id":9680,"fairsharing_record_id":311,"organisation_id":2981,"relation":"maintains","created_at":"2022-07-15T21:46:36.536Z","updated_at":"2022-07-15T21:46:36.536Z","grant_id":null,"is_lead":true,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"312","type":"fairsharing_records","attributes":{"created_at":"2018-07-26T10:13:47.000Z","updated_at":"2024-05-21T08:20:13.211Z","metadata":{"name":"Blood Ontology","status":"deprecated","contacts":[{"contact_name":"BLO consortium","contact_email":"mba@eci.ufmg.br"}],"homepage":"https://mba.eci.ufmg.br/BLO/","citations":[],"identifier":312,"description":"The Blood Ontology is a set of co-related ontologies being created to gather and represent data about blood according to well-founded ontological principles.","abbreviation":"BLO","year_creation":2011,"deprecation_date":"2024-05-21","deprecation_reason":"Although this resource has a homepage, it has no released ontology file and does not seem active. Please get in touch with us if you have more information about this resource."},"legacy_ids":["bsg-001229","bsg-s001229"],"name":"FAIRsharing record for: Blood Ontology","abbreviation":"BLO","url":"https://fairsharing.org/fairsharing_records/312","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Blood Ontology is a set of co-related ontologies being created to gather and represent data about blood according to well-founded ontological principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Blood"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Brazil"],"publications":[],"licence_links":[],"grants":[{"id":5463,"fairsharing_record_id":312,"organisation_id":1776,"relation":"maintains","created_at":"2021-09-30T09:27:28.340Z","updated_at":"2024-05-21T08:19:02.844Z","grant_id":null,"is_lead":true,"saved_state":{"id":1776,"name":"Mauricio B. Almeida lab, Federal University of Minas Gerais","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":11772,"fairsharing_record_id":312,"organisation_id":3025,"relation":"collaborates_on","created_at":"2024-05-10T08:43:16.035Z","updated_at":"2024-05-10T08:43:16.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"313","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:09.403Z","metadata":{"doi":"10.25504/FAIRsharing.ypfgeq","name":"Translational Medicine Ontology","status":"ready","contacts":[{"contact_email":"tmo-administration@googlegroups.com"}],"homepage":"https://www.w3.org/wiki/HCLSIG/PharmaOntology/Ontology","identifier":313,"description":"This project focuses on the development of a high level patient-centric ontology for the pharmaceutical industry. The ontology should enable silos in discovery research, hypothesis management, experimental studies, compounds, formulation, drug development, market size, competitive data, population data, etc. to be brought together. This would enable scientists to answer new questions, and to answer existing scientific questions more quickly. This will help pharmaceutical companies to model patient-centric information, which is essential for the tailoring of drugs, and for early detection of compounds that may have sub-optimal safety profiles. The ontology should link to existing publicly available domain ontologies.","abbreviation":"TMO","support_links":[{"url":"https://code.google.com/archive/p/translationalmedicineontology/","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TMO","name":"TMO","portal":"BioPortal"}]},"legacy_ids":["bsg-002660","bsg-s002660"],"name":"FAIRsharing record for: Translational Medicine Ontology","abbreviation":"TMO","url":"https://fairsharing.org/10.25504/FAIRsharing.ypfgeq","doi":"10.25504/FAIRsharing.ypfgeq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This project focuses on the development of a high level patient-centric ontology for the pharmaceutical industry. The ontology should enable silos in discovery research, hypothesis management, experimental studies, compounds, formulation, drug development, market size, competitive data, population data, etc. to be brought together. This would enable scientists to answer new questions, and to answer existing scientific questions more quickly. This will help pharmaceutical companies to model patient-centric information, which is essential for the tailoring of drugs, and for early detection of compounds that may have sub-optimal safety profiles. The ontology should link to existing publicly available domain ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12461}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Drug Development","Biomedical Science","Translational Medicine"],"domains":["Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Germany","Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":514,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":515,"relation":"undefined"}],"grants":[{"id":5465,"fairsharing_record_id":313,"organisation_id":2860,"relation":"maintains","created_at":"2021-09-30T09:27:28.390Z","updated_at":"2021-09-30T09:27:28.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":2860,"name":"TMO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5464,"fairsharing_record_id":313,"organisation_id":3207,"relation":"maintains","created_at":"2021-09-30T09:27:28.364Z","updated_at":"2021-09-30T09:27:28.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":3207,"name":"W3C Semantic Web for Health Care and Life Sciences Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5466,"fairsharing_record_id":313,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:27:28.414Z","updated_at":"2021-09-30T09:27:28.414Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"322","type":"fairsharing_records","attributes":{"created_at":"2018-10-22T21:56:18.000Z","updated_at":"2022-07-29T15:01:32.115Z","metadata":{"doi":"10.25504/FAIRsharing.123197","name":"OpenAIRE Guidelines for Data Archives","status":"ready","homepage":"https://guidelines.openaire.eu/en/latest/data/index.html","citations":[],"identifier":322,"description":"The OpenAIRE Guidelines for Data Archive provides instruction for data archive managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. The metadata from data archives should be included in the OpenAIRE information space, and exposed when data are related to an open access publication e.g. a dataset cited by an article.","abbreviation":null,"support_links":[{"url":"https://zenodo.org/record/6918#.XfjahjJKhQJ","name":"OpenAIRE Guidelines for Data Archive Managers v1.0","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001332","bsg-s001332"],"name":"FAIRsharing record for: OpenAIRE Guidelines for Data Archives","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.123197","doi":"10.25504/FAIRsharing.123197","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OpenAIRE Guidelines for Data Archive provides instruction for data archive managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. The metadata from data archives should be included in the OpenAIRE information space, and exposed when data are related to an open access publication e.g. a dataset cited by an article.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12949},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13346},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13368},{"linking_record_name":"Mapping CDC to OpenAIRE, B2find, schema.org and Dublin Core","linking_record_id":3646,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13371}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Resource metadata","Publication","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":974,"relation":"undefined"}],"grants":[{"id":9711,"fairsharing_record_id":322,"organisation_id":2252,"relation":"maintains","created_at":"2022-07-29T13:02:15.621Z","updated_at":"2022-07-29T13:02:15.621Z","grant_id":null,"is_lead":true,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5482,"fairsharing_record_id":322,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:28.829Z","updated_at":"2021-09-30T09:27:28.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"323","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:28:57.284Z","metadata":{"doi":"10.25504/FAIRsharing.9c2azc","name":"OBO ReLationship","status":"deprecated","contacts":[{"contact_email":"cjmungall@lbl.gov"}],"homepage":"http://purl.bioontology.org/ontology/OBO_REL","citations":[],"identifier":323,"description":"This record describes the original relations ontology (ID space \"OBO_REL\"), which was a direct translation of the 2005 RO paper into OBO format. It suffered a number of problems, such as lack of clarity in the semantics of class level relations. The OBO Relations Ontology (RO) has replaced this resource, and a description of how the two resources differ can be found at https://github.com/oborel/obo-relations/wiki/DifferencesWithOldRO.","abbreviation":"OBO_REL","support_links":[{"url":"https://github.com/oborel/obo-relations/","type":"Github"}],"year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBOREL","name":"OBOREL","portal":"BioPortal"}],"deprecation_date":"2016-03-22","deprecation_reason":"This resource is obsolete and has been replaced by the OBO Relations Ontology (https://biosharing.org/bsg-000644)."},"legacy_ids":["bsg-000144","bsg-s000144"],"name":"FAIRsharing record for: OBO ReLationship","abbreviation":"OBO_REL","url":"https://fairsharing.org/10.25504/FAIRsharing.9c2azc","doi":"10.25504/FAIRsharing.9c2azc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This record describes the original relations ontology (ID space \"OBO_REL\"), which was a direct translation of the 2005 RO paper into OBO format. It suffered a number of problems, such as lack of clarity in the semantics of class level relations. The OBO Relations Ontology (RO) has replaced this resource, and a description of how the two resources differ can be found at https://github.com/oborel/obo-relations/wiki/DifferencesWithOldRO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Relations"],"countries":["United States"],"publications":[{"id":979,"pubmed_id":15892874,"title":"Relations in biomedical ontologies.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r46","authors":"Smith B,Ceusters W,Klagges B,Kohler J,Kumar A,Lomax J,Mungall C,Neuhaus F,Rector AL,Rosse C","journal":"Genome Biol","doi":"10.1186/gb-2005-6-5-r46","created_at":"2021-09-30T08:24:08.346Z","updated_at":"2021-09-30T08:24:08.346Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"324","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T08:55:01.211Z","metadata":{"doi":"10.25504/FAIRsharing.9d08ks","name":"NeuroMorpho.Org brain region ontologies","status":"ready","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/NMOBR","citations":[],"identifier":324,"description":"The NeuroMorpho.Org brain region ontologies adopts and integrates relevant portions of available taxonomies (or lineages) \"as needed\" based on the existing knowledge that is openly accessible. For standardization purposes, cell types and other experimental metadata hierarchies are also added to OntoSearch v2.0. Concepts with insufficient knowledge are not classified as hierarchies, such as molecular, firing, and \"other\" unclassifiable properties of cell types. The species, brain regions and cell types are integrated into a single ontology for enabling OntoSearch functionality to mine NeuroMorpho.Org.","abbreviation":"NMOBR","support_links":[{"url":"https://neuromorpho.org/myfaq.jsp?id=qb15#QS2","name":"General Information about the ontology and OntoSearch","type":"Help documentation"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NMOBR","name":"NMOBR","portal":"BioPortal"}]},"legacy_ids":["bsg-000879","bsg-s000879"],"name":"FAIRsharing record for: NeuroMorpho.Org brain region ontologies","abbreviation":"NMOBR","url":"https://fairsharing.org/10.25504/FAIRsharing.9d08ks","doi":"10.25504/FAIRsharing.9d08ks","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NeuroMorpho.Org brain region ontologies adopts and integrates relevant portions of available taxonomies (or lineages) \"as needed\" based on the existing knowledge that is openly accessible. For standardization purposes, cell types and other experimental metadata hierarchies are also added to OntoSearch v2.0. Concepts with insufficient knowledge are not classified as hierarchies, such as molecular, firing, and \"other\" unclassifiable properties of cell types. The species, brain regions and cell types are integrated into a single ontology for enabling OntoSearch functionality to mine NeuroMorpho.Org.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Neuroscience","Neuroscience"],"domains":[],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NeuroMorpho Terms of Use","licence_id":572,"licence_url":"http://neuromorpho.org/useterm.jsp","link_id":2736,"relation":"applies_to_content"}],"grants":[{"id":9682,"fairsharing_record_id":324,"organisation_id":1648,"relation":"maintains","created_at":"2022-07-20T07:22:23.375Z","updated_at":"2022-07-20T07:22:23.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":1648,"name":"Krasnow Institute for Advanced Study, Fairfax, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9684,"fairsharing_record_id":324,"organisation_id":2045,"relation":"funds","created_at":"2022-07-20T07:22:23.420Z","updated_at":"2022-07-20T07:22:23.420Z","grant_id":543,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"R01 NS39600","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9686,"fairsharing_record_id":324,"organisation_id":2229,"relation":"funds","created_at":"2022-07-20T07:22:23.460Z","updated_at":"2022-07-20T07:22:23.460Z","grant_id":254,"is_lead":false,"saved_state":{"id":2229,"name":"Office of Naval Research","grant":"ONR MURI N00014-10-1-0198","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9689,"fairsharing_record_id":324,"organisation_id":2806,"relation":"funds","created_at":"2022-07-20T07:22:23.500Z","updated_at":"2022-07-20T07:22:23.500Z","grant_id":955,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","grant":"Keck NAKFI","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9683,"fairsharing_record_id":324,"organisation_id":1128,"relation":"maintains","created_at":"2022-07-20T07:22:23.383Z","updated_at":"2022-07-20T07:22:23.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":1128,"name":"George Mason University, Fairfax, VA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9685,"fairsharing_record_id":324,"organisation_id":2045,"relation":"funds","created_at":"2022-07-20T07:22:23.424Z","updated_at":"2022-07-20T07:22:23.424Z","grant_id":1486,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"R01 NS086082","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9688,"fairsharing_record_id":324,"organisation_id":2806,"relation":"maintains","created_at":"2022-07-20T07:22:23.469Z","updated_at":"2022-07-20T07:22:23.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9687,"fairsharing_record_id":324,"organisation_id":2071,"relation":"funds","created_at":"2022-07-20T07:22:23.466Z","updated_at":"2022-07-20T07:22:23.466Z","grant_id":1738,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"NSF DBI 1546335 (BRAIN EAGER)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"325","type":"fairsharing_records","attributes":{"created_at":"2017-07-26T14:01:57.000Z","updated_at":"2024-05-20T08:31:41.911Z","metadata":{"doi":"10.25504/FAIRsharing.w4g3sj","name":"Space Physics Archive Search and Extract Data Model","status":"ready","contacts":[{"contact_name":"Metadata Working Group Contact","contact_email":"vxo-spase-smwg@googlegroups.com"}],"homepage":"http://www.spase-group.org/data/","identifier":325,"description":"An exclusive set of resource types which can be used to describe all the resources in a heliophysics data environment, the data along with its scientific context, source, provenance, content and location. It is designed to support a federated data system where data may reside at different locations and may be seperated from the metadata which describes it. While the data model is neutral on how to it may be expressed, the preferred expression form is XML","abbreviation":"SPASE Data Model","support_links":[{"url":"spase@listserv.gsfc.nasa.gov","name":"Mailing list","type":"Mailing list"},{"url":"http://www.spase-group.org/school/","name":"SPASE Tutorials","type":"Training documentation"},{"url":"https://twitter.com/SPASEOutreach","name":"Twitter","type":"Twitter"}],"year_creation":2005},"legacy_ids":["bsg-000714","bsg-s000714"],"name":"FAIRsharing record for: Space Physics Archive Search and Extract Data Model","abbreviation":"SPASE Data Model","url":"https://fairsharing.org/10.25504/FAIRsharing.w4g3sj","doi":"10.25504/FAIRsharing.w4g3sj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An exclusive set of resource types which can be used to describe all the resources in a heliophysics data environment, the data along with its scientific context, source, provenance, content and location. It is designed to support a federated data system where data may reside at different locations and may be seperated from the metadata which describes it. While the data model is neutral on how to it may be expressed, the preferred expression form is XML","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13320},{"linking_record_name":"International Heliophysics Data Environment Alliance","linking_record_id":5484,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19836}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Resource metadata","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5484,"fairsharing_record_id":325,"organisation_id":2606,"relation":"maintains","created_at":"2021-09-30T09:27:28.909Z","updated_at":"2021-09-30T09:27:28.909Z","grant_id":null,"is_lead":true,"saved_state":{"id":2606,"name":"Space Physics Archive Search and Extract (SPASE) Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"328","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:12:26.000Z","updated_at":"2024-03-21T16:13:44.220Z","metadata":{"doi":"10.25504/FAIRsharing.2Rk97G","name":"IDG Peptide Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":328,"description":"Peptide probe reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001226","bsg-s001226"],"name":"FAIRsharing record for: IDG Peptide Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2Rk97G","doi":"10.25504/FAIRsharing.2Rk97G","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Peptide probe reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11701}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11560,"fairsharing_record_id":328,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.015Z","updated_at":"2024-03-21T13:58:57.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11617,"fairsharing_record_id":328,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:10:06.662Z","updated_at":"2024-03-21T16:10:06.662Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZzhFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--81d6af631121313baed3ddac143f1846c72b8739/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"301","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:08.248Z","metadata":{"doi":"10.25504/FAIRsharing.21d998","name":"European Data Format","status":"ready","contacts":[{"contact_name":"Diego Alvarez-Estevez","contact_email":"diego.alvareze@udc.es"}],"homepage":"http://www.edfplus.info/specs/edf.html","identifier":301,"description":"The European Data Format (EDF) is a simple and flexible format for exchange and storage of multichannel biological and physical signals. More information http://www.edfplus.info","abbreviation":"EDF","support_links":[{"url":"http://www.edfplus.info/specs/edffaq.html","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1991,"associated_tools":[{"url":"http://www.edfplus.info/downloads/index.html","name":"Polyman"}]},"legacy_ids":["bsg-000528","bsg-s000528"],"name":"FAIRsharing record for: European Data Format","abbreviation":"EDF","url":"https://fairsharing.org/10.25504/FAIRsharing.21d998","doi":"10.25504/FAIRsharing.21d998","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Data Format (EDF) is a simple and flexible format for exchange and storage of multichannel biological and physical signals. More information http://www.edfplus.info","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16946}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology","Life Science","Electrophysiology"],"domains":["Polysomnography"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":254,"pubmed_id":1374708,"title":"A simple format for exchange of digitized polygraphic recordings.","year":1992,"url":"http://doi.org/10.1016/0013-4694(92)90009-7","authors":"Kemp B, Värri A, Rosa AC, Nielsen KD, Gade J.","journal":"Electroencephalogr Clin Neurophysiol.","doi":"10.1016/0013-4694(92)90009-7","created_at":"2021-09-30T08:22:47.440Z","updated_at":"2021-09-30T08:22:47.440Z"},{"id":1379,"pubmed_id":12948806,"title":"European data format 'plus' (EDF+), an EDF alike standard format for the exchange of physiological data.","year":2003,"url":"http://doi.org/10.1016/s1388-2457(03)00123-8","authors":"Kemp B,Olivan J","journal":"Clin Neurophysiol","doi":"10.1016/s1388-2457(03)00123-8","created_at":"2021-09-30T08:24:54.226Z","updated_at":"2021-09-30T08:24:54.226Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"302","type":"fairsharing_records","attributes":{"created_at":"2018-11-09T15:50:55.000Z","updated_at":"2021-11-24T13:18:33.108Z","metadata":{"doi":"10.25504/FAIRsharing.ZFdYEf","name":"biotracks","status":"ready","contacts":[{"contact_name":"Alejandra Gonzalez-Beltran","contact_email":"alejandra.gonzalez.beltran@gmail.com","contact_orcid":"0000-0003-3499-8262"}],"homepage":"https://github.com/CellMigStandOrg/biotracks","identifier":302,"description":"Biotracks provides a standard format for cell migration tracking files and a series of converters from popular tracking sofware packages to the biotracks format, which is a specialization of the Frictionless Tabular Data Package .","abbreviation":"biotracks","year_creation":2017},"legacy_ids":["bsg-001335","bsg-s001335"],"name":"FAIRsharing record for: biotracks","abbreviation":"biotracks","url":"https://fairsharing.org/10.25504/FAIRsharing.ZFdYEf","doi":"10.25504/FAIRsharing.ZFdYEf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biotracks provides a standard format for cell migration tracking files and a series of converters from popular tracking sofware packages to the biotracks format, which is a specialization of the Frictionless Tabular Data Package .","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10889}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Cell migration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5452,"fairsharing_record_id":302,"organisation_id":396,"relation":"maintains","created_at":"2021-09-30T09:27:27.953Z","updated_at":"2021-09-30T09:27:27.953Z","grant_id":null,"is_lead":true,"saved_state":{"id":396,"name":"Cell Migration Standardisation Organisation (CMSO) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"303","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T09:01:24.460Z","metadata":{"doi":"10.25504/FAIRsharing.r41qhx","name":"Unified phenotype ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"},{"contact_name":"Nicole Vasilevsky","contact_email":"vasilevs@ohsu.edu","contact_orcid":null}],"homepage":"https://github.com/obophenotype/upheno","citations":[],"identifier":303,"description":"The uPheno ontology integrates multiple phenotype ontologies into a unified cross-species phenotype ontology. Version 2 is the active release of the ontology, while version 1 should be considered deprecated. ","abbreviation":"UPHENO","support_links":[],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UPHENO","name":"UPHENO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/upheno","name":"uPheno (OLS)","portal":"OLS"},{"url":"https://obofoundry.org/ontology/upheno.html","name":"uPheno (OBO Foundry)","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000984","bsg-s000984"],"name":"FAIRsharing record for: Unified phenotype ontology","abbreviation":"UPHENO","url":"https://fairsharing.org/10.25504/FAIRsharing.r41qhx","doi":"10.25504/FAIRsharing.r41qhx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The uPheno ontology integrates multiple phenotype ontologies into a unified cross-species phenotype ontology. Version 2 is the active release of the ontology, while version 1 should be considered deprecated. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Evolutionary Biology","Phenomics"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2730,"relation":"applies_to_content"}],"grants":[{"id":9676,"fairsharing_record_id":303,"organisation_id":3596,"relation":"maintains","created_at":"2022-07-15T14:02:27.006Z","updated_at":"2022-07-15T14:02:27.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":3596,"name":"Translational and Integrative Science Lab (TIS Lab), University of Colorado School of Medicine","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa01CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3f5258d2bcf30a7e127b5a9fe209b27e25e88883/up.png?disposition=inline","exhaustive_licences":false}},{"id":"304","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2021-11-24T13:17:00.202Z","metadata":{"doi":"10.25504/FAIRsharing.cakne1","name":"NIDM-Results","status":"ready","contacts":[{"contact_name":"NIDM development team","contact_email":"incf-nidash-nidm@googlegroups.com"}],"homepage":"http://nidm.nidash.org/specs/nidm-results.html","identifier":304,"description":"NIDM-Results is a data model that enable sharing neuroimaging results using a common descriptive standard across neuroimaging software. NIDM-Results focuses on mass-univariate studies and is mostly targeted at fMRI but is also suitable for anatomical MRI (with Voxel-Based Morphometry), and Positron Emission Tomography (PET). NIDM-Results packs provide a lightweight solution to share maps generated by neuroimaging studies along with their metadata. Export to NIDM-Results is natively implemented in SPM, NeuroVault and CBRAIN and a Python library is ready for integration in FSL. NeuroVault additionally can import NIDM-Results packs.","abbreviation":"NIDM-Results","support_links":[{"url":"info@incf.org","name":"INCF Contact","type":"Support email"},{"url":"camille.maumet@inria.fr","name":"Camille Maumet","type":"Support email"},{"url":"http://nidm.nidash.org/getting-started/","name":"Getting Started","type":"Help documentation"},{"url":"incf-nidash-nidm@googlegroups.com","name":"INCF NIDASH mailing list","type":"Mailing list"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIDM-RESULTS","name":"NIDM-RESULTS","portal":"BioPortal"}]},"legacy_ids":["bsg-000929","bsg-s000929"],"name":"FAIRsharing record for: NIDM-Results","abbreviation":"NIDM-Results","url":"https://fairsharing.org/10.25504/FAIRsharing.cakne1","doi":"10.25504/FAIRsharing.cakne1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIDM-Results is a data model that enable sharing neuroimaging results using a common descriptive standard across neuroimaging software. NIDM-Results focuses on mass-univariate studies and is mostly targeted at fMRI but is also suitable for anatomical MRI (with Voxel-Based Morphometry), and Positron Emission Tomography (PET). NIDM-Results packs provide a lightweight solution to share maps generated by neuroimaging studies along with their metadata. Export to NIDM-Results is natively implemented in SPM, NeuroVault and CBRAIN and a Python library is ready for integration in FSL. NeuroVault additionally can import NIDM-Results packs.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12525}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Computational Neuroscience","Neurology"],"domains":["Magnetic resonance imaging","Positron emission tomography","Functional magnetic resonance imaging","Brain","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2306,"relation":"undefined"}],"grants":[{"id":5453,"fairsharing_record_id":304,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:27:27.995Z","updated_at":"2021-09-30T09:27:27.995Z","grant_id":null,"is_lead":true,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"305","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-15T14:22:29.682Z","metadata":{"doi":"10.25504/FAIRsharing.7rmkwr","name":"Emergency care ontology","status":"deprecated","contacts":[{"contact_name":"Jean Charlet","contact_email":"Jean.Charlet@upmc.fr"}],"homepage":"https://bioportal.bioontology.org/ontologies/ONTOLURGENCES","citations":[],"identifier":305,"description":"OntolUrgences is a termino-ontological resource developed to index and retrieve information in electronic Emergency Medical Record.","abbreviation":"ONTOLURGENCES","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOLURGENCES","name":"ONTOLURGENCES","portal":"BioPortal"}],"deprecation_date":"2022-07-15","deprecation_reason":"This resource has not been updated since 2015, and no further information can be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000986","bsg-s000986"],"name":"FAIRsharing record for: Emergency care ontology","abbreviation":"ONTOLURGENCES","url":"https://fairsharing.org/10.25504/FAIRsharing.7rmkwr","doi":"10.25504/FAIRsharing.7rmkwr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntolUrgences is a termino-ontological resource developed to index and retrieve information in electronic Emergency Medical Record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3477,"pubmed_id":25160343,"title":"Describing localized diseases in medical ontology: an FMA-based algorithm.","year":2014,"url":"https://pubmed.ncbi.nlm.nih.gov/25160343","authors":"Charlet J, Mazuel L, Declerck G, Miroux P, Gayet P","journal":"Studies in health technology and informatics","doi":null,"created_at":"2022-07-15T14:15:15.250Z","updated_at":"2022-07-15T14:15:15.250Z"}],"licence_links":[],"grants":[{"id":9678,"fairsharing_record_id":305,"organisation_id":3598,"relation":"maintains","created_at":"2022-07-15T14:21:05.109Z","updated_at":"2022-07-15T14:21:05.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":3598,"name":"Assistance Publique - Hôpitaux de Paris","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"317","type":"fairsharing_records","attributes":{"created_at":"2021-05-24T17:19:41.000Z","updated_at":"2023-10-21T13:34:01.288Z","metadata":{"doi":"10.25504/FAIRsharing.f928f1","name":"Archival Resource Key Identifier","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@arks.org"}],"homepage":"https://arks.org/","citations":[],"identifier":317,"description":"Archival Resource Keys (ARKs) serve as persistent identifiers, or stable, trusted references for information objects. Among other things, they aim to be web addresses (URLs) that don’t return 404 Page Not Found errors. The ARK Alliance is an open global community supporting the ARK infrastructure on behalf of research and scholarship. End users, especially researchers, rely on ARKs for long term access to the global scientific and cultural record. Since 2001 some 8.2 billion ARKs have been created by over 1000 organizations — libraries, data centers, archives, museums, publishers, government agencies, and vendors. They identify anything digital, physical, or abstract. ARKs are open, mainstream, non-paywalled, decentralized persistent identifiers that can be created by an organization as soon as it is registered with a NAAN (Name Assigning Authority Number). Once registered, an ARK organization can create unlimited numbers of ARKs and publicize them via the n2t.net global resolver or via their own local resolver.","abbreviation":"ARK Identifier","support_links":[{"url":"https://arks.org/blog/","name":"News","type":"Blog/News"},{"url":"https://arks.org/contact-us/","name":"Contact Form","type":"Contact form"},{"url":"https://wiki.lyrasis.org/display/ARKs/ARK+Identifiers+FAQ","name":"ARK FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://arks.org/resources/","name":"Resources","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/ARKs/ARKs+in+the+Open+Project","name":"ARK Wiki Pages","type":"Help documentation"},{"url":"https://twitter.com/arks_org","name":"@arks_org","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Archival_Resource_Key","name":"ARK Wikipedia Entry","type":"Wikipedia"}],"year_creation":2001,"cross_references":[{"url":"https://bioregistry.io/registry/ark","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/ark","name":"Identifiers.org","portal":"Other"}],"regular_expression":"^(ark\\:)/*[0-9A-Za-z]+(?:/[\\w/.=*+@\\$-]*)?(?:\\?.*)?$"},"legacy_ids":["bsg-001608","bsg-s001608"],"name":"FAIRsharing record for: Archival Resource Key Identifier","abbreviation":"ARK Identifier","url":"https://fairsharing.org/10.25504/FAIRsharing.f928f1","doi":"10.25504/FAIRsharing.f928f1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Archival Resource Keys (ARKs) serve as persistent identifiers, or stable, trusted references for information objects. Among other things, they aim to be web addresses (URLs) that don’t return 404 Page Not Found errors. The ARK Alliance is an open global community supporting the ARK infrastructure on behalf of research and scholarship. End users, especially researchers, rely on ARKs for long term access to the global scientific and cultural record. Since 2001 some 8.2 billion ARKs have been created by over 1000 organizations — libraries, data centers, archives, museums, publishers, government agencies, and vendors. They identify anything digital, physical, or abstract. ARKs are open, mainstream, non-paywalled, decentralized persistent identifiers that can be created by an organization as soon as it is registered with a NAAN (Name Assigning Authority Number). Once registered, an ARK organization can create unlimited numbers of ARKs and publicize them via the n2t.net global resolver or via their own local resolver.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Data Management","Subject Agnostic"],"domains":["Data retrieval","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5474,"fairsharing_record_id":317,"organisation_id":2743,"relation":"maintains","created_at":"2021-09-30T09:27:28.614Z","updated_at":"2021-09-30T09:27:28.614Z","grant_id":null,"is_lead":true,"saved_state":{"id":2743,"name":"The ARK Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaThDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c69281eac0647c6b7a664f0932bee0d5fd27781d/gold_boat_arka.png?disposition=inline","exhaustive_licences":false}},{"id":"318","type":"fairsharing_records","attributes":{"created_at":"2017-05-08T22:06:31.000Z","updated_at":"2021-11-24T13:14:18.604Z","metadata":{"doi":"10.25504/FAIRsharing.v39er7","name":"Apollo XSD 4.0.1","status":"ready","contacts":[{"contact_name":"Michael Wagner","contact_email":"mmw1@pitt.edu","contact_orcid":"0000-0002-4437-7016"}],"homepage":"https://github.com/ApolloDev/apollo-xsd-and-types","identifier":318,"description":"This XML Schema Definition (XSD) contains types for representing infectious disease scenarios for simulation (with and without control measures); diverse kinds of information about epidemics including case count data, seroprevalence study results, infectious disease control measures, disease parameters and infection transmission parameters; and case series.","abbreviation":"Apollo XSD","year_creation":2017},"legacy_ids":["bsg-000701","bsg-s000701"],"name":"FAIRsharing record for: Apollo XSD 4.0.1","abbreviation":"Apollo XSD","url":"https://fairsharing.org/10.25504/FAIRsharing.v39er7","doi":"10.25504/FAIRsharing.v39er7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This XML Schema Definition (XSD) contains types for representing infectious disease scenarios for simulation (with and without control measures); diverse kinds of information about epidemics including case count data, seroprevalence study results, infectious disease control measures, disease parameters and infection transmission parameters; and case series.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12515}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Biomedical Science","Epidemiology"],"domains":["Infection","Disease course"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":9,"relation":"undefined"}],"grants":[{"id":5475,"fairsharing_record_id":318,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:28.640Z","updated_at":"2021-09-30T09:30:00.667Z","grant_id":511,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U24GM110707","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"319","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T15:03:02.232Z","metadata":{"doi":"10.25504/FAIRsharing.vy0p71","name":"NanoParticle Ontology","status":"ready","contacts":[{"contact_name":"Nathan Baker","contact_email":"nathan.baker@pnl.gov","contact_orcid":"0000-0002-5892-6506"}],"homepage":"http://www.nano-ontology.org","identifier":319,"description":"An ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy.","abbreviation":"NPO","support_links":[{"url":"http://www.nano-ontology.org/documentation/frequently-asked-questions","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.nano-ontology.org/documentation","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-002634","bsg-s002634"],"name":"FAIRsharing record for: NanoParticle Ontology","abbreviation":"NPO","url":"https://fairsharing.org/10.25504/FAIRsharing.vy0p71","doi":"10.25504/FAIRsharing.vy0p71","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16998}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Molecular entity","Nanoparticle","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1744,"pubmed_id":20211274,"title":"NanoParticle Ontology for cancer nanotechnology research.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.03.001","authors":"Thomas DG,Pappu RV,Baker NA","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.03.001","created_at":"2021-09-30T08:25:35.713Z","updated_at":"2021-09-30T08:25:35.713Z"}],"licence_links":[],"grants":[{"id":5478,"fairsharing_record_id":319,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:28.723Z","updated_at":"2021-09-30T09:27:28.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8335,"fairsharing_record_id":319,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:09.366Z","updated_at":"2021-09-30T09:32:09.460Z","grant_id":1493,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5476,"fairsharing_record_id":319,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:28.672Z","updated_at":"2021-09-30T09:30:35.437Z","grant_id":778,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U54 CA119342","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11855,"fairsharing_record_id":319,"organisation_id":4426,"relation":"maintains","created_at":"2024-06-27T13:55:02.805Z","updated_at":"2024-06-27T13:55:02.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":4426,"name":"Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"314","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-15T09:49:53.999Z","metadata":{"doi":"10.25504/FAIRsharing.4vr0ys","name":"Fission Yeast Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Valerie Wood","contact_email":"vw253@cam.ac.uk","contact_orcid":"0000-0001-6330-7526"}],"homepage":"http://sourceforge.net/apps/trac/pombase/wiki/FissionYeastPhenotypeOntology","citations":[],"identifier":314,"description":"FYPO is being developed to support the comprehensive and detailed representation of phenotypes in PomBase, the online fission yeast resource (www.pombase.org). Its scope is similar to that of the Ascomycete Phenotype Ontology (APO), but FYPO includes more detailed pre-composed terms as well as computable definitions.","abbreviation":"FYPO","support_links":[{"url":"helpdesk@pombase.org","name":"General Enquiries","type":"Support email"},{"url":"http://www.pombase.org/browse-curation/fission-yeast-phenotype-ontology","type":"Help documentation"},{"url":"https://curation.pombase.org/pombase-trac/wiki/FissionYeastPhenotypeOntology","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FYPO","name":"FYPO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fypo.html","name":"fypo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000291","bsg-s000291"],"name":"FAIRsharing record for: Fission Yeast Phenotype Ontology","abbreviation":"FYPO","url":"https://fairsharing.org/10.25504/FAIRsharing.4vr0ys","doi":"10.25504/FAIRsharing.4vr0ys","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FYPO is being developed to support the comprehensive and detailed representation of phenotypes in PomBase, the online fission yeast resource (www.pombase.org). Its scope is similar to that of the Ascomycete Phenotype Ontology (APO), but FYPO includes more detailed pre-composed terms as well as computable definitions.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10888}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phylogenetics","Life Science"],"domains":["Gene Ontology enrichment","Phenotype"],"taxonomies":["Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1134,"pubmed_id":23658422,"title":"FYPO: the fission yeast phenotype ontology.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt266","authors":"Harris MA,Lock A,Bahler J,Oliver SG,Wood V","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt266","created_at":"2021-09-30T08:24:25.823Z","updated_at":"2021-09-30T08:24:25.823Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1614,"relation":"undefined"}],"grants":[{"id":5468,"fairsharing_record_id":314,"organisation_id":2345,"relation":"maintains","created_at":"2021-09-30T09:27:28.464Z","updated_at":"2021-09-30T09:27:28.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":2345,"name":"Pombase","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5469,"fairsharing_record_id":314,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:28.490Z","updated_at":"2021-09-30T09:27:28.490Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5467,"fairsharing_record_id":314,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:28.440Z","updated_at":"2021-09-30T09:32:42.679Z","grant_id":1743,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT090548MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"315","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:55.178Z","metadata":{"doi":"10.25504/FAIRsharing.jj4n9f","name":"Solanaceae Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Naama Menda","contact_email":"nm249@cornell.edu","contact_orcid":"0000-0002-9117-8116"}],"homepage":"https://solgenomics.net/search/phenotypes/traits","citations":[],"identifier":315,"description":"Solanaceae crop phenotypes and traits, developed in collaboration with the research community, especially for breeder traits of agronomic importance.","abbreviation":"SPTO","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SPTO","name":"SPTO","portal":"BioPortal"}]},"legacy_ids":["bsg-002799","bsg-s002799"],"name":"FAIRsharing record for: Solanaceae Phenotype Ontology","abbreviation":"SPTO","url":"https://fairsharing.org/10.25504/FAIRsharing.jj4n9f","doi":"10.25504/FAIRsharing.jj4n9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Solanaceae crop phenotypes and traits, developed in collaboration with the research community, especially for breeder traits of agronomic importance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Genomics","Genetics","Phenomics"],"domains":["Phenotype","Genotype"],"taxonomies":["Solanaceae"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United States"],"publications":[{"id":901,"pubmed_id":18539779,"title":"A community-based annotation framework for linking solanaceae genomes with phenomes.","year":2008,"url":"http://doi.org/10.1104/pp.108.119560","authors":"Menda N,Buels RM,Tecle I,Mueller LA","journal":"Plant Physiol","doi":"10.1104/pp.108.119560","created_at":"2021-09-30T08:23:59.537Z","updated_at":"2021-09-30T08:23:59.537Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":340,"relation":"undefined"}],"grants":[{"id":5471,"fairsharing_record_id":315,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:28.540Z","updated_at":"2021-09-30T09:30:20.880Z","grant_id":668,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"2007–02777","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5472,"fairsharing_record_id":315,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:27:28.565Z","updated_at":"2021-09-30T09:27:28.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5470,"fairsharing_record_id":315,"organisation_id":3172,"relation":"funds","created_at":"2021-09-30T09:27:28.514Z","updated_at":"2021-09-30T09:29:21.694Z","grant_id":212,"is_lead":false,"saved_state":{"id":3172,"name":"US-Israel Binational Agriculture Research and Development Fund (BARD)","grant":"FI–370–2005","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"316","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2021-11-24T13:13:51.237Z","metadata":{"doi":"10.25504/FAIRsharing.qdcgfc","name":"Ontology of Pneumology","status":"uncertain","contacts":[{"contact_name":"Jean Charlet","contact_email":"jean.charlet@upmc.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOPNEUMO","identifier":316,"description":"OntoPneumo is an ontology for describing pneumology (french version). Their goal is to use natural language within the ontology to express the meaning of each concept using differential principles inherited from Differential Semantics theory. OntoPneumo is used in software for pneumologists that represents medical knowledge to describe the medical diagnoses in the form of graphs and to propose the proper French DRG (Diagnosis Related Group) code.","abbreviation":"OntoPneumo","support_links":[{"url":"Audrey.Baneyx@spim.jussieu.fr","name":"Audrey Baneyx","type":"Support email"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOPNEUMO","name":"ONTOPNEUMO","portal":"BioPortal"}]},"legacy_ids":["bsg-000927","bsg-s000927"],"name":"FAIRsharing record for: Ontology of Pneumology","abbreviation":"OntoPneumo","url":"https://fairsharing.org/10.25504/FAIRsharing.qdcgfc","doi":"10.25504/FAIRsharing.qdcgfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoPneumo is an ontology for describing pneumology (french version). Their goal is to use natural language within the ontology to express the meaning of each concept using differential principles inherited from Differential Semantics theory. OntoPneumo is used in software for pneumologists that represents medical knowledge to describe the medical diagnoses in the form of graphs and to propose the proper French DRG (Diagnosis Related Group) code.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":["Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":956,"pubmed_id":null,"title":"OntoPneumo: An ontology of pneumology domain","year":2008,"url":"http://doi.org/10.3233/AO-2008-0056","authors":"Baneyx, Audrey; Charlet, Jean","journal":"Applied Ontology, vol. 3, no. 4, pp. 229-233","doi":"10.3233/AO-2008-0056","created_at":"2021-09-30T08:24:05.747Z","updated_at":"2021-09-30T08:24:05.747Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.0 UK: England \u0026 Wales (CC BY-NC-ND 2.0 UK)","licence_id":174,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.0/uk/","link_id":1285,"relation":"undefined"}],"grants":[{"id":5473,"fairsharing_record_id":316,"organisation_id":2595,"relation":"maintains","created_at":"2021-09-30T09:27:28.590Z","updated_at":"2021-09-30T09:27:28.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":2595,"name":"Sorbonne University, Paris, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"320","type":"fairsharing_records","attributes":{"created_at":"2016-03-22T12:06:52.000Z","updated_at":"2022-07-20T11:56:34.145Z","metadata":{"doi":"10.25504/FAIRsharing.9w8ea0","name":"OBO Relations Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":"0000-0002-6601-2165"}],"homepage":"https://github.com/oborel/obo-relations/","identifier":320,"description":"RO is a collection of relations intended primarily for standardization across ontologies in the OBO Foundry and wider OBO library. It incorporates ROCore upper-level relations such as part of as well as biology-specific relationship types such as develops from. The predecessor of RO was OBO_REL. Many of the relations in OBO_REL have been ceded to BFO.","abbreviation":"RO","support_links":[{"url":"https://github.com/oborel/obo-relations/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://lists.sourceforge.net/lists/listinfo/obo-relations","name":"Mailing list","type":"Mailing list"},{"url":"https://github.com/oborel/obo-relations/wiki/DifferencesWithOldRO","name":"Differences with Previous Versions","type":"Github"},{"url":"https://github.com/oborel/obo-relations/wiki/ROAndBFO","name":"RO and BFO","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RO","name":"RO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ro.html","name":"ro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000644","bsg-s000644"],"name":"FAIRsharing record for: OBO Relations Ontology","abbreviation":"RO","url":"https://fairsharing.org/10.25504/FAIRsharing.9w8ea0","doi":"10.25504/FAIRsharing.9w8ea0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RO is a collection of relations intended primarily for standardization across ontologies in the OBO Foundry and wider OBO library. It incorporates ROCore upper-level relations such as part of as well as biology-specific relationship types such as develops from. The predecessor of RO was OBO_REL. Many of the relations in OBO_REL have been ceded to BFO.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12122}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Relations"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1751,"relation":"undefined"}],"grants":[{"id":5479,"fairsharing_record_id":320,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:28.749Z","updated_at":"2021-09-30T09:27:28.749Z","grant_id":null,"is_lead":true,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5480,"fairsharing_record_id":320,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:28.773Z","updated_at":"2021-09-30T09:27:28.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"321","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:14:38.000Z","updated_at":"2024-03-21T16:14:00.864Z","metadata":{"doi":"10.25504/FAIRsharing.LaaxUg","name":"IDG Small Molecule Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":321,"description":"Small molecule perturbagen reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001227","bsg-s001227"],"name":"FAIRsharing record for: IDG Small Molecule Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LaaxUg","doi":"10.25504/FAIRsharing.LaaxUg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Small molecule perturbagen reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11702}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11538,"fairsharing_record_id":321,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:10.787Z","updated_at":"2024-03-21T13:58:10.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11621,"fairsharing_record_id":321,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:11:50.522Z","updated_at":"2024-03-21T16:11:50.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaE1FIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b6a9d09ab610d2947259b4428cbd7d29c9daae8d/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"329","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-17T09:29:41.477Z","metadata":{"doi":"10.25504/FAIRsharing.t58zhj","name":"Animals in Research: Reporting In Vivo Experiments","status":"ready","contacts":[{"contact_name":"Nathalie Percie du Sert","contact_email":"nathalie.perciedusert@nc3rs.org.uk"}],"homepage":"https://arriveguidelines.org/arrive-guidelines","citations":[{"doi":"10.1371/journal.pbio.1000412","pubmed_id":20613859,"publication_id":841}],"identifier":329,"description":"The ARRIVE (Animal Research: Reporting In Vivo Experiments) guidelines are intended to improve the reporting of research using animals - maximising information published and minimising unnecessary studies. The ARRIVE guidelines were developed in consultation with the scientific community as part of an NC3Rs initiative to improve the standard of reporting of research using animals. They are available in Chinese (Mandarin), French, Italian, Japanese, Korean, Portuguese (including Brazilian Portuguese) and Spanish as well as the original English.","abbreviation":"ARRIVE","support_links":[{"url":"enquiries@nc3rs.org.uk","type":"Support email"},{"url":"https://www.labroots.com/webinar/keynote-the-arrive-guidelines-improving-the-design-and-reporting-of-animal-research-to-optimize-the-reproducibility-of-animal-studies","name":"Webinar","type":"Video"},{"url":"https://www.nc3rs.org.uk/sites/default/files/documents/Guidelines/ARRIVE%20powerpoint%20Oct%202014.pdf","name":"Presentation","type":"Help documentation"},{"url":"http://www.nc3rs.org.uk/arrive-guidelines","name":"NC3RS ARRIVE Homepage","type":"Other"}],"year_creation":2010},"legacy_ids":["bsg-000035","bsg-s000035"],"name":"FAIRsharing record for: Animals in Research: Reporting In Vivo Experiments","abbreviation":"ARRIVE","url":"https://fairsharing.org/10.25504/FAIRsharing.t58zhj","doi":"10.25504/FAIRsharing.t58zhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ARRIVE (Animal Research: Reporting In Vivo Experiments) guidelines are intended to improve the reporting of research using animals - maximising information published and minimising unnecessary studies. The ARRIVE guidelines were developed in consultation with the scientific community as part of an NC3Rs initiative to improve the standard of reporting of research using animals. They are available in Chinese (Mandarin), French, Italian, Japanese, Korean, Portuguese (including Brazilian Portuguese) and Spanish as well as the original English.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Animal research","In vivo design"],"taxonomies":["Animalia","Metazoa"],"user_defined_tags":[],"countries":["Australia","Belgium","Canada","Switzerland","United Kingdom","United States"],"publications":[{"id":813,"pubmed_id":19956596,"title":"Survey of the quality of experimental design, statistical analysis and reporting of research using animals","year":2009,"url":"http://doi.org/10.1371/journal.pone.0007824","authors":"Kilkenny C, Parsons N, Kadyszewski E, Festing MF, Cuthill IC, Fry D, Hutton J, Altman DG","journal":"PLoS One","doi":"10.1371/journal.pone.0007824","created_at":"2021-09-30T08:23:49.697Z","updated_at":"2021-09-30T08:23:49.697Z"},{"id":841,"pubmed_id":20613859,"title":"Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research.","year":2010,"url":"http://doi.org/10.1371/journal.pbio.1000412","authors":"Kilkenny C,Browne WJ,Cuthill IC,Emerson M,Altman DG","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1000412","created_at":"2021-09-30T08:23:52.829Z","updated_at":"2021-09-30T08:23:52.829Z"},{"id":4133,"pubmed_id":null,"title":"Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0","year":2020,"url":"http://dx.doi.org/10.1371/journal.pbio.3000411","authors":"Percie du Sert, Nathalie; Ahluwalia, Amrita; Alam, Sabina; Avey, Marc T.; Baker, Monya; Browne, William J.; Clark, Alejandra; Cuthill, Innes C.; Dirnagl, Ulrich; Emerson, Michael; Garner, Paul; Holgate, Stephen T.; Howells, David W.; Hurst, Viki; Karp, Natasha A.; Lazic, Stanley E.; Lidster, Katie; MacCallum, Catriona J.; Macleod, Malcolm; Pearl, Esther J.; Petersen, Ole H.; Rawle, Frances; Reynolds, Penny; Rooney, Kieron; Sena, Emily S.; Silberberg, Shai D.; Steckler, Thomas; Würbel, Hanno; ","journal":"PLoS Biol","doi":"10.1371/journal.pbio.3000411","created_at":"2024-02-17T09:16:19.947Z","updated_at":"2024-02-17T09:16:19.947Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3503,"relation":"applies_to_content"}],"grants":[{"id":5488,"fairsharing_record_id":329,"organisation_id":2290,"relation":"funds","created_at":"2021-09-30T09:27:29.071Z","updated_at":"2021-09-30T09:27:29.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5490,"fairsharing_record_id":329,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:29.147Z","updated_at":"2021-09-30T09:27:29.147Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5492,"fairsharing_record_id":329,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:27:29.247Z","updated_at":"2021-09-30T09:27:29.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5486,"fairsharing_record_id":329,"organisation_id":2031,"relation":"funds","created_at":"2021-09-30T09:27:28.988Z","updated_at":"2021-09-30T09:27:28.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":2031,"name":"National Institutes for Health/Office of Laboratory Animal Welfare","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5489,"fairsharing_record_id":329,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:29.109Z","updated_at":"2021-09-30T09:27:29.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5491,"fairsharing_record_id":329,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:29.188Z","updated_at":"2021-09-30T09:27:29.188Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5487,"fairsharing_record_id":329,"organisation_id":1975,"relation":"maintains","created_at":"2021-09-30T09:27:29.030Z","updated_at":"2024-02-17T09:18:29.802Z","grant_id":null,"is_lead":true,"saved_state":{"id":1975,"name":"National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs), London, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb2dEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--62c3869a053e22e56968fcd90093a9410b0bd79d/Screenshot%20from%202024-02-17%2009-17-05.png?disposition=inline","exhaustive_licences":true}},{"id":"419","type":"fairsharing_records","attributes":{"created_at":"2015-02-23T13:23:52.000Z","updated_at":"2021-11-24T13:18:35.590Z","metadata":{"doi":"10.25504/FAIRsharing.yfc7pa","name":"mzData","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"psidev-ms-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/mzdata","identifier":419,"description":"mzData is an XML format for representing mass spectrometry data in such a way as to completely describe the instrumental aspects of the experiment.","abbreviation":"mzData","support_links":[{"url":"http://www.psidev.info/mzdata-1_0_5-docs","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2015-04-08","deprecation_reason":"This resource is obsolete and has been superseded by mzML."},"legacy_ids":["bsg-000582","bsg-s000582"],"name":"FAIRsharing record for: mzData","abbreviation":"mzData","url":"https://fairsharing.org/10.25504/FAIRsharing.yfc7pa","doi":"10.25504/FAIRsharing.yfc7pa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mzData is an XML format for representing mass spectrometry data in such a way as to completely describe the instrumental aspects of the experiment.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10918},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11443},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12061}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":606,"pubmed_id":18655045,"title":"mzML: a single, unifying data format for mass spectrometer output.","year":2008,"url":"http://doi.org/10.1002/pmic.200890049","authors":"Deutsch E","journal":"Proteomics","doi":"10.1002/pmic.200890049","created_at":"2021-09-30T08:23:26.470Z","updated_at":"2021-09-30T08:23:26.470Z"},{"id":734,"pubmed_id":14625869,"title":"Further advances in the development of a data interchange standard for proteomics data","year":2003,"url":"http://doi.org/10.1002/pmic.200300588","authors":"Orchard S, Zhu W, Julian RK Jr, Hermjakob H, Apweiler R.","journal":"Proteomics","doi":"10.1002/pmic.200300588","created_at":"2021-09-30T08:23:40.895Z","updated_at":"2021-09-30T08:23:40.895Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"420","type":"fairsharing_records","attributes":{"created_at":"2015-02-17T19:59:27.000Z","updated_at":"2023-05-05T09:03:36.017Z","metadata":{"doi":"10.25504/FAIRsharing.262bth","name":"mz5","status":"deprecated","contacts":[{"contact_name":"Judith A.J. Steen","contact_email":"judith.steen@childrens.harvard.edu"}],"homepage":"http://software.steenlab.org/mz5","citations":[],"identifier":420,"description":"mz5 is a complete reimplementation of the mzML ontology that is based on the efficient, industrial strength storage backend HDF5.","abbreviation":"mz5","support_links":[{"url":"hanno.steen@childrens.harvard.edu","type":"Support email"}],"year_creation":2011,"deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000580","bsg-s000580"],"name":"FAIRsharing record for: mz5","abbreviation":"mz5","url":"https://fairsharing.org/10.25504/FAIRsharing.262bth","doi":"10.25504/FAIRsharing.262bth","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mz5 is a complete reimplementation of the mzML ontology that is based on the efficient, industrial strength storage backend HDF5.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10914},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11031}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":701,"pubmed_id":21960719,"title":"mz5: space- and time-efficient storage of mass spectrometry data sets","year":2011,"url":"http://doi.org/S1535-9476(20)30559-4","authors":"Wilhelm M, Kirchner M, Steen JA, Steen H.","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O111.011379","created_at":"2021-09-30T08:23:37.286Z","updated_at":"2021-09-30T08:23:37.286Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1188,"relation":"undefined"}],"grants":[{"id":5637,"fairsharing_record_id":420,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:34.169Z","updated_at":"2021-09-30T09:27:34.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5636,"fairsharing_record_id":420,"organisation_id":53,"relation":"funds","created_at":"2021-09-30T09:27:34.138Z","updated_at":"2021-09-30T09:31:17.241Z","grant_id":1102,"is_lead":false,"saved_state":{"id":53,"name":"Alexander von Humboldt Foundation, Germany","grant":"DEU/1134241","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5638,"fairsharing_record_id":420,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:34.211Z","updated_at":"2021-09-30T09:30:27.723Z","grant_id":722,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-GM094844-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8120,"fairsharing_record_id":420,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:03.680Z","updated_at":"2021-09-30T09:31:03.736Z","grant_id":998,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-NS066973-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"421","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2021-11-24T13:14:19.948Z","metadata":{"doi":"10.25504/FAIRsharing.qp211a","name":"Clinical Trials Ontology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de","contact_orcid":"0000-0001-8793-2692"}],"homepage":"http://bioportal.bioontology.org/ontologies/CTO","identifier":421,"description":"The Clinical Trials Ontology (CTO) is also known as the Clinical Trial Ontology-Neurodegenerative Diseases (CTO-NDD), and describes clinical trials in the field of neurodegeneration. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","abbreviation":"CTO","support_links":[{"url":"http://aetionomy.scai.fhg.de/","name":"Aetionomy Project","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTO","name":"CTO","portal":"BioPortal"}]},"legacy_ids":["bsg-001058","bsg-s001058"],"name":"FAIRsharing record for: Clinical Trials Ontology","abbreviation":"CTO","url":"https://fairsharing.org/10.25504/FAIRsharing.qp211a","doi":"10.25504/FAIRsharing.qp211a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Clinical Trials Ontology (CTO) is also known as the Clinical Trial Ontology-Neurodegenerative Diseases (CTO-NDD), and describes clinical trials in the field of neurodegeneration. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17357},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12532}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5639,"fairsharing_record_id":421,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:34.253Z","updated_at":"2021-09-30T09:27:34.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"422","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:20.009Z","metadata":{"doi":"10.25504/FAIRsharing.pk6cwg","name":"Epoch Clinical Trial Ontology","status":"uncertain","contacts":[{"contact_name":"Ravi Shankar","contact_email":"rshankar@stanford.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/CTONT","identifier":422,"description":"The Epoch Clinical Trial Ontology is a standard, originally curated from data in BioPortal. It encodes knowledge about the clinical trial domain that is relevant to trial management applications. It has been created to support semantic interoperation of clinical trial software applications. Epoch is a suite of clinical trial ontologies that formally represents protocol entities relevant to the clinical trials management applications they support. However, information on this standard appears to no longer be available. If you work on this standard, or know of it's current status, please get in touch with our team.","abbreviation":null,"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTONT","name":"CTONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002610","bsg-s002610"],"name":"FAIRsharing record for: Epoch Clinical Trial Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pk6cwg","doi":"10.25504/FAIRsharing.pk6cwg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epoch Clinical Trial Ontology is a standard, originally curated from data in BioPortal. It encodes knowledge about the clinical trial domain that is relevant to trial management applications. It has been created to support semantic interoperation of clinical trial software applications. Epoch is a suite of clinical trial ontologies that formally represents protocol entities relevant to the clinical trials management applications they support. However, information on this standard appears to no longer be available. If you work on this standard, or know of it's current status, please get in touch with our team.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12517}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Chemical entity","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":263,"pubmed_id":18693919,"title":"An ontology-based architecture for integration of clinical trials management applications.","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/18693919","authors":"Shankar RD,Martins SB,O'Connor M,Parrish DB,Das AK","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:22:48.418Z","updated_at":"2021-09-30T08:22:48.418Z"}],"licence_links":[],"grants":[{"id":5640,"fairsharing_record_id":422,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:34.294Z","updated_at":"2021-09-30T09:27:34.294Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"423","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:00:19.377Z","metadata":{"doi":"10.25504/FAIRsharing.yg0zpm","name":"Computer-based Patient Record Ontology","status":"ready","contacts":[{"contact_name":"Chimezie Ogbuji","contact_email":"chimezie@gmail.com"}],"homepage":"https://code.google.com/archive/p/cpr-ontology/","identifier":423,"description":"A uniform core set of data elements (whose formal semantics are captured in OWL) for use in a Computer-Based Patient Record (CPR).","abbreviation":"CPR","support_links":[{"url":"https://code.google.com/archive/p/cpr-ontology/issues","name":"Issues","type":"Forum"},{"url":"https://code.google.com/archive/p/cpr-ontology/wikis/CPROverview.wiki","type":"Help documentation"},{"url":"https://www.researchgate.net/publication/235463154_A_Framework_Ontology_for_Computer-Based_Patient_Record_Systems?ev=prf_pub","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CPRO","name":"CPRO","portal":"BioPortal"}]},"legacy_ids":["bsg-002593","bsg-s002593"],"name":"FAIRsharing record for: Computer-based Patient Record Ontology","abbreviation":"CPR","url":"https://fairsharing.org/10.25504/FAIRsharing.yg0zpm","doi":"10.25504/FAIRsharing.yg0zpm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A uniform core set of data elements (whose formal semantics are captured in OWL) for use in a Computer-Based Patient Record (CPR).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12518}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Medical Informatics"],"domains":["Electronic health record","Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2523,"pubmed_id":null,"title":"A Framework Ontology for Computer-Based Patient Record Systems","year":2011,"url":"https://pdfs.semanticscholar.org/7d37/3778e655af33f47c69fbb943725011e5c113.pdf","authors":"Ogbuji C.","journal":"ICBO: International Conference on Biomedical Ontology","doi":null,"created_at":"2021-09-30T08:27:09.516Z","updated_at":"2021-09-30T08:27:09.516Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":826,"relation":"undefined"}],"grants":[{"id":5641,"fairsharing_record_id":423,"organisation_id":2360,"relation":"maintains","created_at":"2021-09-30T09:27:34.332Z","updated_at":"2021-09-30T09:27:34.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2360,"name":"Problem-Oriented Medical Record Ontology (POMROntology) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5642,"fairsharing_record_id":423,"organisation_id":2515,"relation":"maintains","created_at":"2021-09-30T09:27:34.370Z","updated_at":"2021-09-30T09:27:34.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2515,"name":"School of Medicine, Case Western University, Cleveland, OH, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"424","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-07T16:04:28.885Z","metadata":{"doi":"10.25504/FAIRsharing.sp7hvb","name":"Proteomics data and process provenance","status":"uncertain","contacts":[{"contact_name":"Satya S. Sahoo","contact_email":"satyasahoo@ieee.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/PROPREO","identifier":424,"description":"A comprehensive proteomics data and process provenance ontology.","abbreviation":"ProPreO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PROPREO","name":"PROPREO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/propreo.html","name":"propreo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002622","bsg-s002622"],"name":"FAIRsharing record for: Proteomics data and process provenance","abbreviation":"ProPreO","url":"https://fairsharing.org/10.25504/FAIRsharing.sp7hvb","doi":"10.25504/FAIRsharing.sp7hvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive proteomics data and process provenance ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":9096,"fairsharing_record_id":424,"organisation_id":556,"relation":"maintains","created_at":"2022-04-07T13:26:04.742Z","updated_at":"2022-04-07T13:26:04.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":556,"name":"College of Engineering and Computer Science (KNO.E.SIS), Fairborn, OH, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5643,"fairsharing_record_id":424,"organisation_id":1311,"relation":"maintains","created_at":"2021-09-30T09:27:34.412Z","updated_at":"2021-09-30T09:27:34.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":1311,"name":"IEEE Engineering in Medicine and Biology Society (EMBS), Piscataway, NJ, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"425","type":"fairsharing_records","attributes":{"created_at":"2020-09-03T12:34:36.000Z","updated_at":"2022-09-28T15:04:43.321Z","metadata":{"doi":"10.25504/FAIRsharing.YKGuWm","name":"Covid-19 Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/C0X/en/","citations":[],"identifier":425,"description":"This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the emerging COVID-19 outbreak which reminds the past SARS coronavirus outbreak and Middle East coronavirus outbreak. This thesaurus is based on the vocabulary used in scientific publications for SARS-CoV-2 and other coronaviruses, like SARS-CoV and MERS-CoV. It provides a support to explore the coronavirus infectious diseases.","abbreviation":null,"year_creation":2020},"legacy_ids":["bsg-001514","bsg-s001514"],"name":"FAIRsharing record for: Covid-19 Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.YKGuWm","doi":"10.25504/FAIRsharing.YKGuWm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the emerging COVID-19 outbreak which reminds the past SARS coronavirus outbreak and Middle East coronavirus outbreak. This thesaurus is based on the vocabulary used in scientific publications for SARS-CoV-2 and other coronaviruses, like SARS-CoV and MERS-CoV. It provides a support to explore the coronavirus infectious diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Virology","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":582,"relation":"undefined"}],"grants":[{"id":5646,"fairsharing_record_id":425,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:34.523Z","updated_at":"2021-09-30T09:27:34.523Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5645,"fairsharing_record_id":425,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:34.491Z","updated_at":"2021-09-30T09:27:34.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"452","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:16:25.000Z","updated_at":"2022-07-20T11:58:30.153Z","metadata":{"name":"Germplasm Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_010:ROOT","citations":[],"identifier":452,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Germplasm Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Banana (Musa spp.) (1996) and Descriptors for Mango by Bioversity and covers information about general germplasm descriptors.","abbreviation":"CO_010","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2007,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001172","bsg-s001172"],"name":"FAIRsharing record for: Germplasm Ontology","abbreviation":"CO_010","url":"https://fairsharing.org/fairsharing_records/452","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Germplasm Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Banana (Musa spp.) (1996) and Descriptors for Mango by Bioversity and covers information about general germplasm descriptors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science","Plant Anatomy","Plant Cell Biology"],"domains":["Germplasm"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Italy","Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":157,"relation":"undefined"}],"grants":[{"id":5689,"fairsharing_record_id":452,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:35.956Z","updated_at":"2021-09-30T09:27:35.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5690,"fairsharing_record_id":452,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:35.982Z","updated_at":"2021-09-30T09:27:35.982Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"453","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:36.408Z","metadata":{"doi":"10.25504/FAIRsharing.6ax9gn","name":"Reproductive trait and phenotype ontology","status":"ready","contacts":[{"contact_name":"Ina Hulsegge","contact_email":"ina.hulsegge@wur.nl","contact_orcid":"0000-0002-7015-6540"}],"homepage":"http://bioportal.bioontology.org/ontologies/1552","identifier":453,"description":"Ontology for livestock reproductive traits and phenotypes.","abbreviation":"REPO","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/REPO","name":"REPO","portal":"BioPortal"}]},"legacy_ids":["bsg-002698","bsg-s002698"],"name":"FAIRsharing record for: Reproductive trait and phenotype ontology","abbreviation":"REPO","url":"https://fairsharing.org/10.25504/FAIRsharing.6ax9gn","doi":"10.25504/FAIRsharing.6ax9gn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for livestock reproductive traits and phenotypes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":["Livestock","Trait modelling data"],"countries":["Netherlands"],"publications":[{"id":1016,"pubmed_id":22228038,"title":"Contributions to an animal trait ontology.","year":2012,"url":"http://doi.org/10.2527/jas.2011-4251","authors":"Hulsegge B, Smits MA, te Pas MF, Woelders H","journal":"J Anim Sci","doi":"10.2527/jas.2011-4251","created_at":"2021-09-30T08:24:12.480Z","updated_at":"2021-09-30T08:24:12.480Z"}],"licence_links":[],"grants":[{"id":5691,"fairsharing_record_id":453,"organisation_id":3215,"relation":"maintains","created_at":"2021-09-30T09:27:36.006Z","updated_at":"2021-09-30T09:27:36.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":3215,"name":"Wageningen University and Research, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"454","type":"fairsharing_records","attributes":{"created_at":"2021-06-28T05:46:23.000Z","updated_at":"2023-04-21T08:43:41.904Z","metadata":{"doi":"10.25504/FAIRsharing.5a608b","name":"BD5","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp","contact_orcid":"0000-0002-8255-1724"}],"homepage":"https://github.com/openssbd/BDML-BD5","citations":[{"doi":"10.1371/journal.pone.0237468","pubmed_id":32785254,"publication_id":2517}],"identifier":454,"description":"BD5 is an open HDF5-based format for representing quantitative data of biological dynamics.","abbreviation":"BD5","support_links":[{"url":"http://ssbd.qbic.riken.jp/bdml/bd5.html","type":"Help documentation"}],"year_creation":2020},"legacy_ids":["bsg-001619","bsg-s001619"],"name":"FAIRsharing record for: BD5","abbreviation":"BD5","url":"https://fairsharing.org/10.25504/FAIRsharing.5a608b","doi":"10.25504/FAIRsharing.5a608b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BD5 is an open HDF5-based format for representing quantitative data of biological dynamics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2517,"pubmed_id":32785254,"title":"BD5: An open HDF5-based data format to represent quantitative biological dynamics data.","year":2020,"url":"http://doi.org/10.1371/journal.pone.0237468","authors":"Kyoda K,Ho KHL,Tohsato Y,Itoga H,Onami S","journal":"PLoS One","doi":"10.1371/journal.pone.0237468","created_at":"2021-09-30T08:27:08.825Z","updated_at":"2021-09-30T08:27:08.825Z"}],"licence_links":[],"grants":[{"id":5693,"fairsharing_record_id":454,"organisation_id":2447,"relation":"funds","created_at":"2021-09-30T09:27:36.056Z","updated_at":"2021-09-30T09:29:48.959Z","grant_id":417,"is_lead":false,"saved_state":{"id":2447,"name":"RIKEN Open Life Science Platform","grant":"NA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5692,"fairsharing_record_id":454,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:27:36.032Z","updated_at":"2021-09-30T09:31:16.839Z","grant_id":1099,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","grant":"JP18H05412","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5695,"fairsharing_record_id":454,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:27:36.106Z","updated_at":"2021-09-30T09:32:35.720Z","grant_id":1690,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","grant":"JPMJCR1511","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5694,"fairsharing_record_id":454,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:36.082Z","updated_at":"2021-09-30T09:29:48.977Z","grant_id":417,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","grant":"NA","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"455","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-03-15T07:34:44.186Z","metadata":{"doi":"10.25504/FAIRsharing.azq2t6","name":"Molecular Interaction Map","status":"ready","contacts":[{"contact_name":"Anders Riutta","contact_email":"anders.riutta@gladstone.ucsf.edu"}],"homepage":"http://discover.nci.nih.gov/mim/","citations":[],"identifier":455,"description":"A Molecular Interaction Map (MIM) is a diagram convention that is capable of unambiguous representation of networks containing multi-protein complexes, protein modifications, and enzymes that are substrates of other enzymes. This graphical representation makes it possible to view all of the many interactions in which a given molecule may be involved, and it can portray competing interactions, which are common in bioregulatory networks. In order to facilitate linkage to databases, each molecular species is represented only once in a diagram. ","abbreviation":"MIM","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MIM","name":"MIM","portal":"BioPortal"}]},"legacy_ids":["bsg-001039","bsg-s001039"],"name":"FAIRsharing record for: Molecular Interaction Map","abbreviation":"MIM","url":"https://fairsharing.org/10.25504/FAIRsharing.azq2t6","doi":"10.25504/FAIRsharing.azq2t6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A Molecular Interaction Map (MIM) is a diagram convention that is capable of unambiguous representation of networks containing multi-protein complexes, protein modifications, and enzymes that are substrates of other enzymes. This graphical representation makes it possible to view all of the many interactions in which a given molecule may be involved, and it can portray competing interactions, which are common in bioregulatory networks. In order to facilitate linkage to databases, each molecular species is represented only once in a diagram. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Enzymology"],"domains":["Network model"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10417,"fairsharing_record_id":455,"organisation_id":1954,"relation":"undefined","created_at":"2023-03-15T07:34:35.124Z","updated_at":"2023-03-15T07:34:35.124Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"456","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-05T13:51:24.799Z","metadata":{"doi":"10.25504/FAIRsharing.sgk7s0","name":"Ontology of Core Data Mining Entities","status":"deprecated","contacts":[{"contact_name":"Pance Panov","contact_email":"pance.panov@ijs.si","contact_orcid":"0000-0002-7685-9140"}],"homepage":"http://www.ontodm.com/doku.php?id=ontodm-core","citations":[],"identifier":456,"description":"OntoDM is a generic ontology for the domain of data mining. The ontology includes the information processing processes that occur in the domain of data mining, participants in the processes and their specifications. OntoDM is highly transferable and extendable due to its adherence to accepted standards, and compliance with existing ontology resources. The generality in scope allows wide number of applications of the ontology, such as semantic annotation of data mining scenarios, ontology based support for QSARs, etc.","abbreviation":"OntoDM-core","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTODM-CORE","name":"ONTODM-CORE","portal":"BioPortal"}],"deprecation_date":"2023-04-05","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002731","bsg-s002731"],"name":"FAIRsharing record for: Ontology of Core Data Mining Entities","abbreviation":"OntoDM-core","url":"https://fairsharing.org/10.25504/FAIRsharing.sgk7s0","doi":"10.25504/FAIRsharing.sgk7s0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoDM is a generic ontology for the domain of data mining. The ontology includes the information processing processes that occur in the domain of data mining, participants in the processes and their specifications. OntoDM is highly transferable and extendable due to its adherence to accepted standards, and compliance with existing ontology resources. The generality in scope allows wide number of applications of the ontology, such as semantic annotation of data mining scenarios, ontology based support for QSARs, etc.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12035}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Semantic"],"countries":["Slovenia","United Kingdom"],"publications":[{"id":1532,"pubmed_id":null,"title":"Ontology of core data mining entities","year":2014,"url":"http://doi.org/10.1007/s10618-014-0363-0","authors":"Panov P, Soldatova L, Džeroski S,","journal":"Data Mining and Knowledge Discovery","doi":"10.1007/s10618-014-0363-0","created_at":"2021-09-30T08:25:11.493Z","updated_at":"2021-09-30T08:25:11.493Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"457","type":"fairsharing_records","attributes":{"created_at":"2019-01-21T20:11:58.000Z","updated_at":"2022-11-01T11:58:23.175Z","metadata":{"doi":"10.25504/FAIRsharing.r49beq","name":"FAIR Metrics - Identifier Uniqueness","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F1A","citations":[],"identifier":457,"description":"The FM-F1A Metric provides a measurement of whether or not there is a scheme to uniquely identify the digital resource. An identifier scheme is valid if and only if it is described in a repository that can register and present such identifier schemes (e.g. fairsharing.org). Information about the identifier scheme must be presented with a machine-readable document containing the FM1 attribute with the URL to where the scheme is described. see specification for implementation. This metric applies to part F1 of the FAIR Principles.","abbreviation":"FM-F1A","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001341","bsg-s001341"],"name":"FAIRsharing record for: FAIR Metrics - Identifier Uniqueness","abbreviation":"FM-F1A","url":"https://fairsharing.org/10.25504/FAIRsharing.r49beq","doi":"10.25504/FAIRsharing.r49beq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FM-F1A Metric provides a measurement of whether or not there is a scheme to uniquely identify the digital resource. An identifier scheme is valid if and only if it is described in a repository that can register and present such identifier schemes (e.g. fairsharing.org). Information about the identifier scheme must be presented with a machine-readable document containing the FM1 attribute with the URL to where the scheme is described. see specification for implementation. This metric applies to part F1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Subject Agnostic"],"domains":["Data identity and mapping","Centrally registered identifier","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1390,"relation":"undefined"}],"grants":[{"id":5696,"fairsharing_record_id":457,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:36.133Z","updated_at":"2021-09-30T09:27:36.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5697,"fairsharing_record_id":457,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:36.156Z","updated_at":"2021-09-30T09:27:36.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5698,"fairsharing_record_id":457,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:36.182Z","updated_at":"2021-09-30T09:27:36.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5699,"fairsharing_record_id":457,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:36.206Z","updated_at":"2021-09-30T09:27:36.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"446","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T21:15:09.000Z","updated_at":"2022-07-20T10:34:53.307Z","metadata":{"doi":"10.25504/FAIRsharing.f1292d","name":"SPHERE Activities of Daily Living","status":"ready","contacts":[{"contact_name":"Engineering Department General Contact","contact_email":"engf-faculty@bristol.ac.uk","contact_orcid":null}],"homepage":"https://doi.org/10.5523/bris.1234ym4ulx3r11i2z5b13g93n7","citations":[{"doi":"E2361","pubmed_id":30037001,"publication_id":2892}],"identifier":446,"description":"The Activities of Daily Living Ontology is available for use in the SPHERE (Sensor Platform for HEalth in a Residential Environment) system to capture and express daily behaviour and activities among patients. While this ontology is available, please note that it has not been updated since 2016.","abbreviation":"ADL","support_links":[],"year_creation":2016},"legacy_ids":["bsg-001457","bsg-s001457"],"name":"FAIRsharing record for: SPHERE Activities of Daily Living","abbreviation":"ADL","url":"https://fairsharing.org/10.25504/FAIRsharing.f1292d","doi":"10.25504/FAIRsharing.f1292d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Activities of Daily Living Ontology is available for use in the SPHERE (Sensor Platform for HEalth in a Residential Environment) system to capture and express daily behaviour and activities among patients. While this ontology is available, please note that it has not been updated since 2016.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12238},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12554}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies","Medicines Research and Development","Behavioural Biology","Social and Behavioural Science"],"domains":["Behavior","Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2892,"pubmed_id":30037001,"title":"Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation.","year":2018,"url":"http://doi.org/E2361","authors":"Woznowski PR,Tonkin EL,Flach PA","journal":"Sensors (Basel)","doi":"E2361","created_at":"2021-09-30T08:27:56.099Z","updated_at":"2021-09-30T08:27:56.099Z"}],"licence_links":[{"licence_name":"Non-Commercial Government Licence for Public Sector Information","licence_id":597,"licence_url":"https://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/","link_id":2576,"relation":"applies_to_content"}],"grants":[{"id":8742,"fairsharing_record_id":446,"organisation_id":862,"relation":"funds","created_at":"2022-01-21T14:25:01.226Z","updated_at":"2022-01-21T14:25:01.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5687,"fairsharing_record_id":446,"organisation_id":983,"relation":"maintains","created_at":"2021-09-30T09:27:35.906Z","updated_at":"2022-01-21T14:25:01.396Z","grant_id":null,"is_lead":true,"saved_state":{"id":983,"name":"Faculty of Engineering, University of Bristol, Bristol","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"447","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T14:49:40.000Z","updated_at":"2023-10-03T09:53:37.103Z","metadata":{"doi":"10.25504/FAIRsharing.x1ar7v","name":"MIAPE: Gel Electrophoresis","status":"ready","contacts":[{"contact_name":"Frank Gibson","contact_email":"Frank.Gibson@ncl.ac.uk"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":447,"description":"This module identifies guidelines for the minimum information to report about the use of n- dimensional gel electrophoresis in a proteomics experiment.","abbreviation":"MIAPE-GE","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Support email"},{"url":"psi-mi@ebi.ac.uk","type":"Support email"}],"year_creation":2008},"legacy_ids":["bsg-000609","bsg-s000609"],"name":"FAIRsharing record for: MIAPE: Gel Electrophoresis","abbreviation":"MIAPE-GE","url":"https://fairsharing.org/10.25504/FAIRsharing.x1ar7v","doi":"10.25504/FAIRsharing.x1ar7v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies guidelines for the minimum information to report about the use of n- dimensional gel electrophoresis in a proteomics experiment.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11442},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12053}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Assay","Electrophoresis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","France","Germany","Switzerland","United Kingdom","United States"],"publications":[{"id":2003,"pubmed_id":18688234,"title":"Guidelines for reporting the use of gel electrophoresis in proteomics.","year":2008,"url":"http://doi.org/10.1038/nbt0808-863","authors":"Gibson F,Anderson L,Babnigg G,Baker M,Berth M,Binz PA,Borthwick A,Cash P,Day BW,Friedman DB,Garland D,Gutstein HB,Hoogland C,Jones NA,Khan A,Klose J,Lamond AI,Lemkin PF,Lilley KS,Minden J,Morris NJ,Paton NW,Pisano MR,Prime JE,Rabilloud T,Stead DA,Taylor CF,Voshol H,Wipat A,Jones AR","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-863","created_at":"2021-09-30T08:26:05.557Z","updated_at":"2021-09-30T08:26:05.557Z"}],"licence_links":[],"grants":[{"id":5688,"fairsharing_record_id":447,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:35.932Z","updated_at":"2023-10-03T09:43:23.151Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2NEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8d206ae4103b6a63f54c7266c5467d0b05b4996d/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"448","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-12-23T08:41:54.164Z","metadata":{"doi":"10.25504/FAIRsharing.93g1th","name":"Porifera Ontology","status":"ready","contacts":[{"contact_name":"Bob Thacker","contact_email":"thacker@uab.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/PORO","citations":[],"identifier":448,"description":"An ontology covering the anatomy of Porifera (sponges)","abbreviation":"PORO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PORO","name":"PORO","portal":"BioPortal"}]},"legacy_ids":["bsg-001034","bsg-s001034"],"name":"FAIRsharing record for: Porifera Ontology","abbreviation":"PORO","url":"https://fairsharing.org/10.25504/FAIRsharing.93g1th","doi":"10.25504/FAIRsharing.93g1th","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology covering the anatomy of Porifera (sponges)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Taxonomy","Phylogeny"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"449","type":"fairsharing_records","attributes":{"created_at":"2015-09-26T04:56:38.000Z","updated_at":"2023-04-23T13:00:44.758Z","metadata":{"doi":"10.25504/FAIRsharing.8btktm","name":"Observations and Measurements OWL implementation","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"dr.shorthair@pm.me","contact_orcid":"0000-0002-3884-3420"}],"homepage":"https://www.w3.org/2015/spatial/wiki/Alignment_to_om-lite","citations":[],"identifier":449,"description":"An OWL representation of the Observation Schema described in clauses 7-8 of ISO 19156:2011 Geographic Information - Observations and Measurements.","abbreviation":"om-lite","year_creation":2014},"legacy_ids":["bsg-000618","bsg-s000618"],"name":"FAIRsharing record for: Observations and Measurements OWL implementation","abbreviation":"om-lite","url":"https://fairsharing.org/10.25504/FAIRsharing.8btktm","doi":"10.25504/FAIRsharing.8btktm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An OWL representation of the Observation Schema described in clauses 7-8 of ISO 19156:2011 Geographic Information - Observations and Measurements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Earth Science"],"domains":["Monitoring"],"taxonomies":["Not applicable"],"user_defined_tags":["Defence and intelligence"],"countries":["Australia"],"publications":[{"id":2230,"pubmed_id":null,"title":"Ontology for observations and sampling features, with alignments to existing models","year":2017,"url":"http://doi.org/10.3233/SW-160214","authors":"Cox, Simon J D","journal":"Semantic Web Journal","doi":"10.3233/SW-160214","created_at":"2021-09-30T08:26:31.314Z","updated_at":"2021-09-30T08:26:31.314Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":4,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"451","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-03-11T10:28:29.176Z","metadata":{"doi":"10.25504/FAIRsharing.d8a14w","name":"Early Pregnancy Ontology","status":"deprecated","contacts":[{"contact_name":"Ferdinand Dhombres","contact_email":"ferdinand.dhombres@inserm.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/EPO","citations":[],"identifier":451,"description":"The early pregnancy ontology contains the concepts to describe ectopic pregnancy ultrasound images, organized into several subsumption hierarchies for types of ectopic pregnancies and the signs, anatomical structures and technical elements of imaging associated with ectopic pregnancy. Also known as the Ectopic pregnancy ontology.","abbreviation":"EPO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EPO","name":"EPO","portal":"BioPortal"}],"deprecation_date":"2022-03-11","deprecation_reason":"This resource has not been updated in BioPortal since its initial submission, and no alternative homepage or information can be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-001037","bsg-s001037"],"name":"FAIRsharing record for: Early Pregnancy Ontology","abbreviation":"EPO","url":"https://fairsharing.org/10.25504/FAIRsharing.d8a14w","doi":"10.25504/FAIRsharing.d8a14w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The early pregnancy ontology contains the concepts to describe ectopic pregnancy ultrasound images, organized into several subsumption hierarchies for types of ectopic pregnancies and the signs, anatomical structures and technical elements of imaging associated with ectopic pregnancy. Also known as the Ectopic pregnancy ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gynecology","Obstetrics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3254,"pubmed_id":null,"title":"Towards ontology-based decision support systems for complex ultrasound diagnosis in obstetrics and gynecology","year":2017,"url":"http://dx.doi.org/10.1016/j.jogoh.2017.03.004","authors":"Maurice, P.; Dhombres, F.; Blondiaux, E.; Friszer, S.; Guilbaud, L.; Lelong, N.; Khoshnood, B.; Charlet, J.; Perrot, N.; Jauniaux, E.; Jurkovic, D.; Jouannic, J.-M.; ","journal":"Journal of Gynecology Obstetrics and Human Reproduction","doi":"10.1016/j.jogoh.2017.03.004","created_at":"2022-03-11T10:13:03.282Z","updated_at":"2022-03-11T10:13:03.282Z"}],"licence_links":[],"grants":[{"id":8982,"fairsharing_record_id":451,"organisation_id":1444,"relation":"maintains","created_at":"2022-03-11T10:15:17.967Z","updated_at":"2022-03-11T10:15:17.967Z","grant_id":null,"is_lead":true,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"442","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T14:20:17.000Z","updated_at":"2023-10-03T09:53:45.276Z","metadata":{"doi":"10.25504/FAIRsharing.mrrzb3","name":"MIAPE: Mass Spectrometry Informatics","status":"ready","contacts":[{"contact_name":"Pierre-Alain Binz","contact_email":"Pierre-Alain.Binz@isb-sib.ch"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":442,"description":"This module identifies the minimum information required to report the use of protein and peptide identification and characterisation software to analyse the data produced by mass spectrometry experiments, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the work that generated it.","abbreviation":"MIAPE-MSI","support_links":[{"url":"http://www.psidev.info/groups/mass-spectrometry#discussionList","type":"Forum"},{"url":"psidev-ms-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"Psidev-pi-dev@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2008},"legacy_ids":["bsg-000608","bsg-s000608"],"name":"FAIRsharing record for: MIAPE: Mass Spectrometry Informatics","abbreviation":"MIAPE-MSI","url":"https://fairsharing.org/10.25504/FAIRsharing.mrrzb3","doi":"10.25504/FAIRsharing.mrrzb3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report the use of protein and peptide identification and characterisation software to analyse the data produced by mass spectrometry experiments, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the work that generated it.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11439},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12044}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","France","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":804,"pubmed_id":18688233,"title":"Guidelines for reporting the use of mass spectrometry informatics in proteomics.","year":2008,"url":"http://doi.org/10.1038/nbt0808-862","authors":"Binz PA,Barkovich R,Beavis RC,Creasy D,Horn DM,Julian RK Jr,Seymour SL,Taylor CF,Vandenbrouck Y","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-862","created_at":"2021-09-30T08:23:48.678Z","updated_at":"2021-09-30T08:23:48.678Z"}],"licence_links":[],"grants":[{"id":8915,"fairsharing_record_id":442,"organisation_id":2854,"relation":"associated_with","created_at":"2022-03-03T21:24:34.482Z","updated_at":"2022-03-03T22:17:28.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"associated_with"}},{"id":8917,"fairsharing_record_id":442,"organisation_id":646,"relation":"associated_with","created_at":"2022-03-03T21:24:34.572Z","updated_at":"2022-03-03T22:17:28.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":646,"name":"Database Integration Coordination Program from the National Bioscience Database Center","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8916,"fairsharing_record_id":442,"organisation_id":2071,"relation":"associated_with","created_at":"2022-03-03T21:24:34.516Z","updated_at":"2022-03-03T22:17:28.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8913,"fairsharing_record_id":442,"organisation_id":2380,"relation":"maintains","created_at":"2022-03-03T21:24:34.409Z","updated_at":"2022-03-03T22:17:28.157Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9197,"fairsharing_record_id":442,"organisation_id":1595,"relation":"associated_with","created_at":"2022-04-11T12:07:21.252Z","updated_at":"2022-04-11T12:07:21.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1VEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3260eee703537d5bbc99a0ac5fd4a4ed14665985/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"443","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T15:05:29.000Z","updated_at":"2023-10-03T09:53:41.458Z","metadata":{"doi":"10.25504/FAIRsharing.1j9m75","name":"MIAPE: Gel Informatics","status":"ready","contacts":[{"contact_name":"Andrew R Jones","contact_email":"andrew.jones@liv.ac.uk"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":443,"description":"This module identifies the minimum information required to report an informatics analysis performed with gel electrophoresis images, in a manner compliant with the aims as laid out in the ‘MIAPE Principles’ document.","abbreviation":"MIAPE-GI","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-000610","bsg-s000610"],"name":"FAIRsharing record for: MIAPE: Gel Informatics","abbreviation":"MIAPE-GI","url":"https://fairsharing.org/10.25504/FAIRsharing.1j9m75","doi":"10.25504/FAIRsharing.1j9m75","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report an informatics analysis performed with gel electrophoresis images, in a manner compliant with the aims as laid out in the ‘MIAPE Principles’ document.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11441},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12048}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Germany","Spain","Switzerland","United Kingdom","European Union"],"publications":[{"id":2004,"pubmed_id":20622830,"title":"Guidelines for reporting the use of gel image informatics in proteomics.","year":2010,"url":"http://doi.org/10.1038/nbt0710-655","authors":"Hoogland C,O'Gorman M,Bogard P,Gibson F,Berth M,Cockell SJ,Ekefjard A,Forsstrom-Olsson O,Kapferer A,Nilsson M,Martinez-Bartolome S,Albar JP,Echevarria-Zomeno S,Martinez-Gomariz M,Joets J,Binz PA,Taylor CF,Dowsey A,Jones AR","journal":"Nat Biotechnol","doi":"10.1038/nbt0710-655","created_at":"2021-09-30T08:26:05.665Z","updated_at":"2021-09-30T08:26:05.665Z"}],"licence_links":[],"grants":[{"id":5685,"fairsharing_record_id":443,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:35.858Z","updated_at":"2023-10-03T09:41:46.415Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1lEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3da788d794e62f04e90c0fbc1337b062fa48f039/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"444","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T08:55:09.976Z","metadata":{"doi":"10.25504/FAIRsharing.fpwvra","name":"Biological Observation Matrix Ontology","status":"deprecated","contacts":[{"contact_name":"Mikel Egaña Aranguren","contact_email":"mikel.egana@ehu.es"}],"homepage":"http://github.com/mikel-egana-aranguren/biom-ld","citations":[],"identifier":444,"description":"The BIOMO ontology maps the HDF5 based BIOM format (http://biom-format.org/) to OWL, offering a method to convert a BIOM file to RDF and therefore publish it as Linked Data","abbreviation":"BIOMO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIOMO","name":"BIOMO","portal":"BioPortal"}],"deprecation_date":"2022-07-19","deprecation_reason":"Although the homepage for this resource exists, the ontology has not been updated since 2014 and therefore should not be considered active. Please let us know if you have any information on this resource."},"legacy_ids":["bsg-000884","bsg-s000884"],"name":"FAIRsharing record for: Biological Observation Matrix Ontology","abbreviation":"BIOMO","url":"https://fairsharing.org/10.25504/FAIRsharing.fpwvra","doi":"10.25504/FAIRsharing.fpwvra","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BIOMO ontology maps the HDF5 based BIOM format (http://biom-format.org/) to OWL, offering a method to convert a BIOM file to RDF and therefore publish it as Linked Data","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16036}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Microbiome"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"445","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2024-01-25T15:35:09.899Z","metadata":{"doi":"10.25504/FAIRsharing.egv2cz","name":"Ontology for Genetic Susceptibility Factor","status":"deprecated","contacts":[{"contact_name":"Asiyah Yu Lin","contact_email":"linikujp@gmail.com","contact_orcid":"0000-0003-2620-0345"}],"homepage":"https://github.com/linikujp/OGSF","citations":[],"identifier":445,"description":"Ontology for Genetic Susceptibility Factor (OGSF) is an application ontology to model/represent the notion of genetic susceptibility to a specific disease or an adverse event or a pathological biological process. It is developed using BFO 2.0's framework. The ontology is under the domain of genetic epidemiology. OGSF is built from a combination of three ontologies: the Ontology of Geographical Region (OGR), the Ontology of Glucose Metabolism (OGMD), and the Ontology of Genetic Disease Investigations (OGDI). ","abbreviation":"OGSF","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php#ontology","name":"He Group Ontology page","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGSF","name":"OGSF","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogsf.html","name":"ogsf","portal":"OBO Foundry"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology is considered inactive by the OBO Foundry and as such we have deprecated this record (https://obofoundry.org/ontology/ogsf.html). Please get in touch with us if you have additional information."},"legacy_ids":["bsg-000750","bsg-s000750"],"name":"FAIRsharing record for: Ontology for Genetic Susceptibility Factor","abbreviation":"OGSF","url":"https://fairsharing.org/10.25504/FAIRsharing.egv2cz","doi":"10.25504/FAIRsharing.egv2cz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Genetic Susceptibility Factor (OGSF) is an application ontology to model/represent the notion of genetic susceptibility to a specific disease or an adverse event or a pathological biological process. It is developed using BFO 2.0's framework. The ontology is under the domain of genetic epidemiology. OGSF is built from a combination of three ontologies: the Ontology of Geographical Region (OGR), the Ontology of Glucose Metabolism (OGMD), and the Ontology of Genetic Disease Investigations (OGDI). ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12512}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Biomedical Science","Epidemiology"],"domains":["Adverse Reaction","Disease","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":449,"pubmed_id":24963371,"title":"The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-19","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-19","created_at":"2021-09-30T08:23:08.751Z","updated_at":"2021-09-30T08:23:08.751Z"},{"id":1699,"pubmed_id":20847592,"title":"Ontology driven modeling for the knowledge of genetic susceptibility to disease.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/20847592","authors":"Lin Y,Sakamoto N","journal":"Kobe J Med Sci","doi":null,"created_at":"2021-09-30T08:25:30.403Z","updated_at":"2021-09-30T08:25:30.403Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1461,"relation":"undefined"}],"grants":[{"id":5686,"fairsharing_record_id":445,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:35.882Z","updated_at":"2021-09-30T09:27:35.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"433","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T11:12:40.000Z","updated_at":"2023-01-11T09:29:58.762Z","metadata":{"doi":"10.25504/FAIRsharing.6a97fa","name":"Cadastre and Land Administration Thesaurus","status":"ready","contacts":[{"contact_name":"Erik Stubkjaer","contact_email":"est@plan.aau.dk"}],"homepage":"http://www.cadastralvocabulary.org/","identifier":433,"description":"The Cadastre and Land Administration Thesaurus (CaLAThe) is a thesaurus for the domain of cadastre and land administration. The domain regards the surveying and mapping of land, including the boundaries of land parcels, as performed by the profession of surveyors. From a public point of view, the domain provides the technical base for taxation of land and buildings, and for land use planning; from a private point of view, the domain supports security in ownership and other land-related rights. CaLAThe is hosted at the OGC Definitions Server.","abbreviation":"CaLAThe","support_links":[{"url":"volkan@yildiz.edu.tr","name":"Volkan Cagdas","type":"Support email"},{"url":"http://www.cadastralvocabulary.org/GeneralOverview/Version4intro.html","name":"About Version 4","type":"Help documentation"},{"url":"http://www.cadastralvocabulary.org/References.html","name":"References","type":"Help documentation"},{"url":"http://www.cadastralvocabulary.org/Aboutus.html","name":"About","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-001551","bsg-s001551"],"name":"FAIRsharing record for: Cadastre and Land Administration Thesaurus","abbreviation":"CaLAThe","url":"https://fairsharing.org/10.25504/FAIRsharing.6a97fa","doi":"10.25504/FAIRsharing.6a97fa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cadastre and Land Administration Thesaurus (CaLAThe) is a thesaurus for the domain of cadastre and land administration. The domain regards the surveying and mapping of land, including the boundaries of land parcels, as performed by the profession of surveyors. From a public point of view, the domain provides the technical base for taxation of land and buildings, and for land use planning; from a private point of view, the domain supports security in ownership and other land-related rights. CaLAThe is hosted at the OGC Definitions Server.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Urban Planning","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Survey"],"countries":["Denmark","Turkey"],"publications":[{"id":3087,"pubmed_id":null,"title":"A SKOS vocabulary for Linked Land Administration: Cadastre and Land Administration Thesaurus","year":2015,"url":"https://doi.org/10.1016/j.landusepol.2014.12.017","authors":"Volkan Çağdaş, Erik Stubkjær","journal":"Land Use Policy","doi":null,"created_at":"2021-09-30T08:28:20.359Z","updated_at":"2021-09-30T08:28:20.359Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2226,"relation":"undefined"}],"grants":[{"id":5661,"fairsharing_record_id":433,"organisation_id":735,"relation":"maintains","created_at":"2021-09-30T09:27:35.108Z","updated_at":"2021-09-30T09:27:35.108Z","grant_id":null,"is_lead":true,"saved_state":{"id":735,"name":"Department of Planning, Aalborg University, Denmark","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5660,"fairsharing_record_id":433,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:35.075Z","updated_at":"2021-09-30T09:27:35.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5662,"fairsharing_record_id":433,"organisation_id":715,"relation":"maintains","created_at":"2021-09-30T09:27:35.145Z","updated_at":"2021-09-30T09:27:35.145Z","grant_id":null,"is_lead":true,"saved_state":{"id":715,"name":"Department of Geomatic Engineering, Yildiz Technical University, Turkey","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"434","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-15T10:50:40.451Z","metadata":{"doi":"10.25504/FAIRsharing.50n9hc","name":"CellML","status":"ready","homepage":"http://www.cellml.org","citations":[],"identifier":434,"description":"CellML language is an open standard based on the XML markup language. CellML is being developed by the Auckland Bioengineering Institute at the University of Auckland and affiliated research groups. The purpose of CellML is to store and exchange computer-based mathematical models. CellML allows scientists to share models even if they are using different model-building software. It also enables them to reuse components from one model in another, thus accelerating model building.","abbreviation":"CellML","support_links":[{"url":"https://www.cellml.org/about/contact","type":"Contact form"},{"url":"https://lists.cellml.org/sympa/info/cellml-discussion","name":"CellML Discussion mailing list","type":"Mailing list"},{"url":"http://www.cellml.org/specifications","type":"Help documentation"}],"year_creation":2001,"associated_tools":[{"url":"https://www.cellml.org/tools","name":"CellML tools"}]},"legacy_ids":["bsg-000050","bsg-s000050"],"name":"FAIRsharing record for: CellML","abbreviation":"CellML","url":"https://fairsharing.org/10.25504/FAIRsharing.50n9hc","doi":"10.25504/FAIRsharing.50n9hc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CellML language is an open standard based on the XML markup language. CellML is being developed by the Auckland Bioengineering Institute at the University of Auckland and affiliated research groups. The purpose of CellML is to store and exchange computer-based mathematical models. CellML allows scientists to share models even if they are using different model-building software. It also enables them to reuse components from one model in another, thus accelerating model building.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10845},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11136},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11875},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11917},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12193},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16898}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Physiology"],"domains":["Mathematical model","Cell","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":913,"pubmed_id":15142756,"title":"CellML: its future, present and past.","year":2004,"url":"http://doi.org/10.1016/j.pbiomolbio.2004.01.004","authors":"Lloyd CM,Halstead MD,Nielsen PF","journal":"Prog Biophys Mol Biol","doi":"10.1016/j.pbiomolbio.2004.01.004","created_at":"2021-09-30T08:24:00.829Z","updated_at":"2021-09-30T08:24:00.829Z"},{"id":1980,"pubmed_id":25610400,"title":"Cellular cardiac electrophysiology modeling with Chaste and CellML.","year":2015,"url":"http://doi.org/10.3389/fphys.2014.00511","authors":"Cooper J,Spiteri RJ,Mirams GR","journal":"Front Physiol","doi":"10.3389/fphys.2014.00511","created_at":"2021-09-30T08:26:02.790Z","updated_at":"2021-09-30T08:26:02.790Z"},{"id":2236,"pubmed_id":26528558,"title":"The CellML Metadata Framework 2.0 Specification.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-260","authors":"Cooling MT,Hunter P","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-260","created_at":"2021-09-30T08:26:31.974Z","updated_at":"2021-09-30T08:26:31.974Z"},{"id":2265,"pubmed_id":25705192,"title":"OpenCOR: a modular and interoperable approach to computational biology.","year":2015,"url":"http://doi.org/10.3389/fphys.2015.00026","authors":"Garny A,Hunter PJ","journal":"Front Physiol","doi":"10.3389/fphys.2015.00026","created_at":"2021-09-30T08:26:35.623Z","updated_at":"2021-09-30T08:26:35.623Z"},{"id":2288,"pubmed_id":26528557,"title":"The CellML 1.1 Specification.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-259","authors":"Cuellar A,Hedley W,Nelson M,Lloyd C,Halstead M,Bullivant D,Nickerson D,Hunter P,Nielsen P","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-259","created_at":"2021-09-30T08:26:38.835Z","updated_at":"2021-09-30T08:26:38.835Z"},{"id":2310,"pubmed_id":26716837,"title":"Semantics-Based Composition of Integrated Cardiomyocyte Models Motivated by Real-World Use Cases.","year":2015,"url":"http://doi.org/10.1371/journal.pone.0145621","authors":"Neal ML,Carlson BE,Thompson CT,James RC,Kim KG,Tran K,Crampin EJ,Cook DL,Gennari JH","journal":"PLoS One","doi":"10.1371/journal.pone.0145621","created_at":"2021-09-30T08:26:43.394Z","updated_at":"2021-09-30T08:26:43.394Z"},{"id":2345,"pubmed_id":26721671,"title":"Myokit: A simple interface to cardiac cellular electrophysiology.","year":2016,"url":"http://doi.org/10.1016/j.pbiomolbio.2015.12.008","authors":"Clerx M,Collins P,de Lange E,Volders PG","journal":"Prog Biophys Mol Biol","doi":"S0079-6107(15)00257-6","created_at":"2021-09-30T08:26:48.168Z","updated_at":"2021-09-30T08:26:48.168Z"},{"id":2436,"pubmed_id":25601911,"title":"Using CellML with OpenCMISS to Simulate Multi-Scale Physiology.","year":2015,"url":"http://doi.org/10.3389/fbioe.2014.00079","authors":"Nickerson DP,Ladd D,Hussan JR,Safaei S,Suresh V,Hunter PJ,Bradley CP","journal":"Front Bioeng Biotechnol","doi":"10.3389/fbioe.2014.00079","created_at":"2021-09-30T08:26:58.886Z","updated_at":"2021-09-30T08:26:58.886Z"},{"id":2437,"pubmed_id":26789753,"title":"The Cardiac Electrophysiology Web Lab.","year":2016,"url":"http://doi.org/S0006-3495(15)04753-0","authors":"Cooper J,Scharm M,Mirams GR","journal":"Biophys J","doi":"10.1016/j.bpj.2015.12.012","created_at":"2021-09-30T08:26:59.003Z","updated_at":"2021-09-30T08:26:59.003Z"},{"id":4047,"pubmed_id":32759406,"title":"CellML 2.0.","year":2020,"url":"https://doi.org/10.1515/jib-2020-0021","authors":"Clerx M, Cooling MT, Cooper J, Garny A, Moyle K, Nickerson DP, Nielsen PMF, Sorby H","journal":"Journal of integrative bioinformatics","doi":"10.1515/jib-2020-0021","created_at":"2023-11-15T10:27:24.652Z","updated_at":"2023-11-15T10:27:24.652Z"},{"id":4048,"pubmed_id":null,"title":"CellML 2.0.1","year":2023,"url":"http://dx.doi.org/10.1515/jib-2023-0003","authors":"Clerx, Michael; Cooling, Michael T.; Cooper, Jonathan; Garny, Alan; Moyle, Keri; Nickerson, David P.; Nielsen, Poul M. F.; Sorby, Hugh; ","journal":"Journal of Integrative Bioinformatics","doi":"10.1515/jib-2023-0003","created_at":"2023-11-15T10:29:05.539Z","updated_at":"2023-11-15T10:29:05.539Z"}],"licence_links":[],"grants":[{"id":5664,"fairsharing_record_id":434,"organisation_id":3192,"relation":"funds","created_at":"2021-09-30T09:27:35.229Z","updated_at":"2021-09-30T09:27:35.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":3192,"name":"Virtual Physiological Human Network of Excellence","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5667,"fairsharing_record_id":434,"organisation_id":2203,"relation":"funds","created_at":"2021-09-30T09:27:35.323Z","updated_at":"2021-09-30T09:27:35.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":2203,"name":"NZIMA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5669,"fairsharing_record_id":434,"organisation_id":397,"relation":"maintains","created_at":"2021-09-30T09:27:35.387Z","updated_at":"2021-09-30T09:27:35.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":397,"name":"CellML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5663,"fairsharing_record_id":434,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:35.186Z","updated_at":"2021-09-30T09:27:35.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5665,"fairsharing_record_id":434,"organisation_id":2324,"relation":"funds","created_at":"2021-09-30T09:27:35.266Z","updated_at":"2021-09-30T09:27:35.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":2324,"name":"Physiome Project","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5666,"fairsharing_record_id":434,"organisation_id":2138,"relation":"funds","created_at":"2021-09-30T09:27:35.299Z","updated_at":"2021-09-30T09:27:35.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":2138,"name":"@neurIST, Center for Computational and Simulation Technologies in Biomedicine, Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":5668,"fairsharing_record_id":434,"organisation_id":1037,"relation":"funds","created_at":"2021-09-30T09:27:35.350Z","updated_at":"2021-09-30T09:27:35.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":1037,"name":"FoRST, New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5670,"fairsharing_record_id":434,"organisation_id":1775,"relation":"funds","created_at":"2021-09-30T09:27:35.425Z","updated_at":"2021-09-30T09:27:35.425Z","grant_id":null,"is_lead":false,"saved_state":{"id":1775,"name":"Maurice Wilkins Center for Molecular Biodiscovery, Auckland, New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"435","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.072Z","metadata":{"doi":"10.25504/FAIRsharing.mtmsgm","name":"Cereal Plant Gross Anatomy Ontology","status":"uncertain","contacts":[{"contact_name":"General Enquiries","contact_email":"po-discuss@plantontology.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/1001","identifier":435,"description":"Cereal plant gross anatomy is a structured controlled vocabulary for the anatomy of Gramineae. Please note that this ontology has now been superseded by the Plant Ontology.","abbreviation":"GRO CPGA","year_creation":2012,"cross_references":[{"url":"http://www.obofoundry.org/ontology/gro.html","name":"gro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002631","bsg-s002631"],"name":"FAIRsharing record for: Cereal Plant Gross Anatomy Ontology","abbreviation":"GRO CPGA","url":"https://fairsharing.org/10.25504/FAIRsharing.mtmsgm","doi":"10.25504/FAIRsharing.mtmsgm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cereal plant gross anatomy is a structured controlled vocabulary for the anatomy of Gramineae. Please note that this ontology has now been superseded by the Plant Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Morphology","Structure"],"taxonomies":["Gramineae","Poaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5673,"fairsharing_record_id":435,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:35.535Z","updated_at":"2021-09-30T09:27:35.535Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5671,"fairsharing_record_id":435,"organisation_id":2332,"relation":"maintains","created_at":"2021-09-30T09:27:35.458Z","updated_at":"2021-09-30T09:27:35.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":2332,"name":"Plant Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5672,"fairsharing_record_id":435,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:35.495Z","updated_at":"2021-09-30T09:27:35.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5674,"fairsharing_record_id":435,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:27:35.567Z","updated_at":"2021-09-30T09:27:35.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"438","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T08:59:47.096Z","metadata":{"doi":"10.25504/FAIRsharing.tn873z","name":"INSD sequence record XML","status":"ready","homepage":"http://www.insdc.org/documents/xml-status","identifier":438,"description":"The International Nucleotide Sequence Database Collaboration (INSDC) is a long-standing foundational initiative that operates between DDBJ, EMBL-EBI and NCBI. INSDC covers the spectrum of data raw reads, though alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. The INSDSeq is the official supported XML format of the International Nucleotide Sequence Database Collaboration (INSDC). The current production version of the XML is INSDSeq v1.5.","abbreviation":"INSDSeq","support_links":[{"url":"http://www.insdc.org/documents","name":"INSDC Documents","type":"Help documentation"}],"year_creation":1988},"legacy_ids":["bsg-000240","bsg-s000240"],"name":"FAIRsharing record for: INSD sequence record XML","abbreviation":"INSDSeq","url":"https://fairsharing.org/10.25504/FAIRsharing.tn873z","doi":"10.25504/FAIRsharing.tn873z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Nucleotide Sequence Database Collaboration (INSDC) is a long-standing foundational initiative that operates between DDBJ, EMBL-EBI and NCBI. INSDC covers the spectrum of data raw reads, though alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. The INSDSeq is the official supported XML format of the International Nucleotide Sequence Database Collaboration (INSDC). The current production version of the XML is INSDSeq v1.5.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","France","Greece","Japan","United Kingdom","United States"],"publications":[{"id":1565,"pubmed_id":27169596,"title":"Reminder to deposit DNA sequences.","year":2016,"url":"http://doi.org/10.1126/science.aaf7672","authors":"Blaxter M,Danchin A,Savakis B,Fukami-Kobayashi K,Kurokawa K,Sugano S,Roberts RJ,Salzberg SL,Wu CI","journal":"Science","doi":"10.1126/science.aaf7672","created_at":"2021-09-30T08:25:15.486Z","updated_at":"2021-09-30T08:25:15.486Z"},{"id":1566,"pubmed_id":27172038,"title":"Databases: Reminder to deposit DNA sequences.","year":2016,"url":"http://doi.org/10.1038/533179a","authors":"Salzberg SL","journal":"Nature","doi":"10.1038/533179a","created_at":"2021-09-30T08:25:15.592Z","updated_at":"2021-09-30T08:25:15.592Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":702,"relation":"undefined"},{"licence_name":"International Nucleotide Sequence Database Collaboration Policy","licence_id":446,"licence_url":"http://www.insdc.org/policy.html","link_id":1255,"relation":"undefined"}],"grants":[{"id":5677,"fairsharing_record_id":438,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:35.648Z","updated_at":"2021-09-30T09:27:35.648Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5678,"fairsharing_record_id":438,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:35.673Z","updated_at":"2021-09-30T09:27:35.673Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5680,"fairsharing_record_id":438,"organisation_id":2019,"relation":"maintains","created_at":"2021-09-30T09:27:35.723Z","updated_at":"2021-09-30T09:27:35.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9231,"fairsharing_record_id":438,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.064Z","updated_at":"2022-04-11T12:07:24.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"439","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-01-08T11:21:03.681Z","metadata":{"doi":"10.25504/FAIRsharing.k2dq5j","name":"Asthma Ontology","status":"ready","contacts":[{"contact_email":"harshana.liyanage@phc.ox.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/AO","citations":[],"identifier":439,"description":"An ontology which describes the medical terminology for asthmatic conditions.","abbreviation":"AO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AO","name":"AO","portal":"BioPortal"}]},"legacy_ids":["bsg-000866","bsg-s000866"],"name":"FAIRsharing record for: Asthma Ontology","abbreviation":"AO","url":"https://fairsharing.org/10.25504/FAIRsharing.k2dq5j","doi":"10.25504/FAIRsharing.k2dq5j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology which describes the medical terminology for asthmatic conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1142,"pubmed_id":30679295,"title":"Determinants of inter-practice variation in childhood asthma and respiratory infections: cross-sectional study of a national sentinel network.","year":2019,"url":"http://doi.org/10.1136/bmjopen-2018-024372","authors":"Hoang U,Liyanage H,Coyle R,Godden C,Jones S,Blair M,Rigby M,de Lusignan S","journal":"BMJ Open","doi":"10.1136/bmjopen-2018-024372","created_at":"2021-09-30T08:24:26.924Z","updated_at":"2021-09-30T08:24:26.924Z"}],"licence_links":[],"grants":[{"id":5681,"fairsharing_record_id":439,"organisation_id":541,"relation":"maintains","created_at":"2021-09-30T09:27:35.748Z","updated_at":"2021-09-30T09:27:35.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":541,"name":"Clinical Informatics \u0026 Health Outcomes Research Group, University of Surrey, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"441","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T11:20:23.039Z","metadata":{"doi":"10.25504/FAIRsharing.hakg7c","name":"Plant Phenology Ontology","status":"ready","contacts":[{"contact_name":"Brian Stucky","contact_email":"stuckyb@flmnh.ufl.edu"}],"homepage":"https://github.com/PlantPhenoOntology/PPO","citations":[{"doi":"10.3389/fpls.2018.00517","pubmed_id":29765382,"publication_id":2687}],"identifier":441,"description":"An ontology for describing the phenology of individual plants and populations of plants, and for integrating plant phenological data across sources and scales.","abbreviation":"PPO","support_links":[{"url":"https://github.com/PlantPhenoOntology/PPO/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"ppo-discuss@googlegroups.com","name":"PPO Discussion Mailing List","type":"Mailing list"},{"url":"https://github.com/PlantPhenoOntology/ppo/raw/master/documentation/ppo.pdf","name":"Ontology structure, entity relationships, and entity definitions","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PPO","name":"PPO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ppo.html","name":"ppo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001032","bsg-s001032"],"name":"FAIRsharing record for: Plant Phenology Ontology","abbreviation":"PPO","url":"https://fairsharing.org/10.25504/FAIRsharing.hakg7c","doi":"10.25504/FAIRsharing.hakg7c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing the phenology of individual plants and populations of plants, and for integrating plant phenological data across sources and scales.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Phenotype","Life cycle"],"taxonomies":["Viridiplantae"],"user_defined_tags":["Phenology"],"countries":["Sweden","United States"],"publications":[{"id":2687,"pubmed_id":29765382,"title":"The Plant Phenology Ontology: A New Informatics Resource for Large-Scale Integration of Plant Phenology Data.","year":2018,"url":"http://doi.org/10.3389/fpls.2018.00517","authors":"Stucky BJ,Guralnick R,Deck J,Denny EG,Bolmgren K,Walls R","journal":"Front Plant Sci","doi":"10.3389/fpls.2018.00517","created_at":"2021-09-30T08:27:30.080Z","updated_at":"2021-09-30T08:27:30.080Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1645,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"429","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2021-11-24T13:14:20.268Z","metadata":{"doi":"10.25504/FAIRsharing.q5xf99","name":"COPD Ontology","status":"ready","contacts":[{"contact_name":"Harshana Liyanage","contact_email":"harshana.liyanage@phc.ox.ac.uk"}],"homepage":"https://clininf.eu","identifier":429,"description":"The COPD Ontology is a biomedical ontology used for modelling concepts associated to chronic obstructive pulmonary disease in routine clinical databases. There are a no plans to revise this ontology in the near future and therefore the version shown in the BioPortal link should be considered the final version.","abbreviation":"COPDO","support_links":[{"url":"simon.delusignan@phc.ox.ac.uk","name":"Simon de Lusignan","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COPDO","name":"COPDO","portal":"BioPortal"}]},"legacy_ids":["bsg-000951","bsg-s000951"],"name":"FAIRsharing record for: COPD Ontology","abbreviation":"COPDO","url":"https://fairsharing.org/10.25504/FAIRsharing.q5xf99","doi":"10.25504/FAIRsharing.q5xf99","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COPD Ontology is a biomedical ontology used for modelling concepts associated to chronic obstructive pulmonary disease in routine clinical databases. There are a no plans to revise this ontology in the near future and therefore the version shown in the BioPortal link should be considered the final version.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12524}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5654,"fairsharing_record_id":429,"organisation_id":541,"relation":"maintains","created_at":"2021-09-30T09:27:34.812Z","updated_at":"2021-09-30T09:27:34.812Z","grant_id":null,"is_lead":false,"saved_state":{"id":541,"name":"Clinical Informatics \u0026 Health Outcomes Research Group, University of Surrey, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"430","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T15:17:43.000Z","updated_at":"2024-03-06T11:54:03.812Z","metadata":{"doi":"10.25504/FAIRsharing.53edcc","name":"MAP","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#map","identifier":430,"description":"Variant information file accompanying a .ped text pedigree + genotype table.","abbreviation":"MAP"},"legacy_ids":["bsg-001482","bsg-s001482"],"name":"FAIRsharing record for: MAP","abbreviation":"MAP","url":"https://fairsharing.org/10.25504/FAIRsharing.53edcc","doi":"10.25504/FAIRsharing.53edcc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Variant information file accompanying a .ped text pedigree + genotype table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Virology","Life Science","Epidemiology"],"domains":["Chromosome","Sequence variant"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"431","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:06:23.573Z","metadata":{"doi":"10.25504/FAIRsharing.rvz0m9","name":"Ontology for General Medical Science","status":"ready","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"rscheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"https://github.com/OGMS/ogms","citations":[],"identifier":431,"description":"The Ontology for General Medical Science (OGMS) is an ontology of entities involved in a clinical encounter. OGMS includes very general terms that are used across medical disciplines, including: 'disease', 'disorder', 'disease course', 'diagnosis', 'patient', and 'healthcare provider'. The scope of OGMS is restricted to humans, but many terms can be applied to a variety of organisms. OGMS provides a formal theory of disease that can be further elaborated by specific disease ontologies.","abbreviation":"OGMS","support_links":[{"url":"https://github.com/OGMS/ogms/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://groups.google.com/group/ogms-discuss","name":"Google Group","type":"Forum"},{"url":"https://drive.google.com/drive/folders/1pSAYgVJHUxIZ0ZlxYbA4gGql8JKvETh4","name":"Meeting notes","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGMS","name":"OGMS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogms.html","name":"ogms","portal":"OBO Foundry"},{"url":"https://code.google.com/archive/p/ogms/","name":"Google Code Archive","portal":"Other"}]},"legacy_ids":["bsg-000115","bsg-s000115"],"name":"FAIRsharing record for: Ontology for General Medical Science","abbreviation":"OGMS","url":"https://fairsharing.org/10.25504/FAIRsharing.rvz0m9","doi":"10.25504/FAIRsharing.rvz0m9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for General Medical Science (OGMS) is an ontology of entities involved in a clinical encounter. OGMS includes very general terms that are used across medical disciplines, including: 'disease', 'disorder', 'disease course', 'diagnosis', 'patient', and 'healthcare provider'. The scope of OGMS is restricted to humans, but many terms can be applied to a variety of organisms. OGMS provides a formal theory of disease that can be further elaborated by specific disease ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11948},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16996}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science"],"domains":["Cancer","Disease phenotype","Disease","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1030,"pubmed_id":24314207,"title":"The neurological disease ontology.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-42","authors":"Jensen M,Cox AP,Chaudhry N,Ng M,Sule D,Duncan W,Ray P,Weinstock-Guttman B,Smith B,Ruttenberg A,Szigeti K,Diehl AD","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-42","created_at":"2021-09-30T08:24:14.073Z","updated_at":"2021-09-30T08:24:14.073Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":320,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"426","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:20.205Z","metadata":{"doi":"10.25504/FAIRsharing.pbbnwa","name":"Orphanet Rare Diseases Ontology","status":"ready","contacts":[{"contact_name":"Ana Rath","contact_email":"ordo.orphanet@inserm.fr","contact_orcid":"0000-0003-4308-6337"}],"homepage":"http://www.orphadata.org/cgi-bin/inc/ordo_orphanet.inc.php","identifier":426,"description":"Orphanet Rare Diseases Ontology (ORDO) provide a structured vocabulary for rare diseases capturing relationships between diseases, genes and other relevant features which will form a useful resource for the computational analysis of rare diseases.","abbreviation":"ORDO","support_links":[{"url":"https://listes.inserm.fr/sympa/subscribe/ordo-users.orphanet","name":"ORDO users mailing list","type":"Mailing list"},{"url":"http://www.orphadata.org/cgi-bin/inc/ordo_orphanet.inc.php","name":"Information and release notes","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ORDO","name":"ORDO","portal":"BioPortal"}]},"legacy_ids":["bsg-002716","bsg-s002716"],"name":"FAIRsharing record for: Orphanet Rare Diseases Ontology","abbreviation":"ORDO","url":"https://fairsharing.org/10.25504/FAIRsharing.pbbnwa","doi":"10.25504/FAIRsharing.pbbnwa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Orphanet Rare Diseases Ontology (ORDO) provide a structured vocabulary for rare diseases capturing relationships between diseases, genes and other relevant features which will form a useful resource for the computational analysis of rare diseases.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18251},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12028},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16975}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science"],"domains":["Rare disease","Phenotype","Disease","Diagnosis","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","European Union"],"publications":[{"id":2125,"pubmed_id":22874158,"title":"Rare diseases knowledge management: the contribution of proximity measurements in OntoOrpha and OMIM.","year":2012,"url":"https://www.ncbi.nlm.nih.gov/pubmed/22874158","authors":"Aime X,Charlet J,Furst F,Kuntz P,Trichet F,Dhombres F","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:26:19.565Z","updated_at":"2021-09-30T08:26:19.565Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":120,"relation":"undefined"}],"grants":[{"id":5649,"fairsharing_record_id":426,"organisation_id":2276,"relation":"maintains","created_at":"2021-09-30T09:27:34.603Z","updated_at":"2021-09-30T09:27:34.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":2276,"name":"Orphadata","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5647,"fairsharing_record_id":426,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:27:34.547Z","updated_at":"2021-09-30T09:27:34.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5648,"fairsharing_record_id":426,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:27:34.572Z","updated_at":"2021-09-30T09:27:34.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"427","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T13:19:22.000Z","updated_at":"2023-06-21T09:13:21.985Z","metadata":{"doi":"10.25504/FAIRsharing.820ef3","name":"GenePix Results Format","status":"ready","contacts":[{"contact_name":"General Contact Europe","contact_email":"infoboxeu@moldev.com"}],"homepage":"https://support.moleculardevices.com/s/article/GenePix-File-Formats#gpr","citations":[],"identifier":427,"description":"The GenePix Results Format (GPR) contains general information about microarray image acquisition and analysis, as well as the data extracted from each individual feature. It was originally developed as the output format for GenePix software.","abbreviation":"GPR","support_links":[{"url":"techsupport.eu@moldev.com","name":"Technical Support Europe","type":"Support email"},{"url":"https://support.moleculardevices.com/s/article/GenePix-Pro-Results-File-Format-History","name":"GPR Format History","type":"Help documentation"}]},"legacy_ids":["bsg-001589","bsg-s001589"],"name":"FAIRsharing record for: GenePix Results Format","abbreviation":"GPR","url":"https://fairsharing.org/10.25504/FAIRsharing.820ef3","doi":"10.25504/FAIRsharing.820ef3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GenePix Results Format (GPR) contains general information about microarray image acquisition and analysis, as well as the data extracted from each individual feature. It was originally developed as the output format for GenePix software.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12137}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genetics","Life Science","Digital Image Processing"],"domains":["Expression data","Image","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5650,"fairsharing_record_id":427,"organisation_id":1888,"relation":"maintains","created_at":"2021-09-30T09:27:34.658Z","updated_at":"2021-09-30T09:27:34.658Z","grant_id":null,"is_lead":true,"saved_state":{"id":1888,"name":"Molecular Devices LLC, San Jose, CA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"428","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-30T15:43:49.672Z","metadata":{"doi":"10.25504/FAIRsharing.vajn3f","name":"Rat Strain Ontology","status":"ready","contacts":[{"contact_name":"Rajni Nigam","contact_email":"rnigam@mcw.edu"}],"homepage":"http://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=RS:0000457","citations":[],"identifier":428,"description":"This ontology defines the hierarchical display of the different rat strains as derived from the parental strains.","abbreviation":"RS","support_links":[{"url":"https://rgd.mcw.edu/wg/help3/data/ontologies/","name":"About Ontologies","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RS","name":"RS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/rs.html","name":"rs","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002625","bsg-s002625"],"name":"FAIRsharing record for: Rat Strain Ontology","abbreviation":"RS","url":"https://fairsharing.org/10.25504/FAIRsharing.vajn3f","doi":"10.25504/FAIRsharing.vajn3f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology defines the hierarchical display of the different rat strains as derived from the parental strains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Mutation","Genetic strain"],"taxonomies":["Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":906,"pubmed_id":23603846,"title":"PhenoMiner: quantitative phenotype curation at the rat genome database.","year":2013,"url":"http://doi.org/10.1093/database/bat015","authors":"Laulederkind SJ,Liu W,Smith JR,Hayman GT,Wang SJ,Nigam R,Petri V,Lowry TF,de Pons J,Dwinell MR,Shimoyama M","journal":"Database (Oxford)","doi":"10.1093/database/bat015","created_at":"2021-09-30T08:24:00.037Z","updated_at":"2021-09-30T08:24:00.037Z"},{"id":1735,"pubmed_id":24267899,"title":"Rat Strain Ontology: structured controlled vocabulary designed to facilitate access to strain data at RGD.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-36","authors":"Nigam R,Munzenmaier DH,Worthey EA,Dwinell MR,Shimoyama M,Jacob HJ","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-36","created_at":"2021-09-30T08:25:34.670Z","updated_at":"2021-09-30T08:25:34.670Z"}],"licence_links":[],"grants":[{"id":5652,"fairsharing_record_id":428,"organisation_id":2468,"relation":"maintains","created_at":"2021-09-30T09:27:34.736Z","updated_at":"2021-09-30T09:27:34.736Z","grant_id":null,"is_lead":false,"saved_state":{"id":2468,"name":"RS Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5651,"fairsharing_record_id":428,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:27:34.695Z","updated_at":"2021-09-30T09:27:34.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5653,"fairsharing_record_id":428,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:34.774Z","updated_at":"2021-09-30T09:31:21.234Z","grant_id":1131,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HL64541","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"436","type":"fairsharing_records","attributes":{"created_at":"2015-06-25T15:00:55.000Z","updated_at":"2022-07-20T11:25:33.950Z","metadata":{"doi":"10.25504/FAIRsharing.rk682s","name":"BioProject XML Schema","status":"ready","contacts":[{"contact_name":"BioProject Help","contact_email":"bioprojecthelp@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/data_specs/schema/other/bioproject/","identifier":436,"description":"This is a XML Schema specification of BioProject data. A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project.","abbreviation":null,"support_links":[{"url":"barrett@ncbi.nlm.nih.gov","name":"Tanya Barrett","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/bioproject/docs/faq/","name":"BioProject FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK54016","name":"NCBI Help Manual: BioProject","type":"Help documentation"}]},"legacy_ids":["bsg-000598","bsg-s000598"],"name":"FAIRsharing record for: BioProject XML Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.rk682s","doi":"10.25504/FAIRsharing.rk682s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a XML Schema specification of BioProject data. A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11201}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Annotation","Genomic assembly","Sequencing","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":514,"pubmed_id":22139929,"title":"BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1163","authors":"Barrett T,Clark K,Gevorgyan R,Gorelenkov V,Gribov E,Karsch-Mizrachi I,Kimelman M,Pruitt KD,Resenchuk S,Tatusova T,Yaschenko E,Ostell J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1163","created_at":"2021-09-30T08:23:16.098Z","updated_at":"2021-09-30T11:28:46.975Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":794,"relation":"undefined"}],"grants":[{"id":5675,"fairsharing_record_id":436,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:35.599Z","updated_at":"2021-09-30T09:27:35.599Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"437","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-07-20T12:33:26.738Z","metadata":{"doi":"10.25504/FAIRsharing.ckd4rf","name":"Alzheimer's Disease Ontology","status":"ready","contacts":[{"contact_name":"Martin Hofmann-Apitius","contact_email":"martin.hofmann-apitius@scai.fraunhofer.de"}],"homepage":"https://bioportal.bioontology.org/ontologies/ADO","identifier":437,"description":"The Alzheimer's Disease Ontology (ADO) is an ontology representing relevant knowledge on Alzheimer’s disease. ADO was developed with the purpose of containing information relevant to four main biological views—preclinical, clinical, etiological, and molecular/cellular mechanisms—and contains synonyms and references.","abbreviation":"ADO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ADO","name":"ADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000871","bsg-s000871"],"name":"FAIRsharing record for: Alzheimer's Disease Ontology","abbreviation":"ADO","url":"https://fairsharing.org/10.25504/FAIRsharing.ckd4rf","doi":"10.25504/FAIRsharing.ckd4rf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Alzheimer's Disease Ontology (ADO) is an ontology representing relevant knowledge on Alzheimer’s disease. ADO was developed with the purpose of containing information relevant to four main biological views—preclinical, clinical, etiological, and molecular/cellular mechanisms—and contains synonyms and references.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12232}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Alzheimer’s disease"],"countries":["Germany"],"publications":[{"id":2576,"pubmed_id":23830913,"title":"ADO: a disease ontology representing the domain knowledge specific to Alzheimer's disease.","year":2013,"url":"http://doi.org/10.1016/j.jalz.2013.02.009","authors":"Malhotra A,Younesi E,Gundel M,Muller B,Heneka MT,Hofmann-Apitius M","journal":"Alzheimers Dement","doi":"10.1016/j.jalz.2013.02.009","created_at":"2021-09-30T08:27:15.954Z","updated_at":"2021-09-30T08:27:15.954Z"}],"licence_links":[],"grants":[{"id":5676,"fairsharing_record_id":437,"organisation_id":1048,"relation":"maintains","created_at":"2021-09-30T09:27:35.623Z","updated_at":"2021-09-30T09:27:35.623Z","grant_id":null,"is_lead":true,"saved_state":{"id":1048,"name":"Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"547","type":"fairsharing_records","attributes":{"created_at":"2020-01-08T20:11:29.000Z","updated_at":"2023-12-01T08:26:05.284Z","metadata":{"name":"Animal Diseases Ontology","status":"deprecated","contacts":[{"contact_name":"Sophie Aubin","contact_email":"sophie.aubin@inra.fr"}],"homepage":"https://doi.org/10.15454/1.44525654526207E12","citations":[],"identifier":547,"description":"The Animal Diseases Ontology (ANDO) includes information on diseases of production animals and their related pathogenic agents in French and English.","abbreviation":"ANDO","year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This homepage for this resource no longer exists, and therefore this record has been deprecated. Please let us know if you have information regarding ANDO."},"legacy_ids":["bsg-001428","bsg-s001428"],"name":"FAIRsharing record for: Animal Diseases Ontology","abbreviation":"ANDO","url":"https://fairsharing.org/fairsharing_records/547","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Animal Diseases Ontology (ANDO) includes information on diseases of production animals and their related pathogenic agents in French and English.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Husbandry","Veterinary Medicine","Pathology"],"domains":["Disease"],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":208,"relation":"undefined"}],"grants":[{"id":5854,"fairsharing_record_id":547,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:41.037Z","updated_at":"2021-09-30T09:27:41.037Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"548","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T13:08:22.319Z","metadata":{"doi":"10.25504/FAIRsharing.95n1ns","name":"National Agricultural Library Thesaurus","status":"ready","contacts":[{"contact_name":"NALT Helpdesk","contact_email":"AgRefQuestion@libraryresearch.info"}],"homepage":"https://agclass.nal.usda.gov/","identifier":548,"description":"The National Agricultural Library Thesaurus (NALT) is an online vocabulary of agricultural terms in English and Spanish. The Agricultural Thesaurus and Glossary were first released by the National Agricultural Library in 2002. In 2007, NAL and the Inter-American Institute for Cooperation on Agriculture (IICA) collaborated to develop the Spanish version of the NAL Agricultural Thesaurus and Glossary, named Tesauro Agricola y Glosario. The thesaurus is primarily used for indexing and for improving retrieval of agricultural information. The subject scope of agriculture is broadly defined in the thesaurus, and includes terminology in the supporting biological, physical and social sciences. Biological nomenclature comprises a majority of the terms in the thesaurus, with political geography mainly described at the country level.","abbreviation":"NALT","support_links":[{"url":"https://agclass.nal.usda.gov/contact.shtml","name":"Contact Page","type":"Contact form"},{"url":"sujata.suri@ars.usda.gov","name":"sujata.suri@ars.usda.gov","type":"Support email"},{"url":"https://agclass.nal.usda.gov/help.shtml","name":"Help Page","type":"Help documentation"},{"url":"https://agclass.nal.usda.gov/about.shtml","name":"About NALT","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-001121","bsg-s001121"],"name":"FAIRsharing record for: National Agricultural Library Thesaurus","abbreviation":"NALT","url":"https://fairsharing.org/10.25504/FAIRsharing.95n1ns","doi":"10.25504/FAIRsharing.95n1ns","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Agricultural Library Thesaurus (NALT) is an online vocabulary of agricultural terms in English and Spanish. The Agricultural Thesaurus and Glossary were first released by the National Agricultural Library in 2002. In 2007, NAL and the Inter-American Institute for Cooperation on Agriculture (IICA) collaborated to develop the Spanish version of the NAL Agricultural Thesaurus and Glossary, named Tesauro Agricola y Glosario. The thesaurus is primarily used for indexing and for improving retrieval of agricultural information. The subject scope of agriculture is broadly defined in the thesaurus, and includes terminology in the supporting biological, physical and social sciences. Biological nomenclature comprises a majority of the terms in the thesaurus, with political geography mainly described at the country level.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Botany","Economics","Environmental Science","Engineering Science","Animal Genetics","Plant Breeding","Social Science","Health Science","Animal Husbandry","Entomology","Agricultural Engineering","Earth Science","Agriculture","Life Science","Nutritional Science","Jurisprudence","Biology","Pathology"],"domains":["Taxonomic classification","Geographical location","Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Argentina","Brazil","Colombia","Costa Rica","Cuba","Dominican Republic","Ecuador","El Salvador","Guatemala","Honduras","Jamaica","Mexico","Nicaragua","Panama","Paraguay","Peru","Suriname","Trinidad and Tobago","United States","Uruguay","Venezuela","Bolivia"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":437,"relation":"undefined"}],"grants":[{"id":5857,"fairsharing_record_id":548,"organisation_id":45,"relation":"maintains","created_at":"2021-09-30T09:27:41.114Z","updated_at":"2021-09-30T09:27:41.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":45,"name":"Agriculture Information and Documentation Service of the Americas (SIDALC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5855,"fairsharing_record_id":548,"organisation_id":1948,"relation":"maintains","created_at":"2021-09-30T09:27:41.064Z","updated_at":"2021-09-30T09:27:41.064Z","grant_id":null,"is_lead":true,"saved_state":{"id":1948,"name":"National Agricultural Library (NAL)","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5856,"fairsharing_record_id":548,"organisation_id":1465,"relation":"maintains","created_at":"2021-09-30T09:27:41.087Z","updated_at":"2021-09-30T09:27:41.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":1465,"name":"Inter-American Institute for Cooperation on Agriculture (IICA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"549","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:29:15.759Z","metadata":{"doi":"10.25504/FAIRsharing.2q8c28","name":"Infection Disease Ontology Malaria","status":"ready","contacts":[{"contact_name":"Pantelis Topalis","contact_email":"topalis@imbb.forth.gr","contact_orcid":"0000-0002-1635-4810"}],"homepage":"https://www.vectorbase.org/ontology-browser","citations":[{"doi":"10.1186/2041-1480-4-16","pubmed_id":24034841,"publication_id":987}],"identifier":549,"description":"An application ontology for malaria extending the infectious disease ontology (IDO). With about half a billion cases, of which nearly one million fatal ones, malaria constitutes one of the major infectious diseases worldwide. A recently revived effort to eliminate the disease also focuses on IT resources for its efficient control, which prominently includes the control of the mosquito vectors that transmit the Plasmodium pathogens. As part of this effort, IDOMAL has been developed and it is continually being updated.","abbreviation":"IDOMAL","support_links":[{"url":"https://www.vectorbase.org/contact","type":"Contact form"},{"url":"info@vectorbase.org","name":"General contact","type":"Support email"},{"url":"https://twitter.com/VectorBase","name":"Twitter","type":"Twitter"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IDOMAL","name":"IDOMAL","portal":"BioPortal"}]},"legacy_ids":["bsg-000104","bsg-s000104"],"name":"FAIRsharing record for: Infection Disease Ontology Malaria","abbreviation":"IDOMAL","url":"https://fairsharing.org/10.25504/FAIRsharing.2q8c28","doi":"10.25504/FAIRsharing.2q8c28","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for malaria extending the infectious disease ontology (IDO). With about half a billion cases, of which nearly one million fatal ones, malaria constitutes one of the major infectious diseases worldwide. A recently revived effort to eliminate the disease also focuses on IT resources for its efficient control, which prominently includes the control of the mosquito vectors that transmit the Plasmodium pathogens. As part of this effort, IDOMAL has been developed and it is continually being updated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Infection Biology","Life Science","Biomedical Science"],"domains":["Malaria","Pathogen","Intervention design","Disease"],"taxonomies":["Anopheles gambiae","Culicidae","Homo sapiens","Plasmodium","Plasmodium falciparum"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":987,"pubmed_id":24034841,"title":"IDOMAL: the malaria ontology revisited.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-16","authors":"Topalis P,Mitraka E,Dritsou V,Dialynas E,Louis C","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-16","created_at":"2021-09-30T08:24:09.255Z","updated_at":"2021-09-30T08:24:09.255Z"},{"id":988,"pubmed_id":20698959,"title":"IDOMAL: an ontology for malaria.","year":2010,"url":"http://doi.org/10.1186/1475-2875-9-230","authors":"Topalis P,Mitraka E,Bujila I,Deligianni E,Dialynas E,Siden-Kiamos I,Troye-Blomberg M,Louis C","journal":"Malar J","doi":"10.1186/1475-2875-9-230","created_at":"2021-09-30T08:24:09.363Z","updated_at":"2021-09-30T08:24:09.363Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1512,"relation":"undefined"}],"grants":[{"id":5860,"fairsharing_record_id":549,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:41.196Z","updated_at":"2021-09-30T09:29:21.150Z","grant_id":208,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","grant":"LSHP-CT-2004-503578","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8338,"fairsharing_record_id":549,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:09.708Z","updated_at":"2021-09-30T09:32:09.762Z","grant_id":1495,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7 201588","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5859,"fairsharing_record_id":549,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:41.173Z","updated_at":"2021-09-30T09:27:41.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5858,"fairsharing_record_id":549,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:41.137Z","updated_at":"2021-09-30T09:30:11.164Z","grant_id":589,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7 223736","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5861,"fairsharing_record_id":549,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:27:41.221Z","updated_at":"2021-09-30T09:28:59.790Z","grant_id":46,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200900039C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7887,"fairsharing_record_id":549,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:29:26.023Z","updated_at":"2021-09-30T09:29:26.066Z","grant_id":248,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","grant":"HEALTH-F3-2009-242095","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8174,"fairsharing_record_id":549,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:31:20.297Z","updated_at":"2021-09-30T09:31:20.352Z","grant_id":1125,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN266200400039C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"550","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-12-23T18:06:25.888Z","metadata":{"doi":"10.25504/FAIRsharing.vdenk6","name":"Phylogenetic Ontology","status":"ready","contacts":[{"contact_name":"maryam panahiazar","contact_email":"mp@uga.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/PHYLONT","citations":[],"identifier":550,"description":"Ontology for Phylogenetic Analysis","abbreviation":"PHYLONT","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHYLONT","name":"PHYLONT","portal":"BioPortal"}]},"legacy_ids":["bsg-001063","bsg-s001063"],"name":"FAIRsharing record for: Phylogenetic Ontology","abbreviation":"PHYLONT","url":"https://fairsharing.org/10.25504/FAIRsharing.vdenk6","doi":"10.25504/FAIRsharing.vdenk6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Phylogenetic Analysis","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Phylogenetics"],"domains":["Mathematical model","Evolution"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"539","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:19:23.411Z","metadata":{"doi":"10.25504/FAIRsharing.9h5j8c","name":"The CXI File Format for Coherent X-ray Imaging","status":"ready","contacts":[{"contact_name":"Filipe Maia","contact_email":"cxidb@cxidb.org","contact_orcid":"0000-0002-2141-438X"}],"homepage":"http://cxidb.org/cxi.html","citations":[],"identifier":539,"description":"The CXI file format was created as common format for all the data in the Coherent X-ray Imaging Data Bank (CXIDB). Naturally its scope is all experimental data collected during Coherent X-ray Imaging experiments as well as all data generated during the analysis of the experimental data.","abbreviation":"CXI","support_links":[{"url":"http://cxidb.org/mission.html","type":"Help documentation"}],"associated_tools":[{"url":"http://www.desy.de/~twhite/crystfel/index.html","name":"CrystFEL"},{"url":"http://www.desy.de/~barty/cheetah/Cheetah/Welcome.html","name":"Cheetah"},{"url":"http://fxihub.github.io/hummingbird/","name":"Hummingbird"},{"url":"https://github.com/FXIhub/owl","name":"Owl"}]},"legacy_ids":["bsg-000542","bsg-s000542"],"name":"FAIRsharing record for: The CXI File Format for Coherent X-ray Imaging","abbreviation":"CXI","url":"https://fairsharing.org/10.25504/FAIRsharing.9h5j8c","doi":"10.25504/FAIRsharing.9h5j8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CXI file format was created as common format for all the data in the Coherent X-ray Imaging Data Bank (CXIDB). Naturally its scope is all experimental data collected during Coherent X-ray Imaging experiments as well as all data generated during the analysis of the experimental data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","X-ray diffraction","Imaging"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Sweden","United States"],"publications":[{"id":647,"pubmed_id":22936162,"title":"The Coherent X-ray Imaging Data Bank","year":2012,"url":"http://doi.org/10.1038/nmeth.2110","authors":"Maia, F. R. N. C.","journal":"Nat. Methods","doi":"doi:10.1038/nmeth.2110","created_at":"2021-09-30T08:23:31.213Z","updated_at":"2021-09-30T08:23:31.213Z"}],"licence_links":[],"grants":[{"id":5837,"fairsharing_record_id":539,"organisation_id":2524,"relation":"funds","created_at":"2021-09-30T09:27:40.599Z","updated_at":"2021-09-30T09:27:40.599Z","grant_id":null,"is_lead":false,"saved_state":{"id":2524,"name":"Scientific Discovery Through Advanced Computing, U.S. Department of Energy, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5840,"fairsharing_record_id":539,"organisation_id":2672,"relation":"funds","created_at":"2021-09-30T09:27:40.679Z","updated_at":"2021-09-30T09:27:40.679Z","grant_id":null,"is_lead":false,"saved_state":{"id":2672,"name":"Swedish Foundation for Strategic Research, Stockholm, Sweden","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5833,"fairsharing_record_id":539,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:27:40.463Z","updated_at":"2021-09-30T09:27:40.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5835,"fairsharing_record_id":539,"organisation_id":1985,"relation":"maintains","created_at":"2021-09-30T09:27:40.513Z","updated_at":"2021-09-30T09:27:40.513Z","grant_id":null,"is_lead":false,"saved_state":{"id":1985,"name":"National Energy Research Scientific Computing Center (NERSC), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5836,"fairsharing_record_id":539,"organisation_id":1985,"relation":"funds","created_at":"2021-09-30T09:27:40.535Z","updated_at":"2021-09-30T09:27:40.535Z","grant_id":null,"is_lead":false,"saved_state":{"id":1985,"name":"National Energy Research Scientific Computing Center (NERSC), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5838,"fairsharing_record_id":539,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:27:40.631Z","updated_at":"2021-09-30T09:27:40.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5839,"fairsharing_record_id":539,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:40.654Z","updated_at":"2021-09-30T09:27:40.654Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9317,"fairsharing_record_id":539,"organisation_id":1691,"relation":"funds","created_at":"2022-04-11T12:07:29.967Z","updated_at":"2022-04-11T12:07:29.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9411,"fairsharing_record_id":539,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.511Z","updated_at":"2022-04-11T12:07:36.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"540","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:33.000Z","updated_at":"2022-11-01T11:58:05.477Z","metadata":{"doi":"10.25504/FAIRsharing.A2W4nz","name":"FAIR Metrics - Metadata Longevity","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_A2","citations":[],"identifier":540,"description":"FM-A2 measures the existence of metadata even in the absence/removal of data. Cross-references to data from a third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data. This metric requires a URL to a formal metadata longevity plan. This metric applies to part A2 of the FAIR Principles.","abbreviation":"FM-A2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001349","bsg-s001349"],"name":"FAIRsharing record for: FAIR Metrics - Metadata Longevity","abbreviation":"FM-A2","url":"https://fairsharing.org/10.25504/FAIRsharing.A2W4nz","doi":"10.25504/FAIRsharing.A2W4nz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-A2 measures the existence of metadata even in the absence/removal of data. Cross-references to data from a third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data. This metric requires a URL to a formal metadata longevity plan. This metric applies to part A2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1407,"relation":"undefined"}],"grants":[{"id":5844,"fairsharing_record_id":540,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:40.787Z","updated_at":"2021-09-30T09:27:40.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5842,"fairsharing_record_id":540,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:40.738Z","updated_at":"2021-09-30T09:27:40.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5843,"fairsharing_record_id":540,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:40.763Z","updated_at":"2021-09-30T09:27:40.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5845,"fairsharing_record_id":540,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:40.813Z","updated_at":"2021-09-30T09:27:40.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"541","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:20.907Z","metadata":{"doi":"10.25504/FAIRsharing.dvxkzb","name":"CDISC Analysis Data Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/adam","identifier":541,"description":"ADaM defines dataset and metadata standards that support the efficient generation, replication, and review of clinical trial statistical analyses, and traceability among analysis results, analysis data, and data represented in the Study Data Tabulation Model (SDTM).​","abbreviation":"CDISC ADaM","support_links":[{"url":"https://www.cdisc.org/education/course/adam-primer","name":"ADaM Primer","type":"Training documentation"},{"url":"https://www.cdisc.org/education/course/adam-theory-and-application","name":"ADaM Theory and Application","type":"Training documentation"}]},"legacy_ids":["bsg-000001","bsg-s000001"],"name":"FAIRsharing record for: CDISC Analysis Data Model","abbreviation":"CDISC ADaM","url":"https://fairsharing.org/10.25504/FAIRsharing.dvxkzb","doi":"10.25504/FAIRsharing.dvxkzb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ADaM defines dataset and metadata standards that support the efficient generation, replication, and review of clinical trial statistical analyses, and traceability among analysis results, analysis data, and data represented in the Study Data Tabulation Model (SDTM).​","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17396},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11265},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11802},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11938},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12401},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16961}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Analysis","Data model","Data transformation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5847,"fairsharing_record_id":541,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:27:40.863Z","updated_at":"2021-09-30T09:27:40.863Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":5846,"fairsharing_record_id":541,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:27:40.837Z","updated_at":"2021-09-30T09:27:40.837Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":5848,"fairsharing_record_id":541,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:40.887Z","updated_at":"2021-09-30T09:27:40.887Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5849,"fairsharing_record_id":541,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:27:40.913Z","updated_at":"2021-09-30T09:27:40.913Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"542","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:25.265Z","metadata":{"doi":"10.25504/FAIRsharing.feb85q","name":"Structured Descriptive Data","status":"ready","contacts":[{"contact_name":"Gregor Hagedorn","contact_email":"g.m.hagedorn@gmail.com"}],"homepage":"http://www.tdwg.org/standards/116/","identifier":542,"description":"In taxonomy, descriptive data takes a number of very different forms. The goal of the Structured Descriptive Data (SDD) standard is to allow capture, transport, caching and archiving of descriptive data in all of its varied forms, using a platform- and application-independent, international standard. Such a standard is crucial to enabling lossless porting of data between existing and future software platforms including identification, data-mining and analysis tools, and federated databases.","abbreviation":"SDD","support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://wiki.tdwg.org/twiki/bin/view/SDD/WebHome","type":"Help documentation"},{"url":"https://github.com/tdwg/sdd","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-000198","bsg-s000198"],"name":"FAIRsharing record for: Structured Descriptive Data","abbreviation":"SDD","url":"https://fairsharing.org/10.25504/FAIRsharing.feb85q","doi":"10.25504/FAIRsharing.feb85q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In taxonomy, descriptive data takes a number of very different forms. The goal of the Structured Descriptive Data (SDD) standard is to allow capture, transport, caching and archiving of descriptive data in all of its varied forms, using a platform- and application-independent, international standard. Such a standard is crucial to enabling lossless porting of data between existing and future software platforms including identification, data-mining and analysis tools, and federated databases.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12272}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5850,"fairsharing_record_id":542,"organisation_id":256,"relation":"maintains","created_at":"2021-09-30T09:27:40.937Z","updated_at":"2021-09-30T09:27:40.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":256,"name":"Biological Descriptions (BD), Biological Descriptions interest group (TDWG), Berlin, Germany","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"543","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2021-12-02T10:59:17.936Z","metadata":{"doi":"10.25504/FAIRsharing.75rf2e","name":"Nursing Care Coordination Ontology","status":"deprecated","contacts":[],"homepage":"http://bioportal.bioontology.org/ontologies/NCCO","citations":[],"identifier":543,"description":"Nursing Care Coordination Ontology contains activities that nurses use while coordinating care among patients.","abbreviation":"NCCO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCCO","name":"NCCO","portal":"BioPortal"}],"deprecation_date":"2021-12-02","deprecation_reason":"This resource has not been updated in BioPortal since its first upload in 2013, and no further information on the resource can be found. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001059","bsg-s001059"],"name":"FAIRsharing record for: Nursing Care Coordination Ontology","abbreviation":"NCCO","url":"https://fairsharing.org/10.25504/FAIRsharing.75rf2e","doi":"10.25504/FAIRsharing.75rf2e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Nursing Care Coordination Ontology contains activities that nurses use while coordinating care among patients.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12529}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":["Nurse"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"544","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-03-10T13:28:08.963Z","metadata":{"doi":"10.25504/FAIRsharing.qhn29e","name":"Core Attributes of Biological Databases","status":"ready","contacts":[{"contact_name":"Peter McQuilton","contact_email":"peter.mcquilton@oerc.ox.ac.uk"}],"homepage":"http://biocuration.org/community/standards-biodbcore/","citations":[{"doi":"10.1093/database/baq027","pubmed_id":21205783,"publication_id":2311}],"identifier":544,"description":"BioDBCore is a community-defined, uniform, generic description of the core attributes of biological databases. The BioDBCore checklist is overseen by the International Society for Biocuration (ISB), in collaboration with FAIRsharing.","abbreviation":"BioDBCore","support_links":[{"url":"http://biocuration.org/contact-the-isb/","type":"Contact form"},{"url":"intsocbio@gmail.com","type":"Support email"},{"url":"http://biocuration.org/community/standards-biodbcore/motivation/","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000162","bsg-s000162"],"name":"FAIRsharing record for: Core Attributes of Biological Databases","abbreviation":"BioDBCore","url":"https://fairsharing.org/10.25504/FAIRsharing.qhn29e","doi":"10.25504/FAIRsharing.qhn29e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioDBCore is a community-defined, uniform, generic description of the core attributes of biological databases. The BioDBCore checklist is overseen by the International Society for Biocuration (ISB), in collaboration with FAIRsharing.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11599}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":2311,"pubmed_id":21205783,"title":"Towards BioDBcore: a community-defined information specification for biological databases.","year":2011,"url":"http://doi.org/10.1093/database/baq027","authors":"Gaudet P,Bairoch A,Field D,Sansone SA,Taylor C,Attwood TK,Bateman A,Blake JA,Bult CJ,Cherry JM,Chisholm RL,Cochrane G,Cook CE,Eppig JT,Galperin MY,Gentleman R,Goble CA,Gojobori T,Hancock JM,Howe DG,Imanishi T,Kelso J,Landsman D,Lewis SE,Karsch Mizrachi I,Orchard S,Ouellette BF,Ranganathan S,Richardson L,Rocca-Serra P,Schofield PN,Smedley D,Southan C,Tan TW,Tatusova T,Whetzel PL,White O,Yamasaki C","journal":"Database (Oxford)","doi":"10.1093/database/baq027","created_at":"2021-09-30T08:26:43.503Z","updated_at":"2021-09-30T08:26:43.503Z"}],"licence_links":[],"grants":[{"id":5852,"fairsharing_record_id":544,"organisation_id":1516,"relation":"maintains","created_at":"2021-09-30T09:27:40.987Z","updated_at":"2021-09-30T09:27:40.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":1516,"name":"International Society for Biocuration (ISB)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8931,"fairsharing_record_id":544,"organisation_id":2281,"relation":"maintains","created_at":"2022-03-09T13:25:40.221Z","updated_at":"2022-03-09T13:25:40.221Z","grant_id":null,"is_lead":true,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"545","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-12-23T08:38:20.982Z","metadata":{"doi":"10.25504/FAIRsharing.p63yyx","name":"RBMS Controlled Vocabularies","status":"ready","contacts":[{"contact_name":"RBMS Controlled Vocabularies Editors","contact_email":"vocabularies@rbms.info"}],"homepage":"http://rbms.info/vocabularies/","citations":[],"identifier":545,"description":"These thesauri provide standardized vocabulary for retrieving special collections materials by form, genre, or by various physical characteristics that are typically of interest to researchers and special collections librarians, and for relating materials to individuals or corporate bodies.","abbreviation":"RBMS","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RBMS","name":"RBMS","portal":"BioPortal"}]},"legacy_ids":["bsg-001062","bsg-s001062"],"name":"FAIRsharing record for: RBMS Controlled Vocabularies","abbreviation":"RBMS","url":"https://fairsharing.org/10.25504/FAIRsharing.p63yyx","doi":"10.25504/FAIRsharing.p63yyx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These thesauri provide standardized vocabulary for retrieving special collections materials by form, genre, or by various physical characteristics that are typically of interest to researchers and special collections librarians, and for relating materials to individuals or corporate bodies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Literary Studies","Anthropology"],"domains":["Resource collection"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"565","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2024-01-28T09:57:20.244Z","metadata":{"doi":"10.25504/FAIRsharing.7e0974","name":"Ontologized MIABIS","status":"deprecated","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"mbrochhausen@gmail.com"}],"homepage":"https://github.com/OMIABIS/omiabis-dev","citations":[],"identifier":565,"description":"OMIABIS is an open-source ontology of biobank administration. OMIABIS stands for Ontologized MIABIS where MIABIS is the Minimum Information About BIobank data Sharing.","abbreviation":"OMIABIS","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMIABIS","name":"OMIABIS","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/omiabis.html","name":"OMIABIS in OBO Foundry (obsolete)","portal":"OBO Foundry"}],"deprecation_date":"2021-12-06","deprecation_reason":"This resource is no longer being maintained, and has been registered as deprecated with the OBO Foundry"},"legacy_ids":["bsg-000885","bsg-s000885"],"name":"FAIRsharing record for: Ontologized MIABIS","abbreviation":"OMIABIS","url":"https://fairsharing.org/10.25504/FAIRsharing.7e0974","doi":"10.25504/FAIRsharing.7e0974","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OMIABIS is an open-source ontology of biobank administration. OMIABIS stands for Ontologized MIABIS where MIABIS is the Minimum Information About BIobank data Sharing.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17340},{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17650},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12116}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Biobank"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"566","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:18:16.000Z","updated_at":"2022-11-01T11:57:35.286Z","metadata":{"doi":"10.25504/FAIRsharing.cuyPH9","name":"FAIR Metrics - Meets Community Standards","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_R1.3","citations":[],"identifier":566,"description":"FM-R1.3 is a metric concerned with certification, from a recognized body, of the resource meeting community standards. Various communities have recognized that maximizing the usability of their data requires them to adopt a set of guidelines for metadata (often in the form of “minimal information about…” models). Non-compliance with these standards will often render a dataset ‘reuseless’ because critical information about its context or provenance is missing. However, adherence to community standards does more than just improve reusability of the data. The software used by the community for analysis and visualization often depends on the (meta)data having certain fields; thus, non-compliance with standards may result in the data being unreadable by its associated tools. As such, data should be (individually) certified as being compliant, likely through some automated process (e.g. submitting the data to the community’s online validation service). A certification saying that the resource is compliant must be provided to fulfil this metric. This metric applies to part R1.3 of the FAIR Principles.","abbreviation":"FM-R1.3","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001355","bsg-s001355"],"name":"FAIRsharing record for: FAIR Metrics - Meets Community Standards","abbreviation":"FM-R1.3","url":"https://fairsharing.org/10.25504/FAIRsharing.cuyPH9","doi":"10.25504/FAIRsharing.cuyPH9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-R1.3 is a metric concerned with certification, from a recognized body, of the resource meeting community standards. Various communities have recognized that maximizing the usability of their data requires them to adopt a set of guidelines for metadata (often in the form of “minimal information about…” models). Non-compliance with these standards will often render a dataset ‘reuseless’ because critical information about its context or provenance is missing. However, adherence to community standards does more than just improve reusability of the data. The software used by the community for analysis and visualization often depends on the (meta)data having certain fields; thus, non-compliance with standards may result in the data being unreadable by its associated tools. As such, data should be (individually) certified as being compliant, likely through some automated process (e.g. submitting the data to the community’s online validation service). A certification saying that the resource is compliant must be provided to fulfil this metric. This metric applies to part R1.3 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance","Subject Agnostic"],"domains":["Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1408,"relation":"undefined"}],"grants":[{"id":5892,"fairsharing_record_id":566,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:42.014Z","updated_at":"2021-09-30T09:27:42.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5890,"fairsharing_record_id":566,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:41.964Z","updated_at":"2021-09-30T09:27:41.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5891,"fairsharing_record_id":566,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:41.989Z","updated_at":"2021-09-30T09:27:41.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5893,"fairsharing_record_id":566,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:42.040Z","updated_at":"2021-09-30T09:27:42.040Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"568","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-01-03T11:55:53.833Z","metadata":{"doi":"10.25504/FAIRsharing.p1nva","name":"KB_Bio_101","status":"ready","contacts":[{"contact_name":"Vinay Chaudhri","contact_email":"vinay.chaudhri@sri.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/AURA","citations":[],"identifier":568,"description":"KB-Bio-101 contains knowledge about processes and mechanisms, and was created from an introductory textbook in biology.","abbreviation":"AURA","support_links":[{"url":"https://www.sri.com/publication/chemistry-materials-energy-pubs/kb_bio_101-content-and-challenges/","name":"KB_Bio_101: Content and challenges. ","type":"Other"},{"url":"https://ceur-ws.org/Vol-1015/paper_6.pdf","name":"KB Bio 101 : A Challenge for OWL Reasoners","type":"Other"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AURA","name":"AURA","portal":"BioPortal"}]},"legacy_ids":["bsg-000756","bsg-s000756"],"name":"FAIRsharing record for: KB_Bio_101","abbreviation":"AURA","url":"https://fairsharing.org/10.25504/FAIRsharing.p1nva","doi":"10.25504/FAIRsharing.p1nva","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KB-Bio-101 contains knowledge about processes and mechanisms, and was created from an introductory textbook in biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Chromosome"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":3059,"relation":"applies_to_content"}],"grants":[{"id":10271,"fairsharing_record_id":568,"organisation_id":2623,"relation":"associated_with","created_at":"2023-01-03T11:51:30.771Z","updated_at":"2023-01-03T11:51:30.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"570","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-04T11:46:17.819Z","metadata":{"doi":"10.25504/FAIRsharing.yr6mb8","name":"Pilot Ontology","status":"deprecated","contacts":[],"homepage":"http://bioportal.bioontology.org/ontologies/1399","citations":[],"identifier":570,"description":"\"Pilot Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1399. This text was generated automatically. If you work on the project responsible for \"Pilot Ontology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"POL","deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002638","bsg-s002638"],"name":"FAIRsharing record for: Pilot Ontology","abbreviation":"POL","url":"https://fairsharing.org/10.25504/FAIRsharing.yr6mb8","doi":"10.25504/FAIRsharing.yr6mb8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Pilot Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1399. This text was generated automatically. If you work on the project responsible for \"Pilot Ontology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"571","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T12:00:37.253Z","metadata":{"doi":"10.25504/FAIRsharing.nc71b5","name":"Ontology of Craniofacial Development and Malformation","status":"ready","contacts":[{"contact_name":"Todd Detwiler","contact_email":"detwiler@sig.biostr.washington.edu"}],"homepage":"https://www.facebase.org/ocdm/","citations":[],"identifier":571,"description":"The Ontology of Craniofacial Development and Malformation (OCDM) is a mechanism for representing knowledge about craniofacial development and malformation, and for using that knowledge to facilitate integrating craniofacial data obtained via multiple techniques from multiple labs and at multiple levels of granularity. The OCDM is a project of the NIDCR-sponsored FaceBase Consortium, whose goal is to promote and enable research into the genetic and epigenetic causes of specific craniofacial abnormalities through the provision of publicly accessible, integrated craniofacial data. The OCDM is based on the Foundational Model of Anatomy (FMA) and includes modules to represent adult and developmental craniofacial anatomy in human, mouse and zebrafish, mappings between homologous structures in the different species, and associated malformations.","abbreviation":"OCDM","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCDM","name":"OCDM","portal":"BioPortal"}]},"legacy_ids":["bsg-000791","bsg-s000791"],"name":"FAIRsharing record for: Ontology of Craniofacial Development and Malformation","abbreviation":"OCDM","url":"https://fairsharing.org/10.25504/FAIRsharing.nc71b5","doi":"10.25504/FAIRsharing.nc71b5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Craniofacial Development and Malformation (OCDM) is a mechanism for representing knowledge about craniofacial development and malformation, and for using that knowledge to facilitate integrating craniofacial data obtained via multiple techniques from multiple labs and at multiple levels of granularity. The OCDM is a project of the NIDCR-sponsored FaceBase Consortium, whose goal is to promote and enable research into the genetic and epigenetic causes of specific craniofacial abnormalities through the provision of publicly accessible, integrated craniofacial data. The OCDM is based on the Foundational Model of Anatomy (FMA) and includes modules to represent adult and developmental craniofacial anatomy in human, mouse and zebrafish, mappings between homologous structures in the different species, and associated malformations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Medicine","Epigenetics","Genetics","Developmental Biology"],"domains":["Abnormal craniofacial development","Craniofacial phenotype"],"taxonomies":["Danio rerio","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8730,"fairsharing_record_id":571,"organisation_id":3125,"relation":"maintains","created_at":"2022-01-19T16:10:53.966Z","updated_at":"2022-01-19T16:10:53.966Z","grant_id":null,"is_lead":true,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"572","type":"fairsharing_records","attributes":{"created_at":"2020-12-16T11:49:28.000Z","updated_at":"2022-07-20T12:40:19.226Z","metadata":{"doi":"10.25504/FAIRsharing.d31795","name":"Library of Congress Subject Headings","status":"ready","contacts":[{"contact_name":"Judith Cannan","contact_email":"jcan@loc.gov"}],"homepage":"https://id.loc.gov/authorities/subjects.html","citations":[],"identifier":572,"description":"The Library of Congress Subject Headings (LCSH) provides catalog headings for materials held at the Library of Congress. Libraries throughout the United States use LCSH to provide subject access to their collections. LCSH is also used internationally, often in translation. The LCSH online resource includes all Library of Congress Subject Headings, free-floating subdivisions (topical and form), Genre/Form headings, Children's (AC) headings, and validation strings for which authority records have been created.","abbreviation":"LCSH","support_links":[{"url":"https://www.loc.gov/aba/contact/general_form.php","name":"Contact Form","type":"Contact form"},{"url":"https://www.loc.gov/aba/cataloging/subject/","name":"Subject Headings and Genre/Form Terms","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Library_of_Congress_Subject_Headings","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1898},"legacy_ids":["bsg-001568","bsg-s001568"],"name":"FAIRsharing record for: Library of Congress Subject Headings","abbreviation":"LCSH","url":"https://fairsharing.org/10.25504/FAIRsharing.d31795","doi":"10.25504/FAIRsharing.d31795","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Subject Headings (LCSH) provides catalog headings for materials held at the Library of Congress. Libraries throughout the United States use LCSH to provide subject access to their collections. LCSH is also used internationally, often in translation. The LCSH online resource includes all Library of Congress Subject Headings, free-floating subdivisions (topical and form), Genre/Form headings, Children's (AC) headings, and validation strings for which authority records have been created.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":2249,"relation":"undefined"}],"grants":[{"id":5894,"fairsharing_record_id":572,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:27:42.072Z","updated_at":"2021-09-30T09:27:42.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"573","type":"fairsharing_records","attributes":{"created_at":"2020-04-26T09:27:33.000Z","updated_at":"2022-07-20T10:08:50.025Z","metadata":{"doi":"10.25504/FAIRsharing.d9ea1b","name":"ICPSR Thesaurus","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"ICPSR-help@umich.edu"}],"homepage":"https://www.icpsr.umich.edu/web/ICPSR/thesaurus/index","identifier":573,"description":"The ICPSR Thesaurus is a controlled vocabulary system. Development of the ICPSR Thesaurus was supported by the National Science Foundation (SES-9977984). The scope of this thesaurus is multidisciplinary and is intended to reflect the subject range of the ICPSR archive. Social science disciplines represented include: political science, sociology, history, economics, education, criminal justice, gerontology, demography, public health, law, and international relations.","abbreviation":"ICPSR Thesaurus","support_links":[{"url":"https://www.icpsr.umich.edu/web/ICPSR/help/","type":"Help documentation"},{"url":"https://twitter.com/ICPSR","type":"Twitter"}]},"legacy_ids":["bsg-001468","bsg-s001468"],"name":"FAIRsharing record for: ICPSR Thesaurus","abbreviation":"ICPSR Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.d9ea1b","doi":"10.25504/FAIRsharing.d9ea1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICPSR Thesaurus is a controlled vocabulary system. Development of the ICPSR Thesaurus was supported by the National Science Foundation (SES-9977984). The scope of this thesaurus is multidisciplinary and is intended to reflect the subject range of the ICPSR archive. Social science disciplines represented include: political science, sociology, history, economics, education, criminal justice, gerontology, demography, public health, law, and international relations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Economic and Social History","Demographics","Social Science","Education Science","Geriatric Medicine","Health Science","Criminal Law","Political Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 United States (CC BY-NC 3.0 US)","licence_id":170,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/us/","link_id":659,"relation":"undefined"}],"grants":[{"id":5895,"fairsharing_record_id":573,"organisation_id":1393,"relation":"maintains","created_at":"2021-09-30T09:27:42.097Z","updated_at":"2021-09-30T09:27:42.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":1393,"name":"Institute for Social Research, University of Michigan, Ann Arbor, MI, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5896,"fairsharing_record_id":573,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:42.122Z","updated_at":"2021-09-30T09:32:29.354Z","grant_id":1642,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"SES-9977984","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"554","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-04-17T07:27:59.249Z","metadata":{"doi":"10.25504/FAIRsharing.7y955w","name":"Gene Ontology Extension","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium","contact_email":"go@geneontology.org"}],"homepage":"http://www.geneontology.org","citations":[],"identifier":554,"description":"Gene Ontology Extension","abbreviation":"GO-EXT","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GO-EXT","name":"GO-EXT","portal":"BioPortal"}]},"legacy_ids":["bsg-001064","bsg-s001064"],"name":"FAIRsharing record for: Gene Ontology Extension","abbreviation":"GO-EXT","url":"https://fairsharing.org/10.25504/FAIRsharing.7y955w","doi":"10.25504/FAIRsharing.7y955w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Ontology Extension","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Gene Ontology enrichment","Annotation","Sequence annotation","Gene functional annotation","Molecular function","Cellular component","Biological process","Data model","Protein","Transcript","Gene","Knowledge representation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"555","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T12:42:21.000Z","updated_at":"2023-05-05T07:52:22.376Z","metadata":{"doi":"10.25504/FAIRsharing.0Csgcz","name":"The Minimal Information for Reporting an Ontology Guidelines","status":"ready","contacts":[{"contact_name":"Nicolas Matentzoglu","contact_email":"nicolas.matentzoglu@manchester.ac.uk"}],"homepage":"https://github.com/owlcs/miro/blob/master/miro.md","citations":[{"doi":"10.1186/s13326-017-0172-7","pubmed_id":29347969,"publication_id":928}],"identifier":555,"description":"The MIRO guidelines are a community-validated set of recommendations on what should be reported about an ontology and its development, most importantly in the context of ontology description papers intended for publishing in scientific journals or conferences. The purpose of the community-reviewed MIRO guidelines is to significantly improve the quality of ontology description reports and other documentation, in particular by increasing consistent reporting of important ontology features that are otherwise often neglected.","abbreviation":"MIRO","support_links":[{"url":"https://github.com/owlcs/miro/tree/master/supplementary","name":"MIRO Community Feedback Data","type":"Github"},{"url":"https://robertdavidstevens.wordpress.com/2018/03/19/the-minimal-information-for-reporting-an-ontology-miro-guidelines/","name":"Blog Post: MIRO Guidelines","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001175","bsg-s001175"],"name":"FAIRsharing record for: The Minimal Information for Reporting an Ontology Guidelines","abbreviation":"MIRO","url":"https://fairsharing.org/10.25504/FAIRsharing.0Csgcz","doi":"10.25504/FAIRsharing.0Csgcz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIRO guidelines are a community-validated set of recommendations on what should be reported about an ontology and its development, most importantly in the context of ontology description papers intended for publishing in scientific journals or conferences. The purpose of the community-reviewed MIRO guidelines is to significantly improve the quality of ontology description reports and other documentation, in particular by increasing consistent reporting of important ontology features that are otherwise often neglected.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom","United States"],"publications":[{"id":928,"pubmed_id":29347969,"title":"MIRO: guidelines for minimum information for the reporting of an ontology.","year":2018,"url":"http://doi.org/10.1186/s13326-017-0172-7","authors":"Matentzoglu N,Malone J,Mungall C,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/s13326-017-0172-7","created_at":"2021-09-30T08:24:02.661Z","updated_at":"2021-09-30T08:24:02.661Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":494,"relation":"undefined"}],"grants":[{"id":5872,"fairsharing_record_id":555,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:41.514Z","updated_at":"2021-09-30T09:27:41.514Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5869,"fairsharing_record_id":555,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:27:41.438Z","updated_at":"2021-09-30T09:27:41.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5871,"fairsharing_record_id":555,"organisation_id":981,"relation":"maintains","created_at":"2021-09-30T09:27:41.489Z","updated_at":"2021-09-30T09:27:41.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":981,"name":"FactBio, Cambridge, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5870,"fairsharing_record_id":555,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:41.463Z","updated_at":"2021-09-30T09:30:12.717Z","grant_id":600,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J014176/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"556","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-02-21T10:36:03.136Z","metadata":{"doi":"10.25504/FAIRsharing.zchb68","name":"Mouse Developmental Stages","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://obofoundry.org/ontology/mmusdv.html","citations":[],"identifier":556,"description":"Life cycle stages for Mus Musculus. MmusDv was developed by the Bgee group with assistance from the core Uberon developers and the Mouse anatomy ontology developers. Currently it includes both embryonic stages and adult stages. ","abbreviation":"MMUSDV","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MMUSDV","name":"MMUSDV in BioPortal","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/mmusdv.html","name":"mmusdv in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001065","bsg-s001065"],"name":"FAIRsharing record for: Mouse Developmental Stages","abbreviation":"MMUSDV","url":"https://fairsharing.org/10.25504/FAIRsharing.zchb68","doi":"10.25504/FAIRsharing.zchb68","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Mus Musculus. MmusDv was developed by the Bgee group with assistance from the core Uberon developers and the Mouse anatomy ontology developers. Currently it includes both embryonic stages and adult stages. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Embryology"],"domains":["Life cycle stage"],"taxonomies":["Mus"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":3098,"relation":"applies_to_content"}],"grants":[{"id":10369,"fairsharing_record_id":556,"organisation_id":3597,"relation":"maintains","created_at":"2023-02-21T10:05:09.877Z","updated_at":"2023-02-21T10:05:09.877Z","grant_id":null,"is_lead":true,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"557","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:07:34.209Z","metadata":{"doi":"10.25504/FAIRsharing.zkdn1d","name":"Food and Agriculture Organization (FAO)-IPGRI-Bioversity Multi-Crop Passport Descriptor","status":"deprecated","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org"}],"homepage":"http://www.cropontology.org/ontology/CO_020/FAO-Bioversity%20Multi-Crop%20Passport%20Descriptors","citations":[],"identifier":557,"description":"The FAO/IPGRI Multi-Crop Passport Descriptor is part of the Crop Ontology (CO) project. The ontology has been adapted from the December 2015 version of the FAO/Bioversity Multi-Crop Passport Descriptors. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. This ontology is one of these reference plant ontologies integrated within the Crop Ontology. This ontology is currently unavailable from the Crop Ontology site, and therefore has been marked as uncertain. Please get in touch with us if you have information on this resource.","abbreviation":"CO_020","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001115","bsg-s001115"],"name":"FAIRsharing record for: Food and Agriculture Organization (FAO)-IPGRI-Bioversity Multi-Crop Passport Descriptor","abbreviation":"CO_020","url":"https://fairsharing.org/10.25504/FAIRsharing.zkdn1d","doi":"10.25504/FAIRsharing.zkdn1d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAO/IPGRI Multi-Crop Passport Descriptor is part of the Crop Ontology (CO) project. The ontology has been adapted from the December 2015 version of the FAO/Bioversity Multi-Crop Passport Descriptors. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. This ontology is one of these reference plant ontologies integrated within the Crop Ontology. This ontology is currently unavailable from the Crop Ontology site, and therefore has been marked as uncertain. Please get in touch with us if you have information on this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Plant Genetics"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1849,"relation":"undefined"}],"grants":[{"id":5875,"fairsharing_record_id":557,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:41.589Z","updated_at":"2021-09-30T09:27:41.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5873,"fairsharing_record_id":557,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:41.538Z","updated_at":"2021-09-30T09:27:41.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5874,"fairsharing_record_id":557,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:41.563Z","updated_at":"2021-09-30T09:27:41.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5876,"fairsharing_record_id":557,"organisation_id":485,"relation":"funds","created_at":"2021-09-30T09:27:41.613Z","updated_at":"2021-09-30T09:27:41.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"558","type":"fairsharing_records","attributes":{"created_at":"2021-03-17T10:04:32.000Z","updated_at":"2022-07-20T10:28:03.929Z","metadata":{"doi":"10.25504/FAIRsharing.9179e5","name":"Barley Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/POLAPGEN_BARLEY:ROOT","citations":[],"identifier":558,"description":"The Crop Ontology's (CO) current objective is to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The POLAPGEN Barley Ontology is one of CO terminologies, with a focus on traits used in genetics and bioinformatics.","abbreviation":"POLAPGEN_BARLEY","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001597","bsg-s001597"],"name":"FAIRsharing record for: Barley Trait Ontology","abbreviation":"POLAPGEN_BARLEY","url":"https://fairsharing.org/10.25504/FAIRsharing.9179e5","doi":"10.25504/FAIRsharing.9179e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Crop Ontology's (CO) current objective is to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The POLAPGEN Barley Ontology is one of CO terminologies, with a focus on traits used in genetics and bioinformatics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Bioinformatics","Genetics","Agriculture"],"domains":[],"taxonomies":["Hordeum vulgare"],"user_defined_tags":[],"countries":["Poland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":544,"relation":"undefined"}],"grants":[{"id":5877,"fairsharing_record_id":558,"organisation_id":2337,"relation":"maintains","created_at":"2021-09-30T09:27:41.639Z","updated_at":"2021-09-30T09:27:41.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":2337,"name":"POLAPGEN Applied Genetics and Genomics Consortium, Poland","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaXNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ccbb560936b5114f8775c9ff8132ee4fa79d6bb9/16a1deec-90a3-4f48-a266-e7288056fe70.jpeg?disposition=inline","exhaustive_licences":false}},{"id":"561","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-25T13:11:27.012Z","metadata":{"doi":"10.25504/FAIRsharing.v7ft18","name":"Imaging Mass Spectrometry Markup Language","status":"ready","contacts":[{"contact_name":"Andreas Roempp","contact_email":"andreas.roempp@uni-bayreuth.de"}],"homepage":"https://ms-imaging.org/imzml/data-structure/","citations":[],"identifier":561,"description":"The purpose of imzML is to facilitate the exchange and processing of mass spectrometry imaging data. This website is intended to provide all information necessary to implement imzML. imzML data format consists of two separate files: one for the metadata and one for the MS data. The metadata is saved in an XML file (*.imzML; the XML metadata model of imzML is the same as for mzML by HUPO-PSI). The mass spectral data is saved in a binary file (*.ibd). The connection between the two files is made via links in the XML file which hold the offsets of the mass spectral data in the binary file. It is important to keep in mind that the information of both file is only valid if no file is missing. imzML is it not limited to MS imaging, but is also useful for other MS applications generating large data sets such as LC-FTMS. ","abbreviation":"imzML","support_links":[{"url":"https://ms-imaging.org/contact/","name":"Contact imzML","type":"Contact form"},{"url":"https://ms-imaging.org/category/reference/literature/","name":"imzML Literature","type":"Help documentation"},{"url":"https://ms-imaging.org/imzml/","name":"imzML common data format overview","type":"Help documentation"},{"url":"https://github.com/imzML/imzML/tree/master","name":"imzML on GitHub","type":"Github"},{"url":"https://ms-imaging.org/imzml/controlled-vocabulary/","name":"Imaging MS controlled vocabulary","type":"Help documentation"},{"url":"https://ms-imaging.org/imzml/data-structure/","name":"imzML Data Structure","type":"Help documentation"},{"url":"https://ms-imaging.org/wp-content/uploads/2009/08/CVimagingMSList.pdf","name":"New imaging parameter controlled vocabulary (2009)","type":"Help documentation"},{"url":"https://ms-imaging.org/imzml/imzml-1-1-1/","name":"imzML 1.1.1 specification (2018)","type":"Other"}],"year_creation":2008,"associated_tools":[{"url":"https://gitlab.com/imzML/imzMLValidator/","name":"imzML Validator"},{"url":"https://ms-imaging.org/imzml/software-tools/","name":"imzML Software Tools"}]},"legacy_ids":["bsg-000111","bsg-s000111"],"name":"FAIRsharing record for: Imaging Mass Spectrometry Markup Language","abbreviation":"imzML","url":"https://fairsharing.org/10.25504/FAIRsharing.v7ft18","doi":"10.25504/FAIRsharing.v7ft18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of imzML is to facilitate the exchange and processing of mass spectrometry imaging data. This website is intended to provide all information necessary to implement imzML. imzML data format consists of two separate files: one for the metadata and one for the MS data. The metadata is saved in an XML file (*.imzML; the XML metadata model of imzML is the same as for mzML by HUPO-PSI). The mass spectral data is saved in a binary file (*.ibd). The connection between the two files is made via links in the XML file which hold the offsets of the mass spectral data in the binary file. It is important to keep in mind that the information of both file is only valid if no file is missing. imzML is it not limited to MS imaging, but is also useful for other MS applications generating large data sets such as LC-FTMS. ","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10913},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11028}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Scientific Instrument Design","Life Science","Omics"],"domains":["Bioimaging","Imaging","Small molecule","Mass spectrometry assay","Measurement"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Switzerland","United States"],"publications":[{"id":1401,"pubmed_id":21063949,"title":"imzML: Imaging Mass Spectrometry Markup Language: A common data format for mass spectrometry imaging.","year":2010,"url":"http://doi.org/10.1007/978-1-60761-987-1_12","authors":"Rompp A,Schramm T,Hester A,Klinkert I,Both JP,Heeren RM,Stockli M,Spengler B","journal":"Methods Mol Biol","doi":"10.1007/978-1-60761-987-1_12","created_at":"2021-09-30T08:24:56.661Z","updated_at":"2021-09-30T08:24:56.661Z"},{"id":4031,"pubmed_id":22842151,"title":"imzML — A common data format for the flexible exchange and processing of mass spectrometry imaging data","year":2012,"url":"http://dx.doi.org/10.1016/j.jprot.2012.07.026","authors":"Schramm, Thorsten; Hester, Zoë; Klinkert, Ivo; Both, Jean-Pierre; Heeren, Ron M.A.; Brunelle, Alain; Laprévote, Olivier; Desbenoit, Nicolas; Robbe, Marie-France; Stoeckli, Markus; Spengler, Bernhard; Römpp, Andreas; ","journal":"Journal of Proteomics","doi":"10.1016/j.jprot.2012.07.026","created_at":"2023-10-23T15:13:36.836Z","updated_at":"2023-10-23T15:13:36.836Z"}],"licence_links":[],"grants":[{"id":11029,"fairsharing_record_id":561,"organisation_id":4152,"relation":"funds","created_at":"2023-10-23T15:25:44.707Z","updated_at":"2023-10-23T15:25:44.707Z","grant_id":1984,"is_lead":false,"saved_state":{"id":4152,"name":"Mass Spectrometry Imaging Society","grant":"European Union [Contract LSHG-CT-2005-518194]","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11030,"fairsharing_record_id":561,"organisation_id":2380,"relation":"associated_with","created_at":"2023-10-23T15:25:45.017Z","updated_at":"2023-10-23T15:25:45.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11031,"fairsharing_record_id":561,"organisation_id":4153,"relation":"undefined","created_at":"2023-10-23T15:32:46.842Z","updated_at":"2023-10-23T15:32:46.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":4153,"name":"The Imaging Mass Spectrometry Society (IMSS)","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"562","type":"fairsharing_records","attributes":{"created_at":"2016-09-02T01:44:17.000Z","updated_at":"2021-11-24T13:18:38.646Z","metadata":{"doi":"10.25504/FAIRsharing.reqeqw","name":"Biological Dynamics Markup Language","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp","contact_orcid":"0000-0002-8255-1724"}],"homepage":"http://ssbd.qbic.riken.jp/bdml/","identifier":562,"description":"Biological Dynamics Markup Language is an open unified format for representing quantitative data of biological dynamics. BDML can describe a wide variety of spatiotemporal dynamics of biological objects from molecules to cells to organisms.","abbreviation":"BDML","year_creation":2013,"associated_tools":[{"url":"http://ssbd.qbic.riken.jp/BDML4DViewer/","name":"BDML4DViewer"},{"url":"http://ssbd.qbic.riken.jp/phenochar/","name":"phenochar"}]},"legacy_ids":["bsg-000674","bsg-s000674"],"name":"FAIRsharing record for: Biological Dynamics Markup Language","abbreviation":"BDML","url":"https://fairsharing.org/10.25504/FAIRsharing.reqeqw","doi":"10.25504/FAIRsharing.reqeqw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biological Dynamics Markup Language is an open unified format for representing quantitative data of biological dynamics. BDML can describe a wide variety of spatiotemporal dynamics of biological objects from molecules to cells to organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16914}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science","Systems Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1368,"pubmed_id":25414366,"title":"Biological Dynamics Markup Language (BDML): an open format for representing quantitative biological dynamics data","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu767","authors":"Kyoda, K., Tohsato, Y., Ho, K.H.L., Onami, S.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu767","created_at":"2021-09-30T08:24:52.983Z","updated_at":"2021-09-30T08:24:52.983Z"}],"licence_links":[],"grants":[{"id":5882,"fairsharing_record_id":562,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:41.764Z","updated_at":"2021-09-30T09:27:41.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5883,"fairsharing_record_id":562,"organisation_id":1669,"relation":"maintains","created_at":"2021-09-30T09:27:41.789Z","updated_at":"2021-09-30T09:27:41.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":1669,"name":"Laboratory for Developmental Dynamics, RIKEN Quantitative Biology Center, Kobe, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"563","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.085Z","metadata":{"doi":"10.25504/FAIRsharing.fhn1zb","name":"Traditional Medicine Signs and Symptoms Value Set","status":"ready","contacts":[{"contact_name":"Molly Meri Robinson Nicol","contact_email":"robinsonm@who.int"}],"homepage":"https://sites.google.com/site/whoictm/home","identifier":563,"description":"The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-SIGNS-AND-SYMPTS","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-SIGNS-AND-SYMPTS","name":"TM-SIGNS-AND-SYMPTS","portal":"BioPortal"}]},"legacy_ids":["bsg-002705","bsg-s002705"],"name":"FAIRsharing record for: Traditional Medicine Signs and Symptoms Value Set","abbreviation":"TM-SIGNS-AND-SYMPTS","url":"https://fairsharing.org/10.25504/FAIRsharing.fhn1zb","doi":"10.25504/FAIRsharing.fhn1zb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12496}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Traditional Medicine","Health Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5884,"fairsharing_record_id":563,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:41.813Z","updated_at":"2021-09-30T09:27:41.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5885,"fairsharing_record_id":563,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:27:41.839Z","updated_at":"2021-09-30T09:27:41.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"564","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:37:04.130Z","metadata":{"doi":"10.25504/FAIRsharing.s3r6sk","name":"Zebrafish anatomy and development","status":"ready","contacts":[{"contact_email":"curators@zfin.org"}],"homepage":"https://wiki.zfin.org/display/general/Anatomy+Atlases+and+Resources","identifier":564,"description":"A structured controlled vocabulary of the anatomy and development of the Zebrafish. If you work on the project responsible for \"Zebrafish anatomy and development\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"ZFA","support_links":[{"url":"https://sourceforge.net/p/obo/zebrafish-anatomy-zfa-term-requests/","name":"ZFIN Term Requests","type":"Forum"}],"year_creation":1999,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZFA","name":"ZFA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/zfa.html","name":"zfa","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000031","bsg-s000031"],"name":"FAIRsharing record for: Zebrafish anatomy and development","abbreviation":"ZFA","url":"https://fairsharing.org/10.25504/FAIRsharing.s3r6sk","doi":"10.25504/FAIRsharing.s3r6sk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy and development of the Zebrafish. If you work on the project responsible for \"Zebrafish anatomy and development\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Morphology","Structure","Life cycle","Life cycle stage"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1655,"pubmed_id":24568621,"title":"The zebrafish anatomy and stage ontologies: representing the anatomy and development of Danio rerio.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-12","authors":"Van Slyke CE,Bradford YM,Westerfield M,Haendel MA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-12","created_at":"2021-09-30T08:25:25.395Z","updated_at":"2021-09-30T08:25:25.395Z"}],"licence_links":[],"grants":[{"id":5889,"fairsharing_record_id":564,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:41.940Z","updated_at":"2021-09-30T09:27:41.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5887,"fairsharing_record_id":564,"organisation_id":3274,"relation":"maintains","created_at":"2021-09-30T09:27:41.889Z","updated_at":"2021-09-30T09:27:41.889Z","grant_id":null,"is_lead":false,"saved_state":{"id":3274,"name":"ZFIN administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5886,"fairsharing_record_id":564,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:41.864Z","updated_at":"2021-09-30T09:29:42.152Z","grant_id":365,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HG004838","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5888,"fairsharing_record_id":564,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:41.914Z","updated_at":"2021-09-30T09:32:20.271Z","grant_id":1573,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BDI-0641025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8027,"fairsharing_record_id":564,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:29.102Z","updated_at":"2021-09-30T09:30:29.159Z","grant_id":731,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HG002659","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"577","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T12:04:17.169Z","metadata":{"doi":"10.25504/FAIRsharing.mct09a","name":"Molecular Process Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"batchelorc@rsc.org"}],"homepage":"https://github.com/rsc-ontologies/rxno","citations":[],"identifier":577,"description":"The Molecular Process Ontology (MOP) was created to work together with the Name Reaction Ontology (RXNO). MOP describes underlying molecular processes in organic reactions such as cyclization, methylation and demethylation.","abbreviation":"MOP","support_links":[{"url":"https://github.com/rsc-ontologies/rxno/issues","name":"Issue Tracker","type":"Contact form"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOP","name":"MOP","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/mop.html","name":"mop","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000760","bsg-s000760"],"name":"FAIRsharing record for: Molecular Process Ontology","abbreviation":"MOP","url":"https://fairsharing.org/10.25504/FAIRsharing.mct09a","doi":"10.25504/FAIRsharing.mct09a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Molecular Process Ontology (MOP) was created to work together with the Name Reaction Ontology (RXNO). MOP describes underlying molecular processes in organic reactions such as cyclization, methylation and demethylation.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12111}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Chemistry"],"domains":["Reaction data"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2537,"relation":"applies_to_content"}],"grants":[{"id":8646,"fairsharing_record_id":577,"organisation_id":2467,"relation":"maintains","created_at":"2021-12-13T21:00:43.299Z","updated_at":"2021-12-13T21:00:43.299Z","grant_id":null,"is_lead":true,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"579","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T12:07:20.428Z","metadata":{"doi":"10.25504/FAIRsharing.yqn857","name":"Ontology of Arthropod Circulatory Systems","status":"uncertain","contacts":[{"contact_name":"Matt Yoder","contact_email":"mjyoder@illinois.edu"},{"contact_name":"Christian S. Wirkner ","contact_email":"christian.wirkner@uni-rostock.de","contact_orcid":null}],"homepage":"https://github.com/aszool/oarcs","citations":[],"identifier":579,"description":"OArCS is a structural model for the description of anatomical features (morphemes) using ontologies. Its domain is the Arthropod ciruclatory system. This ontology has not been updated recently, and therefore has been marked as uncertain. Please get in touch with us if you have any information.","abbreviation":"OArCS","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OARCS","name":"OARCS","portal":"BioPortal"}]},"legacy_ids":["bsg-000762","bsg-s000762"],"name":"FAIRsharing record for: Ontology of Arthropod Circulatory Systems","abbreviation":"OArCS","url":"https://fairsharing.org/10.25504/FAIRsharing.yqn857","doi":"10.25504/FAIRsharing.yqn857","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OArCS is a structural model for the description of anatomical features (morphemes) using ontologies. Its domain is the Arthropod ciruclatory system. This ontology has not been updated recently, and therefore has been marked as uncertain. Please get in touch with us if you have any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Angiology"],"domains":[],"taxonomies":["Arthropoda"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":3139,"pubmed_id":null,"title":"The first organ-based free ontology for arthropods (Ontology of Arthropod Circulatory Systems - OArCS) and its integration into a novel formalization scheme for morphological descriptions","year":2017,"url":"http://dx.doi.org/10.1093/sysbio/syw108","authors":"Wirkner, Christian S.; Göpel, Torben; Runge, Jens; Keiler, Jonas; Klussmann-Fricke, Bastian-Jesper; Huckstorf, Katarina; Scholz, Stephan; Mikó, Istvan; Yoder, Matt; Richter, Stefan; ","journal":"Syst Biol","doi":"10.1093/sysbio/syw108","created_at":"2021-11-25T22:21:49.614Z","updated_at":"2021-11-25T22:21:49.614Z"}],"licence_links":[],"grants":[{"id":8610,"fairsharing_record_id":579,"organisation_id":2071,"relation":"funds","created_at":"2021-11-25T22:24:03.724Z","updated_at":"2021-11-25T22:24:03.724Z","grant_id":1822,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI 13-56515","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8611,"fairsharing_record_id":579,"organisation_id":3320,"relation":"maintains","created_at":"2021-11-25T22:24:03.813Z","updated_at":"2021-11-25T22:24:03.813Z","grant_id":null,"is_lead":true,"saved_state":{"id":3320,"name":"The University of Rostock","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"580","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:08.745Z","metadata":{"doi":"10.25504/FAIRsharing.89qcm2","name":"Neuroscience Information Framework Gross Anatomy","status":"deprecated","contacts":[],"homepage":"http://purl.bioontology.org/ontology/nif","citations":[],"identifier":580,"description":"The \"Neuroscience Information Framework Gross Anatomy\" was developed as part of the NIF Standard Ontologies. It extended NeuroNames by including terms from BIRNLex, SumsDB, BrainMap.org, etc.; for multi-scale\nrepresentation of the nervous system and macroscopic anatomy. For more information, see the article \"Development and use of Ontologies Inside the Neuroscience Information Framework: A Practical Approach\" \nFT Imam et al, Front Genet 2012 Jun 22; 3:111. doi: 10.3389/fgene.2012.00111. eCollection 2012 https://pubmed.ncbi.nlm.nih.gov/22737162/","abbreviation":"NIF_GrossAnatomy","year_creation":2011,"deprecation_date":"2022-11-30","deprecation_reason":"Incorporated in/superseded by the NIF Standard Ontology (https://fairsharing.org/FAIRsharing.vgw1m6). Already listed as deprecated in its OBO entry https://obofoundry.org/ontology/nif_grossanatomy.html"},"legacy_ids":["bsg-000126","bsg-s000126"],"name":"FAIRsharing record for: Neuroscience Information Framework Gross Anatomy","abbreviation":"NIF_GrossAnatomy","url":"https://fairsharing.org/10.25504/FAIRsharing.89qcm2","doi":"10.25504/FAIRsharing.89qcm2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The \"Neuroscience Information Framework Gross Anatomy\" was developed as part of the NIF Standard Ontologies. It extended NeuroNames by including terms from BIRNLex, SumsDB, BrainMap.org, etc.; for multi-scale\nrepresentation of the nervous system and macroscopic anatomy. For more information, see the article \"Development and use of Ontologies Inside the Neuroscience Information Framework: A Practical Approach\" \nFT Imam et al, Front Genet 2012 Jun 22; 3:111. doi: 10.3389/fgene.2012.00111. eCollection 2012 https://pubmed.ncbi.nlm.nih.gov/22737162/","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":11533,"fairsharing_record_id":580,"organisation_id":2144,"relation":"maintains","created_at":"2024-03-21T13:58:08.667Z","updated_at":"2024-03-21T13:58:08.667Z","grant_id":null,"is_lead":false,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"581","type":"fairsharing_records","attributes":{"created_at":"2020-04-25T14:40:14.000Z","updated_at":"2022-11-22T21:01:11.877Z","metadata":{"doi":"10.25504/FAIRsharing.acd824","name":"European Language Social Science Thesaurus","status":"ready","contacts":[{"contact_name":"Carsten Thiel ","contact_email":"carsten.thiel@cessda.eu","contact_orcid":"0000-0003-0804-8992"}],"homepage":"https://thesauri.cessda.eu/en/","citations":[],"identifier":581,"description":"The European Language Social Science Thesaurus (ELSST) is a broad-based, multilingual thesaurus for the social sciences. It is owned and published by the Consortium of European Social Science Data Archives (CESSDA) and its national Service Providers. The thesaurus consists of over 3,300 concepts and covers the core social science disciplines: politics, sociology, economics, education, law, crime, demography, health, employment, information, communication technology, and environmental science.\nELSST is used for data discovery within CESSDA and facilitates access to data resources across Europe, independent of domain, resource, language, or vocabulary.\n\nELSST is currently available in 16 languages: Danish, Dutch, Czech, English, Finnish, French, German, Greek, Hungarian, Icelandic, Lithuanian, Norwegian, Romanian, Slovenian, Spanish, and Swedish","abbreviation":"ELSST","support_links":[{"url":"https://twitter.com/CESSDA_Data/","type":"Twitter"},{"url":"https://elsst.cessda.eu/guide/using-elsst","name":"Using ELSST","type":"Help documentation"},{"url":"support@cessda.eu","type":"Support email"},{"url":"https://www.youtube.com/channel/UCqbZKb1Enh-WcFpg6t86wsA","name":"CESSDA YouTube Channel","type":"Video"},{"url":"https://zenodo.org/record/7097110","name":"The European Language Social Science Thesaurus (ELSST)","type":"Other"}],"year_creation":2000},"legacy_ids":["bsg-001466","bsg-s001466"],"name":"FAIRsharing record for: European Language Social Science Thesaurus","abbreviation":"ELSST","url":"https://fairsharing.org/10.25504/FAIRsharing.acd824","doi":"10.25504/FAIRsharing.acd824","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Language Social Science Thesaurus (ELSST) is a broad-based, multilingual thesaurus for the social sciences. It is owned and published by the Consortium of European Social Science Data Archives (CESSDA) and its national Service Providers. The thesaurus consists of over 3,300 concepts and covers the core social science disciplines: politics, sociology, economics, education, law, crime, demography, health, employment, information, communication technology, and environmental science.\nELSST is used for data discovery within CESSDA and facilitates access to data resources across Europe, independent of domain, resource, language, or vocabulary.\n\nELSST is currently available in 16 languages: Danish, Dutch, Czech, English, Finnish, French, German, Greek, Hungarian, Icelandic, Lithuanian, Norwegian, Romanian, Slovenian, Spanish, and Swedish","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Social Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Norway","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2709,"relation":"applies_to_content"}],"grants":[{"id":5904,"fairsharing_record_id":581,"organisation_id":602,"relation":"funds","created_at":"2021-09-30T09:27:42.322Z","updated_at":"2021-09-30T09:27:42.322Z","grant_id":null,"is_lead":false,"saved_state":{"id":602,"name":"Consortium of European Social Science Data Archives","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5905,"fairsharing_record_id":581,"organisation_id":602,"relation":"maintains","created_at":"2021-09-30T09:27:42.348Z","updated_at":"2022-11-22T13:27:42.475Z","grant_id":null,"is_lead":true,"saved_state":{"id":602,"name":"Consortium of European Social Science Data Archives","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ee784912b873e09e9d907ebf15f37fb26c0ce50d/Screenshot%20from%202022-11-22%2021-00-34.png?disposition=inline","exhaustive_licences":true}},{"id":"551","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.320Z","metadata":{"doi":"10.25504/FAIRsharing.3kcgmr","name":"Common Anatomy Reference Ontology","status":"ready","contacts":[{"contact_name":"Melissa Haendel","contact_email":"haendel@ohsu.edu","contact_orcid":"0000-0001-9114-8737"}],"homepage":"http://bioportal.bioontology.org/ontologies/CARO?p=summary","identifier":551,"description":"The Common Anatomy Reference Ontology (CARO) is being developed to facilitate interoperability between existing anatomy ontologies for different species, and will provide a template for building new anatomy ontologies.","abbreviation":"CARO","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CARO","name":"CARO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/caro.html","name":"caro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000008","bsg-s000008"],"name":"FAIRsharing record for: Common Anatomy Reference Ontology","abbreviation":"CARO","url":"https://fairsharing.org/10.25504/FAIRsharing.3kcgmr","doi":"10.25504/FAIRsharing.3kcgmr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Common Anatomy Reference Ontology (CARO) is being developed to facilitate interoperability between existing anatomy ontologies for different species, and will provide a template for building new anatomy ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11913}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Annotation"],"taxonomies":["Vertebrata"],"user_defined_tags":["Interoperability"],"countries":["United States"],"publications":[{"id":1005,"pubmed_id":null,"title":"CARO – The Common Anatomy Reference Ontology","year":2008,"url":"http://doi.org/10.1007/978-1-84628-885-2_16","authors":"Melissa A. Haendel, Fabian Neuhaus, David Osumi-Sutherland, Paula M. Mabee, Jos L.V. MejinoJr., Chris J. Mungall, Barry Smith","journal":"Anatomy Ontologies for Bioinformatics, Volume 6 of the series Computational Biology pp 327-349","doi":"10.1007/978-1-84628-885-2_16","created_at":"2021-09-30T08:24:11.205Z","updated_at":"2021-09-30T08:24:11.205Z"},{"id":2325,"pubmed_id":null,"title":"Anatomy Ontologies for Bioinformatics","year":2008,"url":"https://www.springer.com/gp/book/9781846288845","authors":"Albert Burger, Duncan Davidson and Richard Baldock","journal":"Springer","doi":null,"created_at":"2021-09-30T08:26:45.393Z","updated_at":"2021-09-30T08:26:45.393Z"}],"licence_links":[],"grants":[{"id":5862,"fairsharing_record_id":551,"organisation_id":378,"relation":"maintains","created_at":"2021-09-30T09:27:41.247Z","updated_at":"2021-09-30T09:27:41.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":378,"name":"CARO administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"552","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:18.037Z","metadata":{"doi":"10.25504/FAIRsharing.75nsn6","name":"Neuroimaging Data Model","status":"ready","contacts":[{"contact_name":"Nolan Nichols","contact_email":"nolan.nichols@gmail.com","contact_orcid":"0000-0003-1099-3328"}],"homepage":"http://nidm.nidash.org/","identifier":552,"description":"The Neuroimaging Data Model (NIDM) is a collection of specification documents and examples that outline a domain specific extension to the W3C Provenance Data Model (PROV-DM) for the exchange and sharing of human brain imaging data. The goal of the data model is to capture data, information about the data and processes that generated the data (i.e. provenance). This information can be converted to RDF and therefore queried using SPARQL. This representation allows machine accessible representations of brain imaging data and will provide links to related resources such as publications, virtual machines, people and funding agencies.","abbreviation":"NIDM","support_links":[{"url":"info@nidash.org","type":"Support email"},{"url":"http://nidm.nidash.org/getting-started/","type":"Help documentation"},{"url":"https://github.com/incf-nidash","type":"Github"},{"url":"http://nidm.nidash.org/specs/","type":"Help documentation"},{"url":"https://twitter.com/INCForg","type":"Twitter"}],"year_creation":2014},"legacy_ids":["bsg-000546","bsg-s000546"],"name":"FAIRsharing record for: Neuroimaging Data Model","abbreviation":"NIDM","url":"https://fairsharing.org/10.25504/FAIRsharing.75nsn6","doi":"10.25504/FAIRsharing.75nsn6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neuroimaging Data Model (NIDM) is a collection of specification documents and examples that outline a domain specific extension to the W3C Provenance Data Model (PROV-DM) for the exchange and sharing of human brain imaging data. The goal of the data model is to capture data, information about the data and processes that generated the data (i.e. provenance). This information can be converted to RDF and therefore queried using SPARQL. This representation allows machine accessible representations of brain imaging data and will provide links to related resources such as publications, virtual machines, people and funding agencies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology","Life Science"],"domains":["Imaging","Image","Brain","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["United States"],"publications":[{"id":1332,"pubmed_id":23727024,"title":"Towards structured sharing of raw and derived neuroimaging data across existing resources.","year":2013,"url":"http://doi.org/10.1016/j.neuroimage.2013.05.094","authors":"Keator DB,Helmer K,Steffener J,Turner JA,Van Erp TG,Gadde S,Ashish N,Burns GA,Nichols BN","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2013.05.094","created_at":"2021-09-30T08:24:49.076Z","updated_at":"2021-09-30T08:24:49.076Z"}],"licence_links":[],"grants":[{"id":5863,"fairsharing_record_id":552,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:41.272Z","updated_at":"2021-09-30T09:31:14.291Z","grant_id":1080,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"100309/Z/12/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5866,"fairsharing_record_id":552,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:27:41.351Z","updated_at":"2021-09-30T09:27:41.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5864,"fairsharing_record_id":552,"organisation_id":267,"relation":"funds","created_at":"2021-09-30T09:27:41.297Z","updated_at":"2021-09-30T09:30:46.898Z","grant_id":867,"is_lead":false,"saved_state":{"id":267,"name":"Biomedical Informatics Research Network (BIRN)","grant":"NIH 1 U24 RR025736-01","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5865,"fairsharing_record_id":552,"organisation_id":999,"relation":"funds","created_at":"2021-09-30T09:27:41.321Z","updated_at":"2021-09-30T09:30:18.379Z","grant_id":647,"is_lead":false,"saved_state":{"id":999,"name":"FBIRN","grant":"NIH 1 U24 U24 RR021992","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"553","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:53.935Z","metadata":{"doi":"10.25504/FAIRsharing.mk2fp3","name":"CDISC Dataset-XML","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/dataset-xml","identifier":553,"description":"Dataset-XML supports exchanging tabular data in clinical research applications using ODM-based XML technologies, enabling the communication of study datasets for regulatory submissions.","abbreviation":"Dataset-XML"},"legacy_ids":["bsg-000567","bsg-s000567"],"name":"FAIRsharing record for: CDISC Dataset-XML","abbreviation":"Dataset-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.mk2fp3","doi":"10.25504/FAIRsharing.mk2fp3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dataset-XML supports exchanging tabular data in clinical research applications using ODM-based XML technologies, enabling the communication of study datasets for regulatory submissions.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17391},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11810},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12058},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12483}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens","Metazoa"],"user_defined_tags":["Non-clinical trial"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5868,"fairsharing_record_id":553,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:41.415Z","updated_at":"2021-09-30T09:27:41.415Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5867,"fairsharing_record_id":553,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:27:41.381Z","updated_at":"2021-09-30T09:27:41.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"559","type":"fairsharing_records","attributes":{"created_at":"2016-09-06T15:44:38.000Z","updated_at":"2021-11-24T13:18:38.352Z","metadata":{"doi":"10.25504/FAIRsharing.6bw40w","name":"Graphical Pathway Markup Language","status":"ready","homepage":"https://www.pathvisio.org/gpml/","identifier":559,"description":"Markup Language for graphical representations of biological pathways.","abbreviation":"GPML","support_links":[{"url":"https://www.pathvisio.org/data/gpml/GPML2013a.xsd.html","name":"Technical Documentation","type":"Help documentation"}],"associated_tools":[{"url":"http://pathvisio.org/","name":"PathVisio"}]},"legacy_ids":["bsg-000675","bsg-s000675"],"name":"FAIRsharing record for: Graphical Pathway Markup Language","abbreviation":"GPML","url":"https://fairsharing.org/10.25504/FAIRsharing.6bw40w","doi":"10.25504/FAIRsharing.6bw40w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Markup Language for graphical representations of biological pathways.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Systems Biology"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands","United States"],"publications":[],"licence_links":[],"grants":[{"id":5878,"fairsharing_record_id":559,"organisation_id":2989,"relation":"maintains","created_at":"2021-09-30T09:27:41.664Z","updated_at":"2021-09-30T09:27:41.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":2989,"name":"Universiteit Maastricht, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"560","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-12-20T16:34:51.103Z","metadata":{"doi":"10.25504/FAIRsharing.x6dcc7","name":"Minimum Information about an ENVironmental transcriptomic experiment","status":"deprecated","contacts":[{"contact_name":"NEBC Team","contact_email":"admin@nebc.nox.ac.uk"},{"contact_name":"Fiona Goff","contact_email":"fiona.goff@nerc.ukri.org","contact_orcid":null}],"homepage":"http://nebc.nox.ac.uk/miame/miame_env.html","citations":[],"identifier":560,"description":"MIAME defines a conceptual structure for defining the core information that is common to most microarray experiments. MIAME/Env is an extension of these guidelines to cover environmental genomics.","abbreviation":"MIAME/Env","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/mged-envg","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIAME-Env.shtml","type":"Help documentation"},{"url":"http://nebc.nox.ac.uk/miame/MIAME1.6-envDraft-2.pdf","type":"Help documentation"}],"year_creation":2003,"deprecation_date":"2021-12-17","deprecation_reason":"The organisation has confirmed that the website is no longer in use and the resource should be deprecated."},"legacy_ids":["bsg-000168","bsg-s000168"],"name":"FAIRsharing record for: Minimum Information about an ENVironmental transcriptomic experiment","abbreviation":"MIAME/Env","url":"https://fairsharing.org/10.25504/FAIRsharing.x6dcc7","doi":"10.25504/FAIRsharing.x6dcc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME defines a conceptual structure for defining the core information that is common to most microarray experiments. MIAME/Env is an extension of these guidelines to cover environmental genomics.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11578},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11972},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12421}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Ribonucleic acid","Environmental material","Nucleic acid hybridization","DNA microarray"],"taxonomies":["All"],"user_defined_tags":["Metatranscriptome"],"countries":["United Kingdom"],"publications":[{"id":1387,"pubmed_id":16901223,"title":"Annotation of environmental OMICS data: application to the transcriptomics domain.","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.172","authors":"Morrison N,Wood AJ,Hancock D,Shah S,Hakes L,Gray T,Tiwari B,Kille P,Cossins A,Hegarty M,Allen MJ,Wilson WH,Olive P,Last K,Kramer C,Bailhache T,Reeves J,Pallett D,Warne J,Nashar K,Parkinson H,Sansone SA,Rocca-Serra P,Stevens R,Snape J,Brass A,Field D","journal":"OMICS","doi":"10.1089/omi.2006.10.172","created_at":"2021-09-30T08:24:55.076Z","updated_at":"2021-09-30T08:24:55.076Z"}],"licence_links":[],"grants":[{"id":8652,"fairsharing_record_id":560,"organisation_id":2090,"relation":"maintains","created_at":"2021-12-17T11:08:52.998Z","updated_at":"2021-12-17T11:08:52.998Z","grant_id":null,"is_lead":true,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"575","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:21.248Z","metadata":{"doi":"10.25504/FAIRsharing.s51qk5","name":"CDISC Study Data Tabulation Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/sdtm","identifier":575,"description":"SDTM provides a standard for organizing and formatting data to streamline processes in collection, management, analysis and reporting. Implementing SDTM supports data aggregation and warehousing; fosters mining and reuse; facilitates sharing; helps perform due diligence and other important data review activities; and improves the regulatory review and approval process. SDTM is also used in non-clinical data (SEND), medical devices and pharmacogenomics/genetics studies.","abbreviation":"CDISC SDTM","support_links":[{"url":"https://www.cdisc.org/education/course/sdtm-theory-and-application","name":"SDTM Theory and Application","type":"Training documentation"},{"url":"https://www.cdisc.org/education/course/sdtm-theory-and-application-medical-devices","name":"SDTM Theory and Application for Medical Devices","type":"Training documentation"}]},"legacy_ids":["bsg-000049","bsg-s000049"],"name":"FAIRsharing record for: CDISC Study Data Tabulation Model","abbreviation":"CDISC SDTM","url":"https://fairsharing.org/10.25504/FAIRsharing.s51qk5","doi":"10.25504/FAIRsharing.s51qk5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SDTM provides a standard for organizing and formatting data to streamline processes in collection, management, analysis and reporting. Implementing SDTM supports data aggregation and warehousing; fosters mining and reuse; facilitates sharing; helps perform due diligence and other important data review activities; and improves the regulatory review and approval process. SDTM is also used in non-clinical data (SEND), medical devices and pharmacogenomics/genetics studies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17344},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11021},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11266},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11803},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11941},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12405},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16958}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Device"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5897,"fairsharing_record_id":575,"organisation_id":2313,"relation":"maintains","created_at":"2021-09-30T09:27:42.148Z","updated_at":"2021-09-30T09:27:42.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5899,"fairsharing_record_id":575,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:42.198Z","updated_at":"2021-09-30T09:27:42.198Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5898,"fairsharing_record_id":575,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:27:42.172Z","updated_at":"2021-09-30T09:27:42.172Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5900,"fairsharing_record_id":575,"organisation_id":2952,"relation":"maintains","created_at":"2021-09-30T09:27:42.222Z","updated_at":"2021-09-30T09:27:42.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"576","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:20.563Z","metadata":{"doi":"10.25504/FAIRsharing.dbsfqf","name":"Yeast Phenotypes","status":"ready","contacts":[{"contact_name":"SGD Helpdesk","contact_email":"sgd-helpdesk@lists.stanford.edu","contact_orcid":"0000-0001-9163-5180"}],"homepage":"http://www.yeastgenome.org/ontology/phenotype/ypo/overview","identifier":576,"description":"Features of Saccharomyces cerevisiae cells, cultures, or colonies that can be detected, observed, measured, or monitored.","abbreviation":"YPO"},"legacy_ids":["bsg-000292","bsg-s000292"],"name":"FAIRsharing record for: Yeast Phenotypes","abbreviation":"YPO","url":"https://fairsharing.org/10.25504/FAIRsharing.dbsfqf","doi":"10.25504/FAIRsharing.dbsfqf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Features of Saccharomyces cerevisiae cells, cultures, or colonies that can be detected, observed, measured, or monitored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phylogenetics","Life Science"],"domains":["Gene Ontology enrichment","Phenotype"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5902,"fairsharing_record_id":576,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:42.272Z","updated_at":"2021-09-30T09:27:42.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5901,"fairsharing_record_id":576,"organisation_id":2479,"relation":"maintains","created_at":"2021-09-30T09:27:42.248Z","updated_at":"2021-09-30T09:27:42.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":2479,"name":"Saccharomyces Genome Database","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"728","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:22:16.645Z","metadata":{"doi":"10.25504/FAIRsharing.czzmpg","name":"Wheat Ontology","status":"ready","contacts":[{"contact_name":"Rosemary Shrestha","contact_email":"R.Shrestha2@cgiar.org","contact_orcid":"0000-0002-9399-8003"}],"homepage":"https://cropontology.org/term/CO_321:ROOT","citations":[],"identifier":728,"description":"This ontology defines traits of the International Wheat Information System (IWIS) database and wheat descriptor. The Wheat Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_321","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Feedback","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CO-WHEAT","name":"CO-WHEAT","portal":"BioPortal"}]},"legacy_ids":["bsg-002696","bsg-s002696"],"name":"FAIRsharing record for: Wheat Ontology","abbreviation":"CO_321","url":"https://fairsharing.org/10.25504/FAIRsharing.czzmpg","doi":"10.25504/FAIRsharing.czzmpg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology defines traits of the International Wheat Information System (IWIS) database and wheat descriptor. The Wheat Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16733}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Triticum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1306,"pubmed_id":22476066,"title":"Multifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature.","year":2010,"url":"http://doi.org/10.1093/aobpla/plq008","authors":"Shrestha R,Arnaud E,Mauleon R,Senger M,Davenport GF,Hancock D,Morrison N,Bruskiewich R,McLaren G","journal":"AoB Plants","doi":"10.1093/aobpla/plq008","created_at":"2021-09-30T08:24:45.859Z","updated_at":"2021-09-30T08:24:45.859Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1853,"relation":"undefined"}],"grants":[{"id":6084,"fairsharing_record_id":728,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:48.095Z","updated_at":"2021-09-30T09:27:48.095Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6087,"fairsharing_record_id":728,"organisation_id":1101,"relation":"funds","created_at":"2021-09-30T09:27:48.204Z","updated_at":"2021-09-30T09:29:25.929Z","grant_id":247,"is_lead":false,"saved_state":{"id":1101,"name":"Generation Challenge Programme, Mexico","grant":"G4009-03","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8383,"fairsharing_record_id":728,"organisation_id":1101,"relation":"funds","created_at":"2021-09-30T09:32:23.193Z","updated_at":"2021-09-30T09:32:23.244Z","grant_id":1596,"is_lead":false,"saved_state":{"id":1101,"name":"Generation Challenge Programme, Mexico","grant":"G4005.22","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6085,"fairsharing_record_id":728,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:27:48.148Z","updated_at":"2021-09-30T09:27:48.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6086,"fairsharing_record_id":728,"organisation_id":490,"relation":"maintains","created_at":"2021-09-30T09:27:48.180Z","updated_at":"2021-09-30T09:27:48.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":490,"name":"CGIAR Research Program on Wheat","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6082,"fairsharing_record_id":728,"organisation_id":2118,"relation":"funds","created_at":"2021-09-30T09:27:48.046Z","updated_at":"2021-09-30T09:32:45.946Z","grant_id":1768,"is_lead":false,"saved_state":{"id":2118,"name":"NERC Environmental Bioinformatics Centre","grant":"F3/G13/18/04","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6083,"fairsharing_record_id":728,"organisation_id":887,"relation":"funds","created_at":"2021-09-30T09:27:48.071Z","updated_at":"2021-09-30T09:30:41.113Z","grant_id":821,"is_lead":false,"saved_state":{"id":887,"name":"EU FP6 ActinoGEN project","grant":"EU Framework 6 ActinoGEN project","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"729","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:06.763Z","metadata":{"doi":"10.25504/FAIRsharing.jb7wzc","name":"Marine Environmental Data and Information Network checklist","status":"ready","contacts":[{"contact_name":"Metadata Helpdesk","contact_email":"medin.metadata@mba.ac.uk"}],"homepage":"http://www.oceannet.org/marine_data_standards/medin_disc_stnd.html","identifier":729,"description":"MEDIN is a list of information that accompanies a data set and allows other people to find out what the data set contains, where it was collected and how they can get hold of it. It is a standard for marine metadata and a set of tools to create metadata records that comply with the MEDIN Metadata Standard.","abbreviation":"MEDIN","support_links":[{"url":"http://www.oceannet.org/marine_data_standards/mds_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.oceannet.org/library/key_documents/key_docs.html","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000555","bsg-s000555"],"name":"FAIRsharing record for: Marine Environmental Data and Information Network checklist","abbreviation":"MEDIN","url":"https://fairsharing.org/10.25504/FAIRsharing.jb7wzc","doi":"10.25504/FAIRsharing.jb7wzc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MEDIN is a list of information that accompanies a data set and allows other people to find out what the data set contains, where it was collected and how they can get hold of it. It is a standard for marine metadata and a set of tools to create metadata records that comply with the MEDIN Metadata Standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"OceanNet Privacy Policy","licence_id":608,"licence_url":"http://www.oceannet.org/privacy_and_cookies/","link_id":85,"relation":"undefined"}],"grants":[{"id":6088,"fairsharing_record_id":729,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:27:48.228Z","updated_at":"2021-09-30T09:27:48.228Z","grant_id":null,"is_lead":false,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"730","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T22:15:33.000Z","updated_at":"2023-09-29T11:54:57.742Z","metadata":{"doi":"10.25504/FAIRsharing.bb70ee","name":"Language resource management - Lexical markup framework (LMF)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37327.html","citations":[],"identifier":730,"description":"ISO 24613:2008 describes the Lexical Markup Framework (LMF), a metamodel for representing data in lexical databases used with monolingual and multilingual computer applications. LMF provides mechanisms that allow the development and integration of a variety of electronic lexical resource types. These mechanisms will present existing lexicons as far as possible. If this is impossible, problematic information will be identified and isolated. This standard will be revised, with the new revision consisting of five parts, however until this time, this version remains current.","abbreviation":"ISO 24613:2008","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37327.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2008},"legacy_ids":["bsg-001250","bsg-s001250"],"name":"FAIRsharing record for: Language resource management - Lexical markup framework (LMF)","abbreviation":"ISO 24613:2008","url":"https://fairsharing.org/10.25504/FAIRsharing.bb70ee","doi":"10.25504/FAIRsharing.bb70ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24613:2008 describes the Lexical Markup Framework (LMF), a metamodel for representing data in lexical databases used with monolingual and multilingual computer applications. LMF provides mechanisms that allow the development and integration of a variety of electronic lexical resource types. These mechanisms will present existing lexicons as far as possible. If this is impossible, problematic information will be identified and isolated. This standard will be revised, with the new revision consisting of five parts, however until this time, this version remains current.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":287,"relation":"undefined"}],"grants":[{"id":10918,"fairsharing_record_id":730,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:08:18.822Z","updated_at":"2023-09-27T14:08:18.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6089,"fairsharing_record_id":730,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:27:48.254Z","updated_at":"2021-09-30T09:27:48.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"731","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T15:37:09.037Z","metadata":{"doi":"10.25504/FAIRsharing.xk98ez","name":"NimbleGen Gene Description","status":"deprecated","contacts":[],"homepage":"https://dmac.cbs.dtu.dk/service/data-formats","citations":[],"identifier":731,"description":"The NimbleGen Gene Description is a text tabular format that contains descriptive information (annotation) about the genes on an array. Please note that Roche issued a statement in 2012 as follows: \"As previously announced in June 2012, Roche has exited the DNA microarray business. All products and services for NimbleGen CGH, ChIP-chip, DNA Methylation, AccuSNP, CGS, and Gene Expression microarrays and their associated workflows are no longer available from Roche\" (Source: http://genomics.nd.edu/nimblegen-microarrays).","abbreviation":null,"deprecation_date":"2023-03-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n"},"legacy_ids":["bsg-000251","bsg-s000251"],"name":"FAIRsharing record for: NimbleGen Gene Description","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xk98ez","doi":"10.25504/FAIRsharing.xk98ez","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NimbleGen Gene Description is a text tabular format that contains descriptive information (annotation) about the genes on an array. Please note that Roche issued a statement in 2012 as follows: \"As previously announced in June 2012, Roche has exited the DNA microarray business. All products and services for NimbleGen CGH, ChIP-chip, DNA Methylation, AccuSNP, CGS, and Gene Expression microarrays and their associated workflows are no longer available from Roche\" (Source: http://genomics.nd.edu/nimblegen-microarrays).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12437}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Expression data","Annotation","Deoxyribonucleic acid","Microarray experiment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"732","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-03T11:12:09.639Z","metadata":{"doi":"10.25504/FAIRsharing.qrr33y","name":"Flow Cytometry Data File Standard","status":"ready","contacts":[{"contact_name":"Ryan R. Brinkman","contact_email":"rbrinkman@bccrc.ca","contact_orcid":"0000-0002-9765-2990"}],"homepage":"https://isac-net.org/page/Data-Standards","citations":[],"identifier":732,"description":"The flow cytometry data file standard provides the specifications needed to completely describe flow cytometry data sets within the confines of the file containing the experimental data.","abbreviation":"FCS","support_links":[{"url":"isac@isac-net.org","type":"Support email"},{"url":"https://acrobat.adobe.com/link/review?uri=urn:aaid:scds:US:6a9bb787-839c-3d29-9800-4191c3209260","name":"Normative version of the FCS 3.1 specification","type":"Help documentation"},{"url":"http://onlinelibrary.wiley.com/doi/10.1002/cyto.a.22018/pdf","name":"FCS 3.1 Implementation Guidance","type":"Help documentation"}],"year_creation":1984},"legacy_ids":["bsg-000565","bsg-s000565"],"name":"FAIRsharing record for: Flow Cytometry Data File Standard","abbreviation":"FCS","url":"https://fairsharing.org/10.25504/FAIRsharing.qrr33y","doi":"10.25504/FAIRsharing.qrr33y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The flow cytometry data file standard provides the specifications needed to completely describe flow cytometry data sets within the confines of the file containing the experimental data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","United States","European Union"],"publications":[{"id":659,"pubmed_id":19937951,"title":"Data File Standard for Flow Cytometry, version FCS 3.1.","year":2009,"url":"http://doi.org/10.1002/cyto.a.20825","authors":"Spidlen J, Moore W, Parks D, Goldberg M, Bray C, Bierre P, Gorombey P, Hyun B, Hubbard M, Lange S, Lefebvre R, Leif R, Novo D, Ostruszka L, Treister A, Wood J, Murphy RF, Roederer M, Sudar D, Zigon R, Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.20825","created_at":"2021-09-30T08:23:32.752Z","updated_at":"2021-09-30T08:23:32.752Z"}],"licence_links":[],"grants":[{"id":6091,"fairsharing_record_id":732,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:48.306Z","updated_at":"2021-09-30T09:27:48.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6090,"fairsharing_record_id":732,"organisation_id":1515,"relation":"funds","created_at":"2021-09-30T09:27:48.278Z","updated_at":"2021-09-30T09:27:48.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":1515,"name":"International Society for Advancement of Cytometry (ISAC)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6092,"fairsharing_record_id":732,"organisation_id":1829,"relation":"funds","created_at":"2021-09-30T09:27:48.330Z","updated_at":"2021-09-30T09:27:48.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":1829,"name":"Michael Smith Foundation for Health Research, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"733","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:47.073Z","metadata":{"doi":"10.25504/FAIRsharing.y9d8rt","name":"Proteomics Pipeline Infrastructure for CPTAC","status":"uncertain","contacts":[{"contact_name":"Fan Zhang","contact_email":"fanzhan@iupui.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1192","identifier":733,"description":"A basic ontology which describes the proteomics pipeline infrastructure for CPTAC project","abbreviation":"CPTAC","support_links":[{"url":"cancer.proteomics@mail.nih.gov","type":"Support email"},{"url":"https://proteomics.cancer.gov/programs/cptac","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-002591","bsg-s002591"],"name":"FAIRsharing record for: Proteomics Pipeline Infrastructure for CPTAC","abbreviation":"CPTAC","url":"https://fairsharing.org/10.25504/FAIRsharing.y9d8rt","doi":"10.25504/FAIRsharing.y9d8rt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A basic ontology which describes the proteomics pipeline infrastructure for CPTAC project","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12520}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Proteomics","Life Science"],"domains":["Data acquisition","Data transformation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"734","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2024-05-02T14:41:43.302Z","metadata":{"doi":"10.25504/FAIRsharing.9xcr4z","name":"CIDOC Conceptual Reference Model","status":"ready","contacts":[{"contact_name":"Patrick Le Bœuf","contact_email":"patrick.le-boeuf@bnf.fr"}],"homepage":"https://www.cidoc-crm.org/","citations":[],"identifier":734,"description":"The CIDOC Conceptual Reference Model (CRM) provides definitions and a formal structure for describing the implicit and explicit concepts and relationships used in cultural heritage documentation. The overall scope of the CIDOC CRM can be summarised in simple terms as the curated, factual knowledge\nabout the past at a human scale. The CIDOC CRM is intended to promote a shared understanding of cultural heritage information by providing a common and extensible semantic framework that any cultural heritage information can be mapped to. It is intended to be a common language for domain experts and implementers to formulate requirements for information systems and to serve as a guide for good practice of conceptual modelling. In this way, it can provide the \"semantic glue\" needed to mediate between different sources of cultural heritage information, such as that published by museums, libraries and archives. The ISO 21127:2014 specification (Information and documentation — A reference ontology for the interchange of cultural heritage information) was created from the CIDOC CRM, although the CIDOC CRM Special Interest Group continues to maintain this original document as well.","abbreviation":"CIDOC-CRM","support_links":[{"url":"https://cidoc-crm.org/collaborations","name":"Collaborations and Compatible Models","type":"Help documentation"},{"url":"https://cidoc-crm.org/useCasesPage","name":"Use Cases","type":"Training documentation"},{"url":"https://cidoc-crm.org/cidoc-crm-tutorial","name":"Tutorial","type":"Training documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIDOC-CRM","name":"CIDOC-CRM","portal":"BioPortal"}]},"legacy_ids":["bsg-000858","bsg-s000858"],"name":"FAIRsharing record for: CIDOC Conceptual Reference Model","abbreviation":"CIDOC-CRM","url":"https://fairsharing.org/10.25504/FAIRsharing.9xcr4z","doi":"10.25504/FAIRsharing.9xcr4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CIDOC Conceptual Reference Model (CRM) provides definitions and a formal structure for describing the implicit and explicit concepts and relationships used in cultural heritage documentation. The overall scope of the CIDOC CRM can be summarised in simple terms as the curated, factual knowledge\nabout the past at a human scale. The CIDOC CRM is intended to promote a shared understanding of cultural heritage information by providing a common and extensible semantic framework that any cultural heritage information can be mapped to. It is intended to be a common language for domain experts and implementers to formulate requirements for information systems and to serve as a guide for good practice of conceptual modelling. In this way, it can provide the \"semantic glue\" needed to mediate between different sources of cultural heritage information, such as that published by museums, libraries and archives. The ISO 21127:2014 specification (Information and documentation — A reference ontology for the interchange of cultural heritage information) was created from the CIDOC CRM, although the CIDOC CRM Special Interest Group continues to maintain this original document as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Humanities and Social Science","Cultural Studies","Anthropology"],"domains":["Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":9557,"fairsharing_record_id":734,"organisation_id":3410,"relation":"maintains","created_at":"2022-05-23T15:34:12.639Z","updated_at":"2022-05-23T15:34:12.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":3410,"name":"CIDOC – ICOM International Committee for Documentation","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZUk9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--057a21005e538cb21742ec8a475bf44a6228c707/cidoc.png?disposition=inline","exhaustive_licences":false}},{"id":"758","type":"fairsharing_records","attributes":{"created_at":"2015-04-27T09:25:27.000Z","updated_at":"2022-07-20T09:31:13.424Z","metadata":{"doi":"10.25504/FAIRsharing.me4qwe","name":"DataCite Metadata Schema","status":"ready","contacts":[],"homepage":"https://schema.datacite.org/","citations":[],"identifier":758,"description":"The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes, with recommended use instructions in the documentation. The resource that is being identified can be of any kind, but it is typically a dataset. We use the term ‘dataset’ in its broadest sense. We mean it to include not only numerical data, but any other research objects in keeping with DataCite’s mission (https://datacite.org/value.html). The metadata schema properties are presented and described in detail in the section DataCite Metadata Properties in this document.","abbreviation":null,"support_links":[{"url":"https://blog.datacite.org","name":"Blog","type":"Blog/News"},{"url":"support@datacite.org","name":"General contact","type":"Support email"},{"url":"https://support.datacite.org/","name":"DataCite Support","type":"Help documentation"},{"url":"https://groups.google.com/forum/?hl=en\u0026fromgroups#!forum/datacite-metadata","type":"Forum"},{"url":"https://github.com/datacite/schema","type":"Github"},{"url":"https://twitter.com/datacite","type":"Twitter"}],"year_creation":2009},"legacy_ids":["bsg-000588","bsg-s000588"],"name":"FAIRsharing record for: DataCite Metadata Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.me4qwe","doi":"10.25504/FAIRsharing.me4qwe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes, with recommended use instructions in the documentation. The resource that is being identified can be of any kind, but it is typically a dataset. We use the term ‘dataset’ in its broadest sense. We mean it to include not only numerical data, but any other research objects in keeping with DataCite’s mission (https://datacite.org/value.html). The metadata schema properties are presented and described in detail in the section DataCite Metadata Properties in this document.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18157},{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17341},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18283},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11198},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12940},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13330},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13338},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13353}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Citation","Resource metadata","Annotation","Data retrieval","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":3314,"pubmed_id":null,"title":"DataCite Metadata Schema Documentation for the Publication and Citation of Research Data and Other Research Outputs v4.4","year":2021,"url":"https://doi.org/10.14454/3w3z-sa82","authors":"DataCite Metadata Working Group","journal":"DataCite - International Data Citation","doi":"https://doi.org/10.14454/3w3z-sa82","created_at":"2022-04-14T19:47:46.003Z","updated_at":"2022-04-14T19:47:46.003Z"}],"licence_links":[{"licence_name":"DataCite Privacy Policy","licence_id":218,"licence_url":"https://www.datacite.org/privacy.html","link_id":1072,"relation":"undefined"},{"licence_name":"DataCite Terms and Conditions","licence_id":219,"licence_url":"https://www.datacite.org/terms.html","link_id":1071,"relation":"undefined"}],"grants":[{"id":6147,"fairsharing_record_id":758,"organisation_id":2254,"relation":"maintains","created_at":"2021-09-30T09:27:50.149Z","updated_at":"2021-09-30T09:27:50.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2254,"name":"Open Data Institute (ODI), London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6142,"fairsharing_record_id":758,"organisation_id":1086,"relation":"maintains","created_at":"2021-09-30T09:27:49.950Z","updated_at":"2021-09-30T09:27:49.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1086,"name":"Future of Research Communications and e-Scholarship (FORCE11), Ja Lolla, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6143,"fairsharing_record_id":758,"organisation_id":435,"relation":"maintains","created_at":"2021-09-30T09:27:49.979Z","updated_at":"2021-09-30T09:27:49.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":435,"name":"Center for Open Science","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6145,"fairsharing_record_id":758,"organisation_id":2757,"relation":"maintains","created_at":"2021-09-30T09:27:50.081Z","updated_at":"2021-09-30T09:27:50.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":2757,"name":"The Committee on Data for Science and Technology (CODATA), Paris, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6146,"fairsharing_record_id":758,"organisation_id":620,"relation":"maintains","created_at":"2021-09-30T09:27:50.118Z","updated_at":"2021-09-30T09:27:50.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":620,"name":"CrossRef, Lynnfield, MA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6148,"fairsharing_record_id":758,"organisation_id":3249,"relation":"maintains","created_at":"2021-09-30T09:27:50.248Z","updated_at":"2021-09-30T09:27:50.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":3249,"name":"World Data System, International Council for Science","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6149,"fairsharing_record_id":758,"organisation_id":2426,"relation":"maintains","created_at":"2021-09-30T09:27:50.285Z","updated_at":"2021-09-30T09:27:50.285Z","grant_id":null,"is_lead":false,"saved_state":{"id":2426,"name":"Research Data Alliance (RDA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6150,"fairsharing_record_id":758,"organisation_id":2263,"relation":"maintains","created_at":"2021-09-30T09:27:50.317Z","updated_at":"2021-09-30T09:27:50.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":2263,"name":"Open Research and Contributor ID Initiative (ORCID)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9374,"fairsharing_record_id":758,"organisation_id":647,"relation":"maintains","created_at":"2022-04-11T12:07:34.045Z","updated_at":"2022-04-14T19:48:29.310Z","grant_id":null,"is_lead":true,"saved_state":{"id":647,"name":"DataCite","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"759","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T10:25:40.124Z","metadata":{"doi":"10.25504/FAIRsharing.b4sa0w","name":"Ontology of Organizational Structures of Trauma centers and Trauma systems","status":"ready","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"MBrochhausen@uams.edu"}],"homepage":"https://github.com/OOSTT/OOSTT","citations":[],"identifier":759,"description":"The Ontology of Organizational Structures of Trauma centers and Trauma systems (OOSTT) is a representation of the components of trauma centers and trauma systems coded in Web Ontology Language (OWL2). It is developed collaboratively by domain and ontology experts in the NIH-funded CAFE (Comparative Assessment Framework for Environments of trauma care) project (1R01GM111324-01A1). It will be used as the ontology backbone of a graphical user interface comparing graphical representations of organizational structures.","abbreviation":"OOSTT","support_links":[{"url":"https://github.com/OOSTT/OOSTT/","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OOSTT","name":"OOSTT","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/oostt","name":"OLS - OOSTT","portal":"OLS"},{"url":"https://obofoundry.org/ontology/oostt.html","name":"OBO Foundry - OOSTT","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000888","bsg-s000888"],"name":"FAIRsharing record for: Ontology of Organizational Structures of Trauma centers and Trauma systems","abbreviation":"OOSTT","url":"https://fairsharing.org/10.25504/FAIRsharing.b4sa0w","doi":"10.25504/FAIRsharing.b4sa0w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Organizational Structures of Trauma centers and Trauma systems (OOSTT) is a representation of the components of trauma centers and trauma systems coded in Web Ontology Language (OWL2). It is developed collaboratively by domain and ontology experts in the NIH-funded CAFE (Comparative Assessment Framework for Environments of trauma care) project (1R01GM111324-01A1). It will be used as the ontology backbone of a graphical user interface comparing graphical representations of organizational structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traumatology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2693,"relation":"applies_to_content"}],"grants":[{"id":9554,"fairsharing_record_id":759,"organisation_id":3533,"relation":"maintains","created_at":"2022-05-23T09:47:30.550Z","updated_at":"2022-05-23T09:47:30.550Z","grant_id":null,"is_lead":true,"saved_state":{"id":3533,"name":"Comparative Assessment Framework for Environments of Trauma Care (CAFE-Trauma)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9555,"fairsharing_record_id":759,"organisation_id":2035,"relation":"funds","created_at":"2022-05-23T09:48:35.607Z","updated_at":"2022-05-23T09:48:35.607Z","grant_id":1871,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"1R01GM111324-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"760","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T11:54:07.000Z","updated_at":"2021-11-24T13:15:57.958Z","metadata":{"doi":"10.25504/FAIRsharing.fzkw7z","name":"Plant occurrence and status scheme","status":"ready","homepage":"https://github.com/tdwg/prior-standards/tree/master/poss","identifier":760,"description":"The Plant Occurrence and Status Scheme (POSS) has been developed to provide standard terms for recording the occurrence of a plant taxon for a specific location. As with all standards, POSS aims to provide both a clear, unambiguous framework for information management, and at the same time provides a mechanism for information exchange.While this standard is still in use, it is no longer actively maintained (and is labelled as prior on the TDWG website).","abbreviation":"POSS","support_links":[{"url":"http://lists.tdwg.org/mailman/listinfo","type":"Mailing list"},{"url":"https://github.com/tdwg/prior-standards/blob/master/poss/106-522-1-RV.pdf","type":"Github"}],"year_creation":1995},"legacy_ids":["bsg-000630","bsg-s000630"],"name":"FAIRsharing record for: Plant occurrence and status scheme","abbreviation":"POSS","url":"https://fairsharing.org/10.25504/FAIRsharing.fzkw7z","doi":"10.25504/FAIRsharing.fzkw7z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Occurrence and Status Scheme (POSS) has been developed to provide standard terms for recording the occurrence of a plant taxon for a specific location. As with all standards, POSS aims to provide both a clear, unambiguous framework for information management, and at the same time provides a mechanism for information exchange.While this standard is still in use, it is no longer actively maintained (and is labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12279}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Ecology","Biodiversity"],"domains":["Geographical location"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6151,"fairsharing_record_id":760,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:27:50.350Z","updated_at":"2021-09-30T09:27:50.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"761","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2022-07-22T12:49:55.561Z","metadata":{"doi":"10.25504/FAIRsharing.1wm8em","name":"Disease core ontology applied to Rare Diseases","status":"deprecated","contacts":[{"contact_name":"Ferdinand Dhombres","contact_email":"ferdinand.dhombres@inserm.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/HRDO","citations":[],"identifier":761,"description":"This resource was designed during a PhD in medical informatics (funded by INSERM, 2010-2012). Its components are (i) a core ontology consistent with a metamodel (disorders and groups of disorders, genes, clinical signs and their relations) and (ii) an instantiation of this metamodel with Orphanet Data (available on http://orphadata.org). \u003c/ br\u003e Research experiments demonstrated (i) efficient classifications generation based on SPARQL Construct, (ii) perspectives in semantic audit of a knowledge base, (iii) semantic comparison with OMIM (www.omim.org) using proximity measurements and (iv) opened perspectives in knowledge sharing (LORD, http://lord.bndmr.fr). Current production services of Orphanet developed ORDO, released in 2014, an ontology synchronized with their production database. This ontology is now available on Bioportal.","abbreviation":"HRDO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HRDO","name":"HRDO","portal":"BioPortal"}],"deprecation_date":"2022-07-21","deprecation_reason":"This resource has not been active since 2014, and has therefore been deprecated. Please get in touch if you have any information."},"legacy_ids":["bsg-000902","bsg-s000902"],"name":"FAIRsharing record for: Disease core ontology applied to Rare Diseases","abbreviation":"HRDO","url":"https://fairsharing.org/10.25504/FAIRsharing.1wm8em","doi":"10.25504/FAIRsharing.1wm8em","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource was designed during a PhD in medical informatics (funded by INSERM, 2010-2012). Its components are (i) a core ontology consistent with a metamodel (disorders and groups of disorders, genes, clinical signs and their relations) and (ii) an instantiation of this metamodel with Orphanet Data (available on http://orphadata.org). \u003c/ br\u003e Research experiments demonstrated (i) efficient classifications generation based on SPARQL Construct, (ii) perspectives in semantic audit of a knowledge base, (iii) semantic comparison with OMIM (www.omim.org) using proximity measurements and (iv) opened perspectives in knowledge sharing (LORD, http://lord.bndmr.fr). Current production services of Orphanet developed ORDO, released in 2014, an ontology synchronized with their production database. This ontology is now available on Bioportal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Rare disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"762","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-25T20:56:46.147Z","metadata":{"doi":"10.25504/FAIRsharing.mf91p5","name":"Ontology for MicroRNA Target","status":"ready","contacts":[{"contact_name":"Jingshan Huang","contact_email":"huang@southalabama.edu"}],"homepage":"https://github.com/OmniSearch/omit","citations":[{"doi":"10.1371/journal.pone.0100855","pubmed_id":25025130,"publication_id":1746}],"identifier":762,"description":"The purpose of the OMIT ontology is to establish data exchange standards and common data elements in the microRNA (miR) domain. Biologists (cell biologists in particular) and bioinformaticians can make use of OMIT to leverage emerging semantic technologies in knowledge acquisition and discovery for more effective identification of important roles performed by miRs in humans' various diseases and biological processes (usually through miRs' respective target genes). Please note that, although the ontology is available at the stated GitHub repository, it has not been updated in a number of years and you may wish to carefully review the ontology before use.","abbreviation":"OMIT","support_links":[{"url":"https://github.com/OmniSearch/omit/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/OmniSearch/omit","name":"GitHub Repository","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMIT","name":"OMIT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/omit.html","name":"omit","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002670","bsg-s002670"],"name":"FAIRsharing record for: Ontology for MicroRNA Target","abbreviation":"OMIT","url":"https://fairsharing.org/10.25504/FAIRsharing.mf91p5","doi":"10.25504/FAIRsharing.mf91p5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of the OMIT ontology is to establish data exchange standards and common data elements in the microRNA (miR) domain. Biologists (cell biologists in particular) and bioinformaticians can make use of OMIT to leverage emerging semantic technologies in knowledge acquisition and discovery for more effective identification of important roles performed by miRs in humans' various diseases and biological processes (usually through miRs' respective target genes). Please note that, although the ontology is available at the stated GitHub repository, it has not been updated in a number of years and you may wish to carefully review the ontology before use.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12026}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biology"],"domains":["Annotation","Computational biological predictions","Gene prediction","Molecular entity","Cell","Regulation of gene expression","Molecular interaction","Protein","Micro RNA","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1746,"pubmed_id":25025130,"title":"OMIT: dynamic, semi-automated ontology development for the microRNA domain.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0100855","authors":"Huang J,Dang J,Borchert GM,Eilbeck K,Zhang H,Xiong M,Jiang W,Wu H,Blake JA,Natale DA,Tan M","journal":"PLoS One","doi":"10.1371/journal.pone.0100855","created_at":"2021-09-30T08:25:35.947Z","updated_at":"2021-09-30T08:25:35.947Z"},{"id":1754,"pubmed_id":21879385,"title":"OMIT: a domain-specific knowledge base for microRNA target prediction.","year":2011,"url":"http://doi.org/10.1007/s11095-011-0573-8","authors":"Huang J,Townsend C,Dou D,Liu H,Tan M","journal":"Pharm Res","doi":"10.1007/s11095-011-0573-8","created_at":"2021-09-30T08:25:36.863Z","updated_at":"2021-09-30T08:25:36.863Z"},{"id":1987,"pubmed_id":27175225,"title":"OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0064-2","authors":"Huang J,Gutierrez F,Strachan HJ,Dou D,Huang W,Smith B,Blake JA,Eilbeck K,Natale DA,Lin Y,Wu B,Silva Nd,Wang X,Liu Z,Borchert GM,Tan M,Ruttenberg A","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0064-2","created_at":"2021-09-30T08:26:03.666Z","updated_at":"2021-09-30T08:26:03.666Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1324,"relation":"undefined"}],"grants":[{"id":6152,"fairsharing_record_id":762,"organisation_id":3121,"relation":"maintains","created_at":"2021-09-30T09:27:50.388Z","updated_at":"2024-03-25T20:34:56.350Z","grant_id":null,"is_lead":true,"saved_state":{"id":3121,"name":"University of South Alabama, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6154,"fairsharing_record_id":762,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:50.469Z","updated_at":"2021-09-30T09:29:23.720Z","grant_id":229,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"1350064","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6153,"fairsharing_record_id":762,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:50.430Z","updated_at":"2021-09-30T09:30:35.739Z","grant_id":781,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U01CA180982","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6156,"fairsharing_record_id":762,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:50.538Z","updated_at":"2021-09-30T09:27:50.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"735","type":"fairsharing_records","attributes":{"created_at":"2020-03-09T10:19:37.000Z","updated_at":"2022-07-20T09:47:44.049Z","metadata":{"doi":"10.25504/FAIRsharing.NYAjYd","name":"EBI BioSamples JSON Format ","status":"ready","contacts":[{"contact_name":"BioSamples Helpdesk","contact_email":"biosamples@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biosamples/docs/references/api/submit","citations":[],"identifier":735,"description":"The EBI BioSamples JSON Format is a JSON schema used for submitting data to the EBI BioSamples database. This format can also be used to update or curate existing samples.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001455","bsg-s001455"],"name":"FAIRsharing record for: EBI BioSamples JSON Format ","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.NYAjYd","doi":"10.25504/FAIRsharing.NYAjYd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EBI BioSamples JSON Format is a JSON schema used for submitting data to the EBI BioSamples database. This format can also be used to update or curate existing samples.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Experimental measurement","Biological sample annotation","Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1427,"relation":"undefined"}],"grants":[{"id":6093,"fairsharing_record_id":735,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:48.356Z","updated_at":"2021-09-30T09:27:48.356Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"736","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.879Z","metadata":{"doi":"10.25504/FAIRsharing.3nz5cb","name":"Annotation and Image Markup","status":"ready","contacts":[{"contact_name":"Daniel Rubin","contact_email":"dlrubin@yahoo.com","contact_orcid":"0000-0001-5057-4369"}],"homepage":"https://wiki.nci.nih.gov/display/AIM/Annotation+and+Image+Markup+-+AIM","identifier":736,"description":"The Annotation and Image Markup project provides a standardized schema for capturing the results of medical imaging exams, primarily radiology, using controlled terminologies/ontologies. AIM captures results in terms of the region within an image in which areas of interest are located, the semantic descriptions of those regions, inferences about them, calculations on them, and quantitative features derived by computer programs run on them. AIM is interoperable with DICOM-SR and HL7-CDA, other standards for image metadata, but it provides unique advantages by providing an explicit semantic model of imaging results.","abbreviation":"AIM","support_links":[{"url":"ncicbiit@mail.nih.gov","type":"Support email"},{"url":"https://wiki.nci.nih.gov/display/AIM/AIM+Documentation","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000562","bsg-s000562"],"name":"FAIRsharing record for: Annotation and Image Markup","abbreviation":"AIM","url":"https://fairsharing.org/10.25504/FAIRsharing.3nz5cb","doi":"10.25504/FAIRsharing.3nz5cb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Annotation and Image Markup project provides a standardized schema for capturing the results of medical imaging exams, primarily radiology, using controlled terminologies/ontologies. AIM captures results in terms of the region within an image in which areas of interest are located, the semantic descriptions of those regions, inferences about them, calculations on them, and quantitative features derived by computer programs run on them. AIM is interoperable with DICOM-SR and HL7-CDA, other standards for image metadata, but it provides unique advantages by providing an explicit semantic model of imaging results.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Image"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":661,"pubmed_id":19294468,"title":"The caBIG annotation and image Markup project","year":2009,"url":"http://doi.org/10.1007/s10278-009-9193-9","authors":"Channin DS, Mongkolwat P, Kleper V, Sepukar K, Rubin DL.","journal":"J Digital Imaging","doi":"10.1007/s10278-009-9193-9","created_at":"2021-09-30T08:23:32.961Z","updated_at":"2021-09-30T08:23:32.961Z"},{"id":2275,"pubmed_id":null,"title":"Medical Imaging on the Semantic Web: Annotation and Image Markup","year":2008,"url":"https://www.researchgate.net/publication/221250903_Medical_Imaging_on_the_Semantic_Web_Annotation_and_Image_Markup","authors":"Rubin DL, Mongkolwat P, Kleper V, Supekar K and Channin DS","journal":"AAAI Spring Symposium Series, Semantic Scientific Knowledge Integration","doi":null,"created_at":"2021-09-30T08:26:37.118Z","updated_at":"2021-09-30T11:28:34.630Z"}],"licence_links":[],"grants":[{"id":6094,"fairsharing_record_id":736,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:27:48.380Z","updated_at":"2021-09-30T09:27:48.380Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6095,"fairsharing_record_id":736,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:48.415Z","updated_at":"2021-09-30T09:32:49.437Z","grant_id":1792,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"79596CBS10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"737","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-03-14T17:10:50.270Z","metadata":{"doi":"10.25504/FAIRsharing.kj336a","name":"Microbial Culture Collection Vocabulary","status":"ready","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"shuichi.kawashima@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MCCV","citations":[],"identifier":737,"description":"Structured controlled vocabulary for describing meta information of microbial calture collection maintained in biological research centers","abbreviation":"MCCV","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MCCV","name":"MCCV","portal":"BioPortal"}]},"legacy_ids":["bsg-000860","bsg-s000860"],"name":"FAIRsharing record for: Microbial Culture Collection Vocabulary","abbreviation":"MCCV","url":"https://fairsharing.org/10.25504/FAIRsharing.kj336a","doi":"10.25504/FAIRsharing.kj336a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Structured controlled vocabulary for describing meta information of microbial calture collection maintained in biological research centers","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Microbiology"],"domains":["Sequence","Genetic strain"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10411,"fairsharing_record_id":737,"organisation_id":3916,"relation":"undefined","created_at":"2023-03-14T17:08:44.917Z","updated_at":"2023-03-14T17:08:44.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":3916,"name":"RIKEN","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"739","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-03-23T13:52:24.722Z","metadata":{"doi":"10.25504/FAIRsharing.g78mbm","name":"Livestock Product Trait Ontology","status":"ready","contacts":[{"contact_name":"Jim Reecy","contact_email":"jreecy@iastate.edu"}],"homepage":"https://www.animalgenome.org/bioinfo/projects/lpt/","citations":[],"identifier":739,"description":"The Livestock Product Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to products produced by or obtained from the body of an agricultural animal or bird maintained for use and profit.","abbreviation":"LPT","support_links":[{"url":"https://github.com/AnimalGenome/livestock-product-trait-ontology ","type":"Github"},{"url":"jreecy@iastate.edu","name":"James Reecy","type":"Support email"},{"url":"caripark@iastate.edu","name":"Cari Park","type":"Support email"},{"url":"zhu@iastate.edu","name":"Zhiliang Hu","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LPT","name":"LPT","portal":"BioPortal"}]},"legacy_ids":["bsg-000863","bsg-s000863"],"name":"FAIRsharing record for: Livestock Product Trait Ontology","abbreviation":"LPT","url":"https://fairsharing.org/10.25504/FAIRsharing.g78mbm","doi":"10.25504/FAIRsharing.g78mbm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Livestock Product Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to products produced by or obtained from the body of an agricultural animal or bird maintained for use and profit.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Husbandry"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"740","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.859Z","metadata":{"doi":"10.25504/FAIRsharing.s6zfkg","name":"Nursing Interventions Classification","status":"ready","contacts":[{"contact_name":"Sue Moorhead","contact_email":"sue-moorhead@uiowa.edu"}],"homepage":"http://www.nursing.uiowa.edu/cncce/nursing-interventions-classification-overview","identifier":740,"description":"The Nursing Interventions Classification (NIC) is a comprehensive, research-based, standardized classification of interventions that nurses perform. It is useful for clinical documentation, communication of care across settings, integration of data across systems and settings, effectiveness research, productivity measurement, competency evaluation, reimbursement, and curricular design. The Classification includes the interventions that nurses do on behalf of patients, both independent and collaborative interventions, both direct and indirect care.","abbreviation":"NIC","year_creation":1992,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIC","name":"NIC","portal":"BioPortal"}]},"legacy_ids":["bsg-002653","bsg-s002653"],"name":"FAIRsharing record for: Nursing Interventions Classification","abbreviation":"NIC","url":"https://fairsharing.org/10.25504/FAIRsharing.s6zfkg","doi":"10.25504/FAIRsharing.s6zfkg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nursing Interventions Classification (NIC) is a comprehensive, research-based, standardized classification of interventions that nurses perform. It is useful for clinical documentation, communication of care across settings, integration of data across systems and settings, effectiveness research, productivity measurement, competency evaluation, reimbursement, and curricular design. The Classification includes the interventions that nurses do on behalf of patients, both independent and collaborative interventions, both direct and indirect care.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12511}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":["Nurse"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1850,"pubmed_id":8591448,"title":"Nursing interventions classification (NIC).","year":1995,"url":"https://www.ncbi.nlm.nih.gov/pubmed/8591448","authors":"Bulechek GM,McCloskey JC","journal":"Medinfo","doi":null,"created_at":"2021-09-30T08:25:47.838Z","updated_at":"2021-09-30T08:25:47.838Z"}],"licence_links":[],"grants":[{"id":6098,"fairsharing_record_id":740,"organisation_id":3071,"relation":"maintains","created_at":"2021-09-30T09:27:48.515Z","updated_at":"2021-09-30T09:27:48.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":3071,"name":"University of Iowa, Iowa, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6096,"fairsharing_record_id":740,"organisation_id":2157,"relation":"maintains","created_at":"2021-09-30T09:27:48.449Z","updated_at":"2021-09-30T09:27:48.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":2157,"name":"NIC Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6097,"fairsharing_record_id":740,"organisation_id":559,"relation":"maintains","created_at":"2021-09-30T09:27:48.482Z","updated_at":"2021-09-30T09:27:48.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":559,"name":"College of Nursing, University of Iowa, Iowa City, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"747","type":"fairsharing_records","attributes":{"created_at":"2017-08-03T14:35:27.000Z","updated_at":"2021-11-24T13:16:14.932Z","metadata":{"doi":"10.25504/FAIRsharing.h4j3qm","name":"Data Catalog Vocabulary","status":"ready","contacts":[{"contact_name":"Phil Archer","contact_email":"phila@w3.org","contact_orcid":"0000-0002-4989-0601"}],"homepage":"https://www.w3.org/TR/vocab-dcat/","identifier":747,"description":"An RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. By using DCAT to describe datasets in data catalogs, publishers increase discoverability and enable applications easily to consume metadata from multiple catalogs. It further enables decentralized publishing of catalogs and facilitates federated dataset search across sites. Aggregated DCAT metadata can serve as a manifest file to facilitate digital preservation.","abbreviation":"DCAT","support_links":[{"url":"https://www.w3.org/2017/dxwg/wiki/Main_Page","name":"Dataset eXchange Working Group","type":"Forum"},{"url":"https://github.com/w3c/dxwg/issues/","name":"Browse / submit issues in w3c/dxwg","type":"Github"},{"url":"https://github.com/w3c/dxwg/","name":"Dataset eXchange Working Group GitHub","type":"Github"}],"year_creation":2014},"legacy_ids":["bsg-000717","bsg-s000717"],"name":"FAIRsharing record for: Data Catalog Vocabulary","abbreviation":"DCAT","url":"https://fairsharing.org/10.25504/FAIRsharing.h4j3qm","doi":"10.25504/FAIRsharing.h4j3qm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. By using DCAT to describe datasets in data catalogs, publishers increase discoverability and enable applications easily to consume metadata from multiple catalogs. It further enables decentralized publishing of catalogs and facilitates federated dataset search across sites. Aggregated DCAT metadata can serve as a manifest file to facilitate digital preservation.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18159},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18284},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12939},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13169},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13213},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13241},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13286},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13331},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13337}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":10,"relation":"undefined"},{"licence_name":"W3C Policies and Legal information","licence_id":850,"licence_url":"http://www.w3.org/Consortium/Legal/2002/ipr-notice-20021231","link_id":12,"relation":"undefined"}],"grants":[{"id":6105,"fairsharing_record_id":747,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:48.698Z","updated_at":"2021-09-30T09:27:48.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6108,"fairsharing_record_id":747,"organisation_id":188,"relation":"funds","created_at":"2021-09-30T09:27:48.772Z","updated_at":"2021-09-30T09:27:48.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":188,"name":"Beihang University, Beihang, China","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6106,"fairsharing_record_id":747,"organisation_id":1631,"relation":"undefined","created_at":"2021-09-30T09:27:48.723Z","updated_at":"2021-09-30T09:27:48.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":1631,"name":"Keio University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":6107,"fairsharing_record_id":747,"organisation_id":589,"relation":"funds","created_at":"2021-09-30T09:27:48.748Z","updated_at":"2021-09-30T09:27:48.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":589,"name":"Computer Science and Artificial Intelligence Laboratory, Massacheusetts Institute of Technology, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6109,"fairsharing_record_id":747,"organisation_id":952,"relation":"funds","created_at":"2021-09-30T09:27:48.798Z","updated_at":"2021-09-30T09:27:48.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":952,"name":"European Research Consortium for Informatics and Mathematics","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"748","type":"fairsharing_records","attributes":{"created_at":"2018-07-16T18:46:05.000Z","updated_at":"2022-10-10T13:44:26.229Z","metadata":{"doi":"10.25504/FAIRsharing.8ae3d0","name":"Nuclear Magnetic Resonance Extracted Data Format","status":"ready","contacts":[{"contact_name":"Damien Jeannerat","contact_email":"damien.jeannerat@unige.ch","contact_orcid":"0000-0001-7018-4288"}],"homepage":"http://nmredata.org/","citations":[{"doi":"10.1002/mrc.4737","pubmed_id":29656574,"publication_id":2388}],"identifier":748,"description":"The Nuclear Magnetic Resonance Extracted Data Format (NMReDATA) associates NMR parameters extracted from 1D and 2D spectra of organic compounds to the proposed chemical structure. The format includes chemical shift values, signal integrals, intensities, multiplicities, scalar coupling constants, lists of 2D correlations, relaxation times, and diffusion rates. The file format is an extension of the existing Structure Data Format, which is compatible with the commonly used MOL format. The association of an NMReDATA file with the raw and spectral data from which it originates constitutes an NMR record. This format is easily readable by humans and computers and provides a simple and efficient way for disseminating results of structural chemistry investigations, allowing automatic verification of published results, and for assisting the constitution of highly needed open‐source structural databases.","abbreviation":"NMReDATA","support_links":[{"url":"https://github.com/NMReDATAInitiative","name":"NMReDATA GitHub Project","type":"Github"},{"url":"http://nmredata.org/wiki/Main_Page","name":"NMReDATA Wiki Pages","type":"Help documentation"},{"url":"http://nmredata.org/wiki/NMReDATA_tag_format","name":"NMReDATA Format Documentation","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001220","bsg-s001220"],"name":"FAIRsharing record for: Nuclear Magnetic Resonance Extracted Data Format","abbreviation":"NMReDATA","url":"https://fairsharing.org/10.25504/FAIRsharing.8ae3d0","doi":"10.25504/FAIRsharing.8ae3d0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nuclear Magnetic Resonance Extracted Data Format (NMReDATA) associates NMR parameters extracted from 1D and 2D spectra of organic compounds to the proposed chemical structure. The format includes chemical shift values, signal integrals, intensities, multiplicities, scalar coupling constants, lists of 2D correlations, relaxation times, and diffusion rates. The file format is an extension of the existing Structure Data Format, which is compatible with the commonly used MOL format. The association of an NMReDATA file with the raw and spectral data from which it originates constitutes an NMR record. This format is easily readable by humans and computers and provides a simple and efficient way for disseminating results of structural chemistry investigations, allowing automatic verification of published results, and for assisting the constitution of highly needed open‐source structural databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Chemical structure","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Bulgaria","Colombia","France","Germany","Russia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":2388,"pubmed_id":29656574,"title":"NMReDATA, a standard to report the NMR assignment and parameters of organic compounds.","year":2018,"url":"http://doi.org/10.1002/mrc.4737","authors":"Pupier M,Nuzillard JM,Wist J,Schlorer NE,KuhnS,Erdelyi M,SteinbeckC,Williams AJ,Butts C,Claridge TDW,Mikhova B,Robien W,Dashti H,Eghbalnia HR,Fares C,Adam C,Kessler P,Moriaud F,Elyashberg M,Argyropoulos D,Perez M,Giraudeau P,Gil RR,Trevorrow P,Jeannerat D","journal":"Magn Reson Chem","doi":"10.1002/mrc.4737","created_at":"2021-09-30T08:26:53.385Z","updated_at":"2021-09-30T08:26:53.385Z"}],"licence_links":[],"grants":[{"id":6113,"fairsharing_record_id":748,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:48.903Z","updated_at":"2021-09-30T09:31:40.466Z","grant_id":1277,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"580/3‐1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6112,"fairsharing_record_id":748,"organisation_id":731,"relation":"maintains","created_at":"2021-09-30T09:27:48.873Z","updated_at":"2021-09-30T09:27:48.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":731,"name":"Department of Organic Chemistry, University of Geneva, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6114,"fairsharing_record_id":748,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:48.932Z","updated_at":"2021-09-30T09:29:15.978Z","grant_id":166,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41GM111135","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6110,"fairsharing_record_id":748,"organisation_id":2634,"relation":"funds","created_at":"2021-09-30T09:27:48.823Z","updated_at":"2021-09-30T09:31:31.448Z","grant_id":1208,"is_lead":false,"saved_state":{"id":2634,"name":"State of Geneva, Switzerland","grant":"200021_147069","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6111,"fairsharing_record_id":748,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:27:48.848Z","updated_at":"2021-09-30T09:31:31.465Z","grant_id":1208,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"200021_147069","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7934,"fairsharing_record_id":748,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:55.402Z","updated_at":"2021-09-30T09:29:55.455Z","grant_id":470,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41GM103399","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8425,"fairsharing_record_id":748,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:32:34.752Z","updated_at":"2021-09-30T09:32:34.836Z","grant_id":1683,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"206021_128746","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"749","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:36:10.000Z","updated_at":"2022-12-14T08:23:45.695Z","metadata":{"doi":"10.25504/FAIRsharing.1zmmrI","name":"VOEvent Transport Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOEventTransport/index.html","citations":[{"publication_id":2940}],"identifier":749,"description":"The IVOA VOEvent Recommendation defines a means of describing transient celestial events but, purposely, remains silent on the topic of how those descriptions should be transmitted. This document formalizes a TCP-based protocol for VOEvent transportation that has been in use by members of the VOEvent community for several years and discusses the topology of the event distribution network. It is intended to act as a reference for the production of compliant protocol implementations.","abbreviation":null,"support_links":[{"url":"http://ivoa.net/documents/VOEventTransport/20170320/REC-VTP-2.0-20170320.html","name":"View Standard","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001158","bsg-s001158"],"name":"FAIRsharing record for: VOEvent Transport Protocol","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1zmmrI","doi":"10.25504/FAIRsharing.1zmmrI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA VOEvent Recommendation defines a means of describing transient celestial events but, purposely, remains silent on the topic of how those descriptions should be transmitted. This document formalizes a TCP-based protocol for VOEvent transportation that has been in use by members of the VOEvent community for several years and discusses the topology of the event distribution network. It is intended to act as a reference for the production of compliant protocol implementations.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11458}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2940,"pubmed_id":null,"title":"VOEvent Transport Protocol Version 2.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0320S","authors":"Swinbank, John D.; Allan, Alasdair; Denny, Robert B.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.341Z","updated_at":"2021-09-30T08:28:02.341Z"}],"licence_links":[],"grants":[{"id":6115,"fairsharing_record_id":749,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:48.962Z","updated_at":"2021-09-30T09:27:48.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6116,"fairsharing_record_id":749,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:27:48.990Z","updated_at":"2021-09-30T09:27:48.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"750","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T13:11:08.000Z","updated_at":"2022-02-08T10:30:54.062Z","metadata":{"doi":"10.25504/FAIRsharing.3cf5bc","name":"Open Provenance Model Vocabulary","status":"ready","contacts":[{"contact_name":"Jun Zhao","contact_email":"jun.zhao@cs.ox.ac.uk"}],"homepage":"http://purl.org/net/opmv/ns","identifier":750,"description":"OPMV, the Open Provenance Model Vocabulary, is a lightweight provenance vocabulary created to aid responsible data publishing and interoperability between provenance information on the Semantic Web. The Open Provenance Model Vocabulary is closely based on OPM data model. OPMV can be used together with other provenance-related RDF/OWL vocabularies/ontologies, such as Dublin Core, FOAF, the Changeset Vocabulary, and the Provenance Vocabulary.","abbreviation":"OPMV","year_creation":2010},"legacy_ids":["bsg-001434","bsg-s001434"],"name":"FAIRsharing record for: Open Provenance Model Vocabulary","abbreviation":"OPMV","url":"https://fairsharing.org/10.25504/FAIRsharing.3cf5bc","doi":"10.25504/FAIRsharing.3cf5bc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OPMV, the Open Provenance Model Vocabulary, is a lightweight provenance vocabulary created to aid responsible data publishing and interoperability between provenance information on the Semantic Web. The Open Provenance Model Vocabulary is closely based on OPM data model. OPMV can be used together with other provenance-related RDF/OWL vocabularies/ontologies, such as Dublin Core, FOAF, the Changeset Vocabulary, and the Provenance Vocabulary.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 1.0 Generic (CC BY 1.0)","licence_id":156,"licence_url":"https://creativecommons.org/licenses/by/1.0/","link_id":1716,"relation":"undefined"}],"grants":[{"id":6117,"fairsharing_record_id":750,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:27:49.014Z","updated_at":"2021-09-30T09:27:49.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"751","type":"fairsharing_records","attributes":{"created_at":"2018-10-18T17:33:00.000Z","updated_at":"2024-06-13T11:01:50.252Z","metadata":{"doi":"10.25504/FAIRsharing.35db1b","name":"AGLS Metadata Standard","status":"deprecated","contacts":[],"homepage":"https://www.naa.gov.au/information-management/standards/agls-metadata-standard","citations":[],"identifier":751,"description":"The AGLS Metadata Standard (Australian Standard AS 5044-2010) provides a set of metadata properties and associated usage guidelines to improve the visibility, manageability and interoperability of online information and services. AGLS is an application profile of Dublin Core metadata standard.","abbreviation":"AS 5044-2010","support_links":[{"url":"https://agls.gov.au/contact/","name":"Contact","type":"Contact form"},{"url":"https://agls.gov.au/documents/","name":"Full Document Listing","type":"Help documentation"},{"url":"https://agls.gov.au/pdf/AGLS%20Metadata%20Standard%20Part%202%20Usage%20Guide.PDF","name":"Usage Guide (PDF)","type":"Help documentation"}],"year_creation":1998,"deprecation_date":"2024-06-13","deprecation_reason":"Homepage message : \nRetirement of the AGLS Metadata Standard\nThe AGLS Metadata Standard was originally developed in 1997 to improve the visibility, availability and interoperability of online information.\nNational Archives has decommissioned the AGLS website and uncoupled our responsibilities from AS 5044-2010 which is managed by Standards Australia. These changes will not affect the continuing existence of AS 5044-2010 but the role of the National Archives has changed. We consulted with Standards Australia before we took down the AGLS website.\nThe National Archives prepared new advice on Metadata for the web and a case study from Geoscience Australia to assist those agencies in the post-AGLS environment."},"legacy_ids":["bsg-001329","bsg-s001329"],"name":"FAIRsharing record for: AGLS Metadata Standard","abbreviation":"AS 5044-2010","url":"https://fairsharing.org/10.25504/FAIRsharing.35db1b","doi":"10.25504/FAIRsharing.35db1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AGLS Metadata Standard (Australian Standard AS 5044-2010) provides a set of metadata properties and associated usage guidelines to improve the visibility, manageability and interoperability of online information and services. AGLS is an application profile of Dublin Core metadata standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Resource metadata","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Australian Government Copyright","licence_id":50,"licence_url":"http://www.agls.gov.au/copyright/","link_id":125,"relation":"undefined"}],"grants":[{"id":6118,"fairsharing_record_id":751,"organisation_id":1950,"relation":"maintains","created_at":"2021-09-30T09:27:49.045Z","updated_at":"2021-09-30T09:27:49.045Z","grant_id":null,"is_lead":true,"saved_state":{"id":1950,"name":"National Archives of Australia, Australian Government, Australia","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"752","type":"fairsharing_records","attributes":{"created_at":"2019-06-18T12:44:24.000Z","updated_at":"2022-07-20T10:37:08.540Z","metadata":{"doi":"10.25504/FAIRsharing.fCAD2Z","name":"Minimum Information Guideline for Kidney Disease: Research and Clinical Data Reporting","status":"ready","contacts":[{"contact_name":"Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"https://www.h3abionet.org/data-standards/datastds","citations":[{"doi":"10.1136/bmjopen-2019-029539","pubmed_id":31772086,"publication_id":2894}],"identifier":752,"description":"The MIGKD is a standardised reporting guideline for kidney disease research and clinical data reporting. It was created to improve the quality and integrity of kidney disease data as well as combat challenges associated with the management of ‘Big Data’. It proposes study-, sample- and disease-specific elements harmonized with existing standards.","abbreviation":"MIGKD","support_links":[{"url":"https://www.h3abionet.org/images/DataAndStandards/DataStandards/Recommendations_For_Use_Guideline.pdf","name":"Recommendations for Use","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001385","bsg-s001385"],"name":"FAIRsharing record for: Minimum Information Guideline for Kidney Disease: Research and Clinical Data Reporting","abbreviation":"MIGKD","url":"https://fairsharing.org/10.25504/FAIRsharing.fCAD2Z","doi":"10.25504/FAIRsharing.fCAD2Z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIGKD is a standardised reporting guideline for kidney disease research and clinical data reporting. It was created to improve the quality and integrity of kidney disease data as well as combat challenges associated with the management of ‘Big Data’. It proposes study-, sample- and disease-specific elements harmonized with existing standards.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12546}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Critical Care Medicine","Medicine","Urology","Preclinical Studies","Medical Informatics"],"domains":["Kidney disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Mauritius","South Africa","Tunisia"],"publications":[{"id":2894,"pubmed_id":31772086,"title":"Proposed minimum information guideline for kidney disease-research and clinical data reporting: a cross-sectional study.","year":2019,"url":"http://doi.org/10.1136/bmjopen-2019-029539","authors":"Kumuthini J,van Woerden C,Mallett A,Zass L,Chaouch M,Thompson M,Johnston K,Mbiyavanga M,Baichoo S,Mungloo-Dilmohamud Z,Patel C,Mulder N","journal":"BMJ Open","doi":"10.1136/bmjopen-2019-029539","created_at":"2021-09-30T08:27:56.325Z","updated_at":"2021-09-30T08:27:56.325Z"}],"licence_links":[],"grants":[{"id":6120,"fairsharing_record_id":752,"organisation_id":1207,"relation":"funds","created_at":"2021-09-30T09:27:49.129Z","updated_at":"2021-09-30T09:27:49.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":1207,"name":"H3ABioNet","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6119,"fairsharing_record_id":752,"organisation_id":468,"relation":"maintains","created_at":"2021-09-30T09:27:49.086Z","updated_at":"2021-09-30T09:27:49.086Z","grant_id":null,"is_lead":true,"saved_state":{"id":468,"name":"Centre for Proteomic and Genomic Research (CPGR), Cape Town, South Africa","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"754","type":"fairsharing_records","attributes":{"created_at":"2015-09-28T22:24:15.000Z","updated_at":"2023-04-23T12:57:54.512Z","metadata":{"doi":"10.25504/FAIRsharing.e9sg7","name":"Sampling Features OWL implementation","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"dr.shorthair@pm.me","contact_orcid":"0000-0002-3884-3420"}],"homepage":"https://www.semantic-web-journal.net/system/files/swj1237.pdf","citations":[],"identifier":754,"description":"An OWL representation of the Sampling Features Schema described in clauses 9-11 of ISO 19156:2011 Geographic Information - Observations and Measurements.","abbreviation":"sam-lite","year_creation":2014},"legacy_ids":["bsg-000621","bsg-s000621"],"name":"FAIRsharing record for: Sampling Features OWL implementation","abbreviation":"sam-lite","url":"https://fairsharing.org/10.25504/FAIRsharing.e9sg7","doi":"10.25504/FAIRsharing.e9sg7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An OWL representation of the Sampling Features Schema described in clauses 9-11 of ISO 19156:2011 Geographic Information - Observations and Measurements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Experimental measurement","Geographical location","Observation design"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":2230,"pubmed_id":null,"title":"Ontology for observations and sampling features, with alignments to existing models","year":2017,"url":"http://doi.org/10.3233/SW-160214","authors":"Cox, Simon J D","journal":"Semantic Web Journal","doi":"10.3233/SW-160214","created_at":"2021-09-30T08:26:31.314Z","updated_at":"2021-09-30T08:26:31.314Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":5,"relation":"undefined"}],"grants":[{"id":6121,"fairsharing_record_id":754,"organisation_id":624,"relation":"maintains","created_at":"2021-09-30T09:27:49.167Z","updated_at":"2021-09-30T09:27:49.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":624,"name":"CSIRO Land and Water, Highett, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"755","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2024-03-21T14:11:22.234Z","metadata":{"doi":"10.25504/FAIRsharing.pmygc7","name":"CEDAR Value Sets","status":"deprecated","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu"}],"homepage":"https://metadatacenter.github.io/cedar-manual/sections/c3/2_defining_your_answers_with%20term_lists/#searching-for-ontologies-and-value-sets","citations":[],"identifier":755,"description":"A Value Set in CEDAR is like a very simple ontology; it consists only of a set of terms that have identifiers and labels. Value Sets tend to be smaller than ontologies as well, and organized around a single topic. This record described the initial set of value sets uploaded to BioPortal.","abbreviation":null,"support_links":[],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CEDARVS","name":"CEDARVS","portal":"BioPortal"}],"deprecation_date":"2024-03-05","deprecation_reason":"This resource described a version of the value sets available on BioPortal and not updated since 2015. The version of the value sets as described on the CEDAR site do not conform with the current scope of the FAIRsharing standards registry, and therefore this record has been deprecated. Please get in touch with us if you have any information or questions."},"legacy_ids":["bsg-000878","bsg-s000878"],"name":"FAIRsharing record for: CEDAR Value Sets","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pmygc7","doi":"10.25504/FAIRsharing.pmygc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A Value Set in CEDAR is like a very simple ontology; it consists only of a set of terms that have identifiers and labels. Value Sets tend to be smaller than ontologies as well, and organized around a single topic. This record described the initial set of value sets uploaded to BioPortal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Integration","Data Governance"],"domains":["Resource metadata","Experimental measurement","Protocol","Study design","Machine learning","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":11461,"fairsharing_record_id":755,"organisation_id":420,"relation":"maintains","created_at":"2024-03-05T14:16:34.143Z","updated_at":"2024-03-05T14:16:34.143Z","grant_id":null,"is_lead":true,"saved_state":{"id":420,"name":"Center for Expanded Data Annotation and Retrieval (CEDAR)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"763","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-05T14:18:59.358Z","metadata":{"doi":"10.25504/FAIRsharing.tw4q8x","name":"Ontology of Adverse Events","status":"ready","contacts":[{"contact_name":"Yongqun \"Oliver\" He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/oae-ontology","citations":[{"doi":"10.1186/2041-1480-5-29","pubmed_id":25093068,"publication_id":909}],"identifier":763,"description":"The Ontology of Adverse Events (OAE) is a community-driven ontology that is developed to standardize and integrate data on biomedical adverse events (e.g., vaccine and drug adverse events) and support computer-assisted reasoning. As a result of a medical intervention, events may occur which lie outside the intended consequences of the intervention. Some of these events are adverse events, in the sense that they are pathological bodily processes. For many such adverse events it is unclear whether they are causal consequences of the medical intervention which preceded them, since adverse events may also occur due to other reasons (for example a natural viral infection). OAE was created to represent the whole process from initial medical intervention to subsequent outcomes.","abbreviation":"OAE","support_links":[{"url":"oae-discuss@googlegroups.com","name":"OAE Mailing List","type":"Mailing list"},{"url":"http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0049941","type":"Help documentation"},{"url":"http://www.oae-ontology.org/AEO_ICBO-2011_Proceeding.pdf","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OAE","name":"OAE","portal":"BioPortal"}]},"legacy_ids":["bsg-002664","bsg-s002664"],"name":"FAIRsharing record for: Ontology of Adverse Events","abbreviation":"OAE","url":"https://fairsharing.org/10.25504/FAIRsharing.tw4q8x","doi":"10.25504/FAIRsharing.tw4q8x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Adverse Events (OAE) is a community-driven ontology that is developed to standardize and integrate data on biomedical adverse events (e.g., vaccine and drug adverse events) and support computer-assisted reasoning. As a result of a medical intervention, events may occur which lie outside the intended consequences of the intervention. Some of these events are adverse events, in the sense that they are pathological bodily processes. For many such adverse events it is unclear whether they are causal consequences of the medical intervention which preceded them, since adverse events may also occur due to other reasons (for example a natural viral infection). OAE was created to represent the whole process from initial medical intervention to subsequent outcomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Adverse Reaction","Vaccine"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":909,"pubmed_id":25093068,"title":"OAE: The Ontology of Adverse Events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-29","authors":"He Y,Sarntivijai S,Lin Y,Xiang Z,Guo A,Zhang S,Jagannathan D,Toldo L,Tao C,Smith B","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-29","created_at":"2021-09-30T08:24:00.403Z","updated_at":"2021-09-30T08:24:00.403Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":344,"relation":"undefined"}],"grants":[{"id":8669,"fairsharing_record_id":763,"organisation_id":1230,"relation":"maintains","created_at":"2022-01-05T13:55:31.075Z","updated_at":"2022-01-05T13:55:31.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6157,"fairsharing_record_id":763,"organisation_id":3094,"relation":"maintains","created_at":"2021-09-30T09:27:50.580Z","updated_at":"2021-09-30T09:27:50.580Z","grant_id":null,"is_lead":true,"saved_state":{"id":3094,"name":"University of Michigan Medical School, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"764","type":"fairsharing_records","attributes":{"created_at":"2020-07-08T12:49:16.000Z","updated_at":"2023-09-29T11:54:56.158Z","metadata":{"doi":"10.25504/FAIRsharing.495736","name":"ISO 639-1:2002 Codes for the representation of names of languages — Part 1: Alpha-2 code","status":"ready","contacts":[{"contact_name":"Maryse Benhoff","contact_email":"mmb@bgcommunications.ca"}],"homepage":"https://www.iso.org/standard/22109.html","citations":[],"identifier":764,"description":"This part of ISO 639 provides a code consisting of language code elements comprising two-letter language identifiers for the representation of names of languages. The language identifiers according to this part of ISO 639 were devised originally for use in terminology, lexicography and linguistics, but may be adopted for any application requiring the expression of language in two-letter coded form, especially in computerized systems. Languages designed exclusively for machine use, such as computer-programming languages, are not included in this code.","abbreviation":"ISO 639-1:2002","year_creation":1988},"legacy_ids":["bsg-001509","bsg-s001509"],"name":"FAIRsharing record for: ISO 639-1:2002 Codes for the representation of names of languages — Part 1: Alpha-2 code","abbreviation":"ISO 639-1:2002","url":"https://fairsharing.org/10.25504/FAIRsharing.495736","doi":"10.25504/FAIRsharing.495736","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This part of ISO 639 provides a code consisting of language code elements comprising two-letter language identifiers for the representation of names of languages. The language identifiers according to this part of ISO 639 were devised originally for use in terminology, lexicography and linguistics, but may be adopted for any application requiring the expression of language in two-letter coded form, especially in computerized systems. Languages designed exclusively for machine use, such as computer-programming languages, are not included in this code.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17378}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Informatics","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Language"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2007,"relation":"undefined"}],"grants":[{"id":6158,"fairsharing_record_id":764,"organisation_id":1526,"relation":"maintains","created_at":"2021-09-30T09:27:50.622Z","updated_at":"2021-09-30T09:27:50.622Z","grant_id":null,"is_lead":true,"saved_state":{"id":1526,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 2: Terminology workflow and language coding","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10911,"fairsharing_record_id":764,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:05:10.516Z","updated_at":"2023-09-27T14:05:10.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"765","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:16:30.000Z","updated_at":"2022-11-01T11:56:54.230Z","metadata":{"doi":"10.25504/FAIRsharing.ztr3n9","name":"FAIR Metrics - Machine-readability of metadata","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F2","citations":[],"identifier":765,"description":"FM-F2 measures the availability of machine-readable metadata that describes a digital resource. This metric does not attempt to measure (or even define) \"Richness\" - this will be defined in a future Metric. This metric is intended to test the format of the metadata - machine readability of metadata makes it possible to optimize discovery. For instance, Web search engines suggest the use of particular structured metadata elements to optimize search. Thus, the machine-readability aspect can help people and machines find a digital resource of interest. To conform to this metric, a URL to a document that contains machine-readable metadata for the digital resource must be provided. Furthermore, the file format must be specified. This metric applies to part F2 of the FAIR Principles.","abbreviation":"FM-F2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001344","bsg-s001344"],"name":"FAIRsharing record for: FAIR Metrics - Machine-readability of metadata","abbreviation":"FM-F2","url":"https://fairsharing.org/10.25504/FAIRsharing.ztr3n9","doi":"10.25504/FAIRsharing.ztr3n9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-F2 measures the availability of machine-readable metadata that describes a digital resource. This metric does not attempt to measure (or even define) \"Richness\" - this will be defined in a future Metric. This metric is intended to test the format of the metadata - machine readability of metadata makes it possible to optimize discovery. For instance, Web search engines suggest the use of particular structured metadata elements to optimize search. Thus, the machine-readability aspect can help people and machines find a digital resource of interest. To conform to this metric, a URL to a document that contains machine-readable metadata for the digital resource must be provided. Furthermore, the file format must be specified. This metric applies to part F2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1409,"relation":"undefined"}],"grants":[{"id":6160,"fairsharing_record_id":765,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:50.701Z","updated_at":"2021-09-30T09:27:50.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6159,"fairsharing_record_id":765,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:50.664Z","updated_at":"2021-09-30T09:27:50.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6161,"fairsharing_record_id":765,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:50.733Z","updated_at":"2021-09-30T09:27:50.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6162,"fairsharing_record_id":765,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:50.763Z","updated_at":"2021-09-30T09:27:50.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"742","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.931Z","metadata":{"doi":"10.25504/FAIRsharing.3fc9zf","name":"openEHR Health Record Specification","status":"ready","contacts":[{"contact_name":"Koray Atalag","contact_email":"k.atalag@auckland.ac.nz","contact_orcid":"0000-0003-0517-4803"}],"homepage":"http://www.openehr.org","identifier":742,"description":"openEHR is an open standard that uses a novel two-level modelling methodology to represent health information and meta-data by preserving the semantics during when it were created. It enables semantic interoperability and makes it possible to link disparate data sources easily and safely. It also allows for terminology binding which provides the bridge between the 'terminology' and 'information model' this making it much more useful than using these standards separately. Although openEHR is a de-facto standard that is developed by volunteers openly, ISO and CEN adopted it (ISO/EN 13606) so it is a full international standard. It has relationship and mappings between other standards, such as HL7.","abbreviation":"openEHR","support_links":[{"url":"https://www.researchgate.net/publication/268923409_On_the_Maintainability_of_openEHR_Based_Health_Information_Systems_-_an_Evaluation_Study_in_Endoscopy","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000525","bsg-s000525"],"name":"FAIRsharing record for: openEHR Health Record Specification","abbreviation":"openEHR","url":"https://fairsharing.org/10.25504/FAIRsharing.3fc9zf","doi":"10.25504/FAIRsharing.3fc9zf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: openEHR is an open standard that uses a novel two-level modelling methodology to represent health information and meta-data by preserving the semantics during when it were created. It enables semantic interoperability and makes it possible to link disparate data sources easily and safely. It also allows for terminology binding which provides the bridge between the 'terminology' and 'information model' this making it much more useful than using these standards separately. Although openEHR is a de-facto standard that is developed by volunteers openly, ISO and CEN adopted it (ISO/EN 13606) so it is a full international standard. It has relationship and mappings between other standards, such as HL7.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12473},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16902}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","France","Germany","New Zealand","United Kingdom","United States"],"publications":[{"id":267,"pubmed_id":null,"title":"The openEHR Foundation","year":2005,"url":"https://ebooks.iospress.nl/publication/10257","authors":"Kalra D, Beale T, Heard S.","journal":"Studies in health technology and informatics","doi":null,"created_at":"2021-09-30T08:22:48.865Z","updated_at":"2021-09-30T11:28:29.188Z"}],"licence_links":[],"grants":[{"id":6102,"fairsharing_record_id":742,"organisation_id":2255,"relation":"maintains","created_at":"2021-09-30T09:27:48.615Z","updated_at":"2021-09-30T09:27:48.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":2255,"name":"openEHR Foundation","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6103,"fairsharing_record_id":742,"organisation_id":3016,"relation":"funds","created_at":"2021-09-30T09:27:48.647Z","updated_at":"2021-09-30T09:29:35.645Z","grant_id":316,"is_lead":false,"saved_state":{"id":3016,"name":"University of Auckland, New Zealand","grant":"3624469/9843","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"743","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-07-20T12:14:06.133Z","metadata":{"doi":"10.25504/FAIRsharing.w7bw2y","name":"Environment Ontology for Livestock","status":"ready","contacts":[{"contact_name":"Matthieu Reichstadt","contact_email":"matthieu.reichstadt@clermont.inra.fr"}],"homepage":"http://www.atol-ontology.com/en/eol-2/","identifier":743,"description":"The EOL ontology describes environmental conditions of livestock farms. More specifically, it describes the feeding modalities, the environment, the structure of livestock farms and rearing systems.","abbreviation":"EOL","support_links":[{"url":"https://www.ebi.ac.uk/ols/ontologies/eol","name":"EOL in the EBI Ontology Lookup Service (OLS)","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EOL","name":"EOL","portal":"BioPortal"}]},"legacy_ids":["bsg-000864","bsg-s000864"],"name":"FAIRsharing record for: Environment Ontology for Livestock","abbreviation":"EOL","url":"https://fairsharing.org/10.25504/FAIRsharing.w7bw2y","doi":"10.25504/FAIRsharing.w7bw2y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EOL ontology describes environmental conditions of livestock farms. More specifically, it describes the feeding modalities, the environment, the structure of livestock farms and rearing systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Animal Husbandry","Agriculture"],"domains":[],"taxonomies":["Vertebrata"],"user_defined_tags":["Livestock","Species-environment interaction"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":900,"relation":"undefined"}],"grants":[{"id":6104,"fairsharing_record_id":743,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:48.672Z","updated_at":"2021-09-30T09:27:48.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"745","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-08-01T22:31:01.873Z","metadata":{"doi":"10.25504/FAIRsharing.x68yjk","name":"CARRE Risk Factor ontology","status":"ready","contacts":[{"contact_name":"Allan Third","contact_email":"allan.third@open.ac.uk"}],"homepage":"https://www.carre-project.eu/innovation/risk-factor-ontology/","citations":[],"identifier":745,"description":"The “core” of the CARRE Risk Factor Ontology is the semantic representation of the CARRE data model for risk (D.2.2), intended to represent current medical knowledge regarding cardiorenal risk factors. This core relates to public data; that is to say, data from the medical literature regarding conditions, genetics, demographics and the environment, how these factors interact and the studies and evidence quality relating to their interactions. Please note that, while available, this resource has not been updated since 2014.","abbreviation":"CARRE","support_links":[],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CARRE","name":"CARRE","portal":"BioPortal"}]},"legacy_ids":["bsg-000872","bsg-s000872"],"name":"FAIRsharing record for: CARRE Risk Factor ontology","abbreviation":"CARRE","url":"https://fairsharing.org/10.25504/FAIRsharing.x68yjk","doi":"10.25504/FAIRsharing.x68yjk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The “core” of the CARRE Risk Factor Ontology is the semantic representation of the CARRE data model for risk (D.2.2), intended to represent current medical knowledge regarding cardiorenal risk factors. This core relates to public data; that is to say, data from the medical literature regarding conditions, genetics, demographics and the environment, how these factors interact and the studies and evidence quality relating to their interactions. Please note that, while available, this resource has not been updated since 2014.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17359}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2774,"relation":"applies_to_content"}],"grants":[{"id":9732,"fairsharing_record_id":745,"organisation_id":2816,"relation":"maintains","created_at":"2022-08-01T22:19:57.977Z","updated_at":"2022-08-01T22:19:57.977Z","grant_id":null,"is_lead":false,"saved_state":{"id":2816,"name":"The Open University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9731,"fairsharing_record_id":745,"organisation_id":3622,"relation":"maintains","created_at":"2022-08-01T22:19:57.968Z","updated_at":"2022-08-01T22:19:57.968Z","grant_id":null,"is_lead":false,"saved_state":{"id":3622,"name":"The CARRE Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"746","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-03-15T11:16:56.897Z","metadata":{"doi":"10.25504/FAIRsharing.9thw6y","name":"HIVCompoundRels","status":"deprecated","contacts":[{"contact_name":"Hanfei Bao","contact_email":"hanfeib@gmail.com"}],"homepage":"http://blog.51.ca/u-345129/","citations":[],"identifier":746,"description":"The Ontology to express the ternary relations of HIV1","abbreviation":"HIVCRS","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HIVCRS","name":"HIVCRS","portal":"BioPortal"}],"deprecation_date":"2023-03-15","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-000873","bsg-s000873"],"name":"FAIRsharing record for: HIVCompoundRels","abbreviation":"HIVCRS","url":"https://fairsharing.org/10.25504/FAIRsharing.9thw6y","doi":"10.25504/FAIRsharing.9thw6y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology to express the ternary relations of HIV1","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"757","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:28:35.446Z","metadata":{"doi":"10.25504/FAIRsharing.kbtt7f","name":"Human Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Sebastian Kohler","contact_email":"sebastian.koehler@charite.de"}],"homepage":"https://hpo.jax.org/","citations":[{"doi":"https://doi.org/10.1093/nar/gkw1039","pubmed_id":27899602,"publication_id":2510}],"identifier":757,"description":"The Human Phenotype Ontology has been developed to provide a structured and controlled vocabulary for the phenotypic features encountered in human hereditary and other disease. The goal is to provide resource for the computational analysis of the human phenome, with a focus on monogenic diseases listed in the Online Mendelian Inheritance in Man (OMIM) and Orphanet databases, for which annotations are also provided.","abbreviation":"HP","support_links":[{"url":"peter.robinson@jax.org","name":"peter.robinson@jax.org","type":"Support email"},{"url":"dr.sebastian.koehler@gmail.com","name":"dr.sebastian.koehler@gmail.com","type":"Support email"},{"url":"https://hpo.jax.org/app/faq","name":"HPO FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://hpo.jax.org/app/help/introduction","name":"Help Pages","type":"Help documentation"},{"url":"https://twitter.com/hp_ontology","name":"@hp_ontology","type":"Twitter"}],"year_creation":2008,"associated_tools":[{"url":"http://compbio.charite.de/phenomizer/","name":"Phenomizer"},{"url":"http://exomiser.monarchinitiative.org/exomiser/","name":"Exomiser"},{"url":"https://phenomics.github.io/software-phenoviz.html","name":"PhenogramViz 0.1.3"},{"url":"https://github.com/monarch-initiative/PhenoteFX","name":"PhenoteFX"},{"url":"https://github.com/monarch-initiative/hpoannotqc","name":"HpoAnnotQc"},{"url":"https://github.com/monarch-initiative/loinc2hpo","name":"Loinc2HPO"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HP","name":"HP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/hp.html","name":"hp","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000131","bsg-s000131"],"name":"FAIRsharing record for: Human Phenotype Ontology","abbreviation":"HP","url":"https://fairsharing.org/10.25504/FAIRsharing.kbtt7f","doi":"10.25504/FAIRsharing.kbtt7f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Phenotype Ontology has been developed to provide a structured and controlled vocabulary for the phenotypic features encountered in human hereditary and other disease. The goal is to provide resource for the computational analysis of the human phenome, with a focus on monogenic diseases listed in the Online Mendelian Inheritance in Man (OMIM) and Orphanet databases, for which annotations are also provided.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17576},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10870},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11022},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11267},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11953},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12204},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12413},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16954}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phenomics","Biomedical Science","Preclinical Studies"],"domains":["Phenotype","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":1246,"pubmed_id":24217912,"title":"The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1026","authors":"Kohler S,Doelken SC,Mungall CJ,Bauer S,Firth HV,Bailleul-Forestier I,Black GC,Brown DL,Brudno M,Campbell J,FitzPatrick DR,Eppig JT,Jackson AP,Freson K,Girdea M,Helbig I,Hurst JA,Jahn J,Jackson LG,Kelly AM,Ledbetter DH,Mansour S,Martin CL,Moss C,Mumford A,Ouwehand WH,Park SM,Riggs ER,Scott RH,Sisodiya S,Van Vooren S,Wapner RJ,Wilkie AO,Wright CF,Vulto-van Silfhout AT,de Leeuw N,de Vries BB,Washingthon NL,Smith CL,Westerfield M,Schofield P,Ruef BJ,Gkoutos GV,Haendel M,Smedley D,Lewis SE,Robinson PN","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1026","created_at":"2021-09-30T08:24:38.973Z","updated_at":"2021-09-30T11:29:03.901Z"},{"id":2510,"pubmed_id":27899602,"title":"The Human Phenotype Ontology in 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1039","authors":"Köhler S, Vasilevsky NA, Engelstad M, Foster E, McMurry J, Aymé S, Baynam G, Bello SM, Boerkoel CF, Boycott KM, Brudno M, Buske OJ, Chinnery PF, Cipriani V, Connell LE, Dawkins HJ, DeMare LE, Devereau AD, de Vries BB, Firth HV, Freson K, Greene D, Hamosh A, Helbig I, Hum C, Jähn JA, James R, Krause R, F Laulederkind SJ, Lochmüller H, Lyon GJ, Ogishima S, Olry A, Ouwehand WH, Pontikos N, Rath A, Schaefer F, Scott RH, Segal M, Sergouniotis PI, Sever R, Smith CL, Straub V, Thompson R, Turner C, Turro E, Veltman MW, Vulliamy T, Yu J, von Ziegenweidt J, Zankl A, Züchner S, Zemojtel T, Jacobsen JO, Groza T, Smedley D, Mungall CJ, Haendel M, Robinson PN.","journal":"Nucleic Acids Res.","doi":"https://doi.org/10.1093/nar/gkw1039","created_at":"2021-09-30T08:27:08.060Z","updated_at":"2021-09-30T08:27:08.060Z"},{"id":2511,"pubmed_id":20412080,"title":"The human phenotype ontology.","year":2010,"url":"http://doi.org/10.1111/j.1399-0004.2010.01436.x","authors":"Robinson PN,Mundlos S","journal":"Clin Genet","doi":"10.1111/j.1399-0004.2010.01436.x","created_at":"2021-09-30T08:27:08.170Z","updated_at":"2021-09-30T08:27:08.170Z"},{"id":2512,"pubmed_id":30476213,"title":"Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources.","year":2018,"url":"http://doi.org/10.1093/nar/gky1105","authors":"Kohler S,Carmody L,Vasilevsky N,Jacobsen JOB,Danis D,Gourdine JP,Gargano M,Harris NL,Matentzoglu N,McMurry JA,Osumi-Sutherland D,Cipriani V,Balhoff JP,Conlin T,Blau H,Baynam G,Palmer R,Gratian D,Dawkins H,Segal M,Jansen AC,Muaz A,Chang WH,Bergerson J,Laulederkind SJF,Yuksel Z,Beltran S,Freeman AF,Sergouniotis PI,Durkin D,Storm AL,Hanauer M,Brudno M,Bello SM,Sincan M,Rageth K,Wheeler MT,Oegema R,Lourghi H,Della Rocca MG,Thompson R,Castellanos F,Priest J,Cunningham-Rundles C,Hegde A,Lovering RC,Hajek C,Olry A,Notarangelo L,Similuk M,Zhang XA,Gomez-Andres D,Lochmuller H,Dollfus H,Rosenzweig S,Marwaha S,Rath A,Sullivan K,Smith C,Milner JD,Leroux D,Boerkoel CF,Klion A,Carter MC,Groza T,Smedley D,Haendel MA,Mungall C,Robinson PN","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1105","created_at":"2021-09-30T08:27:08.273Z","updated_at":"2021-09-30T11:29:38.578Z"},{"id":2513,"pubmed_id":18950739,"title":"The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease.","year":2008,"url":"http://doi.org/10.1016/j.ajhg.2008.09.017","authors":"Robinson PN,Kohler S,Bauer S,Seelow D,Horn D,Mundlos S","journal":"Am J Hum Genet","doi":"10.1016/j.ajhg.2008.09.017","created_at":"2021-09-30T08:27:08.374Z","updated_at":"2021-09-30T08:27:08.374Z"}],"licence_links":[{"licence_name":"HPO license","licence_id":403,"licence_url":"https://hpo.jax.org/app/license","link_id":1555,"relation":"undefined"}],"grants":[{"id":6122,"fairsharing_record_id":757,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:49.204Z","updated_at":"2021-09-30T09:27:49.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6130,"fairsharing_record_id":757,"organisation_id":903,"relation":"funds","created_at":"2021-09-30T09:27:49.485Z","updated_at":"2021-09-30T09:27:49.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":903,"name":"EuroEPINOMICS, European Science Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6135,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:49.646Z","updated_at":"2021-09-30T09:30:07.294Z","grant_id":560,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HE5415/3-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6129,"fairsharing_record_id":757,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:27:49.445Z","updated_at":"2021-09-30T09:30:35.217Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6124,"fairsharing_record_id":757,"organisation_id":900,"relation":"funds","created_at":"2021-09-30T09:27:49.288Z","updated_at":"2021-09-30T09:30:42.839Z","grant_id":835,"is_lead":false,"saved_state":{"id":900,"name":"EURenOmics","grant":"2012-305608","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6141,"fairsharing_record_id":757,"organisation_id":2406,"relation":"funds","created_at":"2021-09-30T09:27:49.923Z","updated_at":"2021-09-30T09:31:26.519Z","grant_id":1170,"is_lead":false,"saved_state":{"id":2406,"name":"RD-Connect","grant":"305444","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6139,"fairsharing_record_id":757,"organisation_id":2163,"relation":"funds","created_at":"2021-09-30T09:27:49.838Z","updated_at":"2021-09-30T09:31:58.336Z","grant_id":1411,"is_lead":false,"saved_state":{"id":2163,"name":"NIH Data Commons","grant":"OT3 OD02464-01 UNCCH","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6138,"fairsharing_record_id":757,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:27:49.797Z","updated_at":"2021-09-30T09:29:02.428Z","grant_id":67,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"779257","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8094,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:30:54.312Z","updated_at":"2021-09-30T09:30:54.362Z","grant_id":928,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HE5415/6-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6125,"fairsharing_record_id":757,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:49.325Z","updated_at":"2021-09-30T09:30:11.396Z","grant_id":591,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1OT3TR002019","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6127,"fairsharing_record_id":757,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:49.385Z","updated_at":"2021-09-30T09:30:17.221Z","grant_id":638,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"602300","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6137,"fairsharing_record_id":757,"organisation_id":877,"relation":"funds","created_at":"2021-09-30T09:27:49.746Z","updated_at":"2021-09-30T09:30:36.200Z","grant_id":785,"is_lead":false,"saved_state":{"id":877,"name":"E-RARE project Hipbi-RD","grant":"01GM1608","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8282,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:31:54.157Z","updated_at":"2021-09-30T09:31:54.207Z","grant_id":1379,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HE5415/5-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6140,"fairsharing_record_id":757,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:49.881Z","updated_at":"2021-09-30T09:29:13.710Z","grant_id":148,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R44 LM011585-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6128,"fairsharing_record_id":757,"organisation_id":1135,"relation":"funds","created_at":"2021-09-30T09:27:49.417Z","updated_at":"2021-09-30T09:27:49.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":1135,"name":"German chapter of the International League against Epilepsy","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8010,"fairsharing_record_id":757,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:30:22.328Z","updated_at":"2021-09-30T09:30:22.372Z","grant_id":680,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"U24 TR002306","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8879,"fairsharing_record_id":757,"organisation_id":2747,"relation":"funds","created_at":"2022-02-13T18:25:44.840Z","updated_at":"2022-02-13T18:25:44.840Z","grant_id":1285,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","grant":"RG/13/5/30112","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9072,"fairsharing_record_id":757,"organisation_id":2804,"relation":"maintains","created_at":"2022-03-30T10:39:16.368Z","updated_at":"2022-03-30T10:39:16.368Z","grant_id":null,"is_lead":true,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6134,"fairsharing_record_id":757,"organisation_id":1039,"relation":"funds","created_at":"2021-09-30T09:27:49.604Z","updated_at":"2021-09-30T09:29:49.789Z","grant_id":424,"is_lead":false,"saved_state":{"id":1039,"name":"Forums for Integrative Phenomics, NIH","grant":"CA221044-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6133,"fairsharing_record_id":757,"organisation_id":2141,"relation":"funds","created_at":"2021-09-30T09:27:49.574Z","updated_at":"2021-09-30T09:32:05.827Z","grant_id":1467,"is_lead":false,"saved_state":{"id":2141,"name":"NeurOmics","grant":"2012-305121","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6131,"fairsharing_record_id":757,"organisation_id":2804,"relation":"funds","created_at":"2021-09-30T09:27:49.517Z","updated_at":"2021-09-30T09:29:36.170Z","grant_id":320,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","grant":"5R24OD011883","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8391,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:32:25.306Z","updated_at":"2021-09-30T09:32:25.355Z","grant_id":1612,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG RO 2005/4-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9073,"fairsharing_record_id":757,"organisation_id":2792,"relation":"maintains","created_at":"2022-03-30T10:39:16.369Z","updated_at":"2022-03-30T10:39:16.369Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9283,"fairsharing_record_id":757,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:27.655Z","updated_at":"2022-04-11T12:07:27.671Z","grant_id":1680,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01DH12033","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9362,"fairsharing_record_id":757,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.138Z","updated_at":"2022-04-11T12:07:33.154Z","grant_id":783,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"MAR 10/012","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9368,"fairsharing_record_id":757,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.601Z","updated_at":"2022-04-11T12:07:33.618Z","grant_id":1384,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"BMBF project number 0313911","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"741","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:16:43.216Z","metadata":{"doi":"10.25504/FAIRsharing.amcv1e","name":"HGNC Gene Symbols, Gene Names and IDs","status":"ready","contacts":[{"contact_email":"hgnc@genenames.org"}],"homepage":"https://www.genenames.org/","identifier":741,"description":"The HGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","abbreviation":"HGNC","support_links":[{"url":"http://www.genenames.org/cgi-bin/feedback","type":"Contact form"},{"url":"hgnc@genenames.org","type":"Support email"},{"url":"http://www.genenames.org/help","type":"Help documentation"}],"year_creation":1979,"associated_tools":[{"url":"https://www.genenames.org/tools/multi-symbol-checker/","name":"Multi-symbol checker"}]},"legacy_ids":["bsg-002683","bsg-s002683"],"name":"FAIRsharing record for: HGNC Gene Symbols, Gene Names and IDs","abbreviation":"HGNC","url":"https://fairsharing.org/10.25504/FAIRsharing.amcv1e","doi":"10.25504/FAIRsharing.amcv1e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Gene name","Protein","Pseudogene","Non-coding RNA"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2798,"pubmed_id":295268,"title":"International system for human gene nomenclature (1979) ISGN (1979).","year":1979,"url":"http://doi.org/10.1159/000131404","authors":"Shows TB,Alper CA,Bootsma D,Dorf M,Douglas T,Huisman T,Kit S,Klinger HP,Kozak C,Lalley PA,Lindsley D,McAlpine PJ,McDougall JK,Meera Khan P,Meisler M,Morton NE,Opitz JM,Partridge CW,Payne R,Roderick TH,Rubinstein P,Ruddle FH,Shaw M,Spranger JW,Weiss K","journal":"Cytogenet Cell Genet","doi":"10.1159/000131404","created_at":"2021-09-30T08:27:44.056Z","updated_at":"2021-09-30T08:27:44.056Z"},{"id":2799,"pubmed_id":30304474,"title":"Genenames.org: the HGNC and VGNC resources in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky930","authors":"Braschi B,Denny P,Gray K,Jones T,Seal R,Tweedie S,Yates B,Bruford E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky930","created_at":"2021-09-30T08:27:44.170Z","updated_at":"2021-09-30T11:29:45.045Z"}],"licence_links":[],"grants":[{"id":6101,"fairsharing_record_id":741,"organisation_id":1273,"relation":"maintains","created_at":"2021-09-30T09:27:48.588Z","updated_at":"2021-09-30T09:27:48.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":1273,"name":"HUGO Gene Nomenclature Committee (HGNC), Hinxton, Cambridgeshire, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6100,"fairsharing_record_id":741,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:48.564Z","updated_at":"2021-09-30T09:31:12.550Z","grant_id":1064,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U24HG003345","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6099,"fairsharing_record_id":741,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:48.539Z","updated_at":"2021-09-30T09:32:37.393Z","grant_id":1704,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"208349/Z/17/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"174","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.360Z","metadata":{"doi":"10.25504/FAIRsharing.ht22t4","name":"Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments","status":"ready","contacts":[{"contact_name":"Eric Deutsch","contact_email":"edeutsch@systemsbiology.org","contact_orcid":"0000-0001-8732-0928"}],"homepage":"http://mged.sourceforge.net/misfishie/","identifier":174,"description":"MISFISHIE is the Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments. This specification details the minimum information that should be provided when publishing, making public, or exchanging results from visual interpretation-based tissue gene expression localization experiments such as in situ hybridization, immunohistochemistry, reporter construct genetic experiments (GFP/green fluorescent protein, β-galactosidase), etc. Compliance to this standard is expected to provide researchers at other labs enough information to reproduce the experiment and/or to fully evaluate the data upon which results are based.","abbreviation":"MISFISHIE","support_links":[{"url":"http://mibbi.sf.net/projects/MISFISHIE.shtml","type":"Help documentation"},{"url":"http://scgap.systemsbiology.net/standards/misfishie/","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000171","bsg-s000171"],"name":"FAIRsharing record for: Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments","abbreviation":"MISFISHIE","url":"https://fairsharing.org/10.25504/FAIRsharing.ht22t4","doi":"10.25504/FAIRsharing.ht22t4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MISFISHIE is the Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments. This specification details the minimum information that should be provided when publishing, making public, or exchanging results from visual interpretation-based tissue gene expression localization experiments such as in situ hybridization, immunohistochemistry, reporter construct genetic experiments (GFP/green fluorescent protein, β-galactosidase), etc. Compliance to this standard is expected to provide researchers at other labs enough information to reproduce the experiment and/or to fully evaluate the data upon which results are based.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11577},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11969},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12419}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Evidence","Expression data","Ribonucleic acid","Antibody","Cellular localization","In situ hybridization","Immunohistochemistry","Whole mount tissue","Fluorescence","Intensity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":847,"pubmed_id":18327244,"title":"Minimum information specification for in situ hybridization and immunohistochemistry experiments (MISFISHIE).","year":2008,"url":"http://doi.org/10.1038/nbt1391","authors":"Deutsch EW,Ball CA,Berman JJ,Bova GS,Brazma A,Bumgarner RE,Campbell D,Causton HC,Christiansen JH,Daian F,Dauga D,Davidson DR,Gimenez G,Goo YA,Grimmond S,Henrich T,Herrmann BG,Johnson MH,Korb M,Mills JC,Oudes AJ,Parkinson HE,Pascal LE,Pollet N,Quackenbush J,Ramialison M,Ringwald M,Salgado D,Sansone SA,Sherlock G,Stoeckert CJ Jr,Swedlow J,Taylor RC,Walashek L,Warford A,Wilkinson DG,Zhou Y,Zon LI,Liu AY,True LD","journal":"Nat Biotechnol","doi":"10.1038/nbt1391","created_at":"2021-09-30T08:23:53.446Z","updated_at":"2021-09-30T08:23:53.446Z"},{"id":1681,"pubmed_id":16901227,"title":"Development of the Minimum Information Specification for In Situ Hybridization and Immunohistochemistry Experiments (MISFISHIE).","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.205","authors":"Deutsch EW,Ball CA,Bova GS,Brazma A,Bumgarner RE,Campbell D,Causton HC,Christiansen J,Davidson D,Eichner LJ,Goo YA,Grimmond S,Henrich T,Johnson MH,Korb M,Mills JC,Oudes A,Parkinson HE,Pascal LE,Quackenbush J,Ramialison M,Ringwald M,Sansone SA,Sherlock G,Stoeckert CJ Jr,Swedlow J,Taylor RC,Walashek L,Zhou Y,Liu AY,True LD","journal":"OMICS","doi":"10.1089/omi.2006.10.205","created_at":"2021-09-30T08:25:28.304Z","updated_at":"2021-09-30T08:25:28.304Z"}],"licence_links":[],"grants":[{"id":5214,"fairsharing_record_id":174,"organisation_id":1074,"relation":"maintains","created_at":"2021-09-30T09:27:19.085Z","updated_at":"2021-09-30T09:27:19.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":1074,"name":"Functional Genomics Data Society (FGED); MISFISHIE working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5213,"fairsharing_record_id":174,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:27:19.054Z","updated_at":"2021-09-30T09:27:19.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5215,"fairsharing_record_id":174,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:27:19.127Z","updated_at":"2021-09-30T09:27:19.127Z","grant_id":null,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"175","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:25.000Z","updated_at":"2022-07-20T12:20:08.690Z","metadata":{"doi":"10.25504/FAIRsharing.VrP6sm","name":"FAIR Maturity Indicator Gen2-MI-A1.2","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_A1.2.md","identifier":175,"description":"The FAIR Maturity Indicator Gen2-MI-A1.2 measures if the resolution protocol supports authentication and authorization for access to restricted content.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001370","bsg-s001370"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-A1.2","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.VrP6sm","doi":"10.25504/FAIRsharing.VrP6sm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-A1.2 measures if the resolution protocol supports authentication and authorization for access to restricted content.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13193},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13204},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13224},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13254},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13269},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20172}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1481,"relation":"undefined"}],"grants":[{"id":5217,"fairsharing_record_id":175,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:19.206Z","updated_at":"2021-09-30T09:27:19.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5216,"fairsharing_record_id":175,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:19.168Z","updated_at":"2021-09-30T09:27:19.168Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5218,"fairsharing_record_id":175,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:19.239Z","updated_at":"2021-09-30T09:27:19.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5219,"fairsharing_record_id":175,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:19.262Z","updated_at":"2021-09-30T09:27:19.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"176","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:34.000Z","updated_at":"2022-07-20T11:16:10.478Z","metadata":{"doi":"10.25504/FAIRsharing.lEZbPK","name":"FAIR Maturity Indicator Gen2-MI-A2","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_A2.md","identifier":176,"description":"The FAIR Maturity Indicator Gen2-MI-A2 measures if there is a policy for metadata persistence. Cross-references to data from third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001371","bsg-s001371"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-A2","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.lEZbPK","doi":"10.25504/FAIRsharing.lEZbPK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-A2 measures if there is a policy for metadata persistence. Cross-references to data from third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13203},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13223},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13253},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13268},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20174}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1482,"relation":"undefined"}],"grants":[{"id":5221,"fairsharing_record_id":176,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:19.312Z","updated_at":"2021-09-30T09:27:19.312Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5220,"fairsharing_record_id":176,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:19.288Z","updated_at":"2021-09-30T09:27:19.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5222,"fairsharing_record_id":176,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:19.337Z","updated_at":"2021-09-30T09:27:19.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5223,"fairsharing_record_id":176,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:19.362Z","updated_at":"2021-09-30T09:27:19.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"177","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:09.702Z","metadata":{"doi":"10.25504/FAIRsharing.qcceez","name":"Ontology of Physics for Biology","status":"ready","contacts":[{"contact_name":"Daniel L. Cook","contact_email":"dcook@u.washington.edu"}],"homepage":"https://sites.google.com/site/semanticsofbiologicalprocesses/projects/the-ontology-of-physics-for-biology-opb","identifier":177,"description":"The Ontology of Physics for Biology is a reference of classical physics as applied to the dynamics of biological systems. This resource provides a reference ontology of physical properties (e.g., pressure, chemical concentration) and principles (e.g., Ohm’s law, Ficke’s law) by which the physical meaning of biosimulation models may be annotated.","abbreviation":"OPB","support_links":[{"url":"maxneal@gmail.com","name":"Max Neal","type":"Support email"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OPB","name":"OPB","portal":"BioPortal"}]},"legacy_ids":["bsg-000044","bsg-s000044"],"name":"FAIRsharing record for: Ontology of Physics for Biology","abbreviation":"OPB","url":"https://fairsharing.org/10.25504/FAIRsharing.qcceez","doi":"10.25504/FAIRsharing.qcceez","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Physics for Biology is a reference of classical physics as applied to the dynamics of biological systems. This resource provides a reference ontology of physical properties (e.g., pressure, chemical concentration) and principles (e.g., Ohm’s law, Ficke’s law) by which the physical meaning of biosimulation models may be annotated.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11141},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11932},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12198}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Physics"],"domains":["Mathematical model","Concentration","Kinetic model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1125,"pubmed_id":22216106,"title":"Physical properties of biological entities: an introduction to the ontology of physics for biology.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0028708","authors":"Cook DL,Bookstein FL,Gennari JH","journal":"PLoS One","doi":"10.1371/journal.pone.0028708","created_at":"2021-09-30T08:24:24.650Z","updated_at":"2021-09-30T08:24:24.650Z"},{"id":2645,"pubmed_id":null,"title":"Bridging Biological Ontologies and Biosimulation: The Ontology of Physics for Biology","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656075/","authors":"Cook DL, Mejino JLV, Neal ML, Gennari JH.","journal":"AMIA Annual Symposium Proceedings","doi":null,"created_at":"2021-09-30T08:27:24.831Z","updated_at":"2021-09-30T11:28:37.022Z"},{"id":2646,"pubmed_id":24295137,"title":"Ontology of physics for biology: representing physical dependencies as a basis for biological processes.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-41","authors":"Cook DL,Neal ML,Bookstein FL,Gennari JH","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-41","created_at":"2021-09-30T08:27:24.938Z","updated_at":"2021-09-30T08:27:24.938Z"}],"licence_links":[],"grants":[{"id":5226,"fairsharing_record_id":177,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:19.438Z","updated_at":"2021-09-30T09:27:19.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5228,"fairsharing_record_id":177,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:19.531Z","updated_at":"2021-09-30T09:27:19.531Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5227,"fairsharing_record_id":177,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:19.498Z","updated_at":"2021-09-30T09:31:21.500Z","grant_id":1133,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 HL087706-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5225,"fairsharing_record_id":177,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:19.412Z","updated_at":"2021-09-30T09:28:56.983Z","grant_id":27,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM094503","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"212","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:04.000Z","updated_at":"2022-07-20T12:09:33.316Z","metadata":{"doi":"10.25504/FAIRsharing.5Xy1dJ","name":"FAIR Maturity Indicator Gen2-MI-F3","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F3.md","identifier":212,"description":"The FAIR Maturity Indicator Gen2-MI-F3 measures whether the metadata document contains both its own GUID (which may be different from its address), and whether it also explicitly contains the GUID for the data resource it describes.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001376","bsg-s001376"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F3","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.5Xy1dJ","doi":"10.25504/FAIRsharing.5Xy1dJ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F3 measures whether the metadata document contains both its own GUID (which may be different from its address), and whether it also explicitly contains the GUID for the data resource it describes.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13166},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13209},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13227},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13257},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13272},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20170}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1487,"relation":"undefined"}],"grants":[{"id":5290,"fairsharing_record_id":212,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:21.902Z","updated_at":"2021-09-30T09:27:21.902Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5287,"fairsharing_record_id":212,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:21.789Z","updated_at":"2021-09-30T09:27:21.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5288,"fairsharing_record_id":212,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:21.825Z","updated_at":"2021-09-30T09:27:21.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5289,"fairsharing_record_id":212,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:21.863Z","updated_at":"2021-09-30T09:27:21.863Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"213","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:19.995Z","metadata":{"doi":"10.25504/FAIRsharing.wp0134","name":"Clusters of Orthologous Groups (COG) Analysis Ontology","status":"ready","contacts":[{"contact_name":"Asiyah Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"http://sourceforge.net/projects/cao/","identifier":213,"description":"CAO ontology is designed for supporting the COG enrichment study by using Fisher's exact test. It is used for the ontology based application for statistical analysis on COG db.","abbreviation":"CAO","support_links":[{"url":"http://www.hegroup.org/docs/OntoCOG_ICBO-2011_Proceeding.pdf","type":"Help documentation"}],"year_creation":1996,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CAO","name":"CAO","portal":"BioPortal"}]},"legacy_ids":["bsg-002712","bsg-s002712"],"name":"FAIRsharing record for: Clusters of Orthologous Groups (COG) Analysis Ontology","abbreviation":"CAO","url":"https://fairsharing.org/10.25504/FAIRsharing.wp0134","doi":"10.25504/FAIRsharing.wp0134","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CAO ontology is designed for supporting the COG enrichment study by using Fisher's exact test. It is used for the ontology based application for statistical analysis on COG db.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phylogenetics","Life Science"],"domains":["Annotation","Protein","Transcript","Gene","Amino acid sequence","Orthologous"],"taxonomies":["Archaea","Bacteria","Fungi","Methanocaldococcus jannaschii","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":434,"pubmed_id":9381173,"title":"A genomic perspective on protein families.","year":1997,"url":"http://doi.org/10.1126/science.278.5338.631","authors":"Tatusov RL., Koonin EV., Lipman DJ.,","journal":"Science","doi":"10.1126/science.278.5338.631","created_at":"2021-09-30T08:23:07.176Z","updated_at":"2021-09-30T08:23:07.176Z"}],"licence_links":[],"grants":[{"id":5291,"fairsharing_record_id":213,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:21.938Z","updated_at":"2021-09-30T09:27:21.938Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5292,"fairsharing_record_id":213,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:21.980Z","updated_at":"2021-09-30T09:27:21.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"214","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:09.000Z","updated_at":"2022-07-20T12:41:11.471Z","metadata":{"doi":"10.25504/FAIRsharing.x1f1l4","name":"FAIR Maturity Indicator Gen2-MI-F4","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F4.md","identifier":214,"description":"The FAIR Maturity Indicator Gen2-MI-F4 measures the degree to which the digital resource can be found using web-based search engines.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001377","bsg-s001377"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F4","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.x1f1l4","doi":"10.25504/FAIRsharing.x1f1l4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F4 measures the degree to which the digital resource can be found using web-based search engines.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13207},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13226},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13256},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13271},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20171}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1488,"relation":"undefined"}],"grants":[{"id":5293,"fairsharing_record_id":214,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:22.017Z","updated_at":"2021-09-30T09:27:22.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5294,"fairsharing_record_id":214,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:22.050Z","updated_at":"2021-09-30T09:27:22.050Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5295,"fairsharing_record_id":214,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:22.074Z","updated_at":"2021-09-30T09:27:22.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5296,"fairsharing_record_id":214,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:22.099Z","updated_at":"2021-09-30T09:27:22.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"215","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.961Z","metadata":{"doi":"10.25504/FAIRsharing.qeb7hb","name":"Pharmacogenomic Relationships Ontology","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"adrien.coulet@loria.fr","contact_orcid":"0000-0002-1466-062X"}],"homepage":"http://bioportal.bioontology.org/ontologies/1550","identifier":215,"description":"The PHArmacogenomic RElationships Ontology (or PHARE) proposes concepts and roles to represent relationships of pharmacogenomics interest.","abbreviation":"PHARE","year_creation":2010},"legacy_ids":["bsg-002697","bsg-s002697"],"name":"FAIRsharing record for: Pharmacogenomic Relationships Ontology","abbreviation":"PHARE","url":"https://fairsharing.org/10.25504/FAIRsharing.qeb7hb","doi":"10.25504/FAIRsharing.qeb7hb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PHArmacogenomic RElationships Ontology (or PHARE) proposes concepts and roles to represent relationships of pharmacogenomics interest.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11722},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12455}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacology","Pharmacogenomics","Biomedical Science"],"domains":["Chemical entity","Molecular interaction","Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1762,"pubmed_id":21624156,"title":"Integration and publication of heterogeneous text-mined relationships on the Semantic Web.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-S2-S10","authors":"Coulet A,Garten Y,Dumontier M,Altman RB,Musen MA,Shah NH","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-S2-S10","created_at":"2021-09-30T08:25:37.705Z","updated_at":"2021-09-30T08:25:37.705Z"}],"licence_links":[],"grants":[{"id":5297,"fairsharing_record_id":215,"organisation_id":2981,"relation":"maintains","created_at":"2021-09-30T09:27:22.130Z","updated_at":"2021-09-30T09:27:22.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5298,"fairsharing_record_id":215,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:22.171Z","updated_at":"2021-09-30T09:30:52.494Z","grant_id":913,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5301,"fairsharing_record_id":215,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:22.291Z","updated_at":"2021-09-30T09:27:22.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5299,"fairsharing_record_id":215,"organisation_id":2315,"relation":"funds","created_at":"2021-09-30T09:27:22.213Z","updated_at":"2021-09-30T09:30:54.957Z","grant_id":934,"is_lead":false,"saved_state":{"id":2315,"name":"PharmGKB","grant":"GM61374","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5300,"fairsharing_record_id":215,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:22.263Z","updated_at":"2021-09-30T09:29:04.760Z","grant_id":83,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"CNS-0619926","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"216","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:06:35.054Z","metadata":{"doi":"10.25504/FAIRsharing.rhhrtx","name":"Bone Dysplasia Ontology","status":"uncertain","contacts":[{"contact_name":"Tudor Groza","contact_email":"tudor.groza@uq.edu.au","contact_orcid":"0000-0003-2267-8333"}],"homepage":"http://bioportal.bioontology.org/ontologies/1613","citations":[],"identifier":216,"description":"The Bone Dysplasia ontology provides a comprehensive and formal representation of the different domain concepts involved in documenting the full complexity of the skeletal dysplasia domain. It captures and combines the genetic features that discriminate the bone dysplasias with the multitude of phenotypic characteristics manifested by patients and required to be taken into account in order to support the diagnosis process.","abbreviation":"BDO","year_creation":2011},"legacy_ids":["bsg-002719","bsg-s002719"],"name":"FAIRsharing record for: Bone Dysplasia Ontology","abbreviation":"BDO","url":"https://fairsharing.org/10.25504/FAIRsharing.rhhrtx","doi":"10.25504/FAIRsharing.rhhrtx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bone Dysplasia ontology provides a comprehensive and formal representation of the different domain concepts involved in documenting the full complexity of the skeletal dysplasia domain. It captures and combines the genetic features that discriminate the bone dysplasias with the multitude of phenotypic characteristics manifested by patients and required to be taken into account in order to support the diagnosis process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Bone disease","Mutation analysis","Phenotype","Bone","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1774,"pubmed_id":22449239,"title":"The Bone Dysplasia Ontology: integrating genotype and phenotype information in the skeletal dysplasia domain.","year":2012,"url":"http://doi.org/10.1186/1471-2105-13-50","authors":"Groza T,Hunter J,Zankl A","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-13-50","created_at":"2021-09-30T08:25:39.088Z","updated_at":"2021-09-30T08:25:39.088Z"}],"licence_links":[],"grants":[{"id":5302,"fairsharing_record_id":216,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:27:22.321Z","updated_at":"2021-09-30T09:27:22.321Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5303,"fairsharing_record_id":216,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:27:22.359Z","updated_at":"2021-09-30T09:31:37.260Z","grant_id":1252,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"SKELETOME--LP100100156","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5304,"fairsharing_record_id":216,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:27:22.405Z","updated_at":"2021-09-30T09:27:22.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"168","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.758Z","metadata":{"doi":"10.25504/FAIRsharing.xs6t67","name":"Fungal Gross Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Diane Inglis","contact_email":"dinglis@stanford.edu","contact_orcid":"0000-0003-3166-4638"}],"homepage":"https://github.com/obophenotype/fungal-anatomy-ontology","identifier":168,"description":"A structured controlled vocabulary for the anatomy of fungi.","abbreviation":"FAO","support_links":[{"url":"sgd-helpdesk@lists.stanford.edu","name":"Saccharomyces Genome Database","type":"Support email"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FAO","name":"FAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fao.html","name":"fao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002605","bsg-s002605"],"name":"FAIRsharing record for: Fungal Gross Anatomy Ontology","abbreviation":"FAO","url":"https://fairsharing.org/10.25504/FAIRsharing.xs6t67","doi":"10.25504/FAIRsharing.xs6t67","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the anatomy of fungi.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14554}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Microbiology"],"domains":[],"taxonomies":["Fungi","Saccharomyces"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"169","type":"fairsharing_records","attributes":{"created_at":"2017-02-23T11:48:15.000Z","updated_at":"2023-02-15T10:32:24.329Z","metadata":{"doi":"10.25504/FAIRsharing.nrx5kk","name":"Infrastructure for Spatial Information in Europe Data Specifications","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ENV-INSPIRE@ec.europa.eu"}],"homepage":"https://inspire.ec.europa.eu/data-specifications/2892","citations":[],"identifier":169,"description":"The INSPIRE Directive aims to create a European Union spatial data infrastructure for the purposes of EU environmental policies and policies or activities which may have an impact on the environment. This European Spatial Data Infrastructure will enable the sharing of environmental spatial information among public sector organisations, facilitate public access to spatial information across Europe and assist in policy-making across boundaries.","abbreviation":"INSPIRE","support_links":[{"url":"http://inspire.ec.europa.eu/portfolio/training-library","type":"Training documentation"}],"year_creation":2007},"legacy_ids":["bsg-000691","bsg-s000691"],"name":"FAIRsharing record for: Infrastructure for Spatial Information in Europe Data Specifications","abbreviation":"INSPIRE","url":"https://fairsharing.org/10.25504/FAIRsharing.nrx5kk","doi":"10.25504/FAIRsharing.nrx5kk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The INSPIRE Directive aims to create a European Union spatial data infrastructure for the purposes of EU environmental policies and policies or activities which may have an impact on the environment. This European Spatial Data Infrastructure will enable the sharing of environmental spatial information among public sector organisations, facilitate public access to spatial information across Europe and assist in policy-making across boundaries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Soil Science","Environmental Science","Geology","Transportation Planning","Geography","Energy Engineering","Health Science","Hydrography","Atmospheric Science","Agriculture","Mineralogy","Oceanography"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":5206,"fairsharing_record_id":169,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:18.880Z","updated_at":"2021-09-30T09:27:18.880Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"170","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:05.005Z","metadata":{"doi":"10.25504/FAIRsharing.p9xm4v","name":"ABA Adult Mouse Brain","status":"ready","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmu.edu"}],"homepage":"http://mouse.brain-map.org","identifier":170,"description":"ABA Adult Mouse Brain is a standardised collection of the expression patterns of thousands of adult brain genes. This resource can be used for a vast array of research on brain organisation and function. There are lighter versions of this ontology that are customised for the NeuroMorpho.Org brain regions.","abbreviation":"ABA","support_links":[{"url":"http://allins.convio.net/site/PageServer?pagename=send_message_ai","name":"contact form","type":"Contact form"}],"year_creation":2006},"legacy_ids":["bsg-002606","bsg-s002606"],"name":"FAIRsharing record for: ABA Adult Mouse Brain","abbreviation":"ABA","url":"https://fairsharing.org/10.25504/FAIRsharing.p9xm4v","doi":"10.25504/FAIRsharing.p9xm4v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ABA Adult Mouse Brain is a standardised collection of the expression patterns of thousands of adult brain genes. This resource can be used for a vast array of research on brain organisation and function. There are lighter versions of this ontology that are customised for the NeuroMorpho.Org brain regions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neuroscience"],"domains":["Gene expression","Brain","Brain imaging"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2427,"pubmed_id":17151600,"title":"Genome-wide atlas of gene expression in the adult mouse brain.","year":2006,"url":"http://doi.org/10.1038/nature05453","authors":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","journal":"Nature","doi":"10.1038/nature05453","created_at":"2021-09-30T08:26:57.828Z","updated_at":"2021-09-30T08:26:57.828Z"}],"licence_links":[],"grants":[{"id":5207,"fairsharing_record_id":170,"organisation_id":59,"relation":"maintains","created_at":"2021-09-30T09:27:18.904Z","updated_at":"2021-09-30T09:27:18.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":59,"name":"Allen Brain Atlas Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"171","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:38:31.888Z","metadata":{"doi":"10.25504/FAIRsharing.qdjc1z","name":"Pharmacovigilance Ontology","status":"deprecated","contacts":[{"contact_name":"Jun (Luke) Huan","contact_email":"jhuan@ittc.ku.edu","contact_orcid":"0000-0003-4929-2617"}],"homepage":"http://bioportal.bioontology.org/ontologies/1567","citations":[],"identifier":171,"description":"The pharmacovigilance ontology connects known facts on drugs, disease, ADEs, and their molecular mechanisms.","abbreviation":"PVONTO","support_links":[{"url":"http://www.ittc.ku.edu/~jhuan/","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PVONTO","name":"PVONTO","portal":"BioPortal"}],"deprecation_date":"2024-05-06","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002701","bsg-s002701"],"name":"FAIRsharing record for: Pharmacovigilance Ontology","abbreviation":"PVONTO","url":"https://fairsharing.org/10.25504/FAIRsharing.qdjc1z","doi":"10.25504/FAIRsharing.qdjc1z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The pharmacovigilance ontology connects known facts on drugs, disease, ADEs, and their molecular mechanisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Molecular interaction","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5210,"fairsharing_record_id":171,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:18.979Z","updated_at":"2021-09-30T09:27:18.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9165,"fairsharing_record_id":171,"organisation_id":1622,"relation":"maintains","created_at":"2022-04-11T12:07:18.741Z","updated_at":"2022-04-11T12:07:18.741Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"172","type":"fairsharing_records","attributes":{"created_at":"2021-01-04T13:13:00.000Z","updated_at":"2022-09-28T15:03:03.071Z","metadata":{"doi":"10.25504/FAIRsharing.fyiMub","name":"Electrical engineering and Electro-energetics vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/BJW/en/","citations":[],"identifier":172,"description":"Terminology resource derived from a controlled vocabulary used for indexing bibliographical records for the PASCAL database of Inist (1972-2015, http://pascal-francis.inist.fr/), in the fields of Electrical engineering and Electro-energetics. It is aligned with wikidata. This resource contains 6630 entries grouped into 34 collections.","abbreviation":null,"year_creation":2020},"legacy_ids":["bsg-001557","bsg-s001557"],"name":"FAIRsharing record for: Electrical engineering and Electro-energetics vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fyiMub","doi":"10.25504/FAIRsharing.fyiMub","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology resource derived from a controlled vocabulary used for indexing bibliographical records for the PASCAL database of Inist (1972-2015, http://pascal-francis.inist.fr/), in the fields of Electrical engineering and Electro-energetics. It is aligned with wikidata. This resource contains 6630 entries grouped into 34 collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Energy Engineering","Electrical Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Electro-energetics"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":259,"relation":"undefined"}],"grants":[{"id":5211,"fairsharing_record_id":172,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:19.003Z","updated_at":"2021-09-30T09:27:19.003Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5212,"fairsharing_record_id":172,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:19.030Z","updated_at":"2021-09-30T09:27:19.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"173","type":"fairsharing_records","attributes":{"created_at":"2020-12-18T19:24:10.000Z","updated_at":"2023-03-14T18:04:25.150Z","metadata":{"doi":"10.25504/FAIRsharing.LKgRmR","name":"Genomedata","status":"ready","contacts":[{"contact_name":"Michael Hoffman","contact_email":"genomedata-l@listserv.utoronto.ca","contact_orcid":"0000-0002-4517-1562"}],"homepage":"https://genomedata.hoffmanlab.org/","citations":[{"doi":"10.1093/bioinformatics/btq164","pubmed_id":20435580,"publication_id":3107}],"identifier":173,"description":"Genomedata is a format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. We have also developed utilities to load data into this format. A reference implementation in Python and C components is available here under the GNU General Public License.","abbreviation":"Genomedata","year_creation":2009},"legacy_ids":["bsg-001569","bsg-s001569"],"name":"FAIRsharing record for: Genomedata","abbreviation":"Genomedata","url":"https://fairsharing.org/10.25504/FAIRsharing.LKgRmR","doi":"10.25504/FAIRsharing.LKgRmR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genomedata is a format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. We have also developed utilities to load data into this format. A reference implementation in Python and C components is available here under the GNU General Public License.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Genome","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":3107,"pubmed_id":20435580,"title":"The Genomedata format for storing large-scale functional genomics data.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq164","authors":"Hoffman MM,Buske OJ,Noble WS","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq164","created_at":"2021-09-30T08:28:22.742Z","updated_at":"2021-09-30T08:28:22.742Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":119,"relation":"undefined"}],"grants":[{"id":10415,"fairsharing_record_id":173,"organisation_id":714,"relation":"undefined","created_at":"2023-03-14T18:03:25.009Z","updated_at":"2023-03-14T18:03:25.009Z","grant_id":null,"is_lead":false,"saved_state":{"id":714,"name":"Department of Genome Sciences, University of Washington","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"178","type":"fairsharing_records","attributes":{"created_at":"2016-01-21T09:00:51.000Z","updated_at":"2022-07-20T12:57:55.507Z","metadata":{"doi":"10.25504/FAIRsharing.kbz5jh","name":"Mathematical Modelling Ontology","status":"ready","contacts":[{"contact_name":"Nicolas Le Novere","contact_email":"n.lenovere@gmail.com","contact_orcid":"0000-0002-6309-7327"}],"homepage":"http://co.mbine.org/standards/mamo","identifier":178,"description":"Classification of the types of mathematical models used mostly in the life sciences, the types of variables, the types of readout and other relevant features.","abbreviation":"MAMO","support_links":[{"url":"https://sourceforge.net/p/mamo-ontology/mailman/mamo-ontology-discuss/","name":"Discussion Mailing List","type":"Mailing list"},{"url":"https://sourceforge.net/p/mamo-ontology/wiki/Home/","name":"Wiki Pages","type":"Help documentation"},{"url":"https://sourceforge.net/projects/mamo-ontology/","name":"SourceForge Repository","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MAMO","name":"MAMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mamo.html","name":"mamo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000636","bsg-s000636"],"name":"FAIRsharing record for: Mathematical Modelling Ontology","abbreviation":"MAMO","url":"https://fairsharing.org/10.25504/FAIRsharing.kbz5jh","doi":"10.25504/FAIRsharing.kbz5jh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Classification of the types of mathematical models used mostly in the life sciences, the types of variables, the types of readout and other relevant features.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12100},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12231},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16921}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Mathematics","Computational Biology","Systems Biology"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":2403,"relation":"undefined"}],"grants":[{"id":5229,"fairsharing_record_id":178,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:19.554Z","updated_at":"2021-09-30T09:27:19.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"179","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:47:14.185Z","metadata":{"doi":"10.25504/FAIRsharing.175hsz","name":"General Formal Ontology","status":"ready","contacts":[{"contact_name":"Heinrich Herre","contact_email":"heinrich.herre@imise.uni-leipzig.de"}],"homepage":"https://www.onto-med.de/ontologies/gfo/","identifier":179,"description":"The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas.","abbreviation":"GFO","support_links":[{"url":"gfo-users@nongnu.org","name":"Users Mailing List","type":"Mailing list"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GFO","name":"GFO","portal":"BioPortal"}]},"legacy_ids":["bsg-002657","bsg-s002657"],"name":"FAIRsharing record for: General Formal Ontology","abbreviation":"GFO","url":"https://fairsharing.org/10.25504/FAIRsharing.175hsz","doi":"10.25504/FAIRsharing.175hsz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5231,"fairsharing_record_id":179,"organisation_id":3079,"relation":"maintains","created_at":"2021-09-30T09:27:19.619Z","updated_at":"2021-09-30T09:27:19.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":3079,"name":"University of Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5230,"fairsharing_record_id":179,"organisation_id":2250,"relation":"maintains","created_at":"2021-09-30T09:27:19.588Z","updated_at":"2021-09-30T09:27:19.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2250,"name":"Onto-Med Research Group, Universitat Leipzig, Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"180","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.441Z","metadata":{"doi":"10.25504/FAIRsharing.my19zk","name":"Minimum Information About a RNAi Experiment","status":"ready","contacts":[{"contact_name":"Peter Ghazal","contact_email":"p.ghazal@ed.ac.uk"}],"homepage":"http://miare.sourceforge.net","identifier":180,"description":"Minimum Information About an RNAi Experiment (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","abbreviation":"MIARE","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/miare-announce","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIARE.shtml","type":"Help documentation"},{"url":"http://miare.sourceforge.net/ChecklistV080","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000186","bsg-s000186"],"name":"FAIRsharing record for: Minimum Information About a RNAi Experiment","abbreviation":"MIARE","url":"https://fairsharing.org/10.25504/FAIRsharing.my19zk","doi":"10.25504/FAIRsharing.my19zk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimum Information About an RNAi Experiment (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11165},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11595},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12004}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Annotation","Gene expression","Regulation of gene expression","RNA interference","Assay","Small interfering RNA","Gene","Short Hairpin RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1524,"pubmed_id":17716236,"title":"Increasing the robustness and validity of RNAi screens.","year":2007,"url":"http://doi.org/10.2217/14622416.8.8.1037","authors":"Haney SA","journal":"Pharmacogenomics","doi":"10.2217/14622416.8.8.1037","created_at":"2021-09-30T08:25:10.629Z","updated_at":"2021-09-30T08:25:10.629Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":122,"relation":"undefined"}],"grants":[{"id":5232,"fairsharing_record_id":180,"organisation_id":1848,"relation":"maintains","created_at":"2021-09-30T09:27:19.659Z","updated_at":"2021-09-30T09:27:19.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":1848,"name":"Minimum Information About an RNAi Experiment (MIARE) informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"181","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:30.606Z","metadata":{"doi":"10.25504/FAIRsharing.xx2wv5","name":"Pharmacogenomics Ontology","status":"ready","contacts":[{"contact_name":"Teri E. Klein","contact_email":"teri.klein@stanford.edu"}],"homepage":"https://code.google.com/p/pharmgkb-owl/","identifier":181,"description":"The PharmGKB Ontology imports genetic sequence data, collected in relational format, into the OWL, and aims to automate the process of updating the links between the ontology and data acquisition when the ontology changes. They have linked PharmGKB with data acquisition from a relational model of genetic sequence information.","abbreviation":"PharmGKB-owl","support_links":[{"url":"feedback@pharmgkb.org","type":"Support email"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHARMGKB","name":"PHARMGKB","portal":"BioPortal"}]},"legacy_ids":["bsg-002745","bsg-s002745"],"name":"FAIRsharing record for: Pharmacogenomics Ontology","abbreviation":"PharmGKB-owl","url":"https://fairsharing.org/10.25504/FAIRsharing.xx2wv5","doi":"10.25504/FAIRsharing.xx2wv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PharmGKB Ontology imports genetic sequence data, collected in relational format, into the OWL, and aims to automate the process of updating the links between the ontology and data acquisition when the ontology changes. They have linked PharmGKB with data acquisition from a relational model of genetic sequence information.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12466}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacogenomics","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1778,"pubmed_id":16100408,"title":"PharmGKB: the pharmacogenetics and pharmacogenomics knowledge base.","year":2005,"url":"http://doi.org/10.1385/1-59259-957-5:179","authors":"Thorn CF,Klein TE,Altman RB","journal":"Methods Mol Biol","doi":"10.1385/1-59259-957-5:179","created_at":"2021-09-30T08:25:39.587Z","updated_at":"2021-09-30T08:25:39.587Z"}],"licence_links":[],"grants":[{"id":5233,"fairsharing_record_id":181,"organisation_id":2316,"relation":"maintains","created_at":"2021-09-30T09:27:19.700Z","updated_at":"2021-09-30T09:27:19.700Z","grant_id":null,"is_lead":false,"saved_state":{"id":2316,"name":"PharmGKB OWL Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"182","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-01-28T16:50:22.401Z","metadata":{"doi":"10.25504/FAIRsharing.18je7e","name":"Ontology for Newborn Screening Follow-up and Translational Research","status":"deprecated","contacts":[{"contact_name":"Snezana Nikolic","contact_email":"snez.sn@gmail.com"},{"contact_name":"Rani H. Singh","contact_email":"rsingh@emory.edu","contact_orcid":null}],"homepage":"http://code.google.com/p/onstr/","citations":[],"identifier":182,"description":"Ontology for Newborn Screening Follow-up and Translational Research (ONSTR) is an application ontology for representing data entities, practices and knowledge in the domain of newborn screening and short-­‐ and long-­‐term follow-­‐up of patients diagnosed with inheritable and congenital disorders. No project homepage could be found, and the resource has not been updated recently. Please get in touch if you have information about this resource.","abbreviation":"ONSTR","support_links":[{"url":"http://ceur-ws.org/Vol-1060/icbo2013_submission_47.pdf","name":"Submission Manuscript","type":"Other"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONSTR","name":"ONSTR","portal":"BioPortal"}],"deprecation_date":"2022-01-24","deprecation_reason":"This resource has not been updated recently, and we have not been able to contact the developers. Please get in touch if you have information on this resource."},"legacy_ids":["bsg-000954","bsg-s000954"],"name":"FAIRsharing record for: Ontology for Newborn Screening Follow-up and Translational Research","abbreviation":"ONSTR","url":"https://fairsharing.org/10.25504/FAIRsharing.18je7e","doi":"10.25504/FAIRsharing.18je7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Newborn Screening Follow-up and Translational Research (ONSTR) is an application ontology for representing data entities, practices and knowledge in the domain of newborn screening and short-­‐ and long-­‐term follow-­‐up of patients diagnosed with inheritable and congenital disorders. No project homepage could be found, and the resource has not been updated recently. Please get in touch if you have information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Pediatrics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8720,"fairsharing_record_id":182,"organisation_id":857,"relation":"maintains","created_at":"2022-01-10T14:10:12.998Z","updated_at":"2022-01-10T14:10:12.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":857,"name":"Emory University, Atlanta, Georgia, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"202","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:12:09.115Z","metadata":{"doi":"10.25504/FAIRsharing.m283c","name":"Uniprot Core Ontology","status":"ready","contacts":[],"homepage":"http://purl.uniprot.org/core/","citations":[],"identifier":202,"description":"The UniProt core is an OWL ontology that describes the predicates, classes and concepts used to model the UniProt data in RDF.","abbreviation":"core","support_links":[{"url":"http://www.uniprot.org/contact","type":"Contact form"},{"url":"help@uniprot.org","type":"Support email"},{"url":"http://www.uniprot.org/help/","type":"Help documentation"}]},"legacy_ids":["bsg-002767","bsg-s002767"],"name":"FAIRsharing record for: Uniprot Core Ontology","abbreviation":"core","url":"https://fairsharing.org/10.25504/FAIRsharing.m283c","doi":"10.25504/FAIRsharing.m283c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniProt core is an OWL ontology that describes the predicates, classes and concepts used to model the UniProt data in RDF.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Annotation","Protein"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":944,"relation":"undefined"}],"grants":[{"id":5264,"fairsharing_record_id":202,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:27:20.896Z","updated_at":"2021-09-30T09:27:20.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5265,"fairsharing_record_id":202,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:27:20.954Z","updated_at":"2021-09-30T09:27:20.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"203","type":"fairsharing_records","attributes":{"created_at":"2015-09-28T10:20:17.000Z","updated_at":"2022-07-20T12:47:14.325Z","metadata":{"doi":"10.25504/FAIRsharing.4ehmy9","name":"Observations and Measurements","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"simon.cox@csiro.au","contact_orcid":"0000-0002-3884-3420"}],"homepage":"http://www.opengeospatial.org/standards/om","citations":[],"identifier":203,"description":"A conceptual schema for observations, and for features involved in sampling when making observations. These provide models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities. Observations commonly involve sampling of an ultimate feature of interest. This International Standard defines a common set of sampling feature types classified primarily by topological dimension, as well as samples for ex-situ observations. The schema includes relationships between sampling features (sub-sampling, derived samples). This standard describes a UML model for observations and sampling features, which is integrated into the ISO TC 211 Harmonized Model.","abbreviation":"O\u0026M","support_links":[{"url":"http://www.opengeospatial.org/contacts","type":"Contact form"},{"url":"https://www.seegrid.csiro.au/wiki/AppSchemas/ObservationsAndSampling","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"http://ogc.standardstracker.org","name":"Standards Tracker"}]},"legacy_ids":["bsg-000619","bsg-s000619"],"name":"FAIRsharing record for: Observations and Measurements","abbreviation":"O\u0026M","url":"https://fairsharing.org/10.25504/FAIRsharing.4ehmy9","doi":"10.25504/FAIRsharing.4ehmy9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A conceptual schema for observations, and for features involved in sampling when making observations. These provide models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities. Observations commonly involve sampling of an ultimate feature of interest. This International Standard defines a common set of sampling feature types classified primarily by topological dimension, as well as samples for ex-situ observations. The schema includes relationships between sampling features (sub-sampling, derived samples). This standard describes a UML model for observations and sampling features, which is integrated into the ISO TC 211 Harmonized Model.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Engineering Science","Natural Science","Earth Science"],"domains":["Resource metadata","Experimental measurement","Observation design","Measurement"],"taxonomies":["All"],"user_defined_tags":["Defence and intelligence","Forecasting","Natural Resources, Earth and Environment","Open Science"],"countries":["Worldwide"],"publications":[{"id":800,"pubmed_id":null,"title":"ISO 19156:2011 Geographic information -- Observations and measurements","year":2011,"url":"https://www.iso.org/obp/ui/#iso:std:iso:19156:ed-1:v1:en","authors":"No authors listed","journal":"International Standard","doi":null,"created_at":"2021-09-30T08:23:48.201Z","updated_at":"2021-09-30T11:28:31.077Z"},{"id":2486,"pubmed_id":null,"title":"Topic 20: Observations and measurements","year":2010,"url":"https://portal.ogc.org/files/?artifact_id=41579","authors":"Simon Cox","journal":"OGC Abstract Specification","doi":null,"created_at":"2021-09-30T08:27:04.819Z","updated_at":"2021-09-30T11:28:35.980Z"}],"licence_links":[],"grants":[{"id":5266,"fairsharing_record_id":203,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:20.996Z","updated_at":"2021-09-30T09:27:20.996Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5267,"fairsharing_record_id":203,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:21.039Z","updated_at":"2021-09-30T09:27:21.039Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5268,"fairsharing_record_id":203,"organisation_id":624,"relation":"undefined","created_at":"2021-09-30T09:27:21.075Z","updated_at":"2021-09-30T09:27:21.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":624,"name":"CSIRO Land and Water, Highett, Australia","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"204","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-26T09:18:58.930Z","metadata":{"doi":"10.25504/FAIRsharing.sdjk2h","name":"Metathesaurus Current Procedural Terminology","status":"ready","contacts":[{"contact_name":"Customer Service","contact_email":"custserv@nlm.nih.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/CPT/metarepresentation.html","citations":[],"identifier":204,"description":"The Current Procedural Terminology (CPT), a product of the American Medical Association (AMA), are a list of descriptive terms and identifying numeric codes for medical services and procedures that are provided by physicians and health care professionals. CPT codes are used by healthcare professionals for billing of medical services and procedures to public and private health insurance programs.\n\n","abbreviation":"CPT","support_links":[{"url":"https://www.ama-assn.org/topics/cpt-codes","name":"CPT Codes","type":"Help documentation"},{"url":"https://www.ama-assn.org/amaone/cpt-current-procedural-terminology","name":"CPT® (Current Procedural Terminology)","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-002673","bsg-s002673"],"name":"FAIRsharing record for: Metathesaurus Current Procedural Terminology","abbreviation":"CPT","url":"https://fairsharing.org/10.25504/FAIRsharing.sdjk2h","doi":"10.25504/FAIRsharing.sdjk2h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Current Procedural Terminology (CPT), a product of the American Medical Association (AMA), are a list of descriptive terms and identifying numeric codes for medical services and procedures that are provided by physicians and health care professionals. CPT codes are used by healthcare professionals for billing of medical services and procedures to public and private health insurance programs.\n\n","linked_records":[],"linking_records":[{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17688}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":3367,"relation":"applies_to_content"}],"grants":[{"id":5269,"fairsharing_record_id":204,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:27:21.112Z","updated_at":"2021-09-30T09:27:21.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11010,"fairsharing_record_id":204,"organisation_id":78,"relation":"associated_with","created_at":"2023-10-18T19:30:18.755Z","updated_at":"2023-10-18T19:30:18.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":78,"name":"American Medical Association, USA","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"205","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.703Z","metadata":{"doi":"10.25504/FAIRsharing.xyj0nr","name":"Cognitive Paradigm Ontology","status":"ready","contacts":[{"contact_name":"Jessica Turner","contact_email":"jturner@mrn.org"}],"homepage":"http://www.cogpo.org","identifier":205,"description":"This ontology is used to describe the experimental conditions within cognitive/behavioral experiments, primarily in humans. CogPO is a framework for the formal representation of the cognitive paradigms used in behavioral experiments, driven by cognitive neuroscience and neuroimaging examples.","abbreviation":"CogPO","support_links":[{"url":"http://wiki.cogpo.org/index.php?title=Main_Page","name":"Wiki","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COGPO","name":"COGPO","portal":"BioPortal"}]},"legacy_ids":["bsg-002700","bsg-s002700"],"name":"FAIRsharing record for: Cognitive Paradigm Ontology","abbreviation":"CogPO","url":"https://fairsharing.org/10.25504/FAIRsharing.xyj0nr","doi":"10.25504/FAIRsharing.xyj0nr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is used to describe the experimental conditions within cognitive/behavioral experiments, primarily in humans. CogPO is a framework for the formal representation of the cognitive paradigms used in behavioral experiments, driven by cognitive neuroscience and neuroimaging examples.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Imaging","Behavior","Cognition","Assay","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2161,"pubmed_id":21643732,"title":"The cognitive paradigm ontology: design and application.","year":2011,"url":"http://doi.org/10.1007/s12021-011-9126-x","authors":"Turner JA,Laird AR","journal":"Neuroinformatics","doi":"10.1007/s12021-011-9126-x","created_at":"2021-09-30T08:26:23.616Z","updated_at":"2021-09-30T08:26:23.616Z"}],"licence_links":[],"grants":[{"id":5273,"fairsharing_record_id":205,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:27:21.224Z","updated_at":"2021-09-30T09:27:21.224Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5271,"fairsharing_record_id":205,"organisation_id":1839,"relation":"maintains","created_at":"2021-09-30T09:27:21.165Z","updated_at":"2021-09-30T09:27:21.165Z","grant_id":null,"is_lead":false,"saved_state":{"id":1839,"name":"Mind Research Network (MRN), Albuquerque, NM, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5272,"fairsharing_record_id":205,"organisation_id":2429,"relation":"funds","created_at":"2021-09-30T09:27:21.193Z","updated_at":"2021-09-30T09:27:21.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2429,"name":"Research Imaging Institute, University of Texas Health Science Center, Texas, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5274,"fairsharing_record_id":205,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:27:21.255Z","updated_at":"2021-09-30T09:30:02.738Z","grant_id":528,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"1R01MH084812-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"198","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-02T07:58:27.026Z","metadata":{"doi":"10.25504/FAIRsharing.wpxab1","name":"Current Procedural Terminology","status":"ready","contacts":[{"contact_name":"Dorith Brown","contact_email":"msc@ama-assn.org"}],"homepage":"https://www.ama-assn.org/practice-management/cpt/ama-cpt-licensing-overview","citations":[],"identifier":198,"description":"Current Procedural Terminology is a medical nomenclature used to report medical procedures and services under public and private health insurance programs.","abbreviation":"CPT","year_creation":1966,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CPT","name":"CPT","portal":"BioPortal"}]},"legacy_ids":["bsg-002669","bsg-s002669"],"name":"FAIRsharing record for: Current Procedural Terminology","abbreviation":"CPT","url":"https://fairsharing.org/10.25504/FAIRsharing.wpxab1","doi":"10.25504/FAIRsharing.wpxab1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Current Procedural Terminology is a medical nomenclature used to report medical procedures and services under public and private health insurance programs.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13174},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16971}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1743,"pubmed_id":24589819,"title":"Current procedural terminology; a primer.","year":2014,"url":"http://doi.org/10.1136/neurintsurg-2014-011156","authors":"Hirsch JA,Leslie-Mazwi TM,Nicola GN,Barr RM,Bello JA,Donovan WD,Tu R,Alson MD,Manchikanti L","journal":"J Neurointerv Surg","doi":"10.1136/neurintsurg-2014-011156","created_at":"2021-09-30T08:25:35.555Z","updated_at":"2021-09-30T08:25:35.555Z"},{"id":1751,"pubmed_id":18359442,"title":"CPT: an open system that describes all that you do.","year":2008,"url":"http://doi.org/10.1016/j.jacr.2007.10.004","authors":"Thorwarth WT Jr","journal":"J Am Coll Radiol","doi":"10.1016/j.jacr.2007.10.004","created_at":"2021-09-30T08:25:36.495Z","updated_at":"2021-09-30T08:25:36.495Z"}],"licence_links":[],"grants":[{"id":5258,"fairsharing_record_id":198,"organisation_id":78,"relation":"maintains","created_at":"2021-09-30T09:27:20.633Z","updated_at":"2021-09-30T09:27:20.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":78,"name":"American Medical Association, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"199","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.149Z","metadata":{"doi":"10.25504/FAIRsharing.7zxrs6","name":"Edinburgh human developmental anatomy abstract version 2","status":"ready","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/EHDAA2","identifier":199,"description":"The EHDAA2 ontology is a human developmental anatomy covering the first 49 days [Carnegie stages (CS)1–20], primarily structured around the parts of organ systems and their development. The ontology includes more than 2000 anatomical entities (AEs) that range from the whole embryo, through organ systems and organ parts down to simple or leaf tissues (groups of cells with the same morphological phenotype), as well as features such as cavities. It represents a complete rebuilding of the EHDA intended to meet current standards. The intention has been to include as much information about human developmental anatomy as is practical and as is available in the literature.","abbreviation":"EHDAA2","support_links":[{"url":"http://www.emouseatlas.org/emap/help/feedback/popupemap.php","type":"Contact form"},{"url":"emap@emouseatlas.org","type":"Support email"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EHDAA2","name":"EHDAA2","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ehdaa2.html","name":"ehdaa2","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002675","bsg-s002675"],"name":"FAIRsharing record for: Edinburgh human developmental anatomy abstract version 2","abbreviation":"EHDAA2","url":"https://fairsharing.org/10.25504/FAIRsharing.7zxrs6","doi":"10.25504/FAIRsharing.7zxrs6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EHDAA2 ontology is a human developmental anatomy covering the first 49 days [Carnegie stages (CS)1–20], primarily structured around the parts of organ systems and their development. The ontology includes more than 2000 anatomical entities (AEs) that range from the whole embryo, through organ systems and organ parts down to simple or leaf tissues (groups of cells with the same morphological phenotype), as well as features such as cavities. It represents a complete rebuilding of the EHDA intended to meet current standards. The intention has been to include as much information about human developmental anatomy as is practical and as is available in the literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Biomedical Science"],"domains":["Animal organ development","Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1052,"pubmed_id":22973865,"title":"A new ontology (structured hierarchy) of human developmental anatomy for the first 7 weeks (Carnegie stages 1-20).","year":2012,"url":"http://doi.org/10.1111/j.1469-7580.2012.01566.x","authors":"Bard J","journal":"J Anat","doi":"10.1111/j.1469-7580.2012.01566.x","created_at":"2021-09-30T08:24:16.472Z","updated_at":"2021-09-30T08:24:16.472Z"}],"licence_links":[],"grants":[{"id":5259,"fairsharing_record_id":199,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:27:20.666Z","updated_at":"2021-09-30T09:27:20.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"200","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:43:04.504Z","metadata":{"doi":"10.25504/FAIRsharing.bgx54j","name":"MaHCO","status":"ready","contacts":[{"contact_name":"David S. DeLuca","contact_email":"david_deluca@dfci.harvard.edu","contact_orcid":"0000-0002-0141-9116"}],"homepage":"http://www.bioinformatics.org/mahco/wiki/","identifier":200,"description":"MHC, or major histocompatibility complex is a gene complex found in jawed vertebrates. The genes found on this region of the genome include several important genes which encode proteins which are responsible for presenting peptides on the cell surface for inspection by cells of the immune system. In human, such genes are called HLA (human leukocyte antigen). MaHCO contains terms necessary for describing and categorizing concepts related to MHC, in general, and for a number of model species, and also for humans.","abbreviation":"MHC","support_links":[{"url":"http://www.bioinformatics.org/forums/?group_id=950","type":"Forum"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MHC","name":"MHC","portal":"BioPortal"}]},"legacy_ids":["bsg-002619","bsg-s002619"],"name":"FAIRsharing record for: MaHCO","abbreviation":"MHC","url":"https://fairsharing.org/10.25504/FAIRsharing.bgx54j","doi":"10.25504/FAIRsharing.bgx54j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MHC, or major histocompatibility complex is a gene complex found in jawed vertebrates. The genes found on this region of the genome include several important genes which encode proteins which are responsible for presenting peptides on the cell surface for inspection by cells of the immune system. In human, such genes are called HLA (human leukocyte antigen). MaHCO contains terms necessary for describing and categorizing concepts related to MHC, in general, and for a number of model species, and also for humans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science"],"domains":["Major histocompatibility complex","Immune system"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":900,"pubmed_id":19429601,"title":"MaHCO: an ontology of the major histocompatibility complex for immunoinformatic applications and text mining.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp306","authors":"DeLuca DS,Beisswanger E,Wermter J,Horn PA,Hahn U,Blasczyk R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp306","created_at":"2021-09-30T08:23:59.437Z","updated_at":"2021-09-30T08:23:59.437Z"}],"licence_links":[],"grants":[{"id":5261,"fairsharing_record_id":200,"organisation_id":1747,"relation":"maintains","created_at":"2021-09-30T09:27:20.771Z","updated_at":"2021-09-30T09:27:20.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":1747,"name":"Major Histocompatibility Complex ontology (MHC) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9343,"fairsharing_record_id":200,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.764Z","updated_at":"2022-04-11T12:07:31.782Z","grant_id":94,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01DS001A-1C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"201","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.359Z","metadata":{"doi":"10.25504/FAIRsharing.eawbqb","name":"Cell Culture Ontology","status":"ready","contacts":[{"contact_name":"Matthias Ganzinger","contact_email":"matthias.ganzinger@med.uni-heidelberg.de","contact_orcid":"0000-0002-2716-5425"}],"homepage":"http://bioportal.bioontology.org/ontologies/3108","identifier":201,"description":"Cell Culture Ontology (CCONT) is an ontology for the formal representation of cell lines and their corresponding culture conditions.","abbreviation":"CCONT","year_creation":2011},"legacy_ids":["bsg-002827","bsg-s002827"],"name":"FAIRsharing record for: Cell Culture Ontology","abbreviation":"CCONT","url":"https://fairsharing.org/10.25504/FAIRsharing.eawbqb","doi":"10.25504/FAIRsharing.eawbqb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cell Culture Ontology (CCONT) is an ontology for the formal representation of cell lines and their corresponding culture conditions.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10881}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Cell line","Cell","Disease process modeling","Cell culture"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":1796,"pubmed_id":23144907,"title":"On the ontology based representation of cell lines.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0048584","authors":"Ganzinger M,He S,Breuhahn K,Knaup P","journal":"PLoS One","doi":"10.1371/journal.pone.0048584","created_at":"2021-09-30T08:25:41.646Z","updated_at":"2021-09-30T08:25:41.646Z"}],"licence_links":[],"grants":[{"id":5262,"fairsharing_record_id":201,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:20.812Z","updated_at":"2021-09-30T09:27:20.812Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5263,"fairsharing_record_id":201,"organisation_id":3062,"relation":"maintains","created_at":"2021-09-30T09:27:20.854Z","updated_at":"2021-09-30T09:27:20.854Z","grant_id":null,"is_lead":false,"saved_state":{"id":3062,"name":"University of Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"147","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:43:36.533Z","metadata":{"doi":"10.25504/FAIRsharing.6tgyxf","name":"FlyBase Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Clare Pilgrim","contact_email":"cp390@cam.ac.uk","contact_orcid":"0000-0002-1373-1705"}],"homepage":"https://github.com/FlyBase/flybase-controlled-vocabulary","citations":[],"identifier":147,"description":"A structured controlled vocabulary developed and used by FlyBase, including the Drosophila phenotype ontology. It is used in annotation and classification of data related to Drosophila, including phenotypes and expression.","abbreviation":"FBcv","support_links":[{"url":"https://github.com/FlyBase/flybase-controlled-vocabulary/issues","type":"Github"},{"url":"https://github.com/FlyBase/flybase-controlled-vocabulary","type":"Github"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FB-CV","name":"FB-CV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fbcv.html","name":"FBcv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002614","bsg-s002614"],"name":"FAIRsharing record for: FlyBase Controlled Vocabulary","abbreviation":"FBcv","url":"https://fairsharing.org/10.25504/FAIRsharing.6tgyxf","doi":"10.25504/FAIRsharing.6tgyxf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary developed and used by FlyBase, including the Drosophila phenotype ontology. It is used in annotation and classification of data related to Drosophila, including phenotypes and expression.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Phenotype"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1958,"pubmed_id":24138933,"title":"The Drosophila phenotype ontology","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-30","authors":"Osumi-Sutherland D., Marygold S. J., Millburn G. H., McQuilton P. A., Ponting. L., Stefancsik R., Falls K., Brown N. H., Gkoutos G. V.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-4-30","created_at":"2021-09-30T08:26:00.340Z","updated_at":"2021-09-30T08:26:00.340Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3671,"relation":"applies_to_content"}],"grants":[{"id":5163,"fairsharing_record_id":147,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:17.408Z","updated_at":"2021-09-30T09:31:23.242Z","grant_id":1146,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BBG0043581","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5161,"fairsharing_record_id":147,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:17.333Z","updated_at":"2021-09-30T09:30:23.538Z","grant_id":691,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"HG000739","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11847,"fairsharing_record_id":147,"organisation_id":4424,"relation":"maintains","created_at":"2024-06-26T13:05:18.121Z","updated_at":"2024-06-27T09:30:23.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":4424,"name":"Department of Physiology, Development and Neuroscience","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"148","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.127Z","metadata":{"doi":"10.25504/FAIRsharing.fe4pja","name":"Gene Prediction File Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format9","identifier":148,"description":"Gene Prediction File Format (genePred) is a table format commonly used for gene prediction tracks in the Genome Browser. Variations of genePred include standard format, extended format and a format which includes RefSeq genes with gene names.","abbreviation":"genePred","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000233","bsg-s000233"],"name":"FAIRsharing record for: Gene Prediction File Format","abbreviation":"genePred","url":"https://fairsharing.org/10.25504/FAIRsharing.fe4pja","doi":"10.25504/FAIRsharing.fe4pja","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Prediction File Format (genePred) is a table format commonly used for gene prediction tracks in the Genome Browser. Variations of genePred include standard format, extended format and a format which includes RefSeq genes with gene names.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Computational biological predictions","Deoxyribonucleic acid","Sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5164,"fairsharing_record_id":148,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:17.450Z","updated_at":"2021-09-30T09:27:17.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"149","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T20:40:15.000Z","updated_at":"2022-07-20T09:26:59.101Z","metadata":{"doi":"10.25504/FAIRsharing.546bcc","name":"Namespaces in XML","status":"ready","contacts":[{"contact_name":"Tim Bray","contact_email":"tbray@textuality.com"}],"homepage":"https://www.w3.org/TR/xml-names/","identifier":149,"description":"XML Namespaces is a W3C standard that allows combining markup elements and attributes from different XML-based markup languages. It provides a simple method for qualifying element and attribute names used in Extensible Markup Language documents by associating them with namespaces identified by URI references.","abbreviation":"XMLNS","support_links":[{"url":"xml-names-editor@w3.org","name":"Working Group Contact","type":"Support email"}],"year_creation":2004},"legacy_ids":["bsg-001285","bsg-s001285"],"name":"FAIRsharing record for: Namespaces in XML","abbreviation":"XMLNS","url":"https://fairsharing.org/10.25504/FAIRsharing.546bcc","doi":"10.25504/FAIRsharing.546bcc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Namespaces is a W3C standard that allows combining markup elements and attributes from different XML-based markup languages. It provides a simple method for qualifying element and attribute names used in Extensible Markup Language documents by associating them with namespaces identified by URI references.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":812,"relation":"undefined"}],"grants":[{"id":5165,"fairsharing_record_id":149,"organisation_id":3211,"relation":"maintains","created_at":"2021-09-30T09:27:17.492Z","updated_at":"2021-09-30T09:27:17.492Z","grant_id":null,"is_lead":true,"saved_state":{"id":3211,"name":"W3C XML Core Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"183","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-27T12:07:01.530Z","metadata":{"doi":"10.25504/FAIRsharing.zr52g5","name":"Crystallographic Information Framework","status":"ready","contacts":[{"contact_name":"John C Bollinger","contact_email":"john.bollinger@stjude.org"}],"homepage":"https://www.iucr.org/resources/cif","citations":[],"identifier":183,"description":"The acronym CIF is used both for the Crystallographic Information File, the data exchange standard file format of Hall, Allen \u0026 Brown (1991) (see Documentation), and for the Crystallographic Information Framework, a broader system of exchange protocols based on data dictionaries and relational rules expressible in different machine-readable manifestations, including, but not restricted to, Crystallographic Information File and XML.","abbreviation":"CIF","support_links":[{"url":"https://www.iucr.org/resources/cif/documentation","name":"CIF General Documentation","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-000222","bsg-s000222"],"name":"FAIRsharing record for: Crystallographic Information Framework","abbreviation":"CIF","url":"https://fairsharing.org/10.25504/FAIRsharing.zr52g5","doi":"10.25504/FAIRsharing.zr52g5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The acronym CIF is used both for the Crystallographic Information File, the data exchange standard file format of Hall, Allen \u0026 Brown (1991) (see Documentation), and for the Crystallographic Information Framework, a broader system of exchange protocols based on data dictionaries and relational rules expressible in different machine-readable manifestations, including, but not restricted to, Crystallographic Information File and XML.","linked_records":[],"linking_records":[{"linking_record_name":"Semantic Assets for Materials Science","linking_record_id":3512,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11309},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11718}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["X-ray crystallography assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":614,"pubmed_id":null,"title":"The crystallographic information file (CIF): a new standard archive file for crystallography","year":1991,"url":"http://doi.org/10.1107/S010876739101067X","authors":"Hall, S. R. and Allen, F. H. and Brown, I. D.","journal":"Acta Crystallographica Section A","doi":"10.1107/S010876739101067X","created_at":"2021-09-30T08:23:27.485Z","updated_at":"2021-09-30T08:23:27.485Z"},{"id":1687,"pubmed_id":null,"title":"Specification of the Crystallographic Information File format, version 2.0","year":2016,"url":"http://doi.org/10.1107/S1600576715021871","authors":"Bernstein HJ, BollingerJC, Brown ID, Gražulis S, Hester JR, McMahon B, Spadaccini N, Westbrookh JD and Westripi SP","journal":"Journal of Applied Crystallography","doi":"10.1107/S1600576715021871","created_at":"2021-09-30T08:25:29.004Z","updated_at":"2021-09-30T08:25:29.004Z"}],"licence_links":[],"grants":[{"id":5234,"fairsharing_record_id":183,"organisation_id":1534,"relation":"maintains","created_at":"2021-09-30T09:27:19.731Z","updated_at":"2024-02-27T11:59:18.180Z","grant_id":null,"is_lead":true,"saved_state":{"id":1534,"name":"International Union of Crystallography (IUCr), Chester, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcThEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--28c4ecfcd35124b5d357c137259db189d48396ce/CIF_v2.5.jpg?disposition=inline","exhaustive_licences":false}},{"id":"184","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:40.000Z","updated_at":"2022-07-20T12:25:47.361Z","metadata":{"doi":"10.25504/FAIRsharing.NHCOKK","name":"FAIR Maturity Indicator Gen2-MI-F1A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F1A.md","identifier":184,"description":"The FAIR Maturity Indicator Gen2-MI-F1A measures whether the GUID matches (regexp) a GUID scheme recognized as being globally unique in the FAIRSharing registry. The uniqueness of an identifier is a necessary condition to unambiguously refer that resource, and that resource alone. Otherwise, an identifier shared by multiple resources will confound efforts to describe that resource, or to use the identifier to retrieve it.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001372","bsg-s001372"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F1A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.NHCOKK","doi":"10.25504/FAIRsharing.NHCOKK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F1A measures whether the GUID matches (regexp) a GUID scheme recognized as being globally unique in the FAIRSharing registry. The uniqueness of an identifier is a necessary condition to unambiguously refer that resource, and that resource alone. Otherwise, an identifier shared by multiple resources will confound efforts to describe that resource, or to use the identifier to retrieve it.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13170},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13212},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13231},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13261},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13276},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20173}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1483,"relation":"undefined"}],"grants":[{"id":5235,"fairsharing_record_id":184,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:19.820Z","updated_at":"2021-09-30T09:27:19.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5238,"fairsharing_record_id":184,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:19.918Z","updated_at":"2021-09-30T09:27:19.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5236,"fairsharing_record_id":184,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:19.857Z","updated_at":"2021-09-30T09:27:19.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5237,"fairsharing_record_id":184,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:19.889Z","updated_at":"2021-09-30T09:27:19.889Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"185","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.818Z","metadata":{"doi":"10.25504/FAIRsharing.qrpwmw","name":"Basic Vertebrate Anatomy","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1056","identifier":185,"description":"There is no information currently available for Basic Vertebrate Anatomy ontology.","abbreviation":null,"deprecation_date":"2019-07-16","deprecation_reason":"No information can be found about this ontology."},"legacy_ids":["bsg-002630","bsg-s002630"],"name":"FAIRsharing record for: Basic Vertebrate Anatomy","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qrpwmw","doi":"10.25504/FAIRsharing.qrpwmw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: There is no information currently available for Basic Vertebrate Anatomy ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"186","type":"fairsharing_records","attributes":{"created_at":"2019-08-28T06:48:06.000Z","updated_at":"2024-01-28T15:58:31.609Z","metadata":{"doi":"10.25504/FAIRsharing.PB6595","name":"Wikidata Identifier","status":"ready","contacts":[],"homepage":"https://www.wikidata.org/wiki/Q43649390","citations":[],"identifier":186,"description":"Wikidata is a document-oriented database, focused on items, which represent any kind of topic, concept, or object. Each item is allocated a unique, persistent identifier (a QID), which is a positive integer prefixed with the upper-case letter Q.","abbreviation":"QID","support_links":[{"url":"https://en.wikipedia.org/wiki/Wikidata#Concept","name":"Additional information about QID","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioregistry.io/registry/wikidata","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/wikidata","name":"identifiers.org","portal":"Other"}],"regular_expression":"^(Q|P)\\d+$"},"legacy_ids":["bsg-001392","bsg-s001392"],"name":"FAIRsharing record for: Wikidata Identifier","abbreviation":"QID","url":"https://fairsharing.org/10.25504/FAIRsharing.PB6595","doi":"10.25504/FAIRsharing.PB6595","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Wikidata is a document-oriented database, focused on items, which represent any kind of topic, concept, or object. Each item is allocated a unique, persistent identifier (a QID), which is a positive integer prefixed with the upper-case letter Q.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5239,"fairsharing_record_id":186,"organisation_id":3233,"relation":"maintains","created_at":"2021-09-30T09:27:19.948Z","updated_at":"2024-01-28T14:48:43.070Z","grant_id":null,"is_lead":true,"saved_state":{"id":3233,"name":"Wikimedia Foundation","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"137","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:19.958Z","metadata":{"doi":"10.25504/FAIRsharing.54814g","name":"MDL reaction Format","status":"deprecated","contacts":[],"homepage":"http://openbabel.org/wiki/Chemical_Kinetics_Formats#RXN_Format","citations":[],"identifier":137,"description":"MDL reaction Format is used to describe the kinetics of chemical reactions and the chemical structure of the reactants and products.","abbreviation":"RXN","deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000260","bsg-s000260"],"name":"FAIRsharing record for: MDL reaction Format","abbreviation":"RXN","url":"https://fairsharing.org/10.25504/FAIRsharing.54814g","doi":"10.25504/FAIRsharing.54814g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MDL reaction Format is used to describe the kinetics of chemical reactions and the chemical structure of the reactants and products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Physical Chemistry"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Pathway model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5142,"fairsharing_record_id":137,"organisation_id":1809,"relation":"maintains","created_at":"2021-09-30T09:27:16.621Z","updated_at":"2021-09-30T09:27:16.621Z","grant_id":null,"is_lead":false,"saved_state":{"id":1809,"name":"MDL Information Systems","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"138","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T09:09:01.743Z","metadata":{"doi":"10.25504/FAIRsharing.k97xzh","name":"Sequence Alignment Map","status":"ready","contacts":[{"contact_name":"Richard Durbin","contact_email":"rd@sanger.ac.uk","contact_orcid":"0000-0002-9130-1006"}],"homepage":"https://github.com/samtools/samtools","identifier":138,"description":"The Sequence Alignment/Map (SAM) format is a TAB-delimited text format consisting of a header section, which is optional, and an alignment section.","abbreviation":"SAM","support_links":[{"url":"https://sourceforge.net/p/samtools/mailman/","type":"Mailing list"}],"year_creation":2008},"legacy_ids":["bsg-000261","bsg-s000261"],"name":"FAIRsharing record for: Sequence Alignment Map","abbreviation":"SAM","url":"https://fairsharing.org/10.25504/FAIRsharing.k97xzh","doi":"10.25504/FAIRsharing.k97xzh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sequence Alignment/Map (SAM) format is a TAB-delimited text format consisting of a header section, which is optional, and an alignment section.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11164},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12003},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16918}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","United Kingdom","United States"],"publications":[{"id":1712,"pubmed_id":19505943,"title":"The Sequence Alignment/Map format and SAMtools.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp352","authors":"Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R; 1000 Genome Project Data Processing Subgroup","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp352","created_at":"2021-09-30T08:25:31.829Z","updated_at":"2021-09-30T08:25:31.829Z"}],"licence_links":[],"grants":[{"id":5144,"fairsharing_record_id":138,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:16.696Z","updated_at":"2021-09-30T09:30:18.478Z","grant_id":648,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U54HG002750","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5143,"fairsharing_record_id":138,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:16.657Z","updated_at":"2021-09-30T09:31:56.735Z","grant_id":1399,"is_lead":false,"saved_state":{"id":2854,"name":"Wellcome","grant":"077192/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5146,"fairsharing_record_id":138,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:16.766Z","updated_at":"2021-09-30T09:27:16.766Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5147,"fairsharing_record_id":138,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:16.808Z","updated_at":"2021-09-30T09:27:16.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12024,"fairsharing_record_id":138,"organisation_id":908,"relation":"maintains","created_at":"2024-07-04T09:05:16.971Z","updated_at":"2024-07-04T09:05:16.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"139","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.721Z","metadata":{"doi":"10.25504/FAIRsharing.dpgp6t","name":"Stockholm Multiple Alignment Format","status":"ready","contacts":[{"contact_name":"Erik Sonnhammers","contact_email":"Erik.Sonnhammer@scilifelab.se"}],"homepage":"http://sonnhammer.sbc.su.se/Stockholm.html","identifier":139,"description":"The \"Stockholm\" format is a system for marking up features in a multiple alignment. These mark-up annotations are preceded by a 'magic' label, of which there are four types. The Stockholm format is used by HMMER, Pfam, and Belvu.","abbreviation":null,"support_links":[{"url":"https://en.wikipedia.org/wiki/Stockholm_format","type":"Wikipedia"},{"url":"http://scikit-bio.org/docs/0.5.0/generated/skbio.io.format.stockholm.html","type":"Help documentation"}]},"legacy_ids":["bsg-000265","bsg-s000265"],"name":"FAIRsharing record for: Stockholm Multiple Alignment Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.dpgp6t","doi":"10.25504/FAIRsharing.dpgp6t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The \"Stockholm\" format is a system for marking up features in a multiple alignment. These mark-up annotations are preceded by a 'magic' label, of which there are four types. The Stockholm format is used by HMMER, Pfam, and Belvu.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12108}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"150","type":"fairsharing_records","attributes":{"created_at":"2018-05-21T13:10:10.000Z","updated_at":"2024-05-02T14:37:47.271Z","metadata":{"doi":"10.25504/FAIRsharing.8f9bbb","name":"JavaScript Object Notation for Linking Data","status":"ready","contacts":[{"contact_name":"JSON for Linking Data W3C Community Group","contact_email":"public-linked-json@w3.org"}],"homepage":"https://json-ld.org/spec/latest/json-ld/","citations":[],"identifier":150,"description":"JSON-LD is a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines. JSON-LD is a concrete RDF syntax. A JSON-LD document is both an RDF document and a JSON document and correspondingly represents an instance of an RDF data model. However, JSON-LD also extends the RDF data model to optionally allow JSON-LD to serialize generalized RDF Datasets.","abbreviation":"JSON-LD","support_links":[{"url":"https://webchat.freenode.net/?channels=#json-ld","name":"JSON-LD IRC","type":"Forum"},{"url":"https://json-ld.org/learn.html","name":"Learn about JSON-LD","type":"Help documentation"},{"url":"https://github.com/json-ld/json-ld.org","name":"GitHub Repository","type":"Github"},{"url":"https://json-ld.org/","name":"JSON-LD General Information","type":"Help documentation"},{"url":"https://en.m.wikipedia.org/wiki/JSON-LD","name":"JSON-LD Wiki","type":"Wikipedia"}],"year_creation":2010,"associated_tools":[{"url":"https://json-ld.org/playground/","name":"JSON-LD Playground"}],"cross_references":[{"url":"http://edamontology.org/format_3749","name":"EDAM","portal":"BioPortal"}]},"legacy_ids":["bsg-001214","bsg-s001214"],"name":"FAIRsharing record for: JavaScript Object Notation for Linking Data","abbreviation":"JSON-LD","url":"https://fairsharing.org/10.25504/FAIRsharing.8f9bbb","doi":"10.25504/FAIRsharing.8f9bbb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JSON-LD is a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines. JSON-LD is a concrete RDF syntax. A JSON-LD document is both an RDF document and a JSON document and correspondingly represents an instance of an RDF data model. However, JSON-LD also extends the RDF data model to optionally allow JSON-LD to serialize generalized RDF Datasets.","linked_records":[],"linking_records":[{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13282}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Computer Science","Omics"],"domains":["Resource metadata","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Software and Document Notice and License","licence_id":851,"licence_url":"http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document","link_id":1075,"relation":"undefined"}],"grants":[{"id":5166,"fairsharing_record_id":150,"organisation_id":1613,"relation":"maintains","created_at":"2021-09-30T09:27:17.529Z","updated_at":"2024-03-28T13:33:33.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":1613,"name":"JSON for Linking Data W3C Community Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"151","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.383Z","metadata":{"doi":"10.25504/FAIRsharing.6ttpnv","name":"Maize gross anatomy","status":"uncertain","contacts":[{"contact_name":"Leszek Vincent","contact_email":"Leszek@missouri.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1050","identifier":151,"description":"A structured controlled vocabulary for the anatomy of Zea mays.","abbreviation":"ZEA","support_links":[{"url":"https://wiki.nci.nih.gov/display/VKC/Maize+Gross+Anatomy+Vocabulary+FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wiki.nci.nih.gov/display/VKC/Maize+Gross+Anatomy+Vocabulary+Discussion","type":"Forum"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZEA","name":"ZEA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/zea.html","name":"zea","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002587","bsg-s002587"],"name":"FAIRsharing record for: Maize gross anatomy","abbreviation":"ZEA","url":"https://fairsharing.org/10.25504/FAIRsharing.6ttpnv","doi":"10.25504/FAIRsharing.6ttpnv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the anatomy of Zea mays.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Zea mays"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"360","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T13:43:06.000Z","updated_at":"2023-09-29T11:54:56.617Z","metadata":{"name":"ISO 19115:2003 Geographic information -- Metadata","status":"deprecated","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/26020.html","identifier":360,"description":"ISO 19115:2003 defines the schema required for describing geographic information and services. It provides information about the identification, the extent, the quality, the spatial and temporal schema, spatial reference, and distribution of digital geographic data.","abbreviation":"ISO 19115:2003","year_creation":2003,"deprecation_date":"2014-04-01","deprecation_reason":"This standard has been revised and is superceded by ISO 19115-1:2014. However, many other resources still reference this particular version."},"legacy_ids":["bsg-001315","bsg-s001315"],"name":"FAIRsharing record for: ISO 19115:2003 Geographic information -- Metadata","abbreviation":"ISO 19115:2003","url":"https://fairsharing.org/fairsharing_records/360","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115:2003 defines the schema required for describing geographic information and services. It provides information about the identification, the extent, the quality, the spatial and temporal schema, spatial reference, and distribution of digital geographic data.","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13329},{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13361}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":941,"relation":"undefined"}],"grants":[{"id":10912,"fairsharing_record_id":360,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:05:36.209Z","updated_at":"2023-09-27T14:05:36.209Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":5529,"fairsharing_record_id":360,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:30.465Z","updated_at":"2021-09-30T09:27:30.465Z","grant_id":null,"is_lead":true,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"361","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T12:16:25.921Z","metadata":{"doi":"10.25504/FAIRsharing.w4tncg","name":"Name Reaction Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"batchelorc@rsc.org"}],"homepage":"https://github.com/rsc-ontologies/rxno/","citations":[],"identifier":361,"description":"The Name Reaction Ontology (RXNO) connects organic name reactions such as the Diels-Alder cyclization and the Cannizzaro reaction to their roles in organic synthesis.","abbreviation":"RXNO","support_links":[{"url":"https://github.com/rsc-ontologies/rxno/issues","name":"Issue Tracker","type":"Contact form"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RXNO","name":"BioPortal: RXNO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/rxno","name":"OLS: rxno","portal":"OLS"},{"url":"https://obofoundry.org/ontology/rxno.html","name":"rxno","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001017","bsg-s001017"],"name":"FAIRsharing record for: Name Reaction Ontology","abbreviation":"RXNO","url":"https://fairsharing.org/10.25504/FAIRsharing.w4tncg","doi":"10.25504/FAIRsharing.w4tncg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Name Reaction Ontology (RXNO) connects organic name reactions such as the Diels-Alder cyclization and the Cannizzaro reaction to their roles in organic synthesis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Chemistry"],"domains":["Reaction data"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2536,"relation":"applies_to_content"}],"grants":[{"id":8645,"fairsharing_record_id":361,"organisation_id":2467,"relation":"maintains","created_at":"2021-12-13T21:00:19.633Z","updated_at":"2021-12-13T21:00:19.633Z","grant_id":null,"is_lead":true,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"362","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-01-18T09:30:10.532Z","metadata":{"doi":"10.25504/FAIRsharing.3kfn3j","name":"Allen Brain Atlas Adult Mouse Brain Ontology","status":"deprecated","contacts":[],"homepage":"http://www.brain-map.org","citations":[],"identifier":362,"description":"The Adult Mouse Brain ontology is used within the Allen Brain Map Project to describe and annotate data from the project.","abbreviation":"ABA-AMB","support_links":[{"url":"https://secure2.convio.net/allins/site/SPageServer/?pagename=send_message_ai","name":"General Contact Form","type":"Contact form"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ABA-AMB","name":"ABA-AMB","portal":"BioPortal"}],"deprecation_date":"2022-01-17","deprecation_reason":"This resource is an integral (rather than independent) part of the larger Allen Brain Map Project, and therefore has been deprecated. Please refer to the Allen Brain Map Data Catalog record for more information."},"legacy_ids":["bsg-001018","bsg-s001018"],"name":"FAIRsharing record for: Allen Brain Atlas Adult Mouse Brain Ontology","abbreviation":"ABA-AMB","url":"https://fairsharing.org/10.25504/FAIRsharing.3kfn3j","doi":"10.25504/FAIRsharing.3kfn3j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adult Mouse Brain ontology is used within the Allen Brain Map Project to describe and annotate data from the project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Allen Brain Map Terms of Use","licence_id":895,"licence_url":"https://alleninstitute.org/legal/terms-use/","link_id":2541,"relation":"applies_to_content"},{"licence_name":"Allen Brain Map Citation Policy","licence_id":896,"licence_url":"https://alleninstitute.org/legal/citation-policy/","link_id":2542,"relation":"applies_to_content"}],"grants":[{"id":8648,"fairsharing_record_id":362,"organisation_id":60,"relation":"maintains","created_at":"2021-12-15T10:13:48.063Z","updated_at":"2021-12-15T10:13:48.063Z","grant_id":null,"is_lead":true,"saved_state":{"id":60,"name":"Allen Institute for Brain Science, Seattle, WA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"363","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:14:34.325Z","metadata":{"doi":"10.25504/FAIRsharing.zmx7nn","name":"Ontology of Genes and Genomes","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://bitbucket.org/hegroup/ogg","identifier":363,"description":"OGG is a biological ontology in the area of genes and genomes. OGG uses the Basic Formal Ontology (BFO) as its upper level ontology. This OGG document contains the genes and genomes of a list of selected organisms. Each gene in OGG has over 10 annotation items, includes gene-associated Gene Ontology (GO) and PubMed article information. OGG has represented genes in human, two viruses, and four bacteria. Additionally, 7 OGG subsets are developed to represent genes and genomes of 7 model systems including mouse, fruit fly, zebrafish, yeast, A. thaliana, C. elegans, and P. falciparum.","abbreviation":"OGG","support_links":[{"url":"https://bitbucket.org/hegroup/ogg/issues/","name":"Issue Tracker","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGG","name":"OGG","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogg.html","name":"ogg","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000919","bsg-s000919"],"name":"FAIRsharing record for: Ontology of Genes and Genomes","abbreviation":"OGG","url":"https://fairsharing.org/10.25504/FAIRsharing.zmx7nn","doi":"10.25504/FAIRsharing.zmx7nn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OGG is a biological ontology in the area of genes and genomes. OGG uses the Basic Formal Ontology (BFO) as its upper level ontology. This OGG document contains the genes and genomes of a list of selected organisms. Each gene in OGG has over 10 annotation items, includes gene-associated Gene Ontology (GO) and PubMed article information. OGG has represented genes in human, two viruses, and four bacteria. Additionally, 7 OGG subsets are developed to represent genes and genomes of 7 model systems including mouse, fruit fly, zebrafish, yeast, A. thaliana, C. elegans, and P. falciparum.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biology"],"domains":["Gene name","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":747,"pubmed_id":null,"title":"OGG: a biological ontology for representing genes and genomes in specific organisms","year":2014,"url":"https://www.semanticscholar.org/paper/OGG%3A-a-Biological-Ontology-for-Representing-Genes-He-Liu/6bc6c5c0df6e64c0941a5d4d064724ffae359d14","authors":"He Y, Liu Y, Zhao B.","journal":"Proceedings of the 5th International Conference on Biomedical Ontologies (ICBO), Houston, Texas, USA. Pages 13-20","doi":null,"created_at":"2021-09-30T08:23:42.261Z","updated_at":"2021-09-30T11:28:30.740Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":128,"relation":"undefined"}],"grants":[{"id":5531,"fairsharing_record_id":363,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:30.548Z","updated_at":"2021-09-30T09:30:30.662Z","grant_id":741,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5530,"fairsharing_record_id":363,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:30.505Z","updated_at":"2021-09-30T09:27:30.505Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"364","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T19:52:37.000Z","updated_at":"2022-07-20T12:38:07.799Z","metadata":{"doi":"10.25504/FAIRsharing.39dca5","name":"Guidelines for Multilingual Thesauri","status":"ready","contacts":[],"homepage":"https://www.ifla.org/publications/ifla-professional-reports-115","citations":[],"identifier":364,"description":"The Guidelines for Multilingual Thesauri was established in 2009 and is maintained by the Subject Analysis and Access Section within the IFLA. The purpose of these document guidelines is to describe the structure and the principle of building multilingual thesauri.","abbreviation":null,"support_links":[{"url":"https://www.ifla.org/contact-us/","name":"Contact us","type":"Contact form"}],"year_creation":2009},"legacy_ids":["bsg-001254","bsg-s001254"],"name":"FAIRsharing record for: Guidelines for Multilingual Thesauri","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.39dca5","doi":"10.25504/FAIRsharing.39dca5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Guidelines for Multilingual Thesauri was established in 2009 and is maintained by the Subject Analysis and Access Section within the IFLA. The purpose of these document guidelines is to describe the structure and the principle of building multilingual thesauri.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Subject Agnostic","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5533,"fairsharing_record_id":364,"organisation_id":1489,"relation":"maintains","created_at":"2021-09-30T09:27:30.623Z","updated_at":"2021-09-30T09:27:30.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":1489,"name":"International Federation of Library Associations and Institutions (IFLA), The Hague, The Netherlands","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5532,"fairsharing_record_id":364,"organisation_id":2664,"relation":"maintains","created_at":"2021-09-30T09:27:30.585Z","updated_at":"2021-09-30T09:27:30.585Z","grant_id":null,"is_lead":true,"saved_state":{"id":2664,"name":"Subject Analysis and Access Group, International Federation of Library Associations and Institutions (IFLA), The Hague, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"365","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T18:36:06.000Z","updated_at":"2023-05-05T09:05:43.130Z","metadata":{"doi":"10.25504/FAIRsharing.76c06d","name":"Darwin Core Geospatial Extension","status":"deprecated","contacts":[{"contact_name":" Markus Döring","contact_email":"m.doering@mac.com","contact_orcid":"0000-0001-7757-1889"}],"homepage":"https://github.com/tdwg/wiki-archive/blob/master/twiki/data/DarwinCore/GeospatialExtension.txt","citations":[],"identifier":365,"description":"The Geospatial extension of the Darwin core.","abbreviation":null,"deprecation_date":"2023-05-03","deprecation_reason":"While this resource is still accessible, the specification page also notes that the wiki it is a part of is deprecated, and that the listed homepage is for historical purposes only. We cannot find a more recent specification document on the Darwin Core website or anywhere else, and therefore consider this resource deprecated. Please get in touch with us if you have any information on the current status of this resource."},"legacy_ids":["bsg-001316","bsg-s001316"],"name":"FAIRsharing record for: Darwin Core Geospatial Extension","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.76c06d","doi":"10.25504/FAIRsharing.76c06d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geospatial extension of the Darwin core.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Taxonomic classification","Biological sample annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"366","type":"fairsharing_records","attributes":{"created_at":"2021-01-10T16:52:07.000Z","updated_at":"2022-03-17T11:09:36.421Z","metadata":{"name":"Collection Descriptions","status":"in_development","contacts":[{"contact_name":"Deborah Paul","contact_email":"dpaul@fsu.edu"}],"homepage":"https://github.com/tdwg/cd","identifier":366,"description":"This Collection Descriptions (CD) is a metadata standard being developed by the Collection Descriptions Interest Group, which evolved from the work of the Natural Collection Descriptions (NCD) group. CD is a developing standard for describing entire collections of natural history materials. Examples include collections of specimens, observation data, visual resources, photographs, and materials from historical voyages. Collection metadata, access and usage of the collection, and where to get more detailed information is part of this standard. CD aims to describe the characteristics of groups of objects that are already represented individually under other current and emerging TDWG standards such as Darwin Core (specimens, observations) or Audubon Core (images, field notebooks). This limitation is imposed so that the scope of CD can be narrowly defined to the areas in which the TDWG organization has already built up the existing body of knowledge for what constitutes useful descriptive elements.","abbreviation":null,"support_links":[{"url":"https://github.com/tdwg/cd/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-001573","bsg-s001573"],"name":"FAIRsharing record for: Collection Descriptions","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/366","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This Collection Descriptions (CD) is a metadata standard being developed by the Collection Descriptions Interest Group, which evolved from the work of the Natural Collection Descriptions (NCD) group. CD is a developing standard for describing entire collections of natural history materials. Examples include collections of specimens, observation data, visual resources, photographs, and materials from historical voyages. Collection metadata, access and usage of the collection, and where to get more detailed information is part of this standard. CD aims to describe the characteristics of groups of objects that are already represented individually under other current and emerging TDWG standards such as Darwin Core (specimens, observations) or Audubon Core (images, field notebooks). This limitation is imposed so that the scope of CD can be narrowly defined to the areas in which the TDWG organization has already built up the existing body of knowledge for what constitutes useful descriptive elements.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12285}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Earth Science","Life Science","Natural History"],"domains":["Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":841,"relation":"undefined"}],"grants":[{"id":5534,"fairsharing_record_id":366,"organisation_id":553,"relation":"maintains","created_at":"2021-09-30T09:27:30.665Z","updated_at":"2021-09-30T09:27:30.665Z","grant_id":null,"is_lead":true,"saved_state":{"id":553,"name":"Collection Descriptions (CD) Interest Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"367","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2021-11-24T13:20:13.968Z","metadata":{"doi":"10.25504/FAIRsharing.hw3bh2","name":"OWL-Time","status":"ready","contacts":[{"contact_name":"Simon Cox, Chris Little","contact_email":"simon.cox@csiro.au","contact_orcid":"0000-0002-3884-3420"}],"homepage":"https://www.w3.org/TR/owl-time/","identifier":367,"description":"OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars.","abbreviation":"TIME","support_links":[{"url":"https://www.w3.org/2017/sdwig/","name":"Spatial Data on the Web Interest Group","type":"Forum"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TIME","name":"TIME","portal":"BioPortal"}]},"legacy_ids":["bsg-000818","bsg-s000818"],"name":"FAIRsharing record for: OWL-Time","abbreviation":"TIME","url":"https://fairsharing.org/10.25504/FAIRsharing.hw3bh2","doi":"10.25504/FAIRsharing.hw3bh2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Resource metadata","Data model"],"taxonomies":["All"],"user_defined_tags":["Data coordination","Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":68,"relation":"undefined"}],"grants":[{"id":5535,"fairsharing_record_id":367,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:30.707Z","updated_at":"2021-09-30T09:27:30.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"369","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T15:00:47.000Z","updated_at":"2022-08-01T15:31:54.114Z","metadata":{"doi":"10.25504/FAIRsharing.A29ckB","name":"Biodiversity Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://skosmos.loterre.fr/BLH/en/","citations":[],"identifier":369,"description":"This bilingual thesaurus organizes the key concepts of biodiversity sciences, in their basic and applied ecological components. It uses polyhierarchy and includes 818 reciprocal associative relationships. The 1654 French and English descriptors (designating 827 concepts) are enriched with a large number of synonyms (1860) and hidden variants (7020) in both languages. Concepts are grouped into 82 collections, by semantic categories, thematic fields and EBV classes (Essential Biodiversity Variables). Definitions are given with their sources. This resource is aligned with the international thesauri AGROVOC, GEMET (GEneral Multilingual Environmental Thesaurus) and EnvThes (Environmental Thesaurus), as well as with the ontology ENVO (Environment Ontology).","abbreviation":"Biodiversity","year_creation":2015},"legacy_ids":["bsg-001420","bsg-s001420"],"name":"FAIRsharing record for: Biodiversity Thesaurus","abbreviation":"Biodiversity","url":"https://fairsharing.org/10.25504/FAIRsharing.A29ckB","doi":"10.25504/FAIRsharing.A29ckB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This bilingual thesaurus organizes the key concepts of biodiversity sciences, in their basic and applied ecological components. It uses polyhierarchy and includes 818 reciprocal associative relationships. The 1654 French and English descriptors (designating 827 concepts) are enriched with a large number of synonyms (1860) and hidden variants (7020) in both languages. Concepts are grouped into 82 collections, by semantic categories, thematic fields and EBV classes (Essential Biodiversity Variables). Definitions are given with their sources. This resource is aligned with the international thesauri AGROVOC, GEMET (GEneral Multilingual Environmental Thesaurus) and EnvThes (Environmental Thesaurus), as well as with the ontology ENVO (Environment Ontology).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11306}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agroecology","Environmental Science","Ecology","Biodiversity","Ecosystem Science"],"domains":["Climate","Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1422,"pubmed_id":null,"title":"Semantics of Biodiversity: from Thesaurus to Linked Open Data (LOD)","year":2020,"url":"https://hal.archives-ouvertes.fr/hal-02907484","authors":"Dominique Vachez, Isabelle Gomez, Eric Garnier","journal":"*","doi":null,"created_at":"2021-09-30T08:24:58.943Z","updated_at":"2021-09-30T08:24:58.943Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":175,"relation":"undefined"}],"grants":[{"id":5536,"fairsharing_record_id":369,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:30.748Z","updated_at":"2021-09-30T09:27:30.748Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5537,"fairsharing_record_id":369,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:30.786Z","updated_at":"2021-09-30T09:27:30.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"351","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T19:11:15.000Z","updated_at":"2022-07-20T10:26:52.333Z","metadata":{"doi":"10.25504/FAIRsharing.921056","name":"Metadata Encoding and Transmission Standard","status":"ready","contacts":[],"homepage":"http://www.loc.gov/standards/mets/","citations":[],"identifier":351,"description":"The METS schema is a standard for encoding descriptive, administrative, and structural metadata regarding objects within a digital library, expressed using the XML schema language of the World Wide Web Consortium. The standard is maintained in the Network Development and MARC Standards Office of the Library of Congress, and is being developed as an initiative of the Digital Library Federation.","abbreviation":"METS","support_links":[{"url":"http://www.loc.gov/standards/mets/news120110.html","name":"Blog","type":"Blog/News"},{"url":"http://www.loc.gov/standards/mets/mets-schemadocs.html","name":"documentation","type":"Help documentation"},{"url":"https://twitter.com/mets_lib","name":"Twitter","type":"Twitter"},{"url":"https://github.com/mets/METS-board/wiki","name":"Wiki Pages","type":"Help documentation"},{"url":"https://github.com/mets","name":"GitHub Project","type":"Github"}],"year_creation":2001,"associated_tools":[{"url":"https://www.loc.gov/standards/mets/mets-tools.html","name":"Tools and Utilities"}]},"legacy_ids":["bsg-001252","bsg-s001252"],"name":"FAIRsharing record for: Metadata Encoding and Transmission Standard","abbreviation":"METS","url":"https://fairsharing.org/10.25504/FAIRsharing.921056","doi":"10.25504/FAIRsharing.921056","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The METS schema is a standard for encoding descriptive, administrative, and structural metadata regarding objects within a digital library, expressed using the XML schema language of the World Wide Web Consortium. The standard is maintained in the Network Development and MARC Standards Office of the Library of Congress, and is being developed as an initiative of the Digital Library Federation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States","Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":286,"relation":"undefined"}],"grants":[{"id":5511,"fairsharing_record_id":351,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:27:29.915Z","updated_at":"2022-06-30T11:17:51.036Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaTBCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--05af8f2b4e546303019db3dd48db0c8a5dc3ce6e/mets.png?disposition=inline","exhaustive_licences":false}},{"id":"353","type":"fairsharing_records","attributes":{"created_at":"2020-06-25T15:19:05.000Z","updated_at":"2022-07-20T12:46:37.845Z","metadata":{"doi":"10.25504/FAIRsharing.ple9HR","name":"Cochrane Core Vocabulary Ontology","status":"ready","contacts":[{"contact_name":"Chris Mavergames","contact_email":"cmavergames@cochrane.org"}],"homepage":"https://data.cochrane.org/ontologies/core/index-en.html","identifier":353,"description":"The Cochrane Core Vocabulary ontology describes the entities and concepts that exist in the domain of evidence-based healthcare. It is used for the construction of the Cochrane Linked Data Vocabulary containing some 400k terms including Interventions (Drugs, Procedures etc), Populations (Age, Sex, Condition), and Clinical outcomes. *Please note our web pages are currently under review*","abbreviation":null,"support_links":[{"url":"https://data.cochrane.org/ontologies/","name":"About the Cochrane Ontologies","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001500","bsg-s001500"],"name":"FAIRsharing record for: Cochrane Core Vocabulary Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ple9HR","doi":"10.25504/FAIRsharing.ple9HR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cochrane Core Vocabulary ontology describes the entities and concepts that exist in the domain of evidence-based healthcare. It is used for the construction of the Cochrane Linked Data Vocabulary containing some 400k terms including Interventions (Drugs, Procedures etc), Populations (Age, Sex, Condition), and Clinical outcomes. *Please note our web pages are currently under review*","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Clinical Studies","Health Science","Medical Informatics"],"domains":["Intervention design"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1423,"relation":"undefined"}],"grants":[{"id":5512,"fairsharing_record_id":353,"organisation_id":544,"relation":"maintains","created_at":"2021-09-30T09:27:29.940Z","updated_at":"2021-09-30T09:27:29.940Z","grant_id":null,"is_lead":true,"saved_state":{"id":544,"name":"Cochrane, London, United Kingdom","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"354","type":"fairsharing_records","attributes":{"created_at":"2019-02-07T12:37:03.000Z","updated_at":"2023-11-24T14:08:58.804Z","metadata":{"doi":"10.25504/FAIRsharing.rvvbCB","name":"Meta-omics Data and Collection Objects","status":"ready","contacts":[{"contact_name":"Dagmar Triebel","contact_email":"triebel@snsb.de"}],"homepage":"https://www.mod-co.net/wiki/Schema_Representations","citations":[{"doi":"10.1093/database/baz002","pubmed_id":30715273,"publication_id":2254}],"identifier":354,"description":"The MOD-CO schema is a conceptual and procedural meta-omics schema developed as part of the MOD-CO project. The schema is represented in a number of different formats. MOD-CO is a generic and comprehensive schema providing specifications useful for later software implementation and facilitating international standardisation processes. Certain implementations and use cases are provided. MOD-CO has a hierarchical organization of concepts describing collection samples, as well as products and data objects being generated during operational workflows. It is focused on object trait descriptions as well as on operational aspects and thereby may serve as a backbone for R\u0026D laboratory information management systems with functions of an electronic laboratory notebook.","abbreviation":"MOD-CO","support_links":[{"url":"https://www.mod-co.net/wiki/Implementations","name":"Implementations and Use Cases","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"https://diversityworkbench.net/Portal/DiversityDescriptions","name":"DiversityDescriptions 3"}]},"legacy_ids":["bsg-001358","bsg-s001358"],"name":"FAIRsharing record for: Meta-omics Data and Collection Objects","abbreviation":"MOD-CO","url":"https://fairsharing.org/10.25504/FAIRsharing.rvvbCB","doi":"10.25504/FAIRsharing.rvvbCB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MOD-CO schema is a conceptual and procedural meta-omics schema developed as part of the MOD-CO project. The schema is represented in a number of different formats. MOD-CO is a generic and comprehensive schema providing specifications useful for later software implementation and facilitating international standardisation processes. Certain implementations and use cases are provided. MOD-CO has a hierarchical organization of concepts describing collection samples, as well as products and data objects being generated during operational workflows. It is focused on object trait descriptions as well as on operational aspects and thereby may serve as a backbone for R\u0026D laboratory information management systems with functions of an electronic laboratory notebook.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12539}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Metagenomics","Proteomics","Molecular Microbiology","Metabolomics","Transcriptomics"],"domains":["Resource metadata","Experimental measurement","Marine metagenome","Protocol","Metagenome"],"taxonomies":["All"],"user_defined_tags":["Metatranscriptome"],"countries":["Germany"],"publications":[{"id":2254,"pubmed_id":30715273,"title":"Meta-omics data and collection objects (MOD-CO): a conceptual schema and data model for processing sample data in meta-omics research","year":2019,"url":"http://doi.org/10.1093/database/baz002","authors":"Gerhard Rambold, Pelin Yilmaz, Janno Harjes, Sabrina Klaster, Veronica Sanz, Anton Link, Frank Oliver Glöckner, Dagmar Triebel","journal":"Database: The Journal of Biological Databases \u0026 Curation","doi":"10.1093/database/baz002","created_at":"2021-09-30T08:26:34.106Z","updated_at":"2021-09-30T08:26:34.106Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2359,"relation":"undefined"}],"grants":[{"id":5516,"fairsharing_record_id":354,"organisation_id":1580,"relation":"maintains","created_at":"2021-09-30T09:27:30.040Z","updated_at":"2021-09-30T09:27:30.040Z","grant_id":null,"is_lead":false,"saved_state":{"id":1580,"name":"Jacobs University gGmbH, Bremen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5515,"fairsharing_record_id":354,"organisation_id":174,"relation":"maintains","created_at":"2021-09-30T09:27:30.016Z","updated_at":"2021-09-30T09:27:30.016Z","grant_id":null,"is_lead":false,"saved_state":{"id":174,"name":"Bavarian Natural History Collections, SNSB IT Center, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5517,"fairsharing_record_id":354,"organisation_id":3020,"relation":"maintains","created_at":"2021-09-30T09:27:30.066Z","updated_at":"2021-09-30T09:27:30.066Z","grant_id":null,"is_lead":true,"saved_state":{"id":3020,"name":"University of Bayreuth, Department of Mycology, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5518,"fairsharing_record_id":354,"organisation_id":1787,"relation":"maintains","created_at":"2021-09-30T09:27:30.091Z","updated_at":"2021-09-30T09:27:30.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":1787,"name":"Max Planck Institute for Marine Microbiology (MPIMM), Bremen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5513,"fairsharing_record_id":354,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:29.967Z","updated_at":"2021-09-30T09:28:58.827Z","grant_id":40,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"GL 553/6-1 - RA 731/16-1 - TR 290/8-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8009,"fairsharing_record_id":354,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:30:22.127Z","updated_at":"2021-09-30T09:30:22.177Z","grant_id":679,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"GL 553/5-2 - TR 290/7-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9361,"fairsharing_record_id":354,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.053Z","updated_at":"2022-04-11T12:07:33.072Z","grant_id":832,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"GBOL 01LI1501M","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"356","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:00.966Z","metadata":{"doi":"10.25504/FAIRsharing.p1sejz","name":"Taxonomic Rank Vocabulary","status":"ready","contacts":[{"contact_name":"Peter E. Midford","contact_email":"peteremidford@yahoo.com","contact_orcid":"0000-0001-6512-3296"}],"homepage":"https://wiki.phenoscape.org/wiki/Ontologies#Taxonomic_Rank_Vocabulary_.28TAXRANK.29","identifier":356,"description":"This is a vocabulary of taxonomic ranks intended to replace the sets of rank terms found in the Teleost Taxonomy Ontology, the OBO translation of the NCBI taxonomy and similar OBO taxonomy ontologies. It provides terms for taxonomic ranks drawn from both the NCBI taxonomy database and from a rank vocabulary developed for the TDWG biodiversity information standards group. Each term contains cross reference links to the resources that use the terms. Consistent with its intended use as a vocabulary, there is no relation specifying an ordering of the rank terms. Likewise, all terms are directly descended from the term 'taxonomic rank' (TAXRANK:0000000).","abbreviation":"TAXRANK","support_links":[{"url":"https://github.com/phenoscape/taxrank","name":"GitHub","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TAXRANK","name":"TAXRANK","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/taxrank.html","name":"taxrank","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002646","bsg-s002646"],"name":"FAIRsharing record for: Taxonomic Rank Vocabulary","abbreviation":"TAXRANK","url":"https://fairsharing.org/10.25504/FAIRsharing.p1sejz","doi":"10.25504/FAIRsharing.p1sejz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a vocabulary of taxonomic ranks intended to replace the sets of rank terms found in the Teleost Taxonomy Ontology, the OBO translation of the NCBI taxonomy and similar OBO taxonomy ontologies. It provides terms for taxonomic ranks drawn from both the NCBI taxonomy database and from a rank vocabulary developed for the TDWG biodiversity information standards group. Each term contains cross reference links to the resources that use the terms. Consistent with its intended use as a vocabulary, there is no relation specifying an ordering of the rank terms. Likewise, all terms are directly descended from the term 'taxonomic rank' (TAXRANK:0000000).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":133,"relation":"undefined"}],"grants":[{"id":5523,"fairsharing_record_id":356,"organisation_id":2318,"relation":"maintains","created_at":"2021-09-30T09:27:30.222Z","updated_at":"2021-09-30T09:27:30.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":2318,"name":"Phenoscape","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8321,"fairsharing_record_id":356,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:04.459Z","updated_at":"2021-09-30T09:32:04.525Z","grant_id":1456,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EF-0905606","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5524,"fairsharing_record_id":356,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:30.264Z","updated_at":"2021-09-30T09:30:00.002Z","grant_id":506,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062542","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8070,"fairsharing_record_id":356,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:45.499Z","updated_at":"2021-09-30T09:30:45.556Z","grant_id":855,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062404","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"375","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:34.494Z","metadata":{"doi":"10.25504/FAIRsharing.wgvr02","name":"Minimal Information for QTLs and Association Studies Tabular","status":"ready","contacts":[{"contact_name":"Jan Aerts","contact_email":"jan.aerts@bbsrc.ac.uk","contact_orcid":"0000-0002-6416-2717"}],"homepage":"http://miqas.sourceforge.net/specification/MIQAS_TAB/MIQAS_TAB_specification.html","identifier":375,"description":"The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file. This is the same approach as used for the exchange of sequences between NCBI, Ensembl and DDBJ at the early stages of the Human Genome Project.","abbreviation":"MIQAS-TAB","support_links":[{"url":"jreecy@iastate.edu","name":"Jim Reecy","type":"Support email"}],"year_creation":2008},"legacy_ids":["bsg-000083","bsg-s000083"],"name":"FAIRsharing record for: Minimal Information for QTLs and Association Studies Tabular","abbreviation":"MIQAS-TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.wgvr02","doi":"10.25504/FAIRsharing.wgvr02","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file. This is the same approach as used for the exchange of sequences between NCBI, Ensembl and DDBJ at the early stages of the Human Genome Project.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11922}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Real time polymerase chain reaction","Phenotype","Genome-wide association study","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5547,"fairsharing_record_id":375,"organisation_id":1849,"relation":"maintains","created_at":"2021-09-30T09:27:31.249Z","updated_at":"2021-09-30T09:27:31.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":1849,"name":"Minimum Information for QTLs and Association Studies (MIQAS) Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5548,"fairsharing_record_id":375,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:31.290Z","updated_at":"2021-09-30T09:27:31.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"376","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-03-17T08:27:05.300Z","metadata":{"doi":"10.25504/FAIRsharing.htq39f","name":"COMODI","status":"ready","contacts":[{"contact_name":"martin scharm","contact_email":"comodi-on-bioportal@binfalse.de"}],"homepage":"http://comodi.sems.uni-rostock.de","citations":[{"doi":"10.1186/s13326-016-0080-2","pubmed_id":27401413,"publication_id":3800}],"identifier":376,"description":"An ontology to characterise differences in versions of computational models in biology","abbreviation":"COMODI","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COMODI","name":"COMODI","portal":"BioPortal"}]},"legacy_ids":["bsg-001026","bsg-s001026"],"name":"FAIRsharing record for: COMODI","abbreviation":"COMODI","url":"https://fairsharing.org/10.25504/FAIRsharing.htq39f","doi":"10.25504/FAIRsharing.htq39f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology to characterise differences in versions of computational models in biology","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12234},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16926}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3800,"pubmed_id":27401413,"title":"COMODI: an ontology to characterise differences in versions of computational models in biology.","year":2016,"url":"https://doi.org/10.1186/s13326-016-0080-2","authors":"Scharm M, Waltemath D, Mendes P, Wolkenhauer O","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-016-0080-2","created_at":"2023-03-17T08:25:31.252Z","updated_at":"2023-03-17T08:25:31.252Z"}],"licence_links":[],"grants":[{"id":10422,"fairsharing_record_id":376,"organisation_id":3320,"relation":"undefined","created_at":"2023-03-17T08:26:57.569Z","updated_at":"2023-03-17T08:26:57.569Z","grant_id":null,"is_lead":false,"saved_state":{"id":3320,"name":"The University of Rostock","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"377","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:46:01.902Z","metadata":{"doi":"10.25504/FAIRsharing.h1v36j","name":"Using Phenotype Ontologies in GVF","status":"deprecated","contacts":[{"contact_name":"Karen Eilbeck","contact_email":"keilbeck@genetics.utah.edu","contact_orcid":"0000-0002-0831-6427"}],"homepage":"http://www.sequenceontology.org/so_wiki/index.php/Using_Phenotype_Ontologies_in_GVF","citations":[],"identifier":377,"description":"This guideline describes a set of best practices when using phenotype ontologies to annotate genomic variant files using Genome Variation Format (GVF) and the Sequence Ontology.","abbreviation":"GVF Guidelines","year_creation":2009,"deprecation_date":"2022-03-02","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000536","bsg-s000536"],"name":"FAIRsharing record for: Using Phenotype Ontologies in GVF","abbreviation":"GVF Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.h1v36j","doi":"10.25504/FAIRsharing.h1v36j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This guideline describes a set of best practices when using phenotype ontologies to annotate genomic variant files using Genome Variation Format (GVF) and the Sequence Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Genetic polymorphism","Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1185,"pubmed_id":20064205,"title":"Integrating phenotype ontologies across multiple species.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-1-r2","authors":"Mungall CJ,Gkoutos GV,Smith CL,Haendel MA,Lewis SE,Ashburner M","journal":"Genome Biol","doi":"10.1186/gb-2010-11-1-r2","created_at":"2021-09-30T08:24:31.725Z","updated_at":"2021-09-30T08:24:31.725Z"}],"licence_links":[],"grants":[{"id":5550,"fairsharing_record_id":377,"organisation_id":2548,"relation":"maintains","created_at":"2021-09-30T09:27:31.370Z","updated_at":"2021-09-30T09:27:31.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2548,"name":"Sequence Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5552,"fairsharing_record_id":377,"organisation_id":2804,"relation":"funds","created_at":"2021-09-30T09:27:31.449Z","updated_at":"2021-09-30T09:27:31.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5554,"fairsharing_record_id":377,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:31.531Z","updated_at":"2021-09-30T09:27:31.531Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5551,"fairsharing_record_id":377,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:31.407Z","updated_at":"2021-09-30T09:31:32.983Z","grant_id":1220,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BG/G004358/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5553,"fairsharing_record_id":377,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:31.490Z","updated_at":"2021-09-30T09:32:06.083Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5549,"fairsharing_record_id":377,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:31.331Z","updated_at":"2021-09-30T09:32:09.473Z","grant_id":1493,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"378","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-14T17:02:50.406Z","metadata":{"doi":"10.25504/FAIRsharing.h4rs6h","name":"GO-PLUS","status":"ready","contacts":[],"homepage":"http://geneontology.org/docs/download-ontology/#go_plus_owl","citations":[],"identifier":378,"description":"This is the fully axiomatised version of the Gene Ontology (GO). It includes cross-ontology relationships (axioms) and imports additional required ontologies including ChEBI, Cell Ontology and Uberon. It also includes a complete set of relationship types including some not in go.obo/go.owl. This version is only available in OWL format.","abbreviation":"GO-PLUS","support_links":[{"url":"https://www.alliancegenome.org/","name":"Alliance of Genome Ressources","type":"Other"},{"url":"http://geneontology.org/docs/go-subset-guide/","name":"Guide to GO subsets","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/oboformat/oboformat-tools","name":" Oboformat tools"},{"url":"https://github.com/owlcs/owlapi","name":"OWL API in Github"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GO-PLUS","name":"GO-PLUS","portal":"BioPortal"}]},"legacy_ids":["bsg-001041","bsg-s001041"],"name":"FAIRsharing record for: GO-PLUS","abbreviation":"GO-PLUS","url":"https://fairsharing.org/10.25504/FAIRsharing.h4rs6h","doi":"10.25504/FAIRsharing.h4rs6h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is the fully axiomatised version of the Gene Ontology (GO). It includes cross-ontology relationships (axioms) and imports additional required ontologies including ChEBI, Cell Ontology and Uberon. It also includes a complete set of relationship types including some not in go.obo/go.owl. This version is only available in OWL format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Gene functional annotation","Molecular function","Cellular component","Biological process"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10410,"fairsharing_record_id":378,"organisation_id":1099,"relation":"maintains","created_at":"2023-03-14T16:53:29.486Z","updated_at":"2023-03-14T16:53:29.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"379","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:34.719Z","metadata":{"doi":"10.25504/FAIRsharing.pkw5bj","name":"Genome Variation Format","status":"ready","contacts":[{"contact_name":"Karen Eilbeck","contact_email":"keilbeck@genetics.utah.edu"}],"homepage":"https://github.com/The-Sequence-Ontology/Specifications/blob/master/gvf.md","identifier":379,"description":"The Genome Variation Format (GVF) is a very simple file format for describing sequence alteration features at nucleotide resolution relative to a reference genome.","abbreviation":"GVF","year_creation":2009},"legacy_ids":["bsg-000535","bsg-s000535"],"name":"FAIRsharing record for: Genome Variation Format","abbreviation":"GVF","url":"https://fairsharing.org/10.25504/FAIRsharing.pkw5bj","doi":"10.25504/FAIRsharing.pkw5bj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome Variation Format (GVF) is a very simple file format for describing sequence alteration features at nucleotide resolution relative to a reference genome.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12032},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16924}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","DNA sequence data","Genetic polymorphism","Genome","Sequence variant"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":432,"pubmed_id":20796305,"title":"A standard variation file format for human genome sequences.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-8-r88","authors":"Reese MG, Moore B, Batchelor C, Salas F, Cunningham F, Marth GT, Stein L, Flicek P, Yandell M, Eilbeck K.","journal":"Genome Biol.","doi":"10.1186/gb-2010-11-8-r88","created_at":"2021-09-30T08:23:06.983Z","updated_at":"2021-09-30T08:23:06.983Z"}],"licence_links":[],"grants":[{"id":5555,"fairsharing_record_id":379,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:31.584Z","updated_at":"2021-09-30T09:27:31.584Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5557,"fairsharing_record_id":379,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:31.654Z","updated_at":"2021-09-30T09:29:44.127Z","grant_id":378,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R44HG3667","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5556,"fairsharing_record_id":379,"organisation_id":2548,"relation":"maintains","created_at":"2021-09-30T09:27:31.621Z","updated_at":"2021-09-30T09:27:31.621Z","grant_id":null,"is_lead":false,"saved_state":{"id":2548,"name":"Sequence Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8446,"fairsharing_record_id":379,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:40.493Z","updated_at":"2021-09-30T09:32:40.549Z","grant_id":1728,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R44HG2991","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"380","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T14:33:51.000Z","updated_at":"2022-02-08T10:40:48.628Z","metadata":{"doi":"10.25504/FAIRsharing.b52795","name":"BIM","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#bim","identifier":380,"description":"Extended variant information file accompanying a .bed binary genotype table.","abbreviation":"BIM"},"legacy_ids":["bsg-001479","bsg-s001479"],"name":"FAIRsharing record for: BIM","abbreviation":"BIM","url":"https://fairsharing.org/10.25504/FAIRsharing.b52795","doi":"10.25504/FAIRsharing.b52795","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Extended variant information file accompanying a .bed binary genotype table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["Chromosome","Allele","Sequence variant"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"370","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-16T16:33:17.617Z","metadata":{"doi":"10.25504/FAIRsharing.6bsfgf","name":"Recommended reporting guidelines for life science resources","status":"ready","contacts":[{"contact_name":"Melissa Haendel","contact_email":"haendel@ohsu.edu"}],"homepage":"https://force11.org/group/pages/recommended-reporting-guidelines-for-life-science-resources/","citations":[],"identifier":370,"description":"Recommended reporting guidelines for research resources frequently used in biomedical research, including antibodies, constructs, cell lines, model organisms and knockdown reagents. The purpose of these guidelines is to determine what information is required to uniquely identify a resource, either using \"extrinsic\" identifiers or providing sufficient metadata about \"intrinsic\" attributes to identify sufficiently characterize a resource. The Resource Identification Initiative was developed as an extension of these guidelines.","abbreviation":"Reporting guidelines for research resources","support_links":[{"url":"https://www.force11.org/group/4463/files","name":"Links \u0026 files","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-000532","bsg-s000532"],"name":"FAIRsharing record for: Recommended reporting guidelines for life science resources","abbreviation":"Reporting guidelines for research resources","url":"https://fairsharing.org/10.25504/FAIRsharing.6bsfgf","doi":"10.25504/FAIRsharing.6bsfgf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Recommended reporting guidelines for research resources frequently used in biomedical research, including antibodies, constructs, cell lines, model organisms and knockdown reagents. The purpose of these guidelines is to determine what information is required to uniquely identify a resource, either using \"extrinsic\" identifiers or providing sufficient metadata about \"intrinsic\" attributes to identify sufficiently characterize a resource. The Resource Identification Initiative was developed as an extension of these guidelines.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Neurobiology","Immunology","Developmental Biology","Life Science","Cell Biology","Biomedical Science","Translational Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":631,"pubmed_id":26594330,"title":"The Resource Identification Initiative: A cultural shift in publishing.","year":2015,"url":"http://doi.org/10.12688/f1000research.6555.2","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan S,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"F1000Res","doi":"10.12688/f1000research.6555.2","created_at":"2021-09-30T08:23:29.376Z","updated_at":"2021-09-30T08:23:29.376Z"},{"id":1283,"pubmed_id":26599696,"title":"The Resource Identification Initiative: A Cultural Shift in Publishing.","year":2015,"url":"http://doi.org/10.1002/cne.23913","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan SC,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"J Comp Neurol","doi":"10.1002/cne.23913","created_at":"2021-09-30T08:24:43.216Z","updated_at":"2021-09-30T08:24:43.216Z"},{"id":1418,"pubmed_id":24032093,"title":"On the reproducibility of science: unique identification of research resources in the biomedical literature.","year":2013,"url":"http://doi.org/10.7717/peerj.148","authors":"Vasilevsky NA,Brush MH,Paddock H,Ponting L,Tripathy SJ,Larocca GM,Haendel MA","journal":"PeerJ","doi":"10.7717/peerj.148","created_at":"2021-09-30T08:24:58.427Z","updated_at":"2021-09-30T08:24:58.427Z"}],"licence_links":[],"grants":[{"id":5539,"fairsharing_record_id":370,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:27:30.857Z","updated_at":"2021-09-30T09:27:30.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5542,"fairsharing_record_id":370,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:30.978Z","updated_at":"2021-09-30T09:31:55.160Z","grant_id":1386,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R24OD011883-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5538,"fairsharing_record_id":370,"organisation_id":2804,"relation":"funds","created_at":"2021-09-30T09:27:30.819Z","updated_at":"2021-09-30T09:27:30.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5540,"fairsharing_record_id":370,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:30.898Z","updated_at":"2021-09-30T09:27:30.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5541,"fairsharing_record_id":370,"organisation_id":2436,"relation":"maintains","created_at":"2021-09-30T09:27:30.939Z","updated_at":"2021-09-30T09:27:30.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2436,"name":"Resource Identification Initiatve","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"371","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T10:05:22.953Z","metadata":{"doi":"10.25504/FAIRsharing.2basyz","name":"Cardiovascular Disease Ontology","status":"ready","contacts":[{"contact_name":"Adrien Barton","contact_email":"adrien.barton@gmail.com"},{"contact_name":"Paul Fabry","contact_email":"paul.fabry@usherbrooke.ca","contact_orcid":null}],"homepage":"https://github.com/OpenLHS/CVDO","citations":[],"identifier":371,"description":"CVDO is an ontology based on the OGMS model of disease, designed to describe entities related to cardiovascular diseases (including the diseases themselves, the underlying disorders, and the related pathological processes).","abbreviation":"CVDO","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CVDO","name":"CVDO","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/cvdo.html","name":"cvdo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001024","bsg-s001024"],"name":"FAIRsharing record for: Cardiovascular Disease Ontology","abbreviation":"CVDO","url":"https://fairsharing.org/10.25504/FAIRsharing.2basyz","doi":"10.25504/FAIRsharing.2basyz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CVDO is an ontology based on the OGMS model of disease, designed to describe entities related to cardiovascular diseases (including the diseases themselves, the underlying disorders, and the related pathological processes).","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16985}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cardiology"],"domains":["Cardiovascular disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2555,"relation":"applies_to_content"}],"grants":[{"id":8691,"fairsharing_record_id":371,"organisation_id":2987,"relation":"maintains","created_at":"2022-01-06T20:15:50.986Z","updated_at":"2022-01-06T20:15:50.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":2987,"name":"Université de Sherbrooke, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8692,"fairsharing_record_id":371,"organisation_id":1444,"relation":"maintains","created_at":"2022-01-06T20:15:51.016Z","updated_at":"2022-01-06T20:15:51.016Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"372","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-04-18T09:43:37.788Z","metadata":{"doi":"10.25504/FAIRsharing.9sza27","name":"Growth Medium Onotology","status":"ready","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"shuichi.kawashima@gmail.com"}],"homepage":"https://github.com/skwsm/gmo","citations":[],"identifier":372,"description":"A structured controlled vocabulary for describing ingredients that constitute microbial growth media used in biological research centers.","abbreviation":"GMO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GMO","name":"GMO","portal":"BioPortal"}]},"legacy_ids":["bsg-001025","bsg-s001025"],"name":"FAIRsharing record for: Growth Medium Onotology","abbreviation":"GMO","url":"https://fairsharing.org/10.25504/FAIRsharing.9sza27","doi":"10.25504/FAIRsharing.9sza27","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for describing ingredients that constitute microbial growth media used in biological research centers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Microbiology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"373","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-20T10:30:03.493Z","metadata":{"doi":"10.25504/FAIRsharing.tv1yg0","name":"Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy","status":"ready","contacts":[{"contact_name":"Annette O'Connor","contact_email":"oconn445@msu.edu"}],"homepage":"http://www.reflect-statement.org/statement/","citations":[],"identifier":373,"description":"REFLECT stands for Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy. It is an evidence-based minimum set of items for trials reporting production, health, and food-safety outcomes.The aim of the REFLECT Statement is to help authors improve the reporting livestock trials with production, health, and food-safety outcomes. The REFLECT Statement consists of a 22-item checklist. It is an evolving document that is subject to change periodically as new evidence emerges.","abbreviation":"REFLECT","support_links":[],"year_creation":2008},"legacy_ids":["bsg-000110","bsg-s000110"],"name":"FAIRsharing record for: Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy","abbreviation":"REFLECT","url":"https://fairsharing.org/10.25504/FAIRsharing.tv1yg0","doi":"10.25504/FAIRsharing.tv1yg0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REFLECT stands for Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy. It is an evidence-based minimum set of items for trials reporting production, health, and food-safety outcomes.The aim of the REFLECT Statement is to help authors improve the reporting livestock trials with production, health, and food-safety outcomes. The REFLECT Statement consists of a 22-item checklist. It is an evolving document that is subject to change periodically as new evidence emerges.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12105},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12508}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Nutritional Science","Preclinical Studies"],"domains":["Safety study","Group randomization"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1826,"pubmed_id":20070652,"title":"The REFLECT statement: reporting guidelines for Randomized Controlled Trials in livestock and food safety: explanation and elaboration.","year":2010,"url":"http://doi.org/10.1111/j.1863-2378.2009.01312.x","authors":"Sargeant JM,O'Connor AM,Gardner IA,Dickson JS,Torrence ME","journal":"Zoonoses Public Health","doi":"10.1111/j.1863-2378.2009.01312.x","created_at":"2021-09-30T08:25:45.106Z","updated_at":"2021-09-30T08:25:45.106Z"},{"id":4147,"pubmed_id":null,"title":"The REFLECT Statement: Methods and Processes of Creating Reporting Guidelines for Randomized Controlled Trials for Livestockand Food Safety","year":2016,"url":"http://dx.doi.org/10.4315/0362-028x-73.1.132","authors":"O’Connor, A.M.; Sargeant, J.M.; Gardner, I.A.; Dickson, J.S.; Torrence and, M.E.; Dewey, C.E.; Dohoo, I.R.; Evans, R.B.; Gray, J.T.; Greiner, M.; Keefe, G.; Lefebvre, S.L.; Morley, P.S.; Ramirez, A.; Sischo, W.; Smith, D.R.; Snedeker, K.; Sofos, J.N.; Ward, M.P.; Wills, R.; ","journal":"Journal of Food Protection","doi":"10.4315/0362-028x-73.1.132","created_at":"2024-02-20T10:13:59.726Z","updated_at":"2024-02-20T10:13:59.726Z"},{"id":4148,"pubmed_id":null,"title":"The REFLECT Statement: Reporting Guidelines for Randomized Controlled Trials in Livestock and Food Safety: Explanation and Elaboration","year":2016,"url":"http://dx.doi.org/10.4315/0362-028x-73.3.579","authors":"Sargeant, J.M.; O’connor, A.M.; Gardner, I.A.; Dickson, J.S.; Torrence, M.E.; Dohoo, Consensus Meeting Participants I.R.; Lefebvre, S.L.; Morley, P.S.; Ramirez, A.; Snedeker, K.; ","journal":"Journal of Food Protection","doi":"10.4315/0362-028x-73.3.579","created_at":"2024-02-20T10:14:15.614Z","updated_at":"2024-02-20T10:14:15.614Z"},{"id":4149,"pubmed_id":null,"title":"The REFLECT Statement: Methods and Processes of Creating Reporting Guidelines for Randomized Controlled Trials for Livestock and Food Safety by Modifying the CONSORT Statement","year":2010,"url":"http://dx.doi.org/10.1111/j.1863-2378.2009.01311.x","authors":"O’Connor, A. M.; Sargeant, J. M.; Gardner, I. A.; Dickson, J. S.; Torrence, M. E.; Dewey, C. E.; Dohoo, I. R.; Evans, R. B.; Gray, J. T.; Greiner, M.; Keefe, G.; Lefebvre, S. L.; Morley, P. S.; Ramirez, A.; Sischo, W.; Smith, D. R.; Snedeker, K.; Sofos, J.; Ward, M. P.; Wills, R.; undefined, undefined; ","journal":"Zoonoses and Public Health","doi":"10.1111/j.1863-2378.2009.01311.x","created_at":"2024-02-20T10:14:37.372Z","updated_at":"2024-02-20T10:14:37.372Z"},{"id":4150,"pubmed_id":null,"title":"The REFLECT Statement: Methods and Processes of Creating Reporting Guidelines for Randomized Controlled Trials for Livestock and Food Safety","year":2009,"url":"http://dx.doi.org/10.1111/j.1939-1676.2009.0441.x","authors":"O'Connor, A.M.; Sargeant, J.M.; Gardner, I.A.; Dickson, J.S.; Torrence, M.E.; undefined, undefined; ","journal":"Veterinary Internal Medicne","doi":"10.1111/j.1939-1676.2009.0441.x","created_at":"2024-02-20T10:14:46.784Z","updated_at":"2024-02-20T10:14:46.784Z"},{"id":4151,"pubmed_id":null,"title":"The REFLECT statement: Methods and processes of creating Reporting Guidelines For Randomized Controlled Trials for livestock and food safety","year":2009,"url":"http://dx.doi.org/10.1016/j.prevetmed.2009.10.008","authors":"O’Connor, A.M.; Sargeant, J.M.; Gardner, I.A.; Dickson, J.S.; Torrence, M.E.; Dewey, C.E.; Dohoo, I.R.; Evans, R.B.; Gray, J.T.; Greiner, M.; Keefe, G.; Lefebvre, S.L.; Morley, P.S.; Ramirez, A.; Sischo, W.; Smith, D.R.; Snedeker, K.; Sofos, J.; Ward, M.P.; Wills, R.; ","journal":"Preventive Veterinary Medicine","doi":"10.1016/j.prevetmed.2009.10.008","created_at":"2024-02-20T10:14:56.877Z","updated_at":"2024-02-20T10:14:56.877Z"}],"licence_links":[],"grants":[{"id":5544,"fairsharing_record_id":373,"organisation_id":2937,"relation":"funds","created_at":"2021-09-30T09:27:31.099Z","updated_at":"2021-09-30T09:31:37.160Z","grant_id":1251,"is_lead":false,"saved_state":{"id":2937,"name":"Food Safety and Inspection Service, United States Department of Agriculture","grant":"2005-35212-15287","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11388,"fairsharing_record_id":373,"organisation_id":4276,"relation":"collaborates_on","created_at":"2024-02-20T10:23:41.813Z","updated_at":"2024-02-20T10:23:41.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":4276,"name":"Ontario Veterinary College","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11390,"fairsharing_record_id":373,"organisation_id":1830,"relation":"maintains","created_at":"2024-02-20T10:23:41.964Z","updated_at":"2024-02-20T10:23:41.964Z","grant_id":null,"is_lead":true,"saved_state":{"id":1830,"name":"Michigan State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11392,"fairsharing_record_id":373,"organisation_id":4277,"relation":"collaborates_on","created_at":"2024-02-20T10:23:42.118Z","updated_at":"2024-02-20T10:23:42.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":4277,"name":"University of Prince Edward Island","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11394,"fairsharing_record_id":373,"organisation_id":561,"relation":"collaborates_on","created_at":"2024-02-20T10:23:42.311Z","updated_at":"2024-02-20T10:23:42.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":561,"name":"Colorado State University, CO, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11389,"fairsharing_record_id":373,"organisation_id":1545,"relation":"collaborates_on","created_at":"2024-02-20T10:23:41.814Z","updated_at":"2024-02-20T10:23:41.814Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11391,"fairsharing_record_id":373,"organisation_id":2932,"relation":"collaborates_on","created_at":"2024-02-20T10:23:41.987Z","updated_at":"2024-02-20T10:23:41.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":11393,"fairsharing_record_id":373,"organisation_id":4278,"relation":"collaborates_on","created_at":"2024-02-20T10:23:42.169Z","updated_at":"2024-02-20T10:23:42.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":4278,"name":"American Veterinary Medical Association","types":["Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcG9EIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--bb8cf2b379b645e33e30ba91be7c85ffa2ea26cb/Screenshot%20from%202024-02-20%2010-12-05.png?disposition=inline","exhaustive_licences":false}},{"id":"374","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:51:19.981Z","metadata":{"doi":"10.25504/FAIRsharing.emw61v","name":"Toxicology Data Markup Language","status":"deprecated","contacts":[{"contact_name":"Ma Ali","contact_email":"ash.ali@lhasalimited.org"}],"homepage":"http://toxml.org","citations":[],"identifier":374,"description":"ToxML is an open data exchange standard that allows the representation and communication of toxicological and related data in a well-structured electronic format. The status of this format is uncertain as the homepage is no longer accessible. ","abbreviation":"ToxML","year_creation":2011,"deprecation_date":"2022-03-02","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000539","bsg-s000539"],"name":"FAIRsharing record for: Toxicology Data Markup Language","abbreviation":"ToxML","url":"https://fairsharing.org/10.25504/FAIRsharing.emw61v","doi":"10.25504/FAIRsharing.emw61v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ToxML is an open data exchange standard that allows the representation and communication of toxicological and related data in a well-structured electronic format. The status of this format is uncertain as the homepage is no longer accessible. ","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10854},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11725},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12475}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Toxicogenomics","Toxicology","Chemistry","Life Science"],"domains":["Chemical entity","Toxicity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":604,"pubmed_id":23621552,"title":"ToxML, a data exchange standard with content controlled vocabulary used to build better (Q)SAR models","year":2013,"url":"http://doi.org/10.1080/1062936X.2013.783506","authors":"Ali M, Patel M, Wilkinson D, Judson P, Cross K, Bower D","journal":"SAR and QSAR in Environmental Research","doi":"10.1080/1062936X.2013.783506","created_at":"2021-09-30T08:23:26.202Z","updated_at":"2021-09-30T08:23:26.202Z"}],"licence_links":[],"grants":[{"id":5546,"fairsharing_record_id":374,"organisation_id":1711,"relation":"funds","created_at":"2021-09-30T09:27:31.206Z","updated_at":"2021-09-30T09:27:31.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":1711,"name":"Lhasa Limited, Leeds, UK","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"344","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-31T17:56:06.840Z","metadata":{"doi":"10.25504/FAIRsharing.aa0eat","name":"OBO Format Syntax and Semantics","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://owlcollab.github.io/oboformat/doc/obo-syntax.html","citations":[],"identifier":344,"description":"The first part of this specification describes the syntax and structure of OBO Format using BNF. This states how strings of characters in OBOF Files are parsed into abstract OBO documents, and describes constraints on the structure of these documents. The second part of this specification describes the semantics of an OBO document via a mapping to OWL2-DL and community metadata vocabularies.","abbreviation":"OBO Format","year_creation":2012},"legacy_ids":["bsg-000534","bsg-s000534"],"name":"FAIRsharing record for: OBO Format Syntax and Semantics","abbreviation":"OBO Format","url":"https://fairsharing.org/10.25504/FAIRsharing.aa0eat","doi":"10.25504/FAIRsharing.aa0eat","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first part of this specification describes the syntax and structure of OBO Format using BNF. This states how strings of characters in OBOF Files are parsed into abstract OBO documents, and describes constraints on the structure of these documents. The second part of this specification describes the semantics of an OBO document via a mapping to OWL2-DL and community metadata vocabularies.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12215}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"345","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2021-11-24T13:14:19.374Z","metadata":{"doi":"10.25504/FAIRsharing.qqy0dr","name":"Ontology of Chinese Medicine for Rheumatism","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/biomedontology/ocmr","identifier":345,"description":"OCMR is a biomedical ontology that represents anti-rheumatism traditional Chinese medicines and related information.","abbreviation":"OCMR","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCMR","name":"OCMR","portal":"BioPortal"}]},"legacy_ids":["bsg-001004","bsg-s001004"],"name":"FAIRsharing record for: Ontology of Chinese Medicine for Rheumatism","abbreviation":"OCMR","url":"https://fairsharing.org/10.25504/FAIRsharing.qqy0dr","doi":"10.25504/FAIRsharing.qqy0dr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OCMR is a biomedical ontology that represents anti-rheumatism traditional Chinese medicines and related information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1271,"relation":"undefined"}],"grants":[{"id":5506,"fairsharing_record_id":345,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:29.763Z","updated_at":"2021-09-30T09:27:29.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"347","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2024-03-25T20:38:27.926Z","metadata":{"doi":"10.25504/FAIRsharing.pn1sen","name":"Enzyme Reaction Ontology for annotating Partial Information of chemical transformation","status":"ready","contacts":[{"contact_name":"Masaaki Kotera","contact_email":"maskot@bio.titech.ac.jp"}],"homepage":"http://reactionontology.genome.jp/","citations":[],"identifier":347,"description":"PIERO stands for \"Enzyme Reaction Ontology for annotating Partial Information of chemical transformation\", which allows the extraction of partial reaction characteristics (or transformations) of the enzymatic reactions. ","abbreviation":"PIERO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PIERO","name":"PIERO","portal":"BioPortal"}]},"legacy_ids":["bsg-001008","bsg-s001008"],"name":"FAIRsharing record for: Enzyme Reaction Ontology for annotating Partial Information of chemical transformation","abbreviation":"PIERO","url":"https://fairsharing.org/10.25504/FAIRsharing.pn1sen","doi":"10.25504/FAIRsharing.pn1sen","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PIERO stands for \"Enzyme Reaction Ontology for annotating Partial Information of chemical transformation\", which allows the extraction of partial reaction characteristics (or transformations) of the enzymatic reactions. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Enzymology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":4206,"pubmed_id":null,"title":"PIERO ontology for analysis of biochemical transformations: Effective implementation of reaction information in the IUBMB enzyme list","year":2014,"url":"http://dx.doi.org/10.1142/S0219720014420013","authors":"Kotera, Masaaki; Nishimura, Yosuke; Nakagawa, Zen-Ichi; Muto, Ai; Moriya, Yuki; Okamoto, Shinobu; Kawashima, Shuichi; Katayama, Toshiaki; Tokimatsu, Toshiaki; Kanehisa, Minoru; Goto, Susumu; ","journal":"J. Bioinform. Comput. Biol.","doi":"10.1142/s0219720014420013","created_at":"2024-03-25T19:36:58.641Z","updated_at":"2024-03-25T19:36:58.641Z"}],"licence_links":[],"grants":[{"id":10409,"fairsharing_record_id":347,"organisation_id":1654,"relation":"maintains","created_at":"2023-03-14T16:46:38.324Z","updated_at":"2024-03-25T20:23:00.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":1654,"name":"Kyoto University, Kyoto, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11624,"fairsharing_record_id":347,"organisation_id":239,"relation":"maintains","created_at":"2024-03-25T20:23:00.043Z","updated_at":"2024-03-25T20:23:00.043Z","grant_id":null,"is_lead":true,"saved_state":{"id":239,"name":"Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto,Japan","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFlFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--80c044d69ca4031cb9b8d1b0cacb1999069b3476/piero-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"348","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-15T21:51:34.838Z","metadata":{"doi":"10.25504/FAIRsharing.azj141","name":"Material Rock Igneous","status":"deprecated","contacts":[{"contact_name":"Nitin","contact_email":"jhanit@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MATRROCKIGNEOUS","citations":[],"identifier":348,"description":"Material Rock Igneous component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","abbreviation":"MATRROCKIGNEOUS","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MATRROCKIGNEOUS","name":"MATRROCKIGNEOUS","portal":"BioPortal"}],"deprecation_date":"2022-07-15","deprecation_reason":"Deprecated because we represent all SWEET component ontologies via the main SWEET ontology record."},"legacy_ids":["bsg-001009","bsg-s001009"],"name":"FAIRsharing record for: Material Rock Igneous","abbreviation":"MATRROCKIGNEOUS","url":"https://fairsharing.org/10.25504/FAIRsharing.azj141","doi":"10.25504/FAIRsharing.azj141","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Material Rock Igneous component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"349","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T09:07:38.640Z","metadata":{"doi":"10.25504/FAIRsharing.309v57","name":"Livestock Breed Ontology","status":"ready","contacts":[{"contact_name":"Jim Reecy","contact_email":"jreecy@iastate.edu"}],"homepage":"https://www.animalgenome.org/bioinfo/projects/lbo/","citations":[],"identifier":349,"description":"The Livestock Breed Ontology (LBO) is a controlled vocabulary for the unambiguous description of breeds. Its utility include proper identification of inherited variation sources in genetics/genomic studies. ","abbreviation":"LBO","support_links":[{"url":"https://github.com/AnimalGenome/livestock-breed-ontology","name":"LBO GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LBO","name":"LBO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/lbo","name":"LBO in OLS","portal":"OLS"},{"url":"http://agroportal.lirmm.fr/ontologies/LBO","name":"LBO in AgroPortal","portal":"AgroPortal"}]},"legacy_ids":["bsg-001011","bsg-s001011"],"name":"FAIRsharing record for: Livestock Breed Ontology","abbreviation":"LBO","url":"https://fairsharing.org/10.25504/FAIRsharing.309v57","doi":"10.25504/FAIRsharing.309v57","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Livestock Breed Ontology (LBO) is a controlled vocabulary for the unambiguous description of breeds. Its utility include proper identification of inherited variation sources in genetics/genomic studies. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Breeding","Genomics","Genetics","Animal Husbandry"],"domains":[],"taxonomies":["Bison bison","Bos taurus","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2733,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"350","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T10:31:24.000Z","updated_at":"2022-07-20T10:51:25.364Z","metadata":{"name":"Open Microscopy Environment Ontology","status":"in_development","contacts":[{"contact_name":"Norio Kobayashi","contact_email":"norio.kobayashi@riken.jp"}],"homepage":"https://gitlab.com/openmicroscopy/incubator/ome-owl","identifier":350,"description":"The Open Microscopy Environment Ontology (OME-OWL) is a light microscopy imaging ontology that has been developed through translation of the OME data model. The aim of this ontology is to support multi-modal imaging technologies and integrate life-science metadata to enable comprehensive image analyses. The core concepts extracted from the OME Data model include project, experiment, instrument, image, screen, plate and region of interest. The ontology has been extended to include electron microscopy, X-ray computed tomography (CT) and magnetic resonance imaging (MRI).","abbreviation":"OME-OWL","support_links":[{"url":"https://gitlab.com/openmicroscopy/incubator/ome-owl/issues","name":"Issue Tracker","type":"Forum"}],"year_creation":2018,"associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}]},"legacy_ids":["bsg-001430","bsg-s001430"],"name":"FAIRsharing record for: Open Microscopy Environment Ontology","abbreviation":"OME-OWL","url":"https://fairsharing.org/fairsharing_records/350","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Microscopy Environment Ontology (OME-OWL) is a light microscopy imaging ontology that has been developed through translation of the OME data model. The aim of this ontology is to support multi-modal imaging technologies and integrate life-science metadata to enable comprehensive image analyses. The core concepts extracted from the OME Data model include project, experiment, instrument, image, screen, plate and region of interest. The ontology has been extended to include electron microscopy, X-ray computed tomography (CT) and magnetic resonance imaging (MRI).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18248},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11015},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14565}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Bioimaging","Light microscopy","Electron microscopy","Magnetic resonance imaging"],"taxonomies":["All"],"user_defined_tags":["X-ray Computed Tomography (CT)"],"countries":["Japan","United Kingdom"],"publications":[{"id":2706,"pubmed_id":null,"title":"OME Ontology: A Novel Data and Tool Integration Methodology for Multi-Modal Imaging in the Life Sciences.","year":2018,"url":"https://doi.org/10.6084/m9.figshare.7325063.v1","authors":"Kobayashi, Norio; Kume, Satoshi; Moore, Josh; Swedlow, Jason R.","journal":"Figshare","doi":null,"created_at":"2021-09-30T08:27:32.352Z","updated_at":"2021-09-30T11:29:51.943Z"}],"licence_links":[],"grants":[{"id":5508,"fairsharing_record_id":350,"organisation_id":2443,"relation":"maintains","created_at":"2021-09-30T09:27:29.834Z","updated_at":"2021-09-30T09:27:29.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":2443,"name":"RIKEN Center for Biosystems Dynamics Research (BDR), RIKEN, Hyogo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5509,"fairsharing_record_id":350,"organisation_id":769,"relation":"maintains","created_at":"2021-09-30T09:27:29.857Z","updated_at":"2021-09-30T09:27:29.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":769,"name":"Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5510,"fairsharing_record_id":350,"organisation_id":1220,"relation":"maintains","created_at":"2021-09-30T09:27:29.883Z","updated_at":"2021-09-30T09:27:29.883Z","grant_id":null,"is_lead":true,"saved_state":{"id":1220,"name":"Head Office for Information Systems and Cybersecurity (ISC), RIKEN, Saitama, Japan","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5507,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:27:29.802Z","updated_at":"2021-09-30T09:29:15.870Z","grant_id":165,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"5K16536","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8035,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:30:32.844Z","updated_at":"2021-09-30T09:30:32.896Z","grant_id":759,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"17K00434","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8146,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:31:11.130Z","updated_at":"2021-09-30T09:31:11.175Z","grant_id":1053,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"18K19766","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8467,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:32:46.894Z","updated_at":"2021-09-30T09:32:46.951Z","grant_id":1775,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"17K00424","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"336","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T10:21:55.000Z","updated_at":"2023-05-04T13:18:31.199Z","metadata":{"doi":"10.25504/FAIRsharing.5cae72","name":"RDF/XML Syntax Specification","status":"ready","contacts":[{"contact_name":"Guus Schreiber","contact_email":"guus.schreiber@vu.nl","contact_orcid":"0000-0002-2400-1185"}],"homepage":"http://www.w3.org/TR/rdf-syntax-grammar/","citations":[],"identifier":336,"description":"RDF/XML is a standard which defines and describes the XML syntax for RDF graphs. Since 2004 it has been standardized as a W3C Recommendation.","abbreviation":"RDF/XML","support_links":[{"url":"public-rdf-comments@w3.org","name":"Make comments","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/RDF1.1_Errata","name":"Errata","type":"Help documentation"},{"url":"https://lists.w3.org/Archives/Public/public-rdf-comments/","name":"Mail Archives","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001261","bsg-s001261"],"name":"FAIRsharing record for: RDF/XML Syntax Specification","abbreviation":"RDF/XML","url":"https://fairsharing.org/10.25504/FAIRsharing.5cae72","doi":"10.25504/FAIRsharing.5cae72","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDF/XML is a standard which defines and describes the XML syntax for RDF graphs. Since 2004 it has been standardized as a W3C Recommendation.","linked_records":[],"linking_records":[{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13244}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Patent Policy","licence_id":849,"licence_url":"https://www.w3.org/Consortium/Patent-Policy-20040205/","link_id":132,"relation":"undefined"}],"grants":[{"id":5499,"fairsharing_record_id":336,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:29.457Z","updated_at":"2021-09-30T09:27:29.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5501,"fairsharing_record_id":336,"organisation_id":3012,"relation":"maintains","created_at":"2021-09-30T09:27:29.525Z","updated_at":"2021-09-30T09:27:29.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":3012,"name":"University of Amsterdam, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5500,"fairsharing_record_id":336,"organisation_id":3206,"relation":"maintains","created_at":"2021-09-30T09:27:29.492Z","updated_at":"2023-05-03T15:12:27.817Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"337","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-05-23T12:20:35.576Z","metadata":{"doi":"10.25504/FAIRsharing.8xmrgq","name":"Pathogenic Disease Ontology","status":"deprecated","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"http://mdb.bio.titech.ac.jp/pdo","citations":[],"identifier":337,"description":"An ontology for describing both human infectious diseases caused by microbes and the diseases that is related to microbial infection.","abbreviation":"PDO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDO","name":"PDO","portal":"BioPortal"}],"deprecation_date":"2022-05-23","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000998","bsg-s000998"],"name":"FAIRsharing record for: Pathogenic Disease Ontology","abbreviation":"PDO","url":"https://fairsharing.org/10.25504/FAIRsharing.8xmrgq","doi":"10.25504/FAIRsharing.8xmrgq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing both human infectious diseases caused by microbes and the diseases that is related to microbial infection.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Pathogen"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"339","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-03-30T07:31:23.156Z","metadata":{"doi":"10.25504/FAIRsharing.xn3pb3","name":"Veterans Health Administration National Drug File","status":"ready","contacts":[{"contact_name":"Michael Lincoln","contact_email":"michael.lincoln@med.va.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/VANDF/","identifier":339,"description":"Veterans Health Administration National Drug File is a centrally maintained electronic drug list used by the VHA hospitals and clinics. Facilities use the NDF to check drug interactions, to manage orders, and to send outpatient prescriptions to regional automated mail-out pharmacies.","abbreviation":"VANDF","support_links":[{"url":"https://www.pbm.va.gov/NationalFormulary.asp","name":"Pharmacy Benefits Management Services","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VANDF","name":"VANDF","portal":"BioPortal"}]},"legacy_ids":["bsg-002682","bsg-s002682"],"name":"FAIRsharing record for: Veterans Health Administration National Drug File","abbreviation":"VANDF","url":"https://fairsharing.org/10.25504/FAIRsharing.xn3pb3","doi":"10.25504/FAIRsharing.xn3pb3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Veterans Health Administration National Drug File is a centrally maintained electronic drug list used by the VHA hospitals and clinics. Facilities use the NDF to check drug interactions, to manage orders, and to send outpatient prescriptions to regional automated mail-out pharmacies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacology","Biomedical Science"],"domains":["Drug","Drug interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":897,"pubmed_id":12463886,"title":"A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF.","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12463886","authors":"Nelson SJ,Brown SH,Erlbaum MS,Olson N,Powell T,Carlsen B,Carter J,Tuttle MS,Hole WT","journal":"Proc AMIA Symp","doi":null,"created_at":"2021-09-30T08:23:59.121Z","updated_at":"2021-09-30T08:23:59.121Z"}],"licence_links":[],"grants":[{"id":9062,"fairsharing_record_id":339,"organisation_id":2948,"relation":"maintains","created_at":"2022-03-29T17:18:26.072Z","updated_at":"2022-03-29T17:18:26.072Z","grant_id":null,"is_lead":false,"saved_state":{"id":2948,"name":"United States Department of Veterans Affairs","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5503,"fairsharing_record_id":339,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:29.596Z","updated_at":"2021-09-30T09:27:29.596Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"341","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:17:29.000Z","updated_at":"2024-05-21T11:36:29.070Z","metadata":{"doi":"10.25504/FAIRsharing.ldTee3","name":"IDG Tissue Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":341,"description":"Tissue sample model system reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001228","bsg-s001228"],"name":"FAIRsharing record for: IDG Tissue Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ldTee3","doi":"10.25504/FAIRsharing.ldTee3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Tissue sample model system reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11700}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11539,"fairsharing_record_id":341,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:11.065Z","updated_at":"2024-03-21T13:58:11.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11620,"fairsharing_record_id":341,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:11:17.989Z","updated_at":"2024-03-21T16:11:17.989Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaElFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4d45e486bd45ecf544e9d8f1fd7975234b4388d5/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"342","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:34.056Z","metadata":{"doi":"10.25504/FAIRsharing.8drfwh","name":"ICM binary file Format","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"support@molsoft.com"}],"homepage":"http://www.molsoft.com/icm/files.html","identifier":342,"description":"ICM binary file Format is used in databases pertaining to structural biology and protein families. This format can be used for the graphical representation of RNA, DNA, and proteins interactions.","abbreviation":"ICB","support_links":[{"url":"https://www.facebook.com/Molsoft/photos/a.458762136275.245660.151352866275/10153513335891276/?type=3","type":"Facebook"}],"year_creation":2013},"legacy_ids":["bsg-000277","bsg-s000277"],"name":"FAIRsharing record for: ICM binary file Format","abbreviation":"ICB","url":"https://fairsharing.org/10.25504/FAIRsharing.8drfwh","doi":"10.25504/FAIRsharing.8drfwh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ICM binary file Format is used in databases pertaining to structural biology and protein families. This format can be used for the graphical representation of RNA, DNA, and proteins interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Chemical structure","Molecular entity","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5505,"fairsharing_record_id":342,"organisation_id":1890,"relation":"maintains","created_at":"2021-09-30T09:27:29.680Z","updated_at":"2021-09-30T09:27:29.680Z","grant_id":null,"is_lead":false,"saved_state":{"id":1890,"name":"Molsoft LLC, San Diego, CA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"330","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:03:10.000Z","updated_at":"2024-03-21T16:13:52.404Z","metadata":{"doi":"10.25504/FAIRsharing.iUR9zW","name":"IDG Mouse Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":330,"description":"Mouse reporting standard for the Illuminating the Druggable Genome (IDG) consortium. Reporting standards based on Mutant Mouse Resource \u0026 Research Centers (MMRRC) requirements for deposition and resource management/availability.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/druggablegenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001225","bsg-s001225"],"name":"FAIRsharing record for: IDG Mouse Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.iUR9zW","doi":"10.25504/FAIRsharing.iUR9zW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mouse reporting standard for the Illuminating the Druggable Genome (IDG) consortium. Reporting standards based on Mutant Mouse Resource \u0026 Research Centers (MMRRC) requirements for deposition and resource management/availability.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11704}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Model organism","Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11561,"fairsharing_record_id":330,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.287Z","updated_at":"2024-03-21T13:58:57.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11619,"fairsharing_record_id":330,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:10:58.662Z","updated_at":"2024-03-21T16:10:58.662Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaEVFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e4b9dbbbf59a59aa892b3605e2927959c5064e59/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"331","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T18:59:15.000Z","updated_at":"2024-03-21T16:13:48.831Z","metadata":{"doi":"10.25504/FAIRsharing.aYZb2k","name":"IDG Genetic Construct Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":331,"description":"DNA construct reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/druggablegenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001224","bsg-s001224"],"name":"FAIRsharing record for: IDG Genetic Construct Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.aYZb2k","doi":"10.25504/FAIRsharing.aYZb2k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DNA construct reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11699}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genomics","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11562,"fairsharing_record_id":331,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.550Z","updated_at":"2024-03-21T13:58:57.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11618,"fairsharing_record_id":331,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:10:43.149Z","updated_at":"2024-03-21T16:10:43.149Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaEFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e97182cb49e20c5784cddb887c7fe544f8b7907b/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"332","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:34:25.000Z","updated_at":"2022-12-14T08:23:29.597Z","metadata":{"doi":"10.25504/FAIRsharing.L4Q3H9","name":"IVOA Identifier","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/IVOAIdentifiers/index.html","citations":[{"publication_id":2955}],"identifier":332,"description":"An IVOA Identifier is a globally unique name for a resource within the Virtual Observatory. This name can be used to retrieve a unique description of the resource from an IVOA-compliant registry or to identify an entity like a dataset or a protocol without dereferencing the identifier. This document describes the syntax for IVOA Identifiers as well as how they are created. The syntax has been defined to encourage global-uniqueness naturally and to maximize the freedom of resource providers to control the character content of an identifier.","abbreviation":"IVOA Identifier","support_links":[{"url":"http://www.ivoa.net/documents/IVOAIdentifiers/20160523/REC-Identifiers-2.0.html","name":"View Standard","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001196","bsg-s001196"],"name":"FAIRsharing record for: IVOA Identifier","abbreviation":"IVOA Identifier","url":"https://fairsharing.org/10.25504/FAIRsharing.L4Q3H9","doi":"10.25504/FAIRsharing.L4Q3H9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An IVOA Identifier is a globally unique name for a resource within the Virtual Observatory. This name can be used to retrieve a unique description of the resource from an IVOA-compliant registry or to identify an entity like a dataset or a protocol without dereferencing the identifier. This document describes the syntax for IVOA Identifiers as well as how they are created. The syntax has been defined to encourage global-uniqueness naturally and to maximize the freedom of resource providers to control the character content of an identifier.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11487}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Astrophysics and Astronomy"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2955,"pubmed_id":null,"title":"IVOA Identifiers Version 2.0","year":2016,"url":"http://dx.doi.org/10.5479/ADS/bib/2016ivoa.spec.0523D","authors":"Demleitner, Markus; Plante, Raymond; Linde, Tony; Williams, Roy; Noddle, Keith","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.208Z","updated_at":"2021-09-30T08:28:04.208Z"}],"licence_links":[],"grants":[{"id":5496,"fairsharing_record_id":332,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:27:29.383Z","updated_at":"2021-09-30T09:27:29.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5495,"fairsharing_record_id":332,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:29.350Z","updated_at":"2021-09-30T09:27:29.350Z","grant_id":null,"is_lead":true,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"357","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T14:11:13.000Z","updated_at":"2022-07-20T09:29:04.845Z","metadata":{"doi":"10.25504/FAIRsharing.f846bd","name":"CRAM","status":"ready","contacts":[{"contact_name":"James Bonfield","contact_email":"jkb@sanger.ac.uk","contact_orcid":"0000-0002-6447-4112"}],"homepage":"https://www.sanger.ac.uk/science/tools/cram","identifier":357,"description":"CRAM is a sequencing read file format that is highly space efficient by using reference-based compression of sequence data and offers both lossless and lossy modes of compression. Building on early proof-of-principle for reference-based compression (Hsi-Yang Fritz, et al. (2011). Genome Res. 21:734-740), the CRAM format balances usability with compression efficiency.","abbreviation":"CRAM","support_links":[{"url":"https://www.ebi.ac.uk/ena/software/cram-toolkit","name":"EBI's documentation","type":"Help documentation"}],"year_creation":2012,"associated_tools":[{"url":"https://www.ebi.ac.uk/ena/software/cram-reference-registry","name":"CRAM reference registry"}]},"legacy_ids":["bsg-001478","bsg-s001478"],"name":"FAIRsharing record for: CRAM","abbreviation":"CRAM","url":"https://fairsharing.org/10.25504/FAIRsharing.f846bd","doi":"10.25504/FAIRsharing.f846bd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CRAM is a sequencing read file format that is highly space efficient by using reference-based compression of sequence data and offers both lossless and lossy modes of compression. Building on early proof-of-principle for reference-based compression (Hsi-Yang Fritz, et al. (2011). Genome Res. 21:734-740), the CRAM format balances usability with compression efficiency.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18278},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14557},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16916}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["DNA sequence data","Next generation DNA sequencing","High Throughput Screening","RNA sequencing"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":2979,"pubmed_id":21245279,"title":"Efficient storage of high throughput DNA sequencing data using reference-based compression.","year":2011,"url":"http://doi.org/10.1101/gr.114819.110","authors":"Hsi-Yang Fritz M,Leinonen R,Cochrane G,Birney E","journal":"Genome Res","doi":"10.1101/gr.114819.110","created_at":"2021-09-30T08:28:07.090Z","updated_at":"2021-09-30T08:28:07.090Z"},{"id":2980,"pubmed_id":24930138,"title":"The Scramble conversion tool.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu390","authors":"Bonfield JK","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu390","created_at":"2021-09-30T08:28:07.208Z","updated_at":"2021-09-30T08:28:07.208Z"}],"licence_links":[],"grants":[{"id":5525,"fairsharing_record_id":357,"organisation_id":908,"relation":"funds","created_at":"2021-09-30T09:27:30.305Z","updated_at":"2021-09-30T09:27:30.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5526,"fairsharing_record_id":357,"organisation_id":1688,"relation":"maintains","created_at":"2021-09-30T09:27:30.347Z","updated_at":"2021-09-30T09:27:30.347Z","grant_id":null,"is_lead":false,"saved_state":{"id":1688,"name":"Large Scale Genomics Work Streams, Global Alliance for Genomics and Health (GA4GH)","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5527,"fairsharing_record_id":357,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:27:30.385Z","updated_at":"2021-09-30T09:29:00.067Z","grant_id":48,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"098051","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8031,"fairsharing_record_id":357,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:30:31.370Z","updated_at":"2021-09-30T09:30:31.432Z","grant_id":746,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"085532","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"358","type":"fairsharing_records","attributes":{"created_at":"2020-06-29T10:49:31.000Z","updated_at":"2022-07-20T13:20:40.477Z","metadata":{"doi":"10.25504/FAIRsharing.4d969b","name":"GeoJSON","status":"ready","contacts":[{"contact_name":"Sean Gillies","contact_email":"sean.gillies@gmail.com"}],"homepage":"https://geojson.org/","identifier":358,"description":"GeoJSON is a geospatial data interchange format based on JavaScript Object Notation (JSON). It defines several types of JSON objects and the manner in which they are combined to represent data about geographic features, their properties, and their spatial extents. In 2015, the Internet Engineering Task Force (IETF), in conjunction with the original specification authors, formed a GeoJSON WG to standardize GeoJSON. RFC 7946 was published in August 2016 and is the new standard specification of the GeoJSON format, replacing the 2008 GeoJSON specification.","abbreviation":"GeoJSON","support_links":[{"url":"https://en.wikipedia.org/wiki/GeoJSON","name":"GeoJSON Wikipedia Entry","type":"Wikipedia"}],"year_creation":2008},"legacy_ids":["bsg-001503","bsg-s001503"],"name":"FAIRsharing record for: GeoJSON","abbreviation":"GeoJSON","url":"https://fairsharing.org/10.25504/FAIRsharing.4d969b","doi":"10.25504/FAIRsharing.4d969b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeoJSON is a geospatial data interchange format based on JavaScript Object Notation (JSON). It defines several types of JSON objects and the manner in which they are combined to represent data about geographic features, their properties, and their spatial extents. In 2015, the Internet Engineering Task Force (IETF), in conjunction with the original specification authors, formed a GeoJSON WG to standardize GeoJSON. RFC 7946 was published in August 2016 and is the new standard specification of the GeoJSON format, replacing the 2008 GeoJSON specification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":1977,"relation":"undefined"},{"licence_name":"IETF Trust Legal Provisions (TLP)","licence_id":428,"licence_url":"https://trustee.ietf.org/trust-legal-provisions.html","link_id":1976,"relation":"undefined"}],"grants":[{"id":5528,"fairsharing_record_id":358,"organisation_id":1540,"relation":"maintains","created_at":"2021-09-30T09:27:30.423Z","updated_at":"2021-09-30T09:27:30.423Z","grant_id":null,"is_lead":true,"saved_state":{"id":1540,"name":"Internet Engineering Task Force GeoJSON Working Group (IETF GeoJSON WG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"359","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T11:02:02.537Z","metadata":{"doi":"10.25504/FAIRsharing.2ndf9r","name":"PLOS Thesaurus","status":"ready","contacts":[{"contact_name":"PLOS Taxonomy Team","contact_email":"taxonomy@plos.org","contact_orcid":null}],"homepage":"https://github.com/PLOS/plos-thesaurus","citations":[],"identifier":359,"description":"The PLOS Thesaurus includes over 10,000 Subject Area terms covering the wide range of research topics included the PLOS journals. The terms are applied programmatically to publications to aid record search and discovery.","abbreviation":"PLOSTHES","support_links":[],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PLOSTHES","name":"PLOSTHES","portal":"BioPortal"}]},"legacy_ids":["bsg-001016","bsg-s001016"],"name":"FAIRsharing record for: PLOS Thesaurus","abbreviation":"PLOSTHES","url":"https://fairsharing.org/10.25504/FAIRsharing.2ndf9r","doi":"10.25504/FAIRsharing.2ndf9r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PLOS Thesaurus includes over 10,000 Subject Area terms covering the wide range of research topics included the PLOS journals. The terms are applied programmatically to publications to aid record search and discovery.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Publication"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2530,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"333","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-01T11:57:30.911Z","metadata":{"doi":"10.25504/FAIRsharing.vgw1m6","name":"Neuroscience Information Framework Standard Ontology","status":"ready","contacts":[{"contact_name":"Tom Gillespie","contact_email":"tgbugs@gmail.com","contact_orcid":"0000-0002-7509-4801"}],"homepage":"http://ontology.neuinfo.org","citations":[],"identifier":333,"description":"NIF Standard ontology (NIFSTD) is a core component of Neuroscience Information Framework (NIF) project (http://neuinfo.org), a semantically enhanced portal for accessing and integrating neuroscience data, tools and information. NIFSTD includes a set of modular ontologies that provide a comprehensive collection of terminologies to describe neuroscience data and resources.","abbreviation":"NIFSTD","year_creation":2008,"associated_tools":[{"url":"https://github.com/tgbugs/pyontutils","name":"pyontutils"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFSTD","name":"NIFSTD","portal":"BioPortal"}]},"legacy_ids":["bsg-002628","bsg-s002628"],"name":"FAIRsharing record for: Neuroscience Information Framework Standard Ontology","abbreviation":"NIFSTD","url":"https://fairsharing.org/10.25504/FAIRsharing.vgw1m6","doi":"10.25504/FAIRsharing.vgw1m6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIF Standard ontology (NIFSTD) is a core component of Neuroscience Information Framework (NIF) project (http://neuinfo.org), a semantically enhanced portal for accessing and integrating neuroscience data, tools and information. NIFSTD includes a set of modular ontologies that provide a comprehensive collection of terminologies to describe neuroscience data and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","Worldwide"],"publications":[{"id":2620,"pubmed_id":18975148,"title":"The NIFSTD and BIRNLex vocabularies: building comprehensive ontologies for neuroscience.","year":2008,"url":"http://doi.org/10.1007/s12021-008-9032-z","authors":"Bug WJ,Ascoli GA,Grethe JS,Gupta A,Fennema-Notestine C,Laird AR,Larson SD,Rubin D,Shepherd GM,Turner JA,Martone ME","journal":"Neuroinformatics","doi":"10.1007/s12021-008-9032-z","created_at":"2021-09-30T08:27:21.653Z","updated_at":"2021-09-30T08:27:21.653Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1258,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"334","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-22T12:40:24.902Z","metadata":{"doi":"10.25504/FAIRsharing.c9v5sz","name":"Pathway Terminology System","status":"deprecated","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de"}],"homepage":"http://bioportal.bioontology.org/ontologies/PTS","citations":[],"identifier":334,"description":"Pathwas terminology systems integrates biological Events and various Pathway types.","abbreviation":"PTS","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PTS","name":"PTS","portal":"BioPortal"}],"deprecation_date":"2022-07-21","deprecation_reason":"This resource has not been updated since 2015, and the only additional project page we can find reference to (http://scai.fraunhofer.de/PTS) is unavailable."},"legacy_ids":["bsg-000993","bsg-s000993"],"name":"FAIRsharing record for: Pathway Terminology System","abbreviation":"PTS","url":"https://fairsharing.org/10.25504/FAIRsharing.c9v5sz","doi":"10.25504/FAIRsharing.c9v5sz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pathwas terminology systems integrates biological Events and various Pathway types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"335","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T18:45:39.000Z","updated_at":"2022-07-20T12:45:47.194Z","metadata":{"doi":"10.25504/FAIRsharing.esxaaq","name":"Directory Interchange Format","status":"ready","contacts":[{"contact_name":"ESDIS Standards Office","contact_email":"eso-staff@lists.nasa.gov"}],"homepage":"https://earthdata.nasa.gov/esdis/eso/standards-and-references/directory-interchange-format-dif-standard","identifier":335,"description":"Directory Interchange Format (DIF) is a descriptive and standardized format for exchanging information about geospatial data sets. It includes elements focusing on instruments that capture data, temporal and spatial characteristics of the data, and projects with which the dataset is associated. From its inception in the late 1980’s as a way to document and exchange information on scientific data to its implementation in NASA's Global Change Master Directory (GCMD), the DIF has evolved to serve the user community in the discovery, access and use of Earth science and related data. GCMD metadata records are now maintained in the Common Metadata Repository (CMR), and the DIF is one of several supported formats for submitting metadata to CMR. The DIF, the ECHO metadata model, and the ISO 19115 standards for science metadata formed the basis for NASA's Unified Metadata Model (UMM) used by CMR.","abbreviation":"DIF","support_links":[{"url":"https://git.earthdata.nasa.gov/projects/EMFD/repos/dif-schemas/browse/10.x/Brief%20Guide%20DIF%2010_10.2%20update.pdf","name":"User's Guide","type":"Help documentation"}],"year_creation":1987},"legacy_ids":["bsg-000711","bsg-s000711"],"name":"FAIRsharing record for: Directory Interchange Format","abbreviation":"DIF","url":"https://fairsharing.org/10.25504/FAIRsharing.esxaaq","doi":"10.25504/FAIRsharing.esxaaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Directory Interchange Format (DIF) is a descriptive and standardized format for exchanging information about geospatial data sets. It includes elements focusing on instruments that capture data, temporal and spatial characteristics of the data, and projects with which the dataset is associated. From its inception in the late 1980’s as a way to document and exchange information on scientific data to its implementation in NASA's Global Change Master Directory (GCMD), the DIF has evolved to serve the user community in the discovery, access and use of Earth science and related data. GCMD metadata records are now maintained in the Common Metadata Repository (CMR), and the DIF is one of several supported formats for submitting metadata to CMR. The DIF, the ECHO metadata model, and the ISO 19115 standards for science metadata formed the basis for NASA's Unified Metadata Model (UMM) used by CMR.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Natural Science","Earth Science","Atmospheric Science","Oceanography"],"domains":["Resource metadata","Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5497,"fairsharing_record_id":335,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:27:29.407Z","updated_at":"2021-09-30T09:27:29.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5498,"fairsharing_record_id":335,"organisation_id":808,"relation":"maintains","created_at":"2021-09-30T09:27:29.433Z","updated_at":"2021-09-30T09:27:29.433Z","grant_id":null,"is_lead":true,"saved_state":{"id":808,"name":"Earth Science Data and Information System Project (ESDIS), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"527","type":"fairsharing_records","attributes":{"created_at":"2015-11-17T18:06:25.000Z","updated_at":"2022-07-20T09:33:04.041Z","metadata":{"doi":"10.25504/FAIRsharing.27w8k0","name":"The Unified Code for Units of Measure","status":"ready","contacts":[{"contact_name":"Gunther Schadow","contact_email":"schadow_g@regenstrief.iupui.edu"}],"homepage":"https://ucum.org/trac","citations":[],"identifier":527,"description":"The Unified Code for Units of Measure is a code system intended to include all units of measures being contemporarily used in international science, engineering, and business. The purpose is to facilitate unambiguous electronic communication of quantities together with their units. The focus is on electronic communication, as opposed to communication between humans. A typical application of The Unified Code for Units of Measure are electronic data interchange (EDI) protocols, but there is nothing that prevents it from being used in other types of machine communication.","abbreviation":"UCUM","support_links":[{"url":"https://ucum.nlm.nih.gov/example-UCUM-Codes-v1.4.pdf","name":"Examples of UCUM Codes","type":"Help documentation"}],"year_creation":1999,"associated_tools":[{"url":"https://ucum.nlm.nih.gov/ucum-lhc/","name":"ucum-lhc Javascript Library (NLM)"}]},"legacy_ids":["bsg-000626","bsg-s000626"],"name":"FAIRsharing record for: The Unified Code for Units of Measure","abbreviation":"UCUM","url":"https://fairsharing.org/10.25504/FAIRsharing.27w8k0","doi":"10.25504/FAIRsharing.27w8k0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Unified Code for Units of Measure is a code system intended to include all units of measures being contemporarily used in international science, engineering, and business. The purpose is to facilitate unambiguous electronic communication of quantities together with their units. The focus is on electronic communication, as opposed to communication between humans. A typical application of The Unified Code for Units of Measure are electronic data interchange (EDI) protocols, but there is nothing that prevents it from being used in other types of machine communication.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17501},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11034},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16990}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Data identity and mapping","Unit","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":858,"pubmed_id":10094068,"title":"Units of measure in clinical information systems.","year":1999,"url":"http://doi.org/10.1136/jamia.1999.0060151","authors":"Schadow G,McDonald CJ,Suico JG,Fohring U,Tolxdorff T","journal":"J Am Med Inform Assoc","doi":"10.1136/jamia.1999.0060151","created_at":"2021-09-30T08:23:54.798Z","updated_at":"2021-09-30T08:23:54.798Z"}],"licence_links":[{"licence_name":"UCUM Copyright Notice and License","licence_id":804,"licence_url":"https://ucum.org/trac/wiki/TermsOfUse","link_id":709,"relation":"undefined"}],"grants":[{"id":5818,"fairsharing_record_id":527,"organisation_id":2414,"relation":"maintains","created_at":"2021-09-30T09:27:40.052Z","updated_at":"2021-09-30T09:27:40.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2414,"name":"Regenstrief Institute, Inc, Indianapolis, Indiana, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5819,"fairsharing_record_id":527,"organisation_id":2843,"relation":"maintains","created_at":"2021-09-30T09:27:40.088Z","updated_at":"2022-05-23T12:15:25.210Z","grant_id":null,"is_lead":true,"saved_state":{"id":2843,"name":"The Unified Codes for Units of Measures Organization","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"528","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:18.000Z","updated_at":"2023-03-24T09:48:22.065Z","metadata":{"doi":"10.25504/FAIRsharing.yDJci5","name":"FAIR Metrics - Access Protocol","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://raw.githubusercontent.com/FAIRMetrics/Metrics/master/FM_A1.1","citations":[],"identifier":528,"description":"FM-A1.1 provides a metric for the nature and use limitations of the access protocol. Access to a resource may be limited by the specified communication protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource. To fulfil this metric, the following must be provided: i) A URL to the description of the protocol, ii) true/false as to whether the protocol is open source, iii) true/false as to whether the protocol is (royalty) free. This metric applies to part A1.1 of the FAIR Principles.","abbreviation":"FM-A1.1","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001347","bsg-s001347"],"name":"FAIRsharing record for: FAIR Metrics - Access Protocol","abbreviation":"FM-A1.1","url":"https://fairsharing.org/10.25504/FAIRsharing.yDJci5","doi":"10.25504/FAIRsharing.yDJci5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-A1.1 provides a metric for the nature and use limitations of the access protocol. Access to a resource may be limited by the specified communication protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource. To fulfil this metric, the following must be provided: i) A URL to the description of the protocol, ii) true/false as to whether the protocol is open source, iii) true/false as to whether the protocol is (royalty) free. This metric applies to part A1.1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1403,"relation":"undefined"}],"grants":[{"id":5822,"fairsharing_record_id":528,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:40.180Z","updated_at":"2021-09-30T09:27:40.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5820,"fairsharing_record_id":528,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:40.125Z","updated_at":"2021-09-30T09:27:40.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5821,"fairsharing_record_id":528,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:40.154Z","updated_at":"2021-09-30T09:27:40.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5823,"fairsharing_record_id":528,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:40.203Z","updated_at":"2021-09-30T09:27:40.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"529","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-08-30T19:47:50.593Z","metadata":{"doi":"10.25504/FAIRsharing.mgxgza","name":"Ctenophore Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/ctenophore-ontology","citations":[],"identifier":529,"description":"An anatomical and developmental ontology for ctenophores (Comb Jellies). Please note that, while available, this ontology has not been updated since 2016.","abbreviation":"CTENO","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTENO","name":"CTENO","portal":"BioPortal"},{"url":"https://github.com/obophenotype/ctenophore-ontology","name":"OBO Foundry - cteno","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000748","bsg-s000748"],"name":"FAIRsharing record for: Ctenophore Ontology","abbreviation":"CTENO","url":"https://fairsharing.org/10.25504/FAIRsharing.mgxgza","doi":"10.25504/FAIRsharing.mgxgza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An anatomical and developmental ontology for ctenophores (Comb Jellies). Please note that, while available, this ontology has not been updated since 2016.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":[],"taxonomies":["Ctenophora"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2773,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"531","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:08.518Z","metadata":{"doi":"10.25504/FAIRsharing.jmg2st","name":"Neuroscience Information Framework Cell","status":"ready","contacts":[{"contact_name":"Fahim Imam","contact_email":"curation@neuinfo.org"}],"homepage":"https://neuinfo.org/about/nifvocabularies","identifier":531,"description":"NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources.","abbreviation":"NIFCELL","support_links":[{"url":"http://blog.neuinfo.org","type":"Blog/News"},{"url":"https://neuinfo.org/about/help/401","type":"Frequently Asked Questions (FAQs)"},{"url":"https://neuinfo.org","type":"Help documentation"},{"url":"https://twitter.com/neuinfo","type":"Twitter"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFCELL","name":"NIFCELL","portal":"BioPortal"}]},"legacy_ids":["bsg-000124","bsg-s000124"],"name":"FAIRsharing record for: Neuroscience Information Framework Cell","abbreviation":"NIFCELL","url":"https://fairsharing.org/10.25504/FAIRsharing.jmg2st","doi":"10.25504/FAIRsharing.jmg2st","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Life Science","Neuroscience"],"domains":["Cell","Neuron","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5825,"fairsharing_record_id":531,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:40.261Z","updated_at":"2021-09-30T09:27:40.261Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5826,"fairsharing_record_id":531,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:40.286Z","updated_at":"2021-09-30T09:27:40.286Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11532,"fairsharing_record_id":531,"organisation_id":2144,"relation":"maintains","created_at":"2024-03-21T13:58:08.456Z","updated_at":"2024-03-21T13:58:08.456Z","grant_id":null,"is_lead":false,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"532","type":"fairsharing_records","attributes":{"created_at":"2016-01-25T02:38:46.000Z","updated_at":"2024-01-23T13:00:12.260Z","metadata":{"doi":"10.25504/FAIRsharing.y3mwym","name":"Numerical Markup Language","status":"ready","contacts":[{"contact_name":"NuML discussion group","contact_email":"numl-discuss@googlegroups.com"}],"homepage":"https://github.com/numl/numl","identifier":532,"description":"The Numerical Markup Language (NuML) (pronounce \"neumeul\" and not \"new em el\", that sounds like NewML) is a simple XML format to exchange multidimensional arrays of numbers to be used with model and simulation descriptions. NuML was initially developed as part of the Systems Biology Results Markup Language (SBRML).","abbreviation":"NuML","support_links":[{"url":"http://groups.google.com/group/numl-discuss/","name":"Discussion Mailing List","type":"Mailing list"}],"year_creation":2011,"associated_tools":[{"url":"https://github.com/NuML/NuML/tree/master/libnuml","name":"libNUML"}]},"legacy_ids":["bsg-000638","bsg-s000638"],"name":"FAIRsharing record for: Numerical Markup Language","abbreviation":"NuML","url":"https://fairsharing.org/10.25504/FAIRsharing.y3mwym","doi":"10.25504/FAIRsharing.y3mwym","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Numerical Markup Language (NuML) (pronounce \"neumeul\" and not \"new em el\", that sounds like NewML) is a simple XML format to exchange multidimensional arrays of numbers to be used with model and simulation descriptions. NuML was initially developed as part of the Systems Biology Results Markup Language (SBRML).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12064},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16942}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Biology","Computer Science","Systems Biology"],"domains":["Mathematical model","Reaction data","Kinetic model","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":11205,"fairsharing_record_id":532,"organisation_id":584,"relation":"associated_with","created_at":"2024-01-15T09:26:16.841Z","updated_at":"2024-01-15T09:26:16.841Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11206,"fairsharing_record_id":532,"organisation_id":2539,"relation":"maintains","created_at":"2024-01-15T09:26:16.851Z","updated_at":"2024-01-15T09:26:16.851Z","grant_id":null,"is_lead":true,"saved_state":{"id":2539,"name":"SED-ML editors","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"512","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-30T13:57:42.296Z","metadata":{"doi":"10.25504/FAIRsharing.6hna78","name":"Exposure Ontology","status":"ready","contacts":[{"contact_name":"Anne Thessen","contact_email":"annethessen@gmail.com","contact_orcid":null}],"homepage":"https://github.com/CTDbase/exposure-ontology","citations":[],"identifier":512,"description":"Exposure Ontology (ExO) is designed to facilitate the centralization and integration of exposure data to inform understanding of environmental health. ExO is intended to bridge the gap between exposure science and diverse environmental health disciplines including toxicology, epidemiology, disease surveillance, and epigenetics.","abbreviation":"ExO","support_links":[{"url":"https://github.com/CTDbase/exposure-ontology","name":"GitHub repository","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EXO","name":"EXO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/exo.html","name":"exo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002707","bsg-s002707"],"name":"FAIRsharing record for: Exposure Ontology","abbreviation":"ExO","url":"https://fairsharing.org/10.25504/FAIRsharing.6hna78","doi":"10.25504/FAIRsharing.6hna78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Exposure Ontology (ExO) is designed to facilitate the centralization and integration of exposure data to inform understanding of environmental health. ExO is intended to bridge the gap between exposure science and diverse environmental health disciplines including toxicology, epidemiology, disease surveillance, and epigenetics.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10855}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Epigenetics","Toxicology"],"domains":["Disease","Exposure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":898,"pubmed_id":22324457,"title":"Providing the missing link: the exposure science ontology ExO.","year":2012,"url":"http://doi.org/10.1021/es2033857","authors":"Mattingly CJ,McKone TE,Callahan MA,Blake JA,Hubal EA","journal":"Environ Sci Technol","doi":"10.1021/es2033857","created_at":"2021-09-30T08:23:59.221Z","updated_at":"2021-09-30T08:23:59.221Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3615,"relation":"applies_to_content"}],"grants":[{"id":5776,"fairsharing_record_id":512,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:38.752Z","updated_at":"2021-09-30T09:27:38.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11755,"fairsharing_record_id":512,"organisation_id":4358,"relation":"maintains","created_at":"2024-04-30T13:53:41.645Z","updated_at":"2024-04-30T13:53:41.645Z","grant_id":null,"is_lead":true,"saved_state":{"id":4358,"name":"North Carolina State University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"513","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2023-02-28T10:00:47.105Z","metadata":{"doi":"10.25504/FAIRsharing.j0fa1d","name":"Mouse Developmental Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Terry Hamayizu","contact_email":"Terry.Hayamizu@jax.org"}],"homepage":"https://www.informatics.jax.org/vocab/gxd/anatomy","citations":[],"identifier":513,"description":"The ontology of mouse developmental anatomy was originally developed by Jonathan Bard and his colleagues as part of the Edinburgh Mouse Atlas Project (EMAP) in order to provide a structured controlled vocabulary of stage-specific anatomical structures for the developing laboratory mouse.\n\nInitial versions listed anatomical entities for each developmental stage (Theiler Stages 1 through 26) separately. Stage-specific instances were presented as uniparental hierarchies organized solely using part-of relationships (i.e. as a strict partonomy). An ‘abstract’ (i.e. non-stage-specific) representation of the mouse developmental anatomy ontology was subsequently developed.\n\nThe mouse developmental anatomy ontology has been substantially extended and refined over many years in a collaborative effort between EMAP and the Gene Expression Database (GXD) project, part of the Mouse Genome Informatics (MGI) resource at The Jackson Laboratory. The ontology continues to be maintained and expanded by GXD.","abbreviation":"EMAPA","support_links":[{"url":"https://github.com/obophenotype/mouse-anatomy-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EMAPA","name":"EMAPA","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/emapa.html","name":"EMAPA in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000738","bsg-s000738"],"name":"FAIRsharing record for: Mouse Developmental Anatomy Ontology","abbreviation":"EMAPA","url":"https://fairsharing.org/10.25504/FAIRsharing.j0fa1d","doi":"10.25504/FAIRsharing.j0fa1d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of mouse developmental anatomy was originally developed by Jonathan Bard and his colleagues as part of the Edinburgh Mouse Atlas Project (EMAP) in order to provide a structured controlled vocabulary of stage-specific anatomical structures for the developing laboratory mouse.\n\nInitial versions listed anatomical entities for each developmental stage (Theiler Stages 1 through 26) separately. Stage-specific instances were presented as uniparental hierarchies organized solely using part-of relationships (i.e. as a strict partonomy). An ‘abstract’ (i.e. non-stage-specific) representation of the mouse developmental anatomy ontology was subsequently developed.\n\nThe mouse developmental anatomy ontology has been substantially extended and refined over many years in a collaborative effort between EMAP and the Gene Expression Database (GXD) project, part of the Mouse Genome Informatics (MGI) resource at The Jackson Laboratory. The ontology continues to be maintained and expanded by GXD.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":[],"taxonomies":["Mus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2653,"pubmed_id":23972281,"title":"EMAP/EMAPA ontology of mouse developmental anatomy: 2013 update.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-15","authors":"Hayamizu TF,Wicks MN,Davidson DR,Burger A,Ringwald M,Baldock RA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-15","created_at":"2021-09-30T08:27:25.797Z","updated_at":"2021-09-30T08:27:25.797Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3097,"relation":"applies_to_content"}],"grants":[{"id":10367,"fairsharing_record_id":513,"organisation_id":2792,"relation":"maintains","created_at":"2023-02-21T09:40:07.255Z","updated_at":"2023-02-21T09:40:07.255Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"514","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-01-07T20:53:38.699Z","metadata":{"doi":"10.25504/FAIRsharing.d62cjk","name":"Bilingual Ontology of Alzheimer's Disease and Related Diseases","status":"deprecated","contacts":[],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOAD","citations":[],"identifier":514,"description":"OntoAD is a bilingual (English-French) domain ontology for modeling knowledge about Alzheimer's Disease and Related Syndromes.","abbreviation":"ONTOAD","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOAD","name":"ONTOAD","portal":"BioPortal"}],"deprecation_date":"2022-01-07","deprecation_reason":"This resource has not been updated since 2013, and an active homepage cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000739","bsg-s000739"],"name":"FAIRsharing record for: Bilingual Ontology of Alzheimer's Disease and Related Diseases","abbreviation":"ONTOAD","url":"https://fairsharing.org/10.25504/FAIRsharing.d62cjk","doi":"10.25504/FAIRsharing.d62cjk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoAD is a bilingual (English-French) domain ontology for modeling knowledge about Alzheimer's Disease and Related Syndromes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Alzheimer’s disease"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"515","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-01-28T16:50:28.448Z","metadata":{"doi":"10.25504/FAIRsharing.vekcbe","name":"HIVOntologymain.owl","status":"deprecated","contacts":[{"contact_name":"Hanfei Bao","contact_email":"hanfeib@gmail.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/HIVO004","citations":[],"identifier":515,"description":"This ontology does not appear to have a project homepage, and complete metadata cannot be found. Please get in touch with us if you have any information.","abbreviation":"HIVO004","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HIVO004","name":"HIVO004","portal":"BioPortal"}],"deprecation_date":"2022-01-21","deprecation_reason":"This ontology does not appear to have a project homepage, and complete metadata cannot be found."},"legacy_ids":["bsg-000740","bsg-s000740"],"name":"FAIRsharing record for: HIVOntologymain.owl","abbreviation":"HIVO004","url":"https://fairsharing.org/10.25504/FAIRsharing.vekcbe","doi":"10.25504/FAIRsharing.vekcbe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology does not appear to have a project homepage, and complete metadata cannot be found. Please get in touch with us if you have any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine","Virology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"516","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:56.517Z","metadata":{"doi":"10.25504/FAIRsharing.294d6","name":"Graph Markup Language","status":"ready","contacts":[{"contact_name":"Ulrik Brandes","contact_email":"Ulrik.Brandes@uni-konstanz.de"}],"homepage":"http://graphml.graphdrawing.org/specification.html","identifier":516,"description":"GraphML is a comprehensive and easy-to-use file format for graphs. It consists of a language core to describe the structural properties of a graph and a flexible extension mechanism to add application-specific data.","abbreviation":"graphML","support_links":[{"url":"http://graphml.graphdrawing.org/primer/graphml-primer.html","name":"GraphML Primer","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-000286","bsg-s000286"],"name":"FAIRsharing record for: Graph Markup Language","abbreviation":"graphML","url":"https://fairsharing.org/10.25504/FAIRsharing.294d6","doi":"10.25504/FAIRsharing.294d6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GraphML is a comprehensive and easy-to-use file format for graphs. It consists of a language core to describe the structural properties of a graph and a flexible extension mechanism to add application-specific data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Graph"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":833,"relation":"undefined"}],"grants":[{"id":5778,"fairsharing_record_id":516,"organisation_id":1200,"relation":"maintains","created_at":"2021-09-30T09:27:38.801Z","updated_at":"2021-09-30T09:27:38.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":1200,"name":"GraphML Project Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"533","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:18:04.000Z","updated_at":"2022-11-01T11:57:55.414Z","metadata":{"doi":"10.25504/FAIRsharing.fsB7NK","name":"FAIR Metrics - Accessible Usage License","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_R1.1","citations":[],"identifier":533,"description":"FM-R1.1 is a metric concerned with the existence of a license document, for BOTH (independently) the data and its associated metadata, and the ability to retrieve those documents. A core aspect of data reusability is the ability to determine, unambiguously and with relative ease, the conditions under which (meta)data may be reused. Thus, FAIR data providers must make these terms openly available. This applies both to data (e.g. for the purpose of third-party integration with other data) and for metadata (e.g. for the purpose of third-party indexing or other administrative metrics). The IRI of the license (e.g. its URL) for the data license and for the metadata license must be provided. This metric applies to part R1.1 of the FAIR Principles.","abbreviation":"FM-R1.1","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001353","bsg-s001353"],"name":"FAIRsharing record for: FAIR Metrics - Accessible Usage License","abbreviation":"FM-R1.1","url":"https://fairsharing.org/10.25504/FAIRsharing.fsB7NK","doi":"10.25504/FAIRsharing.fsB7NK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-R1.1 is a metric concerned with the existence of a license document, for BOTH (independently) the data and its associated metadata, and the ability to retrieve those documents. A core aspect of data reusability is the ability to determine, unambiguously and with relative ease, the conditions under which (meta)data may be reused. Thus, FAIR data providers must make these terms openly available. This applies both to data (e.g. for the purpose of third-party integration with other data) and for metadata (e.g. for the purpose of third-party indexing or other administrative metrics). The IRI of the license (e.g. its URL) for the data license and for the metadata license must be provided. This metric applies to part R1.1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1404,"relation":"undefined"}],"grants":[{"id":5828,"fairsharing_record_id":533,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:40.338Z","updated_at":"2021-09-30T09:27:40.338Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5827,"fairsharing_record_id":533,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:40.313Z","updated_at":"2021-09-30T09:27:40.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5829,"fairsharing_record_id":533,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:40.362Z","updated_at":"2021-09-30T09:27:40.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5830,"fairsharing_record_id":533,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:40.387Z","updated_at":"2021-09-30T09:27:40.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"535","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-17T09:07:05.975Z","metadata":{"doi":"10.25504/FAIRsharing.vppyga","name":"Non-coding RNA Ontology","status":"ready","contacts":[{"contact_name":"Jingshan Huang","contact_email":"huang@southalabama.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/NCRO","citations":[],"identifier":535,"description":"The NCRO is a reference ontology in the non-coding RNA (ncRNA) field, aiming to provide a common set of terms and relations that will facilitate the curation, analysis, exchange, sharing, and management of ncRNA structural, functional, and sequence data.","abbreviation":"NCRO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCRO","name":"Bioportal: NCRO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/ncro","name":"OLS: ncro","portal":"OLS"}]},"legacy_ids":["bsg-000752","bsg-s000752"],"name":"FAIRsharing record for: Non-coding RNA Ontology","abbreviation":"NCRO","url":"https://fairsharing.org/10.25504/FAIRsharing.vppyga","doi":"10.25504/FAIRsharing.vppyga","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCRO is a reference ontology in the non-coding RNA (ncRNA) field, aiming to provide a common set of terms and relations that will facilitate the curation, analysis, exchange, sharing, and management of ncRNA structural, functional, and sequence data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Non-coding RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3803,"pubmed_id":null,"title":"The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology","year":2016,"url":"http://dx.doi.org/10.1186/s13326-016-0066-0","authors":"Huang, Jingshan; Eilbeck, Karen; Smith, Barry; Blake, Judith A.; Dou, Dejing; Huang, Weili; Natale, Darren A.; Ruttenberg, Alan; Huan, Jun; Zimmermann, Michael T.; Jiang, Guoqian; Lin, Yu; Wu, Bin; Strachan, Harrison J.; He, Yongqun; Zhang, Shaojie; Wang, Xiaowei; Liu, Zixing; Borchert, Glen M.; Tan, Ming; ","journal":"J Biomed Semant","doi":"10.1186/s13326-016-0066-0","created_at":"2023-03-17T09:03:42.976Z","updated_at":"2023-03-17T09:03:42.976Z"}],"licence_links":[],"grants":[{"id":10425,"fairsharing_record_id":535,"organisation_id":3121,"relation":"undefined","created_at":"2023-03-17T09:04:35.617Z","updated_at":"2023-03-17T09:04:35.617Z","grant_id":null,"is_lead":false,"saved_state":{"id":3121,"name":"University of South Alabama, USA","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"536","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-01-06T10:27:01.172Z","metadata":{"doi":"10.25504/FAIRsharing.gd8hqn","name":"Molgula occidentalis Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself.communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"http://www.aniseed.cnrs.fr/","citations":[],"identifier":536,"description":"The first ontology describing the anatomy and the development of Molgula occidentalis.","abbreviation":"MOOCCIADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOOCCIADO","name":"MOOCCIADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000753","bsg-s000753"],"name":"FAIRsharing record for: Molgula occidentalis Anatomy and Development Ontology","abbreviation":"MOOCCIADO","url":"https://fairsharing.org/10.25504/FAIRsharing.gd8hqn","doi":"10.25504/FAIRsharing.gd8hqn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Molgula occidentalis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Molgula occidentalis"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"537","type":"fairsharing_records","attributes":{"created_at":"2021-01-22T11:15:13.000Z","updated_at":"2022-07-20T12:22:08.024Z","metadata":{"name":"Ontology of the amphioxus anatomy and life cycle","status":"in_development","contacts":[{"contact_name":"Hector Escriva","contact_email":"hector.escriva@obs-banyuls.fr","contact_orcid":"0000-0001-7577-5028"}],"homepage":"https://github.com/EBISPOT/amphx_ontology","identifier":537,"description":"The ontology of the amphioxus anatomy and life cycle is the first ontology for the development and anatomy of Amphioxus (Branchiostoma lanceolatum).","abbreviation":"AMPHX","year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AMPHX","name":"AMPHX","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/amphx.html","name":"amphx","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001582","bsg-s001582"],"name":"FAIRsharing record for: Ontology of the amphioxus anatomy and life cycle","abbreviation":"AMPHX","url":"https://fairsharing.org/fairsharing_records/537","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of the amphioxus anatomy and life cycle is the first ontology for the development and anatomy of Amphioxus (Branchiostoma lanceolatum).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Branchiostoma lanceolatum"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":5831,"fairsharing_record_id":537,"organisation_id":261,"relation":"maintains","created_at":"2021-09-30T09:27:40.413Z","updated_at":"2021-09-30T09:27:40.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":261,"name":"Biologie Intégrative des Organismes Marins, Observatoire Océanologique, CNRS, Banyuls-sur-Mer, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"507","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:27.000Z","updated_at":"2024-03-21T13:58:59.978Z","metadata":{"doi":"10.25504/FAIRsharing.vnfaxd","name":"LINCS Pilot Phase 1 Metadata Standards: Other Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":507,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories.","abbreviation":"LINCS 1: Other Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_OtherReagents_Metadata_Release_Nov-07-12.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Other Reagents standard (https://biosharing.org/bsg-s000658) and as such has been superseded by this standard."},"legacy_ids":["bsg-000661","bsg-s000661"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Other Reagents","abbreviation":"LINCS 1: Other Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.vnfaxd","doi":"10.25504/FAIRsharing.vnfaxd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11895}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5769,"fairsharing_record_id":507,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.473Z","updated_at":"2021-09-30T09:27:38.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11567,"fairsharing_record_id":507,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:59.895Z","updated_at":"2024-03-21T13:58:59.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"508","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:42.000Z","updated_at":"2024-03-21T13:59:00.327Z","metadata":{"doi":"10.25504/FAIRsharing.5gw25t","name":"LINCS Pilot Phase 1 Metadata Standards: Protein Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":508,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. A standardized description of protein reagents is critical to link results of different LINCS assay types.","abbreviation":"LINCS 1: Protein Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_ProteinReagents_Metadata_Release_Jul-31-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Protein Reagents standard (https://biosharing.org/bsg-s000656) and as such has been superseded by this standard."},"legacy_ids":["bsg-000666","bsg-s000666"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Protein Reagents","abbreviation":"LINCS 1: Protein Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.5gw25t","doi":"10.25504/FAIRsharing.5gw25t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. A standardized description of protein reagents is critical to link results of different LINCS assay types.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11894}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5771,"fairsharing_record_id":508,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.548Z","updated_at":"2021-09-30T09:27:38.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11568,"fairsharing_record_id":508,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:00.157Z","updated_at":"2024-03-21T13:59:00.157Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"509","type":"fairsharing_records","attributes":{"created_at":"2021-01-11T11:46:38.000Z","updated_at":"2022-07-20T09:36:05.214Z","metadata":{"doi":"10.25504/FAIRsharing.db1fb2","name":"Observations Data Model 2 Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Jeffery S. Horsburgh","contact_email":"jeff.horsburgh@usu.edu"}],"homepage":"http://vocabulary.odm2.org/","citations":[],"identifier":509,"description":"Version 2 of the Observations Data Model (ODM2) has several controlled vocabularies. This web page was developed to promote consistency between different instances of ODM2 through a community moderated system for managing the master controlled vocabularies. This web page displays the master controlled vocabulary entries and allows you to request additions or changes to these. You may then use these terms in an ODM2 database or in files that are intended to be interoperable with ODM2.","abbreviation":"ODM2 CV","support_links":[{"url":"https://github.com/ODM2/ODM2ControlledVocabularies","name":"GitHub Project","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-001574","bsg-s001574"],"name":"FAIRsharing record for: Observations Data Model 2 Controlled Vocabulary","abbreviation":"ODM2 CV","url":"https://fairsharing.org/10.25504/FAIRsharing.db1fb2","doi":"10.25504/FAIRsharing.db1fb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Version 2 of the Observations Data Model (ODM2) has several controlled vocabularies. This web page was developed to promote consistency between different instances of ODM2 through a community moderated system for managing the master controlled vocabularies. This web page displays the master controlled vocabulary entries and allows you to request additions or changes to these. You may then use these terms in an ODM2 database or in files that are intended to be interoperable with ODM2.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12132}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geochemistry","Hydrogeology","Geology","Biodiversity","Oceanography","Hydrology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5772,"fairsharing_record_id":509,"organisation_id":2225,"relation":"maintains","created_at":"2021-09-30T09:27:38.587Z","updated_at":"2021-09-30T09:27:38.587Z","grant_id":null,"is_lead":true,"saved_state":{"id":2225,"name":"ODM2 Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5773,"fairsharing_record_id":509,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:38.618Z","updated_at":"2021-09-30T09:31:34.727Z","grant_id":1233,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1332257","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8450,"fairsharing_record_id":509,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:41.534Z","updated_at":"2021-09-30T09:32:41.581Z","grant_id":1735,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1224638","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"510","type":"fairsharing_records","attributes":{"created_at":"2020-05-28T09:48:41.000Z","updated_at":"2022-07-20T12:22:07.535Z","metadata":{"doi":"10.25504/FAIRsharing.pyhdJS","name":"BioTopLite 2","status":"ready","contacts":[{"contact_name":"Stefan Schulz","contact_email":"stefan.schulz@medunigraz.at"}],"homepage":"http://biotopontology.github.io/","citations":[{"publication_id":990}],"identifier":510,"description":"BioTopLite 2 (BTL2) is a simplified, high-level version of BioTop, a top-domain ontology that provides definitions for the foundational entities of biomedicine. BioTop imports BTL2 as its upper-level ontology.","abbreviation":"BTL2","support_links":[{"url":"https://github.com/BioTopOntology/biotop/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-001486","bsg-s001486"],"name":"FAIRsharing record for: BioTopLite 2","abbreviation":"BTL2","url":"https://fairsharing.org/10.25504/FAIRsharing.pyhdJS","doi":"10.25504/FAIRsharing.pyhdJS","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioTopLite 2 (BTL2) is a simplified, high-level version of BioTop, a top-domain ontology that provides definitions for the foundational entities of biomedicine. BioTop imports BTL2 as its upper-level ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":990,"pubmed_id":null,"title":"BioTopLite: An Upper Level Ontology for the Life Sciences. Evolution, Design and Application","year":2013,"url":"http://biotopontology.github.io/papers/Schulz,%20Boeker%20-%202013%20-%20BioTopLite%20An%20Upper%20Level%20Ontology%20for%20the%20Life%20Sciences.%20Evolution,%20Design%20and%20Application.pdf","authors":"Stefan Schulz, Martin Boeker","journal":"Furbach U, Staab S, eds. Informatik 2013. Koblenz: IOS Press; 2013.","doi":null,"created_at":"2021-09-30T08:24:09.580Z","updated_at":"2021-09-30T08:24:09.580Z"},{"id":2982,"pubmed_id":28423831,"title":"The BioTop Family of Upper Level Ontological Resources for Biomedicine.","year":2017,"url":"https://www.ncbi.nlm.nih.gov/pubmed/28423831","authors":"Schulz S,Boeker M,Martinez-Costa C","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:28:07.441Z","updated_at":"2021-09-30T08:28:07.441Z"}],"licence_links":[],"grants":[{"id":5774,"fairsharing_record_id":510,"organisation_id":1386,"relation":"maintains","created_at":"2021-09-30T09:27:38.682Z","updated_at":"2021-09-30T09:27:38.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":1386,"name":"Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5775,"fairsharing_record_id":510,"organisation_id":722,"relation":"maintains","created_at":"2021-09-30T09:27:38.720Z","updated_at":"2021-09-30T09:27:38.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":722,"name":"Department of Medical Biometry and Medical Informatics, University of Freiburg, Freiburg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"511","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-01-05T14:18:54.365Z","metadata":{"doi":"10.25504/FAIRsharing.xmmsmr","name":"Epigenome Ontology","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunhe@med.umich.edu"}],"homepage":"https://github.com/EGO-ontology","citations":[],"identifier":511,"description":"The Epigenome Ontology (EGO) a biomedical ontology for integrative epigenome knowledge representation and data analysis.","abbreviation":"EGO","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EGO","name":"EGO","portal":"BioPortal"}]},"legacy_ids":["bsg-000735","bsg-s000735"],"name":"FAIRsharing record for: Epigenome Ontology","abbreviation":"EGO","url":"https://fairsharing.org/10.25504/FAIRsharing.xmmsmr","doi":"10.25504/FAIRsharing.xmmsmr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epigenome Ontology (EGO) a biomedical ontology for integrative epigenome knowledge representation and data analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Epigenomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2548,"relation":"applies_to_content"}],"grants":[{"id":8670,"fairsharing_record_id":511,"organisation_id":1230,"relation":"maintains","created_at":"2022-01-05T14:08:10.127Z","updated_at":"2022-01-05T14:08:10.127Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"519","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-12-23T08:40:57.631Z","metadata":{"doi":"10.25504/FAIRsharing.hw5gr6","name":"Regional Healthcare System Interoperability and Information Exchange Measurement Ontology","status":"ready","contacts":[{"contact_name":"Lingkai Zhu","contact_email":"l49zhu@uwaterloo.ca"}],"homepage":"http://bioportal.bioontology.org/ontologies/HEIO","citations":[],"identifier":519,"description":"The purpose of this ontology is to develop a model for regional healthcare system interoperability and information exchange quantification (measured by the electronic health information exchange (eHIE) indicator). The eHIE is hypothesized as a leading measure of regional healthcare system integration. A publication associated with this ontology is currently under review.","abbreviation":"HEIO","support_links":[{"url":"jmcmurray@wlu.ca","name":"Josephine McMurray","type":"Support email"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HEIO","name":"HEIO","portal":"BioPortal"}]},"legacy_ids":["bsg-000734","bsg-s000734"],"name":"FAIRsharing record for: Regional Healthcare System Interoperability and Information Exchange Measurement Ontology","abbreviation":"HEIO","url":"https://fairsharing.org/10.25504/FAIRsharing.hw5gr6","doi":"10.25504/FAIRsharing.hw5gr6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of this ontology is to develop a model for regional healthcare system interoperability and information exchange quantification (measured by the electronic health information exchange (eHIE) indicator). The eHIE is hypothesized as a leading measure of regional healthcare system integration. A publication associated with this ontology is currently under review.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Data Management","Medical Informatics"],"domains":["Hospital"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"520","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:38.059Z","metadata":{"doi":"10.25504/FAIRsharing.8eh6er","name":"Minimal Information for Mouse Phenotyping Procedures","status":"in_development","contacts":[{"contact_name":"IMPC","contact_email":"wranglers@mousephenotype.org"}],"homepage":"http://www.mousephenotype.org/impress","identifier":520,"description":"MIMPP is a reporting guideline for the minimum information that should be reported about a mouse phenotyping procedure to enable unambiguous interpretation and comparison of the data and to allow the data to be shared through communal resources.","abbreviation":"MIMPP","year_creation":2007},"legacy_ids":["bsg-000192","bsg-s000192"],"name":"FAIRsharing record for: Minimal Information for Mouse Phenotyping Procedures","abbreviation":"MIMPP","url":"https://fairsharing.org/10.25504/FAIRsharing.8eh6er","doi":"10.25504/FAIRsharing.8eh6er","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIMPP is a reporting guideline for the minimum information that should be reported about a mouse phenotyping procedure to enable unambiguous interpretation and comparison of the data and to allow the data to be shared through communal resources.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11605},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12107}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Assay","Phenotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2502,"pubmed_id":17436037,"title":"Mouse Phenotype Database Integration Consortium: integration [corrected] of mouse phenome data resources.","year":2007,"url":"http://doi.org/10.1007/s00335-007-9004-x","authors":"Hancock JM,Adams NC,Aidinis V,Blake A,Bogue M,Brown SD,Chesler EJ,Davidson D,Duran C,Eppig JT,Gailus-Durner V,Gates H,Gkoutos GV,Greenaway S,Hrabe de Angelis M,Kollias G,Leblanc S,Lee K,Lengger C,Maier H,Mallon AM,Masuya H,Melvin DG,Muller W,Parkinson H,Proctor G,Reuveni E,Schofield P,Shukla A,Smith C,Toyoda T,Vasseur L,Wakana S,Walling A,White J,Wood J,Zouberakis M","journal":"Mamm Genome","doi":"10.1007/s00335-007-9004-x","created_at":"2021-09-30T08:27:06.977Z","updated_at":"2021-09-30T08:27:06.977Z"}],"licence_links":[],"grants":[{"id":5783,"fairsharing_record_id":520,"organisation_id":2354,"relation":"funds","created_at":"2021-09-30T09:27:38.926Z","updated_at":"2021-09-30T09:32:31.630Z","grant_id":1660,"is_lead":false,"saved_state":{"id":2354,"name":"PRIME, European Commission","grant":"LSHG-CT-2005-005283","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5781,"fairsharing_record_id":520,"organisation_id":1501,"relation":"maintains","created_at":"2021-09-30T09:27:38.876Z","updated_at":"2021-09-30T09:27:38.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":1501,"name":"International Mouse Phenotyping Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5782,"fairsharing_record_id":520,"organisation_id":896,"relation":"funds","created_at":"2021-09-30T09:27:38.901Z","updated_at":"2021-09-30T09:32:32.963Z","grant_id":1669,"is_lead":false,"saved_state":{"id":896,"name":"EUMORPHIA, European Commission","grant":"QLG2-CT-2002-00930","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"521","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:07:54.000Z","updated_at":"2022-04-11T12:07:34.365Z","metadata":{"doi":"10.25504/FAIRsharing.3mtaee","name":"Open Archives Initiative Object Reuse and Exchange","status":"ready","contacts":[{"contact_email":"openarchives-l@cornell.edu"}],"homepage":"http://www.openarchives.org/ore/","identifier":521,"description":"Open Archives Initiative develops and promotes interoperability standards that aim to facilitate the efficient dissemination of content; OAI has its roots in the open access and institutional repository movements. The OAI-ORE is a standard for the description and exchange of compound digital objects (e.g. distributed resources with multiple media types including text, images, data, and video), to expose the rich content in these aggregations to applications that support authoring, deposit, exchange, visualization, reuse, and preservation. The intent of the effort is to develop standards that generalize across all web-based information including the increasing popular social networks of “web 2.0”.","abbreviation":"OAI-ORE","support_links":[{"url":"http://www.openarchives.org/ore/1.0/primer","name":"OAI-ORE Primer","type":"Help documentation"},{"url":"http://www.openarchives.org/ore/1.0/tools","name":"Tools and Additional Resources","type":"Help documentation"},{"url":"http://www.openarchives.org/ore/community/","name":"OAI-ORE Community Information","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000703","bsg-s000703"],"name":"FAIRsharing record for: Open Archives Initiative Object Reuse and Exchange","abbreviation":"OAI-ORE","url":"https://fairsharing.org/10.25504/FAIRsharing.3mtaee","doi":"10.25504/FAIRsharing.3mtaee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Archives Initiative develops and promotes interoperability standards that aim to facilitate the efficient dissemination of content; OAI has its roots in the open access and institutional repository movements. The OAI-ORE is a standard for the description and exchange of compound digital objects (e.g. distributed resources with multiple media types including text, images, data, and video), to expose the rich content in these aggregations to applications that support authoring, deposit, exchange, visualization, reuse, and preservation. The intent of the effort is to develop standards that generalize across all web-based information including the increasing popular social networks of “web 2.0”.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Social Science","Social and Behavioural Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5784,"fairsharing_record_id":521,"organisation_id":2512,"relation":"maintains","created_at":"2021-09-30T09:27:38.951Z","updated_at":"2021-09-30T09:27:38.951Z","grant_id":null,"is_lead":false,"saved_state":{"id":2512,"name":"School of Information, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5789,"fairsharing_record_id":521,"organisation_id":95,"relation":"funds","created_at":"2021-09-30T09:27:39.077Z","updated_at":"2021-09-30T09:27:39.077Z","grant_id":null,"is_lead":false,"saved_state":{"id":95,"name":"Andrew W. Mellon Foundation, New York, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5787,"fairsharing_record_id":521,"organisation_id":761,"relation":"maintains","created_at":"2021-09-30T09:27:39.027Z","updated_at":"2021-09-30T09:27:39.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":761,"name":"Digital Library Research \u0026 Prototyping, Los Alamos National Laboratory, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5786,"fairsharing_record_id":521,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:39.001Z","updated_at":"2021-09-30T09:29:37.495Z","grant_id":331,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IIS-9817416","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5788,"fairsharing_record_id":521,"organisation_id":613,"relation":"maintains","created_at":"2021-09-30T09:27:39.051Z","updated_at":"2021-09-30T09:27:39.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":613,"name":"Cornell University Library, Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5790,"fairsharing_record_id":521,"organisation_id":542,"relation":"funds","created_at":"2021-09-30T09:27:39.109Z","updated_at":"2021-09-30T09:27:39.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":542,"name":"Coalition for Networked Information","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5791,"fairsharing_record_id":521,"organisation_id":760,"relation":"funds","created_at":"2021-09-30T09:27:39.135Z","updated_at":"2021-09-30T09:27:39.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":760,"name":"Digital Library Federation","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8041,"fairsharing_record_id":521,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:36.395Z","updated_at":"2021-09-30T09:30:36.441Z","grant_id":787,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IIS-0430906","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9379,"fairsharing_record_id":521,"organisation_id":54,"relation":"funds","created_at":"2022-04-11T12:07:34.352Z","updated_at":"2022-04-11T12:07:34.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":54,"name":"Alfred P. Sloan Foundation, New York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"525","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:01.407Z","metadata":{"doi":"10.25504/FAIRsharing.vttygv","name":"BEDgraph","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bedgraph.html","identifier":525,"description":"The bedGraph format allows display of continuous-valued data in track format. This display type is useful for probability scores and transcriptome data. This track type is similar to the wiggle (WIG) format, but unlike the wiggle format, data exported in the bedGraph format are preserved in their original state.","abbreviation":"BEDgraph","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000288","bsg-s000288"],"name":"FAIRsharing record for: BEDgraph","abbreviation":"BEDgraph","url":"https://fairsharing.org/10.25504/FAIRsharing.vttygv","doi":"10.25504/FAIRsharing.vttygv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bedGraph format allows display of continuous-valued data in track format. This display type is useful for probability scores and transcriptome data. This track type is similar to the wiggle (WIG) format, but unlike the wiggle format, data exported in the bedGraph format are preserved in their original state.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12503}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Life Science","Comparative Genomics"],"domains":["DNA sequence data","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1709,"pubmed_id":24867943,"title":"CWig: compressed representation of Wiggle/BedGraph format.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu330","authors":"Huy Hoang D,Sung WK","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu330","created_at":"2021-09-30T08:25:31.504Z","updated_at":"2021-09-30T08:25:31.504Z"}],"licence_links":[],"grants":[{"id":5817,"fairsharing_record_id":525,"organisation_id":407,"relation":"maintains","created_at":"2021-09-30T09:27:39.994Z","updated_at":"2021-09-30T09:27:39.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":407,"name":"Center for Biomolecular Science and Enginnering (CBSE), University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"526","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-01-08T11:31:57.102Z","metadata":{"doi":"10.25504/FAIRsharing.9te3ev","name":"The Prescription of Drugs Ontology","status":"ready","contacts":[{"contact_name":"Ryeyan Taseen","contact_email":"ryeyan.taseen@gmail.com"}],"homepage":"https://github.com/OpenLHS/PDRO","identifier":526,"description":"PDRO is a realist ontology that aims to represent the domain of drug prescriptions. Such an ontology is currently missing in the OBOFoundry and is highly relevant to the domains of existing ontologies like DRON, OMRSE and OAE. PDRO’s central focus is the structure of a drug prescription, which is represented as a mereology of informational entities. Our current use cases are (1) refining this structure (e.g., adding closure axioms, cardinality, datatype bindings, etc) for prospectively standardizing local electronic prescriptions and (2) annotating prescription data of differing EHRs for detecting inappropriate prescriptions using a central semantic framework. Future ontological work will include aligning PDRO more closely with the Document Acts Ontology.","abbreviation":"PDRO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDRO","name":"PDRO","portal":"BioPortal"}]},"legacy_ids":["bsg-000775","bsg-s000775"],"name":"FAIRsharing record for: The Prescription of Drugs Ontology","abbreviation":"PDRO","url":"https://fairsharing.org/10.25504/FAIRsharing.9te3ev","doi":"10.25504/FAIRsharing.9te3ev","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDRO is a realist ontology that aims to represent the domain of drug prescriptions. Such an ontology is currently missing in the OBOFoundry and is highly relevant to the domains of existing ontologies like DRON, OMRSE and OAE. PDRO’s central focus is the structure of a drug prescription, which is represented as a mereology of informational entities. Our current use cases are (1) refining this structure (e.g., adding closure axioms, cardinality, datatype bindings, etc) for prospectively standardizing local electronic prescriptions and (2) annotating prescription data of differing EHRs for detecting inappropriate prescriptions using a central semantic framework. Future ontological work will include aligning PDRO more closely with the Document Acts Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Primary Health Care"],"domains":["Drug"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2563,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"523","type":"fairsharing_records","attributes":{"created_at":"2021-06-09T12:24:45.000Z","updated_at":"2024-03-20T11:05:36.139Z","metadata":{"doi":"10.25504/FAIRsharing.fc1207","name":"Recommended Metadata for Biological Images","status":"ready","contacts":[{"contact_name":"REMBI General Contact","contact_email":"rembi@ebi.ac.uk"}],"homepage":"https://doi.org/10.1038/s41592-021-01166-8","citations":[{"doi":"10.1038/s41592-021-01166-8","pubmed_id":34021280,"publication_id":1663}],"identifier":523,"description":"The Recommended Metadata for Biological Images (REMBI) are a set of guidelines developed by the bioimaging community as a framework for discussing different aspects of useful sharing of imaging data. In general, REMBI provides a way to explain how your images were generated, providing enough context to allow others to interpret them without reference to external sources. ","abbreviation":"REMBI","support_links":[{"url":"https://www.ebi.ac.uk/about/news/announcements/REMBI-launch","name":"About REMBI Launch","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/bioimage-archive/rembi-help-examples/","name":"Study Component Guidance at BioImage Archive","type":"Help documentation"}],"year_creation":2021},"legacy_ids":["bsg-001615","bsg-s001615"],"name":"FAIRsharing record for: Recommended Metadata for Biological Images","abbreviation":"REMBI","url":"https://fairsharing.org/10.25504/FAIRsharing.fc1207","doi":"10.25504/FAIRsharing.fc1207","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Recommended Metadata for Biological Images (REMBI) are a set of guidelines developed by the bioimaging community as a framework for discussing different aspects of useful sharing of imaging data. In general, REMBI provides a way to explain how your images were generated, providing enough context to allow others to interpret them without reference to external sources. ","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18241},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15893}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Computational Biology","Biology"],"domains":["Bioimaging","Microscopy","Light microscopy","Electron microscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1663,"pubmed_id":34021280,"title":"REMBI: Recommended Metadata for Biological Images-enabling reuse of microscopy data in biology.","year":2021,"url":"http://doi.org/10.1038/s41592-021-01166-8","authors":"Sarkans U,Chiu W,Collinson L et al.","journal":"Nat Methods","doi":"10.1038/s41592-021-01166-8","created_at":"2021-09-30T08:25:26.261Z","updated_at":"2021-09-30T08:25:26.261Z"}],"licence_links":[],"grants":[{"id":5793,"fairsharing_record_id":523,"organisation_id":3089,"relation":"maintains","created_at":"2021-09-30T09:27:39.186Z","updated_at":"2021-09-30T09:27:39.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":3089,"name":"University of Massachusetts Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5796,"fairsharing_record_id":523,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:39.259Z","updated_at":"2021-09-30T09:27:39.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5799,"fairsharing_record_id":523,"organisation_id":2443,"relation":"maintains","created_at":"2021-09-30T09:27:39.335Z","updated_at":"2021-09-30T09:27:39.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":2443,"name":"RIKEN Center for Biosystems Dynamics Research (BDR), RIKEN, Hyogo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5801,"fairsharing_record_id":523,"organisation_id":1584,"relation":"maintains","created_at":"2021-09-30T09:27:39.385Z","updated_at":"2021-09-30T09:27:39.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":1584,"name":"Janssen, Belgium","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5804,"fairsharing_record_id":523,"organisation_id":3080,"relation":"maintains","created_at":"2021-09-30T09:27:39.460Z","updated_at":"2021-09-30T09:27:39.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":3080,"name":"University of Leuven (KU Leuven), Leuven, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5807,"fairsharing_record_id":523,"organisation_id":1450,"relation":"maintains","created_at":"2021-09-30T09:27:39.536Z","updated_at":"2021-09-30T09:27:39.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":1450,"name":"Instituto Gulbenkian de Ciencia Oeiras, Lisboa, Portugal","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5810,"fairsharing_record_id":523,"organisation_id":758,"relation":"maintains","created_at":"2021-09-30T09:27:39.616Z","updated_at":"2021-09-30T09:27:39.616Z","grant_id":null,"is_lead":false,"saved_state":{"id":758,"name":"Diamond Light Source, Harwell Science and Innovation Campus, Harwell, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5813,"fairsharing_record_id":523,"organisation_id":492,"relation":"maintains","created_at":"2021-09-30T09:27:39.784Z","updated_at":"2021-09-30T09:27:39.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":492,"name":"Chan Zuckerberg Initiative, Redwood City, CA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5792,"fairsharing_record_id":523,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:27:39.159Z","updated_at":"2021-09-30T09:27:39.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5794,"fairsharing_record_id":523,"organisation_id":3049,"relation":"maintains","created_at":"2021-09-30T09:27:39.209Z","updated_at":"2021-09-30T09:27:39.209Z","grant_id":null,"is_lead":false,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5795,"fairsharing_record_id":523,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:27:39.235Z","updated_at":"2021-09-30T09:27:39.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5797,"fairsharing_record_id":523,"organisation_id":2879,"relation":"maintains","created_at":"2021-09-30T09:27:39.286Z","updated_at":"2021-09-30T09:27:39.286Z","grant_id":null,"is_lead":false,"saved_state":{"id":2879,"name":"Turku BioImaging, University of Turku and Åbo Akademi University, Turku, Finland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5798,"fairsharing_record_id":523,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:27:39.309Z","updated_at":"2021-09-30T09:27:39.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5800,"fairsharing_record_id":523,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:39.359Z","updated_at":"2021-09-30T09:27:39.359Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5802,"fairsharing_record_id":523,"organisation_id":1638,"relation":"maintains","created_at":"2021-09-30T09:27:39.410Z","updated_at":"2021-09-30T09:27:39.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":1638,"name":"King's College London, London, United Kingdom","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5803,"fairsharing_record_id":523,"organisation_id":1046,"relation":"maintains","created_at":"2021-09-30T09:27:39.435Z","updated_at":"2021-09-30T09:27:39.435Z","grant_id":null,"is_lead":false,"saved_state":{"id":1046,"name":"Francis Crick Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5805,"fairsharing_record_id":523,"organisation_id":2618,"relation":"maintains","created_at":"2021-09-30T09:27:39.485Z","updated_at":"2021-09-30T09:27:39.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2618,"name":"SPT Labtech Ltd, Melbourn, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5806,"fairsharing_record_id":523,"organisation_id":394,"relation":"maintains","created_at":"2021-09-30T09:27:39.510Z","updated_at":"2021-09-30T09:27:39.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":394,"name":"Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5808,"fairsharing_record_id":523,"organisation_id":375,"relation":"maintains","created_at":"2021-09-30T09:27:39.560Z","updated_at":"2021-09-30T09:27:39.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":375,"name":"Carl Zeiss Microscopy GmbH, Jena, Germany","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5809,"fairsharing_record_id":523,"organisation_id":2986,"relation":"maintains","created_at":"2021-09-30T09:27:39.585Z","updated_at":"2021-09-30T09:27:39.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":2986,"name":"Université de Nantes, CNRS, INSERM, l’institut du thorax, Nantes, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5812,"fairsharing_record_id":523,"organisation_id":2061,"relation":"maintains","created_at":"2021-09-30T09:27:39.696Z","updated_at":"2021-09-30T09:27:39.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":2061,"name":"National Physical Laboratory, Teddington, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5814,"fairsharing_record_id":523,"organisation_id":1133,"relation":"maintains","created_at":"2021-09-30T09:27:39.825Z","updated_at":"2021-09-30T09:27:39.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":1133,"name":"German BioImaging e.V., University of Konstanz, Konstanz, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5815,"fairsharing_record_id":523,"organisation_id":3023,"relation":"maintains","created_at":"2021-09-30T09:27:39.868Z","updated_at":"2021-09-30T09:27:39.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":3023,"name":"University of Bristol, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5816,"fairsharing_record_id":523,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:39.908Z","updated_at":"2021-09-30T09:27:39.908Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9331,"fairsharing_record_id":523,"organisation_id":403,"relation":"maintains","created_at":"2022-04-11T12:07:30.884Z","updated_at":"2022-04-11T12:07:30.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"524","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:11:39.000Z","updated_at":"2024-03-05T05:41:31.312Z","metadata":{"doi":"10.25504/FAIRsharing.eq2pdx","name":"Neutron, X-ray and muon Data Format","status":"ready","contacts":[{"contact_name":"NeXus committee","contact_email":"nexus-committee@nexusformat.org"}],"homepage":"http://www.nexusformat.org","citations":[],"identifier":524,"description":"NeXus is an international standard developed by scientists and programmers worldwide to foster more collaboration and data sharing in the analysis and visualization of neutron, x-ray, and muon data. NeXus has its foundation on HDF5 and adds domain-specific rules for organizing data within HDF5 files as welll as a dictionary of well-defined domain-specific field names.","abbreviation":"NeXus","support_links":[{"url":"https://manual.nexusformat.org/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.nexusformat.org/IssueReporting.html","name":"Issue Reporting","type":"Contact form"},{"url":"https://manual.nexusformat.org/user_manual.html","name":"User manual","type":"Help documentation"},{"url":"https://github.com/nexusformat","name":"GitHub Repository","type":"Github"}],"year_creation":1996},"legacy_ids":["bsg-000704","bsg-s000704"],"name":"FAIRsharing record for: Neutron, X-ray and muon Data Format","abbreviation":"NeXus","url":"https://fairsharing.org/10.25504/FAIRsharing.eq2pdx","doi":"10.25504/FAIRsharing.eq2pdx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeXus is an international standard developed by scientists and programmers worldwide to foster more collaboration and data sharing in the analysis and visualization of neutron, x-ray, and muon data. NeXus has its foundation on HDF5 and adds domain-specific rules for organizing data within HDF5 files as welll as a dictionary of well-defined domain-specific field names.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Physics","Data Visualization"],"domains":["Nanoparticle"],"taxonomies":["Not applicable"],"user_defined_tags":["Neutron Science"],"countries":["Worldwide"],"publications":[{"id":2239,"pubmed_id":26089752,"title":"The NeXus data format.","year":2015,"url":"http://doi.org/10.1107/S1600576714027575","authors":"Konnecke M,Akeroyd FA,Bernstein HJ,Brewster AS,Campbell SI,Clausen B,Cottrell S,Hoffmann JU,Jemian PR,Mannicke D,Osborn R,Peterson PF,Richter T,Suzuki J,Watts B,Wintersberger E,Wuttke J","journal":"J Appl Crystallogr","doi":"10.1107/S1600576714027575","created_at":"2021-09-30T08:26:32.356Z","updated_at":"2021-09-30T08:26:32.356Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":3513,"relation":"applies_to_content"}],"grants":[{"id":11423,"fairsharing_record_id":524,"organisation_id":4289,"relation":"maintains","created_at":"2024-02-27T10:38:25.379Z","updated_at":"2024-02-27T10:38:25.379Z","grant_id":null,"is_lead":true,"saved_state":{"id":4289,"name":"NeXus International Advisory Committee","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcTBEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e61d187aa06d17228db6f4bea91e868b896dddaa/Screenshot%20from%202024-02-27%2010-32-50.png?disposition=inline","exhaustive_licences":true}},{"id":"538","type":"fairsharing_records","attributes":{"created_at":"2018-11-07T14:50:32.000Z","updated_at":"2024-05-02T13:21:22.568Z","metadata":{"doi":"10.25504/FAIRsharing.ATwSZG","name":"Research Resource Identifier","status":"ready","contacts":[{"contact_name":"Anita Bandrowski","contact_email":"resources@scicrunch.zendesk.com"}],"homepage":"https://www.rrids.org/","citations":[],"identifier":538,"description":"Research Resource Identifiers (#RRID) are ID numbers assigned to help researchers cite key resources (antibodies, model organisms and software projects) in the biomedical literature to improve transparency of research methods. \n\n\n\n","abbreviation":"RRID","support_links":[{"url":"https://www.rrids.org/draft-texts","name":"Draft Instructions and Text","type":"Help documentation"},{"url":"https://www.rrids.org/journals","name":"Journal Endorsements","type":"Other"},{"url":"https://www.rrids.org/new-page-2","name":"Contact RRID","type":"Contact form"},{"url":"https://site.us12.list-manage.com/subscribe?u=0a278980f634ce4f77988e46a\u0026id=743aaca79b","name":"RRID Newsletter","type":"Mailing list"}],"year_creation":2013,"cross_references":[{"url":"https://bioregistry.io/registry/rrid","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/rrid","name":"Identifiers.org","portal":"Other"}],"regular_expression":"^[a-zA-Z]+.+$"},"legacy_ids":["bsg-001334","bsg-s001334"],"name":"FAIRsharing record for: Research Resource Identifier","abbreviation":"RRID","url":"https://fairsharing.org/10.25504/FAIRsharing.ATwSZG","doi":"10.25504/FAIRsharing.ATwSZG","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Research Resource Identifiers (#RRID) are ID numbers assigned to help researchers cite key resources (antibodies, model organisms and software projects) in the biomedical literature to improve transparency of research methods. \n\n\n\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Chemistry","Life Science"],"domains":["Citation","Resource metadata","Annotation","Data retrieval","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":631,"pubmed_id":26594330,"title":"The Resource Identification Initiative: A cultural shift in publishing.","year":2015,"url":"http://doi.org/10.12688/f1000research.6555.2","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan S,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"F1000Res","doi":"10.12688/f1000research.6555.2","created_at":"2021-09-30T08:23:29.376Z","updated_at":"2021-09-30T08:23:29.376Z"},{"id":739,"pubmed_id":27151636,"title":"RRIDs: A Simple Step toward Improving Reproducibility through Rigor and Transparency of Experimental Methods.","year":2016,"url":"http://doi.org/10.1016/j.neuron.2016.04.030","authors":"Bandrowski AE,Martone ME","journal":"Neuron","doi":"10.1016/j.neuron.2016.04.030","created_at":"2021-09-30T08:23:41.403Z","updated_at":"2021-09-30T08:23:41.403Z"},{"id":1283,"pubmed_id":26599696,"title":"The Resource Identification Initiative: A Cultural Shift in Publishing.","year":2015,"url":"http://doi.org/10.1002/cne.23913","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan SC,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"J Comp Neurol","doi":"10.1002/cne.23913","created_at":"2021-09-30T08:24:43.216Z","updated_at":"2021-09-30T08:24:43.216Z"},{"id":1418,"pubmed_id":24032093,"title":"On the reproducibility of science: unique identification of research resources in the biomedical literature.","year":2013,"url":"http://doi.org/10.7717/peerj.148","authors":"Vasilevsky NA,Brush MH,Paddock H,Ponting L,Tripathy SJ,Larocca GM,Haendel MA","journal":"PeerJ","doi":"10.7717/peerj.148","created_at":"2021-09-30T08:24:58.427Z","updated_at":"2021-09-30T08:24:58.427Z"},{"id":1426,"pubmed_id":27595404,"title":"A proposal for validation of antibodies.","year":2016,"url":"http://doi.org/10.1038/nmeth.3995","authors":"Uhlen M,Bandrowski A,Carr S,Edwards A,Ellenberg J,Lundberg E,Rimm DL,Rodriguez H,Hiltke T,Snyder M,Yamamoto T","journal":"Nat Methods","doi":"10.1038/nmeth.3995","created_at":"2021-09-30T08:24:59.385Z","updated_at":"2021-09-30T08:24:59.385Z"}],"licence_links":[],"grants":[{"id":5832,"fairsharing_record_id":538,"organisation_id":2436,"relation":"maintains","created_at":"2021-09-30T09:27:40.437Z","updated_at":"2021-09-30T09:27:40.437Z","grant_id":null,"is_lead":true,"saved_state":{"id":2436,"name":"Resource Identification Initiatve","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11604,"fairsharing_record_id":538,"organisation_id":990,"relation":"maintains","created_at":"2024-03-21T13:59:31.472Z","updated_at":"2024-03-21T13:59:31.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":990,"name":"FAIR Data Informatics Lab, University of California, San Diego, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"517","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:40:27.000Z","updated_at":"2021-11-24T13:18:37.896Z","metadata":{"doi":"10.25504/FAIRsharing.c9fakh","name":"Big Pattern Space Layout","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigPsl.html","identifier":517,"description":"The bigPsl format stores alignments between two sequences just as PSL files do; however, bigPsl files are compressed and indexed as bigBeds. PSL files are converted to bigPsl files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigPsl.","abbreviation":"bigPsl","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"bedToBigBed"},{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"pslToBigPsl"}]},"legacy_ids":["bsg-000698","bsg-s000698"],"name":"FAIRsharing record for: Big Pattern Space Layout","abbreviation":"bigPsl","url":"https://fairsharing.org/10.25504/FAIRsharing.c9fakh","doi":"10.25504/FAIRsharing.c9fakh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigPsl format stores alignments between two sequences just as PSL files do; however, bigPsl files are compressed and indexed as bigBeds. PSL files are converted to bigPsl files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigPsl.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Multiple sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5779,"fairsharing_record_id":517,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:38.826Z","updated_at":"2021-09-30T09:27:38.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"518","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:37.975Z","metadata":{"doi":"10.25504/FAIRsharing.x9k6a1","name":"bigWig Track Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigWig.html","identifier":518,"description":"The bigWig format is for display of dense, continuous data that will be displayed in the Genome Browser as a graph. The bigWig files are in an indexed binary format. The main advantage of this format is that only those portions of the file needed to display a particular region are transferred to the Genome Browser server. Because of this, bigWig files have considerably faster display performance than regular wiggle files when working with large data sets. The bigWig file remains on your local web-accessible server (http, https or ftp), not on the UCSC server, and only the portion needed for the currently displayed chromosomal position is locally cached as a \"sparse file\".","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000213","bsg-s000213"],"name":"FAIRsharing record for: bigWig Track Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.x9k6a1","doi":"10.25504/FAIRsharing.x9k6a1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigWig format is for display of dense, continuous data that will be displayed in the Genome Browser as a graph. The bigWig files are in an indexed binary format. The main advantage of this format is that only those portions of the file needed to display a particular region are transferred to the Genome Browser server. Because of this, bigWig files have considerably faster display performance than regular wiggle files when working with large data sets. The bigWig file remains on your local web-accessible server (http, https or ftp), not on the UCSC server, and only the portion needed for the currently displayed chromosomal position is locally cached as a \"sparse file\".","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11996}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5780,"fairsharing_record_id":518,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:38.851Z","updated_at":"2021-09-30T09:27:38.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"583","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-13T09:20:59.952Z","metadata":{"doi":"10.25504/FAIRsharing.ayjdsm","name":"Amphibian Taxonomy Ontology","status":"deprecated","contacts":[],"homepage":"http://purl.bioontology.org/ontology/ATO","citations":[],"identifier":583,"description":"Amphibian Taxonomy Ontology is an ontology of Amphibian species and genres. It is being integrated into UBERON resource","abbreviation":"ATO","deprecation_date":"2016-04-20","deprecation_reason":"This resource is no longer maintained, and UBERON can be used instead."},"legacy_ids":["bsg-000005","bsg-s000005"],"name":"FAIRsharing record for: Amphibian Taxonomy Ontology","abbreviation":"ATO","url":"https://fairsharing.org/10.25504/FAIRsharing.ayjdsm","doi":"10.25504/FAIRsharing.ayjdsm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Amphibian Taxonomy Ontology is an ontology of Amphibian species and genres. It is being integrated into UBERON resource","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy"],"domains":["Taxonomic classification"],"taxonomies":["Amphibia"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"584","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2024-02-28T13:54:36.410Z","metadata":{"doi":"10.25504/FAIRsharing.kd6sg8","name":"RegenBase ontology","status":"ready","contacts":[{"contact_name":"Alison Callahan","contact_email":"acallaha@stanford.edu"}],"homepage":"https://regenbase.org/regenbase-ontology.html","citations":[],"identifier":584,"description":"The RegenBase ontology describes biological entities and processes studied in spinal cord injury (SCI) research. The project aims to improve the replicability of SCI research findings through a minimum information standard for describing SCI experiments and their results, and this ontology to formally describe SCI concepts and the relationships between them. ","abbreviation":null,"support_links":[{"url":"https://regenbase.org/team--contact.html","name":"General Contact Form and Emails","type":"Contact form"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RB","name":"RB","portal":"BioPortal"}]},"legacy_ids":["bsg-000767","bsg-s000767"],"name":"FAIRsharing record for: RegenBase ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.kd6sg8","doi":"10.25504/FAIRsharing.kd6sg8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RegenBase ontology describes biological entities and processes studied in spinal cord injury (SCI) research. The project aims to improve the replicability of SCI research findings through a minimum information standard for describing SCI experiments and their results, and this ontology to formally describe SCI concepts and the relationships between them. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Medicine","Neurobiology","Biomedical Science","Translational Medicine"],"domains":[],"taxonomies":["Vertebrata"],"user_defined_tags":["Spinal Cord","Spinal Cord Injury"],"countries":["United States"],"publications":[{"id":3995,"pubmed_id":null,"title":"Facilitating transparency in spinal cord injury studies using data standards and ontologies","year":2014,"url":"http://dx.doi.org/10.4103/1673-5374.125322","authors":"Lemmon, VanceP; Abeyruwan, Saminda; Visser, Ubbo; Bixby, JohnL; ","journal":"Neural Regen Res","doi":"10.4103/1673-5374.125322","created_at":"2023-09-21T13:24:03.022Z","updated_at":"2023-09-21T13:24:03.022Z"}],"licence_links":[{"licence_name":"RegenBase Terms","licence_id":1074,"licence_url":"https://regenbase.org/terms-of-use.html","link_id":3342,"relation":"applies_to_content"}],"grants":[{"id":10880,"fairsharing_record_id":584,"organisation_id":1825,"relation":"maintains","created_at":"2023-09-21T13:42:50.098Z","updated_at":"2023-09-21T13:42:50.098Z","grant_id":null,"is_lead":true,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdklDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a3ccd509fd2fd8ae5e38c934f0e5ce0caff6a49d/1424801361.png?disposition=inline","exhaustive_licences":true}},{"id":"585","type":"fairsharing_records","attributes":{"created_at":"2018-09-30T20:13:41.000Z","updated_at":"2022-04-11T12:07:18.634Z","metadata":{"doi":"10.25504/FAIRsharing.7e962d","name":"Protocol Registration Data Element Definitions","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"Register@ClinicalTrials.gov"}],"homepage":"https://prsinfo.clinicaltrials.gov/definitions.html","identifier":585,"description":"This standard describes the definitions for protocol registration data elements submitted to ClinicalTrials.gov for interventional studies (clinical trials) and observational studies.","abbreviation":null,"support_links":[{"url":"https://clinicaltrials.gov/ct2/manage-recs/resources","name":"Support Materials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001299","bsg-s001299"],"name":"FAIRsharing record for: Protocol Registration Data Element Definitions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7e962d","doi":"10.25504/FAIRsharing.7e962d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard describes the definitions for protocol registration data elements submitted to ClinicalTrials.gov for interventional studies (clinical trials) and observational studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12538}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Health Science","Life Science","Biomedical Science","Preclinical Studies"],"domains":["Centrally registered identifier","Electronic health record","Intervention design","Protocol","Observation design","Study design"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5908,"fairsharing_record_id":585,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:27:42.422Z","updated_at":"2021-09-30T09:27:42.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5906,"fairsharing_record_id":585,"organisation_id":2944,"relation":"maintains","created_at":"2021-09-30T09:27:42.372Z","updated_at":"2021-09-30T09:27:42.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9163,"fairsharing_record_id":585,"organisation_id":2045,"relation":"funds","created_at":"2022-04-11T12:07:18.624Z","updated_at":"2022-04-11T12:07:18.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"586","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2023-03-30T13:11:12.083Z","metadata":{"doi":"10.25504/FAIRsharing.vpy0jx","name":"Knowledge Object Reference Ontology","status":"ready","contacts":[{"contact_name":"Allen Flynn","contact_email":"ajflynn@umich.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/KORO","citations":[],"identifier":586,"description":"An ontology to define the parts of a Knowledge Object and their relations built using the Basic Formal Ontology and Information Artifact Ontology","abbreviation":"KORO","support_links":[{"url":"https://link.springer.com/chapter/10.1007/978-94-6209-004-0_3","name":"Reference Ontology for Knowledge Creation Processes (chapter book)","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/KORO","name":"KORO","portal":"BioPortal"}]},"legacy_ids":["bsg-000769","bsg-s000769"],"name":"FAIRsharing record for: Knowledge Object Reference Ontology","abbreviation":"KORO","url":"https://fairsharing.org/10.25504/FAIRsharing.vpy0jx","doi":"10.25504/FAIRsharing.vpy0jx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology to define the parts of a Knowledge Object and their relations built using the Basic Formal Ontology and Information Artifact Ontology","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems"],"domains":["Knowledge representation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3832,"pubmed_id":null,"title":"The Knowledge Object Reference Ontology (KORO): A formalism to support management and sharing of computable biomedical knowledge for learning health systems","year":2018,"url":"http://dx.doi.org/10.1002/lrh2.10054","authors":"Flynn, Allen J.; Friedman, Charles P.; Boisvert, Peter; Landis-Lewis, Zachary; Lagoze, Carl; ","journal":"Learn Health Sys","doi":"10.1002/lrh2.10054","created_at":"2023-03-30T13:05:56.535Z","updated_at":"2023-03-30T13:05:56.535Z"}],"licence_links":[],"grants":[{"id":10469,"fairsharing_record_id":586,"organisation_id":2512,"relation":"undefined","created_at":"2023-03-30T13:09:35.358Z","updated_at":"2023-03-30T13:09:35.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":2512,"name":"School of Information, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"587","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2023-01-04T11:46:42.605Z","metadata":{"doi":"10.25504/FAIRsharing.3qdg66","name":"Genomic Clinical Decision Support Ontology","status":"ready","contacts":[{"contact_name":"Matthias Samwald","contact_email":"samwald@gmx.at"}],"homepage":"http://samwald.info","citations":[],"identifier":587,"description":"The Genomic CDS ontology aims to unify several functionalities in a single resource, being: * A knowledge base for clinical pharmacogenomics/pharmacogenetics that can be used for question-answering (e.g., which SNPs are associated with this drug?) * A rule base for clinical decision support (e.g., inferring that a patient with a specific set of SNPs requires a lowered dose of warfarin and generating a CDS message that can be viewed by clinicians) * A tool for checking data consistency (e.g., highlighting which allele definitions in PharmGKB are overlapping, or which clinical decision support rules are matching the same group of patients).","abbreviation":"GENE-CDS","support_links":[],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GENE-CDS","name":"GENE-CDS","portal":"BioPortal"}]},"legacy_ids":["bsg-000770","bsg-s000770"],"name":"FAIRsharing record for: Genomic Clinical Decision Support Ontology","abbreviation":"GENE-CDS","url":"https://fairsharing.org/10.25504/FAIRsharing.3qdg66","doi":"10.25504/FAIRsharing.3qdg66","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic CDS ontology aims to unify several functionalities in a single resource, being: * A knowledge base for clinical pharmacogenomics/pharmacogenetics that can be used for question-answering (e.g., which SNPs are associated with this drug?) * A rule base for clinical decision support (e.g., inferring that a patient with a specific set of SNPs requires a lowered dose of warfarin and generating a CDS message that can be viewed by clinicians) * A tool for checking data consistency (e.g., highlighting which allele definitions in PharmGKB are overlapping, or which clinical decision support rules are matching the same group of patients).","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16963}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Health Science","Proteomics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria"],"publications":[],"licence_links":[],"grants":[{"id":10292,"fairsharing_record_id":587,"organisation_id":3856,"relation":"maintains","created_at":"2023-01-04T11:29:25.777Z","updated_at":"2023-01-04T11:29:25.777Z","grant_id":null,"is_lead":true,"saved_state":{"id":3856,"name":"Samwald Lab","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"588","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-12-23T08:39:18.554Z","metadata":{"doi":"10.25504/FAIRsharing.dyj433","name":"PatientSafetyOntology","status":"ready","contacts":[{"contact_name":"Thomas Schrader","contact_email":"schrader@th-brandenburg.de"}],"homepage":"http://bioportal.bioontology.org/ontologies/PSO","citations":[],"identifier":588,"description":"It is the ontology embedding PRIME (Prospective Risk Analysis in Medical Environments) in related issues of patient safety research and activities. It classifies terms and express relations between them. The ontology building in an ongoing process. Any comments are welcome.","abbreviation":"PSO","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PSO","name":"PSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000771","bsg-s000771"],"name":"FAIRsharing record for: PatientSafetyOntology","abbreviation":"PSO","url":"https://fairsharing.org/10.25504/FAIRsharing.dyj433","doi":"10.25504/FAIRsharing.dyj433","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: It is the ontology embedding PRIME (Prospective Risk Analysis in Medical Environments) in related issues of patient safety research and activities. It classifies terms and express relations between them. The ontology building in an ongoing process. Any comments are welcome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Occupational Medicine","Medical Informatics"],"domains":["Monitoring","Hospital"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"589","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-12-23T08:35:08.322Z","metadata":{"doi":"10.25504/FAIRsharing.77v8xn","name":"Upper-Level Cancer Ontology","status":"ready","contacts":[{"contact_name":"Andre Stander","contact_email":"andre.stander@up.ac.za"}],"homepage":"http://bioportal.bioontology.org/ontologies/CANONT","citations":[],"identifier":589,"description":"Providing an upper-level ontology for cancer.","abbreviation":"CANONT","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CANONT","name":"CANONT","portal":"BioPortal"}]},"legacy_ids":["bsg-000764","bsg-s000764"],"name":"FAIRsharing record for: Upper-Level Cancer Ontology","abbreviation":"CANONT","url":"https://fairsharing.org/10.25504/FAIRsharing.77v8xn","doi":"10.25504/FAIRsharing.77v8xn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Providing an upper-level ontology for cancer.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology"],"domains":["Cancer"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"590","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2023-03-13T09:26:44.386Z","metadata":{"doi":"10.25504/FAIRsharing.pxj1sx","name":"Ontological Knowledge Base Model for Cystic Fibrosis","status":"ready","contacts":[{"contact_name":"Xia Jing","contact_email":"xjing2007@googlemail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOKBCF","citations":[],"identifier":590,"description":"OntoKBCF is an ontological knowledge base model for cystic fibrosis. There are molecular genetic information (i.e. gene mutations) and health information included in OntoKBCF. The purposes of OntoKBCF include management of molecular genetic information and health information and embedding OntoKBCF into EHR settings.","abbreviation":"ONTOKBCF","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOKBCF","name":"ONTOKBCF","portal":"BioPortal"}]},"legacy_ids":["bsg-000765","bsg-s000765"],"name":"FAIRsharing record for: Ontological Knowledge Base Model for Cystic Fibrosis","abbreviation":"ONTOKBCF","url":"https://fairsharing.org/10.25504/FAIRsharing.pxj1sx","doi":"10.25504/FAIRsharing.pxj1sx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoKBCF is an ontological knowledge base model for cystic fibrosis. There are molecular genetic information (i.e. gene mutations) and health information included in OntoKBCF. The purposes of OntoKBCF include management of molecular genetic information and health information and embedding OntoKBCF into EHR settings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Genetics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"591","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:00:20.254Z","metadata":{"doi":"10.25504/FAIRsharing.8532n8","name":"DermLex: The Dermatology Lexicon","status":"deprecated","contacts":[{"contact_name":"Naomi Levintha","contact_email":"nlevinthal@aad.org"}],"homepage":"https://www.aad.org/dermlex/Default.aspx","identifier":591,"description":"DermLex: The Dermatology Lexicon standardized terminology of dermatologic diagnoses, therapies, procedures, and laboratory tests.","abbreviation":"DermLex","support_links":[{"url":"dermlex@aad.org","name":"General inquiry","type":"Support email"},{"url":"https://www.aad.org/dermlex/Mappings.aspx","name":"Mapping","type":"Help documentation"}],"year_creation":2006,"deprecation_date":"2019-06-18","deprecation_reason":"This resource is no longer actively maintained. This has been confirmed via the resource homepage: \"Users should note that, per the decision of its Board of Directors, the American Academy of Dermatology no longer actively maintains the Dermlex. The lexicon was last updated on May, 12, 2009.\""},"legacy_ids":["bsg-002599","bsg-s002599"],"name":"FAIRsharing record for: DermLex: The Dermatology Lexicon","abbreviation":"DermLex","url":"https://fairsharing.org/10.25504/FAIRsharing.8532n8","doi":"10.25504/FAIRsharing.8532n8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DermLex: The Dermatology Lexicon standardized terminology of dermatologic diagnoses, therapies, procedures, and laboratory tests.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Dermatology","Biomedical Science"],"domains":["Patient care","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"592","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:26.000Z","updated_at":"2022-11-01T11:57:45.054Z","metadata":{"doi":"10.25504/FAIRsharing.EwnE1n","name":"FAIR Metrics - Access authorization","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_A1.2","citations":[],"identifier":592,"description":"FM-A1.2 measures whether or not the specification describes a protocol to access restricted content. Not all content can be made available without restriction. For instance, access and distribution of personal health data may be restricted by law or by organizational policy. In such cases, it is important that the protocol by which such content can be accessed is fully specified. Ideally, electronic content can be obtained first by applying for access. Once the requester is formally authorized to access the content, they may receive it in some electronic means, for instance by obtaining an download URL, or through a more sophisticated transaction mechanism (e.g. authenticate, authorize), or by any other means. The goal should be to reduce the time it takes for valid requests to be fulfilled. Therefore the following information must be provided: i) true/false concerning whether authorization is needed, ii) a URL that resolves to a description of the process to obtain access to restricted content. This metric applies to part A1.2 of the FAIR Principles.","abbreviation":"FM-A1.2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001348","bsg-s001348"],"name":"FAIRsharing record for: FAIR Metrics - Access authorization","abbreviation":"FM-A1.2","url":"https://fairsharing.org/10.25504/FAIRsharing.EwnE1n","doi":"10.25504/FAIRsharing.EwnE1n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-A1.2 measures whether or not the specification describes a protocol to access restricted content. Not all content can be made available without restriction. For instance, access and distribution of personal health data may be restricted by law or by organizational policy. In such cases, it is important that the protocol by which such content can be accessed is fully specified. Ideally, electronic content can be obtained first by applying for access. Once the requester is formally authorized to access the content, they may receive it in some electronic means, for instance by obtaining an download URL, or through a more sophisticated transaction mechanism (e.g. authenticate, authorize), or by any other means. The goal should be to reduce the time it takes for valid requests to be fulfilled. Therefore the following information must be provided: i) true/false concerning whether authorization is needed, ii) a URL that resolves to a description of the process to obtain access to restricted content. This metric applies to part A1.2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1405,"relation":"undefined"}],"grants":[{"id":5910,"fairsharing_record_id":592,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:42.504Z","updated_at":"2021-09-30T09:27:42.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5911,"fairsharing_record_id":592,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:42.546Z","updated_at":"2021-09-30T09:27:42.546Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5912,"fairsharing_record_id":592,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:42.588Z","updated_at":"2021-09-30T09:27:42.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5913,"fairsharing_record_id":592,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:42.630Z","updated_at":"2021-09-30T09:27:42.630Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"607","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T18:54:06.000Z","updated_at":"2024-03-21T13:59:00.838Z","metadata":{"doi":"10.25504/FAIRsharing.wggn02","name":"LINCS Extended Metadata Standard: Nucleic Acid Reagents","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Nucleic_Acid_Metadata_2017.pdf","citations":[],"identifier":607,"description":"LINCS Production Phase 2 Extended Metadata Standards, including this guideline on Nucleic Acid Reagents, were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","abbreviation":"LINCS 2: Nucleic Acid Reagents","support_links":[{"url":"https://lincsproject.org/LINCS/files/Nucleic_Acid_Metadata_2016.pdf","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000699","bsg-s000699"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Nucleic Acid Reagents","abbreviation":"LINCS 2: Nucleic Acid Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.wggn02","doi":"10.25504/FAIRsharing.wggn02","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards, including this guideline on Nucleic Acid Reagents, were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11909}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Nucleic acid","Reagent","Cell culture"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5937,"fairsharing_record_id":607,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:43.480Z","updated_at":"2021-09-30T09:27:43.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11569,"fairsharing_record_id":607,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:00.562Z","updated_at":"2024-03-21T13:59:00.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"609","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:02:26.810Z","metadata":{"doi":"10.25504/FAIRsharing.d88s6e","name":"Systematized Nomenclature of Medicine-Clinical Terms","status":"ready","contacts":[{"contact_name":"info@snomed.org","contact_email":"info@snomed.org"}],"homepage":"http://www.snomed.org/snomed-ct/five-step-briefing","citations":[],"identifier":609,"description":"The Systematized Nomenclature of Medicine Clinical Terms is a reference terminology that can be used to cross-map standardized healthcare languages across healthcare disciplines.","abbreviation":"SNOMEDCT","support_links":[{"url":"https://confluence.ihtsdotools.org","type":"Help documentation"},{"url":"https://www.snomed.org/snomed-international/learn-more","type":"Help documentation"}],"year_creation":2005,"associated_tools":[{"url":"https://github.com/IHTSDO/sct-browser-frontend","name":"SNOMED CT Browser 2.0"},{"url":"https://github.com/IHTSDO/OTF-Mapping-Service","name":"SNOMED CT Mapping Tool 1.7.5"},{"url":"https://github.com/IHTSDO/snowstorm","name":"Snowstorm SNOMED CT Terminology Server 4.9.0"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SNOMEDCT","name":"SNOMEDCT","portal":"BioPortal"}]},"legacy_ids":["bsg-000098","bsg-s000098"],"name":"FAIRsharing record for: Systematized Nomenclature of Medicine-Clinical Terms","abbreviation":"SNOMEDCT","url":"https://fairsharing.org/10.25504/FAIRsharing.d88s6e","doi":"10.25504/FAIRsharing.d88s6e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systematized Nomenclature of Medicine Clinical Terms is a reference terminology that can be used to cross-map standardized healthcare languages across healthcare disciplines.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17338},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17687},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11027},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11272},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11970},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12208},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12420},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16973}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Belgium","Brunei","Canada","Chile","Czech Republic","Denmark","Estonia","Hong Kong","Iceland","India","Ireland","Israel","Lithuania","Malaysia","Malta","Netherlands","New Zealand","Norway","Poland","Portugal","Singapore","Slovakia","Slovenia","Spain","Sweden","Switzerland","United Kingdom","United States","Uruguay"],"publications":[{"id":1258,"pubmed_id":16980782,"title":"Standardized nursing language in the systematized nomenclature of medicine clinical terms: A cross-mapping validation method.","year":2006,"url":"http://doi.org/10.1097/00024665-200609000-00011","authors":"Lu DF,Eichmann D,Konicek D,Park HT,Ucharattana P,Delaney C","journal":"Comput Inform Nurs","doi":"10.1097/00024665-200609000-00011","created_at":"2021-09-30T08:24:40.358Z","updated_at":"2021-09-30T08:24:40.358Z"}],"licence_links":[{"licence_name":"SNOMED CT Licensing Policy","licence_id":751,"licence_url":"https://www.snomed.org/snomed-ct/get-snomed","link_id":499,"relation":"undefined"}],"grants":[{"id":12028,"fairsharing_record_id":609,"organisation_id":3834,"relation":"maintains","created_at":"2024-07-08T14:51:30.080Z","updated_at":"2024-07-08T14:51:30.080Z","grant_id":null,"is_lead":true,"saved_state":{"id":3834,"name":"SNOMED International","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"610","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-12-27T17:15:59.647Z","metadata":{"doi":"10.25504/FAIRsharing.hqyeb7","name":"Fire Ontology","status":"ready","contacts":[{"contact_name":"Adriano Souza","contact_email":"souza.a@outlook.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/FIRE","citations":[],"identifier":610,"description":"The ontology of Fire was created in order to represent the set of concepts about the fire occurring in natural vegetation, its characteristics, causes and effects, with focus on Cerrado vegetation domain. The fire plays a determinant role on the structure and composition of Cerrado physiognomies.","abbreviation":"FIRE","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FIRE","name":"FIRE","portal":"BioPortal"}]},"legacy_ids":["bsg-000783","bsg-s000783"],"name":"FAIRsharing record for: Fire Ontology","abbreviation":"FIRE","url":"https://fairsharing.org/10.25504/FAIRsharing.hqyeb7","doi":"10.25504/FAIRsharing.hqyeb7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of Fire was created in order to represent the set of concepts about the fire occurring in natural vegetation, its characteristics, causes and effects, with focus on Cerrado vegetation domain. The fire plays a determinant role on the structure and composition of Cerrado physiognomies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Plant Ecology","Environmental Science","Population Dynamics","Meteorology","Biodiversity","Ecosystem Science"],"domains":["Combustion","Climate","Ecosystem"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"613","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:09.065Z","metadata":{"doi":"10.25504/FAIRsharing.w69t6r","name":"Plant Trait Ontology","status":"ready","contacts":[{"contact_name":"Laurel Cooper","contact_email":"cooperl@science.oregonstate.edu","contact_orcid":"0000-0002-6379-8932"}],"homepage":"http://browser.planteome.org/amigo/term/TO:0000387#display-lineage-tab","identifier":613,"description":"A controlled vocabulary to describe phenotypic traits in plants. Each trait is a distinguishable feature, characteristic, quality or phenotypic feature of a developing or mature plant, or a plant part. The TO is part of the Planteome Project.","abbreviation":"TO","support_links":[{"url":"http://planteome.org/contact","name":"Planteome Contact Form","type":"Contact form"},{"url":"jaiswalp@science.oregonstate.edu","name":"Pankaj Jaiswal","type":"Support email"},{"url":"https://github.com/Planteome/plant-trait-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/Planteome/plant-trait-ontology","name":"GitHub Project","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PTO","name":"PTO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/to.html","name":"to","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000133","bsg-s000133"],"name":"FAIRsharing record for: Plant Trait Ontology","abbreviation":"TO","url":"https://fairsharing.org/10.25504/FAIRsharing.w69t6r","doi":"10.25504/FAIRsharing.w69t6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary to describe phenotypic traits in plants. Each trait is a distinguishable feature, characteristic, quality or phenotypic feature of a developing or mature plant, or a plant part. The TO is part of the Planteome Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Phenotype","Structure","Life cycle"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2166,"pubmed_id":29186578,"title":"The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1152","authors":"Cooper L,Meier A,Laporte MA,Elser JL,Mungall C,Sinn BT,Cavaliere D,Carbon S,Dunn NA,Smith B,Qu B,Preece J,Zhang E,Todorovic S,Gkoutos G,Doonan JH,Stevenson DW,Arnaud E,Jaiswal P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1152","created_at":"2021-09-30T08:26:24.139Z","updated_at":"2021-09-30T11:29:30.419Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1740,"relation":"undefined"}],"grants":[{"id":5940,"fairsharing_record_id":613,"organisation_id":15,"relation":"maintains","created_at":"2021-09-30T09:27:43.579Z","updated_at":"2021-09-30T09:27:43.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":15,"name":"Aberystwyth University, Wales, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5943,"fairsharing_record_id":613,"organisation_id":2153,"relation":"maintains","created_at":"2021-09-30T09:27:43.663Z","updated_at":"2021-09-30T09:27:43.663Z","grant_id":null,"is_lead":false,"saved_state":{"id":2153,"name":"New York Botanical Garden","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5941,"fairsharing_record_id":613,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:43.608Z","updated_at":"2021-09-30T09:27:43.608Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5942,"fairsharing_record_id":613,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:27:43.633Z","updated_at":"2021-09-30T09:27:43.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5944,"fairsharing_record_id":613,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:43.706Z","updated_at":"2021-09-30T09:27:43.706Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"614","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T11:55:32.515Z","metadata":{"doi":"10.25504/FAIRsharing.rz77m6","name":"Transition Markup Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"psidev-ms-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/traml","citations":[{"doi":"10.1074/mcp.R111.015040","pubmed_id":22159873,"publication_id":2206}],"identifier":614,"description":"The HUPO PSI Mass Spectrometry Standards Working Group (MSS WG) has developed a specification for a standardized format for the exchange and transmission of transition lists for selected reaction monitoring (SRM)/multiple reaction monitoring proteomic experiments. ","abbreviation":"TraML","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"http://www.peptideatlas.org/schemas/TraML/1.0.0/TraML1.0.0.html","type":"Help documentation"},{"url":"http://www.peptideatlas.org/schemas/TraML/1.0.0/TraML_1.0.0.0_specificationDocument.pdf","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"http://iomics.ugent.be/jtraml","name":"TraML Converter 1.0"}]},"legacy_ids":["bsg-000113","bsg-s000113"],"name":"FAIRsharing record for: Transition Markup Language","abbreviation":"TraML","url":"https://fairsharing.org/10.25504/FAIRsharing.rz77m6","doi":"10.25504/FAIRsharing.rz77m6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HUPO PSI Mass Spectrometry Standards Working Group (MSS WG) has developed a specification for a standardized format for the exchange and transmission of transition lists for selected reaction monitoring (SRM)/multiple reaction monitoring proteomic experiments. ","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11428},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11952},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16913}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Experimental measurement","Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Germany","Switzerland","United Kingdom","United States"],"publications":[{"id":2206,"pubmed_id":22159873,"title":"TraML--a standard format for exchange of selected reaction monitoring transition lists.","year":2011,"url":"http://doi.org/10.1074/mcp.R111.015040","authors":"Deutsch EW,Chambers M,Neumann S,Levander F,Binz PA,Shofstahl J,Campbell DS,Mendoza L,Ovelleiro D,Helsens K,Martens L,Aebersold R,Moritz RL,Brusniak MY","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.R111.015040","created_at":"2021-09-30T08:26:28.641Z","updated_at":"2021-09-30T08:26:28.641Z"}],"licence_links":[],"grants":[{"id":5945,"fairsharing_record_id":614,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:43.743Z","updated_at":"2021-09-30T09:30:14.497Z","grant_id":616,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7 'ProteomeXchange' 260558","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5948,"fairsharing_record_id":614,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:43.825Z","updated_at":"2021-09-30T09:32:29.105Z","grant_id":1640,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01- HV -28179","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5947,"fairsharing_record_id":614,"organisation_id":1291,"relation":"maintains","created_at":"2021-09-30T09:27:43.799Z","updated_at":"2021-09-30T09:27:43.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":1291,"name":"HUPO-PSI initiative; Quality Control working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5949,"fairsharing_record_id":614,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:43.849Z","updated_at":"2021-09-30T09:28:53.437Z","grant_id":2,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG005805","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5946,"fairsharing_record_id":614,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:43.776Z","updated_at":"2021-09-30T09:32:43.272Z","grant_id":1748,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM087221","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"615","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:36:01.000Z","updated_at":"2021-11-24T13:18:39.134Z","metadata":{"doi":"10.25504/FAIRsharing.78make","name":"Big Multiple Alignment Format","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigMaf.html","identifier":615,"description":"The bigMaf format stores multiple alignments in a format compatible with MAF files, which is then compressed and indexed as a bigBed. The bigMaf files are created using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigMaf.","abbreviation":"bigMaf","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"mafToBigBed"}]},"legacy_ids":["bsg-000697","bsg-s000697"],"name":"FAIRsharing record for: Big Multiple Alignment Format","abbreviation":"bigMaf","url":"https://fairsharing.org/10.25504/FAIRsharing.78make","doi":"10.25504/FAIRsharing.78make","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigMaf format stores multiple alignments in a format compatible with MAF files, which is then compressed and indexed as a bigBed. The bigMaf files are created using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigMaf.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Multiple sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5950,"fairsharing_record_id":615,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:43.875Z","updated_at":"2021-09-30T09:27:43.875Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"616","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:31.078Z","metadata":{"doi":"10.25504/FAIRsharing.htx8tt","name":"Minimum Information about a Cardiac Electrophysiology Experiment","status":"ready","contacts":[{"contact_name":"Stephen Granite","contact_email":"sgranite@jhu.edu","contact_orcid":"0000-0002-0956-7500"}],"homepage":"https://doi.org/10.1016/j.pbiomolbio.2011.07.001","citations":[{"doi":"10.1016/j.pbiomolbio.2011.07.001","pubmed_id":21745496,"publication_id":1819}],"identifier":616,"description":"Minimum Information about a Cardiac Electrophysiology Experiment (MICEE) is a reporting standard developed by an international group of leading experimental teams comprising an explicit minimum set of information deemed necessary for reproduction and utilization of published cardiac experimental electrophysiology research. The concept is that upon publication, data annotated according to the MICEE standard will be deposited by investigators in an online repository, with links provided in related publications. \nNote from the FAIRsharing team: the only available resource is the publication. ","abbreviation":"MICEE","support_links":[{"url":"davehops@jhu.edu","type":"Support email"}],"year_creation":2010},"legacy_ids":["bsg-000278","bsg-s000278"],"name":"FAIRsharing record for: Minimum Information about a Cardiac Electrophysiology Experiment","abbreviation":"MICEE","url":"https://fairsharing.org/10.25504/FAIRsharing.htx8tt","doi":"10.25504/FAIRsharing.htx8tt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimum Information about a Cardiac Electrophysiology Experiment (MICEE) is a reporting standard developed by an international group of leading experimental teams comprising an explicit minimum set of information deemed necessary for reproduction and utilization of published cardiac experimental electrophysiology research. The concept is that upon publication, data annotated according to the MICEE standard will be deposited by investigators in an online repository, with links provided in related publications. \nNote from the FAIRsharing team: the only available resource is the publication. ","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11181},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11602},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12087}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Electrophysiology"],"domains":["Report","Assay","Heart"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":1819,"pubmed_id":21745496,"title":"Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): standardised reporting for model reproducibility, interoperability, and data sharing.","year":2011,"url":"http://doi.org/10.1016/j.pbiomolbio.2011.07.001","authors":"Quinn TA et al.","journal":"Prog Biophys Mol Biol","doi":"10.1016/j.pbiomolbio.2011.07.001","created_at":"2021-09-30T08:25:44.247Z","updated_at":"2021-09-30T08:25:44.247Z"}],"licence_links":[],"grants":[{"id":5954,"fairsharing_record_id":616,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:27:43.975Z","updated_at":"2021-09-30T09:27:43.975Z","grant_id":null,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5953,"fairsharing_record_id":616,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:43.949Z","updated_at":"2021-09-30T09:27:43.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5951,"fairsharing_record_id":616,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:43.899Z","updated_at":"2021-09-30T09:30:34.206Z","grant_id":769,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL103727","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8089,"fairsharing_record_id":616,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:52.449Z","updated_at":"2021-09-30T09:30:52.509Z","grant_id":913,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8091,"fairsharing_record_id":616,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:52.957Z","updated_at":"2021-09-30T09:30:53.024Z","grant_id":917,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R24HL085343","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11603,"fairsharing_record_id":616,"organisation_id":4004,"relation":"funds","created_at":"2024-03-21T13:59:30.987Z","updated_at":"2024-03-21T13:59:30.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":4004,"name":"VPHi - Virtual Physiological Human Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"599","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:38.721Z","metadata":{"doi":"10.25504/FAIRsharing.vy4h4j","name":"Minimal Information for QTLs and Association Studies","status":"ready","contacts":[{"contact_name":"Jan Aerts","contact_email":"jan.aerts@bbsrc.ac.uk","contact_orcid":"0000-0002-6416-2717"}],"homepage":"http://miqas.sourceforge.net/","identifier":599,"description":"The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file.","abbreviation":"MIQAS","support_links":[{"url":"http://mibbi.sf.net/projects/MIQAS.shtml","type":"Help documentation"}],"associated_tools":[{"url":"http://www.gridqtl.org.uk","name":"GRID QTL"},{"url":"https://www.kyazma.nl/index.php/MapQTL/","name":"MapQTL"}]},"legacy_ids":["bsg-000158","bsg-s000158"],"name":"FAIRsharing record for: Minimal Information for QTLs and Association Studies","abbreviation":"MIQAS","url":"https://fairsharing.org/10.25504/FAIRsharing.vy4h4j","doi":"10.25504/FAIRsharing.vy4h4j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11572},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11959}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Phenotype","Quantitative trait loci","Genome-wide association study"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":5925,"fairsharing_record_id":599,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:43.052Z","updated_at":"2021-09-30T09:27:43.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5928,"fairsharing_record_id":599,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:27:43.171Z","updated_at":"2021-09-30T09:27:43.171Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5926,"fairsharing_record_id":599,"organisation_id":1849,"relation":"maintains","created_at":"2021-09-30T09:27:43.088Z","updated_at":"2021-09-30T09:27:43.088Z","grant_id":null,"is_lead":false,"saved_state":{"id":1849,"name":"Minimum Information for QTLs and Association Studies (MIQAS) Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5927,"fairsharing_record_id":599,"organisation_id":2458,"relation":"maintains","created_at":"2021-09-30T09:27:43.130Z","updated_at":"2021-09-30T09:27:43.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":2458,"name":"Roslin Institue","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5929,"fairsharing_record_id":599,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:43.221Z","updated_at":"2021-09-30T09:27:43.221Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"600","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2021-11-24T13:14:09.143Z","metadata":{"doi":"10.25504/FAIRsharing.c86z66","name":"Medaka Stage Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/developmental-stage-ontologies/wiki/OlatDv","identifier":600,"description":"Life cycle stages for Medaka. OlatDv is based on the original medaka stage ontology MFO by Thorsten Henrich. Currently it includes only pre-adult stages.","abbreviation":"OlatDv","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OLATDV","name":"OLATDV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/olatdv.html","name":"olatdv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000876","bsg-s000876"],"name":"FAIRsharing record for: Medaka Stage Ontology","abbreviation":"OlatDv","url":"https://fairsharing.org/10.25504/FAIRsharing.c86z66","doi":"10.25504/FAIRsharing.c86z66","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Medaka. OlatDv is based on the original medaka stage ontology MFO by Thorsten Henrich. Currently it includes only pre-adult stages.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Aquaculture","Developmental Biology","Life Science"],"domains":["Life cycle stage"],"taxonomies":["Oryzias latipes"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":543,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"601","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-12-27T17:22:25.468Z","metadata":{"doi":"10.25504/FAIRsharing.bkejsq","name":"Human Physiology Simulation Ontology","status":"ready","contacts":[{"contact_name":"Michaela Guendel","contact_email":"michaela.guendel@scai-extern.fraunhofer.de"}],"homepage":"http://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads.html","citations":[],"identifier":601,"description":"Large biomedical simulation initiatives, such as the Virtual Physiological Human (VPH), are substantially dependent on controlled vocabularies to facilitate the exchange of information, of data and of models. Hindering these initiatives is a lack of a comprehensive ontology that covers the essential concepts of the simulation domain. We propose a first version of a newly constructed ontology, HuPSON, as a basis for shared semantics and interoperability of simulations, of models, of algorithms and of other resources in this domain. The ontology is based on the Basic Formal Ontology, and adheres to the MIREOT principles.","abbreviation":"HUPSON","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HUPSON","name":"HUPSON","portal":"BioPortal"}]},"legacy_ids":["bsg-000880","bsg-s000880"],"name":"FAIRsharing record for: Human Physiology Simulation Ontology","abbreviation":"HUPSON","url":"https://fairsharing.org/10.25504/FAIRsharing.bkejsq","doi":"10.25504/FAIRsharing.bkejsq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Large biomedical simulation initiatives, such as the Virtual Physiological Human (VPH), are substantially dependent on controlled vocabularies to facilitate the exchange of information, of data and of models. Hindering these initiatives is a lack of a comprehensive ontology that covers the essential concepts of the simulation domain. We propose a first version of a newly constructed ontology, HuPSON, as a basis for shared semantics and interoperability of simulations, of models, of algorithms and of other resources in this domain. The ontology is based on the Basic Formal Ontology, and adheres to the MIREOT principles.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12113},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16950}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Systems Biology","Medical Informatics"],"domains":["Modeling and simulation","Algorithm"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"603","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:21.544Z","metadata":{"doi":"10.25504/FAIRsharing.grqm4q","name":"CDISC Protocol Representation Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/protocol","identifier":603,"description":"The CDISC Protocol Representation Model (PRM) provides a standard for planning and designing a research protocol with focus on study characteristics such as study design, eligibility criteria, and requirements from the ClinicalTrials.gov, World Health Organization (WHO) registries, and EudraCT registries. PRM assists in automating CRF creation and EHR configuration to support clinical research and data sharing.","abbreviation":"CDISC PRM"},"legacy_ids":["bsg-000145","bsg-s000145"],"name":"FAIRsharing record for: CDISC Protocol Representation Model","abbreviation":"CDISC PRM","url":"https://fairsharing.org/10.25504/FAIRsharing.grqm4q","doi":"10.25504/FAIRsharing.grqm4q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CDISC Protocol Representation Model (PRM) provides a standard for planning and designing a research protocol with focus on study characteristics such as study design, eligibility criteria, and requirements from the ClinicalTrials.gov, World Health Organization (WHO) registries, and EudraCT registries. PRM assists in automating CRF creation and EHR configuration to support clinical research and data sharing.","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11274},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11806},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11973},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12422}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Protocol"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5930,"fairsharing_record_id":603,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:43.262Z","updated_at":"2021-09-30T09:27:43.262Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"594","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T10:57:39.000Z","updated_at":"2022-02-08T10:28:51.341Z","metadata":{"doi":"10.25504/FAIRsharing.ad4856","name":"Metadata Application Profile: eBank UK project","status":"ready","contacts":[{"contact_name":"Monica Duke","contact_email":"monica.duke@jisc.ac.uk","contact_orcid":"0000-0003-2588-7544"}],"homepage":"http://www.ukoln.ac.uk/projects/ebank-uk/schemas/profile/","identifier":594,"description":"The eBank UK project has created a repository of crystallography datasets (eCrystals) and a metadata profile (Dublin Core Application Profile) has been designed to describe the metadata exposed by the repository using OAI-PMH. The eBank project ended in 2007 but both the application profile and the repository are still available.","abbreviation":null,"support_links":[{"url":"http://www.ukoln.ac.uk/repositories/digirep/index/EBank_Application_Profile.html","name":"Wiki documentation page","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-001306","bsg-s001306"],"name":"FAIRsharing record for: Metadata Application Profile: eBank UK project","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ad4856","doi":"10.25504/FAIRsharing.ad4856","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eBank UK project has created a repository of crystallography datasets (eCrystals) and a metadata profile (Dublin Core Application Profile) has been designed to describe the metadata exposed by the repository using OAI-PMH. The eBank project ended in 2007 but both the application profile and the repository are still available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Natural Science"],"domains":["X-ray crystallography assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5914,"fairsharing_record_id":594,"organisation_id":815,"relation":"maintains","created_at":"2021-09-30T09:27:42.667Z","updated_at":"2021-09-30T09:27:42.667Z","grant_id":null,"is_lead":true,"saved_state":{"id":815,"name":"eBank UK Project, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5916,"fairsharing_record_id":594,"organisation_id":689,"relation":"maintains","created_at":"2021-09-30T09:27:42.723Z","updated_at":"2021-09-30T09:27:42.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":689,"name":"Department of Chemistry, University of Southampton, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5915,"fairsharing_record_id":594,"organisation_id":2901,"relation":"maintains","created_at":"2021-09-30T09:27:42.699Z","updated_at":"2021-09-30T09:27:42.699Z","grant_id":null,"is_lead":false,"saved_state":{"id":2901,"name":"UKOLN, University of Bath, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5917,"fairsharing_record_id":594,"organisation_id":1464,"relation":"maintains","created_at":"2021-09-30T09:27:42.748Z","updated_at":"2021-09-30T09:27:42.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":1464,"name":"Intelligence, Agents \u0026 Multimedia Group, Department of Electronics \u0026 Computer Science, University of Southampton, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"595","type":"fairsharing_records","attributes":{"created_at":"2020-04-26T10:16:15.000Z","updated_at":"2022-07-20T09:06:11.049Z","metadata":{"doi":"10.25504/FAIRsharing.y4RpVy","name":"Data Documentation Initiative Controlled Vocabularies","status":"ready","contacts":[{"contact_name":"Sanda Ionescu","contact_email":"sandai@umich.edu"}],"homepage":"https://ddialliance.org/controlled-vocabularies","citations":[],"identifier":595,"description":"The Data Documentation Initiative (DDI) Controlled Vocabularies Group (CVG) has created a set of controlled vocabularies (CVs) that can be used with DDI as well as for other purposes and applications. The DDI CVs are used to aid in the description and documentation of data in the social science research community. The published DDI-CVs work with both versions of the DDI specification (DDI-L and DDI-C).","abbreviation":"DDI CVs","support_links":[{"url":"https://ddialliance.org/about/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://ddialliance.org/about/about-the-alliance","name":"About","type":"Help documentation"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"},{"url":"https://ddialliance.org/controlled-vocabularies#policy","name":"Versioning Policy","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-001469","bsg-s001469"],"name":"FAIRsharing record for: Data Documentation Initiative Controlled Vocabularies","abbreviation":"DDI CVs","url":"https://fairsharing.org/10.25504/FAIRsharing.y4RpVy","doi":"10.25504/FAIRsharing.y4RpVy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Documentation Initiative (DDI) Controlled Vocabularies Group (CVG) has created a set of controlled vocabularies (CVs) that can be used with DDI as well as for other purposes and applications. The DDI CVs are used to aid in the description and documentation of data in the social science research community. The published DDI-CVs work with both versions of the DDI specification (DDI-L and DDI-C).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17331},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12951},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13345}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2909,"pubmed_id":null,"title":"Controlled Vocabularies for DDI 3: Enhancing Machine-Actionability","year":2010,"url":"https://doi.org/10.29173/iq649","authors":"Taina Jaaskelainen, Meinhard Moschner, Joachim Wackerow","journal":"IASSIST quarterly / International Association for Social Science Information Service and Technology 33(1):34","doi":null,"created_at":"2021-09-30T08:27:58.191Z","updated_at":"2021-09-30T08:27:58.191Z"}],"licence_links":[],"grants":[{"id":5918,"fairsharing_record_id":595,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:27:42.774Z","updated_at":"2021-09-30T09:27:42.774Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"596","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-08-02T20:19:42.310Z","metadata":{"doi":"10.25504/FAIRsharing.q09hck","name":"Social Inset Behavior Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/sibo","citations":[],"identifier":596,"description":"The Social Inset Behavior Ontology mostly contains terms related to Chemical, Anatomy, Behavior, Species. The most developed use cases are for Pogonomyrmex harvester ant foraging and apis mellifera honeybee colony defense.\n","abbreviation":"SIBO","support_links":[],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SIBO","name":"SIBO","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/sibo.html","name":"OBO Foundry - sibo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000772","bsg-s000772"],"name":"FAIRsharing record for: Social Inset Behavior Ontology","abbreviation":"SIBO","url":"https://fairsharing.org/10.25504/FAIRsharing.q09hck","doi":"10.25504/FAIRsharing.q09hck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Social Inset Behavior Ontology mostly contains terms related to Chemical, Anatomy, Behavior, Species. The most developed use cases are for Pogonomyrmex harvester ant foraging and apis mellifera honeybee colony defense.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":[],"taxonomies":["Apis mellifera"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2786,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"597","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:18:09.000Z","updated_at":"2022-11-01T11:58:33.325Z","metadata":{"doi":"10.25504/FAIRsharing.qcziIV","name":"FAIR Metrics - Detailed Provenance","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_R1.2","citations":[],"identifier":597,"description":"FM-R1.2 is a metric concerned with whether there is provenance information associated with the data, covering at least two primary types of provenance information: Who/what/When produced the data (i.e. for citation); and Why/How was the data produced (i.e. to understand context and relevance of the data). Several IRIs must be provided to fulfil this metric. At least one of these points to one of the vocabularies used to describe citational provenance (e.g. dublin core). Additionally, at least one points to one of the vocabularies (likely domain-specific) that is used to describe contextual provenance (e.g. EDAM). This metric applies to part R1.2 of the FAIR Principles.","abbreviation":"FM-R1.2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}]},"legacy_ids":["bsg-001354","bsg-s001354"],"name":"FAIRsharing record for: FAIR Metrics - Detailed Provenance","abbreviation":"FM-R1.2","url":"https://fairsharing.org/10.25504/FAIRsharing.qcziIV","doi":"10.25504/FAIRsharing.qcziIV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-R1.2 is a metric concerned with whether there is provenance information associated with the data, covering at least two primary types of provenance information: Who/what/When produced the data (i.e. for citation); and Why/How was the data produced (i.e. to understand context and relevance of the data). Several IRIs must be provided to fulfil this metric. At least one of these points to one of the vocabularies used to describe citational provenance (e.g. dublin core). Additionally, at least one points to one of the vocabularies (likely domain-specific) that is used to describe contextual provenance (e.g. EDAM). This metric applies to part R1.2 of the FAIR Principles.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13186},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13216}],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1406,"relation":"undefined"}],"grants":[{"id":5919,"fairsharing_record_id":597,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:42.799Z","updated_at":"2021-09-30T09:27:42.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5920,"fairsharing_record_id":597,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:42.826Z","updated_at":"2021-09-30T09:27:42.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5921,"fairsharing_record_id":597,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:42.888Z","updated_at":"2021-09-30T09:27:42.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5922,"fairsharing_record_id":597,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:42.930Z","updated_at":"2021-09-30T09:27:42.930Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"598","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T11:26:29.000Z","updated_at":"2024-05-31T11:09:00.149Z","metadata":{"doi":"10.25504/FAIRsharing.f5d440","name":"Space Physics Archive Search and Extract Simulation Extensions","status":"ready","contacts":[{"contact_name":"Metadata Working Group Contact","contact_email":"vxo-spase-smwg@googlegroups.com"}],"homepage":"http://www.spase-group.org/data/simulation/","citations":[],"identifier":598,"description":"The SPASE Simulation Extensions enables all users and applications of SPASE to integrate simulation data into their (database) systems, adding simulation data searching and handling to what is already possible for observational data. The SPASE Simulation Extensions were originally developed by the Integrated Medium for Planetary Exploration (IMPEx) project and released as the IMPEx Data Model. IMPEx was a European Union (EU) Seventh Framework Programme sponsored project.","abbreviation":"SPASE Simulation Extensions","support_links":[{"url":"https://cordis.europa.eu/result/rcn/175920_en.html","name":"Final Report Summary - IMPEX","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001307","bsg-s001307"],"name":"FAIRsharing record for: Space Physics Archive Search and Extract Simulation Extensions","abbreviation":"SPASE Simulation Extensions","url":"https://fairsharing.org/10.25504/FAIRsharing.f5d440","doi":"10.25504/FAIRsharing.f5d440","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SPASE Simulation Extensions enables all users and applications of SPASE to integrate simulation data into their (database) systems, adding simulation data searching and handling to what is already possible for observational data. The SPASE Simulation Extensions were originally developed by the Integrated Medium for Planetary Exploration (IMPEx) project and released as the IMPEx Data Model. IMPEx was a European Union (EU) Seventh Framework Programme sponsored project.","linked_records":[],"linking_records":[{"linking_record_name":"International Heliophysics Data Environment Alliance","linking_record_id":5484,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19837}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Earth Science"],"domains":["Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5923,"fairsharing_record_id":598,"organisation_id":2606,"relation":"maintains","created_at":"2021-09-30T09:27:42.971Z","updated_at":"2021-09-30T09:27:42.971Z","grant_id":null,"is_lead":true,"saved_state":{"id":2606,"name":"Space Physics Archive Search and Extract (SPASE) Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5924,"fairsharing_record_id":598,"organisation_id":1460,"relation":"maintains","created_at":"2021-09-30T09:27:43.013Z","updated_at":"2021-09-30T09:27:43.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":1460,"name":"Integrated Medium for Planetary Exploration (IMPEX), Austria","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"604","type":"fairsharing_records","attributes":{"created_at":"2018-04-17T12:49:26.000Z","updated_at":"2021-11-24T13:14:22.115Z","metadata":{"doi":"10.25504/FAIRsharing.FSIfv8","name":"Domain Resource Application Ontology","status":"ready","contacts":[{"contact_name":"FAIRsharing Team","contact_email":"contact@fairsharing.org"}],"homepage":"https://github.com/FAIRsharing/domain-ontology","identifier":604,"description":"The Domain Resource Application Ontology (DRAO) is an application ontology describing cross-discipline research domains used within FAIRsharing records by curators and the user community. It is built in conjunction with the Subject Resource Application Ontology (SRAO), which describes higher-level subject areas / disciplines. All classes within DRAO come from over 50 publicly-available ontologies.","abbreviation":"DRAO","support_links":[{"url":"https://github.com/FAIRsharing/domain-ontology/issues","name":"DRAO Issue Tracker","type":"Github"},{"url":"https://github.com/FAIRsharing/domain-ontology/blob/master/Development.md","name":"DRAO Developer and Build Notes","type":"Github"},{"url":"https://twitter.com/FAIRsharing_org","name":"@FAIRsharing_org","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001178","bsg-s001178"],"name":"FAIRsharing record for: Domain Resource Application Ontology","abbreviation":"DRAO","url":"https://fairsharing.org/10.25504/FAIRsharing.FSIfv8","doi":"10.25504/FAIRsharing.FSIfv8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Domain Resource Application Ontology (DRAO) is an application ontology describing cross-discipline research domains used within FAIRsharing records by curators and the user community. It is built in conjunction with the Subject Resource Application Ontology (SRAO), which describes higher-level subject areas / disciplines. All classes within DRAO come from over 50 publicly-available ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Humanities","Natural Science","Earth Science","Agriculture","Life Science","Computer Science","Biomedical Science"],"domains":["Resource metadata","Classification","FAIR"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1937,"relation":"undefined"}],"grants":[{"id":5931,"fairsharing_record_id":604,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:43.292Z","updated_at":"2021-09-30T09:27:43.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"605","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-05-19T09:30:23.773Z","metadata":{"doi":"10.25504/FAIRsharing.2kq1fs","name":"CONsolidated Standards of Reporting Trials - Unofficial Extensions","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":"0000-0002-6881-6984"}],"homepage":"https://www.equator-network.org/?post_type=eq_guidelines\u0026eq_guidelines_study_design=0\u0026eq_guidelines_clinical_specialty=0\u0026eq_guidelines_report_section=0\u0026s=+CONSORT+extension\u0026btn_submit=Search+Reporting+Guidelines","citations":[],"identifier":605,"description":"The main CONSORT Statement is based on the \"standard\" two-group parallel design. There are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). However, this record describes those modifications to the CONSORT guidelines that are NOT developed with the involvement of the CONSORT Group do not have permission to name their work \"CONSORT\". The unofficial extensions described here have modified the CONSORT Statement without the involvement of the Group.\nPlease note the currently-listed homepage includes both official and unofficial CONSORT extensions, while the official CONSORT website is fixed.\n\n","abbreviation":"CONSORT - UE","support_links":[{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"https://twitter.com/CONSORTing","type":"Twitter"}]},"legacy_ids":["bsg-000143","bsg-s000143"],"name":"FAIRsharing record for: CONsolidated Standards of Reporting Trials - Unofficial Extensions","abbreviation":"CONSORT - UE","url":"https://fairsharing.org/10.25504/FAIRsharing.2kq1fs","doi":"10.25504/FAIRsharing.2kq1fs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The main CONSORT Statement is based on the \"standard\" two-group parallel design. There are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). However, this record describes those modifications to the CONSORT guidelines that are NOT developed with the involvement of the CONSORT Group do not have permission to name their work \"CONSORT\". The unofficial extensions described here have modified the CONSORT Statement without the involvement of the Group.\nPlease note the currently-listed homepage includes both official and unofficial CONSORT extensions, while the official CONSORT website is fixed.\n\n","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11978},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12425}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Preclinical Studies"],"domains":["Data acquisition"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1425,"pubmed_id":17200612,"title":"Reporting data on homeopathic treatments (RedHot): a supplement to CONSORT*.","year":2007,"url":"http://doi.org/10.1159/000097073","authors":"Dean ME,Coulter MK,Fisher P,Jobst K,Walach H","journal":"Forsch Komplementmed","doi":"10.1159/000097073","created_at":"2021-09-30T08:24:59.276Z","updated_at":"2021-09-30T08:24:59.276Z"},{"id":1427,"pubmed_id":17309373,"title":"Reporting data on homeopathic treatments (RedHot): a supplement to CONSORT.","year":2007,"url":"http://doi.org/10.1089/acm.2006.6352","authors":"Dean ME,Coulter MK,Fisher P,Jobst KA,Walach H","journal":"J Altern Complement Med","doi":"10.1089/acm.2006.6352","created_at":"2021-09-30T08:24:59.585Z","updated_at":"2021-09-30T08:24:59.585Z"},{"id":1535,"pubmed_id":17227747,"title":"Reporting data on homeopathic treatments (RedHot): a supplement to CONSORT.","year":2007,"url":"http://doi.org/10.1016/j.homp.2006.11.006","authors":"Dean ME,Coulter MK,Fisher P,Jobst K,Walach H","journal":"Homeopathy","doi":"10.1016/j.homp.2006.11.006","created_at":"2021-09-30T08:25:11.894Z","updated_at":"2021-09-30T08:25:11.894Z"},{"id":1536,"pubmed_id":18334139,"title":"[Improving the quality of reporting Chinese herbal medicine trials: an elaborated checklist].","year":2008,"url":"http://doi.org/10.3736/jcim20080302","authors":"Fei YT,Liu JP","journal":"Zhong Xi Yi Jie He Xue Bao","doi":"10.3736/jcim20080302","created_at":"2021-09-30T08:25:12.003Z","updated_at":"2021-09-30T08:25:12.003Z"},{"id":1537,"pubmed_id":14763633,"title":"Randomized controlled trials to investigate occupational therapy research questions.","year":2004,"url":"http://doi.org/10.5014/ajot.58.1.24","authors":"Nelson DL,Mathiowetz V","journal":"Am J Occup Ther","doi":"10.5014/ajot.58.1.24","created_at":"2021-09-30T08:25:12.174Z","updated_at":"2021-09-30T08:25:12.174Z"},{"id":1538,"pubmed_id":14644692,"title":"Evidence-based behavioral medicine: what is it and how do we achieve it?","year":2003,"url":"http://doi.org/10.1207/S15324796ABM2603_01","authors":"Davidson KW,Goldstein M,Kaplan RM,Kaufmann PG,Knatterud GL,Orleans CT,Spring B,Trudeau KJ,Whitlock EP","journal":"Ann Behav Med","doi":"10.1207/S15324796ABM2603_01","created_at":"2021-09-30T08:25:12.278Z","updated_at":"2021-09-30T08:25:12.278Z"},{"id":3836,"pubmed_id":null,"title":"An update to SPIRIT and CONSORT reporting guidelines to enhance transparency in randomized trials","year":2022,"url":"http://dx.doi.org/10.1038/s41591-022-01989-8","authors":"Hopewell, Sally; Boutron, Isabelle; Chan, An-Wen; Collins, Gary S.; de Beyer, Jennifer A.; Hróbjartsson, Asbjørn; Nejstgaard, Camilla Hansen; Østengaard, Lasse; Schulz, Kenneth F.; Tunn, Ruth; Moher, David; ","journal":"Nat Med","doi":"10.1038/s41591-022-01989-8","created_at":"2023-04-05T14:03:34.297Z","updated_at":"2023-04-05T14:03:34.297Z"}],"licence_links":[],"grants":[{"id":5932,"fairsharing_record_id":605,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:43.315Z","updated_at":"2021-09-30T09:27:43.315Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5934,"fairsharing_record_id":605,"organisation_id":81,"relation":"funds","created_at":"2021-09-30T09:27:43.371Z","updated_at":"2021-09-30T09:27:43.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":81,"name":"American Occupational Therapy Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5933,"fairsharing_record_id":605,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:27:43.341Z","updated_at":"2021-09-30T09:27:43.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5935,"fairsharing_record_id":605,"organisation_id":80,"relation":"funds","created_at":"2021-09-30T09:27:43.410Z","updated_at":"2021-09-30T09:27:43.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":80,"name":"American Occupational Therapy Association, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"618","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T13:48:07.000Z","updated_at":"2022-07-20T11:05:16.221Z","metadata":{"doi":"10.25504/FAIRsharing.d0a681","name":"EuroVoc","status":"ready","contacts":[],"homepage":"https://op.europa.eu/en/web/eu-vocabularies/th-dataset/-/resource/dataset/eurovoc","citations":[],"identifier":618,"description":"EuroVoc is a multilingual, multidisciplinary thesaurus covering the activities of the EU, the European Parliament in particular. It contains terms in 23 official EU languages, plus in three languages of countries which are candidates for EU accession. The aim of the thesaurus is to provide the information management and dissemination services with a coherent indexing tool for the effective management of their documentary resources and to enable users to carry out documentary searches using a controlled vocabulary.","abbreviation":"EuroVoc","support_links":[{"url":"https://op.europa.eu/en/web/about-us/contact-us","name":"Publications Office Contact Form","type":"Contact form"},{"url":"https://op.europa.eu/o/opportal-service/euvoc-download-handler?cellarURI=http%3A%2F%2Fpublications.europa.eu%2Fresource%2Fdistribution%2Fdocumentation%2Feurovoc%2Fhandbook%2Fpdf%2Fstddoc%2FEuroVoc-Handbook.pdf\u0026fileName=EuroVoc-Handbook.pdf","name":"Documentation","type":"Help documentation"}],"year_creation":1982},"legacy_ids":["bsg-001553","bsg-s001553"],"name":"FAIRsharing record for: EuroVoc","abbreviation":"EuroVoc","url":"https://fairsharing.org/10.25504/FAIRsharing.d0a681","doi":"10.25504/FAIRsharing.d0a681","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EuroVoc is a multilingual, multidisciplinary thesaurus covering the activities of the EU, the European Parliament in particular. It contains terms in 23 official EU languages, plus in three languages of countries which are candidates for EU accession. The aim of the thesaurus is to provide the information management and dissemination services with a coherent indexing tool for the effective management of their documentary resources and to enable users to carry out documentary searches using a controlled vocabulary.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Fisheries Science","Public Finance","Environmental Science","Forest Management","Transportation Planning","Social Science","Geography","Energy Engineering","Business Administration","Agriculture","Social Policy","Linguistics","Political Science"],"domains":["Food","Transport"],"taxonomies":["Not applicable"],"user_defined_tags":["Employment","International Relations","Trade"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":5955,"fairsharing_record_id":618,"organisation_id":2381,"relation":"maintains","created_at":"2021-09-30T09:27:43.999Z","updated_at":"2021-09-30T09:27:43.999Z","grant_id":null,"is_lead":true,"saved_state":{"id":2381,"name":"Publications Office of the European Union","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"619","type":"fairsharing_records","attributes":{"created_at":"2015-08-18T09:44:38.000Z","updated_at":"2021-11-24T13:20:13.355Z","metadata":{"doi":"10.25504/FAIRsharing.6xm1gd","name":"STereoLithography","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"healthcare@3dsystems.com"}],"homepage":"http://www.3dsystems.com/quickparts/learning-center/what-is-stl-file","citations":[],"identifier":619,"description":"STL files describe only the surface geometry of a three-dimensional object without any representation of color, texture or other common CAD model attributes. The STL format specifies both ASCII and binary representations.","abbreviation":"STL","support_links":[{"url":"http://www.3dsystems.com/contact#odm","type":"Contact form"},{"url":"https://en.wikipedia.org/wiki/STL_(file_format)","name":"Wikipedia","type":"Wikipedia"}],"year_creation":1987},"legacy_ids":["bsg-000616","bsg-s000616"],"name":"FAIRsharing record for: STereoLithography","abbreviation":"STL","url":"https://fairsharing.org/10.25504/FAIRsharing.6xm1gd","doi":"10.25504/FAIRsharing.6xm1gd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STL files describe only the surface geometry of a three-dimensional object without any representation of color, texture or other common CAD model attributes. The STL format specifies both ASCII and binary representations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Imaging","Structure"],"taxonomies":["Not applicable"],"user_defined_tags":["3d printing"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5956,"fairsharing_record_id":619,"organisation_id":6,"relation":"maintains","created_at":"2021-09-30T09:27:44.025Z","updated_at":"2021-09-30T09:27:44.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":6,"name":"3D Systems, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"611","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-03-24T10:53:52.890Z","metadata":{"doi":"10.25504/FAIRsharing.faej7j","name":"Phallusia mammillata Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":611,"description":"The first ontology describing the anatomy and the development of Phallusia mammillata.","abbreviation":"PHMAMMADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHMAMMADO","name":"PHMAMMADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000786","bsg-s000786"],"name":"FAIRsharing record for: Phallusia mammillata Anatomy and Development Ontology","abbreviation":"PHMAMMADO","url":"https://fairsharing.org/10.25504/FAIRsharing.faej7j","doi":"10.25504/FAIRsharing.faej7j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Phallusia mammillata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Phallusia mammillata"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10455,"fairsharing_record_id":611,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T10:51:32.605Z","updated_at":"2023-03-24T10:51:32.605Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"612","type":"fairsharing_records","attributes":{"created_at":"2021-01-11T14:14:36.000Z","updated_at":"2022-07-20T12:35:42.229Z","metadata":{"doi":"10.25504/FAIRsharing.5bd3ef","name":"United States Geological Survey Thesaurus","status":"ready","contacts":[{"contact_email":"pschweitzer@usgs.gov"}],"homepage":"https://apps.usgs.gov/thesaurus/","citations":[],"identifier":612,"description":"The United States Geological Survey Thesaurus (USGS Thesaurus) is a controlled vocabulary providing category terms for scientific information products generated by the U.S. Geological Survey. It is designed as a formal thesaurus conforming to ANSI/NISO Z39.19. The thesaurus is limited in depth and specificity of coverage. It does not attempt to replicate existing controlled vocabularies. The intention is to provide sufficient contextual cues for the information seeker to determine the relevance of a resource, not to precisely locate the answer to a specific user question.","abbreviation":"USGS Thesaurus","support_links":[{"url":"https://apps.usgs.gov/thesaurus/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005},"legacy_ids":["bsg-001575","bsg-s001575"],"name":"FAIRsharing record for: United States Geological Survey Thesaurus","abbreviation":"USGS Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.5bd3ef","doi":"10.25504/FAIRsharing.5bd3ef","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The United States Geological Survey Thesaurus (USGS Thesaurus) is a controlled vocabulary providing category terms for scientific information products generated by the U.S. Geological Survey. It is designed as a formal thesaurus conforming to ANSI/NISO Z39.19. The thesaurus is limited in depth and specificity of coverage. It does not attempt to replicate existing controlled vocabularies. The intention is to provide sufficient contextual cues for the information seeker to determine the relevance of a resource, not to precisely locate the answer to a specific user question.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Data Management","Natural Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"USGS Policies and Notices","licence_id":834,"licence_url":"https://www.usgs.gov/policies-and-notices","link_id":626,"relation":"undefined"}],"grants":[{"id":5939,"fairsharing_record_id":612,"organisation_id":2953,"relation":"maintains","created_at":"2021-09-30T09:27:43.550Z","updated_at":"2021-09-30T09:27:43.550Z","grant_id":null,"is_lead":true,"saved_state":{"id":2953,"name":"United States Geological Survey (USGS)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"620","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:39.235Z","metadata":{"doi":"10.25504/FAIRsharing.rz4vfg","name":"FASTA Sequence Format","status":"ready","contacts":[{"contact_name":"William R. Pearson","contact_email":"wrp@virginia.edu"}],"homepage":"http://blast.ncbi.nlm.nih.gov/blastcgihelp.shtml","identifier":620,"description":"FASTA format is a text-based format for representing either nucleotide sequences or peptide sequences, in which nucleotides or amino acids are represented using single-letter codes. The format also allows for sequence names and comments to precede the sequences.","abbreviation":"FASTA","support_links":[{"url":"https://www.ncbi.nlm.nih.gov/mailman/listinfo/blast-announce","name":"mailing list","type":"Mailing list"}],"year_creation":1985},"legacy_ids":["bsg-000228","bsg-s000228"],"name":"FAIRsharing record for: FASTA Sequence Format","abbreviation":"FASTA","url":"https://fairsharing.org/10.25504/FAIRsharing.rz4vfg","doi":"10.25504/FAIRsharing.rz4vfg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FASTA format is a text-based format for representing either nucleotide sequences or peptide sequences, in which nucleotides or amino acids are represented using single-letter codes. The format also allows for sequence names and comments to precede the sequences.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10997},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11158},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11613},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11987}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1237,"pubmed_id":2983426,"title":"Rapid and sensitive protein similarity searches.","year":1985,"url":"http://doi.org/10.1126/science.2983426","authors":"Lipman DJ,Pearson WR","journal":"Science","doi":"10.1126/science.2983426","created_at":"2021-09-30T08:24:37.999Z","updated_at":"2021-09-30T08:24:37.999Z"}],"licence_links":[],"grants":[{"id":5957,"fairsharing_record_id":620,"organisation_id":2944,"relation":"maintains","created_at":"2021-09-30T09:27:44.049Z","updated_at":"2021-09-30T09:27:44.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5958,"fairsharing_record_id":620,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:44.075Z","updated_at":"2021-09-30T09:27:44.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"707","type":"fairsharing_records","attributes":{"created_at":"2020-01-08T13:37:40.000Z","updated_at":"2022-07-20T09:33:31.909Z","metadata":{"name":"Thesaurus of Plant Characteristics","status":"deprecated","contacts":[{"contact_name":"Eric Garnier","contact_email":"Eric.GARNIER@cefe.cnrs.fr"}],"homepage":"http://top-thesaurus.org/","citations":[{"doi":"https://doi.org/10.1111/1365-2745.12698","publication_id":2694}],"identifier":707,"description":"TOP, a Thesaurus Of Plant characteristics, defines standards for a functional approach to plant diversity by stabilizing the terminology for concepts widely used in ecology and evolution. TOP provides names, definitions, formal units and synonyms for more than 700 plant characteristics: plant traits and environmental associations. ","abbreviation":"TOP","year_creation":2016,"deprecation_date":"2022-06-30","deprecation_reason":"This record has been deprecated because the homepage no longer works, and we have not been able to get in touch with the contacts listed for this resource. Although this ontology remains available via the AgroPortal links, please use with caution. If you have any information regarding this resource, please get in touch."},"legacy_ids":["bsg-001427","bsg-s001427"],"name":"FAIRsharing record for: Thesaurus of Plant Characteristics","abbreviation":"TOP","url":"https://fairsharing.org/fairsharing_records/707","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TOP, a Thesaurus Of Plant characteristics, defines standards for a functional approach to plant diversity by stabilizing the terminology for concepts widely used in ecology and evolution. TOP provides names, definitions, formal units and synonyms for more than 700 plant characteristics: plant traits and environmental associations. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Environmental Science","Ecology","Biodiversity"],"domains":["Evolution","Phenotype"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Argentina","Australia","Canada","France","Germany","India","Italy","Netherlands","United States"],"publications":[{"id":2694,"pubmed_id":null,"title":"Towards a thesaurus of plant characteristics: an ecological contribution","year":2016,"url":"http://doi.org/https://doi.org/10.1111/1365-2745.12698","authors":"Garnier, Eric and Stahl, Ulrike et al","journal":"Journal of Ecology","doi":"https://doi.org/10.1111/1365-2745.12698","created_at":"2021-09-30T08:27:30.863Z","updated_at":"2021-09-30T08:27:30.863Z"}],"licence_links":[],"grants":[{"id":6055,"fairsharing_record_id":707,"organisation_id":1782,"relation":"maintains","created_at":"2021-09-30T09:27:47.371Z","updated_at":"2021-09-30T09:27:47.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":1782,"name":"Max Planck Institute for Biogeochemistry","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6053,"fairsharing_record_id":707,"organisation_id":3101,"relation":"maintains","created_at":"2021-09-30T09:27:47.320Z","updated_at":"2021-09-30T09:27:47.320Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6054,"fairsharing_record_id":707,"organisation_id":1134,"relation":"maintains","created_at":"2021-09-30T09:27:47.344Z","updated_at":"2021-09-30T09:27:47.344Z","grant_id":null,"is_lead":false,"saved_state":{"id":1134,"name":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6056,"fairsharing_record_id":707,"organisation_id":390,"relation":"maintains","created_at":"2021-09-30T09:27:47.394Z","updated_at":"2021-09-30T09:27:47.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":390,"name":"CEFE, Montpellier, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"708","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T14:26:08.000Z","updated_at":"2021-11-24T13:17:08.623Z","metadata":{"doi":"10.25504/FAIRsharing.338ze0","name":"Astronomy Visualization Metadata","status":"ready","contacts":[{"contact_name":"Robert Hurt","contact_email":"hurt@ipac.caltech.edu"}],"homepage":"https://www.virtualastronomy.org/avm_metadata.php","identifier":708,"description":"The primary focus of the AVM standard is on print-ready and screen ready astronomical imagery, which has been rendered from telescopic observations (also known as “pretty pictures”). Such images can combine data acquired at different wavebands and from different observatories. While the primary intent is to cover data-derived astronomical images, there are broader uses as well. Specifically, the most general subset of this schema is also appropriate for describing artwork and illustrations of astronomical subject matter.","abbreviation":"AVM","support_links":[{"url":"https://www.virtualastronomy.org/AVM_DRAFTVersion12_rlh02.pdf","name":"Specification Document (pdf)","type":"Help documentation"},{"url":"https://www.virtualastronomy.org/files/AVM-Tagging-Guidelines_15_updated2.pdf","name":"User Guide (pdf)","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000707","bsg-s000707"],"name":"FAIRsharing record for: Astronomy Visualization Metadata","abbreviation":"AVM","url":"https://fairsharing.org/10.25504/FAIRsharing.338ze0","doi":"10.25504/FAIRsharing.338ze0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary focus of the AVM standard is on print-ready and screen ready astronomical imagery, which has been rendered from telescopic observations (also known as “pretty pictures”). Such images can combine data acquired at different wavebands and from different observatories. While the primary intent is to cover data-derived astronomical images, there are broader uses as well. Specifically, the most general subset of this schema is also appropriate for describing artwork and illustrations of astronomical subject matter.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Imaging"],"taxonomies":["Not applicable"],"user_defined_tags":["Extragalactic objects","Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6057,"fairsharing_record_id":708,"organisation_id":1547,"relation":"undefined","created_at":"2021-09-30T09:27:47.420Z","updated_at":"2021-09-30T09:27:47.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":1547,"name":"IPAC","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":6059,"fairsharing_record_id":708,"organisation_id":2617,"relation":"undefined","created_at":"2021-09-30T09:27:47.470Z","updated_at":"2021-09-30T09:27:47.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":2617,"name":"Spritzer Science Center","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":6058,"fairsharing_record_id":708,"organisation_id":880,"relation":"maintains","created_at":"2021-09-30T09:27:47.444Z","updated_at":"2021-09-30T09:27:47.444Z","grant_id":null,"is_lead":false,"saved_state":{"id":880,"name":"ESA Science and Technology Hubble","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6060,"fairsharing_record_id":708,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:27:47.494Z","updated_at":"2021-09-30T09:27:47.494Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"709","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T10:02:20.000Z","updated_at":"2024-01-28T15:58:08.410Z","metadata":{"doi":"10.25504/FAIRsharing.9d38e2","name":"Uniform Resource Locator","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"ietf-info@ietf.org"}],"homepage":"https://tools.ietf.org/html/rfc1630","citations":[],"identifier":709,"description":"URL (Uniform Resource Locator) – the typical \"address\" of web content. It is a kind of URI (Uniform Resource Identifier) that begins with \"http://\" and consists of a string of characters used to identify or name a resource on the Internet. Such identification enables interaction with representations of the resource over a network, typically the World Wide Web, using the HTTP protocol. Well-managed URL redirection can make URLs as persistent as any identifier. Resolution depends on HTTP redirection and can be managed through an API or a user interface. A URL is a type of URI that identifies a resource via a representation of its primary access mechanism (e.g., its network \"location\"), rather than by some other attributes it may have (see https://www.w3.org/TR/uri-clarification/#contemporary).","abbreviation":"URL","support_links":[{"url":"https://www.ietf.org/rfc/rfc2718.txt","name":"Guidelines for New URL Schemes","type":"Help documentation"},{"url":"https://www.ietf.org/rfc/rfc2717.txt","name":"Registration Procedures for URL Scheme Names","type":"Help documentation"}],"year_creation":1994,"regular_expression":"^(ftp|http|https):\\/\\/[^ \"]+$"},"legacy_ids":["bsg-001186","bsg-s001186"],"name":"FAIRsharing record for: Uniform Resource Locator","abbreviation":"URL","url":"https://fairsharing.org/10.25504/FAIRsharing.9d38e2","doi":"10.25504/FAIRsharing.9d38e2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: URL (Uniform Resource Locator) – the typical \"address\" of web content. It is a kind of URI (Uniform Resource Identifier) that begins with \"http://\" and consists of a string of characters used to identify or name a resource on the Internet. Such identification enables interaction with representations of the resource over a network, typically the World Wide Web, using the HTTP protocol. Well-managed URL redirection can make URLs as persistent as any identifier. Resolution depends on HTTP redirection and can be managed through an API or a user interface. A URL is a type of URI that identifies a resource via a representation of its primary access mechanism (e.g., its network \"location\"), rather than by some other attributes it may have (see https://www.w3.org/TR/uri-clarification/#contemporary).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17384}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":3016,"relation":"applies_to_content"}],"grants":[{"id":9663,"fairsharing_record_id":709,"organisation_id":3167,"relation":"maintains","created_at":"2022-07-11T12:31:45.761Z","updated_at":"2022-07-28T23:41:32.082Z","grant_id":null,"is_lead":true,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":9706,"fairsharing_record_id":709,"organisation_id":3387,"relation":"maintains","created_at":"2022-07-28T23:41:32.146Z","updated_at":"2022-07-28T23:41:32.146Z","grant_id":null,"is_lead":true,"saved_state":{"id":3387,"name":"Office of Scientific and Technical Information","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":6061,"fairsharing_record_id":709,"organisation_id":1541,"relation":"maintains","created_at":"2021-09-30T09:27:47.520Z","updated_at":"2021-09-30T09:27:47.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":1541,"name":"Internet Engineering Task Force (IEFT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"710","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-07-20T11:45:05.802Z","metadata":{"doi":"10.25504/FAIRsharing.j4encb","name":"XEML Environment Ontology","status":"deprecated","contacts":[{"contact_name":"Kenny Billiau","contact_email":"kenny.billiau@ki.se"}],"homepage":"http://xeo.codeplex.com/","identifier":710,"description":"XeO has been created to help plant scientists in documenting and sharing metadata describing the abiotic environment.","abbreviation":"XEO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/XEO","name":"XEO","portal":"BioPortal"}],"deprecation_date":"2020-02-04","deprecation_reason":"The project homepage no longer exists, and we cannot find a current project site. Please get in touch if you have any additional information."},"legacy_ids":["bsg-000849","bsg-s000849"],"name":"FAIRsharing record for: XEML Environment Ontology","abbreviation":"XEO","url":"https://fairsharing.org/10.25504/FAIRsharing.j4encb","doi":"10.25504/FAIRsharing.j4encb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XeO has been created to help plant scientists in documenting and sharing metadata describing the abiotic environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Experimental measurement","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1089,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"711","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-12-21T14:57:24.617Z","metadata":{"doi":"10.25504/FAIRsharing.rfrsk4","name":"Tribolium Ontology","status":"deprecated","contacts":[{"contact_name":"Jürgen Dönitz, Daniela Grossmann","contact_email":"ontology@ibeetle-base.uni-goettingen.de"}],"homepage":"http://ibeetle-base.uni-goettingen.de/ontology/overview.jsf","citations":[],"identifier":711,"description":"TrOn is an ontology about the anatomical structures of the red flour beetle Tribolium castaneum in the developmental stages larva, pupa and adult.","abbreviation":"TRON","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TRON","name":"TRON","portal":"BioPortal"}],"deprecation_date":"2022-10-05","deprecation_reason":"The project homepage is available, however the ontology is no longer accessible, and BioPortal version has not been updated since 2013."},"legacy_ids":["bsg-000850","bsg-s000850"],"name":"FAIRsharing record for: Tribolium Ontology","abbreviation":"TRON","url":"https://fairsharing.org/10.25504/FAIRsharing.rfrsk4","doi":"10.25504/FAIRsharing.rfrsk4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TrOn is an ontology about the anatomical structures of the red flour beetle Tribolium castaneum in the developmental stages larva, pupa and adult.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":9971,"fairsharing_record_id":711,"organisation_id":3731,"relation":"maintains","created_at":"2022-10-06T13:50:25.235Z","updated_at":"2022-10-06T13:50:25.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":3731,"name":"University of Göttingen","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"712","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T15:34:36.388Z","metadata":{"doi":"10.25504/FAIRsharing.drnvw0","name":"International Classification for Patient Safety","status":"ready","contacts":[{"contact_name":"Oscar Corcho","contact_email":"ocorcho@fi.upm.es","contact_orcid":"0000-0002-9260-0753"}],"homepage":"https://www.who.int/publications/i/item/WHO-IER-PSP-2010.2","citations":[],"identifier":712,"description":"The International Classification for Patient Safety (ICPS) is intended to define, harmonize and group patient safety concepts into an internationally agreed classification in a way that is conducive to learning and improving patient safety across systems. It should be noted that the conceptual framework for the ICPS is not a classification. Instead it describes a comprehensive information model for understanding the epistemology of patient safety incidents.","abbreviation":"ICPS","support_links":[],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICPS","name":"ICPS","portal":"BioPortal"}]},"legacy_ids":["bsg-002672","bsg-s002672"],"name":"FAIRsharing record for: International Classification for Patient Safety","abbreviation":"ICPS","url":"https://fairsharing.org/10.25504/FAIRsharing.drnvw0","doi":"10.25504/FAIRsharing.drnvw0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification for Patient Safety (ICPS) is intended to define, harmonize and group patient safety concepts into an internationally agreed classification in a way that is conducive to learning and improving patient safety across systems. It should be noted that the conceptual framework for the ICPS is not a classification. Instead it describes a comprehensive information model for understanding the epistemology of patient safety incidents.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12451}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Primary Health Care","Biomedical Science"],"domains":["Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","France","Netherlands","Spain","United Kingdom","United States"],"publications":[{"id":2752,"pubmed_id":19147595,"title":"Towards an International Classification for Patient Safety: the conceptual framework.","year":2009,"url":"http://doi.org/10.1093/intqhc/mzn054","authors":"Sherman H,Castro G,Fletcher M,Hatlie M,Hibbert P,Jakob R,Koss R,Lewalle P,Loeb J,Perneger T,Runciman W,Thomson R,Van Der Schaaf T,Virtanen M","journal":"Int J Qual Health Care","doi":"10.1093/intqhc/mzn054","created_at":"2021-09-30T08:27:38.315Z","updated_at":"2021-09-30T08:27:38.315Z"}],"licence_links":[],"grants":[{"id":6062,"fairsharing_record_id":712,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:47.544Z","updated_at":"2021-09-30T09:27:47.544Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6063,"fairsharing_record_id":712,"organisation_id":2249,"relation":"maintains","created_at":"2021-09-30T09:27:47.570Z","updated_at":"2021-09-30T09:27:47.570Z","grant_id":null,"is_lead":false,"saved_state":{"id":2249,"name":"Ontology Engineering Group, Universidad Politecnica de Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"714","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-12-27T17:19:57.975Z","metadata":{"doi":"10.25504/FAIRsharing.m40bhw","name":"Agronomy Ontology","status":"in_development","contacts":[{"contact_name":"Marie-Angélique Laporte","contact_email":"m.a.laporte@cgiar.org"}],"homepage":"https://bigdata.cgiar.org/resources/agronomy-ontology/","citations":[],"identifier":714,"description":"AgrO, the Agronomy Ontology, describes agronomic practices, agronomic techniques, and agronomic variables used in agronomic experiments. AgrO is being built by CGIAR using traits identified by agronomists, the ICASA variables, and other existing ontologies such as ENVO, UO, and PATO. It will complement existing crop, livestock, and fish ontologies to enable harmonized approaches to data collection, facilitating easier data sharing and reuse. A key use case for AgrO is the Agronomy Field Information Management System (AgroFIMS). AgroFIMS enables digital collection of agronomic data that is semantically described a priori with agronomic terms from AgrO.","abbreviation":"AgrO","support_links":[{"url":"https://github.com/AgriculturalSemantics/agro/issues/","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://groups.google.com/group/agronomyOntology","name":"Google Group","type":"Mailing list"}],"year_creation":2016,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AGRO","name":"AGRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/agro.html","name":"agro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000733","bsg-s000733"],"name":"FAIRsharing record for: Agronomy Ontology","abbreviation":"AgrO","url":"https://fairsharing.org/10.25504/FAIRsharing.m40bhw","doi":"10.25504/FAIRsharing.m40bhw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AgrO, the Agronomy Ontology, describes agronomic practices, agronomic techniques, and agronomic variables used in agronomic experiments. AgrO is being built by CGIAR using traits identified by agronomists, the ICASA variables, and other existing ontologies such as ENVO, UO, and PATO. It will complement existing crop, livestock, and fish ontologies to enable harmonized approaches to data collection, facilitating easier data sharing and reuse. A key use case for AgrO is the Agronomy Field Information Management System (AgroFIMS). AgroFIMS enables digital collection of agronomic data that is semantically described a priori with agronomic terms from AgrO.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14556}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Plant Breeding","Agronomy","Agriculture"],"domains":["Cropping systems"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":61,"relation":"undefined"}],"grants":[{"id":6065,"fairsharing_record_id":714,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:47.621Z","updated_at":"2021-09-30T09:27:47.621Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6066,"fairsharing_record_id":714,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:47.645Z","updated_at":"2021-09-30T09:27:47.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"676","type":"fairsharing_records","attributes":{"created_at":"2018-08-22T17:45:14.000Z","updated_at":"2023-09-29T11:54:57.024Z","metadata":{"doi":"10.25504/FAIRsharing.98c4f4","name":"Information technology -- Hypermedia/Time-based Structuring Language (HyTime)","status":"ready","contacts":[{"contact_name":"Toshiko Kimura","contact_email":"kimura@itscj.ipsj.or.jp"}],"homepage":"https://www.iso.org/standard/29303.html","citations":[],"identifier":676,"description":"The Hypermedia/Time-based Structuring Language (HyTime), defined in this International Standard, provides facilities for representing static and dynamic information that is processed and interchanged by hypertext and multimedia applications. HyTime is an application of ISO 8879, the Standard Generalized Markup Language (SGML). HyTime provides standardized mechanisms for specifying interconnections (hyperlinks) within and between documents and other information objects, and for scheduling multimedia information in time and space.","abbreviation":"ISO/IEC 10744:1997","support_links":[{"url":"https://www.iso.org/contents/data/standard/02/93/29303.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1992},"legacy_ids":["bsg-001243","bsg-s001243"],"name":"FAIRsharing record for: Information technology -- Hypermedia/Time-based Structuring Language (HyTime)","abbreviation":"ISO/IEC 10744:1997","url":"https://fairsharing.org/10.25504/FAIRsharing.98c4f4","doi":"10.25504/FAIRsharing.98c4f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hypermedia/Time-based Structuring Language (HyTime), defined in this International Standard, provides facilities for representing static and dynamic information that is processed and interchanged by hypertext and multimedia applications. HyTime is an application of ISO 8879, the Standard Generalized Markup Language (SGML). HyTime provides standardized mechanisms for specifying interconnections (hyperlinks) within and between documents and other information objects, and for scheduling multimedia information in time and space.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":878,"relation":"undefined"}],"grants":[{"id":6031,"fairsharing_record_id":676,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:27:46.602Z","updated_at":"2021-09-30T09:27:46.602Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10913,"fairsharing_record_id":676,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:06:03.518Z","updated_at":"2023-09-27T14:06:03.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"677","type":"fairsharing_records","attributes":{"created_at":"2018-10-23T18:13:59.000Z","updated_at":"2023-04-20T16:28:03.139Z","metadata":{"doi":"10.25504/FAIRsharing.8641d5","name":"OpenAIRE Guidelines for CRIS Managers based on CERIF-XML","status":"ready","contacts":[{"contact_name":"Jochen Schirrwagen","contact_email":"jochen.schirrwagen@uni-bielefeld.de","contact_orcid":"0000-0002-0458-1004"}],"homepage":"https://guidelines.openaire.eu/en/latest/cris/index.html","citations":[],"identifier":677,"description":"The Guidelines provide orientation for CRIS managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. By implementing the Guidelines, CRIS managers support the inclusion and therefore the reuse of metadata in their systems within the OpenAIRE infrastructure.","abbreviation":null,"support_links":[{"url":"https://github.com/openaire/guidelines-cris-managers","name":"GitHub feedback","type":"Github"},{"url":"https://openaire-guidelines-for-cris-managers.readthedocs.io/en/latest/","type":"Help documentation"},{"url":"https://zenodo.org/record/2316420#.XlN_B5NKg6g","name":"OpenAIRE Guidelines for CRIS Managers 1.1","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001333","bsg-s001333"],"name":"FAIRsharing record for: OpenAIRE Guidelines for CRIS Managers based on CERIF-XML","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8641d5","doi":"10.25504/FAIRsharing.8641d5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Guidelines provide orientation for CRIS managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. By implementing the Guidelines, CRIS managers support the inclusion and therefore the reuse of metadata in their systems within the OpenAIRE infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12947},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13343}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":413,"relation":"undefined"}],"grants":[{"id":6032,"fairsharing_record_id":677,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:46.628Z","updated_at":"2021-09-30T09:27:46.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9710,"fairsharing_record_id":677,"organisation_id":2252,"relation":"maintains","created_at":"2022-07-29T13:01:45.795Z","updated_at":"2022-07-29T13:01:45.795Z","grant_id":null,"is_lead":true,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"678","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-07-20T13:10:29.557Z","metadata":{"doi":"10.25504/FAIRsharing.nbfwwv","name":"Provenance, Authoring and Versioning Ontology","status":"ready","contacts":[{"contact_name":"Stian Soiland-Reyes","contact_email":"stian@soiland-reyes.com","contact_orcid":"0000-0001-9842-9718"}],"homepage":"https://github.com/pav-ontology/pav/","identifier":678,"description":"PAV is a lightweight ontology for tracking Provenance, Authoring and Versioning. PAV specializes the W3C provenance ontology PROV-O in order to describe authorship, curation and digital creation of online resources. This ontology describes the defined PAV properties and their usage. Note that PAV does not define any explicit classes or domain/ranges, as every property is meant to be used directly on the described online resource.","abbreviation":"PAV","support_links":[{"url":"paolo.ciccarese@gmail.com","name":"Paolo Ciccarese","type":"Support email"},{"url":"https://groups.google.com/forum/#!forum/pav-ontology","name":"PAV Forum","type":"Forum"},{"url":"https://github.com/pav-ontology/pav/wiki/","name":"Usage","type":"Github"},{"url":"http://pav-ontology.github.io/pav/","name":"Ontology documentation","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PAV","name":"PAV","portal":"BioPortal"}]},"legacy_ids":["bsg-001060","bsg-s001060"],"name":"FAIRsharing record for: Provenance, Authoring and Versioning Ontology","abbreviation":"PAV","url":"https://fairsharing.org/10.25504/FAIRsharing.nbfwwv","doi":"10.25504/FAIRsharing.nbfwwv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PAV is a lightweight ontology for tracking Provenance, Authoring and Versioning. PAV specializes the W3C provenance ontology PROV-O in order to describe authorship, curation and digital creation of online resources. This ontology describes the defined PAV properties and their usage. Note that PAV does not define any explicit classes or domain/ranges, as every property is meant to be used directly on the described online resource.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16995}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Subject Agnostic"],"domains":["Citation","Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France","United Kingdom","United States"],"publications":[{"id":985,"pubmed_id":24267948,"title":"PAV ontology: provenance, authoring and versioning.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-37","authors":"Ciccarese P,Soiland-Reyes S,Belhajjame K,Gray AJ,Goble C,Clark T","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-37","created_at":"2021-09-30T08:24:08.997Z","updated_at":"2021-09-30T08:24:08.997Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1286,"relation":"undefined"}],"grants":[{"id":6033,"fairsharing_record_id":678,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:27:46.660Z","updated_at":"2021-09-30T09:27:46.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6034,"fairsharing_record_id":678,"organisation_id":1838,"relation":"maintains","created_at":"2021-09-30T09:27:46.685Z","updated_at":"2021-09-30T09:27:46.685Z","grant_id":null,"is_lead":false,"saved_state":{"id":1838,"name":"MIND Informatics, Mass General Hospital, Harvard Medical School, Boston, MA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"679","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T13:33:00.000Z","updated_at":"2022-12-14T08:23:59.118Z","metadata":{"doi":"10.25504/FAIRsharing.AcUAbT","name":"Simulation Data Model","status":"ready","contacts":[{"contact_name":"IVOA Theory Interest Group","contact_email":"theory@ivoa.net"}],"homepage":"http://ivoa.net/documents/SimDM/index.html","citations":[{"publication_id":2943}],"identifier":679,"description":"The Simulation Data Model describes numerical computer simulations of astrophysical systems. The primary goal of this standard is to support discovery of simulations by describing those aspects of them that scientists might wish to query on, i.e. it is a model for meta-data describing simulations. This document does not propose a protocol for using this model. IVOA protocols are being developed and are supposed to use the model, either in its original form or in a form derived from the model proposed here, but more suited to the particular protocol. The SimDM has been developed in the IVOA Theory Interest Group with assistance of representatives of relevant working groups, in particular DM and Semantics.","abbreviation":"SimDM","support_links":[{"url":"http://mail.ivoa.net/mailman/listinfo/theory","name":"IVOA Theory Interest Group Mailing List","type":"Mailing list"}],"year_creation":2012},"legacy_ids":["bsg-001162","bsg-s001162"],"name":"FAIRsharing record for: Simulation Data Model","abbreviation":"SimDM","url":"https://fairsharing.org/10.25504/FAIRsharing.AcUAbT","doi":"10.25504/FAIRsharing.AcUAbT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simulation Data Model describes numerical computer simulations of astrophysical systems. The primary goal of this standard is to support discovery of simulations by describing those aspects of them that scientists might wish to query on, i.e. it is a model for meta-data describing simulations. This document does not propose a protocol for using this model. IVOA protocols are being developed and are supposed to use the model, either in its original form or in a form derived from the model proposed here, but more suited to the particular protocol. The SimDM has been developed in the IVOA Theory Interest Group with assistance of representatives of relevant working groups, in particular DM and Semantics.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11456}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2943,"pubmed_id":null,"title":"Simulation Data Model Version 1.0","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0503L","authors":"Lemson, Gerard; Wozniak, Herve; Bourges, Laurent; Cervino, Miguel; Gheller, Claudio; Gray, Norman; LePetit, Franck; Louys, Mireille; Ooghe, Benjamin; Wagner, Rick","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.705Z","updated_at":"2021-09-30T08:28:02.705Z"}],"licence_links":[],"grants":[{"id":6035,"fairsharing_record_id":679,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:46.716Z","updated_at":"2021-09-30T09:27:46.716Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6037,"fairsharing_record_id":679,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:27:46.797Z","updated_at":"2021-09-30T09:27:46.797Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6036,"fairsharing_record_id":679,"organisation_id":1578,"relation":"maintains","created_at":"2021-09-30T09:27:46.757Z","updated_at":"2021-09-30T09:27:46.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":1578,"name":"IVOA Theory Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"680","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.642Z","metadata":{"doi":"10.25504/FAIRsharing.vgx074","name":"Master Drug Data Base Clinical Drugs","status":"ready","contacts":[{"contact_name":"Karen Eckert","contact_email":"keckert@drugfacts.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MDDB","identifier":680,"description":"Master Drug Data Base provides comprehensive and current drug information from a single source. The resource provides pricing and descriptive drug information on name brand, generic, prescription and OTC medications, and herbal products. It includes industry standard identifiers for all brand and generic drugs on the market including National Drug Code (NDC), Universal Product Code (UPC) and Health Related Item (HRI) numbers.","abbreviation":"MDDB","year_creation":2013},"legacy_ids":["bsg-002651","bsg-s002651"],"name":"FAIRsharing record for: Master Drug Data Base Clinical Drugs","abbreviation":"MDDB","url":"https://fairsharing.org/10.25504/FAIRsharing.vgx074","doi":"10.25504/FAIRsharing.vgx074","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Master Drug Data Base provides comprehensive and current drug information from a single source. The resource provides pricing and descriptive drug information on name brand, generic, prescription and OTC medications, and herbal products. It includes industry standard identifiers for all brand and generic drugs on the market including National Drug Code (NDC), Universal Product Code (UPC) and Health Related Item (HRI) numbers.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11724}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Chemical entity","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":341,"relation":"undefined"}],"grants":[{"id":6038,"fairsharing_record_id":680,"organisation_id":3242,"relation":"maintains","created_at":"2021-09-30T09:27:46.833Z","updated_at":"2021-09-30T09:27:46.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":3242,"name":"Wolters Kluwer","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"681","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-08-05T08:38:23.592Z","metadata":{"doi":"10.25504/FAIRsharing.rja8qp","name":"Human Ancestry Ontology","status":"ready","contacts":[{"contact_name":"Danielle Welter","contact_email":"dwelter.ontologist@gmail.com","contact_orcid":null}],"homepage":"https://github.com/EBISPOT/hancestro","citations":[{"doi":"10.1186/s13059-018-1396-2","pubmed_id":29448949,"publication_id":2531}],"identifier":681,"description":"The Human Ancestry Ontology (HANCESTRO) provides a systematic description of the ancestry concepts used in the NHGRI-EBI Catalog of published genome-wide association studies.","abbreviation":"HANCESTRO","support_links":[{"url":"https://github.com/EBISPOT/ancestro/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HANCESTRO","name":"HANCESTRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/hancestro.html","name":"hancestro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000819","bsg-s000819"],"name":"FAIRsharing record for: Human Ancestry Ontology","abbreviation":"HANCESTRO","url":"https://fairsharing.org/10.25504/FAIRsharing.rja8qp","doi":"10.25504/FAIRsharing.rja8qp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Ancestry Ontology (HANCESTRO) provides a systematic description of the ancestry concepts used in the NHGRI-EBI Catalog of published genome-wide association studies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Human Genetics","Population Genetics"],"domains":["Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2531,"pubmed_id":29448949,"title":"A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog.","year":2018,"url":"http://doi.org/10.1186/s13059-018-1396-2","authors":"Morales J,Welter D,Bowler EH,Cerezo M,Harris LW,McMahon AC,Hall P,Junkins HA,Milano A,Hastings E,Malangone C,Buniello A,Burdett T,Flicek P,Parkinson H,Cunningham F,Hindorff LA,MacArthur JAL","journal":"Genome Biol","doi":"10.1186/s13059-018-1396-2","created_at":"2021-09-30T08:27:10.483Z","updated_at":"2021-09-30T08:27:10.483Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":718,"relation":"undefined"}],"grants":[{"id":6040,"fairsharing_record_id":681,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:46.917Z","updated_at":"2021-09-30T09:27:46.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"690","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:40.292Z","metadata":{"doi":"10.25504/FAIRsharing.8qzmtr","name":"PSI Molecular Interaction Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Sandra Orchard","contact_email":"orchard@ebi.ac.uk"}],"homepage":"http://www.psidev.info/groups/molecular-interactions","identifier":690,"description":"A structured controlled vocabulary for the annotation of experiments concerned with protein-protein interactions. Developed by the HUPO Proteomics Standards Initiative. The Molecular Interactions Working group page can be found at http://www.psidev.info/groups/molecular-interactions.","abbreviation":"PSI-MI CV","support_links":[{"url":"psi-mi@ebi.ac.uk","name":"General Contact","type":"Support email"},{"url":"pporras@ebi.ac.uk","name":"Pablo Porras Millan","type":"Support email"},{"url":"http://www.psidev.info/groups/molecular-interactions","name":"Molecular Interactions Working Group","type":"Help documentation"},{"url":"https://github.com/HUPO-PSI/psi-mi-CV","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MI","name":"MI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mi.html","name":"mi","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000136","bsg-s000136"],"name":"FAIRsharing record for: PSI Molecular Interaction Controlled Vocabulary","abbreviation":"PSI-MI CV","url":"https://fairsharing.org/10.25504/FAIRsharing.8qzmtr","doi":"10.25504/FAIRsharing.8qzmtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the annotation of experiments concerned with protein-protein interactions. Developed by the HUPO Proteomics Standards Initiative. The Molecular Interactions Working group page can be found at http://www.psidev.info/groups/molecular-interactions.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11430},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11957}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Protein interaction","Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1231,"relation":"undefined"}],"grants":[{"id":6049,"fairsharing_record_id":690,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:27:47.221Z","updated_at":"2021-09-30T09:27:47.221Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6048,"fairsharing_record_id":690,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:47.187Z","updated_at":"2021-09-30T09:27:47.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"691","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-03-14T18:34:23.018Z","metadata":{"doi":"10.25504/FAIRsharing.p1ss22","name":"DICOM Controlled Terminology","status":"ready","contacts":[{"contact_name":"David Clunie","contact_email":"dclunie@dclunie.com"}],"homepage":"http://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_D.html","citations":[],"identifier":691,"description":"DICOM Controlled Terminology (PS3.16 2017c Annex D)","abbreviation":"DCM","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DCM","name":"DCM","portal":"BioPortal"}]},"legacy_ids":["bsg-000828","bsg-s000828"],"name":"FAIRsharing record for: DICOM Controlled Terminology","abbreviation":"DCM","url":"https://fairsharing.org/10.25504/FAIRsharing.p1ss22","doi":"10.25504/FAIRsharing.p1ss22","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DICOM Controlled Terminology (PS3.16 2017c Annex D)","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12112},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16900}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Imaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"695","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-07-20T12:48:57.296Z","metadata":{"doi":"10.25504/FAIRsharing.39ff0a","name":"Resource Description and Access Vocabularies","status":"ready","contacts":[{"contact_name":"RSC Technical Team Liaison Officer","contact_email":"techo@rdatoolkit.org"}],"homepage":"http://www.rdaregistry.info/","identifier":695,"description":"Resource Description and Access Vocabularies (RDA) Vocabularies is a representation of the RDA entities, elements, relationship designators, and controlled terms in RDF (Resource Description Framework). RDA is a standard for descriptive cataloging of bibliographic data. It is intended for use by libraries and other cultural organizations such as museums and archives. The Vocabularies are intended to support linked data applications using RDA.","abbreviation":"RDA Vocabularies","support_links":[{"url":"https://www.rdaregistry.info/rgFAQ","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.rdaregistry.info/rgData/","name":"Data Using the RDA Vocabularies","type":"Help documentation"},{"url":"https://github.com/RDARegistry/RDA-Vocabularies","name":"GitHub Project","type":"Github"},{"url":"https://www.rdaregistry.info/rgAbout/rdaref/dataflow/","name":"About","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Resource_Description_and_Access","name":"RDA Wikipedia Entry","type":"Wikipedia"}],"year_creation":2017,"associated_tools":[{"url":"http://www.rdatoolkit.org/","name":"RDA Toolkit"},{"url":"https://www.rdaregistry.info/rgTools/","name":"Tool Listing"}]},"legacy_ids":["bsg-000832","bsg-s000832"],"name":"FAIRsharing record for: Resource Description and Access Vocabularies","abbreviation":"RDA Vocabularies","url":"https://fairsharing.org/10.25504/FAIRsharing.39ff0a","doi":"10.25504/FAIRsharing.39ff0a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Resource Description and Access Vocabularies (RDA) Vocabularies is a representation of the RDA entities, elements, relationship designators, and controlled terms in RDF (Resource Description Framework). RDA is a standard for descriptive cataloging of bibliographic data. It is intended for use by libraries and other cultural organizations such as museums and archives. The Vocabularies are intended to support linked data applications using RDA.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science"],"domains":["Citation","Bibliography","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":393,"relation":"undefined"}],"grants":[{"id":6050,"fairsharing_record_id":695,"organisation_id":2435,"relation":"maintains","created_at":"2021-09-30T09:27:47.244Z","updated_at":"2021-09-30T09:27:47.244Z","grant_id":null,"is_lead":true,"saved_state":{"id":2435,"name":"Resource Description and Access Vocabularies (RDA) Steering Committee (RSC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"697","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T12:46:34.000Z","updated_at":"2022-07-20T12:48:57.240Z","metadata":{"doi":"10.25504/FAIRsharing.RlEMBA","name":"Ontology for Provenance and Plans","status":"ready","contacts":[{"contact_name":"Daniel Garijo","contact_email":"dgarijo@isi.edu"}],"homepage":"http://purl.org/net/p-plan","identifier":697,"description":"The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself.","abbreviation":"P-PLAN","support_links":[{"url":"gil@isi.edu","name":"Yolanda Gil","type":"Support email"}],"year_creation":2011},"legacy_ids":["bsg-001432","bsg-s001432"],"name":"FAIRsharing record for: Ontology for Provenance and Plans","abbreviation":"P-PLAN","url":"https://fairsharing.org/10.25504/FAIRsharing.RlEMBA","doi":"10.25504/FAIRsharing.RlEMBA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Spain","United States"],"publications":[{"id":2705,"pubmed_id":null,"title":"Augmenting PROV with Plans in P-PLAN: Scientific Processes as Linked Data","year":2012,"url":"http://www.isi.edu/~gil/papers/garijo-gil-lisc12.pdf","authors":"Daniel Garijo and Yolanda Gil","journal":"in Proceedings of the 2nd International Workshop on Linked Science 2012","doi":null,"created_at":"2021-09-30T08:27:32.239Z","updated_at":"2021-09-30T08:27:32.239Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Generic (CC BY-NC-SA 2.0)","licence_id":179,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.0/","link_id":1715,"relation":"undefined"}],"grants":[{"id":6051,"fairsharing_record_id":697,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:27:47.270Z","updated_at":"2021-09-30T09:27:47.270Z","grant_id":null,"is_lead":true,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"698","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-03-23T10:05:28.934Z","metadata":{"doi":"10.25504/FAIRsharing.gaqfk4","name":"HGeneCodonOntology","status":"deprecated","contacts":[{"contact_name":"Hanfei Bao","contact_email":"hanfeib@gmail.com"}],"homepage":"http://blog.51.ca/u-345129/","citations":[],"identifier":698,"description":"This ontology contains the information of the frequency of usage and the relative frequency of usage of Human Gene Codons, to be used to the operations by The Project Of HIV Ontology.","abbreviation":"HCODONONT","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HCODONONT","name":"HCODONONT","portal":"BioPortal"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-000835","bsg-s000835"],"name":"FAIRsharing record for: HGeneCodonOntology","abbreviation":"HCODONONT","url":"https://fairsharing.org/10.25504/FAIRsharing.gaqfk4","doi":"10.25504/FAIRsharing.gaqfk4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology contains the information of the frequency of usage and the relative frequency of usage of Human Gene Codons, to be used to the operations by The Project Of HIV Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"700","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2023-03-13T15:39:28.378Z","metadata":{"doi":"10.25504/FAIRsharing.v5ymcw","name":"Radiation Oncology Structures Ontology","status":"ready","contacts":[{"contact_name":"Jean-Emmanuel Bibault","contact_email":"jean-emmanuel.bibault@aphp.fr"}],"homepage":"https://github.com/jebibault/Radiation-Oncology-Structures-Ontology","citations":[],"identifier":700,"description":"This ontology describes commonly contoured (anatomical and treatment planning) structures for radiation treatment planning. 22000 structures labels (created over a 16 years period in our radiation department) were extracted, classified and categorized to produce this ontology. Lymph nodes delineation international guidelines are provided. This ontology was created to ease and standardize the integration of radiation oncology data into clinical datawarehouses for multicentric studies. The high granularity of this ontology will allow precise dosimetric evaluations.","abbreviation":"ROS","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ROS","name":"ROS","portal":"BioPortal"}]},"legacy_ids":["bsg-000841","bsg-s000841"],"name":"FAIRsharing record for: Radiation Oncology Structures Ontology","abbreviation":"ROS","url":"https://fairsharing.org/10.25504/FAIRsharing.v5ymcw","doi":"10.25504/FAIRsharing.v5ymcw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology describes commonly contoured (anatomical and treatment planning) structures for radiation treatment planning. 22000 structures labels (created over a 16 years period in our radiation department) were extracted, classified and categorized to produce this ontology. Lymph nodes delineation international guidelines are provided. This ontology was created to ease and standardize the integration of radiation oncology data into clinical datawarehouses for multicentric studies. The high granularity of this ontology will allow precise dosimetric evaluations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiation Oncology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"701","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-01-11T14:34:45.480Z","metadata":{"doi":"10.25504/FAIRsharing.4wden0","name":"EDDA Publication Types Taxonomy","status":"deprecated","contacts":[{"contact_name":"Tanja Bekhuis","contact_email":"tanja.bekhuis@tcbinfosci.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/EDDA_PT","citations":[],"identifier":701,"description":"The EDDA Publication Types Taxonomy (v1.0) was developed by Tanja Bekhuis (Principal Scientist) and Eugene Tseytlin (Systems Developer) of the Evidence in Documents, Discovery, and Analytics (EDDA) Group. The EDDA Group is a division of TCB Research \u0026 Indexing LLC. V","abbreviation":"EDDA_PT","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDDA_PT","name":"EDDA_PT","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"This resource homepage cannot be found, and the terminology only exists via its BioPortal record. This record has therefore been deprecated. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000842","bsg-s000842"],"name":"FAIRsharing record for: EDDA Publication Types Taxonomy","abbreviation":"EDDA_PT","url":"https://fairsharing.org/10.25504/FAIRsharing.4wden0","doi":"10.25504/FAIRsharing.4wden0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EDDA Publication Types Taxonomy (v1.0) was developed by Tanja Bekhuis (Principal Scientist) and Eugene Tseytlin (Systems Developer) of the Evidence in Documents, Discovery, and Analytics (EDDA) Group. The EDDA Group is a division of TCB Research \u0026 Indexing LLC. V","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems"],"domains":["Bibliography","Publication"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":2550,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"702","type":"fairsharing_records","attributes":{"created_at":"2015-02-23T13:34:34.000Z","updated_at":"2021-11-24T13:18:40.387Z","metadata":{"doi":"10.25504/FAIRsharing.enpfm4","name":"mzXML","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"psidev-ms-dev@lists.sourceforge.net"}],"homepage":"http://en.wikipedia.org/wiki/Mass_spectrometry_data_format","identifier":702,"description":"mzXML an open, generic XML (extensible markup language) representation of MS data. This format is now deprecated and it has been superseded by mzML","abbreviation":"mzXML","deprecation_date":"2015-04-08","deprecation_reason":"This resource is obsolete, and has been subsumed (together with mzData) into mzML. Please use mzML instead (https://www.biosharing.org/bsg-000112). For more information, see http://www.psidev.info/groups/mass-spectrometry"},"legacy_ids":["bsg-000583","bsg-s000583"],"name":"FAIRsharing record for: mzXML","abbreviation":"mzXML","url":"https://fairsharing.org/10.25504/FAIRsharing.enpfm4","doi":"10.25504/FAIRsharing.enpfm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mzXML an open, generic XML (extensible markup language) representation of MS data. This format is now deprecated and it has been superseded by mzML","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10917}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":735,"pubmed_id":15529173,"title":"A common open representation of mass spectrometry data and its application to proteomics researc","year":2004,"url":"http://doi.org/10.1038/nbt1031","authors":"Pedrioli PG, Eng JK, Hubley R, Vogelzang M, Deutsch EW, Raught B, Pratt B, Nilsson E, Angeletti RH, Apweiler R, Cheung K, Costello CE, Hermjakob H, Huang S, Julian RK, Kapp E, McComb ME, Oliver SG, Omenn G, Paton NW, Simpson R, Smith R, Taylor CF, Zhu W, Aebersold R.","journal":"Nat Biotechnology","doi":"10.1038/nbt1031","created_at":"2021-09-30T08:23:40.995Z","updated_at":"2021-09-30T08:23:40.995Z"},{"id":736,"pubmed_id":16307524,"title":"What is mzXML good for?","year":2005,"url":"http://doi.org/10.1586/14789450.2.6.839","authors":"Lin SM, Zhu L, Winter AQ, Sasinowski M, Kibbe WA.","journal":"Expert Rev Proteomics","doi":"10.1586/14789450.2.6.839","created_at":"2021-09-30T08:23:41.095Z","updated_at":"2021-09-30T08:23:41.095Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"723","type":"fairsharing_records","attributes":{"created_at":"2016-11-01T13:41:13.000Z","updated_at":"2021-11-24T13:14:22.795Z","metadata":{"doi":"10.25504/FAIRsharing.m3g9n9","name":"Standard Protocol Items: Recommendations for Interventional Trials","status":"ready","homepage":"http://www.spirit-statement.org/","identifier":723,"description":"The protocol of a clinical trial is essential for study conduct, review, reporting, and interpretation. SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) is an international initiative that aims to improve the quality of clinical trial protocols by defining an evidence-based set of items to address in a protocol.","abbreviation":"SPIRIT","support_links":[{"url":"http://www.spirit-statement.org/spirit-statement/","type":"Help documentation"},{"url":"http://www.consort-statement.org/resources/spirit","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-000685","bsg-s000685"],"name":"FAIRsharing record for: Standard Protocol Items: Recommendations for Interventional Trials","abbreviation":"SPIRIT","url":"https://fairsharing.org/10.25504/FAIRsharing.m3g9n9","doi":"10.25504/FAIRsharing.m3g9n9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The protocol of a clinical trial is essential for study conduct, review, reporting, and interpretation. SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) is an international initiative that aims to improve the quality of clinical trial protocols by defining an evidence-based set of items to address in a protocol.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12501},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16933}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Denmark","United Kingdom","United States"],"publications":[{"id":1739,"pubmed_id":23295957,"title":"SPIRIT 2013 statement: defining standard protocol items for clinical trials.","year":2013,"url":"http://doi.org/10.7326/0003-4819-158-3-201302050-00583","authors":"Chan AW,Tetzlaff JM,Altman DG,Laupacis A,Gotzsche PC,Krleza-Jeric K,Hrobjartsson A,Mann H,Dickersin K,Berlin JA,Dore CJ,Parulekar WR,Summerskill WS,Groves T,Schulz KF,Sox HC,Rockhold FW,Rennie D,Moher D","journal":"Ann Intern Med","doi":"10.7326/0003-4819-158-3-201302050-00583","created_at":"2021-09-30T08:25:35.107Z","updated_at":"2021-09-30T08:25:35.107Z"},{"id":1740,"pubmed_id":23303884,"title":"SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials.","year":2013,"url":"http://doi.org/10.1136/bmj.e7586","authors":"Chan AW,Tetzlaff JM,Gotzsche PC,Altman DG,Mann H,Berlin JA,Dickersin K,Hrobjartsson A,Schulz KF,Parulekar WR,Krleza-Jeric K,Laupacis A,Moher D","journal":"BMJ","doi":"10.1136/bmj.e7586","created_at":"2021-09-30T08:25:35.213Z","updated_at":"2021-09-30T08:25:35.213Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":84,"relation":"undefined"}],"grants":[{"id":6077,"fairsharing_record_id":723,"organisation_id":2836,"relation":"maintains","created_at":"2021-09-30T09:27:47.914Z","updated_at":"2021-09-30T09:27:47.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":2836,"name":"The SPIRIT Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6078,"fairsharing_record_id":723,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:27:47.937Z","updated_at":"2021-09-30T09:27:47.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"724","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-05-18T07:21:26.870Z","metadata":{"doi":"10.25504/FAIRsharing.4bcrzk","name":"CYTOKINE","status":"deprecated","contacts":[{"contact_name":"Steven Kleinstein","contact_email":"steven.kleinstein@yale.edu","contact_orcid":null}],"homepage":"http://bioportal.bioontology.org/ontologies/CYTO","citations":[],"identifier":724,"description":"It is flat ontology showing cytokine synonyms. It has been produced by merging cytokine branches, using SOMA (Synonym Ontology Mapping Approach) method, of 10 Bioportal ontologies.","abbreviation":"CYTO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CYTO","name":"CYTO","portal":"BioPortal"}],"deprecation_date":"2023-05-03","deprecation_reason":"This resource has been deprecated and the maintaining group has confirmed the status."},"legacy_ids":["bsg-000857","bsg-s000857"],"name":"FAIRsharing record for: CYTOKINE","abbreviation":"CYTO","url":"https://fairsharing.org/10.25504/FAIRsharing.4bcrzk","doi":"10.25504/FAIRsharing.4bcrzk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: It is flat ontology showing cytokine synonyms. It has been produced by merging cytokine branches, using SOMA (Synonym Ontology Mapping Approach) method, of 10 Bioportal ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Infection Biology","Immunology"],"domains":["Immune system"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Synonyms"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":10577,"fairsharing_record_id":724,"organisation_id":3268,"relation":"maintains","created_at":"2023-05-03T09:24:32.527Z","updated_at":"2023-05-03T09:24:32.527Z","grant_id":null,"is_lead":true,"saved_state":{"id":3268,"name":"Yale University School of Medicine, New Haven, CT, USA.","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"725","type":"fairsharing_records","attributes":{"created_at":"2018-08-11T21:43:03.000Z","updated_at":"2022-02-08T10:47:11.819Z","metadata":{"doi":"10.25504/FAIRsharing.5d5322","name":"Corpus Encoding Standards","status":"ready","contacts":[{"contact_name":"Nancy Ide","contact_email":"ide@cs.vassar.edu"}],"homepage":"https://www.cs.vassar.edu/CES/","citations":[],"identifier":725,"description":"CES provides a unit coding standard for linguistic corpus annotation. The CES can be used to encode corpora as resources for natural language processing. XCES is the XML version.","abbreviation":"CES / XCES","year_creation":1996},"legacy_ids":["bsg-001230","bsg-s001230"],"name":"FAIRsharing record for: Corpus Encoding Standards","abbreviation":"CES / XCES","url":"https://fairsharing.org/10.25504/FAIRsharing.5d5322","doi":"10.25504/FAIRsharing.5d5322","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CES provides a unit coding standard for linguistic corpus annotation. The CES can be used to encode corpora as resources for natural language processing. XCES is the XML version.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[],"licence_links":[],"grants":[{"id":6079,"fairsharing_record_id":725,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:47.971Z","updated_at":"2021-09-30T09:27:47.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6080,"fairsharing_record_id":725,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:47.995Z","updated_at":"2021-09-30T09:32:37.522Z","grant_id":1705,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IRI-9413451","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"726","type":"fairsharing_records","attributes":{"created_at":"2018-10-12T13:19:58.000Z","updated_at":"2024-03-25T20:35:09.168Z","metadata":{"name":"Apple Core","status":"deprecated","contacts":[],"homepage":"https://applecore.biowikifarm.net/wiki/Main_Page","citations":[],"identifier":726,"description":"Darwin Core (DwC) has become a mature set of standards designed for sharing biodiversity data. However, the inherent generality of the documentation has lead to broad interpretation of the terms or confusion about which terms to use within a community. The goal of Apple Core is to tackle this issue for herbaria by providing detailed guidelines based on best practices for publishing botanical specimen information as DwC. These guidelines will include recommended terms, more specific definitions, multiple examples, common issues and controlled vocabularies where appropriate. Apple Core should not be considered an extension of DwC: we specifically avoid creating any new terms or extensions. If the need for an additional term arises, it will be proposed for inclusion in DwC. Apple Core datasets will be expressible as Simple Darwin Core or as an Occurrence core with an Identification History extension. ","abbreviation":"Apple Core","support_links":[{"url":"https://github.com/tdwg/applecore/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011,"deprecation_date":"2024-03-25","deprecation_reason":"The project has not had any activity since 2016, and the homepage is now broken. If you have up-to-date information on this project, or would like to claim this record, please contact us."},"legacy_ids":["bsg-001322","bsg-s001322"],"name":"FAIRsharing record for: Apple Core","abbreviation":"Apple Core","url":"https://fairsharing.org/fairsharing_records/726","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Darwin Core (DwC) has become a mature set of standards designed for sharing biodiversity data. However, the inherent generality of the documentation has lead to broad interpretation of the terms or confusion about which terms to use within a community. The goal of Apple Core is to tackle this issue for herbaria by providing detailed guidelines based on best practices for publishing botanical specimen information as DwC. These guidelines will include recommended terms, more specific definitions, multiple examples, common issues and controlled vocabularies where appropriate. Apple Core should not be considered an extension of DwC: we specifically avoid creating any new terms or extensions. If the need for an additional term arises, it will be proposed for inclusion in DwC. Apple Core datasets will be expressible as Simple Darwin Core or as an Occurrence core with an Identification History extension. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany","Agriculture"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":976,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"686","type":"fairsharing_records","attributes":{"created_at":"2019-07-10T09:13:25.000Z","updated_at":"2022-07-20T12:20:53.342Z","metadata":{"doi":"10.25504/FAIRsharing.dS2o69","name":"Environmental Thesaurus","status":"ready","contacts":[{"contact_name":"Barbara Magagna","contact_email":"barbara.magagna@umweltbundesamt.at","contact_orcid":"0000-0003-2195-3997"}],"homepage":"https://github.com/LTER-Europe/EnvThes","citations":[{"publication_id":2718}],"identifier":686,"description":"The Environmental Thesaurus is a controlled vocabulary built to aid integration of the data resulting from long term ecological research and monitoring in Europe (eLTER). It provides described and semantically well defined terms for later analysis and it serves as harmonized specification of parameters in the observation and measurement of ecosystem processes.","abbreviation":"EnvThes","support_links":[{"url":"https://github.com/LTER-Europe/EnvThes/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://www.enveurope.eu/news/envthes-environmental-thesaurus","name":"EnvEurope EnvThes Information","type":"Help documentation"}],"year_creation":2012,"associated_tools":[]},"legacy_ids":["bsg-001387","bsg-s001387"],"name":"FAIRsharing record for: Environmental Thesaurus","abbreviation":"EnvThes","url":"https://fairsharing.org/10.25504/FAIRsharing.dS2o69","doi":"10.25504/FAIRsharing.dS2o69","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Environmental Thesaurus is a controlled vocabulary built to aid integration of the data resulting from long term ecological research and monitoring in Europe (eLTER). It provides described and semantically well defined terms for later analysis and it serves as harmonized specification of parameters in the observation and measurement of ecosystem processes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geochemistry","Environmental Science","Ecology","Natural Science"],"domains":["Geographical location","Monitoring"],"taxonomies":["All"],"user_defined_tags":["Observations"],"countries":["Austria","France","Germany","Hungary","Italy","Sweden","United Kingdom","United States"],"publications":[{"id":2718,"pubmed_id":null,"title":"Data Models","year":2018,"url":"https://www.lter-europe.net/document-archive/elter-h2020-project-files/d3-3-data-models","authors":"Peterseil, J., Magagna, B., Wohner, C., Oggioni, A. \u0026 Watkins, J.","journal":"Deliverable (D3.3) of eLTER H2020 project","doi":null,"created_at":"2021-09-30T08:27:33.789Z","updated_at":"2021-09-30T08:27:33.789Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2728,"relation":"applies_to_content"}],"grants":[{"id":6046,"fairsharing_record_id":686,"organisation_id":2909,"relation":"maintains","created_at":"2021-09-30T09:27:47.117Z","updated_at":"2021-09-30T09:27:47.117Z","grant_id":null,"is_lead":true,"saved_state":{"id":2909,"name":"Umweltbundesamt GmbH (Environment Agency Austria), Austria","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"687","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-01-28T16:37:00.377Z","metadata":{"doi":"10.25504/FAIRsharing.1b84nz","name":"Behaviour Change Technique Taxonomy","status":"deprecated","contacts":[{"contact_name":"Peter Kalchgruber","contact_email":"peter.kalchgruber@univie.ac.at"}],"homepage":"https://www.ucl.ac.uk/pals/research/clinical-educational-and-health-psychology/research-groups/behaviour-change-techniques/resources/bcttv1-publications","citations":[],"identifier":687,"description":"The BCT Taxonomy Version 1 (BCTTv1) project are to (i) develop a reliable and generalisable nomenclature of behaviour change techniques as a method for specifying, evaluating and implementing complex behavioural change interventions and (ii) achieve its multidisciplinary and international acceptance and use to allow for its continuous development. Although this resource is available at BioPortal, and described at the listed homepage, the project homepage cannot be found. Please get in touch if you have any information","abbreviation":"BCT Taxonomy","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BCTT","name":"BCTT","portal":"BioPortal"}],"deprecation_date":"2022-01-21","deprecation_reason":"The resource homepage no longer exists, and the developers of the resource cannot be reached. We have updated the homepage to a working URL in order to provide what information we can find, but it is also is out of date."},"legacy_ids":["bsg-000826","bsg-s000826"],"name":"FAIRsharing record for: Behaviour Change Technique Taxonomy","abbreviation":"BCT Taxonomy","url":"https://fairsharing.org/10.25504/FAIRsharing.1b84nz","doi":"10.25504/FAIRsharing.1b84nz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BCT Taxonomy Version 1 (BCTTv1) project are to (i) develop a reliable and generalisable nomenclature of behaviour change techniques as a method for specifying, evaluating and implementing complex behavioural change interventions and (ii) achieve its multidisciplinary and international acceptance and use to allow for its continuous development. Although this resource is available at BioPortal, and described at the listed homepage, the project homepage cannot be found. Please get in touch if you have any information","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Social and Behavioural Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":3181,"pubmed_id":null,"title":"The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions","year":2013,"url":"http://dx.doi.org/10.1007/s12160-013-9486-6","authors":"Michie, Susan; Richardson, Michelle; Johnston, Marie; Abraham, Charles; Francis, Jill; Hardeman, Wendy; Eccles, Martin P.; Cane, James; Wood, Caroline E.; ","journal":"ann. behav. med.","doi":"10.1007/s12160-013-9486-6","created_at":"2022-01-07T21:00:03.323Z","updated_at":"2022-01-07T21:00:03.323Z"},{"id":3182,"pubmed_id":null,"title":"Reporting behaviour change interventions: do the behaviour change technique taxonomy v1, and training in its use, improve the quality of intervention descriptions?","year":2016,"url":"http://dx.doi.org/10.1186/s13012-016-0448-9","authors":"Wood, Caroline E.; Hardeman, Wendy; Johnston, Marie; Francis, Jill; Abraham, Charles; Michie, Susan; ","journal":"Implementation Sci","doi":"10.1186/s13012-016-0448-9","created_at":"2022-01-07T21:00:21.805Z","updated_at":"2022-01-07T21:00:21.805Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"688","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-01-03T11:32:06.339Z","metadata":{"doi":"10.25504/FAIRsharing.kpbna7","name":"Genotype Ontology","status":"ready","contacts":[{"contact_name":"Matthew Brush","contact_email":"mhb120@gmail.com"}],"homepage":"https://github.com/monarch-initiative/GENO-ontology/","citations":[],"identifier":688,"description":"An integrated ontology for representing the genetic variations described in genotypes, and their causal relationships to phenotype and diseases.","abbreviation":"GENO","support_links":[],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GENO","name":"GENO","portal":"BioPortal"}]},"legacy_ids":["bsg-000825","bsg-s000825"],"name":"FAIRsharing record for: Genotype Ontology","abbreviation":"GENO","url":"https://fairsharing.org/10.25504/FAIRsharing.kpbna7","doi":"10.25504/FAIRsharing.kpbna7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated ontology for representing the genetic variations described in genotypes, and their causal relationships to phenotype and diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Disease phenotype","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3058,"relation":"applies_to_content"}],"grants":[{"id":10270,"fairsharing_record_id":688,"organisation_id":2270,"relation":"associated_with","created_at":"2023-01-03T11:31:22.485Z","updated_at":"2023-01-03T11:31:22.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"689","type":"fairsharing_records","attributes":{"created_at":"2019-10-01T12:09:19.000Z","updated_at":"2022-07-20T12:48:57.378Z","metadata":{"doi":"10.25504/FAIRsharing.DbFnKV","name":"Radiology Gamuts Ontology","status":"ready","contacts":[{"contact_name":"Charles E. Kahn, Jr., MD, MS","contact_email":"ckahn@upenn.edu","contact_orcid":"0000-0002-6654-7434"}],"homepage":"https://www.gamuts.net","citations":[{"doi":"10.1148/rg.341135036","pubmed_id":24428295,"publication_id":2578}],"identifier":689,"description":"The Radiology Gamuts Ontology (RGO) is a knowledge resource for radiology diagnosis. RGO hosts more than 2,000 differential-diagnosis listings for imaging findings in all body systems. One can view all of the causes of an finding, then click on one of the diagnoses to view all of the findings that it causes.","abbreviation":"RGO","support_links":[{"url":"https://www.gamuts.net/about.php","name":"About RGO","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GAMUTS","name":"GAMUTS","portal":"BioPortal"}]},"legacy_ids":["bsg-001391","bsg-s001391"],"name":"FAIRsharing record for: Radiology Gamuts Ontology","abbreviation":"RGO","url":"https://fairsharing.org/10.25504/FAIRsharing.DbFnKV","doi":"10.25504/FAIRsharing.DbFnKV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Radiology Gamuts Ontology (RGO) is a knowledge resource for radiology diagnosis. RGO hosts more than 2,000 differential-diagnosis listings for imaging findings in all body systems. One can view all of the causes of an finding, then click on one of the diagnoses to view all of the findings that it causes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiology","Biomedical Science"],"domains":["Medical imaging","Disease","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2573,"pubmed_id":30624645,"title":"Integrating ontologies of human diseases, phenotypes, and radiological diagnosis.","year":2019,"url":"http://doi.org/10.1093/jamia/ocy161","authors":"Finke MT,Filice RW,Kahn CE Jr","journal":"J Am Med Inform Assoc","doi":"10.1093/jamia/ocy161","created_at":"2021-09-30T08:27:15.538Z","updated_at":"2021-09-30T08:27:15.538Z"},{"id":2574,"pubmed_id":30706210,"title":"Integrating an Ontology of Radiology Differential Diagnosis with ICD-10-CM, RadLex, and SNOMED CT.","year":2019,"url":"http://doi.org/10.1007/s10278-019-00186-3","authors":"Filice RW,Kahn CE Jr","journal":"J Digit Imaging","doi":"10.1007/s10278-019-00186-3","created_at":"2021-09-30T08:27:15.729Z","updated_at":"2021-09-30T08:27:15.729Z"},{"id":2578,"pubmed_id":24428295,"title":"Informatics in radiology: radiology gamuts ontology: differential diagnosis for the Semantic Web.","year":2014,"url":"http://doi.org/10.1148/rg.341135036","authors":"Budovec JJ,Lam CA,Kahn CE Jr","journal":"Radiographics","doi":"10.1148/rg.341135036","created_at":"2021-09-30T08:27:16.169Z","updated_at":"2021-09-30T08:27:16.169Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":671,"relation":"undefined"}],"grants":[{"id":6047,"fairsharing_record_id":689,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:27:47.155Z","updated_at":"2021-09-30T09:27:47.155Z","grant_id":null,"is_lead":true,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"682","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T14:22:47.000Z","updated_at":"2022-07-20T09:49:33.482Z","metadata":{"doi":"10.25504/FAIRsharing.d092a4","name":"Thesaurus for the Social Sciences","status":"ready","contacts":[{"contact_name":"Benjamin Zapilko","contact_email":"benjamin.zapilko@gesis.org"}],"homepage":"https://lod.gesis.org/thesoz/en/index","citations":[{"publication_id":3088}],"identifier":682,"description":"The Thesaurus for the Social Sciences (TheSoz) isa SKOS-based German thesaurus for the social sciences. It is intended as an aid for indexing documents and research information as well as for search term recommendation. The TheSoz is available in three languages (German, English and French). The thesaurus covers all topics and sub-disciplines of the social sciences, including sociology, employment re-search, pedagogics and political science.","abbreviation":"TheSoz","support_links":[{"url":"thesoz@gesis.org","name":"General Contact","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-001554","bsg-s001554"],"name":"FAIRsharing record for: Thesaurus for the Social Sciences","abbreviation":"TheSoz","url":"https://fairsharing.org/10.25504/FAIRsharing.d092a4","doi":"10.25504/FAIRsharing.d092a4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Thesaurus for the Social Sciences (TheSoz) isa SKOS-based German thesaurus for the social sciences. It is intended as an aid for indexing documents and research information as well as for search term recommendation. The TheSoz is available in three languages (German, English and French). The thesaurus covers all topics and sub-disciplines of the social sciences, including sociology, employment re-search, pedagogics and political science.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Social Science","Education Science","Political Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Employment"],"countries":["Germany"],"publications":[{"id":3088,"pubmed_id":null,"title":"TheSoz: A SKOS Representation of the Thesaurus for the Social Sciences","year":2012,"url":"http://www.semantic-web-journal.net/content/thesoz-skos-representation-thesaurus-social-sciences","authors":"Benjamin Zapilko, Johann Schaible, Philipp Mayr, Brigitte Mathiak","journal":"Semantic Web – Interoperability, Usability, Applicability","doi":null,"created_at":"2021-09-30T08:28:20.476Z","updated_at":"2021-09-30T08:28:20.476Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0 )","licence_id":178,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0","link_id":2230,"relation":"undefined"}],"grants":[{"id":6041,"fairsharing_record_id":682,"organisation_id":1700,"relation":"maintains","created_at":"2021-09-30T09:27:46.968Z","updated_at":"2021-09-30T09:27:46.968Z","grant_id":null,"is_lead":true,"saved_state":{"id":1700,"name":"Leibniz Institute for the Social Sciences (GESIS), Mannheim, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"683","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:31.424Z","metadata":{"doi":"10.25504/FAIRsharing.x56jsy","name":"Foundational Model of Anatomy","status":"ready","contacts":[{"contact_name":"Onard Mejino","contact_email":"mejino@uw.edu"}],"homepage":"http://si.washington.edu/projects/fma","citations":[],"identifier":683,"description":"The Foundational Model of Anatomy Ontology (FMA) is an evolving computer-based knowledge source for biomedical informatics; it is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Specifically, the FMA is a domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy. Its ontological framework can be applied and extended to all other species","abbreviation":"FMA","support_links":[{"url":"fma@sig.biostr.washington.edu","type":"Support email"},{"url":"fma-dev@u.washington.edu","name":"FMA Developers","type":"Mailing list"},{"url":"fma-announce@u.washington.edu","name":"FMA Announcements","type":"Mailing list"},{"url":"fma-content@u.washington.edu","name":"FMA Content","type":"Mailing list"},{"url":"http://si.washington.edu/content/comparisons-other-anatomy-sources","name":"Comparison with other anatomy sources","type":"Help documentation"},{"url":"http://si.washington.edu/content/purpose","name":"Purpose of the FMA","type":"Help documentation"},{"url":"http://si.washington.edu/projects/fma","type":"Help documentation"},{"url":"https://bitbucket.org/uwsig/fma/issues","name":"Issue Tracker","type":"Help documentation"},{"url":"http://si.washington.edu/content/summary-fma-resources","name":"Summary of Resources","type":"Help documentation"}],"year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FMA","name":"FMA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fma.html","name":"fma","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000011","bsg-s000011"],"name":"FAIRsharing record for: Foundational Model of Anatomy","abbreviation":"FMA","url":"https://fairsharing.org/10.25504/FAIRsharing.x56jsy","doi":"10.25504/FAIRsharing.x56jsy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Foundational Model of Anatomy Ontology (FMA) is an evolving computer-based knowledge source for biomedical informatics; it is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Specifically, the FMA is a domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy. Its ontological framework can be applied and extended to all other species","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17572},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11928},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12197},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16951}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Radiology","Biomedical Science"],"domains":["Phenotype","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":924,"pubmed_id":14759820,"title":"A reference ontology for biomedical informatics: the Foundational Model of Anatomy.","year":2004,"url":"http://doi.org/10.1016/j.jbi.2003.11.007","authors":"Rosse C,Mejino JL Jr","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2003.11.007","created_at":"2021-09-30T08:24:02.021Z","updated_at":"2021-09-30T08:24:02.021Z"},{"id":1831,"pubmed_id":27235801,"title":"From frames to OWL2: Converting the Foundational Model of Anatomy.","year":2016,"url":"http://doi.org/S0933-3657(16)30152-X","authors":"Detwiler LT,Mejino JLV,Brinkley JF","journal":"Artif Intell Med","doi":"10.1016/j.artmed.2016.04.003","created_at":"2021-09-30T08:25:45.647Z","updated_at":"2021-09-30T08:25:45.647Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1550,"relation":"applies_to_content"}],"grants":[{"id":6042,"fairsharing_record_id":683,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:47.005Z","updated_at":"2021-09-30T09:28:57.143Z","grant_id":28,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"LM 06822","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8472,"fairsharing_record_id":683,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:48.285Z","updated_at":"2021-09-30T09:32:48.335Z","grant_id":1782,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"LM 03528","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6043,"fairsharing_record_id":683,"organisation_id":2662,"relation":"maintains","created_at":"2021-09-30T09:27:47.037Z","updated_at":"2022-04-28T16:01:08.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":2662,"name":"Structural Informatics Group, University of Washington, Seattle, Washington, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6044,"fairsharing_record_id":683,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:47.061Z","updated_at":"2021-09-30T09:32:42.880Z","grant_id":1745,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"DE24417","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYTg9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--16f323877b0cea5b9b3df9ea964ed441ad10cff1/fma.png?disposition=inline","exhaustive_licences":false}},{"id":"685","type":"fairsharing_records","attributes":{"created_at":"2018-06-11T10:18:58.000Z","updated_at":"2022-02-08T10:28:22.709Z","metadata":{"doi":"10.25504/FAIRsharing.d7795c","name":"Analytical Data Interchange Protocol for Chromatographic Data","status":"ready","contacts":[{"contact_name":"ASTM Support","contact_email":"service@astm.org"}],"homepage":"http://www.astm.org/cgi-bin/resolver.cgi?E1947","citations":[],"identifier":685,"description":"The ANDI-MS specification (ASTM E1947) covers an analytical data interchange protocol for chromatographic data representation. The contents of the file include typical header in formation like instrument, column, detector, and operator description followed by raw or processed data, or both. Once data have been written or converted to this protocol, they can be read and processed by software packages that support the protocol. The end purpose of this protocol is intended to (1) transfer data between various vendors' instrument systems, (2) provide LIMS communications, (3) link data to document processing applications, (4) link data to spreadsheet applications, and ( 5) archive analytical data, or a combination thereof. It is based on NetCDF.","abbreviation":"ANDI-MS","support_links":[{"url":"https://www.astm.org/contact/","name":"Contact Form","type":"Contact form"}],"year_creation":2014},"legacy_ids":["bsg-001216","bsg-s001216"],"name":"FAIRsharing record for: Analytical Data Interchange Protocol for Chromatographic Data","abbreviation":"ANDI-MS","url":"https://fairsharing.org/10.25504/FAIRsharing.d7795c","doi":"10.25504/FAIRsharing.d7795c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ANDI-MS specification (ASTM E1947) covers an analytical data interchange protocol for chromatographic data representation. The contents of the file include typical header in formation like instrument, column, detector, and operator description followed by raw or processed data, or both. Once data have been written or converted to this protocol, they can be read and processed by software packages that support the protocol. The end purpose of this protocol is intended to (1) transfer data between various vendors' instrument systems, (2) provide LIMS communications, (3) link data to document processing applications, (4) link data to spreadsheet applications, and ( 5) archive analytical data, or a combination thereof. It is based on NetCDF.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10922}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Life Science"],"domains":["Chromatography","Mass spectrometry assay","Data model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6045,"fairsharing_record_id":685,"organisation_id":89,"relation":"maintains","created_at":"2021-09-30T09:27:47.086Z","updated_at":"2021-09-30T09:27:47.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":89,"name":"American Society of Testing and Materials (ASTM) International, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"715","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T11:18:37.000Z","updated_at":"2024-01-27T14:38:58.407Z","metadata":{"doi":"10.25504/FAIRsharing.OrNi1L","name":"Open Researcher and Contributor iD Identifier Schema","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"support@orcid.org"}],"homepage":"https://support.orcid.org/hc/en-us/articles/360006897674-Structure-of-the-ORCID-Identifier","citations":[],"identifier":715,"description":"The ORCID Identifier Schema is an https URI with a 16-digit number that is compatible with the ISO Standard (ISO 27729), also known as the International Standard Name Identifier (ISNI), e.g. https://orcid.org/0000-0001-2345-6789 Initially ORCID iDs will be randomly assigned by the ORCID Registry from a block of numbers that will not conflict with ISNI-formatted numbers assigned in other ways. ORCID iDs always require all 16 digits of the identifier; they can not be shortened to remove leading zeros if they exist. No information about a person is encoded in the ORCID iD. The identifiers were designed to be usable in situations where personally-identifiable information should/can not be shared. Also, since the ORCID iD is designed to be a career-long identifier, no information that can change over a person's career is embedded in the iD, e.g., country, institution, field of study.","abbreviation":"ORCID iD Identifier Schema","support_links":[{"url":"https://support.orcid.org/hc/en-us/requests/new","name":"Submit a Request / Comment","type":"Contact form"},{"url":"https://info.orcid.org/annual-reports/","name":"ORCID Annual Reports","type":"Other"},{"url":"https://github.com/ORCID","name":"ORCID on GitHub","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioregistry.io/registry/orcid","name":"bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/orcid","name":"identifiers.org","portal":"Other"},{"url":"https://www.wikidata.org/wiki/Property:P496","name":"Wikidata","portal":"Other"},{"url":"http://edamontology.org/data_4022","name":"EDAM - Bioscientific data analysis ontology","portal":"Other"},{"url":"http://purl.obolibrary.org/obo/IAO_0000708","name":"Information Artifact Ontology","portal":"Other"}],"regular_expression":"^\\d{4}-\\d{4}-\\d{4}-\\d{3}(\\d|X)$"},"legacy_ids":["bsg-001357","bsg-s001357"],"name":"FAIRsharing record for: Open Researcher and Contributor iD Identifier Schema","abbreviation":"ORCID iD Identifier Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.OrNi1L","doi":"10.25504/FAIRsharing.OrNi1L","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ORCID Identifier Schema is an https URI with a 16-digit number that is compatible with the ISO Standard (ISO 27729), also known as the International Standard Name Identifier (ISNI), e.g. https://orcid.org/0000-0001-2345-6789 Initially ORCID iDs will be randomly assigned by the ORCID Registry from a block of numbers that will not conflict with ISNI-formatted numbers assigned in other ways. ORCID iDs always require all 16 digits of the identifier; they can not be shortened to remove leading zeros if they exist. No information about a person is encoded in the ORCID iD. The identifiers were designed to be usable in situations where personally-identifiable information should/can not be shared. Also, since the ORCID iD is designed to be a career-long identifier, no information that can change over a person's career is embedded in the iD, e.g., country, institution, field of study.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17379},{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20025}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems"],"domains":["Citation","Bibliography","Publication","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":4098,"pubmed_id":null,"title":"ORCID 2022 Annual Report","year":2023,"url":"https://doi.org/10.23640/07243.22250740.v1","authors":"ORCID, Chris Shillum, Julie Anne Petro, Tom Demeranville, Ivo Wijnbergen, Will Simpson","journal":"Figshare (Online resource)","doi":"10.23640/07243.22250740.v1","created_at":"2024-01-24T22:36:21.761Z","updated_at":"2024-01-24T22:36:21.761Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1440,"relation":"undefined"},{"licence_name":"ORCID MIT-Style License","licence_id":638,"licence_url":"https://github.com/ORCID/ORCID-Source/blob/master/LICENSE.md","link_id":1439,"relation":"undefined"}],"grants":[{"id":6067,"fairsharing_record_id":715,"organisation_id":2263,"relation":"maintains","created_at":"2021-09-30T09:27:47.671Z","updated_at":"2021-09-30T09:27:47.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":2263,"name":"Open Research and Contributor ID Initiative (ORCID)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"717","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:40.444Z","metadata":{"doi":"10.25504/FAIRsharing.2chxxc","name":"NMR Self-defining Text Archive and Retrieval format","status":"ready","contacts":[{"contact_email":"bmrbhelp@bmrb.wisc.edu"}],"homepage":"http://www.bmrb.wisc.edu/dictionary/","identifier":717,"description":"NMR-STAR is an extension of the STAR file format to store the results of biological NMR experiments.","abbreviation":"NMR-STAR","support_links":[{"url":"http://lists.bmrb.wisc.edu/","type":"Mailing list"}]},"legacy_ids":["bsg-000285","bsg-s000285"],"name":"FAIRsharing record for: NMR Self-defining Text Archive and Retrieval format","abbreviation":"NMR-STAR","url":"https://fairsharing.org/10.25504/FAIRsharing.2chxxc","doi":"10.25504/FAIRsharing.2chxxc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NMR-STAR is an extension of the STAR file format to store the results of biological NMR experiments.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12092}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Molecular entity","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1723,"pubmed_id":17984079,"title":"BioMagResBank.","year":2007,"url":"http://doi.org/10.1093/nar/gkm957","authors":"Ulrich EL,Akutsu H,Doreleijers JF,Harano Y,Ioannidis YE,Lin J,Livny M,Mading S,Maziuk D,Miller Z,Nakatani E,Schulte CF,Tolmie DE,Kent Wenger R,Yao H,Markley JL","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm957","created_at":"2021-09-30T08:25:33.068Z","updated_at":"2021-09-30T11:29:19.360Z"}],"licence_links":[],"grants":[{"id":6068,"fairsharing_record_id":717,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:47.703Z","updated_at":"2021-09-30T09:27:47.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6069,"fairsharing_record_id":717,"organisation_id":257,"relation":"maintains","created_at":"2021-09-30T09:27:47.719Z","updated_at":"2021-09-30T09:27:47.719Z","grant_id":null,"is_lead":false,"saved_state":{"id":257,"name":"Biological Magnetic Resonance Data Bank (BMRB)","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"718","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T14:41:03.000Z","updated_at":"2022-09-28T14:00:50.614Z","metadata":{"doi":"10.25504/FAIRsharing.8337e2","name":"Integrated Authority File","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"gnd-info@dnb.de"}],"homepage":"https://www.dnb.de/EN/Professionell/Standardisierung/GND/gnd_node.html","citations":[],"identifier":718,"description":"The Integrated Authority File (GND) is a service facilitating the collaborative use and administration of authority data. These authority data represent and describe entities, i.e. persons, corporate bodies, conferences and events, geographic entities, topics and works relating to cultural and academic collections. Libraries in particular use the GND to catalogue publications. However, archives, museums, cultural and academic institutions, and researchers involved in research projects are also increasingly working with the GND. Authority data make cataloguing easier, offer definitive search entries and forge links between different information resources. Every entity in the GND features a unique and stable identifier (GND ID). This makes it possible to link the authority data with both each other and external data sets and web resources. This results in a cross-organisational, machine-readable data network.","abbreviation":"GND","support_links":[{"url":"https://d-nb.info/standards/elementset/gnd","name":"About the GND Ontology","type":"Help documentation"},{"url":"https://twitter.com/gndnet","name":"@gndnet","type":"Twitter"}],"year_creation":2012},"legacy_ids":["bsg-001555","bsg-s001555"],"name":"FAIRsharing record for: Integrated Authority File","abbreviation":"GND","url":"https://fairsharing.org/10.25504/FAIRsharing.8337e2","doi":"10.25504/FAIRsharing.8337e2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Authority File (GND) is a service facilitating the collaborative use and administration of authority data. These authority data represent and describe entities, i.e. persons, corporate bodies, conferences and events, geographic entities, topics and works relating to cultural and academic collections. Libraries in particular use the GND to catalogue publications. However, archives, museums, cultural and academic institutions, and researchers involved in research projects are also increasingly working with the GND. Authority data make cataloguing easier, offer definitive search entries and forge links between different information resources. Every entity in the GND features a unique and stable identifier (GND ID). This makes it possible to link the authority data with both each other and external data sets and web resources. This results in a cross-organisational, machine-readable data network.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Culture","Social Science"],"domains":["Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2231,"relation":"undefined"}],"grants":[{"id":6070,"fairsharing_record_id":718,"organisation_id":1139,"relation":"maintains","created_at":"2021-09-30T09:27:47.735Z","updated_at":"2021-09-30T09:27:47.735Z","grant_id":null,"is_lead":true,"saved_state":{"id":1139,"name":"German National Library, Leipzig, Germany","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"720","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:34.577Z","metadata":{"doi":"10.25504/FAIRsharing.sjf113","name":"Mosquito Insecticide Resistance Ontology","status":"ready","contacts":[{"contact_name":"C. Louis","contact_email":"louis@imbb.forth.gr"}],"homepage":"https://www.vectorbase.org/ontology-browser","identifier":720,"description":"Monitoring of insect vector populations with respect to their susceptibility to one or more insecticides is a crucial element of the strategies used for the control of arthropod-borne diseases. This management task can nowadays be achieved more efficiently when assisted by IT (Information Technology) tools, ranging from modern integrated databases to GIS (Geographic Information System). MIRO is an application ontology that can be used for the purpose of controlling mosquitoes and, thus, the diseases that they transmit.","abbreviation":"MIRO","support_links":[{"url":"https://www.vectorbase.org/contact","type":"Contact form"},{"url":"info@vectorbase.org","name":"General Contact","type":"Support email"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MIRO","name":"MIRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/miro.html","name":"miro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000061","bsg-s000061"],"name":"FAIRsharing record for: Mosquito Insecticide Resistance Ontology","abbreviation":"MIRO","url":"https://fairsharing.org/10.25504/FAIRsharing.sjf113","doi":"10.25504/FAIRsharing.sjf113","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Monitoring of insect vector populations with respect to their susceptibility to one or more insecticides is a crucial element of the strategies used for the control of arthropod-borne diseases. This management task can nowadays be achieved more efficiently when assisted by IT (Information Technology) tools, ranging from modern integrated databases to GIS (Geographic Information System). MIRO is an application ontology that can be used for the purpose of controlling mosquitoes and, thus, the diseases that they transmit.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Insecticide resistance","Mutation","Phenotype"],"taxonomies":["Culicidae"],"user_defined_tags":[],"countries":["France","Greece","United Kingdom","United States"],"publications":[{"id":989,"pubmed_id":19547750,"title":"MIRO and IRbase: IT tools for the epidemiological monitoring of insecticide resistance in mosquito disease vectors.","year":2009,"url":"http://doi.org/10.1371/journal.pntd.0000465","authors":"Dialynas E,Topalis P,Vontas J,Louis C","journal":"PLoS Negl Trop Dis","doi":"10.1371/journal.pntd.0000465","created_at":"2021-09-30T08:24:09.471Z","updated_at":"2021-09-30T08:24:09.471Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1558,"relation":"undefined"}],"grants":[{"id":6071,"fairsharing_record_id":720,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:47.752Z","updated_at":"2021-09-30T09:27:47.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6073,"fairsharing_record_id":720,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:27:47.786Z","updated_at":"2021-09-30T09:29:21.169Z","grant_id":208,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LSHP-CT-2004-503578","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6072,"fairsharing_record_id":720,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:47.769Z","updated_at":"2021-09-30T09:31:20.369Z","grant_id":1125,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN266200400039C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"722","type":"fairsharing_records","attributes":{"created_at":"2020-02-20T14:22:40.000Z","updated_at":"2022-07-20T11:19:04.657Z","metadata":{"doi":"10.25504/FAIRsharing.5NhJFK","name":"VGNC Gene Symbols, Gene Names and IDs","status":"ready","contacts":[{"contact_email":"vgnc@genenames.org"}],"homepage":"https://vertebrate.genenames.org/download/statistics-and-files/","identifier":722,"description":"The VGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","abbreviation":"VGNC","year_creation":2016},"legacy_ids":["bsg-001450","bsg-s001450"],"name":"FAIRsharing record for: VGNC Gene Symbols, Gene Names and IDs","abbreviation":"VGNC","url":"https://fairsharing.org/10.25504/FAIRsharing.5NhJFK","doi":"10.25504/FAIRsharing.5NhJFK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["Bos taurus","Canis familiaris","Equus caballus","Felis catus","Macaca mulatta","Pan troglodytes","Sus scrofa","Vertebrata"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6075,"fairsharing_record_id":722,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:47.819Z","updated_at":"2021-09-30T09:32:37.378Z","grant_id":1704,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"208349/Z/17/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6074,"fairsharing_record_id":722,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:47.802Z","updated_at":"2021-09-30T09:27:47.802Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6076,"fairsharing_record_id":722,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:47.881Z","updated_at":"2021-09-30T09:31:12.536Z","grant_id":1064,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U24HG003345","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"703","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2023-03-14T17:25:23.169Z","metadata":{"doi":"10.25504/FAIRsharing.fbn4sh","name":"Reference Sequence Annotation","status":"ready","contacts":[{"contact_name":"Zuotian Tatum","contact_email":"z.tatum@lumc.nl"}],"homepage":"http://bioportal.bioontology.org/ontologies/RSA","citations":[],"identifier":703,"description":"An ontology for sequence annotations and how to preserve them with reference sequences.","abbreviation":"RSA","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RSA","name":"RSA","portal":"BioPortal"}]},"legacy_ids":["bsg-000844","bsg-s000844"],"name":"FAIRsharing record for: Reference Sequence Annotation","abbreviation":"RSA","url":"https://fairsharing.org/10.25504/FAIRsharing.fbn4sh","doi":"10.25504/FAIRsharing.fbn4sh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for sequence annotations and how to preserve them with reference sequences.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11868}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10413,"fairsharing_record_id":703,"organisation_id":3078,"relation":"undefined","created_at":"2023-03-14T17:25:15.627Z","updated_at":"2023-03-14T17:25:15.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":3078,"name":"University of Leiden, Netherlands","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"706","type":"fairsharing_records","attributes":{"created_at":"2020-07-08T12:48:00.000Z","updated_at":"2023-09-29T11:55:01.948Z","metadata":{"doi":"10.25504/FAIRsharing.ff6fca","name":"ISO 3166-1:2013 Codes for the representation of names of countries and their subdivisions — Part 1: Country codes","status":"ready","contacts":[{"contact_name":"Maëlle Gaonac'h","contact_email":"maelle.gaonach@afnor.org"}],"homepage":"https://www.iso.org/standard/63545.html","citations":[],"identifier":706,"description":"ISO 3166-1:2013 is intended for use in any application requiring the expression of current country names in coded form; it also includes basic guidelines for its implementation and maintenance.","abbreviation":"ISO 3166-1:2013","year_creation":2006},"legacy_ids":["bsg-001508","bsg-s001508"],"name":"FAIRsharing record for: ISO 3166-1:2013 Codes for the representation of names of countries and their subdivisions — Part 1: Country codes","abbreviation":"ISO 3166-1:2013","url":"https://fairsharing.org/10.25504/FAIRsharing.ff6fca","doi":"10.25504/FAIRsharing.ff6fca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 3166-1:2013 is intended for use in any application requiring the expression of current country names in coded form; it also includes basic guidelines for its implementation and maintenance.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17377},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13179}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics","Human Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2006,"relation":"undefined"}],"grants":[{"id":6052,"fairsharing_record_id":706,"organisation_id":1529,"relation":"maintains","created_at":"2021-09-30T09:27:47.294Z","updated_at":"2021-09-30T09:27:47.294Z","grant_id":null,"is_lead":true,"saved_state":{"id":1529,"name":"International Standards Organisation (ISO) ISO/TC 46: Information and documentation","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10941,"fairsharing_record_id":706,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:49:37.919Z","updated_at":"2023-09-27T14:49:37.919Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"852","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:02:27.000Z","updated_at":"2022-12-13T10:25:04.121Z","metadata":{"doi":"10.25504/FAIRsharing.BOvdiu","name":"Simple Spectral Lines Data Model","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/SSLDM/","citations":[{"publication_id":2945}],"identifier":852,"description":"The Simple Spectral Lines Data Model (SSLDM) standard presents a Data Model to describe Spectral Line Transitions in the context of the Simple Line Access Protocol defined by the IVOA. The main objective of the model is to integrate with and support the Simple Line Access Protocol, with which it forms a compact unit. This integration allows seamless access to Spectral Line Transitions available worldwide in the VO context. This model does not provide a complete description of Atomic and Molecular Physics, which scope is outside of this document. In the astrophysical sense, a line is considered as the result of a transition between two energy levels. Under the basis of this assumption, a whole set of objects and attributes have been derived to define properly the necessary information to describe lines appearing in astrophysical contexts. The document has been written taking into account available information from many different Line data providers.","abbreviation":"SSLDM","year_creation":2010},"legacy_ids":["bsg-001165","bsg-s001165"],"name":"FAIRsharing record for: Simple Spectral Lines Data Model","abbreviation":"SSLDM","url":"https://fairsharing.org/10.25504/FAIRsharing.BOvdiu","doi":"10.25504/FAIRsharing.BOvdiu","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Spectral Lines Data Model (SSLDM) standard presents a Data Model to describe Spectral Line Transitions in the context of the Simple Line Access Protocol defined by the IVOA. The main objective of the model is to integrate with and support the Simple Line Access Protocol, with which it forms a compact unit. This integration allows seamless access to Spectral Line Transitions available worldwide in the VO context. This model does not provide a complete description of Atomic and Molecular Physics, which scope is outside of this document. In the astrophysical sense, a line is considered as the result of a transition between two energy levels. Under the basis of this assumption, a whole set of objects and attributes have been derived to define properly the necessary information to describe lines appearing in astrophysical contexts. The document has been written taking into account available information from many different Line data providers.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11486}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2945,"pubmed_id":null,"title":"Simple Spectral Lines Data Model Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.1209O","authors":"Osuna, Pedro; Salgado, Jesus; Guainazzi, Matteo; Dubernet, Marie-Lise; Roueff, Evelyne","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.965Z","updated_at":"2021-09-30T08:28:02.965Z"}],"licence_links":[],"grants":[{"id":6281,"fairsharing_record_id":852,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:55.011Z","updated_at":"2021-09-30T09:27:55.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6282,"fairsharing_record_id":852,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:27:55.036Z","updated_at":"2021-09-30T09:27:55.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"853","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:16.073Z","metadata":{"doi":"10.25504/FAIRsharing.w5kj3q","name":"Loggerhead Nesting Ontology","status":"deprecated","contacts":[{"contact_name":"Peter Midford","contact_email":"peteremidford@yahoo.com","contact_orcid":"0000-0001-6512-3296"}],"homepage":"http://obofoundry.org/ontology/loggerhead.html","citations":[{"doi":"10.1093/bioinformatics/bth433","pubmed_id":15284105,"publication_id":1729}],"identifier":853,"description":"A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for Loggerhead sea turtle (Caretta caretta) nesting behavior, based on the published ethogram of Hailman and Elowson.","abbreviation":null,"support_links":[{"url":"https://www.jstor.org/stable/3892915","type":"Help documentation"},{"url":"http://mesquiteproject.org/midford/","name":"Peter Midford Project Page","type":"Help documentation"}],"year_creation":2001,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LHN","name":"LHN","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/loggerhead.html","name":"loggerhead","portal":"OBO Foundry"}],"deprecation_date":"2019-07-01","deprecation_reason":"This resource is deprecated. This deprecation is confirmed by the OBO Foundry."},"legacy_ids":["bsg-002577","bsg-s002577"],"name":"FAIRsharing record for: Loggerhead Nesting Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.w5kj3q","doi":"10.25504/FAIRsharing.w5kj3q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for Loggerhead sea turtle (Caretta caretta) nesting behavior, based on the published ethogram of Hailman and Elowson.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Behavioural Biology","Life Science"],"domains":["Behavior"],"taxonomies":["Caretta caretta"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1729,"pubmed_id":15284105,"title":"Ontologies for behavior.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth433","authors":"Midford PE","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth433","created_at":"2021-09-30T08:25:33.771Z","updated_at":"2021-09-30T08:25:33.771Z"}],"licence_links":[],"grants":[{"id":6283,"fairsharing_record_id":853,"organisation_id":2798,"relation":"maintains","created_at":"2021-09-30T09:27:55.061Z","updated_at":"2021-09-30T09:27:55.061Z","grant_id":null,"is_lead":true,"saved_state":{"id":2798,"name":"The Mesquite Project","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"854","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T11:25:53.000Z","updated_at":"2021-11-24T13:20:04.611Z","metadata":{"doi":"10.25504/FAIRsharing.gct3wr","name":"statismo - Statistical Image And Shape Models","status":"ready","contacts":[{"contact_name":"Marcel Lüthi","contact_email":"marcel.luethi@unibas.ch","contact_orcid":"0000-0002-9686-2195"}],"homepage":"https://github.com/statismo/statismo","citations":[],"identifier":854,"description":"Statismo defines a storage format (Statistical Image And Shape Models) based on HDF5, which includes all the information necessary to use the model, as well as meta-data about the model creation, which helps to make model building reproducible.","abbreviation":"statismo","support_links":[{"url":"https://groups.google.com/forum/#!forum/statismo-users","type":"Mailing list"},{"url":"https://github.com/statismo/statismo/wiki","type":"Github"},{"url":"http://www.shapesymposium.org/2014/docs/statismo-shape-tutorial.pdf","name":"Powerpoint presentation","type":"Help documentation"}]},"legacy_ids":["bsg-000574","bsg-s000574"],"name":"FAIRsharing record for: statismo - Statistical Image And Shape Models","abbreviation":"statismo","url":"https://fairsharing.org/10.25504/FAIRsharing.gct3wr","doi":"10.25504/FAIRsharing.gct3wr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Statismo defines a storage format (Statistical Image And Shape Models) based on HDF5, which includes all the information necessary to use the model, as well as meta-data about the model creation, which helps to make model building reproducible.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Statistics"],"domains":["Image","Shape"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":710,"pubmed_id":null,"title":"Statismo - A framework for PCA based statistical models","year":2012,"url":"http://doi.org/http://hdl.handle.net/10380/3371","authors":"Lüthi M., Blanc R., Albrecht T., Gass T., Goksel O., Büchler P., Kistler M., Bousleiman H., Reyes M., Cattin P., Vetter T.","journal":"The Insight Journal","doi":"http://hdl.handle.net/10380/3371","created_at":"2021-09-30T08:23:38.286Z","updated_at":"2021-09-30T08:23:38.286Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":185,"relation":"undefined"}],"grants":[{"id":6284,"fairsharing_record_id":854,"organisation_id":1199,"relation":"maintains","created_at":"2021-09-30T09:27:55.086Z","updated_at":"2021-09-30T09:27:55.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":1199,"name":"Graphics and Vision Research Group, University of Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6287,"fairsharing_record_id":854,"organisation_id":591,"relation":"maintains","created_at":"2021-09-30T09:27:55.162Z","updated_at":"2021-09-30T09:27:55.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":591,"name":"Computer Vision Lab, ETH Zurich, Zurich, Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6285,"fairsharing_record_id":854,"organisation_id":116,"relation":"maintains","created_at":"2021-09-30T09:27:55.112Z","updated_at":"2021-09-30T09:27:55.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":116,"name":"ARTORG Center for Biomedical Engineering Research","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6286,"fairsharing_record_id":854,"organisation_id":1395,"relation":"maintains","created_at":"2021-09-30T09:27:55.137Z","updated_at":"2021-09-30T09:27:55.137Z","grant_id":null,"is_lead":false,"saved_state":{"id":1395,"name":"Institute for Surgical Technology and Biomechanics, Bern, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"855","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T13:06:42.000Z","updated_at":"2022-07-20T12:04:47.205Z","metadata":{"doi":"10.25504/FAIRsharing.424420","name":"Genetic Glyco-Diseases Ontology","status":"ready","contacts":[{"contact_name":"Hisashi Narimatsu","contact_email":"h.narimatsu@aist.go.jp","contact_orcid":"0000-0002-8402-133X"}],"homepage":"http://acgg.asia/db/diseases/html/ggdonto.html","identifier":855,"description":"Focused on the molecular etiology, pathogenesis, and clinical manifestations of genetic diseases and disorders of glycan metabolism and developed as a knowledge-base for this scientific field, GGDonto provides comprehensive information on various topics, including links to aid the integration with other scientific resources. The availability and accessibility of this knowledge will help users better understand how genetic defects impact the metabolism of glycans as well as how this impaired metabolism affects various biological functions and human health. In this way, GGDonto will be useful in fields related to glycoscience, including cell biology, biotechnology, and biomedical, and pharmaceutical research.","abbreviation":"GGDonto","support_links":[{"url":"http://jcggdb.jp/rdf/diseases/ggdonto_en.pdf","name":"User Guide","type":"Help documentation"},{"url":"http://jcggdb.jp/rdf/diseases/documentation_ggdonto.pdf","name":"Ontology Documentation","type":"Help documentation"},{"url":"http://jcggdb.jp/rdf/diseases/ggdonto_diagram.png","name":"Ontology diagram","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001211","bsg-s001211"],"name":"FAIRsharing record for: Genetic Glyco-Diseases Ontology","abbreviation":"GGDonto","url":"https://fairsharing.org/10.25504/FAIRsharing.424420","doi":"10.25504/FAIRsharing.424420","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Focused on the molecular etiology, pathogenesis, and clinical manifestations of genetic diseases and disorders of glycan metabolism and developed as a knowledge-base for this scientific field, GGDonto provides comprehensive information on various topics, including links to aid the integration with other scientific resources. The availability and accessibility of this knowledge will help users better understand how genetic defects impact the metabolism of glycans as well as how this impaired metabolism affects various biological functions and human health. In this way, GGDonto will be useful in fields related to glycoscience, including cell biology, biotechnology, and biomedical, and pharmaceutical research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Glycan sequences"],"countries":["Japan"],"publications":[{"id":2219,"pubmed_id":29669592,"title":"GGDonto ontology as a knowledge-base for genetic diseases and disorders of glycan metabolism and their causative genes.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0182-0","authors":"Solovieva E,Shikanai T,Fujita N,Narimatsu H","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0182-0","created_at":"2021-09-30T08:26:30.048Z","updated_at":"2021-09-30T08:26:30.048Z"}],"licence_links":[],"grants":[{"id":6289,"fairsharing_record_id":855,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:55.212Z","updated_at":"2021-09-30T09:27:55.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9309,"fairsharing_record_id":855,"organisation_id":2007,"relation":"maintains","created_at":"2022-04-11T12:07:29.412Z","updated_at":"2022-04-11T12:07:29.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"856","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:34:38.153Z","metadata":{"doi":"10.25504/FAIRsharing.y2dt83","name":"Cell Behavior Ontology","status":"ready","contacts":[{"contact_name":"James P. Sluka","contact_email":"JSluka@indiana.edu","contact_orcid":"0000-0002-5901-1404"}],"homepage":"http://cbo.biocomplexity.indiana.edu/cbo/","identifier":856,"description":"The Cell Behavior Ontology (CBO) describes multi-cell computational models. In particular to describe both the existential behaviors of cells (spatiality, growth, movement, adhesion, death, ...) and computational models of those behaviors.","abbreviation":"CBO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CBO","name":"CBO","portal":"BioPortal"}]},"legacy_ids":["bsg-002570","bsg-s002570"],"name":"FAIRsharing record for: Cell Behavior Ontology","abbreviation":"CBO","url":"https://fairsharing.org/10.25504/FAIRsharing.y2dt83","doi":"10.25504/FAIRsharing.y2dt83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Behavior Ontology (CBO) describes multi-cell computational models. In particular to describe both the existential behaviors of cells (spatiality, growth, movement, adhesion, death, ...) and computational models of those behaviors.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10877},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12016},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16929}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Systems Biology"],"domains":["Mathematical model","Cell","Cell adhesion"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2458,"pubmed_id":24755304,"title":"The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu210","authors":"Sluka JP, Shirinifard A, Swat M, Cosmanescu A, Heiland RW, Glazier JA.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu210","created_at":"2021-09-30T08:27:01.503Z","updated_at":"2021-09-30T08:27:01.503Z"}],"licence_links":[],"grants":[{"id":6291,"fairsharing_record_id":856,"organisation_id":1327,"relation":"maintains","created_at":"2021-09-30T09:27:55.262Z","updated_at":"2021-09-30T09:27:55.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6292,"fairsharing_record_id":856,"organisation_id":2950,"relation":"funds","created_at":"2021-09-30T09:27:55.293Z","updated_at":"2021-09-30T09:29:24.953Z","grant_id":238,"is_lead":false,"saved_state":{"id":2950,"name":"United States Environmental Protection Agency","grant":"R835001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6293,"fairsharing_record_id":856,"organisation_id":393,"relation":"maintains","created_at":"2021-09-30T09:27:55.401Z","updated_at":"2021-09-30T09:27:55.401Z","grant_id":null,"is_lead":false,"saved_state":{"id":393,"name":"Cell Behaviour Ontology (CBO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6295,"fairsharing_record_id":856,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:55.485Z","updated_at":"2021-09-30T09:27:55.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6294,"fairsharing_record_id":856,"organisation_id":1960,"relation":"funds","created_at":"2021-09-30T09:27:55.443Z","updated_at":"2021-09-30T09:29:50.712Z","grant_id":431,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","grant":"LM007885","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6290,"fairsharing_record_id":856,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:55.237Z","updated_at":"2021-09-30T09:30:30.371Z","grant_id":739,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01GM76692","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"857","type":"fairsharing_records","attributes":{"created_at":"2018-07-02T16:21:51.000Z","updated_at":"2022-11-30T07:48:15.987Z","metadata":{"doi":"10.25504/FAIRsharing.wqSgg8","name":"Project Tycho 2.0 custom-compiled dataset format","status":"ready","contacts":[{"contact_name":"Wilbert van Panhuis","contact_email":"wilbert.van.panhuis@pitt.edu","contact_orcid":"0000-0002-7278-9982"}],"homepage":"https://www.tycho.pitt.edu/dataformat/ProjectTychoCustomCompiledDataFormat.pdf","citations":[],"identifier":857,"description":"The Project Tycho 2.0 custom-compiled dataset format is used for datasets compiled and downloaded through the Project Tycho Graphical User Interface or API. In addition to those fields available to the pre-compiled dataset formats provided by Tycho, this custom-compiled dataset format also includes, for each count, the DOI of the pre-compiled dataset that contains the count.","abbreviation":null,"support_links":[{"url":"https://www.tycho.pitt.edu/#contact","name":"Project Tycho contact form","type":"Contact form"}],"year_creation":2018},"legacy_ids":["bsg-001219","bsg-s001219"],"name":"FAIRsharing record for: Project Tycho 2.0 custom-compiled dataset format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.wqSgg8","doi":"10.25504/FAIRsharing.wqSgg8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Project Tycho 2.0 custom-compiled dataset format is used for datasets compiled and downloaded through the Project Tycho Graphical User Interface or API. In addition to those fields available to the pre-compiled dataset formats provided by Tycho, this custom-compiled dataset format also includes, for each count, the DOI of the pre-compiled dataset that contains the count.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12536}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Bacteria","Eukaryota","Fungi","Homo sapiens","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":682,"relation":"undefined"},{"licence_name":"Project Tycho CC BY 4.0 License Document","licence_id":684,"licence_url":"https://www.tycho.pitt.edu/license/","link_id":678,"relation":"undefined"}],"grants":[{"id":6296,"fairsharing_record_id":857,"organisation_id":3115,"relation":"maintains","created_at":"2021-09-30T09:27:55.522Z","updated_at":"2021-09-30T09:27:55.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6300,"fairsharing_record_id":857,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:27:55.686Z","updated_at":"2021-09-30T09:30:41.021Z","grant_id":820,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"49276","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6299,"fairsharing_record_id":857,"organisation_id":2370,"relation":"maintains","created_at":"2021-09-30T09:27:55.635Z","updated_at":"2021-09-30T09:27:55.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2370,"name":"Project Tycho","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6298,"fairsharing_record_id":857,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:27:55.593Z","updated_at":"2021-09-30T09:32:41.287Z","grant_id":1733,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"5K01ES026836-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6297,"fairsharing_record_id":857,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:55.555Z","updated_at":"2021-09-30T09:28:56.182Z","grant_id":22,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"5U54GM088491-09","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ3NCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--184ae00f258551bd2d121570b6def89bd3b033d4/tycho.png?disposition=inline","exhaustive_licences":false}},{"id":"858","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:26.656Z","metadata":{"doi":"10.25504/FAIRsharing.haj4pr","name":"Binary Probe Map Format","status":"ready","homepage":"http://www.affymetrix.com/support/developer/powertools/changelog/gcos-agcc/bpmap.html","identifier":858,"description":"The BPMAP file contains information relating to the design of the Affymetrix tiling arrays. The format of the BPMAP file is a binary file with data stored in big-endian format.","abbreviation":"BPMAP","year_creation":2009},"legacy_ids":["bsg-000215","bsg-s000215"],"name":"FAIRsharing record for: Binary Probe Map Format","abbreviation":"BPMAP","url":"https://fairsharing.org/10.25504/FAIRsharing.haj4pr","doi":"10.25504/FAIRsharing.haj4pr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BPMAP file contains information relating to the design of the Affymetrix tiling arrays. The format of the BPMAP file is a binary file with data stored in big-endian format.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12433}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Biology"],"domains":["Expression data"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6301,"fairsharing_record_id":858,"organisation_id":2825,"relation":"maintains","created_at":"2021-09-30T09:27:55.723Z","updated_at":"2021-09-30T09:27:55.723Z","grant_id":null,"is_lead":true,"saved_state":{"id":2825,"name":"Thermo Fisher Scientific, Waltham, Massachusetts, United States","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"859","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:44:30.955Z","metadata":{"doi":"10.25504/FAIRsharing.7rngj0","name":"International Classification of Functioning, Disability and Health","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"info@who.int"}],"homepage":"https://www.who.int/standards/classifications/international-classification-of-functioning-disability-and-health","identifier":859,"description":"The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related domains. As the functioning and disability of an individual occurs in a context, ICF also includes a list of environmental factors. ICF is the WHO framework for measuring health and disability at both individual and population levels. ICF was officially endorsed by all 191 WHO Member States in the Fifty-fourth World Health Assembly on 22 May 2001 (resolution WHA 54.21) as the international standard to describe and measure health and disability.","abbreviation":"ICF","support_links":[{"url":"https://www.who.int/docs/default-source/classification/icf/drafticfpracticalmanual2.pdf?sfvrsn=8a214b01_4","name":"Practical User Manual","type":"Help documentation"},{"url":"https://cdn.who.int/media/docs/default-source/classification/icf/icfbeginnersguide.pdf?sfvrsn=eead63d3_4","name":"Beginner's Guide","type":"Help documentation"},{"url":"https://www.icf-core-sets.org/","name":"ICF Core Sets","type":"Help documentation"},{"url":"https://www.who.int/docs/default-source/classification/icf/icfchecklist.pdf?sfvrsn=b7ff99e9_4","name":"ICF Patient Checklist","type":"Help documentation"},{"url":"https://apps.who.int/gb/archive/pdf_files/WHA54/ea54r21.pdf?ua=1\u0026ua=1\u0026ua=1","name":"World Health Assembly Resolution WHA 54.21","type":"Help documentation"},{"url":"http://icfeducation.org/","name":"ICF Education Portal","type":"Help documentation"},{"url":"https://www.icf-elearning.com/","name":"ICF e-Learning Tool","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/International_Classification_of_Functioning,_Disability_and_Health","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2001,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICF","name":"ICF","portal":"BioPortal"}]},"legacy_ids":["bsg-002643","bsg-s002643"],"name":"FAIRsharing record for: International Classification of Functioning, Disability and Health","abbreviation":"ICF","url":"https://fairsharing.org/10.25504/FAIRsharing.7rngj0","doi":"10.25504/FAIRsharing.7rngj0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related domains. As the functioning and disability of an individual occurs in a context, ICF also includes a list of environmental factors. ICF is the WHO framework for measuring health and disability at both individual and population levels. ICF was officially endorsed by all 191 WHO Member States in the Fifty-fourth World Health Assembly on 22 May 2001 (resolution WHA 54.21) as the international standard to describe and measure health and disability.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16979}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Primary Health Care","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":1417,"relation":"undefined"},{"licence_name":"World Health Organization (WHO) Copyright, Licencing and Permissions","licence_id":868,"licence_url":"https://www.who.int/about/who-we-are/publishing-policies/copyright","link_id":1415,"relation":"undefined"}],"grants":[{"id":6302,"fairsharing_record_id":859,"organisation_id":1478,"relation":"maintains","created_at":"2021-09-30T09:27:55.786Z","updated_at":"2021-09-30T09:27:55.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":1478,"name":"International Classification of Functioning, Disability and Health (ICF) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"860","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T12:29:34.031Z","metadata":{"doi":"10.25504/FAIRsharing.2fnz2n","name":"GlycoRDF","status":"ready","contacts":[{"contact_name":"Issaku Yamada","contact_email":"issaku@noguchi.or.jp"}],"homepage":"http://www.glycoinfo.org/GlycoRDF/","citations":[{"doi":"10.1093/bioinformatics/btu732","pubmed_id":25388145,"publication_id":2190}],"identifier":860,"description":"GlycoRDF is a standard representation for storing Glycomcis data (glycan structures, publication information, biological source information, experimental data) in RDF. The RDF language is defined by an OWL ontology and documented in the ontology and generated WORD files. Its GitHub repository also contains source code for the generation of RDF data for glycomics databases.","abbreviation":"GLYCORDF","support_links":[{"url":"https://github.com/ReneRanzinger/GlycoRDF/blob/master/ontology/documentation.docx","name":"Documentation (Word format)","type":"Github"}],"year_creation":2014,"associated_tools":[{"url":"https://bit.ly/2BjEgZB","name":"Ontology Visualization"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GLYCORDF","name":"GLYCORDF","portal":"BioPortal"}]},"legacy_ids":["bsg-000889","bsg-s000889"],"name":"FAIRsharing record for: GlycoRDF","abbreviation":"GLYCORDF","url":"https://fairsharing.org/10.25504/FAIRsharing.2fnz2n","doi":"10.25504/FAIRsharing.2fnz2n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoRDF is a standard representation for storing Glycomcis data (glycan structures, publication information, biological source information, experimental data) in RDF. The RDF language is defined by an OWL ontology and documented in the ontology and generated WORD files. Its GitHub repository also contains source code for the generation of RDF data for glycomics databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Glycomics"],"domains":["Molecular structure"],"taxonomies":["All"],"user_defined_tags":["Glycan Annotation"],"countries":["Australia","Japan","United States"],"publications":[{"id":2078,"pubmed_id":24280648,"title":"Introducing glycomics data into the Semantic Web.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-39","authors":"Aoki-Kinoshita KF,Bolleman J,Campbell MP,Kawano S,Kim JD,Lutteke T,Matsubara M,Okuda S,Ranzinger R,Sawaki H,Shikanai T,Shinmachi D,Suzuki Y,Toukach P,Yamada I,Packer NH,Narimatsu H","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-39","created_at":"2021-09-30T08:26:14.257Z","updated_at":"2021-09-30T08:26:14.257Z"},{"id":2190,"pubmed_id":25388145,"title":"GlycoRDF: an ontology to standardize glycomics data in RDF.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu732","authors":"Ranzinger R,Aoki-Kinoshita KF,Campbell MP,Kawano S,Lutteke T,Okuda S,Shinmachi D,Shikanai T,Sawaki H,Toukach P,Matsubara M,Yamada I,Narimatsu H","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu732","created_at":"2021-09-30T08:26:26.872Z","updated_at":"2021-09-30T08:26:26.872Z"}],"licence_links":[],"grants":[{"id":6305,"fairsharing_record_id":860,"organisation_id":2591,"relation":"maintains","created_at":"2021-09-30T09:27:55.898Z","updated_at":"2021-09-30T09:27:55.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":2591,"name":"Soka University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6303,"fairsharing_record_id":860,"organisation_id":1201,"relation":"maintains","created_at":"2021-09-30T09:27:55.822Z","updated_at":"2021-09-30T09:27:55.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":1201,"name":"Griffith University, Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6304,"fairsharing_record_id":860,"organisation_id":2813,"relation":"maintains","created_at":"2021-09-30T09:27:55.860Z","updated_at":"2021-09-30T09:27:55.860Z","grant_id":null,"is_lead":false,"saved_state":{"id":2813,"name":"The Noguchi Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6306,"fairsharing_record_id":860,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:27:55.932Z","updated_at":"2021-09-30T09:27:55.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"861","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:19:04.808Z","metadata":{"doi":"10.25504/FAIRsharing.cp0fs9","name":"ARLEQUIN Project Format","status":"ready","contacts":[{"contact_name":"Laurent Excoffier","contact_email":"laurent.excoffier@zoo.unibe.ch","contact_orcid":"0000-0002-7507-6494"}],"homepage":"http://cmpg.unibe.ch/software/arlequin35/","identifier":861,"description":"Arlequin ver 3.0 is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework.","abbreviation":null,"support_links":[{"url":"http://cmpg.unibe.ch/software/arlequin35/Arl35Screenshots.html","type":"Help documentation"},{"url":"http://popgen.unibe.ch/software/arlequin35/man/Arlequin35.pdf","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-000207","bsg-s000207"],"name":"FAIRsharing record for: ARLEQUIN Project Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.cp0fs9","doi":"10.25504/FAIRsharing.cp0fs9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Arlequin ver 3.0 is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Population Genetics"],"domains":["DNA sequence data","Analysis","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1682,"pubmed_id":19325852,"title":"Arlequin (version 3.0): an integrated software package for population genetics data analysis.","year":2005,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19325852","authors":"Excoffier L,Laval G,Schneider S","journal":"Evol Bioinform Online","doi":null,"created_at":"2021-09-30T08:25:28.462Z","updated_at":"2021-09-30T08:25:28.462Z"},{"id":1683,"pubmed_id":21565059,"title":"Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.","year":2011,"url":"http://doi.org/10.1111/j.1755-0998.2010.02847.x","authors":"Excoffier L,Lischer HE","journal":"Mol Ecol Resour","doi":"10.1111/j.1755-0998.2010.02847.x","created_at":"2021-09-30T08:25:28.571Z","updated_at":"2021-09-30T08:25:28.571Z"}],"licence_links":[],"grants":[{"id":6307,"fairsharing_record_id":861,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:27:55.964Z","updated_at":"2021-09-30T09:31:05.432Z","grant_id":1011,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31-56755.99","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6308,"fairsharing_record_id":861,"organisation_id":575,"relation":"maintains","created_at":"2021-09-30T09:27:55.993Z","updated_at":"2021-09-30T09:27:55.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":575,"name":"Computational and Molecular Population Genetics Lab, University of Bern, Bern, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"840","type":"fairsharing_records","attributes":{"created_at":"2019-11-22T15:18:30.000Z","updated_at":"2022-07-20T09:55:24.772Z","metadata":{"doi":"10.25504/FAIRsharing.NIvbz9","name":"Art and Archaeology Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/27X/en/","citations":[],"identifier":840,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Art and Archaeology\" FRANCIS database (1972-2015). It consists of 1960 entries available in mainly 2 languages (English, French) and grouped into 133 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001403","bsg-s001403"],"name":"FAIRsharing record for: Art and Archaeology Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.NIvbz9","doi":"10.25504/FAIRsharing.NIvbz9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Art and Archaeology\" FRANCIS database (1972-2015). It consists of 1960 entries available in mainly 2 languages (English, French) and grouped into 133 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11297}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Archaeology","Humanities","Art"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1340,"relation":"undefined"}],"grants":[{"id":6253,"fairsharing_record_id":840,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:54.261Z","updated_at":"2021-09-30T09:27:54.261Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6254,"fairsharing_record_id":840,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:54.285Z","updated_at":"2021-09-30T09:27:54.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"841","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T17:29:10.000Z","updated_at":"2023-05-05T08:42:45.921Z","metadata":{"doi":"10.25504/FAIRsharing.hgsFLe","name":"Darwin Core Germplasm","status":"ready","contacts":[{"contact_name":"Dag Endresen","contact_email":"dag.endresen@gmail.com","contact_orcid":"0000-0002-2352-5497"}],"homepage":"https://github.com/dagendresen/darwincore-germplasm","citations":[],"identifier":841,"description":"The Darwin Core germplasm extension (DwC-germplasm) was developed to provide a bridge between the established standards in use by the genebank community for plant genetic resources for food and agriculture (PGRFA) and the standards maintained by the Biodiversity Information Standards/Taxonomic Databases Working Group (TDWG). The DwC-germplasm provides an extension to the Darwin Core standard of the TDWG for occurrences. Darwin Core can be seen as an extension to the Dublin Core Metadata Data Initiative (DCMI) terms.","abbreviation":"DwC-germplasm","year_creation":2012},"legacy_ids":["bsg-001319","bsg-s001319"],"name":"FAIRsharing record for: Darwin Core Germplasm","abbreviation":"DwC-germplasm","url":"https://fairsharing.org/10.25504/FAIRsharing.hgsFLe","doi":"10.25504/FAIRsharing.hgsFLe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Darwin Core germplasm extension (DwC-germplasm) was developed to provide a bridge between the established standards in use by the genebank community for plant genetic resources for food and agriculture (PGRFA) and the standards maintained by the Biodiversity Information Standards/Taxonomic Databases Working Group (TDWG). The DwC-germplasm provides an extension to the Darwin Core standard of the TDWG for occurrences. Darwin Core can be seen as an extension to the Dublin Core Metadata Data Initiative (DCMI) terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Biodiversity","Agriculture","Biology","Plant Genetics"],"domains":["Resource metadata","Food"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Norway"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":76,"relation":"undefined"}],"grants":[{"id":6255,"fairsharing_record_id":841,"organisation_id":2092,"relation":"maintains","created_at":"2021-09-30T09:27:54.311Z","updated_at":"2021-09-30T09:27:54.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2092,"name":"Natural History Museum at the University of Oslo, Norway","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"842","type":"fairsharing_records","attributes":{"created_at":"2020-09-20T08:55:45.000Z","updated_at":"2022-07-20T10:08:34.170Z","metadata":{"doi":"10.25504/FAIRsharing.e68dba","name":"Paleoenvironmental Standard Terms Thesaurus","status":"ready","contacts":[{"contact_name":"NCEI Paleoclimatology General Contact","contact_email":"paleo@noaa.gov"}],"homepage":"https://www.ncdc.noaa.gov/data-access/paleoclimatology-data/past-thesaurus","citations":[],"identifier":842,"description":"The Paleoenvironmental Standard Terms (PaST) Thesaurus is a thesaurus of standard terms used for defining measured variables by the World Data Service for Paleoclimatology. These terms describe the quantity measured, the material on which it was measured, reported error, units, analytical or statistical methods, transformations made to raw data, reconstructed seasonality, data type, and data format. Standard terms organize heterogeneous paleoclimate datasets and improve the findability, interoperability, and reusability of data.","abbreviation":"PaST Thesaurus","support_links":[{"url":"https://www.ncei.noaa.gov/pub/data/paleo/PaST-thesaurus/Variable_naming_guide.pdf","name":"Variable Naming Guide (PDF)","type":"Help documentation"},{"url":"https://www1.ncdc.noaa.gov/pub/data/paleo/PaST-thesaurus/PaST-governance.pdf","name":"PaST Governance","type":"Help documentation"}]},"legacy_ids":["bsg-001528","bsg-s001528"],"name":"FAIRsharing record for: Paleoenvironmental Standard Terms Thesaurus","abbreviation":"PaST Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.e68dba","doi":"10.25504/FAIRsharing.e68dba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Paleoenvironmental Standard Terms (PaST) Thesaurus is a thesaurus of standard terms used for defining measured variables by the World Data Service for Paleoclimatology. These terms describe the quantity measured, the material on which it was measured, reported error, units, analytical or statistical methods, transformations made to raw data, reconstructed seasonality, data type, and data format. Standard terms organize heterogeneous paleoclimate datasets and improve the findability, interoperability, and reusability of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Paleoceanography","Paleoclimatology","Paleolimnology"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6256,"fairsharing_record_id":842,"organisation_id":1971,"relation":"maintains","created_at":"2021-09-30T09:27:54.335Z","updated_at":"2021-09-30T09:27:54.335Z","grant_id":null,"is_lead":true,"saved_state":{"id":1971,"name":"National Centers for Environmental Information (NCEI), National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"843","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2021-11-24T13:20:18.757Z","metadata":{"doi":"10.25504/FAIRsharing.wqy605","name":"Ontology Metadata Vocabulary","status":"ready","contacts":[{"contact_name":"Raúl Palma","contact_email":"rpalma@man.poznan.pl"}],"homepage":"http://omv2.sourceforge.net/index.html","identifier":843,"description":"A standard for ontology metadata; a vocabulary of terms and definitions describing ontologies which specifies reusability-enhancing ontology features for human and machine processing purposes.","abbreviation":"OMV","support_links":[{"url":"jgraybeal@stanford.edu","name":"John Graybeal","type":"Support email"},{"url":"phaase@gmail.com","name":"Peter Haase","type":"Support email"}],"year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMV","name":"OMV","portal":"BioPortal"}]},"legacy_ids":["bsg-000729","bsg-s000729"],"name":"FAIRsharing record for: Ontology Metadata Vocabulary","abbreviation":"OMV","url":"https://fairsharing.org/10.25504/FAIRsharing.wqy605","doi":"10.25504/FAIRsharing.wqy605","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A standard for ontology metadata; a vocabulary of terms and definitions describing ontologies which specifies reusability-enhancing ontology features for human and machine processing purposes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Germany","Poland","Spain"],"publications":[{"id":1952,"pubmed_id":null,"title":"OMV - Ontology Metadata Vocabulary","year":2005,"url":"https://www.researchgate.net/publication/228355305_OMV-ontology_metadata_vocabulary","authors":"Jens Hartmann, York Sure, Peter Haase, Raúl Palma, Mari del Carmen Suárez-Figueroa","journal":"ISWC 2005 - In Ontology Patterns for the Semantic Web","doi":null,"created_at":"2021-09-30T08:25:59.664Z","updated_at":"2021-09-30T11:28:33.628Z"},{"id":1971,"pubmed_id":null,"title":"Ontology Metadata Vocabulary and Applications","year":2005,"url":"https://link.springer.com/chapter/10.1007/11575863_112","authors":"Jens Hartmann, Raúl Palma, York Sure, Mari del Carmen Suárez-Figueroa, Peter Haase, Asunción Gómez-Pérez, Rudi Studer","journal":"International Conference on Ontologies, Databases and Applications of Semantics. In Workshop on Web Semantics (SWWS)","doi":null,"created_at":"2021-09-30T08:26:01.814Z","updated_at":"2021-09-30T11:28:33.860Z"},{"id":1972,"pubmed_id":null,"title":"DEMO - Design Environment for Metadata Ontologies","year":2006,"url":"https://link.springer.com/chapter/10.1007/11762256_32","authors":"Jens Hartmann, Elena Paslaru Bontas, Raúl Palma, Asunción Gómez-Pérez","journal":"The Semantic Web: Research and Applications, 3rd European Semantic Web Conference, ESWC 2006","doi":null,"created_at":"2021-09-30T08:26:01.916Z","updated_at":"2021-09-30T11:28:33.964Z"}],"licence_links":[],"grants":[{"id":6258,"fairsharing_record_id":843,"organisation_id":2351,"relation":"maintains","created_at":"2021-09-30T09:27:54.385Z","updated_at":"2021-09-30T09:27:54.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":2351,"name":"Poznan Supercomputing and Networking Center, Poznan, Poland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6257,"fairsharing_record_id":843,"organisation_id":2968,"relation":"maintains","created_at":"2021-09-30T09:27:54.362Z","updated_at":"2021-09-30T09:27:54.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":2968,"name":"Universidad Politecnica de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6259,"fairsharing_record_id":843,"organisation_id":1624,"relation":"maintains","created_at":"2021-09-30T09:27:54.411Z","updated_at":"2021-09-30T09:27:54.411Z","grant_id":null,"is_lead":false,"saved_state":{"id":1624,"name":"Karlsruhe Institute of Technology","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"844","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.149Z","metadata":{"doi":"10.25504/FAIRsharing.6t5q3m","name":"African Traditional Medicine","status":"ready","contacts":[{"contact_name":"Ghislain Atemezing","contact_email":"ghislain.atemezing@gmail.com","contact_orcid":"0000-0002-9553-8123"}],"homepage":"http://ontohub.org/bioportal/ATMO///symbols?kind=Class","identifier":844,"description":"African Traditional Medicine Ontology (ATMO) describes the actors' function (healer, fetishist or soothsayer); the different types of proposed process treatment, the symptom's roles and the disease consideration.","abbreviation":"ATMO","support_links":[{"url":"https://www.researchgate.net/publication/221611189_An_Ontology_for_African_Traditional_Medicine","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ATMO","name":"ATMO","portal":"BioPortal"}]},"legacy_ids":["bsg-002574","bsg-s002574"],"name":"FAIRsharing record for: African Traditional Medicine","abbreviation":"ATMO","url":"https://fairsharing.org/10.25504/FAIRsharing.6t5q3m","doi":"10.25504/FAIRsharing.6t5q3m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: African Traditional Medicine Ontology (ATMO) describes the actors' function (healer, fetishist or soothsayer); the different types of proposed process treatment, the symptom's roles and the disease consideration.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Traditional Medicine","Biomedical Science"],"domains":["Disease process modeling"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Cameroon","Spain"],"publications":[{"id":1270,"pubmed_id":null,"title":"An Ontology for African Traditional Medicine","year":2009,"url":"http://doi.org/10.1007/978-3-540-85863-8_39","authors":"Atemezing G., Pavón J.","journal":"International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008).","doi":"10.1007/978-3-540-85863-8_39","created_at":"2021-09-30T08:24:41.801Z","updated_at":"2021-09-30T08:24:41.801Z"},{"id":1711,"pubmed_id":null,"title":"Towards a “Deep” Ontology for African Traditional Medicine","year":2011,"url":"http://doi.org/10.4236/iim.2011.36030","authors":"Ayimdji A, Koussoubé S, Fotso LP, Konfé BO","journal":"Intelligent Information Management","doi":"10.4236/iim.2011.36030","created_at":"2021-09-30T08:25:31.721Z","updated_at":"2021-09-30T08:25:31.721Z"}],"licence_links":[],"grants":[{"id":6260,"fairsharing_record_id":844,"organisation_id":835,"relation":"maintains","created_at":"2021-09-30T09:27:54.435Z","updated_at":"2021-09-30T09:27:54.435Z","grant_id":null,"is_lead":false,"saved_state":{"id":835,"name":"El Departamento de Ingenierea de Software e Inteligencia Artificial, Universidad Complitense,Madrid, Spain","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"845","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T11:51:57.000Z","updated_at":"2023-09-29T11:55:00.000Z","metadata":{"doi":"10.25504/FAIRsharing.60a646","name":"Information and documentation -- Thesauri and interoperability with other vocabularies -- Part 1: Thesauri for information retrieval","status":"ready","contacts":[{"contact_name":"Todd Carpenter","contact_email":"tcarpenter@niso.org"}],"homepage":"https://www.iso.org/standard/53657.html","citations":[],"identifier":845,"description":"ISO 25964-1:2011 gives recommendations for the development and maintenance of thesauri intended for information retrieval applications. It is applicable to vocabularies used for retrieving information about all types of information resources, irrespective of the media used (text, sound, still or moving image, physical object or multimedia) including knowledge bases and portals, bibliographic databases, text, museum or multimedia collections, and the items within them. ISO 25964-1:2011 also provides a data model and recommended format for the import and export of thesaurus data. ISO 25964-1:2011 is applicable to monolingual and multilingual thesauri.","abbreviation":"ISO 25964-1:2011","support_links":[{"url":"https://www.iso.org/contents/data/standard/05/36/53657.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2011},"legacy_ids":["bsg-001246","bsg-s001246"],"name":"FAIRsharing record for: Information and documentation -- Thesauri and interoperability with other vocabularies -- Part 1: Thesauri for information retrieval","abbreviation":"ISO 25964-1:2011","url":"https://fairsharing.org/10.25504/FAIRsharing.60a646","doi":"10.25504/FAIRsharing.60a646","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 25964-1:2011 gives recommendations for the development and maintenance of thesauri intended for information retrieval applications. It is applicable to vocabularies used for retrieving information about all types of information resources, irrespective of the media used (text, sound, still or moving image, physical object or multimedia) including knowledge bases and portals, bibliographic databases, text, museum or multimedia collections, and the items within them. ISO 25964-1:2011 also provides a data model and recommended format for the import and export of thesaurus data. ISO 25964-1:2011 is applicable to monolingual and multilingual thesauri.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Data retrieval","Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","thesaurus"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":289,"relation":"undefined"}],"grants":[{"id":10932,"fairsharing_record_id":845,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:22:30.017Z","updated_at":"2023-09-27T14:22:30.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6261,"fairsharing_record_id":845,"organisation_id":1531,"relation":"maintains","created_at":"2021-09-30T09:27:54.461Z","updated_at":"2021-09-30T09:27:54.461Z","grant_id":null,"is_lead":true,"saved_state":{"id":1531,"name":"International Standards Organisation (ISO) ISO/TC 46/SC 9: Identification and description","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"846","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.620Z","metadata":{"doi":"10.25504/FAIRsharing.recas1","name":"Regulation of Gene Expression Ontolology","status":"ready","contacts":[{"contact_name":"Martin Kuiper","contact_email":"kuiper@bio.ntnu.no","contact_orcid":"0000-0002-1171-9876"}],"homepage":"https://bioportal.bioontology.org/ontologies/REXO","identifier":846,"description":"An application ontology for the domain of gene expression regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","abbreviation":"ReXO","support_links":[{"url":"cco@nt.ntnu.no","type":"Support email"},{"url":"vladimir.n.mironov@gmail.com","name":"Vladimir Mironov","type":"Support email"},{"url":"ccofriends@bio.ntnu.no","type":"Mailing list"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/REXO","name":"REXO","portal":"BioPortal"}]},"legacy_ids":["bsg-002831","bsg-s002831"],"name":"FAIRsharing record for: Regulation of Gene Expression Ontolology","abbreviation":"ReXO","url":"https://fairsharing.org/10.25504/FAIRsharing.recas1","doi":"10.25504/FAIRsharing.recas1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of gene expression regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12472}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Regulation of gene expression","Orthologous"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":972,"pubmed_id":25490885,"title":"Finding gene regulatory network candidates using the gene expression knowledge base.","year":2014,"url":"http://doi.org/10.1186/s12859-014-0386-y","authors":"Venkatesan A,Tripathi S,Sanz de Galdeano A,Blonde W,Laegreid A,Mironov V,Kuiper M","journal":"BMC Bioinformatics","doi":"10.1186/s12859-014-0386-y","created_at":"2021-09-30T08:24:07.541Z","updated_at":"2021-09-30T08:24:07.541Z"}],"licence_links":[],"grants":[{"id":6262,"fairsharing_record_id":846,"organisation_id":2544,"relation":"maintains","created_at":"2021-09-30T09:27:54.485Z","updated_at":"2021-09-30T09:27:54.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2544,"name":"Semantic Systems Biology Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"847","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T17:50:22.000Z","updated_at":"2022-07-20T12:08:17.519Z","metadata":{"doi":"10.25504/FAIRsharing.ed7f20","name":"EDMED Metadata profile format","status":"ready","contacts":[{"contact_name":"General enquiries","contact_email":"enquiries@bodc.ac.uk"}],"homepage":"https://www.bodc.ac.uk/resources/inventories/edmed/","identifier":847,"description":"The EDMED Metadata Profile checklist defines a 2-part checklist of items that should be included in EDMED entries. Part A describes the centre (e.g. laboratory, institute, university department) holding the data set(s) referenced in the entry. Part A is followed by one or more occurrences of Part B, each of which contains the description of a single data set.","abbreviation":null,"year_creation":1999},"legacy_ids":["bsg-001320","bsg-s001320"],"name":"FAIRsharing record for: EDMED Metadata profile format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ed7f20","doi":"10.25504/FAIRsharing.ed7f20","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EDMED Metadata Profile checklist defines a 2-part checklist of items that should be included in EDMED entries. Part A describes the centre (e.g. laboratory, institute, university department) holding the data set(s) referenced in the entry. Part A is followed by one or more occurrences of Part B, each of which contains the description of a single data set.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science","Biology"],"domains":["Marine environment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"British Oceanographic Data Centre (BODC) Copyright Statement","licence_id":87,"licence_url":"https://www.bodc.ac.uk/resources/help_and_hints/using_this_web_site/copyright/","link_id":1503,"relation":"undefined"}],"grants":[{"id":6264,"fairsharing_record_id":847,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:27:54.535Z","updated_at":"2021-09-30T09:27:54.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6263,"fairsharing_record_id":847,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:54.511Z","updated_at":"2021-09-30T09:27:54.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6265,"fairsharing_record_id":847,"organisation_id":2057,"relation":"maintains","created_at":"2021-09-30T09:27:54.562Z","updated_at":"2021-09-30T09:27:54.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":2057,"name":"National Oceanographic Centre (NOC), Liverpool Site, Liverpool, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"862","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:32.885Z","metadata":{"doi":"10.25504/FAIRsharing.gr46wx","name":"Transparent Reporting of Evaluations with Non-randomized Designs","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"trend@cdc.gov"}],"homepage":"https://www.cdc.gov/trendstatement/","identifier":862,"description":"Transparent Reporting of Evaluations with Non-randomized Designs (TREND) is a 22-item checklist specifically developed to guide standardized reporting of non-randomized controlled trials. The TREND statement complements the widely adopted CONsolidated Standards Of Reporting Trials (CONSORT) statement developed for randomized controlled trials. It is intended to be used as a guide when designing evaluation studies, reporting evaluation results, and reviewing manuscripts for scientific publication. Evidence-based public health decisions are based on evaluations of intervention studies with randomized and non-randomized designs. Transparent reporting is crucial for assessing the validity and efficacy of these intervention studies, and, it facilitates synthesis of the findings for evidence-based recommendations. TREND is intended to improve the reporting standards of non-randomized evaluations of behavioral and public health intervention.","abbreviation":"TREND","year_creation":2003},"legacy_ids":["bsg-000066","bsg-s000066"],"name":"FAIRsharing record for: Transparent Reporting of Evaluations with Non-randomized Designs","abbreviation":"TREND","url":"https://fairsharing.org/10.25504/FAIRsharing.gr46wx","doi":"10.25504/FAIRsharing.gr46wx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Transparent Reporting of Evaluations with Non-randomized Designs (TREND) is a 22-item checklist specifically developed to guide standardized reporting of non-randomized controlled trials. The TREND statement complements the widely adopted CONsolidated Standards Of Reporting Trials (CONSORT) statement developed for randomized controlled trials. It is intended to be used as a guide when designing evaluation studies, reporting evaluation results, and reviewing manuscripts for scientific publication. Evidence-based public health decisions are based on evaluations of intervention studies with randomized and non-randomized designs. Transparent reporting is crucial for assessing the validity and efficacy of these intervention studies, and, it facilitates synthesis of the findings for evidence-based recommendations. TREND is intended to improve the reporting standards of non-randomized evaluations of behavioral and public health intervention.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11931},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12397}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Systematic review","Non-randomized controlled trials"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":829,"pubmed_id":14998794,"title":"Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement.","year":2004,"url":"http://doi.org/10.2105/ajph.94.3.361","authors":"Des Jarlais DC,Lyles C,Crepaz N","journal":"Am J Public Health","doi":"10.2105/ajph.94.3.361","created_at":"2021-09-30T08:23:51.429Z","updated_at":"2021-09-30T08:23:51.429Z"},{"id":1671,"pubmed_id":23257774,"title":"Evaluating the impact and use of Transparent Reporting of Evaluations with Non-randomised Designs (TREND) reporting guidelines.","year":2012,"url":"http://doi.org/10.1136/bmjopen-2012-002073","authors":"Fuller T,Pearson M,Peters JL,Anderson R","journal":"BMJ Open","doi":"10.1136/bmjopen-2012-002073","created_at":"2021-09-30T08:25:27.220Z","updated_at":"2021-09-30T08:25:27.220Z"},{"id":1672,"pubmed_id":25211744,"title":"Impact of the transparent reporting of evaluations with nonrandomized designs reporting guideline: ten years on.","year":2014,"url":"http://doi.org/10.2105/AJPH.2014.302195","authors":"Fuller T,Peters J,Pearson M,Anderson R","journal":"Am J Public Health","doi":"10.2105/AJPH.2014.302195","created_at":"2021-09-30T08:25:27.329Z","updated_at":"2021-09-30T08:25:27.329Z"}],"licence_links":[{"licence_name":"CDC Privacy Policy","licence_id":109,"licence_url":"http://www.cdc.gov/Other/privacy.html","link_id":454,"relation":"undefined"}],"grants":[{"id":6309,"fairsharing_record_id":862,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:56.023Z","updated_at":"2021-09-30T09:27:56.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6310,"fairsharing_record_id":862,"organisation_id":442,"relation":"maintains","created_at":"2021-09-30T09:27:56.054Z","updated_at":"2021-09-30T09:27:56.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":442,"name":"Centers for Disease Control and Prevention, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6311,"fairsharing_record_id":862,"organisation_id":2873,"relation":"maintains","created_at":"2021-09-30T09:27:56.085Z","updated_at":"2021-09-30T09:27:56.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":2873,"name":"TREND group","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"863","type":"fairsharing_records","attributes":{"created_at":"2019-09-23T09:02:14.000Z","updated_at":"2022-07-20T13:21:42.811Z","metadata":{"doi":"10.25504/FAIRsharing.ms2BuC","name":"Dutch ColoRectal Audit - Radiotherapy","status":"ready","contacts":[{"contact_name":"DICA Service Desk","contact_email":"fair@mrdm.nl"},{"contact_name":"DICA Information analysis","contact_email":"informatieanalyse@dica.nl","contact_orcid":null}],"homepage":"https://github.com/mrdm-nl/dica-set-dcrar","citations":[],"identifier":863,"description":"The Dutch ColoRectal Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of colorectal carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the DCRA-R data.","abbreviation":"DCRA-R","support_links":[{"url":"http://dica.nl/media/2034/20190425%20DCRA%20ENG%20vertaling.pdf","name":"DCRA Main Features","type":"Help documentation"},{"url":"https://dica.nl/dcra/documenten","name":"DCRA-R Document Homepage","type":"Help documentation"},{"url":"https://dica.nl/dcra/dcra-fair","name":"DCRA-R FAIR information","type":"Other"}],"year_creation":2019},"legacy_ids":["bsg-001390","bsg-s001390"],"name":"FAIRsharing record for: Dutch ColoRectal Audit - Radiotherapy","abbreviation":"DCRA-R","url":"https://fairsharing.org/10.25504/FAIRsharing.ms2BuC","doi":"10.25504/FAIRsharing.ms2BuC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dutch ColoRectal Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of colorectal carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the DCRA-R data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Oncology","Gastroenterology","Biomedical Science","Radiobiology"],"domains":["Cancer","Tumor","Radiotherapy"],"taxonomies":["Homo sapiens"],"user_defined_tags":["colon","colorectal","dose","Dose Volume Histogram","fraction","rectum"],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"DICA License and Terms of Use","licence_id":242,"licence_url":"http://dica.nl/media/2033/20190425%20DCRA%20ENG%20reglement.pdf","link_id":415,"relation":"undefined"}],"grants":[{"id":6312,"fairsharing_record_id":863,"organisation_id":795,"relation":"maintains","created_at":"2021-09-30T09:27:56.124Z","updated_at":"2021-09-30T09:27:56.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":795,"name":"Dutch Institute for Clinical Auditing (DICA)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6313,"fairsharing_record_id":863,"organisation_id":1906,"relation":"maintains","created_at":"2021-09-30T09:27:56.156Z","updated_at":"2021-09-30T09:27:56.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":1906,"name":"MRDM","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6314,"fairsharing_record_id":863,"organisation_id":2111,"relation":"maintains","created_at":"2021-09-30T09:27:56.189Z","updated_at":"2021-09-30T09:27:56.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":2111,"name":"Nederlandse Vereniging voor Radiotherapie en Oncologie (NVRO)","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"864","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.937Z","metadata":{"doi":"10.25504/FAIRsharing.2nrf9f","name":"Wiggle Track Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/wiggle.html","identifier":864,"description":"The wiggle (WIG) format is an older format for display of dense, continuous data such as GC percent, probability scores, and transcriptome data. The bigWig format is the recommended format for almost all graphing track needs. For speed and efficiency, wiggle data is compressed and stored internally in 128 unique bins. This compression means that there is a minor loss of precision when data is exported from a wiggle track (i.e., with output format \"data points\" or \"bed format\" within the Table Browser). The bedGraph format should be used if it is important to retain exact data when exporting.","abbreviation":"WIG","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000271","bsg-s000271"],"name":"FAIRsharing record for: Wiggle Track Format","abbreviation":"WIG","url":"https://fairsharing.org/10.25504/FAIRsharing.2nrf9f","doi":"10.25504/FAIRsharing.2nrf9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The wiggle (WIG) format is an older format for display of dense, continuous data such as GC percent, probability scores, and transcriptome data. The bigWig format is the recommended format for almost all graphing track needs. For speed and efficiency, wiggle data is compressed and stored internally in 128 unique bins. This compression means that there is a minor loss of precision when data is exported from a wiggle track (i.e., with output format \"data points\" or \"bed format\" within the Table Browser). The bedGraph format should be used if it is important to retain exact data when exporting.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12017}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Deoxyribonucleic acid","Genome","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6315,"fairsharing_record_id":864,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:56.212Z","updated_at":"2021-09-30T09:27:56.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"865","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:12.685Z","metadata":{"doi":"10.25504/FAIRsharing.mxz4jy","name":"Minimum Information for Publication of Quantitative Real-Time PCR Experiments","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@rdml.org"}],"homepage":"https://rdml.org/miqe.html","citations":[{"doi":"10.1373/clinchem.2008.112797","pubmed_id":19246619,"publication_id":1691}],"identifier":865,"description":"The aim of MIQE is to provide authors, reviewers and editors with specifications for the minimum information that must be reported for a qPCR experiment in order to ensure its relevance, accuracy, correct interpretation and repeatability.","abbreviation":"MIQE","support_links":[{"url":"https://github.com/RDML-consortium","name":"GitHub Project","type":"Github"}],"year_creation":2008,"associated_tools":[{"url":"https://sourceforge.net/projects/qpcr-ninja/","name":"RDML Ninja"}]},"legacy_ids":["bsg-000185","bsg-s000185"],"name":"FAIRsharing record for: Minimum Information for Publication of Quantitative Real-Time PCR Experiments","abbreviation":"MIQE","url":"https://fairsharing.org/10.25504/FAIRsharing.mxz4jy","doi":"10.25504/FAIRsharing.mxz4jy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of MIQE is to provide authors, reviewers and editors with specifications for the minimum information that must be reported for a qPCR experiment in order to ensure its relevance, accuracy, correct interpretation and repeatability.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11160},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11591},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11997}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biology"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Real time polymerase chain reaction","Gene expression","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Czech Republic","Germany","Sweden","United Kingdom","United States"],"publications":[{"id":1691,"pubmed_id":19246619,"title":"The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.","year":2009,"url":"http://doi.org/10.1373/clinchem.2008.112797","authors":"Bustin SA,Benes V,Garson JA,Hellemans J,Huggett J,Kubista M,Mueller R,Nolan T,Pfaffl MW,Shipley GL,Vandesompele J,Wittwer CT","journal":"Clin Chem","doi":"10.1373/clinchem.2008.112797","created_at":"2021-09-30T08:25:29.503Z","updated_at":"2021-09-30T08:25:29.503Z"},{"id":2150,"pubmed_id":20858237,"title":"MIQE precis: Practical implementation of minimum standard guidelines for fluorescence-based quantitative real-time PCR experiments.","year":2010,"url":"http://doi.org/10.1186/1471-2199-11-74","authors":"Bustin SA,Beaulieu JF,Huggett J,Jaggi R,Kibenge FS,Olsvik PA,Penning LC,Toegel S","journal":"BMC Mol Biol","doi":"10.1186/1471-2199-11-74","created_at":"2021-09-30T08:26:22.275Z","updated_at":"2021-09-30T08:26:22.275Z"}],"licence_links":[],"grants":[{"id":6316,"fairsharing_record_id":865,"organisation_id":632,"relation":"funds","created_at":"2021-09-30T09:27:56.238Z","updated_at":"2021-09-30T09:29:43.965Z","grant_id":377,"is_lead":false,"saved_state":{"id":632,"name":"Czech Academy of Science (CAS), Prague, Czech Republic","grant":"IAA500520809","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8067,"fairsharing_record_id":865,"organisation_id":632,"relation":"funds","created_at":"2021-09-30T09:30:44.961Z","updated_at":"2021-09-30T09:30:45.011Z","grant_id":851,"is_lead":false,"saved_state":{"id":632,"name":"Czech Academy of Science (CAS), Prague, Czech Republic","grant":"AV0250520701","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11583,"fairsharing_record_id":865,"organisation_id":2407,"relation":"maintains","created_at":"2024-03-21T13:59:12.510Z","updated_at":"2024-03-21T13:59:12.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":2407,"name":"RDML consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"866","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T14:02:57.000Z","updated_at":"2022-07-20T11:58:12.739Z","metadata":{"doi":"10.25504/FAIRsharing.dce535","name":"CSDMS Standard Names","status":"ready","contacts":[{"contact_name":"Scott Peckham","contact_email":"scott.peckham@colorado.edu"}],"homepage":"https://csdms.colorado.edu/wiki/CSDMS_Standard_Names","identifier":866,"description":"Community Surface Dynamics Modeling System (CSDMS) Standard Names (CSN) provide a comprehensive set of naming rules and patterns that are not specific to any particular modeling domain.They are an early form of research into the identification and categorization of scientific variables. CSDMS Standard Names were designed for parsability and natural alphabetical grouping. CSDMS Standard Names always consist of an object part and a quantity/attribute part and the quantity part may also have an operation prefix which can consist of multiple operations. The ideas and concepts first expressed with CSDMS Standard Names have been further developed in the Scientific Variables Ontology (SVO).","abbreviation":"CSN","support_links":[{"url":"CSDMS@colorado.edu","name":"General Contact","type":"Support email"},{"url":"https://csdms.colorado.edu/wiki/CSN_Motivation","name":"About CSN","type":"Help documentation"},{"url":"https://csdms.colorado.edu/wiki/CSN_Basic_Rules","name":"Curation Rules","type":"Help documentation"}],"year_creation":2014,"associated_tools":[{"url":"https://csdms.colorado.edu/wiki/Workbench","name":"CSDMS Workbench"}]},"legacy_ids":["bsg-001562","bsg-s001562"],"name":"FAIRsharing record for: CSDMS Standard Names","abbreviation":"CSN","url":"https://fairsharing.org/10.25504/FAIRsharing.dce535","doi":"10.25504/FAIRsharing.dce535","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Community Surface Dynamics Modeling System (CSDMS) Standard Names (CSN) provide a comprehensive set of naming rules and patterns that are not specific to any particular modeling domain.They are an early form of research into the identification and categorization of scientific variables. CSDMS Standard Names were designed for parsability and natural alphabetical grouping. CSDMS Standard Names always consist of an object part and a quantity/attribute part and the quantity part may also have an operation prefix which can consist of multiple operations. The ideas and concepts first expressed with CSDMS Standard Names have been further developed in the Scientific Variables Ontology (SVO).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Experimental measurement","Assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3110,"pubmed_id":null,"title":"The CSDMS Standard Names:Cross-Domain Naming Conventions forDescribing Process Models, Data Sets andTheir Associated Variables","year":2014,"url":"https://csdms.colorado.edu/mediawiki/images/Peckham_2014_iEMSs.pdf","authors":"S.D. Peckham (Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.))","journal":"Proceedings of the 7th International Congress on Environmental Modelling and Software, San Diego, California, USA","doi":null,"created_at":"2021-09-30T08:28:23.167Z","updated_at":"2021-09-30T08:28:23.167Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License 1.2","licence_id":354,"licence_url":"https://www.gnu.org/licenses/old-licenses/fdl-1.2.en.html","link_id":1180,"relation":"undefined"}],"grants":[{"id":6318,"fairsharing_record_id":866,"organisation_id":570,"relation":"maintains","created_at":"2021-09-30T09:27:56.310Z","updated_at":"2021-09-30T09:27:56.310Z","grant_id":null,"is_lead":true,"saved_state":{"id":570,"name":"Community Surface Dynamics Modeling System (CSDMS), University of Colorado, Boulder, CO, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"848","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.702Z","metadata":{"doi":"10.25504/FAIRsharing.9y4cqw","name":"Protein Data Bank Format","status":"ready","contacts":[{"contact_name":"Info","contact_email":"info@wwpdb.org"}],"homepage":"http://www.wwpdb.org/documentation/format33/v3.3.html","identifier":848,"description":"An exchange format for reporting experimentally determined three-dimensional structures of biological macromolecules that serves a global community of researchers, educators, and students. The data contained in the archive include atomic coordinates, bibliographic citations, primary and secondary structure, information, and crystallographic structure factors and NMR experimental data.","abbreviation":"PDB","support_links":[{"url":"ftp://ftp.wwpdb.org/pub/pdb/doc/format_descriptions/Format_v32_letter.pdf","type":"Help documentation"},{"url":"http://www.wwpdb.org/documentation/annotation","type":"Help documentation"}],"year_creation":1996},"legacy_ids":["bsg-000255","bsg-s000255"],"name":"FAIRsharing record for: Protein Data Bank Format","abbreviation":"PDB","url":"https://fairsharing.org/10.25504/FAIRsharing.9y4cqw","doi":"10.25504/FAIRsharing.9y4cqw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An exchange format for reporting experimentally determined three-dimensional structures of biological macromolecules that serves a global community of researchers, educators, and students. The data contained in the archive include atomic coordinates, bibliographic citations, primary and secondary structure, information, and crystallographic structure factors and NMR experimental data.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18239},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11994}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Atomic coordinate","Nuclear Magnetic Resonance (NMR) spectroscopy","X-ray crystallography assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":258,"pubmed_id":14634627,"title":"Announcing the worldwide Protein Data Bank.","year":2003,"url":"http://doi.org/10.1038/nsb1203-980","authors":"Berman H., Henrick K., Nakamura H.,","journal":"Nat. Struct. Biol.","doi":"10.1038/nsb1203-980","created_at":"2021-09-30T08:22:47.891Z","updated_at":"2021-09-30T08:22:47.891Z"}],"licence_links":[],"grants":[{"id":6266,"fairsharing_record_id":848,"organisation_id":3263,"relation":"maintains","created_at":"2021-09-30T09:27:54.585Z","updated_at":"2021-09-30T09:27:54.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"849","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T10:29:36.939Z","metadata":{"doi":"10.25504/FAIRsharing.k893xa","name":"MHC Restriction Ontology","status":"ready","contacts":[{"contact_name":"Bjoern Peters","contact_email":"bpeters@liai.org"}],"homepage":"https://github.com/IEDB/MRO","citations":[{"doi":"10.1186/s13326-016-0045-5","pubmed_id":26759709,"publication_id":668}],"identifier":849,"description":"MHC molecules form a highly diverse family of proteins that play a key role in cellular immune recognition. No consistent nomenclature exists across different vertebrate species. To correctly represent MHC related data in The Immune Epitope Database (IEDB), we built upon a previously established MHC ontology (MaHCO) and created MRO to represent MHC molecules as they relate to immunological experiments. MRO models MHC protein chains from 16 species, deals with different approaches used to identify MHC, such as direct sequencing verses serotyping, relates engineered MHC molecules to naturally occurring ones, connects genetic loci, alleles, protein chains and multichain proteins, and establishes evidence codes for MHC restriction.","abbreviation":"MRO","support_links":[{"url":"https://github.com/IEDB/MRO/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"http://www.obofoundry.org/ontology/mro.html","name":"mro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000774","bsg-s000774"],"name":"FAIRsharing record for: MHC Restriction Ontology","abbreviation":"MRO","url":"https://fairsharing.org/10.25504/FAIRsharing.k893xa","doi":"10.25504/FAIRsharing.k893xa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MHC molecules form a highly diverse family of proteins that play a key role in cellular immune recognition. No consistent nomenclature exists across different vertebrate species. To correctly represent MHC related data in The Immune Epitope Database (IEDB), we built upon a previously established MHC ontology (MaHCO) and created MRO to represent MHC molecules as they relate to immunological experiments. MRO models MHC protein chains from 16 species, deals with different approaches used to identify MHC, such as direct sequencing verses serotyping, relates engineered MHC molecules to naturally occurring ones, connects genetic loci, alleles, protein chains and multichain proteins, and establishes evidence codes for MHC restriction.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunology"],"domains":["Major histocompatibility complex","Immune system"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":668,"pubmed_id":26759709,"title":"An ontology for major histocompatibility restriction.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0045-5","authors":"Vita R,Overton JA,Seymour E,Sidney J,Kaufman J,Tallmadge RL,Ellis S,Hammond J,Butcher GW,Sette A,Peters B","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0045-5","created_at":"2021-09-30T08:23:33.727Z","updated_at":"2021-09-30T08:23:33.727Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":670,"relation":"undefined"}],"grants":[{"id":6270,"fairsharing_record_id":849,"organisation_id":1681,"relation":"maintains","created_at":"2021-09-30T09:27:54.700Z","updated_at":"2021-09-30T09:27:54.700Z","grant_id":null,"is_lead":true,"saved_state":{"id":1681,"name":"La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6268,"fairsharing_record_id":849,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:27:54.645Z","updated_at":"2021-09-30T09:27:54.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6269,"fairsharing_record_id":849,"organisation_id":614,"relation":"maintains","created_at":"2021-09-30T09:27:54.669Z","updated_at":"2021-09-30T09:27:54.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":614,"name":"Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6271,"fairsharing_record_id":849,"organisation_id":2819,"relation":"maintains","created_at":"2021-09-30T09:27:54.738Z","updated_at":"2021-09-30T09:27:54.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":2819,"name":"The Pirbright Institute, Woking, UK","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":9138,"fairsharing_record_id":849,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.006Z","updated_at":"2022-04-11T12:07:17.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"850","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T12:04:48.000Z","updated_at":"2022-07-20T12:28:12.169Z","metadata":{"doi":"10.25504/FAIRsharing.f494ee","name":"Internationalization Tag Set","status":"ready","contacts":[{"contact_name":"Felix Sasaki","contact_email":"felix@sasakiatcf.com"}],"homepage":"http://www.w3.org/TR/2007/REC-its-20070403/","identifier":850,"description":"ITS is designed to be used with schemas to support the internationalization and localization of schemas and documents. An implementation is provided for three schema languages: XML DTD, XML Schema and RELAX NG.","abbreviation":"ITS","support_links":[{"url":"https://www.w3.org/International/its/itstagset/its-errata.html","name":"Errata","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001247","bsg-s001247"],"name":"FAIRsharing record for: Internationalization Tag Set","abbreviation":"ITS","url":"https://fairsharing.org/10.25504/FAIRsharing.f494ee","doi":"10.25504/FAIRsharing.f494ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ITS is designed to be used with schemas to support the internationalization and localization of schemas and documents. An implementation is provided for three schema languages: XML DTD, XML Schema and RELAX NG.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":432,"relation":"undefined"}],"grants":[{"id":6272,"fairsharing_record_id":850,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:54.771Z","updated_at":"2021-09-30T09:27:54.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"851","type":"fairsharing_records","attributes":{"created_at":"2017-08-16T14:48:05.000Z","updated_at":"2022-11-30T07:48:31.043Z","metadata":{"doi":"10.25504/FAIRsharing.znmpch","name":"Project Tycho 2.0 pre-compiled dataset format","status":"ready","contacts":[{"contact_name":"Wilbert van Panhuis","contact_email":"wilbert.van.panhuis@pitt.edu","contact_orcid":"0000-0002-7278-9982"}],"homepage":"https://www.tycho.pitt.edu/dataformat/ProjectTychoPreCompiledDataFormat.pdf","citations":[],"identifier":851,"description":"The Project Tycho pre-compiled Data Format specifies the variables used and file format of pre-compiled datasets released by Project Tycho version 2.0. Project Tycho 2.0 pre-compiled datasets include counts of cases for conditions (i.e. disorders) in populations reported by health agencies. These counts can be specified for different geographical regions, for different time intervals, for various age ranges and/or subpopulations, and can represent fatalities (deaths) or not. Each datafile includes these, and other, attributes of counts.","abbreviation":null,"support_links":[{"url":"https://www.tycho.pitt.edu/#contact","name":"Project Tycho Contact Form","type":"Contact form"}],"year_creation":2018},"legacy_ids":["bsg-000718","bsg-s000718"],"name":"FAIRsharing record for: Project Tycho 2.0 pre-compiled dataset format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.znmpch","doi":"10.25504/FAIRsharing.znmpch","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Project Tycho pre-compiled Data Format specifies the variables used and file format of pre-compiled datasets released by Project Tycho version 2.0. Project Tycho 2.0 pre-compiled datasets include counts of cases for conditions (i.e. disorders) in populations reported by health agencies. These counts can be specified for different geographical regions, for different time intervals, for various age ranges and/or subpopulations, and can represent fatalities (deaths) or not. Each datafile includes these, and other, attributes of counts.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12444}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Bacteria","Eukaryota","Homo sapiens","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":439,"relation":"undefined"},{"licence_name":"Project Tycho CC BY 4.0 License Document","licence_id":684,"licence_url":"https://www.tycho.pitt.edu/license/","link_id":438,"relation":"undefined"}],"grants":[{"id":6274,"fairsharing_record_id":851,"organisation_id":708,"relation":"maintains","created_at":"2021-09-30T09:27:54.828Z","updated_at":"2021-09-30T09:27:54.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":708,"name":"Department of Epidemiology, University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6275,"fairsharing_record_id":851,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:54.861Z","updated_at":"2021-09-30T09:28:56.168Z","grant_id":22,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"5U54GM088491-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6273,"fairsharing_record_id":851,"organisation_id":2382,"relation":"maintains","created_at":"2021-09-30T09:27:54.804Z","updated_at":"2021-09-30T09:27:54.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":2382,"name":"Public Health Dynamics Laboratory, University of Pittsburgh, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6276,"fairsharing_record_id":851,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:54.885Z","updated_at":"2021-09-30T09:27:54.885Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6279,"fairsharing_record_id":851,"organisation_id":2370,"relation":"maintains","created_at":"2021-09-30T09:27:54.961Z","updated_at":"2021-09-30T09:27:54.961Z","grant_id":null,"is_lead":false,"saved_state":{"id":2370,"name":"Project Tycho","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6280,"fairsharing_record_id":851,"organisation_id":3115,"relation":"maintains","created_at":"2021-09-30T09:27:54.986Z","updated_at":"2021-09-30T09:27:54.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6277,"fairsharing_record_id":851,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:27:54.912Z","updated_at":"2021-09-30T09:30:41.007Z","grant_id":820,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"49276","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6278,"fairsharing_record_id":851,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:27:54.936Z","updated_at":"2021-09-30T09:32:41.273Z","grant_id":1733,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"5K01ES026836-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ3dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--382d74087fd341748b0f971eac000b6e9e8bced4/tycho.png?disposition=inline","exhaustive_licences":false}},{"id":"827","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:11:42.203Z","metadata":{"doi":"10.25504/FAIRsharing.xvf5y3","name":"Darwin Core","status":"ready","contacts":[{"contact_name":"John Wieczorek","contact_email":"tuco@berkeley.edu"}],"homepage":"http://www.tdwg.org/standards/450","citations":[{"doi":"10.1371/journal.pone.0029715","pubmed_id":22238640,"publication_id":1522}],"identifier":827,"description":"Darwin Core (DwC) is a vocabulary that includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by providing identifiers, labels, and definitions. The Darwin Core is primarily based on the observation, specimen and samples of taxa. The Darwin Core standard is comprised of one vocabulary (the Darwin Core vocabulary), and six associated documents. The vocabulary itself is composed of four term lists: Darwin Core terms borrowed from the Dublin Core legacy and terms namespace, Darwin Core IRI-value Term Analogs, and the core terms defined by Darwin Core.","abbreviation":"DwC","support_links":[{"url":"https://github.com/tdwg/dwc-qa","name":"Questions and Answers","type":"Github"},{"url":"https://github.com/tdwg/dwc/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://dwc.tdwg.org/terms/","name":"Quick Reference Guide","type":"Help documentation"},{"url":"https://github.com/tdwg/dwc","name":"GitHub Repository","type":"Github"}],"year_creation":2009},"legacy_ids":["bsg-000195","bsg-s000195"],"name":"FAIRsharing record for: Darwin Core","abbreviation":"DwC","url":"https://fairsharing.org/10.25504/FAIRsharing.xvf5y3","doi":"10.25504/FAIRsharing.xvf5y3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Darwin Core (DwC) is a vocabulary that includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by providing identifiers, labels, and definitions. The Darwin Core is primarily based on the observation, specimen and samples of taxa. The Darwin Core standard is comprised of one vocabulary (the Darwin Core vocabulary), and six associated documents. The vocabulary itself is composed of four term lists: Darwin Core terms borrowed from the Dublin Core legacy and terms namespace, Darwin Core IRI-value Term Analogs, and the core terms defined by Darwin Core.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11865},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12278},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13905}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Biological sample annotation","Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1522,"pubmed_id":22238640,"title":"Darwin Core: an evolving community-developed biodiversity data standard.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0029715","authors":"Wieczorek J,Bloom D,Guralnick R,Blum S,Doring M,Giovanni R,Robertson T,Vieglais D","journal":"PLoS One","doi":"10.1371/journal.pone.0029715","created_at":"2021-09-30T08:25:10.418Z","updated_at":"2021-09-30T08:25:10.418Z"},{"id":1995,"pubmed_id":24723785,"title":"Linking multiple biodiversity informatics platforms with Darwin Core Archives.","year":2014,"url":"http://doi.org/10.3897/BDJ.2.e1039","authors":"Baker E,Rycroft S,Smith VS","journal":"Biodivers Data J","doi":"10.3897/BDJ.2.e1039","created_at":"2021-09-30T08:26:04.575Z","updated_at":"2021-09-30T08:26:04.575Z"},{"id":3080,"pubmed_id":25099149,"title":"The GBIF integrated publishing toolkit: facilitating the efficient publishing of biodiversity data on the internet.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0102623","authors":"Robertson T,Doring M,Guralnick R,Bloom D,Wieczorek J,Braak K,Otegui J,Russell L,Desmet P","journal":"PLoS One","doi":"10.1371/journal.pone.0102623","created_at":"2021-09-30T08:28:19.468Z","updated_at":"2021-09-30T08:28:19.468Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":1041,"relation":"undefined"}],"grants":[{"id":7995,"fairsharing_record_id":827,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:18.001Z","updated_at":"2021-09-30T09:30:18.051Z","grant_id":644,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF-9808739","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8076,"fairsharing_record_id":827,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:48.171Z","updated_at":"2021-09-30T09:30:48.222Z","grant_id":878,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0345448","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6226,"fairsharing_record_id":827,"organisation_id":641,"relation":"maintains","created_at":"2021-09-30T09:27:53.277Z","updated_at":"2021-09-30T09:27:53.277Z","grant_id":null,"is_lead":true,"saved_state":{"id":641,"name":"Darwin Core Maintenance Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6224,"fairsharing_record_id":827,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:53.219Z","updated_at":"2021-09-30T09:30:14.921Z","grant_id":620,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0108161","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"828","type":"fairsharing_records","attributes":{"created_at":"2016-09-13T08:23:19.000Z","updated_at":"2022-12-27T17:27:36.576Z","metadata":{"doi":"10.25504/FAIRsharing.ae5rv","name":"Semantic reference model for making rare disease resources linkable","status":"in_development","contacts":[{"contact_name":"Marco Roos","contact_email":"m.roos@lumc.nl","contact_orcid":"0000-0002-8691-772X"}],"homepage":"https://github.com/LUMC-BioSemantics/Rare-Disease-Semantic-Model","citations":[],"identifier":828,"description":"A subset of ontology classes and properties for connecting rare disease data in the context of creating FAIR rare disease data 'at the source'. The aim is to facilitate data annotation at the source in order to enable questions and analysis across rare disease resources (e.g. biobanks, registries, molecular data). I.e. the model is not meant as a new conceptualization. Ontology files: 1. rdc-core: the minimal set of classes and properties to map to the data in the sources of the platform. RD core represents little more that the lowest level types for the identifiers of the sources of the Rare Disease Connect platform. 2. rdc-meta: the minimal semantic model, defined as much as possible using existing ontologies (OBIB, etc.). 3. rdc-meta-extended: this model includes the subclasses and properties of the entities that were imported from source ontologies, i.e. when you use the ‘move’ function of protege, rather than just copy the URI. 4. rdc-thesaurus: mappings to ‘concepts’. A SKOS-based thesaurus represents a ‘light-weight’ ontology. This allows us to define in simple terms the relations between similar or equal terms in different terminologies. 5. rdc-mapping: mapping between models, for instance between the SKOS concepts and RD-core and RD-meta. 6. rdc-example-instances: example instances (‘individuals’) to show the model at instance level. The instances, especially the IDs relate to actual data in data sources. Their datatype properties link to data.","abbreviation":null,"support_links":[{"url":"rare-disease-community@elixir-europe.org","type":"Mailing list"}],"year_creation":2016,"associated_tools":[]},"legacy_ids":["bsg-000676","bsg-s000676"],"name":"FAIRsharing record for: Semantic reference model for making rare disease resources linkable","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ae5rv","doi":"10.25504/FAIRsharing.ae5rv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A subset of ontology classes and properties for connecting rare disease data in the context of creating FAIR rare disease data 'at the source'. The aim is to facilitate data annotation at the source in order to enable questions and analysis across rare disease resources (e.g. biobanks, registries, molecular data). I.e. the model is not meant as a new conceptualization. Ontology files: 1. rdc-core: the minimal set of classes and properties to map to the data in the sources of the platform. RD core represents little more that the lowest level types for the identifiers of the sources of the Rare Disease Connect platform. 2. rdc-meta: the minimal semantic model, defined as much as possible using existing ontologies (OBIB, etc.). 3. rdc-meta-extended: this model includes the subclasses and properties of the entities that were imported from source ontologies, i.e. when you use the ‘move’ function of protege, rather than just copy the URI. 4. rdc-thesaurus: mappings to ‘concepts’. A SKOS-based thesaurus represents a ‘light-weight’ ontology. This allows us to define in simple terms the relations between similar or equal terms in different terminologies. 5. rdc-mapping: mapping between models, for instance between the SKOS concepts and RD-core and RD-meta. 6. rdc-example-instances: example instances (‘individuals’) to show the model at instance level. The instances, especially the IDs relate to actual data in data sources. Their datatype properties link to data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Rare disease","Disease","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":6228,"fairsharing_record_id":828,"organisation_id":799,"relation":"undefined","created_at":"2021-09-30T09:27:53.358Z","updated_at":"2021-09-30T09:27:53.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"undefined"}},{"id":6231,"fairsharing_record_id":828,"organisation_id":1705,"relation":"undefined","created_at":"2021-09-30T09:27:53.525Z","updated_at":"2021-09-30T09:27:53.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":6229,"fairsharing_record_id":828,"organisation_id":2406,"relation":"undefined","created_at":"2021-09-30T09:27:53.396Z","updated_at":"2021-09-30T09:27:53.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2406,"name":"RD-Connect","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":6230,"fairsharing_record_id":828,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:27:53.484Z","updated_at":"2021-09-30T09:27:53.484Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6227,"fairsharing_record_id":828,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:53.314Z","updated_at":"2021-09-30T09:29:30.489Z","grant_id":276,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8013,"fairsharing_record_id":828,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:30:23.403Z","updated_at":"2021-09-30T09:30:23.447Z","grant_id":690,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7-HEALTH 305444","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"829","type":"fairsharing_records","attributes":{"created_at":"2018-10-19T22:07:18.000Z","updated_at":"2022-02-08T10:50:51.072Z","metadata":{"doi":"10.25504/FAIRsharing.22bb25","name":"Generic Statistical Information Model Specification","status":"ready","contacts":[],"homepage":"https://statswiki.unece.org/display/gsim/GSIM+Specification","citations":[],"identifier":829,"description":"The GSIM Specification provides a set of standardized, consistently described information objects, which are the inputs and outputs in the design and production of statistics. Each information object is been defined and its attributes and relationships are specified.","abbreviation":"GSIM Specification","support_links":[{"url":"https://statswiki.unece.org/display/gsim/GSIM+documentation","name":"Documentation","type":"Help documentation"}]},"legacy_ids":["bsg-001330","bsg-s001330"],"name":"FAIRsharing record for: Generic Statistical Information Model Specification","abbreviation":"GSIM Specification","url":"https://fairsharing.org/10.25504/FAIRsharing.22bb25","doi":"10.25504/FAIRsharing.22bb25","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GSIM Specification provides a set of standardized, consistently described information objects, which are the inputs and outputs in the design and production of statistics. Each information object is been defined and its attributes and relationships are specified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Statistics"],"domains":["Resource metadata","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Statistics on classification schemes"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Atlassian Confluence Community License","licence_id":49,"licence_url":"https://www.atlassian.com/software/views/community-license-request","link_id":1118,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1117,"relation":"undefined"}],"grants":[{"id":6232,"fairsharing_record_id":829,"organisation_id":2924,"relation":"maintains","created_at":"2021-09-30T09:27:53.567Z","updated_at":"2021-09-30T09:27:53.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2924,"name":"United Nations Economic Commissions Europe","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"830","type":"fairsharing_records","attributes":{"created_at":"2019-10-11T14:31:51.000Z","updated_at":"2023-11-03T08:50:21.703Z","metadata":{"doi":"10.25504/FAIRsharing.8hDgMC","name":"ECRIN Clinical Research Metadata Schema","status":"ready","contacts":[{"contact_name":"Christian Ohmann","contact_email":"christian.ohmann@med.uni-duesseldorf.de","contact_orcid":"0000-0002-5919-1003"},{"contact_name":"Steve Canham","contact_email":"stevecanham@outlook.com","contact_orcid":null}],"homepage":"https://doi.org/10.5281/zenodo.8368709","citations":[],"identifier":830,"description":"The schema is designed to support the discoverability of data objects generated by clinical research and is an extension of the DataCite schema. It also summarises a relational database structure that could be used to store the metadata within a central repository of such data.","abbreviation":"ECRIN MDR schema","support_links":[{"url":"https://ecrin.org","name":"ECRIN","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001393","bsg-s001393"],"name":"FAIRsharing record for: ECRIN Clinical Research Metadata Schema","abbreviation":"ECRIN MDR schema","url":"https://fairsharing.org/10.25504/FAIRsharing.8hDgMC","doi":"10.25504/FAIRsharing.8hDgMC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The schema is designed to support the discoverability of data objects generated by clinical research and is an extension of the DataCite schema. It also summarises a relational database structure that could be used to store the metadata within a central repository of such data.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17332},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18281},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12550},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13322},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13572}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Clinical Studies","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","Germany","United Kingdom"],"publications":[{"id":3178,"pubmed_id":null,"title":"A metadata schema for data objects in clinical research","year":2016,"url":"http://dx.doi.org/10.1186/s13063-016-1686-5","authors":"Canham, Steve; Ohmann, Christian; ","journal":"Trials","doi":"10.1186/s13063-016-1686-5","created_at":"2022-01-06T16:30:03.053Z","updated_at":"2022-01-06T16:30:03.053Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":933,"relation":"undefined"}],"grants":[{"id":9057,"fairsharing_record_id":830,"organisation_id":911,"relation":"maintains","created_at":"2022-03-29T09:49:52.096Z","updated_at":"2022-03-29T09:49:52.096Z","grant_id":null,"is_lead":true,"saved_state":{"id":911,"name":"European Clinical Research Infrastructure Network (ECRIN)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"867","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2024-01-12T13:08:23.852Z","metadata":{"doi":"10.25504/FAIRsharing.9c1p18","name":"Dictyostelium Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Petra Fey","contact_email":"pfey@northwestern.edu","contact_orcid":"0000-0002-4532-2703"}],"homepage":"https://github.com/dictyBase/migration-data/blob/master/ontologies/dicty_phenotypes.obo","citations":[],"identifier":867,"description":"A structured controlled vocabulary of phenotypes of the social amoeba Dictyostelium discoideum. The Dicty Phenotype Ontology is a hierarchical controlled vocabulary used for annotating strains with phenotypes. Terms from the Dicty Phenotype Ontology are required when annotating phenotypes within dictyBase. The phenotype ontology consists of two composite terms: (1) the anatomical part or the biological process changed in the mutant, and (2) a quality describing that modification. For example, a ‘delayed aggregation’ phenotype qualifies the ‘aggregation’ (biological process) as being ‘delayed’, or the ‘decreased spore size’ qualifies the ‘spore’ to be of ‘decreased size’.","abbreviation":"DDPHENO","support_links":[{"url":"http://dictybase.org/db/cgi-bin/dictyBase/suggestion","name":"Suggestion and Contact Form","type":"Contact form"},{"url":"dictybase@northwestern.edu","name":"dictyBase Helpdesk","type":"Support email"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDPHENO","name":"DDPHENO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ddpheno.html","name":"ddpheno","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000936","bsg-s000936"],"name":"FAIRsharing record for: Dictyostelium Phenotype Ontology","abbreviation":"DDPHENO","url":"https://fairsharing.org/10.25504/FAIRsharing.9c1p18","doi":"10.25504/FAIRsharing.9c1p18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of phenotypes of the social amoeba Dictyostelium discoideum. The Dicty Phenotype Ontology is a hierarchical controlled vocabulary used for annotating strains with phenotypes. Terms from the Dicty Phenotype Ontology are required when annotating phenotypes within dictyBase. The phenotype ontology consists of two composite terms: (1) the anatomical part or the biological process changed in the mutant, and (2) a quality describing that modification. For example, a ‘delayed aggregation’ phenotype qualifies the ‘aggregation’ (biological process) as being ‘delayed’, or the ‘decreased spore size’ qualifies the ‘spore’ to be of ‘decreased size’.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["Dictyostelium discoideum","Dictyostelium fasciculatum","Dictyostelium purpureum","Polysphondylium pallidum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2107,"pubmed_id":23494302,"title":"One stop shop for everything Dictyostelium: dictyBase and the Dicty Stock Center in 2012.","year":2013,"url":"http://doi.org/10.1007/978-1-62703-302-2_4","authors":"Fey P,Dodson RJ,Basu S,Chisholm RL","journal":"Methods Mol Biol","doi":"10.1007/978-1-62703-302-2_4","created_at":"2021-09-30T08:26:17.466Z","updated_at":"2021-09-30T08:26:17.466Z"}],"licence_links":[],"grants":[{"id":6320,"fairsharing_record_id":867,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:27:56.436Z","updated_at":"2021-09-30T09:27:56.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6319,"fairsharing_record_id":867,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:56.348Z","updated_at":"2021-09-30T09:29:46.093Z","grant_id":393,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM64426","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"868","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:01.382Z","metadata":{"doi":"10.25504/FAIRsharing.8xecy7","name":"FuGEFlow","status":"uncertain","contacts":[{"contact_name":"Ryan R Brinkman","contact_email":"rbrinkman@bccrc.ca"}],"homepage":"http://flowcyt.sourceforge.net/fugeflow/","identifier":868,"description":"FuGEFlow represents a collaborative effort to develop of flow cytometry experimental workflow description based on the FuGE model. The Functional Genomics Experiment data model (FuGE) describes common aspects of comprehensive, high-throughput experiments. FuGE is an extendable model that provides a basis for creation of new technology-specific data formats, such as FuGEFlow for flow cytometry.","abbreviation":"FuGEFlow","support_links":[{"url":"https://sourceforge.net/p/flowcyt/discussion/","type":"Forum"},{"url":"https://sourceforge.net/p/flowcyt/mailman/","name":"Mailing list","type":"Mailing list"}],"year_creation":2007},"legacy_ids":["bsg-000074","bsg-s000074"],"name":"FAIRsharing record for: FuGEFlow","abbreviation":"FuGEFlow","url":"https://fairsharing.org/10.25504/FAIRsharing.8xecy7","doi":"10.25504/FAIRsharing.8xecy7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FuGEFlow represents a collaborative effort to develop of flow cytometry experimental workflow description based on the FuGE model. The Functional Genomics Experiment data model (FuGE) describes common aspects of comprehensive, high-throughput experiments. FuGE is an extendable model that provides a basis for creation of new technology-specific data formats, such as FuGEFlow for flow cytometry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Cell","Assay","Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":996,"pubmed_id":19531228,"title":"FuGEFlow: data model and markup language for flow cytometry.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-184","authors":"Qian Y,Tchuvatkina O,Spidlen J,Wilkinson P,Gasparetto M,Jones AR,Manion FJ,Scheuermann RH,Sekaly RP,Brinkman RR","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-184","created_at":"2021-09-30T08:24:10.246Z","updated_at":"2021-09-30T08:24:10.246Z"}],"licence_links":[],"grants":[{"id":6323,"fairsharing_record_id":868,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:56.557Z","updated_at":"2021-09-30T09:30:16.593Z","grant_id":632,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"EB005034","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6322,"fairsharing_record_id":868,"organisation_id":2778,"relation":"maintains","created_at":"2021-09-30T09:27:56.519Z","updated_at":"2021-09-30T09:27:56.519Z","grant_id":null,"is_lead":false,"saved_state":{"id":2778,"name":"The Flow Informatics and Computational Cytometry Society (FICCS)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6321,"fairsharing_record_id":868,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:56.478Z","updated_at":"2021-09-30T09:32:51.371Z","grant_id":1807,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"AI40076","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"869","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:38:34.704Z","metadata":{"doi":"10.25504/FAIRsharing.ax1gd5","name":"Outbreak Reports and Intervention studies Of Nosocomial infection","status":"deprecated","contacts":[{"contact_email":"info@idrn.org"}],"homepage":"http://www.idrn.org/orion.php","citations":[],"identifier":869,"description":"In order to raise the standards of research and publication, a CONSORT equivalent for these largely quasi-experimental studies has been prepared by the authors of two relevant systematic reviews undertaken for the HTA and the Cochrane Collaboration. The statement was revised following widespread consultation with learned societies, editors of journals and researchers. It consists of a 22 item checklist, and a summary table. Like CONSORT, ORION considers itself a work in progress, which requires ongoing dialogue for successful promotion and dissemination.","abbreviation":"ORION","support_links":[{"url":"http://www.idrn.org/contact_us/","type":"Contact form"},{"url":"http://www.idrn.org/documents/events/workshops/ORION%20statement.doc","type":"Help documentation"},{"url":"http://www.idrn.org/documents/events/workshops/Checklist.doc","type":"Help documentation"}],"year_creation":2007,"deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000103","bsg-s000103"],"name":"FAIRsharing record for: Outbreak Reports and Intervention studies Of Nosocomial infection","abbreviation":"ORION","url":"https://fairsharing.org/10.25504/FAIRsharing.ax1gd5","doi":"10.25504/FAIRsharing.ax1gd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In order to raise the standards of research and publication, a CONSORT equivalent for these largely quasi-experimental studies has been prepared by the authors of two relevant systematic reviews undertaken for the HTA and the Cochrane Collaboration. The statement was revised following widespread consultation with learned societies, editors of journals and researchers. It consists of a 22 item checklist, and a summary table. Like CONSORT, ORION considers itself a work in progress, which requires ongoing dialogue for successful promotion and dissemination.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12099}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Pathogen","Nosocomial infection","Intervention design","Hospital","Infection"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1825,"pubmed_id":17376385,"title":"The ORION statement: guidelines for transparent reporting of outbreak reports and intervention studies of nosocomial infection.","year":2007,"url":"http://doi.org/10.1016/S1473-3099(07)70082-8","authors":"Stone SP,Cooper BS,Kibbler CC,Cookson BD,Roberts JA,Medley GF,Duckworth G,Lai R,Ebrahim S,Brown EM,Wiffen PJ,Davey PG","journal":"Lancet Infect Dis","doi":"10.1016/S1473-3099(07)70082-8","created_at":"2021-09-30T08:25:44.988Z","updated_at":"2021-09-30T08:25:44.988Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"833","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:24.183Z","metadata":{"doi":"10.25504/FAIRsharing.rg2vmt","name":"GenBank Sequence Format","status":"ready","contacts":[{"contact_name":"NCBI Helpdesk","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/Sitemap/samplerecord.html","identifier":833,"description":"GenBank Sequence Format (GenBank Flat File Format) consists of an annotation section and a sequence section. The start of the annotation section is marked by a line beginning with the word \"LOCUS\". The start of sequence section is marked by a line beginning with the word \"ORIGIN\" and the end of the section is marked by a line with only \"//\".","abbreviation":null,"year_creation":2006,"associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/blast","name":"BLAST"}]},"legacy_ids":["bsg-000232","bsg-s000232"],"name":"FAIRsharing record for: GenBank Sequence Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.rg2vmt","doi":"10.25504/FAIRsharing.rg2vmt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenBank Sequence Format (GenBank Flat File Format) consists of an annotation section and a sequence section. The start of the annotation section is marked by a line beginning with the word \"LOCUS\". The start of sequence section is marked by a line beginning with the word \"ORIGIN\" and the end of the section is marked by a line with only \"//\".","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12427}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Genetics","Data Management"],"domains":["DNA sequence data","RNA sequence","Deoxyribonucleic acid","Ribosomal RNA","Ribonucleic acid","Nucleotide","Messenger RNA","Transfer RNA","Sequence tag"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":612,"relation":"undefined"}],"grants":[{"id":6238,"fairsharing_record_id":833,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:53.735Z","updated_at":"2021-09-30T09:27:53.735Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6239,"fairsharing_record_id":833,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:53.761Z","updated_at":"2021-09-30T09:27:53.761Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":6241,"fairsharing_record_id":833,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:53.824Z","updated_at":"2021-09-30T09:27:53.824Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9233,"fairsharing_record_id":833,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.171Z","updated_at":"2022-04-11T12:07:24.171Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"834","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2021-11-24T13:18:41.446Z","metadata":{"doi":"10.25504/FAIRsharing.av8nfd","name":"Open Food Safety Model Ontology","status":"ready","contacts":[{"contact_name":"Salvador","contact_email":"scuberog@hotmail.com"}],"homepage":"https://sites.google.com/site/openfsmr/","identifier":834,"description":"This is the food-matrix ontology for the Open Food Safety Model Repository. Transferring predictive microbial models from research into real world food manufacturing or risk assessment applications is still a challenge for members of the food safety modelling community. This ontology supports the repository where existing predictive models previously published in the scientific literature were re-implemented using Predictive Modelling in Food Markup Language (PMF-ML), which is based on SBML.","abbreviation":"OFSMR","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OFSMR","name":"OFSMR","portal":"BioPortal"}]},"legacy_ids":["bsg-000730","bsg-s000730"],"name":"FAIRsharing record for: Open Food Safety Model Ontology","abbreviation":"OFSMR","url":"https://fairsharing.org/10.25504/FAIRsharing.av8nfd","doi":"10.25504/FAIRsharing.av8nfd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is the food-matrix ontology for the Open Food Safety Model Repository. Transferring predictive microbial models from research into real world food manufacturing or risk assessment applications is still a challenge for members of the food safety modelling community. This ontology supports the repository where existing predictive models previously published in the scientific literature were re-implemented using Predictive Modelling in Food Markup Language (PMF-ML), which is based on SBML.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Systems Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1950,"pubmed_id":null,"title":"Towards Community Driven Food Safety Model Repositories","year":2016,"url":"http://doi.org/10.1016/j.profoo.2016.02.098","authors":"Matthias Filter, Carolina Plaza-Rodriguez, Christian Thoens, Annemarie Kaesbohrer, Bernd Appel","journal":"Procedia Food Science","doi":"10.1016/j.profoo.2016.02.098","created_at":"2021-09-30T08:25:59.448Z","updated_at":"2021-09-30T08:25:59.448Z"}],"licence_links":[],"grants":[{"id":6242,"fairsharing_record_id":834,"organisation_id":1002,"relation":"maintains","created_at":"2021-09-30T09:27:53.900Z","updated_at":"2021-09-30T09:27:53.900Z","grant_id":null,"is_lead":false,"saved_state":{"id":1002,"name":"Federal Institute for Risk Assessment, Berlin, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"835","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:09:39.000Z","updated_at":"2023-06-05T06:24:06.778Z","metadata":{"doi":"10.25504/FAIRsharing.tc2jbF","name":"Optics terminology resource","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/FMC/en/","citations":[],"identifier":835,"description":"Terminology resource used for indexing bibliographical records dealing with “Optics” in the PASCAL database, until 2014. It consists of 3177 entries in 4 languages (English, French, Spanish and German).","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001410","bsg-s001410"],"name":"FAIRsharing record for: Optics terminology resource","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tc2jbF","doi":"10.25504/FAIRsharing.tc2jbF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology resource used for indexing bibliographical records dealing with “Optics” in the PASCAL database, until 2014. It consists of 3177 entries in 4 languages (English, French, Spanish and German).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11296}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Atomic, Molecular, Optical and Plasma Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Optics"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":174,"relation":"undefined"}],"grants":[{"id":6243,"fairsharing_record_id":835,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:53.941Z","updated_at":"2021-09-30T09:27:53.941Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"836","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:23.803Z","metadata":{"doi":"10.25504/FAIRsharing.xjj977","name":"Influenza Ontology","status":"deprecated","contacts":[{"contact_name":"Burke Squires","contact_email":"burkesquires@gmail.com","contact_orcid":"0000-0001-9666-6285"}],"homepage":"http://influenzaontologywiki.igs.umaryland.edu/mediawiki/index.php/Main_Page","identifier":836,"description":"The influenza ontology is an application ontology. Consolidated influenza sequence and surveillance terms from resources such as the BioHealthBase (BHB), a Bioinformatics Resource Center (BRC) for Biodefense and Emerging and Re-emerging Infectious Diseases, the Centers for Excellence in Influenza Research and Surveillance (CEIRS).","abbreviation":"FLU","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FLU","name":"FLU","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/flu.html","name":"flu","portal":"OBO Foundry"}],"deprecation_date":"2020-03-30","deprecation_reason":"This resource has been marked as deprecated by the OBO Foundry, and its homepage was last updated in 2010."},"legacy_ids":["bsg-000094","bsg-s000094"],"name":"FAIRsharing record for: Influenza Ontology","abbreviation":"FLU","url":"https://fairsharing.org/10.25504/FAIRsharing.xjj977","doi":"10.25504/FAIRsharing.xjj977","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The influenza ontology is an application ontology. Consolidated influenza sequence and surveillance terms from resources such as the BioHealthBase (BHB), a Bioinformatics Resource Center (BRC) for Biodefense and Emerging and Re-emerging Infectious Diseases, the Centers for Excellence in Influenza Research and Surveillance (CEIRS).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Virology","Biomedical Science"],"domains":["Disease"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6246,"fairsharing_record_id":836,"organisation_id":1341,"relation":"maintains","created_at":"2021-09-30T09:27:54.056Z","updated_at":"2021-09-30T09:27:54.056Z","grant_id":null,"is_lead":false,"saved_state":{"id":1341,"name":"Influenzer Ontology Administrator","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6244,"fairsharing_record_id":836,"organisation_id":2009,"relation":"maintains","created_at":"2021-09-30T09:27:53.979Z","updated_at":"2021-09-30T09:27:53.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6245,"fairsharing_record_id":836,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:27:54.016Z","updated_at":"2021-09-30T09:27:54.016Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"837","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T12:52:39.000Z","updated_at":"2022-11-22T21:04:58.228Z","metadata":{"doi":"10.25504/FAIRsharing.nknzhj","name":"Compact Identifier Format","status":"ready","contacts":[],"homepage":"https://force11.org/post/introducing-a-new-standard-for-the-citation-of-research-data/","citations":[],"identifier":837,"description":"Compact Identifiers consist of a unique prefix indicating the assigning authority and a locally assigned accession number (prefix:accession). This provides a mechanism for uniquely identifying locally assigned identifiers globally. The Identifiers.org (https://identifiers.org) and N2T.net (https://n2t.net/) resolvers provide stable resolution of Compact Identifiers by sharing a common namespace prefix registry.","abbreviation":null,"support_links":[{"url":"https://www.ebi.ac.uk/support/identifiers.org","name":"Sarala Wimalaratne","type":"Contact form"}],"year_creation":2016,"associated_tools":[{"url":"https://n2t.net/","name":"N2T.net"}]},"legacy_ids":["bsg-001091","bsg-s001091"],"name":"FAIRsharing record for: Compact Identifier Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nknzhj","doi":"10.25504/FAIRsharing.nknzhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Compact Identifiers consist of a unique prefix indicating the assigning authority and a locally assigned accession number (prefix:accession). This provides a mechanism for uniquely identifying locally assigned identifiers globally. The Identifiers.org (https://identifiers.org) and N2T.net (https://n2t.net/) resolvers provide stable resolution of Compact Identifiers by sharing a common namespace prefix registry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":2751,"pubmed_id":29737976,"title":"Uniform resolution of compact identifiers for biomedical data.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.29","authors":"Wimalaratne SM,Juty N,Kunze J,Janee G,McMurry JA,Beard N,Jimenez R,Grethe JS,Hermjakob H,Martone ME,Clark T","journal":"Sci Data","doi":"10.1038/sdata.2018.29","created_at":"2021-09-30T08:27:38.148Z","updated_at":"2021-09-30T08:27:38.148Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":450,"relation":"undefined"}],"grants":[{"id":6247,"fairsharing_record_id":837,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:54.087Z","updated_at":"2021-09-30T09:27:54.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6248,"fairsharing_record_id":837,"organisation_id":340,"relation":"maintains","created_at":"2021-09-30T09:27:54.123Z","updated_at":"2021-09-30T09:27:54.123Z","grant_id":null,"is_lead":false,"saved_state":{"id":340,"name":"California Digital Library (CDL), University of California, Oakland, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"838","type":"fairsharing_records","attributes":{"created_at":"2018-03-10T20:13:17.000Z","updated_at":"2022-07-20T10:49:54.373Z","metadata":{"doi":"10.25504/FAIRsharing.7e9cff","name":"Yam Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_343:ROOT","citations":[],"identifier":838,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Yam Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_343","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001137","bsg-s001137"],"name":"FAIRsharing record for: Yam Ontology","abbreviation":"CO_343","url":"https://fairsharing.org/10.25504/FAIRsharing.7e9cff","doi":"10.25504/FAIRsharing.7e9cff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Yam Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Dioscorea alata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1261,"relation":"undefined"}],"grants":[{"id":6249,"fairsharing_record_id":838,"organisation_id":489,"relation":"maintains","created_at":"2021-09-30T09:27:54.154Z","updated_at":"2021-09-30T09:27:54.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":489,"name":"CGIAR Research Program on Roots, Tubers and Bananas","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6250,"fairsharing_record_id":838,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:27:54.178Z","updated_at":"2021-09-30T09:27:54.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"839","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T11:12:41.000Z","updated_at":"2022-07-20T09:07:09.004Z","metadata":{"doi":"10.25504/FAIRsharing.2cfb88","name":"ISLE Meta Data Initiative","status":"ready","contacts":[],"homepage":"https://tla.mpi.nl/imdi-metadata/","citations":[],"identifier":839,"description":"The ISLE Meta Data Initiative (IMDI) is a metadata standard to describe multi-media and multi-modal language resources. The standard provides interoperability for browsable and searchable corpus structures and resource descriptions.","abbreviation":"IMDI","support_links":[{"url":"https://tla.mpi.nl/contact/","name":"contact","type":"Contact form"},{"url":"https://tla.mpi.nl/forums/","name":"Forum","type":"Forum"}],"year_creation":2006,"associated_tools":[{"url":"https://tla.mpi.nl/tools/tla-tools/arbil/","name":"Abril"},{"url":"https://tla.mpi.nl/forums/software/lamus/","name":"LAMUS"}]},"legacy_ids":["bsg-001244","bsg-s001244"],"name":"FAIRsharing record for: ISLE Meta Data Initiative","abbreviation":"IMDI","url":"https://fairsharing.org/10.25504/FAIRsharing.2cfb88","doi":"10.25504/FAIRsharing.2cfb88","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ISLE Meta Data Initiative (IMDI) is a metadata standard to describe multi-media and multi-modal language resources. The standard provides interoperability for browsable and searchable corpus structures and resource descriptions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":6252,"fairsharing_record_id":839,"organisation_id":1789,"relation":"maintains","created_at":"2021-09-30T09:27:54.236Z","updated_at":"2021-09-30T09:27:54.236Z","grant_id":null,"is_lead":false,"saved_state":{"id":1789,"name":"Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6251,"fairsharing_record_id":839,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:27:54.202Z","updated_at":"2021-09-30T09:27:54.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"243","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:52.000Z","updated_at":"2022-07-20T12:47:31.542Z","metadata":{"doi":"10.25504/FAIRsharing.E3Nr1d","name":"FAIR Maturity Indicator Gen2-MI-I2A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I2A.md","identifier":243,"description":"The FAIR Maturity Indicator Gen2-MI-I2A measures if the (meta)data uses vocabularies that are, themselves, FAIR. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. In this loose MI, we test only if the vocabulary terms resolve (e.g. to a human-readable page). We do not test if they resolve to machine-readable information. A second Maturity Indicator (Gen2-FM-I2B) is for that stricter test.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001380","bsg-s001380"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I2A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.E3Nr1d","doi":"10.25504/FAIRsharing.E3Nr1d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I2A measures if the (meta)data uses vocabularies that are, themselves, FAIR. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. In this loose MI, we test only if the vocabulary terms resolve (e.g. to a human-readable page). We do not test if they resolve to machine-readable information. A second Maturity Indicator (Gen2-FM-I2B) is for that stricter test.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13190},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13220},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13250},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13265},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20178}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1491,"relation":"undefined"}],"grants":[{"id":5367,"fairsharing_record_id":243,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:24.841Z","updated_at":"2021-09-30T09:27:24.841Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5365,"fairsharing_record_id":243,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:24.779Z","updated_at":"2021-09-30T09:27:24.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5366,"fairsharing_record_id":243,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:24.807Z","updated_at":"2021-09-30T09:27:24.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5368,"fairsharing_record_id":243,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:24.884Z","updated_at":"2021-09-30T09:27:24.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"244","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.734Z","metadata":{"doi":"10.25504/FAIRsharing.4gm9gt","name":"Mental Functioning Ontology","status":"ready","contacts":[{"contact_name":"Janna Hastings","contact_email":"hastings@ebi.ac.uk","contact_orcid":"0000-0002-3469-4923"}],"homepage":"https://github.com/jannahastings/mental-functioning-ontology","identifier":244,"description":"The Mental Functioning Ontology is an ontology for mental functioning, including mental processes such as cognition and traits such as intelligence, and related diseases and disorders. It is developed in the context of the Ontology for General Medical Science and the Basic Formal Ontology. The project is being developed in collaboration between the University of Geneva, Switzerland, and the University at Buffalo, USA. The project is being developed with full involvement of all relevant communities, following best practices laid out by the OBO Foundry. Efforts are currently underway to align with related projects including the Behaviour Ontology, the Cognitive Atlas, the Cognitive Paradigm Ontology and the Neural Electro Magnetic Ontologies.","abbreviation":"MF","support_links":[{"url":"https://github.com/jannahastings/mental-functioning-ontology","type":"Github"},{"url":"https://pdfs.semanticscholar.org/3d94/3119ea9b3b0bba59d1c357899b27fe024721.pdf","name":"Representing mental functioning: Ontologies for mental health and disease","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MF","name":"MF","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mf.html","name":"mf","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002779","bsg-s002779"],"name":"FAIRsharing record for: Mental Functioning Ontology","abbreviation":"MF","url":"https://fairsharing.org/10.25504/FAIRsharing.4gm9gt","doi":"10.25504/FAIRsharing.4gm9gt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mental Functioning Ontology is an ontology for mental functioning, including mental processes such as cognition and traits such as intelligence, and related diseases and disorders. It is developed in the context of the Ontology for General Medical Science and the Basic Formal Ontology. The project is being developed in collaboration between the University of Geneva, Switzerland, and the University at Buffalo, USA. The project is being developed with full involvement of all relevant communities, following best practices laid out by the OBO Foundry. Efforts are currently underway to align with related projects including the Behaviour Ontology, the Cognitive Atlas, the Cognitive Paradigm Ontology and the Neural Electro Magnetic Ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cognitive Neuroscience","Biomedical Science"],"domains":["Cognition","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":5369,"fairsharing_record_id":244,"organisation_id":1819,"relation":"maintains","created_at":"2021-09-30T09:27:24.922Z","updated_at":"2021-09-30T09:27:24.922Z","grant_id":null,"is_lead":false,"saved_state":{"id":1819,"name":"Mental Functioning Ontology (MF) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"245","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:47:31.683Z","metadata":{"doi":"10.25504/FAIRsharing.fajtj3","name":"Biorefinery","status":"ready","contacts":[{"contact_name":"Patrice Buche","contact_email":"patrice.buche@supagro.inra.fr"}],"homepage":"https://www6.inrae.fr/cati-icat-atweb/Ontologies/Biorefinery","identifier":245,"description":"The Biorefinery ontology (BIOREFINERY) is dedicated to the determination of the best match treatment-biomass allowing the achievement of best constituent extraction yields with minimum environmental impact. It describes characteristics of biomass relevant for bio-refinery and unitary operations to transform biomass in glucose.","abbreviation":"BIOREFINERY","support_links":[{"url":"https://www6.inra.fr/cati-icat-atweb/Ontologies/Biorefinery","name":"INRA Biorefinery Documentation","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001100","bsg-s001100"],"name":"FAIRsharing record for: Biorefinery","abbreviation":"BIOREFINERY","url":"https://fairsharing.org/10.25504/FAIRsharing.fajtj3","doi":"10.25504/FAIRsharing.fajtj3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biorefinery ontology (BIOREFINERY) is dedicated to the determination of the best match treatment-biomass allowing the achievement of best constituent extraction yields with minimum environmental impact. It describes characteristics of biomass relevant for bio-refinery and unitary operations to transform biomass in glucose.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Agriculture","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Biomass"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1131,"relation":"undefined"}],"grants":[{"id":5370,"fairsharing_record_id":245,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:24.954Z","updated_at":"2021-09-30T09:27:24.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5371,"fairsharing_record_id":245,"organisation_id":1360,"relation":"maintains","created_at":"2021-09-30T09:27:25.000Z","updated_at":"2021-09-30T09:27:25.000Z","grant_id":null,"is_lead":false,"saved_state":{"id":1360,"name":"INRA @Web Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"246","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.815Z","metadata":{"doi":"10.25504/FAIRsharing.sszk3y","name":"Robert Hoehndorf's Version of MeSH","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"leechuck@leechuck.de","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://code.google.com/p/pharmgkb-owl/","identifier":246,"description":"A modified version of the Medical Subjects Headings Thesaurus (MeSH) 2014. This is an OWL representation of MeSH so that it can be integrated with other ontologies represented in OWL. It contains all terms that are in MeSH and in the MeSH concept tree, including the pharmacological actions (represented as subclass relations). Concepts in the MeSH concept tree are merged with MeSH term ids. Note that, while this ontology is composed of MeSH terms, it does not correspond directly to UMLS MeSH. In particular, a single term in UMLS MeSH often results in multiple classes in this ontology.","abbreviation":"RH-MeSH","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RH-MESH","name":"RH-MESH","portal":"BioPortal"}]},"legacy_ids":["bsg-002792","bsg-s002792"],"name":"FAIRsharing record for: Robert Hoehndorf's Version of MeSH","abbreviation":"RH-MeSH","url":"https://fairsharing.org/10.25504/FAIRsharing.sszk3y","doi":"10.25504/FAIRsharing.sszk3y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A modified version of the Medical Subjects Headings Thesaurus (MeSH) 2014. This is an OWL representation of MeSH so that it can be integrated with other ontologies represented in OWL. It contains all terms that are in MeSH and in the MeSH concept tree, including the pharmacological actions (represented as subclass relations). Concepts in the MeSH concept tree are merged with MeSH term ids. Note that, while this ontology is composed of MeSH terms, it does not correspond directly to UMLS MeSH. In particular, a single term in UMLS MeSH often results in multiple classes in this ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Biomedical Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":107,"relation":"undefined"}],"grants":[{"id":5372,"fairsharing_record_id":246,"organisation_id":2438,"relation":"maintains","created_at":"2021-09-30T09:27:25.042Z","updated_at":"2021-09-30T09:27:25.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":2438,"name":"RH-MeSH Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"247","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.088Z","metadata":{"doi":"10.25504/FAIRsharing.rm5xc3","name":"Gastroenterology Clinical Cases","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/3017","identifier":247,"description":"Gastroenterology Clinical Cases is an ontology to describe clinical case terminologies associated with Gastroenterology. The link for this record no longer works and there is no current information available at present.","abbreviation":"GCC","deprecation_date":"2019-06-18","deprecation_reason":"We do not have sufficient information on the status of this record."},"legacy_ids":["bsg-002791","bsg-s002791"],"name":"FAIRsharing record for: Gastroenterology Clinical Cases","abbreviation":"GCC","url":"https://fairsharing.org/10.25504/FAIRsharing.rm5xc3","doi":"10.25504/FAIRsharing.rm5xc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gastroenterology Clinical Cases is an ontology to describe clinical case terminologies associated with Gastroenterology. The link for this record no longer works and there is no current information available at present.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Gastroenterology"],"domains":["Disease","Lower digestive tract"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"249","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:37:04.407Z","metadata":{"doi":"10.25504/FAIRsharing.tb6w4b","name":"Cell Phenotype Ontology","status":"uncertain","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"rh497@cam.ac.uk","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://code.google.com/archive/p/cell-phenotype/","identifier":249,"description":"The CPO is an ontology of morphological and physiological phenotypic characteristics of cells, cell components and cellular processes. Its prime application is to provide terms and uniform definition patterns for the annotation of cellular phenotypes. The CPO can be used for the annotation of observed abnormalities in domains, such as systems microscopy, in which cellular abnormalities are observed and for which no phenotype ontology has been created.","abbreviation":"CPO","year_creation":2011},"legacy_ids":["bsg-002793","bsg-s002793"],"name":"FAIRsharing record for: Cell Phenotype Ontology","abbreviation":"CPO","url":"https://fairsharing.org/10.25504/FAIRsharing.tb6w4b","doi":"10.25504/FAIRsharing.tb6w4b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CPO is an ontology of morphological and physiological phenotypic characteristics of cells, cell components and cellular processes. Its prime application is to provide terms and uniform definition patterns for the annotation of cellular phenotypes. The CPO can be used for the annotation of observed abnormalities in domains, such as systems microscopy, in which cellular abnormalities are observed and for which no phenotype ontology has been created.","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11283}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell","Cell morphology","Phenotype","Morphology"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","United Kingdom","European Union"],"publications":[{"id":1276,"pubmed_id":22539675,"title":"Semantic integration of physiology phenotypes with an application to the Cellular Phenotype Ontology.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts250","authors":"Hoehndorf R,Harris MA,Herre H,Rustici G,Gkoutos GV","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts250","created_at":"2021-09-30T08:24:42.441Z","updated_at":"2021-09-30T08:24:42.441Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1837,"relation":"undefined"}],"grants":[{"id":5374,"fairsharing_record_id":249,"organisation_id":400,"relation":"maintains","created_at":"2021-09-30T09:27:25.122Z","updated_at":"2021-09-30T09:27:25.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":400,"name":"Cell Phenotype Ontology (CPO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"250","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.376Z","metadata":{"doi":"10.25504/FAIRsharing.9mfexc","name":"Minimum Information About a Genotyping Experiment","status":"ready","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"richard.scheuermann@utsouthwestern.edu","contact_orcid":"0000-0003-1355-892X"}],"homepage":"http://migen.sourceforge.net/","identifier":250,"description":"MIGen recommends the standard information required to report a genotyping experiment, covering: study and experiment design, subject information, sample collection and processing, genotyping procedure, and data analysis methods, if applicable.","abbreviation":"MIGen","support_links":[{"url":"jie.huang@utsouthwestern.edu","type":"Support email"},{"url":"http://migen.sourceforge.net/MIGenDownloads/MIGen%20Draft_V1_May2011.pdf","type":"Help documentation"},{"url":"http://mibbi.sourceforge.net/projects/MIGen.shtml","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000173","bsg-s000173"],"name":"FAIRsharing record for: Minimum Information About a Genotyping Experiment","abbreviation":"MIGen","url":"https://fairsharing.org/10.25504/FAIRsharing.9mfexc","doi":"10.25504/FAIRsharing.9mfexc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIGen recommends the standard information required to report a genotyping experiment, covering: study and experiment design, subject information, sample collection and processing, genotyping procedure, and data analysis methods, if applicable.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11154},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11580}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Genotyping","Deoxyribonucleic acid","Genome-wide association study","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1680,"pubmed_id":22180825,"title":"Minimum Information about a Genotyping Experiment (MIGEN).","year":2011,"url":"http://doi.org/10.4056/sigs.1994602","authors":"Huang J,Mirel D,Pugh E,Xing C,Robinson PN,Pertsemlidis A,Ding L,Kozlitina J,Maher J,Rios J,Story M,Marthandan N,Scheuermann RH","journal":"Stand Genomic Sci","doi":"10.4056/sigs.1994602","created_at":"2021-09-30T08:25:28.196Z","updated_at":"2021-09-30T08:25:28.196Z"}],"licence_links":[],"grants":[{"id":5375,"fairsharing_record_id":250,"organisation_id":1847,"relation":"maintains","created_at":"2021-09-30T09:27:25.154Z","updated_at":"2021-09-30T09:27:25.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":1847,"name":"Minimum Information about a Genotyping Experiment (MIGen) Working Group, Dallas, TX, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"251","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-05T13:51:33.397Z","metadata":{"doi":"10.25504/FAIRsharing.s7ryc2","name":"Ontology for Data Mining Investigations","status":"deprecated","contacts":[{"contact_name":"Pance Panov","contact_email":"Pance.Panov@ijs.si"}],"homepage":"http://www.ontodm.com/doku.php?id=ontodm-kdd","citations":[],"identifier":251,"description":"OntoDM-KDD is an ontology for representing data mining investigations. Its goal is to allow the representation of knowledge discovery processes and be general enough to represent the data mining investigations. The ontology is based on the CRISP-DM process methodology.","abbreviation":"OntoDM-KDD","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTODM-KDD","name":"ONTODM-KDD","portal":"BioPortal"}],"deprecation_date":"2023-04-05","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002817","bsg-s002817"],"name":"FAIRsharing record for: Ontology for Data Mining Investigations","abbreviation":"OntoDM-KDD","url":"https://fairsharing.org/10.25504/FAIRsharing.s7ryc2","doi":"10.25504/FAIRsharing.s7ryc2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoDM-KDD is an ontology for representing data mining investigations. Its goal is to allow the representation of knowledge discovery processes and be general enough to represent the data mining investigations. The ontology is based on the CRISP-DM process methodology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Slovenia","United Kingdom"],"publications":[{"id":1786,"pubmed_id":null,"title":"OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process","year":2013,"url":"http://doi.org/10.1007/978-3-642-40897-7_9","authors":"Panče PanovAffiliated with Jožef Stefan Institute , Larisa Soldatova, Sašo Džeroski","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-642-40897-7_9","created_at":"2021-09-30T08:25:40.430Z","updated_at":"2021-09-30T11:28:33.402Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"239","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2024-01-25T15:35:12.722Z","metadata":{"doi":"10.25504/FAIRsharing.a557he","name":"Ontology of Cardiovascular Drug Adverse Events","status":"deprecated","contacts":[{"contact_name":"Liwei Wang","contact_email":"wang.liwei@mayo.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/OCVDAE","citations":[],"identifier":239,"description":"With increased usage of cardiovascular drugs (CVDs) for treating cardiovascular diseases, it is important to analyze CVD-associated adverse events (AEs). The Ontology of Cardiovascular Drug Adverse Events (OCVDAE) is an ontology of adverse events associated with cardiovascular disease drugs. It extends the Ontology of Adverse Events (OAE) and NDF-RT. OCVDAE includes 194 CVDs, CVD ingredients, mechanisms of actions (MoAs), and CVD-associated 736 AEs.","abbreviation":"OCVDAE","support_links":[{"url":"yongqunh@med.umich.edu","name":"Yongqun Oliver He","type":"Support email"},{"url":"https://github.com/OCVDAE/OCVDAE","name":"GitHub Repository","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCVDAE","name":"OCVDAE","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This resource has not been updated since 2016, and it is no longer listed on the website of the maintaining He Group, therefore it has been deprecated. Please get in touch with us if you have any questions."},"legacy_ids":["bsg-001081","bsg-s001081"],"name":"FAIRsharing record for: Ontology of Cardiovascular Drug Adverse Events","abbreviation":"OCVDAE","url":"https://fairsharing.org/10.25504/FAIRsharing.a557he","doi":"10.25504/FAIRsharing.a557he","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: With increased usage of cardiovascular drugs (CVDs) for treating cardiovascular diseases, it is important to analyze CVD-associated adverse events (AEs). The Ontology of Cardiovascular Drug Adverse Events (OCVDAE) is an ontology of adverse events associated with cardiovascular disease drugs. It extends the Ontology of Adverse Events (OAE) and NDF-RT. OCVDAE includes 194 CVDs, CVD ingredients, mechanisms of actions (MoAs), and CVD-associated 736 AEs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Adverse Reaction","Cardiovascular disease","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China","United States"],"publications":[{"id":2289,"pubmed_id":29061976,"title":"Ontology-based systematical representation and drug class effect analysis of package insert-reported adverse events associated with cardiovascular drugs used in China.","year":2017,"url":"http://doi.org/10.1038/s41598-017-12580-4","authors":"Wang L,Li M,Xie J,Cao Y,Liu H,He Y","journal":"Sci Rep","doi":"10.1038/s41598-017-12580-4","created_at":"2021-09-30T08:26:39.073Z","updated_at":"2021-09-30T08:26:39.073Z"}],"licence_links":[],"grants":[{"id":5347,"fairsharing_record_id":239,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:24.057Z","updated_at":"2024-01-25T12:58:55.431Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5348,"fairsharing_record_id":239,"organisation_id":724,"relation":"maintains","created_at":"2021-09-30T09:27:24.100Z","updated_at":"2021-09-30T09:27:24.100Z","grant_id":null,"is_lead":false,"saved_state":{"id":724,"name":"Department of Medical Informatics, School of Public Health, Jilin University, Changchun, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5349,"fairsharing_record_id":239,"organisation_id":1227,"relation":"maintains","created_at":"2021-09-30T09:27:24.141Z","updated_at":"2021-09-30T09:27:24.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1227,"name":"Hebei Medical University, Shijiazhuang, Hebei Province, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5350,"fairsharing_record_id":239,"organisation_id":716,"relation":"maintains","created_at":"2021-09-30T09:27:24.182Z","updated_at":"2021-09-30T09:27:24.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":716,"name":"Department of Health Sciences Research, Mayo Clinic, Rochester, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"240","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:55:06.497Z","metadata":{"doi":"10.25504/FAIRsharing.as08v3","name":"CareLex Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Jennifer Alpert Palchak","contact_email":"admin@carelex.org"}],"homepage":"http://www.carelex.org/","identifier":240,"description":"Contains controlled vocabulary terms from National Cancer Institute used to classify clinical trial electronic content (documents, images, etc). A Content model contains content classification categories (classes) and metadata properties (data properties). Data properties should be assigned to each Content Type. This model has been published as part of the new OASIS eTMF Standard, a draft specification available at: http://oasis-open.org/committees/etmf. CareLex is a non-profit organization formed to promote eClinical application and content interoperability for the life sciences and healthcare industries.","abbreviation":"CareLex CV","support_links":[{"url":"http://carelex.org/blog/","type":"Blog/News"},{"url":"http://carelex.org/contact/","type":"Contact form"},{"url":"http://carelex.org/faq/","name":"CareLex FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://carelex.org/how-to-use-carelex/","name":"How To Use CareLex","type":"Help documentation"},{"url":"http://carelex.org/training/","type":"Training documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CARELEX","name":"CARELEX","portal":"BioPortal"}]},"legacy_ids":["bsg-002784","bsg-s002784"],"name":"FAIRsharing record for: CareLex Controlled Vocabulary","abbreviation":"CareLex CV","url":"https://fairsharing.org/10.25504/FAIRsharing.as08v3","doi":"10.25504/FAIRsharing.as08v3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Contains controlled vocabulary terms from National Cancer Institute used to classify clinical trial electronic content (documents, images, etc). A Content model contains content classification categories (classes) and metadata properties (data properties). Data properties should be assigned to each Content Type. This model has been published as part of the new OASIS eTMF Standard, a draft specification available at: http://oasis-open.org/committees/etmf. CareLex is a non-profit organization formed to promote eClinical application and content interoperability for the life sciences and healthcare industries.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12469}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Cancer","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5351,"fairsharing_record_id":240,"organisation_id":607,"relation":"maintains","created_at":"2021-09-30T09:27:24.222Z","updated_at":"2021-09-30T09:27:24.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":607,"name":"Content Archive Resource Exchange Lexicon (CareLex) Administrators","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"241","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T09:41:07.289Z","metadata":{"doi":"10.25504/FAIRsharing.11889","name":"mz peptide and protein Identification Markup Language","status":"ready","contacts":[{"contact_name":"Andy Jones","contact_email":"Andrew.Jones@liverpool.ac.uk"}],"homepage":"http://www.psidev.info/mzidentml","citations":[],"identifier":241,"description":"A large number of different proteomics search engines are available that produce output in a variety of different formats. It is intended that mzIdentML will provide a common format for the export of identification results from any search engine. The format was originally developed under the name AnalysisXML as a format for several types of computational analyses performed over mass spectra in the proteomics context. It has been decided to split development into two formats: mzIdentML for peptide and protein identification, and mzQuantML, covering quantitative proteomic data derived from MS.","abbreviation":"mzIdentML","support_links":[{"url":"https://www.psidev.info/mzidentml","name":"PSI mzIdentML Homepage","type":"Help documentation"},{"url":"psi-dev@listserv.sourceforge.net","type":"Mailing list"},{"url":"https://github.com/HUPO-PSI/mzIdentML","name":"mzIdentML on GitHub","type":"Github"},{"url":"https://lists.sourceforge.net/lists/listinfo/psidev-pi-dev","name":"mzIdentML Development Discussion List","type":"Contact form"}],"year_creation":2009,"associated_tools":[{"url":"https://www.psidev.info/tools-implementing-mzidentml","name":"Tools implementing mzIdentML"}]},"legacy_ids":["bsg-000002","bsg-s000002"],"name":"FAIRsharing record for: mz peptide and protein Identification Markup Language","abbreviation":"mzIdentML","url":"https://fairsharing.org/10.25504/FAIRsharing.11889","doi":"10.25504/FAIRsharing.11889","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A large number of different proteomics search engines are available that produce output in a variety of different formats. It is intended that mzIdentML will provide a common format for the export of identification results from any search engine. The format was originally developed under the name AnalysisXML as a format for several types of computational analyses performed over mass spectra in the proteomics context. It has been decided to split development into two formats: mzIdentML for peptide and protein identification, and mzQuantML, covering quantitative proteomic data derived from MS.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11422},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11915}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Peptide identification","Protein identification","Omics data analysis","Centrally registered identifier","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1529,"pubmed_id":21063947,"title":"mzIdentML: an open community-built standard format for the results of proteomics spectrum identification algorithms.","year":2010,"url":"http://doi.org/10.1007/978-1-60761-987-1_10","authors":"Eisenacher M.","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-60761-987-1_10","created_at":"2021-09-30T08:25:11.151Z","updated_at":"2021-09-30T08:25:11.151Z"},{"id":4029,"pubmed_id":28515314,"title":"The mzIdentML Data Standard Version 1.2, Supporting Advances in Proteome Informatics","year":2017,"url":"http://dx.doi.org/10.1074/mcp.m117.068429","authors":"Vizcaíno, Juan Antonio; Mayer, Gerhard; Perkins, Simon; Barsnes, Harald; Vaudel, Marc; Perez-Riverol, Yasset; Ternent, Tobias; Uszkoreit, Julian; Eisenacher, Martin; Fischer, Lutz; Rappsilber, Juri; Netz, Eugen; Walzer, Mathias; Kohlbacher, Oliver; Leitner, Alexander; Chalkley, Robert J.; Ghali, Fawaz; Martínez-Bartolomé, Salvador; Deutsch, Eric W.; Jones, Andrew R.; ","journal":"Molecular \u0026amp; Cellular Proteomics","doi":"10.1074/mcp.m117.068429","created_at":"2023-10-23T14:28:02.915Z","updated_at":"2023-10-23T14:28:02.915Z"},{"id":4030,"pubmed_id":22375074,"title":"The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results","year":2012,"url":"https://doi.org/10.1074/mcp.m111.014381","authors":"Jones AR, Eisenacher M, Mayer G, Kohlbacher O, Siepen J, Hubbard SJ, Selley JN, Searle BC, Shofstahl J, Seymour SL, Julian R, Binz PA, Deutsch EW, Hermjakob H, Reisinger F, Griss J, Vizcaíno JA, Chambers M, Pizarro A, Creasy D","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.m111.014381","created_at":"2023-10-23T14:31:51.857Z","updated_at":"2023-10-23T14:31:51.857Z"}],"licence_links":[],"grants":[{"id":5352,"fairsharing_record_id":241,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:24.258Z","updated_at":"2021-09-30T09:27:24.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"242","type":"fairsharing_records","attributes":{"created_at":"2019-05-03T19:07:26.000Z","updated_at":"2022-07-20T12:46:20.038Z","metadata":{"doi":"10.25504/FAIRsharing.p9EyGm","name":"Minimum Information for Reusable Arthropod Abundance Data","status":"ready","contacts":[{"contact_name":"Samuel Rund","contact_email":"srund@nd.edu","contact_orcid":"0000-0002-1701-7787"}],"homepage":"https://www.nature.com/articles/s41597-019-0042-5","citations":[{"doi":"10.1038/s41597-019-0042-5","pubmed_id":31024009,"publication_id":2448}],"identifier":242,"description":"The Minimum Information for Reusable Arthropod Abundance Data (MIReAD) is a minimum information standard for reporting arthropod abundance data through time. Developed with broad stakeholder collaboration, it balances sufficiency for reuse with the practicality of preparing the data for submission. It is designed to optimize data (re)usability from the “FAIR,” (Findable, Accessible, Interoperable, and Reusable) principles of public data archiving (PDA). This standard aims to facilitate data unification across research initiatives and communities dedicated to surveillance for detection and control of vector-borne diseases and pests.","abbreviation":"MIReAD","year_creation":2019},"legacy_ids":["bsg-001367","bsg-s001367"],"name":"FAIRsharing record for: Minimum Information for Reusable Arthropod Abundance Data","abbreviation":"MIReAD","url":"https://fairsharing.org/10.25504/FAIRsharing.p9EyGm","doi":"10.25504/FAIRsharing.p9EyGm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information for Reusable Arthropod Abundance Data (MIReAD) is a minimum information standard for reporting arthropod abundance data through time. Developed with broad stakeholder collaboration, it balances sufficiency for reuse with the practicality of preparing the data for submission. It is designed to optimize data (re)usability from the “FAIR,” (Findable, Accessible, Interoperable, and Reusable) principles of public data archiving (PDA). This standard aims to facilitate data unification across research initiatives and communities dedicated to surveillance for detection and control of vector-borne diseases and pests.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12544}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Agroecology","Population Dynamics","Biodiversity","Agriculture"],"domains":["FAIR"],"taxonomies":["Arthropoda"],"user_defined_tags":[],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":2448,"pubmed_id":31024009,"title":"MIReAD, a minimum information standard for reporting arthropod abundance data.","year":2019,"url":"http://doi.org/10.1038/s41597-019-0042-5","authors":"Rund SSC,Braak K,Cator L,Copas K,Emrich SJ,Giraldo-Calderon GI,Johansson MA,Heydari N,Hobern D,Kelly SA,Lawson D,Lord C,MacCallum RM,Roche DG,Ryan SJ,Schigel D,Vandegrift K,Watts M,Zaspel JM,Pawar S","journal":"Sci Data","doi":"10.1038/s41597-019-0042-5","created_at":"2021-09-30T08:27:00.243Z","updated_at":"2021-09-30T08:27:00.243Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1128,"relation":"undefined"}],"grants":[{"id":5353,"fairsharing_record_id":242,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:24.300Z","updated_at":"2021-09-30T09:27:24.300Z","grant_id":null,"is_lead":true,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5358,"fairsharing_record_id":242,"organisation_id":557,"relation":"maintains","created_at":"2021-09-30T09:27:24.491Z","updated_at":"2021-09-30T09:27:24.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":557,"name":"College of Life Sciences, University of Kwa-Zulu Natal, Durban, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5361,"fairsharing_record_id":242,"organisation_id":1320,"relation":"maintains","created_at":"2021-09-30T09:27:24.651Z","updated_at":"2021-09-30T09:27:24.651Z","grant_id":null,"is_lead":false,"saved_state":{"id":1320,"name":"Imperial College London, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5364,"fairsharing_record_id":242,"organisation_id":3137,"relation":"maintains","created_at":"2021-09-30T09:27:24.748Z","updated_at":"2021-09-30T09:27:24.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":3137,"name":"University of Tennessee, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5354,"fairsharing_record_id":242,"organisation_id":3055,"relation":"maintains","created_at":"2021-09-30T09:27:24.337Z","updated_at":"2021-09-30T09:27:24.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5355,"fairsharing_record_id":242,"organisation_id":421,"relation":"maintains","created_at":"2021-09-30T09:27:24.371Z","updated_at":"2021-09-30T09:27:24.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":421,"name":"Center for Global Health and Translational Science, State University of New York Upstate Medical University, Syracuse, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5356,"fairsharing_record_id":242,"organisation_id":1021,"relation":"maintains","created_at":"2021-09-30T09:27:24.408Z","updated_at":"2021-09-30T09:27:24.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":1021,"name":"Florida Medical Entomology Lab, University of Florida-IFAS, Vero Beach, FL, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5357,"fairsharing_record_id":242,"organisation_id":1404,"relation":"maintains","created_at":"2021-09-30T09:27:24.450Z","updated_at":"2021-09-30T09:27:24.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":1404,"name":"Institute of Biology, University of Neuchatel, Neuchatel, Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5359,"fairsharing_record_id":242,"organisation_id":423,"relation":"maintains","created_at":"2021-09-30T09:27:24.529Z","updated_at":"2021-09-30T09:27:24.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":423,"name":"Center for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, University Park, PA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5360,"fairsharing_record_id":242,"organisation_id":745,"relation":"maintains","created_at":"2021-09-30T09:27:24.563Z","updated_at":"2021-09-30T09:27:24.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":745,"name":"Department of Zoology, Milwaukee Public Museum, Milwaukee, WI, USA","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5362,"fairsharing_record_id":242,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:27:24.688Z","updated_at":"2021-09-30T09:27:24.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5363,"fairsharing_record_id":242,"organisation_id":442,"relation":"maintains","created_at":"2021-09-30T09:27:24.720Z","updated_at":"2021-09-30T09:27:24.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":442,"name":"Centers for Disease Control and Prevention, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"206","type":"fairsharing_records","attributes":{"created_at":"2016-08-19T10:53:26.000Z","updated_at":"2024-04-04T10:15:48.304Z","metadata":{"doi":"10.25504/FAIRsharing.fztr98","name":"FAANG metadata experiment specification standard","status":"ready","contacts":[{"contact_name":"Alexey Sokolov","contact_email":"alexey@ebi.ac.uk","contact_orcid":"0000-0002-3387-0649"}],"homepage":"https://github.com/FAANG/faang-metadata/blob/master/docs/faang_experiment_metadata.md","citations":[],"identifier":206,"description":"The FAANG metadata experiment specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG experiments are well described and that the description is well structured. We support the MIAME and MINSEQE guidelines, and aim to convert them to a concrete specification. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","abbreviation":null,"support_links":[{"url":"faang@iastate.edu","name":"General Contact","type":"Support email"},{"url":"faang-dcc@ebi.ac.uk","name":"DCC General Contact","type":"Support email"}],"year_creation":2016,"associated_tools":[{"url":"http://www.ebi.ac.uk/vg/faang","name":"FAANG metadata validation tool"}]},"legacy_ids":["bsg-000673","bsg-s000673"],"name":"FAIRsharing record for: FAANG metadata experiment specification standard","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fztr98","doi":"10.25504/FAIRsharing.fztr98","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAANG metadata experiment specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG experiments are well described and that the description is well structured. We support the MIAME and MINSEQE guidelines, and aim to convert them to a concrete specification. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Experimental measurement","Biological sample annotation","Biological sample","Sample preparation for assay","Protocol","Study design","Experimentally determined","Genome-wide association study"],"taxonomies":["Bos taurus","Bubalus bubalis","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":["Experimental condition"],"countries":["United Kingdom","United States","European Union"],"publications":[],"licence_links":[{"licence_name":"FAANG Apache License","licence_id":308,"licence_url":"https://github.com/FAANG/validate-metadata/blob/master/LICENSE","link_id":2224,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":2223,"relation":"undefined"}],"grants":[{"id":5275,"fairsharing_record_id":206,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:21.281Z","updated_at":"2021-09-30T09:27:21.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5277,"fairsharing_record_id":206,"organisation_id":1069,"relation":"maintains","created_at":"2021-09-30T09:27:21.331Z","updated_at":"2021-09-30T09:27:21.331Z","grant_id":null,"is_lead":true,"saved_state":{"id":1069,"name":"Functional Annotation of Animal Genomes (FAANG) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9229,"fairsharing_record_id":206,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.957Z","updated_at":"2022-04-11T12:07:23.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"207","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T22:45:43.000Z","updated_at":"2021-11-24T13:13:50.915Z","metadata":{"doi":"10.25504/FAIRsharing.4163ac","name":"Good Epidemiological Practice","status":"ready","contacts":[{"contact_name":"Neeltje van den Berg","contact_email":"neeltje.vandenberg@uni.greifswald.de"}],"homepage":"https://www.dgepi.de/assets/Good-Epidemiological-Practice-GEP-EurJ-Epidemiol-2019.pdf","citations":[{"doi":"https://doi.org/10.1007/s10654-019-00500-x","publication_id":2893}],"identifier":207,"description":"The GEP are addressed to everyone involved in the planning, preparation, execution, analysis, and evaluation of epidemiological research, as well as research institutes, and funding bodies. The GEP adopts international best practices for epidemiological research.","abbreviation":"GEP","year_creation":1999},"legacy_ids":["bsg-001464","bsg-s001464"],"name":"FAIRsharing record for: Good Epidemiological Practice","abbreviation":"GEP","url":"https://fairsharing.org/10.25504/FAIRsharing.4163ac","doi":"10.25504/FAIRsharing.4163ac","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GEP are addressed to everyone involved in the planning, preparation, execution, analysis, and evaluation of epidemiological research, as well as research institutes, and funding bodies. The GEP adopts international best practices for epidemiological research.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12237},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12553}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Epidemiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2893,"pubmed_id":null,"title":"Guidelines and recommendations for ensuring Good Epidemiological Practice (GEP): a guideline developed by the German Society for Epidemiology.","year":2019,"url":"https://doi.org/10.1007/s10654-019-00500-x","authors":"Hoffmann, W., Latza, U., Baumeister, S.E. et al.","journal":"Eur J Epidemiol.","doi":"https://doi.org/10.1007/s10654-019-00500-x","created_at":"2021-09-30T08:27:56.208Z","updated_at":"2021-09-30T08:27:56.208Z"}],"licence_links":[],"grants":[{"id":5280,"fairsharing_record_id":207,"organisation_id":1145,"relation":"maintains","created_at":"2021-09-30T09:27:21.415Z","updated_at":"2021-09-30T09:27:21.415Z","grant_id":null,"is_lead":true,"saved_state":{"id":1145,"name":"German Society for Epidemiology (DGEpi)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5278,"fairsharing_record_id":207,"organisation_id":1146,"relation":"maintains","created_at":"2021-09-30T09:27:21.362Z","updated_at":"2021-09-30T09:27:21.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":1146,"name":"German Society of Social Medicine and Prevention (DGSMP)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5279,"fairsharing_record_id":207,"organisation_id":1143,"relation":"maintains","created_at":"2021-09-30T09:27:21.391Z","updated_at":"2021-09-30T09:27:21.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":1143,"name":"German Region of the International Biometric Society (IBS-DR)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5281,"fairsharing_record_id":207,"organisation_id":1132,"relation":"maintains","created_at":"2021-09-30T09:27:21.445Z","updated_at":"2021-09-30T09:27:21.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1132,"name":"German Association for Medical Informatics, Biometry and Epidemiology (GMDS)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"208","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T11:38:27.000Z","updated_at":"2023-02-24T14:56:53.171Z","metadata":{"name":"Towards an International Data Commons for Crystallography Metadata Application Profile","status":"deprecated","contacts":[],"homepage":"http://wiki.ecrystals.chem.soton.ac.uk/index.php/Work_Package_4:_Repositories,_Preservation_and_Sustainability","citations":[],"identifier":208,"description":"TIDCC TMAP was a first attempt at constructing an over-arching AP for crystallography data which would facilitate the exchange of not only metadata, but also the data itself. However, following several meetings is has become apparent that a more effective way forward is to adapt the ICAT data model (a simpler version of the CSMD) and schema to cater for curatorial and preservation activities since ICAT is presently being used by a growing proportion of the science community for managing their data. In future this record may be deprecated in favor of ICAT.","abbreviation":"TIDCC TMAP","support_links":[{"url":"http://wiki.ecrystals.chem.soton.ac.uk/images/9/9d/ECrystals-WP4-PM-Final.pdf","name":"Preservation Metadata for Crystallography Data (Contains Spec)","type":"Help documentation"}],"year_creation":2009,"deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-001312","bsg-s001312"],"name":"FAIRsharing record for: Towards an International Data Commons for Crystallography Metadata Application Profile","abbreviation":"TIDCC TMAP","url":"https://fairsharing.org/fairsharing_records/208","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TIDCC TMAP was a first attempt at constructing an over-arching AP for crystallography data which would facilitate the exchange of not only metadata, but also the data itself. However, following several meetings is has become apparent that a more effective way forward is to adapt the ICAT data model (a simpler version of the CSMD) and schema to cater for curatorial and preservation activities since ICAT is presently being used by a growing proportion of the science community for managing their data. In future this record may be deprecated in favor of ICAT.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Chemistry","Materials Science"],"domains":["X-ray crystallography assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic (CC BY-NC-SA 2.5)","licence_id":181,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.5/","link_id":673,"relation":"undefined"}],"grants":[{"id":8997,"fairsharing_record_id":208,"organisation_id":3439,"relation":"associated_with","created_at":"2022-03-14T19:14:15.160Z","updated_at":"2022-03-14T19:14:15.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":3439,"name":"US National Institutes of Health Human BioMolecular Atlas Program (HuBMAP)","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8998,"fairsharing_record_id":208,"organisation_id":1954,"relation":"associated_with","created_at":"2022-03-14T19:14:15.195Z","updated_at":"2022-03-14T19:14:15.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8996,"fairsharing_record_id":208,"organisation_id":3438,"relation":"funds","created_at":"2022-03-14T19:14:14.771Z","updated_at":"2022-03-14T19:14:14.771Z","grant_id":1836,"is_lead":false,"saved_state":{"id":3438,"name":"US National Cancer Institute under the Human Tumor Atlas Network (HTAN)","grant":"HTAN Consortium and the Cancer Systems Biology Consortium (CSBC)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"209","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:01:57.647Z","metadata":{"doi":"10.25504/FAIRsharing.8tnnrs","name":"Vaccination Informed Consent Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/VICO-ontology/VICO","identifier":209,"description":"The Vaccination Informed Consent Ontology (VICO) is a community-driven ontology in the domain of vaccination/immunization informed consent. It extends the Informed Consent Ontology and integrates related OBO foundry ontologies, such as the Vaccine Ontology, with a focus on vaccination screening questionnaires in the vaccination informed consent domain. VICO could support a platform for vaccination informed consent data standardization, data integration, and data queries.","abbreviation":"VICO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VICO","name":"VICO","portal":"BioPortal"}]},"legacy_ids":["bsg-000956","bsg-s000956"],"name":"FAIRsharing record for: Vaccination Informed Consent Ontology","abbreviation":"VICO","url":"https://fairsharing.org/10.25504/FAIRsharing.8tnnrs","doi":"10.25504/FAIRsharing.8tnnrs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vaccination Informed Consent Ontology (VICO) is a community-driven ontology in the domain of vaccination/immunization informed consent. It extends the Informed Consent Ontology and integrates related OBO foundry ontologies, such as the Vaccine Ontology, with a focus on vaccination screening questionnaires in the vaccination informed consent domain. VICO could support a platform for vaccination informed consent data standardization, data integration, and data queries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Vaccine","Vaccination"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":250,"pubmed_id":27099700,"title":"VICO: Ontology-based representation and integrative analysis of Vaccination Informed Consent forms.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0062-4","authors":"Lin Y,Zheng J,He Y","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0062-4","created_at":"2021-09-30T08:22:47.006Z","updated_at":"2021-09-30T08:22:47.006Z"}],"licence_links":[],"grants":[{"id":5283,"fairsharing_record_id":209,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:21.526Z","updated_at":"2021-09-30T09:27:21.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"210","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:25:43.747Z","metadata":{"doi":"10.25504/FAIRsharing.cyv30a","name":"Terminological and Ontological Knowledge Resources Ontology","status":"ready","contacts":[{"contact_name":"Nizar Ghoula","contact_email":"Nizar.Ghoula@unige.ch"}],"homepage":"http://bioportal.bioontology.org/ontologies/TOK","identifier":210,"description":"An Ontology describing resources with different formats. This Ontology can be used to annotate and describe terminological / ontological knowledge resources.","abbreviation":"TOK","support_links":[{"url":"http://cui.unige.ch/isi/onto/tok/OWL_Doc/","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TOK","name":"TOK","portal":"BioPortal"}]},"legacy_ids":["bsg-002645","bsg-s002645"],"name":"FAIRsharing record for: Terminological and Ontological Knowledge Resources Ontology","abbreviation":"TOK","url":"https://fairsharing.org/10.25504/FAIRsharing.cyv30a","doi":"10.25504/FAIRsharing.cyv30a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An Ontology describing resources with different formats. This Ontology can be used to annotate and describe terminological / ontological knowledge resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Taxonomic classification"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2358,"pubmed_id":null,"title":"TOK: A meta-model and ontology for heterogenous terminological, linguistic and ontological knowledge resources","year":2010,"url":"https://ieeexplore.ieee.org/document/5616566","authors":"Nizar Ghoula, Gilles Falquet and Jacques Guyot","journal":"IEEE","doi":null,"created_at":"2021-09-30T08:26:49.861Z","updated_at":"2021-09-30T08:26:49.861Z"}],"licence_links":[],"grants":[{"id":5284,"fairsharing_record_id":210,"organisation_id":2863,"relation":"maintains","created_at":"2021-09-30T09:27:21.559Z","updated_at":"2021-09-30T09:27:21.559Z","grant_id":null,"is_lead":false,"saved_state":{"id":2863,"name":"TOK Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"211","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:11:56.907Z","metadata":{"doi":"10.25504/FAIRsharing.xs4ge6","name":"Brucellosis Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.phidias.us/bbp/idobru/index.php","identifier":211,"description":"The Brucellosis Ontology is an extension of the Infectious Disease Ontology. It is a biomedical ontology describing the zoonotic disease brucellosis that is caused by Brucella, a facultative intracellular bacterium. The ontology is intended as an aid in brucellosis-related data standardization and integration.","abbreviation":"IDOBRU","support_links":[{"url":"http://www.phidias.us/bbp/documents/faqs.php","name":"Brucella Bioinformatics Portal FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.phidias.us/bbp/documents/index.php","name":"Documentation","type":"Help documentation"},{"url":"https://sourceforge.net/projects/idobru/","name":"Sourceforge Project Page","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IDOBRU","name":"IDOBRU","portal":"BioPortal"}]},"legacy_ids":["bsg-002691","bsg-s002691"],"name":"FAIRsharing record for: Brucellosis Ontology","abbreviation":"IDOBRU","url":"https://fairsharing.org/10.25504/FAIRsharing.xs4ge6","doi":"10.25504/FAIRsharing.xs4ge6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Brucellosis Ontology is an extension of the Infectious Disease Ontology. It is a biomedical ontology describing the zoonotic disease brucellosis that is caused by Brucella, a facultative intracellular bacterium. The ontology is intended as an aid in brucellosis-related data standardization and integration.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Pathogen","Infection"],"taxonomies":["Brucella"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":689,"pubmed_id":22041276,"title":"Brucellosis Ontology (IDOBRU) as an extension of the Infectious Disease Ontology.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-9","authors":"Lin Y,Xiang Z,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-9","created_at":"2021-09-30T08:23:35.944Z","updated_at":"2021-09-30T08:23:35.944Z"}],"licence_links":[],"grants":[{"id":5285,"fairsharing_record_id":211,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:21.596Z","updated_at":"2021-09-30T09:27:21.596Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5286,"fairsharing_record_id":211,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:21.635Z","updated_at":"2021-09-30T09:30:30.649Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"231","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:07.386Z","metadata":{"doi":"10.25504/FAIRsharing.r3vtvx","name":"Ecological Metadata Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"eml-dev@ecoinformatics.org"}],"homepage":"https://eml.ecoinformatics.org/","citations":[],"identifier":231,"description":"The Ecological Metadata Language (EML) metadata standard was originally developed for the earth, environmental and ecological sciences. It is based on prior work done by the Ecological Society of America and associated efforts. It has been developed to document any research data, and as such can be used outside of these original subject areas. EML is implemented as a series of XML document types that can by used in a modular and extensible manner to document research data. Each EML module is designed to describe one logical part of the total metadata that should be included with any dataset.","abbreviation":"EML","support_links":[{"url":"http://github.com/NCEAS/eml/issues","name":"Issue Tracking / Bug Reports","type":"Github"},{"url":"https://github.com/NCEAS/eml","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/devoted-to-open-data-and-open-source-in-science-and-education","name":"Devoted to open data and open source in science and education.","type":"TeSS links to training materials"},{"url":"https://twitter.com/nceas","name":"@nceas","type":"Twitter"}]},"legacy_ids":["bsg-000552","bsg-s000552"],"name":"FAIRsharing record for: Ecological Metadata Language","abbreviation":"EML","url":"https://fairsharing.org/10.25504/FAIRsharing.r3vtvx","doi":"10.25504/FAIRsharing.r3vtvx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ecological Metadata Language (EML) metadata standard was originally developed for the earth, environmental and ecological sciences. It is based on prior work done by the Ecological Society of America and associated efforts. It has been developed to document any research data, and as such can be used outside of these original subject areas. EML is implemented as a series of XML document types that can by used in a modular and extensible manner to document research data. Each EML module is designed to describe one logical part of the total metadata that should be included with any dataset.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13904}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Ecology","Natural Science","Earth Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":643,"pubmed_id":null,"title":"Maximizing the Value of Ecological Data with Structured Metadata: An Introduction to Ecological Metadata Language (EML) and Principles for Metadata Creation","year":2005,"url":"http://doi.org/10.1890/0012-9623(2005)86[158:MTVOED]2.0.CO;2","authors":"Eric H. Fegraus, Sandy Andelman, Matthew B. Jones, and Mark Schildhauer","journal":"ESA Bulletin","doi":"10.1890/0012-9623(2005)86[158:MTVOED]2.0.CO;2","created_at":"2021-09-30T08:23:30.778Z","updated_at":"2021-09-30T08:23:30.778Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":2144,"relation":"undefined"}],"grants":[{"id":5329,"fairsharing_record_id":231,"organisation_id":652,"relation":"maintains","created_at":"2021-09-30T09:27:23.382Z","updated_at":"2021-09-30T09:27:23.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":652,"name":"DataONE, Santa Barbara, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5328,"fairsharing_record_id":231,"organisation_id":1961,"relation":"maintains","created_at":"2021-09-30T09:27:23.352Z","updated_at":"2021-09-30T09:27:23.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1961,"name":"National Center for Ecological Analysis and Synthesis (NCEAS), Santa Barbara, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5332,"fairsharing_record_id":231,"organisation_id":1643,"relation":"maintains","created_at":"2021-09-30T09:27:23.466Z","updated_at":"2021-09-30T09:27:23.466Z","grant_id":null,"is_lead":false,"saved_state":{"id":1643,"name":"Knowledge Network for Biocomplexity (KNB)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5330,"fairsharing_record_id":231,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:23.411Z","updated_at":"2021-09-30T09:31:25.959Z","grant_id":1166,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB99-80154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11531,"fairsharing_record_id":231,"organisation_id":1725,"relation":"maintains","created_at":"2024-03-21T13:58:07.184Z","updated_at":"2024-03-21T13:58:07.184Z","grant_id":null,"is_lead":false,"saved_state":{"id":1725,"name":"Long-Term Ecological Research Network","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcjBDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e24087733378b810fe2cc0c67d5715171149619b/eml-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"232","type":"fairsharing_records","attributes":{"created_at":"2019-09-03T20:40:12.000Z","updated_at":"2023-02-28T09:27:58.778Z","metadata":{"name":"GO FAIR Core Ontology","status":"in_development","contacts":[{"contact_name":"Robert Pergl","contact_email":"perglr@fit.cvut.cz","contact_orcid":"0000-0003-2980-4400"}],"homepage":"https://github.com/go-fair-ins/GO-FAIR-Ontology","identifier":232,"description":"GO FAIR Core Ontology's goal is to define key terms and their relations, independent on any implementation considerations, i.e. to provide ontological clarification. It is modelled using Unified Foundational Ontology (UFO) and the OntoUML language.","abbreviation":"GFCO","support_links":[{"url":"perglr@fit.cvut.cz","name":"Email","type":"Support email"},{"url":"https://github.com/go-fair-ins/GO-FAIR-Ontology/issues","name":"GitHub Issues","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://www.visual-paradigm.com/download/","name":"Visual Paradigm 16.0"}]},"legacy_ids":["bsg-001394","bsg-s001394"],"name":"FAIRsharing record for: GO FAIR Core Ontology","abbreviation":"GFCO","url":"https://fairsharing.org/fairsharing_records/232","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GO FAIR Core Ontology's goal is to define key terms and their relations, independent on any implementation considerations, i.e. to provide ontological clarification. It is modelled using Unified Foundational Ontology (UFO) and the OntoUML language.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Czech Republic","Italy","Netherlands"],"publications":[],"licence_links":[{"licence_name":"Synapse Apache 2.0","licence_id":766,"licence_url":"https://github.com/Sage-Bionetworks/Synapse-Repository-Services/blob/develop/LICENSE","link_id":1211,"relation":"undefined"}],"grants":[{"id":5335,"fairsharing_record_id":232,"organisation_id":1187,"relation":"maintains","created_at":"2021-09-30T09:27:23.639Z","updated_at":"2021-09-30T09:27:23.639Z","grant_id":null,"is_lead":false,"saved_state":{"id":1187,"name":"GO FAIR","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5334,"fairsharing_record_id":232,"organisation_id":634,"relation":"maintains","created_at":"2021-09-30T09:27:23.537Z","updated_at":"2021-09-30T09:27:23.537Z","grant_id":null,"is_lead":true,"saved_state":{"id":634,"name":"Centre of Conceptual Modelling and Implementation, Faculty of Information Technology, Czech Technical University in Prague","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":10381,"fairsharing_record_id":232,"organisation_id":3901,"relation":"collaborates_on","created_at":"2023-02-28T09:13:48.814Z","updated_at":"2023-02-28T09:13:48.814Z","grant_id":null,"is_lead":false,"saved_state":{"id":3901,"name":"GO FAIR Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}},{"id":10382,"fairsharing_record_id":232,"organisation_id":3902,"relation":"collaborates_on","created_at":"2023-02-28T09:13:48.819Z","updated_at":"2023-02-28T09:13:48.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":3902,"name":"Codevence","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":10380,"fairsharing_record_id":232,"organisation_id":3900,"relation":"maintains","created_at":"2023-02-27T11:43:06.097Z","updated_at":"2023-02-27T11:43:06.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":3900,"name":"Faculty of Information Technology, Czech Technical University in Prague","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5333,"fairsharing_record_id":232,"organisation_id":1055,"relation":"maintains","created_at":"2021-09-30T09:27:23.504Z","updated_at":"2021-09-30T09:27:23.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":1055,"name":"Faculty of Computer Science, Free University of Bozen-Bolzano","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"233","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.394Z","metadata":{"doi":"10.25504/FAIRsharing.mc998w","name":"Neomark Oral Cancer Ontology version 4","status":"uncertain","contacts":[{"contact_name":"Dario Salvi","contact_email":"dsalvi@lst.tfo.upm.es","contact_orcid":"0000-0002-9203-1124"}],"homepage":"http://bioportal.bioontology.org/ontologies/1686","identifier":233,"description":"An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","abbreviation":"NeoMark4","support_links":[{"url":"http://www.neomark.eu","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-002766","bsg-s002766"],"name":"FAIRsharing record for: Neomark Oral Cancer Ontology version 4","abbreviation":"NeoMark4","url":"https://fairsharing.org/10.25504/FAIRsharing.mc998w","doi":"10.25504/FAIRsharing.mc998w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Oncology","Genomics","Proteomics","Biomedical Science"],"domains":["Biomarker","Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1789,"pubmed_id":22955869,"title":"Merging person-specific bio-markers for predicting oral cancer recurrence through an ontology.","year":2012,"url":"http://doi.org/10.1109/TBME.2012.2216879","authors":"Salvi D,Picone M,Arredondo MT,Cabrera-Umpierrez MF,Esteban A,Steger S,Poli T","journal":"IEEE Trans Biomed Eng","doi":"10.1109/TBME.2012.2216879","created_at":"2021-09-30T08:25:40.797Z","updated_at":"2021-09-30T08:25:40.797Z"}],"licence_links":[],"grants":[{"id":5336,"fairsharing_record_id":233,"organisation_id":2115,"relation":"maintains","created_at":"2021-09-30T09:27:23.671Z","updated_at":"2021-09-30T09:27:23.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":2115,"name":"NeoMark Ltd. Trademark Agency, Montreal, Canada","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"234","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:08:26.452Z","metadata":{"doi":"10.25504/FAIRsharing.dx30m8","name":"Emotion Ontology","status":"ready","contacts":[{"contact_name":"Janna Hastings","contact_email":"hastings@ebi.ac.uk","contact_orcid":"0000-0002-3469-4923"}],"homepage":"https://github.com/jannahastings/emotion-ontology","identifier":234,"description":"An ontology of affective phenomena such as emotions, moods, appraisals and subjective feelings, designed to support interdisciplinary research by providing unified annotations. The ontology is a domain specialisation of the broader Mental Functioning Ontology.","abbreviation":"MFOEM","support_links":[{"url":"https://code.google.com/archive/p/emotion-ontology/","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MFOEM","name":"MFOEM","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mfoem.html","name":"mfoem","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002753","bsg-s002753"],"name":"FAIRsharing record for: Emotion Ontology","abbreviation":"MFOEM","url":"https://fairsharing.org/10.25504/FAIRsharing.dx30m8","doi":"10.25504/FAIRsharing.dx30m8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of affective phenomena such as emotions, moods, appraisals and subjective feelings, designed to support interdisciplinary research by providing unified annotations. The ontology is a domain specialisation of the broader Mental Functioning Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Emotion","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1792,"pubmed_id":25937879,"title":"Evaluating the Emotion Ontology through use in the self-reporting of emotional responses at an academic conference.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-38","authors":"Hastings J,Brass A,Caine C,Jay C,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-38","created_at":"2021-09-30T08:25:41.172Z","updated_at":"2021-09-30T08:25:41.172Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1536,"relation":"undefined"}],"grants":[{"id":5338,"fairsharing_record_id":234,"organisation_id":2677,"relation":"maintains","created_at":"2021-09-30T09:27:23.736Z","updated_at":"2021-09-30T09:27:23.736Z","grant_id":null,"is_lead":false,"saved_state":{"id":2677,"name":"Swiss Center for Affective Science, University of Geneva, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5337,"fairsharing_record_id":234,"organisation_id":3025,"relation":"maintains","created_at":"2021-09-30T09:27:23.703Z","updated_at":"2021-09-30T09:27:23.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5339,"fairsharing_record_id":234,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:23.774Z","updated_at":"2021-09-30T09:28:54.999Z","grant_id":14,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/C536444/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7977,"fairsharing_record_id":234,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:30:12.651Z","updated_at":"2021-09-30T09:30:12.700Z","grant_id":600,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J014176/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"236","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.178Z","metadata":{"doi":"10.25504/FAIRsharing.q5tfhf","name":"BioActivity Ontology","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1684","identifier":236,"description":"There is currently no information avauilable on the BioActivity Ontology. Please contact us if you know more about this ontology.","abbreviation":"BIOA","deprecation_date":"2019-07-16","deprecation_reason":"Deprecated as no information is publicly available about this ontology."},"legacy_ids":["bsg-002765","bsg-s002765"],"name":"FAIRsharing record for: BioActivity Ontology","abbreviation":"BIOA","url":"https://fairsharing.org/10.25504/FAIRsharing.q5tfhf","doi":"10.25504/FAIRsharing.q5tfhf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: There is currently no information avauilable on the BioActivity Ontology. Please contact us if you know more about this ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Molecular entity","Bioactivity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"221","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.015Z","metadata":{"doi":"10.25504/FAIRsharing.rycy2x","name":"Adverse Event Reporting ontology","status":"deprecated","contacts":[{"contact_name":"Melanie Courtot","contact_email":"mcourtot@gmail.com","contact_orcid":"0000-0002-9551-6370"}],"homepage":"http://purl.obolibrary.org/obo/aero","identifier":221,"description":"The Adverse Event Reporting Ontology (AERO) is an ontology aimed at supporting clinicians at the time of data entry, increasing quality and accuracy of reported adverse events.","abbreviation":"AERO","support_links":[{"url":"https://groups.google.com/forum/#!forum/aero-devel","type":"Forum"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AERO","name":"AERO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/aero.html","name":"aero","portal":"OBO Foundry"}],"deprecation_date":"2018-05-17","deprecation_reason":"This resource has been deprecated by its developers."},"legacy_ids":["bsg-002710","bsg-s002710"],"name":"FAIRsharing record for: Adverse Event Reporting ontology","abbreviation":"AERO","url":"https://fairsharing.org/10.25504/FAIRsharing.rycy2x","doi":"10.25504/FAIRsharing.rycy2x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adverse Event Reporting Ontology (AERO) is an ontology aimed at supporting clinicians at the time of data entry, increasing quality and accuracy of reported adverse events.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12022},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12457}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science","Preclinical Studies"],"domains":["Electronic health record","Adverse Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1529,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1528,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"222","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T09:09:07.737Z","metadata":{"doi":"10.25504/FAIRsharing.8wm364","name":"Tick Gross Anatomy","status":"deprecated","contacts":[{"contact_name":"Daniel Sonenshine","contact_email":"dsonensh@odu.edu","contact_orcid":"0000-0001-9370-918X"}],"homepage":"https://www.vectorbase.org/ontology-types/tick-anatomy","citations":[],"identifier":222,"description":"This ontology covers all the terms relevant for the gross anatomy of the tick (family Ixodida).","abbreviation":"TADS","support_links":[{"url":"https://www.vectorbase.org/contact","name":"General contact","type":"Contact form"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TADS","name":"TADS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tads.html","name":"tads","portal":"OBO Foundry"}],"deprecation_date":"2022-03-21","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record. "},"legacy_ids":["bsg-000025","bsg-s000025"],"name":"FAIRsharing record for: Tick Gross Anatomy","abbreviation":"TADS","url":"https://fairsharing.org/10.25504/FAIRsharing.8wm364","doi":"10.25504/FAIRsharing.8wm364","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology covers all the terms relevant for the gross anatomy of the tick (family Ixodida).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Ixodida"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":2331,"pubmed_id":18237287,"title":"Anatomical ontologies of mosquitoes and ticks, and their web browsers in VectorBase.","year":2008,"url":"http://doi.org/10.1111/j.1365-2583.2008.00781.x","authors":"Topalis P,Tzavlaki C,Vestaki K,Dialynas E,Sonenshine DE,Butler R,Bruggner RV,Stinson EO,Collins FH,Louis C","journal":"Insect Mol Biol","doi":"10.1111/j.1365-2583.2008.00781.x","created_at":"2021-09-30T08:26:46.202Z","updated_at":"2021-09-30T08:26:46.202Z"}],"licence_links":[],"grants":[{"id":12023,"fairsharing_record_id":222,"organisation_id":4430,"relation":"associated_with","created_at":"2024-07-04T08:52:06.810Z","updated_at":"2024-07-04T08:52:06.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":4430,"name":"Foundation for Research and Technology Hellas","types":["Charitable foundation"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"223","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.657Z","metadata":{"doi":"10.25504/FAIRsharing.evzkcj","name":"PhenomeBLAST ontology","status":"uncertain","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://code.google.com/archive/p/phenomeblast/","identifier":223,"description":"PhenomeBLAST is an ontology-based tool that provides a practical implementation of cross-species alignments of phenotypes using ontologies. Both a command-line tool and a web-server are available.","abbreviation":"phenomeblast-owl","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHENOMEBLAST","name":"PHENOMEBLAST","portal":"BioPortal"}]},"legacy_ids":["bsg-002746","bsg-s002746"],"name":"FAIRsharing record for: PhenomeBLAST ontology","abbreviation":"phenomeblast-owl","url":"https://fairsharing.org/10.25504/FAIRsharing.evzkcj","doi":"10.25504/FAIRsharing.evzkcj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhenomeBLAST is an ontology-based tool that provides a practical implementation of cross-species alignments of phenotypes using ontologies. Both a command-line tool and a web-server are available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Molecular interaction","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1779,"pubmed_id":21737429,"title":"PhenomeNET: a whole-phenome approach to disease gene discovery.","year":2011,"url":"http://doi.org/10.1093/nar/gkr538","authors":"Hoehndorf R,Schofield PN,Gkoutos GV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr538","created_at":"2021-09-30T08:25:39.685Z","updated_at":"2021-09-30T11:29:20.728Z"},{"id":1793,"pubmed_id":22814867,"title":"Computational tools for comparative phenomics: the role and promise of ontologies.","year":2012,"url":"http://doi.org/10.1007/s00335-012-9404-4","authors":"Gkoutos GV,Schofield PN,Hoehndorf R","journal":"Mamm Genome","doi":"10.1007/s00335-012-9404-4","created_at":"2021-09-30T08:25:41.280Z","updated_at":"2021-09-30T08:25:41.280Z"}],"licence_links":[],"grants":[{"id":5318,"fairsharing_record_id":223,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:22.973Z","updated_at":"2021-09-30T09:27:22.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5321,"fairsharing_record_id":223,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:23.082Z","updated_at":"2021-09-30T09:27:23.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9143,"fairsharing_record_id":223,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.244Z","updated_at":"2022-04-11T12:07:17.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9254,"fairsharing_record_id":223,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.644Z","updated_at":"2022-04-11T12:07:25.644Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"224","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.211Z","metadata":{"doi":"10.25504/FAIRsharing.7s74s8","name":"Sleep Domain Ontology","status":"ready","contacts":[{"contact_name":"Sivaram Arabandi","contact_email":"sivaram.arabandi@gmail.com","contact_orcid":"0000-0002-2973-6228"}],"homepage":"http://bioportal.bioontology.org/ontologies/1651","identifier":224,"description":"An application ontology for the domain of Sleep Medicine.","abbreviation":"SDO","support_links":[{"url":"https://www.bioontology.org/sites/default/files/Developing%20an%20Application%20Ontology%20for%20Sleep%20Domain%20-%20NCBO%20Webinar%20-%20April%207%2C%202010.pdf","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-002741","bsg-s002741"],"name":"FAIRsharing record for: Sleep Domain Ontology","abbreviation":"SDO","url":"https://fairsharing.org/10.25504/FAIRsharing.7s74s8","doi":"10.25504/FAIRsharing.7s74s8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of Sleep Medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Health Science","Biomedical Science"],"domains":["Sleep","Phenotype","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"225","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.279Z","metadata":{"doi":"10.25504/FAIRsharing.s8nf87","name":"Quadrupedal Gait","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1657","identifier":225,"description":"\"Quadrupedal Gait\" is a standard that was, until recently, listed on BioPortal. The entry there has now been deleted and we have been unable to find any record of this standard. If you know more, please do not hesitate to contact us.","abbreviation":"CAMRQ","deprecation_date":"2021-09-30","deprecation_reason":"No information can be found on this record."},"legacy_ids":["bsg-002747","bsg-s002747"],"name":"FAIRsharing record for: Quadrupedal Gait","abbreviation":"CAMRQ","url":"https://fairsharing.org/10.25504/FAIRsharing.s8nf87","doi":"10.25504/FAIRsharing.s8nf87","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Quadrupedal Gait\" is a standard that was, until recently, listed on BioPortal. The entry there has now been deleted and we have been unable to find any record of this standard. If you know more, please do not hesitate to contact us.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"226","type":"fairsharing_records","attributes":{"created_at":"2018-10-04T10:52:09.000Z","updated_at":"2021-11-24T13:16:13.177Z","metadata":{"doi":"10.25504/FAIRsharing.f2658b","name":"Table Schema","status":"ready","homepage":"http://frictionlessdata.io/specs/table-schema/","identifier":226,"description":"Table Schema is a simple language- and implementation-agnostic way to declare a schema for tabular data. Table Schema is well suited for use cases around handling and validating tabular data in text formats such as CSV, but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format.","abbreviation":"Table Schema","support_links":[{"url":"https://discuss.okfn.org/c/frictionless-data","name":"Frictionless Data Forum","type":"Forum"},{"url":"http://frictionlessdata.io/data-packages/","name":"Data Packages Explained","type":"Help documentation"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/frictionlessdata/tableschema-js","name":"JavaScript library"},{"url":"https://github.com/frictionlessdata/tableschema-py","name":"Python library"}]},"legacy_ids":["bsg-001301","bsg-s001301"],"name":"FAIRsharing record for: Table Schema","abbreviation":"Table Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.f2658b","doi":"10.25504/FAIRsharing.f2658b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Table Schema is a simple language- and implementation-agnostic way to declare a schema for tabular data. Table Schema is well suited for use cases around handling and validating tabular data in text formats such as CSV, but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United Kingdom","Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1825,"relation":"undefined"}],"grants":[{"id":5322,"fairsharing_record_id":226,"organisation_id":1063,"relation":"maintains","created_at":"2021-09-30T09:27:23.124Z","updated_at":"2021-09-30T09:27:23.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":1063,"name":"Frictionless Data, Open Knowledge International, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"252","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:59.000Z","updated_at":"2022-07-20T12:34:25.942Z","metadata":{"doi":"10.25504/FAIRsharing.lXAOu2","name":"FAIR Maturity Indicator Gen2-MI-F2B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F2B.md","identifier":252,"description":"The FAIR Maturity Indicator Gen2-MI-F2B measures whether the metadata of the record contains \"structured\" elements that are \"grounded\" in shared vocabularies. For example, in one of the various forms of linked data (JSON-LD, RDFa, Turtle, etc.)","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001375","bsg-s001375"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F2B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.lXAOu2","doi":"10.25504/FAIRsharing.lXAOu2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F2B measures whether the metadata of the record contains \"structured\" elements that are \"grounded\" in shared vocabularies. For example, in one of the various forms of linked data (JSON-LD, RDFa, Turtle, etc.)","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13167},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13208},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13228},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13258},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13274},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20169}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1486,"relation":"undefined"}],"grants":[{"id":5376,"fairsharing_record_id":252,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:25.178Z","updated_at":"2021-09-30T09:27:25.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5377,"fairsharing_record_id":252,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:25.259Z","updated_at":"2021-09-30T09:27:25.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5378,"fairsharing_record_id":252,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:25.297Z","updated_at":"2021-09-30T09:27:25.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5379,"fairsharing_record_id":252,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:25.329Z","updated_at":"2021-09-30T09:27:25.329Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"253","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:10.334Z","metadata":{"doi":"10.25504/FAIRsharing.xbvhg2","name":"Scalable Vector Graphics","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"www-svg@w3.org"}],"homepage":"http://www.w3.org/TR/SVG/","identifier":253,"description":"Scalable Vector Graphics (SVG) Version 1.1, a modularized language for describing two-dimensional vector and mixed vector/raster graphics in XML.","abbreviation":"SVG","support_links":[{"url":"https://en.wikipedia.org/wiki/Scalable_Vector_Graphics","type":"Wikipedia"}],"year_creation":1998},"legacy_ids":["bsg-000266","bsg-s000266"],"name":"FAIRsharing record for: Scalable Vector Graphics","abbreviation":"SVG","url":"https://fairsharing.org/10.25504/FAIRsharing.xbvhg2","doi":"10.25504/FAIRsharing.xbvhg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Scalable Vector Graphics (SVG) Version 1.1, a modularized language for describing two-dimensional vector and mixed vector/raster graphics in XML.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18266}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Graph","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5380,"fairsharing_record_id":253,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:25.362Z","updated_at":"2021-09-30T09:27:25.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"254","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.438Z","metadata":{"doi":"10.25504/FAIRsharing.sec0c9","name":"Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Osamu Ohara","contact_email":"oosamu@rcai.riken.jp"}],"homepage":"http://web16.kazusa.or.jp/rapid/","identifier":254,"description":"RAPID phenotype ontology presents controlled vocabulary of ontology class structures and entities of observed phenotypic terms for primary immunodeficiency diseases (PIDs) that facilitate global sharing and free exchange of PID data with users’ communities","abbreviation":"RAPID Phenotype Ontology","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RAPID","name":"RAPID","portal":"BioPortal"}]},"legacy_ids":["bsg-002828","bsg-s002828"],"name":"FAIRsharing record for: Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","abbreviation":"RAPID Phenotype Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.sec0c9","doi":"10.25504/FAIRsharing.sec0c9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RAPID phenotype ontology presents controlled vocabulary of ontology class structures and entities of observed phenotypic terms for primary immunodeficiency diseases (PIDs) that facilitate global sharing and free exchange of PID data with users’ communities","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1780,"pubmed_id":18842635,"title":"RAPID: Resource of Asian Primary Immunodeficiency Diseases.","year":2008,"url":"http://doi.org/10.1093/nar/gkn682","authors":"Keerthikumar S,Raju R,Kandasamy K,Hijikata A,Ramabadran S,Balakrishnan L,Ahmed M,Rani S,Selvan LD,Somanathan DS,Ray S,Bhattacharjee M,Gollapudi S,Ramachandra YL,Bhadra S,Bhattacharyya C,Imai K,Nonoyama S,Kanegane H,Miyawaki T,Pandey A,Ohara O,Mohan S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn682","created_at":"2021-09-30T08:25:39.793Z","updated_at":"2021-09-30T11:29:20.819Z"}],"licence_links":[],"grants":[{"id":5381,"fairsharing_record_id":254,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:27:25.421Z","updated_at":"2021-09-30T09:27:25.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"255","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.935Z","metadata":{"doi":"10.25504/FAIRsharing.np643r","name":"Guidelines for Information About Therapy Experiments","status":"ready","contacts":[{"contact_name":"Alejandra Gonzalez-Beltran","contact_email":"alejandra.gonzalez.beltran@gmail.com","contact_orcid":"0000-0003-3499-8262"}],"homepage":"http://www.antibodysociety.org/","identifier":255,"description":"Guidelines for Information About Therapy Experiments (GIATE)is a minimum information checklist creating a consistent framework to transparently report the purpose, methods and results of the therapeutic experiments.","abbreviation":"GIATE","year_creation":2011},"legacy_ids":["bsg-000163","bsg-s000163"],"name":"FAIRsharing record for: Guidelines for Information About Therapy Experiments","abbreviation":"GIATE","url":"https://fairsharing.org/10.25504/FAIRsharing.np643r","doi":"10.25504/FAIRsharing.np643r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Guidelines for Information About Therapy Experiments (GIATE)is a minimum information checklist creating a consistent framework to transparently report the purpose, methods and results of the therapeutic experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11581},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11980}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Cancer","Antibody","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":887,"pubmed_id":21473938,"title":"Establishing a knowledge trail from molecular experiments to clinical trials.","year":2011,"url":"http://doi.org/10.1016/j.nbt.2011.03.016","authors":"Yong MY,Gonzalez-Beltran A,Begent R","journal":"N Biotechnol","doi":"10.1016/j.nbt.2011.03.016","created_at":"2021-09-30T08:23:57.948Z","updated_at":"2021-09-30T08:23:57.948Z"},{"id":1069,"pubmed_id":19224941,"title":"Data standards for minimum information collection for antibody therapy experiments","year":2009,"url":"http://doi.org/10.1093/protein/gzp003","authors":"M. Yong, B. Tolner, S. Nagl, R.B. Pedly, K. Chester, A.J. Green, A. Mayer, S. Sharma, R. Begent.","journal":"Protein, Engineering, Design and Selection","doi":"10.1093/protein/gzp003","created_at":"2021-09-30T08:24:18.381Z","updated_at":"2021-09-30T08:24:18.381Z"},{"id":1070,"pubmed_id":21062155,"title":"Best use of experimental data in cancer informatics","year":2010,"url":"http://doi.org/10.2217/fon.10.108","authors":"M. Yong, R. Begent.","journal":"Future Oncology","doi":"10.2217/fon.10.108","created_at":"2021-09-30T08:24:18.491Z","updated_at":"2021-09-30T08:24:18.491Z"},{"id":1071,"pubmed_id":null,"title":"Meeting Report from the Second “Minimum Information for Biological and Biomedical Investigations” (MIBBI) workshop","year":2010,"url":"http://doi.org/10.4056/sigs.1473621","authors":"Carsten Kettner, Dawn Field, Susanna Sansone, Chris Taylor, Jan Aerts, Nigel Binns, Andrew Black, Cedrik M. Britten, Ario de Marco, Jennifer Fostel, Pascale Gaudet, Alejandra González-Beltrán, Nigel Hardy, Jan Hellmans, Hennin Hermjakob, Nick Juty, Jim Leebens-Mack, Eamonn Maguire, Steffen Neumann, Sandra Orchard, Helen Parkinson, William Piel, Shoba Ranganathan, Philippe Rocca-Serra, Annapaola Santarsiero, David Shotton, Peter Sterk, Andreas Untergasser, Patricia L. Whetzel","journal":"Standards in Genomic Sciences","doi":"10.4056/sigs.1473621","created_at":"2021-09-30T08:24:18.597Z","updated_at":"2021-09-30T11:28:31.823Z"},{"id":1806,"pubmed_id":22226027,"title":"Guidelines for information about therapy experiments: a proposal on best practice for recording experimental data on cancer therapy.","year":2012,"url":"http://doi.org/10.1186/1756-0500-5-10","authors":"Gonzalez-Beltran AN,Yong MY,Dancey G,Begent R","journal":"BMC Res Notes","doi":"10.1186/1756-0500-5-10","created_at":"2021-09-30T08:25:42.754Z","updated_at":"2021-09-30T08:25:42.754Z"}],"licence_links":[],"grants":[{"id":5384,"fairsharing_record_id":255,"organisation_id":2885,"relation":"funds","created_at":"2021-09-30T09:27:25.503Z","updated_at":"2021-09-30T09:27:25.503Z","grant_id":null,"is_lead":false,"saved_state":{"id":2885,"name":"UCL Experimental Cancer Medicine Centre (ECMC)","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5383,"fairsharing_record_id":255,"organisation_id":101,"relation":"maintains","created_at":"2021-09-30T09:27:25.478Z","updated_at":"2021-09-30T09:27:25.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":101,"name":"Antibody Society; GIATE working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5385,"fairsharing_record_id":255,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:25.573Z","updated_at":"2021-09-30T09:31:02.600Z","grant_id":990,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"G0802528","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"217","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:15:12.246Z","metadata":{"doi":"10.25504/FAIRsharing.gaegy8","name":"MIAME Notation in Markup Language","status":"ready","contacts":[{"contact_name":"GEO Administrators","contact_email":"geo@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/geo/info/MINiML.html","identifier":217,"description":"MINiML (MIAME Notation in Markup Language, pronounced 'minimal') is a data exchange format optimized for microarray gene expression data, as well as many other types of high-throughput molecular abundance data. MINiML assumes only very basic relations between objects: Platform (e.g., array), Sample (e.g., hybridization), and Series (experiment). MINiML captures all components of the MIAME checklist, as well as any additional information that the submitter wants to provide. MINiML uses XML Schema as syntax.","abbreviation":"MINiML","support_links":[{"url":"https://www.ncbi.nlm.nih.gov/geo/info/MINiML.html#guidelines","name":"Guidelines","type":"Help documentation"}]},"legacy_ids":["bsg-000076","bsg-s000076"],"name":"FAIRsharing record for: MIAME Notation in Markup Language","abbreviation":"MINiML","url":"https://fairsharing.org/10.25504/FAIRsharing.gaegy8","doi":"10.25504/FAIRsharing.gaegy8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINiML (MIAME Notation in Markup Language, pronounced 'minimal') is a data exchange format optimized for microarray gene expression data, as well as many other types of high-throughput molecular abundance data. MINiML assumes only very basic relations between objects: Platform (e.g., array), Sample (e.g., hybridization), and Series (experiment). MINiML captures all components of the MIAME checklist, as well as any additional information that the submitter wants to provide. MINiML uses XML Schema as syntax.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11191},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12407}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science"],"domains":["Expression data","Assay","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8728,"fairsharing_record_id":217,"organisation_id":1960,"relation":"maintains","created_at":"2022-01-18T14:36:02.275Z","updated_at":"2022-01-18T14:36:02.275Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5307,"fairsharing_record_id":217,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:22.522Z","updated_at":"2021-09-30T09:27:22.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"218","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:16.936Z","metadata":{"doi":"10.25504/FAIRsharing.p6412v","name":"Epilepsy Ontology","status":"deprecated","contacts":[{"contact_name":"Antonio Dourado","contact_email":"dourado@dei.uc.pt","contact_orcid":"0000-0002-5445-6893"}],"homepage":"http://www.epilepsiae.eu/","citations":[],"identifier":218,"description":"Ontology about the epilepsy domain and epileptic seizures. Based on the diagnosis proposed by the International League Against Epilepsy (ILAE).","abbreviation":"Epilepsy Ontology","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EPILONT","name":"EPILONT","portal":"BioPortal"}],"deprecation_date":"2024-06-13","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002732","bsg-s002732"],"name":"FAIRsharing record for: Epilepsy Ontology","abbreviation":"Epilepsy Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.p6412v","doi":"10.25504/FAIRsharing.p6412v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology about the epilepsy domain and epileptic seizures. Based on the diagnosis proposed by the International League Against Epilepsy (ILAE).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Epilepsy","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Portugal"],"publications":[],"licence_links":[],"grants":[{"id":5308,"fairsharing_record_id":218,"organisation_id":480,"relation":"maintains","created_at":"2021-09-30T09:27:22.559Z","updated_at":"2021-09-30T09:27:22.559Z","grant_id":null,"is_lead":false,"saved_state":{"id":480,"name":"Centro de Informatica e Sistemas da Universidade de Coimbra (CISUC), Coimbra, Portugal","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"219","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:25:53.740Z","metadata":{"doi":"10.25504/FAIRsharing.kj3m5n","name":"Hymenoptera Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Andrew R Deans","contact_email":"andy_deans@ncsu.edu","contact_orcid":"0000-0002-2119-4663"}],"homepage":"http://portal.hymao.org/projects/32/public/ontology/","citations":[],"identifier":219,"description":"The Hymenoptera Anatomy Ontology is a structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, and ants)","abbreviation":"HAO","support_links":[{"url":"diapriid@gmail.com","type":"Support email"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HAO","name":"HAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/hao.html","name":"hao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000023","bsg-s000023"],"name":"FAIRsharing record for: Hymenoptera Anatomy Ontology","abbreviation":"HAO","url":"https://fairsharing.org/10.25504/FAIRsharing.kj3m5n","doi":"10.25504/FAIRsharing.kj3m5n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hymenoptera Anatomy Ontology is a structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, and ants)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Image"],"taxonomies":["Hymenoptera"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2,"pubmed_id":21209921,"title":"A gross anatomy ontology for hymenoptera.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0015991","authors":"Yoder MJ, Miko I, Seltmann KC, Bertone MA, Deans AR","journal":"PLoS ONE","doi":"10.1371/journal.pone.0015991","created_at":"2021-09-30T08:22:20.797Z","updated_at":"2021-09-30T08:22:20.797Z"}],"licence_links":[],"grants":[{"id":5309,"fairsharing_record_id":219,"organisation_id":1897,"relation":"maintains","created_at":"2021-09-30T09:27:22.592Z","updated_at":"2021-09-30T09:27:22.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1897,"name":"MorphBank, Tallahassee, FL, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5311,"fairsharing_record_id":219,"organisation_id":1294,"relation":"maintains","created_at":"2021-09-30T09:27:22.642Z","updated_at":"2021-09-30T09:27:22.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":1294,"name":"Hymenoptera Anatomy Ontology (HAO) administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5313,"fairsharing_record_id":219,"organisation_id":1521,"relation":"maintains","created_at":"2021-09-30T09:27:22.702Z","updated_at":"2021-09-30T09:27:22.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":1521,"name":"International Society of Hymenopterists (ISH)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5310,"fairsharing_record_id":219,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:22.617Z","updated_at":"2021-09-30T09:31:32.101Z","grant_id":1213,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0850223","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"220","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:33:28.121Z","metadata":{"doi":"10.25504/FAIRsharing.4g8mkg","name":"Health Indicators Ontology","status":"deprecated","contacts":[{"contact_name":"Anya Okhmatovskaia","contact_email":"okhmatovskaia@gmail.com"}],"homepage":"http://surveillance.mcgill.ca/wiki/Health%20Indicators%20Ontology","citations":[],"identifier":220,"description":"Health Indicators Ontology is an ontology of a number of health related indicator terms and description as well as health status classifications.","abbreviation":null,"year_creation":2004,"deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002711","bsg-s002711"],"name":"FAIRsharing record for: Health Indicators Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4g8mkg","doi":"10.25504/FAIRsharing.4g8mkg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Health Indicators Ontology is an ontology of a number of health related indicator terms and description as well as health status classifications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1037,"pubmed_id":16181619,"title":"A pilot ontological model of public health indicators.","year":2005,"url":"http://doi.org/10.1016/j.compbiomed.2005.07.003","authors":"Surjan G,Szilagyi E,Kovats T","journal":"Comput Biol Med","doi":"10.1016/j.compbiomed.2005.07.003","created_at":"2021-09-30T08:24:14.839Z","updated_at":"2021-09-30T08:24:14.839Z"}],"licence_links":[],"grants":[{"id":5315,"fairsharing_record_id":220,"organisation_id":2669,"relation":"maintains","created_at":"2021-09-30T09:27:22.778Z","updated_at":"2021-09-30T09:27:22.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":2669,"name":"Surveillance Lab, McGill University, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5314,"fairsharing_record_id":220,"organisation_id":28,"relation":"maintains","created_at":"2021-09-30T09:27:22.740Z","updated_at":"2021-09-30T09:27:22.740Z","grant_id":null,"is_lead":false,"saved_state":{"id":28,"name":"Adverse-Event-Reporting-Ontology (AERO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"227","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.968Z","metadata":{"doi":"10.25504/FAIRsharing.qz0rvm","name":"Variant Effect Predictor data format","status":"ready","contacts":[{"contact_name":"William McLaren","contact_email":"wm2@ebi.ac.uk","contact_orcid":"0000-0001-6218-1116"}],"homepage":"http://www.ensembl.org/info/docs/tools/vep/vep_formats.html","identifier":227,"description":"A text format devised by Ensembl for the eponymous Variant Effect Predictor tool.","abbreviation":"VEP","support_links":[{"url":"http://www.ensembl.org/info/docs/tools/vep/vep_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://tess.elixir-europe.org/materials/ensembl-variant-effect-predictor-vep-webinar","name":"Ensembl variant effect predictor vep webinar","type":"TeSS links to training materials"}]},"legacy_ids":["bsg-000531","bsg-s000531"],"name":"FAIRsharing record for: Variant Effect Predictor data format","abbreviation":"VEP","url":"https://fairsharing.org/10.25504/FAIRsharing.qz0rvm","doi":"10.25504/FAIRsharing.qz0rvm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A text format devised by Ensembl for the eponymous Variant Effect Predictor tool.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":197,"pubmed_id":27268795,"title":"The Ensembl Variant Effect Predictor.","year":2016,"url":"http://doi.org/10.1186/s13059-016-0974-4","authors":"McLaren W,Gil L,Hunt SE,Riat HS,Ritchie GR,Thormann A,Flicek P,Cunningham F","journal":"Genome Biol","doi":"10.1186/s13059-016-0974-4","created_at":"2021-09-30T08:22:41.589Z","updated_at":"2021-09-30T08:22:41.589Z"}],"licence_links":[],"grants":[{"id":5323,"fairsharing_record_id":227,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:23.165Z","updated_at":"2021-09-30T09:29:06.615Z","grant_id":97,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5324,"fairsharing_record_id":227,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:23.203Z","updated_at":"2021-09-30T09:27:23.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5325,"fairsharing_record_id":227,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:23.241Z","updated_at":"2021-09-30T09:29:49.966Z","grant_id":425,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8096,"fairsharing_record_id":227,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:56.313Z","updated_at":"2021-09-30T09:30:56.361Z","grant_id":943,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"222664","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8475,"fairsharing_record_id":227,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:49.307Z","updated_at":"2021-09-30T09:32:49.344Z","grant_id":1791,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT095908","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"229","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.105Z","metadata":{"doi":"10.25504/FAIRsharing.jgbxr","name":"Tox Biology Checklist","status":"uncertain","contacts":[{"contact_name":"Jennifer Fostel","contact_email":"fostel@niehs.nih.gov"}],"homepage":"http://mibbi.sf.net/projects/TBC.shtml","identifier":229,"description":"The Tox Biology Checklist was created to describe information that should be included with data derived from a biological study. The exact details of the checklist information depend on the study design and the nature of the subjects used in the study. In broad terms, this checklist recognizes that study data can be best interpreted in context of the subject characteristics, the conditions used to treat or collect the subjects, the conditions of care and disposition, and the timeline of study execution. Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked its status as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"TBC","year_creation":2007},"legacy_ids":["bsg-000193","bsg-s000193"],"name":"FAIRsharing record for: Tox Biology Checklist","abbreviation":"TBC","url":"https://fairsharing.org/10.25504/FAIRsharing.jgbxr","doi":"10.25504/FAIRsharing.jgbxr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Tox Biology Checklist was created to describe information that should be included with data derived from a biological study. The exact details of the checklist information depend on the study design and the nature of the subjects used in the study. In broad terms, this checklist recognizes that study data can be best interpreted in context of the subject characteristics, the conditions used to treat or collect the subjects, the conditions of care and disposition, and the timeline of study execution. Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked its status as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11603},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12089},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16656}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicology","Life Science"],"domains":["Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":882,"pubmed_id":17442663,"title":"Toward a checklist for exchange and interpretation of data from a toxicology study.","year":2007,"url":"http://doi.org/10.1093/toxsci/kfm090","authors":"Fostel JM,Burgoon L,Zwickl C,Lord P,Corton JC,Bushel PR,Cunningham M,Fan L,Edwards SW,Hester S,Stevens J,Tong W,Waters M,Yang C,Tennant R","journal":"Toxicol Sci","doi":"10.1093/toxsci/kfm090","created_at":"2021-09-30T08:23:57.354Z","updated_at":"2021-09-30T08:23:57.354Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"230","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T10:12:20.271Z","metadata":{"doi":"10.25504/FAIRsharing.66q7yz","name":"Web-Service Interaction Ontology","status":"ready","contacts":[{"contact_name":"Matus Kalas","contact_email":"matus.kalas@uib.no"}],"homepage":"http://wsio.org/","identifier":230,"description":"Web Service Interaction Ontology (WSIO) enables automated interaction with more complex Web services that are typical for example within life sciences. WSIO is however independent of the application domain and relevant for both SOAP and REST Web services, and for batch execution engines in general.","abbreviation":"WSIO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WSIO","name":"WSIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002729","bsg-s002729"],"name":"FAIRsharing record for: Web-Service Interaction Ontology","abbreviation":"WSIO","url":"https://fairsharing.org/10.25504/FAIRsharing.66q7yz","doi":"10.25504/FAIRsharing.66q7yz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Web Service Interaction Ontology (WSIO) enables automated interaction with more complex Web services that are typical for example within life sciences. WSIO is however independent of the application domain and relevant for both SOAP and REST Web services, and for batch execution engines in general.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[],"grants":[{"id":12026,"fairsharing_record_id":230,"organisation_id":4432,"relation":"maintains","created_at":"2024-07-04T09:58:56.206Z","updated_at":"2024-07-04T09:58:56.206Z","grant_id":null,"is_lead":true,"saved_state":{"id":4432,"name":"University of Bergen, Department of Informatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"238","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:47:53.306Z","metadata":{"doi":"10.25504/FAIRsharing.6bc7h9","name":"Sequence Ontology","status":"ready","contacts":[{"contact_name":"Karen Eilbeck","contact_email":"keilbeck@fruitfly.org","contact_orcid":"0000-0002-0831-6427"}],"homepage":"http://www.sequenceontology.org/","citations":[{"doi":"10.1186/gb-2005-6-5-r44","pubmed_id":15892872,"publication_id":575}],"identifier":238,"description":"SO is a collaborative ontology project for the definition of sequence features used in biological sequence annotation. The Sequence Ontology is a set of terms and relationships used to describe the features and attributes of biological sequence. SO includes different kinds of features which can be located on the sequence.","abbreviation":"SO","support_links":[{"url":"https://github.com/The-Sequence-Ontology/SO-Ontologies/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"song-devel@lists.sourceforge.net","name":"SO Mailing list","type":"Mailing list"},{"url":"http://www.sequenceontology.org/so_wiki/index.php/Main_Page","name":"SO Wiki Pages","type":"Help documentation"},{"url":"https://github.com/The-Sequence-Ontology/SO-Ontologies","name":"GitHub Repository","type":"Github"}],"year_creation":2004,"associated_tools":[{"url":"https://github.com/The-Sequence-Ontology/GAL","name":"Genome Annotation Library 0.01"},{"url":"https://github.com/The-Sequence-Ontology/SOBA","name":"Sequence Ontology Bioinformatics Analysis"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SO","name":"SO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/so.html","name":"so","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000046","bsg-s000046"],"name":"FAIRsharing record for: Sequence Ontology","abbreviation":"SO","url":"https://fairsharing.org/10.25504/FAIRsharing.6bc7h9","doi":"10.25504/FAIRsharing.6bc7h9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SO is a collaborative ontology project for the definition of sequence features used in biological sequence annotation. The Sequence Ontology is a set of terms and relationships used to describe the features and attributes of biological sequence. SO includes different kinds of features which can be located on the sequence.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10866},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11139},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11923},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16745}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Life Science","Biology"],"domains":["Sequence annotation","Deoxyribonucleic acid","Ribonucleic acid","Sequence","Sequence feature","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":432,"pubmed_id":20796305,"title":"A standard variation file format for human genome sequences.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-8-r88","authors":"Reese MG, Moore B, Batchelor C, Salas F, Cunningham F, Marth GT, Stein L, Flicek P, Yandell M, Eilbeck K.","journal":"Genome Biol.","doi":"10.1186/gb-2010-11-8-r88","created_at":"2021-09-30T08:23:06.983Z","updated_at":"2021-09-30T08:23:06.983Z"},{"id":575,"pubmed_id":15892872,"title":"The Sequence Ontology: a tool for the unification of genome annotations.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r44","authors":"Eilbeck K, Lewis SE, Mungall CJ, Yandell M, Stein L, Durbin R, Ashburner M.","journal":"Genome Biology","doi":"10.1186/gb-2005-6-5-r44","created_at":"2021-09-30T08:23:22.943Z","updated_at":"2021-09-30T08:23:22.943Z"},{"id":578,"pubmed_id":20226267,"title":"Evolution of the Sequence Ontology terms and relationships.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.03.002","authors":"Mungall CJ, Batchelor C, Eilbeck K.","journal":"J Biomed Inform.","doi":"10.1016/j.jbi.2010.03.002","created_at":"2021-09-30T08:23:23.252Z","updated_at":"2021-09-30T08:23:23.252Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1838,"relation":"undefined"}],"grants":[{"id":5343,"fairsharing_record_id":238,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:23.937Z","updated_at":"2021-09-30T09:27:23.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5344,"fairsharing_record_id":238,"organisation_id":2548,"relation":"maintains","created_at":"2021-09-30T09:27:23.970Z","updated_at":"2021-09-30T09:27:23.970Z","grant_id":null,"is_lead":true,"saved_state":{"id":2548,"name":"Sequence Ontology Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5345,"fairsharing_record_id":238,"organisation_id":718,"relation":"maintains","created_at":"2021-09-30T09:27:23.993Z","updated_at":"2021-09-30T09:27:23.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":718,"name":"Department of Human Genetics, University of Utah, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5346,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:24.023Z","updated_at":"2021-09-30T09:28:53.959Z","grant_id":6,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5R01HG004341","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7982,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:30:15.236Z","updated_at":"2021-09-30T09:30:15.327Z","grant_id":623,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"P41HG002273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8191,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:25.589Z","updated_at":"2021-09-30T09:31:25.644Z","grant_id":1164,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"2R44HG002991","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8286,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:54.539Z","updated_at":"2021-09-30T09:31:54.586Z","grant_id":1381,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1RC2HG005619","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8311,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:01.521Z","updated_at":"2021-09-30T09:32:01.574Z","grant_id":1433,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG004341","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8322,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:04.933Z","updated_at":"2021-09-30T09:32:05.023Z","grant_id":1460,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"2R44HG003667","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"237","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:00:49.860Z","metadata":{"doi":"10.25504/FAIRsharing.3ngg40","name":"Plant Ontology","status":"ready","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu","contact_orcid":"0000-0002-1005-8383"}],"homepage":"http://plantontology.org/","identifier":237,"description":"The Plant Ontology is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. The PO is under active development to expand to encompass terms and annotations from all plants.","abbreviation":"PO","support_links":[{"url":"http://planteome.org/contact","name":"Contact Planteome / PO","type":"Contact form"},{"url":"https://github.com/Planteome/plant-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://planteome.org/documents","name":"Planteome Documents","type":"Help documentation"},{"url":"https://github.com/Planteome/plant-ontology","name":"GitHub Repository","type":"Github"},{"url":"http://wiki.plantontology.org/index.php/Main_Page","name":"Plant Ontology Wiki","type":"Help documentation"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PO","name":"PO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/po.html","name":"po","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000029","bsg-s000029"],"name":"FAIRsharing record for: Plant Ontology","abbreviation":"PO","url":"https://fairsharing.org/10.25504/FAIRsharing.3ngg40","doi":"10.25504/FAIRsharing.3ngg40","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Ontology is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. The PO is under active development to expand to encompass terms and annotations from all plants.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17574},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14550}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science","Plant Anatomy"],"domains":["Expression data","Plant development stage","Life cycle"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":968,"pubmed_id":18629207,"title":"Plant Ontology (PO): a Controlled Vocabulary of Plant Structures and Growth Stages.","year":2008,"url":"http://doi.org/10.1002/cfg.496","authors":"Jaiswal P,Avraham S,Ilic K,Kellogg EA,McCouch S,Pujar A,Reiser L,Rhee SY,Sachs MM,Schaeffer M,Stein L,Stevens P,Vincent L,Ware D,Zapata F","journal":"Comp Funct Genomics","doi":"10.1002/cfg.496","created_at":"2021-09-30T08:24:07.096Z","updated_at":"2021-09-30T08:24:07.096Z"},{"id":982,"pubmed_id":18628842,"title":"The Plant Ontology Consortium and plant ontologies.","year":2008,"url":"http://doi.org/10.1002/cfg.154","authors":"The Plant Ontology Consortium","journal":"Comp Funct Genomics","doi":"10.1002/cfg.154","created_at":"2021-09-30T08:24:08.646Z","updated_at":"2021-09-30T11:28:31.505Z"},{"id":1161,"pubmed_id":26519402,"title":"The Plant Ontology: A Tool for Plant Genomics.","year":2015,"url":"http://doi.org/10.1007/978-1-4939-3167-5_5","authors":"Cooper L,Jaiswal P","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-3167-5_5","created_at":"2021-09-30T08:24:29.098Z","updated_at":"2021-09-30T08:24:29.098Z"},{"id":1695,"pubmed_id":23220694,"title":"The plant ontology as a tool for comparative plant anatomy and genomic analyses.","year":2012,"url":"http://doi.org/10.1093/pcp/pcs163","authors":"Cooper L,Walls RL,Elser J,Gandolfo MA,Stevenson DW,Smith B,Preece J,Athreya B,Mungall CJ,Rensing S,Hiss M,Lang D,Reski R,Berardini TZ,Li D,Huala E,Schaeffer M,Menda N,Arnaud E,Shrestha R,Yamazaki Y,Jaiswal P","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcs163","created_at":"2021-09-30T08:25:29.995Z","updated_at":"2021-09-30T08:25:29.995Z"},{"id":1809,"pubmed_id":18194960,"title":"The Plant Ontology Database: a community resource for plant structure and developmental stages controlled vocabulary and annotations.","year":2008,"url":"http://doi.org/10.1093/nar/gkm908","authors":"Avraham S,Tung CW,Ilic K,Jaiswal P,Kellogg EA,McCouch S,Pujar A,Reiser L,Rhee SY,Sachs MM,Schaeffer M,Stein L,Stevens P,Vincent L,Zapata F,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm908","created_at":"2021-09-30T08:25:43.061Z","updated_at":"2021-09-30T11:29:21.185Z"},{"id":2168,"pubmed_id":25562316,"title":"Finding our way through phenotypes.","year":2015,"url":"http://doi.org/10.1371/journal.pbio.1002033","authors":"Deans AR,Lewis SE,Huala E,Anzaldo SS,Ashburner M,Balhoff JP,Blackburn DC,Blake JA,Burleigh JG,Chanet B,Cooper LD,Courtot M,Csosz S,Cui H,Dahdul W,Das S,Dececchi TA,Dettai A,Diogo R,Druzinsky RE,Dumontier M,Franz NM,Friedrich F,Gkoutos GV,Haendel M,Harmon LJ,Hayamizu TF,He Y,Hines HM,Ibrahim N,Jackson LM,Jaiswal P,James-Zorn C,Kohler S,Lecointre G,Lapp H,Lawrence CJ,Le Novere N,Lundberg JG,Macklin J,Mast AR,Midford PE,Miko I,Mungall CJ,Oellrich A,Osumi-Sutherland D,Parkinson H,Ramirez MJ,Richter S,Robinson PN,Ruttenberg A,Schulz KS,Segerdell E,Seltmann KC,Sharkey MJ,Smith AD,Smith B,Specht CD,Squires RB,Thacker RW,Thessen A,Fernandez-Triana J,Vihinen M,Vize PD,Vogt L,Wall CE,Walls RL,Westerfeld M,Wharton RA,Wirkner CS,Woolley JB,Yoder MJ,Zorn AM,Mabee P","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1002033","created_at":"2021-09-30T08:26:24.351Z","updated_at":"2021-09-30T08:26:24.351Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1664,"relation":"undefined"}],"grants":[{"id":5342,"fairsharing_record_id":237,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:23.899Z","updated_at":"2021-09-30T09:30:01.096Z","grant_id":515,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0822201","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5340,"fairsharing_record_id":237,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:27:23.816Z","updated_at":"2021-09-30T09:27:23.816Z","grant_id":null,"is_lead":true,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5341,"fairsharing_record_id":237,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:27:23.858Z","updated_at":"2021-09-30T09:27:23.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"403","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T15:34:16.000Z","updated_at":"2023-10-03T09:53:49.265Z","metadata":{"doi":"10.25504/FAIRsharing.x8rkjt","name":"MIAPE: Column Chromatography","status":"ready","contacts":[{"contact_name":"Andrew R Jones","contact_email":"andrew.jones@liv.ac.uk"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":403,"description":"MIAPE - Column Chromatography (MIAPE-CC) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CC module is the result of work carried out through the Sample Processing Workgroup of the Proteome Standards Initiative. It has been designed to specify a minimal set of information to document a column chromatography experiment.","abbreviation":"MIAPE-CC","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2009},"legacy_ids":["bsg-000611","bsg-s000611"],"name":"FAIRsharing record for: MIAPE: Column Chromatography","abbreviation":"MIAPE-CC","url":"https://fairsharing.org/10.25504/FAIRsharing.x8rkjt","doi":"10.25504/FAIRsharing.x8rkjt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAPE - Column Chromatography (MIAPE-CC) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CC module is the result of work carried out through the Sample Processing Workgroup of the Proteome Standards Initiative. It has been designed to specify a minimal set of information to document a column chromatography experiment.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11447},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12074}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Chromatography","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United Kingdom","United States"],"publications":[{"id":1294,"pubmed_id":20622829,"title":"Guidelines for reporting the use of column chromatography in proteomics.","year":2010,"url":"http://doi.org/10.1038/nbt0710-654a","authors":"Jones AR,Carroll K,Knight D,Maclellan K,Domann PJ,Legido-Quigley C,Huang L,Smallshaw L,Mirzaei H,Shofstahl J,Paton NW","journal":"Nat Biotechnol","doi":"10.1038/nbt0710-654a","created_at":"2021-09-30T08:24:44.417Z","updated_at":"2021-09-30T08:24:44.417Z"}],"licence_links":[],"grants":[{"id":5606,"fairsharing_record_id":403,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:33.242Z","updated_at":"2023-10-03T09:37:23.572Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1FEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ffad1ffec894551300a0430aeb18e83818ab815f/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"404","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:53:22.122Z","metadata":{"doi":"10.25504/FAIRsharing.wkhxc8","name":"Predictive Model Markup Language","status":"ready","contacts":[{"contact_name":"Support","contact_email":"info@dmg.org"}],"homepage":"http://www.dmg.org/v4-2-1/GeneralStructure.html","citations":[],"identifier":404,"description":"PMML (Predictive Model Markup Language) uses XML to represent data mining models. The structure of the models is described by an XML Schema. One or more mining models can be contained in a PMML document. A PMML document is an XML document with a root element of type PMML.","abbreviation":"PMML","support_links":[{"url":"http://www.dmg.org/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://sourceforge.net/p/pmml/discussion/187860/","type":"Forum"},{"url":"pmml-news@lists.sourceforge.net","type":"Mailing list"},{"url":"https://en.wikipedia.org/wiki/Predictive_Model_Markup_Language","type":"Wikipedia"},{"url":"https://twitter.com/DMG_Standards","type":"Twitter"}],"year_creation":1997},"legacy_ids":["bsg-000569","bsg-s000569"],"name":"FAIRsharing record for: Predictive Model Markup Language","abbreviation":"PMML","url":"https://fairsharing.org/10.25504/FAIRsharing.wkhxc8","doi":"10.25504/FAIRsharing.wkhxc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PMML (Predictive Model Markup Language) uses XML to represent data mining models. The structure of the models is described by an XML Schema. One or more mining models can be contained in a PMML document. A PMML document is an XML document with a root element of type PMML.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16905}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Mining"],"domains":["Computational biological predictions"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5607,"fairsharing_record_id":404,"organisation_id":651,"relation":"maintains","created_at":"2021-09-30T09:27:33.272Z","updated_at":"2021-09-30T09:27:33.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":651,"name":"Data Mining Group, Illinois, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"405","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2024-02-01T11:36:21.034Z","metadata":{"doi":"10.25504/FAIRsharing.9y3gv0","name":"Enzyme Structure Function Ontology","status":"deprecated","contacts":[{"contact_name":"Shoshana Brown","contact_email":"sfld-help@cgl.ucsf.edu"}],"homepage":"http://sfld.rbvi.ucsf.edu/archive/django/index.html","citations":[{"doi":"10.1093/database/bax006","pubmed_id":28365730,"publication_id":646}],"identifier":405,"description":"The ESFO provides a new paradigm for organizing enzyme sequence, structure, and function information, whereby specific elements of enzyme sequence and structure are mapped to specific conserved aspects of function, thus facilitating the functional annotation of uncharacterized enzymes. The ESFO helps prevent misannotation by emphasizing annotation of enzymes only at the level of functional granularity warranted by available information. The archive is a static snapshot of the data in the SFLD as of April 2019, and will not be updated","abbreviation":"ESFO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ESFO","name":"ESFO","portal":"BioPortal"}],"deprecation_date":"2024-02-01","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-001061","bsg-s001061"],"name":"FAIRsharing record for: Enzyme Structure Function Ontology","abbreviation":"ESFO","url":"https://fairsharing.org/10.25504/FAIRsharing.9y3gv0","doi":"10.25504/FAIRsharing.9y3gv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ESFO provides a new paradigm for organizing enzyme sequence, structure, and function information, whereby specific elements of enzyme sequence and structure are mapped to specific conserved aspects of function, thus facilitating the functional annotation of uncharacterized enzymes. The ESFO helps prevent misannotation by emphasizing annotation of enzymes only at the level of functional granularity warranted by available information. The archive is a static snapshot of the data in the SFLD as of April 2019, and will not be updated","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12530}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Enzymology","Life Science"],"domains":["Molecular structure","Protein structure","DNA sequence data","Annotation","Function analysis","Enzyme","Sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":646,"pubmed_id":28365730,"title":"Biocuration in the structure-function linkage database: the anatomy of a superfamily.","year":2017,"url":"http://doi.org/10.1093/database/bax006","authors":"Holliday GL,Brown SD,Akiva E,Mischel D,Hicks MA,Morris JH,Huang CC,Meng EC,Pegg SC,Ferrin TE,Babbitt PC","journal":"Database (Oxford)","doi":"10.1093/database/bax006","created_at":"2021-09-30T08:23:31.104Z","updated_at":"2021-09-30T08:23:31.104Z"}],"licence_links":[],"grants":[{"id":5611,"fairsharing_record_id":405,"organisation_id":1159,"relation":"maintains","created_at":"2021-09-30T09:27:33.410Z","updated_at":"2021-09-30T09:27:33.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":1159,"name":"Gladstone Institutes","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5608,"fairsharing_record_id":405,"organisation_id":1280,"relation":"maintains","created_at":"2021-09-30T09:27:33.296Z","updated_at":"2021-09-30T09:27:33.296Z","grant_id":null,"is_lead":false,"saved_state":{"id":1280,"name":"Human Longevity, Inc, San Diego, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5609,"fairsharing_record_id":405,"organisation_id":734,"relation":"maintains","created_at":"2021-09-30T09:27:33.326Z","updated_at":"2021-09-30T09:27:33.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":734,"name":"Department of Pharmaceutical Chemistry, School of Pharmacy, University of California, San Francisco, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5610,"fairsharing_record_id":405,"organisation_id":342,"relation":"maintains","created_at":"2021-09-30T09:27:33.368Z","updated_at":"2021-09-30T09:27:33.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":342,"name":"California Institute for Quantitative Biosciences, University of California, San Francisco, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5612,"fairsharing_record_id":405,"organisation_id":669,"relation":"maintains","created_at":"2021-09-30T09:27:33.449Z","updated_at":"2021-09-30T09:27:33.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":669,"name":"Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"407","type":"fairsharing_records","attributes":{"created_at":"2020-02-04T12:37:42.000Z","updated_at":"2022-07-20T11:59:47.557Z","metadata":{"doi":"10.25504/FAIRsharing.d5ff6e","name":"Sustainable Development Goals Interface Ontology","status":"ready","contacts":[{"contact_name":"Pier Luigi Buttigieg","contact_email":"pier.buttigieg@awi.de","contact_orcid":"0000-0002-4366-3088"}],"homepage":"https://github.com/SDG-InterfaceOntology/sdgio","identifier":407,"description":"The Sustainable Development Goals Interface Ontology (SDGIO) aims to provide a semantic bridge between 1) the Sustainable Development Goals, their targets, and indicators and 2) the large array of entities they refer to. SDGIO will reuse existing ontologies where appropriate.","abbreviation":"SDGIO","support_links":[{"url":"https://github.com/SDG-InterfaceOntology/sdgio/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/SDG-InterfaceOntology/sdgio/wiki","name":"GitHub Wiki","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001448","bsg-s001448"],"name":"FAIRsharing record for: Sustainable Development Goals Interface Ontology","abbreviation":"SDGIO","url":"https://fairsharing.org/10.25504/FAIRsharing.d5ff6e","doi":"10.25504/FAIRsharing.d5ff6e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sustainable Development Goals Interface Ontology (SDGIO) aims to provide a semantic bridge between 1) the Sustainable Development Goals, their targets, and indicators and 2) the large array of entities they refer to. SDGIO will reuse existing ontologies where appropriate.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science"],"domains":["Sustainability"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":894,"pubmed_id":27664130,"title":"The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0097-6","authors":"Buttigieg PL,Pafilis E,Lewis SE,Schildhauer MP,Walls RL,Mungall CJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0097-6","created_at":"2021-09-30T08:23:58.796Z","updated_at":"2021-09-30T08:23:58.796Z"}],"licence_links":[],"grants":[{"id":5613,"fairsharing_record_id":407,"organisation_id":56,"relation":"maintains","created_at":"2021-09-30T09:27:33.485Z","updated_at":"2021-09-30T09:27:33.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5614,"fairsharing_record_id":407,"organisation_id":2926,"relation":"funds","created_at":"2021-09-30T09:27:33.527Z","updated_at":"2021-09-30T09:27:33.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":2926,"name":"United Nations Environment Programme","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"408","type":"fairsharing_records","attributes":{"created_at":"2021-01-31T20:16:55.000Z","updated_at":"2024-03-05T11:56:55.876Z","metadata":{"doi":"10.25504/FAIRsharing.f3efcf","name":"proteomics BAM","status":"ready","contacts":[{"contact_name":"Juan Antonio Vizcaino","contact_email":"juan@ebi.ac.uk"}],"homepage":"http://www.psidev.info/proBAM","citations":[{"doi":"10.1186/s13059-017-1377-x","pubmed_id":29386051,"publication_id":86}],"identifier":408,"description":"The proteomics BAM (proBAM) file format is designed for storing and analyzing peptide spectrum matches (PSMs) within the context of the genome. proBAM is built upon the SAM format and its compressed binary version, BAM, with necessary modifications to accommodate information specific to proteomics data such as PSM scores and confidence, charge states and peptide level modifications, both artefactual and PTMs (post-translational modifications).","abbreviation":"proBAM","support_links":[{"url":"Gerben.Menschaert@UGent.be","name":"Gerben Menschaert","type":"Support email"},{"url":"https://drive.google.com/drive/folders/0B3XI4MHq2yQpc1ZVSkpJa3I2Mmc","name":"Examples of Use","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"http://probam.biobix.be/","name":"proBAMconvert"},{"url":"http://proteogenomics.zhang-lab.org/","name":"proBAMsuite"}]},"legacy_ids":["bsg-001587","bsg-s001587"],"name":"FAIRsharing record for: proteomics BAM","abbreviation":"proBAM","url":"https://fairsharing.org/10.25504/FAIRsharing.f3efcf","doi":"10.25504/FAIRsharing.f3efcf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The proteomics BAM (proBAM) file format is designed for storing and analyzing peptide spectrum matches (PSMs) within the context of the genome. proBAM is built upon the SAM format and its compressed binary version, BAM, with necessary modifications to accommodate information specific to proteomics data such as PSM scores and confidence, charge states and peptide level modifications, both artefactual and PTMs (post-translational modifications).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12135},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19228}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Proteomics","Proteogenomics"],"domains":["Peptide","Spectrum","Post-translational protein modification","Genome"],"taxonomies":["All"],"user_defined_tags":["Peptide-spectrum matching"],"countries":["Belgium","United Kingdom","United States"],"publications":[{"id":86,"pubmed_id":29386051,"title":"The proBAM and proBed standard formats: enabling a seamless integration of genomics and proteomics data.","year":2018,"url":"http://doi.org/10.1186/s13059-017-1377-x","authors":"Menschaert G,Wang X,Jones AR,Ghali F,Fenyo D,Olexiouk V,Zhang B,Deutsch EW,Ternent T,Vizcaino JA","journal":"Genome Biol","doi":"10.1186/s13059-017-1377-x","created_at":"2021-09-30T08:22:29.424Z","updated_at":"2021-09-30T08:22:29.424Z"}],"licence_links":[],"grants":[{"id":5617,"fairsharing_record_id":408,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:33.638Z","updated_at":"2021-09-30T09:27:33.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5620,"fairsharing_record_id":408,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:27:33.739Z","updated_at":"2021-09-30T09:27:33.739Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5615,"fairsharing_record_id":408,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:27:33.585Z","updated_at":"2021-09-30T09:27:33.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5616,"fairsharing_record_id":408,"organisation_id":1420,"relation":"maintains","created_at":"2021-09-30T09:27:33.613Z","updated_at":"2021-09-30T09:27:33.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":1420,"name":"Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5618,"fairsharing_record_id":408,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:33.667Z","updated_at":"2021-09-30T09:27:33.667Z","grant_id":null,"is_lead":true,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5619,"fairsharing_record_id":408,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:27:33.708Z","updated_at":"2021-09-30T09:27:33.708Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5621,"fairsharing_record_id":408,"organisation_id":707,"relation":"maintains","created_at":"2021-09-30T09:27:33.762Z","updated_at":"2021-09-30T09:27:33.762Z","grant_id":null,"is_lead":false,"saved_state":{"id":707,"name":"Department of Epidemiology and Biostatistics, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5622,"fairsharing_record_id":408,"organisation_id":2154,"relation":"maintains","created_at":"2021-09-30T09:27:33.787Z","updated_at":"2021-09-30T09:27:33.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":2154,"name":"New York University Grossman School of Medicine, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"411","type":"fairsharing_records","attributes":{"created_at":"2015-03-03T09:40:22.000Z","updated_at":"2023-11-08T09:31:51.593Z","metadata":{"doi":"10.25504/FAIRsharing.6mhzhj","name":"Consolidated criteria for reporting qualitative research","status":"ready","contacts":[{"contact_name":"Allison Tong","contact_email":"allisont@chw.edu.au","contact_orcid":"0000-0001-8973-9538"}],"homepage":"https://www.equator-network.org/reporting-guidelines/coreq/","citations":[],"identifier":411,"description":"A reporting guideline composed of 32 criteria for qualitative research interviews and focus groups.","abbreviation":"COREQ","support_links":[],"year_creation":2007},"legacy_ids":["bsg-000585","bsg-s000585"],"name":"FAIRsharing record for: Consolidated criteria for reporting qualitative research","abbreviation":"COREQ","url":"https://fairsharing.org/10.25504/FAIRsharing.6mhzhj","doi":"10.25504/FAIRsharing.6mhzhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A reporting guideline composed of 32 criteria for qualitative research interviews and focus groups.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12486}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Health Science","Biomedical Science","Preclinical Studies"],"domains":["Study design"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["Australia"],"publications":[{"id":733,"pubmed_id":17872937,"title":"Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups","year":2007,"url":"http://doi.org/10.1093/intqhc/mzm042","authors":"Allison Tong , Peter Sainsbury , Jonathan Craig","journal":"International Journal for Quality in Health Care","doi":"10.1093/intqhc/mzm042","created_at":"2021-09-30T08:23:40.797Z","updated_at":"2021-09-30T08:23:40.797Z"}],"licence_links":[],"grants":[{"id":5625,"fairsharing_record_id":411,"organisation_id":2897,"relation":"maintains","created_at":"2021-09-30T09:27:33.863Z","updated_at":"2021-09-30T09:27:33.863Z","grant_id":null,"is_lead":false,"saved_state":{"id":2897,"name":"UK Equator Centre, Centre for Statistics in Medicine (CMS) University of Oxford, Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"412","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.471Z","metadata":{"doi":"10.25504/FAIRsharing.ya2wjp","name":"Interaction Ontology","status":"ready","contacts":[{"contact_name":"Carolyn Mattingly","contact_email":"cmattin@mdibl.org","contact_orcid":"0000-0002-2146-9436"}],"homepage":"http://bioportal.bioontology.org/ontologies/1614","identifier":412,"description":"The Interaction ontology (IxnO) was developed to enable curation of chemical-gene and chemical-protein interactions for the Comparative Toxicogenomics Database (CTD). CTD is a freely available resource that aims to promote understanding and novel hypothesis development about the effects of the environment on human health.","abbreviation":"IxnO","support_links":[{"url":"http://ctdbase.org/help/contact.go","type":"Contact form"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IXNO","name":"IXNO","portal":"BioPortal"}]},"legacy_ids":["bsg-002720","bsg-s002720"],"name":"FAIRsharing record for: Interaction Ontology","abbreviation":"IxnO","url":"https://fairsharing.org/10.25504/FAIRsharing.ya2wjp","doi":"10.25504/FAIRsharing.ya2wjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Interaction ontology (IxnO) was developed to enable curation of chemical-gene and chemical-protein interactions for the Comparative Toxicogenomics Database (CTD). CTD is a freely available resource that aims to promote understanding and novel hypothesis development about the effects of the environment on human health.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Medicine","Health Science","Biomedical Science"],"domains":["Chemical-disease association","Chemical-gene association"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5626,"fairsharing_record_id":412,"organisation_id":1808,"relation":"maintains","created_at":"2021-09-30T09:27:33.887Z","updated_at":"2021-09-30T09:27:33.887Z","grant_id":null,"is_lead":false,"saved_state":{"id":1808,"name":"MDI Biological Laboratory, Bar Harbor, ME, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5627,"fairsharing_record_id":412,"organisation_id":572,"relation":"maintains","created_at":"2021-09-30T09:27:33.914Z","updated_at":"2021-09-30T09:27:33.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":572,"name":"Comparative Toxicogenomics Database","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"413","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T13:04:24.000Z","updated_at":"2022-07-20T12:37:04.013Z","metadata":{"doi":"10.25504/FAIRsharing.a6b4fc","name":"Analyze 7.5 File Format","status":"ready","contacts":[{"contact_name":"Info","contact_email":"info@analyzedirect.com"}],"homepage":"http://imaging.mrc-cbu.cam.ac.uk/imaging/FormatAnalyze","identifier":413,"description":"Analyze 7.5 can store voxel-based volumes and consists of two files: One file with the actual data in a binary format with the filename extension .img and another file (header with filename extension .hdr) with information about the data such as voxel size and number of voxel in each dimension.","abbreviation":"Analyze"},"legacy_ids":["bsg-000576","bsg-s000576"],"name":"FAIRsharing record for: Analyze 7.5 File Format","abbreviation":"Analyze","url":"https://fairsharing.org/10.25504/FAIRsharing.a6b4fc","doi":"10.25504/FAIRsharing.a6b4fc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Analyze 7.5 can store voxel-based volumes and consists of two files: One file with the actual data in a binary format with the filename extension .img and another file (header with filename extension .hdr) with information about the data such as voxel size and number of voxel in each dimension.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Bioimaging","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5628,"fairsharing_record_id":413,"organisation_id":93,"relation":"maintains","created_at":"2021-09-30T09:27:33.937Z","updated_at":"2021-09-30T09:27:33.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":93,"name":"AnalyzeDirect, Inc. United States","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5629,"fairsharing_record_id":413,"organisation_id":265,"relation":"maintains","created_at":"2021-09-30T09:27:33.964Z","updated_at":"2021-09-30T09:27:33.964Z","grant_id":null,"is_lead":true,"saved_state":{"id":265,"name":"Biomedical Imaging Resource Core, Mayo Clinic, Rochester, NY, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"414","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:35.504Z","metadata":{"doi":"10.25504/FAIRsharing.z057ar","name":"GenePattern GeneSet Table Format","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"gp-help@broadinstitute.org"}],"homepage":"http://software.broadinstitute.org/cancer/software/genepattern/file-formats-guide","identifier":414,"description":"GenePattern GeneSet Table Format is an analytical tool and file format for the analysis of gene expression and network analysis provided by GenePattern.","abbreviation":null,"support_links":[{"url":"http://software.broadinstitute.org/cancer/software/genepattern/blog","type":"Blog/News"}],"year_creation":2006},"legacy_ids":["bsg-000237","bsg-s000237"],"name":"FAIRsharing record for: GenePattern GeneSet Table Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.z057ar","doi":"10.25504/FAIRsharing.z057ar","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenePattern GeneSet Table Format is an analytical tool and file format for the analysis of gene expression and network analysis provided by GenePattern.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12436}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Expression data","Differential gene expression analysis","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1688,"pubmed_id":16642009,"title":"GenePattern 2.0.","year":2006,"url":"http://doi.org/10.1038/ng0506-500","authors":"Reich M,Liefeld T,Gould J,Lerner J,Tamayo P,Mesirov JP","journal":"Nat Genet","doi":"10.1038/ng0506-500","created_at":"2021-09-30T08:25:29.188Z","updated_at":"2021-09-30T08:25:29.188Z"}],"licence_links":[],"grants":[{"id":5630,"fairsharing_record_id":414,"organisation_id":2748,"relation":"maintains","created_at":"2021-09-30T09:27:33.987Z","updated_at":"2021-09-30T09:27:33.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":2748,"name":"The Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02140, USA.","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5631,"fairsharing_record_id":414,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:27:34.014Z","updated_at":"2021-09-30T09:27:34.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"415","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2021-11-24T13:14:19.881Z","metadata":{"doi":"10.25504/FAIRsharing.wd68xv","name":"Brain Region \u0026 Cell Type Terminology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de","contact_orcid":"0000-0001-8793-2692"}],"homepage":"http://bioportal.bioontology.org/ontologies/BRCT","identifier":415,"description":"The Brain Region and Cell Type terminology (BRCT) describes brain anatomy with a top-down granularity, from gross regions to cell types. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","abbreviation":"BRCT","support_links":[{"url":"http://aetionomy.scai.fhg.de/","name":"Aetionomy Project","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BRCT","name":"BRCT","portal":"BioPortal"}]},"legacy_ids":["bsg-000907","bsg-s000907"],"name":"FAIRsharing record for: Brain Region \u0026 Cell Type Terminology","abbreviation":"BRCT","url":"https://fairsharing.org/10.25504/FAIRsharing.wd68xv","doi":"10.25504/FAIRsharing.wd68xv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Brain Region and Cell Type terminology (BRCT) describes brain anatomy with a top-down granularity, from gross regions to cell types. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Neurobiology","Biomedical Science"],"domains":["Neuron","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5632,"fairsharing_record_id":415,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:34.037Z","updated_at":"2021-09-30T09:27:34.037Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"416","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T13:35:48.000Z","updated_at":"2024-05-09T09:29:00.509Z","metadata":{"doi":"10.25504/FAIRsharing.hrttzm","name":"MetaIO: MetaImage","status":"ready","contacts":[{"contact_name":"Kitware, Inc","contact_email":"kitware@kitware.com"}],"homepage":"https://itk.org/Wiki/ITK/MetaIO/Documentation","citations":[],"identifier":416,"description":"The MHA and MHD file extensions refer to a MetaImage which is part of the MetaIO standard. The MetaImage format supports multi-dimensional images and uses a tag-value text description of the metadata associated with those images. Standard metadata includes the information needed to interpret medical images: image origin, orientation, and size in physical space. This format gained popularity in its used with the Insight Segmentation and Registration Toolkit (ITK). \n* An open-source (Apache 2.0) implementation of the MetaIO standard is available as a C++ library on github: https://github.com/Kitware/MetaIO\n* Via the ITK, MetaIO is also available in javascript, python, and several other languages: https://itk.org/\n* Documentation on MetaIO is available at https://itk.org/Wiki/ITK/MetaIO/Documentation\n\n","abbreviation":"MHA/MHD","support_links":[{"url":"http://www.kitware.com/company/contact_kitware.php","type":"Contact form"},{"url":"http://www.itk.org/ITK/help/mailing.html","type":"Mailing list"},{"url":"https://twitter.com/Kitware","type":"Twitter"},{"url":"https://github.com/Kitware/MetaIO","type":"Github"}],"year_creation":1998,"associated_tools":[{"url":"https://itk.org/","name":"ITK (The Insight Toolkit)"},{"url":"https://www.slicer.org/","name":"3D Slicer"},{"url":"https://vtk.org/","name":"VTK (The Visualization Toolkit)"},{"url":"https://www.paraview.org/","name":"ParaView"}]},"legacy_ids":["bsg-000577","bsg-s000577"],"name":"FAIRsharing record for: MetaIO: MetaImage","abbreviation":"MHA/MHD","url":"https://fairsharing.org/10.25504/FAIRsharing.hrttzm","doi":"10.25504/FAIRsharing.hrttzm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MHA and MHD file extensions refer to a MetaImage which is part of the MetaIO standard. The MetaImage format supports multi-dimensional images and uses a tag-value text description of the metadata associated with those images. Standard metadata includes the information needed to interpret medical images: image origin, orientation, and size in physical space. This format gained popularity in its used with the Insight Segmentation and Registration Toolkit (ITK). \n* An open-source (Apache 2.0) implementation of the MetaIO standard is available as a C++ library on github: https://github.com/Kitware/MetaIO\n* Via the ITK, MetaIO is also available in javascript, python, and several other languages: https://itk.org/\n* Documentation on MetaIO is available at https://itk.org/Wiki/ITK/MetaIO/Documentation\n\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":3044,"relation":"applies_to_content"}],"grants":[{"id":5633,"fairsharing_record_id":416,"organisation_id":1640,"relation":"maintains","created_at":"2021-09-30T09:27:34.064Z","updated_at":"2022-12-22T18:20:20.728Z","grant_id":null,"is_lead":true,"saved_state":{"id":1640,"name":"Kitware, Inc, Clifton Park, New York, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"417","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:38:28.828Z","metadata":{"doi":"10.25504/FAIRsharing.ny6hcb","name":"Situation-Based Access Control","status":"deprecated","contacts":[{"contact_name":"Mor Peleg","contact_email":"morpeleg@is.haifa.ac.il","contact_orcid":"0000-0002-5612-768X"}],"homepage":"http://bioportal.bioontology.org/ontologies/SITBAC?p=summary","citations":[],"identifier":417,"description":"Context-based healthcare access-control policies.","abbreviation":"SitBAC","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SITBAC","name":"SITBAC","portal":"BioPortal"}],"deprecation_date":"2024-05-06","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002623","bsg-s002623"],"name":"FAIRsharing record for: Situation-Based Access Control","abbreviation":"SitBAC","url":"https://fairsharing.org/10.25504/FAIRsharing.ny6hcb","doi":"10.25504/FAIRsharing.ny6hcb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Context-based healthcare access-control policies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12442}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science"],"domains":["Data retrieval","Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":902,"pubmed_id":18511349,"title":"Situation-Based Access Control: privacy management via modeling of patient data access scenarios.","year":2008,"url":"http://doi.org/10.1016/j.jbi.2008.03.014","authors":"Peleg M,Beimel D,Dori D,Denekamp Y","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2008.03.014","created_at":"2021-09-30T08:23:59.637Z","updated_at":"2021-09-30T08:23:59.637Z"}],"licence_links":[],"grants":[{"id":5634,"fairsharing_record_id":417,"organisation_id":3061,"relation":"maintains","created_at":"2021-09-30T09:27:34.087Z","updated_at":"2021-09-30T09:27:34.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":3061,"name":"University of Haifa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"418","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T15:04:28.000Z","updated_at":"2022-02-08T10:40:52.796Z","metadata":{"doi":"10.25504/FAIRsharing.31385c","name":"PED","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#ped","identifier":418,"description":"Original standard text format for sample pedigree information and genotype calls.","abbreviation":"PED"},"legacy_ids":["bsg-001481","bsg-s001481"],"name":"FAIRsharing record for: PED","abbreviation":"PED","url":"https://fairsharing.org/10.25504/FAIRsharing.31385c","doi":"10.25504/FAIRsharing.31385c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Original standard text format for sample pedigree information and genotype calls.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["Biological sample","Genotype"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"391","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:27:38.000Z","updated_at":"2024-02-27T12:20:42.324Z","metadata":{"doi":"10.25504/FAIRsharing.30fk89","name":"Core Scientific MetaData model","status":"ready","contacts":[{"contact_name":"Brian Matthews","contact_email":"brian.matthews@stfc.ac.uk"}],"homepage":"http://icatproject-contrib.github.io/CSMD/","citations":[],"identifier":391,"description":"Capturing high level information about scientific studies and the data that they produce, the CSMD is developed to support data collected within a facility’s scientific workflow. However the model is also designed to be generic across scientific disciplines and has application beyond facilities science, particularly in the “structural sciences” (such as chemistry, material science, earth science, and biochemistry) which are concerned with analysing the structure of substances, and perform systematic experimental analyses on samples of those materials.","abbreviation":"CSMD","support_links":[{"url":"http://icatproject-contrib.github.io/CSMD/CSMD-Introduction.html","name":"CSMD: Short Introduction","type":"Github"},{"url":"http://icatproject-contrib.github.io/CSMD/csmd-4.0.html","name":"CSMD Reference Document (html)","type":"Github"},{"url":"http://icatproject-contrib.github.io/CSMD/CSMD-4.0.pdf","name":"CSMD Reference Document (pdf)","type":"Github"}],"year_creation":2010},"legacy_ids":["bsg-000705","bsg-s000705"],"name":"FAIRsharing record for: Core Scientific MetaData model","abbreviation":"CSMD","url":"https://fairsharing.org/10.25504/FAIRsharing.30fk89","doi":"10.25504/FAIRsharing.30fk89","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Capturing high level information about scientific studies and the data that they produce, the CSMD is developed to support data collected within a facility’s scientific workflow. However the model is also designed to be generic across scientific disciplines and has application beyond facilities science, particularly in the “structural sciences” (such as chemistry, material science, earth science, and biochemistry) which are concerned with analysing the structure of substances, and perform systematic experimental analyses on samples of those materials.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11719}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Biochemistry","Chemistry","Natural Science","Earth Science","Life Science","Materials Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2477,"pubmed_id":null,"title":"Using a Core Scientific Metadata Model in Large-Scale Facilities","year":2010,"url":"https://doi.org/10.2218/ijdc.v5i1.146","authors":"Brian Matthews, Shoaib Sufi, Damian Flannery, Laurent Lerusse, Tom Griffin, Michael Gleaves, Kerstin Kleese","journal":"International Journal of Digital Curation","doi":null,"created_at":"2021-09-30T08:27:03.703Z","updated_at":"2021-09-30T08:27:03.703Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":351,"relation":"undefined"}],"grants":[{"id":11426,"fairsharing_record_id":391,"organisation_id":2519,"relation":"maintains","created_at":"2024-02-27T12:17:45.973Z","updated_at":"2024-02-27T12:17:45.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"392","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-30T13:50:04.032Z","metadata":{"doi":"10.25504/FAIRsharing.9gqfpm","name":"International Harmonization of Nomenclature and Diagnostic criteria","status":"ready","homepage":"http://www.goreni.org/","identifier":392,"description":"Standard reference for nomenclature and diagnostic criteria in toxicologic pathology.","abbreviation":"INHAND","support_links":[{"url":"https://www.goreni.org/gr3_contact.php","type":"Contact form"}]},"legacy_ids":["bsg-000557","bsg-s000557"],"name":"FAIRsharing record for: International Harmonization of Nomenclature and Diagnostic criteria","abbreviation":"INHAND","url":"https://fairsharing.org/10.25504/FAIRsharing.9gqfpm","doi":"10.25504/FAIRsharing.9gqfpm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard reference for nomenclature and diagnostic criteria in toxicologic pathology.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16653}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Disease","Toxicity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","Japan","United Kingdom","United States"],"publications":[{"id":1818,"pubmed_id":20032296,"title":"Proliferative and nonproliferative lesions of the rat and mouse respiratory tract.","year":2010,"url":"http://doi.org/10.1177/0192623309353423","authors":"Renne R,Brix A,Harkema J,Herbert R,Kittel B,Lewis D,March T,Nagano K,Pino M,Rittinghausen S,Rosenbruch M,Tellier P,Wohrmann T","journal":"Toxicol Pathol","doi":"10.1177/0192623309353423","created_at":"2021-09-30T08:25:44.130Z","updated_at":"2021-09-30T08:25:44.130Z"}],"licence_links":[{"licence_name":"goRENI Data Protection","licence_id":360,"licence_url":"https://www.goreni.org/gr3_data_protection.php","link_id":391,"relation":"undefined"}],"grants":[{"id":5577,"fairsharing_record_id":392,"organisation_id":1051,"relation":"funds","created_at":"2021-09-30T09:27:32.178Z","updated_at":"2021-09-30T09:27:32.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1051,"name":"Fraunhofer Item, Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5581,"fairsharing_record_id":392,"organisation_id":1590,"relation":"funds","created_at":"2021-09-30T09:27:32.326Z","updated_at":"2021-09-30T09:27:32.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":1590,"name":"Japanese Society of Toxicologic Pathology (JSTP), Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5579,"fairsharing_record_id":392,"organisation_id":956,"relation":"funds","created_at":"2021-09-30T09:27:32.234Z","updated_at":"2021-09-30T09:27:32.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":956,"name":"European Society for Toxicologic Pathology","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5580,"fairsharing_record_id":392,"organisation_id":2587,"relation":"funds","created_at":"2021-09-30T09:27:32.276Z","updated_at":"2021-09-30T09:27:32.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":2587,"name":"Society of Toxicologic Pathology","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5582,"fairsharing_record_id":392,"organisation_id":322,"relation":"funds","created_at":"2021-09-30T09:27:32.367Z","updated_at":"2021-09-30T09:27:32.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":322,"name":"British Society of Toxicological Pathology","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11750,"fairsharing_record_id":392,"organisation_id":1051,"relation":"maintains","created_at":"2024-04-24T12:53:33.803Z","updated_at":"2024-04-24T12:53:33.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":1051,"name":"Fraunhofer Item, Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"393","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-30T15:49:56.831Z","metadata":{"doi":"10.25504/FAIRsharing.gneqg7","name":"Minimal Information about a Self-Monitoring Experiment","status":"deprecated","contacts":[{"contact_name":"Guillermo Lopez Campos","contact_email":"guillermo.lopez@unimelb.edu.au"}],"homepage":"http://healthinformatics.unimelb.edu.au/","citations":[],"identifier":393,"description":"This is reporting guideline for self-monitoring and quantified-self experiments and their use for research purposes","abbreviation":"MISME","deprecation_date":"2023-03-30","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n"},"legacy_ids":["bsg-000556","bsg-s000556"],"name":"FAIRsharing record for: Minimal Information about a Self-Monitoring Experiment","abbreviation":"MISME","url":"https://fairsharing.org/10.25504/FAIRsharing.gneqg7","doi":"10.25504/FAIRsharing.gneqg7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is reporting guideline for self-monitoring and quantified-self experiments and their use for research purposes","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Health Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Self-monitoring","Self-quantification"],"countries":["Australia"],"publications":[{"id":642,"pubmed_id":25000020,"title":"Proposal for a Standardised Reporting Guideline to Annotate Health-related Self-Quantification Experiments","year":2014,"url":"https://www.ncbi.nlm.nih.gov/pubmed/25000020","authors":"Lopez-Campos GH, Almalki M, Martin-Sanchez F","journal":"Stud Health Technol Inform.","doi":null,"created_at":"2021-09-30T08:23:30.669Z","updated_at":"2021-09-30T08:23:30.669Z"}],"licence_links":[],"grants":[{"id":5584,"fairsharing_record_id":393,"organisation_id":3090,"relation":"maintains","created_at":"2021-09-30T09:27:32.442Z","updated_at":"2021-09-30T09:27:32.442Z","grant_id":null,"is_lead":false,"saved_state":{"id":3090,"name":"University of Melbourne","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5583,"fairsharing_record_id":393,"organisation_id":2397,"relation":"maintains","created_at":"2021-09-30T09:27:32.405Z","updated_at":"2021-09-30T09:27:32.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":2397,"name":"Queen's University Belfast","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"394","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:10.153Z","metadata":{"doi":"10.25504/FAIRsharing.ny9vnm","name":"Flora Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://github.com/flora-phenotype-ontology/flopoontology","citations":[],"identifier":394,"description":"The Flora Phenotype Ontology is a domain ontology for the description of plant characters. FLOPO contains more than 25000 phenotype and traits classes, the creation of FLOPO is data-driven: For each trait/phenotype class exists a taxon annotation in the underlying Floras.","abbreviation":"FLOPO","support_links":[{"url":"leechuck@leechuck.de","name":"leechuck@leechuck.de","type":"Support email"},{"url":"monogatari99@gmail.com","name":"monogatari99@gmail.com","type":"Support email"},{"url":"Thomas.Hamann@naturalis.nl","name":"Thomas.Hamann@naturalis.nl","type":"Support email"},{"url":"george.gosline@gmail.com","name":"george.gosline@gmail.com","type":"Support email"},{"url":"quentingroom@gmail.com","name":"quentingroom@gmail.com","type":"Support email"},{"url":"https://github.com/flora-phenotype-ontology/flopoontology","name":"Github Repository","type":"Github"},{"url":"https://wiki.pro-ibiosphere.eu/wiki/Traits_Task_Group","name":"Traits Task Group","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FLOPO","name":"BioPortal: FLOPO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/flopo","name":"OLS: flopo","portal":"OLS"},{"url":"https://obofoundry.org/ontology/flopo.html","name":"OBO Foundry: flopo","portal":"OBO Foundry"},{"url":"http://agroportal.lirmm.fr/ontologies/FLOPO#:~:text=The%20Flora%20Phenotype%20Ontology%20(FLOPO,plant%20species%20found%20in%20Floras.\u0026text=The%20FLOPO%20is%20primarily%20intended,higher%20taxa%20of%20flowering%20plants.","name":"Agroportal: FLOPO","portal":"AgroPortal"}]},"legacy_ids":["bsg-000558","bsg-s000558"],"name":"FAIRsharing record for: Flora Phenotype Ontology","abbreviation":"FLOPO","url":"https://fairsharing.org/10.25504/FAIRsharing.ny9vnm","doi":"10.25504/FAIRsharing.ny9vnm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Flora Phenotype Ontology is a domain ontology for the description of plant characters. FLOPO contains more than 25000 phenotype and traits classes, the creation of FLOPO is data-driven: For each trait/phenotype class exists a taxon annotation in the underlying Floras.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Biodiversity","Plant Anatomy"],"domains":["Phenotype","Life cycle stage"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Belgium","Germany","Netherlands","Saudi Arabia","United Kingdom"],"publications":[{"id":896,"pubmed_id":25057255,"title":"Enriched biodiversity data as a resource and service.","year":2014,"url":"http://doi.org/10.3897/BDJ.2.e1125","authors":"Vos RA,Biserkov JV,Balech B,Beard N,Blissett M,Brenninkmeijer C,van Dooren T,Eades D,Gosline G,Groom QJ,Hamann TD,Hettling H,Hoehndorf R,Holleman A,Hovenkamp P,Kelbert P,King D,Kirkup D,Lammers Y,DeMeulemeester T,Mietchen D,Miller JA,Mounce R,Nicolson N,Page R,Pawlik A,Pereira S,Penev L,Richards K,Sautter G,Shorthouse DP,Tahtinen M,Weiland C,Williams AR,Sierra S","journal":"Biodivers Data J","doi":"10.3897/BDJ.2.e1125","created_at":"2021-09-30T08:23:59.014Z","updated_at":"2021-09-30T08:23:59.014Z"},{"id":1817,"pubmed_id":27842607,"title":"The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0107-8","authors":"Hoehndorf R,Alshahrani M,Gkoutos GV,Gosline G,Groom Q,Hamann T,Kattge J,de Oliveira SM,Schmidt M,Sierra S,Smets E,Vos RA,Weiland C","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0107-8","created_at":"2021-09-30T08:25:43.972Z","updated_at":"2021-09-30T08:25:43.972Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1813,"relation":"undefined"}],"grants":[{"id":5585,"fairsharing_record_id":394,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:32.485Z","updated_at":"2021-09-30T09:31:23.476Z","grant_id":1148,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS-1340112","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5589,"fairsharing_record_id":394,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:32.620Z","updated_at":"2021-09-30T09:31:44.102Z","grant_id":1303,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/J004464/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5588,"fairsharing_record_id":394,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:32.596Z","updated_at":"2021-09-30T09:30:26.102Z","grant_id":709,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HI 1538/2-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5586,"fairsharing_record_id":394,"organisation_id":2368,"relation":"funds","created_at":"2021-09-30T09:27:32.526Z","updated_at":"2021-09-30T09:31:08.874Z","grant_id":1039,"is_lead":false,"saved_state":{"id":2368,"name":"Pro-iBiosphere project, European Commission FP7","grant":"312848","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5587,"fairsharing_record_id":394,"organisation_id":2333,"relation":"funds","created_at":"2021-09-30T09:27:32.564Z","updated_at":"2021-09-30T09:31:52.344Z","grant_id":1365,"is_lead":false,"saved_state":{"id":2333,"name":"Plant Phenotyping Network, European Commission FP7","grant":"284443","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"395","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:19.568Z","metadata":{"doi":"10.25504/FAIRsharing.cfhbvn","name":"Observ-Tab","status":"deprecated","homepage":"http://wiki.gcc.rug.nl/wiki/ObservStart","citations":[{"doi":"10.1002/humu.22070","pubmed_id":22416047,"publication_id":905}],"identifier":395,"description":"Observ-Tab is the tabular exchange format for Observ-OM. Observ-OM is a model to capture 'any' phenotype observation lead by ​EU-GEN2PHEN. Its purpose is to store individual and summary level observations in a uniform way to enable harmonization and interoperability of phenotypic and genotypic data across human genetics, model organisms and biobanks.","abbreviation":"Observ-Tab","year_creation":2011,"deprecation_date":"2019-09-24","deprecation_reason":"This resource has been deprecated, though remains available for reference purposes."},"legacy_ids":["bsg-000554","bsg-s000554"],"name":"FAIRsharing record for: Observ-Tab","abbreviation":"Observ-Tab","url":"https://fairsharing.org/10.25504/FAIRsharing.cfhbvn","doi":"10.25504/FAIRsharing.cfhbvn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Observ-Tab is the tabular exchange format for Observ-OM. Observ-OM is a model to capture 'any' phenotype observation lead by ​EU-GEN2PHEN. Its purpose is to store individual and summary level observations in a uniform way to enable harmonization and interoperability of phenotypic and genotypic data across human genetics, model organisms and biobanks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["Model organism","Biobank","Phenotype","Genotype"],"taxonomies":["All","Homo sapiens"],"user_defined_tags":[],"countries":["Finland","Netherlands","United Kingdom"],"publications":[{"id":905,"pubmed_id":22416047,"title":"Observ-OM and Observ-TAB: Universal syntax solutions for the integration, search, and exchange of phenotype and genotype information.","year":2012,"url":"http://doi.org/10.1002/humu.22070","authors":"Adamusiak T,Parkinson H,Muilu J,Roos E,van der Velde KJ,Thorisson GA,Byrne M,Pang C,Gollapudi S,Ferretti V,Hillege H,Brookes AJ,Swertz MA","journal":"Hum Mutat","doi":"10.1002/humu.22070","created_at":"2021-09-30T08:23:59.938Z","updated_at":"2021-09-30T08:23:59.938Z"}],"licence_links":[],"grants":[{"id":5592,"fairsharing_record_id":395,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:32.714Z","updated_at":"2021-09-30T09:27:32.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5590,"fairsharing_record_id":395,"organisation_id":3059,"relation":"maintains","created_at":"2021-09-30T09:27:32.646Z","updated_at":"2021-09-30T09:27:32.646Z","grant_id":null,"is_lead":true,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5591,"fairsharing_record_id":395,"organisation_id":220,"relation":"funds","created_at":"2021-09-30T09:27:32.675Z","updated_at":"2021-09-30T09:32:42.771Z","grant_id":1744,"is_lead":false,"saved_state":{"id":220,"name":"Biobanking and Biomolecular Resources Research Infrastructure (BBMRI), The Netherlands","grant":"BBMRI-NL RP-2","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"396","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-05T09:06:34.904Z","metadata":{"doi":"10.25504/FAIRsharing.e01rsf","name":"Standard Preanalytical Code","status":"ready","contacts":[{"contact_name":"Fotini Betsou","contact_email":"fay.betsou@ibbl.org"},{"contact_name":"General Contact","contact_email":"info@isber.org","contact_orcid":null}],"homepage":"https://www.isber.org/page/sprec","citations":[{"doi":"10.1089/bio.2012.0012","pubmed_id":24849886,"publication_id":1821}],"identifier":396,"description":"Standard Preanalytical Code (SPREC) identifies and records the main pre-analytical factors that may have impact on the integrity of sampled clinical fluids and solid biospecimens and their simple derivatives during collection, processing and storage. SPREC comprises 7 elements for both fluid and solid samples, defining the sample and primary container type, periods of cold and warm ischemia, and subsequent handling steps including speed and temperature of centrifugation and final storage temperature.","abbreviation":"SPREC","support_links":[{"url":"https://c.ymcdn.com/sites/isber.site-ym.com/resource/resmgr/sprecalcreleasenotes_v1.0.pdf","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-000549","bsg-s000549"],"name":"FAIRsharing record for: Standard Preanalytical Code","abbreviation":"SPREC","url":"https://fairsharing.org/10.25504/FAIRsharing.e01rsf","doi":"10.25504/FAIRsharing.e01rsf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard Preanalytical Code (SPREC) identifies and records the main pre-analytical factors that may have impact on the integrity of sampled clinical fluids and solid biospecimens and their simple derivatives during collection, processing and storage. SPREC comprises 7 elements for both fluid and solid samples, defining the sample and primary container type, periods of cold and warm ischemia, and subsequent handling steps including speed and temperature of centrifugation and final storage temperature.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11042},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12085},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16966}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Biological sample annotation","Biobank","Quality control","Biological sample"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","France","Italy","Luxembourg","United Kingdom","United States"],"publications":[{"id":1820,"pubmed_id":20332280,"title":"Standard preanalytical coding for biospecimens: defining the sample PREanalytical code","year":2010,"url":"http://doi.org/10.1158/1055-9965.EPI-09-1268","authors":"Betsou F, Lehmann S, Ashton G, Barnes M, Benson EE, Coppola D, DeSouza Y, Eliason J, Glazer B, Guadagni F, Harding K, Horsfall DJ, Kleeberger C, Nanni U, Prasad A, Shea K, Skubitz A, Somiari S, Gunter E; International Society for Biological and Environmental Repositories (ISBER) Working Group on Biospecimen Science","journal":"Cancer Epidemiol Biomarkers Prev","doi":"10.1158/1055-9965.EPI-09-1268","created_at":"2021-09-30T08:25:44.406Z","updated_at":"2021-09-30T08:25:44.406Z"},{"id":1821,"pubmed_id":24849886,"title":"Standard preanalytical coding for biospecimens: review and implementation of the Sample PREanalytical Code (SPREC).","year":2012,"url":"http://doi.org/10.1089/bio.2012.0012","authors":"Lehmann S,Guadagni F,Moore H,Ashton G,Barnes M,Benson E,Clements J,Koppandi I,Coppola D,Demiroglu SY,DeSouza Y,De Wilde A,Duker J,Eliason J,Glazer B,Harding K,Jeon JP,Kessler J,Kokkat T,Nanni U,Shea K,Skubitz A,Somiari S,Tybring G,Gunter E,Betsou F","journal":"Biopreserv Biobank","doi":"10.1089/bio.2012.0012","created_at":"2021-09-30T08:25:44.514Z","updated_at":"2021-09-30T08:25:44.514Z"}],"licence_links":[],"grants":[{"id":5594,"fairsharing_record_id":396,"organisation_id":1517,"relation":"maintains","created_at":"2021-09-30T09:27:32.780Z","updated_at":"2021-09-30T09:27:32.780Z","grant_id":null,"is_lead":false,"saved_state":{"id":1517,"name":"International Society for Biological and Environmental Repositories (ISBER), Vancouver, BC, Canada.","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5593,"fairsharing_record_id":396,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:32.747Z","updated_at":"2021-09-30T09:32:45.605Z","grant_id":1765,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P30 AI027763","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--42523738af8f1fc3c2d0d5f55190812e255fd034/SubPageBanner_v022.jpg?disposition=inline","exhaustive_licences":false}},{"id":"388","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T15:43:30.000Z","updated_at":"2024-03-21T13:57:58.313Z","metadata":{"doi":"10.25504/FAIRsharing.47tk7z","name":"MIAPE: Capillary Electrophoresis","status":"ready","contacts":[],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":388,"description":"“MIAPE – Capillary Electrophoresis” (MIAPE-CE) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CE module is the result of a coordinaded effort between a consortia of CE researchers working in proteomics field. It has been designed to specify a minimal set of information to document a CE experiment.","abbreviation":"MIAPE-CE","support_links":[{"url":"psi-mi@ebi.ac.uk","type":"Support email"}],"year_creation":2008},"legacy_ids":["bsg-000612","bsg-s000612"],"name":"FAIRsharing record for: MIAPE: Capillary Electrophoresis","abbreviation":"MIAPE-CE","url":"https://fairsharing.org/10.25504/FAIRsharing.47tk7z","doi":"10.25504/FAIRsharing.47tk7z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: “MIAPE – Capillary Electrophoresis” (MIAPE-CE) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CE module is the result of a coordinaded effort between a consortia of CE researchers working in proteomics field. It has been designed to specify a minimal set of information to document a CE experiment.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11444},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12062}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Assay","Electrophoresis","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Japan","Spain","United Kingdom","United States","European Union"],"publications":[{"id":810,"pubmed_id":20622828,"title":"Guidelines for reporting the use of capillary electrophoresis in proteomics.","year":2010,"url":"http://doi.org/10.1038/nbt0710-654b","authors":"Domann PJ,Akashi S,Barbas C,Huang L,Lau W,Legido-Quigley C,McClean S,Neususs C,Perrett D,Quaglia M,Rapp E,Smallshaw L,Smith NW,Smyth WF,Taylor CF","journal":"Nat Biotechnol","doi":"10.1038/nbt0710-654b","created_at":"2021-09-30T08:23:49.373Z","updated_at":"2021-09-30T08:23:49.373Z"}],"licence_links":[],"grants":[{"id":5574,"fairsharing_record_id":388,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:32.103Z","updated_at":"2021-09-30T09:27:32.103Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":11521,"fairsharing_record_id":388,"organisation_id":3609,"relation":"funds","created_at":"2024-03-21T13:57:57.977Z","updated_at":"2024-03-21T13:57:57.977Z","grant_id":null,"is_lead":false,"saved_state":{"id":3609,"name":"Human Proteome Organization","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ01EIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e02994dee9825df16f19924532c21d19148940bf/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"389","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-03T09:54:03.787Z","metadata":{"doi":"10.25504/FAIRsharing.wdrf9x","name":"MIAPE: Mass Spectrometry Quantification","status":"ready","contacts":[{"contact_name":"Salvador Martínez-Bartolomé","contact_email":"smartinez@cnb.csic.es","contact_orcid":"0000-0001-7592-5612"}],"homepage":"https://www.psidev.info/groups/miape","citations":[],"identifier":389,"description":"This module identifies the minimum information required to report the use of quantification techniques in a proteomics experiment, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the results of the data analysis.","abbreviation":"MIAPE-Quant","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"Psidev-pi-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"http://www.psidev.info/sites/default/files/MIAPE_Quant_v1.0_Final_0.pdf","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000516","bsg-s000516"],"name":"FAIRsharing record for: MIAPE: Mass Spectrometry Quantification","abbreviation":"MIAPE-Quant","url":"https://fairsharing.org/10.25504/FAIRsharing.wdrf9x","doi":"10.25504/FAIRsharing.wdrf9x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report the use of quantification techniques in a proteomics experiment, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the results of the data analysis.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11438},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12034}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Quantification","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Spain","Switzerland","United Kingdom","United States"],"publications":[{"id":1433,"pubmed_id":23500130,"title":"Guidelines for reporting quantitative mass spectrometry based experiments in proteomics.","year":2013,"url":"http://doi.org/10.1016/j.jprot.2013.02.026","authors":"Martinez-Bartolome S, Deutsch EW, Binz PA, Jones AR, Eisenacher M, Mayer G, Campos A, Canals F, Bech-Serra JJ, Carrascal M, Gay M, Paradela A, Navajas R, Marcilla M, Hernaez ML, Gutierrez-Blazquez MD, Velarde LF, Aloria K, Beaskoetxea J, Medina-Aunon JA, Albar JP.","journal":"Journal of Proteomics","doi":"10.1016/j.jprot.2013.02.026","created_at":"2021-09-30T08:25:00.232Z","updated_at":"2021-09-30T08:25:00.232Z"}],"licence_links":[],"grants":[{"id":5575,"fairsharing_record_id":389,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:32.127Z","updated_at":"2023-10-03T09:28:33.388Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"390","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-02-07T09:22:13.137Z","metadata":{"doi":"10.25504/FAIRsharing.s0jj2t","name":"Minimum Information About BIobank data Sharing","status":"ready","contacts":[{"contact_name":"Roxana Merino-Martinez","contact_email":"roxana.martinez@ki.se","contact_orcid":"0000-0002-8939-0003"}],"homepage":"http://bbmri-wiki.wikidot.com/en:dataset","identifier":390,"description":"MIABIS represents the minimum information required to initiate collaborations between biobanks and to enable the exchange of biological samples and data. The aim is to facilitate the reuse of bio-resources and associated data by harmonizing biobanking and biomedical research.","abbreviation":"MIABIS","support_links":[{"url":"https://github.com/MIABIS/miabis/wiki/Database-implementation","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-000553","bsg-s000553"],"name":"FAIRsharing record for: Minimum Information About BIobank data Sharing","abbreviation":"MIABIS","url":"https://fairsharing.org/10.25504/FAIRsharing.s0jj2t","doi":"10.25504/FAIRsharing.s0jj2t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIABIS represents the minimum information required to initiate collaborations between biobanks and to enable the exchange of biological samples and data. The aim is to facilitate the reuse of bio-resources and associated data by harmonizing biobanking and biomedical research.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17342},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18285},{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17648},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12039}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Biobank"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Finland","Germany","Netherlands","Sweden"],"publications":[{"id":1799,"pubmed_id":26977825,"title":"Toward Global Biobank Integration by Implementation of the Minimum Information About BIobank Data Sharing (MIABIS 2.0 Core).","year":2016,"url":"http://doi.org/10.1089/bio.2015.0070","authors":"Merino-Martinez R,Norlin L,van Enckevort D,Anton G,Schuffenhauer S,Silander K,Mook L,Holub P,Bild R,Swertz M,Litton JE","journal":"Biopreserv Biobank","doi":"10.1089/bio.2015.0070","created_at":"2021-09-30T08:25:41.980Z","updated_at":"2021-09-30T08:25:41.980Z"},{"id":1800,"pubmed_id":24849882,"title":"A Minimum Data Set for Sharing Biobank Samples, Information, and Data: MIABIS.","year":2012,"url":"http://doi.org/10.1089/bio.2012.0003","authors":"Norlin L,Fransson MN,Eriksson M,Merino-Martinez R,Anderberg M,Kurtovic S,Litton JE","journal":"Biopreserv Biobank","doi":"10.1089/bio.2012.0003","created_at":"2021-09-30T08:25:42.088Z","updated_at":"2021-09-30T08:25:42.088Z"}],"licence_links":[],"grants":[{"id":5576,"fairsharing_record_id":390,"organisation_id":182,"relation":"maintains","created_at":"2021-09-30T09:27:32.154Z","updated_at":"2021-09-30T09:27:32.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":182,"name":"BBMRI-ERIC national nodes, Graz, Austria","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"384","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-01T10:38:08.630Z","metadata":{"doi":"10.25504/FAIRsharing.wkdjpb","name":"Gazetteer","status":"uncertain","contacts":[{"contact_name":"Lynn Schriml","contact_email":"lschriml@som.umaryland.edu","contact_orcid":null}],"homepage":"http://environmentontology.github.io/gaz/","citations":[],"identifier":384,"description":"A controlled vocabulary following ontological rules that describes named geographical locations. GAZ represents a first step towards an open source gazetteer, constructed on ontological principles, that describes places and place names and the relations between them.","abbreviation":"GAZ","support_links":[{"url":"https://github.com/EnvironmentOntology/gaz/issues","name":"GitHub Issue Tracker","type":"Contact form"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GAZ","name":"GAZ","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/gaz.html","name":"gaz","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002636","bsg-s002636"],"name":"FAIRsharing record for: Gazetteer","abbreviation":"GAZ","url":"https://fairsharing.org/10.25504/FAIRsharing.wkdjpb","doi":"10.25504/FAIRsharing.wkdjpb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary following ontological rules that describes named geographical locations. GAZ represents a first step towards an open source gazetteer, constructed on ontological principles, that describes places and place names and the relations between them.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11856}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science"],"domains":["Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2769,"relation":"applies_to_content"}],"grants":[{"id":5564,"fairsharing_record_id":384,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:31.853Z","updated_at":"2021-09-30T09:27:31.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"385","type":"fairsharing_records","attributes":{"created_at":"2018-04-04T13:30:56.000Z","updated_at":"2022-04-11T12:07:33.717Z","metadata":{"doi":"10.25504/FAIRsharing.pg4NHk","name":"Open Metadata Markup Language","status":"ready","contacts":[{"contact_name":"Thomas Wachtler","contact_email":"info@g-node.org","contact_orcid":"0000-0003-2015-6590"}],"homepage":"https://github.com/G-Node/python-odml/wiki","identifier":385,"description":"odML is a format to collect and share metadata in an organized, human- and machine-readable way. The format specifies a hierarchical structure for storing arbitrary metadata as extended key-value pairs. It is inherently extensible and can be adapted flexibly to the specific requirements of any laboratory. Developed within the Neuroinformatics community, it is a generic format intended for all types of data.","abbreviation":"odML","support_links":[{"url":"https://g-node.github.io/python-odml/","name":"odML Tutorial","type":"Github"},{"url":"https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001376/resolver?q=*\u0026l=","name":"SciCrunch Registry odML record","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"https://github.com/G-Node/python-odml/releases/latest","name":"python-odml LIbrary latest"},{"url":"https://github.com/G-Node/odml-ui/releases/latest","name":"odML Editor latest"},{"url":"https://github.com/INM-6/python-odmltables/releases/latest","name":"odmlTables latest"}]},"legacy_ids":["bsg-001168","bsg-s001168"],"name":"FAIRsharing record for: Open Metadata Markup Language","abbreviation":"odML","url":"https://fairsharing.org/10.25504/FAIRsharing.pg4NHk","doi":"10.25504/FAIRsharing.pg4NHk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: odML is a format to collect and share metadata in an organized, human- and machine-readable way. The format specifies a hierarchical structure for storing arbitrary metadata as extended key-value pairs. It is inherently extensible and can be adapted flexibly to the specific requirements of any laboratory. Developed within the Neuroinformatics community, it is a generic format intended for all types of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics"],"countries":["Germany"],"publications":[{"id":2269,"pubmed_id":21941477,"title":"A Bottom-up Approach to Data Annotation in Neurophysiology.","year":2011,"url":"http://doi.org/10.3389/fninf.2011.00016","authors":"Grewe J,Wachtler T,Benda J","journal":"Front Neuroinform","doi":"10.3389/fninf.2011.00016","created_at":"2021-09-30T08:26:36.355Z","updated_at":"2021-09-30T08:26:36.355Z"}],"licence_links":[{"licence_name":"BSD 4-Clause \"Original\" or \"Old\" License","licence_id":89,"licence_url":"https://spdx.org/licenses/BSD-4-Clause.html","link_id":2342,"relation":"undefined"},{"licence_name":"odML-Specific BSD License","licence_id":611,"licence_url":"https://github.com/G-Node/python-odml/blob/master/LICENSE","link_id":2341,"relation":"undefined"}],"grants":[{"id":5566,"fairsharing_record_id":385,"organisation_id":1730,"relation":"maintains","created_at":"2021-09-30T09:27:31.903Z","updated_at":"2021-09-30T09:27:31.903Z","grant_id":null,"is_lead":false,"saved_state":{"id":1730,"name":"Ludwig-Maximilians-Universitt Mnchen, Department Biologie II, Division of Neurobiology, Munich, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9344,"fairsharing_record_id":385,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.843Z","updated_at":"2022-04-11T12:07:31.860Z","grant_id":1519,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ1302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9349,"fairsharing_record_id":385,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.245Z","updated_at":"2022-04-11T12:07:32.261Z","grant_id":1588,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ0802","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9369,"fairsharing_record_id":385,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.689Z","updated_at":"2022-04-11T12:07:33.706Z","grant_id":1587,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ0801","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"386","type":"fairsharing_records","attributes":{"created_at":"2015-08-14T11:44:26.000Z","updated_at":"2022-06-13T10:06:17.741Z","metadata":{"doi":"10.25504/FAIRsharing.qk984b","name":"The Observational Medical Outcomes Partnership Common Data Model","status":"ready","contacts":[{"contact_name":"David Madigan","contact_email":"david.madigan@columbia.edu","contact_orcid":"0000-0001-9754-1011"},{"contact_name":"Clair Blacketer (OHDSI Teams Tenet)","contact_email":"mblacke@its.jnj.com","contact_orcid":null}],"homepage":"https://www.ohdsi.org/data-standardization/the-common-data-model/","citations":[],"identifier":386,"description":"The The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) allows for the systematic analysis of disparate observational databases for standardizing the format and content of the observational data, standardized applications (tools and methods) can be applied across databases implementing a common data model format (data model) and/or a common representation data model using variable terminologies, vocabularies, and coding schemes. The OMOP CDM can accommodate both administrative claims and EHR applications for allowing users to generate evidence from a wide variety of data sources, supporting both collaborative research across data sources both within and outside the United States in a manageable format suitable for both data owners and data users.","abbreviation":"OMOP CDM","support_links":[{"url":"contact@ohdsi.org","type":"Support email"},{"url":"http://www.ohdsi.org/who-we-are/frequently-asked-questions/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://forums.ohdsi.org/c/developers","name":"CDM Developer Forum - Discussion on open-source development of OHDSI applications and other tools that leverage the OMOP CDM.","type":"Forum"},{"url":"http://75.101.131.161/download/loadfile.php?docname=CDM%20Specification%20V4.0","type":"Help documentation"},{"url":"https://twitter.com/OHDSI","type":"Twitter"},{"url":"https://ohdsi.github.io/CommonDataModel/","type":"Help documentation"},{"url":"https://forums.ohdsi.org/c/cdm-builders/9/l/latest","name":"CDM Builder Forum - Discussion of ongoing CDM development, including requirements, vocabulary, and technical aspects.","type":"Forum"},{"url":"https://github.com/OHDSI/CommonDataModel","name":"OMOP Common Data Model on GitHub","type":"Github"},{"url":"https://ohdsi.github.io/CommonDataModel/","name":"OMOP Common Data Model \"Read the Docs\"","type":"Github"},{"url":"https://ohdsi.github.io/TheBookOfOhdsi/","name":"The Book of OHDSI","type":"Github"},{"url":"https://github.com/OHDSI/CommonDataModel/tree/v5.4.0/inst/ddl/5.4","name":"SQL DDLs","type":"Github"},{"url":"http://www.ltscomputingllc.com/downloads/","name":"Latest CDM Version Download","type":"Help documentation"},{"url":"https://forms.office.com/Pages/ResponsePage.aspx?id=lAAPoyCRq0q6TOVQkCOy1ZyG6Ud_r2tKuS0HcGnqiQZUOVJFUzBFWE1aSVlLN0ozR01MUVQ4T0RGNyQlQCN0PWcu","name":"Join the CDM Working Group","type":"Contact form"},{"url":"https://docs.google.com/document/d/1WgKePjrI_cGdqn2XQCe1JdGaTzdMqU4p5ihkMt8fcAc/edit?usp=sharing","name":"CDM WG Working Agenda","type":"Other"},{"url":"https://drive.google.com/open?id=1DaNKe6ivIAZPJeI31VJ-pzNB9wS9hDqu","name":"CDM WG Google Drive Resources","type":"Other"},{"url":"https://www.ohdsi.org/web/wiki/doku.php?id=documentation:vocabulary:sidebar","name":"Standardized Vocabularies","type":"Help documentation"},{"url":"https://github.com/OHDSI/CommonDataModel/tree/master#readme","name":"Link to ReadMe for instructions on how to use the R package","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"https://ohdsi.github.io/Hades/","name":"OHDSI Tool Suite"}]},"legacy_ids":["bsg-000614","bsg-s000614"],"name":"FAIRsharing record for: The Observational Medical Outcomes Partnership Common Data Model","abbreviation":"OMOP CDM","url":"https://fairsharing.org/10.25504/FAIRsharing.qk984b","doi":"10.25504/FAIRsharing.qk984b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) allows for the systematic analysis of disparate observational databases for standardizing the format and content of the observational data, standardized applications (tools and methods) can be applied across databases implementing a common data model format (data model) and/or a common representation data model using variable terminologies, vocabularies, and coding schemes. The OMOP CDM can accommodate both administrative claims and EHR applications for allowing users to generate evidence from a wide variety of data sources, supporting both collaborative research across data sources both within and outside the United States in a manageable format suitable for both data owners and data users.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17326},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12480}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Data Governance","Health Science","Preclinical Studies"],"domains":["Electronic health record","Safety study","Observation design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":807,"pubmed_id":null,"title":"A Systematic Statistical Approach to Evaluating Evidence from Observational Studies","year":2014,"url":"http://doi.org/10.1146/annurev-statistics-022513-115645","authors":"David Madigan, Paul E. Stang, Jesse A. Berlin, Martijn Schuemie, J. Marc Overhage, Marc A. Suchard, Bill Dumouchel, Abraham G. Hartzema, and Patrick B. Ryan","journal":"Annual Review of Statistics and Its Application","doi":"10.1146/annurev-statistics-022513-115645","created_at":"2021-09-30T08:23:49.004Z","updated_at":"2021-09-30T08:23:49.004Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":96,"relation":"undefined"}],"grants":[{"id":5569,"fairsharing_record_id":386,"organisation_id":127,"relation":"funds","created_at":"2021-09-30T09:27:31.977Z","updated_at":"2021-09-30T09:27:31.977Z","grant_id":null,"is_lead":false,"saved_state":{"id":127,"name":"AstraZeneca","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":5568,"fairsharing_record_id":386,"organisation_id":2409,"relation":"funds","created_at":"2021-09-30T09:27:31.953Z","updated_at":"2021-09-30T09:27:31.953Z","grant_id":null,"is_lead":false,"saved_state":{"id":2409,"name":"Reagan-Udall Foundation for the FDA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5570,"fairsharing_record_id":386,"organisation_id":1355,"relation":"maintains","created_at":"2021-09-30T09:27:32.003Z","updated_at":"2021-09-30T09:27:32.003Z","grant_id":null,"is_lead":false,"saved_state":{"id":1355,"name":"Innovation in Medical Evidence Development and Surveillance (IMEDS) Program, Reagan-Udall Foundation, Washington, DC, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":12030,"fairsharing_record_id":386,"organisation_id":2212,"relation":"maintains","created_at":"2024-07-08T14:51:34.075Z","updated_at":"2024-07-08T14:51:34.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2212,"name":"Observational Health Data Sciences and Informatics","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"387","type":"fairsharing_records","attributes":{"created_at":"2016-05-26T14:45:56.000Z","updated_at":"2021-11-24T13:16:25.006Z","metadata":{"doi":"10.25504/FAIRsharing.384x47","name":"International transfer format for botanic garden plant records","status":"deprecated","homepage":"https://github.com/tdwg/prior-standards/tree/master/itf2","identifier":387,"description":"The International Transfer Format for Botanic Garden Plant Records, version 2 (ITF2) was developed in response to requests from Botanic Gardens to incorporate additional data fields for transfer within the Botanic Gardens and allow for a more flexible transfer format than the original transfer format outlined in ITF version 01.00. It is biased towards 'Conservation Type Data Fields', but incorporates a procedure allowing for additional data fields to be identified and exchanged between gardens. It is because of this flexibility that it is believed that the ITF2 will remain relevant to Botanic Gardens for a long time despite the rapid change in information system technology in recent years.","abbreviation":"ITF2","year_creation":1987,"deprecation_date":"2016-05-26","deprecation_reason":"This standard is listed as 'prior' on the TWDG website (http://www.tdwg.org/standards/)"},"legacy_ids":["bsg-000670","bsg-s000670"],"name":"FAIRsharing record for: International transfer format for botanic garden plant records","abbreviation":"ITF2","url":"https://fairsharing.org/10.25504/FAIRsharing.384x47","doi":"10.25504/FAIRsharing.384x47","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Transfer Format for Botanic Garden Plant Records, version 2 (ITF2) was developed in response to requests from Botanic Gardens to incorporate additional data fields for transfer within the Botanic Gardens and allow for a more flexible transfer format than the original transfer format outlined in ITF version 01.00. It is biased towards 'Conservation Type Data Fields', but incorporates a procedure allowing for additional data fields to be identified and exchanged between gardens. It is because of this flexibility that it is believed that the ITF2 will remain relevant to Botanic Gardens for a long time despite the rapid change in information system technology in recent years.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12282}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5572,"fairsharing_record_id":387,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:27:32.053Z","updated_at":"2021-09-30T09:27:32.053Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"399","type":"fairsharing_records","attributes":{"created_at":"2017-09-25T14:49:39.000Z","updated_at":"2023-10-23T07:51:44.413Z","metadata":{"doi":"10.25504/FAIRsharing.anpj91","name":"AGROVOC","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"agrovoc@fao.org"}],"homepage":"http://www.fao.org/agrovoc/","citations":[{"doi":"https://doi.org/10.4060/cb2838en","pubmed_id":null,"publication_id":3154}],"identifier":399,"description":"AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts. AGROVOC consists of over 41,000 concepts available in up to 42 languages. AGROVOC uses semantic web technologies, linking to other multilingual knowledge organization systems and building bridges between datasets. Your library can use AGROVOC to index its documents or datasets, or you can use it from inside your content management system (e.g., Drupal) to organize your documents or web site. You can also use AGROVOC as an hub to access many other vocabularies available on the web. To date, AGROVOC is used by researchers, librarians and information managers for indexing, retrieving and organizing data in agricultural information systems and Web pages. Currently, AGROVOC is an SKOS-XL concept scheme and a Linked Open Data (LOD*) set aligned with over 20 other multilingual knowledge organization systems related to agriculture. You may browse AGROVOC, access its Web Services or SPARQL endpoint.","abbreviation":"AGROVOC","support_links":[{"url":"https://dgroups.org/fao/agrovoc/join","name":"AGROVOC News mailing list","type":"Mailing list"},{"url":"https://en.wikipedia.org/wiki/AGROVOC","name":"Wikipedia","type":"Wikipedia"},{"url":"http://www.fao.org/agrovoc/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/FAOAIMS","name":"@FAOAIMS","type":"Twitter"},{"url":"https://www.fao.org/3/cb8640en/cb8640en.pdf","name":"AGROVOC Editorial Guidelines, Second edition","type":"Help documentation"},{"url":"https://www.fao.org/3/cb2838en/CB2838EN.pdf","name":"AGROVOC Semantic data interoperability on food and agriculture","type":"Help documentation"},{"url":"https://www.fao.org/agrovoc/news","type":"Blog/News"}],"year_creation":1980,"cross_references":[{"url":"http://agroportal.lirmm.fr/ontologies/AGROVOC","name":"AgroPortal:AGROVOC","portal":"AgroPortal"}]},"legacy_ids":["bsg-000720","bsg-s000720"],"name":"FAIRsharing record for: AGROVOC","abbreviation":"AGROVOC","url":"https://fairsharing.org/10.25504/FAIRsharing.anpj91","doi":"10.25504/FAIRsharing.anpj91","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts. AGROVOC consists of over 41,000 concepts available in up to 42 languages. AGROVOC uses semantic web technologies, linking to other multilingual knowledge organization systems and building bridges between datasets. Your library can use AGROVOC to index its documents or datasets, or you can use it from inside your content management system (e.g., Drupal) to organize your documents or web site. You can also use AGROVOC as an hub to access many other vocabularies available on the web. To date, AGROVOC is used by researchers, librarians and information managers for indexing, retrieving and organizing data in agricultural information systems and Web pages. Currently, AGROVOC is an SKOS-XL concept scheme and a Linked Open Data (LOD*) set aligned with over 20 other multilingual knowledge organization systems related to agriculture. You may browse AGROVOC, access its Web Services or SPARQL endpoint.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Fisheries Science","Environmental Science","Forest Management","Data Management","Agriculture","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":["thesaurus"],"countries":["Worldwide"],"publications":[{"id":576,"pubmed_id":null,"title":"The AGROVOC Linked Dataset","year":2013,"url":"http://www.semantic-web-journal.net/system/files/swj274_1.pdf","authors":"Caracciolo C., Stellato A., Morshed A., Johannsen G., Rajbhandari S., Jaques Y., Keizer J.","journal":"Semantic Web Journal","doi":null,"created_at":"2021-09-30T08:23:23.043Z","updated_at":"2021-09-30T08:23:23.043Z"},{"id":3152,"pubmed_id":null,"title":"How Agricultural Digital Innovation Can Benefit from Semantics: The Case of the AGROVOC Multilingual Thesaurus","year":2021,"url":"https://www.mdpi.com/2673-4591/9/1/17","authors":"Esther Mietzsch, Daniel Martini, Kristin Kolshus ,Andrea Turbati and Imma Subirats","journal":"Engineering Proceedings","doi":"https://doi.org/10.3390/engproc2021009017","created_at":"2021-12-10T09:53:59.393Z","updated_at":"2021-12-10T09:53:59.393Z"},{"id":3154,"pubmed_id":null,"title":"AGROVOC – Semantic data interoperability on food and agriculture","year":2021,"url":"https://www.fao.org/3/cb2838en/CB2838EN.pdf","authors":"FAO","journal":"FAO","doi":"https://doi.org/10.4060/cb2838en","created_at":"2021-12-10T09:55:15.631Z","updated_at":"2021-12-10T09:55:15.631Z"},{"id":3312,"pubmed_id":null,"title":"AGROVOC: The linked data concept hub for food and agriculture","year":2022,"url":"http://dx.doi.org/10.1016/j.compag.2020.105965","authors":"Subirats-Coll, Imma; Kolshus, Kristin; Turbati, Andrea; Stellato, Armando; Mietzsch, Esther; Martini, Daniel; Zeng, Marcia; ","journal":"Computers and Electronics in Agriculture","doi":"10.1016/j.compag.2020.105965","created_at":"2022-04-13T13:35:49.425Z","updated_at":"2022-04-13T13:35:49.425Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 IGO (CC BY 3.0 IGO)","licence_id":164,"licence_url":"https://creativecommons.org/licenses/by/3.0/igo/","link_id":2222,"relation":"undefined"}],"grants":[{"id":5602,"fairsharing_record_id":399,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:27:33.099Z","updated_at":"2021-09-30T09:27:33.099Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"400","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T14:50:51.000Z","updated_at":"2022-02-08T10:40:51.064Z","metadata":{"doi":"10.25504/FAIRsharing.d0886a","name":"FAM","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#fam","identifier":400,"description":"A sample information file accompanying a .bed binary genotype table.","abbreviation":"FAM"},"legacy_ids":["bsg-001480","bsg-s001480"],"name":"FAIRsharing record for: FAM","abbreviation":"FAM","url":"https://fairsharing.org/10.25504/FAIRsharing.d0886a","doi":"10.25504/FAIRsharing.d0886a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A sample information file accompanying a .bed binary genotype table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["Biological sample","Phenotype"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"401","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:17:24.078Z","metadata":{"doi":"10.25504/FAIRsharing.1ctakh","name":"Mathematics Markup Language","status":"ready","contacts":[{"contact_name":"Bert Vos","contact_email":"bert@w3.org"}],"homepage":"http://www.w3.org/Math/","citations":[],"identifier":401,"description":"A product of the W3C Math Working Group, MathML is a low-level specification for describing mathematics as a basis for machine to machine communication which provides a much needed foundation for the inclusion of mathematical expressions in Web pages. It is also important in publishing workflows for science and technology and wherever mathematics has to be handled by software.","abbreviation":"MathML","support_links":[{"url":"http://www.w3.org/Math/mathml-faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://lists.w3.org/Archives/Public/www-math/","type":"Mailing list"},{"url":"http://www.w3.org/People/maxf/papers/iamc.ps","type":"Help documentation"},{"url":"https://www.w3.org/Math/wiki/Main_Page","type":"Help documentation"},{"url":"http://www.w3.org/Math/Overview.rss","type":"Blog/News"}],"year_creation":1997,"associated_tools":[{"url":"https://www.w3.org/Math/wiki/Tools#Browsers","name":"MathML Tool list"}]},"legacy_ids":["bsg-000571","bsg-s000571"],"name":"FAIRsharing record for: Mathematics Markup Language","abbreviation":"MathML","url":"https://fairsharing.org/10.25504/FAIRsharing.1ctakh","doi":"10.25504/FAIRsharing.1ctakh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A product of the W3C Math Working Group, MathML is a low-level specification for describing mathematics as a basis for machine to machine communication which provides a much needed foundation for the inclusion of mathematical expressions in Web pages. It is also important in publishing workflows for science and technology and wherever mathematics has to be handled by software.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11174},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12052}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Mathematics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5603,"fairsharing_record_id":401,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:33.135Z","updated_at":"2021-09-30T09:27:33.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"402","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.397Z","metadata":{"doi":"10.25504/FAIRsharing.peabnh","name":"Bleeding History Phenotype","status":"ready","contacts":[{"contact_name":"Shamim Mollah","contact_email":"smollah@rockefeller.edu","contact_orcid":"0000-0001-9178-8339"}],"homepage":"http://bioportal.bioontology.org/ontologies/1116","citations":[{"publication_id":2666}],"identifier":402,"description":"An application ontology devoted to the standardized recording of phenotypic data related to hemorrhagic disorders.","abbreviation":"BHO","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BHO","name":"BHO","portal":"BioPortal"}]},"legacy_ids":["bsg-002585","bsg-s002585"],"name":"FAIRsharing record for: Bleeding History Phenotype","abbreviation":"BHO","url":"https://fairsharing.org/10.25504/FAIRsharing.peabnh","doi":"10.25504/FAIRsharing.peabnh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology devoted to the standardized recording of phenotypic data related to hemorrhagic disorders.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12516}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science"],"domains":["Patient care","Phenotype","Blood"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2666,"pubmed_id":null,"title":"Creating an Ontology‐Based Human Phenotyping System: The Rockefeller University Bleeding History Experience","year":2019,"url":"https://ascpt.onlinelibrary.wiley.com/doi/10.1111/j.1752-8062.2009.00147.x","authors":"Andreas C. Mauer M.D. Edward M. Barbour M.S. Nickolay A. Khazanov M.S. Natasha Levenkova M.S. Shamim A. Mollah M.S. Barry S. Coller M.D.","journal":"Clinical and Translational Science","doi":null,"created_at":"2021-09-30T08:27:27.329Z","updated_at":"2021-09-30T08:27:27.329Z"}],"licence_links":[],"grants":[{"id":5604,"fairsharing_record_id":402,"organisation_id":210,"relation":"maintains","created_at":"2021-09-30T09:27:33.174Z","updated_at":"2021-09-30T09:27:33.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":210,"name":"BHAO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5605,"fairsharing_record_id":402,"organisation_id":1970,"relation":"funds","created_at":"2021-09-30T09:27:33.205Z","updated_at":"2021-09-30T09:28:56.279Z","grant_id":23,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"KL2RR024142","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8464,"fairsharing_record_id":402,"organisation_id":1970,"relation":"funds","created_at":"2021-09-30T09:32:45.301Z","updated_at":"2021-09-30T09:32:45.344Z","grant_id":1763,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"1U54RR023419‐01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"397","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:54:37.950Z","metadata":{"doi":"10.25504/FAIRsharing.wgfrmg","name":"Crop Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"earnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"http://www.cropontology.org/","citations":[],"identifier":397,"description":"Created in 2008 by the CGIAR, the Crop Ontology (CO; http://www.cropontology.org) is an essential source of traits and variables to support the standardization of the breeding databases such as the Integrated Breeding Platform’s BMS (IBP; https://www.integratedbreeding.net/) and the Boyce Thompson Institute’s Breedbase (https://breedbase.org/) (Arnaud et al., 2020). By providing descriptions of agronomic, morphological, physiological, quality, and stress traits along with their definitions and relationships, also including a standard nomenclature for composing the variables, the CO enables digital capture and aggregation of crop trait data, as well as comparison across projects and locations (Shrestha et al, 2012). The crop ontologies follow a conceptual model that defines a phenotypic variable as a combination of a trait, a method and a scale. This model aims at supporting the creation and management of breeders’ field books and the generation of annotated trial data. Annotated data are interpretable, interoperable and reusable. The development of a crop-specific ontology is a community-driven effort which is usually coordinated by a curator (or curators) nominated from within the community itself. CO’s Traits that are properly described following the guidelines are progressively mapped to the Planteome species-neutral Trait Ontology (TO) maintained by Oregon State University.","abbreviation":"CO","support_links":[{"url":"helpdesk@cropontology-curationtool.org","type":"Support email"},{"url":"https://cropontology.org/feedback","name":"General Contact Page","type":"Contact form"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"},{"url":"http://www.cropontology.org/about","name":"About","type":"Help documentation"},{"url":"http://genesys.cgxchange.org/gcp-crop-ontology/m-crop-ontology-curation-tool","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CO","name":"CO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/search?q=Crop+ontology","name":"Crop Ontologies in OLS","portal":"OLS"},{"url":"http://crop.agroportal.lirmm.fr/","name":"Crop Ontologies in AgroPortal","portal":"AgroPortal"}]},"legacy_ids":["bsg-002695","bsg-s002695"],"name":"FAIRsharing record for: Crop Ontology","abbreviation":"CO","url":"https://fairsharing.org/10.25504/FAIRsharing.wgfrmg","doi":"10.25504/FAIRsharing.wgfrmg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Created in 2008 by the CGIAR, the Crop Ontology (CO; http://www.cropontology.org) is an essential source of traits and variables to support the standardization of the breeding databases such as the Integrated Breeding Platform’s BMS (IBP; https://www.integratedbreeding.net/) and the Boyce Thompson Institute’s Breedbase (https://breedbase.org/) (Arnaud et al., 2020). By providing descriptions of agronomic, morphological, physiological, quality, and stress traits along with their definitions and relationships, also including a standard nomenclature for composing the variables, the CO enables digital capture and aggregation of crop trait data, as well as comparison across projects and locations (Shrestha et al, 2012). The crop ontologies follow a conceptual model that defines a phenotypic variable as a combination of a trait, a method and a scale. This model aims at supporting the creation and management of breeders’ field books and the generation of annotated trial data. Annotated data are interpretable, interoperable and reusable. The development of a crop-specific ontology is a community-driven effort which is usually coordinated by a curator (or curators) nominated from within the community itself. CO’s Traits that are properly described following the guidelines are progressively mapped to the Planteome species-neutral Trait Ontology (TO) maintained by Oregon State University.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11867},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15732},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16739}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Plant Breeding","Agriculture"],"domains":["Phenotype"],"taxonomies":["Plantae"],"user_defined_tags":["Metadata standardization","Plant Phenotypes and Traits"],"countries":["France"],"publications":[{"id":1306,"pubmed_id":22476066,"title":"Multifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature.","year":2010,"url":"http://doi.org/10.1093/aobpla/plq008","authors":"Shrestha R,Arnaud E,Mauleon R,Senger M,Davenport GF,Hancock D,Morrison N,Bruskiewich R,McLaren G","journal":"AoB Plants","doi":"10.1093/aobpla/plq008","created_at":"2021-09-30T08:24:45.859Z","updated_at":"2021-09-30T08:24:45.859Z"},{"id":2198,"pubmed_id":22934074,"title":"Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice.","year":2012,"url":"http://doi.org/10.3389/fphys.2012.00326","authors":"Shrestha R,Matteis L,Skofic M,Portugal A,McLaren G,Hyman G,Arnaud E","journal":"Front Physiol","doi":"10.3389/fphys.2012.00326","created_at":"2021-09-30T08:26:27.748Z","updated_at":"2021-09-30T08:26:27.748Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":477,"relation":"undefined"}],"grants":[{"id":5596,"fairsharing_record_id":397,"organisation_id":485,"relation":"funds","created_at":"2021-09-30T09:27:32.834Z","updated_at":"2021-09-30T09:27:32.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5595,"fairsharing_record_id":397,"organisation_id":2272,"relation":"funds","created_at":"2021-09-30T09:27:32.804Z","updated_at":"2021-09-30T09:27:32.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":5597,"fairsharing_record_id":397,"organisation_id":282,"relation":"funds","created_at":"2021-09-30T09:27:32.884Z","updated_at":"2021-09-30T09:27:32.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5599,"fairsharing_record_id":397,"organisation_id":1458,"relation":"funds","created_at":"2021-09-30T09:27:32.960Z","updated_at":"2021-09-30T09:27:32.960Z","grant_id":null,"is_lead":false,"saved_state":{"id":1458,"name":"Integrated Breeding Platform (IBP), Mexico, Mexico","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":5600,"fairsharing_record_id":397,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:27:33.001Z","updated_at":"2021-09-30T09:27:33.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5598,"fairsharing_record_id":397,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:32.924Z","updated_at":"2021-09-30T09:30:54.117Z","grant_id":926,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#1340112","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBCZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--776cb0c3be592f850fc0c898de73963446bb0785/Capture%20d%E2%80%99e%CC%81cran%202022-01-26%20a%CC%80%2013.41.07.png?disposition=inline","exhaustive_licences":false}},{"id":"398","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:35.174Z","metadata":{"doi":"10.25504/FAIRsharing.kfs4pj","name":"Pseudogene","status":"ready","contacts":[{"contact_name":"Gerstein Lab","contact_email":"yhl3@gersteinlab.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/1135","identifier":398,"description":"This ontology is about human pseudogenes, extending the existing SO framework to incorporate additional attributes. Relationships between pseudogenes and segmental duplications are defined in this standard. To answer research questions and to annotate pseudogenes appropriately, a series of logical rules using SWRL was created.","abbreviation":"Pseudo","year_creation":2008},"legacy_ids":["bsg-002579","bsg-s002579"],"name":"FAIRsharing record for: Pseudogene","abbreviation":"Pseudo","url":"https://fairsharing.org/10.25504/FAIRsharing.kfs4pj","doi":"10.25504/FAIRsharing.kfs4pj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is about human pseudogenes, extending the existing SO framework to incorporate additional attributes. Relationships between pseudogenes and segmental duplications are defined in this standard. To answer research questions and to annotate pseudogenes appropriately, a series of logical rules using SWRL was created.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Pseudogene","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1882,"pubmed_id":20529940,"title":"Using semantic web rules to reason on an ontology of pseudogenes.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq173","authors":"Holford ME,Khurana E,Cheung KH,Gerstein M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq173","created_at":"2021-09-30T08:25:51.715Z","updated_at":"2021-09-30T08:25:51.715Z"}],"licence_links":[],"grants":[{"id":5601,"fairsharing_record_id":398,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:33.061Z","updated_at":"2021-09-30T09:29:53.704Z","grant_id":455,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 DA021253","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8109,"fairsharing_record_id":398,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:00.688Z","updated_at":"2021-09-30T09:31:00.746Z","grant_id":977,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"P01 DC04732","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"381","type":"fairsharing_records","attributes":{"created_at":"2019-04-17T07:23:38.000Z","updated_at":"2024-01-28T15:58:27.773Z","metadata":{"doi":"10.25504/FAIRsharing.r7Kwy7","name":"CAS Registry Number","status":"ready","contacts":[{"contact_name":"CAS Helpdesk","contact_email":"help@cas.org"}],"homepage":"https://www.cas.org/support/documentation/chemical-substances/faqs#2","citations":[],"identifier":381,"description":"Identifier used by the Chemical Abstracts Service Registry. A CAS Registry Number is a numeric identifier that can contain up to 10 digits, divided by hyphens into three parts. The right-most digit is a check digit used to verify the validity and uniqueness of the entire number.","abbreviation":"CAS RN","support_links":[{"url":"https://www.cas.org/contact","name":"Contact","type":"Contact form"}],"cross_references":[{"url":"https://bioregistry.io/registry/cas","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/cas","name":"identifiers.org","portal":"Other"}],"regular_expression":"^\\d{1,7}\\-\\d{2}\\-\\d$"},"legacy_ids":["bsg-001363","bsg-s001363"],"name":"FAIRsharing record for: CAS Registry Number","abbreviation":"CAS RN","url":"https://fairsharing.org/10.25504/FAIRsharing.r7Kwy7","doi":"10.25504/FAIRsharing.r7Kwy7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Identifier used by the Chemical Abstracts Service Registry. A CAS Registry Number is a numeric identifier that can contain up to 10 digits, divided by hyphens into three parts. The right-most digit is a check digit used to verify the validity and uniqueness of the entire number.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11740}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Cheminformatics"],"domains":["Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3481,"pubmed_id":null,"title":"CAS Common Chemistry in 2021: Expanding Access to Trusted Chemical Information for the Scientific Community","year":2022,"url":"http://dx.doi.org/10.1021/acs.jcim.2c00268","authors":"Jacobs, Andrea; Williams, Dustin; Hickey, Katherine; Patrick, Nathan; Williams, Antony J.; Chalk, Stuart; McEwen, Leah; Willighagen, Egon; Walker, Martin; Bolton, Evan; Sinclair, Gabriel; Sanford, Adam; ","journal":"J. Chem. Inf. Model.","doi":"10.1021/acs.jcim.2c00268","created_at":"2022-07-21T06:43:02.794Z","updated_at":"2022-07-21T06:43:02.794Z"}],"licence_links":[],"grants":[{"id":5558,"fairsharing_record_id":381,"organisation_id":498,"relation":"maintains","created_at":"2021-09-30T09:27:31.689Z","updated_at":"2021-09-30T09:27:31.689Z","grant_id":null,"is_lead":true,"saved_state":{"id":498,"name":"Chemical Abstracts Service, Columbus, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"382","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:19.434Z","metadata":{"doi":"10.25504/FAIRsharing.gjn0y","name":"Quantitative Imaging Biomarker Ontology","status":"deprecated","contacts":[{"contact_name":"David Paik","contact_email":"termite@stanford.edu","contact_orcid":"0000-0002-7830-312X"}],"homepage":"http://bioportal.bioontology.org/ontologies/1671","identifier":382,"description":"An ontology that describes various concepts in quantitative imaging biomarkers.","abbreviation":"QIBO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/QIBO","name":"QIBO","portal":"BioPortal"}],"deprecation_date":"2019-06-05","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-002757","bsg-s002757"],"name":"FAIRsharing record for: Quantitative Imaging Biomarker Ontology","abbreviation":"QIBO","url":"https://fairsharing.org/10.25504/FAIRsharing.gjn0y","doi":"10.25504/FAIRsharing.gjn0y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that describes various concepts in quantitative imaging biomarkers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Biomarker","Imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2421,"pubmed_id":23589184,"title":"Quantitative imaging biomarker ontology (QIBO) for knowledge representation of biomedical imaging biomarkers.","year":2013,"url":"http://doi.org/10.1007/s10278-013-9599-2","authors":"Buckler AJ,Liu TT,Savig E,Suzek BE,Rubin DL,Paik D","journal":"J Digit Imaging","doi":"10.1007/s10278-013-9599-2","created_at":"2021-09-30T08:26:57.068Z","updated_at":"2021-09-30T08:26:57.068Z"}],"licence_links":[],"grants":[{"id":5559,"fairsharing_record_id":382,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:31.720Z","updated_at":"2021-09-30T09:27:31.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5560,"fairsharing_record_id":382,"organisation_id":2025,"relation":"funds","created_at":"2021-09-30T09:27:31.753Z","updated_at":"2021-09-30T09:31:51.968Z","grant_id":1362,"is_lead":false,"saved_state":{"id":2025,"name":"National Institute of Standards and Technology (NIST), Gaithersburg MD, USA","grant":"70NANB10H223","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"383","type":"fairsharing_records","attributes":{"created_at":"2017-07-31T16:05:01.000Z","updated_at":"2023-02-28T10:14:00.281Z","metadata":{"doi":"10.25504/FAIRsharing.9xytp6","name":"UK Environmental Observation Framework","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"office@ukeof.org.uk"}],"homepage":"http://www.ukeof.org.uk/schema","identifier":383,"description":"This schema, expressed in XML, defines four elements which relate to the environmental monitoring object types: Programme, Activity, Network and Facility.","abbreviation":"UKEOF","support_links":[{"url":"office@ukeof.org.uk","name":"Contact email","type":"Support email"},{"url":"http://www.ukeof.org.uk/schema/1/schema-guidelines-v1","name":"schema documentation","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-000715","bsg-s000715"],"name":"FAIRsharing record for: UK Environmental Observation Framework","abbreviation":"UKEOF","url":"https://fairsharing.org/10.25504/FAIRsharing.9xytp6","doi":"10.25504/FAIRsharing.9xytp6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This schema, expressed in XML, defines four elements which relate to the environmental monitoring object types: Programme, Activity, Network and Facility.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geology","Natural Science"],"domains":["Climate","Observation design"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5563,"fairsharing_record_id":383,"organisation_id":664,"relation":"funds","created_at":"2021-09-30T09:27:31.826Z","updated_at":"2021-09-30T09:27:31.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":664,"name":"Department for Environment, Food \u0026 Rural Affairs, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5561,"fairsharing_record_id":383,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:31.777Z","updated_at":"2021-09-30T09:27:31.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5562,"fairsharing_record_id":383,"organisation_id":2896,"relation":"maintains","created_at":"2021-09-30T09:27:31.803Z","updated_at":"2021-09-30T09:27:31.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":2896,"name":"UK Environmental Observations Framework","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"409","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-24T08:34:05.344Z","metadata":{"doi":"10.25504/FAIRsharing.atygwy","name":"Web Ontology Language","status":"ready","contacts":[{"contact_name":"OWL Mailing List and General Contact","contact_email":"public-owl-dev@w3.org","contact_orcid":null}],"homepage":"http://www.w3.org/TR/owl-overview/","citations":[],"identifier":409,"description":"The Web Ontology Language (OWL) is a family of knowledge representation languages or ontology languages for authoring ontologies or knowledge bases. The languages are characterized by formal semantics and RDF/XML-based serializations for the Semantic Web. OWL is endorsed by the World Wide Web Consortium (W3C) and has attracted academic, medical and commercial interest. The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents.","abbreviation":"OWL","support_links":[{"url":"team-owl-chairs@w3.org","type":"Support email"},{"url":"http://www.w3.org/blog/tags/owl/","type":"Help documentation"},{"url":"public-owl-comments@w3.org","type":"Mailing list"},{"url":"public-owl-dev@w3.org","type":"Mailing list"},{"url":"http://www.w3.org/TR/owl-guide/","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000560","bsg-s000560"],"name":"FAIRsharing record for: Web Ontology Language","abbreviation":"OWL","url":"https://fairsharing.org/10.25504/FAIRsharing.atygwy","doi":"10.25504/FAIRsharing.atygwy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Web Ontology Language (OWL) is a family of knowledge representation languages or ontology languages for authoring ontologies or knowledge bases. The languages are characterized by formal semantics and RDF/XML-based serializations for the Semantic Web. OWL is endorsed by the World Wide Web Consortium (W3C) and has attracted academic, medical and commercial interest. The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14569}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics","Computer Science","Subject Agnostic","Ontology and Terminology"],"domains":["Knowledge representation"],"taxonomies":["All"],"user_defined_tags":["Semantic"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":3612,"relation":"applies_to_content"}],"grants":[{"id":11748,"fairsharing_record_id":409,"organisation_id":4352,"relation":"maintains","created_at":"2024-04-24T08:24:40.975Z","updated_at":"2024-04-24T08:24:40.975Z","grant_id":null,"is_lead":true,"saved_state":{"id":4352,"name":"W3C OWL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2tFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1d9ee85d5894ce8bf8669ee55cc06508c00a2ffb/Screenshot%20from%202024-04-24%2009-19-48.png?disposition=inline","exhaustive_licences":true}},{"id":"410","type":"fairsharing_records","attributes":{"created_at":"2017-09-15T13:44:36.000Z","updated_at":"2021-11-24T13:17:40.089Z","metadata":{"doi":"10.25504/FAIRsharing.es2t25","name":"Asset Description Metadata Schema","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"isa2@ec.europa.eu"}],"homepage":"https://joinup.ec.europa.eu/asset/adms/description","identifier":410,"description":"ADMS is a schema used to describe data models and specifications, reference data and open source software. The standard aims to extend the use of ADMS for the description of other types of interoperability solutions, meaning solutions covering the political, legal, organisational and technical interoperability layers defined by the European Interoperability Framework.","abbreviation":"ADMS","support_links":[{"url":"https://joinup.ec.europa.eu/contact","name":"Joinup Contact","type":"Contact form"},{"url":"https://www.w3.org/TR/vocab-adms/","name":"W3C Note","type":"Help documentation"},{"url":"https://joinup.ec.europa.eu/release/adms-ap-joinup-version/20","name":"Documentation for v2","type":"Help documentation"},{"url":"https://twitter.com/Joinup_eu","name":"Twitter","type":"Twitter"}],"year_creation":2011},"legacy_ids":["bsg-000719","bsg-s000719"],"name":"FAIRsharing record for: Asset Description Metadata Schema","abbreviation":"ADMS","url":"https://fairsharing.org/10.25504/FAIRsharing.es2t25","doi":"10.25504/FAIRsharing.es2t25","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ADMS is a schema used to describe data models and specifications, reference data and open source software. The standard aims to extend the use of ADMS for the description of other types of interoperability solutions, meaning solutions covering the political, legal, organisational and technical interoperability layers defined by the European Interoperability Framework.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"ISA Open Metadata Legal Notice","licence_id":454,"licence_url":"https://joinup.ec.europa.eu/joinup/legal-notice","link_id":1259,"relation":"undefined"}],"grants":[{"id":5624,"fairsharing_record_id":410,"organisation_id":1553,"relation":"maintains","created_at":"2021-09-30T09:27:33.838Z","updated_at":"2021-09-30T09:27:33.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":1553,"name":"ISA Programme","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"458","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:52.563Z","metadata":{"doi":"10.25504/FAIRsharing.975659","name":"PRIDE XML Format","status":"ready","contacts":[{"contact_name":"Henning Hermjakob","contact_email":"hhe@ebi.ac.uk","contact_orcid":"0000-0001-8479-0262"}],"homepage":"http://www.ebi.ac.uk/pride/help/archive/submission/pridexml","identifier":458,"description":"XML submission format for the PRIDE repository at the EBI.","abbreviation":"PRIDE XML Format","support_links":[{"url":"pride-support@ebi.ac.uk","name":"PRIDE Helpdesk","type":"Support email"}],"year_creation":2004,"associated_tools":[{"url":"https://github.com/PRIDE-Toolsuite/pride-inspector","name":"PRIDE Inspector"},{"url":"https://github.com/PRIDE-Toolsuite/pride-converter-2","name":"PRIDE Converter 2"}]},"legacy_ids":["bsg-000561","bsg-s000561"],"name":"FAIRsharing record for: PRIDE XML Format","abbreviation":"PRIDE XML Format","url":"https://fairsharing.org/10.25504/FAIRsharing.975659","doi":"10.25504/FAIRsharing.975659","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML submission format for the PRIDE repository at the EBI.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11200}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics"],"domains":["Mass spectrum","Protein expression profiling"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":99,"pubmed_id":24727771,"title":"ProteomeXchange provides globally coordinated proteomics data submission and dissemination.","year":2014,"url":"http://doi.org/10.1038/nbt.2839","authors":"Vizcaíno JA, Deutsch EW, Wang R, et al.","journal":"Nat Biotechnol.","doi":"10.1038/nbt.2839","created_at":"2021-09-30T08:22:31.122Z","updated_at":"2021-09-30T08:22:31.122Z"},{"id":556,"pubmed_id":25047258,"title":"How to submit MS proteomics data to ProteomeXchange via the PRIDE database.","year":2014,"url":"http://doi.org/10.1002/pmic.201400120","authors":"Ternent T,Csordas A,Qi D,Gomez-Baena G,Beynon RJ,Jones AR,Hermjakob H,Vizcaino JA","journal":"Proteomics","doi":"10.1002/pmic.201400120","created_at":"2021-09-30T08:23:20.710Z","updated_at":"2021-09-30T08:23:20.710Z"},{"id":1277,"pubmed_id":26527722,"title":"2016 update of the PRIDE database and its related tools.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1145","authors":"Vizcaino JA,Csordas A,del-Toro N,Dianes JA,Griss J,Lavidas I,Mayer G,Perez-Riverol Y,Reisinger F,Ternent T,Xu QW,Wang R,Hermjakob H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1145","created_at":"2021-09-30T08:24:42.539Z","updated_at":"2021-09-30T11:29:05.176Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1053,"relation":"undefined"}],"grants":[{"id":5702,"fairsharing_record_id":458,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:36.282Z","updated_at":"2021-09-30T09:27:36.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5703,"fairsharing_record_id":458,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:36.306Z","updated_at":"2021-09-30T09:30:31.551Z","grant_id":747,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K01997X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8285,"fairsharing_record_id":458,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:54.389Z","updated_at":"2021-09-30T09:31:54.462Z","grant_id":1380,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I00095X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5700,"fairsharing_record_id":458,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:36.232Z","updated_at":"2021-09-30T09:27:36.232Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5701,"fairsharing_record_id":458,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:36.256Z","updated_at":"2021-09-30T09:31:07.322Z","grant_id":1026,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT101477MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8305,"fairsharing_record_id":458,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:00.505Z","updated_at":"2021-09-30T09:32:00.579Z","grant_id":1426,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024225/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"459","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-12-23T18:07:14.016Z","metadata":{"doi":"10.25504/FAIRsharing.d8f1x9","name":"Research Network and Patient Registry Inventory Ontology","status":"ready","contacts":[{"contact_name":"Seena Farzaneh","contact_email":"sfarzaneh@ucsd.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/RNPRIO","citations":[],"identifier":459,"description":"Ontology for Inventories of Clinical Data Research Networks, Patient-Powered Research Networks, and Patient Registries","abbreviation":"RNPRIO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RNPRIO","name":"RNPRIO","portal":"BioPortal"}]},"legacy_ids":["bsg-001040","bsg-s001040"],"name":"FAIRsharing record for: Research Network and Patient Registry Inventory Ontology","abbreviation":"RNPRIO","url":"https://fairsharing.org/10.25504/FAIRsharing.d8f1x9","doi":"10.25504/FAIRsharing.d8f1x9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Inventories of Clinical Data Research Networks, Patient-Powered Research Networks, and Patient Registries","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Clinical Studies","Data Management","Medical Informatics"],"domains":["Monitoring","Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"461","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:07.940Z","metadata":{"doi":"10.25504/FAIRsharing.shm2f2","name":"Radiology Lexicon","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"radlexfeedback@rsna.org"}],"homepage":"https://www.rsna.org/en/practice-tools/data-tools-and-standards/radlex-radiology-lexicon","identifier":461,"description":"RadLex is a comprehensive lexicon—a unified language of radiology terms—for standardized indexing and retrieval of radiology information resources. With more than 68,000 terms, RadLex satisfies the needs of software developers, system vendors and radiology users by adopting the best features of existing terminology systems while producing new terms to fill critical gaps. RadLex also provides a comprehensive and technology-friendly replacement for the ACR Index for Radiological Diagnoses. It unifies and supplements other lexicons and standards, such as SNOMED-CT and DICOM. RadLex development has received support from both the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and the cancer Biomedical Informatics Grid (caBIG) project.","abbreviation":"RadLex","support_links":[{"url":"https://docs.google.com/document/d/10zRIBkXyj1eLt3LS_A7w3gSGRedXXoYvucH6H4trCZY/edit?hl=en#","type":"Help documentation"}],"year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RADLEX","name":"RADLEX","portal":"BioPortal"}]},"legacy_ids":["bsg-002633","bsg-s002633"],"name":"FAIRsharing record for: Radiology Lexicon","abbreviation":"RadLex","url":"https://fairsharing.org/10.25504/FAIRsharing.shm2f2","doi":"10.25504/FAIRsharing.shm2f2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RadLex is a comprehensive lexicon—a unified language of radiology terms—for standardized indexing and retrieval of radiology information resources. With more than 68,000 terms, RadLex satisfies the needs of software developers, system vendors and radiology users by adopting the best features of existing terminology systems while producing new terms to fill critical gaps. RadLex also provides a comprehensive and technology-friendly replacement for the ACR Index for Radiological Diagnoses. It unifies and supplements other lexicons and standards, such as SNOMED-CT and DICOM. RadLex development has received support from both the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and the cancer Biomedical Informatics Grid (caBIG) project.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18158},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12080},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12500}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Radiology","Clinical Studies","Biomedical Science","Medical Informatics"],"domains":["Medical imaging","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":650,"pubmed_id":10789815,"title":"Radiology lexicon.","year":2000,"url":"http://doi.org/10.2214/ajr.174.5.1741463","authors":"Casford B","journal":"AJR Am J Roentgenol","doi":"10.2214/ajr.174.5.1741463","created_at":"2021-09-30T08:23:31.586Z","updated_at":"2021-09-30T08:23:31.586Z"},{"id":2639,"pubmed_id":19081735,"title":"The IR RadLex project: an interventional radiology lexicon--a collaborative project of the Radiological Society of North America and the Society of Interventional Radiology.","year":2008,"url":"http://doi.org/10.1016/j.jvir.2008.10.022","authors":"Kundu S,Itkin M,Gervais DA,Krishnamurthy VN,Wallace MJ,Cardella JF,Rubin DL,Langlotz CP","journal":"J Vasc Interv Radiol","doi":"10.1016/j.jvir.2008.10.022","created_at":"2021-09-30T08:27:24.105Z","updated_at":"2021-09-30T08:27:24.105Z"},{"id":2640,"pubmed_id":19560008,"title":"The IR Radlex Project: an interventional radiology lexicon--a collaborative project of the Radiological Society of North America and the Society of Interventional Radiology.","year":2009,"url":"http://doi.org/10.1016/j.jvir.2009.04.031","authors":"Kundu S,Itkin M,Gervais DA,Krishnamurthy VN,Wallace MJ,Cardella JF,Rubin DL,Langlotz CP","journal":"J Vasc Interv Radiol","doi":"10.1016/j.jvir.2009.04.031","created_at":"2021-09-30T08:27:24.223Z","updated_at":"2021-09-30T08:27:24.223Z"}],"licence_links":[{"licence_name":"RadLex License Version 2.0","licence_id":696,"licence_url":"http://www.rsna.org/uploadedFiles/RSNA/Content/Informatics/RadLex_License_Agreement_and_Terms_of_Use_V2_Final.pdf","link_id":1465,"relation":"undefined"}],"grants":[{"id":5704,"fairsharing_record_id":461,"organisation_id":2400,"relation":"maintains","created_at":"2021-09-30T09:27:36.332Z","updated_at":"2021-09-30T09:27:36.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2400,"name":"Radiological Society of North America","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"463","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:25:43.000Z","updated_at":"2022-07-20T12:10:58.295Z","metadata":{"name":"Country and Location Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_705:ROOT","citations":[],"identifier":463,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Country and Location Ontology is one of these reference ontologies integrated within the Crop Ontology. It has been adapted from ISO 3166-1 country codes and covers the official ISO 3166-1 alpha-2, alpha-3 and numeric country codes.","abbreviation":"CO_705","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2007,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001173","bsg-s001173"],"name":"FAIRsharing record for: Country and Location Ontology","abbreviation":"CO_705","url":"https://fairsharing.org/fairsharing_records/463","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Country and Location Ontology is one of these reference ontologies integrated within the Crop Ontology. It has been adapted from ISO 3166-1 country codes and covers the official ISO 3166-1 alpha-2, alpha-3 and numeric country codes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography","Subject Agnostic"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Mexico","Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":481,"relation":"undefined"}],"grants":[{"id":5707,"fairsharing_record_id":463,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:27:36.406Z","updated_at":"2021-09-30T09:27:36.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5708,"fairsharing_record_id":463,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:36.433Z","updated_at":"2021-09-30T09:27:36.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"464","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-22T11:44:44.361Z","metadata":{"doi":"10.25504/FAIRsharing.z2cz7s","name":"Molgula oculata Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself.communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":464,"description":"The first ontology describing the anatomy and the development of Molgula oculata.","abbreviation":"MOOCULADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOOCULADO","name":"MOOCULADO","portal":"BioPortal"}]},"legacy_ids":["bsg-001045","bsg-s001045"],"name":"FAIRsharing record for: Molgula oculata Anatomy and Development Ontology","abbreviation":"MOOCULADO","url":"https://fairsharing.org/10.25504/FAIRsharing.z2cz7s","doi":"10.25504/FAIRsharing.z2cz7s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Molgula oculata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Molgula oculata"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10441,"fairsharing_record_id":464,"organisation_id":1974,"relation":"funds","created_at":"2023-03-22T10:48:07.576Z","updated_at":"2023-03-22T10:48:07.576Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"465","type":"fairsharing_records","attributes":{"created_at":"2019-01-21T20:25:46.000Z","updated_at":"2022-11-01T11:58:13.126Z","metadata":{"doi":"10.25504/FAIRsharing.TUq8Zj","name":"FAIR Metrics - Identifier Persistence","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F1B","citations":[],"identifier":465,"description":"The FM-F1B Metric provides information regarding whether or not there is a policy that describes what the provider will do in the event an identifier scheme becomes deprecated. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must ensure that they have a policy to manage changes in their identifier scheme, with a specific emphasis on maintaining/redirecting previously generated identifiers. This metric applies to part F1 of the FAIR Principles.","abbreviation":"FM-F1B","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001342","bsg-s001342"],"name":"FAIRsharing record for: FAIR Metrics - Identifier Persistence","abbreviation":"FM-F1B","url":"https://fairsharing.org/10.25504/FAIRsharing.TUq8Zj","doi":"10.25504/FAIRsharing.TUq8Zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FM-F1B Metric provides information regarding whether or not there is a policy that describes what the provider will do in the event an identifier scheme becomes deprecated. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must ensure that they have a policy to manage changes in their identifier scheme, with a specific emphasis on maintaining/redirecting previously generated identifiers. This metric applies to part F1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Subject Agnostic"],"domains":["Data identity and mapping","Centrally registered identifier","Digital curation","Data storage","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Data persistence"],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1281,"relation":"undefined"}],"grants":[{"id":5710,"fairsharing_record_id":465,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:36.482Z","updated_at":"2021-09-30T09:27:36.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5709,"fairsharing_record_id":465,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:36.456Z","updated_at":"2021-09-30T09:27:36.456Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5711,"fairsharing_record_id":465,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:36.506Z","updated_at":"2021-09-30T09:27:36.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5712,"fairsharing_record_id":465,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:36.533Z","updated_at":"2021-09-30T09:27:36.533Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"466","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T03:31:45.000Z","updated_at":"2023-03-15T07:53:07.614Z","metadata":{"name":"FFIS Funder Draft Metadata Specification","status":"in_development","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu","contact_orcid":"0000-0001-6875-5360"}],"homepage":"https://openview.metadatacenter.org/templates/https:%2F%2Frepo.metadatacenter.org%2Ftemplates%2F352a29d7-3df8-4bdd-bd75-e09d16c7063d","citations":[],"identifier":466,"description":"This is the second draft of Funder Metadata specification for the GO FAIR project. It is being used as the basis of a more complete specification for the FAIR Funder Implementation Study.","abbreviation":"FFIS-FunderMD-Draft","year_creation":2019},"legacy_ids":["bsg-001398","bsg-s001398"],"name":"FAIRsharing record for: FFIS Funder Draft Metadata Specification","abbreviation":"FFIS-FunderMD-Draft","url":"https://fairsharing.org/fairsharing_records/466","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is the second draft of Funder Metadata specification for the GO FAIR project. It is being used as the basis of a more complete specification for the FAIR Funder Implementation Study.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Resource metadata","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Document metadata"],"countries":["Ireland","Netherlands","United States"],"publications":[],"licence_links":[],"grants":[{"id":5713,"fairsharing_record_id":466,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:27:36.556Z","updated_at":"2021-09-30T09:27:36.556Z","grant_id":null,"is_lead":true,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5714,"fairsharing_record_id":466,"organisation_id":1187,"relation":"maintains","created_at":"2021-09-30T09:27:36.582Z","updated_at":"2021-09-30T09:27:36.582Z","grant_id":null,"is_lead":true,"saved_state":{"id":1187,"name":"GO FAIR","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"467","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:37:11.000Z","updated_at":"2022-07-20T11:54:28.032Z","metadata":{"name":"Bioversity Molecular Markers Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_500:ROOT","citations":[],"identifier":467,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Bioversity Molecular Markers Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Genetic Markers Technologies (2004) by Carmen De Vicente, Thomas Metz and Adriana Alercia.","abbreviation":"CO_500","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2007,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001174","bsg-s001174"],"name":"FAIRsharing record for: Bioversity Molecular Markers Ontology","abbreviation":"CO_500","url":"https://fairsharing.org/fairsharing_records/467","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Bioversity Molecular Markers Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Genetic Markers Technologies (2004) by Carmen De Vicente, Thomas Metz and Adriana Alercia.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Genetic marker"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Mexico","Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":561,"relation":"undefined"}],"grants":[{"id":5716,"fairsharing_record_id":467,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:36.655Z","updated_at":"2021-09-30T09:27:36.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5715,"fairsharing_record_id":467,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:36.613Z","updated_at":"2021-09-30T09:27:36.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"468","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-07-22T19:20:46.943Z","metadata":{"doi":"10.25504/FAIRsharing.80d8cg","name":"An ontology for experimental actions","status":"ready","contacts":[{"contact_name":"Larisa Soldatova","contact_email":"soldatova.larisa@gmail.com"}],"homepage":"https://github.com/larisa-soldatova/EXACT","citations":[],"identifier":468,"description":"EXACT aims to explicitly define the semantics of experimental protocols in order to ensure their reproducibility, and to support computer applications that assist biologists in the preparation, maintenance, submission and sharing of experimental protocols.","abbreviation":"EXACT","support_links":[{"url":"https://www.aber.ac.uk/en/cs/research/cb/dss/exact/","name":"Project page (Aberystwyth University)","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EXACT","name":"EXACT","portal":"BioPortal"}]},"legacy_ids":["bsg-001046","bsg-s001046"],"name":"FAIRsharing record for: An ontology for experimental actions","abbreviation":"EXACT","url":"https://fairsharing.org/10.25504/FAIRsharing.80d8cg","doi":"10.25504/FAIRsharing.80d8cg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EXACT aims to explicitly define the semantics of experimental protocols in order to ensure their reproducibility, and to support computer applications that assist biologists in the preparation, maintenance, submission and sharing of experimental protocols.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Experimental measurement","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":3493,"pubmed_id":null,"title":"The EXACT description of biomedical protocols","year":2008,"url":"http://dx.doi.org/10.1093/bioinformatics/btn156","authors":"Soldatova, L. N.; Aubrey, W.; King, R. D.; Clare, A.; ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn156","created_at":"2022-07-22T12:59:44.753Z","updated_at":"2022-07-22T12:59:44.753Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"470","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:16:46.203Z","metadata":{"doi":"10.25504/FAIRsharing.aef0q5","name":"Cognitive Atlas","status":"ready","contacts":[{"contact_name":"Russell Poldrack","contact_email":"poldrack@mail.utexas.edu","contact_orcid":"0000-0001-6755-0259"}],"homepage":"http://www.cognitiveatlas.org/","identifier":470,"description":"The Cognitive Atlas is a collaborative knowledge building project that aims to develop a knowledge base (or ontology) that characterizes the state of current thought in cognitive science. Cognitive neuroscience aims to map mental processes onto brain function, which begs the question of what \"mental processes\" exist and how they relate to the tasks that are used to manipulate and measure them.","abbreviation":"CogAt","support_links":[{"url":"http://blog.cognitiveatlas.org/","type":"Blog/News"},{"url":"http://www.cognitiveatlas.org/about","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COGAT","name":"COGAT","portal":"BioPortal"}]},"legacy_ids":["bsg-002730","bsg-s002730"],"name":"FAIRsharing record for: Cognitive Atlas","abbreviation":"CogAt","url":"https://fairsharing.org/10.25504/FAIRsharing.aef0q5","doi":"10.25504/FAIRsharing.aef0q5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cognitive Atlas is a collaborative knowledge building project that aims to develop a knowledge base (or ontology) that characterizes the state of current thought in cognitive science. Cognitive neuroscience aims to map mental processes onto brain function, which begs the question of what \"mental processes\" exist and how they relate to the tasks that are used to manipulate and measure them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Cognitive Neuroscience","Biomedical Science"],"domains":["Behavior","Cognition","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1121,"pubmed_id":21922006,"title":"The cognitive atlas: toward a knowledge foundation for cognitive neuroscience.","year":2011,"url":"http://doi.org/10.3389/fninf.2011.00017","authors":"Poldrack RA,Kittur A,Kalar D,Miller E,Seppa C,Gil Y,Parker DS,Sabb FW,Bilder RM","journal":"Front Neuroinform","doi":"10.3389/fninf.2011.00017","created_at":"2021-09-30T08:24:24.172Z","updated_at":"2021-09-30T08:24:24.172Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 United States (CC BY-SA 3.0 US)","licence_id":193,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/us/","link_id":274,"relation":"undefined"}],"grants":[{"id":5717,"fairsharing_record_id":470,"organisation_id":2112,"relation":"funds","created_at":"2021-09-30T09:27:36.696Z","updated_at":"2022-01-16T08:34:40.003Z","grant_id":239,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","grant":"UL1-DE019580","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8106,"fairsharing_record_id":470,"organisation_id":2112,"relation":"funds","created_at":"2021-09-30T09:30:59.622Z","updated_at":"2022-01-16T08:34:40.020Z","grant_id":969,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","grant":"RL1LM009833","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5718,"fairsharing_record_id":470,"organisation_id":547,"relation":"maintains","created_at":"2021-09-30T09:27:36.735Z","updated_at":"2021-09-30T09:27:36.735Z","grant_id":null,"is_lead":false,"saved_state":{"id":547,"name":"Cognitive Atlas (COGAT) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5719,"fairsharing_record_id":470,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:27:36.769Z","updated_at":"2021-09-30T09:30:12.163Z","grant_id":596,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"RO1MH082795","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7928,"fairsharing_record_id":470,"organisation_id":2112,"relation":"funds","created_at":"2021-09-30T09:29:51.350Z","updated_at":"2022-01-16T08:34:40.084Z","grant_id":437,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","grant":"PL1MH083271","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"471","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.174Z","metadata":{"doi":"10.25504/FAIRsharing.bst9e4","name":"Traditional Medicine Constitution Value Set","status":"ready","contacts":[{"contact_name":"Meri Robinson Nicol","contact_email":"robinsonm@who.int"}],"homepage":"https://sites.google.com/site/whoictm/home","identifier":471,"description":"The value set for the Constitution property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-CONST","support_links":[{"url":"tudorache@stanford.edu","name":"Tania Tudorache","type":"Support email"},{"url":"http://phoenix-local-news.blogspot.fr/2010/12/first-ever-information-standards-for.html","type":"Help documentation"},{"url":"http://www.acupuncturetoday.com/mpacms/at/article.php?id=32456","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-CONST","name":"TM-CONST","portal":"BioPortal"}]},"legacy_ids":["bsg-002703","bsg-s002703"],"name":"FAIRsharing record for: Traditional Medicine Constitution Value Set","abbreviation":"TM-CONST","url":"https://fairsharing.org/10.25504/FAIRsharing.bst9e4","doi":"10.25504/FAIRsharing.bst9e4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The value set for the Constitution property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5720,"fairsharing_record_id":471,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:36.807Z","updated_at":"2021-09-30T09:27:36.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5721,"fairsharing_record_id":471,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:27:36.871Z","updated_at":"2021-09-30T09:27:36.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"472","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:45:31.898Z","metadata":{"doi":"10.25504/FAIRsharing.n3rt95","name":"HMMER Profile File Format","status":"ready","contacts":[{"contact_name":"Robert D Finn","contact_email":"rdf@ebi.ac.uk"}],"homepage":"http://www.hmmer.org","citations":[{"doi":"10.1093/nar/gkv397","pubmed_id":25943547,"publication_id":1767}],"identifier":472,"description":"The profile hidden Markov Model (HMM) calculated from multiple sequence alignment data in this service is stored in Profile HMM save format (usually with \".hmm\" extension). It is an ASCII file containing a lot of header and descriptive records followed by large numerical matrix which holds a probabilistic model of the motif. The file of this format is useful to search against sequence databases to find other proteins which share the same motif.","abbreviation":null,"support_links":[{"url":"https://cryptogenomicon.org/category/hmmer/","name":"HMMER Blog","type":"Blog/News"},{"url":"http://www.hmmer.org/publications.html","name":"Publications","type":"Help documentation"},{"url":"http://www.hmmer.org/documentation.html","name":"HMMER Documentation","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/similarity-searching-multiple-sequence-alignment-and-protein-families-undergraduate-lab","name":"Similarity searching, multiple sequence alignment and protein families - undergraduate lab","type":"TeSS links to training materials"}],"year_creation":1993},"legacy_ids":["bsg-000239","bsg-s000239"],"name":"FAIRsharing record for: HMMER Profile File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.n3rt95","doi":"10.25504/FAIRsharing.n3rt95","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The profile hidden Markov Model (HMM) calculated from multiple sequence alignment data in this service is stored in Profile HMM save format (usually with \".hmm\" extension). It is an ASCII file containing a lot of header and descriptive records followed by large numerical matrix which holds a probabilistic model of the motif. The file of this format is useful to search against sequence databases to find other proteins which share the same motif.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Hidden Markov model","Multiple sequence alignment","Genetic polymorphism","Amino acid sequence","Homologous","Sequence motif"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1767,"pubmed_id":25943547,"title":"HMMER web server: 2015 update.","year":2015,"url":"http://doi.org/10.1093/nar/gkv397","authors":"Finn RD,Clements J,Arndt W,Miller BL,Wheeler TJ,Schreiber F,Bateman A,Eddy SR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv397","created_at":"2021-09-30T08:25:38.228Z","updated_at":"2021-09-30T11:29:20.394Z"},{"id":1803,"pubmed_id":15831105,"title":"Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-99","authors":"Wistrand M,Sonnhammer EL","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-99","created_at":"2021-09-30T08:25:42.438Z","updated_at":"2021-09-30T08:25:42.438Z"}],"licence_links":[],"grants":[{"id":5723,"fairsharing_record_id":472,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:36.955Z","updated_at":"2021-09-30T09:29:24.371Z","grant_id":234,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"108433/Z/15/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5722,"fairsharing_record_id":472,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:36.914Z","updated_at":"2021-09-30T09:27:36.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5725,"fairsharing_record_id":472,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:27:37.026Z","updated_at":"2021-09-30T09:27:37.026Z","grant_id":null,"is_lead":true,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5726,"fairsharing_record_id":472,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:27:37.049Z","updated_at":"2021-09-30T09:27:37.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9232,"fairsharing_record_id":472,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.117Z","updated_at":"2022-04-11T12:07:24.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"473","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.260Z","metadata":{"doi":"10.25504/FAIRsharing.5dvejq","name":"Traditional Medicine Other Factors Value Set","status":"ready","contacts":[{"contact_name":"Tania Tudorache","contact_email":"tudorache@stanford.edu"}],"homepage":"https://sites.google.com/site/whoictm/home","identifier":473,"description":"The value set for the Other Factors property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-OTHER-FACTORS","support_links":[{"url":"https://sites.google.com/site/whoictm/press","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-OTHER-FACTORS","name":"TM-OTHER-FACTORS","portal":"BioPortal"}]},"legacy_ids":["bsg-002704","bsg-s002704"],"name":"FAIRsharing record for: Traditional Medicine Other Factors Value Set","abbreviation":"TM-OTHER-FACTORS","url":"https://fairsharing.org/10.25504/FAIRsharing.5dvejq","doi":"10.25504/FAIRsharing.5dvejq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The value set for the Other Factors property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":703,"relation":"undefined"}],"grants":[{"id":5727,"fairsharing_record_id":473,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:37.074Z","updated_at":"2021-09-30T09:27:37.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5728,"fairsharing_record_id":473,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:27:37.102Z","updated_at":"2021-09-30T09:27:37.102Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"479","type":"fairsharing_records","attributes":{"created_at":"2021-06-16T20:46:46.000Z","updated_at":"2022-07-20T11:26:03.940Z","metadata":{"name":"LUMC Clinical Ontology","status":"in_development","contacts":[{"contact_name":"Núria Queralt Rosinach","contact_email":"nqueralt.r@gmail.com","contact_orcid":"0000-0003-0169-8159"}],"homepage":"https://lumc-biosemantics.github.io/beat-covid/docs/LUMC-Clinical-Ontology.html","identifier":479,"description":"The LUMC clinical ontology is a standard for efficient biomedical research in academic hospitals such as the LUMC. It is an ontology represented in OWL, a Semantic Web W3C recommended standard, to facilitate meaningful integration of different patient data within a hospital as well as to improve interoperability of clinical data, i.e. the “I” in the FAIR principles, for queries across external Linked Open Data and other clinical datasets from other hospitals on the Web.","abbreviation":"LCO","support_links":[{"url":"https://github.com/LUMC-BioSemantics/beat-covid/tree/master/fair-data-model/lumc-clinical-ontology/competency-questions","name":"Competency Questions","type":"Github"},{"url":"https://github.com/LUMC-BioSemantics/beat-covid/tree/master/fair-data-model/lumc-clinical-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2021},"legacy_ids":["bsg-001616","bsg-s001616"],"name":"FAIRsharing record for: LUMC Clinical Ontology","abbreviation":"LCO","url":"https://fairsharing.org/fairsharing_records/479","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LUMC clinical ontology is a standard for efficient biomedical research in academic hospitals such as the LUMC. It is an ontology represented in OWL, a Semantic Web W3C recommended standard, to facilitate meaningful integration of different patient data within a hospital as well as to improve interoperability of clinical data, i.e. the “I” in the FAIR principles, for queries across external Linked Open Data and other clinical datasets from other hospitals on the Web.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Medical Informatics"],"domains":["Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":5733,"fairsharing_record_id":479,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:27:37.240Z","updated_at":"2021-09-30T09:27:37.240Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"481","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-12-27T17:16:48.183Z","metadata":{"doi":"10.25504/FAIRsharing.y4z3tx","name":"Clinical Study Ontology","status":"ready","contacts":[{"contact_name":"Cameron Coffran","contact_email":"cameron@rockefeller.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/CSO","citations":[],"identifier":481,"description":"Ontology to describe general clinical studies.","abbreviation":"CSO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSO","name":"CSO","portal":"BioPortal"}]},"legacy_ids":["bsg-001053","bsg-s001053"],"name":"FAIRsharing record for: Clinical Study Ontology","abbreviation":"CSO","url":"https://fairsharing.org/10.25504/FAIRsharing.y4z3tx","doi":"10.25504/FAIRsharing.y4z3tx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology to describe general clinical studies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Medical Informatics"],"domains":["Monitoring","Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"482","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:36.583Z","metadata":{"doi":"10.25504/FAIRsharing.3pxg2f","name":"Axt Alignment Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/axt.html","identifier":482,"description":"Axt Alignment files are produced from Blastz, an alignment tool available from Webb Miller's lab at Penn State University. The axtNet and axtChain alignments are produced by processing the alignment files with additional utilities written by Jim Kent at UCSC.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000209","bsg-s000209"],"name":"FAIRsharing record for: Axt Alignment Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.3pxg2f","doi":"10.25504/FAIRsharing.3pxg2f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Axt Alignment files are produced from Blastz, an alignment tool available from Webb Miller's lab at Penn State University. The axtNet and axtChain alignments are produced by processing the alignment files with additional utilities written by Jim Kent at UCSC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5735,"fairsharing_record_id":482,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:37.291Z","updated_at":"2021-09-30T09:27:37.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"483","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-12-23T18:07:06.913Z","metadata":{"doi":"10.25504/FAIRsharing.np2wfz","name":"Zebrafish Experimental Conditions Ontology","status":"ready","contacts":[{"contact_name":"Yvonne Bradford","contact_email":"ybradford@zfin.org"}],"homepage":"https://github.com/ybradford/zebrafish-experimental-conditions-ontology","citations":[],"identifier":483,"description":"This ontology is designed to represent the experimental conditions applied to zebrafish and has been developed to facilitate experiment condition annotation at ZFIN.","abbreviation":"ZECO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZECO","name":"ZECO","portal":"BioPortal"}]},"legacy_ids":["bsg-001054","bsg-s001054"],"name":"FAIRsharing record for: Zebrafish Experimental Conditions Ontology","abbreviation":"ZECO","url":"https://fairsharing.org/10.25504/FAIRsharing.np2wfz","doi":"10.25504/FAIRsharing.np2wfz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is designed to represent the experimental conditions applied to zebrafish and has been developed to facilitate experiment condition annotation at ZFIN.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Animal Physiology","Genetics","Developmental Biology"],"domains":["Expression data","Bibliography","Model organism","Disease process modeling","Mutation","Phenotype","Gene","Allele","Genome"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"484","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:43.389Z","metadata":{"doi":"10.25504/FAIRsharing.cea9zc","name":"Statistical Data and Metadata eXchange","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"secretariat@sdmx.org"}],"homepage":"https://sdmx.org/?page_id=5008","citations":[],"identifier":484,"description":"Statistical Data and Metadata eXchange (SDMX) is an initiative to foster standards for the exchange of statistical information. The SDMX initiative sets standards to facilitate the exchange of statistical data and metadata using modern information technology. Several versions of the technical specifications have been released since 2004. SDMX has also been published as an ISO International Standard (IS 17369).","abbreviation":"SDMX","support_links":[{"url":"https://sdmx.org/?page_id=2555/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2013},"legacy_ids":["bsg-000551","bsg-s000551"],"name":"FAIRsharing record for: Statistical Data and Metadata eXchange","abbreviation":"SDMX","url":"https://fairsharing.org/10.25504/FAIRsharing.cea9zc","doi":"10.25504/FAIRsharing.cea9zc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Statistical Data and Metadata eXchange (SDMX) is an initiative to foster standards for the exchange of statistical information. The SDMX initiative sets standards to facilitate the exchange of statistical data and metadata using modern information technology. Several versions of the technical specifications have been released since 2004. SDMX has also been published as an ISO International Standard (IS 17369).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Statistics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5737,"fairsharing_record_id":484,"organisation_id":3245,"relation":"funds","created_at":"2021-09-30T09:27:37.341Z","updated_at":"2021-09-30T09:27:37.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":3245,"name":"World Bank","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5740,"fairsharing_record_id":484,"organisation_id":2638,"relation":"funds","created_at":"2021-09-30T09:27:37.417Z","updated_at":"2021-09-30T09:27:37.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":2638,"name":"Statistics Division, United Nations Department of Economic and Social Affairs (UN DESA), United Nations, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5736,"fairsharing_record_id":484,"organisation_id":2532,"relation":"maintains","created_at":"2021-09-30T09:27:37.317Z","updated_at":"2021-09-30T09:27:37.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":2532,"name":"SDMX Initiative","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5738,"fairsharing_record_id":484,"organisation_id":163,"relation":"funds","created_at":"2021-09-30T09:27:37.367Z","updated_at":"2021-09-30T09:27:37.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":163,"name":"Bank for International Settlements (BIS)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5739,"fairsharing_record_id":484,"organisation_id":1500,"relation":"funds","created_at":"2021-09-30T09:27:37.391Z","updated_at":"2021-09-30T09:27:37.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":1500,"name":"International Monetary Fund (IMF), Washington D.C., USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5741,"fairsharing_record_id":484,"organisation_id":2637,"relation":"funds","created_at":"2021-09-30T09:27:37.441Z","updated_at":"2021-09-30T09:27:37.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":2637,"name":"Statistical Office of the European Union (Eurostat)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5742,"fairsharing_record_id":484,"organisation_id":909,"relation":"funds","created_at":"2021-09-30T09:27:37.467Z","updated_at":"2021-09-30T09:27:37.467Z","grant_id":null,"is_lead":false,"saved_state":{"id":909,"name":"European Central Bank","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"501","type":"fairsharing_records","attributes":{"created_at":"2018-05-28T15:19:14.000Z","updated_at":"2021-11-24T13:18:37.175Z","metadata":{"doi":"10.25504/FAIRsharing.78Lz1O","name":"ProForma","status":"ready","contacts":[{"contact_name":"Richard LeDuc","contact_email":"richard.leduc@northwestern.edu","contact_orcid":"0000-0002-6951-2923"}],"homepage":"https://topdownproteomics.github.io/ProteoformNomenclatureStandard/","identifier":501,"description":"Developed by the Consortium for Top-Down Proteomics, ProForma is a standardized notation for writing fully characterized proteoforms. A proteoform is a specific set of amino acids arranged in a particular order, which may be further modified (cotranslationally, posttranslationally or chemically) at designated locations. This nomenclature is intended to be both machine and human readable, and to be sufficiently flexible to meet current and foreseeable needs.","abbreviation":"ProForma","support_links":[{"url":"https://github.com/topdownproteomics/ProteoformNomenclatureStandard/blob/master/Standard.md","name":"View Standard","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001213","bsg-s001213"],"name":"FAIRsharing record for: ProForma","abbreviation":"ProForma","url":"https://fairsharing.org/10.25504/FAIRsharing.78Lz1O","doi":"10.25504/FAIRsharing.78Lz1O","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Developed by the Consortium for Top-Down Proteomics, ProForma is a standardized notation for writing fully characterized proteoforms. A proteoform is a specific set of amino acids arranged in a particular order, which may be further modified (cotranslationally, posttranslationally or chemically) at designated locations. This nomenclature is intended to be both machine and human readable, and to be sufficiently flexible to meet current and foreseeable needs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Protein modification","Top-down proteomics","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","France","Switzerland","United Kingdom","United States"],"publications":[{"id":1406,"pubmed_id":29397739,"title":"ProForma: A Standard Proteoform Notation.","year":2018,"url":"http://doi.org/10.1021/acs.jproteome.7b00851","authors":"LeDuc RD,Schwammle V,Shortreed MR,Cesnik AJ,Solntsev SK,Shaw JB,Martin MJ,Vizcaino JA,Alpi E,Danis P,Kelleher NL,Smith LM,Ge Y,Agar JN,Chamot-Rooke J,Loo JA,Pasa-Tolic L,Tsybin YO","journal":"J Proteome Res","doi":"10.1021/acs.jproteome.7b00851","created_at":"2021-09-30T08:24:57.193Z","updated_at":"2021-09-30T08:24:57.193Z"}],"licence_links":[],"grants":[{"id":5758,"fairsharing_record_id":501,"organisation_id":2284,"relation":"maintains","created_at":"2021-09-30T09:27:38.032Z","updated_at":"2021-09-30T09:27:38.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2284,"name":"Pacific Northwest National Laboratory, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5760,"fairsharing_record_id":501,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:27:38.107Z","updated_at":"2021-09-30T09:27:38.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5759,"fairsharing_record_id":501,"organisation_id":3126,"relation":"maintains","created_at":"2021-09-30T09:27:38.070Z","updated_at":"2021-09-30T09:27:38.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":3126,"name":"University of Southern Denmark, Denmark","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5761,"fairsharing_record_id":501,"organisation_id":257,"relation":"maintains","created_at":"2021-09-30T09:27:38.149Z","updated_at":"2021-09-30T09:27:38.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":257,"name":"Biological Magnetic Resonance Data Bank (BMRB)","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"503","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-13T13:25:41.126Z","metadata":{"doi":"10.25504/FAIRsharing.7p0xdg","name":"Data Science Education Ontology","status":"ready","contacts":[{"contact_name":"Jose Luis Ambite","contact_email":"ambite@isi.edu"}],"homepage":"http://bigdatau.org/about_erudite","citations":[],"identifier":503,"description":"Simple SKOS Taxonomy denoting subfields of study in data science for use in educational applications.","abbreviation":"DSEO","support_links":[{"url":"gullyburns@gmail.com","name":"Gully Burns,","type":"Support email"},{"url":"lfierro@isi.edu","name":"Lily Fierro","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DSEO","name":"DSEO","portal":"BioPortal"}]},"legacy_ids":["bsg-001057","bsg-s001057"],"name":"FAIRsharing record for: Data Science Education Ontology","abbreviation":"DSEO","url":"https://fairsharing.org/10.25504/FAIRsharing.7p0xdg","doi":"10.25504/FAIRsharing.7p0xdg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Simple SKOS Taxonomy denoting subfields of study in data science for use in educational applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Education Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["data science"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"504","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:37.000Z","updated_at":"2024-03-21T13:58:59.367Z","metadata":{"doi":"10.25504/FAIRsharing.5v08f2","name":"LINCS Pilot Phase 1 Metadata Standards: Small Molecules","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":504,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Small molecules are used as perturbagens in LINCS experiments.","abbreviation":"LINCS 1: Small Molecules","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_SmallMolecule_Metadata_Released_May-04-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Antibody Reagents standard (https://biosharing.org/bsg-s000655) and as such has been superseded by this standard."},"legacy_ids":["bsg-000664","bsg-s000664"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Small Molecules","abbreviation":"LINCS 1: Small Molecules","url":"https://fairsharing.org/10.25504/FAIRsharing.5v08f2","doi":"10.25504/FAIRsharing.5v08f2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Small molecules are used as perturbagens in LINCS experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11893}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5763,"fairsharing_record_id":504,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.231Z","updated_at":"2021-09-30T09:27:38.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11565,"fairsharing_record_id":504,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:59.197Z","updated_at":"2024-03-21T13:58:59.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"505","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:33.000Z","updated_at":"2024-03-21T13:58:59.680Z","metadata":{"doi":"10.25504/FAIRsharing.c2c96p","name":"LINCS Pilot Phase 1 Metadata Standards: Cell Lines","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":505,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","abbreviation":"LINCS 1: Cell Lines","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_CellLine_Metadata_Release_Apr-11-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Cell line standard (https://biosharing.org/bsg-s000651) and as such has been superseded by this standard."},"legacy_ids":["bsg-000662","bsg-s000662"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Cell Lines","abbreviation":"LINCS 1: Cell Lines","url":"https://fairsharing.org/10.25504/FAIRsharing.c2c96p","doi":"10.25504/FAIRsharing.c2c96p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11904}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5765,"fairsharing_record_id":505,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.306Z","updated_at":"2021-09-30T09:27:38.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11566,"fairsharing_record_id":505,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:59.550Z","updated_at":"2024-03-21T13:58:59.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"506","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T08:43:25.000Z","updated_at":"2024-03-21T13:58:12.226Z","metadata":{"doi":"10.25504/FAIRsharing.300fqe","name":"LINCS Extended Metadata Standard: Embryonic Stem Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Embryonic_Stem_Cell_Metadata_2017.pdf","citations":[],"identifier":506,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Metadata for this standard includes organism name, genetic modifications and precursor cell name.","abbreviation":"LINCS 2: Embryonic Stem Cells","support_links":[{"url":"https://lincsproject.org/LINCS/files/Embryonic_Stem_Cell_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000660","bsg-s000660"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Embryonic Stem Cells","abbreviation":"LINCS 2: Embryonic Stem Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.300fqe","doi":"10.25504/FAIRsharing.300fqe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Metadata for this standard includes organism name, genetic modifications and precursor cell name.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11902}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Cell line","Human embryonic stem cell line cell","Stem cell","Cellular assay","Cellular component"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5767,"fairsharing_record_id":506,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.391Z","updated_at":"2021-09-30T09:27:38.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11541,"fairsharing_record_id":506,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:11.767Z","updated_at":"2024-03-21T13:58:11.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"486","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:35.000Z","updated_at":"2024-03-21T13:58:11.548Z","metadata":{"doi":"10.25504/FAIRsharing.265acy","name":"LINCS Pilot Phase 1 Metadata Standards: Primary Cells","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":486,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","abbreviation":"LINCS 1: Primary Cells","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_PrimaryCell_Metadata_Release_Apr-11-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Primary Cells standard (https://biosharing.org/bsg-s000652) and as such has been superseded by this standard."},"legacy_ids":["bsg-000663","bsg-s000663"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Primary Cells","abbreviation":"LINCS 1: Primary Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.265acy","doi":"10.25504/FAIRsharing.265acy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11901}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5744,"fairsharing_record_id":486,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:37.517Z","updated_at":"2021-09-30T09:27:37.517Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11540,"fairsharing_record_id":486,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:11.325Z","updated_at":"2024-03-21T13:58:11.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"488","type":"fairsharing_records","attributes":{"created_at":"2016-05-26T14:17:50.000Z","updated_at":"2023-05-05T07:50:49.760Z","metadata":{"doi":"10.25504/FAIRsharing.fkrc9","name":"XDF - A Language for the Definition and Exchange of Biological Data Sets","status":"deprecated","contacts":[],"homepage":"https://github.com/tdwg/prior-standards/tree/master/xdf","citations":[],"identifier":488,"description":"XDF is a high-level language for describing biological data, with its own syntax and command vocabulary, analogous to the high-level programming languages used to describe software algorithms. Provision is made within XDF for predefined standard definitions of the common core elements of biological data sets such as the taxonomic hierarchy, biological nomenclature, descriptive material and bibliography.","abbreviation":"XDF","year_creation":1991,"deprecation_date":"2016-05-26","deprecation_reason":"This standard is listed as 'prior' on the TDWG website (http://www.tdwg.org/standards/)"},"legacy_ids":["bsg-000669","bsg-s000669"],"name":"FAIRsharing record for: XDF - A Language for the Definition and Exchange of Biological Data Sets","abbreviation":"XDF","url":"https://fairsharing.org/10.25504/FAIRsharing.fkrc9","doi":"10.25504/FAIRsharing.fkrc9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XDF is a high-level language for describing biological data, with its own syntax and command vocabulary, analogous to the high-level programming languages used to describe software algorithms. Provision is made within XDF for predefined standard definitions of the common core elements of biological data sets such as the taxonomic hierarchy, biological nomenclature, descriptive material and bibliography.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12281}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity"],"domains":["Taxonomic classification"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1179,"pubmed_id":null,"title":"Language for the definition and exchange of biological data sets","year":1992,"url":"https://doi.org/10.1016/0895-7177(92)90163-F","authors":"R.J. White, R. Allkin","journal":"Mathematical and Computer Modelling","doi":null,"created_at":"2021-09-30T08:24:31.076Z","updated_at":"2021-09-30T11:28:31.935Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"489","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-12-23T08:34:05.543Z","metadata":{"doi":"10.25504/FAIRsharing.4ded1f","name":"Time Event Ontology","status":"ready","contacts":[{"contact_name":"Cui Tao","contact_email":"tao.cui@mayo.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/TEO","citations":[],"identifier":489,"description":"The Time Event Ontology (TEO) is an ontology for representing events, time, and their relationships.","abbreviation":"TEO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TEO","name":"TEO","portal":"BioPortal"}]},"legacy_ids":["bsg-000728","bsg-s000728"],"name":"FAIRsharing record for: Time Event Ontology","abbreviation":"TEO","url":"https://fairsharing.org/10.25504/FAIRsharing.4ded1f","doi":"10.25504/FAIRsharing.4ded1f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Time Event Ontology (TEO) is an ontology for representing events, time, and their relationships.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Physics"],"domains":["Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":["Events"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"490","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T14:49:31.813Z","metadata":{"doi":"10.25504/FAIRsharing.tej5wx","name":"New Hampshire eXtended Format","status":"ready","contacts":[{"contact_name":"Christian M. Zmasek","contact_email":"czmasek@burnham.org"}],"homepage":"http://www.phylosoft.org/NHX/nhx.pdf","citations":[],"identifier":490,"description":"NHX is based on the New Hampshire (NH) standard (also called \"Newick tree format\").","abbreviation":null,"support_links":[{"url":"https://sites.google.com/site/cmzmasek/christian-zmasek?authuser=0","name":"Christian Zmasek webpage","type":"Other"},{"url":"https://en.wikipedia.org/wiki/Newick_format#New_Hampshire_X_format","name":"Wikipedia","type":"Help documentation"}],"year_creation":1999},"legacy_ids":["bsg-000252","bsg-s000252"],"name":"FAIRsharing record for: New Hampshire eXtended Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tej5wx","doi":"10.25504/FAIRsharing.tej5wx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NHX is based on the New Hampshire (NH) standard (also called \"Newick tree format\").","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12431}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Comparative Genomics"],"domains":["Deoxyribonucleic acid","Dendrogram","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":10459,"fairsharing_record_id":490,"organisation_id":1597,"relation":"undefined","created_at":"2023-03-24T14:49:05.000Z","updated_at":"2023-03-24T14:49:05.000Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"491","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T12:29:37.000Z","updated_at":"2021-11-24T13:17:19.726Z","metadata":{"doi":"10.25504/FAIRsharing.q0hgq","name":"Monument Inventory DAta Standard Heritage","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"customers@HistoricEngland.org.uk"}],"homepage":"https://historicengland.org.uk/images-books/publications/midas-heritage/","identifier":491,"description":"The UK Historic Environment Data Standard is a British cultural heritage standard for recording information on buildings, archaeological sites, shipwrecks, parks and gardens, battlefields, areas of interest and artefacts. This data standard suggests the minimum level of information needed for recording heritage assets and covers the procedures involved in understanding, protecting and managing these assets. It also provides guidelines on how to support effective sharing of knowledge, data retrieval and long-term preservation of data.","abbreviation":"MIDAS Heritage","year_creation":2012},"legacy_ids":["bsg-000702","bsg-s000702"],"name":"FAIRsharing record for: Monument Inventory DAta Standard Heritage","abbreviation":"MIDAS Heritage","url":"https://fairsharing.org/10.25504/FAIRsharing.q0hgq","doi":"10.25504/FAIRsharing.q0hgq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Historic Environment Data Standard is a British cultural heritage standard for recording information on buildings, archaeological sites, shipwrecks, parks and gardens, battlefields, areas of interest and artefacts. This data standard suggests the minimum level of information needed for recording heritage assets and covers the procedures involved in understanding, protecting and managing these assets. It also provides guidelines on how to support effective sharing of knowledge, data retrieval and long-term preservation of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Humanities","Ancient Cultures","History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5745,"fairsharing_record_id":491,"organisation_id":1251,"relation":"maintains","created_at":"2021-09-30T09:27:37.541Z","updated_at":"2021-09-30T09:27:37.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":1251,"name":"Historic England, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"492","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2023-03-24T15:38:55.447Z","metadata":{"doi":"10.25504/FAIRsharing.4ga4vc","name":"Molgula occulta Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself.communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":492,"description":"The first ontology describing the anatomy and the development of Molgula occulta.","abbreviation":"MOOCCUADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOOCCUADO","name":"MOOCCUADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000731","bsg-s000731"],"name":"FAIRsharing record for: Molgula occulta Anatomy and Development Ontology","abbreviation":"MOOCCUADO","url":"https://fairsharing.org/10.25504/FAIRsharing.4ga4vc","doi":"10.25504/FAIRsharing.4ga4vc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Molgula occulta.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Molgula occulta"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10460,"fairsharing_record_id":492,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T15:38:25.083Z","updated_at":"2023-03-24T15:38:25.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"498","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:14:57.000Z","updated_at":"2024-03-21T13:58:58.288Z","metadata":{"doi":"10.25504/FAIRsharing.t4nd3r","name":"LINCS Extended Metadata Standard: Cell lines","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Cell_Line_Metadata_2017.pdf","citations":[],"identifier":498,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe cell lines, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases (especially with cell lines), the cells are also associated with a disease.","abbreviation":"LINCS 2: Cell lines","support_links":[{"url":"https://lincsproject.org/LINCS/files/Cell_Line_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000651","bsg-s000651"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Cell lines","abbreviation":"LINCS 2: Cell lines","url":"https://fairsharing.org/10.25504/FAIRsharing.t4nd3r","doi":"10.25504/FAIRsharing.t4nd3r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe cell lines, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases (especially with cell lines), the cells are also associated with a disease.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11908},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12499}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Functional Genomics","Life Science"],"domains":["Expression data","Reaction data","Cell line","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5754,"fairsharing_record_id":498,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:37.839Z","updated_at":"2021-09-30T09:27:37.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11563,"fairsharing_record_id":498,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.843Z","updated_at":"2024-03-21T13:58:57.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"499","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:12.000Z","updated_at":"2024-03-21T13:58:58.940Z","metadata":{"doi":"10.25504/FAIRsharing.rh0c0t","name":"LINCS Extended Metadata Standard: Differentiated Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Differentiated_Cell_Metadata_2017.pdf","citations":[],"identifier":499,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","abbreviation":"LINCS 2: Differentiated Cells","support_links":[{"url":"https://lincsproject.org/LINCS/files/Differentiated_Cell_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000654","bsg-s000654"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Differentiated Cells","abbreviation":"LINCS 2: Differentiated Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.rh0c0t","doi":"10.25504/FAIRsharing.rh0c0t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11897},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12491}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Reaction data","Stem cell","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5756,"fairsharing_record_id":499,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:37.948Z","updated_at":"2021-09-30T09:27:37.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11564,"fairsharing_record_id":499,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:58.594Z","updated_at":"2024-03-21T13:58:58.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"500","type":"fairsharing_records","attributes":{"created_at":"2016-05-03T22:31:06.000Z","updated_at":"2023-05-05T07:46:04.584Z","metadata":{"doi":"10.25504/FAIRsharing.bbb81t","name":"Minimum Information about a Stem Cell Experiment","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"RScheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"https://github.com/MISCE","citations":[],"identifier":500,"description":"MISCE recommends the standard information required to report a stem cell experiment, covering: study and experiment design, organism characterization, specimen isolation, cell isolation, cellular reprogramming, gene editing, cellular differentiation, genomic and pluripotency stability assays, and data analysis methods, if applicable.","abbreviation":"MISCE","year_creation":2016,"deprecation_date":"2023-05-03","deprecation_reason":"The MISCE homepage is no longer accessible, as there are no public repositories on https://github.com/MISCE. As we cannot find an alternative homepage, this resource has been marked as deprecated. Please get in touch if you have any information."},"legacy_ids":["bsg-000659","bsg-s000659"],"name":"FAIRsharing record for: Minimum Information about a Stem Cell Experiment","abbreviation":"MISCE","url":"https://fairsharing.org/10.25504/FAIRsharing.bbb81t","doi":"10.25504/FAIRsharing.bbb81t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MISCE recommends the standard information required to report a stem cell experiment, covering: study and experiment design, organism characterization, specimen isolation, cell isolation, cellular reprogramming, gene editing, cellular differentiation, genomic and pluripotency stability assays, and data analysis methods, if applicable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Bioinformatics"],"domains":["Data retrieval","Stem cell","Genome"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5757,"fairsharing_record_id":500,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:27:37.989Z","updated_at":"2021-09-30T09:27:37.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"475","type":"fairsharing_records","attributes":{"created_at":"2018-05-24T11:48:18.000Z","updated_at":"2024-05-02T14:36:40.916Z","metadata":{"doi":"10.25504/FAIRsharing.5bbab9","name":"JavaScript Object Notation","status":"ready","contacts":[{"contact_email":"json@ietf.org"}],"homepage":"http://dx.doi.org/10.17487/RFC8259","citations":[],"identifier":475,"description":"JavaScript Object Notation (JSON) is a lightweight, text-based, language-independent data interchange format. It was derived from the ECMAScript Programming Language Standard. JSON defines a small set of formatting rules for the portable representation of structured data. This RFC specification aims to remove inconsistencies with other specifications of JSON, repair specification errors, and offer experience-based interoperability guidance.","abbreviation":"JSON","support_links":[{"url":"helpdesk@ecma-international.org","name":"ECMA Specification Helpdesk","type":"Support email"},{"url":"https://www.json.org/json-en.html","name":"ECMA Specification Documentation","type":"Help documentation"},{"url":"https://www.rfc-editor.org/errata/rfc8259","name":"View RFC Errata","type":"Help documentation"},{"url":"https://fr.wikipedia.org/wiki/JavaScript_Object_Notation","name":"Wikipedia","type":"Wikipedia"}],"year_creation":2001,"cross_references":[{"url":"http://edamontology.org/format_3464","name":"EDAM","portal":"BioPortal"}]},"legacy_ids":["bsg-001212","bsg-s001212"],"name":"FAIRsharing record for: JavaScript Object Notation","abbreviation":"JSON","url":"https://fairsharing.org/10.25504/FAIRsharing.5bbab9","doi":"10.25504/FAIRsharing.5bbab9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JavaScript Object Notation (JSON) is a lightweight, text-based, language-independent data interchange format. It was derived from the ECMAScript Programming Language Standard. JSON defines a small set of formatting rules for the portable representation of structured data. This RFC specification aims to remove inconsistencies with other specifications of JSON, repair specification errors, and offer experience-based interoperability guidance.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18235},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13246},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14568},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14726}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":9451,"fairsharing_record_id":475,"organisation_id":3483,"relation":"associated_with","created_at":"2022-04-19T15:07:59.653Z","updated_at":"2022-04-19T15:07:59.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":3483,"name":"Netherlands X-Omics Initiative (partially funded by NWO, project no. 184.034.019)","types":["Research institute"],"is_lead":false,"relation":"associated_with"}},{"id":9450,"fairsharing_record_id":475,"organisation_id":2812,"relation":"funds","created_at":"2022-04-19T15:07:59.394Z","updated_at":"2022-04-19T15:07:59.394Z","grant_id":1858,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","grant":"846003201","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"476","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-17T08:33:11.594Z","metadata":{"doi":"10.25504/FAIRsharing.s63y3p","name":"SMART Protocols","status":"ready","contacts":[{"contact_name":"Olga Giraldo","contact_email":"oxgiraldo@gmail.com"}],"homepage":"https://smartprotocols.github.io/","citations":[],"identifier":476,"description":"The SeMAntic RepresenTation for Protocols, SMART Protocols, provides a structured OWL vocabulary of experimental protocols. SMART Protocols ontology includes two modules, SP-document and SP-workflow. SP-document, aims to provide a structured vocabulary of concepts to represent information necessary and sufficient for reporting an experimental protocol. SP-Workflow represents: i) the executable elements of a protocol, protocol instructions; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions.","abbreviation":"SP","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SP","name":"SP","portal":"BioPortal"}]},"legacy_ids":["bsg-001050","bsg-s001050"],"name":"FAIRsharing record for: SMART Protocols","abbreviation":"SP","url":"https://fairsharing.org/10.25504/FAIRsharing.s63y3p","doi":"10.25504/FAIRsharing.s63y3p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SeMAntic RepresenTation for Protocols, SMART Protocols, provides a structured OWL vocabulary of experimental protocols. SMART Protocols ontology includes two modules, SP-document and SP-workflow. SP-document, aims to provide a structured vocabulary of concepts to represent information necessary and sufficient for reporting an experimental protocol. SP-Workflow represents: i) the executable elements of a protocol, protocol instructions; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12121}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Biology"],"domains":["Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3801,"pubmed_id":null,"title":"Using semantics for representing experimental protocols","year":2017,"url":"http://dx.doi.org/10.1186/s13326-017-0160-y","authors":"Giraldo, Olga; García, Alexander; López, Federico; Corcho, Oscar; ","journal":"J Biomed Semant","doi":"10.1186/s13326-017-0160-y","created_at":"2023-03-17T08:30:21.319Z","updated_at":"2023-03-17T08:30:21.319Z"}],"licence_links":[],"grants":[{"id":10423,"fairsharing_record_id":476,"organisation_id":2968,"relation":"undefined","created_at":"2023-03-17T08:32:36.457Z","updated_at":"2023-03-17T08:32:36.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":2968,"name":"Universidad Politecnica de Madrid","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"477","type":"fairsharing_records","attributes":{"created_at":"2016-02-09T03:11:12.000Z","updated_at":"2023-09-09T07:48:42.101Z","metadata":{"doi":"10.25504/FAIRsharing.30vmv9","name":"BioSignalML Ontology","status":"ready","contacts":[{"contact_name":"David Brooks","contact_email":"d.brooks@auckland.ac.nz","contact_orcid":"0000-0002-6758-2186"}],"homepage":"https://www.biosignalml.org/ontologies/2011/04/biosignalml.html","citations":[],"identifier":477,"description":"An ontology for working with biosignals. This ontology defines concepts to describe the storage and exchange of biosignals, regardless of their underlying data format, and provides terms for common biosignal metadata.","abbreviation":null,"year_creation":2011,"associated_tools":[{"url":"https://github.com/BioSignalML/biosignalml-python","name":"Python library"},{"url":"https://github.com/BioSignalML/libbiosignalml","name":"C++ library"},{"url":"https://github.com/BioSignalML/biosignalml-browser","name":"PyQt based browser"}]},"legacy_ids":["bsg-000640","bsg-s000640"],"name":"FAIRsharing record for: BioSignalML Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.30vmv9","doi":"10.25504/FAIRsharing.30vmv9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for working with biosignals. This ontology defines concepts to describe the storage and exchange of biosignals, regardless of their underlying data format, and provides terms for common biosignal metadata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Electrophysiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["New Zealand"],"publications":[{"id":927,"pubmed_id":22255626,"title":"BioSignalML--a meta-model for biosignals.","year":2012,"url":"http://doi.org/10.1109/IEMBS.2011.6091372","authors":"Brooks DJ,Hunter PJ,Smaill BH,Titchener MR","journal":"Conf Proc IEEE Eng Med Biol Soc","doi":"10.1109/IEMBS.2011.6091372","created_at":"2021-09-30T08:24:02.555Z","updated_at":"2021-09-30T08:24:02.555Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1187,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":103,"relation":"undefined"}],"grants":[{"id":5731,"fairsharing_record_id":477,"organisation_id":134,"relation":"maintains","created_at":"2021-09-30T09:27:37.191Z","updated_at":"2021-09-30T09:27:37.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":134,"name":"Auckland Bioengineering Institute, New Zealand","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdDRDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--32639c60324da5b96c71282e1dd4d9d86eb932a5/BSMLLogo3.png?disposition=inline","exhaustive_licences":false}},{"id":"478","type":"fairsharing_records","attributes":{"created_at":"2017-01-16T14:40:51.000Z","updated_at":"2022-07-20T12:48:42.768Z","metadata":{"doi":"10.25504/FAIRsharing.haxp7g","name":"Feature Annotation Location Description Ontology","status":"ready","contacts":[{"contact_name":"Jerven Bolleman","contact_email":"jerven.bolleman@sib.swiss"}],"homepage":"http://biohackathon.org/resource/faldo","citations":[{"doi":"10.1186/s13326-016-0067-z","pubmed_id":27296299,"publication_id":1998}],"identifier":478,"description":"The Feature Annotation Location Description Ontology (FALDO), to describe the positions of annotated features on linear and circular sequences for data resources represented in RDF and/or OWL. FALDO can be used to describe nucleotide features in sequence records, protein annotations, and glycan binding sites, among other features in coordinate systems of the aforementioned “omics” areas. Using the same data format to represent sequence positions that are independent of file formats allows us to integrate sequence data from multiple sources and data types.","abbreviation":"FALDO","support_links":[{"url":"https://groups.google.com/forum/#!forum/faldo","name":"FALDO Google Group","type":"Forum"},{"url":"https://github.com/OBF/FALDO","name":"GitHub Issues at OBF Faldo","type":"Github"},{"url":"https://github.com/OBF/FALDO","name":"GitHub Project","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FALDO","name":"FALDO","portal":"BioPortal"}]},"legacy_ids":["bsg-000692","bsg-s000692"],"name":"FAIRsharing record for: Feature Annotation Location Description Ontology","abbreviation":"FALDO","url":"https://fairsharing.org/10.25504/FAIRsharing.haxp7g","doi":"10.25504/FAIRsharing.haxp7g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Feature Annotation Location Description Ontology (FALDO), to describe the positions of annotated features on linear and circular sequences for data resources represented in RDF and/or OWL. FALDO can be used to describe nucleotide features in sequence records, protein annotations, and glycan binding sites, among other features in coordinate systems of the aforementioned “omics” areas. Using the same data format to represent sequence positions that are independent of file formats allows us to integrate sequence data from multiple sources and data types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics"],"domains":["Nucleic acid sequence","Sequence annotation","Gene feature","Sequence feature","Binding site"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy","Japan","Netherlands","Switzerland","United Kingdom","United States"],"publications":[{"id":1998,"pubmed_id":27296299,"title":"FALDO: a semantic standard for describing the location of nucleotide and protein feature annotation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0067-z","authors":"Bolleman JT,Mungall CJ,Strozzi F,Baran J,Dumontier M,Bonnal RJ,Buels R,Hoehndorf R,Fujisawa T,Katayama T,Cock PJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0067-z","created_at":"2021-09-30T08:26:04.914Z","updated_at":"2021-09-30T08:26:04.914Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1,"relation":"undefined"}],"grants":[{"id":5732,"fairsharing_record_id":478,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:27:37.217Z","updated_at":"2021-09-30T09:27:37.217Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"493","type":"fairsharing_records","attributes":{"created_at":"2016-04-15T18:28:01.000Z","updated_at":"2022-07-20T09:04:35.617Z","metadata":{"doi":"10.25504/FAIRsharing.2gpf81","name":"eNanoMapper Ontology","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@maastrichtuniversity.nl","contact_orcid":"0000-0001-7542-0286"}],"homepage":"https://github.com/enanomapper/ontologies","citations":[],"identifier":493,"description":"The eNanoMapper ontology covers the full scope of terminology needed to support research into nanomaterial safety. It builds on multiple pre-existing external ontologies such as the NanoParticle Ontology.","abbreviation":"ENM","support_links":[{"url":"https://www.ebi.ac.uk/ols/beta/ontologies/enm","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/adding-ontology-terms","name":"Adding ontology terms","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/browsing-the-enanomapper-ontology-with-bioportal-aberowl-and-protege","name":"Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protg","type":"TeSS links to training materials"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ENM","name":"ENM","portal":"BioPortal"}]},"legacy_ids":["bsg-000647","bsg-s000647"],"name":"FAIRsharing record for: eNanoMapper Ontology","abbreviation":"ENM","url":"https://fairsharing.org/10.25504/FAIRsharing.2gpf81","doi":"10.25504/FAIRsharing.2gpf81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eNanoMapper ontology covers the full scope of terminology needed to support research into nanomaterial safety. It builds on multiple pre-existing external ontologies such as the NanoParticle Ontology.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10856},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11732}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Chemical entity","Nanoparticle"],"taxonomies":["Not applicable"],"user_defined_tags":["Nanosafety"],"countries":["European Union"],"publications":[{"id":1088,"pubmed_id":25815161,"title":"eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment.","year":2015,"url":"http://doi.org/10.1186/s13326-015-0005-5","authors":"Hastings J,Jeliazkova N,Owen G,Tsiliki G,Munteanu CR,Steinbeck C,Willighagen E","journal":"J Biomed Semantics","doi":"10.1186/s13326-015-0005-5","created_at":"2021-09-30T08:24:20.515Z","updated_at":"2021-09-30T08:24:20.515Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":822,"relation":"undefined"}],"grants":[{"id":5746,"fairsharing_record_id":493,"organisation_id":858,"relation":"maintains","created_at":"2021-09-30T09:27:37.567Z","updated_at":"2021-09-30T09:27:37.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":858,"name":"eNanoMapper","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9568,"fairsharing_record_id":493,"organisation_id":1929,"relation":"maintains","created_at":"2022-06-07T09:05:32.205Z","updated_at":"2022-06-07T09:05:32.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":1929,"name":"Nanocommons","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9570,"fairsharing_record_id":493,"organisation_id":920,"relation":"funds","created_at":"2022-06-07T09:16:11.967Z","updated_at":"2022-06-07T09:16:11.967Z","grant_id":85,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"604134","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9569,"fairsharing_record_id":493,"organisation_id":3546,"relation":"maintains","created_at":"2022-06-07T09:05:32.205Z","updated_at":"2022-06-07T09:05:32.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":3546,"name":"NanoSolveIT","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9571,"fairsharing_record_id":493,"organisation_id":912,"relation":"funds","created_at":"2022-06-07T09:16:12.003Z","updated_at":"2022-06-07T09:16:12.003Z","grant_id":197,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"731032","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9572,"fairsharing_record_id":493,"organisation_id":912,"relation":"funds","created_at":"2022-06-07T09:16:35.006Z","updated_at":"2022-06-07T09:16:35.006Z","grant_id":1873,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"731075","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9573,"fairsharing_record_id":493,"organisation_id":912,"relation":"funds","created_at":"2022-06-07T09:17:34.420Z","updated_at":"2022-06-07T09:17:34.420Z","grant_id":1874,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"814572","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"494","type":"fairsharing_records","attributes":{"created_at":"2018-03-13T19:37:11.000Z","updated_at":"2022-07-20T10:20:22.313Z","metadata":{"doi":"10.25504/FAIRsharing.9e9683","name":"Brachiaria Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_345:ROOT","citations":[],"identifier":494,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brachiaria Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_345","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help Page","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001140","bsg-s001140"],"name":"FAIRsharing record for: Brachiaria Ontology","abbreviation":"CO_345","url":"https://fairsharing.org/10.25504/FAIRsharing.9e9683","doi":"10.25504/FAIRsharing.9e9683","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brachiaria Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Brachiaria"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1119,"relation":"undefined"}],"grants":[{"id":5747,"fairsharing_record_id":494,"organisation_id":1476,"relation":"maintains","created_at":"2021-09-30T09:27:37.597Z","updated_at":"2021-09-30T09:27:37.597Z","grant_id":null,"is_lead":false,"saved_state":{"id":1476,"name":"International Center for Tropical Agriculture (CIAT), Colombia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"495","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:48:14.704Z","metadata":{"doi":"10.25504/FAIRsharing.4e3qh9","name":"Pearl Millet Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_327:ROOT","citations":[],"identifier":495,"description":"The goal of the CGIAR Pearl Millet Ontology is to help improve food security for subsistence smallholder farmers in East and West Africa with productive and nutritious pearl millet food and fodder production technologies.","abbreviation":"CO_327","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2017},"legacy_ids":["bsg-001105","bsg-s001105"],"name":"FAIRsharing record for: Pearl Millet Ontology","abbreviation":"CO_327","url":"https://fairsharing.org/10.25504/FAIRsharing.4e3qh9","doi":"10.25504/FAIRsharing.4e3qh9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the CGIAR Pearl Millet Ontology is to help improve food security for subsistence smallholder farmers in East and West Africa with productive and nutritious pearl millet food and fodder production technologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Phenotype"],"taxonomies":["Pennisetum glaucum"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1811,"relation":"undefined"}],"grants":[{"id":5749,"fairsharing_record_id":495,"organisation_id":1337,"relation":"maintains","created_at":"2021-09-30T09:27:37.678Z","updated_at":"2021-09-30T09:27:37.678Z","grant_id":null,"is_lead":false,"saved_state":{"id":1337,"name":"INERA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5750,"fairsharing_record_id":495,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:27:37.714Z","updated_at":"2021-09-30T09:27:37.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9301,"fairsharing_record_id":495,"organisation_id":485,"relation":"maintains","created_at":"2022-04-11T12:07:28.892Z","updated_at":"2022-04-11T12:07:28.892Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"496","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:20.000Z","updated_at":"2022-07-20T11:37:52.840Z","metadata":{"doi":"10.25504/FAIRsharing.4g5qcw","name":"Sweet Potato Ontology","status":"ready","contacts":[{"contact_name":"Vilma Hualla Mamani","contact_email":"V.Hualla@cgiar.org","contact_orcid":"0000-0003-0595-5271"}],"homepage":"https://cropontology.org/term/CO_331:ROOT","citations":[],"identifier":496,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sweet Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_331","support_links":[{"url":"r.simon@cgiar.org","name":"Reinhard Simon","type":"Support email"},{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000727","bsg-s000727"],"name":"FAIRsharing record for: Sweet Potato Ontology","abbreviation":"CO_331","url":"https://fairsharing.org/10.25504/FAIRsharing.4g5qcw","doi":"10.25504/FAIRsharing.4g5qcw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sweet Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food"],"taxonomies":["Ipomoea batatas"],"user_defined_tags":[],"countries":["Peru"],"publications":[{"id":2431,"pubmed_id":null,"title":"The Sweetpotato Ontology","year":2015,"url":"http://dcpapers.dublincore.org/pubs/article/viewFile/3782/1972","authors":"Vilma Rocio Hualla, Reinhard Simon, Robert Mwanga, Henry Saul Juarez Soto, Genoveva Rossel Montesinos","journal":"Proc. Int’l Conf. on Dublin Core and Metadata Applications 2015","doi":null,"created_at":"2021-09-30T08:26:58.269Z","updated_at":"2021-09-30T08:26:58.269Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1350,"relation":"undefined"}],"grants":[{"id":5751,"fairsharing_record_id":496,"organisation_id":1510,"relation":"maintains","created_at":"2021-09-30T09:27:37.743Z","updated_at":"2021-09-30T09:27:37.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":1510,"name":"International Potato Center (CIP), Peru","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"497","type":"fairsharing_records","attributes":{"created_at":"2020-12-16T11:20:42.000Z","updated_at":"2023-01-17T13:33:27.269Z","metadata":{"doi":"10.25504/FAIRsharing.3a96ae","name":"Chinese Agricultural Thesaurus","status":"deprecated","contacts":[{"contact_name":"Chinese Academy of Agricultural Sciences (CAAS)","contact_email":"diccaas@caas.net.cn"}],"homepage":"http://cat.aii.caas.cn/","citations":[],"identifier":497,"description":"The Chinese Agricultural Thesaurus (CAT) is an agricultural domain thesaurus. A number of international and national standards were adopted during its design and construction. CAT covers areas including agriculture, forestry, and biology. It is organized in 40 main categories, with most of the concepts having an English translation. The website is now longer resolving, and we cannot find a new homepage. Please get in touch with us if you have any information. ","abbreviation":"CAT","deprecation_date":"2023-01-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-001567","bsg-s001567"],"name":"FAIRsharing record for: Chinese Agricultural Thesaurus","abbreviation":"CAT","url":"https://fairsharing.org/10.25504/FAIRsharing.3a96ae","doi":"10.25504/FAIRsharing.3a96ae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chinese Agricultural Thesaurus (CAT) is an agricultural domain thesaurus. A number of international and national standards were adopted during its design and construction. CAT covers areas including agriculture, forestry, and biology. It is organized in 40 main categories, with most of the concepts having an English translation. The website is now longer resolving, and we cannot find a new homepage. Please get in touch with us if you have any information. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Forest Management","Agriculture","Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":5752,"fairsharing_record_id":497,"organisation_id":41,"relation":"maintains","created_at":"2021-09-30T09:27:37.767Z","updated_at":"2021-09-30T09:27:37.767Z","grant_id":null,"is_lead":true,"saved_state":{"id":41,"name":"Agricultural Information Institute of CAAS, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"474","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:20.018Z","metadata":{"doi":"10.25504/FAIRsharing.1h49c6","name":"Sleep Domain Units Ontology","status":"ready","contacts":[{"contact_name":"Sivaram Arabandi","contact_email":"sivaram.arabandi@gmail.com","contact_orcid":"0000-0002-2973-6228"}],"homepage":"http://bioportal.bioontology.org/ontologies/UNITSONT","identifier":474,"description":"An ontology for the units of measurement developed during the development of the Sleep Domain Ontology (SDO). It supports the use of SDO within the PhysioMIMI application. No official homepage for this resource can be found.","abbreviation":"UNITSONT","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UNITSONT","name":"UNITSONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002740","bsg-s002740"],"name":"FAIRsharing record for: Sleep Domain Units Ontology","abbreviation":"UNITSONT","url":"https://fairsharing.org/10.25504/FAIRsharing.1h49c6","doi":"10.25504/FAIRsharing.1h49c6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for the units of measurement developed during the development of the Sleep Domain Ontology (SDO). It supports the use of SDO within the PhysioMIMI application. No official homepage for this resource can be found.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Sleep","Unit","Measurement"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"621","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-05-20T06:45:39.700Z","metadata":{"doi":"10.25504/FAIRsharing.wjqnt4","name":"Multi-Omics Metadata Checklist","status":"deprecated","contacts":[{"contact_name":"Eugene Kolker","contact_email":"eugene.kolker@seattlechildrens.org"}],"homepage":"http://kolkerlab.org/publications/multi-omics-metadata-checklist","citations":[],"identifier":621,"description":"We have created a Multi-Omics Metadata checklist to ensure consistent data quality and comprehensive meta-data. We used previously developed data submission policies for PRIDE and GEO as starting points for gathering information on the experimental design, experimental protocols, instrumentation, data processing and analysis methods. Through DELSA community outreach and the Advisory Committee, we will continue to refine and finalize the Multi-Omics Metadata checklist using a combination of reputable ontologies available through Open Biological and Biomedical Ontologies, best community practices, and developments from the NSF-funded Research Data Alliance and GSC.","abbreviation":"MOMDC","support_links":[{"url":"kolker.lab@seattlechildrens.org","type":"Support email"}],"deprecation_date":"2022-05-18","deprecation_reason":"Although the publication describing the checklist is available, the homepage for the resource no longer exists, and the maintainer of the resource has not provided an alternative. If you have information regarding this resource, please get in touch."},"legacy_ids":["bsg-000533","bsg-s000533"],"name":"FAIRsharing record for: Multi-Omics Metadata Checklist","abbreviation":"MOMDC","url":"https://fairsharing.org/10.25504/FAIRsharing.wjqnt4","doi":"10.25504/FAIRsharing.wjqnt4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: We have created a Multi-Omics Metadata checklist to ensure consistent data quality and comprehensive meta-data. We used previously developed data submission policies for PRIDE and GEO as starting points for gathering information on the experimental design, experimental protocols, instrumentation, data processing and analysis methods. Through DELSA community outreach and the Advisory Committee, we will continue to refine and finalize the Multi-Omics Metadata checklist using a combination of reputable ontologies available through Open Biological and Biomedical Ontologies, best community practices, and developments from the NSF-funded Research Data Alliance and GSC.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12110}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":1838,"pubmed_id":24494788,"title":"OMICS studies: How about metadata checklist and data publications?","year":2014,"url":"http://doi.org/10.1021/pr4011662","authors":"Kolker E,Stewart E","journal":"J Proteome Res","doi":"10.1021/pr4011662","created_at":"2021-09-30T08:25:46.439Z","updated_at":"2021-09-30T08:25:46.439Z"},{"id":1861,"pubmed_id":27447252,"title":"Metadata Checklist for the Integrated Personal Omics Study: Proteomics and Metabolomics Experiments.","year":2013,"url":"http://doi.org/10.1089/big.2013.0040","authors":"Snyder M,Mias G,Stanberry L,Kolker E","journal":"Big Data","doi":"10.1089/big.2013.0040","created_at":"2021-09-30T08:25:49.073Z","updated_at":"2021-09-30T08:25:49.073Z"},{"id":1862,"pubmed_id":24910945,"title":"MOPED 2.5--an integrated multi-omics resource: multi-omics profiling expression database now includes transcriptomics data.","year":2014,"url":"http://doi.org/10.1089/omi.2014.0061","authors":"Montague E,Stanberry L,Higdon R,Janko I,Lee E,Anderson N,Choiniere J,Stewart E,Yandl G,Broomall W,Kolker N,Kolker E","journal":"OMICS","doi":"10.1089/omi.2014.0061","created_at":"2021-09-30T08:25:49.189Z","updated_at":"2021-09-30T08:25:49.189Z"},{"id":3367,"pubmed_id":null,"title":"Toward More Transparent and Reproducible Omics Studies Through a Common Metadata Checklist and Data Publications","year":2014,"url":"http://dx.doi.org/10.1089/omi.2013.0149","authors":"Kolker, Eugene; Özdemir, Vural; Martens, Lennart; Hancock, William; Anderson, Gordon; Anderson, Nathaniel; Aynacioglu, Sukru; Baranova, Ancha; Campagna, Shawn R.; Chen, Rui; Choiniere, John; Dearth, Stephen P.; Feng, Wu-Chun; Ferguson, Lynnette; Fox, Geoffrey; Frishman, Dmitrij; Grossman, Robert; Heath, Allison; Higdon, Roger; Hutz, Mara H.; Janko, Imre; Jiang, Lihua; Joshi, Sanjay; Kel, Alexander; Kemnitz, Joseph W.; Kohane, Isaac S.; Kolker, Natali; Lancet, Doron; Lee, Elaine; Li, Weizhong; Lisitsa, Andrey; Llerena, Adrian; MacNealy-Koch, Courtney; Marshall, Jean-Claude; Masuzzo, Paola; May, Amanda; Mias, George; Monroe, Matthew; Montague, Elizabeth; Mooney, Sean; Nesvizhskii, Alexey; Noronha, Santosh; Omenn, Gilbert; Rajasimha, Harsha; Ramamoorthy, Preveen; Sheehan, Jerry; Smarr, Larry; Smith, Charles V.; Smith, Todd; Snyder, Michael; Rapole, Srikanth; Srivastava, Sanjeeva; Stanberry, Larissa; Stewart, Elizabeth; Toppo, Stefano; Uetz, Peter; Verheggen, Kenneth; Voy, Brynn H.; Warnich, Louise; Wilhelm, Steven W.; Yandl, Gregory; ","journal":"OMICS: A Journal of Integrative Biology","doi":"10.1089/omi.2013.0149","created_at":"2022-05-18T10:53:06.457Z","updated_at":"2022-05-18T10:53:06.457Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"622","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.285Z","metadata":{"doi":"10.25504/FAIRsharing.ps501f","name":"BioPortal Metadata","status":"ready","contacts":[{"contact_name":"Natasha Noy","contact_email":"noy@stanford.edu","contact_orcid":"0000-0002-7437-0624"}],"homepage":"http://www.bioontology.org/wiki/index.php/BioPortal_Metadata","identifier":622,"description":"This ontology represents the structure that BioPortal uses to represent all of its metadata (ontology details, mappings, notes, reviews, views).","abbreviation":null,"support_links":[{"url":"http://bioportal.bioontology.org/feedback","type":"Contact form"},{"url":"http://www.bioontology.org/wiki/index.php/Architecture","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BP-METADATA","name":"BP-METADATA","portal":"BioPortal"}]},"legacy_ids":["bsg-002603","bsg-s002603"],"name":"FAIRsharing record for: BioPortal Metadata","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ps501f","doi":"10.25504/FAIRsharing.ps501f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology represents the structure that BioPortal uses to represent all of its metadata (ontology details, mappings, notes, reviews, views).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5960,"fairsharing_record_id":622,"organisation_id":273,"relation":"maintains","created_at":"2021-09-30T09:27:44.125Z","updated_at":"2021-09-30T09:27:44.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":273,"name":"BioPortal Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"623","type":"fairsharing_records","attributes":{"created_at":"2021-05-04T13:48:53.000Z","updated_at":"2022-12-27T17:19:42.167Z","metadata":{"name":"EnzymeML","status":"in_development","contacts":[{"contact_name":"Dr. Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://enzymeml.org/","citations":[],"identifier":623,"description":"EnzymeML is a free and open standard XML-based interchange format for data on enzyme-catalyzed reactions. The purpose of EnzymeML is to store and exchange enzyme kinetics data between instruments, software tools, and databases. EnzymeML will allow scientists to share their experimental protocols and results even if they are using different instruments, electronic laboratory notebooks, or databases. EnzymeML is compatible with the Systems Biology Markup Language (SBML). It continues to be evolved and expanded by an international community.","abbreviation":"EnzymeML","support_links":[{"url":"https://enzymeml.org/documents/guide/","name":"Software and Databases Guide","type":"Help documentation"},{"url":"https://github.com/EnzymeML","name":"GitHub Repository","type":"Github"},{"url":"https://twitter.com/EnzymeML","name":"@EnzymeML","type":"Twitter"}],"year_creation":2021,"associated_tools":[{"url":"https://github.com/EnzymeML/PyEnzyme/tree/main","name":"PyEnzyme 1.0"}]},"legacy_ids":["bsg-001612","bsg-s001612"],"name":"FAIRsharing record for: EnzymeML","abbreviation":"EnzymeML","url":"https://fairsharing.org/fairsharing_records/623","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EnzymeML is a free and open standard XML-based interchange format for data on enzyme-catalyzed reactions. The purpose of EnzymeML is to store and exchange enzyme kinetics data between instruments, software tools, and databases. EnzymeML will allow scientists to share their experimental protocols and results even if they are using different instruments, electronic laboratory notebooks, or databases. EnzymeML is compatible with the Systems Biology Markup Language (SBML). It continues to be evolved and expanded by an international community.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14559}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Integration","Data Quality","Enzymology","Data Visualization"],"domains":["Reaction data","Experimental measurement","Kinetic model","Data acquisition","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":5962,"fairsharing_record_id":623,"organisation_id":3094,"relation":"maintains","created_at":"2021-09-30T09:27:44.175Z","updated_at":"2021-09-30T09:27:44.175Z","grant_id":null,"is_lead":false,"saved_state":{"id":3094,"name":"University of Michigan Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5961,"fairsharing_record_id":623,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:27:44.150Z","updated_at":"2021-09-30T09:27:44.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5963,"fairsharing_record_id":623,"organisation_id":3128,"relation":"maintains","created_at":"2021-09-30T09:27:44.200Z","updated_at":"2021-09-30T09:27:44.200Z","grant_id":null,"is_lead":true,"saved_state":{"id":3128,"name":"University of Stuttgart","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5964,"fairsharing_record_id":623,"organisation_id":3062,"relation":"maintains","created_at":"2021-09-30T09:27:44.233Z","updated_at":"2021-09-30T09:27:44.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":3062,"name":"University of Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"625","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:40.000Z","updated_at":"2022-11-01T11:54:44.065Z","metadata":{"doi":"10.25504/FAIRsharing.jLpL6i","name":"FAIR Metrics - Use a Knowledge Representation Language","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_I1","citations":[],"identifier":625,"description":"FM-I1 provides a metric for the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. To this end, a URL to the specification of the language must be provided. This metric applies to part I1 of the FAIR Principles.","abbreviation":"FM-I1","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001350","bsg-s001350"],"name":"FAIRsharing record for: FAIR Metrics - Use a Knowledge Representation Language","abbreviation":"FM-I1","url":"https://fairsharing.org/10.25504/FAIRsharing.jLpL6i","doi":"10.25504/FAIRsharing.jLpL6i","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-I1 provides a metric for the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. To this end, a URL to the specification of the language must be provided. This metric applies to part I1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance","Ontology and Terminology"],"domains":["Resource metadata","Data identity and mapping","Digital curation","Knowledge representation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1410,"relation":"undefined"}],"grants":[{"id":5966,"fairsharing_record_id":625,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:44.335Z","updated_at":"2021-09-30T09:27:44.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5965,"fairsharing_record_id":625,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:44.259Z","updated_at":"2021-09-30T09:27:44.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5967,"fairsharing_record_id":625,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:44.368Z","updated_at":"2021-09-30T09:27:44.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5968,"fairsharing_record_id":625,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:44.429Z","updated_at":"2021-09-30T09:27:44.429Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"627","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T13:14:41.000Z","updated_at":"2022-07-20T09:41:59.870Z","metadata":{"doi":"10.25504/FAIRsharing.f21eae","name":"Standard-Thesaurus Wirtschaft Thesaurus for Economics","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"stw@zbw.eu"}],"homepage":"https://zbw.eu/stw/version/latest/about.en.html","citations":[],"identifier":627,"description":"The Standard-Thesaurus Wirtschaft (STW) Thesaurus for Economics contains terms relating to economics as well as technical terms used in law, sociology, politics, and geographic names. The STW Thesaurus for Economics is a bilingual thesaurus (German, English) for representing and searching economics-related content. It is used by universities, research institutes, public institutions and companies for knowledge organization and for research and development in computer and information science as well as in the area of Linked Data and Semantic Web technologies. The STW Thesaurus for Economics is part of the Linked Open Data Cloud and other information environments and web services for processing and linking economic literature, research data, author profiles and educational material.","abbreviation":"STW Thesaurus for Economics","support_links":[{"url":"http://www.zbw.eu/en/stw-info","name":"About STW","type":"Help documentation"}],"year_creation":1998},"legacy_ids":["bsg-001552","bsg-s001552"],"name":"FAIRsharing record for: Standard-Thesaurus Wirtschaft Thesaurus for Economics","abbreviation":"STW Thesaurus for Economics","url":"https://fairsharing.org/10.25504/FAIRsharing.f21eae","doi":"10.25504/FAIRsharing.f21eae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Standard-Thesaurus Wirtschaft (STW) Thesaurus for Economics contains terms relating to economics as well as technical terms used in law, sociology, politics, and geographic names. The STW Thesaurus for Economics is a bilingual thesaurus (German, English) for representing and searching economics-related content. It is used by universities, research institutes, public institutions and companies for knowledge organization and for research and development in computer and information science as well as in the area of Linked Data and Semantic Web technologies. The STW Thesaurus for Economics is part of the Linked Open Data Cloud and other information environments and web services for processing and linking economic literature, research data, author profiles and educational material.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Political Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":2229,"relation":"undefined"}],"grants":[{"id":5969,"fairsharing_record_id":627,"organisation_id":1696,"relation":"maintains","created_at":"2021-09-30T09:27:44.460Z","updated_at":"2021-09-30T09:27:44.460Z","grant_id":null,"is_lead":true,"saved_state":{"id":1696,"name":"Leibniz Information Centre for Economics (ZBW), Kiel, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"628","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-03-23T11:36:29.053Z","metadata":{"doi":"10.25504/FAIRsharing.7m85ax","name":"Taxonomy for Rehabilitation of Knee Conditions","status":"ready","contacts":[{"contact_name":"Irena Spasic","contact_email":"i.spasic@cs.cardiff.ac.uk"}],"homepage":"http://www.cs.cf.ac.uk/trak","citations":[],"identifier":628,"description":"TRAK (Taxonomy for RehAbilitation of Knee conditions) is an ontology that formally models information relevant for the rehabilitation of knee conditions. TRAK provides the framework that can be used to collect coded data in sufficient detail to support epidemiologic studies so that the most effective treatment components can be identified, new interventions developed and the quality of future randomized control trials improved to incorporate a control intervention that is well defined and reflects clinical practice.","abbreviation":"TRAK","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TRAK","name":"TRAK","portal":"BioPortal"}]},"legacy_ids":["bsg-000796","bsg-s000796"],"name":"FAIRsharing record for: Taxonomy for Rehabilitation of Knee Conditions","abbreviation":"TRAK","url":"https://fairsharing.org/10.25504/FAIRsharing.7m85ax","doi":"10.25504/FAIRsharing.7m85ax","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TRAK (Taxonomy for RehAbilitation of Knee conditions) is an ontology that formally models information relevant for the rehabilitation of knee conditions. TRAK provides the framework that can be used to collect coded data in sufficient detail to support epidemiologic studies so that the most effective treatment components can be identified, new interventions developed and the quality of future randomized control trials improved to incorporate a control intervention that is well defined and reflects clinical practice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Biomedical Science","Pain Medicine","Pathology"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Rehabilitation Medicine"],"countries":["United Kingdom"],"publications":[{"id":3819,"pubmed_id":23665300,"title":"TRAK ontology: defining standard care for the rehabilitation of knee conditions.","year":2013,"url":"https://doi.org/10.1016/j.jbi.2013.04.009","authors":"Button K, van Deursen RW, Soldatova L, Spasić I","journal":"Journal of biomedical informatics","doi":"10.1016/j.jbi.2013.04.009","created_at":"2023-03-23T11:22:17.024Z","updated_at":"2023-03-23T11:22:17.024Z"},{"id":3820,"pubmed_id":26347806,"title":"KneeTex: an ontology-driven system for information extraction from MRI reports.","year":2015,"url":"https://doi.org/10.1186/s13326-015-0033-1","authors":"Spasić I, Zhao B, Jones CB, Button K","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-015-0033-1","created_at":"2023-03-23T11:22:36.047Z","updated_at":"2023-03-23T11:22:36.047Z"},{"id":3821,"pubmed_id":26474643,"title":"TRAK App Suite: A Web-Based Intervention for Delivering Standard Care for the Rehabilitation of Knee Conditions.","year":2015,"url":"https://doi.org/10.2196/resprot.4091","authors":"Spasić I, Button K, Divoli A, Gupta S, Pataky T, Pizzocaro D, Preece A, van Deursen R, Wilson C","journal":"JMIR research protocols","doi":"10.2196/resprot.4091","created_at":"2023-03-23T11:22:59.813Z","updated_at":"2023-03-23T11:22:59.813Z"}],"licence_links":[],"grants":[{"id":10446,"fairsharing_record_id":628,"organisation_id":3926,"relation":"associated_with","created_at":"2023-03-23T11:24:45.152Z","updated_at":"2023-03-23T11:24:45.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":3926,"name":"Cardiff University","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"630","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-12-23T08:40:13.686Z","metadata":{"doi":"10.25504/FAIRsharing.38ph3j","name":"OntoPsychia, social module","status":"ready","contacts":[{"contact_name":"Jean Charlet","contact_email":"Jean.Charlet@upmc.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOPSYCHIA","citations":[],"identifier":630,"description":"Ontology of social and environmental determinants for psychiatry","abbreviation":"ONTOPSYCHIA","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOPSYCHIA","name":"ONTOPSYCHIA","portal":"BioPortal"}]},"legacy_ids":["bsg-000801","bsg-s000801"],"name":"FAIRsharing record for: OntoPsychia, social module","abbreviation":"ONTOPSYCHIA","url":"https://fairsharing.org/10.25504/FAIRsharing.38ph3j","doi":"10.25504/FAIRsharing.38ph3j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology of social and environmental determinants for psychiatry","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Psychiatry","Clinical Psychology","Systems Medicine","Medical Informatics"],"domains":["Monitoring","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"669","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:59:37.122Z","metadata":{"doi":"10.25504/FAIRsharing.j75srj","name":"Soybean Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"https://cropontology.org/term/CO_336:ROOT","citations":[],"identifier":669,"description":"The Soybean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_336","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001112","bsg-s001112"],"name":"FAIRsharing record for: Soybean Ontology","abbreviation":"CO_336","url":"https://fairsharing.org/10.25504/FAIRsharing.j75srj","doi":"10.25504/FAIRsharing.j75srj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Soybean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Glycine max"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1749,"relation":"undefined"}],"grants":[{"id":6020,"fairsharing_record_id":669,"organisation_id":485,"relation":"funds","created_at":"2021-09-30T09:27:46.268Z","updated_at":"2021-09-30T09:27:46.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6018,"fairsharing_record_id":669,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:27:46.218Z","updated_at":"2021-09-30T09:27:46.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6019,"fairsharing_record_id":669,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:27:46.244Z","updated_at":"2021-09-30T09:27:46.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"670","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-03-23T14:31:38.874Z","metadata":{"doi":"10.25504/FAIRsharing.b5yzzf","name":"Dependency Layered Ontology for Radiation Oncology","status":"ready","contacts":[{"contact_name":"alan kalet","contact_email":"amkalet@uw.edu"}],"homepage":"https://ont2bn.radonc.washington.edu/IROK/","citations":[],"identifier":670,"description":"Dependency Layered Ontology for Radiation Oncology","abbreviation":"DLORO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DLORO","name":"DLORO","portal":"BioPortal"}]},"legacy_ids":["bsg-001071","bsg-s001071"],"name":"FAIRsharing record for: Dependency Layered Ontology for Radiation Oncology","abbreviation":"DLORO","url":"https://fairsharing.org/10.25504/FAIRsharing.b5yzzf","doi":"10.25504/FAIRsharing.b5yzzf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dependency Layered Ontology for Radiation Oncology","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiation Oncology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3824,"pubmed_id":null,"title":"Developing Bayesian networks from a dependency‐layered ontology: A proof‐of‐concept in radiation oncology","year":2017,"url":"http://dx.doi.org/10.1002/mp.12340","authors":"Kalet, Alan M.; Doctor, Jason N.; Gennari, John H.; Phillips, Mark H.; ","journal":"Med. Phys.","doi":"10.1002/mp.12340","created_at":"2023-03-23T14:25:46.932Z","updated_at":"2023-03-23T14:25:46.932Z"}],"licence_links":[],"grants":[{"id":10448,"fairsharing_record_id":670,"organisation_id":3928,"relation":"maintains","created_at":"2023-03-23T14:30:01.172Z","updated_at":"2023-03-23T14:30:01.172Z","grant_id":null,"is_lead":false,"saved_state":{"id":3928,"name":"Department of Radiation Oncology, University of Washington Medical Center","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"671","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-06T14:56:29.842Z","metadata":{"doi":"10.25504/FAIRsharing.jgzts3","name":"Neuroimaging Informatics Technology Initiative","status":"ready","contacts":[{"contact_name":"Mark Jenkinson","contact_email":"mark@fmrib.ox.ac.uk","contact_orcid":"0000-0001-6043-0166"}],"homepage":"https://nifti.nimh.nih.gov/","citations":[],"identifier":671,"description":"The Neuroimaging Informatics Technology Initiative (NIfTI) is an open file format commonly used to store brain imaging data obtained using Magnetic Resonance Imaging methods.","abbreviation":"NIfTI","support_links":[{"url":"https://nifti.nimh.nih.gov/nifti-1/documentation/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://nifti.nimh.nih.gov/nifti-1/documentation/hbm_nifti_2004.pdf","type":"Help documentation"},{"url":"https://nifti.nimh.nih.gov/nifti-1/documentation/nifti1diagrams_v2.pdf","type":"Help documentation"},{"url":"https://nifti.nimh.nih.gov/background","name":"Background","type":"Help documentation"},{"url":"https://github.com/gllmflndn/gifti","type":"Github"}],"year_creation":2004},"legacy_ids":["bsg-000527","bsg-s000527"],"name":"FAIRsharing record for: Neuroimaging Informatics Technology Initiative","abbreviation":"NIfTI","url":"https://fairsharing.org/10.25504/FAIRsharing.jgzts3","doi":"10.25504/FAIRsharing.jgzts3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neuroimaging Informatics Technology Initiative (NIfTI) is an open file format commonly used to store brain imaging data obtained using Magnetic Resonance Imaging methods.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17347}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology"],"domains":["Medical imaging","Image","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6021,"fairsharing_record_id":671,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:46.332Z","updated_at":"2021-09-30T09:27:46.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10702,"fairsharing_record_id":671,"organisation_id":2022,"relation":"funds","created_at":"2023-06-27T08:50:53.423Z","updated_at":"2023-06-27T08:50:53.423Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10703,"fairsharing_record_id":671,"organisation_id":2023,"relation":"funds","created_at":"2023-06-27T08:50:53.426Z","updated_at":"2023-06-27T08:50:53.426Z","grant_id":null,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"672","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:56.000Z","updated_at":"2022-11-01T11:57:07.172Z","metadata":{"doi":"10.25504/FAIRsharing.B2sbNh","name":"FAIR Metrics - Use Qualified References","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_I3","citations":[],"identifier":672,"description":"FM-I3 is a metric concerned with relationships within (meta)data, and between local and third-party data, and whether or not they have explicit and ‘useful’ semantic meaning. One of the reasons that HTML is not suitable for machine-readable knowledge representation is that the hyperlinks between one document and another do not explain the nature of the relationship - it is “unqualified”. For Interoperability, the relationships within and between data must be more semantically rich than “is (somehow) related to”. Numerous ontologies include richer relationships that can be used for this purpose, at various levels of domain-specificity. For example, the use of skos for terminologies (e.g. exact matches), or the use of SIO for genomics (e.g. “has phenotype” for the relationship between a variant and its phenotypic consequences). The expectation is that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5-star linked data. Therefore linksets (in the formal sense) representing part or all of a resource must be provided. This metric applies to part I3 of the FAIR Principles.","abbreviation":"FM-I3","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001352","bsg-s001352"],"name":"FAIRsharing record for: FAIR Metrics - Use Qualified References","abbreviation":"FM-I3","url":"https://fairsharing.org/10.25504/FAIRsharing.B2sbNh","doi":"10.25504/FAIRsharing.B2sbNh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-I3 is a metric concerned with relationships within (meta)data, and between local and third-party data, and whether or not they have explicit and ‘useful’ semantic meaning. One of the reasons that HTML is not suitable for machine-readable knowledge representation is that the hyperlinks between one document and another do not explain the nature of the relationship - it is “unqualified”. For Interoperability, the relationships within and between data must be more semantically rich than “is (somehow) related to”. Numerous ontologies include richer relationships that can be used for this purpose, at various levels of domain-specificity. For example, the use of skos for terminologies (e.g. exact matches), or the use of SIO for genomics (e.g. “has phenotype” for the relationship between a variant and its phenotypic consequences). The expectation is that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5-star linked data. Therefore linksets (in the formal sense) representing part or all of a resource must be provided. This metric applies to part I3 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1414,"relation":"undefined"}],"grants":[{"id":6023,"fairsharing_record_id":672,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:46.403Z","updated_at":"2021-09-30T09:27:46.403Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6022,"fairsharing_record_id":672,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:46.372Z","updated_at":"2021-09-30T09:27:46.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6024,"fairsharing_record_id":672,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:46.427Z","updated_at":"2021-09-30T09:27:46.427Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6025,"fairsharing_record_id":672,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:46.451Z","updated_at":"2021-09-30T09:27:46.451Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"673","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-01-11T14:35:00.373Z","metadata":{"doi":"10.25504/FAIRsharing.r34hjr","name":"Minimal Standard Terminology of Digestive Endoscopy, French","status":"deprecated","contacts":[{"contact_name":"NLM Customer Service","contact_email":"jwillis@nlm.nih.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/MSTDE-FRE","citations":[],"identifier":673,"description":"Metathesaurus Version of Minimal Standard Terminology Digestive Endoscopy, French Translation, 2001","abbreviation":"MSTDE-FRE","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSTDE-FRE","name":"MSTDE-FRE","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"This resource no longer exists outside of BioPortal that we can find, and therefore has been deprecated. Please let us know if there is an official project page for this resource and we will update the status of the record."},"legacy_ids":["bsg-000820","bsg-s000820"],"name":"FAIRsharing record for: Minimal Standard Terminology of Digestive Endoscopy, French","abbreviation":"MSTDE-FRE","url":"https://fairsharing.org/10.25504/FAIRsharing.r34hjr","doi":"10.25504/FAIRsharing.r34hjr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metathesaurus Version of Minimal Standard Terminology Digestive Endoscopy, French Translation, 2001","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gastroenterology"],"domains":[],"taxonomies":["All"],"user_defined_tags":["endoscopy"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"674","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:37:13.000Z","updated_at":"2022-12-14T08:24:14.560Z","metadata":{"doi":"10.25504/FAIRsharing.lSuKtr","name":"IVOA Server-side Operations for Data Access","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SODA/index.html","citations":[{"publication_id":2941}],"identifier":674,"description":"This document describes the Server-side Operations for Data Access (SODA) web service capability. SODA is a low-level data access capability or server side data processing that can act upon the data files, performing various kinds of operations: filtering/subsection, transformations, pixel operations, and applying functions to the data.","abbreviation":"SODA","support_links":[{"url":"http://ivoa.net/documents/SODA/20170604/REC-SODA-1.0.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SODA","name":"SODA Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001159","bsg-s001159"],"name":"FAIRsharing record for: IVOA Server-side Operations for Data Access","abbreviation":"SODA","url":"https://fairsharing.org/10.25504/FAIRsharing.lSuKtr","doi":"10.25504/FAIRsharing.lSuKtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document describes the Server-side Operations for Data Access (SODA) web service capability. SODA is a low-level data access capability or server side data processing that can act upon the data files, performing various kinds of operations: filtering/subsection, transformations, pixel operations, and applying functions to the data.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11463}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2941,"pubmed_id":null,"title":"IVOA Server-side Operations for Data Access Version 1.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0517B","authors":"Bonnarel, François; Dowler, Patrick; Demleitner, Markus; Tody, Douglas; Dempsey, James","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.458Z","updated_at":"2021-09-30T08:28:02.458Z"}],"licence_links":[],"grants":[{"id":6026,"fairsharing_record_id":674,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:46.478Z","updated_at":"2021-09-30T09:27:46.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6027,"fairsharing_record_id":674,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:27:46.501Z","updated_at":"2021-09-30T09:27:46.501Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"675","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:37:04.336Z","metadata":{"doi":"10.25504/FAIRsharing.6mmbzs","name":"Protein-ligand interaction ontology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de"}],"homepage":"https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads.html","identifier":675,"description":"The protein--ligand interaction ontology (PLIO) was developed around three main concepts, namely target, ligand and interaction, and was enriched by adding synonyms, useful annotations and references. PLIO represents knowledge about the interaction of proteins and ligands (including drugs) and has a different scope and conceptual resolution than, for example, the molecular interaction ontology. An important feature of PLIO is that it links directly from an ontology framework describing protein–ligand interactions to the mathematical formulas relevant for the computation of some of the entities represented in the ontology.","abbreviation":"PLIO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PLIO","name":"PLIO","portal":"BioPortal"}]},"legacy_ids":["bsg-000926","bsg-s000926"],"name":"FAIRsharing record for: Protein-ligand interaction ontology","abbreviation":"PLIO","url":"https://fairsharing.org/10.25504/FAIRsharing.6mmbzs","doi":"10.25504/FAIRsharing.6mmbzs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The protein--ligand interaction ontology (PLIO) was developed around three main concepts, namely target, ligand and interaction, and was enriched by adding synonyms, useful annotations and references. PLIO represents knowledge about the interaction of proteins and ligands (including drugs) and has a different scope and conceptual resolution than, for example, the molecular interaction ontology. An important feature of PLIO is that it links directly from an ontology framework describing protein–ligand interactions to the mathematical formulas relevant for the computation of some of the entities represented in the ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Protein interaction","Ligand","Binding","Ligand binding domain binding","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1006,"pubmed_id":21546398,"title":"PLIO: an ontology for formal description of protein-ligand interactions.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr256","authors":"Ivchenko O,Younesi E,Shahid M,Wolf A,Muller B,Hofmann-Apitius M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr256","created_at":"2021-09-30T08:24:11.346Z","updated_at":"2021-09-30T08:24:11.346Z"}],"licence_links":[],"grants":[{"id":6029,"fairsharing_record_id":675,"organisation_id":296,"relation":"maintains","created_at":"2021-09-30T09:27:46.551Z","updated_at":"2021-09-30T09:27:46.551Z","grant_id":null,"is_lead":false,"saved_state":{"id":296,"name":"Bonn-Aachen International Center for Information Technology (b-it)","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6028,"fairsharing_record_id":675,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:46.528Z","updated_at":"2021-09-30T09:27:46.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6030,"fairsharing_record_id":675,"organisation_id":3021,"relation":"maintains","created_at":"2021-09-30T09:27:46.578Z","updated_at":"2021-09-30T09:27:46.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":3021,"name":"University of Bonn, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"653","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.560Z","metadata":{"doi":"10.25504/FAIRsharing.1mk4v9","name":"STrengthening the Reporting of OBservational studies in Epidemiology","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"strobe@ispm.unibe.ch"}],"homepage":"http://www.strobe-statement.org/","identifier":653,"description":"STROBE was created by an international, collaborative initiative of epidemiologists, methodologists, statisticians, researchers and journal editors involved in the conduct and dissemination of observational studies, with the common aim of STrengthening the Reporting of OBservational studies in Epidemiology.","abbreviation":"STROBE","support_links":[{"url":"http://www.strobe-statement.org/index.php?id=available-checklists","name":"STROBE checklists","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000064","bsg-s000064"],"name":"FAIRsharing record for: STrengthening the Reporting of OBservational studies in Epidemiology","abbreviation":"STROBE","url":"https://fairsharing.org/10.25504/FAIRsharing.1mk4v9","doi":"10.25504/FAIRsharing.1mk4v9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STROBE was created by an international, collaborative initiative of epidemiologists, methodologists, statisticians, researchers and journal editors involved in the conduct and dissemination of observational studies, with the common aim of STrengthening the Reporting of OBservational studies in Epidemiology.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17364},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11924},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12393}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Epidemiology"],"domains":["Disease onset","Observation design","Disease","Disease course"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":134,"pubmed_id":27270749,"title":"Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology (STROBE-nut): An Extension of the STROBE Statement","year":2016,"url":"http://doi.org/10.1371/journal.pmed.1002036","authors":"Lachat C, Hawwash D, Ocké MC, Berg C, Forsum E, Hörnell A, Larsson CL, Sonestedt E, Wirfält E, Åkesson A, Kolsteren P, Byrnes G, De Keyzer W, Van Camp J, Cade JE, Slimani N, Cevallos M, Egger M, Huybrechts I","journal":"Plos Medicine","doi":"10.1371/journal.pmed.1002036","created_at":"2021-09-30T08:22:34.681Z","updated_at":"2021-09-30T08:22:34.681Z"},{"id":938,"pubmed_id":18313558,"title":"The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.","year":2008,"url":"http://doi.org/10.1016/j.jclinepi.2007.11.008","authors":"von Elm E,Altman DG,Egger M,Pocock SJ,Gotzsche PC,Vandenbroucke JP","journal":"J Clin Epidemiol","doi":"10.1016/j.jclinepi.2007.11.008","created_at":"2021-09-30T08:24:03.771Z","updated_at":"2021-09-30T08:24:03.771Z"},{"id":939,"pubmed_id":29061635,"title":"The STROBE extensions: protocol for a qualitative assessment of content and a survey of endorsement.","year":2017,"url":"http://doi.org/10.1136/bmjopen-2017-019043","authors":"Sharp MK,Utrobicic A,Gomez G,Cobo E,Wager E,Hren D","journal":"BMJ Open","doi":"10.1136/bmjopen-2017-019043","created_at":"2021-09-30T08:24:03.879Z","updated_at":"2021-09-30T08:24:03.879Z"}],"licence_links":[],"grants":[{"id":5997,"fairsharing_record_id":653,"organisation_id":954,"relation":"funds","created_at":"2021-09-30T09:27:45.661Z","updated_at":"2021-09-30T09:27:45.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":954,"name":"European Science Foundation (ESF)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5999,"fairsharing_record_id":653,"organisation_id":2655,"relation":"maintains","created_at":"2021-09-30T09:27:45.743Z","updated_at":"2021-09-30T09:27:45.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2655,"name":"STROBE group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5995,"fairsharing_record_id":653,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:45.589Z","updated_at":"2021-09-30T09:27:45.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5996,"fairsharing_record_id":653,"organisation_id":1437,"relation":"maintains","created_at":"2021-09-30T09:27:45.624Z","updated_at":"2021-09-30T09:27:45.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":1437,"name":"Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5998,"fairsharing_record_id":653,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:45.713Z","updated_at":"2021-09-30T09:27:45.713Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"654","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-23T15:12:17.978Z","metadata":{"doi":"10.25504/FAIRsharing.shpqgt","name":"Halocynthia roretzi Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioelf-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":654,"description":"The first ontology describing the anatomy and the development of Halocynthia roretzi.","abbreviation":"HAROREADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HAROREADO","name":"HAROREADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000812","bsg-s000812"],"name":"FAIRsharing record for: Halocynthia roretzi Anatomy and Development Ontology","abbreviation":"HAROREADO","url":"https://fairsharing.org/10.25504/FAIRsharing.shpqgt","doi":"10.25504/FAIRsharing.shpqgt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Halocynthia roretzi.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Halocynthia roretzi"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10449,"fairsharing_record_id":654,"organisation_id":1974,"relation":"funds","created_at":"2023-03-23T15:11:44.589Z","updated_at":"2023-03-23T15:11:44.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"655","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-24T11:15:48.111Z","metadata":{"doi":"10.25504/FAIRsharing.g7y77y","name":"Ciona savignyi Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":655,"description":"The first ontology describing the anatomy and the development of Ciona savignyi, based on the Hotta developmental table.","abbreviation":"CISAVIADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CISAVIADO","name":"CISAVIADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000814","bsg-s000814"],"name":"FAIRsharing record for: Ciona savignyi Anatomy and Development Ontology","abbreviation":"CISAVIADO","url":"https://fairsharing.org/10.25504/FAIRsharing.g7y77y","doi":"10.25504/FAIRsharing.g7y77y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Ciona savignyi, based on the Hotta developmental table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Ciona savignyi"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10457,"fairsharing_record_id":655,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T11:15:22.940Z","updated_at":"2023-03-24T11:15:22.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"656","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:47.000Z","updated_at":"2022-11-01T11:57:20.015Z","metadata":{"doi":"10.25504/FAIRsharing.0A9kNV","name":"FAIR Metrics - Use FAIR Vocabularies","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_I2","citations":[],"identifier":656,"description":"FM-I2 is a metric concerning whether the metadata values and qualified relations of a resource are themselves FAIR, for example, terms from open, community-accepted vocabularies published in an appropriate knowledge-exchange format. It is not possible to unambiguously interpret metadata represented as simple keywords or other non-qualified symbols. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. As such, IRIs representing the vocabularies used for (meta)data must be provided. This metric applies to part I2 of the FAIR Principles.","abbreviation":"FM-I2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001351","bsg-s001351"],"name":"FAIRsharing record for: FAIR Metrics - Use FAIR Vocabularies","abbreviation":"FM-I2","url":"https://fairsharing.org/10.25504/FAIRsharing.0A9kNV","doi":"10.25504/FAIRsharing.0A9kNV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-I2 is a metric concerning whether the metadata values and qualified relations of a resource are themselves FAIR, for example, terms from open, community-accepted vocabularies published in an appropriate knowledge-exchange format. It is not possible to unambiguously interpret metadata represented as simple keywords or other non-qualified symbols. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. As such, IRIs representing the vocabularies used for (meta)data must be provided. This metric applies to part I2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1412,"relation":"undefined"}],"grants":[{"id":6002,"fairsharing_record_id":656,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:45.817Z","updated_at":"2021-09-30T09:27:45.817Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6000,"fairsharing_record_id":656,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:45.767Z","updated_at":"2021-09-30T09:27:45.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6001,"fairsharing_record_id":656,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:45.793Z","updated_at":"2021-09-30T09:27:45.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6003,"fairsharing_record_id":656,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:45.844Z","updated_at":"2021-09-30T09:27:45.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"657","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-12-23T18:06:59.327Z","metadata":{"doi":"10.25504/FAIRsharing.pzxjh","name":"Cerrado concepts and plant community dynamics","status":"ready","contacts":[{"contact_name":"Adriano Souza","contact_email":"souza.a@outlook.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/CCON","citations":[],"identifier":657,"description":"The ontology of Cerrado wood plant dynamics was created in order to represent the set of concepts about the dynamics, that is, changes over time of the wood vegetation structure, of Cerrado. Ccon describes the main parameters used to measure the changes, such as mortality rate and recruitment rate.","abbreviation":"CCON","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CCON","name":"CCON","portal":"BioPortal"}]},"legacy_ids":["bsg-000811","bsg-s000811"],"name":"FAIRsharing record for: Cerrado concepts and plant community dynamics","abbreviation":"CCON","url":"https://fairsharing.org/10.25504/FAIRsharing.pzxjh","doi":"10.25504/FAIRsharing.pzxjh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of Cerrado wood plant dynamics was created in order to represent the set of concepts about the dynamics, that is, changes over time of the wood vegetation structure, of Cerrado. Ccon describes the main parameters used to measure the changes, such as mortality rate and recruitment rate.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Plant Ecology","Population Dynamics","Biodiversity","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"658","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-09-28T13:01:25.676Z","metadata":{"doi":"10.25504/FAIRsharing.gdrs2p","name":"Semantic DICOM Ontology","status":"deprecated","contacts":[{"contact_name":"Detlef Grittner","contact_email":"detlef.grittner@sohard.de"}],"homepage":"http://semantic-dicom.org","citations":[],"identifier":658,"description":"An ontology for DICOM as used in the SeDI project.","abbreviation":"SEDI","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SEDI","name":"SEDI","portal":"BioPortal"}],"deprecation_date":"2022-09-28","deprecation_reason":"This resource can no longer be found via the project homepage, and the version available in BioPortal was last updated in 2015. As such we cannot state with confidence that this resource is ready."},"legacy_ids":["bsg-000886","bsg-s000886"],"name":"FAIRsharing record for: Semantic DICOM Ontology","abbreviation":"SEDI","url":"https://fairsharing.org/10.25504/FAIRsharing.gdrs2p","doi":"10.25504/FAIRsharing.gdrs2p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for DICOM as used in the SeDI project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"659","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:05:36.000Z","updated_at":"2022-07-20T11:44:33.861Z","metadata":{"name":"ICIS Germplasm Methods Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_040:ROOT","citations":[],"identifier":659,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The ICIS Germplasm Methods Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_040","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2011,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001171","bsg-s001171"],"name":"FAIRsharing record for: ICIS Germplasm Methods Ontology","abbreviation":"CO_040","url":"https://fairsharing.org/fairsharing_records/659","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The ICIS Germplasm Methods Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science","Plant Anatomy","Plant Cell Biology"],"domains":["Germplasm"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":14,"relation":"undefined"}],"grants":[{"id":6004,"fairsharing_record_id":659,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:45.867Z","updated_at":"2021-09-30T09:27:45.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"631","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-16T18:57:41.008Z","metadata":{"doi":"10.25504/FAIRsharing.bc8ayj","name":"Zebrafish Developmental Stages","status":"ready","contacts":[{"contact_name":"ZFIN administrators","contact_email":"zfinadmin@zfin.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/ZFS","citations":[],"identifier":631,"description":"An ontology of developmental stages of the Zebrafish (Danio rerio). Note that ZFA includes the leaf nodes of this ontology.","abbreviation":"ZFS","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZFS","name":"ZFS","portal":"BioPortal"}]},"legacy_ids":["bsg-000802","bsg-s000802"],"name":"FAIRsharing record for: Zebrafish Developmental Stages","abbreviation":"ZFS","url":"https://fairsharing.org/10.25504/FAIRsharing.bc8ayj","doi":"10.25504/FAIRsharing.bc8ayj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of developmental stages of the Zebrafish (Danio rerio). Note that ZFA includes the leaf nodes of this ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Zoology","Marine Biology","Developmental Biology"],"domains":["Aging","Life cycle"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10421,"fairsharing_record_id":631,"organisation_id":3110,"relation":"maintains","created_at":"2023-03-16T18:56:53.154Z","updated_at":"2023-03-16T18:56:53.154Z","grant_id":null,"is_lead":true,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"632","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-05-05T07:32:49.974Z","metadata":{"doi":"10.25504/FAIRsharing.9ry4cz","name":"GoMapMan","status":"ready","contacts":[{"contact_name":"Ziva Ramsak","contact_email":"ziva.ramsak@nib.si"}],"homepage":"https://gomapman.nib.si/","citations":[],"identifier":632,"description":"GoMapMan is an open web-accessible resource for gene functional annotations in the plant sciences. It was developed to facilitate improvement, consolidation and visualization of gene annotations across several plant species.","abbreviation":"GMM","data_curation":{"type":"not found"},"support_links":[{"url":"kristina.gruden@nib.si","name":"Kristina Gruden","type":"Support email"},{"url":"https://gomapman.nib.si/help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GMM","name":"GMM","portal":"BioPortal"}],"data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["bsg-000798","bsg-s000798"],"name":"FAIRsharing record for: GoMapMan","abbreviation":"GMM","url":"https://fairsharing.org/10.25504/FAIRsharing.9ry4cz","doi":"10.25504/FAIRsharing.9ry4cz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GoMapMan is an open web-accessible resource for gene functional annotations in the plant sciences. It was developed to facilitate improvement, consolidation and visualization of gene annotations across several plant species.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16719}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Functional Genomics","Proteomics","Plant Genetics"],"domains":["Gene functional annotation","Metabolite","Micro RNA","Gene"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Germany","Slovenia"],"publications":[{"id":3749,"pubmed_id":null,"title":"GoMapMan: integration, consolidation and visualization of plant gene annotations within the MapMan ontology","year":2013,"url":"http://dx.doi.org/10.1093/nar/gkt1056","authors":"Ramšak, Živa; Baebler, Špela; Rotter, Ana; Korbar, Matej; Mozetič, Igor; Usadel, Björn; Gruden, Kristina; ","journal":"Nucl. Acids Res.","doi":"10.1093/nar/gkt1056","created_at":"2022-12-23T11:27:41.201Z","updated_at":"2022-12-23T11:27:41.201Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":3049,"relation":"applies_to_content"}],"grants":[{"id":10256,"fairsharing_record_id":632,"organisation_id":3844,"relation":"maintains","created_at":"2022-12-23T11:34:09.183Z","updated_at":"2022-12-23T11:34:09.183Z","grant_id":null,"is_lead":true,"saved_state":{"id":3844,"name":"Jožef Stefan Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10257,"fairsharing_record_id":632,"organisation_id":3807,"relation":"funds","created_at":"2022-12-23T11:34:09.197Z","updated_at":"2022-12-23T11:34:09.197Z","grant_id":1920,"is_lead":false,"saved_state":{"id":3807,"name":"Slovenian Research Agency","grant":"Grants J4-2228, P2-0103","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBandDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1bf14cccff2db5791e6ee8bf87c8dc06ea1f391a/GMM%20RGB.png?disposition=inline","exhaustive_licences":true}},{"id":"634","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T11:13:54.093Z","metadata":{"doi":"10.25504/FAIRsharing.mp0rwf","name":"Ontology of Biological Attributes","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":null}],"homepage":"https://github.com/obophenotype/bio-attribute-ontology","citations":[],"identifier":634,"description":"A collection of biological attributes / traits covering all kingdoms of life. It is interoperable with a number of other community ontologies.","abbreviation":"OBA","support_links":[{"url":"http://wiki.geneontology.org/index.php/Extensions/x-attribute","name":"How OBA is used in GO","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBA","name":"OBA","portal":"BioPortal"}]},"legacy_ids":["bsg-000795","bsg-s000795"],"name":"FAIRsharing record for: Ontology of Biological Attributes","abbreviation":"OBA","url":"https://fairsharing.org/10.25504/FAIRsharing.mp0rwf","doi":"10.25504/FAIRsharing.mp0rwf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A collection of biological attributes / traits covering all kingdoms of life. It is interoperable with a number of other community ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2531,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"635","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-03-15T07:57:06.571Z","metadata":{"doi":"10.25504/FAIRsharing.ngn3a6","name":"Genome Component Ontology","status":"ready","contacts":[{"contact_name":"Zuotian Tatum","contact_email":"z.tatum@lumc.nl"}],"homepage":"http://bioportal.bioontology.org/ontologies/GCO","citations":[],"identifier":635,"description":"The Genome Component Ontology is intended to define the abstract division of the total genetic information of an organism by its physical separation into different components, thereby providing a high level reference point to which more specific descriptions of the characteristics of these components can be linked.","abbreviation":"GCO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GCO","name":"GCO","portal":"BioPortal"}]},"legacy_ids":["bsg-001066","bsg-s001066"],"name":"FAIRsharing record for: Genome Component Ontology","abbreviation":"GCO","url":"https://fairsharing.org/10.25504/FAIRsharing.ngn3a6","doi":"10.25504/FAIRsharing.ngn3a6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome Component Ontology is intended to define the abstract division of the total genetic information of an organism by its physical separation into different components, thereby providing a high level reference point to which more specific descriptions of the characteristics of these components can be linked.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10418,"fairsharing_record_id":635,"organisation_id":1705,"relation":"undefined","created_at":"2023-03-15T07:56:59.512Z","updated_at":"2023-03-15T07:56:59.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"636","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-23T15:19:33.691Z","metadata":{"doi":"10.25504/FAIRsharing.tz3682","name":"Phallusia fumigata Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":636,"description":"The first ontology describing the anatomy and the development of Phallusia fumigata.","abbreviation":"PHFUMIADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHFUMIADO","name":"PHFUMIADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000804","bsg-s000804"],"name":"FAIRsharing record for: Phallusia fumigata Anatomy and Development Ontology","abbreviation":"PHFUMIADO","url":"https://fairsharing.org/10.25504/FAIRsharing.tz3682","doi":"10.25504/FAIRsharing.tz3682","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Phallusia fumigata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Phallusia fumigata"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10450,"fairsharing_record_id":636,"organisation_id":1974,"relation":"funds","created_at":"2023-03-23T15:18:02.444Z","updated_at":"2023-03-23T15:18:02.444Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"638","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2024-03-01T09:26:26.262Z","metadata":{"doi":"10.25504/FAIRsharing.dzxae","name":"Food Ontology","status":"ready","contacts":[{"contact_name":"Damion Dooley","contact_email":"damion.dooley@bccdc.ca","contact_orcid":"0000-0002-8844-9165"}],"homepage":"https://foodon.org/","citations":[{"doi":"10.1038/s41538-018-0032-6","pubmed_id":31304272,"publication_id":2680}],"identifier":638,"description":"The need to represent knowledge about food is central to many human activities including agriculture, medicine, food safety inspection, shopping patterns, and sustainable development. FoodOn is built to interoperate with the OBO Library and to represent entities which bear a food role. Initially the ontology will focus on the human-centric categorization and handling of food, but in the future it will also encompass materials in natural ecosystems and food webs. We aim to develop semantics for food safety, food security, the agricultural and animal husbandry practices linked to food production, culinary, nutritional and chemical ingredients and processes.","abbreviation":"FOODON","support_links":[{"url":"info@genepio.org","name":"Contact","type":"Support email"},{"url":"https://foodon.org/design/","name":"FoodOn Design","type":"Help documentation"},{"url":"https://groups.google.com/forum/#!forum/foodon-consortium/","name":"Google mailing list","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/ols/ontologies/foodon","name":"EBI Ontology Lookup Service: FoodOn","type":"Help documentation"},{"url":"http://www.ontobee.org/ontology/FOODON","name":"Ontobee Linked Data Server: FoodOn","type":"Help documentation"},{"url":"https://github.com/FoodOntology/foodon","name":"GitHub Repository","type":"Github"},{"url":"https://foodon.org/reuse/","name":"FoodOn Reuse","type":"Help documentation"},{"url":"https://foodon.org/curation-rules/","name":"Curation rules","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FOODON","name":"FOODON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/foodon.html","name":"foodon","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000831","bsg-s000831"],"name":"FAIRsharing record for: Food Ontology","abbreviation":"FOODON","url":"https://fairsharing.org/10.25504/FAIRsharing.dzxae","doi":"10.25504/FAIRsharing.dzxae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The need to represent knowledge about food is central to many human activities including agriculture, medicine, food safety inspection, shopping patterns, and sustainable development. FoodOn is built to interoperate with the OBO Library and to represent entities which bear a food role. Initially the ontology will focus on the human-centric categorization and handling of food, but in the future it will also encompass materials in natural ecosystems and food webs. We aim to develop semantics for food safety, food security, the agricultural and animal husbandry practices linked to food production, culinary, nutritional and chemical ingredients and processes.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17361},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14553}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Environmental Science","Medicine","Agriculture"],"domains":["Sustainability","Food","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Germany","Saudi Arabia","United States"],"publications":[{"id":2381,"pubmed_id":28694792,"title":"Context Is Everything: Harmonization of Critical Food Microbiology Descriptors and Metadata for Improved Food Safety and Surveillance.","year":2017,"url":"http://doi.org/10.3389/fmicb.2017.01068","authors":"Griffiths E,Dooley D,Graham M,Van Domselaar G,Brinkman FSL,Hsiao WWL","journal":"Front Microbiol","doi":"10.3389/fmicb.2017.01068","created_at":"2021-09-30T08:26:52.567Z","updated_at":"2021-09-30T08:26:52.567Z"},{"id":2680,"pubmed_id":31304272,"title":"FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration.","year":2019,"url":"http://doi.org/10.1038/s41538-018-0032-6","authors":"Dooley DM,Griffiths EJ,Gosal GS,Buttigieg PL,Hoehndorf R,Lange MC,Schriml LM,Brinkman FSL,Hsiao WWL","journal":"NPJ Sci Food","doi":"10.1038/s41538-018-0032-6","created_at":"2021-09-30T08:27:29.138Z","updated_at":"2021-09-30T08:27:29.138Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1839,"relation":"undefined"}],"grants":[{"id":5970,"fairsharing_record_id":638,"organisation_id":2135,"relation":"funds","created_at":"2021-09-30T09:27:44.483Z","updated_at":"2021-09-30T09:27:44.483Z","grant_id":null,"is_lead":false,"saved_state":{"id":2135,"name":"Networks of Centres of Excellence of Canada, Ottawa, ON, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5972,"fairsharing_record_id":638,"organisation_id":62,"relation":"funds","created_at":"2021-09-30T09:27:44.533Z","updated_at":"2021-09-30T09:27:44.533Z","grant_id":null,"is_lead":false,"saved_state":{"id":62,"name":"AllerGen NCE, Hamilton, ON, Canada","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5971,"fairsharing_record_id":638,"organisation_id":1110,"relation":"funds","created_at":"2021-09-30T09:27:44.509Z","updated_at":"2021-09-30T09:29:30.744Z","grant_id":278,"is_lead":false,"saved_state":{"id":1110,"name":"Genome Canada BCB 2015, Canada","grant":"#254EPI","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"660","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:31:33.000Z","updated_at":"2021-11-24T13:18:39.840Z","metadata":{"doi":"10.25504/FAIRsharing.6eg9a3","name":"Big Gene Prediction","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigGenePred.html","identifier":660,"description":"The bigGenePred format stores annotation items that are a linked collection of exons, much as BED files indexed as bigBeds do. However, the bigGenePred format includes 8 additional fields that contain details about coding frames and other gene-specific information.","abbreviation":"bigGenePred","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"bedToBigBed"}]},"legacy_ids":["bsg-000695","bsg-s000695"],"name":"FAIRsharing record for: Big Gene Prediction","abbreviation":"bigGenePred","url":"https://fairsharing.org/10.25504/FAIRsharing.6eg9a3","doi":"10.25504/FAIRsharing.6eg9a3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigGenePred format stores annotation items that are a linked collection of exons, much as BED files indexed as bigBeds do. However, the bigGenePred format includes 8 additional fields that contain details about coding frames and other gene-specific information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Gene prediction","Exon","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6005,"fairsharing_record_id":660,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:45.893Z","updated_at":"2021-09-30T09:27:45.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"661","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:04.000Z","updated_at":"2022-11-01T11:54:34.305Z","metadata":{"doi":"10.25504/FAIRsharing.Lcws1N","name":"FAIR Metrics - Indexed in a searchable resource","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F4","citations":[],"identifier":661,"description":"FM-F4 provides a measurement of the degree to which the digital resource can be found using web-based search engines. Most people use a search engine to initiate a search for a particular digital resource of interest. If the resource or its metadata are not indexed by web search engines, then this would substantially diminish an individual’s ability to find and reuse it. Thus, the ability to discover the resource should be tested using i) its identifier, ii) other text-based metadata. The persistent identifier of the resource and one or more URLs that give search results of different search engines must be provided. This metric applies to part F4 of the FAIR Principles.","abbreviation":"FM-F4","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001346","bsg-s001346"],"name":"FAIRsharing record for: FAIR Metrics - Indexed in a searchable resource","abbreviation":"FM-F4","url":"https://fairsharing.org/10.25504/FAIRsharing.Lcws1N","doi":"10.25504/FAIRsharing.Lcws1N","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-F4 provides a measurement of the degree to which the digital resource can be found using web-based search engines. Most people use a search engine to initiate a search for a particular digital resource of interest. If the resource or its metadata are not indexed by web search engines, then this would substantially diminish an individual’s ability to find and reuse it. Thus, the ability to discover the resource should be tested using i) its identifier, ii) other text-based metadata. The persistent identifier of the resource and one or more URLs that give search results of different search engines must be provided. This metric applies to part F4 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1413,"relation":"undefined"}],"grants":[{"id":6008,"fairsharing_record_id":661,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:45.967Z","updated_at":"2021-09-30T09:27:45.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6006,"fairsharing_record_id":661,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:45.917Z","updated_at":"2021-09-30T09:27:45.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6007,"fairsharing_record_id":661,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:45.944Z","updated_at":"2021-09-30T09:27:45.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6009,"fairsharing_record_id":661,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:45.993Z","updated_at":"2021-09-30T09:27:45.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"662","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T19:08:42.000Z","updated_at":"2023-10-02T07:44:17.625Z","metadata":{"doi":"10.25504/FAIRsharing.4c40ed","name":"General Ontology for Linguistic Description","status":"ready","contacts":[{"contact_name":"GOLD@CLARIN","contact_email":"gold@clarin.eu","contact_orcid":null}],"homepage":"http://www.linguistics-ontology.org/info/about","citations":[],"identifier":662,"description":"GOLD is an ontology for encoding linguistic data. It gives a formalized account of the most basic categories and relations used in the scientific description of human language. GOLD will facilitate automated reasoning over linguistic data and help establish the basic concepts through which intelligent search can be carried out. GOLD is meant to be compatible with the general goals of the Semantic Web.\n\nThe maintenance of GOLD is in the process of being transferred from the Linguist List to CLARIN-ERIC. Please bear with us while the new locations and repositories are established.","abbreviation":"GOLD","support_links":[{"url":"http://linguistics-ontology.org/info/about","name":"About GOLD","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"https://scholars.sil.org/gary_f_simons/workpaper/metaschema","name":"SIL"},{"url":"https://www.clarin.eu/content/clarin-concept-registry","name":"CLARIN Concept Registry"}]},"legacy_ids":["bsg-001241","bsg-s001241"],"name":"FAIRsharing record for: General Ontology for Linguistic Description","abbreviation":"GOLD","url":"https://fairsharing.org/10.25504/FAIRsharing.4c40ed","doi":"10.25504/FAIRsharing.4c40ed","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GOLD is an ontology for encoding linguistic data. It gives a formalized account of the most basic categories and relations used in the scientific description of human language. GOLD will facilitate automated reasoning over linguistic data and help establish the basic concepts through which intelligent search can be carried out. GOLD is meant to be compatible with the general goals of the Semantic Web.\n\nThe maintenance of GOLD is in the process of being transferred from the Linguist List to CLARIN-ERIC. Please bear with us while the new locations and repositories are established.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Natural language processing","Classification"],"taxonomies":["Not applicable"],"user_defined_tags":["Interoperability"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":152,"relation":"undefined"}],"grants":[{"id":10961,"fairsharing_record_id":662,"organisation_id":566,"relation":"maintains","created_at":"2023-09-28T12:57:09.524Z","updated_at":"2023-09-28T12:57:09.524Z","grant_id":null,"is_lead":true,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure, European Research Infrastructure Consortium, Utrecht University","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"663","type":"fairsharing_records","attributes":{"created_at":"2018-12-10T16:47:46.000Z","updated_at":"2021-11-24T13:17:40.600Z","metadata":{"name":"Resource Description Framework in Attributes","status":"ready","contacts":[{"contact_name":"Ivan Herman","contact_email":"ivan@w3.org","contact_orcid":"0000-0003-0782-2704"}],"homepage":"https://www.w3.org/TR/rdfa-primer/","identifier":663,"description":"RDFa is an extension to HTML5 that helps you markup things like People, Places, Events, Recipes and Reviews. Search Engines and Web Services use this markup to generate better search listings and give you better visibility on the Web, so that people can find your website more easily.","abbreviation":"RDFa","support_links":[{"url":"public-rdfa@w3.org","name":"Public discussion","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/RDFa_1.1._Errata","name":"RDFa 1.1. Errata","type":"Help documentation"},{"url":"https://lists.w3.org/Archives/Public/public-rdfa/","name":"Mail Archives","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001338","bsg-s001338"],"name":"FAIRsharing record for: Resource Description Framework in Attributes","abbreviation":"RDFa","url":"https://fairsharing.org/fairsharing_records/663","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDFa is an extension to HTML5 that helps you markup things like People, Places, Events, Recipes and Reviews. Search Engines and Web Services use this markup to generate better search listings and give you better visibility on the Web, so that people can find your website more easily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":[],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":662,"relation":"undefined"},{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":663,"relation":"undefined"}],"grants":[{"id":6012,"fairsharing_record_id":663,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:46.067Z","updated_at":"2021-09-30T09:27:46.067Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"664","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:39.915Z","metadata":{"doi":"10.25504/FAIRsharing.mg1mdc","name":"A Gold Path format","status":"ready","contacts":[{"contact_name":"NCBI Genbank","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/assembly/agp/AGP_Specification/","identifier":664,"description":"AGP format describes the assembly of a larger sequence object from smaller objects. The large object can be a contig, a scaffold (supercontig), or a chromosome. Each line (row) of the AGP file describes a different piece of the object, and has the column entries defined below. Extended comments follow. It does not serve for either a description of how sequence reads were assembled, or a description of the alignments between components used to construct a larger object. Not all of the information in proprietary assembly files can be represented in the AGP format. It is also not for recording the spans of features like repeats or genes.","abbreviation":"AGP format"},"legacy_ids":["bsg-000522","bsg-s000522"],"name":"FAIRsharing record for: A Gold Path format","abbreviation":"AGP format","url":"https://fairsharing.org/10.25504/FAIRsharing.mg1mdc","doi":"10.25504/FAIRsharing.mg1mdc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AGP format describes the assembly of a larger sequence object from smaller objects. The large object can be a contig, a scaffold (supercontig), or a chromosome. Each line (row) of the AGP file describes a different piece of the object, and has the column entries defined below. Extended comments follow. It does not serve for either a description of how sequence reads were assembled, or a description of the alignments between components used to construct a larger object. Not all of the information in proprietary assembly files can be represented in the AGP format. It is also not for recording the spans of features like repeats or genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Genomic assembly"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":513,"relation":"undefined"}],"grants":[{"id":6014,"fairsharing_record_id":664,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:46.117Z","updated_at":"2021-09-30T09:27:46.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6013,"fairsharing_record_id":664,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:46.093Z","updated_at":"2021-09-30T09:27:46.093Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"642","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T12:16:11.075Z","metadata":{"doi":"10.25504/FAIRsharing.gdszhh","name":"Banana Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"https://cropontology.org/term/CO_325:ROOT","citations":[],"identifier":642,"description":"The Banana Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_325","support_links":[{"url":"i.vandenbergh@cgiar.org","name":"Inge van den Bergh","type":"Support email"},{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001125","bsg-s001125"],"name":"FAIRsharing record for: Banana Ontology","abbreviation":"CO_325","url":"https://fairsharing.org/10.25504/FAIRsharing.gdszhh","doi":"10.25504/FAIRsharing.gdszhh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Musa"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1820,"relation":"undefined"}],"grants":[{"id":5980,"fairsharing_record_id":642,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:27:44.879Z","updated_at":"2021-09-30T09:27:44.879Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5978,"fairsharing_record_id":642,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:44.798Z","updated_at":"2021-09-30T09:27:44.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5979,"fairsharing_record_id":642,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:27:44.839Z","updated_at":"2021-09-30T09:27:44.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5981,"fairsharing_record_id":642,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:44.923Z","updated_at":"2021-09-30T09:27:44.923Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"643","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-18T08:52:06.519Z","metadata":{"doi":"10.25504/FAIRsharing.z0p37e","name":"Ontology for Modeling and Representation of Social Entities","status":"ready","contacts":[{"contact_name":"William Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":"0000-0002-9881-1017"}],"homepage":"https://github.com/mcwdsi/OMRSE","citations":[],"identifier":643,"description":"The Ontology for Modeling and Representation of Social Entities (OMRSE) is an OBO Foundry ontology that represents the various entities that arise from human social interactions, such as social acts, social roles, social groups, and organizations. For more information on the social entities represented in OMRSE, please visit our wiki page or list of publications. OMRSE is designed to be a mid-level ontology that bridges the gap between BFO, which it reuses for its top-level hierarchy, and more specific domain or application ontologies. For this reason, we are always open to working with ontology developers who want to build interoperability between their projects and OMRSE.","abbreviation":"OMRSE","support_links":[{"url":"https://github.com/mcwdsi/OMRSE/issues","name":"Issue tracker","type":"Github"},{"url":"http://groups.google.com/group/omrse-discuss","name":"Google Group","type":"Forum"},{"url":"https://github.com/mcwdsi/OMRSE/wiki/OMRSE-Overview","name":"Wiki Overview Page","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMRSE","name":"OMRSE","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/omrse.html","name":"omrse","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000097","bsg-s000097"],"name":"FAIRsharing record for: Ontology for Modeling and Representation of Social Entities","abbreviation":"OMRSE","url":"https://fairsharing.org/10.25504/FAIRsharing.z0p37e","doi":"10.25504/FAIRsharing.z0p37e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Modeling and Representation of Social Entities (OMRSE) is an OBO Foundry ontology that represents the various entities that arise from human social interactions, such as social acts, social roles, social groups, and organizations. For more information on the social entities represented in OMRSE, please visit our wiki page or list of publications. OMRSE is designed to be a mid-level ontology that bridges the gap between BFO, which it reuses for its top-level hierarchy, and more specific domain or application ontologies. For this reason, we are always open to working with ontology developers who want to build interoperability between their projects and OMRSE.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11976},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12424}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Social Science","Health Science","Biomedical Science"],"domains":["Patient care","Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1503,"pubmed_id":27406187,"title":"The ontology of medically related social entities: recent developments.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0087-8","authors":"Hicks A,Hanna J,Welch D,Brochhausen M,Hogan WR","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0087-8","created_at":"2021-09-30T08:25:08.268Z","updated_at":"2021-09-30T08:25:08.268Z"},{"id":4015,"pubmed_id":null,"title":"An Ontological Representation of Money with a View Toward Economic Determinants of Health","year":2022,"url":"https://icbo-conference.github.io/icbo2022/papers/ICBO-2022_paper_8682.pdf","authors":"Diller M, Hogan WR","journal":"Proceedings of the International Conference on Biomedical Ontology (ICBO) 2022","doi":"","created_at":"2023-10-16T14:44:35.822Z","updated_at":"2023-10-16T14:44:35.822Z"},{"id":4016,"pubmed_id":null,"title":"Using Ontologies to Enhance Data on Intimate Partner Violence","year":2022,"url":"https://icbo-conference.github.io/icbo2022/papers/ICBO-2022_paper_6874.pdf","authors":"Dowland SC, Hogan WR","journal":"Proceedings of the International Conference on Biomedical Ontology (ICBO) 2022","doi":"","created_at":"2023-10-16T14:45:28.633Z","updated_at":"2023-10-16T14:45:28.633Z"},{"id":4017,"pubmed_id":null,"title":"Representing the Reality Underlying Demographic Data","year":2011,"url":"https://ceur-ws.org/Vol-833/paper20.pdf","authors":"Hogan WR, Garimalla S, Tariq SA","journal":"Proceedings of the International Conference on Biomedical Ontology (ICBO) 2011","doi":"","created_at":"2023-10-16T14:47:11.939Z","updated_at":"2023-10-16T14:47:11.939Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2664,"relation":"applies_to_content"}],"grants":[{"id":5986,"fairsharing_record_id":643,"organisation_id":1041,"relation":"funds","created_at":"2021-09-30T09:27:45.291Z","updated_at":"2021-09-30T09:32:49.964Z","grant_id":1797,"is_lead":false,"saved_state":{"id":1041,"name":"Foundation for Biomedical Research, Washington, USA","grant":"Program 4KB16","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5984,"fairsharing_record_id":643,"organisation_id":3014,"relation":"funds","created_at":"2021-09-30T09:27:45.028Z","updated_at":"2021-09-30T09:30:43.645Z","grant_id":841,"is_lead":false,"saved_state":{"id":3014,"name":"University of Arkansas for Medical Sciences","grant":"UL1 TR000039","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8207,"fairsharing_record_id":643,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:31:31.837Z","updated_at":"2021-09-30T09:31:31.898Z","grant_id":1211,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences","grant":"UL1 TR000064","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8352,"fairsharing_record_id":643,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:32:14.110Z","updated_at":"2021-09-30T09:32:14.165Z","grant_id":1528,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences","grant":"UL1TR001427","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11007,"fairsharing_record_id":643,"organisation_id":1810,"relation":"maintains","created_at":"2023-10-16T14:48:19.146Z","updated_at":"2023-10-16T14:48:19.146Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5987,"fairsharing_record_id":643,"organisation_id":2242,"relation":"maintains","created_at":"2021-09-30T09:27:45.328Z","updated_at":"2021-09-30T09:27:45.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":2242,"name":"OMRSE administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5985,"fairsharing_record_id":643,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:45.238Z","updated_at":"2021-09-30T09:32:25.571Z","grant_id":1614,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"1R01GM111324","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11006,"fairsharing_record_id":643,"organisation_id":3055,"relation":"collaborates_on","created_at":"2023-10-16T14:48:19.146Z","updated_at":"2023-10-16T14:48:19.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":5982,"fairsharing_record_id":643,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:44.962Z","updated_at":"2021-09-30T09:30:43.628Z","grant_id":841,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences","grant":"UL1 TR000039","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"644","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-07-20T09:02:50.912Z","metadata":{"doi":"10.25504/FAIRsharing.e3t0yw","name":"Confidence Information Ontology","status":"ready","contacts":[{"contact_name":"Frederic Bastian","contact_email":"frederic.bastian@unil.ch"}],"homepage":"https://github.com/BgeeDB/confidence-information-ontology","citations":[],"identifier":644,"description":"The Confidence Information Ontology (CIO) is an ontology to capture confidence information about annotations. Please note that the last update to the ontology files were in 2015.","abbreviation":"CIO","support_links":[],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIO","name":"CIO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/cio","name":"CIO in OLS","portal":"OLS"},{"url":"https://obofoundry.org/ontology/cio.html","name":"CIO in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000805","bsg-s000805"],"name":"FAIRsharing record for: Confidence Information Ontology","abbreviation":"CIO","url":"https://fairsharing.org/10.25504/FAIRsharing.e3t0yw","doi":"10.25504/FAIRsharing.e3t0yw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Confidence Information Ontology (CIO) is an ontology to capture confidence information about annotations. Please note that the last update to the ontology files were in 2015.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3476,"pubmed_id":null,"title":"The Confidence Information Ontology: a step towards a standard for asserting confidence in annotations","year":2015,"url":"http://dx.doi.org/10.1093/database/bav043","authors":"Bastian, F. B.; Chibucos, M. C.; Gaudet, P.; Giglio, M.; Holliday, G. L.; Huang, H.; Lewis, S. E.; Niknejad, A.; Orchard, S.; Poux, S.; Skunca, N.; Robinson-Rechavi, M.; ","journal":"Database","doi":"10.1093/database/bav043","created_at":"2022-07-15T14:06:21.709Z","updated_at":"2022-07-15T14:06:21.709Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2731,"relation":"applies_to_content"}],"grants":[{"id":9677,"fairsharing_record_id":644,"organisation_id":3597,"relation":"maintains","created_at":"2022-07-15T14:10:44.655Z","updated_at":"2022-07-15T14:10:44.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"646","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T18:36:55.000Z","updated_at":"2023-09-29T11:54:57.415Z","metadata":{"doi":"10.25504/FAIRsharing.7c7cc9","name":"Language resource management -- Feature structures -- Part 1: Feature structure representation","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37324.html","citations":[],"identifier":646,"description":"ISO 24610-1:2006 provides a format for the representation, storage and exchange of feature structures in natural language applications concerned with the annotation, production or analysis of linguistic data. It also defines a computer format for the description of constraints that bear on a set of features, feature values, feature specifications and operations on feature structures, thus offering a means of checking the conformance of each feature structure with regards to a reference specification.","abbreviation":"ISO 24610-1:2006","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37324.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2006},"legacy_ids":["bsg-001240","bsg-s001240"],"name":"FAIRsharing record for: Language resource management -- Feature structures -- Part 1: Feature structure representation","abbreviation":"ISO 24610-1:2006","url":"https://fairsharing.org/10.25504/FAIRsharing.7c7cc9","doi":"10.25504/FAIRsharing.7c7cc9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24610-1:2006 provides a format for the representation, storage and exchange of feature structures in natural language applications concerned with the annotation, production or analysis of linguistic data. It also defines a computer format for the description of constraints that bear on a set of features, feature values, feature specifications and operations on feature structures, thus offering a means of checking the conformance of each feature structure with regards to a reference specification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Computer Science","Linguistics"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":["Structured data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":13,"relation":"undefined"}],"grants":[{"id":10916,"fairsharing_record_id":646,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:07:21.017Z","updated_at":"2023-09-27T14:07:21.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":5988,"fairsharing_record_id":646,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:27:45.360Z","updated_at":"2021-09-30T09:27:45.360Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"647","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.482Z","metadata":{"doi":"10.25504/FAIRsharing.pf2qyq","name":"Ontology for Drug Discovery Investigations","status":"ready","contacts":[{"contact_name":"Larisa Soldatova","contact_email":"soldatova.larisa@gmail.com","contact_orcid":"0000-0001-6489-3029"}],"homepage":"https://code.google.com/p/ddi-ontology/","identifier":647,"description":"The goal of DDI project is to develop an ontology for the description of drug discovery investigations. The Pharmaceutical industry is an information based industry. The aim of DDI is to add value to the information generated in the drug pipeline by making the information easier to reuse, integrate, curate, retrieve, and reason with. DDI aims to follow to the Open Biomedical Ontologies Foundry (OBO) principles, to use relations laid down in the OBO Relation Ontology, and to be compliant with the Ontology for biomedical investigations (OBI).","abbreviation":"DDI","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDI","name":"DDI","portal":"BioPortal"}]},"legacy_ids":["bsg-002694","bsg-s002694"],"name":"FAIRsharing record for: Ontology for Drug Discovery Investigations","abbreviation":"DDI","url":"https://fairsharing.org/10.25504/FAIRsharing.pf2qyq","doi":"10.25504/FAIRsharing.pf2qyq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of DDI project is to develop an ontology for the description of drug discovery investigations. The Pharmaceutical industry is an information based industry. The aim of DDI is to add value to the information generated in the drug pipeline by making the information easier to reuse, integrate, curate, retrieve, and reason with. DDI aims to follow to the Open Biomedical Ontologies Foundry (OBO) principles, to use relations laid down in the OBO Relation Ontology, and to be compliant with the Ontology for biomedical investigations (OBI).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5989,"fairsharing_record_id":647,"organisation_id":579,"relation":"maintains","created_at":"2021-09-30T09:27:45.384Z","updated_at":"2021-09-30T09:27:45.384Z","grant_id":null,"is_lead":false,"saved_state":{"id":579,"name":"Computational Biology Group, Aberystwyth University, Aberystwyth, Wales, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"665","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:32:03.292Z","metadata":{"doi":"10.25504/FAIRsharing.exz30t","name":"Core Information for Metabolomics Reporting","status":"ready","contacts":[{"contact_name":"Reza Salek","contact_email":"r7salek@gmail.com","contact_orcid":"0000-0001-8604-1732"}],"homepage":"https://github.com/MSI-Metabolomics-Standards-Initiative/CIMR/","identifier":665,"description":"This document specifies the minimal guidelines reporting metabolomics work. It does so in a textual form and seeks in the long term to cover all application areas and analysis technologies.","abbreviation":"CIMR","support_links":[{"url":"https://github.com/MSI-Metabolomics-Standards-Initiative/CIMR/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://twitter.com/MetabolomicsSoc","name":"@MetabolomicsSoc","type":"Twitter"}],"year_creation":2003},"legacy_ids":["bsg-000175","bsg-s000175"],"name":"FAIRsharing record for: Core Information for Metabolomics Reporting","abbreviation":"CIMR","url":"https://fairsharing.org/10.25504/FAIRsharing.exz30t","doi":"10.25504/FAIRsharing.exz30t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document specifies the minimal guidelines reporting metabolomics work. It does so in a textual form and seeks in the long term to cover all application areas and analysis technologies.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10912},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11026},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11152},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11575},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11712},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11967}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Metabolomics"],"domains":["Chemical entity","Metabolite","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United Kingdom"],"publications":[{"id":582,"pubmed_id":null,"title":"Minimum reporting standards for plant biology context information in metabolomic studies","year":2007,"url":"http://doi.org/10.1007/s11306-007-0068-0","authors":"Oliver Fiehn, Lloyd W. Sumner, Seung Y. Rhee, Jane Ward, Julie Dickerson, Bernd Markus Lange, Geoff Lane, Ute Roessner, Robert Last, Basil Nikolau","journal":"Metabolomics","doi":"10.1007/s11306-007-0068-0","created_at":"2021-09-30T08:23:23.729Z","updated_at":"2021-09-30T08:23:23.729Z"},{"id":2803,"pubmed_id":null,"title":"Standard reporting requirements for biological samples in metabolomics experiments: environmental context","year":2007,"url":"http://doi.org/10.1007/s11306-007-0067-1","authors":"Norman Morrison, Dan Bearden, Jacob G. Bundy, Tim Collette, Felicity Currie, Matthew P. Davey, Nathan S. Haigh, David Hancock, Oliver A. H. Jones, Simone Rochfort, Susanna-Assunta Sansone, Dalibor Štys, Quincy Teng, Dawn Field, Mark R. Viant","journal":"Metabolomics","doi":"10.1007/s11306-007-0067-1","created_at":"2021-09-30T08:27:44.737Z","updated_at":"2021-09-30T08:27:44.737Z"}],"licence_links":[],"grants":[{"id":6015,"fairsharing_record_id":665,"organisation_id":1822,"relation":"maintains","created_at":"2021-09-30T09:27:46.144Z","updated_at":"2021-09-30T09:27:46.144Z","grant_id":null,"is_lead":false,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6016,"fairsharing_record_id":665,"organisation_id":917,"relation":"maintains","created_at":"2021-09-30T09:27:46.167Z","updated_at":"2021-09-30T09:27:46.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"666","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:33:48.000Z","updated_at":"2021-11-24T13:18:40.098Z","metadata":{"doi":"10.25504/FAIRsharing.wzp79x","name":"Big Chain","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigChain.html","identifier":666,"description":"The bigChain format describes a pairwise alignment that allow gaps in both sequences simultaneously, just as chain files do; however, bigChain files are compressed and indexed as bigBeds. Chain files are converted to bigChain files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigChain.","abbreviation":"bigChain","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"hgLoadChain"},{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"hgLoadChain"}]},"legacy_ids":["bsg-000696","bsg-s000696"],"name":"FAIRsharing record for: Big Chain","abbreviation":"bigChain","url":"https://fairsharing.org/10.25504/FAIRsharing.wzp79x","doi":"10.25504/FAIRsharing.wzp79x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigChain format describes a pairwise alignment that allow gaps in both sequences simultaneously, just as chain files do; however, bigChain files are compressed and indexed as bigBeds. Chain files are converted to bigChain files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigChain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6017,"fairsharing_record_id":666,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:46.193Z","updated_at":"2021-09-30T09:27:46.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"667","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2024-01-24T06:39:53.610Z","metadata":{"doi":"10.25504/FAIRsharing.b2979t","name":"Monarch Disease Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/monarch-initiative/mondo-build","citations":[],"identifier":667,"description":"MonDO (Monarch Disease Ontology) is a semi-automatically constructed ontology that merges in multiple disease resources to yield a coherent merged ontology.","abbreviation":"MONDO","support_links":[{"url":"https://twitter.com/MonarchInit","name":"@MonarchInit","type":"Twitter"},{"url":"https://monarchinitiative.org/","name":"The Monarch Initiative","type":"Other"},{"url":"https://github.com/monarch-initiative/mondo","name":"MONDO on GitHub","type":"Github"},{"url":"https://mondo.readthedocs.io/en/latest/","name":"About MONDO","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/INCATools/ontology-starter-kit","name":"Ontology Starter Kit"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MONDO","name":"MONDO","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/mondo","name":"Mondo Disease Ontology","portal":"OBO Foundry"},{"url":"https://bioregistry.io/registry/mondo","name":"mondo","portal":"Other"},{"url":"http://www.ebi.ac.uk/ols/ontologies/mondo","name":"MONDO","portal":"OLS"}]},"legacy_ids":["bsg-001086","bsg-s001086"],"name":"FAIRsharing record for: Monarch Disease Ontology","abbreviation":"MONDO","url":"https://fairsharing.org/10.25504/FAIRsharing.b2979t","doi":"10.25504/FAIRsharing.b2979t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MonDO (Monarch Disease Ontology) is a semi-automatically constructed ontology that merges in multiple disease resources to yield a coherent merged ontology.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13199},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13234},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13278},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16953}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Infectious Disease Medicine"],"domains":["Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3972,"pubmed_id":null,"title":"Mondo: Unifying diseases for the world, by the world","year":2022,"url":"http://dx.doi.org/10.1101/2022.04.13.22273750","authors":"Vasilevsky, Nicole A; Matentzoglu, Nicolas A; Toro, Sabrina; Flack, Joseph E; Hegde, Harshad; Unni, Deepak R; Alyea, Gioconda F; Amberger, Joanna S; Babb, Larry; Balhoff, James P; Bingaman, Taylor I; Burns, Gully A; Buske, Orion J; Callahan, Tiffany J; Carmody, Leigh C; Cordo, Paula Carrio; Chan, Lauren E; Chang, George S; Christiaens, Sean L; Dumontier, Michel; Failla, Laura E; Flowers, May J; Garrett, H. Alpha; Goldstein, Jennifer L; Gration, Dylan; Groza, Tudor; Hanauer, Marc; Harris, Nomi L; Hilton, Jason A; Himmelstein, Daniel S; Hoyt, Charles Tapley; Kane, Megan S; Köhler, Sebastian; Lagorce, David; Lai, Abbe; Larralde, Martin; Lock, Antonia; López Santiago, Irene; Maglott, Donna R; Malheiro, Adriana J; Meldal, Birgit H M; Munoz-Torres, Monica C; Nelson, Tristan H; Nicholas, Frank W; Ochoa, David; Olson, Daniel P; Oprea, Tudor I; Osumi-Sutherland, David; Parkinson, Helen; Pendlington, Zoë May; Rath, Ana; Rehm, Heidi L; Remennik, Lyubov; Riggs, Erin R; Roncaglia, Paola; Ross, Justyne E; Shadbolt, Marion F; Shefchek, Kent A; Similuk, Morgan N; Sioutos, Nicholas; Smedley, Damian; Sparks, Rachel; Stefancsik, Ray; Stephan, Ralf; Storm, Andrea L; Stupp, Doron; Stupp, Gregory S; Sundaramurthi, Jagadish Chandrabose; Tammen, Imke; Tay, Darin; Thaxton, Courtney L; Valasek, Eloise; Valls-Margarit, Jordi; Wagner, Alex H; Welter, Danielle; Whetzel, Patricia L; Whiteman, Lori L; Wood, Valerie; Xu, Colleen H; Zankl, Andreas; Zhang, Xingmin Aaron; Chute, Christopher G; Robinson, Peter N; Mungall, Christopher J; Hamosh, Ada; Haendel, Melissa A; ","journal":"medRxiv","doi":"10.1101/2022.04.13.22273750","created_at":"2023-08-06T23:13:25.756Z","updated_at":"2023-08-06T23:13:25.756Z"},{"id":3973,"pubmed_id":27899636,"title":"The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species","year":2016,"url":"http://dx.doi.org/10.1093/nar/gkw1128","authors":"Mungall, Christopher J.; McMurry, Julie A.; Köhler, Sebastian; Balhoff, James P.; Borromeo, Charles; Brush, Matthew; Carbon, Seth; Conlin, Tom; Dunn, Nathan; Engelstad, Mark; Foster, Erin; Gourdine, J.P.; Jacobsen, Julius O.B.; Keith, Dan; Laraway, Bryan; Lewis, Suzanna E.; NguyenXuan, Jeremy; Shefchek, Kent; Vasilevsky, Nicole; Yuan, Zhou; Washington, Nicole; Hochheiser, Harry; Groza, Tudor; Smedley, Damian; Robinson, Peter N.; Haendel, Melissa A.; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1128","created_at":"2023-08-06T23:18:18.027Z","updated_at":"2023-08-06T23:18:18.027Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3310,"relation":"applies_to_content"}],"grants":[{"id":10818,"fairsharing_record_id":667,"organisation_id":2804,"relation":"associated_with","created_at":"2023-08-06T23:19:48.743Z","updated_at":"2023-08-06T23:19:48.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGtDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--898bdc43b92d38a40469367c9d28eae876b63f8b/mondo_logo_black-stacked.png?disposition=inline","exhaustive_licences":false}},{"id":"668","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-05-10T11:39:05.220Z","metadata":{"doi":"10.25504/FAIRsharing.p58bm4","name":"Cephalopod Ontology","status":"deprecated","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/cephalopod-ontology","citations":[],"identifier":668,"description":"An anatomical and developmental ontology for cephalopods","abbreviation":"CEPH","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CEPH","name":"CEPH","portal":"BioPortal"},{"url":"http://obofoundry.org/ontology/ceph.html","name":"OBO Foundry page","portal":"OBO Foundry"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology is inactive according to the OBO Foundry definitions of status (http://obofoundry.org/docs/OntologyStatus.html). This means that the ontology project has a contact person who is responsive. A version of the ontology is available, but no edits are being made and requests for edits are either greatly delayed or not being addressed by the ontology’s editors. As such, we have deprecated this record."},"legacy_ids":["bsg-001087","bsg-s001087"],"name":"FAIRsharing record for: Cephalopod Ontology","abbreviation":"CEPH","url":"https://fairsharing.org/10.25504/FAIRsharing.p58bm4","doi":"10.25504/FAIRsharing.p58bm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An anatomical and developmental ontology for cephalopods","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fisheries Science","Anatomy","Zoology"],"domains":["Life cycle"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"639","type":"fairsharing_records","attributes":{"created_at":"2015-07-20T12:20:19.000Z","updated_at":"2021-11-24T13:13:52.621Z","metadata":{"doi":"10.25504/FAIRsharing.neny94","name":"Consolidated Health Economic Evaluation Reporting Standards","status":"ready","contacts":[{"contact_name":"Don Husereau","contact_email":"donh@donhusereau.com"}],"homepage":"http://www.ispor.org/TaskForces/EconomicPubGuidelines.asp","identifier":639,"description":"The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement is an attempt to consolidate and update previous health economic evaluation guidelines efforts into one current, useful reporting guidance. The primary audiences for the CHEERS statement are researchers reporting economic evaluations and the editors and peer reviewers assessing them for publication.","abbreviation":"CHEERS","support_links":[{"url":"https://www.ispor.org/workpaper/CHEERS/revised-CHEERS-Checklist-Oct13.pdf","name":"Checklist","type":"Help documentation"},{"url":"https://www.ispor.org/education/Webinars/CHEERS-062014.aspx","name":"Webinar","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000602","bsg-s000602"],"name":"FAIRsharing record for: Consolidated Health Economic Evaluation Reporting Standards","abbreviation":"CHEERS","url":"https://fairsharing.org/10.25504/FAIRsharing.neny94","doi":"10.25504/FAIRsharing.neny94","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement is an attempt to consolidate and update previous health economic evaluation guidelines efforts into one current, useful reporting guidance. The primary audiences for the CHEERS statement are researchers reporting economic evaluations and the editors and peer reviewers assessing them for publication.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12056}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Argentina","Austria","Canada","New Zealand","United Kingdom","United States"],"publications":[{"id":165,"pubmed_id":23531108,"title":"Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.","year":2013,"url":"http://doi.org/10.1186/1741-7015-11-80","authors":"Husereau D,Drummond M,Petrou S,Carswell C,Moher D,Greenberg D,Augustovski F,Briggs AH,Mauskopf J,Loder E","journal":"BMC Med","doi":"10.1186/1741-7015-11-80","created_at":"2021-09-30T08:22:38.172Z","updated_at":"2021-09-30T08:22:38.172Z"},{"id":208,"pubmed_id":23538200,"title":"Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.","year":2013,"url":"http://doi.org/10.1016/j.jval.2013.02.010","authors":"Husereau D,Drummond M,Petrou S,Carswell C,Moher D,Greenberg D,Augustovski F,Briggs AH,Mauskopf J,Loder E","journal":"Value Health","doi":"10.1016/j.jval.2013.02.010","created_at":"2021-09-30T08:22:42.639Z","updated_at":"2021-09-30T08:22:42.639Z"}],"licence_links":[{"licence_name":"ISPOR Privacy Policy","licence_id":458,"licence_url":"https://www.ispor.org/PrivacyPolicy.aspx","link_id":16,"relation":"undefined"}],"grants":[{"id":5973,"fairsharing_record_id":639,"organisation_id":1520,"relation":"maintains","created_at":"2021-09-30T09:27:44.606Z","updated_at":"2021-09-30T09:27:44.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":1520,"name":"International Society for Pharmacoeconomics and Outcomes Research (ISPOR), Lawrenceville, NJ, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"640","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.690Z","metadata":{"doi":"10.25504/FAIRsharing.pkt5s4","name":"Smoking Behavior Risk Ontology","status":"deprecated","contacts":[{"contact_name":"Paul Thomas","contact_email":"paul.thomas@sri.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/SBRO","identifier":640,"description":"\"Smoking Behavior Risk Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1249. This text was generated automatically. If you work on the project responsible for \"Smoking Behavior Risk Ontology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"SBRO","year_creation":2009,"deprecation_date":"2016-05-06","deprecation_reason":"This resource has been listed as deprecated as it has been removed from BioPortal and no further information on this standard can be found."},"legacy_ids":["bsg-002621","bsg-s002621"],"name":"FAIRsharing record for: Smoking Behavior Risk Ontology","abbreviation":"SBRO","url":"https://fairsharing.org/10.25504/FAIRsharing.pkt5s4","doi":"10.25504/FAIRsharing.pkt5s4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Smoking Behavior Risk Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1249. This text was generated automatically. If you work on the project responsible for \"Smoking Behavior Risk Ontology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Pharmacogenomics","Biomedical Science"],"domains":["Behavior","Phenotype","Exposure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":965,"pubmed_id":19525886,"title":"A systems biology network model for genetic association studies of nicotine addiction and treatment.","year":2009,"url":"http://doi.org/10.1097/FPC.0b013e32832e2ced","authors":"Thomas PD,Mi H,Swan GE,Lerman C,Benowitz N,Tyndale RF,Bergen AW,Conti DV","journal":"Pharmacogenet Genomics","doi":"10.1097/FPC.0b013e32832e2ced","created_at":"2021-09-30T08:24:06.792Z","updated_at":"2021-09-30T08:24:06.792Z"}],"licence_links":[],"grants":[{"id":5974,"fairsharing_record_id":640,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:27:44.644Z","updated_at":"2021-09-30T09:27:44.644Z","grant_id":null,"is_lead":false,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5975,"fairsharing_record_id":640,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:44.677Z","updated_at":"2021-09-30T09:27:44.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"641","type":"fairsharing_records","attributes":{"created_at":"2015-02-25T20:55:18.000Z","updated_at":"2023-10-18T08:48:11.636Z","metadata":{"doi":"10.25504/FAIRsharing.w5ntfd","name":"The Drug Ontology","status":"ready","contacts":[{"contact_name":"William Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":"0000-0002-9881-1017"}],"homepage":"https://github.com/mcwdsi/dron","citations":[],"identifier":641,"description":"An ontology of drug products and packaged drug products.","abbreviation":"DrOn","support_links":[{"url":"https://github.com/mcwdsi/dron/issues","name":"Issue tracker","type":"Contact form"}],"year_creation":2013,"associated_tools":[{"url":"https://github.com/mcwdsi/dron-query","name":"DrOn Query"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DRON","name":"DRON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/dron.html","name":"dron","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000584","bsg-s000584"],"name":"FAIRsharing record for: The Drug Ontology","abbreviation":"DrOn","url":"https://fairsharing.org/10.25504/FAIRsharing.w5ntfd","doi":"10.25504/FAIRsharing.w5ntfd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of drug products and packaged drug products.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12040}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Small molecule","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":983,"pubmed_id":27096073,"title":"An accurate and precise representation of drug ingredients","year":2016,"url":"http://doi.org/10.1186/s13326-016-0048-2","authors":"Hanna J, Bian J, Hogan WR","journal":"Journal of Biomedical Semantics","doi":"10.1186/s13326-016-0048-2","created_at":"2021-09-30T08:24:08.755Z","updated_at":"2021-09-30T08:24:08.755Z"},{"id":998,"pubmed_id":28253937,"title":"Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request","year":2017,"url":"http://doi.org/10.1186/s13326-017-0121-5","authors":"Hogan WR, Hanna J, Hicks A, Amirova S, Bramblett B, Diller M, Enderez R, Modzelewski T, Vasconcelos M, Delcher C","journal":"Journal of Biomedical Semantics","doi":"10.1186/s13326-017-0121-5","created_at":"2021-09-30T08:24:10.463Z","updated_at":"2021-09-30T08:24:10.463Z"},{"id":1394,"pubmed_id":24345026,"title":"Building a drug ontology based on RxNorm and other sources.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-44","authors":"Hanna J,Joseph E,Brochhausen M,Hogan WR","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-44","created_at":"2021-09-30T08:24:55.860Z","updated_at":"2021-09-30T08:24:55.860Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3366,"relation":"applies_to_content"}],"grants":[{"id":5976,"fairsharing_record_id":641,"organisation_id":3054,"relation":"funds","created_at":"2021-09-30T09:27:44.714Z","updated_at":"2021-09-30T09:31:27.730Z","grant_id":1179,"is_lead":false,"saved_state":{"id":3054,"name":"Genetics Institute, University of Florida","grant":"UL1TR00142","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11008,"fairsharing_record_id":641,"organisation_id":1810,"relation":"maintains","created_at":"2023-10-16T14:59:41.200Z","updated_at":"2023-10-16T14:59:41.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11009,"fairsharing_record_id":641,"organisation_id":3055,"relation":"collaborates_on","created_at":"2023-10-16T14:59:41.209Z","updated_at":"2023-10-16T14:59:41.209Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"648","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:13:18.539Z","metadata":{"doi":"10.25504/FAIRsharing.ds6s93","name":"Performed Music Ontology","status":"ready","contacts":[{"contact_name":"Nancy Lorimer","contact_email":"nlorimer@stanford.edu"}],"homepage":"https://github.com/LD4P/PerformedMusicOntology","identifier":648,"description":"An extension to the Library of Congress BIBFRAME ontology for performed music, with a particular emphasis on clarifying and expanding on the modelling of works, events, and their contributors. It describes performed music, both for mainstream and archival performed music collections.","abbreviation":"PMO","support_links":[{"url":"https://wiki.duraspace.org/display/LD4P/Performed+Music+Ontology","name":"PMO Documentation on Duraspace","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PMO","name":"PMO","portal":"BioPortal"}]},"legacy_ids":["bsg-000950","bsg-s000950"],"name":"FAIRsharing record for: Performed Music Ontology","abbreviation":"PMO","url":"https://fairsharing.org/10.25504/FAIRsharing.ds6s93","doi":"10.25504/FAIRsharing.ds6s93","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An extension to the Library of Congress BIBFRAME ontology for performed music, with a particular emphasis on clarifying and expanding on the modelling of works, events, and their contributors. It describes performed music, both for mainstream and archival performed music collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Musicology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5990,"fairsharing_record_id":648,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:45.409Z","updated_at":"2021-09-30T09:27:45.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"651","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-30T07:55:13.577Z","metadata":{"doi":"10.25504/FAIRsharing.b9znd5","name":"Informed Consent Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/ICO-ontology/ICO","citations":[],"identifier":651,"description":"Informed Consent Ontology (ICO) represents the documentations and processes involved in informed consent. ICO aims to support informed consent data integration and reasoning in the clinical research space. The core terms of ICO covers informed consent forms, the component inside the informed consent form, and various informed consent processes.","abbreviation":"ICO","support_links":[{"url":"https://groups.google.com/forum/#!forum/ico-discuss","name":"ICO Forum","type":"Forum"},{"url":"https://github.com/ICO-ontology/ICO/issues","name":"ICO Issue Tracker","type":"Github"},{"url":"http://ceur-ws.org/Vol-1327/icbo2014_paper_54.pdf","name":"ICO Conference Paper","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICO","name":"ICO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ico.html","name":"ico","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002837","bsg-s002837"],"name":"FAIRsharing record for: Informed Consent Ontology","abbreviation":"ICO","url":"https://fairsharing.org/10.25504/FAIRsharing.b9znd5","doi":"10.25504/FAIRsharing.b9znd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Informed Consent Ontology (ICO) represents the documentations and processes involved in informed consent. ICO aims to support informed consent data integration and reasoning in the clinical research space. The core terms of ICO covers informed consent forms, the component inside the informed consent form, and various informed consent processes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2290,"pubmed_id":null,"title":"Development of a BFO-based Informed Consent Ontology (ICO)","year":2013,"url":"https://www.researchgate.net/publication/289387776_Development_of_a_BFO-based_informed_consent_ontology_ICO","authors":"Lin Y, Harris MR, Manion FJ, Eisenhauer E, Zhao B, Shi W, Karnovsky A, He Y","journal":"In: The 5th International Conference on Biomedical Ontologies (ICBO): 2014; Houston, Texas, USA, October 8-9, 2014. CEUR Workshop Proceedings, Page 84-86","doi":null,"created_at":"2021-09-30T08:26:39.310Z","updated_at":"2021-09-30T11:28:34.730Z"}],"licence_links":[],"grants":[{"id":5992,"fairsharing_record_id":651,"organisation_id":1806,"relation":"funds","created_at":"2021-09-30T09:27:45.469Z","updated_at":"2021-09-30T09:27:45.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":1806,"name":"MCubed, University of Michigan, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":5993,"fairsharing_record_id":651,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:45.507Z","updated_at":"2021-09-30T09:27:45.507Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5991,"fairsharing_record_id":651,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:45.437Z","updated_at":"2021-09-30T09:29:57.221Z","grant_id":484,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"2UL1TR000433-06","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"652","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:12:26.000Z","updated_at":"2022-07-20T12:48:28.347Z","metadata":{"doi":"10.25504/FAIRsharing.35e1c3","name":"Oat Trait Ontology","status":"ready","contacts":[{"contact_name":"Jean-Luc Jannink","contact_email":"jeanluc.work@gmail.com","contact_orcid":"0000-0003-4849-628X"},{"contact_name":"CO General Contact","contact_email":"helpdesk@cropontology-curationtool.org","contact_orcid":null}],"homepage":"https://cropontology.org/term/CO_350:ROOT","citations":[],"identifier":652,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Oat Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. The Oat Trait Dictionary was commissioned by Oat Global (http://oatglobal.org/) to hold the traits used in the T3/Oat database (http://triticeaetoolbox.org/oat/).","abbreviation":"CO_350","support_links":[{"url":"crs298@cornell.edu","name":"Clare Saied","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001131","bsg-s001131"],"name":"FAIRsharing record for: Oat Trait Ontology","abbreviation":"CO_350","url":"https://fairsharing.org/10.25504/FAIRsharing.35e1c3","doi":"10.25504/FAIRsharing.35e1c3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Oat Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. The Oat Trait Dictionary was commissioned by Oat Global (http://oatglobal.org/) to hold the traits used in the T3/Oat database (http://triticeaetoolbox.org/oat/).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Avena sativa"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1058,"relation":"undefined"}],"grants":[{"id":5994,"fairsharing_record_id":652,"organisation_id":2205,"relation":"funds","created_at":"2021-09-30T09:27:45.549Z","updated_at":"2021-09-30T09:27:45.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":2205,"name":"Oat Global, St Paul, MN, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"766","type":"fairsharing_records","attributes":{"created_at":"2019-04-08T13:41:26.000Z","updated_at":"2023-05-05T07:47:50.854Z","metadata":{"doi":"10.25504/FAIRsharing.FGJ2T8","name":"Gene Ontology (GO) Gene Association File Format 2.1","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium Helpdesk","contact_email":"help@geneontology.org","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://geneontology.org/docs/go-annotation-file-gaf-format-2.1/","citations":[],"identifier":766,"description":"Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.1 (GAF 2.1). The annotation flat file format is comprised of 17 tab-delimited fields. This format is preferred over the GAF 2.0 format.","abbreviation":"GAF 2.1","support_links":[{"url":"https://github.com/geneontology/helpdesk/issues","name":"GO GitHub Issue Tracker","type":"Github"},{"url":"help@geneontology.org","name":"GO Helpdesk","type":"Support email"},{"url":"http://geneontology.org/docs/go-annotations/","name":"Introduction to GO annotations","type":"Help documentation"}],"year_creation":2015,"associated_tools":[{"url":"http://noctua.berkeleybop.org/","name":"NOCTUA Curation Platform"},{"url":"http://geneontology.org/go-cam","name":"GO Causal Activity Models (CAMs) viewer"}]},"legacy_ids":["bsg-001362","bsg-s001362"],"name":"FAIRsharing record for: Gene Ontology (GO) Gene Association File Format 2.1","abbreviation":"GAF 2.1","url":"https://fairsharing.org/10.25504/FAIRsharing.FGJ2T8","doi":"10.25504/FAIRsharing.FGJ2T8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.1 (GAF 2.1). The annotation flat file format is comprised of 17 tab-delimited fields. This format is preferred over the GAF 2.0 format.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12541}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Animal Genetics","Genetics","Human Genetics","Life Science","Molecular Genetics","Plant Genetics"],"domains":["Expression data","Gene Ontology enrichment","Gene functional annotation","Function analysis","Molecular function","Cellular component","Gene expression","Animal organ development","Functional association","Gene feature","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":306,"relation":"undefined"}],"grants":[{"id":6163,"fairsharing_record_id":766,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:27:50.803Z","updated_at":"2021-09-30T09:27:50.803Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"767","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-12-27T17:17:04.864Z","metadata":{"doi":"10.25504/FAIRsharing.tcbwad","name":"HIV ontology","status":"ready","contacts":[{"contact_name":"Martin Schiller","contact_email":"martin.schiller@unlv.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/HIV","citations":[],"identifier":767,"description":"The HIV ontology encompasses all knowledge about HIV","abbreviation":"HIV","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HIV","name":"HIV","portal":"BioPortal"}]},"legacy_ids":["bsg-000789","bsg-s000789"],"name":"FAIRsharing record for: HIV ontology","abbreviation":"HIV","url":"https://fairsharing.org/10.25504/FAIRsharing.tcbwad","doi":"10.25504/FAIRsharing.tcbwad","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HIV ontology encompasses all knowledge about HIV","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Proteomics","Medical Virology","Epidemiology"],"domains":["Protein interaction","Mutation"],"taxonomies":["Human immunodeficiency virus"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"768","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-01-02T17:29:48.661Z","metadata":{"doi":"10.25504/FAIRsharing.xfje21","name":"Metagenome Sample Vocabulary","status":"deprecated","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"http://mdb.bio.titech.ac.jp/msv","citations":[],"identifier":768,"description":"An ontology for metagenome sample metadata. This ontology mainly defines predicates.","abbreviation":"MSV","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSV","name":"MSV","portal":"BioPortal"}],"deprecation_date":"2023-01-02","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000892","bsg-s000892"],"name":"FAIRsharing record for: Metagenome Sample Vocabulary","abbreviation":"MSV","url":"https://fairsharing.org/10.25504/FAIRsharing.xfje21","doi":"10.25504/FAIRsharing.xfje21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for metagenome sample metadata. This ontology mainly defines predicates.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Metagenomics"],"domains":["Metagenome"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"769","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-03-24T14:37:06.213Z","metadata":{"doi":"10.25504/FAIRsharing.mb5dc","name":"Halocynthia aurantium Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":769,"description":"The first ontology describing the anatomy and the development of Halocynthia aurantium.","abbreviation":"HAAURAADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HAAURAADO","name":"HAAURAADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000894","bsg-s000894"],"name":"FAIRsharing record for: Halocynthia aurantium Anatomy and Development Ontology","abbreviation":"HAAURAADO","url":"https://fairsharing.org/10.25504/FAIRsharing.mb5dc","doi":"10.25504/FAIRsharing.mb5dc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Halocynthia aurantium.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Halocynthia aurantium"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10458,"fairsharing_record_id":769,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T14:36:08.141Z","updated_at":"2023-03-24T14:36:08.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"770","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:37:10.000Z","updated_at":"2022-12-14T08:21:35.275Z","metadata":{"doi":"10.25504/FAIRsharing.KTpITA","name":"Simple Cone Search","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/ConeSearch.html","citations":[{"publication_id":2935}],"identifier":770,"description":"The Simple Cone Search specification defines a simple query protocol for retrieving records from a catalog of astronomical sources. The query describes sky position and an angular distance, defining a cone on the sky. The response returns a list of astronomical sources from the catalog whose positions lie within the cone, formatted as a VOTable. This version of the specification is essentially a transcription of the original Cone Search specification in order to move it into the IVOA standardization process.","abbreviation":null,"support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/ConeSearch","name":"Simple Cone Search Wiki","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SCS-1_03-Errata","name":"Simple Cone Search Specification - Errata","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001153","bsg-s001153"],"name":"FAIRsharing record for: Simple Cone Search","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.KTpITA","doi":"10.25504/FAIRsharing.KTpITA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Cone Search specification defines a simple query protocol for retrieving records from a catalog of astronomical sources. The query describes sky position and an angular distance, defining a cone on the sky. The response returns a list of astronomical sources from the catalog whose positions lie within the cone, formatted as a VOTable. This version of the specification is essentially a transcription of the original Cone Search specification in order to move it into the IVOA standardization process.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11459}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2935,"pubmed_id":null,"title":"Simple Cone Search Version 1.03","year":2008,"url":"http://dx.doi.org/10.5479/ADS/bib/2008ivoa.specQ0222P","authors":"Plante, Raymond; Williams, Roy; Hanisch, Robert; Szalay, Alex","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.758Z","updated_at":"2021-09-30T08:28:01.758Z"}],"licence_links":[],"grants":[{"id":6164,"fairsharing_record_id":770,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:50.844Z","updated_at":"2021-09-30T09:27:50.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6165,"fairsharing_record_id":770,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:27:50.931Z","updated_at":"2021-09-30T09:27:50.931Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"771","type":"fairsharing_records","attributes":{"created_at":"2020-11-15T15:18:26.000Z","updated_at":"2022-07-20T09:31:56.969Z","metadata":{"doi":"10.25504/FAIRsharing.3bbe9d","name":"Open Geospatial Consortium Sensor Model Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/sensorml","identifier":771,"description":"The Sensor Model Language (SensorML) aims to provide a robust and semantically-tied means of defining processes and processing components associated with the measurement and post-measurement transformation of observations. This includes sensors and actuators as well as computational processes applied pre- and post- measurement. The main objective is to enable interoperability, first at the syntactic level and later at the semantic level (by using ontologies and semantic mediation), so that sensors and processes can be better understood by machines, utilized automatically in complex workflows, and easily shared between intelligent sensor web nodes. This standard is one of several implementation standards produced under OGC’s Sensor Web Enablement (SWE) activity.","abbreviation":"OGC SensorML","support_links":[{"url":"http://ogc.standardstracker.org/","name":"Issue / Change Tracker","type":"Forum"},{"url":"http://docs.ogc.org/is/12-000r2/12-000r2.html","name":"SensorML Specification Document","type":"Help documentation"},{"url":"https://twitter.com/opengeospatial","name":"@opengeospatial","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/SensorML","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2010},"legacy_ids":["bsg-001540","bsg-s001540"],"name":"FAIRsharing record for: Open Geospatial Consortium Sensor Model Language","abbreviation":"OGC SensorML","url":"https://fairsharing.org/10.25504/FAIRsharing.3bbe9d","doi":"10.25504/FAIRsharing.3bbe9d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sensor Model Language (SensorML) aims to provide a robust and semantically-tied means of defining processes and processing components associated with the measurement and post-measurement transformation of observations. This includes sensors and actuators as well as computational processes applied pre- and post- measurement. The main objective is to enable interoperability, first at the syntactic level and later at the semantic level (by using ontologies and semantic mediation), so that sensors and processes can be better understood by machines, utilized automatically in complex workflows, and easily shared between intelligent sensor web nodes. This standard is one of several implementation standards produced under OGC’s Sensor Web Enablement (SWE) activity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geography","Earth Science","Remote Sensing"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data","Sensor data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2179,"relation":"undefined"}],"grants":[{"id":6166,"fairsharing_record_id":771,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:50.973Z","updated_at":"2021-09-30T09:27:50.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"811","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:28:35.976Z","metadata":{"doi":"10.25504/FAIRsharing.a0yy2x","name":"Integrating Network Objects with Hierarchies Event Ontology","status":"deprecated","contacts":[{"contact_name":"IMS","contact_email":"www-admin@ims.u-tokyo.ac.jp"}],"homepage":"http://www.obofoundry.org/ontology/iev.html","citations":[],"identifier":811,"description":"INOH Event Ontology (IEV) is a structured controlled vocabulary of pathway centric biological processes used to annotate biological processes, pathways, sub-pathways in the INOH pathway data. .","abbreviation":"IEV","year_creation":2005,"cross_references":[{"url":"http://www.obofoundry.org/ontology/iev.html","name":"iev","portal":"OBO Foundry"}],"deprecation_date":"2015-04-10","deprecation_reason":"This resource has been deprecated. Deprecation confirmed via the OBO Foundry."},"legacy_ids":["bsg-000043","bsg-s000043"],"name":"FAIRsharing record for: Integrating Network Objects with Hierarchies Event Ontology","abbreviation":"IEV","url":"https://fairsharing.org/10.25504/FAIRsharing.a0yy2x","doi":"10.25504/FAIRsharing.a0yy2x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: INOH Event Ontology (IEV) is a structured controlled vocabulary of pathway centric biological processes used to annotate biological processes, pathways, sub-pathways in the INOH pathway data. .","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Mathematical model","Enzymatic reaction","Pathway model"],"taxonomies":["Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":981,"pubmed_id":18629146,"title":"The molecule role ontology: an ontology for annotation of signal transduction pathway molecules in the scientific literature.","year":2008,"url":"http://doi.org/10.1002/cfg.432","authors":"Yamamoto S,Asanuma T,Takagi T,Fukuda KI","journal":"Comp Funct Genomics","doi":"10.1002/cfg.432","created_at":"2021-09-30T08:24:08.547Z","updated_at":"2021-09-30T08:24:08.547Z"},{"id":1284,"pubmed_id":22120663,"title":"INOH: ontology-based highly structured database of signal transduction pathways.","year":2011,"url":"http://doi.org/10.1093/database/bar052","authors":"Yamamoto S,Sakai N,Nakamura H,Fukagawa H,Fukuda K,Takagi T","journal":"Database (Oxford)","doi":"10.1093/database/bar052","created_at":"2021-09-30T08:24:43.325Z","updated_at":"2021-09-30T08:24:43.325Z"},{"id":1725,"pubmed_id":17094236,"title":"Event ontology: a pathway-centric ontology for biological processes.","year":2006,"url":"https://www.ncbi.nlm.nih.gov/pubmed/17094236","authors":"Kushida T,Takagi T,Fukuda KI","journal":"Pac Symp Biocomput","doi":null,"created_at":"2021-09-30T08:25:33.280Z","updated_at":"2021-09-30T08:25:33.280Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.1 Japan (CC BY 2.1 JP)","licence_id":159,"licence_url":"https://creativecommons.org/licenses/by/2.1/jp/","link_id":1560,"relation":"undefined"}],"grants":[{"id":6200,"fairsharing_record_id":811,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:27:52.291Z","updated_at":"2021-09-30T09:27:52.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"812","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2022-12-16T10:48:14.478Z","metadata":{"doi":"10.25504/FAIRsharing.6bxcr4","name":"Systematized Nomenclature of Medicine, International Version","status":"ready","contacts":[{"contact_name":"IHTSDO","contact_email":"jgk@ihtsdo.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/SNMI","citations":[],"identifier":812,"description":"Cote, Roger A., editor. Systematized Nomenclature of Human and Veterinary Medicine: SNOMED International. Northfield (IL): College of American Pathologists; Schaumburg (IL): American Veterinary Medical Association, Version 3.5, 1998.","abbreviation":"SNMI","support_links":[{"url":"https://github.com/IHTSDO","name":"SNOMED International GitHub","type":"Github"},{"url":"tooling@snomed.org","name":"Tooling Support","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SNMI","name":"SNMI","portal":"BioPortal"}]},"legacy_ids":["bsg-001084","bsg-s001084"],"name":"FAIRsharing record for: Systematized Nomenclature of Medicine, International Version","abbreviation":"SNMI","url":"https://fairsharing.org/10.25504/FAIRsharing.6bxcr4","doi":"10.25504/FAIRsharing.6bxcr4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cote, Roger A., editor. Systematized Nomenclature of Human and Veterinary Medicine: SNOMED International. Northfield (IL): College of American Pathologists; Schaumburg (IL): American Veterinary Medical Association, Version 3.5, 1998.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Occupational Medicine","Pharmacology","Veterinary Medicine","Biomedical Science","Translational Medicine"],"domains":["Drug interaction","Disease","Morphology"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","United Kingdom","Worldwide"],"publications":[{"id":3738,"pubmed_id":null,"title":"SNOMED International (systematized Nomenclature of Human and Veterinary Medicine). 3rd Ed.","year":1994,"url":"https://aasldpubs.onlinelibrary.wiley.com/doi/10.1002/hep.1840190535","authors":"J. Ludwig; Edited by: R.A. Cote, D.J. Rothwell, J.L. Palotay, R.S. Beckett","journal":"Hepatology : official journal of the American Association for the Study of Liver Diseases (Web)","doi":"10.1002/hep.1840190535","created_at":"2022-12-14T02:29:35.707Z","updated_at":"2022-12-14T02:29:35.707Z"}],"licence_links":[],"grants":[{"id":10231,"fairsharing_record_id":812,"organisation_id":3833,"relation":"associated_with","created_at":"2022-12-14T02:15:50.118Z","updated_at":"2022-12-14T02:15:50.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":3833,"name":"International Health Terminology Standards Development Organisation (IHTSDO)","types":["Charitable foundation"],"is_lead":false,"relation":"associated_with"}},{"id":10232,"fairsharing_record_id":812,"organisation_id":3834,"relation":"maintains","created_at":"2022-12-14T02:15:50.254Z","updated_at":"2022-12-14T02:18:57.845Z","grant_id":null,"is_lead":true,"saved_state":{"id":3834,"name":"SNOMED International","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"813","type":"fairsharing_records","attributes":{"created_at":"2019-04-23T17:40:59.000Z","updated_at":"2024-03-21T13:59:01.510Z","metadata":{"doi":"10.25504/FAIRsharing.RvBRMp","name":"Pairs file format","status":"ready","contacts":[{"contact_name":"4DN Helpdesk","contact_email":"support@4dnucleome.org"}],"homepage":"https://github.com/4dn-dcic/pairix/blob/master/pairs_format_specification.md","identifier":813,"description":"A standard text format for pairs of genomic loci given as 1bp point positions, applicable to chromosome conformation experiments. Pairs files are produced as intermediate files in most Hi-C analysis pipelines and can be indexed and queried by the Pairix software.","abbreviation":".pairs","support_links":[{"url":"https://github.com/4dn-dcic/pairix/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/4dn-dcic/pairix/tree/a5e44544c758f87d5ee40f424db611410281cfdd","name":"Pairix 0.3.7"},{"url":"https://pypi.org/project/pypairix/0.3.7/","name":"Pypairix 0.3.7"},{"url":"https://github.com/4dn-dcic/Rpairix/tree/0.3.7","name":"Rpairix 0.3.7"}]},"legacy_ids":["bsg-001364","bsg-s001364"],"name":"FAIRsharing record for: Pairs file format","abbreviation":".pairs","url":"https://fairsharing.org/10.25504/FAIRsharing.RvBRMp","doi":"10.25504/FAIRsharing.RvBRMp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A standard text format for pairs of genomic loci given as 1bp point positions, applicable to chromosome conformation experiments. Pairs files are produced as intermediate files in most Hi-C analysis pipelines and can be indexed and queried by the Pairix software.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12542}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Chromosome"],"taxonomies":["All"],"user_defined_tags":["Chromosome Conformation","Genomic Contacts","Hi-C"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1464,"relation":"undefined"}],"grants":[{"id":6203,"fairsharing_record_id":813,"organisation_id":9,"relation":"maintains","created_at":"2021-09-30T09:27:52.384Z","updated_at":"2021-09-30T09:27:52.384Z","grant_id":null,"is_lead":true,"saved_state":{"id":9,"name":"4DN Data Coordination and Integration Center","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11570,"fairsharing_record_id":813,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:01.142Z","updated_at":"2024-03-21T13:59:01.426Z","grant_id":862,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"1U01CA200059-01","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"814","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2021-11-24T13:14:23.499Z","metadata":{"doi":"10.25504/FAIRsharing.rfec93","name":"Ontology for Nutritional Studies","status":"in_development","contacts":[{"contact_name":"Francesco Vitali","contact_email":"francesco.vitali.bio@gmail.com"}],"homepage":"https://github.com/enpadasi/Ontology-for-Nutritional-Studies","identifier":814,"description":"Ontology For Nutritional Studies (ONS) has been developed as part of the ENPADASI European project (http://www.enpadasi.eu/) with the aim to define a common language and building ontologies for nutritional studies. It is the first systematic effort to provide a formal ontology framework for the description of nutritional studies.","abbreviation":"ONS","support_links":[{"url":"https://github.com/enpadasi/Ontology-for-Nutritional-Studies/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONS","name":"ONS","portal":"BioPortal"}]},"legacy_ids":["bsg-001068","bsg-s001068"],"name":"FAIRsharing record for: Ontology for Nutritional Studies","abbreviation":"ONS","url":"https://fairsharing.org/10.25504/FAIRsharing.rfec93","doi":"10.25504/FAIRsharing.rfec93","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology For Nutritional Studies (ONS) has been developed as part of the ENPADASI European project (http://www.enpadasi.eu/) with the aim to define a common language and building ontologies for nutritional studies. It is the first systematic effort to provide a formal ontology framework for the description of nutritional studies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17362},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14551}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Nutritional Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":423,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"815","type":"fairsharing_records","attributes":{"created_at":"2018-01-30T21:18:28.000Z","updated_at":"2022-09-26T13:16:53.529Z","metadata":{"doi":"10.25504/FAIRsharing.f3jewy","name":"smartAPI specification","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com"}],"homepage":"http://smart-api.info","citations":[],"identifier":815,"description":"The smartAPI project aims to maximize the FAIRness (Findability, Accessibility, Interoperability, and Reusability) of web-based Application Programming Interfaces (APIs). Rich metadata is essential to properly describe your API so that it becomes discoverable, connected, and reusable. We have developed a openAPI-based specification for defining the key API metadata elements and value sets. smartAPIs leverage the Open API specification v3 and JSON-LD for providing semantically annotated JSON content that can be treated as Linked Data.","abbreviation":"smartAPI","year_creation":2017},"legacy_ids":["bsg-001126","bsg-s001126"],"name":"FAIRsharing record for: smartAPI specification","abbreviation":"smartAPI","url":"https://fairsharing.org/10.25504/FAIRsharing.f3jewy","doi":"10.25504/FAIRsharing.f3jewy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The smartAPI project aims to maximize the FAIRness (Findability, Accessibility, Interoperability, and Reusability) of web-based Application Programming Interfaces (APIs). Rich metadata is essential to properly describe your API so that it becomes discoverable, connected, and reusable. We have developed a openAPI-based specification for defining the key API metadata elements and value sets. smartAPIs leverage the Open API specification v3 and JSON-LD for providing semantically annotated JSON content that can be treated as Linked Data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Resource metadata","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands","United States"],"publications":[{"id":1931,"pubmed_id":null,"title":"Towards a More Intelligent Network of Web APIs.","year":2017,"url":"http://doi.org/10.1007/978-3-319-58451-5_11","authors":"Amrapali Zaveri, Shima Dastgheib, Chunlei Wu, Trish Whetzel, Ruben Verborgh, Paul Avillach, Gabor Korodi, Raymond Terryn, Kathleen Jagodnik, Pedro Assis, Michel Dumontier","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-319-58451-5_11","created_at":"2021-09-30T08:25:57.365Z","updated_at":"2021-09-30T08:25:57.365Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":177,"relation":"undefined"}],"grants":[{"id":6204,"fairsharing_record_id":815,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:52.414Z","updated_at":"2021-09-30T09:31:12.167Z","grant_id":1061,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54HG008033","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8888,"fairsharing_record_id":815,"organisation_id":2943,"relation":"funds","created_at":"2022-02-18T22:41:14.348Z","updated_at":"2022-02-18T22:41:14.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"816","type":"fairsharing_records","attributes":{"created_at":"2019-06-13T09:39:41.000Z","updated_at":"2024-01-28T15:58:04.462Z","metadata":{"doi":"10.25504/FAIRsharing.c26a4e","name":"European Registry of Materials Identifier","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@maastrichtuniversity.nl","contact_orcid":"0000-0001-7542-0286"}],"homepage":"https://nanocommons.github.io/identifiers/","citations":[{"doi":"10.1186/s13321-022-00614-7","pubmed_id":null,"publication_id":3566}],"identifier":816,"description":"Identifier project to uniquely identify nanomaterials, allowing them to identify materials in experimental designs, data, reports, project deliverables, and scholarly publications.","abbreviation":"ERM Identifier","year_creation":2019,"cross_references":[{"url":"https://registry.identifiers.org/registry/erm","name":"identifiers.org","portal":"Other"},{"url":"https://bioregistry.io/registry/erm","name":"Bioregistry","portal":"Other"}],"regular_expression":"^ERM[0-9]{8}$"},"legacy_ids":["bsg-001384","bsg-s001384"],"name":"FAIRsharing record for: European Registry of Materials Identifier","abbreviation":"ERM Identifier","url":"https://fairsharing.org/10.25504/FAIRsharing.c26a4e","doi":"10.25504/FAIRsharing.c26a4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Identifier project to uniquely identify nanomaterials, allowing them to identify materials in experimental designs, data, reports, project deliverables, and scholarly publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Nanotechnology","Materials Informatics"],"domains":["Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Bulgaria","Netherlands","Norway","Sweden","United Kingdom"],"publications":[{"id":3566,"pubmed_id":null,"title":"European Registry of Materials: global, unique identifiers for (undisclosed) nanomaterials","year":2022,"url":"http://dx.doi.org/10.1186/s13321-022-00614-7","authors":"van Rijn, Jeaphianne; Afantitis, Antreas; Culha, Mustafa; Dusinska, Maria; Exner, Thomas E.; Jeliazkova, Nina; Longhin, Eleonora Marta; Lynch, Iseult; Melagraki, Georgia; Nymark, Penny; Papadiamantis, Anastasios G.; Winkler, David A.; Yilmaz, Hulya; Willighagen, Egon; ","journal":"J Cheminform","doi":"10.1186/s13321-022-00614-7","created_at":"2022-08-26T08:06:02.647Z","updated_at":"2022-08-26T08:06:02.647Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1179,"relation":"undefined"}],"grants":[{"id":6206,"fairsharing_record_id":816,"organisation_id":1929,"relation":"maintains","created_at":"2021-09-30T09:27:52.498Z","updated_at":"2021-09-30T09:27:52.498Z","grant_id":null,"is_lead":true,"saved_state":{"id":1929,"name":"Nanocommons","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6207,"fairsharing_record_id":816,"organisation_id":1739,"relation":"maintains","created_at":"2021-09-30T09:27:52.540Z","updated_at":"2021-09-30T09:27:52.540Z","grant_id":null,"is_lead":false,"saved_state":{"id":1739,"name":"Maastricht University (UM), Maastricht, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6205,"fairsharing_record_id":816,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:52.449Z","updated_at":"2021-09-30T09:29:19.737Z","grant_id":197,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"731032","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"822","type":"fairsharing_records","attributes":{"created_at":"2020-07-08T13:23:52.000Z","updated_at":"2024-01-27T14:38:42.602Z","metadata":{"doi":"10.25504/FAIRsharing.29924b","name":"ISO 27729:2012 Information and documentation — International standard name identifier","status":"ready","contacts":[{"contact_name":"Todd Carpenter","contact_email":"tcarpenter@niso.org"}],"homepage":"https://www.iso.org/standard/44292.html","citations":[],"identifier":822,"description":"ISO 27729:2012 specifies the International Standard Name Identifier (ISNI) for the identification of public identities of parties, i.e. the identities used publicly by parties involved throughout the media content industries in the creation, production, management and content distribution chains. ISNIs uniquely identify public identities across multiple fields of creative activity and provides a tool for disambiguating public identities that might otherwise be confused. An ISNI is made up of 16 digits, the last character being a check character. The check character may be either a decimal digit or the character “X”.","abbreviation":"ISO 27729:2012 ISNI","support_links":[{"url":"https://isni.org/page/faqs/","name":"ISNI FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://isni.org","name":"ISNI Website","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/International_Standard_Name_Identifier","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012,"cross_references":[{"url":"https://registry.identifiers.org/registry/isni","name":"Identifiers.org","portal":"Other"},{"url":"https://bioregistry.io/registry/isni","name":"Bioregistry","portal":"Other"}],"regular_expression":"^[0-9]{15}[0-9X]{1}$"},"legacy_ids":["bsg-001510","bsg-s001510"],"name":"FAIRsharing record for: ISO 27729:2012 Information and documentation — International standard name identifier","abbreviation":"ISO 27729:2012 ISNI","url":"https://fairsharing.org/10.25504/FAIRsharing.29924b","doi":"10.25504/FAIRsharing.29924b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 27729:2012 specifies the International Standard Name Identifier (ISNI) for the identification of public identities of parties, i.e. the identities used publicly by parties involved throughout the media content industries in the creation, production, management and content distribution chains. ISNIs uniquely identify public identities across multiple fields of creative activity and provides a tool for disambiguating public identities that might otherwise be confused. An ISNI is made up of 16 digits, the last character being a check character. The check character may be either a decimal digit or the character “X”.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17382}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Informatics"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2008,"relation":"undefined"}],"grants":[{"id":6219,"fairsharing_record_id":822,"organisation_id":1531,"relation":"maintains","created_at":"2021-09-30T09:27:53.067Z","updated_at":"2021-09-30T09:27:53.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":1531,"name":"International Standards Organisation (ISO) ISO/TC 46/SC 9: Identification and description","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10928,"fairsharing_record_id":822,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:20:26.634Z","updated_at":"2023-09-27T14:20:26.634Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"823","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-10-18T08:55:17.053Z","metadata":{"doi":"10.25504/FAIRsharing.27rndz","name":"Geographical Entity Ontology","status":"ready","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"MBrochhausen@uams.edu"},{"contact_name":"Bill Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":null}],"homepage":"https://github.com/mcwdsi/geographical-entity-ontology","citations":[],"identifier":823,"description":"The Geographical Entity Ontology (GEO) is an ontology of geographical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction).","abbreviation":"GEO","support_links":[{"url":"https://github.com/mcwdsi/geographical-entity-ontology/issues","name":"Issue tracker","type":"Contact form"},{"url":"https://github.com/mcwdsi/geographical-entity-ontology/wiki","name":"Wiki home page","type":"Help documentation"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GEO","name":"GEO","portal":"BioPortal"},{"url":"http://obofoundry.org/ontology/geo.html","name":"geo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001012","bsg-s001012"],"name":"FAIRsharing record for: Geographical Entity Ontology","abbreviation":"GEO","url":"https://fairsharing.org/10.25504/FAIRsharing.27rndz","doi":"10.25504/FAIRsharing.27rndz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geographical Entity Ontology (GEO) is an ontology of geographical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Human Geography","Physical Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2520,"relation":"applies_to_content"}],"grants":[{"id":11004,"fairsharing_record_id":823,"organisation_id":3055,"relation":"collaborates_on","created_at":"2023-10-16T14:39:24.232Z","updated_at":"2023-10-16T14:39:24.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11005,"fairsharing_record_id":823,"organisation_id":1810,"relation":"maintains","created_at":"2023-10-16T14:39:24.301Z","updated_at":"2023-10-16T14:39:24.301Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"824","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T15:46:06.000Z","updated_at":"2022-04-11T12:07:18.386Z","metadata":{"doi":"10.25504/FAIRsharing.tnu8V7","name":"Data Quality Vocabulary","status":"ready","homepage":"https://www.w3.org/TR/vocab-dqv/","identifier":824,"description":"Aiming to facilitate the publication of such data quality information on the Web, especially in the growing area of data catalogues, the W3C Data Web Best Practices Working (DWBP) group has developed the Data Quality Vocabulary (DQV). DQV is a (meta)data model implemented as an RDF vocabulary with properties and classes suitable for expressing the quality of datasets and their distributions. DQV has been conceived as a high-level, interoperable framework that must accommodate various views over data quality. DQV does not seek to determine what \"quality\" means. Quality lies in the eye of the beholder; and there is no objective, ideal definition of it. Some datasets will be judged as low-quality resources by some data consumers, while they will perfectly fit others' needs. There are heuristics designed to fit specific assessment situations that rely on quality indicators, such as pieces of data content, pieces of data meta-information and human ratings, to give indications about the suitability of data for some intended use. DQV re-uses the notions of quality dimensions, categories and metrics to represent various approaches to data quality assessments. It also stresses the importance of allowing different actors to assess the quality of datasets and publish their annotations, certificates, or mere opinions about a dataset.","abbreviation":"DQV","support_links":[{"url":"riccardo.albertoni@cnr.it","name":"Riccardo Albertoni","type":"Support email"},{"url":"aisaac@few.vu.nl","name":"Antoine Isaac","type":"Support email"},{"url":"https://github.com/w3c/dwbp","name":"GitHub Repository","type":"Github"},{"url":"https://www.w3.org/2013/dwbp/wiki/Data_quality_notes","name":"Wiki Pages","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001339","bsg-s001339"],"name":"FAIRsharing record for: Data Quality Vocabulary","abbreviation":"DQV","url":"https://fairsharing.org/10.25504/FAIRsharing.tnu8V7","doi":"10.25504/FAIRsharing.tnu8V7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Aiming to facilitate the publication of such data quality information on the Web, especially in the growing area of data catalogues, the W3C Data Web Best Practices Working (DWBP) group has developed the Data Quality Vocabulary (DQV). DQV is a (meta)data model implemented as an RDF vocabulary with properties and classes suitable for expressing the quality of datasets and their distributions. DQV has been conceived as a high-level, interoperable framework that must accommodate various views over data quality. DQV does not seek to determine what \"quality\" means. Quality lies in the eye of the beholder; and there is no objective, ideal definition of it. Some datasets will be judged as low-quality resources by some data consumers, while they will perfectly fit others' needs. There are heuristics designed to fit specific assessment situations that rely on quality indicators, such as pieces of data content, pieces of data meta-information and human ratings, to give indications about the suitability of data for some intended use. DQV re-uses the notions of quality dimensions, categories and metrics to represent various approaches to data quality assessments. It also stresses the importance of allowing different actors to assess the quality of datasets and publish their annotations, certificates, or mere opinions about a dataset.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Quality"],"domains":["Data retrieval"],"taxonomies":[],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1325,"relation":"undefined"}],"grants":[{"id":6221,"fairsharing_record_id":824,"organisation_id":3201,"relation":"maintains","created_at":"2021-09-30T09:27:53.136Z","updated_at":"2021-09-30T09:27:53.136Z","grant_id":null,"is_lead":false,"saved_state":{"id":3201,"name":"W3C - Data on the Web Best Practices Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6220,"fairsharing_record_id":824,"organisation_id":1567,"relation":"maintains","created_at":"2021-09-30T09:27:53.104Z","updated_at":"2021-09-30T09:27:53.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":1567,"name":"Italian National Research Council (CNR) - Institute for Applied Mathematics and Information Technologies Enrico Magenes","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9159,"fairsharing_record_id":824,"organisation_id":3197,"relation":"maintains","created_at":"2022-04-11T12:07:18.374Z","updated_at":"2022-04-11T12:07:18.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":3197,"name":"Vrije Universiteit Amsterdam, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"825","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T12:24:29.000Z","updated_at":"2022-07-20T11:38:36.466Z","metadata":{"doi":"10.25504/FAIRsharing.e07e1b","name":"Water Markup Language","status":"ready","contacts":[{"contact_name":"OGC Standards Contact","contact_email":"standards@opengeospatial.org"}],"homepage":"http://www.opengeospatial.org/standards/waterml","identifier":825,"description":"WaterML 2.0 is a standard information model for the representation of water observations data, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of exchange requirements. The primary goal of this profile is to capture the semantics of hydrological observational data for data exchange. This will allow hydrological information systems to communicate data between systems and to end users.","abbreviation":"WaterML","support_links":[{"url":"https://www.ogc.org/standards/waterml#news","name":"Related news","type":"Blog/News"}],"year_creation":2012},"legacy_ids":["bsg-001318","bsg-s001318"],"name":"FAIRsharing record for: Water Markup Language","abbreviation":"WaterML","url":"https://fairsharing.org/10.25504/FAIRsharing.e07e1b","doi":"10.25504/FAIRsharing.e07e1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WaterML 2.0 is a standard information model for the representation of water observations data, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of exchange requirements. The primary goal of this profile is to capture the semantics of hydrological observational data for data exchange. This will allow hydrological information systems to communicate data between systems and to end users.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science","Hydrology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Observations"],"countries":["Australia","Canada","France","Germany","United States"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2182,"relation":"undefined"}],"grants":[{"id":6223,"fairsharing_record_id":825,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:53.190Z","updated_at":"2021-09-30T09:27:53.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"826","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-05-19T06:40:35.132Z","metadata":{"doi":"10.25504/FAIRsharing.g7b4rj","name":"WikiPathways","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@gmail.com"}],"homepage":"http://www.wikipathways.org/","citations":[],"identifier":826,"description":"WikiPathways simplifies the contribution and maintenance of biological pathway information. It is an open and collaborative platform that curates pathways, complementing existing databases like KEGG, Reactome, and Pathway Commons. The web-based format makes it easy for anyone to participate, from students to experts. The community takes on peer review, editorial curation, and maintenance tasks.","abbreviation":"WIKIPATHWAYS","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WIKIPATHWAYS","name":"WIKIPATHWAYS","portal":"BioPortal"}]},"legacy_ids":["bsg-000909","bsg-s000909"],"name":"FAIRsharing record for: WikiPathways","abbreviation":"WIKIPATHWAYS","url":"https://fairsharing.org/10.25504/FAIRsharing.g7b4rj","doi":"10.25504/FAIRsharing.g7b4rj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WikiPathways simplifies the contribution and maintenance of biological pathway information. It is an open and collaborative platform that curates pathways, complementing existing databases like KEGG, Reactome, and Pathway Commons. The web-based format makes it easy for anyone to participate, from students to experts. The community takes on peer review, editorial curation, and maintenance tasks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Virology","Epidemiology"],"domains":["Reaction data","Protein interaction","Signaling","Biological regulation","Molecular interaction","Genetic interaction","Drug interaction","Pathway model"],"taxonomies":["Anopheles gambiae","Arabidopsis thaliana","Bacillus subtilis","Bos taurus","Caenorhabditis elegans","Canis familiaris","Danio rerio","Drosophila melanogaster","Equus caballus","Escherichia coli","Gallus gallus","Gibberella zeae","Homo sapiens","Hordeum vulgare","Mus musculus","Mycobacterium tuberculosis","Oryza sativa","Pan troglodytes","Plasmodium falciparum","Populus trichocarpa","Rattus norvegicus","Saccharomyces cerevisiae","Solanum lycopersicum","Sus scrofa","Zea mays"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"790","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.371Z","metadata":{"doi":"10.25504/FAIRsharing.7z842d","name":"CDISC Standard for Exchange of Nonclinical Data","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/send","identifier":790,"description":"CDISC SEND is an implementation of the SDTM standard for nonclinical studies. SEND specifies a way to collect and present nonclinical data in a consistent format.","abbreviation":"CDISC SEND","support_links":[{"url":"https://www.cdisc.org/education/course/send-implementation","name":"SEND Implementation","type":"Training documentation"}]},"legacy_ids":["bsg-000036","bsg-s000036"],"name":"FAIRsharing record for: CDISC Standard for Exchange of Nonclinical Data","abbreviation":"CDISC SEND","url":"https://fairsharing.org/10.25504/FAIRsharing.7z842d","doi":"10.25504/FAIRsharing.7z842d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC SEND is an implementation of the SDTM standard for nonclinical studies. SEND specifies a way to collect and present nonclinical data in a consistent format.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17395},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11263},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11801},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11934},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12398}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["In vivo design"],"taxonomies":["Canis familiaris","Macaca fascicularis","Macaca mulatta","Metazoa","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Non-clinical trial"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6190,"fairsharing_record_id":790,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:51.845Z","updated_at":"2021-09-30T09:27:51.845Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6188,"fairsharing_record_id":790,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:27:51.769Z","updated_at":"2021-09-30T09:27:51.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6189,"fairsharing_record_id":790,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:27:51.807Z","updated_at":"2021-09-30T09:27:51.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6191,"fairsharing_record_id":790,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:27:51.877Z","updated_at":"2021-09-30T09:27:51.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"792","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2022-07-20T10:59:51.307Z","metadata":{"doi":"10.25504/FAIRsharing.v665h","name":"Minimal Standard Terminology for Gastrointestinal Endoscopy","status":"ready","contacts":[{"contact_name":"WEO Secretariat","contact_email":"secretariat@worldendo.org","contact_orcid":null}],"homepage":"https://www.worldendo.org/resources/minimal-standard-terminology-mst/","citations":[],"identifier":792,"description":"The Minimal Standard Terminology (MST) for gastrointestinal endoscopy is the result of a continuous work by WEO, the European Society of Gastrointestinal Endoscopy (ESGE), the American Society of Gastrointestinal Endoscopy (ASGE) and a large group of international collaborators. Standardization of the language of gastrointestinal endoscopy is becoming increasingly important on account of international collaboration, standardized documentation requirements, and computer-based reporting. The MST offers a selection of terms and attributes for appropriate description of findings, procedures and complications with regards to gastrointestinal endoscopy. It does not offer a complete reference for the endoscopic report.","abbreviation":"MST","support_links":[{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/MTHMST/index.html","name":"NLM's Metathesaurus MST Digestive Endoscopy (MTHMST)","type":"Other"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSTDE","name":"NLM Version of MST on BioPortal","portal":"BioPortal"}]},"legacy_ids":["bsg-000910","bsg-s000910"],"name":"FAIRsharing record for: Minimal Standard Terminology for Gastrointestinal Endoscopy","abbreviation":"MST","url":"https://fairsharing.org/10.25504/FAIRsharing.v665h","doi":"10.25504/FAIRsharing.v665h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimal Standard Terminology (MST) for gastrointestinal endoscopy is the result of a continuous work by WEO, the European Society of Gastrointestinal Endoscopy (ESGE), the American Society of Gastrointestinal Endoscopy (ASGE) and a large group of international collaborators. Standardization of the language of gastrointestinal endoscopy is becoming increasingly important on account of international collaboration, standardized documentation requirements, and computer-based reporting. The MST offers a selection of terms and attributes for appropriate description of findings, procedures and complications with regards to gastrointestinal endoscopy. It does not offer a complete reference for the endoscopic report.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gastroenterology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["endoscopy"],"countries":["Worldwide"],"publications":[{"id":3172,"pubmed_id":null,"title":"Minimal standard terminology for gastrointestinal endoscopy – MST 3.0","year":2009,"url":"http://dx.doi.org/10.1055/s-0029-1214949","authors":"Aabakken, Lars; Rembacken, Bjorn; LeMoine, Olivier; Kuznetsov, Konstantin; Rey, Jean-Francois; Rösch, Thomas; Eisen, Glen; Cotton, Peter; Fujino, Masayuki; ","journal":"Endoscopy","doi":"10.1055/s-0029-1214949","created_at":"2022-01-05T14:47:27.350Z","updated_at":"2022-01-05T14:47:27.350Z"}],"licence_links":[{"licence_name":"WEO MST Copyright Declaration","licence_id":900,"licence_url":"https://www.worldendo.org/resources/minimal-standard-terminology-mst/","link_id":2549,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"795","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-13T09:26:15.477Z","metadata":{"doi":"10.25504/FAIRsharing.znrhmd","name":"Heart Failure Ontology","status":"ready","contacts":[{"contact_name":"Liqin Wang","contact_email":"liqin.j.wang@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/HFO","citations":[],"identifier":795,"description":"Heart failure ontology is an attempt to define heart-failure-relevant information including the causes and risk factors, signs and symptoms, diagnostic tests and results, and treatment.","abbreviation":"HFO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HFO","name":"HFO","portal":"BioPortal"}]},"legacy_ids":["bsg-000911","bsg-s000911"],"name":"FAIRsharing record for: Heart Failure Ontology","abbreviation":"HFO","url":"https://fairsharing.org/10.25504/FAIRsharing.znrhmd","doi":"10.25504/FAIRsharing.znrhmd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Heart failure ontology is an attempt to define heart-failure-relevant information including the causes and risk factors, signs and symptoms, diagnostic tests and results, and treatment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Human Biology"],"domains":["Heart"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"796","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:57:43.688Z","metadata":{"doi":"10.25504/FAIRsharing.4c9hhn","name":"TDWG Access Protocol for Information Retrieval","status":"ready","contacts":[{"contact_name":"Renato De Giovanni","contact_email":"renato@cria.org.br","contact_orcid":"0000-0002-7104-7266"}],"homepage":"http://www.tdwg.org/standards/449/","identifier":796,"description":"The TDWG Access Protocol for Information Retrieval (TAPIR) is a Web Service protocol and XML schema to perform queries across distributed databases of varied physical and logical structure. It was originally designed to be used by federated networks. TAPIR is intended for communication between applications, using HTTP as the transport mechanism. TAPIR's flexibility makes it suitable to both very simple service implementations where the provider only responds to a set of pre-defined queries, or more advanced implementations where the provider software can dynamically parse complex queries referencing output models supplied by the client.","abbreviation":"TAPIR","support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","type":"Mailing list"},{"url":"http://tdwg.github.io/tapir/docs/tdwg_tapir_specification_2010-05-05.html","name":"TAPIR - TDWG Access Protocol for Information Retrieval","type":"Github"},{"url":"http://tdwg.github.io/tapir/cs/","name":"TAPIR concept name server","type":"Github"},{"url":"http://tdwg.github.io/tapir/docs/TAPIRNetworkBuildersGuide_2010-05-05.html","name":"TAPIR - TDWG Access Protocol for Information Retrieval","type":"Github"}],"year_creation":2009,"associated_tools":[{"url":"https://sourceforge.net/projects/digir/files/TapirLink/","name":"TapirLink"},{"url":"https://sourceforge.net/p/digir/svn/HEAD/tree/pywrapper/","name":"PyWrapper"},{"url":"https://sourceforge.net/p/digir/svn/HEAD/tree/tapirtester/","name":"TAPIR Tester"},{"url":"https://sourceforge.net/p/digir/svn/HEAD/tree/tapirbuilder/","name":"TAPIR Builder"}]},"legacy_ids":["bsg-000196","bsg-s000196"],"name":"FAIRsharing record for: TDWG Access Protocol for Information Retrieval","abbreviation":"TAPIR","url":"https://fairsharing.org/10.25504/FAIRsharing.4c9hhn","doi":"10.25504/FAIRsharing.4c9hhn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TDWG Access Protocol for Information Retrieval (TAPIR) is a Web Service protocol and XML schema to perform queries across distributed databases of varied physical and logical structure. It was originally designed to be used by federated networks. TAPIR is intended for communication between applications, using HTTP as the transport mechanism. TAPIR's flexibility makes it suitable to both very simple service implementations where the provider only responds to a set of pre-defined queries, or more advanced implementations where the provider software can dynamically parse complex queries referencing output models supplied by the client.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12001},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12270}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Computer Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1250,"relation":"undefined"}],"grants":[{"id":6192,"fairsharing_record_id":796,"organisation_id":2705,"relation":"maintains","created_at":"2021-09-30T09:27:51.904Z","updated_at":"2021-09-30T09:27:51.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":2705,"name":"TAPIR task group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"800","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.078Z","metadata":{"doi":"10.25504/FAIRsharing.k5s8zj","name":"Multilevel Healthcare Information Modeling","status":"uncertain","contacts":[{"contact_name":"Luciana Tricai Cavalini","contact_email":"lutricav@mlhim.org","contact_orcid":"0000-0002-1087-1024"}],"homepage":"https://mlhim-specifications.readthedocs.io/en/master/index.html","identifier":800,"description":"The Multilevel Healthcare Information Modeling (MLHIM) specifications enables the exchange of syntactically and semantically interoperable data extracts between distributed, independently developed, biomedical databases and clinical applications, promoting syntactic and semantic integration of Translational Research data. This record has been marked as having an Uncertain status as the original homepage (http://mlhim.org) and GitHub repository are no longer available. If you have any information on the current status of this format, please get in touch.","abbreviation":"MLHIM","year_creation":2010},"legacy_ids":["bsg-000524","bsg-s000524"],"name":"FAIRsharing record for: Multilevel Healthcare Information Modeling","abbreviation":"MLHIM","url":"https://fairsharing.org/10.25504/FAIRsharing.k5s8zj","doi":"10.25504/FAIRsharing.k5s8zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Multilevel Healthcare Information Modeling (MLHIM) specifications enables the exchange of syntactically and semantically interoperable data extracts between distributed, independently developed, biomedical databases and clinical applications, promoting syntactic and semantic integration of Translational Research data. This record has been marked as having an Uncertain status as the original homepage (http://mlhim.org) and GitHub repository are no longer available. If you have any information on the current status of this format, please get in touch.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12467}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science","Translational Medicine"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Brazil","France","Germany","New Zealand","United Kingdom","United States"],"publications":[{"id":259,"pubmed_id":null,"title":"Knowledge engineering of healthcare applications based on minimalist multilevel models","year":2012,"url":"http://doi.org/10.1109/HealthCom.2012.6379454","authors":"Cavalini LT; Cook TW","journal":"Proceedings of the 14th IEEE International Conference on e-Health Networking, Applications and Services (Healthcom 2012)","doi":"10.1109/HealthCom.2012.6379454","created_at":"2021-09-30T08:22:47.991Z","updated_at":"2021-09-30T08:22:47.991Z"},{"id":1808,"pubmed_id":null,"title":"Health Informatics: The Relevance of Open Source and Multilevel Modeling","year":2011,"url":"http://doi.org/10.1007/978-3-642-24418-6_29","authors":"Cavalini LT; Cook TW","journal":"IFIP Advances in Information and Communication Technology","doi":"10.1007/978-3-642-24418-6_29","created_at":"2021-09-30T08:25:42.962Z","updated_at":"2021-09-30T08:25:42.962Z"}],"licence_links":[],"grants":[{"id":6196,"fairsharing_record_id":800,"organisation_id":2451,"relation":"maintains","created_at":"2021-09-30T09:27:52.086Z","updated_at":"2021-09-30T09:27:52.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":2451,"name":"Rio de Janeiro State University, Brazil","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6193,"fairsharing_record_id":800,"organisation_id":1876,"relation":"funds","created_at":"2021-09-30T09:27:51.965Z","updated_at":"2021-09-30T09:27:51.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":1876,"name":"Ministry of Science, Technology and Innovation (CNPq), Brasilia, Brazil","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6194,"fairsharing_record_id":800,"organisation_id":1079,"relation":"funds","created_at":"2021-09-30T09:27:52.007Z","updated_at":"2021-09-30T09:27:52.007Z","grant_id":null,"is_lead":false,"saved_state":{"id":1079,"name":"Fundaeo Carlos Chagas Filho de Amparo, Pesquisa do Estado do Rio de Janeiro (FAPERJ), Rio de Janeiro, Brazil","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6195,"fairsharing_record_id":800,"organisation_id":1813,"relation":"funds","created_at":"2021-09-30T09:27:52.049Z","updated_at":"2021-09-30T09:27:52.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1813,"name":"Medicine Assisted by Scientific Computing (MACC), National Institute of Science and Technology, Rio de Janeiro, Brasil","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6197,"fairsharing_record_id":800,"organisation_id":1022,"relation":"maintains","created_at":"2021-09-30T09:27:52.122Z","updated_at":"2021-09-30T09:27:52.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":1022,"name":"Fluminense Federal University, Niterai, RJ, Brazil","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"817","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:58:29.685Z","metadata":{"doi":"10.25504/FAIRsharing.tepvv5","name":"FOODIE core ontology","status":"ready","contacts":[{"contact_name":"Raul Palma","contact_email":"rpalma@man.poznan.pl"}],"homepage":"http://foodie-cloud.github.io/model/FOODIE.html","identifier":817,"description":"The FOODIE project is focused on building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and large-scale integration of data relevant for farming production. The FOODIE ontology is an INSPIRE-based vocabulary for the publication of Agricultural Linked Data. The ontology provides a semantic representation of the FOODIE core data model, which was specified in UML by extending and specializing the INSPIRE data model for Agricultural and Aquaculture Facilities (AF), which is in turn based on the ISO/OGC standards for geographical information.","abbreviation":"FOODIE","support_links":[{"url":"https://github.com/FOODIE-cloud/ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001114","bsg-s001114"],"name":"FAIRsharing record for: FOODIE core ontology","abbreviation":"FOODIE","url":"https://fairsharing.org/10.25504/FAIRsharing.tepvv5","doi":"10.25504/FAIRsharing.tepvv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FOODIE project is focused on building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and large-scale integration of data relevant for farming production. The FOODIE ontology is an INSPIRE-based vocabulary for the publication of Agricultural Linked Data. The ontology provides a semantic representation of the FOODIE core data model, which was specified in UML by extending and specializing the INSPIRE data model for Agricultural and Aquaculture Facilities (AF), which is in turn based on the ISO/OGC standards for geographical information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Agriculture"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Czech Republic","Poland","Spain"],"publications":[{"id":2069,"pubmed_id":null,"title":"An INSPIRE-Based Vocabulary for the Publication of Agricultural Linked Data","year":2016,"url":"https://link.springer.com/chapter/10.1007/978-3-319-33245-1_13","authors":"Palma R., Reznik T., Esbrí M., Charvat K., Mazurek C.","journal":"In: Tamma V., Dragoni M., Gonçalves R., Ławrynowicz A. (eds) Ontology Engineering. OWLED 2015. Lecture Notes in Computer Science, vol 9557","doi":null,"created_at":"2021-09-30T08:26:13.191Z","updated_at":"2021-09-30T11:28:34.328Z"}],"licence_links":[],"grants":[{"id":6209,"fairsharing_record_id":817,"organisation_id":2779,"relation":"funds","created_at":"2021-09-30T09:27:52.615Z","updated_at":"2021-09-30T09:27:52.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":2779,"name":"The FOODIE Project","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6208,"fairsharing_record_id":817,"organisation_id":2351,"relation":"maintains","created_at":"2021-09-30T09:27:52.578Z","updated_at":"2021-09-30T09:27:52.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":2351,"name":"Poznan Supercomputing and Networking Center, Poznan, Poland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"818","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T12:02:01.000Z","updated_at":"2023-09-29T11:54:58.567Z","metadata":{"doi":"10.25504/FAIRsharing.33aa85","name":"ISO 639-3 Codes for the representation of names of languages - Part 3: Alpha-3 code for comprehensive coverage of languages","status":"ready","contacts":[{"contact_name":"SIL International","contact_email":"iso639-3@sil.org"}],"homepage":"https://www.iso.org/standard/39534.html","citations":[],"identifier":818,"description":"ISO 639-3 provides a comprehensive set of identifiers for all languages for use in a wide range of applications, including linguistics, lexicography and internationalization of information systems. It attempts to represent all known full languages. ISO 639 provides three language code sets: one is a two-letter code (ISO 639-1) and two others are three-letter codes (ISO 639-2 and ISO 639-3) for the representation of names of languages. The three-letter codes in ISO 639-2 and ISO 639-3 are complementary and compatible. The two codes have been devised for different purposes. The set of individual languages listed in ISO 639-2 is a subset of those listed in ISO 639-3. The codes differ in that ISO 639-2 includes code elements representing some individual languages and also collections of languages, while ISO 639-3 includes code elements for all known individual languages but not for collections of languages. Overall, the set of individual languages listed in ISO 639-3 is much larger than the set of individual languages listed in ISO 639-2.","abbreviation":"ISO 639-3","support_links":[{"url":"https://iso639-3.sil.org/sites/iso639-3/files/criteria_for_coded_languages.pdf","name":"Criteria for Inclusion","type":"Help documentation"},{"url":"https://iso639-3.sil.org/about/relationships","name":"Relationship to other ISO 639 Standards","type":"Help documentation"},{"url":"https://iso639-3.sil.org/about/scope","name":"Scope of Denotation for Language Identifiers","type":"Help documentation"},{"url":"https://iso639-3.sil.org/about/types","name":"Types of Languages","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001407","bsg-s001407"],"name":"FAIRsharing record for: ISO 639-3 Codes for the representation of names of languages - Part 3: Alpha-3 code for comprehensive coverage of languages","abbreviation":"ISO 639-3","url":"https://fairsharing.org/10.25504/FAIRsharing.33aa85","doi":"10.25504/FAIRsharing.33aa85","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 639-3 provides a comprehensive set of identifiers for all languages for use in a wide range of applications, including linguistics, lexicography and internationalization of information systems. It attempts to represent all known full languages. ISO 639 provides three language code sets: one is a two-letter code (ISO 639-1) and two others are three-letter codes (ISO 639-2 and ISO 639-3) for the representation of names of languages. The three-letter codes in ISO 639-2 and ISO 639-3 are complementary and compatible. The two codes have been devised for different purposes. The set of individual languages listed in ISO 639-2 is a subset of those listed in ISO 639-3. The codes differ in that ISO 639-2 includes code elements representing some individual languages and also collections of languages, while ISO 639-3 includes code elements for all known individual languages but not for collections of languages. Overall, the set of individual languages listed in ISO 639-3 is much larger than the set of individual languages listed in ISO 639-2.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Informatics","Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Language"],"countries":["United States","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6211,"fairsharing_record_id":818,"organisation_id":2567,"relation":"maintains","created_at":"2021-09-30T09:27:52.690Z","updated_at":"2021-09-30T09:27:52.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":2567,"name":"SIL International","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":6210,"fairsharing_record_id":818,"organisation_id":1526,"relation":"maintains","created_at":"2021-09-30T09:27:52.654Z","updated_at":"2021-09-30T09:27:52.654Z","grant_id":null,"is_lead":false,"saved_state":{"id":1526,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 2: Terminology workflow and language coding","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10924,"fairsharing_record_id":818,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:16:35.581Z","updated_at":"2023-09-27T14:16:35.581Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"819","type":"fairsharing_records","attributes":{"created_at":"2018-08-16T22:27:02.000Z","updated_at":"2022-02-08T10:47:47.393Z","metadata":{"doi":"10.25504/FAIRsharing.6bd353","name":"Darwin Information Typing Architecture","status":"ready","contacts":[{"contact_name":"Kristen Eberlein","contact_email":"kris@eberleinconsulting.com"}],"homepage":"http://docs.oasis-open.org/dita/v1.2/os/spec/DITA1.2-spec.html","identifier":819,"description":"The Darwin Information Typing Architecture (DITA) 1.2 is a standard for writing, representing as well as defining the topic information in a variety of document types.","abbreviation":"DITA","year_creation":2010},"legacy_ids":["bsg-001237","bsg-s001237"],"name":"FAIRsharing record for: Darwin Information Typing Architecture","abbreviation":"DITA","url":"https://fairsharing.org/10.25504/FAIRsharing.6bd353","doi":"10.25504/FAIRsharing.6bd353","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Darwin Information Typing Architecture (DITA) 1.2 is a standard for writing, representing as well as defining the topic information in a variety of document types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6212,"fairsharing_record_id":819,"organisation_id":2266,"relation":"maintains","created_at":"2021-09-30T09:27:52.730Z","updated_at":"2021-09-30T09:27:52.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":2266,"name":"Open Standards for Information Society (OASIS)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6213,"fairsharing_record_id":819,"organisation_id":1525,"relation":"maintains","created_at":"2021-09-30T09:27:52.761Z","updated_at":"2021-09-30T09:27:52.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"820","type":"fairsharing_records","attributes":{"created_at":"2018-10-14T09:35:48.000Z","updated_at":"2022-07-20T09:05:44.423Z","metadata":{"doi":"10.25504/FAIRsharing.667cc3","name":"AS/NZS ISO 19115.1:2015 Metadata","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"spatial@pmc.gov.au"},{"contact_name":"Australia New Zealand Metadata Working Group (ANZMWG)","contact_email":"anz_mdwg@ga.gov.au","contact_orcid":null}],"homepage":"https://www.anzlic.gov.au/resources/asnzs-iso-1911512015-metadata","citations":[],"identifier":820,"description":"The AS/NZS ISO 19115.1:2015 metadata standard (including the 2018 Amendment No.1) extends ISO 19115-1. ANZLIC provides an extension for this metadata standard specific to the Australian and New Zealand geo-spatial region. ","abbreviation":null,"support_links":[{"url":"https://www.anzlic.gov.au/sites/default/files/files/2015_metadata_profile_guidelines_standard.pdf","name":"2016 Metadata Guidelines Standard","type":"Help documentation"},{"url":"https://icsm-au.github.io/metadata-working-group/","name":"Best Practice Guide","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"https://www.ga.gov.au/data-pubs/datastandards/cataloguestandard/metadata-profile-validator","name":"Metadata Validator"}]},"legacy_ids":["bsg-001325","bsg-s001325"],"name":"FAIRsharing record for: AS/NZS ISO 19115.1:2015 Metadata","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.667cc3","doi":"10.25504/FAIRsharing.667cc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AS/NZS ISO 19115.1:2015 metadata standard (including the 2018 Amendment No.1) extends ISO 19115-1. ANZLIC provides an extension for this metadata standard specific to the Australian and New Zealand geo-spatial region. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geology","Ecology","Earth Science","Freshwater Science"],"domains":["Resource metadata","Marine environment","Transport"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Metadata standardization","Natural Resources, Earth and Environment"],"countries":["Australia","New Zealand"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":689,"relation":"undefined"}],"grants":[{"id":9679,"fairsharing_record_id":820,"organisation_id":3599,"relation":"maintains","created_at":"2022-07-15T16:47:12.043Z","updated_at":"2022-07-15T16:47:12.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":3599,"name":"The Spatial Information Council (ANZLIC)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6214,"fairsharing_record_id":820,"organisation_id":138,"relation":"maintains","created_at":"2021-09-30T09:27:52.787Z","updated_at":"2021-09-30T09:27:52.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":138,"name":"Australian Department of Industry, innovation and Science","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"821","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T09:38:25.000Z","updated_at":"2022-04-11T12:07:29.361Z","metadata":{"name":"Web3 Unique Representation of Carbohydrate Structures","status":"in_development","contacts":[{"contact_name":"Issaku Yamada","contact_email":"issaku@noguchi.or.jp","contact_orcid":"0000-0001-9504-189X"}],"homepage":"http://www.wurcs-wg.org","identifier":821,"description":"The Web3 Unique Representation of Carbohydrate Structures (WURCS) defines a generalizable and unique linear representation for carbohydrate structures. A recent update (WURCS 2.0) was created to handle structural ambiguity around (potential) carbonyl groups incidental to the carbohydrate analysis. WURCS 2.0 can represent a wider variety of carbohydrate structures containing ambiguous monosaccharides, such as those whose ring closure is undefined or whose anomeric information is only known.","abbreviation":"WURCS","year_creation":2014,"associated_tools":[{"url":"http://www.wurcs-wg.org/software.php","name":"Available Software"}]},"legacy_ids":["bsg-001356","bsg-s001356"],"name":"FAIRsharing record for: Web3 Unique Representation of Carbohydrate Structures","abbreviation":"WURCS","url":"https://fairsharing.org/fairsharing_records/821","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Web3 Unique Representation of Carbohydrate Structures (WURCS) defines a generalizable and unique linear representation for carbohydrate structures. A recent update (WURCS 2.0) was created to handle structural ambiguity around (potential) carbonyl groups incidental to the carbohydrate analysis. WURCS 2.0 can represent a wider variety of carbohydrate structures containing ambiguous monosaccharides, such as those whose ring closure is undefined or whose anomeric information is only known.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry"],"domains":["Chemical formula","Molecular structure","Carbohydrate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2009,"pubmed_id":24897372,"title":"WURCS: the Web3 unique representation of carbohydrate structures.","year":2014,"url":"http://doi.org/10.1021/ci400571e","authors":"Tanaka K,Aoki-Kinoshita KF,Kotera M,Sawaki H,Tsuchiya S,Fujita N,Shikanai T,Kato M,Kawano S,Yamada I,Narimatsu H","journal":"J Chem Inf Model","doi":"10.1021/ci400571e","created_at":"2021-09-30T08:26:06.298Z","updated_at":"2021-09-30T08:26:06.298Z"},{"id":2017,"pubmed_id":28263066,"title":"WURCS 2.0 Update To Encapsulate Ambiguous Carbohydrate Structures.","year":2017,"url":"http://doi.org/10.1021/acs.jcim.6b00650","authors":"Matsubara M,Aoki-Kinoshita KF,Aoki NP,Yamada I,Narimatsu H","journal":"J Chem Inf Model","doi":"10.1021/acs.jcim.6b00650","created_at":"2021-09-30T08:26:07.234Z","updated_at":"2021-09-30T08:26:07.234Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1426,"relation":"undefined"}],"grants":[{"id":6215,"fairsharing_record_id":821,"organisation_id":2813,"relation":"maintains","created_at":"2021-09-30T09:27:52.824Z","updated_at":"2021-09-30T09:27:52.824Z","grant_id":null,"is_lead":false,"saved_state":{"id":2813,"name":"The Noguchi Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6217,"fairsharing_record_id":821,"organisation_id":2591,"relation":"maintains","created_at":"2021-09-30T09:27:52.933Z","updated_at":"2021-09-30T09:27:52.933Z","grant_id":null,"is_lead":false,"saved_state":{"id":2591,"name":"Soka University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6218,"fairsharing_record_id":821,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:52.974Z","updated_at":"2021-09-30T09:27:52.974Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9308,"fairsharing_record_id":821,"organisation_id":2007,"relation":"maintains","created_at":"2022-04-11T12:07:29.348Z","updated_at":"2022-04-11T12:07:29.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"772","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-03-22T14:49:20.471Z","metadata":{"doi":"10.25504/FAIRsharing.2787qk","name":"Ciona intestinalis Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage","citations":[],"identifier":772,"description":"The first ontology describing the anatomy and the development of Ciona intestinalis, based on the Hotta developmental table.","abbreviation":"CIINTEADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIINTEADO","name":"CIINTEADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000895","bsg-s000895"],"name":"FAIRsharing record for: Ciona intestinalis Anatomy and Development Ontology","abbreviation":"CIINTEADO","url":"https://fairsharing.org/10.25504/FAIRsharing.2787qk","doi":"10.25504/FAIRsharing.2787qk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Ciona intestinalis, based on the Hotta developmental table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Ciona intestinalis"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10442,"fairsharing_record_id":772,"organisation_id":1974,"relation":"funds","created_at":"2023-03-22T14:48:34.946Z","updated_at":"2023-03-22T14:48:34.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"774","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-13T13:26:02.326Z","metadata":{"doi":"10.25504/FAIRsharing.7k29h0","name":"Holistic Ontology of Rare Diseases","status":"ready","contacts":[{"contact_name":"Laia Subirats","contact_email":"laia.subirats@gmail.com"}],"homepage":"https://sites.google.com/site/laiasubirats","citations":[],"identifier":774,"description":"This ontology describes the bio-psico-social state of a person of rare diseses in a holistic way. It considers several contents such as disease, psychological, social, environmental state of the person.","abbreviation":"HORD","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HORD","name":"HORD","portal":"BioPortal"}]},"legacy_ids":["bsg-000897","bsg-s000897"],"name":"FAIRsharing record for: Holistic Ontology of Rare Diseases","abbreviation":"HORD","url":"https://fairsharing.org/10.25504/FAIRsharing.7k29h0","doi":"10.25504/FAIRsharing.7k29h0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology describes the bio-psico-social state of a person of rare diseses in a holistic way. It considers several contents such as disease, psychological, social, environmental state of the person.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Primary Health Care"],"domains":["Rare disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"776","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2023-03-15T07:48:21.622Z","metadata":{"doi":"10.25504/FAIRsharing.q053vb","name":"MFO Mental Disease Ontology","status":"ready","contacts":[{"contact_name":"Janna Hastings","contact_email":"janna.hastings@gmail.com"}],"homepage":"https://github.com/jannahastings/mental-functioning-ontology","citations":[],"identifier":776,"description":"An ontology to describe and classify mental diseases such as schizophrenia, annotated with DSM-IV and ICD codes where applicable.","abbreviation":"MFOMD","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MFOMD","name":"MFOMD","portal":"BioPortal"}]},"legacy_ids":["bsg-000922","bsg-s000922"],"name":"FAIRsharing record for: MFO Mental Disease Ontology","abbreviation":"MFOMD","url":"https://fairsharing.org/10.25504/FAIRsharing.q053vb","doi":"10.25504/FAIRsharing.q053vb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology to describe and classify mental diseases such as schizophrenia, annotated with DSM-IV and ICD codes where applicable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Psychiatry"],"domains":["Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"777","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2021-11-24T13:14:23.257Z","metadata":{"doi":"10.25504/FAIRsharing.w2mrnx","name":"Computer Assisted Brain Injury Rehabilitation Ontology","status":"ready","contacts":[{"contact_name":"Dimitrios Zikos","contact_email":"dimitriszikos@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/CABRO","citations":[{"pubmed_id":23823389,"publication_id":2218}],"identifier":777,"description":"CABRO is a web ontology for the semantic representation of the computer assisted brain trauma rehabilitation domain. This research area employs the use of robotic devices, adaptation software and machine learning to facilitate interactive, adaptive and personalized rehabilitation care, patient monitoring and assisted living.","abbreviation":"CABRO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CABRO","name":"CABRO","portal":"BioPortal"}]},"legacy_ids":["bsg-000901","bsg-s000901"],"name":"FAIRsharing record for: Computer Assisted Brain Injury Rehabilitation Ontology","abbreviation":"CABRO","url":"https://fairsharing.org/10.25504/FAIRsharing.w2mrnx","doi":"10.25504/FAIRsharing.w2mrnx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CABRO is a web ontology for the semantic representation of the computer assisted brain trauma rehabilitation domain. This research area employs the use of robotic devices, adaptation software and machine learning to facilitate interactive, adaptive and personalized rehabilitation care, patient monitoring and assisted living.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Monitoring","Brain","Injury"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2218,"pubmed_id":23823389,"title":"A web ontology for brain trauma patient computer-assisted rehabilitation.","year":2013,"url":"https://www.ncbi.nlm.nih.gov/pubmed/23823389","authors":"Zikos D,Galatas G,Metsis V,Makedon F","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:26:29.948Z","updated_at":"2021-09-30T08:26:29.948Z"}],"licence_links":[],"grants":[{"id":6167,"fairsharing_record_id":777,"organisation_id":695,"relation":"maintains","created_at":"2021-09-30T09:27:51.023Z","updated_at":"2021-09-30T09:27:51.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":695,"name":"Department of Computer Science and Engineering, University of Texas Arlington, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"778","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2021-11-24T13:18:41.202Z","metadata":{"doi":"10.25504/FAIRsharing.w8g777","name":"Human Interaction Network Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.hegroup.org/onenettheory.html","identifier":778,"description":"The Human Interaction Network Ontology (HINO) is an INO extension for the domain of human interaction networks. It has incorporated Reactome reactions and pathways. Like INO, HINO aligns with BFO. HINO is developed following the OBO Foundry principles. Please note that the homepage listed is an indirect homepage only, as no project-specific homepage could be found.","abbreviation":"HINO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HINO","name":"HINO","portal":"BioPortal"}]},"legacy_ids":["bsg-000898","bsg-s000898"],"name":"FAIRsharing record for: Human Interaction Network Ontology","abbreviation":"HINO","url":"https://fairsharing.org/10.25504/FAIRsharing.w8g777","doi":"10.25504/FAIRsharing.w8g777","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Interaction Network Ontology (HINO) is an INO extension for the domain of human interaction networks. It has incorporated Reactome reactions and pathways. Like INO, HINO aligns with BFO. HINO is developed following the OBO Foundry principles. Please note that the homepage listed is an indirect homepage only, as no project-specific homepage could be found.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Network model","Molecular interaction","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":737,"pubmed_id":null,"title":"HINO: a BFO-aligned ontology representing human molecular interactions and pathways","year":2013,"url":"https://dev.arxiv.org/abs/1311.3355","authors":"Yongqun He, Zoushuang Xiang","journal":"arXiv","doi":null,"created_at":"2021-09-30T08:23:41.192Z","updated_at":"2021-09-30T11:29:51.837Z"}],"licence_links":[],"grants":[{"id":6168,"fairsharing_record_id":778,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:51.065Z","updated_at":"2021-09-30T09:27:51.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"779","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:16:54.000Z","updated_at":"2022-11-01T11:56:43.880Z","metadata":{"doi":"10.25504/FAIRsharing.o8TYnW","name":"FAIR Metrics - Resource Identifier in Metadata","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F3","citations":[],"identifier":779,"description":"FM-F3 provides a measurement of whether or not the metadata document contains the globally unique and persistent identifier for the digital resource. The discovery of a digital object should be possible from its metadata. For this to happen, the metadata must explicitly contain the identifier for the digital resource it describes. In addition, since many digital objects cannot be arbitrarily extended to include references to their metadata, in many cases the only means to discover the metadata related to a digital object will be to search based on the GUID of the digital object itself. To this end, the GUID of the metadata and the GUID of the digital resource it describes must be provided. This metric applies to part F3 of the FAIR Principles.","abbreviation":"FM-F3","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001345","bsg-s001345"],"name":"FAIRsharing record for: FAIR Metrics - Resource Identifier in Metadata","abbreviation":"FM-F3","url":"https://fairsharing.org/10.25504/FAIRsharing.o8TYnW","doi":"10.25504/FAIRsharing.o8TYnW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-F3 provides a measurement of whether or not the metadata document contains the globally unique and persistent identifier for the digital resource. The discovery of a digital object should be possible from its metadata. For this to happen, the metadata must explicitly contain the identifier for the digital resource it describes. In addition, since many digital objects cannot be arbitrarily extended to include references to their metadata, in many cases the only means to discover the metadata related to a digital object will be to search based on the GUID of the digital object itself. To this end, the GUID of the metadata and the GUID of the digital resource it describes must be provided. This metric applies to part F3 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Centrally registered identifier","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1411,"relation":"undefined"}],"grants":[{"id":6169,"fairsharing_record_id":779,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:51.106Z","updated_at":"2021-09-30T09:27:51.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6170,"fairsharing_record_id":779,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:51.144Z","updated_at":"2021-09-30T09:27:51.144Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6171,"fairsharing_record_id":779,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:51.177Z","updated_at":"2021-09-30T09:27:51.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6172,"fairsharing_record_id":779,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:51.220Z","updated_at":"2021-09-30T09:27:51.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"780","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T10:30:45.000Z","updated_at":"2022-12-14T08:18:32.816Z","metadata":{"doi":"10.25504/FAIRsharing.ochiOn","name":"IVOA Standard for Unified Content Descriptors","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/UCD.html","citations":[{"publication_id":2964}],"identifier":780,"description":"The IVOA Standard for Unified Content Descriptors document describes the current understanding of the IVOA controlled vocabulary for describing astronomical data quantities, called Unified Content Descriptors (UCDs). The present document defines a new standard (named UCD1+) improving the first generation of UCDs (UCD1). The basic idea is to adopt a new syntax and vocabulary requiring little effort for people to adapt software already using UCD1. This document also addresses the questions of maintenance and evolution of the UCD1+. Examples of use cases within the Virtual Observatory and tools for using UCD1+ are also described.","abbreviation":"IVOA UCD","support_links":[{"url":"http://www.ivoa.net/Documents/REC/UCD/UCD-20050812.html","name":"View Standard","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-001205","bsg-s001205"],"name":"FAIRsharing record for: IVOA Standard for Unified Content Descriptors","abbreviation":"IVOA UCD","url":"https://fairsharing.org/10.25504/FAIRsharing.ochiOn","doi":"10.25504/FAIRsharing.ochiOn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA Standard for Unified Content Descriptors document describes the current understanding of the IVOA controlled vocabulary for describing astronomical data quantities, called Unified Content Descriptors (UCDs). The present document defines a new standard (named UCD1+) improving the first generation of UCDs (UCD1). The basic idea is to adopt a new syntax and vocabulary requiring little effort for people to adapt software already using UCD1. This document also addresses the questions of maintenance and evolution of the UCD1+. Examples of use cases within the Virtual Observatory and tools for using UCD1+ are also described.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11462}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2964,"pubmed_id":null,"title":"An IVOA Standard for Unified Content Descriptors Version 1.10","year":2005,"url":"http://dx.doi.org/10.5479/ADS/bib/2005ivoa.spec.0819D","authors":"Derriere, Sébastien; Preite Martinez, Andrea; Williams, Roy; Gray, Norman; Mann, Robert; McDowell, Jonathan; Mc Glynn, Thomas; Ochsenbein, François; Osuna, Pedro; Rixon, Guy","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.258Z","updated_at":"2021-09-30T08:28:05.258Z"}],"licence_links":[],"grants":[{"id":6173,"fairsharing_record_id":780,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:51.256Z","updated_at":"2021-09-30T09:27:51.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6174,"fairsharing_record_id":780,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:27:51.297Z","updated_at":"2021-09-30T09:27:51.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"784","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T10:18:24.000Z","updated_at":"2022-12-14T08:18:43.697Z","metadata":{"doi":"10.25504/FAIRsharing.ZZZvAw","name":"Units in the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOUnits/index.html","citations":[{"publication_id":2963}],"identifier":784,"description":"VOUnits is a recommended syntax for writing the string representation of unit labels. In addition, it describes a set of recognised and deprecated units, which is as far as possible consistent with other relevant standards (BIPM, ISO/IEC and the IAU). The intention is that units written to conform to this specification will likely also be parsable by other well-known parsers. To this end, we include machine-readable grammars for other units syntaxes.","abbreviation":"VOUnits","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOUnitsNext","name":"VOUnits Next Steps (Wiki)","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-001204","bsg-s001204"],"name":"FAIRsharing record for: Units in the Virtual Observatory","abbreviation":"VOUnits","url":"https://fairsharing.org/10.25504/FAIRsharing.ZZZvAw","doi":"10.25504/FAIRsharing.ZZZvAw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOUnits is a recommended syntax for writing the string representation of unit labels. In addition, it describes a set of recognised and deprecated units, which is as far as possible consistent with other relevant standards (BIPM, ISO/IEC and the IAU). The intention is that units written to conform to this specification will likely also be parsable by other well-known parsers. To this end, we include machine-readable grammars for other units syntaxes.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11483}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":["Unit"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2963,"pubmed_id":null,"title":"Units in the VO Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.0523D","authors":"Derriere, Sebastien; Gray, Norman; Demleitner, Markus; Louys, Mireille; Ochsenbein, Francois","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.142Z","updated_at":"2021-09-30T08:28:05.142Z"}],"licence_links":[],"grants":[{"id":6184,"fairsharing_record_id":784,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:51.642Z","updated_at":"2021-09-30T09:27:51.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6185,"fairsharing_record_id":784,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:27:51.668Z","updated_at":"2021-09-30T09:27:51.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"785","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-14T17:03:57.331Z","metadata":{"doi":"10.25504/FAIRsharing.jpxsv1","name":"Microbial Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"shuichi.kawashima@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MPO","citations":[],"identifier":785,"description":"An ontology for describing microbial phenotypes","abbreviation":"MPO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MPO","name":"MPO","portal":"BioPortal"}]},"legacy_ids":["bsg-000904","bsg-s000904"],"name":"FAIRsharing record for: Microbial Phenotype Ontology","abbreviation":"MPO","url":"https://fairsharing.org/10.25504/FAIRsharing.jpxsv1","doi":"10.25504/FAIRsharing.jpxsv1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing microbial phenotypes","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Microbiology"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"787","type":"fairsharing_records","attributes":{"created_at":"2020-04-27T13:50:43.000Z","updated_at":"2022-07-20T11:19:05.382Z","metadata":{"doi":"10.25504/FAIRsharing.eff3b2","name":"Global Genome Biodiversity Network Data Standard","status":"ready","contacts":[{"contact_name":"G. Droege","contact_email":"g.droege@bgbm.org"}],"homepage":"https://wiki.ggbn.org/ggbn/GGBN_Data_Standard","citations":[{"doi":"10.1093/database/baw125","pubmed_id":27694206,"publication_id":2904}],"identifier":787,"description":"The GGBN Data Standard is a set of terms and controlled vocabularies designed to represent sample facts. It does not cover e.g., scientific name, geography, or physiological facts. This allows combining the GGBN Data Standard with other complementary standards, such as DwC, ABCD or MIxS. Potentially, the standard can be used not only for non-human genomic samples but also human samples. It builds upon existing standards commonly used within the communities extending them with the capability to exchange data on tissue, environmental and DNA sample as well as sequences. The GGBN Data Standard is intended to be used with ABCD or Darwin Core and is not a stand-alone solution. It is intended to replace the DNA extension for Access to Biological Collection Data (ABCDDNA), however that specification has not been formally deprecated.","abbreviation":"GGBN","support_links":[{"url":"https://www.tdwg.org/standards/ggbn/","name":"TDWG GGBN Page","type":"Help documentation"},{"url":"https://terms.tdwg.org/wiki/GGBN_Data_Standard","name":"GGBN: Discussions and Updates","type":"Help documentation"},{"url":"https://wiki.ggbn.org/ggbn/Mandatory_and_recommended_fields_for_sharing_data_with_GGBN","name":"Mandatory and Recommended Fields","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001472","bsg-s001472"],"name":"FAIRsharing record for: Global Genome Biodiversity Network Data Standard","abbreviation":"GGBN","url":"https://fairsharing.org/10.25504/FAIRsharing.eff3b2","doi":"10.25504/FAIRsharing.eff3b2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GGBN Data Standard is a set of terms and controlled vocabularies designed to represent sample facts. It does not cover e.g., scientific name, geography, or physiological facts. This allows combining the GGBN Data Standard with other complementary standards, such as DwC, ABCD or MIxS. Potentially, the standard can be used not only for non-human genomic samples but also human samples. It builds upon existing standards commonly used within the communities extending them with the capability to exchange data on tissue, environmental and DNA sample as well as sequences. The GGBN Data Standard is intended to be used with ABCD or Darwin Core and is not a stand-alone solution. It is intended to replace the DNA extension for Access to Biological Collection Data (ABCDDNA), however that specification has not been formally deprecated.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12284},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12289},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12558},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14018},{"linking_record_name":"Biological Collection Access Service","linking_record_id":4209,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14915},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16034}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Biodiversity"],"domains":["Biological sample annotation","Biological sample","Genome","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2904,"pubmed_id":27694206,"title":"The Global Genome Biodiversity Network (GGBN) Data Standard specification.","year":2016,"url":"http://doi.org/10.1093/database/baw125","authors":"Droege G,Barker K,Seberg O,Coddington J,Benson E,Berendsohn WG,Bunk B,Butler C,Cawsey EM,Deck J,Doring M,Flemons P,Gemeinholzer B,Guntsch A,Hollowell T,Kelbert P,Kostadinov I,Kottmann R,Lawlor RT,Lyal C,Mackenzie-Dodds J,Meyer C,Mulcahy D,Nussbeck SY,O'Tuama E,Orrell T,Petersen G,Robertson T,Sohngen C,Whitacre J,Wieczorek J,Yilmaz P,Zetzsche H,Zhang Y,Zhou X","journal":"Database (Oxford)","doi":"10.1093/database/baw125","created_at":"2021-09-30T08:27:57.599Z","updated_at":"2021-09-30T08:27:57.599Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":775,"relation":"undefined"}],"grants":[{"id":8804,"fairsharing_record_id":787,"organisation_id":302,"relation":"associated_with","created_at":"2022-02-10T10:53:49.102Z","updated_at":"2022-02-10T10:53:49.102Z","grant_id":null,"is_lead":false,"saved_state":{"id":302,"name":"Botanic Garden and Botanical Museum Berlin-Dahlem (BGBM), Germany","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":6186,"fairsharing_record_id":787,"organisation_id":1172,"relation":"maintains","created_at":"2021-09-30T09:27:51.697Z","updated_at":"2021-09-30T09:27:51.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":1172,"name":"Global Genome Biodiversity Network (GGBN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"788","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-14T17:18:49.654Z","metadata":{"doi":"10.25504/FAIRsharing.4yrcbc","name":"FISH Archaeological Sciences Thesaurus","status":"ready","contacts":[{"contact_name":"Michelle","contact_email":"futo@stanford.edu"}],"homepage":"http://heritagedata.org/live/schemes/560.html","citations":[],"identifier":788,"description":"Terminology used for recording the techniques, recovery methods and materials associated with archaeological sciences. Maintained by Historic England on behalf of the FISH Terminology Working Group.","abbreviation":"FISH-AST","support_links":[],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FISH-AST","name":"FISH-AST","portal":"BioPortal"}]},"legacy_ids":["bsg-000906","bsg-s000906"],"name":"FAIRsharing record for: FISH Archaeological Sciences Thesaurus","abbreviation":"FISH-AST","url":"https://fairsharing.org/10.25504/FAIRsharing.4yrcbc","doi":"10.25504/FAIRsharing.4yrcbc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology used for recording the techniques, recovery methods and materials associated with archaeological sciences. Maintained by Historic England on behalf of the FISH Terminology Working Group.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Archaeology","Mineralogy"],"domains":["Microscopy"],"taxonomies":["All"],"user_defined_tags":["Soil pH"],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":3125,"relation":"applies_to_content"}],"grants":[{"id":10412,"fairsharing_record_id":788,"organisation_id":1251,"relation":"maintains","created_at":"2023-03-14T17:13:26.035Z","updated_at":"2023-03-14T17:15:15.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":1251,"name":"Historic England, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"789","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T13:18:59.000Z","updated_at":"2022-07-20T11:16:10.366Z","metadata":{"doi":"10.25504/FAIRsharing.XuvIC0","name":"Open Provenance Model for Workflows Ontology","status":"ready","contacts":[{"contact_name":"Daniel Garijo","contact_email":"dgarijo@isi.edu"}],"homepage":"https://www.opmw.org/","identifier":789,"description":"OPMW is an ontology for describing workflows based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). Since the publication of the PROV-O standard, the ontology also extends the W3C recommendation. The OPMW profile was originally created as an extension of OPM to represent abstract workflows in addition to workflow execution traces. This requirement was motivated by the goal of publishing workflows of scientific articles.","abbreviation":"OPMW-PROV","support_links":[{"url":"gil@isi.edu","name":"Yolanda Gil","type":"Support email"},{"url":"https://www.opmw.org/model/OPMW/","name":"Specification","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001435","bsg-s001435"],"name":"FAIRsharing record for: Open Provenance Model for Workflows Ontology","abbreviation":"OPMW-PROV","url":"https://fairsharing.org/10.25504/FAIRsharing.XuvIC0","doi":"10.25504/FAIRsharing.XuvIC0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OPMW is an ontology for describing workflows based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). Since the publication of the PROV-O standard, the ontology also extends the W3C recommendation. The OPMW profile was originally created as an extension of OPM to represent abstract workflows in addition to workflow execution traces. This requirement was motivated by the goal of publishing workflows of scientific articles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6187,"fairsharing_record_id":789,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:27:51.736Z","updated_at":"2021-09-30T09:27:51.736Z","grant_id":null,"is_lead":true,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"802","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2023-03-14T16:38:50.245Z","metadata":{"doi":"10.25504/FAIRsharing.a4ww64","name":"The Ecosystem Ontology","status":"ready","contacts":[{"contact_name":"Bryce Mecum","contact_email":"mecum@nceas.ucsb.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/ECSO","citations":[],"identifier":802,"description":"DataONE ontology of Carbon Flux measurements for MsTMIP and LTER Use Cases","abbreviation":"ECSO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ECSO","name":"ECSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000924","bsg-s000924"],"name":"FAIRsharing record for: The Ecosystem Ontology","abbreviation":"ECSO","url":"https://fairsharing.org/10.25504/FAIRsharing.a4ww64","doi":"10.25504/FAIRsharing.a4ww64","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DataONE ontology of Carbon Flux measurements for MsTMIP and LTER Use Cases","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10408,"fairsharing_record_id":802,"organisation_id":3036,"relation":"undefined","created_at":"2023-03-14T16:38:39.594Z","updated_at":"2023-03-14T16:38:39.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":3036,"name":"University of California Santa Barbara, CA","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"804","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-02-21T10:35:49.537Z","metadata":{"doi":"10.25504/FAIRsharing.c6vhm3","name":"Human Developmental Stages Ontology","status":"ready","contacts":[{"contact_name":"Frédéric Bastian","contact_email":"frederic.bastian@unil.ch","contact_orcid":null}],"homepage":"https://obofoundry.org/ontology/hsapdv.html","citations":[],"identifier":804,"description":"Life cycle stages for Human. HsapDv was developed by the Bgee group with assistance from the core Uberon developers and the Human developmental anatomy ontology (EHDAA2) developers. Currently it includes both embryonic (Carnegie) stages and adult stages.","abbreviation":"HSAPDV","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies/wiki/HsapDv","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HSAPDV","name":"HSAPDV in BioPortal","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/hsapdv.html","name":"hsapdv in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001074","bsg-s001074"],"name":"FAIRsharing record for: Human Developmental Stages Ontology","abbreviation":"HSAPDV","url":"https://fairsharing.org/10.25504/FAIRsharing.c6vhm3","doi":"10.25504/FAIRsharing.c6vhm3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Human. HsapDv was developed by the Bgee group with assistance from the core Uberon developers and the Human developmental anatomy ontology (EHDAA2) developers. Currently it includes both embryonic (Carnegie) stages and adult stages.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":3099,"relation":"applies_to_content"}],"grants":[{"id":10370,"fairsharing_record_id":804,"organisation_id":3597,"relation":"maintains","created_at":"2023-02-21T10:14:15.514Z","updated_at":"2023-02-21T10:14:15.514Z","grant_id":null,"is_lead":true,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"805","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2021-12-08T11:27:06.820Z","metadata":{"doi":"10.25504/FAIRsharing.rnckxp","name":"Biodiversity Ontology","status":"deprecated","contacts":[{"contact_name":"Franco","contact_email":"francolamping@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/BOF","citations":[],"identifier":805,"description":"An ontology of biodiversity of INPA, available via BioPortal.","abbreviation":"BOF","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BOF","name":"BOF","portal":"BioPortal"}],"deprecation_date":"2021-12-07","deprecation_reason":"This resource has not been updated in BioPortal, and no homepage for the resource can be found. Please let us know if you have any information about this resource."},"legacy_ids":["bsg-001076","bsg-s001076"],"name":"FAIRsharing record for: Biodiversity Ontology","abbreviation":"BOF","url":"https://fairsharing.org/10.25504/FAIRsharing.rnckxp","doi":"10.25504/FAIRsharing.rnckxp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of biodiversity of INPA, available via BioPortal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"807","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-03-13T09:23:11.748Z","metadata":{"doi":"10.25504/FAIRsharing.szexty","name":"insectH","status":"ready","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/INSECTH","citations":[],"identifier":807,"description":"NeuroMorpho.Org insect brain regions ontology is compiled to create data annotation standard for depositing insect data. Currently at v6.2, NeuroMorpho.Org hosts over 17k neuronal reconstructions mostly from the fly. The insect ontology follows the standard nomenclature of the insect brain (Ito et al., 2013) and the virtualfly.org.","abbreviation":"INSECTH","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/INSECTH","name":"INSECTH","portal":"BioPortal"}]},"legacy_ids":["bsg-001079","bsg-s001079"],"name":"FAIRsharing record for: insectH","abbreviation":"INSECTH","url":"https://fairsharing.org/10.25504/FAIRsharing.szexty","doi":"10.25504/FAIRsharing.szexty","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeuroMorpho.Org insect brain regions ontology is compiled to create data annotation standard for depositing insect data. Currently at v6.2, NeuroMorpho.Org hosts over 17k neuronal reconstructions mostly from the fly. The insect ontology follows the standard nomenclature of the insect brain (Ito et al., 2013) and the virtualfly.org.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Entomology"],"domains":[],"taxonomies":["All","Insecta"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"808","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-03-16T18:12:22.719Z","metadata":{"doi":"10.25504/FAIRsharing.k008w7","name":"Human Dermatological Disease Ontology","status":"ready","contacts":[{"contact_name":"Paul Schofield","contact_email":"pns12@cam.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/DERMO","citations":[{"doi":"10.1186/s13326-016-0085-x","pubmed_id":27296450,"publication_id":3798}],"identifier":808,"description":"DermO is an Ontology of cutaneous disease, constructed manually by domain experts. With more than 3000 terms, DermO represents the most comprehensive formal dermatological disease terminology available. The disease entities are categorized in 20 upper level terms, which use a variety of features such as anatomical location, heritability, affected cell or tissue type, or etiology, as the features for classification, in line with professional practice and nosology in dermatology.","abbreviation":"DERMO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DERMO","name":"DERMO","portal":"BioPortal"}]},"legacy_ids":["bsg-001082","bsg-s001082"],"name":"FAIRsharing record for: Human Dermatological Disease Ontology","abbreviation":"DERMO","url":"https://fairsharing.org/10.25504/FAIRsharing.k008w7","doi":"10.25504/FAIRsharing.k008w7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DermO is an Ontology of cutaneous disease, constructed manually by domain experts. With more than 3000 terms, DermO represents the most comprehensive formal dermatological disease terminology available. The disease entities are categorized in 20 upper level terms, which use a variety of features such as anatomical location, heritability, affected cell or tissue type, or etiology, as the features for classification, in line with professional practice and nosology in dermatology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Dermatology"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[{"id":3798,"pubmed_id":27296450,"title":"DermO; an ontology for the description of dermatologic disease.","year":2016,"url":"https://doi.org/10.1186/s13326-016-0085-x","authors":"Fisher HM, Hoehndorf R, Bazelato BS, Dadras SS, King LE Jr, Gkoutos GV, Sundberg JP, Schofield PN","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-016-0085-x","created_at":"2023-03-16T06:57:32.387Z","updated_at":"2023-03-16T06:57:32.387Z"}],"licence_links":[],"grants":[{"id":10419,"fairsharing_record_id":808,"organisation_id":349,"relation":"undefined","created_at":"2023-03-16T06:56:29.916Z","updated_at":"2023-03-16T06:56:29.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":349,"name":"Cambridge Institute for Medical Research, University of Cambridge","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"810","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:54:05.022Z","metadata":{"doi":"10.25504/FAIRsharing.6xfgaq","name":"VIVO Ontology","status":"ready","contacts":[{"contact_name":"Mike Conlon","contact_email":"mconlon@ufl.edu"}],"homepage":"https://wiki.lyrasis.org/display/VIVODOC111x/Ontology+Reference","identifier":810,"description":"The VIVO Ontology provides a set of concepts to represent researchers and the full context in which they work. It is used as part of the VIVO project, which uses a collection of ontologies to represent scholarship.","abbreviation":"VIVO","support_links":[{"url":"info@lyrasis.org","name":"General Information Contact","type":"Support email"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/VIVO+Ontology+Domain+Definition","name":"Ontology Domain Information","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/Source+ontologies+for+VIVO","name":"Source Ontologies","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/VIVO+Classes","name":"About VIVO Classes","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/VIVO+Object+Properties","name":"About VIVO Object Properties","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VIVO","name":"VIVO","portal":"BioPortal"}]},"legacy_ids":["bsg-000921","bsg-s000921"],"name":"FAIRsharing record for: VIVO Ontology","abbreviation":"VIVO","url":"https://fairsharing.org/10.25504/FAIRsharing.6xfgaq","doi":"10.25504/FAIRsharing.6xfgaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VIVO Ontology provides a set of concepts to represent researchers and the full context in which they work. It is used as part of the VIVO project, which uses a collection of ontologies to represent scholarship.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science"],"domains":["Resource metadata","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":508,"relation":"undefined"}],"grants":[{"id":6198,"fairsharing_record_id":810,"organisation_id":3194,"relation":"maintains","created_at":"2021-09-30T09:27:52.166Z","updated_at":"2021-09-30T09:27:52.166Z","grant_id":null,"is_lead":true,"saved_state":{"id":3194,"name":"VIVO Ontology Interest Group, VIVO Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6199,"fairsharing_record_id":810,"organisation_id":1738,"relation":"maintains","created_at":"2021-09-30T09:27:52.207Z","updated_at":"2021-09-30T09:27:52.207Z","grant_id":null,"is_lead":false,"saved_state":{"id":1738,"name":"Lyrasis, Atlanta, GA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"781","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:51:42.093Z","metadata":{"doi":"10.25504/FAIRsharing.rf4pmz","name":"Ontology for Systems Chemical Biology and Chemogenomics","status":"deprecated","contacts":[{"contact_name":"Bin Chen","contact_email":"binchen@indiana.edu"}],"homepage":"http://cheminfov.informatics.indiana.edu:8080/c2b2r/","citations":[],"identifier":781,"description":"Chem2Bio2RDF has been created by aggregating data from multiple chemogenomics repositories and is cross-linked into Bio2RDF and LODD. There is also a linked-path generation tool to facilitate SPARQL query generation, and have created extended SPARQL functions to address specific chemical/biological search needs. Chem2Bio2RDF can be used to investigate polypharmacology, identification of potential multiple pathway inhibitors, and the association of pathways with adverse drug reactions. ","abbreviation":"Chem2Bio2RDF","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEMBIO","name":"CHEMBIO","portal":"BioPortal"}],"deprecation_date":"2022-01-13","deprecation_reason":"Most of the resource links, including those offering download of the terminology, are no longer valid, and the listed contact email address no longer exists."},"legacy_ids":["bsg-002721","bsg-s002721"],"name":"FAIRsharing record for: Ontology for Systems Chemical Biology and Chemogenomics","abbreviation":"Chem2Bio2RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.rf4pmz","doi":"10.25504/FAIRsharing.rf4pmz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chem2Bio2RDF has been created by aggregating data from multiple chemogenomics repositories and is cross-linked into Bio2RDF and LODD. There is also a linked-path generation tool to facilitate SPARQL query generation, and have created extended SPARQL functions to address specific chemical/biological search needs. Chem2Bio2RDF can be used to investigate polypharmacology, identification of potential multiple pathway inhibitors, and the association of pathways with adverse drug reactions. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Chemogenomics"],"countries":["United States"],"publications":[{"id":910,"pubmed_id":20478034,"title":"Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-255","authors":"Chen B,Dong X,Jiao D,Wang H,Zhu Q,Ding Y,Wild DJ","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-255","created_at":"2021-09-30T08:24:00.509Z","updated_at":"2021-09-30T08:24:00.509Z"}],"licence_links":[],"grants":[{"id":6175,"fairsharing_record_id":781,"organisation_id":1327,"relation":"maintains","created_at":"2021-09-30T09:27:51.335Z","updated_at":"2021-09-30T09:27:51.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"782","type":"fairsharing_records","attributes":{"created_at":"2020-05-26T14:46:03.000Z","updated_at":"2023-06-20T10:03:47.565Z","metadata":{"doi":"10.25504/FAIRsharing.4ed3fb","name":"Joint Evaluated Fission and Fusion Nuclear Data Library","status":"ready","contacts":[{"contact_name":"Franco Michel-Sendis","contact_email":"franco.michel-sendis@oecd.org"}],"homepage":"https://www.oecd-nea.org/dbdata/jeff/","citations":[],"identifier":782,"description":"The JEFF suite of nuclear data libraries contains a number of different data types, including neutron and proton interaction data, radioactive decay data, fission yields data, and thermal scattering law data.","abbreviation":"JEFF","support_links":[{"url":"https://www.oecd-nea.org/dbdata/jeff/feedback/feedback.html","name":"Feedback","type":"Help documentation"},{"url":"http://www.oecd-nea.org/dbdata/nds_jefreports/","name":"JEFF reports","type":"Help documentation"},{"url":"http://www.oecd-nea.org/dbdata/jeff/jeffdoc.html","name":"JEFF documents","type":"Help documentation"}],"year_creation":1982,"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010753","name":"re3data:r3d100010753","portal":"re3data"}]},"legacy_ids":["bsg-001485","bsg-s001485"],"name":"FAIRsharing record for: Joint Evaluated Fission and Fusion Nuclear Data Library","abbreviation":"JEFF","url":"https://fairsharing.org/10.25504/FAIRsharing.4ed3fb","doi":"10.25504/FAIRsharing.4ed3fb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JEFF suite of nuclear data libraries contains a number of different data types, including neutron and proton interaction data, radioactive decay data, fission yields data, and thermal scattering law data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Virology","Physics","Epidemiology"],"domains":["Proton"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19","Neutron Science","Nuclear data"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":6176,"fairsharing_record_id":782,"organisation_id":2201,"relation":"maintains","created_at":"2021-09-30T09:27:51.368Z","updated_at":"2021-09-30T09:27:51.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":2201,"name":"Nuclear Energy Agency, Paris, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"783","type":"fairsharing_records","attributes":{"created_at":"2015-07-20T11:00:38.000Z","updated_at":"2022-07-20T12:21:53.914Z","metadata":{"doi":"10.25504/FAIRsharing.zgqy0v","name":"Case Reports","status":"ready","contacts":[{"contact_name":"David Riley","contact_email":"dsrileymd@me.com"}],"homepage":"https://www.care-statement.org/","identifier":783,"description":"The CARE guidelines provide a framework that supports transparency and accuracy in the publication of case reports and the reporting of information from patient encounters. The publication of case reports following the CARE guidelines will provide practice-based data on interventions and outcomes that can be compared across therapeutic interventions and inform clinical practice guidelines.","abbreviation":"CARE","support_links":[{"url":"https://www.care-statement.org/case-reports","type":"Help documentation"},{"url":"http://www.care-statement.org/resources/checklist","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000601","bsg-s000601"],"name":"FAIRsharing record for: Case Reports","abbreviation":"CARE","url":"https://fairsharing.org/10.25504/FAIRsharing.zgqy0v","doi":"10.25504/FAIRsharing.zgqy0v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CARE guidelines provide a framework that supports transparency and accuracy in the publication of case reports and the reporting of information from patient encounters. The publication of case reports following the CARE guidelines will provide practice-based data on interventions and outcomes that can be compared across therapeutic interventions and inform clinical practice guidelines.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12038},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12474}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":787,"pubmed_id":24035173,"title":"The CARE guidelines: consensus-based clinical case report guideline development.","year":2013,"url":"http://doi.org/10.1016/j.jclinepi.2013.08.003","authors":"Gagnier JJ,Kienle G,Altman DG,Moher D,Sox H,Riley D","journal":"J Clin Epidemiol","doi":"10.1016/j.jclinepi.2013.08.003","created_at":"2021-09-30T08:23:46.753Z","updated_at":"2021-09-30T08:23:46.753Z"},{"id":2395,"pubmed_id":28529185,"title":"CARE guidelines for case reports: explanation and elaboration document.","year":2017,"url":"http://doi.org/S0895-4356(17)30037-9","authors":"Riley DS,Barber MS,Kienle GS,Aronson JK,von Schoen-Angerer T,Tugwell P,Kiene H,Helfand M,Altman DG,Sox H,Werthmann PG,Moher D,Rison RA,Shamseer L,Koch CA,Sun GH,Hanaway P,Sudak NL,Kaszkin-Bettag M,Carpenter JE,Gagnier JJ","journal":"J Clin Epidemiol","doi":"S0895-4356(17)30037-9","created_at":"2021-09-30T08:26:54.135Z","updated_at":"2021-09-30T08:26:54.135Z"}],"licence_links":[],"grants":[{"id":6179,"fairsharing_record_id":783,"organisation_id":3095,"relation":"funds","created_at":"2021-09-30T09:27:51.464Z","updated_at":"2021-09-30T09:27:51.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6181,"fairsharing_record_id":783,"organisation_id":754,"relation":"maintains","created_at":"2021-09-30T09:27:51.548Z","updated_at":"2021-09-30T09:27:51.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":754,"name":"Deutsches Arzteblatt, Cologne, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6177,"fairsharing_record_id":783,"organisation_id":732,"relation":"funds","created_at":"2021-09-30T09:27:51.392Z","updated_at":"2021-09-30T09:27:51.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":732,"name":"Department of Orthopedic Surgery, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6182,"fairsharing_record_id":783,"organisation_id":2280,"relation":"maintains","created_at":"2021-09-30T09:27:51.586Z","updated_at":"2021-09-30T09:27:51.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Health Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6183,"fairsharing_record_id":783,"organisation_id":1462,"relation":"maintains","created_at":"2021-09-30T09:27:51.618Z","updated_at":"2021-09-30T09:27:51.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":1462,"name":"Integrative Medicine Institute (IMI), Portland, OR, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6178,"fairsharing_record_id":783,"organisation_id":1163,"relation":"funds","created_at":"2021-09-30T09:27:51.423Z","updated_at":"2021-09-30T09:30:09.496Z","grant_id":577,"is_lead":false,"saved_state":{"id":1163,"name":"Global Advances in Health and Medicine","grant":"201210-3","types":["Publisher"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1106","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-28T06:40:54.418Z","metadata":{"doi":"10.25504/FAIRsharing.ckrs1g","name":"Physician Data Query","status":"ready","contacts":[{"contact_name":"Volker Englisch","contact_email":"volker@mail.nih.gov"}],"homepage":"https://www.cancer.gov/publications/pdq","identifier":1106,"description":"Physician Data Query (PDQ) Terminology is part of NCI's comprehensive cancer information database, which contains expert summaries on a wide range of cancer topics, a listing of some 30,000 cancer clinical trials from around the world, a directory of genetics services professionals, the NCI Dictionary of Cancer Terms, and the NCI Drug Dictionary.","abbreviation":"PDQ","support_links":[{"url":"https://en.wikipedia.org/wiki/Physician_Data_Query","name":"Wikipedia","type":"Wikipedia"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDQ","name":"PDQ","portal":"BioPortal"}]},"legacy_ids":["bsg-002589","bsg-s002589"],"name":"FAIRsharing record for: Physician Data Query","abbreviation":"PDQ","url":"https://fairsharing.org/10.25504/FAIRsharing.ckrs1g","doi":"10.25504/FAIRsharing.ckrs1g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Physician Data Query (PDQ) Terminology is part of NCI's comprehensive cancer information database, which contains expert summaries on a wide range of cancer topics, a listing of some 30,000 cancer clinical trials from around the world, a directory of genetics services professionals, the NCI Dictionary of Cancer Terms, and the NCI Drug Dictionary.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12447}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Medicine","Genetics","Health Science","Life Science","Pharmacogenomics","Biomedical Science"],"domains":["Drug","Cancer","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2267,"pubmed_id":null,"title":"PDQ (Physician Data Query) (February 2017)","year":2017,"url":"http://doi.org/10.1093/jnci/djx022","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djx022","created_at":"2021-09-30T08:26:36.105Z","updated_at":"2021-09-30T11:28:35.584Z"},{"id":2348,"pubmed_id":3079208,"title":"The Physician Data Query (PDQ) cancer information system.","year":1986,"url":"http://doi.org/10.1080/08858198609527818","authors":"Hubbard SM,Martin NB,Blankenbaker LW,Esterhay RJ Jr,Masys DR,Tingley DE,Stram MC,DeVita VT Jr","journal":"J Cancer Educ","doi":"10.1080/08858198609527818","created_at":"2021-09-30T08:26:48.543Z","updated_at":"2021-09-30T08:26:48.543Z"},{"id":2349,"pubmed_id":1804524,"title":"The PDQ (Physician Data Query), the cancer database, in oncological clinical practice.","year":1991,"url":"http://doi.org/10.1016/0305-7372(91)90010-w","authors":"Fare C,Ugolini D","journal":"Cancer Treat Rev","doi":"10.1016/0305-7372(91)90010-w","created_at":"2021-09-30T08:26:48.709Z","updated_at":"2021-09-30T08:26:48.709Z"},{"id":2350,"pubmed_id":22271770,"title":"Physician data query (PDQ(R)) update (February 2012)","year":2012,"url":"http://doi.org/10.1093/jnci/djs025","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djs025","created_at":"2021-09-30T08:26:48.816Z","updated_at":"2021-09-30T11:28:34.827Z"},{"id":2351,"pubmed_id":22517987,"title":"Physician Data Query (PDQ(R)) update (May 2012 )","year":2012,"url":"http://doi.org/10.1093/jnci/djs231","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djs231","created_at":"2021-09-30T08:26:48.975Z","updated_at":"2021-09-30T11:28:34.976Z"},{"id":2374,"pubmed_id":null,"title":"PDQ (Physician Data Query) (January 2017)","year":2017,"url":"http://doi.org/10.1093/jnci/djw336","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djw336","created_at":"2021-09-30T08:26:51.799Z","updated_at":"2021-09-30T11:28:35.343Z"},{"id":2376,"pubmed_id":null,"title":"PDQ (Physician Data Query) (March 2017)","year":2017,"url":"http://doi.org/10.1093/jnci/djx047","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djx047","created_at":"2021-09-30T08:26:52.015Z","updated_at":"2021-09-30T11:28:35.492Z"},{"id":2379,"pubmed_id":23996204,"title":"NCI's Physician Data Query (PDQ(R)) cancer information summaries: history, editorial processes, influence, and reach.","year":2013,"url":"http://doi.org/10.1007/s13187-013-0536-3","authors":"Manrow RE,Beckwith M,Johnson LE","journal":"J Cancer Educ","doi":"10.1007/s13187-013-0536-3","created_at":"2021-09-30T08:26:52.352Z","updated_at":"2021-09-30T08:26:52.352Z"}],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":29,"relation":"undefined"}],"grants":[{"id":6788,"fairsharing_record_id":1106,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:14.040Z","updated_at":"2021-09-30T09:28:14.040Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6787,"fairsharing_record_id":1106,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:28:14.017Z","updated_at":"2021-09-30T09:28:14.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1107","type":"fairsharing_records","attributes":{"created_at":"2017-04-12T21:10:57.000Z","updated_at":"2022-07-20T12:40:34.305Z","metadata":{"doi":"10.25504/FAIRsharing.37nbtc","name":"International HLA and Immunogenetics Workshop XML","status":"ready","contacts":[{"contact_name":"Steven J. Mack","contact_email":"sjmack@chori.org","contact_orcid":"0000-0001-9820-9547"}],"homepage":"https://github.com/IHIW/bioinformatics/tree/master/typing_report_formats/IHIW_XML","identifier":1107,"description":"International HLA and Immunogenetics Workshop XML (IHIW XML) is intended as a potentially general-purpose XML format for exchanging HLA genotyping data (HLA genotypes and associated consensus sequences) and associated meta-data generated using Next Generation Sequencing (NGS) methods. This format supports NGS based genotyping methods, phased and unphased consensus sequence data, registered methodologies, reference allele data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","abbreviation":"IHIW XML","year_creation":2016},"legacy_ids":["bsg-000700","bsg-s000700"],"name":"FAIRsharing record for: International HLA and Immunogenetics Workshop XML","abbreviation":"IHIW XML","url":"https://fairsharing.org/10.25504/FAIRsharing.37nbtc","doi":"10.25504/FAIRsharing.37nbtc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: International HLA and Immunogenetics Workshop XML (IHIW XML) is intended as a potentially general-purpose XML format for exchanging HLA genotyping data (HLA genotypes and associated consensus sequences) and associated meta-data generated using Next Generation Sequencing (NGS) methods. This format supports NGS based genotyping methods, phased and unphased consensus sequence data, registered methodologies, reference allele data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics"],"domains":["Next generation DNA sequencing","Human leukocyte antigen complex"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Immunogenomics"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6789,"fairsharing_record_id":1107,"organisation_id":1493,"relation":"maintains","created_at":"2021-09-30T09:28:14.066Z","updated_at":"2021-09-30T09:28:14.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":1493,"name":"International HLA and Immunogenetics Workshop","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6790,"fairsharing_record_id":1107,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:14.104Z","updated_at":"2021-09-30T09:30:19.151Z","grant_id":654,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI128775","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1108","type":"fairsharing_records","attributes":{"created_at":"2018-07-18T15:44:58.000Z","updated_at":"2024-04-24T08:57:45.663Z","metadata":{"doi":"10.25504/FAIRsharing.pDq8lX","name":"Hierarchical Editing Language for Macromolecules","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@openHELM.org"}],"homepage":"https://www.pistoiaalliance.org/helm-project/","citations":[],"identifier":1108,"description":"HELM (Hierarchical Editing Language for Macromolecules) enables the representation of a wide range of biomolecules (e.g. proteins, nucleotides, antibody drug conjugates) whose size and complexity render existing small-molecule and sequence-based informatics methodologies impractical or unusable. HELM solves this problem through a hierarchical notation that represents complex macromolecules as polymeric structures with support for unnatural components (e.g. unnatural amino acids) and chemical modifications.","abbreviation":"HELM","support_links":[{"url":"https://pistoiaalliance.atlassian.net/wiki/spaces/HELM/overview","name":"HELM Wiki","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Hierarchical_editing_language_for_macromolecules","name":"https://en.wikipedia.org/wiki/Hierarchical_editing_language_for_macromolecules","type":"Wikipedia"}],"year_creation":2013,"associated_tools":[{"url":"https://github.com/PistoiaHELM/HELMWebEditor","name":"HELM Web Editor"},{"url":"https://github.com/PistoiaHELM/HELMAntibodyEditor2","name":"HELM Antibody Editor"},{"url":"https://github.com/PistoiaHELM/HELM2NotationToolkit","name":"HELM2 Notation Toolkit"}]},"legacy_ids":["bsg-001222","bsg-s001222"],"name":"FAIRsharing record for: Hierarchical Editing Language for Macromolecules","abbreviation":"HELM","url":"https://fairsharing.org/10.25504/FAIRsharing.pDq8lX","doi":"10.25504/FAIRsharing.pDq8lX","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HELM (Hierarchical Editing Language for Macromolecules) enables the representation of a wide range of biomolecules (e.g. proteins, nucleotides, antibody drug conjugates) whose size and complexity render existing small-molecule and sequence-based informatics methodologies impractical or unusable. HELM solves this problem through a hierarchical notation that represents complex macromolecules as polymeric structures with support for unnatural components (e.g. unnatural amino acids) and chemical modifications.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11739}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Molecular biology","Cheminformatics","Biochemistry","Bioinformatics","Life Science"],"domains":["Molecular structure","Chemical structure","Molecular entity","Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Denmark","France","Germany","Hungary","Switzerland","United Kingdom","United States"],"publications":[{"id":2283,"pubmed_id":22947017,"title":"HELM: a hierarchical notation language for complex biomolecule structure representation.","year":2012,"url":"http://doi.org/10.1021/ci3001925","authors":"Zhang T,Li H,Xi H,Stanton RV,Rotstein SH","journal":"J Chem Inf Model","doi":"10.1021/ci3001925","created_at":"2021-09-30T08:26:38.161Z","updated_at":"2021-09-30T08:26:38.161Z"},{"id":2284,"pubmed_id":28471655,"title":"HELM Software for Biopolymers.","year":2017,"url":"http://doi.org/10.1021/acs.jcim.6b00442","authors":"Milton J,Zhang T,Bellamy C,Swayze E,Hart C,Weisser M,Hecht S,Rotstein S","journal":"J Chem Inf Model","doi":"10.1021/acs.jcim.6b00442","created_at":"2021-09-30T08:26:38.274Z","updated_at":"2021-09-30T08:26:38.274Z"}],"licence_links":[],"grants":[{"id":6791,"fairsharing_record_id":1108,"organisation_id":2327,"relation":"maintains","created_at":"2021-09-30T09:28:14.154Z","updated_at":"2024-04-24T08:39:03.404Z","grant_id":null,"is_lead":true,"saved_state":{"id":2327,"name":"Pistoia Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa3NFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--92389f1749ec62a8ac04d464969cb24642768f04/HELM_logo_small_rgb-300x120.png?disposition=inline","exhaustive_licences":false}},{"id":"1109","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:44.529Z","metadata":{"doi":"10.25504/FAIRsharing.7ky72t","name":"Natural Products Ontology","status":"deprecated","contacts":[{"contact_name":"Riza Theresa Batista-Navarro","contact_email":"batistar@cs.man.ac.uk","contact_orcid":"0000-0001-6693-7531"}],"homepage":"http://bioportal.bioontology.org/ontologies/3004","identifier":1109,"description":"An ontology for describing biological activities of natural products.","abbreviation":"NatPrO","deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002781","bsg-s002781"],"name":"FAIRsharing record for: Natural Products Ontology","abbreviation":"NatPrO","url":"https://fairsharing.org/10.25504/FAIRsharing.7ky72t","doi":"10.25504/FAIRsharing.7ky72t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing biological activities of natural products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6792,"fairsharing_record_id":1109,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:14.196Z","updated_at":"2021-09-30T09:28:14.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1110","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T14:21:48.000Z","updated_at":"2022-12-13T09:38:32.390Z","metadata":{"doi":"10.25504/FAIRsharing.daXv6l","name":"Astronomical Data Query Language","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/ADQL.html","citations":[],"identifier":1110,"description":"The Astronomical Data Query Language (ADQL) is the language used by the IVOA to represent astronomy queries posted to VO services. The IVOA has developed several standardized protocols to access astronomical data, e.g., Simple Image Access (SIA) protocol and Simple Spectral Access (SSA) protocol for image and spectral data respectively. These protocols might be satisfied using a single table query. However, different VO services have different needs in terms of query complexity and ADQL arises in this context. The ADQL specification makes no distinction between core and advanced or extended functionalities. Hence ADQL has been built according to a single Backus Naur Form (BNF) based language definition. Any service making use of ADQL would then define the level of compliancy to the language. This would allow the notion of core and extension to be service-driven and it would decouple the language from the service specifications. ADQL is based on the Structured Query Language (SQL), especially on SQL 92 1 2 3. . The VO has a number of tabular data sets and many of them are stored in relational databases, making SQL a convenient access means. A subset of the SQL grammar has been extended to support queries that are specific to astronomy. Similarly to SQL, the ADQL language definition is not semantically safe by design and therefore this specification defines syntactical correctness only. Type safety has been achieved as far as it can be done in SQL.","abbreviation":"ADQL","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/ADQL","name":"ADQL Wiki","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001152","bsg-s001152"],"name":"FAIRsharing record for: Astronomical Data Query Language","abbreviation":"ADQL","url":"https://fairsharing.org/10.25504/FAIRsharing.daXv6l","doi":"10.25504/FAIRsharing.daXv6l","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Astronomical Data Query Language (ADQL) is the language used by the IVOA to represent astronomy queries posted to VO services. The IVOA has developed several standardized protocols to access astronomical data, e.g., Simple Image Access (SIA) protocol and Simple Spectral Access (SSA) protocol for image and spectral data respectively. These protocols might be satisfied using a single table query. However, different VO services have different needs in terms of query complexity and ADQL arises in this context. The ADQL specification makes no distinction between core and advanced or extended functionalities. Hence ADQL has been built according to a single Backus Naur Form (BNF) based language definition. Any service making use of ADQL would then define the level of compliancy to the language. This would allow the notion of core and extension to be service-driven and it would decouple the language from the service specifications. ADQL is based on the Structured Query Language (SQL), especially on SQL 92 1 2 3. . The VO has a number of tabular data sets and many of them are stored in relational databases, making SQL a convenient access means. A subset of the SQL grammar has been extended to support queries that are specific to astronomy. Similarly to SQL, the ADQL language definition is not semantically safe by design and therefore this specification defines syntactical correctness only. Type safety has been achieved as far as it can be done in SQL.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11490}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2906,"pubmed_id":null,"title":"IVOA Astronomical Data Query Language Version 2.00","year":2008,"url":"http://dx.doi.org/10.5479/ADS/bib/2008ivoa.spec.1030O","authors":"Osuna, Pedro; Ortiz, Iñaki; Lusted, Jeff; Dowler, Pat; Szalay, Alexander; Shirasaki, Yuji; Nieto-Santisteban, Maria A.; Ohishi, Masatoshi; O'Mullane, William; VOQL-TEG Group; VOQL Working Group.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:57.841Z","updated_at":"2021-09-30T08:27:57.841Z"}],"licence_links":[],"grants":[{"id":6794,"fairsharing_record_id":1110,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:14.275Z","updated_at":"2021-09-30T09:28:14.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6793,"fairsharing_record_id":1110,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:14.238Z","updated_at":"2021-09-30T09:28:14.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1111","type":"fairsharing_records","attributes":{"created_at":"2020-09-17T15:09:58.000Z","updated_at":"2024-05-01T15:04:32.974Z","metadata":{"doi":"10.25504/FAIRsharing.wYScsE","name":"Minimum Information about Animal Toxicology Experiments","status":"ready","contacts":[{"contact_name":"Rance Nault","contact_email":"naultran@msu.edu","contact_orcid":"0000-0002-6822-4962"}],"homepage":"https://github.com/zacharewskilab/MIATE","citations":[],"identifier":1111,"description":"MIATE/invivo defines a minimum set of metadata requirements for an in vivo animal toxicology experiment and recommended ontologies. It is intended to standardize (meta)data collection for traditional in vivo toxicology study designs and promote the Findable, Accessible, Interoperable, Reusable (FAIR) principles for in vivo animal toxicology experiments. MIATE aims to be a community-driven set of minimal metadata requirements for animal toxicology experiments supported by a templates, protocols, and resources to enable collection of research data in a standardized manner. ","abbreviation":"MIATE","support_links":[{"url":"https://github.com/zacharewskilab/MIATE","name":"GitHub Repository","type":"Github"}],"year_creation":2020,"associated_tools":[{"url":"https://isa-tools.org/software-suite.html","name":"ISA Software Suite"}]},"legacy_ids":["bsg-001527","bsg-s001527"],"name":"FAIRsharing record for: Minimum Information about Animal Toxicology Experiments","abbreviation":"MIATE","url":"https://fairsharing.org/10.25504/FAIRsharing.wYScsE","doi":"10.25504/FAIRsharing.wYScsE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIATE/invivo defines a minimum set of metadata requirements for an in vivo animal toxicology experiment and recommended ontologies. It is intended to standardize (meta)data collection for traditional in vivo toxicology study designs and promote the Findable, Accessible, Interoperable, Reusable (FAIR) principles for in vivo animal toxicology experiments. MIATE aims to be a community-driven set of minimal metadata requirements for animal toxicology experiments supported by a templates, protocols, and resources to enable collection of research data in a standardized manner. ","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16652}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicology","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6796,"fairsharing_record_id":1111,"organisation_id":1830,"relation":"maintains","created_at":"2021-09-30T09:28:14.341Z","updated_at":"2021-09-30T09:28:14.341Z","grant_id":null,"is_lead":true,"saved_state":{"id":1830,"name":"Michigan State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6795,"fairsharing_record_id":1111,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:28:14.312Z","updated_at":"2021-09-30T09:29:24.476Z","grant_id":235,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","grant":"P42ES004911","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7895,"fairsharing_record_id":1111,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:29:31.699Z","updated_at":"2021-09-30T09:29:31.748Z","grant_id":285,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","grant":"P42ES023716","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8434,"fairsharing_record_id":1111,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:32:38.194Z","updated_at":"2021-09-30T09:32:38.246Z","grant_id":1711,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","grant":"P42ES007380","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1112","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T15:47:31.000Z","updated_at":"2023-03-22T14:44:05.247Z","metadata":{"doi":"10.25504/FAIRsharing.k3z4q9","name":"Common Information Model","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"es-doc-contact@list.woc.noaa.gov"}],"homepage":"https://www.earthsystemcog.org/projects/es-doc-models/cim","citations":[],"identifier":1112,"description":"This standard is used by the climate research community and others to describe the artefacts and processes they work with. This includes climate simulations, the specific model components used to run those simulations, the datasets generated by those components, the geographic grids upon which those components and data are mapped, the computing platforms used, and so on. A CIM document is an XML document and CIM is an evolving standard.","abbreviation":"CIM","deprecation_date":"2023-03-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n"},"legacy_ids":["bsg-000710","bsg-s000710"],"name":"FAIRsharing record for: Common Information Model","abbreviation":"CIM","url":"https://fairsharing.org/10.25504/FAIRsharing.k3z4q9","doi":"10.25504/FAIRsharing.k3z4q9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard is used by the climate research community and others to describe the artefacts and processes they work with. This includes climate simulations, the specific model components used to run those simulations, the datasets generated by those components, the geographic grids upon which those components and data are mapped, the computing platforms used, and so on. A CIM document is an XML document and CIM is an evolving standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science","Earth Science","Atmospheric Science"],"domains":["Resource metadata","Climate","Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6798,"fairsharing_record_id":1112,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:28:14.396Z","updated_at":"2021-09-30T09:28:14.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6801,"fairsharing_record_id":1112,"organisation_id":2056,"relation":"undefined","created_at":"2021-09-30T09:28:14.518Z","updated_at":"2021-09-30T09:28:14.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6797,"fairsharing_record_id":1112,"organisation_id":1348,"relation":"undefined","created_at":"2021-09-30T09:28:14.365Z","updated_at":"2021-09-30T09:28:14.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":1348,"name":"Infrastructure for the European Network for Earth System Modelling (IS-ENES)","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6799,"fairsharing_record_id":1112,"organisation_id":1945,"relation":"undefined","created_at":"2021-09-30T09:28:14.438Z","updated_at":"2021-09-30T09:28:14.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6800,"fairsharing_record_id":1112,"organisation_id":2071,"relation":"undefined","created_at":"2021-09-30T09:28:14.480Z","updated_at":"2021-09-30T09:28:14.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6802,"fairsharing_record_id":1112,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:28:14.555Z","updated_at":"2021-09-30T09:28:14.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1131","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T14:42:59.000Z","updated_at":"2022-12-21T14:57:05.497Z","metadata":{"doi":"10.25504/FAIRsharing.nPfuTE","name":"Neurodata Without Borders: Neurophysiology 2.0","status":"ready","contacts":[{"contact_name":"Benjamin Dichter","contact_email":"bdichter@lbl.gov","contact_orcid":"0000-0001-5725-6910"}],"homepage":"https://www.nwb.org/nwb-neurophysiology/","citations":[],"identifier":1131,"description":"Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 is a data standard for neurophysiology, that provideds neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB:N 2.0 is designed to store a variety of neurophysiology data, including from intracellular and extracellular electrophysiology experiments, optical physiology experiments, as well as tracking and stimulus data.","abbreviation":"NWB:N 2.0","support_links":[{"url":"https://www.nwb.org/contact-us/","name":"Contact","type":"Contact form"},{"url":"https://www.nwb.org","name":"Neurodata Without Borders","type":"Help documentation"},{"url":"https://pynwb.readthedocs.io/en/stable/contributing.html","name":"Contributing to NWB","type":"Help documentation"},{"url":"https://www.nwb.org/2019/02/26/nwbn-2-0-final-released/","name":"NWB:N 2.0 Release Info","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001460","bsg-s001460"],"name":"FAIRsharing record for: Neurodata Without Borders: Neurophysiology 2.0","abbreviation":"NWB:N 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.nPfuTE","doi":"10.25504/FAIRsharing.nPfuTE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 is a data standard for neurophysiology, that provideds neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB:N 2.0 is designed to store a variety of neurophysiology data, including from intracellular and extracellular electrophysiology experiments, optical physiology experiments, as well as tracking and stimulus data.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17032},{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12389}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurophysiology","Cognitive Neuroscience","Neuroscience","Electrophysiology"],"domains":["Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2889,"pubmed_id":26590340,"title":"Neurodata Without Borders: Creating a Common Data Format for Neurophysiology.","year":2015,"url":"http://doi.org/10.1016/j.neuron.2015.10.025","authors":"Teeters JL,Godfrey K,Young R,Dang C,Friedsam C,Wark B,Asari H,Peron S,Li N,Peyrache A,Denisov G,Siegle JH,Olsen SR,Martin C,Chun M,Tripathy S,Blanche TJ,Harris K,Buzsaki G,Koch C,Meister M,Svoboda K,Sommer FT","journal":"Neuron","doi":"10.1016/j.neuron.2015.10.025","created_at":"2021-09-30T08:27:55.758Z","updated_at":"2021-09-30T08:27:55.758Z"},{"id":2890,"pubmed_id":null,"title":"NWB:N 2.0: An Accessible Data Standard for Neurophysiology","year":2019,"url":"https://doi.org/10.1101/523035","authors":"Oliver Rübel, Andrew Tritt, Benjamin Dichter, Thomas Braun, Nicholas Cain, Nathan Clack, Thomas J. Davidson, Max Dougherty, Jean-Christophe Fillion-Robin, Nile Graddis, Michael Grauer, Justin T. Kiggins, Lawrence Niu, Doruk Ozturk, William Schroeder, Ivan Soltesz, Friedrich T. Sommer, Karel Svoboda, Ng Lydia, Loren M. Frank, Kristofer Bouchard","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:27:55.866Z","updated_at":"2021-09-30T11:28:40.386Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1383,"relation":"undefined"}],"grants":[{"id":6838,"fairsharing_record_id":1131,"organisation_id":1321,"relation":"funds","created_at":"2021-09-30T09:28:15.881Z","updated_at":"2021-09-30T09:28:15.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6841,"fairsharing_record_id":1131,"organisation_id":2794,"relation":"funds","created_at":"2021-09-30T09:28:15.989Z","updated_at":"2021-09-30T09:28:15.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":2794,"name":"The Kavli Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6840,"fairsharing_record_id":1131,"organisation_id":2570,"relation":"funds","created_at":"2021-09-30T09:28:15.951Z","updated_at":"2021-09-30T09:28:15.951Z","grant_id":null,"is_lead":false,"saved_state":{"id":2570,"name":"Simons Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6842,"fairsharing_record_id":1131,"organisation_id":60,"relation":"maintains","created_at":"2021-09-30T09:28:16.028Z","updated_at":"2021-09-30T09:28:16.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":60,"name":"Allen Institute for Brain Science, Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6843,"fairsharing_record_id":1131,"organisation_id":1243,"relation":"maintains","created_at":"2021-09-30T09:28:16.065Z","updated_at":"2021-09-30T09:28:16.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1243,"name":"HHMI Janelia Research Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9319,"fairsharing_record_id":1131,"organisation_id":1691,"relation":"maintains","created_at":"2022-04-11T12:07:30.070Z","updated_at":"2022-04-11T12:07:30.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1132","type":"fairsharing_records","attributes":{"created_at":"2018-06-15T14:50:18.000Z","updated_at":"2024-03-21T16:13:40.481Z","metadata":{"doi":"10.25504/FAIRsharing.jGj1ly","name":"IDG Cell Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":1132,"description":"Cultured cell reagent resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001217","bsg-s001217"],"name":"FAIRsharing record for: IDG Cell Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jGj1ly","doi":"10.25504/FAIRsharing.jGj1ly","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cultured cell reagent resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11703}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Peptide","Protein targeting","Antibody","Small molecule","Tissue"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6844,"fairsharing_record_id":1132,"organisation_id":1314,"relation":"maintains","created_at":"2021-09-30T09:28:16.102Z","updated_at":"2024-03-21T16:09:07.085Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11574,"fairsharing_record_id":1132,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:03.592Z","updated_at":"2024-03-21T13:59:03.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZzRFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--77a0d77d33d12ca3157931f33790bdd21c5c4958/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"1133","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:04:08.000Z","updated_at":"2023-06-02T15:16:32.563Z","metadata":{"doi":"10.25504/FAIRsharing.gt5K7W","name":"Vocabulary of Heat Transfers","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/1WB/en/","citations":[],"identifier":1133,"description":"Controlled vocabulary used for indexing bibliographical records dealing with “Classical Thermodynamics / Heat Transfers” in the PASCAL database (1972 à 2015). This vocabulary reflects the content of the indexed articles, including the experimental and/or theoretical context in which the heat transfer phenomena were studied. The resource is aligned with Rameau and LCSH. It consists of 1462 entries in 2 languages (English, French) grouped under 7 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001409","bsg-s001409"],"name":"FAIRsharing record for: Vocabulary of Heat Transfers","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.gt5K7W","doi":"10.25504/FAIRsharing.gt5K7W","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records dealing with “Classical Thermodynamics / Heat Transfers” in the PASCAL database (1972 à 2015). This vocabulary reflects the content of the indexed articles, including the experimental and/or theoretical context in which the heat transfer phenomena were studied. The resource is aligned with Rameau and LCSH. It consists of 1462 entries in 2 languages (English, French) grouped under 7 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11305}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Thermodynamics","Physical Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Heat transfers"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":596,"relation":"undefined"}],"grants":[{"id":6847,"fairsharing_record_id":1133,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.212Z","updated_at":"2021-09-30T09:28:16.212Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6846,"fairsharing_record_id":1133,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.173Z","updated_at":"2021-09-30T09:28:16.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1134","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T18:56:12.000Z","updated_at":"2024-03-21T16:13:37.544Z","metadata":{"doi":"10.25504/FAIRsharing.stYji6","name":"IDG Antibody Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":1134,"description":"Primary and secondary antibody resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001223","bsg-s001223"],"name":"FAIRsharing record for: IDG Antibody Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.stYji6","doi":"10.25504/FAIRsharing.stYji6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Primary and secondary antibody resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11705}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunology","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6848,"fairsharing_record_id":1134,"organisation_id":1314,"relation":"maintains","created_at":"2021-09-30T09:28:16.243Z","updated_at":"2024-03-21T16:12:02.219Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11575,"fairsharing_record_id":1134,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:03.818Z","updated_at":"2024-03-21T13:59:03.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6e0f954cd59a4abb0cf0d2c18557c761f3d016c2/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"1135","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:27.325Z","metadata":{"doi":"10.25504/FAIRsharing.v8sf83","name":"Standardization in Laboratory Automation Consortium","status":"ready","contacts":[{"contact_name":"Devon Johnston","contact_email":"devon.johnston@sila-standard.org"}],"homepage":"http://www.sila-standard.org/","identifier":1135,"description":"SiLA is a global not-for-profit consortium of laboratory automation users, device suppliers, and integrators. Its mission is to establish international standards which create open connectivity in lab automation. SiLA enables vendor-independent device control and data exchange, through standard instrument interfaces and common command dictionaries, as well as data capture and labware description file standards.","abbreviation":"SiLA","support_links":[{"url":"http://www.sila-standard.org/training/","type":"Training documentation"}]},"legacy_ids":["bsg-000544","bsg-s000544"],"name":"FAIRsharing record for: Standardization in Laboratory Automation Consortium","abbreviation":"SiLA","url":"https://fairsharing.org/10.25504/FAIRsharing.v8sf83","doi":"10.25504/FAIRsharing.v8sf83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SiLA is a global not-for-profit consortium of laboratory automation users, device suppliers, and integrators. Its mission is to establish international standards which create open connectivity in lab automation. SiLA enables vendor-independent device control and data exchange, through standard instrument interfaces and common command dictionaries, as well as data capture and labware description file standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Automation","Life Science","Biomedical Science"],"domains":["Device"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","Liechtenstein","Switzerland","United Kingdom","United States"],"publications":[{"id":626,"pubmed_id":22357556,"title":"SiLA: Basic standards for rapid integration in laboratory automation","year":2012,"url":"http://doi.org/10.1177/2211068211424550","authors":"Bär Henning, Hochstrasser Remo, Papenfuss Bernd","journal":"Journal of Laboratory Automation","doi":"10.1177/2211068211424550","created_at":"2021-09-30T08:23:28.827Z","updated_at":"2021-09-30T08:23:28.827Z"}],"licence_links":[{"licence_name":"SiLA Privacy Policy","licence_id":746,"licence_url":"http://www.sila-standard.org/privacy_policy/","link_id":3,"relation":"undefined"}],"grants":[{"id":6850,"fairsharing_record_id":1135,"organisation_id":97,"relation":"maintains","created_at":"2021-09-30T09:28:16.297Z","updated_at":"2021-09-30T09:28:16.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":97,"name":"AnIML Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6852,"fairsharing_record_id":1135,"organisation_id":2566,"relation":"funds","created_at":"2021-09-30T09:28:16.378Z","updated_at":"2021-09-30T09:28:16.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":2566,"name":"SILA Consortium","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6851,"fairsharing_record_id":1135,"organisation_id":2577,"relation":"maintains","created_at":"2021-09-30T09:28:16.339Z","updated_at":"2021-09-30T09:28:16.339Z","grant_id":null,"is_lead":false,"saved_state":{"id":2577,"name":"SLAS","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1099","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T11:04:42.134Z","metadata":{"doi":"10.25504/FAIRsharing.v06c4q","name":"IBP Cassava Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_334:ROOT","citations":[],"identifier":1099,"description":"Crop-specific trait ontologies enhance the interoperability and effectiveness of data exchange between the data sources which adopt it, by providing standard concepts that are use to describe phenotypes stored in those sources. As one of them, the Cassava Ontology is actively used and shared in different databases such as the BMS (Breeding Management system) of the IBP or the CassavaBase. Cassava, a major staple crop, is the main source of calories for 500 million people across the globe. A perennial woody shrub native to Latin America, cassava is primarily grown as an annual crop in the humid tropics. A cash crop as well as a subsistence crop, cassava's large edible starchy roots are a source of low-cost carbohydrates for millions. Cassava end products range from fresh roots cooked, boiled, baked or fried at the household level, to highly processed starch as a food additive.","abbreviation":"CO_334","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help Page","type":"Help documentation"},{"url":"https://github.com/Planteome/ibp-cassava-traits","name":"GitHub Repository","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001106","bsg-s001106"],"name":"FAIRsharing record for: IBP Cassava Trait Ontology","abbreviation":"CO_334","url":"https://fairsharing.org/10.25504/FAIRsharing.v06c4q","doi":"10.25504/FAIRsharing.v06c4q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Crop-specific trait ontologies enhance the interoperability and effectiveness of data exchange between the data sources which adopt it, by providing standard concepts that are use to describe phenotypes stored in those sources. As one of them, the Cassava Ontology is actively used and shared in different databases such as the BMS (Breeding Management system) of the IBP or the CassavaBase. Cassava, a major staple crop, is the main source of calories for 500 million people across the globe. A perennial woody shrub native to Latin America, cassava is primarily grown as an annual crop in the humid tropics. A cash crop as well as a subsistence crop, cassava's large edible starchy roots are a source of low-cost carbohydrates for millions. Cassava end products range from fresh roots cooked, boiled, baked or fried at the household level, to highly processed starch as a food additive.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Nutritional Science"],"domains":["Food","Phenotype"],"taxonomies":["Manihot esculenta"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1812,"relation":"undefined"}],"grants":[{"id":6775,"fairsharing_record_id":1099,"organisation_id":489,"relation":"maintains","created_at":"2021-09-30T09:28:13.495Z","updated_at":"2021-09-30T09:28:13.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":489,"name":"CGIAR Research Program on Roots, Tubers and Bananas","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6776,"fairsharing_record_id":1099,"organisation_id":382,"relation":"maintains","created_at":"2021-09-30T09:28:13.537Z","updated_at":"2021-09-30T09:28:13.537Z","grant_id":null,"is_lead":false,"saved_state":{"id":382,"name":"Cassavabase","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6777,"fairsharing_record_id":1099,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:28:13.576Z","updated_at":"2021-09-30T09:28:13.576Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1100","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:24:45.070Z","metadata":{"doi":"10.25504/FAIRsharing.fgd5gq","name":"Mungbean Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_346:ROOT","citations":[],"identifier":1100,"description":"The Mungbean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","abbreviation":"CO_346","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001103","bsg-s001103"],"name":"FAIRsharing record for: Mungbean Ontology","abbreviation":"CO_346","url":"https://fairsharing.org/10.25504/FAIRsharing.fgd5gq","doi":"10.25504/FAIRsharing.fgd5gq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mungbean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Vigna radiata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1854,"relation":"undefined"}],"grants":[{"id":6778,"fairsharing_record_id":1100,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:13.613Z","updated_at":"2021-09-30T09:28:13.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1101","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T12:32:23.000Z","updated_at":"2024-03-25T20:56:42.746Z","metadata":{"doi":"10.25504/FAIRsharing.364323","name":"Rich Text Format","status":"ready","contacts":[],"homepage":"https://en.wikipedia.org/wiki/Rich_Text_Format","citations":[],"identifier":1101,"description":"The Rich Text Format (RTF) Specification provides a format for text and graphics interchange that can be used with different output devices, operating environments, and operating systems. Version 1.9.1 of the specification contains the latest updates introduced by Microsoft Office Word 2007. Please note that normally FAIRsharing would not use a third-party URL such as Wikipedia for its homepage, however an official site cannot be found. Please get in touch with us if you have any information.","abbreviation":"RTF","year_creation":1987},"legacy_ids":["bsg-001263","bsg-s001263"],"name":"FAIRsharing record for: Rich Text Format","abbreviation":"RTF","url":"https://fairsharing.org/10.25504/FAIRsharing.364323","doi":"10.25504/FAIRsharing.364323","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Rich Text Format (RTF) Specification provides a format for text and graphics interchange that can be used with different output devices, operating environments, and operating systems. Version 1.9.1 of the specification contains the latest updates introduced by Microsoft Office Word 2007. Please note that normally FAIRsharing would not use a third-party URL such as Wikipedia for its homepage, however an official site cannot be found. Please get in touch with us if you have any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6779,"fairsharing_record_id":1101,"organisation_id":1835,"relation":"maintains","created_at":"2021-09-30T09:28:13.654Z","updated_at":"2021-09-30T09:28:13.654Z","grant_id":null,"is_lead":true,"saved_state":{"id":1835,"name":"Microsoft Corporation, Seattle, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1102","type":"fairsharing_records","attributes":{"created_at":"2021-01-14T11:57:07.000Z","updated_at":"2022-07-20T13:11:55.061Z","metadata":{"doi":"10.25504/FAIRsharing.41e4bc","name":"Essential Ocean Variables","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"goos@unesco.org"}],"homepage":"https://www.goosocean.org/index.php?option=com_content\u0026view=article\u0026id=14\u0026Itemid=114","identifier":1102,"description":"Essential Ocean Variables (EOV) is a vocabulary created to avoid duplication of efforts across observing platforms and networks, and to aid adoption of common standards for data collection. Values within EOV are identified by the GOOS Expert Panels, based relevance, feasibility and cost effectiveness.","abbreviation":"EOV"},"legacy_ids":["bsg-001580","bsg-s001580"],"name":"FAIRsharing record for: Essential Ocean Variables","abbreviation":"EOV","url":"https://fairsharing.org/10.25504/FAIRsharing.41e4bc","doi":"10.25504/FAIRsharing.41e4bc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Essential Ocean Variables (EOV) is a vocabulary created to avoid duplication of efforts across observing platforms and networks, and to aid adoption of common standards for data collection. Values within EOV are identified by the GOOS Expert Panels, based relevance, feasibility and cost effectiveness.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Earth Science","Oceanography","Biology","Ecosystem Science"],"domains":["Climate","Ecosystem"],"taxonomies":["All"],"user_defined_tags":["biogeochemistry"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6780,"fairsharing_record_id":1102,"organisation_id":1178,"relation":"maintains","created_at":"2021-09-30T09:28:13.694Z","updated_at":"2021-09-30T09:28:13.694Z","grant_id":null,"is_lead":true,"saved_state":{"id":1178,"name":"Global Ocean Observing System (GOOS), Intergovernmental Oceanographic Commission (IOC), UNESCO","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1103","type":"fairsharing_records","attributes":{"created_at":"2018-03-10T20:06:18.000Z","updated_at":"2023-07-31T12:45:51.900Z","metadata":{"doi":"10.25504/FAIRsharing.2b04ae","name":"Woody Plant Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"},{"contact_name":"urgi-data","contact_email":"urgi-data@inrae.fr","contact_orcid":null}],"homepage":"https://doi.org/10.15454/JB2WCE","citations":[],"identifier":1103,"description":"The Woody Plant Ontology lists reference variables used for experimentations and observations on woody plants (forest trees and shrubs, and possibly fruit trees). It is an international initiative based on various communities (French, Portuguese and European). Terms are collected from various sources and organized following the Crop Ontology standard which provides harmonized variables composed by a triplet: (i) a trait, the studied character, (ii) a method, the measurement protocol and (iii) a scale, the unit of measurement or scoring scale. ","abbreviation":"CO_357","support_links":[{"url":"celia.michotey@inra.fr","name":"Celia Michotey","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2017,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/co_357","name":"Woody Plant Ontology on OLS","portal":"OLS"},{"url":"http://agroportal.lirmm.fr/ontologies/CO_357?p=summary","name":"Woody Plant Ontology on AgroPortal","portal":"AgroPortal"},{"url":"https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.15454/JB2WCE","name":"Woody Plant Ontology on Data INRAE","portal":"Other"},{"url":"https://cropontology.org/term/CO_357:ROOT","name":"Woody Plant Ontology on Crop Ontology","portal":"Other"}]},"legacy_ids":["bsg-001136","bsg-s001136"],"name":"FAIRsharing record for: Woody Plant Ontology","abbreviation":"CO_357","url":"https://fairsharing.org/10.25504/FAIRsharing.2b04ae","doi":"10.25504/FAIRsharing.2b04ae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Woody Plant Ontology lists reference variables used for experimentations and observations on woody plants (forest trees and shrubs, and possibly fruit trees). It is an international initiative based on various communities (French, Portuguese and European). Terms are collected from various sources and organized following the Crop Ontology standard which provides harmonized variables composed by a triplet: (i) a trait, the studied character, (ii) a method, the measurement protocol and (iii) a scale, the unit of measurement or scoring scale. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Phenotype"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3141,"pubmed_id":null,"title":"Woody Plant Ontology, V1 ","year":2019,"url":"https://doi.org/10.15454/JB2WCE","authors":" Michotey, Célia; Chaves, Ines; Anger, Christel; Jorge, Véronique; Ehrenmann, Francois; Jean, Frederic; Opgenoorth, Lars","journal":"Portail Data INRAE","doi":"","created_at":"2021-11-30T11:01:58.023Z","updated_at":"2021-11-30T11:01:58.023Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1351,"relation":"undefined"}],"grants":[{"id":8616,"fairsharing_record_id":1103,"organisation_id":1301,"relation":"collaborates_on","created_at":"2021-11-29T19:42:13.796Z","updated_at":"2021-11-29T19:42:13.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":1301,"name":"iBET","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":6781,"fairsharing_record_id":1103,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:13.734Z","updated_at":"2021-09-30T09:28:13.734Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1104","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T10:31:00.000Z","updated_at":"2023-06-05T06:22:58.345Z","metadata":{"doi":"10.25504/FAIRsharing.YovxU6","name":"Vocabulary of Philosophy","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/73G/en/","citations":[],"identifier":1104,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Philosophy\" FRANCIS database (1972-2015). It consists of 4435 entries in mainly 2 languages (English and French) grouped into 102 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001405","bsg-s001405"],"name":"FAIRsharing record for: Vocabulary of Philosophy","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.YovxU6","doi":"10.25504/FAIRsharing.YovxU6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Philosophy\" FRANCIS database (1972-2015). It consists of 4435 entries in mainly 2 languages (English and French) grouped into 102 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11293}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Philosophy","Classical Philology","Practical Philosophy","Theoretical Philosophy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1112,"relation":"undefined"}],"grants":[{"id":6782,"fairsharing_record_id":1104,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:13.821Z","updated_at":"2021-09-30T09:28:13.821Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6783,"fairsharing_record_id":1104,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:13.863Z","updated_at":"2021-09-30T09:28:13.863Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1105","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:04.000Z","updated_at":"2022-07-20T12:46:55.551Z","metadata":{"doi":"10.25504/FAIRsharing.hve0ac","name":"Matter Transfer Ontology","status":"ready","contacts":[{"contact_name":"Patrice Buche","contact_email":"patrice.buche@supagro.inra.fr"}],"homepage":"https://www6.inrae.fr/cati-icat-atweb/Ontologies/Transmat","identifier":1105,"description":"The Matter Transfer ontology is dedicated to matter transfer (eg O2, CO2, H2O) and mechanical properties of materials especially with respect to food, bacteria and packaging fields.","abbreviation":"TRANSMAT","support_links":[{"url":"guillard@univ-montp2.fr","name":"Valerie Guillard","type":"Support email"}],"year_creation":2015},"legacy_ids":["bsg-001095","bsg-s001095"],"name":"FAIRsharing record for: Matter Transfer Ontology","abbreviation":"TRANSMAT","url":"https://fairsharing.org/10.25504/FAIRsharing.hve0ac","doi":"10.25504/FAIRsharing.hve0ac","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Matter Transfer ontology is dedicated to matter transfer (eg O2, CO2, H2O) and mechanical properties of materials especially with respect to food, bacteria and packaging fields.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Materials Science"],"domains":["Food"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2589,"pubmed_id":null,"title":"MAP-OPT: A software for supporting decision-making in the field of modified atmosphere packaging of fresh non respiring foods","year":2017,"url":"https://hal.archives-ouvertes.fr/lirmm-01652014","authors":"Valerie Guillard, Olivier Couvert, Valerie Stahl, Patrice Buche, Aurelie Hanin, et al.","journal":"Packaging Research, De Gruyter OPEN, A Paraitre, pp.1-43.","doi":null,"created_at":"2021-09-30T08:27:17.595Z","updated_at":"2021-09-30T11:28:32.410Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1422,"relation":"undefined"}],"grants":[{"id":6784,"fairsharing_record_id":1105,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:28:13.905Z","updated_at":"2021-09-30T09:28:13.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6785,"fairsharing_record_id":1105,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:13.946Z","updated_at":"2021-09-30T09:28:13.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6786,"fairsharing_record_id":1105,"organisation_id":1360,"relation":"maintains","created_at":"2021-09-30T09:28:13.984Z","updated_at":"2021-09-30T09:28:13.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":1360,"name":"INRA @Web Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1095","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T22:31:14.000Z","updated_at":"2023-05-05T07:50:23.327Z","metadata":{"doi":"10.25504/FAIRsharing.IIMCe0","name":"Gene Ontology Gene Association File Format 2.0","status":"deprecated","contacts":[{"contact_name":"Gene Ontology Consortium Helpdesk","contact_email":"help@geneontology.org","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://geneontology.org/docs/go-annotation-file-gaf-format-2.0/","citations":[],"identifier":1095,"description":"Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.0 (GAF 2.0). The annotation flat file format is comprised of 17 tab-delimited fields. The newer GAF 2.1 format is preferred over this older 2.0 format.","abbreviation":"GO GAF 2.0","support_links":[{"url":"https://github.com/geneontology/helpdesk/issues","name":"GO GitHub Issue Tracker","type":"Github"},{"url":"http://geneontology.org/docs/go-annotations/","name":"Introduction to GO annotations","type":"Help documentation"}],"year_creation":2013,"associated_tools":[{"url":"http://noctua.berkeleybop.org/","name":"NOCTUA Curation Platform"},{"url":"http://geneontology.org/go-cam","name":"GO Causal Activity Models (CAMs) viewer"}],"deprecation_date":"2021-02-01","deprecation_reason":"Deprecated as has been superseded."},"legacy_ids":["bsg-001129","bsg-s001129"],"name":"FAIRsharing record for: Gene Ontology Gene Association File Format 2.0","abbreviation":"GO GAF 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.IIMCe0","doi":"10.25504/FAIRsharing.IIMCe0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.0 (GAF 2.0). The annotation flat file format is comprised of 17 tab-delimited fields. The newer GAF 2.1 format is preferred over this older 2.0 format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Animal Genetics","Genetics","Human Genetics","Life Science","Molecular Genetics","Plant Genetics"],"domains":["Gene Ontology enrichment","Gene functional annotation","Functional association","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":203,"relation":"undefined"}],"grants":[{"id":6766,"fairsharing_record_id":1095,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:28:13.154Z","updated_at":"2021-09-30T09:28:13.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1096","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:01:07.000Z","updated_at":"2022-07-20T09:53:40.585Z","metadata":{"doi":"10.25504/FAIRsharing.a14123","name":"Common Bean Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_335:ROOT","citations":[],"identifier":1096,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Common Bean Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_335","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2021},"legacy_ids":["bsg-001130","bsg-s001130"],"name":"FAIRsharing record for: Common Bean Ontology","abbreviation":"CO_335","url":"https://fairsharing.org/10.25504/FAIRsharing.a14123","doi":"10.25504/FAIRsharing.a14123","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Common Bean Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food"],"taxonomies":["Phaseolus vulgaris"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1848,"relation":"undefined"}],"grants":[{"id":6767,"fairsharing_record_id":1096,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:28:13.192Z","updated_at":"2021-09-30T09:28:13.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6768,"fairsharing_record_id":1096,"organisation_id":1476,"relation":"maintains","created_at":"2021-09-30T09:28:13.224Z","updated_at":"2021-09-30T09:28:13.224Z","grant_id":null,"is_lead":false,"saved_state":{"id":1476,"name":"International Center for Tropical Agriculture (CIAT), Colombia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6769,"fairsharing_record_id":1096,"organisation_id":2969,"relation":"maintains","created_at":"2021-09-30T09:28:13.247Z","updated_at":"2021-09-30T09:28:13.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":2969,"name":"Universidad Tecnologica de Pereira (UTP), Columbia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1097","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T12:32:55.000Z","updated_at":"2022-07-20T12:28:29.312Z","metadata":{"doi":"10.25504/FAIRsharing.jT49Da","name":"Provenance Vocabulary","status":"ready","contacts":[{"contact_name":"Olaf Hartig","contact_email":"olaf.hartig@liu.se"}],"homepage":"http://purl.org/net/provenance/ns","identifier":1097,"description":"The Provenance Vocabulary provides classes and properties for describing provenance of Web data. The vocabulary focuses on two main use cases: 1.) It enables consumers of Web data to describe provenance of data retrieved from the Web and of data derived from such Web data. 2.) It enables providers of Web data to publish provenance-related metadata about their data. Notice, the vocabulary is not intended for describing provenance of other kinds of Web content. The Provenance Vocabulary is designed as a Web data specific specialization of the W3C PROV Ontology (PROV-O); classes and properties provided by the vocabulary are domain specific extensions of the more general concepts introduced in PROV-O. As a consequence, any Provenance Vocabulary based description of provenance can be easily interpreted and exchanged according to the W3C PROV family of standards. While this vocabulary is in a stable state, it is not being actively developed at this time.","abbreviation":null,"support_links":[{"url":"jun.zhao@cs.ox.ac.uk","name":"Jun Zhao","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-001431","bsg-s001431"],"name":"FAIRsharing record for: Provenance Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jT49Da","doi":"10.25504/FAIRsharing.jT49Da","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Provenance Vocabulary provides classes and properties for describing provenance of Web data. The vocabulary focuses on two main use cases: 1.) It enables consumers of Web data to describe provenance of data retrieved from the Web and of data derived from such Web data. 2.) It enables providers of Web data to publish provenance-related metadata about their data. Notice, the vocabulary is not intended for describing provenance of other kinds of Web content. The Provenance Vocabulary is designed as a Web data specific specialization of the W3C PROV Ontology (PROV-O); classes and properties provided by the vocabulary are domain specific extensions of the more general concepts introduced in PROV-O. As a consequence, any Provenance Vocabulary based description of provenance can be easily interpreted and exchanged according to the W3C PROV family of standards. While this vocabulary is in a stable state, it is not being actively developed at this time.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Sweden","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 1.0 Generic (CC BY 1.0)","licence_id":156,"licence_url":"https://creativecommons.org/licenses/by/1.0/","link_id":1804,"relation":"undefined"}],"grants":[{"id":6770,"fairsharing_record_id":1097,"organisation_id":693,"relation":"maintains","created_at":"2021-09-30T09:28:13.273Z","updated_at":"2021-09-30T09:28:13.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":693,"name":"Department of Computer and Information Science (IDA), Linkoeping University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6771,"fairsharing_record_id":1097,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:13.297Z","updated_at":"2021-09-30T09:28:13.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1098","type":"fairsharing_records","attributes":{"created_at":"2019-11-05T12:27:35.000Z","updated_at":"2022-07-20T12:45:47.350Z","metadata":{"doi":"10.25504/FAIRsharing.Hbvvle","name":"BpForms Grammar","status":"ready","contacts":[{"contact_name":"Karr Lab","contact_email":"info@karrlab.org"}],"homepage":"https://www.bpforms.org/#grammar","citations":[{"publication_id":2611}],"identifier":1098,"description":"The BpForms Grammar extends the IUPAC/IUBMB notation commonly used to represent unmodified DNA, RNA, and proteins to describe non-canonical forms of DNA, RNA, and proteins. Features include the representation of a wider range of monomeric forms, including monomeric forms that are not described in pre-defined alphabets; left and right caps such as 5' caps; intrastrand crosslinks (additional bonds between non-adjacent monomeric forms); nicks (absence of a bond between adjacent monomeric forms); and linear and circular topologies of polymers. BpForms has concrete semantics for generating molecular structures from its compressed representation of sequences of monomeric forms. The BpForms grammar is defined in Lark syntax , which is based on EBNF syntax","abbreviation":"BpForms Grammar","support_links":[{"url":"https://docs.karrlab.org/bpforms/master/0.0.9/grammar.html#","name":"Grammar Documentation","type":"Help documentation"},{"url":"https://github.com/KarrLab/bpforms","name":"Source code","type":"Github"}],"year_creation":2019},"legacy_ids":["bsg-001396","bsg-s001396"],"name":"FAIRsharing record for: BpForms Grammar","abbreviation":"BpForms Grammar","url":"https://fairsharing.org/10.25504/FAIRsharing.Hbvvle","doi":"10.25504/FAIRsharing.Hbvvle","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BpForms Grammar extends the IUPAC/IUBMB notation commonly used to represent unmodified DNA, RNA, and proteins to describe non-canonical forms of DNA, RNA, and proteins. Features include the representation of a wider range of monomeric forms, including monomeric forms that are not described in pre-defined alphabets; left and right caps such as 5' caps; intrastrand crosslinks (additional bonds between non-adjacent monomeric forms); nicks (absence of a bond between adjacent monomeric forms); and linear and circular topologies of polymers. BpForms has concrete semantics for generating molecular structures from its compressed representation of sequences of monomeric forms. The BpForms grammar is defined in Lark syntax , which is based on EBNF syntax","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Bioinformatics","Genetics"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2611,"pubmed_id":null,"title":"BpForms and BcForms: Tools for concretely describing non-canonical polymers and complexes to facilitate comprehensive biochemical networks","year":2019,"url":"https://arxiv.org/abs/1903.10042","authors":"Paul F. Lang, Yassmine Chebaro, Xiaoyue Zheng, John A. P. Sekar, Bilal Shaikh, Darren A. Natale, Jonathan R. Karr","journal":"arXiv","doi":null,"created_at":"2021-09-30T08:27:20.521Z","updated_at":"2021-09-30T08:27:20.521Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1232,"relation":"undefined"}],"grants":[{"id":6772,"fairsharing_record_id":1098,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:28:13.379Z","updated_at":"2021-09-30T09:28:13.379Z","grant_id":null,"is_lead":true,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6773,"fairsharing_record_id":1098,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:13.417Z","updated_at":"2021-09-30T09:31:49.206Z","grant_id":1341,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"INSPIRE","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6774,"fairsharing_record_id":1098,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:13.454Z","updated_at":"2021-09-30T09:32:29.011Z","grant_id":1639,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41 award","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8489,"fairsharing_record_id":1098,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:52.112Z","updated_at":"2021-09-30T09:32:52.181Z","grant_id":1812,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"MIRA R35 award","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1121","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:28:17.825Z","metadata":{"doi":"10.25504/FAIRsharing.vzrsab","name":"Uniprot Tissues controlled vocabulary","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@uniprot.org"}],"homepage":"https://www.uniprot.org/docs/tisslist","identifier":1121,"description":"The UniProt Tissue List is a controlled vocabulary of terms used to annotate biological tissues in the \"TISSUE\" topic of the RC line type. It also contains cross-references to other ontologies where tissue types are specified.","abbreviation":"Uniprot Tisslist","support_links":[{"url":"https://www.uniprot.org/contact","name":"Contact Form","type":"Contact form"},{"url":"https://web.expasy.org/docs/userman.html#Ref_line","name":"Manual: Reference Lines","type":"Help documentation"}]},"legacy_ids":["bsg-000293","bsg-s000293"],"name":"FAIRsharing record for: Uniprot Tissues controlled vocabulary","abbreviation":"Uniprot Tisslist","url":"https://fairsharing.org/10.25504/FAIRsharing.vzrsab","doi":"10.25504/FAIRsharing.vzrsab","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniProt Tissue List is a controlled vocabulary of terms used to annotate biological tissues in the \"TISSUE\" topic of the RC line type. It also contains cross-references to other ontologies where tissue types are specified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Organ","Tissue"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":64,"relation":"undefined"}],"grants":[{"id":6824,"fairsharing_record_id":1121,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:28:15.372Z","updated_at":"2021-09-30T09:28:15.372Z","grant_id":null,"is_lead":true,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1122","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:53.823Z","metadata":{"doi":"10.25504/FAIRsharing.2h33ax","name":"International Classification of Primary Care, 2nd Edition","status":"ready","contacts":[{"contact_name":"Diego Schrans (WICC Chair)","contact_email":"diego.schrans@urgent.be"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-of-primary-care","identifier":1122,"description":"The International Classification of Primary Care, 2nd Edition (ICPC-2) classifies patient data and clinical activity in the domains of General/Family Practice and primary care, taking into account the frequency distribution of problems seen in these domains. It allows classification of the patient’s reason for encounter (RFE), the problems/diagnosis managed, interventions, and the ordering of these data in an episode of care structure.","abbreviation":"ICPC-2","support_links":[{"url":"ceo@wonca.net","name":"WONCA Executive","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/International_Classification_of_Primary_Care","name":"Wikipedia","type":"Wikipedia"},{"url":"https://www.globalfamilydoctor.com/groups/WorkingParties/wicc.aspx","name":"About WICC and ICPC","type":"Help documentation"}],"year_creation":1998},"legacy_ids":["bsg-002597","bsg-s002597"],"name":"FAIRsharing record for: International Classification of Primary Care, 2nd Edition","abbreviation":"ICPC-2","url":"https://fairsharing.org/10.25504/FAIRsharing.2h33ax","doi":"10.25504/FAIRsharing.2h33ax","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Primary Care, 2nd Edition (ICPC-2) classifies patient data and clinical activity in the domains of General/Family Practice and primary care, taking into account the frequency distribution of problems seen in these domains. It allows classification of the patient’s reason for encounter (RFE), the problems/diagnosis managed, interventions, and the ordering of these data in an episode of care structure.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12513},{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16787}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Social Science","Medicine","Psychology","Primary Health Care","Physiology","Biomedical Science","Epidemiology"],"domains":["Electronic health record","Patient care","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1319,"pubmed_id":3961309,"title":"International classification of primary care.","year":1986,"url":"http://doi.org/10.3109/02813438609013970","authors":"Bentsen BG","journal":"Scand J Prim Health Care","doi":"10.3109/02813438609013970","created_at":"2021-09-30T08:24:47.401Z","updated_at":"2021-09-30T08:24:47.401Z"}],"licence_links":[{"licence_name":"ICPC-2 Policy on Copyright and Licencing","licence_id":416,"licence_url":"http://www.ph3c.org/4daction/w3_CatVisu/en/rules-%26-ethics.html?wCatIDAdmin=1101","link_id":1207,"relation":"undefined"}],"grants":[{"id":6827,"fairsharing_record_id":1122,"organisation_id":764,"relation":"maintains","created_at":"2021-09-30T09:28:15.475Z","updated_at":"2021-09-30T09:28:15.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":764,"name":"Directorate of eHealth, Norwegian Ministry of Health and Care Services, Oslo, Norway","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6825,"fairsharing_record_id":1122,"organisation_id":3255,"relation":"maintains","created_at":"2021-09-30T09:28:15.416Z","updated_at":"2021-09-30T09:28:15.416Z","grant_id":null,"is_lead":false,"saved_state":{"id":3255,"name":"World Organisation of Family Doctors WONCA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6826,"fairsharing_record_id":1122,"organisation_id":3256,"relation":"maintains","created_at":"2021-09-30T09:28:15.446Z","updated_at":"2021-09-30T09:28:15.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":3256,"name":"World Organisation of Family Doctors (WONCA) Working Party: International Classification (WICC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1123","type":"fairsharing_records","attributes":{"created_at":"2016-04-22T19:00:46.000Z","updated_at":"2022-07-20T12:38:41.908Z","metadata":{"doi":"10.25504/FAIRsharing.smr0rh","name":"ANSI/NISO Z39.96 JATS: Journal Article Tag Suite","status":"ready","contacts":[{"contact_name":"NISO General Contact","contact_email":"nisohq@niso.org"}],"homepage":"http://jats.niso.org/","identifier":1123,"description":"The Journal Article Tag Suite (JATS) provides a common XML format in which publishers and archives can exchange journal content. The JATS provides a set of XML elements and attributes for describing the textual and graphical content of journal articles as well as some non-article material such as letters, editorials, and book and product reviews. When the Tag Suite was originally released in 2003, it was named NLM Journal Archiving and Interchange Tag Suite. The most recent version is the ANSI/NISO Z39.96-2019 JATS version 1.2.","abbreviation":"JATS","support_links":[{"url":"https://www.niso.org/contact","name":"NISO Contact Form","type":"Contact form"},{"url":"http://www.mulberrytech.com/JATS/JATS-List/index.html","name":"Mailing Lists","type":"Mailing list"},{"url":"https://groups.niso.org/apps/group_public/project/details.php?project_id=133","name":"JATS Project Overview","type":"Help documentation"},{"url":"https://www.niso.org/standards-committees/jats","name":"JATS Working Group","type":"Help documentation"},{"url":"https://groups.niso.org/apps/org/workgroup_feeds/public_rss.php","name":"RSS Feed","type":"Blog/News"}],"year_creation":2003},"legacy_ids":["bsg-000649","bsg-s000649"],"name":"FAIRsharing record for: ANSI/NISO Z39.96 JATS: Journal Article Tag Suite","abbreviation":"JATS","url":"https://fairsharing.org/10.25504/FAIRsharing.smr0rh","doi":"10.25504/FAIRsharing.smr0rh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Journal Article Tag Suite (JATS) provides a common XML format in which publishers and archives can exchange journal content. The JATS provides a set of XML elements and attributes for describing the textual and graphical content of journal articles as well as some non-article material such as letters, editorials, and book and product reviews. When the Tag Suite was originally released in 2003, it was named NLM Journal Archiving and Interchange Tag Suite. The most recent version is the ANSI/NISO Z39.96-2019 JATS version 1.2.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13899},{"linking_record_name":"White House Office of Science and Technology Policy Collection","linking_record_id":4259,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15325}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Resource metadata","Annotation","Journal article","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":["Publishing"],"countries":["United States"],"publications":[{"id":1131,"pubmed_id":22140303,"title":"NISO Z39.96The Journal Article Tag Suite (JATS): What Happened to the NLM DTDs?","year":2011,"url":"http://doi.org/10.3998/3336451.0014.106","authors":"Beck J","journal":"J Electron Publ","doi":"10.3998/3336451.0014.106","created_at":"2021-09-30T08:24:25.499Z","updated_at":"2021-09-30T08:24:25.499Z"}],"licence_links":[],"grants":[{"id":6828,"fairsharing_record_id":1123,"organisation_id":2000,"relation":"maintains","created_at":"2021-09-30T09:28:15.499Z","updated_at":"2021-09-30T09:28:15.499Z","grant_id":null,"is_lead":true,"saved_state":{"id":2000,"name":"National Information Standards Organisation, NISO, Baltimore, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1113","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T16:25:38.000Z","updated_at":"2023-03-21T16:16:05.397Z","metadata":{"doi":"10.25504/FAIRsharing.032f20","name":"World Meteorological Organization GRIdded Binary Codes Edition 2","status":"ready","contacts":[],"homepage":"http://codes.wmo.int/_grib2","citations":[],"identifier":1113,"description":"The World Meteorological Organization (WMO) has adopted Edition 2 of the GRIB codes as a standard vocabulary to help with sharing gridded binary (GRIB) files. The GRIB2 codes are used internationally to identify weather parameters. In general, WMO Codes are definitions of particular concepts, provided by the WMO. Each code on the WMO site is published as an entry with its own unique identifier, a URI (Uniform Resource Identifier). The collection of statements in the definition table provide information about the code and its use. Often these statements link to other resources within the WMO registry and across the web. Codes are organised within registers, providing context for those codes. A list of related codes about a particular topic will be published as a register. Please note the GRIB2 Codes are distinct from the GRIB2 data format.","abbreviation":"WMO GRIB2 Codes","support_links":[{"url":"http://codes.wmo.int/ui/about/expectations","name":"What to expect about the WMO Codes Registry Service","type":"Help documentation"},{"url":"http://codes.wmo.int/ui/about/whatisacode","name":"What is a WMO Code?","type":"Help documentation"},{"url":"https://github.com/wmo-im/GRIB2","type":"Github"}]},"legacy_ids":["bsg-001571","bsg-s001571"],"name":"FAIRsharing record for: World Meteorological Organization GRIdded Binary Codes Edition 2","abbreviation":"WMO GRIB2 Codes","url":"https://fairsharing.org/10.25504/FAIRsharing.032f20","doi":"10.25504/FAIRsharing.032f20","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Meteorological Organization (WMO) has adopted Edition 2 of the GRIB codes as a standard vocabulary to help with sharing gridded binary (GRIB) files. The GRIB2 codes are used internationally to identify weather parameters. In general, WMO Codes are definitions of particular concepts, provided by the WMO. Each code on the WMO site is published as an entry with its own unique identifier, a URI (Uniform Resource Identifier). The collection of statements in the definition table provide information about the code and its use. Often these statements link to other resources within the WMO registry and across the web. Codes are organised within registers, providing context for those codes. A list of related codes about a particular topic will be published as a register. Please note the GRIB2 Codes are distinct from the GRIB2 data format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Meteorology"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Forecasting"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6803,"fairsharing_record_id":1113,"organisation_id":3254,"relation":"maintains","created_at":"2021-09-30T09:28:14.597Z","updated_at":"2021-09-30T09:28:14.597Z","grant_id":null,"is_lead":true,"saved_state":{"id":3254,"name":"World Meteorological Organization (WMO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1114","type":"fairsharing_records","attributes":{"created_at":"2020-04-08T18:29:45.000Z","updated_at":"2023-03-17T09:12:29.797Z","metadata":{"doi":"10.25504/FAIRsharing.X2qqiE","name":"Minimum information for publication of microplastics studies","status":"ready","contacts":[{"contact_name":"Alexandre Dehaut","contact_email":"alexandre.dehaut@anses.fr","contact_orcid":"0000-0001-5377-995X"}],"homepage":"https://www.sciencedirect.com/science/article/pii/S0165993618305089?via%3Dihub","citations":[{"publication_id":2851}],"identifier":1114,"description":"This guideline focuses on components to report in seafood studies for microplastic research.","abbreviation":"MIMS","support_links":[],"year_creation":2019},"legacy_ids":["bsg-001461","bsg-s001461"],"name":"FAIRsharing record for: Minimum information for publication of microplastics studies","abbreviation":"MIMS","url":"https://fairsharing.org/10.25504/FAIRsharing.X2qqiE","doi":"10.25504/FAIRsharing.X2qqiE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This guideline focuses on components to report in seafood studies for microplastic research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science","Food Chemistry"],"domains":["Environmental contaminant"],"taxonomies":["Not applicable"],"user_defined_tags":["microplastic","plastic","plastic pollution","seafood"],"countries":["France"],"publications":[{"id":2851,"pubmed_id":null,"title":"Current frontiers and recommendations for the study of microplastics in seafood","year":2019,"url":"https://www.sciencedirect.com/science/article/pii/S0165993618305089","authors":"Alexandre Dehaut, Ludovic Hermabessiere, Guillaume Duflos","journal":"TrAC Trends in Analytical Chemistry","doi":null,"created_at":"2021-09-30T08:27:50.698Z","updated_at":"2021-09-30T08:27:50.698Z"},{"id":3804,"pubmed_id":32394727,"title":"Reporting Guidelines to Increase the Reproducibility and Comparability of Research on Microplastics.","year":2020,"url":"https://doi.org/10.1177/0003702820930292","authors":"Cowger W, Booth AM, Hamilton BM, Thaysen C, Primpke S, Munno K, Lusher AL, Dehaut A, Vaz VP, Liboiron M, Devriese LI, Hermabessiere L, Rochman C, Athey SN, Lynch JM, De Frond H, Gray A, Jones OAH, Brander S, Steele C, Moore S, Sanchez A, Nel H","journal":"Applied spectroscopy","doi":"10.1177/0003702820930292","created_at":"2023-03-17T09:09:01.639Z","updated_at":"2023-03-17T09:09:01.639Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3127,"relation":"applies_to_content"}],"grants":[{"id":6804,"fairsharing_record_id":1114,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:28:14.638Z","updated_at":"2021-09-30T09:28:14.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6805,"fairsharing_record_id":1114,"organisation_id":99,"relation":"funds","created_at":"2021-09-30T09:28:14.756Z","updated_at":"2021-09-30T09:28:14.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":99,"name":"ANSES: French Agency for Food, Environmental and Occupational Health \u0026 Safety","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6806,"fairsharing_record_id":1114,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:28:14.794Z","updated_at":"2021-09-30T09:32:16.636Z","grant_id":1545,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-15- CE34-0006-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1115","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T11:37:38.000Z","updated_at":"2022-12-13T09:38:22.621Z","metadata":{"doi":"10.25504/FAIRsharing.iBQoXf","name":"Parameter Description Language","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://ivoa.net/documents/PDL/index.html","citations":[{"publication_id":2949}],"identifier":1115,"description":"The Parameter Description Language (PDL) describes parameters in a rigorous data model. With no loss of generality, we will represent this data model using XML. It intends to be a expressive language for self-descriptive web services exposing the semantic nature of input and output parameters, as well as all necessary complex constraints. PDL is a step forward towards true web services interoperability.","abbreviation":"PDL","year_creation":2014},"legacy_ids":["bsg-001189","bsg-s001189"],"name":"FAIRsharing record for: Parameter Description Language","abbreviation":"PDL","url":"https://fairsharing.org/10.25504/FAIRsharing.iBQoXf","doi":"10.25504/FAIRsharing.iBQoXf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Parameter Description Language (PDL) describes parameters in a rigorous data model. With no loss of generality, we will represent this data model using XML. It intends to be a expressive language for self-descriptive web services exposing the semantic nature of input and output parameters, as well as all necessary complex constraints. PDL is a step forward towards true web services interoperability.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11478}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2949,"pubmed_id":null,"title":"Parameter Description Language Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.0523Z","authors":"Zwolf, Carlo Maria; Harrison, Paul; Garrido, Julian; Ruiz, Jose Enrique; Le Petit, Franck","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.466Z","updated_at":"2021-09-30T08:28:03.466Z"}],"licence_links":[],"grants":[{"id":6808,"fairsharing_record_id":1115,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:14.868Z","updated_at":"2021-09-30T09:28:14.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6807,"fairsharing_record_id":1115,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:14.829Z","updated_at":"2021-09-30T09:28:14.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1116","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T16:51:38.000Z","updated_at":"2022-07-20T09:09:16.969Z","metadata":{"doi":"10.25504/FAIRsharing.8f9581","name":"British Oceanographic Data Centre Parameter Usage Vocabulary","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"vocab.services@bodc.ac.uk"}],"homepage":"https://www.bodc.ac.uk/resources/vocabularies/parameter_codes/","citations":[],"identifier":1116,"description":"The British Oceanographic Data Centre Parameter Usage Vocabulary (BODC PUV) is a controlled vocabulary for labelling variables in databases and data files in oceanography and related domains. It is a collection of unique and persistent identifiers attached to structurally logical labels and textual definitions. This vocabulary is also frequently referred to as the PO1 PUV.","abbreviation":"BODC PUV","support_links":[{"url":"https://www.bodc.ac.uk/resources/vocabularies/parameter_codes/documents/BODC_P01_PUV_semantic_model_Aug19.pdf","name":"Presentation on BODC PUV Semantic Model (PDF)","type":"Help documentation"},{"url":"https://github.com/nvs-vocabs/P01","name":"GitHub Project","type":"Github"}]},"legacy_ids":["bsg-001572","bsg-s001572"],"name":"FAIRsharing record for: British Oceanographic Data Centre Parameter Usage Vocabulary","abbreviation":"BODC PUV","url":"https://fairsharing.org/10.25504/FAIRsharing.8f9581","doi":"10.25504/FAIRsharing.8f9581","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The British Oceanographic Data Centre Parameter Usage Vocabulary (BODC PUV) is a controlled vocabulary for labelling variables in databases and data files in oceanography and related domains. It is a collection of unique and persistent identifiers attached to structurally logical labels and textual definitions. This vocabulary is also frequently referred to as the PO1 PUV.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6809,"fairsharing_record_id":1116,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:28:14.901Z","updated_at":"2021-09-30T09:28:14.901Z","grant_id":null,"is_lead":true,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1117","type":"fairsharing_records","attributes":{"created_at":"2020-09-16T11:56:29.000Z","updated_at":"2022-07-20T11:12:36.996Z","metadata":{"doi":"10.25504/FAIRsharing.b9e94b","name":"International Consortium for Atmospheric Research on Transport and Transformation Format","status":"ready","contacts":[{"contact_name":"Ali Aknan","contact_email":"ali.a.aknan@nasa.gov"}],"homepage":"http://www-air.larc.nasa.gov/missions/etc/IcarttDataFormat.htm","identifier":1117,"description":"The International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) file format is a text-based, self-describing, and relatively simple-to-use file structure. This ASCIIfile format was built on two well-established airborne data formats: NASA Ames and GTE. Like its predecessors, the ICARTT file format is designed for handling airborne insitu measurement data but having limited capability to accommodate data from airborne or ground-based remote sensing (e.g. LIDAR), ground-based measurements, and aspects of satellite data.","abbreviation":"ICARTT Format","support_links":[{"url":"gao.chen@nasa.gov","name":"Gao Chen","type":"Support email"},{"url":"james.h.crawford@nasa.gov","name":"James Crawford","type":"Support email"},{"url":"eric.j.williams@noaa.gov","name":"Eric Williams","type":"Support email"},{"url":"https://espoarchive.nasa.gov/archive/help/icartt_format","name":"ICARTT vs Ames Formats","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001525","bsg-s001525"],"name":"FAIRsharing record for: International Consortium for Atmospheric Research on Transport and Transformation Format","abbreviation":"ICARTT Format","url":"https://fairsharing.org/10.25504/FAIRsharing.b9e94b","doi":"10.25504/FAIRsharing.b9e94b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) file format is a text-based, self-describing, and relatively simple-to-use file structure. This ASCIIfile format was built on two well-established airborne data formats: NASA Ames and GTE. Like its predecessors, the ICARTT file format is designed for handling airborne insitu measurement data but having limited capability to accommodate data from airborne or ground-based remote sensing (e.g. LIDAR), ground-based measurements, and aspects of satellite data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geophysics","Earth Science","Remote Sensing"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA ICARTT Copyright Notice","licence_id":535,"licence_url":"https://www-air.larc.nasa.gov/missions/etc/IcarttDataFormat.htm#cn","link_id":46,"relation":"undefined"}],"grants":[{"id":6810,"fairsharing_record_id":1117,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:14.924Z","updated_at":"2021-09-30T09:28:14.924Z","grant_id":null,"is_lead":true,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1128","type":"fairsharing_records","attributes":{"created_at":"2015-11-17T11:39:57.000Z","updated_at":"2022-12-27T17:27:53.775Z","metadata":{"doi":"10.25504/FAIRsharing.25k4yp","name":"Fast Healthcare Interoperability Resources","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"fmgcontact@hl7.org"}],"homepage":"https://www.hl7.org/fhir/index.html","citations":[],"identifier":1128,"description":"FHIR (Fast Healthcare Interoperability Resources) is designed to enable information exchange to support the provision of healthcare in a wide variety of settings. The specification builds on and adapts modern, widely used RESTful practices to enable the provision of integrated healthcare across a wide range of teams and organizations. The intended scope of FHIR is broad, covering human and veterinary, clinical care, public health, clinical trials, administration and financial aspects. The standard has been developed by an International group of people and is intended for global use and in a wide variety of architectures and scenarios.","abbreviation":"FHIR","support_links":[{"url":"http://wiki.hl7.org/index.php?title=FHIR_Blogs","name":"FHIR Blogs","type":"Blog/News"},{"url":"https://chat.fhir.org/","name":"Implementer assistance","type":"Forum"},{"url":"http://hl7.org/fhir/documentation.html","name":"Documentation","type":"Help documentation"},{"url":"https://www.hl7.org/fhir/toc.html","name":"FHIR Site Table of Contents","type":"Help documentation"},{"url":"https://twitter.com/FHIRnews","name":"@FHIRnews","type":"Twitter"}],"year_creation":2012,"associated_tools":[{"url":"https://github.com/smart-on-fhir/Swift-FHIR","name":"Swift-FHIR"},{"url":"http://hl7.org/fhir/implsupport-module.html","name":"Implementer support page"}]},"legacy_ids":["bsg-000625","bsg-s000625"],"name":"FAIRsharing record for: Fast Healthcare Interoperability Resources","abbreviation":"FHIR","url":"https://fairsharing.org/10.25504/FAIRsharing.25k4yp","doi":"10.25504/FAIRsharing.25k4yp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FHIR (Fast Healthcare Interoperability Resources) is designed to enable information exchange to support the provision of healthcare in a wide variety of settings. The specification builds on and adapts modern, widely used RESTful practices to enable the provision of integrated healthcare across a wide range of teams and organizations. The intended scope of FHIR is broad, covering human and veterinary, clinical care, public health, clinical trials, administration and financial aspects. The standard has been developed by an International group of people and is intended for global use and in a wide variety of architectures and scenarios.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17323},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11037},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12220},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12487},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13349},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14562},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16920}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":["Interoperability"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2068,"relation":"undefined"},{"licence_name":"FHIR License","licence_id":314,"licence_url":"http://hl7.org/fhir/license.html","link_id":2067,"relation":"undefined"}],"grants":[{"id":6834,"fairsharing_record_id":1128,"organisation_id":1223,"relation":"maintains","created_at":"2021-09-30T09:28:15.694Z","updated_at":"2021-09-30T09:28:15.694Z","grant_id":null,"is_lead":true,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1129","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2021-11-24T13:14:27.084Z","metadata":{"doi":"10.25504/FAIRsharing.c5qpnc","name":"Non-Pharmacological Interventions","status":"deprecated","contacts":[{"contact_name":"The Loc NGUYEN","contact_email":"the-loc.nguyen@lirmm.fr"}],"homepage":"https://bioportal.bioontology.org/ontologies/NPI","identifier":1129,"description":"Terminologies of Non-Pharmacological Interventions","abbreviation":"NPI","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NPI","name":"NPI","portal":"BioPortal"}],"deprecation_date":"2021-03-24","deprecation_reason":"The project page and homepage for this resource no longer exists."},"legacy_ids":["bsg-000967","bsg-s000967"],"name":"FAIRsharing record for: Non-Pharmacological Interventions","abbreviation":"NPI","url":"https://fairsharing.org/10.25504/FAIRsharing.c5qpnc","doi":"10.25504/FAIRsharing.c5qpnc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminologies of Non-Pharmacological Interventions","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":6835,"fairsharing_record_id":1129,"organisation_id":3101,"relation":"maintains","created_at":"2021-09-30T09:28:15.726Z","updated_at":"2021-09-30T09:28:15.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6836,"fairsharing_record_id":1129,"organisation_id":1675,"relation":"maintains","created_at":"2021-09-30T09:28:15.759Z","updated_at":"2021-09-30T09:28:15.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":1675,"name":"Laboratory of Informatics, Robotics and Microelectronics of Montpellier (LIRMM)","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1130","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T19:56:11.000Z","updated_at":"2023-09-29T11:54:57.894Z","metadata":{"doi":"10.25504/FAIRsharing.f35b14","name":"Language resource management -- Semantic annotation framework (SemAF) -- Part 1: Time and events (SemAF-Time, ISO-TimeML)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37331.html","citations":[],"identifier":1130,"description":"Temporal information in natural language texts is an increasingly important component to the understanding of those texts. ISO 24617 (known as SemAF-Time) specifies a formalized XML-based markup language called ISO-TimeML, with a systematic way to extract and represent temporal information, as well as to facilitate the exchange of temporal information, both between operational language processing systems and between different temporal representation schemes. It was created to accommodate two pre-existing documents for annotating temporal information, TimeML 1.2.1 and TimeML Annotation Guidelines, into ISO international standards.","abbreviation":"ISO 24617-1:2012","support_links":[{"url":"http://www.timeml.org/publications/timeMLdocs/timeml_1.2.1.html","name":"TimeML 1.2.1 (pre-ISO standard)","type":"Help documentation"},{"url":"https://www.iso.org/contents/data/standard/03/73/37331.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2004},"legacy_ids":["bsg-001277","bsg-s001277"],"name":"FAIRsharing record for: Language resource management -- Semantic annotation framework (SemAF) -- Part 1: Time and events (SemAF-Time, ISO-TimeML)","abbreviation":"ISO 24617-1:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.f35b14","doi":"10.25504/FAIRsharing.f35b14","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Temporal information in natural language texts is an increasingly important component to the understanding of those texts. ISO 24617 (known as SemAF-Time) specifies a formalized XML-based markup language called ISO-TimeML, with a systematic way to extract and represent temporal information, as well as to facilitate the exchange of temporal information, both between operational language processing systems and between different temporal representation schemes. It was created to accommodate two pre-existing documents for annotating temporal information, TimeML 1.2.1 and TimeML Annotation Guidelines, into ISO international standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1393,"relation":"undefined"}],"grants":[{"id":6837,"fairsharing_record_id":1130,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:15.839Z","updated_at":"2021-09-30T09:28:15.839Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10919,"fairsharing_record_id":1130,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:08:52.718Z","updated_at":"2023-09-27T14:08:52.718Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1118","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:32.451Z","metadata":{"doi":"10.25504/FAIRsharing.67sssf","name":"InterLex","status":"in_development","contacts":[{"contact_name":"General Contact","contact_email":"info@scicrunch.org"}],"homepage":"https://scicrunch.org/scicrunch/interlex/dashboard","identifier":1118,"description":"The InterLex terminology is a lexicon of biomedical terms built on the foundation of NeuroLex and contains all of the existing NeuroLex terms. The initial entries in NeuroLex were built from the NIFSTD ontologies and BIRNLex (Biomedical Informatics Research Network Project Lexicon). Final content review from NeuroLex is still ongoing.","abbreviation":"InterLex","support_links":[{"url":"https://scicrunch.org/scicrunch/interlex/release-notes","name":"Term Release Notes","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-002584","bsg-s002584"],"name":"FAIRsharing record for: InterLex","abbreviation":"InterLex","url":"https://fairsharing.org/10.25504/FAIRsharing.67sssf","doi":"10.25504/FAIRsharing.67sssf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The InterLex terminology is a lexicon of biomedical terms built on the foundation of NeuroLex and contains all of the existing NeuroLex terms. The initial entries in NeuroLex were built from the NIFSTD ontologies and BIRNLex (Biomedical Informatics Research Network Project Lexicon). Final content review from NeuroLex is still ongoing.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11047},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11170}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Neurobiology","Biomedical Science"],"domains":["Imaging","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":893,"pubmed_id":24009581,"title":"NeuroLex.org: an online framework for neuroscience knowledge.","year":2013,"url":"http://doi.org/10.3389/fninf.2013.00018","authors":"Larson SD,Martone ME","journal":"Front Neuroinform","doi":"10.3389/fninf.2013.00018","created_at":"2021-09-30T08:23:58.689Z","updated_at":"2021-09-30T08:23:58.689Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":171,"relation":"undefined"},{"licence_name":"SciCrunch Terms of Service","licence_id":735,"licence_url":"https://scicrunch.org/page/terms","link_id":168,"relation":"undefined"}],"grants":[{"id":6811,"fairsharing_record_id":1118,"organisation_id":990,"relation":"maintains","created_at":"2021-09-30T09:28:14.949Z","updated_at":"2021-09-30T09:28:14.949Z","grant_id":null,"is_lead":true,"saved_state":{"id":990,"name":"FAIR Data Informatics Lab, University of California, San Diego, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1119","type":"fairsharing_records","attributes":{"created_at":"2020-02-13T13:46:06.000Z","updated_at":"2022-07-20T12:45:47.973Z","metadata":{"doi":"10.25504/FAIRsharing.J1aPiC","name":"FAANG metadata analysis specification","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"faang-dcc@ebi.ac.uk"}],"homepage":"https://github.com/FAANG/dcc-metadata/blob/master/docs/faang_analysis_metadata.md","identifier":1119,"description":"The FAANG metadata analysis specification describes the specification for all analysis metadata as part of the larger FAANG metadata guidance project. Analysis metadata needs to contain the following process attributes: input data (a list of files used as input and references to the experiment records in a data archive), reference data (e.g. genome assembly or gene set), and analysis protocol (a precise description of the analysis protocol).","abbreviation":null,"year_creation":2016,"associated_tools":[{"url":"http://www.ebi.ac.uk/vg/faang","name":"FAANG Metadata Validation Tool"}]},"legacy_ids":["bsg-001449","bsg-s001449"],"name":"FAIRsharing record for: FAANG metadata analysis specification","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.J1aPiC","doi":"10.25504/FAIRsharing.J1aPiC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAANG metadata analysis specification describes the specification for all analysis metadata as part of the larger FAANG metadata guidance project. Analysis metadata needs to contain the following process attributes: input data (a list of files used as input and references to the experiment records in a data archive), reference data (e.g. genome assembly or gene set), and analysis protocol (a precise description of the analysis protocol).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Analysis","Protocol","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Whole genome sequencing"],"taxonomies":["Bos taurus","Bubalus bubalis","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[],"licence_links":[{"licence_name":"FAANG Apache License","licence_id":308,"licence_url":"https://github.com/FAANG/validate-metadata/blob/master/LICENSE","link_id":1605,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":1604,"relation":"undefined"}],"grants":[{"id":6812,"fairsharing_record_id":1119,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:14.979Z","updated_at":"2021-09-30T09:28:14.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6813,"fairsharing_record_id":1119,"organisation_id":1069,"relation":"maintains","created_at":"2021-09-30T09:28:15.022Z","updated_at":"2021-09-30T09:28:15.022Z","grant_id":null,"is_lead":true,"saved_state":{"id":1069,"name":"Functional Annotation of Animal Genomes (FAANG) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1124","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2021-11-24T13:14:07.280Z","metadata":{"doi":"10.25504/FAIRsharing.9pm45h","name":"Diabetes Mellitus Diagnosis Ontology","status":"deprecated","contacts":[{"contact_name":"Shaker El-Sappagh","contact_email":"shaker_elsapagh@yahoo.com"}],"homepage":"https://link.springer.com/content/pdf/10.1186/s40535-016-0021-2.pdf","identifier":1124,"description":"An ontology for diagnosis of diabetes containing the diabetes related complications, symptoms, drugs, lab tests, etc.","abbreviation":"DDO","year_creation":2015,"deprecation_date":"2021-03-24","deprecation_reason":"This resource no longer exists in BioPortal, and a project homepage cannot be found."},"legacy_ids":["bsg-000881","bsg-s000881"],"name":"FAIRsharing record for: Diabetes Mellitus Diagnosis Ontology","abbreviation":"DDO","url":"https://fairsharing.org/10.25504/FAIRsharing.9pm45h","doi":"10.25504/FAIRsharing.9pm45h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for diagnosis of diabetes containing the diabetes related complications, symptoms, drugs, lab tests, etc.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Diabetology"],"domains":["Diagnosis","Diabetes mellitus"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Egypt","South Korea"],"publications":[{"id":2329,"pubmed_id":null,"title":"DDO: a diabetes mellitus diagnosis ontology","year":2016,"url":"https://link.springer.com/content/pdf/10.1186/s40535-016-0021-2.pdf","authors":"ShakerEl‑Sappagh and FarmanAli","journal":"Applied Informatics","doi":null,"created_at":"2021-09-30T08:26:45.942Z","updated_at":"2021-09-30T08:26:45.942Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1125","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T10:39:10.000Z","updated_at":"2023-06-02T15:14:58.473Z","metadata":{"doi":"10.25504/FAIRsharing.2QpmkQ","name":"Prehistory and Protohistory Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/905/en/","citations":[],"identifier":1125,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Prehistory and Protohistory\" FRANCIS database (1972-2015). It consists of 3093 entries mainly in 2 languages (English and French) grouped under 107 collections","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001406","bsg-s001406"],"name":"FAIRsharing record for: Prehistory and Protohistory Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2QpmkQ","doi":"10.25504/FAIRsharing.2QpmkQ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Prehistory and Protohistory\" FRANCIS database (1972-2015). It consists of 3093 entries mainly in 2 languages (English and French) grouped under 107 collections","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11291}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Prehistory","Ancient History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Protohistory"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1348,"relation":"undefined"}],"grants":[{"id":6830,"fairsharing_record_id":1125,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:15.569Z","updated_at":"2021-09-30T09:28:15.569Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6829,"fairsharing_record_id":1125,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:15.530Z","updated_at":"2021-09-30T09:28:15.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1126","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T12:43:26.624Z","metadata":{"doi":"10.25504/FAIRsharing.493qns","name":"Platynereis Developmental Stages","status":"in_development","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/developmental-stage-ontologies/tree/master/src/pdumdv","identifier":1126,"description":"Life cycle stages for Platynereis dumerilii. The status of this resource is \"in development\", confirmed via developer remarks within the GitHub project stating that the ontology is not ready.","abbreviation":"PDUMDV","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies","name":"GitHub Main Project site","type":"Github"},{"url":"https://github.com/obophenotype/developmental-stage-ontologies/wiki","name":"Main Project wiki","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDUMDV","name":"PDUMDV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pdumdv.html","name":"pdumdv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000766","bsg-s000766"],"name":"FAIRsharing record for: Platynereis Developmental Stages","abbreviation":"PDUMDV","url":"https://fairsharing.org/10.25504/FAIRsharing.493qns","doi":"10.25504/FAIRsharing.493qns","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Platynereis dumerilii. The status of this resource is \"in development\", confirmed via developer remarks within the GitHub project stating that the ontology is not ready.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science"],"domains":["Life cycle stage"],"taxonomies":["Platynereis dumerilii"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6831,"fairsharing_record_id":1126,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:28:15.601Z","updated_at":"2021-09-30T09:28:15.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1127","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:19:25.000Z","updated_at":"2022-12-13T10:25:45.279Z","metadata":{"doi":"10.25504/FAIRsharing.vVdc4Q","name":"IVOA Web Services Basic Profile","status":"deprecated","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/WSBasicProfile/","citations":[],"identifier":1127,"description":"The IVOA Web Services Basic Profile describes rules to take into account when implementing SOAP-based web services for the Virtual Observatory. It explains also how to check conformance to these rules. It can be read as a \"Guideline to VO Web Service Interoperability\" or a \"How to provide interoperable VO web services\".","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/documents/WSBasicProfile/20101216/REC-Basic-Profile-1.0-20101216.html","name":"View Standard","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2016-10-02","deprecation_reason":"The IVOA Web Services Basic Profile was deprecated in 2016. The reason for the deprecation is because of obsolete technology: the document describes the IVOA recommendation for implementing SOAP (Simple Object Access Protocol) web services. In the IVOA now, SOAP has been replaced with the REST (Representational State Transfer) as the best approach for implementing web services."},"legacy_ids":["bsg-001195","bsg-s001195"],"name":"FAIRsharing record for: IVOA Web Services Basic Profile","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.vVdc4Q","doi":"10.25504/FAIRsharing.vVdc4Q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA Web Services Basic Profile describes rules to take into account when implementing SOAP-based web services for the Virtual Observatory. It explains also how to check conformance to these rules. It can be read as a \"Guideline to VO Web Service Interoperability\" or a \"How to provide interoperable VO web services\".","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11464}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6833,"fairsharing_record_id":1127,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:15.655Z","updated_at":"2021-09-30T09:28:15.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6832,"fairsharing_record_id":1127,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:15.624Z","updated_at":"2021-09-30T09:28:15.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"895","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.388Z","metadata":{"doi":"10.25504/FAIRsharing.zj850n","name":"UniProtKB XML Format","status":"ready","contacts":[{"contact_name":"Uniprot staff","contact_email":"help@uniprot.org"}],"homepage":"http://www.uniprot.org/docs/uniprot.xsd","identifier":895,"description":"XML Schema definition for the UniProtKB XML format.","abbreviation":null,"support_links":[{"url":"http://www.uniprot.org/contact","type":"Contact form"}],"year_creation":2011},"legacy_ids":["bsg-000269","bsg-s000269"],"name":"FAIRsharing record for: UniProtKB XML Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zj850n","doi":"10.25504/FAIRsharing.zj850n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Schema definition for the UniProtKB XML format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6384,"fairsharing_record_id":895,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:27:58.747Z","updated_at":"2021-09-30T09:27:58.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"896","type":"fairsharing_records","attributes":{"created_at":"2018-04-09T18:00:09.000Z","updated_at":"2021-11-24T13:18:20.186Z","metadata":{"doi":"10.25504/FAIRsharing.mrpMBj","name":"Open mHealth","status":"ready","contacts":[{"contact_email":"simona@openmhealth.org"}],"homepage":"http://www.openmhealth.org/documentation/#/schema-docs/schema-library","identifier":896,"description":"Open Standard for Mobile Health Data. This standard is composed of a number of related schemas. Widely-used clinical measures were identified and clinical experts were consulted to identify the most important distinctions for the schemas' clinical use. Use cases were then defined that included these measures in new models of care enabled by mHealth technology. While there isn’t one “correct” schema for any given measure, they aim to offer an ideal format and description of digital health data for supporting clinical and self care.","abbreviation":"Open mHealth","support_links":[{"url":"https://groups.google.com/forum/#!forum/omh-developers","name":"Developer Mailing List","type":"Mailing list"},{"url":"http://www.openmhealth.org/documentation/#/schema-docs/schema-design-principles","name":"Schema Design Principles","type":"Help documentation"}],"year_creation":2015,"associated_tools":[{"url":"https://github.com/openmhealth/schemas","name":"Schema library"},{"url":"https://github.com/openmhealth/shimmer","name":"shimmer"}]},"legacy_ids":["bsg-001170","bsg-s001170"],"name":"FAIRsharing record for: Open mHealth","abbreviation":"Open mHealth","url":"https://fairsharing.org/10.25504/FAIRsharing.mrpMBj","doi":"10.25504/FAIRsharing.mrpMBj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Standard for Mobile Health Data. This standard is composed of a number of related schemas. Widely-used clinical measures were identified and clinical experts were consulted to identify the most important distinctions for the schemas' clinical use. Use cases were then defined that included these measures in new models of care enabled by mHealth technology. While there isn’t one “correct” schema for any given measure, they aim to offer an ideal format and description of digital health data for supporting clinical and self care.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Health Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1273,"relation":"undefined"}],"grants":[{"id":6385,"fairsharing_record_id":896,"organisation_id":2260,"relation":"maintains","created_at":"2021-09-30T09:27:58.786Z","updated_at":"2021-09-30T09:27:58.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":2260,"name":"Open mHealth","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6387,"fairsharing_record_id":896,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:58.855Z","updated_at":"2021-09-30T09:31:28.592Z","grant_id":1186,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"ACI-1640813","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8166,"fairsharing_record_id":896,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:31:17.875Z","updated_at":"2021-09-30T09:31:17.942Z","grant_id":1107,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"1U54EB020404","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6386,"fairsharing_record_id":896,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:27:58.818Z","updated_at":"2021-09-30T09:29:42.595Z","grant_id":369,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"1R24ES028492-01","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"897","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T18:07:10.000Z","updated_at":"2022-07-20T09:33:18.225Z","metadata":{"name":"Structured Vocabulary for information retrieval","status":"deprecated","contacts":[],"homepage":"https://shop.bsigroup.com/products/structured-vocabularies-for-information-retrieval-guide-exchange-formats-and-protocols-for-interoperability/standard","citations":[],"identifier":897,"description":"Structured Vocabulary for information retrieval (DD 8723-5) recommends a standard format for exchange of whole thesauri or subsets thereof. The format is applicable to thesauri that conform to BS 8723-2, utilizing any or all of the optional features described therein. Equally it supports multilingual thesauri displaying structural unity as described in BS 8723-4:2007, 4.2. DD 8723-5 also considers the interaction between a computer application acting as a server for a structured vocabulary (the server) and an application applying that structured vocabulary to a particular information retrieval problem (the client). It considers only the highest level of protocol, and assumes the existence of lower level network services and protocols that will be required to support computer-to-computer communication over a network. This publication is not to be regarded as a British Standard.","abbreviation":"DD 8723-5:2008","year_creation":2005,"deprecation_date":"2022-03-25","deprecation_reason":"This document has been withdrawn by the British Standards Institute, although it is still available to purchase."},"legacy_ids":["bsg-001272","bsg-s001272"],"name":"FAIRsharing record for: Structured Vocabulary for information retrieval","abbreviation":"DD 8723-5:2008","url":"https://fairsharing.org/fairsharing_records/897","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Structured Vocabulary for information retrieval (DD 8723-5) recommends a standard format for exchange of whole thesauri or subsets thereof. The format is applicable to thesauri that conform to BS 8723-2, utilizing any or all of the optional features described therein. Equally it supports multilingual thesauri displaying structural unity as described in BS 8723-4:2007, 4.2. DD 8723-5 also considers the interaction between a computer application acting as a server for a structured vocabulary (the server) and an application applying that structured vocabulary to a particular information retrieval problem (the client). It considers only the highest level of protocol, and assumes the existence of lower level network services and protocols that will be required to support computer-to-computer communication over a network. This publication is not to be regarded as a British Standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":["thesaurus"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6388,"fairsharing_record_id":897,"organisation_id":323,"relation":"maintains","created_at":"2021-09-30T09:27:58.887Z","updated_at":"2022-01-21T12:51:08.371Z","grant_id":null,"is_lead":true,"saved_state":{"id":323,"name":"British Standards Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"898","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.626Z","metadata":{"doi":"10.25504/FAIRsharing.hpmpyx","name":"Cancer Chemoprevention Ontology","status":"ready","contacts":[{"contact_name":"Dimitris Zeginis","contact_email":"zeginis@uom.gr"}],"homepage":"http://bioportal.bioontology.org/ontologies/CANCO","identifier":898,"description":"The Cancer Chemoprevention Ontology constitutes a vocabulary that is able to describe and semantically interconnect the different paradigms of the cancer chemoprevention domain.","abbreviation":"CanCO","support_links":[{"url":"http://www.semantic-web-journal.net/content/collaborative-development-common-semantic-model-interlinking-cancer-chemoprevention-linked-d","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CANCO","name":"CANCO","portal":"BioPortal"}]},"legacy_ids":["bsg-002800","bsg-s002800"],"name":"FAIRsharing record for: Cancer Chemoprevention Ontology","abbreviation":"CanCO","url":"https://fairsharing.org/10.25504/FAIRsharing.hpmpyx","doi":"10.25504/FAIRsharing.hpmpyx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer Chemoprevention Ontology constitutes a vocabulary that is able to describe and semantically interconnect the different paradigms of the cancer chemoprevention domain.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11723}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cheminformatics","Medicine","Health Science","Biomedical Science"],"domains":["Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Greece","Ireland"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"899","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:10:35.311Z","metadata":{"doi":"10.25504/FAIRsharing.b7evv9","name":"MeGO","status":"ready","contacts":[{"contact_name":"Ariane Toussaint","contact_email":"ariane.toussaint@ulb.ac.be"}],"homepage":"http://bioportal.bioontology.org/ontologies/MEGO/?p=summary","citations":[],"identifier":899,"description":"MeGO is dedicated to the functions of mobile genetic elements. The terms defined in MeGO are used to annotate phage and plasmid protein families in ACLAME. MeGO is a non-OBO ontology expanded from the Phage Ontology (PhiGO). ","abbreviation":"MeGO","support_links":[{"url":"http://aclame.ulb.ac.be/Forums/viewtopic.php?f=5\u0026t=2\u0026sid=592cd9a21fcaa003386b065c00b28349","type":"Forum"},{"url":"http://aclame.ulb.ac.be/Classification/mego.html","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEGO","name":"MEGO","portal":"BioPortal"}]},"legacy_ids":["bsg-002578","bsg-s002578"],"name":"FAIRsharing record for: MeGO","abbreviation":"MeGO","url":"https://fairsharing.org/10.25504/FAIRsharing.b7evv9","doi":"10.25504/FAIRsharing.b7evv9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MeGO is dedicated to the functions of mobile genetic elements. The terms defined in MeGO are used to annotate phage and plasmid protein families in ACLAME. MeGO is a non-OBO ontology expanded from the Phage Ontology (PhiGO). ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics"],"domains":["Gene Ontology enrichment","Plasmid","Transcript","Mobile genetic element"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1752,"pubmed_id":15727134,"title":"MEGO: gene functional module expression based on gene ontology.","year":2005,"url":"http://doi.org/10.2144/05382RR04","authors":"Tu K,Yu H,Zhu M","journal":"Biotechniques","doi":"10.2144/05382RR04","created_at":"2021-09-30T08:25:36.646Z","updated_at":"2021-09-30T08:25:36.646Z"}],"licence_links":[],"grants":[{"id":6389,"fairsharing_record_id":899,"organisation_id":1884,"relation":"maintains","created_at":"2021-09-30T09:27:58.973Z","updated_at":"2021-09-30T09:27:58.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":1884,"name":"Mobile genetic elements Ontology (MeGO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"900","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2023-01-03T11:12:51.429Z","metadata":{"doi":"10.25504/FAIRsharing.akmeb9","name":"Vertebrate Taxonomy Ontology","status":"ready","contacts":[{"contact_name":"James Balhoff","contact_email":"balhoff@nescent.org"}],"homepage":"https://gitlab.com/phenoscape/vto","citations":[],"identifier":900,"description":"The Vertebrate Taxonomy Ontology includes both extinct and extant vertebrates, aiming to provide one comprehensive hierarchy. The hierarchy backbone for extant taxa is based on the NCBI taxonomy. Since the NCBI taxonomy only includes species associated with archived genetic data, to complement this, we also incorporate taxonomic information across the vertebrates from the Paleobiology Database (PaleoDB). The Teleost Taxonomy Ontology (TTO) and AmphibiaWeb (AWeb) are incorporated to provide a more authoritative hierarchy and a richer set of names for specific taxonomic groups.","abbreviation":"VTO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VTO","name":"VTO","portal":"BioPortal"}]},"legacy_ids":["bsg-000960","bsg-s000960"],"name":"FAIRsharing record for: Vertebrate Taxonomy Ontology","abbreviation":"VTO","url":"https://fairsharing.org/10.25504/FAIRsharing.akmeb9","doi":"10.25504/FAIRsharing.akmeb9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vertebrate Taxonomy Ontology includes both extinct and extant vertebrates, aiming to provide one comprehensive hierarchy. The hierarchy backbone for extant taxa is based on the NCBI taxonomy. Since the NCBI taxonomy only includes species associated with archived genetic data, to complement this, we also incorporate taxonomic information across the vertebrates from the Paleobiology Database (PaleoDB). The Teleost Taxonomy Ontology (TTO) and AmphibiaWeb (AWeb) are incorporated to provide a more authoritative hierarchy and a richer set of names for specific taxonomic groups.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy"],"domains":["Bone"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"901","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-19T08:36:46.418Z","metadata":{"doi":"10.25504/FAIRsharing.9sdcx8","name":"Multiple Alignment Format","status":"ready","homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format5","identifier":901,"description":"The Multiple Alignment Format stores DNA level multiple alignments in an easily readable format between entire genomes. Unlike previous formats this resource can cope with forward and reverse strand directions, multiple pieces to the alignment, and so forth.","abbreviation":"MFA","support_links":[{"url":"http://genome.ucsc.edu/blog/","type":"Blog/News"},{"url":"http://genome.ucsc.edu/contacts.html","type":"Contact form"}]},"legacy_ids":["bsg-000242","bsg-s000242"],"name":"FAIRsharing record for: Multiple Alignment Format","abbreviation":"MFA","url":"https://fairsharing.org/10.25504/FAIRsharing.9sdcx8","doi":"10.25504/FAIRsharing.9sdcx8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Multiple Alignment Format stores DNA level multiple alignments in an easily readable format between entire genomes. Unlike previous formats this resource can cope with forward and reverse strand directions, multiple pieces to the alignment, and so forth.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12438}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UCSC Genome Browser Code - License required for commercial use","licence_id":801,"licence_url":"http://genome.ucsc.edu/license/","link_id":130,"relation":"undefined"}],"grants":[{"id":6393,"fairsharing_record_id":901,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:59.105Z","updated_at":"2021-09-30T09:27:59.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6390,"fairsharing_record_id":901,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:27:59.010Z","updated_at":"2021-09-30T09:27:59.010Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6392,"fairsharing_record_id":901,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:59.076Z","updated_at":"2021-09-30T09:27:59.076Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10867,"fairsharing_record_id":901,"organisation_id":1118,"relation":"maintains","created_at":"2023-09-18T14:14:33.635Z","updated_at":"2023-09-18T14:14:33.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"875","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:24.627Z","metadata":{"doi":"10.25504/FAIRsharing.pmvppd","name":"Breast tissue cell lines","status":"ready","contacts":[{"contact_name":"Arathi Raghunath","contact_email":"arathi@molecularconnections.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1438","identifier":875,"description":"List of cell lines derived from breast tissue, both normal and pathological. The ontology in built in OWL with cross relation to classes- genetic variation, pathological condition, genes, chemicals and drugs.","abbreviation":"MCBCC","support_links":[{"url":"http://www.molecularconnections.com/?page_id=13442","type":"Contact form"}],"year_creation":2010},"legacy_ids":["bsg-002656","bsg-s002656"],"name":"FAIRsharing record for: Breast tissue cell lines","abbreviation":"MCBCC","url":"https://fairsharing.org/10.25504/FAIRsharing.pmvppd","doi":"10.25504/FAIRsharing.pmvppd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: List of cell lines derived from breast tissue, both normal and pathological. The ontology in built in OWL with cross relation to classes- genetic variation, pathological condition, genes, chemicals and drugs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Cell line","Cell","Genetic polymorphism","Drug interaction","Disease","Tissue","Mammary gland","Chemical-gene association"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":6351,"fairsharing_record_id":875,"organisation_id":1887,"relation":"maintains","created_at":"2021-09-30T09:27:57.512Z","updated_at":"2021-09-30T09:27:57.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":1887,"name":"Molecular Connections, Bangalore, India","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"876","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.578Z","metadata":{"doi":"10.25504/FAIRsharing.mxx5rp","name":"Amphibian gross Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"David Blackburn","contact_email":"david.c.blackburn@gmail.com","contact_orcid":"0000-0002-1810-9886"}],"homepage":"http://bioportal.bioontology.org/ontologies/AAO","identifier":876,"description":"A structured controlled vocabulary of the anatomy of Amphibians. Note that AAO has been integrated into Uberon.","abbreviation":"AAO","year_creation":2005,"deprecation_date":"2015-03-17","deprecation_reason":"Superceded by Uberon (https://fairsharing.org/FAIRsharing.4c0b6b)."},"legacy_ids":["bsg-000019","bsg-s000019"],"name":"FAIRsharing record for: Amphibian gross Anatomy Ontology","abbreviation":"AAO","url":"https://fairsharing.org/10.25504/FAIRsharing.mxx5rp","doi":"10.25504/FAIRsharing.mxx5rp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy of Amphibians. Note that AAO has been integrated into Uberon.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Amphibia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":1200,"pubmed_id":null,"title":"AN ANATOMICAL ONTOLOGY FOR AMPHIBIANS","year":2006,"url":"http://doi.org/10.1142/9789812772435_0035","authors":"ANNE M. MAGLIA, JENNIFER L. LEOPOLD, L. ANALÍA PUGENER, SUSAN GAUCH","journal":"Biocomputing","doi":"10.1142/9789812772435_0035","created_at":"2021-09-30T08:24:33.716Z","updated_at":"2021-09-30T08:24:33.716Z"}],"licence_links":[],"grants":[{"id":6352,"fairsharing_record_id":876,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:57.554Z","updated_at":"2021-09-30T09:32:29.462Z","grant_id":1643,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0445752","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"877","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.156Z","metadata":{"doi":"10.25504/FAIRsharing.nn7bf2","name":"Standard Flowgram Format","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"trace@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/Traces/trace.cgi?cmd=show\u0026f=formats\u0026m=doc\u0026s=format#sff","identifier":877,"description":"Standard flowgram format (SFF) is a binary file format used to encode results of pyrosequencing from the 454 Life Sciences platform for high-throughput sequencing. SFF files can be viewed, edited and converted with DNA Baser SFF Workbench (graphic tool), or converted to FASTQ format with sff2fastq or seq_crumbs.","abbreviation":null},"legacy_ids":["bsg-000263","bsg-s000263"],"name":"FAIRsharing record for: Standard Flowgram Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nn7bf2","doi":"10.25504/FAIRsharing.nn7bf2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard flowgram format (SFF) is a binary file format used to encode results of pyrosequencing from the 454 Life Sciences platform for high-throughput sequencing. SFF files can be viewed, edited and converted with DNA Baser SFF Workbench (graphic tool), or converted to FASTQ format with sff2fastq or seq_crumbs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"878","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.216Z","metadata":{"doi":"10.25504/FAIRsharing.2etax0","name":"INOH Molecule Role","status":"deprecated","contacts":[{"contact_name":"Ken Ichiro Fukuda","contact_email":"fukuda-cbrc@aist.go.jp"}],"homepage":"http://purl.bioontology.org/ontology/IMR","identifier":878,"description":"A structured controlled vocabulary of concrete protein names and generic (abstract) protein names. This ontology is a INOH pathway annotation ontology, one of a set of ontologies intended to be used in pathway data annotation to ease data integration. IMR is part of the BioPAX working group.","abbreviation":"IMR","year_creation":2004,"deprecation_date":"2016-03-09","deprecation_reason":"This resource is no longer maintained and has been listed as deprecated by the OBO Foundry (http://obofoundry.org/ontology/imr.html). Please search BioSharing (for example, https://biosharing.org/search/?q=molecule+role\u0026content=standard) for alternatives."},"legacy_ids":["bsg-000135","bsg-s000135"],"name":"FAIRsharing record for: INOH Molecule Role","abbreviation":"IMR","url":"https://fairsharing.org/10.25504/FAIRsharing.2etax0","doi":"10.25504/FAIRsharing.2etax0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of concrete protein names and generic (abstract) protein names. This ontology is a INOH pathway annotation ontology, one of a set of ontologies intended to be used in pathway data annotation to ease data integration. IMR is part of the BioPAX working group.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States"],"publications":[{"id":981,"pubmed_id":18629146,"title":"The molecule role ontology: an ontology for annotation of signal transduction pathway molecules in the scientific literature.","year":2008,"url":"http://doi.org/10.1002/cfg.432","authors":"Yamamoto S,Asanuma T,Takagi T,Fukuda KI","journal":"Comp Funct Genomics","doi":"10.1002/cfg.432","created_at":"2021-09-30T08:24:08.547Z","updated_at":"2021-09-30T08:24:08.547Z"}],"licence_links":[],"grants":[{"id":6353,"fairsharing_record_id":878,"organisation_id":259,"relation":"maintains","created_at":"2021-09-30T09:27:57.595Z","updated_at":"2021-09-30T09:27:57.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":259,"name":"Biological Pathway Exchange (BioPAX) community","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6354,"fairsharing_record_id":878,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:27:57.633Z","updated_at":"2021-09-30T09:27:57.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"879","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-14T09:58:45.223Z","metadata":{"doi":"10.25504/FAIRsharing.n2y9dd","name":"Nimblegen Design File Format","status":"deprecated","contacts":[],"homepage":"http://mtweb.cs.ucl.ac.uk/mus/mus/binnaz/CNV/NimbleGene/DATA/OID8421-2/Documentation/NimbleGen_data_formats.pdf","citations":[],"identifier":879,"description":"NimbleGen Design File Format is a standard data file format. NimbleGen is now a trademark of Roche.","abbreviation":null,"year_creation":2004,"deprecation_date":"2022-01-13","deprecation_reason":"Roche NimbleGen Design File Format seems to be deprecated on the Roche website. Please get in touch if you have further information."},"legacy_ids":["bsg-000248","bsg-s000248"],"name":"FAIRsharing record for: Nimblegen Design File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.n2y9dd","doi":"10.25504/FAIRsharing.n2y9dd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NimbleGen Design File Format is a standard data file format. NimbleGen is now a trademark of Roche.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12429}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Expression data","Array design"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8724,"fairsharing_record_id":879,"organisation_id":2455,"relation":"maintains","created_at":"2022-01-13T14:53:30.897Z","updated_at":"2022-01-13T14:53:30.897Z","grant_id":null,"is_lead":true,"saved_state":{"id":2455,"name":"Roche","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"888","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-10-10T20:05:27.046Z","metadata":{"doi":"10.25504/FAIRsharing.kkq6pw","name":"Sickle Cell Disease Ontology","status":"ready","contacts":[{"contact_name":"Jade Hotchkiss","contact_email":"giant.plankton@gmail.com"}],"homepage":"http://scdontology.h3abionet.org","citations":[],"identifier":888,"description":"The Sickle Cell Disease Ontology (SCDO) project is a collaboration between H3ABioNet (Pan African Bioinformatics Network) and SPAN (Sickle Cell Disease Pan African Network). The SCDO is currently under development and its purpose is to: 1) establish community standardized SCD terms and descriptions, 2) establish canonical and hierarchical representation of knowledge on SCD, 3) links to other ontologies and bodies of work such as DO, PhenX MeSH, ICD, NCI’s thesaurus, SNOMED and OMIM. ","abbreviation":"SCDO","support_links":[{"url":"https://scdontology.h3abionet.org/index.php/contact-us/","name":"Contact Form","type":"Contact form"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SCDO","name":"SCDO","portal":"BioPortal"}]},"legacy_ids":["bsg-000948","bsg-s000948"],"name":"FAIRsharing record for: Sickle Cell Disease Ontology","abbreviation":"SCDO","url":"https://fairsharing.org/10.25504/FAIRsharing.kkq6pw","doi":"10.25504/FAIRsharing.kkq6pw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sickle Cell Disease Ontology (SCDO) project is a collaboration between H3ABioNet (Pan African Bioinformatics Network) and SPAN (Sickle Cell Disease Pan African Network). The SCDO is currently under development and its purpose is to: 1) establish community standardized SCD terms and descriptions, 2) establish canonical and hierarchical representation of knowledge on SCD, 3) links to other ontologies and bodies of work such as DO, PhenX MeSH, ICD, NCI’s thesaurus, SNOMED and OMIM. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":["sickle cell disease"],"countries":["Worldwide"],"publications":[{"id":3498,"pubmed_id":35363306,"title":"The Sickle Cell Disease Ontology: recent development and expansion of the universal sickle cell knowledge representation.","year":2022,"url":"https://doi.org/10.1093/database/baac014","authors":"Mazandu GK, Hotchkiss J, Nembaware V, Wonkam A, Mulder N","journal":"Database : the journal of biological databases and curation","doi":"10.1093/database/baac014","created_at":"2022-07-29T14:45:00.913Z","updated_at":"2022-07-29T14:45:00.913Z"},{"id":3499,"pubmed_id":33021900,"title":"The Sickle Cell Disease Ontology: Enabling Collaborative Research and Co-Designing of New Planetary Health Applications.","year":2020,"url":"https://doi.org/10.1089/omi.2020.0153","authors":"Nembaware V, Mazandu GK, Hotchkiss J, Safari Serufuri JM, Kent J, Kengne AP, Anie K, Munung NS, Bukini D, Bitoungui VJN, Munube D, Chirwa U, Chunda-Liyoka C, Jonathan A, Flor-Park MV, Esoh KK, Jonas M, Mnika K, Oosterwyk C, Masamu U, Morrice J, Uwineza A, Nguweneza A, Banda K, Nyanor I, Adjei DN, Siebu NE, Nkanyemka M, Kuona P, Tayo BO, Campbell A, Oron AP, Nnodu OE, Painstil V, Makani J, Mulder N, Wonkam A","journal":"Omics : a journal of integrative biology","doi":"10.1089/omi.2020.0153","created_at":"2022-07-29T14:45:12.772Z","updated_at":"2022-07-29T14:45:12.772Z"},{"id":3500,"pubmed_id":31769834,"title":"The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation.","year":2019,"url":"https://doi.org/10.1093/database/baz118","authors":"Sickle Cell Disease Ontology Working Group.","journal":"Database : the journal of biological databases and curation","doi":"10.1093/database/baz118","created_at":"2022-07-29T14:45:29.146Z","updated_at":"2022-07-29T14:45:29.146Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2768,"relation":"applies_to_content"}],"grants":[{"id":9813,"fairsharing_record_id":888,"organisation_id":1207,"relation":"maintains","created_at":"2022-08-17T07:46:50.728Z","updated_at":"2022-08-17T07:46:50.728Z","grant_id":null,"is_lead":false,"saved_state":{"id":1207,"name":"H3ABioNet","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbWtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--69320a8be8ca6a407eaf142714307b4c7e6b5f45/cropped-Screenshot-from-2020-05-23-20-20-32-2.png?disposition=inline","exhaustive_licences":false}},{"id":"890","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:29:34.558Z","metadata":{"doi":"10.25504/FAIRsharing.y3vp4j","name":"Ontology of Language Disorder in Autism","status":"deprecated","contacts":[{"contact_name":"Hari Cohly","contact_email":"hari.cohly@jsums.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1398","citations":[],"identifier":890,"description":"Language terms used in the domain of autism. The language terms were obtained via text mining and automatic retrieval of terms from the corpus of PubMed abstracts.","abbreviation":"LDA","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LDA","name":"LDA","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology has been inactive since 2009, and a suitable alternative homepage cannot be found, therefore we have deprecated this record. Please get in touch with us if you have any information."},"legacy_ids":["bsg-002637","bsg-s002637"],"name":"FAIRsharing record for: Ontology of Language Disorder in Autism","abbreviation":"LDA","url":"https://fairsharing.org/10.25504/FAIRsharing.y3vp4j","doi":"10.25504/FAIRsharing.y3vp4j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Language terms used in the domain of autism. The language terms were obtained via text mining and automatic retrieval of terms from the corpus of PubMed abstracts.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Text mining","Autistic disorder","Language disorder","Natural language processing","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"891","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.300Z","metadata":{"doi":"10.25504/FAIRsharing.mm72as","name":"Interaction Network Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://sourceforge.net/projects/ino/","identifier":891,"description":"The Interaction Network Ontology (INO) aims to standardize interaction network annotation, integrate various interaction network data, and support computer-assisted reasoning. It models general interactions (e.g., molecular interactions) and interaction networks (e.g., Bayesian network). INO is aligned with the Basic Formal Ontology (BFO) and imports terms from 10 other existing ontologies, and includes over 500 terms. In terms of interaction-related terms, INO imports and aligns PSI-MI and GO interaction terms and includes over 100 newly generated ontology terms.","abbreviation":"INO","support_links":[{"url":"https://sourceforge.net/p/ino/mailman/","name":"Mailing list","type":"Mailing list"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/INO","name":"INO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ino.html","name":"ino","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002674","bsg-s002674"],"name":"FAIRsharing record for: Interaction Network Ontology","abbreviation":"INO","url":"https://fairsharing.org/10.25504/FAIRsharing.mm72as","doi":"10.25504/FAIRsharing.mm72as","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Interaction Network Ontology (INO) aims to standardize interaction network annotation, integrate various interaction network data, and support computer-assisted reasoning. It models general interactions (e.g., molecular interactions) and interaction networks (e.g., Bayesian network). INO is aligned with the Basic Formal Ontology (BFO) and imports terms from 10 other existing ontologies, and includes over 500 terms. In terms of interaction-related terms, INO imports and aligns PSI-MI and GO interaction terms and includes over 100 newly generated ontology terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Network model","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Turkey","United States"],"publications":[{"id":1271,"pubmed_id":28031747,"title":"The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature.","year":2016,"url":"http://doi.org/10.1186/s13040-016-0118-0","authors":"Ozgur A,Hur J,He Y","journal":"BioData Min","doi":"10.1186/s13040-016-0118-0","created_at":"2021-09-30T08:24:41.909Z","updated_at":"2021-09-30T08:24:41.909Z"},{"id":1281,"pubmed_id":25785184,"title":"Development and application of an interaction network ontology for literature mining of vaccine-associated gene-gene interactions.","year":2015,"url":"http://doi.org/10.1186/2041-1480-6-2","authors":"Hur J,Ozgur A,Xiang Z,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-6-2","created_at":"2021-09-30T08:24:42.984Z","updated_at":"2021-09-30T08:24:42.984Z"},{"id":1770,"pubmed_id":21624163,"title":"Mining of vaccine-associated IFN-gamma gene interaction networks using the Vaccine Ontology.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-S2-S8","authors":"Ozgur A,Xiang Z,Radev DR,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-S2-S8","created_at":"2021-09-30T08:25:38.594Z","updated_at":"2021-09-30T08:25:38.594Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1617,"relation":"undefined"}],"grants":[{"id":6365,"fairsharing_record_id":891,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:58.055Z","updated_at":"2021-09-30T09:27:58.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6369,"fairsharing_record_id":891,"organisation_id":3095,"relation":"maintains","created_at":"2021-09-30T09:27:58.190Z","updated_at":"2021-09-30T09:27:58.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6366,"fairsharing_record_id":891,"organisation_id":683,"relation":"maintains","created_at":"2021-09-30T09:27:58.096Z","updated_at":"2021-09-30T09:27:58.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":683,"name":"Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6367,"fairsharing_record_id":891,"organisation_id":292,"relation":"maintains","created_at":"2021-09-30T09:27:58.134Z","updated_at":"2021-09-30T09:27:58.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":292,"name":"Bogazici University, Istanbul, Turkey","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6368,"fairsharing_record_id":891,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:58.166Z","updated_at":"2021-09-30T09:29:28.618Z","grant_id":262,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"880","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.503Z","metadata":{"doi":"10.25504/FAIRsharing.7xdxc2","name":"Portable Network Graphics","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"newt@pobox.com"}],"homepage":"http://www.libpng.org/pub/png/","identifier":880,"description":"Portable Network Graphics (PNG) is a raster graphics file format that supports lossless data compression. PNG was created as an improved, non-patented replacement for Graphics Interchange Format (GIF), and is the most used lossless image compression format on the Internet.","abbreviation":null,"support_links":[{"url":"http://www.libpng.org/pub/png/png-sitemap.html#info","type":"Help documentation"}],"year_creation":1995},"legacy_ids":["bsg-000206","bsg-s000206"],"name":"FAIRsharing record for: Portable Network Graphics","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7xdxc2","doi":"10.25504/FAIRsharing.7xdxc2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Portable Network Graphics (PNG) is a raster graphics file format that supports lossless data compression. PNG was created as an improved, non-patented replacement for Graphics Interchange Format (GIF), and is the most used lossless image compression format on the Internet.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"881","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:36.871Z","metadata":{"doi":"10.25504/FAIRsharing.ckg5a2","name":"Minimal Metagenome Sequence Analysis Standard","status":"uncertain","contacts":[{"contact_name":"Jeroen Raes","contact_email":"raes@embl.de"}],"homepage":"http://mibbi.sf.net/projects/MINIMESS.shtml","identifier":881,"description":"A proposed set of minimal standard analyses necessary for proper interpretation of meta-omic data and to allow comparative metagenomics and metatranscriptomics. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"MINIMESS","support_links":[{"url":"https://sourceforge.net/p/mibbi/discussion/661432/","type":"Forum"},{"url":"http://mibbi.sourceforge.net/foundry.shtml","type":"Training documentation"}],"year_creation":2007},"legacy_ids":["bsg-000176","bsg-s000176"],"name":"FAIRsharing record for: Minimal Metagenome Sequence Analysis Standard","abbreviation":"MINIMESS","url":"https://fairsharing.org/10.25504/FAIRsharing.ckg5a2","doi":"10.25504/FAIRsharing.ckg5a2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A proposed set of minimal standard analyses necessary for proper interpretation of meta-omic data and to allow comparative metagenomics and metatranscriptomics. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11573}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Phylogenetics","Biodiversity","Computational Biology","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Data transformation","Metagenome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":855,"pubmed_id":17936679,"title":"Get the most out of your metagenome: computational analysis of environmental sequence data.","year":2007,"url":"http://doi.org/10.1016/j.mib.2007.09.001","authors":"Raes J,Foerstner KU,Bork P","journal":"Curr Opin Microbiol","doi":"10.1016/j.mib.2007.09.001","created_at":"2021-09-30T08:23:54.362Z","updated_at":"2021-09-30T08:23:54.362Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"882","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:29:37.455Z","metadata":{"doi":"10.25504/FAIRsharing.3ftws4","name":"Ontology of Geographical Region","status":"deprecated","contacts":[{"contact_name":"Yu Lin","contact_email":"linyu@cdb.riken.jp"}],"homepage":"http://bioportal.bioontology.org/ontologies/1087","citations":[],"identifier":882,"description":"This OWL ontology classified the geograhical regions related vocabularies extracted from UMLS. It must be used with other two ontologies, in the case of diabetes: the Ontology of Glucose Metabolism Disorder (OGMD) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","abbreviation":"OGR","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGR","name":"OGR","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology's partner ontologies are considered deprecated or inactive by the OBO Foundry, and this ontology has not been updated since 2009. As such we have deprecated this record (https://obofoundry.org/ontology/ogi.html, https://obofoundry.org/ontology/ogsf.html). Please get in touch with us if you have additional information."},"legacy_ids":["bsg-002624","bsg-s002624"],"name":"FAIRsharing record for: Ontology of Geographical Region","abbreviation":"OGR","url":"https://fairsharing.org/10.25504/FAIRsharing.3ftws4","doi":"10.25504/FAIRsharing.3ftws4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This OWL ontology classified the geograhical regions related vocabularies extracted from UMLS. It must be used with other two ontologies, in the case of diabetes: the Ontology of Glucose Metabolism Disorder (OGMD) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science","Biomedical Science"],"domains":["Geographical location","Diabetes mellitus"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"883","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T10:57:37.000Z","updated_at":"2022-02-08T10:53:30.442Z","metadata":{"doi":"10.25504/FAIRsharing.1ece03","name":"COVID-19 Case Record Form","status":"ready","homepage":"https://media.tghn.org/medialibrary/2020/03/ISARIC_COVID-19_CRF_V1.3_24Feb2020.pdf","identifier":883,"description":"The ISARIC-WHO Case Record Form (CRF) should be used to collect data on suspected or confirmed cases of COVID-19. This form is in use across dozens of countries and research consortia including SPRINT SARI, ALERRT and Global CCP, aligning the collection of health data to better characterise the spectrum of disease and optimise patient management. The form is available in multiple languages. Data can be entered electronically to the data platform as below.","abbreviation":"CRF","support_links":[{"url":"https://isaric.tghn.org/contact/","name":"Contact Us","type":"Contact form"}],"year_creation":2020},"legacy_ids":["bsg-001458","bsg-s001458"],"name":"FAIRsharing record for: COVID-19 Case Record Form","abbreviation":"CRF","url":"https://fairsharing.org/10.25504/FAIRsharing.1ece03","doi":"10.25504/FAIRsharing.1ece03","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ISARIC-WHO Case Record Form (CRF) should be used to collect data on suspected or confirmed cases of COVID-19. This form is in use across dozens of countries and research consortia including SPRINT SARI, ALERRT and Global CCP, aligning the collection of health data to better characterise the spectrum of disease and optimise patient management. The form is available in multiple languages. Data can be entered electronically to the data platform as below.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18280},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12286},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12556}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Public Health","Health Science","Global Health","Primary Health Care","Virology","Epidemiology","Medical Informatics"],"domains":["Electronic health record","Patient care"],"taxonomies":["Coronaviridae","Homo sapiens","Viruses"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":112,"relation":"undefined"}],"grants":[{"id":6356,"fairsharing_record_id":883,"organisation_id":1554,"relation":"maintains","created_at":"2021-09-30T09:27:57.741Z","updated_at":"2021-09-30T09:27:57.741Z","grant_id":null,"is_lead":false,"saved_state":{"id":1554,"name":"ISARIC","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"902","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T12:04:33.000Z","updated_at":"2022-02-08T10:53:38.516Z","metadata":{"doi":"10.25504/FAIRsharing.9a51cf","name":"CAPACITY CRF","status":"ready","homepage":"https://capacity-covid.eu/","identifier":902,"description":"An extension of the ISARIC-WHO Case Record Form (CRF) for COVID-19 patient data. This extension collects data regarding the cardiovascular history, diagnostic information and occurrence of cardiovascular complications in COVID-19 patients. By collecting this information in a standardized manner, CAPACITY can aid in providing more insight in (1) the incidence of cardiovascular complications in patients with COVID-19, and (2) the vulnerability and clinical course of COVID-19 in patients with an underlying cardiovascular disease.","abbreviation":"CAPACITY CRF","support_links":[{"url":"https://capacity-covid.eu/contact/","name":"Contact us","type":"Contact form"}],"year_creation":2020},"legacy_ids":["bsg-001459","bsg-s001459"],"name":"FAIRsharing record for: CAPACITY CRF","abbreviation":"CAPACITY CRF","url":"https://fairsharing.org/10.25504/FAIRsharing.9a51cf","doi":"10.25504/FAIRsharing.9a51cf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An extension of the ISARIC-WHO Case Record Form (CRF) for COVID-19 patient data. This extension collects data regarding the cardiovascular history, diagnostic information and occurrence of cardiovascular complications in COVID-19 patients. By collecting this information in a standardized manner, CAPACITY can aid in providing more insight in (1) the incidence of cardiovascular complications in patients with COVID-19, and (2) the vulnerability and clinical course of COVID-19 in patients with an underlying cardiovascular disease.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12287},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12557}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Cardiology","Health Science","Global Health","Virology","Epidemiology","Medical Informatics"],"domains":["Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":6395,"fairsharing_record_id":902,"organisation_id":791,"relation":"maintains","created_at":"2021-09-30T09:27:59.158Z","updated_at":"2021-09-30T09:27:59.158Z","grant_id":null,"is_lead":false,"saved_state":{"id":791,"name":"Dutch Association for Cardiology (NVVC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6398,"fairsharing_record_id":902,"organisation_id":2128,"relation":"maintains","created_at":"2021-09-30T09:27:59.272Z","updated_at":"2021-09-30T09:27:59.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":2128,"name":"Netherlands Heart Institute - Durrer Center","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6394,"fairsharing_record_id":902,"organisation_id":792,"relation":"maintains","created_at":"2021-09-30T09:27:59.134Z","updated_at":"2021-09-30T09:27:59.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":792,"name":"Dutch CardioVascular Alliance (DCVA)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6396,"fairsharing_record_id":902,"organisation_id":798,"relation":"maintains","created_at":"2021-09-30T09:27:59.189Z","updated_at":"2021-09-30T09:27:59.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":798,"name":"Dutch Network for Cardiovascular Research (WCN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6397,"fairsharing_record_id":902,"organisation_id":2129,"relation":"maintains","created_at":"2021-09-30T09:27:59.231Z","updated_at":"2021-09-30T09:27:59.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":2129,"name":"Netherlands Heart Registration (NHR)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6399,"fairsharing_record_id":902,"organisation_id":1211,"relation":"maintains","created_at":"2021-09-30T09:27:59.311Z","updated_at":"2021-09-30T09:27:59.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":1211,"name":"Harteraad","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"903","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:02.241Z","metadata":{"doi":"10.25504/FAIRsharing.vh9jbb","name":"Ontology for Genetic Interval","status":"deprecated","contacts":[{"contact_name":"Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"http://purl.bioontology.org/ontology/OGI","citations":[],"identifier":903,"description":"Using BFO (Basic Formal Ontology) as its upper-level ontology, the Ontology for Genetic Interval (OGI) represents gene as an entity with its 3D shape, topography, and primary DNA sequence as the foundation for its 3D structure. There is no official homepage for this resource, and it is not currently in active development. However, the maintainer has described it as available for use via BioPortal and OBO Foundry.","abbreviation":"OGI","support_links":[{"url":"https://code.google.com/archive/p/ontology-for-genetic-interval/","name":"Google Code Archive","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGI","name":"OGI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogi.html","name":"ogi","portal":"OBO Foundry"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology is considered deprecated by the OBO Foundry and as such we have deprecated this record (https://obofoundry.org/ontology/ogi.html). Please get in touch with us if you have additional information."},"legacy_ids":["bsg-000091","bsg-s000091"],"name":"FAIRsharing record for: Ontology for Genetic Interval","abbreviation":"OGI","url":"https://fairsharing.org/10.25504/FAIRsharing.vh9jbb","doi":"10.25504/FAIRsharing.vh9jbb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Using BFO (Basic Formal Ontology) as its upper-level ontology, the Ontology for Genetic Interval (OGI) represents gene as an entity with its 3D shape, topography, and primary DNA sequence as the foundation for its 3D structure. There is no official homepage for this resource, and it is not currently in active development. However, the maintainer has described it as available for use via BioPortal and OBO Foundry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Life Science"],"domains":["Molecular structure","Nucleic acid sequence","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":131,"relation":"undefined"}],"grants":[{"id":6402,"fairsharing_record_id":903,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:59.432Z","updated_at":"2021-09-30T09:27:59.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6400,"fairsharing_record_id":903,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:27:59.348Z","updated_at":"2021-09-30T09:27:59.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11571,"fairsharing_record_id":903,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:01.680Z","updated_at":"2024-03-21T13:59:02.182Z","grant_id":1272,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"http://www.bioontology.org","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"904","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T18:36:14.000Z","updated_at":"2023-09-29T11:55:01.569Z","metadata":{"doi":"10.25504/FAIRsharing.3c6e67","name":"Language resource management -- Syntactic annotation framework (SynAF) -- Part 1: Syntactic model","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/62508.html","citations":[],"identifier":904,"description":"ISO 24615-1:2014 describes the syntactic annotation framework (SynAF), a high level model for representing the syntactic annotation of linguistic data, with the objective of supporting interoperability across language resources or language processing components. ISO 24615-1:2014 is complementary and closely related to ISO 24611 (MAF, morpho-syntactic annotation framework) and provides a metamodel for syntactic representations as well as reference data categories for representing both constituency and dependency information in sentences or other comparable utterances and segments.","abbreviation":"ISO 24615-1:2014","support_links":[{"url":"https://www.iso.org/contents/data/standard/06/25/62508.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001273","bsg-s001273"],"name":"FAIRsharing record for: Language resource management -- Syntactic annotation framework (SynAF) -- Part 1: Syntactic model","abbreviation":"ISO 24615-1:2014","url":"https://fairsharing.org/10.25504/FAIRsharing.3c6e67","doi":"10.25504/FAIRsharing.3c6e67","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24615-1:2014 describes the syntactic annotation framework (SynAF), a high level model for representing the syntactic annotation of linguistic data, with the objective of supporting interoperability across language resources or language processing components. ISO 24615-1:2014 is complementary and closely related to ISO 24611 (MAF, morpho-syntactic annotation framework) and provides a metamodel for syntactic representations as well as reference data categories for representing both constituency and dependency information in sentences or other comparable utterances and segments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1219,"relation":"undefined"}],"grants":[{"id":6403,"fairsharing_record_id":904,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:27:59.472Z","updated_at":"2021-09-30T09:27:59.472Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10939,"fairsharing_record_id":904,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:48:30.579Z","updated_at":"2023-09-27T14:48:30.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"871","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T20:56:41.000Z","updated_at":"2022-07-20T11:37:22.363Z","metadata":{"doi":"10.25504/FAIRsharing.5e7bdc","name":"World Meteorological Organization Core Metadata Profile","status":"ready","contacts":[{"contact_name":"Peiliang Shi","contact_email":"pshi@wmo.int"}],"homepage":"https://wis.wmo.int/2012/metadata/","citations":[],"identifier":871,"description":"The WMO Core Profile of the 19115:2003 Geographic information – Metadata standard is used by the WMO Information System (WIS) to create a catalogue of all information that is made available through the WIS. Version 1.3 was approved by Executive Council in May 2013. This profile provides a general definition for directory searches and exchange that should be applicable to a wide variety of WMO data sets.","abbreviation":"WMO Core Profile","support_links":[{"url":"https://old.wmo.int/wiswiki/tiki-index.php%3Fpage=WmoCoreMetadata.html","name":"WIS Wiki (Archive)","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-001321","bsg-s001321"],"name":"FAIRsharing record for: World Meteorological Organization Core Metadata Profile","abbreviation":"WMO Core Profile","url":"https://fairsharing.org/10.25504/FAIRsharing.5e7bdc","doi":"10.25504/FAIRsharing.5e7bdc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WMO Core Profile of the 19115:2003 Geographic information – Metadata standard is used by the WMO Information System (WIS) to create a catalogue of all information that is made available through the WIS. Version 1.3 was approved by Executive Council in May 2013. This profile provides a general definition for directory searches and exchange that should be applicable to a wide variety of WMO data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Meteorology","Earth Science","Atmospheric Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"WMO Copyright Notice","licence_id":866,"licence_url":"https://public.wmo.int/en/copyright","link_id":977,"relation":"applies_to_content"}],"grants":[{"id":6331,"fairsharing_record_id":871,"organisation_id":3254,"relation":"maintains","created_at":"2021-09-30T09:27:56.805Z","updated_at":"2021-09-30T09:27:56.805Z","grant_id":null,"is_lead":true,"saved_state":{"id":3254,"name":"World Meteorological Organization (WMO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"872","type":"fairsharing_records","attributes":{"created_at":"2018-03-11T20:24:49.000Z","updated_at":"2022-07-20T11:35:26.671Z","metadata":{"doi":"10.25504/FAIRsharing.f69084","name":"Barley Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_323:ROOT","citations":[],"identifier":872,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Barley Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Its focus is on traits and variable used in field trials for breeding.","abbreviation":"CO_323","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}]},"legacy_ids":["bsg-001138","bsg-s001138"],"name":"FAIRsharing record for: Barley Ontology","abbreviation":"CO_323","url":"https://fairsharing.org/10.25504/FAIRsharing.f69084","doi":"10.25504/FAIRsharing.f69084","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Barley Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Its focus is on traits and variable used in field trials for breeding.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Phenotype"],"taxonomies":["Hordeum vulgare"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":456,"relation":"undefined"}],"grants":[{"id":6333,"fairsharing_record_id":872,"organisation_id":1475,"relation":"maintains","created_at":"2021-09-30T09:27:56.867Z","updated_at":"2021-09-30T09:27:56.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1475,"name":"International Center for Agricultural Research in the Dry Areas (ICARDA), Lebanon","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9302,"fairsharing_record_id":872,"organisation_id":485,"relation":"maintains","created_at":"2022-04-11T12:07:28.960Z","updated_at":"2022-04-11T12:07:28.960Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"873","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-13T08:48:46.009Z","metadata":{"doi":"10.25504/FAIRsharing.nd9ce9","name":"Minimum Information about Plant Phenotyping Experiment","status":"ready","contacts":[{"contact_name":"Paweł Krajewski","contact_email":"miappe-steering@ebi.ac.uk","contact_orcid":"0000-0001-5318-9896"}],"homepage":"http://miappe.org","identifier":873,"description":"MIAPPE is a reporting guideline for plant phenotyping experiments. It comprises a checklist, i.e., a list of attributes to describe an experiment so that it is understandable and replicable. It should be consulted by people recording and depositing plan phenotyping data. MIAPPE covers the description of the following aspects of plant phenotyping experiment: study, environment, experimental design, sample management, biosource, treatment and phenotype. A basic reference implementation of MIAPPE has been proposed for the ISA-Tab format. Other current developments include a Breeding API (BrAPI) implementation.","abbreviation":"MIAPPE","support_links":[{"url":"miappe@ebi.ac.uk","type":"Support email"},{"url":"https://miappe.org","type":"Help documentation"},{"url":"https://www.miappe.org/support/","name":"Latest specifications and support resources","type":"Help documentation"},{"url":"http://cropnet.pl/phenotypes","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/plant-phenotyping-data-managment-miappe","name":"Plant Phenotyping Data managment (MIAPPE)","type":"TeSS links to training materials"}],"associated_tools":[{"url":"http://www.isa-tools.org/","name":"ISA-Tools"}]},"legacy_ids":["bsg-000543","bsg-s000543"],"name":"FAIRsharing record for: Minimum Information about Plant Phenotyping Experiment","abbreviation":"MIAPPE","url":"https://fairsharing.org/10.25504/FAIRsharing.nd9ce9","doi":"10.25504/FAIRsharing.nd9ce9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAPPE is a reporting guideline for plant phenotyping experiments. It comprises a checklist, i.e., a list of attributes to describe an experiment so that it is understandable and replicable. It should be consulted by people recording and depositing plan phenotyping data. MIAPPE covers the description of the following aspects of plant phenotyping experiment: study, environment, experimental design, sample management, biosource, treatment and phenotype. A basic reference implementation of MIAPPE has been proposed for the ISA-Tab format. Other current developments include a Breeding API (BrAPI) implementation.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11866},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12091},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16742}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany"],"domains":["Report","Biological sample","Protocol","Study design","Phenotype","Treatment"],"taxonomies":["Arabidopsis thaliana","Hordeum vulgare","Oryza sativa","Plantae","Populus","Triticum","Viridiplantae","Zea mays"],"user_defined_tags":["Metadata standardization","Plant Phenotypes and Traits"],"countries":["European Union"],"publications":[{"id":1835,"pubmed_id":26044092,"title":"Towards recommendations for metadata and data handling in plant phenotyping.","year":2015,"url":"http://doi.org/10.1093/jxb/erv271","authors":"Krajewski P, Chen D, Cwiek H, van Dijk AD, Fiorani F, Kersey P, Klukas C, Lange M, Markiewicz A, Nap JP, van Oeveren J, Pommier C, Scholz U, van Schriek M, Usadel B, Weise S","journal":"J Exp Bot","doi":"10.1093/jxb/erv271","created_at":"2021-09-30T08:25:46.064Z","updated_at":"2021-09-30T08:25:46.064Z"},{"id":2927,"pubmed_id":null,"title":"Enabling reusability of plant phenomic datasets with MIAPPE 1.1","year":2020,"url":"http://doi.org/https://doi.org/10.1111/nph.16544","authors":"Evangelia A. Papoutsoglou, Daniel Faria, Daniel Arend, [...], Paul J. Kersey, Célia M. Miguel, Anne‐Françoise Adam‐Blondon and Cyril Pommier","journal":"New Phytologist","doi":"https://doi.org/10.1111/nph.16544","created_at":"2021-09-30T08:28:00.476Z","updated_at":"2021-09-30T08:28:00.476Z"},{"id":3092,"pubmed_id":27843484,"title":"Measures for interoperability of phenotypic data: minimum information requirements and formatting","year":2016,"url":"http://doi.org/10.1186/s13007-016-0144-4","authors":"Cwiek-Kupczynska, H.; Altmann, T.; Arend, D.; Arnaud, E.; Chen, D.; Cornut, G.; Fiorani, F.; Frohmberg, W.; Junker, A.; Klukas, C.; Lange, M.; Mazurek, C.; Nafissi, A.; Neveu, P.; van Oeveren, J.; Pommier, C.; [...] ; Kersey, P. Krajewski, P.","journal":"Plant Methods","doi":"10.1186/s13007-016-0144-4","created_at":"2021-09-30T08:28:20.942Z","updated_at":"2021-09-30T08:28:20.942Z"}],"licence_links":[],"grants":[{"id":6338,"fairsharing_record_id":873,"organisation_id":2477,"relation":"maintains","created_at":"2021-09-30T09:27:57.028Z","updated_at":"2021-09-30T09:27:57.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":2477,"name":"RWTH Aachen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6341,"fairsharing_record_id":873,"organisation_id":1436,"relation":"maintains","created_at":"2021-09-30T09:27:57.142Z","updated_at":"2021-09-30T09:27:57.142Z","grant_id":null,"is_lead":false,"saved_state":{"id":1436,"name":"Institute of Plant Genetics, Polish Academy of Sciences (IPG PAS), Pozna_, Poland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6337,"fairsharing_record_id":873,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:27:56.998Z","updated_at":"2021-09-30T09:27:56.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6339,"fairsharing_record_id":873,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:57.067Z","updated_at":"2021-09-30T09:27:57.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6340,"fairsharing_record_id":873,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:57.099Z","updated_at":"2021-09-30T09:27:57.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6342,"fairsharing_record_id":873,"organisation_id":1702,"relation":"maintains","created_at":"2021-09-30T09:27:57.178Z","updated_at":"2021-09-30T09:27:57.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1702,"name":"Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6343,"fairsharing_record_id":873,"organisation_id":1036,"relation":"maintains","created_at":"2021-09-30T09:27:57.220Z","updated_at":"2021-09-30T09:27:57.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":1036,"name":"Forschungszentrum Juelich, Juelich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6334,"fairsharing_record_id":873,"organisation_id":2367,"relation":"funds","created_at":"2021-09-30T09:27:56.898Z","updated_at":"2021-09-30T09:29:11.295Z","grant_id":131,"is_lead":false,"saved_state":{"id":2367,"name":"Programme d'Investissements d'Avenir, National Research Agency (ANR), Paris, France","grant":"ANR-11-INBS-0012","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6344,"fairsharing_record_id":873,"organisation_id":934,"relation":"funds","created_at":"2021-09-30T09:27:57.273Z","updated_at":"2021-09-30T09:31:00.026Z","grant_id":972,"is_lead":false,"saved_state":{"id":934,"name":"European FP7 Research infrastructures","grant":"28443","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8164,"fairsharing_record_id":873,"organisation_id":934,"relation":"funds","created_at":"2021-09-30T09:31:17.059Z","updated_at":"2021-09-30T09:31:17.146Z","grant_id":1101,"is_lead":false,"saved_state":{"id":934,"name":"European FP7 Research infrastructures","grant":"283496","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9256,"fairsharing_record_id":873,"organisation_id":920,"relation":"maintains","created_at":"2022-04-11T12:07:25.751Z","updated_at":"2022-04-11T12:07:25.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9363,"fairsharing_record_id":873,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.217Z","updated_at":"2022-04-11T12:07:33.236Z","grant_id":793,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031A053A/B/C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"874","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:24.548Z","metadata":{"doi":"10.25504/FAIRsharing.mye76w","name":"BioAssay Ontology","status":"ready","contacts":[{"contact_name":"Stephan Schurer","contact_email":"sschurer@med.miami.edu"}],"homepage":"http://bioassayontology.org","identifier":874,"description":"The BioAssay Ontology (BAO) describes chemical biology screening assays and their results including high-throughput screening (HTS) data for the purpose of categorizing assays and data analysis.","abbreviation":"BAO","support_links":[{"url":"https://github.com/BioAssayOntology/BAO/wiki","name":"BAO Life wiki","type":"Github"}],"year_creation":2009,"associated_tools":[{"url":"http://lincsportal.ccs.miami.edu/dcic-portal/","name":"LINCS Data Portal"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BAO","name":"BAO","portal":"BioPortal"}]},"legacy_ids":["bsg-002687","bsg-s002687"],"name":"FAIRsharing record for: BioAssay Ontology","abbreviation":"BAO","url":"https://fairsharing.org/10.25504/FAIRsharing.mye76w","doi":"10.25504/FAIRsharing.mye76w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioAssay Ontology (BAO) describes chemical biology screening assays and their results including high-throughput screening (HTS) data for the purpose of categorizing assays and data analysis.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18256},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10879},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11281},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12025}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Life Science","Biomedical Science"],"domains":["Molecular entity","Chemical entity","Reagent","Cell","Biological process","Assay","Protein","Target"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":978,"pubmed_id":25093074,"title":"Evolving BioAssay Ontology (BAO): modularization, integration and applications.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-S1-S5","authors":"Abeyruwan S,Vempati UD,Kucuk-McGinty H,Visser U,Koleti A,Mir A,Sakurai K,Chung C,Bittker JA,Clemons PA,Brudz S,Siripala A,Morales AJ,Romacker M,Twomey D,Bureeva S,Lemmon V,Schurer SC","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-S1-S5","created_at":"2021-09-30T08:24:08.230Z","updated_at":"2021-09-30T08:24:08.230Z"},{"id":2217,"pubmed_id":10,"title":"Digitoxin metabolism by rat liver microsomes.","year":1975,"url":"https://www.ncbi.nlm.nih.gov/pubmed/10","authors":"Schmoldt A,Benthe HF,Haberland G","journal":"Biochem Pharmacol","doi":"10:1371/journal.pone.0049198","created_at":"2021-09-30T08:26:29.848Z","updated_at":"2021-09-30T08:26:29.848Z"},{"id":2789,"pubmed_id":23155465,"title":"Formalization, annotation and analysis of diverse drug and probe screening assay datasets using the BioAssay Ontology (BAO).","year":2012,"url":"http://doi.org/10.1371/journal.pone.0049198","authors":"Vempati UD,Przydzial MJ,Chung C,Abeyruwan S,Mir A,Sakurai K,Visser U,Lemmon VP,Schurer SC","journal":"PLoS One","doi":"10.1371/journal.pone.0049198","created_at":"2021-09-30T08:27:42.915Z","updated_at":"2021-09-30T08:27:42.915Z"},{"id":2791,"pubmed_id":21702939,"title":"BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-257","authors":"Visser U,Abeyruwan S,Vempati U,Smith RP,Lemmon V,Schurer SC","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-257","created_at":"2021-09-30T08:27:43.197Z","updated_at":"2021-09-30T08:27:43.197Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1247,"relation":"undefined"}],"grants":[{"id":6346,"fairsharing_record_id":874,"organisation_id":165,"relation":"maintains","created_at":"2021-09-30T09:27:57.323Z","updated_at":"2021-09-30T09:27:57.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":165,"name":"BAO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6350,"fairsharing_record_id":874,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:57.475Z","updated_at":"2021-09-30T09:29:20.423Z","grant_id":202,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 HL111561","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8012,"fairsharing_record_id":874,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:22.877Z","updated_at":"2021-09-30T09:30:22.928Z","grant_id":685,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"RC2 HG005668","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6347,"fairsharing_record_id":874,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:57.352Z","updated_at":"2021-09-30T09:27:57.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6348,"fairsharing_record_id":874,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:57.395Z","updated_at":"2021-09-30T09:27:57.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6345,"fairsharing_record_id":874,"organisation_id":2023,"relation":"funds","created_at":"2021-09-30T09:27:57.297Z","updated_at":"2021-09-30T09:29:01.902Z","grant_id":63,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, MD, USA","grant":"R01-NS080145","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6349,"fairsharing_record_id":874,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:57.436Z","updated_at":"2021-09-30T09:28:58.440Z","grant_id":37,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54-HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7950,"fairsharing_record_id":874,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:02.109Z","updated_at":"2021-09-30T09:30:02.156Z","grant_id":523,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1RC2HG00566801","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"892","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-17T06:21:09.083Z","metadata":{"doi":"10.25504/FAIRsharing.kcnjj2","name":"Minimum Information about Flow Cytometry","status":"ready","contacts":[{"contact_name":"Ryan Brinkman","contact_email":"rbrinkman@bccrc.ca"}],"homepage":"http://flowcyt.sourceforge.net/miflowcyt/","citations":[{"doi":"10.1002/cyto.a.20623","pubmed_id":18752282,"publication_id":1813}],"identifier":892,"description":"The Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) establishes criteria for recording and reporting information about the flow cytometry experiment overview, samples, instrumentation and data analysis. It promotes consistent annotation of clinical, biological and technical issues surrounding a flow cytometry experiment by specifying the requirements for data content and by providing a structured framework for capturing information.","abbreviation":"MIFlowCyt","support_links":[{"url":"https://sourceforge.net/p/flowcyt/news/","name":"Flow Cytometry Data Standards / News","type":"Blog/News"},{"url":"https://sourceforge.net/p/flowcyt/discussion/","name":"Discussion","type":"Forum"},{"url":"https://sourceforge.net/projects/flowcyt/","name":"Project Activity","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000521","bsg-s000521"],"name":"FAIRsharing record for: Minimum Information about Flow Cytometry","abbreviation":"MIFlowCyt","url":"https://fairsharing.org/10.25504/FAIRsharing.kcnjj2","doi":"10.25504/FAIRsharing.kcnjj2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) establishes criteria for recording and reporting information about the flow cytometry experiment overview, samples, instrumentation and data analysis. It promotes consistent annotation of clinical, biological and technical issues surrounding a flow cytometry experiment by specifying the requirements for data content and by providing a structured framework for capturing information.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11172},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11597},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12036}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Biomedical Science"],"domains":["Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Canada","United States"],"publications":[{"id":1813,"pubmed_id":18752282,"title":"MIFlowCyt: the minimum information about a Flow Cytometry Experiment","year":2008,"url":"https://doi.org/10.1002/cyto.a.20623","authors":"Lee JA et al.","journal":"Cytometry A","doi":"10.1002/cyto.a.20623","created_at":"2021-09-30T08:25:43.488Z","updated_at":"2023-08-15T20:36:35.351Z"},{"id":1941,"pubmed_id":20737419,"title":"Minimum information about a flow cytometry experiment (MIFlowCyt) checklist (Numbered in accordance with MIFlowCyt 1.0 document)","year":2010,"url":"http://doi.org/10.1002/cyto.a.20941","authors":"MIFlowCyt consortium","journal":"Cytometry A .","doi":"10.1002/cyto.a.20941","created_at":"2021-09-30T08:25:58.445Z","updated_at":"2021-09-30T11:28:28.968Z"}],"licence_links":[],"grants":[{"id":6372,"fairsharing_record_id":892,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:58.276Z","updated_at":"2021-09-30T09:27:58.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6370,"fairsharing_record_id":892,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:58.215Z","updated_at":"2021-09-30T09:30:16.611Z","grant_id":632,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"EB005034","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6371,"fairsharing_record_id":892,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:58.244Z","updated_at":"2021-09-30T09:32:51.388Z","grant_id":1807,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"AI40076","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"893","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T11:30:05.389Z","metadata":{"doi":"10.25504/FAIRsharing.bey51s","name":"Banana Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_125:ROOT","citations":[],"identifier":893,"description":"The Banana Anatomy Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_125","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001122","bsg-s001122"],"name":"FAIRsharing record for: Banana Anatomy Ontology","abbreviation":"CO_125","url":"https://fairsharing.org/10.25504/FAIRsharing.bey51s","doi":"10.25504/FAIRsharing.bey51s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Anatomy Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Plant Anatomy"],"domains":["Food","Phenotype","Morphology"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["France","Mexico"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":256,"relation":"undefined"}],"grants":[{"id":6375,"fairsharing_record_id":893,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:58.393Z","updated_at":"2021-09-30T09:27:58.393Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6373,"fairsharing_record_id":893,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:27:58.313Z","updated_at":"2021-09-30T09:27:58.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6374,"fairsharing_record_id":893,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:27:58.355Z","updated_at":"2021-09-30T09:27:58.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"894","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:17:47.659Z","metadata":{"doi":"10.25504/FAIRsharing.y5jcwa","name":"PhenX Phenotypic Terms","status":"deprecated","contacts":[{"contact_name":"Carol M. Hamilton","contact_email":"chamilton@rti.org"},{"contact_name":"PhenX Team","contact_email":"contact@phenxtoolkit.org","contact_orcid":null}],"homepage":"https://www.phenx.org/","citations":[],"identifier":894,"description":"Standard measures related to complex diseases, phenotypic traits and environmental exposures.","abbreviation":"PhenX","support_links":[{"url":"https://www.phenxtoolkit.org/about/contact-form","name":"contact","type":"Contact form"},{"url":"contact@phenxtoolkit.org","name":"General Contact","type":"Support email"},{"url":"webmaster@phenxtoolkit.org","name":"Site Related Contact:","type":"Support email"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHENX","name":"PHENX","portal":"BioPortal"}],"deprecation_date":"2023-10-04","deprecation_reason":"This resource is no longer available from PhenX. Please see their database record at https://doi.org/10.25504/FAIRsharing.2wa7v7 for more information about this project."},"legacy_ids":["bsg-002818","bsg-s002818"],"name":"FAIRsharing record for: PhenX Phenotypic Terms","abbreviation":"PhenX","url":"https://fairsharing.org/10.25504/FAIRsharing.y5jcwa","doi":"10.25504/FAIRsharing.y5jcwa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard measures related to complex diseases, phenotypic traits and environmental exposures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Life Science","Biomedical Science"],"domains":["Phenotype","Disease","Exposure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1648,"pubmed_id":20154612,"title":"PhenX: a toolkit for interdisciplinary genetics research.","year":2010,"url":"http://doi.org/10.1097/MOL.0b013e3283377395","authors":"Stover PJ,Harlan WR,Hammond JA,Hendershot T,Hamilton CM","journal":"Curr Opin Lipidol","doi":"10.1097/MOL.0b013e3283377395","created_at":"2021-09-30T08:25:24.646Z","updated_at":"2021-09-30T08:25:24.646Z"},{"id":1700,"pubmed_id":21749974,"title":"The PhenX Toolkit: get the most from your measures.","year":2011,"url":"http://doi.org/10.1093/aje/kwr193","authors":"Hamilton CM,Strader LC,Pratt JG,Maiese D,Hendershot T,Kwok RK,Hammond JA,Huggins W,Jackman D,Pan H,Nettles DS,Beaty TH,Farrer LA,Kraft P,Marazita ML,Ordovas JM,Pato CN,Spitz MR,Wagener D,Williams M,Junkins HA,Harlan WR,Ramos EM,Haines J","journal":"Am J Epidemiol","doi":"10.1093/aje/kwr193","created_at":"2021-09-30T08:25:30.504Z","updated_at":"2021-09-30T08:25:30.504Z"},{"id":1701,"pubmed_id":28079902,"title":"PhenX measures for phenotyping rare genetic conditions.","year":2017,"url":"http://doi.org/10.1038/gim.2016.199","authors":"Phillips M,Grant T,Giampietro P,Bodurtha J,Valdez R,Maiese DR,Hendershot T,Terry SF,Hamilton CM","journal":"Genet Med","doi":"10.1038/gim.2016.199","created_at":"2021-09-30T08:25:30.620Z","updated_at":"2021-09-30T08:25:30.620Z"}],"licence_links":[],"grants":[{"id":6377,"fairsharing_record_id":894,"organisation_id":2226,"relation":"funds","created_at":"2021-09-30T09:27:58.469Z","updated_at":"2021-09-30T09:27:58.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":2226,"name":"Office of Behavioral and Social Sciences Research (OBSSR), NIH, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6376,"fairsharing_record_id":894,"organisation_id":2469,"relation":"maintains","created_at":"2021-09-30T09:27:58.430Z","updated_at":"2021-09-30T09:27:58.430Z","grant_id":null,"is_lead":true,"saved_state":{"id":2469,"name":"RTI International","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":6378,"fairsharing_record_id":894,"organisation_id":2030,"relation":"funds","created_at":"2021-09-30T09:27:58.506Z","updated_at":"2021-09-30T09:27:58.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":2030,"name":"National Institute on Minority Health and Health Disparities (NIMHD), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6379,"fairsharing_record_id":894,"organisation_id":2861,"relation":"funds","created_at":"2021-09-30T09:27:58.555Z","updated_at":"2021-09-30T09:27:58.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":2861,"name":"Tobacco Regulatory Science Program, National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6380,"fairsharing_record_id":894,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:58.597Z","updated_at":"2021-09-30T09:27:58.597Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6381,"fairsharing_record_id":894,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:27:58.638Z","updated_at":"2021-09-30T09:27:58.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6382,"fairsharing_record_id":894,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:27:58.677Z","updated_at":"2021-09-30T09:27:58.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6383,"fairsharing_record_id":894,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:58.710Z","updated_at":"2021-09-30T09:32:15.254Z","grant_id":1534,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41HG007050","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"831","type":"fairsharing_records","attributes":{"created_at":"2021-04-29T07:10:22.000Z","updated_at":"2023-12-21T10:09:16.437Z","metadata":{"doi":"10.25504/FAIRsharing.207caf","name":"Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics","status":"ready","contacts":[{"contact_name":"Nils Hoffmann","contact_email":"nils.hoffmann@cebitec.uni-bielefeld.de","contact_orcid":"0000-0002-6540-6875"}],"homepage":"https://github.com/HUPO-PSI/mzTab/tree/master/specification_document-releases/2_0-Metabolomics-Release","citations":[{"doi":"10.1021/acs.analchem.8b04310","pubmed_id":30688441,"publication_id":366},{"doi":"10.5281/zenodo.3361472","pubmed_id":null,"publication_id":4034}],"identifier":831,"description":"Consortia efforts from the Metabolomics Standards Initiative, Proteomics Standards Initiative, and the Metabolomics Society have created mzTab-M to act as a common output format for analytical approaches using MS on small molecules. The intention of this specification, mzTab for Metabolomics (mzTab-M), is to extend the concepts established in the previous specification, so that more detail can be captured about the evidence trail for quantification, including MS features (different charge states or adducts) and the evidence trail for identifications, specifically for MS-based experiments on small molecules (metabolites, lipids, contaminants, etc.). mzTab-M is not formally backwards compatible, but follows a similar design pattern to simplify adaptation of existing software and to facilitate its integration into bioinformatics processing and submission workflows.","abbreviation":"mzTab-M","support_links":[{"url":"https://github.com/lifs-tools/jmzTab-m-webapp","name":"GitHub Project Page","type":"Github"},{"url":"https://hupo-psi.github.io/mzTab/2_0-metabolomics-release/mzTab_format_specification_2_0-M_release.pdf","name":"mzTab-M exchange format for metabolomics results","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001611","bsg-s001611"],"name":"FAIRsharing record for: Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics","abbreviation":"mzTab-M","url":"https://fairsharing.org/10.25504/FAIRsharing.207caf","doi":"10.25504/FAIRsharing.207caf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Consortia efforts from the Metabolomics Standards Initiative, Proteomics Standards Initiative, and the Metabolomics Society have created mzTab-M to act as a common output format for analytical approaches using MS on small molecules. The intention of this specification, mzTab for Metabolomics (mzTab-M), is to extend the concepts established in the previous specification, so that more detail can be captured about the evidence trail for quantification, including MS features (different charge states or adducts) and the evidence trail for identifications, specifically for MS-based experiments on small molecules (metabolites, lipids, contaminants, etc.). mzTab-M is not formally backwards compatible, but follows a similar design pattern to simplify adaptation of existing software and to facilitate its integration into bioinformatics processing and submission workflows.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17758}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Life Science","Metabolomics","Biomedical Science"],"domains":["Mass spectrum","Resource metadata","Experimental measurement","Omics data analysis","Small molecule"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Germany","United Kingdom"],"publications":[{"id":366,"pubmed_id":30688441,"title":"mzTab-M: A Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics","year":2019,"url":"http://doi.org/10.1021/acs.analchem.8b04310","authors":"Nils Hoffmann, Joel Rein, Timo Sachsenberg et al.","journal":"Analytical Chemistry","doi":"10.1021/acs.analchem.8b04310","created_at":"2021-09-30T08:22:59.358Z","updated_at":"2021-09-30T08:22:59.358Z"},{"id":4034,"pubmed_id":null,"title":"mzTab 2.0 for Metabolomics Reader, Writer and Validator","year":2021,"url":"https://zenodo.org/doi/10.5281/zenodo.3361472","authors":"Nils Hoffmann, Ming Wang, SurajV, \u0026 Steffen Neumann","journal":"Zenodo","doi":"10.5281/zenodo.3361472","created_at":"2023-10-23T23:09:46.019Z","updated_at":"2023-10-23T23:11:16.995Z"}],"licence_links":[],"grants":[{"id":6234,"fairsharing_record_id":831,"organisation_id":1822,"relation":"maintains","created_at":"2021-09-30T09:27:53.636Z","updated_at":"2021-09-30T09:27:53.636Z","grant_id":null,"is_lead":true,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6235,"fairsharing_record_id":831,"organisation_id":1721,"relation":"maintains","created_at":"2021-09-30T09:27:53.660Z","updated_at":"2021-09-30T09:27:53.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":1721,"name":"Lipidomics Standards Initiative (LSI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6236,"fairsharing_record_id":831,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:53.686Z","updated_at":"2021-09-30T09:27:53.686Z","grant_id":null,"is_lead":false,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"832","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:16.000Z","updated_at":"2022-07-20T12:48:58.034Z","metadata":{"doi":"10.25504/FAIRsharing.2jkxp5","name":"Rice Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_320:ROOT","citations":[],"identifier":832,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The IBP Rice Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Based on SES, Rice Descriptor and IRIS DB.","abbreviation":"CO_320","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"BorjaFrancesNikki@cgiar.org","name":"Nikki Frances Borja","type":"Support email"},{"url":"j.detras@cgiar.org","name":"Jeffrey A. Detras","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000724","bsg-s000724"],"name":"FAIRsharing record for: Rice Ontology","abbreviation":"CO_320","url":"https://fairsharing.org/10.25504/FAIRsharing.2jkxp5","doi":"10.25504/FAIRsharing.2jkxp5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The IBP Rice Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Based on SES, Rice Descriptor and IRIS DB.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Oryza sativa"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1753,"relation":"undefined"}],"grants":[{"id":6237,"fairsharing_record_id":832,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:53.710Z","updated_at":"2021-09-30T09:27:53.710Z","grant_id":null,"is_lead":true,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"884","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.496Z","metadata":{"doi":"10.25504/FAIRsharing.bf8dsb","name":"MedlinePlus Health Topics","status":"ready","contacts":[{"contact_name":"NLM Customer Service","contact_email":"custserv@nlm.nih.gov"}],"homepage":"http://www.nlm.nih.gov/medlineplus/xmldescription.html","identifier":884,"description":"This resource provides information on the symptoms, causes, treatment and prevention for a wide range of diseases, illnesses, health conditions and wellness issues. MedlinePlus health topics are regularly reviewed, and links are updated daily.","abbreviation":"MEDLINEPLUS","support_links":[{"url":"https://medlineplus.gov/healthtopics.html","name":"Health Topics","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEDLINEPLUS","name":"MEDLINEPLUS","portal":"BioPortal"}]},"legacy_ids":["bsg-002583","bsg-s002583"],"name":"FAIRsharing record for: MedlinePlus Health Topics","abbreviation":"MEDLINEPLUS","url":"https://fairsharing.org/10.25504/FAIRsharing.bf8dsb","doi":"10.25504/FAIRsharing.bf8dsb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource provides information on the symptoms, causes, treatment and prevention for a wide range of diseases, illnesses, health conditions and wellness issues. MedlinePlus health topics are regularly reviewed, and links are updated daily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6357,"fairsharing_record_id":884,"organisation_id":1814,"relation":"maintains","created_at":"2021-09-30T09:27:57.773Z","updated_at":"2021-09-30T09:27:57.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":1814,"name":"MedLinePlus Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6358,"fairsharing_record_id":884,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:57.798Z","updated_at":"2021-09-30T09:27:57.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"885","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:36:30.684Z","metadata":{"doi":"10.25504/FAIRsharing.dq78pn","name":"Clinical Measurement Ontology","status":"ready","contacts":[{"contact_name":"Mary Shimoyama","contact_email":"shimoyama@mcw.edu","contact_orcid":"0000-0003-1176-0796"}],"homepage":"http://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=CMO:0000000","identifier":885,"description":"The Clinical Measurement Ontology is designed to be used to standardize morphological and physiological measurement records generated from clinical and model organism research and health programs.","abbreviation":"CMO","support_links":[{"url":"http://rgd.mcw.edu/contact/index.shtml","name":"RGD Contact Form","type":"Contact form"},{"url":"jrsmith@mcw.edu","name":"Jennifer Smith","type":"Support email"},{"url":"http://sourceforge.net/projects/phenoonto/","name":"Sourceforge Project","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CMO","name":"CMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cmo.html","name":"cmo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002713","bsg-s002713"],"name":"FAIRsharing record for: Clinical Measurement Ontology","abbreviation":"CMO","url":"https://fairsharing.org/10.25504/FAIRsharing.dq78pn","doi":"10.25504/FAIRsharing.dq78pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Clinical Measurement Ontology is designed to be used to standardize morphological and physiological measurement records generated from clinical and model organism research and health programs.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12027},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12462}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Model organism","Electronic health record","Phenotype","Disease"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":891,"pubmed_id":22654893,"title":"Three ontologies to define phenotype measurement data.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00087","authors":"Shimoyama M,Nigam R,McIntosh LS,Nagarajan R,Rice T,Rao DC,Dwinell MR","journal":"Front Genet","doi":"10.3389/fgene.2012.00087","created_at":"2021-09-30T08:23:58.429Z","updated_at":"2021-09-30T08:23:58.429Z"},{"id":1772,"pubmed_id":24103152,"title":"The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-26","authors":"Smith JR,Park CA,Nigam R,Laulederkind SJ,Hayman GT,Wang SJ,Lowry TF,Petri V,Pons JD,Tutaj M,Liu W,Worthey EA,Shimoyama M,Dwinell MR","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-26","created_at":"2021-09-30T08:25:38.805Z","updated_at":"2021-09-30T08:25:38.805Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":269,"relation":"undefined"}],"grants":[{"id":6361,"fairsharing_record_id":885,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:57.925Z","updated_at":"2021-09-30T09:27:57.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6359,"fairsharing_record_id":885,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:57.822Z","updated_at":"2021-09-30T09:29:46.348Z","grant_id":395,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL094286","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6360,"fairsharing_record_id":885,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:27:57.887Z","updated_at":"2021-09-30T09:27:57.887Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7953,"fairsharing_record_id":885,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:03.160Z","updated_at":"2021-09-30T09:30:03.278Z","grant_id":531,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7986,"fairsharing_record_id":885,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:15.744Z","updated_at":"2021-09-30T09:30:15.849Z","grant_id":626,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL064541","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"887","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.563Z","metadata":{"doi":"10.25504/FAIRsharing.mtvxae","name":"Family Health History Ontology","status":"uncertain","contacts":[{"contact_name":"Jane Peace","contact_email":"jpeace@unc.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1126","identifier":887,"description":"The FHHO facilitates representing the family health histories of persons related by biological and/or social family relationships (e.g. step, adoptive) who share genetic, behavioral, and/or environmental risk factors for disease. SWRL rules are included to compute 3 generations of biological relationships based on parentage and family history findings based on personal health findings.","abbreviation":"FHHO","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FHHO","name":"FHHO","portal":"BioPortal"}]},"legacy_ids":["bsg-002580","bsg-s002580"],"name":"FAIRsharing record for: Family Health History Ontology","abbreviation":"FHHO","url":"https://fairsharing.org/10.25504/FAIRsharing.mtvxae","doi":"10.25504/FAIRsharing.mtvxae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FHHO facilitates representing the family health histories of persons related by biological and/or social family relationships (e.g. step, adoptive) who share genetic, behavioral, and/or environmental risk factors for disease. SWRL rules are included to compute 3 generations of biological relationships based on parentage and family history findings based on personal health findings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Human Genetics","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6362,"fairsharing_record_id":887,"organisation_id":310,"relation":"maintains","created_at":"2021-09-30T09:27:57.958Z","updated_at":"2021-09-30T09:27:57.958Z","grant_id":null,"is_lead":false,"saved_state":{"id":310,"name":"Brennan Healthsystems Lab, Madison, WI, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"906","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:47.107Z","metadata":{"doi":"10.25504/FAIRsharing.6s2sfz","name":"BioTop","status":"ready","contacts":[{"contact_name":"Stefan Schulz","contact_email":"stefan.schulz@medunigraz.at"}],"homepage":"http://biotopontology.github.io/","identifier":906,"description":"A top-domain ontology that provides definitions for the foundational entities of biomedicine as a basic vocabulary to unambiguously describe facts in this domain. This ontology is no longer maintained, as it duplicated much of the content in other ontologies. Though not maintained, this ontology remains available for use. The currently maintained version is BioTopLite 2 (BTL2).","abbreviation":"BT","support_links":[{"url":"https://github.com/BioTopOntology/biotop/issues","name":"GitHub forum","type":"Github"},{"url":"https://groups.google.com/forum/#!forum/biotop","name":"Google group forum","type":"Forum"},{"url":"https://github.com/BioTopOntology/biotop","name":"GitHub repository","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BT","name":"BT","portal":"BioPortal"}]},"legacy_ids":["bsg-002575","bsg-s002575"],"name":"FAIRsharing record for: BioTop","abbreviation":"BT","url":"https://fairsharing.org/10.25504/FAIRsharing.6s2sfz","doi":"10.25504/FAIRsharing.6s2sfz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A top-domain ontology that provides definitions for the foundational entities of biomedicine as a basic vocabulary to unambiguously describe facts in this domain. This ontology is no longer maintained, as it duplicated much of the content in other ontologies. Though not maintained, this ontology remains available for use. The currently maintained version is BioTopLite 2 (BTL2).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":990,"pubmed_id":null,"title":"BioTopLite: An Upper Level Ontology for the Life Sciences. Evolution, Design and Application","year":2013,"url":"http://biotopontology.github.io/papers/Schulz,%20Boeker%20-%202013%20-%20BioTopLite%20An%20Upper%20Level%20Ontology%20for%20the%20Life%20Sciences.%20Evolution,%20Design%20and%20Application.pdf","authors":"Stefan Schulz, Martin Boeker","journal":"Furbach U, Staab S, eds. Informatik 2013. Koblenz: IOS Press; 2013.","doi":null,"created_at":"2021-09-30T08:24:09.580Z","updated_at":"2021-09-30T08:24:09.580Z"},{"id":1881,"pubmed_id":19478019,"title":"Alignment of the UMLS semantic network with BioTop: methodology and assessment.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp194","authors":"Schulz S,Beisswanger E,van den Hoek L,Bodenreider O,van Mulligen EM","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp194","created_at":"2021-09-30T08:25:51.607Z","updated_at":"2021-09-30T08:25:51.607Z"}],"licence_links":[],"grants":[{"id":6407,"fairsharing_record_id":906,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:59.630Z","updated_at":"2021-09-30T09:29:17.427Z","grant_id":179,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"JA 1904/2-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7910,"fairsharing_record_id":906,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:29:39.710Z","updated_at":"2021-09-30T09:29:39.761Z","grant_id":348,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"SCHU 2515/1-1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"907","type":"fairsharing_records","attributes":{"created_at":"2017-07-26T09:50:38.000Z","updated_at":"2022-07-20T12:14:34.111Z","metadata":{"doi":"10.25504/FAIRsharing.zcjkc7","name":"Standard for Documentation of Astronomical Catalogues","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"cds-question@unistra.fr"}],"homepage":"http://cds.u-strasbg.fr/doc/catstd.htx","identifier":907,"description":"A set of conventions for archiving astronomical data. As well as path, filename and data format conventions, the key file is a plain text description file, including all the necessary metadata information related to the catalogue: author(s), reference(s) of the related published papers, brief summary, scientific keys, caption and accurate description of each table of the catalogue.","abbreviation":"SDAC","support_links":[{"url":"http://cds.u-strasbg.fr/doc/catstd.pdf","name":"SDAC Documentation (pdf)","type":"Help documentation"}],"year_creation":1994},"legacy_ids":["bsg-000713","bsg-s000713"],"name":"FAIRsharing record for: Standard for Documentation of Astronomical Catalogues","abbreviation":"SDAC","url":"https://fairsharing.org/10.25504/FAIRsharing.zcjkc7","doi":"10.25504/FAIRsharing.zcjkc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A set of conventions for archiving astronomical data. As well as path, filename and data format conventions, the key file is a plain text description file, including all the necessary metadata information related to the catalogue: author(s), reference(s) of the related published papers, brief summary, scientific keys, caption and accurate description of each table of the catalogue.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":6410,"fairsharing_record_id":907,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:27:59.743Z","updated_at":"2021-09-30T09:27:59.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6409,"fairsharing_record_id":907,"organisation_id":450,"relation":"maintains","created_at":"2021-09-30T09:27:59.711Z","updated_at":"2021-09-30T09:27:59.711Z","grant_id":null,"is_lead":false,"saved_state":{"id":450,"name":"Centre de Donnes astronomiques de Strasbourg (CDS), Strasbourg, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6411,"fairsharing_record_id":907,"organisation_id":2988,"relation":"maintains","created_at":"2021-09-30T09:27:59.771Z","updated_at":"2021-09-30T09:27:59.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":2988,"name":"Universite de Strasbourg, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"908","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2023-03-15T08:09:20.153Z","metadata":{"doi":"10.25504/FAIRsharing.vb7991","name":"Ontology of Genes and Genomes - Mouse","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://bitbucket.org/hegroup/ogg-mm","citations":[],"identifier":908,"description":"OGG-Mm is the OGG Mus musculus (mouse) subset. The OGG (Ontology of Genes and Genomes) is a formal ontology of genes and genomes of biological organisms. OGG is developed by following OBO Foundry principles and aligning with the BFO top-level ontology.","abbreviation":"OGG-MM","support_links":[{"url":"https://bitbucket.org/hegroup/ogg-mouse/issues/","name":"Bitbucket Issue Tracker","type":"Forum"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGG-MM","name":"OGG-MM","portal":"BioPortal"}]},"legacy_ids":["bsg-000992","bsg-s000992"],"name":"FAIRsharing record for: Ontology of Genes and Genomes - Mouse","abbreviation":"OGG-MM","url":"https://fairsharing.org/10.25504/FAIRsharing.vb7991","doi":"10.25504/FAIRsharing.vb7991","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OGG-Mm is the OGG Mus musculus (mouse) subset. The OGG (Ontology of Genes and Genomes) is a formal ontology of genes and genomes of biological organisms. OGG is developed by following OBO Foundry principles and aligning with the BFO top-level ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Gene","Genome"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6412,"fairsharing_record_id":908,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:59.802Z","updated_at":"2021-09-30T09:27:59.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"909","type":"fairsharing_records","attributes":{"created_at":"2015-02-02T18:10:08.000Z","updated_at":"2021-11-24T13:13:53.690Z","metadata":{"doi":"10.25504/FAIRsharing.s248mf","name":"W3C HCLS Dataset Description","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com","contact_orcid":"0000-0003-4727-9435"}],"homepage":"http://www.w3.org/TR/hcls-dataset/","identifier":909,"description":"Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. This document describes a consensus among participating stakeholders in the Health Care and the Life Sciences domain on the description of datasets using the Resource Description Framework (RDF). This specification meets key functional requirements, reuses existing vocabularies to the extent that it is possible, and addresses elements of data description, versioning, provenance, discovery, exchange, query, and retrieval.","abbreviation":null,"support_links":[{"url":"http://www.w3.org/Help/","type":"Help documentation"},{"url":"http://www.w3.org/TR/hcls-dataset/","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000579","bsg-s000579"],"name":"FAIRsharing record for: W3C HCLS Dataset Description","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.s248mf","doi":"10.25504/FAIRsharing.s248mf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. This document describes a consensus among participating stakeholders in the Health Care and the Life Sciences domain on the description of datasets using the Resource Description Framework (RDF). This specification meets key functional requirements, reuses existing vocabularies to the extent that it is possible, and addresses elements of data description, versioning, provenance, discovery, exchange, query, and retrieval.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11205}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Life Science","Biomedical Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Bulgaria","Canada","Japan","Netherlands","Switzerland","United Kingdom","United States"],"publications":[{"id":2144,"pubmed_id":27602295,"title":"The health care and life sciences community profile for dataset descriptions.","year":2016,"url":"http://doi.org/10.7717/peerj.2331","authors":"Dumontier M. et al.","journal":"PeerJ","doi":"10.7717/peerj.2331","created_at":"2021-09-30T08:26:21.666Z","updated_at":"2021-09-30T08:26:21.666Z"}],"licence_links":[],"grants":[{"id":6414,"fairsharing_record_id":909,"organisation_id":952,"relation":"maintains","created_at":"2021-09-30T09:27:59.886Z","updated_at":"2021-09-30T09:27:59.886Z","grant_id":null,"is_lead":false,"saved_state":{"id":952,"name":"European Research Consortium for Informatics and Mathematics","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6416,"fairsharing_record_id":909,"organisation_id":188,"relation":"maintains","created_at":"2021-09-30T09:27:59.952Z","updated_at":"2021-09-30T09:27:59.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":188,"name":"Beihang University, Beihang, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6419,"fairsharing_record_id":909,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:00.071Z","updated_at":"2021-09-30T09:28:00.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6415,"fairsharing_record_id":909,"organisation_id":1631,"relation":"maintains","created_at":"2021-09-30T09:27:59.921Z","updated_at":"2021-09-30T09:27:59.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":1631,"name":"Keio University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6417,"fairsharing_record_id":909,"organisation_id":589,"relation":"maintains","created_at":"2021-09-30T09:27:59.990Z","updated_at":"2021-09-30T09:27:59.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":589,"name":"Computer Science and Artificial Intelligence Laboratory, Massacheusetts Institute of Technology, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6418,"fairsharing_record_id":909,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:00.032Z","updated_at":"2021-09-30T09:28:00.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6420,"fairsharing_record_id":909,"organisation_id":3207,"relation":"maintains","created_at":"2021-09-30T09:28:00.102Z","updated_at":"2021-09-30T09:28:00.102Z","grant_id":null,"is_lead":false,"saved_state":{"id":3207,"name":"W3C Semantic Web for Health Care and Life Sciences Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6413,"fairsharing_record_id":909,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:59.848Z","updated_at":"2021-09-30T09:31:20.653Z","grant_id":1127,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 HG008033-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"912","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T15:26:35.000Z","updated_at":"2022-02-08T10:35:36.223Z","metadata":{"doi":"10.25504/FAIRsharing.81f1d3","name":"JavaScript Object Notation for Simple Knowledge Organization Systems","status":"ready","contacts":[{"contact_name":"Jakob Voss","contact_email":"voss@gbv.de"}],"homepage":"http://gbv.github.io/jskos/","identifier":912,"description":"JSKOS (JavaScript Object Notation for Simple Knowledge Organization Systems) defines a JavaScript Object Notation (JSON) structure to encode knowledge organization systems (KOS), such as classifications, thesauri, and authority files. JSKOS supports encoding of concepts, concept schemes, concept occurrences, and concept mappings with their common properties. It further defines application profiles for registries, distributions, and annotations. The main part of JSKOS is compatible with Simple Knowledge Organisation System (SKOS) and JavaScript Object Notation for Linked Data (JSON-LD) but JSKOS can be used without having to be experienced in any of these technologies. A simple JSKOS document can be mapped to SKOS expressed in the Resource Description Framework (RDF), and vice versa. JSKOS further supports closed world statements to express incomplete information about knowledge organization systems to facilitate use in dynamic web applications.","abbreviation":"JSKOS","support_links":[{"url":"coli-conc@gbv.de","name":"General Contact","type":"Support email"},{"url":"https://github.com/gbv/jskos","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/coli_conc","name":"@coli_conc","type":"Twitter"}],"year_creation":2019},"legacy_ids":["bsg-001563","bsg-s001563"],"name":"FAIRsharing record for: JavaScript Object Notation for Simple Knowledge Organization Systems","abbreviation":"JSKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.81f1d3","doi":"10.25504/FAIRsharing.81f1d3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JSKOS (JavaScript Object Notation for Simple Knowledge Organization Systems) defines a JavaScript Object Notation (JSON) structure to encode knowledge organization systems (KOS), such as classifications, thesauri, and authority files. JSKOS supports encoding of concepts, concept schemes, concept occurrences, and concept mappings with their common properties. It further defines application profiles for registries, distributions, and annotations. The main part of JSKOS is compatible with Simple Knowledge Organisation System (SKOS) and JavaScript Object Notation for Linked Data (JSON-LD) but JSKOS can be used without having to be experienced in any of these technologies. A simple JSKOS document can be mapped to SKOS expressed in the Resource Description Framework (RDF), and vice versa. JSKOS further supports closed world statements to express incomplete information about knowledge organization systems to facilitate use in dynamic web applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":6422,"fairsharing_record_id":912,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:28:00.216Z","updated_at":"2021-09-30T09:28:00.216Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6423,"fairsharing_record_id":912,"organisation_id":550,"relation":"maintains","created_at":"2021-09-30T09:28:00.253Z","updated_at":"2021-09-30T09:28:00.253Z","grant_id":null,"is_lead":true,"saved_state":{"id":550,"name":"coli-conc Project, Verbundzentrale des GBV (VZG), Gottingen, Germany","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"913","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2021-11-24T13:15:48.550Z","metadata":{"doi":"10.25504/FAIRsharing.d1zzym","name":"Ethnicity Ontology","status":"ready","contacts":[{"contact_name":"Harshana Liyanage","contact_email":"harshana.liyanage@phc.ox.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/EO","identifier":913,"description":"The Ethnicity Ontology (EO) has been developed by extending BFO to have a common reference for ethnicity concepts for semantic integration of datasets. It attempts to utilise iterated proxy markers for ethnicity such language spoken and interpreter requirements in order to support health care research studies.","abbreviation":"EO","support_links":[{"url":"simon.delusignan@phc.ox.ac.uk","name":"Simon de Lusignan","type":"Support email"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EO","name":"EO","portal":"BioPortal"}]},"legacy_ids":["bsg-000997","bsg-s000997"],"name":"FAIRsharing record for: Ethnicity Ontology","abbreviation":"EO","url":"https://fairsharing.org/10.25504/FAIRsharing.d1zzym","doi":"10.25504/FAIRsharing.d1zzym","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ethnicity Ontology (EO) has been developed by extending BFO to have a common reference for ethnicity concepts for semantic integration of datasets. It attempts to utilise iterated proxy markers for ethnicity such language spoken and interpreter requirements in order to support health care research studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12528}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Social Anthropology","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Language"],"countries":["United Kingdom"],"publications":[{"id":2707,"pubmed_id":28346128,"title":"Ethnicity Recording in Primary Care Computerised Medical Record Systems: An Ontological Approach.","year":2017,"url":"http://doi.org/10.14236/jhi.v23i4.920","authors":"Tippu Z,Correa A,Liyanage H,Burleigh D,McGovern A,Van Vlymen J,Jones S,De Lusignan S","journal":"J Innov Health Inform","doi":"10.14236/jhi.v23i4.920","created_at":"2021-09-30T08:27:32.470Z","updated_at":"2021-09-30T08:27:32.470Z"}],"licence_links":[],"grants":[{"id":6424,"fairsharing_record_id":913,"organisation_id":541,"relation":"maintains","created_at":"2021-09-30T09:28:00.285Z","updated_at":"2021-09-30T09:28:00.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":541,"name":"Clinical Informatics \u0026 Health Outcomes Research Group, University of Surrey, UK","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"925","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T11:47:55.654Z","metadata":{"doi":"10.25504/FAIRsharing.eeyne8","name":"Maize Ontology","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_322:ROOT","citations":[],"identifier":925,"description":"The Maize Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_322","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Help documentation"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001108","bsg-s001108"],"name":"FAIRsharing record for: Maize Ontology","abbreviation":"CO_322","url":"https://fairsharing.org/10.25504/FAIRsharing.eeyne8","doi":"10.25504/FAIRsharing.eeyne8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Maize Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Zea mays"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":792,"relation":"undefined"}],"grants":[{"id":6447,"fairsharing_record_id":925,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:01.233Z","updated_at":"2021-09-30T09:28:01.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6446,"fairsharing_record_id":925,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:28:01.149Z","updated_at":"2021-09-30T09:28:01.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"926","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T12:58:36.000Z","updated_at":"2022-02-08T10:49:56.043Z","metadata":{"doi":"10.25504/FAIRsharing.0c89ff","name":"Translation Memory eXchange","status":"ready","contacts":[{"contact_name":"Yves Savourel","contact_email":"ysavourel@translate.com"}],"homepage":"https://www.gala-global.org/tmx-14b","citations":[],"identifier":926,"description":"Translation Memory eXchange (TMX) is an XML based standard which describes translation memory data that is being exchanged among tools and/or translation vendors, while introducing little or no loss of critical data during the process.","abbreviation":"TMX","support_links":[{"url":"https://en.wikipedia.org/wiki/Translation_Memory_eXchange","name":"TMX Wikipedia Page","type":"Wikipedia"}],"year_creation":2005},"legacy_ids":["bsg-001280","bsg-s001280"],"name":"FAIRsharing record for: Translation Memory eXchange","abbreviation":"TMX","url":"https://fairsharing.org/10.25504/FAIRsharing.0c89ff","doi":"10.25504/FAIRsharing.0c89ff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Translation Memory eXchange (TMX) is an XML based standard which describes translation memory data that is being exchanged among tools and/or translation vendors, while introducing little or no loss of critical data during the process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":460,"relation":"undefined"}],"grants":[{"id":6448,"fairsharing_record_id":926,"organisation_id":1174,"relation":"maintains","created_at":"2021-09-30T09:28:01.276Z","updated_at":"2021-09-30T09:28:01.276Z","grant_id":null,"is_lead":true,"saved_state":{"id":1174,"name":"Globalization and Localization Association (GALA), Seattle, Washington, United States","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"927","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2024-06-21T16:29:54.633Z","metadata":{"doi":"10.25504/FAIRsharing.jprvcd","name":"Stroke Scale Ontology","status":"ready","contacts":[{"contact_name":"Petr Vcelak","contact_email":"vcelak@kiv.zcu.cz"}],"homepage":"http://bioportal.bioontology.org/ontologies/NIHSS","citations":[],"identifier":927,"description":"Domain ontology for describing the standardized neurological examination of stroke patients according to the National Institutes of Health Stroke Scale (NIHSS). The ontology is intended for describing the assessment of a patient after a stroke. A patient with more limitations is evaluated with more points (worse condition). An evaluation (score) with a value of 0 (zero) indicates a normal state.","abbreviation":"nihss","year_creation":2014,"associated_tools":[{"url":"https://mre.zcu.cz/metamed/","name":"MetaMed"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIHSS","name":"NIHSS","portal":"BioPortal"},{"url":"https://mre.zcu.cz/ontology/nihss.owl","name":"NIHSS Ontology","portal":"Other"},{"url":"https://mre.zcu.cz/ontology/nihss","name":"NIHSS Ontology documentation","portal":"Other"}]},"legacy_ids":["bsg-000816","bsg-s000816"],"name":"FAIRsharing record for: Stroke Scale Ontology","abbreviation":"nihss","url":"https://fairsharing.org/10.25504/FAIRsharing.jprvcd","doi":"10.25504/FAIRsharing.jprvcd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Domain ontology for describing the standardized neurological examination of stroke patients according to the National Institutes of Health Stroke Scale (NIHSS). The ontology is intended for describing the assessment of a patient after a stroke. A patient with more limitations is evaluated with more points (worse condition). An evaluation (score) with a value of 0 (zero) indicates a normal state.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Neuroscience"],"domains":["Cardiovascular disease"],"taxonomies":["All"],"user_defined_tags":["stroke"],"countries":["Czech Republic"],"publications":[],"licence_links":[],"grants":[{"id":11265,"fairsharing_record_id":927,"organisation_id":2023,"relation":"associated_with","created_at":"2024-02-05T09:41:39.939Z","updated_at":"2024-02-05T09:41:39.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","types":["Research institute"],"is_lead":false,"relation":"associated_with"}},{"id":11266,"fairsharing_record_id":927,"organisation_id":4228,"relation":"associated_with","created_at":"2024-02-05T09:41:39.939Z","updated_at":"2024-02-05T09:41:39.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":4228,"name":"Faculty of Applied Sciences West Bohemia","types":["Research institute"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"928","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:19:06.487Z","metadata":{"doi":"10.25504/FAIRsharing.z656ab","name":"Dictyostelium Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Pascale Gaudet","contact_email":"pgaudet@northwestern.edu","contact_orcid":"0000-0003-1813-6857"}],"homepage":"http://dictybase.org/Dicty_Info/dicty_anatomy_ontology.html","identifier":928,"description":"The Dictyostelium Anatomy Ontology ontology describes the anatomy of the slime mold. It defines the structural makeup of Dictyostelium and its composing parts including the different cell types, throughout its life cycle. It has two main goals: (1) promote the consistent annotation of Dictyostelium-specific events, such as phenotypes and gene expression information; and (2) encourage researchers to use the same terms with the same intended meaning.","abbreviation":"DDANAT","support_links":[{"url":"http://dictybase.org/db/cgi-bin/dictyBase/suggestion","name":"Suggestion and Contact Form","type":"Contact form"},{"url":"dictybase@northwestern.edu","name":"General contact","type":"Support email"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDANAT","name":"DDANAT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ddanat.html","name":"ddanat","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000024","bsg-s000024"],"name":"FAIRsharing record for: Dictyostelium Anatomy Ontology","abbreviation":"DDANAT","url":"https://fairsharing.org/10.25504/FAIRsharing.z656ab","doi":"10.25504/FAIRsharing.z656ab","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dictyostelium Anatomy Ontology ontology describes the anatomy of the slime mold. It defines the structural makeup of Dictyostelium and its composing parts including the different cell types, throughout its life cycle. It has two main goals: (1) promote the consistent annotation of Dictyostelium-specific events, such as phenotypes and gene expression information; and (2) encourage researchers to use the same terms with the same intended meaning.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell"],"taxonomies":["Dictyostelium discoideum","Dictyostelium fasciculatum","Dictyostelium purpureum","Polysphondylium pallidum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2135,"pubmed_id":18366659,"title":"An anatomy ontology to represent biological knowledge in Dictyostelium discoideum.","year":2008,"url":"http://doi.org/10.1186/1471-2164-9-130","authors":"Gaudet P,Williams JG,Fey P,Chisholm RL","journal":"BMC Genomics","doi":"10.1186/1471-2164-9-130","created_at":"2021-09-30T08:26:20.725Z","updated_at":"2021-09-30T08:26:20.725Z"}],"licence_links":[],"grants":[{"id":6450,"fairsharing_record_id":928,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:01.336Z","updated_at":"2021-09-30T09:28:01.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6451,"fairsharing_record_id":928,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:28:01.365Z","updated_at":"2021-09-30T09:28:01.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6452,"fairsharing_record_id":928,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:01.416Z","updated_at":"2021-09-30T09:29:22.560Z","grant_id":219,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG00022","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6449,"fairsharing_record_id":928,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:01.307Z","updated_at":"2021-09-30T09:29:46.110Z","grant_id":393,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM64426","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"919","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:10:12.301Z","metadata":{"doi":"10.25504/FAIRsharing.azqskx","name":"Environment Ontology","status":"ready","contacts":[{"contact_name":"Pier Luigi Buttigieg","contact_email":"p.buttigieg@googlemail.com"}],"homepage":"http://environmentontology.org/","citations":[{"doi":"10.1186/2041-1480-4-43","pubmed_id":24330602,"publication_id":1656}],"identifier":919,"description":"The Environment Ontology (EnvO) provides a controlled, structured vocabulary that is designed to support the annotation of any organism or biological sample with environment descriptors. EnvO contains terms ranging from astronomical objects, through planetary scale biomes, to nanomaterials. Further, these terms are interlinked with logical axioms describing their composition, colocalisation, and relationships to environmental and biological processes. Using ENVO terms for an environmental description allows a comprehensive description of environment that is key to machine-assisted integration, archiving and federated searching of environmental data.","abbreviation":"ENVO","support_links":[{"url":"http://environmentontology.org/contact","name":"Contact the Consortium","type":"Contact form"},{"url":"https://github.com/EnvironmentOntology/envo/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/EnvironmentOntology/envo","name":"GitHub Repository","type":"Github"},{"url":"http://www.environmentontology.org/annotation-guidelines","name":"Annotation Guidelines","type":"Help documentation"},{"url":"https://sites.google.com/site/environmentontology/about-envo","name":"About","type":"Help documentation"},{"url":"https://sites.google.com/site/environmentontology/annotation-guidelines","name":"Annotation Guidelines","type":"Help documentation"},{"url":"https://twitter.com/envoTweets","name":"@envoTweets","type":"Twitter"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ENVO","name":"ENVO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/envo.html","name":"envo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000060","bsg-s000060"],"name":"FAIRsharing record for: Environment Ontology","abbreviation":"ENVO","url":"https://fairsharing.org/10.25504/FAIRsharing.azqskx","doi":"10.25504/FAIRsharing.azqskx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Environment Ontology (EnvO) provides a controlled, structured vocabulary that is designed to support the annotation of any organism or biological sample with environment descriptors. EnvO contains terms ranging from astronomical objects, through planetary scale biomes, to nanomaterials. Further, these terms are interlinked with logical axioms describing their composition, colocalisation, and relationships to environmental and biological processes. Using ENVO terms for an environmental description allows a comprehensive description of environment that is key to machine-assisted integration, archiving and federated searching of environmental data.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10852},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12199},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12406},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13900},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14555},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16038}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Ecology","Life Science","Nutritional Science","Epidemiology"],"domains":["Environmental material","Marine metagenome","Microbiome"],"taxonomies":["Algae","Archaea","Bacteria","Eukaryota","Fungi","Metazoa","Protozoa","Viruses"],"user_defined_tags":[],"countries":["Germany","Kenya","United States"],"publications":[{"id":894,"pubmed_id":27664130,"title":"The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0097-6","authors":"Buttigieg PL,Pafilis E,Lewis SE,Schildhauer MP,Walls RL,Mungall CJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0097-6","created_at":"2021-09-30T08:23:58.796Z","updated_at":"2021-09-30T08:23:58.796Z"},{"id":1656,"pubmed_id":24330602,"title":"The environment ontology: contextualising biological and biomedical entities.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-43","authors":"Buttigieg PL,Morrison N,Smith B,Mungall CJ,Lewis SE","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-43","created_at":"2021-09-30T08:25:25.505Z","updated_at":"2021-09-30T08:25:25.505Z"},{"id":2405,"pubmed_id":26896844,"title":"EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation.","year":2016,"url":"http://doi.org/10.1093/database/baw005","authors":"Pafilis E,Buttigieg PL,Ferrell B,Pereira E,Schnetzer J,Arvanitidis C,Jensen LJ","journal":"Database (Oxford)","doi":"10.1093/database/baw005","created_at":"2021-09-30T08:26:55.193Z","updated_at":"2021-09-30T08:26:55.193Z"},{"id":2416,"pubmed_id":26713234,"title":"Emerging semantics to link phenotype and environment.","year":2015,"url":"http://doi.org/10.7717/peerj.1470","authors":"Thessen AE,Bunker DE,Buttigieg PL,Cooper LD,Dahdul WM,Domisch S,Franz NM,Jaiswal P,Lawrence-Dill CJ,Midford PE,Mungall CJ,Ramirez MJ,Specht CD,Vogt L,Vos RA,Walls RL,White JW,Zhang G,Deans AR,Huala E,Lewis SE,Mabee PM","journal":"PeerJ","doi":"10.7717/peerj.1470","created_at":"2021-09-30T08:26:56.545Z","updated_at":"2021-09-30T08:26:56.545Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2258,"relation":"undefined"}],"grants":[{"id":6428,"fairsharing_record_id":919,"organisation_id":870,"relation":"maintains","created_at":"2021-09-30T09:28:00.457Z","updated_at":"2021-09-30T09:28:00.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":870,"name":"ENVO administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6432,"fairsharing_record_id":919,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:00.616Z","updated_at":"2021-09-30T09:32:15.361Z","grant_id":1535,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"287589","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6429,"fairsharing_record_id":919,"organisation_id":56,"relation":"funds","created_at":"2021-09-30T09:28:00.498Z","updated_at":"2021-09-30T09:28:00.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6431,"fairsharing_record_id":919,"organisation_id":1691,"relation":"funds","created_at":"2021-09-30T09:28:00.574Z","updated_at":"2021-09-30T09:28:00.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6433,"fairsharing_record_id":919,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:00.657Z","updated_at":"2021-09-30T09:29:42.169Z","grant_id":365,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG004838","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6430,"fairsharing_record_id":919,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:00.537Z","updated_at":"2021-09-30T09:30:29.622Z","grant_id":734,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"283359","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"920","type":"fairsharing_records","attributes":{"created_at":"2016-10-17T21:06:17.000Z","updated_at":"2022-12-23T14:21:11.461Z","metadata":{"doi":"10.25504/FAIRsharing.kx2md1","name":"Ontology of Immune Epitopes","status":"ready","contacts":[{"contact_name":"Bjoern Peters","contact_email":"bpeters@liai.org"}],"homepage":"http://ontology.iedb.org","citations":[],"identifier":920,"description":"The Ontology of Immune Epitopes (ONTIE) is an effort to represent terms in the immunology domain in a formal ontology with the specific goal of representing experiments that identify and characterize immune epitopes. ONTIE has been developed as a subset of OBI (Ontology of Biomedical Investigations) and includes terms relating to experiments involving immune epitopes. This file contains the minimal amount of upper ontology terms and axioms from BFO (Basic Formal Ontology), IAO (Information Artifact Ontology) and OBI, in order to view and reason upon ONTIE. It is currently at version 0.1 beta. ONTIE covers terms regarding immune responses, adaptive immune receptors, immune epitope assays, MHC molecules, and infectious diseases. ONTIE is (at this development stage) a virtual ontology, drawing together terms from multiple reference ontologies. We are actively working on adding more terms to ONTIE either through term requests or through active contribution to external ontologies.","abbreviation":"ONTIE","support_links":[{"url":"https://ontology.iedb.org/documentation","name":"Documentation","type":"Help documentation"},{"url":"https://ontology.iedb.org/resources","name":"Resources","type":"Other"}]},"legacy_ids":["bsg-000680","bsg-s000680"],"name":"FAIRsharing record for: Ontology of Immune Epitopes","abbreviation":"ONTIE","url":"https://fairsharing.org/10.25504/FAIRsharing.kx2md1","doi":"10.25504/FAIRsharing.kx2md1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Immune Epitopes (ONTIE) is an effort to represent terms in the immunology domain in a formal ontology with the specific goal of representing experiments that identify and characterize immune epitopes. ONTIE has been developed as a subset of OBI (Ontology of Biomedical Investigations) and includes terms relating to experiments involving immune epitopes. This file contains the minimal amount of upper ontology terms and axioms from BFO (Basic Formal Ontology), IAO (Information Artifact Ontology) and OBI, in order to view and reason upon ONTIE. It is currently at version 0.1 beta. ONTIE covers terms regarding immune responses, adaptive immune receptors, immune epitope assays, MHC molecules, and infectious diseases. ONTIE is (at this development stage) a virtual ontology, drawing together terms from multiple reference ontologies. We are actively working on adding more terms to ONTIE either through term requests or through active contribution to external ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunology","Life Science"],"domains":["Infection","Major histocompatibility complex"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6434,"fairsharing_record_id":920,"organisation_id":1681,"relation":"maintains","created_at":"2021-09-30T09:28:00.695Z","updated_at":"2021-09-30T09:28:00.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":1681,"name":"La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"921","type":"fairsharing_records","attributes":{"created_at":"2020-04-08T18:39:49.000Z","updated_at":"2023-03-23T13:17:59.090Z","metadata":{"doi":"10.25504/FAIRsharing.EHVpsH","name":"Minimum information for publication of infrared-related data when microplastics are characterized","status":"ready","contacts":[{"contact_name":"Jose M. Andrade","contact_email":"andrade@udc.es","contact_orcid":"0000-0003-1020-5213"}],"homepage":"https://www.sciencedirect.com/science/article/abs/pii/S0025326X20301533?via%3Dihub","citations":[{"doi":"S0025-326X(20)30153-3","publication_id":2852}],"identifier":921,"description":"Reporting guidelines specific to microplastic research parameters involved in infrared spectroscopy.","abbreviation":null,"year_creation":2020},"legacy_ids":["bsg-001462","bsg-s001462"],"name":"FAIRsharing record for: Minimum information for publication of infrared-related data when microplastics are characterized","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.EHVpsH","doi":"10.25504/FAIRsharing.EHVpsH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reporting guidelines specific to microplastic research parameters involved in infrared spectroscopy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Chemistry","Ecology"],"domains":["Environmental contaminant","Infared spectroscopy"],"taxonomies":["Not applicable"],"user_defined_tags":["microplastic","plastic pollution"],"countries":[],"publications":[{"id":2852,"pubmed_id":null,"title":"Standardization of the minimum information for publication of infrared-related data when microplastics are characterized.","year":2020,"url":"https://www.sciencedirect.com/science/article/abs/pii/S0025326X20301533?via%3Dihub","authors":"Andrade JM,Ferreiro B,Lopez-Mahia P,Muniategui-Lorenzo S","journal":"Mar Pollut Bull","doi":"S0025-326X(20)30153-3","created_at":"2021-09-30T08:27:50.857Z","updated_at":"2021-09-30T08:27:50.857Z"}],"licence_links":[],"grants":[{"id":6438,"fairsharing_record_id":921,"organisation_id":1611,"relation":"funds","created_at":"2021-09-30T09:28:00.887Z","updated_at":"2021-09-30T09:32:37.088Z","grant_id":1702,"is_lead":false,"saved_state":{"id":1611,"name":"JPI-Oceans","grant":"PCIN-2015-170-C02-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6436,"fairsharing_record_id":921,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:28:00.807Z","updated_at":"2021-09-30T09:28:00.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6437,"fairsharing_record_id":921,"organisation_id":3005,"relation":"funds","created_at":"2021-09-30T09:28:00.849Z","updated_at":"2021-09-30T09:28:00.849Z","grant_id":null,"is_lead":false,"saved_state":{"id":3005,"name":"University of A Coruna","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6435,"fairsharing_record_id":921,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:28:00.728Z","updated_at":"2021-09-30T09:32:31.863Z","grant_id":1662,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"CTM2016-77945-C3-3-R","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"922","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:09:31.567Z","metadata":{"doi":"10.25504/FAIRsharing.cq8tg2","name":"Open Microscopy Environment - Tagged Image File Format","status":"ready","contacts":[{"contact_name":"Jason Swedlow","contact_email":"j.r.swedlow@dundee.ac.uk","contact_orcid":"0000-0002-2198-1958"}],"homepage":"http://www.openmicroscopy.org/site/support/ome-model/ome-tiff/","citations":[],"identifier":922,"description":"OME-TIFF is a standardized file format for multidimensional image data. OME-TIFF was created to maximize the respective strengths of OME-XML and TIFF. It takes advantage of the metadata defined in OME-XML while retaining the pixels in multi-page TIFF format for compatibility with many more applications.","abbreviation":"OME-TIFF","support_links":[{"url":"http://www.openmicroscopy.org/site/community/mailing-lists","name":"OME-TIFF Mailing List","type":"Mailing list"},{"url":"http://www.openmicroscopy.org/site/support/ome-model/#ome-tiff","name":"Further Documentation","type":"Help documentation"}],"year_creation":2007,"associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}]},"legacy_ids":["bsg-000537","bsg-s000537"],"name":"FAIRsharing record for: Open Microscopy Environment - Tagged Image File Format","abbreviation":"OME-TIFF","url":"https://fairsharing.org/10.25504/FAIRsharing.cq8tg2","doi":"10.25504/FAIRsharing.cq8tg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OME-TIFF is a standardized file format for multidimensional image data. OME-TIFF was created to maximize the respective strengths of OME-XML and TIFF. It takes advantage of the metadata defined in OME-XML while retaining the pixels in multi-page TIFF format for compatibility with many more applications.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18246},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10885},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11014},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14566}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Microbiology","Biology"],"domains":["Resource metadata","Experimental measurement","Bioimaging","Microscopy","Imaging","Image","Study design","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["France","Italy","United Kingdom","United States"],"publications":[{"id":515,"pubmed_id":15892875,"title":"The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r47","authors":"Goldberg IG,Allan C,Burel JM,Creager D,Falconi A,Hochheiser H,Johnston J,Mellen J,Sorger PK,Swedlow JR","journal":"Genome Biol","doi":"10.1186/gb-2005-6-5-r47","created_at":"2021-09-30T08:23:16.210Z","updated_at":"2021-09-30T08:23:16.210Z"},{"id":569,"pubmed_id":20513764,"title":"Metadata matters: access to image data in the real world","year":2010,"url":"http://doi.org/10.1083/jcb.201004104","authors":"Melissa Linkert, Curtis T. Rueden, Chris Allan et al.","journal":"The Journal of Cell Biology","doi":"10.1083/jcb.201004104","created_at":"2021-09-30T08:23:22.218Z","updated_at":"2021-09-30T08:23:22.218Z"},{"id":3247,"pubmed_id":null,"title":"Bringing Open Data to Whole Slide Imaging","year":2019,"url":"http://dx.doi.org/10.1007/978-3-030-23937-4_1","authors":"Besson, Sébastien; Leigh, Roger; Linkert, Melissa; Allan, Chris; Burel, Jean-Marie; Carroll, Mark; Gault, David; Gozim, Riad; Li, Simon; Lindner, Dominik; Moore, Josh; Moore, Will; Walczysko, Petr; Wong, Frances; Swedlow, Jason R.; ","journal":"Digital Pathology","doi":"10.1007/978-3-030-23937-4_1","created_at":"2022-03-03T13:45:32.014Z","updated_at":"2022-03-03T13:45:32.014Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1580,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1587,"relation":"undefined"}],"grants":[{"id":6440,"fairsharing_record_id":922,"organisation_id":2261,"relation":"maintains","created_at":"2021-09-30T09:28:00.962Z","updated_at":"2021-09-30T09:28:00.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6441,"fairsharing_record_id":922,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:00.999Z","updated_at":"2021-09-30T09:30:51.754Z","grant_id":907,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024233/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6439,"fairsharing_record_id":922,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:00.924Z","updated_at":"2021-09-30T09:31:25.214Z","grant_id":1161,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"095931/Z/11/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8142,"fairsharing_record_id":922,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:10.551Z","updated_at":"2021-09-30T09:31:10.832Z","grant_id":1051,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022585/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"923","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:25.815Z","metadata":{"doi":"10.25504/FAIRsharing.w9jvbt","name":"TErminology for the Description of DYnamics","status":"ready","contacts":[{"contact_name":"Melanie Courtot","contact_email":"courtot@ebi.ac.uk"}],"homepage":"http://co.mbine.org/standards/teddy","identifier":923,"description":"The TErminology for the Description of DYnamics (TEDDY) project aims to provide an ontology for dynamical behaviours, observable dynamical phenomena, and control elements of bio-models and biological systems in Systems Biology and Synthetic Biology.","abbreviation":"TEDDY","support_links":[{"url":"https://sourceforge.net/mailarchive/forum.php?forum_name=teddyontology-discuss","name":"Discussion List","type":"Mailing list"},{"url":"https://en.wikipedia.org/wiki/Terminology_for_the_Description_of_Dynamics","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TEDDY","name":"TEDDY","portal":"BioPortal"}]},"legacy_ids":["bsg-000147","bsg-s000147"],"name":"FAIRsharing record for: TErminology for the Description of DYnamics","abbreviation":"TEDDY","url":"https://fairsharing.org/10.25504/FAIRsharing.w9jvbt","doi":"10.25504/FAIRsharing.w9jvbt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TErminology for the Description of DYnamics (TEDDY) project aims to provide an ontology for dynamical behaviours, observable dynamical phenomena, and control elements of bio-models and biological systems in Systems Biology and Synthetic Biology.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11183},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12094},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12229},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16991}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurophysiology","Synthetic Biology","Systems Biology"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Germany","New Zealand","Switzerland","United Kingdom","United States"],"publications":[{"id":22,"pubmed_id":22027554,"title":"Controlled vocabularies and semantics in systems biology.","year":2011,"url":"http://doi.org/10.1038/msb.2011.77","authors":"Courtot M,Juty N,Knupfer C et al.","journal":"Mol Syst Biol","doi":"10.1038/msb.2011.77","created_at":"2021-09-30T08:22:22.740Z","updated_at":"2021-09-30T08:22:22.740Z"}],"licence_links":[],"grants":[{"id":6444,"fairsharing_record_id":923,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:01.093Z","updated_at":"2021-09-30T09:28:01.093Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6442,"fairsharing_record_id":923,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:01.036Z","updated_at":"2021-09-30T09:28:01.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"924","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T11:20:40.000Z","updated_at":"2022-07-20T12:23:00.273Z","metadata":{"doi":"10.25504/FAIRsharing.595710","name":"Agriculture and Forestry Ontology","status":"ready","contacts":[{"contact_name":"Eero Hyvönen","contact_email":"Eero.Hyvonen@tkk.fI"}],"homepage":"https://seco.cs.aalto.fi/ontologies/afo/","identifier":924,"description":"The Agriculture and Forestry Ontology (AFO), also known as the Agriforest Ontology, combines the concepts of the Agriforest Thesaurus with The Finnish General Upper Ontology (YSO). This combination of ontologies can be used for describing resources especially in domain of agriculture, forestry, veterinary medicine, food science, environmental science and biology.","abbreviation":"AFO","year_creation":2017},"legacy_ids":["bsg-001442","bsg-s001442"],"name":"FAIRsharing record for: Agriculture and Forestry Ontology","abbreviation":"AFO","url":"https://fairsharing.org/10.25504/FAIRsharing.595710","doi":"10.25504/FAIRsharing.595710","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agriculture and Forestry Ontology (AFO), also known as the Agriforest Ontology, combines the concepts of the Agriforest Thesaurus with The Finnish General Upper Ontology (YSO). This combination of ontologies can be used for describing resources especially in domain of agriculture, forestry, veterinary medicine, food science, environmental science and biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Forest Management","Agricultural Engineering","Agriculture","Veterinary Medicine","Food Chemistry","Biology"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Finland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1743,"relation":"undefined"}],"grants":[{"id":6445,"fairsharing_record_id":924,"organisation_id":3064,"relation":"maintains","created_at":"2021-09-30T09:28:01.118Z","updated_at":"2021-09-30T09:28:01.118Z","grant_id":null,"is_lead":true,"saved_state":{"id":3064,"name":"University of Helsinki, Finland","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"929","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T13:54:11.000Z","updated_at":"2024-03-21T13:57:57.199Z","metadata":{"doi":"10.25504/FAIRsharing.5g1fma","name":"MIAPE: Mass Spectrometry","status":"ready","contacts":[{"contact_name":"Pierre-Alain Binz","contact_email":"Pierre-Alain.Binz@isb-sib.ch"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":929,"description":"This module identifies the minimum information required to report the use of a mass spectrometer in a proteomics experiment, sufficient to support both the effective (re-)interpretation and (re-) assessment of the data and the potential reproduction of the work that generated it.","abbreviation":"MIAPE-MS","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","name":"Mass Spectrometry Mailing List","type":"Mailing list"}],"year_creation":2007},"legacy_ids":["bsg-000607","bsg-s000607"],"name":"FAIRsharing record for: MIAPE: Mass Spectrometry","abbreviation":"MIAPE-MS","url":"https://fairsharing.org/10.25504/FAIRsharing.5g1fma","doi":"10.25504/FAIRsharing.5g1fma","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report the use of a mass spectrometer in a proteomics experiment, sufficient to support both the effective (re-)interpretation and (re-) assessment of the data and the potential reproduction of the work that generated it.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11445},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12063},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19738}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Germany","Sweden","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":803,"pubmed_id":18688232,"title":"Guidelines for reporting the use of mass spectrometry in proteomics.","year":2008,"url":"http://doi.org/10.1038/nbt0808-860","authors":"Taylor CF,Binz PA,Aebersold R,Affolter M,Barkovich R,Deutsch EW,Horn DM,Huhmer A,Kussmann M,Lilley K,Macht M,Mann M,Muller D,Neubert TA,Nickson J,Patterson SD,Raso R,Resing K,Seymour SL,Tsugita A,Xenarios I,Zeng R,Julian RK Jr","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-860","created_at":"2021-09-30T08:23:48.570Z","updated_at":"2021-09-30T08:23:48.570Z"}],"licence_links":[],"grants":[{"id":6453,"fairsharing_record_id":929,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:01.458Z","updated_at":"2021-09-30T09:28:01.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6455,"fairsharing_record_id":929,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:01.541Z","updated_at":"2021-09-30T09:28:01.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6456,"fairsharing_record_id":929,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:01.579Z","updated_at":"2021-09-30T09:28:01.579Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11520,"fairsharing_record_id":929,"organisation_id":3609,"relation":"funds","created_at":"2024-03-21T13:57:57.027Z","updated_at":"2024-03-21T13:57:57.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":3609,"name":"Human Proteome Organization","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2dEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4bae8cd8577204f529e7291065b3a57d93afc0ff/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"930","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.944Z","metadata":{"doi":"10.25504/FAIRsharing.23th83","name":"GeoSpecies Ontology","status":"ready","contacts":[{"contact_name":"Peter J. DeVries","contact_email":"pdevries@wisc.edu","contact_orcid":"0000-0003-4637-5281"}],"homepage":"http://bioportal.bioontology.org/ontologies/1247","identifier":930,"description":"This ontology was designed to help integrate species concepts with species occurrences, gene sequences, images, references and geographical information.","abbreviation":"GeoSpecies","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GEOSPECIES","name":"GEOSPECIES","portal":"BioPortal"}]},"legacy_ids":["bsg-002576","bsg-s002576"],"name":"FAIRsharing record for: GeoSpecies Ontology","abbreviation":"GeoSpecies","url":"https://fairsharing.org/10.25504/FAIRsharing.23th83","doi":"10.25504/FAIRsharing.23th83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology was designed to help integrate species concepts with species occurrences, gene sequences, images, references and geographical information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Citation","Taxonomic classification","Geographical location","Image","Sequence","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6457,"fairsharing_record_id":930,"organisation_id":1131,"relation":"maintains","created_at":"2021-09-30T09:28:01.612Z","updated_at":"2021-09-30T09:28:01.612Z","grant_id":null,"is_lead":false,"saved_state":{"id":1131,"name":"GeoSpecies Knowledge Base Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"914","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.137Z","metadata":{"doi":"10.25504/FAIRsharing.3dm6gm","name":"Edinburgh Human Developmental Anatomy","status":"deprecated","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://obofoundry.org/ontology/ehda.html","identifier":914,"description":"A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). The timed version of the human developmental anatomy ontology gives all the tissues present at each Carnegie Stage (CS) of human development (1-20) linked by a part-of rule. Each term is mentioned only once so that the embryo at each stage can be seen as the simple sum of its parts. Users should note that tissues that are symmetric (e.g. eyes, ears, limbs) are only mentioned once. The EHDA; Hunter et al. 2003 is less complete than later versions: it comprises a set of ontologies, one for each Carnegie stage (CS) (1–20) that only includes basic part_of data. Its structure was derived from the original EMAP ontology, and its content was based partly on this and partly on a limited study of sectioned human material.","abbreviation":"EHDA","support_links":[{"url":"http://obofoundry.org/ontology/ehda.html","type":"Help documentation"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EHDA","name":"EHDA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ehda.html","name":"ehda","portal":"OBO Foundry"}],"deprecation_date":"2016-04-20","deprecation_reason":"This resource is deprecated. Please see the record for the next version of the ontology (https://biosharing.org/bsg-002675) instead."},"legacy_ids":["bsg-000032","bsg-s000032"],"name":"FAIRsharing record for: Edinburgh Human Developmental Anatomy","abbreviation":"EHDA","url":"https://fairsharing.org/10.25504/FAIRsharing.3dm6gm","doi":"10.25504/FAIRsharing.3dm6gm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). The timed version of the human developmental anatomy ontology gives all the tissues present at each Carnegie Stage (CS) of human development (1-20) linked by a part-of rule. Each term is mentioned only once so that the embryo at each stage can be seen as the simple sum of its parts. Users should note that tissues that are symmetric (e.g. eyes, ears, limbs) are only mentioned once. The EHDA; Hunter et al. 2003 is less complete than later versions: it comprises a set of ontologies, one for each Carnegie stage (CS) (1–20) that only includes basic part_of data. Its structure was derived from the original EMAP ontology, and its content was based partly on this and partly on a limited study of sectioned human material.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science","Biomedical Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1007,"pubmed_id":14620375,"title":"An ontology of human developmental anatomy.","year":2003,"url":"http://doi.org/10.1046/j.1469-7580.2003.00224.x","authors":"Hunter A,Kaufman MH,McKay A,Baldock R,Simmen MW,Bard JB","journal":"J Anat","doi":"10.1046/j.1469-7580.2003.00224.x","created_at":"2021-09-30T08:24:11.455Z","updated_at":"2021-09-30T08:24:11.455Z"}],"licence_links":[],"grants":[{"id":6425,"fairsharing_record_id":914,"organisation_id":3052,"relation":"maintains","created_at":"2021-09-30T09:28:00.323Z","updated_at":"2021-09-30T09:28:00.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":3052,"name":"University of Edinburgh, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6426,"fairsharing_record_id":914,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:28:00.363Z","updated_at":"2021-09-30T09:28:00.363Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"915","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-03-13T09:21:32.230Z","metadata":{"doi":"10.25504/FAIRsharing.g593w1","name":"EDAM Bioimaging Ontology","status":"ready","contacts":[{"contact_name":"Jon Ison","contact_email":"jison@cbs.dtu.dk"}],"homepage":"http://bioportal.bioontology.org/ontologies/EDAM-BIOIMAGING","citations":[],"identifier":915,"description":"Bioimaging operations, data types, formats, identifiers and topics. EDAM-Bioimaging is an extension to the EDAM ontology (edamontology.org) for bioimaging, developed in collaboration with partners from NEUBIAS (neubias.org).","abbreviation":"EDAM-BIOIMAGING","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDAM-BIOIMAGING","name":"EDAM-BIOIMAGING","portal":"BioPortal"}]},"legacy_ids":["bsg-001013","bsg-s001013"],"name":"FAIRsharing record for: EDAM Bioimaging Ontology","abbreviation":"EDAM-BIOIMAGING","url":"https://fairsharing.org/10.25504/FAIRsharing.g593w1","doi":"10.25504/FAIRsharing.g593w1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bioimaging operations, data types, formats, identifiers and topics. EDAM-Bioimaging is an extension to the EDAM ontology (edamontology.org) for bioimaging, developed in collaboration with partners from NEUBIAS (neubias.org).","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16103},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16989}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics"],"domains":["Bioimaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"916","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-03-13T09:25:30.918Z","metadata":{"doi":"10.25504/FAIRsharing.twp7vn","name":"Bionutrition Ontology","status":"ready","contacts":[{"contact_name":"Cameron Coffran, Diane Meehan, Andrea Ronning","contact_email":"cameron@rockefeller.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/BNO","citations":[],"identifier":916,"description":"The Bionutrition Ontology relates concepts and terminologies used for human nutrition in a clinical and biomedical setting.","abbreviation":"BNO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BNO","name":"BNO","portal":"BioPortal"}]},"legacy_ids":["bsg-001020","bsg-s001020"],"name":"FAIRsharing record for: Bionutrition Ontology","abbreviation":"BNO","url":"https://fairsharing.org/10.25504/FAIRsharing.twp7vn","doi":"10.25504/FAIRsharing.twp7vn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bionutrition Ontology relates concepts and terminologies used for human nutrition in a clinical and biomedical setting.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17365}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Nutritional Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"917","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:04.399Z","metadata":{"doi":"10.25504/FAIRsharing.77e3my","name":"Molecular Interaction eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"HUPO PSI","contact_email":"psi-mi@ebi.ac.uk"}],"homepage":"http://www.psidev.info/groups/molecular-interactions","identifier":917,"description":"The PSI-MI interchange format and accompanying controlled vocabularies was originally designed by a consortium of molecular interaction data providers from both academia and industry, including BIND, DIP, IntAct, MINT, MIPS, GlaxoSmithKline, CellZome, Hybrigenics, Universities of Bielefeld, Bordeaux, Cambridge, and others. It is maintained, and kept fit for purpose by the Molecular Interaction workgroup of the HUPO PSI. It can be used for storing any kind of molecular interaction data including complexes and binary interactions such as protein-protein interactions and nucleic acid interactions.","abbreviation":"PSI-MI XML","support_links":[{"url":"psi-mi@ebi.ac.uk","name":"PSI-MI Mailing List","type":"Mailing list"},{"url":"https://github.com/MICommunity/psimi/blob/wiki/PsimiXMLSpecifications.md","name":"GitHub Documentation for PSI-MI 2.5","type":"Github"},{"url":"https://rawgit.com/HUPO-PSI/miXML/master/3.0/doc/MIF300.html","name":"PSI-MI XML 3.0 Schema Documentation","type":"Help documentation"},{"url":"https://rawgit.com/HUPO-PSI/miXML/master/2.5/doc/MIF254.html","name":"PSI-MI XML 2.5 Schema Documentation","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000121","bsg-s000121"],"name":"FAIRsharing record for: Molecular Interaction eXtensible Markup Language","abbreviation":"PSI-MI XML","url":"https://fairsharing.org/10.25504/FAIRsharing.77e3my","doi":"10.25504/FAIRsharing.77e3my","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PSI-MI interchange format and accompanying controlled vocabularies was originally designed by a consortium of molecular interaction data providers from both academia and industry, including BIND, DIP, IntAct, MINT, MIPS, GlaxoSmithKline, CellZome, Hybrigenics, Universities of Bielefeld, Bordeaux, Cambridge, and others. It is maintained, and kept fit for purpose by the Molecular Interaction workgroup of the HUPO PSI. It can be used for storing any kind of molecular interaction data including complexes and binary interactions such as protein-protein interactions and nucleic acid interactions.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11209},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11433},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11981}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":868,"pubmed_id":17925023,"title":"Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.","year":2007,"url":"http://doi.org/10.1186/1741-7007-5-44","authors":"Kerrien S., Orchard S., Montecchi-Palazzi L. et al.","journal":"BMC Biol.","doi":"10.1186/1741-7007-5-44","created_at":"2021-09-30T08:23:55.889Z","updated_at":"2021-09-30T08:23:55.889Z"},{"id":2322,"pubmed_id":14755292,"title":"The HUPO PSI's molecular interaction format--a community standard for the representation of protein interaction data.","year":2004,"url":"http://doi.org/10.1038/nbt926","authors":"Hermjakob H,Montecchi-Palazzi L,Bader G,Wojcik J,Salwinski L,Ceol A,Moore S,Orchard S,Sarkans U,von Mering C,Roechert B,Poux S,Jung E,Mersch H,Kersey P,Lappe M,Li Y,Zeng R,Rana D,Nikolski M,Husi H,Brun C,Shanker K,Grant SG,Sander C,Bork P,Zhu W,Pandey A,Brazma A,Jacq B,Vidal M,Sherman D,Legrain P,Cesareni G,Xenarios I,Eisenberg D,Steipe B,Hogue C,Apweiler R","journal":"Nat Biotechnol","doi":"10.1038/nbt926","created_at":"2021-09-30T08:26:45.002Z","updated_at":"2021-09-30T08:26:45.002Z"},{"id":2346,"pubmed_id":29642841,"title":"Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions.","year":2018,"url":"http://doi.org/10.1186/s12859-018-2118-1","authors":"Sivade Dumousseau M,Alonso-Lopez D,Ammari M,Bradley G,Campbell NH,Ceol A,Cesareni G,Combe C,De Las Rivas J,Del-Toro N,Heimbach J,Hermjakob H,Jurisica I,Koch M,Licata L,Lovering RC,Lynn DJ,Meldal BHM,Micklem G,Panni S,Porras P,Ricard-Blum S,Roechert B,Salwinski L,Shrivastava A,Sullivan J,Thierry-Mieg N,Yehudi Y,Van Roey K,Orchard S","journal":"BMC Bioinformatics","doi":"10.1186/s12859-018-2118-1","created_at":"2021-09-30T08:26:48.268Z","updated_at":"2021-09-30T08:26:48.268Z"}],"licence_links":[],"grants":[{"id":6427,"fairsharing_record_id":917,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:00.394Z","updated_at":"2021-09-30T09:28:00.394Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"918","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-29T17:04:18.290Z","metadata":{"doi":"10.25504/FAIRsharing.1esk4f","name":"Artificial Intelligence Rheumatology Consultant System Ontology","status":"ready","contacts":[{"contact_name":"NLM Customer Service","contact_email":"custserv@nlm.nih.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/1430","citations":[],"identifier":918,"description":"AI/RHEUM is used for the diagnosis of rheumatologic diseases. AI/RHEUM contains findings, such as clinical signs, symptoms, laboratory test results, radiologic observations, tissue biopsy results, and intermediate diagnosis hypotheses. Findings and hypotheses, which include definitions, are used to reach diagnostic conclusions with definite, probable, or possible certainty. AI/RHEUM is used by clinicians and informatics researchers.","abbreviation":"AI/RHEUM","support_links":[],"year_creation":1983,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AI-RHEUM","name":"AI-RHEUM","portal":"BioPortal"}]},"legacy_ids":["bsg-002655","bsg-s002655"],"name":"FAIRsharing record for: Artificial Intelligence Rheumatology Consultant System Ontology","abbreviation":"AI/RHEUM","url":"https://fairsharing.org/10.25504/FAIRsharing.1esk4f","doi":"10.25504/FAIRsharing.1esk4f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AI/RHEUM is used for the diagnosis of rheumatologic diseases. AI/RHEUM contains findings, such as clinical signs, symptoms, laboratory test results, radiologic observations, tissue biopsy results, and intermediate diagnosis hypotheses. Findings and hypotheses, which include definitions, are used to reach diagnostic conclusions with definite, probable, or possible certainty. AI/RHEUM is used by clinicians and informatics researchers.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12519}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiology","Biomedical Science","Preclinical Studies"],"domains":["Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1730,"pubmed_id":3537610,"title":"Anatomy of a knowledge-based consultant system: AI/RHEUM.","year":1986,"url":"https://www.ncbi.nlm.nih.gov/pubmed/3537610","authors":"Kingsland LC 3rd,Lindberg DA,Sharp GC","journal":"MD Comput","doi":null,"created_at":"2021-09-30T08:25:33.879Z","updated_at":"2021-09-30T08:25:33.879Z"},{"id":1731,"pubmed_id":3320252,"title":"AI/LEARN network. The use of computer-generated graphics to augment the educational utility of a knowledge-based diagnostic system (AI/RHEUM).","year":1987,"url":"http://doi.org/10.1007/BF00996349","authors":"Lee AS,Cutts JH 3rd,Sharp GC,Mitchell JA","journal":"J Med Syst","doi":"10.1007/BF00996349","created_at":"2021-09-30T08:25:33.988Z","updated_at":"2021-09-30T08:25:33.988Z"},{"id":1736,"pubmed_id":6352842,"title":"AI/RHEUM. A consultant system for rheumatology.","year":1983,"url":"http://doi.org/10.1007/BF00993283","authors":"Kingsland LC 3rd,Lindberg DA,Sharp GC","journal":"J Med Syst","doi":"10.1007/BF00993283","created_at":"2021-09-30T08:25:34.779Z","updated_at":"2021-09-30T08:25:34.779Z"},{"id":1997,"pubmed_id":3330560,"title":"AI/LEARN: an interactive videodisk system for teaching medical concepts and reasoning.","year":1987,"url":"http://doi.org/10.1007/BF00993009","authors":"Mitchell JA,Lee AS,TenBrink T,Cutts JH 3rd,Clark DP,Hazelwood S,Jackson R,Bickel J,Gaunt W,Ladenson RP,et al.","journal":"J Med Syst","doi":"10.1007/BF00993009","created_at":"2021-09-30T08:26:04.781Z","updated_at":"2021-09-30T08:26:04.781Z"},{"id":2001,"pubmed_id":3279963,"title":"The AI/RHEUM knowledge-based computer consultant system in rheumatology. Performance in the diagnosis of 59 connective tissue disease patients from Japan.","year":1988,"url":"http://doi.org/10.1002/art.1780310210","authors":"Porter JF,Kingsland LC 3rd,Lindberg DA,Shah I,Benge JM,Hazelwood SE,Kay DR,Homma M,Akizuki M,Takano M,et al.","journal":"Arthritis Rheum","doi":"10.1002/art.1780310210","created_at":"2021-09-30T08:26:05.340Z","updated_at":"2021-09-30T08:26:05.340Z"},{"id":2084,"pubmed_id":1406331,"title":"Validation of the AI/RHEUM knowledge base with data from consecutive rheumatological outpatients.","year":1992,"url":"https://www.ncbi.nlm.nih.gov/pubmed/1406331","authors":"Bernelot Moens HJ","journal":"Methods Inf Med","doi":null,"created_at":"2021-09-30T08:26:14.957Z","updated_at":"2021-09-30T08:26:14.957Z"}],"licence_links":[{"licence_name":"UMLS - Metathesaurus License Agreement","licence_id":975,"licence_url":"https://www.nlm.nih.gov/research/umls/knowledge_sources/metathesaurus/release/license_agreement.html","link_id":2819,"relation":"applies_to_content"}],"grants":[{"id":9832,"fairsharing_record_id":918,"organisation_id":2045,"relation":"undefined","created_at":"2022-08-29T17:03:51.239Z","updated_at":"2022-08-29T17:03:51.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"905","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-10-26T14:03:44.713Z","metadata":{"doi":"10.25504/FAIRsharing.9vtwjs","name":"Dublin Core Metadata Initiative Terms","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"contact@dublincore.net"}],"homepage":"https://www.dublincore.org/specifications/dublin-core/dcmi-terms/","citations":[],"identifier":905,"description":"This document is an up-to-date, authoritative specification of all metadata terms maintained by the Dublin Core Metadata Initiative, including properties, vocabulary encoding schemes, syntax encoding schemes, and classes. Included are the fifteen terms of the Dublin Core Metadata Element Set, which have also been published as a separate specification.","abbreviation":"DCMI Metadata Terms","support_links":[{"url":"https://en.wikipedia.org/wiki/Dublin_Core#Dublin_Core_Metadata_Element_Set","name":"Wikipedia page","type":"Wikipedia"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DCTERMS","name":"DCTERMS","portal":"BioPortal"}]},"legacy_ids":["bsg-000978","bsg-s000978"],"name":"FAIRsharing record for: Dublin Core Metadata Initiative Terms","abbreviation":"DCMI Metadata Terms","url":"https://fairsharing.org/10.25504/FAIRsharing.9vtwjs","doi":"10.25504/FAIRsharing.9vtwjs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document is an up-to-date, authoritative specification of all metadata terms maintained by the Dublin Core Metadata Initiative, including properties, vocabulary encoding schemes, syntax encoding schemes, and classes. Included are the fifteen terms of the Dublin Core Metadata Element Set, which have also been published as a separate specification.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17355},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12944},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13325},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13340},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13358},{"linking_record_name":"Mapping CDC to OpenAIRE, B2find, schema.org and Dublin Core","linking_record_id":3646,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13369}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1249,"relation":"undefined"}],"grants":[{"id":6405,"fairsharing_record_id":905,"organisation_id":3142,"relation":"maintains","created_at":"2021-09-30T09:27:59.569Z","updated_at":"2021-09-30T09:27:59.569Z","grant_id":null,"is_lead":false,"saved_state":{"id":3142,"name":"University of Tsukuba","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6404,"fairsharing_record_id":905,"organisation_id":122,"relation":"funds","created_at":"2021-09-30T09:27:59.532Z","updated_at":"2021-09-30T09:27:59.532Z","grant_id":null,"is_lead":false,"saved_state":{"id":122,"name":"Association for Information Science and Technology (ASIS\u0026T)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6406,"fairsharing_record_id":905,"organisation_id":657,"relation":"maintains","created_at":"2021-09-30T09:27:59.601Z","updated_at":"2021-09-30T09:27:59.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":657,"name":"DCMI Usage Board","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"932","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:59:29.539Z","metadata":{"doi":"10.25504/FAIRsharing.fmz635","name":"Gramene Taxonomy Ontology","status":"ready","contacts":[{"contact_name":"Gramene Helpdesk","contact_email":"gramene@gramene.org"}],"homepage":"http://archive.gramene.org/db/ontology/search_term?id=GR_tax:017502","identifier":932,"description":"Gramene Taxonomy Ontology (GR-TAX) is a representation of the taxonomy tree in the ontology format. Each term in this ontology can represent subspecies, species, genus, order, class or any rank in the classification. Primarily derived from NCBI Taxonomy, the revisions were made as and when/where required in the rankings. The rank of genome types was added by this project. This taxonomy ontology focuses on the Poaceae (Gramineae) family of plant taxonomy only.","abbreviation":"GR-TAX","year_creation":2013},"legacy_ids":["bsg-001113","bsg-s001113"],"name":"FAIRsharing record for: Gramene Taxonomy Ontology","abbreviation":"GR-TAX","url":"https://fairsharing.org/10.25504/FAIRsharing.fmz635","doi":"10.25504/FAIRsharing.fmz635","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gramene Taxonomy Ontology (GR-TAX) is a representation of the taxonomy tree in the ontology format. Each term in this ontology can represent subspecies, species, genus, order, class or any rank in the classification. Primarily derived from NCBI Taxonomy, the revisions were made as and when/where required in the rankings. The rank of genome types was added by this project. This taxonomy ontology focuses on the Poaceae (Gramineae) family of plant taxonomy only.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Taxonomic classification"],"taxonomies":["Gramineae","Poaceae"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6464,"fairsharing_record_id":932,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:28:01.876Z","updated_at":"2021-09-30T09:28:01.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6463,"fairsharing_record_id":932,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:28:01.852Z","updated_at":"2021-09-30T09:28:01.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6465,"fairsharing_record_id":932,"organisation_id":548,"relation":"maintains","created_at":"2021-09-30T09:28:01.901Z","updated_at":"2021-09-30T09:28:01.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":548,"name":"Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"933","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:26.925Z","metadata":{"doi":"10.25504/FAIRsharing.hgnk8v","name":"Sample Tabular Format","status":"deprecated","contacts":[{"contact_name":"BioSamples Helpdesk","contact_email":"biosamples@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biosamples/docs/references/sampletab","identifier":933,"description":"The BioSamples Database uses the SampleTab file format for submissions. This is a tab-delimited file that can be created in many spreadsheet editing software packages (e.g. Microsoft Excel). Although SampleTab files can have some advanced features, they can be written by users from a wide range of backgrounds using tools they are already familiar with. The SampleTab format has a number of advanced features for power users, such as ontology mappings, anonymous groups, and UTF-8 character encoding. Although this format is still accepted, the administrators of the BioSamples Database recommend that all submissions to BioSamples be made in JSON via our JSON API.","abbreviation":"SampleTab","support_links":[{"url":"http://listserver.ebi.ac.uk/mailman/listinfo/biosamples-announce","name":"BioSamples Announce","type":"Mailing list"}],"year_creation":2010,"deprecation_date":"2020-03-09","deprecation_reason":"The BioSamples team have deprecated the SampleTab data model and are replacing it with their JSON schema."},"legacy_ids":["bsg-000262","bsg-s000262"],"name":"FAIRsharing record for: Sample Tabular Format","abbreviation":"SampleTab","url":"https://fairsharing.org/10.25504/FAIRsharing.hgnk8v","doi":"10.25504/FAIRsharing.hgnk8v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioSamples Database uses the SampleTab file format for submissions. This is a tab-delimited file that can be created in many spreadsheet editing software packages (e.g. Microsoft Excel). Although SampleTab files can have some advanced features, they can be written by users from a wide range of backgrounds using tools they are already familiar with. The SampleTab format has a number of advanced features for power users, such as ontology mappings, anonymous groups, and UTF-8 character encoding. Although this format is still accepted, the administrators of the BioSamples Database recommend that all submissions to BioSamples be made in JSON via our JSON API.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11193}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Biological sample annotation","Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":581,"relation":"undefined"}],"grants":[{"id":6466,"fairsharing_record_id":933,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:01.926Z","updated_at":"2021-09-30T09:28:01.926Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"934","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-20T09:10:25.726Z","metadata":{"doi":"10.25504/FAIRsharing.m21pn","name":"STrengthening the REporting of Genetic Association Studies","status":"ready","contacts":[{"contact_name":"Jullian Little","contact_email":"jlittle@uottawa.ca"}],"homepage":"https://www.equator-network.org/reporting-guidelines/strobe-strega/","citations":[{"doi":"10.1371/journal.pmed.1000022","pubmed_id":19192942,"publication_id":1824}],"identifier":934,"description":"The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies.","abbreviation":"STREGA","support_links":[],"year_creation":2009},"legacy_ids":["bsg-000037","bsg-s000037"],"name":"FAIRsharing record for: STrengthening the REporting of Genetic Association Studies","abbreviation":"STREGA","url":"https://fairsharing.org/10.25504/FAIRsharing.m21pn","doi":"10.25504/FAIRsharing.m21pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12101}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genetics","Biomedical Science"],"domains":["Deoxyribonucleic acid","Phenotype","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1824,"pubmed_id":19192942,"title":"STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement.","year":2009,"url":"http://doi.org/10.1371/journal.pmed.1000022","authors":"Little J,Higgins JP,Ioannidis JP,Moher D,Gagnon F,von Elm E,Khoury MJ,Cohen B,Davey-Smith G,Grimshaw J,Scheet P,Gwinn M,Williamson RE,Zou GY,Hutchings K,Johnson CY,Tait V,Wiens M,Golding J,van Duijn C,McLaughlin J,Paterson A,Wells G,Fortier I,Freedman M,Zecevic M,King R,Infante-Rivard C,Stewart A,Birkett N","journal":"PLoS Med","doi":"10.1371/journal.pmed.1000022","created_at":"2021-09-30T08:25:44.880Z","updated_at":"2021-09-30T08:25:44.880Z"},{"id":4140,"pubmed_id":null,"title":"Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE Statement","year":2009,"url":"http://dx.doi.org/10.1007/s00439-008-0592-7","authors":"Little, Julian; Higgins, Julian P. T.; Ioannidis, John P. A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey-Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante-Rivard, Claire; Stewart, Alex; Birkett, Nick; ","journal":"Hum Genet","doi":"10.1007/s00439-008-0592-7","created_at":"2024-02-20T08:44:12.720Z","updated_at":"2024-02-20T08:44:12.720Z"},{"id":4141,"pubmed_id":null,"title":"Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE statement","year":2009,"url":"http://dx.doi.org/10.1007/s10654-008-9302-y","authors":"Little, Julian; Higgins, Julian P. T.; Ioannidis, John P. A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey-Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante-Rivard, Claire; Stewart, Alex; Birkett, Nick; ","journal":"Eur J Epidemiol","doi":"10.1007/s10654-008-9302-y","created_at":"2024-02-20T08:44:30.019Z","updated_at":"2024-02-20T08:44:30.019Z"},{"id":4142,"pubmed_id":null,"title":"STrengthening the REporting of Genetic Association Studies (STREGA): An Extension of the STROBE Statement","year":2013,"url":"http://dx.doi.org/10.7326/0003-4819-150-3-200902030-00011","authors":"Little, Julian; ","journal":"Ann Intern Med","doi":"10.7326/0003-4819-150-3-200902030-00011","created_at":"2024-02-20T08:44:41.772Z","updated_at":"2024-02-20T08:44:41.772Z"},{"id":4143,"pubmed_id":null,"title":"Strengthening the reporting of genetic association studies (STREGA)—an extension of the strengthening the reporting of observational studies in epidemiology (STROBE) statement","year":2009,"url":"http://dx.doi.org/10.1016/j.jclinepi.2008.12.004","authors":"Little, Julian; Higgins, Julian P.T.; Ioannidis, John P.A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey-Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante-Rivard, Claire; Stewart, Alex F.; Birkett, Nick; ","journal":"Journal of Clinical Epidemiology","doi":"10.1016/j.jclinepi.2008.12.004","created_at":"2024-02-20T08:44:53.809Z","updated_at":"2024-02-20T08:44:53.809Z"},{"id":4144,"pubmed_id":null,"title":"STrengthening the REporting of Genetic Association Studies (STREGA)—an extension of the STROBE statement","year":2009,"url":"http://dx.doi.org/10.1002/gepi.20410","authors":"Little, Julian; Higgins, Julian P. T.; Ioannidis, John P. A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey‐Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante‐Rivard, Claire; Stewart,, Alex; Birkett, Nick; ","journal":"Genetic Epidemiology","doi":"10.1002/gepi.20410","created_at":"2024-02-20T08:45:06.193Z","updated_at":"2024-02-20T08:45:06.193Z"},{"id":4145,"pubmed_id":null,"title":"STrengthening the REporting of Genetic Association studies (STREGA) – an extension of the STROBE statement","year":2009,"url":"http://dx.doi.org/10.1111/j.1365-2362.2009.02125.x","authors":"Little, Julian; Higgins, Julian P.T.; Ioannidis, John P.A.; Moher, David; Gagnon, France; Von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey‐Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; Van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante‐Rivard, Claire; Stewart, Alex; Birkett, Nick; ","journal":"Eur J Clin Investigation","doi":"10.1111/j.1365-2362.2009.02125.x","created_at":"2024-02-20T08:45:16.892Z","updated_at":"2024-02-20T08:45:16.892Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3409,"relation":"applies_to_content"}],"grants":[{"id":6467,"fairsharing_record_id":934,"organisation_id":2653,"relation":"maintains","created_at":"2021-09-30T09:28:01.952Z","updated_at":"2021-09-30T09:28:01.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":2653,"name":"STREGA group, faculty of medecine, Ottawa, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"944","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T10:02:36.000Z","updated_at":"2021-11-24T13:20:07.555Z","metadata":{"doi":"10.25504/FAIRsharing.28yec8","name":"Minimum Information About a Bioinformatics investigation","status":"ready","contacts":[{"contact_name":"Shoba Ranganathan","contact_email":"shoba.ranganathan@mq.edu.au"}],"homepage":"http://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-11-S4-S27","identifier":944,"description":"The Minimum Information about a Bioinformatics investigation (MIABi) initiative specifies, through a series of documentation modules, the minimum information that should be provided for a bioinformatics investigation. The MIABi initiative arises from a response to the growing need for transparency, provenance and scientific reproducibility amongst the bioinformatics and computational biology community.","abbreviation":"MIABi","support_links":[{"url":"tinwee@bic.nus.edu.sg","type":"Support email"}],"year_creation":2010},"legacy_ids":["bsg-000650","bsg-s000650"],"name":"FAIRsharing record for: Minimum Information About a Bioinformatics investigation","abbreviation":"MIABi","url":"https://fairsharing.org/10.25504/FAIRsharing.28yec8","doi":"10.25504/FAIRsharing.28yec8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Bioinformatics investigation (MIABi) initiative specifies, through a series of documentation modules, the minimum information that should be provided for a bioinformatics investigation. The MIABi initiative arises from a response to the growing need for transparency, provenance and scientific reproducibility amongst the bioinformatics and computational biology community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Bioinformatics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","Singapore","United States"],"publications":[{"id":1116,"pubmed_id":21143811,"title":"Advancing standards for bioinformatics activities: persistence, reproducibility, disambiguation and Minimum Information About a Bioinformatics investigation (MIABi).","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-S4-S27","authors":"Tan TW,Tong JC,Khan AM,de Silva M,Lim KS,Ranganathan S","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-S4-S27","created_at":"2021-09-30T08:24:23.657Z","updated_at":"2021-09-30T08:24:23.657Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"945","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T20:24:37.000Z","updated_at":"2022-12-13T10:25:35.406Z","metadata":{"doi":"10.25504/FAIRsharing.D1OMbH","name":"Hierarchical Progressive Survey","status":"ready","contacts":[{"contact_name":"IVOA Applications Working Group","contact_email":"apps@ivoa.net"}],"homepage":"http://ivoa.net/documents/HiPS/index.html","citations":[{"publication_id":2932}],"identifier":945,"description":"The HiPS format is a hierarchical scheme for the description, storage and access of sky survey data. The system is based on hierarchical tiling of sky regions at finer and finer spatial resolution which facilitates a progressive view of a survey, and supports multi-resolution zooming and panning. HiPS uses the HEALPix tessellation of the sky as the basis for the scheme and is implemented as a simple file structure with a direct indexing scheme that leads to practical implementations. HiPS is designed specifically for astronomical data in that it takes the astrometric and photometric properties of the original data into account, and emphasis is placed on ease of use without the need for special servers or database systems.","abbreviation":"HiPS","year_creation":2016},"legacy_ids":["bsg-001146","bsg-s001146"],"name":"FAIRsharing record for: Hierarchical Progressive Survey","abbreviation":"HiPS","url":"https://fairsharing.org/10.25504/FAIRsharing.D1OMbH","doi":"10.25504/FAIRsharing.D1OMbH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HiPS format is a hierarchical scheme for the description, storage and access of sky survey data. The system is based on hierarchical tiling of sky regions at finer and finer spatial resolution which facilitates a progressive view of a survey, and supports multi-resolution zooming and panning. HiPS uses the HEALPix tessellation of the sky as the basis for the scheme and is implemented as a simple file structure with a direct indexing scheme that leads to practical implementations. HiPS is designed specifically for astronomical data in that it takes the astrometric and photometric properties of the original data into account, and emphasis is placed on ease of use without the need for special servers or database systems.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11484}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2932,"pubmed_id":null,"title":"HiPS - Hierarchical Progressive Survey Version 1.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0519F","authors":"Fernique, Pierre; Allen, Mark; Boch, Thomas; Donaldson, Tom; Durand, Daniel; Ebisawa, Ken; Michel, Laurent; Salgado, Jesus; Stoehr, Felix","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.275Z","updated_at":"2021-09-30T08:28:01.275Z"}],"licence_links":[],"grants":[{"id":6486,"fairsharing_record_id":945,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:02.676Z","updated_at":"2021-09-30T09:28:02.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6485,"fairsharing_record_id":945,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:02.583Z","updated_at":"2021-09-30T09:30:27.222Z","grant_id":718,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"GA 653477","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6484,"fairsharing_record_id":945,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:02.542Z","updated_at":"2021-09-30T09:28:02.542Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"946","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:56.406Z","metadata":{"doi":"10.25504/FAIRsharing.7d0yv9","name":"Minimal Information About a Cellular Assay","status":"ready","contacts":[{"contact_name":"Stefan Wiemann","contact_email":"s.wiemann@dkfz.de"}],"homepage":"http://miaca.sourceforge.net/","identifier":946,"description":"The Minimum Information About a Cellular Assay (MIACA) was developed as an information guideline and a modular Cellular Assay Object Model (CA-OM) that is capable of covering the range of cellular assays possible and which is the basis for efficient data exchange. We invite broad participation in the further development of MIACA and the contents of its object model, to create a widely accepted guideline that will facilitate an efficient assessment of data quality and relevance, and to stimulate the development of databases that will take cell assay data and their accompanying description in a standardized format.","abbreviation":"MIACA","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/miaca-announce","type":"Mailing list"},{"url":"http://sourceforge.net/project/showfiles.php?group_id=158121","type":"Help documentation"},{"url":"http://mibbi.sourceforge.net/projects/MIACA.shtml","type":"Help documentation"},{"url":"https://sourceforge.net/projects/miaca/","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000164","bsg-s000164"],"name":"FAIRsharing record for: Minimal Information About a Cellular Assay","abbreviation":"MIACA","url":"https://fairsharing.org/10.25504/FAIRsharing.7d0yv9","doi":"10.25504/FAIRsharing.7d0yv9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information About a Cellular Assay (MIACA) was developed as an information guideline and a modular Cellular Assay Object Model (CA-OM) that is capable of covering the range of cellular assays possible and which is the basis for efficient data exchange. We invite broad participation in the further development of MIACA and the contents of its object model, to create a widely accepted guideline that will facilitate an efficient assessment of data quality and relevance, and to stimulate the development of databases that will take cell assay data and their accompanying description in a standardized format.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10869},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11144},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11568},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11943}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Biomedical Science"],"domains":["Cell","Cellular assay","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Finland","Germany","Japan","Sweden","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"MIACA Full Copyright Notice","licence_id":514,"licence_url":"http://miaca.sourceforge.net/copyrightNotice.txt","link_id":534,"relation":"undefined"}],"grants":[{"id":6487,"fairsharing_record_id":946,"organisation_id":2749,"relation":"maintains","created_at":"2021-09-30T09:28:02.713Z","updated_at":"2021-09-30T09:28:02.713Z","grant_id":null,"is_lead":false,"saved_state":{"id":2749,"name":"The Cell Based Assay Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"947","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-07-20T12:36:14.613Z","metadata":{"doi":"10.25504/FAIRsharing.x9s8e","name":"Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","status":"ready","contacts":[{"contact_name":"RIKEN IMS Contact","contact_email":"ims-web@riken.jp"}],"homepage":"https://bioportal.bioontology.org/ontologies/RPO","identifier":947,"description":"The Resource of Asian Primary Immunodeficiency Diseases (RAPID) Phenotype Ontology (RPO) is a controlled vocabulary for phenotypic terms for primary immunodeficiency diseases (PIDs) used within the RAPID database. It is intended to facilitate global sharing and free exchange of PID data with users’ communities. Please note that, while available via BioPortal, the RAPID phenotype ontology is no longer being updated.","abbreviation":"RPO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RPO","name":"RPO","portal":"BioPortal"}]},"legacy_ids":["bsg-000742","bsg-s000742"],"name":"FAIRsharing record for: Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","abbreviation":"RPO","url":"https://fairsharing.org/10.25504/FAIRsharing.x9s8e","doi":"10.25504/FAIRsharing.x9s8e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Resource of Asian Primary Immunodeficiency Diseases (RAPID) Phenotype Ontology (RPO) is a controlled vocabulary for phenotypic terms for primary immunodeficiency diseases (PIDs) used within the RAPID database. It is intended to facilitate global sharing and free exchange of PID data with users’ communities. Please note that, while available via BioPortal, the RAPID phenotype ontology is no longer being updated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunogenetics","Immunology"],"domains":["Phenotype","Immune system"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India","Japan"],"publications":[],"licence_links":[],"grants":[{"id":6489,"fairsharing_record_id":947,"organisation_id":2444,"relation":"maintains","created_at":"2021-09-30T09:28:02.769Z","updated_at":"2021-09-30T09:28:02.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":2444,"name":"RIKEN Center for Integrative Medical Sciences (IMS), Yokohama City, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6488,"fairsharing_record_id":947,"organisation_id":1402,"relation":"maintains","created_at":"2021-09-30T09:28:02.746Z","updated_at":"2021-09-30T09:28:02.746Z","grant_id":null,"is_lead":false,"saved_state":{"id":1402,"name":"Institute of Bioinformatics, Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"949","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-13T09:29:12.370Z","metadata":{"doi":"10.25504/FAIRsharing.rtzdrx","name":"Bacterial interlocked Process ONtology","status":"ready","contacts":[{"contact_name":"Anne Goelzer","contact_email":"anne.goelzer@inra.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/BIPON","citations":[],"identifier":949,"description":"BiPON is an ontology permitting a multi-scale systemic representation of bacterial cellular processes and the coupling to their mathematical models. BiPON is further composed of two sub- ontologies, bioBiPON and modelBiPON. bioBiPON aims at organizing the systemic description of biological information while modelBiPON aims at describing the mathematical models (including parameters) associated to each biological process.","abbreviation":"BIPON","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIPON","name":"BIPON","portal":"BioPortal"}]},"legacy_ids":["bsg-000746","bsg-s000746"],"name":"FAIRsharing record for: Bacterial interlocked Process ONtology","abbreviation":"BIPON","url":"https://fairsharing.org/10.25504/FAIRsharing.rtzdrx","doi":"10.25504/FAIRsharing.rtzdrx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BiPON is an ontology permitting a multi-scale systemic representation of bacterial cellular processes and the coupling to their mathematical models. BiPON is further composed of two sub- ontologies, bioBiPON and modelBiPON. bioBiPON aims at organizing the systemic description of biological information while modelBiPON aims at describing the mathematical models (including parameters) associated to each biological process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Microbiology"],"domains":["Mathematical model"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"952","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:16:38.670Z","metadata":{"doi":"10.25504/FAIRsharing.sfkmej","name":"Biological Pathway eXchange","status":"ready","contacts":[{"contact_name":"BioPAX group","contact_email":"biopax-discuss@googlegroups.com"}],"homepage":"http://biopax.org/","citations":[{"doi":"10.1038/nbt.1666","pubmed_id":20829833,"publication_id":2142}],"identifier":952,"description":"BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. By offering a standard, with well-defined semantics for pathway representation, BioPAX allows pathway databases and software to interact more efficiently. In addition, BioPAX enables the development of pathway visualization from databases and facilitates analysis of experimentally generated data through combination with prior knowledge. The BioPAX effort is coordinated closely with that of other pathway related standards initiatives namely; PSI-MI, SBML, CellML, and SBGN in order to deliver a compatible standard in the areas where they overlap.","abbreviation":"BioPAX","support_links":[{"url":"https://groups.google.com/forum/#!forum/biopax-discuss","name":"BioPAX Discussion Forum","type":"Forum"},{"url":"https://github.com/BioPAX","name":"GitHub Repository","type":"Github"}],"year_creation":2002,"associated_tools":[{"url":"http://www.biopax.org/validator","name":"BioPAX Validator"},{"url":"https://biopax.github.io/Paxtools/","name":"Paxtools (Java Libraries)"}]},"legacy_ids":["bsg-000038","bsg-s000038"],"name":"FAIRsharing record for: Biological Pathway eXchange","abbreviation":"BioPAX","url":"https://fairsharing.org/10.25504/FAIRsharing.sfkmej","doi":"10.25504/FAIRsharing.sfkmej","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. By offering a standard, with well-defined semantics for pathway representation, BioPAX allows pathway databases and software to interact more efficiently. In addition, BioPAX enables the development of pathway visualization from databases and facilitates analysis of experimentally generated data through combination with prior knowledge. The BioPAX effort is coordinated closely with that of other pathway related standards initiatives namely; PSI-MI, SBML, CellML, and SBGN in order to deliver a compatible standard in the areas where they overlap.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10844},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11135},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11916},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12192},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16948}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science","Systems Biology"],"domains":["Mathematical model","Resource metadata","Modeling and simulation","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","France","Germany","Japan","United Kingdom","United States","Worldwide"],"publications":[{"id":2142,"pubmed_id":20829833,"title":"The BioPAX community standard for pathway data sharing.","year":2010,"url":"http://doi.org/10.1038/nbt.1666","authors":"Demir E,Cary MP,Paley S et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt.1666","created_at":"2021-09-30T08:26:21.458Z","updated_at":"2021-09-30T08:26:21.458Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2090,"relation":"undefined"}],"grants":[{"id":6495,"fairsharing_record_id":952,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:28:03.052Z","updated_at":"2021-09-30T09:28:03.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6493,"fairsharing_record_id":952,"organisation_id":3141,"relation":"maintains","created_at":"2021-09-30T09:28:02.935Z","updated_at":"2021-09-30T09:28:02.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":3141,"name":"University of Toronto, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6494,"fairsharing_record_id":952,"organisation_id":385,"relation":"maintains","created_at":"2021-09-30T09:28:02.973Z","updated_at":"2021-09-30T09:28:02.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":385,"name":"cBio Center at the Dana-Farber Cancer Institute and at Harvard Medical School, Boston, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"953","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:43.446Z","metadata":{"doi":"10.25504/FAIRsharing.qaaj0q","name":"Gene Feature File version 1","status":"deprecated","homepage":"http://www.sanger.ac.uk/resources/software/gff/spec.html","identifier":953,"description":"The GFF file format stands for \"Gene Finding Format\" and was invented at the Sanger Centre. GFF is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3.","abbreviation":"GFF","deprecation_date":"2016-11-25","deprecation_reason":"According to GMOD, this format has been superseded, first by GFF2, and then by GFF3 (https://biosharing.org/bsg-s000235)"},"legacy_ids":["bsg-000234","bsg-s000234"],"name":"FAIRsharing record for: Gene Feature File version 1","abbreviation":"GFF","url":"https://fairsharing.org/10.25504/FAIRsharing.qaaj0q","doi":"10.25504/FAIRsharing.qaaj0q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GFF file format stands for \"Gene Finding Format\" and was invented at the Sanger Centre. GFF is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11162}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"955","type":"fairsharing_records","attributes":{"created_at":"2018-10-15T20:39:30.000Z","updated_at":"2022-02-08T10:50:49.596Z","metadata":{"doi":"10.25504/FAIRsharing.e36460","name":"Cruise Summary Reports","status":"ready","contacts":[{"contact_name":"SeaDataNet User Desk","contact_email":"sdn-userdesk@seadatanet.org"}],"homepage":"https://www.seadatanet.org/Standards/Metadata-formats/CSR","identifier":955,"description":"Cruise Summary Reports (CSR = former ROSCOPs) are the usual means in SeaDataNet for reporting on cruises or field experiments at sea. Traditionally, it is the Chief Scientist's obligation to submit a CSR to his/her National Oceanographic Data Centre (NODC) not later than two weeks after the cruise. This provides a first level inventory of measurements and samples collected at sea. Information such as the ship track, objectives of the cruise and principal investigators contacts are also included among other metadata elements tested to be useful in by the marine community practice. The Reports have been compiled over time and encoded using . Though in the past a XML schema derived from ISO 19115 DTD was used, the current implementation utilizes the ISO 19139 Schema.","abbreviation":"CSR","support_links":[{"url":"https://www.seadatanet.org/sendform/contact","name":"Contact SeaDataNet","type":"Contact form"}]},"legacy_ids":["bsg-001327","bsg-s001327"],"name":"FAIRsharing record for: Cruise Summary Reports","abbreviation":"CSR","url":"https://fairsharing.org/10.25504/FAIRsharing.e36460","doi":"10.25504/FAIRsharing.e36460","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cruise Summary Reports (CSR = former ROSCOPs) are the usual means in SeaDataNet for reporting on cruises or field experiments at sea. Traditionally, it is the Chief Scientist's obligation to submit a CSR to his/her National Oceanographic Data Centre (NODC) not later than two weeks after the cruise. This provides a first level inventory of measurements and samples collected at sea. Information such as the ship track, objectives of the cruise and principal investigators contacts are also included among other metadata elements tested to be useful in by the marine community practice. The Reports have been compiled over time and encoded using . Though in the past a XML schema derived from ISO 19115 DTD was used, the current implementation utilizes the ISO 19139 Schema.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Data Management","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6496,"fairsharing_record_id":955,"organisation_id":2533,"relation":"maintains","created_at":"2021-09-30T09:28:03.091Z","updated_at":"2021-09-30T09:28:03.091Z","grant_id":null,"is_lead":true,"saved_state":{"id":2533,"name":"SeaDataNet","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"956","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-21T11:29:23.306Z","metadata":{"doi":"10.25504/FAIRsharing.wstthd","name":"CONSOlidated Standards of Reporting Trials - Official Extensions","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/consort/","citations":[],"identifier":956,"description":"The main CONSORT Statement is based on the \"standard\" two-group parallel design. However, there are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). To help improve the reporting of these trials the main CONSORT Statement has been extended and modified by members of the CONSORT group for application in these various areas.","abbreviation":"CONSORT - OE","support_links":[{"url":"http://www.consort-statement.org/blog","type":"Blog/News"},{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"http://www.consort-statement.org/extensions/","type":"Help documentation"},{"url":"http://www.consort-statement.org/checklists/view/32-consort/66-title","type":"Help documentation"},{"url":"https://twitter.com/CONSORTing","type":"Twitter"}]},"legacy_ids":["bsg-000142","bsg-s000142"],"name":"FAIRsharing record for: CONSOlidated Standards of Reporting Trials - Official Extensions","abbreviation":"CONSORT - OE","url":"https://fairsharing.org/10.25504/FAIRsharing.wstthd","doi":"10.25504/FAIRsharing.wstthd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The main CONSORT Statement is based on the \"standard\" two-group parallel design. However, there are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). To help improve the reporting of these trials the main CONSORT Statement has been extended and modified by members of the CONSORT group for application in these various areas.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11944},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12409}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Preclinical Studies"],"domains":["Data acquisition"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":955,"pubmed_id":23443445,"title":"Reporting of patient-reported outcomes in randomized trials: the CONSORT PRO extension.","year":2013,"url":"http://doi.org/10.1001/jama.2013.879","authors":"Calvert M,Blazeby J,Altman DG,Revicki DA,Moher D,Brundage MD","journal":"JAMA","doi":"10.1001/jama.2013.879","created_at":"2021-09-30T08:24:05.638Z","updated_at":"2021-09-30T08:24:05.638Z"},{"id":1174,"pubmed_id":24168680,"title":"The CONSORT Patient-Reported Outcome (PRO) extension: implications for clinical trials and practice.","year":2013,"url":"http://doi.org/10.1186/1477-7525-11-184","authors":"Calvert M,Brundage M,Jacobsen PB,Schunemann HJ,Efficace F","journal":"Health Qual Life Outcomes","doi":"10.1186/1477-7525-11-184","created_at":"2021-09-30T08:24:30.500Z","updated_at":"2021-09-30T08:24:30.500Z"},{"id":1328,"pubmed_id":28168602,"title":"Preliminary evidence on the uptake, use and benefits of the CONSORT-PRO extension.","year":2017,"url":"http://doi.org/10.1007/s11136-017-1508-6","authors":"Mercieca-Bebber R,Rouette J,Calvert M,King MT,McLeod L,Holch P,Palmer MJ,Brundage M","journal":"Qual Life Res","doi":"10.1007/s11136-017-1508-6","created_at":"2021-09-30T08:24:48.667Z","updated_at":"2021-09-30T08:24:48.667Z"}],"licence_links":[],"grants":[{"id":6501,"fairsharing_record_id":956,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:03.255Z","updated_at":"2021-09-30T09:28:03.255Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6497,"fairsharing_record_id":956,"organisation_id":996,"relation":"funds","created_at":"2021-09-30T09:28:03.124Z","updated_at":"2021-09-30T09:28:03.124Z","grant_id":null,"is_lead":false,"saved_state":{"id":996,"name":"Family Hearth International (FHI 360), Durham, NC, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6500,"fairsharing_record_id":956,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:28:03.222Z","updated_at":"2021-09-30T09:28:03.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6502,"fairsharing_record_id":956,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:28:03.288Z","updated_at":"2021-09-30T09:28:03.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6503,"fairsharing_record_id":956,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:28:03.330Z","updated_at":"2021-09-30T09:28:03.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6499,"fairsharing_record_id":956,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:28:03.184Z","updated_at":"2021-09-30T09:29:25.624Z","grant_id":244,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","grant":"C5529","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11395,"fairsharing_record_id":956,"organisation_id":2280,"relation":"funds","created_at":"2024-02-20T11:26:15.902Z","updated_at":"2024-02-20T11:26:15.902Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"957","type":"fairsharing_records","attributes":{"created_at":"2018-09-10T21:03:22.000Z","updated_at":"2022-02-08T10:50:13.092Z","metadata":{"doi":"10.25504/FAIRsharing.b8b212","name":"Extensible Stylesheet Language","status":"ready","contacts":[{"contact_name":"Anders Berglund","contact_email":"alrb@us.ibm.com"}],"homepage":"http://www.w3.org/TR/xsl11/","identifier":957,"description":"This specification defines the features and syntax for the Extensible Stylesheet Language (XSL, also known colloquially as the Extensible Stylesheet Language Formatting Objects (XSLFO)), a language for expressing stylesheets. XSL is a family of recommendations for defining XML document transformation and presentation. It consists of three parts: XSL Transformations (XSLT), a language for transforming XML; The XML Path Language (XPath), an expression language used by XSLT (and many other languages) to access or refer to parts of an XML document; and XSL Formatting Objects (XSL-FO), an XML vocabulary for specifying formatting semantics (described here).","abbreviation":"XSL","year_creation":2006},"legacy_ids":["bsg-001289","bsg-s001289"],"name":"FAIRsharing record for: Extensible Stylesheet Language","abbreviation":"XSL","url":"https://fairsharing.org/10.25504/FAIRsharing.b8b212","doi":"10.25504/FAIRsharing.b8b212","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This specification defines the features and syntax for the Extensible Stylesheet Language (XSL, also known colloquially as the Extensible Stylesheet Language Formatting Objects (XSLFO)), a language for expressing stylesheets. XSL is a family of recommendations for defining XML document transformation and presentation. It consists of three parts: XSL Transformations (XSLT), a language for transforming XML; The XML Path Language (XPath), an expression language used by XSLT (and many other languages) to access or refer to parts of an XML document; and XSL Formatting Objects (XSL-FO), an XML vocabulary for specifying formatting semantics (described here).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Free text","Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":304,"relation":"undefined"}],"grants":[{"id":6504,"fairsharing_record_id":957,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:03.412Z","updated_at":"2021-09-30T09:28:03.412Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"958","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T10:19:51.000Z","updated_at":"2023-06-05T06:23:22.617Z","metadata":{"doi":"10.25504/FAIRsharing.XfpPv7","name":"History and Sciences of Religions Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/4V5/en/","citations":[],"identifier":958,"description":"Controlled vocabulary used for indexing bibliographical records for the \"History and Sciences of Religions\" FRANCIS database (1972-2015). It consists of 4579 entries available in 3 languages (English, French, and Spanish).","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001404","bsg-s001404"],"name":"FAIRsharing record for: History and Sciences of Religions Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.XfpPv7","doi":"10.25504/FAIRsharing.XfpPv7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"History and Sciences of Religions\" FRANCIS database (1972-2015). It consists of 4579 entries available in 3 languages (English, French, and Spanish).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11290}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Religious Studies","Humanities and Social Science","History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1683,"relation":"undefined"}],"grants":[{"id":6505,"fairsharing_record_id":958,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:03.489Z","updated_at":"2021-09-30T09:28:03.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6506,"fairsharing_record_id":958,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:03.532Z","updated_at":"2021-09-30T09:28:03.532Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"959","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T13:38:36.000Z","updated_at":"2022-04-11T12:07:18.223Z","metadata":{"doi":"10.25504/FAIRsharing.d5a210","name":"IUPAC-IUB Joint Commission on Biochemical Nomenclature - Nomenclature and Symbolism for Amino Acids and Peptides","status":"ready","contacts":[{"contact_name":"G. P. Moss","contact_email":"g.p.moss@qmul.ac.uk"}],"homepage":"https://www.qmul.ac.uk/sbcs/iupac/misc/naabb.html","identifier":959,"description":"The Nomenclature and Symbolism for Amino Acids and Peptides, created by the IUPAC-IUB Joint Commission on Biochemical Nomenclature, formalizes the naming scheme for amino acids, non-peptide derivatives of amino acids and peptides as well as peptide derivatives. It also describes the 3-letter and 1-letter symbols for amino acids.","abbreviation":"JCBN - Amino Acids and Peptides","support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iupac/jcbn/membr.html","name":"Contact Committee Members","type":"Contact form"}],"year_creation":1983},"legacy_ids":["bsg-001400","bsg-s001400"],"name":"FAIRsharing record for: IUPAC-IUB Joint Commission on Biochemical Nomenclature - Nomenclature and Symbolism for Amino Acids and Peptides","abbreviation":"JCBN - Amino Acids and Peptides","url":"https://fairsharing.org/10.25504/FAIRsharing.d5a210","doi":"10.25504/FAIRsharing.d5a210","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nomenclature and Symbolism for Amino Acids and Peptides, created by the IUPAC-IUB Joint Commission on Biochemical Nomenclature, formalizes the naming scheme for amino acids, non-peptide derivatives of amino acids and peptides as well as peptide derivatives. It also describes the 3-letter and 1-letter symbols for amino acids.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry"],"domains":["Peptide identification","Peptide","Classification","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6508,"fairsharing_record_id":959,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:28:03.598Z","updated_at":"2021-09-30T09:28:03.598Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}},{"id":9156,"fairsharing_record_id":959,"organisation_id":1533,"relation":"maintains","created_at":"2022-04-11T12:07:18.210Z","updated_at":"2022-04-11T12:07:18.210Z","grant_id":null,"is_lead":true,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"935","type":"fairsharing_records","attributes":{"created_at":"2015-04-21T13:20:22.000Z","updated_at":"2022-07-20T13:07:41.104Z","metadata":{"doi":"10.25504/FAIRsharing.wf28wm","name":"UniProt Taxonomy","status":"ready","contacts":[{"contact_name":"UniProt helpdesk","contact_email":"help@uniprot.org"}],"homepage":"http://www.uniprot.org/taxonomy/","identifier":935,"description":"The taxonomy database that is maintained by the UniProt group is based on the NCBI taxonomy database, which is supplemented with data specific to the UniProt Knowledgebase (UniProtKB). While the NCBI taxonomy is updated daily to be in sync with GenBank/EMBL-Bank/DDBJ, the UniProt taxonomy is updated only at UniProt releases to be in sync with UniProtKB. It may therefore happen that for the time period of a UniProt release, you can find new taxa at the NCBI that are not yet in UniProt (and vice versa for deleted taxa). Species with manually annotated and reviewed protein sequences in the Swiss-Prot section of UniProtKB are named according to UniProt nomenclature. In particular, we have adopted a systematic convention for naming viral and bacterial strains and isolates.","abbreviation":"UP Taxonomy","support_links":[{"url":"help@uniprot.org","name":"UniProt Helpdesk","type":"Support email"},{"url":"https://www.uniprot.org/help/taxonomy","name":"Help Pages","type":"Help documentation"},{"url":"https://www.uniprot.org/docs/speclist","name":"CV of UniProt Species","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCkCR5RJZCZZoVTQzTYY92aw","name":"UniProt YouTube Channel","type":"Video"}],"year_creation":2003},"legacy_ids":["bsg-000587","bsg-s000587"],"name":"FAIRsharing record for: UniProt Taxonomy","abbreviation":"UP Taxonomy","url":"https://fairsharing.org/10.25504/FAIRsharing.wf28wm","doi":"10.25504/FAIRsharing.wf28wm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The taxonomy database that is maintained by the UniProt group is based on the NCBI taxonomy database, which is supplemented with data specific to the UniProt Knowledgebase (UniProtKB). While the NCBI taxonomy is updated daily to be in sync with GenBank/EMBL-Bank/DDBJ, the UniProt taxonomy is updated only at UniProt releases to be in sync with UniProtKB. It may therefore happen that for the time period of a UniProt release, you can find new taxa at the NCBI that are not yet in UniProt (and vice versa for deleted taxa). Species with manually annotated and reviewed protein sequences in the Swiss-Prot section of UniProtKB are named according to UniProt nomenclature. In particular, we have adopted a systematic convention for naming viral and bacterial strains and isolates.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1345,"relation":"undefined"}],"grants":[{"id":6469,"fairsharing_record_id":935,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:02.002Z","updated_at":"2021-09-30T09:28:02.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6468,"fairsharing_record_id":935,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:01.976Z","updated_at":"2021-09-30T09:28:01.976Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"936","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.488Z","metadata":{"doi":"10.25504/FAIRsharing.619eqr","name":"Cerebrotendinous Xanthomatosis Ontology","status":"uncertain","contacts":[{"contact_name":"Maria Taboada","contact_email":"maria.taboada@usc.es","contact_orcid":"0000-0002-2353-596X"}],"homepage":"http://bioportal.bioontology.org/ontologies/CTX","identifier":936,"description":"The ontology represents CTX phenotypes, genetic variants, and bidirectional relationships between them though a patient model. The CTX ontology was build reusing the Human Phenotype Ontology (HPO) and the Snomed ct ontologies. A set of temporal clinical manifestations are semantically annotated with a domain phenotype ontology and registered with a time-stamped value.","abbreviation":"CTX","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTX","name":"CTX","portal":"BioPortal"}]},"legacy_ids":["bsg-002797","bsg-s002797"],"name":"FAIRsharing record for: Cerebrotendinous Xanthomatosis Ontology","abbreviation":"CTX","url":"https://fairsharing.org/10.25504/FAIRsharing.619eqr","doi":"10.25504/FAIRsharing.619eqr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology represents CTX phenotypes, genetic variants, and bidirectional relationships between them though a patient model. The CTX ontology was build reusing the Human Phenotype Ontology (HPO) and the Snomed ct ontologies. A set of temporal clinical manifestations are semantically annotated with a domain phenotype ontology and registered with a time-stamped value.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Biomedical Science","Preclinical Studies"],"domains":["Lipid","Phenotype","Disease","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":2132,"pubmed_id":23759795,"title":"Cerebrotendinous xanthomatosis.","year":2013,"url":"http://doi.org/10.1097/MOL.0b013e328362df13","authors":"Bjorkhem I","journal":"Curr Opin Lipidol","doi":"10.1097/MOL.0b013e328362df13","created_at":"2021-09-30T08:26:20.424Z","updated_at":"2021-09-30T08:26:20.424Z"}],"licence_links":[],"grants":[{"id":6470,"fairsharing_record_id":936,"organisation_id":627,"relation":"maintains","created_at":"2021-09-30T09:28:02.026Z","updated_at":"2021-09-30T09:28:02.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":627,"name":"CTX Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"937","type":"fairsharing_records","attributes":{"created_at":"2016-01-18T16:43:40.000Z","updated_at":"2023-03-21T16:00:02.338Z","metadata":{"doi":"10.25504/FAIRsharing.wvdvwp","name":"Electron Microscope Exchange Initiative","status":"deprecated","contacts":[{"contact_name":"Roberto Marabini","contact_email":"emx@cnb.csic.es","contact_orcid":"0000-0001-7876-1684"}],"homepage":"http://i2pc.cnb.csic.es/emx","citations":[],"identifier":937,"description":"The Electron Microscopy Exchange (EMX) format is a standard for metadata exchange in 3D electron microscopy.","abbreviation":"EMX","support_links":[{"url":"http://i2pc.cnb.csic.es/emx/LoadDictionaryFormat.htm?type=LabelList","type":"Help documentation"}],"year_creation":2016,"deprecation_date":"2023-03-20","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000635","bsg-s000635"],"name":"FAIRsharing record for: Electron Microscope Exchange Initiative","abbreviation":"EMX","url":"https://fairsharing.org/10.25504/FAIRsharing.wvdvwp","doi":"10.25504/FAIRsharing.wvdvwp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Electron Microscopy Exchange (EMX) format is a standard for metadata exchange in 3D electron microscopy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Microscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1823,"pubmed_id":26873784,"title":"The Electron Microscopy eXchange (EMX) initiative.","year":2016,"url":"http://doi.org/10.1016/j.jsb.2016.02.008","authors":"Marabini R,Ludtke SJ,Murray SC,Chiu W,de la Rosa-Trevin JM,Patwardhan A,Heymann JB,Carazo JM","journal":"J Struct Biol","doi":"10.1016/j.jsb.2016.02.008","created_at":"2021-09-30T08:25:44.773Z","updated_at":"2021-09-30T08:25:44.773Z"}],"licence_links":[],"grants":[{"id":6471,"fairsharing_record_id":937,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:28:02.052Z","updated_at":"2021-09-30T09:29:32.694Z","grant_id":293,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"AIC-A-2011-0638","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6475,"fairsharing_record_id":937,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:02.242Z","updated_at":"2021-09-30T09:31:03.071Z","grant_id":993,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01GM079429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6473,"fairsharing_record_id":937,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:02.171Z","updated_at":"2021-09-30T09:31:10.018Z","grant_id":1048,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"EINFRA-2015–1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6472,"fairsharing_record_id":937,"organisation_id":1457,"relation":"maintains","created_at":"2021-09-30T09:28:02.133Z","updated_at":"2021-09-30T09:28:02.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":1457,"name":"Instruct Image Processing Center (I2CP), Madrid, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9044,"fairsharing_record_id":937,"organisation_id":595,"relation":"funds","created_at":"2022-03-28T13:31:27.693Z","updated_at":"2022-03-28T13:31:27.693Z","grant_id":1450,"is_lead":false,"saved_state":{"id":595,"name":"Comunidad de Madrid (CAM), Madrid, Spain","grant":"S2010/BMD-2305","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8006,"fairsharing_record_id":937,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:30:21.540Z","updated_at":"2021-09-30T09:30:21.585Z","grant_id":674,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2013-44647-R","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"938","type":"fairsharing_records","attributes":{"created_at":"2016-03-13T11:27:32.000Z","updated_at":"2021-11-24T13:13:44.990Z","metadata":{"doi":"10.25504/FAIRsharing.vh2ye1","name":"Minimum Information About Cell Migration Experiment","status":"in_development","contacts":[{"contact_name":"Alejandra Gonzalez-Beltran","contact_email":"alejandra.gonzalez.beltran@gmail.com","contact_orcid":"0000-0003-3499-8262"}],"homepage":"http://cmso.science/","identifier":938,"description":"The Minimum Information About Cell Migration Experiment is being defined by the Cell Migration Standardization Organization.","abbreviation":"MIACME","support_links":[{"url":"https://cmso.science/mailing-lists/","type":"Contact form"},{"url":"wg1-cmso-minimalrequirements@vib-ugent.be","type":"Support email"},{"url":"https://github.com/CellMigStandOrg/MIACME","type":"Github"},{"url":"https://cmso.science/","type":"Help documentation"},{"url":"https://twitter.com/CellMigStandOrg","type":"Twitter"}],"year_creation":2016},"legacy_ids":["bsg-000642","bsg-s000642"],"name":"FAIRsharing record for: Minimum Information About Cell Migration Experiment","abbreviation":"MIACME","url":"https://fairsharing.org/10.25504/FAIRsharing.vh2ye1","doi":"10.25504/FAIRsharing.vh2ye1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information About Cell Migration Experiment is being defined by the Cell Migration Standardization Organization.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10886}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Cell Biology"],"domains":["Cell migration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":101,"relation":"undefined"}],"grants":[{"id":6477,"fairsharing_record_id":938,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:02.325Z","updated_at":"2021-09-30T09:31:30.527Z","grant_id":1203,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"MULTIMOT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6476,"fairsharing_record_id":938,"organisation_id":396,"relation":"maintains","created_at":"2021-09-30T09:28:02.284Z","updated_at":"2021-09-30T09:28:02.284Z","grant_id":null,"is_lead":false,"saved_state":{"id":396,"name":"Cell Migration Standardisation Organisation (CMSO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"941","type":"fairsharing_records","attributes":{"created_at":"2021-02-15T16:48:34.000Z","updated_at":"2021-11-24T13:17:40.786Z","metadata":{"doi":"10.25504/FAIRsharing.cd2f9e","name":"Hypertext Transfer Protocol Secure","status":"ready","homepage":"https://en.wikipedia.org/wiki/HTTPS","identifier":941,"description":"Hypertext Transfer Protocol Secure (HTTPS) is an extension of the Hypertext Transfer Protocol (HTTP). It is used for secure communication over a computer network, and is widely used on the Internet. In HTTPS, the communication protocol is encrypted using Transport Layer Security (TLS) or, formerly, Secure Sockets Layer (SSL). The protocol is therefore also referred to as HTTP over TLS, or HTTP over SSL.","abbreviation":"HTTPS","year_creation":1994},"legacy_ids":["bsg-001593","bsg-s001593"],"name":"FAIRsharing record for: Hypertext Transfer Protocol Secure","abbreviation":"HTTPS","url":"https://fairsharing.org/10.25504/FAIRsharing.cd2f9e","doi":"10.25504/FAIRsharing.cd2f9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Hypertext Transfer Protocol Secure (HTTPS) is an extension of the Hypertext Transfer Protocol (HTTP). It is used for secure communication over a computer network, and is widely used on the Internet. In HTTPS, the communication protocol is encrypted using Transport Layer Security (TLS) or, formerly, Secure Sockets Layer (SSL). The protocol is therefore also referred to as HTTP over TLS, or HTTP over SSL.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13206},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13240},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13247},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13281},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13291}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Internet protocol"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"942","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:25.819Z","metadata":{"doi":"10.25504/FAIRsharing.v5xfnf","name":"Globally Unique Identifier and Life Science Identifier Applicability Statement","status":"ready","contacts":[{"contact_name":"Kevin Richards","contact_email":"richardsk777@gmail.com","contact_orcid":"0000-0001-6570-7443"}],"homepage":"https://github.com/tdwg/guid-as","identifier":942,"description":"GUIDs are Globally Unique Identifiers which should be referentially consistent and resolvable in order to support tests of uniqueness and the acquisition of associated metadata. Further, permanent and robust resolution services need to be available. The TDWG Globally Unique Identifiers Task Group (TDWG GUID), after meeting twice in 2006, recommended the use of the Life Sciences Identifiers (LSID) to uniquely identify shared data objects in the biodiversity domain.","abbreviation":"GUID and LSID Applicability Statements","support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","type":"Mailing list"}],"year_creation":2011},"legacy_ids":["bsg-000194","bsg-s000194"],"name":"FAIRsharing record for: Globally Unique Identifier and Life Science Identifier Applicability Statement","abbreviation":"GUID and LSID Applicability Statements","url":"https://fairsharing.org/10.25504/FAIRsharing.v5xfnf","doi":"10.25504/FAIRsharing.v5xfnf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GUIDs are Globally Unique Identifiers which should be referentially consistent and resolvable in order to support tests of uniqueness and the acquisition of associated metadata. Further, permanent and robust resolution services need to be available. The TDWG Globally Unique Identifiers Task Group (TDWG GUID), after meeting twice in 2006, recommended the use of the Life Sciences Identifiers (LSID) to uniquely identify shared data objects in the biodiversity domain.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12007},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12275}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Life Science"],"domains":["Bibliography","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1589,"relation":"undefined"}],"grants":[{"id":6480,"fairsharing_record_id":942,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:02.419Z","updated_at":"2021-09-30T09:28:02.419Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6481,"fairsharing_record_id":942,"organisation_id":1167,"relation":"maintains","created_at":"2021-09-30T09:28:02.445Z","updated_at":"2021-09-30T09:28:02.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1167,"name":"Global Biodiversity Information Facility (GBIF) in Spain, Madrid, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"943","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:14:59.000Z","updated_at":"2024-03-21T13:58:12.684Z","metadata":{"doi":"10.25504/FAIRsharing.813a1k","name":"LINCS Extended Metadata Standard: Primary Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Primary_Cell_Metadata_2017.pdf","citations":[],"identifier":943,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe primary cells, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases, the cells are also associated with a disease.","abbreviation":"LINCS 2: Primary Cells","support_links":[{"url":"https://lincsproject.org/LINCS/files/Primary_Cell_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000652","bsg-s000652"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Primary Cells","abbreviation":"LINCS 2: Primary Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.813a1k","doi":"10.25504/FAIRsharing.813a1k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe primary cells, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases, the cells are also associated with a disease.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11899},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12492}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":6483,"fairsharing_record_id":943,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:02.512Z","updated_at":"2021-09-30T09:28:02.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11542,"fairsharing_record_id":943,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:12.437Z","updated_at":"2024-03-21T13:58:12.437Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"950","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T13:38:24.000Z","updated_at":"2024-03-17T16:55:51.127Z","metadata":{"doi":"10.25504/FAIRsharing.dee5fb","name":"IUPAC-IUB Commission on Biochemical Nomenclature - Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents","status":"ready","contacts":[{"contact_name":"Gerard P. Moss","contact_email":"g.p.moss@qmul.ac.uk"}],"homepage":"https://www.qmul.ac.uk/sbcs/iupac/misc/naabb.html","identifier":950,"description":"The Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents, created by the IIUPAC-IUB Commission on Biochemical Nomenclature, formalizes the naming scheme for simple nucleotides; nucleotide coenzymes and related substances; nucleic acids; and modified bases, sugars, or phosphates in polynucleotides. It also describes the 3-letter and 1-letter symbols for these substances.","abbreviation":"CBN - Nucleic acid constituents","support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iupac/jcbn/membr.html","name":"Contact Committee Members","type":"Contact form"},{"url":"https://www.qmul.ac.uk/sbcs/iupac/bibliog/white.html","name":"Biochemical Nomenclature and Related Documents","type":"Help documentation"}],"year_creation":1970},"legacy_ids":["bsg-001399","bsg-s001399"],"name":"FAIRsharing record for: IUPAC-IUB Commission on Biochemical Nomenclature - Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents","abbreviation":"CBN - Nucleic acid constituents","url":"https://fairsharing.org/10.25504/FAIRsharing.dee5fb","doi":"10.25504/FAIRsharing.dee5fb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents, created by the IIUPAC-IUB Commission on Biochemical Nomenclature, formalizes the naming scheme for simple nucleotides; nucleotide coenzymes and related substances; nucleic acids; and modified bases, sugars, or phosphates in polynucleotides. It also describes the 3-letter and 1-letter symbols for these substances.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Natural Science"],"domains":["Nucleic acid sequence","Nucleic acid","Nucleotide","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2796,"pubmed_id":null,"title":"Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents","year":2009,"url":"https://www.degruyter.com/view/j/pac.1974.40.issue-3/pac197440030277/pac197440030277.xml","authors":"IUPAC-/VB Commission on Biochemical Nomenclature","journal":"The Scientific Journal of IUPAC","doi":null,"created_at":"2021-09-30T08:27:43.780Z","updated_at":"2021-09-30T08:27:43.780Z"}],"licence_links":[],"grants":[{"id":6491,"fairsharing_record_id":950,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:28:02.825Z","updated_at":"2021-09-30T09:28:02.825Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}},{"id":9158,"fairsharing_record_id":950,"organisation_id":1533,"relation":"maintains","created_at":"2022-04-11T12:07:18.322Z","updated_at":"2022-04-11T12:07:18.322Z","grant_id":null,"is_lead":true,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"951","type":"fairsharing_records","attributes":{"created_at":"2020-09-29T13:04:32.000Z","updated_at":"2022-07-20T10:40:31.399Z","metadata":{"doi":"10.25504/FAIRsharing.cdd9bf","name":"Geographic Tagged Image File Format","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"memberadmin@ogc.org"}],"homepage":"http://www.opengis.net/doc/IS/GeoTIFF/1.1","identifier":951,"description":"The Geographic Tagged Image File Format (GeoTIFF) format is used throughout the geospatial and earth science communities to share geographic image data. GeoTIFF is based on the TIFF format and is used as an interchange format for georeferenced raster imagery. GeoTIFF defines a set of TIFF tags provided to describe all \"Cartographic\" information associated with TIFF imagery that originates from satellite imaging systems, scanned aerial photography, scanned maps, digital elevation models, or as a result of geographic analyses. The goal is to provide a consistent mechanism for referencing a raster image to a known model space or earth-based coordinate reference system and for describing those coordinate reference systems.","abbreviation":"GeoTIFF","support_links":[{"url":"https://www.ogc.org/contacts","name":"OGC Contact Form","type":"Contact form"},{"url":"http://ogc.standardstracker.org/","name":"OGC Issue Tracker","type":"Forum"},{"url":"https://earthdata.nasa.gov/esdis/eso/standards-and-references/geotiff","name":"NASA GeoTIFF Guide","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GeoTIFF","name":"GeoTIFF Wikipedia Entry","type":"Wikipedia"}],"year_creation":1995},"legacy_ids":["bsg-001531","bsg-s001531"],"name":"FAIRsharing record for: Geographic Tagged Image File Format","abbreviation":"GeoTIFF","url":"https://fairsharing.org/10.25504/FAIRsharing.cdd9bf","doi":"10.25504/FAIRsharing.cdd9bf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geographic Tagged Image File Format (GeoTIFF) format is used throughout the geospatial and earth science communities to share geographic image data. GeoTIFF is based on the TIFF format and is used as an interchange format for georeferenced raster imagery. GeoTIFF defines a set of TIFF tags provided to describe all \"Cartographic\" information associated with TIFF imagery that originates from satellite imaging systems, scanned aerial photography, scanned maps, digital elevation models, or as a result of geographic analyses. The goal is to provide a consistent mechanism for referencing a raster image to a known model space or earth-based coordinate reference system and for describing those coordinate reference systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Geodesy"],"domains":["Geographical location","Imaging","Image"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":1879,"relation":"undefined"}],"grants":[{"id":6492,"fairsharing_record_id":951,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:02.893Z","updated_at":"2021-09-30T09:28:02.893Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"939","type":"fairsharing_records","attributes":{"created_at":"2015-07-20T13:33:05.000Z","updated_at":"2022-03-16T15:17:21.157Z","metadata":{"doi":"10.25504/FAIRsharing.9hynwc","name":"FORCE 11 Data Citation Synthesis Group: Joint Declaration of Data Citation Principles","status":"ready","contacts":[{"contact_name":"FORCE11","contact_email":"info@force11.org","contact_orcid":null}],"homepage":"https://doi.org/10.25490/a97f-egyk","citations":[],"identifier":939,"description":"The FORCE11 Data Citation Principles cover purpose, function and attributes of citations. These principles recognize the dual necessity of creating citation practices that are both human understandable and machine-actionable. They are not comprehensive recommendations for data stewardship, but rather encourage communities to develop practices and tools that embody these principles. The principles are grouped so as to facilitate understanding, rather than according to any perceived criteria of importance.","abbreviation":"FORCE11 Data Citation Principles","support_links":[{"url":"https://force11.org/info/contact-us/","name":"Contact Form","type":"Contact form"},{"url":"https://twitter.com/FORCE11rescomm","name":"@FORCE11rescomm","type":"Twitter"},{"url":"https://force11.org/info/get-involved-post-content-to-force11-website/","name":"Help, Support, \u0026 Resources","type":"Help documentation"},{"url":"https://upstream.force11.org/","name":"FORCE 11 Upstream Blog","type":"Blog/News"},{"url":"https://force11.org/about/code-of-conduct/","name":"Code of conduct","type":"Other"},{"url":"force11.slack.com","name":"force11.slack.com","type":"Other"},{"url":"https://force11.org/info/terms-of-use/","name":"Terms of use","type":"Help documentation"},{"url":"https://github.com/force11","name":"FORCE 11 on GitHub","type":"Github"},{"url":"https://force11.org/info/open-licensing-and-open-source/","name":"Open Licensing \u0026 Open Source","type":"Help documentation"},{"url":"https://docs.google.com/document/d/1lmuIqTgkpMffS4-e0tdfzGt2D4l2p5tbOf3lurYaqzE/edit?usp=sharing","name":"Bylaws","type":"Other"},{"url":"softwarecitationimplementationwg@force11.org","name":"FORCE11 Software Citation Implementation WG","type":"Support email"},{"url":"https://force11.org/privacy-policy","name":"Privacy policy","type":"Other"},{"url":"https://force11.org/info/people-at-force11/","name":"Membership Information","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/FORCE11","name":"FORCE11 Wiki","type":"Wikipedia"},{"url":"https://www.facebook.com/FORCE11ResearchCommunication/","name":"FORCE11 on Facebook","type":"Facebook"},{"url":"https://www.linkedin.com/company/force11rescomm","name":"FORCE11 on LinkedIn","type":"Other"},{"url":"https://www.youtube.com/channel/UCeoSUmlntunLJU29ODPzx6g","name":"YouTube Channel","type":"Video"}],"year_creation":2011,"cross_references":[{"url":"https://scicrunch.org/resolver/RRID:SCR_005334","name":"RRID:SCR_005334","portal":"SciCrunch"}]},"legacy_ids":["bsg-000603","bsg-s000603"],"name":"FAIRsharing record for: FORCE 11 Data Citation Synthesis Group: Joint Declaration of Data Citation Principles","abbreviation":"FORCE11 Data Citation Principles","url":"https://fairsharing.org/10.25504/FAIRsharing.9hynwc","doi":"10.25504/FAIRsharing.9hynwc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FORCE11 Data Citation Principles cover purpose, function and attributes of citations. These principles recognize the dual necessity of creating citation practices that are both human understandable and machine-actionable. They are not comprehensive recommendations for data stewardship, but rather encourage communities to develop practices and tools that embody these principles. The principles are grouped so as to facilitate understanding, rather than according to any perceived criteria of importance.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12051}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Subject Agnostic"],"domains":["Citation"],"taxonomies":["All"],"user_defined_tags":["digital research data"],"countries":["Worldwide"],"publications":[{"id":3258,"pubmed_id":null,"title":"Software citation principles","year":2016,"url":"http://dx.doi.org/10.7717/peerj-cs.86","authors":"Smith, Arfon M.; Katz, Daniel S.; Niemeyer, Kyle E.","journal":"PeerJ Computer Science","doi":"10.7717/peerj-cs.86","created_at":"2022-03-16T05:52:05.165Z","updated_at":"2022-03-16T05:57:59.322Z"},{"id":3260,"pubmed_id":null,"title":"Social infrastructures in research communication: a personal view of the FORCE11 story","year":2018,"url":"http://dx.doi.org/10.1629/uksg.404","authors":"Neylon, Cameron; ","journal":"Insights the UKSG journal","doi":"10.1629/uksg.404","created_at":"2022-03-16T06:51:14.696Z","updated_at":"2022-03-16T06:51:14.696Z"},{"id":3261,"pubmed_id":null,"title":"Achieving human and machine accessibility of cited data in scholarly publications","year":2015,"url":"http://dx.doi.org/10.7717/peerj-cs.1","authors":"Starr, Joan; Castro, Eleni; Crosas, Mercè; Dumontier, Michel; Downs, Robert R.; Duerr, Ruth; Haak, Laurel L.; Haendel, Melissa; Herman, Ivan; Hodson, Simon; Hourclé, Joe; Kratz, John Ernest; Lin, Jennifer; Nielsen, Lars Holm; Nurnberger, Amy; Proell, Stefan; Rauber, Andreas; Sacchi, Simone; Smith, Arthur; Taylor, Mike; Clark, Tim; ","journal":"PeerJ Computer Science","doi":"10.7717/peerj-cs.1","created_at":"2022-03-16T06:53:55.732Z","updated_at":"2022-03-16T06:53:55.732Z"},{"id":3262,"pubmed_id":null,"title":"Force11 White Paper: Improving The Future of Research Communications and e-Scholarship","year":2011,"url":"https://docs.google.com/viewer?a=v\u0026pid=sites\u0026srcid=ZGVmYXVsdGRvbWFpbnxmdXR1cmVvZnJlc2VhcmNoY29tbXVuaWNhdGlvbnN8Z3g6M2FhNTMyOWRiZjk5NGFmNg","authors":"Editors: Phil Bourne, UCSD; Tim Clark, Harvard/MGH; Robert Dale, Macquarie University; Anita de Waard, Elsevier Labs; Ivan Herman, W3C; Eduard Hovy, ISI/USC; David Shotton, Oxford University","journal":"https://force11.org/info/force11-manifesto/","doi":"","created_at":"2022-03-16T06:57:21.953Z","updated_at":"2022-03-16T06:57:21.953Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2627,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2626,"relation":"applies_to_content"}],"grants":[{"id":6478,"fairsharing_record_id":939,"organisation_id":1086,"relation":"maintains","created_at":"2021-09-30T09:28:02.363Z","updated_at":"2022-03-16T15:16:53.713Z","grant_id":null,"is_lead":true,"saved_state":{"id":1086,"name":"Future of Research Communications and e-Scholarship (FORCE11), Ja Lolla, CA, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBhQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ea965cae05ee58530a692df08eec7e298445a574/force11-logotype-horizontal.png?disposition=inline","exhaustive_licences":false}},{"id":"940","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T13:27:01.000Z","updated_at":"2021-11-24T13:13:26.546Z","metadata":{"doi":"10.25504/FAIRsharing.3e194c","name":"Terse RDF Triple Language","status":"ready","contacts":[{"contact_name":"Dave Beckett","contact_email":"dave@dajobe.org"}],"homepage":"http://www.w3.org/TR/turtle/","identifier":940,"description":"Turtle is a format which outlines the serialisation of Resource description framework (RDF). Turtle is a textual syntax for RDF that allows an RDF graph to be completely written in a compact and natural text form, with abbreviations for common usage patterns and datatypes. Turtle provides levels of compatibility with the N-Triples format as well as the triple pattern syntax of the SPARQL W3C Recommendation.","abbreviation":"Turtle","support_links":[{"url":"public-rdf-comments@w3.org","name":"Working Group Contact","type":"Support email"}],"year_creation":2011},"legacy_ids":["bsg-001282","bsg-s001282"],"name":"FAIRsharing record for: Terse RDF Triple Language","abbreviation":"Turtle","url":"https://fairsharing.org/10.25504/FAIRsharing.3e194c","doi":"10.25504/FAIRsharing.3e194c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Turtle is a format which outlines the serialisation of Resource description framework (RDF). Turtle is a textual syntax for RDF that allows an RDF graph to be completely written in a compact and natural text form, with abbreviations for common usage patterns and datatypes. Turtle provides levels of compatibility with the N-Triples format as well as the triple pattern syntax of the SPARQL W3C Recommendation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1385,"relation":"undefined"}],"grants":[{"id":6479,"fairsharing_record_id":940,"organisation_id":3206,"relation":"maintains","created_at":"2021-09-30T09:28:02.395Z","updated_at":"2021-09-30T09:28:02.395Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"931","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-27T15:59:26.929Z","metadata":{"doi":"10.25504/FAIRsharing.gr06tm","name":"CONSOlidated standards of Reporting Trials","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/consort/","citations":[],"identifier":931,"description":"CONSORT encompasses various initiatives developed by the CONSORT Group to alleviate the problems arising from inadequate reporting of randomized controlled trials (RCTs). The 2010 guideline is intended to improve the reporting of parallel-group randomized controlled trial (RCT), enabling readers to understand a trial's design, conduct, analysis and interpretation, and to assess the validity of its results. This can only be achieved through complete adherence and transparency by authors. CONSORT 2010 was developed through collaboration and consensus between clinical trial methodologists, guideline developers, knowledge translation specialists, and journal editors (see CONSORT group ). CONSORT 2010 is the current version of the guideline and supersedes the 2001 and 1996 versions . It contains a 25-item checklist and flow diagram.","abbreviation":"CONSORT","support_links":[{"url":"https://www.youtube.com/user/CONSORTStatement","name":"Youtube","type":"Video"},{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"http://www.consort-statement.org/examples","type":"Help documentation"},{"url":"http://www.consort-statement.org/download/Media/Default/Downloads/CONSORT%202010%20Checklist.doc","type":"Help documentation"},{"url":"https://twitter.com/CONSORTing","type":"Twitter"}],"year_creation":2003},"legacy_ids":["bsg-000141","bsg-s000141"],"name":"FAIRsharing record for: CONSOlidated standards of Reporting Trials","abbreviation":"CONSORT","url":"https://fairsharing.org/10.25504/FAIRsharing.gr06tm","doi":"10.25504/FAIRsharing.gr06tm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CONSORT encompasses various initiatives developed by the CONSORT Group to alleviate the problems arising from inadequate reporting of randomized controlled trials (RCTs). The 2010 guideline is intended to improve the reporting of parallel-group randomized controlled trial (RCT), enabling readers to understand a trial's design, conduct, analysis and interpretation, and to assess the validity of its results. This can only be achieved through complete adherence and transparency by authors. CONSORT 2010 was developed through collaboration and consensus between clinical trial methodologists, guideline developers, knowledge translation specialists, and journal editors (see CONSORT group ). CONSORT 2010 is the current version of the guideline and supersedes the 2001 and 1996 versions . It contains a 25-item checklist and flow diagram.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11955},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12415},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16934}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Data acquisition"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":13,"pubmed_id":20352064,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1371/journal.pmed.1000251","authors":"Schulz KF, Altman DG, Moher D; CONSORT Group.","journal":"PLoS Med.","doi":"10.1371/journal.pmed.1000251","created_at":"2021-09-30T08:22:21.895Z","updated_at":"2021-09-30T08:22:21.895Z"},{"id":802,"pubmed_id":20334632,"title":"CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1186/1745-6215-11-32","authors":"Schulz KF,Altman DG,Moher D","journal":"Trials","doi":"10.1186/1745-6215-11-32","created_at":"2021-09-30T08:23:48.462Z","updated_at":"2021-09-30T08:23:48.462Z"},{"id":824,"pubmed_id":20410783,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomized trials.","year":2010,"url":"http://doi.org/10.1097/AOG.0b013e3181d9d421","authors":"Schulz KF,Altman DG,Moher D","journal":"Obstet Gynecol","doi":"10.1097/AOG.0b013e3181d9d421","created_at":"2021-09-30T08:23:50.839Z","updated_at":"2021-09-30T08:23:50.839Z"},{"id":2397,"pubmed_id":20346629,"title":"CONSORT 2010 Statement: Updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1016/j.jclinepi.2010.02.005","authors":"Schulz KF,Altman DG,Moher D","journal":"J Clin Epidemiol","doi":"10.1016/j.jclinepi.2010.02.005","created_at":"2021-09-30T08:26:54.352Z","updated_at":"2021-09-30T08:26:54.352Z"},{"id":2398,"pubmed_id":20332509,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1136/bmj.c332","authors":"Schulz KF,Altman DG,Moher D","journal":"BMJ","doi":"10.1136/bmj.c332","created_at":"2021-09-30T08:26:54.453Z","updated_at":"2021-09-30T08:26:54.453Z"},{"id":2818,"pubmed_id":20334633,"title":"CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1186/1741-7015-8-18","authors":"Schulz KF,Altman DG,Moher D","journal":"BMC Med","doi":"10.1186/1741-7015-8-18","created_at":"2021-09-30T08:27:46.563Z","updated_at":"2021-09-30T08:27:46.563Z"},{"id":2828,"pubmed_id":20335313,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomized trials.","year":2010,"url":"http://doi.org/10.7326/0003-4819-152-11-201006010-00232","authors":"Schulz KF,Altman DG,Moher D","journal":"Ann Intern Med","doi":"10.7326/0003-4819-152-11-201006010-00232","created_at":"2021-09-30T08:27:47.881Z","updated_at":"2021-09-30T08:27:47.881Z"},{"id":2829,"pubmed_id":20332511,"title":"CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1136/bmj.c869","authors":"Moher D,Hopewell S,Schulz KF,Montori V,Gotzsche PC,Devereaux PJ,Elbourne D,Egger M,Altman DG","journal":"BMJ","doi":"10.1136/bmj.c869","created_at":"2021-09-30T08:27:47.998Z","updated_at":"2021-09-30T08:27:47.998Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":1377,"relation":"undefined"}],"grants":[{"id":6460,"fairsharing_record_id":931,"organisation_id":996,"relation":"funds","created_at":"2021-09-30T09:28:01.691Z","updated_at":"2021-09-30T09:28:01.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":996,"name":"Family Hearth International (FHI 360), Durham, NC, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6458,"fairsharing_record_id":931,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:28:01.635Z","updated_at":"2021-09-30T09:28:01.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6459,"fairsharing_record_id":931,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:01.660Z","updated_at":"2021-09-30T09:28:01.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6462,"fairsharing_record_id":931,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:28:01.820Z","updated_at":"2021-09-30T09:28:01.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11396,"fairsharing_record_id":931,"organisation_id":2280,"relation":"funds","created_at":"2024-02-20T11:26:16.556Z","updated_at":"2024-02-20T11:26:16.556Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"988","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:50.565Z","metadata":{"doi":"10.25504/FAIRsharing.ap169a","name":"Minimal Information Required In the Annotation of Models","status":"ready","contacts":[{"contact_name":"Nicolas Le Novère","contact_email":"n.lenovere@gmail.com","contact_orcid":"0000-0002-6309-7327"}],"homepage":"http://co.mbine.org/standards/miriam","citations":[{"doi":"10.1038/nbt1156","pubmed_id":16333295,"publication_id":2410}],"identifier":988,"description":"The Minimal Information Required In the Annotation of Models (MIRIAM), initiated by the BioModels.net effort, is a set of guidelines for the consistent annotation and curation of computational models in biology. It is suitable for use with any structured format for computational models.","abbreviation":"MIRIAM","year_creation":2005},"legacy_ids":["bsg-000178","bsg-s000178"],"name":"FAIRsharing record for: Minimal Information Required In the Annotation of Models","abbreviation":"MIRIAM","url":"https://fairsharing.org/10.25504/FAIRsharing.ap169a","doi":"10.25504/FAIRsharing.ap169a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimal Information Required In the Annotation of Models (MIRIAM), initiated by the BioModels.net effort, is a set of guidelines for the consistent annotation and curation of computational models in biology. It is suitable for use with any structured format for computational models.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11159},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11590},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11715},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11993},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12212},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16937}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Life Science","Biomedical Science"],"domains":["Mathematical model","Annotation","Chemical entity","Modeling and simulation","Enzymatic reaction","Protein","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":362,"pubmed_id":18078503,"title":"MIRIAM Resources: tools to generate and resolve robust cross-references in Systems Biology.","year":2007,"url":"http://doi.org/10.1186/1752-0509-1-58","authors":"Laibe C., Le Novere N.,","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-1-58","created_at":"2021-09-30T08:22:58.900Z","updated_at":"2021-09-30T08:22:58.900Z"},{"id":1282,"pubmed_id":22140103,"title":"Identifiers.org and MIRIAM Registry: community resources to provide persistent identification.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1097","authors":"Juty N,Le Novere N,Laibe C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1097","created_at":"2021-09-30T08:24:43.090Z","updated_at":"2021-09-30T11:29:05.368Z"},{"id":2410,"pubmed_id":16333295,"title":"Minimum information requested in the annotation of biochemical models (MIRIAM).","year":2005,"url":"http://doi.org/10.1038/nbt1156","authors":"Nicolas Le Novère, Andrew Finney, Michael Hucka, Upinder S Bhalla, Fabien Campagne, Julio Collado-Vides, Edmund J Crampin, Matt Halstead, Edda Klipp, Pedro Mendes, Poul Nielsen, Herbert Sauro, Bruce Shapiro, Jacky L Snoep, Hugh D Spence, Barry L Wanner","journal":"Nat. Biotechnol.","doi":"10.1038/nbt1156","created_at":"2021-09-30T08:26:55.786Z","updated_at":"2021-09-30T08:26:55.786Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":22,"relation":"undefined"}],"grants":[{"id":6555,"fairsharing_record_id":988,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:05.382Z","updated_at":"2021-09-30T09:28:05.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6558,"fairsharing_record_id":988,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:05.479Z","updated_at":"2021-09-30T09:29:46.586Z","grant_id":397,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E005748/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8178,"fairsharing_record_id":988,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:21.338Z","updated_at":"2021-09-30T09:31:21.392Z","grant_id":1132,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"JPA 1729","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6556,"fairsharing_record_id":988,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:05.407Z","updated_at":"2021-09-30T09:28:05.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6557,"fairsharing_record_id":988,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:05.437Z","updated_at":"2021-09-30T09:28:05.437Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"989","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:50.751Z","metadata":{"doi":"10.25504/FAIRsharing.dcsw6j","name":"Common Terminology Criteria for Adverse Events","status":"ready","contacts":[{"contact_name":"CTCAE Help","contact_email":"ncictcaehelp@mail.nih.gov"}],"homepage":"http://ctep.cancer.gov/protocolDevelopment/electronic_applications/ctc.htm","citations":[],"identifier":989,"description":"A coding system for reporting adverse events that occur in the course of cancer therapy. It was derived from the Common Toxicity Criteria (CTC) v2.0 and is maintained by the Cancer Therapy Evaluation Program (CTEP) at the National Cancer Institution (NCI).","abbreviation":"CTCAE","support_links":[{"url":"NCICTCAEComments@mail.nih.gov","type":"Support email"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTCAE","name":"CTCAE","portal":"BioPortal"}]},"legacy_ids":["bsg-002644","bsg-s002644"],"name":"FAIRsharing record for: Common Terminology Criteria for Adverse Events","abbreviation":"CTCAE","url":"https://fairsharing.org/10.25504/FAIRsharing.dcsw6j","doi":"10.25504/FAIRsharing.dcsw6j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A coding system for reporting adverse events that occur in the course of cancer therapy. It was derived from the Common Toxicity Criteria (CTC) v2.0 and is maintained by the Cancer Therapy Evaluation Program (CTEP) at the National Cancer Institution (NCI).","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16654}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Cancer","Disease"],"taxonomies":["Homo sapiens","Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1960,"pubmed_id":19379294,"title":"Veterinary Co-operative Oncology Group - Common Terminology Criteria for Adverse Events (VCOG-CTCAE) following chemotherapy or biological antineoplastic therapy in dogs and cats v1.0.","year":2004,"url":"http://doi.org/10.1111/j.1476-5810.2004.0053b.x","authors":"Veterinary Co-operative Oncology Group (VCOG)","journal":"Vet Comp Oncol","doi":"10.1111/j.1476-5810.2004.0053b.x","created_at":"2021-09-30T08:26:00.557Z","updated_at":"2021-09-30T08:26:00.557Z"}],"licence_links":[],"grants":[{"id":9471,"fairsharing_record_id":989,"organisation_id":1954,"relation":"maintains","created_at":"2022-04-28T15:30:23.312Z","updated_at":"2022-04-28T15:30:23.312Z","grant_id":null,"is_lead":true,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"990","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:17:10.453Z","metadata":{"doi":"10.25504/FAIRsharing.hbh5mk","name":"Human Physiome Field Markup Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"contact@physiomeproject.org"}],"homepage":"http://physiomeproject.org/software/fieldml","citations":[{"doi":"10.1007/s11517-013-1097-7","pubmed_id":23900627,"publication_id":691}],"identifier":990,"description":"FieldML is a declarative language for building hierarchical models represented by generalized mathematical fields. FieldML is developed as a data model and accompanying API. FieldML can be used to represent the dynamic 3D geometry and solution fields from computational models of cells, tissues and organs. It enables model interchange for the bioengineering and general engineering analysis communities. Example uses are models of tissue structure, the distribution of proteins and other biochemical compounds, anatomical annotation, and other biological annotation.","abbreviation":"FieldML","support_links":[{"url":"contact@physiomeproject.org","name":"General Contact","type":"Support email"},{"url":"https://tracker.physiomeproject.org/","name":"Physiome Project Tracker","type":"Forum"},{"url":"fieldml-developers@lists.sourceforge.net","name":"Developers' Mailing List","type":"Mailing list"},{"url":"https://github.com/FieldML/FieldML-API","name":"API Documentation","type":"Github"},{"url":"http://physiomeproject.org/software/fieldml/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/physiomeproject","name":"@physiomeproject","type":"Twitter"}],"year_creation":1997},"legacy_ids":["bsg-000568","bsg-s000568"],"name":"FAIRsharing record for: Human Physiome Field Markup Language","abbreviation":"FieldML","url":"https://fairsharing.org/10.25504/FAIRsharing.hbh5mk","doi":"10.25504/FAIRsharing.hbh5mk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FieldML is a declarative language for building hierarchical models represented by generalized mathematical fields. FieldML is developed as a data model and accompanying API. FieldML can be used to represent the dynamic 3D geometry and solution fields from computational models of cells, tissues and organs. It enables model interchange for the bioengineering and general engineering analysis communities. Example uses are models of tissue structure, the distribution of proteins and other biochemical compounds, anatomical annotation, and other biological annotation.","linked_records":[],"linking_records":[{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11881},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12060},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12219},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16947}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Anatomy","Physiology","Biomedical Science","Bioengineering","Systems Biology"],"domains":["Modeling and simulation","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":691,"pubmed_id":23900627,"title":"FieldML, a proposed open standard for the Physiome project for mathematical model representation.","year":2013,"url":"http://doi.org/10.1007/s11517-013-1097-7","authors":"Britten RD, Christie GR, Little C, Miller AK, Bradley C, Wu A, Yu T, Hunter P, Nielsen P.","journal":"Med Biol Eng Comput","doi":"10.1007/s11517-013-1097-7","created_at":"2021-09-30T08:23:36.161Z","updated_at":"2021-09-30T08:23:36.161Z"},{"id":696,"pubmed_id":19380316,"title":"FieldML: concepts and implementation","year":2009,"url":"http://doi.org/10.1098/rsta.2009.0025","authors":"Christie GR, Nielsen PM, Blackett SA, Bradley CP, Hunter PJ.","journal":"Philos Trans A Math Phys Eng Sci.","doi":"10.1098/rsta.2009.0025","created_at":"2021-09-30T08:23:36.711Z","updated_at":"2021-09-30T08:23:36.711Z"}],"licence_links":[{"licence_name":"Physiome Project Open Source Policy","licence_id":666,"licence_url":"http://physiomeproject.org/about/open-source-policy","link_id":116,"relation":"undefined"}],"grants":[{"id":6560,"fairsharing_record_id":990,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:05.580Z","updated_at":"2021-09-30T09:30:47.691Z","grant_id":874,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"224495","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6561,"fairsharing_record_id":990,"organisation_id":1536,"relation":"maintains","created_at":"2021-09-30T09:28:05.622Z","updated_at":"2021-09-30T09:28:05.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":1536,"name":"International Union of Physiological Sciences (IUPS)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6562,"fairsharing_record_id":990,"organisation_id":1311,"relation":"maintains","created_at":"2021-09-30T09:28:05.649Z","updated_at":"2021-09-30T09:28:05.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1311,"name":"IEEE Engineering in Medicine and Biology Society (EMBS), Piscataway, NJ, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"991","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T20:07:58.000Z","updated_at":"2023-11-07T17:28:23.817Z","metadata":{"doi":"10.25504/FAIRsharing.riJmuf","name":"NISO Metadata for Images in XML Schema","status":"ready","contacts":[{"contact_name":"Oya Y. Rieger","contact_email":"oyr1@cornell.edu"}],"homepage":"https://www.loc.gov/standards/mix/","citations":[],"identifier":991,"description":"The XML-based schema for encoding the NISO Data Dictionary - Technical Metadata for Digital Still Images (ANSI/NISO Z39.87-2006).","abbreviation":"NISO MIX","support_links":[{"url":"mix@loc.gov","name":"MIX Listserv","type":"Mailing list"},{"url":"https://www.niso.org/publications/ansiniso-z3987-2006-r2017-data-dictionary-technical-metadata-digital-still-images","name":"ANSI/NISO Z39.87-2006 (R2017)","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-001255","bsg-s001255"],"name":"FAIRsharing record for: NISO Metadata for Images in XML Schema","abbreviation":"NISO MIX","url":"https://fairsharing.org/10.25504/FAIRsharing.riJmuf","doi":"10.25504/FAIRsharing.riJmuf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The XML-based schema for encoding the NISO Data Dictionary - Technical Metadata for Digital Still Images (ANSI/NISO Z39.87-2006).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Image","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6563,"fairsharing_record_id":991,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:05.679Z","updated_at":"2021-09-30T09:28:05.679Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"992","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T22:40:00.000Z","updated_at":"2023-09-29T11:54:59.624Z","metadata":{"doi":"10.25504/FAIRsharing.265943","name":"Language resource management -- Morpho-syntactic annotation framework (MAF)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/51934.html","citations":[],"identifier":992,"description":"ISO 24611:2012 provides a framework for the representation of annotations of word-forms in texts; such annotations concern tokens, their relationship with lexical units, and their morpho-syntactic properties.It describes a metamodel for morpho-syntactic annotation that relates to a reference to the data categories contained in the ISOCat data category registry (DCR, as defined in ISO 12620). It also describes an XML serialization for morpho-syntactic annotations, with equivalences to the guidelines of the TEI (text encoding initiative).","abbreviation":"ISO 24611:2012","support_links":[{"url":"https://www.iso.org/contents/data/standard/05/19/51934.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001251","bsg-s001251"],"name":"FAIRsharing record for: Language resource management -- Morpho-syntactic annotation framework (MAF)","abbreviation":"ISO 24611:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.265943","doi":"10.25504/FAIRsharing.265943","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24611:2012 provides a framework for the representation of annotations of word-forms in texts; such annotations concern tokens, their relationship with lexical units, and their morpho-syntactic properties.It describes a metamodel for morpho-syntactic annotation that relates to a reference to the data categories contained in the ISOCat data category registry (DCR, as defined in ISO 12620). It also describes an XML serialization for morpho-syntactic annotations, with equivalences to the guidelines of the TEI (text encoding initiative).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":813,"relation":"undefined"}],"grants":[{"id":6564,"fairsharing_record_id":992,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:05.721Z","updated_at":"2021-09-30T09:28:05.721Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10930,"fairsharing_record_id":992,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:21:36.344Z","updated_at":"2023-09-27T14:21:36.344Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"974","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:02:58.897Z","metadata":{"doi":"10.25504/FAIRsharing.jcg19w","name":"Kinetic Simulation Algorithm Ontology","status":"ready","contacts":[{"contact_name":"Nicolas Le Novère","contact_email":"lenov@ebi.ac.uk","contact_orcid":"0000-0002-6309-7327"}],"homepage":"http://co.mbine.org/standards/kisao","citations":[],"identifier":974,"description":"The Kinetic Simulation Algorithm Ontology aims at providing support in unambiguously referring to simulation algorithms when describing a simulation experiment. It describes and classifies existing algorithms and their inter-relationships through the algorithm characteristics and parameters.","abbreviation":"KiSAO","support_links":[{"url":"https://sourceforge.net/p/kisao/feature-requests/new/","name":"Submit a ticket","type":"Contact form"},{"url":"biomodels-net-support@lists.sf.net","name":"Mailing List","type":"Mailing list"}],"year_creation":2015,"associated_tools":[{"url":"http://co.mbine.org/standards/kisao/libkisao","name":"libKiSAO"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/KISAO","name":"KISAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/kisao.html","name":"kisao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002642","bsg-s002642"],"name":"FAIRsharing record for: Kinetic Simulation Algorithm Ontology","abbreviation":"KiSAO","url":"https://fairsharing.org/10.25504/FAIRsharing.jcg19w","doi":"10.25504/FAIRsharing.jcg19w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Kinetic Simulation Algorithm Ontology aims at providing support in unambiguously referring to simulation algorithms when describing a simulation experiment. It describes and classifies existing algorithms and their inter-relationships through the algorithm characteristics and parameters.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11184},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12095},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12230},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16949}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Computer Science"],"domains":["Kinetic model","Modeling and simulation","Algorithm"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":22,"pubmed_id":22027554,"title":"Controlled vocabularies and semantics in systems biology.","year":2011,"url":"http://doi.org/10.1038/msb.2011.77","authors":"Courtot M,Juty N,Knupfer C et al.","journal":"Mol Syst Biol","doi":"10.1038/msb.2011.77","created_at":"2021-09-30T08:22:22.740Z","updated_at":"2021-09-30T08:22:22.740Z"}],"licence_links":[{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":2192,"relation":"undefined"}],"grants":[{"id":6532,"fairsharing_record_id":974,"organisation_id":1636,"relation":"maintains","created_at":"2021-09-30T09:28:04.564Z","updated_at":"2021-09-30T09:28:04.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1636,"name":"Kinetic Simulation Algorithm Ontology (KiSAO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"975","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.642Z","metadata":{"doi":"10.25504/FAIRsharing.3ychgy","name":"Immune Disorder Ontology","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"RScheuermann@jcvi.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/3127","identifier":975,"description":"The Immune Disorder Ontology was generated as part of the Bioinformatics Integration Support Contract (BISC) funded by the Division of Allergy, Immunology and Transplantation (DAIT) within NIAID. The ontology is based on the National Library of Medicine (NLM) Medical Subject Headings; National Cancer Institute Thesaurus; International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM); ICD-10; and other open source public databases.","abbreviation":"ImmDis","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IMMDIS","name":"IMMDIS","portal":"BioPortal"}],"deprecation_date":"2016-11-22","deprecation_reason":"Contact with one of the creators of this ontology, Richard Scheuermann, revealed that this ontology was developed as part of the BISC/ImmPort project and is no longer in use."},"legacy_ids":["bsg-002836","bsg-s002836"],"name":"FAIRsharing record for: Immune Disorder Ontology","abbreviation":"ImmDis","url":"https://fairsharing.org/10.25504/FAIRsharing.3ychgy","doi":"10.25504/FAIRsharing.3ychgy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Immune Disorder Ontology was generated as part of the Bioinformatics Integration Support Contract (BISC) funded by the Division of Allergy, Immunology and Transplantation (DAIT) within NIAID. The ontology is based on the National Library of Medicine (NLM) Medical Subject Headings; National Cancer Institute Thesaurus; International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM); ICD-10; and other open source public databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunology","Biomedical Science"],"domains":["Disease","Immune system"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6533,"fairsharing_record_id":975,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:04.588Z","updated_at":"2021-09-30T09:28:04.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"976","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T08:56:25.000Z","updated_at":"2022-12-13T10:25:25.674Z","metadata":{"doi":"10.25504/FAIRsharing.44plg5","name":"VOSpace Service Specification","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOSpace/","citations":[{"publication_id":2951}],"identifier":976,"description":"VOSpace is the IVOA interface to distributed storage. This specification presents the second RESTful version of the interface. It specifies how VO agents and applications can use network attached data stores to persist and exchange data in a standard way.","abbreviation":"VOSpace","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOSpaceHome","name":"VOSpace Wiki","type":"Help documentation"},{"url":"http://ivoa.net/documents/VOSpace/20170924/PR-VOSpace-2.1-20170924.html","name":"View Standard","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001191","bsg-s001191"],"name":"FAIRsharing record for: VOSpace Service Specification","abbreviation":"VOSpace","url":"https://fairsharing.org/10.25504/FAIRsharing.44plg5","doi":"10.25504/FAIRsharing.44plg5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOSpace is the IVOA interface to distributed storage. This specification presents the second RESTful version of the interface. It specifies how VO agents and applications can use network attached data stores to persist and exchange data in a standard way.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11457}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2951,"pubmed_id":null,"title":"VOSpace Version 2.1","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0621G","authors":"Graham, Matthew; Major, Brian; Morris, Dave; Rixon, Guy; Dowler, Pat; Schaaff, André; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.702Z","updated_at":"2021-09-30T08:28:03.702Z"}],"licence_links":[],"grants":[{"id":6534,"fairsharing_record_id":976,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:04.615Z","updated_at":"2021-09-30T09:28:04.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6535,"fairsharing_record_id":976,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:04.703Z","updated_at":"2021-09-30T09:28:04.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"977","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.698Z","metadata":{"doi":"10.25504/FAIRsharing.fsk662","name":"Host Pathogen Interactions Ontology","status":"ready","contacts":[{"contact_name":"Ina Hulsegge","contact_email":"ina.hulsegge@wur.nl","contact_orcid":"0000-0002-7015-6540"}],"homepage":"http://bioportal.bioontology.org/ontologies/HPIO","identifier":977,"description":"Ontology for host pathogen interactions in farmed animals.","abbreviation":"HPIO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HPIO","name":"HPIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002702","bsg-s002702"],"name":"FAIRsharing record for: Host Pathogen Interactions Ontology","abbreviation":"HPIO","url":"https://fairsharing.org/10.25504/FAIRsharing.fsk662","doi":"10.25504/FAIRsharing.fsk662","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for host pathogen interactions in farmed animals.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16956}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Animal research","Pathogen"],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":1016,"pubmed_id":22228038,"title":"Contributions to an animal trait ontology.","year":2012,"url":"http://doi.org/10.2527/jas.2011-4251","authors":"Hulsegge B, Smits MA, te Pas MF, Woelders H","journal":"J Anim Sci","doi":"10.2527/jas.2011-4251","created_at":"2021-09-30T08:24:12.480Z","updated_at":"2021-09-30T08:24:12.480Z"}],"licence_links":[],"grants":[{"id":6536,"fairsharing_record_id":977,"organisation_id":3215,"relation":"maintains","created_at":"2021-09-30T09:28:04.741Z","updated_at":"2021-09-30T09:28:04.741Z","grant_id":null,"is_lead":false,"saved_state":{"id":3215,"name":"Wageningen University and Research, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"978","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.757Z","metadata":{"doi":"10.25504/FAIRsharing.xg0685","name":"Diagnostic Ontology","status":"ready","contacts":[{"contact_name":"Amrapali Zaveri","contact_email":"amrapali.j.zaveri@gmail.com","contact_orcid":"0000-0003-3239-4588"}],"homepage":"http://bioportal.bioontology.org/ontologies/3013","identifier":978,"description":"The Diagnostic Ontology is a computational diagnostic ontology containing 91 elements, including classes and sub-classes, which are required to conduct Systematic Reviews - Meta Analysis (SR-MA) for diagnostic studies, which will assist in standardized reporting of diagnostic articles. SR-MA are studies that aggregate several studies to come to one conclusion for a particular research question.","abbreviation":null,"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DIAGONT","name":"DIAGONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002787","bsg-s002787"],"name":"FAIRsharing record for: Diagnostic Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xg0685","doi":"10.25504/FAIRsharing.xg0685","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Diagnostic Ontology is a computational diagnostic ontology containing 91 elements, including classes and sub-classes, which are required to conduct Systematic Reviews - Meta Analysis (SR-MA) for diagnostic studies, which will assist in standardized reporting of diagnostic articles. SR-MA are studies that aggregate several studies to come to one conclusion for a particular research question.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12502}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Systematic review","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Singapore","United States"],"publications":[{"id":1795,"pubmed_id":22629329,"title":"Center of excellence in research reporting in neurosurgery--diagnostic ontology.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0036759","authors":"Zaveri A,Shah J,Pradhan S,Rodrigues C,Barros J,Ang BT,Pietrobon R","journal":"PLoS One","doi":"10.1371/journal.pone.0036759","created_at":"2021-09-30T08:25:41.544Z","updated_at":"2021-09-30T08:25:41.544Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1601,"relation":"undefined"}],"grants":[{"id":6537,"fairsharing_record_id":978,"organisation_id":2054,"relation":"maintains","created_at":"2021-09-30T09:28:04.774Z","updated_at":"2021-09-30T09:28:04.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":2054,"name":"National Neuroscience Institute (NNI), Singapore, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"979","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T18:55:28.000Z","updated_at":"2023-09-29T11:55:01.756Z","metadata":{"doi":"10.25504/FAIRsharing.d3400a","name":"Management of terminology resources -- TermBase eXchange (TBX)","status":"ready","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/62510.html","citations":[],"identifier":979,"description":"Management of terminology resources -- TermBase eXchange (TBX) (ISO 30042:2019) explains fundamental concepts and describes the metamodel, data categories, and XML styles: DCA (Data Category as Attribute) and DCT (Data Category as Tag). It also specifies the methodology for defining TBX dialects. The audience for this document is anyone wishing to create a new dialect compliant with TBX. This document can also be used to analyze and to understand a terminological data collection or to design a new terminology database that complies with international standards and best practices. Typical users are programmers, software developers, terminologists, analysts, and other language professionals. Intended application areas include translation and authoring. The TBX-Core dialect is described in detail in this document. All other industry-supported dialects are out of the scope of this document.","abbreviation":"ISO 30042:2019","support_links":[{"url":"https://www.iso.org/standard/45797.html","name":"Information on the superceded ISO 30042:2008","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001274","bsg-s001274"],"name":"FAIRsharing record for: Management of terminology resources -- TermBase eXchange (TBX)","abbreviation":"ISO 30042:2019","url":"https://fairsharing.org/10.25504/FAIRsharing.d3400a","doi":"10.25504/FAIRsharing.d3400a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Management of terminology resources -- TermBase eXchange (TBX) (ISO 30042:2019) explains fundamental concepts and describes the metamodel, data categories, and XML styles: DCA (Data Category as Attribute) and DCT (Data Category as Tag). It also specifies the methodology for defining TBX dialects. The audience for this document is anyone wishing to create a new dialect compliant with TBX. This document can also be used to analyze and to understand a terminological data collection or to design a new terminology database that complies with international standards and best practices. Typical users are programmers, software developers, terminologists, analysts, and other language professionals. Intended application areas include translation and authoring. The TBX-Core dialect is described in detail in this document. All other industry-supported dialects are out of the scope of this document.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":146,"relation":"undefined"}],"grants":[{"id":6538,"fairsharing_record_id":979,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:04.807Z","updated_at":"2021-09-30T09:28:04.807Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10940,"fairsharing_record_id":979,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:49:01.800Z","updated_at":"2023-09-27T14:49:01.800Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"962","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.582Z","metadata":{"doi":"10.25504/FAIRsharing.pjqe4x","name":"Graphics Interchange Format","status":"ready","homepage":"http://www.w3.org/Graphics/GIF/spec-gif87.txt","identifier":962,"description":"Graphics Interchange Format (GIF) is a standard for defining generalized color raster images. This format allows high-quality, high-resolution graphics to be displayed on a variety of graphics hardware and is intended as an exchange and display mechanism for graphics images. The format supports up to 8 bits per pixel for each image, allowing a single image to reference its own palette of up to 256 different colors chosen from the 24-bit RGB color space. It also supports animations and allows a separate palette of up to 256 colors for each frame. These palette limitations make the GIF format less suitable for reproducing color photographs and other images with continuous color, but it is well-suited for simpler images such as graphics or logos with solid areas of color.","abbreviation":"GIF","support_links":[{"url":"https://en.wikipedia.org/wiki/GIF","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":1987},"legacy_ids":["bsg-000236","bsg-s000236"],"name":"FAIRsharing record for: Graphics Interchange Format","abbreviation":"GIF","url":"https://fairsharing.org/10.25504/FAIRsharing.pjqe4x","doi":"10.25504/FAIRsharing.pjqe4x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Graphics Interchange Format (GIF) is a standard for defining generalized color raster images. This format allows high-quality, high-resolution graphics to be displayed on a variety of graphics hardware and is intended as an exchange and display mechanism for graphics images. The format supports up to 8 bits per pixel for each image, allowing a single image to reference its own palette of up to 256 different colors chosen from the 24-bit RGB color space. It also supports animations and allows a separate palette of up to 256 colors for each frame. These palette limitations make the GIF format less suitable for reproducing color photographs and other images with continuous color, but it is well-suited for simpler images such as graphics or logos with solid areas of color.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14734}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"963","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T21:38:34.000Z","updated_at":"2023-09-29T11:54:57.562Z","metadata":{"doi":"10.25504/FAIRsharing.3cfa81","name":"Linguistic Annotation Format (LAF)","status":"ready","contacts":[{"contact_name":"Nancy Ide","contact_email":"ide@cs.vassar.edu"}],"homepage":"https://www.iso.org/standard/37326.html","citations":[{"publication_id":2438}],"identifier":963,"description":"ISO 24612:2012 specifies a linguistic annotation framework (LAF) for representing linguistic annotations of language data such as corpora, speech signal and video. The framework includes an abstract data model and an XML serialization of that model for representing annotations of primary data. The serialization serves as a pivot format to allow annotations expressed in one representation format to be mapped onto another.","abbreviation":"ISO 24612:2012","support_links":[{"url":"kschoi@kaist.ac.kr","name":"TC Contact: Key-Sun Choi","type":"Support email"},{"url":"https://www.iso.org/contents/data/standard/03/73/37326.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2012},"legacy_ids":["bsg-001249","bsg-s001249"],"name":"FAIRsharing record for: Linguistic Annotation Format (LAF)","abbreviation":"ISO 24612:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.3cfa81","doi":"10.25504/FAIRsharing.3cfa81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24612:2012 specifies a linguistic annotation framework (LAF) for representing linguistic annotations of language data such as corpora, speech signal and video. The framework includes an abstract data model and an XML serialization of that model for representing annotations of primary data. The serialization serves as a pivot format to allow annotations expressed in one representation format to be mapped onto another.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2438,"pubmed_id":null,"title":"The Linguistic Annotation Framework: a standard for annotation interchange and merging","year":2014,"url":"https://link.springer.com/article/10.1007%2Fs10579-014-9268-1","authors":"Nancy Ide, Keith Suderman","journal":"Language and Resource Evaluation","doi":null,"created_at":"2021-09-30T08:26:59.102Z","updated_at":"2021-09-30T08:26:59.102Z"},{"id":2439,"pubmed_id":null,"title":"International standard for a linguistic annotation framework","year":2004,"url":"https://dl.acm.org/citation.cfm?id=1030320","authors":"L. Romary and N. Ide","journal":"Natural Language Engineering","doi":null,"created_at":"2021-09-30T08:26:59.211Z","updated_at":"2021-09-30T08:26:59.211Z"}],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":474,"relation":"undefined"}],"grants":[{"id":6518,"fairsharing_record_id":963,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:04.032Z","updated_at":"2021-09-30T09:28:04.032Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10917,"fairsharing_record_id":963,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:07:56.662Z","updated_at":"2023-09-27T14:07:56.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"964","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T19:41:24.000Z","updated_at":"2022-02-08T10:48:47.159Z","metadata":{"doi":"10.25504/FAIRsharing.b12145","name":"Multilingual Information Framework","status":"ready","contacts":[{"contact_name":"Eliza Margaretha","contact_email":"margaretha@ids-mannheim.de"}],"homepage":"https://clarin.ids-mannheim.de/standards/views/view-spec.xq;jsessionid=jztgj4dhx1r61eozukuitwsqt?id=SpecMLIF","citations":[],"identifier":964,"description":"MLIF provides a generic platform for modeling, managing, describing multilingual data within various applications in the following domains: localization, translation memories, multimedia, document management. It also specifies a metamodel and a set of generic data categories, which can be complemented by adding categories from Data Category Registry (DCR) with respect to the application domain.","abbreviation":"MLIF","year_creation":2012},"legacy_ids":["bsg-001253","bsg-s001253"],"name":"FAIRsharing record for: Multilingual Information Framework","abbreviation":"MLIF","url":"https://fairsharing.org/10.25504/FAIRsharing.b12145","doi":"10.25504/FAIRsharing.b12145","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MLIF provides a generic platform for modeling, managing, describing multilingual data within various applications in the following domains: localization, translation memories, multimedia, document management. It also specifies a metamodel and a set of generic data categories, which can be complemented by adding categories from Data Category Registry (DCR) with respect to the application domain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6519,"fairsharing_record_id":964,"organisation_id":1525,"relation":"maintains","created_at":"2021-09-30T09:28:04.069Z","updated_at":"2021-09-30T09:28:04.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"965","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.651Z","metadata":{"doi":"10.25504/FAIRsharing.nggj0j","name":"Joint Photographic Experts Group Format","status":"ready","homepage":"https://www.w3.org/Graphics/JPEG/","identifier":965,"description":"Joint Photographic Experts Group Format is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. JPEG JFIF, which is what people generally mean when they refer to \"JPEG\", is a file format created by the Independent JPEG Group (IJG) for the transport of single JPEG-compressed images. The JPEG compression format was standardised by ISO in August 1990 and commercial applications using it began to show up in 1991. The widely used IJG implementation was first publicly released in October 1991 and has been considerably developed since that time. JPEG JFIF images are widely used on the Web. The amount of compression can be adjusted to achieve the desired trade-off between file size and visual quality. Progressive JPEG is a means of reordering the information so that, after only a small part has been downloaded, a hazy view of the entire image is presented rather than a crisp view of just a small part. It is part of the original JPEG specification, but was not implemented in Web browsers until rather later on, around 1996. It is now fairly widely supported. Although the \"baseline\" variety of JPEG is believed patent-free, there are many patents associated with some optional features of JPEG, namely arithmetic coding and hierarchical storage. For this reason, these optional features are never used on the Web.","abbreviation":"JPEG Format","support_links":[{"url":"http://www.faqs.org/faqs/jpeg-faq/","name":"JPEG FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://en.wikipedia.org/wiki/JPEG#The_JPEG_standard","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":1990},"legacy_ids":["bsg-000241","bsg-s000241"],"name":"FAIRsharing record for: Joint Photographic Experts Group Format","abbreviation":"JPEG Format","url":"https://fairsharing.org/10.25504/FAIRsharing.nggj0j","doi":"10.25504/FAIRsharing.nggj0j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Joint Photographic Experts Group Format is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. JPEG JFIF, which is what people generally mean when they refer to \"JPEG\", is a file format created by the Independent JPEG Group (IJG) for the transport of single JPEG-compressed images. The JPEG compression format was standardised by ISO in August 1990 and commercial applications using it began to show up in 1991. The widely used IJG implementation was first publicly released in October 1991 and has been considerably developed since that time. JPEG JFIF images are widely used on the Web. The amount of compression can be adjusted to achieve the desired trade-off between file size and visual quality. Progressive JPEG is a means of reordering the information so that, after only a small part has been downloaded, a hazy view of the entire image is presented rather than a crisp view of just a small part. It is part of the original JPEG specification, but was not implemented in Web browsers until rather later on, around 1996. It is now fairly widely supported. Although the \"baseline\" variety of JPEG is believed patent-free, there are many patents associated with some optional features of JPEG, namely arithmetic coding and hierarchical storage. For this reason, these optional features are never used on the Web.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"966","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T21:19:15.000Z","updated_at":"2022-07-20T09:15:12.273Z","metadata":{"doi":"10.25504/FAIRsharing.2b4419","name":"XML Query Language","status":"ready","contacts":[{"contact_name":"Jonathan Robie","contact_email":"jonathan.robie@biblicalhumanities.org"}],"homepage":"https://www.w3.org/TR/xquery-3/","identifier":966,"description":"XML Query Language (XQuery) is a W3C query language which is designed to be broadly applicable across many types of XML data sources. XQuery is designed to be a language in which queries are concise and easily understood. It is also flexible enough to query a broad spectrum of XML information sources, including both databases and documents. The Query Working Group has identified a requirement for both a non-XML query syntax (XQuery) and an XML-based query syntax (XQueryX).","abbreviation":"XQuery","support_links":[{"url":"liam@w3.org","name":"XQuery Working Group Contact","type":"Support email"},{"url":"https://www.w3.org/XML/Query/","name":"News and Documentation","type":"Help documentation"},{"url":"https://www.w3.org/XML/Query/Overview.rss","name":"XQuery RSS Feed","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001287","bsg-s001287"],"name":"FAIRsharing record for: XML Query Language","abbreviation":"XQuery","url":"https://fairsharing.org/10.25504/FAIRsharing.2b4419","doi":"10.25504/FAIRsharing.2b4419","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Query Language (XQuery) is a W3C query language which is designed to be broadly applicable across many types of XML data sources. XQuery is designed to be a language in which queries are concise and easily understood. It is also flexible enough to query a broad spectrum of XML information sources, including both databases and documents. The Query Working Group has identified a requirement for both a non-XML query syntax (XQuery) and an XML-based query syntax (XQueryX).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":926,"relation":"undefined"}],"grants":[{"id":6520,"fairsharing_record_id":966,"organisation_id":3212,"relation":"maintains","created_at":"2021-09-30T09:28:04.112Z","updated_at":"2021-09-30T09:28:04.112Z","grant_id":null,"is_lead":true,"saved_state":{"id":3212,"name":"W3C XML Query Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"967","type":"fairsharing_records","attributes":{"created_at":"2020-11-17T19:31:18.000Z","updated_at":"2022-07-20T11:00:21.790Z","metadata":{"doi":"10.25504/FAIRsharing.e451d0","name":"Geoscience Markup Language","status":"ready","contacts":[{"contact_name":"Eric Boisvert","contact_email":"eric.boisvert2@canada.ca"}],"homepage":"http://geosciml.org/","identifier":967,"description":"Geoscience Markup Language (GeoSciML) covers the domain of geology (earth materials, geological units and stratigraphy, geological time, geological structures, geomorphology, geochemistry) and sampling features common to Geoscience, such as boreholes and geological specimens. The specification also proposes a simplified version of GeoSciML suitable for portrayal of geological features on digital maps. Within the OGC, this standard has the reference number OGC 16-008.","abbreviation":"GeoSciML","support_links":[{"url":"http://geosciml.org/news-archive.html","name":"News","type":"Blog/News"},{"url":"CGIsecretariat@mail.cgs.gov.cn","name":"CGI General Contact","type":"Support email"},{"url":"http://www.onegeology.org/docs/technical/OneGeologyWFSCookbook_v1.2.pdf","name":"How to Serve a GeoSciML WFS (PDF)","type":"Help documentation"},{"url":"http://www.onegeology.org/docs/technical/GeoSciML_Cookbook_1.2.1.pdf","name":"GeoSciML Cookbook (PDF)","type":"Help documentation"},{"url":"http://geosciml.org/doc/geosciml/4.1/documentation/html/","name":"UML","type":"Help documentation"},{"url":"https://external.ogc.org/twiki_public/GeoSciMLswg/WebHome","name":"GeoSciML Wiki","type":"Help documentation"},{"url":"https://portal.opengeospatial.org/files/?artifact_id=72895","name":"UML Summary (PDF)","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001541","bsg-s001541"],"name":"FAIRsharing record for: Geoscience Markup Language","abbreviation":"GeoSciML","url":"https://fairsharing.org/10.25504/FAIRsharing.e451d0","doi":"10.25504/FAIRsharing.e451d0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Geoscience Markup Language (GeoSciML) covers the domain of geology (earth materials, geological units and stratigraphy, geological time, geological structures, geomorphology, geochemistry) and sampling features common to Geoscience, such as boreholes and geological specimens. The specification also proposes a simplified version of GeoSciML suitable for portrayal of geological features on digital maps. Within the OGC, this standard has the reference number OGC 16-008.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geochemistry","Geology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Geomorphology","Stratigraphy"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2184,"relation":"undefined"}],"grants":[{"id":6521,"fairsharing_record_id":967,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:04.152Z","updated_at":"2021-09-30T09:28:04.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6522,"fairsharing_record_id":967,"organisation_id":564,"relation":"maintains","created_at":"2021-09-30T09:28:04.194Z","updated_at":"2021-09-30T09:28:04.194Z","grant_id":null,"is_lead":true,"saved_state":{"id":564,"name":"Commission for the Management and Application of Geoscience Information (CGI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"968","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-30T10:16:50.683Z","metadata":{"doi":"10.25504/FAIRsharing.d5vqn0","name":"Computational Neuroscience Ontology","status":"deprecated","contacts":[{"contact_name":"Yann Le Franc","contact_email":"ylefranc@gmail.com","contact_orcid":"0000-0003-4631-418X"}],"homepage":"https://github.com/INCF/Computational-Neurosciences-Ontology--C.N.O.-/wiki","citations":[],"identifier":968,"description":"CNO is a controlled vocabulary of terms used in Computational Neurosciences to describe models of the nervous system. This first release of CNO is an alpha version and should be further aligned with other ontologies accessible on Bioportal and should be made compliant with the OBO foundry recommendations. ","abbreviation":"CNO","support_links":[{"url":"https://github.com/INCF/Computational-Neurosciences-Ontology--C.N.O.-","name":"GitHub Repository","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CNO","name":"CNO","portal":"BioPortal"}],"deprecation_date":"2022-11-30","deprecation_reason":"This ontology has not been updated since 2015, and we could not contact the owner of the ontology. While it is still available for download (https://bioportal.bioontology.org/ontologies/CNO), we cannot make any statement about the level of reusability that it has. The information presented in this record was correct when the resource was under active development."},"legacy_ids":["bsg-002780","bsg-s002780"],"name":"FAIRsharing record for: Computational Neuroscience Ontology","abbreviation":"CNO","url":"https://fairsharing.org/10.25504/FAIRsharing.d5vqn0","doi":"10.25504/FAIRsharing.d5vqn0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CNO is a controlled vocabulary of terms used in Computational Neurosciences to describe models of the nervous system. This first release of CNO is an alpha version and should be further aligned with other ontologies accessible on Bioportal and should be made compliant with the OBO foundry recommendations. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Bioinformatics","Computational Neuroscience","Neuroscience"],"domains":["Network model","Modeling and simulation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","France"],"publications":[{"id":2432,"pubmed_id":null,"title":"Computational Neuroscience Ontology: a new tool to provide semantic meaning to your models","year":2012,"url":"http://doi.org/10.1186/1471-2202-13-S1-P149","authors":"Yann Le Franc, Andrew P Davison, Padraig Gleeson, Fahim T Imam, Birgit Kriener, Stephen D Larson, Subhasis Ray, Lars Schwabe, Sean Hill, and Erik De Schutter","journal":"BMC Neuroscience","doi":"10.1186/1471-2202-13-S1-P149","created_at":"2021-09-30T08:26:58.419Z","updated_at":"2021-09-30T08:26:58.419Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":350,"relation":"undefined"}],"grants":[{"id":6523,"fairsharing_record_id":968,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:28:04.232Z","updated_at":"2021-09-30T09:28:04.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"970","type":"fairsharing_records","attributes":{"created_at":"2018-08-13T21:40:18.000Z","updated_at":"2022-02-08T10:47:37.839Z","metadata":{"doi":"10.25504/FAIRsharing.7398d9","name":"Dublin Core Metadata Initiative Abstract Model","status":"ready","contacts":[{"contact_name":"Andy Powell","contact_email":"a.powell@ukoln.ac.uk"}],"homepage":"http://dublincore.org/documents/abstract-model/","identifier":970,"description":"DCAM describes the abstract model for the Dublin Core metadata. The primary purpose of this document is to specify the components and constructs used in Dublin Core metadata. It defines the nature of the components used and describes how those components are combined to create information structures. It provides an information model which is independent of any particular encoding syntax.","abbreviation":"DCAM","support_links":[{"url":"https://twitter.com/dublincore","name":"@dublincore","type":"Twitter"}],"year_creation":2005},"legacy_ids":["bsg-001233","bsg-s001233"],"name":"FAIRsharing record for: Dublin Core Metadata Initiative Abstract Model","abbreviation":"DCAM","url":"https://fairsharing.org/10.25504/FAIRsharing.7398d9","doi":"10.25504/FAIRsharing.7398d9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DCAM describes the abstract model for the Dublin Core metadata. The primary purpose of this document is to specify the components and constructs used in Dublin Core metadata. It defines the nature of the components used and describes how those components are combined to create information structures. It provides an information model which is independent of any particular encoding syntax.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17354}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Resource metadata","Free text","Image"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Sweden","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":536,"relation":"undefined"}],"grants":[{"id":6525,"fairsharing_record_id":970,"organisation_id":827,"relation":"maintains","created_at":"2021-09-30T09:28:04.311Z","updated_at":"2021-09-30T09:28:04.311Z","grant_id":null,"is_lead":true,"saved_state":{"id":827,"name":"Eduserv Foundation, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6526,"fairsharing_record_id":970,"organisation_id":1651,"relation":"maintains","created_at":"2021-09-30T09:28:04.362Z","updated_at":"2021-09-30T09:28:04.362Z","grant_id":null,"is_lead":true,"saved_state":{"id":1651,"name":"KTH Royal Institute of Technology, Stockholm, Sweden","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"971","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T21:00:28.000Z","updated_at":"2022-07-20T12:19:37.583Z","metadata":{"doi":"10.25504/FAIRsharing.86cf8a","name":"XML Path Language","status":"ready","contacts":[{"contact_name":"Jonathan Robie","contact_email":"jonathan.robie@emc.com"}],"homepage":"http://www.w3.org/TR/xpath-30/","identifier":971,"description":"The primary purpose of XPath is to address the nodes of XML trees. XPath gets its name from its use of a path notation for navigating through the hierarchical structure of an XML document. XPath uses a compact, non-XML syntax to facilitate use of XPath within URIs and XML attribute values. XPath operates on the abstract, logical structure of an XML document, rather than its surface syntax. XPath is designed to be embedded in a host language such as XSLT or XQuery.","abbreviation":"XPath","support_links":[{"url":"public-qt-comments@w3.org","name":"General Contact","type":"Support email"},{"url":"https://www.w3.org/Bugs/Public/","name":"W3C Issue Tracker","type":"Forum"}],"year_creation":1999},"legacy_ids":["bsg-001286","bsg-s001286"],"name":"FAIRsharing record for: XML Path Language","abbreviation":"XPath","url":"https://fairsharing.org/10.25504/FAIRsharing.86cf8a","doi":"10.25504/FAIRsharing.86cf8a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary purpose of XPath is to address the nodes of XML trees. XPath gets its name from its use of a path notation for navigating through the hierarchical structure of an XML document. XPath uses a compact, non-XML syntax to facilitate use of XPath within URIs and XML attribute values. XPath operates on the abstract, logical structure of an XML document, rather than its surface syntax. XPath is designed to be embedded in a host language such as XSLT or XQuery.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1046,"relation":"undefined"}],"grants":[{"id":6528,"fairsharing_record_id":971,"organisation_id":3212,"relation":"maintains","created_at":"2021-09-30T09:28:04.445Z","updated_at":"2021-09-30T09:28:04.445Z","grant_id":null,"is_lead":true,"saved_state":{"id":3212,"name":"W3C XML Query Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6527,"fairsharing_record_id":971,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:04.402Z","updated_at":"2021-09-30T09:28:04.402Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"972","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T10:50:56.424Z","metadata":{"doi":"10.25504/FAIRsharing.nesfnr","name":"Neglected Tropical Disease Ontology","status":"ready","contacts":[{"contact_name":"Filipe Santana","contact_email":"fss3@cin.ufpe.br"}],"homepage":"http://www.cin.ufpe.br/~ntdo","identifier":972,"description":"The Neglected Tropical Disease Ontology (NTDO) models Neglected Tropical Diseases (NTD), a specific set of diseases which persist among marginalized populations of the developing world. The NTDO focuses on vector-borne disease control as the transmission path, as this drives prevention strategies and decision support. NTDO includes information about the disease, its causative agents (when available), dispositions, and the geographic location the disease happens.","abbreviation":"NTDO","support_links":[{"url":"https://www.cin.ufpe.br/~ntdo","name":"Contact Form (via Contact Tab)","type":"Contact form"}],"year_creation":2012},"legacy_ids":["bsg-000785","bsg-s000785"],"name":"FAIRsharing record for: Neglected Tropical Disease Ontology","abbreviation":"NTDO","url":"https://fairsharing.org/10.25504/FAIRsharing.nesfnr","doi":"10.25504/FAIRsharing.nesfnr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neglected Tropical Disease Ontology (NTDO) models Neglected Tropical Diseases (NTD), a specific set of diseases which persist among marginalized populations of the developing world. The NTDO focuses on vector-borne disease control as the transmission path, as this drives prevention strategies and decision support. NTDO includes information about the disease, its causative agents (when available), dispositions, and the geographic location the disease happens.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine","Tropical Medicine"],"domains":["Tropical","Disease"],"taxonomies":["All"],"user_defined_tags":["tropical disease"],"countries":["Austria","Brazil","Germany"],"publications":[{"id":2202,"pubmed_id":21685092,"title":"Ontology patterns for tabular representations of biomedical knowledge on neglected tropical diseases.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr226","authors":"Santana F,Schober D,Medeiros Z,Freitas F,Schulz S","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr226","created_at":"2021-09-30T08:26:28.148Z","updated_at":"2021-09-30T08:26:28.148Z"},{"id":2229,"pubmed_id":23046681,"title":"Towards an ontological representation of morbidity and mortality in Description Logics.","year":2012,"url":"http://doi.org/10.1186/2041-1480-3-S2-S7","authors":"Santana F,Freitas F,Fernandes R,Medeiros Z,Schober D","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-3-S2-S7","created_at":"2021-09-30T08:26:31.209Z","updated_at":"2021-09-30T08:26:31.209Z"}],"licence_links":[],"grants":[{"id":6529,"fairsharing_record_id":972,"organisation_id":1343,"relation":"maintains","created_at":"2021-09-30T09:28:04.482Z","updated_at":"2021-09-30T09:28:04.482Z","grant_id":null,"is_lead":true,"saved_state":{"id":1343,"name":"Informatics Center, Federal University of Pernambuco (CIn/UFPE), Recife, Brazil","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"973","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:15:44.000Z","updated_at":"2022-12-13T10:25:14.621Z","metadata":{"doi":"10.25504/FAIRsharing.GPYJ4G","name":"IVOA Support Interfaces","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/VOSI/index.html","citations":[{"publication_id":2954}],"identifier":973,"description":"IVOA Support Interfaces (VOSI) describes the minimum interface that a web service requires to participate in the IVOA. Note that this is not required of standard VO services developed prior to this specification, although uptake is strongly encouraged on any subsequent revision. All new standard VO services, however, must feature a VOSI-compliant interface.","abbreviation":"VOSI","support_links":[{"url":"http://www.ivoa.net/documents/VOSI/20170524/REC-VOSI-1.1.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOSIHome","name":"VOSI Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001194","bsg-s001194"],"name":"FAIRsharing record for: IVOA Support Interfaces","abbreviation":"VOSI","url":"https://fairsharing.org/10.25504/FAIRsharing.GPYJ4G","doi":"10.25504/FAIRsharing.GPYJ4G","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IVOA Support Interfaces (VOSI) describes the minimum interface that a web service requires to participate in the IVOA. Note that this is not required of standard VO services developed prior to this specification, although uptake is strongly encouraged on any subsequent revision. All new standard VO services, however, must feature a VOSI-compliant interface.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11460}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2954,"pubmed_id":null,"title":"IVOA Support Interfaces Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0524G","authors":"Graham, Matthew; Rixon, Guy; Dowler, Patrick; Major, Brian; Grid; Web Services Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.091Z","updated_at":"2021-09-30T08:28:04.091Z"}],"licence_links":[],"grants":[{"id":6531,"fairsharing_record_id":973,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:04.538Z","updated_at":"2021-09-30T09:28:04.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6530,"fairsharing_record_id":973,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:04.515Z","updated_at":"2021-09-30T09:28:04.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"982","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-24T08:34:01.286Z","metadata":{"doi":"10.25504/FAIRsharing.v9n3gk","name":"Resource Description Framework Schema","status":"ready","contacts":[{"contact_name":"Dan Brickley","contact_email":"danbri@w3.org"},{"contact_name":"General Contact List","contact_email":"public-rdf-comments@w3.org","contact_orcid":null}],"homepage":"https://www.w3.org/TR/rdf-schema/","citations":[],"identifier":982,"description":"RDF Schema (RDFS) is the RDF vocabulary description language. RDFS defines classes and properties that may be used to describe classes, properties and other resources.","abbreviation":"RDFS","support_links":[{"url":"public-rdf-comments@w3.org","type":"Mailing list"},{"url":"https://www.w3.org/2001/sw/wiki/RDF1.1_Errata","name":"Errata","type":"Help documentation"},{"url":"https://lists.w3.org/Archives/Public/public-rdf-comments/","name":"Archives","type":"Help documentation"}],"year_creation":1997},"legacy_ids":["bsg-000283","bsg-s000283"],"name":"FAIRsharing record for: Resource Description Framework Schema","abbreviation":"RDFS","url":"https://fairsharing.org/10.25504/FAIRsharing.v9n3gk","doi":"10.25504/FAIRsharing.v9n3gk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDF Schema (RDFS) is the RDF vocabulary description language. RDFS defines classes and properties that may be used to describe classes, properties and other resources.","linked_records":[],"linking_records":[{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13284}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":3613,"relation":"applies_to_content"}],"grants":[{"id":11749,"fairsharing_record_id":982,"organisation_id":3206,"relation":"maintains","created_at":"2024-04-24T08:31:31.787Z","updated_at":"2024-04-24T08:31:31.787Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa29FIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--281958c8c1e9b3cb29b389db6001e72d59b753aa/Screenshot%20from%202024-04-24%2009-19-48.png?disposition=inline","exhaustive_licences":true}},{"id":"983","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:19.066Z","metadata":{"doi":"10.25504/FAIRsharing.jy3bvk","name":"Pediatric Terminology","status":"ready","contacts":[{"contact_name":"Ranjana Srivastava","contact_email":"srivastava_ranjana@bah.com"}],"homepage":"https://www.cancer.gov/research/resources/terminology/pediatric","identifier":983,"description":"Terms associated with pediatrics, representing information related to child health and development from pre-birth through 21 years of age; contributed by the National Institute of Child Health and Human Development.","abbreviation":"PedTerm","support_links":[{"url":"https://fr.slideshare.net/saharneama/pediatric-terminology","name":"Slideshare","type":"Help documentation"},{"url":"http://www.interpreterprep.com/PEDIATRIC_TERMINOLOGY.pdf","name":"Online pdf","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-002733","bsg-s002733"],"name":"FAIRsharing record for: Pediatric Terminology","abbreviation":"PedTerm","url":"https://fairsharing.org/10.25504/FAIRsharing.jy3bvk","doi":"10.25504/FAIRsharing.jy3bvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terms associated with pediatrics, representing information related to child health and development from pre-birth through 21 years of age; contributed by the National Institute of Child Health and Human Development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Pediatrics","Biomedical Science"],"domains":["Disease","Infant"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1788,"pubmed_id":24534404,"title":"Building a common pediatric research terminology for accelerating child health research.","year":2014,"url":"http://doi.org/10.1542/peds.2013-1504","authors":"Kahn MG,Bailey LC,Forrest CB,Padula MA,Hirschfeld S","journal":"Pediatrics","doi":"10.1542/peds.2013-1504","created_at":"2021-09-30T08:25:40.646Z","updated_at":"2021-09-30T08:25:40.646Z"}],"licence_links":[],"grants":[{"id":6549,"fairsharing_record_id":983,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:05.181Z","updated_at":"2021-09-30T09:28:05.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6547,"fairsharing_record_id":983,"organisation_id":36,"relation":"funds","created_at":"2021-09-30T09:28:05.125Z","updated_at":"2021-09-30T09:32:19.314Z","grant_id":1565,"is_lead":false,"saved_state":{"id":36,"name":"Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services, USA","grant":"R01HS020024-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6548,"fairsharing_record_id":983,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:05.158Z","updated_at":"2021-09-30T09:29:18.862Z","grant_id":191,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"UL1 TR000154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7971,"fairsharing_record_id":983,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:10.002Z","updated_at":"2021-09-30T09:30:10.041Z","grant_id":581,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN267200700020C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8044,"fairsharing_record_id":983,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:37.454Z","updated_at":"2021-09-30T09:30:37.509Z","grant_id":795,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN275200800018C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"984","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-07T16:03:50.955Z","metadata":{"doi":"10.25504/FAIRsharing.75r2zd","name":"Ontology of Clinical Research","status":"ready","contacts":[{"contact_name":"Ida Sim","contact_email":"ida.sim@ucsf.edu","contact_orcid":"0000-0002-1045-8459"}],"homepage":"https://sites.google.com/site/humanstudyome/home/ocre","citations":[],"identifier":984,"description":"OCRe is an OWL ontology designed to support the systematic description of, and interoperable queries on, human studies and study elements. Please note that, while this ontology is available for use, it is currently not being actively developed.","abbreviation":"OCRe","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCRE","name":"OCRE","portal":"BioPortal"}]},"legacy_ids":["bsg-000071","bsg-s000071"],"name":"FAIRsharing record for: Ontology of Clinical Research","abbreviation":"OCRe","url":"https://fairsharing.org/10.25504/FAIRsharing.75r2zd","doi":"10.25504/FAIRsharing.75r2zd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OCRe is an OWL ontology designed to support the systematic description of, and interoperable queries on, human studies and study elements. Please note that, while this ontology is available for use, it is currently not being actively developed.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17356},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12392}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Interoperability"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":9099,"fairsharing_record_id":984,"organisation_id":3035,"relation":"maintains","created_at":"2022-04-07T14:20:03.769Z","updated_at":"2022-04-07T14:20:03.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":3035,"name":"University of California, San Francisco, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"985","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-03-14T16:34:04.147Z","metadata":{"doi":"10.25504/FAIRsharing.zc2tfa","name":"Fanconi Anemia Ontology","status":"ready","contacts":[{"contact_name":"Erica Sanborn","contact_email":"esanborn@rockefeller.edu"}],"homepage":"http://lab.rockefeller.edu/smogorzewska/ifar/","citations":[],"identifier":985,"description":"An application ontology devoted to the standardized recording of data related to Fanconi Anemia (FA). This ontology was created using an OWL file provided by Dr. Ada Hamish (and Francois Schiettecatte) at the Centers for Mendelian Genetics, with their permission. Their original ontology can be found at: http://phenodb.net/help/features. Modifications were made using HPO, OMIM, NCI, and SNOMED. Novel classes pertaining to FA were added and defined as appropriate.","abbreviation":"IFAR","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IFAR","name":"IFAR","portal":"BioPortal"}]},"legacy_ids":["bsg-001070","bsg-s001070"],"name":"FAIRsharing record for: Fanconi Anemia Ontology","abbreviation":"IFAR","url":"https://fairsharing.org/10.25504/FAIRsharing.zc2tfa","doi":"10.25504/FAIRsharing.zc2tfa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology devoted to the standardized recording of data related to Fanconi Anemia (FA). This ontology was created using an OWL file provided by Dr. Ada Hamish (and Francois Schiettecatte) at the Centers for Mendelian Genetics, with their permission. Their original ontology can be found at: http://phenodb.net/help/features. Modifications were made using HPO, OMIM, NCI, and SNOMED. Novel classes pertaining to FA were added and defined as appropriate.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10407,"fairsharing_record_id":985,"organisation_id":3915,"relation":"undefined","created_at":"2023-03-14T16:33:24.463Z","updated_at":"2023-03-14T16:33:24.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":3915,"name":"Rockefeller University","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"986","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T12:30:38.000Z","updated_at":"2023-09-29T11:55:00.708Z","metadata":{"doi":"10.25504/FAIRsharing.fdc683","name":"Computer applications in terminology -- Terminological markup framework","status":"ready","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/56063.html","citations":[],"identifier":986,"description":"ISO 16642:2017 specifies a framework for representing data recorded in terminological data collections (TDCs). This framework includes a metamodel and methods for describing specific terminological markup languages (TMLs) expressed in XML. The mechanisms for implementing constraints in a TML are defined, but not the specific constraints for individual TMLs. ISO 16642:2017 is designed to support the development and use of computer applications for terminological data and the exchange of such data between different applications. This document also defines the conditions that allow the data expressed in one TML to be mapped onto another TML.","abbreviation":"ISO 16642:2017","support_links":[],"year_creation":2009},"legacy_ids":["bsg-001278","bsg-s001278"],"name":"FAIRsharing record for: Computer applications in terminology -- Terminological markup framework","abbreviation":"ISO 16642:2017","url":"https://fairsharing.org/10.25504/FAIRsharing.fdc683","doi":"10.25504/FAIRsharing.fdc683","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 16642:2017 specifies a framework for representing data recorded in terminological data collections (TDCs). This framework includes a metamodel and methods for describing specific terminological markup languages (TMLs) expressed in XML. The mechanisms for implementing constraints in a TML are defined, but not the specific constraints for individual TMLs. ISO 16642:2017 is designed to support the development and use of computer applications for terminological data and the exchange of such data between different applications. This document also defines the conditions that allow the data expressed in one TML to be mapped onto another TML.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":275,"relation":"undefined"}],"grants":[{"id":6553,"fairsharing_record_id":986,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:05.322Z","updated_at":"2021-09-30T09:28:05.322Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10935,"fairsharing_record_id":986,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:23:39.233Z","updated_at":"2023-09-27T14:23:39.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"993","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:53:29.000Z","updated_at":"2023-09-29T11:54:58.120Z","metadata":{"doi":"10.25504/FAIRsharing.e33260","name":"Language resource management -- Persistent identification and sustainable access (PISA)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37333.html","citations":[],"identifier":993,"description":"ISO 24619:2011 specifies requirements for the persistent identifier (PID) framework and for using PIDs for referencing and citing documents, files and language resources (e.g digital dictionaries, text corpora, linguistic annotated corpora). A PID is an electronic identification referring to or citing electronic documents, files, resources, resource collections such as books, articles, papers, images etc. ISO 24619:2011 also addresses issues of persistence and granularity of references to resources, first by requiring that persistent references be implemented by using a PID framework and further by imposing requirements on any PID frameworks used for this purpose.","abbreviation":"ISO 24619:2011","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37333.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2011},"legacy_ids":["bsg-001260","bsg-s001260"],"name":"FAIRsharing record for: Language resource management -- Persistent identification and sustainable access (PISA)","abbreviation":"ISO 24619:2011","url":"https://fairsharing.org/10.25504/FAIRsharing.e33260","doi":"10.25504/FAIRsharing.e33260","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24619:2011 specifies requirements for the persistent identifier (PID) framework and for using PIDs for referencing and citing documents, files and language resources (e.g digital dictionaries, text corpora, linguistic annotated corpora). A PID is an electronic identification referring to or citing electronic documents, files, resources, resource collections such as books, articles, papers, images etc. ISO 24619:2011 also addresses issues of persistence and granularity of references to resources, first by requiring that persistent references be implemented by using a PID framework and further by imposing requirements on any PID frameworks used for this purpose.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Resource metadata","Bibliography","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":285,"relation":"undefined"}],"grants":[{"id":6565,"fairsharing_record_id":993,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:05.760Z","updated_at":"2021-09-30T09:28:05.760Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10920,"fairsharing_record_id":993,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:11:19.943Z","updated_at":"2023-09-27T14:11:19.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"994","type":"fairsharing_records","attributes":{"created_at":"2018-08-16T22:39:31.000Z","updated_at":"2023-05-05T08:37:42.273Z","metadata":{"doi":"10.25504/FAIRsharing.9ee4cc","name":"Distributed Ontology, Model, and Specification Language","status":"ready","contacts":[{"contact_name":"General OMG Contact","contact_email":"info@omg.org"}],"homepage":"http://dol-omg.org/","citations":[],"identifier":994,"description":"The Distributed Ontology, Model and Specification Language (DOL) is an OMG standard. DOL aims at providing a unified metalanguage for: “as-is” use of ontologies, specifications, and models (OSMs), formulated in a specific language; OSMs formalised in heterogeneous logics; modular OSMs; mappings (interpretations, alignments, refinements, and others) between OSMs; and networks of OMS and mappings.","abbreviation":"DOL","support_links":[{"url":"https://issues.omg.org/issues/create-new-issue?specification=DOL%231.0","name":"Submit an Issue","type":"Forum"},{"url":"http://iws.cs.uni-magdeburg.de/~mossakow/papers/DOL-Manifesto.pdf","name":"DOL Manifesto","type":"Help documentation"},{"url":"http://iws.cs.uni-magdeburg.de/~mossakow/papers/Ontology-Patterns-with-DOWL-The-Case-of-Blending.pdf","name":"Ontology Patterns with DOWL: The Case of Blending","type":"Help documentation"},{"url":"http://www.iks.cs.ovgu.de/~till/papers/womo2013.pdf","name":"Overview of DOL syntax","type":"Help documentation"},{"url":"https://www.omg.org/spec/DOL/","name":"About the Specification","type":"Help documentation"},{"url":"https://github.com/tillmo/DOL","name":"GitHub Repository","type":"Github"},{"url":"http://esslli2016.unibz.it/?page_id=171","name":"DOL Tutorial 2016","type":"Training documentation"},{"url":"http://iws.cs.uni-magdeburg.de/~mossakow/papers/2015-09-21-DOL-tutorial.pdf","name":"DOL Tuturial 2015","type":"Training documentation"},{"url":"https://www.omg.org/spec/DOL","name":"DOL on OMG","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"http://wiki.dol-omg.org/index.php/Hets","name":"The Heterogneous Tool Set (Hets)"},{"url":"http://wiki.dol-omg.org/index.php/Emacs_mode","name":"emacs mode for DOL"}]},"legacy_ids":["bsg-001238","bsg-s001238"],"name":"FAIRsharing record for: Distributed Ontology, Model, and Specification Language","abbreviation":"DOL","url":"https://fairsharing.org/10.25504/FAIRsharing.9ee4cc","doi":"10.25504/FAIRsharing.9ee4cc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Distributed Ontology, Model and Specification Language (DOL) is an OMG standard. DOL aims at providing a unified metalanguage for: “as-is” use of ontologies, specifications, and models (OSMs), formulated in a specific language; OSMs formalised in heterogeneous logics; modular OSMs; mappings (interpretations, alignments, refinements, and others) between OSMs; and networks of OMS and mappings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OMG Terms and Conditions","licence_id":1054,"licence_url":"https://www.omg.org/legal/index.htm","link_id":3192,"relation":"applies_to_content"}],"grants":[{"id":6566,"fairsharing_record_id":994,"organisation_id":2209,"relation":"maintains","created_at":"2021-09-30T09:28:05.795Z","updated_at":"2021-09-30T09:28:05.795Z","grant_id":null,"is_lead":true,"saved_state":{"id":2209,"name":"Object Management Group (OMG), Massachusetts, United States","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"995","type":"fairsharing_records","attributes":{"created_at":"2018-10-12T20:00:59.000Z","updated_at":"2022-07-20T10:42:43.531Z","metadata":{"doi":"10.25504/FAIRsharing.32e620","name":"AGRIS Application Profile","status":"ready","contacts":[{"contact_name":"AGRIS General Contact","contact_email":"agris@fao.org"}],"homepage":"http://www.fao.org/docrep/008/ae909e/ae909e00.htm","identifier":995,"description":"The AGRIS Application Profile (AGRIS AP) is a metadata standard created specifically to enhance the description, exchange and subsequent retrieval of agricultural Document-Like Information Objects (DLIOs). It is a metadata schema which draws elements from well known Metadata standards such as Dublin Core (DC), Australian Government Locator Service Metadata (AGLS) and Agricultural Metadata Element Set (AgMES) namespaces. It allows sharing of information across dispersed bibliographic systems and provides guidelines on recommended best practices for cataloguing and subject indexing. The AGRIS AP is a major step towards exchanging high-quality and medium-complex metadata in an application independent format. The goal of the AGRIS Application Profile (AGRIS AP) is to facilitate interoperability of metadata formats currently in use to enable linking of various types of agricultural information, therefore allowing users to perform cross-searches and other value added services.","abbreviation":"AGRIS AP","year_creation":1998},"legacy_ids":["bsg-001324","bsg-s001324"],"name":"FAIRsharing record for: AGRIS Application Profile","abbreviation":"AGRIS AP","url":"https://fairsharing.org/10.25504/FAIRsharing.32e620","doi":"10.25504/FAIRsharing.32e620","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AGRIS Application Profile (AGRIS AP) is a metadata standard created specifically to enhance the description, exchange and subsequent retrieval of agricultural Document-Like Information Objects (DLIOs). It is a metadata schema which draws elements from well known Metadata standards such as Dublin Core (DC), Australian Government Locator Service Metadata (AGLS) and Agricultural Metadata Element Set (AgMES) namespaces. It allows sharing of information across dispersed bibliographic systems and provides guidelines on recommended best practices for cataloguing and subject indexing. The AGRIS AP is a major step towards exchanging high-quality and medium-complex metadata in an application independent format. The goal of the AGRIS Application Profile (AGRIS AP) is to facilitate interoperability of metadata formats currently in use to enable linking of various types of agricultural information, therefore allowing users to perform cross-searches and other value added services.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Fisheries Science","Environmental Science","Data Management","Agriculture"],"domains":["Cropping systems","Food","Curated information"],"taxonomies":["All"],"user_defined_tags":["Livestock"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6567,"fairsharing_record_id":995,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:05.838Z","updated_at":"2021-09-30T09:28:05.838Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"980","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T19:17:23.000Z","updated_at":"2022-02-08T10:49:43.126Z","metadata":{"doi":"10.25504/FAIRsharing.87b86e","name":"Guidelines for Electronic Text Encoding and Interchange","status":"ready","homepage":"https://www.tei-c.org/release/doc/tei-p5-doc/en/html/index.html","identifier":980,"description":"The Text Encoding and Interchange (TEI) Guidelines are an international and interdisciplinary standard used by libraries, museums, publishers, and academics to represent all kinds of literary and linguistic texts, using an encoding scheme that is maximally expressive and minimally obsolescent. They make recommendations about suitable ways of representing those features of textual resources which need to be identified explicitly in order to facilitate processing by computer programs. In particular, they specify a set of markers (or tags) which may be inserted in the electronic representation of the text, in order to mark the text structure and other features of interest.","abbreviation":"P5 TEI Guidelines","support_links":[{"url":"https://github.com/TEIC/TEI","name":"GitHub Repository","type":"Github"},{"url":"https://tei-c.org/guidelines/P5/","name":"General Information for P5 TEI Guidelines","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001275","bsg-s001275"],"name":"FAIRsharing record for: Guidelines for Electronic Text Encoding and Interchange","abbreviation":"P5 TEI Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.87b86e","doi":"10.25504/FAIRsharing.87b86e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Text Encoding and Interchange (TEI) Guidelines are an international and interdisciplinary standard used by libraries, museums, publishers, and academics to represent all kinds of literary and linguistic texts, using an encoding scheme that is maximally expressive and minimally obsolescent. They make recommendations about suitable ways of representing those features of textual resources which need to be identified explicitly in order to facilitate processing by computer programs. In particular, they specify a set of markers (or tags) which may be inserted in the electronic representation of the text, in order to mark the text structure and other features of interest.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13363},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13898}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Humanities","Social Science","Subject Agnostic","Linguistics"],"domains":["Resource metadata","Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6539,"fairsharing_record_id":980,"organisation_id":2736,"relation":"maintains","created_at":"2021-09-30T09:28:04.831Z","updated_at":"2021-09-30T09:28:04.831Z","grant_id":null,"is_lead":true,"saved_state":{"id":2736,"name":"Text Encoding Initiative (TEI), Charlottesville, VA, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"981","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T09:42:12.000Z","updated_at":"2024-03-05T11:58:06.388Z","metadata":{"doi":"10.25504/FAIRsharing.af21db","name":"Compact URI","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"www-html-editor@w3.org"}],"homepage":"https://www.w3.org/TR/2010/NOTE-curie-20101216/","citations":[],"identifier":981,"description":"A CURIE (or Compact URI) defines a generic, abbreviated syntax for expressing Uniform Resource Identifiers (URIs). It is an abbreviated URI expressed in a compact syntax, and may be found in both XML and non-XML grammars.","abbreviation":"CURIE","support_links":[{"url":"www-html@w3.org","name":"Public discussion","type":"Support email"},{"url":"https://lists.w3.org/Archives/Public/www-html-editor/","name":"Mail Archives","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/CURIE","name":"Wikipedia","type":"Wikipedia"},{"url":"https://www.w3.org/TR/curie/","name":"CURIE Syntax","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://www.wikidata.org/wiki/Q1024551","name":"Wikidata","portal":"Other"}]},"legacy_ids":["bsg-001185","bsg-s001185"],"name":"FAIRsharing record for: Compact URI","abbreviation":"CURIE","url":"https://fairsharing.org/10.25504/FAIRsharing.af21db","doi":"10.25504/FAIRsharing.af21db","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A CURIE (or Compact URI) defines a generic, abbreviated syntax for expressing Uniform Resource Identifiers (URIs). It is an abbreviated URI expressed in a compact syntax, and may be found in both XML and non-XML grammars.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Data retrieval","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":512,"relation":"undefined"}],"grants":[{"id":6540,"fairsharing_record_id":981,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:04.859Z","updated_at":"2021-09-30T09:28:04.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6541,"fairsharing_record_id":981,"organisation_id":3210,"relation":"maintains","created_at":"2021-09-30T09:28:04.891Z","updated_at":"2021-09-30T09:28:04.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":3210,"name":"W3C XHTML2 Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"960","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:43.108Z","metadata":{"doi":"10.25504/FAIRsharing.mjnypw","name":"Units Ontology","status":"ready","contacts":[{"contact_name":"George Gkoutos","contact_email":"geg18@aber.ac.uk","contact_orcid":"0000-0002-2061-091X"}],"homepage":"https://github.com/bio-ontology-research-group/unit-ontology","identifier":960,"description":"The Units Ontology (UO) models metrical units for use in conjunction with PATO. Units are basic scientific tools that render meaning to numerical data. Their standardization and formalization caters for the report, exchange, process, reproducibility and integration of quantitative measurements. The Units Ontology is an ontology currently being used for the standardized description of units of measurements.","abbreviation":"UO","support_links":[{"url":"https://github.com/bio-ontology-research-group/unit-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://code.google.com/p/unit-ontology/","name":"Google Code documentation (obsolete)","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"http://isa-tools.org","name":"ISA Tools"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UO","name":"UO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/uo.html","name":"uo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002611","bsg-s002611"],"name":"FAIRsharing record for: Units Ontology","abbreviation":"UO","url":"https://fairsharing.org/10.25504/FAIRsharing.mjnypw","doi":"10.25504/FAIRsharing.mjnypw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Units Ontology (UO) models metrical units for use in conjunction with PATO. Units are basic scientific tools that render meaning to numerical data. Their standardization and formalization caters for the report, exchange, process, reproducibility and integration of quantitative measurements. The Units Ontology is an ontology currently being used for the standardized description of units of measurements.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18255},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10876},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11817},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12010},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17988}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Mathematics","Life Science"],"domains":["Unit","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Saudi Arabia","United Kingdom","United States"],"publications":[{"id":1666,"pubmed_id":23060432,"title":"The Units Ontology: a tool for integrating units of measurement in science.","year":2012,"url":"http://doi.org/10.1093/database/bas033","authors":"Gkoutos GV,Schofield PN,Hoehndorf R","journal":"Database (Oxford)","doi":"10.1093/database/bas033","created_at":"2021-09-30T08:25:26.580Z","updated_at":"2021-09-30T08:25:26.580Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":62,"relation":"undefined"}],"grants":[{"id":6510,"fairsharing_record_id":960,"organisation_id":271,"relation":"maintains","created_at":"2021-09-30T09:28:03.698Z","updated_at":"2021-09-30T09:28:03.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":271,"name":"Bio-Ontology Research Group, KAUST, Saudi Arabia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6516,"fairsharing_record_id":960,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:03.961Z","updated_at":"2021-09-30T09:31:39.593Z","grant_id":1271,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 HG004838-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6509,"fairsharing_record_id":960,"organisation_id":1959,"relation":"maintains","created_at":"2021-09-30T09:28:03.662Z","updated_at":"2021-09-30T09:28:03.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6511,"fairsharing_record_id":960,"organisation_id":699,"relation":"maintains","created_at":"2021-09-30T09:28:03.731Z","updated_at":"2021-09-30T09:28:03.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":699,"name":"Department of Computer Science, University of Aberystwyth","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6513,"fairsharing_record_id":960,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:03.828Z","updated_at":"2021-09-30T09:28:03.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6512,"fairsharing_record_id":960,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:03.755Z","updated_at":"2021-09-30T09:31:20.790Z","grant_id":1128,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"248502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6515,"fairsharing_record_id":960,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:03.911Z","updated_at":"2021-09-30T09:28:03.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11547,"fairsharing_record_id":960,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:41.613Z","updated_at":"2024-03-21T13:58:42.985Z","grant_id":37,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54-HG004028","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"961","type":"fairsharing_records","attributes":{"created_at":"2018-09-10T21:16:23.000Z","updated_at":"2022-02-08T10:50:14.905Z","metadata":{"doi":"10.25504/FAIRsharing.b9b728","name":"Extensible Stylesheet Language Transformations","status":"ready","contacts":[],"homepage":"https://www.w3.org/TR/xslt-30/","citations":[],"identifier":961,"description":"EXtensible Stylesheet Language Transformations is an XML-based programming language developed by the World Wide Web Consortium (W3C). This specification defines the syntax and semantics of XSLT 3.0, a language designed primarily for transforming XML documents into other XML documents.","abbreviation":"XSLT","support_links":[{"url":"https://github.com/w3c/qtspecs/issues","name":"Feedback, comments, error reports","type":"Contact form"}],"year_creation":1999},"legacy_ids":["bsg-001290","bsg-s001290"],"name":"FAIRsharing record for: Extensible Stylesheet Language Transformations","abbreviation":"XSLT","url":"https://fairsharing.org/10.25504/FAIRsharing.b9b728","doi":"10.25504/FAIRsharing.b9b728","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EXtensible Stylesheet Language Transformations is an XML-based programming language developed by the World Wide Web Consortium (W3C). This specification defines the syntax and semantics of XSLT 3.0, a language designed primarily for transforming XML documents into other XML documents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6517,"fairsharing_record_id":961,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:03.994Z","updated_at":"2021-09-30T09:28:03.994Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"987","type":"fairsharing_records","attributes":{"created_at":"2016-03-21T12:59:45.000Z","updated_at":"2022-07-20T09:39:52.412Z","metadata":{"doi":"10.25504/FAIRsharing.e20vsd","name":"DatA Tag Suite","status":"ready","contacts":[{"contact_name":"Susanna Sansone","contact_email":"sa.sansone@gmail.com","contact_orcid":"0000-0001-5306-5690"}],"homepage":"https://github.com/biocaddie/WG3-MetadataSpecifications","citations":[],"identifier":987,"description":"DatA Tag Suite (DATS) is the model developed by the NIH BD2K bioCADDIE project (http://biocaddie.org) for the DataMed Data Discovery Index prototype being developed. DataMed is for data what PubMed has been for scientific literature and DATS is defined as similar to the JATS format.","abbreviation":"DATS","support_links":[{"url":"http://www.biocaddie.org/workgroup-3-group-links","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000643","bsg-s000643"],"name":"FAIRsharing record for: DatA Tag Suite","abbreviation":"DATS","url":"https://fairsharing.org/10.25504/FAIRsharing.e20vsd","doi":"10.25504/FAIRsharing.e20vsd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DatA Tag Suite (DATS) is the model developed by the NIH BD2K bioCADDIE project (http://biocaddie.org) for the DataMed Data Discovery Index prototype being developed. DataMed is for data what PubMed has been for scientific literature and DATS is defined as similar to the JATS format.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11207},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13327}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom","United States"],"publications":[{"id":1003,"pubmed_id":null,"title":"WG3-MetadataSpecifications: NIH BD2K bioCADDIE Data Discovery Index WG3 Metadata Specification v1","year":2015,"url":"http://doi.org/10.5281/zenodo.28019","authors":"WG3 Members","journal":"Zenodo","doi":"10.5281/zenodo.28019","created_at":"2021-09-30T08:24:11.004Z","updated_at":"2021-09-30T08:24:11.004Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":565,"relation":"undefined"}],"grants":[{"id":6554,"fairsharing_record_id":987,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:05.353Z","updated_at":"2021-09-30T09:29:40.002Z","grant_id":350,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U24AI117966-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1024","type":"fairsharing_records","attributes":{"created_at":"2015-06-10T10:38:01.000Z","updated_at":"2022-07-20T11:19:52.440Z","metadata":{"doi":"10.25504/FAIRsharing.hzdzq8","name":"Schema.org","status":"ready","contacts":[{"contact_name":"Community Group","contact_email":"public-schemaorg@w3.org"}],"homepage":"http://schema.org/","identifier":1024,"description":"Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet. In addition to people from the sponsoring companies, there is substantial participation by the larger web community, through public mailing lists such as public-vocabs@w3.org and through GitHub. Search engines including Bing, Google, Yahoo! and Yandex rely on schema.org markup to improve the display of search results, making it easier for people to find the right web pages. Since April 2015, the W3C Schema.org Community Group is the main forum for schema collaboration, and provides the public-schemaorg@w3.org mailing list for discussions.","abbreviation":"Schema.org","support_links":[{"url":"http://blog.schema.org","type":"Blog/News"},{"url":"https://lists.w3.org/Archives/Public/public-vocabs/","type":"Mailing list"},{"url":"https://lists.w3.org/Archives/Public/public-schemaorg/","type":"Mailing list"},{"url":"http://github.com/schemaorg/schemaorg","type":"Github"},{"url":"http://schema.org/docs/documents.html","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000593","bsg-s000593"],"name":"FAIRsharing record for: Schema.org","abbreviation":"Schema.org","url":"https://fairsharing.org/10.25504/FAIRsharing.hzdzq8","doi":"10.25504/FAIRsharing.hzdzq8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet. In addition to people from the sponsoring companies, there is substantial participation by the larger web community, through public mailing lists such as public-vocabs@w3.org and through GitHub. Search engines including Bing, Google, Yahoo! and Yandex rely on schema.org markup to improve the display of search results, making it easier for people to find the right web pages. Since April 2015, the W3C Schema.org Community Group is the main forum for schema collaboration, and provides the public-schemaorg@w3.org mailing list for discussions.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18276},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11202},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12941},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13332},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13335},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13357},{"linking_record_name":"Mapping CDC to OpenAIRE, B2find, schema.org and Dublin Core","linking_record_id":3646,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13370}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 United States (CC BY-SA 3.0 US)","licence_id":193,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/us/","link_id":233,"relation":"undefined"},{"licence_name":"schema.org Terms of Service","licence_id":730,"licence_url":"http://schema.org/docs/terms.html","link_id":232,"relation":"undefined"}],"grants":[{"id":6629,"fairsharing_record_id":1024,"organisation_id":2503,"relation":"maintains","created_at":"2021-09-30T09:28:08.146Z","updated_at":"2021-09-30T09:28:08.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":2503,"name":"Schema.org","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1025","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-01-06T09:09:26.147Z","metadata":{"doi":"10.25504/FAIRsharing.nft558","name":"Plant Diversity Ontology","status":"deprecated","contacts":[{"contact_name":"Ma Yumeng, Huang Jinxia, Liu Fenghong,Xu Zheping, Guo Jinjing, Cui Jinzhong, Sun Tan","contact_email":"openresources@mail.las.ac.cn"}],"homepage":"http://gooa.las.ac.cn/external/index.jsp","citations":[],"identifier":1025,"description":"Plant Diversity Ontology (PDO) is the outcome of the construction tasks of domain ontology of science in the project of Scientific \u0026 Technological Knowledge Organization Systems (STKOS). The structure of PDO centers on species, including micro level of molecular, cell and tissue, medium level of plant organs, species and population, and macro level of ecosystem. The classes of PDO also capture the habitat, environmental conditions and expand the general characteristics of plants, completing the instances richness for plant species, geographical, classification and morphology. Furthermore, PDO builds the relationships among species, region, morphology, plant organs, developmental stage, revealing the list of species in an area, the morphology and life form of plants, and development process of species. In sum, PDO shows a growth process or development stage of a species and its structure characteristics in particular space and time scale, realizing the description of species diversity, ecosystem diversity and genetic diversity. At present, PDO has been applied to the platform of Go to Selected Open Access Journals (GoOA) developed by National Science Library of Chinese Academy of Sciences, supporting concept retrieval and concept extension for GoOA.","abbreviation":"PDO_CAS","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDO_CAS","name":"PDO_CAS","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"The homepage for this resource does not point to the ontology itself, and no suitable homepage can be found. Please let us know if you have any new information regarding this resource."},"legacy_ids":["bsg-001072","bsg-s001072"],"name":"FAIRsharing record for: Plant Diversity Ontology","abbreviation":"PDO_CAS","url":"https://fairsharing.org/10.25504/FAIRsharing.nft558","doi":"10.25504/FAIRsharing.nft558","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Plant Diversity Ontology (PDO) is the outcome of the construction tasks of domain ontology of science in the project of Scientific \u0026 Technological Knowledge Organization Systems (STKOS). The structure of PDO centers on species, including micro level of molecular, cell and tissue, medium level of plant organs, species and population, and macro level of ecosystem. The classes of PDO also capture the habitat, environmental conditions and expand the general characteristics of plants, completing the instances richness for plant species, geographical, classification and morphology. Furthermore, PDO builds the relationships among species, region, morphology, plant organs, developmental stage, revealing the list of species in an area, the morphology and life form of plants, and development process of species. In sum, PDO shows a growth process or development stage of a species and its structure characteristics in particular space and time scale, realizing the description of species diversity, ecosystem diversity and genetic diversity. At present, PDO has been applied to the platform of Go to Selected Open Access Journals (GoOA) developed by National Science Library of Chinese Academy of Sciences, supporting concept retrieval and concept extension for GoOA.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1026","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:24:27.000Z","updated_at":"2022-07-18T15:44:35.410Z","metadata":{"doi":"10.25504/FAIRsharing.f09f1f","name":"Ontology Integration and Interoperability","status":"deprecated","contacts":[{"contact_name":"Eliza Margaretha","contact_email":"margaretha@ids-mannheim.de"}],"homepage":"https://clarin.ids-mannheim.de/standards/views/view-spec.xq;jsessionid=jztgj4dhx1r61eozukuitwsqt?id=SpecOntoIOp","citations":[],"identifier":1026,"description":"The standard provides the guidelines for ontological modularity and structuring mechanisms within an ontology.","abbreviation":"OntolOp ISO/NP 17347","support_links":[{"url":"banski@ids-mannheim.de","name":"Piotr Banski","type":"Support email"}],"year_creation":2011,"deprecation_date":"2022-07-18","deprecation_reason":"Although associated with the ISO TC 37 with the identifier ISO/NP 17347, this resource has since been abandoned by this ISO technical committee (see https://genorma.com/en/project/show/iso:proj:59599 for further details)."},"legacy_ids":["bsg-001258","bsg-s001258"],"name":"FAIRsharing record for: Ontology Integration and Interoperability","abbreviation":"OntolOp ISO/NP 17347","url":"https://fairsharing.org/10.25504/FAIRsharing.f09f1f","doi":"10.25504/FAIRsharing.f09f1f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The standard provides the guidelines for ontological modularity and structuring mechanisms within an ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1027","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-08T09:24:21.287Z","metadata":{"doi":"10.25504/FAIRsharing.ret599","name":"Syndromic Surveillance Ontology","status":"deprecated","contacts":[{"contact_name":"Anya Okhmatovskaia","contact_email":"anna.okhmatovskaia@mcgill.ca"}],"homepage":"http://surveillance.mcgill.ca/projects/sso/","citations":[],"identifier":1027,"description":"Most syndromic surveillance systems use data from ED visits, often free-text chief complaints. Classification of chief complaints into syndromes is often inconsistent, due to the lack of agreement about the concepts that define a syndrome and how individual terms or strings map to these concepts. The Syndromic Surveillance Ontology addresses this problem by formally encoding a set of consensus definitions for syndromes in terms of ED chief complaints in a standard shareable format. The goal of the project is to ensure that consensus syndrome definitions are disseminated broadly, maintained collaboratively, and incorporated easily into automated systems.","abbreviation":"SSO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SSO","name":"SSO","portal":"BioPortal"}],"deprecation_date":"2023-09-14","deprecation_reason":"The resource homepage no longer exists, and a new homepage cannot be found. The resource may still be downloaded from BioPortal, as shown in this record, however it has not been updated since 2009."},"legacy_ids":["bsg-002635","bsg-s002635"],"name":"FAIRsharing record for: Syndromic Surveillance Ontology","abbreviation":"SSO","url":"https://fairsharing.org/10.25504/FAIRsharing.ret599","doi":"10.25504/FAIRsharing.ret599","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Most syndromic surveillance systems use data from ED visits, often free-text chief complaints. Classification of chief complaints into syndromes is often inconsistent, due to the lack of agreement about the concepts that define a syndrome and how individual terms or strings map to these concepts. The Syndromic Surveillance Ontology addresses this problem by formally encoding a set of consensus definitions for syndromes in terms of ED chief complaints in a standard shareable format. The goal of the project is to ensure that consensus syndrome definitions are disseminated broadly, maintained collaboratively, and incorporated easily into automated systems.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12464}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Taxonomic classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan","United States"],"publications":[],"licence_links":[],"grants":[{"id":6631,"fairsharing_record_id":1027,"organisation_id":2669,"relation":"maintains","created_at":"2021-09-30T09:28:08.279Z","updated_at":"2021-09-30T09:28:08.279Z","grant_id":null,"is_lead":false,"saved_state":{"id":2669,"name":"Surveillance Lab, McGill University, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6632,"fairsharing_record_id":1027,"organisation_id":3115,"relation":"associated_with","created_at":"2021-09-30T09:28:08.312Z","updated_at":"2022-01-16T08:42:35.794Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":6630,"fairsharing_record_id":1027,"organisation_id":2039,"relation":"maintains","created_at":"2021-09-30T09:28:08.178Z","updated_at":"2021-09-30T09:28:08.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":2039,"name":"National Institutes of Informatics (NII), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1028","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.715Z","metadata":{"doi":"10.25504/FAIRsharing.8a7a0w","name":"verteberate Homologous Organ Groups","status":"ready","contacts":[{"contact_name":"Bgee team","contact_email":"Bgee@sib.swiss"}],"homepage":"http://bioportal.bioontology.org/ontologies/VHOG?p=summary","identifier":1028,"description":"vHOG is a multi-species anatomical ontology for the vertebrate lineage, developed as part of the Bgee project. A mapping to species-specific anatomical ontologies is also provided. This mapping represents homology-strict relationships, in the sense of HOM:0000007 historical homology. Each mapping has been manually reviewed, and we provide confidence codes and references when available.","abbreviation":"vHOG","year_creation":2011,"cross_references":[{"url":"http://www.obofoundry.org/ontology/vhog.html","name":"vhog","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000018","bsg-s000018"],"name":"FAIRsharing record for: verteberate Homologous Organ Groups","abbreviation":"vHOG","url":"https://fairsharing.org/10.25504/FAIRsharing.8a7a0w","doi":"10.25504/FAIRsharing.8a7a0w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: vHOG is a multi-species anatomical ontology for the vertebrate lineage, developed as part of the Bgee project. A mapping to species-specific anatomical ontologies is also provided. This mapping represents homology-strict relationships, in the sense of HOM:0000007 historical homology. Each mapping has been manually reviewed, and we provide confidence codes and references when available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Homologous","Organ","Life cycle stage"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":2462,"pubmed_id":22285560,"title":"vHOG, a multispecies vertebrate ontology of homologous organs groups.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts048","authors":"Niknejad A,Comte A,Parmentier G,Roux J,Bastian FB,Robinson-Rechavi M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts048","created_at":"2021-09-30T08:27:01.961Z","updated_at":"2021-09-30T08:27:01.961Z"}],"licence_links":[],"grants":[{"id":6633,"fairsharing_record_id":1028,"organisation_id":209,"relation":"maintains","created_at":"2021-09-30T09:28:08.349Z","updated_at":"2021-09-30T09:28:08.349Z","grant_id":null,"is_lead":false,"saved_state":{"id":209,"name":"BGEE administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6634,"fairsharing_record_id":1028,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:08.391Z","updated_at":"2021-09-30T09:28:08.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1029","type":"fairsharing_records","attributes":{"created_at":"2019-07-04T13:33:22.000Z","updated_at":"2022-07-20T11:38:36.540Z","metadata":{"doi":"10.25504/FAIRsharing.ba7c93","name":"CARARE Metadata Schema","status":"ready","contacts":[],"homepage":"https://pro.carare.eu/en/introduction-carare-aggregation-services/carare-metadata-schema/","citations":[],"identifier":1029,"description":"The CARARE metadata schema is a harvesting schema intended for delivering metadata about an organisation’s online collections, heritage assets and their digital resources. The strength of the schema lies with its ability to support the full range of descriptive information about monuments, building, landscape areas and their representations. The CARARE metadata schema builds on existing standards and best practice from a number of different countries in Europe and the rest of the world.","abbreviation":null,"support_links":[{"url":"https://pro.carare.eu/documents/8/the_carare_metadata_schema2.pdf","name":"The CARARE metadata schema, v.2.0","type":"Help documentation"},{"url":"https://pro.carare.eu/en/introduction-carare-aggregation-services/carare-metadata-schema/#header-3-1","name":"Schema elements","type":"Help documentation"},{"url":"https://pro.carare.eu/en/introduction-carare-aggregation-services/carare-metadata-schema/#header-2-1","name":"Schema Background","type":"Help documentation"},{"url":"https://pro.carare.eu/documents/10/carare_metadata_schema_outline_v1.1_1_.pdf","name":"https://pro.carare.eu/documents/10/carare_metadata_schema_outline_v1.1_1_.pdf","type":"Help documentation"}]},"legacy_ids":["bsg-001386","bsg-s001386"],"name":"FAIRsharing record for: CARARE Metadata Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ba7c93","doi":"10.25504/FAIRsharing.ba7c93","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CARARE metadata schema is a harvesting schema intended for delivering metadata about an organisation’s online collections, heritage assets and their digital resources. The strength of the schema lies with its ability to support the full range of descriptive information about monuments, building, landscape areas and their representations. The CARARE metadata schema builds on existing standards and best practice from a number of different countries in Europe and the rest of the world.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Archaeology","Culture","Architecture","History","Construction History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Ireland"],"publications":[{"id":3206,"pubmed_id":null,"title":"CARARE 2.0: A metadata schema for 3D cultural objects","year":2014,"url":"http://dx.doi.org/10.1109/DigitalHeritage.2013.6744745","authors":"D'Andrea, Andrea; Fernie, Kate; ","journal":"2013 Digital Heritage International Congress (DigitalHeritage)","doi":"10.1109/digitalheritage.2013.6744745","created_at":"2022-02-01T14:59:05.270Z","updated_at":"2022-02-01T14:59:05.270Z"}],"licence_links":[],"grants":[{"id":6635,"fairsharing_record_id":1029,"organisation_id":372,"relation":"maintains","created_at":"2021-09-30T09:28:08.428Z","updated_at":"2021-09-30T09:28:08.428Z","grant_id":null,"is_lead":true,"saved_state":{"id":372,"name":"CARARE, Dublin, Ireland","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1012","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:54:17.452Z","metadata":{"doi":"10.25504/FAIRsharing.4dvtcz","name":"Cell Line Ontology","status":"ready","contacts":[{"contact_name":"Sirarat Sarntivijai","contact_email":"Sirarat.Sarntivijai@fda.hhs.gov","contact_orcid":"0000-0002-2548-641X"}],"homepage":"https://github.com/CLO-ontology/CLO","citations":[{"doi":"10.1186/2041-1480-5-37","pubmed_id":25852852,"publication_id":980}],"identifier":1012,"description":"The Cell Line Ontology (CLO) is a community-driven ontology that is developed to standardize and integrate cell line information and support computer-assisted reasoning. Thousands of cell lines have been artificially developed and used for different applications. Integration of data from multiple sources is a challenge, confounded by lack of consistent naming conventions, contamination of cell lines, and provision of the same cell lines by multiple commercial sources but with different biological attributes. CLO is a community-based effort to represent all cell lines in a standard ontology approach.","abbreviation":"CLO","support_links":[{"url":"Yongqunh@med.umich.edu","name":"Yongqunh@med.umich.edu","type":"Support email"},{"url":"https://github.com/CLO-ontology/CLO/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://groups.google.com/forum/#!forum/clo-discuss","name":"Google Groups Forum","type":"Forum"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CLO","name":"CLO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/clo.html","name":"clo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002627","bsg-s002627"],"name":"FAIRsharing record for: Cell Line Ontology","abbreviation":"CLO","url":"https://fairsharing.org/10.25504/FAIRsharing.4dvtcz","doi":"10.25504/FAIRsharing.4dvtcz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Line Ontology (CLO) is a community-driven ontology that is developed to standardize and integrate cell line information and support computer-assisted reasoning. Thousands of cell lines have been artificially developed and used for different applications. Integration of data from multiple sources is a challenge, confounded by lack of consistent naming conventions, contamination of cell lines, and provision of the same cell lines by multiple commercial sources but with different biological attributes. CLO is a community-based effort to represent all cell lines in a standard ontology approach.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18257},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10880},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11282},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12029},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16927}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Cell Biology"],"domains":["Cell line","Cell","Morphology"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":980,"pubmed_id":25852852,"title":"CLO: The cell line ontology.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-37","authors":"Sarntivijai S,Lin Y,Xiang Z,Meehan TF,Diehl AD,Vempati UD,Schurer SC,Pang C,Malone J,Parkinson H,Liu Y,Takatsuki T,Saijo K,Masuya H,Nakamura Y,Brush MH,Haendel MA,Zheng J,Stoeckert CJ,Peters B,Mungall CJ,Carey TE,States DJ,Athey BD,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-37","created_at":"2021-09-30T08:24:08.446Z","updated_at":"2021-09-30T08:24:08.446Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1564,"relation":"undefined"}],"grants":[{"id":6602,"fairsharing_record_id":1012,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:28:07.166Z","updated_at":"2021-09-30T09:28:07.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6603,"fairsharing_record_id":1012,"organisation_id":395,"relation":"maintains","created_at":"2021-09-30T09:28:07.206Z","updated_at":"2021-09-30T09:28:07.206Z","grant_id":null,"is_lead":true,"saved_state":{"id":395,"name":"Cell Line Ontology (CLO) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6604,"fairsharing_record_id":1012,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:28:07.249Z","updated_at":"2021-09-30T09:32:27.162Z","grant_id":1626,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"200754 Gen2Phen","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6596,"fairsharing_record_id":1012,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:06.927Z","updated_at":"2021-09-30T09:28:06.927Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6598,"fairsharing_record_id":1012,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:28:06.998Z","updated_at":"2021-09-30T09:28:06.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6600,"fairsharing_record_id":1012,"organisation_id":250,"relation":"maintains","created_at":"2021-09-30T09:28:07.069Z","updated_at":"2021-09-30T09:28:07.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6601,"fairsharing_record_id":1012,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:07.116Z","updated_at":"2021-09-30T09:29:34.586Z","grant_id":308,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R24OD011883","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6597,"fairsharing_record_id":1012,"organisation_id":1965,"relation":"funds","created_at":"2021-09-30T09:28:06.959Z","updated_at":"2021-09-30T09:29:51.836Z","grant_id":440,"is_lead":false,"saved_state":{"id":1965,"name":"National Center for Integrative Biomedical Informatics (NCBCS), Ann Arbor, MI, USA","grant":"U54 DA021519","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6599,"fairsharing_record_id":1012,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:28:07.036Z","updated_at":"2021-09-30T09:32:28.020Z","grant_id":1632,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"grants 1R01AI081062 (YH)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8470,"fairsharing_record_id":1012,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:47.569Z","updated_at":"2021-09-30T09:32:47.624Z","grant_id":1780,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01GM093132-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1013","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.505Z","metadata":{"doi":"10.25504/FAIRsharing.xeh248","name":"Ontology for Genetic Disease Investigations","status":"ready","contacts":[{"contact_name":"Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"https://code.google.com/archive/p/ogsf/","identifier":1013,"description":"This ontology is used to model scientific investigation, especially Genome-Wide Association Studies (GWAS), to discover genetic susceptibility factors to disease, such as Diabetes. It models the genetic variants, polymorphisms, statistical measurement, populations and other elements that are essential to determine a genetic susceptibility factor in GWAS study. It must be used with other two ontologies, in the case of Diabetes: Ontology of Geographical Region (OGR) and Ontology of Glucose Metabolism (OGMD). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","abbreviation":"OGDI","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php#ontology","name":"He Group Ontology page","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGDI","name":"OGDI","portal":"BioPortal"}]},"legacy_ids":["bsg-002613","bsg-s002613"],"name":"FAIRsharing record for: Ontology for Genetic Disease Investigations","abbreviation":"OGDI","url":"https://fairsharing.org/10.25504/FAIRsharing.xeh248","doi":"10.25504/FAIRsharing.xeh248","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is used to model scientific investigation, especially Genome-Wide Association Studies (GWAS), to discover genetic susceptibility factors to disease, such as Diabetes. It models the genetic variants, polymorphisms, statistical measurement, populations and other elements that are essential to determine a genetic susceptibility factor in GWAS study. It must be used with other two ontologies, in the case of Diabetes: Ontology of Geographical Region (OGR) and Ontology of Glucose Metabolism (OGMD). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Statistics","Biomedical Science"],"domains":["Genetic polymorphism","Assay","Genome","Sequence variant","Genome-wide association study","Diabetes mellitus"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":449,"pubmed_id":24963371,"title":"The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-19","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-19","created_at":"2021-09-30T08:23:08.751Z","updated_at":"2021-09-30T08:23:08.751Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1600,"relation":"undefined"}],"grants":[{"id":6605,"fairsharing_record_id":1013,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:07.286Z","updated_at":"2021-09-30T09:28:07.286Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6606,"fairsharing_record_id":1013,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:07.323Z","updated_at":"2021-09-30T09:30:30.674Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1014","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:43.897Z","metadata":{"doi":"10.25504/FAIRsharing.zsnv69","name":"Multiple alignment","status":"deprecated","contacts":[{"contact_name":"Julie Thompson","contact_email":"julie@igbmc.u-strasbg.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/1026","identifier":1014,"description":"MAO is an ontology for multiple alignments of nucleic and protein sequences. MAO is designed to improve interoperation and data sharing between different alignment protocols for the construction of a high quality, reliable multiple alignment in order to facilitate knowledge extraction and the presentation of the most pertinent information to the biologist.","abbreviation":"MAO","cross_references":[{"url":"http://www.obofoundry.org/ontology/mao.html","name":"mao","portal":"OBO Foundry"}],"deprecation_date":"2016-05-06","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found. The OBO Foundry has listed this resource as deprecated."},"legacy_ids":["bsg-002608","bsg-s002608"],"name":"FAIRsharing record for: Multiple alignment","abbreviation":"MAO","url":"https://fairsharing.org/10.25504/FAIRsharing.zsnv69","doi":"10.25504/FAIRsharing.zsnv69","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MAO is an ontology for multiple alignments of nucleic and protein sequences. MAO is designed to improve interoperation and data sharing between different alignment protocols for the construction of a high quality, reliable multiple alignment in order to facilitate knowledge extraction and the presentation of the most pertinent information to the biologist.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Nucleic acid sequence","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":984,"pubmed_id":16043635,"title":"MAO: a Multiple Alignment Ontology for nucleic acid and protein sequences.","year":2005,"url":"http://doi.org/10.1093/nar/gki735","authors":"Thompson JD,Holbrook SR,Katoh K,Koehl P,Moras D,Westhof E,Poch O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki735","created_at":"2021-09-30T08:24:08.894Z","updated_at":"2021-09-30T11:28:56.534Z"}],"licence_links":[],"grants":[{"id":6608,"fairsharing_record_id":1014,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:28:07.404Z","updated_at":"2021-09-30T09:28:07.404Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6607,"fairsharing_record_id":1014,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:28:07.365Z","updated_at":"2021-09-30T09:28:07.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1015","type":"fairsharing_records","attributes":{"created_at":"2018-04-09T15:22:43.000Z","updated_at":"2022-04-11T12:07:33.800Z","metadata":{"doi":"10.25504/FAIRsharing.kK7dbW","name":"Neuroscience Information Exchange Format","status":"ready","contacts":[{"contact_name":"Thomas Wachtler","contact_email":"info@g-node.org","contact_orcid":"0000-0003-2015-6590"}],"homepage":"https://g-node.github.io/nix/","identifier":1015,"description":"NIX defines a data model for annotated scientific datasets, i.e. data together with metadata, and a corresponding file format based on HDF5 for storing and sharing such datasets. In particular, this format was developed for storing electrophysiology and other neuroscience data together with their metadata. However, the data model is also able to represent other kinds of data used in the field e.g. image data or image stacks.","abbreviation":"NIX","support_links":[{"url":"nix@g-node.org","name":"NIX support","type":"Support email"},{"url":"http://g-node.github.io/nixpy/","name":"NIX Python Binding Documentation and Tutorials","type":"Github"}],"year_creation":2013,"associated_tools":[{"url":"https://github.com/G-Node/nixpy/releases/latest","name":"NIX Python bindings latest"},{"url":"https://github.com/G-Node/nix-mx/releases/latest","name":"NIX Matlab bindings latest"},{"url":"https://github.com/bendalab/NixView/releases/tag/version_0.1","name":"NIX Viewer 0.1"}]},"legacy_ids":["bsg-001169","bsg-s001169"],"name":"FAIRsharing record for: Neuroscience Information Exchange Format","abbreviation":"NIX","url":"https://fairsharing.org/10.25504/FAIRsharing.kK7dbW","doi":"10.25504/FAIRsharing.kK7dbW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIX defines a data model for annotated scientific datasets, i.e. data together with metadata, and a corresponding file format based on HDF5 for storing and sharing such datasets. In particular, this format was developed for storing electrophysiology and other neuroscience data together with their metadata. However, the data model is also able to represent other kinds of data used in the field e.g. image data or image stacks.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18310},{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12387}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Health Science","Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics"],"countries":["Germany"],"publications":[{"id":2071,"pubmed_id":null,"title":"File format and library for neuroscience data and metadata","year":2014,"url":"http://doi.org/10.3389/conf.fninf.2014.18.00027","authors":"Stoewer A, Kellner CJ, Benda J, Wachtler T, Grewe J","journal":"Front. Neuroinform. Conference Abstract: Neuroinformatics 2014","doi":"10.3389/conf.fninf.2014.18.00027","created_at":"2021-09-30T08:26:13.482Z","updated_at":"2021-09-30T08:26:13.482Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2344,"relation":"undefined"},{"licence_name":"NIX-specific BSD 3-clause license","licence_id":591,"licence_url":"https://github.com/G-Node/nix/blob/master/LICENSE","link_id":2343,"relation":"undefined"}],"grants":[{"id":6610,"fairsharing_record_id":1015,"organisation_id":1730,"relation":"maintains","created_at":"2021-09-30T09:28:07.464Z","updated_at":"2021-09-30T09:28:07.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":1730,"name":"Ludwig-Maximilians-Universitt Mnchen, Department Biologie II, Division of Neurobiology, Munich, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9345,"fairsharing_record_id":1015,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.923Z","updated_at":"2022-04-11T12:07:31.941Z","grant_id":1519,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ1302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9370,"fairsharing_record_id":1015,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.774Z","updated_at":"2022-04-11T12:07:33.790Z","grant_id":1587,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ0801","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1016","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:08:17.971Z","metadata":{"doi":"10.25504/FAIRsharing.4gwycd","name":"Just Enough Results Model Ontology","status":"ready","contacts":[{"contact_name":"Katy Wolstencroft","contact_email":"kwolstencroft@cs.man.ac.uk","contact_orcid":"0000-0002-1279-5133"}],"homepage":"https://jermontology.org/","identifier":1016,"description":"The JERM provides a framework to describe SEEK assets and the relationships between assets and the experiments that created them. All assets are related to the scientists that created them and the projects they originate from, so the model captures provenance information as well as physical links between assets. JERM definitions for each type of data in SEEK is different, but highly overlapping and they comply with existing minimal information guidelines where they are available.","abbreviation":"JERM","support_links":[{"url":"https://fair-dom.org/contact","name":"Contact","type":"Contact form"},{"url":"stuart.owen@manchester.ac.uk","name":"Stuart Owen","type":"Support email"},{"url":"olga.krebs@h-its.org","name":"Olga Krebs","type":"Support email"},{"url":"https://github.com/FAIRdom/JERMOntology/issues","name":"GitHub Issue","type":"Github"},{"url":"https://github.com/FAIRdom/JERMOntology","name":"GitHub Project","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/JERM","name":"JERM","portal":"BioPortal"}]},"legacy_ids":["bsg-002663","bsg-s002663"],"name":"FAIRsharing record for: Just Enough Results Model Ontology","abbreviation":"JERM","url":"https://fairsharing.org/10.25504/FAIRsharing.4gwycd","doi":"10.25504/FAIRsharing.4gwycd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JERM provides a framework to describe SEEK assets and the relationships between assets and the experiments that created them. All assets are related to the scientists that created them and the projects they originate from, so the model captures provenance information as well as physical links between assets. JERM definitions for each type of data in SEEK is different, but highly overlapping and they comply with existing minimal information guidelines where they are available.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11171}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Experimental measurement","Biological sample","Assay","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1692,"relation":"undefined"}],"grants":[{"id":6612,"fairsharing_record_id":1016,"organisation_id":3078,"relation":"maintains","created_at":"2021-09-30T09:28:07.518Z","updated_at":"2021-09-30T09:28:07.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":3078,"name":"University of Leiden, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6615,"fairsharing_record_id":1016,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:07.628Z","updated_at":"2021-09-30T09:28:07.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6613,"fairsharing_record_id":1016,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:07.548Z","updated_at":"2021-09-30T09:28:07.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6614,"fairsharing_record_id":1016,"organisation_id":1231,"relation":"maintains","created_at":"2021-09-30T09:28:07.590Z","updated_at":"2021-09-30T09:28:07.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":1231,"name":"Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9364,"fairsharing_record_id":1016,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.297Z","updated_at":"2022-04-11T12:07:33.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1005","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:43:47.000Z","updated_at":"2023-09-29T11:54:58.289Z","metadata":{"doi":"10.25504/FAIRsharing.0ade3e","name":"Document management -- Electronic document file format for long-term preservation -- Part 1: Use of PDF 1.4 (PDF/A-1)","status":"ready","contacts":[{"contact_name":"Betsy Fanning","contact_email":"betsy.fanning@3dPDFconsortium.org"}],"homepage":"https://www.iso.org/standard/38920.html","citations":[],"identifier":1005,"description":"ISO 19005-1:2005 specifies how to use the Portable Document Format (PDF) 1.4 for long-term preservation of electronic documents. It is applicable to documents containing combinations of character, raster and vector data.","abbreviation":"ISO 19005-1:2005","support_links":[{"url":"http://www.pdf-tools.com/public/downloads/whitepapers/Whitepaper-PDFA-Standard-ISO-19005-US.pdf","name":"document","type":"Help documentation"},{"url":"https://www.iso.org/contents/data/standard/03/89/38920.detail.rss","name":"RSS Feed: Updates","type":"Blog/News"}],"year_creation":2005},"legacy_ids":["bsg-001259","bsg-s001259"],"name":"FAIRsharing record for: Document management -- Electronic document file format for long-term preservation -- Part 1: Use of PDF 1.4 (PDF/A-1)","abbreviation":"ISO 19005-1:2005","url":"https://fairsharing.org/10.25504/FAIRsharing.0ade3e","doi":"10.25504/FAIRsharing.0ade3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19005-1:2005 specifies how to use the Portable Document Format (PDF) 1.4 for long-term preservation of electronic documents. It is applicable to documents containing combinations of character, raster and vector data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Resource metadata","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["Data persistence"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":452,"relation":"undefined"}],"grants":[{"id":10922,"fairsharing_record_id":1005,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:14:03.206Z","updated_at":"2023-09-27T14:14:03.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6585,"fairsharing_record_id":1005,"organisation_id":1525,"relation":"maintains","created_at":"2021-09-30T09:28:06.535Z","updated_at":"2021-09-30T09:28:06.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1006","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:40.160Z","metadata":{"doi":"10.25504/FAIRsharing.x81wz8","name":"Healthcare Common Procedure Coding System","status":"ready","contacts":[{"contact_name":"Cynthia Hake","contact_email":"Cynthia.Hake@cms.hhs.gov"}],"homepage":"https://www.cms.gov/medicare/coding/medhcpcsgeninfo/index.html","identifier":1006,"description":"Each year, in the United States, health care insurers process over 5 billion claims for payment. For Medicare and other health insurance programs to ensure that these claims are processed in an orderly and consistent manner, standardized coding systems are essential. The HCPCS is divided into two principal subsystems, referred to as level I and level II of the HCPCS. Level I of the HCPCS is comprised of CPT (Current Procedural Terminology), a numeric coding system maintained by the American Medical Association (AMA). Level II of the HCPCS is a standardized coding system that is used primarily to identify products, supplies, and services not included in the CPT codes, such as ambulance services and durable medical equipment, prosthetics, orthotics, and supplies (DMEPOS) when used outside a physician's office.","abbreviation":"HCPCS","support_links":[{"url":"https://www.cms.gov/Medicare/Coding/MedHCPCSGenInfo/HCPCS_Coding_Questions.html","name":"HCPCS Coding Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/MLNProducts/Downloads/How-To-Use-NCCI-Tools.pdf","type":"Help documentation"},{"url":"https://www.cms.gov/Medicare/Coding/MedHCPCSGenInfo/HCPCSPublicMeetings.html","name":"HCPCS Public Meetings","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HCPCS","name":"HCPCS","portal":"BioPortal"}]},"legacy_ids":["bsg-002684","bsg-s002684"],"name":"FAIRsharing record for: Healthcare Common Procedure Coding System","abbreviation":"HCPCS","url":"https://fairsharing.org/10.25504/FAIRsharing.x81wz8","doi":"10.25504/FAIRsharing.x81wz8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Each year, in the United States, health care insurers process over 5 billion claims for payment. For Medicare and other health insurance programs to ensure that these claims are processed in an orderly and consistent manner, standardized coding systems are essential. The HCPCS is divided into two principal subsystems, referred to as level I and level II of the HCPCS. Level I of the HCPCS is comprised of CPT (Current Procedural Terminology), a numeric coding system maintained by the American Medical Association (AMA). Level II of the HCPCS is a standardized coding system that is used primarily to identify products, supplies, and services not included in the CPT codes, such as ambulance services and durable medical equipment, prosthetics, orthotics, and supplies (DMEPOS) when used outside a physician's office.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Business Administration","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6586,"fairsharing_record_id":1006,"organisation_id":443,"relation":"maintains","created_at":"2021-09-30T09:28:06.571Z","updated_at":"2021-09-30T09:28:06.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":443,"name":"Centers for Medicare \u0026 Medicaid Services (CMS), Department of Health and Human Services (HHS), Baltimore, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1007","type":"fairsharing_records","attributes":{"created_at":"2021-06-01T21:32:12.000Z","updated_at":"2024-06-06T08:16:22.093Z","metadata":{"doi":"10.25504/FAIRsharing.5d2dbc","name":"Plasma Metadata Schema","status":"ready","contacts":[{"contact_name":"Markus Becker","contact_email":"markus.becker@inp-greifswald.de","contact_orcid":"0000-0001-9324-3236"}],"homepage":"https://www.plasma-mds.org","citations":[{"doi":"10.1038/s41597-020-00771-0","pubmed_id":33335096,"publication_id":2357}],"identifier":1007,"description":"The Plasma Metadata Schema is a list of core metadata properties chosen for the accurate and consistent description of research data in the field of low-temperature plasma physics and plasma medicine.","abbreviation":"Plasma-MDS","support_links":[{"url":"https://github.com/plasma-mds/plasma-metadata-schema","type":"Github"}],"year_creation":2019},"legacy_ids":["bsg-001614","bsg-s001614"],"name":"FAIRsharing record for: Plasma Metadata Schema","abbreviation":"Plasma-MDS","url":"https://fairsharing.org/10.25504/FAIRsharing.5d2dbc","doi":"10.25504/FAIRsharing.5d2dbc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plasma Metadata Schema is a list of core metadata properties chosen for the accurate and consistent description of research data in the field of low-temperature plasma physics and plasma medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Atomic, Molecular, Optical and Plasma Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Plasma Physics"],"countries":["Germany"],"publications":[{"id":2357,"pubmed_id":33335096,"title":"Plasma-MDS, a metadata schema for plasma science with examples from plasma technology.","year":2020,"url":"http://doi.org/10.1038/s41597-020-00771-0","authors":"Steffen Franke, Lucian Paulet, Jan Schafer, Deborah O'Connell, Markus M. Becker","journal":"Sci. Data","doi":"10.1038/s41597-020-00771-0","created_at":"2021-09-30T08:26:49.753Z","updated_at":"2021-09-30T08:26:49.753Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":347,"relation":"undefined"},{"licence_name":"Plasma-MDS Privacy Policy","licence_id":930,"licence_url":"https://www.plasma-mds.org/policy.html","link_id":2666,"relation":"applies_to_content"},{"licence_name":"Plasma-NDS Legal Notice","licence_id":931,"licence_url":"https://www.plasma-mds.org/legal.html","link_id":2665,"relation":"applies_to_content"}],"grants":[{"id":10033,"fairsharing_record_id":1007,"organisation_id":2471,"relation":"associated_with","created_at":"2022-10-13T09:43:41.249Z","updated_at":"2022-10-13T09:43:41.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":2471,"name":"Ruhr-Universitat Bochum","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10034,"fairsharing_record_id":1007,"organisation_id":749,"relation":"funds","created_at":"2022-10-13T09:43:41.355Z","updated_at":"2022-10-13T09:43:41.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10035,"fairsharing_record_id":1007,"organisation_id":1698,"relation":"associated_with","created_at":"2022-10-13T09:43:41.462Z","updated_at":"2022-10-13T09:43:41.462Z","grant_id":null,"is_lead":false,"saved_state":{"id":1698,"name":"Leibniz Institute for Plasma Science and Technology","types":["Research institute"],"is_lead":false,"relation":"associated_with"}},{"id":9365,"fairsharing_record_id":1007,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.349Z","updated_at":"2022-04-11T12:07:33.367Z","grant_id":24,"is_lead":false,"saved_state":{"id":333,"name":"Federal Ministry of Education and Research","grant":"16QK03A","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9371,"fairsharing_record_id":1007,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.857Z","updated_at":"2022-04-11T12:07:33.873Z","grant_id":1677,"is_lead":false,"saved_state":{"id":333,"name":"Federal Ministry of Education and Research","grant":"16FDM005","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1008","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.448Z","metadata":{"doi":"10.25504/FAIRsharing.rvssy8","name":"Terminology of Anatomy of Human Histology","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1535","identifier":1008,"description":"\"Terminology of Anatomy of Human Histology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1535. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Histology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"TAHH","deprecation_date":"2016-05-05","deprecation_reason":"This resource has been deprecated."},"legacy_ids":["bsg-002689","bsg-s002689"],"name":"FAIRsharing record for: Terminology of Anatomy of Human Histology","abbreviation":"TAHH","url":"https://fairsharing.org/10.25504/FAIRsharing.rvssy8","doi":"10.25504/FAIRsharing.rvssy8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Terminology of Anatomy of Human Histology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1535. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Histology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Biomedical Science"],"domains":["Histology"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[],"grants":[{"id":6588,"fairsharing_record_id":1008,"organisation_id":3057,"relation":"undefined","created_at":"2021-09-30T09:28:06.655Z","updated_at":"2021-09-30T09:28:06.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":3057,"name":"University of Fribourg, Switzerland","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1009","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T19:45:16.000Z","updated_at":"2023-09-29T11:54:58.898Z","metadata":{"doi":"10.25504/FAIRsharing.8fe1f1","name":"Language resource management -- Word segmentation of written texts -- Part 1: Basic concepts and general principles","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/41665.html","citations":[],"identifier":1009,"description":"ISO 24614-1:2010 presents the basic concepts and general principles of word segmentation, and provides language-independent guidelines to enable written texts to be segmented, in a reliable and reproducible manner, into word segmentation units (WSU). The many applications and fields that need to segment texts into words — and thus to which ISO 24614-1:2010 can be applied — include translation, content management, speech technologies, computational linguistics and lexicography. There are two additional parts to this standard.","abbreviation":"ISO 24614-1:2010","support_links":[{"url":"https://www.iso.org/contents/data/standard/04/16/41665.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001283","bsg-s001283"],"name":"FAIRsharing record for: Language resource management -- Word segmentation of written texts -- Part 1: Basic concepts and general principles","abbreviation":"ISO 24614-1:2010","url":"https://fairsharing.org/10.25504/FAIRsharing.8fe1f1","doi":"10.25504/FAIRsharing.8fe1f1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24614-1:2010 presents the basic concepts and general principles of word segmentation, and provides language-independent guidelines to enable written texts to be segmented, in a reliable and reproducible manner, into word segmentation units (WSU). The many applications and fields that need to segment texts into words — and thus to which ISO 24614-1:2010 can be applied — include translation, content management, speech technologies, computational linguistics and lexicography. There are two additional parts to this standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Database Management","Linguistics"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":458,"relation":"undefined"}],"grants":[{"id":6589,"fairsharing_record_id":1009,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:06.693Z","updated_at":"2021-09-30T09:28:06.693Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10926,"fairsharing_record_id":1009,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:17:33.191Z","updated_at":"2023-09-27T14:17:33.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1010","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:45.000Z","updated_at":"2024-03-21T13:58:12.934Z","metadata":{"doi":"10.25504/FAIRsharing.72mafs","name":"LINCS Pilot Phase 1 Metadata Standards: Antibody Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":1010,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor).","abbreviation":"LINCS 1: Antibody Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_AntibodyReagents_Metadata_Release_Oct-12-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Antibody Reagents standard (https://biosharing.org/bsg-s000657) and as such has been superseded by this standard."},"legacy_ids":["bsg-000667","bsg-s000667"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Antibody Reagents","abbreviation":"LINCS 1: Antibody Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.72mafs","doi":"10.25504/FAIRsharing.72mafs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor).","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11898}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6591,"fairsharing_record_id":1010,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:06.749Z","updated_at":"2021-09-30T09:28:06.749Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11543,"fairsharing_record_id":1010,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:12.899Z","updated_at":"2024-03-21T13:58:12.899Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"999","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-03T10:55:23.942Z","metadata":{"doi":"10.25504/FAIRsharing.yr61md","name":"CDISC Define eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/define-xml","citations":[],"identifier":999,"description":"Define-XML transmits metadata that describes any tabular dataset structure. When used with the CDISC content standards, it provides the metadata for human and animal model datasets using the SDTM and/or SEND standards and analysis datasets using ADaM. Define-XML is required by the United States Food and Drug Administration (FDA) and the Japanese Pharmaceuticals and Medical Devices Agency (PMDA) for every study in each electronic submission to inform the regulators which datasets, variables, controlled terms, and other specified metadata were used.","abbreviation":"CDISC Define-XML","support_links":[{"url":"https://www.cdisc.org/education/course/define-xml","name":"Define-XML","type":"Training documentation"}]},"legacy_ids":["bsg-000116","bsg-s000116"],"name":"FAIRsharing record for: CDISC Define eXtensible Markup Language","abbreviation":"CDISC Define-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.yr61md","doi":"10.25504/FAIRsharing.yr61md","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Define-XML transmits metadata that describes any tabular dataset structure. When used with the CDISC content standards, it provides the metadata for human and animal model datasets using the SDTM and/or SEND standards and analysis datasets using ADaM. Define-XML is required by the United States Food and Drug Administration (FDA) and the Japanese Pharmaceuticals and Medical Devices Agency (PMDA) for every study in each electronic submission to inform the regulators which datasets, variables, controlled terms, and other specified metadata were used.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17393},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11275},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11807},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11975},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12423}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6575,"fairsharing_record_id":999,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:06.189Z","updated_at":"2021-09-30T09:28:06.189Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6573,"fairsharing_record_id":999,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:28:06.072Z","updated_at":"2021-09-30T09:28:06.072Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6574,"fairsharing_record_id":999,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:06.109Z","updated_at":"2021-09-30T09:28:06.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6576,"fairsharing_record_id":999,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:28:06.227Z","updated_at":"2021-09-30T09:28:06.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1000","type":"fairsharing_records","attributes":{"created_at":"2018-08-14T22:43:48.000Z","updated_at":"2023-09-29T11:55:03.601Z","metadata":{"name":"Management of terminology resources -- Data category specifications","status":"in_development","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/69550.html","citations":[],"identifier":1000,"description":"ISO 12620 is under development, with its previously-releases version 12620:2009 now withdrawn. ISO 12620 will provide similar guidelines to the earlier version, which dealt with constraints related to the implementation of a Data Category Registry (DCR) applicable to all types of language resources, for example, terminological, lexicographical, corpus-based, machine translation, etc. It specifies mechanisms for creating, selecting and maintaining data categories, as well as an interchange format for representing them.","abbreviation":"ISO/PRF 12620","support_links":[{"url":"https://www.iso.org/standard/37243.html","name":"Previous (ISO 12620:2009) version","type":"Help documentation"},{"url":"https://www.iso.org/contents/data/standard/06/95/69550.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1999},"legacy_ids":["bsg-001235","bsg-s001235"],"name":"FAIRsharing record for: Management of terminology resources -- Data category specifications","abbreviation":"ISO/PRF 12620","url":"https://fairsharing.org/fairsharing_records/1000","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 12620 is under development, with its previously-releases version 12620:2009 now withdrawn. ISO 12620 will provide similar guidelines to the earlier version, which dealt with constraints related to the implementation of a Data Category Registry (DCR) applicable to all types of language resources, for example, terminological, lexicographical, corpus-based, machine translation, etc. It specifies mechanisms for creating, selecting and maintaining data categories, as well as an interchange format for representing them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Resource metadata","Cognition"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Switzerland","Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":927,"relation":"undefined"}],"grants":[{"id":6577,"fairsharing_record_id":1000,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:06.263Z","updated_at":"2021-09-30T09:28:06.263Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10948,"fairsharing_record_id":1000,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:52:51.914Z","updated_at":"2023-09-27T14:52:51.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1001","type":"fairsharing_records","attributes":{"created_at":"2018-08-12T09:09:29.000Z","updated_at":"2022-02-08T10:47:19.575Z","metadata":{"doi":"10.25504/FAIRsharing.9682e6","name":"Codes for the Human Analysis of Transcripts","status":"ready","contacts":[{"contact_name":"Brian MacWhiney","contact_email":"macw@cmu.edu"}],"homepage":"https://talkbank.org/manuals/CHAT.pdf","citations":[],"identifier":1001,"description":"Codes for the Human Analysis of Transcripts (CHAT) is a common transcriptional format for children's language transcription. CHAT is supported by many tools used in child language research. The CHAT system provides a standardized format for producing computerized transcripts of face-to-face conversational interactions. These interactions may involve children and parents, doctors and patients, or teachers and second-language learners. Despite the differences between these interactions, there are enough common features to allow for the creation of a single general transcription system. T","abbreviation":"CHAT","support_links":[{"url":"https://youtu.be/kUq33_KapgI","name":"Creating a CHAT file from scratch","type":"Help documentation"},{"url":"https://childes.talkbank.org/","name":"CHILDES Resources","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001231","bsg-s001231"],"name":"FAIRsharing record for: Codes for the Human Analysis of Transcripts","abbreviation":"CHAT","url":"https://fairsharing.org/10.25504/FAIRsharing.9682e6","doi":"10.25504/FAIRsharing.9682e6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Codes for the Human Analysis of Transcripts (CHAT) is a common transcriptional format for children's language transcription. CHAT is supported by many tools used in child language research. The CHAT system provides a standardized format for producing computerized transcripts of face-to-face conversational interactions. These interactions may involve children and parents, doctors and patients, or teachers and second-language learners. Despite the differences between these interactions, there are enough common features to allow for the creation of a single general transcription system. T","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation","Cognition","Transcript"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":831,"relation":"undefined"}],"grants":[{"id":6578,"fairsharing_record_id":1001,"organisation_id":2753,"relation":"maintains","created_at":"2021-09-30T09:28:06.300Z","updated_at":"2021-09-30T09:28:06.300Z","grant_id":null,"is_lead":true,"saved_state":{"id":2753,"name":"The CHILDES Project, Pittsburg, United States","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6579,"fairsharing_record_id":1001,"organisation_id":377,"relation":"maintains","created_at":"2021-09-30T09:28:06.333Z","updated_at":"2021-09-30T09:28:06.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":377,"name":"Carnegie Mellon University, Pittsburg, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1002","type":"fairsharing_records","attributes":{"created_at":"2018-09-10T20:49:05.000Z","updated_at":"2022-07-20T09:06:39.429Z","metadata":{"name":"W3C XML Schema Definition Language Part 1: Structures","status":"ready","contacts":[{"contact_name":"Shudi (Sandy) Gao","contact_email":"sandygao@ca.ibm.com"}],"homepage":"https://www.w3.org/TR/xmlschema11-1/","identifier":1002,"description":"XML Schema Definition Language (XSD): Structures is to define the nature of XSD schemas and their component parts, provide an inventory of XML markup constructs with which to represent schemas, and define the application of schemas to XML documents. XML Schema 1.1 (in two parts) is a W3C Recommendation. It is intended to be mostly compatible with XML Schema 1.0 and to have approximately the same scope, but also to fix bugs and make whatever improvements we can, consistent with the constraints on scope and compatibility. The two parts are: XML Schema 1.1 Part 2: Datatypes, and XML Schema 1.1 Part 1: Structures.","abbreviation":"XSD","support_links":[{"url":"www-xml-schema-comments@w3.org","name":"W3C XML Schema Comments","type":"Support email"}],"year_creation":2001},"legacy_ids":["bsg-001288","bsg-s001288"],"name":"FAIRsharing record for: W3C XML Schema Definition Language Part 1: Structures","abbreviation":"XSD","url":"https://fairsharing.org/fairsharing_records/1002","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Schema Definition Language (XSD): Structures is to define the nature of XSD schemas and their component parts, provide an inventory of XML markup constructs with which to represent schemas, and define the application of schemas to XML documents. XML Schema 1.1 (in two parts) is a W3C Recommendation. It is intended to be mostly compatible with XML Schema 1.0 and to have approximately the same scope, but also to fix bugs and make whatever improvements we can, consistent with the constraints on scope and compatibility. The two parts are: XML Schema 1.1 Part 2: Datatypes, and XML Schema 1.1 Part 1: Structures.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14725}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":[],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":2,"relation":"undefined"}],"grants":[{"id":6580,"fairsharing_record_id":1002,"organisation_id":3213,"relation":"maintains","created_at":"2021-09-30T09:28:06.357Z","updated_at":"2021-09-30T09:28:06.357Z","grant_id":null,"is_lead":true,"saved_state":{"id":3213,"name":"W3C XML Schema Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1003","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T15:33:50.804Z","metadata":{"doi":"10.25504/FAIRsharing.8j2p80","name":"Neural-Immune Gene Ontology","status":"deprecated","contacts":[{"contact_name":"Eitan Rubin","contact_email":"erubin@bgu.ac.il","contact_orcid":"0000-0002-7807-4005"}],"homepage":"http://bioinfo.bgu.ac.il/rubin/supplementary/NIGO/Supplementary.html","citations":[],"identifier":1003,"description":"The Neural-Immune Gene Ontology (NIGO) is a subset of GO directed for neurological and immunological systems. NIGO was created by clipping those GO terms that are not associated to any gene in human, rat and mouse, and by clipping terms not found to be relevant to the neural and/or immune domains.","abbreviation":"NIGO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIGO","name":"NIGO","portal":"BioPortal"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002693","bsg-s002693"],"name":"FAIRsharing record for: Neural-Immune Gene Ontology","abbreviation":"NIGO","url":"https://fairsharing.org/10.25504/FAIRsharing.8j2p80","doi":"10.25504/FAIRsharing.8j2p80","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neural-Immune Gene Ontology (NIGO) is a subset of GO directed for neurological and immunological systems. NIGO was created by clipping those GO terms that are not associated to any gene in human, rat and mouse, and by clipping terms not found to be relevant to the neural and/or immune domains.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12460}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Immunology","Computational Biology","Life Science"],"domains":["Expression data","Cellular component"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel","Italy"],"publications":[{"id":1758,"pubmed_id":20831831,"title":"The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-458","authors":"Geifman N,Monsonego A,Rubin E","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-458","created_at":"2021-09-30T08:25:37.273Z","updated_at":"2021-09-30T08:25:37.273Z"}],"licence_links":[],"grants":[{"id":6581,"fairsharing_record_id":1003,"organisation_id":200,"relation":"maintains","created_at":"2021-09-30T09:28:06.382Z","updated_at":"2021-09-30T09:28:06.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":200,"name":"Ben-Gurion University of the Negev, Israel","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6582,"fairsharing_record_id":1003,"organisation_id":2012,"relation":"funds","created_at":"2021-09-30T09:28:06.413Z","updated_at":"2021-09-30T09:28:06.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":2012,"name":"National Institute of Biotechnology in the Negev, Beer-Sheva, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1017","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:14:28.000Z","updated_at":"2022-07-20T11:27:10.596Z","metadata":{"name":"Ontologies of Linguistic Annotation","status":"deprecated","contacts":[],"homepage":"http://www.acoli.informatik.uni-frankfurt.de/resources/olia/","citations":[{"publication_id":2314}],"identifier":1017,"description":"The OLiA ontologies represent a repository of annotation terminology for various linguistic phenomena for many languages. They have been used to facilitate interoperability and information integration of linguistic annotations in corpora, NLP pipelines, and lexical-semantic resources.","abbreviation":"OLiA","support_links":[{"url":"http://sourceforge.net/projects/olia/","name":"Sourceforge Project","type":"Help documentation"}],"year_creation":2005,"deprecation_date":"2022-02-07","deprecation_reason":"This resource is no longer available at the stated homepage, and a new project site cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-001257","bsg-s001257"],"name":"FAIRsharing record for: Ontologies of Linguistic Annotation","abbreviation":"OLiA","url":"https://fairsharing.org/fairsharing_records/1017","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OLiA ontologies represent a repository of annotation terminology for various linguistic phenomena for many languages. They have been used to facilitate interoperability and information integration of linguistic annotations in corpora, NLP pipelines, and lexical-semantic resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Linguistics"],"domains":["Annotation","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2314,"pubmed_id":null,"title":"OLiA – Ontologies of Linguistic Annotation","year":2012,"url":"http://semantic-web-journal.net/content/olia-%E2%80%93-ontologies-linguistic-annotation","authors":"Christian Chiarcos, Maria Sukhareva","journal":"Semantic Web Journal","doi":null,"created_at":"2021-09-30T08:26:43.941Z","updated_at":"2021-09-30T11:29:51.637Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1050,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1047,"relation":"undefined"}],"grants":[{"id":6616,"fairsharing_record_id":1017,"organisation_id":104,"relation":"maintains","created_at":"2021-09-30T09:28:07.666Z","updated_at":"2021-09-30T09:28:07.666Z","grant_id":null,"is_lead":true,"saved_state":{"id":104,"name":"Applied Computational Linguistics (ACoLi) Lab, Institut fur Informatik, Goethe Universitat, Frankfurt am Main, Germany","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1018","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:09.000Z","updated_at":"2024-03-21T13:59:03.234Z","metadata":{"doi":"10.25504/FAIRsharing.t05h3c","name":"LINCS Extended Metadata Standard: Induced Pluripotent Stem Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/iPSC_Metadata_2017.pdf","citations":[],"identifier":1018,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Induced pluripotent stem cells (iPSCs) are adult cells that have been genetically reprogrammed to an embryonic stem cell–like state by being forced to express genes and factors important for maintaining the defining properties of embryonic stem cells.","abbreviation":"LINCS 2: iPSCs","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/iPSC_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000653","bsg-s000653"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Induced Pluripotent Stem Cells","abbreviation":"LINCS 2: iPSCs","url":"https://fairsharing.org/10.25504/FAIRsharing.t05h3c","doi":"10.25504/FAIRsharing.t05h3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Induced pluripotent stem cells (iPSCs) are adult cells that have been genetically reprogrammed to an embryonic stem cell–like state by being forced to express genes and factors important for maintaining the defining properties of embryonic stem cells.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11896},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12490}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Epigenomics","Epigenetics","Life Science"],"domains":["Pluripotent stem cell","Karyotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":6618,"fairsharing_record_id":1018,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:07.737Z","updated_at":"2021-09-30T09:28:07.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11573,"fairsharing_record_id":1018,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:03.038Z","updated_at":"2024-03-21T13:59:03.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1019","type":"fairsharing_records","attributes":{"created_at":"2018-03-13T19:43:22.000Z","updated_at":"2022-07-20T11:46:09.262Z","metadata":{"doi":"10.25504/FAIRsharing.af7a2d","name":"Brassica Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_348:ROOT","citations":[],"identifier":1019,"description":"Brassica Trait Ontology (BRaTO) hosts trait information to describe brassica crop data. Terms are collected from various projects including OREGIN, RIPR (UK) and Rapsodyn (France). Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brassica Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_348","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"https://github.com/Brassica-Trait-Ontology/brato/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://www.cropontology.org/help","name":"Help page","type":"Help documentation"},{"url":"https://github.com/Brassica-Trait-Ontology/brato","name":"GitHub","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001141","bsg-s001141"],"name":"FAIRsharing record for: Brassica Ontology","abbreviation":"CO_348","url":"https://fairsharing.org/10.25504/FAIRsharing.af7a2d","doi":"10.25504/FAIRsharing.af7a2d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Brassica Trait Ontology (BRaTO) hosts trait information to describe brassica crop data. Terms are collected from various projects including OREGIN, RIPR (UK) and Rapsodyn (France). Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brassica Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Brassica"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Australia","France","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1761,"relation":"undefined"}],"grants":[{"id":6622,"fairsharing_record_id":1019,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:07.899Z","updated_at":"2021-09-30T09:28:07.899Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6619,"fairsharing_record_id":1019,"organisation_id":801,"relation":"maintains","created_at":"2021-09-30T09:28:07.779Z","updated_at":"2021-09-30T09:28:07.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":801,"name":"Earlham Institute, Norwich, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6620,"fairsharing_record_id":1019,"organisation_id":2601,"relation":"maintains","created_at":"2021-09-30T09:28:07.807Z","updated_at":"2021-09-30T09:28:07.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":2601,"name":"Southern Cross University, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6621,"fairsharing_record_id":1019,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:07.849Z","updated_at":"2021-09-30T09:28:07.849Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1020","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2023-03-13T09:20:34.603Z","metadata":{"doi":"10.25504/FAIRsharing.tz6hz6","name":"Ontology of Consumer Health Vocabulary","status":"ready","contacts":[{"contact_name":"Tuan Amith","contact_email":"muhammad.f.amith@uth.tmc.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/OCHV","citations":[],"identifier":1020,"description":"A SKOS-encoded implementation of the \"Open Access, Collaborative Consumer Health Vocabulary Initiative\" by the University of Utah (consumerhealthvocab.org and layhealthinformatics.com)","abbreviation":"OCHV","support_links":[{"url":"cui.tao@uth.tmc.edu","name":"Cui Tao","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCHV","name":"OCHV","portal":"BioPortal"}]},"legacy_ids":["bsg-000952","bsg-s000952"],"name":"FAIRsharing record for: Ontology of Consumer Health Vocabulary","abbreviation":"OCHV","url":"https://fairsharing.org/10.25504/FAIRsharing.tz6hz6","doi":"10.25504/FAIRsharing.tz6hz6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A SKOS-encoded implementation of the \"Open Access, Collaborative Consumer Health Vocabulary Initiative\" by the University of Utah (consumerhealthvocab.org and layhealthinformatics.com)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"996","type":"fairsharing_records","attributes":{"created_at":"2021-07-08T13:42:43.000Z","updated_at":"2022-02-08T10:37:58.459Z","metadata":{"doi":"10.25504/FAIRsharing.0417cf","name":"Open Archives Initiative Protocol for Metadata Harvesting Schema","status":"ready","contacts":[{"contact_name":"Carl Lagoze","contact_email":"lagoze@cs.cornell.edu"}],"homepage":"http://www.openarchives.org/OAI/openarchivesprotocol.html#OAIPMHschema","identifier":996,"description":"The Open Archives Initiative Protocol for Metadata Harvesting Schema (OAI-PMH Schema) provides a formal structure for validating responses as part of the OAI-PMH Protocol. The OAI-PMH Protocol is a low-barrier mechanism for repository interoperability. Data Providers are repositories that expose structured metadata via OAI-PMH. Service Providers then make OAI-PMH service requests to harvest that metadata. OAI-PMH is a set of six verbs or services that are invoked within HTTP.","abbreviation":"OAI-PMH Schema","support_links":[{"url":"https://groups.google.com/g/oai-pmh","name":"OAI-PMH Google Group","type":"Forum"},{"url":"http://www.openarchives.org/OAI/2.0/guidelines.htm","name":"OAI-PMH Guidelines","type":"Help documentation"},{"url":"http://www.openarchives.org/pmh/","name":"General Information","type":"Help documentation"}],"associated_tools":[{"url":"http://www.openarchives.org/pmh/tools/","name":"Tool List"}]},"legacy_ids":["bsg-001621","bsg-s001621"],"name":"FAIRsharing record for: Open Archives Initiative Protocol for Metadata Harvesting Schema","abbreviation":"OAI-PMH Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.0417cf","doi":"10.25504/FAIRsharing.0417cf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Archives Initiative Protocol for Metadata Harvesting Schema (OAI-PMH Schema) provides a formal structure for validating responses as part of the OAI-PMH Protocol. The OAI-PMH Protocol is a low-barrier mechanism for repository interoperability. Data Providers are repositories that expose structured metadata via OAI-PMH. Service Providers then make OAI-PMH service requests to harvest that metadata. OAI-PMH is a set of six verbs or services that are invoked within HTTP.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18238}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Integration","Computer Science"],"domains":["Data retrieval"],"taxonomies":["Not applicable"],"user_defined_tags":["general anesthsia"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":361,"relation":"undefined"}],"grants":[{"id":6569,"fairsharing_record_id":996,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:05.921Z","updated_at":"2021-09-30T09:28:05.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6568,"fairsharing_record_id":996,"organisation_id":2253,"relation":"maintains","created_at":"2021-09-30T09:28:05.880Z","updated_at":"2021-09-30T09:28:05.880Z","grant_id":null,"is_lead":true,"saved_state":{"id":2253,"name":"Open Archives Initiative (OAI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6570,"fairsharing_record_id":996,"organisation_id":542,"relation":"funds","created_at":"2021-09-30T09:28:05.959Z","updated_at":"2021-09-30T09:28:05.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":542,"name":"Coalition for Networked Information","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6571,"fairsharing_record_id":996,"organisation_id":760,"relation":"funds","created_at":"2021-09-30T09:28:05.992Z","updated_at":"2021-09-30T09:28:05.992Z","grant_id":null,"is_lead":false,"saved_state":{"id":760,"name":"Digital Library Federation","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"997","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-03-11T10:29:49.698Z","metadata":{"doi":"10.25504/FAIRsharing.kx4bgf","name":"NGS ontology","status":"deprecated","contacts":[{"contact_name":"mickael silva","contact_email":"mickaelsilva@medicina.ulisboa.pt"}],"homepage":"https://github.com/mickaelsilva/NGSOnto","citations":[],"identifier":997,"description":"The NGSOnto ontology aims at capturing the workflow of all the processes involved in a Next Generation Sequencing, in order to ensure the reproducibility of the entire process, through the use of a controled and specific vocabulary.","abbreviation":"NGSONTO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NGSONTO","name":"NGSONTO","portal":"BioPortal"}],"deprecation_date":"2022-03-11","deprecation_reason":"This resource has not been updated in BioPortal since its initial submission, and and the GitHub homepage has also not been updated recently. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000838","bsg-s000838"],"name":"FAIRsharing record for: NGS ontology","abbreviation":"NGSONTO","url":"https://fairsharing.org/10.25504/FAIRsharing.kx4bgf","doi":"10.25504/FAIRsharing.kx4bgf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NGSOnto ontology aims at capturing the workflow of all the processes involved in a Next Generation Sequencing, in order to ensure the reproducibility of the entire process, through the use of a controled and specific vocabulary.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Next generation DNA sequencing"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Portugal"],"publications":[],"licence_links":[],"grants":[{"id":8983,"fairsharing_record_id":997,"organisation_id":3434,"relation":"maintains","created_at":"2022-03-11T10:28:10.051Z","updated_at":"2022-03-11T10:28:10.051Z","grant_id":null,"is_lead":true,"saved_state":{"id":3434,"name":"University of Lisbon","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"998","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.161Z","metadata":{"doi":"10.25504/FAIRsharing.fr3ng0","name":"Edinburgh Human Developmental Anatomy Abstract","status":"deprecated","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://obofoundry.org/ontology/ehdaa.html","identifier":998,"description":"A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). This abstract version of the human developmental anatomy ontology compresses all the tissues present over Carnegie stages 1-20 into a single hierarchy. The heart, for example, is present from Carnegie Stage 9 onwards and is thus represented by 12 EHDA IDs (one for each stage). In the abstract mouse, it has a single ID so that the abstract term given as just heart really means heart (CS 9-20). This ontology was made computationally and later deemed \"incoherent\" by the authors because the stage-dependent hierarchical structures were not integrated.","abbreviation":"EHDAA","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EHDAA","name":"EHDAA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ehdaa.html","name":"ehdaa","portal":"OBO Foundry"}],"deprecation_date":"2016-04-20","deprecation_reason":"This resource is deprecated. Please see the following record for the next version of the ontology (https://biosharing.org/bsg-002675) instead."},"legacy_ids":["bsg-000033","bsg-s000033"],"name":"FAIRsharing record for: Edinburgh Human Developmental Anatomy Abstract","abbreviation":"EHDAA","url":"https://fairsharing.org/10.25504/FAIRsharing.fr3ng0","doi":"10.25504/FAIRsharing.fr3ng0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). This abstract version of the human developmental anatomy ontology compresses all the tissues present over Carnegie stages 1-20 into a single hierarchy. The heart, for example, is present from Carnegie Stage 9 onwards and is thus represented by 12 EHDA IDs (one for each stage). In the abstract mouse, it has a single ID so that the abstract term given as just heart really means heart (CS 9-20). This ontology was made computationally and later deemed \"incoherent\" by the authors because the stage-dependent hierarchical structures were not integrated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science","Biomedical Science"],"domains":["Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1007,"pubmed_id":14620375,"title":"An ontology of human developmental anatomy.","year":2003,"url":"http://doi.org/10.1046/j.1469-7580.2003.00224.x","authors":"Hunter A,Kaufman MH,McKay A,Baldock R,Simmen MW,Bard JB","journal":"J Anat","doi":"10.1046/j.1469-7580.2003.00224.x","created_at":"2021-09-30T08:24:11.455Z","updated_at":"2021-09-30T08:24:11.455Z"},{"id":1052,"pubmed_id":22973865,"title":"A new ontology (structured hierarchy) of human developmental anatomy for the first 7 weeks (Carnegie stages 1-20).","year":2012,"url":"http://doi.org/10.1111/j.1469-7580.2012.01566.x","authors":"Bard J","journal":"J Anat","doi":"10.1111/j.1469-7580.2012.01566.x","created_at":"2021-09-30T08:24:16.472Z","updated_at":"2021-09-30T08:24:16.472Z"}],"licence_links":[],"grants":[{"id":6572,"fairsharing_record_id":998,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:28:06.030Z","updated_at":"2021-09-30T09:28:06.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1021","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:35:59.510Z","metadata":{"doi":"10.25504/FAIRsharing.xm7tkj","name":"Nuclear Magnetic Resonance Controlled Vocabulary","status":"ready","contacts":[],"homepage":"http://nmrml.org/cv/","citations":[],"identifier":1021,"description":"nmrCV is a MSI-sanctioned NMR controlled vocabulary, created within the COSMOS EU project, to support the nmrML data standard for nuclear magnetic resonance data in metabolomics with standardized meaningful data descriptors. This CV is the successor of the (now deprecated) 'NMR-instrument specific component of metabolomics investigations' CV of 2006. This standard is currently financed via the PhenoMeNal EU project. It is a simple taxonomy build according to the same design principles as its role model artefact, the Mass Spec CV of PSI.","abbreviation":"nmrCV","support_links":[{"url":"info@nmrml.org","type":"Support email"},{"url":"https://groups.google.com/forum/?hl=en#!forum/nmrml/join","type":"Forum"},{"url":"https://github.com/nmrML/nmrML/issues","type":"Github"},{"url":"http://nmrml.org/cv/","type":"Help documentation"},{"url":"https://github.com/nmrML/nmrML/tree/master/xml-schemata","type":"Github"}],"year_creation":2015,"associated_tools":[{"url":"http://nmrml.org/tools/","name":"Parsers and visualisers"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NMR","name":"NMR","portal":"BioPortal"}]},"legacy_ids":["bsg-000069","bsg-s000069"],"name":"FAIRsharing record for: Nuclear Magnetic Resonance Controlled Vocabulary","abbreviation":"nmrCV","url":"https://fairsharing.org/10.25504/FAIRsharing.xm7tkj","doi":"10.25504/FAIRsharing.xm7tkj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: nmrCV is a MSI-sanctioned NMR controlled vocabulary, created within the COSMOS EU project, to support the nmrML data standard for nuclear magnetic resonance data in metabolomics with standardized meaningful data descriptors. This CV is the successor of the (now deprecated) 'NMR-instrument specific component of metabolomics investigations' CV of 2006. This standard is currently financed via the PhenoMeNal EU project. It is a simple taxonomy build according to the same design principles as its role model artefact, the Mass Spec CV of PSI.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10909},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11018},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11706}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry","Metabolomics"],"domains":["Molecular structure","Chemical structure","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Chemical screen","Assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France","United Kingdom","European Union"],"publications":[{"id":1087,"pubmed_id":17687353,"title":"The metabolomics standards initiative.","year":2007,"url":"http://doi.org/10.1038/nbt0807-846b","authors":"MSI Board Members, Sansone SA, Fan T, Goodacre R, Griffin JL, Hardy NW, Kaddurah-Daouk R, Kristal BS, Lindon J, Mendes P, Morrison N, Nikolau B, Robertson D, Sumner LW, Taylor C, van der Werf M, van Ommen B, Fiehn O.","journal":"Nat. Biotechnol.","doi":"10.1038/nbt0807-846b","created_at":"2021-09-30T08:24:20.407Z","updated_at":"2021-09-30T08:24:20.407Z"},{"id":1991,"pubmed_id":29035042,"title":"nmrML: A Community Supported Open Data Standard for the Description, Storage, and Exchange of NMR Data.","year":2017,"url":"http://doi.org/10.1021/acs.analchem.7b02795","authors":"Schober D1, Jacob D2, Wilson M3, Cruz JA3, Marcu A3, Grant JR3, Moing A2, Deborde C2, de Figueiredo LF4, Haug K4, Rocca-Serra P5, Easton J6, Ebbels TMD7, Hao J7, Ludwig C8, Günther UL9, Rosato A10, Klein MS11, Lewis IA11, Luchinat C10, Jones AR12, Grauslys A12, Larralde M13, Yokochi M14, Kobayashi N14, Porzel A15, Griffin JL16, Viant MR17, Wishart DS3, Steinbeck C4, Salek RM4, Neumann S1","journal":"Anal. Chem.","doi":"10.1021/acs.analchem.7b02795","created_at":"2021-09-30T08:26:04.124Z","updated_at":"2021-09-30T08:26:04.124Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1367,"relation":"undefined"}],"grants":[{"id":6624,"fairsharing_record_id":1021,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:28:07.969Z","updated_at":"2021-09-30T09:30:58.972Z","grant_id":963,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"654241","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6626,"fairsharing_record_id":1021,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:08.023Z","updated_at":"2021-09-30T09:28:08.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6623,"fairsharing_record_id":1021,"organisation_id":917,"relation":"funds","created_at":"2021-09-30T09:28:07.937Z","updated_at":"2021-09-30T09:31:45.990Z","grant_id":1317,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","grant":"EC312941","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":10393,"fairsharing_record_id":1021,"organisation_id":2799,"relation":"maintains","created_at":"2023-03-13T11:11:43.556Z","updated_at":"2023-03-13T11:11:43.556Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1022","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-08T07:26:03.891Z","metadata":{"doi":"10.25504/FAIRsharing.ad3137","name":"Medical Dictionary for Regulatory Activities Terminology","status":"ready","contacts":[{"contact_email":"mssohelp@meddra.org"}],"homepage":"http://www.meddra.org/","identifier":1022,"description":"MedDRA is a multilingual terminology allowing most users to operate in their native languages. MedDRA can be used to analyse individual medical events (e.g., “Influenza”) or issues involving a system, organ or etiology (e.g., infections) using its hierarchical structure. MedDRA can be used for signal detection and monitoring of clinical syndromes whose symptoms encompass numerous systems or organs using its multi-axial hierarchy or through the special feature of Standardised MedDRA Queries. The ability to communicate adverse event data is another strength of MedDRA and has lead to MedDRA being an integral part of the ICH e-submission standards: eCTD (ICH M8) and ICSRs (ICH E2B).","abbreviation":"MedDRA","support_links":[{"url":"https://www.meddra.org/news-and-events/news","name":"News","type":"Blog/News"},{"url":"http://www.meddra.org/contact","type":"Contact form"},{"url":"http://www.meddra.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.meddra.org/how-to-use/support-documentation","type":"Help documentation"},{"url":"http://www.meddra.org/how-to-use/basics/hierarchy","type":"Help documentation"},{"url":"https://www.meddra.org/rss","name":"RSS","type":"Blog/News"},{"url":"http://www.meddra.org/training/offerings","type":"Training documentation"}],"year_creation":1993,"associated_tools":[{"url":"http://www.meddra.org/how-to-use/tools/smqs","name":"Standardised MedDRA Queries"},{"url":"https://tools.meddra.org/mvat/","name":"MedDRA Version Analysis Tool"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEDDRA","name":"MEDDRA","portal":"BioPortal"}]},"legacy_ids":["bsg-002647","bsg-s002647"],"name":"FAIRsharing record for: Medical Dictionary for Regulatory Activities Terminology","abbreviation":"MedDRA","url":"https://fairsharing.org/10.25504/FAIRsharing.ad3137","doi":"10.25504/FAIRsharing.ad3137","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MedDRA is a multilingual terminology allowing most users to operate in their native languages. MedDRA can be used to analyse individual medical events (e.g., “Influenza”) or issues involving a system, organ or etiology (e.g., infections) using its hierarchical structure. MedDRA can be used for signal detection and monitoring of clinical syndromes whose symptoms encompass numerous systems or organs using its multi-axial hierarchy or through the special feature of Standardised MedDRA Queries. The ability to communicate adverse event data is another strength of MedDRA and has lead to MedDRA being an integral part of the ICH e-submission standards: eCTD (ICH M8) and ICSRs (ICH E2B).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17389},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17691},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11280},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12023},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12458},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16977}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1053,"pubmed_id":10082069,"title":"The medical dictionary for regulatory activities (MedDRA).","year":1999,"url":"http://doi.org/10.2165/00002018-199920020-00002","authors":"Brown EG,Wood L,Wood S","journal":"Drug Saf","doi":"10.2165/00002018-199920020-00002","created_at":"2021-09-30T08:24:16.580Z","updated_at":"2021-09-30T08:24:16.580Z"},{"id":1249,"pubmed_id":10961570,"title":"The use of a medical dictionary for regulatory activities terminology (MedDRA) in prescription-event monitoring in Japan (J-PEM).","year":2000,"url":"http://doi.org/10.1016/s1386-5056(00)00062-9","authors":"Yokotsuka M,Aoyama M,Kubota K","journal":"Int J Med Inform","doi":"10.1016/s1386-5056(00)00062-9","created_at":"2021-09-30T08:24:39.316Z","updated_at":"2021-09-30T08:24:39.316Z"}],"licence_links":[{"licence_name":"MedDRA Special Licence","licence_id":502,"licence_url":"http://www.meddra.org/subscription/special-licences","link_id":1510,"relation":"undefined"}],"grants":[{"id":6627,"fairsharing_record_id":1022,"organisation_id":1811,"relation":"maintains","created_at":"2021-09-30T09:28:08.066Z","updated_at":"2021-09-30T09:28:08.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":1811,"name":"Medical Dictionary for Regulatory Activities (MedDRA) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6628,"fairsharing_record_id":1022,"organisation_id":2313,"relation":"maintains","created_at":"2021-09-30T09:28:08.108Z","updated_at":"2021-09-30T09:28:08.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1004","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:00.491Z","metadata":{"doi":"10.25504/FAIRsharing.j9y503","name":"Cell Ontology","status":"ready","contacts":[{"contact_name":"Alexander Diehl","contact_email":"addiehl@buffalo.edu","contact_orcid":"0000-0001-9990-8331"}],"homepage":"https://github.com/obophenotype/cell-ontology","citations":[{"doi":"10.1186/s13326-016-0088-7","pubmed_id":27377652,"publication_id":2079}],"identifier":1004,"description":"The Cell Ontology (CL) is a candidate OBO Foundry ontology for the representation of cell types. First described in 2005, the CL integrates cell types from the prokaryotic, fungal, and eukaryotic organisms. As a core component of the OBO Foundry, the CL merges information contained in species-specific anatomical ontologies as well as referencing other OBO Foundry ontologies such as the Protein Ontology (PR) for uniquely expressed biomarkers and the Gene Ontology (GO) for the biological processes a cell type participates in. The CL is under continuous revision to expand representation of cell types and to better integrate with other biomedical ontologies.","abbreviation":"CL","support_links":[{"url":"https://github.com/obophenotype/cell-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/obophenotype/cell-ontology/blob/master/src/ontology/README.txt","name":"Project README","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CL","name":"CL","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cl.html","name":"cl","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000009","bsg-s000009"],"name":"FAIRsharing record for: Cell Ontology","abbreviation":"CL","url":"https://fairsharing.org/10.25504/FAIRsharing.j9y503","doi":"10.25504/FAIRsharing.j9y503","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Ontology (CL) is a candidate OBO Foundry ontology for the representation of cell types. First described in 2005, the CL integrates cell types from the prokaryotic, fungal, and eukaryotic organisms. As a core component of the OBO Foundry, the CL merges information contained in species-specific anatomical ontologies as well as referencing other OBO Foundry ontologies such as the Protein Ontology (PR) for uniquely expressed biomarkers and the Gene Ontology (GO) for the biological processes a cell type participates in. The CL is under continuous revision to expand representation of cell types and to better integrate with other biomedical ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10865},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11260},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11813},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11920},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12196},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16928}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Cell Biology"],"domains":["Annotation","Cell","Morphology"],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1011,"pubmed_id":21208450,"title":"Logical development of the cell ontology.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-6","authors":"Meehan TF,Masci AM,Abdulla A,Cowell LG,Blake JA,Mungall CJ,Diehl AD","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-6","created_at":"2021-09-30T08:24:11.948Z","updated_at":"2021-09-30T08:24:11.948Z"},{"id":2079,"pubmed_id":27377652,"title":"The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0088-7","authors":"Diehl AD,Meehan TF,Bradford YM,Brush MH,Dahdul WM,Dougall DS,He Y,Osumi-Sutherland D,Ruttenberg A,Sarntivijai S,Van Slyke CE,Vasilevsky NA,Haendel MA,Blake JA,Mungall CJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0088-7","created_at":"2021-09-30T08:26:14.366Z","updated_at":"2021-09-30T08:26:14.366Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1758,"relation":"undefined"}],"grants":[{"id":6583,"fairsharing_record_id":1004,"organisation_id":399,"relation":"maintains","created_at":"2021-09-30T09:28:06.455Z","updated_at":"2021-09-30T09:28:06.455Z","grant_id":null,"is_lead":true,"saved_state":{"id":399,"name":"Cell Ontology (CL) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6584,"fairsharing_record_id":1004,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:28:06.493Z","updated_at":"2021-09-30T09:30:35.230Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1011","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T20:44:28.000Z","updated_at":"2022-02-08T10:49:04.745Z","metadata":{"doi":"10.25504/FAIRsharing.17fbae","name":"Open Language Archives Community Metadata","status":"ready","contacts":[{"contact_name":"Gary Simons","contact_email":"gary_simons@sil.org"}],"homepage":"http://www.language-archives.org/OLAC/metadata.html","identifier":1011,"description":"This document defines the format used by the Open Language Archives Community (OLAC) for the interchange of metadata within the framework of the Open Archives Initiative (OAI). The metadata set is based on (and is an application profile of) the complete set of Dublin Core metadata terms (DCMT), but the format allows for the use of extensions to express community-specific qualifiers.","abbreviation":"OLAC Metadata","year_creation":2006},"legacy_ids":["bsg-001256","bsg-s001256"],"name":"FAIRsharing record for: Open Language Archives Community Metadata","abbreviation":"OLAC Metadata","url":"https://fairsharing.org/10.25504/FAIRsharing.17fbae","doi":"10.25504/FAIRsharing.17fbae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document defines the format used by the Open Language Archives Community (OLAC) for the interchange of metadata within the framework of the Open Archives Initiative (OAI). The metadata set is based on (and is an application profile of) the complete set of Dublin Core metadata terms (DCMT), but the format allows for the use of extensions to express community-specific qualifiers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Australia","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 2.5 Generic (CC BY-SA 2.5)","licence_id":190,"licence_url":"https://creativecommons.org/licenses/by-sa/2.5/","link_id":1195,"relation":"undefined"}],"grants":[{"id":6592,"fairsharing_record_id":1011,"organisation_id":2259,"relation":"maintains","created_at":"2021-09-30T09:28:06.775Z","updated_at":"2021-09-30T09:28:06.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":2259,"name":"Open Language Archive Community (OLAC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6595,"fairsharing_record_id":1011,"organisation_id":3090,"relation":"maintains","created_at":"2021-09-30T09:28:06.888Z","updated_at":"2021-09-30T09:28:06.888Z","grant_id":null,"is_lead":true,"saved_state":{"id":3090,"name":"University of Melbourne","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6593,"fairsharing_record_id":1011,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:28:06.804Z","updated_at":"2021-09-30T09:28:06.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6594,"fairsharing_record_id":1011,"organisation_id":2568,"relation":"maintains","created_at":"2021-09-30T09:28:06.847Z","updated_at":"2021-09-30T09:28:06.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":2568,"name":"SIL International and Graduate Institute of Applied Linguistics","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1039","type":"fairsharing_records","attributes":{"created_at":"2018-01-03T11:02:43.000Z","updated_at":"2021-11-24T13:18:09.815Z","metadata":{"doi":"10.25504/FAIRsharing.hn155r","name":"Multi-Crop Passport Descriptors","status":"ready","contacts":[{"contact_name":"Stefano Diulgheroff","contact_email":"Stefano.Diulgheroff@fao.org"}],"homepage":"https://www.bioversityinternational.org/e-library/publications/detail/faoipgri-multi-crop-passport-descriptors-mcpd/","identifier":1039,"description":"The List of Multi-Crop Passport Descriptors (MCPD) is a reference tool developed jointly by IPGRI and FAO to provide international standards to facilitate germplasm passport information exchange across crops. These descriptors aim to be compatible with IPGRI crop descriptor lists and with the descriptors used for the FAO World Information and Early Warning System (WIEWS) on plant genetic resources (PGR). This revised version (December 2001) of the 1997 MCPD List, provides a brief explanation of content, coding scheme and suggested fieldnames for each descriptor to assist in the computerized exchange of this type of data.","abbreviation":"MCPD","year_creation":2001},"legacy_ids":["bsg-001094","bsg-s001094"],"name":"FAIRsharing record for: Multi-Crop Passport Descriptors","abbreviation":"MCPD","url":"https://fairsharing.org/10.25504/FAIRsharing.hn155r","doi":"10.25504/FAIRsharing.hn155r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The List of Multi-Crop Passport Descriptors (MCPD) is a reference tool developed jointly by IPGRI and FAO to provide international standards to facilitate germplasm passport information exchange across crops. These descriptors aim to be compatible with IPGRI crop descriptor lists and with the descriptors used for the FAO World Information and Early Warning System (WIEWS) on plant genetic resources (PGR). This revised version (December 2001) of the 1997 MCPD List, provides a brief explanation of content, coding scheme and suggested fieldnames for each descriptor to assist in the computerized exchange of this type of data.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11869},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16717}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Agriculture","Life Science"],"domains":["Germplasm"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Italy"],"publications":[],"licence_links":[],"grants":[{"id":6656,"fairsharing_record_id":1039,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:09.194Z","updated_at":"2021-09-30T09:28:09.194Z","grant_id":null,"is_lead":false,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6657,"fairsharing_record_id":1039,"organisation_id":1509,"relation":"maintains","created_at":"2021-09-30T09:28:09.218Z","updated_at":"2021-09-30T09:28:09.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":1509,"name":"International Plant Genetic Resources Institute (IPGRI), Rome, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1040","type":"fairsharing_records","attributes":{"created_at":"2015-10-06T15:08:28.000Z","updated_at":"2021-11-24T13:16:25.888Z","metadata":{"doi":"10.25504/FAIRsharing.xfz72j","name":"Economic Botany Data Collection Standard","status":"ready","contacts":[{"contact_email":"tdwguses@kew.org"}],"homepage":"https://github.com/tdwg/prior-standards/tree/master/economic-botany-data-collection-standard","identifier":1040,"description":"This standard provides a system whereby uses of plants (in their cultural context) can be described, using standardised descriptors and terms, and attached to taxonomic data sets. It resulted from discussions at the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) between 1989 and 1992. Users and potential users of the standard include: economic botanists and ethnobotanists whose purpose is to record all known information about the uses of a taxon; educationalists, taxonomists, biochemists, anatomists etc. who wish to record plant use, often at a broad level; economic botany collection curators who need to describe accurately the uses and values of specimens in their collections; bibliographers who need to describe plant uses referred to in publications and to apply keywords consistently for ease of data retrieval. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":"EBDCS","support_links":[{"url":"https://github.com/tdwg/prior-standards/tree/master/economic-botany-data-collection-standard","type":"Github"}],"year_creation":1995},"legacy_ids":["bsg-000624","bsg-s000624"],"name":"FAIRsharing record for: Economic Botany Data Collection Standard","abbreviation":"EBDCS","url":"https://fairsharing.org/10.25504/FAIRsharing.xfz72j","doi":"10.25504/FAIRsharing.xfz72j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard provides a system whereby uses of plants (in their cultural context) can be described, using standardised descriptors and terms, and attached to taxonomic data sets. It resulted from discussions at the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) between 1989 and 1992. Users and potential users of the standard include: economic botanists and ethnobotanists whose purpose is to record all known information about the uses of a taxon; educationalists, taxonomists, biochemists, anatomists etc. who wish to record plant use, often at a broad level; economic botany collection curators who need to describe accurately the uses and values of specimens in their collections; bibliographers who need to describe plant uses referred to in publications and to apply keywords consistently for ease of data retrieval. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12276}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany","Biodiversity","Life Science"],"domains":[],"taxonomies":["Embryophyta"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1264,"pubmed_id":24971798,"title":"New categories for traditional medicine in the Economic Botany Data Collection Standard.","year":2014,"url":"http://doi.org/10.1016/j.jep.2014.06.047","authors":"Gruca M,Camara-Leret R,Macia MJ,Balslev H","journal":"J Ethnopharmacol","doi":"10.1016/j.jep.2014.06.047","created_at":"2021-09-30T08:24:41.016Z","updated_at":"2021-09-30T08:24:41.016Z"}],"licence_links":[],"grants":[{"id":6658,"fairsharing_record_id":1040,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:09.243Z","updated_at":"2021-09-30T09:28:09.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1041","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2023-11-17T09:47:08.299Z","metadata":{"doi":"10.25504/FAIRsharing.rbp5wp","name":"IBP Crop Research Ontology","status":"deprecated","contacts":[{"contact_name":"Rosemary Shrestha","contact_email":"r.shrestha2@cgiar.org","contact_orcid":"0000-0002-9399-8003"}],"homepage":"https://cropontology.org/term/CO_715:ROOT","citations":[],"identifier":1041,"description":"The IBP Crop Research Ontology describes experimental design, environmental conditions and methods associated with the crop study/experiment/trait and their evaluation. It has been adapted from the database management system (DMS) and germplasm management system (GMS) of the International Crop Information System (ICIS) model. This ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms.","abbreviation":"CO_715","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001099","bsg-s001099"],"name":"FAIRsharing record for: IBP Crop Research Ontology","abbreviation":"CO_715","url":"https://fairsharing.org/10.25504/FAIRsharing.rbp5wp","doi":"10.25504/FAIRsharing.rbp5wp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IBP Crop Research Ontology describes experimental design, environmental conditions and methods associated with the crop study/experiment/trait and their evaluation. It has been adapted from the database management system (DMS) and germplasm management system (GMS) of the International Crop Information System (ICIS) model. This ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Study design"],"taxonomies":["Plantae"],"user_defined_tags":["Method descriptions","Species-environment interaction"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1584,"relation":"undefined"}],"grants":[{"id":6659,"fairsharing_record_id":1041,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:28:09.269Z","updated_at":"2021-09-30T09:28:09.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6660,"fairsharing_record_id":1041,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:28:09.295Z","updated_at":"2021-09-30T09:28:09.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6661,"fairsharing_record_id":1041,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:09.319Z","updated_at":"2021-09-30T09:28:09.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1042","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:41.857Z","metadata":{"doi":"10.25504/FAIRsharing.4zegak","name":"Role Ontology","status":"in_development","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://sourceforge.net/projects/roleo/","identifier":1042,"description":"The Role Ontology (RoleO) is a ontology in the domain of role classification. RoleO aims to standardize role classification and support computer-assisted reasoning. RoleO is a community-based ontology, and its development follows the OBO Foundry principles.","abbreviation":"RoleO","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ROLEO","name":"ROLEO","portal":"BioPortal"}]},"legacy_ids":["bsg-002692","bsg-s002692"],"name":"FAIRsharing record for: Role Ontology","abbreviation":"RoleO","url":"https://fairsharing.org/10.25504/FAIRsharing.4zegak","doi":"10.25504/FAIRsharing.4zegak","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Role Ontology (RoleO) is a ontology in the domain of role classification. RoleO aims to standardize role classification and support computer-assisted reasoning. RoleO is a community-based ontology, and its development follows the OBO Foundry principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6662,"fairsharing_record_id":1042,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:09.344Z","updated_at":"2021-09-30T09:28:09.344Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1043","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T08:50:51.000Z","updated_at":"2022-12-13T09:38:12.941Z","metadata":{"doi":"10.25504/FAIRsharing.vM7i3k","name":"IVOA Single-Sign-On Profile: Authentication Mechanisms","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/SSO/index.html","citations":[{"publication_id":2950}],"identifier":1043,"description":"Single-Sign-On Profile: Authentication Mechanisms is a guideline describing approved client-server authentication mechanisms for the IVOA single-sign-on profile. These mechanisms include: No Authentication; HTTP Basic Authentication; TLS with passwords; TLS with client certificates; Cookies; Open Authentication; Security Assertion Markup Language; OpenID. Normative rules are given for the implementation of these mechanisms, mainly by reference to pre-existing standards. The Authorization mechanisms are out of the scope of this document.","abbreviation":"SSO - Authentication","support_links":[{"url":"http://www.ivoa.net/documents/SSO/20170524/REC-SSOAuthMech-2.0.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SecurityHome","name":"IVOA Security Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001190","bsg-s001190"],"name":"FAIRsharing record for: IVOA Single-Sign-On Profile: Authentication Mechanisms","abbreviation":"SSO - Authentication","url":"https://fairsharing.org/10.25504/FAIRsharing.vM7i3k","doi":"10.25504/FAIRsharing.vM7i3k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Single-Sign-On Profile: Authentication Mechanisms is a guideline describing approved client-server authentication mechanisms for the IVOA single-sign-on profile. These mechanisms include: No Authentication; HTTP Basic Authentication; TLS with passwords; TLS with client certificates; Cookies; Open Authentication; Security Assertion Markup Language; OpenID. Normative rules are given for the implementation of these mechanisms, mainly by reference to pre-existing standards. The Authorization mechanisms are out of the scope of this document.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11493}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2950,"pubmed_id":null,"title":"SSO - Single-Sign-On Profile: Authentication Mechanisms Version 2.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0524T","authors":"Taffoni, Giuliano; Schaaf, André; Rixon, Guy; Major, Brian","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.583Z","updated_at":"2021-09-30T08:28:03.583Z"}],"licence_links":[],"grants":[{"id":6663,"fairsharing_record_id":1043,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:09.375Z","updated_at":"2021-09-30T09:28:09.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6664,"fairsharing_record_id":1043,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:09.414Z","updated_at":"2021-09-30T09:28:09.414Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1044","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.995Z","metadata":{"doi":"10.25504/FAIRsharing.abxd9x","name":"Teleost Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Wasila Dahdul","contact_email":"wasila.dahdul@usd.edu","contact_orcid":"0000-0003-3162-7490"}],"homepage":"http://purl.bioontology.org/ontology/TAO","identifier":1044,"description":"TAO is a multi-species ontology for teleost fishes that was initialized with terms from the Zebrafish Anatomical Ontology (ZFA). The development of the TAO focused on the skeletal system because it varies significantly across fishes, is well-preserved in fossil specimens, and it is often the focus of morphologically-based evolutionary studies in ichthyology. Note that TAO is a deprecated ontology and has been superceded by Uberon.","abbreviation":"TAO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TAO","name":"TAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tao.html","name":"tao","portal":"OBO Foundry"}],"deprecation_date":"2016-03-31","deprecation_reason":"Superceded by UBERON https://fairsharing.org/FAIRsharing.4c0b6b"},"legacy_ids":["bsg-000030","bsg-s000030"],"name":"FAIRsharing record for: Teleost Anatomy Ontology","abbreviation":"TAO","url":"https://fairsharing.org/10.25504/FAIRsharing.abxd9x","doi":"10.25504/FAIRsharing.abxd9x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TAO is a multi-species ontology for teleost fishes that was initialized with terms from the Zebrafish Anatomical Ontology (ZFA). The development of the TAO focused on the skeletal system because it varies significantly across fishes, is well-preserved in fossil specimens, and it is often the focus of morphologically-based evolutionary studies in ichthyology. Note that TAO is a deprecated ontology and has been superceded by Uberon.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Morphology","Structure"],"taxonomies":["Teleostei"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1651,"pubmed_id":20547776,"title":"The teleost anatomy ontology: anatomical representation for the genomics age.","year":2010,"url":"http://doi.org/10.1093/sysbio/syq013","authors":"Dahdul WM,Lundberg JG,Midford PE,Balhoff JP,Lapp H,Vision TJ,Haendel MA,Westerfield M,Mabee PM","journal":"Syst Biol","doi":"10.1093/sysbio/syq013","created_at":"2021-09-30T08:25:24.971Z","updated_at":"2021-09-30T08:25:24.971Z"}],"licence_links":[],"grants":[{"id":6667,"fairsharing_record_id":1044,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:09.500Z","updated_at":"2021-09-30T09:29:49.562Z","grant_id":422,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF DBI 0641025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6665,"fairsharing_record_id":1044,"organisation_id":2809,"relation":"maintains","created_at":"2021-09-30T09:28:09.446Z","updated_at":"2021-09-30T09:28:09.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6669,"fairsharing_record_id":1044,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:09.575Z","updated_at":"2021-09-30T09:30:29.176Z","grant_id":731,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HG002659","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6666,"fairsharing_record_id":1044,"organisation_id":2809,"relation":"funds","created_at":"2021-09-30T09:28:09.467Z","updated_at":"2021-09-30T09:32:26.637Z","grant_id":1622,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","grant":"NSF EF-0423641","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1045","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:37:54.724Z","metadata":{"doi":"10.25504/FAIRsharing.6xwdvb","name":"International Classification of External Causes of Injury","status":"ready","contacts":[{"contact_name":"Marijke W. de Kleijn - de Vrankrijker","contact_email":"marijke.de.kleijn@rivm.nl"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-of-external-causes-of-injury","identifier":1045,"description":"The International Classification of External Causes of Injury (ICECI) was created to enable the classification of external causes of injuries. It is designed to help researchers and prevention practitioners to describe, measure and monitor the occurrence of injuries and to investigate their circumstances of occurrence using an internally agreed classification. Criteria underlying the classification are: a separate coding axis for each main concept, usefulness for injury prevention, useability in may types of settings (many parts of the world; emergency departments and other places where data are collected), comparability and complementarity with the ICD-10.","abbreviation":"ICECI","support_links":[{"url":"who-fic@rivm.nl","name":"WHO-FIC General Contact","type":"Support email"},{"url":"https://www.whofic.nl/en/family-of-international-classifications/related-classifications/iceci","name":"About ICECI","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ICECI","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1998,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICECI","name":"ICECI","portal":"BioPortal"}]},"legacy_ids":["bsg-002661","bsg-s002661"],"name":"FAIRsharing record for: International Classification of External Causes of Injury","abbreviation":"ICECI","url":"https://fairsharing.org/10.25504/FAIRsharing.6xwdvb","doi":"10.25504/FAIRsharing.6xwdvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of External Causes of Injury (ICECI) was created to enable the classification of external causes of injuries. It is designed to help researchers and prevention practitioners to describe, measure and monitor the occurrence of injuries and to investigate their circumstances of occurrence using an internally agreed classification. Criteria underlying the classification are: a separate coding axis for each main concept, usefulness for injury prevention, useability in may types of settings (many parts of the world; emergency departments and other places where data are collected), comparability and complementarity with the ICD-10.","linked_records":[],"linking_records":[{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16785}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Primary Health Care","Biomedical Science"],"domains":["Electronic health record","Classification","Injury"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6670,"fairsharing_record_id":1045,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:09.618Z","updated_at":"2021-09-30T09:28:09.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6671,"fairsharing_record_id":1045,"organisation_id":3232,"relation":"maintains","created_at":"2021-09-30T09:28:09.658Z","updated_at":"2021-09-30T09:28:09.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":3232,"name":"WHO-FIC Collaborating Centre, Centre for Health Knowledge Integration, National Institute for Public Health and the Environment, Bilthoven, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1058","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T09:09:04.992Z","metadata":{"doi":"10.25504/FAIRsharing.qzrbk","name":"Taxonomic Concept transfer Schema","status":"ready","contacts":[{"contact_name":"Richard L. Pyle","contact_email":"deepreef@bishopmuseum.org"}],"homepage":"http://www.tdwg.org/standards/117/","citations":[],"identifier":1058,"description":"The development of an abstract model for a taxonomic concept, which can capture the various models represented and understood by the various data providers, is central to this project. This model is presented as an XML schema document that is proposed as a standard to allow exchange of data between different data models. It aims to capture data as understood by the data owners without distortion, and facilitate the query of different data resources according to the common schema model. The TCS schema was conceived to allow the representation of taxonomic concepts as defined in published taxonomic classifications, revisions and databases. As such, it specifies the structure for XML documents to be used for the transfer of defined concepts. Valid transfer documents may either explicitly detail the defining components of taxon concepts, transfer GUIDs referring to defined taxon concepts (if and when these are available) or a mixture of the two.","abbreviation":"TCS","support_links":[{"url":"https://github.com/tdwg/tnc","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-000199","bsg-s000199"],"name":"FAIRsharing record for: Taxonomic Concept transfer Schema","abbreviation":"TCS","url":"https://fairsharing.org/10.25504/FAIRsharing.qzrbk","doi":"10.25504/FAIRsharing.qzrbk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The development of an abstract model for a taxonomic concept, which can capture the various models represented and understood by the various data providers, is central to this project. This model is presented as an XML schema document that is proposed as a standard to allow exchange of data between different data models. It aims to capture data as understood by the data owners without distortion, and facilitate the query of different data resources according to the common schema model. The TCS schema was conceived to allow the representation of taxonomic concepts as defined in published taxonomic classifications, revisions and databases. As such, it specifies the structure for XML documents to be used for the transfer of defined concepts. Valid transfer documents may either explicitly detail the defining components of taxon concepts, transfer GUIDs referring to defined taxon concepts (if and when these are available) or a mixture of the two.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12266}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1241,"pubmed_id":26877662,"title":"A common registration-to-publication automated pipeline for nomenclatural acts for higher plants (International Plant Names Index, IPNI), fungi (Index Fungorum, MycoBank) and animals (ZooBank).","year":2016,"url":"http://doi.org/10.3897/zookeys.550.9551","authors":"Penev L,Paton A,Nicolson N,Kirk P,Pyle RL,Whitton R,Georgiev T,Barker C,Hopkins C,Robert V,Biserkov J,Stoev P","journal":"Zookeys","doi":"10.3897/zookeys.550.9551","created_at":"2021-09-30T08:24:38.442Z","updated_at":"2021-09-30T08:24:38.442Z"}],"licence_links":[],"grants":[{"id":6689,"fairsharing_record_id":1058,"organisation_id":2707,"relation":"maintains","created_at":"2021-09-30T09:28:10.317Z","updated_at":"2021-09-30T09:28:10.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":2707,"name":"Taxonomic Names and Concepts interest group (TDWG)","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1059","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T20:37:40.000Z","updated_at":"2023-09-29T11:55:01.296Z","metadata":{"doi":"10.25504/FAIRsharing.82bd49","name":"Language resource management -- Semantic annotation framework (SemAF) -- Part 4: Semantic roles (SemAF-SR)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/56866.html","citations":[],"identifier":1059,"description":"The aim of ISO 24617-4:2014 is to propose a consensual annotation scheme for semantic roles; that is to say, a scheme that indicates the role that a participant plays in an event or state, as described mostly by a verb, and typically providing answers to questions such as \"?who' did ?what' to ?whom'\", and ?when', ?where', ?why', and ?how'. This includes not only the semantic relations between a verb and its arguments but also those relations that are relevant for other predicative elements such as nominalizations, nouns, adjectives, and predicate modifiers; the predicating role of adverbs and the use of coercion fall outside the scope of ISO 24617-4:2014.","abbreviation":"ISO 24617-4:2014","year_creation":2014},"legacy_ids":["bsg-001265","bsg-s001265"],"name":"FAIRsharing record for: Language resource management -- Semantic annotation framework (SemAF) -- Part 4: Semantic roles (SemAF-SR)","abbreviation":"ISO 24617-4:2014","url":"https://fairsharing.org/10.25504/FAIRsharing.82bd49","doi":"10.25504/FAIRsharing.82bd49","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of ISO 24617-4:2014 is to propose a consensual annotation scheme for semantic roles; that is to say, a scheme that indicates the role that a participant plays in an event or state, as described mostly by a verb, and typically providing answers to questions such as \"?who' did ?what' to ?whom'\", and ?when', ?where', ?why', and ?how'. This includes not only the semantic relations between a verb and its arguments but also those relations that are relevant for other predicative elements such as nominalizations, nouns, adjectives, and predicate modifiers; the predicating role of adverbs and the use of coercion fall outside the scope of ISO 24617-4:2014.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":895,"relation":"undefined"}],"grants":[{"id":10937,"fairsharing_record_id":1059,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:47:24.520Z","updated_at":"2023-09-27T14:47:24.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6690,"fairsharing_record_id":1059,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:10.346Z","updated_at":"2021-09-30T09:28:10.346Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1060","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:47.297Z","metadata":{"doi":"10.25504/FAIRsharing.sw9xbj","name":"Expressed Sequence Annotation for Humans","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"evoc@sanbi.ac.za"}],"homepage":"http://www.obofoundry.org/ontology/ev.html","identifier":1060,"description":"Expressed Sequence Annotation for Humans provides structured controlled vocabularies for the annotation of expressed sequences with respect to anatomical system, cell type, developmental stage, experimental technique, microarray platform, pathology, pooling, tissue preparation and treatment. This record is no longer being maintained.","abbreviation":"eVOC","deprecation_date":"2016-03-09","deprecation_reason":"This resource is no longer maintained and has been listed as deprecated by the OBO Foundry (http://obofoundry.org/ontology/ev.html). Please see the FAIRsharing record for the Sequence Ontology (https://biosharing.org/bsg-000046) for a possible alternative."},"legacy_ids":["bsg-000132","bsg-s000132"],"name":"FAIRsharing record for: Expressed Sequence Annotation for Humans","abbreviation":"eVOC","url":"https://fairsharing.org/10.25504/FAIRsharing.sw9xbj","doi":"10.25504/FAIRsharing.sw9xbj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Expressed Sequence Annotation for Humans provides structured controlled vocabularies for the annotation of expressed sequences with respect to anatomical system, cell type, developmental stage, experimental technique, microarray platform, pathology, pooling, tissue preparation and treatment. This record is no longer being maintained.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Life Science"],"domains":["Sequence feature","Transcript"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["South Africa"],"publications":[],"licence_links":[],"grants":[{"id":6691,"fairsharing_record_id":1060,"organisation_id":2597,"relation":"maintains","created_at":"2021-09-30T09:28:10.371Z","updated_at":"2021-09-30T09:28:10.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":2597,"name":"South African National Bioinformatics Institute, University of Western Cape, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1061","type":"fairsharing_records","attributes":{"created_at":"2020-02-26T11:49:41.000Z","updated_at":"2022-07-20T12:52:04.762Z","metadata":{"doi":"10.25504/FAIRsharing.9ed958","name":"ENA Sequence XML Schema","status":"ready","contacts":[{"contact_name":"EBI Helpdesk","contact_email":"support@ebi.ac.uk"}],"homepage":"https://ena-docs.readthedocs.io/en/latest/submit/general-guide/programmatic.html","identifier":1061,"description":"ENA Sequence XML Schema is a standardised XML schema for nucleotide sequences. All assembled and annotated sequences must conform to this schema.","abbreviation":"ENA EMBL XSD","support_links":[{"url":"https://www.ebi.ac.uk/ena/submit/sequence-format","name":"Assembled and Annotated Sequences","type":"Help documentation"}]},"legacy_ids":["bsg-001452","bsg-s001452"],"name":"FAIRsharing record for: ENA Sequence XML Schema","abbreviation":"ENA EMBL XSD","url":"https://fairsharing.org/10.25504/FAIRsharing.9ed958","doi":"10.25504/FAIRsharing.9ed958","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ENA Sequence XML Schema is a standardised XML schema for nucleotide sequences. All assembled and annotated sequences must conform to this schema.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12561}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Genetics"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Nucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2340,"relation":"undefined"}],"grants":[{"id":6693,"fairsharing_record_id":1061,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:10.420Z","updated_at":"2021-09-30T09:28:10.420Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1062","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2021-11-24T13:17:20.923Z","metadata":{"doi":"10.25504/FAIRsharing.cjzx96","name":"Genetic Testing Ontology","status":"deprecated","contacts":[{"contact_name":"Qian Zhu","contact_email":"qianzhu@umbc.edu"}],"homepage":"http://qianzhu-lab.umbc.edu/","identifier":1062,"description":"The Genetic Test Ontology (GTO) was created with the aim of filling the gap between the large volume of available genetic tests and insufficient usage of these genetic tests. The GTO was built on top of a meta-ontology by populating specific genetic testing data. Literature data from SemMedDB has been extracted and integrated into the GTO to provide scientific evidence.","abbreviation":"GTO","year_creation":2015,"deprecation_date":"2021-03-24","deprecation_reason":"This resource is no longer available, either from the project page or from BioPortal."},"legacy_ids":["bsg-000773","bsg-s000773"],"name":"FAIRsharing record for: Genetic Testing Ontology","abbreviation":"GTO","url":"https://fairsharing.org/10.25504/FAIRsharing.cjzx96","doi":"10.25504/FAIRsharing.cjzx96","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genetic Test Ontology (GTO) was created with the aim of filling the gap between the large volume of available genetic tests and insufficient usage of these genetic tests. The GTO was built on top of a meta-ontology by populating specific genetic testing data. Literature data from SemMedDB has been extracted and integrated into the GTO to provide scientific evidence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Human Genetics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2306,"pubmed_id":null,"title":"Scientific Evidence Based Genetic Testing Ontology Development towards Individualized Medicine","year":2015,"url":"http://www.jscimedcentral.com/TranslationalMedicine/translationalmedicine-3-1040.pdf","authors":"Li P, Liu H, Zhu Q","journal":"J Transl Med Epidemiol","doi":null,"created_at":"2021-09-30T08:26:42.869Z","updated_at":"2021-09-30T08:26:42.869Z"}],"licence_links":[],"grants":[{"id":6694,"fairsharing_record_id":1062,"organisation_id":246,"relation":"maintains","created_at":"2021-09-30T09:28:10.448Z","updated_at":"2021-09-30T09:28:10.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":246,"name":"Bioinformatics Lab, University of Maryland, Baltimore County, Baltimore, MD, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1036","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-07T16:03:37.837Z","metadata":{"doi":"10.25504/FAIRsharing.62qk8w","name":"Chemical Entities of Biological Interest","status":"ready","contacts":[{"contact_name":"Venkat","contact_email":"venkat@ebi.ac.uk","contact_orcid":"0000-0002-6850-9888"}],"homepage":"http://www.ebi.ac.uk/chebi/","citations":[{"doi":"10.1093/nar/gkv1031","pubmed_id":26467479,"publication_id":1105}],"identifier":1036,"description":"Chemical Entities of Biological Interest (ChEBI) is a free dictionary that describes 'small’ chemical compounds. These compound includes distinct synthetic or natural atoms, molecules, ions, ion pair, radicals, radical ions, complexes, conformers, etc.. These molecular entities can interact with or affect the processes of living organisms.","abbreviation":"ChEBI","support_links":[{"url":"https://www.ebi.ac.uk/chebi/entityMonthForward.do","name":"Entity of the Month","type":"Blog/News"},{"url":"https://docs.google.com/document/d/1zftGTqpsyRM2eBFQm6krb6ZmxJo6EYr-nGb7TBLYViU/edit","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://docs.google.com/document/d/11G6SmTtQRQYFT7l9h5K0faUHiAaekcLeOweMOOTIpME/edit","name":"Developer Manual","type":"Help documentation"},{"url":"https://docs.google.com/document/d/1_w-DwBdCCOh1gMeeP6yqGzcnkpbHYOa3AGSODe5epcg/edit","name":"User Manual","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/chebi/periodicTableMolecularEntitiesForward.do","name":"ChEBI Periodic Table","type":"Help documentation"},{"url":"https://docs.google.com/document/d/1EZHaOEl-iPZPbqD_GRyIetDoA4U8U2SPr9Qk6RKVRc0/edit","name":"Annotation Manual","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/chebi/statisticsForward.do","name":"Statistics","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/chebi-quick-tour","name":"ChEBI: Quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/chebi-the-online-chemical-dictionary-for-small-molecules","name":"ChEBI: The online chemical dictionary for small molecules","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/course-list?field_course_subject_area_tid%5B%5D=11","name":"ChEBI Training","type":"Training documentation"},{"url":"http://www.ebi.ac.uk/training/online/course-list?field_course_subject_area_tid%5B%5D=11","name":"Train Online: ChEBI","type":"Training documentation"},{"url":"http://www.ebi.ac.uk/training/online/course/chebi-online-chemical-dictionary-small-molecules","name":"Online Course","type":"Training documentation"},{"url":"https://twitter.com/chebit","name":"@chebit","type":"Twitter"}],"year_creation":2006,"associated_tools":[{"url":"https://www.ebi.ac.uk/chebi/tools/binche/","name":"BiNChE 0.2.5"},{"url":"https://www.ebi.ac.uk/chebi/libchebi.do","name":"libChEBI"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEBI","name":"CHEBI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/chebi.html","name":"chebi","portal":"OBO Foundry"},{"url":"https://www.re3data.org/repository/r3d100012626","name":"re3data:r3d100012626","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002088","name":"SciCrunch:RRID:SCR_002088","portal":"SciCrunch"}]},"legacy_ids":["bsg-000039","bsg-s000039"],"name":"FAIRsharing record for: Chemical Entities of Biological Interest","abbreviation":"ChEBI","url":"https://fairsharing.org/10.25504/FAIRsharing.62qk8w","doi":"10.25504/FAIRsharing.62qk8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chemical Entities of Biological Interest (ChEBI) is a free dictionary that describes 'small’ chemical compounds. These compound includes distinct synthetic or natural atoms, molecules, ions, ion pair, radicals, radical ions, complexes, conformers, etc.. These molecular entities can interact with or affect the processes of living organisms.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18252},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10864},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11138},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11312},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11707},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11827},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11919},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12195},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13277},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17989},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16211},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16986}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Chemistry"],"domains":["Molecular structure","Taxonomic classification","Molecular entity","Small molecule","Natural product"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1093,"pubmed_id":19496059,"title":"ChEBI: an open bioinformatics and cheminformatics resource.","year":2009,"url":"http://doi.org/10.1002/0471250953.bi1409s26","authors":"Degtyarenko K,Hastings J,de Matos P,Ennis M","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi1409s26","created_at":"2021-09-30T08:24:21.022Z","updated_at":"2021-09-30T08:24:21.022Z"},{"id":1104,"pubmed_id":17932057,"title":"ChEBI: a database and ontology for chemical entities of biological interest.","year":2007,"url":"http://doi.org/10.1093/nar/gkm791","authors":"Degtyarenko K,de Matos P,Ennis M,Hastings J,Zbinden M,McNaught A,Alcantara R,Darsow M,Guedj M,Ashburner M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm791","created_at":"2021-09-30T08:24:22.322Z","updated_at":"2021-09-30T11:28:58.576Z"},{"id":1105,"pubmed_id":26467479,"title":"ChEBI in 2016: Improved services and an expanding collection of metabolites.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1031","authors":"Hastings J,Owen G,Dekker A,Ennis M,Kale N,Muthukrishnan V,Turner S,Swainston N,Mendes P,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1031","created_at":"2021-09-30T08:24:22.437Z","updated_at":"2021-09-30T11:28:58.676Z"},{"id":1968,"pubmed_id":19854951,"title":"Chemical Entities of Biological Interest: an update.","year":2009,"url":"http://doi.org/10.1093/nar/gkp886","authors":"de Matos P,Alcantara R,Dekker A,Ennis M,Hastings J,Haug K,Spiteri I,Turner S,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp886","created_at":"2021-09-30T08:26:01.504Z","updated_at":"2021-09-30T11:29:24.912Z"},{"id":2207,"pubmed_id":23180789,"title":"The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1146","authors":"Hastings J,de Matos P,Dekker A,Ennis M,Harsha B,Kale N,Muthukrishnan V,Owen G,Turner S,Williams M,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1146","created_at":"2021-09-30T08:26:28.748Z","updated_at":"2021-09-30T11:29:30.886Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":288,"relation":"undefined"}],"grants":[{"id":6651,"fairsharing_record_id":1036,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:08.984Z","updated_at":"2021-09-30T09:28:08.984Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6654,"fairsharing_record_id":1036,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:28:09.141Z","updated_at":"2021-09-30T09:29:34.272Z","grant_id":305,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6652,"fairsharing_record_id":1036,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:09.024Z","updated_at":"2021-09-30T09:30:00.878Z","grant_id":513,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K019783/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8264,"fairsharing_record_id":1036,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:49.531Z","updated_at":"2021-09-30T09:31:49.582Z","grant_id":1344,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022747/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9295,"fairsharing_record_id":1036,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.489Z","updated_at":"2022-04-11T12:07:28.506Z","grant_id":474,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1037","type":"fairsharing_records","attributes":{"created_at":"2017-03-01T13:14:19.000Z","updated_at":"2021-11-24T13:18:44.143Z","metadata":{"doi":"10.25504/FAIRsharing.c12tyk","name":"mzTab","status":"ready","contacts":[{"contact_email":"psidev-pi-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/mztab","identifier":1037,"description":"The aim of the format is to present the results of a proteomics experiment in a computationally accessible overview. The aim is not to provide the detailed evidence for these results, or allow recreating the process which led to the results. Both of these functions are established through links to more detailed representations in other formats, in particular mzIdentML and mzQuantML. mzTab is meant to be a light-weight, tab-delimited file format for proteomics data. The target audience for this format are primarily researchers outside of proteomics. It should be easy to parse and only contain the minimal information required to evaluate the results of a proteomics experiment. One of the goals of this file format is that it, for example, should be possible for a biologist to open such a file in Excel and still be able to \"see\" the data. This format should also become a way to disseminate proteomics results through protocols such as DAS.","abbreviation":"mzTab","support_links":[{"url":"https://github.com/HUPO-PSI/mzTab/wiki","type":"Github"},{"url":"https://github.com/HUPO-PSI/mzTab","type":"Github"}],"year_creation":2012,"associated_tools":[{"url":"https://github.com/PRIDE-Utilities/jmzTab","name":"jmzTab"},{"url":"http://genome.tugraz.at/lda/lda_description.shtml","name":"LipidDataAnalyzer"},{"url":"http://www.openms.de/","name":"OpenMS"},{"url":"http://www.bioconductor.org/packages/2.9/bioc/html/MSnbase.html","name":"MSnBase"},{"url":"http://code.google.com/p/pride-converter-2/","name":"Pride Converter 2"},{"url":"http://www.biochem.mpg.de/5111795/maxquant","name":"MaxQuant"},{"url":"https://github.com/mpc-bioinformatics/pia","name":"PIA"}]},"legacy_ids":["bsg-000693","bsg-s000693"],"name":"FAIRsharing record for: mzTab","abbreviation":"mzTab","url":"https://fairsharing.org/10.25504/FAIRsharing.c12tyk","doi":"10.25504/FAIRsharing.c12tyk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of the format is to present the results of a proteomics experiment in a computationally accessible overview. The aim is not to provide the detailed evidence for these results, or allow recreating the process which led to the results. Both of these functions are established through links to more detailed representations in other formats, in particular mzIdentML and mzQuantML. mzTab is meant to be a light-weight, tab-delimited file format for proteomics data. The target audience for this format are primarily researchers outside of proteomics. It should be easy to parse and only contain the minimal information required to evaluate the results of a proteomics experiment. One of the goals of this file format is that it, for example, should be possible for a biologist to open such a file in Excel and still be able to \"see\" the data. This format should also become a way to disseminate proteomics results through protocols such as DAS.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11449},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12083},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16912}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","China","Germany","Switzerland","United Kingdom","United States"],"publications":[{"id":2006,"pubmed_id":24980485,"title":"The mzTab data exchange format: communicating mass-spectrometry-based proteomics and metabolomics experimental results to a wider audience.","year":2014,"url":"http://doi.org/10.1074/mcp.O113.036681","authors":"Griss J,Jones AR,Sachsenberg T,Walzer M,Gatto L,Hartler J,Thallinger GG,Salek RM,Steinbeck C,Neuhauser N,Cox J,Neumann S,Fan J,Reisinger F,Xu QW,Del Toro N,Perez-Riverol Y,Ghali F,Bandeira N,Xenarios I,Kohlbacher O,Vizcaino JA,Hermjakob H","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O113.036681","created_at":"2021-09-30T08:26:05.932Z","updated_at":"2021-09-30T08:26:05.932Z"}],"licence_links":[],"grants":[{"id":6655,"fairsharing_record_id":1037,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:09.170Z","updated_at":"2021-09-30T09:28:09.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1038","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.922Z","metadata":{"doi":"10.25504/FAIRsharing.t9fvdn","name":"Animal natural history and life history","status":"ready","contacts":[{"contact_name":"Animal Diversity Web technical staff","contact_email":"adw.staff@umich.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1530","identifier":1038,"description":"An ontology for animal life history and natural history characteristics suitable for populations and higher taxonomic entities.","abbreviation":"ADW","support_links":[{"url":"ExploreData@Quaardvark","type":"Support email"}],"year_creation":2004,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ADW","name":"ADW","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/adw.html","name":"adw","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002685","bsg-s002685"],"name":"FAIRsharing record for: Animal natural history and life history","abbreviation":"ADW","url":"https://fairsharing.org/10.25504/FAIRsharing.t9fvdn","doi":"10.25504/FAIRsharing.t9fvdn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for animal life history and natural history characteristics suitable for populations and higher taxonomic entities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1050","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T12:00:22.357Z","metadata":{"doi":"10.25504/FAIRsharing.9zpcgj","name":"Amino Acid Ontology","status":"ready","contacts":[{"contact_name":"Phil Lord","contact_email":"phillip.lord@russet.org.uk"}],"homepage":"https://bioportal.bioontology.org/ontologies/AMINO-ACID","citations":[],"identifier":1050,"description":"Amino Acid Ontology is an ontology of amino acids and their properties. It captures how biochemists talk about amino acids; that is, it is a conceptualisation of amino acids. This ontology smoothens out the way in which amino acids are described as the chemical reality tends to obscure rather than reveal what may be considered important features of amino acids. This ontology serves as a demonstration of a move towards a sort of mass production of axiomatically rich ontologies.","abbreviation":null,"support_links":[{"url":"admin@co-ode.org","name":"General contact","type":"Support email"},{"url":"http://ceur-ws.org/Vol-903/paper-06.html","type":"Help documentation"},{"url":"https://robertdavidstevens.wordpress.com/2012/05/19/an-expedition-in-semantic-publishing/","type":"Help documentation"},{"url":"https://robertdavidstevens.wordpress.com/2010/12/18/an-update-to-the-amino-acids-ontology/","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AMINO-ACID","name":"AMINO-ACID","portal":"BioPortal"}]},"legacy_ids":["bsg-002629","bsg-s002629"],"name":"FAIRsharing record for: Amino Acid Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9zpcgj","doi":"10.25504/FAIRsharing.9zpcgj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Amino Acid Ontology is an ontology of amino acids and their properties. It captures how biochemists talk about amino acids; that is, it is a conceptualisation of amino acids. This ontology smoothens out the way in which amino acids are described as the chemical reality tends to obscure rather than reveal what may be considered important features of amino acids. This ontology serves as a demonstration of a move towards a sort of mass production of axiomatically rich ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":8721,"fairsharing_record_id":1050,"organisation_id":3086,"relation":"maintains","created_at":"2022-01-10T16:00:49.482Z","updated_at":"2022-01-10T16:00:49.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1051","type":"fairsharing_records","attributes":{"created_at":"2021-01-13T14:08:33.000Z","updated_at":"2023-09-29T11:55:02.584Z","metadata":{"doi":"10.25504/FAIRsharing.a6b18c","name":"ISO 19115-2:2019 Geographic information — Metadata — Part 2: Extensions for acquisition and processing","status":"ready","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/67039.html","citations":[],"identifier":1051,"description":"ISO 19115-2:2019 Geographic information — Metadata — Part 2: \"Extensions for acquisition and processing\" provides the structure needed to more extensively describe the acquisition and processing of geographic information from all sources. This structure is intended to augment ISO 19115-1. This document replaces the previous edition (ISO 19115-2:2009), which focused on metadata for imagery and gridded data. During the revision process it was noted that this metadata applied to the acquisition and processing of geographic information from all sources, not just imagery and gridded data. Therefore, the name of the standard was updated to reflect this.","abbreviation":"ISO 19115-2:2019","year_creation":2019},"legacy_ids":["bsg-001579","bsg-s001579"],"name":"FAIRsharing record for: ISO 19115-2:2019 Geographic information — Metadata — Part 2: Extensions for acquisition and processing","abbreviation":"ISO 19115-2:2019","url":"https://fairsharing.org/10.25504/FAIRsharing.a6b18c","doi":"10.25504/FAIRsharing.a6b18c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115-2:2019 Geographic information — Metadata — Part 2: \"Extensions for acquisition and processing\" provides the structure needed to more extensively describe the acquisition and processing of geographic information from all sources. This structure is intended to augment ISO 19115-1. This document replaces the previous edition (ISO 19115-2:2009), which focused on metadata for imagery and gridded data. During the revision process it was noted that this metadata applied to the acquisition and processing of geographic information from all sources, not just imagery and gridded data. Therefore, the name of the standard was updated to reflect this.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location","Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1887,"relation":"undefined"}],"grants":[{"id":6677,"fairsharing_record_id":1051,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:28:09.942Z","updated_at":"2021-09-30T09:28:09.942Z","grant_id":null,"is_lead":true,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10943,"fairsharing_record_id":1051,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:50:38.197Z","updated_at":"2023-09-27T14:50:38.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1052","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T16:00:14.000Z","updated_at":"2023-09-29T11:55:02.319Z","metadata":{"doi":"10.25504/FAIRsharing.728ffd","name":"ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories","status":"ready","contacts":[{"contact_name":"Cristina Draghici","contact_email":"draghici@iso.org"}],"homepage":"https://www.iso.org/standard/66912.html","citations":[],"identifier":1052,"description":"ISO/IEC 17025:2017 specifies the general requirements for the competence, impartiality and consistent operation of laboratories. ISO/IEC 17025:2017 is applicable to all organizations performing laboratory activities, regardless of the number of personnel. Laboratory customers, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others use ISO/IEC 17025:2017 in confirming or recognizing the competence of laboratories.","abbreviation":"ISO/IEC 17025:2017","support_links":[{"url":"https://www.iso.org/ISO-IEC-17025-testing-and-calibration-laboratories.html","name":"Testing and calibration laboratories","type":"Help documentation"},{"url":"https://www.iso.org/publication/PUB100424.html","name":"General requirements for the competence of testing and calibration laboratories","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ISO/IEC_17025","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2017},"legacy_ids":["bsg-001591","bsg-s001591"],"name":"FAIRsharing record for: ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories","abbreviation":"ISO/IEC 17025:2017","url":"https://fairsharing.org/10.25504/FAIRsharing.728ffd","doi":"10.25504/FAIRsharing.728ffd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO/IEC 17025:2017 specifies the general requirements for the competence, impartiality and consistent operation of laboratories. ISO/IEC 17025:2017 is applicable to all organizations performing laboratory activities, regardless of the number of personnel. Laboratory customers, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others use ISO/IEC 17025:2017 in confirming or recognizing the competence of laboratories.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12139}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Engineering Science","Natural Science"],"domains":["Quality control","Legal regulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":28,"relation":"undefined"}],"grants":[{"id":6678,"fairsharing_record_id":1052,"organisation_id":1560,"relation":"maintains","created_at":"2021-09-30T09:28:09.981Z","updated_at":"2021-09-30T09:28:09.981Z","grant_id":null,"is_lead":true,"saved_state":{"id":1560,"name":"ISO/CASCO Committee on conformity assessment, International Organization for Standardization","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10942,"fairsharing_record_id":1052,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:50:12.706Z","updated_at":"2023-09-27T14:50:12.706Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1053","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:52:04.656Z","metadata":{"doi":"10.25504/FAIRsharing.vq28qp","name":"Population and Community Ontology","status":"ready","contacts":[{"contact_name":"Ramona Walls","contact_email":"rlwalls2008@gmail.com","contact_orcid":"0000-0001-8815-0078"}],"homepage":"https://github.com/PopulationAndCommunityOntology/pco","identifier":1053,"description":"Population and Community Ontology (PCO) is an ontology standard for describing the collective and interacting species of any taxa such as humans or plants. PCO has useful application in community health care, plant pathology, behavioral studies, sociology, and ecology. The PCO is compliant with the Basic Formal Ontology (BFO) and is designed to be compatible with other OBO Foundry ontologies.","abbreviation":"PCO","support_links":[{"url":"https://github.com/PopulationAndCommunityOntology/pco/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"popcomm-ontology@googlegroups.com","name":"popcomm-ontology@googlegroups.com","type":"Mailing list"},{"url":"https://www.google.com/url?sa=t\u0026rct=j\u0026q=\u0026esrc=s\u0026source=web\u0026cd=4\u0026ved=2ahUKEwi7vt2c6pnjAhVKh1wKHakhACIQFjADegQIBhAC\u0026url=http%3A%2F%2Fontology.buffalo.edu%2F12%2FPCO_Nov2012.pptx\u0026usg=AOvVaw37nWc4XqEiTEo2O4Rutn64","name":"Presentation","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PCO","name":"PCO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pco.html","name":"pco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002830","bsg-s002830"],"name":"FAIRsharing record for: Population and Community Ontology","abbreviation":"PCO","url":"https://fairsharing.org/10.25504/FAIRsharing.vq28qp","doi":"10.25504/FAIRsharing.vq28qp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Population and Community Ontology (PCO) is an ontology standard for describing the collective and interacting species of any taxa such as humans or plants. PCO has useful application in community health care, plant pathology, behavioral studies, sociology, and ecology. The PCO is compliant with the Basic Formal Ontology (BFO) and is designed to be compatible with other OBO Foundry ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Ecology","Biodiversity","Community Care","Social and Behavioural Science","Population Genetics"],"domains":["Evolution"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2744,"pubmed_id":null,"title":"Meeting report: advancing practical applications of biodiversity ontologies","year":2014,"url":"https://dx.doi.org/10.1186%2F1944-3277-9-17","authors":"Ramona L Walls, Robert Guralnick, John Deck, Adam Buntzman, Pier Luigi Buttigieg, Neil Davies, Michael W Denslow, Rachel E Gallery, J Jacob Parnell, David Osumi-Sutherland, Robert J Robbins, Philippe Rocca-Serra, John Wieczorek, and Jie Zheng","journal":"Stand Genomic Sci","doi":null,"created_at":"2021-09-30T08:27:37.018Z","updated_at":"2021-09-30T08:27:37.018Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1836,"relation":"undefined"}],"grants":[{"id":6679,"fairsharing_record_id":1053,"organisation_id":3013,"relation":"maintains","created_at":"2021-09-30T09:28:10.018Z","updated_at":"2021-09-30T09:28:10.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":3013,"name":"University of Arizona, United States","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1030","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:01.080Z","metadata":{"doi":"10.25504/FAIRsharing.bgkyd7","name":"Measurement Method Ontology","status":"ready","contacts":[{"contact_name":"Mary Shimoyama","contact_email":"shimoyama@mcw.edu","contact_orcid":"0000-0003-1176-0796"}],"homepage":"http://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=MMO:0000000","identifier":1030,"description":"The Measurement Method Ontology is designed to represent the variety of methods used to make qualitative and quantitative clinical and phenotype measurements both in the clinic and with model organisms.","abbreviation":"MMO","support_links":[{"url":"http://rgd.mcw.edu/contact/index.shtml","type":"Contact form"},{"url":"http://rgd.mcw.edu/wg/help3/data/ontologies","type":"Help documentation"},{"url":"http://sourceforge.net/projects/phenoonto/","type":"Help documentation"},{"url":"https://twitter.com/ratgenome","type":"Twitter"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MMO","name":"MMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mmo.html","name":"mmo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002714","bsg-s002714"],"name":"FAIRsharing record for: Measurement Method Ontology","abbreviation":"MMO","url":"https://fairsharing.org/10.25504/FAIRsharing.bgkyd7","doi":"10.25504/FAIRsharing.bgkyd7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Measurement Method Ontology is designed to represent the variety of methods used to make qualitative and quantitative clinical and phenotype measurements both in the clinic and with model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12020},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12450}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Model organism","Phenotype"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":891,"pubmed_id":22654893,"title":"Three ontologies to define phenotype measurement data.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00087","authors":"Shimoyama M,Nigam R,McIntosh LS,Nagarajan R,Rice T,Rao DC,Dwinell MR","journal":"Front Genet","doi":"10.3389/fgene.2012.00087","created_at":"2021-09-30T08:23:58.429Z","updated_at":"2021-09-30T08:23:58.429Z"},{"id":1772,"pubmed_id":24103152,"title":"The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-26","authors":"Smith JR,Park CA,Nigam R,Laulederkind SJ,Hayman GT,Wang SJ,Lowry TF,Petri V,Pons JD,Tutaj M,Liu W,Worthey EA,Shimoyama M,Dwinell MR","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-26","created_at":"2021-09-30T08:25:38.805Z","updated_at":"2021-09-30T08:25:38.805Z"}],"licence_links":[],"grants":[{"id":7954,"fairsharing_record_id":1030,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:03.207Z","updated_at":"2021-09-30T09:30:03.293Z","grant_id":531,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7987,"fairsharing_record_id":1030,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:15.792Z","updated_at":"2021-09-30T09:30:15.862Z","grant_id":626,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL064541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6636,"fairsharing_record_id":1030,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:08.461Z","updated_at":"2021-09-30T09:28:08.461Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6639,"fairsharing_record_id":1030,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:08.541Z","updated_at":"2021-09-30T09:29:46.376Z","grant_id":395,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094286","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6638,"fairsharing_record_id":1030,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:08.510Z","updated_at":"2021-09-30T09:32:17.553Z","grant_id":1551,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9269,"fairsharing_record_id":1030,"organisation_id":2468,"relation":"maintains","created_at":"2022-04-11T12:07:26.702Z","updated_at":"2022-04-11T12:07:26.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":2468,"name":"RS Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1031","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T12:20:38.000Z","updated_at":"2023-05-05T08:40:32.422Z","metadata":{"doi":"10.25504/FAIRsharing.d7af97","name":"Regular Language for XML Next Generation","status":"ready","contacts":[],"homepage":"https://www.oasis-open.org/committees/tc_home.php?wg_abbrev=relax-ng","citations":[],"identifier":1031,"description":"RELAX NG a schema language for describing the structure and defining the elements of XML documents.","abbreviation":"RELAX NG","support_links":[{"url":"https://www.oasis-open.org/committees/relax-ng/tutorial-20011203.html","name":"Tutorial","type":"Training documentation"},{"url":"https://wiki.oasis-open.org/relax-ng/","name":"Wiki","type":"Wikipedia"},{"url":"https://www.oasis-open.org/committees/comments/index.php?wg_abbrev=relax-ng","name":"How to Comment","type":"Contact form"}],"year_creation":2001},"legacy_ids":["bsg-001262","bsg-s001262"],"name":"FAIRsharing record for: Regular Language for XML Next Generation","abbreviation":"RELAX NG","url":"https://fairsharing.org/10.25504/FAIRsharing.d7af97","doi":"10.25504/FAIRsharing.d7af97","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RELAX NG a schema language for describing the structure and defining the elements of XML documents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6640,"fairsharing_record_id":1031,"organisation_id":1525,"relation":"undefined","created_at":"2021-09-30T09:28:08.583Z","updated_at":"2021-09-30T09:28:08.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6641,"fairsharing_record_id":1031,"organisation_id":1789,"relation":"maintains","created_at":"2021-09-30T09:28:08.624Z","updated_at":"2021-09-30T09:28:08.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":1789,"name":"Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1032","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2024-02-28T13:54:52.523Z","metadata":{"doi":"10.25504/FAIRsharing.j2cgnn","name":"Autism DSM-ADI-R ontology","status":"deprecated","contacts":[{"contact_name":"Mor Peleg","contact_email":"peleg.mor@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/ADAR","citations":[],"identifier":1032,"description":"The Autism DSM-ADI-R (ADAR) ontology uses SWRL rules to infer phenotypes from ADI-R items. It includes OWL class definitions representing DSM IV diagnostic criteria for autistic disorder and ASD criteria for Autism Spectrum Disorder. The goal is to create an ontology that will allow data integration and reasoning with subject data to classify subjects, and based on this classification, to infer new knowledge on Autism Spectrum Disorder (ASD) and related neurodevelopmental disorders (NDD). They extended an existing autism ontology to allow automatic inference of ASD phenotypes and Diagnostic \u0026 Statistical Manual of Mental Disorders (DSM) criteria based on subjects’ Autism Diagnostic Interview-Revised (ADI-R) assessment data.","abbreviation":"ADAR","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ADAR","name":"ADAR","portal":"BioPortal"}],"deprecation_date":"2024-02-28","deprecation_reason":"This resource has not been updated on BioPortal since 2015, we cannot find an alternative homepage, and the contacts for the resource have not responded to our enquiries, therefore we consider this resource deprecated. Please get in touch with us if you have information about the current status of this resource."},"legacy_ids":["bsg-000934","bsg-s000934"],"name":"FAIRsharing record for: Autism DSM-ADI-R ontology","abbreviation":"ADAR","url":"https://fairsharing.org/10.25504/FAIRsharing.j2cgnn","doi":"10.25504/FAIRsharing.j2cgnn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Autism DSM-ADI-R (ADAR) ontology uses SWRL rules to infer phenotypes from ADI-R items. It includes OWL class definitions representing DSM IV diagnostic criteria for autistic disorder and ASD criteria for Autism Spectrum Disorder. The goal is to create an ontology that will allow data integration and reasoning with subject data to classify subjects, and based on this classification, to infer new knowledge on Autism Spectrum Disorder (ASD) and related neurodevelopmental disorders (NDD). They extended an existing autism ontology to allow automatic inference of ASD phenotypes and Diagnostic \u0026 Statistical Manual of Mental Disorders (DSM) criteria based on subjects’ Autism Diagnostic Interview-Revised (ADI-R) assessment data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Autistic disorder","Phenotype","Diagnosis","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel","United States"],"publications":[{"id":2064,"pubmed_id":26151311,"title":"An ontology for Autism Spectrum Disorder (ASD) to infer ASD phenotypes from Autism Diagnostic Interview-Revised data.","year":2015,"url":"http://doi.org/10.1016/j.jbi.2015.06.026","authors":"Mugzach O,Peleg M,Bagley SC,Guter SJ,Cook EH,Altman RB","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2015.06.026","created_at":"2021-09-30T08:26:12.550Z","updated_at":"2021-09-30T08:26:12.550Z"}],"licence_links":[],"grants":[{"id":6642,"fairsharing_record_id":1032,"organisation_id":719,"relation":"maintains","created_at":"2021-09-30T09:28:08.662Z","updated_at":"2021-09-30T09:28:08.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":719,"name":"Department of Information Systems, University of Haifa, Israel","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6643,"fairsharing_record_id":1032,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:28:08.700Z","updated_at":"2021-09-30T09:28:08.700Z","grant_id":null,"is_lead":false,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6644,"fairsharing_record_id":1032,"organisation_id":739,"relation":"maintains","created_at":"2021-09-30T09:28:08.742Z","updated_at":"2021-09-30T09:28:08.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":739,"name":"Department of Psychiatry, University of Illinois at Chicago, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1033","type":"fairsharing_records","attributes":{"created_at":"2019-02-20T20:09:44.000Z","updated_at":"2022-07-20T12:46:37.967Z","metadata":{"doi":"10.25504/FAIRsharing.okQOaq","name":"Energy Industry Profile (EIP) v1.1 of ISO-19115-1:2014","status":"ready","contacts":[{"contact_name":"Jay Hollingsworth","contact_email":"Jay.Hollingsworth@energistics.org"}],"homepage":"https://www.energistics.org/eip-specification/","identifier":1033,"description":"The Energy Industry Profile (EIP) of ISO 19115-1:2014 is an open, non-proprietary exchange standard for metadata used to document information resources, and in particular resources referenced to a geographic location, e.g., geospatial datasets and web services, physical resources with associated location, or mapping, interpretation, and modeling datasets. It was developed using input and requirements provided by stakeholders of the global upstream oil \u0026 gas industry, and is an ISO Conformance Level 1 profile of the widely adopted international standards ISO 19115-1:2014 which provides XML implementation guidance with reference to ISO Technical Specification 19115-3:2016.","abbreviation":"EIP","support_links":[{"url":"standards@energistics.org","name":"EIP Metadata Info","type":"Support email"},{"url":"https://www.energistics.org/energy-industry-profile-faq/","name":"EIP FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.energistics.org/metadata-reference-materials/","name":"Reference Materials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001360","bsg-s001360"],"name":"FAIRsharing record for: Energy Industry Profile (EIP) v1.1 of ISO-19115-1:2014","abbreviation":"EIP","url":"https://fairsharing.org/10.25504/FAIRsharing.okQOaq","doi":"10.25504/FAIRsharing.okQOaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Energy Industry Profile (EIP) of ISO 19115-1:2014 is an open, non-proprietary exchange standard for metadata used to document information resources, and in particular resources referenced to a geographic location, e.g., geospatial datasets and web services, physical resources with associated location, or mapping, interpretation, and modeling datasets. It was developed using input and requirements provided by stakeholders of the global upstream oil \u0026 gas industry, and is an ISO Conformance Level 1 profile of the widely adopted international standards ISO 19115-1:2014 which provides XML implementation guidance with reference to ISO Technical Specification 19115-3:2016.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Energy Engineering","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Energistics Product Use License Agreement","licence_id":280,"licence_url":"https://www.energistics.org/product-license-agreement/","link_id":875,"relation":"undefined"}],"grants":[{"id":6646,"fairsharing_record_id":1033,"organisation_id":861,"relation":"maintains","created_at":"2021-09-30T09:28:08.820Z","updated_at":"2021-09-30T09:28:08.820Z","grant_id":null,"is_lead":true,"saved_state":{"id":861,"name":"Energistics Consortium, Houston, Texas, United States","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1047","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-24T08:34:11.856Z","metadata":{"doi":"10.25504/FAIRsharing.p77ph9","name":"Resource Description Framework","status":"ready","contacts":[{"contact_name":"RDF Comments General List","contact_email":"public-rdf-comments@w3.org","contact_orcid":null}],"homepage":"https://www.w3.org/TR/rdf11-concepts/","citations":[],"identifier":1047,"description":"The Resource Description Framework (RDF) is a framework for representing information in the Web. This document defines an abstract syntax (a data model) which serves to link all RDF-based languages and specifications. The abstract syntax has two key data structures: RDF graphs are sets of subject-predicate-object triples, where the elements may be IRIs, blank nodes, or datatyped literals. They are used to express descriptions of resources. RDF datasets are used to organize collections of RDF graphs, and comprise a default graph and zero or more named graphs. RDF 1.1 Concepts and Abstract Syntax also introduces key concepts and terminology, and discusses datatyping and the handling of fragment identifiers in IRIs within RDF graphs.","abbreviation":"RDF","support_links":[{"url":"https://www.w3.org/2001/sw/wiki/RDF1.1_Errata","name":"Errata","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000559","bsg-s000559"],"name":"FAIRsharing record for: Resource Description Framework","abbreviation":"RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.p77ph9","doi":"10.25504/FAIRsharing.p77ph9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Resource Description Framework (RDF) is a framework for representing information in the Web. This document defines an abstract syntax (a data model) which serves to link all RDF-based languages and specifications. The abstract syntax has two key data structures: RDF graphs are sets of subject-predicate-object triples, where the elements may be IRIs, blank nodes, or datatyped literals. They are used to express descriptions of resources. RDF datasets are used to organize collections of RDF graphs, and comprise a default graph and zero or more named graphs. RDF 1.1 Concepts and Abstract Syntax also introduces key concepts and terminology, and discusses datatyping and the handling of fragment identifiers in IRIs within RDF graphs.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18258},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11864},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12046},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13180},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13202},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13239},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13245},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13896}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":418,"relation":"undefined"}],"grants":[{"id":11747,"fairsharing_record_id":1047,"organisation_id":3206,"relation":"maintains","created_at":"2024-04-24T08:22:11.452Z","updated_at":"2024-04-24T08:22:11.452Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2dFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--14ebea4e76c832b229dde80e84c21b79909ce52b/Screenshot%20from%202024-04-24%2009-19-48.png?disposition=inline","exhaustive_licences":true}},{"id":"1048","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:44.210Z","metadata":{"doi":"10.25504/FAIRsharing.pxvkt0","name":"Variation data representation and exchange","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"admin@varioml.org"}],"homepage":"http://varioml.org","identifier":1048,"description":"Data using the VarioML standard can be integrated with the global library of purely genetic data. VarioML is a central prerequisite for effective modelling of phenotype data and genotype-to-phenotype relationships. It removes the obstacles to the effective passing of variant data from discovery laboratories into the biomedical database world. Now all that is needed is the broad participation of the genotype-to-phenotype research community.","abbreviation":"VarioML","support_links":[{"url":"http://varioml.org/faq.htm","type":"Frequently Asked Questions (FAQs)"}]},"legacy_ids":["bsg-000298","bsg-s000298"],"name":"FAIRsharing record for: Variation data representation and exchange","abbreviation":"VarioML","url":"https://fairsharing.org/10.25504/FAIRsharing.pxvkt0","doi":"10.25504/FAIRsharing.pxvkt0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data using the VarioML standard can be integrated with the global library of purely genetic data. VarioML is a central prerequisite for effective modelling of phenotype data and genotype-to-phenotype relationships. It removes the obstacles to the effective passing of variant data from discovery laboratories into the biomedical database world. Now all that is needed is the broad participation of the genotype-to-phenotype research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":618,"pubmed_id":23031277,"title":"VarioML framework for comprehensive variation data representation and exchange","year":2012,"url":"http://doi.org/10.1186/1471-2105-13-254","authors":"Byrne M, Fokkema IF, Lancaster O, Adamusiak T, Ahonen-Bishopp A, Atlan D, Beroud C, Cornell M, Dalgleish R, Devereau A, Patrinos GP, Swertz MA, Taschner PE, Thorisson GA, Vihinen M, Brookes AJ, Muilu J","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-13-254","created_at":"2021-09-30T08:23:28.014Z","updated_at":"2021-09-30T08:23:28.014Z"}],"licence_links":[],"grants":[{"id":6673,"fairsharing_record_id":1048,"organisation_id":1098,"relation":"maintains","created_at":"2021-09-30T09:28:09.793Z","updated_at":"2021-09-30T09:28:09.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":1098,"name":"GEN2PHEN","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6674,"fairsharing_record_id":1048,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:09.834Z","updated_at":"2021-09-30T09:29:49.978Z","grant_id":425,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1049","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.878Z","metadata":{"doi":"10.25504/FAIRsharing.1evfpc","name":"Computer Retrieval of Information on Scientific Projects Thesaurus","status":"uncertain","contacts":[{"contact_name":"Anita Ghebeles","contact_email":"af8d@nih.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/1526","identifier":1049,"description":"CRISP is a terminology used for indexing biomedical information. CRISP contains over 8,000 preferred terms that are grouped hierarchically into 11 domains.","abbreviation":"CRISP","year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CRISP","name":"CRISP","portal":"BioPortal"}]},"legacy_ids":["bsg-002681","bsg-s002681"],"name":"FAIRsharing record for: Computer Retrieval of Information on Scientific Projects Thesaurus","abbreviation":"CRISP","url":"https://fairsharing.org/10.25504/FAIRsharing.1evfpc","doi":"10.25504/FAIRsharing.1evfpc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CRISP is a terminology used for indexing biomedical information. CRISP contains over 8,000 preferred terms that are grouped hierarchically into 11 domains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Social Science","Medicine","Chemical Biology","Biomedical Science","Biology"],"domains":["Food","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":903,"pubmed_id":8718842,"title":"Taking a bite out of CRISP. Strategies on using and conducting searches in the Computer Retrieval of Information on Scientific Projects database.","year":1996,"url":"https://www.ncbi.nlm.nih.gov/pubmed/8718842","authors":"Bair AH,Brown LP,Pugh LC,Borucki LC,Spatz DL","journal":"Comput Nurs","doi":null,"created_at":"2021-09-30T08:23:59.738Z","updated_at":"2021-09-30T08:23:59.738Z"}],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":476,"relation":"undefined"}],"grants":[{"id":6675,"fairsharing_record_id":1049,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:09.872Z","updated_at":"2021-09-30T09:28:09.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1055","type":"fairsharing_records","attributes":{"created_at":"2018-10-15T19:51:04.000Z","updated_at":"2022-07-20T12:27:58.124Z","metadata":{"doi":"10.25504/FAIRsharing.9614ca","name":"Cooperative Ocean-Atmosphere Research Data Service Conventions","status":"ready","contacts":[{"contact_email":"oar.pmel.contact_ferret@noaa.gov"}],"homepage":"https://ferret.pmel.noaa.gov/Ferret/documentation/coards-netcdf-conventions","identifier":1055,"description":"The COARDS conventions are a set of conventions adopted in order to promote the interchange and sharing of files created with the netCDF Application Programmer Interface (API). This standard is based upon version 2.3 of netCDF. Documentation of the netCDF API may be found in the NetCDF documentation. All conventions named in that document will be adhered to in this standard unless noted to the contrary. This standard also refers to version 1.7.1 of the Udunits standard supported by Unidata.","abbreviation":"COARDS conventions","support_links":[{"url":"https://www.unidata.ucar.edu/software/netcdf/conventions.html","name":"Unidata NetCDF Conventions","type":"Help documentation"}],"year_creation":1995},"legacy_ids":["bsg-001326","bsg-s001326"],"name":"FAIRsharing record for: Cooperative Ocean-Atmosphere Research Data Service Conventions","abbreviation":"COARDS conventions","url":"https://fairsharing.org/10.25504/FAIRsharing.9614ca","doi":"10.25504/FAIRsharing.9614ca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COARDS conventions are a set of conventions adopted in order to promote the interchange and sharing of files created with the netCDF Application Programmer Interface (API). This standard is based upon version 2.3 of netCDF. Documentation of the netCDF API may be found in the NetCDF documentation. All conventions named in that document will be adhered to in this standard unless noted to the contrary. This standard also refers to version 1.7.1 of the Udunits standard supported by Unidata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Atmospheric Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6681,"fairsharing_record_id":1055,"organisation_id":2056,"relation":"maintains","created_at":"2021-09-30T09:28:10.096Z","updated_at":"2021-09-30T09:28:10.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6680,"fairsharing_record_id":1055,"organisation_id":609,"relation":"maintains","created_at":"2021-09-30T09:28:10.060Z","updated_at":"2021-09-30T09:28:10.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":609,"name":"Cooperative Institute for Research in Environmental Science, University of Colorado Boulder, Boulder, CO, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6682,"fairsharing_record_id":1055,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:28:10.129Z","updated_at":"2021-09-30T09:28:10.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1056","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-26T08:34:22.248Z","metadata":{"doi":"10.25504/FAIRsharing.sjhvyy","name":"CHEMical INFormation Ontology","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@gmail.com","contact_orcid":"0000-0001-7542-0286"}],"homepage":"https://github.com/semanticchemistry/semanticchemistry","citations":[{"doi":"10.1371/journal.pone.0025513","pubmed_id":21991315,"publication_id":1008}],"identifier":1056,"description":"The Chemical Information Ontology (CHEMINF) aims to establish a standard in representing chemical information. In particular, it aims to produce an ontology to represent chemical structure and to richly describe chemical properties, whether intrinsic or computed.","abbreviation":"CHEMINF","support_links":[{"url":"https://github.com/semanticchemistry/semanticchemistry/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEMINF","name":"CHEMINF","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cheminf.html","name":"cheminf","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000040","bsg-s000040"],"name":"FAIRsharing record for: CHEMical INFormation Ontology","abbreviation":"CHEMINF","url":"https://fairsharing.org/10.25504/FAIRsharing.sjhvyy","doi":"10.25504/FAIRsharing.sjhvyy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chemical Information Ontology (CHEMINF) aims to establish a standard in representing chemical information. In particular, it aims to produce an ontology to represent chemical structure and to richly describe chemical properties, whether intrinsic or computed.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18254},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11708},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11942}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":1008,"pubmed_id":21991315,"title":"The chemical information ontology: provenance and disambiguation for chemical data on the biological semantic web.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0025513","authors":"Hastings J,Chepelev L,Willighagen E,Adams N,Steinbeck C,Dumontier M","journal":"PLoS One","doi":"10.1371/journal.pone.0025513","created_at":"2021-09-30T08:24:11.621Z","updated_at":"2021-09-30T08:24:11.621Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3564,"relation":"applies_to_content"}],"grants":[{"id":6684,"fairsharing_record_id":1056,"organisation_id":1959,"relation":"maintains","created_at":"2021-09-30T09:28:10.178Z","updated_at":"2021-09-30T09:28:10.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6686,"fairsharing_record_id":1056,"organisation_id":3159,"relation":"funds","created_at":"2021-09-30T09:28:10.226Z","updated_at":"2021-09-30T09:29:18.626Z","grant_id":189,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","grant":"KoF 07","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6683,"fairsharing_record_id":1056,"organisation_id":500,"relation":"maintains","created_at":"2021-09-30T09:28:10.153Z","updated_at":"2021-09-30T09:28:10.153Z","grant_id":null,"is_lead":true,"saved_state":{"id":500,"name":"Chemical Information Ontology (CHEMINF) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6685,"fairsharing_record_id":1056,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:28:10.203Z","updated_at":"2021-09-30T09:28:10.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6687,"fairsharing_record_id":1056,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:10.254Z","updated_at":"2021-09-30T09:31:49.600Z","grant_id":1344,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022747/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1057","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:52:04.512Z","metadata":{"doi":"10.25504/FAIRsharing.4ghkfj","name":"Library of Congress Genre/Form Terms for Library and Archival Materials","status":"ready","homepage":"https://id.loc.gov/authorities/genreForms.html","identifier":1057,"description":"The Library of Congress Genre/Form Terms for Library and Archival Materials (LCGFT) is a thesaurus that describes what a work is versus what it is about. For instance, the subject heading Horror films, with appropriate subdivisions, would be assigned to a book about horror films. A cataloger assigning headings to the movie The Texas Chainsaw Massacre would also use Horror films, but it would be a genre/form term since the movie is a horror film, not a movie about horror films. The thesaurus combines both genres and forms. Form is defined as a characteristic of works with a particular format and/or purpose. A \"short\" is a particular form, for example, as is \"animation.\" Genre refers to categories of works that are characterized by similar plots, themes, settings, situations, and characters.","abbreviation":"LCGFT","support_links":[{"url":"https://id.loc.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://www.loc.gov/catdir/cpso/genre_form_faq.pdf","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://id.loc.gov/techcenter/","name":"Download Help","type":"Help documentation"},{"url":"https://listserv.loc.gov/cgi-bin/wa?A0=ID","name":"LOC Linked Data Mailing List","type":"Mailing list"},{"url":"https://www.loc.gov/catdir/cpso/genreformgeneral.html","name":"General Documentation","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LCGFT","name":"LCGFT","portal":"BioPortal"}]},"legacy_ids":["bsg-000913","bsg-s000913"],"name":"FAIRsharing record for: Library of Congress Genre/Form Terms for Library and Archival Materials","abbreviation":"LCGFT","url":"https://fairsharing.org/10.25504/FAIRsharing.4ghkfj","doi":"10.25504/FAIRsharing.4ghkfj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Genre/Form Terms for Library and Archival Materials (LCGFT) is a thesaurus that describes what a work is versus what it is about. For instance, the subject heading Horror films, with appropriate subdivisions, would be assigned to a book about horror films. A cataloger assigning headings to the movie The Texas Chainsaw Massacre would also use Horror films, but it would be a genre/form term since the movie is a horror film, not a movie about horror films. The thesaurus combines both genres and forms. Form is defined as a characteristic of works with a particular format and/or purpose. A \"short\" is a particular form, for example, as is \"animation.\" Genre refers to categories of works that are characterized by similar plots, themes, settings, situations, and characters.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Art","Fine Arts"],"domains":["Classification"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":959,"relation":"undefined"}],"grants":[{"id":6688,"fairsharing_record_id":1057,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:10.288Z","updated_at":"2021-09-30T09:28:10.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1063","type":"fairsharing_records","attributes":{"created_at":"2018-09-03T21:21:00.000Z","updated_at":"2022-02-08T10:49:22.372Z","metadata":{"doi":"10.25504/FAIRsharing.87ccfd","name":"Simple Protocol and RDF Query Language Overview","status":"ready","contacts":[{"contact_name":"W3C SPARQL Working Group","contact_email":"public-rdf-dawg-comments@w3.org"}],"homepage":"http://www.w3.org/TR/sparql11-overview/","identifier":1063,"description":"Simple Protocol and RDF Query Language (SPARQL). This document is an overview of SPARQL 1.1. It provides an introduction to a set of W3C specifications that facilitate querying and manipulating RDF graph content on the Web or in an RDF store.","abbreviation":"SPARQL","year_creation":2004},"legacy_ids":["bsg-001269","bsg-s001269"],"name":"FAIRsharing record for: Simple Protocol and RDF Query Language Overview","abbreviation":"SPARQL","url":"https://fairsharing.org/10.25504/FAIRsharing.87ccfd","doi":"10.25504/FAIRsharing.87ccfd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Simple Protocol and RDF Query Language (SPARQL). This document is an overview of SPARQL 1.1. It provides an introduction to a set of W3C specifications that facilitate querying and manipulating RDF graph content on the Web or in an RDF store.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13181}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Resource metadata","Graph"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":637,"relation":"undefined"}],"grants":[{"id":6695,"fairsharing_record_id":1063,"organisation_id":3208,"relation":"maintains","created_at":"2021-09-30T09:28:10.480Z","updated_at":"2021-09-30T09:28:10.480Z","grant_id":null,"is_lead":true,"saved_state":{"id":3208,"name":"W3C SPARQL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1064","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T20:52:15.000Z","updated_at":"2023-09-29T11:54:55.777Z","metadata":{"doi":"10.25504/FAIRsharing.b8d42b","name":"Information processing -- Text and office systems -- Standard Generalized Markup Language (SGML)","status":"ready","contacts":[{"contact_name":"Toshiko Kimura","contact_email":"kimura@itscj.ipsj.or.jp"}],"homepage":"https://www.iso.org/standard/16387.html","citations":[],"identifier":1064,"description":"SGML / ISO 8879:1986 is an ISO standard for meta language containing both a concrete syntax for serializing SGML documents and a framework for describing document grammars.","abbreviation":"ISO 8879:1986","support_links":[{"url":"https://www.iso.org/contents/data/standard/01/63/16387.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1986},"legacy_ids":["bsg-001266","bsg-s001266"],"name":"FAIRsharing record for: Information processing -- Text and office systems -- Standard Generalized Markup Language (SGML)","abbreviation":"ISO 8879:1986","url":"https://fairsharing.org/10.25504/FAIRsharing.b8d42b","doi":"10.25504/FAIRsharing.b8d42b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SGML / ISO 8879:1986 is an ISO standard for meta language containing both a concrete syntax for serializing SGML documents and a framework for describing document grammars.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":732,"relation":"undefined"}],"grants":[{"id":6696,"fairsharing_record_id":1064,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:28:10.518Z","updated_at":"2021-09-30T09:28:10.518Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10909,"fairsharing_record_id":1064,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:04:04.080Z","updated_at":"2023-09-27T14:04:04.080Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1065","type":"fairsharing_records","attributes":{"created_at":"2016-04-07T15:05:47.000Z","updated_at":"2021-11-24T13:14:26.898Z","metadata":{"doi":"10.25504/FAIRsharing.cjyac2","name":"CDISC Clinical Trial Registry XML","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"awhite@cdisc.org","contact_orcid":"0000-0002-0612-5344"}],"homepage":"https://www.cdisc.org/standards/data-exchange/ctr-xml","identifier":1065,"description":"CTR-XML lets technology vendors implement tools that support a \"write once, use many times\" solution based on a single XML file that holds the information needed to generate submissions for multiple clinical trials for clinical trial registry submissions primarily to the World Health Organization (WHO), European Medicines Agency (EMA) EudraCT Registry and United States ClinicalTrials.gov.","abbreviation":"CDISC CTR-XML","year_creation":2016},"legacy_ids":["bsg-000646","bsg-s000646"],"name":"FAIRsharing record for: CDISC Clinical Trial Registry XML","abbreviation":"CDISC CTR-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.cjyac2","doi":"10.25504/FAIRsharing.cjyac2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CTR-XML lets technology vendors implement tools that support a \"write once, use many times\" solution based on a single XML file that holds the information needed to generate submissions for multiple clinical trials for clinical trial registry submissions primarily to the World Health Organization (WHO), European Medicines Agency (EMA) EudraCT Registry and United States ClinicalTrials.gov.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17392},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11811},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12065},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12488},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16960}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6697,"fairsharing_record_id":1065,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:10.560Z","updated_at":"2021-09-30T09:28:10.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6698,"fairsharing_record_id":1065,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:10.602Z","updated_at":"2021-09-30T09:28:10.602Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1066","type":"fairsharing_records","attributes":{"created_at":"2018-09-03T21:29:58.000Z","updated_at":"2022-02-08T10:49:24.850Z","metadata":{"doi":"10.25504/FAIRsharing.a4e736","name":"Segmentation Rules eXchange","status":"ready","contacts":[{"contact_name":"David Pooley","contact_email":"dpooley@sdl.com"}],"homepage":"https://www.gala-global.org/srx-20-april-7-2008","citations":[],"identifier":1066,"description":"The Segmentation Rules eXchange format (SRX provides a standard method to describe segmentation rules that are being exchanged among tools and/or translation vendors. SRX defines an XML vocabulary for describing the rules used for breaking a text document into smaller fragments -or segments- suitable for translation. This specification was originally published by the Localization Industry Standards Association (LISA).","abbreviation":"SRX","support_links":[{"url":"info@gala-global.org","name":"General Contact","type":"Support email"}],"year_creation":2004},"legacy_ids":["bsg-001270","bsg-s001270"],"name":"FAIRsharing record for: Segmentation Rules eXchange","abbreviation":"SRX","url":"https://fairsharing.org/10.25504/FAIRsharing.a4e736","doi":"10.25504/FAIRsharing.a4e736","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Segmentation Rules eXchange format (SRX provides a standard method to describe segmentation rules that are being exchanged among tools and/or translation vendors. SRX defines an XML vocabulary for describing the rules used for breaking a text document into smaller fragments -or segments- suitable for translation. This specification was originally published by the Localization Industry Standards Association (LISA).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Resource metadata","Free text"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":560,"relation":"undefined"}],"grants":[{"id":6699,"fairsharing_record_id":1066,"organisation_id":1174,"relation":"maintains","created_at":"2021-09-30T09:28:10.639Z","updated_at":"2021-09-30T09:28:10.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":1174,"name":"Globalization and Localization Association (GALA), Seattle, Washington, United States","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1034","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.793Z","metadata":{"doi":"10.25504/FAIRsharing.newa3z","name":"Biological SPatial Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":"0000-0002-6601-2165"}],"homepage":"http://bioportal.bioontology.org/ontologies/BSPO","identifier":1034,"description":"This ontology represents spatial concepts, anatomical axes, gradients, regions, planes, sides, and surfaces. These concepts can be used at multiple biological scales and in a diversity of taxa, including plants, animals and fungi. The BSPO is used to provide a source of anatomical location descriptors for logically defining anatomical entity classes in anatomy ontologies.","abbreviation":"BSPO","support_links":[{"url":"https://sourceforge.net/projects/obo/lists/obo-anatomy","type":"Mailing list"}],"year_creation":2013},"legacy_ids":["bsg-000007","bsg-s000007"],"name":"FAIRsharing record for: Biological SPatial Ontology","abbreviation":"BSPO","url":"https://fairsharing.org/10.25504/FAIRsharing.newa3z","doi":"10.25504/FAIRsharing.newa3z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology represents spatial concepts, anatomical axes, gradients, regions, planes, sides, and surfaces. These concepts can be used at multiple biological scales and in a diversity of taxa, including plants, animals and fungi. The BSPO is used to provide a source of anatomical location descriptors for logically defining anatomical entity classes in anatomy ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11935}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Animalia","Fungi","Plantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2659,"pubmed_id":25140222,"title":"Nose to tail, roots to shoots: spatial descriptors for phenotypic diversity in the Biological Spatial Ontology.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-34","authors":"Dahdul WM,Cui H,Mabee PM,Mungall CJ,Osumi-Sutherland D,Walls RL,Haendel MA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-34","created_at":"2021-09-30T08:27:26.538Z","updated_at":"2021-09-30T08:27:26.538Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":835,"relation":"undefined"}],"grants":[{"id":6649,"fairsharing_record_id":1034,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:08.912Z","updated_at":"2021-09-30T09:28:08.912Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6648,"fairsharing_record_id":1034,"organisation_id":378,"relation":"maintains","created_at":"2021-09-30T09:28:08.882Z","updated_at":"2021-09-30T09:28:08.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":378,"name":"CARO administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6647,"fairsharing_record_id":1034,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:08.853Z","updated_at":"2021-09-30T09:28:08.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1035","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.861Z","metadata":{"doi":"10.25504/FAIRsharing.eqgjeq","name":"Bilateria anatomy","status":"deprecated","contacts":[{"contact_name":"Yannick Haudry","contact_email":"yannick.haudry@embl.de"}],"homepage":"http://purl.bioontology.org/ontology/BILA","identifier":1035,"description":"This is a record of the Bilateria anatomy terminology and ontology. We have been unable to find any further information about this resource.","abbreviation":"BILA","deprecation_date":"2015-04-10","deprecation_reason":"This resource is no longer maintained. Please contact us via the \"Ask Question\" button at the top of this page if you have any information relating to the activity of this ontology."},"legacy_ids":["bsg-000006","bsg-s000006"],"name":"FAIRsharing record for: Bilateria anatomy","abbreviation":"BILA","url":"https://fairsharing.org/10.25504/FAIRsharing.eqgjeq","doi":"10.25504/FAIRsharing.eqgjeq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a record of the Bilateria anatomy terminology and ontology. We have been unable to find any further information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Bilateria"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1081","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:47.856Z","metadata":{"doi":"10.25504/FAIRsharing.10gr18","name":"Vertebrate Trait Ontology","status":"ready","contacts":[{"contact_name":"Jim Reecy","contact_email":"jreecy@iastate.edu"}],"homepage":"https://github.com/AnimalGenome/vertebrate-trait-ontology","identifier":1081,"description":"The Vertebrate Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to the morphology, physiology, or development of vertebrate organisms.","abbreviation":"VT","support_links":[{"url":"caripark@iastate.edu","name":"Carissa Park","type":"Support email"},{"url":"https://github.com/AnimalGenome/vertebrate-trait-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VT","name":"VT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/vt.html","name":"vt","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002749","bsg-s002749"],"name":"FAIRsharing record for: Vertebrate Trait Ontology","abbreviation":"VT","url":"https://fairsharing.org/10.25504/FAIRsharing.10gr18","doi":"10.25504/FAIRsharing.10gr18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vertebrate Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to the morphology, physiology, or development of vertebrate organisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Physiology","Developmental Biology","Physiology","Biology"],"domains":["Phenotype","Morphology"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1702,"pubmed_id":23937709,"title":"The Vertebrate Trait Ontology: a controlled vocabulary for the annotation of trait data across species.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-13","authors":"Park CA,Bello SM,Smith CL,Hu ZL,Munzenmaier DH,Nigam R,Smith JR,Shimoyama M,Eppig JT,Reecy JM","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-13","created_at":"2021-09-30T08:25:30.729Z","updated_at":"2021-09-30T08:25:30.729Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1823,"relation":"undefined"}],"grants":[{"id":6736,"fairsharing_record_id":1081,"organisation_id":3070,"relation":"maintains","created_at":"2021-09-30T09:28:12.036Z","updated_at":"2021-09-30T09:28:12.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":3070,"name":"University of Iowa","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6737,"fairsharing_record_id":1081,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:12.078Z","updated_at":"2021-09-30T09:28:12.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6738,"fairsharing_record_id":1081,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:28:12.116Z","updated_at":"2021-09-30T09:28:59.425Z","grant_id":44,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"2008-35205-18765","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1082","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:58:29.497Z","metadata":{"doi":"10.25504/FAIRsharing.h9g5pe","name":"Protein Affinity Reagent eXtensible Markup Language","status":"ready","contacts":[{"contact_email":"par@psidev.info"}],"homepage":"http://www.psidev.info/index.php?q=node/281","identifier":1082,"description":"The work on PSI-PAR was initiated as part of the ProteomeBinders project and carried out by EMBL-EBI and the PSI-MI work group. The Proteomics Standards Initiative (PSI) aims to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. For detailed information on all PSI activities, please see PSI Home Page. The PSI-PAR format is a standardized means of representing protein affinity reagent data and is designed to facilitate the exchange of information between different databases and/or LIMS systems. PSI-PAR is not a proposed database structure. The PSI-PAR format consists of the PSI-MI XML2.5 schema (originally designed for molecular interactions) and the PSI-PAR controlled vocabulary. In addition, PSI-PAR documentation and examples are available on this web page. The scope of PSI-PAR is PAR and target protein production and characterization.","abbreviation":"PSI-PAR XML","support_links":[{"url":"http://www.psidev.info/node/281","type":"Help documentation"}],"year_creation":2008,"associated_tools":[{"url":"http://www.ebi.ac.uk/intact/validator/start.xhtml","name":"PSI-MI Validator 3.1.2"},{"url":"https://sourceforge.net/projects/psidev/files/PSI-MI%20XML%20lib/","name":"Java XML parser 1.0-beta4"}]},"legacy_ids":["bsg-000137","bsg-s000137"],"name":"FAIRsharing record for: Protein Affinity Reagent eXtensible Markup Language","abbreviation":"PSI-PAR XML","url":"https://fairsharing.org/10.25504/FAIRsharing.h9g5pe","doi":"10.25504/FAIRsharing.h9g5pe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The work on PSI-PAR was initiated as part of the ProteomeBinders project and carried out by EMBL-EBI and the PSI-MI work group. The Proteomics Standards Initiative (PSI) aims to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. For detailed information on all PSI activities, please see PSI Home Page. The PSI-PAR format is a standardized means of representing protein affinity reagent data and is designed to facilitate the exchange of information between different databases and/or LIMS systems. PSI-PAR is not a proposed database structure. The PSI-PAR format consists of the PSI-MI XML2.5 schema (originally designed for molecular interactions) and the PSI-PAR controlled vocabulary. In addition, PSI-PAR documentation and examples are available on this web page. The scope of PSI-PAR is PAR and target protein production and characterization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Reagent","Affinity","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","France","Germany","Netherlands","Sweden","United Kingdom","United States"],"publications":[{"id":1391,"pubmed_id":19674966,"title":"A community standard format for the representation of protein affinity reagents.","year":2009,"url":"http://doi.org/10.1074/mcp.M900185-MCP200","authors":"Gloriam DE1, Orchard S, Bertinetti D, Björling E, Bongcam-Rudloff E, Borrebaeck CA, Bourbeillon J, Bradbury AR, de Daruvar A, Dübel S, Frank R, Gibson TJ, Gold L, Haslam N, Herberg FW, Hiltke T, Hoheisel JD, Kerrien S, Koegl M, Konthur Z, Korn B, Landegren U, Montecchi-Palazzi L, Palcy S, Rodriguez H, Schweinsberg S, Sievert V, Stoevesandt O, Taussig MJ, Ueffing M, Uhlén M, van der Maarel S, Wingren C, Woollard P, Sherman DJ, Hermjakob H.","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M900185-MCP200","created_at":"2021-09-30T08:24:55.485Z","updated_at":"2021-09-30T08:24:55.485Z"}],"licence_links":[],"grants":[{"id":6740,"fairsharing_record_id":1082,"organisation_id":2377,"relation":"funds","created_at":"2021-09-30T09:28:12.172Z","updated_at":"2021-09-30T09:31:07.640Z","grant_id":1029,"is_lead":false,"saved_state":{"id":2377,"name":"ProteomeBinders European Commission","grant":"RI-CA 026008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6741,"fairsharing_record_id":1082,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:28:12.196Z","updated_at":"2021-09-30T09:30:38.756Z","grant_id":804,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"21211","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6739,"fairsharing_record_id":1082,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:12.148Z","updated_at":"2021-09-30T09:28:12.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1083","type":"fairsharing_records","attributes":{"created_at":"2020-01-08T13:16:29.000Z","updated_at":"2022-07-20T10:32:26.427Z","metadata":{"doi":"10.25504/FAIRsharing.p1dodf","name":"Global Agricultural Concept Scheme","status":"ready","contacts":[{"contact_name":"Tom Baker","contact_email":"tom@tombaker.org"}],"homepage":"https://agrisemantics.github.io/gacs-qip/","identifier":1083,"description":"The Global Agricultural Concept Scheme (GACS) is a SKOS concept scheme with concepts and related terms used in the field of agriculture, broadly defined. GACS is developed by the Food and Agriculture Organization of the United Nations (FAO), the Centre for Agriculture and Biosciences International (CABI), and the USDA National Agricultural Library (NAL), GACS was formed at the intersection of most-frequently-used concepts from their three respective thesauri -- the AGROVOC Concept Scheme, CAB Thesaurus, and the NAL Thesaurus, for which GACS provides a mapping hub. GACS is seen as an important step towards linking and integrating agricultural data of all types to address the long-term challenge of global food security.","abbreviation":"GACS","year_creation":2014},"legacy_ids":["bsg-001426","bsg-s001426"],"name":"FAIRsharing record for: Global Agricultural Concept Scheme","abbreviation":"GACS","url":"https://fairsharing.org/10.25504/FAIRsharing.p1dodf","doi":"10.25504/FAIRsharing.p1dodf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Global Agricultural Concept Scheme (GACS) is a SKOS concept scheme with concepts and related terms used in the field of agriculture, broadly defined. GACS is developed by the Food and Agriculture Organization of the United Nations (FAO), the Centre for Agriculture and Biosciences International (CABI), and the USDA National Agricultural Library (NAL), GACS was formed at the intersection of most-frequently-used concepts from their three respective thesauri -- the AGROVOC Concept Scheme, CAB Thesaurus, and the NAL Thesaurus, for which GACS provides a mapping hub. GACS is seen as an important step towards linking and integrating agricultural data of all types to address the long-term challenge of global food security.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Food Security","Agricultural Engineering","Agriculture"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2688,"pubmed_id":null,"title":"GACS Core: Creation of a Global Agricultural Concept Scheme","year":2016,"url":"http://eprints.rclis.org/30221/","authors":"Baker, Thomas and Caracciolo, Caterina and Doroszenko, Anton and Suominen, Osma","journal":"In 10th International Conference on Metadata and Semantics Research, 22 November 2016. [Conference paper]","doi":null,"created_at":"2021-09-30T08:27:30.211Z","updated_at":"2021-09-30T08:27:30.211Z"}],"licence_links":[],"grants":[{"id":6742,"fairsharing_record_id":1083,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:12.222Z","updated_at":"2021-09-30T09:28:12.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6743,"fairsharing_record_id":1083,"organisation_id":2939,"relation":"maintains","created_at":"2021-09-30T09:28:12.247Z","updated_at":"2021-09-30T09:28:12.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6744,"fairsharing_record_id":1083,"organisation_id":1179,"relation":"maintains","created_at":"2021-09-30T09:28:12.278Z","updated_at":"2021-09-30T09:28:12.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":1179,"name":"Global Open Data for Agriculture and Nutrition (GODAN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6745,"fairsharing_record_id":1083,"organisation_id":336,"relation":"maintains","created_at":"2021-09-30T09:28:12.319Z","updated_at":"2021-09-30T09:28:12.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":336,"name":"CABI","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1084","type":"fairsharing_records","attributes":{"created_at":"2015-10-06T15:00:07.000Z","updated_at":"2022-07-20T12:48:01.263Z","metadata":{"doi":"10.25504/FAIRsharing.y49yj6","name":"Herbarium information standards and protocols for interchange of data","status":"ready","contacts":[{"contact_name":"Steve Kelling","contact_email":"stk2@cornell.edu"}],"homepage":"https://github.com/tdwg/prior-standards/tree/master/hispid3","identifier":1084,"description":"The 'Herbarium Information Standards and Protocols for Interchange of Data' (HISPID) is a standard format for the interchange of electronic herbarium specimen information. HISPID has been developed by a committee of representatives from all major Australian herbaria. This interchange standard was first published in 1989, with a revised version published in 1993./nHISPID3 (version 3) is an accession-based interchange standard. Although many fields refer to attributes of the taxon they should be construed as applying to the specimen represented by the record, not to the taxon per se. The interchange of taxonomic, nomenclatural, bibliographic, typification, rare and endangered plant conservation, and other related information is not dealt with in this standard, unless it specifically refers to a particular accession (record). While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":"HISPID3","support_links":[{"url":"http://plantnet.rbgsyd.nsw.gov.au/HISCOM/HISPID/HISPID3/H3.html","type":"Help documentation"}],"year_creation":1989},"legacy_ids":["bsg-000623","bsg-s000623"],"name":"FAIRsharing record for: Herbarium information standards and protocols for interchange of data","abbreviation":"HISPID3","url":"https://fairsharing.org/10.25504/FAIRsharing.y49yj6","doi":"10.25504/FAIRsharing.y49yj6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The 'Herbarium Information Standards and Protocols for Interchange of Data' (HISPID) is a standard format for the interchange of electronic herbarium specimen information. HISPID has been developed by a committee of representatives from all major Australian herbaria. This interchange standard was first published in 1989, with a revised version published in 1993./nHISPID3 (version 3) is an accession-based interchange standard. Although many fields refer to attributes of the taxon they should be construed as applying to the specimen represented by the record, not to the taxon per se. The interchange of taxonomic, nomenclatural, bibliographic, typification, rare and endangered plant conservation, and other related information is not dealt with in this standard, unless it specifically refers to a particular accession (record). While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12277}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity","Life Science","Plant Genetics"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":6746,"fairsharing_record_id":1084,"organisation_id":2213,"relation":"maintains","created_at":"2021-09-30T09:28:12.361Z","updated_at":"2021-09-30T09:28:12.361Z","grant_id":null,"is_lead":false,"saved_state":{"id":2213,"name":"Observations and Specimens Interest Group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1085","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:01.861Z","metadata":{"doi":"10.25504/FAIRsharing.g0a7s0","name":"Physico-chemical process","status":"deprecated","contacts":[{"contact_name":"Janna Hasting","contact_email":"hastings@ebi.ac.uk"}],"homepage":"http://purl.bioontology.org/ontology/REX","identifier":1085,"description":"REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX.","abbreviation":"REX","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/REX","name":"REX","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/rex.html","name":"rex","portal":"OBO Foundry"}],"deprecation_date":"2017-11-22","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000042","bsg-s000042"],"name":"FAIRsharing record for: Physico-chemical process","abbreviation":"REX","url":"https://fairsharing.org/10.25504/FAIRsharing.g0a7s0","doi":"10.25504/FAIRsharing.g0a7s0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry","Life Science"],"domains":["Reaction data","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6747,"fairsharing_record_id":1085,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:12.399Z","updated_at":"2021-09-30T09:28:12.399Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1070","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T11:50:48.913Z","metadata":{"doi":"10.25504/FAIRsharing.qrrvyk","name":"Castor Bean Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_347:ROOT","citations":[],"identifier":1070,"description":"The Castor Bean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","abbreviation":"CO_347","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video tutorials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001124","bsg-s001124"],"name":"FAIRsharing record for: Castor Bean Ontology","abbreviation":"CO_347","url":"https://fairsharing.org/10.25504/FAIRsharing.qrrvyk","doi":"10.25504/FAIRsharing.qrrvyk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Castor Bean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Ricinus communis"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1344,"relation":"undefined"}],"grants":[{"id":6703,"fairsharing_record_id":1070,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:10.751Z","updated_at":"2021-09-30T09:28:10.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1071","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T12:04:30.000Z","updated_at":"2024-01-28T15:57:47.922Z","metadata":{"doi":"10.25504/FAIRsharing.rfLD2u","name":"Enzyme Commission Number","status":"ready","contacts":[{"contact_name":"Dr Gerard P. Moss","contact_email":"g.p.moss@qmul.ac.uk"}],"homepage":"https://www.qmul.ac.uk/sbcs/iubmb/enzyme/rules.html","citations":[],"identifier":1071,"description":"In its report in 1961, the first Enzyme Commission devised a system for enzyme classification that also serves as a basis for assigning code numbers. These code numbers, prefixed by EC, contain four elements separated by points / full stops and are now widely in use. The first number shows to which of the six main divisions (classes) the enzyme belongs and therefore identifies the class of reaction catalysed. The second number indicates the subclass, and generally contains information about the type of compound or group involved. The third figure gives the sub-subclass, which further specifies the type of reaction involved. The fourth figure is the serial number of the enzyme in its sub-subclass.","abbreviation":"EC Number","support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iubmb/enzyme/","name":"Recommendations of the Nomenclature Committee of the IUBMB","type":"Help documentation"},{"url":"https://iubmb.org/wp-content/uploads/sites/2790/2018/11/A-Brief-Guide-to-Enzyme-Classification-and-Nomenclature-rev.pdf","name":"A Brief Guide to Enzyme Nomenclature and Classification (PDF)","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Enzyme_Commission_number","name":"EC Number","type":"Wikipedia"}],"year_creation":1961,"cross_references":[{"url":"https://bioregistry.io/registry/eccode","name":"Bioregistry","portal":"Other"}],"regular_expression":"^\\d{1,2}(((\\.\\d{1,3}){1,3})|(\\.\\d+){2}\\.n\\d{1,3})?$"},"legacy_ids":["bsg-001343","bsg-s001343"],"name":"FAIRsharing record for: Enzyme Commission Number","abbreviation":"EC Number","url":"https://fairsharing.org/10.25504/FAIRsharing.rfLD2u","doi":"10.25504/FAIRsharing.rfLD2u","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In its report in 1961, the first Enzyme Commission devised a system for enzyme classification that also serves as a basis for assigning code numbers. These code numbers, prefixed by EC, contain four elements separated by points / full stops and are now widely in use. The first number shows to which of the six main divisions (classes) the enzyme belongs and therefore identifies the class of reaction catalysed. The second number indicates the subclass, and generally contains information about the type of compound or group involved. The third figure gives the sub-subclass, which further specifies the type of reaction involved. The fourth figure is the serial number of the enzyme in its sub-subclass.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16723}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Biochemistry","Enzymology"],"domains":["Enzyme Commission number","Centrally registered identifier","Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6704,"fairsharing_record_id":1071,"organisation_id":1533,"relation":"maintains","created_at":"2021-09-30T09:28:10.793Z","updated_at":"2021-09-30T09:28:10.793Z","grant_id":null,"is_lead":true,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1072","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-05-16T10:21:31.304Z","metadata":{"doi":"10.25504/FAIRsharing.9gx9at","name":"Gene Ontology Annotation File Format 1.0","status":"deprecated","contacts":[],"homepage":"https://github.com/geneontology/geneontology.github.io/blob/e6e554c42cf75312784ecdbca44f858633990e99/_docs/go-annotation-file-gaf-format-10.md","citations":[],"identifier":1072,"description":"Annotation data is submitted to the GO Consortium in the form of gene association files, or GAFs. This standard lays out the format specification for GAF 1.0, however please note that this version of GAF is no longer supported and should not be used.","abbreviation":"GO GAF 1.0","support_links":[{"url":"http://geneontology.org/form/contact-go","type":"Contact form"},{"url":"http://geneontology.org/faq-page","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1999,"deprecation_date":"2022-05-10","deprecation_reason":"This version of GAF is no longer supported and has been deprecated since June 2010. Gene Ontology strongly discourage its use."},"legacy_ids":["bsg-000230","bsg-s000230"],"name":"FAIRsharing record for: Gene Ontology Annotation File Format 1.0","abbreviation":"GO GAF 1.0","url":"https://fairsharing.org/10.25504/FAIRsharing.9gx9at","doi":"10.25504/FAIRsharing.9gx9at","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Annotation data is submitted to the GO Consortium in the form of gene association files, or GAFs. This standard lays out the format specification for GAF 1.0, however please note that this version of GAF is no longer supported and should not be used.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2348,"relation":"undefined"}],"grants":[{"id":6706,"fairsharing_record_id":1072,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:10.936Z","updated_at":"2021-09-30T09:31:27.246Z","grant_id":1175,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U41HG002273-14","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9492,"fairsharing_record_id":1072,"organisation_id":1099,"relation":"maintains","created_at":"2022-05-05T13:13:30.936Z","updated_at":"2022-05-05T13:13:30.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1073","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.955Z","metadata":{"doi":"10.25504/FAIRsharing.8qcbs0","name":"National Drug Data File","status":"uncertain","contacts":[{"contact_name":"First DataBank Customer Support","contact_email":"cs@firstdatabank.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1424","identifier":1073,"description":"The National Drug Data File vocabulary supports clinical research and patient care. Please note that we have been unable to confirm the current status of NDDF and its relationship with FDB MedKnowledge. Until that time, the FAIRsharing team has marked this resource as having an Uncertain status. Please get in touch if you have any information.","abbreviation":"NDDF","support_links":[{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/2010AA/NDDF/index.html","name":"2010AA National Drug Data File Source Information","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NDDF","name":"NDDF","portal":"BioPortal"}]},"legacy_ids":["bsg-002649","bsg-s002649"],"name":"FAIRsharing record for: National Drug Data File","abbreviation":"NDDF","url":"https://fairsharing.org/10.25504/FAIRsharing.8qcbs0","doi":"10.25504/FAIRsharing.8qcbs0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Drug Data File vocabulary supports clinical research and patient care. Please note that we have been unable to confirm the current status of NDDF and its relationship with FDB MedKnowledge. Until that time, the FAIRsharing team has marked this resource as having an Uncertain status. Please get in touch if you have any information.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11721}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Medicinal Chemistry"],"domains":["Drug","Chemical entity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":1542,"relation":"undefined"}],"grants":[{"id":6707,"fairsharing_record_id":1073,"organisation_id":1019,"relation":"maintains","created_at":"2021-09-30T09:28:10.973Z","updated_at":"2021-09-30T09:28:10.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":1019,"name":"First Databank (FDB), San Francisco, CA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1077","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T10:48:41.833Z","metadata":{"doi":"10.25504/FAIRsharing.dxx0c","name":"Sorghum Ontology","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_324:ROOT","citations":[],"identifier":1077,"description":"The Sorghum Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_324","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001097","bsg-s001097"],"name":"FAIRsharing record for: Sorghum Ontology","abbreviation":"CO_324","url":"https://fairsharing.org/10.25504/FAIRsharing.dxx0c","doi":"10.25504/FAIRsharing.dxx0c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sorghum Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food","Phenotype"],"taxonomies":["Sorghum bicolor"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1810,"relation":"undefined"}],"grants":[{"id":6712,"fairsharing_record_id":1077,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:28:11.173Z","updated_at":"2021-09-30T09:28:11.173Z","grant_id":null,"is_lead":true,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9303,"fairsharing_record_id":1077,"organisation_id":485,"relation":"funds","created_at":"2022-04-11T12:07:29.005Z","updated_at":"2022-04-11T12:07:29.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1078","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:15.000Z","updated_at":"2022-07-20T10:57:10.652Z","metadata":{"doi":"10.25504/FAIRsharing.ehe3yp","name":"Pigeon Pea Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"https://cropontology.org/term/CO_341:ROOT","citations":[],"identifier":1078,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Pigeon Pea Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_341","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000723","bsg-s000723"],"name":"FAIRsharing record for: Pigeon Pea Ontology","abbreviation":"CO_341","url":"https://fairsharing.org/10.25504/FAIRsharing.ehe3yp","doi":"10.25504/FAIRsharing.ehe3yp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Pigeon Pea Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Cajanus cajan"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":669,"relation":"undefined"}],"grants":[{"id":6713,"fairsharing_record_id":1078,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:28:11.206Z","updated_at":"2021-09-30T09:28:11.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6714,"fairsharing_record_id":1078,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:28:11.239Z","updated_at":"2021-09-30T09:28:11.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1079","type":"fairsharing_records","attributes":{"created_at":"2018-03-11T20:31:40.000Z","updated_at":"2022-07-20T10:49:25.829Z","metadata":{"doi":"10.25504/FAIRsharing.af5655","name":"Beet Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_333:ROOT","citations":[],"identifier":1079,"description":"This ontology was built as part of the AKER project. It describes variables used in beet phenotyping (experimental properties and measurement scale) for each institution and breeding company within the project. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Beet Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_333","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help page","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001139","bsg-s001139"],"name":"FAIRsharing record for: Beet Ontology","abbreviation":"CO_333","url":"https://fairsharing.org/10.25504/FAIRsharing.af5655","doi":"10.25504/FAIRsharing.af5655","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology was built as part of the AKER project. It describes variables used in beet phenotyping (experimental properties and measurement scale) for each institution and breeding company within the project. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Beet Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16736}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Plant Breeding","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Beta vulgaris"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1771,"relation":"undefined"}],"grants":[{"id":6715,"fairsharing_record_id":1079,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:11.273Z","updated_at":"2021-09-30T09:28:11.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1080","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-07-20T12:28:42.942Z","metadata":{"doi":"10.25504/FAIRsharing.8ktkqy","name":"Biological Collections Ontology","status":"ready","contacts":[{"contact_name":"Ramona Walls","contact_email":"rwalls2008@gmail.com"}],"homepage":"https://github.com/BiodiversityOntologies/bco","citations":[{"doi":"10.1371/journal.pone.0089606","pubmed_id":24595056,"publication_id":2732}],"identifier":1080,"description":"The Biological Collections Ontology (BCO) supports the interoperability of biodiversity data, including data on museum collections, environmental/metagenomic samples, and ecological surveys. The BCO covers distinctions between individuals, organisms, voucher specimens, lots, samples, the relations between these entities, and the processes governing the creation and use of \"samples\". Also within scope are properties including collector, location, time, storage environment, containers, institution, and collection identifiers.","abbreviation":"BCO","support_links":[{"url":"https://groups.google.com/forum/?fromgroups#!forum/bco-discuss","name":"BCO Discuss List","type":"Forum"},{"url":"https://www.youtube.com/watch?v=j37IH9PIeaA","name":"Video Tutorial","type":"Video"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BCO","name":"BCO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bco.html","name":"bco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000827","bsg-s000827"],"name":"FAIRsharing record for: Biological Collections Ontology","abbreviation":"BCO","url":"https://fairsharing.org/10.25504/FAIRsharing.8ktkqy","doi":"10.25504/FAIRsharing.8ktkqy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biological Collections Ontology (BCO) supports the interoperability of biodiversity data, including data on museum collections, environmental/metagenomic samples, and ecological surveys. The BCO covers distinctions between individuals, organisms, voucher specimens, lots, samples, the relations between these entities, and the processes governing the creation and use of \"samples\". Also within scope are properties including collector, location, time, storage environment, containers, institution, and collection identifiers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Metagenomics","Taxonomy","Ecology","Biodiversity"],"domains":["Taxonomic classification","Biological sample annotation","Environmental material","Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Denmark","Germany","Norway","United Kingdom","United States"],"publications":[{"id":2732,"pubmed_id":24595056,"title":"Semantics in support of biodiversity knowledge discovery: an introduction to the biological collections ontology and related ontologies.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0089606","authors":"Walls RL,Deck J,Guralnick R,Baskauf S,Beaman R,Blum S,Bowers S,Buttigieg PL,Davies N,Endresen D,Gandolfo MA,Hanner R,Janning A,Krishtalka L,Matsunaga A,Midford P,Morrison N,O Tuama E,Schildhauer M,Smith B,Stucky BJ,Thomer A,Wieczorek J,Whitacre J,Wooley J","journal":"PLoS One","doi":"10.1371/journal.pone.0089606","created_at":"2021-09-30T08:27:35.514Z","updated_at":"2021-09-30T08:27:35.514Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1780,"relation":"undefined"}],"grants":[{"id":6716,"fairsharing_record_id":1080,"organisation_id":3025,"relation":"maintains","created_at":"2021-09-30T09:28:11.305Z","updated_at":"2021-09-30T09:28:11.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6718,"fairsharing_record_id":1080,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:11.355Z","updated_at":"2021-09-30T09:28:11.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6722,"fairsharing_record_id":1080,"organisation_id":3013,"relation":"maintains","created_at":"2021-09-30T09:28:11.549Z","updated_at":"2021-09-30T09:28:11.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":3013,"name":"University of Arizona, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6724,"fairsharing_record_id":1080,"organisation_id":614,"relation":"maintains","created_at":"2021-09-30T09:28:11.636Z","updated_at":"2021-09-30T09:28:11.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":614,"name":"Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6727,"fairsharing_record_id":1080,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:28:11.729Z","updated_at":"2021-09-30T09:28:11.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6730,"fairsharing_record_id":1080,"organisation_id":673,"relation":"maintains","created_at":"2021-09-30T09:28:11.805Z","updated_at":"2021-09-30T09:28:11.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":673,"name":"Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6734,"fairsharing_record_id":1080,"organisation_id":3068,"relation":"maintains","created_at":"2021-09-30T09:28:11.957Z","updated_at":"2021-09-30T09:28:11.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":3068,"name":"University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6717,"fairsharing_record_id":1080,"organisation_id":1094,"relation":"maintains","created_at":"2021-09-30T09:28:11.329Z","updated_at":"2021-09-30T09:28:11.329Z","grant_id":null,"is_lead":false,"saved_state":{"id":1094,"name":"GBIF Norway","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6719,"fairsharing_record_id":1080,"organisation_id":3055,"relation":"maintains","created_at":"2021-09-30T09:28:11.385Z","updated_at":"2021-09-30T09:28:11.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6721,"fairsharing_record_id":1080,"organisation_id":56,"relation":"maintains","created_at":"2021-09-30T09:28:11.466Z","updated_at":"2021-09-30T09:28:11.466Z","grant_id":null,"is_lead":false,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6723,"fairsharing_record_id":1080,"organisation_id":631,"relation":"maintains","created_at":"2021-09-30T09:28:11.594Z","updated_at":"2021-09-30T09:28:11.594Z","grant_id":null,"is_lead":true,"saved_state":{"id":631,"name":"Cyverse, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6725,"fairsharing_record_id":1080,"organisation_id":2579,"relation":"maintains","created_at":"2021-09-30T09:28:11.673Z","updated_at":"2021-09-30T09:28:11.673Z","grant_id":null,"is_lead":false,"saved_state":{"id":2579,"name":"Smithsonian National Museum of Natural History, Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6726,"fairsharing_record_id":1080,"organisation_id":338,"relation":"maintains","created_at":"2021-09-30T09:28:11.706Z","updated_at":"2021-09-30T09:28:11.706Z","grant_id":null,"is_lead":false,"saved_state":{"id":338,"name":"California Academy of Sciences, San Francisco, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6728,"fairsharing_record_id":1080,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:28:11.754Z","updated_at":"2021-09-30T09:28:11.754Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6729,"fairsharing_record_id":1080,"organisation_id":3028,"relation":"maintains","created_at":"2021-09-30T09:28:11.780Z","updated_at":"2021-09-30T09:28:11.780Z","grant_id":null,"is_lead":false,"saved_state":{"id":3028,"name":"University of California Berkeley, Berkeley, California, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6731,"fairsharing_record_id":1080,"organisation_id":1188,"relation":"maintains","created_at":"2021-09-30T09:28:11.836Z","updated_at":"2021-09-30T09:28:11.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":1188,"name":"Gonzaga University, Spokane, Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6732,"fairsharing_record_id":1080,"organisation_id":229,"relation":"maintains","created_at":"2021-09-30T09:28:11.877Z","updated_at":"2021-09-30T09:28:11.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":229,"name":"Biodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6733,"fairsharing_record_id":1080,"organisation_id":1961,"relation":"maintains","created_at":"2021-09-30T09:28:11.919Z","updated_at":"2021-09-30T09:28:11.919Z","grant_id":null,"is_lead":false,"saved_state":{"id":1961,"name":"National Center for Ecological Analysis and Synthesis (NCEAS), Santa Barbara, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6735,"fairsharing_record_id":1080,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:28:11.994Z","updated_at":"2021-09-30T09:28:11.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9166,"fairsharing_record_id":1080,"organisation_id":1622,"relation":"maintains","created_at":"2022-04-11T12:07:18.790Z","updated_at":"2022-04-11T12:07:18.790Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1089","type":"fairsharing_records","attributes":{"created_at":"2018-03-09T08:36:02.000Z","updated_at":"2021-11-24T13:17:42.358Z","metadata":{"name":"EOSC Datasets Minimum Information","status":"in_development","contacts":[{"contact_name":"Rafael Jimenez","contact_email":"rafael.jimenez@elixir-europe.org"}],"homepage":"https://eoscpilot.eu/sites/default/files/eoscpilot-d6.3.pdf","identifier":1089,"description":"These guidelines will define the minimum metadata properties that should be present across existing data models, and which should be exposed by data resources, facilitating both users and programmatic services to locate and access data. The EDMI metadata guidelines thus aim to establish and encourage the adoption of a common and minimum set of metadata properties across different scientific domains, leveraging existing data models and access interfaces. The EDMI metadata guidelines do not aim to be a new data model to describe datasets, but rather to complement existing data models.","abbreviation":"EDMI-Functional","year_creation":2018},"legacy_ids":["bsg-001135","bsg-s001135"],"name":"FAIRsharing record for: EOSC Datasets Minimum Information","abbreviation":"EDMI-Functional","url":"https://fairsharing.org/fairsharing_records/1089","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines will define the minimum metadata properties that should be present across existing data models, and which should be exposed by data resources, facilitating both users and programmatic services to locate and access data. The EDMI metadata guidelines thus aim to establish and encourage the adoption of a common and minimum set of metadata properties across different scientific domains, leveraging existing data models and access interfaces. The EDMI metadata guidelines do not aim to be a new data model to describe datasets, but rather to complement existing data models.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18243},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11314},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12946},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13328},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13339}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Computer Science","Subject Agnostic"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1090","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2024-02-28T13:54:56.769Z","metadata":{"doi":"10.25504/FAIRsharing.jtz0dv","name":"Diabetes Mellitus Treatment Ontology","status":"deprecated","contacts":[{"contact_name":"Shaker El-Sappagh","contact_email":"shaker_elsapagh@yahoo.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/DMTO","citations":[{"doi":"10.1186/s13326-018-0176-y","pubmed_id":29409535,"publication_id":2343}],"identifier":1090,"description":"The Diabetes Mellitus Treatment Ontology (DMTO) was created to model type 2 diabetes mellitus (T2DM) treatment. It models T2DM patients’ current conditions, previous profiles, and T2DM-related aspects, including complications, symptoms, lab tests, interactions, treatment plan (TP) frameworks, and glucose-related diseases and medications.","abbreviation":"DMTO","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DMTO","name":"DMTO","portal":"BioPortal"}],"deprecation_date":"2024-02-28","deprecation_reason":"This resource has not been updated on BioPortal since 2017, we cannot find an alternative homepage, and the contacts for the resource have not responded to our enquiries, therefore we consider this resource deprecated. Please get in touch with us if you have information about the current status of this resource."},"legacy_ids":["bsg-000782","bsg-s000782"],"name":"FAIRsharing record for: Diabetes Mellitus Treatment Ontology","abbreviation":"DMTO","url":"https://fairsharing.org/10.25504/FAIRsharing.jtz0dv","doi":"10.25504/FAIRsharing.jtz0dv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Diabetes Mellitus Treatment Ontology (DMTO) was created to model type 2 diabetes mellitus (T2DM) treatment. It models T2DM patients’ current conditions, previous profiles, and T2DM-related aspects, including complications, symptoms, lab tests, interactions, treatment plan (TP) frameworks, and glucose-related diseases and medications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Diabetology"],"domains":["Diabetes mellitus","Treatment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Egypt","South Korea","United States"],"publications":[{"id":2343,"pubmed_id":29409535,"title":"DMTO: a realistic ontology for standard diabetes mellitus treatment.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0176-y","authors":"El-Sappagh S,Kwak D,Ali F,Kwak KS","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0176-y","created_at":"2021-09-30T08:26:47.913Z","updated_at":"2021-09-30T08:26:47.913Z"}],"licence_links":[],"grants":[{"id":6761,"fairsharing_record_id":1090,"organisation_id":1350,"relation":"maintains","created_at":"2021-09-30T09:28:12.999Z","updated_at":"2021-09-30T09:28:12.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":1350,"name":"Inha University, Nam-gu, Incheon, South Korea","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6759,"fairsharing_record_id":1090,"organisation_id":201,"relation":"maintains","created_at":"2021-09-30T09:28:12.929Z","updated_at":"2021-09-30T09:28:12.929Z","grant_id":null,"is_lead":false,"saved_state":{"id":201,"name":"Benha University, Meit Ghamr - Benha, Banha, Egypt","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6760,"fairsharing_record_id":1090,"organisation_id":1629,"relation":"maintains","created_at":"2021-09-30T09:28:12.968Z","updated_at":"2021-09-30T09:28:12.968Z","grant_id":null,"is_lead":false,"saved_state":{"id":1629,"name":"Kean University, Union, NJ, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1091","type":"fairsharing_records","attributes":{"created_at":"2017-11-30T12:55:16.000Z","updated_at":"2022-12-07T16:03:02.027Z","metadata":{"doi":"10.25504/FAIRsharing.7b0fc3","name":"ThermoML","status":"ready","contacts":[{"contact_name":"Kenneth Kroenlein","contact_email":"kenneth.kroenlein@nist.gov"}],"homepage":"https://www.nist.gov/mml/acmd/trc/thermoml","identifier":1091,"description":"ThermoML is an XML-based IUPAC standard for storage and exchange of experimental thermophysical and thermochemical property data, first developed as an IUPAC project in 2006, and extended in 2011. At present, ThermoML is being used by a number of process design packages as a data input format, as well as more broadly on the Internet as a data dissemination format.","abbreviation":"ThermoML","support_links":[{"url":"https://www.facebook.com/usnistgov/","name":"facebook","type":"Facebook"},{"url":"https://www.youtube.com/user/USNISTGOV","name":"Youtube","type":"Video"},{"url":"https://www.nist.gov/about-nist/contact-us","name":"Contact form","type":"Contact form"},{"url":"https://www.iupac.org/publications/pac/83/10/1937/","name":"IUPAC Standard Document","type":"Help documentation"},{"url":"https://twitter.com/usnistgov","type":"Twitter"}],"year_creation":2006,"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010422","name":"re3data:r3d100010422","portal":"re3data"}]},"legacy_ids":["bsg-001092","bsg-s001092"],"name":"FAIRsharing record for: ThermoML","abbreviation":"ThermoML","url":"https://fairsharing.org/10.25504/FAIRsharing.7b0fc3","doi":"10.25504/FAIRsharing.7b0fc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ThermoML is an XML-based IUPAC standard for storage and exchange of experimental thermophysical and thermochemical property data, first developed as an IUPAC project in 2006, and extended in 2011. At present, ThermoML is being used by a number of process design packages as a data input format, as well as more broadly on the Internet as a data dissemination format.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11737}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Thermodynamics","Chemistry","Natural Science","Chemical Engineering"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1956,"pubmed_id":null,"title":"Update on ThermoML","year":2017,"url":"http://doi.org/10.1515/ci-2017-0314","authors":"Kenneth Kroenlein","journal":"Chemistry International","doi":"10.1515/ci-2017-0314","created_at":"2021-09-30T08:26:00.130Z","updated_at":"2021-09-30T08:26:00.130Z"},{"id":2415,"pubmed_id":null,"title":"XML-Based IUPAC standard for experimental, predicted, and critically evaluated thermodynamic property data storage and capture (ThermoML)","year":2006,"url":"http://doi.org/10.1351/pac200678030541","authors":"Frenkel,M.; Chirico, R.D.: Diky,V,; Dong, Q.; Marsh,K.N.; Dymond,J.H.; Wakeham,W.A.; Stein, S.E.; Koenigsberger E.; Goodwin, A.R.","journal":"Pure and Applied Chemistry, Vol 78 (3), 541-612,","doi":"10.1351/pac200678030541","created_at":"2021-09-30T08:26:56.428Z","updated_at":"2021-09-30T08:26:56.428Z"}],"licence_links":[],"grants":[{"id":6762,"fairsharing_record_id":1091,"organisation_id":2824,"relation":"maintains","created_at":"2021-09-30T09:28:13.027Z","updated_at":"2021-09-30T09:28:13.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":2824,"name":"Thermodynamics Research Center (TRC), National Institute of Standards and Technology (NIST)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1092","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:45:20.000Z","updated_at":"2022-07-20T12:44:43.886Z","metadata":{"doi":"10.25504/FAIRsharing.c7f4d7","name":"Vitis Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_356:ROOT","citations":[],"identifier":1092,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Vitis Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_356","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"},{"url":"https://urgi-git.versailles.inra.fr/urgi-is/ontologies/tree/develop/Vitis","name":"Vitis Git Repository","type":"Help documentation"}]},"legacy_ids":["bsg-001134","bsg-s001134"],"name":"FAIRsharing record for: Vitis Ontology","abbreviation":"CO_356","url":"https://fairsharing.org/10.25504/FAIRsharing.c7f4d7","doi":"10.25504/FAIRsharing.c7f4d7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Vitis Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Vitis"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1595,"relation":"undefined"}],"grants":[{"id":6764,"fairsharing_record_id":1092,"organisation_id":3181,"relation":"maintains","created_at":"2021-09-30T09:28:13.081Z","updated_at":"2021-09-30T09:28:13.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":3181,"name":"Versailles-Grignon Research Centre, INRA, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6763,"fairsharing_record_id":1092,"organisation_id":1198,"relation":"maintains","created_at":"2021-09-30T09:28:13.058Z","updated_at":"2021-09-30T09:28:13.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":1198,"name":"Grand-Est - Colmar Research Centre, INRAE, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1093","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:34:52.000Z","updated_at":"2022-07-20T12:25:29.647Z","metadata":{"doi":"10.25504/FAIRsharing.1c1738","name":"Sugar Kelp Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_360:ROOT","citations":[],"identifier":1093,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sugar Kelp Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_360","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}]},"legacy_ids":["bsg-001133","bsg-s001133"],"name":"FAIRsharing record for: Sugar Kelp Trait Ontology","abbreviation":"CO_360","url":"https://fairsharing.org/10.25504/FAIRsharing.1c1738","doi":"10.25504/FAIRsharing.1c1738","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sugar Kelp Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Marine environment","Phenotype"],"taxonomies":["Saccharina latissima"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1468,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1074","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2022-07-20T12:52:35.506Z","metadata":{"doi":"10.25504/FAIRsharing.y0kqgt","name":"Library of Congress Medium of Performance Thesaurus for Music","status":"ready","homepage":"https://id.loc.gov/authorities/performanceMediums.html","identifier":1074,"description":"The Library of Congress Medium of Performance Thesaurus (LCMPT) for Music is a stand-alone vocabulary that provides terminology to describe the instruments, voices, etc., used in the performance of musical works. The core terms in LCMPT are based chiefly on existing LC subject headings (LCSH), but some additional terms that do not already appear in LCSH have also been included.","abbreviation":"LCMPT","support_links":[{"url":"https://id.loc.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://id.loc.gov/techcenter/searching.html","name":"Search Help","type":"Help documentation"},{"url":"https://id.loc.gov/techcenter/","name":"Download Help","type":"Help documentation"},{"url":"https://listserv.loc.gov/cgi-bin/wa?A0=ID","name":"LOC Linked Data Mailing List","type":"Mailing list"},{"url":"https://www.loc.gov/aba/cataloging/subject/","name":"About LCSH","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001080","bsg-s001080"],"name":"FAIRsharing record for: Library of Congress Medium of Performance Thesaurus for Music","abbreviation":"LCMPT","url":"https://fairsharing.org/10.25504/FAIRsharing.y0kqgt","doi":"10.25504/FAIRsharing.y0kqgt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Medium of Performance Thesaurus (LCMPT) for Music is a stand-alone vocabulary that provides terminology to describe the instruments, voices, etc., used in the performance of musical works. The core terms in LCMPT are based chiefly on existing LC subject headings (LCSH), but some additional terms that do not already appear in LCSH have also been included.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fine Arts","Musicology"],"domains":["Classification"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":888,"relation":"undefined"}],"grants":[{"id":6708,"fairsharing_record_id":1074,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:11.010Z","updated_at":"2021-09-30T09:28:11.010Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1075","type":"fairsharing_records","attributes":{"created_at":"2020-02-26T13:33:24.000Z","updated_at":"2022-02-08T10:31:22.839Z","metadata":{"doi":"10.25504/FAIRsharing.efb730","name":"Research Information Systems File Format","status":"ready","homepage":"https://web.archive.org/web/20170707033254/http://www.researcherid.com/resources/html/help_upload.htm","identifier":1075,"description":"A Research Information Systems (RIS) file is a plain text file that can contain multiple references. RIS files can be exported from reference software such as EndNote and Reference Manager. Each reference is composed of a variable number of fields; and each field is preceded by a six-character label or \"tag.\" Some tags are specific only to certain reference types. Each tag must be in a specific format, and certain other rules apply to all tags. Please note that no current homepage or contact for this format can be found. Please get in touch if you can provide any information.","abbreviation":"RIS","support_links":[{"url":"https://en.wikipedia.org/wiki/RIS_(file_format)","name":"Wikipedia Entry","type":"Wikipedia"}]},"legacy_ids":["bsg-001454","bsg-s001454"],"name":"FAIRsharing record for: Research Information Systems File Format","abbreviation":"RIS","url":"https://fairsharing.org/10.25504/FAIRsharing.efb730","doi":"10.25504/FAIRsharing.efb730","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A Research Information Systems (RIS) file is a plain text file that can contain multiple references. RIS files can be exported from reference software such as EndNote and Reference Manager. Each reference is composed of a variable number of fields; and each field is preceded by a six-character label or \"tag.\" Some tags are specific only to certain reference types. Each tag must be in a specific format, and certain other rules apply to all tags. Please note that no current homepage or contact for this format can be found. Please get in touch if you can provide any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Software Engineering"],"domains":["Citation","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1076","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:47:37.125Z","metadata":{"doi":"10.25504/FAIRsharing.ah5f2f","name":"Minimal Information for Neural ElectroMagnetic Ontologies","status":"deprecated","contacts":[{"contact_name":"Gwen A. Frishkoff","contact_email":"gfrishkoff@gsu.edu"}],"homepage":"http://nemo.nic.uoregon.edu/wiki/NEMO","citations":[],"identifier":1076,"description":"Minimal Information for Neural ElectroMagnetic Ontologies (MINEMO; formerly \"MIEME\" or \"MINIerp\") is the minimal set of experiment meta-data that is required for datasets that are used in the NEMO project. MINEMO extends MINI (Minimal Information for Neuroscience Investigations)to the ERP domain. Checklist terms are explicated in NEMO, a formal ontology that is designed to support ERP data sharing and integration. MINEMO is also linked to an ERP database and web application (the NEMO portal). Users upload their data and enter MINEMO information through the portal. FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","abbreviation":"MINEMO","year_creation":2010,"deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000166","bsg-s000166"],"name":"FAIRsharing record for: Minimal Information for Neural ElectroMagnetic Ontologies","abbreviation":"MINEMO","url":"https://fairsharing.org/10.25504/FAIRsharing.ah5f2f","doi":"10.25504/FAIRsharing.ah5f2f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal Information for Neural ElectroMagnetic Ontologies (MINEMO; formerly \"MIEME\" or \"MINIerp\") is the minimal set of experiment meta-data that is required for datasets that are used in the NEMO project. MINEMO extends MINI (Minimal Information for Neuroscience Investigations)to the ERP domain. Checklist terms are explicated in NEMO, a formal ontology that is designed to support ERP data sharing and integration. MINEMO is also linked to an ERP database and web application (the NEMO portal). Users upload their data and enter MINEMO information through the portal. FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11606},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12109}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Neurobiology","Electromagnetism","Life Science","Biomedical Science","Electrophysiology"],"domains":["Data acquisition","Neuron","Cognition","Data transformation","Brain"],"taxonomies":["All"],"user_defined_tags":["Electromagnetism"],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":1250,"pubmed_id":22180824,"title":"Minimal Information for Neural Electromagnetic Ontologies (MINEMO): A standards-compliant method for analysis and integration of event-related potentials (ERP) data.","year":2011,"url":"http://doi.org/10.4056/sigs.2025347","authors":"Frishkoff G,Sydes J,Mueller K,Frank R,Curran T,Connolly J,Kilborn K,Molfese D,Perfetti C,Malony A","journal":"Stand Genomic Sci","doi":"10.4056/sigs.2025347","created_at":"2021-09-30T08:24:39.433Z","updated_at":"2021-09-30T08:24:39.433Z"},{"id":1846,"pubmed_id":null,"title":"Ontology-based Analysis of Event-Related Potentials","year":2011,"url":"http://doi.org/10.1.1.352.9697","authors":"Frishkoff, G., Frank, R., \u0026 LePendu, P.","journal":"Proceedings of the International Conference on Biomedical Ontologies (ICBO)","doi":"10.1.1.352.9697","created_at":"2021-09-30T08:25:47.306Z","updated_at":"2021-09-30T08:25:47.306Z"},{"id":1860,"pubmed_id":null,"title":"Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials","year":2009,"url":"http://doi.org/10.1038/npre.2009.3458.1","authors":"Frishkoff, G., Le Pendu, P., Frank, R., Liu, H., \u0026 Dou, D.","journal":"Proceedings of the International Conference on Biomedical Ontologies (ICBO)","doi":"10.1038/npre.2009.3458.1","created_at":"2021-09-30T08:25:48.957Z","updated_at":"2021-09-30T08:25:48.957Z"}],"licence_links":[],"grants":[{"id":6709,"fairsharing_record_id":1076,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:11.052Z","updated_at":"2021-09-30T09:28:11.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6710,"fairsharing_record_id":1076,"organisation_id":3110,"relation":"maintains","created_at":"2021-09-30T09:28:11.094Z","updated_at":"2021-09-30T09:28:11.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1086","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T12:07:03.000Z","updated_at":"2022-12-13T09:38:02.177Z","metadata":{"doi":"10.25504/FAIRsharing.mIJ56E","name":"Vocabularies in the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/Vocabularies.html","citations":[{"publication_id":2966}],"identifier":1086,"description":"The Vocabularies in the Virtual Observatory (VO) document specifies a standard format for vocabularies based on the W3C's Resource Description Framework (RDF) and Simple Knowledge Organization System (SKOS). By adopting a standard and simple format, the IVOA will permit different groups to create and maintain their own specialised vocabularies while letting the rest of the astronomical community access, use, and combine them. The use of current, open standards ensures that VO applications will be able to tap into resources of the growing semantic web. The document provides several examples of useful astronomical vocabularies.","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/Documents/REC/Semantics/Vocabularies-20091007.html","name":"View Standard","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-001206","bsg-s001206"],"name":"FAIRsharing record for: Vocabularies in the Virtual Observatory","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.mIJ56E","doi":"10.25504/FAIRsharing.mIJ56E","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vocabularies in the Virtual Observatory (VO) document specifies a standard format for vocabularies based on the W3C's Resource Description Framework (RDF) and Simple Knowledge Organization System (SKOS). By adopting a standard and simple format, the IVOA will permit different groups to create and maintain their own specialised vocabularies while letting the rest of the astronomical community access, use, and combine them. The use of current, open standards ensures that VO applications will be able to tap into resources of the growing semantic web. The document provides several examples of useful astronomical vocabularies.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11452}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2966,"pubmed_id":null,"title":"Vocabularies in the Virtual Observatory Version 1.19","year":2009,"url":"http://dx.doi.org/10.5479/ADS/bib/2009ivoa.spec.1007G","authors":"Gray, Alasdair J. G.; Gray, Norman; Hessman, Frederic V.; Preite Martinez, Andrea; Derriere, Sébastien; Linde, Tony; Seaman, Rob; Thomas, Brian","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.491Z","updated_at":"2021-09-30T08:28:05.491Z"}],"licence_links":[],"grants":[{"id":6748,"fairsharing_record_id":1086,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:12.432Z","updated_at":"2021-09-30T09:28:12.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6749,"fairsharing_record_id":1086,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:28:12.470Z","updated_at":"2021-09-30T09:28:12.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1087","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:08.725Z","metadata":{"doi":"10.25504/FAIRsharing.cwf4py","name":"Synthetic Biology Open Language","status":"ready","contacts":[{"contact_name":"SBOL Editors","contact_email":"editors@sbolstandard.org"}],"homepage":"https://sbolstandard.org/","citations":[{"doi":"10.1515/jib-2021-0013","pubmed_id":null,"publication_id":3184}],"identifier":1087,"description":"The Synthetic Biology Open Language (SBOL) is a standard used for the in silico representation of genetic designs. SBOL is designed to allow synthetic biologists and genetic engineers to electronically exchange designs, send and receive genetic designs to and from biofabrication centres, facilitate storage of genetic designs in repositories, and embed genetic designs in publications.","abbreviation":"SBOL","support_links":[{"url":"https://sbolstandard.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"https://sbolstandard.org/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/g/sbol-dev","name":"SBOL Developer List","type":"Forum"},{"url":"https://github.com/SynBioDex/SBOL-specification/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://sbolstandard.org/datamodel-examples/","name":"Examples","type":"Help documentation"},{"url":"https://github.com/SynBioDex/SBOL-specification","name":"Github Repository","type":"Github"},{"url":"https://sbolstandard.org/datamodel-about/","name":"About","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"https://validator.sbolstandard.org/","name":"SBOL Validator"},{"url":"https://converter.sbolstandard.org/","name":"SBOL Converter"},{"url":"https://sbolstandard.org/applications/","name":"Synthetic Biology Software Tools"},{"url":"https://sbolstandard.org/libraries/","name":"SBOL Libraries"}]},"legacy_ids":["bsg-000547","bsg-s000547"],"name":"FAIRsharing record for: Synthetic Biology Open Language","abbreviation":"SBOL","url":"https://fairsharing.org/10.25504/FAIRsharing.cwf4py","doi":"10.25504/FAIRsharing.cwf4py","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Synthetic Biology Open Language (SBOL) is a standard used for the in silico representation of genetic designs. SBOL is designed to allow synthetic biologists and genetic engineers to electronically exchange designs, send and receive genetic designs to and from biofabrication centres, facilitate storage of genetic designs in repositories, and embed genetic designs in publications.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10850},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11880},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12049},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12217},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16993}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Synthetic Biology"],"domains":["DNA sequence data","Sequence annotation","Nucleic acid design","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","India","Japan","Latvia","Panama","Switzerland","United Kingdom","United States"],"publications":[{"id":658,"pubmed_id":24896221,"title":"Proposed data model for the next version of the Synthetic Biology Open Language","year":2014,"url":"http://doi.org/10.1021/sb500176h","authors":"Roehner N, Oberortner E, Pocock M, Beal J, Clancy K, Madsen C, Misirli G, Wipat A, Sauro H, Myers CJ","journal":"ACS Synth Biol.","doi":"10.1021/sb500176h","created_at":"2021-09-30T08:23:32.644Z","updated_at":"2021-09-30T08:23:32.644Z"},{"id":2745,"pubmed_id":24911500,"title":"The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology.","year":2014,"url":"http://doi.org/10.1038/nbt.2891","authors":"Galdzicki M, Clancy KP, Oberortner E et al.","journal":"Nature Biotechnology","doi":"10.1038/nbt.2891","created_at":"2021-09-30T08:27:37.139Z","updated_at":"2021-09-30T08:27:37.139Z"},{"id":3184,"pubmed_id":null,"title":"Synthetic biology open language visual (SBOL visual) version 3.0","year":2021,"url":"http://dx.doi.org/10.1515/jib-2021-0013","authors":"Baig, Hasan; Fontanarossa, Pedro; McLaughlin, James; Scott-Brown, James; Vaidyanathan, Prashant; Gorochowski, Thomas; Misirli, Goksel; Beal, Jacob; Myers, Chris; ","journal":"Journal of Integrative Bioinformatics","doi":"10.1515/jib-2021-0013","created_at":"2022-01-13T15:06:56.813Z","updated_at":"2022-01-13T15:06:56.813Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2317,"relation":"undefined"}],"grants":[{"id":6750,"fairsharing_record_id":1087,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:12.511Z","updated_at":"2021-09-30T09:28:12.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6755,"fairsharing_record_id":1087,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:12.700Z","updated_at":"2021-09-30T09:31:56.548Z","grant_id":1397,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J02175X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6751,"fairsharing_record_id":1087,"organisation_id":2501,"relation":"maintains","created_at":"2021-09-30T09:28:12.550Z","updated_at":"2021-09-30T09:28:12.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":2501,"name":"SBOL Developers","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6752,"fairsharing_record_id":1087,"organisation_id":38,"relation":"funds","created_at":"2021-09-30T09:28:12.587Z","updated_at":"2021-09-30T09:28:12.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":38,"name":"Agilent Technologies","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6754,"fairsharing_record_id":1087,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:12.661Z","updated_at":"2021-09-30T09:28:12.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6756,"fairsharing_record_id":1087,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:12.733Z","updated_at":"2021-09-30T09:28:12.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6757,"fairsharing_record_id":1087,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:12.820Z","updated_at":"2021-09-30T09:29:18.757Z","grant_id":190,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1355909","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8176,"fairsharing_record_id":1087,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:20.496Z","updated_at":"2021-09-30T09:31:20.562Z","grant_id":1126,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1356401","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9181,"fairsharing_record_id":1087,"organisation_id":2931,"relation":"funds","created_at":"2022-04-11T12:07:19.979Z","updated_at":"2022-04-11T12:07:19.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2931,"name":"United States Defense Advanced Research Projects Agency (DARPA)","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1088","type":"fairsharing_records","attributes":{"created_at":"2021-01-05T11:56:16.000Z","updated_at":"2022-07-20T10:58:31.306Z","metadata":{"doi":"10.25504/FAIRsharing.c3af4b","name":"GeoSPARQL","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/geosparql","identifier":1088,"description":"GeoSPARQL, created by the Open Geospatial Consortium (OGC), supports representing and querying geospatial data on the Semantic Web. GeoSPARQL defines a vocabulary for representing geospatial data in RDF, and it defines an extension to the SPARQL query language for processing geospatial data. In addition, GeoSPARQL is designed to accommodate systems based on qualitative spatial reasoning and systems based on quantitative spatial computations.","abbreviation":"GeoSPARQL","support_links":[{"url":"https://www.ogc.org/contacts","name":"Feedback and Contact Form","type":"Contact form"},{"url":"http://ogc.standardstracker.org/","name":"Submit Change Request / Requirement / Comment","type":"Forum"}],"year_creation":2009},"legacy_ids":["bsg-001558","bsg-s001558"],"name":"FAIRsharing record for: GeoSPARQL","abbreviation":"GeoSPARQL","url":"https://fairsharing.org/10.25504/FAIRsharing.c3af4b","doi":"10.25504/FAIRsharing.c3af4b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeoSPARQL, created by the Open Geospatial Consortium (OGC), supports representing and querying geospatial data on the Semantic Web. GeoSPARQL defines a vocabulary for representing geospatial data in RDF, and it defines an extension to the SPARQL query language for processing geospatial data. In addition, GeoSPARQL is designed to accommodate systems based on qualitative spatial reasoning and systems based on quantitative spatial computations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":270,"relation":"undefined"}],"grants":[{"id":6758,"fairsharing_record_id":1088,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:12.887Z","updated_at":"2021-09-30T09:28:12.887Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1068","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T22:05:46.000Z","updated_at":"2022-07-18T19:57:20.213Z","metadata":{"doi":"10.25504/FAIRsharing.48e326","name":"Simple Knowledge Organization System","status":"ready","contacts":[{"contact_name":"Alistair Miles","contact_email":"alistair.miles@linacre.ox.ac.uk","contact_orcid":"0000-0001-9018-4680"}],"homepage":"http://www.w3.org/TR/skos-reference","citations":[],"identifier":1068,"description":"Simple Knowledge Organization System (SKOS) is a common data model for sharing and linking knowledge organization systems via the Web. Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, to enable data and technology sharing across diverse applications. The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a lightweight, intuitive language for developing and sharing new knowledge organization systems. It may be used on its own, or in combination with formal knowledge representation languages such as the Web Ontology language (OWL). The main objective of SKOS is to enable easy sharing and linking of controlled structured vocabularies for semantic web.","abbreviation":"SKOS","support_links":[{"url":"https://www.w3.org/2006/07/SWD/SKOS/reference/20090811-errata","name":"Errata","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-001268","bsg-s001268"],"name":"FAIRsharing record for: Simple Knowledge Organization System","abbreviation":"SKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.48e326","doi":"10.25504/FAIRsharing.48e326","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Simple Knowledge Organization System (SKOS) is a common data model for sharing and linking knowledge organization systems via the Web. Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, to enable data and technology sharing across diverse applications. The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a lightweight, intuitive language for developing and sharing new knowledge organization systems. It may be used on its own, or in combination with formal knowledge representation languages such as the Web Ontology language (OWL). The main objective of SKOS is to enable easy sharing and linking of controlled structured vocabularies for semantic web.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13182}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":676,"relation":"undefined"}],"grants":[{"id":6701,"fairsharing_record_id":1068,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:10.695Z","updated_at":"2022-07-18T15:44:10.669Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1069","type":"fairsharing_records","attributes":{"created_at":"2020-02-26T13:20:56.000Z","updated_at":"2022-02-08T10:31:20.696Z","metadata":{"doi":"10.25504/FAIRsharing.bdf2fe","name":"BibTex BIB Format","status":"ready","contacts":[{"contact_name":"Oren Patashnik","contact_email":"opbibtex@cs.stanford.edu"}],"homepage":"http://mirrors.ctan.org/biblio/bibtex/base/btxdoc.pdf","identifier":1069,"description":"The BibTeX BIB format was created to store a list of all references required by the BibTex software package. The BibTex package allows the user to store their citation data in a generic form, while printing citations in a document in the form specified by a BibTeX style, to be specified in the document itself.","abbreviation":"BIB","support_links":[{"url":"https://ctan.org/pkg/bibtex?lang=en","name":"BibTex Package Documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/BibTeX","name":"BibTex (Package) Wikipedia Entry","type":"Wikipedia"}],"year_creation":1988,"associated_tools":[{"url":"https://www.ctan.org/tex-archive/biblio/bibtex","name":"BibTex Package on CTAN"}]},"legacy_ids":["bsg-001453","bsg-s001453"],"name":"FAIRsharing record for: BibTex BIB Format","abbreviation":"BIB","url":"https://fairsharing.org/10.25504/FAIRsharing.bdf2fe","doi":"10.25504/FAIRsharing.bdf2fe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BibTeX BIB format was created to store a list of all references required by the BibTex software package. The BibTex package allows the user to store their citation data in a generic form, while printing citations in a document in the form specified by a BibTeX style, to be specified in the document itself.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Software Engineering"],"domains":["Citation","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Knuth License","licence_id":480,"licence_url":"https://ctan.org/license/knuth","link_id":416,"relation":"undefined"}],"grants":[{"id":6702,"fairsharing_record_id":1069,"organisation_id":410,"relation":"maintains","created_at":"2021-09-30T09:28:10.720Z","updated_at":"2021-09-30T09:28:10.720Z","grant_id":null,"is_lead":true,"saved_state":{"id":410,"name":"Center for Communications Research, San Diego, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1094","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T18:55:34.000Z","updated_at":"2021-11-24T13:17:08.943Z","metadata":{"doi":"10.25504/FAIRsharing.xvash1","name":"Flexible Image Transport System","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"fits@fits.gsfc.nasa.gov"}],"homepage":"https://fits.gsfc.nasa.gov","identifier":1094,"description":"This standard defines a digital file format useful for storage, transmission and processing of scientific and other images in astronomy. Unlike many image formats, FITS is designed specifically for scientific data and hence includes many provisions for describing photometric and spatial calibration information, together with image origin metadata. A major feature of the FITS format is that image metadata is stored in a human-readable ASCII header, so that an interested user can examine the headers to investigate an archived file of unknown provenance.","abbreviation":"FITS","support_links":[{"url":"fits@fits.gsfc.nasa.gov","name":"Contact email","type":"Support email"},{"url":"https://fits.gsfc.nasa.gov/iaufwg/","name":"FITS IAU WG","type":"Forum"},{"url":"https://fits.gsfc.nasa.gov/fits_documentation.html","name":"Documentation","type":"Help documentation"}],"year_creation":1978},"legacy_ids":["bsg-000712","bsg-s000712"],"name":"FAIRsharing record for: Flexible Image Transport System","abbreviation":"FITS","url":"https://fairsharing.org/10.25504/FAIRsharing.xvash1","doi":"10.25504/FAIRsharing.xvash1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard defines a digital file format useful for storage, transmission and processing of scientific and other images in astronomy. Unlike many image formats, FITS is designed specifically for scientific data and hence includes many provisions for describing photometric and spatial calibration information, together with image origin metadata. A major feature of the FITS format is that image metadata is stored in a human-readable ASCII header, so that an interested user can examine the headers to investigate an archived file of unknown provenance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Resource metadata","Imaging","Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","France","Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6765,"fairsharing_record_id":1094,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:13.112Z","updated_at":"2021-09-30T09:28:13.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1067","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T21:17:14.000Z","updated_at":"2023-09-29T11:54:58.239Z","metadata":{"doi":"10.25504/FAIRsharing.a0c765","name":"Language resource management -- Controlled natural language (CNL) -- Part 1: Basic concepts and principles","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37334.html","citations":[],"identifier":1067,"description":"As part of a drive to provide international standards for language resource management, ISO/TS 24620-1:2015 on controlled natural language (CNL) sets out the principles of CNL and its utilization together with the relevant supporting technology. However, ISO/TS 24620-1:2015 also aims to introduce a general view of CNL with its objectives and characteristics and provide a scheme for classifying a range of CNLs. ISO/TS 24620-1:2015 additionally specifies certain normalizing principles of CNLs that control the use of natural languages in particular domains and are also oriented towards areas of practical application.","abbreviation":"ISO/TS 24620-1:2015","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37334.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2009},"legacy_ids":["bsg-001267","bsg-s001267"],"name":"FAIRsharing record for: Language resource management -- Controlled natural language (CNL) -- Part 1: Basic concepts and principles","abbreviation":"ISO/TS 24620-1:2015","url":"https://fairsharing.org/10.25504/FAIRsharing.a0c765","doi":"10.25504/FAIRsharing.a0c765","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As part of a drive to provide international standards for language resource management, ISO/TS 24620-1:2015 on controlled natural language (CNL) sets out the principles of CNL and its utilization together with the relevant supporting technology. However, ISO/TS 24620-1:2015 also aims to introduce a general view of CNL with its objectives and characteristics and provide a scheme for classifying a range of CNLs. ISO/TS 24620-1:2015 additionally specifies certain normalizing principles of CNLs that control the use of natural languages in particular domains and are also oriented towards areas of practical application.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":469,"relation":"undefined"}],"grants":[{"id":6700,"fairsharing_record_id":1067,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:10.672Z","updated_at":"2021-09-30T09:28:10.672Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10921,"fairsharing_record_id":1067,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:11:52.761Z","updated_at":"2023-09-27T14:11:52.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1150","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T12:02:13.406Z","metadata":{"doi":"10.25504/FAIRsharing.brhpb0","name":"Ontology of Prokaryotic Phenotypic and Metabolic Characters","status":"uncertain","contacts":[{"contact_name":"Carrine Blank","contact_email":"carrine.blank@umontana.edu"}],"homepage":"https://github.com/carrineblank/MicrO","citations":[{"doi":"10.1186/s13326-016-0060-6","pubmed_id":27076900,"publication_id":2520}],"identifier":1150,"description":"MicrO is an ontology of microbiological terms, including prokaryotic qualities and processes, material entities (such as cell components), chemical entities (such as microbiological culture media and medium ingredients), and assays. The ontology was built to support the ongoing development of a natural language processing algorithm, MicroPIE (or, Microbial Phenomics Information Extractor). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","abbreviation":"MicrO","support_links":[{"url":"https://github.com/carrineblank/MicrO/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2013},"legacy_ids":["bsg-000784","bsg-s000784"],"name":"FAIRsharing record for: Ontology of Prokaryotic Phenotypic and Metabolic Characters","abbreviation":"MicrO","url":"https://fairsharing.org/10.25504/FAIRsharing.brhpb0","doi":"10.25504/FAIRsharing.brhpb0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MicrO is an ontology of microbiological terms, including prokaryotic qualities and processes, material entities (such as cell components), chemical entities (such as microbiological culture media and medium ingredients), and assays. The ontology was built to support the ongoing development of a natural language processing algorithm, MicroPIE (or, Microbial Phenomics Information Extractor). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Microbiology"],"domains":["Assay","Cell culture","Phenotype"],"taxonomies":["Archaea","Bacteria","Cyanobacteria","Firmicutes"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2520,"pubmed_id":27076900,"title":"MicrO: an ontology of phenotypic and metabolic characters, assays, and culture media found in prokaryotic taxonomic descriptions.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0060-6","authors":"Blank CE,Cui H,Moore LR,Walls RL","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0060-6","created_at":"2021-09-30T08:27:09.176Z","updated_at":"2021-09-30T08:27:09.176Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":305,"relation":"undefined"}],"grants":[{"id":6882,"fairsharing_record_id":1150,"organisation_id":3100,"relation":"maintains","created_at":"2021-09-30T09:28:17.429Z","updated_at":"2021-09-30T09:28:17.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":3100,"name":"University of Montana, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6881,"fairsharing_record_id":1150,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:17.392Z","updated_at":"2021-09-30T09:31:15.466Z","grant_id":1090,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Assembling the Tree of Life Program DBI-1208534","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1151","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T15:41:54.000Z","updated_at":"2023-09-29T11:55:00.949Z","metadata":{"doi":"10.25504/FAIRsharing.634749","name":"ISO 15189:2012 Medical laboratories — Requirements for quality and competence","status":"ready","contacts":[{"contact_name":"ISO/TC 212 - Secretariat","contact_email":"info@ansi.org"}],"homepage":"https://www.iso.org/standard/56115.html","citations":[],"identifier":1151,"description":"ISO 15189:2012 specifies requirements for quality and competence in medical laboratories. ISO 15189:2012 can be used by medical laboratories in developing their quality management systems and assessing their own competence. It can also be used for confirming or recognizing the competence of medical laboratories by laboratory customers, regulating authorities and accreditation bodies.","abbreviation":"ISO 15189:2012","support_links":[{"url":"https://en.wikipedia.org/wiki/ISO_15189","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012},"legacy_ids":["bsg-001590","bsg-s001590"],"name":"FAIRsharing record for: ISO 15189:2012 Medical laboratories — Requirements for quality and competence","abbreviation":"ISO 15189:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.634749","doi":"10.25504/FAIRsharing.634749","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 15189:2012 specifies requirements for quality and competence in medical laboratories. ISO 15189:2012 can be used by medical laboratories in developing their quality management systems and assessing their own competence. It can also be used for confirming or recognizing the competence of medical laboratories by laboratory customers, regulating authorities and accreditation bodies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12138}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Biomedical Science"],"domains":["Quality control","Legal regulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":276,"relation":"undefined"}],"grants":[{"id":6883,"fairsharing_record_id":1151,"organisation_id":2714,"relation":"maintains","created_at":"2021-09-30T09:28:17.466Z","updated_at":"2021-09-30T09:28:17.466Z","grant_id":null,"is_lead":true,"saved_state":{"id":2714,"name":"Technical Committee 212, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10936,"fairsharing_record_id":1151,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:24:02.525Z","updated_at":"2023-09-27T14:24:02.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1152","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:27.675Z","metadata":{"doi":"10.25504/FAIRsharing.1a27h8","name":"Anatomical Therapeutic Chemical Classification","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"whocc@fhi.no"}],"homepage":"http://www.whocc.no/atc/structure_and_principles/","identifier":1152,"description":"The Anatomical Therapeutic Chemical (ATC) Classification System is used for the classification of active ingredients of drugs according to the organ or system on which they act and their therapeutic, pharmacological and chemical properties. It is controlled by the World Health Organization Collaborating Centre for Drug Statistics Methodology (WHOCC), and was first published in 1976.","abbreviation":"ATC","support_links":[{"url":"http://en.wikipedia.org/wiki/Anatomical_Therapeutic_Chemical_Classification_System","type":"Wikipedia"},{"url":"http://www.whocc.no/courses/","type":"Training documentation"}],"year_creation":1976,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ATC","name":"ATC","portal":"BioPortal"}]},"legacy_ids":["bsg-002794","bsg-s002794"],"name":"FAIRsharing record for: Anatomical Therapeutic Chemical Classification","abbreviation":"ATC","url":"https://fairsharing.org/10.25504/FAIRsharing.1a27h8","doi":"10.25504/FAIRsharing.1a27h8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Anatomical Therapeutic Chemical (ATC) Classification System is used for the classification of active ingredients of drugs according to the organ or system on which they act and their therapeutic, pharmacological and chemical properties. It is controlled by the World Health Organization Collaborating Centre for Drug Statistics Methodology (WHOCC), and was first published in 1976.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17329},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12214},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13176},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14547},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16983}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemical Biology","Pharmacology","Biomedical Science"],"domains":["Anatomical Therapeutic Chemical Code","Drug","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Pharmacological family classification"],"countries":["Norway"],"publications":[{"id":2323,"pubmed_id":11214783,"title":"Different versions of the anatomical therapeutic chemical classification system and the defined daily dose--are drug utilisation data comparable?","year":2001,"url":"http://doi.org/10.1007/s002280000200","authors":"Ronning M,Blix HS,Harbo BT,Strom H","journal":"Eur J Clin Pharmacol","doi":"10.1007/s002280000200","created_at":"2021-09-30T08:26:45.110Z","updated_at":"2021-09-30T08:26:45.110Z"},{"id":2324,"pubmed_id":7368387,"title":"[New classification of drugs. The Medical list and the Drug catalogue are introduced in Anatomical--Therapeutic--Chemical classification code (ACT-code) in 1981].","year":1980,"url":"https://www.ncbi.nlm.nih.gov/pubmed/7368387","authors":"Hvidberg E,Andersen AH","journal":"Ugeskr Laeger","doi":null,"created_at":"2021-09-30T08:26:45.277Z","updated_at":"2021-09-30T08:26:45.277Z"}],"licence_links":[],"grants":[{"id":6884,"fairsharing_record_id":1152,"organisation_id":2188,"relation":"maintains","created_at":"2021-09-30T09:28:17.495Z","updated_at":"2021-09-30T09:28:17.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2188,"name":"Norwegian Institute of Public Health","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6886,"fairsharing_record_id":1152,"organisation_id":94,"relation":"maintains","created_at":"2021-09-30T09:28:17.550Z","updated_at":"2021-09-30T09:28:17.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":94,"name":"Anatomical Therapeutic Chemical (ATC) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6885,"fairsharing_record_id":1152,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:17.520Z","updated_at":"2021-09-30T09:28:17.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1153","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:52:50.596Z","metadata":{"doi":"10.25504/FAIRsharing.h9gdcb","name":"Tumor model repositories Markup Language","status":"ready","contacts":[{"contact_name":"David Johnson","contact_email":"david.johnson@cs.ox.ac.uk","contact_orcid":"0000-0002-2323-6847"}],"homepage":"http://www.github.com/tumorml","identifier":1153,"description":"Originally developed as part of the FP7 Transatlantic Tumor Model Repositories project, TumorML has been developed as an XML-based domain-specific vocabulary that includes elements from existing vocabularies, to deal with storing and transmitting existing cancer models among research communities.","abbreviation":"TumorML","year_creation":2010,"associated_tools":[{"url":"https://github.com/tumorml/TumorML-validator","name":"TumorML Validator"}]},"legacy_ids":["bsg-000540","bsg-s000540"],"name":"FAIRsharing record for: Tumor model repositories Markup Language","abbreviation":"TumorML","url":"https://fairsharing.org/10.25504/FAIRsharing.h9gdcb","doi":"10.25504/FAIRsharing.h9gdcb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Originally developed as part of the FP7 Transatlantic Tumor Model Repositories project, TumorML has been developed as an XML-based domain-specific vocabulary that includes elements from existing vocabularies, to deal with storing and transmitting existing cancer models among research communities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Mathematical model","Cancer","Modeling and simulation","Tumor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":470,"pubmed_id":23700360,"title":"Dealing with Diversity in Computational Cancer Modeling","year":2013,"url":"http://doi.org/10.4137/CIN.S11583","authors":"David Johnson, Steve McKeever, Georgios Stamatakos, Dimitra Dionysiou, Norbert Graf, Vangelis Sakkalis, Konstantinos Marias, Zhihui Wang, and Thomas S. Deisboeck","journal":"Cancer Informatics","doi":"10.4137/CIN.S11583","created_at":"2021-09-30T08:23:11.109Z","updated_at":"2021-09-30T08:23:11.109Z"},{"id":743,"pubmed_id":null,"title":"Connecting digital cancer model repositories with markup: introducing TumorML version 1.0","year":2013,"url":"http://doi.org/10.1145/2544063.2544064","authors":"David Johnson, Steve McKeever, Thomas S. Deisboeck and Zhihui Wang","journal":"ACM SIGBioinformatics Record","doi":"10.1145/2544063.2544064","created_at":"2021-09-30T08:23:41.824Z","updated_at":"2021-09-30T08:23:41.824Z"},{"id":1815,"pubmed_id":25520553,"title":"Semantically linking in silico cancer models","year":2014,"url":"http://doi.org/10.4137/CIN.S13895","authors":"David Johnson, Anthony J. Connor, Steve McKeever, Zhihui Wang, Thomas S. Deisboeck, Tom Quaiser and Eliezer Shochat","journal":"Cancer Informatics","doi":"10.4137/CIN.S13895","created_at":"2021-09-30T08:25:43.756Z","updated_at":"2021-09-30T08:25:43.756Z"},{"id":2151,"pubmed_id":22254343,"title":"TumorML: Concept and requirements of an in silico cancer modelling markup language","year":2012,"url":"http://doi.org/10.1109/IEMBS.2011.6090060","authors":"David Johnson, Jonathan Cooper and Steve McKeever","journal":"Conf Proc IEEE Eng Med Biol Soc","doi":"10.1109/IEMBS.2011.6090060","created_at":"2021-09-30T08:26:22.392Z","updated_at":"2021-09-30T08:26:22.392Z"}],"licence_links":[],"grants":[{"id":6888,"fairsharing_record_id":1153,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:17.621Z","updated_at":"2021-09-30T09:30:53.600Z","grant_id":921,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7-ICT-2009.5.4- 247754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6887,"fairsharing_record_id":1153,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:17.588Z","updated_at":"2021-09-30T09:28:17.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1154","type":"fairsharing_records","attributes":{"created_at":"2021-05-10T11:51:00.000Z","updated_at":"2023-09-29T11:55:01.392Z","metadata":{"doi":"10.25504/FAIRsharing.1d13e7","name":"CCSDS and ISO Reference Model for an Open Archival Information System","status":"ready","contacts":[{"contact_name":"Mr Sami Asmar","contact_email":"sami.w.asmar@jpl.nasa.gov"}],"homepage":"https://www.iso.org/standard/57284.html","identifier":1154,"description":"The Consultative Committee for Space Data Systems (CCSDS) and International Organization for Standardization (ISO) 14721:2012 Reference Model for an Open Archival Information System (OAIS) was developed to facilitate a broad, discipline independent, consensus on the requirements for an archive or repository to provide long-term, preservation of digital information. It was also intended to support the development of additional digital preservation standards. OAIS provides a model for describing an Archive, consisting of an organization, which may be part of a larger organization, of people and systems that has accepted the responsibility to preserve information and make it available for a Designated Community. The term ‘Open’ in OAIS is used to imply that this Recommendation, as well as future related Recommendations and standards, are developed in open forums, and it does not imply that access to the Archive is unrestricted.","abbreviation":"ISO 14721:2012 (OAIS)","support_links":[{"url":"secretariat@mailman.ccsds.org","name":"CCSDS General Contact","type":"Support email"},{"url":"http://www.oais.info/","name":"General OAIS Information","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001613","bsg-s001613"],"name":"FAIRsharing record for: CCSDS and ISO Reference Model for an Open Archival Information System","abbreviation":"ISO 14721:2012 (OAIS)","url":"https://fairsharing.org/10.25504/FAIRsharing.1d13e7","doi":"10.25504/FAIRsharing.1d13e7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Consultative Committee for Space Data Systems (CCSDS) and International Organization for Standardization (ISO) 14721:2012 Reference Model for an Open Archival Information System (OAIS) was developed to facilitate a broad, discipline independent, consensus on the requirements for an archive or repository to provide long-term, preservation of digital information. It was also intended to support the development of additional digital preservation standards. OAIS provides a model for describing an Archive, consisting of an organization, which may be part of a larger organization, of people and systems that has accepted the responsibility to preserve information and make it available for a Designated Community. The term ‘Open’ in OAIS is used to imply that this Recommendation, as well as future related Recommendations and standards, are developed in open forums, and it does not imply that access to the Archive is unrestricted.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Governance","Data Management"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":599,"relation":"undefined"}],"grants":[{"id":6890,"fairsharing_record_id":1154,"organisation_id":2760,"relation":"maintains","created_at":"2021-09-30T09:28:17.701Z","updated_at":"2021-09-30T09:28:17.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":2760,"name":"The Consultative Committee for Space Data Systems","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10938,"fairsharing_record_id":1154,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:48:09.109Z","updated_at":"2023-09-27T14:48:09.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6889,"fairsharing_record_id":1154,"organisation_id":2716,"relation":"maintains","created_at":"2021-09-30T09:28:17.659Z","updated_at":"2021-09-30T09:28:17.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":2716,"name":"Technical Committee ISO/TC 20/SC 13, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1143","type":"fairsharing_records","attributes":{"created_at":"2017-03-02T11:31:15.000Z","updated_at":"2024-03-18T06:53:14.944Z","metadata":{"doi":"10.25504/FAIRsharing.v033mj","name":"proBed","status":"in_development","contacts":[{"contact_name":"Tobias Ternent","contact_email":"tobias@ebi.ac.uk"}],"homepage":"http://www.psidev.info/probed","citations":[],"identifier":1143,"description":"The Proteomics Informatics Working Group is developing standards for describing the results of identification and quantification processes for proteins, peptides, small molecules and protein modifications from mass spectrometry. This working group is developing proBed, a tab delimited text file format to report “proteogenomics” results, i.e. the identification and mapping of peptide/protein sequences back against a genome, to assist in annotation efforts. The original BED format is used to describe genome coordinate data across lines, for use on annotation tracks. In BED, data lines are defined as tab-separated plain text with 12 mandatory fields (columns). Of those, only the first three fields are required, and the other 9 are optional. The proBed format builds upon this original structure by extending the 12 original BED fields to include a further 13 fields to describe information primarily on peptide-spectrum matches (PSMs). The format can also accommodate peptides (as groups of PSMs).","abbreviation":"proBed","support_links":[{"url":"https://goo.gl/FM2w66","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/PRIDE-Utilities/ms-data-core-api","name":"ms-data-core-api"},{"url":"https://github.com/PRIDE-Toolsuite/PGConverter","name":"PGConverter"},{"url":"http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/bedToBigBed","name":"bedToBigBed"}]},"legacy_ids":["bsg-000694","bsg-s000694"],"name":"FAIRsharing record for: proBed","abbreviation":"proBed","url":"https://fairsharing.org/10.25504/FAIRsharing.v033mj","doi":"10.25504/FAIRsharing.v033mj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Proteomics Informatics Working Group is developing standards for describing the results of identification and quantification processes for proteins, peptides, small molecules and protein modifications from mass spectrometry. This working group is developing proBed, a tab delimited text file format to report “proteogenomics” results, i.e. the identification and mapping of peptide/protein sequences back against a genome, to assist in annotation efforts. The original BED format is used to describe genome coordinate data across lines, for use on annotation tracks. In BED, data lines are defined as tab-separated plain text with 12 mandatory fields (columns). Of those, only the first three fields are required, and the other 9 are optional. The proBed format builds upon this original structure by extending the 12 original BED fields to include a further 13 fields to describe information primarily on peptide-spectrum matches (PSMs). The format can also accommodate peptides (as groups of PSMs).","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11450},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12097},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12504}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteogenomics","Life Science"],"domains":["Mass spectrum","Protein modification","Small molecule","Peak matching","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":["Peptide-spectrum matching"],"countries":["United Kingdom","United States"],"publications":[{"id":4183,"pubmed_id":null,"title":"The proBAM and proBed standard formats: enabling a seamless integration of genomics and proteomics data","year":2018,"url":"http://dx.doi.org/10.1186/s13059-017-1377-x","authors":"Menschaert, Gerben; Wang, Xiaojing; Jones, Andrew R.; Ghali, Fawaz; Fenyö, David; Olexiouk, Volodimir; Zhang, Bing; Deutsch, Eric W.; Ternent, Tobias; Vizcaíno, Juan Antonio; ","journal":"Genome Biol","doi":"10.1186/s13059-017-1377-x","created_at":"2024-03-04T19:54:18.955Z","updated_at":"2024-03-04T19:54:18.955Z"}],"licence_links":[],"grants":[{"id":6864,"fairsharing_record_id":1143,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:16.826Z","updated_at":"2021-09-30T09:28:16.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1144","type":"fairsharing_records","attributes":{"created_at":"2018-11-21T19:58:29.000Z","updated_at":"2021-11-24T13:14:27.572Z","metadata":{"doi":"10.25504/FAIRsharing.e1yjxM","name":"CDISC Glossary","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/glossary","identifier":1144,"description":"CDISC Glossary seeks to harmonize definitions (including acronyms, abbreviations, and initials) used in the various standards initiatives undertaken by CDISC in clinical research. Glossary also serves the community of clinical researchers by selecting and defining terms pertaining to clinical research, particularly eClinical investigations, sponsored by the pharmaceutical industry or a federal agency.","abbreviation":"Glossary"},"legacy_ids":["bsg-001337","bsg-s001337"],"name":"FAIRsharing record for: CDISC Glossary","abbreviation":"Glossary","url":"https://fairsharing.org/10.25504/FAIRsharing.e1yjxM","doi":"10.25504/FAIRsharing.e1yjxM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC Glossary seeks to harmonize definitions (including acronyms, abbreviations, and initials) used in the various standards initiatives undertaken by CDISC in clinical research. Glossary also serves the community of clinical researchers by selecting and defining terms pertaining to clinical research, particularly eClinical investigations, sponsored by the pharmaceutical industry or a federal agency.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12127},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12540}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6865,"fairsharing_record_id":1144,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:28:16.856Z","updated_at":"2021-09-30T09:28:16.856Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6866,"fairsharing_record_id":1144,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:16.898Z","updated_at":"2021-09-30T09:28:16.898Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1145","type":"fairsharing_records","attributes":{"created_at":"2020-05-29T14:50:42.000Z","updated_at":"2023-06-02T15:14:19.460Z","metadata":{"doi":"10.25504/FAIRsharing.XYFbZD","name":"Human Diseases Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/VH8/en/","citations":[],"identifier":1145,"description":"The Human Diseases Thesaurus describes human diseases, and is part of the Medicine vocabulary used from 1972 to 2015 for indexing bibliographical records in the now-archived PASCAL database (http://pascal-francis.inist.fr/). It is available in English and French.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001488","bsg-s001488"],"name":"FAIRsharing record for: Human Diseases Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.XYFbZD","doi":"10.25504/FAIRsharing.XYFbZD","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Diseases Thesaurus describes human diseases, and is part of the Medicine vocabulary used from 1972 to 2015 for indexing bibliographical records in the now-archived PASCAL database (http://pascal-francis.inist.fr/). It is available in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11307}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Life Science","Pathology"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":597,"relation":"undefined"}],"grants":[{"id":6868,"fairsharing_record_id":1145,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.978Z","updated_at":"2021-09-30T09:28:16.978Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6867,"fairsharing_record_id":1145,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.940Z","updated_at":"2021-09-30T09:28:16.940Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1146","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T19:28:05.000Z","updated_at":"2022-07-20T10:13:23.638Z","metadata":{"doi":"10.25504/FAIRsharing.b33ae1","name":"Technical Metadata for Text","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ndmso@loc.gov"}],"homepage":"https://www.loc.gov/standards/textMD/","identifier":1146,"description":"textMD is a XML Schema that details technical metadata for text-based digital objects. It most commonly serves as an extension schema used within the Metadata Encoding and Transmission Schema (METS) administrative metadata section. However, it could also exist as a standalone document. textMD can be used within the PREMIS element \u003cobjectCharacteristicsExtension\u003e, as an extension for format-specific metadata within the PREMIS preservation metadata XML Schema versions 2.0 and 2.1. The textMD schema allows for detailing properties such as: encoding information (quality, platform, software, agent); character information (character set and size, byte order and size, line terminators); languages; fonts; markup information; processing and textual notes; technical requirements for printing and viewing; and page ordering and sequencing.","abbreviation":"textMD","support_links":[{"url":"http://listserv.loc.gov/archives/textmd.html","name":"textMD mailing list","type":"Mailing list"},{"url":"https://www.loc.gov/standards/textMD/elementSet/index.html","name":"Element Set Documentation","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001276","bsg-s001276"],"name":"FAIRsharing record for: Technical Metadata for Text","abbreviation":"textMD","url":"https://fairsharing.org/10.25504/FAIRsharing.b33ae1","doi":"10.25504/FAIRsharing.b33ae1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: textMD is a XML Schema that details technical metadata for text-based digital objects. It most commonly serves as an extension schema used within the Metadata Encoding and Transmission Schema (METS) administrative metadata section. However, it could also exist as a standalone document. textMD can be used within the PREMIS element \u003cobjectCharacteristicsExtension\u003e, as an extension for format-specific metadata within the PREMIS preservation metadata XML Schema versions 2.0 and 2.1. The textMD schema allows for detailing properties such as: encoding information (quality, platform, software, agent); character information (character set and size, byte order and size, line terminators); languages; fonts; markup information; processing and textual notes; technical requirements for printing and viewing; and page ordering and sequencing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Document metadata","Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6869,"fairsharing_record_id":1146,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:17.015Z","updated_at":"2021-09-30T09:28:17.015Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1147","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:55:19.000Z","updated_at":"2023-06-05T06:22:04.550Z","metadata":{"doi":"10.25504/FAIRsharing.U7rBYm","name":"Vocabulary of Earth Sciences","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/26L/en/","citations":[],"identifier":1147,"description":"Earth and Universe Sciences controlled vocabulary used for indexing bibliographical records for the PASCAL database. This resource contains 10835 entries grouped into 60 collections, in two languages (English and French).","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001417","bsg-s001417"],"name":"FAIRsharing record for: Vocabulary of Earth Sciences","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.U7rBYm","doi":"10.25504/FAIRsharing.U7rBYm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Earth and Universe Sciences controlled vocabulary used for indexing bibliographical records for the PASCAL database. This resource contains 10835 entries grouped into 60 collections, in two languages (English and French).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11294}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy","Cosmology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Cosmology"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1343,"relation":"undefined"}],"grants":[{"id":6871,"fairsharing_record_id":1147,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:17.099Z","updated_at":"2021-09-30T09:28:17.099Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6870,"fairsharing_record_id":1147,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:17.057Z","updated_at":"2021-09-30T09:28:17.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1158","type":"fairsharing_records","attributes":{"created_at":"2020-05-29T14:38:31.000Z","updated_at":"2023-06-05T06:21:43.599Z","metadata":{"doi":"10.25504/FAIRsharing.2ZShyL","name":"Ethnology vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/KW5/en/","citations":[],"identifier":1158,"description":"The Ethnology vocabulary is a controlled vocabulary used for indexing the bibliographical records for the now-archived \"Ethnology\" FRANCIS database (1972 - 2015, http://pascal-francis.inist.fr/). This resource contains over 9000 classes, with each class available in English and French.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001487","bsg-s001487"],"name":"FAIRsharing record for: Ethnology vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2ZShyL","doi":"10.25504/FAIRsharing.2ZShyL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ethnology vocabulary is a controlled vocabulary used for indexing the bibliographical records for the now-archived \"Ethnology\" FRANCIS database (1972 - 2015, http://pascal-francis.inist.fr/). This resource contains over 9000 classes, with each class available in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11308}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science","Social Anthropology"],"domains":["Bibliography"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Ethnology"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":598,"relation":"undefined"}],"grants":[{"id":6900,"fairsharing_record_id":1158,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:18.092Z","updated_at":"2021-09-30T09:28:18.092Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6901,"fairsharing_record_id":1158,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:18.134Z","updated_at":"2021-09-30T09:28:18.134Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1159","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T11:36:45.000Z","updated_at":"2022-07-20T12:00:03.287Z","metadata":{"doi":"10.25504/FAIRsharing.df206a","name":"International Standard Bibliographic Description","status":"ready","contacts":[],"homepage":"https://www.ifla.org/publications/international-standard-bibliographic-description","citations":[],"identifier":1159,"description":"The consolidated edition of the International Standard Bibliographic Description (ISBD) specifies the requirements for description and identification of single-part resources and multi-part resources. This consolidated edition merges the texts of the seven specialized ISBDs (for books, maps, serials, sound recordings, computer files and other electronic resources, etc.) into a single text. The ISBD is useful and applicable for descriptions of bibliographic resources in any type of catalogue. In this edition the stipulations for cataloguing the various resources have been made more consistent with each other and brought up to date. The area 0 for content form and media type is included for the first time. The designation of mandatory ISBD elements has been brought into conformity with the requirements for a basic level national bibliographic record as determined by the Functional Requirements for Bibliographic Records (FRBR).","abbreviation":"ISBD","support_links":[{"url":"https://en.wikipedia.org/wiki/International_Standard_Bibliographic_Description","name":"Wikipedia entry","type":"Wikipedia"},{"url":"https://www.ifla.org/news/","type":"Blog/News"},{"url":"https://twitter.com/ifla","name":"@IFLA","type":"Twitter"},{"url":"https://www.ifla.org/contact-us/","name":"Contact us","type":"Contact form"}],"year_creation":1971},"legacy_ids":["bsg-001245","bsg-s001245"],"name":"FAIRsharing record for: International Standard Bibliographic Description","abbreviation":"ISBD","url":"https://fairsharing.org/10.25504/FAIRsharing.df206a","doi":"10.25504/FAIRsharing.df206a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The consolidated edition of the International Standard Bibliographic Description (ISBD) specifies the requirements for description and identification of single-part resources and multi-part resources. This consolidated edition merges the texts of the seven specialized ISBDs (for books, maps, serials, sound recordings, computer files and other electronic resources, etc.) into a single text. The ISBD is useful and applicable for descriptions of bibliographic resources in any type of catalogue. In this edition the stipulations for cataloguing the various resources have been made more consistent with each other and brought up to date. The area 0 for content form and media type is included for the first time. The designation of mandatory ISBD elements has been brought into conformity with the requirements for a basic level national bibliographic record as determined by the Functional Requirements for Bibliographic Records (FRBR).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Bibliography","Publication","Digital curation","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Publishing"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":893,"relation":"undefined"}],"grants":[{"id":6902,"fairsharing_record_id":1159,"organisation_id":1489,"relation":"maintains","created_at":"2021-09-30T09:28:18.175Z","updated_at":"2021-09-30T09:28:18.175Z","grant_id":null,"is_lead":true,"saved_state":{"id":1489,"name":"International Federation of Library Associations and Institutions (IFLA), The Hague, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1160","type":"fairsharing_records","attributes":{"created_at":"2020-04-29T13:36:22.000Z","updated_at":"2023-01-16T09:26:43.442Z","metadata":{"doi":"10.25504/FAIRsharing.dc34f4","name":"COVID19 Surveillance Ontology","status":"ready","contacts":[{"contact_name":"Simon de Lusignan","contact_email":"simon.delusignan@phc.ox.ac.uk"}],"homepage":"https://bioportal.bioontology.org/ontologies/COVID19","citations":[],"identifier":1160,"description":"The COVID-19 Surveillance Ontology is an application ontology used to support COVID-19 (Wuhan novel Coronavirus infection) surveillance in primary care. The ontology facilitates monitoring of COVID-19 cases and related respiratory conditions using data from multiple brands of computerised medical record systems.","abbreviation":"CSO","support_links":[{"url":"dylan.mcgagh@magd.ox.ac.uk","name":"Dylan McGagh","type":"Support email"},{"url":"harshana.liyanage@phc.ox.ac.uk","name":"Harshana Liyanage ","type":"Support email"},{"url":"john.williams@phc.ox.ac.uk","name":"John Williams","type":"Support email"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSO","name":"CSO","portal":"BioPortal"}]},"legacy_ids":["bsg-001473","bsg-s001473"],"name":"FAIRsharing record for: COVID19 Surveillance Ontology","abbreviation":"CSO","url":"https://fairsharing.org/10.25504/FAIRsharing.dc34f4","doi":"10.25504/FAIRsharing.dc34f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COVID-19 Surveillance Ontology is an application ontology used to support COVID-19 (Wuhan novel Coronavirus infection) surveillance in primary care. The ontology facilitates monitoring of COVID-19 cases and related respiratory conditions using data from multiple brands of computerised medical record systems.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12290},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12552}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Critical Care Medicine","Public Health","Health Science","Primary Health Care"],"domains":["Patient care","Monitoring"],"taxonomies":["Coronaviridae","Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":3768,"pubmed_id":33112762,"title":"COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology.","year":2020,"url":"https://doi.org/10.2196/21434","authors":"de Lusignan S, Liyanage H, McGagh D, Jani BD, Bauwens J, Byford R, Evans D, Fahey T, Greenhalgh T, Jones N, Mair FS, Okusi C, Parimalanathan V, Pell JP, Sherlock J, Tamburis O, Tripathy M, Ferreira F, Williams J, Hobbs FDR","journal":"JMIR public health and surveillance","doi":"10.2196/21434","created_at":"2023-01-16T09:22:59.858Z","updated_at":"2023-01-16T09:22:59.858Z"}],"licence_links":[],"grants":[{"id":6903,"fairsharing_record_id":1160,"organisation_id":2202,"relation":"maintains","created_at":"2021-09-30T09:28:18.213Z","updated_at":"2021-09-30T09:28:18.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":2202,"name":"Nuffield Department of Primary Care Health Sciences, University of Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1161","type":"fairsharing_records","attributes":{"created_at":"2016-05-19T13:18:31.000Z","updated_at":"2022-07-20T13:11:22.230Z","metadata":{"doi":"10.25504/FAIRsharing.27tnee","name":"Open Modeling EXchange format","status":"ready","contacts":[{"contact_name":"Nicolas Le Novère","contact_email":"lenov@babraham.ac.uk"}],"homepage":"http://co.mbine.org/specifications/omex.version-1","citations":[{"doi":"10.1186/s12859-014-0369-z","pubmed_id":25494900,"publication_id":1181}],"identifier":1161,"description":"Open Modeling EXchange format (OMEX), together with the use of other standard formats from the Computational Modeling in Biology Network (COMBINE), is the basis of the COMBINE Archive, a single file that supports the exchange of all the information necessary for a modeling and simulation experiment in biology. An OMEX file is a ZIP container that includes a manifest file, listing the content of the archive, an optional metadata file adding information about the archive and its content, and the files describing the model.","abbreviation":"OMEX","support_links":[{"url":"https://groups.google.com/forum/?hl=en-GB#!forum/combine-archive","name":"OMEX format discussion","type":"Forum"},{"url":"https://groups.google.com/forum/?hl=en-GB#!forum/combine-support","name":"Report problems with the website","type":"Forum"},{"url":"https://tess.elixir-europe.org/materials/runbiosimulations-tutorial-and-help","name":"runBioSimulations tutorial and help","type":"TeSS links to training materials"}],"year_creation":2014},"legacy_ids":["bsg-000668","bsg-s000668"],"name":"FAIRsharing record for: Open Modeling EXchange format","abbreviation":"OMEX","url":"https://fairsharing.org/10.25504/FAIRsharing.27tnee","doi":"10.25504/FAIRsharing.27tnee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Modeling EXchange format (OMEX), together with the use of other standard formats from the Computational Modeling in Biology Network (COMBINE), is the basis of the COMBINE Archive, a single file that supports the exchange of all the information necessary for a modeling and simulation experiment in biology. An OMEX file is a ZIP container that includes a manifest file, listing the content of the archive, an optional metadata file adding information about the archive and its content, and the files describing the model.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12072},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12224},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16915}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Systems Biology"],"domains":["Mathematical model","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","New Zealand","United Kingdom","United States","European Union"],"publications":[{"id":1181,"pubmed_id":25494900,"title":"COMBINE archive and OMEX format: one file to share all information to reproduce a modeling project.","year":2014,"url":"http://doi.org/10.1186/s12859-014-0369-z","authors":"Bergmann FT,Adams R,Moodie S,Cooper J,Glont M,Golebiewski M,Hucka M,Laibe C,Miller AK,Nickerson DP,Olivier BG,Rodriguez N,Sauro HM,Scharm M,Soiland-Reyes S,Waltemath D,Yvon F,Le Novere N","journal":"BMC Bioinformatics","doi":"10.1186/s12859-014-0369-z","created_at":"2021-09-30T08:24:31.292Z","updated_at":"2021-09-30T08:24:31.292Z"}],"licence_links":[],"grants":[{"id":6905,"fairsharing_record_id":1161,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:28:18.293Z","updated_at":"2021-09-30T09:31:17.746Z","grant_id":1106,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115156","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6904,"fairsharing_record_id":1161,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:18.251Z","updated_at":"2021-09-30T09:28:18.251Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6908,"fairsharing_record_id":1161,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:18.414Z","updated_at":"2021-09-30T09:29:34.093Z","grant_id":304,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/I017909/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6906,"fairsharing_record_id":1161,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:18.333Z","updated_at":"2021-09-30T09:31:58.042Z","grant_id":1409,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM070923","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6907,"fairsharing_record_id":1161,"organisation_id":2851,"relation":"funds","created_at":"2021-09-30T09:28:18.376Z","updated_at":"2021-09-30T09:32:07.317Z","grant_id":1478,"is_lead":false,"saved_state":{"id":2851,"name":"The Virtual Physiological Rat Project","grant":"NIH P50-GM094503","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1162","type":"fairsharing_records","attributes":{"created_at":"2018-08-12T09:39:15.000Z","updated_at":"2024-05-02T09:57:31.593Z","metadata":{"doi":"10.25504/FAIRsharing.2e0599","name":"Component Metadata Specification","status":"ready","contacts":[{"contact_name":"CMDI Helpdesk","contact_email":"cmdi@clarin.eu"}],"homepage":"https://www.clarin.eu/cmdi","citations":[],"identifier":1162,"description":"CDMI is a standardised format for describing the components of metadata. The format is customisiable and compatible with other metadata formats. It provides a framework to describe and reuse metadata blueprints. Description building blocks (“components”, which include field definitions) can be grouped into a ready-made description format (a “profile”). Both are stored and shared with other users in the Component Registry to promote reuse. Each metadata record is then expressed as an XML file, including a link to the profile on which it is based.","abbreviation":"CMDI","support_links":[{"url":"https://www.clarin.eu/blog/cmdi-12-has-arrived","name":"Announcing CDMI 1.2","type":"Blog/News"},{"url":"https://www.clarin.eu/faq-page/267","name":"CDMI FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.clarin.eu/cmdi","name":"About Component Metadata","type":"Help documentation"},{"url":"https://www.clarin.eu/cmdi1.2-specification","name":"Technical Specification Metadata","type":"Help documentation"},{"url":"http://hdl.handle.net/11372/CMDI-0001","name":"CDMI Toolkit (GitHub)","type":"Help documentation"},{"url":"https://github.com/clarin-eric/awesome-cmdi","name":"Awesome Component Metadata Infrastrucutre (CMDI): A curated list of CMDI services, tools and documentation","type":"Help documentation"},{"url":"cmdi@clarin.eu","name":"cmdi@clarin.eu","type":"Support email"},{"url":"https://forum.clarin.eu/tag/metadata","name":"CLARIN forum","type":"Forum"}],"year_creation":2012,"associated_tools":[{"url":"https://github.com/clarin-eric/cmdi-toolkit/","name":"CMDI 1.2 toolkit"}]},"legacy_ids":["bsg-001232","bsg-s001232"],"name":"FAIRsharing record for: Component Metadata Specification","abbreviation":"CMDI","url":"https://fairsharing.org/10.25504/FAIRsharing.2e0599","doi":"10.25504/FAIRsharing.2e0599","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDMI is a standardised format for describing the components of metadata. The format is customisiable and compatible with other metadata formats. It provides a framework to describe and reuse metadata blueprints. Description building blocks (“components”, which include field definitions) can be grouped into a ready-made description format (a “profile”). Both are stored and shared with other users in the Component Registry to promote reuse. Each metadata record is then expressed as an XML file, including a link to the profile on which it is based.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Humanities and Social Science","Linguistics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands"],"publications":[{"id":3766,"pubmed_id":null,"title":"Component Metadata Infrastructure","year":2022,"url":"https://doi.org/10.1515/9783110767377-008","authors":"Windhouwer, Menzo; Goosen, Twan; ","journal":"CLARIN","doi":"10.1515/9783110767377-008","created_at":"2023-01-05T11:02:14.204Z","updated_at":"2023-01-05T11:02:14.204Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1227,"relation":"undefined"}],"grants":[{"id":6909,"fairsharing_record_id":1162,"organisation_id":566,"relation":"maintains","created_at":"2021-09-30T09:28:18.451Z","updated_at":"2021-09-30T09:28:18.451Z","grant_id":null,"is_lead":true,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure (CLARIN) European Research Infrastructure Consortium (ERIC), Utrecht University, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1163","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:16:20.570Z","metadata":{"doi":"10.25504/FAIRsharing.2m4ms9","name":"Protein MODification","status":"ready","contacts":[{"contact_name":"John S Garavelli","contact_email":"john.garavelli@ebi.ac.uk"}],"homepage":"http://www.psidev.info/groups/protein-modifications","citations":[{"doi":"10.1038/nbt0808-864","pubmed_id":18688235,"publication_id":975}],"identifier":1163,"description":"PSI-MOD is an ontology consisting of terms that describe protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified.","abbreviation":"PSI-MOD","support_links":[{"url":"pierre-alain.binz@chuv.ch","name":"Pierre-Alain Binz","type":"Support email"},{"url":"psidev-mod-vocab@lists.sourceforge.net","name":"PSI-MOD Mailing List","type":"Mailing list"},{"url":"https://sourceforge.net/p/psidev/mod-controlled-vocab-changes/","name":"PSI-MOD Changelist","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PSIMOD","name":"PSIMOD","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mod.html","name":"mod","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000138","bsg-s000138"],"name":"FAIRsharing record for: Protein MODification","abbreviation":"PSI-MOD","url":"https://fairsharing.org/10.25504/FAIRsharing.2m4ms9","doi":"10.25504/FAIRsharing.2m4ms9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PSI-MOD is an ontology consisting of terms that describe protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11143},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11426}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Enzymatic reaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Switzerland","United Kingdom","United States"],"publications":[{"id":975,"pubmed_id":18688235,"title":"The PSI-MOD community standard for representation of protein modification data.","year":2008,"url":"http://doi.org/10.1038/nbt0808-864","authors":"Montecchi-Palazzi L,Beavis R,Binz PA,Chalkley RJ,Cottrell J,Creasy D,Shofstahl J,Seymour SL,Garavelli JS","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-864","created_at":"2021-09-30T08:24:07.863Z","updated_at":"2021-09-30T08:24:07.863Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1396,"relation":"undefined"}],"grants":[{"id":6910,"fairsharing_record_id":1163,"organisation_id":1288,"relation":"maintains","created_at":"2021-09-30T09:28:18.564Z","updated_at":"2021-09-30T09:28:18.564Z","grant_id":null,"is_lead":true,"saved_state":{"id":1288,"name":"HUPO-PSI initiative; MOD administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1165","type":"fairsharing_records","attributes":{"created_at":"2018-08-16T22:11:44.000Z","updated_at":"2023-09-29T11:54:59.784Z","metadata":{"doi":"10.25504/FAIRsharing.51fdf0","name":"Language resource management -- Semantic annotation framework (SemAF) -- Part 2: Dialogue acts","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/51967.html","citations":[],"identifier":1165,"description":"ISO 24617-2:2012 provides a set of empirically and theoretically well-motivated concepts for dialogue annotation, a formal language for expressing dialogue annotations -- the dialogue act markup language (DiAML) -- and a method for segmenting a dialogue into semantic units. This allows the manual or automatic annotation of dialogue segments with information about the communicative actions which the participants perform by their contributions to the dialogue. It supports multidimensional annotation, in which units in dialogue are viewed as having multiple communicative functions. The DiAML language has an XML-based representation format and a formal semantics which makes it possible to apply inference to DiAML representations. Please note that, although this specification is current, a new revision of it is under development.","abbreviation":"ISO 24617-2:2012","support_links":[{"url":"https://www.iso.org/contents/data/standard/05/19/51967.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2012},"legacy_ids":["bsg-001236","bsg-s001236"],"name":"FAIRsharing record for: Language resource management -- Semantic annotation framework (SemAF) -- Part 2: Dialogue acts","abbreviation":"ISO 24617-2:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.51fdf0","doi":"10.25504/FAIRsharing.51fdf0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24617-2:2012 provides a set of empirically and theoretically well-motivated concepts for dialogue annotation, a formal language for expressing dialogue annotations -- the dialogue act markup language (DiAML) -- and a method for segmenting a dialogue into semantic units. This allows the manual or automatic annotation of dialogue segments with information about the communicative actions which the participants perform by their contributions to the dialogue. It supports multidimensional annotation, in which units in dialogue are viewed as having multiple communicative functions. The DiAML language has an XML-based representation format and a formal semantics which makes it possible to apply inference to DiAML representations. Please note that, although this specification is current, a new revision of it is under development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation","Curated information"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":980,"relation":"undefined"}],"grants":[{"id":6911,"fairsharing_record_id":1165,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:18.619Z","updated_at":"2021-09-30T09:28:18.619Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10931,"fairsharing_record_id":1165,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:22:05.601Z","updated_at":"2023-09-27T14:22:05.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1139","type":"fairsharing_records","attributes":{"created_at":"2018-11-21T19:51:48.000Z","updated_at":"2023-03-14T17:42:02.983Z","metadata":{"doi":"10.25504/FAIRsharing.HU7Kz2","name":"CDISC Questionnaires, Ratings and Scales","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/foundational/qrs","citations":[],"identifier":1139,"description":"CDISC develops SDTM (tabulation) and ADaM (analysis) QRS supplements that provide information on how to structure the data in a standard format for public domain and copyright-approved instruments. An instrument is a series of questions, tasks or assessments used in clinical research to provide a qualitative or quantitative assessment of a clinical concept or task-based observation. Controlled Terminology is also developed to be used with the supplements.","abbreviation":"CDISC QRS"},"legacy_ids":["bsg-001336","bsg-s001336"],"name":"FAIRsharing record for: CDISC Questionnaires, Ratings and Scales","abbreviation":"CDISC QRS","url":"https://fairsharing.org/10.25504/FAIRsharing.HU7Kz2","doi":"10.25504/FAIRsharing.HU7Kz2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC develops SDTM (tabulation) and ADaM (analysis) QRS supplements that provide information on how to structure the data in a standard format for public domain and copyright-approved instruments. An instrument is a series of questions, tasks or assessments used in clinical research to provide a qualitative or quantitative assessment of a clinical concept or task-based observation. Controlled Terminology is also developed to be used with the supplements.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12128}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Clinical Studies"],"domains":["Disease","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Structured data"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6858,"fairsharing_record_id":1139,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:16.649Z","updated_at":"2021-09-30T09:28:16.649Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6857,"fairsharing_record_id":1139,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:16.565Z","updated_at":"2021-09-30T09:28:16.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1140","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T12:56:36.000Z","updated_at":"2023-06-05T06:22:36.815Z","metadata":{"doi":"10.25504/FAIRsharing.8DrzMv","name":"Sociology Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/3JP/en/","citations":[],"identifier":1140,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Sociology\" FRANCIS database (1972-2015). It consists of 5275 entries in 2 languages (English, French).","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001408","bsg-s001408"],"name":"FAIRsharing record for: Sociology Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8DrzMv","doi":"10.25504/FAIRsharing.8DrzMv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Sociology\" FRANCIS database (1972-2015). It consists of 5275 entries in 2 languages (English, French).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11299}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Sociological Theory","Humanities and Social Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Sociology"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1682,"relation":"undefined"}],"grants":[{"id":6859,"fairsharing_record_id":1140,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.701Z","updated_at":"2021-09-30T09:28:16.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6860,"fairsharing_record_id":1140,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.726Z","updated_at":"2021-09-30T09:28:16.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1141","type":"fairsharing_records","attributes":{"created_at":"2017-11-09T11:06:03.000Z","updated_at":"2022-07-20T10:47:53.565Z","metadata":{"doi":"10.25504/FAIRsharing.q81k8w","name":"Strengthening the Reporting of Observational Studies in Epidemiology—Nutritional Epidemiology","status":"ready","contacts":[{"contact_name":"Carl Lachat","contact_email":"carl.lachat@ugent.be","contact_orcid":"0000-0002-1389-8855"}],"homepage":"http://www.strobe-nut.org","citations":[],"identifier":1141,"description":"STROBE-nut is a guideline for reporting nutrition epidemiology and dietary assessment research by extending the STROBE statement into the STROBE Extension for Nutritional Epidemiology (STROBE-nut).","abbreviation":"STROBE-nut","support_links":[{"url":"https://www.strobe-nut.ugent.be/content/how-use-strobe-nut","name":"how-use-strobe-nut","type":"Help documentation"},{"url":"https://www.strobe-nut.ugent.be/content/consortium","type":"Contact form"}],"year_creation":2016},"legacy_ids":["bsg-001089","bsg-s001089"],"name":"FAIRsharing record for: Strengthening the Reporting of Observational Studies in Epidemiology—Nutritional Epidemiology","abbreviation":"STROBE-nut","url":"https://fairsharing.org/10.25504/FAIRsharing.q81k8w","doi":"10.25504/FAIRsharing.q81k8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STROBE-nut is a guideline for reporting nutrition epidemiology and dietary assessment research by extending the STROBE statement into the STROBE Extension for Nutritional Epidemiology (STROBE-nut).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17363},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12533},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14546}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Nutritional Science","Biomedical Science"],"domains":["Food","Diet","Observation design"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Food pairing"],"countries":["Belgium","France","Sweden","United Kingdom"],"publications":[{"id":134,"pubmed_id":27270749,"title":"Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology (STROBE-nut): An Extension of the STROBE Statement","year":2016,"url":"http://doi.org/10.1371/journal.pmed.1002036","authors":"Lachat C, Hawwash D, Ocké MC, Berg C, Forsum E, Hörnell A, Larsson CL, Sonestedt E, Wirfält E, Åkesson A, Kolsteren P, Byrnes G, De Keyzer W, Van Camp J, Cade JE, Slimani N, Cevallos M, Egger M, Huybrechts I","journal":"Plos Medicine","doi":"10.1371/journal.pmed.1002036","created_at":"2021-09-30T08:22:34.681Z","updated_at":"2021-09-30T08:22:34.681Z"},{"id":142,"pubmed_id":27587981,"title":"Strengthening the Reporting of Observational Studies in Epidemiology - nutritional epidemiology (STROBE-nut): An extension of the STROBE statement","year":2016,"url":"http://doi.org/10.1111/nbu.12217","authors":"Lachat C, Hawwash D, Ocké MC, Berg C, Forsum E, Hörnell A, Larsson CL, Sonestedt E, Wirfält E, Åkesson A, Kolsteren P, Byrnes G, De Keyzer W, Van Camp J, Cade JE, Slimani N, Cevallos M, Egger M, Huybrechts I","journal":"Nutrition bulletin","doi":"10.1111/nbu.12217","created_at":"2021-09-30T08:22:35.506Z","updated_at":"2021-09-30T08:22:35.506Z"},{"id":1957,"pubmed_id":28916567,"title":"Perspective: An Extension of the STROBE Statement for Observational Studies in Nutritional Epidemiology (STROBE-nut): Explanation and Elaboration","year":2017,"url":"http://doi.org/10.3945/an.117.015941","authors":"Agneta Hörnell et al.","journal":"Advances in nutrition","doi":"10.3945/an.117.015941","created_at":"2021-09-30T08:26:00.231Z","updated_at":"2021-09-30T08:26:00.231Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1511,"relation":"undefined"}],"grants":[{"id":6861,"fairsharing_record_id":1141,"organisation_id":3299,"relation":"maintains","created_at":"2021-09-30T09:28:16.750Z","updated_at":"2021-11-09T11:28:29.421Z","grant_id":null,"is_lead":true,"saved_state":{"id":3299,"name":"UGent","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1142","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:20:34.000Z","updated_at":"2023-06-02T15:17:18.808Z","metadata":{"doi":"10.25504/FAIRsharing.9yHHCp","name":"Electronics and Optoelectronics Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/RDR/en/","citations":[],"identifier":1142,"description":"Vocabulary used for indexing bibliographical records dealing with “Electronics” in the PASCAL database, until 2014. This resource consists of 4454 entries in 3 languages (English, French and Spanish) classified under 19 collections.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001413","bsg-s001413"],"name":"FAIRsharing record for: Electronics and Optoelectronics Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9yHHCp","doi":"10.25504/FAIRsharing.9yHHCp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Vocabulary used for indexing bibliographical records dealing with “Electronics” in the PASCAL database, until 2014. This resource consists of 4454 entries in 3 languages (English, French and Spanish) classified under 19 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11298}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Component Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Electronics","Optoelectronics","Semiconductor electronics"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1108,"relation":"undefined"}],"grants":[{"id":6862,"fairsharing_record_id":1142,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.776Z","updated_at":"2021-09-30T09:28:16.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6863,"fairsharing_record_id":1142,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.801Z","updated_at":"2021-09-30T09:28:16.801Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1155","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:52:04.392Z","metadata":{"doi":"10.25504/FAIRsharing.kay31r","name":"Comparative Data Analysis Ontology","status":"ready","contacts":[{"contact_name":"Jim Balhoff","contact_email":"balhoff@gmail.com","contact_orcid":"0000-0002-8688-6599"}],"homepage":"https://github.com/evoinfo/cdao","citations":[{"doi":"10.4137/ebo.s2320","pubmed_id":19812726,"publication_id":2729}],"identifier":1155,"description":"Comparative Data Analysis Ontology (CDAO) is a formalization of concepts and relations relevant to evolutionary comparative analysis, such as phylogenetic trees, OTUs (operational taxonomic units) and compared characters (including molecular characters as well as other types).","abbreviation":"CDAO","support_links":[{"url":"https://github.com/evoinfo/cdao/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CDAO","name":"CDAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cdao.html","name":"cdao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002618","bsg-s002618"],"name":"FAIRsharing record for: Comparative Data Analysis Ontology","abbreviation":"CDAO","url":"https://fairsharing.org/10.25504/FAIRsharing.kay31r","doi":"10.25504/FAIRsharing.kay31r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Comparative Data Analysis Ontology (CDAO) is a formalization of concepts and relations relevant to evolutionary comparative analysis, such as phylogenetic trees, OTUs (operational taxonomic units) and compared characters (including molecular characters as well as other types).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12018}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular biology","Bioinformatics","Taxonomy","Phylogenetics","Evolutionary Biology","Life Science","Biomedical Science"],"domains":["Evolution"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2729,"pubmed_id":19812726,"title":"Initial implementation of a comparative data analysis ontology.","year":2009,"url":"http://doi.org/10.4137/ebo.s2320","authors":"Prosdocimi F,Chisham B,Pontelli E,Thompson JD,Stoltzfus A","journal":"Evol Bioinform Online","doi":"10.4137/ebo.s2320","created_at":"2021-09-30T08:27:35.187Z","updated_at":"2021-09-30T08:27:35.187Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1770,"relation":"undefined"}],"grants":[{"id":6891,"fairsharing_record_id":1155,"organisation_id":387,"relation":"maintains","created_at":"2021-09-30T09:28:17.741Z","updated_at":"2021-09-30T09:28:17.741Z","grant_id":null,"is_lead":true,"saved_state":{"id":387,"name":"CDAO Developers","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1156","type":"fairsharing_records","attributes":{"created_at":"2016-01-21T10:30:34.000Z","updated_at":"2022-07-20T10:26:09.666Z","metadata":{"doi":"10.25504/FAIRsharing.s19src","name":"Systems Biology Ontology","status":"ready","contacts":[{"contact_name":"BioModels Support","contact_email":"biomodels-net-support@lists.sf.net"}],"homepage":"http://www.ebi.ac.uk/sbo/","citations":[],"identifier":1156,"description":"The Systems Biology Ontology is a set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modelling. It consists of seven orthogonal vocabularies defining: reaction participants roles (e.g. \"substrate\"), quantitative parameters (e.g. \"Michaelis constant\"), classification of mathematical expressions describing the system (e.g. \"mass action rate law\"), modelling framework used (e.g. \"logical framework\"), the nature of the entity (e.g. \"macromolecule\"), the type of interaction (e.g. \"process\"), as well as a branch to define the different types of metadata that may be present within a model. Use of such terms introduces a layer of semantic information into the standard description of a model, facilitating its interpretation and efficient reuse.","abbreviation":"SBO","support_links":[{"url":"http://www.ebi.ac.uk/sbo/main/static?page=FAQ","name":"SBO FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://sourceforge.net/p/sbo/","name":"Sourceforge Project","type":"Help documentation"},{"url":"http://www.ebi.ac.uk/sbo/main/static?page=contribute","name":"Contribute to SBO","type":"Help documentation"},{"url":"https://twitter.com/biomodels","name":"@biomodels","type":"Twitter"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SBO","name":"SBO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/sbo.html","name":"sbo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000637","bsg-s000637"],"name":"FAIRsharing record for: Systems Biology Ontology","abbreviation":"SBO","url":"https://fairsharing.org/10.25504/FAIRsharing.s19src","doi":"10.25504/FAIRsharing.s19src","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systems Biology Ontology is a set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modelling. It consists of seven orthogonal vocabularies defining: reaction participants roles (e.g. \"substrate\"), quantitative parameters (e.g. \"Michaelis constant\"), classification of mathematical expressions describing the system (e.g. \"mass action rate law\"), modelling framework used (e.g. \"logical framework\"), the nature of the entity (e.g. \"macromolecule\"), the type of interaction (e.g. \"process\"), as well as a branch to define the different types of metadata that may be present within a model. Use of such terms introduces a layer of semantic information into the standard description of a model, facilitating its interpretation and efficient reuse.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11178},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12071},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12223},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16994}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Systems Biology"],"domains":["Mathematical model","Modeling and simulation","Molecular interaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":22,"pubmed_id":22027554,"title":"Controlled vocabularies and semantics in systems biology.","year":2011,"url":"http://doi.org/10.1038/msb.2011.77","authors":"Courtot M,Juty N,Knupfer C et al.","journal":"Mol Syst Biol","doi":"10.1038/msb.2011.77","created_at":"2021-09-30T08:22:22.740Z","updated_at":"2021-09-30T08:22:22.740Z"}],"licence_links":[{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":23,"relation":"undefined"}],"grants":[{"id":6893,"fairsharing_record_id":1156,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:28:17.835Z","updated_at":"2021-09-30T09:28:17.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6896,"fairsharing_record_id":1156,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:17.980Z","updated_at":"2021-09-30T09:28:17.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6892,"fairsharing_record_id":1156,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:17.784Z","updated_at":"2021-09-30T09:28:17.784Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6894,"fairsharing_record_id":1156,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:17.893Z","updated_at":"2021-09-30T09:28:17.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6895,"fairsharing_record_id":1156,"organisation_id":2498,"relation":"maintains","created_at":"2021-09-30T09:28:17.943Z","updated_at":"2021-09-30T09:28:17.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":2498,"name":"SBML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1157","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-03T10:48:35.352Z","metadata":{"doi":"10.25504/FAIRsharing.m0e1s0","name":"SoyOntology","status":"ready","contacts":[{"contact_name":"David Grant","contact_email":"david.grant@ars.usda.gov"}],"homepage":"https://soybase.org/ontology.php","citations":[],"identifier":1157,"description":"This is a community-curated controlled vocabulary for soybean field growth stages (Soybean Whole Plant Growth Ontology), plant structure names (Soybean Structure Ontology), development (Soybean Development Ontology) and plant traits (Soybean Trait Ontology). Where applicable, soybean specific terms have been associated with their Plant Ontology (PO) and Gramene Plant Trait Ontology (TO) synonyms to facilitate cross species comparisons. Currently, there are 4 divisions to SOY terms, soybean structural terms (Soybean Structure Ontology), developmental stages (Soybean Developmental Ontology), whole plant development terms (Soybean Whole Plant Growth Stages) and trait terms (Soybean Trait Ontology). For the trait, structure and development terms the old SoyTO and SoyGRO accessions have been added to their records as synonyms for continuity.","abbreviation":"SOY","support_links":[{"url":"https://bit.ly/SoyBase-Contact-Us","name":"Contact SoyBase","type":"Contact form"},{"url":"https://soybase.org/tutorials/","name":"SoyBase Tutorials","type":"Training documentation"},{"url":"https://twitter.com/SoyBaseDatabase","name":"@SoyBaseDatabase","type":"Twitter"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SOY","name":"SOY","portal":"BioPortal"}]},"legacy_ids":["bsg-002798","bsg-s002798"],"name":"FAIRsharing record for: SoyOntology","abbreviation":"SOY","url":"https://fairsharing.org/10.25504/FAIRsharing.m0e1s0","doi":"10.25504/FAIRsharing.m0e1s0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a community-curated controlled vocabulary for soybean field growth stages (Soybean Whole Plant Growth Ontology), plant structure names (Soybean Structure Ontology), development (Soybean Development Ontology) and plant traits (Soybean Trait Ontology). Where applicable, soybean specific terms have been associated with their Plant Ontology (PO) and Gramene Plant Trait Ontology (TO) synonyms to facilitate cross species comparisons. Currently, there are 4 divisions to SOY terms, soybean structural terms (Soybean Structure Ontology), developmental stages (Soybean Developmental Ontology), whole plant development terms (Soybean Whole Plant Growth Stages) and trait terms (Soybean Trait Ontology). For the trait, structure and development terms the old SoyTO and SoyGRO accessions have been added to their records as synonyms for continuity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Anatomy","Agriculture","Developmental Biology"],"domains":["Phenotype","Life cycle stage"],"taxonomies":["Glycine max","Glycine soja"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1336,"pubmed_id":20008513,"title":"SoyBase, the USDA-ARS soybean genetics and genomics database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp798","authors":"Grant D., Nelson RT., Cannon SB., Shoemaker RC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp798","created_at":"2021-09-30T08:24:49.518Z","updated_at":"2021-09-30T08:24:49.518Z"}],"licence_links":[{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1759,"relation":"undefined"}],"grants":[{"id":6899,"fairsharing_record_id":1157,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:28:18.061Z","updated_at":"2021-09-30T09:28:18.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6897,"fairsharing_record_id":1157,"organisation_id":2605,"relation":"maintains","created_at":"2021-09-30T09:28:18.012Z","updated_at":"2021-09-30T09:28:18.012Z","grant_id":null,"is_lead":true,"saved_state":{"id":2605,"name":"SOY Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6898,"fairsharing_record_id":1157,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:28:18.036Z","updated_at":"2021-09-30T09:28:18.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1169","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:53:04.079Z","metadata":{"doi":"10.25504/FAIRsharing.na5xp","name":"Statistics Ontology","status":"ready","contacts":[{"contact_name":"Philippe Rocca-Serra","contact_email":"philippe.rocca-serra@oerc.ox.ac.uk","contact_orcid":"0000-0001-9853-5668"}],"homepage":"http://stato-ontology.org/","citations":[],"identifier":1169,"description":"STATO is a general-purpose STATistics Ontology. Its aim is to provide coverage for processes such as statistical tests, their conditions of applications, and information needed or resulting from statistical methods, such as probability distributions, variable, spread and variation metrics. STATO also covers aspects of experimental design and description of plots and graphical representations commonly used to provide visual cues of data distribution or layout and to assist review of the results.","abbreviation":"STATO","support_links":[{"url":"https://github.com/ISA-tools/stato/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"stat-ontology@googlegroups.com","name":"STATO Google Group","type":"Mailing list"},{"url":"https://github.com/ISA-tools/stato","name":"GitHub Repository","type":"Github"},{"url":"http://frog.oerc.ox.ac.uk:8080/stato-app/queryCases.jsp","name":"STATO Query Cases","type":"Help documentation"},{"url":"http://frog.oerc.ox.ac.uk:8080/stato-app/useCases.jsp","name":"Users and Use Cases","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/STATO","name":"STATO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/stato.html","name":"stato","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000548","bsg-s000548"],"name":"FAIRsharing record for: Statistics Ontology","abbreviation":"STATO","url":"https://fairsharing.org/10.25504/FAIRsharing.na5xp","doi":"10.25504/FAIRsharing.na5xp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STATO is a general-purpose STATistics Ontology. Its aim is to provide coverage for processes such as statistical tests, their conditions of applications, and information needed or resulting from statistical methods, such as probability distributions, variable, spread and variation metrics. STATO also covers aspects of experimental design and description of plots and graphical representations commonly used to provide visual cues of data distribution or layout and to assist review of the results.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10883},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11285},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12045}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Statistics","Data Visualization"],"domains":["Experimental measurement","Graph","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1703,"relation":"undefined"}],"grants":[{"id":6916,"fairsharing_record_id":1169,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:18.796Z","updated_at":"2021-09-30T09:28:18.796Z","grant_id":null,"is_lead":true,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1170","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.041Z","metadata":{"doi":"10.25504/FAIRsharing.tbep2b","name":"Physical Medicine and Rehabilitation","status":"deprecated","contacts":[{"contact_name":"Laia Subirats","contact_email":"laia.subirats@gmail.com","contact_orcid":"0000-0001-8646-5463"}],"homepage":"https://bioportal.bioontology.org/ontologies/PMR","identifier":1170,"description":"Knowledge representation related to computer-based decision support in rehabilitation; concepts and relationships in the rehabilitation domain, integrating clinical practice, the ICD (specifically its 11th revision), the clinical investigator record ontology, the ICF and SNOMED CT.","abbreviation":"PhyMeRe","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PMR","name":"PMR","portal":"BioPortal"}],"deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002788","bsg-s002788"],"name":"FAIRsharing record for: Physical Medicine and Rehabilitation","abbreviation":"PhyMeRe","url":"https://fairsharing.org/10.25504/FAIRsharing.tbep2b","doi":"10.25504/FAIRsharing.tbep2b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Knowledge representation related to computer-based decision support in rehabilitation; concepts and relationships in the rehabilitation domain, integrating clinical practice, the ICD (specifically its 11th revision), the clinical investigator record ontology, the ICF and SNOMED CT.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1171","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-20T12:32:12.119Z","metadata":{"doi":"10.25504/FAIRsharing.g1qrqs","name":"Planarian Anatomy and Developmental Stage Ontology","status":"ready","contacts":[{"contact_name":"Sofia Robb","contact_email":"smr@stowers.org"}],"homepage":"https://planosphere.stowers.org/anatomyontology","identifier":1171,"description":"Anatomy ontology for planaria and terms specific to the developmental stages of the planarian Schmidtea mediterranea. As the regenerative flatworm Schmidtea mediterranea gains popularity as a developmental research organism the need for standard nomenclature and a centralized repository of anatomical terms has become increasingly apparent. Utilization of a controlled vocabulary creates opportunities to catalogue genes and expression data for computational searches across research groups and cross-species comparisons, all while establishing a framework for integration of new terms. We created a Planarian Anatomy Ontology containing 327 terms and definitions for cellular organelles, cell types, tissues, organ systems, anatomical entities, life cycle stages and developmental processes described in the literature. Where possible, extant terms and definitions from Uberon and other open source anatomy ontologies were imported into the ontology to strengthen cross-species queries.","abbreviation":"PLANA","support_links":[{"url":"planosphere@stowers.org","name":"Planosphere Helpdesk","type":"Support email"},{"url":"https://github.com/obophenotype/planaria-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PLANA","name":"PLANA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/plana.html","name":"plana","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000987","bsg-s000987"],"name":"FAIRsharing record for: Planarian Anatomy and Developmental Stage Ontology","abbreviation":"PLANA","url":"https://fairsharing.org/10.25504/FAIRsharing.g1qrqs","doi":"10.25504/FAIRsharing.g1qrqs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Anatomy ontology for planaria and terms specific to the developmental stages of the planarian Schmidtea mediterranea. As the regenerative flatworm Schmidtea mediterranea gains popularity as a developmental research organism the need for standard nomenclature and a centralized repository of anatomical terms has become increasingly apparent. Utilization of a controlled vocabulary creates opportunities to catalogue genes and expression data for computational searches across research groups and cross-species comparisons, all while establishing a framework for integration of new terms. We created a Planarian Anatomy Ontology containing 327 terms and definitions for cellular organelles, cell types, tissues, organ systems, anatomical entities, life cycle stages and developmental processes described in the literature. Where possible, extant terms and definitions from Uberon and other open source anatomy ontologies were imported into the ontology to strengthen cross-species queries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Organelle","Organ","Tissue"],"taxonomies":["Schmidtea mediterranea"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":63,"relation":"undefined"}],"grants":[{"id":6917,"fairsharing_record_id":1171,"organisation_id":2648,"relation":"maintains","created_at":"2021-09-30T09:28:18.820Z","updated_at":"2021-09-30T09:28:18.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2648,"name":"Stowers Institute for Medical Research, Kansas City, MO, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1172","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:48.450Z","metadata":{"doi":"10.25504/FAIRsharing.6cs4bf","name":"Analytical Information Markup Language","status":"in_development","contacts":[{"contact_name":"Gary Kramer","contact_email":"gary.kramer@nist.gov"}],"homepage":"http://animl.sourceforge.net/","identifier":1172,"description":"The Analytical Information Markup Language (AnIML) is the emerging ASTM XML standard for analytical chemistry data. It is currently in pre-release form.","abbreviation":"AnIML","support_links":[{"url":"https://www.animl.org/presentations","type":"Help documentation"},{"url":"https://twitter.com/AnIML","type":"Twitter"}],"year_creation":2003},"legacy_ids":["bsg-000545","bsg-s000545"],"name":"FAIRsharing record for: Analytical Information Markup Language","abbreviation":"AnIML","url":"https://fairsharing.org/10.25504/FAIRsharing.6cs4bf","doi":"10.25504/FAIRsharing.6cs4bf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Analytical Information Markup Language (AnIML) is the emerging ASTM XML standard for analytical chemistry data. It is currently in pre-release form.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11727}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Mass spectrum","Analysis","Nuclear Magnetic Resonance (NMR) spectroscopy","Raman spectroscopy","Infared spectroscopy","Ultraviolet-visible spectroscopy","Material processing"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Germany","Hungary","Switzerland","United States"],"publications":[{"id":630,"pubmed_id":null,"title":"Documenting laboratory workflows using the Analytical Information Markup Language","year":2004,"url":"http://doi.org/10.1016/j.jala.2004.10.003","authors":"Burkhard A. Schaefer, Dominik Poetz, and Gary W. Kramer","journal":"Journal of Laboratory Automation","doi":"10.1016/j.jala.2004.10.003","created_at":"2021-09-30T08:23:29.225Z","updated_at":"2021-09-30T08:23:29.225Z"},{"id":2146,"pubmed_id":null,"title":"Automated Generation of AnIML Documents by Analytical Instruments","year":2004,"url":"http://doi.org/10.1016/j.jala.2006.05.013","authors":"Alexander Roth, Ronny Jopp, Reinhold Schaefer, and Gary W. Kramer","journal":"Journal of Laboratory Automation","doi":"10.1016/j.jala.2006.05.013","created_at":"2021-09-30T08:26:21.866Z","updated_at":"2021-09-30T08:26:21.866Z"}],"licence_links":[],"grants":[{"id":6920,"fairsharing_record_id":1172,"organisation_id":328,"relation":"maintains","created_at":"2021-09-30T09:28:18.905Z","updated_at":"2021-09-30T09:28:18.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":328,"name":"BSSN Software","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6919,"fairsharing_record_id":1172,"organisation_id":126,"relation":"maintains","created_at":"2021-09-30T09:28:18.873Z","updated_at":"2021-09-30T09:28:18.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":126,"name":"ASTM E13.15 Standards Committee","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6921,"fairsharing_record_id":1172,"organisation_id":3222,"relation":"maintains","created_at":"2021-09-30T09:28:18.943Z","updated_at":"2021-09-30T09:28:18.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":3222,"name":"Waters Corporation","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6922,"fairsharing_record_id":1172,"organisation_id":2025,"relation":"maintains","created_at":"2021-09-30T09:28:18.985Z","updated_at":"2021-09-30T09:28:18.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":2025,"name":"National Institute of Standards and Technology (NIST), Gaithersburg MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9328,"fairsharing_record_id":1172,"organisation_id":403,"relation":"maintains","created_at":"2022-04-11T12:07:30.726Z","updated_at":"2022-04-11T12:07:30.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1174","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:54.571Z","metadata":{"doi":"10.25504/FAIRsharing.2hzttx","name":"Breast Cancer Grading Ontology","status":"uncertain","contacts":[{"contact_name":"Alexandra Bulzan","contact_email":"alex27bulzan@yahoo.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1304","identifier":1174,"description":"Breast Cancer Grading Ontology assigns a grade to a tumor starting from the 3 criteria of the NGS.","abbreviation":"BCGO","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BCGO","name":"BCGO","portal":"BioPortal"}]},"legacy_ids":["bsg-002596","bsg-s002596"],"name":"FAIRsharing record for: Breast Cancer Grading Ontology","abbreviation":"BCGO","url":"https://fairsharing.org/10.25504/FAIRsharing.2hzttx","doi":"10.25504/FAIRsharing.2hzttx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Breast Cancer Grading Ontology assigns a grade to a tumor starting from the 3 criteria of the NGS.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Cancer","Tumor","Tumor grading","Disease","Diagnosis","Mammary gland"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1175","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.161Z","metadata":{"doi":"10.25504/FAIRsharing.93ee19","name":"Anatomical Entity Ontology","status":"ready","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://www.obofoundry.org/ontology/aeo.html","identifier":1175,"description":"The AEO ontology of anatomical structures is a resource to facilitate the increase in knowledge in anatomy ontologies, supporting annotation and enabling compatibility with other anatomy ontologies. The ontology can be used to classify most organisms as its terms are appropriate for most plant and fungal tissues. It is envisaged that in future the ontology will include more non-animal anatomical terms.","abbreviation":"AEO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AEO","name":"AEO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/aeo.html","name":"aeo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000004","bsg-s000004"],"name":"FAIRsharing record for: Anatomical Entity Ontology","abbreviation":"AEO","url":"https://fairsharing.org/10.25504/FAIRsharing.93ee19","doi":"10.25504/FAIRsharing.93ee19","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AEO ontology of anatomical structures is a resource to facilitate the increase in knowledge in anatomy ontologies, supporting annotation and enabling compatibility with other anatomy ontologies. The ontology can be used to classify most organisms as its terms are appropriate for most plant and fungal tissues. It is envisaged that in future the ontology will include more non-animal anatomical terms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11939}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Fungi","Invertebrata","Plantae","Vertebrata"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":971,"pubmed_id":22347883,"title":"The AEO, an Ontology of Anatomical Entities for Classifying Animal Tissues and Organs.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00018","authors":"Bard JB","journal":"Front Genet","doi":"10.3389/fgene.2012.00018","created_at":"2021-09-30T08:24:07.430Z","updated_at":"2021-09-30T08:24:07.430Z"}],"licence_links":[],"grants":[{"id":6923,"fairsharing_record_id":1175,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:19.027Z","updated_at":"2021-09-30T09:28:19.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1177","type":"fairsharing_records","attributes":{"created_at":"2015-10-05T14:20:52.000Z","updated_at":"2022-07-20T12:43:27.143Z","metadata":{"doi":"10.25504/FAIRsharing.8frn6v","name":"Histoimmunogenetics Markup Language","status":"ready","contacts":[{"contact_name":"Martin Maiers","contact_email":"mmaiers@nmdp.org"}],"homepage":"https://bioinformatics.bethematchclinical.org/HLA-Resources/HML/","identifier":1177,"description":"Histoimmunogenetics Markup Language (HML) is intended as a potentially general-purpose XML format for exchanging genetic typing data. This format supports NGS based genotyping methods, raw sequence reads, registered methodologies, reference data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","abbreviation":"HML","support_links":[{"url":"bioinformatics-web@nmdp.org","type":"Support email"},{"url":"https://github.com/nmdp-bioinformatics/hml","type":"Github"}],"year_creation":1998},"legacy_ids":["bsg-000622","bsg-s000622"],"name":"FAIRsharing record for: Histoimmunogenetics Markup Language","abbreviation":"HML","url":"https://fairsharing.org/10.25504/FAIRsharing.8frn6v","doi":"10.25504/FAIRsharing.8frn6v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Histoimmunogenetics Markup Language (HML) is intended as a potentially general-purpose XML format for exchanging genetic typing data. This format supports NGS based genotyping methods, raw sequence reads, registered methodologies, reference data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunology","Life Science"],"domains":["Next generation DNA sequencing","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6924,"fairsharing_record_id":1177,"organisation_id":2810,"relation":"maintains","created_at":"2021-09-30T09:28:19.068Z","updated_at":"2021-09-30T09:28:19.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":2810,"name":"The National Marrow Donor Program (NMDP)","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1238","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:14.000Z","updated_at":"2024-03-21T13:58:13.351Z","metadata":{"doi":"10.25504/FAIRsharing.7rfpgs","name":"LINCS Extended Metadata Standard: Small molecules","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Small_Molecule_Metadata_2017.pdf","citations":[],"identifier":1238,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Small molecules are used as perturbagens in LINCS experiments. Small-molecule metadata also include substance-specific batch information, such as compound provider, salt form, molecular mass, purity, and aqueous solubility. For Food and Drug Administration–approved drugs, they proposed reporting additional information, such as drug indication and mechanism of action. If available, Protein Data Bank identifiers of corresponding target small-molecule co-crystal structures should also be reported.","abbreviation":"LINCS 2: Small molecules","support_links":[{"url":"https://lincsproject.org/LINCS/files/Small_Molecule_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000655","bsg-s000655"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Small molecules","abbreviation":"LINCS 2: Small molecules","url":"https://fairsharing.org/10.25504/FAIRsharing.7rfpgs","doi":"10.25504/FAIRsharing.7rfpgs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Small molecules are used as perturbagens in LINCS experiments. Small-molecule metadata also include substance-specific batch information, such as compound provider, salt form, molecular mass, purity, and aqueous solubility. For Food and Drug Administration–approved drugs, they proposed reporting additional information, such as drug indication and mechanism of action. If available, Protein Data Bank identifiers of corresponding target small-molecule co-crystal structures should also be reported.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11900},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12493}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Chemical Biology","Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Catalytic activity","Small molecule"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":7039,"fairsharing_record_id":1238,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:23.732Z","updated_at":"2021-09-30T09:28:23.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11544,"fairsharing_record_id":1238,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:13.159Z","updated_at":"2024-03-21T13:58:13.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1239","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:28:53.132Z","metadata":{"doi":"10.25504/FAIRsharing.zb33h5","name":"TAIR annotation data Format","status":"ready","contacts":[{"contact_name":"TAIR staff","contact_email":"curator@arabidopsis.org"}],"homepage":"http://www.arabidopsis.org/portals/genAnnotation/functional_annotation/go.jsp","citations":[],"identifier":1239,"description":"At TAIR, we display Gene Ontology and Plant Ontology annotations made by TAIR curators and those made by the community including individual researchers and contributors to the GO Consortium. The GO annotations in TAIR are made using a combination of manual and computational methods.","abbreviation":null,"support_links":[{"url":"curator@arabidopsis.org","type":"Support email"}],"year_creation":2003,"associated_tools":[{"url":"http://www.arabidopsis.org/tools/bulk/go/index.jsp","name":"GO Annotation Download Tool"}]},"legacy_ids":["bsg-000267","bsg-s000267"],"name":"FAIRsharing record for: TAIR annotation data Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zb33h5","doi":"10.25504/FAIRsharing.zb33h5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: At TAIR, we display Gene Ontology and Plant Ontology annotations made by TAIR curators and those made by the community including individual researchers and contributors to the GO Consortium. The GO annotations in TAIR are made using a combination of manual and computational methods.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1098,"pubmed_id":20521243,"title":"Using the Arabidopsis information resource (TAIR) to find information about Arabidopsis genes.","year":2010,"url":"http://doi.org/10.1002/0471250953.bi0111s30","authors":"Lamesch P., Dreher K., Swarbreck D., Sasidharan R., Reiser L., Huala E.,","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0111s30","created_at":"2021-09-30T08:24:21.567Z","updated_at":"2021-09-30T08:24:21.567Z"},{"id":1724,"pubmed_id":26201819,"title":"The Arabidopsis information resource: Making and mining the \"gold standard\" annotated reference plant genome.","year":2015,"url":"http://doi.org/10.1002/dvg.22877","authors":"Berardini TZ,Reiser L,Li D,Mezheritsky Y,Muller R,Strait E,Huala E","journal":"Genesis","doi":"10.1002/dvg.22877","created_at":"2021-09-30T08:25:33.170Z","updated_at":"2021-09-30T08:25:33.170Z"},{"id":1832,"pubmed_id":15173566,"title":"Functional annotation of the Arabidopsis genome using controlled vocabularies.","year":2004,"url":"http://doi.org/10.1104/pp.104.040071","authors":"Berardini TZ,Mundodi S,Reiser L,Huala E,Garcia-Hernandez M,Zhang P,Mueller LA,Yoon J,Doyle A,Lander G,Moseyko N,Yoo D,Xu I,Zoeckler B,Montoya M,Miller N,Weems D,Rhee SY","journal":"Plant Physiol","doi":"10.1104/pp.104.040071","created_at":"2021-09-30T08:25:45.755Z","updated_at":"2021-09-30T08:25:45.755Z"}],"licence_links":[{"licence_name":"TAIR Software License","licence_id":769,"licence_url":"http://www.arabidopsis.org/doc/about/tair_licensing/416","link_id":1359,"relation":"undefined"},{"licence_name":"TAIR Terms of Use","licence_id":770,"licence_url":"http://www.arabidopsis.org/doc/about/tair_terms_of_use/417","link_id":1358,"relation":"undefined"}],"grants":[{"id":7041,"fairsharing_record_id":1239,"organisation_id":2322,"relation":"maintains","created_at":"2021-09-30T09:28:23.797Z","updated_at":"2021-09-30T09:28:23.797Z","grant_id":null,"is_lead":false,"saved_state":{"id":2322,"name":"Phoenix Bioinformatics Corporation","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1240","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-03-23T15:22:35.391Z","metadata":{"doi":"10.25504/FAIRsharing.w4x6n4","name":"Ontology of Vaccine Adverse Events","status":"ready","contacts":[{"contact_name":"Yongqunh He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/OVAE-Ontology/ovae","citations":[],"identifier":1240,"description":"The Ontology of Vaccine Adverse Events (OVAE) is a biomedical ontology in the area of vaccine adverse events. While they are extremely useful in decreasing infection prevalence in human populations, vaccines may also induce some unintended adverse events. As vaccine usage increases, the risk of adverse events proportionally increases. To protect public health, it is necessary to represent, study, and analyze various vaccine adverse events (VAES). Two existing ontologies are closely related to the VAE studies. The Ontology of Adverse Events (OAE) is a community-based biomedical ontology in the area of adverse events. The Vaccine Ontology (VO) represents various vaccines, vaccine components, and vaccinations. Both OAE and VO are OBO Foundry candidate ontologies and are developed by following the OBO Foundry principles. To better represent various VAEs and support vaccine safety study, we developed the Ontology of Vaccine Adverse Events (OVAE) as an extension of the biomedical ontologies OAE and VO.","abbreviation":"OVAE","support_links":[{"url":"http://www.hegroup.org/contacts/index.php","name":"Contact the He Group","type":"Contact form"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OVAE","name":"OVAE","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ovae.html","name":"ovae","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000891","bsg-s000891"],"name":"FAIRsharing record for: Ontology of Vaccine Adverse Events","abbreviation":"OVAE","url":"https://fairsharing.org/10.25504/FAIRsharing.w4x6n4","doi":"10.25504/FAIRsharing.w4x6n4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Vaccine Adverse Events (OVAE) is a biomedical ontology in the area of vaccine adverse events. While they are extremely useful in decreasing infection prevalence in human populations, vaccines may also induce some unintended adverse events. As vaccine usage increases, the risk of adverse events proportionally increases. To protect public health, it is necessary to represent, study, and analyze various vaccine adverse events (VAES). Two existing ontologies are closely related to the VAE studies. The Ontology of Adverse Events (OAE) is a community-based biomedical ontology in the area of adverse events. The Vaccine Ontology (VO) represents various vaccines, vaccine components, and vaccinations. Both OAE and VO are OBO Foundry candidate ontologies and are developed by following the OBO Foundry principles. To better represent various VAEs and support vaccine safety study, we developed the Ontology of Vaccine Adverse Events (OVAE) as an extension of the biomedical ontologies OAE and VO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Adverse Reaction","Vaccine"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2199,"pubmed_id":24279920,"title":"The Ontology of Vaccine Adverse Events (OVAE) and its usage in representing and analyzing adverse events associated with US-licensed human vaccines.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-40","authors":"Marcos E,Zhao B,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-40","created_at":"2021-09-30T08:26:27.848Z","updated_at":"2021-09-30T08:26:27.848Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":705,"relation":"undefined"}],"grants":[{"id":7042,"fairsharing_record_id":1240,"organisation_id":2512,"relation":"maintains","created_at":"2021-09-30T09:28:23.839Z","updated_at":"2021-09-30T09:28:23.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":2512,"name":"School of Information, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7043,"fairsharing_record_id":1240,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:23.878Z","updated_at":"2021-09-30T09:28:23.878Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7044,"fairsharing_record_id":1240,"organisation_id":558,"relation":"maintains","created_at":"2021-09-30T09:28:23.918Z","updated_at":"2021-09-30T09:28:23.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":558,"name":"College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1241","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:09.874Z","metadata":{"doi":"10.25504/FAIRsharing.wwy1ns","name":"Physico-chemical methods and properties","status":"deprecated","contacts":[{"contact_name":"Janna Hastings","contact_email":"hastings@ebi.ac.uk"}],"homepage":"http://purl.bioontology.org/ontology/FIX","identifier":1241,"description":"FIX consists of two ontologies: methods and properties (but not objects, which are subject of the chemical ontology). The methods are applied to study the properties. While this ontology is available via BioPortal and the OBO Foundry, we cannot find a home page or a publication for the resource, and the resource itself is no longer maintained.","abbreviation":"FIX","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FIX","name":"FIX","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fix.html","name":"fix","portal":"OBO Foundry"}],"deprecation_date":"2017-11-22","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000041","bsg-s000041"],"name":"FAIRsharing record for: Physico-chemical methods and properties","abbreviation":"FIX","url":"https://fairsharing.org/10.25504/FAIRsharing.wwy1ns","doi":"10.25504/FAIRsharing.wwy1ns","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FIX consists of two ontologies: methods and properties (but not objects, which are subject of the chemical ontology). The methods are applied to study the properties. While this ontology is available via BioPortal and the OBO Foundry, we cannot find a home page or a publication for the resource, and the resource itself is no longer maintained.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry"],"domains":["Experimental measurement","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7045,"fairsharing_record_id":1241,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:23.952Z","updated_at":"2021-09-30T09:28:23.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1242","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2023-03-13T13:26:44.684Z","metadata":{"doi":"10.25504/FAIRsharing.5yn03x","name":"Dataset processing","status":"ready","contacts":[{"contact_name":"Bernard Gibaud","contact_email":"bernard.gibaud@univ-rennes1.fr"}],"homepage":"http://neurolog.unice.fr/ontoneurolog/v3.0/Documentation_OntoNeuroLOGv3.pdf","citations":[],"identifier":1242,"description":"This ontology is a module of the OntoNeuroLOG ontology, developed in the context of the NeuroLOG project, a french project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeous resources in neuroimaging. If covers the domain of Datasets and the processing of datasets. It includes a detailed taxonomy of datasets in the area of neuroimaging (and especially MR imaging) as well as a taxonomy of medical image processing.","abbreviation":"ONL-DP","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONL-DP","name":"ONL-DP","portal":"BioPortal"}]},"legacy_ids":["bsg-001001","bsg-s001001"],"name":"FAIRsharing record for: Dataset processing","abbreviation":"ONL-DP","url":"https://fairsharing.org/10.25504/FAIRsharing.5yn03x","doi":"10.25504/FAIRsharing.5yn03x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is a module of the OntoNeuroLOG ontology, developed in the context of the NeuroLOG project, a french project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeous resources in neuroimaging. If covers the domain of Datasets and the processing of datasets. It includes a detailed taxonomy of datasets in the area of neuroimaging (and especially MR imaging) as well as a taxonomy of medical image processing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurology"],"domains":["Bioimaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1229","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-10T20:26:51.060Z","metadata":{"doi":"10.25504/FAIRsharing.4ndncv","name":"PRotein Ontology","status":"ready","contacts":[{"contact_name":"Darren Natale","contact_email":"dan5@georgetown.edu","contact_orcid":"0000-0001-5809-9523"}],"homepage":"https://proconsortium.org/","citations":[{"doi":"10.1093/nar/gkw1075","pubmed_id":27899649,"publication_id":2015}],"identifier":1229,"description":"Protein Ontology (PRO) provides an ontological representation of protein-related entities by explicitly defining them and showing the relationships between them. Each PRO term represents a distinct class of entities (including specific modified forms, orthologous isoforms, and protein complexes) ranging from the taxon-neutral to the taxon-specific. The ontology has a meta-structure encompassing three areas: proteins based on evolutionary relatedness (ProEvo); protein forms produced from a given gene locus (ProForm); and protein-containing complexes (ProComp).","abbreviation":"PRO","support_links":[{"url":"http://purl.obolibrary.org/obo/pr/tracker","name":"Term Request/Issue Tracker","type":"Forum"},{"url":"http://purl.obolibrary.org/obo/pr/docs","name":"Protein Ontology Documentation","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PR","name":"PR","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pr.html","name":"pr","portal":"OBO Foundry"},{"url":"http://agroportal.lirmm.fr/ontologies/PR","name":"PR","portal":"AgroPortal"}]},"legacy_ids":["bsg-000139","bsg-s000139"],"name":"FAIRsharing record for: PRotein Ontology","abbreviation":"PRO","url":"https://fairsharing.org/10.25504/FAIRsharing.4ndncv","doi":"10.25504/FAIRsharing.4ndncv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Protein Ontology (PRO) provides an ontological representation of protein-related entities by explicitly defining them and showing the relationships between them. Each PRO term represents a distinct class of entities (including specific modified forms, orthologous isoforms, and protein complexes) ranging from the taxon-neutral to the taxon-specific. The ontology has a meta-structure encompassing three areas: proteins based on evolutionary relatedness (ProEvo); protein forms produced from a given gene locus (ProForm); and protein-containing complexes (ProComp).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18259},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10887},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12084},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12227}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Annotation","PTM site prediction","Protein acetylation","Phosphorylation","Methylation","Protein-containing complex","Glycosylation","Data model","Protein","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1118,"pubmed_id":24270789,"title":"Protein Ontology: a controlled structured network of protein entities.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1173","authors":"Natale DA,Arighi CN,Blake JA,Bult CJ,Christie KR,Cowart J,D'Eustachio P,Diehl AD,Drabkin HJ,Helfer O,Huang H,Masci AM,Ren J,Roberts NV,Ross K,Ruttenberg A,Shamovsky V,Smith B,Yerramalla MS,Zhang J,AlJanahi A,Celen I,Gan C,Lv M,Schuster-Lezell E,Wu CH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1173","created_at":"2021-09-30T08:24:23.863Z","updated_at":"2021-09-30T11:28:59.261Z"},{"id":1133,"pubmed_id":20935045,"title":"The Protein Ontology: a structured representation of protein forms and complexes.","year":2010,"url":"http://doi.org/10.1093/nar/gkq907","authors":"Natale DA,Arighi CN,Barker WC,Blake JA,Bult CJ,Caudy M,Drabkin HJ,D'Eustachio P,Evsikov AV,Huang H,Nchoutmboube J,Roberts NV,Smith B,Zhang J,Wu CH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq907","created_at":"2021-09-30T08:24:25.715Z","updated_at":"2021-09-30T11:29:00.026Z"},{"id":1186,"pubmed_id":18047702,"title":"Framework for a protein ontology.","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-S9-S1","authors":"Natale DA,Arighi CN,Barker WC,Blake J,Chang TC,Hu Z,Liu H,Smith B,Wu CH","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-S9-S1","created_at":"2021-09-30T08:24:31.883Z","updated_at":"2021-09-30T08:24:31.883Z"},{"id":1207,"pubmed_id":21929785,"title":"The representation of protein complexes in the Protein Ontology (PRO).","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-371","authors":"Bult CJ,Drabkin HJ,Evsikov A,Natale D,Arighi C,Roberts N,Ruttenberg A,D'Eustachio P,Smith B,Blake JA,Wu C","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-371","created_at":"2021-09-30T08:24:34.533Z","updated_at":"2021-09-30T08:24:34.533Z"},{"id":2015,"pubmed_id":27899649,"title":"Protein Ontology (PRO): enhancing and scaling up the representation of protein entities.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1075","authors":"Natale DA,Arighi CN,Blake JA,Bona J,Chen C,Chen SC,Christie KR,Cowart J,D'Eustachio P,Diehl AD,Drabkin HJ,Duncan WD,Huang H,Ren J,Ross K,Ruttenberg A,Shamovsky V,Smith B,Wang Q,Zhang J,El-Sayed A,Wu CH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1075","created_at":"2021-09-30T08:26:07.011Z","updated_at":"2021-09-30T11:29:25.744Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1746,"relation":"undefined"}],"grants":[{"id":7027,"fairsharing_record_id":1229,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:28:23.322Z","updated_at":"2021-09-30T09:30:57.725Z","grant_id":954,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1TR001412","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7028,"fairsharing_record_id":1229,"organisation_id":2361,"relation":"maintains","created_at":"2021-09-30T09:28:23.364Z","updated_at":"2021-09-30T09:28:23.364Z","grant_id":null,"is_lead":true,"saved_state":{"id":2361,"name":"PRO Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7030,"fairsharing_record_id":1229,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:23.440Z","updated_at":"2021-09-30T09:29:44.802Z","grant_id":383,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062520","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7029,"fairsharing_record_id":1229,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:23.401Z","updated_at":"2021-09-30T09:31:28.160Z","grant_id":1182,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201200028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7031,"fairsharing_record_id":1229,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:23.466Z","updated_at":"2021-09-30T09:29:29.391Z","grant_id":268,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01GM080646","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWTA9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7796769110d5d35906d68221bdd275782255a676/PROlogofinal300.png?disposition=inline","exhaustive_licences":false}},{"id":"1230","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:19.327Z","metadata":{"doi":"10.25504/FAIRsharing.3e0sn4","name":"Gene Expression Ontology","status":"ready","contacts":[{"contact_name":"Martin Kuiper","contact_email":"kuiper@bio.ntnu.no","contact_orcid":"0000-0002-1171-9876"}],"homepage":"https://www.biogateway.eu/tools/#GeXKB","identifier":1230,"description":"An application ontology for the domain of gene expression. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","abbreviation":"GeXO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GEXO","name":"GEXO","portal":"BioPortal"}]},"legacy_ids":["bsg-002833","bsg-s002833"],"name":"FAIRsharing record for: Gene Expression Ontology","abbreviation":"GeXO","url":"https://fairsharing.org/10.25504/FAIRsharing.3e0sn4","doi":"10.25504/FAIRsharing.3e0sn4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of gene expression. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12489}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Gene expression"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":972,"pubmed_id":25490885,"title":"Finding gene regulatory network candidates using the gene expression knowledge base.","year":2014,"url":"http://doi.org/10.1186/s12859-014-0386-y","authors":"Venkatesan A,Tripathi S,Sanz de Galdeano A,Blonde W,Laegreid A,Mironov V,Kuiper M","journal":"BMC Bioinformatics","doi":"10.1186/s12859-014-0386-y","created_at":"2021-09-30T08:24:07.541Z","updated_at":"2021-09-30T08:24:07.541Z"}],"licence_links":[],"grants":[{"id":7032,"fairsharing_record_id":1230,"organisation_id":2185,"relation":"funds","created_at":"2021-09-30T09:28:23.495Z","updated_at":"2021-09-30T09:28:23.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2185,"name":"Norwegian Cancer Society","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1243","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-02T16:12:00.689Z","metadata":{"doi":"10.25504/FAIRsharing.dp0jvd","name":"Biological Expression Language","status":"ready","contacts":[{"contact_name":"William Hayes (BEL.bio)","contact_email":"support@bel.bio","contact_orcid":"0000-0003-0728-781X"},{"contact_name":" Charles Tapley Hoyt (PyBEL)","contact_email":"cthoyt@gmail.com","contact_orcid":"0000-0003-4423-4370"}],"homepage":"https://bel.bio","citations":[],"identifier":1243,"description":"BEL is a language for representing scientific findings in the life sciences in a reusable, shareable, and computable form. BEL is designed to represent scientific findings by capturing causal and correlative relationships in context, where context can include information about the biological and experimental system in which the relationships were observed, the supporting publications cited and the process of curation. BEL is intended as a knowledge capture and interchange medium, supporting the operation of systems that integrate knowledge derived from independent efforts. The language is designed to be use-neutral, facilitating the storage and use of structured knowledge for inference by applications through a knowledge assembly process that can create computable biological networks. While BEL does not prescribe any particular assembly process or any particular knowledge format for the output of an assembly process, a suite of software components called the BEL Framework provides everything necessary to create, compile, assemble, and deliver computable knowledge models to BEL-aware applications. The current version of BEL provides the means to describe biological interactions qualitatively but not to quantify the magnitude or rate of these interactions. This limitation is by design because this quantitative information has significant variability and is not consistently reported in the literature. It is our hope that future versions of BEL can accommodate these additional data.","abbreviation":"BEL","support_links":[{"url":"support@bel.bio","name":"BEL.bio Support mailbox","type":"Support email"},{"url":"https://language.bel.bio/","name":"BEL Specifications Documentation","type":"Help documentation"},{"url":"https://github.com/belbio","name":"BEL.bio on GitHub","type":"Github"},{"url":"https://bel.bio/resources/","name":"Resource Links","type":"Help documentation"},{"url":"https://bel.bio/faq/","name":"BEL FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bel-api.readthedocs.io/en/latest/glossary.html","name":"BEL Glossary","type":"Help documentation"},{"url":"https://biological-expression-language.github.io/","name":"PyBEL Biological Expression Language ","type":"Other"}],"year_creation":2003,"associated_tools":[{"url":"https://github.com/pybel/pybel","name":"PyBEL Python Library Package"},{"url":"https://github.com/bio2bel/bio2bel","name":"Bio2BEL"},{"url":"https://indra.readthedocs.io/en/latest/modules/sources/bel/index.html","name":"INDRA"},{"url":"https://marketplace.visualstudio.com/items?itemName=belbio.belnanopub","name":"BEL Nanopubs Editor Visual Studio"}],"cross_references":[{"url":"https://bioregistry.io/registry/bel","name":"bel","portal":"Other"},{"url":"https://bio.tools/PyBEL","name":"biotools:pybel","portal":"Other"}]},"legacy_ids":["bsg-000572","bsg-s000572"],"name":"FAIRsharing record for: Biological Expression Language","abbreviation":"BEL","url":"https://fairsharing.org/10.25504/FAIRsharing.dp0jvd","doi":"10.25504/FAIRsharing.dp0jvd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BEL is a language for representing scientific findings in the life sciences in a reusable, shareable, and computable form. BEL is designed to represent scientific findings by capturing causal and correlative relationships in context, where context can include information about the biological and experimental system in which the relationships were observed, the supporting publications cited and the process of curation. BEL is intended as a knowledge capture and interchange medium, supporting the operation of systems that integrate knowledge derived from independent efforts. The language is designed to be use-neutral, facilitating the storage and use of structured knowledge for inference by applications through a knowledge assembly process that can create computable biological networks. While BEL does not prescribe any particular assembly process or any particular knowledge format for the output of an assembly process, a suite of software components called the BEL Framework provides everything necessary to create, compile, assemble, and deliver computable knowledge models to BEL-aware applications. The current version of BEL provides the means to describe biological interactions qualitatively but not to quantify the magnitude or rate of these interactions. This limitation is by design because this quantitative information has significant variability and is not consistently reported in the literature. It is our hope that future versions of BEL can accommodate these additional data.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11033},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16943}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Biology"],"domains":["Data model","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3743,"pubmed_id":29048466,"title":"PyBEL: a computational framework for Biological Expression Language","year":2017,"url":"http://dx.doi.org/10.1093/bioinformatics/btx660","authors":"Hoyt, Charles Tapley; Konotopez, Andrej; Ebeling, Christian; ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btx660","created_at":"2022-12-20T19:20:20.757Z","updated_at":"2022-12-20T19:56:34.844Z"},{"id":3744,"pubmed_id":null,"title":"Recent advances in modeling languages for pathway maps and computable biological networks","year":2014,"url":"http://dx.doi.org/10.1016/j.drudis.2013.12.011","authors":"Slater, Ted; ","journal":"Drug Discovery Today","doi":"10.1016/j.drudis.2013.12.011","created_at":"2022-12-20T19:20:28.746Z","updated_at":"2022-12-20T19:20:28.746Z"},{"id":3745,"pubmed_id":null,"title":"PyBEL (v0.15.5)","year":2022,"url":"https://doi.org/10.5281/zenodo.596920","authors":"Charles Tapley Hoyt, Andrej Konotopez, Scott Colby, Daniel Domingo-Fernández, ChristianEbeling, Benjamin M. Gyori, Aman Choudhri, Jeremy Zucker, Nicola Soranzo, Steffen Möller, \u0026 tehw0lf","journal":"Zenodo","doi":"","created_at":"2022-12-20T19:46:31.875Z","updated_at":"2022-12-20T19:46:31.875Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":787,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":785,"relation":"undefined"}],"grants":[{"id":7046,"fairsharing_record_id":1243,"organisation_id":1296,"relation":"funds","created_at":"2021-09-30T09:28:23.988Z","updated_at":"2021-09-30T09:28:23.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":1296,"name":"I2b2 Transmart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7047,"fairsharing_record_id":1243,"organisation_id":226,"relation":"funds","created_at":"2021-09-30T09:28:24.030Z","updated_at":"2021-09-30T09:28:24.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":226,"name":"BioDati, Inc","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7048,"fairsharing_record_id":1243,"organisation_id":196,"relation":"maintains","created_at":"2021-09-30T09:28:24.069Z","updated_at":"2021-09-30T09:28:24.069Z","grant_id":null,"is_lead":true,"saved_state":{"id":196,"name":"BEL.bio","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":7049,"fairsharing_record_id":1243,"organisation_id":2319,"relation":"funds","created_at":"2021-09-30T09:28:24.106Z","updated_at":"2021-09-30T09:28:24.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2319,"name":"Philip morris international inc","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1244","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:46.185Z","metadata":{"doi":"10.25504/FAIRsharing.dmhjcg","name":"Quality Control Markup Language","status":"in_development","contacts":[{"contact_name":"Lennart Martens","contact_email":"lennart.martens@vib-ugent.be","contact_orcid":"0000-0003-4277-658X"}],"homepage":"http://www.psidev.info/groups/quality-control","identifier":1244,"description":"An XML format for quality-related data of mass spectrometry and other high-throughput experiments. Quality control is increasingly recognized as a crucial aspect of mass spectrometry based proteomics. Several recent papers discuss relevant parameters for quality control and present applications to extract these from the instrumental raw data. What has been missing, however, is a standard data exchange format for reporting these performance metrics. We therefore developed the qcML format, an XML-based standard that follows the design principles of the related mzML, mzIdentML, mzQuantML, and TraML standards from the HUPO-PSI (Proteomics Standards Initiative). In addition to the XML format, we also provide tools for the calculation of a wide range of quality metrics as well as a database format and interconversion tools, so that existing LIMS systems can easily add relational storage of the quality control data to their existing schema. We here describe the qcML specification, along with possible use cases and an illustrative example of the subsequent analysis possibilities.","abbreviation":"QCML","support_links":[{"url":"https://github.com/HUPO-PSI/qcML-development","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-000570","bsg-s000570"],"name":"FAIRsharing record for: Quality Control Markup Language","abbreviation":"QCML","url":"https://fairsharing.org/10.25504/FAIRsharing.dmhjcg","doi":"10.25504/FAIRsharing.dmhjcg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An XML format for quality-related data of mass spectrometry and other high-throughput experiments. Quality control is increasingly recognized as a crucial aspect of mass spectrometry based proteomics. Several recent papers discuss relevant parameters for quality control and present applications to extract these from the instrumental raw data. What has been missing, however, is a standard data exchange format for reporting these performance metrics. We therefore developed the qcML format, an XML-based standard that follows the design principles of the related mzML, mzIdentML, mzQuantML, and TraML standards from the HUPO-PSI (Proteomics Standards Initiative). In addition to the XML format, we also provide tools for the calculation of a wide range of quality metrics as well as a database format and interconversion tools, so that existing LIMS systems can easily add relational storage of the quality control data to their existing schema. We here describe the qcML specification, along with possible use cases and an illustrative example of the subsequent analysis possibilities.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11440},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12047}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science","Metabolomics"],"domains":["Quality control","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":2292,"pubmed_id":24760958,"title":"qcML: an exchange format for quality control metrics from mass spectrometry experiments.","year":2014,"url":"http://doi.org/10.1074/mcp.M113.035907","authors":"Walzer M, Pernas LE, Nasso S, Bittremieux W, Nahnsen S, Kelchtermans P, Pichler P, van den Toorn HW, Staes A, Vandenbussche J, Mazanek M, Taus T, Scheltema RA, Kelstrup CD, Gatto L, van Breukelen B, Aiche S, Valkenborg D, Laukens K, Lilley KS, Olsen JV, Heck AJ, Mechtler K, Aebersold R, Gevaert K, Vizcaíno JA, Hermjakob H, Kohlbacher O, Martens L.","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.M113.035907","created_at":"2021-09-30T08:26:39.565Z","updated_at":"2021-09-30T08:26:39.565Z"}],"licence_links":[],"grants":[{"id":7051,"fairsharing_record_id":1244,"organisation_id":2500,"relation":"funds","created_at":"2021-09-30T09:28:24.198Z","updated_at":"2021-09-30T09:31:22.934Z","grant_id":1144,"is_lead":false,"saved_state":{"id":2500,"name":"SBO","grant":"120025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7053,"fairsharing_record_id":1244,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:28:24.281Z","updated_at":"2021-09-30T09:31:45.084Z","grant_id":1310,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"WT085949MA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8306,"fairsharing_record_id":1244,"organisation_id":2991,"relation":"funds","created_at":"2021-09-30T09:32:00.665Z","updated_at":"2021-09-30T09:32:00.699Z","grant_id":1427,"is_lead":false,"saved_state":{"id":2991,"name":"Universiteit Utrecht, Netherlands","grant":"260558","types":["University"],"is_lead":false,"relation":"funds"}},{"id":7050,"fairsharing_record_id":1244,"organisation_id":1291,"relation":"maintains","created_at":"2021-09-30T09:28:24.156Z","updated_at":"2021-09-30T09:28:24.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":1291,"name":"HUPO-PSI initiative; Quality Control working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7052,"fairsharing_record_id":1244,"organisation_id":2991,"relation":"funds","created_at":"2021-09-30T09:28:24.238Z","updated_at":"2021-09-30T09:29:45.335Z","grant_id":387,"is_lead":false,"saved_state":{"id":2991,"name":"Universiteit Utrecht, Netherlands","grant":"262067","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1232","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T14:16:03.000Z","updated_at":"2023-10-03T09:54:08.220Z","metadata":{"doi":"10.25504/FAIRsharing.IjUe3j","name":"Minimum Information about Peptide Array Experiment","status":"ready","contacts":[{"contact_name":"Dr. Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"https://doi.org/10.14806/ej.18.1.250","citations":[],"identifier":1232,"description":"Peptide-array screening is currently a well-established high-throughput technique with a growing numbers of application. Peptide-array technology is used for protein recognition, quantification of peptide expression levels, and detection of protein-protein interactions. The use of protein/pep- tide arrays in medical life science studies is becoming increasingly widespread. Their increased use in diagnostic applications and protein function profiling calls for a standardised set of guide- lines to be followed by future experimenters to enable reproducible, high-quality data and ac- curate findings. We aim to provide preliminary guidelines describing the Minimum Information About a Peptide- Array Experiment (MIAPepAE). We propose a checklist of data and meta-data that should accom- pany a peptide-array experiment, and invite fellow researchers in the field to collaborate in this effort to create a sustainable and coherent set of guidelines for the benefit of the protein/peptide- array research community. Although this article focuses on spotting peptide arrays, MIAPepAE is intended to be a work-in-progress to be adopted for other peptide-array types, such as in situ synthesised peptide arrays.","abbreviation":"MIAPepAE","support_links":[{"url":"http://www.ktp.cpgr.org.za","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000629","bsg-s000629"],"name":"FAIRsharing record for: Minimum Information about Peptide Array Experiment","abbreviation":"MIAPepAE","url":"https://fairsharing.org/10.25504/FAIRsharing.IjUe3j","doi":"10.25504/FAIRsharing.IjUe3j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Peptide-array screening is currently a well-established high-throughput technique with a growing numbers of application. Peptide-array technology is used for protein recognition, quantification of peptide expression levels, and detection of protein-protein interactions. The use of protein/pep- tide arrays in medical life science studies is becoming increasingly widespread. Their increased use in diagnostic applications and protein function profiling calls for a standardised set of guide- lines to be followed by future experimenters to enable reproducible, high-quality data and ac- curate findings. We aim to provide preliminary guidelines describing the Minimum Information About a Peptide- Array Experiment (MIAPepAE). We propose a checklist of data and meta-data that should accom- pany a peptide-array experiment, and invite fellow researchers in the field to collaborate in this effort to create a sustainable and coherent set of guidelines for the benefit of the protein/peptide- array research community. Although this article focuses on spotting peptide arrays, MIAPepAE is intended to be a work-in-progress to be adopted for other peptide-array types, such as in situ synthesised peptide arrays.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17619},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17620},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12077}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Peptide","Accuracy","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":871,"pubmed_id":null,"title":"Minimum Information About a Peptide Array Experiment (MIAPepAE)","year":2012,"url":"http://doi.org/10.14806/ej.18.1.250","authors":"Judit Kumuthini, Gordon Botha","journal":"EMBNET Journal","doi":"10.14806/ej.18.1.250","created_at":"2021-09-30T08:23:56.213Z","updated_at":"2021-09-30T08:23:56.213Z"}],"licence_links":[],"grants":[{"id":10968,"fairsharing_record_id":1232,"organisation_id":468,"relation":"maintains","created_at":"2023-10-03T09:17:55.038Z","updated_at":"2023-10-03T09:17:55.038Z","grant_id":null,"is_lead":true,"saved_state":{"id":468,"name":"Centre for Proteomic and Genomic Research","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1233","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.872Z","metadata":{"doi":"10.25504/FAIRsharing.rrms81","name":"Terminology of Anatomy of Human Embryology","status":"deprecated","contacts":[{"contact_name":"Pierre Sprumont","contact_email":"pierre.sprumont@unifr.ch"}],"homepage":"http://bioportal.bioontology.org/ontologies/1536","identifier":1233,"description":"\"Terminology of Anatomy of Human Embryology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1536. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Embryology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"TAHE","deprecation_date":"2016-05-26","deprecation_reason":"This standard is marked as deprecated on the OBO Foundry page - http://obofoundry.org/ontology/tahe.html. No information is given as to an alternative resource."},"legacy_ids":["bsg-002690","bsg-s002690"],"name":"FAIRsharing record for: Terminology of Anatomy of Human Embryology","abbreviation":"TAHE","url":"https://fairsharing.org/10.25504/FAIRsharing.rrms81","doi":"10.25504/FAIRsharing.rrms81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Terminology of Anatomy of Human Embryology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1536. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Embryology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Embryology","Life Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[],"grants":[{"id":7034,"fairsharing_record_id":1233,"organisation_id":3057,"relation":"undefined","created_at":"2021-09-30T09:28:23.577Z","updated_at":"2021-09-30T09:28:23.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":3057,"name":"University of Fribourg, Switzerland","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1234","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T11:38:43.000Z","updated_at":"2022-07-20T11:27:40.509Z","metadata":{"name":"Plant Phenotype Experiment Ontology","status":"in_development","contacts":[{"contact_name":"Cyril Pommier","contact_email":"cyril.pommier@inra.fr"}],"homepage":"http://purl.org/ppeo","citations":[],"identifier":1234,"description":"The Plant Phenotyping Experiment Ontology (PPEO) is an implementation of the Minimal Information About Plant Phenotyping Experiment (MIAPPE) Guidelines. It lists and organises all the information necessary to describe and reuse a phenotyping dataset following FAIR principles.","abbreviation":"PPEO","support_links":[{"url":"https://github.com/MIAPPE/MIAPPE-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2018,"cross_references":[{"url":"http://agroportal.lirmm.fr/ontologies/PPEO","name":"AgroPortal Record","portal":"AgroPortal"}]},"legacy_ids":["bsg-001443","bsg-s001443"],"name":"FAIRsharing record for: Plant Phenotype Experiment Ontology","abbreviation":"PPEO","url":"https://fairsharing.org/fairsharing_records/1234","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Phenotyping Experiment Ontology (PPEO) is an implementation of the Minimal Information About Plant Phenotyping Experiment (MIAPPE) Guidelines. It lists and organises all the information necessary to describe and reuse a phenotyping dataset following FAIR principles.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13550}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Plant Breeding"],"domains":["Phenotype"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1744,"relation":"undefined"}],"grants":[{"id":7035,"fairsharing_record_id":1234,"organisation_id":3181,"relation":"maintains","created_at":"2021-09-30T09:28:23.614Z","updated_at":"2021-09-30T09:28:23.614Z","grant_id":null,"is_lead":true,"saved_state":{"id":3181,"name":"Versailles-Grignon Research Centre, INRA, France","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8675,"fairsharing_record_id":1234,"organisation_id":3341,"relation":"associated_with","created_at":"2022-01-06T10:03:08.688Z","updated_at":"2022-01-06T10:03:08.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":3341,"name":"EMPHASIS","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1236","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T10:45:51.000Z","updated_at":"2021-11-24T13:20:12.815Z","metadata":{"doi":"10.25504/FAIRsharing.WWI10U","name":"The FAIR Principles","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es"}],"homepage":"https://www.go-fair.org/fair-principles/","identifier":1236,"description":"One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows. The term \"FAIR\" was launched at a Lorentz workshop in 2014, attended by a wide range of academic, corporate, and governmental stakeholders. The resulting draft FAIR Principles were initially made available for public comment via the websites of peer-initiatives such as, for example, Force11. Based on this feedback, the final Principles were published in 2016 (https://www.nature.com/articles/sdata201618). FAIR is a set of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable. These guidelines provide advice for those wishing to enhance the (re)usability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.","abbreviation":"FAIR","year_creation":2016},"legacy_ids":["bsg-001147","bsg-s001147"],"name":"FAIRsharing record for: The FAIR Principles","abbreviation":"FAIR","url":"https://fairsharing.org/10.25504/FAIRsharing.WWI10U","doi":"10.25504/FAIRsharing.WWI10U","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows. The term \"FAIR\" was launched at a Lorentz workshop in 2014, attended by a wide range of academic, corporate, and governmental stakeholders. The resulting draft FAIR Principles were initially made available for public comment via the websites of peer-initiatives such as, for example, Force11. Based on this feedback, the final Principles were published in 2016 (https://www.nature.com/articles/sdata201618). FAIR is a set of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable. These guidelines provide advice for those wishing to enhance the (re)usability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11315},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11885},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12235},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13897},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14567},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16100},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16883},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20180}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Subject Agnostic"],"domains":["FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Belgium","Brazil","China","Germany","Netherlands","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":1234,"pubmed_id":26978244,"title":"The FAIR Guiding Principles for scientific data management and stewardship.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.18","authors":"Wilkinson MD,Dumontier M,Aalbersberg IJ,Appleton G,Axton M,Baak A,Blomberg N,Boiten JW,da Silva Santos LB,Bourne PE,Bouwman J,Brookes AJ,Clark T,Crosas M,Dillo I,Dumon O,Edmunds S,Evelo CT,Finkers R,Gonzalez-Beltran A,Gray AJ,Groth P,Goble C,Grethe JS,Heringa J,'t Hoen PA,Hooft R,Kuhn T,Kok R,Kok J,Lusher SJ,Martone ME,Mons A,Packer AL,Persson B,Rocca-Serra P,Roos M,van Schaik R,Sansone SA,Schultes E,Sengstag T,Slater T,Strawn G,Swertz MA,Thompson M,van der Lei J,van Mulligen E,Velterop J,Waagmeester A,Wittenburg P,Wolstencroft K,Zhao J,Mons B","journal":"Sci Data","doi":"10.1038/sdata.2016.18","created_at":"2021-09-30T08:24:37.674Z","updated_at":"2021-09-30T08:24:37.674Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1237","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:01.162Z","metadata":{"doi":"10.25504/FAIRsharing.xhwrnr","name":"Cell Cycle Ontology","status":"ready","contacts":[{"contact_name":"Martin Kuiper","contact_email":"kuiper@bio.ntnu.no","contact_orcid":"0000-0002-1171-9876"}],"homepage":"https://www.biogateway.eu/tools/#CCO","identifier":1237,"description":"CCO contains genes, proteins, interactions (comprising genes or proteins that participate in them), processes from the cell cycle subtree of GO, molecular functions (GO), taxa, and ontological constructs (like an upper level ontology and relationships) to stick everything together.","abbreviation":"CCO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CCO","name":"CCO","portal":"BioPortal"}]},"legacy_ids":["bsg-002671","bsg-s002671"],"name":"FAIRsharing record for: Cell Cycle Ontology","abbreviation":"CCO","url":"https://fairsharing.org/10.25504/FAIRsharing.xhwrnr","doi":"10.25504/FAIRsharing.xhwrnr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CCO contains genes, proteins, interactions (comprising genes or proteins that participate in them), processes from the cell cycle subtree of GO, molecular functions (GO), taxa, and ontological constructs (like an upper level ontology and relationships) to stick everything together.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10878},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12456}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Genomics","Proteomics","Life Science"],"domains":["Cell","Molecular function","Cell cycle"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":899,"pubmed_id":19480664,"title":"The Cell Cycle Ontology: an application ontology for the representation and integrated analysis of the cell cycle process.","year":2009,"url":"http://doi.org/10.1186/gb-2009-10-5-r58","authors":"Antezana E,Egana M,Blonde W,Illarramendi A,Bilbao I,De Baets B,Stevens R,Mironov V,Kuiper M","journal":"Genome Biol","doi":"10.1186/gb-2009-10-5-r58","created_at":"2021-09-30T08:23:59.329Z","updated_at":"2021-09-30T08:23:59.329Z"}],"licence_links":[],"grants":[{"id":7036,"fairsharing_record_id":1237,"organisation_id":676,"relation":"maintains","created_at":"2021-09-30T09:28:23.653Z","updated_at":"2021-09-30T09:28:23.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":676,"name":"Department of Biology, Systems Biology, Norwegian University of Science and Technology (NTNU), Alesund, Norway","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7037,"fairsharing_record_id":1237,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:28:23.683Z","updated_at":"2021-09-30T09:31:26.109Z","grant_id":1167,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LSHG-CT-2004-512143","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1245","type":"fairsharing_records","attributes":{"created_at":"2015-04-30T15:44:59.000Z","updated_at":"2024-04-29T08:20:57.633Z","metadata":{"doi":"10.25504/FAIRsharing.3nx7t","name":"Dublin Core Metadata Element Set","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"dcmi-feedback@dublincore.net"}],"homepage":"https://www.dublincore.org/specifications/dublin-core/dces/","citations":[],"identifier":1245,"description":"The Dublin Metadata Element Set, which is often called Dublin Core (DC), is a standardized metadata scheme for description of any kind of resource such as documents in electronic and non-electronic form, digital materials (such as video, sound, images, etc) and composite media like web pages. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. Please note that this version of the specification for the Dublin Core Element Set 1.1 is somewhat out of date, although it is not officially deprecated. The DCMI Metadata Terms specification is linked to this record and is the current documentation that should be used for the Dublin Core Element Set 1.1. This document, an excerpt from the more comprehensive document \"DCMI Metadata Terms\" [DCTERMS] provides an abbreviated reference version of the fifteen element descriptions that have been formally endorsed in the following standards: ISO Standard 15836:2009 of February 2009 [ISO15836], ANSI/NISO Standard Z39.85-2012 of February 2013 [NISOZ3985], and IETF RFC 5013 of August 2007 [RFC5013].","abbreviation":"DCES","year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DC","name":"DC","portal":"BioPortal"}]},"legacy_ids":["bsg-000589","bsg-s000589"],"name":"FAIRsharing record for: Dublin Core Metadata Element Set","abbreviation":"DCES","url":"https://fairsharing.org/10.25504/FAIRsharing.3nx7t","doi":"10.25504/FAIRsharing.3nx7t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dublin Metadata Element Set, which is often called Dublin Core (DC), is a standardized metadata scheme for description of any kind of resource such as documents in electronic and non-electronic form, digital materials (such as video, sound, images, etc) and composite media like web pages. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. Please note that this version of the specification for the Dublin Core Element Set 1.1 is somewhat out of date, although it is not officially deprecated. The DCMI Metadata Terms specification is linked to this record and is the current documentation that should be used for the Dublin Core Element Set 1.1. This document, an excerpt from the more comprehensive document \"DCMI Metadata Terms\" [DCTERMS] provides an abbreviated reference version of the fifteen element descriptions that have been formally endorsed in the following standards: ISO Standard 15836:2009 of February 2009 [ISO15836], ANSI/NISO Standard Z39.85-2012 of February 2013 [NISOZ3985], and IETF RFC 5013 of August 2007 [RFC5013].","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18282},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11204},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13285},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13324},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13359},{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13367},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16957}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Subject Agnostic","Biomedical Science"],"domains":["Resource metadata","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1357,"relation":"undefined"}],"grants":[{"id":7054,"fairsharing_record_id":1245,"organisation_id":122,"relation":"funds","created_at":"2021-09-30T09:28:24.318Z","updated_at":"2021-09-30T09:28:24.318Z","grant_id":null,"is_lead":false,"saved_state":{"id":122,"name":"Association for Information Science and Technology (ASIS\u0026T)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7057,"fairsharing_record_id":1245,"organisation_id":2043,"relation":"maintains","created_at":"2021-09-30T09:28:24.400Z","updated_at":"2021-09-30T09:28:24.400Z","grant_id":null,"is_lead":false,"saved_state":{"id":2043,"name":"National Library of Finland, Helsinki, Finland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7063,"fairsharing_record_id":1245,"organisation_id":1342,"relation":"maintains","created_at":"2021-09-30T09:28:24.622Z","updated_at":"2021-09-30T09:28:24.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":1342,"name":"INFOCOM Corporation, Tokyo, Japan","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7055,"fairsharing_record_id":1245,"organisation_id":3142,"relation":"maintains","created_at":"2021-09-30T09:28:24.351Z","updated_at":"2021-09-30T09:28:24.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":3142,"name":"University of Tsukuba","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7056,"fairsharing_record_id":1245,"organisation_id":2042,"relation":"maintains","created_at":"2021-09-30T09:28:24.375Z","updated_at":"2021-09-30T09:28:24.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":2042,"name":"National Library Board (NLB), Singapore, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7058,"fairsharing_record_id":1245,"organisation_id":1837,"relation":"maintains","created_at":"2021-09-30T09:28:24.430Z","updated_at":"2021-09-30T09:28:24.430Z","grant_id":null,"is_lead":false,"saved_state":{"id":1837,"name":"MIMOS Berhad, Kuala Lumpur, Malaysia","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7059,"fairsharing_record_id":1245,"organisation_id":2569,"relation":"maintains","created_at":"2021-09-30T09:28:24.472Z","updated_at":"2021-09-30T09:28:24.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":2569,"name":"SIMMONDS - School of Library and Information Science","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7060,"fairsharing_record_id":1245,"organisation_id":2966,"relation":"maintains","created_at":"2021-09-30T09:28:24.510Z","updated_at":"2021-09-30T09:28:24.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":2966,"name":"Universidade Estadual Paulista - UNESP","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7061,"fairsharing_record_id":1245,"organisation_id":2557,"relation":"maintains","created_at":"2021-09-30T09:28:24.544Z","updated_at":"2021-09-30T09:28:24.544Z","grant_id":null,"is_lead":false,"saved_state":{"id":2557,"name":"Shanghai Library, Shanghai, China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7062,"fairsharing_record_id":1245,"organisation_id":2787,"relation":"maintains","created_at":"2021-09-30T09:28:24.581Z","updated_at":"2021-09-30T09:28:24.581Z","grant_id":null,"is_lead":false,"saved_state":{"id":2787,"name":"The Information School, University of Washington, Seattle, WA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7064,"fairsharing_record_id":1245,"organisation_id":2044,"relation":"maintains","created_at":"2021-09-30T09:28:24.667Z","updated_at":"2021-09-30T09:28:24.667Z","grant_id":null,"is_lead":false,"saved_state":{"id":2044,"name":"National library of Korea, Seoul, Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1246","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:16:10.248Z","metadata":{"doi":"10.25504/FAIRsharing.3fyavr","name":"Bioinformatics Web Service Ontology","status":"uncertain","contacts":[{"contact_name":"jie zheng","contact_email":"jiezheng@pcbi.upenn.edu"}],"homepage":"https://github.com/obi-webservice/OBIws","identifier":1246,"description":"The Bioinformatics Web Services ontology (OBIws) is an ontology that extends the Ontology for Biomedical Investigations (OBI) to build an ontology that supports consistent annotation of bioinformatics Web services. We follow a systematic methodology for enriching OBI with terms to support Web service annotation. This process involves the design of ontology analysis diagrams for Web services and their subsequent analysis to discover terms that need to be added to the ontology. Current OBIws ontology is focusing on sequence analysis web services. With developed patterns of modeling web services, OBIws can be extended easily to support annotations of different kind web services.","abbreviation":"OBIws","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBIWS","name":"OBIWS","portal":"BioPortal"}]},"legacy_ids":["bsg-002829","bsg-s002829"],"name":"FAIRsharing record for: Bioinformatics Web Service Ontology","abbreviation":"OBIws","url":"https://fairsharing.org/10.25504/FAIRsharing.3fyavr","doi":"10.25504/FAIRsharing.3fyavr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bioinformatics Web Services ontology (OBIws) is an ontology that extends the Ontology for Biomedical Investigations (OBI) to build an ontology that supports consistent annotation of bioinformatics Web services. We follow a systematic methodology for enriching OBI with terms to support Web service annotation. This process involves the design of ontology analysis diagrams for Web services and their subsequent analysis to discover terms that need to be added to the ontology. Current OBIws ontology is focusing on sequence analysis web services. With developed patterns of modeling web services, OBIws can be extended easily to support annotations of different kind web services.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Web service"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7065,"fairsharing_record_id":1246,"organisation_id":2208,"relation":"maintains","created_at":"2021-09-30T09:28:24.697Z","updated_at":"2021-09-30T09:28:24.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":2208,"name":"OBIws Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1247","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:24.000Z","updated_at":"2024-03-21T13:59:04.382Z","metadata":{"doi":"10.25504/FAIRsharing.pvfyj4","name":"LINCS Extended Metadata Standard: Other Reagents","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Other_Reagent_Metadata_2017.pdf","citations":[],"identifier":1247,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories. An example is lipopolysaccharide, a component of the outer membrane of gram-negative bacteria that triggers an immune response similar to that initiated by a bacterial infection. Information that is relevant to be reported about these reagents includes a standardized name and ID, provider information, purity, and source.","abbreviation":"LINCS 2: Other Reagents","support_links":[{"url":"https://lincsproject.org/LINCS/files/Other_Reagent_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000658","bsg-s000658"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Other Reagents","abbreviation":"LINCS 2: Other Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.pvfyj4","doi":"10.25504/FAIRsharing.pvfyj4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories. An example is lipopolysaccharide, a component of the outer membrane of gram-negative bacteria that triggers an immune response similar to that initiated by a bacterial infection. Information that is relevant to be reported about these reagents includes a standardized name and ID, provider information, purity, and source.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11906},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12497}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Reaction data","Experimental measurement","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":7067,"fairsharing_record_id":1247,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:24.760Z","updated_at":"2021-09-30T09:28:24.760Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11577,"fairsharing_record_id":1247,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:04.277Z","updated_at":"2024-03-21T13:59:04.277Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1231","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-23T15:15:04.407Z","metadata":{"doi":"10.25504/FAIRsharing.956df7","name":"STAndards for the Reporting of Diagnostic accuracy","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"stard@amc.uva.nl"},{"contact_name":"Jeremie Cohen","contact_email":"jeremie.cohen@inserm.fr","contact_orcid":null},{"contact_name":"Patrick Bossuyt","contact_email":"p.m.bossuyt@amc.uva.nl","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/stard/","citations":[],"identifier":1231,"description":"The objective of the STARD initiative is to improve the accuracy and completeness of reporting of studies of diagnostic accuracy, to allow readers to assess the potential for bias in the study (internal validity) and to evaluate its generalisability (external validity). The STARD statement consists of a checklist of 25 items and recommends the use of a flow diagram which describes the design of the study and the flow of patients. Please note that all STARD-related material is now only available on the EQUATOR website.","abbreviation":"STARD","support_links":[],"year_creation":2003},"legacy_ids":["bsg-000058","bsg-s000058"],"name":"FAIRsharing record for: STAndards for the Reporting of Diagnostic accuracy","abbreviation":"STARD","url":"https://fairsharing.org/10.25504/FAIRsharing.956df7","doi":"10.25504/FAIRsharing.956df7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The objective of the STARD initiative is to improve the accuracy and completeness of reporting of studies of diagnostic accuracy, to allow readers to assess the potential for bias in the study (internal validity) and to evaluate its generalisability (external validity). The STARD statement consists of a checklist of 25 items and recommends the use of a flow diagram which describes the design of the study and the flow of patients. Please note that all STARD-related material is now only available on the EQUATOR website.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11940},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12404},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16932}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Accuracy","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Canada","France","Netherlands","United Kingdom","United States"],"publications":[{"id":1938,"pubmed_id":12507953,"title":"Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Standards for Reporting of Diagnostic Accuracy.","year":2003,"url":"http://doi.org/10.1373/49.1.1","authors":"Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, Lijmer JG, Moher D, Rennie D, de Vet HC","journal":"Clin. Chem.","doi":"10.1373/49.1.1","created_at":"2021-09-30T08:25:58.122Z","updated_at":"2021-09-30T08:25:58.122Z"},{"id":1939,"pubmed_id":26511519,"title":"STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies.","year":2015,"url":"http://doi.org/10.1136/bmj.h5527","authors":"Bossuyt PM,Reitsma JB,Bruns DE,Gatsonis CA,Glasziou PP,Irwig L,Lijmer JG,Moher D,Rennie D,de Vet HC,Kressel HY,Rifai N,Golub RM,Altman DG,Hooft L,Korevaar DA,Cohen JF","journal":"BMJ","doi":"10.1136/bmj.h5527","created_at":"2021-09-30T08:25:58.232Z","updated_at":"2021-09-30T08:25:58.232Z"},{"id":4146,"pubmed_id":null,"title":"STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies","year":2015,"url":"http://dx.doi.org/10.1373/clinchem.2015.246280","authors":"Bossuyt, Patrick M; Reitsma, Johannes B; Bruns, David E; Gatsonis, Constantine A; Glasziou, Paul P; Irwig, Les; Lijmer, Jeroen G; Moher, David; Rennie, Drummond; de Vet, Henrica C W; Kressel, Herbert Y; Rifai, Nader; Golub, Robert M; Altman, Douglas G; Hooft, Lotty; Korevaar, Daniël A; Cohen, Jérémie F; ","journal":"Clinical Chemistry","doi":"10.1373/clinchem.2015.246280","created_at":"2024-02-20T09:57:51.644Z","updated_at":"2024-02-20T09:57:51.644Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3408,"relation":"applies_to_content"}],"grants":[{"id":11375,"fairsharing_record_id":1231,"organisation_id":2991,"relation":"collaborates_on","created_at":"2024-02-20T10:06:08.890Z","updated_at":"2024-02-20T10:06:08.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":2991,"name":"Universiteit Utrecht, Netherlands","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11377,"fairsharing_record_id":1231,"organisation_id":4273,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.288Z","updated_at":"2024-02-20T10:06:09.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":4273,"name":"Brown University","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11378,"fairsharing_record_id":1231,"organisation_id":4274,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.395Z","updated_at":"2024-02-20T10:06:09.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":4274,"name":"Bond University","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11379,"fairsharing_record_id":1231,"organisation_id":3130,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.656Z","updated_at":"2024-02-20T10:06:09.656Z","grant_id":null,"is_lead":false,"saved_state":{"id":3130,"name":"University of Sydney, Australia","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11380,"fairsharing_record_id":1231,"organisation_id":4275,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.793Z","updated_at":"2024-02-20T10:06:09.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":4275,"name":"Onze Lieve Vrouwe Gasthuis","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":11383,"fairsharing_record_id":1231,"organisation_id":3112,"relation":"collaborates_on","created_at":"2024-02-20T10:10:38.734Z","updated_at":"2024-02-20T10:10:38.734Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11381,"fairsharing_record_id":1231,"organisation_id":2280,"relation":"collaborates_on","created_at":"2024-02-20T10:06:10.005Z","updated_at":"2024-02-20T10:06:10.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":11382,"fairsharing_record_id":1231,"organisation_id":3035,"relation":"collaborates_on","created_at":"2024-02-20T10:10:38.732Z","updated_at":"2024-02-20T10:10:38.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":3035,"name":"University of California San Francisco","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11386,"fairsharing_record_id":1231,"organisation_id":207,"relation":"collaborates_on","created_at":"2024-02-20T10:10:39.145Z","updated_at":"2024-02-20T10:10:39.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":207,"name":"Beth Israel Deaconess Medical Center, Boston, USA","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":11384,"fairsharing_record_id":1231,"organisation_id":2184,"relation":"collaborates_on","created_at":"2024-02-20T10:10:38.834Z","updated_at":"2024-02-20T10:10:38.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11385,"fairsharing_record_id":1231,"organisation_id":300,"relation":"collaborates_on","created_at":"2024-02-20T10:10:39.058Z","updated_at":"2024-02-20T10:10:39.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":300,"name":"Boston Children's Hospital, MA, USA","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":11374,"fairsharing_record_id":1231,"organisation_id":3012,"relation":"maintains","created_at":"2024-02-20T10:06:08.529Z","updated_at":"2024-04-23T12:42:39.305Z","grant_id":null,"is_lead":true,"saved_state":{"id":3012,"name":"University of Amsterdam, Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11376,"fairsharing_record_id":1231,"organisation_id":3147,"relation":"collaborates_on","created_at":"2024-02-20T10:06:08.969Z","updated_at":"2024-02-20T10:06:08.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":3147,"name":"University of Virginia","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11387,"fairsharing_record_id":1231,"organisation_id":3197,"relation":"collaborates_on","created_at":"2024-02-20T10:10:39.283Z","updated_at":"2024-02-20T10:10:39.283Z","grant_id":null,"is_lead":false,"saved_state":{"id":3197,"name":"Vrije Universiteit Amsterdam, The Netherlands","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11736,"fairsharing_record_id":1231,"organisation_id":3458,"relation":"maintains","created_at":"2024-04-23T12:42:38.782Z","updated_at":"2024-04-23T12:42:38.782Z","grant_id":null,"is_lead":true,"saved_state":{"id":3458,"name":"Université Paris Cité","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11737,"fairsharing_record_id":1231,"organisation_id":4273,"relation":"maintains","created_at":"2024-04-23T12:42:38.789Z","updated_at":"2024-04-23T12:42:38.789Z","grant_id":null,"is_lead":true,"saved_state":{"id":4273,"name":"Brown University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1248","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-27T15:43:45.007Z","metadata":{"doi":"10.25504/FAIRsharing.wcpd6f","name":"Basic Formal Ontology","status":"ready","contacts":[{"contact_name":"Barry Smith","contact_email":"phismith@buffalo.edu"}],"homepage":"https://www.iso.org/standard/74572.html","citations":[],"identifier":1248,"description":"The Basic Formal Ontology (BFO, also known via its ISO label as 'ISO/IEC 21838-2:2021 Information technology — Top-level ontologies (TLO) — Part 2: Basic Formal Ontology (BFO)') is an ontology that is conformant to the requirements specified for top-level ontologies in ISO/IEC 21838‑1. BFO is a small, upper level ontology that is designed for use in supporting information retrieval, analysis and integration in scientific and other domains. BFO is a genuine upper ontology. Thus it does not contain physical, chemical, biological or other terms which would properly fall within the coverage domains of the special sciences. BFO is used by more than 250 ontology-driven endeavors throughout the world. ","abbreviation":"BFO","support_links":[{"url":"https://github.com/bfo-ontology/BFO/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://buffalo.app.box.com/s/u4r7ji8hhnejso7u1aufh3mkeludwngu","name":"Tutorials","type":"Help documentation"},{"url":"https://github.com/bfo-ontology/BFO","name":"GitHub Repository","type":"Github"},{"url":"https://www.youtube.com/channel/UC8rDbmRGP6A2bs6tn0AOErQ","name":"BFO YouTube Channel","type":"Video"},{"url":"http://youtu.be/Yl6_M1sQEAQ","name":"Video Introduction to BFO","type":"Training documentation"},{"url":"http://basic-formal-ontology.org","name":"BFO 2.0 Documentation ","type":"Help documentation"},{"url":"https://groups.google.com/g/bfo-discuss","type":"Forum"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BFO","name":" BioPortal: BFO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bfo.html","name":"OBO Foundry: bfo","portal":"OBO Foundry"},{"url":"http://agroportal.lirmm.fr/ontologies/BFO","name":"Agroportal: BFO","portal":"AgroPortal"}]},"legacy_ids":["bsg-000156","bsg-s000156"],"name":"FAIRsharing record for: Basic Formal Ontology","abbreviation":"BFO","url":"https://fairsharing.org/10.25504/FAIRsharing.wcpd6f","doi":"10.25504/FAIRsharing.wcpd6f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Basic Formal Ontology (BFO, also known via its ISO label as 'ISO/IEC 21838-2:2021 Information technology — Top-level ontologies (TLO) — Part 2: Basic Formal Ontology (BFO)') is an ontology that is conformant to the requirements specified for top-level ontologies in ISO/IEC 21838‑1. BFO is a small, upper level ontology that is designed for use in supporting information retrieval, analysis and integration in scientific and other domains. BFO is a genuine upper ontology. Thus it does not contain physical, chemical, biological or other terms which would properly fall within the coverage domains of the special sciences. BFO is used by more than 250 ontology-driven endeavors throughout the world. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Data retrieval"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1908,"pubmed_id":null,"title":"Building Ontologies With Basic Formal Ontology","year":2015,"url":"https://mitpress.mit.edu/books/building-ontologies-basic-formal-ontology","authors":"Robert Arp, Barry Smith and Andrew Spear","journal":"(book) MIT Press","doi":null,"created_at":"2021-09-30T08:25:54.564Z","updated_at":"2021-09-30T08:25:54.564Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1752,"relation":"undefined"}],"grants":[{"id":10953,"fairsharing_record_id":1248,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:54:50.064Z","updated_at":"2023-09-27T14:54:50.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":7068,"fairsharing_record_id":1248,"organisation_id":1380,"relation":"maintains","created_at":"2021-09-30T09:28:24.788Z","updated_at":"2021-09-30T09:28:24.788Z","grant_id":null,"is_lead":true,"saved_state":{"id":1380,"name":"Institute for Formal Ontology and Medical Information Science (IFOMIS), Saarbruecken, Germany","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1287","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:31.609Z","metadata":{"doi":"10.25504/FAIRsharing.ezwdhz","name":"Phenotypic QualiTy Ontology","status":"ready","contacts":[{"contact_name":"George Gkoutos","contact_email":"g.gkoutos@gmail.com","contact_orcid":"0000-0002-2061-091X"}],"homepage":"https://github.com/pato-ontology/pato/","identifier":1287,"description":"PATO is an ontology of phenotypic qualities, intended for use in a number of applications, primarily phenotype annotation. This ontology can be used in conjunction with other ontologies such as GO or anatomical ontologies to refer to phenotypes.","abbreviation":"PATO","support_links":[{"url":"https://github.com/pato-ontology/pato/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/pato-ontology/pato/blob/master/CHANGES.md","name":"Changes with Each Release","type":"Github"}],"year_creation":2004,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PATO","name":"PATO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pato.html","name":"pato","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000134","bsg-s000134"],"name":"FAIRsharing record for: Phenotypic QualiTy Ontology","abbreviation":"PATO","url":"https://fairsharing.org/10.25504/FAIRsharing.ezwdhz","doi":"10.25504/FAIRsharing.ezwdhz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PATO is an ontology of phenotypic qualities, intended for use in a number of applications, primarily phenotype annotation. This ontology can be used in conjunction with other ontologies such as GO or anatomical ontologies to refer to phenotypes.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17570},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10871},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11960},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17987}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity","Biology"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":986,"pubmed_id":15642100,"title":"Using ontologies to describe mouse phenotypes.","year":2005,"url":"http://doi.org/10.1186/gb-2004-6-1-r8","authors":"Gkoutos GV,Green EC,Mallon AM,Hancock JM,Davidson D","journal":"Genome Biol","doi":"10.1186/gb-2004-6-1-r8","created_at":"2021-09-30T08:24:09.147Z","updated_at":"2021-09-30T08:24:09.147Z"},{"id":1185,"pubmed_id":20064205,"title":"Integrating phenotype ontologies across multiple species.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-1-r2","authors":"Mungall CJ,Gkoutos GV,Smith CL,Haendel MA,Lewis SE,Ashburner M","journal":"Genome Biol","doi":"10.1186/gb-2010-11-1-r2","created_at":"2021-09-30T08:24:31.725Z","updated_at":"2021-09-30T08:24:31.725Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1747,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1748,"relation":"undefined"}],"grants":[{"id":7140,"fairsharing_record_id":1287,"organisation_id":2295,"relation":"maintains","created_at":"2021-09-30T09:28:27.163Z","updated_at":"2021-09-30T09:28:27.163Z","grant_id":null,"is_lead":true,"saved_state":{"id":2295,"name":"PATO administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7141,"fairsharing_record_id":1287,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:27.205Z","updated_at":"2021-09-30T09:31:33.001Z","grant_id":1220,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BG/G004358/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7138,"fairsharing_record_id":1287,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:27.088Z","updated_at":"2021-09-30T09:32:06.097Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7139,"fairsharing_record_id":1287,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:27.125Z","updated_at":"2021-09-30T09:32:09.485Z","grant_id":1493,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1288","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-30T15:19:34.644Z","metadata":{"doi":"10.25504/FAIRsharing.tghhc4","name":"Pipeline Patterns Ontology","status":"ready","contacts":[{"contact_name":"PEAO Team","contact_email":"peaoteam@gmail.com"}],"homepage":"https://bitbucket.org/PlantExpAssay/ontology","citations":[],"identifier":1288,"description":"To answer the need for a workflow representing a sequence of data transformations, a high-level process ontology was defined, denoted Pipeline Patterns (PP) ontology. Every concept is generically a Data (class from EDAM), which can be further specified as an Entry (P:00002) or an Exit (P:00009). All Entries can be subjected to an Operation (class from EDAM) producing an Intermediate (P:00010). An Intermediate has a TemporalEntity associated to represent its time of creation. Some Entries are specifically of the type Exit, meaning that they will represent concepts that exit the current category and be passed to the next one on the workflow. Additionally, in order to permit the treatment of a set of objects as a single entity, this high-level ontology considers the concept of List (P:00004) and more specifically an Aggregate (P:00005), containing a set of Data or Entry, respectively. The concept Intermediate is an Entry, allowing for the successive application of an operation to an Element. This is particularly useful in the case of the application of sequential set of operations.","abbreviation":"PP","support_links":[],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PP","name":"PP","portal":"BioPortal"}]},"legacy_ids":["bsg-001043","bsg-s001043"],"name":"FAIRsharing record for: Pipeline Patterns Ontology","abbreviation":"PP","url":"https://fairsharing.org/10.25504/FAIRsharing.tghhc4","doi":"10.25504/FAIRsharing.tghhc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To answer the need for a workflow representing a sequence of data transformations, a high-level process ontology was defined, denoted Pipeline Patterns (PP) ontology. Every concept is generically a Data (class from EDAM), which can be further specified as an Entry (P:00002) or an Exit (P:00009). All Entries can be subjected to an Operation (class from EDAM) producing an Intermediate (P:00010). An Intermediate has a TemporalEntity associated to represent its time of creation. Some Entries are specifically of the type Exit, meaning that they will represent concepts that exit the current category and be passed to the next one on the workflow. Additionally, in order to permit the treatment of a set of objects as a single entity, this high-level ontology considers the concept of List (P:00004) and more specifically an Aggregate (P:00005), containing a set of Data or Entry, respectively. The concept Intermediate is an Entry, allowing for the successive application of an operation to an Element. This is particularly useful in the case of the application of sequential set of operations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Assay","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3150,"relation":"applies_to_content"}],"grants":[{"id":10471,"fairsharing_record_id":1288,"organisation_id":1447,"relation":"funds","created_at":"2023-03-30T15:18:47.062Z","updated_at":"2023-03-30T15:18:47.062Z","grant_id":1941,"is_lead":false,"saved_state":{"id":1447,"name":"Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Lisboa, Portugal","grant":"EXCL/EEI-ESS/0257/2012","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":10472,"fairsharing_record_id":1288,"organisation_id":1081,"relation":"funds","created_at":"2023-03-30T15:18:47.062Z","updated_at":"2023-03-30T15:18:47.062Z","grant_id":1505,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia","grant":"DATASTORM (Large-Scale Data Management in Cloud Environments) project ref. EXCL/EEI-ESS/0257/2012","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1289","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-17T07:52:57.227Z","metadata":{"doi":"10.25504/FAIRsharing.2ffmsb","name":"EDDA Study Designs Taxonomy","status":"deprecated","contacts":[{"contact_name":"Tanja Bekhuis","contact_email":"tcb24@pitt.edu"}],"homepage":"http://edda.dbmi.pitt.edu/","citations":[],"identifier":1289,"description":"Terminology of study designs and publication types (beta version). Developed by the Evidence in Documents, Discovery, and Analysis (EDDA) Group. Tanja Bekhuis (PI); Eugene Tseytlin (Systems Developer); Ashleigh Faith (Taxonomist). Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pennsylvania, US. This work was made possible, in part, by the US National Library of Medicine, National Institutes of Health, grant no. R00LM010943. Based on research described in Bekhuis T, Demner-Fushman D, Crowley RS. Comparative effectiveness research designs: an analysis of terms and coverage in Medical Subject Headings (MeSH) and Emtree. Journal of the Medical Library Association (JMLA). 2013 April;101(2):92-100. PMC3634392. The terminology appearing in JMLA has been enriched with terms from MeSH, NCI Thesaurus (NCIT), and Emtree, the controlled vocabularies for MEDLINE, the National Cancer Institute, and Embase, respectively, as well as from published research literature. Variants include synonyms for preferred terms, singular and plural forms, and American and British spellings. Definitions, if they exist, are mainly from MeSH, NCIT, Emtree, and medical dictionaries. A class for Publication Type is included because investigators consider type and design when screening reports for inclusion in comparative effectiveness research. EDDA Study Designs and Publications by Tanja Bekhuis is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.","abbreviation":"EDDA","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDDA","name":"EDDA","portal":"BioPortal"}],"deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000755","bsg-s000755"],"name":"FAIRsharing record for: EDDA Study Designs Taxonomy","abbreviation":"EDDA","url":"https://fairsharing.org/10.25504/FAIRsharing.2ffmsb","doi":"10.25504/FAIRsharing.2ffmsb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology of study designs and publication types (beta version). Developed by the Evidence in Documents, Discovery, and Analysis (EDDA) Group. Tanja Bekhuis (PI); Eugene Tseytlin (Systems Developer); Ashleigh Faith (Taxonomist). Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pennsylvania, US. This work was made possible, in part, by the US National Library of Medicine, National Institutes of Health, grant no. R00LM010943. Based on research described in Bekhuis T, Demner-Fushman D, Crowley RS. Comparative effectiveness research designs: an analysis of terms and coverage in Medical Subject Headings (MeSH) and Emtree. Journal of the Medical Library Association (JMLA). 2013 April;101(2):92-100. PMC3634392. The terminology appearing in JMLA has been enriched with terms from MeSH, NCI Thesaurus (NCIT), and Emtree, the controlled vocabularies for MEDLINE, the National Cancer Institute, and Embase, respectively, as well as from published research literature. Variants include synonyms for preferred terms, singular and plural forms, and American and British spellings. Definitions, if they exist, are mainly from MeSH, NCIT, Emtree, and medical dictionaries. A class for Publication Type is included because investigators consider type and design when screening reports for inclusion in comparative effectiveness research. EDDA Study Designs and Publications by Tanja Bekhuis is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1290","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T09:02:29.000Z","updated_at":"2021-11-24T13:14:30.014Z","metadata":{"doi":"10.25504/FAIRsharing.yy18av","name":"Minimum Information About a Cellular Assay for Regenerative Medicine","status":"ready","contacts":[{"contact_name":"Kunie Sakurai","contact_email":"k.sakurai@cira.kyoto-u.ac.jp"}],"homepage":"http://stemcellinformatics.org/standards/minimum_info","identifier":1290,"description":"Currently, there are more than 20 human cell information storage sites around the world. However, reproducibility and data exchange among different laboratories or cell information providers are usually inadequate or nonexistent because of the lack of a standardized format for experiments. This study, which is the fruit of collaborative work by scientists at stem cell banks and cellular information registries worldwide, including those in the U.S., the U.K., Europe, and Japan, proposes new minimum information guidelines, Minimum Information About a Cellular Assay for Regenerative Medicine (MIACARM), for cellular assay data deposition. MIACARM was developed based on the existing guideline called MIACA. MIACARM is intended to promote data exchange and facilitation of practical regenerative medicine.","abbreviation":"MIACARM","year_creation":2016},"legacy_ids":["bsg-000679","bsg-s000679"],"name":"FAIRsharing record for: Minimum Information About a Cellular Assay for Regenerative Medicine","abbreviation":"MIACARM","url":"https://fairsharing.org/10.25504/FAIRsharing.yy18av","doi":"10.25504/FAIRsharing.yy18av","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Currently, there are more than 20 human cell information storage sites around the world. However, reproducibility and data exchange among different laboratories or cell information providers are usually inadequate or nonexistent because of the lack of a standardized format for experiments. This study, which is the fruit of collaborative work by scientists at stem cell banks and cellular information registries worldwide, including those in the U.S., the U.K., Europe, and Japan, proposes new minimum information guidelines, Minimum Information About a Cellular Assay for Regenerative Medicine (MIACARM), for cellular assay data deposition. MIACARM was developed based on the existing guideline called MIACA. MIACARM is intended to promote data exchange and facilitation of practical regenerative medicine.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12076}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Regenerative Medicine","Biomedical Science"],"domains":["Cell","Stem cell","Quality control","Assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States","European Union"],"publications":[{"id":1647,"pubmed_id":27405781,"title":"First proposal of Minimum Information About a Cellular Assay for Regenerative Medicine","year":2016,"url":"http://doi.org/10.5966/sctm.2015-0393","authors":"Kunie Sakurai, Andreas Kurtz, Glyn Stacey, Michael Sheldon, and Wataru Fujibuchi","journal":"Stem Cells Translational Medicine","doi":"10.5966/sctm.2015-0393","created_at":"2021-09-30T08:25:24.489Z","updated_at":"2021-09-30T08:25:24.489Z"}],"licence_links":[],"grants":[{"id":7142,"fairsharing_record_id":1290,"organisation_id":425,"relation":"maintains","created_at":"2021-09-30T09:28:27.292Z","updated_at":"2021-09-30T09:28:27.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":425,"name":"Center for iPS Cell Research and Application, Kyoto University, Japan","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1291","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:48:57.960Z","metadata":{"doi":"10.25504/FAIRsharing.t955dp","name":"Read Codes Clinical Terms Version 3","status":"ready","contacts":[{"contact_name":"NHS Information Authority Loughborough","contact_email":"helpdesk3@nhsccc.exec.nhs.uk"}],"homepage":"https://digital.nhs.uk/article/1104/Read-Codes","identifier":1291,"description":"Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. Clinical Terms Version 3 (CTV3) has been merged with the Systematized Nomenclature of Medicine – Reference Terminology (SNOMED RT), resulting in the creation of SNOMED – Clinical Terms (SNOMED CT). PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, with CTV3 due to be retired after the April 2018 release. Organisations should be well underway with their preparations to ensure they can use the dictionary of medicines and devices (dm+d) for medicines and SNOMED CT for clinical content. SNOMED CT is adopted across primary care and the wider NHS.","abbreviation":"CTV3","support_links":[{"url":"information.standards@hscic.gov.uk","name":"Contact Email","type":"Support email"}],"year_creation":1985,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RCD","name":"RCD","portal":"BioPortal"}]},"legacy_ids":["bsg-000930","bsg-s000930"],"name":"FAIRsharing record for: Read Codes Clinical Terms Version 3","abbreviation":"CTV3","url":"https://fairsharing.org/10.25504/FAIRsharing.t955dp","doi":"10.25504/FAIRsharing.t955dp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. Clinical Terms Version 3 (CTV3) has been merged with the Systematized Nomenclature of Medicine – Reference Terminology (SNOMED RT), resulting in the creation of SNOMED – Clinical Terms (SNOMED CT). PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, with CTV3 due to be retired after the April 2018 release. Organisations should be well underway with their preparations to ensure they can use the dictionary of medicines and devices (dm+d) for medicines and SNOMED CT for clinical content. SNOMED CT is adopted across primary care and the wider NHS.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12527}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Primary Health Care","Preclinical Studies"],"domains":["Drug","Diagnosis","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Government Licence (OGL)","licence_id":628,"licence_url":"http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/","link_id":1374,"relation":"undefined"}],"grants":[{"id":7143,"fairsharing_record_id":1291,"organisation_id":2903,"relation":"maintains","created_at":"2021-09-30T09:28:27.333Z","updated_at":"2021-09-30T09:28:27.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":2903,"name":"UK Terminology Centre (UKTC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1300","type":"fairsharing_records","attributes":{"created_at":"2018-03-14T09:58:26.000Z","updated_at":"2022-12-13T09:40:42.750Z","metadata":{"doi":"10.25504/FAIRsharing.dkKf7I","name":"Simple Application Messaging Protocol","status":"ready","contacts":[{"contact_name":"SAMP Mailing list","contact_email":"apps-samp@ivoa.net"}],"homepage":"http://ivoa.net/documents/SAMP/index.html","citations":[{"publication_id":2929}],"identifier":1300,"description":"SAMP is a messaging protocol that enables astronomy software tools to interoperate and communicate. IVOA members have recognised that building a monolithic tool that attempts to fulfil all the requirements of all users is impractical, and it is a better use of our limited resources to enable individual tools to work together better. One element of this is defining common file formats for the exchange of data between different applications. Another important component is a messaging system that enables the applications to share data and take advantage of each other's functionality. SAMP supports communication between applications on the desktop and in web browsers, and is also intended to form a framework for more general messaging requirements.","abbreviation":"SAMP","support_links":[{"url":"m.b.taylor@bristol.ac.uk","name":"M. Taylor","type":"Support email"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SampInfo","name":"SAMP Wiki","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001142","bsg-s001142"],"name":"FAIRsharing record for: Simple Application Messaging Protocol","abbreviation":"SAMP","url":"https://fairsharing.org/10.25504/FAIRsharing.dkKf7I","doi":"10.25504/FAIRsharing.dkKf7I","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SAMP is a messaging protocol that enables astronomy software tools to interoperate and communicate. IVOA members have recognised that building a monolithic tool that attempts to fulfil all the requirements of all users is impractical, and it is a better use of our limited resources to enable individual tools to work together better. One element of this is defining common file formats for the exchange of data between different applications. Another important component is a messaging system that enables the applications to share data and take advantage of each other's functionality. SAMP supports communication between applications on the desktop and in web browsers, and is also intended to form a framework for more general messaging requirements.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11485}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Integration","Astrophysics and Astronomy"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2278,"pubmed_id":null,"title":"SAMP, the Simple Application Messaging Protocol: Letting applications talk to each other","year":2015,"url":"http://doi.org/10.1016/j.ascom.2014.12.007","authors":"M.B.Taylor, T.Boch, J.Taylor","journal":"Astronomy and Computing, Volume 11, Part B, Pages 81-90","doi":"10.1016/j.ascom.2014.12.007","created_at":"2021-09-30T08:26:37.481Z","updated_at":"2021-09-30T08:26:37.481Z"},{"id":2929,"pubmed_id":null,"title":"Simple Application Messaging Protocol Version 1.3","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.1104T","authors":"Taylor, M.; Boch, T.; Fitzpatrick, M.; Allan, A.; Fay, J.; Paioro, L.; Taylor, J.; Tody, D.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:00.750Z","updated_at":"2021-09-30T08:28:00.750Z"}],"licence_links":[],"grants":[{"id":7160,"fairsharing_record_id":1300,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:27.986Z","updated_at":"2021-09-30T09:28:27.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7161,"fairsharing_record_id":1300,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:28.026Z","updated_at":"2021-09-30T09:28:28.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1301","type":"fairsharing_records","attributes":{"created_at":"2015-11-25T16:56:39.000Z","updated_at":"2021-11-24T13:13:30.246Z","metadata":{"doi":"10.25504/FAIRsharing.1bg18n","name":"Life Sciences Domain Analysis Model","status":"deprecated","contacts":[{"contact_name":"Juli Klemm","contact_email":"klemmj@mail.nih.gov"}],"homepage":"https://wiki.nci.nih.gov/pages/viewpage.action?pageId=23401587","identifier":1301,"description":"The LS DAM v2.2.1 is comprised of 130 classes and covers several core areas including Experiment, Molecular Biology, Molecular Databases and Specimen. Nearly half of these classes originate from the BRIDG model, emphasizing the semantic harmonization between these models. Validation of the LS DAM against independently derived information models, research scenarios and reference databases supports its general applicability to represent life sciences research.","abbreviation":"LS-DAM","year_creation":2012,"deprecation_date":"2015-11-30","deprecation_reason":"This record for the LS-DAM standard is deprecated as this standard is no longer actively maintained in it's own right as it has become subsumed into the BRIDG model standard."},"legacy_ids":["bsg-000627","bsg-s000627"],"name":"FAIRsharing record for: Life Sciences Domain Analysis Model","abbreviation":"LS-DAM","url":"https://fairsharing.org/10.25504/FAIRsharing.1bg18n","doi":"10.25504/FAIRsharing.1bg18n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LS DAM v2.2.1 is comprised of 130 classes and covers several core areas including Experiment, Molecular Biology, Molecular Databases and Specimen. Nearly half of these classes originate from the BRIDG model, emphasizing the semantic harmonization between these models. Validation of the LS DAM against independently derived information models, research scenarios and reference databases supports its general applicability to represent life sciences research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Molecular biology","Life Science"],"domains":["Gene model annotation","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":886,"pubmed_id":22744959,"title":"Life sciences domain analysis model.","year":2012,"url":"http://doi.org/10.1136/amiajnl-2011-000763","authors":"Freimuth RR, Freund ET, Schick L, Sharma MK, Stafford GA, Suzek BE, Hernandez J, Hipp J, Kelley JM, Rokicki K, Pan S, Buckler A, Stokes TH, Fernandez A, Fore I, Buetow KH, Klemm JD","journal":"J Am Med Inform Assoc","doi":"10.1136/amiajnl-2011-000763","created_at":"2021-09-30T08:23:57.837Z","updated_at":"2021-09-30T08:23:57.837Z"}],"licence_links":[],"grants":[{"id":7162,"fairsharing_record_id":1301,"organisation_id":1223,"relation":"maintains","created_at":"2021-09-30T09:28:28.069Z","updated_at":"2021-09-30T09:28:28.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7163,"fairsharing_record_id":1301,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:28:28.107Z","updated_at":"2021-09-30T09:28:28.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7164,"fairsharing_record_id":1301,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:28:28.144Z","updated_at":"2021-09-30T09:28:28.144Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1302","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:18:03.168Z","metadata":{"doi":"10.25504/FAIRsharing.31apg2","name":"IBP Cowpea Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_340:ROOT","citations":[],"identifier":1302,"description":"The Cowpea Trait Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_340","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help page","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001104","bsg-s001104"],"name":"FAIRsharing record for: IBP Cowpea Trait Ontology","abbreviation":"CO_340","url":"https://fairsharing.org/10.25504/FAIRsharing.31apg2","doi":"10.25504/FAIRsharing.31apg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cowpea Trait Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food","Phenotype"],"taxonomies":["Vigna unguiculata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[{"id":2198,"pubmed_id":22934074,"title":"Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice.","year":2012,"url":"http://doi.org/10.3389/fphys.2012.00326","authors":"Shrestha R,Matteis L,Skofic M,Portugal A,McLaren G,Hyman G,Arnaud E","journal":"Front Physiol","doi":"10.3389/fphys.2012.00326","created_at":"2021-09-30T08:26:27.748Z","updated_at":"2021-09-30T08:26:27.748Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1815,"relation":"undefined"}],"grants":[{"id":7165,"fairsharing_record_id":1302,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:28:28.186Z","updated_at":"2021-09-30T09:28:28.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7166,"fairsharing_record_id":1302,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:28:28.240Z","updated_at":"2021-09-30T09:28:28.240Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1303","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.374Z","metadata":{"doi":"10.25504/FAIRsharing.bnx9cf","name":"Molecular Connections Cell Line Ontology","status":"uncertain","contacts":[{"contact_name":"Usha Mahadevan","contact_email":"usha@molecularconnections.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/MCCL","identifier":1303,"description":"The Molecular Connections Cell Line Ontology models primary and established cell lines-both normal and pathologic. It covers around 400 cell lines. This ontology has been built to include the major domains in the field of biology like anatomy, bio-molecules, chemicals and drugs, pathological conditions and genetic variations around the cell lines. The ontology covers all cell lines from sources such ATCC, DSMZ, ECACC, ICLC. This ontology has been developed as an extension of the sub class “cell line cell” which is a part of the major class “experimentally modified cell” of the Cell type [CL] ontology that already existed in OBO foundry. Disease ontology with which the cell line relates to has been exported from “Human Disease” [DOID] ontology and the organ/tissue details relate to the “Foundational model of anatomy” [FMA] ontology. There appears to be no official homepage.","abbreviation":"MCCL","support_links":[{"url":"http://www.molecularconnections.com/?p=14924","name":"Molecular Connections Press Release","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MCCL","name":"MCCL","portal":"BioPortal"}]},"legacy_ids":["bsg-002620","bsg-s002620"],"name":"FAIRsharing record for: Molecular Connections Cell Line Ontology","abbreviation":"MCCL","url":"https://fairsharing.org/10.25504/FAIRsharing.bnx9cf","doi":"10.25504/FAIRsharing.bnx9cf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Molecular Connections Cell Line Ontology models primary and established cell lines-both normal and pathologic. It covers around 400 cell lines. This ontology has been built to include the major domains in the field of biology like anatomy, bio-molecules, chemicals and drugs, pathological conditions and genetic variations around the cell lines. The ontology covers all cell lines from sources such ATCC, DSMZ, ECACC, ICLC. This ontology has been developed as an extension of the sub class “cell line cell” which is a part of the major class “experimentally modified cell” of the Cell type [CL] ontology that already existed in OBO foundry. Disease ontology with which the cell line relates to has been exported from “Human Disease” [DOID] ontology and the organ/tissue details relate to the “Foundational model of anatomy” [FMA] ontology. There appears to be no official homepage.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Health Science","Life Science"],"domains":["Cell line","Cell","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":7167,"fairsharing_record_id":1303,"organisation_id":1887,"relation":"maintains","created_at":"2021-09-30T09:28:28.277Z","updated_at":"2021-09-30T09:28:28.277Z","grant_id":null,"is_lead":false,"saved_state":{"id":1887,"name":"Molecular Connections, Bangalore, India","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1304","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2023-03-24T15:29:31.104Z","metadata":{"doi":"10.25504/FAIRsharing.str8m4","name":"Cigarette Smoke Exposure Ontology","status":"deprecated","contacts":[{"contact_name":"Dr. Sam Ansari","contact_email":"sam.ansari@pmi.com"}],"homepage":"https://publicwiki-01.fraunhofer.de/CSEO-Wiki/index.php/Main_Page","citations":[{"doi":"10.1186/2041-1480-5-31","pubmed_id":25093069,"publication_id":1384}],"identifier":1304,"description":"The Cigarette Smoke Exposure Ontology (CSEO) is a specialized ontology of environmental exposure with particular focus on the description of the experimental elements and the impact that environmental exposure, e.g. cigarette smoke, poses to biological systems. The scope of CSEO is centered on the following elements: Exposure experiment, Exposure condition, Test system, Sampling, and Disease outcome.","abbreviation":"CSEO","support_links":[{"url":"https://publicwiki-01.fraunhofer.de/CSEO-Wiki/index.php/About_CSEO","name":"About CSEO","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSEO","name":"CSEO","portal":"BioPortal"}],"deprecation_date":"2023-03-24","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-000944","bsg-s000944"],"name":"FAIRsharing record for: Cigarette Smoke Exposure Ontology","abbreviation":"CSEO","url":"https://fairsharing.org/10.25504/FAIRsharing.str8m4","doi":"10.25504/FAIRsharing.str8m4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cigarette Smoke Exposure Ontology (CSEO) is a specialized ontology of environmental exposure with particular focus on the description of the experimental elements and the impact that environmental exposure, e.g. cigarette smoke, poses to biological systems. The scope of CSEO is centered on the following elements: Exposure experiment, Exposure condition, Test system, Sampling, and Disease outcome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Environmental contaminant","Disease course","Exposure"],"taxonomies":["All"],"user_defined_tags":["Species-environment interaction"],"countries":["Germany","Switzerland","United States"],"publications":[{"id":1384,"pubmed_id":25093069,"title":"CSEO - the Cigarette Smoke Exposure Ontology.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-31","authors":"Younesi E,Ansari S,Guendel M,Ahmadi S,Coggins C,Hoeng J,Hofmann-Apitius M,Peitsch MC","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-31","created_at":"2021-09-30T08:24:54.768Z","updated_at":"2021-09-30T08:24:54.768Z"}],"licence_links":[],"grants":[{"id":7168,"fairsharing_record_id":1304,"organisation_id":2320,"relation":"funds","created_at":"2021-09-30T09:28:28.319Z","updated_at":"2021-09-30T09:28:28.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":2320,"name":"Philip Morris International R\u0026D, Philip Morris Products S.A, Neuchatel, Switzerland","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7169,"fairsharing_record_id":1304,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:28:28.357Z","updated_at":"2021-09-30T09:28:28.357Z","grant_id":null,"is_lead":true,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1295","type":"fairsharing_records","attributes":{"created_at":"2019-10-24T11:01:53.000Z","updated_at":"2022-07-20T12:47:31.122Z","metadata":{"doi":"10.25504/FAIRsharing.vxpUJ6","name":"Ontology of Host-Pathogen Interactions","status":"ready","contacts":[{"contact_name":"Edison Ong","contact_email":"edong@umich.edu","contact_orcid":"0000-0002-5159-414X"}],"homepage":"https://github.com/OHPI/ohpi","identifier":1295,"description":"OHPI is a community-driven ontology of host-pathogen interactions (OHPI) and represents the virulence factors (VFs) and how the mutants of VFs in the Victors database become less virulence inside a host organism or host cells. It is also developed to represent manually curated HPI knowledge available in the PHIDIAS resource.","abbreviation":"OHPI","support_links":[{"url":"https://github.com/OHPI/ohpi/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2019,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OHPI","name":"OHPI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ohpi.html","name":"ohpi","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001395","bsg-s001395"],"name":"FAIRsharing record for: Ontology of Host-Pathogen Interactions","abbreviation":"OHPI","url":"https://fairsharing.org/10.25504/FAIRsharing.vxpUJ6","doi":"10.25504/FAIRsharing.vxpUJ6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OHPI is a community-driven ontology of host-pathogen interactions (OHPI) and represents the virulence factors (VFs) and how the mutants of VFs in the Victors database become less virulence inside a host organism or host cells. It is also developed to represent manually curated HPI knowledge available in the PHIDIAS resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Biomedical Science"],"domains":["Pathogen","Host","Infection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2588,"pubmed_id":30365026,"title":"Victors: a web-based knowledge base of virulence factors in human and animal pathogens.","year":2018,"url":"http://doi.org/10.1093/nar/gky999","authors":"Sayers S,Li L,Ong E,Deng S,Fu G,Lin Y,Yang B,Zhang S,Fa Z,Zhao B,Xiang Z,Li Y,Zhao XM,Olszewski MA,Chen L,He Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky999","created_at":"2021-09-30T08:27:17.434Z","updated_at":"2021-09-30T11:29:40.110Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1474,"relation":"undefined"}],"grants":[{"id":7152,"fairsharing_record_id":1295,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:27.652Z","updated_at":"2021-09-30T09:28:27.652Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1296","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:16.000Z","updated_at":"2022-07-20T12:19:06.659Z","metadata":{"doi":"10.25504/FAIRsharing.dxcjn5","name":"Agroecology Knowledge Management","status":"ready","contacts":[{"contact_name":"GECO support","contact_email":"geco@irstea.fr"}],"homepage":"https://data.inrae.fr/dataset.xhtml?persistentId=doi:10.15454/1.4822495904463706E12","citations":[{"publication_id":2566}],"identifier":1296,"description":"Agroecology knowledge management is an application ontology for the description and organization of knowledge to design innovative crop systems.","abbreviation":"GECO","support_links":[{"url":"http://omv.ontoware.org/2005/05/ontology#documentation","name":"documentation","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000726","bsg-s000726"],"name":"FAIRsharing record for: Agroecology Knowledge Management","abbreviation":"GECO","url":"https://fairsharing.org/10.25504/FAIRsharing.dxcjn5","doi":"10.25504/FAIRsharing.dxcjn5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Agroecology knowledge management is an application ontology for the description and organization of knowledge to design innovative crop systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Agroecology","Knowledge and Information Systems"],"domains":["Cropping systems"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":2566,"pubmed_id":null,"title":"GECO, the French Web-based application for knowledge management in agroecology","year":2019,"url":"https://www.sciencedirect.com/science/article/abs/pii/S0168169917300492?via%3Dihub","authors":"Vincent Soulignac, François Pinet, Eva Lambert, Laurence Guichard, Luce Trouche, Sophie Aubin","journal":"Computers and Electronics in Agriculture Volume 162, July 2019, Pages 1050-1056","doi":null,"created_at":"2021-09-30T08:27:14.677Z","updated_at":"2021-09-30T08:27:14.677Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":850,"relation":"undefined"}],"grants":[{"id":7153,"fairsharing_record_id":1296,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:27.691Z","updated_at":"2021-09-30T09:28:27.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1297","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:47.100Z","metadata":{"doi":"10.25504/FAIRsharing.5744rq","name":"Sample processing and separations controlled vocabulary","status":"ready","contacts":[{"contact_name":"SEP Developers","contact_email":"psidev-gps-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/sepcv","identifier":1297,"description":"The sepCV is a controlled vocabulary for teminology associated with sample preparation and sample processing for proteomics. The sepCV was originally designed to provide terminology for the MIAPE GE reporting guidelines and the gelML data transfer format. It has now been expanded to include terminology for gel image informatics to support the MIAPE GI reporting guidelines and the GelInfoML data transfer format. In addition it includes relevant terminology for general sample processing to support the data transfer format of spML. The sepCV is beign jointly developed by the Proteomics Standards Intiative (PSI) and the Metabolomics Standards Intitative (MSI).","abbreviation":"sepCV","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"https://raw.githubusercontent.com/HUPO-PSI/gelml/master/CV/sep.obo","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SEP","name":"SEP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/sep.html","name":"sep","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000073","bsg-s000073"],"name":"FAIRsharing record for: Sample processing and separations controlled vocabulary","abbreviation":"sepCV","url":"https://fairsharing.org/10.25504/FAIRsharing.5744rq","doi":"10.25504/FAIRsharing.5744rq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The sepCV is a controlled vocabulary for teminology associated with sample preparation and sample processing for proteomics. The sepCV was originally designed to provide terminology for the MIAPE GE reporting guidelines and the gelML data transfer format. It has now been expanded to include terminology for gel image informatics to support the MIAPE GI reporting guidelines and the GelInfoML data transfer format. In addition it includes relevant terminology for general sample processing to support the data transfer format of spML. The sepCV is beign jointly developed by the Proteomics Standards Intiative (PSI) and the Metabolomics Standards Intitative (MSI).","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11424},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11933}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Sample preparation for assay","Material processing","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[],"licence_links":[],"grants":[{"id":7154,"fairsharing_record_id":1297,"organisation_id":1822,"relation":"maintains","created_at":"2021-09-30T09:28:27.722Z","updated_at":"2021-09-30T09:28:27.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7155,"fairsharing_record_id":1297,"organisation_id":1292,"relation":"maintains","created_at":"2021-09-30T09:28:27.759Z","updated_at":"2021-09-30T09:28:27.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":1292,"name":"HUPO-PSI initiative; Separation working group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1298","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:57:36.000Z","updated_at":"2022-12-13T10:24:09.482Z","metadata":{"doi":"10.25504/FAIRsharing.4PesRe","name":"StandardsRegExt: a VOResource Schema Extension for Describing IVOA Standards","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/StandardsRegExt/","citations":[{"publication_id":2958}],"identifier":1298,"description":"StandardsRegExt is an XML encoding standard for metadata about IVOA standards themselves, referred to as StandardsRegExt. It is intended to allow for the discovery of a standard via an IVOA identifier that refers to the standard. It also allows one to define concepts that are defined by the standard which can themselves be referred to via an IVOA identifier (augmented with a URL fragment identifier). Finally, it can also provide a machine interpretable description of a standard service interface. We describe the general model for the schema and explain its intended use by interoperable registries for discovering resources.","abbreviation":"StandardsRegExt","support_links":[{"url":"http://ivoa.net/documents/StandardsRegExt/20120508/REC-StandardsRegExt-1.0-20120508.html","name":"View Standard","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001199","bsg-s001199"],"name":"FAIRsharing record for: StandardsRegExt: a VOResource Schema Extension for Describing IVOA Standards","abbreviation":"StandardsRegExt","url":"https://fairsharing.org/10.25504/FAIRsharing.4PesRe","doi":"10.25504/FAIRsharing.4PesRe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: StandardsRegExt is an XML encoding standard for metadata about IVOA standards themselves, referred to as StandardsRegExt. It is intended to allow for the discovery of a standard via an IVOA identifier that refers to the standard. It also allows one to define concepts that are defined by the standard which can themselves be referred to via an IVOA identifier (augmented with a URL fragment identifier). Finally, it can also provide a machine interpretable description of a standard service interface. We describe the general model for the schema and explain its intended use by interoperable registries for discovering resources.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11461}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2958,"pubmed_id":null,"title":"StandardsRegExt: a VOResource Schema Extension for Describing IVOA Standards Version 1.0","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0508H","authors":"Harrison, Paul; Burke, Douglas; Plante, Ray; Rixon, Guy; Morris, Dave; IVOA Registry Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.558Z","updated_at":"2021-09-30T08:28:04.558Z"}],"licence_links":[],"grants":[{"id":7156,"fairsharing_record_id":1298,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:27.802Z","updated_at":"2021-09-30T09:28:27.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7157,"fairsharing_record_id":1298,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:27.840Z","updated_at":"2021-09-30T09:28:27.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1299","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T20:15:13.000Z","updated_at":"2022-12-13T09:41:01.389Z","metadata":{"doi":"10.25504/FAIRsharing.WQLolR","name":"HEALPix Multi-Order Coverage Map","status":"ready","contacts":[{"contact_name":"IVOA Applications Working Group","contact_email":"apps@ivoa.net"}],"homepage":"http://ivoa.net/documents/MOC/index.html","citations":[{"publication_id":2931}],"identifier":1299,"description":"This document describes the Multi-Order Coverage map method (MOC) to specify arbitrary sky regions. The goal is to be able to provide a very fast comparison mechanism between coverage maps. The mechanism is based on the HEALPix sky tessellation algorithm. It is essentially a simple way to map regions of the sky into hierarchically grouped predefined cells. The encoding method described in this document allows one to define and manipulate any region of the sky in such a way that basic operations like union, intersection, equality test can be performed very efficiently. It is dedicated to Virtual Observatory (VO) applications or VO data servers for building efficient procedures for which mapping knowledge is required like generic catalog cross-match, computation of data set intersections, or similar operations.","abbreviation":"MOC","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/MocInfo","name":"MOC Wiki","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-001145","bsg-s001145"],"name":"FAIRsharing record for: HEALPix Multi-Order Coverage Map","abbreviation":"MOC","url":"https://fairsharing.org/10.25504/FAIRsharing.WQLolR","doi":"10.25504/FAIRsharing.WQLolR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document describes the Multi-Order Coverage map method (MOC) to specify arbitrary sky regions. The goal is to be able to provide a very fast comparison mechanism between coverage maps. The mechanism is based on the HEALPix sky tessellation algorithm. It is essentially a simple way to map regions of the sky into hierarchically grouped predefined cells. The encoding method described in this document allows one to define and manipulate any region of the sky in such a way that basic operations like union, intersection, equality test can be performed very efficiently. It is dedicated to Virtual Observatory (VO) applications or VO data servers for building efficient procedures for which mapping knowledge is required like generic catalog cross-match, computation of data set intersections, or similar operations.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11466}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2931,"pubmed_id":null,"title":"MOC - HEALPix Multi-Order Coverage map Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.0602F","authors":"Fernique, Pierre; Boch, Thomas; Donaldson, Tom; Durand, Daniel; O'Mullane, Wil; Reinecke, Martin; Taylor, Mark","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.134Z","updated_at":"2021-09-30T08:28:01.134Z"}],"licence_links":[],"grants":[{"id":7159,"fairsharing_record_id":1299,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:27.936Z","updated_at":"2021-09-30T09:28:27.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7158,"fairsharing_record_id":1299,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:27.894Z","updated_at":"2021-09-30T09:28:27.894Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1280","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:37:52.718Z","metadata":{"doi":"10.25504/FAIRsharing.q72e3w","name":"Short Read Archive eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"Data submission help email","contact_email":"datasubs@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/ena/submit/read-xml-format-1-5","identifier":1280,"description":"The SRA data model contains the following objects: Study: information about the sequencing project Sample: information about the sequenced samples Experiment: information about the libraries, platform; associated with study, sample(s) and run(s) Run: contains the raw data files Analysis: contains the analysis data files; associated with study, sample and run objects Submission: information about the submission actions include release date. It is used by The Sequence Read Archive (SRA) and the European Nucleotide Archive (ENA) to store raw sequencing data from the next generation of sequencing platforms including Roche 454 GS System, Illumina Genome Analyzer, Applied Biosystems SOLiD System, Helicos Heliscope, Complete Genomics, and Pacific Biosciences SMRT. Please note that the SRA-XML webpage states that \"This page has been deprecated and may be removed without further notice.\"","abbreviation":"SRA-XML","support_links":[{"url":"https://www.ebi.ac.uk/ena/submit/read-data-format#metadata_format","name":"SRA XML Metadata Format 1.5","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-000084","bsg-s000084"],"name":"FAIRsharing record for: Short Read Archive eXtensible Markup Language","abbreviation":"SRA-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.q72e3w","doi":"10.25504/FAIRsharing.q72e3w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SRA data model contains the following objects: Study: information about the sequencing project Sample: information about the sequenced samples Experiment: information about the libraries, platform; associated with study, sample(s) and run(s) Run: contains the raw data files Analysis: contains the analysis data files; associated with study, sample and run objects Submission: information about the submission actions include release date. It is used by The Sequence Read Archive (SRA) and the European Nucleotide Archive (ENA) to store raw sequencing data from the next generation of sequencing platforms including Roche 454 GS System, Illumina Genome Analyzer, Applied Biosystems SOLiD System, Helicos Heliscope, Complete Genomics, and Pacific Biosciences SMRT. Please note that the SRA-XML webpage states that \"This page has been deprecated and may be removed without further notice.\"","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11190},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11937},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12399}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science","Transcriptomics"],"domains":["Nucleic acid sequence","DNA sequence data","Assay","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":934,"relation":"undefined"}],"grants":[{"id":7129,"fairsharing_record_id":1280,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:26.785Z","updated_at":"2021-09-30T09:28:26.785Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1281","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:46.850Z","metadata":{"doi":"10.25504/FAIRsharing.avw5q","name":"Collaborative Computing Project for NMR","status":"ready","contacts":[{"contact_name":"Tim Stevens","contact_email":"tjs23@mole.bio.cam.ac.uk"}],"homepage":"http://www.ccpn.ac.uk/software/extras/datamodelfolder/datamodel","identifier":1281,"description":"The CCPN Data Model for macromolecular NMR is intended to cover all data needed for macromolecular NMR spectroscopy from the initial experimental data to the final validation. It serves for exchange of data between programs, for storage, data harvesting, and database deposition. The data model proper is an abstract description of the relevant data and their relationships - it is implemented in the modeling language UML. From this CCPN autogenerates interfaces (APIs) for various languages, format description and I/O routines, and documentation.","abbreviation":"CCPN data model","support_links":[{"url":"http://www.ccpn.ac.uk/v2-software/software/tutorials","type":"Help documentation"},{"url":"https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=CCPNMR","type":"Mailing list"},{"url":"https://sites.google.com/site/ccpnwiki/Home/","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000284","bsg-s000284"],"name":"FAIRsharing record for: Collaborative Computing Project for NMR","abbreviation":"CCPN data model","url":"https://fairsharing.org/10.25504/FAIRsharing.avw5q","doi":"10.25504/FAIRsharing.avw5q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CCPN Data Model for macromolecular NMR is intended to cover all data needed for macromolecular NMR spectroscopy from the initial experimental data to the final validation. It serves for exchange of data between programs, for storage, data harvesting, and database deposition. The data model proper is an abstract description of the relevant data and their relationships - it is implemented in the modeling language UML. From this CCPN autogenerates interfaces (APIs) for various languages, format description and I/O routines, and documentation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Molecular entity","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1722,"pubmed_id":15613391,"title":"A framework for scientific data modeling and automated software development.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bti234","authors":"Fogh RH,Boucher W,Vranken WF,Pajon A,Stevens TJ,Bhat TN,Westbrook J,Ionides JM,Laue ED","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti234","created_at":"2021-09-30T08:25:32.965Z","updated_at":"2021-09-30T08:25:32.965Z"}],"licence_links":[],"grants":[{"id":7130,"fairsharing_record_id":1281,"organisation_id":2756,"relation":"maintains","created_at":"2021-09-30T09:28:26.811Z","updated_at":"2021-09-30T09:28:26.811Z","grant_id":null,"is_lead":false,"saved_state":{"id":2756,"name":"The Collaborative Computing Project for NMR (CCPN), Cambridge, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1292","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:17:10.543Z","metadata":{"doi":"10.25504/FAIRsharing.8ntfwm","name":"Standards for Reporting Enzymology Data Guidelines","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"strenda@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/strenda/guidelines","citations":[{"doi":"10.1016/j.pisc.2014.02.012","pubmed_id":null,"publication_id":1303},{"doi":"10.1111/febs.14427","pubmed_id":29498804,"publication_id":2613}],"identifier":1292,"description":"STRENDA stands for “Standards for Reporting Enzymology Data”. For researchers it is essential to be able to compare, evaluate, interpret and reproduce experimental research results published in the literature and databases. Thus, for enzyme research, the STRENDA Commission has established standards for data reporting with the aim to improve the quality of data published in the scientific literature. The STRENDA Guidelines were developed through extensive interactions with the biochemistry community to define the minimum information that is needed to correctly describe assay conditions (List Level 1A) and enzyme activity data (List Level 1B). However, STRENDA aims neither to dictate or limit the experimental techniques used in enzymology experiments nor to establish a metric for judging the quality of experimental data, but to ensure that data sets are complete and validated, allowing scientists to review, reuse and verify them. The emphasis is on providing useful and reliable information. With the aim to support authors to comprehensively report kinetic and equilibrium data from their investigations of enzyme activities, currently more than 55 international biochemistry journals already included the STRENDA Guidelines in their Instructions for Authors. The STRENDA Commission is continuously consulting the wider science community, reports the progress of its work and discusses new approaches regularly at the Beilstein Enzymology Symposia and in scientific journals.","abbreviation":"STRENDA","support_links":[{"url":"strenda@beilstein-institut.de","type":"Support email"},{"url":"http://mibbi.sf.net/projects/STRENDA.shtml","type":"Help documentation"},{"url":"http://www.beilstein-institut.de/en/projects/strenda/guidelines","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000169","bsg-s000169"],"name":"FAIRsharing record for: Standards for Reporting Enzymology Data Guidelines","abbreviation":"STRENDA","url":"https://fairsharing.org/10.25504/FAIRsharing.8ntfwm","doi":"10.25504/FAIRsharing.8ntfwm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STRENDA stands for “Standards for Reporting Enzymology Data”. For researchers it is essential to be able to compare, evaluate, interpret and reproduce experimental research results published in the literature and databases. Thus, for enzyme research, the STRENDA Commission has established standards for data reporting with the aim to improve the quality of data published in the scientific literature. The STRENDA Guidelines were developed through extensive interactions with the biochemistry community to define the minimum information that is needed to correctly describe assay conditions (List Level 1A) and enzyme activity data (List Level 1B). However, STRENDA aims neither to dictate or limit the experimental techniques used in enzymology experiments nor to establish a metric for judging the quality of experimental data, but to ensure that data sets are complete and validated, allowing scientists to review, reuse and verify them. The emphasis is on providing useful and reliable information. With the aim to support authors to comprehensively report kinetic and equilibrium data from their investigations of enzyme activities, currently more than 55 international biochemistry journals already included the STRENDA Guidelines in their Instructions for Authors. The STRENDA Commission is continuously consulting the wider science community, reports the progress of its work and discusses new approaches regularly at the Beilstein Enzymology Symposia and in scientific journals.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11148},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11571},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11710},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11951}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Enzymology","Life Science"],"domains":["Michaelis constant","Inhibitory constant","Catalytic activity","Enzyme","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1107,"pubmed_id":20956966,"title":"A large-scale protein-function database","year":2010,"url":"http://doi.org/10.1038/nchembio.460","authors":"Apweiler R, Armstrong R, Bairoch A, Cornish-Bowden A, Halling PJ, Hofmeyr JH, Kettner C, Leyh TS, Rohwer J, Schomburg D, Steinbeck C, Tipton K.","journal":"Nat Chem Biol.","doi":"10.1038/nchembio.460.","created_at":"2021-09-30T08:24:22.656Z","updated_at":"2021-09-30T08:24:22.656Z"},{"id":1303,"pubmed_id":null,"title":"Standards for Reporting Enzyme Data: The STRENDA Consortium: What it aims to do and why it should be helpful","year":2014,"url":"http://doi.org/10.1016/j.pisc.2014.02.012","authors":"Keith F. Tipton, Richard N. Armstrong, Barbara M. Bakker, Amos Bairoch, Athel Cornish-Bowden, Peter J. Halling, Jan-Hendrik Hofmeyr, Thomas S. Leyh, Carsten Kettner, Frank M. Raushel, Johann Rohwer, Dietmar Schomburg, Christoph Steinbeck","journal":"Perspectives in Science","doi":"10.1016/j.pisc.2014.02.012","created_at":"2021-09-30T08:24:45.500Z","updated_at":"2021-09-30T08:24:45.500Z"},{"id":1990,"pubmed_id":15653320,"title":"The importance of uniformity in reporting protein-function data.","year":2005,"url":"http://doi.org/10.1016/j.tibs.2004.11.002","authors":"Apweiler R, Cornish-Bowden A, Hofmeyr JH, Kettner C, Leyh TS, Schomburg D, Tipton K","journal":"Trends Biochem Sci","doi":"10.1016/j.tibs.2004.11.002","created_at":"2021-09-30T08:26:04.009Z","updated_at":"2021-09-30T08:26:04.009Z"},{"id":2613,"pubmed_id":29498804,"title":"STRENDA DB: enabling the validation and sharing of enzyme kinetics data","year":1966,"url":"https://www.ncbi.nlm.nih.gov/pubmed/29498804","authors":"Swainston, N., et al.","journal":"The FEBS J.","doi":"10.1111/febs.14427","created_at":"2021-09-30T08:27:20.795Z","updated_at":"2021-09-30T08:27:20.795Z"},{"id":3452,"pubmed_id":30195215,"title":"An empirical analysis of enzyme function reporting for experimental reproducibility: Missing/incomplete information in published papers","year":2018,"url":"http://doi.org/10.1016/j.bpc.2018.08.004","authors":"Halling, P., Fitzpatrick, P.F., Raushel, F.M., Rohwer, J., Schnell, S., Wittig, U., Wohlgemuth, R., Kettner, C.","journal":"Biophys. Chem.","doi":"10.1016/j.bpc.2018.08.004","created_at":"2022-06-27T09:10:46.678Z","updated_at":"2022-06-27T09:10:46.678Z"}],"licence_links":[{"licence_name":"Beilstein Institute Privacy Policy","licence_id":66,"licence_url":"http://www.beilstein-institut.de/en/pricacy-policy","link_id":1845,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1846,"relation":"undefined"}],"grants":[{"id":7144,"fairsharing_record_id":1292,"organisation_id":2654,"relation":"maintains","created_at":"2021-09-30T09:28:27.375Z","updated_at":"2021-09-30T09:28:27.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":2654,"name":"STRENDA Commission","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7146,"fairsharing_record_id":1292,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:27.447Z","updated_at":"2021-09-30T09:28:27.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7145,"fairsharing_record_id":1292,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:27.413Z","updated_at":"2021-09-30T09:28:27.413Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWVU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--bfbeea52d2a379fa26f78155d792ed13f5c9b1e6/Logo_Beilstein_STRENDA_CMYK.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1293","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T20:01:28.000Z","updated_at":"2021-11-24T13:16:09.909Z","metadata":{"doi":"10.25504/FAIRsharing.c82136","name":"United States Geoscience Information Network Metadata Profile","status":"ready","contacts":[{"contact_name":"Stephen M. Richard","contact_email":"Steve.richard@usgin.org"}],"homepage":"http://usgin.github.io/usginspecs/USGIN_ISO_Metadata.htm","identifier":1293,"description":"The USGIN Metadata Profile describes recommended practices for using ISO19139 xml encoding of ISO 19115 and ISO 19119 metadata to describe a broad spectrum of geoscience resources. The document provides guidance for the population of ISO19139 encoded metadata documents to enable interoperability of catalog service clients with multiple servers conforming to this profile.","abbreviation":"USGIN Metadata Profile","support_links":[{"url":"metadata@usgin.org","name":"USGIN Metadata Team","type":"Support email"},{"url":"metadata@azgs.az.gov","name":"AZGS Metadata Team","type":"Support email"},{"url":"https://github.com/usgin/usginspecs","name":"GitHub Repository","type":"Github"}],"year_creation":2009},"legacy_ids":["bsg-001317","bsg-s001317"],"name":"FAIRsharing record for: United States Geoscience Information Network Metadata Profile","abbreviation":"USGIN Metadata Profile","url":"https://fairsharing.org/10.25504/FAIRsharing.c82136","doi":"10.25504/FAIRsharing.c82136","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The USGIN Metadata Profile describes recommended practices for using ISO19139 xml encoding of ISO 19115 and ISO 19119 metadata to describe a broad spectrum of geoscience resources. The document provides guidance for the population of ISO19139 encoded metadata documents to enable interoperability of catalog service clients with multiple servers conforming to this profile.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7149,"fairsharing_record_id":1293,"organisation_id":2954,"relation":"maintains","created_at":"2021-09-30T09:28:27.530Z","updated_at":"2021-09-30T09:28:27.530Z","grant_id":null,"is_lead":true,"saved_state":{"id":2954,"name":"United States Geoscience Information Network (USGIN),","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7147,"fairsharing_record_id":1293,"organisation_id":3171,"relation":"maintains","created_at":"2021-09-30T09:28:27.479Z","updated_at":"2021-09-30T09:28:27.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":3171,"name":"USGIN Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7148,"fairsharing_record_id":1293,"organisation_id":112,"relation":"maintains","created_at":"2021-09-30T09:28:27.503Z","updated_at":"2021-09-30T09:28:27.503Z","grant_id":null,"is_lead":false,"saved_state":{"id":112,"name":"Arizona Geological Survey (AZGS), University of Arizona, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1294","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:26:32.000Z","updated_at":"2023-06-02T15:09:34.281Z","metadata":{"doi":"10.25504/FAIRsharing.GOZFxU","name":"Signal theory and processing vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/SN8/en/","citations":[],"identifier":1294,"description":"Vocabulary used for indexing bibliographical records dealing with the field \"Signal theory and processing\" in the PASCAL database, until 2014. This resource contains 2483 entries in 3 languages (English, French, and Spanish), grouped in 84 collections.","abbreviation":null,"year_creation":2018},"legacy_ids":["bsg-001414","bsg-s001414"],"name":"FAIRsharing record for: Signal theory and processing vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.GOZFxU","doi":"10.25504/FAIRsharing.GOZFxU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Vocabulary used for indexing bibliographical records dealing with the field \"Signal theory and processing\" in the PASCAL database, until 2014. This resource contains 2483 entries in 3 languages (English, French, and Spanish), grouped in 84 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11301}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Signal processing","Signal theory"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":595,"relation":"undefined"}],"grants":[{"id":7150,"fairsharing_record_id":1294,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:27.563Z","updated_at":"2021-09-30T09:28:27.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7151,"fairsharing_record_id":1294,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:27.610Z","updated_at":"2021-09-30T09:28:27.610Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1282","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-27T12:56:27.191Z","metadata":{"doi":"10.25504/FAIRsharing.h6c48k","name":"KEGG Mark-up Language","status":"ready","contacts":[{"contact_name":"Clemens Wrzodek","contact_email":"clemens.wrzodek@uni-tuebingen.de"}],"homepage":"http://www.genome.jp/kegg/xml/","citations":[],"identifier":1282,"description":"The KEGG Markup Language (KGML) is an exchange format of the KEGG pathway maps, which is converted from internally used KGML+ (KGML+SVG) format. KGML enables automatic drawing of KEGG pathways and provides facilities for computational analysis and modeling of gene/protein networks and chemical networks.","abbreviation":"KGML","support_links":[{"url":"http://www.genome.jp/feedback/","type":"Contact form"}]},"legacy_ids":["bsg-000282","bsg-s000282"],"name":"FAIRsharing record for: KEGG Mark-up Language","abbreviation":"KGML","url":"https://fairsharing.org/10.25504/FAIRsharing.h6c48k","doi":"10.25504/FAIRsharing.h6c48k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The KEGG Markup Language (KGML) is an exchange format of the KEGG pathway maps, which is converted from internally used KGML+ (KGML+SVG) format. KGML enables automatic drawing of KEGG pathways and provides facilities for computational analysis and modeling of gene/protein networks and chemical networks.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11180},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12081},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16938}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Japan"],"publications":[{"id":1828,"pubmed_id":21700675,"title":"KEGGtranslator: visualizing and converting the KEGG PATHWAY database to various formats.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr377","authors":"Wrzodek C,Drager A,Zell A","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr377","created_at":"2021-09-30T08:25:45.330Z","updated_at":"2021-09-30T08:25:45.330Z"}],"licence_links":[],"grants":[{"id":7131,"fairsharing_record_id":1282,"organisation_id":1621,"relation":"maintains","created_at":"2021-09-30T09:28:26.835Z","updated_at":"2021-09-30T09:28:26.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":1621,"name":"Kanehisa Laboratories, Kyoto, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1283","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:55.135Z","metadata":{"doi":"10.25504/FAIRsharing.pa6njw","name":"Student Health Record","status":"deprecated","contacts":[{"contact_name":"Hassan Shojaee","contact_email":"shojaee@gmu.ac.ir"}],"homepage":"http://bioportal.bioontology.org/ontologies/1665","identifier":1283,"description":"The goal of the SHR project is to develop an ontology for the description of student health records. Student health records are created for entering college students in order to provide better health services will be formed. This file contains various sections such as history of disease, family history of disease and public examinations.","abbreviation":"SHR","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SHR","name":"SHR","portal":"BioPortal"}],"deprecation_date":"2016-05-03","deprecation_reason":"This resource is inactive, and current information cannot be retrieved."},"legacy_ids":["bsg-002752","bsg-s002752"],"name":"FAIRsharing record for: Student Health Record","abbreviation":"SHR","url":"https://fairsharing.org/10.25504/FAIRsharing.pa6njw","doi":"10.25504/FAIRsharing.pa6njw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the SHR project is to develop an ontology for the description of student health records. Student health records are created for entering college students in order to provide better health services will be formed. This file contains various sections such as history of disease, family history of disease and public examinations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Iran"],"publications":[{"id":1782,"pubmed_id":null,"title":"Ontology for Student Health Record","year":2014,"url":"https://www.researchgate.net/publication/308113683_Ontology_for_Student_Health_Record","authors":"Shojaee-Mend H and Ghayour-Razmgah G","journal":"Academy of Business and Scientific Research","doi":null,"created_at":"2021-09-30T08:25:39.996Z","updated_at":"2021-09-30T11:28:33.277Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1284","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-23T17:46:35.654Z","metadata":{"doi":"10.25504/FAIRsharing.2yv5sa","name":"Clustered Data Table Format","status":"ready","contacts":[],"homepage":"https://puma.princeton.edu/help/formats.shtml#cdt","citations":[],"identifier":1284,"description":"This is a data table format used in the PUMAdb workflow to transform a .pcl file into a .cdt (clustered data table) file which contains the original data, but reordered, to reflect the clustering.","abbreviation":null,"support_links":[{"url":"array@princeton.edu","type":"Support email"},{"url":"https://puma.princeton.edu/index.shtml","name":"About PUMAdb","type":"Other"}],"year_creation":2004},"legacy_ids":["bsg-000244","bsg-s000244"],"name":"FAIRsharing record for: Clustered Data Table Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2yv5sa","doi":"10.25504/FAIRsharing.2yv5sa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a data table format used in the PUMAdb workflow to transform a .pcl file into a .cdt (clustered data table) file which contains the original data, but reordered, to reflect the clustering.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Clustering","Gene"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"PUMAdb Privacy Policy","licence_id":690,"licence_url":"https://puma.princeton.edu/privacy.shtml","link_id":3103,"relation":"applies_to_content"}],"grants":[{"id":7133,"fairsharing_record_id":1284,"organisation_id":2357,"relation":"maintains","created_at":"2021-09-30T09:28:26.899Z","updated_at":"2023-02-23T15:54:03.539Z","grant_id":null,"is_lead":true,"saved_state":{"id":2357,"name":"Princeton University, NJ, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1285","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.292Z","metadata":{"doi":"10.25504/FAIRsharing.ct3xa3","name":"Plant Structure Development Stage","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"po-discuss@plantontology.org"}],"homepage":"http://browser.planteome.org/amigo/term/PO:0009012#display-lineage-tab","identifier":1285,"description":"A controlled vocabulary of growth and developmental stages in various plants. Note that this has been subsumed into the Plant Ontology (PO).","abbreviation":"PO PSDS","support_links":[{"url":"http://planteome.org/contact","type":"Mailing list"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PSDS","name":"PSDS","portal":"BioPortal"}],"deprecation_date":"2015-12-23","deprecation_reason":"REPLACED BY: Plant Ontology (PO). A controlled vocabulary of growth and developmental stages in various plants. This standard has been subsumed into the Plant Ontology (PO) - http://www.plantontology.org - https://biosharing.org/bsg-000633."},"legacy_ids":["bsg-002604","bsg-s002604"],"name":"FAIRsharing record for: Plant Structure Development Stage","abbreviation":"PO PSDS","url":"https://fairsharing.org/10.25504/FAIRsharing.ct3xa3","doi":"10.25504/FAIRsharing.ct3xa3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary of growth and developmental stages in various plants. Note that this has been subsumed into the Plant Ontology (PO).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Structure","Life cycle","Life cycle stage"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1809,"pubmed_id":18194960,"title":"The Plant Ontology Database: a community resource for plant structure and developmental stages controlled vocabulary and annotations.","year":2008,"url":"http://doi.org/10.1093/nar/gkm908","authors":"Avraham S,Tung CW,Ilic K,Jaiswal P,Kellogg EA,McCouch S,Pujar A,Reiser L,Rhee SY,Sachs MM,Schaeffer M,Stein L,Stevens P,Vincent L,Zapata F,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm908","created_at":"2021-09-30T08:25:43.061Z","updated_at":"2021-09-30T11:29:21.185Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1616,"relation":"undefined"},{"licence_name":"Planteome Disclaimer","licence_id":671,"licence_url":"http://planteome.org/disclaimer","link_id":1615,"relation":"undefined"}],"grants":[{"id":7135,"fairsharing_record_id":1285,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:26.971Z","updated_at":"2021-09-30T09:28:26.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7134,"fairsharing_record_id":1285,"organisation_id":2336,"relation":"maintains","created_at":"2021-09-30T09:28:26.939Z","updated_at":"2021-09-30T09:28:26.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2336,"name":"PO Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1277","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T10:07:03.000Z","updated_at":"2022-07-19T16:58:55.120Z","metadata":{"doi":"10.25504/FAIRsharing.b5cc91","name":"Extensible Markup Language","status":"ready","contacts":[{"contact_name":"Tim Bray","contact_email":"tbray@textuality.com"}],"homepage":"https://www.w3.org/TR/xml/","citations":[],"identifier":1277,"description":"The Extensible Markup Language (XML) describes a class of data objects called XML documents and partially describes the behavior of computer programs which process them. XML is an application profile or restricted form of SGML, the Standard Generalized Markup Language [ISO 8879]. By construction, XML documents are conforming SGML documents. XML documents are made up of storage units called entities, which contain either parsed or unparsed data. Parsed data is made up of characters, some of which form character data, and some of which form markup. Markup encodes a description of the document's storage layout and logical structure. XML provides a mechanism to impose constraints on the storage layout and logical structure.","abbreviation":"XML","support_links":[{"url":"xml-editor@w3.org","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/XML","name":"XML - Wikipedia","type":"Wikipedia"}],"year_creation":2008},"legacy_ids":["bsg-001143","bsg-s001143"],"name":"FAIRsharing record for: Extensible Markup Language","abbreviation":"XML","url":"https://fairsharing.org/10.25504/FAIRsharing.b5cc91","doi":"10.25504/FAIRsharing.b5cc91","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Extensible Markup Language (XML) describes a class of data objects called XML documents and partially describes the behavior of computer programs which process them. XML is an application profile or restricted form of SGML, the Standard Generalized Markup Language [ISO 8879]. By construction, XML documents are conforming SGML documents. XML documents are made up of storage units called entities, which contain either parsed or unparsed data. Parsed data is made up of characters, some of which form character data, and some of which form markup. Markup encodes a description of the document's storage layout and logical structure. XML provides a mechanism to impose constraints on the storage layout and logical structure.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18267},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12124}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Structured data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1473,"relation":"undefined"}],"grants":[{"id":7124,"fairsharing_record_id":1277,"organisation_id":3211,"relation":"maintains","created_at":"2021-09-30T09:28:26.641Z","updated_at":"2021-09-30T09:28:26.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":3211,"name":"W3C XML Core Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1278","type":"fairsharing_records","attributes":{"created_at":"2018-02-09T14:13:16.000Z","updated_at":"2022-07-20T10:42:13.824Z","metadata":{"doi":"10.25504/FAIRsharing.ae8hpt","name":"Descriptive Ontology for Linguistic and Cognitive Engineering","status":"ready","contacts":[{"contact_email":"nicola.guarino@loa.istc.cnr.it"}],"homepage":"http://www.loa.istc.cnr.it/dolce/overview.html","citations":[],"identifier":1278,"description":"DOLCE (Descriptive Ontology for Linguistic and Cognitive Engineering) is a foundational ontology developed as part of the WonderWeb Foundational Ontologies Library (WFOL). The development of this library has been guided by the need of a reliable set of foundational ontologies that can serve as 1) astarting point for building other ontologies, 2) a reference point for easy and rigorous comparisons among different ontological approaches, and 3) a rigorous basis for analyzing, harmonizing and integrating existing ontologies and metadata standards (by manually mapping them into some general module(s) in the library). DOLCE is the first module of WFOL and it is not a candidate for a universal standard ontology. Rather, it is intended as a starting point for comparing and elucidating the relationships with the other modules of the library, and also for clarifying the hidden assumptions underlying existing ontologies or linguistic resources such as WordNet. As reflected by its acronym, DOLCE has a clear cognitive bias, in the sense that it aims at capturing the ontological categories underlying natural language and human commonsense. DOLCE is an ontology that focuses on particulars in the sense that its domain of discourse is restricted to them. The project is complete, though the ontology remains available for use.","abbreviation":"DOLCE","support_links":[{"url":"https://cordis.europa.eu/result/rcn/41438_en.html","name":"WONDERWEB Report Summary: DOLCE","type":"Help documentation"},{"url":"http://wonderweb.man.ac.uk/deliverables/documents/D18.pdf","name":"WonderWeb Deliverable D18 Ontology Library (final)","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-001128","bsg-s001128"],"name":"FAIRsharing record for: Descriptive Ontology for Linguistic and Cognitive Engineering","abbreviation":"DOLCE","url":"https://fairsharing.org/10.25504/FAIRsharing.ae8hpt","doi":"10.25504/FAIRsharing.ae8hpt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DOLCE (Descriptive Ontology for Linguistic and Cognitive Engineering) is a foundational ontology developed as part of the WonderWeb Foundational Ontologies Library (WFOL). The development of this library has been guided by the need of a reliable set of foundational ontologies that can serve as 1) astarting point for building other ontologies, 2) a reference point for easy and rigorous comparisons among different ontological approaches, and 3) a rigorous basis for analyzing, harmonizing and integrating existing ontologies and metadata standards (by manually mapping them into some general module(s) in the library). DOLCE is the first module of WFOL and it is not a candidate for a universal standard ontology. Rather, it is intended as a starting point for comparing and elucidating the relationships with the other modules of the library, and also for clarifying the hidden assumptions underlying existing ontologies or linguistic resources such as WordNet. As reflected by its acronym, DOLCE has a clear cognitive bias, in the sense that it aims at capturing the ontological categories underlying natural language and human commonsense. DOLCE is an ontology that focuses on particulars in the sense that its domain of discourse is restricted to them. The project is complete, though the ontology remains available for use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Computer Science","Subject Agnostic","Linguistics"],"domains":["Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[],"licence_links":[],"grants":[{"id":7126,"fairsharing_record_id":1278,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:26.712Z","updated_at":"2021-09-30T09:32:26.920Z","grant_id":1624,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP5-IST","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7125,"fairsharing_record_id":1278,"organisation_id":1667,"relation":"maintains","created_at":"2021-09-30T09:28:26.680Z","updated_at":"2022-02-09T11:29:04.273Z","grant_id":null,"is_lead":true,"saved_state":{"id":1667,"name":"Laboratory for Applied Ontology, CNR, Italy","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1279","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:35:08.767Z","metadata":{"doi":"10.25504/FAIRsharing.8z3xzh","name":"Minimum Information about a Molecular Interaction Experiment","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"psi-mi@ebi.ac.uk"}],"homepage":"https://www.psidev.info/mimix","citations":[{"doi":"10.1038/nbt1324","pubmed_id":17687370,"publication_id":2402}],"identifier":1279,"description":"MIMIx is a community guideline advising the user on how to fully describe a molecular interaction experiment and which information it is important to capture. The document is designed as a compromise between the necessary depth of information to describe all relevant aspects of the interaction experiment, and the reporting burden placed on the scientist generating the data.","abbreviation":"MIMIx","support_links":[{"url":"http://www.psidev.info/groups/molecular-interactions/documents","name":"HUPO-PSI related documents","type":"Help documentation"}],"year_creation":2007,"associated_tools":[{"url":"https://www.ebi.ac.uk/intact/validator/start.xhtml","name":"PSI-MI Validator"},{"url":"https://github.com/PSICQUIC","name":"PSICQUIC"}]},"legacy_ids":["bsg-000179","bsg-s000179"],"name":"FAIRsharing record for: Minimum Information about a Molecular Interaction Experiment","abbreviation":"MIMIx","url":"https://fairsharing.org/10.25504/FAIRsharing.8z3xzh","doi":"10.25504/FAIRsharing.8z3xzh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIMIx is a community guideline advising the user on how to fully describe a molecular interaction experiment and which information it is important to capture. The document is designed as a compromise between the necessary depth of information to describe all relevant aspects of the interaction experiment, and the reporting burden placed on the scientist generating the data.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11161},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11436},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11593},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11717}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Proteomics","Life Science"],"domains":["Deoxyribonucleic acid","Lipid","Chemical entity","Interactome","Molecular interaction","Assay","Protein"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["Austria","Canada","France","Germany","Italy","Singapore","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":2402,"pubmed_id":17687370,"title":"The minimum information required for reporting a molecular interaction experiment (MIMIx).","year":2007,"url":"http://doi.org/10.1038/nbt1324","authors":"Orchard S,Salwinski L,Kerrien S et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt1324","created_at":"2021-09-30T08:26:54.868Z","updated_at":"2021-09-30T08:26:54.868Z"}],"licence_links":[],"grants":[{"id":7127,"fairsharing_record_id":1279,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:26.735Z","updated_at":"2021-09-30T09:28:26.735Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7128,"fairsharing_record_id":1279,"organisation_id":1076,"relation":"maintains","created_at":"2021-09-30T09:28:26.761Z","updated_at":"2021-09-30T09:28:26.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":1076,"name":"Functional Genomics Group, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1286","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:50:48.986Z","metadata":{"doi":"10.25504/FAIRsharing.dpkb5f","name":"Semanticscience Integrated Ontology","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com","contact_orcid":"0000-0003-4727-9435"}],"homepage":"https://github.com/MaastrichtU-IDS/semanticscience","citations":[{"doi":"10.1186/2041-1480-5-14","pubmed_id":24602174,"publication_id":1151}],"identifier":1286,"description":"The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. It provides vocabulary for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects.","abbreviation":"SIO","support_links":[{"url":"https://github.com/MaastrichtU-IDS/semanticscience/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SIO","name":"SIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002686","bsg-s002686"],"name":"FAIRsharing record for: Semanticscience Integrated Ontology","abbreviation":"SIO","url":"https://fairsharing.org/10.25504/FAIRsharing.dpkb5f","doi":"10.25504/FAIRsharing.dpkb5f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. It provides vocabulary for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11194},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16988}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science","Subject Agnostic"],"domains":["Knowledge representation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Japan","United States","European Union"],"publications":[{"id":1151,"pubmed_id":24602174,"title":"The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-14","authors":"Dumontier M, Baker CJ, Baran J, Callahan A, Chepelev L, Cruz-Toledo J, Del Rio NR, Duck G, Furlong LI, Keath N, Klassen D, McCusker JP, Queralt-Rosinach N, Samwald M, Villanueva-Rosales N, Wilkinson MD, Hoehndorf R.","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-14","created_at":"2021-09-30T08:24:27.966Z","updated_at":"2021-09-30T08:24:27.966Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1745,"relation":"undefined"}],"grants":[{"id":7136,"fairsharing_record_id":1286,"organisation_id":674,"relation":"maintains","created_at":"2021-09-30T09:28:27.008Z","updated_at":"2021-09-30T09:28:27.008Z","grant_id":null,"is_lead":false,"saved_state":{"id":674,"name":"Department of Biology, Carleton University, Ottawa, ON, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7137,"fairsharing_record_id":1286,"organisation_id":1739,"relation":"maintains","created_at":"2021-09-30T09:28:27.050Z","updated_at":"2021-09-30T09:28:27.050Z","grant_id":null,"is_lead":true,"saved_state":{"id":1739,"name":"Maastricht University (UM), Maastricht, The Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1390","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:01:28.560Z","metadata":{"doi":"10.25504/FAIRsharing.n7src9","name":"Minimum Information Required for A Glycomics Experiment - Mass Spectrometric Analysis","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/mirage/guidelines#mass_spectrometric_analysis","citations":[],"identifier":1390,"description":"MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. Researchers seeking to understand the biochemical structure–function relationships of carbohydrates require detailed descriptions of the assay conditions and the experimental results. Currently, these data are insufficiently reported in the literature. A basic description on the sample preparation workflow is required. In contrast to proteomics, different types of glycoconjugates require partially different release approaches, which in turn can have direct influence on the following conditions/parameters: released glycans or still attached to protein/lipid; type of glycan (N-glycan, O-glycan, proteoglycan fragment); and sample pre-treatment prior MS-Analyses (non, reduced, permethylated, endo/exoglycosidase digested, fluorescent label, online/offline LC-separation).","abbreviation":"MIRAGE MS","year_creation":2013},"legacy_ids":["bsg-000523","bsg-s000523"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Mass Spectrometric Analysis","abbreviation":"MIRAGE MS","url":"https://fairsharing.org/10.25504/FAIRsharing.n7src9","doi":"10.25504/FAIRsharing.n7src9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. Researchers seeking to understand the biochemical structure–function relationships of carbohydrates require detailed descriptions of the assay conditions and the experimental results. Currently, these data are insufficiently reported in the literature. A basic description on the sample preparation workflow is required. In contrast to proteomics, different types of glycoconjugates require partially different release approaches, which in turn can have direct influence on the following conditions/parameters: released glycans or still attached to protein/lipid; type of glycan (N-glycan, O-glycan, proteoglycan fragment); and sample pre-treatment prior MS-Analyses (non, reduced, permethylated, endo/exoglycosidase digested, fluorescent label, online/offline LC-separation).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12033}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Glycomics"],"domains":["Mass spectrum","Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","United Kingdom","United States"],"publications":[{"id":682,"pubmed_id":24653214,"title":"MIRAGE: The minimum information required for a glycomics experiment","year":2014,"url":"http://doi.org/10.1093/glycob/cwu018","authors":"York WS, Agravat S, Aoki-Kinoshita KF et al.","journal":"Glycobiology","doi":"10.1093/glycob/cwu018","created_at":"2021-09-30T08:23:35.195Z","updated_at":"2021-09-30T08:23:35.195Z"},{"id":2861,"pubmed_id":27654115,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: sample preparation guidelines for reliable reporting of glycomics datasets.","year":2016,"url":"http://doi.org/10.1093/glycob/cww082","authors":"Struwe WB,Agravat S,Aoki-Kinoshita KF,Campbell MP,Costello CE,Dell A,Ten Feizi,Haslam SM,Karlsson NG,Khoo KH,Kolarich D,Liu Y,McBride R,Novotny MV,Packer NH,Paulson JC,Rapp E,Ranzinger R,Rudd PM,Smith DF,Tiemeyer M,Wells L,York WS,Zaia J,Kettner C","journal":"Glycobiology","doi":"10.1093/glycob/cww082.","created_at":"2021-09-30T08:27:52.015Z","updated_at":"2021-09-30T08:27:52.015Z"},{"id":2868,"pubmed_id":23378518,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting mass-spectrometry-based glycoanalytic data","year":2013,"url":"http://doi.org/10.1074/mcp.O112.026492","authors":"Kolarich D, Rapp E, Struwe WB, Haslam SM, Zaia J, McBride R, Agravat S, Campbell MP, Kato M, Ranzinger R, Kettner C, York WS","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O112.026492","created_at":"2021-09-30T08:27:53.032Z","updated_at":"2021-09-30T08:27:53.032Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1327,"relation":"undefined"}],"grants":[{"id":7360,"fairsharing_record_id":1390,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:34.925Z","updated_at":"2021-09-30T09:28:34.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7357,"fairsharing_record_id":1390,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:34.845Z","updated_at":"2021-09-30T09:28:34.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7358,"fairsharing_record_id":1390,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:34.869Z","updated_at":"2021-09-30T09:28:34.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7361,"fairsharing_record_id":1390,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:34.963Z","updated_at":"2021-09-30T09:28:34.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7359,"fairsharing_record_id":1390,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:34.894Z","updated_at":"2021-09-30T09:28:53.816Z","grant_id":5,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","grant":"MIRAGE","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWU09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8df5a63d3423510fe1de540af356a00b0c6a87b0/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1391","type":"fairsharing_records","attributes":{"created_at":"2020-05-11T07:14:45.000Z","updated_at":"2022-07-20T12:31:09.423Z","metadata":{"doi":"10.25504/FAIRsharing.grL0zu","name":"ObjTables Schemas","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"https://www.objtables.org/docs#schema-formats","identifier":1391,"description":"ObjTables Schemas allow the creation of re-usable datasets that are both human and machine-readable, combining the ease of spreadsheets (e.g., Excel workbooks) with the rigour of schemas (classes, their attributes, the type of each attribute, and the possible relationships between instances of classes). ObjTables schemas can either be defined with a tabular format or with the ObjTables Python package. The tabular format is easy to use, and requires no programming. The tabular format supports most of the features of ObjTables, including a wide range of data types, relationships, transposed and embedded tables, single inheritance, and basic validation. The ObjTables Python package is more flexible. ObjTables is ideal for supplementary materials of journal article, as well as for emerging domains which need to quickly build new formats for new types of data and associated software with minimal effort.","abbreviation":"ObjTables Schemas","support_links":[{"url":"https://www.objtables.org/docs","name":"Examples and documentation","type":"Help documentation"},{"url":"https://docs.karrlab.org/obj_tables","name":"Documentation for the Python package","type":"Help documentation"},{"url":"https://sandbox.karrlab.org/tree/obj_tables","name":"Tutorials for the Python package","type":"Training documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://pypi.org/project/obj-tables/","name":"ObjTables command-line program and Python package 1.0.0"},{"url":"https://www.objtables.org/app","name":"ObjTables web application 1.0.0"}]},"legacy_ids":["bsg-001476","bsg-s001476"],"name":"FAIRsharing record for: ObjTables Schemas","abbreviation":"ObjTables Schemas","url":"https://fairsharing.org/10.25504/FAIRsharing.grL0zu","doi":"10.25504/FAIRsharing.grL0zu","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ObjTables Schemas allow the creation of re-usable datasets that are both human and machine-readable, combining the ease of spreadsheets (e.g., Excel workbooks) with the rigour of schemas (classes, their attributes, the type of each attribute, and the possible relationships between instances of classes). ObjTables schemas can either be defined with a tabular format or with the ObjTables Python package. The tabular format is easy to use, and requires no programming. The tabular format supports most of the features of ObjTables, including a wide range of data types, relationships, transposed and embedded tables, single inheritance, and basic validation. The ObjTables Python package is more flexible. ObjTables is ideal for supplementary materials of journal article, as well as for emerging domains which need to quickly build new formats for new types of data and associated software with minimal effort.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Quality","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["object-relational mapping","Structured data"],"countries":["France","Germany","United States"],"publications":[],"licence_links":[{"licence_name":"ObjTables MIT License","licence_id":607,"licence_url":"https://github.com/KarrLab/obj_tables/blob/master/LICENSE","link_id":1375,"relation":"undefined"}],"grants":[{"id":7365,"fairsharing_record_id":1391,"organisation_id":1627,"relation":"maintains","created_at":"2021-09-30T09:28:35.117Z","updated_at":"2021-09-30T09:28:35.117Z","grant_id":null,"is_lead":true,"saved_state":{"id":1627,"name":"Karr Lab, Institute for Multiscale Biology \u0026 Genomics, New York, NY, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":7362,"fairsharing_record_id":1391,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:34.996Z","updated_at":"2021-09-30T09:30:10.571Z","grant_id":585,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R35GM119771","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7364,"fairsharing_record_id":1391,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:35.076Z","updated_at":"2021-09-30T09:31:40.284Z","grant_id":1276,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1649014","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7363,"fairsharing_record_id":1391,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:28:35.034Z","updated_at":"2021-09-30T09:32:45.208Z","grant_id":1762,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41EB023912","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1392","type":"fairsharing_records","attributes":{"created_at":"2020-01-27T14:24:09.000Z","updated_at":"2022-07-20T12:19:06.938Z","metadata":{"doi":"10.25504/FAIRsharing.k7NfCn","name":"Wheat Trait Ontology","status":"ready","contacts":[{"contact_name":"Claire Nedellec","contact_email":"claire.nedellec@inrae.fr","contact_orcid":"0000-0002-0577-0595"}],"homepage":"https://doi.org/10.15454/1.4382637738008071E12","citations":[{"doi":"https://doi.org/10.5808/GI.2020.18.2.e14","publication_id":3005}],"identifier":1392,"description":"Wheat Trait Ontology is an ontology of wheat traits and environmental factors that affect these traits. They include resistance to disease, development, nutrition, bread quality, etc. Environmental factors include biotic and abiotic factors. An alternative title is the Wheat Phenotype Ontology.","abbreviation":"WTO","year_creation":2011},"legacy_ids":["bsg-001439","bsg-s001439"],"name":"FAIRsharing record for: Wheat Trait Ontology","abbreviation":"WTO","url":"https://fairsharing.org/10.25504/FAIRsharing.k7NfCn","doi":"10.25504/FAIRsharing.k7NfCn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Wheat Trait Ontology is an ontology of wheat traits and environmental factors that affect these traits. They include resistance to disease, development, nutrition, bread quality, etc. Environmental factors include biotic and abiotic factors. An alternative title is the Wheat Phenotype Ontology.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16731}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Plant Nutrition","Plant Breeding","Food Process Engineering","Agriculture"],"domains":["Food","Disease","Plant development stage"],"taxonomies":["Triticum aestivum"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3003,"pubmed_id":null,"title":"Information Extraction from Bibliography for Marker-Assisted Selection in Wheat","year":2014,"url":"https://doi.org/10.1007/978-3-319-13674-5_28","authors":"Claire Nédellec,Robert Bossy,Dialekti Valsamou,Marion Ranoux,Wiktoria Golik,Pierre Sourdille","journal":"Closs S., Studer R., Garoufallou E., Sicilia MA. (eds) Metadata and Semantics Research. MTSR 2014. Communications in Computer and Information Science, vol 478. Springer, Cham","doi":null,"created_at":"2021-09-30T08:28:10.240Z","updated_at":"2021-09-30T08:28:10.240Z"},{"id":3005,"pubmed_id":null,"title":"WTO, an ontology for wheat traits and phenotypes in scientific publications","year":2020,"url":"http://doi.org/https://doi.org/10.5808/GI.2020.18.2.e14","authors":"Claire Nédellec, Liliana Ibanescu, Robert Bossy, Pierre Sourdille","journal":"Genomics \u0026 Informatics","doi":"https://doi.org/10.5808/GI.2020.18.2.e14","created_at":"2021-09-30T08:28:10.516Z","updated_at":"2021-09-30T08:28:10.516Z"}],"licence_links":[{"licence_name":"Licence Ouverte / Open Licence Version 2.0 compatible CC BY 4.0","licence_id":488,"licence_url":"https://www.etalab.gouv.fr/licence-ouverte-open-licence","link_id":1981,"relation":"undefined"}],"grants":[{"id":7366,"fairsharing_record_id":1392,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:35.155Z","updated_at":"2021-09-30T09:28:35.155Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1393","type":"fairsharing_records","attributes":{"created_at":"2020-12-14T10:47:43.000Z","updated_at":"2022-07-20T10:05:06.757Z","metadata":{"doi":"10.25504/FAIRsharing.81dc5f","name":"UNESCO Thesaurus","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"vocabularies@unesco.org"}],"homepage":"http://vocabularies.unesco.org","citations":[],"identifier":1393,"description":"The UNESCO Thesaurus is a controlled and structured list of concepts used in subject analysis and retrieval of documents and publications in the fields of education, culture, natural sciences, social and human sciences, communication and information. Continuously enriched and updated, its multidisciplinary terminology reflects the evolution of UNESCO's programmes and activities. It is available in English, French, Spanish, Russian, and Arabic.","abbreviation":"UNESCO Thesaurus","support_links":[{"url":"https://lists.unesco.org/wws/subscribe/thesaurus-users","name":"Mailing List","type":"Mailing list"},{"url":"http://vocabularies.unesco.org/browser/en/about","name":"About","type":"Help documentation"},{"url":"http://vocabularies.unesco.org/documents/thesaurusintroeng.pdf","name":"Introduction to the UNESCO Thesaurus","type":"Help documentation"}],"year_creation":1977},"legacy_ids":["bsg-001565","bsg-s001565"],"name":"FAIRsharing record for: UNESCO Thesaurus","abbreviation":"UNESCO Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.81dc5f","doi":"10.25504/FAIRsharing.81dc5f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UNESCO Thesaurus is a controlled and structured list of concepts used in subject analysis and retrieval of documents and publications in the fields of education, culture, natural sciences, social and human sciences, communication and information. Continuously enriched and updated, its multidisciplinary terminology reflects the evolution of UNESCO's programmes and activities. It is available in English, French, Spanish, Russian, and Arabic.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Education Science","Subject Agnostic","Political Science","Communication Science"],"domains":["Report","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 IGO (CC BY-SA 3.0 IGO)","licence_id":192,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/igo/","link_id":2239,"relation":"undefined"}],"grants":[{"id":7367,"fairsharing_record_id":1393,"organisation_id":2925,"relation":"maintains","created_at":"2021-09-30T09:28:35.192Z","updated_at":"2021-09-30T09:28:35.192Z","grant_id":null,"is_lead":true,"saved_state":{"id":2925,"name":"United Nations Education, Scientific and Cultural Organization (UNESCO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1394","type":"fairsharing_records","attributes":{"created_at":"2020-06-12T13:01:10.000Z","updated_at":"2021-11-24T13:15:41.572Z","metadata":{"name":"Marinet2 metadata schema","status":"in_development","contacts":[{"contact_name":"Nikola Vasiljevic","contact_email":"niva@dtu.dk","contact_orcid":"0000-0002-9381-9693"}],"homepage":"https://github.com/Marinet2/metadata-schema","identifier":1394,"description":"Marinet2 metadata schema for data streams (i.e., variables) and datasets (collection of data streams) for preparing datasets in NetCDF format for publishing and preservation.","abbreviation":null,"support_links":[{"url":"https://github.com/Marinet2/metadata-schema","name":"Issue posting","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001497","bsg-s001497"],"name":"FAIRsharing record for: Marinet2 metadata schema","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/1394","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Marinet2 metadata schema for data streams (i.e., variables) and datasets (collection of data streams) for preparing datasets in NetCDF format for publishing and preservation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Maritime Engineering","Energy Engineering","Electrical Engineering","Earth Science","Atmospheric Science"],"domains":["Marine environment"],"taxonomies":[],"user_defined_tags":["wind energy"],"countries":["Denmark","France","Spain"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1867,"relation":"undefined"}],"grants":[{"id":7368,"fairsharing_record_id":1394,"organisation_id":1765,"relation":"maintains","created_at":"2021-09-30T09:28:35.234Z","updated_at":"2021-09-30T09:28:35.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":1765,"name":"Marinet2","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7369,"fairsharing_record_id":1394,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:35.273Z","updated_at":"2021-09-30T09:31:55.636Z","grant_id":1390,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"731084","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1363","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:35:32.174Z","metadata":{"doi":"10.25504/FAIRsharing.es03fk","name":"Nuclear Magnetic Resonance Markup Language","status":"ready","contacts":[{"contact_name":"Daniel Schober","contact_email":"info@nmrml.org","contact_orcid":"0000-0001-8014-6648"}],"homepage":"http://nmrml.org","citations":[],"identifier":1363,"description":"nmrML is an open markup language for NMR raw and spectral data. It is has recently seen its first proper release, ready for public use. The primary development of this standard, initiated by the Coordination of Standards in Metabolomics’ (COSMOS) project, is now maintained within the PhenoMeNal Eu project tasked to disseminate metabolomics data through life science e-infrastructures. The nmrML data standard is approved by the Metabolomics Standards Initiative (MSI) and was derived from an earlier nmrML that was developed by the Metabolomics Innovation Centre (TMIC). It follows design principles of its role model, the mzML data standard created by PSI for mass spectrometry.","abbreviation":"NMR-ML","support_links":[{"url":"https://groups.google.com/forum/?hl=en#!forum/nmrml/join","name":"nmrML Google Group","type":"Forum"},{"url":"https://github.com/nmrML/nmrML","name":"nmrML on GitHub","type":"Github"},{"url":"https://github.com/nmrML/nmrML/wiki","name":"nmrML Wiki","type":"Github"},{"url":"http://nmrml.org/examples/","name":"nmrML Examples","type":"Help documentation"},{"url":"http://nmrml.org/tutorials/","name":"nmrML Tutorials","type":"Training documentation"},{"url":"https://github.com/organizations/nmrML","name":"nmrML Development News Feed","type":"Blog/News"}],"year_creation":2015,"associated_tools":[{"url":"http://nmrml.org/converter/","name":"Converter"},{"url":"http://nmrml.org/validator/","name":"Validator"},{"url":"https://github.com/ISA-tools/nmrml2isa","name":"nmrML2Isa"},{"url":"https://www.nmrprocflow.org/","name":"nmrProcFlow"}]},"legacy_ids":["bsg-000563","bsg-s000563"],"name":"FAIRsharing record for: Nuclear Magnetic Resonance Markup Language","abbreviation":"NMR-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.es03fk","doi":"10.25504/FAIRsharing.es03fk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: nmrML is an open markup language for NMR raw and spectral data. It is has recently seen its first proper release, ready for public use. The primary development of this standard, initiated by the Coordination of Standards in Metabolomics’ (COSMOS) project, is now maintained within the PhenoMeNal Eu project tasked to disseminate metabolomics data through life science e-infrastructures. The nmrML data standard is approved by the Metabolomics Standards Initiative (MSI) and was derived from an earlier nmrML that was developed by the Metabolomics Innovation Centre (TMIC). It follows design principles of its role model, the mzML data standard created by PSI for mass spectrometry.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10916},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11036},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11286},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11729}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Metabolomics","Analytical Chemistry","Omics"],"domains":["Chemical structure","Analysis","Bioimaging","Chemical entity","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Omics data analysis","Small molecule"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France","Germany","Italy","Japan","Netherlands","United Kingdom"],"publications":[{"id":1991,"pubmed_id":29035042,"title":"nmrML: A Community Supported Open Data Standard for the Description, Storage, and Exchange of NMR Data.","year":2017,"url":"http://doi.org/10.1021/acs.analchem.7b02795","authors":"Schober D1, Jacob D2, Wilson M3, Cruz JA3, Marcu A3, Grant JR3, Moing A2, Deborde C2, de Figueiredo LF4, Haug K4, Rocca-Serra P5, Easton J6, Ebbels TMD7, Hao J7, Ludwig C8, Günther UL9, Rosato A10, Klein MS11, Lewis IA11, Luchinat C10, Jones AR12, Grauslys A12, Larralde M13, Yokochi M14, Kobayashi N14, Porzel A15, Griffin JL16, Viant MR17, Wishart DS3, Steinbeck C4, Salek RM4, Neumann S1","journal":"Anal. Chem.","doi":"10.1021/acs.analchem.7b02795","created_at":"2021-09-30T08:26:04.124Z","updated_at":"2021-09-30T08:26:04.124Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":952,"relation":"undefined"}],"grants":[{"id":11652,"fairsharing_record_id":1363,"organisation_id":917,"relation":"funds","created_at":"2024-03-29T14:00:18.622Z","updated_at":"2024-03-29T14:00:18.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11651,"fairsharing_record_id":1363,"organisation_id":1822,"relation":"associated_with","created_at":"2024-03-29T14:00:18.619Z","updated_at":"2024-03-29T14:00:18.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11653,"fairsharing_record_id":1363,"organisation_id":2380,"relation":"associated_with","created_at":"2024-03-29T14:40:15.367Z","updated_at":"2024-03-29T14:40:15.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1364","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:03:05.000Z","updated_at":"2022-12-13T10:26:42.247Z","metadata":{"doi":"10.25504/FAIRsharing.5suBHK","name":"IVOA Spectral Data Model","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/SpectralDM/index.html","citations":[{"publication_id":2946}],"identifier":1364,"description":"The IVOA Spectral Data Model is a data model describing the structure of spectrophotometric datasets with spectral and temporal coordinates and associated metadata. This data model may be used to represent spectra, time series data, segments of SED (Spectral Energy Distributions) and other spectral or temporal associations. Work on this Data model has concluded. The development of component models DatasetMetadata, NDCube, and STC2 form a basis set of models on which this specification should be built. It was decided that the timescale between the release of this model and the subsequent conversion to the component model basis is too short to warrant moving forward. Upon the release of the above component models, it is expected that the Spectral model will be revisited, possibly expanding the scope to cover other products such as Eschelle spectra and TimeSeries. This document should serve as a guide for that work. The content of this model satisfies the requirements for which it was generated, so a simple translation of concepts should be a good starting point.","abbreviation":"SpectralDM","year_creation":2016},"legacy_ids":["bsg-001166","bsg-s001166"],"name":"FAIRsharing record for: IVOA Spectral Data Model","abbreviation":"SpectralDM","url":"https://fairsharing.org/10.25504/FAIRsharing.5suBHK","doi":"10.25504/FAIRsharing.5suBHK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA Spectral Data Model is a data model describing the structure of spectrophotometric datasets with spectral and temporal coordinates and associated metadata. This data model may be used to represent spectra, time series data, segments of SED (Spectral Energy Distributions) and other spectral or temporal associations. Work on this Data model has concluded. The development of component models DatasetMetadata, NDCube, and STC2 form a basis set of models on which this specification should be built. It was decided that the timescale between the release of this model and the subsequent conversion to the component model basis is too short to warrant moving forward. Upon the release of the above component models, it is expected that the Spectral model will be revisited, possibly expanding the scope to cover other products such as Eschelle spectra and TimeSeries. This document should serve as a guide for that work. The content of this model satisfies the requirements for which it was generated, so a simple translation of concepts should be a good starting point.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11474}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2946,"pubmed_id":null,"title":"IVOA Spectrum Data Model Version 1.1","year":2011,"url":"http://dx.doi.org/10.5479/ADS/bib/2011ivoa.spec.1120M","authors":"McDowell, Jonathan; Tody, Doug; Budavari, Tamas; Dolensky, Markus; Kamp, Inga; McCusker, Kelly; Protopapas, Pavlos; Rots, Arnold; Thompson, Randy; Valdes, Frank; Skoda, Petr; Rino, Bruno; Derriere, S; Salgado, J; Laurino, O; IVOA DAL Group; Data Model WG","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.074Z","updated_at":"2021-09-30T08:28:03.074Z"}],"licence_links":[],"grants":[{"id":7299,"fairsharing_record_id":1364,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.057Z","updated_at":"2021-09-30T09:28:33.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7300,"fairsharing_record_id":1364,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.098Z","updated_at":"2021-09-30T09:28:33.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1365","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:00:58.000Z","updated_at":"2022-12-13T10:26:30.829Z","metadata":{"doi":"10.25504/FAIRsharing.RYXNBS","name":"Space-Time Coordinate Metadata for the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/STC.html","citations":[{"publication_id":2944}],"identifier":1365,"description":"The Space-Time Coordinate (STC) metadata for the Virtual Observatory provides a standard for users to specify the spatial coordinates they work in; these will, for most astronomical users, be some flavor of equatorial coordinates. However, there are many variations, not only in terms of different equatorial systems, either from historical collections (FK1-4) or in the uses of Galactic or ecliptic coordinates, but also geographic, barycentric, planetocentric, and instrumental detector coordinates, most of them in spherical as well as Cartesian form. In addition, high-accuracy requirements and special situations such as spacecraft-based observatories create the need for specifying the origin of such coordinate frames – in most cases the location of the observatory. The same is true for time and spectral coordinates: for many applications it may not matter, but there are situations where it is crucial to know what timescale was used, where time was measured, or what inertial standard of rest was used to express the frequency. What this amounts to is that for spatial coordinates it is necessary to know the coordinate system (its type and orientation) and the origin that were used, for time the timescale (UTC, TT, TAI, TDB, etc.) and the spatial reference position, for the spectral coordinate the origin in phase space, and for redshifts (Doppler velocity) the definition as well as the phase space origin. This standard explains the various components, highlights some implementation considerations, presents a complete set of UML diagrams, and discusses the relation between STC and certain other parts of the Data Model. Two serializations are described in this standard document: XML Schema (STC-X) and String (STC-S); the former is an integral part of this Recommendation.","abbreviation":"STC","support_links":[{"url":"http://www.ivoa.net/Documents/REC/DM/STC-20071030.html","name":"View Standard","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001163","bsg-s001163"],"name":"FAIRsharing record for: Space-Time Coordinate Metadata for the Virtual Observatory","abbreviation":"STC","url":"https://fairsharing.org/10.25504/FAIRsharing.RYXNBS","doi":"10.25504/FAIRsharing.RYXNBS","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Space-Time Coordinate (STC) metadata for the Virtual Observatory provides a standard for users to specify the spatial coordinates they work in; these will, for most astronomical users, be some flavor of equatorial coordinates. However, there are many variations, not only in terms of different equatorial systems, either from historical collections (FK1-4) or in the uses of Galactic or ecliptic coordinates, but also geographic, barycentric, planetocentric, and instrumental detector coordinates, most of them in spherical as well as Cartesian form. In addition, high-accuracy requirements and special situations such as spacecraft-based observatories create the need for specifying the origin of such coordinate frames – in most cases the location of the observatory. The same is true for time and spectral coordinates: for many applications it may not matter, but there are situations where it is crucial to know what timescale was used, where time was measured, or what inertial standard of rest was used to express the frequency. What this amounts to is that for spatial coordinates it is necessary to know the coordinate system (its type and orientation) and the origin that were used, for time the timescale (UTC, TT, TAI, TDB, etc.) and the spatial reference position, for the spectral coordinate the origin in phase space, and for redshifts (Doppler velocity) the definition as well as the phase space origin. This standard explains the various components, highlights some implementation considerations, presents a complete set of UML diagrams, and discusses the relation between STC and certain other parts of the Data Model. Two serializations are described in this standard document: XML Schema (STC-X) and String (STC-S); the former is an integral part of this Recommendation.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11473}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2944,"pubmed_id":null,"title":"Space-Time Coordinate Metadata for the Virtual Observatory Version 1.33","year":2007,"url":"http://dx.doi.org/10.5479/ADS/bib/2007ivoa.spec.1030R","authors":"Rots, A. H.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.855Z","updated_at":"2021-09-30T08:28:02.855Z"}],"licence_links":[],"grants":[{"id":7302,"fairsharing_record_id":1365,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.191Z","updated_at":"2021-09-30T09:28:33.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7301,"fairsharing_record_id":1365,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.140Z","updated_at":"2021-09-30T09:28:33.140Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1366","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:35:13.000Z","updated_at":"2022-12-13T10:26:16.418Z","metadata":{"doi":"10.25504/FAIRsharing.H4mrHs","name":"Simulation Data Access Layer","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SimDAL/index.html","citations":[{"publication_id":2939}],"identifier":1366,"description":"The Simulation Data Access Layer protocol (SimDAL) defines a set of resources and associated actions to discover and retrieve simulations and numerical models in the Virtual Observatory. SimDAL and the Simulation Data Model are dedicated to cover the needs for the publication and retrieval of any kind of simulations: N-body or MHD simulations, numerical models of astrophysical objects and processes, theoretical synthetic spectra, etc... SimDAL is divided in three parts. First, SimDAL Repositories store the descriptions of theoretical projects and numerical codes. They can be used by clients to discover theoretical services associated with projects of interest. Second, SimDAL Search services are dedicated to the discovery of precise datasets. Finally, SimDAL Data Access services are dedicated to retrieve the original simulation output data, as plain raw data or formatted datasets cut-outs. To manage any kind of data, eventually large or at high-dimensionality, the SimDAL standard lets publishers choose any underlying implementation technology.","abbreviation":"SimDAL","support_links":[{"url":"http://ivoa.net/documents/SimDAL/20170320/REC-SimDAL-1.0-20170320.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SimDAL","name":"SimDAL Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001157","bsg-s001157"],"name":"FAIRsharing record for: Simulation Data Access Layer","abbreviation":"SimDAL","url":"https://fairsharing.org/10.25504/FAIRsharing.H4mrHs","doi":"10.25504/FAIRsharing.H4mrHs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simulation Data Access Layer protocol (SimDAL) defines a set of resources and associated actions to discover and retrieve simulations and numerical models in the Virtual Observatory. SimDAL and the Simulation Data Model are dedicated to cover the needs for the publication and retrieval of any kind of simulations: N-body or MHD simulations, numerical models of astrophysical objects and processes, theoretical synthetic spectra, etc... SimDAL is divided in three parts. First, SimDAL Repositories store the descriptions of theoretical projects and numerical codes. They can be used by clients to discover theoretical services associated with projects of interest. Second, SimDAL Search services are dedicated to the discovery of precise datasets. Finally, SimDAL Data Access services are dedicated to retrieve the original simulation output data, as plain raw data or formatted datasets cut-outs. To manage any kind of data, eventually large or at high-dimensionality, the SimDAL standard lets publishers choose any underlying implementation technology.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11479}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2939,"pubmed_id":null,"title":"Simulation Data Access Layer Version 1.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0320L","authors":"Languignon, David; Le Petit, Franck; Rodrigo, Carlos; Lemson, Gerard; Molinaro, Marco; Wozniak, Hervé","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.225Z","updated_at":"2021-09-30T08:28:02.225Z"}],"licence_links":[],"grants":[{"id":7303,"fairsharing_record_id":1366,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.217Z","updated_at":"2021-09-30T09:28:33.217Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7304,"fairsharing_record_id":1366,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.241Z","updated_at":"2021-09-30T09:28:33.241Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1375","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:43:59.000Z","updated_at":"2022-12-14T08:16:16.053Z","metadata":{"doi":"10.25504/FAIRsharing.QXwmj1","name":"Simple Image Access Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/SIA/","citations":[{"publication_id":2920}],"identifier":1375,"description":"The Simple Image Access protocol (SIA) provides capabilities for the discovery, description, access, and retrieval of multi-dimensional image datasets, including 2-D images as well as datacubes of three or more dimensions. SIA data discovery is based on the ObsCore Data Model (ObsCoreDM), which primarily describes data products by the physical axes (spatial, spectral, time, and polarization). Image datasets with dimension greater than 2 are often referred to as datacubes, cube or image cube datasets and may be considered examples of hypercube or n-cube data. In this document the term “image” refers to general multi-dimensional datasets and is synonymous with these other terms unless the image dimensionality is otherwise specified. SIA provides capabilities for image discovery and access. Data discovery and metadata access (using ObsCoreDM) are defined here. The capabilities for drilling down to data files (and related resources) and services for remote access are defined elsewhere, but SIA also allows for direct access to retrieval.","abbreviation":"SIA","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SiaInterface","name":"SIA Wiki","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-001154","bsg-s001154"],"name":"FAIRsharing record for: Simple Image Access Protocol","abbreviation":"SIA","url":"https://fairsharing.org/10.25504/FAIRsharing.QXwmj1","doi":"10.25504/FAIRsharing.QXwmj1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Image Access protocol (SIA) provides capabilities for the discovery, description, access, and retrieval of multi-dimensional image datasets, including 2-D images as well as datacubes of three or more dimensions. SIA data discovery is based on the ObsCore Data Model (ObsCoreDM), which primarily describes data products by the physical axes (spatial, spectral, time, and polarization). Image datasets with dimension greater than 2 are often referred to as datacubes, cube or image cube datasets and may be considered examples of hypercube or n-cube data. In this document the term “image” refers to general multi-dimensional datasets and is synonymous with these other terms unless the image dimensionality is otherwise specified. SIA provides capabilities for image discovery and access. Data discovery and metadata access (using ObsCoreDM) are defined here. The capabilities for drilling down to data files (and related resources) and services for remote access are defined elsewhere, but SIA also allows for direct access to retrieval.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11470}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2920,"pubmed_id":null,"title":"IVOA Simple Image Access Version 2.0","year":2015,"url":"http://dx.doi.org/10.5479/ADS/bib/2015ivoa.spec.1223D","authors":"Dowler, Patrick; Bonnarel, François; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:59.616Z","updated_at":"2021-09-30T08:27:59.616Z"}],"licence_links":[],"grants":[{"id":7324,"fairsharing_record_id":1375,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.835Z","updated_at":"2021-09-30T09:28:33.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7325,"fairsharing_record_id":1375,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.860Z","updated_at":"2021-09-30T09:28:33.860Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1376","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T12:19:24.000Z","updated_at":"2022-12-14T08:15:49.663Z","metadata":{"doi":"10.25504/FAIRsharing.eMKdXo","name":"IVOA Sky Event Reporting Metadata","status":"ready","contacts":[{"contact_name":"IVOA Time Domain Interest Group","contact_email":"voevent@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOEvent/index.html","citations":[{"publication_id":2967}],"identifier":1376,"description":"VOEvent defines the content and meaning of a standard information packet for representing, transmitting, publishing and archiving information about a transient celestial event, with the implication that timely follow-up is of interest. The objective is to motivate the observation of targets-of-opportunity, to drive robotic telescopes, to trigger archive searches, and to alert the community. VOEvent is focused on the reporting of photon events, but events mediated by disparate phenomena such as neutrinos, gravitational waves, and solar or atmospheric particle bursts may also be reported. Structured data is used, rather than natural language, so that automated systems can effectively interpret VOEvent packets. Each packet may contain zero or more of the \"who, what, where, when \u0026 how\" of a detected event, but in addition, may contain a hypothesis (a \"why\") regarding the nature of the underlying physical cause of the event. Citations to previous VOEvents may be used to place each event in its correct context. Proper curation is encouraged throughout each event's life cycle from discovery through successive follow-ups. VOEvent packets gain persistent identifiers and are typically stored in databases reached via registries. VOEvent packets may therefore reference other packets in various ways. Packets are encouraged to be small and to be processed quickly. This standard does not define a transport layer or the design of clients, repositories, publishers or brokers; it does not cover policy issues such as who can publish, who can build a registry of events, who can subscribe to a particular registry, nor the intellectual property issues.","abbreviation":"VOEvent","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOEventTwoPointZero","name":"VOEvent Wiki","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-001207","bsg-s001207"],"name":"FAIRsharing record for: IVOA Sky Event Reporting Metadata","abbreviation":"VOEvent","url":"https://fairsharing.org/10.25504/FAIRsharing.eMKdXo","doi":"10.25504/FAIRsharing.eMKdXo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOEvent defines the content and meaning of a standard information packet for representing, transmitting, publishing and archiving information about a transient celestial event, with the implication that timely follow-up is of interest. The objective is to motivate the observation of targets-of-opportunity, to drive robotic telescopes, to trigger archive searches, and to alert the community. VOEvent is focused on the reporting of photon events, but events mediated by disparate phenomena such as neutrinos, gravitational waves, and solar or atmospheric particle bursts may also be reported. Structured data is used, rather than natural language, so that automated systems can effectively interpret VOEvent packets. Each packet may contain zero or more of the \"who, what, where, when \u0026 how\" of a detected event, but in addition, may contain a hypothesis (a \"why\") regarding the nature of the underlying physical cause of the event. Citations to previous VOEvents may be used to place each event in its correct context. Proper curation is encouraged throughout each event's life cycle from discovery through successive follow-ups. VOEvent packets gain persistent identifiers and are typically stored in databases reached via registries. VOEvent packets may therefore reference other packets in various ways. Packets are encouraged to be small and to be processed quickly. This standard does not define a transport layer or the design of clients, repositories, publishers or brokers; it does not cover policy issues such as who can publish, who can build a registry of events, who can subscribe to a particular registry, nor the intellectual property issues.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11472}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2967,"pubmed_id":null,"title":"Sky Event Reporting Metadata Version 2.0","year":2011,"url":"http://dx.doi.org/10.5479/ADS/bib/2011ivoa.spec.0711S","authors":"Seaman, Rob; Williams, Roy; Allan, Alasdair; Barthelmy, Scott; Bloom, Joshua; Brewer, John; Denny, Robert; Fitzpatrick, Mike; Graham, Matthew; Gray, Norman; Hessman, Frederic; Marka, Szabolcs; Rots, Arnold; Vestrand, Tom; Wozniak, Przemyslaw","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.608Z","updated_at":"2021-09-30T08:28:05.608Z"}],"licence_links":[],"grants":[{"id":7327,"fairsharing_record_id":1376,"organisation_id":1579,"relation":"maintains","created_at":"2021-09-30T09:28:33.909Z","updated_at":"2021-09-30T09:28:33.909Z","grant_id":null,"is_lead":false,"saved_state":{"id":1579,"name":"IVOA Time Domain Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7326,"fairsharing_record_id":1376,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.884Z","updated_at":"2021-09-30T09:28:33.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1377","type":"fairsharing_records","attributes":{"created_at":"2018-04-17T09:54:18.000Z","updated_at":"2022-12-13T11:21:30.484Z","metadata":{"doi":"10.25504/FAIRsharing.rYgXhw","name":"Observation Data Model Core Components and its Implementation in the Table Access Protocol","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/ObsCore/index.html","citations":[{"publication_id":2947}],"identifier":1377,"description":"This document defines the core components of the Observation data model that are necessary to perform data discovery when querying data centers for astronomical observations of interest. It exposes use-cases to be carried out, explains the model and provides guidelines for its implementation as a data access service based on the Table Access Protocol (TAP). It aims at providing a simple model easy to understand and to implement by data providers that wish to publish their data into the Virtual Observatory. This interface integrates data modeling and data access aspects in a single service and is named ObsTAP. In this document, the Observation Data Model Core Components (ObsCoreDM) defines the core components of queryable metadata required for global discovery of observational data. It is meant to allow a single query to be posed to TAP services at multiple sites to perform global data discovery without having to understand the details of the services present at each site. It defines a minimal set of basic metadata and thus allows for a reasonable cost of implementation by data providers.","abbreviation":"ObsCoreDM"},"legacy_ids":["bsg-001176","bsg-s001176"],"name":"FAIRsharing record for: Observation Data Model Core Components and its Implementation in the Table Access Protocol","abbreviation":"ObsCoreDM","url":"https://fairsharing.org/10.25504/FAIRsharing.rYgXhw","doi":"10.25504/FAIRsharing.rYgXhw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document defines the core components of the Observation data model that are necessary to perform data discovery when querying data centers for astronomical observations of interest. It exposes use-cases to be carried out, explains the model and provides guidelines for its implementation as a data access service based on the Table Access Protocol (TAP). It aims at providing a simple model easy to understand and to implement by data providers that wish to publish their data into the Virtual Observatory. This interface integrates data modeling and data access aspects in a single service and is named ObsTAP. In this document, the Observation Data Model Core Components (ObsCoreDM) defines the core components of queryable metadata required for global discovery of observational data. It is meant to allow a single query to be posed to TAP services at multiple sites to perform global data discovery without having to understand the details of the services present at each site. It defines a minimal set of basic metadata and thus allows for a reasonable cost of implementation by data providers.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11476}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2947,"pubmed_id":null,"title":"Observation Data Model Core Components, its Implementation in the Table Access Protocol Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0509L","authors":"Louys, Mireille; Tody, Doug; Dowler, Patrick; Durand, Daniel; Michel, Laurent; Bonnarel, Francos; Micol, Alberto; IVOA DataModel Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.199Z","updated_at":"2021-09-30T08:28:03.199Z"}],"licence_links":[],"grants":[{"id":7329,"fairsharing_record_id":1377,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.960Z","updated_at":"2021-09-30T09:28:33.960Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7328,"fairsharing_record_id":1377,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.935Z","updated_at":"2021-09-30T09:28:33.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1378","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:44:12.000Z","updated_at":"2022-12-13T10:29:47.648Z","metadata":{"doi":"10.25504/FAIRsharing.RycpEU","name":"IVOA Registry Interfaces","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/RegistryInterface/","citations":[{"publication_id":2956}],"identifier":1378,"description":"The VO Registry provides a mechanism with which VO applications can discover and select resources that are relevant for a particular scientific problem. This specification defines the operation of this system. It is based on a general, distributed model composed of searchable and publishing registries, as introduced at the beginning of this document. The main body of the IVOA Registry Interfaces specification has three components: (a) an interface for harvesting publishing registries, which builds upon the Open Archives Initiative Protocol for Metadata Harvesting. (b) A VOResource extension for registering registry services and description of a central list of said IVOA registry services. (c) A discussion of the Registry of Registries as the root component of data discovery in the VO.","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/documents/RegistryInterface/20171010/PR-RegistryInterface-1.1-20171010.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/RI11RFC","name":"IVOA Registry Interfaces - Request for Comments (Wiki)","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/RegistryInterfacesNext","name":"IVOA Registry Interfaces - Next Version Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001197","bsg-s001197"],"name":"FAIRsharing record for: IVOA Registry Interfaces","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.RycpEU","doi":"10.25504/FAIRsharing.RycpEU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VO Registry provides a mechanism with which VO applications can discover and select resources that are relevant for a particular scientific problem. This specification defines the operation of this system. It is based on a general, distributed model composed of searchable and publishing registries, as introduced at the beginning of this document. The main body of the IVOA Registry Interfaces specification has three components: (a) an interface for harvesting publishing registries, which builds upon the Open Archives Initiative Protocol for Metadata Harvesting. (b) A VOResource extension for registering registry services and description of a central list of said IVOA registry services. (c) A discussion of the Registry of Registries as the root component of data discovery in the VO.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11488}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2956,"pubmed_id":null,"title":"Registry Interfaces Version 1.1","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0723D","authors":"Dower, Theresa; Demleitner, Markus; Benson, Kevin; Plante, Ray; Auden, Elizabeth; Graham, Matthew; Greene, Gretchen; Hill, Martin; Linde, Tony; Morris, Dave; O`Mullane, Wil; Rixon, Guy; Stébé, Aurélien; Andrews, Kona","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.324Z","updated_at":"2021-09-30T08:28:04.324Z"}],"licence_links":[],"grants":[{"id":7330,"fairsharing_record_id":1378,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.984Z","updated_at":"2021-09-30T09:28:33.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7331,"fairsharing_record_id":1378,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:34.009Z","updated_at":"2021-09-30T09:28:34.009Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1379","type":"fairsharing_records","attributes":{"created_at":"2018-04-18T12:22:45.000Z","updated_at":"2022-12-13T10:27:03.888Z","metadata":{"doi":"10.25504/FAIRsharing.OcXwxA","name":"Virtual Observatory Data Modeling Language","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/VODML/index.html","citations":[{"publication_id":2948}],"identifier":1379,"description":"The Virtual Observatory Data Modeling Language (VO-DML) defines a standard modelling language, or meta-model, for expressing data models in the IVOA. Adopting such a uniform language for all models allows these to be used in a homogeneous manner and allows a consistent definition of reuse of one model by another. The particular language defined here includes a consistent identification mechanism for model which allows these to be referenced in an explicit and uniform manner also from other contexts, in particular from othe IVOA standard formats such as VOTable. The language defined in this specification is named VO-DML (VO Data Modeling Language). VO-DML is a conceptual modeling language that is agnostic of serializations, or physical representations. This allows it to be designed to fit as many purposes as possible. VO-DML is directly based on UML, and can be seen as a particular representation of a UML2 Profile. VO-DML is restricted to describing static data structures and from UML it only uses a subset of the elements defined in its language for describing \"Class Diagrams\". Its concepts can be easily mapped to equivalent data modelling concepts in other representations such as relational databases, XML schemas and object-oriented computer languages. VO-DML has a representation as a simple XML dialect named VO-DML/XML that must be used to provide the formal representation of a VO-DML data model. VO-DML/XML aims to be concise, explicit and easy to parse and use in code that needs to interpret annotated data sets. VO-DML as described in this document is an example of a domain specific modeling language, where the domain here is defined as the set of data and meta-data structures handled in the IVOA and Astronomy at large. VO-DML provides a custom representation of such a language and as a side effect allows the creation and use of standards compliant data models outside of the IVOA standards context.","abbreviation":"VO-DML","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VODML1RFC","name":"VO-DML Wiki","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001179","bsg-s001179"],"name":"FAIRsharing record for: Virtual Observatory Data Modeling Language","abbreviation":"VO-DML","url":"https://fairsharing.org/10.25504/FAIRsharing.OcXwxA","doi":"10.25504/FAIRsharing.OcXwxA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Virtual Observatory Data Modeling Language (VO-DML) defines a standard modelling language, or meta-model, for expressing data models in the IVOA. Adopting such a uniform language for all models allows these to be used in a homogeneous manner and allows a consistent definition of reuse of one model by another. The particular language defined here includes a consistent identification mechanism for model which allows these to be referenced in an explicit and uniform manner also from other contexts, in particular from othe IVOA standard formats such as VOTable. The language defined in this specification is named VO-DML (VO Data Modeling Language). VO-DML is a conceptual modeling language that is agnostic of serializations, or physical representations. This allows it to be designed to fit as many purposes as possible. VO-DML is directly based on UML, and can be seen as a particular representation of a UML2 Profile. VO-DML is restricted to describing static data structures and from UML it only uses a subset of the elements defined in its language for describing \"Class Diagrams\". Its concepts can be easily mapped to equivalent data modelling concepts in other representations such as relational databases, XML schemas and object-oriented computer languages. VO-DML has a representation as a simple XML dialect named VO-DML/XML that must be used to provide the formal representation of a VO-DML data model. VO-DML/XML aims to be concise, explicit and easy to parse and use in code that needs to interpret annotated data sets. VO-DML as described in this document is an example of a domain specific modeling language, where the domain here is defined as the set of data and meta-data structures handled in the IVOA and Astronomy at large. VO-DML provides a custom representation of such a language and as a side effect allows the creation and use of standards compliant data models outside of the IVOA standards context.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11477}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2948,"pubmed_id":null,"title":"VO-DML: a consistent modeling language for IVOA data models Version 1.0","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0910L","authors":"Lemson, Gerard; Laurino, Omar; Bourges, Laurent; Cresitello-Dittmar, Mark; Demleitner, Markus; Donaldson, Tom; Dowler, Patrick; Graham, Matthew; Gray, Norman; Michel, Laurent; Salgado, Jesus","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.307Z","updated_at":"2021-09-30T08:28:03.307Z"}],"licence_links":[],"grants":[{"id":7332,"fairsharing_record_id":1379,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.035Z","updated_at":"2021-09-30T09:28:34.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7333,"fairsharing_record_id":1379,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:34.060Z","updated_at":"2021-09-30T09:28:34.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1369","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:01:49.000Z","updated_at":"2022-12-13T10:26:05.599Z","metadata":{"doi":"10.25504/FAIRsharing.yYjZWb","name":"Data Model for Astronomical DataSet Characterisation","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/CharacterisationDM.html","citations":[{"publication_id":2908}],"identifier":1369,"description":"The Data Model for Astronomical DataSet Characterisation defines the high level metadata necessary to describe the physical parameter space of observed or simulated astronomical data sets, such as 2D-images, data cubes, X-ray event lists, IFU data, etc.. The Characterisation data model is an abstraction which can be used to derive a structured description of any relevant data and thus to facilitate its discovery and scientific interpretation. The model aims at facilitating the manipulation of heterogeneous data in any VO framework or portal. A VO Characterisation instance can include descriptions of the data axes, the range of coordinates covered by the data, and details of the data sampling and resolution on each axis. These descriptions should be in terms of physical variables, independent of instrumental signatures as far as possible.","abbreviation":"CharDM","year_creation":2008},"legacy_ids":["bsg-001164","bsg-s001164"],"name":"FAIRsharing record for: Data Model for Astronomical DataSet Characterisation","abbreviation":"CharDM","url":"https://fairsharing.org/10.25504/FAIRsharing.yYjZWb","doi":"10.25504/FAIRsharing.yYjZWb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Model for Astronomical DataSet Characterisation defines the high level metadata necessary to describe the physical parameter space of observed or simulated astronomical data sets, such as 2D-images, data cubes, X-ray event lists, IFU data, etc.. The Characterisation data model is an abstraction which can be used to derive a structured description of any relevant data and thus to facilitate its discovery and scientific interpretation. The model aims at facilitating the manipulation of heterogeneous data in any VO framework or portal. A VO Characterisation instance can include descriptions of the data axes, the range of coordinates covered by the data, and details of the data sampling and resolution on each axis. These descriptions should be in terms of physical variables, independent of instrumental signatures as far as possible.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11453}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2908,"pubmed_id":null,"title":"Data Model for Astronomical DataSet Characterisation Version 1.13","year":2008,"url":"http://dx.doi.org/10.5479/ADS/bib/2008ivoa.spec.0325L","authors":"Louys, Mireille; Richards, Anita; Bonnarel, François; Micol, Alberto; Chilingarian, Igor; McDowell, Jonathan; IVOA Data Model Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:58.073Z","updated_at":"2021-09-30T08:27:58.073Z"}],"licence_links":[],"grants":[{"id":7312,"fairsharing_record_id":1369,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.442Z","updated_at":"2021-09-30T09:28:33.442Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7313,"fairsharing_record_id":1369,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.467Z","updated_at":"2021-09-30T09:28:33.467Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1370","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:50:41.000Z","updated_at":"2022-12-13T10:25:55.272Z","metadata":{"doi":"10.25504/FAIRsharing.qSULus","name":"Resource Metadata for the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/RM/index.html","citations":[{"publication_id":2957}],"identifier":1370,"description":"An essential capability of the Virtual Observatory is a means for describing what data and computational facilities are available where, and once identified, how to use them. The data themselves have associated metadata (e.g., FITS keywords), and similarly we require metadata about data collections and data services so that VO users can easily find information of interest. Furthermore, such metadata are needed in order to manage distributed queries efficiently; if a user is interested in finding x-ray images there is no point in querying the HST archive, for example. The Resource Metadata for the Virtual Observatory standard describes an architecture for resource and service metadata and the relationship of this architecture to emerging Web Services standards. We also define an initial set of metadata concepts.","abbreviation":"IVOA RM","support_links":[{"url":"http://ivoa.net/documents/RM/20070302/REC-RM-1.12-20070302.html","name":"View Standard","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001198","bsg-s001198"],"name":"FAIRsharing record for: Resource Metadata for the Virtual Observatory","abbreviation":"IVOA RM","url":"https://fairsharing.org/10.25504/FAIRsharing.qSULus","doi":"10.25504/FAIRsharing.qSULus","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An essential capability of the Virtual Observatory is a means for describing what data and computational facilities are available where, and once identified, how to use them. The data themselves have associated metadata (e.g., FITS keywords), and similarly we require metadata about data collections and data services so that VO users can easily find information of interest. Furthermore, such metadata are needed in order to manage distributed queries efficiently; if a user is interested in finding x-ray images there is no point in querying the HST archive, for example. The Resource Metadata for the Virtual Observatory standard describes an architecture for resource and service metadata and the relationship of this architecture to emerging Web Services standards. We also define an initial set of metadata concepts.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11468}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2957,"pubmed_id":null,"title":"Resource Metadata for the Virtual Observatory Version 1.12","year":2007,"url":"http://dx.doi.org/10.5479/ADS/bib/2007ivoa.spec.0302H","authors":"Hanisch, Robert; IVOA Resource Registry Working Group; NVO Metadata Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.441Z","updated_at":"2021-09-30T08:28:04.441Z"}],"licence_links":[],"grants":[{"id":7315,"fairsharing_record_id":1370,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:33.518Z","updated_at":"2021-09-30T09:28:33.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7314,"fairsharing_record_id":1370,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.493Z","updated_at":"2021-09-30T09:28:33.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1371","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T10:04:35.000Z","updated_at":"2022-12-14T08:17:11.664Z","metadata":{"doi":"10.25504/FAIRsharing.8ezzRt","name":"SimpleDALRegExt - Describing Simple IVOA Data Access Services","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/SimpleDALRegExt/index.html","citations":[{"doi":null,"pubmed_id":null,"publication_id":2959}],"identifier":1371,"description":"An application that queries or consumes descriptions of VO resources must be able to recognize a resource's support for standard IVOA protocols. The SimpleDALRegExt specification describes how to describe a service that supports any of the four typed data access protocols - Simple Cone Search (SCS), Simple Image Access (SIA), Simple Spectral Access (SSA), Simple Line Access (SLA) - using the VOResource XML encoding standard. A key part of this specification is the set of VOResource XML extension schemas that define new metadata that are specific to those protocols. SimpleDALRegExt describes rules for describing such services within the context of IVOA Registries and data discovery as well as the VO Support Interfaces (VOSI) and service self-description. In particular, this document spells out the essential mark-up needed to identify support for a standard protocol and the base URL required to access the interface that supports that protocol.","abbreviation":"SimpleDALRegExt","support_links":[{"url":"http://ivoa.net/documents/SimpleDALRegExt/20170530/REC-SimpleDALRegExt-1.1.html","name":"View Standard","type":"Help documentation"},{"url":"https://www.ivoa.net/documents/SimpleDALRegExt/20220222/index.html","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001200","bsg-s001200"],"name":"FAIRsharing record for: SimpleDALRegExt - Describing Simple IVOA Data Access Services","abbreviation":"SimpleDALRegExt","url":"https://fairsharing.org/10.25504/FAIRsharing.8ezzRt","doi":"10.25504/FAIRsharing.8ezzRt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application that queries or consumes descriptions of VO resources must be able to recognize a resource's support for standard IVOA protocols. The SimpleDALRegExt specification describes how to describe a service that supports any of the four typed data access protocols - Simple Cone Search (SCS), Simple Image Access (SIA), Simple Spectral Access (SSA), Simple Line Access (SLA) - using the VOResource XML encoding standard. A key part of this specification is the set of VOResource XML extension schemas that define new metadata that are specific to those protocols. SimpleDALRegExt describes rules for describing such services within the context of IVOA Registries and data discovery as well as the VO Support Interfaces (VOSI) and service self-description. In particular, this document spells out the essential mark-up needed to identify support for a standard protocol and the base URL required to access the interface that supports that protocol.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11481}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2959,"pubmed_id":null,"title":"Describing Simple Data Access Services Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0530P","authors":"Plante, Ray; Demleitner, Markus; Plante, Raymond; Delago, Jesus; Harrison, Paul; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.674Z","updated_at":"2021-09-30T08:28:04.674Z"}],"licence_links":[],"grants":[{"id":7316,"fairsharing_record_id":1371,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.571Z","updated_at":"2021-09-30T09:28:33.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7317,"fairsharing_record_id":1371,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:33.612Z","updated_at":"2021-09-30T09:28:33.612Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1372","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T09:35:37.000Z","updated_at":"2022-12-14T08:16:55.910Z","metadata":{"doi":"10.25504/FAIRsharing.TVImPv","name":"VODataService: a VOResource Schema Extension for Describing Collections and Services","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/VODataService/index.html","citations":[{"publication_id":2961}],"identifier":1372,"description":"VODataService refers to an XML encoding standard for a specialized extension of the IVOA Resource Metadata that is useful for describing data collections and the services that access them. It is defined as an extension of the core resource metadata encoding standard known as VOResource using XML Schema. The specialized resource types defined by the VODataService schema allow one to describe how the data underlying the resource cover the sky as well as cover frequency and time. This coverage description leverages heavily the Space-Time Coordinates (STC) standard schema. VODataService also enables detailed descriptions of tables that includes information useful to the discovery of tabular data. It is intended that the VODataService data types will be particularly useful in describing services that support standard IVOA service protocols.","abbreviation":"VODataService","support_links":[{"url":"http://ivoa.net/documents/VODataService/20101202/REC-VODataService-1.1-20101202.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VODataServiceNext","name":"VODataService Next Steps (Wiki)","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-001202","bsg-s001202"],"name":"FAIRsharing record for: VODataService: a VOResource Schema Extension for Describing Collections and Services","abbreviation":"VODataService","url":"https://fairsharing.org/10.25504/FAIRsharing.TVImPv","doi":"10.25504/FAIRsharing.TVImPv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VODataService refers to an XML encoding standard for a specialized extension of the IVOA Resource Metadata that is useful for describing data collections and the services that access them. It is defined as an extension of the core resource metadata encoding standard known as VOResource using XML Schema. The specialized resource types defined by the VODataService schema allow one to describe how the data underlying the resource cover the sky as well as cover frequency and time. This coverage description leverages heavily the Space-Time Coordinates (STC) standard schema. VODataService also enables detailed descriptions of tables that includes information useful to the discovery of tabular data. It is intended that the VODataService data types will be particularly useful in describing services that support standard IVOA service protocols.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11482}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2961,"pubmed_id":null,"title":"VODataService: a VOResource Schema Extension for Describing Collections, Services Version 1.1","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.1202P","authors":"Plante, Raymond; Stébé, Aurélien; Benson, Kevin; Dowler, Patrick; Graham, Matthew; Greene, Gretchen; Harrison, Paul; Lemson, Gerard; Linde, Tony; Rixon, Guy","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.908Z","updated_at":"2021-09-30T08:28:04.908Z"}],"licence_links":[],"grants":[{"id":7318,"fairsharing_record_id":1372,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.649Z","updated_at":"2021-09-30T09:28:33.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7319,"fairsharing_record_id":1372,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:33.691Z","updated_at":"2021-09-30T09:28:33.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1373","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:54:20.000Z","updated_at":"2022-12-14T08:16:44.827Z","metadata":{"doi":"10.25504/FAIRsharing.4BQ3AQ","name":"Simple Spectral Access Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SSA/","citations":[{"publication_id":2936}],"identifier":1373,"description":"The Simple Spectral Access (SSA) Protocol (SSAP) defines a uniform interface to remotely discover and access one dimensional spectra. SSA is a member of an integrated family of data access interfaces altogether comprising the Data Access Layer (DAL) of the IVOA. SSA is based on a more general data model capable of describing most tabular spectrophotometric data, including time series and spectral energy distributions (SEDs) as well as 1-D spectra; however the scope of the SSA interface as specified in this document is limited to simple 1-D spectra, including simple aggregations of 1-D spectra. The form of the SSA interface is simple: clients first query the global resource registry to find services of interest and then issue a data discovery query to selected services to determine what relevant data is available from each service; the candidate datasets available are described uniformly in a VOTable format document which is returned in response to the query. Finally, the client may retrieve selected datasets for analysis.","abbreviation":"SSA","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SsaInterface","name":"SSA Wiki","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001156","bsg-s001156"],"name":"FAIRsharing record for: Simple Spectral Access Protocol","abbreviation":"SSA","url":"https://fairsharing.org/10.25504/FAIRsharing.4BQ3AQ","doi":"10.25504/FAIRsharing.4BQ3AQ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Spectral Access (SSA) Protocol (SSAP) defines a uniform interface to remotely discover and access one dimensional spectra. SSA is a member of an integrated family of data access interfaces altogether comprising the Data Access Layer (DAL) of the IVOA. SSA is based on a more general data model capable of describing most tabular spectrophotometric data, including time series and spectral energy distributions (SEDs) as well as 1-D spectra; however the scope of the SSA interface as specified in this document is limited to simple 1-D spectra, including simple aggregations of 1-D spectra. The form of the SSA interface is simple: clients first query the global resource registry to find services of interest and then issue a data discovery query to selected services to determine what relevant data is available from each service; the candidate datasets available are described uniformly in a VOTable format document which is returned in response to the query. Finally, the client may retrieve selected datasets for analysis.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11454}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2936,"pubmed_id":null,"title":"Simple Spectral Access Protocol Version 1.1","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0210T","authors":"Tody, Doug; Dolensky, Markus; McDowell, Jonathan; Bonnarel, Francois; Budavari, Tamas; Busko, Ivo; Micol, Alberto; Osuna, Pedro; Salgado, Jesus; Skoda, Petr; Thompson, Randy; Valdes, Frank; Data Access Layer Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.875Z","updated_at":"2021-09-30T08:28:01.875Z"}],"licence_links":[],"grants":[{"id":7321,"fairsharing_record_id":1373,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.761Z","updated_at":"2021-09-30T09:28:33.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7320,"fairsharing_record_id":1373,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.728Z","updated_at":"2021-09-30T09:28:33.728Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1374","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T14:54:21.000Z","updated_at":"2022-12-14T08:16:29.178Z","metadata":{"doi":"10.25504/FAIRsharing.h0dobn","name":"DataLink","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/DataLink/index.html","citations":[{"publication_id":2934}],"identifier":1374,"description":"The DataLink specification defines mechanisms for connecting metadata about discovered datasets to the data, related data products, and web services that can act upon the data. DataLink is a data access protocol in the IVOA architecture whose purpose is to provide a mechanism to link resources found via one service to resources provided by other services. The web service capability supports a drill-down into the details of a specific dataset and provides a set of links to the dataset file(s) and related resources. This specification also includes a VOTable-specific method of providing descriptions of one or more services and their input(s), usually using parameter values from elsewhere in the VOTable document. Providers are able to describe services that are relevant to the records (usually datasets with identifiers) by including service descriptors in a result document.","abbreviation":"DataLink","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/DataLink","name":"DataLink Wiki","type":"Help documentation"},{"url":"http://www.ivoa.net/rdf/datalink/core/2014-10-30/datalink-core-2014-10-30.html","name":"DataLink Controlled Vocabulary","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001149","bsg-s001149"],"name":"FAIRsharing record for: DataLink","abbreviation":"DataLink","url":"https://fairsharing.org/10.25504/FAIRsharing.h0dobn","doi":"10.25504/FAIRsharing.h0dobn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DataLink specification defines mechanisms for connecting metadata about discovered datasets to the data, related data products, and web services that can act upon the data. DataLink is a data access protocol in the IVOA architecture whose purpose is to provide a mechanism to link resources found via one service to resources provided by other services. The web service capability supports a drill-down into the details of a specific dataset and provides a set of links to the dataset file(s) and related resources. This specification also includes a VOTable-specific method of providing descriptions of one or more services and their input(s), usually using parameter values from elsewhere in the VOTable document. Providers are able to describe services that are relevant to the records (usually datasets with identifiers) by including service descriptors in a result document.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11465}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2934,"pubmed_id":null,"title":"IVOA DataLink Version 1.0","year":2015,"url":"http://dx.doi.org/10.5479/ADS/bib/2015ivoa.spec.0617D","authors":"Dowler, Patrick; Bonnarel, François; Michel, Laurent; Demleitner, Markus","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.559Z","updated_at":"2021-09-30T08:28:01.559Z"}],"licence_links":[],"grants":[{"id":7322,"fairsharing_record_id":1374,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.784Z","updated_at":"2021-09-30T09:28:33.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7323,"fairsharing_record_id":1374,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.809Z","updated_at":"2021-09-30T09:28:33.809Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1384","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T12:42:43.000Z","updated_at":"2023-12-04T10:34:34.713Z","metadata":{"doi":"10.25504/FAIRsharing.dnE6tF","name":"Table Access Protocol","status":"ready","contacts":[{"contact_name":"IVOA Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/TAP/","citations":[],"identifier":1384,"description":"The table access protocol (TAP) defines a service protocol for accessing general table data, including astronomical catalogs as well as general database tables. Access is provided for both database and table metadata as well as for actual table data. This version of the protocol includes support for multiple query languages, including queries specified using the Astronomical Data Query Language ADQL within an integrated interface. It also includes support for both synchronous and asynchronous queries. Special support is provided for spatially indexed queries using the spatial extensions in ADQL. A multi-position query capability permits queries against an arbitrarily large list of astronomical targets, providing a simple spatial cross-matching capability. More sophisticated distributed cross-matching capabilities are possible by orchestrating a distributed query across multiple TAP services.","abbreviation":"TAP","support_links":[],"year_creation":2018},"legacy_ids":["bsg-001209","bsg-s001209"],"name":"FAIRsharing record for: Table Access Protocol","abbreviation":"TAP","url":"https://fairsharing.org/10.25504/FAIRsharing.dnE6tF","doi":"10.25504/FAIRsharing.dnE6tF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The table access protocol (TAP) defines a service protocol for accessing general table data, including astronomical catalogs as well as general database tables. Access is provided for both database and table metadata as well as for actual table data. This version of the protocol includes support for multiple query languages, including queries specified using the Astronomical Data Query Language ADQL within an integrated interface. It also includes support for both synchronous and asynchronous queries. Special support is provided for spatially indexed queries using the spatial extensions in ADQL. A multi-position query capability permits queries against an arbitrarily large list of astronomical targets, providing a simple spatial cross-matching capability. More sophisticated distributed cross-matching capabilities are possible by orchestrating a distributed query across multiple TAP services.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11492}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2937,"pubmed_id":null,"title":"Table Access Protocol Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.0327D","authors":"Dowler, Patrick; Rixon, Guy; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.992Z","updated_at":"2021-09-30T08:28:01.992Z"}],"licence_links":[],"grants":[{"id":7344,"fairsharing_record_id":1384,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.385Z","updated_at":"2021-09-30T09:28:34.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7345,"fairsharing_record_id":1384,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:34.410Z","updated_at":"2023-12-04T10:29:16.983Z","grant_id":null,"is_lead":true,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2dEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--523a3c4eb1fb16363466f2ddf528c573916e6866/IVOA_wb_300.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1385","type":"fairsharing_records","attributes":{"created_at":"2020-07-06T13:11:42.000Z","updated_at":"2022-07-20T12:21:07.853Z","metadata":{"doi":"10.25504/FAIRsharing.pwk71v","name":"Citation Style Language JSON Schema","status":"ready","homepage":"https://github.com/citation-style-language/schema","identifier":1385,"description":"The Citation Style Language JSON (CSL-JSON) schema renders citations and bibliography metadata for CSL processors. Where the related CSL XML schema provides structured style and locale files, CSL-JSON provides the structured bibliographic metadata. The CSL-JSON schema is not yet fully normative, and care must be taken to ensure compatibility with other tools built around CSL-JSON. CSL-JSON contains two main structures: csl-data.json describes how the metadata of bibliographic items can be stored; and csl-citation.json incorporates csl-data.json and adds an additional layer of information to also describe the context in which bibliographic items are cited, including information such as the order in which items are cited and which items are cited together in a single citation.","abbreviation":"CSL-JSON Schema","support_links":[{"url":"https://citationstyles.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"https://citeproc-js.readthedocs.io/en/latest/csl-json/markup.html","name":"CSL-JSON Information","type":"Help documentation"},{"url":"https://twitter.com/csl_styles","name":"@csl_styles","type":"Twitter"}],"year_creation":2020},"legacy_ids":["bsg-001507","bsg-s001507"],"name":"FAIRsharing record for: Citation Style Language JSON Schema","abbreviation":"CSL-JSON Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.pwk71v","doi":"10.25504/FAIRsharing.pwk71v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citation Style Language JSON (CSL-JSON) schema renders citations and bibliography metadata for CSL processors. Where the related CSL XML schema provides structured style and locale files, CSL-JSON provides the structured bibliographic metadata. The CSL-JSON schema is not yet fully normative, and care must be taken to ensure compatibility with other tools built around CSL-JSON. CSL-JSON contains two main structures: csl-data.json describes how the metadata of bibliographic items can be stored; and csl-citation.json incorporates csl-data.json and adds an additional layer of information to also describe the context in which bibliographic items are cited, including information such as the order in which items are cited and which items are cited together in a single citation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1992,"relation":"undefined"}],"grants":[{"id":7346,"fairsharing_record_id":1385,"organisation_id":2616,"relation":"funds","created_at":"2021-09-30T09:28:34.440Z","updated_at":"2021-09-30T09:28:34.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":2616,"name":"Springer Nature","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7348,"fairsharing_record_id":1385,"organisation_id":524,"relation":"maintains","created_at":"2021-09-30T09:28:34.499Z","updated_at":"2021-09-30T09:28:34.499Z","grant_id":null,"is_lead":true,"saved_state":{"id":524,"name":"Citation Style Language Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7347,"fairsharing_record_id":1385,"organisation_id":1817,"relation":"funds","created_at":"2021-09-30T09:28:34.470Z","updated_at":"2021-09-30T09:28:34.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":1817,"name":"Mendeley, London, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7349,"fairsharing_record_id":1385,"organisation_id":850,"relation":"funds","created_at":"2021-09-30T09:28:34.541Z","updated_at":"2021-09-30T09:28:34.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7350,"fairsharing_record_id":1385,"organisation_id":2413,"relation":"funds","created_at":"2021-09-30T09:28:34.581Z","updated_at":"2021-09-30T09:28:34.581Z","grant_id":null,"is_lead":false,"saved_state":{"id":2413,"name":"RefWorks, ProQuest LLC.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1386","type":"fairsharing_records","attributes":{"created_at":"2018-10-05T07:34:30.000Z","updated_at":"2022-12-14T08:17:23.656Z","metadata":{"doi":"10.25504/FAIRsharing.a8diI4","name":"The UCD1+ controlled vocabulary","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/UCD1+/","citations":[{"publication_id":2965}],"identifier":1386,"description":"This document describes the list of controlled terms used to build the Unified Content Descriptors, Version 1+ (UCD1+). The document describing the UCD1+ can be found at the URL: http://www.ivoa.net/Documents/latest/UCD.html. This document reviews the structure of the UCD1+ and presents the current vocabulary. This version contains new UCD words for the planetary data community as proposed in the Technical Note by Cecconi et al. The suggested list of line labels under the em.line branch is not included. A general solution is currently under study to deal with lists of element instances such spectral lines, chemical elements, elementary particles, etc. using either utypes or a vocabulary.","abbreviation":"UCD1+ Vocabulary","support_links":[{"url":"http://www.ivoa.net/documents/UCD1+/index.html","name":"View Standard","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001304","bsg-s001304"],"name":"FAIRsharing record for: The UCD1+ controlled vocabulary","abbreviation":"UCD1+ Vocabulary","url":"https://fairsharing.org/10.25504/FAIRsharing.a8diI4","doi":"10.25504/FAIRsharing.a8diI4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document describes the list of controlled terms used to build the Unified Content Descriptors, Version 1+ (UCD1+). The document describing the UCD1+ can be found at the URL: http://www.ivoa.net/Documents/latest/UCD.html. This document reviews the structure of the UCD1+ and presents the current vocabulary. This version contains new UCD words for the planetary data community as proposed in the Technical Note by Cecconi et al. The suggested list of line labels under the em.line branch is not included. A general solution is currently under study to deal with lists of element instances such spectral lines, chemical elements, elementary particles, etc. using either utypes or a vocabulary.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11494}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2965,"pubmed_id":null,"title":"The UCD1+ controlled vocabulary Version 1.3 Version 1.3","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0527M","authors":"Martinez, Andrea Preite; Louys, Mireille; Cecconi, Baptiste; Derriere, Sebastien; Ochsenbein, François; IVOA Semantic Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.375Z","updated_at":"2021-09-30T08:28:05.375Z"}],"licence_links":[],"grants":[{"id":7351,"fairsharing_record_id":1386,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.614Z","updated_at":"2021-09-30T09:28:34.614Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7352,"fairsharing_record_id":1386,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:28:34.658Z","updated_at":"2021-09-30T09:28:34.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1387","type":"fairsharing_records","attributes":{"created_at":"2021-01-12T11:38:13.000Z","updated_at":"2022-07-20T11:11:12.935Z","metadata":{"name":"Minimum Information about a Digital Specimen","status":"in_development","contacts":[{"contact_name":"Alex Hardisty","contact_email":"HardistyAR@cardiff.ac.uk"}],"homepage":"https://github.com/tdwg/mids","identifier":1387,"description":"The Minimum Information about a Digital Specimen (MIDS) guidelines, currently in development, specifies the information elements expected to be present when providing access to specimens within a digital framework They are intended to provide a harmonizing framework captured as a TDWG standard that can help clarify levels (depth) of digitization and the minimum information captured and published at each level. This would help to ensure that enough data are captured, curated and published against specific requirements so they are useful for the widest range of possible purposes; as well as making it easier to consistently measure the extent of digitization achieved over time and to set priorities for remaining work. Such a framework would also be beneficial for 'born digital' specimens where digital data is captured from the outset, beginning with the gathering event.","abbreviation":"MIDS","support_links":[{"url":"EHaston@rbge.org.uk","name":"Elspeth Haston","type":"Support email"},{"url":"https://github.com/tdwg/mids/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2018},"legacy_ids":["bsg-001576","bsg-s001576"],"name":"FAIRsharing record for: Minimum Information about a Digital Specimen","abbreviation":"MIDS","url":"https://fairsharing.org/fairsharing_records/1387","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Digital Specimen (MIDS) guidelines, currently in development, specifies the information elements expected to be present when providing access to specimens within a digital framework They are intended to provide a harmonizing framework captured as a TDWG standard that can help clarify levels (depth) of digitization and the minimum information captured and published at each level. This would help to ensure that enough data are captured, curated and published against specific requirements so they are useful for the widest range of possible purposes; as well as making it easier to consistently measure the extent of digitization achieved over time and to set priorities for remaining work. Such a framework would also be beneficial for 'born digital' specimens where digital data is captured from the outset, beginning with the gathering event.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Natural Science"],"domains":["Resource collection","Digital curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7353,"fairsharing_record_id":1387,"organisation_id":1846,"relation":"maintains","created_at":"2021-09-30T09:28:34.697Z","updated_at":"2021-09-30T09:28:34.697Z","grant_id":null,"is_lead":true,"saved_state":{"id":1846,"name":"Minimum Information about a Digital Specimen (MIDS) Task Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1388","type":"fairsharing_records","attributes":{"created_at":"2020-04-09T23:23:45.000Z","updated_at":"2023-03-14T17:50:26.472Z","metadata":{"name":"Reporting guidelines to increase the reproducibility and comparability of research on microplastics","status":"in_development","contacts":[{"contact_name":"Win Cowger","contact_email":"wcowg001@ucr.edu","contact_orcid":"0000-0001-9226-3104"}],"homepage":"https://osf.io/jdmex/","citations":[{"publication_id":2974}],"identifier":1388,"description":"The aim of these reporting guidelines is to inform the critical method components which should be reported to reproduce a study. These can be used to develop databases for studies, develop new methodologies that better control for these factors, and referenced when publishing to ensure that a study is reproducible. We have formatted the documentation into a summarized and detailed version. We expect that the detailed documentation will be especially useful for new microplastic practitioners who are just entering the field. As well, the summarized versions of the documentation will be useful for practitioners who know the field well. These are living documents hosted on Open Science Framework to allow for comments on the microplastic reporting guidelines. All reporting guideline documents are open access and hold a CC By 4.0 license.","abbreviation":null,"support_links":[{"url":"https://osf.io/jdmex/","name":"Open Science Framework","type":"Help documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://osf.io/jdmex/","name":"Reporting guidelines to increase the reproducibility and comparability of research on microplastics 1"}]},"legacy_ids":["bsg-001463","bsg-s001463"],"name":"FAIRsharing record for: Reporting guidelines to increase the reproducibility and comparability of research on microplastics","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/1388","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of these reporting guidelines is to inform the critical method components which should be reported to reproduce a study. These can be used to develop databases for studies, develop new methodologies that better control for these factors, and referenced when publishing to ensure that a study is reproducible. We have formatted the documentation into a summarized and detailed version. We expect that the detailed documentation will be especially useful for new microplastic practitioners who are just entering the field. As well, the summarized versions of the documentation will be useful for practitioners who know the field well. These are living documents hosted on Open Science Framework to allow for comments on the microplastic reporting guidelines. All reporting guideline documents are open access and hold a CC By 4.0 license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science","Ecology"],"domains":["Environmental contaminant"],"taxonomies":["Not applicable"],"user_defined_tags":["microplastic","plastic","plastic pollution"],"countries":["United States"],"publications":[{"id":2974,"pubmed_id":null,"title":"Reporting Guidelines to Increase the Reproducibility and Comparability of Research on Microplastics","year":2020,"url":"https://journals.sagepub.com/doi/10.1177/0003702820930292","authors":"W.Cowger, A.M.Booth, B. M.Hamilton, C.Thaysen, S.Primpke, K.Munno, A.L.Lusher, A.Dehaut, V.P.Vaz, M.Liboiron, L.I.Devriese, L.Hermabessiere, C.Rochman, S.N.Athey, J.M.Lynch, H.De Frond, A.Gray, O.A.H.Jones, S.Brander, C.Steele, S.Moore, A.Sanchez, H.Nel","journal":"Applied Spectroscopy","doi":null,"created_at":"2021-09-30T08:28:06.466Z","updated_at":"2021-09-30T08:28:06.466Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":135,"relation":"undefined"}],"grants":[{"id":7354,"fairsharing_record_id":1388,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:28:34.733Z","updated_at":"2021-09-30T09:28:34.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7355,"fairsharing_record_id":1388,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:34.775Z","updated_at":"2021-09-30T09:31:01.850Z","grant_id":985,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Graduate Research Fellowship","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1380","type":"fairsharing_records","attributes":{"created_at":"2020-09-28T12:26:15.000Z","updated_at":"2022-07-20T12:40:52.340Z","metadata":{"doi":"10.25504/FAIRsharing.21a6c6","name":"NABON Breast Cancer Audit - Radiotherapy","status":"ready","contacts":[{"contact_name":"DICA Servicedesk","contact_email":"fair@mrdm.nl"},{"contact_name":"DICA information analysis","contact_email":"informatieanalyse@dica.nl","contact_orcid":null}],"homepage":"https://github.com/mrdm-nl/dica-set-nbcar","citations":[],"identifier":1380,"description":"The NABON Breast Cancer Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of breast carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the NBCA-R data.","abbreviation":"NBCA-R","support_links":[{"url":"https://support.mrdm.nl/","name":"Support website","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001530","bsg-s001530"],"name":"FAIRsharing record for: NABON Breast Cancer Audit - Radiotherapy","abbreviation":"NBCA-R","url":"https://fairsharing.org/10.25504/FAIRsharing.21a6c6","doi":"10.25504/FAIRsharing.21a6c6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NABON Breast Cancer Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of breast carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the NBCA-R data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Oncology","Medical Physics","Biomedical Science","Radiobiology"],"domains":["Cancer","Tumor","Patient care","Radiotherapy","Mammary gland"],"taxonomies":["Homo sapiens"],"user_defined_tags":["axilla","breast","Breast cancer","dose","Dose Volume Histogram","fraction","lymph nodes"],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"DICA License and Terms of Use","licence_id":242,"licence_url":"http://dica.nl/media/2033/20190425%20DCRA%20ENG%20reglement.pdf","link_id":2457,"relation":"applies_to_content"}],"grants":[{"id":8490,"fairsharing_record_id":1380,"organisation_id":1906,"relation":"collaborates_on","created_at":"2021-10-04T20:37:58.141Z","updated_at":"2021-10-04T20:37:58.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1906,"name":"MRDM","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":7335,"fairsharing_record_id":1380,"organisation_id":2111,"relation":"collaborates_on","created_at":"2021-09-30T09:28:34.123Z","updated_at":"2021-10-04T20:37:58.250Z","grant_id":null,"is_lead":false,"saved_state":{"id":2111,"name":"Nederlandse Vereniging voor Radiotherapie en Oncologie (NVRO)","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":7334,"fairsharing_record_id":1380,"organisation_id":795,"relation":"maintains","created_at":"2021-09-30T09:28:34.088Z","updated_at":"2021-10-04T20:37:58.165Z","grant_id":null,"is_lead":true,"saved_state":{"id":795,"name":"Dutch Institute for Clinical Auditing (DICA)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1381","type":"fairsharing_records","attributes":{"created_at":"2019-12-18T11:14:58.000Z","updated_at":"2022-08-08T08:04:02.856Z","metadata":{"doi":"10.25504/FAIRsharing.gVJjIW","name":"NeuroNames","status":"ready","contacts":[{"contact_name":"Douglas M. Bowden, MD","contact_email":"dmbowden@u.washington.edu"}],"homepage":"http://braininfo.org/Nnont.aspx","citations":[{"doi":"10.1007/s12021-011-9128-8","pubmed_id":21789500,"publication_id":2668}],"identifier":1381,"description":"The NeuroNames ontology is designed to accommodate all of the English and Latin names (words and multiword terms) used by neuroscientists to reference all neuroanatomic concepts (word definitions and images) in the neuroscience literature of the last 50 years. Every name is classified as either a standard name or a synonym for the concept it represents. Some synonyms (multiple names for the same structure) are also homonyms (same name for different structures). Later the names for approximately 1000 structures encountered in neuroanatomic textbooks of six other languages were incorporated: French, German, Italian, Indonesian, Russian, and Spanish. Since 1992, the entire NeuroNames name set has been a regularly updated Source Vocabulary for the National Library of Medicine’s Unified Medical Language System under the abbreviation NN-. PubMed uses the synonym lists of NeuroNames to retrieve abstracts of articles in which authors have used different names for a structure than the search term submitted by the user.","abbreviation":"NN","support_links":[{"url":"http://braininfo.org/NeuroNames%20JSON%20Manual.pdf","name":"NeuroNames JSON Manual (PDF)","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001422","bsg-s001422"],"name":"FAIRsharing record for: NeuroNames","abbreviation":"NN","url":"https://fairsharing.org/10.25504/FAIRsharing.gVJjIW","doi":"10.25504/FAIRsharing.gVJjIW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NeuroNames ontology is designed to accommodate all of the English and Latin names (words and multiword terms) used by neuroscientists to reference all neuroanatomic concepts (word definitions and images) in the neuroscience literature of the last 50 years. Every name is classified as either a standard name or a synonym for the concept it represents. Some synonyms (multiple names for the same structure) are also homonyms (same name for different structures). Later the names for approximately 1000 structures encountered in neuroanatomic textbooks of six other languages were incorporated: French, German, Italian, Indonesian, Russian, and Spanish. Since 1992, the entire NeuroNames name set has been a regularly updated Source Vocabulary for the National Library of Medicine’s Unified Medical Language System under the abbreviation NN-. PubMed uses the synonym lists of NeuroNames to retrieve abstracts of articles in which authors have used different names for a structure than the search term submitted by the user.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neuroscience"],"domains":["Bioimaging"],"taxonomies":["Homo sapiens","Macaca","Mus","Rattus"],"user_defined_tags":["Central nervous system","Neuroanatomy","Neuroinformatics"],"countries":["United States"],"publications":[{"id":2668,"pubmed_id":21789500,"title":"NeuroNames: an ontology for the BrainInfo portal to neuroscience on the web.","year":2011,"url":"http://doi.org/10.1007/s12021-011-9128-8","authors":"Bowden DM, Song E, Kosheleva J, Dubach MF","journal":"Neuroinformatics","doi":"10.1007/s12021-011-9128-8","created_at":"2021-09-30T08:27:27.588Z","updated_at":"2021-09-30T08:27:27.588Z"},{"id":3009,"pubmed_id":null,"title":"Informatics for Interoperability of Molecular-Genetic and Neurobehavioral Databases","year":2018,"url":"https://www.elsevier.com/books/molecular-genetic-and-statistical-techniques-for-behavioral-and-neural-research/gerlai/978-0-12-804078-2","authors":"Bowden D.M., Dubach M.F., Dong E.","journal":"Chapter 2: Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research (ed Gerlai, RT)","doi":null,"created_at":"2021-09-30T08:28:10.982Z","updated_at":"2021-09-30T08:28:10.982Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2023,"relation":"undefined"}],"grants":[{"id":7339,"fairsharing_record_id":1381,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:28:34.261Z","updated_at":"2021-09-30T09:28:34.261Z","grant_id":null,"is_lead":true,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7336,"fairsharing_record_id":1381,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:34.175Z","updated_at":"2021-09-30T09:29:17.760Z","grant_id":182,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"LM/OD-06243","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7338,"fairsharing_record_id":1381,"organisation_id":1274,"relation":"funds","created_at":"2021-09-30T09:28:34.226Z","updated_at":"2021-09-30T09:29:42.812Z","grant_id":371,"is_lead":false,"saved_state":{"id":1274,"name":"Human Brain Project","grant":"MHO69259","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9263,"fairsharing_record_id":1381,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.314Z","updated_at":"2022-04-11T12:07:26.328Z","grant_id":1482,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"RR-00166","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1382","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T10:12:35.000Z","updated_at":"2022-12-14T08:18:14.076Z","metadata":{"doi":"10.25504/FAIRsharing.7E950R","name":"VOResource - an XML Encoding Schema for IVOA Resource Metadata","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/VOResource/index.html","citations":[{"publication_id":2960}],"identifier":1382,"description":"VOResource is an XML encoding standard for IVOA Resource Metadata. This schema is primarily intended to support metadata exchange between and resource discovery in interoperable registries. However, any application that needs to describe resources may use this schema. In this document, we define the types and elements that make up the schema in close alignment to the metadata terms defined in Resource Metadata for the Virtual Observatory, but also taking into account other metadata standards as well as experiences from the operation of the VO Registry. We also describe the general model for the schema and explain how it may be extended to add new metadata terms and describe more specific types of resources.","abbreviation":"VOResource","support_links":[{"url":"http://www.ivoa.net/documents/VOResource/20171107/PR-VOResource-1.1-20171107.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOResourceNext","name":"VOResource - Next Steps (Wiki)","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOResource11RFC","name":"VOResource - RFC (Wiki)","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001201","bsg-s001201"],"name":"FAIRsharing record for: VOResource - an XML Encoding Schema for IVOA Resource Metadata","abbreviation":"VOResource","url":"https://fairsharing.org/10.25504/FAIRsharing.7E950R","doi":"10.25504/FAIRsharing.7E950R","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOResource is an XML encoding standard for IVOA Resource Metadata. This schema is primarily intended to support metadata exchange between and resource discovery in interoperable registries. However, any application that needs to describe resources may use this schema. In this document, we define the types and elements that make up the schema in close alignment to the metadata terms defined in Resource Metadata for the Virtual Observatory, but also taking into account other metadata standards as well as experiences from the operation of the VO Registry. We also describe the general model for the schema and explain how it may be extended to add new metadata terms and describe more specific types of resources.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11489},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13356}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2960,"pubmed_id":null,"title":"VOResource: an XML Encoding Schema for Resource Metadata Version 1.1","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0625P","authors":"Plante, Raymond; Demleitner, Markus; Benson, Kevin; Graham, Matthew; Greene, Gretchen; Harrison, Paul; Lemson, Gerard; Linde, Tony; Rixon, Guy","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.793Z","updated_at":"2021-09-30T08:28:04.793Z"}],"licence_links":[],"grants":[{"id":7340,"fairsharing_record_id":1382,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.285Z","updated_at":"2021-09-30T09:28:34.285Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7341,"fairsharing_record_id":1382,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:34.309Z","updated_at":"2021-09-30T09:28:34.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1383","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T12:42:48.000Z","updated_at":"2022-12-14T08:17:45.956Z","metadata":{"doi":"10.25504/FAIRsharing.g2ChgH","name":"VOTable Format Definition","status":"ready","contacts":[{"contact_name":"Applications Working Group","contact_email":"apps@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/VOTable/","citations":[{"publication_id":2930}],"identifier":1383,"description":"Astronomers have always been at the forefront of developments in information technology, and funding agencies across the world have recognized this by supporting the Virtual Observatory movement, in the hopes that other sciences and business can follow their lead in making online data both interoperable and scalable. VOTable is designed as a flexible storage and exchange format for tabular data, with particular emphasis on astronomical tables. The VOTable format is an XML standard for the interchange of data represented as a set of tables. In this context, a table is an unordered set of rows, each of a uniform structure, as specified in the table description (the table metadata). Each row in a table is a sequence of table cells, and each of these contains either a primitive data type, or an array of such primitives. VOTable is derived from the Astrores format, itself modeled on the FITS Table format; VOTable was designed to be close to the FITS Binary Table format.","abbreviation":"VOTable","support_links":[{"url":"m.b.taylor@bristol.ac.uk","name":"M. Taylor","type":"Support email"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOTableIssues13","name":"Issues with version 1.3","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001144","bsg-s001144"],"name":"FAIRsharing record for: VOTable Format Definition","abbreviation":"VOTable","url":"https://fairsharing.org/10.25504/FAIRsharing.g2ChgH","doi":"10.25504/FAIRsharing.g2ChgH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Astronomers have always been at the forefront of developments in information technology, and funding agencies across the world have recognized this by supporting the Virtual Observatory movement, in the hopes that other sciences and business can follow their lead in making online data both interoperable and scalable. VOTable is designed as a flexible storage and exchange format for tabular data, with particular emphasis on astronomical tables. The VOTable format is an XML standard for the interchange of data represented as a set of tables. In this context, a table is an unordered set of rows, each of a uniform structure, as specified in the table description (the table metadata). Each row in a table is a sequence of table cells, and each of these contains either a primitive data type, or an array of such primitives. VOTable is derived from the Astrores format, itself modeled on the FITS Table format; VOTable was designed to be close to the FITS Binary Table format.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11491}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Integration","Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France","Germany","United Kingdom","United States"],"publications":[{"id":2930,"pubmed_id":null,"title":"VOTable Format Definition Version 1.3","year":2013,"url":"http://dx.doi.org/10.5479/ADS/bib/2013ivoa.spec.0920O","authors":"Ochsenbein, Francois; Taylor, Mark; Williams, Roy; Davenhall, Clive; Demleitner, Markus; Durand, Daniel; Fernique, Pierre; Giaretta, David; Hanisch, Robert; McGlynn, Tom; Szalay, Alex; Wicenec, Andreas","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:00.966Z","updated_at":"2021-09-30T08:28:00.966Z"}],"licence_links":[],"grants":[{"id":7343,"fairsharing_record_id":1383,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:34.360Z","updated_at":"2021-09-30T09:28:34.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7342,"fairsharing_record_id":1383,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.336Z","updated_at":"2021-09-30T09:28:34.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1367","type":"fairsharing_records","attributes":{"created_at":"2015-07-22T11:39:04.000Z","updated_at":"2022-07-20T12:35:42.118Z","metadata":{"doi":"10.25504/FAIRsharing.1t5ws6","name":"Data Documentation Initiative Lifecycle","status":"ready","contacts":[{"contact_name":"Wendy Thomas","contact_email":"wlt@umn.edu","contact_orcid":"0000-0003-1294-4490"}],"homepage":"https://ddialliance.org/Specification/DDI-Lifecycle/3.3/","identifier":1367,"description":"Data Documentation Initiative (DDI) Lifecycle (DDI-Lifecycle, DDI-L) is designed to document and manage data across the entire life cycle, from conceptualization to data publication, analysis and beyond. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world. It encompasses all of the DDI-Codebook specification and extends it. Based on XML Schemas, DDI-Lifecycle is modular and extensible.","abbreviation":"DDI-Lifecycle","support_links":[{"url":"http://www.ddialliance.org/contact-us","name":"Contact Form","type":"Contact form"},{"url":"ddi@icpsr.umich.edu","name":"General Contact","type":"Support email"},{"url":"http://www.ddialliance.org/resources/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ddialliance.org/Specification/DDI-Lifecycle/3.3/DDI_3_3_2020-04-15.zip","name":"Download Documentation (ZIP)","type":"Help documentation"},{"url":"http://www.ddialliance.org/system/files/DDI%203.2%20Best%20Practices_0.pdf","name":"Implementation Guide","type":"Help documentation"},{"url":"https://ddi-lifecycle-technical-guide.readthedocs.io/en/latest/","name":"Technical Guide","type":"Help documentation"},{"url":"https://ddialliance.github.io/ddimodel-web/DDI-L-3.3/","name":"DDI-L Model Documentation v3.3","type":"Github"},{"url":"http://www.ddialliance.org/training/training-library","name":"Training Library","type":"Training documentation"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"}],"year_creation":2008,"associated_tools":[{"url":"http://www.ddialliance.org/resources/tools","name":"DDI Tools"}]},"legacy_ids":["bsg-000605","bsg-s000605"],"name":"FAIRsharing record for: Data Documentation Initiative Lifecycle","abbreviation":"DDI-Lifecycle","url":"https://fairsharing.org/10.25504/FAIRsharing.1t5ws6","doi":"10.25504/FAIRsharing.1t5ws6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Documentation Initiative (DDI) Lifecycle (DDI-Lifecycle, DDI-L) is designed to document and manage data across the entire life cycle, from conceptualization to data publication, analysis and beyond. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world. It encompasses all of the DDI-Codebook specification and extends it. Based on XML Schemas, DDI-Lifecycle is modular and extensible.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18234},{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17358},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10996},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13360},{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13362}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Economics","Social Science","Health Science","Social and Behavioural Science","Biomedical Science"],"domains":["Questionnaire","Study design","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1417,"pubmed_id":null,"title":"The data documentation initiative: a preservation standard for research","year":2007,"url":"http://doi.org/10.1007/s10502-006-9036-0","authors":"Rasmussen KB, Blank G","journal":"Archival Science","doi":"10.1007/s10502-006-9036-0","created_at":"2021-09-30T08:24:58.326Z","updated_at":"2021-09-30T08:24:58.326Z"},{"id":1421,"pubmed_id":null,"title":"The Data Documentation Initiative The Value and Significance of a Worldwide Standard","year":2004,"url":"https://doi.org/10.1177/0894439304263144","authors":"Blank G","journal":"Social Science Computer Review","doi":null,"created_at":"2021-09-30T08:24:58.836Z","updated_at":"2021-09-30T11:28:32.534Z"},{"id":2433,"pubmed_id":null,"title":"Data Documentation Initiative: Toward a Standard for the Social Sciences","year":2008,"url":"http://doi.org/10.2218/ijdc.v3i1.45","authors":"Mary Vardigan, Pascal Heus, Wendy Thomas","journal":"International Journal of Digital Curation","doi":"10.2218/ijdc.v3i1.45","created_at":"2021-09-30T08:26:58.529Z","updated_at":"2021-09-30T08:26:58.529Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1638,"relation":"undefined"}],"grants":[{"id":7306,"fairsharing_record_id":1367,"organisation_id":649,"relation":"funds","created_at":"2021-09-30T09:28:33.290Z","updated_at":"2021-09-30T09:28:33.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7307,"fairsharing_record_id":1367,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:33.318Z","updated_at":"2021-09-30T09:32:37.980Z","grant_id":1709,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"SBR-9617813","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7305,"fairsharing_record_id":1367,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:28:33.267Z","updated_at":"2021-09-30T09:28:33.267Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1368","type":"fairsharing_records","attributes":{"created_at":"2020-04-25T14:05:16.000Z","updated_at":"2022-07-20T13:08:22.263Z","metadata":{"doi":"10.25504/FAIRsharing.69226e","name":"Humanities and Social Science Electronic Thesaurus","status":"ready","contacts":[{"contact_name":"Matthew Woollard","contact_email":"matthew@essex.ac.uk","contact_orcid":"0000-0002-1077-4312"}],"homepage":"https://hasset.ukdataservice.ac.uk/","identifier":1368,"description":"The Humanities and Social Science Electronic Thesaurus (HASSET) is the leading British English thesaurus for the social sciences. HASSET has been compiled at the UK Data Archive for over forty years. It was developed initially as an information retrieval tool to access data deposited in the UK Data Archive. Its scope has now expanded to cover the collections held by the UK Data Service.","abbreviation":"HASSET","support_links":[{"url":"https://www.ukdataservice.ac.uk/news-and-events.aspx","name":"News \u0026 events","type":"Blog/News"},{"url":"https://www.linkedin.com/company/uk-data-service/?originalSubdomain=uk","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.facebook.com/UKDataService","name":"Facebook","type":"Facebook"},{"url":"https://www.ukdataservice.ac.uk/help/get-in-touch.aspx","name":"Get in touch","type":"Help documentation"},{"url":"https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=UKDATASERVICE","type":"Mailing list"},{"url":"https://www.youtube.com/user/UKDATASERVICE","name":"Youtube","type":"Video"},{"url":"https://twitter.com/UKDataService","type":"Twitter"}],"year_creation":2012},"legacy_ids":["bsg-001465","bsg-s001465"],"name":"FAIRsharing record for: Humanities and Social Science Electronic Thesaurus","abbreviation":"HASSET","url":"https://fairsharing.org/10.25504/FAIRsharing.69226e","doi":"10.25504/FAIRsharing.69226e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Humanities and Social Science Electronic Thesaurus (HASSET) is the leading British English thesaurus for the social sciences. HASSET has been compiled at the UK Data Archive for over forty years. It was developed initially as an information retrieval tool to access data deposited in the UK Data Archive. Its scope has now expanded to cover the collections held by the UK Data Service.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12559}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Environmental Science","Demographics","Social Science","Health Science","Public Law","Biomedical Science","Political Science","Epidemiology","Communication Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Sociology"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":661,"relation":"undefined"}],"grants":[{"id":7309,"fairsharing_record_id":1368,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:28:33.367Z","updated_at":"2021-09-30T09:28:33.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7308,"fairsharing_record_id":1368,"organisation_id":2902,"relation":"funds","created_at":"2021-09-30T09:28:33.342Z","updated_at":"2021-09-30T09:28:33.342Z","grant_id":null,"is_lead":false,"saved_state":{"id":2902,"name":"UK Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7310,"fairsharing_record_id":1368,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:33.393Z","updated_at":"2021-09-30T09:28:33.393Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7311,"fairsharing_record_id":1368,"organisation_id":1600,"relation":"maintains","created_at":"2021-09-30T09:28:33.418Z","updated_at":"2021-09-30T09:28:33.418Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1395","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T15:41:21.000Z","updated_at":"2021-11-24T13:16:34.922Z","metadata":{"doi":"10.25504/FAIRsharing.hp9s46","name":"Climate and Forecast metadata conventions","status":"ready","contacts":[{"contact_name":"Jonathan Gregory","contact_email":"j.m.gregory@reading.ac.uk"}],"homepage":"http://cfconventions.org","identifier":1395,"description":"Climate and Forecast metadata conventions define metadata that provide a definitive description of what the data in each variable represents, and the spatial and temporal properties of the data. This enables users of data from different sources to decide which quantities are comparable, and facilitates building applications with powerful extraction, regridding, and display capabilities. The CF conventions generalise and extend the COARDS conventions","abbreviation":"CF metadata convention","support_links":[{"url":"http://cfconventions.org/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cfconventions.org/latest.html","name":"Latest CV Convention Documents","type":"Help documentation"},{"url":"http://cfconventions.org/Data/cf-documents/overview/viewgraphs.pdf","name":"online document","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-000709","bsg-s000709"],"name":"FAIRsharing record for: Climate and Forecast metadata conventions","abbreviation":"CF metadata convention","url":"https://fairsharing.org/10.25504/FAIRsharing.hp9s46","doi":"10.25504/FAIRsharing.hp9s46","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Climate and Forecast metadata conventions define metadata that provide a definitive description of what the data in each variable represents, and the spatial and temporal properties of the data. This enables users of data from different sources to decide which quantities are comparable, and facilitates building applications with powerful extraction, regridding, and display capabilities. The CF conventions generalise and extend the COARDS conventions","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Natural Science","Earth Science","Atmospheric Science","Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Forecasting"],"countries":["United Kingdom","United States"],"publications":[{"id":2506,"pubmed_id":null,"title":"A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1)","year":2017,"url":"https://doi.org/10.5194/gmd-10-4619-2017","authors":"Hassell, D., Gregory, J., Blower, J., Lawrence, B. N. and Taylor, K. E","journal":"Geoscientific Model Development","doi":null,"created_at":"2021-09-30T08:27:07.586Z","updated_at":"2021-09-30T11:28:36.079Z"}],"licence_links":[],"grants":[{"id":7372,"fairsharing_record_id":1395,"organisation_id":1692,"relation":"maintains","created_at":"2021-09-30T09:28:35.367Z","updated_at":"2021-09-30T09:28:35.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":1692,"name":"Lawrence Livermore National Laboratory (LLNL), USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7370,"fairsharing_record_id":1395,"organisation_id":3118,"relation":"maintains","created_at":"2021-09-30T09:28:35.315Z","updated_at":"2021-09-30T09:28:35.315Z","grant_id":null,"is_lead":false,"saved_state":{"id":3118,"name":"University of Reading, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7371,"fairsharing_record_id":1395,"organisation_id":1823,"relation":"undefined","created_at":"2021-09-30T09:28:35.336Z","updated_at":"2021-09-30T09:28:35.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":1823,"name":"Met Office, UK","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1396","type":"fairsharing_records","attributes":{"created_at":"2018-10-12T19:29:23.000Z","updated_at":"2022-07-20T12:52:22.138Z","metadata":{"doi":"10.25504/FAIRsharing.edfd85","name":"Access to Biological Collection Databases Extended for Geosciences","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@mfn-berlin.de"}],"homepage":"http://www.geocase.eu/efg","citations":[{"publication_id":15}],"identifier":1396,"description":"Access to Biological Collection Databases Extended for Geosciences (ABCDEFG) is an XML Schema developed for use with palaeontological, mineralogical and geological digitalized collection data. It extends the ABCD XML Schema used by GBIF (Global Biodiversity Information Facility).","abbreviation":"ABCDEFG","support_links":[{"url":"http://www.geocase.eu/contact","name":"GeoCASe Contact Form","type":"Contact form"},{"url":"http://www.geocase.eu/sites/default/documentation/html/efg.html","name":"Documentation for XSD","type":"Help documentation"},{"url":"https://github.com/tdwg/efg","name":"GitHub Project","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-001323","bsg-s001323"],"name":"FAIRsharing record for: Access to Biological Collection Databases Extended for Geosciences","abbreviation":"ABCDEFG","url":"https://fairsharing.org/10.25504/FAIRsharing.edfd85","doi":"10.25504/FAIRsharing.edfd85","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Access to Biological Collection Databases Extended for Geosciences (ABCDEFG) is an XML Schema developed for use with palaeontological, mineralogical and geological digitalized collection data. It extends the ABCD XML Schema used by GBIF (Global Biodiversity Information Facility).","linked_records":[],"linking_records":[{"linking_record_name":"Biological Collection Access Service","linking_record_id":4209,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14914}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Soil Science","Geology","Paleontology","Earth Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":15,"pubmed_id":null,"title":"History and development of ABCDEFG: a data standard for geosciences","year":2018,"url":"https://doi.org/10.5194/fr-21-47-2018","authors":"Petersen, M., Glöckler, F., Kiessling, W., Döring, M., Fichtmüller, D., Laphakorn, L., Baltruschat, B. \u0026 Hoffmann, J.","journal":"Fossil Record","doi":null,"created_at":"2021-09-30T08:22:22.081Z","updated_at":"2021-09-30T08:22:22.081Z"}],"licence_links":[],"grants":[{"id":7373,"fairsharing_record_id":1396,"organisation_id":1919,"relation":"maintains","created_at":"2021-09-30T09:28:35.408Z","updated_at":"2021-09-30T09:28:35.408Z","grant_id":null,"is_lead":true,"saved_state":{"id":1919,"name":"Museum fur Naturkunde, Berlin, Germany","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":7374,"fairsharing_record_id":1396,"organisation_id":977,"relation":"maintains","created_at":"2021-09-30T09:28:35.450Z","updated_at":"2021-09-30T09:28:35.450Z","grant_id":null,"is_lead":true,"saved_state":{"id":977,"name":"Extension for Geosciences (EFG) Task Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1397","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T20:41:30.000Z","updated_at":"2022-07-20T09:16:37.042Z","metadata":{"doi":"10.25504/FAIRsharing.496b25","name":"EarthResourceML","status":"ready","contacts":[{"contact_name":"Jouni Vuollo","contact_email":"jouni.vuollo@gtk.fi"}],"homepage":"http://earthresourceml.org/","citations":[],"identifier":1397,"description":"EarthResourceML is an XML-based data transfer standard for the exchange of digital information for mineral occurrences, mines and mining activity. The model describes the geological features of mineral occurrences, their commodities, mineral resources and reserves. It is also able to describe mines and mining activities, and the production of concentrates, refined products, and waste materials.","abbreviation":"ERML","support_links":[{"url":"CGIsecretariat@mail.cgs.gov.cn","name":"Support Email","type":"Support email"},{"url":"http://earthresourceml.org/earthresourceml/2.0/doc/ERML_HTML_Documentation/","name":"Documentation","type":"Help documentation"},{"url":"https://cgi-iugs.org/project/earthresourceml/","name":"About EarthResourceML","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001545","bsg-s001545"],"name":"FAIRsharing record for: EarthResourceML","abbreviation":"ERML","url":"https://fairsharing.org/10.25504/FAIRsharing.496b25","doi":"10.25504/FAIRsharing.496b25","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EarthResourceML is an XML-based data transfer standard for the exchange of digital information for mineral occurrences, mines and mining activity. The model describes the geological features of mineral occurrences, their commodities, mineral resources and reserves. It is also able to describe mines and mining activities, and the production of concentrates, refined products, and waste materials.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geology","Mineralogy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Mining"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7375,"fairsharing_record_id":1397,"organisation_id":564,"relation":"maintains","created_at":"2021-09-30T09:28:35.510Z","updated_at":"2021-09-30T09:28:35.510Z","grant_id":null,"is_lead":true,"saved_state":{"id":564,"name":"Commission for the Management and Application of Geoscience Information (CGI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1398","type":"fairsharing_records","attributes":{"created_at":"2020-11-19T11:21:26.000Z","updated_at":"2021-11-24T13:17:43.507Z","metadata":{"doi":"10.25504/FAIRsharing.1943d4","name":"Comma-separated Values","status":"ready","homepage":"https://tools.ietf.org/html/rfc4180","identifier":1398,"description":"A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. The use of the comma as a field separator is the source of the name for this file format. A CSV file typically stores tabular data (numbers and text) in plain text, in which case each line will have the same number of fields.","abbreviation":"CSV","support_links":[{"url":"https://github.com/w3c/csvw","name":"W3C csv WG documentation","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-001546","bsg-s001546"],"name":"FAIRsharing record for: Comma-separated Values","abbreviation":"CSV","url":"https://fairsharing.org/10.25504/FAIRsharing.1943d4","doi":"10.25504/FAIRsharing.1943d4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. The use of the comma as a field separator is the source of the name for this file format. A CSV file typically stores tabular data (numbers and text) in plain text, in which case each line will have the same number of fields.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14729}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7376,"fairsharing_record_id":1398,"organisation_id":3200,"relation":"maintains","created_at":"2021-09-30T09:28:35.547Z","updated_at":"2021-09-30T09:28:35.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":3200,"name":"W3C - CSV on the Web Community Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1399","type":"fairsharing_records","attributes":{"created_at":"2020-05-26T09:27:07.000Z","updated_at":"2022-07-20T09:20:05.233Z","metadata":{"doi":"10.25504/FAIRsharing.d7d475","name":"Evaluated Nuclear Data File","status":"ready","contacts":[{"contact_name":"David Brown","contact_email":"dbrown@bnl.gov"}],"homepage":"https://www.oecd-nea.org/dbdata/data/manual-endf/endf102.pdf","citations":[],"identifier":1399,"description":"To ensure a level of quality required to protect the public, experimental nuclear data results are occasionally evaluated by a Nuclear Data Organization to form a standard nuclear data library. These organizations review multiple measurements and agree upon the highest-quality measurements before publishing the libraries. For unmeasured or very complex data regimes, the parameters of nuclear models are adjusted until the resulting data matches well with critical experiments. The result of an evaluation is almost universally stored as a set of data files in Evaluated Nuclear Data File (ENDF) format.","abbreviation":"ENDF","year_creation":2006},"legacy_ids":["bsg-001484","bsg-s001484"],"name":"FAIRsharing record for: Evaluated Nuclear Data File","abbreviation":"ENDF","url":"https://fairsharing.org/10.25504/FAIRsharing.d7d475","doi":"10.25504/FAIRsharing.d7d475","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To ensure a level of quality required to protect the public, experimental nuclear data results are occasionally evaluated by a Nuclear Data Organization to form a standard nuclear data library. These organizations review multiple measurements and agree upon the highest-quality measurements before publishing the libraries. For unmeasured or very complex data regimes, the parameters of nuclear models are adjusted until the resulting data matches well with critical experiments. The result of an evaluation is almost universally stored as a set of data files in Evaluated Nuclear Data File (ENDF) format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Nuclear Medicine","Data Quality","Virology","Biomedical Science","Epidemiology"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19","Nuclear physics"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7377,"fairsharing_record_id":1399,"organisation_id":326,"relation":"maintains","created_at":"2021-09-30T09:28:35.584Z","updated_at":"2022-07-11T08:34:59.525Z","grant_id":null,"is_lead":true,"saved_state":{"id":326,"name":"Brookhaven National Laboratory","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1522","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:22:57.089Z","metadata":{"doi":"10.25504/FAIRsharing.85k1jm","name":"International Classification of Diseases Version 10 - Procedure Coding System","status":"ready","contacts":[{"contact_name":"Pat Brooks","contact_email":"patricia.brooks2@cms.hhs.gov"}],"homepage":"https://www.cms.gov/Medicare/Coding/ICD10/2020-ICD-10-PCS","identifier":1522,"description":"The ICD-10 Procedure Coding System (ICD-10-PCS) is an international system of medical classification used for procedural coding. The ICD-10-PCS is a procedure classification published by the United States for classifying procedures performed in hospital inpatient health care settings. The ICD-10-PCS replaces the procedural coding portion (Volume 3) of ICD-9-CM.","abbreviation":"ICD-10-PCS","support_links":[{"url":"https://www.cms.gov/Medicare/Coding/ICD10/Downloads/2020-ICD-10-PCS-Guidelines.pdf","name":"ICD-10-PCS Guidelines","type":"Help documentation"},{"url":"https://www.cms.gov/Medicare/Coding/ICD10/Downloads/2020-PCS-Update-Summary-.pdf","name":"ICD-10-PCS 2020 Version Update Summary","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ICD-10_Procedure_Coding_System","name":"ICD-10-PCS Wikipedia entry","type":"Wikipedia"}],"year_creation":2014},"legacy_ids":["bsg-002650","bsg-s002650"],"name":"FAIRsharing record for: International Classification of Diseases Version 10 - Procedure Coding System","abbreviation":"ICD-10-PCS","url":"https://fairsharing.org/10.25504/FAIRsharing.85k1jm","doi":"10.25504/FAIRsharing.85k1jm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICD-10 Procedure Coding System (ICD-10-PCS) is an international system of medical classification used for procedural coding. The ICD-10-PCS is a procedure classification published by the United States for classifying procedures performed in hospital inpatient health care settings. The ICD-10-PCS replaces the procedural coding portion (Volume 3) of ICD-9-CM.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12021},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12452}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science","Epidemiology"],"domains":["Electronic health record","Hospital","Disease","Diagnosis","Classification","Morbidity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7623,"fairsharing_record_id":1522,"organisation_id":443,"relation":"maintains","created_at":"2021-09-30T09:28:44.063Z","updated_at":"2021-09-30T09:28:44.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":443,"name":"Centers for Medicare \u0026 Medicaid Services (CMS), Department of Health and Human Services (HHS), Baltimore, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1524","type":"fairsharing_records","attributes":{"created_at":"2021-03-26T14:08:24.000Z","updated_at":"2023-03-23T13:56:01.314Z","metadata":{"name":"EJP RD Metadata model","status":"in_development","contacts":[{"contact_name":"Rajaram Kaliyaperumal","contact_email":"r.kaliyaperumal@lumc.nl","contact_orcid":"0000-0002-1215-167X"}],"homepage":"https://github.com/ejp-rd-vp/resource-metadata-schema","citations":[],"identifier":1524,"description":"As part of the European Joint Programme (EJP) for Rare Disease, we are developing standards for rare disease registries to describe their metadata that will improve the FAIR-ness of these resources. The core model is designed to represent data about a rare disease patient and biosample registries. The model is based on and builds on existing standards, such as the European Rare Disease Registry Infrastructure and the Common Data Elements from the rare disease community and other more generalised standards for data sharing such as the W3C DCAT vocabulary. We are also working to align with similar schema standarisation efforts such as RD connect semantic model, schema.org, bioschemas, MIABIS and GA4GH (see also schema blocks and phenopackets.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001602","bsg-s001602"],"name":"FAIRsharing record for: EJP RD Metadata model","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/1524","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As part of the European Joint Programme (EJP) for Rare Disease, we are developing standards for rare disease registries to describe their metadata that will improve the FAIR-ness of these resources. The core model is designed to represent data about a rare disease patient and biosample registries. The model is based on and builds on existing standards, such as the European Rare Disease Registry Infrastructure and the Common Data Elements from the rare disease community and other more generalised standards for data sharing such as the W3C DCAT vocabulary. We are also working to align with similar schema standarisation efforts such as RD connect semantic model, schema.org, bioschemas, MIABIS and GA4GH (see also schema blocks and phenopackets.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17641}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Clinical Studies"],"domains":["Rare disease","Biological sample"],"taxonomies":["Homo sapiens"],"user_defined_tags":["registry"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":207,"relation":"undefined"}],"grants":[{"id":7626,"fairsharing_record_id":1524,"organisation_id":834,"relation":"maintains","created_at":"2021-09-30T09:28:44.143Z","updated_at":"2021-09-30T09:28:44.143Z","grant_id":null,"is_lead":true,"saved_state":{"id":834,"name":"EJP RD","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1525","type":"fairsharing_records","attributes":{"created_at":"2021-04-01T23:51:45.000Z","updated_at":"2022-07-20T09:57:07.949Z","metadata":{"doi":"10.25504/FAIRsharing.QxlUSp","name":"ASLS - Soil Profile classifiers","status":"ready","contacts":[{"contact_name":"Andrew Biggs","contact_email":"andrew.biggs@resources.qld.gov.au"},{"contact_name":"Linda Gregory","contact_email":"linda.gregory@csiro.au","contact_orcid":null}],"homepage":"https://github.com/ANZSoilData/def-au-asls-soil-prof","citations":[],"identifier":1525,"description":"Machine-readable representation of the classifiers described in chapter 8 Soil Profile, by R.C. McDonald and R.F. Isbell, in Australian soil and land survey field handbook (3rd edn). A soil profile is a vertical section of a soil from the soil surface through all its horizons to parent material, other consolidated substrate material or selected depth in unconsolidated material. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","abbreviation":"soil-prof","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SOIL-PROF","name":"SOIL-PROF","portal":"BioPortal"}]},"legacy_ids":["bsg-001603","bsg-s001603"],"name":"FAIRsharing record for: ASLS - Soil Profile classifiers","abbreviation":"soil-prof","url":"https://fairsharing.org/10.25504/FAIRsharing.QxlUSp","doi":"10.25504/FAIRsharing.QxlUSp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Machine-readable representation of the classifiers described in chapter 8 Soil Profile, by R.C. McDonald and R.F. Isbell, in Australian soil and land survey field handbook (3rd edn). A soil profile is a vertical section of a soil from the soil surface through all its horizons to parent material, other consolidated substrate material or selected depth in unconsolidated material. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["soil carbon"],"countries":["Australia"],"publications":[{"id":2514,"pubmed_id":null,"title":"Australian Soil and Land Survey Handbook (Third Edition)","year":2009,"url":"https://www.publish.csiro.au/book/5230","authors":"National Committee on Soil and Terrain","journal":"CSIRO Publishing","doi":null,"created_at":"2021-09-30T08:27:08.484Z","updated_at":"2021-09-30T08:27:08.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":2719,"relation":"applies_to_content"}],"grants":[{"id":7627,"fairsharing_record_id":1525,"organisation_id":1980,"relation":"maintains","created_at":"2021-09-30T09:28:44.184Z","updated_at":"2021-09-30T09:28:44.184Z","grant_id":null,"is_lead":false,"saved_state":{"id":1980,"name":"National Committee on Soil and Terrain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1526","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:15:23.793Z","metadata":{"doi":"10.25504/FAIRsharing.reenq1","name":"Cultural Objects Name Authority","status":"ready","contacts":[{"contact_name":"CONA Editors","contact_email":"CONA@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/cona/index.html","identifier":1526,"description":"The Cultural Objects Name Authority (CONA) compiles titles, creator attributions, physical characteristics, depicted subjects, and other metadata about visual works, such as architecture, painting, sculpture, and many other types of works. CONA may contain information about objects that are ceremonial or utilitarian in nature, but are not necessarily labeled as art according to traditional Western aesthetics. Architecture, destroyed works, and works depicted in visual surrogates or other works are also included. CONA also includes Getty Iconography Authority (IA) , which resides in the same editorial system as CONA. The IA includes proper names and other information for named events, themes and narratives from religion/mythology, legendary and fictional characters, themes from literature, works of literature and performing arts, and legendary and fictional places. CONA and IA are part of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","abbreviation":"CONA","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabularies Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/cona/faq.html","name":"CONA and IA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/cona/help.html","name":"How to Use","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/cona/about.html","name":"About","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000966","bsg-s000966"],"name":"FAIRsharing record for: Cultural Objects Name Authority","abbreviation":"CONA","url":"https://fairsharing.org/10.25504/FAIRsharing.reenq1","doi":"10.25504/FAIRsharing.reenq1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cultural Objects Name Authority (CONA) compiles titles, creator attributions, physical characteristics, depicted subjects, and other metadata about visual works, such as architecture, painting, sculpture, and many other types of works. CONA may contain information about objects that are ceremonial or utilitarian in nature, but are not necessarily labeled as art according to traditional Western aesthetics. Architecture, destroyed works, and works depicted in visual surrogates or other works are also included. CONA also includes Getty Iconography Authority (IA) , which resides in the same editorial system as CONA. The IA includes proper names and other information for named events, themes and narratives from religion/mythology, legendary and fictional characters, themes from literature, works of literature and performing arts, and legendary and fictional places. CONA and IA are part of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Art History","Architecture","Literary Studies","Art","Fine Arts","History","Cultural Studies"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":566,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":567,"relation":"undefined"}],"grants":[{"id":7628,"fairsharing_record_id":1526,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:44.226Z","updated_at":"2021-09-30T09:28:44.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1527","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:55.523Z","metadata":{"doi":"10.25504/FAIRsharing.zvytda","name":"International Classification of Primary Care Version 2 PLUS","status":"ready","contacts":[{"contact_name":"NCCH General Contact","contact_email":"ncch@sydney.edu.au"}],"homepage":"http://sydney.edu.au/health-sciences/ncch/icpc-2-plus/overview.shtml","identifier":1527,"description":"The International Classification of Primary Care Version 2 PLUS (ICPC-2 PLUS, also known as the BEACH coding system) is a clinical terminology which extends the International Classification of Primary Care, Version 2 (ICPC-2). ICPC-2 PLUS can be used in age-sex disease registers, morbidity registers and full electronic health records in primary care. Primarily used in Australia, ICPC-2 PLUS is used within software packages and electronic health record (EHR) systems. It is also used in research projects, including the BEACH (Bettering the Evaluation And Care of Health) program, the national study of general practice activity. The terminology is therefore often referred to as the BEACH coding system. ICPC-2 PLUS has been specifically designed by the FMRC for use in computerised clinical systems, recall systems, disease registers and secondary coding of clinical data. It is not part of the ICPC-2 standard. Charges apply for end users of ICPC-2 PLUS. All end users must sign an ICPC-2 PLUS end user contract before being given access to ICPC-2 PLUS. The World Organization of Family Doctors (WONCA) and the WONCA International Classification Committee (WICC) have no control over it although they do have control over the ICPC classification which the PLUS extension makes use of.","abbreviation":"ICPC-2 PLUS","support_links":[{"url":"https://en.wikipedia.org/wiki/ICPC-2_PLUS","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICPC2P","name":"ICPC2P","portal":"BioPortal"}]},"legacy_ids":["bsg-002654","bsg-s002654"],"name":"FAIRsharing record for: International Classification of Primary Care Version 2 PLUS","abbreviation":"ICPC-2 PLUS","url":"https://fairsharing.org/10.25504/FAIRsharing.zvytda","doi":"10.25504/FAIRsharing.zvytda","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Primary Care Version 2 PLUS (ICPC-2 PLUS, also known as the BEACH coding system) is a clinical terminology which extends the International Classification of Primary Care, Version 2 (ICPC-2). ICPC-2 PLUS can be used in age-sex disease registers, morbidity registers and full electronic health records in primary care. Primarily used in Australia, ICPC-2 PLUS is used within software packages and electronic health record (EHR) systems. It is also used in research projects, including the BEACH (Bettering the Evaluation And Care of Health) program, the national study of general practice activity. The terminology is therefore often referred to as the BEACH coding system. ICPC-2 PLUS has been specifically designed by the FMRC for use in computerised clinical systems, recall systems, disease registers and secondary coding of clinical data. It is not part of the ICPC-2 standard. Charges apply for end users of ICPC-2 PLUS. All end users must sign an ICPC-2 PLUS end user contract before being given access to ICPC-2 PLUS. The World Organization of Family Doctors (WONCA) and the WONCA International Classification Committee (WICC) have no control over it although they do have control over the ICPC classification which the PLUS extension makes use of.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12521}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Primary Health Care","Biomedical Science","Preclinical Studies"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"ICPC-2 PLUS Licencing and Costs","licence_id":415,"licence_url":"http://sydney.edu.au/health-sciences/ncch/icpc-2-plus/overview.shtml","link_id":1115,"relation":"undefined"}],"grants":[{"id":7629,"fairsharing_record_id":1527,"organisation_id":3130,"relation":"maintains","created_at":"2021-09-30T09:28:44.264Z","updated_at":"2021-09-30T09:28:44.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":3130,"name":"University of Sydney, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1541","type":"fairsharing_records","attributes":{"created_at":"2015-06-24T14:57:09.000Z","updated_at":"2023-09-27T15:42:49.218Z","metadata":{"doi":"10.25504/FAIRsharing.npmpqg","name":"Biomedical Research Integrated Domain Group Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"awhite@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/domain-information-module/bridg","citations":[{"doi":"10.1197/jamia.M2556","pubmed_id":18096907,"publication_id":1227}],"identifier":1541,"description":"BRIDG is a domain analysis model that represents the realm of protocol-driven clinical, pre-clinical, translational and basic research. This breadth includes concepts from Common (i.e., concepts shared by all research protocols), Protocol Representation, Study Conduct, Adverse Events, Biospecimen, Molecular Biology, Experiment, Statistical Analysis and Regulatory subdomains. These research concepts provide a shared understanding of biomedical semantics (i.e., what each concept means and how it relates to other concepts) so that these semantics can be easily understood by subject matter experts in the biomedical domain.","abbreviation":"BRIDG","support_links":[{"url":"https://bridgmodel.nci.nih.gov/faq","name":"BRIDG FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"biomedrr@lists.hl7.org","name":"HL7 BR\u0026R Listserv Mailing list","type":"Mailing list"},{"url":"https://bridgmodel.nci.nih.gov/about-bridg","name":"About BRIDG","type":"Help documentation"},{"url":"https://bridgmodel.nci.nih.gov/bridg-news","name":"Release News","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000597","bsg-s000597"],"name":"FAIRsharing record for: Biomedical Research Integrated Domain Group Model","abbreviation":"BRIDG","url":"https://fairsharing.org/10.25504/FAIRsharing.npmpqg","doi":"10.25504/FAIRsharing.npmpqg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BRIDG is a domain analysis model that represents the realm of protocol-driven clinical, pre-clinical, translational and basic research. This breadth includes concepts from Common (i.e., concepts shared by all research protocols), Protocol Representation, Study Conduct, Adverse Events, Biospecimen, Molecular Biology, Experiment, Statistical Analysis and Regulatory subdomains. These research concepts provide a shared understanding of biomedical semantics (i.e., what each concept means and how it relates to other concepts) so that these semantics can be easily understood by subject matter experts in the biomedical domain.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17339},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11203},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11809},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12057},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12482},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16964}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens","Metazoa"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1227,"pubmed_id":18096907,"title":"The BRIDG project: a technical report.","year":2007,"url":"http://doi.org/10.1197/jamia.M2556","authors":"Fridsma DB,Evans J,Hastak S,Mead CN","journal":"J Am Med Inform Assoc","doi":"10.1197/jamia.M2556","created_at":"2021-09-30T08:24:36.866Z","updated_at":"2021-09-30T08:24:36.866Z"}],"licence_links":[{"licence_name":"CDISC Intellectual Property Policy","licence_id":110,"licence_url":"https://www.cdisc.org/sites/default/files/2020-09/cdisc_policy_003_intellectual_property_v2019.pdf","link_id":902,"relation":"undefined"}],"grants":[{"id":7659,"fairsharing_record_id":1541,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:45.445Z","updated_at":"2021-09-30T09:28:45.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative, Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":10958,"fairsharing_record_id":1541,"organisation_id":4125,"relation":"undefined","created_at":"2023-09-27T15:01:03.822Z","updated_at":"2023-09-27T15:01:03.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7660,"fairsharing_record_id":1541,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:45.477Z","updated_at":"2021-09-30T09:28:45.477Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"Clinical Data Interchange Standards Consortium","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1542","type":"fairsharing_records","attributes":{"created_at":"2016-09-20T12:11:29.000Z","updated_at":"2021-11-24T13:18:48.883Z","metadata":{"doi":"10.25504/FAIRsharing.pqzyd5","name":"MultiCellular Data Standard","status":"in_development","contacts":[{"contact_name":"Samuel Friedman","contact_email":"samuel.friedman@cammlab.org","contact_orcid":"0000-0001-8003-6860"}],"homepage":"http://multicellds.org","identifier":1542,"description":"MultiCellDS (Multicellular data specification), an outgrowth of the earlier MultiCellXML project, aims to create a data standard for sharing multicellular experimental, simulation, and clinical data. Our ultimate goal is to foster a community that develops user-friendly tools that can read, write, and recombine data into better simulations and analyses for multicellular biology and predictive medicine. As part of this effort, we are developing MultiCellDB: a repository for a curated library of digital cell lines and peer-reviewed simulation and experimental data. A novel part of MultiCellDS is the digital cell line: a digital analogue of experimental cell lines that will help to collect biophysical cell line measurements coming from many research groups and make them readily accessible to an ecosystem of compatible computational models. You can learn more about digital cell lines and other core ideas on this page. We are currently preparing a draft of the upcoming MultiCellDS 1.0 specification. After a multiple rounds of comment and review by a multidisciplinary review panel and the general public, we target an October 2016 release of the data specification and software support tools.","abbreviation":"MultiCellDS","support_links":[{"url":"http://multicellds.org/Core_ideas.php","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000677","bsg-s000677"],"name":"FAIRsharing record for: MultiCellular Data Standard","abbreviation":"MultiCellDS","url":"https://fairsharing.org/10.25504/FAIRsharing.pqzyd5","doi":"10.25504/FAIRsharing.pqzyd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MultiCellDS (Multicellular data specification), an outgrowth of the earlier MultiCellXML project, aims to create a data standard for sharing multicellular experimental, simulation, and clinical data. Our ultimate goal is to foster a community that develops user-friendly tools that can read, write, and recombine data into better simulations and analyses for multicellular biology and predictive medicine. As part of this effort, we are developing MultiCellDB: a repository for a curated library of digital cell lines and peer-reviewed simulation and experimental data. A novel part of MultiCellDS is the digital cell line: a digital analogue of experimental cell lines that will help to collect biophysical cell line measurements coming from many research groups and make them readily accessible to an ecosystem of compatible computational models. You can learn more about digital cell lines and other core ideas on this page. We are currently preparing a draft of the upcoming MultiCellDS 1.0 specification. After a multiple rounds of comment and review by a multidisciplinary review panel and the general public, we target an October 2016 release of the data specification and software support tools.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16945}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Multicellular"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7662,"fairsharing_record_id":1542,"organisation_id":308,"relation":"funds","created_at":"2021-09-30T09:28:45.558Z","updated_at":"2021-09-30T09:28:45.558Z","grant_id":null,"is_lead":false,"saved_state":{"id":308,"name":"Breast Cancer Research Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1543","type":"fairsharing_records","attributes":{"created_at":"2021-04-12T18:16:08.000Z","updated_at":"2022-03-29T08:51:06.652Z","metadata":{"doi":"10.25504/FAIRsharing.7c8459","name":"Visual Syntax Method","status":"ready","contacts":[{"contact_name":"Steven Vercruysse","contact_email":"steven.vercru@gmail.com","contact_orcid":"0000-0002-3136-7353"}],"homepage":"https://vsm.github.io","citations":[{"publication_id":2492}],"identifier":1543,"description":"VSM (Visual Syntax Method) is a set of principles for representing knowledge in a form that is easily understandable by both humans and machines – esp. by people without specialization in IT or Math.\n| \n- The principles are universal, i.e. they support knowledge/thoughts/ideas on any topic, no matter the complexity.\n- The principles are elementary and intuitive; they work 'like humans think'. This makes VSM scalable, and flexible on par with natural language.\n- The principles describe how to Structure, Layout, and Interpret the meaning of a unit of knowledge 'in VSM form'; i.e. as a meaningful, precise, semi-linear structure that connects readable terms backed by semantic IDs.\n\nVSM has a supporting user-interface called 'vsm-box', for reading and entering knowledge in VSM form.\n \n| For an overview, see https://vsm.github.io\n| For a video, see https://youtu.be/0kHWBZIL04E\n| For conceptual details, see https://www.preprints.org/manuscript/202007.0486/v2\n| For technical details, see https://github.com/vsm/vsm-box/blob/master/Documentation.md","abbreviation":"VSM","support_links":[{"url":"https://github.com/vsm/vsm-box/blob/master/Documentation.md","name":"Online documentation","type":"Github"},{"url":"https://vsm.github.io/","name":"About","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=0kHWBZIL04E","name":"From a natural language sentence to a VSM semantic structure","type":"Video"}],"year_creation":2020,"associated_tools":[{"url":"https://vsm.github.io/demo","name":"VSM demo \u0026 toolkit"},{"url":"https://mi2cast.github.io/causalBuilder","name":"causalBuilder"}]},"legacy_ids":["bsg-001607","bsg-s001607"],"name":"FAIRsharing record for: Visual Syntax Method","abbreviation":"VSM","url":"https://fairsharing.org/10.25504/FAIRsharing.7c8459","doi":"10.25504/FAIRsharing.7c8459","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VSM (Visual Syntax Method) is a set of principles for representing knowledge in a form that is easily understandable by both humans and machines – esp. by people without specialization in IT or Math.\n| \n- The principles are universal, i.e. they support knowledge/thoughts/ideas on any topic, no matter the complexity.\n- The principles are elementary and intuitive; they work 'like humans think'. This makes VSM scalable, and flexible on par with natural language.\n- The principles describe how to Structure, Layout, and Interpret the meaning of a unit of knowledge 'in VSM form'; i.e. as a meaningful, precise, semi-linear structure that connects readable terms backed by semantic IDs.\n\nVSM has a supporting user-interface called 'vsm-box', for reading and entering knowledge in VSM form.\n \n| For an overview, see https://vsm.github.io\n| For a video, see https://youtu.be/0kHWBZIL04E\n| For conceptual details, see https://www.preprints.org/manuscript/202007.0486/v2\n| For technical details, see https://github.com/vsm/vsm-box/blob/master/Documentation.md","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Data model","Curated information","Digital curation","Literature curation","Knowledge representation","Biocuration"],"taxonomies":["Not applicable"],"user_defined_tags":["vsm"],"countries":["Norway"],"publications":[{"id":2492,"pubmed_id":null,"title":"Intuitive Representation of Computable Knowledge","year":2020,"url":"https://www.preprints.org/manuscript/202007.0486/v2","authors":"Steven Vercruysse, Martin Kuiper","journal":"Preprints","doi":"10.20944/preprints202007.0486.v2","created_at":"2021-09-30T08:27:05.586Z","updated_at":"2022-03-29T08:26:32.174Z"},{"id":2495,"pubmed_id":null,"title":"VSM-box: General-purpose Interface for Biocuration and Knowledge Representation","year":2020,"url":"https://www.preprints.org/manuscript/202007.0557/v1","authors":"Steven Vercruysse, John Zobolas, Vasundra Touré, Maria K. Andersen, Martin Kuiper","journal":"Preprints","doi":"10.20944/preprints202007.0557.v1","created_at":"2021-09-30T08:27:05.963Z","updated_at":"2022-03-29T08:26:52.722Z"}],"licence_links":[{"licence_name":"Affero GNU GPL v3.0","licence_id":15,"licence_url":"https://www.gnu.org/licenses/agpl-3.0.en.html","link_id":768,"relation":"undefined"}],"grants":[{"id":7663,"fairsharing_record_id":1543,"organisation_id":2200,"relation":"undefined","created_at":"2021-09-30T09:28:45.600Z","updated_at":"2021-09-30T09:28:45.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":2200,"name":"NTNU - Norwegian University of Science and Technology","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWDA9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ced72c05019041be2ac8d9f629faef8a00d13cf5/vsm-logo-640x640a.png?disposition=inline","exhaustive_licences":false}},{"id":"1544","type":"fairsharing_records","attributes":{"created_at":"2018-09-05T13:26:36.000Z","updated_at":"2023-03-14T18:13:37.589Z","metadata":{"doi":"10.25504/FAIRsharing.m2NU20","name":"Citation File Format","status":"ready","contacts":[{"contact_name":"CFF team","contact_email":"CFFteam@research-software.org"}],"homepage":"https://citation-file-format.github.io/","citations":[],"identifier":1544,"description":"The Citation File Format (CFF) is a human-centric, machine-readable format for software citation metadata. It is developed to provide an easy way for RSEs, and other developers of software in academia, to ensure that they can receive credit for their work; likewise, it provides researchers with access to the necessary metadata for references to the software they use in their research. The Citation File Format follows the Software Citation Principles, and is compatible with the CodeMeta JSON-LD exchange format for software metadata.","abbreviation":"CFF","support_links":[{"url":"https://github.com/citation-file-format/citation-file-format/blob/master/CONTRIBUTING.md","name":"Guidelines for Contributing","type":"Github"},{"url":"https://github.com/citation-file-format","name":"GitHub Repository","type":"Github"},{"url":"https://citation-file-format.github.io/1.0.3/","name":"Specification file","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/citation-file-format/cff-converter-python","name":"cffconvert 1.0.1"},{"url":"https://github.com/citation-file-format/ruby-cff","name":"Ruby CFF Library 0.5.0"},{"url":"https://github.com/citation-file-format/cff-initializer-javascript","name":"cffinit 1.0.0"},{"url":"https://github.com/citation-file-format/doi2cff","name":"DOI 2 citation format file generator 1.0.0"},{"url":"https://github.com/citation-file-format/github2cff","name":"github2cff 0.1"},{"url":"https://github.com/citation-file-format/cff-reader-java","name":"cff-reader-java 1.0.1"}]},"legacy_ids":["bsg-001271","bsg-s001271"],"name":"FAIRsharing record for: Citation File Format","abbreviation":"CFF","url":"https://fairsharing.org/10.25504/FAIRsharing.m2NU20","doi":"10.25504/FAIRsharing.m2NU20","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citation File Format (CFF) is a human-centric, machine-readable format for software citation metadata. It is developed to provide an easy way for RSEs, and other developers of software in academia, to ensure that they can receive credit for their work; likewise, it provides researchers with access to the necessary metadata for references to the software they use in their research. The Citation File Format follows the Software Citation Principles, and is compatible with the CodeMeta JSON-LD exchange format for software metadata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Citation","Publication","Software"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Publishing"],"countries":["France","Germany","Lithuania","Netherlands","Norway","United Kingdom"],"publications":[{"id":2446,"pubmed_id":null,"title":"Citation File Format (CFF) - Specifications","year":2018,"url":"https://doi.org/10.5281/zenodo.1003149","authors":"Druskat, Stephan; Chue Hong, Neil; Haines, Robert; Baker, James; Gruenpeter, Morane; Silva, Raniere; Bast, Radovan; Crusoe, Michael R.","journal":"Zenodo","doi":null,"created_at":"2021-09-30T08:27:00.019Z","updated_at":"2021-09-30T08:27:00.019Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":143,"relation":"undefined"}],"grants":[{"id":7664,"fairsharing_record_id":1544,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:45.632Z","updated_at":"2021-09-30T09:30:10.430Z","grant_id":584,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/N006410/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1518","type":"fairsharing_records","attributes":{"created_at":"2021-04-22T21:19:48.000Z","updated_at":"2022-08-02T08:19:04.557Z","metadata":{"doi":"10.25504/FAIRsharing.5164e7","name":"Marine Regions","status":"ready","contacts":[{"contact_name":"Lennert Schepers","contact_email":"info@marineregions.org","contact_orcid":"0000-0002-6145-8248"}],"homepage":"https://marineregions.org","citations":[],"identifier":1518,"description":"The purpose of Marine Regions is to create a standard, relational list of geographic names, coupled with information and maps of the geographic location of these features. The objectives are to capture all geographic marine names worldwide, including ocean basins, seas, seamounts, sandbanks, ridges, bays and other marine geographical place names and attributes, and to display univocally the boundaries of marine biogeographic or other managed marine areas in order to facilitate marine data management, marine (bio)geographic research and the management of marine areas.","abbreviation":"Marine Regions","support_links":[{"url":"info@marineregions.org","name":"Marine Regions email","type":"Support email"},{"url":"http://www.vliz.be/en/imis?module=dataset\u0026dasid=6293","name":"MarineRegions database metadata description","type":"Help documentation"},{"url":"https://marineregions.org/gazetteer.php?p=rss","name":"Marine Regions GeoRSS","type":"Blog/News"},{"url":"https://twitter.com/marineregions","name":"Marine Regions twitter","type":"Twitter"}],"year_creation":2005,"associated_tools":[{"url":"https://github.com/ropensci/mregions/","name":"mregions R Package"}]},"legacy_ids":["bsg-001609","bsg-s001609"],"name":"FAIRsharing record for: Marine Regions","abbreviation":"Marine Regions","url":"https://fairsharing.org/10.25504/FAIRsharing.5164e7","doi":"10.25504/FAIRsharing.5164e7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of Marine Regions is to create a standard, relational list of geographic names, coupled with information and maps of the geographic location of these features. The objectives are to capture all geographic marine names worldwide, including ocean basins, seas, seamounts, sandbanks, ridges, bays and other marine geographical place names and attributes, and to display univocally the boundaries of marine biogeographic or other managed marine areas in order to facilitate marine data management, marine (bio)geographic research and the management of marine areas.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13292}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Geography","Geophysics","Data Management","Marine Biology","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","maritime policy"],"countries":["Belgium"],"publications":[{"id":711,"pubmed_id":null,"title":"Marine Regions: Towards a Global Standard for Georeferenced Marine Names and Boundaries","year":2014,"url":"https://doi.org/10.1080/01490419.2014.902881","authors":"Simon Claus, Nathalie De Hauwere, Bart Vanhoorne, Pieter Deckers, Francisco Souza Dias, Francisco Hernandez \u0026 Jan Mees","journal":"Marine Geodesy","doi":null,"created_at":"2021-09-30T08:23:38.387Z","updated_at":"2021-09-30T08:23:38.387Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":282,"relation":"undefined"}],"grants":[{"id":7620,"fairsharing_record_id":1518,"organisation_id":2777,"relation":"maintains","created_at":"2021-09-30T09:28:43.951Z","updated_at":"2021-09-30T09:28:43.951Z","grant_id":null,"is_lead":true,"saved_state":{"id":2777,"name":"The Flanders Marine Institute (VLIZ), Belgium","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8677,"fairsharing_record_id":1518,"organisation_id":3338,"relation":"associated_with","created_at":"2022-01-06T13:07:43.652Z","updated_at":"2022-01-06T13:07:43.652Z","grant_id":null,"is_lead":false,"saved_state":{"id":3338,"name":"European Marine Biological Research Centre","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":8396,"fairsharing_record_id":1518,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:32:26.782Z","updated_at":"2021-09-30T09:32:26.829Z","grant_id":1623,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"I000819N-LIFEWATCH","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7619,"fairsharing_record_id":1518,"organisation_id":1716,"relation":"undefined","created_at":"2021-09-30T09:28:43.909Z","updated_at":"2021-09-30T09:28:43.909Z","grant_id":null,"is_lead":false,"saved_state":{"id":1716,"name":"LifeWatch Belgium","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7617,"fairsharing_record_id":1518,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:28:43.839Z","updated_at":"2021-09-30T09:30:21.914Z","grant_id":677,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"GOH3417N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8033,"fairsharing_record_id":1518,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:30:31.671Z","updated_at":"2021-09-30T09:30:31.721Z","grant_id":748,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"I002021N-LIFEWATCH","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1519","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2021-11-24T13:14:32.150Z","metadata":{"doi":"10.25504/FAIRsharing.31venv","name":"DebugIT Core Ontology","status":"deprecated","contacts":[{"contact_name":"Daniel Schober","contact_email":"dschober@ipb-halle.de"}],"homepage":"http://dx.doi.org/10.3233/978-1-60750-588-4-1060","identifier":1519,"description":"The Debugit Core Ontology (dco) covers the complete conceptual space of the domain of interest in the DebugIT project. It focuses on the management of antibiotics resistance within hospitals and infectious diseases to cover the clinical monitoring use cases. The ontology shall provide a semantic reference as logically defined classes in a formal and computer understandable format. It is supposed to formally represent all basic kinds of entities in the domain of interest, together with their invariant and context-independent properties. The ontology is therefore distinct from the representation of clinical knowledge as targeted by the DebugIT WP 4. Instead, it has a supportive semantic glue Function as it provides standardized and formally described meaning identifiers across the whole project, hence serving the Interoperability platform as well.","abbreviation":"DCO-DEBUGIT","support_links":[{"url":"https://healthmanagement.org/c/healthmanagement/issuearticle/the-debugit-project","name":"DebugIT Article","type":"Help documentation"}],"year_creation":2013,"deprecation_date":"2021-03-24","deprecation_reason":"This resource no longer has a homepage, project page, or download link. No up-to-date information can be found for it."},"legacy_ids":["bsg-000852","bsg-s000852"],"name":"FAIRsharing record for: DebugIT Core Ontology","abbreviation":"DCO-DEBUGIT","url":"https://fairsharing.org/10.25504/FAIRsharing.31venv","doi":"10.25504/FAIRsharing.31venv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Debugit Core Ontology (dco) covers the complete conceptual space of the domain of interest in the DebugIT project. It focuses on the management of antibiotics resistance within hospitals and infectious diseases to cover the clinical monitoring use cases. The ontology shall provide a semantic reference as logically defined classes in a formal and computer understandable format. It is supposed to formally represent all basic kinds of entities in the domain of interest, together with their invariant and context-independent properties. The ontology is therefore distinct from the representation of clinical knowledge as targeted by the DebugIT WP 4. Instead, it has a supportive semantic glue Function as it provides standardized and formally described meaning identifiers across the whole project, hence serving the Interoperability platform as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine","Biomedical Science"],"domains":["Antimicrobial"],"taxonomies":["All"],"user_defined_tags":["Antimicrobial resistance"],"countries":["Belgium","France","Germany","Switzerland"],"publications":[{"id":2305,"pubmed_id":null,"title":"The DebugIT Core Ontology: semantic integration of antibiotics resistance patterns","year":2010,"url":"http://dx.doi.org/10.3233/978-1-60750-588-4-1060","authors":"Daniel Schober, Martin Boeker, Jessica Bullenkamp, Csaba Huszka, Kristof Depraetere, Douglas Teodoro, Nadia Nadah, Remy Choquet, Christel Daniel, Stefan Schulz","journal":"Studies in Health Technology and Informatics, Volume 160: MEDINFO 2010","doi":null,"created_at":"2021-09-30T08:26:42.702Z","updated_at":"2021-09-30T08:26:42.702Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1520","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-07-20T12:52:22.070Z","metadata":{"doi":"10.25504/FAIRsharing.6gs502","name":"Stuff Ontology","status":"ready","contacts":[{"contact_name":"Maria Keet","contact_email":"mkeet@cs.uct.ac.za"}],"homepage":"http://www.meteck.org/stuff.html","citations":[{"publication_id":2550}],"identifier":1520,"description":"Multiple domain ontologies have various representations of types of stuff--also called matter, mass, or substance--such as milk, alcohol, and mud. This is modelled in a range of different ways that are not quite compatible with each other as they do not adhere to a single structured approach, at times not even within an ontology itself. The Stuff Ontology is a 'bridging' core ontology describing categories of stuff and formalised in OWL for purposes of implementability. It stands on its own, but there are also versions that link to the DOLCE and BFO foundational ontologies, and one with examples to illustrate classification of stuffs (among others, mayonnaise and gold). This then also resolves the main type of interoperability issues with stuffs in domain ontologies, thereby also contributing to better ontology quality.","abbreviation":"STUFF","year_creation":2015},"legacy_ids":["bsg-000946","bsg-s000946"],"name":"FAIRsharing record for: Stuff Ontology","abbreviation":"STUFF","url":"https://fairsharing.org/10.25504/FAIRsharing.6gs502","doi":"10.25504/FAIRsharing.6gs502","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Multiple domain ontologies have various representations of types of stuff--also called matter, mass, or substance--such as milk, alcohol, and mud. This is modelled in a range of different ways that are not quite compatible with each other as they do not adhere to a single structured approach, at times not even within an ontology itself. The Stuff Ontology is a 'bridging' core ontology describing categories of stuff and formalised in OWL for purposes of implementability. It stands on its own, but there are also versions that link to the DOLCE and BFO foundational ontologies, and one with examples to illustrate classification of stuffs (among others, mayonnaise and gold). This then also resolves the main type of interoperability issues with stuffs in domain ontologies, thereby also contributing to better ontology quality.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science"],"domains":["Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":2550,"pubmed_id":null,"title":"A core ontology of macroscopic stuff","year":2014,"url":"http://www.meteck.org/files/StuffKindsEKAW14.pdf","authors":"Keet, C.M.","journal":"19th International Conference on Knowledge Engineering and Knowledge Management (EKAW'14). K. Janowicz et al. (Eds.). 24-28 Nov, 2014, Linkoping, Sweden. Springer LNAI vol. 8876, 209-224.","doi":null,"created_at":"2021-09-30T08:27:12.743Z","updated_at":"2021-09-30T08:27:12.743Z"},{"id":2561,"pubmed_id":null,"title":"Relating some stuff to other stuff","year":2016,"url":"http://www.meteck.org/files/StuffRelationsEKAW16.pdf","authors":"Keet, C.M.","journal":"20th International Conference on Knowledge Engineering and Knowledge Management (EKAW'16). Springer LNAI, 19-23 November, Bologna, Italy.","doi":null,"created_at":"2021-09-30T08:27:14.112Z","updated_at":"2021-09-30T08:27:14.112Z"}],"licence_links":[],"grants":[{"id":7621,"fairsharing_record_id":1520,"organisation_id":3039,"relation":"maintains","created_at":"2021-09-30T09:28:43.993Z","updated_at":"2021-09-30T09:28:43.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":3039,"name":"University of Cape Town, Rondebosch, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1521","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:30:19.000Z","updated_at":"2022-07-20T11:45:05.901Z","metadata":{"doi":"10.25504/FAIRsharing.LQfdaV","name":"Art \u0026 Architecture Thesaurus","status":"ready","contacts":[{"contact_name":"AAT editors","contact_email":"AAT@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/aat/index.html","citations":[],"identifier":1521,"description":"The Getty Art \u0026 Architecture Thesaurus (AAT) is a thesaurus containing generic terms, dates, relationships, sources, and notes for work types, roles, materials, styles, cultures, techniques, and other concepts related to art, architecture, and other cultural heritage. The AAT is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture. The AAT contains generic terms; it contains no iconographic subjects and no proper names. That is, each concept is a case of many (a generic thing), not a case of one (a specific thing).","abbreviation":"AAT","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabulary Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/aat/aat_faq.html","name":"AAT FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/aat/help.html","name":"How to Use","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/lod/index.html","name":"Getty Vocabularies as Linked Open Data","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/aat/about.html","name":"About","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001491","bsg-s001491"],"name":"FAIRsharing record for: Art \u0026 Architecture Thesaurus","abbreviation":"AAT","url":"https://fairsharing.org/10.25504/FAIRsharing.LQfdaV","doi":"10.25504/FAIRsharing.LQfdaV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Getty Art \u0026 Architecture Thesaurus (AAT) is a thesaurus containing generic terms, dates, relationships, sources, and notes for work types, roles, materials, styles, cultures, techniques, and other concepts related to art, architecture, and other cultural heritage. The AAT is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture. The AAT contains generic terms; it contains no iconographic subjects and no proper names. That is, each concept is a case of many (a generic thing), not a case of one (a specific thing).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Art History","Architecture","Art","Fine Arts","History","Cultural Studies","Building Design"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Built Environment"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":471,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":473,"relation":"undefined"}],"grants":[{"id":7622,"fairsharing_record_id":1521,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:44.031Z","updated_at":"2021-09-30T09:28:44.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1547","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-14T10:07:13.238Z","metadata":{"doi":"10.25504/FAIRsharing.9kahy4","name":"GenBank Nucleotide Sequence Database","status":"ready","contacts":[{"contact_name":"NCBI Helpdesk","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genbank/","citations":[{"doi":"10.1093/nar/gks1195","pubmed_id":23193287,"publication_id":3558}],"identifier":1547,"description":"GenBank ® is the NIH genetic sequence database of annotated collections of all publicly available DNA sequences. GenBank is part of an International Nucleotide Sequence Database Collaboration, which comprises the DNA DataBank of Japan (DDBJ), the European Nucleotide Archive (ENA), and GenBank at NCBI. The GenBank database is designed to provide and encourage access within the scientific community to the most up-to-date and comprehensive DNA sequence information, and release available versioned collections every two months from the ftp site. As part of the International Nucleotide Sequence Database Collaboration (INSDC), a long-standing foundational initiative (operating between DDBJ, EMBL-EBI and NCBI), the INSDC covers the spectrum of data raw reads, through alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. GenBank data submission types include: mRNA sequences, Prokaryotic genes, Eukaryotic genes, rRNA and/or ITS, viral sequences, transposon or insertion sequences, microsatellite sequences, pseudogenes, cloning vectors, phylogenetic or population sets, and non-coding RNAs.\n","abbreviation":"GenBank","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/genbank/genomesubmit/#metadata","type":"manual/automated","notes":"Metadata Required for all Genome Submissions"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/books/NBK25501/","name":"Entrez Programming Utilities Help","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/submit_types/","name":"GenBank Submission Types","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/submit/","name":"How to Submit","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/update/","name":"Updating GenBank records","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK566998/","name":"GenBank Submissions Handbook","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/blast/producttable.shtml","name":"Using BLAST at GenBank","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GenBank","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"update@ncbi.nlm.nih.gov","name":"Submission Update Support","type":"Support email"},{"url":"submit-help@ncbi.nlm.nih.gov","name":"General/Help","type":"Support email"},{"url":"genomes@ncbi.nlm.nih.gov","name":"Genome Update Support","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK53707/","name":"GenBank Submissions Handbook","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/wgsfaq/","name":"Whole Genome Sequence (WGS) FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://submit.ncbi.nlm.nih.gov/structcomment/genomes/","name":"GenBank Structured Comment Template","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/asndisc/","name":"Submission Discrepancy Report","type":"Help documentation"},{"url":"gb-admin@ncbi.nlm.nih.gov","name":"Sequence Update/Revision Support","type":"Support email"},{"url":"https://submit.ncbi.nlm.nih.gov/templates/","name":"Genome Information Template Files","type":"Other"},{"url":"https://www.youtube.com/watch?v=BCG-M5k-gvE","name":"E-Utilities Introduction","type":"Video"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/statistics","name":"GenBank and WGS Statistics","type":"Other"},{"url":"https://ncbiinsights.ncbi.nlm.nih.gov/2021/09/30/genome-quality-service/","name":"New Genome Quality Service","type":"Other"},{"url":"https://www.ncbi.nlm.nih.gov/datasets/docs/v1/how-tos/","name":"\"How To\" Guides","type":"Help documentation"},{"url":"https://ncbiinsights.ncbi.nlm.nih.gov/","name":"NCBI Insights \u0026 Announcements","type":"Blog/News"},{"url":"https://www.ncbi.nlm.nih.gov/Taxonomy/Utils/wprintgc.cgi","name":"List of Genetic Codes","type":"Help documentation"}],"year_creation":1982,"data_versioning":"yes","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/genbank/table2asn/","name":"tbl2asn2 (Command-line Program Submission Tool)"},{"url":"https://www.ncbi.nlm.nih.gov/tools/gbench/?utm_source=blog\u0026utm_medium=referrer\u0026utm_campaign=gbench\u0026utm_term=submissionwizard\u0026utm_content=20201109link3","name":"Genome Workbench (Edit \u0026 Visualization Tool)"},{"url":"https://www.ncbi.nlm.nih.gov/blast","name":"BLAST (Basic Local Alignment Search Tool)"},{"url":"https://github.com/nawrockie/vadr","name":"VADR (Viral Annotation DefineR), GenBank Viral Sequence Submission Annotation Tool"},{"url":"https://www.ncbi.nlm.nih.gov/genome/annotation_prok/","name":"PGAP (NCBI Prokaryotic Genome Annotation Pipeline Tool)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010528","name":"re3data:r3d100010528","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002760","name":"SciCrunch:RRID:SCR_002760","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/home/about/policies/#data","type":"open","notes":"Molecular Data Accessibility \u0026 Usage"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/books/NBK566998/#qkstrt_Kind_of_Data.what_kind_of_data_wi","type":"open","notes":"GenBank Submission Types"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000001","bsg-d000001"],"name":"FAIRsharing record for: GenBank Nucleotide Sequence Database","abbreviation":"GenBank","url":"https://fairsharing.org/10.25504/FAIRsharing.9kahy4","doi":"10.25504/FAIRsharing.9kahy4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenBank ® is the NIH genetic sequence database of annotated collections of all publicly available DNA sequences. GenBank is part of an International Nucleotide Sequence Database Collaboration, which comprises the DNA DataBank of Japan (DDBJ), the European Nucleotide Archive (ENA), and GenBank at NCBI. The GenBank database is designed to provide and encourage access within the scientific community to the most up-to-date and comprehensive DNA sequence information, and release available versioned collections every two months from the ftp site. As part of the International Nucleotide Sequence Database Collaboration (INSDC), a long-standing foundational initiative (operating between DDBJ, EMBL-EBI and NCBI), the INSDC covers the spectrum of data raw reads, through alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. GenBank data submission types include: mRNA sequences, Prokaryotic genes, Eukaryotic genes, rRNA and/or ITS, viral sequences, transposon or insertion sequences, microsatellite sequences, pseudogenes, cloning vectors, phylogenetic or population sets, and non-coding RNAs.\n","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17565},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10759},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10925},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11049},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12295},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12570},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12953}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Metagenomics","Genomics","Bioinformatics","Data Management","Virology","Transcriptomics","Epidemiology"],"domains":["Nucleic acid sequence","DNA sequence data","Annotation","Genomic assembly","Deoxyribonucleic acid","Nucleotide","Whole genome sequencing","Sequencing","Disease","Messenger RNA","Gene","Genome","Sequence alteration","Data storage"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Japan","United States","European Union"],"publications":[{"id":18,"pubmed_id":22144687,"title":"GenBank.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1202","authors":"Benson DA., Karsch-Mizrachi I., Clark K., Lipman DJ., Ostell J., Sayers EW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1202","created_at":"2021-09-30T08:22:22.372Z","updated_at":"2021-09-30T08:22:22.372Z"},{"id":19,"pubmed_id":21071399,"title":"GenBank.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1079","authors":"Benson DA., Karsch-Mizrachi I., Lipman DJ., Ostell J., Sayers EW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1079","created_at":"2021-09-30T08:22:22.463Z","updated_at":"2021-09-30T08:22:22.463Z"},{"id":34,"pubmed_id":18073190,"title":"GenBank.","year":2007,"url":"http://doi.org/10.1093/nar/gkm929","authors":"Benson DA., Karsch-Mizrachi I., Lipman DJ., Ostell J., Wheeler DL.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm929","created_at":"2021-09-30T08:22:23.972Z","updated_at":"2021-09-30T08:22:23.972Z"},{"id":150,"pubmed_id":18940867,"title":"GenBank.","year":2008,"url":"http://doi.org/10.1093/nar/gkn723","authors":"Benson DA., Karsch-Mizrachi I., Lipman DJ., Ostell J., Sayers EW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn723","created_at":"2021-09-30T08:22:36.289Z","updated_at":"2021-09-30T08:22:36.289Z"},{"id":531,"pubmed_id":23193287,"title":"GenBank.","year":2012,"url":"http://doi.org/10.1093/nar/gks1195","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1195","created_at":"2021-09-30T08:23:17.973Z","updated_at":"2021-09-30T11:28:47.158Z"},{"id":714,"pubmed_id":24217914,"title":"GenBank.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1030","authors":"Benson DA,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1030","created_at":"2021-09-30T08:23:38.702Z","updated_at":"2021-09-30T11:28:49.234Z"},{"id":815,"pubmed_id":29140468,"title":"GenBank","year":2017,"url":"http://doi.org/10.1093/nar/gkx1094","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Ostell J,Pruitt K,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1094","created_at":"2021-09-30T08:23:49.901Z","updated_at":"2021-09-30T11:28:51.967Z"},{"id":816,"pubmed_id":31665464,"title":"GenBank.","year":2019,"url":"http://doi.org/10.1093/nar/gkz956","authors":"Sayers EW,Cavanaugh M,Clark K,Ostell J,Pruitt KD,Karsch-Mizrachi I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz956","created_at":"2021-09-30T08:23:50.009Z","updated_at":"2021-09-30T11:28:52.067Z"},{"id":959,"pubmed_id":30365038,"title":"GenBank.","year":2018,"url":"http://doi.org/10.1093/nar/gky989","authors":"Sayers EW,Cavanaugh M,Clark K,Ostell J,Pruitt KD,Karsch-Mizrachi I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky989","created_at":"2021-09-30T08:24:06.128Z","updated_at":"2021-09-30T11:28:55.967Z"},{"id":960,"pubmed_id":27899564,"title":"GenBank.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1070","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1070","created_at":"2021-09-30T08:24:06.269Z","updated_at":"2021-09-30T11:28:56.069Z"},{"id":961,"pubmed_id":26590407,"title":"GenBank.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1276","authors":"Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1276","created_at":"2021-09-30T08:24:06.369Z","updated_at":"2021-09-30T11:28:56.151Z"},{"id":962,"pubmed_id":25414350,"title":"GenBank.","year":2014,"url":"http://doi.org/10.1093/nar/gku1216","authors":"Benson DA,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1216","created_at":"2021-09-30T08:24:06.471Z","updated_at":"2021-09-30T11:28:56.251Z"},{"id":3557,"pubmed_id":null,"title":"VADR: validation and annotation of virus sequence submissions to GenBank","year":2020,"url":"http://dx.doi.org/10.1186/s12859-020-3537-3","authors":"Schäffer, Alejandro A.; Hatcher, Eneida L.; Yankie, Linda; Shonkwiler, Lara; Brister, J. Rodney; Karsch-Mizrachi, Ilene; Nawrocki, Eric P.; ","journal":"BMC Bioinformatics","doi":"10.1186/s12859-020-3537-3","created_at":"2022-08-18T00:01:54.660Z","updated_at":"2022-08-18T00:01:54.660Z"},{"id":3558,"pubmed_id":23193287,"title":"GenBank","year":2012,"url":"http://dx.doi.org/10.1093/nar/gks1195","authors":"Benson, Dennis A.; Cavanaugh, Mark; Clark, Karen; Karsch-Mizrachi, Ilene; Lipman, David J.; Ostell, James; Sayers, Eric W.; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1195","created_at":"2022-08-18T00:21:41.231Z","updated_at":"2022-08-18T00:21:41.231Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":747,"relation":"undefined"},{"licence_name":"Nucleotide Sequence Database Policies","licence_id":969,"licence_url":"https://www.insdc.org/policy/","link_id":2810,"relation":"undefined"}],"grants":[{"id":1,"fairsharing_record_id":1547,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:24:14.934Z","updated_at":"2021-09-30T09:24:14.934Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2,"fairsharing_record_id":1547,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:14.979Z","updated_at":"2021-09-30T09:24:14.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1548","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:43.363Z","metadata":{"doi":"10.25504/FAIRsharing.wvp1t7","name":"GlycoNAVI","status":"ready","contacts":[{"contact_name":"Issaku Yamada","contact_email":"issaku@noguchi.or.jp","contact_orcid":"0000-0001-9504-189X"}],"homepage":"https://glyconavi.org/","citations":[],"identifier":1548,"description":"GlycoNAVI is a repository of data relevant to carbohydrate research. It contains a free suite of carbohydrate research tools organized by domain, including glycans, proteins, lipids, genes, diseases and samples.","abbreviation":"GlycoNAVI","data_curation":{"type":"manual"},"support_links":[{"url":"glyconavi@noguchi.or.jp","name":"General Contact","type":"Support email"},{"url":"https://glyconavi.github.io/doc/","name":"Documentation","type":"Github"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://glyconavi.org/TCarp/","name":"TCarp 0.9.0"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000002","bsg-d000002"],"name":"FAIRsharing record for: GlycoNAVI","abbreviation":"GlycoNAVI","url":"https://fairsharing.org/10.25504/FAIRsharing.wvp1t7","doi":"10.25504/FAIRsharing.wvp1t7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoNAVI is a repository of data relevant to carbohydrate research. It contains a free suite of carbohydrate research tools organized by domain, including glycans, proteins, lipids, genes, diseases and samples.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11756}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Organic Chemistry","Chemistry","Life Science","Glycomics"],"domains":["Protecting group"],"taxonomies":["All"],"user_defined_tags":["Non-carbohydrate moieties"],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2025,"relation":"undefined"}],"grants":[{"id":4,"fairsharing_record_id":1548,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:24:15.054Z","updated_at":"2021-09-30T09:24:15.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3,"fairsharing_record_id":1548,"organisation_id":2813,"relation":"maintains","created_at":"2021-09-30T09:24:15.017Z","updated_at":"2021-09-30T09:24:15.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":2813,"name":"The Noguchi Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBam9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f07bbe3383ced35654e4cce0cbb98a3abba364b8/GlycoNAVI.png?disposition=inline","exhaustive_licences":false}},{"id":"1532","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2021-11-24T13:17:27.605Z","metadata":{"doi":"10.25504/FAIRsharing.zve9cc","name":"Proteasix Ontology","status":"uncertain","contacts":[{"contact_name":"Mercedes Arguello Casteleiro","contact_email":"m.arguello@manchester.ac.uk"}],"homepage":"https://dx.doi.org/10.1186%2Fs13326-016-0078-9","citations":[{"doi":"10.1186/s13326-016-0078-9","pubmed_id":27259807,"publication_id":2274}],"identifier":1532,"description":"The Proteasix Ontology (PxO) is an ontology that supports the Proteasix tool; an open-source peptide-centric tool that can be used to predict automatically and in a large-scale fashion in silico the proteases involved in the generation of proteolytic cleavage fragments (peptides). PxO aims to describe the known proteases and their target cleavage sites, to enable the description of proteolytic cleavage fragments as the outputs of observed and predicted proteolysis, and to use knowledge about the function, species and cellular location of a protease and protein substrate to support the prioritisation of proteases in observed and predicted proteolysis. Although the Proteasix project website remains active, download / browse links to the ontology are no longer available and the owners of the resource have not confirmed its current status. Therefore we have marked this resource with an Uncertain status. Please get in touch if you can provide FAIRsharing with up-to-date information regarding this resource.","abbreviation":"PxO","support_links":[{"url":"proteasix@gmail.com","name":"General Contact","type":"Support email"}],"year_creation":2015,"associated_tools":[{"url":"http://www.proteasix.org/","name":"Proteasix"}]},"legacy_ids":["bsg-001048","bsg-s001048"],"name":"FAIRsharing record for: Proteasix Ontology","abbreviation":"PxO","url":"https://fairsharing.org/10.25504/FAIRsharing.zve9cc","doi":"10.25504/FAIRsharing.zve9cc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Proteasix Ontology (PxO) is an ontology that supports the Proteasix tool; an open-source peptide-centric tool that can be used to predict automatically and in a large-scale fashion in silico the proteases involved in the generation of proteolytic cleavage fragments (peptides). PxO aims to describe the known proteases and their target cleavage sites, to enable the description of proteolytic cleavage fragments as the outputs of observed and predicted proteolysis, and to use knowledge about the function, species and cellular location of a protease and protein substrate to support the prioritisation of proteases in observed and predicted proteolysis. Although the Proteasix project website remains active, download / browse links to the ontology are no longer available and the owners of the resource have not confirmed its current status. Therefore we have marked this resource with an Uncertain status. Please get in touch if you can provide FAIRsharing with up-to-date information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Proteolytic digest","Protein cleavage site prediction","Protease cleavage","Protease site"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United Kingdom"],"publications":[{"id":2274,"pubmed_id":27259807,"title":"The Proteasix Ontology.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0078-9","authors":"Arguello Casteleiro M,Klein J,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0078-9","created_at":"2021-09-30T08:26:36.957Z","updated_at":"2021-09-30T08:26:36.957Z"}],"licence_links":[],"grants":[{"id":7638,"fairsharing_record_id":1532,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:44.636Z","updated_at":"2021-09-30T09:28:44.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7639,"fairsharing_record_id":1532,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:44.672Z","updated_at":"2021-09-30T09:31:38.526Z","grant_id":1262,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"603288","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7640,"fairsharing_record_id":1532,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:44.710Z","updated_at":"2021-09-30T09:28:44.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7641,"fairsharing_record_id":1532,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:28:44.769Z","updated_at":"2021-09-30T09:28:44.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1533","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T09:49:03.201Z","metadata":{"doi":"10.25504/FAIRsharing.h1gmb7","name":"Durum Wheat","status":"ready","contacts":[{"contact_name":"Patrice Buche","contact_email":"patrice.buche@supagro.inra.fr"}],"homepage":"https://www6.inrae.fr/cati-icat-atweb/Ontologies/Durum-wheat","identifier":1533,"description":"The durum wheat ontology (DURUM_WHEAT) is dedicated to the sustainability analysis of the durum wheat chain. Current data available on this ontology concern durum wheat quality control criteria used in different countries (Moisture content rate, chemical content, etc.).","abbreviation":"DURUM_WHEAT","year_creation":2016},"legacy_ids":["bsg-001101","bsg-s001101"],"name":"FAIRsharing record for: Durum Wheat","abbreviation":"DURUM_WHEAT","url":"https://fairsharing.org/10.25504/FAIRsharing.h1gmb7","doi":"10.25504/FAIRsharing.h1gmb7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The durum wheat ontology (DURUM_WHEAT) is dedicated to the sustainability analysis of the durum wheat chain. Current data available on this ontology concern durum wheat quality control criteria used in different countries (Moisture content rate, chemical content, etc.).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Quality control"],"taxonomies":["Triticum durum"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1214,"relation":"undefined"}],"grants":[{"id":7643,"fairsharing_record_id":1533,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:44.843Z","updated_at":"2021-09-30T09:28:44.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7642,"fairsharing_record_id":1533,"organisation_id":2908,"relation":"maintains","created_at":"2021-09-30T09:28:44.807Z","updated_at":"2021-09-30T09:28:44.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":2908,"name":"UMR AGIR (AGroecology, Innovations, Ruralities), Institut national de la recherche agronomique (INRA), Paris, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1534","type":"fairsharing_records","attributes":{"created_at":"2020-07-10T18:52:50.000Z","updated_at":"2022-07-20T12:38:41.741Z","metadata":{"doi":"10.25504/FAIRsharing.kwsfg2","name":"BACPAC Minimum Dataset: Required Baseline Demographic and Outcomes Measures","status":"ready","contacts":[{"contact_name":"Anna Hoffmeyer","contact_email":"bacpac_dac@unc.edu"}],"homepage":"https://heal.nih.gov/research/clinical-research/back-pain","identifier":1534,"description":"This document contains domains and instruments for the longitudinal assessments in the BACPAC Minimum Dataset. Where applicable, core data elements of the BACPAC Minimum Dataset are taken from previously validated instruments (e.g., PROMIS measures). The BACPAC Minimum Dataset is an expanded version of the HEAL Initiative Core Data Elements. In addition to the longitudinal assessments, the BACPAC Minimum Dataset includes a collection of demographic and baseline characteristic core data elements, which are administered to study participants at baseline only.","abbreviation":null,"support_links":[{"url":"BACPAC-NIH@mail.nih.gov","name":"BACPAC Contact","type":"Support email"}],"year_creation":2020},"legacy_ids":["bsg-001511","bsg-s001511"],"name":"FAIRsharing record for: BACPAC Minimum Dataset: Required Baseline Demographic and Outcomes Measures","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.kwsfg2","doi":"10.25504/FAIRsharing.kwsfg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document contains domains and instruments for the longitudinal assessments in the BACPAC Minimum Dataset. Where applicable, core data elements of the BACPAC Minimum Dataset are taken from previously validated instruments (e.g., PROMIS measures). The BACPAC Minimum Dataset is an expanded version of the HEAL Initiative Core Data Elements. In addition to the longitudinal assessments, the BACPAC Minimum Dataset includes a collection of demographic and baseline characteristic core data elements, which are administered to study participants at baseline only.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Demographics","Pain Medicine"],"domains":["Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7644,"fairsharing_record_id":1534,"organisation_id":650,"relation":"maintains","created_at":"2021-09-30T09:28:44.885Z","updated_at":"2021-09-30T09:28:44.885Z","grant_id":null,"is_lead":false,"saved_state":{"id":650,"name":"Data Integration, Algorithm Development and Operations Management Center (DAC) for BACPAC, UNC Chapel Hill, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7645,"fairsharing_record_id":1534,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:44.935Z","updated_at":"2021-09-30T09:29:55.554Z","grant_id":471,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U24AR076730","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1535","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T12:42:38.536Z","metadata":{"doi":"10.25504/FAIRsharing.wsfk5z","name":"Animal Trait Ontology for Livestock","status":"ready","contacts":[{"contact_name":"Pierre-Yves LeBail","contact_email":"pylebail@rennes.inra.fr"}],"homepage":"http://www.atol-ontology.com/en/atol-2/","citations":[],"identifier":1535,"description":"ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment. ATOL aims to: provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; represent traits as generic as possible for livestock vertebrates; make the ATOL ontology as operational as possible and closely related to measurement techniques; and structure the ontology in relation to animal production.","abbreviation":"ATOL","support_links":[{"url":"matthieu.reichstadt@clermont.inra.fr","name":"Matthieu Reichstadt","type":"Support email"},{"url":"https://www.ebi.ac.uk/ols/ontologies/atol","name":"ATOL in the EBI's Ontology Lookup Service (OLS)","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ATOL","name":"ATOL","portal":"BioPortal"}]},"legacy_ids":["bsg-001033","bsg-s001033"],"name":"FAIRsharing record for: Animal Trait Ontology for Livestock","abbreviation":"ATOL","url":"https://fairsharing.org/10.25504/FAIRsharing.wsfk5z","doi":"10.25504/FAIRsharing.wsfk5z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment. ATOL aims to: provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; represent traits as generic as possible for livestock vertebrates; make the ATOL ontology as operational as possible and closely related to measurement techniques; and structure the ontology in relation to animal production.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Husbandry","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Vertebrata"],"user_defined_tags":["Livestock"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":759,"relation":"undefined"}],"grants":[{"id":7646,"fairsharing_record_id":1535,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:44.986Z","updated_at":"2021-09-30T09:28:44.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1528","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:14:20.841Z","metadata":{"doi":"10.25504/FAIRsharing.y47s7f","name":"International Classification for Nursing Practice","status":"ready","contacts":[{"contact_name":"ICNP General Contact","contact_email":"icnp@icn.ch"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-for-nursing-practice","identifier":1528,"description":"The International Classification for Nursing Practice (INCP) was accepted by WHO within the WHO Family of International Classifications (FIC) to extend the coverage of the domain of nursing practice as an essential and complementary part of professional health services. ICNP classifies patient data and clinical activity in the domain of nursing and can be used for decision-making and policy development aimed at improving health status and health care delivery. ICNP can represent diagnoses, interventions, and outcomes. A number of subsets are available to provide precoordinated concepts for select health priorities, including nursing outcome indicators, paediatric pain management, palliative care, and partnering with patients and families to promote adherence to treatment.","abbreviation":"ICNP","support_links":[{"url":"https://www.icn.ch/what-we-doprojectsehealth-icnptm/about-icnp/icnp-catalogues","name":"About ICNP","type":"Help documentation"}],"year_creation":1996,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICNP","name":"ICNP","portal":"BioPortal"}]},"legacy_ids":["bsg-002639","bsg-s002639"],"name":"FAIRsharing record for: International Classification for Nursing Practice","abbreviation":"ICNP","url":"https://fairsharing.org/10.25504/FAIRsharing.y47s7f","doi":"10.25504/FAIRsharing.y47s7f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification for Nursing Practice (INCP) was accepted by WHO within the WHO Family of International Classifications (FIC) to extend the coverage of the domain of nursing practice as an essential and complementary part of professional health services. ICNP classifies patient data and clinical activity in the domain of nursing and can be used for decision-making and policy development aimed at improving health status and health care delivery. ICNP can represent diagnoses, interventions, and outcomes. A number of subsets are available to provide precoordinated concepts for select health priorities, including nursing outcome indicators, paediatric pain management, palliative care, and partnering with patients and families to promote adherence to treatment.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17299},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12522}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Primary Health Care","Biomedical Science"],"domains":["Electronic health record","Patient care","Hospital","Nurse"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1749,"pubmed_id":15460220,"title":"The International Classification For Nursing Practice.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/15460220","authors":"Mortensen RA,Nielsen GH","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-60750-909-7-45","created_at":"2021-09-30T08:25:36.288Z","updated_at":"2021-09-30T08:25:36.288Z"}],"licence_links":[{"licence_name":"ICNP Download","licence_id":413,"licence_url":"https://www.icn.ch/what-we-do/projects/ehealth-icnptm/icnp-download","link_id":1291,"relation":"undefined"}],"grants":[{"id":7631,"fairsharing_record_id":1528,"organisation_id":1484,"relation":"maintains","created_at":"2021-09-30T09:28:44.335Z","updated_at":"2021-09-30T09:28:44.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1484,"name":"International Council of Nurses","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1529","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T16:48:51.000Z","updated_at":"2022-07-20T09:15:41.959Z","metadata":{"doi":"10.25504/FAIRsharing.27a0f4","name":"Premis Data Dictionary for the Preservation Metadata","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"PIG@listserv.loc.gov"}],"homepage":"http://www.loc.gov/standards/premis/","citations":[],"identifier":1529,"description":"PREMIS is a metadata standard used worldwide for the preservation of digital objects which prolongs their use. The standard is maintained by the PREMIS Editorial Committee which includes data dictionary an XML schema and supporting documentation.","abbreviation":"PREMIS","support_links":[{"url":"http://www.loc.gov/standards/premis/contact-premis.php","name":"Contact","type":"Contact form"},{"url":"PIG@listserv.loc.gov","name":"Subscribe to the forum","type":"Support email"},{"url":"http://www.loc.gov/standards/premis/bibliography.html","name":"online documents","type":"Help documentation"},{"url":"http://www.loc.gov/standards/premis/tutorials.html","name":"tutorials","type":"Training documentation"}],"associated_tools":[{"url":"https://www.archivematica.org/","name":"Archivematic"},{"url":"http://www.archiviststoolkit.org/","name":"Archivist's Toolkit"},{"url":"http://www.nationalarchives.gov.uk/aboutapps/pronom/","name":"DROID"},{"url":"http://sourceforge.net/projects/echodep/","name":"Echodep"},{"url":"http://ingestlist.sf.net/","name":"IngestList"},{"url":"http://meta-extractor.sourceforge.net/","name":"New Zealand Metadata extractor"},{"url":"http://www.exlibrisgroup.com/category/RosettaOverview","name":"Rosetta"}]},"legacy_ids":["bsg-001310","bsg-s001310"],"name":"FAIRsharing record for: Premis Data Dictionary for the Preservation Metadata","abbreviation":"PREMIS","url":"https://fairsharing.org/10.25504/FAIRsharing.27a0f4","doi":"10.25504/FAIRsharing.27a0f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PREMIS is a metadata standard used worldwide for the preservation of digital objects which prolongs their use. The standard is maintained by the PREMIS Editorial Committee which includes data dictionary an XML schema and supporting documentation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7632,"fairsharing_record_id":1529,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:44.376Z","updated_at":"2021-09-30T09:28:44.376Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1530","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-20T11:21:12.140Z","metadata":{"doi":"10.25504/FAIRsharing.p5df9c","name":"Faceted Application of Subject Terminology","status":"ready","contacts":[{"contact_name":"Support: UK Centre","contact_email":"support-uk@oclc.org"}],"homepage":"https://www.oclc.org/research/themes/data-science/fast.html","citations":[],"identifier":1530,"description":"FAST (Faceted Application of Subject Terminology) is a nine-facet vocabulary derived from the Library of Congress Subject Headings (LCSH), and is one of the library domain's most widely used subject terminology schemas. The broad purpose of adapting the LCSH with a simplified syntax to create FAST is to retain the rich vocabulary of LCSH while making the schema easier to understand, control, apply, and use. The schema maintains upward compatibility with LCSH, and any valid set of LC subject headings can be converted to FAST headings.","abbreviation":"FAST","support_links":[{"url":"https://www.oclc.org/research/forms/fast-contact.html","name":"Contact Form","type":"Contact form"},{"url":"oclc@oclc.org","name":"General Contact","type":"Support email"},{"url":"https://www.oclc.org/content/dam/oclc/fast/FAST-FAQ-Nov2019.pdf","name":"FAQ (PDF)","type":"Frequently Asked Questions (FAQs)"},{"url":"http://fast.oclc.org/searchfast/searchFastHowto.pdf","name":"Search Help (PDF)","type":"Help documentation"},{"url":"http://fast.oclc.org/fastChanges/","name":"Change Document","type":"Help documentation"},{"url":"https://www.oclc.org/en/fast.html","name":"About FAST","type":"Help documentation"},{"url":"https://help.oclc.org/Metadata_Services/Connexion/Troubleshooting/What_is_FAST","name":"What is FAST?","type":"Help documentation"}],"year_creation":1998},"legacy_ids":["bsg-000995","bsg-s000995"],"name":"FAIRsharing record for: Faceted Application of Subject Terminology","abbreviation":"FAST","url":"https://fairsharing.org/10.25504/FAIRsharing.p5df9c","doi":"10.25504/FAIRsharing.p5df9c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FAST (Faceted Application of Subject Terminology) is a nine-facet vocabulary derived from the Library of Congress Subject Headings (LCSH), and is one of the library domain's most widely used subject terminology schemas. The broad purpose of adapting the LCSH with a simplified syntax to create FAST is to retain the rich vocabulary of LCSH while making the schema easier to understand, control, apply, and use. The schema maintains upward compatibility with LCSH, and any valid set of LC subject headings can be converted to FAST headings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":409,"relation":"undefined"}],"grants":[{"id":7634,"fairsharing_record_id":1530,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:44.452Z","updated_at":"2021-09-30T09:28:44.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9030,"fairsharing_record_id":1530,"organisation_id":2222,"relation":"maintains","created_at":"2022-03-28T08:22:32.794Z","updated_at":"2022-03-28T08:22:32.794Z","grant_id":null,"is_lead":false,"saved_state":{"id":2222,"name":"OCLC","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1531","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:36:08.484Z","metadata":{"doi":"10.25504/FAIRsharing.e45arr","name":"OntoBiotope","status":"ready","contacts":[{"contact_name":"Claire Nédellec","contact_email":"claire.nedellec@jouy.inra.fr","contact_orcid":"0000-0002-0577-0595"}],"homepage":"http://dx.doi.org/10.15454/1.4382640528105164E12","identifier":1531,"description":"OntoBiotope is an ontology of microorganism habitats. Its modeling principle and its lexicon reflect the biotope classification used by biologists to describe microorganism isolation sites (e.g. GenBank, GOLD, ATCC). OntoBiotope is developed and maintained by the Meta-omics of Microbial Ecosystems (MEM) network in which 30 microbiologists from INRA (French National Institute for Agricultural Research) from all fields of applied microbiology participate. The relevance of OntoBiotope terms is evaluated through the PubMedBiotope semantic search engine. It identifies and categorizes microbial biotopes in all PubMed abstracts by applying the ToMap method (Text to Ontology Mapping) to the OntoBiotope ontology. It also indexes 3,35 millions relations between taxa and their habitats.","abbreviation":"OntoBiotope","support_links":[{"url":"http://bibliome.jouy.inra.fr/MEM-OntoBiotope/about.html","name":"About OntoBiotope","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001117","bsg-s001117"],"name":"FAIRsharing record for: OntoBiotope","abbreviation":"OntoBiotope","url":"https://fairsharing.org/10.25504/FAIRsharing.e45arr","doi":"10.25504/FAIRsharing.e45arr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoBiotope is an ontology of microorganism habitats. Its modeling principle and its lexicon reflect the biotope classification used by biologists to describe microorganism isolation sites (e.g. GenBank, GOLD, ATCC). OntoBiotope is developed and maintained by the Meta-omics of Microbial Ecosystems (MEM) network in which 30 microbiologists from INRA (French National Institute for Agricultural Research) from all fields of applied microbiology participate. The relevance of OntoBiotope terms is evaluated through the PubMedBiotope semantic search engine. It identifies and categorizes microbial biotopes in all PubMed abstracts by applying the ToMap method (Text to Ontology Mapping) to the OntoBiotope ontology. It also indexes 3,35 millions relations between taxa and their habitats.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12531}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Life Science"],"domains":["Text mining","Ecosystem"],"taxonomies":["Bacteria"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1302,"relation":"undefined"}],"grants":[{"id":7635,"fairsharing_record_id":1531,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:44.493Z","updated_at":"2021-09-30T09:28:44.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7637,"fairsharing_record_id":1531,"organisation_id":1826,"relation":"maintains","created_at":"2021-09-30T09:28:44.599Z","updated_at":"2021-09-30T09:28:44.599Z","grant_id":null,"is_lead":false,"saved_state":{"id":1826,"name":"Micalis Institute, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1536","type":"fairsharing_records","attributes":{"created_at":"2020-10-21T17:30:03.000Z","updated_at":"2022-07-20T12:26:02.166Z","metadata":{"doi":"10.25504/FAIRsharing.RdHnQX","name":"BioSimulators conventions for the inputs, outputs, and capabilities of biosimulation software tools","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"https://docs.biosimulations.org/concepts/conventions","citations":[],"identifier":1536,"description":"The BioSimulators conventions encompass several conventions for biosimulation tools (see below). In combination with modeling languages such as Cell-ML and SBML, SED-ML, KISAO, and COMBINE/OMEX, the BioSimulators standards enable investigators to use compliant biosimulation tools to execute simulations with the same syntax and generate consistent results. (a) A format for describing the specifications of a biosimulation tool including its name and version; a description of the tool; the modeling frameworks (e.g., logical, constraint-based, kinetic), simulation algorithms (e.g., CVODE, FBA, SSA), and modeling formats (e.g., BNGL, SBML) that the tool supports; the parameters of each algorithm, their data types, and their default values; links to the tool and documentation about the tool; and additional metadata such as citations for the tool. (b) Specifications for the syntax and semantics of the inputs (command-line arguments) and outputs (reports and charts of simulation results) of command-line interfaces for biosimulation tools. (c) Specifications for (i) the entry points of Docker images of biosimulation tools and (ii) using Docker labels to annotate basic metadata about images such as the name and version of the simulation tool inside the image. (d) A format for describing reports of simulation results, including the numerical predictions, as well as metadata about the semantic meaning of each axis and each individual row and column.","abbreviation":"BioSimulators conventions","support_links":[{"url":"https://github.com/biosimulators/Biosimulators/issues/new/choose","name":"Issue tracker","type":"Github"},{"url":"info@biosimulators.org","name":"Email","type":"Support email"},{"url":"https://biosimulators.org/help/faq","name":"FAW","type":"Frequently Asked Questions (FAQs)"},{"url":"https://biosimulators.org/help","name":"Tutorial and help","type":"Help documentation"},{"url":"https://biosimulators.org/conventions/simulator-interfaces","name":"Simulator Interfaces Documentation","type":"Help documentation"},{"url":"https://biosimulators.org/conventions/simulator-specs","name":"Simulator Specification Documentation","type":"Help documentation"},{"url":"https://github.com/biosimulators/Biosimulators_simulator_template","name":"Template containerized simulator","type":"Github"},{"url":"https://biosimulators.org/conventions/simulation-reports","name":"Simulation Reports Documentation","type":"Help documentation"},{"url":"https://biosimulators.org/conventions/simulator-images","name":"Simulator Docker Images Documentation","type":"Help documentation"}],"year_creation":2020},"legacy_ids":["bsg-001536","bsg-s001536"],"name":"FAIRsharing record for: BioSimulators conventions for the inputs, outputs, and capabilities of biosimulation software tools","abbreviation":"BioSimulators conventions","url":"https://fairsharing.org/10.25504/FAIRsharing.RdHnQX","doi":"10.25504/FAIRsharing.RdHnQX","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioSimulators conventions encompass several conventions for biosimulation tools (see below). In combination with modeling languages such as Cell-ML and SBML, SED-ML, KISAO, and COMBINE/OMEX, the BioSimulators standards enable investigators to use compliant biosimulation tools to execute simulations with the same syntax and generate consistent results. (a) A format for describing the specifications of a biosimulation tool including its name and version; a description of the tool; the modeling frameworks (e.g., logical, constraint-based, kinetic), simulation algorithms (e.g., CVODE, FBA, SSA), and modeling formats (e.g., BNGL, SBML) that the tool supports; the parameters of each algorithm, their data types, and their default values; links to the tool and documentation about the tool; and additional metadata such as citations for the tool. (b) Specifications for the syntax and semantics of the inputs (command-line arguments) and outputs (reports and charts of simulation results) of command-line interfaces for biosimulation tools. (c) Specifications for (i) the entry points of Docker images of biosimulation tools and (ii) using Docker labels to annotate basic metadata about images such as the name and version of the simulation tool inside the image. (d) A format for describing reports of simulation results, including the numerical predictions, as well as metadata about the semantic meaning of each axis and each individual row and column.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Biology","Systems Biology"],"domains":["Mathematical model","Kinetic model","Biological network analysis","Software"],"taxonomies":["Not applicable"],"user_defined_tags":["Genome Scale Metabolic Model","Multi-scale model"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":319,"relation":"undefined"}],"grants":[{"id":7648,"fairsharing_record_id":1536,"organisation_id":437,"relation":"maintains","created_at":"2021-09-30T09:28:45.068Z","updated_at":"2021-09-30T09:28:45.068Z","grant_id":null,"is_lead":true,"saved_state":{"id":437,"name":"Center for Reproducible Biomedical Modeling","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7647,"fairsharing_record_id":1536,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:28:45.028Z","updated_at":"2021-09-30T09:32:45.220Z","grant_id":1762,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41EB023912","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1537","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:18.340Z","metadata":{"doi":"10.25504/FAIRsharing.pwvtn5","name":"NeuroML","status":"ready","contacts":[{"contact_name":"Padraig Gleeson","contact_email":"neuroml-technology@lists.sourceforge.net","contact_orcid":"0000-0001-5963-8576"}],"homepage":"http://www.neuroml.org","identifier":1537,"description":"NeuroML is a model description language developed in XML (extensible Markup Language) that was created to facilitate data archiving, data and model exchange, database creation, and model publication in the neurosciences. One of the goals of the NeuroML project is to develop standards for model specification that will allow for greater simulator interoperability and model exchange.","abbreviation":"NeuroML","support_links":[{"url":"http://www.neuroml.org/introduction.php","type":"Help documentation"},{"url":"http://sourceforge.net/p/neuroml/mailman/neuroml-technology/","type":"Help documentation"}],"year_creation":2001,"associated_tools":[{"url":"https://github.com/NeuroML/jNeuroML","name":"jNeuroML"}]},"legacy_ids":["bsg-000123","bsg-s000123"],"name":"FAIRsharing record for: NeuroML","abbreviation":"NeuroML","url":"https://fairsharing.org/10.25504/FAIRsharing.pwvtn5","doi":"10.25504/FAIRsharing.pwvtn5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeuroML is a model description language developed in XML (extensible Markup Language) that was created to facilitate data archiving, data and model exchange, database creation, and model publication in the neurosciences. One of the goals of the NeuroML project is to develop standards for model specification that will allow for greater simulator interoperability and model exchange.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10846},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11147},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11876},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11949},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12202},{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12385},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16944}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Cellular Neuroscience","Neurobiology","Computational Neuroscience","Life Science","Neuroscience"],"domains":["Mathematical model","Network model","Modeling and simulation","Assay","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Brazil","France","India","United Kingdom","United States"],"publications":[{"id":1802,"pubmed_id":11545699,"title":"Towards NeuroML: model description methods for collaborative modelling in neuroscience.","year":2001,"url":"http://doi.org/10.1098/rstb.2001.0910","authors":"Goddard NH,Hucka M,Howell F,Cornelis H,Shankar K,Beeman D","journal":"Philos Trans R Soc Lond B Biol Sci","doi":"10.1098/rstb.2001.0910","created_at":"2021-09-30T08:25:42.321Z","updated_at":"2021-09-30T08:25:42.321Z"},{"id":2754,"pubmed_id":25309419,"title":"LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2.","year":2014,"url":"http://doi.org/10.3389/fninf.2014.00079","authors":"Cannon RC,Gleeson P,Crook S,Ganapathy G,Marin B,Piasini E,Silver RA","journal":"Front Neuroinform","doi":"10.3389/fninf.2014.00079","created_at":"2021-09-30T08:27:38.539Z","updated_at":"2021-09-30T08:27:38.539Z"},{"id":2755,"pubmed_id":20585541,"title":"NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.","year":2010,"url":"http://doi.org/10.1371/journal.pcbi.1000815","authors":"Gleeson P,Crook S,Cannon RC,Hines ML,Billings GO,Farinella M,Morse TM,Davison AP,Ray S,Bhalla US,Barnes SR,Dimitrova YD,Silver RA","journal":"PLoS Comput Biol","doi":"10.1371/journal.pcbi.1000815","created_at":"2021-09-30T08:27:38.656Z","updated_at":"2021-09-30T08:27:38.656Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":2096,"relation":"undefined"}],"grants":[{"id":7649,"fairsharing_record_id":1537,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:45.107Z","updated_at":"2021-09-30T09:30:52.241Z","grant_id":911,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"086699","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7651,"fairsharing_record_id":1537,"organisation_id":2142,"relation":"maintains","created_at":"2021-09-30T09:28:45.177Z","updated_at":"2021-09-30T09:28:45.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":2142,"name":"NeuroML community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7650,"fairsharing_record_id":1537,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:28:45.140Z","updated_at":"2021-09-30T09:31:26.227Z","grant_id":1168,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"G0400598","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7652,"fairsharing_record_id":1537,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:45.219Z","updated_at":"2021-09-30T09:31:26.809Z","grant_id":1172,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"005490","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1538","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T10:54:21.000Z","updated_at":"2024-03-17T19:43:53.029Z","metadata":{"doi":"10.25504/FAIRsharing.0b7e54","name":"Handle","status":"ready","contacts":[{"contact_name":"Handle Administrators","contact_email":"hdladmin@cnri.reston.va.us"}],"homepage":"http://handle.net","citations":[],"identifier":1538,"description":"The Handle System is the Corporation for National Research Initiatives's proprietary registry assigning persistent identifiers, or handles, to information resources, and for resolving \"those handles into the information necessary to locate, access, and otherwise make use of the resources\". As with handles used elsewhere in computing, Handle System handles are opaque, and encode no information about the underlying resource, being bound only to metadata regarding the resource. Consequently, the handles are not rendered invalid by changes to the metadata.","abbreviation":"hdl","support_links":[{"url":"http://www.handle.net/hnr_support.html","name":"Handle Support","type":"Help documentation"},{"url":"http://www.handle.net/hnr_documentation.html","name":"Handle Documentation","type":"Help documentation"},{"url":"http://www.handle.net/prefix.html","name":"Prefix Registration Documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Handle_System","name":"Wikipedia Entry: Handle System","type":"Wikipedia"}],"year_creation":1994,"associated_tools":[{"url":"http://www.handle.net/download_hnr.html","name":"Handle.Net Software"}],"cross_references":[{"url":"https://bioregistry.io/registry/hdl","name":"Bioregistry","portal":"Other"}],"regular_expression":"^\\d+/.+$"},"legacy_ids":["bsg-001187","bsg-s001187"],"name":"FAIRsharing record for: Handle","abbreviation":"hdl","url":"https://fairsharing.org/10.25504/FAIRsharing.0b7e54","doi":"10.25504/FAIRsharing.0b7e54","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Handle System is the Corporation for National Research Initiatives's proprietary registry assigning persistent identifiers, or handles, to information resources, and for resolving \"those handles into the information necessary to locate, access, and otherwise make use of the resources\". As with handles used elsewhere in computing, Handle System handles are opaque, and encode no information about the underlying resource, being bound only to metadata regarding the resource. Consequently, the handles are not rendered invalid by changes to the metadata.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17383}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Handle System Public License Agreement Version 2","licence_id":376,"licence_url":"http://www.handle.net/HSj/hdlnet-2-LICENSE.pdf","link_id":2001,"relation":"undefined"},{"licence_name":"Handle System Service Agreement Version 3","licence_id":377,"licence_url":"http://www.handle.net/HSj/hdlnet-2-SVC-AGREE-3.pdf","link_id":2002,"relation":"undefined"}],"grants":[{"id":7653,"fairsharing_record_id":1538,"organisation_id":615,"relation":"maintains","created_at":"2021-09-30T09:28:45.257Z","updated_at":"2021-09-30T09:28:45.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":615,"name":"Corporation for National Research Initiatives (CNRI), USA","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":9559,"fairsharing_record_id":1538,"organisation_id":566,"relation":"collaborates_on","created_at":"2022-05-25T00:57:50.334Z","updated_at":"2022-05-25T00:57:50.334Z","grant_id":null,"is_lead":false,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure, European Research Infrastructure Consortium, Utrecht University","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":9560,"fairsharing_record_id":1538,"organisation_id":588,"relation":"collaborates_on","created_at":"2022-05-25T00:57:50.373Z","updated_at":"2022-05-25T00:57:50.373Z","grant_id":null,"is_lead":false,"saved_state":{"id":588,"name":"Computer Network Information Center, Chinese Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9561,"fairsharing_record_id":1538,"organisation_id":3535,"relation":"collaborates_on","created_at":"2022-05-25T00:57:50.475Z","updated_at":"2022-05-25T00:57:50.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":3535,"name":"CSC – IT CENTER FOR SCIENCE LTD.","types":["Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1539","type":"fairsharing_records","attributes":{"created_at":"2021-07-07T09:30:30.000Z","updated_at":"2024-04-18T13:56:48.797Z","metadata":{"doi":"10.25504/FAIRsharing.e0b3b3","name":"FAIR chemical structure template","status":"ready","contacts":[{"contact_name":"Emma Schymanski","contact_email":"emma.schymanski@uni.lu"}],"homepage":"https://doi.org/10.1186/s13321-021-00520-4","citations":[{"doi":"10.1186/s13321-021-00520-4","pubmed_id":null,"publication_id":2793}],"identifier":1539,"description":"Open specification that describes how chemical structures in journal articles can be shared in a FAIR way.","abbreviation":null,"support_links":[{"url":"bolton@ncbi.nlm.nih.gov","name":"Evan Bolton","type":"Support email"}],"year_creation":2021},"legacy_ids":["bsg-001622","bsg-s001622"],"name":"FAIRsharing record for: FAIR chemical structure template","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.e0b3b3","doi":"10.25504/FAIRsharing.e0b3b3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open specification that describes how chemical structures in journal articles can be shared in a FAIR way.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Luxembourg","United States"],"publications":[{"id":2793,"pubmed_id":null,"title":"FAIR chemical structures in the Journal of Cheminformatics","year":2021,"url":"http://doi.org/10.1186/s13321-021-00520-4","authors":"Emma Schymanski, Evan Bolton","journal":"Journal of Cheminformatics","doi":"10.1186/s13321-021-00520-4","created_at":"2021-09-30T08:27:43.434Z","updated_at":"2021-09-30T08:27:43.434Z"},{"id":4254,"pubmed_id":null,"title":"FAIRifying the exposome journal: Templates for chemical structures and transformations","year":2021,"url":"http://dx.doi.org/10.1093/exposome/osab006","authors":"Schymanski, Emma L; Bolton, Evan E; ","journal":"Exposome","doi":"10.1093/exposome/osab006","created_at":"2024-04-17T04:15:29.280Z","updated_at":"2024-04-17T04:15:29.280Z"},{"id":4255,"pubmed_id":null,"title":"ShinyTPs: Curating Transformation Products from Text Mining Results","year":2023,"url":"http://dx.doi.org/10.1021/acs.estlett.3c00537","authors":"Palm, Emma H.; Chirsir, Parviel; Krier, Jessy; Thiessen, Paul A.; Zhang, Jian; Bolton, Evan E.; Schymanski, Emma L.; ","journal":"Environ. Sci. Technol. Lett.","doi":"10.1021/acs.estlett.3c00537","created_at":"2024-04-18T07:07:35.292Z","updated_at":"2024-04-18T07:07:35.292Z"},{"id":4256,"pubmed_id":null,"title":"Adding open spectral data to MassBank and PubChem using open source tools to support non-targeted exposomics of mixtures","year":2023,"url":"http://dx.doi.org/10.1039/D3EM00181D","authors":"Elapavalore, Anjana; Kondić, Todor; Singh, Randolph R.; Shoemaker, Benjamin A.; Thiessen, Paul A.; Zhang, Jian; Bolton, Evan E.; Schymanski, Emma L.; ","journal":"Environ. Sci.: Processes Impacts","doi":"10.1039/d3em00181d","created_at":"2024-04-18T07:15:24.499Z","updated_at":"2024-04-18T07:15:24.499Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2379,"relation":"undefined"}],"grants":[{"id":7654,"fairsharing_record_id":1539,"organisation_id":1543,"relation":"funds","created_at":"2021-09-30T09:28:45.290Z","updated_at":"2021-09-30T09:28:45.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":1543,"name":"Intramural Research Program (IRP) of the National Institutes of Health, Bethesda, MD","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7656,"fairsharing_record_id":1539,"organisation_id":1735,"relation":"funds","created_at":"2021-09-30T09:28:45.365Z","updated_at":"2021-09-30T09:30:08.771Z","grant_id":571,"is_lead":false,"saved_state":{"id":1735,"name":"Luxembourg National Research Fund (FNR), Luxembourg","grant":"A18/BM/12341006","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7655,"fairsharing_record_id":1539,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:28:45.327Z","updated_at":"2021-09-30T09:28:45.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7657,"fairsharing_record_id":1539,"organisation_id":1734,"relation":"maintains","created_at":"2021-09-30T09:28:45.397Z","updated_at":"2021-09-30T09:28:45.397Z","grant_id":null,"is_lead":false,"saved_state":{"id":1734,"name":"Luxembourg Centre for Systems Biomedicine (LCSB), Luxembourg, Luxembourg","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1540","type":"fairsharing_records","attributes":{"created_at":"2019-04-26T09:37:56.000Z","updated_at":"2022-07-20T12:41:54.461Z","metadata":{"doi":"10.25504/FAIRsharing.3CCrPF","name":"PyNN","status":"ready","contacts":[],"homepage":"https://neuralensemble.org/PyNN/","citations":[{"doi":"10.3389/neuro.11.011.2008","pubmed_id":19194529,"publication_id":2344}],"identifier":1540,"description":"The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowing access to the details of individual neurons and synapses when required. PyNN provides a library of standard neuron, synapse and synaptic plasticity models, which have been verified to work the same on the different supported simulators. PyNN also provides a set of commonly-used connectivity algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes it easy to provide your own connectivity in a simulator-independent way, either using the Connection Set Algebra or by writing your own Python code. PyNN has been developed as a procedural description in Python which can be used to instantiate a network across multiple simulators.","abbreviation":"PyNN","support_links":[{"url":"https://groups.google.com/forum/#!forum/neuralensemble","name":"NeuralEnsemble Forum","type":"Forum"},{"url":"https://github.com/NeuralEnsemble/PyNN/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://neuralensemble.org/docs/PyNN/","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/NeuralEnsemble/PyNN/","name":"GitHub Repository","type":"Github"}],"year_creation":2008,"associated_tools":[{"url":"https://pypi.org/project/PyNN/","name":"PyNN 0.9.4"}]},"legacy_ids":["bsg-001366","bsg-s001366"],"name":"FAIRsharing record for: PyNN","abbreviation":"PyNN","url":"https://fairsharing.org/10.25504/FAIRsharing.3CCrPF","doi":"10.25504/FAIRsharing.3CCrPF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowing access to the details of individual neurons and synapses when required. PyNN provides a library of standard neuron, synapse and synaptic plasticity models, which have been verified to work the same on the different supported simulators. PyNN also provides a set of commonly-used connectivity algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes it easy to provide your own connectivity in a simulator-independent way, either using the Connection Set Algebra or by writing your own Python code. PyNN has been developed as a procedural description in Python which can be used to instantiate a network across multiple simulators.","linked_records":[],"linking_records":[{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12388}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology","Developmental Neurobiology","Computational Neuroscience"],"domains":["Biological network analysis","Network model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","France","Germany","Switzerland"],"publications":[{"id":2344,"pubmed_id":19194529,"title":"PyNN: A Common Interface for Neuronal Network Simulators.","year":2009,"url":"http://doi.org/10.3389/neuro.11.011.2008","authors":"Davison AP,Bruderle D,Eppler J,Kremkow J,Muller E,Pecevski D,Perrinet L,Yger P","journal":"Front Neuroinform","doi":"10.3389/neuro.11.011.2008","created_at":"2021-09-30T08:26:48.018Z","updated_at":"2021-09-30T08:26:48.018Z"}],"licence_links":[{"licence_name":"CeCILL-B","licence_id":111,"licence_url":"https://cecill.info/licences/Licence_CeCILL-B_V1-en.html","link_id":2419,"relation":"undefined"}],"grants":[{"id":7658,"fairsharing_record_id":1540,"organisation_id":2137,"relation":"maintains","created_at":"2021-09-30T09:28:45.421Z","updated_at":"2021-09-30T09:28:45.421Z","grant_id":null,"is_lead":true,"saved_state":{"id":2137,"name":"NeuralEnsemble","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1545","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:04.000Z","updated_at":"2022-07-20T12:48:42.672Z","metadata":{"doi":"10.25504/FAIRsharing.49bmk","name":"AnaEE Thesaurus","status":"ready","contacts":[{"contact_name":"Christian Pichot","contact_email":"christian.pichot@inrae.fr","contact_orcid":"0000-0003-1636-9438"}],"homepage":"https://lovinra.inra.fr/2017/03/13/thesaurus-anaee/","identifier":1545,"description":"The anaeeThes thesaurus aims at providing a controlled vocabulary for the semantic description of the study of continental ecosystems and their biodiversity. The thesaurus consists of concepts handled in different main thematic areas: abiotic (e.g. atmosphere, climate, hydrosphere, litosphere); biotic (e.g. animals, plants, micro-organisms, biodiversity); chemical compounds; experimentation and observation (e.g. instrument, method, protocol, measurement, quality, infrastructure); ecosystems (e.g. type, structure, functioning); modeling (e.g. formalism, platform, type of model, computer language); disciplines (disciplinary and scientific fields); and unit (units of the international system, inherited from the OBOE-standards ontology).","abbreviation":"anaeeThes","support_links":[{"url":"christian.pichot@inrae.fr","name":"Christian Pichot","type":"Support email"},{"url":"andre.chanzy@inra.fr","name":"Andre Chanzy","type":"Support email"},{"url":"philippe.clastre@inrae.fr","name":"Philippe Clastre","type":"Support email"}],"year_creation":2017},"legacy_ids":["bsg-001096","bsg-s001096"],"name":"FAIRsharing record for: AnaEE Thesaurus","abbreviation":"anaeeThes","url":"https://fairsharing.org/10.25504/FAIRsharing.49bmk","doi":"10.25504/FAIRsharing.49bmk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The anaeeThes thesaurus aims at providing a controlled vocabulary for the semantic description of the study of continental ecosystems and their biodiversity. The thesaurus consists of concepts handled in different main thematic areas: abiotic (e.g. atmosphere, climate, hydrosphere, litosphere); biotic (e.g. animals, plants, micro-organisms, biodiversity); chemical compounds; experimentation and observation (e.g. instrument, method, protocol, measurement, quality, infrastructure); ecosystems (e.g. type, structure, functioning); modeling (e.g. formalism, platform, type of model, computer language); disciplines (disciplinary and scientific fields); and unit (units of the international system, inherited from the OBOE-standards ontology).","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11738}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Agricultural Engineering","Ecology","Biodiversity","Atmospheric Science","Ecosystem Science"],"domains":["Experimental measurement","Ecosystem","Modeling and simulation","Protocol","Device","Unit"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":846,"relation":"undefined"}],"grants":[{"id":7666,"fairsharing_record_id":1545,"organisation_id":2367,"relation":"maintains","created_at":"2021-09-30T09:28:45.707Z","updated_at":"2021-09-30T09:28:45.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":2367,"name":"Programme d'Investissements d'Avenir, National Research Agency (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7667,"fairsharing_record_id":1545,"organisation_id":92,"relation":"maintains","created_at":"2021-09-30T09:28:45.740Z","updated_at":"2021-09-30T09:28:45.740Z","grant_id":null,"is_lead":true,"saved_state":{"id":92,"name":"Analysis and Experimentation on Ecosystems (AnaEE), France","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7665,"fairsharing_record_id":1545,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:28:45.670Z","updated_at":"2021-09-30T09:30:26.357Z","grant_id":711,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"11-INBS-0001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1546","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:56:33.766Z","metadata":{"doi":"10.25504/FAIRsharing.5970hq","name":"OBOE: The Extensible Observation Ontology","status":"ready","contacts":[{"contact_name":"Bryce Mecum","contact_email":"mecum@nceas.ucsb.edu","contact_orcid":"0000-0002-0381-3766"}],"homepage":"https://github.com/NCEAS/oboe/","citations":[{"publication_id":1886}],"identifier":1546,"description":"OBOE is a suite of OWL-DL ontologies for modeling and representing scientific observations. The OBOE model is designed as a generic data model with a number of constructs for defining observational data. Key features of OBOE include its ability to represent a wide range of measurement types, a mechanism for specifying measurement context, and the ability to associate the type of entity (e.g., sample, organism, etc.) being measured. OBOE is being used and developed within the Semtools project for describing a wide variety of ecological data stored within the Knowledge Network for Biodiversity (KNB) as well as extensions for ontology-based data annotation and discovery within the MetaCat software infrastructure.","abbreviation":"OBOE","support_links":[{"url":"semtools@ecoinformatics.org","name":"Contact Email","type":"Support email"},{"url":"https://github.com/NCEAS/oboe/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBOE","name":"OBOE","portal":"BioPortal"}]},"legacy_ids":["bsg-002680","bsg-s002680"],"name":"FAIRsharing record for: OBOE: The Extensible Observation Ontology","abbreviation":"OBOE","url":"https://fairsharing.org/10.25504/FAIRsharing.5970hq","doi":"10.25504/FAIRsharing.5970hq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OBOE is a suite of OWL-DL ontologies for modeling and representing scientific observations. The OBOE model is designed as a generic data model with a number of constructs for defining observational data. Key features of OBOE include its ability to represent a wide range of measurement types, a mechanism for specifying measurement context, and the ability to associate the type of entity (e.g., sample, organism, etc.) being measured. OBOE is being used and developed within the Semtools project for describing a wide variety of ecological data stored within the Knowledge Network for Biodiversity (KNB) as well as extensions for ontology-based data annotation and discovery within the MetaCat software infrastructure.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Ecology","Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Observations"],"countries":["United States"],"publications":[{"id":1886,"pubmed_id":null,"title":"An ontology for describing and synthesizing ecological observation data.","year":2007,"url":"https://doi.org/10.1016/j.ecoinf.2007.05.004","authors":"Madin, J., S. Bowers, M. Schildhauer, S. Krivov, D. Pennington, and F. Villa.","journal":"Ecological Informatics","doi":null,"created_at":"2021-09-30T08:25:52.157Z","updated_at":"2021-09-30T08:25:52.157Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":470,"relation":"undefined"}],"grants":[{"id":7668,"fairsharing_record_id":1546,"organisation_id":2210,"relation":"maintains","created_at":"2021-09-30T09:28:45.778Z","updated_at":"2021-09-30T09:28:45.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":2210,"name":"OBOE Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8102,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:58.313Z","updated_at":"2021-09-30T09:30:58.367Z","grant_id":959,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0225676","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7669,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:45.816Z","updated_at":"2021-09-30T09:29:10.078Z","grant_id":122,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0743429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7882,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:24.048Z","updated_at":"2021-09-30T09:29:24.105Z","grant_id":232,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0753144","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8310,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:01.387Z","updated_at":"2021-09-30T09:32:01.441Z","grant_id":1432,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1430508","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1579","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:23.689Z","metadata":{"doi":"10.25504/FAIRsharing.v0hbjs","name":"Encyclopedia of DNA Elements","status":"ready","contacts":[{"contact_name":"Idan Gabdank","contact_email":"gabdank@stanford.edu","contact_orcid":"0000-0001-5025-5886"},{"contact_name":"Meenakshi Kagda","contact_email":"mkagda@stanford.edu","contact_orcid":null}],"homepage":"https://www.encodeproject.org/","citations":[],"identifier":1579,"description":"The ENCODE (Encyclopedia of DNA Elements) Consortium is an international collaboration of research groups funded by the National Human Genome Research Institute (NHGRI). The goal of ENCODE is to build a comprehensive parts list of functional elements in the human genome including elements that act at the protein and RNA levels, and regulatory elements that control cells and circumstances in which a gene is active. ENCODE investigators employ a variety of assays and methods to identify functional elements. The discovery and annotation of gene elements is accomplished primarily by sequencing a diverse range of RNA sources, comparative genomics, integrative bioinformatic methods, and human curation. Regulatory elements are typically investigated through DNA hypersensitivity assays, assays of DNA methylation, and immunoprecipitation (IP) of proteins that interact with DNA and RNA, i.e., modified histones, transcription factors, chromatin regulators, and RNA-binding proteins, followed by sequencing.","abbreviation":"ENCODE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://genome.ucsc.edu/ENCODE/FAQ/index.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://mailman.stanford.edu/mailman/listinfo/encode-announce","type":"Mailing list"},{"url":"http://www.openhelix.com/ENCODE2/","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/ENCODE","type":"Wikipedia"},{"url":"http://genome.ucsc.edu/ENCODE/newsarch.html","name":"News Archive","type":"Blog/News"},{"url":"encode-help@lists.stanford.edu","type":"Support email"},{"url":"https://www.encodeproject.org/help/faq/","name":"ENCODE Portal FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://scicrunch.org/resolver/RRID:SCR_015482","name":"SciCrunch:RRID:SCR_015482","portal":"SciCrunch"},{"url":"https://www.re3data.org/repository/r3d100013051","name":" re3data:r3d100013051","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.encodeproject.org/help/submission/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000034","bsg-d000034"],"name":"FAIRsharing record for: Encyclopedia of DNA Elements","abbreviation":"ENCODE","url":"https://fairsharing.org/10.25504/FAIRsharing.v0hbjs","doi":"10.25504/FAIRsharing.v0hbjs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ENCODE (Encyclopedia of DNA Elements) Consortium is an international collaboration of research groups funded by the National Human Genome Research Institute (NHGRI). The goal of ENCODE is to build a comprehensive parts list of functional elements in the human genome including elements that act at the protein and RNA levels, and regulatory elements that control cells and circumstances in which a gene is active. ENCODE investigators employ a variety of assays and methods to identify functional elements. The discovery and annotation of gene elements is accomplished primarily by sequencing a diverse range of RNA sources, comparative genomics, integrative bioinformatic methods, and human curation. Regulatory elements are typically investigated through DNA hypersensitivity assays, assays of DNA methylation, and immunoprecipitation (IP) of proteins that interact with DNA and RNA, i.e., modified histones, transcription factors, chromatin regulators, and RNA-binding proteins, followed by sequencing.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12577}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Epigenetics"],"domains":["Nucleic acid sequence","DNA sequence data","Genome annotation","Histone","Cap Analysis Gene Expression","Chromatin binding","DNA methylation","Biological regulation","Transcription factor","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Chromatin Interaction Analysis by Paired-End Tag sequencing","Transcript analysis by paired-end tag sequencing","Regulatory region"],"taxonomies":["Caenorhabditis","Drosophila","Homo sapiens","Mus musculus"],"user_defined_tags":["RNA-binding protein target sites"],"countries":["United States"],"publications":[{"id":1048,"pubmed_id":25776021,"title":"Ontology application and use at the ENCODE DCC.","year":2015,"url":"http://doi.org/10.1093/database/bav010","authors":"Malladi VS,Erickson DT,Podduturi NR,Rowe LD,Chan ET,Davidson JM,Hitz BC,Ho M,Lee BT,Miyasato S,Roe GR,Simison M,Sloan CA,Strattan JS,Tanaka F,Kent WJ,Cherry JM,Hong EL","journal":"Database (Oxford)","doi":"10.1093/database/bav010","created_at":"2021-09-30T08:24:16.049Z","updated_at":"2021-09-30T08:24:16.049Z"},{"id":1301,"pubmed_id":23193274,"title":"ENCODE data in the UCSC Genome Browser: year 5 update","year":2012,"url":"http://doi.org/10.1093/nar/gks1172","authors":"Rosenbloom KR, Sloan CA, Malladi VS, Dreszer TR, Learned K, Kirkup VM, Wong MC, Maddren M, Fang R, Heitner SG, Lee BT, Barber GP, Harte RA, Diekhans M, Long JC, Wilder SP, Zweig AS, Karolchik D, Kuhn RM, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1172","created_at":"2021-09-30T08:24:45.301Z","updated_at":"2021-09-30T08:24:45.301Z"},{"id":1539,"pubmed_id":21037257,"title":"ENCODE whole-genome data in the UCSC genome browser (2011 update)","year":2010,"url":"http://doi.org/10.1093/nar/gkq1017","authors":"Raney BJ, Cline MS, Rosenbloom KR, Dreszer TR, Learned K, Barber GP, Meyer LR, Sloan CA, Malladi VS, Roskin KM, Suh BB, Hinrichs AS, Clawson H, Zweig AS, Kirkup V, Fujita PA, Rhead B, Smith KE, Pohl A, Kuhn RM, Karolchik D, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1017","created_at":"2021-09-30T08:25:12.386Z","updated_at":"2021-09-30T08:25:12.386Z"},{"id":2112,"pubmed_id":26527727,"title":"ENCODE data at the ENCODE portal.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1160","authors":"Sloan CA,Chan ET,Davidson JM,Malladi VS,Strattan JS,Hitz BC,Gabdank I,Narayanan AK,Ho M,Lee BT,Rowe LD,Dreszer TR,Roe G,Podduturi NR,Tanaka F,Hong EL,Cherry JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1160","created_at":"2021-09-30T08:26:18.147Z","updated_at":"2021-09-30T11:29:29.444Z"},{"id":2113,"pubmed_id":26980513,"title":"Principles of metadata organization at the ENCODE data coordination center.","year":2016,"url":"http://doi.org/10.1093/database/baw001","authors":"Hong EL,Sloan CA,Chan ET,Davidson JM,Malladi VS,Strattan JS,Hitz BC,Gabdank I,Narayanan AK,Ho M,Lee BT,Rowe LD,Dreszer TR,Roe GR,Podduturi NR,Tanaka F,Hilton JA,Cherry JM","journal":"Database (Oxford)","doi":"10.1093/database/baw001","created_at":"2021-09-30T08:26:18.249Z","updated_at":"2021-09-30T08:26:18.249Z"},{"id":3084,"pubmed_id":22075998,"title":"ENCODE whole-genome data in the UCSC Genome Browser: update 2012.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1012","authors":"Rosenbloom KR, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1012","created_at":"2021-09-30T08:28:20.008Z","updated_at":"2021-09-30T08:28:20.008Z"},{"id":3085,"pubmed_id":19920125,"title":"ENCODE whole-genome data in the UCSC Genome Browser","year":2009,"url":"http://doi.org/10.1093/nar/gkp961","authors":"Rosenbloom KR, Dreszer TR, Pheasant M, Barber GP, Meyer LR, Pohl A, Raney BJ, Wang T, Hinrichs AS, Zweig AS, Fujita PA, Learned K, Rhead B, Smith KE, Kuhn RM, Karolchik D, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp961","created_at":"2021-09-30T08:28:20.134Z","updated_at":"2021-09-30T08:28:20.134Z"},{"id":3094,"pubmed_id":17166863,"title":"The ENCODE project at UC Santa Cruz","year":2006,"url":"http://doi.org/10.1093/nar/gkl1017","authors":"Thomas DJ, Rosenbloom KR, Clawson H, Hinrichs, AS, Trumbower H, Raney BJ, Karolchik D, Barber GP, Harte RA, Hillman-Jackson J, Kuhn RM, Rhead BL, Smith KE, Thakkapallayil A, Zweig AS, The ENCODE Project Consortium, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl1017","created_at":"2021-09-30T08:28:21.226Z","updated_at":"2021-09-30T08:28:21.226Z"},{"id":3277,"pubmed_id":29126249,"title":"The Encyclopedia of DNA elements (ENCODE): data portal update.","year":2018,"url":"https://doi.org/10.1093/nar/gkx1081","authors":"Davis CA, Hitz BC, Sloan CA, Chan ET, Davidson JM, Gabdank I, Hilton JA, Jain K, Baymuradov UK, Narayanan AK, Onate KC, Graham K, Miyasato SR, Dreszer TR, Strattan JS, Jolanki O, Tanaka FY, Cherry JM","journal":"Nucleic acids research","doi":"10.1093/nar/gkx1081","created_at":"2022-03-25T15:30:05.734Z","updated_at":"2022-03-25T15:30:05.734Z"},{"id":3441,"pubmed_id":15499007,"title":"The ENCODE (ENCyclopedia Of DNA Elements) Project.","year":2004,"url":"https://pubmed.ncbi.nlm.nih.gov/15499007","authors":"ENCODE Project Consortium.","journal":"Science (New York, N.Y.)","doi":null,"created_at":"2022-06-17T16:57:23.021Z","updated_at":"2022-06-17T16:57:23.021Z"},{"id":3442,"pubmed_id":null,"title":"SnoVault and encodeD: A novel object-based storage system and applications to ENCODE metadata","year":2017,"url":"http://dx.doi.org/10.1371/journal.pone.0175310","authors":"Hitz, Benjamin C.; Rowe, Laurence D.; Podduturi, Nikhil R.; Glick, David I.; Baymuradov, Ulugbek K.; Malladi, Venkat S.; Chan, Esther T.; Davidson, Jean M.; Gabdank, Idan; Narayana, Aditi K.; Onate, Kathrina C.; Hilton, Jason; Ho, Marcus C.; Lee, Brian T.; Miyasato, Stuart R.; Dreszer, Timothy R.; Sloan, Cricket A.; Strattan, J. Seth; Tanaka, Forrest Y.; Hong, Eurie L.; Cherry, J. Michael; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0175310","created_at":"2022-06-17T17:03:37.608Z","updated_at":"2022-06-17T17:03:37.608Z"},{"id":3443,"pubmed_id":31751002,"title":"The ENCODE Portal as an Epigenomics Resource.","year":2019,"url":"https://doi.org/10.1002/cpbi.89","authors":"Jou J, Gabdank I, Luo Y, Lin K, Sud P, Myers Z, Hilton JA, Kagda MS, Lam B, O'Neill E, Adenekan P, Graham K, Baymuradov UK, R Miyasato S, Strattan JS, Jolanki O, Lee JW, Litton C, Y Tanaka F, Hitz BC, Cherry JM","journal":"Current protocols in bioinformatics","doi":"10.1002/cpbi.89","created_at":"2022-06-17T17:04:30.776Z","updated_at":"2022-06-17T17:04:30.776Z"},{"id":3444,"pubmed_id":null,"title":"Expanded encyclopaedias of DNA elements in the human and mouse genomes","year":2020,"url":"http://dx.doi.org/10.1038/s41586-020-2493-4","authors":"undefined, undefined; Abascal, Federico; Acosta, Reyes; Addleman, Nicholas J.; Adrian, Jessika; Afzal, Veena; Ai, Rizi; Aken, Bronwen; Akiyama, Jennifer A.; Jammal, Omar Al; Amrhein, Henry; Anderson, Stacie M.; Andrews, Gregory R.; Antoshechkin, Igor; Ardlie, Kristin G.; Armstrong, Joel; Astley, Matthew; Banerjee, Budhaditya; Barkal, Amira A.; Barnes, If H. A.; Barozzi, Iros; Barrell, Daniel; Barson, Gemma; Bates, Daniel; Baymuradov, Ulugbek K.; Bazile, Cassandra; Beer, Michael A.; Beik, Samantha; Bender, M. A.; Bennett, Ruth; Bouvrette, Louis Philip Benoit; Bernstein, Bradley E.; Berry, Andrew; Bhaskar, Anand; Bignell, Alexandra; Blue, Steven M.; Bodine, David M.; Boix, Carles; Boley, Nathan; Borrman, Tyler; Borsari, Beatrice; Boyle, Alan P.; Brandsmeier, Laurel A.; Breschi, Alessandra; Bresnick, Emery H.; Brooks, Jason A.; Buckley, Michael; Burge, Christopher B.; Byron, Rachel; Cahill, Eileen; Cai, Lingling; Cao, Lulu; Carty, Mark; Castanon, Rosa G.; Castillo, Andres; Chaib, Hassan; Chan, Esther T.; Chee, Daniel R.; Chee, Sora; Chen, Hao; Chen, Huaming; Chen, Jia-Yu; Chen, Songjie; Cherry, J. Michael; Chhetri, Surya B.; Choudhary, Jyoti S.; Chrast, Jacqueline; Chung, Dongjun; Clarke, Declan; Cody, Neal A. L.; Coppola, Candice J.; Coursen, Julie; D’Ippolito, Anthony M.; Dalton, Stephen; Danyko, Cassidy; Davidson, Claire; Davila-Velderrain, Jose; Davis, Carrie A.; Dekker, Job; Deran, Alden; DeSalvo, Gilberto; Despacio-Reyes, Gloria; Dewey, Colin N.; Dickel, Diane E.; Diegel, Morgan; Diekhans, Mark; Dileep, Vishnu; Ding, Bo; Djebali, Sarah; Dobin, Alexander; Dominguez, Daniel; Donaldson, Sarah; Drenkow, Jorg; Dreszer, Timothy R.; Drier, Yotam; Duff, Michael O.; Dunn, Douglass; Eastman, Catharine; Ecker, Joseph R.; Edwards, Matthew D.; El-Ali, Nicole; Elhajjajy, Shaimae I.; Elkins, Keri; Emili, Andrew; Epstein, Charles B.; Evans, Rachel C.; Ezkurdia, Iakes; Fan, Kaili; Farnham, Peggy J.; Farrell, Nina P.; Feingold, Elise A.; Ferreira, Anne-Maud; Fisher-Aylor, Katherine; Fitzgerald, Stephen; Flicek, Paul; Foo, Chuan Sheng; Fortier, Kevin; Frankish, Adam; Freese, Peter; Fu, Shaliu; Fu, Xiang-Dong; Fu, Yu; Fukuda-Yuzawa, Yoko; Fulciniti, Mariateresa; Funnell, Alister P. W.; Gabdank, Idan; Galeev, Timur; Gao, Mingshi; Giron, Carlos Garcia; Garvin, Tyler H.; Gelboin-Burkhart, Chelsea Anne; Georgolopoulos, Grigorios; Gerstein, Mark B.; Giardine, Belinda M.; Gifford, David K.; Gilbert, David M.; Gilchrist, Daniel A.; Gillespie, Shawn; Gingeras, Thomas R.; Gong, Peng; Gonzalez, Alvaro; Gonzalez, Jose M.; Good, Peter; Goren, Alon; Gorkin, David U.; Graveley, Brenton R.; Gray, Michael; Greenblatt, Jack F.; Griffiths, Ed; Groudine, Mark T.; Grubert, Fabian; Gu, Mengting; Guigó, Roderic; Guo, Hongbo; Guo, Yu; Guo, Yuchun; Gursoy, Gamze; Gutierrez-Arcelus, Maria; Halow, Jessica; Hardison, Ross C.; Hardy, Matthew; Hariharan, Manoj; Harmanci, Arif; Harrington, Anne; Harrow, Jennifer L.; Hashimoto, Tatsunori B.; Hasz, Richard D.; Hatan, Meital; Haugen, Eric; Hayes, James E.; He, Peng; He, Yupeng; Heidari, Nastaran; Hendrickson, David; Heuston, Elisabeth F.; Hilton, Jason A.; Hitz, Benjamin C.; Hochman, Abigail; Holgren, Cory; Hou, Lei; Hou, Shuyu; Hsiao, Yun-Hua E.; Hsu, Shanna; Huang, Hui; Hubbard, Tim J.; Huey, Jack; Hughes, Timothy R.; Hunt, Toby; Ibarrientos, Sean; Issner, Robbyn; Iwata, Mineo; Izuogu, Osagie; Jaakkola, Tommi; Jameel, Nader; Jansen, Camden; Jiang, Lixia; Jiang, Peng; Johnson, Audra; Johnson, Rory; Jungreis, Irwin; Kadaba, Madhura; Kasowski, Maya; Kasparian, Mary; Kato, Momoe; Kaul, Rajinder; Kawli, Trupti; Kay, Michael; Keen, Judith C.; Keles, Sunduz; Keller, Cheryl A.; Kelley, David; Kellis, Manolis; Kheradpour, Pouya; Kim, Daniel Sunwook; Kirilusha, Anthony; Klein, Robert J.; Knoechel, Birgit; Kuan, Samantha; Kulik, Michael J.; Kumar, Sushant; Kundaje, Anshul; Kutyavin, Tanya; Lagarde, Julien; Lajoie, Bryan R.; Lambert, Nicole J.; Lazar, John; Lee, Ah Young; Lee, Donghoon; Lee, Elizabeth; Lee, Jin Wook; Lee, Kristen; Leslie, Christina S.; Levy, Shawn; Li, Bin; Li, Hairi; Li, Nan; Li, Shantao; Li, Xiangrui; Li, Yang I.; Li, Ying; Li, Yining; Li, Yue; Lian, Jin; Libbrecht, Maxwell W.; Lin, Shin; Lin, Yiing; Liu, Dianbo; Liu, Jason; Liu, Peng; Liu, Tingting; Liu, X. Shirley; Liu, Yan; Liu, Yaping; Long, Maria; Lou, Shaoke; Loveland, Jane; Lu, Aiping; Lu, Yuheng; Lécuyer, Eric; Ma, Lijia; Mackiewicz, Mark; Mannion, Brandon J.; Mannstadt, Michael; Manthravadi, Deepa; Marinov, Georgi K.; Martin, Fergal J.; Mattei, Eugenio; McCue, Kenneth; McEown, Megan; McVicker, Graham; Meadows, Sarah K.; Meissner, Alex; Mendenhall, Eric M.; Messer, Christopher L.; Meuleman, Wouter; Meyer, Clifford; Miller, Steve; Milton, Matthew G.; Mishra, Tejaswini; Moore, Dianna E.; Moore, Helen M.; Moore, Jill E.; Moore, Samuel H.; Moran, Jennifer; Mortazavi, Ali; Mudge, Jonathan M.; Munshi, Nikhil; Murad, Rabi; Myers, Richard M.; Nandakumar, Vivek; Nandi, Preetha; Narasimha, Anil M.; Narayanan, Aditi K.; Naughton, Hannah; Navarro, Fabio C. P.; Navas, Patrick; Nazarovs, Jurijs; Nelson, Jemma; Neph, Shane; Neri, Fidencio Jun; Nery, Joseph R.; Nesmith, Amy R.; Newberry, J. Scott; Newberry, Kimberly M.; Ngo, Vu; Nguyen, Rosy; Nguyen, Thai B.; Nguyen, Tung; Nishida, Andrew; Noble, William S.; Novak, Catherine S.; Novoa, Eva Maria; Nuñez, Briana; O’Donnell, Charles W.; Olson, Sara; Onate, Kathrina C.; Otterman, Ericka; Ozadam, Hakan; Pagan, Michael; Palden, Tsultrim; Pan, Xinghua; Park, Yongjin; Partridge, E. Christopher; Paten, Benedict; Pauli-Behn, Florencia; Pazin, Michael J.; Pei, Baikang; Pennacchio, Len A.; Perez, Alexander R.; Perry, Emily H.; Pervouchine, Dmitri D.; Phalke, Nishigandha N.; Pham, Quan; Phanstiel, Doug H.; Plajzer-Frick, Ingrid; Pratt, Gabriel A.; Pratt, Henry E.; Preissl, Sebastian; Pritchard, Jonathan K.; Pritykin, Yuri; Purcaro, Michael J.; Qin, Qian; Quinones-Valdez, Giovanni; Rabano, Ines; Radovani, Ernest; Raj, Anil; Rajagopal, Nisha; Ram, Oren; Ramirez, Lucia; Ramirez, Ricardo N.; Rausch, Dylan; Raychaudhuri, Soumya; Raymond, Joseph; Razavi, Rozita; Reddy, Timothy E.; Reimonn, Thomas M.; Ren, Bing; Reymond, Alexandre; Reynolds, Alex; Rhie, Suhn K.; Rinn, John; Rivera, Miguel; Rivera-Mulia, Juan Carlos; Roberts, Brian S.; Rodriguez, Jose Manuel; Rozowsky, Joel; Ryan, Russell; Rynes, Eric; Salins, Denis N.; Sandstrom, Richard; Sasaki, Takayo; Sathe, Shashank; Savic, Daniel; Scavelli, Alexandra; Scheiman, Jonathan; Schlaffner, Christoph; Schloss, Jeffery A.; Schmitges, Frank W.; See, Lei Hoon; Sethi, Anurag; Setty, Manu; Shafer, Anthony; Shan, Shuo; Sharon, Eilon; Shen, Quan; Shen, Yin; Sherwood, Richard I.; Shi, Minyi; Shin, Sunyoung; Shoresh, Noam; Siebenthall, Kyle; Sisu, Cristina; Slifer, Teri; Sloan, Cricket A.; Smith, Anna; Snetkova, Valentina; Snyder, Michael P.; Spacek, Damek V.; Srinivasan, Sharanya; Srivas, Rohith; Stamatoyannopoulos, George; Stamatoyannopoulos, John A.; Stanton, Rebecca; Steffan, Dave; Stehling-Sun, Sandra; Strattan, J. Seth; Su, Amanda; Sundararaman, Balaji; Suner, Marie-Marthe; Syed, Tahin; Szynkarek, Matt; Tanaka, Forrest Y.; Tenen, Danielle; Teng, Mingxiang; Thomas, Jeffrey A.; Toffey, Dave; Tress, Michael L.; Trout, Diane E.; Trynka, Gosia; Tsuji, Junko; Upchurch, Sean A.; Ursu, Oana; Uszczynska-Ratajczak, Barbara; Uziel, Mia C.; Valencia, Alfonso; Biber, Benjamin Van; van der Velde, Arjan G.; Van Nostrand, Eric L.; Vaydylevich, Yekaterina; Vazquez, Jesus; Victorsen, Alec; Vielmetter, Jost; Vierstra, Jeff; Visel, Axel; Vlasova, Anna; Vockley, Christopher M.; Volpi, Simona; Vong, Shinny; Wang, Hao; Wang, Mengchi; Wang, Qin; Wang, Ruth; Wang, Tao; Wang, Wei; Wang, Xiaofeng; Wang, Yanli; Watson, Nathaniel K.; Wei, Xintao; Wei, Zhijie; Weisser, Hendrik; Weissman, Sherman M.; Welch, Rene; Welikson, Robert E.; Weng, Zhiping; Westra, Harm-Jan; Whitaker, John W.; White, Collin; White, Kevin P.; Wildberg, Andre; Williams, Brian A.; Wine, David; Witt, Heather N.; Wold, Barbara; Wolf, Maxim; Wright, James; Xiao, Rui; Xiao, Xinshu; Xu, Jie; Xu, Jinrui; Yan, Koon-Kiu; Yan, Yongqi; Yang, Hongbo; Yang, Xinqiong; Yang, Yi-Wen; Yardımcı, Galip Gürkan; Yee, Brian A.; Yeo, Gene W.; Young, Taylor; Yu, Tianxiong; Yue, Feng; Zaleski, Chris; Zang, Chongzhi; Zeng, Haoyang; Zeng, Weihua; Zerbino, Daniel R.; Zhai, Jie; Zhan, Lijun; Zhan, Ye; Zhang, Bo; Zhang, Jialing; Zhang, Jing; Zhang, Kai; Zhang, Lijun; Zhang, Peng; Zhang, Qi; Zhang, Xiao-Ou; Zhang, Yanxiao; Zhang, Zhizhuo; Zhao, Yuan; Zheng, Ye; Zhong, Guoqing; Zhou, Xiao-Qiao; Zhu, Yun; Zimmerman, Jared; Moore, Jill E.; Purcaro, Michael J.; Pratt, Henry E.; Epstein, Charles B.; Shoresh, Noam; Adrian, Jessika; Kawli, Trupti; Davis, Carrie A.; Dobin, Alexander; Kaul, Rajinder; Halow, Jessica; Van Nostrand, Eric L.; Freese, Peter; Gorkin, David U.; Shen, Yin; He, Yupeng; Mackiewicz, Mark; Pauli-Behn, Florencia; Williams, Brian A.; Mortazavi, Ali; Keller, Cheryl A.; Zhang, Xiao-Ou; Elhajjajy, Shaimae I.; Huey, Jack; Dickel, Diane E.; Snetkova, Valentina; Wei, Xintao; Wang, Xiaofeng; Rivera-Mulia, Juan Carlos; Rozowsky, Joel; Zhang, Jing; Chhetri, Surya B.; Zhang, Jialing; Victorsen, Alec; White, Kevin P.; Visel, Axel; Yeo, Gene W.; Burge, Christopher B.; Lécuyer, Eric; Gilbert, David M.; Dekker, Job; Rinn, John; Mendenhall, Eric M.; Ecker, Joseph R.; Kellis, Manolis; Klein, Robert J.; Noble, William S.; Kundaje, Anshul; Guigó, Roderic; Farnham, Peggy J.; Cherry, J. Michael; Myers, Richard M.; Ren, Bing; Graveley, Brenton R.; Gerstein, Mark B.; Pennacchio, Len A.; Snyder, Michael P.; Bernstein, Bradley E.; Wold, Barbara; Hardison, Ross C.; Gingeras, Thomas R.; Stamatoyannopoulos, John A.; Weng, Zhiping; ","journal":"Nature","doi":"10.1038/s41586-020-2493-4","created_at":"2022-06-17T17:05:21.340Z","updated_at":"2022-06-17T17:05:21.340Z"},{"id":3445,"pubmed_id":null,"title":"Perspectives on ENCODE","year":2020,"url":"http://dx.doi.org/10.1038/s41586-020-2449-8","authors":"undefined, undefined; Abascal, Federico; Acosta, Reyes; Addleman, Nicholas J.; Adrian, Jessika; Afzal, Veena; Aken, Bronwen; Ai, Rizi; Akiyama, Jennifer A.; Jammal, Omar Al; Amrhein, Henry; Anderson, Stacie M.; Andrews, Gregory R.; Antoshechkin, Igor; Ardlie, Kristin G.; Armstrong, Joel; Astley, Matthew; Banerjee, Budhaditya; Barkal, Amira A.; Barnes, If H. A.; Barozzi, Iros; Barrell, Daniel; Barson, Gemma; Bates, Daniel; Baymuradov, Ulugbek K.; Bazile, Cassandra; Beer, Michael A.; Beik, Samantha; Bender, M. A.; Bennett, Ruth; Bouvrette, Louis Philip Benoit; Bernstein, Bradley E.; Berry, Andrew; Bhaskar, Anand; Bignell, Alexandra; Blue, Steven M.; Bodine, David M.; Boix, Carles; Boley, Nathan; Borrman, Tyler; Borsari, Beatrice; Boyle, Alan P.; Brandsmeier, Laurel A.; Breschi, Alessandra; Bresnick, Emery H.; Brooks, Jason A.; Buckley, Michael; Burge, Christopher B.; Byron, Rachel; Cahill, Eileen; Cai, Lingling; Cao, Lulu; Carty, Mark; Castanon, Rosa G.; Castillo, Andres; Chaib, Hassan; Chan, Esther T.; Chee, Daniel R.; Chee, Sora; Chen, Hao; Chen, Huaming; Chen, Jia-Yu; Chen, Songjie; Cherry, J. Michael; Chhetri, Surya B.; Choudhary, Jyoti S.; Chrast, Jacqueline; Chung, Dongjun; Clarke, Declan; Cody, Neal A. L.; Coppola, Candice J.; Coursen, Julie; D’Ippolito, Anthony M.; Dalton, Stephen; Danyko, Cassidy; Davidson, Claire; Davila-Velderrain, Jose; Davis, Carrie A.; Dekker, Job; Deran, Alden; DeSalvo, Gilberto; Despacio-Reyes, Gloria; Dewey, Colin N.; Dickel, Diane E.; Diegel, Morgan; Diekhans, Mark; Dileep, Vishnu; Ding, Bo; Djebali, Sarah; Dobin, Alexander; Dominguez, Daniel; Donaldson, Sarah; Drenkow, Jorg; Dreszer, Timothy R.; Drier, Yotam; Duff, Michael O.; Dunn, Douglass; Eastman, Catharine; Ecker, Joseph R.; Edwards, Matthew D.; El-Ali, Nicole; Elhajjajy, Shaimae I.; Elkins, Keri; Emili, Andrew; Epstein, Charles B.; Evans, Rachel C.; Ezkurdia, Iakes; Fan, Kaili; Farnham, Peggy J.; Farrell, Nina; Feingold, Elise A.; Ferreira, Anne-Maud; Fisher-Aylor, Katherine; Fitzgerald, Stephen; Flicek, Paul; Foo, Chuan Sheng; Fortier, Kevin; Frankish, Adam; Freese, Peter; Fu, Shaliu; Fu, Xiang-Dong; Fu, Yu; Fukuda-Yuzawa, Yoko; Fulciniti, Mariateresa; Funnell, Alister P. W.; Gabdank, Idan; Galeev, Timur; Gao, Mingshi; Giron, Carlos Garcia; Garvin, Tyler H.; Gelboin-Burkhart, Chelsea Anne; Georgolopoulos, Grigorios; Gerstein, Mark B.; Giardine, Belinda M.; Gifford, David K.; Gilbert, David M.; Gilchrist, Daniel A.; Gillespie, Shawn; Gingeras, Thomas R.; Gong, Peng; Gonzalez, Alvaro; Gonzalez, Jose M.; Good, Peter; Goren, Alon; Gorkin, David U.; Graveley, Brenton R.; Gray, Michael; Greenblatt, Jack F.; Griffiths, Ed; Groudine, Mark T.; Grubert, Fabian; Gu, Mengting; Guigó, Roderic; Guo, Hongbo; Guo, Yu; Guo, Yuchun; Gursoy, Gamze; Gutierrez-Arcelus, Maria; Halow, Jessica; Hardison, Ross C.; Hardy, Matthew; Hariharan, Manoj; Harmanci, Arif; Harrington, Anne; Harrow, Jennifer L.; Hashimoto, Tatsunori B.; Hasz, Richard D.; Hatan, Meital; Haugen, Eric; Hayes, James E.; He, Peng; He, Yupeng; Heidari, Nastaran; Hendrickson, David; Heuston, Elisabeth F.; Hilton, Jason A.; Hitz, Benjamin C.; Hochman, Abigail; Holgren, Cory; Hou, Lei; Hou, Shuyu; Hsiao, Yun-Hua E.; Hsu, Shanna; Huang, Hui; Hubbard, Tim J.; Huey, Jack; Hughes, Timothy R.; Hunt, Toby; Ibarrientos, Sean; Issner, Robbyn; Iwata, Mineo; Izuogu, Osagie; Jaakkola, Tommi; Jameel, Nader; Jansen, Camden; Jiang, Lixia; Jiang, Peng; Johnson, Audra; Johnson, Rory; Jungreis, Irwin; Kadaba, Madhura; Kasowski, Maya; Kasparian, Mary; Kato, Momoe; Kaul, Rajinder; Kawli, Trupti; Kay, Michael; Keen, Judith C.; Keles, Sunduz; Keller, Cheryl A.; Kelley, David; Kellis, Manolis; Kheradpour, Pouya; Kim, Daniel Sunwook; Kirilusha, Anthony; Klein, Robert J.; Knoechel, Birgit; Kuan, Samantha; Kulik, Michael J.; Kumar, Sushant; Kundaje, Anshul; Kutyavin, Tanya; Lagarde, Julien; Lajoie, Bryan R.; Lambert, Nicole J.; Lazar, John; Lee, Ah Young; Lee, Donghoon; Lee, Elizabeth; Lee, Jin Wook; Lee, Kristen; Leslie, Christina S.; Levy, Shawn; Li, Bin; Li, Hairi; Li, Nan; Li, Shantao; Li, Xiangrui; Li, Yang I.; Li, Ying; Li, Yining; Li, Yue; Lian, Jin; Libbrecht, Maxwell W.; Lin, Shin; Lin, Yiing; Liu, Dianbo; Liu, Jason; Liu, Peng; Liu, Tingting; Liu, X. Shirley; Liu, Yan; Liu, Yaping; Long, Maria; Lou, Shaoke; Loveland, Jane; Lu, Aiping; Lu, Yuheng; Lécuyer, Eric; Ma, Lijia; Mackiewicz, Mark; Mannion, Brandon J.; Mannstadt, Michael; Manthravadi, Deepa; Marinov, Georgi K.; Martin, Fergal J.; Mattei, Eugenio; McCue, Kenneth; McEown, Megan; McVicker, Graham; Meadows, Sarah K.; Meissner, Alex; Mendenhall, Eric M.; Messer, Christopher L.; Meuleman, Wouter; Meyer, Clifford; Miller, Steve; Milton, Matthew G.; Mishra, Tejaswini; Moore, Dianna E.; Moore, Helen M.; Moore, Jill E.; Moore, Samuel H.; Moran, Jennifer; Mortazavi, Ali; Mudge, Jonathan M.; Munshi, Nikhil; Murad, Rabi; Myers, Richard M.; Nandakumar, Vivek; Nandi, Preetha; Narasimha, Anil M.; Narayanan, Aditi K.; Naughton, Hannah; Navarro, Fabio C. P.; Navas, Patrick; Nazarovs, Jurijs; Nelson, Jemma; Neph, Shane; Neri, Fidencio Jun; Nery, Joseph R.; Nesmith, Amy R.; Newberry, J. Scott; Newberry, Kimberly M.; Ngo, Vu; Nguyen, Rosy; Nguyen, Thai B.; Nguyen, Tung; Nishida, Andrew; Noble, William S.; Novak, Catherine S.; Novoa, Eva Maria; Nuñez, Briana; O’Donnell, Charles W.; Olson, Sara; Onate, Kathrina C.; Otterman, Ericka; Ozadam, Hakan; Pagan, Michael; Palden, Tsultrim; Pan, Xinghua; Park, Yongjin; Partridge, E. Christopher; Paten, Benedict; Pauli-Behn, Florencia; Pazin, Michael J.; Pei, Baikang; Pennacchio, Len A.; Perez, Alexander R.; Perry, Emily H.; Pervouchine, Dmitri D.; Phalke, Nishigandha N.; Pham, Quan; Phanstiel, Doug H.; Plajzer-Frick, Ingrid; Pratt, Gabriel A.; Pratt, Henry E.; Preissl, Sebastian; Pritchard, Jonathan K.; Pritykin, Yuri; Purcaro, Michael J.; Qin, Qian; Quinones-Valdez, Giovanni; Rabano, Ines; Radovani, Ernest; Raj, Anil; Rajagopal, Nisha; Ram, Oren; Ramirez, Lucia; Ramirez, Ricardo N.; Rausch, Dylan; Raychaudhuri, Soumya; Raymond, Joseph; Razavi, Rozita; Reddy, Timothy E.; Reimonn, Thomas M.; Ren, Bing; Reymond, Alexandre; Reynolds, Alex; Rhie, Suhn K.; Rinn, John; Rivera, Miguel; Rivera-Mulia, Juan Carlos; Roberts, Brian; Rodriguez, Jose Manuel; Rozowsky, Joel; Ryan, Russell; Rynes, Eric; Salins, Denis N.; Sandstrom, Richard; Sasaki, Takayo; Sathe, Shashank; Savic, Daniel; Scavelli, Alexandra; Scheiman, Jonathan; Schlaffner, Christoph; Schloss, Jeffery A.; Schmitges, Frank W.; See, Lei Hoon; Sethi, Anurag; Setty, Manu; Shafer, Anthony; Shan, Shuo; Sharon, Eilon; Shen, Quan; Shen, Yin; Sherwood, Richard I.; Shi, Minyi; Shin, Sunyoung; Shoresh, Noam; Siebenthall, Kyle; Sisu, Cristina; Slifer, Teri; Sloan, Cricket A.; Smith, Anna; Snetkova, Valentina; Snyder, Michael P.; Spacek, Damek V.; Srinivasan, Sharanya; Srivas, Rohith; Stamatoyannopoulos, George; Stamatoyannopoulos, John A.; Stanton, Rebecca; Steffan, Dave; Stehling-Sun, Sandra; Strattan, J. Seth; Su, Amanda; Sundararaman, Balaji; Suner, Marie-Marthe; Syed, Tahin; Szynkarek, Matt; Tanaka, Forrest Y.; Tenen, Danielle; Teng, Mingxiang; Thomas, Jeffrey A.; Toffey, Dave; Tress, Michael L.; Trout, Diane E.; Trynka, Gosia; Tsuji, Junko; Upchurch, Sean A.; Ursu, Oana; Uszczynska-Ratajczak, Barbara; Uziel, Mia C.; Valencia, Alfonso; Biber, Benjamin Van; van der Velde, Arjan G.; Van Nostrand, Eric L.; Vaydylevich, Yekaterina; Vazquez, Jesus; Victorsen, Alec; Vielmetter, Jost; Vierstra, Jeff; Visel, Axel; Vlasova, Anna; Vockley, Christopher M.; Volpi, Simona; Vong, Shinny; Wang, Hao; Wang, Mengchi; Wang, Qin; Wang, Ruth; Wang, Tao; Wang, Wei; Wang, Xiaofeng; Wang, Yanli; Watson, Nathaniel K.; Wei, Xintao; Wei, Zhijie; Weisser, Hendrik; Weissman, Sherman M.; Welch, Rene; Welikson, Robert E.; Weng, Zhiping; Westra, Harm-Jan; Whitaker, John W.; White, Collin; White, Kevin P.; Wildberg, Andre; Williams, Brian A.; Wine, David; Witt, Heather N.; Wold, Barbara; Wolf, Maxim; Wright, James; Xiao, Rui; Xiao, Xinshu; Xu, Jie; Xu, Jinrui; Yan, Koon-Kiu; Yan, Yongqi; Yang, Hongbo; Yang, Xinqiong; Yang, Yi-Wen; Yardımcı, Galip Gürkan; Yee, Brian A.; Yeo, Gene W.; Young, Taylor; Yu, Tianxiong; Yue, Feng; Zaleski, Chris; Zang, Chongzhi; Zeng, Haoyang; Zeng, Weihua; Zerbino, Daniel R.; Zhai, Jie; Zhan, Lijun; Zhan, Ye; Zhang, Bo; Zhang, Jialing; Zhang, Jing; Zhang, Kai; Zhang, Lijun; Zhang, Peng; Zhang, Qi; Zhang, Xiao-Ou; Zhang, Yanxiao; Zhang, Zhizhuo; Zhao, Yuan; Zheng, Ye; Zhong, Guoqing; Zhou, Xiao-Qiao; Zhu, Yun; Zimmerman, Jared; Snyder, Michael P.; Gingeras, Thomas R.; Moore, Jill E.; Weng, Zhiping; Gerstein, Mark B.; Ren, Bing; Hardison, Ross C.; Stamatoyannopoulos, John A.; Graveley, Brenton R.; Feingold, Elise A.; Pazin, Michael J.; Pagan, Michael; Gilchrist, Daniel A.; Hitz, Benjamin C.; Cherry, J. Michael; Bernstein, Bradley E.; Mendenhall, Eric M.; Zerbino, Daniel R.; Frankish, Adam; Flicek, Paul; Myers, Richard M.; ","journal":"Nature","doi":"10.1038/s41586-020-2449-8","created_at":"2022-06-17T17:05:49.635Z","updated_at":"2022-06-17T17:05:49.635Z"},{"id":3446,"pubmed_id":31713622,"title":"New developments on the Encyclopedia of DNA Elements (ENCODE) data portal.","year":2020,"url":"https://doi.org/10.1093/nar/gkz1062","authors":"Luo Y, Hitz BC, Gabdank I, Hilton JA, Kagda MS, Lam B, Myers Z, Sud P, Jou J, Lin K, Baymuradov UK, Graham K, Litton C, Miyasato SR, Strattan JS, Jolanki O, Lee JW, Tanaka FY, Adenekan P, O'Neill E, Cherry JM","journal":"Nucleic acids research","doi":"10.1093/nar/gkz1062","created_at":"2022-06-17T17:06:20.816Z","updated_at":"2022-06-17T17:06:20.816Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2707,"relation":"applies_to_content"},{"licence_name":"ENCODE Data has usage restrictions for 9 months after public availability","licence_id":279,"licence_url":"http://genome.ucsc.edu/ENCODE/","link_id":238,"relation":"undefined"}],"grants":[{"id":120,"fairsharing_record_id":1579,"organisation_id":1118,"relation":"maintains","created_at":"2021-09-30T09:24:19.154Z","updated_at":"2021-09-30T09:24:19.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9599,"fairsharing_record_id":1579,"organisation_id":712,"relation":"maintains","created_at":"2022-06-17T17:07:11.582Z","updated_at":"2022-06-17T17:07:11.582Z","grant_id":null,"is_lead":false,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8317,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:03.326Z","updated_at":"2021-09-30T09:32:03.383Z","grant_id":1448,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"5U41HG004568-04","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7972,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:30:10.135Z","updated_at":"2021-09-30T09:30:10.190Z","grant_id":582,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"3U41HG004568-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":121,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:19.192Z","updated_at":"2021-09-30T09:29:22.118Z","grant_id":216,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"3P41HG002371-10S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8188,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:24.172Z","updated_at":"2021-09-30T09:31:24.224Z","grant_id":1153,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"5P41HG002371-10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--42b68419f23be7265b059f3989450ec9a09c177d/encode-logo-small-2x.png?disposition=inline","exhaustive_licences":false}},{"id":"1580","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:22.594Z","metadata":{"doi":"10.25504/FAIRsharing.5q1k","name":"eQuilibrator - the biochemical thermodynamics calculator","status":"ready","contacts":[{"contact_name":"Avi Flamholz","contact_email":"aflamhol@caltech.edu","contact_orcid":"0000-0002-9278-5479"}],"homepage":"http://equilibrator.weizmann.ac.il","citations":[],"identifier":1580,"description":"Thermodynamics calculator for biochemical reactions. eQuilibrator is a simple web interface designed to enable easy thermodynamic analysis of biochemical systems. eQuilibrator enables free-text search for biochemical compounds and reactions and provides thermodynamic estimates for both in a variety of conditions.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://equilibrator.weizmann.ac.il/static/classic_rxns/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/g/equilibrator-users","type":"Forum"},{"url":"https://equilibrator.weizmann.ac.il/static/classic_rxns/updates.html","name":"Updates","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000035","bsg-d000035"],"name":"FAIRsharing record for: eQuilibrator - the biochemical thermodynamics calculator","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.5q1k","doi":"10.25504/FAIRsharing.5q1k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Thermodynamics calculator for biochemical reactions. eQuilibrator is a simple web interface designed to enable easy thermodynamic analysis of biochemical systems. eQuilibrator enables free-text search for biochemical compounds and reactions and provides thermodynamic estimates for both in a variety of conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Thermodynamics","Life Science"],"domains":["Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":55,"pubmed_id":18645197,"title":"Group contribution method for thermodynamic analysis of complex metabolic networks.","year":2008,"url":"http://doi.org/10.1529/biophysj.107.124784","authors":"Jankowski MD., Henry CS., Broadbelt LJ., Hatzimanikatis V.,","journal":"Biophys. J.","doi":"10.1529/biophysj.107.124784","created_at":"2021-09-30T08:22:26.290Z","updated_at":"2021-09-30T08:22:26.290Z"},{"id":56,"pubmed_id":16878778,"title":"Biochemical thermodynamics: applications of Mathematica.","year":2006,"url":"https://www.ncbi.nlm.nih.gov/pubmed/16878778","authors":"Alberty RA.,","journal":"Methods Biochem Anal","doi":null,"created_at":"2021-09-30T08:22:26.395Z","updated_at":"2021-09-30T08:22:26.395Z"},{"id":1866,"pubmed_id":860983,"title":"Energy conservation in chemotrophic anaerobic bacteria.","year":1977,"url":"https://www.ncbi.nlm.nih.gov/pubmed/860983","authors":"Thauer RK., Jungermann K., Decker K.,","journal":"Bacteriol Rev","doi":null,"created_at":"2021-09-30T08:25:49.672Z","updated_at":"2021-09-30T08:25:49.672Z"},{"id":1867,"pubmed_id":22645166,"title":"An integrated open framework for thermodynamics of reactions that combines accuracy and coverage.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts317","authors":"Noor E,Bar-Even A,Flamholz A,Lubling Y,Davidi D,Milo R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts317","created_at":"2021-09-30T08:25:49.947Z","updated_at":"2021-09-30T08:25:49.947Z"}],"licence_links":[],"grants":[{"id":122,"fairsharing_record_id":1580,"organisation_id":1769,"relation":"maintains","created_at":"2021-09-30T09:24:19.233Z","updated_at":"2021-09-30T09:24:19.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":1769,"name":"Massachusetts Institute of Technology (MIT), Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":123,"fairsharing_record_id":1580,"organisation_id":1799,"relation":"maintains","created_at":"2021-09-30T09:24:19.274Z","updated_at":"2021-09-30T09:24:19.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":1799,"name":"Mayo Clinic, Scottsdale, AZ, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1581","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:17.468Z","metadata":{"doi":"10.25504/FAIRsharing.2z0e8b","name":"ExoCarta","status":"ready","contacts":[{"contact_name":"Suresh Mathivanan","contact_email":"s.mathivanan@latrobe.edu.au","contact_orcid":"0000-0002-7290-5795"}],"homepage":"http://www.exocarta.org","citations":[],"identifier":1581,"description":"A database of exosomes, membrane vesicles of endocytic origin released by diverse cell types.","abbreviation":"ExoCarta","data_curation":{"type":"manual"},"support_links":[{"url":"https://en.wikipedia.org/wiki/ExoCarta","type":"Wikipedia"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://exocarta.org/data_submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000036","bsg-d000036"],"name":"FAIRsharing record for: ExoCarta","abbreviation":"ExoCarta","url":"https://fairsharing.org/10.25504/FAIRsharing.2z0e8b","doi":"10.25504/FAIRsharing.2z0e8b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database of exosomes, membrane vesicles of endocytic origin released by diverse cell types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Lipid","Extracellular exosome","Protein","Messenger RNA","Micro RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":54,"pubmed_id":19810033,"title":"ExoCarta: A compendium of exosomal proteins and RNA.","year":2009,"url":"http://doi.org/10.1002/pmic.200900351","authors":"Mathivanan S., Simpson RJ.,","journal":"Proteomics","doi":"10.1002/pmic.200900351","created_at":"2021-09-30T08:22:26.189Z","updated_at":"2021-09-30T08:22:26.189Z"}],"licence_links":[],"grants":[{"id":124,"fairsharing_record_id":1581,"organisation_id":1773,"relation":"maintains","created_at":"2021-09-30T09:24:19.313Z","updated_at":"2021-09-30T09:24:19.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1773,"name":"Mathivanan Lab, La Trobe Institute for Molecular Science 1, Victoria, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1583","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:18.444Z","metadata":{"doi":"10.25504/FAIRsharing.sbnhkq","name":"DRSC/TRiP Functional Genomics Resources \u0026 DRSC-BTRR","status":"ready","contacts":[{"contact_name":"Stephanie E Mohr","contact_email":"stephanie_mohr@hms.harvard.edu"}],"homepage":"https://fgr.hms.harvard.edu/","citations":[],"identifier":1583,"description":"DRSC Functional Genomics Resources (DRSC-FGR) began as the Drosophila RNAi Screening Center (DRSC), founded by Prof. Norbert Perrimon in 2003, and the Transgenic RNAi Project (TRiP), founded by Prof. Perrimon in 2008. DRSC-FGR has been previously known as flyRNAi.org. It has since grown into a functional genomics platform meeting the needs of the Drosophila and broader community.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://hms.az1.qualtrics.com/jfe/form/SV_cApK7Mvnw54HeyV","type":"Contact form"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"http://www.flyrnai.org/compleat/","name":"COMPLEAT"},{"url":"https://www.flyrnai.org/cgi-bin/DRSC_orthologs.pl","name":"DIOPT Ortholog Finder"},{"url":"http://www.flyrnai.org/diopt-dist","name":"DIOPT-DIST"},{"url":"http://fgr.hms.harvard.edu/crispr-efficiency","name":"CRISPR Efficiency Prediction"},{"url":"http://fgr.hms.harvard.edu/flyprimerbank","name":"FlyPrimerBank"},{"url":"http://www.flyrnai.org/hrma","name":"HRMA"},{"url":"http://fgr.hms.harvard.edu/minotar","name":"MinoTar"},{"url":"http://www.flyrnai.org/gess/","name":"GESS"},{"url":"http://fgr.hms.harvard.edu/rsvp-addfeedback","name":"RSVP-AddFeedback"},{"url":"http://fgr.hms.harvard.edu/utility-tools","name":"Utility Tools"},{"url":"https://www.gene2function.org/search/","name":"gene2function"},{"url":"https://www.flyrnai.org/tools/biolitmine/web/","name":"BioLitMine"},{"url":"https://fgrtools.hms.harvard.edu/MIST/","name":"MIST"},{"url":"https://www.flyrnai.org/tools/snp_crispr/web/","name":"SNP CRISPR"},{"url":"https://www.flyrnai.org/up-torr/","name":"UP-TORR"},{"url":"https://www.flyrnai.org/cgi-bin/RNAi_find_primers.pl","name":"SnapDragon"},{"url":"https://fgrtools.hms.harvard.edu/InsulinNetwork/","name":"InsulinNet"},{"url":"https://www.flyrnai.org/tools/pathon/web/","name":"PathON"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000038","bsg-d000038"],"name":"FAIRsharing record for: DRSC/TRiP Functional Genomics Resources \u0026 DRSC-BTRR","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.sbnhkq","doi":"10.25504/FAIRsharing.sbnhkq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DRSC Functional Genomics Resources (DRSC-FGR) began as the Drosophila RNAi Screening Center (DRSC), founded by Prof. Norbert Perrimon in 2003, and the Transgenic RNAi Project (TRiP), founded by Prof. Perrimon in 2008. DRSC-FGR has been previously known as flyRNAi.org. It has since grown into a functional genomics platform meeting the needs of the Drosophila and broader community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Cell line","RNAi screening","RNA interference"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1434,"pubmed_id":21880147,"title":"An integrative approach to ortholog prediction for disease-focused and other functional studies.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-357","authors":"Hu Y., Flockhart I., Vinayagam A., Bergwitz C., Berger B., Perrimon N., Mohr SE.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-357","created_at":"2021-09-30T08:25:00.332Z","updated_at":"2021-09-30T08:25:00.332Z"},{"id":1435,"pubmed_id":21251254,"title":"False negative rates in Drosophila cell-based RNAi screens: a case study.","year":2011,"url":"http://doi.org/10.1186/1471-2164-12-50","authors":"Booker M., Samsonova AA., Kwon Y., Flockhart I., Mohr SE., Perrimon N.,","journal":"BMC Genomics","doi":"10.1186/1471-2164-12-50","created_at":"2021-09-30T08:25:00.432Z","updated_at":"2021-09-30T08:25:00.432Z"},{"id":1436,"pubmed_id":20367032,"title":"Genomic screening with RNAi: results and challenges.","year":2010,"url":"http://doi.org/10.1146/annurev-biochem-060408-092949","authors":"Mohr S., Bakal C., Perrimon N.,","journal":"Annu. Rev. Biochem.","doi":"10.1146/annurev-biochem-060408-092949","created_at":"2021-09-30T08:25:00.532Z","updated_at":"2021-09-30T08:25:00.532Z"},{"id":1437,"pubmed_id":19720858,"title":"Cross-species RNAi rescue platform in Drosophila melanogaster.","year":2009,"url":"http://doi.org/10.1534/genetics.109.106567","authors":"Kondo S., Booker M., Perrimon N.,","journal":"Genetics","doi":"10.1534/genetics.109.106567","created_at":"2021-09-30T08:25:00.634Z","updated_at":"2021-09-30T08:25:00.634Z"},{"id":1438,"pubmed_id":19487563,"title":"A Drosophila resource of transgenic RNAi lines for neurogenetics.","year":2009,"url":"http://doi.org/10.1534/genetics.109.103630","authors":"Ni JQ., Liu LP., Binari R., Hardy R., Shim HS., Cavallaro A., Booker M., Pfeiffer BD., Markstein M., Wang H., Villalta C., Laverty TR., Perkins LA., Perrimon N.,","journal":"Genetics","doi":"10.1534/genetics.109.103630","created_at":"2021-09-30T08:25:00.744Z","updated_at":"2021-09-30T08:25:00.744Z"},{"id":1439,"pubmed_id":18084299,"title":"Vector and parameters for targeted transgenic RNA interference in Drosophila melanogaster.","year":2007,"url":"http://doi.org/10.1038/nmeth1146","authors":"Ni JQ., Markstein M., Binari R., Pfeiffer B., Liu LP., Villalta C., Booker M., Perkins L., Perrimon N.,","journal":"Nat. Methods","doi":"10.1038/nmeth1146","created_at":"2021-09-30T08:25:00.851Z","updated_at":"2021-09-30T08:25:00.851Z"},{"id":1440,"pubmed_id":17853882,"title":"Design and implementation of high-throughput RNAi screens in cultured Drosophila cells.","year":2007,"url":"http://doi.org/10.1038/nprot.2007.250","authors":"Ramadan N., Flockhart I., Booker M., Perrimon N., Mathey-Prevot B.,","journal":"Nat Protoc","doi":"10.1038/nprot.2007.250","created_at":"2021-09-30T08:25:00.962Z","updated_at":"2021-09-30T08:25:00.962Z"},{"id":1441,"pubmed_id":16964256,"title":"Evidence of off-target effects associated with long dsRNAs in Drosophila melanogaster cell-based assays.","year":2006,"url":"http://doi.org/10.1038/nmeth935","authors":"Kulkarni MM., Booker M., Silver SJ., Friedman A., Hong P., Perrimon N., Mathey-Prevot B.,","journal":"Nat. Methods","doi":"10.1038/nmeth935","created_at":"2021-09-30T08:25:01.069Z","updated_at":"2021-09-30T08:25:01.069Z"},{"id":1442,"pubmed_id":16381918,"title":"FlyRNAi: the Drosophila RNAi screening center database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj114","authors":"Flockhart I., Booker M., Kiger A., Boutros M., Armknecht S., Ramadan N., Richardson K., Xu A., Perrimon N., Mathey-Prevot B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj114","created_at":"2021-09-30T08:25:01.185Z","updated_at":"2021-09-30T08:25:01.185Z"}],"licence_links":[],"grants":[{"id":130,"fairsharing_record_id":1583,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:19.534Z","updated_at":"2021-09-30T09:24:19.534Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":128,"fairsharing_record_id":1583,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:24:19.431Z","updated_at":"2021-09-30T09:24:19.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":131,"fairsharing_record_id":1583,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:19.627Z","updated_at":"2021-09-30T09:24:19.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":129,"fairsharing_record_id":1583,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:19.463Z","updated_at":"2021-09-30T09:30:08.512Z","grant_id":569,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01 GM067761","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1584","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:04.081Z","metadata":{"doi":"10.25504/FAIRsharing.qbwrtn","name":"Networks of Functional Coupling of proteins","status":"ready","contacts":[{"contact_name":"Erik Sonnhammer","contact_email":"Erik.Sonnhammer@sbc.su.se"}],"homepage":"http://funcoup.sbc.su.se/","identifier":1584,"description":"FunCoup is a framework to infer genome-wide functional couplings in 11 model organisms. Functional coupling, or functional association, is an unspecific form of association that encompasses direct physical interaction but also more general types of direct or indirect interaction like regulatory interaction or participation the same process or pathway.","abbreviation":"FunCoup","data_curation":{"type":"manual/automated"},"support_links":[{"url":"christoph.ogris@scilifelab.se","type":"Support email"},{"url":"http://funcoup.sbc.su.se/help/#FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://funcoup.sbc.su.se/help/","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://jsquid.sbc.su.se/","name":"Java Applet jSquid"},{"url":"http://funcoup.sbc.su.se/maxlink/","name":"MaxLink"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000039","bsg-d000039"],"name":"FAIRsharing record for: Networks of Functional Coupling of proteins","abbreviation":"FunCoup","url":"https://fairsharing.org/10.25504/FAIRsharing.qbwrtn","doi":"10.25504/FAIRsharing.qbwrtn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FunCoup is a framework to infer genome-wide functional couplings in 11 model organisms. Functional coupling, or functional association, is an unspecific form of association that encompasses direct physical interaction but also more general types of direct or indirect interaction like regulatory interaction or participation the same process or pathway.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Protein interaction","Biological regulation","Molecular interaction","Genetic interaction","Functional association","Protein","Genome"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Canis familiaris","Ciona intestinalis","Danio rerio","Drosophila melanogaster","Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":["Physical interaction"],"countries":["Sweden"],"publications":[{"id":69,"pubmed_id":19246318,"title":"Global networks of functional coupling in eukaryotes from comprehensive data integration.","year":2009,"url":"http://doi.org/10.1101/gr.087528.108","authors":"Alexeyenko A., Sonnhammer EL.,","journal":"Genome Res.","doi":"10.1101/gr.087528.108","created_at":"2021-09-30T08:22:27.662Z","updated_at":"2021-09-30T08:22:27.662Z"},{"id":586,"pubmed_id":22110034,"title":"Comparative interactomics with Funcoup 2.0.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1062","authors":"Alexeyenko A., Schmitt T., Tjärnberg A., Guala D., Frings O., Sonnhammer EL.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1062","created_at":"2021-09-30T08:23:24.210Z","updated_at":"2021-09-30T08:23:24.210Z"},{"id":1883,"pubmed_id":24185702,"title":"FunCoup 3.0: database of genome-wide functional coupling networks","year":1985,"url":"http://doi.org/10.1002/1097-0142(19850101)55:1\u003c214::aid-cncr2820550135\u003e3.0.co;2-h","authors":"Schmitt T., Ogris C., Sonnhammer EL.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt984","created_at":"2021-09-30T08:25:51.836Z","updated_at":"2021-09-30T08:25:51.836Z"}],"licence_links":[],"grants":[{"id":133,"fairsharing_record_id":1584,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:24:19.710Z","updated_at":"2021-09-30T09:24:19.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":132,"fairsharing_record_id":1584,"organisation_id":2644,"relation":"maintains","created_at":"2021-09-30T09:24:19.663Z","updated_at":"2021-09-30T09:24:19.663Z","grant_id":null,"is_lead":false,"saved_state":{"id":2644,"name":"Stockholm Bioinformatics Center, Sweden","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1592","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:22.349Z","metadata":{"doi":"10.25504/FAIRsharing.2by003","name":"Human Gene and Protein Database","status":"ready","contacts":[{"contact_name":"HGDP Helpmail","contact_email":"HGPD@m.aist.go.jp"}],"homepage":"http://hgpd.lifesciencedb.jp/cgi/","citations":[],"identifier":1592,"description":"Human Gene and Protein Database (HGPD) presents SDS-PAGE patterns and other informations of human genes and proteins.","abbreviation":"HGPD","data_curation":{"type":"manual"},"support_links":[{"url":"http://hgpd.lifesciencedb.jp/sys_info/q_a.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://hgpd.lifesciencedb.jp/sys_info/help.html","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://hgpd.lifesciencedb.jp/cgi/pg_ad_srch.cgi","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000047","bsg-d000047"],"name":"FAIRsharing record for: Human Gene and Protein Database","abbreviation":"HGPD","url":"https://fairsharing.org/10.25504/FAIRsharing.2by003","doi":"10.25504/FAIRsharing.2by003","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Human Gene and Protein Database (HGPD) presents SDS-PAGE patterns and other informations of human genes and proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Gene Ontology enrichment","Gene model annotation","Image","Protein Analysis","Phenotype","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":70,"pubmed_id":19054851,"title":"Human protein factory for converting the transcriptome into an in vitro-expressed proteome,.","year":2008,"url":"http://doi.org/10.1038/nmeth.1273","authors":"Goshima N., Kawamura Y., Fukumoto A., Miura A., Honma R., Satoh R., Wakamatsu A., Yamamoto J., Kimura K., Nishikawa T., Andoh T., Iida Y., Ishikawa K., Ito E., Kagawa N., Kaminaga C., Kanehori K., Kawakami B., Kenmochi K., Kimura R., Kobayashi M., Kuroita T., Kuwayama H., Maruyama Y., Matsuo K., Minami K., Mitsubori M., Mori M., Morishita R., Murase A., Nishikawa A., Nishikawa S., Okamoto T., Sakagami N., Sakamoto Y., Sasaki Y., Seki T., Sono S., Sugiyama A., Sumiya T., Takayama T., Takayama Y., Takeda H., Togashi T., Yahata K., Yamada H., Yanagisawa Y., Endo Y., Imamoto F., Kisu Y., Tanaka S., Isogai T., Imai J., Watanabe S., Nomura N.,","journal":"Nat. Methods","doi":"doi:10.1038/nmeth.1273","created_at":"2021-09-30T08:22:27.755Z","updated_at":"2021-09-30T08:22:27.755Z"},{"id":71,"pubmed_id":19073703,"title":"Human Gene and Protein Database (HGPD): a novel database presenting a large quantity of experiment-based results in human proteomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn872","authors":"Maruyama Y., Wakamatsu A., Kawamura Y., Kimura K., Yamamoto J., Nishikawa T., Kisu Y., Sugano S., Goshima N., Isogai T., Nomura N.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn872","created_at":"2021-09-30T08:22:27.856Z","updated_at":"2021-09-30T08:22:27.856Z"},{"id":1247,"pubmed_id":22140100,"title":"HGPD: Human Gene and Protein Database, 2012 update.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1188","authors":"Maruyama Y,Kawamura Y,Nishikawa T,Isogai T,Nomura N,Goshima N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1188","created_at":"2021-09-30T08:24:39.071Z","updated_at":"2021-09-30T11:29:04.001Z"}],"licence_links":[],"grants":[{"id":160,"fairsharing_record_id":1592,"organisation_id":2007,"relation":"maintains","created_at":"2021-09-30T09:24:20.796Z","updated_at":"2021-09-30T09:24:20.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":158,"fairsharing_record_id":1592,"organisation_id":1588,"relation":"funds","created_at":"2021-09-30T09:24:20.731Z","updated_at":"2021-09-30T09:24:20.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":1588,"name":"Japan Biological Informatics Consortium (JBIC), Tokyo, Japan","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":159,"fairsharing_record_id":1592,"organisation_id":266,"relation":"maintains","created_at":"2021-09-30T09:24:20.763Z","updated_at":"2021-09-30T09:24:20.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":266,"name":"Biomedical Informatics Laboratory, Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1593","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:25.821Z","metadata":{"doi":"10.25504/FAIRsharing.g56qnp","name":"Histone Infobase","status":"ready","contacts":[{"contact_name":"Sanjeev Galande","contact_email":"sanjeev@iiserpune.ac.in"}],"homepage":"http://www3.iiserpune.ac.in/~coee/histome/","citations":[],"identifier":1593,"description":"HIstome (Human histone database) is a freely available, specialist, electronic database dedicated to display information about human histone variants, sites of their post-translational modifications and about various histone modifying enzymes.","abbreviation":"HIstome","data_curation":{"url":"https://doi.org/10.1093/nar/gkr1125","type":"manual"},"support_links":[{"url":"https://en.wikipedia.org/wiki/HIstome","type":"Wikipedia"},{"url":"http://www3.iiserpune.ac.in/~coee/histome/how_to_use.php","name":"How to use HIstome","type":"Help documentation"},{"url":"histome@iiserpune.ac.in","type":"Support email"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010977","name":"re3data:r3d100010977","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006972","name":"SciCrunch:RRID:SCR_006972","portal":"SciCrunch"}],"data_access_condition":{"url":"http://www3.iiserpune.ac.in/~coee/histome/","type":"open","notes":"HIstome is freely available"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkr1125","type":"not applicable","notes":"Information within Histome is drawn from primary databases only."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000048","bsg-d000048"],"name":"FAIRsharing record for: Histone Infobase","abbreviation":"HIstome","url":"https://fairsharing.org/10.25504/FAIRsharing.g56qnp","doi":"10.25504/FAIRsharing.g56qnp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HIstome (Human histone database) is a freely available, specialist, electronic database dedicated to display information about human histone variants, sites of their post-translational modifications and about various histone modifying enzymes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenetics","Life Science"],"domains":["Citation","Gene name","Free text","Histone","Post-translational protein modification","Enzyme","Cross linking","Promoter","Amino acid sequence"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1084,"pubmed_id":22140112,"title":"HIstome--a relational knowledgebase of human histone proteins and histone modifying enzymes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1125","authors":"Khare SP,Habib F,Sharma R,Gadewal N,Gupta S,Galande S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1125","created_at":"2021-09-30T08:24:20.096Z","updated_at":"2021-09-30T11:28:58.084Z"}],"licence_links":[],"grants":[{"id":162,"fairsharing_record_id":1593,"organisation_id":1332,"relation":"funds","created_at":"2021-09-30T09:24:20.853Z","updated_at":"2021-09-30T09:24:20.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":1332,"name":"Indian Institute of Science Education and Research Pune, India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":161,"fairsharing_record_id":1593,"organisation_id":27,"relation":"maintains","created_at":"2021-09-30T09:24:20.829Z","updated_at":"2021-09-30T09:24:20.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":27,"name":"Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre (TMC), Navi Mumbai, India","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1594","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-20T14:08:52.465Z","metadata":{"doi":"10.25504/FAIRsharing.m90ne8","name":"Human Mitochondrial Database","status":"deprecated","contacts":[{"contact_name":"Marcella Attimonelli","contact_email":"marcella.attimonelli@uniba.it"}],"homepage":"http://www.hmtdb.uniba.it","citations":[{"doi":"10.1093/nar/gkw1066","pubmed_id":null,"publication_id":3992}],"identifier":1594,"description":"HmtDB is an open resource created to support population genetics and mitochondrial disease studies. The database hosts human mitochondrial genome sequences annotated with population and variability data, the latter being estimated through the application of the SiteVar/MitVarProt programs, based on site-specific nucleotide and aminoacid variability calculations. The annotations are manually curated thus adding value to the quality of the information provided to the end-user.","abbreviation":"HmtDB","data_curation":{"type":"manual/automated","notes":" computed prediction of haplogroup and site specific variability[SiteVar algorithm]"},"support_links":[{"url":"hmtdb.update@uniba.it","type":"Support email"},{"url":"https://github.com/mitoNGS/MToolBox","type":"Github"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"https://github.com/mitoNGS/MToolBox","name":"MToolBox"}],"deprecation_date":"2023-09-20","deprecation_reason":"The homepage for this resource no longer exists, and a suitable replacement cannot be found. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000049","bsg-d000049"],"name":"FAIRsharing record for: Human Mitochondrial Database","abbreviation":"HmtDB","url":"https://fairsharing.org/10.25504/FAIRsharing.m90ne8","doi":"10.25504/FAIRsharing.m90ne8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HmtDB is an open resource created to support population genetics and mitochondrial disease studies. The database hosts human mitochondrial genome sequences annotated with population and variability data, the latter being estimated through the application of the SiteVar/MitVarProt programs, based on site-specific nucleotide and aminoacid variability calculations. The annotations are manually curated thus adding value to the quality of the information provided to the end-user.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Mitochondrial genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":77,"pubmed_id":16351753,"title":"HmtDB, a human mitochondrial genomic resource based on variability studies supporting population genetics and biomedical research.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-S4-S4","authors":"Attimonelli M., Accetturo M., Santamaria M., Lascaro D., Scioscia G., Pappadà G., Russo L., Zanchetta L., Tommaseo-Ponzetta M.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-S4-S4","created_at":"2021-09-30T08:22:28.471Z","updated_at":"2021-09-30T08:22:28.471Z"},{"id":3992,"pubmed_id":null,"title":"HmtDB 2016: data update, a better performing query system and human mitochondrial DNA haplogroup predictor","year":2016,"url":"http://dx.doi.org/10.1093/nar/gkw1066","authors":"Clima, Rosanna; Preste, Roberto; Calabrese, Claudia; Diroma, Maria Angela; Santorsola, Mariangela; Scioscia, Gaetano; Simone, Domenico; Shen, Lishuang; Gasparre, Giuseppe; Attimonelli, Marcella; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1066","created_at":"2023-09-20T14:02:52.827Z","updated_at":"2023-09-20T14:02:52.827Z"}],"licence_links":[],"grants":[{"id":10870,"fairsharing_record_id":1594,"organisation_id":3018,"relation":"maintains","created_at":"2023-09-20T14:06:59.206Z","updated_at":"2023-09-20T14:06:59.206Z","grant_id":null,"is_lead":true,"saved_state":{"id":3018,"name":"University of Bari, Bari, Italy","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1595","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:52:07.042Z","metadata":{"doi":"10.25504/FAIRsharing.m4a6d3","name":"HotRegion","status":"deprecated","contacts":[],"homepage":"http://prism.ccbb.ku.edu.tr/hotregion","citations":[],"identifier":1595,"description":"Database of interaction Hotspots across the proteome. Hot spots are energetically important residues at protein interfaces and they are not randomly distributed across the interface but rather clustered. These clustered hot spots form hot regions. HotRegion, provides information of these interfaces by using predicted hot spot residues, and structural properties of these interface residues such as pair potentials of interface residues, accessible surface area (ASA) and relative ASA values of interface residues of both monomer and complex forms of proteins. Also, the 3D visualization of the interface and interactions among hot spot residues are provided.","abbreviation":"HotRegion","data_curation":{"type":"automated"},"support_links":[{"url":"http://prism.ccbb.ku.edu.tr/hotregion/tutorial.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2022-06-29","deprecation_reason":"This resource is no longer available at the stated homepage. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000050","bsg-d000050"],"name":"FAIRsharing record for: HotRegion","abbreviation":"HotRegion","url":"https://fairsharing.org/10.25504/FAIRsharing.m4a6d3","doi":"10.25504/FAIRsharing.m4a6d3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of interaction Hotspots across the proteome. Hot spots are energetically important residues at protein interfaces and they are not randomly distributed across the interface but rather clustered. These clustered hot spots form hot regions. HotRegion, provides information of these interfaces by using predicted hot spot residues, and structural properties of these interface residues such as pair potentials of interface residues, accessible surface area (ASA) and relative ASA values of interface residues of both monomer and complex forms of proteins. Also, the 3D visualization of the interface and interactions among hot spot residues are provided.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction"],"taxonomies":["All"],"user_defined_tags":["Hot region","Hot spot"],"countries":["Turkey"],"publications":[{"id":68,"pubmed_id":20437205,"title":"Analysis of hot region organization in hub proteins.","year":2010,"url":"http://doi.org/10.1007/s10439-010-0048-9","authors":"Cukuroglu E., Gursoy A., Keskin O.,","journal":"Ann Biomed Eng","doi":"10.1007/s10439-010-0048-9","created_at":"2021-09-30T08:22:27.571Z","updated_at":"2021-09-30T08:22:27.571Z"},{"id":82,"pubmed_id":15644221,"title":"Hot regions in protein--protein interactions: the organization and contribution of structurally conserved hot spot residues.","year":2005,"url":"http://doi.org/10.1016/j.jmb.2004.10.077","authors":"Keskin O., Ma B., Nussinov R.,","journal":"J. Mol. Biol.","doi":"10.1016/j.jmb.2004.10.077","created_at":"2021-09-30T08:22:28.896Z","updated_at":"2021-09-30T08:22:28.896Z"},{"id":1552,"pubmed_id":22080558,"title":"HotRegion: a database of predicted hot spot clusters.","year":2011,"url":"http://doi.org/10.1093/nar/gkr929","authors":"Cukuroglu E,Gursoy A,Keskin O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr929","created_at":"2021-09-30T08:25:13.859Z","updated_at":"2021-09-30T11:29:13.410Z"}],"licence_links":[],"grants":[{"id":166,"fairsharing_record_id":1595,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:21.006Z","updated_at":"2021-09-30T09:24:21.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":164,"fairsharing_record_id":1595,"organisation_id":2710,"relation":"funds","created_at":"2021-09-30T09:24:20.947Z","updated_at":"2021-09-30T09:30:15.030Z","grant_id":621,"is_lead":false,"saved_state":{"id":2710,"name":"TBTAK, Ankara, Turkey","grant":"109E207","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8122,"fairsharing_record_id":1595,"organisation_id":2710,"relation":"funds","created_at":"2021-09-30T09:31:04.063Z","updated_at":"2021-09-30T09:31:04.120Z","grant_id":1001,"is_lead":false,"saved_state":{"id":2710,"name":"TBTAK, Ankara, Turkey","grant":"109T343","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1596","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:36.170Z","metadata":{"doi":"10.25504/FAIRsharing.dz1xxr","name":"Integrative and Conjugative Elements in Bacteria","status":"ready","contacts":[{"contact_name":"Hong-Yu OU","contact_email":"hyou@sjtu.edu.cn","contact_orcid":"0000-0001-9439-1660"}],"homepage":"http://db-mml.sjtu.edu.cn/ICEberg/","citations":[],"identifier":1596,"description":"A web-based resource for integrative and conjugative elements (ICEs) found in bacteria. It collates available data from experimental and bioinformatics analyses, and literature, about known and putative ICEs in bacteria as a PostgreSQL-based database called ICEberg. This database contains detailed information on all archived ICEs and the genes carried by each entity, including unique identifiers, species details and hyperlink-paths to other public databases, like NCBI, UniprotKB and KEGG.","abbreviation":"ICEberg","data_curation":{"type":"manual"},"support_links":[{"url":"http://db-mml.sjtu.edu.cn/ICEberg/contact.html","type":"Contact form"},{"url":"http://db-mml.sjtu.edu.cn/ICEberg/Introduction.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://blast.wustl.edu","name":"BLAST 2.0"},{"url":"http://gmod.org/wiki/Ggb/","name":"GBrowse"},{"url":"https://www.postgresql.org/about/","name":"PostgreSQL"},{"url":"http://www.drive5.com/muscle/","name":"MUSCLE"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000051","bsg-d000051"],"name":"FAIRsharing record for: Integrative and Conjugative Elements in Bacteria","abbreviation":"ICEberg","url":"https://fairsharing.org/10.25504/FAIRsharing.dz1xxr","doi":"10.25504/FAIRsharing.dz1xxr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A web-based resource for integrative and conjugative elements (ICEs) found in bacteria. It collates available data from experimental and bioinformatics analyses, and literature, about known and putative ICEs in bacteria as a PostgreSQL-based database called ICEberg. This database contains detailed information on all archived ICEs and the genes carried by each entity, including unique identifiers, species details and hyperlink-paths to other public databases, like NCBI, UniprotKB and KEGG.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Microbial Genetics"],"domains":["Conjugative transposon","Genomic island","Mobile genetic element"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":745,"pubmed_id":22009673,"title":"ICEberg: a web-based resource for integrative and conjugative elements found in Bacteria.","year":2011,"url":"http://doi.org/10.1093/nar/gkr846","authors":"Bi D,Xu Z,Harrison EM,Tai C,Wei Y,He X,Jia S,Deng Z,Rajakumar K,Ou HY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr846","created_at":"2021-09-30T08:23:42.042Z","updated_at":"2021-09-30T11:28:49.508Z"}],"licence_links":[],"grants":[{"id":170,"fairsharing_record_id":1596,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:21.109Z","updated_at":"2021-09-30T09:29:30.849Z","grant_id":279,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","grant":"NCET-10-0572","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":168,"fairsharing_record_id":1596,"organisation_id":2628,"relation":"maintains","created_at":"2021-09-30T09:24:21.054Z","updated_at":"2021-09-30T09:24:21.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":2628,"name":"State Key Laboratory of Microbial Metabolism, Shanghai Jiaotong University, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":169,"fairsharing_record_id":1596,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:21.079Z","updated_at":"2021-09-30T09:24:21.079Z","grant_id":null,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":167,"fairsharing_record_id":1596,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:21.028Z","updated_at":"2021-09-30T09:29:54.038Z","grant_id":458,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2011BAD23B05-3","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8019,"fairsharing_record_id":1596,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:25.494Z","updated_at":"2021-09-30T09:30:25.553Z","grant_id":705,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2012CB721002","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8326,"fairsharing_record_id":1596,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:06.183Z","updated_at":"2021-09-30T09:32:06.241Z","grant_id":1470,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009CB118901","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1597","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:17.971Z","metadata":{"doi":"10.25504/FAIRsharing.h3y42f","name":"Intrinsically Disordered proteins with Extensive Annotations and Literature","status":"ready","contacts":[{"contact_name":"Satoshi Fukuchi","contact_email":"sfukuchi@maebashi-it.ac.jp"}],"homepage":"https://www.ideal-db.org/","citations":[{"doi":"10.1093/nar/gkt1010","pubmed_id":24178034,"publication_id":2728}],"identifier":1597,"description":"IDEAL (Intrinsically Disordered proteins with Extensive Annotations and Literature) is a collection of experimentally-verified intrinsically disordered proteins (IDPs) that cannot adopt stable globular structures under physiological conditions. IDEAL contains manually curated annotations on IDPs in locations, structures, and functional sites such as protein binding regions and post-translational modification sites together with references and structural domain assignments.","abbreviation":"IDEAL","data_curation":{"url":"https://www.ideal-db.org/help.pdf","type":"manual","notes":"IDEAL contains manual annotations by curators."},"support_links":[{"url":"ideal-admin@force.cs.is.nagoya-u.ac.jp","name":"General Enquiries","type":"Support email"},{"url":"mota@i.nagoya-u.ac.jp","name":"Motonori Ota","type":"Support email"},{"url":"https://www.ideal-db.org/help.pdf","name":"User Manual","type":"Help documentation"},{"url":"https://www.ideal-db.org/statistics.html","name":"Statistics","type":"Help documentation"},{"url":"https://www.ideal-db.org/whatsnew.html","name":"News","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000052","bsg-d000052"],"name":"FAIRsharing record for: Intrinsically Disordered proteins with Extensive Annotations and Literature","abbreviation":"IDEAL","url":"https://fairsharing.org/10.25504/FAIRsharing.h3y42f","doi":"10.25504/FAIRsharing.h3y42f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IDEAL (Intrinsically Disordered proteins with Extensive Annotations and Literature) is a collection of experimentally-verified intrinsically disordered proteins (IDPs) that cannot adopt stable globular structures under physiological conditions. IDEAL contains manually curated annotations on IDPs in locations, structures, and functional sites such as protein binding regions and post-translational modification sites together with references and structural domain assignments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Post-translational protein modification","Molecular interaction","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":["Ordered regions in proteins"],"countries":["Japan"],"publications":[{"id":2728,"pubmed_id":24178034,"title":"IDEAL in 2014 illustrates interaction networks composed of intrinsically disordered proteins and their binding partners.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1010","authors":"Fukuchi S,Amemiya T,Sakamoto S,Nobe Y,Hosoda K,Kado Y,Murakami SD,Koike R,Hiroaki H,Ota M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1010","created_at":"2021-09-30T08:27:35.076Z","updated_at":"2021-09-30T11:29:42.154Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1767,"relation":"undefined"}],"grants":[{"id":172,"fairsharing_record_id":1597,"organisation_id":1743,"relation":"maintains","created_at":"2021-09-30T09:24:21.199Z","updated_at":"2021-09-30T09:24:21.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":1743,"name":"Maebashi Institute of Technology, Gunma, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":171,"fairsharing_record_id":1597,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:21.159Z","updated_at":"2021-09-30T09:24:21.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":173,"fairsharing_record_id":1597,"organisation_id":1925,"relation":"maintains","created_at":"2021-09-30T09:24:21.231Z","updated_at":"2021-09-30T09:24:21.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":1925,"name":"Nagoya University, Nagoya, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1575","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:13:49.573Z","metadata":{"doi":"10.25504/FAIRsharing.tw7vf","name":"Human Disease-Related Viral Integration Sites","status":"deprecated","contacts":[{"contact_name":"Haitao Zhao","contact_email":"zhaoht@pumch.cn"}],"homepage":"http://www.bioinfo.org/drvis/index.php","identifier":1575,"description":"Dr.VIS collects and locates human disease-related viral integration sites. So far, about 600 sites covering 5 virus organisms and 11 human diseases are available. Integration sites in Dr.VIS are located against chromesome, cytoband, gene and refseq position as specific as possible. Viral-cellular junction sequences are extracted from papers and nucleotide databases, and linked to cooresponding integration sites Graphic views summarizing distribution of viral integration sites are generated according to chromosome maps.","abbreviation":"Dr.VIS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bioinfo.org/drvis/help.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000030","bsg-d000030"],"name":"FAIRsharing record for: Human Disease-Related Viral Integration Sites","abbreviation":"Dr.VIS","url":"https://fairsharing.org/10.25504/FAIRsharing.tw7vf","doi":"10.25504/FAIRsharing.tw7vf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dr.VIS collects and locates human disease-related viral integration sites. So far, about 600 sites covering 5 virus organisms and 11 human diseases are available. Integration sites in Dr.VIS are located against chromesome, cytoband, gene and refseq position as specific as possible. Viral-cellular junction sequences are extracted from papers and nucleotide databases, and linked to cooresponding integration sites Graphic views summarizing distribution of viral integration sites are generated according to chromosome maps.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Sequence position","DNA sequence data","Chromosomal region","Phenotype","Disease","Gene"],"taxonomies":["Barr virus","Hepatitis b virus","Homo sapiens","Human papillomavirus","Merkel cell polyomavirus","Virus type 1"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":750,"pubmed_id":25355513,"title":"Dr.VIS v2.0: an updated database of human disease-related viral integration sites in the era of high-throughput deep sequencing.","year":2014,"url":"http://doi.org/10.1093/nar/gku1074","authors":"Yang X,Li M,Liu Q,Zhang Y,Qian J,Wan X,Wang A,Zhang H,Zhu C,Lu X,Mao Y,Sang X,Zhao H,Zhao Y,Zhang X","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1074","created_at":"2021-09-30T08:23:42.584Z","updated_at":"2021-09-30T11:28:49.693Z"},{"id":1549,"pubmed_id":22135288,"title":"Dr.VIS: a database of human disease-related viral integration sites.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1142","authors":"Zhao X,Liu Q,Cai Q,Li Y,Xu C,Li Y,Li Z,Zhang X","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1142","created_at":"2021-09-30T08:25:13.558Z","updated_at":"2021-09-30T11:29:12.021Z"}],"licence_links":[],"grants":[{"id":8026,"fairsharing_record_id":1575,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:28.493Z","updated_at":"2021-09-30T09:30:28.554Z","grant_id":727,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"91229120","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":99,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:18.452Z","updated_at":"2021-09-30T09:29:47.303Z","grant_id":403,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009AA02Z308","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":105,"fairsharing_record_id":1575,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:18.678Z","updated_at":"2021-09-30T09:29:57.664Z","grant_id":487,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81101955","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":104,"fairsharing_record_id":1575,"organisation_id":2558,"relation":"funds","created_at":"2021-09-30T09:24:18.629Z","updated_at":"2021-09-30T09:32:00.086Z","grant_id":1423,"is_lead":false,"saved_state":{"id":2558,"name":"Shanghai Municipal Health Bureau Scientific Research Task","grant":"20114182","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8307,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:00.781Z","updated_at":"2021-09-30T09:32:00.831Z","grant_id":1428,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2010CB945501","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8441,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:39.535Z","updated_at":"2021-09-30T09:32:39.588Z","grant_id":1721,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2010CB529200","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8880,"fairsharing_record_id":1575,"organisation_id":915,"relation":"funds","created_at":"2022-02-13T18:59:37.184Z","updated_at":"2022-02-13T18:59:37.184Z","grant_id":1405,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"2010DFB33720","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":100,"fairsharing_record_id":1575,"organisation_id":2365,"relation":"funds","created_at":"2021-09-30T09:24:18.476Z","updated_at":"2021-09-30T09:29:15.144Z","grant_id":159,"is_lead":false,"saved_state":{"id":2365,"name":"Program for New Century Excellent Talents in University of China","grant":"NCET-11-0288","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7994,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:17.767Z","updated_at":"2021-09-30T09:30:17.812Z","grant_id":642,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2008BAI64B01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8216,"fairsharing_record_id":1575,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:35.857Z","updated_at":"2021-09-30T09:31:35.902Z","grant_id":1242,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30970623","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1576","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:05:33.103Z","metadata":{"doi":"10.25504/FAIRsharing.tx95wa","name":"EcoliWiki","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"ecoliwiki@gmail.com"}],"homepage":"https://ecoliwiki.org/colipedia/index.php/Welcome_to_EcoliWiki","citations":[],"identifier":1576,"description":"EcoliWiki is a community-based resource for the annotation of all non-pathogenic E. coli, its phages, plasmids, and mobile genetic elements. Users can contribute data to this wiki-style repository.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://ecoliwiki.org/colipedia/index.php/Category:Help","name":"Help Pages","type":"Help documentation"},{"url":"https://ecoliwiki.org/colipedia/index.php/FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[],"deprecation_date":"2024-04-29","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000031","bsg-d000031"],"name":"FAIRsharing record for: EcoliWiki","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tx95wa","doi":"10.25504/FAIRsharing.tx95wa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EcoliWiki is a community-based resource for the annotation of all non-pathogenic E. coli, its phages, plasmids, and mobile genetic elements. Users can contribute data to this wiki-style repository.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Bioinformatics","Genetics"],"domains":["Cis element","Molecular structure","Citation","Protein domain","Expression data","DNA sequence data","Gene Ontology enrichment","PTM site prediction","Function analysis","Gene model annotation","Cellular localization","Centrally registered identifier","Genetic interaction","Transcription factor","Protocol","Plasmid","Cloning plasmid","Phenotype","Classification","Teaching material","Structure","Transposable element","Sequence feature","Operon","Homologous","Orthologous","Insertion sequence","Prophage","Cryptic prophage","Allele","Sequence motif","Genetic strain"],"taxonomies":["Escherichia coli"],"user_defined_tags":["Conjugative plasmid","Expression plasmid","Molecules per cell","Phantom genes","Physical interaction","Unmapped gene"],"countries":["United States"],"publications":[{"id":43,"pubmed_id":19576778,"title":"What we can learn about Escherichia coli through application of Gene Ontology.","year":2009,"url":"http://doi.org/10.1016/j.tim.2009.04.004","authors":"Hu JC., Karp PD., Keseler IM., Krummenacker M., Siegele DA.,","journal":"Trends Microbiol.","doi":"10.1016/j.tim.2009.04.004","created_at":"2021-09-30T08:22:25.055Z","updated_at":"2021-09-30T08:22:25.055Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3186,"relation":"applies_to_content"}],"grants":[{"id":107,"fairsharing_record_id":1576,"organisation_id":2733,"relation":"maintains","created_at":"2021-09-30T09:24:18.725Z","updated_at":"2021-09-30T09:24:18.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":2733,"name":"Texas A\u0026M University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":106,"fairsharing_record_id":1576,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:18.701Z","updated_at":"2021-09-30T09:30:14.606Z","grant_id":617,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U24GM088849","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1577","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:11.091Z","metadata":{"doi":"10.25504/FAIRsharing.j1wj7d","name":"Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups","status":"ready","contacts":[{"contact_name":"Peer Bork","contact_email":"bork@embl.de"}],"homepage":"http://eggnog.embl.de","citations":[],"identifier":1577,"description":"eggNOG (evolutionary genealogy of genes: Non-supervised Orthologous Groups) is a database of orthologous groups of genes. The orthologous groups are annotated with functional description lines (derived by identifying a common denominator for the genes based on their various annotations), with functional categories (i.e derived from the original COG/KOG categories).","abbreviation":"eggNOG","data_curation":{"type":"not found"},"support_links":[{"url":"http://eggnog.embl.de/version_3.0/help.html","type":"Help documentation"},{"url":"http://eggnogdb.embl.de/#/app/methods","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/EggNOG_(database)","type":"Wikipedia"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000032","bsg-d000032"],"name":"FAIRsharing record for: Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups","abbreviation":"eggNOG","url":"https://fairsharing.org/10.25504/FAIRsharing.j1wj7d","doi":"10.25504/FAIRsharing.j1wj7d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: eggNOG (evolutionary genealogy of genes: Non-supervised Orthologous Groups) is a database of orthologous groups of genes. The orthologous groups are annotated with functional description lines (derived by identifying a common denominator for the genes based on their various annotations), with functional categories (i.e derived from the original COG/KOG categories).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Multiple sequence alignment","Gene","Orthologous"],"taxonomies":["All"],"user_defined_tags":["Newick tree"],"countries":["Germany"],"publications":[{"id":52,"pubmed_id":19900971,"title":"eggNOG v2.0: extending the evolutionary genealogy of genes with enhanced non-supervised orthologous groups, species and functional annotations.","year":2009,"url":"http://doi.org/10.1093/nar/gkp951","authors":"Muller J., Szklarczyk D., Julien P., Letunic I., Roth A., Kuhn M., Powell S., von Mering C., Doerks T., Jensen LJ., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp951","created_at":"2021-09-30T08:22:25.956Z","updated_at":"2021-09-30T08:22:25.956Z"},{"id":53,"pubmed_id":17942413,"title":"eggNOG: automated construction and annotation of orthologous groups of genes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm796","authors":"Jensen LJ., Julien P., Kuhn M., von Mering C., Muller J., Doerks T., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm796","created_at":"2021-09-30T08:22:26.056Z","updated_at":"2021-09-30T08:22:26.056Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":95,"relation":"undefined"}],"grants":[{"id":109,"fairsharing_record_id":1577,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:18.776Z","updated_at":"2021-09-30T09:24:18.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":112,"fairsharing_record_id":1577,"organisation_id":930,"relation":"funds","created_at":"2021-09-30T09:24:18.891Z","updated_at":"2021-09-30T09:29:05.266Z","grant_id":87,"is_lead":false,"saved_state":{"id":930,"name":"European FP6 Eurasnet project","grant":"LSHG-CT-2005-518238","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":111,"fairsharing_record_id":1577,"organisation_id":274,"relation":"funds","created_at":"2021-09-30T09:24:18.849Z","updated_at":"2021-09-30T09:32:13.408Z","grant_id":1523,"is_lead":false,"saved_state":{"id":274,"name":"BioSapiens Network of Excellence, Europe","grant":"LSHG-CT-2003-503265","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":113,"fairsharing_record_id":1577,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:24:18.933Z","updated_at":"2021-09-30T09:29:26.427Z","grant_id":251,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"IMPACT 213037","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":110,"fairsharing_record_id":1577,"organisation_id":817,"relation":"funds","created_at":"2021-09-30T09:24:18.807Z","updated_at":"2021-09-30T09:31:42.111Z","grant_id":1289,"is_lead":false,"saved_state":{"id":817,"name":"EC GeneFun","grant":"LSHG-CT-2004-503567","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9350,"fairsharing_record_id":1577,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.321Z","updated_at":"2022-04-11T12:07:32.339Z","grant_id":322,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GS08169","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9366,"fairsharing_record_id":1577,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.433Z","updated_at":"2022-04-11T12:07:33.449Z","grant_id":726,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GR0454","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1588","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:15:12.516Z","metadata":{"doi":"10.25504/FAIRsharing.f5zx00","name":"Expression Atlas","status":"ready","contacts":[{"contact_email":"atlas-feedback@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/gxa","citations":[{"doi":"0.1093/nar/gkz947","pubmed_id":31665515,"publication_id":2607}],"identifier":1588,"description":"The Expression Atlas is a free resource providing information on gene expression patterns under different biological conditions in a variety of species. Gene expression data is re-analysed in-house to detect genes showing interesting baseline and differential expression patterns, allowing a user to ask questions such as \"what are the genes expressed in normal human liver\" and \"what genes are differentially expressed between water-stressed rice plants and controls with normal watering?\" The resource features proteomics data sets provided by collaborators for corroboration between gene- and protein-level expression results. The latest component, Single Cell Expression Atlas, systematically reanalyses and visualises single cell RNA-sequencing datasets and helps answer questions such as what cell population a gene can act as a marker gene.","abbreviation":"Expression Atlas","data_curation":{"url":"https://www.ebi.ac.uk/gxa/about.html","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/support/gxa","name":"GXA Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/gxa/FAQ.html","name":"Expression Atlas FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/gxa/help/index.html","name":"Expression Atlas Help","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gxa/sc/help.html","name":"Single Cell Expression Atlas Help","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gxa/about.html","name":"About Expression Atlas","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/expression-atlas-quick-tour","name":"Expression atlas quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/course/life-cell-cell-introduction-single-cell-expression-atlas","name":"Webinar Single Cell Expression Atlas","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/explore-gene-expression-across-species-expression-atlas","name":"Webinar Bulk Expression Atlas","type":"Training documentation"},{"url":"https://twitter.com/ExpressionAtlas","name":"@ExpressionAtlas","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Expression_Atlas","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://nunofonseca.github.io/irap/","name":"iRAP"},{"url":"https://www.bioconductor.org/packages/release/bioc/html/ExpressionAtlas.html","name":"ExpressionAtlas R Package on Bioconductor"},{"url":"https://github.com/ebi-gene-expression-group/atlas-heatmap","name":"Expression Atlas Heatmap"},{"url":"https://github.com/ebi-gene-expression-group/atlas-web-core","name":"Expression Atlas web application (core components)"},{"url":"https://github.com/ebi-gene-expression-group/atlas-web-bulk","name":"Expression Atlas web application (bulk components)"},{"url":"https://github.com/ebi-gene-expression-group/atlas-web-single-cell","name":"Expression Atlas web application (single cell components)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010223","name":"re3data:r3d100010223","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007989","name":"SciCrunch:RRID:SCR_007989","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/gxa/about.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000043","bsg-d000043"],"name":"FAIRsharing record for: Expression Atlas","abbreviation":"Expression Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.f5zx00","doi":"10.25504/FAIRsharing.f5zx00","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Expression Atlas is a free resource providing information on gene expression patterns under different biological conditions in a variety of species. Gene expression data is re-analysed in-house to detect genes showing interesting baseline and differential expression patterns, allowing a user to ask questions such as \"what are the genes expressed in normal human liver\" and \"what genes are differentially expressed between water-stressed rice plants and controls with normal watering?\" The resource features proteomics data sets provided by collaborators for corroboration between gene- and protein-level expression results. The latest component, Single Cell Expression Atlas, systematically reanalyses and visualises single cell RNA-sequencing datasets and helps answer questions such as what cell population a gene can act as a marker gene.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11319},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12154},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12580}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Transcriptomics"],"domains":["Expression data","Differential gene expression analysis","Gene expression","RNA sequencing"],"taxonomies":["All"],"user_defined_tags":["Single cell gene expression"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":65,"pubmed_id":19906730,"title":"Gene expression atlas at the European bioinformatics institute.","year":2009,"url":"http://doi.org/10.1093/nar/gkp936","authors":"Kapushesky M., Emam I., Holloway E., Kurnosov P., Zorin A., Malone J., Rustici G., Williams E., Parkinson H., Brazma A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp936","created_at":"2021-09-30T08:22:27.289Z","updated_at":"2021-09-30T08:22:27.289Z"},{"id":382,"pubmed_id":29165655,"title":"Expression Atlas: gene and protein expression across multiple studies and organisms.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1158","authors":"Papatheodorou I,Fonseca NA,Keays M,Tang YA,Barrera E,Bazant W,Burke M,Fullgrabe A,Fuentes AM,George N,Huerta L,Koskinen S,Mohammed S,Geniza M,Preece J,Jaiswal P,Jarnuczak AF,Huber W,Stegle O,Vizcaino JA,Brazma A,Petryszak R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1158","created_at":"2021-09-30T08:23:01.406Z","updated_at":"2021-09-30T11:28:46.133Z"},{"id":817,"pubmed_id":24304889,"title":"Expression Atlas update--a database of gene and transcript expression from microarray- and sequencing-based functional genomics experiments.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1270","authors":"Petryszak R, Burdett T, Fiorelli B, Fonseca NA, Gonzalez-Porta M, Hastings E, Huber W, Jupp S, Keays M, Kryvych N, McMurry J, Marioni JC, Malone J, Megy K, Rustici G, Tang AY, Taubert J, Williams E, Mannion O, Parkinson HE, Brazma A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1270","created_at":"2021-09-30T08:23:50.113Z","updated_at":"2021-09-30T08:23:50.113Z"},{"id":2596,"pubmed_id":26481351,"title":"Expression Atlas update--an integrated database of gene and protein expression in humans, animals and plants.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1045","authors":"Petryszak R,Keays M,Tang YA,Fonseca NA,Barrera E,Burdett T,Fullgrabe A,Fuentes AM,Jupp S,Koskinen S,Mannion O,Huerta L,Megy K,Snow C,Williams E,Barzine M,Hastings E,Weisser H,Wright J,Jaiswal P,Huber W,Choudhary J,Parkinson HE,Brazma A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1045","created_at":"2021-09-30T08:27:18.568Z","updated_at":"2021-09-30T11:29:40.311Z"},{"id":2607,"pubmed_id":31665515,"title":"Expression Atlas update: from tissues to single cells","year":2019,"url":"http://doi.org/10.1093/nar/gkz947","authors":"Irene Papatheodorou, Pablo Moreno, Jonathan Manning, Alfonso Muñoz-Pomer Fuentes, Nancy George, Silvie Fexova et al.,","journal":"Nucleic Acids Research","doi":"0.1093/nar/gkz947","created_at":"2021-09-30T08:27:20.014Z","updated_at":"2021-09-30T08:27:20.014Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2314,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2313,"relation":"undefined"}],"grants":[{"id":148,"fairsharing_record_id":1588,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:20.384Z","updated_at":"2021-09-30T09:24:20.384Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9240,"fairsharing_record_id":1588,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.696Z","updated_at":"2022-04-11T12:07:24.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1589","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:55:02.387Z","metadata":{"doi":"10.25504/FAIRsharing.j7esqq","name":"GeneDB","status":"deprecated","contacts":[{"contact_email":"genedb-help@sanger.ac.uk"}],"homepage":"http://www.genedb.org/","identifier":1589,"description":"GeneDB is a genome database for prokaryotic and eukaryotic organisms and provides a portal through which data generated by the \"Pathogen Genomics\" group at the Wellcome Trust Sanger Institute and other collaborating sequencing centres can be accessed.","abbreviation":"GeneDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genedb.org/Page/genedbFAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.genedb.org/Page/aboutUs","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GeneDB","type":"Wikipedia"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"http://www.sanger.ac.uk/science/tools/artemis","name":"Artemis"},{"url":"http://www.genedb.org/web-artemis/","name":"Web-Artemis"},{"url":"http://www.sanger.ac.uk/science/tools/artemis-comparison-tool-act","name":"ACT"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010626","name":"re3data:r3d100010626","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002774","name":"SciCrunch:RRID:SCR_002774","portal":"SciCrunch"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available, and its data migrated to other resources. (See https://www.genedb.org/)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000044","bsg-d000044"],"name":"FAIRsharing record for: GeneDB","abbreviation":"GeneDB","url":"https://fairsharing.org/10.25504/FAIRsharing.j7esqq","doi":"10.25504/FAIRsharing.j7esqq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneDB is a genome database for prokaryotic and eukaryotic organisms and provides a portal through which data generated by the \"Pathogen Genomics\" group at the Wellcome Trust Sanger Institute and other collaborating sequencing centres can be accessed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Pathogen","Sequence","Genome"],"taxonomies":["Bacteria","Helmintha","Protozoa","Viruses"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":73,"pubmed_id":14681429,"title":"GeneDB: a resource for prokaryotic and eukaryotic organisms.","year":2003,"url":"http://doi.org/10.1093/nar/gkh007","authors":"Hertz-Fowler C., Peacock CS., Wood V., Aslett M., Kerhornou A., Mooney P., Tivey A., Berriman M., Hall N., Rutherford K., Parkhill J., Ivens AC., Rajandream MA., Barrell B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh007","created_at":"2021-09-30T08:22:28.050Z","updated_at":"2021-09-30T08:22:28.050Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Generic (CC BY-NC-ND 2.5)","licence_id":175,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/","link_id":137,"relation":"undefined"},{"licence_name":"Sanger Terms and Conditions of Use","licence_id":725,"licence_url":"http://www.sanger.ac.uk/legal/","link_id":138,"relation":"undefined"}],"grants":[{"id":150,"fairsharing_record_id":1589,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:20.465Z","updated_at":"2021-09-30T09:24:20.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1590","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:36:23.324Z","metadata":{"doi":"10.25504/FAIRsharing.1ety1h","name":"GeneSigDB: a manually curated database and resource for analysis of gene expression signatures","status":"deprecated","contacts":[{"contact_name":"Aedin Culhane","contact_email":"aedin@jimmy.harvard.edu"}],"homepage":"http://www.genesigdb.org","identifier":1590,"description":"Gene Signature DataBase (GeneSigDB) is a database of gene signatures (or gene sets) that have been extracted and manually curated from articles that are indexed by PubMed.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genesigdb.org/genesigdb/","type":"Contact form"},{"url":"genesigdb@jimmy.harvard.edu","type":"Support email"},{"url":"http://www.genesigdb.org/genesigdb/documentation.jsp","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000045","bsg-d000045"],"name":"FAIRsharing record for: GeneSigDB: a manually curated database and resource for analysis of gene expression signatures","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1ety1h","doi":"10.25504/FAIRsharing.1ety1h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Signature DataBase (GeneSigDB) is a database of gene signatures (or gene sets) that have been extracted and manually curated from articles that are indexed by PubMed.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12581}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Bibliography","Cancer","Curated information","Gene"],"taxonomies":["All","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":67,"pubmed_id":19934259,"title":"GeneSigDB--a curated database of gene expression signatures.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1015","authors":"Culhane AC., Schwarzl T., Sultana R., Picard KC., Picard SC., Lu TH., Franklin KR., French SJ., Papenhausen G., Correll M., Quackenbush J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1015","created_at":"2021-09-30T08:22:27.479Z","updated_at":"2021-09-30T08:22:27.479Z"}],"licence_links":[],"grants":[{"id":151,"fairsharing_record_id":1590,"organisation_id":636,"relation":"undefined","created_at":"2021-09-30T09:24:20.497Z","updated_at":"2021-09-30T09:24:20.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":152,"fairsharing_record_id":1590,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:20.529Z","updated_at":"2021-09-30T09:29:52.230Z","grant_id":443,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01-CA098522","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":153,"fairsharing_record_id":1590,"organisation_id":29,"relation":"maintains","created_at":"2021-09-30T09:24:20.552Z","updated_at":"2021-09-30T09:24:20.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":29,"name":"Aedin Culhane Lab, Harvard School of Public Health, Boston, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7952,"fairsharing_record_id":1590,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:30:02.825Z","updated_at":"2021-09-30T09:30:02.929Z","grant_id":529,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"1P50HG004233","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8932,"fairsharing_record_id":1590,"organisation_id":1215,"relation":"maintains","created_at":"2022-03-09T13:28:05.163Z","updated_at":"2022-03-09T13:28:05.163Z","grant_id":null,"is_lead":false,"saved_state":{"id":1215,"name":"Harvard T.H. Chan School of Public Health, Boston, MA, United States","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1591","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T09:45:40.974Z","metadata":{"doi":"10.25504/FAIRsharing.x18jh7","name":"HaploReg","status":"deprecated","contacts":[{"contact_name":"Manolis Kellis","contact_email":"manoli@mit.edu"}],"homepage":"http://compbio.mit.edu/HaploReg","citations":[],"identifier":1591,"description":"HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using LD information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with chromatin state and protein binding annotation from the Roadmap Epigenomics and ENCODE projects, sequence conservation across mammals, the effect of SNPs on regulatory motifs, and the effect of SNPs on expression from eQTL studies. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation.","abbreviation":"HaploReg","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://pubs.broadinstitute.org/mammals/haploreg/haploreg.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2024-04-29","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000046","bsg-d000046"],"name":"FAIRsharing record for: HaploReg","abbreviation":"HaploReg","url":"https://fairsharing.org/10.25504/FAIRsharing.x18jh7","doi":"10.25504/FAIRsharing.x18jh7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using LD information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with chromatin state and protein binding annotation from the Roadmap Epigenomics and ENCODE projects, sequence conservation across mammals, the effect of SNPs on regulatory motifs, and the effect of SNPs on expression from eQTL studies. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Biological regulation","Chromatin immunoprecipitation - DNA sequencing","Conserved region","Allele frequency","Chromatin structure variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Distance to genes","DNAse hypersensitivity"],"countries":["United States"],"publications":[{"id":1525,"pubmed_id":26657631,"title":"HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1340","authors":"Ward LD,Kellis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1340","created_at":"2021-09-30T08:25:10.742Z","updated_at":"2021-09-30T11:29:12.260Z"},{"id":1526,"pubmed_id":22064851,"title":"HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants.","year":2011,"url":"http://doi.org/10.1093/nar/gkr917","authors":"Ward LD,Kellis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr917","created_at":"2021-09-30T08:25:10.849Z","updated_at":"2021-09-30T11:29:12.351Z"}],"licence_links":[],"grants":[{"id":8226,"fairsharing_record_id":1591,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:31:38.123Z","updated_at":"2021-09-30T09:31:38.175Z","grant_id":1259,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01-HG004037","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":155,"fairsharing_record_id":1591,"organisation_id":1632,"relation":"undefined","created_at":"2021-09-30T09:24:20.608Z","updated_at":"2021-09-30T09:24:20.608Z","grant_id":null,"is_lead":false,"saved_state":{"id":1632,"name":"Kellis Lab, MIT Computer Science and Broad Institute, Cambridge, MA, USA","types":["Lab"],"is_lead":false,"relation":"undefined"}},{"id":156,"fairsharing_record_id":1591,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:20.651Z","updated_at":"2021-09-30T09:31:32.417Z","grant_id":1216,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0644282","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":157,"fairsharing_record_id":1591,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:20.693Z","updated_at":"2021-09-30T09:29:00.951Z","grant_id":55,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"RC1-HG005334","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8018,"fairsharing_record_id":1591,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:30:25.275Z","updated_at":"2021-09-30T09:30:25.313Z","grant_id":703,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01-HG008155","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1585","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:33.454Z","metadata":{"doi":"10.25504/FAIRsharing.xf30yc","name":"Fungal and Oomycete genomics resource","status":"ready","contacts":[{"contact_name":"Jason E. Stajich","contact_email":"jason.stajich@ucr.edu","contact_orcid":"0000-0002-7591-0020"}],"homepage":"http://fungidb.org","citations":[],"identifier":1585,"description":"FungiDB is an integrated genomic and functional genomic database for the kingdom Fungi. The database integrates whole genome sequence and annotation and also includes experimental and environmental isolate sequence data. The database includes comparative genomics, analysis of gene expression, and supplemental bioinformatics analyses and a web interface for data-mining.","abbreviation":"FungiDB","data_curation":{"url":"https://fungidb.org/fungidb/app/static-content/methods.html","type":"manual/automated"},"support_links":[{"url":"http://fungidb.org/fungidb/contact.do","type":"Contact form"},{"url":"https://www.genome.gov/glossary/","type":"Help documentation"},{"url":"http://fungidb.org/fungidb/showXmlDataContent.do?name=XmlQuestions.Glossary","type":"Help documentation"},{"url":"http://fungidb.org/fungidb/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Training documentation"},{"url":"https://www.youtube.com/user/EuPathDB/videos?sort=dd\u0026flow=list\u0026view=1","type":"Video"},{"url":"http://workshop.eupathdb.org/current/index.php?page=schedule","type":"Training documentation"},{"url":"https://twitter.com/fungidb","type":"Twitter"},{"url":"https://static-content.veupathdb.org//documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","name":"Submission and Release Policy","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://grna.ctegd.uga.edu/","name":"EuPaGDT"},{"url":"http://companion.gla.ac.uk/","name":"Companion"},{"url":"http://fungidb.org/fungidb/showQuestion.do?questionFullName=UniversalQuestions.UnifiedBlast","name":"blast"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011906","name":"re3data:r3d100011906","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006013","name":"SciCrunch:RRID:SCR_006013","portal":"SciCrunch"}],"data_access_condition":{"url":"https://fungidb.org/fungidb/app/static-content/about.html#about_use","type":"open","notes":"All data provided freely for public use"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"open","notes":"Deposition of in-scope data is open to all"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000040","bsg-d000040"],"name":"FAIRsharing record for: Fungal and Oomycete genomics resource","abbreviation":"FungiDB","url":"https://fairsharing.org/10.25504/FAIRsharing.xf30yc","doi":"10.25504/FAIRsharing.xf30yc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FungiDB is an integrated genomic and functional genomic database for the kingdom Fungi. The database integrates whole genome sequence and annotation and also includes experimental and environmental isolate sequence data. The database includes comparative genomics, analysis of gene expression, and supplemental bioinformatics analyses and a web interface for data-mining.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Citation","Protein domain","Gene name","DNA sequence data","Free text","Gene Ontology enrichment","Protein identification","Gene model annotation","Protein targeting","Protein localization","Genetic polymorphism","RNA sequencing","Phenotype","Crowdsourcing","Single nucleotide polymorphism","Orthologous"],"taxonomies":["Fungi","Oomycetes"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":798,"pubmed_id":27259951,"title":"Database whiplash, crowdsourcing, and FungiDB.","year":2016,"url":"http://doi.org/10.1016/j.fgb.2016.04.002","authors":"Momany M","journal":"Fungal Genet Biol","doi":"10.1016/j.fgb.2016.04.002","created_at":"2021-09-30T08:23:47.986Z","updated_at":"2021-09-30T08:23:47.986Z"},{"id":1364,"pubmed_id":22064857,"title":"FungiDB: an integrated functional genomics database for fungi.","year":2011,"url":"http://doi.org/10.1093/nar/gkr918","authors":"Stajich JE,Harris T,Brunk BP,Brestelli J,Fischer S,Harb OS,Kissinger JC,Li W,Nayak V,Pinney DF,Stoeckert CJ Jr,Roos DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr918","created_at":"2021-09-30T08:24:52.565Z","updated_at":"2021-09-30T11:29:07.101Z"},{"id":1375,"pubmed_id":24813190,"title":"Literature-based gene curation and proposed genetic nomenclature for cryptococcus.","year":2014,"url":"http://doi.org/10.1128/EC.00083-14","authors":"Inglis DO,Skrzypek MS,Liaw E,Moktali V,Sherlock G,Stajich JE","journal":"Eukaryot Cell","doi":"10.1128/EC.00083-14","created_at":"2021-09-30T08:24:53.793Z","updated_at":"2021-09-30T08:24:53.793Z"}],"licence_links":[],"grants":[{"id":137,"fairsharing_record_id":1585,"organisation_id":2944,"relation":"maintains","created_at":"2021-09-30T09:24:19.855Z","updated_at":"2021-09-30T09:24:19.855Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":138,"fairsharing_record_id":1585,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:19.894Z","updated_at":"2021-09-30T09:30:22.458Z","grant_id":681,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":135,"fairsharing_record_id":1585,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:24:19.779Z","updated_at":"2021-09-30T09:24:19.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":139,"fairsharing_record_id":1585,"organisation_id":2854,"relation":"maintains","created_at":"2021-09-30T09:24:19.921Z","updated_at":"2021-09-30T09:24:19.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":8058,"fairsharing_record_id":1585,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:30:41.586Z","updated_at":"2021-09-30T09:30:41.636Z","grant_id":825,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9984,"fairsharing_record_id":1585,"organisation_id":3549,"relation":"maintains","created_at":"2022-10-07T16:10:03.108Z","updated_at":"2022-10-07T16:10:03.108Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":136,"fairsharing_record_id":1585,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:24:19.817Z","updated_at":"2021-09-30T09:30:12.811Z","grant_id":601,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture, US Department of Agriculture","grant":"2011-68004-30104","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":134,"fairsharing_record_id":1585,"organisation_id":439,"relation":"maintains","created_at":"2021-09-30T09:24:19.747Z","updated_at":"2021-09-30T09:24:19.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":439,"name":"Center for Tropical \u0026 Emerging Global Diseases, University of Georgia, Athens, GA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":140,"fairsharing_record_id":1585,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:19.955Z","updated_at":"2021-09-30T09:30:47.467Z","grant_id":872,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R03 AI105636-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdE1CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--048955e2f717f7ca0ab389f1205af039315d6555/fungiDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1586","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:26.366Z","metadata":{"doi":"10.25504/FAIRsharing.556qpw","name":"FunTree: A Resource For Exploring The Functional Evolution Of Structurally Defined Enzyme Superfamilies","status":"ready","contacts":[{"contact_name":"Nick Furnham","contact_email":"Nick.Furnham@lshtm.ac.uk"}],"homepage":"http://www.funtree.info/FunTree/","citations":[],"identifier":1586,"description":"A resource for exploring the evolution of protein function through relationships in sequence, structure, phylogeny and function.","abbreviation":"FunTree","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://cpmb.lshtm.ac.uk/templates/FunTree_Docs.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000041","bsg-d000041"],"name":"FAIRsharing record for: FunTree: A Resource For Exploring The Functional Evolution Of Structurally Defined Enzyme Superfamilies","abbreviation":"FunTree","url":"https://fairsharing.org/10.25504/FAIRsharing.556qpw","doi":"10.25504/FAIRsharing.556qpw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A resource for exploring the evolution of protein function through relationships in sequence, structure, phylogeny and function.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12578}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenetics","Life Science"],"domains":["Protein structure","Function analysis","Evolution","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":1321,"pubmed_id":26590404,"title":"FunTree: advances in a resource for exploring and contextualising protein function evolution.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1274","authors":"Sillitoe I,Furnham N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1274","created_at":"2021-09-30T08:24:47.692Z","updated_at":"2021-09-30T11:29:06.043Z"},{"id":1528,"pubmed_id":22006843,"title":"FunTree: a resource for exploring the functional evolution of structurally defined enzyme superfamilies.","year":2011,"url":"http://doi.org/10.1093/nar/gkr852","authors":"Furnham N,Sillitoe I,Holliday GL,Cuff AL,Rahman SA,Laskowski RA,Orengo CA,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr852","created_at":"2021-09-30T08:25:11.049Z","updated_at":"2021-09-30T11:29:12.577Z"}],"licence_links":[],"grants":[{"id":145,"fairsharing_record_id":1586,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:20.216Z","updated_at":"2021-09-30T09:30:49.641Z","grant_id":889,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K020013/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":141,"fairsharing_record_id":1586,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:19.992Z","updated_at":"2021-09-30T09:29:51.678Z","grant_id":439,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"081989/Z/07/A","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":142,"fairsharing_record_id":1586,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:20.101Z","updated_at":"2021-09-30T09:30:16.821Z","grant_id":634,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"MR/K020420","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9239,"fairsharing_record_id":1586,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.642Z","updated_at":"2022-04-11T12:07:24.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9402,"fairsharing_record_id":1586,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.925Z","updated_at":"2022-04-11T12:07:35.942Z","grant_id":858,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-06CH11357","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1598","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:13.166Z","metadata":{"doi":"10.25504/FAIRsharing.ae956n","name":"Integrated Microbial Genomes And Microbiomes","status":"ready","contacts":[{"contact_name":"Victor M. Markowitz","contact_email":"VMMarkowitz@lbl.gov"}],"homepage":"http://img.jgi.doe.gov/cgi-bin/m/main.cgi","citations":[{"doi":"10.1093/nar/gky901","pubmed_id":30289528,"publication_id":3049}],"identifier":1598,"description":"The Integrated Microbial Genomes (IMG/M) aims to support the annotation, analysis and distribution of microbial genome and microbiome datasets sequenced at DOE's Joint Genome Institute (JGI). It also serves as a community resource for analysis and annotation of genome and metagenome datasets in a comprehensive comparative context. The IMG data warehouse integrates genome and metagenome datasets provided by IMG users with a set of publicly available genome and metagenome datasets. IMG/M is also open to scientists worldwide for the annotation, analysis, and distribution of their own genome and microbiome datasets, as long as they agree with the IMG/M data release policy and follow the metadata requirements for integrating data into IMG/M.","abbreviation":"IMG/M","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://img.jgi.doe.gov/cgi-bin/m/main.cgi?section=Questions","name":"Contact Form","type":"Contact form"},{"url":"https://img.jgi.doe.gov/docs/submission/","name":"Submission FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://img.jgi.doe.gov/docs/faq","name":"General FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/a/lbl.gov/g/img-user-forum","name":"IMG User Forum","type":"Forum"},{"url":"https://img.jgi.doe.gov/help.html","name":"Help","type":"Help documentation"},{"url":"https://img.jgi.doe.gov/docs/DownloadingIMGSequenceAndAnnotationData.pdf","name":"Download IMG Sequence \u0026 Annotation Data (PDF)","type":"Help documentation"},{"url":"https://img.jgi.doe.gov/docs/DownloadIMGgenesAnnotated.pdf","name":"Download IMG Genes Annotated with Specific Function (PDF)","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://jgi.doe.gov/data-and-tools/data-management-policy-practices-resources/","name":"More information"},"data_deposition_condition":{"url":"https://img.jgi.doe.gov/cgi-bin/submit/main.cgi","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000053","bsg-d000053"],"name":"FAIRsharing record for: Integrated Microbial Genomes And Microbiomes","abbreviation":"IMG/M","url":"https://fairsharing.org/10.25504/FAIRsharing.ae956n","doi":"10.25504/FAIRsharing.ae956n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Microbial Genomes (IMG/M) aims to support the annotation, analysis and distribution of microbial genome and microbiome datasets sequenced at DOE's Joint Genome Institute (JGI). It also serves as a community resource for analysis and annotation of genome and metagenome datasets in a comprehensive comparative context. The IMG data warehouse integrates genome and metagenome datasets provided by IMG users with a set of publicly available genome and metagenome datasets. IMG/M is also open to scientists worldwide for the annotation, analysis, and distribution of their own genome and microbiome datasets, as long as they agree with the IMG/M data release policy and follow the metadata requirements for integrating data into IMG/M.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12582}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metagenomics","Genomics","Comparative Genomics"],"domains":["Citation","Protein domain","DNA sequence data","Gene Ontology enrichment","Transmembrane protein prediction","Genome annotation","Protein cleavage site prediction","Computational biological predictions","Protein identification","Ribonucleic acid","Gene model annotation","Transport","Molecular interaction","Enzyme","Plasmid","Protein expression profiling","RNA sequencing","Phenotype","Pseudogene","Orthologous","Genome","Microbiome"],"taxonomies":["Archaea","Bacteria","Eukaryota","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1944,"pubmed_id":16873494,"title":"An experimental metagenome data management and analysis system.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl217","authors":"Markowitz VM., Ivanova N., Palaniappan K., Szeto E., Korzeniewski F., Lykidis A., Anderson I., Mavromatis K., Mavrommatis K., Kunin V., Garcia Martin H., Dubchak I., Hugenholtz P., Kyrpides NC.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl217","created_at":"2021-09-30T08:25:58.757Z","updated_at":"2021-09-30T08:25:58.757Z"},{"id":3049,"pubmed_id":30289528,"title":"IMG/M v.5.0: an integrated data management and comparative analysis system for microbial genomes and microbiomes.","year":2018,"url":"http://doi.org/10.1093/nar/gky901","authors":"Chen IA,Chu K,Palaniappan K,Pillay M,Ratner A,Huang J,Huntemann M,Varghese N,White JR,Seshadri R,Smirnova T,Kirton E,Jungbluth SP,Woyke T,Eloe-Fadrosh EA,Ivanova NN,Kyrpides NC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky901","created_at":"2021-09-30T08:28:15.729Z","updated_at":"2021-09-30T11:29:50.129Z"},{"id":3053,"pubmed_id":17932063,"title":"IMG/M: a data management and analysis system for metagenomes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm869","authors":"Markowitz VM., Ivanova NN., Szeto E., Palaniappan K., Chu K., Dalevi D., Chen IM., Grechkin Y., Dubchak I., Anderson I., Lykidis A., Mavromatis K., Hugenholtz P., Kyrpides NC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm869","created_at":"2021-09-30T08:28:16.199Z","updated_at":"2021-09-30T08:28:16.199Z"},{"id":3054,"pubmed_id":24165883,"title":"IMG 4 version of the integrated microbial genomes comparative analysis system.","year":2013,"url":"http://doi.org/10.1093/nar/gkt963","authors":"Markowitz VM,Chen IM,Palaniappan K,Chu K,Szeto E,Pillay M,Ratner A,Huang J,Woyke T,Huntemann M,Anderson I,Billis K,Varghese N,Mavromatis K,Pati A,Ivanova NN,Kyrpides NC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt963","created_at":"2021-09-30T08:28:16.347Z","updated_at":"2021-09-30T11:29:50.312Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1971,"relation":"undefined"},{"licence_name":"JGI Data Management Policy, Practices \u0026 Resources","licence_id":469,"licence_url":"https://jgi.doe.gov/data-and-tools/data-management-policy-practices-resources/","link_id":1970,"relation":"undefined"}],"grants":[{"id":4139,"fairsharing_record_id":1598,"organisation_id":2284,"relation":"collaborates_on","created_at":"2021-09-30T09:26:38.320Z","updated_at":"2022-09-21T21:02:10.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":2284,"name":"Pacific Northwest National Laboratory","types":["Government body","Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":4143,"fairsharing_record_id":1598,"organisation_id":1728,"relation":"collaborates_on","created_at":"2021-09-30T09:26:38.420Z","updated_at":"2022-09-21T21:06:35.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":4142,"fairsharing_record_id":1598,"organisation_id":2204,"relation":"collaborates_on","created_at":"2021-09-30T09:26:38.395Z","updated_at":"2022-09-21T21:06:35.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":2204,"name":"Oak Ridge National Laboratory, USA","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":174,"fairsharing_record_id":1598,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:24:21.268Z","updated_at":"2022-09-21T21:06:45.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9908,"fairsharing_record_id":1598,"organisation_id":3371,"relation":"collaborates_on","created_at":"2022-09-21T21:02:10.868Z","updated_at":"2022-09-21T21:02:10.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":3371,"name":"Environmental Molecular Sciences Laboratory","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":4141,"fairsharing_record_id":1598,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:26:38.371Z","updated_at":"2022-09-21T21:02:10.926Z","grant_id":null,"is_lead":true,"saved_state":{"id":1691,"name":"Berkeley Lab","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":8132,"fairsharing_record_id":1598,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:31:07.505Z","updated_at":"2022-09-21T21:02:11.155Z","grant_id":1028,"is_lead":false,"saved_state":{"id":2943,"name":"Office of Biological and Environmental Research","grant":"DE-AC02-05CH11231 (LBNL)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":176,"fairsharing_record_id":1598,"organisation_id":255,"relation":"collaborates_on","created_at":"2021-09-30T09:24:21.352Z","updated_at":"2022-09-21T21:06:35.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":255,"name":"Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, Berkeley, CA, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1578","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:42.707Z","metadata":{"doi":"10.25504/FAIRsharing.rj3kj5","name":"Eukaryotic Linear Motifs","status":"ready","contacts":[{"contact_name":"ELM feedback email","contact_email":"feedback@elm.eu.org"}],"homepage":"http://elm.eu.org","citations":[],"identifier":1578,"description":"This computational biology resource mainly focuses on annotation and detection of eukaryotic linear motifs (ELMs) by providing both a repository of annotated motif data and an exploratory tool for motif prediction. ELMs, or short linear motifs (SLiMs), are compact protein interaction sites composed of short stretches of adjacent amino acids.","abbreviation":"ELM","data_curation":{"url":"http://elm.eu.org/index.html","type":"manual","notes":"The ELM relational database stores different types of data about experimentally validated SLiMs that are manually curated from the literature."},"support_links":[{"url":"http://elm.eu.org/infos/help.html","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Eukaryotic_Linear_Motif_resource","type":"Wikipedia"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://elm.eu.org/combined_search?query=blast","name":"BLAST"},{"url":"http://elm.eu.org/elms/browse_instances.html","name":"Browse"},{"url":"http://elm.eu.org/search/","name":"Search"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"http://elm.eu.org/infos/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000033","bsg-d000033"],"name":"FAIRsharing record for: Eukaryotic Linear Motifs","abbreviation":"ELM","url":"https://fairsharing.org/10.25504/FAIRsharing.rj3kj5","doi":"10.25504/FAIRsharing.rj3kj5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This computational biology resource mainly focuses on annotation and detection of eukaryotic linear motifs (ELMs) by providing both a repository of annotated motif data and an exploratory tool for motif prediction. ELMs, or short linear motifs (SLiMs), are compact protein interaction sites composed of short stretches of adjacent amino acids.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12576}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Gene Ontology enrichment","Computational biological predictions","Protein interaction","Protein","Sequence motif"],"taxonomies":["Eukaryota"],"user_defined_tags":["Eukaryotic Linear Motif","Polypeptide motif","Short Linear Motif (SLiM)"],"countries":["Germany","European Union"],"publications":[{"id":46,"pubmed_id":12824381,"title":"ELM server: A new resource for investigating short functional sites in modular eukaryotic proteins.","year":2003,"url":"http://doi.org/10.1093/nar/gkg545","authors":"Puntervoll P. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg545","created_at":"2021-09-30T08:22:25.347Z","updated_at":"2021-09-30T08:22:25.347Z"},{"id":291,"pubmed_id":22110040,"title":"ELM--the database of eukaryotic linear motifs.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1064","authors":"Dinkel H. et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1064","created_at":"2021-09-30T08:22:51.330Z","updated_at":"2021-09-30T11:28:44.825Z"},{"id":1274,"pubmed_id":26615199,"title":"ELM 2016--data update and new functionality of the eukaryotic linear motif resource.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1291","authors":"Dinkel H,Van Roey K,Michael S,Kumar M,Uyar B,Altenberg B,Milchevskaya V,Schneider M,Kuhn H,Behrendt A,Dahl SL,Damerell V,Diebel S,Kalman S,Klein S,Knudsen AC,Mader C,Merrill S,Staudt A,Thiel V,Welti L,Davey NE,Diella F,Gibson TJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1291","created_at":"2021-09-30T08:24:42.247Z","updated_at":"2021-09-30T11:29:04.976Z"}],"licence_links":[{"licence_name":"ELM Academic License Agreement","licence_id":265,"licence_url":"http://elm.eu.org/media/Elm_academic_license.pdf","link_id":963,"relation":"undefined"}],"grants":[{"id":118,"fairsharing_record_id":1578,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:19.082Z","updated_at":"2021-09-30T09:29:37.387Z","grant_id":330,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"242129","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":114,"fairsharing_record_id":1578,"organisation_id":2994,"relation":"maintains","created_at":"2021-09-30T09:24:18.971Z","updated_at":"2021-09-30T09:24:18.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2994,"name":"Universitetet i Bergen","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":115,"fairsharing_record_id":1578,"organisation_id":403,"relation":"funds","created_at":"2021-09-30T09:24:19.004Z","updated_at":"2021-09-30T09:24:19.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":117,"fairsharing_record_id":1578,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:19.052Z","updated_at":"2021-09-30T09:24:19.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9216,"fairsharing_record_id":1578,"organisation_id":933,"relation":"funds","created_at":"2022-04-11T12:07:22.971Z","updated_at":"2022-04-11T12:07:22.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":933,"name":"European FP7 EMBRACE project","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1587","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:32.999Z","metadata":{"doi":"10.25504/FAIRsharing.hg2xzw","name":"GABI-Kat SimpleSearch","status":"deprecated","contacts":[{"contact_name":"Bernd Weisshaar","contact_email":"bernd.weisshaar@uni-bielefeld.de","contact_orcid":"0000-0002-7635-3473"}],"homepage":"http://www.gabi-kat.de/","identifier":1587,"description":"T-DNA insertions in Arabidopsis and their flanking sequence tags.","abbreviation":"GABI-Kat","data_curation":{"type":"not found"},"support_links":[{"url":"info@gabi-kat.de","type":"Support email"},{"url":"https://www.gabi-kat.de/faq.html","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available as mentioned on the homepage: 'The GABI-Kat confirmation service closed 2019-12-31.'","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000042","bsg-d000042"],"name":"FAIRsharing record for: GABI-Kat SimpleSearch","abbreviation":"GABI-Kat","url":"https://fairsharing.org/10.25504/FAIRsharing.hg2xzw","doi":"10.25504/FAIRsharing.hg2xzw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: T-DNA insertions in Arabidopsis and their flanking sequence tags.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12579}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome annotation","Classification","T-DNA insert exposure","Primer","Flanking region","Sequence tag","Insertion"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":["Flanking Sequence Tags (FST)","Insertion allele"],"countries":["Germany"],"publications":[{"id":74,"pubmed_id":18758448,"title":"T-DNA-mediated transfer of Agrobacterium tumefaciens chromosomal DNA into plants.","year":2008,"url":"http://doi.org/10.1038/nbt.1491","authors":"Ulker B., Li Y., Rosso MG., Logemann E., Somssich IE., Weisshaar B.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt.1491","created_at":"2021-09-30T08:22:28.147Z","updated_at":"2021-09-30T08:22:28.147Z"},{"id":75,"pubmed_id":17062622,"title":"GABI-Kat SimpleSearch: an Arabidopsis thaliana T-DNA mutant database with detailed information for confirmed insertions.","year":2006,"url":"http://doi.org/10.1093/nar/gkl753","authors":"Li Y., Rosso MG., Viehoever P., Weisshaar B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl753","created_at":"2021-09-30T08:22:28.238Z","updated_at":"2021-09-30T08:22:28.238Z"},{"id":76,"pubmed_id":14756321,"title":"An Arabidopsis thaliana T-DNA mutagenized population (GABI-Kat) for flanking sequence tag-based reverse genetics.","year":2004,"url":"http://doi.org/10.1023/B:PLAN.0000009297.37235.4a","authors":"Rosso MG., Li Y., Strizhov N., Reiss B., Dekker K., Weisshaar B.,","journal":"Plant Mol. Biol.","doi":"10.1023/B:PLAN.0000009297.37235.4a","created_at":"2021-09-30T08:22:28.380Z","updated_at":"2021-09-30T08:22:28.380Z"},{"id":78,"pubmed_id":16488113,"title":"Analysis of T-DNA insertion site distribution patterns in Arabidopsis thaliana reveals special features of genes without insertions.","year":2006,"url":"http://doi.org/10.1016/j.ygeno.2005.12.010","authors":"Li Y., Rosso MG., Ulker B., Weisshaar B.,","journal":"Genomics","doi":"10.1016/j.ygeno.2005.12.010","created_at":"2021-09-30T08:22:28.554Z","updated_at":"2021-09-30T08:22:28.554Z"},{"id":79,"pubmed_id":14682050,"title":"High-throughput generation of sequence indexes from T-DNA mutagenized Arabidopsis thaliana lines.","year":2003,"url":"http://doi.org/10.2144/03356st01","authors":"Strizhov N., Li Y., Rosso MG., Viehoever P., Dekker KA., Weisshaar B.,","journal":"BioTechniques","doi":"10.2144/03356st01","created_at":"2021-09-30T08:22:28.638Z","updated_at":"2021-09-30T08:22:28.638Z"},{"id":80,"pubmed_id":12874060,"title":"GABI-Kat SimpleSearch: a flanking sequence tag (FST) database for the identification of T-DNA insertion mutants in Arabidopsis thaliana.","year":2003,"url":"http://doi.org/10.1093/bioinformatics/btg170","authors":"Li Y., Rosso MG., Strizhov N., Viehoever P., Weisshaar B.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btg170","created_at":"2021-09-30T08:22:28.721Z","updated_at":"2021-09-30T08:22:28.721Z"},{"id":1451,"pubmed_id":22080561,"title":"GABI-Kat SimpleSearch: new features of the Arabidopsis thaliana T-DNA mutant database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1047","authors":"Kleinboelting N,Huep G,Kloetgen A,Viehoever P,Weisshaar B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1047","created_at":"2021-09-30T08:25:02.190Z","updated_at":"2021-09-30T11:29:08.693Z"}],"licence_links":[],"grants":[{"id":147,"fairsharing_record_id":1587,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:24:20.343Z","updated_at":"2021-09-30T09:31:35.443Z","grant_id":1238,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"Förderkennzeichen 0313855","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1761","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:41:07.181Z","metadata":{"doi":"10.25504/FAIRsharing.efwq12","name":"UK Stem Cell Bank","status":"ready","contacts":[{"contact_name":"Lyn Healy","contact_email":"lhealy@nibsc.ac.uk"}],"homepage":"https://www.nibsc.org/ukstemcellbank","identifier":1761,"description":"The UK Stem Cell Bank (UKSCB) facilitates the use and sharing of quality-controlled stem cell lines to support scientific research and clinical development of stem cell therapies. The work of the UK Stem Cell Bank covers three main areas: banking for all UK-derived human embryonic stem cell lines, research in the standardisation, quality and safety of human pluripotent stem cell (hPSC)-based products, and regulation regarding international best practice, policies and guidelines relating to stem cell use and regulation around the world.","abbreviation":"UKSCB","data_curation":{"type":"not found"},"support_links":[{"url":"enquiries@ukstemcellbank.org.uk","name":"General Enquiries","type":"Support email"},{"url":"http://www.nibsc.org/science_and_research/advanced_therapies/uk_stem_cell_bank/policies_guidelines_and_due_diligence.aspx","name":"Policies, Guidelines and Due Diligence","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","data_access_condition":{"url":"https://www.nibsc.org/science_and_research/advanced_therapies/uk_stem_cell_bank/apply_for_cell_lines.aspx","type":"controlled","notes":"Application forms must be sent to the UK Steering Committee."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.nibsc.org/science_and_research/advanced_therapies/uk_stem_cell_bank/application_forms.aspx","type":"controlled","notes":"Several deposition procedures are described depending on the type of stem cell lines."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000219","bsg-d000219"],"name":"FAIRsharing record for: UK Stem Cell Bank","abbreviation":"UKSCB","url":"https://fairsharing.org/10.25504/FAIRsharing.efwq12","doi":"10.25504/FAIRsharing.efwq12","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Stem Cell Bank (UKSCB) facilitates the use and sharing of quality-controlled stem cell lines to support scientific research and clinical development of stem cell therapies. The work of the UK Stem Cell Bank covers three main areas: banking for all UK-derived human embryonic stem cell lines, research in the standardisation, quality and safety of human pluripotent stem cell (hPSC)-based products, and regulation regarding international best practice, policies and guidelines relating to stem cell use and regulation around the world.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12625}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Preclinical Studies"],"domains":["Stem cell","Study design"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":441,"pubmed_id":16290151,"title":"The UK Stem Cell Bank: its role as a public research resource centre providing access to well-characterised seed stocks of human stem cell lines.","year":2005,"url":"http://doi.org/10.1016/j.addr.2005.07.019","authors":"Healy L., Hunt C., Young L., Stacey G.,","journal":"Adv. Drug Deliv. Rev.","doi":"10.1016/j.addr.2005.07.019","created_at":"2021-09-30T08:23:07.883Z","updated_at":"2021-09-30T08:23:07.883Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2331,"relation":"undefined"}],"grants":[{"id":688,"fairsharing_record_id":1761,"organisation_id":2001,"relation":"maintains","created_at":"2021-09-30T09:24:40.431Z","updated_at":"2021-09-30T09:24:40.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":2001,"name":"National Institute for Biological Standards and Control (NIBSC), Potters Bar, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":689,"fairsharing_record_id":1761,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:40.455Z","updated_at":"2021-09-30T09:24:40.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1762","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T15:21:38.173Z","metadata":{"doi":"10.25504/FAIRsharing.rwd4wq","name":"cis-Regulatory Element Database","status":"deprecated","contacts":[{"contact_name":"General enquiries","contact_email":"cisred@bcgsc.ca"}],"homepage":"http://www.cisred.org/","citations":[],"identifier":1762,"description":"The cisRED database holds conserved sequence motifs identified by genome scale motif discovery, similarity, clustering, co-occurrence and coexpression calculations. Sequence inputs include low-coverage genome sequence data and ENCODE data.","abbreviation":"cisRED","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cisred.org/content/methods/help/","type":"Help documentation"},{"url":"http://www.cisred.org/content/databases_methods/schema/","type":"Help documentation"},{"url":"http://www.cisred.org/content/databases_methods/method/","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010619","name":"re3data:r3d100010619","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002098","name":"SciCrunch:RRID:SCR_002098","portal":"SciCrunch"}],"deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000220","bsg-d000220"],"name":"FAIRsharing record for: cis-Regulatory Element Database","abbreviation":"cisRED","url":"https://fairsharing.org/10.25504/FAIRsharing.rwd4wq","doi":"10.25504/FAIRsharing.rwd4wq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The cisRED database holds conserved sequence motifs identified by genome scale motif discovery, similarity, clustering, co-occurrence and coexpression calculations. Sequence inputs include low-coverage genome sequence data and ENCODE data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Biological regulation","Genome"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":296,"pubmed_id":16381958,"title":"cisRED: a database system for genome-scale computational discovery of regulatory elements.","year":2005,"url":"http://doi.org/10.1093/nar/gkj075","authors":"Robertson G., Bilenky M., Lin K., He A., Yuen W., Dagpinar M., Varhol R., Teague K., Griffith OL., Zhang X., Pan Y., Hassel M., Sleumer MC., Pan W., Pleasance ED., Chuang M., Hao H., Li YY., Robertson N., Fjell C., Li B., Montgomery SB., Astakhova T., Zhou J., Sander J., Siddiqui AS., Jones SJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj075","created_at":"2021-09-30T08:22:51.907Z","updated_at":"2021-09-30T08:22:51.907Z"}],"licence_links":[],"grants":[{"id":691,"fairsharing_record_id":1762,"organisation_id":1111,"relation":"funds","created_at":"2021-09-30T09:24:40.504Z","updated_at":"2021-09-30T09:24:40.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":690,"fairsharing_record_id":1762,"organisation_id":186,"relation":"funds","created_at":"2021-09-30T09:24:40.480Z","updated_at":"2021-09-30T09:24:40.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":186,"name":"BC Cancer Foundation, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":692,"fairsharing_record_id":1762,"organisation_id":1829,"relation":"funds","created_at":"2021-09-30T09:24:40.545Z","updated_at":"2021-09-30T09:24:40.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":1829,"name":"Michael Smith Foundation for Health Research, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":693,"fairsharing_record_id":1762,"organisation_id":185,"relation":"maintains","created_at":"2021-09-30T09:24:40.583Z","updated_at":"2021-09-30T09:24:40.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":185,"name":"BC Cancer Agency, Canada","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1763","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:25.205Z","metadata":{"doi":"10.25504/FAIRsharing.gk7nfn","name":"Beijing Genomics Institute Rice Information System","status":"deprecated","contacts":[{"contact_name":"Jun Wang","contact_email":"wangj@genomics.org.cn"}],"homepage":"http://rise.genomics.org.cn/","identifier":1763,"description":"In BGI-RIS, sequence contigs of Beijing indica and Syngenta japonica have been further assembled and anchored onto the rice chromosomes. The database has annotated the rice genomes for gene content, repetitive elements, and SNPs. Sequence polymorphisms between different rice subspecies have also been identified.","abbreviation":"BGI-RIS","data_curation":{"type":"not found"},"support_links":[{"url":"rise@genomics.org.cn","type":"Support email"},{"url":"http://rice.genomics.org.cn/rice/doc/help/help.jsp","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://rice.genomics.org.cn/rice2/jsp/blast/blast.jsp","name":"BLAST"},{"url":"http://rice.genomics.org.cn/rice/link/ts.jsp","name":"analyze"},{"url":"http://rice.genomics.org.cn/rice/link/mv.jsp","name":"visualize"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000221","bsg-d000221"],"name":"FAIRsharing record for: Beijing Genomics Institute Rice Information System","abbreviation":"BGI-RIS","url":"https://fairsharing.org/10.25504/FAIRsharing.gk7nfn","doi":"10.25504/FAIRsharing.gk7nfn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In BGI-RIS, sequence contigs of Beijing indica and Syngenta japonica have been further assembled and anchored onto the rice chromosomes. The database has annotated the rice genomes for gene content, repetitive elements, and SNPs. Sequence polymorphisms between different rice subspecies have also been identified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Biological regulation","Single nucleotide polymorphism"],"taxonomies":["Oryza sativa L. ssp. Indica","Oryza sativa L. ssp. japonica"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":290,"pubmed_id":14681438,"title":"BGI-RIS: an integrated information resource and comparative analysis workbench for rice genomics.","year":2003,"url":"http://doi.org/10.1093/nar/gkh085","authors":"Zhao W., Wang J., He X., Huang X., Jiao Y., Dai M., Wei S., Fu J., Chen Y., Ren X., Zhang Y., Ni P., Zhang J., Li S., Wang J., Wong GK., Zhao H., Yu J., Yang H., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh085","created_at":"2021-09-30T08:22:51.232Z","updated_at":"2021-09-30T08:22:51.232Z"}],"licence_links":[],"grants":[{"id":694,"fairsharing_record_id":1763,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.628Z","updated_at":"2021-09-30T09:24:40.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":695,"fairsharing_record_id":1763,"organisation_id":510,"relation":"funds","created_at":"2021-09-30T09:24:40.670Z","updated_at":"2021-09-30T09:24:40.670Z","grant_id":null,"is_lead":false,"saved_state":{"id":510,"name":"China National Grid Project, Beijing, China","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1764","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:57:35.254Z","metadata":{"doi":"10.25504/FAIRsharing.d4q4g2","name":"Chicken Variation Database","status":"deprecated","contacts":[{"contact_name":"General enquiries","contact_email":"ChickVD@genomics.org.cn"}],"homepage":"http://chicken.genomics.org.cn","identifier":1764,"description":"The chicken Variation Database (ChickVD) is an integrated information system for storage, retrieval, visualization and analysis of chicken variation data.","abbreviation":"ChickVD","data_curation":{"type":"not found"},"support_links":[{"url":"http://chicken.genomics.org.cn/chicken/jsp/help.jsp","type":"Help documentation"},{"url":"http://chicken.genomics.org.cn/chicken/jsp/chickvd.format.readme.txt","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://chicken.genomics.org.cn/chicken/jsp/search.jsp","name":"search"},{"url":"http://chicken.genomics.org.cn/chicken/jsp/search.jsp","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by the China National GeneBank DataBase and this particular data can now be found at https://db.cngb.org/search/project/CNPhis0000539","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000222","bsg-d000222"],"name":"FAIRsharing record for: Chicken Variation Database","abbreviation":"ChickVD","url":"https://fairsharing.org/10.25504/FAIRsharing.d4q4g2","doi":"10.25504/FAIRsharing.d4q4g2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The chicken Variation Database (ChickVD) is an integrated information system for storage, retrieval, visualization and analysis of chicken variation data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism","Genome"],"taxonomies":["Gallus gallus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":284,"pubmed_id":15608233,"title":"ChickVD: a sequence variation database for the chicken genome.","year":2004,"url":"http://doi.org/10.1093/nar/gki092","authors":"Wang J., He X., Ruan J., Dai M., Chen J., Zhang Y., Hu Y., Ye C., Li S., Cong L., Fang L., Liu B., Li S., Wang J., Burt DW., Wong GK., Yu J., Yang H., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki092","created_at":"2021-09-30T08:22:50.624Z","updated_at":"2021-09-30T08:22:50.624Z"}],"licence_links":[],"grants":[{"id":697,"fairsharing_record_id":1764,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.787Z","updated_at":"2021-09-30T09:24:40.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":696,"fairsharing_record_id":1764,"organisation_id":510,"relation":"funds","created_at":"2021-09-30T09:24:40.708Z","updated_at":"2021-09-30T09:31:25.335Z","grant_id":1162,"is_lead":false,"saved_state":{"id":510,"name":"China National Grid Project, Beijing, China","grant":"2002AA104250","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1765","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:20:05.147Z","metadata":{"doi":"10.25504/FAIRsharing.nmavtd","name":"Influenza Virus Database","status":"deprecated","contacts":[{"contact_name":"Wang Jing","contact_email":"wangjing@genomics.org.cn"}],"homepage":"http://influenza.psych.ac.cn/","identifier":1765,"description":"IVDB hosts complete genome sequences of influenza A virus generated by BGI and curates all other published influenza virus sequences after expert annotations. IVDB provides a series of tools and viewers for analyzing the viral genomes, genes, genetic polymorphisms and phylogenetic relationships comparatively.","abbreviation":"IVDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://influenza.psych.ac.cn/help/Help.jsp","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://influenza.psych.ac.cn/tools/blast/blastall.jsp","name":"BLAST"},{"url":"http://influenza.psych.ac.cn/tools/Tools.jsp","name":"analyze"}],"deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000223","bsg-d000223"],"name":"FAIRsharing record for: Influenza Virus Database","abbreviation":"IVDB","url":"https://fairsharing.org/10.25504/FAIRsharing.nmavtd","doi":"10.25504/FAIRsharing.nmavtd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IVDB hosts complete genome sequences of influenza A virus generated by BGI and curates all other published influenza virus sequences after expert annotations. IVDB provides a series of tools and viewers for analyzing the viral genomes, genes, genetic polymorphisms and phylogenetic relationships comparatively.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Gene","Genome"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1585,"pubmed_id":17065465,"title":"Influenza Virus Database (IVDB): an integrated information resource and analysis platform for influenza virus research.","year":2006,"url":"http://doi.org/10.1093/nar/gkl779","authors":"Chang S,Zhang J,Liao X,Zhu X,Wang D,Zhu J,Feng T,Zhu B,Gao GF,Wang J,Yang H,Yu J,Wang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl779","created_at":"2021-09-30T08:25:17.658Z","updated_at":"2021-09-30T11:29:14.803Z"}],"licence_links":[],"grants":[{"id":698,"fairsharing_record_id":1765,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.825Z","updated_at":"2021-09-30T09:24:40.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":699,"fairsharing_record_id":1765,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:40.862Z","updated_at":"2021-09-30T09:28:55.267Z","grant_id":16,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2005CB523001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1782","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:24:01.440Z","metadata":{"doi":"10.25504/FAIRsharing.mcrd3t","name":"Human-Transcriptome Database for Alternative Splicing","status":"deprecated","contacts":[{"contact_email":"hinvdb@ml.u-tokai.ac.jp"}],"homepage":"http://h-invitational.jp/h-dbas/","identifier":1782,"description":"H-DBAS offers unique data and viewer for human Alternative Splicing (AS) analysis including genome-wide representative alternative splicing variants (RASVs), RASVs affecting protein functions, conserved RASVs compared with mouse genome (full length cDNAs).","abbreviation":"H-DBAS","data_curation":{"type":"not found"},"support_links":[{"url":"http://jbirc.jbic.or.jp/h-dbas/document/H-DBAS_manual.pdf","type":"Help documentation"},{"url":"http://www.youtube.com/watch?v=IbXHqZD776Y","type":"Video"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2015-09-01","deprecation_reason":"This database is no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000241","bsg-d000241"],"name":"FAIRsharing record for: Human-Transcriptome Database for Alternative Splicing","abbreviation":"H-DBAS","url":"https://fairsharing.org/10.25504/FAIRsharing.mcrd3t","doi":"10.25504/FAIRsharing.mcrd3t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: H-DBAS offers unique data and viewer for human Alternative Splicing (AS) analysis including genome-wide representative alternative splicing variants (RASVs), RASVs affecting protein functions, conserved RASVs compared with mouse genome (full length cDNAs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","Germany","Japan"],"publications":[{"id":311,"pubmed_id":17130147,"title":"H-DBAS: alternative splicing database of completely sequenced and manually annotated full-length cDNAs based on H-Invitational.","year":2006,"url":"http://doi.org/10.1093/nar/gkl854","authors":"Takeda J., Suzuki Y., Nakao M., Kuroda T., Sugano S., Gojobori T., Imanishi T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl854","created_at":"2021-09-30T08:22:53.399Z","updated_at":"2021-09-30T08:22:53.399Z"},{"id":312,"pubmed_id":19969536,"title":"H-DBAS: human-transcriptome database for alternative splicing: update 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp984","authors":"Takeda J., Suzuki Y., Sakate R., Sato Y., Gojobori T., Imanishi T., Sugano S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp984","created_at":"2021-09-30T08:22:53.490Z","updated_at":"2021-09-30T08:22:53.490Z"}],"licence_links":[],"grants":[{"id":749,"fairsharing_record_id":1782,"organisation_id":1889,"relation":"funds","created_at":"2021-09-30T09:24:42.631Z","updated_at":"2021-09-30T09:24:42.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":1889,"name":"Molecular Profiling Research Centre for Drug Discovery (molprof), Tokyo, Japan","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":748,"fairsharing_record_id":1782,"organisation_id":266,"relation":"maintains","created_at":"2021-09-30T09:24:42.547Z","updated_at":"2021-09-30T09:24:42.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":266,"name":"Biomedical Informatics Laboratory, Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":750,"fairsharing_record_id":1782,"organisation_id":2007,"relation":"maintains","created_at":"2021-09-30T09:24:42.668Z","updated_at":"2021-09-30T09:24:42.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1783","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:55.886Z","metadata":{"doi":"10.25504/FAIRsharing.k6vsdr","name":"Database of MHC Ligands and Peptide Motifs","status":"ready","contacts":[{"contact_name":"Stefan Stevanovic","contact_email":"stefan.stevanovic@uni-tuebingen.de"}],"homepage":"http://www.syfpeithi.de/","identifier":1783,"description":"SYFPEITHI is a database comprising more than 7000 peptide sequences known to bind class I and class II MHC molecules.","abbreviation":"SYFPEITHI","data_curation":{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm#scores","type":"automated"},"support_links":[{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","data_access_condition":{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm","type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm#Submitting%20new%20MHC%20Motifs,%20ligands%20and%20T-cell","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000243","bsg-d000243"],"name":"FAIRsharing record for: Database of MHC Ligands and Peptide Motifs","abbreviation":"SYFPEITHI","url":"https://fairsharing.org/10.25504/FAIRsharing.k6vsdr","doi":"10.25504/FAIRsharing.k6vsdr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SYFPEITHI is a database comprising more than 7000 peptide sequences known to bind class I and class II MHC molecules.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Small molecule","Major histocompatibility complex","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":318,"pubmed_id":10602881,"title":"SYFPEITHI: database for MHC ligands and peptide motifs.","year":1999,"url":"http://doi.org/10.1007/s002510050595","authors":"Rammensee H., Bachmann J., Emmerich NP., Bachor OA., Stevanović S.,","journal":"Immunogenetics","doi":"10.1007/s002510050595","created_at":"2021-09-30T08:22:54.107Z","updated_at":"2021-09-30T08:22:54.107Z"}],"licence_links":[],"grants":[{"id":751,"fairsharing_record_id":1783,"organisation_id":3134,"relation":"maintains","created_at":"2021-09-30T09:24:42.700Z","updated_at":"2021-09-30T09:24:42.700Z","grant_id":null,"is_lead":false,"saved_state":{"id":3134,"name":"University of Tbingen, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":752,"fairsharing_record_id":1783,"organisation_id":723,"relation":"maintains","created_at":"2021-09-30T09:24:42.724Z","updated_at":"2021-09-30T09:24:42.724Z","grant_id":null,"is_lead":false,"saved_state":{"id":723,"name":"Department of Medical Informatics, Institute of Medical Biometry und Informatics, Heidelberg University, Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1784","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:22:27.304Z","metadata":{"doi":"10.25504/FAIRsharing.4zw0d9","name":"Cnidarian Evolutionary Genomics Database","status":"deprecated","contacts":[{"contact_name":"J Fryan","contact_email":"jfryan@bu.edu"}],"homepage":"http://cnidbase.com/index.cgi","identifier":1784,"description":"CnidBase, the Cnidarian Evolutionary Genomics Database, is a tool for investigating the evolutionary, developmental and ecological factors that affect gene expression and gene function in cnidarians.","abbreviation":"CnidBase","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://cnidbase.com/blast/","name":"BLAST"}],"deprecation_date":"2021-9-19","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000244","bsg-d000244"],"name":"FAIRsharing record for: Cnidarian Evolutionary Genomics Database","abbreviation":"CnidBase","url":"https://fairsharing.org/10.25504/FAIRsharing.4zw0d9","doi":"10.25504/FAIRsharing.4zw0d9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CnidBase, the Cnidarian Evolutionary Genomics Database, is a tool for investigating the evolutionary, developmental and ecological factors that affect gene expression and gene function in cnidarians.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Evolutionary Biology","Life Science"],"domains":["Sequence similarity","Expression data","DNA sequence data","Evolution","Gene","Amino acid sequence","Genome"],"taxonomies":["Cnidaria"],"user_defined_tags":["Evolutionary relationship between proteins via sequence similarity"],"countries":["United States"],"publications":[{"id":799,"pubmed_id":12519972,"title":"CnidBase: The Cnidarian Evolutionary Genomics Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg116","authors":"Ryan JF., Finnerty JR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg116","created_at":"2021-09-30T08:23:48.095Z","updated_at":"2021-09-30T08:23:48.095Z"}],"licence_links":[],"grants":[{"id":753,"fairsharing_record_id":1784,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:24:42.750Z","updated_at":"2021-09-30T09:24:42.750Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1785","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:11:26.811Z","metadata":{"doi":"10.25504/FAIRsharing.72qwj0","name":"StellaBase","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"cnidteam@gmail.com"}],"homepage":"http://stellabase.org","identifier":1785,"description":"StellaBase is the Nematostella vectensis genomics database.","abbreviation":"StellaBase","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://nematostella.bu.edu/stellabase/blast/blast_cs.html","name":"BLAST"}],"deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000245","bsg-d000245"],"name":"FAIRsharing record for: StellaBase","abbreviation":"StellaBase","url":"https://fairsharing.org/10.25504/FAIRsharing.72qwj0","doi":"10.25504/FAIRsharing.72qwj0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: StellaBase is the Nematostella vectensis genomics database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Expression data","DNA sequence data","Gene","Genome"],"taxonomies":["Nematostella vectensis"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":836,"pubmed_id":16381919,"title":"StellaBase: the Nematostella vectensis Genomics Database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj020","authors":"Sullivan JC., Ryan JF., Watson JA., Webb J., Mullikin JC., Rokhsar D., Finnerty JR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj020","created_at":"2021-09-30T08:23:52.271Z","updated_at":"2021-09-30T08:23:52.271Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":229,"relation":"undefined"}],"grants":[{"id":755,"fairsharing_record_id":1785,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:42.813Z","updated_at":"2021-09-30T09:32:26.379Z","grant_id":1620,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IBN-0212773","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":754,"fairsharing_record_id":1785,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:24:42.777Z","updated_at":"2021-09-30T09:24:42.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1786","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-08T11:04:07.183Z","metadata":{"doi":"10.25504/FAIRsharing.9fz3g3","name":"Tandem Repeats Database","status":"deprecated","contacts":[{"contact_name":"Gary Benson","contact_email":"gbenson@bu.edu"}],"homepage":"http://tandem.bu.edu/cgi-bin/trdb/trdb.exe","citations":[],"identifier":1786,"description":"Tandem Repeats Database (TRDB) is a public repository of information on tandem repeats in genomic DNA and contains a variety of tools for their analysis.","abbreviation":"TRDB","data_curation":{"type":"not found"},"support_links":[{"url":"ygelfand@bu.edu","type":"Support email"},{"url":"http://tandem.bu.edu/cgi-bin/trdb/trdb.exe?taskid=13","type":"Frequently Asked Questions (FAQs)"},{"url":"http://tandem.bu.edu/cgi-bin/trdb/trdb.exe?taskid=30","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","deprecation_date":"2024-07-08","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000246","bsg-d000246"],"name":"FAIRsharing record for: Tandem Repeats Database","abbreviation":"TRDB","url":"https://fairsharing.org/10.25504/FAIRsharing.9fz3g3","doi":"10.25504/FAIRsharing.9fz3g3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Tandem Repeats Database (TRDB) is a public repository of information on tandem repeats in genomic DNA and contains a variety of tools for their analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Tandem repeat"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":261,"pubmed_id":17175540,"title":"TRDB--the Tandem Repeats Database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1013","authors":"Gelfand Y., Rodriguez A., Benson G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1013","created_at":"2021-09-30T08:22:48.191Z","updated_at":"2021-09-30T08:22:48.191Z"}],"licence_links":[{"licence_name":"TRDB Login required for access","licence_id":792,"licence_url":"https://tandem.bu.edu/cgi-bin/trdb/trdb.exe","link_id":263,"relation":"undefined"}],"grants":[{"id":757,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:42.889Z","updated_at":"2021-09-30T09:29:17.969Z","grant_id":184,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0413462","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8328,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:06.618Z","updated_at":"2021-09-30T09:32:06.666Z","grant_id":1473,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0090789","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8443,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:39.793Z","updated_at":"2021-09-30T09:32:39.847Z","grant_id":1723,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"CCR-0073081","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":756,"fairsharing_record_id":1786,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:24:42.852Z","updated_at":"2021-09-30T09:24:42.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8314,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:02.116Z","updated_at":"2021-09-30T09:32:02.162Z","grant_id":1438,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IIS-0612153","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1787","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:08.796Z","metadata":{"doi":"10.25504/FAIRsharing.bgm0mm","name":"Database of Liver Expression Profile","status":"deprecated","contacts":[{"contact_email":"zhuyp@hupo.org.cn"}],"homepage":"http://dblep.hupo.org.cn","citations":[],"identifier":1787,"description":"With the rapid progress of the HLPP (Human Liver Proteome Project), a massive quantity of liver proteome expression profile data has been generated. To manage the valuable resource effectively and present it for researchers, a web-based database of liver proteome expression profile named dbLEP has been developed. Currently dbLEP holds two datasets of human fetal liver and HLPP French liver with approximately 17247 proteins and 36990 peptides. Other datasets, such as HLPP Chinese liver and subcellula, C57 mouse liver subcellula will be online soon. Both non-redundant proteins and all possible proteins are presented so that users could understand each dataset comprehensively. Besides the complete identification, dbLEP provides related information like mass spectrums for users to verify the confidence.","abbreviation":"dbLEP","data_curation":{"type":"not found"},"support_links":[{"url":"http://hlpic.hupo.org.cn/dblep/faq.jsf","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.oxfordjournals.org/our_journals/nar/database/summary/1170","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-12-06","deprecation_reason":"This homepage for this resource is no longer valid, and an updated homepage cannot be found. Please let us know if you have any information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000247","bsg-d000247"],"name":"FAIRsharing record for: Database of Liver Expression Profile","abbreviation":"dbLEP","url":"https://fairsharing.org/10.25504/FAIRsharing.bgm0mm","doi":"10.25504/FAIRsharing.bgm0mm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: With the rapid progress of the HLPP (Human Liver Proteome Project), a massive quantity of liver proteome expression profile data has been generated. To manage the valuable resource effectively and present it for researchers, a web-based database of liver proteome expression profile named dbLEP has been developed. Currently dbLEP holds two datasets of human fetal liver and HLPP French liver with approximately 17247 proteins and 36990 peptides. Other datasets, such as HLPP Chinese liver and subcellula, C57 mouse liver subcellula will be online soon. Both non-redundant proteins and all possible proteins are presented so that users could understand each dataset comprehensively. Besides the complete identification, dbLEP provides related information like mass spectrums for users to verify the confidence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Biomedical Science"],"domains":["Mass spectrum","Protein expression profiling","Protein","Liver"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":760,"fairsharing_record_id":1787,"organisation_id":193,"relation":"maintains","created_at":"2021-09-30T09:24:43.031Z","updated_at":"2021-09-30T09:24:43.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":193,"name":"Beijing Proteome Research Centre, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":758,"fairsharing_record_id":1787,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:42.931Z","updated_at":"2021-09-30T09:30:36.991Z","grant_id":791,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2006CB910803","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":761,"fairsharing_record_id":1787,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:43.072Z","updated_at":"2021-09-30T09:30:46.030Z","grant_id":859,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30621063","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":759,"fairsharing_record_id":1787,"organisation_id":192,"relation":"funds","created_at":"2021-09-30T09:24:42.989Z","updated_at":"2021-09-30T09:31:34.041Z","grant_id":1228,"is_lead":false,"saved_state":{"id":192,"name":"Beijing Municipal Science \u0026 Technology Commission, (BMSTC), China","grant":"H030230280590","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1777","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:01.521Z","metadata":{"doi":"10.25504/FAIRsharing.pep8cs","name":"Ciona intestinalis Protein Database","status":"deprecated","contacts":[{"contact_name":"Toshinori Endo","contact_email":"endo@ibio.jp"}],"homepage":"http://cipro.ibio.jp/current/","identifier":1777,"description":"CIPRO is an integrated protein that has been developed to provide widespread information of the proteins expressed in the ascidian Ciona intestinalis, especially for the researcher who wants to get advance and useful information for starting biological and biomedical research. The protein information in CIPRO directly links to gene expression, a tool for peptide mass fingerprinting (PMF), intracellular localization, 3D image of early development, and transgenic resources.","abbreviation":"CIPRO","data_curation":{"type":"not found"},"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://cipro.ibio.jp/2.0/#SEARCH","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000236","bsg-d000236"],"name":"FAIRsharing record for: Ciona intestinalis Protein Database","abbreviation":"CIPRO","url":"https://fairsharing.org/10.25504/FAIRsharing.pep8cs","doi":"10.25504/FAIRsharing.pep8cs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CIPRO is an integrated protein that has been developed to provide widespread information of the proteins expressed in the ascidian Ciona intestinalis, especially for the researcher who wants to get advance and useful information for starting biological and biomedical research. The protein information in CIPRO directly links to gene expression, a tool for peptide mass fingerprinting (PMF), intracellular localization, 3D image of early development, and transgenic resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Ciona intestinalis"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":309,"pubmed_id":21071393,"title":"CIPRO 2.5: Ciona intestinalis protein database, a unique integrated repository of large-scale omics data, bioinformatic analyses and curated annotation, with user rating and reviewing functionality.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1144","authors":"Endo T., Ueno K., Yonezawa K., Mineta K., Hotta K., Satou Y., Yamada L., Ogasawara M., Takahashi H., Nakajima A., Nakachi M., Nomura M., Yaguchi J., Sasakura Y., Yamasaki C., Sera M., Yoshizawa AC., Imanishi T., Taniguchi H., Inaba K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1144","created_at":"2021-09-30T08:22:53.207Z","updated_at":"2021-09-30T08:22:53.207Z"}],"licence_links":[],"grants":[{"id":732,"fairsharing_record_id":1777,"organisation_id":2561,"relation":"maintains","created_at":"2021-09-30T09:24:41.949Z","updated_at":"2021-09-30T09:24:41.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":2561,"name":"Shimoda Marine Research Center, University of Tsukuba","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":734,"fairsharing_record_id":1777,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:24:42.001Z","updated_at":"2021-09-30T09:24:42.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":733,"fairsharing_record_id":1777,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:24:41.972Z","updated_at":"2021-09-30T09:24:41.972Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":736,"fairsharing_record_id":1777,"organisation_id":1256,"relation":"maintains","created_at":"2021-09-30T09:24:42.079Z","updated_at":"2021-09-30T09:24:42.079Z","grant_id":null,"is_lead":false,"saved_state":{"id":1256,"name":"Hokkaido University, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11524,"fairsharing_record_id":1777,"organisation_id":1378,"relation":"funds","created_at":"2024-03-21T13:58:01.370Z","updated_at":"2024-03-21T13:58:01.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":1378,"name":"Institute for Bioinformatics Research and Development, Japan Science and Technology Agency","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1778","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:04.122Z","metadata":{"doi":"10.25504/FAIRsharing.2c45na","name":"PRODORIC","status":"ready","contacts":[{"contact_name":"Christian-Alexander Dudek","contact_email":"c.dudek@tu-braunschweig.de","contact_orcid":"0000-0001-9117-7909"}],"homepage":"https://www.prodoric.de/","citations":[],"identifier":1778,"description":"PRODORIC is a comprehensive database about gene regulation and gene expression in prokaryotes. It includes a manually curated and unique collection of transcription factor binding sites.","abbreviation":null,"data_curation":{"url":"https://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"manual","notes":"It includes a manually curated and unique collection of transcription factor binding sites."},"support_links":[{"url":"https://www.prodoric.de/about.html","name":"About","type":"Other"},{"url":"https://www.prodoric.de/","type":"Blog/News"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"https://www.prodoric.de/vfp/","name":"Virtual Footprint 3.0"},{"url":"http://www.jcat.de","name":"JCat"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"controlled","notes":"A guide to the INNATEDB submission system"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000237","bsg-d000237"],"name":"FAIRsharing record for: PRODORIC","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2c45na","doi":"10.25504/FAIRsharing.2c45na","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRODORIC is a comprehensive database about gene regulation and gene expression in prokaryotes. It includes a manually curated and unique collection of transcription factor binding sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Biological regulation","Protein","Gene"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":308,"pubmed_id":12519998,"title":"PRODORIC: prokaryotic database of gene regulation.","year":2003,"url":"http://doi.org/10.1093/nar/gkg037","authors":"Münch R., Hiller K., Barg H., Heldt D., Linz S., Wingender E., Jahn D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg037","created_at":"2021-09-30T08:22:53.116Z","updated_at":"2021-09-30T08:22:53.116Z"},{"id":310,"pubmed_id":18974177,"title":"PRODORIC (release 2009): a database and tool platform for the analysis of gene regulation in prokaryotes.","year":2008,"url":"http://doi.org/10.1093/nar/gkn837","authors":"Grote A., Klein J., Retter I., Haddad I., Behling S., Bunk B., Biegler I., Yarmolinetz S., Jahn D., Münch R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn837","created_at":"2021-09-30T08:22:53.307Z","updated_at":"2021-09-30T08:22:53.307Z"},{"id":3192,"pubmed_id":34850133,"title":"PRODORIC: state-of-the-art database of prokaryotic gene regulation.","year":2022,"url":"https://doi.org/10.1093/nar/gkab1110","authors":"Dudek CA, Jahn D","journal":"Nucleic acids research","doi":"10.1093/nar/gkab1110","created_at":"2022-01-21T10:54:52.138Z","updated_at":"2022-01-21T10:54:52.138Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2575,"relation":"applies_to_content"},{"licence_name":"PRODORIC Terms of Use","licence_id":682,"licence_url":"http://prodoric.tu-bs.de/contact.php","link_id":210,"relation":"undefined"}],"grants":[{"id":738,"fairsharing_record_id":1778,"organisation_id":1990,"relation":"maintains","created_at":"2021-09-30T09:24:42.160Z","updated_at":"2021-09-30T09:24:42.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1990,"name":"National Genome Research Network (NGFN), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":740,"fairsharing_record_id":1778,"organisation_id":670,"relation":"maintains","created_at":"2021-09-30T09:24:42.229Z","updated_at":"2021-09-30T09:24:42.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":670,"name":"Department of Bioinformatics and Biochemistry, Institute for Biochemistry and Biotechnology, Technical University Braunschweig, Braunschweig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9352,"fairsharing_record_id":1778,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.481Z","updated_at":"2022-04-11T12:07:32.499Z","grant_id":430,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0313936C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1779","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:55.224Z","metadata":{"doi":"10.25504/FAIRsharing.9k5mbg","name":"National Microbial Pathogen Data Resource","status":"ready","contacts":[{"contact_name":"Rick Stevens","contact_email":"stevens@cs.uchicago.edu"}],"homepage":"http://www.nmpdr.org","identifier":1779,"description":"The NMPDR provided curated annotations in an environment for comparative analysis of genomes and biological subsystems, with an emphasis on the food-borne pathogens Campylobacter, Listeria, Staphylococcus, Streptococcus, and Vibrio; as well as the STD pathogens Chlamydiaceae, Haemophilus, Mycoplasma, Neisseria, Treponema, and Ureaplasma.","abbreviation":"NMPDR","data_curation":{"url":"https://www.bv-brc.org/about","type":"manual/automated"},"support_links":[{"url":"help@nmpdr.org","type":"Support email"},{"url":"http://www.nmpdr.org/FIG/wiki/view.cgi/Main/FAQS","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.nmpdr.org/FIG/wiki/view.cgi/FIG/WebHome","type":"Help documentation"},{"url":"http://www.nmpdr.org/FIG/wiki/view.cgi/Main/HowToUseNMPDR","type":"Training documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://www.nmpdr.org/FIG/wiki/rest.cgi/NmpdrPlugin/search?Class=BlastSearch","name":"BLAST"}],"data_access_condition":{"url":"https://www.bv-brc.org/docs/quick_references/workspaces/workspace.html#creating-and-sharing-workspaces","type":"controlled","notes":"Data shared only with those that have access to the workspace"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.bv-brc.org/docs/quick_references/workspaces/data_upload.html","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000238","bsg-d000238"],"name":"FAIRsharing record for: National Microbial Pathogen Data Resource","abbreviation":"NMPDR","url":"https://fairsharing.org/10.25504/FAIRsharing.9k5mbg","doi":"10.25504/FAIRsharing.9k5mbg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NMPDR provided curated annotations in an environment for comparative analysis of genomes and biological subsystems, with an emphasis on the food-borne pathogens Campylobacter, Listeria, Staphylococcus, Streptococcus, and Vibrio; as well as the STD pathogens Chlamydiaceae, Haemophilus, Mycoplasma, Neisseria, Treponema, and Ureaplasma.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12626}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Comparative Genomics"],"domains":["Pathogen","Genome"],"taxonomies":["Campylobacter","Chlamydiaceae","Haemophilus","Listeria","Mycoplasma","Neisseria","Staphylococcus","Streptococcus","Treponema","Ureaplasma","Vibrio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1483,"pubmed_id":17145713,"title":"The National Microbial Pathogen Database Resource (NMPDR): a genomics platform based on subsystem annotation.","year":2006,"url":"http://doi.org/10.1093/nar/gkl947","authors":"McNeil LK., Reich C., Aziz RK., Bartels D., Cohoon M., Disz T., Edwards RA., Gerdes S., Hwang K., Kubal M., Margaryan GR., Meyer F., Mihalo W., Olsen GJ., Olson R., Osterman A., Paarmann D., Paczian T., Parrello B., Pusch GD., Rodionov DA., Shi X., Vassieva O., Vonstein V., Zagnitko O., Xia F., Zinner J., Overbeek R., Stevens R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl947","created_at":"2021-09-30T08:25:06.026Z","updated_at":"2021-09-30T08:25:06.026Z"}],"licence_links":[],"grants":[{"id":741,"fairsharing_record_id":1779,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:42.271Z","updated_at":"2021-09-30T09:31:33.826Z","grant_id":1226,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"HHSN266200400042C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":742,"fairsharing_record_id":1779,"organisation_id":251,"relation":"maintains","created_at":"2021-09-30T09:24:42.309Z","updated_at":"2021-09-30T09:24:42.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":251,"name":"Bioinformatics Resource Center, University of Wisconsin Biotechnology Center, Madison, WI, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1780","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-28T18:15:12.515Z","metadata":{"doi":"10.25504/FAIRsharing.n2xy00","name":"siRecords","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"siRecords@biolead.org"}],"homepage":"http://c1.accurascience.com/siRecords/","citations":[],"identifier":1780,"description":"siRecords is a collection of a diverse range of mammalian RNAi experiments . After choosing a gene, researchers can find all siRNA records targeting the gene, design a new siRNA targeting it, or submit siRNAs that have been tested. The resource also helps experimental RNAi researchers by providing them with the efficacy and other information about the siRNAs experiments designed and conducted previously against the genes of their interest. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"siRecords","data_curation":{},"year_creation":2004,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2022-12-28","deprecation_reason":"This resource is no longer active.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000239","bsg-d000239"],"name":"FAIRsharing record for: siRecords","abbreviation":"siRecords","url":"https://fairsharing.org/10.25504/FAIRsharing.n2xy00","doi":"10.25504/FAIRsharing.n2xy00","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: siRecords is a collection of a diverse range of mammalian RNAi experiments . After choosing a gene, researchers can find all siRNA records targeting the gene, design a new siRNA targeting it, or submit siRNAs that have been tested. The resource also helps experimental RNAi researchers by providing them with the efficacy and other information about the siRNAs experiments designed and conducted previously against the genes of their interest. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Ribonucleic acid","Small interfering RNA","Gene"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":320,"pubmed_id":18996894,"title":"siRecords: a database of mammalian RNAi experiments and efficacies.","year":2008,"url":"http://doi.org/10.1093/nar/gkn817","authors":"Ren Y., Gong W., Zhou H., Wang Y., Xiao F., Li T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn817","created_at":"2021-09-30T08:22:54.374Z","updated_at":"2021-09-30T08:22:54.374Z"}],"licence_links":[],"grants":[{"id":744,"fairsharing_record_id":1780,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:24:42.389Z","updated_at":"2021-09-30T09:24:42.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":745,"fairsharing_record_id":1780,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:24:42.426Z","updated_at":"2021-09-30T09:30:52.752Z","grant_id":915,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"4R33CA126209","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8167,"fairsharing_record_id":1780,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:31:18.021Z","updated_at":"2021-09-30T09:31:18.075Z","grant_id":1108,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"1R21CA126209","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1781","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T13:22:37.526Z","metadata":{"doi":"10.25504/FAIRsharing.zjcys8","name":"Structure, Interfaces and Alignments for Protein-Protein Interactions Database","status":"deprecated","contacts":[{"contact_email":"emily@compbio.dundee.ac.uk"}],"homepage":"http://www.compbio.dundee.ac.uk/SNAPPI/index.jsp","citations":[],"identifier":1781,"description":"SNAPPI-DB is an object-oriented database of domain-domain interactions observed in structural data. The structural data is obtained from the MSD data warehouse as the MSD provides consistent data with links to many types of data about proteins and nucleic acids.","abbreviation":"SNAPPI-DB","data_curation":{"url":"http://www.compbio.dundee.ac.uk/SNAPPI/snappidb.jsp","type":"automated"},"support_links":[{"url":"http://www.compbio.dundee.ac.uk/SNAPPI/SNAPPI-DBPackage/ProgramManual/Manual.pdf","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2024-04-17","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"url":"http://www.compbio.dundee.ac.uk/SNAPPI/downloads.jsp","type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000240","bsg-d000240"],"name":"FAIRsharing record for: Structure, Interfaces and Alignments for Protein-Protein Interactions Database","abbreviation":"SNAPPI-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.zjcys8","doi":"10.25504/FAIRsharing.zjcys8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SNAPPI-DB is an object-oriented database of domain-domain interactions observed in structural data. The structural data is obtained from the MSD data warehouse as the MSD provides consistent data with links to many types of data about proteins and nucleic acids.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein interaction","Molecular interaction","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":305,"pubmed_id":17202171,"title":"SNAPPI-DB: a database and API of Structures, iNterfaces and Alignments for Protein-Protein Interactions.","year":2007,"url":"http://doi.org/10.1093/nar/gkl836","authors":"Jefferson ER., Walsh TP., Roberts TJ., Barton GJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl836","created_at":"2021-09-30T08:22:52.841Z","updated_at":"2021-09-30T08:22:52.841Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":213,"relation":"undefined"}],"grants":[{"id":746,"fairsharing_record_id":1781,"organisation_id":3049,"relation":"maintains","created_at":"2021-09-30T09:24:42.472Z","updated_at":"2021-09-30T09:24:42.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":747,"fairsharing_record_id":1781,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:42.509Z","updated_at":"2021-09-30T09:24:42.509Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1792","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:01:39.521Z","metadata":{"doi":"10.25504/FAIRsharing.pxm2h8","name":"MutDB","status":"deprecated","contacts":[{"contact_name":"SD Mooney","contact_email":"smooney@buckinstitute.org"}],"homepage":"http://mutdb.org/","identifier":1792,"description":"The goal of MutDB is to annotate human variation data with protein structural information and other functionally relevant information, if available. The mutations are organized by gene. Click on the alphabet below to go alphabetically through the list of genes. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"MutDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://mutdb.org/snp/help.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000252","bsg-d000252"],"name":"FAIRsharing record for: MutDB","abbreviation":"MutDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pxm2h8","doi":"10.25504/FAIRsharing.pxm2h8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of MutDB is to annotate human variation data with protein structural information and other functionally relevant information, if available. The mutations are organized by gene. Click on the alphabet below to go alphabetically through the list of genes. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Expression data","Mutation analysis","Structure","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":315,"pubmed_id":15980479,"title":"MutDB services: interactive structural analysis of mutation data.","year":2005,"url":"http://doi.org/10.1093/nar/gki404","authors":"Dantzer J., Moad C., Heiland R., Mooney S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki404","created_at":"2021-09-30T08:22:53.792Z","updated_at":"2021-09-30T08:22:53.792Z"},{"id":2411,"pubmed_id":17827212,"title":"MutDB: update on development of tools for the biochemical analysis of genetic variation.","year":2007,"url":"http://doi.org/10.1093/nar/gkm659","authors":"Singh A,Olowoyeye A,Baenziger PH,Dantzer J,Kann MG,Radivojac P,Heiland R,Mooney SD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm659","created_at":"2021-09-30T08:26:55.891Z","updated_at":"2021-09-30T11:29:35.262Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":968,"relation":"undefined"}],"grants":[{"id":783,"fairsharing_record_id":1792,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:43.903Z","updated_at":"2021-09-30T09:30:30.197Z","grant_id":738,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"K22LM009135","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":781,"fairsharing_record_id":1792,"organisation_id":1327,"relation":"funds","created_at":"2021-09-30T09:24:43.836Z","updated_at":"2021-09-30T09:24:43.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":782,"fairsharing_record_id":1792,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:24:43.869Z","updated_at":"2021-09-30T09:24:43.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":784,"fairsharing_record_id":1792,"organisation_id":329,"relation":"maintains","created_at":"2021-09-30T09:24:43.948Z","updated_at":"2021-09-30T09:24:43.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":329,"name":"Buck Institute for Research on Aging, Novato, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1793","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:44.862Z","metadata":{"doi":"10.25504/FAIRsharing.8zf3ny","name":"Universal PBM Resource for Oligonucleotide Binding Evaluation","status":"ready","contacts":[{"contact_name":"Maxwell Hume","contact_email":"uniprobe@genetics.med.harvard.edu","contact_orcid":"0000-0003-2877-8079"}],"homepage":"http://thebrain.bwh.harvard.edu/uniprobe/","citations":[],"identifier":1793,"description":"The UniPROBE (Universal PBM Resource for Oligonucleotide Binding Evaluation) database hosts data generated by universal protein binding microarray (PBM) technology on the in vitro DNA binding specificities of proteins.","abbreviation":"UniPROBE","data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010557","name":"re3data:r3d100010557","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005803","name":"SciCrunch:RRID:SCR_005803","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://thebrain.bwh.harvard.edu/pbms/UniPROBE_staging/admin.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000253","bsg-d000253"],"name":"FAIRsharing record for: Universal PBM Resource for Oligonucleotide Binding Evaluation","abbreviation":"UniPROBE","url":"https://fairsharing.org/10.25504/FAIRsharing.8zf3ny","doi":"10.25504/FAIRsharing.8zf3ny","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniPROBE (Universal PBM Resource for Oligonucleotide Binding Evaluation) database hosts data generated by universal protein binding microarray (PBM) technology on the in vitro DNA binding specificities of proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Sequence annotation","Protein interaction","Deoxyribonucleic acid","Molecular interaction","Protein"],"taxonomies":["Ashbya gossypii","Burkholderia pseudomallei K96243","Burkholderia thailandensis E264","Caenorhabditis elegans","Cryptosporidium parvum","Drosophila melanogaster","Emericella nidulans","Homo sapiens","Kluyveromyces lactis","Monosiga brevicollis","Mus musculus","Nematostella vectensis","Patiria miniata","Plasmodium falciparum","Saccharomyces cerevisiae","Strongylocentrotus purpuratus","Trichoplax adhaerens","Tuber melanosporum","Vibrio harveyi","Zymoseptoria tritici"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":812,"pubmed_id":18842628,"title":"UniPROBE: an online database of protein binding microarray data on protein-DNA interactions.","year":2008,"url":"http://doi.org/10.1093/nar/gkn660","authors":"Newburger DE., Bulyk ML.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn660","created_at":"2021-09-30T08:23:49.589Z","updated_at":"2021-09-30T08:23:49.589Z"},{"id":862,"pubmed_id":21037262,"title":"UniPROBE, update 2011: expanded content and search tools in the online database of protein-binding microarray data on protein-DNA interactions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq992","authors":"Robasky K., Bulyk ML.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq992","created_at":"2021-09-30T08:23:55.230Z","updated_at":"2021-09-30T08:23:55.230Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":215,"relation":"undefined"}],"grants":[{"id":785,"fairsharing_record_id":1793,"organisation_id":331,"relation":"maintains","created_at":"2021-09-30T09:24:43.986Z","updated_at":"2021-09-30T09:24:43.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":331,"name":"Bulyk Laboratory, Brigham and Women's Hospital/ Harvard Medical School, Boston, MA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":786,"fairsharing_record_id":1793,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:44.023Z","updated_at":"2021-09-30T09:32:05.586Z","grant_id":1465,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 HG003985","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1794","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:00:03.216Z","metadata":{"doi":"10.25504/FAIRsharing.er98b1","name":"CutDB","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"pmap_info@burnham.org"}],"homepage":"http://cutdb.burnham.org","identifier":1794,"description":"CutDB is one of the first systematic efforts to build an easily accessible collection of documented proteolytic events for natural proteins in vivo or in vitro. A CutDB entry is defined by a unique combination of these three attributes: protease, protein substrate, and cleavage site. Currently, CutDB integrates 3,070 proteolytic events for 470 different proteases captured from public archives (such as MEROPS and HPRD) and publications.","abbreviation":"CutDB","data_curation":{"type":"not found"},"year_creation":2006,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000254","bsg-d000254"],"name":"FAIRsharing record for: CutDB","abbreviation":"CutDB","url":"https://fairsharing.org/10.25504/FAIRsharing.er98b1","doi":"10.25504/FAIRsharing.er98b1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CutDB is one of the first systematic efforts to build an easily accessible collection of documented proteolytic events for natural proteins in vivo or in vitro. A CutDB entry is defined by a unique combination of these three attributes: protease, protein substrate, and cleavage site. Currently, CutDB integrates 3,070 proteolytic events for 470 different proteases captured from public archives (such as MEROPS and HPRD) and publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Enzyme","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":867,"pubmed_id":17142225,"title":"CutDB: a proteolytic event database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl813","authors":"Igarashi Y., Eroshkin A., Gramatikova S., Gramatikoff K., Zhang Y., Smith JW., Osterman AL., Godzik A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl813","created_at":"2021-09-30T08:23:55.775Z","updated_at":"2021-09-30T08:23:55.775Z"}],"licence_links":[],"grants":[{"id":787,"fairsharing_record_id":1794,"organisation_id":2487,"relation":"maintains","created_at":"2021-09-30T09:24:44.065Z","updated_at":"2021-09-30T09:24:44.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":2487,"name":"Sanford Burnham Prebys Medical Discovery Institute (SBP), La Jolla, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":788,"fairsharing_record_id":1794,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:44.107Z","updated_at":"2021-09-30T09:30:49.015Z","grant_id":884,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5 U54 RR020843-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1770","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T09:20:35.399Z","metadata":{"doi":"10.25504/FAIRsharing.x6d6sx","name":"Bgee DataBase for Gene Expression Evolution","status":"ready","contacts":[{"contact_name":"Frederic B. Bastian","contact_email":"bgee@sib.swiss"}],"homepage":"https://www.bgee.org","citations":[],"identifier":1770,"description":"Bgee is a database for retrieval and comparison of gene expression patterns across multiple animal species. It provides an intuitive answer to the question \"where is a gene expressed?\" and supports research in cancer and agriculture as well as evolutionary biology.\nBgee data are produced from multiple data types (bulk and single-cell RNA-Seq, Affymetrix, in situ hybridization, EST data), and multiple data sets, that are all integrated consistently to provide a single answer to the question: \"where is this gene expressed?\"\nBgee is based exclusively on curated \"normal\", healthy wild-type expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of normal gene expression.\nBgee produces calls of presence/absence of expression, and of differential over-/under-expression, integrated along with information of gene orthology, and of homology between organs. This allows comparisons of expression patterns between species.","abbreviation":"Bgee","data_curation":{"url":"https://github.com/BgeeDB/expression-annotations","type":"manual"},"support_links":[{"url":"Bgee@sib.swiss","name":"General contact","type":"Support email"},{"url":"https://github.com/BgeeDB/","type":"Github"},{"url":"https://www.bgee.org/about/","type":"Help documentation"},{"url":"https://twitter.com/Bgeedb","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://www.bgee.org/analysis/top-anat","name":"TopAnat - Gene Expression Enrichment"},{"url":"https://bioconductor.org/packages/release/bioc/html/BgeeDB.html","name":"BgeeDB Bioconductor 3.8"},{"url":"http://bioconductor.org/packages/release/bioc/html/BgeeCall.html","name":"BgeeCall"},{"url":"https://www.bgee.org/analysis/expr-comparison","name":"Expression comparison"}],"data_access_condition":{"url":"https://www.bgee.org/download/data-dumps","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000228","bsg-d000228"],"name":"FAIRsharing record for: Bgee DataBase for Gene Expression Evolution","abbreviation":"Bgee","url":"https://fairsharing.org/10.25504/FAIRsharing.x6d6sx","doi":"10.25504/FAIRsharing.x6d6sx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bgee is a database for retrieval and comparison of gene expression patterns across multiple animal species. It provides an intuitive answer to the question \"where is a gene expressed?\" and supports research in cancer and agriculture as well as evolutionary biology.\nBgee data are produced from multiple data types (bulk and single-cell RNA-Seq, Affymetrix, in situ hybridization, EST data), and multiple data sets, that are all integrated consistently to provide a single answer to the question: \"where is this gene expressed?\"\nBgee is based exclusively on curated \"normal\", healthy wild-type expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of normal gene expression.\nBgee produces calls of presence/absence of expression, and of differential over-/under-expression, integrated along with information of gene orthology, and of homology between organs. This allows comparisons of expression patterns between species.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18167},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11330},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12160},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19502}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Transcriptomics","Phenomics"],"domains":["Expression data","RNA sequence","Annotation","Analysis","Differential gene expression analysis","Gene expression","RNA sequencing","In situ hybridization","Homologous","Orthologous","Biocuration"],"taxonomies":["Anolis carolinensis","Bos taurus","Branchiostoma lanceolatum","Caenorhabditis elegans","Canis lupus","Cavia porcellus","Danio rerio","Drosophila ananassae","Drosophila melanogaster","Drosophila mojavensis","Drosophila pseudoobscura","Drosophila simulans","Drosophila virilis","Drosophila yakuba","Equus caballus","Erinaceus europaeus","Eumetazoa","Felis catus","Gallus gallus","Gorilla gorilla gorilla","Homo sapiens","Lepisosteus oculatus","Macaca mulatta","Metazoa","Monodelphis domestica","Mus musculus","Ornithorhynchus anatinus","Oryctolagus cuniculus","Pan paniscus","Pan troglodytes","Rattus norvegicus","Sus scrofa","Teleostei","Xenopus tropicalis"],"user_defined_tags":["Single cell gene expression","single cell rna-seq"],"countries":["Switzerland"],"publications":[{"id":23,"pubmed_id":30467516,"title":"BgeeDB, an R package for retrieval of curated expression datasets and for gene list expression localization enrichment tests.","year":2016,"url":"http://doi.org/10.12688/f1000research.9973.2","authors":"Komljenovic A,Roux J,Wollbrett J,Robinson-Rechavi M,Bastian FB","journal":"F1000Res","doi":"10.12688/f1000research.9973.2","created_at":"2021-09-30T08:22:22.838Z","updated_at":"2021-09-30T08:22:22.838Z"},{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":1340,"pubmed_id":23487185,"title":"Uncovering hidden duplicated content in public transcriptomics data.","year":2013,"url":"http://doi.org/10.1093/database/bat010","authors":"Rosikiewicz M., Comte A., Niknejad A., Robinson-Rechavi M., Bastian FB.,","journal":"Database (Oxford)","doi":"10.1093/database/bat010","created_at":"2021-09-30T08:24:49.951Z","updated_at":"2021-09-30T08:24:49.951Z"},{"id":2462,"pubmed_id":22285560,"title":"vHOG, a multispecies vertebrate ontology of homologous organs groups.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts048","authors":"Niknejad A,Comte A,Parmentier G,Roux J,Bastian FB,Robinson-Rechavi M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts048","created_at":"2021-09-30T08:27:01.961Z","updated_at":"2021-09-30T08:27:01.961Z"},{"id":2498,"pubmed_id":null,"title":"Bgee: Integrating and Comparing Heterogeneous Transcriptome Data Among Species","year":2008,"url":"http://doi.org/10.1007/978-3-540-69828-9_12","authors":"Frederic Bastian, Gilles Parmentier, Julien Roux, Sebastien Moretti, Vincent Laudet, Marc Robinson-Rechavi","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-540-69828-9_12","created_at":"2021-09-30T08:27:06.283Z","updated_at":"2021-09-30T08:27:06.283Z"},{"id":3924,"pubmed_id":null,"title":"The Bgee suite: integrated curated expression atlas and comparative transcriptomics in animals","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa793","authors":"Bastian, Frederic B; Roux, Julien; Niknejad, Anne; Comte, Aurélie; Fonseca Costa, Sara S; de Farias, Tarcisio Mendes; Moretti, Sébastien; Parmentier, Gilles; de Laval, Valentine Rech; Rosikiewicz, Marta; Wollbrett, Julien; Echchiki, Amina; Escoriza, Angélique; Gharib, Walid H; Gonzales-Porta, Mar; Jarosz, Yohan; Laurenczy, Balazs; Moret, Philippe; Person, Emilie; Roelli, Patrick; Sanjeev, Komal; Seppey, Mathieu; Robinson-Rechavi, Marc; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa793","created_at":"2023-06-20T14:07:50.003Z","updated_at":"2023-06-20T14:07:50.003Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2097,"relation":"undefined"}],"grants":[{"id":715,"fairsharing_record_id":1770,"organisation_id":3075,"relation":"maintains","created_at":"2021-09-30T09:24:41.404Z","updated_at":"2021-09-30T09:24:41.404Z","grant_id":null,"is_lead":false,"saved_state":{"id":3075,"name":"University of Lausanne, department of Ecology and Evolution, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":720,"fairsharing_record_id":1770,"organisation_id":881,"relation":"funds","created_at":"2021-09-30T09:24:41.592Z","updated_at":"2021-09-30T09:24:41.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":881,"name":"Etat de Vaud, Lausanne, Switzerland","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7945,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:59.933Z","updated_at":"2021-09-30T09:29:59.985Z","grant_id":506,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062542","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8069,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:45.453Z","updated_at":"2021-09-30T09:30:45.539Z","grant_id":855,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062404","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":714,"fairsharing_record_id":1770,"organisation_id":209,"relation":"maintains","created_at":"2021-09-30T09:24:41.362Z","updated_at":"2021-09-30T09:24:41.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":209,"name":"BGEE administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":716,"fairsharing_record_id":1770,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:41.445Z","updated_at":"2021-09-30T09:24:41.445Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":718,"fairsharing_record_id":1770,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:24:41.521Z","updated_at":"2021-09-30T09:24:41.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":713,"fairsharing_record_id":1770,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:24:41.332Z","updated_at":"2021-09-30T09:29:01.184Z","grant_id":57,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31003A_153341","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":717,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:41.484Z","updated_at":"2021-09-30T09:29:46.854Z","grant_id":399,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0641025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":719,"fairsharing_record_id":1770,"organisation_id":2809,"relation":"funds","created_at":"2021-09-30T09:24:41.559Z","updated_at":"2021-09-30T09:32:04.507Z","grant_id":1456,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","grant":"EF-0905606","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7922,"fairsharing_record_id":1770,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:29:48.418Z","updated_at":"2021-09-30T09:29:48.508Z","grant_id":413,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31003A 133011/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8280,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:53.774Z","updated_at":"2021-09-30T09:31:53.843Z","grant_id":1376,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI -1062350","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8407,"fairsharing_record_id":1770,"organisation_id":2809,"relation":"funds","created_at":"2021-09-30T09:32:30.768Z","updated_at":"2021-09-30T09:32:30.817Z","grant_id":1654,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","grant":"EF-0423641","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcmtDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--307bcdde0140df25857b2997a06b67cb561c9695/bgee_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1771","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:45:12.225Z","metadata":{"doi":"10.25504/FAIRsharing.3rnawd","name":"Signal Transduction Classification Database","status":"deprecated","contacts":[{"contact_email":"mchen@techfak.uni-bielefeld.de"}],"homepage":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/","citations":[],"identifier":1771,"description":"The signal molecules and pathways are classified and illustrated by graphs in this database.","abbreviation":"STCDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/introduction.html","type":"Help documentation"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/application.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/submit.html","name":"submit"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/search.html","name":"search"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/classification.html","name":"browse"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/submit.html","name":"submit"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/search.html","name":"search"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/classification.html","name":"browse"}],"deprecation_date":"2021-9-19","deprecation_reason":"This resource contains an organised set of web pages on signal transduction classification, but is not a database according to our definitions, therefore this record has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000229","bsg-d000229"],"name":"FAIRsharing record for: Signal Transduction Classification Database","abbreviation":"STCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3rnawd","doi":"10.25504/FAIRsharing.3rnawd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The signal molecules and pathways are classified and illustrated by graphs in this database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Small molecule","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":272,"pubmed_id":14681456,"title":"STCDB: Signal Transduction Classification Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh079","authors":"Chen M., Lin S., Hofestaedt R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh079","created_at":"2021-09-30T08:22:49.416Z","updated_at":"2021-09-30T08:22:49.416Z"}],"licence_links":[],"grants":[{"id":721,"fairsharing_record_id":1771,"organisation_id":213,"relation":"maintains","created_at":"2021-09-30T09:24:41.629Z","updated_at":"2021-09-30T09:24:41.629Z","grant_id":null,"is_lead":false,"saved_state":{"id":213,"name":"Bielefeld University, Bielefeld, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1766","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:57:35.375Z","metadata":{"doi":"10.25504/FAIRsharing.snnfj7","name":"Pig Genomic Informatics System","status":"deprecated","contacts":[{"contact_name":"Jun Wang","contact_email":"wangj@genomics.org.cn"}],"homepage":"http://pig.genomics.org.cn/","identifier":1766,"description":"The Pig Genomic Informatics System (PigGIS) presents accurate pig gene annotations in all sequenced genomic regions. It integrates various available pig sequence data, including 3.84 million whole-genome-shortgun (WGS) reads and 0.7 million Expressed Sequence Tags (ESTs) generated by Sino-Danish Pig Genome Project, and 1 million miscellaneous GenBank records.","abbreviation":"PigGIS","data_curation":{"type":"not found"},"support_links":[{"url":"piggis@genomics.org.cn","type":"Support email"},{"url":"http://pig.genomics.org.cn/faq.jsp","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://pig.genomics.org.cn/blast.jsp","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000224","bsg-d000224"],"name":"FAIRsharing record for: Pig Genomic Informatics System","abbreviation":"PigGIS","url":"https://fairsharing.org/10.25504/FAIRsharing.snnfj7","doi":"10.25504/FAIRsharing.snnfj7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pig Genomic Informatics System (PigGIS) presents accurate pig gene annotations in all sequenced genomic regions. It integrates various available pig sequence data, including 3.84 million whole-genome-shortgun (WGS) reads and 0.7 million Expressed Sequence Tags (ESTs) generated by Sino-Danish Pig Genome Project, and 1 million miscellaneous GenBank records.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Ribonucleic acid","Structure","Gene","Genome"],"taxonomies":["Sus scrofa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":285,"pubmed_id":17090590,"title":"PigGIS: Pig Genomic Informatics System.","year":2006,"url":"http://doi.org/10.1093/nar/gkl808","authors":"Ruan J., Guo Y., Li H., Hu Y., Song F., Huang X., Kristiensen K., Bolund L., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl808","created_at":"2021-09-30T08:22:50.724Z","updated_at":"2021-09-30T08:22:50.724Z"}],"licence_links":[],"grants":[{"id":703,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:41.020Z","updated_at":"2021-09-30T09:29:21.276Z","grant_id":209,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90208019","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":701,"fairsharing_record_id":1766,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:40.945Z","updated_at":"2021-09-30T09:29:38.705Z","grant_id":340,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"GJHZ0518","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":700,"fairsharing_record_id":1766,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:40.904Z","updated_at":"2021-09-30T09:29:25.501Z","grant_id":243,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"CNGI-04-15-7A","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8085,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:50.596Z","updated_at":"2021-09-30T09:30:50.647Z","grant_id":897,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90403130","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8251,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:44.891Z","updated_at":"2021-09-30T09:31:44.945Z","grant_id":1309,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30221004","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":702,"fairsharing_record_id":1766,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.983Z","updated_at":"2021-09-30T09:24:40.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":704,"fairsharing_record_id":1766,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:41.062Z","updated_at":"2021-09-30T09:31:29.731Z","grant_id":1196,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","grant":"XXBKYHT2006001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7959,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:04.668Z","updated_at":"2021-09-30T09:30:04.715Z","grant_id":540,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90608010","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8362,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:15.091Z","updated_at":"2021-09-30T09:32:15.146Z","grant_id":1533,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90612019","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1767","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:56.863Z","metadata":{"doi":"10.25504/FAIRsharing.6cnw23","name":"YanHuang - YH1 Genome Database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"yhdb@genomics.org.cn"}],"homepage":"http://yh.genomics.org.cn","identifier":1767,"description":"The YH database presents the entire DNA sequence of a Han Chinese individual, as a representative of Asian population. This genome, named as YH, is the start of YanHuang Project, which aims to sequence 100 Chinese individuals in 3 years.assembled based on 3.3 billion reads (117.7Gbp raw data) generated by Illumina Genome Analyzer. In total of 102.9Gbp nucleotides were mapped onto the NCBI human reference genome (Build 36) by self-developed software SOAP (Short Oligonucleotide Alignment Program), and 3.07 million SNPs were identified.","abbreviation":"YH1","data_curation":{"type":"not found"},"support_links":[{"url":"http://yh.genomics.org.cn/help.jsp","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://yh.genomics.org.cn/search.jsp","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000225","bsg-d000225"],"name":"FAIRsharing record for: YanHuang - YH1 Genome Database","abbreviation":"YH1","url":"https://fairsharing.org/10.25504/FAIRsharing.6cnw23","doi":"10.25504/FAIRsharing.6cnw23","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The YH database presents the entire DNA sequence of a Han Chinese individual, as a representative of Asian population. This genome, named as YH, is the start of YanHuang Project, which aims to sequence 100 Chinese individuals in 3 years.assembled based on 3.3 billion reads (117.7Gbp raw data) generated by Illumina Genome Analyzer. In total of 102.9Gbp nucleotides were mapped onto the NCBI human reference genome (Build 36) by self-developed software SOAP (Short Oligonucleotide Alignment Program), and 3.07 million SNPs were identified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":288,"pubmed_id":19073702,"title":"The YH database: the first Asian diploid genome database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn966","authors":"Li G., Ma L., Song C., Yang Z., Wang X., Huang H., Li Y., Li R., Zhang X., Yang H., Wang J., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn966","created_at":"2021-09-30T08:22:51.032Z","updated_at":"2021-09-30T08:22:51.032Z"}],"licence_links":[],"grants":[{"id":708,"fairsharing_record_id":1767,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:41.197Z","updated_at":"2021-09-30T09:32:15.164Z","grant_id":1533,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90612019","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":707,"fairsharing_record_id":1767,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:41.174Z","updated_at":"2021-09-30T09:24:41.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":706,"fairsharing_record_id":1767,"organisation_id":192,"relation":"funds","created_at":"2021-09-30T09:24:41.141Z","updated_at":"2021-09-30T09:29:59.843Z","grant_id":505,"is_lead":false,"saved_state":{"id":192,"name":"Beijing Municipal Science \u0026 Technology Commission, (BMSTC), China","grant":"D07030200740000","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":705,"fairsharing_record_id":1767,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:41.104Z","updated_at":"2021-09-30T09:31:09.175Z","grant_id":1042,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2007CB815705","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":709,"fairsharing_record_id":1767,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:41.222Z","updated_at":"2021-09-30T09:31:29.748Z","grant_id":1196,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","grant":"XXBKYHT2006001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1768","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:54:40.697Z","metadata":{"doi":"10.25504/FAIRsharing.kap6gp","name":"Berkeley Drosophila Genome Project EST database","status":"ready","contacts":[{"contact_name":"Susan Celniker","contact_email":"celniker@fruitfly.org"}],"homepage":"http://www.fruitfly.org/EST/index.shtml","identifier":1768,"description":"The goals of the Drosophila Genome Center are to finish the sequence of the euchromatic genome of Drosophila melanogaster to high quality and to generate and maintain biological annotations of this sequence.","abbreviation":"BDGP","data_curation":{"type":"none"},"support_links":[{"url":"bdgp@fruitfly.org","type":"Support email"},{"url":"http://www.fruitfly.org/EST/faq.html","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010624","name":"re3data:r3d100010624","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013094","name":"SciCrunch:RRID:SCR_013094","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000226","bsg-d000226"],"name":"FAIRsharing record for: Berkeley Drosophila Genome Project EST database","abbreviation":"BDGP","url":"https://fairsharing.org/10.25504/FAIRsharing.kap6gp","doi":"10.25504/FAIRsharing.kap6gp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goals of the Drosophila Genome Center are to finish the sequence of the euchromatic genome of Drosophila melanogaster to high quality and to generate and maintain biological annotations of this sequence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Sequence annotation","Genome"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":710,"fairsharing_record_id":1768,"organisation_id":203,"relation":"maintains","created_at":"2021-09-30T09:24:41.248Z","updated_at":"2021-09-30T09:24:41.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":203,"name":"Berkeley Drosophila Genome Project, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1769","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.881Z","metadata":{"doi":"10.25504/FAIRsharing.c34wtj","name":"Endocrine Pancreas Consortium Database","status":"deprecated","contacts":[{"contact_name":"Joan Mazzarelli","contact_email":"mazz@pcbi.uprnn.edu"}],"homepage":"http://www.cbil.upenn.edu/EPConDB","identifier":1769,"description":"EPConDB is a resource of the Beta Cell Biology Consortium which displays information about genes expressed in cells of the pancreas and their transcriptional regulation.","abbreviation":"EPConDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.betacell.org/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.betacell.org/content/tutorial/","type":"Training documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000227","bsg-d000227"],"name":"FAIRsharing record for: Endocrine Pancreas Consortium Database","abbreviation":"EPConDB","url":"https://fairsharing.org/10.25504/FAIRsharing.c34wtj","doi":"10.25504/FAIRsharing.c34wtj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EPConDB is a resource of the Beta Cell Biology Consortium which displays information about genes expressed in cells of the pancreas and their transcriptional regulation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Biological regulation","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":292,"pubmed_id":17071715,"title":"EPConDB: a web resource for gene expression related to pancreatic development, beta-cell function and diabetes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl748","authors":"Mazzarelli JM., Brestelli J., Gorski RK., Liu J., Manduchi E., Pinney DF., Schug J., White P., Kaestner KH., Stoeckert CJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl748","created_at":"2021-09-30T08:22:51.432Z","updated_at":"2021-09-30T08:22:51.432Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":190,"relation":"undefined"}],"grants":[{"id":711,"fairsharing_record_id":1769,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:24:41.273Z","updated_at":"2021-09-30T09:24:41.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":712,"fairsharing_record_id":1769,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:41.303Z","updated_at":"2021-09-30T09:32:19.770Z","grant_id":1569,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"UO1 56947","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1789","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:56.407Z","metadata":{"doi":"10.25504/FAIRsharing.etp533","name":"BRENDA Enzyme Database","status":"ready","contacts":[{"contact_name":"BRENDA Support","contact_email":"contact@brenda-enzymes.org","contact_orcid":null}],"homepage":"https://www.brenda-enzymes.org/","citations":[],"identifier":1789,"description":"BRENDA is the main collection of enzyme functional data available to the scientific community.","abbreviation":"BRENDA","data_curation":{"url":"https://www.brenda-enzymes.org/introduction.php","type":"manual/automated","notes":"Data on enzyme function are extracted directly from the primary literature by scientists holding a degree in Biology or Chemistry. Formal and consistency checks are done by computer programs, each data set on a classified enzyme is checked manually by at least one biologist and one chemist."},"support_links":[{"url":"http://brenda-enzymes.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://brenda-enzymes.org/help.php","type":"Help documentation"},{"url":"http://brenda-enzymes.org/tutorial.php","type":"Help documentation"}],"year_creation":1987,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010616","name":"re3data:r3d100010616","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002997","name":"SciCrunch:RRID:SCR_002997","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.brenda-enzymes.org/introduction.php","type":"open","notes":"Use of this online version of BRENDA is free under the CC BY 4.0 license."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000249","bsg-d000249"],"name":"FAIRsharing record for: BRENDA Enzyme Database","abbreviation":"BRENDA","url":"https://fairsharing.org/10.25504/FAIRsharing.etp533","doi":"10.25504/FAIRsharing.etp533","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BRENDA is the main collection of enzyme functional data available to the scientific community.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11331},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11833},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16212}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Ligand","Enzyme","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":574,"pubmed_id":11796225,"title":"BRENDA: a resource for enzyme data and metabolic information.","year":2002,"url":"http://doi.org/10.1016/s0968-0004(01)02027-8","authors":"Schomburg I,Chang A,Hofmann O,Ebeling C,Ehrentreich F,Schomburg D","journal":"Trends Biochem Sci","doi":"10.1016/S0968-0004(01)02027-8","created_at":"2021-09-30T08:23:22.777Z","updated_at":"2021-09-30T08:23:22.777Z"},{"id":590,"pubmed_id":11752250,"title":"BRENDA, enzyme data and metabolic information.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.47","authors":"Schomburg I,Chang A,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.47","created_at":"2021-09-30T08:23:24.693Z","updated_at":"2021-09-30T11:28:47.634Z"},{"id":1358,"pubmed_id":14681450,"title":"BRENDA, the enzyme database: updates and major new developments.","year":2003,"url":"http://doi.org/10.1093/nar/gkh081","authors":"Schomburg I,Chang A,Ebeling C,Gremse M,Heldt C,Huhn G,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh081","created_at":"2021-09-30T08:24:51.872Z","updated_at":"2021-09-30T11:29:06.777Z"},{"id":1564,"pubmed_id":12850129,"title":"Review of the BRENDA Database.","year":2003,"url":"http://doi.org/10.1016/s1096-7176(03)00008-9","authors":"Pharkya P,Nikolaev EV,Maranas CD","journal":"Metab Eng","doi":"10.1016/S1096-7176(03)00008-9","created_at":"2021-09-30T08:25:15.385Z","updated_at":"2021-09-30T08:25:15.385Z"},{"id":1590,"pubmed_id":25378310,"title":"BRENDA in 2015: exciting developments in its 25th year of existence.","year":2014,"url":"http://doi.org/10.1093/nar/gku1068","authors":"Chang A,Schomburg I,Placzek S,Jeske L,Ulbrich M,Xiao M,Sensen CW,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1068","created_at":"2021-09-30T08:25:18.284Z","updated_at":"2021-09-30T11:29:14.902Z"},{"id":1591,"pubmed_id":17202167,"title":"BRENDA, AMENDA and FRENDA: the enzyme information system in 2007.","year":2007,"url":"http://doi.org/10.1093/nar/gkl972","authors":"Barthelmes J,Ebeling C,Chang A,Schomburg I,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl972","created_at":"2021-09-30T08:25:18.383Z","updated_at":"2021-09-30T11:29:15.044Z"},{"id":2259,"pubmed_id":18984617,"title":"BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009.","year":2008,"url":"http://doi.org/10.1093/nar/gkn820","authors":"Chang A., Scheer M., Grote A., Schomburg I., Schomburg D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn820","created_at":"2021-09-30T08:26:34.757Z","updated_at":"2021-09-30T08:26:34.757Z"},{"id":2406,"pubmed_id":23203881,"title":"BRENDA in 2013: integrated reactions, kinetic data, enzyme function data, improved disease classification: new options and contents in BRENDA.","year":2012,"url":"http://doi.org/10.1093/nar/gks1049","authors":"Schomburg I,Chang A,Placzek S,Sohngen C,Rother M,Lang M,Munaretto C,Ulas S,Stelzer M,Grote A,Scheer M,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1049","created_at":"2021-09-30T08:26:55.301Z","updated_at":"2021-09-30T11:29:35.078Z"},{"id":2407,"pubmed_id":21062828,"title":"BRENDA, the enzyme information system in 2011.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1089","authors":"Scheer M,Grote A,Chang A,Schomburg I,Munaretto C,Rother M,Sohngen C,Stelzer M,Thiele J,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1089","created_at":"2021-09-30T08:26:55.403Z","updated_at":"2021-09-30T11:29:35.170Z"},{"id":2408,"pubmed_id":28438579,"title":"The BRENDA enzyme information system-From a database to an expert system.","year":2017,"url":"http://doi.org/S0168-1656(17)30183-9","authors":"Schomburg I,Jeske L,Ulbrich M,Placzek S,Chang A,Schomburg D","journal":"J Biotechnol","doi":"S0168-1656(17)30183-9","created_at":"2021-09-30T08:26:55.518Z","updated_at":"2021-09-30T08:26:55.518Z"}],"licence_links":[{"licence_name":"BRENDA License","licence_id":86,"licence_url":"http://www.brenda-enzymes.org/copy.php","link_id":879,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2583,"relation":"applies_to_content"}],"grants":[{"id":768,"fairsharing_record_id":1789,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:24:43.309Z","updated_at":"2021-09-30T09:29:34.222Z","grant_id":305,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":767,"fairsharing_record_id":1789,"organisation_id":309,"relation":"maintains","created_at":"2021-09-30T09:24:43.278Z","updated_at":"2021-09-30T09:24:43.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":309,"name":"BRENDA Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":772,"fairsharing_record_id":1789,"organisation_id":1990,"relation":"funds","created_at":"2021-09-30T09:24:43.490Z","updated_at":"2021-09-30T09:29:22.943Z","grant_id":222,"is_lead":false,"saved_state":{"id":1990,"name":"National Genome Research Network (NGFN), Heidelberg, Germany","grant":"0313398B","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":769,"fairsharing_record_id":1789,"organisation_id":1871,"relation":"funds","created_at":"2021-09-30T09:24:43.333Z","updated_at":"2021-09-30T09:29:33.477Z","grant_id":299,"is_lead":false,"saved_state":{"id":1871,"name":"Ministry of Science and Culture of Lower Saxony, Hannover, Germany","grant":"74ZN1122","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9296,"fairsharing_record_id":1789,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.560Z","updated_at":"2022-04-11T12:07:28.576Z","grant_id":1013,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902 (RII3)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9354,"fairsharing_record_id":1789,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.615Z","updated_at":"2022-04-11T12:07:32.634Z","grant_id":1641,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01KX1235","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1790","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-20T15:40:05.925Z","metadata":{"doi":"10.25504/FAIRsharing.8dak0r","name":"Open Regulatory Annotation","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"oreganno@bcgsc.ca"}],"homepage":"http://www.oreganno.org/","citations":[{"doi":"10.1093/nar/gkv1203","pubmed_id":null,"publication_id":3994}],"identifier":1790,"description":"The Open REGulatory ANNOtation database (ORegAnno) is an open database for the curation of known regulatory elements from scientific literature. Annotation is collected from users worldwide for various biological assays and is automatically cross-referenced against PubMED, Entrez Gene, EnsEMBL, dbSNP, the eVOC: Cell type ontology, and the Taxonomy database.","abbreviation":"ORegAnno","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.oreganno.org/oregano/Help.jsp","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010656","name":"re3data:r3d100010656","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007835","name":"SciCrunch:RRID:SCR_007835","portal":"SciCrunch"}],"deprecation_date":"2023-09-20","deprecation_reason":"The resource homepage is no longer valid, and a new homepage cannot be found. Please let us know if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000250","bsg-d000250"],"name":"FAIRsharing record for: Open Regulatory Annotation","abbreviation":"ORegAnno","url":"https://fairsharing.org/10.25504/FAIRsharing.8dak0r","doi":"10.25504/FAIRsharing.8dak0r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open REGulatory ANNOtation database (ORegAnno) is an open database for the curation of known regulatory elements from scientific literature. Annotation is collected from users worldwide for various biological assays and is automatically cross-referenced against PubMED, Entrez Gene, EnsEMBL, dbSNP, the eVOC: Cell type ontology, and the Taxonomy database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Biological regulation","Small molecule","Protein","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":316,"pubmed_id":18006570,"title":"ORegAnno: an open-access community-driven resource for regulatory annotation.","year":2007,"url":"http://doi.org/10.1093/nar/gkm967","authors":"Griffith OL., Montgomery SB., Bernier B., Chu B., Kasaian K., Aerts S., Mahony S., Sleumer MC., Bilenky M., Haeussler M., Griffith M., Gallo SM., Giardine B., Hooghe B., Van Loo P., Blanco E., Ticoll A., Lithwick S., Portales-Casamar E., Donaldson IJ., Robertson G., Wadelius C., De Bleser P., Vlieghe D., Halfon MS., Wasserman W., Hardison R., Bergman CM., Jones SJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm967","created_at":"2021-09-30T08:22:53.899Z","updated_at":"2021-09-30T08:22:53.899Z"},{"id":317,"pubmed_id":16397004,"title":"ORegAnno: an open access database and curation system for literature-derived promoters, transcription factor binding sites and regulatory variation.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btk027","authors":"Montgomery SB., Griffith OL., Sleumer MC., Bergman CM., Bilenky M., Pleasance ED., Prychyna Y., Zhang X., Jones SJ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btk027","created_at":"2021-09-30T08:22:54.007Z","updated_at":"2021-09-30T08:22:54.007Z"},{"id":3994,"pubmed_id":null,"title":"ORegAnno 3.0: a community-driven resource for curated regulatory annotation","year":2015,"url":"http://dx.doi.org/10.1093/nar/gkv1203","authors":"Lesurf, Robert; Cotto, Kelsy C.; Wang, Grace; Griffith, Malachi; Kasaian, Katayoon; Jones, Steven J. M.; Montgomery, Stephen B.; Griffith, Obi L.; undefined, undefined; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkv1203","created_at":"2023-09-20T15:37:46.663Z","updated_at":"2023-09-20T15:37:46.663Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":273,"relation":"undefined"}],"grants":[{"id":773,"fairsharing_record_id":1790,"organisation_id":186,"relation":"funds","created_at":"2021-09-30T09:24:43.528Z","updated_at":"2021-09-30T09:24:43.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":186,"name":"BC Cancer Foundation, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":776,"fairsharing_record_id":1790,"organisation_id":1111,"relation":"funds","created_at":"2021-09-30T09:24:43.647Z","updated_at":"2021-09-30T09:24:43.647Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":774,"fairsharing_record_id":1790,"organisation_id":1109,"relation":"funds","created_at":"2021-09-30T09:24:43.564Z","updated_at":"2021-09-30T09:24:43.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1109,"name":"Genome British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":775,"fairsharing_record_id":1790,"organisation_id":946,"relation":"funds","created_at":"2021-09-30T09:24:43.605Z","updated_at":"2021-09-30T09:24:43.605Z","grant_id":null,"is_lead":false,"saved_state":{"id":946,"name":"European Network of Excellence (ENFIN), Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":777,"fairsharing_record_id":1790,"organisation_id":185,"relation":"maintains","created_at":"2021-09-30T09:24:43.686Z","updated_at":"2021-09-30T09:24:43.686Z","grant_id":null,"is_lead":false,"saved_state":{"id":185,"name":"BC Cancer Agency, Canada","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1791","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:42:33.251Z","metadata":{"doi":"10.25504/FAIRsharing.fj1d4d","name":"Magnaporthe grisea Database","status":"deprecated","contacts":[{"contact_name":"Ralph A. Dean","contact_email":"radean2@ncsu.edu"}],"homepage":"http://www.broad.mit.edu/annotation/genome/magnaporthe_grisea/Home.html","identifier":1791,"description":"The Magnaporthe comparative genomics database provides accesses to multiple fungal genomes from the Magnaporthaceae family to facilitate the comparative analysis. The project is a partnership between the International Rice Blast Genome Consortium, and the Broad Institute. The project is facilitated by an Advisory Board made up of members of the rice blast research community.","abbreviation":"MGG","data_curation":{"type":"not found"},"support_links":[{"url":"annotation-webmaster@broadinstitute.org","type":"Support email"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Info.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/FeatureSearch.html","name":"search"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Regions.html","name":"browse"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Blast.html","name":"BLAST"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/FeatureSearch.html","name":"search"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Regions.html","name":"browse"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Blast.html","name":"BLAST"}],"deprecation_date":"2021-9-18","deprecation_reason":"This resource contains data accessible via both ftp and through GenBank and JGI (http://genome.jgi.doe.gov/programs/fungi/index.jsf), but does not host their own database, therefore this record has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000251","bsg-d000251"],"name":"FAIRsharing record for: Magnaporthe grisea Database","abbreviation":"MGG","url":"https://fairsharing.org/10.25504/FAIRsharing.fj1d4d","doi":"10.25504/FAIRsharing.fj1d4d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Magnaporthe comparative genomics database provides accesses to multiple fungal genomes from the Magnaporthaceae family to facilitate the comparative analysis. The project is a partnership between the International Rice Blast Genome Consortium, and the Broad Institute. The project is facilitated by an Advisory Board made up of members of the rice blast research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Comparative Genomics"],"domains":["Genome"],"taxonomies":["Magnaporthe grisea"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1595,"pubmed_id":26416668,"title":"Genome Sequences of Three Phytopathogenic Species of the Magnaporthaceae Family of Fungi.","year":2015,"url":"http://doi.org/10.1534/g3.115.020057","authors":"Okagaki LH,Nunes CC,Sailsbery J,Clay B,Brown D,John T,Oh Y,Young N,Fitzgerald M,Haas BJ,Zeng Q,Young S,Adiconis X,Fan L,Levin JZ,Mitchell TK,Okubara PA,Farman ML,Kohn LM,Birren B,Ma LJ,Dean RA","journal":"G3 (Bethesda)","doi":"10.1534/g3.115.020057","created_at":"2021-09-30T08:25:18.803Z","updated_at":"2021-09-30T08:25:18.803Z"},{"id":1596,"pubmed_id":15846337,"title":"The genome sequence of the rice blast fungus Magnaporthe grisea.","year":2005,"url":"http://doi.org/10.1038/nature03449","authors":"Dean RA,Talbot NJ,Ebbole DJ,Farman ML,Mitchell TK,Orbach MJ,Thon M,Kulkarni R,Xu JR,Pan H,Read ND,Lee YH,Carbone I,Brown D,Oh YY,Donofrio N,Jeong JS,Soanes DM,Djonovic S,Kolomiets E,Rehmeyer C,Li W,Harding M,Kim S,Lebrun MH,Bohnert H,Coughlan S,Butler J,Calvo S,Ma LJ,Nicol R,Purcell S,Nusbaum C,Galagan JE,Birren BW","journal":"Nature","doi":"10.1038/nature03449","created_at":"2021-09-30T08:25:18.961Z","updated_at":"2021-09-30T08:25:18.961Z"}],"licence_links":[],"grants":[{"id":778,"fairsharing_record_id":1791,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:24:43.720Z","updated_at":"2021-09-30T09:24:43.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":780,"fairsharing_record_id":1791,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:43.797Z","updated_at":"2021-09-30T09:29:17.327Z","grant_id":178,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB-0333269","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":779,"fairsharing_record_id":1791,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:43.756Z","updated_at":"2021-09-30T09:30:21.240Z","grant_id":671,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"5T32-AI052080-09","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1772","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:12.814Z","metadata":{"doi":"10.25504/FAIRsharing.3b36hk","name":"BindingDB database of measured binding affinities","status":"ready","contacts":[{"contact_name":"Michael K. Gilson","contact_email":"mgilson@health.ucsd.edu","contact_orcid":"0000-0002-3375-1738"}],"homepage":"http://www.bindingdb.org","citations":[],"identifier":1772,"description":"BindingDB enables research by making a growing collection of high-quality, quantitative, protein-ligand binding data findable and usable. Funded by NIGMS/NIH.","abbreviation":"BindingDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.bindingdb.org/bind/sendmail.jsp","type":"Contact form"},{"url":"http://www.bindingdb.org/bind/info.jsp","type":"Help documentation"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"http://www.bindingdb.org/bind/BySequence.jsp","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012074","name":"re3data:r3d100012074","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000390","name":"SciCrunch:RRID:SCR_000390","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.bindingdb.org/rwd/bind/index.jsp","type":"open","notes":"Users can inform that some relevant patents are missing so as the resource team curate them"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000230","bsg-d000230"],"name":"FAIRsharing record for: BindingDB database of measured binding affinities","abbreviation":"BindingDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3b36hk","doi":"10.25504/FAIRsharing.3b36hk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BindingDB enables research by making a growing collection of high-quality, quantitative, protein-ligand binding data findable and usable. Funded by NIGMS/NIH.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19988}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Drug Discovery","Chemistry","Life Science","Computational Chemistry","Medicinal Chemistry"],"domains":["Protein interaction","Drug binding","Drug interaction","Affinity","Protein","Binding site"],"taxonomies":["Not applicable"],"user_defined_tags":["Drug-like compound","Drug Target"],"countries":["United States"],"publications":[{"id":474,"pubmed_id":17145705,"title":"BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities.","year":2006,"url":"http://doi.org/10.1093/nar/gkl999","authors":"Liu T., Lin Y., Wen X., Jorissen RN., Gilson MK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl999","created_at":"2021-09-30T08:23:11.509Z","updated_at":"2021-09-30T08:23:11.509Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Generic (CC BY-NC-ND 2.5)","licence_id":175,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/","link_id":230,"relation":"undefined"}],"grants":[{"id":723,"fairsharing_record_id":1772,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:41.700Z","updated_at":"2021-09-30T09:30:40.442Z","grant_id":815,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"9808318","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":724,"fairsharing_record_id":1772,"organisation_id":218,"relation":"maintains","created_at":"2021-09-30T09:24:41.733Z","updated_at":"2021-09-30T09:24:41.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":218,"name":"BindingDB","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":722,"fairsharing_record_id":1772,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:41.667Z","updated_at":"2021-09-30T09:31:06.918Z","grant_id":1023,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM070064","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1773","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:32.126Z","metadata":{"doi":"10.25504/FAIRsharing.en9npn","name":"The Barcode of Life Data Systems","status":"ready","contacts":[{"contact_name":"Paul D N Hebert","contact_email":"phebert@uoguelph.ca","contact_orcid":"0000-0002-3081-6700"}],"homepage":"https://www.boldsystems.org/","citations":[],"identifier":1773,"description":"The Barcode of Life Data Systems (BOLD) is an online workbench that aids collection, management, analysis, and use of DNA barcodes. It consists of 3 components (MAS, IDS, and ECS) that each address the needs of various groups in the barcoding community.","abbreviation":"BOLD","data_curation":{"type":"automated"},"support_links":[{"url":"info@boldsystems.org","name":"Information Desk","type":"Support email"},{"url":"https://www.boldsystems.org/index.php/resources/boldfaq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.boldsystems.org/index.php/resources/handbook?chapter=1_gettingstarted.html","type":"Help documentation"},{"url":"support@boldsystems.org","name":"Help Desk","type":"Support email"},{"url":"https://www.boldsystems.org/libhtml_v3/static/BOLD4_Documentation_Draft1.pdf","name":"BOLD Print Handbook for BOLD v4","type":"Help documentation"},{"url":"https://www.boldsystems.org/index.php/Resources","name":"BOLD Print Handbook for BOLD v3","type":"Help documentation"},{"url":"https://www.boldsystems.org/index.php/NewsFeed","type":"Blog/News"}],"year_creation":2004,"data_versioning":"no","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010927","name":"re3data:r3d100010927","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004278","name":"SciCrunch:RRID:SCR_004278","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000231","bsg-d000231"],"name":"FAIRsharing record for: The Barcode of Life Data Systems","abbreviation":"BOLD","url":"https://fairsharing.org/10.25504/FAIRsharing.en9npn","doi":"10.25504/FAIRsharing.en9npn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Barcode of Life Data Systems (BOLD) is an online workbench that aids collection, management, analysis, and use of DNA barcodes. It consists of 3 components (MAS, IDS, and ECS) that each address the needs of various groups in the barcoding community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Taxonomy","Biodiversity","Life Science"],"domains":["Taxonomic classification","Nucleic acid sequence","Annotation","Sequence annotation","Deoxyribonucleic acid","Software","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":297,"pubmed_id":18784790,"title":"bold: The Barcode of Life Data System (http://www.barcodinglife.org).","year":2008,"url":"http://doi.org/10.1111/j.1471-8286.2007.01678.x","authors":"Ratnasingham S., Hebert PD.,","journal":"Mol. Ecol. Notes","doi":"10.1111/j.1471-8286.2007.01678.x","created_at":"2021-09-30T08:22:52.015Z","updated_at":"2021-09-30T08:22:52.015Z"}],"licence_links":[],"grants":[{"id":8849,"fairsharing_record_id":1773,"organisation_id":1166,"relation":"collaborates_on","created_at":"2022-02-10T13:33:11.055Z","updated_at":"2022-02-10T13:33:11.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":725,"fairsharing_record_id":1773,"organisation_id":229,"relation":"maintains","created_at":"2021-09-30T09:24:41.766Z","updated_at":"2021-09-30T09:24:41.766Z","grant_id":null,"is_lead":false,"saved_state":{"id":229,"name":"Biodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8850,"fairsharing_record_id":1773,"organisation_id":2614,"relation":"collaborates_on","created_at":"2022-02-10T13:34:06.993Z","updated_at":"2022-02-10T13:34:06.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2614,"name":"Species 2000 Secretariat, Naturalis Biodiversity Center, Leiden, The Netherlands","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":9426,"fairsharing_record_id":1773,"organisation_id":3476,"relation":"undefined","created_at":"2022-04-14T09:36:11.393Z","updated_at":"2022-04-14T09:36:11.393Z","grant_id":null,"is_lead":false,"saved_state":{"id":3476,"name":"International Barcode of Life","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":9427,"fairsharing_record_id":1773,"organisation_id":3478,"relation":"funds","created_at":"2022-04-14T09:36:11.426Z","updated_at":"2022-04-14T09:36:11.426Z","grant_id":null,"is_lead":false,"saved_state":{"id":3478,"name":"Government of Ontario","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9428,"fairsharing_record_id":1773,"organisation_id":3477,"relation":"funds","created_at":"2022-04-14T09:36:11.444Z","updated_at":"2022-04-14T09:36:11.444Z","grant_id":null,"is_lead":false,"saved_state":{"id":3477,"name":"Canada First Research Excellence Fund","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9429,"fairsharing_record_id":1773,"organisation_id":354,"relation":"funds","created_at":"2022-04-14T09:36:11.460Z","updated_at":"2022-04-14T09:36:11.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9430,"fairsharing_record_id":1773,"organisation_id":2101,"relation":"funds","created_at":"2022-04-14T09:36:11.495Z","updated_at":"2022-04-14T09:36:11.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBNZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ea993f71bac039df81cbd12bc1321624f9b791e3/BOLDlogo.png?disposition=inline","exhaustive_licences":false}},{"id":"1774","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-09T09:22:46.718Z","metadata":{"doi":"10.25504/FAIRsharing.gf8yhy","name":"Non-Ribosomal Peptides Database","status":"ready","contacts":[{"contact_name":"Norine team","contact_email":"norine@univ-lille.fr"}],"homepage":"https://norine.univ-lille.fr/norine/","citations":[],"identifier":1774,"description":"Norine is a platform that includes a database of nonribosomal peptides together with tools for their analysis.","abbreviation":"NORINE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"norine@univ-lille.fr","name":"Norine team","type":"Support email"},{"url":"https://bioinfo.cristal.univ-lille.fr/norine/help.jsp","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"url":"https://norine.univ-lille.fr/norine/terms.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://norine.univ-lille.fr/norine/my/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000232","bsg-d000232"],"name":"FAIRsharing record for: Non-Ribosomal Peptides Database","abbreviation":"NORINE","url":"https://fairsharing.org/10.25504/FAIRsharing.gf8yhy","doi":"10.25504/FAIRsharing.gf8yhy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Norine is a platform that includes a database of nonribosomal peptides together with tools for their analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1431,"pubmed_id":17913739,"title":"NORINE: a database of nonribosomal peptides.","year":2007,"url":"http://doi.org/10.1093/nar/gkm792","authors":"Caboche S., Pupin M., Leclère V., Fontaine A., Jacques P., Kucherov G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm792","created_at":"2021-09-30T08:25:00.024Z","updated_at":"2021-09-30T08:25:00.024Z"},{"id":3484,"pubmed_id":null,"title":"Norine: update of the nonribosomal peptide resource","year":2019,"url":"http://academic.oup.com/nar/article/48/D1/D465/5613672","authors":" Areski Flissi, Emma Ricart, Clémentine Campart, Mickael Chevalier, Yoann Dufresne, Juraj Michalik, Philippe Jacques, Christophe Flahaut, Frédérique Lisacek, Valérie Leclère, Maude Pupin","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1000","created_at":"2022-07-21T08:42:51.042Z","updated_at":"2022-07-21T08:42:51.042Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1470,"relation":"undefined"}],"grants":[{"id":726,"fairsharing_record_id":1774,"organisation_id":3602,"relation":"maintains","created_at":"2021-09-30T09:24:41.801Z","updated_at":"2022-07-21T08:46:28.152Z","grant_id":null,"is_lead":true,"saved_state":{"id":3602,"name":"Université de Lille","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1775","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:09:33.418Z","metadata":{"doi":"10.25504/FAIRsharing.hm0s3e","name":"Therapeutically Relevant Multiple Pathways Database","status":"deprecated","contacts":[{"contact_name":"LianYi Han","contact_email":"lyhan@cz3.nus.edu.sg"}],"homepage":"http://bidd.nus.edu.sg/group/trmp/trmp_ns.asp","identifier":1775,"description":"The Therapeutically Relevant Multiple Pathways Database is designed to provide information about such multiple pathways and related therapeutic targets described in the literatures, the targeted disease conditions, and the corresponding drugs/ligands directed at each of these targets. This resource has been marked as Uncertain because its project home can no longer be found either with a general search or on the founding group's website at http://bidd.group/group/about.htm. Please get in touch if you have any information about this resource.","abbreviation":"TRMP","data_curation":{"type":"not found"},"support_links":[{"url":"http://bidd.nus.edu.sg/group/trmp/search.asp#querylang","type":"Help documentation"},{"url":"http://bidd.nus.edu.sg/group/trmp/legend.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000233","bsg-d000233"],"name":"FAIRsharing record for: Therapeutically Relevant Multiple Pathways Database","abbreviation":"TRMP","url":"https://fairsharing.org/10.25504/FAIRsharing.hm0s3e","doi":"10.25504/FAIRsharing.hm0s3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Therapeutically Relevant Multiple Pathways Database is designed to provide information about such multiple pathways and related therapeutic targets described in the literatures, the targeted disease conditions, and the corresponding drugs/ligands directed at each of these targets. This resource has been marked as Uncertain because its project home can no longer be found either with a general search or on the founding group's website at http://bidd.group/group/about.htm. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Disease","Pathway model","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug Target"],"countries":["Singapore"],"publications":[{"id":551,"pubmed_id":15059817,"title":"TRMP: a database of therapeutically relevant multiple pathways.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth233","authors":"Zheng CJ., Zhou H., Xie B., Han LY., Yap CW., Chen YZ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth233","created_at":"2021-09-30T08:23:20.151Z","updated_at":"2021-09-30T08:23:20.151Z"}],"licence_links":[],"grants":[{"id":727,"fairsharing_record_id":1775,"organisation_id":237,"relation":"maintains","created_at":"2021-09-30T09:24:41.822Z","updated_at":"2021-09-30T09:24:41.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":237,"name":"Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1776","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-17T09:09:59.556Z","metadata":{"doi":"10.25504/FAIRsharing.8ye60e","name":"Agile Protein Interactomes Dataserver","status":"ready","contacts":[{"contact_name":"Javier De Las Rivas","contact_email":"jrivas@usal.es","contact_orcid":"0000-0002-0984-9946"},{"contact_name":"Diego Alonso López","contact_email":"diego.alonso@usal.es","contact_orcid":"0000-0003-1015-9923"}],"homepage":"http://apid.dep.usal.es/","citations":[{"doi":"10.1093/nar/gkw363","pubmed_id":27131791,"publication_id":1804}],"identifier":1776,"description":"APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier.","abbreviation":"APID Interactomes","data_curation":{"url":"http://cicblade.dep.usal.es:8080/APID/init.action#subtab2","type":"automated"},"support_links":[{"url":"http://cicblade.dep.usal.es:8080/APID/init.action#tabr4","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012339","name":"re3data:r3d100012339","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008871","name":"SciCrunch:RRID:SCR_008871","portal":"SciCrunch"},{"url":"https://bio.tools/apid","name":"Elixir bio.tools","portal":"Other"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000234","bsg-d000234"],"name":"FAIRsharing record for: Agile Protein Interactomes Dataserver","abbreviation":"APID Interactomes","url":"https://fairsharing.org/10.25504/FAIRsharing.8ye60e","doi":"10.25504/FAIRsharing.8ye60e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein interaction","Interactome","Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1082,"pubmed_id":17644818,"title":"APID2NET: unified interactome graphic analyzer.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm373","authors":"Hernandez-Toro J,Prieto C,De las Rivas J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm373","created_at":"2021-09-30T08:24:19.889Z","updated_at":"2021-09-30T08:24:19.889Z"},{"id":1804,"pubmed_id":27131791,"title":"APID interactomes: providing proteome-based interactomes with controlled quality for multiple species and derived networks.","year":2016,"url":"https://academic.oup.com/nar/article/44/W1/W529/2499348","authors":"Alonso-Lopez D,Gutierrez MA,Lopes KP,Prieto C,Santamaria R,De Las Rivas J","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw363","created_at":"2021-09-30T08:25:42.546Z","updated_at":"2021-09-30T08:25:42.546Z"},{"id":1910,"pubmed_id":16845013,"title":"APID: Agile Protein Interaction DataAnalyzer.","year":2006,"url":"http://doi.org/10.1093/nar/gkl128","authors":"Prieto C., De Las Rivas J.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl128","created_at":"2021-09-30T08:25:54.769Z","updated_at":"2021-09-30T11:29:23.441Z"},{"id":2090,"pubmed_id":30715274,"title":"APID database: redefining protein-protein interaction experimental evidences and binary interactomes.","year":2019,"url":"https://academic.oup.com/database/article/doi/10.1093/database/baz005/5304002","authors":"Alonso-Lopez D,Campos-Laborie FJ,Gutierrez MA,Lambourne L,Calderwood MA,Vidal M,De Las Rivas J","journal":"Database (Oxford)","doi":"10.1093/database/baz005","created_at":"2021-09-30T08:26:15.566Z","updated_at":"2021-09-30T08:26:15.566Z"}],"licence_links":[],"grants":[{"id":731,"fairsharing_record_id":1776,"organisation_id":520,"relation":"maintains","created_at":"2021-09-30T09:24:41.922Z","updated_at":"2024-06-14T08:39:54.261Z","grant_id":null,"is_lead":true,"saved_state":{"id":520,"name":"CIC (Centro de Investigacion del Cancer), Cancer Research Institute of Salamanca CSIC-USAL University, Salamanca, Spain","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":729,"fairsharing_record_id":1776,"organisation_id":894,"relation":"funds","created_at":"2021-09-30T09:24:41.872Z","updated_at":"2021-09-30T09:31:53.261Z","grant_id":1372,"is_lead":false,"saved_state":{"id":894,"name":"EU Joint Programme Neurodegenerative Disease Research","grant":"AC14/00024","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":728,"fairsharing_record_id":1776,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:24:41.849Z","updated_at":"2021-09-30T09:32:30.172Z","grant_id":1649,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PI12/00624","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":730,"fairsharing_record_id":1776,"organisation_id":2416,"relation":"funds","created_at":"2021-09-30T09:24:41.899Z","updated_at":"2021-09-30T09:30:53.907Z","grant_id":924,"is_lead":false,"saved_state":{"id":2416,"name":"Junta de Castilla y León, Regional Government","grant":"BIO/SA68/13","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1625","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-14T07:44:32.062Z","metadata":{"doi":"10.25504/FAIRsharing.y3scf6","name":"Protein Families","status":"deprecated","contacts":[{"contact_name":"Alex Bateman","contact_email":"agb@ebi.ac.uk","contact_orcid":"0000-0002-6982-4660"}],"homepage":"http://pfam.xfam.org/","citations":[{"doi":"10.1093/nar/gky995","pubmed_id":30357350,"publication_id":2380}],"identifier":1625,"description":"The Pfam database is a large collection of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs). Pfam also generates higher-level groupings of related entries, known as clans. A clan is a collection of Pfam entries which are related by similarity of sequence, structure or profile-HMM.","abbreviation":"Pfam","data_curation":{},"support_links":[{"url":"http://xfam.wordpress.com/tag/pfam/","name":"Pfam Blog","type":"Blog/News"},{"url":"pfam-help@ebi.ac.uk","name":"HelpDesk","type":"Support email"},{"url":"http://pfam.xfam.org/help#tabview=tab4","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://pfam.xfam.org/help","name":"Help Pages","type":"Help documentation"},{"url":"pfamlist-subscribe@ebi.ac.uk","type":"Mailing list"},{"url":"http://pfam.xfam.org/about","name":"About","type":"Help documentation"},{"url":"http://pfam.xfam.org/about","name":"About Pfam","type":"Help documentation"},{"url":"http://xfam.wordpress.com/tag/pfam/feed/","name":"RSS Feed","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/bioinformatics-gene-protein-structure-function","name":"Bioinformatics: Gene-protein-structure-function","type":"TeSS links to training materials"},{"url":"http://pfam.xfam.org/help#tabview=tab3","name":"Online Training","type":"Training documentation"},{"url":"https://twitter.com/Xfam_EBI","name":"@Xfam_EBI","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Pfam","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1996,"data_versioning":"not found","associated_tools":[{"url":"http://hmmer.org","name":"HMMER3 v3.2.1"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012850","name":"re3data:r3d100012850","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004726","name":"SciCrunch:RRID:SCR_004726","portal":"SciCrunch"}],"deprecation_date":"2023-06-13","deprecation_reason":"The Pfam website (pfam.xfam.org) is now decomissioned. And all Pfam data is now hosted at InterPro (www.ebi.ac.uk/interpro).","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000081","bsg-d000081"],"name":"FAIRsharing record for: Protein Families","abbreviation":"Pfam","url":"https://fairsharing.org/10.25504/FAIRsharing.y3scf6","doi":"10.25504/FAIRsharing.y3scf6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pfam database is a large collection of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs). Pfam also generates higher-level groupings of related entries, known as clans. A clan is a collection of Pfam entries which are related by similarity of sequence, structure or profile-HMM.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11323},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12156},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12590}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Functional domain","Hidden Markov model","Sequence similarity","Protein domain","Multiple sequence alignment","Computational biological predictions","Function analysis","Proteome","Binding motif","Evolution","Sequence alignment","Protein","Amino acid sequence","Sequence motif","Biocuration"],"taxonomies":["All"],"user_defined_tags":["Evolutionary relationship between proteins via sequence similarity"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":664,"pubmed_id":22127870,"title":"The Pfam protein families database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1065","authors":"Punta M., Coggill PC., Eberhardt RY., Mistry J., Tate J., Boursnell C., Pang N., Forslund K., Ceric G., Clements J., Heger A., Holm L., Sonnhammer EL., Eddy SR., Bateman A., Finn RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1065","created_at":"2021-09-30T08:23:33.296Z","updated_at":"2021-09-30T08:23:33.296Z"},{"id":904,"pubmed_id":33125078,"title":"Pfam: The protein families database in 2021.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa913","authors":"Mistry J,Chuguransky S,Williams L,Qureshi M,Salazar GA,Sonnhammer ELL,Tosatto SCE,Paladin L,Raj S,Richardson LJ,Finn RD,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa913","created_at":"2021-09-30T08:23:59.836Z","updated_at":"2021-09-30T11:28:55.101Z"},{"id":911,"pubmed_id":19920124,"title":"The Pfam protein families database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp985","authors":"Finn RD., Mistry J., Tate J., Coggill P., Heger A., Pollington JE., Gavin OL., Gunasekaran P., Ceric G., Forslund K., Holm L., Sonnhammer EL., Eddy SR., Bateman A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp985","created_at":"2021-09-30T08:24:00.612Z","updated_at":"2021-09-30T08:24:00.612Z"},{"id":1073,"pubmed_id":9223186,"title":"Pfam: a comprehensive database of protein domain families based on seed alignments.","year":1997,"url":"http://doi.org/10.1002/(sici)1097-0134(199707)28:3\u003c405::aid-prot10\u003e3.0.co;2-l","authors":"Sonnhammer EL,Eddy SR,Durbin R","journal":"Proteins","doi":"10.1002/(sici)1097-0134(199707)28:3\u003c405::aid-prot10\u003e3.0.co;2-l","created_at":"2021-09-30T08:24:18.829Z","updated_at":"2021-09-30T08:24:18.829Z"},{"id":2295,"pubmed_id":26673716,"title":"The Pfam protein families database: towards a more sustainable future.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1344","authors":"Finn RD,Coggill P,Eberhardt RY,Eddy SR,Mistry J,Mitchell AL,Potter SC,Punta M,Qureshi M,Sangrador-Vegas A,Salazar GA,Tate J,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1344","created_at":"2021-09-30T08:26:40.209Z","updated_at":"2021-09-30T11:29:32.562Z"},{"id":2296,"pubmed_id":24288371,"title":"Pfam: the protein families database.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1223","authors":"Finn RD,Bateman A,Clements J,Coggill P,Eberhardt RY,Eddy SR,Heger A,Hetherington K,Holm L,Mistry J,Sonnhammer EL,Tate J,Punta M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1223","created_at":"2021-09-30T08:26:40.493Z","updated_at":"2021-09-30T11:29:32.662Z"},{"id":2327,"pubmed_id":18039703,"title":"The Pfam protein families database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm960","authors":"Finn RD,Tate J,Mistry J,Coggill PC,Sammut SJ,Hotz HR,Ceric G,Forslund K,Eddy SR,Sonnhammer EL,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm960","created_at":"2021-09-30T08:26:45.675Z","updated_at":"2021-09-30T11:29:33.119Z"},{"id":2328,"pubmed_id":16381856,"title":"Pfam: clans, web tools and services.","year":2005,"url":"http://doi.org/10.1093/nar/gkj149","authors":"Finn RD,Mistry J,Schuster-Bockler B,Griffiths-Jones S,Hollich V,Lassmann T,Moxon S,Marshall M,Khanna A,Durbin R,Eddy SR,Sonnhammer EL,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj149","created_at":"2021-09-30T08:26:45.841Z","updated_at":"2021-09-30T11:29:33.211Z"},{"id":2380,"pubmed_id":30357350,"title":"The Pfam protein families database in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky995","authors":"El-Gebali S,Mistry J,Bateman A,Eddy SR,Luciani A,Potter SC,Qureshi M,Richardson LJ,Salazar GA,Smart A,Sonnhammer ELL,Hirsh L,Paladin L,Piovesan D,Tosatto SCE,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky995","created_at":"2021-09-30T08:26:52.458Z","updated_at":"2021-09-30T11:29:34.411Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2321,"relation":"undefined"}],"grants":[{"id":260,"fairsharing_record_id":1625,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:24.155Z","updated_at":"2021-09-30T09:24:24.155Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":265,"fairsharing_record_id":1625,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:24.304Z","updated_at":"2021-09-30T09:24:24.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":264,"fairsharing_record_id":1625,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:24.273Z","updated_at":"2021-09-30T09:29:24.346Z","grant_id":234,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"108433/Z/15/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":266,"fairsharing_record_id":1625,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:24.346Z","updated_at":"2021-09-30T09:32:47.048Z","grant_id":1776,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R01-HG009116","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":268,"fairsharing_record_id":1625,"organisation_id":904,"relation":"funds","created_at":"2021-09-30T09:24:24.416Z","updated_at":"2021-09-30T09:28:53.560Z","grant_id":3,"is_lead":false,"saved_state":{"id":904,"name":"EuroKUP COST Action","grant":"BM1405 NGP-net","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7890,"fairsharing_record_id":1625,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:29:29.908Z","updated_at":"2021-09-30T09:29:29.995Z","grant_id":273,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT077044/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":258,"fairsharing_record_id":1625,"organisation_id":2645,"relation":"maintains","created_at":"2021-09-30T09:24:24.074Z","updated_at":"2021-09-30T09:24:24.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":2645,"name":"Stockholm University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":259,"fairsharing_record_id":1625,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:24.112Z","updated_at":"2021-09-30T09:24:24.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":261,"fairsharing_record_id":1625,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:24.192Z","updated_at":"2021-09-30T09:24:24.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":263,"fairsharing_record_id":1625,"organisation_id":727,"relation":"maintains","created_at":"2021-09-30T09:24:24.248Z","updated_at":"2021-09-30T09:24:24.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":727,"name":"Department of Molecular and Cell Biology, Harvard University, Cambridge, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":267,"fairsharing_record_id":1625,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:24:24.384Z","updated_at":"2021-09-30T09:29:33.353Z","grant_id":298,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654039","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":262,"fairsharing_record_id":1625,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:24.224Z","updated_at":"2021-09-30T09:31:59.317Z","grant_id":1418,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024136/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZzhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--65b6671d262ed136262c52601f18a4e5abf2bffa/pfam_logo_large.png?disposition=inline","exhaustive_licences":false}},{"id":"1626","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:10:42.001Z","metadata":{"doi":"10.25504/FAIRsharing.bp5hpt","name":"Phenomics of yeast Mutants","status":"deprecated","contacts":[{"contact_name":"Brenda Andrews","contact_email":"brenda.andrews@utoronto.ca"}],"homepage":"http://phenom.ccbr.utoronto.ca/","citations":[],"identifier":1626,"description":"PhenoM (Phenomics of yeast Mutants) stores, retrieves, visualises and data mines the quantitative single-cell measurements extracted from micrographs of temperature-sensitive mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations.","abbreviation":"PhenoM","data_curation":{"type":"manual"},"support_links":[{"url":"http://phenom.ccbr.utoronto.ca/help.jsp","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012722","name":"re3data:r3d100012722","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006970","name":"SciCrunch:RRID:SCR_006970","portal":"SciCrunch"}],"deprecation_date":"2022-07-13","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000082","bsg-d000082"],"name":"FAIRsharing record for: Phenomics of yeast Mutants","abbreviation":"PhenoM","url":"https://fairsharing.org/10.25504/FAIRsharing.bp5hpt","doi":"10.25504/FAIRsharing.bp5hpt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhenoM (Phenomics of yeast Mutants) stores, retrieves, visualises and data mines the quantitative single-cell measurements extracted from micrographs of temperature-sensitive mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Mining","Life Science"],"domains":["Gene Ontology enrichment","Image","Mutation","Phenotype","Morphology","Gene"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":130,"pubmed_id":21441928,"title":"Systematic exploration of essential yeast gene function with temperature-sensitive mutants.","year":2011,"url":"http://doi.org/10.1038/nbt.1832","authors":"Li Z., Vizeacoumar FJ., Bahr S., Li J., Warringer J., Vizeacoumar FS., Min R., Vandersluis B., Bellay J., Devit M., Fleming JA., Stephens A., Haase J., Lin ZY., Baryshnikova A., Lu H., Yan Z., Jin K., Barker S., Datti A., Giaever G., Nislow C., Bulawa C., Myers CL., Costanzo M., Gingras AC., Zhang Z., Blomberg A., Bloom K., Andrews B., Boone C.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt.1832","created_at":"2021-09-30T08:22:34.247Z","updated_at":"2021-09-30T08:22:34.247Z"},{"id":1576,"pubmed_id":22009677,"title":"PhenoM: a database of morphological phenotypes caused by mutation of essential genes in Saccharomyces cerevisiae.","year":2011,"url":"http://doi.org/10.1093/nar/gkr827","authors":"Jin K,Li J,Vizeacoumar FS,Li Z,Min R,Zamparo L,Vizeacoumar FJ,Datti A,Andrews B,Boone C,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr827","created_at":"2021-09-30T08:25:16.676Z","updated_at":"2021-09-30T11:29:14.311Z"}],"licence_links":[],"grants":[{"id":269,"fairsharing_record_id":1626,"organisation_id":164,"relation":"maintains","created_at":"2021-09-30T09:24:24.459Z","updated_at":"2021-09-30T09:24:24.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":164,"name":"Banting and Best Department of Medical Research, The Donnelly Centre, University of Toronto, Ontario, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":271,"fairsharing_record_id":1626,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:24.555Z","updated_at":"2021-09-30T09:29:13.078Z","grant_id":143,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","grant":"MOP-97939","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":270,"fairsharing_record_id":1626,"organisation_id":2245,"relation":"funds","created_at":"2021-09-30T09:24:24.512Z","updated_at":"2021-09-30T09:29:04.217Z","grant_id":79,"is_lead":false,"saved_state":{"id":2245,"name":"Ontario Genomics, Toronto, ON, Canada","grant":"2004-OGI-3-01","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1628","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:23.635Z","metadata":{"doi":"10.25504/FAIRsharing.jskz3k","name":"Plantmetabolomics.org","status":"deprecated","homepage":"http://www.plantmetabolomics.org","identifier":1628,"description":"Arabidopsis metabolomics database which provides researchers with resources to investigate the function of genes and metabolites.","abbreviation":"Plantmetabolomics.org","data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000084","bsg-d000084"],"name":"FAIRsharing record for: Plantmetabolomics.org","abbreviation":"Plantmetabolomics.org","url":"https://fairsharing.org/10.25504/FAIRsharing.jskz3k","doi":"10.25504/FAIRsharing.jskz3k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Arabidopsis metabolomics database which provides researchers with resources to investigate the function of genes and metabolites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Mass spectrum","Image","Stereo microscope"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1395,"pubmed_id":20147492,"title":"PlantMetabolomics.org: a web portal for plant metabolomics experiments.","year":2010,"url":"http://doi.org/10.1104/pp.109.151027","authors":"Bais P., Moon SM., He K., Leitao R., Dreher K., Walk T., Sucaet Y., Barkan L., Wohlgemuth G., Roth MR., Wurtele ES., Dixon P., Fiehn O., Lange BM., Shulaev V., Sumner LW., Welti R., Nikolau BJ., Rhee SY., Dickerson JA.,","journal":"Plant Physiol.","doi":"10.1104/pp.109.151027","created_at":"2021-09-30T08:24:55.968Z","updated_at":"2021-09-30T08:24:55.968Z"}],"licence_links":[],"grants":[{"id":278,"fairsharing_record_id":1628,"organisation_id":235,"relation":"maintains","created_at":"2021-09-30T09:24:24.838Z","updated_at":"2021-09-30T09:24:24.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":235,"name":"Bioinformatics and Computational Biology Program, Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology (BBMB), Iowa State University, Ames, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":279,"fairsharing_record_id":1628,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:24.876Z","updated_at":"2021-09-30T09:32:25.462Z","grant_id":1613,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB 08200823","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1629","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:27:24.671Z","metadata":{"doi":"10.25504/FAIRsharing.rn1pxg","name":"Plant Natural Antisense Transcripts Database","status":"deprecated","contacts":[{"contact_name":"Ling-Ling Chen","contact_email":"llchen@mail.hzau.edu.cn"}],"homepage":"http://bis.zju.edu.cn/pnatdb/","identifier":1629,"description":"Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs.","abbreviation":"PlantNATsDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://bis.zju.edu.cn/pnatdb/document/","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000085","bsg-d000085"],"name":"FAIRsharing record for: Plant Natural Antisense Transcripts Database","abbreviation":"PlantNATsDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rn1pxg","doi":"10.25504/FAIRsharing.rn1pxg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene name","DNA sequence data","Gene model annotation","Molecular function","Cellular component","Biological process","Untranslated RNA","Transcript"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":702,"pubmed_id":22058132,"title":"PlantNATsDB: a comprehensive database of plant natural antisense transcripts","year":2011,"url":"http://doi.org/10.1093/nar/gkr823","authors":"Dijun Chen, Chunhui Yuan, Jian Zhang, Zhao Zhang, Lin Bai, Yijun Meng, Ling-Ling Chen, and Ming Chen","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr823","created_at":"2021-09-30T08:23:37.386Z","updated_at":"2021-09-30T08:23:37.386Z"}],"licence_links":[],"grants":[{"id":281,"fairsharing_record_id":1629,"organisation_id":1843,"relation":"maintains","created_at":"2021-09-30T09:24:24.932Z","updated_at":"2021-09-30T09:24:24.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":1843,"name":"Ming Chen's Lab, Zhejiang University, Hangzhou, China","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":284,"fairsharing_record_id":1629,"organisation_id":2365,"relation":"funds","created_at":"2021-09-30T09:24:25.030Z","updated_at":"2021-09-30T09:32:23.337Z","grant_id":1597,"is_lead":false,"saved_state":{"id":2365,"name":"Program for New Century Excellent Talents in University of China","grant":"NCET-07-0740","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8093,"fairsharing_record_id":1629,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:53.372Z","updated_at":"2021-09-30T09:30:53.430Z","grant_id":920,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31071659","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8275,"fairsharing_record_id":1629,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:52.207Z","updated_at":"2021-09-30T09:31:52.249Z","grant_id":1364,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30971743","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9023,"fairsharing_record_id":1629,"organisation_id":1872,"relation":"funds","created_at":"2022-03-24T14:23:07.598Z","updated_at":"2022-03-24T14:23:07.598Z","grant_id":947,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009DFA32030","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":280,"fairsharing_record_id":1629,"organisation_id":1271,"relation":"funds","created_at":"2021-09-30T09:24:24.908Z","updated_at":"2021-09-30T09:30:49.872Z","grant_id":891,"is_lead":false,"saved_state":{"id":1271,"name":"Huazhong Agricultural University, China","grant":"2010SC07","types":["University"],"is_lead":false,"relation":"funds"}},{"id":282,"fairsharing_record_id":1629,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:24.958Z","updated_at":"2021-09-30T09:30:10.306Z","grant_id":583,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31050110121","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1630","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:02:02.425Z","metadata":{"doi":"10.25504/FAIRsharing.8pjgwx","name":"PLEXdb","status":"deprecated","contacts":[{"contact_name":"Julie A Dickerson","contact_email":"julied@iastate.edu"}],"homepage":"http://www.plexdb.org/","identifier":1630,"description":"PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data.","abbreviation":"PLEXdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.plexdb.org/modules/PD_general/feedback.php","type":"Contact form"},{"url":"http://www.plexdb.org/modules/documentation/FAQs.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"http://www.plexdb.org/modules/glSuite/gl_main.php","name":"Gene List Suite"},{"url":"http://www.plexdb.org/modules/tools/genoscope/genoscope.php","name":"Gene OscilloScope"},{"url":"http://www.plexdb.org/modules/tools/plexdb_blast.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000086","bsg-d000086"],"name":"FAIRsharing record for: PLEXdb","abbreviation":"PLEXdb","url":"https://fairsharing.org/10.25504/FAIRsharing.8pjgwx","doi":"10.25504/FAIRsharing.8pjgwx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12591}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Gene"],"taxonomies":["Fungi","Nematoda","Oomycetes","Sinorhizobium meliloti","Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1848,"pubmed_id":18287702,"title":"BarleyBase/PLEXdb.","year":2008,"url":"http://doi.org/10.1007/978-1-59745-535-0_17","authors":"Wise RP., Caldo RA., Hong L., Shen L., Cannon E., Dickerson JA.,","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-59745-535-0_17","created_at":"2021-09-30T08:25:47.581Z","updated_at":"2021-09-30T08:25:47.581Z"},{"id":1849,"pubmed_id":22084198,"title":"PLEXdb: gene expression resources for plants and plant pathogens.","year":2011,"url":"http://doi.org/10.1093/nar/gkr938","authors":"Dash S,Van Hemert J,Hong L,Wise RP,Dickerson JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr938","created_at":"2021-09-30T08:25:47.732Z","updated_at":"2021-09-30T11:29:21.460Z"}],"licence_links":[],"grants":[{"id":285,"fairsharing_record_id":1630,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:25.067Z","updated_at":"2021-09-30T09:24:25.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":286,"fairsharing_record_id":1630,"organisation_id":2932,"relation":"maintains","created_at":"2021-09-30T09:24:25.105Z","updated_at":"2021-09-30T09:24:25.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":287,"fairsharing_record_id":1630,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:24:25.183Z","updated_at":"2021-09-30T09:24:25.183Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1631","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:53:16.869Z","metadata":{"doi":"10.25504/FAIRsharing.tc6df8","name":"Pocketome: an encyclopedia of small-molecule binding sites in 4D","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"pocketome@ucsd.edu"}],"homepage":"http://pocketome.org","citations":[],"identifier":1631,"description":"The Pocketome is an encyclopedia of conformational ensembles of druggable binding sites that can be identified experimentally from co-crystal structures in the Protein Data Bank. Each Pocketome entry describes a site on a protein surface that is involved in transient interactions with small molecules and peptides.","abbreviation":"Pocketome","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://www.molsoft.com/activeicm.html","name":"ActiveICM technology"}],"deprecation_date":"2021-11-03","deprecation_reason":"This resource was deprecated because the homepage is no longer functional and a new site for the resource could not be found. Please get in touch with us if you have any information about this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000087","bsg-d000087"],"name":"FAIRsharing record for: Pocketome: an encyclopedia of small-molecule binding sites in 4D","abbreviation":"Pocketome","url":"https://fairsharing.org/10.25504/FAIRsharing.tc6df8","doi":"10.25504/FAIRsharing.tc6df8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pocketome is an encyclopedia of conformational ensembles of druggable binding sites that can be identified experimentally from co-crystal structures in the Protein Data Bank. Each Pocketome entry describes a site on a protein surface that is involved in transient interactions with small molecules and peptides.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Small molecule","Structure","Binding site","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1449,"pubmed_id":22080553,"title":"Pocketome: an encyclopedia of small-molecule binding sites in 4D.","year":2011,"url":"http://doi.org/10.1093/nar/gkr825","authors":"Kufareva I,Ilatovskiy AV,Abagyan R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr825","created_at":"2021-09-30T08:25:01.966Z","updated_at":"2021-09-30T11:29:08.517Z"},{"id":2238,"pubmed_id":19727619,"title":"The flexible pocketome engine for structural chemogenomics.","year":2009,"url":"http://doi.org/10.1007/978-1-60761-274-2_11","authors":"Abagyan R., Kufareva I.,","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-60761-274-2_11","created_at":"2021-09-30T08:26:32.242Z","updated_at":"2021-09-30T08:26:32.242Z"}],"licence_links":[],"grants":[{"id":8007,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:21.665Z","updated_at":"2021-09-30T09:30:21.704Z","grant_id":675,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"RC2 LM010994","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8064,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:44.437Z","updated_at":"2021-09-30T09:30:44.483Z","grant_id":847,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM071872","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":289,"fairsharing_record_id":1631,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:25.267Z","updated_at":"2021-09-30T09:24:25.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":290,"fairsharing_record_id":1631,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:24:25.294Z","updated_at":"2021-09-30T09:24:25.294Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":291,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:25.330Z","updated_at":"2021-09-30T09:30:08.130Z","grant_id":566,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 GM094618","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8330,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:07.653Z","updated_at":"2021-09-30T09:32:07.732Z","grant_id":1481,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 GM094612","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1633","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:06.313Z","metadata":{"doi":"10.25504/FAIRsharing.4bt49f","name":"Polymorphism in microRNAs and their TargetSites","status":"ready","contacts":[{"contact_name":"Yan Cui","contact_email":"ycui2@uthsc.edu"}],"homepage":"http://compbio.uthsc.edu/miRSNP/","identifier":1633,"description":"PolymiRTS (Polymorphism in microRNAs and their TargetSites) is a database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression.","abbreviation":"PolymiRTS","data_curation":{"url":"https://compbio.uthsc.edu/miRSNP/","type":"manual"},"support_links":[{"url":"http://compbio.uthsc.edu/miRSNP/help.php","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/PolymiRTS","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"http://compbio.uthsc.edu/miRSNP/batchsearch.php","name":"Batch Search"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000089","bsg-d000089"],"name":"FAIRsharing record for: Polymorphism in microRNAs and their TargetSites","abbreviation":"PolymiRTS","url":"https://fairsharing.org/10.25504/FAIRsharing.4bt49f","doi":"10.25504/FAIRsharing.4bt49f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PolymiRTS (Polymorphism in microRNAs and their TargetSites) is a database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene silencing by miRNA (microRNA)","Genetic polymorphism","Micro RNA"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1257,"pubmed_id":17099235,"title":"PolymiRTS Database: linking polymorphisms in microRNA target sites with complex traits.","year":2006,"url":"http://doi.org/10.1093/nar/gkl797","authors":"Bao L., Zhou M., Wu L., Lu L., Goldowitz D., Williams RW., Cui Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl797","created_at":"2021-09-30T08:24:40.250Z","updated_at":"2021-09-30T08:24:40.250Z"},{"id":1261,"pubmed_id":24163105,"title":"PolymiRTS Database 3.0: linking polymorphisms in microRNAs and their target sites with human diseases and biological pathways.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1028","authors":"Bhattacharya A,Ziebarth JD,Cui Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1028","created_at":"2021-09-30T08:24:40.700Z","updated_at":"2021-09-30T11:29:04.342Z"},{"id":1879,"pubmed_id":22080514,"title":"PolymiRTS Database 2.0: linking polymorphisms in microRNA target sites with human diseases and complex traits.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1026","authors":"Ziebarth JD,Bhattacharya A,Chen A,Cui Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1026","created_at":"2021-09-30T08:25:51.345Z","updated_at":"2021-09-30T11:29:21.860Z"}],"licence_links":[],"grants":[{"id":299,"fairsharing_record_id":1633,"organisation_id":3269,"relation":"maintains","created_at":"2021-09-30T09:24:25.791Z","updated_at":"2021-09-30T09:24:25.791Z","grant_id":null,"is_lead":false,"saved_state":{"id":3269,"name":"Yan Cui's Lab, University of Tennessee Health Science Center, Memphis, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":296,"fairsharing_record_id":1633,"organisation_id":77,"relation":"funds","created_at":"2021-09-30T09:24:25.714Z","updated_at":"2021-09-30T09:32:01.670Z","grant_id":1434,"is_lead":false,"saved_state":{"id":77,"name":"American Heart Association, USA","grant":"0830134N","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8220,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:36.856Z","updated_at":"2021-09-30T09:31:36.908Z","grant_id":1249,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"DA021131","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8453,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:42.510Z","updated_at":"2021-09-30T09:32:42.552Z","grant_id":1742,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"AI081050","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":294,"fairsharing_record_id":1633,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:24:25.648Z","updated_at":"2021-09-30T09:24:25.648Z","grant_id":null,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":295,"fairsharing_record_id":1633,"organisation_id":77,"relation":"maintains","created_at":"2021-09-30T09:24:25.686Z","updated_at":"2021-09-30T09:24:25.686Z","grant_id":null,"is_lead":false,"saved_state":{"id":77,"name":"American Heart Association, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":297,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:25.742Z","updated_at":"2021-09-30T09:29:32.361Z","grant_id":290,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"AA014425","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":298,"fairsharing_record_id":1633,"organisation_id":3166,"relation":"funds","created_at":"2021-09-30T09:24:25.765Z","updated_at":"2021-09-30T09:29:38.802Z","grant_id":341,"is_lead":false,"saved_state":{"id":3166,"name":"U.S. Department of Defense","grant":"W81XHW-05-01-0227","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8030,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:30.768Z","updated_at":"2021-09-30T09:30:30.849Z","grant_id":742,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"AI019782","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8198,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:28.347Z","updated_at":"2021-09-30T09:31:28.396Z","grant_id":1184,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"NR009270","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8252,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:45.173Z","updated_at":"2021-09-30T09:31:45.223Z","grant_id":1311,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HD052472","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1645","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T11:03:34.411Z","metadata":{"doi":"10.25504/FAIRsharing.hsbpq3","name":"Simple Modular Architecture Research Tool","status":"ready","contacts":[{"contact_name":"SMART Helpdesk","contact_email":"smart@embl.de"}],"homepage":"http://smart.embl.de","identifier":1645,"description":"SMART (Simple Modular Architecture Research Tool) is a web resource providing simple identification and extensive annotation of protein domains and the exploration of protein domain architectures. It allows the identification and annotation of genetically mobile domains and the analysis of domain architectures. More than 500 domain families found in signalling, extracellular and chromatin-associated proteins are detectable. These domains are extensively annotated with respect to phyletic distributions, functional class, tertiary structures and functionally important residues. Each domain found in a non-redundant protein database as well as search parameters and taxonomic information are stored in a relational database system. User interfaces to this database allow searches for proteins containing specific combinations of domains in defined taxa.","abbreviation":"SMART","data_curation":{"type":"none"},"support_links":[{"url":"http://smart.embl.de/help/feedback.shtml","name":"Contact Form","type":"Contact form"},{"url":"http://smart.embl.de/help/FAQ.shtml","name":"SMART FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://smart.embl.de/help/smart_glossary.shtml","name":"Glossary","type":"Help documentation"},{"url":"http://smart.embl.de/help/smart_about.shtml","name":"About SMART","type":"Help documentation"},{"url":"http://smart.embl.de/help/latest.shtml","name":"What's New","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","associated_tools":[{"url":"http://smart.embl.de/smart/batch.pl","name":"Batch Access Script (Perl)"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000101","bsg-d000101"],"name":"FAIRsharing record for: Simple Modular Architecture Research Tool","abbreviation":"SMART","url":"https://fairsharing.org/10.25504/FAIRsharing.hsbpq3","doi":"10.25504/FAIRsharing.hsbpq3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SMART (Simple Modular Architecture Research Tool) is a web resource providing simple identification and extensive annotation of protein domains and the exploration of protein domain architectures. It allows the identification and annotation of genetically mobile domains and the analysis of domain architectures. More than 500 domain families found in signalling, extracellular and chromatin-associated proteins are detectable. These domains are extensively annotated with respect to phyletic distributions, functional class, tertiary structures and functionally important residues. Each domain found in a non-redundant protein database as well as search parameters and taxonomic information are stored in a relational database system. User interfaces to this database allow searches for proteins containing specific combinations of domains in defined taxa.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12594}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Hidden Markov model","Protein domain","Multiple sequence alignment","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1097,"pubmed_id":22053084,"title":"SMART 7: recent updates to the protein domain annotation resource.","year":2011,"url":"http://doi.org/10.1093/nar/gkr931","authors":"Letunic I,Doerks T,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr931","created_at":"2021-09-30T08:24:21.457Z","updated_at":"2021-09-30T11:28:58.485Z"},{"id":1876,"pubmed_id":10361098,"title":"Protein families in multicellular organisms.","year":1999,"url":"http://doi.org/10.1016/S0959-440X(99)80055-4","authors":"Copley RR,Schultz J,Ponting CP,Bork P","journal":"Curr Opin Struct Biol","doi":"10.1016/S0959-440X(99)80055-4","created_at":"2021-09-30T08:25:51.023Z","updated_at":"2021-09-30T08:25:51.023Z"},{"id":1893,"pubmed_id":18978020,"title":"SMART 6: recent updates and new developments.","year":2008,"url":"http://doi.org/10.1093/nar/gkn808","authors":"Letunic I,Doerks T,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn808","created_at":"2021-09-30T08:25:52.952Z","updated_at":"2021-09-30T11:29:22.152Z"},{"id":1900,"pubmed_id":16381859,"title":"SMART 5: domains in the context of genomes and networks.","year":2005,"url":"http://doi.org/10.1093/nar/gkj079","authors":"Letunic I,Copley RR,Pils B,Pinkert S,Schultz J,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj079","created_at":"2021-09-30T08:25:53.695Z","updated_at":"2021-09-30T11:29:22.544Z"},{"id":1901,"pubmed_id":14681379,"title":"SMART 4.0: towards genomic data integration.","year":2003,"url":"http://doi.org/10.1093/nar/gkh088","authors":"Letunic I,Copley RR,Schmidt S,Ciccarelli FD,Doerks T,Schultz J,Ponting CP,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh088","created_at":"2021-09-30T08:25:53.794Z","updated_at":"2021-09-30T11:29:22.635Z"},{"id":1902,"pubmed_id":10592234,"title":"SMART: a web-based tool for the study of genetically mobile domains.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.231","authors":"Schultz J,Copley RR,Doerks T,Ponting CP,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.231","created_at":"2021-09-30T08:25:53.893Z","updated_at":"2021-09-30T11:29:22.737Z"},{"id":1903,"pubmed_id":9847187,"title":"SMART: identification and annotation of domains from signalling and extracellular protein sequences.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.229","authors":"Ponting CP,Schultz J,Milpetz F,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/27.1.229","created_at":"2021-09-30T08:25:53.993Z","updated_at":"2021-09-30T11:29:22.853Z"},{"id":1904,"pubmed_id":11752305,"title":"Recent improvements to the SMART domain-based sequence annotation resource.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.242","authors":"Letunic I,Goodstadt L,Dickens NJ,Doerks T,Schultz J,Mott R,Ciccarelli F,Copley RR,Ponting CP,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.242","created_at":"2021-09-30T08:25:54.102Z","updated_at":"2021-09-30T11:29:22.944Z"},{"id":2234,"pubmed_id":29040681,"title":"20 years of the SMART protein domain annotation resource.","year":2017,"url":"http://doi.org/10.1093/nar/gkx922","authors":"Letunic I,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx922","created_at":"2021-09-30T08:26:31.755Z","updated_at":"2021-09-30T11:29:31.379Z"},{"id":2261,"pubmed_id":25300481,"title":"SMART: recent updates, new developments and status in 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku949","authors":"Letunic I,Doerks T,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku949","created_at":"2021-09-30T08:26:35.056Z","updated_at":"2021-09-30T11:29:31.961Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":763,"relation":"undefined"}],"grants":[{"id":330,"fairsharing_record_id":1645,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:26.965Z","updated_at":"2021-09-30T09:24:26.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":331,"fairsharing_record_id":1645,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:27.007Z","updated_at":"2021-09-30T09:24:27.007Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":332,"fairsharing_record_id":1645,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:27.105Z","updated_at":"2021-09-30T09:24:27.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":329,"fairsharing_record_id":1645,"organisation_id":931,"relation":"funds","created_at":"2021-09-30T09:24:26.935Z","updated_at":"2021-09-30T09:31:57.798Z","grant_id":1407,"is_lead":false,"saved_state":{"id":931,"name":"European FP7 capacities: Scientific Data Repositories","grant":"213037","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1646","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:34.868Z","metadata":{"doi":"10.25504/FAIRsharing.qbt1gh","name":"SNPeffect","status":"ready","contacts":[{"contact_name":"Frederic Rousseau","contact_email":"frederic.rousseau@vub.ac.be"}],"homepage":"http://snpeffect.switchlab.org","citations":[],"identifier":1646,"description":"SNPeffect is a database for phenotyping human single nucleotide polymorphisms (SNPs). SNPeffect primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification.","abbreviation":"SNPeffect","data_curation":{"type":"automated"},"support_links":[{"url":"http://snpeffect.switchlab.org/contact","type":"Contact form"},{"url":"http://snpeffect.switchlab.org/help","type":"Help documentation"},{"url":"http://snpeffect.switchlab.org/about","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://snpeffect.switchlab.org/meta_analysis","name":"Meta analysis: large scale mining and visualization of SNPeffect data"},{"url":"http://snpeffect.switchlab.org/snpeffect_jobs","name":"Phenotypic analysis of custom single protein variants"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://snpeffect.switchlab.org/snpeffect_jobs","type":"controlled","notes":"You have to register or login to access this page."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000102","bsg-d000102"],"name":"FAIRsharing record for: SNPeffect","abbreviation":"SNPeffect","url":"https://fairsharing.org/10.25504/FAIRsharing.qbt1gh","doi":"10.25504/FAIRsharing.qbt1gh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SNPeffect is a database for phenotyping human single nucleotide polymorphisms (SNPs). SNPeffect primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene Ontology enrichment","Chaperone binding","Mutation analysis","Phenotype","Disease","Structure","Single nucleotide polymorphism","Amino acid sequence"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Free energy prediction","Protein aggregation"],"countries":["Belgium"],"publications":[{"id":1172,"pubmed_id":22075996,"title":"SNPeffect 4.0: on-line prediction of molecular and structural effects of protein-coding variants.","year":2011,"url":"http://doi.org/10.1093/nar/gkr996","authors":"De Baets G,Van Durme J,Reumers J,Maurer-Stroh S,Vanhee P,Dopazo J,Schymkowitz J,Rousseau F","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr996","created_at":"2021-09-30T08:24:30.280Z","updated_at":"2021-09-30T11:29:01.892Z"},{"id":1477,"pubmed_id":15608254,"title":"SNPeffect: a database mapping molecular phenotypic effects of human non-synonymous coding SNPs.","year":2004,"url":"http://doi.org/10.1093/nar/gki086","authors":"Reumers J., Schymkowitz J., Ferkinghoff-Borg J., Stricher F., Serrano L., Rousseau F.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki086","created_at":"2021-09-30T08:25:05.344Z","updated_at":"2021-09-30T08:25:05.344Z"},{"id":1478,"pubmed_id":16809394,"title":"SNPeffect v2.0: a new step in investigating the molecular phenotypic effects of human non-synonymous SNPs.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl348","authors":"Reumers J., Maurer-Stroh S., Schymkowitz J., Rousseau F.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl348","created_at":"2021-09-30T08:25:05.452Z","updated_at":"2021-09-30T08:25:05.452Z"},{"id":1479,"pubmed_id":18086700,"title":"Joint annotation of coding and non-coding single nucleotide polymorphisms and mutations in the SNPeffect and PupaSuite databases.","year":2007,"url":"http://doi.org/10.1093/nar/gkm979","authors":"Reumers J., Conde L., Medina I., Maurer-Stroh S., Van Durme J., Dopazo J., Rousseau F., Schymkowitz J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm979","created_at":"2021-09-30T08:25:05.611Z","updated_at":"2021-09-30T08:25:05.611Z"}],"licence_links":[],"grants":[{"id":9018,"fairsharing_record_id":1646,"organisation_id":198,"relation":"funds","created_at":"2022-03-24T10:46:16.653Z","updated_at":"2022-03-24T10:46:16.653Z","grant_id":281,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","grant":"IUAP P6/43","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":334,"fairsharing_record_id":1646,"organisation_id":2690,"relation":"maintains","created_at":"2021-09-30T09:24:27.243Z","updated_at":"2021-09-30T09:24:27.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2690,"name":"Switch Laboratory","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1647","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:46:54.947Z","metadata":{"doi":"10.25504/FAIRsharing.ja9cdq","name":"Statistical Torsional Angles Potentials of NMR Refinement Database","status":"deprecated","contacts":[{"contact_name":"Jinhyuk Lee","contact_email":"jinhyuk@kribb.re.kr"}],"homepage":"http://psb.kobic.re.kr/stap/refinement/","identifier":1647,"description":"The STAP database contains refined versions of the NMR structures deposited in PDB. These refinements have been performed using statistical torsion angle potential and structurally- or experimentally- derived distance potential. The refined structures have a significantly improved structural quality compared to their initial NMR structure.","abbreviation":"STAP","data_curation":{"type":"not found"},"support_links":[{"url":"webmaster@kobic.kr","type":"Support email"},{"url":"http://psb.kobic.re.kr/stap/refinement/help.php","type":"Help documentation"},{"url":"http://psb.kobic.re.kr/stap/refinement/method.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000103","bsg-d000103"],"name":"FAIRsharing record for: Statistical Torsional Angles Potentials of NMR Refinement Database","abbreviation":"STAP","url":"https://fairsharing.org/10.25504/FAIRsharing.ja9cdq","doi":"10.25504/FAIRsharing.ja9cdq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The STAP database contains refined versions of the NMR structures deposited in PDB. These refinements have been performed using statistical torsion angle potential and structurally- or experimentally- derived distance potential. The refined structures have a significantly improved structural quality compared to their initial NMR structure.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12595}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Statistics","Life Science"],"domains":["Protein structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":1557,"pubmed_id":22102572,"title":"STAP Refinement of the NMR database: a database of 2405 refined solution NMR structures.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1021","authors":"Yang JS,Kim JH,Oh S,Han G,Lee S,Lee J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1021","created_at":"2021-09-30T08:25:14.649Z","updated_at":"2021-09-30T11:29:13.910Z"},{"id":1558,"pubmed_id":23408564,"title":"Statistical torsion angle potential energy functions for protein structure modeling: a bicubic interpolation approach.","year":2013,"url":"http://doi.org/10.1002/prot.24265","authors":"Kim TR,Yang JS,Shin S,Lee J","journal":"Proteins","doi":"10.1002/prot.24265","created_at":"2021-09-30T08:25:14.751Z","updated_at":"2021-09-30T08:25:14.751Z"},{"id":1559,"pubmed_id":25279564,"title":"Protein NMR structures refined without NOE data.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0108888","authors":"Ryu H,Kim TR,Ahn S,Ji S,Lee J","journal":"PLoS One","doi":"10.1371/journal.pone.0108888","created_at":"2021-09-30T08:25:14.862Z","updated_at":"2021-09-30T08:25:14.862Z"},{"id":1560,"pubmed_id":26504145,"title":"NMRe: a web server for NMR protein structure refinement with high-quality structure validation scores.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv595","authors":"Ryu H,Lim G,Sung BH,Lee J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv595","created_at":"2021-09-30T08:25:14.970Z","updated_at":"2021-09-30T08:25:14.970Z"}],"licence_links":[],"grants":[{"id":335,"fairsharing_record_id":1647,"organisation_id":1875,"relation":"funds","created_at":"2021-09-30T09:24:27.392Z","updated_at":"2021-09-30T09:30:04.806Z","grant_id":541,"is_lead":false,"saved_state":{"id":1875,"name":"Ministry of Science, ICT and Future Planning, Gwacheon, Korea","grant":"20110002321","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":336,"fairsharing_record_id":1647,"organisation_id":1646,"relation":"maintains","created_at":"2021-09-30T09:24:27.450Z","updated_at":"2021-09-30T09:24:27.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":1646,"name":"Korean Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8483,"fairsharing_record_id":1647,"organisation_id":1875,"relation":"funds","created_at":"2021-09-30T09:32:51.019Z","updated_at":"2021-09-30T09:32:51.079Z","grant_id":1805,"is_lead":false,"saved_state":{"id":1875,"name":"Ministry of Science, ICT and Future Planning, Gwacheon, Korea","grant":"20110019747","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1634","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:25.656Z","metadata":{"doi":"10.25504/FAIRsharing.3jp2e5","name":"Prokaryotic Glycoproteins Database","status":"deprecated","contacts":[{"contact_name":"Alka Rao","contact_email":"raoalka@imtech.res.in"}],"homepage":"http://crdd.osdd.net/raghava/proglycprot","identifier":1634,"description":"ProGlycProt (Prokaryotic Glycoproteins) is a manually curated, comprehensive repository of experimentally characterized eubacterial and archaeal glycoproteins, generated from an exhaustive literature search. This is the focused beginning of an effort to provide concise relevant information derived from rapidly expanding literature on prokaryotic glycoproteins, their glycosylating enzyme(s), glycosylation linked genes, and genomic context thereof, in a cross-referenced manner.","abbreviation":"ProGlycProt","data_curation":{"type":"not found"},"support_links":[{"url":"http://crdd.osdd.net/raghava/proglycprot/help.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/ProGlycProt","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://crdd.osdd.net/raghava/proglycprot/Mapsequon.php","name":"Map Sequon"},{"url":"http://crdd.osdd.net/raghava/proglycprot/glyseq_extractor.php","name":"Glyseq Extractor"},{"url":"http://crdd.osdd.net/raghava/proglycprot/blast.html","name":"Blast"}],"deprecation_date":"2021-05-27","deprecation_reason":"This resource is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000090","bsg-d000090"],"name":"FAIRsharing record for: Prokaryotic Glycoproteins Database","abbreviation":"ProGlycProt","url":"https://fairsharing.org/10.25504/FAIRsharing.3jp2e5","doi":"10.25504/FAIRsharing.3jp2e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProGlycProt (Prokaryotic Glycoproteins) is a manually curated, comprehensive repository of experimentally characterized eubacterial and archaeal glycoproteins, generated from an exhaustive literature search. This is the focused beginning of an effort to provide concise relevant information derived from rapidly expanding literature on prokaryotic glycoproteins, their glycosylating enzyme(s), glycosylation linked genes, and genomic context thereof, in a cross-referenced manner.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Taxonomic classification","Gene name","DNA sequence data","Annotation","Glycosylation","Protein sequence identification","Glycosylated residue","Curated information","Sequence","Homologous"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["Genome Context","Glycan Annotation"],"countries":["India"],"publications":[{"id":703,"pubmed_id":22039152,"title":"ProGlycProt: a repository of experimentally characterized prokaryotic glycoproteins","year":2011,"url":"http://doi.org/10.1093/nar/gkr911","authors":"Bhat AH, Mondal H, Chauhan JS, Raghava GP, Methi A, Rao A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr911","created_at":"2021-09-30T08:23:37.496Z","updated_at":"2021-09-30T08:23:37.496Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.5 India (CC BY-NC-SA 2.5 IN)","licence_id":182,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.5/in/","link_id":1189,"relation":"undefined"},{"licence_name":"ProGlycProt Data Policies and Disclaimer","licence_id":683,"licence_url":"http://crdd.osdd.net/raghava/proglycprot/disclaimer.html","link_id":1190,"relation":"undefined"}],"grants":[{"id":300,"fairsharing_record_id":1634,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:24:25.821Z","updated_at":"2021-09-30T09:29:35.936Z","grant_id":318,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","grant":"SIP10AA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":301,"fairsharing_record_id":1634,"organisation_id":1425,"relation":"funds","created_at":"2021-09-30T09:24:25.863Z","updated_at":"2021-09-30T09:29:45.071Z","grant_id":385,"is_lead":false,"saved_state":{"id":1425,"name":"Institute of Microbial Technology (IMTECH), Council of Scientific \u0026 Industrial Research (CSIR), Chandigarh, India","grant":"OLP0063","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1635","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:36:53.321Z","metadata":{"doi":"10.25504/FAIRsharing.8kd5e5","name":"ProRepeat: An Integrated Repository for Studying Amino Acid Tandem Repeats in Proteins","status":"deprecated","homepage":"http://prorepeat.bioinformatics.nl","identifier":1635,"description":"ProRepeat is an integrated curated repository and analysis platform for in-depth research on the biological characteristics of amino acid tandem repeats. ProRepeat collects repeats from all proteins included in the UniProt knowledgebase, together with 85 completely sequenced eukaryotic proteomes contained within the RefSeq collection.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://en.wikipedia.org/wiki/ProRepeat","type":"Wikipedia"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000091","bsg-d000091"],"name":"FAIRsharing record for: ProRepeat: An Integrated Repository for Studying Amino Acid Tandem Repeats in Proteins","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8kd5e5","doi":"10.25504/FAIRsharing.8kd5e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProRepeat is an integrated curated repository and analysis platform for in-depth research on the biological characteristics of amino acid tandem repeats. ProRepeat collects repeats from all proteins included in the UniProt knowledgebase, together with 85 completely sequenced eukaryotic proteomes contained within the RefSeq collection.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence composition, complexity and repeats","Tandem repeat"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":773,"pubmed_id":22102581,"title":"ProRepeat: an integrated repository for studying amino acid tandem repeats in proteins.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1019","authors":"Luo H,Lin K,David A,Nijveen H,Leunissen JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1019","created_at":"2021-09-30T08:23:45.185Z","updated_at":"2021-09-30T11:28:50.867Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1636","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:39.372Z","metadata":{"doi":"10.25504/FAIRsharing.6zk9ea","name":"Protein-Chemical Structural Interactions","status":"ready","contacts":[{"contact_name":"Olga Kalinina","contact_email":"olga.kalinina@bioquant.uni-heidelberg.de"}],"homepage":"http://pcidb.russelllab.org/","citations":[],"identifier":1636,"description":"Protein-Chemical Structural Interactions provides information on the 3-dimensional chemical structures of protein interactions with low molecular weight.","abbreviation":"ProtChemSI","data_curation":{"url":"http://pcidb.russelllab.org/docs.shtml","type":"manual"},"support_links":[{"url":"http://pcidb.russelllab.org/docs.shtml","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000092","bsg-d000092"],"name":"FAIRsharing record for: Protein-Chemical Structural Interactions","abbreviation":"ProtChemSI","url":"https://fairsharing.org/10.25504/FAIRsharing.6zk9ea","doi":"10.25504/FAIRsharing.6zk9ea","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Protein-Chemical Structural Interactions provides information on the 3-dimensional chemical structures of protein interactions with low molecular weight.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11761}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science"],"domains":["Chemical structure","Protein interaction","Ligand","Molecular interaction","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":954,"pubmed_id":21573205,"title":"Combinations of protein-chemical complex structures reveal new targets for established drugs.","year":2011,"url":"http://doi.org/10.1371/journal.pcbi.1002043","authors":"Kalinina OV., Wichmann O., Apic G., Russell RB.,","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1002043","created_at":"2021-09-30T08:24:05.530Z","updated_at":"2021-09-30T08:24:05.530Z"}],"licence_links":[],"grants":[{"id":302,"fairsharing_record_id":1636,"organisation_id":398,"relation":"maintains","created_at":"2021-09-30T09:24:25.907Z","updated_at":"2021-09-30T09:24:25.907Z","grant_id":null,"is_lead":false,"saved_state":{"id":398,"name":"Cell Networks, University of Heidelberg, Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":303,"fairsharing_record_id":1636,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:25.938Z","updated_at":"2021-09-30T09:24:25.938Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1641","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:37:11.385Z","metadata":{"doi":"10.25504/FAIRsharing.5rb3fk","name":"ModelDB","status":"ready","contacts":[{"contact_name":"Robert McDougal","contact_email":"curator@modeldb.science"}],"homepage":"http://senselab.med.yale.edu/modeldb","citations":[{"doi":"10.1007/s10827-016-0623-7","pubmed_id":27629590,"publication_id":1191}],"identifier":1641,"description":"ModelDB provides an accessible location for storing and efficiently retrieving computational neuroscience models. A ModelDB entry contains a model's source code, concise description, and a citation of the article that published it. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models.","abbreviation":"ModelDB","data_curation":{"url":"https://senselab.med.yale.edu/ModelDB/helpmenu","type":"manual","notes":"All models are created in private mode, and they remain that way until you request that they be made public. Do this by selecting \"request to make public\" on the ShowModel page. A curator will then review your model and may contact you with questions before making it public."},"support_links":[{"url":"curator@modeldb.science","name":"modelDB curators","type":"Support email"},{"url":"https://senselab.med.yale.edu/modeldb/guide2.html","type":"Help documentation"},{"url":"https://twitter.com/SenseLabProject","type":"Twitter"}],"year_creation":1996,"data_versioning":"yes","associated_tools":[{"url":"https://senselab.med.yale.edu/SimToolDB/","name":"SimToolDB"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011330","name":"re3data:r3d100011330","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007271","name":"SciCrunch:RRID:SCR_007271","portal":"SciCrunch"}],"data_access_condition":{"url":"https://senselab.med.yale.edu/ModelDB/helpmenu","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000097","bsg-d000097"],"name":"FAIRsharing record for: ModelDB","abbreviation":"ModelDB","url":"https://fairsharing.org/10.25504/FAIRsharing.5rb3fk","doi":"10.25504/FAIRsharing.5rb3fk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ModelDB provides an accessible location for storing and efficiently retrieving computational neuroscience models. A ModelDB entry contains a model's source code, concise description, and a citation of the article that published it. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12240}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Computational Biology","Life Science"],"domains":["Mathematical model","Network model","Neuron","Modeling and simulation","Ion channel activity","Behavior","Software"],"taxonomies":["All"],"user_defined_tags":["Multi-scale model"],"countries":["United States"],"publications":[{"id":1191,"pubmed_id":27629590,"title":"Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience","year":2016,"url":"http://doi.org/10.1007/s10827-016-0623-7","authors":"McDougal RA, Morse TM, Carnevale T, Marenco L, Wang R, Migliore M, Miller PL, Shepherd GM, Hines ML","journal":"J Comput Neurosci","doi":"10.1007/s10827-016-0623-7","created_at":"2021-09-30T08:24:32.424Z","updated_at":"2021-09-30T08:24:32.424Z"},{"id":1542,"pubmed_id":15218350,"title":"ModelDB: A Database to Support Computational Neuroscience.","year":2004,"url":"http://doi.org/10.1023/B:JCNS.0000023869.22017.2e","authors":"Hines ML,Morse T,Migliore M,Carnevale NT,Shepherd GM","journal":"J Comput Neurosci","doi":"10.1023/B:JCNS.0000023869.22017.2e","created_at":"2021-09-30T08:25:12.696Z","updated_at":"2021-09-30T08:25:12.696Z"},{"id":1544,"pubmed_id":8930855,"title":"ModelDB: an environment for running and storing computational models and their results applied to neuroscience.","year":1996,"url":"http://doi.org/10.1136/jamia.1996.97084512","authors":"Peterson BE,Healy MD,Nadkarni PM,Miller PL,Shepherd GM","journal":"J Am Med Inform Assoc","doi":"10.1136/jamia.1996.97084512","created_at":"2021-09-30T08:25:12.910Z","updated_at":"2021-09-30T08:25:12.910Z"},{"id":1561,"pubmed_id":15055399,"title":"ModelDB: making models publicly accessible to support computational neuroscience.","year":2004,"url":"http://doi.org/10.1385/NI:1:1:135","authors":"Migliore M,Morse TM,Davison AP,Marenco L,Shepherd GM,Hines ML","journal":"Neuroinformatics","doi":"10.1385/NI:1:1:135","created_at":"2021-09-30T08:25:15.078Z","updated_at":"2021-09-30T08:25:15.078Z"}],"licence_links":[],"grants":[{"id":320,"fairsharing_record_id":1641,"organisation_id":3267,"relation":"maintains","created_at":"2021-09-30T09:24:26.606Z","updated_at":"2021-09-30T09:24:26.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":3267,"name":"Yale University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":319,"fairsharing_record_id":1641,"organisation_id":3268,"relation":"maintains","created_at":"2021-09-30T09:24:26.565Z","updated_at":"2021-09-30T09:24:26.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":3268,"name":"Yale University School of Medicine, New Haven, CT, USA.","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":318,"fairsharing_record_id":1641,"organisation_id":2002,"relation":"funds","created_at":"2021-09-30T09:24:26.508Z","updated_at":"2021-09-30T09:30:52.855Z","grant_id":916,"is_lead":false,"saved_state":{"id":2002,"name":"National Institute for Deafness and other Communication Disorders (NIDCD)","grant":"R01 DC 009977","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12027,"fairsharing_record_id":1641,"organisation_id":1274,"relation":"funds","created_at":"2024-07-08T14:51:28.823Z","updated_at":"2024-07-08T14:51:29.502Z","grant_id":1439,"is_lead":false,"saved_state":{"id":1274,"name":"Human Brain Project","grant":"5PO1DC004732","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1642","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:05:30.422Z","metadata":{"doi":"10.25504/FAIRsharing.sncr74","name":"Syntheses, Chemicals, and Reactions In Patents DataBase","status":"deprecated","contacts":[{"contact_email":"SCRIPDB@cs.toronto.edu"}],"homepage":"http://dcv.uhnres.utoronto.ca/SCRIPDB","citations":[],"identifier":1642,"description":"SCRIPDB is a chemical structure database designed to make patent metadata accessible. We index public-domain chemical information contained in U.S. patents, and provide the full patent text, reactions, and relationships described within any individual patent, as well as the original CDX, MOL, and TIFF files.","abbreviation":"SCRIPDB","data_curation":{"type":"manual"},"support_links":[{"url":"https://en.wikipedia.org/wiki/SCRIPDB","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012730","name":"re3data:r3d100012730","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008922","name":"SciCrunch:RRID:SCR_008922","portal":"SciCrunch"}],"deprecation_date":"2022-07-12","deprecation_reason":"This resource homepage has been marked as \"under maintenance\" the last few times the FAIRsharing Team visited it. Because no alternative homepage can be found, this resource has been marked as deprecated. Please get in touch with us if you have any questions.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000098","bsg-d000098"],"name":"FAIRsharing record for: Syntheses, Chemicals, and Reactions In Patents DataBase","abbreviation":"SCRIPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.sncr74","doi":"10.25504/FAIRsharing.sncr74","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SCRIPDB is a chemical structure database designed to make patent metadata accessible. We index public-domain chemical information contained in U.S. patents, and provide the full patent text, reactions, and relationships described within any individual patent, as well as the original CDX, MOL, and TIFF files.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11763}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Chemical structure","Image","Patent"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1342,"pubmed_id":22067445,"title":"SCRIPDB: a portal for easy access to syntheses, chemicals and reactions in patents.","year":2011,"url":"http://doi.org/10.1093/nar/gkr919","authors":"Heifets A,Jurisica I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr919","created_at":"2021-09-30T08:24:50.166Z","updated_at":"2021-09-30T11:29:06.143Z"}],"licence_links":[],"grants":[{"id":323,"fairsharing_record_id":1642,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:24:26.732Z","updated_at":"2021-09-30T09:29:37.279Z","grant_id":329,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","grant":"CFI #12301","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":322,"fairsharing_record_id":1642,"organisation_id":1616,"relation":"maintains","created_at":"2021-09-30T09:24:26.691Z","updated_at":"2021-09-30T09:24:26.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":1616,"name":"Jurisica Lab, Ontario Cancer Institute, Toronto, ON, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":324,"fairsharing_record_id":1642,"organisation_id":2247,"relation":"funds","created_at":"2021-09-30T09:24:26.774Z","updated_at":"2021-09-30T09:29:02.017Z","grant_id":64,"is_lead":false,"saved_state":{"id":2247,"name":"Ontario Research Fund","grant":"GL2-01-030","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8156,"fairsharing_record_id":1642,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:31:14.773Z","updated_at":"2021-09-30T09:31:14.820Z","grant_id":1084,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","grant":"CFI #203383","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1643","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-01T11:46:25.581Z","metadata":{"doi":"10.25504/FAIRsharing.6648ht","name":"The SEQanswers wiki","status":"ready","contacts":[{"contact_name":"Dan Bolser","contact_email":"dan.bolser@gmail.com","contact_orcid":"0000-0002-3991-0859"}],"homepage":"https://www.seqanswers.com/","citations":[],"identifier":1643,"description":"Wiki on all aspects of next-generation genomics. The SEQanswers wiki is a Semantic MediWiki (SMW) site that is edited and updated by the members of the SEQanswers community. The wiki provides an extensive catalogue of manually categorized analysis tools, technologies and information about service providers.","abbreviation":null,"data_curation":{"url":"https://www.seqanswers.com/help#content_overview/content_topics","type":"manual","notes":"Community Curation"},"support_links":[{"url":"http://seqanswers.com/forums/forumdisplay.php?f=36","type":"Forum"},{"url":"http://seqanswers.com/wiki/Help:Contents","type":"Help documentation"},{"url":"http://seqanswers.com/wiki/SEQwiki:About","type":"Help documentation"},{"url":"https://twitter.com/SEQanswers","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"url":"https://www.seqanswers.com/register","type":"open","notes":"Register is necessary to access the data"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.seqanswers.com/help#content_overview/content_topics","type":"open","notes":"account required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000099","bsg-d000099"],"name":"FAIRsharing record for: The SEQanswers wiki","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6648ht","doi":"10.25504/FAIRsharing.6648ht","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Wiki on all aspects of next-generation genomics. The SEQanswers wiki is a Semantic MediWiki (SMW) site that is edited and updated by the members of the SEQanswers community. The wiki provides an extensive catalogue of manually categorized analysis tools, technologies and information about service providers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Citation","Free text","Next generation DNA sequencing","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Germany","Hong Kong","Ireland","United States"],"publications":[{"id":752,"pubmed_id":22086956,"title":"The SEQanswers wiki: a wiki database of tools for high-throughput sequencing analysis.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1058","authors":"Li JW,Robison K,Martin M,Sjodin A,Usadel B,Young M,Olivares EC,Bolser DM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1058","created_at":"2021-09-30T08:23:42.801Z","updated_at":"2021-09-30T11:28:49.784Z"},{"id":788,"pubmed_id":22419780,"title":"SEQanswers: an open access community for collaboratively decoding genomes.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts128","authors":"Li JW,Schmieder R,Ward RM,Delenick J,Olivares EC,Mittelman D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts128","created_at":"2021-09-30T08:23:46.862Z","updated_at":"2021-09-30T08:23:46.862Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1251,"relation":"undefined"}],"grants":[{"id":11258,"fairsharing_record_id":1643,"organisation_id":4226,"relation":"associated_with","created_at":"2024-02-01T11:46:06.023Z","updated_at":"2024-02-01T11:46:06.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":4226,"name":"Chinese University of Hong Kong","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3d695e4885f5a34c615b2e89d4dac337597f5dc6/seq-answers-header-nobg-medium-blue.png?disposition=inline","exhaustive_licences":false}},{"id":"1639","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:06.745Z","metadata":{"doi":"10.25504/FAIRsharing.pn1sr5","name":"Rhea","status":"ready","contacts":[{"contact_name":"Anne Morgat","contact_email":"anne.morgat@sib.swiss","contact_orcid":"0000-0002-1216-2969"}],"homepage":"http://www.rhea-db.org","citations":[{"doi":"10.1093/nar/gkab1016","pubmed_id":34755880,"publication_id":3272}],"identifier":1639,"description":"Rhea is a comprehensive and non-redundant resource of expert-curated chemical and transport reactions of biological interest. Rhea can be used for enzyme annotation, genome-scale metabolic modeling and omics-related analysis. Rhea describes enzyme-catalyzed reactions covering the IUBMB Enzyme Nomenclature list as well as additional reactions, including spontaneously occurring reactions. Rhea is built on ChEBI (Chemical Entities of Biological Interest) ontology of small molecules to describe its reaction participants. Since December 2018, Rhea is the standard for enzyme annotation in UniProt.","abbreviation":"Rhea","data_curation":{"url":"https://www.rhea-db.org/help/reaction-curation","type":"manual","notes":"Rhea is an expert-curated knowledgebase of chemical and transport reactions of biological interest"},"support_links":[{"url":"https://www.rhea-db.org/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.rhea-db.org/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://www.rhea-db.org/help","name":"Documentation","type":"Help documentation"},{"url":"https://sourceforge.net/p/rhea-ebi/news/feed.rss","name":"RSS","type":"Blog/News"},{"url":"https://twitter.com/rhea_db","name":"@rhea_db","type":"Twitter"},{"url":"https://www.rhea-db.org/help?query=\u0026filter=category:faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ftp.expasy.org/databases/rhea/rhea_news.html","name":"News","type":"Blog/News"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://www.chemaxon.com/","name":"ChemAxon"},{"url":"https://cran.r-project.org/web/packages/RxnSim/index.html","name":"RxnSim 1.0.3"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010891","name":"re3data:r3d100010891","portal":"re3data"}],"data_access_condition":{"url":"https://www.rhea-db.org/help/license-disclaimer","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000095","bsg-d000095"],"name":"FAIRsharing record for: Rhea","abbreviation":"Rhea","url":"https://fairsharing.org/10.25504/FAIRsharing.pn1sr5","doi":"10.25504/FAIRsharing.pn1sr5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Rhea is a comprehensive and non-redundant resource of expert-curated chemical and transport reactions of biological interest. Rhea can be used for enzyme annotation, genome-scale metabolic modeling and omics-related analysis. Rhea describes enzyme-catalyzed reactions covering the IUBMB Enzyme Nomenclature list as well as additional reactions, including spontaneously occurring reactions. Rhea is built on ChEBI (Chemical Entities of Biological Interest) ontology of small molecules to describe its reaction participants. Since December 2018, Rhea is the standard for enzyme annotation in UniProt.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10930},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11324},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11762},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12157},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16187}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science"],"domains":["Chemical formula","Reaction data","Annotation","Chemical entity","Transport","Small molecule","Enzymatic reaction","Curated information","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2061,"pubmed_id":27789701,"title":"Updates in Rhea - an expert curated resource of biochemical reactions.","year":2016,"url":"http://doi.org/10.1093/nar/gkw990","authors":"Morgat A, Lombardot T, Axelsen KB, Aimo L, Niknejad A, Hyka-Nouspikel N, Coudert E, Pozzato M, Pagni M, Moretti S, Rosanoff S, Onwubiko J, Bougueleret L, Xenarios I, Redaschi N, Bridge A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw990","created_at":"2021-09-30T08:26:12.241Z","updated_at":"2021-09-30T08:26:12.241Z"},{"id":2660,"pubmed_id":25332395,"title":"Updates in Rhea--a manually curated resource of biochemical reactions.","year":2014,"url":"http://doi.org/10.1093/nar/gku961","authors":"Morgat A, Axelsen KB, Lombardot T, Alcántara R, Aimo L, Zerara M, Niknejad A, Belda E, Hyka-Nouspikel N, Coudert E, Redaschi N, Bougueleret L, Steinbeck C, Xenarios I, Bridge A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku961","created_at":"2021-09-30T08:27:26.655Z","updated_at":"2021-09-30T08:27:26.655Z"},{"id":2661,"pubmed_id":22135291,"title":"Rhea--a manually curated resource of biochemical reactions.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1126","authors":"Alcantara R,Axelsen KB,Morgat A,Belda E,Coudert E,Bridge A,Cao H,de Matos P,Ennis M,Turner S,Owen G,Bougueleret L,Xenarios I,Steinbeck C","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1126","created_at":"2021-09-30T08:27:26.771Z","updated_at":"2021-09-30T08:27:26.771Z"},{"id":2669,"pubmed_id":30272209,"title":"Updates in Rhea: SPARQLing biochemical reaction data.","year":2018,"url":"http://doi.org/10.1093/nar/gky876","authors":"Lombardot T, Morgat A, Axelsen KB, Aimo L, Hyka-Nouspikel N, Niknejad A, Ignatchenko A, Xenarios I, Coudert E, Redaschi N, Bridge A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky876","created_at":"2021-09-30T08:27:27.694Z","updated_at":"2021-09-30T11:29:41.003Z"},{"id":2672,"pubmed_id":31688925,"title":"Enzyme annotation in UniProtKB using Rhea","year":2019,"url":"http://doi.org/10.1093/bioinformatics/btz817","authors":"Morgat A, Lombardot T, Coudert E, Axelsen K, Neto TB, Gehant S, Bansal P, Bolleman J, Gasteiger E, de Castro E, Baratin D, Pozzato M, Xenarios I, Poux S, Redaschi N, Bridge A and the UniProt Consortium","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btz817","created_at":"2021-09-30T08:27:28.063Z","updated_at":"2021-09-30T08:27:28.063Z"},{"id":3272,"pubmed_id":34755880,"title":"Rhea, the reaction knowledgebase in 2022.","year":2022,"url":"https://doi.org/10.1093/nar/gkab1016","authors":"Bansal P, Morgat A, Axelsen KB, Muthukrishnan V, Coudert E, Aimo L, Hyka-Nouspikel N, Gasteiger E, Kerhornou A, Neto TB, Pozzato M, Blatter MC, Ignatchenko A, Redaschi N, Bridge A","journal":"Nucleic acids research","doi":"10.1093/nar/gkab1016","created_at":"2022-03-25T14:34:09.528Z","updated_at":"2022-03-25T14:34:09.528Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":901,"relation":"undefined"}],"grants":[{"id":313,"fairsharing_record_id":1639,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:26.335Z","updated_at":"2021-09-30T09:24:26.335Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10010,"fairsharing_record_id":1639,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.701Z","updated_at":"2022-10-13T09:43:38.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":9417,"fairsharing_record_id":1639,"organisation_id":2635,"relation":"funds","created_at":"2022-04-11T12:07:36.898Z","updated_at":"2022-04-11T12:07:36.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1FCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9549c8b57841b1870a5279152f00dbe292fd880b/LogoRheaRVB80x170.png?disposition=inline","exhaustive_licences":false}},{"id":"1640","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-08T10:28:13.968Z","metadata":{"doi":"10.25504/FAIRsharing.vebj4e","name":"RNA Characterization of Secondary Structure Motifs","status":"ready","contacts":[{"contact_name":"Brent M. Znosko","contact_email":"znoskob@slu.edu"}],"homepage":"https://rnacossmos.com/","citations":[],"identifier":1640,"description":"RNA Characterization of Secondary Structure Motifs (RNA CoSSMos) database allows the systematic searching of all catalogued three-dimensional nucleic acid PDB structures that contain secondary structure motifs such as mismatches, (a)symmetric internal loops, hairpin loops, and bulge loops.","abbreviation":"RNA CoSSMos","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.rnacossmos.com/contact.php","type":"Contact form"},{"url":"https://www.rnacossmos.com/faq2.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/RNA_CoSSMos","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000096","bsg-d000096"],"name":"FAIRsharing record for: RNA Characterization of Secondary Structure Motifs","abbreviation":"RNA CoSSMos","url":"https://fairsharing.org/10.25504/FAIRsharing.vebj4e","doi":"10.25504/FAIRsharing.vebj4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNA Characterization of Secondary Structure Motifs (RNA CoSSMos) database allows the systematic searching of all catalogued three-dimensional nucleic acid PDB structures that contain secondary structure motifs such as mismatches, (a)symmetric internal loops, hairpin loops, and bulge loops.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12593}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Ribonucleic acid","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":753,"pubmed_id":22127861,"title":"RNA CoSSMos: Characterization of Secondary Structure Motifs--a searchable database of secondary structure motifs in RNA three-dimensional structures.","year":2011,"url":"http://doi.org/10.1093/nar/gkr943","authors":"Vanegas PL, Hudson GA, Davis AR, Kelly SC, Kirkpatrick CC, Znosko BM.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gkr943","created_at":"2021-09-30T08:23:42.913Z","updated_at":"2021-09-30T08:23:42.913Z"}],"licence_links":[],"grants":[{"id":317,"fairsharing_record_id":1640,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:26.484Z","updated_at":"2021-09-30T09:30:29.007Z","grant_id":730,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"1R15GM085699-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11700,"fairsharing_record_id":1640,"organisation_id":4336,"relation":"maintains","created_at":"2024-04-08T10:28:02.496Z","updated_at":"2024-04-08T10:28:02.496Z","grant_id":null,"is_lead":true,"saved_state":{"id":4336,"name":"Znosko Lab, Department of Chemistry, Saint Louis University","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1624","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:37.914Z","metadata":{"doi":"10.25504/FAIRsharing.284kre","name":"The DNA Replication Origin Database","status":"ready","contacts":[{"contact_name":"Conrad A. Nieduszynski","contact_email":"conrad@oridb.org","contact_orcid":"0000-0003-2001-076X"}],"homepage":"http://cerevisiae.oridb.org/","citations":[],"identifier":1624,"description":"This database summarizes our knowledge of replication origins in the budding yeast Saccharomyces cerevisiae. Each proposed origin site has been assigned a Status (Confirmed, Likely, or Dubious) expressing the confidence that the site genuinely corresponds to an origin.","abbreviation":"OriDB","data_curation":{"url":"http://cerevisiae.oridb.org/help.php","type":"manual"},"support_links":[{"url":"http://cerevisiae.oridb.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cerevisiae.oridb.org/help.php","type":"Help documentation"},{"url":"http://pombe.oridb.org/help.php","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000080","bsg-d000080"],"name":"FAIRsharing record for: The DNA Replication Origin Database","abbreviation":"OriDB","url":"https://fairsharing.org/10.25504/FAIRsharing.284kre","doi":"10.25504/FAIRsharing.284kre","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database summarizes our knowledge of replication origins in the budding yeast Saccharomyces cerevisiae. Each proposed origin site has been assigned a Status (Confirmed, Likely, or Dubious) expressing the confidence that the site genuinely corresponds to an origin.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Genome"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":136,"pubmed_id":17065467,"title":"OriDB: a DNA replication origin database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl758","authors":"Nieduszynski CA., Hiraga S., Ak P., Benham CJ., Donaldson AD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl758","created_at":"2021-09-30T08:22:34.880Z","updated_at":"2021-09-30T08:22:34.880Z"},{"id":503,"pubmed_id":22121216,"title":"OriDB, the DNA replication origin database updated and extended.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1091","authors":"Siow CC., Nieduszynska SR., Müller CA., Nieduszynski CA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1091","created_at":"2021-09-30T08:23:14.677Z","updated_at":"2021-09-30T08:23:14.677Z"}],"licence_links":[{"licence_name":"OriDB Attribution required","licence_id":641,"licence_url":"http://cerevisiae.oridb.org/faq.php","link_id":123,"relation":"undefined"}],"grants":[{"id":256,"fairsharing_record_id":1624,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:24.004Z","updated_at":"2021-09-30T09:29:58.576Z","grant_id":495,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0416764","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":257,"fairsharing_record_id":1624,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:24.042Z","updated_at":"2021-09-30T09:29:36.787Z","grant_id":325,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G001596/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8203,"fairsharing_record_id":1624,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:30.156Z","updated_at":"2021-09-30T09:31:30.205Z","grant_id":1200,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E023754/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1637","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-31T17:59:41.385Z","metadata":{"doi":"10.25504/FAIRsharing.wv5q9d","name":"ProtoNet","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"proto@cs.huji.ac.il"}],"homepage":"http://www.protonet.cs.huji.ac.il/","citations":[],"identifier":1637,"description":"This resource is a hierarchical clustering of UniProt protein sequences into hierarchical trees. This resource allows for the study of sub-family and super-family of a protein, using UniRef50 clusters.","abbreviation":"ProtoNet","data_curation":{"type":"automated"},"support_links":[{"url":"http://www.protonet.cs.huji.ac.il/feedback.php","type":"Contact form"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[],"deprecation_date":"2023-01-30","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000093","bsg-d000093"],"name":"FAIRsharing record for: ProtoNet","abbreviation":"ProtoNet","url":"https://fairsharing.org/10.25504/FAIRsharing.wv5q9d","doi":"10.25504/FAIRsharing.wv5q9d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource is a hierarchical clustering of UniProt protein sequences into hierarchical trees. This resource allows for the study of sub-family and super-family of a protein, using UniRef50 clusters.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide property","Gene Ontology enrichment","Enzyme","Cross linking"],"taxonomies":["All"],"user_defined_tags":["Protein superfamily"],"countries":["Israel"],"publications":[{"id":131,"pubmed_id":12520020,"title":"ProtoNet: hierarchical classification of the protein space.","year":2003,"url":"http://doi.org/10.1093/nar/gkg096","authors":"Sasson O., Vaaknin A., Fleischer H., Portugaly E., Bilu Y., Linial N., Linial M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg096","created_at":"2021-09-30T08:22:34.356Z","updated_at":"2021-09-30T08:22:34.356Z"},{"id":1322,"pubmed_id":23563419,"title":"ProtoNet: charting the expanding universe of protein sequences.","year":2013,"url":"http://doi.org/10.1038/nbt.2553","authors":"Rappoport N,Linial N,Linial M","journal":"Nat Biotechnol","doi":"10.1038/nbt.2553","created_at":"2021-09-30T08:24:47.874Z","updated_at":"2021-09-30T08:24:47.874Z"},{"id":1456,"pubmed_id":18689824,"title":"Connect the dots: exposing hidden protein family connections from the entire sequence tree.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn301","authors":"Loewenstein Y., Linial M.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn301","created_at":"2021-09-30T08:25:02.727Z","updated_at":"2021-09-30T08:25:02.727Z"},{"id":1457,"pubmed_id":18586742,"title":"Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn174","authors":"Loewenstein Y., Portugaly E., Fromer M., Linial M.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn174","created_at":"2021-09-30T08:25:02.835Z","updated_at":"2021-09-30T08:25:02.835Z"},{"id":1936,"pubmed_id":18629007,"title":"Fishing with (Proto)Net-a principled approach to protein target selection.","year":2008,"url":"http://doi.org/10.1002/cfg.328","authors":"Linial M.,","journal":"Comp. Funct. Genomics","doi":"10.1002/cfg.328","created_at":"2021-09-30T08:25:57.919Z","updated_at":"2021-09-30T08:25:57.919Z"},{"id":2012,"pubmed_id":16672244,"title":"Functional annotation prediction: all for one and one for all.","year":2006,"url":"http://doi.org/10.1110/ps.062185706","authors":"Sasson O., Kaplan N., Linial M.,","journal":"Protein Sci.","doi":"10.1110/ps.062185706","created_at":"2021-09-30T08:26:06.682Z","updated_at":"2021-09-30T08:26:06.682Z"},{"id":2028,"pubmed_id":15596019,"title":"A functional hierarchical organization of the protein sequence space.","year":2004,"url":"http://doi.org/10.1186/1471-2105-5-196","authors":"Kaplan N., Friedlich M., Fromer M., Linial M.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-5-196","created_at":"2021-09-30T08:26:08.382Z","updated_at":"2021-09-30T08:26:08.382Z"},{"id":2030,"pubmed_id":15382232,"title":"A robust method to detect structural and functional remote homologues.","year":2004,"url":"http://doi.org/10.1002/prot.20235","authors":"Shachar O., Linial M.,","journal":"Proteins","doi":"10.1002/prot.20235","created_at":"2021-09-30T08:26:08.606Z","updated_at":"2021-09-30T08:26:08.606Z"},{"id":2031,"pubmed_id":22121228,"title":"ProtoNet 6.0: organizing 10 million protein sequences in a compact hierarchical family tree.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1027","authors":"Rappoport N,Karsenty S,Stern A,Linial N,Linial M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1027","created_at":"2021-09-30T08:26:08.755Z","updated_at":"2021-09-30T11:29:26.411Z"},{"id":2099,"pubmed_id":15608180,"title":"ProtoNet 4.0: a hierarchical classification of one million protein sequences.","year":2004,"url":"http://doi.org/10.1093/nar/gki007","authors":"Kaplan N., Sasson O., Inbar U., Friedlich M., Fromer M., Fleischer H., Portugaly E., Linial N., Linial M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki007","created_at":"2021-09-30T08:26:16.523Z","updated_at":"2021-09-30T08:26:16.523Z"}],"licence_links":[],"grants":[{"id":304,"fairsharing_record_id":1637,"organisation_id":1265,"relation":"funds","created_at":"2021-09-30T09:24:25.980Z","updated_at":"2021-09-30T09:24:25.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":1265,"name":"Horowitz Foundation for Social Policy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":308,"fairsharing_record_id":1637,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:26.139Z","updated_at":"2021-09-30T09:24:26.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":305,"fairsharing_record_id":1637,"organisation_id":1858,"relation":"funds","created_at":"2021-09-30T09:24:26.022Z","updated_at":"2021-09-30T09:24:26.022Z","grant_id":null,"is_lead":false,"saved_state":{"id":1858,"name":"Ministry of Defence, Tel Aviv, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":306,"fairsharing_record_id":1637,"organisation_id":1855,"relation":"funds","created_at":"2021-09-30T09:24:26.063Z","updated_at":"2021-09-30T09:24:26.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":1855,"name":"Minister of Science, Technology and Space (MOST), Tel Aviv, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":309,"fairsharing_record_id":1637,"organisation_id":2511,"relation":"maintains","created_at":"2021-09-30T09:24:26.181Z","updated_at":"2021-09-30T09:24:26.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":2511,"name":"School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":310,"fairsharing_record_id":1637,"organisation_id":2838,"relation":"funds","created_at":"2021-09-30T09:24:26.223Z","updated_at":"2021-09-30T09:24:26.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":2838,"name":"The Sudarsky Center for Computational Biology (SCCB) Hebrew University of Jerusalem","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":307,"fairsharing_record_id":1637,"organisation_id":1561,"relation":"funds","created_at":"2021-09-30T09:24:26.102Z","updated_at":"2021-09-30T09:32:22.953Z","grant_id":1594,"is_lead":false,"saved_state":{"id":1561,"name":"Israel Science Foundation, Israel","grant":"ISF 592/07","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1638","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T11:13:31.686Z","metadata":{"doi":"10.25504/FAIRsharing.3d4jx0","name":"Protein Structure Change Database","status":"deprecated","contacts":[{"contact_name":"Takayuki Amemiya","contact_email":"pscdb-admin@force.cs.is.nagoya-u.ac.jp"}],"homepage":"http://idp1.force.cs.is.nagoya-u.ac.jp/pscdb/","citations":[],"identifier":1638,"description":"The Protein Structural Change DataBase (PSCDB) presents the structural changes found in proteins, represented by pairs of ligand-free and ligand-bound structures of identical proteins, and links these changes to ligand-binding.","abbreviation":"PSCDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://idp1.force.cs.is.nagoya-u.ac.jp/pscdb/background_info.pdf","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2023-03-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000094","bsg-d000094"],"name":"FAIRsharing record for: Protein Structure Change Database","abbreviation":"PSCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3d4jx0","doi":"10.25504/FAIRsharing.3d4jx0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Structural Change DataBase (PSCDB) presents the structural changes found in proteins, represented by pairs of ligand-free and ligand-bound structures of identical proteins, and links these changes to ligand-binding.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12592}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme Commission number","Protein structure","Ligand","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":135,"pubmed_id":21376729,"title":"Classification and annotation of the relationship between protein structural change and ligand binding.","year":2011,"url":"http://doi.org/10.1016/j.jmb.2011.02.058","authors":"Amemiya T., Koike R., Fuchigami S., Ikeguchi M., Kidera A.,","journal":"J. Mol. Biol.","doi":"10.1016/j.jmb.2011.02.058","created_at":"2021-09-30T08:22:34.781Z","updated_at":"2021-09-30T08:22:34.781Z"},{"id":1556,"pubmed_id":22080505,"title":"PSCDB: a database for protein structural change upon ligand binding.","year":2011,"url":"http://doi.org/10.1093/nar/gkr966","authors":"Amemiya T,Koike R,Kidera A,Ota M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr966","created_at":"2021-09-30T08:25:14.500Z","updated_at":"2021-09-30T11:29:13.801Z"}],"licence_links":[],"grants":[{"id":311,"fairsharing_record_id":1638,"organisation_id":743,"relation":"maintains","created_at":"2021-09-30T09:24:26.263Z","updated_at":"2021-09-30T09:24:26.263Z","grant_id":null,"is_lead":false,"saved_state":{"id":743,"name":"Department of Supramolecular Biology, Graduate School of Nanobioscience, Yokohama City University, Yokohama, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1648","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:39:26.883Z","metadata":{"doi":"10.25504/FAIRsharing.zhwa8x","name":"Search Tool for Interactions of Chemicals","status":"ready","contacts":[{"contact_name":"Lars J. Jensen","contact_email":"jensen@embl.de"}],"homepage":"http://stitch.embl.de","citations":[],"identifier":1648,"description":"STITCH is a resource to explore known and predicted interactions of chemicals and proteins. Chemicals are linked to other chemicals and proteins by evidence derived from experiments, databases and the literature.","abbreviation":"STITCH","data_curation":{"type":"automated","notes":"Some data derived from curated data of various database"},"support_links":[{"url":"http://stitch.embl.de/cgi/help.pl?UserId=6WnBNmnMDECf\u0026sessionId=sN6Yw82egr3T","type":"Help documentation"},{"url":"http://stitch.embl.de/cgi/info.pl?UserId=6WnBNmnMDECf\u0026sessionId=sN6Yw82egr3T\u0026footer_active_subpage=faqs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012165","name":"re3data:r3d100012165","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007947","name":"SciCrunch:RRID:SCR_007947","portal":"SciCrunch"}],"data_access_condition":{"type":"partially open","notes":"Much of the data is freely available, but you need to login to obtain the whole database"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000104","bsg-d000104"],"name":"FAIRsharing record for: Search Tool for Interactions of Chemicals","abbreviation":"STITCH","url":"https://fairsharing.org/10.25504/FAIRsharing.zhwa8x","doi":"10.25504/FAIRsharing.zhwa8x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STITCH is a resource to explore known and predicted interactions of chemicals and proteins. Chemicals are linked to other chemicals and proteins by evidence derived from experiments, databases and the literature.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11764}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Computational biological predictions","Chemical entity","Molecular interaction","Small molecule","Protein","Literature curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":140,"pubmed_id":18084021,"title":"STITCH: interaction networks of chemicals and proteins.","year":2007,"url":"http://doi.org/10.1093/nar/gkm795","authors":"Kuhn M., von Mering C., Campillos M., Jensen LJ., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm795","created_at":"2021-09-30T08:22:35.305Z","updated_at":"2021-09-30T08:22:35.305Z"},{"id":141,"pubmed_id":19897548,"title":"STITCH 2: an interaction network database for small molecules and proteins.","year":2009,"url":"http://doi.org/10.1093/nar/gkp937","authors":"Kuhn M., Szklarczyk D., Franceschini A., Campillos M., von Mering C., Jensen LJ., Beyer A., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp937","created_at":"2021-09-30T08:22:35.406Z","updated_at":"2021-09-30T08:22:35.406Z"},{"id":1551,"pubmed_id":24293645,"title":"STITCH 4: integration of protein-chemical interactions with user data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1207","authors":"Kuhn M,Szklarczyk D,Pletscher-Frankild S,Blicher TH,von Mering C,Jensen LJ,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1207","created_at":"2021-09-30T08:25:13.744Z","updated_at":"2021-09-30T11:29:13.310Z"},{"id":1553,"pubmed_id":22075997,"title":"STITCH 3: zooming in on protein-chemical interactions.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1011","authors":"Kuhn M,Szklarczyk D,Franceschini A,von Mering C,Jensen LJ,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1011","created_at":"2021-09-30T08:25:14.191Z","updated_at":"2021-09-30T11:29:13.510Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":324,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":147,"relation":"undefined"}],"grants":[{"id":338,"fairsharing_record_id":1648,"organisation_id":2746,"relation":"maintains","created_at":"2021-09-30T09:24:27.574Z","updated_at":"2021-09-30T09:24:27.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":2746,"name":"The Biotechnology Center (BIOTEC), Technische Universitat Dresden, Dresden, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":342,"fairsharing_record_id":1648,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:24:27.859Z","updated_at":"2021-09-30T09:24:27.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":339,"fairsharing_record_id":1648,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:27.642Z","updated_at":"2021-09-30T09:31:45.536Z","grant_id":1314,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG KU 2796/2-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":337,"fairsharing_record_id":1648,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:24:27.508Z","updated_at":"2021-09-30T09:24:27.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":341,"fairsharing_record_id":1648,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:27.793Z","updated_at":"2021-09-30T09:24:27.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9299,"fairsharing_record_id":1648,"organisation_id":943,"relation":"maintains","created_at":"2022-04-11T12:07:28.778Z","updated_at":"2022-04-11T12:07:28.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":943,"name":"European Molecular Biology Organization","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9351,"fairsharing_record_id":1648,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.401Z","updated_at":"2022-04-11T12:07:32.419Z","grant_id":1737,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0313831D","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1673","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:23:45.781Z","metadata":{"doi":"10.25504/FAIRsharing.kq47fy","name":"SpliceDisease","status":"deprecated","homepage":"http://cmbi.bjmu.edu.cn/Sdisease","identifier":1673,"description":"The SpliceDisease database provides information linking RNA splicing to human disease, including the change of the nucleotide in the sequence, the location of the mutation on the gene, the reference Pubmed ID and detailed description for the relationship among gene mutations, splicing defects and diseases.","abbreviation":"SpliceDisease","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000129","bsg-d000129"],"name":"FAIRsharing record for: SpliceDisease","abbreviation":"SpliceDisease","url":"https://fairsharing.org/10.25504/FAIRsharing.kq47fy","doi":"10.25504/FAIRsharing.kq47fy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SpliceDisease database provides information linking RNA splicing to human disease, including the change of the nucleotide in the sequence, the location of the mutation on the gene, the reference Pubmed ID and detailed description for the relationship among gene mutations, splicing defects and diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["RNA splicing","Mutation analysis","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":173,"pubmed_id":22139928,"title":"SpliceDisease database: linking RNA splicing and disease.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1171","authors":"Wang J., Zhang J., Li K., Zhao W., Cui Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1171","created_at":"2021-09-30T08:22:38.922Z","updated_at":"2021-09-30T08:22:38.922Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1674","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:48.606Z","metadata":{"doi":"10.25504/FAIRsharing.a0k4cd","name":"TarBase","status":"ready","contacts":[{"contact_name":"Artemis Hatzigeorgiou","contact_email":"arhatzig@inf.uth.gr"}],"homepage":"http://www.microrna.gr/tarbase","citations":[{"doi":"10.1093/nar/gkx1141","pubmed_id":29156006,"publication_id":588}],"identifier":1674,"description":"DIANA-TarBase is a reference database that indexes experimentally-supported microRNA (miRNA) targets. It integrates information on cell-type specific miRNA–gene regulation and includes miRNA-binding locations. The target data provided by DIANA-TarBase is supported by information on methodologies, cell types/tissues and experimental conditions.","abbreviation":"TarBase","data_curation":{"type":"manual","notes":"This database contains experimentally supporter miRNA-gene interactions."},"support_links":[{"url":"http://diana.imis.athena-innovation.gr/DianaTools/index.php?r=site/contact","name":"DIANA Contact Form","type":"Contact form"},{"url":"http://carolina.imis.athena-innovation.gr/diana_tools/web/index.php?r=tarbasev8%2Fhelp","name":"Help","type":"Help documentation"},{"url":"http://carolina.imis.athena-innovation.gr/diana_tools/web/index.php?r=tarbasev8%2Fstatistics","name":"Statistics","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000130","bsg-d000130"],"name":"FAIRsharing record for: TarBase","abbreviation":"TarBase","url":"https://fairsharing.org/10.25504/FAIRsharing.a0k4cd","doi":"10.25504/FAIRsharing.a0k4cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DIANA-TarBase is a reference database that indexes experimentally-supported microRNA (miRNA) targets. It integrates information on cell-type specific miRNA–gene regulation and includes miRNA-binding locations. The target data provided by DIANA-TarBase is supported by information on methodologies, cell types/tissues and experimental conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Experimental measurement","Bibliography","Free text","Gene silencing by miRNA (microRNA)","Untranslated RNA","Protocol","Micro RNA","Experimentally determined","Gene"],"taxonomies":["Arabidopsis thaliana","Bombyx mori","Bos taurus","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Gallus gallus","Glycine max","Homo sapiens","Human cytomegalovirus","KSHV","Medicago truncatula","Mus musculus","Oryza sativa","Ovis aries","Physcomitrella patens","Rattus norvegicus","Vitis vinifera","Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":["Experimental condition"],"countries":["Greece"],"publications":[{"id":588,"pubmed_id":29156006,"title":"DIANA-TarBase v8: a decade-long collection of experimentally supported miRNA-gene interactions.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1141","authors":"Karagkouni D,Paraskevopoulou MD,Chatzopoulos S,Vlachos IS,Tastsoglou S,Kanellos I,Papadimitriou D,Kavakiotis I,Maniou S,Skoufos G,Vergoulis T,Dalamagas T,Hatzigeorgiou AG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1141","created_at":"2021-09-30T08:23:24.424Z","updated_at":"2021-09-30T11:28:47.433Z"},{"id":1604,"pubmed_id":18957447,"title":"The database of experimentally supported targets: a functional update of TarBase.","year":2008,"url":"http://doi.org/10.1093/nar/gkn809","authors":"Papadopoulos GL., Reczko M., Simossis VA., Sethupathy P., Hatzigeorgiou AG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn809","created_at":"2021-09-30T08:25:19.820Z","updated_at":"2021-09-30T08:25:19.820Z"},{"id":1605,"pubmed_id":16373484,"title":"TarBase: A comprehensive database of experimentally supported animal microRNA targets.","year":2005,"url":"http://doi.org/10.1261/rna.2239606","authors":"Sethupathy P., Corda B., Hatzigeorgiou AG.,","journal":"RNA","doi":"10.1261/rna.2239606","created_at":"2021-09-30T08:25:19.937Z","updated_at":"2021-09-30T08:25:19.937Z"},{"id":1613,"pubmed_id":25416803,"title":"DIANA-TarBase v7.0: indexing more than half a million experimentally supported miRNA:mRNA interactions.","year":2014,"url":"http://doi.org/10.1093/nar/gku1215","authors":"Vlachos IS,Paraskevopoulou MD,Karagkouni D,Georgakilas G,Vergoulis T,Kanellos I,Anastasopoulos IL,Maniou S,Karathanou K,Kalfakakou D,Fevgas A,Dalamagas T,Hatzigeorgiou AG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1215","created_at":"2021-09-30T08:25:20.776Z","updated_at":"2021-09-30T11:29:15.985Z"}],"licence_links":[{"licence_name":"DIANA-TarBase Licence Specifications","licence_id":238,"licence_url":"http://carolina.imis.athena-innovation.gr/diana_tools/web/index.php?r=tarbasev8%2Fdownloaddataform","link_id":1708,"relation":"undefined"}],"grants":[{"id":419,"fairsharing_record_id":1674,"organisation_id":1379,"relation":"maintains","created_at":"2021-09-30T09:24:31.085Z","updated_at":"2021-09-30T09:24:31.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":1379,"name":"Institute for Biomedical Informatics (IBI), University of Pennsylvania, Philadelphia, PA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":421,"fairsharing_record_id":1674,"organisation_id":759,"relation":"maintains","created_at":"2021-09-30T09:24:31.160Z","updated_at":"2021-09-30T09:24:31.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":759,"name":"Diana Lab Group, Greece","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":416,"fairsharing_record_id":1674,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:24:30.971Z","updated_at":"2021-09-30T09:24:30.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":417,"fairsharing_record_id":1674,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:31.002Z","updated_at":"2021-09-30T09:24:31.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":418,"fairsharing_record_id":1674,"organisation_id":269,"relation":"maintains","created_at":"2021-09-30T09:24:31.043Z","updated_at":"2021-09-30T09:24:31.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":269,"name":"Biomedical Sciences Research Center Alexander Fleming (BSRC), Vari, Greece","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":420,"fairsharing_record_id":1674,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:31.123Z","updated_at":"2021-09-30T09:24:31.123Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1677","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:41.369Z","metadata":{"doi":"10.25504/FAIRsharing.t3snf","name":"Gene Wiki","status":"ready","contacts":[{"contact_name":"Benjamin M Good","contact_email":"bgood@scripps.edu"}],"homepage":"http://en.wikipedia.org/wiki/Portal:Gene_Wiki","citations":[],"identifier":1677,"description":"The goal of the Gene Wiki is to apply community intelligence to the annotation of gene and protein function. The Gene Wiki is an informal collection of pages on human genes and proteins, and this effort to develop these pages is tightly coordinated with the Molecular and Cellular Biology Wikiproject. Our specific aims are summarized as follows: To provide a well written and informative Wikipedia article for every notable human gene; To invite participation by interested lay editors, students, professionals, and academics from around the world; To integrate Gene Wiki articles with existing Wikipedia content through the use of internal wiki links increasing the value of both.","abbreviation":"Gene Wiki","data_curation":{"type":"manual","notes":"community curation"},"support_links":[{"url":"https://en.wikipedia.org/wiki/Portal:Gene_Wiki#Gene_Wiki_Editing_FAQ","type":"Wikipedia"},{"url":"https://en.wikipedia.org/wiki/Portal:Gene_Wiki/Discussion","type":"Wikipedia"},{"url":"https://twitter.com/GeneWikiPulse","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Gene_Wiki","type":"Wikipedia"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"url":"https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Molecular_Biology/Genetics/Gene_Wiki","type":"open","notes":"From Wikipedia, the free encyclopedia"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000133","bsg-d000133"],"name":"FAIRsharing record for: Gene Wiki","abbreviation":"Gene Wiki","url":"https://fairsharing.org/10.25504/FAIRsharing.t3snf","doi":"10.25504/FAIRsharing.t3snf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the Gene Wiki is to apply community intelligence to the annotation of gene and protein function. The Gene Wiki is an informal collection of pages on human genes and proteins, and this effort to develop these pages is tightly coordinated with the Molecular and Cellular Biology Wikiproject. Our specific aims are summarized as follows: To provide a well written and informative Wikipedia article for every notable human gene; To invite participation by interested lay editors, students, professionals, and academics from around the world; To integrate Gene Wiki articles with existing Wikipedia content through the use of internal wiki links increasing the value of both.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12607}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Sequence annotation","Genome annotation","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1872,"pubmed_id":22075991,"title":"The Gene Wiki in 2011: community intelligence applied to human gene annotation.","year":2011,"url":"http://doi.org/10.1093/nar/gkr925","authors":"Good BM., Clarke EL., de Alfaro L., Su AI.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr925","created_at":"2021-09-30T08:25:50.565Z","updated_at":"2021-09-30T08:25:50.565Z"},{"id":1873,"pubmed_id":19755503,"title":"The Gene Wiki: community intelligence applied to human gene annotation.","year":2009,"url":"http://doi.org/10.1093/nar/gkp760","authors":"Huss JW., Lindenbaum P., Martone M., Roberts D., Pizarro A., Valafar F., Hogenesch JB., Su AI.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp760","created_at":"2021-09-30T08:25:50.682Z","updated_at":"2021-09-30T08:25:50.682Z"},{"id":1874,"pubmed_id":26989148,"title":"Wikidata as a semantic framework for the Gene Wiki initiative.","year":2016,"url":"http://doi.org/10.1093/database/baw015","authors":"Burgstaller-Muehlbacher S,Waagmeester A,Mitraka E,Turner J,Putman T,Leong J,Naik C,Pavlidis P,Schriml L,Good BM,Su AI","journal":"Database (Oxford)","doi":"10.1093/database/baw015","created_at":"2021-09-30T08:25:50.799Z","updated_at":"2021-09-30T08:25:50.799Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":235,"relation":"undefined"}],"grants":[{"id":430,"fairsharing_record_id":1677,"organisation_id":1117,"relation":"maintains","created_at":"2021-09-30T09:24:31.438Z","updated_at":"2021-09-30T09:24:31.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":1117,"name":"Genomics Institute of the Novartis Research Foundation, San Diego, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":428,"fairsharing_record_id":1677,"organisation_id":729,"relation":"maintains","created_at":"2021-09-30T09:24:31.383Z","updated_at":"2021-09-30T09:24:31.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":729,"name":"Department of Molecular Biology, The Scripps Research Institute, La Jolla, California, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":431,"fairsharing_record_id":1677,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:31.464Z","updated_at":"2021-09-30T09:24:31.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":429,"fairsharing_record_id":1677,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:31.415Z","updated_at":"2021-09-30T09:32:22.497Z","grant_id":1590,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1R01GM083924-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1678","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:35.277Z","metadata":{"doi":"10.25504/FAIRsharing.dd4j8j","name":"Ebola and Hemorrhagic Fever Virus Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"hfv-info@lanl.gov"}],"homepage":"http://hfv.lanl.gov/content/index","citations":[],"identifier":1678,"description":"The Ebola and Hemorrhagic Fever Virus Database stems from the Hemorrhagic Fever Viruses (HFV) Database Project founded by Dr. Carla Kuiken in 2009 at the Los Alamos National Laboratory (LANL). The HFV Database was modeled on the Los Alamos HIV Database, led by Dr. Bette Korber, and translated much of its tools, infrastructure and philosophy from HIV to HFV.","abbreviation":"HFV Database","data_curation":{"type":"automated"},"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000134","bsg-d000134"],"name":"FAIRsharing record for: Ebola and Hemorrhagic Fever Virus Database","abbreviation":"HFV Database","url":"https://fairsharing.org/10.25504/FAIRsharing.dd4j8j","doi":"10.25504/FAIRsharing.dd4j8j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ebola and Hemorrhagic Fever Virus Database stems from the Hemorrhagic Fever Viruses (HFV) Database Project founded by Dr. Carla Kuiken in 2009 at the Los Alamos National Laboratory (LANL). The HFV Database was modeled on the Los Alamos HIV Database, led by Dr. Bette Korber, and translated much of its tools, infrastructure and philosophy from HIV to HFV.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunology","Life Science"],"domains":["Sequence alignment","Viral sequence"],"taxonomies":["Nairovirus","Viruses","Zika virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1625,"pubmed_id":22064861,"title":"The LANL hemorrhagic fever virus database, a new platform for analyzing biothreat viruses.","year":2011,"url":"http://doi.org/10.1093/nar/gkr898","authors":"Kuiken C., Thurmond J., Dimitrijevic M., Yoon H.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr898","created_at":"2021-09-30T08:25:22.145Z","updated_at":"2021-09-30T08:25:22.145Z"}],"licence_links":[],"grants":[{"id":432,"fairsharing_record_id":1678,"organisation_id":2930,"relation":"funds","created_at":"2021-09-30T09:24:31.493Z","updated_at":"2021-09-30T09:24:31.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":2930,"name":"United States Defence Threat Reduction Agency","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9017,"fairsharing_record_id":1678,"organisation_id":1728,"relation":"maintains","created_at":"2022-03-24T09:53:41.069Z","updated_at":"2022-03-24T09:53:41.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory (LANL), Los Alamos, NM, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":9416,"fairsharing_record_id":1678,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.798Z","updated_at":"2022-04-11T12:07:36.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1679","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:33:42.060Z","metadata":{"doi":"10.25504/FAIRsharing.tber4e","name":"Human Integrated Pathway Database","status":"deprecated","contacts":[{"contact_name":"Sanghyuk Lee","contact_email":"sanghyuk@kribb.re.kr"}],"homepage":"http://hipathdb.kobic.re.kr","identifier":1679,"description":"Human Integrated Pathway Database (hiPathDB) provides two different types of integration. The pathway-level integration is a simple collection of individual pathways as described in the original database. The entity-level integration creates a super pathway that merged all pathways by unifying redundant components.","abbreviation":"hiPathDB","data_curation":{"type":"not found"},"support_links":[{"url":"hipathdb-help@kobic.kr","type":"Support email"},{"url":"http://hipathdb.kobic.re.kr/tutorial.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000135","bsg-d000135"],"name":"FAIRsharing record for: Human Integrated Pathway Database","abbreviation":"hiPathDB","url":"https://fairsharing.org/10.25504/FAIRsharing.tber4e","doi":"10.25504/FAIRsharing.tber4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Human Integrated Pathway Database (hiPathDB) provides two different types of integration. The pathway-level integration is a simple collection of individual pathways as described in the original database. The entity-level integration creates a super pathway that merged all pathways by unifying redundant components.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Molecular interaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":180,"pubmed_id":22123737,"title":"hiPathDB: a human-integrated pathway database with facile visualization.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1127","authors":"Yu N., Seo J., Rho K., Jang Y., Park J., Kim WK., Lee S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1127","created_at":"2021-09-30T08:22:39.672Z","updated_at":"2021-09-30T08:22:39.672Z"}],"licence_links":[],"grants":[{"id":436,"fairsharing_record_id":1679,"organisation_id":974,"relation":"funds","created_at":"2021-09-30T09:24:31.631Z","updated_at":"2021-09-30T09:24:31.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":974,"name":"Ewha Womans University","types":["University"],"is_lead":false,"relation":"funds"}},{"id":437,"fairsharing_record_id":1679,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:24:31.654Z","updated_at":"2021-09-30T09:29:46.696Z","grant_id":398,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"R15-2006-020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":435,"fairsharing_record_id":1679,"organisation_id":1647,"relation":"funds","created_at":"2021-09-30T09:24:31.601Z","updated_at":"2021-09-30T09:24:31.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1647,"name":"Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":438,"fairsharing_record_id":1679,"organisation_id":1646,"relation":"maintains","created_at":"2021-09-30T09:24:31.683Z","updated_at":"2021-09-30T09:24:31.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":1646,"name":"Korean Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7921,"fairsharing_record_id":1679,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:29:48.176Z","updated_at":"2021-09-30T09:29:48.226Z","grant_id":411,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0019745","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8232,"fairsharing_record_id":1679,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:31:39.356Z","updated_at":"2021-09-30T09:31:39.403Z","grant_id":1269,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0002321","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1651","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:33.097Z","metadata":{"doi":"10.25504/FAIRsharing.s22qdj","name":"UCSC Genome Browser database","status":"ready","contacts":[{"contact_name":"Public Mailing List","contact_email":"genome@soe.ucsc.edu","contact_orcid":null},{"contact_name":"Private Internal Mailing List","contact_email":"genome-www@soe.ucsc.edu","contact_orcid":null}],"homepage":"http://genome.ucsc.edu","citations":[],"identifier":1651,"description":"Genome assemblies and aligned annotations for a wide range of vertebrates and model organisms, along with an integrated tool set for visualizing, comparing, analyzing and sharing both publicly available and user-generated genomic datasets.","abbreviation":null,"data_curation":{"url":"https://genome.ucsc.edu/goldenPath/help/covidBrowserIntro.html","type":"manual/automated","notes":"Curate a list of user-submitted Public Track Hubs is displayed."},"support_links":[{"url":"genome@soe.ucsc.edu","type":"Support email"},{"url":"http://genome.ucsc.edu/FAQ/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/a/soe.ucsc.edu/forum/?hl=en#!forum/genome","type":"Forum"},{"url":"http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCQnUJepyNOw0p8s2otX4RYQ/videos","name":"Youtube channel","type":"Video"},{"url":"http://genome.ucsc.edu/training.html","type":"Training documentation"},{"url":"https://twitter.com/GenomeBrowser","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/UCSC_Genome_Browser","type":"Wikipedia"},{"url":"http://genome.ucsc.edu/contacts.html","name":"Contact Us link","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://genome.ucsc.edu/cgi-bin/hgBlat","name":"Blat"},{"url":"http://genome.ucsc.edu/cgi-bin/hgPcr","name":"In Silico PCR"},{"url":"http://genome.ucsc.edu/cgi-bin/hgGenome","name":"Genome Graphs"},{"url":"http://genome.ucsc.edu/cgi-bin/hgVisiGene","name":"VisiGene"},{"url":"http://genome.ucsc.edu/cgi-bin/hgLiftOver","name":"liftOver"},{"url":"http://genome.ucsc.edu/cgi-bin/hgVai","name":"Variant Annotation Integrator (VAI)"},{"url":"http://genome.ucsc.edu/cgi-bin/hgIntegrator","name":"Data Integrator"},{"url":"http://genome.ucsc.edu/goldenpath/help/gbib.html","name":"Genome Browser in a Box (virtual machine)"},{"url":"http://genome.ucsc.edu/goldenpath/help/gbic.html","name":"Genome Browser in the Cloud (installation script)"},{"url":"http://api.genome.ucsc.edu/","name":"REST API data interface"},{"url":"http://genome.ucsc.edu/cgi-bin/hgGeneGraph","name":"Gene interactions and pathways from curated databases and text-mining"},{"url":"http://genome.ucsc.edu/cgi-bin/hgPhyloPlace","name":"UShER: Ultrafast Sample placement on Existing tRee"},{"url":"https://cells.ucsc.edu/","name":"UCSC Cell Browser"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010243","name":"re3data:r3d100010243","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005780","name":"SciCrunch:RRID:SCR_005780","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"http://genome.ucsc.edu/goldenPath/credits.html","name":"Credits"},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000107","bsg-d000107"],"name":"FAIRsharing record for: UCSC Genome Browser database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.s22qdj","doi":"10.25504/FAIRsharing.s22qdj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genome assemblies and aligned annotations for a wide range of vertebrates and model organisms, along with an integrated tool set for visualizing, comparing, analyzing and sharing both publicly available and user-generated genomic datasets.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11052},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12297},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12597},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16184}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Immunology","Life Science","Transcriptomics","Comparative Genomics","Microbiology"],"domains":["Expression data","DNA sequence data","Annotation","Sequence annotation","Gene prediction","Sequence composition, complexity and repeats","DNA structural variation","Deoxyribonucleic acid","Ribonucleic acid","Regulation of gene expression","Biological regulation","Genetic polymorphism","Sequence alignment","DNA microarray","Disease phenotype","Sequence","Messenger RNA","Gene","Genome","Regulatory region","Indel","Genotype"],"taxonomies":["Ailuropoda melanoleuca","Alligator Mississippiensis","Balaenoptera acutorostrata scammoni","Bos taurus","Caenorhabditis elegans","Callithrix jacchus","Canis familiaris","Cavia porcellus","Ceratotherium simum","Choloepus hoffmanni","Cricetulus griseus","Danio rerio","Dasypus novemcinctus","Dipodomys ordii","Echinops telfairi","Equus caballus","Felis catus","Gallus gallus","Gorilla gorilla gorilla","Heterocephalus glaber","Homo sapiens","Loxodonta africana","Macaca mulatta","Macropus eugenii","Microcebus murinus","Monodelphis domestica","Mus musculus","Mustela putorius furo","Myotis lucifugus","Nomascus leucogenys","Ochotona princeps","Ornithorhynchus anatinus","Oryctolagus cuniculus","Oryzias latipes","Otolemur garnettii","Ovis aries","Pan paniscus","Pan troglodytes","Papio anubis","Pongo pygmaeus abelii","Procavia capensis","Pteropus vampyrus","Rattus norvegicus","Saimiri boliviensis","Sarcophilus harrisii","SARS-CoV-2","Sorex araneus","Spermophilus tridecemlineatus","Sus scrofa","Takifugu rubripes","Tarsius syrichta","Tetraodon nigroviridis","Trichechus manatus latirostris","Tupaia belangeri","Tursiops truncatus","Vicugna pacos","Xenopus tropicalis"],"user_defined_tags":["COVID-19","Uniqueness mapping"],"countries":["United States"],"publications":[{"id":202,"pubmed_id":14681465,"title":"The UCSC Table Browser data retrieval tool.","year":2003,"url":"http://doi.org/10.1093/nar/gkh103","authors":"Karolchik D., Hinrichs AS., Furey TS., Roskin KM., Sugnet CW., Haussler D., Kent WJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh103","created_at":"2021-09-30T08:22:42.065Z","updated_at":"2021-09-30T08:22:42.065Z"},{"id":203,"pubmed_id":11932250,"title":"BLAT--the BLAST-like alignment tool.","year":2002,"url":"http://doi.org/10.1101/gr.229202","authors":"Kent WJ.,","journal":"Genome Res.","doi":"10.1101/gr.229202","created_at":"2021-09-30T08:22:42.164Z","updated_at":"2021-09-30T08:22:42.164Z"},{"id":594,"pubmed_id":15867434,"title":"Exploring relationships and mining data with the UCSC Gene Sorter","year":2005,"url":"http://doi.org/10.1101/gr.3694705","authors":"Kent WJ, Hsu F, Karolchik D, Kuhn RM, Clawson H, Trumbower H, Haussler D","journal":"Genome Res.","doi":"10.1101/gr.3694705","created_at":"2021-09-30T08:23:25.168Z","updated_at":"2021-09-30T08:23:25.168Z"},{"id":951,"pubmed_id":23155063,"title":"The UCSC Genome Browser database: extensions and updates 2013","year":2012,"url":"http://doi.org/10.1093/nar/gks1048","authors":"Meyer LR, Zweig AS, Hinrichs AS, Karolchik D, Kuhn RM, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1048","created_at":"2021-09-30T08:24:05.228Z","updated_at":"2021-09-30T11:28:55.884Z"},{"id":952,"pubmed_id":23255150,"title":"The UCSC Genome Browser","year":2012,"url":"http://doi.org/10.1002/0471250953.bi0104s40","authors":"Karolchik D, Hinrichs AS, Kent WJ","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0104s40","created_at":"2021-09-30T08:24:05.321Z","updated_at":"2021-09-30T08:24:05.321Z"},{"id":1010,"pubmed_id":27899642,"title":"The UCSC Genome Browser database: 2017 update.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1134","authors":"Tyner C, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1134","created_at":"2021-09-30T08:24:11.831Z","updated_at":"2021-09-30T11:28:56.717Z"},{"id":1301,"pubmed_id":23193274,"title":"ENCODE data in the UCSC Genome Browser: year 5 update","year":2012,"url":"http://doi.org/10.1093/nar/gks1172","authors":"Rosenbloom KR, Sloan CA, Malladi VS, Dreszer TR, Learned K, Kirkup VM, Wong MC, Maddren M, Fang R, Heitner SG, Lee BT, Barber GP, Harte RA, Diekhans M, Long JC, Wilder SP, Zweig AS, Karolchik D, Kuhn RM, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1172","created_at":"2021-09-30T08:24:45.301Z","updated_at":"2021-09-30T08:24:45.301Z"},{"id":2696,"pubmed_id":33024970,"title":"Ultrafast Sample Placement on Existing Trees (UShER) Empowers Real-Time Phylogenetics for the SARS-CoV-2 Pandemic.","year":2020,"url":"http://doi.org/2020.09.26.314971","authors":"Turakhia Y,Thornlow B,Hinrichs AS,De Maio N,Gozashti L,Lanfear R,Haussler D,Corbett-Detig R","journal":"BioRxiv","doi":"2020.09.26.314971","created_at":"2021-09-30T08:27:31.080Z","updated_at":"2021-09-30T11:28:40.294Z"},{"id":2700,"pubmed_id":32266012,"title":"The UCSC repeat browser allows discovery and visualization of evolutionary conflict across repeat families.","year":2020,"url":"http://doi.org/10.1186/s13100-020-00208-w","authors":"Fernandes JD,Zamudio-Hurtado A,Clawson H,Kent WJ,Haussler D,Salama SR,Haeussler M","journal":"Mob DNA","doi":"10.1186/s13100-020-00208-w","created_at":"2021-09-30T08:27:31.647Z","updated_at":"2021-09-30T08:27:31.647Z"},{"id":2738,"pubmed_id":33221922,"title":"The UCSC Genome Browser database: 2021 update.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1070","authors":"Navarro Gonzalez J,Zweig AS,Speir ML,Schmelter D,Rosenbloom KR,Raney BJ,Powell CC,Nassar LR,Maulding ND,Lee CM,Lee BT,Hinrichs AS,Fyfe AC,Fernandes JD,Diekhans M,Clawson H,Casper J,Benet-Pages A,Barber GP,Haussler D,Kuhn RM,Haeussler M,Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1070","created_at":"2021-09-30T08:27:36.286Z","updated_at":"2021-09-30T11:29:42.245Z"},{"id":2739,"pubmed_id":32908258,"title":"The UCSC SARS-CoV-2 Genome Browser.","year":2020,"url":"http://doi.org/10.1038/s41588-020-0700-8","authors":"Fernandes JD,Hinrichs AS,Clawson H,Gonzalez JN,Lee BT,Nassar LR,Raney BJ,Rosenbloom KR,Nerli S,Rao AA,Schmelter D,Fyfe A,Maulding N,Zweig AS,Lowe TM,Ares M Jr,Corbet-Detig R,Kent WJ,Haussler D,Haeussler M","journal":"Nat Genet","doi":"10.1038/s41588-020-0700-8","created_at":"2021-09-30T08:27:36.404Z","updated_at":"2021-09-30T08:27:36.404Z"},{"id":2875,"pubmed_id":12045153,"title":"The human genome browser at UCSC","year":2002,"url":"http://doi.org/10.1101/gr.229102","authors":"Kent WJ., Sugnet CW., Furey TS., Roskin KM., Pringle TH., Zahler AM., Haussler D.,","journal":"Genome Res.","doi":"10.1101/gr.229102","created_at":"2021-09-30T08:27:53.947Z","updated_at":"2021-09-30T08:27:53.947Z"},{"id":2876,"pubmed_id":11237011,"title":"Initial sequencing and analysis of the human genome","year":2001,"url":"http://doi.org/10.1038/35057062","authors":"Lander ES., Linton LM., Birren B., Nusbaum C., Zody MC., Baldwin J., Devon K., Dewar K., Doyle M., FitzHugh W., Funke R. et al.","journal":"Nature","doi":"10.1038/35057062","created_at":"2021-09-30T08:27:54.057Z","updated_at":"2021-09-30T08:27:54.057Z"},{"id":2877,"pubmed_id":11544197,"title":"Assembly of the working draft of the human genome with GigAssembler.","year":2001,"url":"http://doi.org/10.1101/gr.183201","authors":"Kent WJ., Haussler D.,","journal":"Genome Res.","doi":"10.1101/gr.183201","created_at":"2021-09-30T08:27:54.165Z","updated_at":"2021-09-30T08:27:54.165Z"},{"id":2878,"pubmed_id":26590259,"title":"The UCSC Genome Browser database: 2016 update.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1275","authors":"Speir ML,Zweig AS,Rosenbloom KR,Raney BJ,Paten B,Nejad P,Lee BT,Learned K,Karolchik D,Hinrichs AS,Heitner S,Harte RA,Haeussler M,Guruvadoo L,Fujita PA,Eisenhart C,Diekhans M,Clawson H,Casper J,Barber GP,Haussler D,Kuhn RM,Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1275","created_at":"2021-09-30T08:27:54.279Z","updated_at":"2021-09-30T11:29:47.779Z"},{"id":2879,"pubmed_id":25428374,"title":"The UCSC Genome Browser database: 2015 update.","year":2014,"url":"http://doi.org/10.1093/nar/gku1177","authors":"Rosenbloom KR et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1177","created_at":"2021-09-30T08:27:54.395Z","updated_at":"2021-09-30T11:29:47.931Z"},{"id":2880,"pubmed_id":31691824,"title":"UCSC Genome Browser enters 20th year.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1012","authors":"Lee CM, Barber GP, Casper J, Clawson H, Diekhans M, Gonzalez JN, Hinrichs AS, Lee BT, Nassar LR, Powell CC, Raney BJ, Rosenbloom KR, Schmelter D, Speir ML, Zweig AS, Haussler D, Haeussler M, Kuhn RM, Kent WJ.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkz1012","created_at":"2021-09-30T08:27:54.514Z","updated_at":"2021-09-30T08:27:54.514Z"},{"id":2881,"pubmed_id":30407534,"title":"The UCSC Genome Browser database: 2019 update","year":2018,"url":"http://doi.org/10.1093/nar/gky1095","authors":"Haeussler M, Zweig AS, Tyner C, Speir ML, Rosenbloom KR, Raney BJ, Lee CM, Lee BT, Hinrichs AS, Gonzalez JN, Gibson D, Diekhans M, Clawson H, Casper J, Barber GP, Haussler D, Kuhn RM, Kent WJ.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gky1095","created_at":"2021-09-30T08:27:54.673Z","updated_at":"2021-09-30T08:27:54.673Z"},{"id":2882,"pubmed_id":29106570,"title":"The UCSC Genome Browser database: 2018 update.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1020","authors":"Casper J, et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkx1020","created_at":"2021-09-30T08:27:54.798Z","updated_at":"2021-09-30T08:27:54.798Z"},{"id":3128,"pubmed_id":34718705,"title":"The UCSC Genome Browser database: 2022 update.","year":2021,"url":"https://doi.org/10.1093/nar/gkab959","authors":"Lee BT, Barber GP, Benet-Pagès A, Casper J, Clawson H, Diekhans M, Fischer C, Gonzalez JN, Hinrichs AS, Lee CM, Muthuraman P, Nassar LR, Nguy B, Pereira T, Perez G, Raney BJ, Rosenbloom KR, Schmelter D, Speir ML, Wick BD, Zweig AS, Haussler D, Kuhn RM, Haeussler M, Kent WJ","journal":"Nucleic acids research","doi":"10.1093/nar/gkab959","created_at":"2021-11-08T21:48:40.545Z","updated_at":"2021-11-08T21:48:40.545Z"}],"licence_links":[{"licence_name":"UCSC Genome Browser Code - License required for commercial use","licence_id":801,"licence_url":"http://genome.ucsc.edu/license/","link_id":265,"relation":"undefined"}],"grants":[{"id":347,"fairsharing_record_id":1651,"organisation_id":1118,"relation":"maintains","created_at":"2021-09-30T09:24:28.251Z","updated_at":"2021-09-30T09:24:28.251Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":348,"fairsharing_record_id":1651,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:28.317Z","updated_at":"2021-09-30T09:24:28.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1652","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:38.198Z","metadata":{"doi":"10.25504/FAIRsharing.ne6jza","name":"zfishbook","status":"ready","contacts":[{"contact_name":"Karl Clark","contact_email":"clark.karl@mayo.edu","contact_orcid":"0000-0002-9637-0967"}],"homepage":"http://www.zfishbook.org","citations":[],"identifier":1652,"description":"Zfishbook is a real-time database of transposon-labeled mutants in zebrafish. This resource provides services for any size of GBT mutagenesis projects on zebrafish to encourage collaboration in the research community.","abbreviation":"zfishbook","data_curation":{"url":"https://www.zfishmeta.org/","type":"manual","notes":"Consider registering to help annotate your favorite tissues and expression domains."},"support_links":[{"url":"http://www.zfishbook.org/profiles.php?uid=2","type":"Contact form"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=newUserTutorialsDetails","type":"Training documentation"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=newUserTutorialsDetails","type":"Training documentation"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=newUserTutorialsDetails#registration","type":"Training documentation"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000108","bsg-d000108"],"name":"FAIRsharing record for: zfishbook","abbreviation":"zfishbook","url":"https://fairsharing.org/10.25504/FAIRsharing.ne6jza","doi":"10.25504/FAIRsharing.ne6jza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Zfishbook is a real-time database of transposon-labeled mutants in zebrafish. This resource provides services for any size of GBT mutagenesis projects on zebrafish to encourage collaboration in the research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Life Science"],"domains":["Expression data","Transposon integration","Phenotype"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":168,"pubmed_id":20528262,"title":"SCORE imaging: specimen in a corrected optical rotational enclosure.","year":2010,"url":"http://doi.org/10.1089/zeb.2010.0660","authors":"Petzold AM., Bedell VM., Boczek NJ., Essner JJ., Balciunas D., Clark KJ., Ekker SC.,","journal":"Zebrafish","doi":"10.1089/zeb.2010.0660","created_at":"2021-09-30T08:22:38.448Z","updated_at":"2021-09-30T08:22:38.448Z"},{"id":169,"pubmed_id":19858493,"title":"Nicotine response genetics in the zebrafish.","year":2009,"url":"http://doi.org/10.1073/pnas.0908247106","authors":"Petzold AM., Balciunas D., Sivasubbu S., Clark KJ., Bedell VM., Westcot SE., Myers SR., Moulder GL., Thomas MJ., Ekker SC.,","journal":"Proc. Natl. Acad. Sci. U.S.A.","doi":"10.1073/pnas.0908247106","created_at":"2021-09-30T08:22:38.539Z","updated_at":"2021-09-30T08:22:38.539Z"},{"id":1517,"pubmed_id":21552255,"title":"In vivo protein trapping produces a functional expression codex of the vertebrate proteome.","year":2011,"url":"http://doi.org/10.1038/nmeth.1606","authors":"Clark KJ., Balciunas D., Pogoda HM., Ding Y., Westcot SE., Bedell VM., Greenwood TM., Urban MD., Skuster KJ., Petzold AM., Ni J., Nielsen AL., Patowary A., Scaria V., Sivasubbu S., Xu X., Hammerschmidt M., Ekker SC.,","journal":"Nat. Methods","doi":"10.1038/nmeth.1606","created_at":"2021-09-30T08:25:09.802Z","updated_at":"2021-09-30T08:25:09.802Z"},{"id":1518,"pubmed_id":16859902,"title":"Gene-breaking transposon mutagenesis reveals an essential role for histone H2afza in zebrafish larval development.","year":2006,"url":"http://doi.org/10.1016/j.mod.2006.06.002","authors":"Sivasubbu S., Balciunas D., Davidson AE., Pickart MA., Hermanson SB., Wangensteen KJ., Wolbrink DC., Ekker SC.,","journal":"Mech. Dev.","doi":"10.1016/j.mod.2006.06.002","created_at":"2021-09-30T08:25:09.911Z","updated_at":"2021-09-30T08:25:09.911Z"},{"id":1519,"pubmed_id":22067444,"title":"zfishbook: connecting you to a world of zebrafish revertible mutants.","year":2011,"url":"http://doi.org/10.1093/nar/gkr957","authors":"Clark KJ,Argue DP,Petzold AM,Ekker SC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr957","created_at":"2021-09-30T08:25:10.067Z","updated_at":"2021-09-30T11:29:11.926Z"}],"licence_links":[],"grants":[{"id":350,"fairsharing_record_id":1652,"organisation_id":1799,"relation":"maintains","created_at":"2021-09-30T09:24:28.434Z","updated_at":"2021-09-30T09:24:28.434Z","grant_id":null,"is_lead":false,"saved_state":{"id":1799,"name":"Mayo Clinic, Scottsdale, AZ, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":349,"fairsharing_record_id":1652,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:28.376Z","updated_at":"2021-09-30T09:31:22.317Z","grant_id":1139,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM63904","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":352,"fairsharing_record_id":1652,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:24:28.529Z","updated_at":"2021-09-30T09:32:37.764Z","grant_id":1707,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"DA14546","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":354,"fairsharing_record_id":1652,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:28.605Z","updated_at":"2021-09-30T09:24:28.605Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":353,"fairsharing_record_id":1652,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:28.566Z","updated_at":"2021-09-30T09:30:49.249Z","grant_id":886,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG 006431","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":351,"fairsharing_record_id":1652,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:28.493Z","updated_at":"2021-09-30T09:31:53.934Z","grant_id":1377,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"P30 DK084567","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1653","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:40.538Z","metadata":{"doi":"10.25504/FAIRsharing.710xh8","name":"Database for Bacterial Group II Introns","status":"ready","contacts":[{"contact_name":"Steven Zimmerly","contact_email":"zimmerly@ucalgary.ca"}],"homepage":"http://webapps2.ucalgary.ca/~groupii","citations":[],"identifier":1653,"description":"Database for identification and cataloguing of group II introns. All bacterial introns listed are full-length and appear to be functional, based on intron RNA and IEP characteristics. The database names the full-length introns, and provides information on their boundaries, host genes, and secondary structures. In addition, the website provides tools for analysis that may be useful to researchers who encounter group II introns in DNA sequences.","abbreviation":"Group II introns database","data_curation":{"type":"not found"},"support_links":[{"url":"http://webapps2.ucalgary.ca/~groupii/html/static/howtofind.php","name":"How to find a group II intron","type":"Help documentation"},{"url":"http://webapps2.ucalgary.ca/~groupii/html/static/intro.php","name":"Introduction","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","associated_tools":[{"url":"http://webapps2.ucalgary.ca/~groupii/html/static/blast.php","name":"blast and download"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012723","name":"re3data:r3d100012723","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000109","bsg-d000109"],"name":"FAIRsharing record for: Database for Bacterial Group II Introns","abbreviation":"Group II introns database","url":"https://fairsharing.org/10.25504/FAIRsharing.710xh8","doi":"10.25504/FAIRsharing.710xh8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database for identification and cataloguing of group II introns. All bacterial introns listed are full-length and appear to be functional, based on intron RNA and IEP characteristics. The database names the full-length introns, and provides information on their boundaries, host genes, and secondary structures. In addition, the website provides tools for analysis that may be useful to researchers who encounter group II introns in DNA sequences.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12598}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Life Science"],"domains":["RNA secondary structure","Protein domain","Taxonomic classification","Deoxyribonucleic acid","Ribonucleic acid","Host","Exon","Intron","Group II intron","Mitochondrial sequence","Chloroplast sequence","Amino acid sequence"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["ORF-less introns"],"countries":["Canada"],"publications":[{"id":155,"pubmed_id":12520040,"title":"Database for mobile group II introns.","year":2003,"url":"http://doi.org/10.1093/nar/gkg049","authors":"Dai L., Toor N., Olson R., Keeping A., Zimmerly S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg049","created_at":"2021-09-30T08:22:36.880Z","updated_at":"2021-09-30T08:22:36.880Z"},{"id":1476,"pubmed_id":11861899,"title":"Compilation and analysis of group II intron insertions in bacterial genomes: evidence for retroelement behavior.","year":2002,"url":"http://doi.org/10.1093/nar/30.5.1091","authors":"Dai L., Zimmerly S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.5.1091","created_at":"2021-09-30T08:25:05.189Z","updated_at":"2021-09-30T08:25:05.189Z"},{"id":1830,"pubmed_id":12554871,"title":"ORF-less and reverse-transcriptase-encoding group II introns in archaebacteria, with a pattern of homing into related group II intron ORFs.","year":2003,"url":"http://doi.org/10.1261/rna.2126203","authors":"Dai L., Zimmerly S.,","journal":"RNA","doi":"10.1261/rna.2126203","created_at":"2021-09-30T08:25:45.538Z","updated_at":"2021-09-30T08:25:45.538Z"},{"id":2367,"pubmed_id":18676618,"title":"Group II introns in eubacteria and archaea: ORF-less introns and new varieties.","year":2008,"url":"http://doi.org/10.1261/rna.1056108","authors":"Simon DM., Clarke NA., McNeil BA., Johnson I., Pantuso D., Dai L., Chai D., Zimmerly S.,","journal":"RNA","doi":"10.1261/rna.1056108","created_at":"2021-09-30T08:26:51.005Z","updated_at":"2021-09-30T08:26:51.005Z"}],"licence_links":[],"grants":[{"id":356,"fairsharing_record_id":1653,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:28.683Z","updated_at":"2021-09-30T09:30:11.780Z","grant_id":593,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","grant":"MOP-49457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":355,"fairsharing_record_id":1653,"organisation_id":3278,"relation":"maintains","created_at":"2021-09-30T09:24:28.642Z","updated_at":"2021-09-30T09:24:28.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":3278,"name":"Zimmerly Lab, Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada.","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1670","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:24:30.266Z","metadata":{"doi":"10.25504/FAIRsharing.hgrpah","name":"NRG-CING","status":"deprecated","contacts":[],"homepage":"http://nmr.cmbi.ru.nl/NRG-CING","citations":[],"identifier":1670,"description":"Validated NMR structures of proteins and nucleic acids.","abbreviation":"NRG-CING","data_curation":{"type":"not found"},"support_links":[{"url":"http://143.210.185.204/NRG-CING/HTML/help.html","type":"Help documentation"},{"url":"http://143.210.185.204/NRG-CING/HTML/helpTutorials.html","type":"Training documentation"}],"year_creation":2008,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000126","bsg-d000126"],"name":"FAIRsharing record for: NRG-CING","abbreviation":"NRG-CING","url":"https://fairsharing.org/10.25504/FAIRsharing.hgrpah","doi":"10.25504/FAIRsharing.hgrpah","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Validated NMR structures of proteins and nucleic acids.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12605}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Protein structure","Nucleic acid sequence","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":["Validation"],"countries":["Netherlands"],"publications":[{"id":175,"pubmed_id":22139937,"title":"NRG-CING: integrated validation reports of remediated experimental biomolecular NMR data and coordinates in wwPDB.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1134","authors":"Doreleijers JF., Vranken WF., Schulte C., Markley JL., Ulrich EL., Vriend G., Vuister GW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1134","created_at":"2021-09-30T08:22:39.156Z","updated_at":"2021-09-30T08:22:39.156Z"}],"licence_links":[],"grants":[{"id":405,"fairsharing_record_id":1670,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:30.401Z","updated_at":"2021-09-30T09:24:30.401Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":406,"fairsharing_record_id":1670,"organisation_id":1389,"relation":"maintains","created_at":"2021-09-30T09:24:30.439Z","updated_at":"2021-09-30T09:24:30.439Z","grant_id":null,"is_lead":false,"saved_state":{"id":1389,"name":"Institute for Molecules and Materials (IMM), Radboud University, Nijmegen, The Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1671","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:15.232Z","metadata":{"doi":"10.25504/FAIRsharing.etqbej","name":"Pocket Similarity Search using Multiple-Sketches","status":"ready","contacts":[{"contact_name":"Kentaro Tomii","contact_email":"k-tomii@aist.go.jp"}],"homepage":"http://possum.cbrc.jp/PoSSuM/","citations":[],"identifier":1671,"description":"POcket Similarity Search Using Multiple-Sketches (PoSSuM) includes all the discovered protein-small molecule binding site pairs with annotations of various types (e.g., UniProt, CATH, SCOP, SCOPe, EC number and Gene ontology). PoSSuM enables rapid exploration of similar binding sites among structures with different global folds as well as similar folds. Moreover, PoSSuM is useful for predicting the binding ligand for unbound structures.","abbreviation":"PoSSuM","data_curation":{"type":"automated"},"support_links":[{"url":"http://possum.cbrc.jp/PoSSuM/dataset_help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"url":"https://possum.cbrc.pj.aist.go.jp/PoSSuM/","type":"open","notes":"The PoSSuM database is freely available for all researchers"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000127","bsg-d000127"],"name":"FAIRsharing record for: Pocket Similarity Search using Multiple-Sketches","abbreviation":"PoSSuM","url":"https://fairsharing.org/10.25504/FAIRsharing.etqbej","doi":"10.25504/FAIRsharing.etqbej","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: POcket Similarity Search Using Multiple-Sketches (PoSSuM) includes all the discovered protein-small molecule binding site pairs with annotations of various types (e.g., UniProt, CATH, SCOP, SCOPe, EC number and Gene ontology). PoSSuM enables rapid exploration of similar binding sites among structures with different global folds as well as similar folds. Moreover, PoSSuM is useful for predicting the binding ligand for unbound structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Binding site prediction","Protein interaction","Small molecule binding","Ligand binding domain binding"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":190,"pubmed_id":22135290,"title":"PoSSuM: a database of similar protein-ligand binding and putative pockets.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1130","authors":"Ito J., Tabei Y., Shimizu K., Tsuda K., Tomii K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1130","created_at":"2021-09-30T08:22:40.814Z","updated_at":"2021-09-30T08:22:40.814Z"},{"id":191,"pubmed_id":22113700,"title":"PDB-scale analysis of known and putative ligand-binding sites with structural sketches.","year":2011,"url":"http://doi.org/10.1002/prot.23232","authors":"Ito J., Tabei Y., Shimizu K., Tomii K., Tsuda K.,","journal":"Proteins","doi":"10.1002/prot.23232","created_at":"2021-09-30T08:22:40.916Z","updated_at":"2021-09-30T08:22:40.916Z"},{"id":1579,"pubmed_id":25404129,"title":"PoSSuM v.2.0: data update and a new function for investigating ligand analogs and target proteins of small-molecule drugs.","year":2014,"url":"http://doi.org/10.1093/nar/gku1144","authors":"Ito J,Ikeda K,Yamada K,Mizuguchi K,Tomii K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1144","created_at":"2021-09-30T08:25:17.027Z","updated_at":"2021-09-30T11:29:14.511Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":151,"relation":"undefined"}],"grants":[{"id":410,"fairsharing_record_id":1671,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:24:30.769Z","updated_at":"2021-09-30T09:24:30.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":408,"fairsharing_record_id":1671,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:24:30.695Z","updated_at":"2021-09-30T09:30:10.689Z","grant_id":586,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"KAKENHI 23500374","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":407,"fairsharing_record_id":1671,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:30.472Z","updated_at":"2021-09-30T09:24:30.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":409,"fairsharing_record_id":1671,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:24:30.731Z","updated_at":"2021-09-30T09:24:30.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1672","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:36:32.619Z","metadata":{"doi":"10.25504/FAIRsharing.5mr9c5","name":"SitEx database of eukaryotic protein functional sites","status":"deprecated","contacts":[{"contact_name":"Irina Medvedeva","contact_email":"brukaro@bionet.nsc.ru"}],"homepage":"http://www-bionet.sscc.ru/sitex/","identifier":1672,"description":"SitEx is a database containing information on eukaryotic protein functional sites. It stores the amino acid sequence positions in the functional site, in relation to the exon structure of encoding gene This can be used to detect the exons involved in shuffling in protein evolution, or to design protein-engineering experiments.","abbreviation":"SitEx","data_curation":{"type":"not found"},"support_links":[{"url":"http://www-bionet.sscc.ru/sitex/help.php","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/SitEx","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://www-bionet.sscc.ru/sitex/blast.php","name":"blast"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000128","bsg-d000128"],"name":"FAIRsharing record for: SitEx database of eukaryotic protein functional sites","abbreviation":"SitEx","url":"https://fairsharing.org/10.25504/FAIRsharing.5mr9c5","doi":"10.25504/FAIRsharing.5mr9c5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SitEx is a database containing information on eukaryotic protein functional sites. It stores the amino acid sequence positions in the functional site, in relation to the exon structure of encoding gene This can be used to detect the exons involved in shuffling in protein evolution, or to design protein-engineering experiments.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12606}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Protein domain","Binding motif","Structure","Sequence","Coding sequence","Amino acid sequence"],"taxonomies":["Anopheles gambiae","Ascaris suum","Bos taurus","Caenorhabditis elegans","Canis familiaris","Cavia porcellus","Danio rerio","Echis multisquamatus","Equus caballus","Eukaryota","Gallus gallus","Homo sapiens","Mus musculus","Oryctolagus cuniculus","Protobothrops flavoviridis","Rattus norvegicus","Sus scrofa","Xenopus tropicalis"],"user_defined_tags":["Discontinuity coefficient"],"countries":["Russia"],"publications":[{"id":196,"pubmed_id":22139920,"title":"SitEx: a computer system for analysis of projections of protein functional sites on eukaryotic genes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1187","authors":"Medvedeva I., Demenkov P., Kolchanov N., Ivanisenko V.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1187","created_at":"2021-09-30T08:22:41.439Z","updated_at":"2021-09-30T08:22:41.439Z"}],"licence_links":[],"grants":[{"id":414,"fairsharing_record_id":1672,"organisation_id":2198,"relation":"maintains","created_at":"2021-09-30T09:24:30.918Z","updated_at":"2021-09-30T09:24:30.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":2198,"name":"Novosibirsk State University, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":411,"fairsharing_record_id":1672,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:30.819Z","updated_at":"2021-09-30T09:30:19.037Z","grant_id":653,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"260429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":412,"fairsharing_record_id":1672,"organisation_id":2775,"relation":"maintains","created_at":"2021-09-30T09:24:30.858Z","updated_at":"2021-09-30T09:24:30.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":2775,"name":"The Federal Research Center Institute of Cytology and Genetics Lab, Novosibirsk, Russia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":413,"fairsharing_record_id":1672,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:24:30.888Z","updated_at":"2021-09-30T09:30:29.332Z","grant_id":732,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"14.740.11.0001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8221,"fairsharing_record_id":1672,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:31:37.448Z","updated_at":"2021-09-30T09:31:37.500Z","grant_id":1254,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"07.514.11.4003","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9325,"fairsharing_record_id":1672,"organisation_id":2474,"relation":"funds","created_at":"2022-04-11T12:07:30.538Z","updated_at":"2022-04-11T12:07:30.554Z","grant_id":1347,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"11-04-92712","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1661","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:38:11.678Z","metadata":{"doi":"10.25504/FAIRsharing.5q1p14","name":"Joint Genome Institute, Genomes OnLine Database","status":"ready","contacts":[{"contact_name":"T.B.K. Reddy","contact_email":"tbreddy@lbl.gov"}],"homepage":"https://gold.jgi.doe.gov/","citations":[{"doi":"10.1093/nar/gkac974","pubmed_id":null,"publication_id":3812}],"identifier":1661,"description":"Genomes Online Database, is a World Wide Web resource for comprehensive access to information regarding genome and metagenome sequencing projects, and their associated metadata, around the world. Information in GOLD is organized into levels to include Study, Organism or Biosample, Sequencing Project (SP), and Analysis Project (AP). All four levels, along with their complex list of metadata fields and controlled vocabulary (CV) terms, are connected to each other in a lucid framework to enhance scientific discovery. GOLD is a curated resource serving the research community and your input is critical to ensure high quality, accurate metadata in GOLD. ","abbreviation":"JGI-GOLD","data_curation":{"url":"https://gold.jgi.doe.gov/help","type":"manual"},"support_links":[{"url":"https://gold.jgi.doe.gov/news","name":"News","type":"Blog/News"},{"url":"https://en.wikipedia.org/wiki/Genomes_OnLine_Database","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"https://gold.jgi.doe.gov/help#","name":"Report an issue or send a message to GOLD","type":"Contact form"},{"url":"https://gold.jgi.doe.gov/resources/project_help_doc.pdf","name":"GOLD Project Entry Help Document","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/resources/Standardized_Metagenome_Naming.pdf","name":"GOLD Standardized Metagenome Naming Document","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/resources/Guidance_import_NCBI_genomes_metagenomes_to_GOLD_IMG.pdf","name":"Guidance on submitting public NCBI genomes and metagenomes into GOLD and IMG","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/resources/Metagenome-Assembled-Genomes-Naming-Standards.pdf","name":"Standardized Metagenome-Assembled Genome (MAG) naming in GOLD","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/help","name":"Help Page","type":"Help documentation"},{"url":"https://jgi.doe.gov/accessibility-section-508-statement/","name":"Accessibility / Section 508 Statement","type":"Other"}],"year_creation":1997,"data_versioning":"no","associated_tools":[{"url":"https://gold.jgi.doe.gov/biosamplemap","name":"Biosample Distribution Map"},{"url":"https://gold.jgi.doe.gov/organismmap","name":"Organism Distribution Map"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010808","name":"re3data:r3d100010808","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002817","name":"SciCrunch:RRID:SCR_002817","portal":"SciCrunch"}],"data_access_condition":{"url":"https://gold.jgi.doe.gov/usagepolicy","type":"partially open","notes":"Public metadata is accessible for research purposes."},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gold.jgi.doe.gov/resources/Guidance_import_NCBI_genomes_metagenomes_to_GOLD_IMG.pdf","type":"open","notes":"GOLD allows for the curation of project metadata related to sequence data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000117","bsg-d000117"],"name":"FAIRsharing record for: Joint Genome Institute, Genomes OnLine Database","abbreviation":"JGI-GOLD","url":"https://fairsharing.org/10.25504/FAIRsharing.5q1p14","doi":"10.25504/FAIRsharing.5q1p14","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genomes Online Database, is a World Wide Web resource for comprehensive access to information regarding genome and metagenome sequencing projects, and their associated metadata, around the world. Information in GOLD is organized into levels to include Study, Organism or Biosample, Sequencing Project (SP), and Analysis Project (AP). All four levels, along with their complex list of metadata fields and controlled vocabulary (CV) terms, are connected to each other in a lucid framework to enhance scientific discovery. GOLD is a curated resource serving the research community and your input is critical to ensure high quality, accurate metadata in GOLD. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12601},{"linking_record_name":"Department of Energy Office of Science Public Reusable Research Data Resources","linking_record_id":5364,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19185}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Phylogenetics","Metabolomics"],"domains":["Genome map","Taxonomic classification","Biological sample annotation","Annotation","Biological sample","Protocol","Study design","Phenotype","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":152,"pubmed_id":11125068,"title":"Genomes OnLine Database (GOLD): a monitor of genome projects world-wide.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.126","authors":"Bernal A., Ear U., Kyrpides N.,","journal":"Nucleic Acids Res.","doi":"11125068","created_at":"2021-09-30T08:22:36.522Z","updated_at":"2021-09-30T08:22:36.522Z"},{"id":164,"pubmed_id":17981842,"title":"The Genomes On Line Database (GOLD) in 2007: status of genomic and metagenomic projects and their associated metadata.","year":2007,"url":"http://doi.org/10.1093/nar/gkm884","authors":"Liolios K., Mavromatis K., Tavernarakis N., Kyrpides NC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm884","created_at":"2021-09-30T08:22:38.080Z","updated_at":"2021-09-30T08:22:38.080Z"},{"id":1543,"pubmed_id":10498782,"title":"Genomes OnLine Database (GOLD 1.0): a monitor of complete and ongoing genome projects world-wide.","year":1999,"url":"http://doi.org/10.1093/bioinformatics/15.9.773","authors":"Kyrpides NC.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/15.9.773","created_at":"2021-09-30T08:25:12.802Z","updated_at":"2021-09-30T08:25:12.802Z"},{"id":3075,"pubmed_id":19914934,"title":"The Genomes On Line Database (GOLD) in 2009: status of genomic and metagenomic projects and their associated metadata.","year":2009,"url":"http://doi.org/10.1093/nar/gkp848","authors":"Liolios K., Chen IM., Mavromatis K., Tavernarakis N., Hugenholtz P., Markowitz VM., Kyrpides NC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp848","created_at":"2021-09-30T08:28:18.900Z","updated_at":"2021-09-30T08:28:18.900Z"},{"id":3081,"pubmed_id":30357420,"title":"Genomes OnLine database (GOLD) v.7: updates and new features.","year":2018,"url":"http://doi.org/10.1093/nar/gky977","authors":"Mukherjee S,Stamatis D,Bertsch J,Ovchinnikova G,Katta HY,Mojica A,Chen IA,Kyrpides NC,Reddy T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky977","created_at":"2021-09-30T08:28:19.614Z","updated_at":"2021-09-30T11:29:50.979Z"},{"id":3363,"pubmed_id":null,"title":"Genomes OnLine Database (GOLD) v.8: overview and updates","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa983","authors":"Mukherjee, Supratim; Stamatis, Dimitri; Bertsch, Jon; Ovchinnikova, Galina; Sundaramurthi, Jagadish Chandrabose; Lee, Janey; Kandimalla, Mahathi; Chen, I-Min A; Kyrpides, Nikos C; Reddy, T B K; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa983","created_at":"2022-05-16T16:45:33.787Z","updated_at":"2022-05-16T16:45:33.787Z"},{"id":3812,"pubmed_id":null,"title":"Twenty-five years of Genomes OnLine Database (GOLD): data updates and new features in v.9","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac974","authors":"Mukherjee, Supratim; Stamatis, Dimitri; Li, Cindy Tianqing; Ovchinnikova, Galina; Bertsch, Jon; Sundaramurthi, Jagadish Chandrabose; Kandimalla, Mahathi; Nicolopoulos, Paul A; Favognano, Alessandro; Chen, I-Min A; Kyrpides, Nikos C; Reddy, T B K; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac974","created_at":"2023-03-20T15:48:13.173Z","updated_at":"2023-03-20T15:48:13.173Z"},{"id":3813,"pubmed_id":36794865,"title":"Standardized naming of microbiome samples in Genomes OnLine Database","year":2023,"url":"https://academic.oup.com/database/article/doi/10.1093/database/baad001/7042581?login=false","authors":"Supratim Mukherjee , Galina Ovchinnikova, Dimitri Stamatis, Cindy Tianqing Li , I-Min A Chen, Nikos C Kyrpides and T B K Reddy","journal":"Database","doi":"10.1093/database/baad001","created_at":"2023-03-21T19:12:20.727Z","updated_at":"2023-03-21T19:12:20.727Z"}],"licence_links":[{"licence_name":"GOLD Data Usage Policy","licence_id":359,"licence_url":"https://gold.jgi.doe.gov/usagepolicy","link_id":1607,"relation":"undefined"}],"grants":[{"id":380,"fairsharing_record_id":1661,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:24:29.568Z","updated_at":"2021-09-30T09:24:29.568Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":386,"fairsharing_record_id":1661,"organisation_id":1728,"relation":"funds","created_at":"2021-09-30T09:24:29.761Z","updated_at":"2021-09-30T09:32:07.546Z","grant_id":1480,"is_lead":false,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory (LANL), Los Alamos, NM, USA","grant":"DE-AC02-06NA25396","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":379,"fairsharing_record_id":1661,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:24:29.522Z","updated_at":"2021-09-30T09:24:29.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":382,"fairsharing_record_id":1661,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:24:29.638Z","updated_at":"2021-09-30T09:24:29.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":378,"fairsharing_record_id":1661,"organisation_id":705,"relation":"funds","created_at":"2021-09-30T09:24:29.484Z","updated_at":"2021-09-30T09:29:15.251Z","grant_id":160,"is_lead":false,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","grant":"DEFGC02-95ER61963","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":381,"fairsharing_record_id":1661,"organisation_id":1691,"relation":"funds","created_at":"2021-09-30T09:24:29.603Z","updated_at":"2021-09-30T09:30:35.191Z","grant_id":776,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":385,"fairsharing_record_id":1661,"organisation_id":1692,"relation":"funds","created_at":"2021-09-30T09:24:29.738Z","updated_at":"2021-09-30T09:31:35.194Z","grant_id":1236,"is_lead":false,"saved_state":{"id":1692,"name":"Lawrence Livermore National Laboratory (LLNL), USA","grant":"DE-AC52-07NA27344","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":383,"fairsharing_record_id":1661,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:24:29.664Z","updated_at":"2021-09-30T09:29:05.135Z","grant_id":86,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","grant":"10.1093/bioinformatics/15.9.773","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9403,"fairsharing_record_id":1661,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.019Z","updated_at":"2022-04-11T12:07:36.044Z","grant_id":771,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC03-76SF00098","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1662","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:31.291Z","metadata":{"doi":"10.25504/FAIRsharing.dvwz21","name":"GWASdb","status":"deprecated","contacts":[{"contact_name":"Mulin Jun Li","contact_email":"mulin0424.li@gmail.com"}],"homepage":"http://jjwanglab.org/gwasdb","identifier":1662,"description":"GWASdb comprises of collections of traits/diseases associated SNP (TASs) from current GWAS and their comprehensive functional annotations, as well as disease classifications.","abbreviation":"GWASdb","data_curation":{"type":"not found"},"support_links":[{"url":"junwen@uw.edu","name":"junwen@uw.edu","type":"Support email"},{"url":"http://jjwanglab.org/gwasdb/gwasdb2/gwasdb2/about","name":"About GWASdb","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GWASdb","name":"GWASdb Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://jjwanglab.org/gwasrap","name":"GWASrap"},{"url":"http://jjwanglab.org/snvrap","name":"SNVrap"},{"url":"http://mulinlab.tmu.edu.cn/gwas4d","name":"GWAS4D"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000118","bsg-d000118"],"name":"FAIRsharing record for: GWASdb","abbreviation":"GWASdb","url":"https://fairsharing.org/10.25504/FAIRsharing.dvwz21","doi":"10.25504/FAIRsharing.dvwz21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GWASdb comprises of collections of traits/diseases associated SNP (TASs) from current GWAS and their comprehensive functional annotations, as well as disease classifications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Annotation","Computational biological predictions","Disease process modeling","Genetic polymorphism","Splice site","Micro RNA (miRNA) target site","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Hong Kong"],"publications":[{"id":154,"pubmed_id":22139925,"title":"GWASdb: a database for human genetic variants identified by genome-wide association studies.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1182","authors":"Li MJ., Wang P., Liu X., Lim EL., Wang Z., Yeager M., Wong MP., Sham PC., Chanock SJ., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1182","created_at":"2021-09-30T08:22:36.781Z","updated_at":"2021-09-30T08:22:36.781Z"},{"id":490,"pubmed_id":22801476,"title":"Genetic variant representation, annotation and prioritization in the post-GWAS era","year":2012,"url":"http://doi.org/10.1038/cr.2012.106","authors":"Mulin Jun Li, Pak Chung Sham and Junwen Wang","journal":"Cell Research","doi":"10.1038/cr.2012.106","created_at":"2021-09-30T08:23:13.277Z","updated_at":"2021-09-30T08:23:13.277Z"},{"id":2558,"pubmed_id":26615194,"title":"GWASdb v2: an update database for human genetic variants identified by genome-wide association studies.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1317","authors":"Li MJ,Liu Z,Wang P,Wong MP,Nelson MR,Kocher JP,Yeager M,Sham PC,Chanock SJ,Xia Z,Wang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1317","created_at":"2021-09-30T08:27:13.784Z","updated_at":"2021-09-30T11:29:39.312Z"}],"licence_links":[],"grants":[{"id":388,"fairsharing_record_id":1662,"organisation_id":3065,"relation":"maintains","created_at":"2021-09-30T09:24:29.811Z","updated_at":"2021-09-30T09:24:29.811Z","grant_id":null,"is_lead":true,"saved_state":{"id":3065,"name":"University of Hong Kong","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":389,"fairsharing_record_id":1662,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:29.837Z","updated_at":"2021-09-30T09:24:29.837Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1663","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:42:00.211Z","metadata":{"doi":"10.25504/FAIRsharing.vm6g21","name":"Integrated Genomic Database of Non-Small Cell Lung Cancer","status":"deprecated","contacts":[{"contact_name":"Yuh-Shan Jou","contact_email":"jou@ibms.sinica.edu.tw"}],"homepage":"http://igdb.nsclc.ibms.sinica.edu.tw","citations":[],"identifier":1663,"description":"Integrated Genomic Database of Non-Small Cell Lung Cancer.","abbreviation":"IGDB.NSCLC","data_curation":{"type":"manual"},"support_links":[{"url":"http://igdb.nsclc.ibms.sinica.edu.tw/tutorial.php","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n\n","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000119","bsg-d000119"],"name":"FAIRsharing record for: Integrated Genomic Database of Non-Small Cell Lung Cancer","abbreviation":"IGDB.NSCLC","url":"https://fairsharing.org/10.25504/FAIRsharing.vm6g21","doi":"10.25504/FAIRsharing.vm6g21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integrated Genomic Database of Non-Small Cell Lung Cancer.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12602}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Expression data","MicroRNA expression analysis","Genome","Point mutation","Copy number variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":1898,"pubmed_id":22139933,"title":"IGDB.NSCLC: integrated genomic database of non-small cell lung cancer.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1183","authors":"Kao S,Shiau CK,Gu DL,Ho CM,Su WH,Chen CF,Lin CH,Jou YS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1183","created_at":"2021-09-30T08:25:53.486Z","updated_at":"2021-09-30T11:29:22.452Z"}],"licence_links":[],"grants":[{"id":390,"fairsharing_record_id":1663,"organisation_id":1405,"relation":"maintains","created_at":"2021-09-30T09:24:29.861Z","updated_at":"2021-09-30T09:24:29.861Z","grant_id":null,"is_lead":false,"saved_state":{"id":1405,"name":"Institute of Biomedical Sciences (IBMS), Academia Sinica, Taipei, Taiwan","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":391,"fairsharing_record_id":1663,"organisation_id":2068,"relation":"funds","created_at":"2021-09-30T09:24:29.887Z","updated_at":"2021-09-30T09:29:27.671Z","grant_id":259,"is_lead":false,"saved_state":{"id":2068,"name":"National Research Program For Genomic Medicine (NRPGM), Taipe, Taiwan","grant":"NSC98-3112-B-001-004","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8190,"fairsharing_record_id":1663,"organisation_id":2068,"relation":"funds","created_at":"2021-09-30T09:31:24.890Z","updated_at":"2021-09-30T09:31:24.945Z","grant_id":1159,"is_lead":false,"saved_state":{"id":2068,"name":"National Research Program For Genomic Medicine (NRPGM), Taipe, Taiwan","grant":"NSC98-3112-B-001-031","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":392,"fairsharing_record_id":1663,"organisation_id":2067,"relation":"funds","created_at":"2021-09-30T09:24:29.916Z","updated_at":"2021-09-30T09:32:11.371Z","grant_id":1509,"is_lead":false,"saved_state":{"id":2067,"name":"National Research Program for Biopharmaceuticals","grant":"NSC100-2325-B-001-012","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1664","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.419Z","metadata":{"doi":"10.25504/FAIRsharing.a4ybgg","name":"Indel Flanking Region Database","status":"deprecated","contacts":[{"contact_name":"Bin Gong","contact_email":"gb@sdu.edu.cn"}],"homepage":"http://indel.bioinfo.sdu.edu.cn","identifier":1664,"description":"Indel Flanking Region Database is an online resource for indels (insertion/deletions) and the flanking regions of proteins in SCOP superfamilies. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid indels, substitutions and the relationship between them.","abbreviation":"IndelFR","data_curation":{"type":"not found"},"support_links":[{"url":"http://indel.bioinfo.sdu.edu.cn/gridsphere/gridsphere?cid=contact","type":"Contact form"},{"url":"http://indel.bioinfo.sdu.edu.cn/gridsphere/gridsphere?cid=help","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000120","bsg-d000120"],"name":"FAIRsharing record for: Indel Flanking Region Database","abbreviation":"IndelFR","url":"https://fairsharing.org/10.25504/FAIRsharing.a4ybgg","doi":"10.25504/FAIRsharing.a4ybgg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Indel Flanking Region Database is an online resource for indels (insertion/deletions) and the flanking regions of proteins in SCOP superfamilies. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid indels, substitutions and the relationship between them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Structure","Hydrophobicity","Hydrophilicity","Amino acid sequence","Indel"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":464,"pubmed_id":20671041,"title":"Impact of indels on the flanking regions in structural domains.","year":2010,"url":"http://doi.org/10.1093/molbev/msq196","authors":"Zhang Z., Huang J., Wang Z., Wang L., Gao P.,","journal":"Mol. Biol. Evol.","doi":"10.1093/molbev/msq196","created_at":"2021-09-30T08:23:10.450Z","updated_at":"2021-09-30T08:23:10.450Z"},{"id":758,"pubmed_id":22127860,"title":"IndelFR: a database of indels in protein structures and their flanking regions.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1107","authors":"Zhang Z,Xing C,Wang L,Gong B,Liu H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1107","created_at":"2021-09-30T08:23:43.501Z","updated_at":"2021-09-30T11:28:50.175Z"}],"licence_links":[],"grants":[{"id":395,"fairsharing_record_id":1664,"organisation_id":2629,"relation":"maintains","created_at":"2021-09-30T09:24:30.035Z","updated_at":"2021-09-30T09:24:30.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":2629,"name":"State Key Laboratory of Microbial Technology, Shandong University, Jinan, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":393,"fairsharing_record_id":1664,"organisation_id":2554,"relation":"funds","created_at":"2021-09-30T09:24:29.957Z","updated_at":"2021-09-30T09:29:09.844Z","grant_id":120,"is_lead":false,"saved_state":{"id":2554,"name":"Shangdong University, China","grant":"2009JC006","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":394,"fairsharing_record_id":1664,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:29.998Z","updated_at":"2021-09-30T09:31:14.916Z","grant_id":1085,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"61070017","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8179,"fairsharing_record_id":1664,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:21.872Z","updated_at":"2021-09-30T09:31:21.926Z","grant_id":1136,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30970092","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1665","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:54:57.131Z","metadata":{"doi":"10.25504/FAIRsharing.jhfs8q","name":"Integrated Pathway Analysis and Visualization System","status":"deprecated","contacts":[{"contact_name":"Do Han Kim","contact_email":"dhkim@gist.ac.kr"}],"homepage":"http://ipavs.cidms.org","identifier":1665,"description":"iPAVS provides a collection of highly-structured manually curated human pathway data, it also integrates biological pathway information from several public databases and provides several tools to manipulate, filter, browse, search, analyze, visualize and compare the integrated pathway resources.","abbreviation":"IPAVS","data_curation":{"type":"not found"},"support_links":[{"url":"https://sites.google.com/a/cidms.org/ipavs_tutorials/faqs","name":"IPAVS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://sites.google.com/a/cidms.org/ipavs_tutorials/","name":"IPAVS Tutorials","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000121","bsg-d000121"],"name":"FAIRsharing record for: Integrated Pathway Analysis and Visualization System","abbreviation":"IPAVS","url":"https://fairsharing.org/10.25504/FAIRsharing.jhfs8q","doi":"10.25504/FAIRsharing.jhfs8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iPAVS provides a collection of highly-structured manually curated human pathway data, it also integrates biological pathway information from several public databases and provides several tools to manipulate, filter, browse, search, analyze, visualize and compare the integrated pathway resources.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12603}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science","Metabolomics","Transcriptomics","Systems Biology","Data Visualization"],"domains":["Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":171,"pubmed_id":21423387,"title":"Current trends and new challenges of databases and web applications for systems driven biological research.","year":2010,"url":"http://doi.org/10.3389/fphys.2010.00147","authors":"Sreenivasaiah PK., Kim do H.,","journal":"Front Physiol","doi":"10.3389/fphys.2010.00147","created_at":"2021-09-30T08:22:38.724Z","updated_at":"2021-09-30T08:22:38.724Z"},{"id":172,"pubmed_id":18261742,"title":"An overview of cardiac systems biology.","year":2008,"url":"http://doi.org/10.1016/j.yjmcc.2007.12.005","authors":"Shreenivasaiah PK., Rho SH., Kim T., Kim do H.,","journal":"J. Mol. Cell. Cardiol.","doi":"10.1016/j.yjmcc.2007.12.005","created_at":"2021-09-30T08:22:38.832Z","updated_at":"2021-09-30T08:22:38.832Z"},{"id":1326,"pubmed_id":21071716,"title":"Biology of endoplasmic reticulum stress in the heart.","year":2010,"url":"http://doi.org/10.1161/CIRCRESAHA.110.227033","authors":"Groenendyk J., Sreenivasaiah PK., Kim do H., Agellon LB., Michalak M.,","journal":"Circ. Res.","doi":"10.1161/CIRCRESAHA.110.227033","created_at":"2021-09-30T08:24:48.417Z","updated_at":"2021-09-30T08:24:48.417Z"}],"licence_links":[{"licence_name":"IPAVS Terms and conditions","licence_id":448,"licence_url":"http://ipavs.cidms.org/about","link_id":2204,"relation":"undefined"}],"grants":[{"id":397,"fairsharing_record_id":1665,"organisation_id":2695,"relation":"maintains","created_at":"2021-09-30T09:24:30.118Z","updated_at":"2021-09-30T09:24:30.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2695,"name":"Systems Biology Laboratory of Gwangju Institute of Science and Technology, Department of Life Sciences, Gwangju, South Korea","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":398,"fairsharing_record_id":1665,"organisation_id":1202,"relation":"funds","created_at":"2021-09-30T09:24:30.156Z","updated_at":"2021-09-30T09:29:32.810Z","grant_id":294,"is_lead":false,"saved_state":{"id":1202,"name":"GRIPS Innovation, Science and Technology Policy Program","grant":"GIST Systems Biology Infrastructure Establishment Grant (2010)","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":396,"fairsharing_record_id":1665,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:24:30.076Z","updated_at":"2021-09-30T09:30:31.222Z","grant_id":745,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"Korea MEST NRF grant (2010-0002159)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1666","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:13:04.234Z","metadata":{"doi":"10.25504/FAIRsharing.yxrs8t","name":"MethylomeDB","status":"deprecated","contacts":[{"contact_email":"fgh3@columbia.edu"}],"homepage":"http://habanero.mssm.edu/methylomedb/index.html","identifier":1666,"description":"This resource details DNA methylation profiles in human and mouse brain. This database includes genome-wide DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples.","abbreviation":"MethylomeDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://habanero.mssm.edu/methylomedb/contact.html","type":"Contact form"},{"url":"http://habanero.mssm.edu/methylomedb/help_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://habanero.mssm.edu/methylomedb/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://habanero.mssm.edu/index.html","name":"Browser"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000122","bsg-d000122"],"name":"FAIRsharing record for: MethylomeDB","abbreviation":"MethylomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.yxrs8t","doi":"10.25504/FAIRsharing.yxrs8t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource details DNA methylation profiles in human and mouse brain. This database includes genome-wide DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA methylation","Methylation","Brain"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":581,"pubmed_id":22140101,"title":"MethylomeDB: a database of DNA methylation profiles of the brain.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1193","authors":"Xin Y., Chanrion B., O'Donnell AH., Milekic M., Costa R., Ge Y., Haghighi FG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1193","created_at":"2021-09-30T08:23:23.569Z","updated_at":"2021-09-30T08:23:23.569Z"},{"id":1888,"pubmed_id":21216877,"title":"Distinct DNA methylation changes highly correlated with chronological age in the human brain.","year":2011,"url":"http://doi.org/10.1093/hmg/ddq561","authors":"Hernandez DG,Nalls MA,Gibbs JR,Arepalli S,van der Brug M,Chong S,Moore M,Longo DL,Cookson MR,Traynor BJ,Singleton AB","journal":"Hum Mol Genet","doi":"10.1093/hmg/ddq561","created_at":"2021-09-30T08:25:52.373Z","updated_at":"2021-09-30T08:25:52.373Z"}],"licence_links":[],"grants":[{"id":400,"fairsharing_record_id":1666,"organisation_id":562,"relation":"maintains","created_at":"2021-09-30T09:24:30.222Z","updated_at":"2021-09-30T09:24:30.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":562,"name":"Columbia University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":399,"fairsharing_record_id":1666,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:24:30.188Z","updated_at":"2021-09-30T09:32:21.021Z","grant_id":1579,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"Z01 AG000932-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1667","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:15:39.668Z","metadata":{"doi":"10.25504/FAIRsharing.5pfx4r","name":"miRNEST","status":"deprecated","contacts":[{"contact_email":"miszcz@amu.edu.pl"}],"homepage":"http://mirnest.amu.edu.pl","citations":[],"identifier":1667,"description":"miRNEST is an integrative collection of animal, plant and virus microRNA data. miRNEST is being gradually developed to create an integrative resource of miRNA-associated data. The data comes from our computational predictions (new miRNAs, targets, mirtrons, miRNA gene structures) as well as from other databases and publications.","abbreviation":"miRNEST","data_curation":{"type":"not found"},"support_links":[{"url":"http://rhesus.amu.edu.pl/mirnest/copy/update.html","name":"What's New in miRNEST","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/MiRNEST","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://rhesus.amu.edu.pl/mirnest/copy/deep.php","name":"Deep-seq predictions"},{"url":"http://rhesus.amu.edu.pl/mirnest/copy/mirtrons.php","name":"Mirtrons"},{"url":"http://rhesus.amu.edu.pl/mirnest/copy/mirna_gene_structure.php","name":"miRNA gene filtering"},{"url":"http://rhesus.amu.edu.pl/mirnest/copy/degradomes.php","name":"Degradomes"}],"deprecation_date":"2022-01-29","deprecation_reason":"This resource's homepage is no longer available, and an updated homepage cannot be found. Please let us know if you have any information. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000123","bsg-d000123"],"name":"FAIRsharing record for: miRNEST","abbreviation":"miRNEST","url":"https://fairsharing.org/10.25504/FAIRsharing.5pfx4r","doi":"10.25504/FAIRsharing.5pfx4r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: miRNEST is an integrative collection of animal, plant and virus microRNA data. miRNEST is being gradually developed to create an integrative resource of miRNA-associated data. The data comes from our computational predictions (new miRNAs, targets, mirtrons, miRNA gene structures) as well as from other databases and publications.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12604}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["RNA secondary structure","Expression data","RNA sequence","Multiple sequence alignment","Computational biological predictions","Regulation of miRNA metabolic process","Genetic polymorphism","Sequencing read","Promoter","Micro RNA","Pre-miRNA (pre-microRNA)","Target"],"taxonomies":["All"],"user_defined_tags":["Deep sequencing reads aligned to miRNAs"],"countries":["Poland"],"publications":[{"id":153,"pubmed_id":22135287,"title":"miRNEST database: an integrative approach in microRNA search and annotation.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1159","authors":"Szcześniak MW., Deorowicz S., Gapski J., Kaczyński Ł., Makalowska I.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1159","created_at":"2021-09-30T08:22:36.674Z","updated_at":"2021-09-30T08:22:36.674Z"},{"id":1363,"pubmed_id":24243848,"title":"miRNEST 2.0: a database of plant and animal microRNAs.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1156","authors":"Szczesniak MW,Makalowska I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1156","created_at":"2021-09-30T08:24:52.417Z","updated_at":"2021-09-30T11:29:06.968Z"}],"licence_links":[],"grants":[{"id":401,"fairsharing_record_id":1667,"organisation_id":1672,"relation":"maintains","created_at":"2021-09-30T09:24:30.244Z","updated_at":"2021-09-30T09:24:30.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":1672,"name":"Laboratory of Bioinformatics, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614 Poznan, Poland","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1668","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:23.226Z","metadata":{"doi":"10.25504/FAIRsharing.26pqv5","name":"MitoZoa","status":"ready","contacts":[{"contact_name":"Carmela Gissi","contact_email":"carmela.gissi@unimi.it","contact_orcid":"0000-0002-2269-079X"}],"homepage":"http://srv00.recas.ba.infn.it/mitozoa/","citations":[],"identifier":1668,"description":"MitoZoa is a specialized database collecting complete and nearly-complete (longer than 7 kb) mtDNA entries of metazoan species, excluding Placozoa. MitoZoa contains curated entries, whose gene annotation has been significantly improved using a semi-automatic reannotation pipeline and by manual curation of mitogenomics experts. MitoZoa has been specifically designed to address comparative analyses of mitochondrial genomic features in a given metazoan group or in species belonging to the same genus (congeneric species). MitoZoa focuses on mitochondrial gene order, non-coding regions, gene content, and gene sequences.","abbreviation":"MitoZoa","data_curation":{"url":"http://srv00.recas.ba.infn.it/mitozoa/","type":"manual/automated","notes":"Gene annotation has been significantly improved using a semi-automatic reannotation pipeline and by manual curation of mitogenomics experts."},"support_links":[{"url":"http://srv00.recas.ba.infn.it/mitozoa/help.htm","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://srv00.recas.ba.infn.it/mitozoa/blast.php","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000124","bsg-d000124"],"name":"FAIRsharing record for: MitoZoa","abbreviation":"MitoZoa","url":"https://fairsharing.org/10.25504/FAIRsharing.26pqv5","doi":"10.25504/FAIRsharing.26pqv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MitoZoa is a specialized database collecting complete and nearly-complete (longer than 7 kb) mtDNA entries of metazoan species, excluding Placozoa. MitoZoa contains curated entries, whose gene annotation has been significantly improved using a semi-automatic reannotation pipeline and by manual curation of mitogenomics experts. MitoZoa has been specifically designed to address comparative analyses of mitochondrial genomic features in a given metazoan group or in species belonging to the same genus (congeneric species). MitoZoa focuses on mitochondrial gene order, non-coding regions, gene content, and gene sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Citation","Gene functional annotation","Mitochondrion","Curated information","Mitochondrial genome","Transfer RNA","Coding sequence"],"taxonomies":["Metazoa","Placozoa"],"user_defined_tags":["Mitochondrial gene annotation correction","Mitochondrial gene nomenclature","Mitochondrial gene order","Mitochondrial introns","Mitochondrial non-coding region (NCR) sequences","Mitochondrial pseudogenes","Mitochondrial tRNA"],"countries":["Italy"],"publications":[{"id":159,"pubmed_id":20080208,"title":"MitoZoa: a curated mitochondrial genome database of metazoans for comparative genomics studies.","year":2010,"url":"http://doi.org/10.1016/j.mito.2010.01.004","authors":"Lupi R., de Meo PD., Picardi E., D'Antonio M., Paoletti D., Castrignanò T., Pesole G., Gissi C.,","journal":"Mitochondrion","doi":"10.1016/j.mito.2010.01.004","created_at":"2021-09-30T08:22:37.531Z","updated_at":"2021-09-30T08:22:37.531Z"}],"licence_links":[],"grants":[{"id":9467,"fairsharing_record_id":1668,"organisation_id":3018,"relation":"undefined","created_at":"2022-04-28T14:02:37.219Z","updated_at":"2022-04-28T14:02:37.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":3018,"name":"University of Bari, Bari, Italy","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":9468,"fairsharing_record_id":1668,"organisation_id":3492,"relation":"undefined","created_at":"2022-04-28T14:02:37.232Z","updated_at":"2022-04-28T14:02:37.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":3492,"name":"University of Milan","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":9469,"fairsharing_record_id":1668,"organisation_id":522,"relation":"undefined","created_at":"2022-04-28T14:02:37.274Z","updated_at":"2022-04-28T14:02:37.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":522,"name":"CINECA, Bologna, Italy","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1654","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.340Z","metadata":{"doi":"10.25504/FAIRsharing.990a1b","name":"Autism Knowledgebase","status":"deprecated","contacts":[{"contact_name":"Liping Wei","contact_email":"weilp@mail.cbi.pku.edu.cn"}],"homepage":"http://autismkb.cbi.pku.edu.cn/","identifier":1654,"description":"Autism genetics KnowledgeBase, an evidence-based knowledgebase of autism genetics.","abbreviation":"Autism KB","data_curation":{"type":"not found"},"support_links":[{"url":"http://autismkb.cbi.pku.edu.cn/contact.php","type":"Contact form"},{"url":"AutismKB@mail.cbi.pku.ed.cn","type":"Support email"},{"url":"http://autismkb.cbi.pku.edu.cn/document.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://autismkb.cbi.pku.edu.cn/rank.php","name":"Ranking Tool"},{"url":"http://autismkb.cbi.pku.edu.cn/blast.php","name":"Blast"}],"deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000110","bsg-d000110"],"name":"FAIRsharing record for: Autism Knowledgebase","abbreviation":"Autism KB","url":"https://fairsharing.org/10.25504/FAIRsharing.990a1b","doi":"10.25504/FAIRsharing.990a1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Autism genetics KnowledgeBase, an evidence-based knowledgebase of autism genetics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Autistic disorder","Genetic polymorphism","Disease","Gene","Copy number variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":167,"pubmed_id":22139918,"title":"AutismKB: an evidence-based knowledgebase of autism genetics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1145","authors":"Xu LM., Li JR., Huang Y., Zhao M., Tang X., Wei L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1145","created_at":"2021-09-30T08:22:38.355Z","updated_at":"2021-09-30T08:22:38.355Z"}],"licence_links":[],"grants":[{"id":358,"fairsharing_record_id":1654,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:28.753Z","updated_at":"2021-09-30T09:24:28.753Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":357,"fairsharing_record_id":1654,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:28.720Z","updated_at":"2021-09-30T09:31:07.746Z","grant_id":1030,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2011CBA01102","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":359,"fairsharing_record_id":1654,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:28.777Z","updated_at":"2021-09-30T09:32:20.789Z","grant_id":1577,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31025014","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1655","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:39.961Z","metadata":{"doi":"10.25504/FAIRsharing.z6rbe3","name":"BacMap","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca","contact_orcid":null}],"homepage":"http://bacmap.wishartlab.com","citations":[],"identifier":1655,"description":"BacMap is a picture atlas of annotated bacterial genomes. It is an interactive visual database containing hundreds of fully labeled, zoomable, and searchable maps of bacterial genomes.","abbreviation":"BacMap","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=bacmap","type":"Contact form"},{"url":"http://bacmap.wishartlab.com/help","type":"Help documentation"},{"url":"http://bacmap.wishartlab.com/about","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012724","name":"re3data:r3d100012724","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006988","name":"SciCrunch:RRID:SCR_006988","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000111","bsg-d000111"],"name":"FAIRsharing record for: BacMap","abbreviation":"BacMap","url":"https://fairsharing.org/10.25504/FAIRsharing.z6rbe3","doi":"10.25504/FAIRsharing.z6rbe3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BacMap is a picture atlas of annotated bacterial genomes. It is an interactive visual database containing hundreds of fully labeled, zoomable, and searchable maps of bacterial genomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Statistics","Life Science"],"domains":["Genome map","Protein structure","Taxonomic classification","Gene name","DNA sequence data","Free text","Function analysis","Image","Phenotype","Amino acid sequence","Prophage","Genome"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["Physical properties","RNA map"],"countries":["Canada"],"publications":[{"id":160,"pubmed_id":15608206,"title":"BacMap: an interactive picture atlas of annotated bacterial genomes.","year":2004,"url":"http://doi.org/10.1093/nar/gki075","authors":"Stothard P., Van Domselaar G., Shrivastava S., Guo A., O'Neill B., Cruz J., Ellison M., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki075","created_at":"2021-09-30T08:22:37.631Z","updated_at":"2021-09-30T08:22:37.631Z"},{"id":1343,"pubmed_id":22135301,"title":"BacMap: an up-to-date electronic atlas of annotated bacterial genomes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1105","authors":"Cruz J., Liu Y., Liang Y., Zhou Y., Wilson M., Dennis JJ., Stothard P., Van Domselaar G., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1105","created_at":"2021-09-30T08:24:50.279Z","updated_at":"2021-09-30T08:24:50.279Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":779,"relation":"undefined"}],"grants":[{"id":360,"fairsharing_record_id":1655,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:28.876Z","updated_at":"2021-09-30T09:24:28.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11613,"fairsharing_record_id":1655,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:39.661Z","updated_at":"2024-03-21T13:59:39.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":3309,"name":"Wishart Research Group, University of Alberta, Edmonton, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1656","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:39:00.161Z","metadata":{"doi":"10.25504/FAIRsharing.3vfc16","name":"Compilation and Creation of datasets from PDB","status":"ready","contacts":[{"contact_name":"Dr Gajendra P.S. Raghava","contact_email":"raghava@imtech.res.in"}],"homepage":"https://webs.iiitd.edu.in/raghava/ccpdb/index.html","citations":[],"identifier":1656,"description":"ccPDB (Compilation and Creation of datasets from PDB) is a collection of commonly used data sets for structural or functional annotation of proteins. Datasets from literature and the Protein Data Bank (PDB) were incorporated into ccPDB to facilitate the analysis and organisation of additional dataset collections by the researcher. ","abbreviation":"ccPDB","data_curation":{"url":"https://webs.iiitd.edu.in/raghava/ccpdb/index.html","type":"automated"},"support_links":[{"url":"http://crdd.osdd.net/raghava/ccpdb/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://crdd.osdd.net/raghava/ccpdb/blast.php","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000112","bsg-d000112"],"name":"FAIRsharing record for: Compilation and Creation of datasets from PDB","abbreviation":"ccPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3vfc16","doi":"10.25504/FAIRsharing.3vfc16","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ccPDB (Compilation and Creation of datasets from PDB) is a collection of commonly used data sets for structural or functional annotation of proteins. Datasets from literature and the Protein Data Bank (PDB) were incorporated into ccPDB to facilitate the analysis and organisation of additional dataset collections by the researcher. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12599}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Protein structure","Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1160,"pubmed_id":22139939,"title":"ccPDB: compilation and creation of data sets from Protein Data Bank.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1150","authors":"Singh H,Chauhan JS,Gromiha MM,Raghava GP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1150","created_at":"2021-09-30T08:24:28.989Z","updated_at":"2021-09-30T11:29:01.250Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":266,"relation":"undefined"}],"grants":[{"id":363,"fairsharing_record_id":1656,"organisation_id":2265,"relation":"funds","created_at":"2021-09-30T09:24:28.992Z","updated_at":"2021-09-30T09:24:28.992Z","grant_id":null,"is_lead":false,"saved_state":{"id":2265,"name":"Open Source Drug Discovery (OSDD) India","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":365,"fairsharing_record_id":1656,"organisation_id":686,"relation":"funds","created_at":"2021-09-30T09:24:29.071Z","updated_at":"2021-09-30T09:24:29.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":686,"name":"Department of Biotechnology, Ministry of Science and Technology, India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":362,"fairsharing_record_id":1656,"organisation_id":1425,"relation":"maintains","created_at":"2021-09-30T09:24:28.950Z","updated_at":"2021-09-30T09:24:28.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1425,"name":"Institute of Microbial Technology (IMTECH), Council of Scientific \u0026 Industrial Research (CSIR), Chandigarh, India","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":364,"fairsharing_record_id":1656,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:24:29.034Z","updated_at":"2021-09-30T09:24:29.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1657","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:28:47.969Z","metadata":{"doi":"10.25504/FAIRsharing.aqb4ne","name":"CUBE-DB","status":"deprecated","contacts":[{"contact_name":"Ivana Mihalek","contact_email":"ivanam@bii.a-star.edu.sg"}],"homepage":"http://epsf.bmad.bii.a-star.edu.sg/cube/db/html/home.html","identifier":1657,"description":"Detection of functional divergence in human protein families. Cube-DB is a database of pre-evaluated conservation and specialization scores for residues in paralogous proteins belonging to multi-member families of human proteins. Protein family classification follows (largely) the classification suggested by HUGO Gene Nomenclature Committee. Sets of orthologous protein sequences were generated by mutual-best-hit strategy using full vertebrate genomes available in Ensembl. The scores, described on documentation page, are assigned to each individual residue in a protein, and presented in the form of a table (html or downloadable xls formats) and mapped, when appropriate, onto the related structure (Jmol, Pymol, Chimera).","abbreviation":"CUBE-DB","data_curation":{"type":"not found"},"support_links":[{"url":"zhangzh@bii.a-star.edu.sg","type":"Support email"},{"url":"http://epsf.bmad.bii.a-star.edu.sg/cube/db/html/doc.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000113","bsg-d000113"],"name":"FAIRsharing record for: CUBE-DB","abbreviation":"CUBE-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.aqb4ne","doi":"10.25504/FAIRsharing.aqb4ne","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Detection of functional divergence in human protein families. Cube-DB is a database of pre-evaluated conservation and specialization scores for residues in paralogous proteins belonging to multi-member families of human proteins. Protein family classification follows (largely) the classification suggested by HUGO Gene Nomenclature Committee. Sets of orthologous protein sequences were generated by mutual-best-hit strategy using full vertebrate genomes available in Ensembl. The scores, described on documentation page, are assigned to each individual residue in a protein, and presented in the form of a table (html or downloadable xls formats) and mapped, when appropriate, onto the related structure (Jmol, Pymol, Chimera).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Multiple sequence alignment","Molecular function","Classification","Protein","Amino acid sequence","Orthologous","Paralogous"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["Singapore"],"publications":[{"id":156,"pubmed_id":21931701,"title":"Determinants, discriminants, conserved residues--a heuristic approach to detection of functional divergence in protein families.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0024382","authors":"Bharatham K., Zhang ZH., Mihalek I.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0024382","created_at":"2021-09-30T08:22:37.027Z","updated_at":"2021-09-30T08:22:37.027Z"},{"id":756,"pubmed_id":22139934,"title":"Cube-DB: detection of functional divergence in human protein families.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1129","authors":"Zhang ZH,Bharatham K,Chee SM,Mihalek I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1129","created_at":"2021-09-30T08:23:43.234Z","updated_at":"2021-09-30T11:28:50.025Z"}],"licence_links":[],"grants":[{"id":366,"fairsharing_record_id":1657,"organisation_id":973,"relation":"maintains","created_at":"2021-09-30T09:24:29.104Z","updated_at":"2021-09-30T09:24:29.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":973,"name":"Evolution of Protein Structure and Function Group, Biomolecular Modelling and Design Division, Bioinformatics Institute, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1649","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:20.002Z","metadata":{"doi":"10.25504/FAIRsharing.4dqw0","name":"The Arabidopsis Information Resource","status":"ready","contacts":[{"contact_email":"curator@arabidopsis.org"}],"homepage":"http://www.arabidopsis.org/","citations":[],"identifier":1649,"description":"The Arabidopsis Information Resource (TAIR) maintains a database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available from TAIR includes the complete genome sequence along with gene structure, gene product information, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every week from the latest published research literature and community data submissions.","abbreviation":"TAIR","data_curation":{"type":"manual"},"support_links":[{"url":"curator@arabidopsis.org","type":"Support email"},{"url":"http://www.arabidopsis.org/help/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.arabidopsis.org/help/index.jsp","type":"Help documentation"},{"url":"http://www.arabidopsis.org/help/tutorials/index.jsp","type":"Training documentation"},{"url":"https://www.youtube.com/user/TAIRinfo/featured","name":"TAIR You Tube Channel","type":"Video"},{"url":"https://en.wikipedia.org/wiki/The_Arabidopsis_Information_Resource","type":"Wikipedia"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"https://www.arabidopsis.org/servlets/tools/synteny","name":"Synteny viewer: compare syntenic regions between two or more genomes"},{"url":"https://www.arabidopsis.org/servlets/tools/sv","name":"SeqViewer: a genome browser developed at TAIR for viewing Arabidopsis sequence and annotation"},{"url":"https://www.arabidopsis.org/tools/nbrowse.jsp","name":"NBrowse: an interactive graphical browser for biological networks such as protein-protein interactions"},{"url":"https://www.arabidopsis.org/biocyc/index.jsp","name":"AraCyc Pathways: Arabidopsis biochemical pathways visualization and querying tool"},{"url":"http://www.arabidopsis.org/tools/index.jsp","name":"analyze"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010185","name":"re3data:r3d100010185","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004618","name":"SciCrunch:RRID:SCR_004618","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.arabidopsis.org/help/helppages/commreg.jsp","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000105","bsg-d000105"],"name":"FAIRsharing record for: The Arabidopsis Information Resource","abbreviation":"TAIR","url":"https://fairsharing.org/10.25504/FAIRsharing.4dqw0","doi":"10.25504/FAIRsharing.4dqw0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arabidopsis Information Resource (TAIR) maintains a database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available from TAIR includes the complete genome sequence along with gene structure, gene product information, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every week from the latest published research literature and community data submissions.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11615}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science","Metabolomics"],"domains":["Molecular structure","Genetic map","Physical map","Genome map","Expression data","DNA sequence data","Publication","Structure","Gene"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1096,"pubmed_id":17986450,"title":"The Arabidopsis Information Resource (TAIR): gene structure and function annotation.","year":2007,"url":"http://doi.org/10.1093/nar/gkm965","authors":"Swarbreck D., Wilks C., Lamesch P., Berardini TZ., Garcia-Hernandez M., Foerster H., Li D., Meyer T., Muller R., Ploetz L., Radenbaugh A., Singh S., Swing V., Tissier C., Zhang P., Huala E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm965","created_at":"2021-09-30T08:24:21.347Z","updated_at":"2021-09-30T08:24:21.347Z"},{"id":1098,"pubmed_id":20521243,"title":"Using the Arabidopsis information resource (TAIR) to find information about Arabidopsis genes.","year":2010,"url":"http://doi.org/10.1002/0471250953.bi0111s30","authors":"Lamesch P., Dreher K., Swarbreck D., Sasidharan R., Reiser L., Huala E.,","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0111s30","created_at":"2021-09-30T08:24:21.567Z","updated_at":"2021-09-30T08:24:21.567Z"},{"id":1106,"pubmed_id":22140109,"title":"The Arabidopsis Information Resource (TAIR): improved gene annotation and new tools.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1090","authors":"Lamesch P,Berardini TZ,Li D,Swarbreck D,Wilks C,Sasidharan R,Muller R,Dreher K,Alexander DL,Garcia-Hernandez M,Karthikeyan AS,Lee CH,Nelson WD,Ploetz L,Singh S,Wensel A,Huala E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1090","created_at":"2021-09-30T08:24:22.539Z","updated_at":"2021-09-30T11:28:58.818Z"},{"id":1724,"pubmed_id":26201819,"title":"The Arabidopsis information resource: Making and mining the \"gold standard\" annotated reference plant genome.","year":2015,"url":"http://doi.org/10.1002/dvg.22877","authors":"Berardini TZ,Reiser L,Li D,Mezheritsky Y,Muller R,Strait E,Huala E","journal":"Genesis","doi":"10.1002/dvg.22877","created_at":"2021-09-30T08:25:33.170Z","updated_at":"2021-09-30T08:25:33.170Z"},{"id":1864,"pubmed_id":29220077,"title":"Using the Arabidopsis Information Resource (TAIR) to Find Information About Arabidopsis Genes.","year":2017,"url":"http://doi.org/10.1002/cpbi.36","authors":"Reiser L,Subramaniam S,Li D,Huala E","journal":"Curr Protoc Bioinformatics","doi":"10.1002/cpbi.36","created_at":"2021-09-30T08:25:49.455Z","updated_at":"2021-09-30T08:25:49.455Z"},{"id":1865,"pubmed_id":26989150,"title":"Sustainable funding for biocuration: The Arabidopsis Information Resource (TAIR) as a case study of a subscription-based funding model.","year":2016,"url":"http://doi.org/10.1093/database/baw018","authors":"Reiser L,Berardini TZ,Li D,Muller R,Strait EM,Li Q,Mezheritsky Y,Vetushko A,Huala E","journal":"Database (Oxford)","doi":"10.1093/database/baw018","created_at":"2021-09-30T08:25:49.564Z","updated_at":"2021-09-30T08:25:49.564Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":2336,"relation":"undefined"},{"licence_name":"TAIR Software License","licence_id":769,"licence_url":"http://www.arabidopsis.org/doc/about/tair_licensing/416","link_id":2335,"relation":"undefined"},{"licence_name":"TAIR Terms of Use","licence_id":770,"licence_url":"http://www.arabidopsis.org/doc/about/tair_terms_of_use/417","link_id":2334,"relation":"undefined"}],"grants":[{"id":344,"fairsharing_record_id":1649,"organisation_id":2322,"relation":"maintains","created_at":"2021-09-30T09:24:28.043Z","updated_at":"2022-06-27T13:54:33.688Z","grant_id":null,"is_lead":true,"saved_state":{"id":2322,"name":"Phoenix Bioinformatics Corporation","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaHdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--13ae7a1a92132f0e16f9f5d14deb2dc4e245770d/tair_logo_highdef_originalcolors.png?disposition=inline","exhaustive_licences":false}},{"id":"1650","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T08:08:32.708Z","metadata":{"doi":"10.25504/FAIRsharing.qf46ys","name":"The Human OligoGenome Resource: A Database for Customized Targeted Resequencing Covering the Human Genome","status":"deprecated","contacts":[],"homepage":"http://oligogenome.stanford.edu/","citations":[],"identifier":1650,"description":"Oligonucleotides for targeted resequencing of the human genome","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000106","bsg-d000106"],"name":"FAIRsharing record for: The Human OligoGenome Resource: A Database for Customized Targeted Resequencing Covering the Human Genome","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qf46ys","doi":"10.25504/FAIRsharing.qf46ys","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Oligonucleotides for targeted resequencing of the human genome","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12596}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Oligonucleotide probe annotation","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":139,"pubmed_id":21738606,"title":"A flexible approach for highly multiplexed candidate gene targeted resequencing.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0021088","authors":"Natsoulis G., Bell JM., Xu H., Buenrostro JD., Ordonez H., Grimes S., Newburger D., Jensen M., Zahn JM., Zhang N., Ji HP.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0021088","created_at":"2021-09-30T08:22:35.205Z","updated_at":"2021-09-30T08:22:35.205Z"}],"licence_links":[],"grants":[{"id":346,"fairsharing_record_id":1650,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:24:28.193Z","updated_at":"2021-09-30T09:24:28.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":345,"fairsharing_record_id":1650,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:28.125Z","updated_at":"2021-09-30T09:24:28.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1658","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:40.315Z","metadata":{"doi":"10.25504/FAIRsharing.mw2ekr","name":"Death Domain Database","status":"deprecated","contacts":[{"contact_name":"Hyun Ho Park","contact_email":"hyunho@ynu.ac.kr"}],"homepage":"http://www.deathdomain.org","identifier":1658,"description":"Death Domain Database is a manually curated database of protein-protein interactions for Death Domain Superfamily.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.deathdomain.org/tutorial","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/Death_Domain_database","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000114","bsg-d000114"],"name":"FAIRsharing record for: Death Domain Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.mw2ekr","doi":"10.25504/FAIRsharing.mw2ekr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Death Domain Database is a manually curated database of protein-protein interactions for Death Domain Superfamily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Signaling","Molecular interaction","Curated information"],"taxonomies":["Canis familiaris","Danio rerio","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":158,"pubmed_id":22135292,"title":"A comprehensive manually curated protein-protein interaction database for the Death Domain superfamily.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1149","authors":"Kwon D., Yoon JH., Shin SY., Jang TH., Kim HG., So I., Jeon JH., Park HH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1149","created_at":"2021-09-30T08:22:37.424Z","updated_at":"2021-09-30T08:22:37.424Z"}],"licence_links":[],"grants":[{"id":367,"fairsharing_record_id":1658,"organisation_id":1923,"relation":"maintains","created_at":"2021-09-30T09:24:29.139Z","updated_at":"2021-09-30T09:24:29.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":1923,"name":"Myongji University, Seoul, South Korea","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":368,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:24:29.160Z","updated_at":"2021-09-30T09:29:08.711Z","grant_id":112,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0025697","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7884,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:29:24.574Z","updated_at":"2021-09-30T09:29:24.616Z","grant_id":236,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0022437","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7917,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:29:45.433Z","updated_at":"2021-09-30T09:29:45.485Z","grant_id":388,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0003406","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7960,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:30:05.110Z","updated_at":"2021-09-30T09:30:05.148Z","grant_id":544,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2008-05943","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1659","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:23.875Z","metadata":{"doi":"10.25504/FAIRsharing.ngme77","name":"Human disease methylation database","status":"ready","contacts":[],"homepage":"http://bio-bigdata.hrbmu.edu.cn/diseasemeth/","citations":[],"identifier":1659,"description":"The human disease methylation database, DiseaseMeth is a web based resource focused on the aberrant methylomes of human diseases. Until recently, bulks of large-scale data are avaible and are increasingly grown, from which more information can be mined to gain further information towards human diseases. Our mission is to provide a curated set of methylation information datasets and tools in the human genome, to support and promote research in this area. Especially, we provide a genome-scale landscape to show human methylaton information in a scalable and flexible manner.","abbreviation":"DiseaseMeth","data_curation":{"type":"manual"},"support_links":[{"url":"http://bio-bigdata.hrbmu.edu.cn/diseasemeth/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000115","bsg-d000115"],"name":"FAIRsharing record for: Human disease methylation database","abbreviation":"DiseaseMeth","url":"https://fairsharing.org/10.25504/FAIRsharing.ngme77","doi":"10.25504/FAIRsharing.ngme77","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The human disease methylation database, DiseaseMeth is a web based resource focused on the aberrant methylomes of human diseases. Until recently, bulks of large-scale data are avaible and are increasingly grown, from which more information can be mined to gain further information towards human diseases. Our mission is to provide a curated set of methylation information datasets and tools in the human genome, to support and promote research in this area. Especially, we provide a genome-scale landscape to show human methylaton information in a scalable and flexible manner.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Abstract","Methylation","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":163,"pubmed_id":22135302,"title":"DiseaseMeth: a human disease methylation database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1169","authors":"Lv J., Liu H., Su J., Wu X., Liu H., Li B., Xiao X., Wang F., Wu Q., Zhang Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1169","created_at":"2021-09-30T08:22:37.939Z","updated_at":"2021-09-30T08:22:37.939Z"}],"licence_links":[],"grants":[{"id":370,"fairsharing_record_id":1659,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:29.230Z","updated_at":"2021-09-30T09:32:11.146Z","grant_id":1507,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30971645","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8455,"fairsharing_record_id":1659,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:43.110Z","updated_at":"2021-09-30T09:32:43.166Z","grant_id":1747,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"61075023","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":372,"fairsharing_record_id":1659,"organisation_id":2631,"relation":"funds","created_at":"2021-09-30T09:24:29.296Z","updated_at":"2021-09-30T09:32:10.621Z","grant_id":1502,"is_lead":false,"saved_state":{"id":2631,"name":"State Key Laboratory of Urban Water Resource and Environment, China","grant":"2010TS05","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9421,"fairsharing_record_id":1659,"organisation_id":2053,"relation":"funds","created_at":"2022-04-11T12:07:37.235Z","updated_at":"2022-04-11T12:07:37.253Z","grant_id":20,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"C201012","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1660","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:42:47.317Z","metadata":{"doi":"10.25504/FAIRsharing.fyqk5z","name":"Gene3D","status":"deprecated","contacts":[{"contact_name":"Corin Yeats","contact_email":"yeats@biochem.ucl.ac.uk"}],"homepage":"http://gene3d.biochem.ucl.ac.uk","citations":[{"doi":"10.1093/nar/gkx1069","pubmed_id":29112716,"publication_id":1715}],"identifier":1660,"description":"Gene3D uses the information in CATH to predict the locations of structural domains on millions of protein sequences available in public databases. Sequence data from UniProtKB and Ensembl for domains with no experimentally determined structures are scanned against CATH HMMs to predict domain sequence boundaries and make homologous superfamily assignments.","abbreviation":"Gene3D","data_curation":{"type":"not found"},"support_links":[{"url":"Gene3D.Contact@gmail.com","name":"General Contact","type":"Support email"},{"url":"http://gene3d.biochem.ucl.ac.uk/examples","name":"Example Searches","type":"Help documentation"},{"url":"http://gene3d.biochem.ucl.ac.uk/about","name":"About Gene3D","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/cath-gene3d","name":"Cath gene3d","type":"TeSS links to training materials"}],"year_creation":2003,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000116","bsg-d000116"],"name":"FAIRsharing record for: Gene3D","abbreviation":"Gene3D","url":"https://fairsharing.org/10.25504/FAIRsharing.fyqk5z","doi":"10.25504/FAIRsharing.fyqk5z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene3D uses the information in CATH to predict the locations of structural domains on millions of protein sequences available in public databases. Sequence data from UniProtKB and Ensembl for domains with no experimentally determined structures are scanned against CATH HMMs to predict domain sequence boundaries and make homologous superfamily assignments.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11519},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12600}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Hidden Markov model","Protein structure","Protein domain","Annotation","Protein interaction","Gene","Amino acid sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":357,"pubmed_id":19906693,"title":"Gene3D: merging structure and function for a Thousand genomes.","year":2009,"url":"http://doi.org/10.1093/nar/gkp987","authors":"Lees J., Yeats C., Redfern O., Clegg A., Orengo C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp987","created_at":"2021-09-30T08:22:58.380Z","updated_at":"2021-09-30T08:22:58.380Z"},{"id":1715,"pubmed_id":29112716,"title":"Gene3D: Extensive prediction of globular domains in proteins.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1069","authors":"Lewis TE,Sillitoe I,Dawson N,Lam SD,Clarke T,Lee D,Orengo C,Lees J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1069","created_at":"2021-09-30T08:25:32.152Z","updated_at":"2021-09-30T11:29:19.010Z"},{"id":2340,"pubmed_id":21646335,"title":"The Gene3D Web Services: a platform for identifying, annotating and comparing structural domains in protein sequences.","year":2011,"url":"http://doi.org/10.1093/nar/gkr438","authors":"Yeats C., Lees J., Carter P., Sillitoe I., Orengo C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr438","created_at":"2021-09-30T08:26:47.426Z","updated_at":"2021-09-30T08:26:47.426Z"},{"id":2342,"pubmed_id":26139634,"title":"Functional classification of CATH superfamilies: a domain-based approach for protein function annotation.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv398","authors":"Das S,Lee D,Sillitoe I,Dawson NL,Lees JG,Orengo CA","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv398","created_at":"2021-09-30T08:26:47.739Z","updated_at":"2021-09-30T08:26:47.739Z"}],"licence_links":[],"grants":[{"id":373,"fairsharing_record_id":1660,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:29.319Z","updated_at":"2021-09-30T09:24:29.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":377,"fairsharing_record_id":1660,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:29.442Z","updated_at":"2021-09-30T09:31:08.150Z","grant_id":1033,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200700058C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8183,"fairsharing_record_id":1660,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:22.781Z","updated_at":"2021-09-30T09:31:22.835Z","grant_id":1143,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"LSHG-CT-2004-512092","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8347,"fairsharing_record_id":1660,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:13.352Z","updated_at":"2021-09-30T09:32:13.426Z","grant_id":1523,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"LSHG-CT-2003-503265","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":374,"fairsharing_record_id":1660,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:24:29.345Z","updated_at":"2021-09-30T09:24:29.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":376,"fairsharing_record_id":1660,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:29.409Z","updated_at":"2021-09-30T09:29:52.110Z","grant_id":442,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"081989/Z/07/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":375,"fairsharing_record_id":1660,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:29.372Z","updated_at":"2021-09-30T09:31:20.043Z","grant_id":1123,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"LSHG-CT-2005-518254","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8346,"fairsharing_record_id":1660,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:13.208Z","updated_at":"2021-09-30T09:32:13.264Z","grant_id":1522,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"DE-AC02-065CH11357","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1683","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:39.561Z","metadata":{"doi":"10.25504/FAIRsharing.8jsya3","name":"PomBase","status":"ready","contacts":[{"contact_name":"PomBase Helpdesk","contact_email":"helpdesk@pombase.org"}],"homepage":"http://www.pombase.org","citations":[],"identifier":1683,"description":"PomBase is a model organism database that provides organization of and access to scientific data for the fission yeast Schizosaccharomyces pombe. PomBase supports genomic sequence and features, genome-wide datasets and manual literature curation as well as providing structural and functional annotation and access to large-scale data sets.","abbreviation":"PomBase","data_curation":{"url":"https://www.pombase.org/submit-data","type":"manual"},"support_links":[{"url":"http://www.pombase.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://listserver.ebi.ac.uk/mailman/listinfo/pombelist","name":"Pombelist mailing list","type":"Mailing list"},{"url":"http://www.pombase.org/documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/PomBase","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://www.pombase.org/identifier-mapper","name":"Identifier mapping tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011478","name":"re3data:r3d100011478","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006586","name":"SciCrunch:RRID:SCR_006586","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.pombase.org/submit-data","type":"controlled","notes":"PomBase Data Submission"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000139","bsg-d000139"],"name":"FAIRsharing record for: PomBase","abbreviation":"PomBase","url":"https://fairsharing.org/10.25504/FAIRsharing.8jsya3","doi":"10.25504/FAIRsharing.8jsya3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PomBase is a model organism database that provides organization of and access to scientific data for the fission yeast Schizosaccharomyces pombe. PomBase supports genomic sequence and features, genome-wide datasets and manual literature curation as well as providing structural and functional annotation and access to large-scale data sets.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16192}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Citation","Protein domain","Gene name","Expression data","DNA sequence data","Gene Ontology enrichment","Model organism","Centromere","Protein modification","Cellular localization","Curated information","Phenotype","Orthologous","Literature curation"],"taxonomies":["Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":192,"pubmed_id":22039153,"title":"PomBase: a comprehensive online resource for fission yeast.","year":2011,"url":"http://doi.org/10.1093/nar/gkr853","authors":"Wood V., Harris MA., McDowall MD., Rutherford K., Vaughan BW., Staines DM., Aslett M., Lock A., Bähler J., Kersey PJ., Oliver SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr853","created_at":"2021-09-30T08:22:41.023Z","updated_at":"2021-09-30T08:22:41.023Z"},{"id":1034,"pubmed_id":22102568,"title":"The Gene Ontology: enhancements for 2011.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1028","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1028","created_at":"2021-09-30T08:24:14.488Z","updated_at":"2021-09-30T11:28:57.193Z"},{"id":1134,"pubmed_id":23658422,"title":"FYPO: the fission yeast phenotype ontology.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt266","authors":"Harris MA,Lock A,Bahler J,Oliver SG,Wood V","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt266","created_at":"2021-09-30T08:24:25.823Z","updated_at":"2021-09-30T08:24:25.823Z"},{"id":2055,"pubmed_id":25361970,"title":"PomBase 2015: updates to the fission yeast database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1040","authors":"McDowall MD,Harris MA,Lock A,Rutherford K,Staines DM,Bahler J,Kersey PJ,Oliver SG,Wood V","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1040","created_at":"2021-09-30T08:26:11.564Z","updated_at":"2021-09-30T11:29:27.613Z"},{"id":2056,"pubmed_id":24574118,"title":"Canto: an online tool for community literature curation.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu103","authors":"Rutherford KM,Harris MA,Lock A,Oliver SG,Wood V","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu103","created_at":"2021-09-30T08:26:11.715Z","updated_at":"2021-09-30T08:26:11.715Z"},{"id":2057,"pubmed_id":24885854,"title":"A method for increasing expressivity of Gene Ontology annotations using a compositional approach.","year":2014,"url":"http://doi.org/10.1186/1471-2105-15-155","authors":"Huntley RP,Harris MA,Alam-Faruque Y,Blake JA,Carbon S,Dietze H,Dimmer EC,Foulger RE,Hill DP,Khodiyar VK,Lock A,Lomax J,Lovering RC,Mutowo-Meullenet P,Sawford T,Van Auken K,Wood V,Mungall CJ","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-15-155","created_at":"2021-09-30T08:26:11.815Z","updated_at":"2021-09-30T08:26:11.815Z"},{"id":2167,"pubmed_id":23161678,"title":"Gene Ontology annotations and resources.","year":2012,"url":"http://doi.org/10.1093/nar/gks1050","authors":"Blake JA,Dolan M,Drabkin H,Hill DP,Li N,Sitnikov D,Bridges S,Burgess S,Buza T,McCarthy F,Peddinti D,Pillai L,Carbon S,Dietze H,Ireland A,Lewis SE,Mungall CJ,Gaudet P,Chrisholm RL,Fey P,Kibbe WA,Basu S,Siegele DA,McIntosh BK,Renfro DP,Zweifel AE,Hu JC,Brown NH,Tweedie S,Alam-Faruque Y,Apweiler R,Auchinchloss A,Axelsen K,Bely B,Blatter M-,Bonilla C,Bouguerleret L,Boutet E,Breuza L,Bridge A,Chan WM,Chavali G,Coudert E,Dimmer E,Estreicher A,Famiglietti L,Feuermann M,Gos A,Gruaz-Gumowski N,Hieta R,Hinz C,Hulo C,Huntley R,James J,Jungo F,Keller G,Laiho K,Legge D,Lemercier P,Lieberherr D,Magrane M,Martin MJ,Masson P,Mutowo-Muellenet P,O'Donovan C,Pedruzzi I,Pichler K,Poggioli D,Porras Millan P,Poux S,Rivoire C,Roechert B,Sawford T,Schneider M,Stutz A,Sundaram S,Tognolli M,Xenarios I,Foulgar R,Lomax J,Roncaglia P,Khodiyar VK,Lovering RC,Talmud PJ,Chibucos M,Giglio MG,Chang H-,Hunter S,McAnulla C,Mitchell A,Sangrador A,Stephan R,Harris MA,Oliver SG,Rutherford K,Wood V,Bahler J,Lock A,Kersey PJ,McDowall DM,Staines DM,Dwinell M,Shimoyama M,Laulederkind S,Hayman T,Wang S-,Petri V,Lowry T,D'Eustachio P,Matthews L,Balakrishnan R,Binkley G,Cherry JM,Costanzo MC,Dwight SS,Engel SR,Fisk DG,Hitz BC,Hong EL,Karra K,Miyasato SR,Nash RS,Park J,Skrzypek MS,Weng S,Wong ED,Berardini TZ,Huala E,Mi H,Thomas PD,Chan J,Kishore R,Sternberg P,Van Auken K,Howe D,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1050","created_at":"2021-09-30T08:26:24.239Z","updated_at":"2021-09-30T11:29:30.513Z"},{"id":2214,"pubmed_id":27334346,"title":"Model organism databases: essential resources that need the support of both funders and users.","year":2016,"url":"http://doi.org/10.1186/s12915-016-0276-z","authors":"Oliver SG,Lock A,Harris MA,Nurse P,Wood V","journal":"BMC Biol","doi":"10.1186/s12915-016-0276-z","created_at":"2021-09-30T08:26:29.542Z","updated_at":"2021-09-30T08:26:29.542Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":204,"relation":"undefined"}],"grants":[{"id":453,"fairsharing_record_id":1683,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:24:32.208Z","updated_at":"2021-09-30T09:24:32.208Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":450,"fairsharing_record_id":1683,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:32.085Z","updated_at":"2021-09-30T09:32:42.661Z","grant_id":1743,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT090548MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":452,"fairsharing_record_id":1683,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:24:32.169Z","updated_at":"2021-09-30T09:24:32.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9241,"fairsharing_record_id":1683,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.751Z","updated_at":"2022-04-11T12:07:24.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1684","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:22.634Z","metadata":{"doi":"10.25504/FAIRsharing.znvzhj","name":"Predictive Networks","status":"deprecated","contacts":[{"contact_name":"John Quackenbush","contact_email":"johng@jimmy.harvard.edu"}],"homepage":"http://predictivenetworks.org/","identifier":1684,"description":"Integration, navigation, visualization, and analysis of gene interaction networks. This record has been marked as \"Uncertain\" because its homepage no longer exists. If you have any information on the current status of this resource, please contact us via the \"Ask Question\" button at the top of this page, or contact us through any of the methods described in the footer.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"predictivenetworks@jimmy.harvard.edu","type":"Support email"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000140","bsg-d000140"],"name":"FAIRsharing record for: Predictive Networks","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.znvzhj","doi":"10.25504/FAIRsharing.znvzhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integration, navigation, visualization, and analysis of gene interaction networks. This record has been marked as \"Uncertain\" because its homepage no longer exists. If you have any information on the current status of this resource, please contact us via the \"Ask Question\" button at the top of this page, or contact us through any of the methods described in the footer.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic interaction","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":189,"pubmed_id":22096235,"title":"Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1050","authors":"Haibe-Kains B., Olsen C., Djebbari A., Bontempi G., Correll M., Bouton C., Quackenbush J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1050","created_at":"2021-09-30T08:22:40.715Z","updated_at":"2021-09-30T08:22:40.715Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":244,"relation":"undefined"}],"grants":[{"id":454,"fairsharing_record_id":1684,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:32.245Z","updated_at":"2021-09-30T09:24:32.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":455,"fairsharing_record_id":1684,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:24:32.287Z","updated_at":"2021-09-30T09:24:32.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1685","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:48.459Z","metadata":{"doi":"10.25504/FAIRsharing.8bwhme","name":"PCR Primer Database for Gene Expression Detection and Quantification","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"bioinformatics@ccib.mgh.harvard.edu"}],"homepage":"http://pga.mgh.harvard.edu/primerbank/","citations":[],"identifier":1685,"description":"PrimerBank is a public resource for PCR primers. These primers are designed for gene expression detection or quantification (real-time PCR). PrimerBank contains over 306,800 primers covering most known human and mouse genes. There are several ways to search for primers: GenBank Accession, NCBI protein accession, NCBI Gene ID, Gene Symbol, PrimerBank ID or Keyword (gene description) or you can blast your gene sequence against the primerbank Sequence DB.","abbreviation":"PrimerBank","data_curation":{"url":"https://pga.mgh.harvard.edu/primerbank/help.html#How%20about%20the%20quality%20of%20these%20primers?","type":"manual/automated","notes":"The primer design algorithm has been extensively tested by real-time PCR experiments for PCR specificity and efficiency"},"support_links":[{"url":"https://pga.mgh.harvard.edu/primerbank/comments.html","type":"Contact form"},{"url":"https://pga.mgh.harvard.edu/primerbank/help.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"url":"https://pga.mgh.harvard.edu/primerbank/help.html","type":"open","notes":"PrimerBank is a public resource for PCR primers."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000141","bsg-d000141"],"name":"FAIRsharing record for: PCR Primer Database for Gene Expression Detection and Quantification","abbreviation":"PrimerBank","url":"https://fairsharing.org/10.25504/FAIRsharing.8bwhme","doi":"10.25504/FAIRsharing.8bwhme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PrimerBank is a public resource for PCR primers. These primers are designed for gene expression detection or quantification (real-time PCR). PrimerBank contains over 306,800 primers covering most known human and mouse genes. There are several ways to search for primers: GenBank Accession, NCBI protein accession, NCBI Gene ID, Gene Symbol, PrimerBank ID or Keyword (gene description) or you can blast your gene sequence against the primerbank Sequence DB.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Polymerase chain reaction primers","DNA sequence data","Real time polymerase chain reaction","Centrally registered identifier"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1899,"pubmed_id":14654707,"title":"A PCR primer bank for quantitative gene expression analysis.","year":2003,"url":"http://doi.org/10.1093/nar/gng154","authors":"Wang X., Seed B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gng154","created_at":"2021-09-30T08:25:53.588Z","updated_at":"2021-09-30T08:25:53.588Z"},{"id":1921,"pubmed_id":22086960,"title":"PrimerBank: a PCR primer database for quantitative gene expression analysis, 2012 update.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1013","authors":"Wang X., Spandidos A., Wang H., Seed B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1013","created_at":"2021-09-30T08:25:56.197Z","updated_at":"2021-09-30T08:25:56.197Z"},{"id":1922,"pubmed_id":19906719,"title":"PrimerBank: a resource of human and mouse PCR primer pairs for gene expression detection and quantification.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1005","authors":"Spandidos A., Wang X., Wang H., Seed B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1005","created_at":"2021-09-30T08:25:56.306Z","updated_at":"2021-09-30T08:25:56.306Z"}],"licence_links":[],"grants":[{"id":457,"fairsharing_record_id":1685,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:24:32.370Z","updated_at":"2021-09-30T09:24:32.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":456,"fairsharing_record_id":1685,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:32.327Z","updated_at":"2021-09-30T09:24:32.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":458,"fairsharing_record_id":1685,"organisation_id":412,"relation":"maintains","created_at":"2021-09-30T09:24:32.408Z","updated_at":"2021-09-30T09:24:32.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":412,"name":"Center for Computational and Integrative Biology, Boston, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1686","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:09.225Z","metadata":{"doi":"10.25504/FAIRsharing.p6hdm8","name":"Prokaryotic Operon DataBase","status":"deprecated","contacts":[{"contact_name":"Enrique Merino","contact_email":"merino@ibt.unam.mx"}],"homepage":"http://operons.ibt.unam.mx/OperonPredictor","identifier":1686,"description":"The Prokaryotic Operon DataBase (ProOpDB) constitutes one of the most precise and complete repository of operon predictions in our days. Using our novel and highly accurate operon algorithm, we have predicted the operon structures of more than 1,200 prokaryotic genomes.","abbreviation":"ProOpDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://operons.ibt.unam.mx/OperonPredictor/","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000142","bsg-d000142"],"name":"FAIRsharing record for: Prokaryotic Operon DataBase","abbreviation":"ProOpDB","url":"https://fairsharing.org/10.25504/FAIRsharing.p6hdm8","doi":"10.25504/FAIRsharing.p6hdm8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Prokaryotic Operon DataBase (ProOpDB) constitutes one of the most precise and complete repository of operon predictions in our days. Using our novel and highly accurate operon algorithm, we have predicted the operon structures of more than 1,200 prokaryotic genomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Metabolomics"],"domains":["Sequence cluster","Protein domain","DNA sequence data","Image","Orthologous"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["Mexico"],"publications":[{"id":188,"pubmed_id":20385580,"title":"High accuracy operon prediction method based on STRING database scores.","year":2010,"url":"http://doi.org/10.1093/nar/gkq254","authors":"Taboada B., Verde C., Merino E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq254","created_at":"2021-09-30T08:22:40.614Z","updated_at":"2021-09-30T08:22:40.614Z"},{"id":1580,"pubmed_id":22096236,"title":"ProOpDB: Prokaryotic Operon DataBase.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1020","authors":"Taboada B,Ciria R,Martinez-Guerrero CE,Merino E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1020","created_at":"2021-09-30T08:25:17.133Z","updated_at":"2021-09-30T11:29:14.611Z"}],"licence_links":[],"grants":[{"id":460,"fairsharing_record_id":1686,"organisation_id":1446,"relation":"undefined","created_at":"2021-09-30T09:24:32.487Z","updated_at":"2021-09-30T09:24:32.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":1446,"name":"Instituto de Biotecnologia, Cuernavaca, Morelos, Mexico","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":461,"fairsharing_record_id":1686,"organisation_id":599,"relation":"funds","created_at":"2021-09-30T09:24:32.579Z","updated_at":"2021-09-30T09:31:03.591Z","grant_id":997,"is_lead":false,"saved_state":{"id":599,"name":"Consejo Nacional de Ciencia y Tecnologia (CONACyT), Mexico City, Mexico","grant":"154817","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1687","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-06T10:12:40.245Z","metadata":{"doi":"10.25504/FAIRsharing.spxmc4","name":"ProPortal","status":"deprecated","contacts":[{"contact_name":"Sallie W. Chisholm","contact_email":"chisholm@mit.edu"}],"homepage":"http://proportal.mit.edu/","citations":[],"identifier":1687,"description":"ProPortal is a database containing genomic, metagenomic, transcriptomic and field data for the marine cyanobacterium Prochlorococcus. They provide a source of cross-referenced data across multiple scales of biological organization—from the genome to the ecosystem—embracing the full diversity of ecotypic variation within this microbial taxon, its sister group, Synechococcus and phages that infect them.","abbreviation":"ProPortal","data_curation":{},"support_links":[{"url":"proportal@mit.edu","type":"Support email"},{"url":"http://proportal.mit.edu/project/prochlorococcus/","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2023-11-03","deprecation_reason":"This resource is no longer available at the stated homepage, and no new homepage can be found. Please get in touch with us if you have information regarding this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000143","bsg-d000143"],"name":"FAIRsharing record for: ProPortal","abbreviation":"ProPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.spxmc4","doi":"10.25504/FAIRsharing.spxmc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProPortal is a database containing genomic, metagenomic, transcriptomic and field data for the marine cyanobacterium Prochlorococcus. They provide a source of cross-referenced data across multiple scales of biological organization—from the genome to the ecosystem—embracing the full diversity of ecotypic variation within this microbial taxon, its sister group, Synechococcus and phages that infect them.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12608}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Population Dynamics","Genomics","Transcriptomics"],"domains":["Citation","Sequence cluster","Genome map","Expression data","DNA sequence data","Annotation","Gene model annotation","Marine metagenome","Metagenome","Orthologous"],"taxonomies":["Cyanophage","Prochlorococcus marinus","Synechococcus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1923,"pubmed_id":22102570,"title":"ProPortal: a resource for integrated systems biology of Prochlorococcus and its phage.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1022","authors":"Kelly L., Huang KH., Ding H., Chisholm SW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1022","created_at":"2021-09-30T08:25:56.415Z","updated_at":"2021-09-30T08:25:56.415Z"}],"licence_links":[],"grants":[{"id":463,"fairsharing_record_id":1687,"organisation_id":429,"relation":"funds","created_at":"2021-09-30T09:24:32.653Z","updated_at":"2021-09-30T09:30:35.551Z","grant_id":779,"is_lead":false,"saved_state":{"id":429,"name":"Center for Microbial Oceanography: Research and Education (C-MORE), Honolulu, HI, USA","grant":"EF0424599","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8414,"fairsharing_record_id":1687,"organisation_id":429,"relation":"funds","created_at":"2021-09-30T09:32:32.251Z","updated_at":"2021-09-30T09:32:32.296Z","grant_id":1665,"is_lead":false,"saved_state":{"id":429,"name":"Center for Microbial Oceanography: Research and Education (C-MORE), Honolulu, HI, USA","grant":"OCE-0425602","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8435,"fairsharing_record_id":1687,"organisation_id":2942,"relation":"funds","created_at":"2021-09-30T09:32:38.485Z","updated_at":"2021-09-30T09:32:38.538Z","grant_id":1713,"is_lead":false,"saved_state":{"id":2942,"name":"United States Department of Energy-GTL","grant":"DE-FG02-08ER64516","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":464,"fairsharing_record_id":1687,"organisation_id":2942,"relation":"funds","created_at":"2021-09-30T09:24:32.692Z","updated_at":"2021-09-30T09:29:57.336Z","grant_id":485,"is_lead":false,"saved_state":{"id":2942,"name":"United States Department of Energy-GTL","grant":"DE-FG02-07ER64506","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":462,"fairsharing_record_id":1687,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:24:32.616Z","updated_at":"2021-09-30T09:31:15.367Z","grant_id":1089,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","grant":"#495.01","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7948,"fairsharing_record_id":1687,"organisation_id":2942,"relation":"funds","created_at":"2021-09-30T09:30:01.300Z","updated_at":"2021-09-30T09:30:01.337Z","grant_id":517,"is_lead":false,"saved_state":{"id":2942,"name":"United States Department of Energy-GTL","grant":"DE-FG02-02ER63445","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1693","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:54:13.707Z","metadata":{"doi":"10.25504/FAIRsharing.rkpmhn","name":"Termini-Oriented Protein Function INferred Database","status":"ready","contacts":[{"contact_name":"Philipp Lange","contact_email":"philipp.lange@ubc.ca"}],"homepage":"https://topfind.clip.msl.ubc.ca/","citations":[],"identifier":1693,"description":"The Termini-Oriented Protein Function INferred Database (TopFIND) is an integrated knowledgebase focused on protein termini, their formation by proteases and functional implications. It contains information about the processing and the processing state of proteins and functional implications thereof derived from research literature, contributions by the scientific community and biological databases.","abbreviation":"TopFIND","data_curation":{"url":"https://topfind.clip.msl.ubc.ca/documentations/about","type":"manual"},"support_links":[{"url":"topfind.clip@gmail.com","name":"General Contact","type":"Support email"},{"url":"http://clipserve.clip.ubc.ca/topfind/documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/TopFIND","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012721","name":"re3data:r3d100012721","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008918","name":"SciCrunch:RRID:SCR_008918","portal":"SciCrunch"}],"data_access_condition":{"url":"https://topfind.clip.msl.ubc.ca/documentations/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://topfind.clip.msl.ubc.ca/contribute/index","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000149","bsg-d000149"],"name":"FAIRsharing record for: Termini-Oriented Protein Function INferred Database","abbreviation":"TopFIND","url":"https://fairsharing.org/10.25504/FAIRsharing.rkpmhn","doi":"10.25504/FAIRsharing.rkpmhn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Termini-Oriented Protein Function INferred Database (TopFIND) is an integrated knowledgebase focused on protein termini, their formation by proteases and functional implications. It contains information about the processing and the processing state of proteins and functional implications thereof derived from research literature, contributions by the scientific community and biological databases.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12610}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Proteolytic digest","Protein domain","Evidence","Annotation","Sequence annotation","Network model","C-terminal amino acid residue","N-terminal amino acid residue","Alternative splicing","Translation initiation","Protein C-terminus binding","Protein modification","Protein N-terminus binding","Molecular interaction","Protocol","Protease cleavage","Amino acid sequence","Protease site"],"taxonomies":["Arabidopsis thaliana","Escherichia coli","Homo sapiens","Mus musculus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":616,"pubmed_id":25332401,"title":"Proteome TopFIND 3.0 with TopFINDer and PathFINDer: database and analysis tools for the association of protein termini to pre- and post-translational events.","year":2014,"url":"http://doi.org/10.1093/nar/gku1012","authors":"Fortelny N,Yang S,Pavlidis P,Lange PF,Overall CM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1012","created_at":"2021-09-30T08:23:27.766Z","updated_at":"2021-09-30T11:28:48.217Z"},{"id":1287,"pubmed_id":21822272,"title":"TopFIND, a knowledgebase linking protein termini with function.","year":2011,"url":"http://doi.org/10.1038/nmeth.1669","authors":"Lange PF., Overall CM.,","journal":"Nature Methods","doi":"10.1038/nmeth.1669","created_at":"2021-09-30T08:24:43.650Z","updated_at":"2021-09-30T08:24:43.650Z"},{"id":1304,"pubmed_id":22102574,"title":"TopFIND 2.0—linking protein termini with proteolytic processing and modifications altering protein function","year":2011,"url":"http://doi.org/10.1093/nar/gkr1025","authors":"Philipp F Lange, Pitter F Huesgen, Christopher M Overall","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1025","created_at":"2021-09-30T08:24:45.601Z","updated_at":"2021-09-30T08:24:45.601Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":2065,"relation":"undefined"},{"licence_name":"TopFIND Data Policies and Disclaimer","licence_id":789,"licence_url":"https://topfind.clip.msl.ubc.ca/documentations/license","link_id":2064,"relation":"undefined"}],"grants":[{"id":475,"fairsharing_record_id":1693,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:33.100Z","updated_at":"2021-09-30T09:24:33.100Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1694","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:28.659Z","metadata":{"doi":"10.25504/FAIRsharing.fwzf0w","name":"Therapeutic Target Database","status":"ready","contacts":[{"contact_name":"Ying Zhou ","contact_email":"zhou_ying@zju.edu.cn","contact_orcid":null},{"contact_name":"Yintao Zhang","contact_email":"zhangyintao@zju.edu.cn","contact_orcid":null}],"homepage":"http://db.idrblab.net/ttd/","citations":[],"identifier":1694,"description":"The Therapeutic Target Database provides information about therapeutic protein and nucleic acid targets, the targeted disease, pathway information and the corresponding drugs directed at each of these targets. Also included in this database are links to relevant databases containing information about target function, sequence, 3D structure, ligand binding properties, enzyme nomenclature and drug structure, therapeutic class, clinical development status. All information is fully referenced.","abbreviation":"TTD","data_curation":{"type":"automated"},"support_links":[{"url":"http://db.idrblab.net/ttd/schema","name":"Database Schema","type":"Help documentation"},{"url":"http://db.idrblab.net/ttd/ontology","name":"Adopted Ontology","type":"Help documentation"},{"url":"http://db.idrblab.net/ttd/searchengine","name":"Search Engine","type":"Help documentation"},{"url":"http://db.idrblab.net/ttd/statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000150","bsg-d000150"],"name":"FAIRsharing record for: Therapeutic Target Database","abbreviation":"TTD","url":"https://fairsharing.org/10.25504/FAIRsharing.fwzf0w","doi":"10.25504/FAIRsharing.fwzf0w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Therapeutic Target Database provides information about therapeutic protein and nucleic acid targets, the targeted disease, pathway information and the corresponding drugs directed at each of these targets. Also included in this database are links to relevant databases containing information about target function, sequence, 3D structure, ligand binding properties, enzyme nomenclature and drug structure, therapeutic class, clinical development status. All information is fully referenced.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12611}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Citation","Enzyme Commission number","Protein structure","Annotation","Drug","Drug combination effect modeling","Drug metabolic process","Ligand binding domain binding","Natural product","Disease","Quantitative structure-activity relationship","Amino acid sequence","Target"],"taxonomies":["All"],"user_defined_tags":["COVID-19","Multi-target agents data","Validation"],"countries":["China","Singapore"],"publications":[{"id":210,"pubmed_id":19933260,"title":"Update of TTD: Therapeutic Target Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1014","authors":"Zhu F., Han B., Kumar P., Liu X., Ma X., Wei X., Huang L., Guo Y., Han L., Zheng C., Chen Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1014","created_at":"2021-09-30T08:22:42.840Z","updated_at":"2021-09-30T08:22:42.840Z"},{"id":211,"pubmed_id":11752352,"title":"TTD: Therapeutic Target Database.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.412","authors":"Chen X., Ji ZL., Chen YZ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.412","created_at":"2021-09-30T08:22:42.940Z","updated_at":"2021-09-30T08:22:42.940Z"},{"id":1348,"pubmed_id":24265219,"title":"Therapeutic target database update 2014: a resource for targeted therapeutics.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1129","authors":"Qin C,Zhang C,Zhu F,Xu F,Chen SY,Zhang P,Li YH,Yang SY,Wei YQ,Tao L,Chen YZ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1129","created_at":"2021-09-30T08:24:50.857Z","updated_at":"2021-09-30T11:29:06.234Z"},{"id":1349,"pubmed_id":26578601,"title":"Therapeutic target database update 2016: enriched resource for bench to clinical drug target and targeted pathway information.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1230","authors":"Yang H,Qin C,Li YH,Tao L,Zhou J,Yu CY,Xu F,Chen Z,Zhu F,Chen YZ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1230","created_at":"2021-09-30T08:24:50.957Z","updated_at":"2021-09-30T11:29:06.334Z"},{"id":3207,"pubmed_id":34718717,"title":"Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents.","year":2022,"url":"https://doi.org/10.1093/nar/gkab953","authors":"Zhou Y, Zhang Y, Lian X, Li F, Wang C, Zhu F, Qiu Y, Chen Y","journal":"Nucleic acids research","doi":"10.1093/nar/gkab953","created_at":"2022-02-01T15:54:32.946Z","updated_at":"2022-02-01T15:54:32.946Z"}],"licence_links":[],"grants":[{"id":478,"fairsharing_record_id":1694,"organisation_id":2085,"relation":"maintains","created_at":"2021-09-30T09:24:33.181Z","updated_at":"2021-09-30T09:24:33.181Z","grant_id":null,"is_lead":true,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":477,"fairsharing_record_id":1694,"organisation_id":2571,"relation":"funds","created_at":"2021-09-30T09:24:33.156Z","updated_at":"2021-09-30T09:31:29.958Z","grant_id":1198,"is_lead":false,"saved_state":{"id":2571,"name":"Singapore Academic Research Fund","grant":"R-148-000-208-112","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":476,"fairsharing_record_id":1694,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:33.132Z","updated_at":"2021-09-30T09:32:21.704Z","grant_id":1585,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81202459","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBGdz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e61a4215e734df6889073172e0f8702290c0d746/ttd_banner2022.png?disposition=inline","exhaustive_licences":false}},{"id":"1695","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:16.063Z","metadata":{"doi":"10.25504/FAIRsharing.12yd2z","name":"The UCSC Archaeal Genome Browser","status":"ready","contacts":[{"contact_name":"Todd M. Lowe","contact_email":"lowe@soe.ucsc.edu"}],"homepage":"http://archaea.ucsc.edu","citations":[],"identifier":1695,"description":"The UCSC Archaeal Genome Browser is a window on the biology of more than 100 microbial species from the domain Archaea. Basic gene annotation is derived from NCBI Genbank/RefSeq entries, with overlays of sequence conservation across multiple species, nucleotide and protein motifs, non-coding RNA predictions, operon predictions, and other types of bioinformatic analyses. In addition, we display available gene expression data (microarray or high-throughput RNA sequencing). Direct contributions or notices of publication of functional genomic data or bioinformatic analyses from archaeal research labs are very welcome.","abbreviation":null,"data_curation":{"type":"automated"},"support_links":[{"url":"http://archaea.ucsc.edu/FAQ/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://archaea.ucsc.edu/goldenPath/help/hgTracksHelp.html","type":"Help documentation"},{"url":"http://archaea.ucsc.edu/feed/","type":"Blog/News"}],"year_creation":2005,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000151","bsg-d000151"],"name":"FAIRsharing record for: The UCSC Archaeal Genome Browser","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.12yd2z","doi":"10.25504/FAIRsharing.12yd2z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UCSC Archaeal Genome Browser is a window on the biology of more than 100 microbial species from the domain Archaea. Basic gene annotation is derived from NCBI Genbank/RefSeq entries, with overlays of sequence conservation across multiple species, nucleotide and protein motifs, non-coding RNA predictions, operon predictions, and other types of bioinformatic analyses. In addition, we display available gene expression data (microarray or high-throughput RNA sequencing). Direct contributions or notices of publication of functional genomic data or bioinformatic analyses from archaeal research labs are very welcome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["GC content","Genome map","Nucleic acid sequence alignment","Expression data","DNA sequence data","RNA sequence","Sequence annotation","Operon prediction","Transcription factor binding site prediction","Multiple sequence alignment","Computational biological predictions","Gene functional annotation","Promoter","Non-coding RNA","Orthologous","Paralogous","Insertion sequence","CRISPR"],"taxonomies":["Archaea","Plasmodium falciparum"],"user_defined_tags":["Palindromic transcription factor (TF) binding site predictions","Poly T motifs as possible transcription termination signals"],"countries":["United States"],"publications":[{"id":201,"pubmed_id":16381898,"title":"The UCSC Archaeal Genome Browser.","year":2005,"url":"http://doi.org/10.1093/nar/gkj134","authors":"Schneider KL., Pollard KS., Baertsch R., Pohl A., Lowe TM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj134","created_at":"2021-09-30T08:22:41.958Z","updated_at":"2021-09-30T08:22:41.958Z"},{"id":202,"pubmed_id":14681465,"title":"The UCSC Table Browser data retrieval tool.","year":2003,"url":"http://doi.org/10.1093/nar/gkh103","authors":"Karolchik D., Hinrichs AS., Furey TS., Roskin KM., Sugnet CW., Haussler D., Kent WJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh103","created_at":"2021-09-30T08:22:42.065Z","updated_at":"2021-09-30T08:22:42.065Z"},{"id":203,"pubmed_id":11932250,"title":"BLAT--the BLAST-like alignment tool.","year":2002,"url":"http://doi.org/10.1101/gr.229202","authors":"Kent WJ.,","journal":"Genome Res.","doi":"10.1101/gr.229202","created_at":"2021-09-30T08:22:42.164Z","updated_at":"2021-09-30T08:22:42.164Z"}],"licence_links":[],"grants":[{"id":480,"fairsharing_record_id":1695,"organisation_id":3037,"relation":"maintains","created_at":"2021-09-30T09:24:33.231Z","updated_at":"2021-09-30T09:24:33.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":482,"fairsharing_record_id":1695,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:33.282Z","updated_at":"2021-09-30T09:24:33.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":479,"fairsharing_record_id":1695,"organisation_id":684,"relation":"maintains","created_at":"2021-09-30T09:24:33.205Z","updated_at":"2021-09-30T09:24:33.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":684,"name":"Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":481,"fairsharing_record_id":1695,"organisation_id":406,"relation":"maintains","created_at":"2021-09-30T09:24:33.255Z","updated_at":"2021-09-30T09:24:33.255Z","grant_id":null,"is_lead":false,"saved_state":{"id":406,"name":"Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1696","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:45.450Z","metadata":{"doi":"10.25504/FAIRsharing.x2vch3","name":"Virulence Factor Database","status":"ready","contacts":[{"contact_name":"Jian Yang","contact_email":"yangj@ipbcams.ac.cn"}],"homepage":"http://www.mgc.ac.cn/VFs/","citations":[],"identifier":1696,"description":"VFDB is an integrated and comprehensive database of virulence factors for bacterial pathogens (also including Chlamydia and Mycoplasma).","abbreviation":"VFDB","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgki008","type":"manual/automated"},"support_links":[{"url":"http://www.mgc.ac.cn/VFs/faq.htm","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.mgc.ac.cn/VFs/help.htm","name":"Database conventions","type":"Help documentation"},{"url":"http://www.mgc.ac.cn/VFs/feedback.htm","name":"Feedback","type":"Contact form"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://www.mgc.ac.cn/cgi-bin/VFs/v5/main.cgi","name":"JavaScript-rich interface with VFanalyzer"}],"data_access_condition":{"url":"http://www.mgc.ac.cn/VFs/main.htm","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093%2Fnar%2Fgki008","type":"open","notes":"Submission either through the ‘Feedback’ form or by email"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000153","bsg-d000153"],"name":"FAIRsharing record for: Virulence Factor Database","abbreviation":"VFDB","url":"https://fairsharing.org/10.25504/FAIRsharing.x2vch3","doi":"10.25504/FAIRsharing.x2vch3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VFDB is an integrated and comprehensive database of virulence factors for bacterial pathogens (also including Chlamydia and Mycoplasma).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Microbiology"],"domains":["Citation","DNA sequence data","Gene model annotation","Pathogen","Disease","Classification","Virulence","Pseudogene"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":44,"pubmed_id":15608208,"title":"VFDB: a reference database for bacterial virulence factors.","year":2004,"url":"http://doi.org/10.1093/nar/gki008","authors":"Chen L., Yang J., Yu J., Yao Z., Sun L., Shen Y., Jin Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki008","created_at":"2021-09-30T08:22:25.146Z","updated_at":"2021-09-30T08:22:25.146Z"},{"id":217,"pubmed_id":17984080,"title":"VFDB 2008 release: an enhanced web-based resource for comparative pathogenomics.","year":2007,"url":"http://doi.org/10.1093/nar/gkm951","authors":"Yang J., Chen L., Sun L., Yu J., Jin Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm951","created_at":"2021-09-30T08:22:43.539Z","updated_at":"2021-09-30T08:22:43.539Z"}],"licence_links":[],"grants":[{"id":483,"fairsharing_record_id":1696,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:33.305Z","updated_at":"2021-09-30T09:31:12.991Z","grant_id":1068,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2005CB522904","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":485,"fairsharing_record_id":1696,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:33.361Z","updated_at":"2021-09-30T09:31:50.369Z","grant_id":1350,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30600022","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":484,"fairsharing_record_id":1696,"organisation_id":1435,"relation":"maintains","created_at":"2021-09-30T09:24:33.331Z","updated_at":"2021-09-30T09:24:33.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":1435,"name":"Institute of Pathogen Biology, Chinese Academy of Medical Sciences \u0026 Peking Union Medical College (CAMS\u0026PUMC), Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1681","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:32.425Z","metadata":{"doi":"10.25504/FAIRsharing.62evqh","name":"neXtProt","status":"ready","contacts":[{"contact_name":"Monique Zahn","contact_email":"monique.zahn@sib.swiss","contact_orcid":"0000-0001-7961-6091"}],"homepage":"https://www.nextprot.org","citations":[{"doi":"10.1093/nar/gkz995","pubmed_id":31724716,"publication_id":2777}],"identifier":1681,"description":"neXtProt is a comprehensive human-centric discovery platform, offering its users a seamless integration of and navigation through protein-related data.","abbreviation":"neXtProt","data_curation":{"url":"https://www.nextprot.org/help/faq#10","type":"manual/automated"},"support_links":[{"url":"support@nextprot.org","type":"Support email"},{"url":"https://www.nextprot.org/help/simple-search","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/a-critical-guide-to-the-nextprot-knowledgebase-querying-using-sparql","name":"A Critical Guide to the neXtProt knowledgebase: querying using SPARQL","type":"TeSS links to training materials"},{"url":"https://en.wikipedia.org/wiki/NeXtProt","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://www.nextprot.org/proteins/search?mode=advanced","name":"Advanced search"},{"url":"https://www.nextprot.org/tools/unicity-checker","name":"Peptide Unicity checker"},{"url":"https://www.nextprot.org/tools/protein-digestion","name":"Protein digestion"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.nextprot.org/help/faq#11","type":"controlled","notes":"Large, high quality data sets on human proteins can be submitted."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000137","bsg-d000137"],"name":"FAIRsharing record for: neXtProt","abbreviation":"neXtProt","url":"https://fairsharing.org/10.25504/FAIRsharing.62evqh","doi":"10.25504/FAIRsharing.62evqh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: neXtProt is a comprehensive human-centric discovery platform, offering its users a seamless integration of and navigation through protein-related data.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11325},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12158},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15066}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Sequence annotation","Genetic polymorphism","Protein expression","Curated information","Sequence variant","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Functional impact of genetic variants"],"countries":["Switzerland"],"publications":[{"id":178,"pubmed_id":22139911,"title":"neXtProt: a knowledge platform for human proteins.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1179","authors":"Lane L., Argoud-Puy G., Britan A., Cusin I., Duek PD., Evalet O., Gateau A., Gaudet P., Gleizes A., Masselot A., Zwahlen C., Bairoch A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1179","created_at":"2021-09-30T08:22:39.489Z","updated_at":"2021-09-30T08:22:39.489Z"},{"id":1783,"pubmed_id":25593349,"title":"The neXtProt knowledgebase on human proteins: current status.","year":2015,"url":"http://doi.org/10.1093/nar/gku1178","authors":"Gaudet P, Michel PA, Zahn-Zabal M, Cusin I, Duek PD, Evalet O, Gateau A, Gleizes A, Pereira M, Teixeira D, Zhang Y, Lane L, Bairoch A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku1178.","created_at":"2021-09-30T08:25:40.105Z","updated_at":"2021-09-30T08:25:40.105Z"},{"id":2050,"pubmed_id":27899619,"title":"The neXtProt knowledgebase on human proteins: 2017 update.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1062","authors":"Gaudet P, Michel PA, Zahn-Zabal M, Britan A, Cusin I, Domagalski M, Duek PD, Gateau A, Gleizes A, Hinard V, Rech de Laval V, Lin J, Nikitin F, Schaeffer M, Teixeira D, Lane L, Bairoch A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw1062.","created_at":"2021-09-30T08:26:10.975Z","updated_at":"2021-09-30T08:26:10.975Z"},{"id":2776,"pubmed_id":23205526,"title":"neXtProt: organizing protein knowledge in the context of human proteome projects.","year":2012,"url":"http://doi.org/10.1021/pr300830v","authors":"Gaudet P, Argoud-Puy G, Cusin I, Duek P, Evalet O, Gateau A, Gleizes A, Pereira M, Zahn-Zabal M, Zwahlen C, Bairoch A, Lane L.","journal":"J Proteome Res","doi":"10.1021/pr300830v.","created_at":"2021-09-30T08:27:41.284Z","updated_at":"2021-09-30T08:27:41.284Z"},{"id":2777,"pubmed_id":31724716,"title":"The neXtProt knowledgebase in 2020: data, tools and usability improvements.","year":2019,"url":"http://doi.org/10.1093/nar/gkz995","authors":"Zahn-Zabal M,Michel PA,Gateau A,Nikitin F,Schaeffer M,Audot E,Gaudet P,Duek PD,Teixeira D,Rech de Laval V,Samarasinghe K,Bairoch A,Lane L","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz995","created_at":"2021-09-30T08:27:41.404Z","updated_at":"2021-09-30T11:29:44.003Z"}],"licence_links":[{"licence_name":"NextProt Data Policies and Disclaimer","licence_id":574,"licence_url":"https://www.nextprot.org/legal-disclaimer/","link_id":165,"relation":"undefined"}],"grants":[{"id":442,"fairsharing_record_id":1681,"organisation_id":587,"relation":"maintains","created_at":"2021-09-30T09:24:31.836Z","updated_at":"2021-09-30T09:24:31.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":587,"name":"Computer and Laboratory Investigation of Proteins of Human Origin Group (CALIPHO), Swiss Institute of Bioinformatics, Geneva, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":444,"fairsharing_record_id":1681,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:31.915Z","updated_at":"2021-09-30T09:24:31.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":443,"fairsharing_record_id":1681,"organisation_id":563,"relation":"funds","created_at":"2021-09-30T09:24:31.877Z","updated_at":"2021-09-30T09:32:10.213Z","grant_id":1499,"is_lead":false,"saved_state":{"id":563,"name":"Commission for Technology and Innovation (CTI), Bern, Switzerland","grant":"10214.1 PFLS-LS","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1689","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T08:43:42.209Z","metadata":{"doi":"10.25504/FAIRsharing.29zsb8","name":"SNPedia","status":"ready","contacts":[{"contact_name":"Support email","contact_email":"info@snpedia.com"}],"homepage":"http://SNPedia.com","citations":[],"identifier":1689,"description":"SNPedia is a wiki resource of the functional consequences of human genetic variation as published in peer-reviewed studies. Entries are formatted to allow associations to be assigned to single genotypes as well as sets of genotypes (genosets). Curation occurs through editorial, community/user, and semi-automated processes.","abbreviation":"SNPedia","data_curation":{"type":"manual","notes":"Curation occurs through editorial, community/user, and semi-automated processes."},"support_links":[{"url":"http://snpedia.com/index.php/SNPedia:FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://snpedia.com/index.php/SNPedia:About","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/SNPedia","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000145","bsg-d000145"],"name":"FAIRsharing record for: SNPedia","abbreviation":"SNPedia","url":"https://fairsharing.org/10.25504/FAIRsharing.29zsb8","doi":"10.25504/FAIRsharing.29zsb8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SNPedia is a wiki resource of the functional consequences of human genetic variation as published in peer-reviewed studies. Entries are formatted to allow associations to be assigned to single genotypes as well as sets of genotypes (genosets). Curation occurs through editorial, community/user, and semi-automated processes.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11053}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genetics","Life Science","Biomedical Science"],"domains":["Genetic polymorphism","Curated information","Single nucleotide polymorphism","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1140,"pubmed_id":22140107,"title":"SNPedia: a wiki supporting personal genome annotation, interpretation and analysis.","year":2011,"url":"http://doi.org/10.1093/nar/gkr798","authors":"Cariaso M,Lennon G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr798","created_at":"2021-09-30T08:24:26.705Z","updated_at":"2021-09-30T11:29:00.485Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States (CC BY-NC-SA 3.0 US)","licence_id":185,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/us/","link_id":155,"relation":"undefined"}],"grants":[{"id":12022,"fairsharing_record_id":1689,"organisation_id":4429,"relation":"maintains","created_at":"2024-07-04T08:40:59.399Z","updated_at":"2024-07-04T08:40:59.399Z","grant_id":null,"is_lead":true,"saved_state":{"id":4429,"name":"MyHeritage","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1690","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:23.576Z","metadata":{"doi":"10.25504/FAIRsharing.2ck3st","name":"SubtiWiki","status":"ready","contacts":[{"contact_name":"Jörg Stülke","contact_email":"jstuelk@gwdg.de"}],"homepage":"http://subtiwiki.uni-goettingen.de","citations":[],"identifier":1690,"description":"Collaborative resource for the Bacillus community.","abbreviation":"SubtiWiki","data_curation":{"type":"manual"},"support_links":[{"url":"http://subtiwiki.uni-goettingen.de/static/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://subtiwiki.uni-goettingen.de/wiki/index.php/Main_Page","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000146","bsg-d000146"],"name":"FAIRsharing record for: SubtiWiki","abbreviation":"SubtiWiki","url":"https://fairsharing.org/10.25504/FAIRsharing.2ck3st","doi":"10.25504/FAIRsharing.2ck3st","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Collaborative resource for the Bacillus community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Molecular interaction","Genetic interaction","Plasmid","Gene"],"taxonomies":["Bacillus subtilis"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":207,"pubmed_id":20157485,"title":"A community-curated consensual annotation that is continuously updated: the Bacillus subtilis centred wiki SubtiWiki.","year":2010,"url":"http://doi.org/10.1093/database/bap012","authors":"Flórez LA., Roppel SF., Schmeisky AG., Lammers CR., Stülke J.,","journal":"Database (Oxford)","doi":"10.1093/database/bap012","created_at":"2021-09-30T08:22:42.539Z","updated_at":"2021-09-30T08:22:42.539Z"},{"id":1396,"pubmed_id":19959575,"title":"Connecting parts with processes: SubtiWiki and SubtiPathways integrate gene and pathway annotation for Bacillus subtilis.","year":2009,"url":"http://doi.org/10.1099/mic.0.035790-0","authors":"Lammers CR., Flórez LA., Schmeisky AG., Roppel SF., Mäder U., Hamoen L., Stülke J.,","journal":"Microbiology (Reading, Engl.)","doi":"10.1099/mic.0.035790-0","created_at":"2021-09-30T08:24:56.076Z","updated_at":"2021-09-30T08:24:56.076Z"},{"id":2250,"pubmed_id":26433225,"title":"SubtiWiki 2.0--an integrated database for the model organism Bacillus subtilis.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1006","authors":"Michna RH,Zhu B,Mader U,Stulke J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1006","created_at":"2021-09-30T08:26:33.648Z","updated_at":"2021-09-30T11:29:31.595Z"}],"licence_links":[],"grants":[{"id":469,"fairsharing_record_id":1690,"organisation_id":1127,"relation":"maintains","created_at":"2021-09-30T09:24:32.877Z","updated_at":"2021-09-30T09:24:32.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":1127,"name":"Georg-August-Universitat Gottingen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9347,"fairsharing_record_id":1690,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.081Z","updated_at":"2022-04-11T12:07:32.098Z","grant_id":17,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"PtJ-BIO/0313978D","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1691","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:23:00.409Z","metadata":{"doi":"10.25504/FAIRsharing.se4zhk","name":"SuperTarget","status":"deprecated","contacts":[{"contact_name":"Robert Preissner","contact_email":"robert.preissner@charite.de"}],"homepage":"http://bioinformatics.charite.de/supertarget","citations":[],"identifier":1691,"description":"Drug-related information: medical indications, adverse drug effects, drug metabolism and Gene Ontology terms of the target proteins.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://bioinformatics.charite.de/supertarget/index.php?site=about","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012195","name":"re3data:r3d100012195","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002696","name":"SciCrunch:RRID:SCR_002696","portal":"SciCrunch"}],"deprecation_date":"2022-02-07","deprecation_reason":"The homepage for this resource currently unavailable, but should be accessible in the future.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000147","bsg-d000147"],"name":"FAIRsharing record for: SuperTarget","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.se4zhk","doi":"10.25504/FAIRsharing.se4zhk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Drug-related information: medical indications, adverse drug effects, drug metabolism and Gene Ontology terms of the target proteins.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11765}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme Commission number","Sequence similarity","Chemical structure","Anatomical Therapeutic Chemical Code","Gene Ontology enrichment","Drug","Target"],"taxonomies":["All"],"user_defined_tags":["Synonyms"],"countries":["Germany"],"publications":[{"id":200,"pubmed_id":17942422,"title":"SuperTarget and Matador: resources for exploring drug-target relationships.","year":2007,"url":"http://doi.org/10.1093/nar/gkm862","authors":"Günther S., Kuhn M., Dunkel M., Campillos M., Senger C., Petsalaki E., Ahmed J., Urdiales EG., Gewiess A., Jensen LJ., Schneider R., Skoblo R., Russell RB., Bourne PE., Bork P., Preissner R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm862","created_at":"2021-09-30T08:22:41.864Z","updated_at":"2021-09-30T08:22:41.864Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":156,"relation":"undefined"}],"grants":[{"id":470,"fairsharing_record_id":1691,"organisation_id":2660,"relation":"maintains","created_at":"2021-09-30T09:24:32.907Z","updated_at":"2021-09-30T09:24:32.907Z","grant_id":null,"is_lead":false,"saved_state":{"id":2660,"name":"Structural Bioinformatics Group, Institute of Molecular Biology and Bioinformatics, Charit-University Medicine Berlin, Arnimallee 22, 14195 Berlin, Germany.","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1697","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-11T08:09:09.802Z","metadata":{"doi":"10.25504/FAIRsharing.2qx8n8","name":"Virus Pathogen Database and Analysis Resource","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"rscheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"http://www.viprbrc.org","citations":[{"doi":"10.1016/b978-0-12-809633-8.20995-3","pubmed_id":null,"publication_id":3507}],"identifier":1697,"description":"The Virus Pathogen Database and Analysis Resource (ViPR) is an integrated repository of data and analysis tools for multiple virus families, supported by the National Institute of Allergy and Infectious Diseases (NIAID) Bioinformatics Resource Centers (BRC) program. ViPR captures various types of information, including sequence records, gene and protein annotations, 3D protein structures, immune epitope locations, clinical and surveillance metadata and novel data derived from comparative genomics analysis. The database is available without charge as a service to the virology research community to help facilitate the development of diagnostics, prophylactics and therapeutics for priority pathogens and other viruses.","abbreviation":"ViPR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"feedback@virusbrc.org","type":"Support email"},{"url":"https://www.viprbrc.org/brc/staticContent.spg?decorator=vipr\u0026type=ViprInfo\u0026subtype=FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.viprbrc.org/brcDocs/ViPRHelp/ViPRhelpfile.htm","type":"Help documentation"},{"url":"https://www.viprbrc.org/brc/problemReport.spg?decorator=vipr","name":"","type":"Contact form"},{"url":"https://www.viprbrc.org/brc/viprTutorials.spg?decorator=vipr","type":"Training documentation"},{"url":"https://github.com/VirusBRC","name":"","type":"Github"},{"url":"https://www.viprbrc.org/brc/newslettersVipr.spg?method=release\u0026decorator=vipr","name":"Virus Pathogen Resource Newsletters","type":"Blog/News"},{"url":"https://www.viprbrc.org/brc/staticContent.spg?decorator=vipr\u0026type=Document\u0026param=vipr-data-standards.html","name":"Data Standards","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://www.viprbrc.org/brc/mgc.spg?method=ShowCleanInputPage\u0026","name":"Metadata-driven Comparative Analysis Tool for Sequences (meta-CATS)"},{"url":"http://www.viprbrc.org/brc/msa.spg?method=ShowCleanInputPage\u0026","name":"Multiple sequence alignment calculation and visualization"},{"url":"http://www.viprbrc.org/brc/tree.spg?method=ShowCleanInputPage\u0026","name":"Phylogenetic tree calculation and visualization"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011931","name":"re3data:r3d100011931","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012983","name":"SciCrunch:RRID:SCR_012983","portal":"SciCrunch"}],"deprecation_date":"2023-07-11","deprecation_reason":"Virus Pathogen Database and Analysis Resource (ViPR) has been shut down/deprecated and replaced by the Bacterial and Viral Bioinformatics Resource Center (BV-BRC).","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000154","bsg-d000154"],"name":"FAIRsharing record for: Virus Pathogen Database and Analysis Resource","abbreviation":"ViPR","url":"https://fairsharing.org/10.25504/FAIRsharing.2qx8n8","doi":"10.25504/FAIRsharing.2qx8n8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Virus Pathogen Database and Analysis Resource (ViPR) is an integrated repository of data and analysis tools for multiple virus families, supported by the National Institute of Allergy and Infectious Diseases (NIAID) Bioinformatics Resource Centers (BRC) program. ViPR captures various types of information, including sequence records, gene and protein annotations, 3D protein structures, immune epitope locations, clinical and surveillance metadata and novel data derived from comparative genomics analysis. The database is available without charge as a service to the virology research community to help facilitate the development of diagnostics, prophylactics and therapeutics for priority pathogens and other viruses.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10762},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12298},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12612}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Proteomics","Virology","Life Science","Biomedical Science","Epidemiology"],"domains":["Expression data","Structure","Sequence feature"],"taxonomies":["Arenaviridae","Bunyaviridae","Caliciviridae","Coronaviridae","Filoviridae","Flaviviridae","Hepeviridae","Herpesviridae","Paramyxoviridae","Picornaviridae","Poxviridae","Reoviridae","Rhabdoviridae","Togaviridae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1310,"pubmed_id":22006842,"title":"ViPR: an open bioinformatics database and analysis resource for virology research.","year":2011,"url":"http://doi.org/10.1093/nar/gkr859","authors":"Pickett BE., Sadat EL., Zhang Y., Noronha JM., Squires RB., Hunt V., Liu M., Kumar S., Zaremba S., Gu Z., Zhou L., Larson CN., Dietrich J., Klem EB., Scheuermann RH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr859","created_at":"2021-09-30T08:24:46.267Z","updated_at":"2021-09-30T08:24:46.267Z"},{"id":3341,"pubmed_id":null,"title":"Virus Pathogen Database and Analysis Resource (ViPR): A Comprehensive Bioinformatics Database and Analysis Resource for the Coronavirus Research Community","year":2012,"url":"http://dx.doi.org/10.3390/v4113209","authors":"Pickett, Brett; Greer, Douglas; Zhang, Yun; Stewart, Lucy; Zhou, Liwei; Sun, Guangyu; Gu, Zhiping; Kumar, Sanjeev; Zaremba, Sam; Larsen, Christopher; Jen, Wei; Klem, Edward; Scheuermann, Richard; ","journal":"Viruses","doi":"10.3390/v4113209","created_at":"2022-04-29T15:01:37.918Z","updated_at":"2022-04-29T15:01:37.918Z"},{"id":3506,"pubmed_id":null,"title":"Virus Databases ☆","year":2017,"url":"http://dx.doi.org/10.1016/B978-0-12-801238-3.95728-3","authors":"McLeod, Kathleen; Upton, Chris; ","journal":"Reference Module in Biomedical Sciences","doi":"10.1016/b978-0-12-801238-3.95728-3","created_at":"2022-08-02T14:47:22.387Z","updated_at":"2022-08-02T14:47:22.387Z"},{"id":3507,"pubmed_id":null,"title":"Database and Analytical Resources for Viral Research Community","year":2019,"url":"http://dx.doi.org/10.1016/B978-0-12-809633-8.20995-3","authors":"Phadke, Sujal; Macherla, Saichetana; Scheuermann, Richard H.; ","journal":"Encyclopedia of Virology","doi":"10.1016/b978-0-12-809633-8.20995-3","created_at":"2022-08-02T14:47:43.108Z","updated_at":"2022-08-02T14:47:43.108Z"}],"licence_links":[],"grants":[{"id":490,"fairsharing_record_id":1697,"organisation_id":2183,"relation":"maintains","created_at":"2021-09-30T09:24:33.593Z","updated_at":"2021-09-30T09:24:33.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":2183,"name":"Northrop Grumman Health IT","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":486,"fairsharing_record_id":1697,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:24:33.411Z","updated_at":"2021-09-30T09:24:33.411Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":489,"fairsharing_record_id":1697,"organisation_id":3179,"relation":"maintains","created_at":"2021-09-30T09:24:33.554Z","updated_at":"2021-09-30T09:24:33.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":3179,"name":"Vecna Technologies","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":488,"fairsharing_record_id":1697,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:33.512Z","updated_at":"2021-09-30T09:30:24.164Z","grant_id":696,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":487,"fairsharing_record_id":1697,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:33.472Z","updated_at":"2021-09-30T09:30:09.096Z","grant_id":574,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01-AI2008038","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1680","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T08:59:55.285Z","metadata":{"doi":"10.25504/FAIRsharing.yytevr","name":"MetaCyc","status":"ready","contacts":[{"contact_name":"BioCyc Support","contact_email":"biocyc-support@ai.sri.com"}],"homepage":"http://metacyc.org/","citations":[],"identifier":1680,"description":"MetaCyc is the largest curated collection of metabolic pathways currently available. It provides a comprehensive resource for metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are experimentally determined, small-molecule metabolic pathways, and are curated from the primary scientific literature. Most reactions in MetaCyc pathways are linked to one or more well-characterized enzymes, and both pathways and enzymes are annotated with reviews, evidence codes, and literature citations. As of 2024 MetaCyc describes 3,150 pathways and 19,000 reactions curated from 76,000 publications.\nMetaCyc is a general reference on metabolic pathways, and is used for metabolic reconstruction from sequence genomes, and for gap-filling metabolic models.\n","abbreviation":null,"data_curation":{"url":"http://bioinformatics.ai.sri.com/ptools/curatorsguide.pdf","type":"manual","notes":"Curator guide for Pathway/Genome database"},"support_links":[{"url":"http://metacyc.org/contact.shtml","type":"Contact form"},{"url":"http://metacyc.org/MetaCycUserGuide.shtml","type":"Help documentation"},{"url":"https://twitter.com/BioCyc","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/MetaCyc","type":"Wikipedia"}],"year_creation":1999,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011294","name":"re3data:r3d100011294","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007778","name":"SciCrunch:RRID:SCR_007778","portal":"SciCrunch"}],"data_access_condition":{"url":"https://metacyc.org/login-help.shtml#why-account","type":"partially open","notes":"Creation of a free BioCyc account is required after an initial set of accesses even for paid subscribers."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://metacyc.org/MetaCycUserGuide.shtml","type":"controlled","notes":"If you are a Pathway Tools user and have created a pathway that fits our criteria, please send it to us."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000136","bsg-d000136"],"name":"FAIRsharing record for: MetaCyc","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.yytevr","doi":"10.25504/FAIRsharing.yytevr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaCyc is the largest curated collection of metabolic pathways currently available. It provides a comprehensive resource for metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are experimentally determined, small-molecule metabolic pathways, and are curated from the primary scientific literature. Most reactions in MetaCyc pathways are linked to one or more well-characterized enzymes, and both pathways and enzymes are annotated with reviews, evidence codes, and literature citations. As of 2024 MetaCyc describes 3,150 pathways and 19,000 reactions curated from 76,000 publications.\nMetaCyc is a general reference on metabolic pathways, and is used for metabolic reconstruction from sequence genomes, and for gap-filling metabolic models.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics","Systems Biology"],"domains":["Annotation","Omics data analysis","Small molecule","Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2583,"pubmed_id":22102576,"title":"The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1014","authors":"Caspi R., Altman T., Dreher K., Fulcher CA., Subhraveti P., Keseler IM., Kothari A., Krummenacker M., Latendresse M., Mueller LA., Ong Q., Paley S., Pujar A., Shearer AG., Travers M., Weerasinghe D., Zhang P., Karp PD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1014","created_at":"2021-09-30T08:27:16.713Z","updated_at":"2021-09-30T08:27:16.713Z"},{"id":2584,"pubmed_id":24225315,"title":"The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases","year":2013,"url":"http://doi.org/10.1093/nar/gkt1103","authors":"Caspi R, Altman T, Billington R, Dreher K, Foerster H, Fulcher CA, Holland TA, Keseler IM, Kothari A, Kubo A, Krummenacker M, Latendresse M, Mueller LA, Ong Q, Paley S, Subhraveti P, Weaver DS, Weerasinghe D, Zhang P, Karp PD.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1103","created_at":"2021-09-30T08:27:16.887Z","updated_at":"2021-09-30T08:27:16.887Z"},{"id":2585,"pubmed_id":26527732,"title":"The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1164","authors":"Caspi R,Billington R,Ferrer L,Foerster H,Fulcher CA,Keseler IM,Kothari A,Krummenacker M,Latendresse M,Mueller LA,Ong Q,Paley S,Subhraveti P,Weaver DS,Karp PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1164","created_at":"2021-09-30T08:27:17.001Z","updated_at":"2021-09-30T11:29:40.011Z"},{"id":4253,"pubmed_id":null,"title":"The Omics Dashboard for Interactive Exploration of Metabolomics and Multi-Omics Data","year":2024,"url":"http://dx.doi.org/10.3390/metabo14010065","authors":"Paley, Suzanne; Karp, Peter D.; ","journal":"Metabolites","doi":"10.3390/metabo14010065","created_at":"2024-04-16T17:47:53.879Z","updated_at":"2024-04-16T17:47:53.879Z"}],"licence_links":[{"licence_name":"BioCyc Database License","licence_id":78,"licence_url":"https://biocyc.org/download-flatfiles.shtml","link_id":672,"relation":"undefined"}],"grants":[{"id":440,"fairsharing_record_id":1680,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:24:31.752Z","updated_at":"2021-09-30T09:24:31.752Z","grant_id":null,"is_lead":true,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":439,"fairsharing_record_id":1680,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:31.715Z","updated_at":"2021-09-30T09:29:22.386Z","grant_id":218,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM080746","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":441,"fairsharing_record_id":1680,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:31.794Z","updated_at":"2021-09-30T09:31:21.775Z","grant_id":1135,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM75742","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7881,"fairsharing_record_id":1680,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:29:23.566Z","updated_at":"2021-09-30T09:29:23.617Z","grant_id":228,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM077678","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbHNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f8bba0a8f6ea7cc18e5e6809e0df7e0e4e705a55/metacyc.png?disposition=inline","exhaustive_licences":false}},{"id":"1688","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.655Z","metadata":{"doi":"10.25504/FAIRsharing.490xfb","name":"Stem Cell Discovery Engine","status":"deprecated","contacts":[{"contact_name":"Philippe Rocca-Serra","contact_email":"philippe.rocca-serra@oerc.ox.ac.uk","contact_orcid":"0000-0001-9853-5668"}],"homepage":"http://discovery.hsci.harvard.edu/","identifier":1688,"description":"Comparison system for cancer stem cell analysis","abbreviation":"SCDE","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://discovery.hsci.harvard.edu/galaxy/","name":"Galaxy gene list comparisons"}],"deprecation_date":"2015-04-21","deprecation_reason":"This resource is no longer maintained, and its data has now been merged with Stem Cell Commons as stated on the SCDE website (http://discovery.hsci.harvard.edu/).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000144","bsg-d000144"],"name":"FAIRsharing record for: Stem Cell Discovery Engine","abbreviation":"SCDE","url":"https://fairsharing.org/10.25504/FAIRsharing.490xfb","doi":"10.25504/FAIRsharing.490xfb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Comparison system for cancer stem cell analysis","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Life Science","Biomedical Science"],"domains":["Citation","Model organism","Cell","Antibody","Chromatin immunoprecipitation - DNA sequencing","Histology","Phenotype","Disease","Tissue","Genotype"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Raw microarray data","Surface protein markers"],"countries":["United States"],"publications":[{"id":1066,"pubmed_id":22121217,"title":"The Stem Cell Discovery Engine: an integrated repository and analysis system for cancer stem cell comparisons.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1051","authors":"Ho Sui SJ., Begley K., Reilly D., Chapman B., McGovern R., Rocca-Sera P., Maguire E., Altschuler GM., Hansen TA., Sompallae R., Krivtsov A., Shivdasani RA., Armstrong SA., Culhane AC., Correll M., Sansone SA., Hofmann O., Hide W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1051","created_at":"2021-09-30T08:24:18.073Z","updated_at":"2021-09-30T08:24:18.073Z"}],"licence_links":[],"grants":[{"id":465,"fairsharing_record_id":1688,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:32.729Z","updated_at":"2021-09-30T09:24:32.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":466,"fairsharing_record_id":1688,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:24:32.777Z","updated_at":"2021-09-30T09:24:32.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1718","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:05.613Z","metadata":{"doi":"10.25504/FAIRsharing.3qh2tg","name":"MODOMICS","status":"ready","contacts":[{"contact_name":"Magdalena Machnicka","contact_email":"mmika@genesilico.pl"}],"homepage":"http://modomics.genesilico.pl/","identifier":1718,"description":"MODOMICS is the first comprehensive database system for biology of RNA modification. It integrates information about the chemical structure of modified nucleosides, their localization in RNA sequences, pathways of their biosynthesis and enzymes that carry out the respective reactions (together with their protein cofactors). Also included are the protein sequences, the structure data (if available), selected references from scientific literature, and links to other databases allowing to obtain comprehensive information about individual modified residues and proteins involved in their biosynthesis.","abbreviation":"MODOMICS","data_curation":{"type":"manual/automated","notes":"https://genesilico.pl/modomics/help"},"support_links":[{"url":"kaja@genesilico.pl","type":"Support email"},{"url":"http://modomics.genesilico.pl/help/","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000175","bsg-d000175"],"name":"FAIRsharing record for: MODOMICS","abbreviation":"MODOMICS","url":"https://fairsharing.org/10.25504/FAIRsharing.3qh2tg","doi":"10.25504/FAIRsharing.3qh2tg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MODOMICS is the first comprehensive database system for biology of RNA modification. It integrates information about the chemical structure of modified nucleosides, their localization in RNA sequences, pathways of their biosynthesis and enzymes that carry out the respective reactions (together with their protein cofactors). Also included are the protein sequences, the structure data (if available), selected references from scientific literature, and links to other databases allowing to obtain comprehensive information about individual modified residues and proteins involved in their biosynthesis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["RNA sequence","Ribonucleic acid","RNA modification"],"taxonomies":["Aquifex aeolicus","Arabidopsis thaliana","Archaeoglobus fulgidus","Bacillus subtilis","Chlorobium tepidum","Clostridium thermocellum","Enterococcus faecium","Escherichia coli","Geobacillus kaustophilus","Geobacter sulfurreducens","Giardia","Haemophilus influenzae","Haloferax volcanii","Homo sapiens","Methanocaldococcus jannaschii","Methanopyrus kandleri","Micromonospora zionensis","Mus musculus","Mycobacterium tuberculosis","Mycoplasma capricolum","Nostoc","Pyrococcus abyssi","Pyrococcus furiosus","Pyrococcus horikoshii","Saccharomyces cerevisiae","Salmonella typhimurium","Schizosaccharomyces pombe","Staphylococcus sciuri","Streptococcus pneumoniae","Streptomyces actuosus","Streptomyces cyaneus","Streptomyces fradiae","Streptomyces sp. DSM 40477","Streptomyces viridochromogenes","Sulfolobus acidocaldarius","Sulfolobus solfataricus","Thermotoga maritima","Thermus thermophilus","Trypanosoma brucei","Yersinia pestis","Zymomonas mobilis"],"user_defined_tags":[],"countries":["Poland"],"publications":[{"id":1894,"pubmed_id":16381833,"title":"MODOMICS: a database of RNA modification pathways.","year":2005,"url":"http://doi.org/10.1093/nar/gkj084","authors":"Dunin-Horkawicz S., Czerwoniec A., Gajda MJ., Feder M., Grosjean H., Bujnicki JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj084","created_at":"2021-09-30T08:25:53.054Z","updated_at":"2021-09-30T08:25:53.054Z"},{"id":1895,"pubmed_id":18854352,"title":"MODOMICS: a database of RNA modification pathways. 2008 update.","year":2008,"url":"http://doi.org/10.1093/nar/gkn710","authors":"Czerwoniec A., Dunin-Horkawicz S., Purta E., Kaminska KH., Kasprzak JM., Bujnicki JM., Grosjean H., Rother K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn710","created_at":"2021-09-30T08:25:53.164Z","updated_at":"2021-09-30T08:25:53.164Z"},{"id":1896,"pubmed_id":23118484,"title":"MODOMICS: a database of RNA modification pathways--2013 update.","year":2012,"url":"http://doi.org/10.1093/nar/gks1007","authors":"Machnicka MA,Milanowska K,Osman Oglou O,Purta E,Kurkowska M,Olchowik A,Januszewski W,Kalinowski S,Dunin-Horkawicz S,Rother KM,Helm M,Bujnicki JM,Grosjean H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1007","created_at":"2021-09-30T08:25:53.272Z","updated_at":"2021-09-30T11:29:22.253Z"}],"licence_links":[],"grants":[{"id":567,"fairsharing_record_id":1718,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:36.415Z","updated_at":"2021-09-30T09:24:36.415Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":569,"fairsharing_record_id":1718,"organisation_id":930,"relation":"funds","created_at":"2021-09-30T09:24:36.485Z","updated_at":"2021-09-30T09:29:05.282Z","grant_id":87,"is_lead":false,"saved_state":{"id":930,"name":"European FP6 Eurasnet project","grant":"LSHG-CT-2005-518238","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":565,"fairsharing_record_id":1718,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:36.336Z","updated_at":"2021-09-30T09:30:06.056Z","grant_id":551,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"5R01AI056034-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":564,"fairsharing_record_id":1718,"organisation_id":330,"relation":"maintains","created_at":"2021-09-30T09:24:36.298Z","updated_at":"2021-09-30T09:24:36.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":330,"name":"Bujnicki Lab, Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw (IIMCB), Warsaw, Poland","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":566,"fairsharing_record_id":1718,"organisation_id":2820,"relation":"funds","created_at":"2021-09-30T09:24:36.373Z","updated_at":"2021-09-30T09:30:32.638Z","grant_id":757,"is_lead":false,"saved_state":{"id":2820,"name":"The Polish Ministry of Science and Higher Education","grant":"N301 010 31/0219","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":568,"fairsharing_record_id":1718,"organisation_id":1753,"relation":"funds","created_at":"2021-09-30T09:24:36.453Z","updated_at":"2021-09-30T09:30:25.849Z","grant_id":707,"is_lead":false,"saved_state":{"id":1753,"name":"Marie Curie 6th EU-6FP Research Training Network 'DNA Enzymes', Europe","grant":"MRTNCT-2005-019566 to K.R","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1719","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:44.667Z","metadata":{"doi":"10.25504/FAIRsharing.c1bjep","name":"HOmo sapiens transcription factor COmprehensive MOdel COllection","status":"ready","contacts":[{"contact_name":"Vsevolod Makeev","contact_email":"vsevolod.makeev@vigg.ru","contact_orcid":"0000-0001-9405-9748"}],"homepage":"https://hocomoco11.autosome.org/","citations":[{"doi":"10.1093/nar/gkx1106","pubmed_id":29140464,"publication_id":1794}],"identifier":1719,"description":"HOmo sapiens COmprehensive MOdel COllection (HOCOMOCO) v11 provides transcription factor (TF) binding models for 680 human and 453 mouse TFs. Since v11, HOCOMOCO is complemented by MoLoTool, an interactive web tool to mark motif occurrences in a given set of DNA sequences. In addition to basic mononucleotide position weight matrices (PWMs), HOCOMOCO provides dinucleotide position weight matrices based on ChIP-Seq data. All the models were produced by the ChIPMunk motif discovery tool. Model quality ratings are results of a comprehensive cross-validation benchmark. ChIP-Seq data for motif discovery was extracted from GTRD database of BioUML platform, that also provides an interface for motif finding (sequence scanning) with HOCOMOCO models.","abbreviation":"HOCOMOCO","data_curation":{"url":"https://hocomoco11.autosome.org/help","type":"manual"},"support_links":[{"url":"https://hocomoco11.autosome.org/help","name":"Hocomovo v.11 help","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://autosome.org/ChIPMunk/","name":"Chipmunk v6b"},{"url":"https://opera.autosome.org/macroape/","name":"MacroApe v4.c"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000176","bsg-d000176"],"name":"FAIRsharing record for: HOmo sapiens transcription factor COmprehensive MOdel COllection","abbreviation":"HOCOMOCO","url":"https://fairsharing.org/10.25504/FAIRsharing.c1bjep","doi":"10.25504/FAIRsharing.c1bjep","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HOmo sapiens COmprehensive MOdel COllection (HOCOMOCO) v11 provides transcription factor (TF) binding models for 680 human and 453 mouse TFs. Since v11, HOCOMOCO is complemented by MoLoTool, an interactive web tool to mark motif occurrences in a given set of DNA sequences. In addition to basic mononucleotide position weight matrices (PWMs), HOCOMOCO provides dinucleotide position weight matrices based on ChIP-Seq data. All the models were produced by the ChIPMunk motif discovery tool. Model quality ratings are results of a comprehensive cross-validation benchmark. ChIP-Seq data for motif discovery was extracted from GTRD database of BioUML platform, that also provides an interface for motif finding (sequence scanning) with HOCOMOCO models.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Transcription factor","Chromatin immunoprecipitation - DNA sequencing","Curated information"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Russia","Saudi Arabia"],"publications":[{"id":1046,"pubmed_id":23175603,"title":"HOCOMOCO: a comprehensive collection of human transcription factor binding sites models.","year":2012,"url":"http://doi.org/10.1093/nar/gks1089","authors":"Kulakovskiy IV,Medvedeva YA,Schaefer U,Kasianov AS,Vorontsov IE,Bajic VB,Makeev VJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1089","created_at":"2021-09-30T08:24:15.795Z","updated_at":"2021-09-30T11:28:57.376Z"},{"id":1051,"pubmed_id":20736340,"title":"Deep and wide digging for binding motifs in ChIP-Seq data.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq488","authors":"Kulakovskiy IV,Boeva VA,Favorov AV,Makeev VJ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq488","created_at":"2021-09-30T08:24:16.364Z","updated_at":"2021-09-30T08:24:16.364Z"},{"id":1054,"pubmed_id":23427986,"title":"From binding motifs in ChIP-Seq data to improved models of transcription factor binding sites.","year":2013,"url":"http://doi.org/10.1142/S0219720013400040","authors":"Kulakovskiy I,Levitsky V,Oshchepkov D,Bryzgalov L,Vorontsov I,Makeev V","journal":"J Bioinform Comput Biol","doi":"10.1142/S0219720013400040","created_at":"2021-09-30T08:24:16.732Z","updated_at":"2021-09-30T08:24:16.732Z"},{"id":1055,"pubmed_id":24074225,"title":"Jaccard index based similarity measure to compare transcription factor binding site models.","year":2013,"url":"http://doi.org/10.1186/1748-7188-8-23","authors":"Vorontsov IE,Kulakovskiy IV,Makeev VJ","journal":"Algorithms Mol Biol","doi":"10.1186/1748-7188-8-23","created_at":"2021-09-30T08:24:16.839Z","updated_at":"2021-09-30T08:24:16.839Z"},{"id":1794,"pubmed_id":29140464,"title":"HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1106","authors":"Kulakovskiy IV,Vorontsov IE,Yevshin IS,Sharipov RN,Fedorova AD,Rumynskiy EI,Medvedeva YA,Magana-Mora A,Bajic VB,Papatsenko DA,Kolpakov FA,Makeev VJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1106","created_at":"2021-09-30T08:25:41.436Z","updated_at":"2021-09-30T11:29:20.910Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1917,"relation":"undefined"}],"grants":[{"id":573,"fairsharing_record_id":1719,"organisation_id":1439,"relation":"maintains","created_at":"2021-09-30T09:24:36.606Z","updated_at":"2021-09-30T09:24:36.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":1439,"name":"Institute of Systems Biology Ltd, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":575,"fairsharing_record_id":1719,"organisation_id":2475,"relation":"funds","created_at":"2021-09-30T09:24:36.691Z","updated_at":"2021-09-30T09:30:35.346Z","grant_id":777,"is_lead":false,"saved_state":{"id":2475,"name":"Russian Science Foundation","grant":"14-50-00060","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8128,"fairsharing_record_id":1719,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:31:06.447Z","updated_at":"2021-09-30T09:31:06.512Z","grant_id":1020,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"15-34-20423","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8224,"fairsharing_record_id":1719,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:31:37.848Z","updated_at":"2021-09-30T09:31:37.900Z","grant_id":1257,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"07.514.11.4005","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":571,"fairsharing_record_id":1719,"organisation_id":3178,"relation":"maintains","created_at":"2021-09-30T09:24:36.534Z","updated_at":"2021-09-30T09:24:36.534Z","grant_id":null,"is_lead":false,"saved_state":{"id":3178,"name":"Vavilov Institute of General Genetics, Russian Academy of Sciences, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":572,"fairsharing_record_id":1719,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:24:36.564Z","updated_at":"2021-09-30T09:24:36.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":570,"fairsharing_record_id":1719,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:24:36.508Z","updated_at":"2021-09-30T09:29:58.238Z","grant_id":492,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"14-04-01838","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":574,"fairsharing_record_id":1719,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:24:36.646Z","updated_at":"2021-09-30T09:30:27.463Z","grant_id":720,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"11.G34.31.0008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8223,"fairsharing_record_id":1719,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:31:37.715Z","updated_at":"2021-09-30T09:31:37.766Z","grant_id":1256,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"07.514.11.4006","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1720","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:48.760Z","metadata":{"doi":"10.25504/FAIRsharing.g646hq","name":"MetalPDB","status":"ready","contacts":[{"contact_name":"Claudia Andreini","contact_email":"andreini@cerm.unifi.it","contact_orcid":"0000-0003-4329-8225"},{"contact_name":"Antonio Rosato","contact_email":"rosato@cerm.unifi.it","contact_orcid":"0000-0001-6172-0368"}],"homepage":"http://metalpdb.cerm.unifi.it/","citations":[{"doi":"10.1093/nar/gkx989","pubmed_id":null,"publication_id":3191}],"identifier":1720,"description":"MetalPDB is a resource aimed at conveying the information available on the three-dimensional structures of metal-binding biological macromolecules in a consistent and effective manner. This is achieved through the systematic and automated representation of metal-binding sites in proteins and nucleic acids by way of Minimal Functional Sites (MFSs). MFSs are three-dimensional templates that describe the local environment around the metal(s) independently of the larger context of the macromolecular structure embedding the site(s), and are the central objects of MetalPDB design. MFSs are grouped into equistructural (broadly defined as sites found in corresponding positions in similar structures) and equivalent sites (equistructural sites that contain the same metals), allowing users to easily analyze similarities and variations in metal-macromolecule interactions, and to link them to functional information.","abbreviation":"MetalPDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://metalpdb.cerm.unifi.it/glossary","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","associated_tools":[{"url":"http://metalweb.cerm.unifi.it/tools/findgeo/","name":"FindGeo"},{"url":"http://metalweb.cerm.unifi.it/tools/metals2/","name":"Metals2"},{"url":"http://metalweb.cerm.unifi.it/tools/metals3/","name":"Metals3"},{"url":"http://metalweb.cerm.unifi.it/tools/metalpredator/","name":"Metal Predator"}],"data_access_condition":{"type":"not found"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000177","bsg-d000177"],"name":"FAIRsharing record for: MetalPDB","abbreviation":"MetalPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.g646hq","doi":"10.25504/FAIRsharing.g646hq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetalPDB is a resource aimed at conveying the information available on the three-dimensional structures of metal-binding biological macromolecules in a consistent and effective manner. This is achieved through the systematic and automated representation of metal-binding sites in proteins and nucleic acids by way of Minimal Functional Sites (MFSs). MFSs are three-dimensional templates that describe the local environment around the metal(s) independently of the larger context of the macromolecular structure embedding the site(s), and are the central objects of MetalPDB design. MFSs are grouped into equistructural (broadly defined as sites found in corresponding positions in similar structures) and equivalent sites (equistructural sites that contain the same metals), allowing users to easily analyze similarities and variations in metal-macromolecule interactions, and to link them to functional information.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12619},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13852}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Protein structure","Ligand","Metal ion binding","Structure"],"taxonomies":["All"],"user_defined_tags":["Metal-macromolecule interaction"],"countries":["Italy"],"publications":[{"id":1897,"pubmed_id":23155064,"title":"MetalPDB: a database of metal sites in biological macromolecular structures.","year":2012,"url":"http://doi.org/10.1093/nar/gks1063","authors":"Andreini C,Cavallaro G,Lorenzini S,Rosato A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1063","created_at":"2021-09-30T08:25:53.387Z","updated_at":"2021-09-30T11:29:22.352Z"},{"id":3191,"pubmed_id":null,"title":"MetalPDB in 2018: a database of metal sites in biological macromolecular structures","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx989","authors":"Putignano, Valeria; Rosato, Antonio; Banci, Lucia; Andreini, Claudia; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx989","created_at":"2022-01-20T15:49:27.326Z","updated_at":"2022-01-20T15:49:27.326Z"}],"licence_links":[],"grants":[{"id":8737,"fairsharing_record_id":1720,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-20T11:14:39.873Z","updated_at":"2022-01-20T11:14:39.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":576,"fairsharing_record_id":1720,"organisation_id":483,"relation":"maintains","created_at":"2021-09-30T09:24:36.728Z","updated_at":"2022-01-20T15:51:29.897Z","grant_id":null,"is_lead":true,"saved_state":{"id":483,"name":"CERM, University of Florence, Florence, Italy","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8740,"fairsharing_record_id":1720,"organisation_id":912,"relation":"funds","created_at":"2022-01-20T15:51:29.864Z","updated_at":"2022-01-20T15:51:29.864Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9305,"fairsharing_record_id":1720,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.122Z","updated_at":"2022-04-11T12:07:29.136Z","grant_id":976,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"RBRN07BMCT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9306,"fairsharing_record_id":1720,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.195Z","updated_at":"2022-04-11T12:07:29.210Z","grant_id":1761,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"2009FAKHZT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9307,"fairsharing_record_id":1720,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.272Z","updated_at":"2022-04-11T12:07:29.287Z","grant_id":126,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"RBFR08WGXT","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1721","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:44:39.557Z","metadata":{"doi":"10.25504/FAIRsharing.ysp7ke","name":"Plant Resistance Gene Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"prg@crg.eu"}],"homepage":"http://prgdb.org/prgdb4/","citations":[],"identifier":1721,"description":"PRGdb is an open and daily updated space about plant resistance genes (PRGs), in which all information available about these genes is stored, annotated and discussed. ","abbreviation":"PRGdb","data_curation":{"url":"https://doi.org/10.1093/nar/gkab1087","type":"automated"},"support_links":[{"url":"http://prgdb.crg.eu/wiki/Howto","type":"Help documentation"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"http://www.prgdb.org/prgdb4/drago3","name":"DRAGO 3"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000178","bsg-d000178"],"name":"FAIRsharing record for: Plant Resistance Gene Database","abbreviation":"PRGdb","url":"https://fairsharing.org/10.25504/FAIRsharing.ysp7ke","doi":"10.25504/FAIRsharing.ysp7ke","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRGdb is an open and daily updated space about plant resistance genes (PRGs), in which all information available about these genes is stored, annotated and discussed. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Plant Genetics"],"domains":["Pathogen","Curated information","Crowdsourcing"],"taxonomies":["Musa","Oryza","Solanaceae","Viridiplantae"],"user_defined_tags":["Plant-pathogen interaction","Plant resistance"],"countries":["Italy","Spain"],"publications":[{"id":1928,"pubmed_id":19906694,"title":"PRGdb: a bioinformatics platform for plant resistance gene analysis.","year":2009,"url":"http://doi.org/10.1093/nar/gkp978","authors":"Sanseverino W., Roma G., De Simone M., Faino L., Melito S., Stupka E., Frusciante L., Ercolano MR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp978","created_at":"2021-09-30T08:25:56.957Z","updated_at":"2021-09-30T08:25:56.957Z"},{"id":1929,"pubmed_id":23161682,"title":"PRGdb 2.0: towards a community-based database model for the analysis of R-genes in plants.","year":2012,"url":"http://doi.org/10.1093/nar/gks1183","authors":"Sanseverino W,Hermoso A,D'Alessandro R,Vlasova A,Andolfo G,Frusciante L,Lowy E,Roma G,Ercolano MR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1183","created_at":"2021-09-30T08:25:57.112Z","updated_at":"2021-09-30T11:29:24.169Z"},{"id":3860,"pubmed_id":null,"title":"PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1087","authors":"Calle García, Joan; Guadagno, Anna; Paytuvi-Gallart, Andreu; Saera-Vila, Alfonso; Amoroso, Ciro Gianmaria; D’Esposito, Daniela; Andolfo, Giuseppe; Aiese Cigliano, Riccardo; Sanseverino, Walter; Ercolano, Maria Raffaella; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1087","created_at":"2023-05-05T10:38:44.857Z","updated_at":"2023-05-05T10:38:44.857Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":164,"relation":"undefined"}],"grants":[{"id":578,"fairsharing_record_id":1721,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:36.807Z","updated_at":"2021-09-30T09:32:44.004Z","grant_id":1753,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"PTA2010-4446-I","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":10041,"fairsharing_record_id":1721,"organisation_id":3630,"relation":"maintains","created_at":"2022-10-13T09:43:42.187Z","updated_at":"2022-10-13T09:43:42.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":3630,"name":"Centre for Genomic Regulation","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9304,"fairsharing_record_id":1721,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.055Z","updated_at":"2022-04-11T12:07:29.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb2dDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--24433421ab9ad56ff4e4d0ecbb5928bde95f1872/DRAGO2PRG.png?disposition=inline","exhaustive_licences":false}},{"id":"1699","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:35.136Z","metadata":{"doi":"10.25504/FAIRsharing.zx1td8","name":"WormBase","status":"ready","contacts":[],"homepage":"http://www.wormbase.org/","citations":[{"doi":"10.1093/nar/gkz920","pubmed_id":31642470,"publication_id":1136}],"identifier":1699,"description":"WormBase is an international consortium of biologists and computer scientists dedicated to providing the research community with accurate, current, accessible information concerning the genetics, genomics and biology of C. elegans and related nematodes.","abbreviation":"WormBase","data_curation":{"url":"https://wormbase.org//about/Frequently_asked_questions","type":"manual","notes":"WormBase has two avenues of gene expression curation: one for individual gene expression pattern evaluation and a second avenue for larger scale analyses of gene expression."},"support_links":[{"url":"https://wormbase.org//tools/support?url=/","name":"Feedback","type":"Contact form"},{"url":"help@wormbase.org","type":"Support email"},{"url":"http://blog.wormbase.org","type":"Blog/News"},{"url":"http://www.wormbase.org/about/userguide#023-1-5","name":"Userguide","type":"Help documentation"},{"url":"https://twitter.com/wormbase","name":"@wormbase","type":"Twitter"},{"url":"https://wormbase.org/resources#234--10","name":"Resources","type":"Other"},{"url":"https://wormbase.org/about/Frequently_asked_questions#639b15fa7e84c0d2--10","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.youtube.com/user/WormBaseHD","name":"Youtube channel","type":"Video"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"https://celegans.textpressocentral.org/tpc","name":"TextPresso"},{"url":"https://spell.wormbase.org/","name":"SPELL"},{"url":"https://wormbase.org/tools/rnaseq/expression_dataset_locator.cgi","name":"Expression Dataset Locator"},{"url":"https://wormbase.org/tools/soba/soba.cgi?action=Gene+Pair+to+SObA+Graph","name":"SObA Gene Pair"},{"url":"https://wormbase.org/tools/soba/soba.cgi?action=Terms+to+SObA+Graph","name":"SObA terms "},{"url":"https://wormbase.org/tools/enrichment/tea/tea.cgi","name":"Enrichment Analysis"},{"url":"https://parasite.wormbase.org/biomart/martview/37f8f578deb4063cd69c209d146eb2a9","name":"Parasite Biomart"},{"url":"http://intermine.wormbase.org/tools/wormmine/begin.do","name":"WormMine"},{"url":"https://wormbase.org/tools/mine/gene_sanitizer.cgi","name":"Gene Name Sanitizer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010424","name":"re3data:r3d100010424","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003098","name":"SciCrunch:RRID:SCR_003098","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://wormbase.org/about/userguide#15--10","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000156","bsg-d000156"],"name":"FAIRsharing record for: WormBase","abbreviation":"WormBase","url":"https://fairsharing.org/10.25504/FAIRsharing.zx1td8","doi":"10.25504/FAIRsharing.zx1td8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WormBase is an international consortium of biologists and computer scientists dedicated to providing the research community with accurate, current, accessible information concerning the genetics, genomics and biology of C. elegans and related nematodes.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10763},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11055},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16181}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Life Science"],"domains":["Mass spectrum","Citation","Cytogenetic map","Genome map","Protein domain","Gene name","Expression data","Bibliography","Free text","Gene Ontology enrichment","Protein interaction","Model organism","Clone library","Reagent","Regulation of gene expression","RNA interference","Antibody","Image","Molecular interaction","Genetic interaction","Small molecule","Genetic polymorphism","Protein expression","Cross linking","Phenotype","Disease","Sequence feature","Promoter","Untranslated region","Pseudogene","Binding site","Single nucleotide polymorphism","Gene","Orthologous","Trans spliced","Genome","Life cycle","Genetic strain"],"taxonomies":["Ascaris suum","Brugia malayi","Caenorhabditis angaria","Caenorhabditis brenneri","Caenorhabditis briggsae","Caenorhabditis elegans","Caenorhabditis japonica","Caenorhabditis remanei","Caenorhabditis sinica","Caenorhabditis tropicalis","Heterorhabditis bacteriophora","Loa Loa","Meloidogyne hapla","Pristionchus pacificus","Strongyloides ratti","Trichinella spiralis"],"user_defined_tags":["Researcher data"],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":212,"pubmed_id":21595960,"title":"Toward an interactive article: integrating journals and biological databases.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-175","authors":"Rangarajan A., Schedl T., Yook K., Chan J., Haenel S., Otis L., Faelten S., DePellegrin-Connelly T., Isaacson R., Skrzypek MS., Marygold SJ., Stefancsik R., Cherry JM., Sternberg PW., Müller HM.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-175","created_at":"2021-09-30T08:22:43.049Z","updated_at":"2021-09-30T08:22:43.049Z"},{"id":213,"pubmed_id":21071413,"title":"The BioGRID Interaction Database: 2011 update.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1116","authors":"Stark C., Breitkreutz BJ., Chatr-Aryamontri A., Boucher L., Oughtred R., Livstone MS., Nixon J., Van Auken K., Wang X., Shi X., Reguly T., Rust JM., Winter A., Dolinski K., Tyers M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1116","created_at":"2021-09-30T08:22:43.164Z","updated_at":"2021-09-30T08:22:43.164Z"},{"id":214,"pubmed_id":21059240,"title":"Localizing triplet periodicity in DNA and cDNA sequences.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-550","authors":"Wang L., Stein LD.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-550","created_at":"2021-09-30T08:22:43.256Z","updated_at":"2021-09-30T08:22:43.256Z"},{"id":215,"pubmed_id":19921742,"title":"Representing ontogeny through ontology: a developmental biologist's guide to the gene ontology.","year":2009,"url":"http://doi.org/10.1002/mrd.21130","authors":"Hill DP., Berardini TZ., Howe DG., Van Auken KM.,","journal":"Mol. Reprod. Dev.","doi":"10.1002/mrd.21130","created_at":"2021-09-30T08:22:43.356Z","updated_at":"2021-09-30T08:22:43.356Z"},{"id":1085,"pubmed_id":19920128,"title":"The Gene Ontology in 2010: extensions and refinements.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1018","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1018","created_at":"2021-09-30T08:24:20.203Z","updated_at":"2021-09-30T11:28:58.186Z"},{"id":1113,"pubmed_id":19910365,"title":"WormBase: a comprehensive resource for nematode research.","year":2009,"url":"http://doi.org/10.1093/nar/gkp952","authors":"Harris TW., Antoshechkin I., et al.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp952","created_at":"2021-09-30T08:24:23.298Z","updated_at":"2021-09-30T08:24:23.298Z"},{"id":1114,"pubmed_id":19622167,"title":"Semi-automated curation of protein subcellular localization: a text mining-based approach to Gene Ontology (GO) Cellular Component curation.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-228","authors":"Van Auken K., Jaffery J., Chan J., Müller HM., Sternberg PW.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-228","created_at":"2021-09-30T08:24:23.407Z","updated_at":"2021-09-30T08:24:23.407Z"},{"id":1130,"pubmed_id":19578431,"title":"The Gene Ontology's Reference Genome Project: a unified framework for functional annotation across species.","year":2009,"url":"http://doi.org/10.1371/journal.pcbi.1000431","authors":"The Gene Ontology Consortium","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1000431","created_at":"2021-09-30T08:24:25.389Z","updated_at":"2021-09-30T08:24:25.389Z"},{"id":1132,"pubmed_id":19099578,"title":"nGASP--the nematode genome annotation assessment project.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-549","authors":"Coghlan A., Fiedler TJ., McKay SJ., Flicek P., Harris TW., Blasiar D., Stein LD.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-549","created_at":"2021-09-30T08:24:25.607Z","updated_at":"2021-09-30T08:24:25.607Z"},{"id":1136,"pubmed_id":31642470,"title":"WormBase: a modern Model Organism Information Resource.","year":2019,"url":"http://doi.org/10.1093/nar/gkz920","authors":"Harris TW,Arnaboldi V,Cain S,Chan J,Chen WJ,Cho J,Davis P,Gao S,Grove CA,Kishore R,Lee RYN,Muller HM,Nakamura C,Nuin P,Paulini M,Raciti D,Rodgers FH,Russell M,Schindelman G,Auken KV,Wang Q,Williams G,Wright AJ,Yook K,Howe KL,Schedl T,Stein L,Sternberg PW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz920","created_at":"2021-09-30T08:24:26.088Z","updated_at":"2021-09-30T11:29:00.134Z"},{"id":1137,"pubmed_id":29069413,"title":"WormBase 2017: molting into a new stage.","year":2017,"url":"http://doi.org/10.1093/nar/gkx998","authors":"Lee RYN,Howe KL, et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx998","created_at":"2021-09-30T08:24:26.299Z","updated_at":"2021-09-30T11:29:00.235Z"}],"licence_links":[{"licence_name":"Wormbase licence","licence_id":921,"licence_url":"https://wormbase.org/about/policies","link_id":2640,"relation":"applies_to_content"}],"grants":[{"id":498,"fairsharing_record_id":1699,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:33.861Z","updated_at":"2021-09-30T09:24:33.861Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":502,"fairsharing_record_id":1699,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:34.021Z","updated_at":"2021-09-30T09:24:34.021Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":496,"fairsharing_record_id":1699,"organisation_id":1904,"relation":"maintains","created_at":"2021-09-30T09:24:33.798Z","updated_at":"2021-09-30T09:24:33.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":1904,"name":"MRC Laboratory of Molecular Biology (LMB), Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":499,"fairsharing_record_id":1699,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:33.904Z","updated_at":"2021-09-30T09:24:33.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":501,"fairsharing_record_id":1699,"organisation_id":344,"relation":"maintains","created_at":"2021-09-30T09:24:33.984Z","updated_at":"2021-09-30T09:24:33.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":344,"name":"California Institute of Technology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":503,"fairsharing_record_id":1699,"organisation_id":2246,"relation":"maintains","created_at":"2021-09-30T09:24:34.063Z","updated_at":"2021-09-30T09:24:34.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":2246,"name":"Ontario Institute For Cancer Research (OICR), Toronto, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":500,"fairsharing_record_id":1699,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:33.946Z","updated_at":"2021-09-30T09:32:44.772Z","grant_id":1759,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41 HG002223","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11607,"fairsharing_record_id":1699,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:34.135Z","updated_at":"2024-03-21T13:59:34.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBmZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c60951354c3f4e791869cd6b713d6b192977ea7f/logowb.png?disposition=inline","exhaustive_licences":false}},{"id":"1700","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:12.447Z","metadata":{"doi":"10.25504/FAIRsharing.tawpg2","name":"The Yeast Metabolome Database","status":"ready","contacts":[],"homepage":"http://www.ymdb.ca","citations":[],"identifier":1700,"description":"The Yeast Metabolome Database (YMDB) is a manually curated database of small molecule metabolites found in or produced by Saccharomyces cerevisiae (also known as Baker’s yeast and Brewer’s yeast). This database covers metabolites described in textbooks, scientific journals, metabolic reconstructions and other electronic databases.","abbreviation":"YMDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=ymdb","type":"Contact form"},{"url":"https://twitter.com/WishartLab","type":"Twitter"},{"url":"http://www.ymdb.ca/documentation","name":"Data source","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012733","name":"re3data:r3d100012733","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005890","name":"SciCrunch:RRID:SCR_005890","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000157","bsg-d000157"],"name":"FAIRsharing record for: The Yeast Metabolome Database","abbreviation":"YMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.tawpg2","doi":"10.25504/FAIRsharing.tawpg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Yeast Metabolome Database (YMDB) is a manually curated database of small molecule metabolites found in or produced by Saccharomyces cerevisiae (also known as Baker’s yeast and Brewer’s yeast). This database covers metabolites described in textbooks, scientific journals, metabolic reconstructions and other electronic databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Chemical formula","Mass spectrum","Chemical structure","Concentration","DNA sequence data","Gene Ontology enrichment","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Cellular localization","Protein","Gene","Amino acid sequence","Chemical descriptor"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":["Physical properties"],"countries":["Canada"],"publications":[{"id":1316,"pubmed_id":22064855,"title":"YMDB: the Yeast Metabolome Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr916","authors":"Jewison T., Knox C., Neveu V., Djoumbou Y., Guo AC., Lee J., Liu P., Mandal R., Krishnamurthy R., Sinelnikov I., Wilson M., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr916","created_at":"2021-09-30T08:24:47.020Z","updated_at":"2021-09-30T08:24:47.020Z"}],"licence_links":[],"grants":[{"id":8589,"fairsharing_record_id":1700,"organisation_id":3309,"relation":"maintains","created_at":"2021-11-10T10:58:10.222Z","updated_at":"2021-11-10T10:58:10.222Z","grant_id":null,"is_lead":true,"saved_state":{"id":3309,"name":"Wishart Research Group, University of Alberta, Edmonton, Canada","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":504,"fairsharing_record_id":1700,"organisation_id":2799,"relation":"funds","created_at":"2021-09-30T09:24:34.105Z","updated_at":"2021-09-30T09:24:34.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8588,"fairsharing_record_id":1700,"organisation_id":359,"relation":"funds","created_at":"2021-11-10T10:58:10.205Z","updated_at":"2021-11-10T10:58:10.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8590,"fairsharing_record_id":1700,"organisation_id":354,"relation":"funds","created_at":"2021-11-10T10:58:10.294Z","updated_at":"2021-11-10T10:58:10.294Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1715","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:12.039Z","metadata":{"doi":"10.25504/FAIRsharing.c3v6e6","name":"IPD-NHKIR - Non-Human Killer-cell Immunoglobulin-like Receptors","status":"ready","contacts":[{"contact_name":"Jesse Bruijnesteijn","contact_email":"bruijnesteijn@bprc.nl"}],"homepage":"https://www.ebi.ac.uk/ipd/nhkir/","citations":[{"doi":"10.1093/nar/gkz950","pubmed_id":31667505,"publication_id":2534}],"identifier":1715,"description":"The IPD-NHKIR database provides a centralised repository for non-human KIR (NHKIR) sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","abbreviation":"IPD-NHKIR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/support/ipd.php","name":"IPD Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/ipd/nhkir/version/v1200/","name":"Version Reports","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/nhkir/statistics/","name":"Statistics","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010797","name":"re3data:r3d100010797","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003004","name":"SciCrunch:RRID:SCR_003004","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ebi.ac.uk/ipd/submission/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000172","bsg-d000172"],"name":"FAIRsharing record for: IPD-NHKIR - Non-Human Killer-cell Immunoglobulin-like Receptors","abbreviation":"IPD-NHKIR","url":"https://fairsharing.org/10.25504/FAIRsharing.c3v6e6","doi":"10.25504/FAIRsharing.c3v6e6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IPD-NHKIR database provides a centralised repository for non-human KIR (NHKIR) sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Genetics","Immunology"],"domains":["Nucleic acid sequence alignment","Multiple sequence alignment","Deoxyribonucleic acid","Genetic polymorphism","Sequence alignment","Killer-cell Immunoglobulin-like Receptors","Gene","Amino acid sequence","Immune system"],"taxonomies":["Bos","Macaca fascicularis","Macaca mulatta","Macaca nemestrina","Pan troglodytes","Pongo abelii","Pongo pygmaeus"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2524,"pubmed_id":31641782,"title":"The IPD Project: a centralised resource for the study of polymorphism in genes of the immune system.","year":2019,"url":"http://doi.org/10.1007/s00251-019-01133-w","authors":"Maccari G,Robinson J,Hammond JA,Marsh SGE","journal":"Immunogenetics","doi":"10.1007/s00251-019-01133-w","created_at":"2021-09-30T08:27:09.626Z","updated_at":"2021-09-30T08:27:09.626Z"},{"id":2801,"pubmed_id":31781789,"title":"Nomenclature report for killer-cell immunoglobulin-like receptors (KIR) in macaque species: new genes/alleles, renaming recombinant entities and IPD-NHKIR updates.","year":2019,"url":"http://doi.org/10.1007/s00251-019-01135-8","authors":"Bruijnesteijn J,de Groot NG,Otting N,Maccari G,Guethlein LA,Robinson J,Marsh SGE,Walter L,O'Connor DH,Hammond JA,Parham P,Bontrop RE","journal":"Immunogenetics","doi":"10.1007/s00251-019-01135-8","created_at":"2021-09-30T08:27:44.448Z","updated_at":"2021-09-30T08:27:44.448Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1591,"relation":"undefined"},{"licence_name":"IPD Licence","licence_id":450,"licence_url":"http://www.ebi.ac.uk/ipd/licence.html","link_id":1590,"relation":"undefined"}],"grants":[{"id":556,"fairsharing_record_id":1715,"organisation_id":1254,"relation":"maintains","created_at":"2021-09-30T09:24:35.973Z","updated_at":"2021-09-30T09:24:35.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":1254,"name":"HLA Informatics Group, Anthony Nolan Research Institute, London, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":555,"fairsharing_record_id":1715,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:35.941Z","updated_at":"2021-09-30T09:24:35.941Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":558,"fairsharing_record_id":1715,"organisation_id":2776,"relation":"funds","created_at":"2021-09-30T09:24:36.052Z","updated_at":"2021-09-30T09:29:06.317Z","grant_id":95,"is_lead":false,"saved_state":{"id":2776,"name":"The Fifth Framework Infrastructures program, European Commission","grant":"QLRI-CT-200!-01325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":557,"fairsharing_record_id":1715,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:36.015Z","updated_at":"2021-09-30T09:32:27.305Z","grant_id":1627,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"NIH/NCI P01 111412","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1716","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-08T08:08:12.226Z","metadata":{"doi":"10.25504/FAIRsharing.h3tjtr","name":"Comparative Toxicogenomics Database","status":"ready","contacts":[{"contact_name":"Allan Peter Davis","contact_email":"apdavis3@ncsu.edu"}],"homepage":"http://ctdbase.org/","citations":[{"doi":"10.1093/nar/gkac833","pubmed_id":null,"publication_id":4270}],"identifier":1716,"description":"The Comparative Toxicogenomics Database (CTD) advances understanding of the effects of environmental chemicals on human health. Biocurators manually curate chemical-gene, chemical-disease, and gene-disease relationships from the scientific literature. This core data is then internally integrated to generate inferred chemical-gene-disease networks. Additionally, the core data is integrated with external data sets (such as Gene Ontology and pathway annotations) to predict many novel associations between different data types. A unique and powerful feature of CTD is the inferred relationships generated by data integration that helps turn knowledge into discoveries by identifying novel connections between chemicals, genes, diseases, pathways, and GO annotations that might not otherwise be apparent using other biological resources.","abbreviation":"CTD","data_curation":{"url":"http://ctdbase.org/about/dataStatus.go","type":"manual/automated"},"support_links":[{"url":"http://ctdbase.org/help/contact.go","type":"Contact form"},{"url":"http://ctdbase.org/help/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://ctdbase.org/help/","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=KL_MpE8g0Uc","name":"CTD Introduction video","type":"Video"},{"url":"http://ctdbase.org/help/tutorials.jsp","type":"Training documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"http://ctdbase.org/search/","name":"Search"},{"url":"http://ctdbase.org/tools/myGeneVenn.go","name":"MyGeneVenn"},{"url":"http://ctdbase.org/tools/myVenn.go","name":"MyVenn"},{"url":"http://ctdbase.org/tools/vennViewer.go","name":"VennViewer"},{"url":"http://ctdbase.org/tools/batchQuery.go","name":"Batch Query"},{"url":"http://ctdbase.org/tools/analyzer.go","name":"Set Analyzer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011530","name":"re3data:r3d100011530","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006530","name":"SciCrunch:RRID:SCR_006530","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000173","bsg-d000173"],"name":"FAIRsharing record for: Comparative Toxicogenomics Database","abbreviation":"CTD","url":"https://fairsharing.org/10.25504/FAIRsharing.h3tjtr","doi":"10.25504/FAIRsharing.h3tjtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Comparative Toxicogenomics Database (CTD) advances understanding of the effects of environmental chemicals on human health. Biocurators manually curate chemical-gene, chemical-disease, and gene-disease relationships from the scientific literature. This core data is then internally integrated to generate inferred chemical-gene-disease networks. Additionally, the core data is integrated with external data sets (such as Gene Ontology and pathway annotations) to predict many novel associations between different data types. A unique and powerful feature of CTD is the inferred relationships generated by data integration that helps turn knowledge into discoveries by identifying novel connections between chemicals, genes, diseases, pathways, and GO annotations that might not otherwise be apparent using other biological resources.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10860},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11767},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12300},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12618}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Anatomy","Toxicogenomics","Toxicology","Biomedical Science","Comparative Genomics","Systems Biology"],"domains":["Expression data","Gene Ontology enrichment","Annotation","Text mining","Protein interaction","Network model","Chemical entity","Molecular interaction","Adverse Reaction","Drug interaction","Curated information","Phenotype","Disease phenotype","Disease","Protein","Pathway model","Gene","Gene-disease association","Chemical-disease association","Literature curation","Chemical-gene association","Exposure"],"taxonomies":["Bos taurus","Caenorhabditis elegans","Canis lupus","Danio rerio","Drosophila","Eumetazoa","Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Adverse outcome pathways","COVID-19","Systems toxicology"],"countries":["United States"],"publications":[{"id":1280,"pubmed_id":23221299,"title":"Targeted journal curation as a method to improve data currency at the Comparative Toxicogenomics Database","year":2012,"url":"http://doi.org/10.1093/database/bas051","authors":"Davis AP, Johnson RJ, Lennon-Hopkins K, Sciaky D, Rosenstein MC, Wiegers TC, Mattingly CJ","journal":"Database (Oxford)","doi":"10.1093/database/bas051","created_at":"2021-09-30T08:24:42.859Z","updated_at":"2021-09-30T08:24:42.859Z"},{"id":1300,"pubmed_id":22434833,"title":"MEDIC: a practical disease vocabulary used at the Comparative Toxicogenomics Database.","year":2012,"url":"https://academic.oup.com/database/article/doi/10.1093/database/bar065/430135","authors":"Davis AP., Wiegers TC., Rosenstein MC., Mattingly CJ.","journal":"Database (Oxford)","doi":"10.1093/database/bar065","created_at":"2021-09-30T08:24:45.201Z","updated_at":"2021-09-30T08:24:45.201Z"},{"id":1309,"pubmed_id":23093600,"title":"The Comparative Toxicogenomics Database: update 2013","year":2012,"url":"http://doi.org/10.1093/nar/gks994","authors":"Davis AP, Murphy CG, Johnson R, Lay JM, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, King BL, Rosenstein MC, Wiegers TC, Mattingly CJ.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks994","created_at":"2021-09-30T08:24:46.167Z","updated_at":"2021-09-30T08:24:46.167Z"},{"id":2441,"pubmed_id":24288140,"title":"A CTD-Pfizer collaboration: manual curation of 88,000 scientific articles text mined for drug-disease and drug-phenotype interactions","year":2013,"url":"http://doi.org/10.1093/database/bat080","authors":"Davis AP, Wiegers TC, Roberts PM, King BL, Lay JM, Lennon-Hopkins K, Sciaky D, Johnson R, Keating H, Greene N, Hernandez R, McConnell KJ, Enayetallah AE, Mattingly CJ.","journal":"Database (Oxford)","doi":"10.1093/database/bat080","created_at":"2021-09-30T08:26:59.410Z","updated_at":"2021-09-30T08:26:59.410Z"},{"id":2442,"pubmed_id":23613709,"title":"Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the Comparative Toxicogenomics Database","year":2013,"url":"http://doi.org/10.1371/journal.pone.0058201","authors":"Davis AP, Wiegers TC, Johnson RJ, Lay JM, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, Murphy CG, Mattingly CJ.","journal":"PLoS One","doi":"10.1371/journal.pone.0058201","created_at":"2021-09-30T08:26:59.511Z","updated_at":"2021-09-30T08:26:59.511Z"},{"id":2444,"pubmed_id":21933848,"title":"The curation paradigm and application tool used for manual curation of the scientific literature at the Comparative Toxicogenomics Database","year":2011,"url":"http://doi.org/10.1093/database/bar034","authors":"Davis AP, Wiegers TC, Rosenstein MC, Murphy CG, Mattingly CJ.","journal":"Database (Oxford)","doi":"10.1093/database/bar034","created_at":"2021-09-30T08:26:59.737Z","updated_at":"2021-09-30T08:26:59.737Z"},{"id":2459,"pubmed_id":22125387,"title":"DiseaseComps: a metric that discovers similar diseases based upon common toxicogenomic profiles at CTD","year":2011,"url":"http://doi.org/10.6026/97320630007154","authors":"Davis AP, Rosenstein MC, Wiegers TC, Mattingly CJ.","journal":"Bioinformation","doi":"10.6026/97320630007154","created_at":"2021-09-30T08:27:01.627Z","updated_at":"2021-09-30T08:27:01.627Z"},{"id":2460,"pubmed_id":20198196,"title":"GeneComps and ChemComps: a new CTD metric to identify genes and chemicals with shared toxicogenomic profiles","year":2009,"url":"http://doi.org/10.6026/97320630004173","authors":"Davis AP, Murphy CG, Saraceni-Richards CA, Rosenstein MC, Wiegers TC, Hampton TH, Mattingly CJ.","journal":"Bioinformation","doi":"10.6026/97320630004173","created_at":"2021-09-30T08:27:01.736Z","updated_at":"2021-09-30T08:27:01.736Z"},{"id":2483,"pubmed_id":30247620,"title":"The Comparative Toxicogenomics Database: update 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky868","authors":"Davis AP,Grondin CJ,Johnson RJ,Sciaky D,McMorran R,Wiegers J,Wiegers TC,Mattingly CJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky868","created_at":"2021-09-30T08:27:04.491Z","updated_at":"2021-09-30T11:29:37.746Z"},{"id":2831,"pubmed_id":18845002,"title":"The Comparative Toxicogenomics Database facilitates identification and understanding of chemical-gene-disease associations: arsenic as a case study","year":2008,"url":"http://doi.org/10.1186/1755-8794-1-48","authors":"Davis AP, Murphy CG, Rosenstein MC, Wiegers TC, Mattingly CJ","journal":"BMC Med Genomics","doi":"10.1186/1755-8794-1-48","created_at":"2021-09-30T08:27:48.232Z","updated_at":"2021-09-30T08:27:48.232Z"},{"id":2846,"pubmed_id":27651457,"title":"The Comparative Toxicogenomics Database: update 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw838","authors":"Davis AP,Grondin CJ,Johnson RJ,Sciaky D,King BL,McMorran R,Wiegers J,Wiegers TC,Mattingly CJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw838","created_at":"2021-09-30T08:27:50.154Z","updated_at":"2021-09-30T11:29:47.229Z"},{"id":2848,"pubmed_id":27170236,"title":"Advancing Exposure Science through Chemical Data Curation and Integration in the Comparative Toxicogenomics Database.","year":2016,"url":"http://doi.org/10.1289/EHP174","authors":"Grondin CJ,Davis AP,Wiegers TC,King BL,Wiegers JA,Reif DM,Hoppin JA,Mattingly CJ","journal":"Environ Health Perspect","doi":"10.1289/EHP174","created_at":"2021-09-30T08:27:50.374Z","updated_at":"2021-09-30T08:27:50.374Z"},{"id":2854,"pubmed_id":27171405,"title":"Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database.","year":2016,"url":"http://doi.org/10.1371/journal.pone.0155530","authors":"Davis AP,Wiegers TC,King BL,Wiegers J,Grondin CJ,Sciaky D,Johnson RJ,Mattingly CJ","journal":"PLoS One","doi":"10.1371/journal.pone.0155530","created_at":"2021-09-30T08:27:51.074Z","updated_at":"2021-09-30T08:27:51.074Z"},{"id":2858,"pubmed_id":25326323,"title":"The Comparative Toxicogenomics Database's 10th year anniversary: update 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku935","authors":"Davis AP,Grondin CJ,Lennon-Hopkins K,Saraceni-Richards C,Sciaky D,King BL,Wiegers TC,Mattingly CJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku935","created_at":"2021-09-30T08:27:51.571Z","updated_at":"2021-09-30T11:29:47.596Z"},{"id":3019,"pubmed_id":29846728,"title":"Chemical-Induced Phenotypes at CTD Help Inform the Predisease State and Construct Adverse Outcome Pathways.","year":2018,"url":"http://doi.org/10.1093/toxsci/kfy131","authors":"Davis AP,Wiegers TC,Wiegers J,Johnson RJ,Sciaky D,Grondin CJ,Mattingly CJ","journal":"Toxicol Sci","doi":"10.1093/toxsci/kfy131","created_at":"2021-09-30T08:28:12.200Z","updated_at":"2021-09-30T08:28:12.200Z"},{"id":3020,"pubmed_id":29351546,"title":"Accessing an Expanded Exposure Science Module at the Comparative Toxicogenomics Database.","year":2018,"url":"http://doi.org/10.1289/EHP2873","authors":"Grondin CJ,Davis AP,Wiegers TC,Wiegers JA,Mattingly CJ","journal":"Environ Health Perspect","doi":"10.1289/EHP2873","created_at":"2021-09-30T08:28:12.317Z","updated_at":"2021-09-30T08:28:12.317Z"},{"id":3021,"pubmed_id":32663284,"title":"Leveraging the Comparative Toxicogenomics Database to fill in knowledge gaps for environmental health: a test case for air pollution-induced cardiovascular disease","year":2020,"url":"http://doi.org/10.1093/toxsci/kfaa113","authors":"Davis AP., Wiegers TC., Grondin CJ., Johnson RJ., Sciaky D., Wiegers J., Mattingly CJ.","journal":"Toxicological Sciences","doi":"https://doi.org/10.1093/toxsci/kfaa113","created_at":"2021-09-30T08:28:12.429Z","updated_at":"2021-09-30T08:28:12.429Z"},{"id":4270,"pubmed_id":null,"title":"Comparative Toxicogenomics Database (CTD): update 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac833","authors":"Davis, Allan Peter; Wiegers, Thomas C; Johnson, Robin J; Sciaky, Daniela; Wiegers, Jolene; Mattingly, Carolyn J; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac833","created_at":"2024-05-01T14:56:56.536Z","updated_at":"2024-05-01T14:56:56.536Z"}],"licence_links":[{"licence_name":"Comparative Toxicogenomics Database Terms of Use","licence_id":1107,"licence_url":"https://ctdbase.org/about/legal.jsp","link_id":3617,"relation":"applies_to_content"}],"grants":[{"id":559,"fairsharing_record_id":1716,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:24:36.090Z","updated_at":"2021-09-30T09:29:33.244Z","grant_id":297,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"ES019604","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8268,"fairsharing_record_id":1716,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:31:50.724Z","updated_at":"2021-09-30T09:31:50.780Z","grant_id":1353,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"ES014065","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9262,"fairsharing_record_id":1716,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.270Z","updated_at":"2022-04-11T12:07:26.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11756,"fairsharing_record_id":1716,"organisation_id":4358,"relation":"maintains","created_at":"2024-05-01T14:59:01.248Z","updated_at":"2024-05-01T14:59:01.248Z","grant_id":null,"is_lead":true,"saved_state":{"id":4358,"name":"North Carolina State University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1717","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T09:10:51.114Z","metadata":{"doi":"10.25504/FAIRsharing.pfes4f","name":"Protein Protein Interaction Inhibition Database","status":"ready","contacts":[{"contact_name":"Philippe Roche","contact_email":"philippe.roche@inserm.fr","contact_orcid":"0000-0002-5580-0588"},{"contact_name":"Marie-jeanne Basse","contact_email":"marie-jeanne.basse@inserm.fr","contact_orcid":null}],"homepage":"https://2p2idb.marseille.inserm.fr/","citations":[],"identifier":1717,"description":"The Protein Protein Interaction Inhibition Database (2P2Idb) is a hand-curated structural database dedicated to the modulation of protein-protein interactions (PPIs). It includes all interactions for which both the protein-protein and protein-modulator complexes have been structurally characterized by X-ray or NMR. The latest version (2024-04-08) of 2P2Idb contains 55 Protein-Protein complexes, 2060 Protein-Ligand complexes and 1769 small molecule PPI inhibitors.. Only inhibitors found at the interface (orthosteric modulators) have been considered. Please note that this database is available for download, but does not have an interactive online search option.\n\n","abbreviation":"2P2Idb","data_curation":{"url":"https://doi.org/10.1093/database/baw007","type":"manual"},"support_links":[],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://2p2idb.marseille.inserm.fr/2p2i_inspector.html","name":"2P2I inspector v2.0"},{"url":"https://chemodots.marseille.inserm.fr/","name":"ChemoDOTS"}],"data_access_condition":{"type":"open","notes":"Download only"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000174","bsg-d000174"],"name":"FAIRsharing record for: Protein Protein Interaction Inhibition Database","abbreviation":"2P2Idb","url":"https://fairsharing.org/10.25504/FAIRsharing.pfes4f","doi":"10.25504/FAIRsharing.pfes4f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Protein Interaction Inhibition Database (2P2Idb) is a hand-curated structural database dedicated to the modulation of protein-protein interactions (PPIs). It includes all interactions for which both the protein-protein and protein-modulator complexes have been structurally characterized by X-ray or NMR. The latest version (2024-04-08) of 2P2Idb contains 55 Protein-Protein complexes, 2060 Protein-Ligand complexes and 1769 small molecule PPI inhibitors.. Only inhibitors found at the interface (orthosteric modulators) have been considered. Please note that this database is available for download, but does not have an interactive online search option.\n\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Drug Discovery","Cheminformatics","Epigenetics","Structural Biology","Computational Biology","Life Science","Computer Science"],"domains":["Protein structure","Protein interaction","Structure"],"taxonomies":["All"],"user_defined_tags":["Protein-protein interaction modulators"],"countries":["France"],"publications":[{"id":148,"pubmed_id":23203891,"title":"2P2Idb: a structural database dedicated to orthosteric modulation of protein-protein interactions.","year":2012,"url":"http://doi.org/10.1093/nar/gks1002","authors":"Basse MJ,Betzi S,Bourgeas R,Bouzidi S,Chetrit B,Hamon V,Morelli X,Roche P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1002","created_at":"2021-09-30T08:22:36.088Z","updated_at":"2021-09-30T11:28:43.293Z"},{"id":1157,"pubmed_id":20231898,"title":"Atomic analysis of protein-protein interfaces with known inhibitors: the 2P2I database.","year":2010,"url":"http://doi.org/10.1371/journal.pone.0009598","authors":"Bourgeas R,Basse MJ,Morelli X,Roche P","journal":"PLoS One","doi":"10.1371/journal.pone.0009598","created_at":"2021-09-30T08:24:28.665Z","updated_at":"2021-09-30T08:24:28.665Z"},{"id":3369,"pubmed_id":null,"title":"2P2Idb v2: update of a structural database dedicated to orthosteric modulation of protein–protein interactions","year":2016,"url":"http://dx.doi.org/10.1093/database/baw007","authors":"Basse, Marie-Jeanne; Betzi, Stéphane; Morelli, Xavier; Roche, Philippe; ","journal":"Database","doi":"10.1093/database/baw007","created_at":"2022-05-19T17:53:01.700Z","updated_at":"2022-05-19T17:53:01.700Z"},{"id":4265,"pubmed_id":26980515,"title":"2P2Idb v2: update of a structural database dedicated to orthosteric modulation of protein-protein interactions","year":2016,"url":"https://academic.oup.com/database/article/doi/10.1093/database/baw007/2630150","authors":"Marie-Jeanne Basse, Stéphane Betzi, Xavier Morelli, Philippe Roche ","journal":"Database (Oxford)","doi":"10.1093/database/baw007","created_at":"2024-04-23T15:21:35.913Z","updated_at":"2024-04-23T15:21:35.913Z"}],"licence_links":[],"grants":[{"id":563,"fairsharing_record_id":1717,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:36.262Z","updated_at":"2021-09-30T09:28:57.267Z","grant_id":29,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-11-BS07-019-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":562,"fairsharing_record_id":1717,"organisation_id":1676,"relation":"maintains","created_at":"2021-09-30T09:24:36.211Z","updated_at":"2022-05-19T17:53:29.967Z","grant_id":null,"is_lead":true,"saved_state":{"id":1676,"name":"Laboratory of Integrative Structural \u0026 Chemical Biology","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZHc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f0201e40d70cd0e84b62431e1b83fdb52aaabf57/2p2.png?disposition=inline","exhaustive_licences":false}},{"id":"1701","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:59:51.143Z","metadata":{"doi":"10.25504/FAIRsharing.4dfs3p","name":"Whole-Cell Knowledge Base","status":"deprecated","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"http://www.wholecellkb.org","citations":[],"identifier":1701,"description":"WholeCellKB is a collection of open-access model organism databases specifically designed to enable whole-cell models. Currently, WholeCellKB contains a database of Mycoplasma genitalium, a Gram-positive bacterium and common human pathogen. The M. genitalium database is the most comprehensive description of any single organism to date, and was used to develop the first whole-cell computational model. The M. genitalium database was curated from over 900 primary research articles, reviews, books, and databases. The M. genitalium database is extensively cross-referenced to external resources including BioCyc, KEGG, and UniProt. WholeCellKB is also an open-source web-based software program for constructing model organism databases. The WholeCellKB software provides an extensive and fully customizable data model that fully describes individual species including the structure and function of each gene, protein, reaction, and pathway. WholeCellKB is freely accessible via a web-based user interface as well as via a RESTful web service.","abbreviation":"WholeCellKB","data_curation":{"url":"http://www.wholecellkb.org/about","type":"manual","notes":"WholeCellKB database was curated from over 900 primary research articles, reviews, books, and databases over four years by a team of three researchers at Stanford University."},"support_links":[{"url":"http://www.wholecellkb.org/tutorial/Mgenitalium","type":"Help documentation"},{"url":"wholecell@lists.stanford.edu","type":"Mailing list"},{"url":"http://www.wholecellkb.org/about/Mgenitalium","type":"Help documentation"},{"url":"https://twitter.com/jonrkarr","type":"Twitter"}],"year_creation":2013,"data_versioning":"yes","deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"url":"https://www.wholecellkb.org/","type":"open","notes":"WholeCellKB is a collection of free, open-source model organism database"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000158","bsg-d000158"],"name":"FAIRsharing record for: Whole-Cell Knowledge Base","abbreviation":"WholeCellKB","url":"https://fairsharing.org/10.25504/FAIRsharing.4dfs3p","doi":"10.25504/FAIRsharing.4dfs3p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WholeCellKB is a collection of open-access model organism databases specifically designed to enable whole-cell models. Currently, WholeCellKB contains a database of Mycoplasma genitalium, a Gram-positive bacterium and common human pathogen. The M. genitalium database is the most comprehensive description of any single organism to date, and was used to develop the first whole-cell computational model. The M. genitalium database was curated from over 900 primary research articles, reviews, books, and databases. The M. genitalium database is extensively cross-referenced to external resources including BioCyc, KEGG, and UniProt. WholeCellKB is also an open-source web-based software program for constructing model organism databases. The WholeCellKB software provides an extensive and fully customizable data model that fully describes individual species including the structure and function of each gene, protein, reaction, and pathway. WholeCellKB is freely accessible via a web-based user interface as well as via a RESTful web service.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12614}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Systems Biology"],"domains":["Curated information"],"taxonomies":["Mycoplasma genitalium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":806,"pubmed_id":23175606,"title":"WholeCellKB: model organism databases for comprehensive whole-cell models.","year":2012,"url":"http://doi.org/10.1093/nar/gks1108","authors":"Karr JR,Sanghvi JC,Macklin DN,Arora A,Covert MW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1108","created_at":"2021-09-30T08:23:48.893Z","updated_at":"2021-09-30T11:28:51.778Z"}],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":159,"relation":"undefined"}],"grants":[{"id":505,"fairsharing_record_id":1701,"organisation_id":1627,"relation":"maintains","created_at":"2021-09-30T09:24:34.146Z","updated_at":"2021-09-30T09:24:34.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":1627,"name":"Karr Lab, Institute for Multiscale Biology \u0026 Genomics, New York, NY, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":506,"fairsharing_record_id":1701,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:34.184Z","updated_at":"2021-09-30T09:29:01.649Z","grant_id":61,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"1P50GM107615","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7877,"fairsharing_record_id":1701,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:20.107Z","updated_at":"2021-09-30T09:29:20.197Z","grant_id":200,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"5DP1LM01150-05","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1702","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:19:12.075Z","metadata":{"doi":"10.25504/FAIRsharing.qkrmth","name":"RhesusBase","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"rhesusbase@pku.edu.cn"}],"homepage":"https://rhesusbase.com/","citations":[],"identifier":1702,"description":"RhesusBase was developed to refine genome-wide macaque gene structures, to integrate macaque functional annotations, and to provide a 'one-stop' knowledgebase for the primate research community.","abbreviation":"RhesusBase","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://rhesusbase.com/help/FAQ.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"https://rhesusbase.com/help/document/genePage.jsp","name":"Gene Page Manual","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://browser.rhesusbase.com/cgi-bin/hgBlat?command=start","name":"Blast"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgPcr?hgsid=1864619","name":"In-Silico PCR"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgTables?hgsid=1864619","name":"Table Browser"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgLiftOver?hgsid=1864619","name":"LiftOver"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgIntegrator?hgsid=1864619","name":"Data Integrtor"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgVai?hgsid=1864619","name":"Variant Annotation Integrator"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgGenome?hgsid=1864619","name":"Genome Graphs"},{"url":"https://browser.rhesusbase.com/util.html","name":"Other Tolls"}],"deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000159","bsg-d000159"],"name":"FAIRsharing record for: RhesusBase","abbreviation":"RhesusBase","url":"https://fairsharing.org/10.25504/FAIRsharing.qkrmth","doi":"10.25504/FAIRsharing.qkrmth","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RhesusBase was developed to refine genome-wide macaque gene structures, to integrate macaque functional annotations, and to provide a 'one-stop' knowledgebase for the primate research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene model annotation","Pseudogene","Gene"],"taxonomies":["Homo sapiens","Mus musculus","Rhesus macaques"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1298,"pubmed_id":26882984,"title":"RhesusBase PopGateway: Genome-Wide Population Genetics Atlas in Rhesus Macaque.","year":2016,"url":"http://doi.org/10.1093/molbev/msw025","authors":"Zhong X,Peng J,Shen QS,Chen JY,Gao H,Luan X,Yan S,Huang X,Zhang SJ,Xu L,Zhang X,Tan BC,Li CY","journal":"Mol Biol Evol","doi":"10.1093/molbev/msw025","created_at":"2021-09-30T08:24:44.935Z","updated_at":"2021-09-30T08:24:44.935Z"},{"id":1299,"pubmed_id":24577841,"title":"Evolutionary interrogation of human biology in well-annotated genomic framework of rhesus macaque.","year":2014,"url":"http://doi.org/10.1093/molbev/msu084","authors":"Zhang SJ,Liu CJ,Yu P,Zhong X,Chen JY,Yang X,Peng J,Yan S,Wang C,Zhu X,Xiong J,Zhang YE,Tan BC,Li CY","journal":"Mol Biol Evol","doi":"10.1093/molbev/msu084","created_at":"2021-09-30T08:24:45.043Z","updated_at":"2021-09-30T08:24:45.043Z"},{"id":1307,"pubmed_id":22965133,"title":"RhesusBase: a knowledgebase for the monkey research community.","year":2012,"url":"http://doi.org/10.1093/nar/gks835","authors":"Zhang SJ,Liu CJ,Shi M,Kong L,Chen JY,Zhou WZ,Zhu X,Yu P,Wang J,Yang X,Hou N,Ye Z,Zhang R,Xiao R,Zhang X,Li CY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks835","created_at":"2021-09-30T08:24:45.957Z","updated_at":"2021-09-30T11:29:05.760Z"}],"licence_links":[],"grants":[{"id":8484,"fairsharing_record_id":1702,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:51.185Z","updated_at":"2021-09-30T09:32:51.237Z","grant_id":1806,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31522032","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":509,"fairsharing_record_id":1702,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:34.265Z","updated_at":"2021-09-30T09:30:14.014Z","grant_id":612,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2012CB518004","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":507,"fairsharing_record_id":1702,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:34.216Z","updated_at":"2021-09-30T09:31:45.436Z","grant_id":1313,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31471240","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8294,"fairsharing_record_id":1702,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:56.899Z","updated_at":"2021-09-30T09:31:56.949Z","grant_id":1400,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2013CB531202","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1703","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:27.948Z","metadata":{"doi":"10.25504/FAIRsharing.bw1e90","name":"Human Ageing Genomic Resources","status":"ready","contacts":[{"contact_name":"João Pedro de Magalhães","contact_email":"jp@senescence.info"}],"homepage":"https://genomics.senescence.info/","citations":[],"identifier":1703,"description":"The Human Ageing Genomic Resources (HAGR) is a collection of databases and tools for the biology and genetics of ageing. HAGR features several databases with high-quality, manually-curated data: 1) GenAge, a database of genes associated with ageing in humans and model organisms; 2) AnAge, an extensive collection of longevity records and complementary traits for over 4,000 vertebrate species; and 3) GenDR, a database containing both gene mutations that interfere with dietary restriction-mediated lifespan extension and consistent gene expression changes induced by dietary restriction.","abbreviation":"HAGR","data_curation":{"url":"https://genomics.senescence.info/about.html","type":"manual"},"support_links":[{"url":"aging@iv.ac.uk","type":"Support email"},{"url":"http://genomics.senescence.info/help.html","type":"Help documentation"},{"url":"https://twitter.com/AgingBiology","type":"Twitter"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"http://genomics.senescence.info/software/perl.html","name":"Ageing Research Computational Tools 0.9"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011871","name":"re3data:r3d100011871","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007700","name":"SciCrunch:RRID:SCR_007700","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000160","bsg-d000160"],"name":"FAIRsharing record for: Human Ageing Genomic Resources","abbreviation":"HAGR","url":"https://fairsharing.org/10.25504/FAIRsharing.bw1e90","doi":"10.25504/FAIRsharing.bw1e90","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Ageing Genomic Resources (HAGR) is a collection of databases and tools for the biology and genetics of ageing. HAGR features several databases with high-quality, manually-curated data: 1) GenAge, a database of genes associated with ageing in humans and model organisms; 2) AnAge, an extensive collection of longevity records and complementary traits for over 4,000 vertebrate species; and 3) GenDR, a database containing both gene mutations that interfere with dietary restriction-mediated lifespan extension and consistent gene expression changes induced by dietary restriction.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Geriatric Medicine","Genomics","Biomedical Science"],"domains":["Model organism","Aging","Phenotype","Disease"],"taxonomies":["Caenorhabditis briggsae","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Podospora anserina","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1924,"pubmed_id":18986374,"title":"The Human Ageing Genomic Resources: online databases and tools for biogerontologists.","year":2008,"url":"http://doi.org/10.1111/j.1474-9726.2008.00442.x","authors":"de Magalhães JP., Budovsky A., Lehmann G., Costa J., Li Y., Fraifeld V., Church GM.,","journal":"Aging Cell","doi":"10.1111/j.1474-9726.2008.00442.x","created_at":"2021-09-30T08:25:56.524Z","updated_at":"2021-09-30T08:25:56.524Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":191,"relation":"undefined"},{"licence_name":"HAGR Disclaimer, Credits and Copyright","licence_id":373,"licence_url":"http://genomics.senescence.info/legal.html","link_id":161,"relation":"undefined"}],"grants":[{"id":510,"fairsharing_record_id":1703,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:34.296Z","updated_at":"2021-09-30T09:30:07.888Z","grant_id":564,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"ME050495MES","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":511,"fairsharing_record_id":1703,"organisation_id":1420,"relation":"maintains","created_at":"2021-09-30T09:24:34.338Z","updated_at":"2021-09-30T09:24:34.338Z","grant_id":null,"is_lead":false,"saved_state":{"id":1420,"name":"Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1704","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:15.459Z","metadata":{"doi":"10.25504/FAIRsharing.96xqbf","name":"PTMcode","status":"ready","contacts":[{"contact_name":"Pablo Minguez","contact_email":"pablominguez@gmail.com","contact_orcid":"0000-0003-4099-9421"}],"homepage":"http://ptmcode.embl.de","citations":[],"identifier":1704,"description":"PTMCode is a resource of known and predicted functional associations between protein post-translational modifications (PTMs) within and between interacting proteins.","abbreviation":"PTMcode","data_curation":{"url":"http://ptmcode.embl.de/help.cgi","type":"automated"},"support_links":[{"url":"letunic@biobyte.de","type":"Support email"},{"url":"http://ptmcode.embl.de/help.cgi","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000161","bsg-d000161"],"name":"FAIRsharing record for: PTMcode","abbreviation":"PTMcode","url":"https://fairsharing.org/10.25504/FAIRsharing.96xqbf","doi":"10.25504/FAIRsharing.96xqbf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PTMCode is a resource of known and predicted functional associations between protein post-translational modifications (PTMs) within and between interacting proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Post-translational protein modification","Functional association"],"taxonomies":["Aedes aegypti","Anopheles gambiae","Arabidopsis thaliana","Bos taurus","Caenorhabditis elegans","Canis familiaris","Drosophila melanogaster","Felis catus","Gallus gallus","Homo sapiens","Macaca mulatta","Monodelphis domestica","Mus musculus","Pan troglodytes","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Xenopus tropicalis"],"user_defined_tags":["Functional associations between PTMs"],"countries":["Germany"],"publications":[{"id":695,"pubmed_id":25361965,"title":"PTMcode v2: a resource for functional associations of post- translational modifications within and between proteins.","year":2014,"url":"http://doi.org/10.1093/nar/gku1081","authors":"Pablo Minguez, Ivica Letunic, Luca Parca, Luz Garcia-Alonso, Joaquin Dopazo, Jaime Huerta-Cepas and Peer Bork","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku1081","created_at":"2021-09-30T08:23:36.595Z","updated_at":"2021-09-30T08:23:36.595Z"},{"id":1925,"pubmed_id":23193284,"title":"PTMcode: a database of known and predicted functional associations between post-translational modifications in proteins.","year":2012,"url":"http://doi.org/10.1093/nar/gks1230","authors":"Minguez P., Letunic I., Parca L., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1230","created_at":"2021-09-30T08:25:56.631Z","updated_at":"2021-09-30T08:25:56.631Z"},{"id":1926,"pubmed_id":22806145,"title":"Deciphering a global network of functionally associated post-translational modifications.","year":2012,"url":"http://doi.org/10.1038/msb.2012.31","authors":"Minguez P., Parca L., Diella F., Mende DR., Kumar R., Helmer-Citterich M., Gavin AC., van Noort V., Bork P.,","journal":"Mol. Syst. Biol.","doi":"10.1038/msb.2012.31","created_at":"2021-09-30T08:25:56.739Z","updated_at":"2021-09-30T08:25:56.739Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":167,"relation":"undefined"}],"grants":[{"id":512,"fairsharing_record_id":1704,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:34.379Z","updated_at":"2021-09-30T09:24:34.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1707","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:36.881Z","metadata":{"doi":"10.25504/FAIRsharing.f55jfq","name":"GenomeRNAi","status":"ready","contacts":[{"contact_name":"Ulrike Hardeland","contact_email":"contact@genomernai.org"}],"homepage":"http://www.genomernai.org","citations":[],"identifier":1707,"description":"The GenomeRNAi database collects RNAi phenotypes recorded in the literature for Homo sapiens and Drosophila melanogaster, as well as details on RNAi reagents. The data is well integrated with information from other resources, allowing comparison within and across species. Download files are provided.","abbreviation":"GenomeRNAi","data_curation":{"url":"http://www.genomernai.org/Index","type":"manual","notes":"RNAi screening data is extracted from the literature by manual curation."},"support_links":[{"url":"contact@genomernai.org","name":"contact@genomernai.org","type":"Support email"},{"url":"http://rnai-screening-wiki.dkfz.de/signaling/wiki/display/genomernai/Home","type":"Help documentation"},{"url":"https://twitter.com/genomernai","type":"Twitter"}],"year_creation":2006,"data_versioning":"no","associated_tools":[{"url":"http://www.e-talen.org/E-TALEN/","name":"E-TALEN"},{"url":"http://www.dkfz.de/signaling/e-rnai3/","name":"E-RNAi"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011089","name":"re3data:r3d100011089","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013088","name":"SciCrunch:RRID:SCR_013088","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"http://www.genomernai.org/About#","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000164","bsg-d000164"],"name":"FAIRsharing record for: GenomeRNAi","abbreviation":"GenomeRNAi","url":"https://fairsharing.org/10.25504/FAIRsharing.f55jfq","doi":"10.25504/FAIRsharing.f55jfq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GenomeRNAi database collects RNAi phenotypes recorded in the literature for Homo sapiens and Drosophila melanogaster, as well as details on RNAi reagents. The data is well integrated with information from other resources, allowing comparison within and across species. Download files are provided.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10931}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["RNA interference","Literature curation"],"taxonomies":["Drosophila melanogaster","Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":223,"pubmed_id":17135194,"title":"GenomeRNAi: a database for cell-based RNAi phenotypes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl906","authors":"Horn T., Arziman Z., Berger J., Boutros M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl906","created_at":"2021-09-30T08:22:44.157Z","updated_at":"2021-09-30T08:22:44.157Z"},{"id":226,"pubmed_id":19910367,"title":"GenomeRNAi: a database for cell-based RNAi phenotypes. 2009 update.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1038","authors":"Gilsdorf M., Horn T., Arziman Z., Pelz O., Kiner E., Boutros M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1038","created_at":"2021-09-30T08:22:44.431Z","updated_at":"2021-09-30T08:22:44.431Z"},{"id":1143,"pubmed_id":23193271,"title":"GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update.","year":2012,"url":"http://doi.org/10.1093/nar/gks1170","authors":"Schmidt EE., Pelz O., Buhlmann S., Kerr G., Horn T., Boutros M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1170","created_at":"2021-09-30T08:24:27.032Z","updated_at":"2021-09-30T08:24:27.032Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1132,"relation":"undefined"}],"grants":[{"id":8874,"fairsharing_record_id":1707,"organisation_id":2785,"relation":"funds","created_at":"2022-02-10T16:21:39.402Z","updated_at":"2022-02-10T16:21:39.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":2785,"name":"The Helmholtz Association, Berlin, germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":525,"fairsharing_record_id":1707,"organisation_id":775,"relation":"maintains","created_at":"2021-09-30T09:24:34.838Z","updated_at":"2021-09-30T09:24:34.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":775,"name":"Division Signaling and Functional Genomics, German Cancer Research Center (DKFZ) and University of Heidelberg, Heidelberg, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":524,"fairsharing_record_id":1707,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:24:34.808Z","updated_at":"2021-09-30T09:24:34.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9234,"fairsharing_record_id":1707,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.223Z","updated_at":"2022-04-11T12:07:24.241Z","grant_id":827,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"HEALTH-F2-2008-201666","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1708","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:49.657Z","metadata":{"doi":"10.25504/FAIRsharing.6ktmmc","name":"Dfam","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"help@dfam.org"}],"homepage":"http://dfam.org/","citations":[{"doi":"10.1093/nar/gkv1272","pubmed_id":26612867,"publication_id":1909}],"identifier":1708,"description":"The Dfam database is a open collection of DNA Transposable Element sequence alignments, hidden Markov Models (HMMs), consensus sequences, and genome annotations. Dfam represents a collection of multiple sequence alignments, each containing a set of representative members of a specific transposable element family. These alignments (seed alignments) are used to generate HMMs and consensus sequences for each family. The Dfam website gives information about each family, and provides genome annotations for a collection of core genomes.","abbreviation":"Dfam","data_curation":{"url":"https://dfam.org/help/family","type":"manual"},"support_links":[{"url":"https://www.dfam.org/help/family","name":"Help Pages","type":"Help documentation"},{"url":"https://www.dfam.org/about","name":"About","type":"Help documentation"},{"url":"https://www.dfam.org/classification","name":"Dfam Classification","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000165","bsg-d000165"],"name":"FAIRsharing record for: Dfam","abbreviation":"Dfam","url":"https://fairsharing.org/10.25504/FAIRsharing.6ktmmc","doi":"10.25504/FAIRsharing.6ktmmc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dfam database is a open collection of DNA Transposable Element sequence alignments, hidden Markov Models (HMMs), consensus sequences, and genome annotations. Dfam represents a collection of multiple sequence alignments, each containing a set of representative members of a specific transposable element family. These alignments (seed alignments) are used to generate HMMs and consensus sequences for each family. The Dfam website gives information about each family, and provides genome annotations for a collection of core genomes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12616}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Hidden Markov model","DNA sequence data","Annotation","Genome annotation","Multiple sequence alignment","Transposable element","Genome"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1909,"pubmed_id":26612867,"title":"The Dfam database of repetitive DNA families.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1272","authors":"Hubley R,Finn RD,Clements J,Eddy SR,Jones TA,Bao W,Smit AF,Wheeler TJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1272","created_at":"2021-09-30T08:25:54.670Z","updated_at":"2021-09-30T11:29:23.035Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1578,"relation":"undefined"}],"grants":[{"id":526,"fairsharing_record_id":1708,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:24:34.880Z","updated_at":"2021-09-30T09:24:34.880Z","grant_id":null,"is_lead":true,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":528,"fairsharing_record_id":1708,"organisation_id":3100,"relation":"maintains","created_at":"2021-09-30T09:24:34.956Z","updated_at":"2021-09-30T09:24:34.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":3100,"name":"University of Montana, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":527,"fairsharing_record_id":1708,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:34.918Z","updated_at":"2021-09-30T09:24:34.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":530,"fairsharing_record_id":1708,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:24:35.025Z","updated_at":"2021-09-30T09:24:35.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":531,"fairsharing_record_id":1708,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:35.072Z","updated_at":"2021-09-30T09:29:40.229Z","grant_id":352,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41LM006252","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9242,"fairsharing_record_id":1708,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.804Z","updated_at":"2022-04-11T12:07:24.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1711","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-02T07:48:32.573Z","metadata":{"doi":"10.25504/FAIRsharing.kkdpxe","name":"MetaboLights","status":"ready","contacts":[{"contact_name":"Claire O'Donovan","contact_email":"odonovan@ebi.ac.uk","contact_orcid":"0000-0001-8051-7429"}],"homepage":"https://www.ebi.ac.uk/metabolights/","citations":[{"doi":"10.1093/nar/gkz1019","pubmed_id":31691833,"publication_id":2771}],"identifier":1711,"description":"MetaboLights is a database for metabolomics studies, their raw experimental data and associated metadata. The database is cross-species and cross-technique and it covers metabolite structures and their reference spectra as well as their biological roles and locations. MetaboLights is the recommended metabolomics repository for a number of leading journals and ELIXIR, the European infrastructure for life science information.","abbreviation":"MTBLS","data_curation":{"url":"https://www.ebi.ac.uk/metabolights/editor/guides/Quick_start_Guide/Quick_start_overview","type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/metabolights/contact","name":"Feedback","type":"Contact form"},{"url":"metabolights-help@ebi.ac.uk","name":"MetaboLights helpdesk","type":"Support email"},{"url":"http://www.ebi.ac.uk/metabolights/help","name":"Help Pages","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/metabolights-quick-tour","name":"MetaboLights: Quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/topic/metabolomics","name":"Training","type":"Training documentation"},{"url":"https://twitter.com/MetaboLights","name":"@MetaboLights","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"ftp://ftp.ebi.ac.uk/pub/databases/metabolights/submissionTool/ISAcreatorMetaboLights.zip","name":"ISAcreator-MetaboLights Bundle 1.7"},{"url":"http://phenomenal-h2020.eu/home/","name":"PhenoMeNal"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011556","name":"re3data:r3d100011556","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014663","name":"SciCrunch:RRID:SCR_014663","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/metabolights/editor/guides/Quick_start_Guide/Quick_start_overview","type":"controlled","notes":"Deposition under login and passing successfull curation"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000168","bsg-d000168"],"name":"FAIRsharing record for: MetaboLights","abbreviation":"MTBLS","url":"https://fairsharing.org/10.25504/FAIRsharing.kkdpxe","doi":"10.25504/FAIRsharing.kkdpxe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaboLights is a database for metabolomics studies, their raw experimental data and associated metadata. The database is cross-species and cross-technique and it covers metabolite structures and their reference spectra as well as their biological roles and locations. MetaboLights is the recommended metabolomics repository for a number of leading journals and ELIXIR, the European infrastructure for life science information.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10923},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10932},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11043},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11326},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11832},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12617}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metabolomics"],"domains":["Chemical formula","Mass spectrum","Chemical structure","Biological sample annotation","Computational biological predictions","Validation","Lipid","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Publication","Biological sample","Assay","Protocol","Biocuration"],"taxonomies":["All"],"user_defined_tags":["Fluxomics"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":509,"pubmed_id":27010336,"title":"MetaboLights: An Open-Access Database Repository for Metabolomics Data.","year":2016,"url":"http://doi.org/10.1002/0471250953.bi1413s53","authors":"Kale NS,Haug K,Conesa P,Jayseelan K,Moreno P,Rocca-Serra P,Nainala VC,Spicer RA,Williams M,Li X,Salek RM,Griffin JL,Steinbeck C","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi1413s53","created_at":"2021-09-30T08:23:15.559Z","updated_at":"2021-09-30T08:23:15.559Z"},{"id":652,"pubmed_id":null,"title":"Dissemination of metabolomics results: role of MetaboLights and COSMOS.","year":2013,"url":"http://doi.org/10.1186/2047-217X-2-8","authors":"Salek RM, Haug K, Steinbeck C","journal":"GigaScience","doi":"10.1186/2047-217X-2-8","created_at":"2021-09-30T08:23:31.935Z","updated_at":"2021-09-30T08:23:31.935Z"},{"id":1973,"pubmed_id":23109552,"title":"MetaboLights--an open-access general-purpose repository for metabolomics studies and associated meta-data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1004","authors":"Haug K, Salek RM, Conesa P, Hastings J, de Matos P, Rijnbeek M, Mahendraker T, Williams M, Neumann S, Rocca-Serra P, Maguire E, González-Beltrán A, Sansone SA, Griffin JL, Steinbeck C.","journal":"Nucleic Acid Research","doi":"10.1093/nar/gks1004","created_at":"2021-09-30T08:26:02.024Z","updated_at":"2021-09-30T08:26:02.024Z"},{"id":2186,"pubmed_id":null,"title":"MetaboLights: towards a new COSMOS of metabolomics data management.","year":2013,"url":"http://doi.org/10.1007/s11306-012-0462-0","authors":"Steinbeck C, Conesa P, Haug K, Mahendraker T, Williams M, Maguire E, Rocca-Serra P, Sansone SA, Salek RM, Griffin JL.","journal":"Metabolomics","doi":"10.1007/s11306-012-0462-0","created_at":"2021-09-30T08:26:26.460Z","updated_at":"2021-09-30T08:26:26.460Z"},{"id":2313,"pubmed_id":null,"title":"The MetaboLights repository: curation challenges in metabolomics","year":2013,"url":"http://doi.org/10.1093/database/bat029","authors":"Reza M. Salek, Kenneth Haug, Pablo Conesa, Janna Hastings, Mark Williams, Tejasvi Mahendraker, Eamonn Maguire, Alejandra N. González-Beltrán, Philippe Rocca-Serra, Susanna-Assunta Sansone and Christoph Steinbeck","journal":"Database: The Journal of Biological Databases and Curation","doi":"10.1093/database/bat029","created_at":"2021-09-30T08:26:43.777Z","updated_at":"2021-09-30T08:26:43.777Z"},{"id":2315,"pubmed_id":28830114,"title":"Automated assembly of species metabolomes through data submission into a public repository.","year":2017,"url":"http://doi.org/10.1093/gigascience/gix062","authors":"Salek RM,Conesa P,Cochrane K,Haug K,Williams M,Kale N,Moreno P,Jayaseelan KV,Macias JR,Nainala VC,Hall RD,Reed LK,Viant MR,O'Donovan C,Steinbeck C","journal":"Gigascience","doi":"10.1093/gigascience/gix062","created_at":"2021-09-30T08:26:44.041Z","updated_at":"2021-09-30T08:26:44.041Z"},{"id":2771,"pubmed_id":31691833,"title":"MetaboLights: a resource evolving in response to the needs of its scientific community.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1019","authors":"Haug K,Cochrane K,Nainala VC,Williams M,Chang J,Jayaseelan KV,O'Donovan C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1019","created_at":"2021-09-30T08:27:40.603Z","updated_at":"2021-09-30T11:29:43.678Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1689,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1688,"relation":"undefined"}],"grants":[{"id":539,"fairsharing_record_id":1711,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:35.363Z","updated_at":"2021-09-30T09:24:35.363Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":544,"fairsharing_record_id":1711,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:35.561Z","updated_at":"2021-09-30T09:29:34.853Z","grant_id":310,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U54GM114833-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":541,"fairsharing_record_id":1711,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:35.436Z","updated_at":"2021-09-30T09:30:20.614Z","grant_id":666,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M027635/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":540,"fairsharing_record_id":1711,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:24:35.402Z","updated_at":"2021-09-30T09:30:34.091Z","grant_id":768,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"634402","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":543,"fairsharing_record_id":1711,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:24:35.522Z","updated_at":"2021-09-30T09:24:35.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":542,"fairsharing_record_id":1711,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:35.472Z","updated_at":"2021-09-30T09:30:19.548Z","grant_id":658,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"MR/L01632X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8105,"fairsharing_record_id":1711,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:30:58.888Z","updated_at":"2021-09-30T09:30:58.955Z","grant_id":963,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654241","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1712","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:02.491Z","metadata":{"doi":"10.25504/FAIRsharing.gwyrzg","name":"Aptamer Base","status":"deprecated","homepage":"http://aptamerbase.semanticscience.org/","identifier":1712,"description":"Aptamer Base, a database that provides detailed, structured information about the experimental conditions under which aptamers were selected and their binding affinity quantified. The open collaborative nature of the Aptamer Base provides the community with a unique resource that can be updated and curated in a decentralized manner, thereby accommodating the ever evolving field of aptamer research. The Aptamer Base homepage is currently unavailable, and until we have more information from the resource, this record has been marked as uncertain.","abbreviation":"Aptamer Base","data_curation":{"type":"not found"},"support_links":[{"url":"http://aptamerbase.semanticscience.org/?q=contact","type":"Contact form"},{"url":"http://aptamerbase.semanticscience.org/?q=about","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"The database has been deprecated and the data can now be downloaded at https://github.com/micheldumontier/aptamerbase","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000169","bsg-d000169"],"name":"FAIRsharing record for: Aptamer Base","abbreviation":"Aptamer Base","url":"https://fairsharing.org/10.25504/FAIRsharing.gwyrzg","doi":"10.25504/FAIRsharing.gwyrzg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Aptamer Base, a database that provides detailed, structured information about the experimental conditions under which aptamers were selected and their binding affinity quantified. The open collaborative nature of the Aptamer Base provides the community with a unique resource that can be updated and curated in a decentralized manner, thereby accommodating the ever evolving field of aptamer research. The Aptamer Base homepage is currently unavailable, and until we have more information from the resource, this record has been marked as uncertain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":[],"taxonomies":[],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":228,"pubmed_id":22434840,"title":"Aptamer Base: a collaborative knowledge base to describe aptamers and SELEX experiments.","year":2012,"url":"http://doi.org/10.1093/database/bas006","authors":"Cruz-Toledo J., McKeague M., Zhang X., Giamberardino A., McConnell E., Francis T., DeRosa MC., Dumontier M.,","journal":"Database (Oxford)","doi":"10.1093/database/bas006","created_at":"2021-09-30T08:22:44.616Z","updated_at":"2021-09-30T08:22:44.616Z"}],"licence_links":[],"grants":[{"id":545,"fairsharing_record_id":1712,"organisation_id":674,"relation":"maintains","created_at":"2021-09-30T09:24:35.593Z","updated_at":"2021-09-30T09:24:35.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":674,"name":"Department of Biology, Carleton University, Ottawa, ON, Canada","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1709","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:34.895Z","metadata":{"doi":"10.25504/FAIRsharing.ab8f4d","name":"Nordic Control Allele Frequency and Genotype Database","status":"deprecated","contacts":[{"contact_name":"Samuli Ripatti","contact_email":"samuli.ripatti@thl.fi","contact_orcid":"0000-0002-0504-1202"}],"homepage":"http://nordicdb.org/","identifier":1709,"description":"Database of SNP genotype control data. The current version of NordicDB pools together high-density genome-wide SNP information from ∼5000 controls originating from Finnish, Swedish and Danish studies and shows country-specific allele frequencies for SNP markers.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","deprecation_date":"2015-09-01","deprecation_reason":"This resource is no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000166","bsg-d000166"],"name":"FAIRsharing record for: Nordic Control Allele Frequency and Genotype Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ab8f4d","doi":"10.25504/FAIRsharing.ab8f4d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of SNP genotype control data. The current version of NordicDB pools together high-density genome-wide SNP information from ∼5000 controls originating from Finnish, Swedish and Danish studies and shows country-specific allele frequencies for SNP markers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["DNA structural variation","Single nucleotide polymorphism","Allele","Genome-wide association study","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Denmark","Finland","Sweden","European Union"],"publications":[{"id":1927,"pubmed_id":20664631,"title":"NordicDB: a Nordic pool and portal for genome-wide control data.","year":2010,"url":"http://doi.org/10.1038/ejhg.2010.112","authors":"Leu M., Humphreys K., Surakka I., Rehnberg E., Muilu J., Rosenström P., Almgren P., Jääskeläinen J., Lifton RP., Kyvik KO., Kaprio J., Pedersen NL., Palotie A., Hall P., Grönberg H., Groop L., Peltonen L., Palmgren J., Ripatti S.,","journal":"Eur. J. Hum. Genet.","doi":"10.1038/ejhg.2010.112","created_at":"2021-09-30T08:25:56.848Z","updated_at":"2021-09-30T08:25:56.848Z"}],"licence_links":[],"grants":[{"id":535,"fairsharing_record_id":1709,"organisation_id":221,"relation":"funds","created_at":"2021-09-30T09:24:35.239Z","updated_at":"2021-09-30T09:24:35.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":221,"name":"Biocentrum Helsinki Foundation, Helsinki, Finland","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":533,"fairsharing_record_id":1709,"organisation_id":2852,"relation":"funds","created_at":"2021-09-30T09:24:35.155Z","updated_at":"2021-09-30T09:24:35.155Z","grant_id":null,"is_lead":false,"saved_state":{"id":2852,"name":"The Wallenberg Foundation","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":534,"fairsharing_record_id":1709,"organisation_id":1011,"relation":"funds","created_at":"2021-09-30T09:24:35.198Z","updated_at":"2021-09-30T09:24:35.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1011,"name":"Finnish Centre of Excellence of Complex Disease Genetics, Helsinki, Finland","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":536,"fairsharing_record_id":1709,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:24:35.277Z","updated_at":"2021-09-30T09:24:35.277Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1710","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:21.782Z","metadata":{"doi":"10.25504/FAIRsharing.90yw2f","name":"Worm Developmental Dynamics Database","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp"}],"homepage":"http://so.qbic.riken.jp/wddd/cdd/index.html","citations":[],"identifier":1710,"description":"This database is a collection of quantitative information about cell division dynamics in early Caenorhabditis elegans embryos when each of all essential embryonic genes is silenced individually by RNA interference (RNAi). The information is obtained by combining four-dimensional differential contrast interference (DIC) microscopy and computer image processing. The information collection provides novel opportunities for developing quantitative and computational approaches towards understanding animal development.","abbreviation":"WDDD","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://so.qbic.riken.jp/wddd/cdd/help.html","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000167","bsg-d000167"],"name":"FAIRsharing record for: Worm Developmental Dynamics Database","abbreviation":"WDDD","url":"https://fairsharing.org/10.25504/FAIRsharing.90yw2f","doi":"10.25504/FAIRsharing.90yw2f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is a collection of quantitative information about cell division dynamics in early Caenorhabditis elegans embryos when each of all essential embryonic genes is silenced individually by RNA interference (RNAi). The information is obtained by combining four-dimensional differential contrast interference (DIC) microscopy and computer image processing. The information collection provides novel opportunities for developing quantitative and computational approaches towards understanding animal development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Bioimaging","Microscopy","RNA interference","Cell division"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":62,"pubmed_id":23172286,"title":"WDDD: Worm Developmental Dynamics Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1107","authors":"Kyoda K., Adachi E., Masuda E., Nagai Y., Suzuki Y., Oguro T., Urai M., Arai R., Furukawa M., Shimada K., Kuramochi J., Nagai E., Onami S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1107","created_at":"2021-09-30T08:22:26.956Z","updated_at":"2021-09-30T08:22:26.956Z"}],"licence_links":[],"grants":[{"id":537,"fairsharing_record_id":1710,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:35.309Z","updated_at":"2021-09-30T09:24:35.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":538,"fairsharing_record_id":1710,"organisation_id":1669,"relation":"maintains","created_at":"2021-09-30T09:24:35.333Z","updated_at":"2021-09-30T09:24:35.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":1669,"name":"Laboratory for Developmental Dynamics, RIKEN Quantitative Biology Center, Kobe, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1698","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:04:24.824Z","metadata":{"doi":"10.25504/FAIRsharing.1x53qk","name":"WikiPathways","status":"ready","contacts":[{"contact_name":"Alex Pico","contact_email":"alex.pico@gladstone.ucsf.edu","contact_orcid":"0000-0001-5706-2163"}],"homepage":"https://wikipathways.org","citations":[],"identifier":1698,"description":"WikiPathways is an open, collaborative platform dedicated to the curation of biological pathways. WikiPathways was established to facilitate the contribution and maintenance of pathway information by the biology community.","abbreviation":"WikiPathways","data_curation":{"url":"https://www.wikipathways.org/help.html#participate","type":"manual","notes":"A weekly rotation of community curators work to ensure the quality of new content and edits to existing content."},"support_links":[{"url":"http://wikipathways.org/index.php/Help:Contents","type":"Help documentation"},{"url":"http://wikipathways.tumblr.com/","type":"Help documentation"},{"url":"https://groups.google.com/forum/#!forum/wikipathways-discuss","type":"Mailing list"},{"url":"https://twitter.com/WikiPathways","type":"Twitter"},{"url":"https://github.com/wikipathways/wikipathways-faq/discussions","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://pathvisio.org/","name":"PathVisio 3.3.0"},{"url":"http://apps.cytoscape.org/apps/wikipathways","name":"WikiPathways App 3.3.7"},{"url":"https://pathvisio.github.io/plugins/plugins-repo","name":"WikiPathways Plugin"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013316","name":"re3data:r3d100013316","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002134","name":"SciCrunch:RRID:SCR_002134","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.wikipathways.org/about.html","type":"open","notes":"The pathway content at WikiPathways is freely available for download in a variety of data and image formats"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.wikipathways.org/help.html#participate","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000155","bsg-d000155"],"name":"FAIRsharing record for: WikiPathways","abbreviation":"WikiPathways","url":"https://fairsharing.org/10.25504/FAIRsharing.1x53qk","doi":"10.25504/FAIRsharing.1x53qk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WikiPathways is an open, collaborative platform dedicated to the curation of biological pathways. WikiPathways was established to facilitate the contribution and maintenance of pathway information by the biology community.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17058},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11054},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11520},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12241},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12299},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12613}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Mathematical model","Image","Pathway model"],"taxonomies":["Anopheles gambiae","Arabidopsis thaliana","Bacillus subtilis","Bos taurus","Caenorhabditis elegans","Canis familiaris","Danio rerio","Drosophila melanogaster","Equus caballus","Escherichia coli","Gallus gallus","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Oryza sativa","Pan troglodytes","Rattus norvegicus","Saccharomyces cerevisiae","Sus scrofa","Xenopus laevis","Zea mays"],"user_defined_tags":["COVID-19"],"countries":["Netherlands","United Kingdom","United States"],"publications":[{"id":216,"pubmed_id":18651794,"title":"WikiPathways: pathway editing for the people.","year":2008,"url":"http://doi.org/10.1371/journal.pbio.0060184","authors":"Pico AR., Kelder T., van Iersel MP., Hanspers K., Conklin BR., Evelo C.,","journal":"PLoS Biol.","doi":"10.1371/journal.pbio.0060184","created_at":"2021-09-30T08:22:43.448Z","updated_at":"2021-09-30T08:22:43.448Z"},{"id":1315,"pubmed_id":19649250,"title":"Mining biological pathways using WikiPathways web services.","year":2009,"url":"http://doi.org/10.1371/journal.pone.0006447","authors":"Kelder T., Pico AR., Hanspers K., van Iersel MP., Evelo C., Conklin BR.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0006447","created_at":"2021-09-30T08:24:46.842Z","updated_at":"2021-09-30T08:24:46.842Z"},{"id":1955,"pubmed_id":22096230,"title":"WikiPathways: building research communities on biological pathways.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1074","authors":"Kelder T,van Iersel MP,Hanspers K,Kutmon M,Conklin BR,Evelo CT,Pico AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1074","created_at":"2021-09-30T08:25:59.987Z","updated_at":"2021-09-30T11:29:24.637Z"},{"id":1965,"pubmed_id":33211851,"title":"WikiPathways: connecting communities.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1024","authors":"Martens M,Ammar A,Riutta A,Waagmeester A,Slenter DN,Hanspers K,A Miller R,Digles D,Lopes EN,Ehrhart F,Dupuis LJ,Winckers LA,Coort SL,Willighagen EL,Evelo CT,Pico AR,Kutmon M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1024","created_at":"2021-09-30T08:26:01.186Z","updated_at":"2021-09-30T11:29:24.819Z"},{"id":2847,"pubmed_id":26481357,"title":"WikiPathways: capturing the full diversity of pathway knowledge.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1024","authors":"Kutmon M,Riutta A,Nunes N,Hanspers K,Willighagen EL,Bohler A,Melius J,Waagmeester A,Sinha SR,Miller R,Coort SL,Cirillo E,Smeets B,Evelo CT,Pico AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1024","created_at":"2021-09-30T08:27:50.261Z","updated_at":"2021-09-30T11:29:47.322Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":249,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2673,"relation":"applies_to_content"}],"grants":[{"id":495,"fairsharing_record_id":1698,"organisation_id":1159,"relation":"maintains","created_at":"2021-09-30T09:24:33.774Z","updated_at":"2021-09-30T09:24:33.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":1159,"name":"Gladstone Institutes","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7969,"fairsharing_record_id":1698,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:30:09.318Z","updated_at":"2021-09-30T09:30:09.374Z","grant_id":576,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"gm-100039","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8258,"fairsharing_record_id":1698,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:31:47.932Z","updated_at":"2021-09-30T09:31:47.972Z","grant_id":1331,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"GM100039","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":491,"fairsharing_record_id":1698,"organisation_id":2989,"relation":"maintains","created_at":"2021-09-30T09:24:33.625Z","updated_at":"2021-09-30T09:24:33.625Z","grant_id":null,"is_lead":false,"saved_state":{"id":2989,"name":"Department of Bioinformatics, Universiteit Maastricht","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":493,"fairsharing_record_id":1698,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:33.704Z","updated_at":"2021-09-30T09:24:33.704Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":492,"fairsharing_record_id":1698,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:33.663Z","updated_at":"2021-09-30T09:30:07.473Z","grant_id":561,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"GM103504","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":494,"fairsharing_record_id":1698,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:33.747Z","updated_at":"2021-09-30T09:30:32.075Z","grant_id":752,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HG003053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8419,"fairsharing_record_id":1698,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:33.468Z","updated_at":"2021-09-30T09:32:33.519Z","grant_id":1673,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"GM080223","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYlU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0b670e102fa16a71e75c331fa057537a20c83365/wplogo_500.png?disposition=inline","exhaustive_licences":false}},{"id":"1730","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:19.628Z","metadata":{"doi":"10.25504/FAIRsharing.dkbt9j","name":"Carbohydrate Structure Database","status":"ready","contacts":[{"contact_name":"Philip Toukach","contact_email":"netbox@toukach.ru"}],"homepage":"http://csdb.glycoscience.ru/database/","citations":[{"doi":"10.1093/nar/gkv840","pubmed_id":26286194,"publication_id":2160}],"identifier":1730,"description":"The Carbohydrate Structure Database (CSDB) contains manually curated natural carbohydrate structures, taxonomy, bibliography, NMR data and more. The Bacterial (BCSDB) and Plant\u0026Fungal (PFCSDB) databases were merged in 2015, becoming the CSDB, to improve the quality of content-dependent services, such as taxon clustering and NMR simulation.","abbreviation":"CSDB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://csdb.glycoscience.ru/database/core/feedback.php","type":"Contact form"},{"url":"netbox@toukach.ru","type":"Support email"},{"url":"http://csdb.glycoscience.ru/database/core/help.php?topic=examples","name":"Examples of Usage","type":"Help documentation"},{"url":"http://csdb.glycoscience.ru/database/core/help.php?db=database\u0026topic=about","name":"About CSDB","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://csdb.glycoscience.ru/database/core/nmrsim.html","name":"Predict NMR"},{"url":"http://csdb.glycoscience.ru/biopsel/grass_interface.php","name":"NMR-based Structure Matching"},{"url":"http://csdb.glycoscience.ru/database/core/dimers.html","name":"Monomer and Dimer Abundance"},{"url":"http://csdb.glycoscience.ru/integration/dsmatrix.php","name":"Glycome-based Taxon clustering"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012862","name":"re3data:r3d100012862","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://csdb.glycoscience.ru/database/core/submit.php","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000187","bsg-d000187"],"name":"FAIRsharing record for: Carbohydrate Structure Database","abbreviation":"CSDB","url":"https://fairsharing.org/10.25504/FAIRsharing.dkbt9j","doi":"10.25504/FAIRsharing.dkbt9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Carbohydrate Structure Database (CSDB) contains manually curated natural carbohydrate structures, taxonomy, bibliography, NMR data and more. The Bacterial (BCSDB) and Plant\u0026Fungal (PFCSDB) databases were merged in 2015, becoming the CSDB, to improve the quality of content-dependent services, such as taxon clustering and NMR simulation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Molecular structure","Carbohydrate","Nuclear Magnetic Resonance (NMR) spectroscopy","Cross linking","Curated information","Structure"],"taxonomies":["Algae","Archaea","Bacteria","Fungi","Plantae"],"user_defined_tags":["Glycan sequences","Non-carbohydrate moieties"],"countries":["Russia"],"publications":[{"id":665,"pubmed_id":17202164,"title":"Sharing of worldwide distributed carbohydrate-related digital resources: online connection of the Bacterial Carbohydrate Structure DataBase and GLYCOSCIENCES.de","year":2007,"url":"http://doi.org/10.1093/nar/gkl883","authors":"Ph. Toukach, H. Joshi, R. Ranzinger, Yu. Knirel, C.-W. von der Lieth","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl883","created_at":"2021-09-30T08:23:33.402Z","updated_at":"2021-09-30T08:23:33.402Z"},{"id":666,"pubmed_id":21155523,"title":"Bacterial Carbohydrate Structure Database 3: principles and realization","year":2010,"url":"http://doi.org/10.1021/ci100150d","authors":"Ph. Toukach","journal":"J. Chem. Inf. Model.","doi":"10.1021/ci100150d","created_at":"2021-09-30T08:23:33.510Z","updated_at":"2021-09-30T08:23:33.510Z"},{"id":2159,"pubmed_id":18694500,"title":"Statistical analysis of the Bacterial Carbohydrate Structure Data Base (BCSDB): Characteristics and diversity of bacterial carbohydrates in comparison with mammalian glycans","year":2008,"url":"http://doi.org/10.1186/1472-6807-8-35","authors":"S. Herget, Ph. Toukach, R. Ranzinger, W.E. Hull, Y. Knirel, C.-W. von der Lieth","journal":"BMC Struct. Biol.","doi":"10.1186/1472-6807-8-35","created_at":"2021-09-30T08:26:23.408Z","updated_at":"2021-09-30T08:26:23.408Z"},{"id":2160,"pubmed_id":26286194,"title":"Carbohydrate structure database merged from bacterial, archaeal, plant and fungal parts.","year":2015,"url":"http://doi.org/10.1093/nar/gkv840","authors":"Toukach PV,Egorova KS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv840","created_at":"2021-09-30T08:26:23.514Z","updated_at":"2021-09-30T11:29:30.328Z"},{"id":3729,"pubmed_id":null,"title":"Carbohydrate Structure Database (CSDB): Examples of Usage","year":2016,"url":"http://dx.doi.org/10.1007/978-4-431-56454-6_5","authors":"Egorova, Ksenia S.; Toukach, Philip V.; ","journal":"A Practical Guide to Using Glycomics Databases","doi":"10.1007/978-4-431-56454-6_5","created_at":"2022-12-07T13:15:03.025Z","updated_at":"2022-12-07T13:15:03.025Z"},{"id":3730,"pubmed_id":null,"title":"Bacterial, Plant, and Fungal Carbohydrate Structure Databases: Daily Usage","year":2015,"url":"http://dx.doi.org/10.1007/978-1-4939-2343-4_5","authors":"Toukach, Philip V.; Egorova, Ksenia S.; ","journal":"Methods in Molecular Biology","doi":"10.1007/978-1-4939-2343-4_5","created_at":"2022-12-07T13:15:28.756Z","updated_at":"2022-12-07T13:15:28.756Z"}],"licence_links":[],"grants":[{"id":611,"fairsharing_record_id":1730,"organisation_id":1512,"relation":"funds","created_at":"2021-09-30T09:24:37.876Z","updated_at":"2021-09-30T09:24:37.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":1512,"name":"International Science and Technology Center (ISTC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":610,"fairsharing_record_id":1730,"organisation_id":756,"relation":"maintains","created_at":"2021-09-30T09:24:37.838Z","updated_at":"2021-09-30T09:24:37.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":756,"name":"Deutsches Krebsforschungszentrum","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":612,"fairsharing_record_id":1730,"organisation_id":3272,"relation":"maintains","created_at":"2021-09-30T09:24:37.914Z","updated_at":"2021-09-30T09:24:37.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":3272,"name":"Zelinsky Institute of Organic Chemistry, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":609,"fairsharing_record_id":1730,"organisation_id":2472,"relation":"funds","created_at":"2021-09-30T09:24:37.807Z","updated_at":"2021-09-30T09:31:48.835Z","grant_id":1338,"is_lead":false,"saved_state":{"id":2472,"name":"Russian Federation President program, Russia","grant":"MK-1700.2005.4","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9323,"fairsharing_record_id":1730,"organisation_id":2474,"relation":"funds","created_at":"2022-04-11T12:07:30.377Z","updated_at":"2022-04-11T12:07:30.396Z","grant_id":1525,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"N05-07-90099","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaXNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d1b9b1cfd6b4cfb25c9e2afb7bad78c8bf7bdc4a/Screenshot%20from%202022-12-07%2013-13-16.png?disposition=inline","exhaustive_licences":false}},{"id":"1731","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T10:33:56.546Z","metadata":{"doi":"10.25504/FAIRsharing.mt6057","name":"CellFinder","status":"deprecated","contacts":[{"contact_name":"Andreas Kurtz","contact_email":"contact@cellfinder.de"}],"homepage":"http://cellfinder.org/","citations":[],"identifier":1731,"description":"CellFinder maps validated gene and protein expression, phenotype and images related to cell types.The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text.","abbreviation":"CellFinder","data_curation":{"type":"not found"},"support_links":[{"url":"http://cellfinder.de/contact","type":"Contact form"},{"url":"http://cellfinder.org/help/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.youtube.com/watch?v=14oGjsLsE0I","type":"Video"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://sbb.cellfinder.org","name":"semantic body browser"},{"url":"http://cellfinder.org/analysis/compare","name":"Compare Tool"},{"url":"http://cellfinder.org/analysis/marker","name":"Marker Tool"}],"deprecation_date":"2023-03-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000188","bsg-d000188"],"name":"FAIRsharing record for: CellFinder","abbreviation":"CellFinder","url":"https://fairsharing.org/10.25504/FAIRsharing.mt6057","doi":"10.25504/FAIRsharing.mt6057","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CellFinder maps validated gene and protein expression, phenotype and images related to cell types.The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12622}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Cell","Image","Curated information","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1397,"pubmed_id":23599415,"title":"Preliminary evaluation of the CellFinder literature curation pipeline for gene expression in kidney cells and anatomical parts.","year":2013,"url":"http://doi.org/10.1093/database/bat020","authors":"Neves M, Damaschun A, Mah N, Lekschas F, Seltmann S, Stachelscheid H, Fontaine JF, Kurtz A, Leser U.","journal":"Database","doi":"10.1093/database/bat020","created_at":"2021-09-30T08:24:56.185Z","updated_at":"2021-09-30T08:24:56.185Z"},{"id":1398,"pubmed_id":24304896,"title":"CellFinder: a cell data repository.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1264","authors":"Stachelscheid H,Seltmann S,Lekschas F,Fontaine JF,Mah N,Neves M,Andrade-Navarro MA,Leser U,Kurtz A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1264","created_at":"2021-09-30T08:24:56.290Z","updated_at":"2021-09-30T11:29:07.770Z"},{"id":1420,"pubmed_id":25344497,"title":"Semantic Body Browser: graphical exploration of an organism and spatially resolved expression data visualization.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu707","authors":"Lekschas F,Stachelscheid H,Seltmann S,Kurtz A","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu707","created_at":"2021-09-30T08:24:58.720Z","updated_at":"2021-09-30T08:24:58.720Z"}],"licence_links":[{"licence_name":"Cell Finder Copyright","licence_id":116,"licence_url":"http://cellfinder.de/contact/disclaimer/","link_id":169,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":170,"relation":"undefined"}],"grants":[{"id":615,"fairsharing_record_id":1731,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:38.022Z","updated_at":"2021-09-30T09:29:15.377Z","grant_id":161,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"LE 1428/3-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":614,"fairsharing_record_id":1731,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:37.984Z","updated_at":"2021-09-30T09:30:49.772Z","grant_id":890,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"334502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8230,"fairsharing_record_id":1731,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:31:39.065Z","updated_at":"2021-09-30T09:31:39.118Z","grant_id":1267,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"KU 851/3-1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1732","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:42:36.925Z","metadata":{"doi":"10.25504/FAIRsharing.fgj73t","name":"Monosaccharide Database","status":"deprecated","contacts":[{"contact_name":"Thomas Lutteke","contact_email":"Thomas.Luetteke@vetmed.uni-giessen.de"}],"homepage":"http://www.monosaccharidedb.org/","citations":[],"identifier":1732,"description":"Database on carbohydrate building blocks / residues (monosaccharides). Provides various kinds of residue data, especially notation information.","abbreviation":"MonosaccharideDB","data_curation":{},"support_links":[{"url":"https://groups.google.com/forum/#!forum/eurocarb-users","type":"Forum"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2024-03-20","deprecation_reason":"This resource is no longer available, however the owner has indicated it may become available again in future. Please get in touch if you have any information about this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000189","bsg-d000189"],"name":"FAIRsharing record for: Monosaccharide Database","abbreviation":"MonosaccharideDB","url":"https://fairsharing.org/10.25504/FAIRsharing.fgj73t","doi":"10.25504/FAIRsharing.fgj73t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database on carbohydrate building blocks / residues (monosaccharides). Provides various kinds of residue data, especially notation information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Carbohydrate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":616,"fairsharing_record_id":1732,"organisation_id":1618,"relation":"maintains","created_at":"2021-09-30T09:24:38.059Z","updated_at":"2021-09-30T09:24:38.059Z","grant_id":null,"is_lead":false,"saved_state":{"id":1618,"name":"Justus-Liebig University Giessen, Giessen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":617,"fairsharing_record_id":1732,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:24:38.101Z","updated_at":"2021-09-30T09:28:54.867Z","grant_id":13,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"011952","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11851,"fairsharing_record_id":1732,"organisation_id":1118,"relation":"maintains","created_at":"2024-06-27T12:38:48.830Z","updated_at":"2024-06-27T12:38:48.830Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1733","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-05-05T09:42:19.463Z","metadata":{"doi":"10.25504/FAIRsharing.tfvd5r","name":"Glycosciences.de DB","status":"deprecated","contacts":[{"contact_name":"Thomas Lutteke","contact_email":"thomas.luetteke@vetmed.uni-giessen.de","contact_orcid":"0000-0002-7140-9933"}],"homepage":"http://www.glycosciences.de/database/","citations":[],"identifier":1733,"description":"Glycan database with focus on carbohydrate 3D structures","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"not found","deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000190","bsg-d000190"],"name":"FAIRsharing record for: Glycosciences.de DB","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tfvd5r","doi":"10.25504/FAIRsharing.tfvd5r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Glycan database with focus on carbohydrate 3D structures","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Carbohydrate","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":161,"pubmed_id":16239495,"title":"GLYCOSCIENCES.de: an Internet portal to support glycomics and glycobiology research.","year":2005,"url":"http://doi.org/10.1093/glycob/cwj049","authors":"Lütteke T, Bohne-Lang A, Loss A, Goetz T, Frank M, von der Lieth CW.","journal":"Glycobiology","doi":"10.1093/glycob/cwj049","created_at":"2021-09-30T08:22:37.749Z","updated_at":"2021-09-30T08:22:37.749Z"}],"licence_links":[],"grants":[{"id":621,"fairsharing_record_id":1733,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:38.301Z","updated_at":"2021-09-30T09:24:38.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":620,"fairsharing_record_id":1733,"organisation_id":1618,"relation":"maintains","created_at":"2021-09-30T09:24:38.259Z","updated_at":"2021-09-30T09:24:38.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":1618,"name":"Justus-Liebig University Giessen, Giessen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1734","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:13.417Z","metadata":{"doi":"10.25504/FAIRsharing.bc23s","name":"GlycoProtDB","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"jcggdb-ml@aist.go.jp"}],"homepage":"https://acgg.asia/db/gpdb/","citations":[],"identifier":1734,"description":"GlycoProtDB is a glycoprotein database providing information of Asn (N)-glycosylated proteins and their glycosylated site(s), which were constructed by employing a bottom-up strategy using actual glycopeptide sequences identified by LC/MS-based glycoproteomic technologies. The database is searchable using gene ID, gene name, and its description (protein name) as query. Each data sheet of glycproteins is based on a single amino acid sequence in Wormpep database for C.elegans and NCBI Refseq database for mouse. The sheet presents actually detected N-glycosylation site(s) which are displayed each capturing methods of glycopeptide subset, e.g., lectins Concanavalin A, wheat germ agglutinin (WGA), or HILIC (hydrophilic interaction chromatography), as well as potential N-glycosylation sites (NX[STC], X≠P). Protein sequences, which have common glycopeptide sequence(s), are linked each other.","abbreviation":"GPDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://acgg.asia/db/gpdb/index?doc_no=7","name":"Data Information","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000191","bsg-d000191"],"name":"FAIRsharing record for: GlycoProtDB","abbreviation":"GPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bc23s","doi":"10.25504/FAIRsharing.bc23s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoProtDB is a glycoprotein database providing information of Asn (N)-glycosylated proteins and their glycosylated site(s), which were constructed by employing a bottom-up strategy using actual glycopeptide sequences identified by LC/MS-based glycoproteomic technologies. The database is searchable using gene ID, gene name, and its description (protein name) as query. Each data sheet of glycproteins is based on a single amino acid sequence in Wormpep database for C.elegans and NCBI Refseq database for mouse. The sheet presents actually detected N-glycosylation site(s) which are displayed each capturing methods of glycopeptide subset, e.g., lectins Concanavalin A, wheat germ agglutinin (WGA), or HILIC (hydrophilic interaction chromatography), as well as potential N-glycosylation sites (NX[STC], X≠P). Protein sequences, which have common glycopeptide sequence(s), are linked each other.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Glycomics"],"domains":["Mass spectrum","Chromatography","Protein"],"taxonomies":["Caenorhabditis elegans","Mus musculus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":199,"pubmed_id":22823882,"title":"Large-scale Identification of N-Glycosylated Proteins of Mouse Tissues and Construction of a Glycoprotein Database, GlycoProtDB","year":2012,"url":"http://doi.org/10.1021/pr300346c","authors":"Kaji H. et al","journal":"Journal of Proteome","doi":"10.1021/pr300346c","created_at":"2021-09-30T08:22:41.772Z","updated_at":"2021-09-30T08:22:41.772Z"}],"licence_links":[{"licence_name":"Attribution-NonCommercial-ShareAlike 2.1 Japan (CC BY-NC-SA 2.1 JP)","licence_id":887,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.1/jp/deed.en","link_id":2493,"relation":"applies_to_content"}],"grants":[{"id":624,"fairsharing_record_id":1734,"organisation_id":2147,"relation":"maintains","created_at":"2021-09-30T09:24:38.413Z","updated_at":"2021-09-30T09:24:38.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":2147,"name":"New Energy and Industrial Technology Development Organization","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":622,"fairsharing_record_id":1734,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:38.343Z","updated_at":"2021-09-30T09:24:38.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":623,"fairsharing_record_id":1734,"organisation_id":2007,"relation":"maintains","created_at":"2021-09-30T09:24:38.381Z","updated_at":"2021-09-30T09:24:38.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":625,"fairsharing_record_id":1734,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:24:38.468Z","updated_at":"2021-09-30T09:24:38.468Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1735","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:02.934Z","metadata":{"doi":"10.25504/FAIRsharing.d50fb5","name":"Encyclopedia of Hepatocellular Carcinome Genes Online II","status":"deprecated","contacts":[{"contact_email":"woody@iis.sinica.edu.tw"}],"homepage":"http://ehco.iis.sinica.edu.tw/","identifier":1735,"description":"The Encyclopedia of Hepatocellular Carcinoma genes Online, dubbed EHCO, was built to systematically collect, organize and compare the pileup of unsorted HCC-related studies by using natural language processing and softbots.","abbreviation":"EHCO II","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2015-09-01","deprecation_reason":"Database no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000192","bsg-d000192"],"name":"FAIRsharing record for: Encyclopedia of Hepatocellular Carcinome Genes Online II","abbreviation":"EHCO II","url":"https://fairsharing.org/10.25504/FAIRsharing.d50fb5","doi":"10.25504/FAIRsharing.d50fb5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Encyclopedia of Hepatocellular Carcinoma genes Online, dubbed EHCO, was built to systematically collect, organize and compare the pileup of unsorted HCC-related studies by using natural language processing and softbots.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Life Science"],"domains":["Expression data","Classification","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":2708,"pubmed_id":17326819,"title":"Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (Encyclopedia of Hepatocellular Carcinoma genes Online).","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-66","authors":"Hsu CN., Lai JM., Liu CH., Tseng HH., Lin CY., Lin KT., Yeh HH., Sung TY., Hsu WL., Su LJ., Lee SA., Chen CH., Lee GC., Lee DT., Shiue YL., Yeh CW., Chang CH., Kao CY., Huang CY.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-66","created_at":"2021-09-30T08:27:32.588Z","updated_at":"2021-09-30T08:27:32.588Z"}],"licence_links":[],"grants":[{"id":627,"fairsharing_record_id":1735,"organisation_id":16,"relation":"maintains","created_at":"2021-09-30T09:24:38.543Z","updated_at":"2021-09-30T09:24:38.543Z","grant_id":null,"is_lead":false,"saved_state":{"id":16,"name":"Academia Sinica, China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":626,"fairsharing_record_id":1735,"organisation_id":1873,"relation":"funds","created_at":"2021-09-30T09:24:38.506Z","updated_at":"2021-09-30T09:30:47.107Z","grant_id":869,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC95-2320-B-400-009-MY3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1736","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:05.010Z","metadata":{"doi":"10.25504/FAIRsharing.jm8fzm","name":"Human Endogenous Retrovirus database","status":"ready","contacts":[{"contact_name":"Jan Pačes","contact_email":"hpaces@img.cas.cz","contact_orcid":"0000-0003-3059-6127"}],"homepage":"https://herv.img.cas.cz","citations":[],"identifier":1736,"description":"This database is compiled from the human genome nucleotide sequences obtained mostly in the Human Genome Projects. The database makes it possible to continuously improve classification and characterization of retroviral families. The HERV database now contains retroviruses from more than 90 % of the human genome.","abbreviation":"HERVd","data_curation":{"url":"https://herv.img.cas.cz/about","type":"manual"},"support_links":[{"url":"https://herv.img.cas.cz/about","name":"Contact","type":"Contact form"},{"url":"https://herv.img.cas.cz/help","name":"Help Pages","type":"Help documentation"},{"url":"https://herv.img.cas.cz/stats","name":"Statistics","type":"Help documentation"},{"url":"https://herv.img.cas.cz/about","name":"About the database","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"https://herv.img.cas.cz/selection_pressures","name":"Selection pressures"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000193","bsg-d000193"],"name":"FAIRsharing record for: Human Endogenous Retrovirus database","abbreviation":"HERVd","url":"https://fairsharing.org/10.25504/FAIRsharing.jm8fzm","doi":"10.25504/FAIRsharing.jm8fzm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is compiled from the human genome nucleotide sequences obtained mostly in the Human Genome Projects. The database makes it possible to continuously improve classification and characterization of retroviral families. The HERV database now contains retroviruses from more than 90 % of the human genome.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11328},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12159}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Deoxyribonucleic acid","Classification","Retrotransposon","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":248,"pubmed_id":11752294,"title":"HERVd: database of human endogenous retroviruses.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.205","authors":"Paces J., Pavlícek A., Paces V.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.205","created_at":"2021-09-30T08:22:46.822Z","updated_at":"2021-09-30T08:22:46.822Z"},{"id":270,"pubmed_id":14681356,"title":"HERVd: the Human Endogenous RetroViruses Database: update.","year":2003,"url":"http://doi.org/10.1093/nar/gkh075","authors":"Paces J., Pavlícek A., Zika R., Kapitonov VV., Jurka J., Paces V.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh075","created_at":"2021-09-30T08:22:49.165Z","updated_at":"2021-09-30T08:22:49.165Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1394,"relation":"undefined"}],"grants":[{"id":628,"fairsharing_record_id":1736,"organisation_id":1431,"relation":"maintains","created_at":"2021-09-30T09:24:38.584Z","updated_at":"2021-09-30T09:24:38.584Z","grant_id":null,"is_lead":true,"saved_state":{"id":1431,"name":"Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Czech Republic","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1741","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:44:58.215Z","metadata":{"doi":"10.25504/FAIRsharing.w2cepp","name":"Assembling the Fungal Tree of Life","status":"deprecated","contacts":[{"contact_name":"Joseph Spatafora","contact_email":"spatafoj@science.oregonstate.edu","contact_orcid":"0000-0002-7183-1384"}],"homepage":"http://aftol.org","citations":[],"identifier":1741,"description":"The Assembling the Fungal Tree of Life (AFTOL) project is dedicated to significantly enhancing our understanding of the evolution of the Kingdom Fungi, which represents one of the major clades of life.","abbreviation":"AFTOL","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://aftol.org/howtosubmit.php","name":"submit"},{"url":"http://wasabi.lutzonilab.net/pub/blast/blastUpload","name":"BLAST"},{"url":"http://aftol.org/howtosubmit.php","name":"submit"},{"url":"http://wasabi.lutzonilab.net/pub/blast/blastUpload","name":"BLAST"}],"deprecation_date":"2021-10-04","deprecation_reason":"AFTOL has been decommissioned. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000199","bsg-d000199"],"name":"FAIRsharing record for: Assembling the Fungal Tree of Life","abbreviation":"AFTOL","url":"https://fairsharing.org/10.25504/FAIRsharing.w2cepp","doi":"10.25504/FAIRsharing.w2cepp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Assembling the Fungal Tree of Life (AFTOL) project is dedicated to significantly enhancing our understanding of the evolution of the Kingdom Fungi, which represents one of the major clades of life.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Classification"],"taxonomies":["Fungi"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1581,"pubmed_id":17486962,"title":"Assembling the Fungal Tree of Life: constructing the structural and biochemical database.","year":2007,"url":"http://doi.org/10.3852/mycologia.98.6.850","authors":"Celio GJ,Padamsee M,Dentinger BT,Bauer R,McLaughlin DJ","journal":"Mycologia","doi":"10.3852/mycologia.98.6.850","created_at":"2021-09-30T08:25:17.236Z","updated_at":"2021-09-30T08:25:17.236Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":186,"relation":"undefined"}],"grants":[{"id":637,"fairsharing_record_id":1741,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:38.846Z","updated_at":"2021-09-30T09:24:38.846Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":638,"fairsharing_record_id":1741,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:38.869Z","updated_at":"2021-09-30T09:24:38.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1742","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:36:41.387Z","metadata":{"doi":"10.25504/FAIRsharing.kn4ycg","name":"AgBase","status":"deprecated","contacts":[{"contact_name":"Fiona M. McCarthy","contact_email":"fmccarthy@cvm.msstate.edu"}],"homepage":"http://www.agbase.msstate.edu/","identifier":1742,"description":"AgBase is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products.","abbreviation":"AgBase","data_curation":{"type":"not found"},"support_links":[{"url":"agbase@hpc.msstate.edu","type":"Support email"},{"url":"http://www.agbase.msstate.edu/cgi-bin/help/index.pl","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"http://www.agbase.msstate.edu/cgi-bin/generateBlastPage.pl","name":"BLAST"},{"url":"http://www.agbase.msstate.edu/cgi-bin/tools/index.cgi","name":"AgBase Tools"}],"deprecation_date":"2021-9-17","deprecation_reason":"AgBase became Host Pathogen Interaction Database, and therefore this record has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000200","bsg-d000200"],"name":"FAIRsharing record for: AgBase","abbreviation":"AgBase","url":"https://fairsharing.org/10.25504/FAIRsharing.kn4ycg","doi":"10.25504/FAIRsharing.kn4ycg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AgBase is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11616}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Agriculture","Life Science"],"domains":["Annotation","Animal research","Gene"],"taxonomies":["Metazoa","Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":256,"pubmed_id":21075795,"title":"AgBase: supporting functional modeling in agricultural organisms.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1115","authors":"McCarthy FM., Gresham CR., Buza TJ., Chouvarine P., Pillai LR., Kumar R., Ozkan S., Wang H., Manda P., Arick T., Bridges SM., Burgess SC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1115","created_at":"2021-09-30T08:22:47.624Z","updated_at":"2021-09-30T08:22:47.624Z"}],"licence_links":[],"grants":[{"id":641,"fairsharing_record_id":1742,"organisation_id":44,"relation":"funds","created_at":"2021-09-30T09:24:38.946Z","updated_at":"2021-09-30T09:29:44.234Z","grant_id":379,"is_lead":false,"saved_state":{"id":44,"name":"Agriculture and Food Research Initiative (AFRI), National Institute of Food and Agriculture, Washington, DC, USA","grant":"MISV-329140","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":642,"fairsharing_record_id":1742,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:38.969Z","updated_at":"2021-09-30T09:30:08.255Z","grant_id":567,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"MIS-241080","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":640,"fairsharing_record_id":1742,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:38.919Z","updated_at":"2021-09-30T09:32:24.078Z","grant_id":1603,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"07111084","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7993,"fairsharing_record_id":1742,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:30:17.627Z","updated_at":"2021-09-30T09:30:17.685Z","grant_id":641,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"6402-21000-033-01S","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8415,"fairsharing_record_id":1742,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:32:32.410Z","updated_at":"2021-09-30T09:32:32.465Z","grant_id":1666,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"MIS-069270","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1743","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:37.110Z","metadata":{"doi":"10.25504/FAIRsharing.1bnhyh","name":"Databases of Orthologous Promoters","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"doop@abc.hu"}],"homepage":"http://doop.abc.hu/","identifier":1743,"description":"DoOP is a database of eukaryotic promoter sequences (upstream regions), aiming to facilitate the recognition of regulatory sites conserved between species. Based on the Arabidopsis thaliana and Homo sapiens genome annotation, this resource is also a collection of the orthologous promoter sequences from Viridiplantae and Chordata species. The database can be used to find promoter clusters of different genes as well as positions of the conserved regions and transcription start sites, which can be viewed graphically.","abbreviation":"DoOP","data_curation":{"type":"not found"},"support_links":[{"url":"http://doop.abc.hu/creation.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://doop.abc.hu/creation.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000201","bsg-d000201"],"name":"FAIRsharing record for: Databases of Orthologous Promoters","abbreviation":"DoOP","url":"https://fairsharing.org/10.25504/FAIRsharing.1bnhyh","doi":"10.25504/FAIRsharing.1bnhyh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DoOP is a database of eukaryotic promoter sequences (upstream regions), aiming to facilitate the recognition of regulatory sites conserved between species. Based on the Arabidopsis thaliana and Homo sapiens genome annotation, this resource is also a collection of the orthologous promoter sequences from Viridiplantae and Chordata species. The database can be used to find promoter clusters of different genes as well as positions of the conserved regions and transcription start sites, which can be viewed graphically.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Promoter","Orthologous"],"taxonomies":["Arabidopsis thaliana","Chordata","Homo sapiens","Viridiplantae"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":289,"pubmed_id":15608291,"title":"DoOP: Databases of Orthologous Promoters, collections of clusters of orthologous upstream sequences from chordates and plants.","year":2004,"url":"http://doi.org/10.1093/nar/gki097","authors":"Barta E., Sebestyén E., Pálfy TB., Tóth G., Ortutay CP., Patthy L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki097","created_at":"2021-09-30T08:22:51.132Z","updated_at":"2021-09-30T08:22:51.132Z"},{"id":1582,"pubmed_id":19534755,"title":"DoOPSearch: a web-based tool for finding and analysing common conserved motifs in the promoter regions of different chordate and plant genes.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-S6-S6","authors":"Sebestyen E,Nagy T,Suhai S,Barta E","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-S6-S6","created_at":"2021-09-30T08:25:17.345Z","updated_at":"2021-09-30T08:25:17.345Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":200,"relation":"undefined"}],"grants":[{"id":646,"fairsharing_record_id":1743,"organisation_id":1286,"relation":"funds","created_at":"2021-09-30T09:24:39.084Z","updated_at":"2021-09-30T09:24:39.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":1286,"name":"Hungarian Ministry of Rural Development, Hungary","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":644,"fairsharing_record_id":1743,"organisation_id":40,"relation":"maintains","created_at":"2021-09-30T09:24:39.030Z","updated_at":"2021-09-30T09:24:39.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":40,"name":"Agricultural Biotechnology Center, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":645,"fairsharing_record_id":1743,"organisation_id":1285,"relation":"funds","created_at":"2021-09-30T09:24:39.054Z","updated_at":"2021-09-30T09:24:39.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":1285,"name":"Hungarian Ministry of Agriculture, Hungary","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":647,"fairsharing_record_id":1743,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:24:39.126Z","updated_at":"2021-09-30T09:29:02.910Z","grant_id":71,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"NK72730","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8123,"fairsharing_record_id":1743,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:31:04.372Z","updated_at":"2021-09-30T09:31:04.429Z","grant_id":1003,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"NK60352","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1744","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:12.085Z","metadata":{"doi":"10.25504/FAIRsharing.6v2d2h","name":"The Arabidopsis Gene Regulatory Information Server","status":"ready","contacts":[{"contact_name":"Erich Grotewold","contact_email":"grotewold.agris@gmail.com"}],"homepage":"https://agris-knowledgebase.org/","citations":[],"identifier":1744,"description":"The Arabidopsis Gene Regulatory Information Server (AGRIS) is a information resource of Arabidopsis promoter sequences, transcription factors and their target genes. AGRIS currently contains two databases, AtcisDB (Arabidopsis thaliana cis-regulatory database) and AtTFDB (Arabidopsis thaliana transcription factor database). The two databases, used in tandem, provide a powerful tool for use in continuous research.","abbreviation":"AGRIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://agris-knowledgebase.org/AtcisDB/AtcisDBHelp.html","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000202","bsg-d000202"],"name":"FAIRsharing record for: The Arabidopsis Gene Regulatory Information Server","abbreviation":"AGRIS","url":"https://fairsharing.org/10.25504/FAIRsharing.6v2d2h","doi":"10.25504/FAIRsharing.6v2d2h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arabidopsis Gene Regulatory Information Server (AGRIS) is a information resource of Arabidopsis promoter sequences, transcription factors and their target genes. AGRIS currently contains two databases, AtcisDB (Arabidopsis thaliana cis-regulatory database) and AtTFDB (Arabidopsis thaliana transcription factor database). The two databases, used in tandem, provide a powerful tool for use in continuous research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany"],"domains":["Biological regulation","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1393,"pubmed_id":21059685,"title":"AGRIS: the Arabidopsis Gene Regulatory Information Server, an update.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1120","authors":"Yilmaz A., Mejia-Guerra MK., Kurz K., Liang X., Welch L., Grotewold E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1120","created_at":"2021-09-30T08:24:55.702Z","updated_at":"2021-09-30T08:24:55.702Z"}],"licence_links":[],"grants":[{"id":651,"fairsharing_record_id":1744,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:39.246Z","updated_at":"2021-09-30T09:32:30.395Z","grant_id":1651,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5 T32 CA106196-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":648,"fairsharing_record_id":1744,"organisation_id":2237,"relation":"maintains","created_at":"2021-09-30T09:24:39.165Z","updated_at":"2021-09-30T09:24:39.165Z","grant_id":null,"is_lead":false,"saved_state":{"id":2237,"name":"Ohio State University, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":650,"fairsharing_record_id":1744,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:39.220Z","updated_at":"2021-09-30T09:30:08.005Z","grant_id":565,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB-0418891","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1745","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T12:28:42.734Z","metadata":{"doi":"10.25504/FAIRsharing.efp5v2","name":"Animal Genome Size Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"database@genomesize.com"},{"contact_name":"T. Ryan Gregory","contact_email":"rgregory@uoguelph.ca","contact_orcid":"0000-0001-7900-7501"}],"homepage":"https://www.genomesize.com/","citations":[],"identifier":1745,"description":"A comprehensive catalogue of animal genome size data where haploid DNA contents (C-values, in picograms) are currently available for 4972 species (3231 vertebrates and 1741 non-vertebrates) based on 6518 records from 669 published sources.","abbreviation":"AGSD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.genomesize.com/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.genomesize.com/statistics.php","name":"Statistics","type":"Other"},{"url":"https://en.wikipedia.org/wiki/Animal_Genome_Size_Database","type":"Wikipedia"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012517","name":"re3data:r3d100012517","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007551","name":"SciCrunch:RRID:SCR_007551","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.genomesize.com/submit_data.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000203","bsg-d000203"],"name":"FAIRsharing record for: Animal Genome Size Database","abbreviation":"AGSD","url":"https://fairsharing.org/10.25504/FAIRsharing.efp5v2","doi":"10.25504/FAIRsharing.efp5v2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive catalogue of animal genome size data where haploid DNA contents (C-values, in picograms) are currently available for 4972 species (3231 vertebrates and 1741 non-vertebrates) based on 6518 records from 669 published sources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":607,"pubmed_id":17090588,"title":"Eukaryotic genome size databases","year":2006,"url":"http://doi.org/10.1093/nar/gkl828","authors":"Gregory TR, Nicol JA, Tamm H, Kullman B, Kullman K, Leitch IJ, Murray BG, Kapraun DF, Greilhuber J, Bennett MD.","journal":"Nucleic Acids Research 35 (Database issue): D332-D338.","doi":"10.1093/nar/gkl828","created_at":"2021-09-30T08:23:26.578Z","updated_at":"2021-09-30T08:23:26.578Z"}],"licence_links":[{"licence_name":"AGSD Academic use, No commercial use, no derivatives without permission","licence_id":21,"licence_url":"http://www.genomesize.com","link_id":2309,"relation":"undefined"}],"grants":[{"id":654,"fairsharing_record_id":1745,"organisation_id":3060,"relation":"maintains","created_at":"2021-09-30T09:24:39.325Z","updated_at":"2021-09-30T09:24:39.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":3060,"name":"University of Guelph","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":652,"fairsharing_record_id":1745,"organisation_id":229,"relation":"maintains","created_at":"2021-09-30T09:24:39.270Z","updated_at":"2024-04-17T10:54:32.192Z","grant_id":null,"is_lead":true,"saved_state":{"id":229,"name":"Biodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1746","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-17T16:58:35.159Z","metadata":{"doi":"10.25504/FAIRsharing.w6cxgb","name":"Allergome","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"allergome@allergome.org"}],"homepage":"http://www.allergome.org/","citations":[],"identifier":1746,"description":"Allergome aims to supply information on Allergenic Molecules (Allergens) causing an IgE-mediated (allergic, atopic) disease (anaphylaxis, asthma, atopic dermatitis, conjunctivitis, rhinitis, urticaria). The resource is funded through the Allergen Data Laboratories via unrestricted grants from companies and institutions.","abbreviation":"Allergome","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.allergome.org/script/help.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"http://www.allergome.org/script/search_step1.php?clear=1","name":"search"},{"url":"http://www.allergome.org/script/search_advanced_step1.php?clear=1","name":"advanced search"},{"url":"http://www.allergome.org/script/tools.php?tool=blaster","name":"BLAST"},{"url":"http://www.allergome.org/script/search_step1.php?clear=1","name":"search"},{"url":"http://www.allergome.org/script/search_advanced_step1.php?clear=1","name":"advanced search"},{"url":"http://www.allergome.org/script/tools.php?tool=blaster","name":"BLAST"}],"data_access_condition":{"url":"http://www.allergome.org/script/tools.php","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000204","bsg-d000204"],"name":"FAIRsharing record for: Allergome","abbreviation":"Allergome","url":"https://fairsharing.org/10.25504/FAIRsharing.w6cxgb","doi":"10.25504/FAIRsharing.w6cxgb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Allergome aims to supply information on Allergenic Molecules (Allergens) causing an IgE-mediated (allergic, atopic) disease (anaphylaxis, asthma, atopic dermatitis, conjunctivitis, rhinitis, urticaria). The resource is funded through the Allergen Data Laboratories via unrestricted grants from companies and institutions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Medicine","Health Science","Life Science","Biomedical Science"],"domains":["Allergen","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":286,"pubmed_id":17393720,"title":"Allergome: a unifying platform.","year":2007,"url":"https://www.ncbi.nlm.nih.gov/pubmed/17393720","authors":"Mari A., Scala E.,","journal":"Arb Paul Ehrlich Inst Bundesamt Sera Impfstoffe Frankf A M","doi":null,"created_at":"2021-09-30T08:22:50.827Z","updated_at":"2021-09-30T08:22:50.827Z"},{"id":1583,"pubmed_id":17434469,"title":"Bioinformatics applied to allergy: allergen databases, from collecting sequence information to data integration. The Allergome platform as a model.","year":2007,"url":"http://doi.org/10.1016/j.cellimm.2007.02.012","authors":"Mari A,Scala E,Palazzo P,Ridolfi S,Zennaro D,Carabella G","journal":"Cell Immunol","doi":"10.1016/j.cellimm.2007.02.012","created_at":"2021-09-30T08:25:17.453Z","updated_at":"2021-09-30T08:25:17.453Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic (CC BY-NC-SA 2.5)","licence_id":181,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.5/","link_id":180,"relation":"undefined"}],"grants":[{"id":656,"fairsharing_record_id":1746,"organisation_id":63,"relation":"maintains","created_at":"2021-09-30T09:24:39.398Z","updated_at":"2021-09-30T09:24:39.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":63,"name":"Allergy Data Laboratories s.c., Italy","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1747","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:53.573Z","metadata":{"doi":"10.25504/FAIRsharing.5gjjsg","name":"Chemical Abstracts Service Registry","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"help@cas.org"}],"homepage":"https://www.cas.org/cas-data/cas-registry","citations":[],"identifier":1747,"description":"The CAS (Chemical Abstracts Service) Registry is the CAS substance collection, and is a division of the American Chemical Society and contains databases of chemical information. CAS Registry Numbers (often referred to as CAS RNs or CAS Numbers) are universally used to provide a unique, unmistakable identifier for chemical substances. A CAS Registry Number itself has no inherent chemical significance but provides an unambiguous way to identify a chemical substance or molecular structure when there are many possible systematic, generic, proprietary or trivial names.","abbreviation":"CAS Registry","data_curation":{"url":"https://www.cas.org/cas-data","type":"manual","notes":"The CAS Content Collection is the largest human-curated collection of scientific data in the world."},"support_links":[{"url":"https://www.cas.org/contact","type":"Contact form"},{"url":"https://www.cas.org/about/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.cas.org/training/scifinder","type":"Training documentation"},{"url":"http://www.cas.org/training/stn","type":"Training documentation"},{"url":"https://twitter.com/CASChemistry","type":"Twitter"}],"year_creation":1956,"data_versioning":"not found","data_access_condition":{"url":"https://www.cas.org/about/faqs","type":"partially open","notes":"There are some databases that are open but others are not open."},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cas.org/about/faqs","type":"controlled","notes":"Our selection team of chemists determines whether a journal meets our editorial criteria for abstracting and indexing in the CAS databases."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000205","bsg-d000205"],"name":"FAIRsharing record for: Chemical Abstracts Service Registry","abbreviation":"CAS Registry","url":"https://fairsharing.org/10.25504/FAIRsharing.5gjjsg","doi":"10.25504/FAIRsharing.5gjjsg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CAS (Chemical Abstracts Service) Registry is the CAS substance collection, and is a division of the American Chemical Society and contains databases of chemical information. CAS Registry Numbers (often referred to as CAS RNs or CAS Numbers) are universally used to provide a unique, unmistakable identifier for chemical substances. A CAS Registry Number itself has no inherent chemical significance but provides an unambiguous way to identify a chemical substance or molecular structure when there are many possible systematic, generic, proprietary or trivial names.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11768}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry"],"domains":["Molecular structure","Chemical entity","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"CAS Information Use Policies","licence_id":103,"licence_url":"http://www.cas.org/legal/infopolicy","link_id":181,"relation":"undefined"}],"grants":[{"id":657,"fairsharing_record_id":1747,"organisation_id":73,"relation":"maintains","created_at":"2021-09-30T09:24:39.421Z","updated_at":"2023-04-26T11:03:20.606Z","grant_id":null,"is_lead":true,"saved_state":{"id":73,"name":"American Chemical Society, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1748","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:05.625Z","metadata":{"doi":"10.25504/FAIRsharing.jp89d1","name":"Evolutionary Annotation Database","status":"deprecated","contacts":[],"homepage":"http://www.h-invitational.jp/evola/search.html","citations":[],"identifier":1748,"description":"Evola contains ortholog information of all human genes among vertebrates. Orthologs are a pair of genes in different species that evolved from a common ancestral gene by speciation. In Evola, orthologs were detected by comparative genomics and amino acid sequence analysis (Computational analysis).","abbreviation":"Evola","data_curation":{"url":"http://www.h-invitational.jp/hinv/help/help_Evola.html","type":"manual/automated","notes":"Manual curation and computational analysis"},"support_links":[{"url":"hinvdb@ml.u-tokai.ac.jp","type":"Support email"},{"url":"http://www.h-invitational.jp/hinv/help/contents6/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.h-invitational.jp/hinv/help/help_Evola.html","name":"Help","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000206","bsg-d000206"],"name":"FAIRsharing record for: Evolutionary Annotation Database","abbreviation":"Evola","url":"https://fairsharing.org/10.25504/FAIRsharing.jp89d1","doi":"10.25504/FAIRsharing.jp89d1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Evola contains ortholog information of all human genes among vertebrates. Orthologs are a pair of genes in different species that evolved from a common ancestral gene by speciation. In Evola, orthologs were detected by comparative genomics and amino acid sequence analysis (Computational analysis).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12623}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science","Comparative Genomics"],"domains":["Amino acid sequence","Orthologous","Genome"],"taxonomies":["Homo sapiens","Vertebrata"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":275,"pubmed_id":17982176,"title":"Evola: Ortholog database of all human genes in H-InvDB with manual curation of phylogenetic trees.","year":2007,"url":"http://doi.org/10.1093/nar/gkm878","authors":"Matsuya A., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm878","created_at":"2021-09-30T08:22:49.716Z","updated_at":"2021-09-30T08:22:49.716Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":11,"relation":"undefined"}],"grants":[{"id":658,"fairsharing_record_id":1748,"organisation_id":266,"relation":"maintains","created_at":"2021-09-30T09:24:39.452Z","updated_at":"2021-09-30T09:24:39.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":266,"name":"Biomedical Informatics Laboratory, Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1754","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:10:22.274Z","metadata":{"doi":"10.25504/FAIRsharing.pcmg8s","name":"Mammalian Protein Localization Database","status":"deprecated","contacts":[{"contact_name":"Rohan Teasdale","contact_email":"r.teasdale@imb.uq.edu.au","contact_orcid":"0000-0001-7455-5269"}],"homepage":"http://locate.imb.uq.edu.au/","identifier":1754,"description":"LOCATE is a curated database that houses data describing the membrane organization and subcellular localization of proteins from the RIKEN FANTOM4 mouse and human protein sequence set.","abbreviation":"LOCATE","data_curation":{"type":"not found"},"support_links":[{"url":"http://locate.imb.uq.edu.au/faq.shtml","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://locate.imb.uq.edu.au/advsearch.shtml","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000212","bsg-d000212"],"name":"FAIRsharing record for: Mammalian Protein Localization Database","abbreviation":"LOCATE","url":"https://fairsharing.org/10.25504/FAIRsharing.pcmg8s","doi":"10.25504/FAIRsharing.pcmg8s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LOCATE is a curated database that houses data describing the membrane organization and subcellular localization of proteins from the RIKEN FANTOM4 mouse and human protein sequence set.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Curated information","Protein"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":281,"pubmed_id":17986452,"title":"LOCATE: a mammalian protein subcellular localization database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm950","authors":"Sprenger J., Lynn Fink J., Karunaratne S., Hanson K., Hamilton NA., Teasdale RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm950","created_at":"2021-09-30T08:22:50.281Z","updated_at":"2021-09-30T08:22:50.281Z"},{"id":282,"pubmed_id":16381849,"title":"LOCATE: a mouse protein subcellular localization database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj069","authors":"Fink JL., Aturaliya RN., Davis MJ., Zhang F., Hanson K., Teasdale MS., Kai C., Kawai J., Carninci P., Hayashizaki Y., Teasdale RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj069","created_at":"2021-09-30T08:22:50.416Z","updated_at":"2021-09-30T08:22:50.416Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":187,"relation":"undefined"}],"grants":[{"id":675,"fairsharing_record_id":1754,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:24:39.965Z","updated_at":"2021-09-30T09:24:39.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1755","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:04.868Z","metadata":{"doi":"10.25504/FAIRsharing.77d397","name":"Functional Coverage of the Proteome","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"cgl@imim.es"}],"homepage":"http://cgl.imim.es/fcp/","identifier":1755,"description":"FCP is a publicly accessible web tool dedicated to analysing the current state and trends on the population of available structures along the classification schemes of enzymes and nuclear receptors, offering both graphical and quantitative data on the degree of functional coverage in that portion of the proteome by existing structures, as well as on the bias observed in the distribution of those structures among proteins.","abbreviation":"FCP","data_curation":{"type":"not found"},"support_links":[{"url":"http://cgl.imim.es/fcp/help/fullHelp.htm","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000213","bsg-d000213"],"name":"FAIRsharing record for: Functional Coverage of the Proteome","abbreviation":"FCP","url":"https://fairsharing.org/10.25504/FAIRsharing.77d397","doi":"10.25504/FAIRsharing.77d397","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FCP is a publicly accessible web tool dedicated to analysing the current state and trends on the population of available structures along the classification schemes of enzymes and nuclear receptors, offering both graphical and quantitative data on the degree of functional coverage in that portion of the proteome by existing structures, as well as on the bias observed in the distribution of those structures among proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Annotation","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":550,"pubmed_id":16705012,"title":"FCP: functional coverage of the proteome by structures.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl188","authors":"García-Serna R., Opatowski L., Mestres J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl188","created_at":"2021-09-30T08:23:20.043Z","updated_at":"2021-09-30T08:23:20.043Z"}],"licence_links":[],"grants":[{"id":676,"fairsharing_record_id":1755,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:24:39.993Z","updated_at":"2021-09-30T09:30:00.770Z","grant_id":512,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"02/3051","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":677,"fairsharing_record_id":1755,"organisation_id":166,"relation":"maintains","created_at":"2021-09-30T09:24:40.026Z","updated_at":"2021-09-30T09:24:40.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":166,"name":"Barcelona Biomedical Research Park, Barcelona, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1756","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:01:42.914Z","metadata":{"doi":"10.25504/FAIRsharing.ff7n4h","name":"Drosophila polymorphism database","status":"deprecated","contacts":[{"contact_name":"Sònia Casillas","contact_email":"sonia.casillas@uab.cat","contact_orcid":"0000-0001-8191-0062"}],"homepage":"http://dpdb.uab.es/dpdb/dpdb.asp","citations":[],"identifier":1756,"description":"Drosophila Polymorphism Database, is a secondary database designed to provide a collection of all the existing polymorphic sequences in the Drosophila genus. It allows, for the first time, the search for any polymorphic set according to different parameter values of nucleotide diversity.","abbreviation":"DPD","data_curation":{"type":"manual","notes":"Presence of curators"},"support_links":[{"url":"http://dpdb.uab.es/dpdb/help.asp","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://dpdb.uab.es/dpdb/blast.asp","name":"BLAST"}],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000214","bsg-d000214"],"name":"FAIRsharing record for: Drosophila polymorphism database","abbreviation":"DPD","url":"https://fairsharing.org/10.25504/FAIRsharing.ff7n4h","doi":"10.25504/FAIRsharing.ff7n4h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Drosophila Polymorphism Database, is a secondary database designed to provide a collection of all the existing polymorphic sequences in the Drosophila genus. It allows, for the first time, the search for any polymorphic set according to different parameter values of nucleotide diversity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism","Genome"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":283,"pubmed_id":16204116,"title":"DPDB: a database for the storage, representation and analysis of polymorphism in the Drosophila genus.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti1103","authors":"Casillas S., Petit N., Barbadilla A.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti1103","created_at":"2021-09-30T08:22:50.518Z","updated_at":"2021-09-30T08:22:50.518Z"},{"id":1600,"pubmed_id":18820438,"title":"Drosophila polymorphism database (DPDB): a portal for nucleotide polymorphism in Drosophila.","year":2008,"url":"http://doi.org/10.4161/fly.5043","authors":"Casillas S,Egea R,Petit N,Bergman CM,Barbadilla A","journal":"Fly (Austin)","doi":"10.4161/fly.5043","created_at":"2021-09-30T08:25:19.386Z","updated_at":"2021-09-30T08:25:19.386Z"}],"licence_links":[],"grants":[{"id":678,"fairsharing_record_id":1756,"organisation_id":168,"relation":"maintains","created_at":"2021-09-30T09:24:40.056Z","updated_at":"2021-09-30T09:24:40.056Z","grant_id":null,"is_lead":false,"saved_state":{"id":168,"name":"Barcelona University, Barcelona, Spain","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":679,"fairsharing_record_id":1756,"organisation_id":1851,"relation":"funds","created_at":"2021-09-30T09:24:40.086Z","updated_at":"2021-09-30T09:29:36.519Z","grant_id":323,"is_lead":false,"saved_state":{"id":1851,"name":"Ministerio de Ciencia y Tecnologia, Buenos Aires, Argentina","grant":"PB98- 0900-C02-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7907,"fairsharing_record_id":1756,"organisation_id":1851,"relation":"funds","created_at":"2021-09-30T09:29:37.883Z","updated_at":"2021-09-30T09:29:37.932Z","grant_id":334,"is_lead":false,"saved_state":{"id":1851,"name":"Ministerio de Ciencia y Tecnologia, Buenos Aires, Argentina","grant":"BES-2003-0416","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8320,"fairsharing_record_id":1756,"organisation_id":1851,"relation":"funds","created_at":"2021-09-30T09:32:04.119Z","updated_at":"2021-09-30T09:32:04.178Z","grant_id":1453,"is_lead":false,"saved_state":{"id":1851,"name":"Ministerio de Ciencia y Tecnologia, Buenos Aires, Argentina","grant":"BMC2002-01708","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1757","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-07T10:07:27.763Z","metadata":{"doi":"10.25504/FAIRsharing.4eanvm","name":"Evolutionary Trace","status":"ready","contacts":[{"contact_name":"Olivier Lichtarge","contact_email":"lichtarge@bcm.tmc.edu"}],"homepage":"http://evolution.lichtargelab.org/ETviewer","citations":[],"identifier":1757,"description":"Relative evolutionary importance of amino acids within a protein sequence.","abbreviation":null,"data_curation":{"type":"none"},"support_links":[{"url":"http://evolution.lichtargelab.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mammoth.bcm.tmc.edu/traceview/HelpDocs/ETViewerManual_2.pdf","type":"Help documentation"}],"year_creation":1995,"data_versioning":"no","associated_tools":[{"url":"http://evolution.lichtargelab.org/pyetv","name":"ET Pymol plugin"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000215","bsg-d000215"],"name":"FAIRsharing record for: Evolutionary Trace","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4eanvm","doi":"10.25504/FAIRsharing.4eanvm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Relative evolutionary importance of amino acids within a protein sequence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Evolution","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":280,"pubmed_id":22183528,"title":"Evolutionary trace for prediction and redesign of protein functional sites.","year":2011,"url":"http://doi.org/10.1007/978-1-61779-465-0_3","authors":"Wilkins A., Erdin S., Lua R., Lichtarge O.,","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-61779-465-0_3","created_at":"2021-09-30T08:22:50.191Z","updated_at":"2021-09-30T08:22:50.191Z"}],"licence_links":[],"grants":[{"id":680,"fairsharing_record_id":1757,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:24:40.128Z","updated_at":"2021-09-30T09:24:40.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":681,"fairsharing_record_id":1757,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:40.170Z","updated_at":"2021-09-30T09:29:50.945Z","grant_id":433,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"CCF-0905536","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":682,"fairsharing_record_id":1757,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:40.211Z","updated_at":"2021-09-30T09:29:27.437Z","grant_id":258,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NIH-GM066099","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8080,"fairsharing_record_id":1757,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:49.103Z","updated_at":"2021-09-30T09:30:49.155Z","grant_id":885,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM079656","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1758","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:55.049Z","metadata":{"doi":"10.25504/FAIRsharing.6e05x2","name":"Gene Disruption Project Database","status":"ready","contacts":[{"contact_name":"Karen Schulze","contact_email":"kschulze@bcm.edu"}],"homepage":"http://flypush.imgen.bcm.tmc.edu/pscreen/","identifier":1758,"description":"The GDP Database provides a public resource of gene disruptions of Drosophila genes using a single transposable element.","abbreviation":"GDP Database","data_curation":{"type":"manual","notes":"Information was curated by group of researchers from Carnegie Institution for Science and Spradling lab."},"support_links":[{"url":"http://flypush.imgen.bcm.tmc.edu/pscreen/about.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled","notes":"The web database and strain requests are being handled by Guang Lin in the Bellen lab."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000216","bsg-d000216"],"name":"FAIRsharing record for: Gene Disruption Project Database","abbreviation":"GDP Database","url":"https://fairsharing.org/10.25504/FAIRsharing.6e05x2","doi":"10.25504/FAIRsharing.6e05x2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GDP Database provides a public resource of gene disruptions of Drosophila genes using a single transposable element.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Transposable element","Gene"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":325,"pubmed_id":15238527,"title":"The BDGP gene disruption project: single transposon insertions associated with 40% of Drosophila genes.","year":2004,"url":"http://doi.org/10.1534/genetics.104.026427","authors":"Bellen HJ., Levis RW., Liao G., He Y., Carlson JW., Tsang G., Evans-Holm M., Hiesinger PR., Schulze KL., Rubin GM., Hoskins RA., Spradling AC.,","journal":"Genetics","doi":"10.1534/genetics.104.026427","created_at":"2021-09-30T08:22:54.890Z","updated_at":"2021-09-30T08:22:54.890Z"},{"id":349,"pubmed_id":21515576,"title":"The Drosophila gene disruption project: progress using transposons with distinctive site specificities.","year":2011,"url":"http://doi.org/10.1534/genetics.111.126995","authors":"Bellen HJ,Levis RW,He Y,Carlson JW,Evans-Holm M,Bae E,Kim J,Metaxakis A,Savakis C,Schulze KL,Hoskins RA,Spradling AC","journal":"Genetics","doi":"10.1534/genetics.111.126995","created_at":"2021-09-30T08:22:57.574Z","updated_at":"2021-09-30T08:22:57.574Z"},{"id":373,"pubmed_id":21985007,"title":"MiMIC: a highly versatile transposon insertion resource for engineering Drosophila melanogaster genes.","year":2011,"url":"http://doi.org/10.1038/nmeth.1662","authors":"Venken KJ,Schulze KL,Haelterman NA,Pan H,He Y,Evans-Holm M,Carlson JW,Levis RW,Spradling AC,Hoskins RA,Bellen HJ","journal":"Nat Methods","doi":"10.1038/nmeth.1662","created_at":"2021-09-30T08:23:00.100Z","updated_at":"2021-09-30T08:23:00.100Z"},{"id":376,"pubmed_id":25824290,"title":"A library of MiMICs allows tagging of genes and reversible, spatial and temporal knockdown of proteins in Drosophila.","year":2015,"url":"http://doi.org/10.7554/eLife.05338","authors":"Nagarkar-Jaiswal S,Lee PT,Campbell ME,Chen K,Anguiano-Zarate S,Gutierrez MC,Busby T,Lin WW,He Y,Schulze KL,Booth BW,Evans-Holm M,Venken KJ,Levis RW,Spradling AC,Hoskins RA,Bellen HJ","journal":"Elife","doi":"10.7554/eLife.05338","created_at":"2021-09-30T08:23:00.409Z","updated_at":"2021-09-30T08:23:00.409Z"},{"id":400,"pubmed_id":26102525,"title":"A genetic toolkit for tagging intronic MiMIC containing genes.","year":2015,"url":"http://doi.org/10.7554/eLife.08469","authors":"Nagarkar-Jaiswal S,DeLuca SZ,Lee PT,Lin WW,Pan H,Zuo Z,Lv J,Spradling AC,Bellen HJ","journal":"Elife","doi":"10.7554/eLife.08469","created_at":"2021-09-30T08:23:03.481Z","updated_at":"2021-09-30T08:23:03.481Z"}],"licence_links":[],"grants":[{"id":683,"fairsharing_record_id":1758,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:40.252Z","updated_at":"2021-09-30T09:31:12.268Z","grant_id":1062,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"2R01 GM067858","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":685,"fairsharing_record_id":1758,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:24:40.328Z","updated_at":"2021-09-30T09:24:40.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":684,"fairsharing_record_id":1758,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:40.291Z","updated_at":"2021-09-30T09:29:15.618Z","grant_id":163,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM067858","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1759","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:32:48.492Z","metadata":{"doi":"10.25504/FAIRsharing.svkzq3","name":"Non-Redundant B.subtilis database","status":"deprecated","contacts":[{"contact_email":"perriere@biomserv.univ-lyon1.fr"}],"homepage":"http://pbil.univ-lyon1.fr/nrsub/nrsub.html","citations":[],"identifier":1759,"description":"This server allows to access the complete genome of Bacillus subtilis. Additional data on gene mapping and codon usage have been added, as well as cross-references with the SWISS-PROT, ENZYME and HOBACGEN databases.","abbreviation":"NRSub","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://pbil.univ-lyon1.fr/search/query_fam.php","name":"search"},{"url":"http://pbil.univ-lyon1.fr/search/query_fam.php","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000217","bsg-d000217"],"name":"FAIRsharing record for: Non-Redundant B.subtilis database","abbreviation":"NRSub","url":"https://fairsharing.org/10.25504/FAIRsharing.svkzq3","doi":"10.25504/FAIRsharing.svkzq3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This server allows to access the complete genome of Bacillus subtilis. Additional data on gene mapping and codon usage have been added, as well as cross-references with the SWISS-PROT, ENZYME and HOBACGEN databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Gene","Genome"],"taxonomies":["Bacillus subtilis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":273,"pubmed_id":9399801,"title":"The non-redundant Bacillus subtilis (NRSub) database: update 1998.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.60","authors":"Perrière G., Gouy M., Gojobori T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/26.1.60","created_at":"2021-09-30T08:22:49.524Z","updated_at":"2021-09-30T08:22:49.524Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1749","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:56.416Z","metadata":{"doi":"10.25504/FAIRsharing.yk38tw","name":"AntWeb","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"antweb@calacademy.org"}],"homepage":"http://www.antweb.org","identifier":1749,"description":"AntWeb is a website documenting the known species of ants, with records for each species linked to their geographical distribution, life history, and includes pictures.","abbreviation":"AntWeb","data_curation":{"url":"https://www.antweb.org/curators.do?sortBy=specimenUploadCount","type":"manual"},"support_links":[{"url":"http://www.antweb.org/antblog/","type":"Blog/News"},{"url":"http://www.antweb.org/user_guide.jsp","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.antweb.org/documentation.do","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000207","bsg-d000207"],"name":"FAIRsharing record for: AntWeb","abbreviation":"AntWeb","url":"https://fairsharing.org/10.25504/FAIRsharing.yk38tw","doi":"10.25504/FAIRsharing.yk38tw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AntWeb is a website documenting the known species of ants, with records for each species linked to their geographical distribution, life history, and includes pictures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Life Science"],"domains":["Image","Classification"],"taxonomies":["Formicidae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":294,"pubmed_id":12867945,"title":"Ants join online colony to boost conservation efforts.","year":2003,"url":"http://doi.org/10.1038/424242b","authors":"Dalton R.,","journal":"Nature","doi":"10.1038/424242b","created_at":"2021-09-30T08:22:51.642Z","updated_at":"2021-09-30T08:22:51.642Z"}],"licence_links":[{"licence_name":"California Academy of Sciences Terms and Conditions of Use","licence_id":90,"licence_url":"https://www.calacademy.org/terms-of-use","link_id":184,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":336,"relation":"undefined"}],"grants":[{"id":659,"fairsharing_record_id":1749,"organisation_id":338,"relation":"maintains","created_at":"2021-09-30T09:24:39.494Z","updated_at":"2021-09-30T09:24:39.494Z","grant_id":null,"is_lead":false,"saved_state":{"id":338,"name":"California Academy of Sciences, San Francisco, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8141,"fairsharing_record_id":1749,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:10.247Z","updated_at":"2021-09-30T09:31:10.306Z","grant_id":1050,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EF-0431330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8291,"fairsharing_record_id":1749,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:55.999Z","updated_at":"2021-09-30T09:31:56.057Z","grant_id":1393,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-0842395","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":660,"fairsharing_record_id":1749,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:39.533Z","updated_at":"2021-09-30T09:29:20.528Z","grant_id":203,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-034473","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1750","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:22:26.932Z","metadata":{"doi":"10.25504/FAIRsharing.qqc7zw","name":"DNASU Plasmid Repository","status":"ready","contacts":[{"contact_name":"Joshua LaBaer","contact_email":"jlabaer@asu.edu","contact_orcid":"0000-0001-5788-9697"}],"homepage":"http://dnasu.org/DNASU/Home.do","identifier":1750,"description":"DNASU is a central repository for plasmid clones and collections. Currently we store and distribute over 197,000 plasmids including 75,000 human and mouse plasmids, full genome collections, the protein expression plasmids from the Protein Structure Initiative as the PSI: Biology Material Repository (PSI : Biology-MR), and both small and large collections from individual researchers. We are also a founding member and distributor of the ORFeome Collaboration plasmid collection.","abbreviation":null,"data_curation":{"url":"https://dnasu.org/DNASU/Submission.jsp","type":"manual"},"support_links":[{"url":"dnasuhelp@asu.edu","type":"Support email"},{"url":"http://dnasu.org/DNASU/FAQ.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/DNASUPlasmids","type":"Twitter"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"http://dnasu.org/DNASU/SearchOptions.do?tab=4","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012354","name":"re3data:r3d100012354","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012185","name":"SciCrunch:RRID:SCR_012185","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dnasu.org/DNASU/Submission.jsp","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000208","bsg-d000208"],"name":"FAIRsharing record for: DNASU Plasmid Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qqc7zw","doi":"10.25504/FAIRsharing.qqc7zw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DNASU is a central repository for plasmid clones and collections. Currently we store and distribute over 197,000 plasmids including 75,000 human and mouse plasmids, full genome collections, the protein expression plasmids from the Protein Structure Initiative as the PSI: Biology Material Repository (PSI : Biology-MR), and both small and large collections from individual researchers. We are also a founding member and distributor of the ORFeome Collaboration plasmid collection.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Clone library","Deoxyribonucleic acid","Plasmid","Genome"],"taxonomies":["Archaea","Bacteria","Eukaryota","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":277,"pubmed_id":21360289,"title":"PSI:Biology-materials repository: a biologist's resource for protein expression plasmids.","year":2011,"url":"http://doi.org/10.1007/s10969-011-9100-8","authors":"Cormier CY., Park JG., Fiacco M., Steel J., Hunter P., Kramer J., Singla R., LaBaer J.,","journal":"J. Struct. Funct. Genomics","doi":"10.1007/s10969-011-9100-8","created_at":"2021-09-30T08:22:49.898Z","updated_at":"2021-09-30T08:22:49.898Z"},{"id":598,"pubmed_id":19906724,"title":"Protein Structure Initiative Material Repository: an open shared public resource of structural genomics plasmids for the biological community.","year":2009,"url":"http://doi.org/10.1093/nar/gkp999","authors":"Cormier CY, Mohr SE, Zuo D, Hu Y, Rolfs A, Kramer J, Taycher E, Kelley F, Fiacco M, Turnbull G, LaBaer J.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp999","created_at":"2021-09-30T08:23:25.582Z","updated_at":"2021-09-30T11:28:47.973Z"}],"licence_links":[],"grants":[{"id":665,"fairsharing_record_id":1750,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:39.704Z","updated_at":"2021-09-30T09:29:51.155Z","grant_id":435,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5P30 CA06516-06","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":661,"fairsharing_record_id":1750,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:24:39.571Z","updated_at":"2021-09-30T09:24:39.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":664,"fairsharing_record_id":1750,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:24:39.669Z","updated_at":"2021-09-30T09:24:39.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":663,"fairsharing_record_id":1750,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:39.627Z","updated_at":"2021-09-30T09:30:00.419Z","grant_id":509,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN2332200400053C/N01-A1-40053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":662,"fairsharing_record_id":1750,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:39.596Z","updated_at":"2021-09-30T09:30:01.563Z","grant_id":519,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U01 GM079617","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1751","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-21T09:58:52.988Z","metadata":{"doi":"10.25504/FAIRsharing.fqcrpt","name":"Telomerase Database","status":"ready","contacts":[{"contact_name":"Julian J-L Chen","contact_email":"JLChen@asu.edu","contact_orcid":"0000-0002-7253-2722"}],"homepage":"http://telomerase.asu.edu","citations":[{"doi":"10.1093/nar/gkm700","pubmed_id":18073191,"publication_id":287}],"identifier":1751,"description":"The Telomerase Database is a Web-based tool for the study of structure, function, and evolution of the telomerase ribonucleoprotein. The objective of this database is to serve the research community by providing a comprehensive compilation of information known about telomerase enzyme and its substrate, telomeres.","abbreviation":null,"data_curation":{"type":"manual/automated","notes":"A standard nomenclature is used throughout the online database for consistency and clarity."},"support_links":[{"url":"http://telomerase.asu.edu/overview.html","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","data_access_condition":{"type":"open","notes":"Available information on the component, the RNA or amino acid sequence, the genbank accession number, and a link to the record at the NCBI."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000209","bsg-d000209"],"name":"FAIRsharing record for: Telomerase Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fqcrpt","doi":"10.25504/FAIRsharing.fqcrpt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Telomerase Database is a Web-based tool for the study of structure, function, and evolution of the telomerase ribonucleoprotein. The objective of this database is to serve the research community by providing a comprehensive compilation of information known about telomerase enzyme and its substrate, telomeres.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Small molecule","Enzyme","Disease","Structure","Protein"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":287,"pubmed_id":18073191,"title":"The telomerase database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm700","authors":"Podlevsky JD., Bley CJ., Omana RV., Qi X., Chen JJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm700","created_at":"2021-09-30T08:22:50.933Z","updated_at":"2021-09-30T08:22:50.933Z"}],"licence_links":[],"grants":[{"id":667,"fairsharing_record_id":1751,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:24:39.754Z","updated_at":"2023-09-20T15:32:35.139Z","grant_id":null,"is_lead":true,"saved_state":{"id":114,"name":"Arizona State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":666,"fairsharing_record_id":1751,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:39.730Z","updated_at":"2021-09-30T09:32:25.055Z","grant_id":1610,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"MCB0642857","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1737","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-06T08:15:16.451Z","metadata":{"doi":"10.25504/FAIRsharing.2h8cxh","name":"autoSNPdb","status":"deprecated","contacts":[{"contact_name":"David Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://autosnpdb.appliedbioinformatics.com.au","citations":[],"identifier":1737,"description":"Implemented the SNP discovery software autoSNP within a relational database to enable the efficient mining of the identified polymorphisms and the detailed interrogation of the data. AutoSNP was selected because it does not require sequence trace files and is thus applicable to a broader range of species and datasets.","abbreviation":"autoSNPdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://autosnpdb.appliedbioinformatics.com.au/faq.htm","type":"Frequently Asked Questions (FAQs)"},{"url":"http://autosnpdb.appliedbioinformatics.com.au/help.htm","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://autosnpdb.appliedbioinformatics.com.au/BLASTsearch.jsp?species=barley","name":"BLAST"}],"deprecation_date":"2023-04-05","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000194","bsg-d000194"],"name":"FAIRsharing record for: autoSNPdb","abbreviation":"autoSNPdb","url":"https://fairsharing.org/10.25504/FAIRsharing.2h8cxh","doi":"10.25504/FAIRsharing.2h8cxh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Implemented the SNP discovery software autoSNP within a relational database to enable the efficient mining of the identified polymorphisms and the detailed interrogation of the data. AutoSNP was selected because it does not require sequence trace files and is thus applicable to a broader range of species and datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Single nucleotide polymorphism","Gene"],"taxonomies":["Brassica","Hordeum vulgare","Oryza sativa","Triticum"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":255,"pubmed_id":18854357,"title":"AutoSNPdb: an annotated single nucleotide polymorphism database for crop plants.","year":2008,"url":"http://doi.org/10.1093/nar/gkn650","authors":"Duran C., Appleby N., Clark T., Wood D., Imelfort M., Batley J., Edwards D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn650","created_at":"2021-09-30T08:22:47.531Z","updated_at":"2021-09-30T08:22:47.531Z"}],"licence_links":[{"licence_name":"autoSNPdb Acknowledgements, Requirements and Disclaimer","licence_id":51,"licence_url":"http://autosnpdb.appliedbioinformatics.com.au/ackDis.html","link_id":173,"relation":"undefined"}],"grants":[{"id":629,"fairsharing_record_id":1737,"organisation_id":137,"relation":"maintains","created_at":"2021-09-30T09:24:38.628Z","updated_at":"2021-09-30T09:24:38.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":137,"name":"Australian Centre For Plant Functional Genomics (ACPFG), Australia","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1738","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:37.008Z","metadata":{"doi":"10.25504/FAIRsharing.8hcczk","name":"Addgene","status":"ready","contacts":[{"contact_name":"General Contact Email","contact_email":"info@addgene.org"}],"homepage":"http://www.addgene.org/","identifier":1738,"description":"Addgene is a non-profit plasmid repository dedicated to helping scientists around the world share high-quality plasmids. Addgene are working with thousands of laboratories to assemble a high-quality library of published plasmids for use in research and discovery. By linking plasmids with articles, scientists can always find data related to the materials they request.","abbreviation":"Addgene","data_curation":{"url":"https://blog.addgene.org/how-to-deposit-your-plasmids-with-addgene?_gl=1*3zcwc9*_ga*MTk3NDU5ODQ2NC4xNjk4OTIwNTEz*_ga_5SC3L963MZ*MTY5ODkyMDUxMi4xLjEuMTY5ODkyMDc1NC4xOS4wLjA.","type":"manual","notes":"All received plasmids undergo a quality control process to verify their key features."},"support_links":[{"url":"https://blog.addgene.org/","name":"Addgene blog","type":"Blog/News"},{"url":"https://www.addgene.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"help@addgene.org","name":"Help Email","type":"Support email"},{"url":"https://help.addgene.org/hc/en-us","name":"Help Center","type":"Help documentation"},{"url":"https://www.addgene.org/ordering/","name":"Ordering Help","type":"Help documentation"},{"url":"https://twitter.com/Addgene","name":"@Addgene","type":"Twitter"}],"year_creation":2004,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010741","name":"re3data:r3d100010741","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002037","name":"SciCrunch:RRID:SCR_002037","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://blog.addgene.org/how-to-deposit-your-plasmids-with-addgene?_gl=1*3zcwc9*_ga*MTk3NDU5ODQ2NC4xNjk4OTIwNTEz*_ga_5SC3L963MZ*MTY5ODkyMDUxMi4xLjEuMTY5ODkyMDc1NC4xOS4wLjA.","type":"open","notes":"Free login is required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000196","bsg-d000196"],"name":"FAIRsharing record for: Addgene","abbreviation":"Addgene","url":"https://fairsharing.org/10.25504/FAIRsharing.8hcczk","doi":"10.25504/FAIRsharing.8hcczk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Addgene is a non-profit plasmid repository dedicated to helping scientists around the world share high-quality plasmids. Addgene are working with thousands of laboratories to assemble a high-quality library of published plasmids for use in research and discovery. By linking plasmids with articles, scientists can always find data related to the materials they request.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10935},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11288}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bibliography","Deoxyribonucleic acid","Plasmid"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom","United States"],"publications":[{"id":269,"pubmed_id":22491276,"title":"Addgene provides an open forum for plasmid sharing.","year":2012,"url":"http://doi.org/10.1038/nbt.2177","authors":"Herscovitch M., Perkins E., Baltus A., Fan M.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt.2177","created_at":"2021-09-30T08:22:49.066Z","updated_at":"2021-09-30T08:22:49.066Z"},{"id":667,"pubmed_id":null,"title":"Repositories share key research tools","year":2014,"url":"http://doi.org/10.1038/505272a","authors":"Monya Baker","journal":"Nature","doi":"10.1038/505272a","created_at":"2021-09-30T08:23:33.618Z","updated_at":"2021-09-30T08:23:33.618Z"},{"id":673,"pubmed_id":null,"title":"Sharing Made Easy","year":2012,"url":"https://www.the-scientist.com/bio-business/sharing-made-easy-40517","authors":"Megan Scudellari","journal":"The Scientist","doi":null,"created_at":"2021-09-30T08:23:34.235Z","updated_at":"2021-09-30T11:28:29.929Z"},{"id":926,"pubmed_id":25392412,"title":"The Addgene repository: an international nonprofit plasmid and data resource","year":2014,"url":"http://doi.org/10.1093/nar/gku893","authors":"Joanne Kamens","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku893","created_at":"2021-09-30T08:24:02.406Z","updated_at":"2021-09-30T08:24:02.406Z"}],"licence_links":[{"licence_name":"Addgene Technology Transfer agreement","licence_id":7,"licence_url":"http://www.addgene.org/techtransfer/","link_id":823,"relation":"undefined"},{"licence_name":"Addgene Terms of Use","licence_id":8,"licence_url":"https://www.addgene.org/terms-of-use/","link_id":838,"relation":"undefined"}],"grants":[{"id":630,"fairsharing_record_id":1738,"organisation_id":23,"relation":"maintains","created_at":"2021-09-30T09:24:38.659Z","updated_at":"2021-09-30T09:24:38.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":23,"name":"Addgene","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":631,"fairsharing_record_id":1738,"organisation_id":23,"relation":"funds","created_at":"2021-09-30T09:24:38.695Z","updated_at":"2021-09-30T09:24:38.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":23,"name":"Addgene","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1739","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:03.044Z","metadata":{"doi":"10.25504/FAIRsharing.zzgvrv","name":"RNAJunction","status":"ready","contacts":[{"contact_name":"Bruce Shapiro","contact_email":"bshapiro@ncifcrf.gov"},{"contact_name":"Voytek Kasprzak","contact_email":"kasprzaw@mail.nih.gov","contact_orcid":null}],"homepage":"https://rnastructure.cancer.gov/rnajunction/","citations":[],"identifier":1739,"description":"RNAJunction is a database of RNA junctions and kissing loop structures. It contains structure and sequence information for RNA structural elements such as helical junctions, internal loops, bulges and loop–loop interactions. It allows searching by PDB code, structural classification, sequence, keyword or inter-helix angles. RNAJunction is designed to aid analysis of RNA structures as well as design of novel RNA structures on a nanoscale. ","abbreviation":"RNAJunction","data_curation":{"type":"manual"},"support_links":[{"url":"https://rnastructure.cancer.gov/rnajunction/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://rnastructure.cancer.gov/rnajunction/help.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{"name":"No information found"},"data_contact_information":"yes","data_preservation_policy":{"name":"No information found"},"data_deposition_condition":{"type":"controlled","notes":"Data have been gathered and extracted by one group of researchers and uploaded to this site for use by others."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000197","bsg-d000197"],"name":"FAIRsharing record for: RNAJunction","abbreviation":"RNAJunction","url":"https://fairsharing.org/10.25504/FAIRsharing.zzgvrv","doi":"10.25504/FAIRsharing.zzgvrv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAJunction is a database of RNA junctions and kissing loop structures. It contains structure and sequence information for RNA structural elements such as helical junctions, internal loops, bulges and loop–loop interactions. It allows searching by PDB code, structural classification, sequence, keyword or inter-helix angles. RNAJunction is designed to aid analysis of RNA structures as well as design of novel RNA structures on a nanoscale. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Ribonucleic acid","Structure","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":299,"pubmed_id":17947325,"title":"RNAJunction: a database of RNA junctions and kissing loops for three-dimensional structural analysis and nanodesign.","year":2007,"url":"http://doi.org/10.1093/nar/gkm842","authors":"Bindewald E., Hayes R., Yingling YG., Kasprzak W., Shapiro BA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm842","created_at":"2021-09-30T08:22:52.216Z","updated_at":"2021-09-30T08:22:52.216Z"}],"licence_links":[],"grants":[{"id":633,"fairsharing_record_id":1739,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:24:38.746Z","updated_at":"2021-09-30T09:24:38.746Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9388,"fairsharing_record_id":1739,"organisation_id":1955,"relation":"maintains","created_at":"2022-04-11T12:07:35.033Z","updated_at":"2022-04-11T12:07:35.033Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1740","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:07.031Z","metadata":{"doi":"10.25504/FAIRsharing.2sqcxs","name":"Nottingham Arabidopsis Stock Centre Seeds Database","status":"ready","contacts":[{"contact_name":"Sean May","contact_email":"sean@arabidopsis.org.uk","contact_orcid":"0000-0001-5282-3250"}],"homepage":"http://arabidopsis.info","identifier":1740,"description":"The Nottingham Arabidopsis Stock Centre (NASC) provides seed and information resources to the International Arabidopsis Genome Programme and the wider research community.","abbreviation":"NASC","data_curation":{"type":"manual"},"support_links":[{"url":"http://arabidopsis.info/InfoPages?template=ask_a_question;web_section=germplasm","type":"Contact form"},{"url":"bioinfo@arabidopsis.org.uk","type":"Support email"},{"url":"http://arabidopsis.info/InfoPages?template=orderfaq;web_section=germplasm","type":"Frequently Asked Questions (FAQs)"},{"url":"http://arabidopsis.info/InfoPages?template=help","type":"Help documentation"},{"url":"https://twitter.com/NascArabidopsis","type":"Twitter"}],"year_creation":1991,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010906","name":"re3data:r3d100010906","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004576","name":"SciCrunch:RRID:SCR_004576","portal":"SciCrunch"}],"data_access_condition":{"url":"https://arabidopsis.info/InfoPages?template=about_nasc;web_section=arabidopsis","type":"open","notes":"Catalog of seeds can be purchased"},"data_contact_information":"no","data_deposition_condition":{"url":"https://arabidopsis.info/InfoPages?template=donation_info;web_section=germplasm","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000198","bsg-d000198"],"name":"FAIRsharing record for: Nottingham Arabidopsis Stock Centre Seeds Database","abbreviation":"NASC","url":"https://fairsharing.org/10.25504/FAIRsharing.2sqcxs","doi":"10.25504/FAIRsharing.2sqcxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nottingham Arabidopsis Stock Centre (NASC) provides seed and information resources to the International Arabidopsis Genome Programme and the wider research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Insertion sequence","Genome"],"taxonomies":["Arabidopsis thaliana","Brassica"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":257,"pubmed_id":14681484,"title":"NASCArrays: a repository for microarray data generated by NASC's transcriptomics service.","year":2003,"url":"http://doi.org/10.1093/nar/gkh133","authors":"Craigon DJ., James N., Okyere J., Higgins J., Jotham J., May S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh133","created_at":"2021-09-30T08:22:47.782Z","updated_at":"2021-09-30T08:22:47.782Z"}],"licence_links":[],"grants":[{"id":634,"fairsharing_record_id":1740,"organisation_id":2848,"relation":"undefined","created_at":"2021-09-30T09:24:38.769Z","updated_at":"2021-09-30T09:24:38.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":2848,"name":"The University of Nottingham, UK","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":635,"fairsharing_record_id":1740,"organisation_id":2193,"relation":"maintains","created_at":"2021-09-30T09:24:38.796Z","updated_at":"2021-09-30T09:24:38.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":2193,"name":"Nottingham Arabidopsis Stock Centre (NASC), Loughborough, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":636,"fairsharing_record_id":1740,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:38.819Z","updated_at":"2021-09-30T09:29:07.952Z","grant_id":107,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L010100/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1722","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:27.861Z","metadata":{"doi":"10.25504/FAIRsharing.f5xs6m","name":"BloodSpot","status":"ready","contacts":[{"contact_name":"Nicolas Rapin","contact_email":"nicolas.rapin@finsenlab.dk"}],"homepage":"http://www.bloodspot.eu","identifier":1722,"description":"BloodSpot is a database of mRNA expression in healthy and malignant haematopoiesis and includes data from both humans and mice. The core function of BloodSpot is to provide an expression plot of genes in healthy and cancerous haematopoietic cells at specific differentiation stages. In addition to the default plot, that displays an integrated expression plot, two additional levels of visualization are available; an interactive tree showing the hierarchical relationship between the samples, and a Kaplan-Meier survival plot. Prior to BloodSpot, this service was provided by an earlier project, HemaExplorer, also by the same research group. HemaExplorer was updated to the BloodSpot platform, which all users are encouraged to use instead.","abbreviation":"BloodSpot","data_curation":{"url":"https://www.bloodspot.eu/","type":"automated"},"support_links":[{"url":"http://servers.binf.ku.dk/bloodspot/php/help.php","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000179","bsg-d000179"],"name":"FAIRsharing record for: BloodSpot","abbreviation":"BloodSpot","url":"https://fairsharing.org/10.25504/FAIRsharing.f5xs6m","doi":"10.25504/FAIRsharing.f5xs6m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BloodSpot is a database of mRNA expression in healthy and malignant haematopoiesis and includes data from both humans and mice. The core function of BloodSpot is to provide an expression plot of genes in healthy and cancerous haematopoietic cells at specific differentiation stages. In addition to the default plot, that displays an integrated expression plot, two additional levels of visualization are available; an interactive tree showing the hierarchical relationship between the samples, and a Kaplan-Meier survival plot. Prior to BloodSpot, this service was provided by an earlier project, HemaExplorer, also by the same research group. HemaExplorer was updated to the BloodSpot platform, which all users are encouraged to use instead.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12620}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Developmental Biology","Life Science"],"domains":["Expression data","Cancer","Hematopoiesis","Messenger RNA","Gene","Blood"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":36,"pubmed_id":26507857,"title":"BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1101","authors":"Bagger FO,Sasivarevic D,Sohi SH,Laursen LG,Pundhir S,Sonderby CK,Winther O,Rapin N,Porse BT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1101","created_at":"2021-09-30T08:22:24.177Z","updated_at":"2021-09-30T11:28:41.666Z"},{"id":564,"pubmed_id":22745298,"title":"HemaExplorer: a Web server for easy and fast visualization of gene expression in normal and malignant hematopoiesis.","year":2012,"url":"http://doi.org/10.1182/blood-2012-05-427310","authors":"Bagger FO,Rapin N,Theilgaard-Monch K,Kaczkowski B,Jendholm J,Winther O,Porse B","journal":"Blood","doi":"10.1182/blood-2012-05-427310","created_at":"2021-09-30T08:23:21.676Z","updated_at":"2021-09-30T08:23:21.676Z"},{"id":593,"pubmed_id":23143109,"title":"HemaExplorer: a database of mRNA expression profiles in normal and malignant haematopoiesis.","year":2012,"url":"http://doi.org/10.1093/nar/gks1021","authors":"Bagger FO,Rapin N,Theilgaard-Monch K,Kaczkowski B,Thoren LA,Jendholm J,Winther O,Porse BT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1021","created_at":"2021-09-30T08:23:25.066Z","updated_at":"2021-09-30T11:28:47.825Z"}],"licence_links":[],"grants":[{"id":583,"fairsharing_record_id":1722,"organisation_id":2197,"relation":"funds","created_at":"2021-09-30T09:24:36.954Z","updated_at":"2021-09-30T09:24:36.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":2197,"name":"Novo Nordisk Foundation, Denmark","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":581,"fairsharing_record_id":1722,"organisation_id":241,"relation":"maintains","created_at":"2021-09-30T09:24:36.900Z","updated_at":"2021-09-30T09:24:36.900Z","grant_id":null,"is_lead":false,"saved_state":{"id":241,"name":"Bioinformatics Centre, University of Copenhagen, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":584,"fairsharing_record_id":1722,"organisation_id":640,"relation":"maintains","created_at":"2021-09-30T09:24:36.985Z","updated_at":"2021-09-30T09:24:36.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":640,"name":"Danish State Hospital, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":585,"fairsharing_record_id":1722,"organisation_id":1015,"relation":"maintains","created_at":"2021-09-30T09:24:37.019Z","updated_at":"2021-09-30T09:24:37.019Z","grant_id":null,"is_lead":false,"saved_state":{"id":1015,"name":"Finsen Laboratory, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":586,"fairsharing_record_id":1722,"organisation_id":279,"relation":"maintains","created_at":"2021-09-30T09:24:37.042Z","updated_at":"2021-09-30T09:24:37.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":279,"name":"Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":582,"fairsharing_record_id":1722,"organisation_id":639,"relation":"funds","created_at":"2021-09-30T09:24:36.926Z","updated_at":"2021-09-30T09:28:59.534Z","grant_id":45,"is_lead":false,"saved_state":{"id":639,"name":"Danish Research Council for Strategic Research, Denmark","grant":"09-065157","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8399,"fairsharing_record_id":1722,"organisation_id":639,"relation":"funds","created_at":"2021-09-30T09:32:27.676Z","updated_at":"2021-09-30T09:32:27.729Z","grant_id":1630,"is_lead":false,"saved_state":{"id":639,"name":"Danish Research Council for Strategic Research, Denmark","grant":"10-092798","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1723","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:20.577Z","metadata":{"doi":"10.25504/FAIRsharing.8t18te","name":"Cell Image Library","status":"ready","contacts":[{"contact_name":"David Orloff","contact_email":"dorloff@ncmir.ucsd.edu"}],"homepage":"http://www.cellimagelibrary.org","citations":[],"identifier":1723,"description":"This library is a public and easily accessible resource database of images, videos, and animations of cells, capturing a wide diversity of organisms, cell types, and cellular processes. The purpose of this database is to advance research on cellular activity, with the ultimate goal of improving human health. It is a repository for images, movies, and animations of cells from a variety of organisms that demonstrate cellular architecture and functions. This comprehensive library is designed as a public resource first and foremost for research, and secondarily as a tool for education. The long-term goal is the construction of a library of images that will serve as primary data for research.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cellimagelibrary.org/pages/help#faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.cellimagelibrary.org/pages/help","name":"Help Pages","type":"Help documentation"},{"url":"http://www.cellimagelibrary.org/pages/about","name":"http://www.cellimagelibrary.org/pages/about","type":"Help documentation"},{"url":"https://twitter.com/CellImageLibrar","name":"@CellImageLibrar","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000023","name":"re3data:r3d100000023","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003510","name":"SciCrunch:RRID:SCR_003510","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.cellimagelibrary.org/pages/contribute","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000180","bsg-d000180"],"name":"FAIRsharing record for: Cell Image Library","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8t18te","doi":"10.25504/FAIRsharing.8t18te","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This library is a public and easily accessible resource database of images, videos, and animations of cells, capturing a wide diversity of organisms, cell types, and cellular processes. The purpose of this database is to advance research on cellular activity, with the ultimate goal of improving human health. It is a repository for images, movies, and animations of cells from a variety of organisms that demonstrate cellular architecture and functions. This comprehensive library is designed as a public resource first and foremost for research, and secondarily as a tool for education. The long-term goal is the construction of a library of images that will serve as primary data for research.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10764},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11219},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11327}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Cell Biology"],"domains":["Cell","Microscopy","Light microscopy","Electron microscopy","Video","Super-resolution microscopy","Animation","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":232,"pubmed_id":23203874,"title":"The cell: an image library-CCDB: a curated repository of microscopy data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1257","authors":"Orloff DN, Iwasa JH, Martone ME, Ellisman MH, Kane CM.","journal":"Nucleic Acids Res (Database issue)","doi":"10.1093/nar/gks1257","created_at":"2021-09-30T08:22:45.040Z","updated_at":"2021-09-30T08:22:45.040Z"}],"licence_links":[{"licence_name":"Cell Image Library Data Policies and disclaimer","licence_id":117,"licence_url":"http://www.cellimagelibrary.org/pages/license","link_id":970,"relation":"undefined"}],"grants":[{"id":588,"fairsharing_record_id":1723,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:37.102Z","updated_at":"2021-09-30T09:30:08.986Z","grant_id":573,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"RC2GM092708","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10018,"fairsharing_record_id":1723,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.932Z","updated_at":"2022-10-13T09:43:38.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":589,"fairsharing_record_id":1723,"organisation_id":84,"relation":"maintains","created_at":"2021-09-30T09:24:37.127Z","updated_at":"2021-09-30T09:24:37.127Z","grant_id":null,"is_lead":false,"saved_state":{"id":84,"name":"American Society for Cell Biology (ASCB), USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":587,"fairsharing_record_id":1723,"organisation_id":438,"relation":"maintains","created_at":"2021-09-30T09:24:37.073Z","updated_at":"2021-09-30T09:24:37.073Z","grant_id":null,"is_lead":true,"saved_state":{"id":438,"name":"Center for Research in Biological Systems, La Jolla, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1724","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:14:54.820Z","metadata":{"doi":"10.25504/FAIRsharing.ezp87","name":"mycoCLAP","status":"deprecated","contacts":[{"contact_name":"Adrian Tsang","contact_email":"adrian.tsang@concordia.ca"}],"homepage":"http://mycoCLAP.fungalgenomics.ca","citations":[],"identifier":1724,"description":"mycoCLAP is a searchable resource for the knowledge and annotation of Characterized Lignocellulose-Active Proteins of fungal origin.","abbreviation":"mycoCLAP","data_curation":{"type":"not found"},"support_links":[{"url":"mycoclap@concordia.ca","type":"Support email"},{"url":"https://mycoclap.fungalgenomics.ca/mycoCLAP/clap/Help","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://blast.fungalgenomics.ca/blast_mycoclap.html","name":"BLAST"}],"deprecation_date":"2021-12-02","deprecation_reason":"This resource is obsolete, and has been subsumed into CLAE. Please use CLAE instead (https://beta.fairsharing.org/3652). For more information, see https://clae.fungalgenomics.ca/.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000181","bsg-d000181"],"name":"FAIRsharing record for: mycoCLAP","abbreviation":"mycoCLAP","url":"https://fairsharing.org/10.25504/FAIRsharing.ezp87","doi":"10.25504/FAIRsharing.ezp87","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mycoCLAP is a searchable resource for the knowledge and annotation of Characterized Lignocellulose-Active Proteins of fungal origin.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme","Protein","Gene"],"taxonomies":["Fungi"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":234,"pubmed_id":21622642,"title":"Curation of characterized glycoside hydrolases of Fungal origin","year":2011,"url":"http://doi.org/10.1093/database/bar020","authors":"Caitlin Murphy, Justin Powlowski, Min Wu, Greg Butler and Adrian Tsang","journal":"Database","doi":"10.1093/database/bar020","created_at":"2021-09-30T08:22:45.273Z","updated_at":"2021-09-30T08:22:45.273Z"}],"licence_links":[{"licence_name":"Terms and conditions stated by Concordia University","licence_id":778,"licence_url":"http://graduatestudies.concordia.ca/legalnotice.php","link_id":166,"relation":"undefined"}],"grants":[{"id":592,"fairsharing_record_id":1724,"organisation_id":1111,"relation":"funds","created_at":"2021-09-30T09:24:37.219Z","updated_at":"2021-09-30T09:24:37.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":590,"fairsharing_record_id":1724,"organisation_id":2101,"relation":"funds","created_at":"2021-09-30T09:24:37.154Z","updated_at":"2021-09-30T09:24:37.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":591,"fairsharing_record_id":1724,"organisation_id":1113,"relation":"funds","created_at":"2021-09-30T09:24:37.185Z","updated_at":"2021-09-30T09:24:37.185Z","grant_id":null,"is_lead":false,"saved_state":{"id":1113,"name":"Genome Quebec, Quebec, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":593,"fairsharing_record_id":1724,"organisation_id":470,"relation":"maintains","created_at":"2021-09-30T09:24:37.242Z","updated_at":"2021-09-30T09:24:37.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":470,"name":"Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1727","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:47.826Z","metadata":{"doi":"10.25504/FAIRsharing.veg2d6","name":"FlowRepository","status":"ready","contacts":[{"contact_name":"Ryan Brinkman","contact_email":"rbrinkman@bccrc.ca","contact_orcid":"0000-0002-9765-2990"}],"homepage":"http://www.flowrepository.org","citations":[{"doi":"10.1002/cyto.a.22106","pubmed_id":22887982,"publication_id":1205}],"identifier":1727,"description":"FlowRepository is a database of flow cytometry experiments where you can query and download data collected and annotated according to the MIFlowCyt standard. Data are generally associated with peer reviewed manuscripts.","abbreviation":"FlowRepository","data_curation":{"type":"not found"},"support_links":[{"url":"http://flowrepository.org/support_ticket","name":"Contact Support","type":"Contact form"},{"url":"http://flowrepository.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://flowrepository.org/quick_start_guide","name":"Quick Start Guide","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011280","name":"re3data:r3d100011280","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013779","name":"SciCrunch:RRID:SCR_013779","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://flowrepository.org/quick_start_guide#SubmittingData","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000184","bsg-d000184"],"name":"FAIRsharing record for: FlowRepository","abbreviation":"FlowRepository","url":"https://fairsharing.org/10.25504/FAIRsharing.veg2d6","doi":"10.25504/FAIRsharing.veg2d6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FlowRepository is a database of flow cytometry experiments where you can query and download data collected and annotated according to the MIFlowCyt standard. Data are generally associated with peer reviewed manuscripts.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10934}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Cell Biology","Biology"],"domains":["Cell","Cellular assay","Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1205,"pubmed_id":22887982,"title":"FlowRepository: a resource of annotated flow cytometry datasets associated with peer-reviewed publications","year":2012,"url":"http://doi.org/10.1002/cyto.a.22106","authors":"Spidlen J, Breuer K, Rosenberg C, Kotecha N, Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.22106","created_at":"2021-09-30T08:24:34.317Z","updated_at":"2021-09-30T08:24:34.317Z"},{"id":1230,"pubmed_id":22752950,"title":"Preparing a Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) compliant manuscript using the International Society for Advancement of Cytometry (ISAC) FCS file repository (FlowRepository.org).","year":2012,"url":"http://doi.org/10.1002/0471142956.cy1018s61","authors":"Spidlen J,Breuer K,Brinkman R","journal":"Curr Protoc Cytom","doi":"10.1002/0471142956.cy1018s61","created_at":"2021-09-30T08:24:37.200Z","updated_at":"2021-09-30T08:24:37.200Z"}],"licence_links":[{"licence_name":"FlowRepository Privacy Policy","licence_id":317,"licence_url":"http://flowrepository.org/privacy_policy","link_id":1583,"relation":"undefined"},{"licence_name":"FLOW Repository Terms of Use","licence_id":318,"licence_url":"http://flowrepository.org/terms_of_service","link_id":1582,"relation":"undefined"}],"grants":[{"id":603,"fairsharing_record_id":1727,"organisation_id":3218,"relation":"funds","created_at":"2021-09-30T09:24:37.578Z","updated_at":"2021-09-30T09:24:37.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":3218,"name":"Wallace H Coulter Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":601,"fairsharing_record_id":1727,"organisation_id":1515,"relation":"funds","created_at":"2021-09-30T09:24:37.528Z","updated_at":"2021-09-30T09:24:37.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":1515,"name":"International Society for Advancement of Cytometry (ISAC)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":602,"fairsharing_record_id":1727,"organisation_id":2732,"relation":"maintains","created_at":"2021-09-30T09:24:37.553Z","updated_at":"2021-09-30T09:24:37.553Z","grant_id":null,"is_lead":true,"saved_state":{"id":2732,"name":"Terry Fox Laboratory, BC Cancer Agency, Vancouver, British Columbia, Canada","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1728","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:08.563Z","metadata":{"doi":"10.25504/FAIRsharing.ncr75x","name":"wiki-pain","status":"deprecated","contacts":[{"contact_name":"Daniel Jamieson","contact_email":"dan.jamieson@manchester.ac.uk","contact_orcid":"0000-0002-7121-0406"}],"homepage":"http://wiki-pain.org/vhosts/wikipaints/mediawiki-1.19.1/index.php/Main_Page","identifier":1728,"description":"wiki-pain.org is a wiki containing molecular interactions that are relevant to pain. Each molecular interaction is shown in relation to pain, disease, mutations, anatomy and a summary of its mentions throughout the literature is provided.","abbreviation":"wiki-pain","data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://www.biocontext.org","name":"biocontext 1"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000185","bsg-d000185"],"name":"FAIRsharing record for: wiki-pain","abbreviation":"wiki-pain","url":"https://fairsharing.org/10.25504/FAIRsharing.ncr75x","doi":"10.25504/FAIRsharing.ncr75x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: wiki-pain.org is a wiki containing molecular interactions that are relevant to pain. Each molecular interaction is shown in relation to pain, disease, mutations, anatomy and a summary of its mentions throughout the literature is provided.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Text mining","Molecular interaction","Pain"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":260,"pubmed_id":23707966,"title":"Cataloging the biomedical world of pain through semi-automated curation of molecular interactions","year":2013,"url":"http://doi.org/10.1093/database/bat033","authors":"Daniel G. Jamieson, Phoebe M. Roberts, David L. Robertson, Ben Sidders and Goran Nenadic","journal":"Database","doi":"10.1093/database/bat033","created_at":"2021-09-30T08:22:48.091Z","updated_at":"2021-09-30T08:22:48.091Z"}],"licence_links":[],"grants":[{"id":604,"fairsharing_record_id":1728,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:24:37.609Z","updated_at":"2021-09-30T09:24:37.609Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":605,"fairsharing_record_id":1728,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:37.651Z","updated_at":"2021-09-30T09:29:36.054Z","grant_id":319,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/H016694/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1729","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:24.392Z","metadata":{"doi":"10.25504/FAIRsharing.jykmkw","name":"Golm Metabolome Database","status":"ready","contacts":[{"contact_name":"Jan Hummel","contact_email":"hummel@mpimp-golm.mpg.de"}],"homepage":"http://gmd.mpimp-golm.mpg.de/","citations":[],"identifier":1729,"description":"The Golm Metabolome Database (GMD) provides gas chromatography (GC) mass spectrometry (MS) reference spectra, reference metabolite profiles and tools for one of the most widespread routine technologies applied to the large scale screening and discovery of novel metabolic biomarkers.","abbreviation":"GMD","data_curation":{"type":"manual"},"support_links":[{"url":"http://gmd.mpimp-golm.mpg.de/blog.aspx","type":"Blog/News"},{"url":"http://gmd.mpimp-golm.mpg.de/help.aspx","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011046","name":"re3data:r3d100011046","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006625","name":"SciCrunch:RRID:SCR_006625","portal":"SciCrunch"}],"data_access_condition":{"url":"http://gmd.mpimp-golm.mpg.de/termsconditions.aspx","type":"open","notes":"Access to the online contents and services of the GMD is granted to all users without any limitations pursuant to the regulations stipulated below."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000186","bsg-d000186"],"name":"FAIRsharing record for: Golm Metabolome Database","abbreviation":"GMD","url":"https://fairsharing.org/10.25504/FAIRsharing.jykmkw","doi":"10.25504/FAIRsharing.jykmkw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Golm Metabolome Database (GMD) provides gas chromatography (GC) mass spectrometry (MS) reference spectra, reference metabolite profiles and tools for one of the most widespread routine technologies applied to the large scale screening and discovery of novel metabolic biomarkers.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20026}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Mass spectrum","Gas chromatography","Mass spectrometry assay"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1330,"pubmed_id":20526350,"title":"Decision tree supported substructure prediction of metabolites from GC-MS profiles","year":2010,"url":"http://doi.org/10.1007/s11306-010-0198-7","authors":"Hummel, J., Strehmel, N., Selbig, J., Walther, D. and Kopka, J.","journal":"Metabolomics","doi":"doi:10.1007/s11306-010-0198-7","created_at":"2021-09-30T08:24:48.877Z","updated_at":"2021-09-30T08:24:48.877Z"}],"licence_links":[{"licence_name":"GMD Custom Terms and Conditions","licence_id":351,"licence_url":"http://gmd.mpimp-golm.mpg.de/termsconditions.aspx","link_id":1727,"relation":"undefined"}],"grants":[{"id":607,"fairsharing_record_id":1729,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:37.730Z","updated_at":"2021-09-30T09:24:37.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":606,"fairsharing_record_id":1729,"organisation_id":1793,"relation":"maintains","created_at":"2021-09-30T09:24:37.693Z","updated_at":"2021-09-30T09:24:37.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":1793,"name":"Max Planck Institute of Molecular Plant Physiology (MPIMP), Munich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":608,"fairsharing_record_id":1729,"organisation_id":917,"relation":"funds","created_at":"2021-09-30T09:24:37.767Z","updated_at":"2021-09-30T09:24:37.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1726","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-11T08:09:21.602Z","metadata":{"doi":"10.25504/FAIRsharing.ws7cgw","name":"Influenza Research Database","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"rscheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"http://www.fludb.org","citations":[{"doi":"10.1093/nar/gkw857","pubmed_id":27679478,"publication_id":2827}],"identifier":1726,"description":"The Influenza Research Database (IRD) is a free, open, publicly-accessible resource funded by the U.S. National Institute of Allergy and Infectious Diseases through the Bioinformatics Resource Centers program. IRD provides a comprehensive, integrated database and analysis resource for influenza sequence, surveillance, and research data, including user-friendly interfaces for data retrieval, visualization, and comparative genomics analysis, together with personal login- protected ‘workbench’ spaces for saving data sets and analysis results. IRD integrates genomic, proteomic, immune epitope, and surveillance data from a variety of sources, including public databases, computational algorithms, external research groups, and the scientific literature.","abbreviation":"IRD","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.fludb.org/brc/staticContent.spg?decorator=influenza\u0026type=FluInfo\u0026subtype=Contact","name":"Contact Information","type":"Contact form"},{"url":"influenza@virusbrc.org","name":"influenza@virusbrc.org","type":"Support email"},{"url":"https://www.fludb.org/brc/help_landing.spg?decorator=influenza","name":"General Help","type":"Help documentation"},{"url":"https://www.fludb.org/brc/staticContent.spg?decorator=influenza\u0026type=FluInfo\u0026subtype=Protocols","name":"Protocols Used","type":"Help documentation"},{"url":"https://www.fludb.org/brc/influenzaTutorials.spg?decorator=influenza","name":"IRD Tutorials and Training Materials","type":"Training documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"https://www.fludb.org/brc/tree.spg?method=ShowCleanInputPage\u0026decorator=influenza","name":"Generate Phylogenetic Tree (PhyML and RaxML)"},{"url":"https://www.fludb.org/brc/msa.spg?method=ShowCleanInputPage\u0026decorator=influenza","name":"Align Sequences (MSA) via MUSCLE"},{"url":"https://www.fludb.org/brc/workbench_landing.spg?decorator=influenza\u0026method=WorkbenchDetail","name":"Workbench"},{"url":"https://www.fludb.org/brc/blast.spg?method=ShowCleanInputPage\u0026decorator=influenza","name":"Identify Similar Sequences (BLAST)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011558","name":"re3data:r3d100011558","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006641","name":"SciCrunch:RRID:SCR_006641","portal":"SciCrunch"}],"deprecation_date":"2023-07-11","deprecation_reason":"Influenza Research Database (IRD) has been shut down/deprecated and replaced by the Bacterial and Viral Bioinformatics Resource Center (BV-BRC).","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000183","bsg-d000183"],"name":"FAIRsharing record for: Influenza Research Database","abbreviation":"IRD","url":"https://fairsharing.org/10.25504/FAIRsharing.ws7cgw","doi":"10.25504/FAIRsharing.ws7cgw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Influenza Research Database (IRD) is a free, open, publicly-accessible resource funded by the U.S. National Institute of Allergy and Infectious Diseases through the Bioinformatics Resource Centers program. IRD provides a comprehensive, integrated database and analysis resource for influenza sequence, surveillance, and research data, including user-friendly interfaces for data retrieval, visualization, and comparative genomics analysis, together with personal login- protected ‘workbench’ spaces for saving data sets and analysis results. IRD integrates genomic, proteomic, immune epitope, and surveillance data from a variety of sources, including public databases, computational algorithms, external research groups, and the scientific literature.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10765},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10933},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11056},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12301},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12621}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Proteomics","Virology","Biomedical Science","Epidemiology"],"domains":["Expression data","Structure","Sequence feature"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":219,"pubmed_id":22260278,"title":"Influenza research database: an integrated bioinformatics resource for influenza research and surveillance","year":2012,"url":"http://doi.org/10.1111/j.1750-2659.2011.00331.x","authors":"Squires RB, Noronha J, Hunt V, García-Sastre A, Macken C, Baumgarth N, Suarez D, Pickett BE, Zhang Y, Larsen CN, Ramsey A, Zhou L, Zaremba S, Kumar S, Deitrich J, Klem E, Scheuermann RH.","journal":"Influenza Other Respi Viruses","doi":"10.1111/j.1750-2659.2011.00331.x","created_at":"2021-09-30T08:22:43.731Z","updated_at":"2021-09-30T08:22:43.731Z"},{"id":235,"pubmed_id":22398283,"title":"Influenza virus sequence feature variant type analysis: evidence of a role for NS1 in influenza virus host range restriction","year":2012,"url":"http://doi.org/10.1128/JVI.06901-11","authors":"Noronha JM, Liu M, Squires RB, Pickett BE, Hale BG, Air GM, Galloway SE, Takimoto T, Schmolke M, Hunt V, Klem E, García-Sastre A, McGee M, Scheuermann RH","journal":"J Virol","doi":"10.1128/JVI.06901-11","created_at":"2021-09-30T08:22:45.374Z","updated_at":"2021-09-30T08:22:45.374Z"},{"id":674,"pubmed_id":24210098,"title":"Metadata-driven comparative analysis tool for sequences (meta-CATS): an automated process for identifying significant sequence variations that correlate with virus attributes","year":2013,"url":"http://doi.org/10.1016/j.virol.2013.08.021","authors":"Pickett BE, Liu M, Sadat EL, Squires RB, Noronha JM, He S, Jen W, Zaremba S, Gu Z, Zhou L, Larsen CN, Bosch I, Gehrke L, McGee M, Klem EB, Scheuermann RH","journal":"Virology","doi":"10.1016/j.virol.2013.08.021","created_at":"2021-09-30T08:23:34.337Z","updated_at":"2021-09-30T08:23:34.337Z"},{"id":1199,"pubmed_id":24936976,"title":"Standardized metadata for human pathogen/vector genomic sequences.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0099979","authors":"Dugan VG,Emrich SJ,Giraldo-Calderon GI et al.","journal":"PLoS One","doi":"10.1371/journal.pone.0099979","created_at":"2021-09-30T08:24:33.566Z","updated_at":"2021-09-30T08:24:33.566Z"},{"id":1208,"pubmed_id":25064525,"title":"Toward a method for tracking virus evolutionary trajectory applied to the pandemic H1N1 2009 influenza virus.","year":2014,"url":"http://doi.org/10.1016/j.meegid.2014.07.015","authors":"Squires RB,Pickett BE,Das S,Scheuermann RH","journal":"Infect Genet Evol","doi":"10.1016/j.meegid.2014.07.015","created_at":"2021-09-30T08:24:34.641Z","updated_at":"2021-09-30T08:24:34.641Z"},{"id":2204,"pubmed_id":25861210,"title":"A RESTful API for Access to Phylogenetic Tools via the CIPRES Science Gateway.","year":2015,"url":"http://doi.org/10.4137/EBO.S21501","authors":"Miller MA,Schwartz T,Pickett BE,He S,Klem EB,Scheuermann RH,Passarotti M,Kaufman S,O'Leary MA","journal":"Evol Bioinform Online","doi":"10.4137/EBO.S21501","created_at":"2021-09-30T08:26:28.401Z","updated_at":"2021-09-30T08:26:28.401Z"},{"id":2825,"pubmed_id":25977790,"title":"A comprehensive collection of systems biology data characterizing the host response to viral infection.","year":2014,"url":"http://doi.org/10.1038/sdata.2014.33","authors":"Aevermann BD,Pickett BE,Kumar S,Klem EB,Agnihothram S,Askovich PS,Bankhead A 3rd,Bolles M,Carter V,Chang J,Clauss TR,Dash P,Diercks AH,Eisfeld AJ,Ellis A,Fan S,Ferris MT,Gralinski LE,Green RR,Gritsenko MA,Hatta M,Heegel RA,Jacobs JM,Jeng S,Josset L,Kaiser SM,Kelly S,Law GL,Li C,Li J,Long C,Luna ML,Matzke M,McDermott J,Menachery V,Metz TO,Mitchell H,Monroe ME,Navarro G,Neumann G,Podyminogin RL,Purvine SO,Rosenberger CM,Sanders CJ,Schepmoes AA,Shukla AK,Sims A,Sova P,Tam VC,Tchitchek N,Thomas PG,Tilton SC,Totura A,Wang J,Webb-Robertson BJ,Wen J,Weiss JM,Yang F,Yount B,Zhang Q,McWeeney S,Smith RD,Waters KM,Kawaoka Y,Baric R,Aderem A,Katze MG,Scheuermann RH","journal":"Sci Data","doi":"10.1038/sdata.2014.33","created_at":"2021-09-30T08:27:47.465Z","updated_at":"2021-09-30T08:27:47.465Z"},{"id":2826,"pubmed_id":25741011,"title":"Diversifying Selection Analysis Predicts Antigenic Evolution of 2009 Pandemic H1N1 Influenza A Virus in Humans.","year":2015,"url":"http://doi.org/10.1128/JVI.03636-14","authors":"Lee AJ,Das SR,Wang W,Fitzgerald T,Pickett BE,Aevermann BD,Topham DJ,Falsey AR,Scheuermann RH","journal":"J Virol","doi":"10.1128/JVI.03636-14","created_at":"2021-09-30T08:27:47.573Z","updated_at":"2021-09-30T08:27:47.573Z"},{"id":2827,"pubmed_id":27679478,"title":"Influenza Research Database: An integrated bioinformatics resource for influenza virus research.","year":2016,"url":"http://doi.org/10.1093/nar/gkw857","authors":"Zhang Y,Aevermann BD,Anderson TK,Burke DF,Dauphin G,Gu Z,He S,Kumar S,Larsen CN,Lee AJ,Li X,Macken C,Mahaffey C,Pickett BE,Reardon B,Smith T,Stewart L,Suloway C,Sun G,Tong L,Vincent AL,Walters B,Zaremba S,Zhao H,Zhou L,Zmasek C,Klem EB,Scheuermann RH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw857","created_at":"2021-09-30T08:27:47.725Z","updated_at":"2021-09-30T11:29:46.720Z"}],"licence_links":[],"grants":[{"id":596,"fairsharing_record_id":1726,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:24:37.346Z","updated_at":"2021-09-30T09:24:37.346Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":600,"fairsharing_record_id":1726,"organisation_id":2183,"relation":"maintains","created_at":"2021-09-30T09:24:37.495Z","updated_at":"2021-09-30T09:24:37.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2183,"name":"Northrop Grumman Health IT","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":598,"fairsharing_record_id":1726,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:37.415Z","updated_at":"2021-09-30T09:30:24.181Z","grant_id":696,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":597,"fairsharing_record_id":1726,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:37.378Z","updated_at":"2021-09-30T09:24:37.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":599,"fairsharing_record_id":1726,"organisation_id":3179,"relation":"maintains","created_at":"2021-09-30T09:24:37.458Z","updated_at":"2021-09-30T09:24:37.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":3179,"name":"Vecna Technologies","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1725","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-26T10:32:39.834Z","metadata":{"doi":"10.25504/FAIRsharing.3wdd17","name":"Antibody Registry","status":"ready","contacts":[{"contact_name":"Anita Bandrowski","contact_email":"abandrowski@ucsd.edu","contact_orcid":"0000-0002-5497-0243"}],"homepage":"https://antibodyregistry.org/","citations":[],"identifier":1725,"description":"The Antibody Registry exists to give researchers a way to universally identify antibodies used in publications. The registry lists many commercial antibodies from about 200 vendors which have each been assigned a unique identifier. If the antibody that you are using does not appear in the list, an entry can be made by filling in as little as 2 pieces of information: the catalog number and the url of the vendor where our curators can find information and material data sheets. Many optional fields can also be filled in that will help curators identify the reagent. After submitting an antibody, you are given a permanent identifier that can be used in publications. This identifier even if it is later found to be a duplicate, can be quickly traced back in the antibody registry. We never delete records, but we collapse duplicate entries on a regular basis (the old identifiers are kept to help with search).","abbreviation":null,"data_curation":{"url":"https://antibodyregistry.org/about","type":"manual","notes":"Curators review each record upon submission"},"support_links":[{"url":"abr-help@scicrunch.org","name":"Helpdesk","type":"Support email"},{"url":"https://antibodyregistry.org/about","name":"About the Antibody Registry","type":"Help documentation"}],"year_creation":2009,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010408","name":"re3data:r3d100010408","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006397","name":"SciCrunch:RRID:SCR_006397","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://antibodyregistry.org/about","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000182","bsg-d000182"],"name":"FAIRsharing record for: Antibody Registry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.3wdd17","doi":"10.25504/FAIRsharing.3wdd17","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Antibody Registry exists to give researchers a way to universally identify antibodies used in publications. The registry lists many commercial antibodies from about 200 vendors which have each been assigned a unique identifier. If the antibody that you are using does not appear in the list, an entry can be made by filling in as little as 2 pieces of information: the catalog number and the url of the vendor where our curators can find information and material data sheets. Many optional fields can also be filled in that will help curators identify the reagent. After submitting an antibody, you are given a permanent identifier that can be used in publications. This identifier even if it is later found to be a duplicate, can be quickly traced back in the antibody registry. We never delete records, but we collapse duplicate entries on a regular basis (the old identifiers are kept to help with search).","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11287}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Antibody","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":157,"pubmed_id":23900250,"title":"Finding the right antibody for the job.","year":2013,"url":"http://doi.org/10.1038/nmeth.2570","authors":"Marx V","journal":"Nat Methods","doi":"10.1038/nmeth.2570","created_at":"2021-09-30T08:22:37.290Z","updated_at":"2021-09-30T08:22:37.290Z"},{"id":3926,"pubmed_id":36370112,"title":"The Antibody Registry: ten years of registering antibodies.","year":2023,"url":"https://doi.org/10.1093/nar/gkac927","authors":"Bandrowski A, Pairish M, Eckmann P, Grethe J, Martone ME","journal":"Nucleic acids research","doi":"10.1093/nar/gkac927","created_at":"2023-06-23T15:33:36.985Z","updated_at":"2023-06-23T15:33:36.985Z"}],"licence_links":[{"licence_name":"Antibody Registry Terms of Use","licence_id":33,"licence_url":"https://antibodyregistry.org/terms-and-conditions","link_id":2328,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2329,"relation":"undefined"}],"grants":[{"id":594,"fairsharing_record_id":1725,"organisation_id":2144,"relation":"maintains","created_at":"2021-09-30T09:24:37.268Z","updated_at":"2021-09-30T09:24:37.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":595,"fairsharing_record_id":1725,"organisation_id":2037,"relation":"funds","created_at":"2021-09-30T09:24:37.299Z","updated_at":"2021-09-30T09:30:55.766Z","grant_id":938,"is_lead":false,"saved_state":{"id":2037,"name":"National Institutes of Health (NIH) Blueprint for Neuroscience Research, Bethesda, MD, USA","grant":"HHSN271200800035C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1813","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:15:14.535Z","metadata":{"doi":"10.25504/FAIRsharing.etp65g","name":"Catalogue of Transmission Genetics in Arabs","status":"ready","contacts":[{"contact_name":"Ghazi O. Tadmouri","contact_email":"tadmouri@hotmail.com","contact_orcid":"0000-0002-3895-5609"}],"homepage":"http://www.cags.org.ae/ctga/","citations":[],"identifier":1813,"description":"The Centre for Arab Genomic Studies (CAGS) initiated the ambitious project to establish the CTGA (Catalogue of Transmission Genetics in Arabs) database for genetic disorders in Arabs with the aim to enlighten the scientific community and the public on the occurrence of inherited disorders in Arabs and to suggest future investigation strategies.","abbreviation":"CTGA","data_curation":{"url":"https://cags.org.ae/en/ctga-submit-to-database","type":"manual/automated"},"support_links":[{"url":"cags@emirates.net.ae","type":"Support email"},{"url":"http://cags.org.ae/faqs/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cags.org.ae/ctga/submit/CTGA_Database_Information_Submission_Help_Topics.pdf","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"url":"https://cags.org.ae/en/aboutus","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.surveymonkey.com/r/CTGA2","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000273","bsg-d000273"],"name":"FAIRsharing record for: Catalogue of Transmission Genetics in Arabs","abbreviation":"CTGA","url":"https://fairsharing.org/10.25504/FAIRsharing.etp65g","doi":"10.25504/FAIRsharing.etp65g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Centre for Arab Genomic Studies (CAGS) initiated the ambitious project to establish the CTGA (Catalogue of Transmission Genetics in Arabs) database for genetic disorders in Arabs with the aim to enlighten the scientific community and the public on the occurrence of inherited disorders in Arabs and to suggest future investigation strategies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Genome","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Arab Emirates"],"publications":[{"id":1123,"pubmed_id":16381941,"title":"CTGA: the database for genetic disorders in Arab populations.","year":2005,"url":"http://doi.org/10.1093/nar/gkj015","authors":"Tadmouri GO., Al Ali MT., Al-Haj Ali S., Al Khaja N.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj015","created_at":"2021-09-30T08:24:24.381Z","updated_at":"2021-09-30T08:24:24.381Z"}],"licence_links":[],"grants":[{"id":829,"fairsharing_record_id":1813,"organisation_id":456,"relation":"maintains","created_at":"2021-09-30T09:24:45.591Z","updated_at":"2021-09-30T09:24:45.591Z","grant_id":null,"is_lead":false,"saved_state":{"id":456,"name":"Centre for Arab Genomic Studies, Dubai, United Arab Emirates","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1814","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:59:34.902Z","metadata":{"doi":"10.25504/FAIRsharing.mcqs21","name":"Insect Microsatellite Database","status":"ready","contacts":[{"contact_name":"Javaregowda Nagaraju","contact_email":"jnagaraju@cdfd.org.in"}],"homepage":"http://www.cdfd.org.in/insatdb","identifier":1814,"description":"InSatDb, unlike many other microsatellite databases that cater largely to the needs of microsatellites as markers, presents an interactive interface to query information regarding microsatellite characteristics of five fully sequenced insect genomes (fruit-fly, honeybee, malarial mosquito, red-flour beetle and silkworm).","abbreviation":"InSatDb","data_curation":{"type":"not found"},"support_links":[{"url":"http://cdfd.org.in/INSATDB/Tutorial.php","type":"Help documentation"},{"url":"http://cdfd.org.in/INSATDB/Glossary.php","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000274","bsg-d000274"],"name":"FAIRsharing record for: Insect Microsatellite Database","abbreviation":"InSatDb","url":"https://fairsharing.org/10.25504/FAIRsharing.mcqs21","doi":"10.25504/FAIRsharing.mcqs21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InSatDb, unlike many other microsatellite databases that cater largely to the needs of microsatellites as markers, presents an interactive interface to query information regarding microsatellite characteristics of five fully sequenced insect genomes (fruit-fly, honeybee, malarial mosquito, red-flour beetle and silkworm).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Microsatellite","Genome"],"taxonomies":["Anopheles gambiae","Apis","Apis mellifera","Bombyx mori","Drosophila","Drosophila melanogaster","Tribolium castaneum"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1292,"pubmed_id":17082205,"title":"InSatDb: a microsatellite database of fully sequenced insect genomes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl778","authors":"Archak S., Meduri E., Kumar PS., Nagaraju J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl778","created_at":"2021-09-30T08:24:44.201Z","updated_at":"2021-09-30T08:24:44.201Z"}],"licence_links":[],"grants":[{"id":830,"fairsharing_record_id":1814,"organisation_id":460,"relation":"maintains","created_at":"2021-09-30T09:24:45.633Z","updated_at":"2021-09-30T09:24:45.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":460,"name":"Centre for DNA Fingerprinting and Diagnostics, Hyderabad, Telangana, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1816","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:01.445Z","metadata":{"doi":"10.25504/FAIRsharing.j7j53","name":"Candida Genome Database","status":"ready","contacts":[{"contact_name":"Martha B. Arnaud","contact_email":"arnaudm@stanford.edu"}],"homepage":"http://www.candidagenome.org/","identifier":1816,"description":"The Candida Genome Database (CGD) provides access to genomic sequence data and manually curated functional information about genes and proteins of the human pathogen Candida albicans. It collects gene names and aliases, and assigns gene ontology terms to describe the molecular function, biological process, and subcellular localization of gene products.","abbreviation":"CGD","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.candidagenome.org/cgi-bin/suggestion","type":"Contact form"},{"url":"candida-curator@lists.stanford.edu","type":"Support email"},{"url":"http://www.candidagenome.org/HelpContents.shtml","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"http://www.candidagenome.org/cgi-bin/compute/blast_clade.pl","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010617","name":"re3data:r3d100010617","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002036","name":"SciCrunch:RRID:SCR_002036","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.candidagenome.org/cgi-bin/registry/geneRegistry","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000276","bsg-d000276"],"name":"FAIRsharing record for: Candida Genome Database","abbreviation":"CGD","url":"https://fairsharing.org/10.25504/FAIRsharing.j7j53","doi":"10.25504/FAIRsharing.j7j53","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Candida Genome Database (CGD) provides access to genomic sequence data and manually curated functional information about genes and proteins of the human pathogen Candida albicans. It collects gene names and aliases, and assigns gene ontology terms to describe the molecular function, biological process, and subcellular localization of gene products.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19991}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Nucleotide","Pathogen","Curated information","Genome"],"taxonomies":["Candida"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":329,"pubmed_id":15608216,"title":"The Candida Genome Database (CGD), a community resource for Candida albicans gene and protein information.","year":2004,"url":"http://doi.org/10.1093/nar/gki003","authors":"Arnaud MB., Costanzo MC., Skrzypek MS., Binkley G., Lane C., Miyasato SR., Sherlock G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki003","created_at":"2021-09-30T08:22:55.307Z","updated_at":"2021-09-30T08:22:55.307Z"},{"id":1489,"pubmed_id":22064862,"title":"The Candida genome database incorporates multiple Candida species: multispecies search and analysis tools with curated gene and protein information for Candida albicans and Candida glabrata.","year":2011,"url":"http://doi.org/10.1093/nar/gkr945","authors":"Inglis DO., Arnaud MB., Binkley J., Shah P., Skrzypek MS., Wymore F., Binkley G., Miyasato SR., Simison M., Sherlock G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr945","created_at":"2021-09-30T08:25:06.676Z","updated_at":"2021-09-30T08:25:06.676Z"}],"licence_links":[],"grants":[{"id":832,"fairsharing_record_id":1816,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:24:45.725Z","updated_at":"2021-09-30T09:24:45.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":833,"fairsharing_record_id":1816,"organisation_id":2013,"relation":"funds","created_at":"2021-09-30T09:24:45.762Z","updated_at":"2021-09-30T09:29:54.939Z","grant_id":466,"is_lead":false,"saved_state":{"id":2013,"name":"National Institute of Dental and Craniofacial Research (NIDCR), Rockville, MD, USA","grant":"R01 DE015873","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1817","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T18:56:55.867Z","metadata":{"doi":"10.25504/FAIRsharing.rgb21","name":"Receptor Tyrosine Kinase database","status":"deprecated","contacts":[{"contact_email":"perriere@biomserv.univ-lyon1.fr"}],"homepage":"http://pbil.univ-lyon1.fr/RTKdb/","citations":[],"identifier":1817,"description":"A database dedicated to the tyrosine kinase recepter.","abbreviation":"RTKdb","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://pbil.univ-lyon1.fr/RTKdb/","name":"search"},{"url":"http://pbil.univ-lyon1.fr/RTKdb/","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000277","bsg-d000277"],"name":"FAIRsharing record for: Receptor Tyrosine Kinase database","abbreviation":"RTKdb","url":"https://fairsharing.org/10.25504/FAIRsharing.rgb21","doi":"10.25504/FAIRsharing.rgb21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database dedicated to the tyrosine kinase recepter.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Protein"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus","Xenopus laevis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":332,"pubmed_id":12520021,"title":"RTKdb: database of Receptor Tyrosine Kinase.","year":2003,"url":"http://doi.org/10.1093/nar/gkg036","authors":"Grassot J., Mouchiroud G., Perrière G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg036","created_at":"2021-09-30T08:22:55.749Z","updated_at":"2021-09-30T08:22:55.749Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1818","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:34:21.618Z","metadata":{"doi":"10.25504/FAIRsharing.1tbrdz","name":"Coli Genetic Stock Center","status":"ready","contacts":[{"contact_name":"John Wertz","contact_email":"john.wertz@yale.edu"}],"homepage":"https://cgsc.biology.yale.edu/","citations":[],"identifier":1818,"description":"The CGSC Database of E. coli genetic information includes genotypes and reference information for the strains in the CGSC collection, the names, synonyms, properties, and map position for genes, gene product information, and information on specific mutations and references to primary literature.","abbreviation":"CGSC","data_curation":{"type":"not found"},"support_links":[{"url":"CGSC@yale.edu","type":"Support email"},{"url":"http://cgsc.biology.yale.edu/FAQonProcs.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cgsc.biology.yale.edu/cgsc.php","type":"Help documentation"}],"year_creation":1989,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010585","name":"re3data:r3d100010585","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002303","name":"SciCrunch:RRID:SCR_002303","portal":"SciCrunch"}],"data_access_condition":{"type":"partially open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000278","bsg-d000278"],"name":"FAIRsharing record for: Coli Genetic Stock Center","abbreviation":"CGSC","url":"https://fairsharing.org/10.25504/FAIRsharing.1tbrdz","doi":"10.25504/FAIRsharing.1tbrdz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CGSC Database of E. coli genetic information includes genotypes and reference information for the strains in the CGSC collection, the names, synonyms, properties, and map position for genes, gene product information, and information on specific mutations and references to primary literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence position","Genome map","Gene name","Mutation analysis","Gene","Genotype","Genetic strain"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1563,"pubmed_id":17352909,"title":"Strain collections and genetic nomenclature.","year":2007,"url":"http://doi.org/10.1016/S0076-6879(06)21001-2","authors":"Maloy SR., Hughes KT.,","journal":"Meth. Enzymol.","doi":"10.1016/S0076-6879(06)21001-2","created_at":"2021-09-30T08:25:15.284Z","updated_at":"2021-09-30T08:25:15.284Z"}],"licence_links":[],"grants":[{"id":834,"fairsharing_record_id":1818,"organisation_id":551,"relation":"maintains","created_at":"2021-09-30T09:24:45.795Z","updated_at":"2021-09-30T09:24:45.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":551,"name":"Coli Genetic Stock Center (CGSC), Yale University, New Haven, CT, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1819","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:57:44.005Z","metadata":{"doi":"10.25504/FAIRsharing.p2brza","name":"Human siRNA database","status":"deprecated","contacts":[{"contact_name":"Matthias Truss","contact_email":"Matthias.Truss@Charite.de"}],"homepage":"http://itb.biologie.hu-berlin.de/~nebulus/sirna/index.htm","identifier":1819,"description":"HuSiDa is a public database that serves as a depository for both, sequences of published functional siRNA molecules targeting human genes and important technical details of the corresponding gene silencing experiments. It aims at supporting the setup and actual procedure of specific RNAi experiments in human cells.","abbreviation":"HuSiDa","data_curation":{"type":"not found"},"support_links":[{"url":"http://itb.biologie.hu-berlin.de/~nebulus/sirna/instruct.htm","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000279","bsg-d000279"],"name":"FAIRsharing record for: Human siRNA database","abbreviation":"HuSiDa","url":"https://fairsharing.org/10.25504/FAIRsharing.p2brza","doi":"10.25504/FAIRsharing.p2brza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HuSiDa is a public database that serves as a depository for both, sequences of published functional siRNA molecules targeting human genes and important technical details of the corresponding gene silencing experiments. It aims at supporting the setup and actual procedure of specific RNAi experiments in human cells.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12631}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Ribonucleic acid","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":345,"pubmed_id":15608157,"title":"HuSiDa--the human siRNA database: an open-access database for published functional siRNA sequences and technical details of efficient transfer into recipient cells.","year":2004,"url":"http://doi.org/10.1093/nar/gki131","authors":"Truss M., Swat M., Kielbasa SM., Schäfer R., Herzel H., Hagemeier C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki131","created_at":"2021-09-30T08:22:57.174Z","updated_at":"2021-09-30T08:22:57.174Z"}],"licence_links":[],"grants":[{"id":836,"fairsharing_record_id":1819,"organisation_id":494,"relation":"maintains","created_at":"2021-09-30T09:24:45.843Z","updated_at":"2021-09-30T09:24:45.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":494,"name":"Charite - University Medicine Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":837,"fairsharing_record_id":1819,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:45.924Z","updated_at":"2021-09-30T09:24:45.924Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9353,"fairsharing_record_id":1819,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.562Z","updated_at":"2022-04-11T12:07:32.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1820","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:16.301Z","metadata":{"doi":"10.25504/FAIRsharing.kd39j4","name":"IRESite","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"ires@iresite.org"}],"homepage":"http://www.iresite.org","identifier":1820,"description":"The IRESite database presents information about experimentally studied IRES (Internal Ribosome Entry Site) segments. IRES regions are known to attract the eukaryotic ribosomal translation initiation complex and thus promote translation initiation independently of the presence of the commonly utilized 5'-terminal 7mG cap structure.","abbreviation":"IRESite","data_curation":{"url":"http://www.iresite.org/IRESite_web.php?page=faq","type":"manual","notes":"Curators extract data from published articles and help scientist to enter their own data, published or not."},"support_links":[{"url":"http://www.iresite.org/IRESite_web.php?page=faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.iresite.org/IRESite_web.php?page=info_for_submiters","type":"open","notes":"Free login is required for data submission."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000280","bsg-d000280"],"name":"FAIRsharing record for: IRESite","abbreviation":"IRESite","url":"https://fairsharing.org/10.25504/FAIRsharing.kd39j4","doi":"10.25504/FAIRsharing.kd39j4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IRESite database presents information about experimentally studied IRES (Internal Ribosome Entry Site) segments. IRES regions are known to attract the eukaryotic ribosomal translation initiation complex and thus promote translation initiation independently of the presence of the commonly utilized 5'-terminal 7mG cap structure.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Nucleic acid sequence","Peptide","Ribosomal RNA","Ribonucleic acid","Biological regulation","Plasmid"],"taxonomies":["Eukaryota","Viruses"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1597,"pubmed_id":16381829,"title":"IRESite: the database of experimentally verified IRES structures (www.iresite.org).","year":2005,"url":"http://doi.org/10.1093/nar/gkj081","authors":"Mokrejs M., Vopálenský V., Kolenaty O., Masek T., Feketová Z., Sekyrová P., Skaloudová B., Kríz V., Pospísek M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj081","created_at":"2021-09-30T08:25:19.079Z","updated_at":"2021-09-30T08:25:19.079Z"},{"id":1615,"pubmed_id":19917642,"title":"IRESite--a tool for the examination of viral and cellular internal ribosome entry sites.","year":2009,"url":"http://doi.org/10.1093/nar/gkp981","authors":"Mokrejs M., Masek T., Vopálensky V., Hlubucek P., Delbos P., Pospísek M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp981","created_at":"2021-09-30T08:25:20.977Z","updated_at":"2021-09-30T08:25:20.977Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":278,"relation":"undefined"}],"grants":[{"id":839,"fairsharing_record_id":1820,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:24:46.004Z","updated_at":"2021-09-30T09:32:17.453Z","grant_id":1550,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LC06066","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":838,"fairsharing_record_id":1820,"organisation_id":495,"relation":"maintains","created_at":"2021-09-30T09:24:45.966Z","updated_at":"2021-09-30T09:24:45.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":495,"name":"Charles University, Prague, Czech Republic","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":840,"fairsharing_record_id":1820,"organisation_id":633,"relation":"funds","created_at":"2021-09-30T09:24:46.041Z","updated_at":"2021-09-30T09:29:17.861Z","grant_id":183,"is_lead":false,"saved_state":{"id":633,"name":"Czech Science Foundation (GACR), Czech Republic","grant":"301/07/0607","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1821","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:28:43.174Z","metadata":{"doi":"10.25504/FAIRsharing.yp3rcg","name":"Eukaryotic Paralog Group Database","status":"deprecated","contacts":[{"contact_name":"Guohui Ding","contact_email":"ghding@gmail.com"}],"homepage":"http://epgd.biosino.org/EPGD/","identifier":1821,"description":"The database is gene-centered and organized by paralog family. It focused on the paralogs and the duplication events in the evolution. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website in plain text files.","abbreviation":"EPGD","data_curation":{"type":"not found"},"support_links":[{"url":"http://epgd.biosino.org/EPGD/help.jsp","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://epgd.biosino.org/EPGD/search/adseqsearch.jsp","name":"advanced search"},{"url":"http://epgd.biosino.org/EPGD/search/adseqsearch.jsp","name":"advanced search"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000281","bsg-d000281"],"name":"FAIRsharing record for: Eukaryotic Paralog Group Database","abbreviation":"EPGD","url":"https://fairsharing.org/10.25504/FAIRsharing.yp3rcg","doi":"10.25504/FAIRsharing.yp3rcg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database is gene-centered and organized by paralog family. It focused on the paralogs and the duplication events in the evolution. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website in plain text files.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Gene"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":344,"pubmed_id":17984073,"title":"EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information.","year":2007,"url":"http://doi.org/10.1093/nar/gkm924","authors":"Ding G., Sun Y., Li H., Wang Z., Fan H., Wang C., Yang D., Li Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm924","created_at":"2021-09-30T08:22:57.074Z","updated_at":"2021-09-30T08:22:57.074Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":279,"relation":"undefined"}],"grants":[{"id":841,"fairsharing_record_id":1821,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.083Z","updated_at":"2021-09-30T09:24:46.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":842,"fairsharing_record_id":1821,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:46.125Z","updated_at":"2021-09-30T09:31:31.595Z","grant_id":1209,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2006CB910700","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1822","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T14:46:12.496Z","metadata":{"doi":"10.25504/FAIRsharing.mtg4ew","name":"The Database of Human DNA Methylation and Cancer","status":"deprecated","contacts":[{"contact_name":"Jing Wang","contact_email":"wangjing@genomics.org.cn"}],"homepage":"http://methycancer.psych.ac.cn/","citations":[],"identifier":1822,"description":"The database of human DNA Methylation and Cancer (MethyCancer) is developed to study interplay of DNA methylation, gene expression and cancer. It hosts both highly integrated data of DNA methylation, cancer-related gene, mutation and cancer information from public resources, and the CpG Island (CGI) clones derived from our large-scale sequencing.","abbreviation":"MethyCancer","data_curation":{"type":"not found"},"support_links":[{"url":"http://methycancer.psych.ac.cn/Doclinks.do","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://methycancer.psych.ac.cn/Blast.do","name":"BLAST"}],"deprecation_date":"2023-03-20","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000282","bsg-d000282"],"name":"FAIRsharing record for: The Database of Human DNA Methylation and Cancer","abbreviation":"MethyCancer","url":"https://fairsharing.org/10.25504/FAIRsharing.mtg4ew","doi":"10.25504/FAIRsharing.mtg4ew","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database of human DNA Methylation and Cancer (MethyCancer) is developed to study interplay of DNA methylation, gene expression and cancer. It hosts both highly integrated data of DNA methylation, cancer-related gene, mutation and cancer information from public resources, and the CpG Island (CGI) clones derived from our large-scale sequencing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Expression data","Deoxyribonucleic acid","Cancer","DNA methylation","Small molecule","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":340,"pubmed_id":17890243,"title":"MethyCancer: the database of human DNA methylation and cancer.","year":2007,"url":"http://doi.org/10.1093/nar/gkm730","authors":"He X., Chang S., Zhang J., Zhao Q., Xiang H., Kusonmano K., Yang L., Sun ZS., Yang H., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm730","created_at":"2021-09-30T08:22:56.591Z","updated_at":"2021-09-30T08:22:56.591Z"}],"licence_links":[],"grants":[{"id":844,"fairsharing_record_id":1822,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.194Z","updated_at":"2021-09-30T09:24:46.194Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":843,"fairsharing_record_id":1822,"organisation_id":12,"relation":"funds","created_at":"2021-09-30T09:24:46.162Z","updated_at":"2021-09-30T09:30:05.806Z","grant_id":549,"is_lead":false,"saved_state":{"id":12,"name":"863 Program, National High Technology Research and Development Program of China","grant":"2006AA02A304","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1823","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:42:03.999Z","metadata":{"doi":"10.25504/FAIRsharing.3cswbc","name":"MiCroKiTS","status":"ready","contacts":[{"contact_name":"Zexian Liu","contact_email":"lzx.bioinfo@gmail.com","contact_orcid":"0000-0001-9698-0610"}],"homepage":"http://microkit.biocuckoo.org/","citations":[],"identifier":1823,"description":"This resource is a collection of all proteins identified to be localized on kinetochore, centrosome, midbody, telomere and spindle from two fungi (S. cerevisiae and S. pombe) and five animals, including C. elegans, D. melanogaster, X. laevis, M. musculus and H. sapiens based on the rationale of \"Seeing is believing\" (Bloom K et al., 2005). Through ortholog searches, the proteins potentially localized at these sub-cellular regions were detected in 144 eukaryotes. Then the integrated and searchable database MiCroKiTS - Midbody, Centrosome, Kinetochore, Telomere and Spindle has been established. Currently, the MiCroKiTS 4.0 database was updated on Sep. 6, 2014, containing 87,983 unique protein entries.","abbreviation":"MiCroKiTS","data_curation":{"type":"not found"},"support_links":[{"url":"http://microkit.biocuckoo.org/userguide.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010550","name":"re3data:r3d100010550","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007052","name":"SciCrunch:RRID:SCR_007052","portal":"SciCrunch"}],"data_access_condition":{"url":"http://microkit.biocuckoo.org/download.php","type":"partially open","notes":"Only freely available for academic research, for commercial usage it isn't,"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000283","bsg-d000283"],"name":"FAIRsharing record for: MiCroKiTS","abbreviation":"MiCroKiTS","url":"https://fairsharing.org/10.25504/FAIRsharing.3cswbc","doi":"10.25504/FAIRsharing.3cswbc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource is a collection of all proteins identified to be localized on kinetochore, centrosome, midbody, telomere and spindle from two fungi (S. cerevisiae and S. pombe) and five animals, including C. elegans, D. melanogaster, X. laevis, M. musculus and H. sapiens based on the rationale of \"Seeing is believing\" (Bloom K et al., 2005). Through ortholog searches, the proteins potentially localized at these sub-cellular regions were detected in 144 eukaryotes. Then the integrated and searchable database MiCroKiTS - Midbody, Centrosome, Kinetochore, Telomere and Spindle has been established. Currently, the MiCroKiTS 4.0 database was updated on Sep. 6, 2014, containing 87,983 unique protein entries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Xenopus laevis"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":342,"pubmed_id":19783819,"title":"MiCroKit 3.0: an integrated database of midbody, centrosome and kinetochore.","year":2009,"url":"http://doi.org/10.1093/nar/gkp784","authors":"Ren J., Liu Z., Gao X., Jin C., Ye M., Zou H., Wen L., Zhang Z., Xue Y., Yao X.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp784","created_at":"2021-09-30T08:22:56.874Z","updated_at":"2021-09-30T08:22:56.874Z"},{"id":1252,"pubmed_id":25392421,"title":"MiCroKiTS 4.0: a database of midbody, centrosome, kinetochore, telomere and spindle.","year":2014,"url":"http://doi.org/10.1093/nar/gku1125","authors":"Huang Z,Ma L,Wang Y,Pan Z,Ren J,Liu Z,Xue Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1125","created_at":"2021-09-30T08:24:39.655Z","updated_at":"2021-09-30T11:29:04.101Z"}],"licence_links":[],"grants":[{"id":846,"fairsharing_record_id":1823,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.243Z","updated_at":"2021-09-30T09:24:46.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":845,"fairsharing_record_id":1823,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:46.218Z","updated_at":"2021-09-30T09:30:43.365Z","grant_id":839,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2013CB933900","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":847,"fairsharing_record_id":1823,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:46.275Z","updated_at":"2021-09-30T09:29:07.544Z","grant_id":104,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31171263","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1824","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:43:41.624Z","metadata":{"doi":"10.25504/FAIRsharing.e4937j","name":"Shanghai Rapeseed Database","status":"deprecated","contacts":[{"contact_email":"rapeseed@sibs.ac.cn"}],"homepage":"http://rapeseed.plantsignal.cn","citations":[],"identifier":1824,"description":"Shanghai RAPESEED Database: a resource for functional genomics studies of seed development and fatty acid metabolism of Brassica.","abbreviation":"SRD","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://rapeseed.plantsignal.cn/search.do","name":"search"},{"url":"http://rapeseed.plantsignal.cn/newBlastTask.do","name":"BLAST"},{"url":"http://rapeseed.plantsignal.cn/search.do","name":"search"},{"url":"http://rapeseed.plantsignal.cn/newBlastTask.do","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000284","bsg-d000284"],"name":"FAIRsharing record for: Shanghai Rapeseed Database","abbreviation":"SRD","url":"https://fairsharing.org/10.25504/FAIRsharing.e4937j","doi":"10.25504/FAIRsharing.e4937j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Shanghai RAPESEED Database: a resource for functional genomics studies of seed development and fatty acid metabolism of Brassica.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Brassica napus"],"user_defined_tags":[],"countries":["China","United States"],"publications":[{"id":326,"pubmed_id":17916574,"title":"Shanghai RAPESEED Database: a resource for functional genomics studies of seed development and fatty acid metabolism of Brassica.","year":2007,"url":"http://doi.org/10.1093/nar/gkm780","authors":"Wu GZ., Shi QM., Niu Y., Xing MQ., Xue HW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm780","created_at":"2021-09-30T08:22:54.990Z","updated_at":"2021-09-30T08:22:54.990Z"}],"licence_links":[],"grants":[{"id":848,"fairsharing_record_id":1824,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.316Z","updated_at":"2021-09-30T09:24:46.316Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1825","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:09.317Z","metadata":{"doi":"10.25504/FAIRsharing.f8pqxt","name":"GenomeTraFaC","status":"deprecated","contacts":[{"contact_name":"Anil Jegga","contact_email":"anil.jegga@cchmc.org"}],"homepage":"http://genometrafac.cchmc.org","identifier":1825,"description":"GenomeTraFaC is a database of conserved regulatory elements obtained by systematically analyzing the orthologous set of human and mouse genes. It mainly focuses on all of the high-quality mRNA entries of mouse and human genes in the Reference Sequence (RefSeq) database of the NCBI.","abbreviation":"GenomeTraFaC","data_curation":{"type":"not found"},"support_links":[{"url":"http://info.cchmc.org/help/genometrafac/index.html#faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://info.cchmc.org/help/genometrafac/index.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000285","bsg-d000285"],"name":"FAIRsharing record for: GenomeTraFaC","abbreviation":"GenomeTraFaC","url":"https://fairsharing.org/10.25504/FAIRsharing.f8pqxt","doi":"10.25504/FAIRsharing.f8pqxt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenomeTraFaC is a database of conserved regulatory elements obtained by systematically analyzing the orthologous set of human and mouse genes. It mainly focuses on all of the high-quality mRNA entries of mouse and human genes in the Reference Sequence (RefSeq) database of the NCBI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Ribonucleic acid","Biological regulation","Gene regulatory element","Messenger RNA"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1940,"pubmed_id":17178752,"title":"GenomeTrafac: a whole genome resource for the detection of transcription factor binding site clusters associated with conventional and microRNA encoding genes conserved between mouse and human gene orthologs.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1011","authors":"Jegga AG., Chen J., Gowrisankar S., Deshmukh MA., Gudivada R., Kong S., Kaimal V., Aronow BJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1011","created_at":"2021-09-30T08:25:58.339Z","updated_at":"2021-09-30T08:25:58.339Z"}],"licence_links":[],"grants":[{"id":851,"fairsharing_record_id":1825,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:46.430Z","updated_at":"2021-09-30T09:31:03.343Z","grant_id":995,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"UO1 CA84291-07","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":849,"fairsharing_record_id":1825,"organisation_id":521,"relation":"maintains","created_at":"2021-09-30T09:24:46.358Z","updated_at":"2021-09-30T09:24:46.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":521,"name":"Cincinnati Children's Hospital Medical Center, OH, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":850,"fairsharing_record_id":1825,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:24:46.396Z","updated_at":"2021-09-30T09:24:46.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1826","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:09.580Z","metadata":{"doi":"10.25504/FAIRsharing.c1rep3","name":"PolyDoms","status":"deprecated","contacts":[{"contact_name":"Anil Jegga","contact_email":"anil.jegga@cchmc.org"}],"homepage":"http://polydoms.cchmc.org","identifier":1826,"description":"An integrated database of human coding single nucleotide polymorphisms (SNPs) and their annotations.","abbreviation":"PolyDoms","data_curation":{"type":"not found"},"support_links":[{"url":"http://info.chmcc.org/help/polydoms/index.html","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000286","bsg-d000286"],"name":"FAIRsharing record for: PolyDoms","abbreviation":"PolyDoms","url":"https://fairsharing.org/10.25504/FAIRsharing.c1rep3","doi":"10.25504/FAIRsharing.c1rep3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated database of human coding single nucleotide polymorphisms (SNPs) and their annotations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Single nucleotide polymorphism"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3103,"pubmed_id":17142238,"title":"PolyDoms: a whole genome database for the identification of non-synonymous coding SNPs with the potential to impact disease.","year":2006,"url":"http://doi.org/10.1093/nar/gkl826","authors":"Jegga AG,Gowrisankar S,Chen J,Aronow BJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl826","created_at":"2021-09-30T08:28:22.225Z","updated_at":"2021-09-30T11:29:51.179Z"}],"licence_links":[],"grants":[{"id":852,"fairsharing_record_id":1826,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:24:46.476Z","updated_at":"2021-09-30T09:24:46.476Z","grant_id":null,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":853,"fairsharing_record_id":1826,"organisation_id":521,"relation":"maintains","created_at":"2021-09-30T09:24:46.513Z","updated_at":"2021-09-30T09:24:46.513Z","grant_id":null,"is_lead":false,"saved_state":{"id":521,"name":"Cincinnati Children's Hospital Medical Center, OH, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1827","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:33:44.569Z","metadata":{"doi":"10.25504/FAIRsharing.j98570","name":"GreenPhylDB: A phylogenomic database for plant comparative genomics","status":"ready","contacts":[{"contact_name":"Mathieu Rouard","contact_email":"greenphyldb@cirad.fr"}],"homepage":"http://www.greenphyl.org","citations":[],"identifier":1827,"description":"GreenPhylDB comprises 37 full genomes from the major phylum of plant evolution. Clustering of these genomes was performed to define a consistent and extensive set of homeomorphic plant families.","abbreviation":"GreenPhyl","data_curation":{"url":"https://www.greenphyl.org/cgi-bin/documentation.cgi?page=methodology","type":"manual","notes":"Clusters are checked by curators using a dedicated interface."},"support_links":[{"url":"http://www.greenphyl.org/cgi-bin/documentation.cgi?page=faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.greenphyl.org/cgi-bin/documentation.cgi?page=overview","type":"Help documentation"},{"url":"http://www.greenphyl.org/cgi-bin/documentation.cgi?page=team","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://www.greenphyl.org/cgi-bin/blast.cgi","name":"BLAST"},{"url":"http://www.greenphyl.org/cgi-bin/quick_search.cgi","name":"search"},{"url":"http://www.greenphyl.org/cgi-bin/treepattern.cgi","name":"TreePattern"},{"url":"http://www.greenphyl.org/cgi-bin/ipr2genomes.cgi","name":"Interpro domain search"},{"url":"http://www.greenphyl.org/cgi-bin/families.cgi?p=list\u0026type=validated","name":"browse"},{"url":"http://www.greenphyl.org/cgi-bin/search_families.cgi","name":"advanced search"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000287","bsg-d000287"],"name":"FAIRsharing record for: GreenPhylDB: A phylogenomic database for plant comparative genomics","abbreviation":"GreenPhyl","url":"https://fairsharing.org/10.25504/FAIRsharing.j98570","doi":"10.25504/FAIRsharing.j98570","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GreenPhylDB comprises 37 full genomes from the major phylum of plant evolution. Clustering of these genomes was performed to define a consistent and extensive set of homeomorphic plant families.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenomics","Life Science"],"domains":["Sequence cluster","Homologous","Orthologous","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":346,"pubmed_id":20864446,"title":"GreenPhylDB v2.0: comparative and functional genomics in plants.","year":2010,"url":"http://doi.org/10.1093/nar/gkq811","authors":"Rouard M., Guignon V., Aluome C., Laporte MA., Droc G., Walde C., Zmasek CM., Périn C., Conte MG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq811","created_at":"2021-09-30T08:22:57.274Z","updated_at":"2021-09-30T08:22:57.274Z"}],"licence_links":[{"licence_name":"GreenPhyl Terms of Service","licence_id":365,"licence_url":"http://www.greenphyl.org/cgi-bin/tos.cgi","link_id":923,"relation":"undefined"}],"grants":[{"id":856,"fairsharing_record_id":1827,"organisation_id":2603,"relation":"maintains","created_at":"2021-09-30T09:24:46.626Z","updated_at":"2021-09-30T09:24:46.626Z","grant_id":null,"is_lead":false,"saved_state":{"id":2603,"name":"South Green","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":854,"fairsharing_record_id":1827,"organisation_id":1101,"relation":"maintains","created_at":"2021-09-30T09:24:46.550Z","updated_at":"2021-09-30T09:24:46.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":1101,"name":"Generation Challenge Programme, Mexico","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":855,"fairsharing_record_id":1827,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:24:46.589Z","updated_at":"2021-09-30T09:24:46.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":857,"fairsharing_record_id":1827,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.675Z","updated_at":"2021-09-30T09:24:46.675Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1828","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:04.537Z","metadata":{"doi":"10.25504/FAIRsharing.7m4hza","name":"OryGenesDB: an interactive tool for rice reverse genetics","status":"ready","contacts":[{"contact_name":"Pierre Larmande","contact_email":"pierre.larmande@cirad.fr","contact_orcid":"0000-0002-2923-9790"}],"homepage":"http://orygenesdb.cirad.fr/","identifier":1828,"description":"The aim of this Oryza sativa database was first to display sequence information such as the T-DNA and Ds flanking sequence tags (FSTs) produced in the framework of the French genomics initiative Genoplante and the EU consortium Cereal Gene Tags. This information was later linked with related molecular data from external rice molecular resources (cDNA full length, Gene, EST, Markers, Expression data...).","abbreviation":"OryGenesDB","data_curation":{"type":"automated"},"support_links":[{"url":"orygenesdb@cirad.fr","type":"Support email"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://orygenesdb.cirad.fr/blast.html","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000288","bsg-d000288"],"name":"FAIRsharing record for: OryGenesDB: an interactive tool for rice reverse genetics","abbreviation":"OryGenesDB","url":"https://fairsharing.org/10.25504/FAIRsharing.7m4hza","doi":"10.25504/FAIRsharing.7m4hza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of this Oryza sativa database was first to display sequence information such as the T-DNA and Ds flanking sequence tags (FSTs) produced in the framework of the French genomics initiative Genoplante and the EU consortium Cereal Gene Tags. This information was later linked with related molecular data from external rice molecular resources (cDNA full length, Gene, EST, Markers, Expression data...).","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16715}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","DNA sequence data","Deoxyribonucleic acid","Flanking region","Sequence tag","Gene","Complementary DNA"],"taxonomies":["Oryza","Oryza sativa"],"user_defined_tags":["Flanking Sequence Tags (FST)"],"countries":["France"],"publications":[{"id":341,"pubmed_id":19036791,"title":"OryGenesDB 2008 update: database interoperability for functional genomics of rice.","year":2008,"url":"http://doi.org/10.1093/nar/gkn821","authors":"Droc G., Périn C., Fromentin S., Larmande P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn821","created_at":"2021-09-30T08:22:56.775Z","updated_at":"2021-09-30T08:22:56.775Z"}],"licence_links":[],"grants":[{"id":858,"fairsharing_record_id":1828,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.717Z","updated_at":"2021-09-30T09:24:46.717Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1829","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:53:49.249Z","metadata":{"doi":"10.25504/FAIRsharing.61c2x6","name":"Oryza Tag Line","status":"ready","contacts":[{"contact_email":"oryzatagline@cirad.fr"}],"homepage":"http://oryzatagline.cirad.fr/","identifier":1829,"description":"Oryza Tag Line consists in a searchable database developed under the Oracle management system integrating phenotypic data resulting from the evaluation of the Genoplante rice insertion line library.","abbreviation":"OTL","data_curation":{"type":"not found"},"support_links":[{"url":"oryzatagline@cirad.fr","type":"Support email"},{"url":"http://oryzatagline.cirad.fr/help.htm","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000289","bsg-d000289"],"name":"FAIRsharing record for: Oryza Tag Line","abbreviation":"OTL","url":"https://fairsharing.org/10.25504/FAIRsharing.61c2x6","doi":"10.25504/FAIRsharing.61c2x6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Oryza Tag Line consists in a searchable database developed under the Oracle management system integrating phenotypic data resulting from the evaluation of the Genoplante rice insertion line library.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","DNA sequence data","Deoxyribonucleic acid","Phenotype","Messenger RNA","Complementary DNA"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":331,"pubmed_id":17947330,"title":"Oryza Tag Line, a phenotypic mutant database for the Genoplante rice insertion line library.","year":2007,"url":"http://doi.org/10.1093/nar/gkm762","authors":"Larmande P., Gay C., Lorieux M., Périn C., Bouniol M., Droc G., Sallaud C., Perez P., Barnola I., Biderre-Petit C., Martin J., Morel JB., Johnson AA., Bourgis F., Ghesquière A., Ruiz M., Courtois B., Guiderdoni E.,","journal":"Nucleic Acids Res.","doi":"17947330","created_at":"2021-09-30T08:22:55.657Z","updated_at":"2021-09-30T08:22:55.657Z"}],"licence_links":[],"grants":[{"id":859,"fairsharing_record_id":1829,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.755Z","updated_at":"2021-09-30T09:24:46.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1801","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:47.231Z","metadata":{"doi":"10.25504/FAIRsharing.x8xt3k","name":"PhosphoSite Plus","status":"ready","contacts":[{"contact_name":"general contact","contact_email":"EditorPhosphoSite@cellsignal.com"}],"homepage":"http://www.phosphosite.org","citations":[],"identifier":1801,"description":"PhosphoSite Plus provides extensive information on mammalian post-translational modifications (PTMs). The resource supersedes PhosphoSite a mammalian protein database that provides information about in vivo phosphorylation sites.","abbreviation":"PSP","data_curation":{"url":"http://www.phosphosite.org/staticCurationProcess.do","type":"manual/automated","notes":"Curation Process"},"support_links":[{"url":"http://www.phosphosite.org/staticContact.do","type":"Contact form"},{"url":"http://www.phosphosite.org/staticUsingPhosphosite.do","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"https://www.phosphosite.org/staticMotifAnalysis.action","name":"Motif Analysis"},{"url":"https://www.phosphosite.org/sequenceLogoAction.action","name":"Sequence Logo Analysis"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000261","bsg-d000261"],"name":"FAIRsharing record for: PhosphoSite Plus","abbreviation":"PSP","url":"https://fairsharing.org/10.25504/FAIRsharing.x8xt3k","doi":"10.25504/FAIRsharing.x8xt3k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhosphoSite Plus provides extensive information on mammalian post-translational modifications (PTMs). The resource supersedes PhosphoSite a mammalian protein database that provides information about in vivo phosphorylation sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Proteomics","Life Science"],"domains":["Molecular structure","Phosphorylation","Signaling","Small molecule","Structure","Protein"],"taxonomies":["Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":313,"pubmed_id":12478304,"title":"The Molecule Pages database.","year":2002,"url":"http://doi.org/10.1038/nature01307","authors":"Li J., Ning Y., Hedley W., Saunders B., Chen Y., Tindill N., Hannay T., Subramaniam S.,","journal":"Nature","doi":"10.1038/nature01307","created_at":"2021-09-30T08:22:53.582Z","updated_at":"2021-09-30T08:22:53.582Z"},{"id":1589,"pubmed_id":15174125,"title":"PhosphoSite: A bioinformatics resource dedicated to physiological protein phosphorylation.","year":2004,"url":"http://doi.org/10.1002/pmic.200300772","authors":"Hornbeck PV,Chabra I,Kornhauser JM,Skrzypek E,Zhang B","journal":"Proteomics","doi":"10.1002/pmic.200300772","created_at":"2021-09-30T08:25:18.178Z","updated_at":"2021-09-30T08:25:18.178Z"},{"id":1633,"pubmed_id":25514926,"title":"PhosphoSitePlus, 2014: mutations, PTMs and recalibrations.","year":2014,"url":"http://doi.org/10.1093/nar/gku1267","authors":"Hornbeck PV,Zhang B,Murray B,Kornhauser JM,Latham V,Skrzypek E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1267","created_at":"2021-09-30T08:25:22.958Z","updated_at":"2021-09-30T11:29:17.354Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":301,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":295,"relation":"undefined"},{"licence_name":"PhosphoSitePlus Privacy Policy","licence_id":665,"licence_url":"http://www.phosphosite.org/staticPrivacyCookiePolicy.action","link_id":300,"relation":"undefined"}],"grants":[{"id":803,"fairsharing_record_id":1801,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:24:44.657Z","updated_at":"2021-09-30T09:24:44.657Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":802,"fairsharing_record_id":1801,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:24:44.615Z","updated_at":"2021-09-30T09:30:54.741Z","grant_id":932,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"R44AA014848","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":805,"fairsharing_record_id":1801,"organisation_id":402,"relation":"funds","created_at":"2021-09-30T09:24:44.748Z","updated_at":"2021-09-30T09:24:44.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":402,"name":"Cell Signaling Technology (CST), Danvers, MA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":806,"fairsharing_record_id":1801,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:24:44.791Z","updated_at":"2021-09-30T09:24:44.791Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":807,"fairsharing_record_id":1801,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:24:44.826Z","updated_at":"2021-09-30T09:29:06.734Z","grant_id":98,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"R44CA126080","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":804,"fairsharing_record_id":1801,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:44.708Z","updated_at":"2021-09-30T09:31:45.318Z","grant_id":1312,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R43GM065768-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1802","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:36:29.663Z","metadata":{"doi":"10.25504/FAIRsharing.ac329k","name":"The Autism Chromosome Rearrangement Database","status":"ready","contacts":[{"contact_name":"Christian Marshal","contact_email":"crm@sickkids.ca"}],"homepage":"http://projects.tcag.ca/autism","identifier":1802,"description":"The Autism Chromosome Rearrangement Database is a collection of hand curated breakpoints and other genomic features, related to autism, taken from publicly available literature, databases and unpublished data.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://projects.tcag.ca/autism/XuJie-MS.pdf","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012092","name":"re3data:r3d100012092","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006474","name":"SciCrunch:RRID:SCR_006474","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000262","bsg-d000262"],"name":"FAIRsharing record for: The Autism Chromosome Rearrangement Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ac329k","doi":"10.25504/FAIRsharing.ac329k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Autism Chromosome Rearrangement Database is a collection of hand curated breakpoints and other genomic features, related to autism, taken from publicly available literature, databases and unpublished data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["Expression data","Autistic disorder","Genetic polymorphism","DNA microarray","Disease phenotype","Genome","Chromosomal aberration","Karyotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1102,"pubmed_id":18252227,"title":"Structural variation of chromosomes in autism spectrum disorder.","year":2008,"url":"http://doi.org/10.1016/j.ajhg.2007.12.009","authors":"Marshall CR. et al.","journal":"Am. J. Hum. Genet.","doi":"10.1016/j.ajhg.2007.12.009","created_at":"2021-09-30T08:24:21.998Z","updated_at":"2021-09-30T08:24:21.998Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1216,"relation":"undefined"}],"grants":[{"id":808,"fairsharing_record_id":1802,"organisation_id":1805,"relation":"funds","created_at":"2021-09-30T09:24:44.865Z","updated_at":"2021-09-30T09:24:44.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":1805,"name":"McLaughlin Centre, University of Toronto, Canada","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":809,"fairsharing_record_id":1802,"organisation_id":455,"relation":"maintains","created_at":"2021-09-30T09:24:44.907Z","updated_at":"2021-09-30T09:24:44.907Z","grant_id":null,"is_lead":false,"saved_state":{"id":455,"name":"Centre for Applied Genomics, Toronto, ON, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":810,"fairsharing_record_id":1802,"organisation_id":455,"relation":"funds","created_at":"2021-09-30T09:24:44.949Z","updated_at":"2021-09-30T09:24:44.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":455,"name":"Centre for Applied Genomics, Toronto, ON, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1804","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:08.470Z","metadata":{"doi":"10.25504/FAIRsharing.a5zy4g","name":"Database of Arabidopsis Transcription Factors","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"datf@mail.cbi.pku.edu.cn"}],"homepage":"http://datf.cbi.pku.edu.cn","identifier":1804,"description":"The Database of Arabidopsis Transcription Factors (DATF) collects all Arabidopsis transcription factors (totally 1922 Loci; 2290 Gene Models) and classifies them into 64 families.The Version 2 of DATF was updated at July 2006. It is based on the Arabidopsis Sequence of TAIR, predicted Nuclear Location Signals, UniGene information, as well as links to literature reference.","abbreviation":"DATF","data_curation":{"type":"not found"},"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000264","bsg-d000264"],"name":"FAIRsharing record for: Database of Arabidopsis Transcription Factors","abbreviation":"DATF","url":"https://fairsharing.org/10.25504/FAIRsharing.a5zy4g","doi":"10.25504/FAIRsharing.a5zy4g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Arabidopsis Transcription Factors (DATF) collects all Arabidopsis transcription factors (totally 1922 Loci; 2290 Gene Models) and classifies them into 64 families.The Version 2 of DATF was updated at July 2006. It is based on the Arabidopsis Sequence of TAIR, predicted Nuclear Location Signals, UniGene information, as well as links to literature reference.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene model annotation","Biological regulation"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1117,"pubmed_id":15731212,"title":"DATF: a database of Arabidopsis transcription factors.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti334","authors":"Guo A., He K., Liu D., Bai S., Gu X., Wei L., Luo J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti334","created_at":"2021-09-30T08:24:23.766Z","updated_at":"2021-09-30T08:24:23.766Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":251,"relation":"undefined"}],"grants":[{"id":813,"fairsharing_record_id":1804,"organisation_id":1894,"relation":"funds","created_at":"2021-09-30T09:24:45.060Z","updated_at":"2021-09-30T09:24:45.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":1894,"name":"Monsanto","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":812,"fairsharing_record_id":1804,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:45.028Z","updated_at":"2021-09-30T09:24:45.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":814,"fairsharing_record_id":1804,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.084Z","updated_at":"2021-09-30T09:24:45.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1805","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-27T11:27:54.010Z","metadata":{"doi":"10.25504/FAIRsharing.d8j0eb","name":"Database of Rice Transcription Factors","status":"deprecated","contacts":[{"contact_email":"drtf@mail.cbi.pku.edu.cn"}],"homepage":"http://drtf.cbi.pku.edu.cn/","citations":[],"identifier":1805,"description":"DRTF contains 2025 putative transcription factors (TFs) in Oryza sativa L. ssp. indica and 2384 in ssp. japonica, distributed in 63 families, identified by computational prediction and manual curation. It includes detailed annotations of each TF including sequence features, functional domains, Gene Ontology assignment, chromosomal localization, EST and microarray expression information, as well as multiple sequence alignment of the DNA-binding domains for each TF family.","abbreviation":"DRTF","data_curation":{"type":"not found"},"year_creation":2005,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000265","bsg-d000265"],"name":"FAIRsharing record for: Database of Rice Transcription Factors","abbreviation":"DRTF","url":"https://fairsharing.org/10.25504/FAIRsharing.d8j0eb","doi":"10.25504/FAIRsharing.d8j0eb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DRTF contains 2025 putative transcription factors (TFs) in Oryza sativa L. ssp. indica and 2384 in ssp. japonica, distributed in 63 families, identified by computational prediction and manual curation. It includes detailed annotations of each TF including sequence features, functional domains, Gene Ontology assignment, chromosomal localization, EST and microarray expression information, as well as multiple sequence alignment of the DNA-binding domains for each TF family.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","Deoxyribonucleic acid","Biological regulation","Transcription factor","Curated information","Messenger RNA","Transcript","Life cycle"],"taxonomies":["Oryza sativa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1222,"pubmed_id":16551659,"title":"DRTF: a database of rice transcription factors.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl107","authors":"Gao G., Zhong Y., Guo A., Zhu Q., Tang W., Zheng W., Gu X., Wei L., Luo J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl107","created_at":"2021-09-30T08:24:36.183Z","updated_at":"2021-09-30T08:24:36.183Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":252,"relation":"undefined"}],"grants":[{"id":815,"fairsharing_record_id":1805,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.110Z","updated_at":"2021-09-30T09:24:45.110Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":816,"fairsharing_record_id":1805,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:45.139Z","updated_at":"2021-09-30T09:29:59.451Z","grant_id":502,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90408015","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8229,"fairsharing_record_id":1805,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:38.940Z","updated_at":"2021-09-30T09:31:38.983Z","grant_id":1266,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"2003CB715900 (973)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1806","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-27T11:27:37.354Z","metadata":{"doi":"10.25504/FAIRsharing.sjk03h","name":"Ontology-based Knowledgebase for Cell Adhesion Molecules","status":"deprecated","contacts":[{"contact_email":"guhl@intra.nida.nih.gov"}],"homepage":"http://www.rhesusbase.org/drugDisc/CAM.jsp","citations":[],"identifier":1806,"description":"OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families.","abbreviation":"OKCAM","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2018-05-08","deprecation_reason":"Homepage (http://okcam.cbi.pku.edu.cn) states that the data within this database is now in RhesusBase (https://fairsharing.org/FAIRsharing.qkrmth) as this database is retired.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000266","bsg-d000266"],"name":"FAIRsharing record for: Ontology-based Knowledgebase for Cell Adhesion Molecules","abbreviation":"OKCAM","url":"https://fairsharing.org/10.25504/FAIRsharing.sjk03h","doi":"10.25504/FAIRsharing.sjk03h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Cell adhesion","Small molecule","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China","United States"],"publications":[{"id":278,"pubmed_id":18790807,"title":"OKCAM: an ontology-based, human-centered knowledgebase for cell adhesion molecules.","year":2008,"url":"http://doi.org/10.1093/nar/gkn568","authors":"Li CY., Liu QR., Zhang PW., Li XM., Wei L., Uhl GR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn568","created_at":"2021-09-30T08:22:49.990Z","updated_at":"2021-09-30T08:22:49.990Z"}],"licence_links":[],"grants":[{"id":817,"fairsharing_record_id":1806,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.182Z","updated_at":"2021-09-30T09:24:45.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1807","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-27T11:26:25.898Z","metadata":{"doi":"10.25504/FAIRsharing.ex3fqk","name":"Plant Transcription Factor Database","status":"ready","contacts":[{"contact_name":"Ge Gao","contact_email":"gaog@mail.cbi.pku.edu.cn"}],"homepage":"http://planttfdb.gao-lab.org/","citations":[{"doi":"10.1093/nar/gkw982","pubmed_id":null,"publication_id":1732}],"identifier":1807,"description":"Plant Transcription Factor Database (PlantTFDB) provides a resource of plant transcription factors (TFs), regulatory elements and interactions between them. In the latest version, It contains 320 370 TFs, classified into 58 families, from 165 species. Abundant functional and evolutionary annotations (e.g., GO, functional description, binding motifs, cis-element, regulation, references, orthologous groups and phylogenetic tree, etc.) are provided for identified TFs. In addition, multiple online tools are set up for TF identification, regulation prediction and functional enrichment analyses.","abbreviation":"PlantTFDB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"planttfdb@mail.cbi.pku.edu.cn","type":"Support email"},{"url":"http://planttfdb.cbi.pku.edu.cn/help.php","type":"Help documentation"},{"url":"http://plantregmap.cbi.pku.edu.cn/help.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011301","name":"re3data:r3d100011301","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003362","name":"SciCrunch:RRID:SCR_003362","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000267","bsg-d000267"],"name":"FAIRsharing record for: Plant Transcription Factor Database","abbreviation":"PlantTFDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ex3fqk","doi":"10.25504/FAIRsharing.ex3fqk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Plant Transcription Factor Database (PlantTFDB) provides a resource of plant transcription factors (TFs), regulatory elements and interactions between them. In the latest version, It contains 320 370 TFs, classified into 58 families, from 165 species. Abundant functional and evolutionary annotations (e.g., GO, functional description, binding motifs, cis-element, regulation, references, orthologous groups and phylogenetic tree, etc.) are provided for identified TFs. In addition, multiple online tools are set up for TF identification, regulation prediction and functional enrichment analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene Ontology enrichment","Annotation","Transcription factor binding site prediction","Binding site prediction","Biological regulation","Binding motif","Transcription factor","Gene regulatory element","Sequence motif"],"taxonomies":["Viridiplantae"],"user_defined_tags":["Transcription factor (TF) enrichment"],"countries":["China"],"publications":[{"id":1216,"pubmed_id":25750178,"title":"An Arabidopsis Transcriptional Regulatory Map Reveals Distinct Functional and Evolutionary Features of Novel Transcription Factors","year":2015,"url":"http://doi.org/10.1093/molbev/msv058","authors":"Jinpu Jin, Kun He, Xing Tang, Zhe Li, Le Lv, Yi Zhao, Jingchu Luo and Ge Gao","journal":"Molecular Biology and Evolution","doi":"10.1093/molbev/msv058","created_at":"2021-09-30T08:24:35.558Z","updated_at":"2021-09-30T08:24:35.558Z"},{"id":1242,"pubmed_id":24174544,"title":"PlantTFDB 3.0: a portal for the functional and evolutionary study of plant transcription factors","year":2013,"url":"http://doi.org/10.1093/nar/gkt1016","authors":"Jinpu Jin, He Zhang, Lei Kong, Ge Gao and Jingchu Luo","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1016","created_at":"2021-09-30T08:24:38.550Z","updated_at":"2021-09-30T08:24:38.550Z"},{"id":1732,"pubmed_id":null,"title":"PlantTFDB 4.0: toward a central hub for transcription factors and regulatory interactions in plants","year":2016,"url":"http://doi.org/10.1093/nar/gkw982","authors":"Jinpu Jin, Feng Tian, De-Chang Yang, Yu-Qi Meng, Lei Kong, Jingchu Luo and Ge Gao","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw982","created_at":"2021-09-30T08:25:34.147Z","updated_at":"2021-09-30T08:25:34.147Z"}],"licence_links":[],"grants":[{"id":820,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:45.277Z","updated_at":"2021-09-30T09:31:07.763Z","grant_id":1030,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2011CBA01102","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":819,"fairsharing_record_id":1807,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:45.253Z","updated_at":"2021-09-30T09:29:09.720Z","grant_id":119,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"31071160","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7911,"fairsharing_record_id":1807,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:29:40.342Z","updated_at":"2021-09-30T09:29:40.391Z","grant_id":353,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"31171242","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8382,"fairsharing_record_id":1807,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:23.059Z","updated_at":"2021-09-30T09:32:23.114Z","grant_id":1595,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"1470330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8418,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:33.219Z","updated_at":"2021-09-30T09:32:33.268Z","grant_id":1671,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2009FY120100","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8457,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:43.594Z","updated_at":"2021-09-30T09:32:43.648Z","grant_id":1750,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2006AA02Z334","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":818,"fairsharing_record_id":1807,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.220Z","updated_at":"2024-01-27T11:25:50.104Z","grant_id":null,"is_lead":true,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8134,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:08.239Z","updated_at":"2021-09-30T09:31:08.296Z","grant_id":1034,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2012AA020409","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1808","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:08.641Z","metadata":{"doi":"10.25504/FAIRsharing.32zwmn","name":"reactive oxygen species-mediated signaling pathway database","status":"deprecated","contacts":[{"contact_name":"Kong-Joo Lee","contact_email":"kjl@ewha.ac.kr"}],"homepage":"http://rospath.ewha.ac.kr/","identifier":1808,"description":"ROSPath was developed for the purpose of aiding the research of ROS-mediated signaling pathways including growth factor-, stress- and cytokine-induced signaling that are main research interests of the Division of Molecular Life Sciences and Center for Cell Signaling Research in Ewha Womans University. This record is labelled as uncertain as the homepage for this resource appears to be offline.","abbreviation":"ROSPath","data_curation":{"type":"not found"},"year_creation":2004,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000268","bsg-d000268"],"name":"FAIRsharing record for: reactive oxygen species-mediated signaling pathway database","abbreviation":"ROSPath","url":"https://fairsharing.org/10.25504/FAIRsharing.32zwmn","doi":"10.25504/FAIRsharing.32zwmn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ROSPath was developed for the purpose of aiding the research of ROS-mediated signaling pathways including growth factor-, stress- and cytokine-induced signaling that are main research interests of the Division of Molecular Life Sciences and Center for Cell Signaling Research in Ewha Womans University. This record is labelled as uncertain as the homepage for this resource appears to be offline.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":327,"pubmed_id":15289508,"title":"Multi-layered representation for cell signaling pathways.","year":2004,"url":"http://doi.org/10.1074/mcp.M400039-MCP200","authors":"Paek E., Park J., Lee KJ.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M400039-MCP200","created_at":"2021-09-30T08:22:55.101Z","updated_at":"2021-09-30T08:22:55.101Z"}],"licence_links":[],"grants":[{"id":821,"fairsharing_record_id":1808,"organisation_id":974,"relation":"maintains","created_at":"2021-09-30T09:24:45.306Z","updated_at":"2021-09-30T09:24:45.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":974,"name":"Ewha Womans University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1810","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T07:58:11.962Z","metadata":{"doi":"10.25504/FAIRsharing.x16th8","name":"RTPrimerDB","status":"deprecated","contacts":[{"contact_email":"rtprimerdb@medgen.ugent.be"}],"homepage":"http://medgen.ugent.be/rtprimerdb/","citations":[],"identifier":1810,"description":"RTPrimerDB is a public database for primer and probe sequences used in real-time PCR assays employing popular chemistries (SYBR Green I, Taqman, Hybridisation Probes, Molecular Beacon) to prevent time-consuming primer design and experimental optimisation, and to introduce a certain level of uniformity and standardisation among different laboratories.","abbreviation":"RTPrimerDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://medgen.ugent.be/rtprimerdb/index.php?faq","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and the developers have confirmed that this record should be deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000270","bsg-d000270"],"name":"FAIRsharing record for: RTPrimerDB","abbreviation":"RTPrimerDB","url":"https://fairsharing.org/10.25504/FAIRsharing.x16th8","doi":"10.25504/FAIRsharing.x16th8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RTPrimerDB is a public database for primer and probe sequences used in real-time PCR assays employing popular chemistries (SYBR Green I, Taqman, Hybridisation Probes, Molecular Beacon) to prevent time-consuming primer design and experimental optimisation, and to introduce a certain level of uniformity and standardisation among different laboratories.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12630}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","Polymerase Chain Reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":322,"pubmed_id":17068075,"title":"qPrimerDepot: a primer database for quantitative real time PCR.","year":2006,"url":"http://doi.org/10.1093/nar/gkl767","authors":"Cui W., Taub DD., Gardner K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl767","created_at":"2021-09-30T08:22:54.574Z","updated_at":"2021-09-30T08:22:54.574Z"}],"licence_links":[],"grants":[{"id":824,"fairsharing_record_id":1810,"organisation_id":428,"relation":"maintains","created_at":"2021-09-30T09:24:45.401Z","updated_at":"2021-09-30T09:24:45.401Z","grant_id":null,"is_lead":false,"saved_state":{"id":428,"name":"Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1796","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:46.467Z","metadata":{"doi":"10.25504/FAIRsharing.vs7865","name":"The Cambridge Structural Database","status":"ready","contacts":[{"contact_name":"Support Email","contact_email":"support@ccdc.cam.ac.uk","contact_orcid":"0000-0002-6062-7492"}],"homepage":"http://www.ccdc.cam.ac.uk/solutions/csd-system/components/csd/","citations":[{"doi":"10.1107/S2052520616003954","pubmed_id":27048719,"publication_id":771}],"identifier":1796,"description":"Established in 1965, the Cambridge Structural Database (CSD) is the a repository for small-molecule organic and metal-organic crystal 3D structures. Database records are automatically checked and manually curated by one of our expert in-house scientific editors. Every structure is enriched with chemical representations, as well as bibliographic, chemical and physical property information, adding further value to the raw structural data.","abbreviation":"CSD","data_curation":{"url":"https://www.ccdc.cam.ac.uk/support-and-resources/support/case/?caseid=c8bedd1f-6529-e911-b7b3-005056975d8a","type":"manual/automated","notes":"The curation software checks information in certain CIF fields, and all entries are manually curated."},"support_links":[{"url":"https://www.ccdc.cam.ac.uk/Community/blog/tags/CSD","name":"CCDC Blog","type":"Blog/News"},{"url":"https://www.ccdc.cam.ac.uk/support-and-resources/ccdcresources/CSDC-Access-Structures.pdf","name":"Search Help","type":"Help documentation"},{"url":"https://www.ccdc.cam.ac.uk/support-and-resources/ccdcresources/?ResourceType=\u0026Category=\u0026Product=0b7591ad-2201-e411-99f5-00505686f06e","name":"CSD Documentation","type":"Help documentation"},{"url":"https://www.ccdc.cam.ac.uk/CCDCStats/","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/ccdc_cambridge","name":"@ccdc_cambridge","type":"Twitter"}],"year_creation":1965,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010197","name":"re3data:r3d100010197","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007310","name":"SciCrunch:RRID:SCR_007310","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ccdc.cam.ac.uk/structures/access-structures-information","type":"partially open","notes":"A licence may be required to access a certain amount of curated data."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ccdc.cam.ac.uk/deposit/upload","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000256","bsg-d000256"],"name":"FAIRsharing record for: The Cambridge Structural Database","abbreviation":"CSD","url":"https://fairsharing.org/10.25504/FAIRsharing.vs7865","doi":"10.25504/FAIRsharing.vs7865","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Established in 1965, the Cambridge Structural Database (CSD) is the a repository for small-molecule organic and metal-organic crystal 3D structures. Database records are automatically checked and manually curated by one of our expert in-house scientific editors. Every structure is enriched with chemical representations, as well as bibliographic, chemical and physical property information, adding further value to the raw structural data.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10936},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11769},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12627},{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18427}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Organic Chemistry","Biochemistry","Organic Molecular Chemistry","Chemistry"],"domains":["Molecular structure","Protein structure","Atomic coordinate","X-ray diffraction","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":660,"pubmed_id":12037359,"title":"The Cambridge Structural Database: a quarter of a million crystal structures and rising","year":2002,"url":"http://doi.org/10.1107/s0108768102003890","authors":"F. H. Allen","journal":"Acta Crystallographica Section B","doi":"10.1107/S0108768102003890","created_at":"2021-09-30T08:23:32.852Z","updated_at":"2021-09-30T08:23:32.852Z"},{"id":771,"pubmed_id":27048719,"title":"The Cambridge Structural Database.","year":2016,"url":"http://doi.org/10.1107/S2052520616003954","authors":"Groom CR,Bruno IJ,Lightfoot MP,Ward SC","journal":"Acta Crystallogr B Struct Sci Cryst Eng Mater","doi":"10.1107/S2052520616003954","created_at":"2021-09-30T08:23:44.970Z","updated_at":"2021-09-30T08:23:44.970Z"}],"licence_links":[{"licence_name":"CSD Terms and Conditions","licence_id":206,"licence_url":"https://www.ccdc.cam.ac.uk/access-structures-terms/","link_id":2330,"relation":"undefined"}],"grants":[{"id":790,"fairsharing_record_id":1796,"organisation_id":348,"relation":"maintains","created_at":"2021-09-30T09:24:44.176Z","updated_at":"2021-09-30T09:24:44.176Z","grant_id":null,"is_lead":true,"saved_state":{"id":348,"name":"Cambridge Crystallographic Data Centre (CCDC), Cambridge, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1797","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.243Z","metadata":{"doi":"10.25504/FAIRsharing.29qx34","name":"BloodExpress","status":"deprecated","contacts":[{"contact_name":"Diego Miranda-Saavedra","contact_email":"dm435@cam.ac.uk"}],"homepage":"http://hscl.cimr.cam.ac.uk/bloodexpress/","identifier":1797,"description":"BloodExpress is a database of gene expression in mouse haematopoiesis has 271 individual microarray experiments derived from 15 distinct studies done on most characterised mouse blood cell types. Gene expression information has been discretised to absent/present/unknown calls.","abbreviation":"BloodExpress","data_curation":{"type":"not found"},"year_creation":2007,"data_versioning":"not found","deprecation_date":"2020-11-19","deprecation_reason":"This resource is no longer maintained, and its homepage is now broken.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000257","bsg-d000257"],"name":"FAIRsharing record for: BloodExpress","abbreviation":"BloodExpress","url":"https://fairsharing.org/10.25504/FAIRsharing.29qx34","doi":"10.25504/FAIRsharing.29qx34","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BloodExpress is a database of gene expression in mouse haematopoiesis has 271 individual microarray experiments derived from 15 distinct studies done on most characterised mouse blood cell types. Gene expression information has been discretised to absent/present/unknown calls.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","Cell","Stem cell","Gene expression","Hematopoiesis","DNA microarray","Blood"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1015,"pubmed_id":18987008,"title":"BloodExpress: a database of gene expression in mouse haematopoiesis.","year":2008,"url":"http://doi.org/10.1093/nar/gkn854","authors":"Miranda-Saavedra D,De S,Trotter MW,Teichmann SA,Gottgens B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn854","created_at":"2021-09-30T08:24:12.378Z","updated_at":"2021-09-30T11:28:56.809Z"}],"licence_links":[],"grants":[{"id":793,"fairsharing_record_id":1797,"organisation_id":349,"relation":"maintains","created_at":"2021-09-30T09:24:44.260Z","updated_at":"2021-09-30T09:24:44.260Z","grant_id":null,"is_lead":false,"saved_state":{"id":349,"name":"Cambridge Institute for Medical Research, University of Cambridge","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":791,"fairsharing_record_id":1797,"organisation_id":1709,"relation":"funds","created_at":"2021-09-30T09:24:44.200Z","updated_at":"2021-09-30T09:24:44.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":1709,"name":"Leukemia and Lymphoma Society, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":792,"fairsharing_record_id":1797,"organisation_id":287,"relation":"funds","created_at":"2021-09-30T09:24:44.233Z","updated_at":"2021-09-30T09:24:44.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":287,"name":"Bloodwise, London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":794,"fairsharing_record_id":1797,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:44.298Z","updated_at":"2021-09-30T09:24:44.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1798","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:50:33.354Z","metadata":{"doi":"10.25504/FAIRsharing.krvr4","name":"Erythropoiesis Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"epodb@cbil.humgen.upenn.edu"}],"homepage":"http://www.cbil.upenn.edu/EpoDB/","identifier":1798,"description":"EpoDB (Erythropoiesis database) is a database of genes that relate to vertebrate red blood cells. It includes DNA sequence, structural features, protein information, gene expression information and transcription factor binding sites.","abbreviation":"EpoDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cbil.upenn.edu/EpoDB/release/version_2.2/epodb.html","type":"Help documentation"}],"year_creation":1996,"data_versioning":"not found","associated_tools":[{"url":"http://www.cbil.upenn.edu/EpoDB/release/version_2.2/blast.html","name":"BLAST"}],"data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000258","bsg-d000258"],"name":"FAIRsharing record for: Erythropoiesis Database","abbreviation":"EpoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.krvr4","doi":"10.25504/FAIRsharing.krvr4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EpoDB (Erythropoiesis database) is a database of genes that relate to vertebrate red blood cells. It includes DNA sequence, structural features, protein information, gene expression information and transcription factor binding sites.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12628}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Biological regulation","Gene feature","Transcription factor","Protein","Gene"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1062,"pubmed_id":9847180,"title":"EpoDB: a prototype database for the analysis of genes expressed during vertebrate erythropoiesis.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.200","authors":"Stoeckert CJ., Salas F., Brunk B., Overton GC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/27.1.200","created_at":"2021-09-30T08:24:17.606Z","updated_at":"2021-09-30T08:24:17.606Z"}],"licence_links":[],"grants":[{"id":795,"fairsharing_record_id":1798,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:24:44.340Z","updated_at":"2021-09-30T09:24:44.340Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":796,"fairsharing_record_id":1798,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:44.378Z","updated_at":"2021-09-30T09:31:18.443Z","grant_id":1111,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-RR04026-08","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1799","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:48.459Z","metadata":{"doi":"10.25504/FAIRsharing.3hrbfr","name":"Automatic molecular interaction predictions","status":"ready","contacts":[{"contact_name":"Jean-Christophe Aude","contact_email":"jean-christophe.aude@cea.fr","contact_orcid":"0000-0002-1755-7417"}],"homepage":"http://biodev.extra.cea.fr/interoporc/","identifier":1799,"description":"InteroPorc is an automatic prediction tool to infer protein-protein interaction networks. It is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8.","abbreviation":"InteroPorc","data_curation":{"type":"not found"},"support_links":[{"url":"michaut.bioinfo@gmail.com","type":"Support email"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000259","bsg-d000259"],"name":"FAIRsharing record for: Automatic molecular interaction predictions","abbreviation":"InteroPorc","url":"https://fairsharing.org/10.25504/FAIRsharing.3hrbfr","doi":"10.25504/FAIRsharing.3hrbfr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InteroPorc is an automatic prediction tool to infer protein-protein interaction networks. It is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Computational biological predictions","Protein interaction","Network model","Protein","Orthologous"],"taxonomies":["Arabidopsis thaliana","Drosophila melanogaster","Escherichia coli","Helicobacter pylori","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":301,"pubmed_id":18508856,"title":"InteroPORC: automated inference of highly conserved protein interaction networks.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn249","authors":"Michaut M., Kerrien S., Montecchi-Palazzi L., Chauvat F., Cassier-Chauvat C., Aude JC., Legrain P., Hermjakob H.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn249","created_at":"2021-09-30T08:22:52.449Z","updated_at":"2021-09-30T08:22:52.449Z"}],"licence_links":[],"grants":[{"id":797,"fairsharing_record_id":1799,"organisation_id":1693,"relation":"maintains","created_at":"2021-09-30T09:24:44.415Z","updated_at":"2021-09-30T09:24:44.415Z","grant_id":null,"is_lead":false,"saved_state":{"id":1693,"name":"LBI Team (CEA)","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":800,"fairsharing_record_id":1799,"organisation_id":1057,"relation":"funds","created_at":"2021-09-30T09:24:44.540Z","updated_at":"2021-09-30T09:24:44.540Z","grant_id":null,"is_lead":false,"saved_state":{"id":1057,"name":"French Alternative Energies and Atomic Energy Commission (CEA), Gif sur Yvette, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":798,"fairsharing_record_id":1799,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:44.457Z","updated_at":"2021-09-30T09:29:01.784Z","grant_id":62,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"Biosys06_134823 SULFIRHOM","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9293,"fairsharing_record_id":1799,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.334Z","updated_at":"2022-04-11T12:07:28.352Z","grant_id":676,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902 RII3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1837","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:23:00.148Z","metadata":{"doi":"10.25504/FAIRsharing.zjdfxz","name":"Gramene: A curated, open-source, integrated data resource for comparative functional genomics in plants","status":"ready","contacts":[{"contact_name":"The Gramene Project","contact_email":"gramene@gramene.org"}],"homepage":"http://www.gramene.org","citations":[{"doi":"10.1093/nar/gkx1111","pubmed_id":29165610,"publication_id":444}],"identifier":1837,"description":"Gramene's purpose is to provide added value to plant genomics data sets available within the public sector, which will facilitate researchers' ability to understand the plant genomes and take advantage of genomic sequence known in one species for identifying and understanding corresponding genes, pathways and phenotypes in other plant species. It represents a broad spectrum of species ranging from unicellular photo-autotrophs, algae, monocots, dicots and other important taxonomic clades. Within Plant Reactome, a database portal of Gramene, there are over 60 plant genomes as well as pathways for more than 80 species.","abbreviation":"Gramene","data_curation":{"url":"https://archive.gramene.org/db/help?state=display_topic_in_context\u0026topic_name=Gramene_Documentation\u0026sticky=0","type":"manual"},"support_links":[{"url":"http://www.gramene.org/db/help","name":"Help","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCMtmq20XMccsNUaACuqQJ-w","name":"Gramene YouTube Channel","type":"Video"},{"url":"https://twitter.com/GrameneDatabase","name":"@GrameneDatabase","type":"Twitter"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://ensembl.gramene.org/common/Tools/Blast?db=core","name":"BLAST"},{"url":"http://ensembl.gramene.org/Oryza_sativa/Tools/VEP?db=core","name":"Variant Effect Predictor"},{"url":"http://ensembl.gramene.org/hmmer/index.html","name":"HMMER"},{"url":"http://ensembl.gramene.org/biomart/martview/15e087eebdfcf6b8aea253bf840b6cca","name":"Biomart"},{"url":"http://ensembl.gramene.org/Oryza_sativa/Tools/AssemblyConverter?db=core","name":"Assembly converter"},{"url":"http://ensembl.gramene.org/Oryza_sativa/Tools/IDMapper?db=core","name":"ID History Converter"},{"url":"https://plantreactome.gramene.org","name":"Plant Reactome: A knowledgebase and resource for comparative plant pathway analysis"},{"url":"https://plantreactome.gramene.org/PathwayBrowser/#TOOL=AT","name":"Plant Reactome: Pathway analysis | OMICs data analysis | pathway comparison between species |pathway enrichment"},{"url":"https://plantreactome.gramene.org/PathwayBrowser/","name":"Plant Reactome: Pathway browser"},{"url":"https://plantreactome.gramene.org/ContentService/","name":"Plant Reactome: Content and RESTFul Service"},{"url":"http://www.gramene.org/ftp-download","name":"Gramene: Bulk download"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010856","name":"re3data:r3d100010856","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002829","name":"SciCrunch:RRID:SCR_002829","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.gramene.org/cite","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://archive.gramene.org/submission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000297","bsg-d000297"],"name":"FAIRsharing record for: Gramene: A curated, open-source, integrated data resource for comparative functional genomics in plants","abbreviation":"Gramene","url":"https://fairsharing.org/10.25504/FAIRsharing.zjdfxz","doi":"10.25504/FAIRsharing.zjdfxz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gramene's purpose is to provide added value to plant genomics data sets available within the public sector, which will facilitate researchers' ability to understand the plant genomes and take advantage of genomic sequence known in one species for identifying and understanding corresponding genes, pathways and phenotypes in other plant species. It represents a broad spectrum of species ranging from unicellular photo-autotrophs, algae, monocots, dicots and other important taxonomic clades. Within Plant Reactome, a database portal of Gramene, there are over 60 plant genomes as well as pathways for more than 80 species.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11057},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11617},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11870}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Epigenomics","Genomics","Structural Genomics","Phylogenomics","Comparative Genomics","Plant Genetics"],"domains":["Gene report","Genetic map","Nucleic acid sequence alignment","Gene name","Expression data","Nucleic acid sequence","DNA sequence data","RNA sequence","Gene Ontology enrichment","Sequence annotation","Multiple sequence alignment","Genomic assembly","Computational biological predictions","Gene prediction","Differential gene expression analysis","Gene functional annotation","Gene model annotation","Gene expression","Protein sequence identification","Genetic interaction","Gene feature","Sequence alignment","Genetic marker","Pathway model","Sequence","Sequence feature","Coding sequence","Gene","Mitochondrial sequence","Plastid sequence","Chloroplast sequence","Amino acid sequence","Genome","Sequence variant"],"taxonomies":["Algae","Amborella","Arabidopsis thaliana","Brachypodium dystachyon","Bryophyta","Coffea","Cyanobacteria","Dicotyledones","Embryophyta","Hordeum","Lycopodiopsida","Medicago truncatula","Monocotyledons","Oryza","Populus trichocarpa","Solanum lycopersicum","Solanum tuberosum","Triticum","Viridiplantae","Zea mays"],"user_defined_tags":["Genome-scale network","Metabolic pathway prediction profile","Pathway Diagram"],"countries":["United Kingdom","United States"],"publications":[{"id":176,"pubmed_id":30649295,"title":"Involving community in genes and pathway curation.","year":2019,"url":"http://doi.org/10.1093/database/bay146","authors":"Naithani S,Gupta P,Preece J,Garg P,Fraser V,Padgitt-Cobb LK,Martin M,Vining K,Jaiswal P","journal":"Database (Oxford)","doi":"10.1093/database/bay146","created_at":"2021-09-30T08:22:39.297Z","updated_at":"2021-09-30T08:22:39.297Z"},{"id":293,"pubmed_id":27799469,"title":"Plant Reactome: a resource for plant pathways and comparative analysis.","year":2016,"url":"http://doi.org/10.1093/nar/gkw932","authors":"Naithani S, Preece J, D'Eustachio P, Gupta P, Amarasinghe V, Dharmawardhana PD, Wu G, Fabregat A, Elser JL, Weiser J, Keays M, Fuentes AM, Petryszak R, Stein LD, Ware D, Jaiswal P.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw932","created_at":"2021-09-30T08:22:51.532Z","updated_at":"2021-09-30T08:22:51.532Z"},{"id":295,"pubmed_id":27987178,"title":"Variant Effect Prediction Analysis Using Resources Available at Gramene Database.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6658-5_17","authors":"Naithani S, Geniza M, Jaiswal P","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6658-5_17","created_at":"2021-09-30T08:22:51.749Z","updated_at":"2021-09-30T08:22:51.749Z"},{"id":363,"pubmed_id":31680153,"title":"Plant Reactome: a knowledgebase and resource for comparative pathway analysis.","year":2019,"url":"http://doi.org/10.1093/nar/gkz996","authors":"Naithani S,Gupta P,Preece J,D'Eustachio P,Elser JL,Garg P,Dikeman DA,Kiff J,Cook J,Olson A,Wei S,Tello-Ruiz MK,Mundo AF,Munoz-Pomer A,Mohammed S,Cheng T,Bolton E,Papatheodorou I,Stein L,Ware D,Jaiswal P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz996","created_at":"2021-09-30T08:22:58.989Z","updated_at":"2021-09-30T11:28:45.891Z"},{"id":382,"pubmed_id":29165655,"title":"Expression Atlas: gene and protein expression across multiple studies and organisms.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1158","authors":"Papatheodorou I,Fonseca NA,Keays M,Tang YA,Barrera E,Bazant W,Burke M,Fullgrabe A,Fuentes AM,George N,Huerta L,Koskinen S,Mohammed S,Geniza M,Preece J,Jaiswal P,Jarnuczak AF,Huber W,Stegle O,Vizcaino JA,Brazma A,Petryszak R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1158","created_at":"2021-09-30T08:23:01.406Z","updated_at":"2021-09-30T11:28:46.133Z"},{"id":444,"pubmed_id":29165610,"title":"Gramene 2018: unifying comparative genomics and pathway resources for plant research.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1111","authors":"Tello-Ruiz MK,Naithani S,Stein JC,Gupta P,Campbell M,Wei S,Preece J,Geniza MJ,Jiao Y,Lee YK,Wang B,Mulvaney J,Chougule K,Elser J,Al-Bader N,Kumari S,Bolser DM,Naamati G,Huerta L,Keays M,D'Eustachio P,Stein LD,Papatheodorou I,Taylor C,Jaiswal P,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1111","created_at":"2021-09-30T08:23:08.181Z","updated_at":"2021-09-30T11:28:46.609Z"},{"id":447,"pubmed_id":30239679,"title":"AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.","year":2018,"url":"http://doi.org/10.1093/database/bay088","authors":"AgBioData consortium","journal":"Database (Oxford)","doi":"10.1093/database/bay088","created_at":"2021-09-30T08:23:08.533Z","updated_at":"2021-09-30T08:23:08.533Z"},{"id":478,"pubmed_id":27987175,"title":"Pathway Analysis and Omics Data Visualization Using Pathway Genome Databases: FragariaCyc, a Case Study.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6658-5_14","authors":"Naithani S,Jaiswal P","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6658-5_14","created_at":"2021-09-30T08:23:11.943Z","updated_at":"2021-09-30T08:23:11.943Z"},{"id":1050,"pubmed_id":26553803,"title":"Gramene 2016: comparative plant genomics and pathway resources.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1179","authors":"Tello-Ruiz MK,Stein J,Wei S et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1179","created_at":"2021-09-30T08:24:16.262Z","updated_at":"2021-09-30T11:28:57.475Z"},{"id":1081,"pubmed_id":31598706,"title":"Ensembl Genomes 2020-enabling non-vertebrate genomic research.","year":2019,"url":"http://doi.org/10.1093/nar/gkz890","authors":"Howe KL et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz890","created_at":"2021-09-30T08:24:19.787Z","updated_at":"2021-09-30T11:28:56.442Z"},{"id":2581,"pubmed_id":21076153,"title":"Gramene database in 2010: updates and extensions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1148","authors":"Youens-Clark K., Buckler E., Casstevens T., Chen C., Declerck G., Derwent P., Dharmawardhana P., Jaiswal P., Kersey P., Karthikeyan AS., Lu J., McCouch SR., Ren L., Spooner W., Stein JC., Thomason J., Wei S., Ware D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1148","created_at":"2021-09-30T08:27:16.494Z","updated_at":"2021-09-30T08:27:16.494Z"},{"id":2612,"pubmed_id":17984077,"title":"Gramene: a growing plant comparative genomics resource.","year":2007,"url":"http://doi.org/10.1093/nar/gkm968","authors":"Liang C., Jaiswal P., Hebbard C., Avraham S., Buckler ES., Casstevens T., Hurwitz B., McCouch S., Ni J., Pujar A., Ravenscroft D., Ren L., Spooner W., Tecle I., Thomason J., Tung CW., Wei X., Yap I., Youens-Clark K., Ware D., Stein L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm968","created_at":"2021-09-30T08:27:20.638Z","updated_at":"2021-09-30T08:27:20.638Z"},{"id":2774,"pubmed_id":28713666,"title":"Gramene Database: Navigating Plant Comparative Genomics Resources.","year":2017,"url":"http://doi.org/10.1016/j.cpb.2016.12.005","authors":"Gupta P,Naithani S,Tello-Ruiz MK,Chougule K,D'Eustachio P,Fabregat A,Jiao Y,Keays M,Lee YK,Kumari S,Mulvaney J,Olson A,Preece J,Stein J,Wei S,Weiser J,Huerta L,Petryszak R,Kersey P,Stein LD,Ware D,Jaiswal P","journal":"Curr Plant Biol","doi":"10.1016/j.cpb.2016.12.005","created_at":"2021-09-30T08:27:40.996Z","updated_at":"2021-09-30T08:27:40.996Z"},{"id":2775,"pubmed_id":33170273,"title":"Gramene 2021: harnessing the power of comparative genomics and pathways for plant research.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa979","authors":"Tello-Ruiz MK,Naithani S,Gupta P,Olson A,Wei S,Preece J,Jiao Y,Wang B,Chougule K,Garg P,Elser J,Kumari S,Kumar V, George N,Cook J,Bolser D,D'Eustachio P,Stein LD,Gupta A,Xu W, Papatheodorou I,Kersey PJ,Flicek P,Taylor C,Jaiswal P,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa979","created_at":"2021-09-30T08:27:41.161Z","updated_at":"2021-09-30T11:29:43.862Z"}],"licence_links":[{"licence_name":"Gramene Copyright Statement","licence_id":364,"licence_url":"http://www.gramene.org/node/225","link_id":1309,"relation":"undefined"}],"grants":[{"id":881,"fairsharing_record_id":1837,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:47.636Z","updated_at":"2021-09-30T09:24:47.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7992,"fairsharing_record_id":1837,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:30:17.310Z","updated_at":"2021-09-30T09:30:17.360Z","grant_id":639,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"58-1907-0-041","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8133,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:07.889Z","updated_at":"2021-09-30T09:31:07.950Z","grant_id":1031,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1127112","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":882,"fairsharing_record_id":1837,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:47.669Z","updated_at":"2021-09-30T09:24:47.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":885,"fairsharing_record_id":1837,"organisation_id":548,"relation":"maintains","created_at":"2021-09-30T09:24:47.776Z","updated_at":"2021-09-30T09:24:47.776Z","grant_id":null,"is_lead":true,"saved_state":{"id":548,"name":"Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":883,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:47.708Z","updated_at":"2021-09-30T09:29:35.763Z","grant_id":317,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0321685","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":884,"fairsharing_record_id":1837,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:47.739Z","updated_at":"2021-09-30T09:29:54.712Z","grant_id":464,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"00-52100-9622","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8212,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:34.423Z","updated_at":"2021-09-30T09:31:34.476Z","grant_id":1231,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0851652","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8397,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:27.009Z","updated_at":"2021-09-30T09:32:27.057Z","grant_id":1625,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0703908","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1833","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:20.421Z","metadata":{"doi":"10.25504/FAIRsharing.5125qd","name":"FireDB","status":"ready","contacts":[{"contact_name":"Paolo Maietta","contact_email":"pmaietta@cnio.es"}],"homepage":"http://firedb.bioinfo.cnio.es/","identifier":1833,"description":"fireDB is a database of Protein Data Bank structures, ligands and annotated functional site residues. The database can be accessed by PDB codes or UniProt accession numbers as well as keywords.","abbreviation":"FireDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://firedb.bioinfo.cnio.es/Php/Help.php","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000293","bsg-d000293"],"name":"FAIRsharing record for: FireDB","abbreviation":"FireDB","url":"https://fairsharing.org/10.25504/FAIRsharing.5125qd","doi":"10.25504/FAIRsharing.5125qd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: fireDB is a database of Protein Data Bank structures, ligands and annotated functional site residues. The database can be accessed by PDB codes or UniProt accession numbers as well as keywords.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Annotation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":348,"pubmed_id":17132832,"title":"FireDB--a database of functionally important residues from proteins of known structure.","year":2006,"url":"http://doi.org/10.1093/nar/gkl897","authors":"Lopez G., Valencia A., Tress M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl897","created_at":"2021-09-30T08:22:57.474Z","updated_at":"2021-09-30T08:22:57.474Z"},{"id":1296,"pubmed_id":24243844,"title":"FireDB: a compendium of biological and pharmacologically relevant ligands.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1127","authors":"Maietta P,Lopez G,Carro A,Pingilley BJ,Leon LG,Valencia A,Tress ML","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1127","created_at":"2021-09-30T08:24:44.673Z","updated_at":"2021-09-30T11:29:05.467Z"}],"licence_links":[],"grants":[{"id":874,"fairsharing_record_id":1833,"organisation_id":2610,"relation":"funds","created_at":"2021-09-30T09:24:47.367Z","updated_at":"2021-09-30T09:24:47.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":2610,"name":"Spanish National Cancer Research Centre (CNIO)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":873,"fairsharing_record_id":1833,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:47.287Z","updated_at":"2021-09-30T09:31:24.434Z","grant_id":1155,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2012-40205","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1834","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:02:46.342Z","metadata":{"doi":"10.25504/FAIRsharing.ntyq70","name":"The Carbohydrate-Active enZYmes Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"cazy@afmb.univ-mrs.fr"}],"homepage":"http://www.cazy.org/","identifier":1834,"description":"The CAZy database describes the families of structurally-related catalytic and carbohydrate-binding modules (or functional domains) of enzymes that degrade, modify, or create glycosidic bonds.","abbreviation":"CAZy","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.cazy.org/Help.html","type":"Help documentation"}],"year_creation":1998,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012321","name":"re3data:r3d100012321","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012909","name":"SciCrunch:RRID:SCR_012909","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.cazypedia.org/index.php/CAZypedia:About#Contributors","type":"controlled","notes":"Submitted data is assigned to a Responsible Curator based on particular expertise."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000294","bsg-d000294"],"name":"FAIRsharing record for: The Carbohydrate-Active enZYmes Database","abbreviation":"CAZy","url":"https://fairsharing.org/10.25504/FAIRsharing.ntyq70","doi":"10.25504/FAIRsharing.ntyq70","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CAZy database describes the families of structurally-related catalytic and carbohydrate-binding modules (or functional domains) of enzymes that degrade, modify, or create glycosidic bonds.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Carbohydrate","Polysaccharide","Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":24,"pubmed_id":18838391,"title":"The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn663","authors":"Cantarel BL., Coutinho PM., Rancurel C., Bernard T., Lombard V., Henrissat B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn663","created_at":"2021-09-30T08:22:22.980Z","updated_at":"2021-09-30T08:22:22.980Z"},{"id":30,"pubmed_id":24270786,"title":"The carbohydrate-active enzymes database (CAZy) in 2013.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1178","authors":"Lombard V,Golaconda Ramulu H,Drula E,Coutinho PM,Henrissat B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1178","created_at":"2021-09-30T08:22:23.553Z","updated_at":"2021-09-30T11:28:41.575Z"}],"licence_links":[],"grants":[{"id":875,"fairsharing_record_id":1834,"organisation_id":1661,"relation":"maintains","created_at":"2021-09-30T09:24:47.409Z","updated_at":"2021-09-30T09:24:47.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":1661,"name":"Laboratoire Architecture et Fonction des Macromolecules Biologiques (AFMB), Marseille, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":876,"fairsharing_record_id":1834,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:47.451Z","updated_at":"2021-09-30T09:32:38.398Z","grant_id":1712,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-10-BINF-03-04","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1835","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:49.056Z","metadata":{"doi":"10.25504/FAIRsharing.csbxzs","name":"The Diatom EST Database","status":"ready","contacts":[{"contact_name":"Chris Bowler","contact_email":"cbowler@biologie.ens.fr"}],"homepage":"http://www.biologie.ens.fr/diatomics/EST3","identifier":1835,"description":"Diatoms are photosynthetic unicellular eukaryotes that play an essential role in marine ecosystems. On a global scale, they generate around one fifth of the oxygen we breathe. On this web site we present searchable databases of diatom ESTs (expressed sequence tags) that can be used to explore diatom biology.","abbreviation":null,"data_curation":{"type":"not found"},"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000295","bsg-d000295"],"name":"FAIRsharing record for: The Diatom EST Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.csbxzs","doi":"10.25504/FAIRsharing.csbxzs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Diatoms are photosynthetic unicellular eukaryotes that play an essential role in marine ecosystems. On a global scale, they generate around one fifth of the oxygen we breathe. On this web site we present searchable databases of diatom ESTs (expressed sequence tags) that can be used to explore diatom biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Messenger RNA"],"taxonomies":["Phaeodactylum tricornutum","Thalassiosira pseudonana"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":338,"pubmed_id":19029140,"title":"Update of the Diatom EST Database: a new tool for digital transcriptomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn905","authors":"Maheswari U., Mock T., Armbrust EV., Bowler C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn905","created_at":"2021-09-30T08:22:56.383Z","updated_at":"2021-09-30T08:22:56.383Z"},{"id":1611,"pubmed_id":15608213,"title":"The Diatom EST Database.","year":2004,"url":"http://doi.org/10.1093/nar/gki121","authors":"Maheswari U,Montsant A,Goll J,Krishnasamy S,Rajyashri KR,Patell VM,Bowler C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki121","created_at":"2021-09-30T08:25:20.558Z","updated_at":"2021-09-30T11:29:15.886Z"}],"licence_links":[{"licence_name":"Diatomics Data Policies and Disclaimer","licence_id":240,"licence_url":"http://www.diatomics.biologie.ens.fr/EST3/disclaimer.html","link_id":294,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":284,"relation":"undefined"}],"grants":[{"id":877,"fairsharing_record_id":1835,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:47.500Z","updated_at":"2021-09-30T09:24:47.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1838","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T18:02:29.234Z","metadata":{"doi":"10.25504/FAIRsharing.7hxxc4","name":"PhylomeDB","status":"ready","contacts":[{"contact_name":"Toni Gabaldon","contact_email":"toni.gabaldon@bsc.es"}],"homepage":"http://phylomedb.org","citations":[{"doi":"10.1093/nar/gkab966","pubmed_id":34718760,"publication_id":3126}],"identifier":1838,"description":"PhylomeDB is a unique knowledge base providing public access to minable and browsable catalogues of pre-computed, genome-wide collections of annotated sequences, alignments and phylogenies (i.e. phylomes) of homologous genes, as well as to their corresponding phylogeny-based orthology and paralogy relationships. In addition, PhylomeDB trees and alignments can be downloaded for further processing to detect and date gene duplication events, infer past events of inter-species hybridization and horizontal gene transfer, as well as to uncover footprints of selection, introgression, gene conversion, or other relevant evolutionary processes in the genes and organisms of interests. The v5 release also represents a significant core data expansion, with the database providing access to 534 phylomes, comprising over 8 million trees, and homology relationships for genes in over 6000 species. This makes PhylomeDB the largest and most comprehensive public repository of gene phylogenies ","abbreviation":"PhylomeDB","data_curation":{"url":"http://phylomedb.org/help","type":"automated"},"support_links":[{"url":"http://phylomedb.org/faq","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://phylomedb.org/help","name":"Help","type":"Help documentation"},{"url":"https://twitter.com/phylomedb","name":"@phylomedb","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000298","bsg-d000298"],"name":"FAIRsharing record for: PhylomeDB","abbreviation":"PhylomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.7hxxc4","doi":"10.25504/FAIRsharing.7hxxc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhylomeDB is a unique knowledge base providing public access to minable and browsable catalogues of pre-computed, genome-wide collections of annotated sequences, alignments and phylogenies (i.e. phylomes) of homologous genes, as well as to their corresponding phylogeny-based orthology and paralogy relationships. In addition, PhylomeDB trees and alignments can be downloaded for further processing to detect and date gene duplication events, infer past events of inter-species hybridization and horizontal gene transfer, as well as to uncover footprints of selection, introgression, gene conversion, or other relevant evolutionary processes in the genes and organisms of interests. The v5 release also represents a significant core data expansion, with the database providing access to 534 phylomes, comprising over 8 million trees, and homology relationships for genes in over 6000 species. This makes PhylomeDB the largest and most comprehensive public repository of gene phylogenies ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Phylogeny","Phylogenetics","Phylogenomics","Life Science"],"domains":["Protein name","Sequence similarity","Taxonomic classification","Gene functional annotation","Model organism","Proteome","Conserved region","Orthologous","Genome"],"taxonomies":["All"],"user_defined_tags":["phylome","phylogenetic tree"],"countries":["Spain"],"publications":[{"id":365,"pubmed_id":17962297,"title":"PhylomeDB: a database for genome-wide collections of gene phylogenies.","year":2007,"url":"http://doi.org/10.1093/nar/gkm899","authors":"Huerta-Cepas J., Bueno A., Dopazo J., Gabaldón T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm899","created_at":"2021-09-30T08:22:59.258Z","updated_at":"2021-09-30T08:22:59.258Z"},{"id":600,"pubmed_id":21075798,"title":"PhylomeDB v3.0: an expanding repository of genome-wide collections of trees, alignments and phylogeny-based orthology and paralogy predictions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1109","authors":"Huerta-Cepas J, Capella-Gutierrez S, Pryszcz LP, Denisov I, Kormes D, Marcet-Houben M, Gabaldón T. - See more at: http://www.biosharing.org/biodbcore-000611#sthash.SMMBBe07.dpuf","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1109","created_at":"2021-09-30T08:23:25.795Z","updated_at":"2021-09-30T08:23:25.795Z"},{"id":1606,"pubmed_id":24275491,"title":"PhylomeDB v4: zooming into the plurality of evolutionary histories of a genome.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1177","authors":"Huerta-Cepas J,Capella-Gutierrez S,Pryszcz LP,Marcet-Houben M,Gabaldon T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1177","created_at":"2021-09-30T08:25:20.051Z","updated_at":"2021-09-30T11:29:15.502Z"},{"id":3126,"pubmed_id":34718760,"title":"PhylomeDB V5: an expanding repository for genome-wide catalogues of annotated gene phylogenies.","year":2021,"url":"https://doi.org/10.1093/nar/gkab966","authors":"Fuentes D, Molina M, Chorostecki U, Capella-Gutiérrez S, Marcet-Houben M, Gabaldón T","journal":"Nucleic acids research","doi":"10.1093/nar/gkab966","created_at":"2021-11-03T15:02:44.379Z","updated_at":"2021-11-03T15:02:44.379Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Generic (CC BY-NC-SA 2.0)","licence_id":179,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.0/","link_id":2462,"relation":"applies_to_content"}],"grants":[{"id":889,"fairsharing_record_id":1838,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:24:47.947Z","updated_at":"2021-09-30T09:30:02.255Z","grant_id":524,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"FP/2007-2013/ERC","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8511,"fairsharing_record_id":1838,"organisation_id":1392,"relation":"maintains","created_at":"2021-10-11T12:13:57.333Z","updated_at":"2021-10-11T12:13:57.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":1392,"name":"Institute for Research in Biomedicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":888,"fairsharing_record_id":1838,"organisation_id":2387,"relation":"funds","created_at":"2021-09-30T09:24:47.903Z","updated_at":"2021-09-30T09:30:19.347Z","grant_id":656,"is_lead":false,"saved_state":{"id":2387,"name":"Qatar National Research Fund","grant":"NPRP 5-298-3-086","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":886,"fairsharing_record_id":1838,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:47.819Z","updated_at":"2021-09-30T09:31:15.125Z","grant_id":1087,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2012-37161","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8241,"fairsharing_record_id":1838,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:31:41.782Z","updated_at":"2021-09-30T09:31:41.831Z","grant_id":1287,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"ERC-2012-StG-310325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8510,"fairsharing_record_id":1838,"organisation_id":167,"relation":"maintains","created_at":"2021-10-11T12:13:57.307Z","updated_at":"2021-10-11T12:13:57.307Z","grant_id":null,"is_lead":false,"saved_state":{"id":167,"name":"Barcelona Supercomputing Center (BSC), Barcelona, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1839","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:10.620Z","metadata":{"doi":"10.25504/FAIRsharing.k4sp7m","name":"PDB-REPRDB","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"papia-help@cbrc.jp"}],"homepage":"http://mbs.cbrc.jp/pdbreprdb-cgi/reprdb_menu.pl","identifier":1839,"description":"PDB-REPRDB is a reorganized database of protein chains from PDB(Protein Data Bank), and provides 'the list of the representative protein chains' and 'the list of similar protein chain groups'.","abbreviation":"PDB-REPRDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://mbs.cbrc.jp/pdbreprdb/howtouse/howtouse_pdbreprdb_dynamic.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000299","bsg-d000299"],"name":"FAIRsharing record for: PDB-REPRDB","abbreviation":"PDB-REPRDB","url":"https://fairsharing.org/10.25504/FAIRsharing.k4sp7m","doi":"10.25504/FAIRsharing.k4sp7m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDB-REPRDB is a reorganized database of protein chains from PDB(Protein Data Bank), and provides 'the list of the representative protein chains' and 'the list of similar protein chain groups'.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12634}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":360,"pubmed_id":12520060,"title":"PDB-REPRDB: a database of representative protein chains from the Protein Data Bank (PDB) in 2003.","year":2003,"url":"http://doi.org/10.1093/nar/gkg022","authors":"Noguchi T., Akiyama Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg022","created_at":"2021-09-30T08:22:58.707Z","updated_at":"2021-09-30T08:22:58.707Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":297,"relation":"undefined"}],"grants":[{"id":890,"fairsharing_record_id":1839,"organisation_id":2007,"relation":"funds","created_at":"2021-09-30T09:24:47.971Z","updated_at":"2021-09-30T09:24:47.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1840","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-09T09:35:40.732Z","metadata":{"doi":"10.25504/FAIRsharing.391trx","name":"Plant Genome Network","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"sgn-feedback@sgn.cornell.edu"}],"homepage":"http://pgn.cornell.edu/","citations":[],"identifier":1840,"description":"PGN is a repository for plant EST sequence data located at Cornell. It comprises an analysis pipeline and a website, and presently contains mainly data from the Floral Genome Project.","abbreviation":"PGN","data_curation":{"type":"not found"},"support_links":[{"url":"http://pgn.cornell.edu/help/","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://pgn.cornell.edu/blast/blast_search.pl","name":"BLAST"}],"deprecation_date":"2015-11-17","deprecation_reason":"This resource is no longer actively maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000300","bsg-d000300"],"name":"FAIRsharing record for: Plant Genome Network","abbreviation":"PGN","url":"https://fairsharing.org/10.25504/FAIRsharing.391trx","doi":"10.25504/FAIRsharing.391trx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PGN is a repository for plant EST sequence data located at Cornell. It comprises an analysis pipeline and a website, and presently contains mainly data from the Floral Genome Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":891,"fairsharing_record_id":1840,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:48.002Z","updated_at":"2021-09-30T09:24:48.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1197","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-18T08:39:46.322Z","metadata":{"doi":"10.25504/FAIRsharing.4c0b6b","name":"UBER anatomy ONtology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"http://uberon.org/","citations":[{"doi":"10.1186/gb-2012-13-1-r5","pubmed_id":22293552,"publication_id":933}],"identifier":1197,"description":"Uberon is an integrated cross-species anatomy ontology covering animals and bridging multiple species-specific ontologies. It represents a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data.","abbreviation":"UBERON","support_links":[{"url":"https://github.com/obophenotype/uberon/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"obo-anatomy@lists.sourceforge.net","name":"OBO Anatomy Mailing List","type":"Mailing list"},{"url":"https://github.com/obophenotype/uberon","name":"GitHub Repository","type":"Github"},{"url":"https://github.com/obophenotype/uberon/wiki/Manual","name":"User Manual","type":"Github"},{"url":"https://twitter.com/uberanat","name":"@uberanat","type":"Twitter"},{"url":"http://en.wikipedia.org/wiki/Uberon","name":"UBERON Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012,"associated_tools":[{"url":"http://uberon.github.io/browse/phenoscape.html","name":"Phenoscape"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UBERON","name":"UBERON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/uberon.html","name":"uberon","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000016","bsg-s000016"],"name":"FAIRsharing record for: UBER anatomy ONtology","abbreviation":"UBERON","url":"https://fairsharing.org/10.25504/FAIRsharing.4c0b6b","doi":"10.25504/FAIRsharing.4c0b6b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Uberon is an integrated cross-species anatomy ontology covering animals and bridging multiple species-specific ontologies. It represents a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18260},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17571},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11818},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12086},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12228},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13197},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13235}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Taxonomy","Developmental Biology","Life Science"],"domains":[],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":933,"pubmed_id":22293552,"title":"Uberon, an integrative multi-species anatomy ontology.","year":2012,"url":"http://doi.org/10.1186/gb-2012-13-1-r5","authors":"Mungall CJ,Torniai C,Gkoutos GV,Lewis SE,Haendel MA","journal":"Genome Biol","doi":"10.1186/gb-2012-13-1-r5","created_at":"2021-09-30T08:24:03.233Z","updated_at":"2021-09-30T08:24:03.233Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1460,"relation":"undefined"}],"grants":[{"id":6972,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:21.223Z","updated_at":"2021-09-30T09:29:11.162Z","grant_id":130,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U24RR029825-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6970,"fairsharing_record_id":1197,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:21.159Z","updated_at":"2021-09-30T09:29:42.962Z","grant_id":372,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-0956049","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7983,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:15.288Z","updated_at":"2021-09-30T09:30:15.343Z","grant_id":623,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41HG002273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8193,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:26.664Z","updated_at":"2021-09-30T09:31:26.705Z","grant_id":1171,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HG004838","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6969,"fairsharing_record_id":1197,"organisation_id":2881,"relation":"maintains","created_at":"2021-09-30T09:28:21.121Z","updated_at":"2021-09-30T09:28:21.121Z","grant_id":null,"is_lead":true,"saved_state":{"id":2881,"name":"UBERON administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6971,"fairsharing_record_id":1197,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:28:21.191Z","updated_at":"2021-09-30T09:30:35.243Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7874,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:18.349Z","updated_at":"2021-09-30T09:29:18.425Z","grant_id":187,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R24OD011883","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8051,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:39.444Z","updated_at":"2021-09-30T09:30:39.494Z","grant_id":810,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41HG002273-09S1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1198","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:04:59.612Z","metadata":{"doi":"10.25504/FAIRsharing.d3pqw7","name":"Quantities, Units, Dimensions and Types","status":"ready","contacts":[{"contact_name":"QUDT administrators","contact_email":"info@qudt.org"}],"homepage":"http://qudt.org/","citations":[],"identifier":1198,"description":"The QUDT, or 'Quantity, Unit, Dimension and Type' collection of ontologies define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. QUDT provides a unified model of measurable quantities, units for measuring different kinds of quantities, the numerical values of quantities in different units of measure and the data structures and data types used to store and manipulate these objects in software. This OWL schema is a foundation for a basic treatment of units. Originally developed by TopQuadrant for the NASA Exploration Initiatives Ontology Models (NExIOM) project, they now form the basis of the NASA QUDT Handbook. QUDT aims to improve interoperability of data and the specification of information structures through industry standards for Units of Measure, Quantity Kinds, Dimensions and Data Types.","abbreviation":"QUDT","support_links":[{"url":"https://github.com/qudt/qudt-public-repo/wiki/User-Guide-for-QUDT","name":"User Guide","type":"Github"},{"url":"http://github.com/qudt/qudt-public-repo","name":"GitHub Project","type":"Github"},{"url":"https://github.com/qudt/qudt-public-repo/blob/master/docs/2020-04-28%20Intro%20to%20QUDT.pdf","name":"Introduction to QUDT (PDF)","type":"Github"},{"url":"http://www.qudt.org/pages/QUDToverviewPage.html","name":"QUDT Overview","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=P5XS3VKyVZ8","name":"Introduction to the QUDT EDG Browser","type":"Video"},{"url":"info@qudt.org","type":"Support email"}],"year_creation":2011,"associated_tools":[{"url":"http://www.qudt.org/edg/tbl","name":"QUDT EDG Environment"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/QUDT","name":"QUDT","portal":"BioPortal"}]},"legacy_ids":["bsg-002801","bsg-s002801"],"name":"FAIRsharing record for: Quantities, Units, Dimensions and Types","abbreviation":"QUDT","url":"https://fairsharing.org/10.25504/FAIRsharing.d3pqw7","doi":"10.25504/FAIRsharing.d3pqw7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The QUDT, or 'Quantity, Unit, Dimension and Type' collection of ontologies define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. QUDT provides a unified model of measurable quantities, units for measuring different kinds of quantities, the numerical values of quantities in different units of measure and the data structures and data types used to store and manipulate these objects in software. This OWL schema is a foundation for a basic treatment of units. Originally developed by TopQuadrant for the NASA Exploration Initiatives Ontology Models (NExIOM) project, they now form the basis of the NASA QUDT Handbook. QUDT aims to improve interoperability of data and the specification of information structures through industry standards for Units of Measure, Quantity Kinds, Dimensions and Data Types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":["Experimental measurement","Unit"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":839,"relation":"undefined"}],"grants":[{"id":6974,"fairsharing_record_id":1198,"organisation_id":2867,"relation":"funds","created_at":"2021-09-30T09:28:21.280Z","updated_at":"2021-09-30T09:28:21.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":2867,"name":"TopQuadrant","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6976,"fairsharing_record_id":1198,"organisation_id":2392,"relation":"maintains","created_at":"2021-09-30T09:28:21.336Z","updated_at":"2021-09-30T09:28:21.336Z","grant_id":null,"is_lead":true,"saved_state":{"id":2392,"name":"QUDT.org","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6973,"fairsharing_record_id":1198,"organisation_id":957,"relation":"undefined","created_at":"2021-09-30T09:28:21.256Z","updated_at":"2021-09-30T09:28:21.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":957,"name":"European Space Agency","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6975,"fairsharing_record_id":1198,"organisation_id":1934,"relation":"funds","created_at":"2021-09-30T09:28:21.305Z","updated_at":"2021-09-30T09:28:21.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":1934,"name":"NASA Ames Research Center, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1199","type":"fairsharing_records","attributes":{"created_at":"2021-01-05T15:03:16.000Z","updated_at":"2022-09-29T09:32:12.393Z","metadata":{"doi":"10.25504/FAIRsharing.f8cd83","name":"Climate and Forecast Standard Names Parameter Vocabulary","status":"ready","contacts":[],"homepage":"http://cfconventions.org/Data/cf-standard-names/current/build/cf-standard-name-table.html","citations":[],"identifier":1199,"description":"The Climate and Forecast Standard Names Parameter Vocabulary (CF Standard Names) is intended for use with climate and forecast data in the atmosphere, surface and ocean domains. The CF Standard Names are the list of standard names used by the CF conventions. The list includes the units recommended for each standard name (most common prefixes can be used with the units, e.g. kilo (k), hecto (h), Mega (M), etc). If a standard_name metadata attribute is associated with a data variable, its value must be chosen from the list published in the standard name table. It is not compulsory within the CF conventions to assign a standard name to a data variable, but including one helps data users to understand the contents of a netCDF file. A CF standard name is not a netCDF variable name, but instead a value for the standard_name variable attribute. A standard_name attribute identifies the physical quantity of a variable.","abbreviation":"CF Standard Names","support_links":[{"url":"cf-metadata@cgd.ucar.edu","name":"Mailing List","type":"Mailing list"},{"url":"http://cfconventions.org/Data/cf-standard-names/docs/standard-name-contributors.html","name":"Contributors","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001560","bsg-s001560"],"name":"FAIRsharing record for: Climate and Forecast Standard Names Parameter Vocabulary","abbreviation":"CF Standard Names","url":"https://fairsharing.org/10.25504/FAIRsharing.f8cd83","doi":"10.25504/FAIRsharing.f8cd83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Climate and Forecast Standard Names Parameter Vocabulary (CF Standard Names) is intended for use with climate and forecast data in the atmosphere, surface and ocean domains. The CF Standard Names are the list of standard names used by the CF conventions. The list includes the units recommended for each standard name (most common prefixes can be used with the units, e.g. kilo (k), hecto (h), Mega (M), etc). If a standard_name metadata attribute is associated with a data variable, its value must be chosen from the list published in the standard name table. It is not compulsory within the CF conventions to assign a standard name to a data variable, but including one helps data users to understand the contents of a netCDF file. A CF standard name is not a netCDF variable name, but instead a value for the standard_name variable attribute. A standard_name attribute identifies the physical quantity of a variable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Atmospheric Science","Oceanography","Hydrology"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Carbon cycle","Forecasting","Sea ice"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6977,"fairsharing_record_id":1199,"organisation_id":484,"relation":"maintains","created_at":"2021-09-30T09:28:21.375Z","updated_at":"2021-09-30T09:28:21.375Z","grant_id":null,"is_lead":true,"saved_state":{"id":484,"name":"CF Metadata Conventions Governance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1200","type":"fairsharing_records","attributes":{"created_at":"2021-07-12T14:21:21.000Z","updated_at":"2023-04-19T15:41:50.869Z","metadata":{"doi":"10.25504/FAIRsharing.65cb7e","name":"MIRAGE reporting guidelines for capillary electrophoresis","status":"ready","contacts":[{"contact_name":"Dr. Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#ce_analysis","citations":[],"identifier":1200,"description":"These guidelines for glyco(proteo)mics analyzed by capillary electrophoresis (CE) aim for standardized and high quality reporting of experimental conditions in the scientific literature. The guidelines cover all aspects of a glyco(proteo)mics CE experiment including sample preparation, CE operation mode (CZE, CGE, CEC, MEKC, cIEF, cITP), instrument configuration, capillary separation conditions, detection, data analysis, and experimental descriptors.","abbreviation":"MIRAGE CE guideline","support_links":[{"url":"https://www.beilstein-institut.de/media/ce-guidelines_data_reporting_examples.pdf","name":"Data Reporting Examples for MIRAGE CE-Guidelines","type":"Help documentation"}],"year_creation":2021,"associated_tools":[]},"legacy_ids":["bsg-001623","bsg-s001623"],"name":"FAIRsharing record for: MIRAGE reporting guidelines for capillary electrophoresis","abbreviation":"MIRAGE CE guideline","url":"https://fairsharing.org/10.25504/FAIRsharing.65cb7e","doi":"10.25504/FAIRsharing.65cb7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines for glyco(proteo)mics analyzed by capillary electrophoresis (CE) aim for standardized and high quality reporting of experimental conditions in the scientific literature. The guidelines cover all aspects of a glyco(proteo)mics CE experiment including sample preparation, CE operation mode (CZE, CGE, CEC, MEKC, cIEF, cITP), instrument configuration, capillary separation conditions, detection, data analysis, and experimental descriptors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Glycomics"],"domains":["Experimental measurement","Protocol","Electrophoresis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","Singapore","United Kingdom","United States"],"publications":[{"id":3284,"pubmed_id":null,"title":"The minimum information required for a glycomics experiment (MIRAGE): reporting guidelines for capillary electrophoresis","year":2022,"url":"http://dx.doi.org/10.1093/glycob/cwac021","authors":"Lageveen-Kammeijer, Guinevere S M; Rapp, Erdmann; Chang, Deborah; Rudd, Pauline M; Kettner, Carsten; Zaia, Joseph; ","journal":"Glycobiology","doi":"10.1093/glycob/cwac021","created_at":"2022-03-30T13:45:45.956Z","updated_at":"2022-03-30T13:45:45.956Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3179,"relation":"undefined"}],"grants":[{"id":6978,"fairsharing_record_id":1200,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:28:21.408Z","updated_at":"2021-09-30T09:28:21.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6980,"fairsharing_record_id":1200,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:28:21.487Z","updated_at":"2021-09-30T09:28:21.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6981,"fairsharing_record_id":1200,"organisation_id":1790,"relation":"maintains","created_at":"2021-09-30T09:28:21.528Z","updated_at":"2021-09-30T09:28:21.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":1790,"name":"Max Planck Institute for the Dynmics of Complex Technical Systems Magdeburg","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9020,"fairsharing_record_id":1200,"organisation_id":37,"relation":"maintains","created_at":"2022-03-24T11:00:38.696Z","updated_at":"2022-03-24T11:00:38.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6979,"fairsharing_record_id":1200,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:21.445Z","updated_at":"2021-09-30T09:28:21.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWDg9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--25c9bacedf2375020a0784841ad02fc6962d19b8/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1201","type":"fairsharing_records","attributes":{"created_at":"2016-11-09T13:36:23.000Z","updated_at":"2021-11-24T13:14:28.342Z","metadata":{"doi":"10.25504/FAIRsharing.zgwrmg","name":"Minimum Information Model for tolAPC","status":"ready","contacts":[{"contact_email":"catharien.hilkens@newcastle.ac.uk"}],"homepage":"https://doi.org/10.7717/peerj.2300","identifier":1201,"description":"The minimum information model for tolAPC (MITAP) guideline is an initiative of members of the tolAPC field to provide a reporting framework that will make differences and similarities between tolAPC products transparent. Cellular therapies with tolerogenic antigen-presenting cells (tolAPC) show great promise for the treatment of autoimmune diseases and for the prevention of destructive immune responses after transplantation. The methodologies for generating tolAPC vary greatly between different laboratories, making it difficult to compare data from different studies; thus constituting a major hurdle for the development of standardised tolAPC therapeutic products. MITAP constitutes a first but important step towards the production of standardised and reproducible tolAPC for clinical application.","abbreviation":"MITAP","support_links":[{"url":"https://ia600500.us.archive.org/33/items/ontolink/mitap/","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000687","bsg-s000687"],"name":"FAIRsharing record for: Minimum Information Model for tolAPC","abbreviation":"MITAP","url":"https://fairsharing.org/10.25504/FAIRsharing.zgwrmg","doi":"10.25504/FAIRsharing.zgwrmg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The minimum information model for tolAPC (MITAP) guideline is an initiative of members of the tolAPC field to provide a reporting framework that will make differences and similarities between tolAPC products transparent. Cellular therapies with tolerogenic antigen-presenting cells (tolAPC) show great promise for the treatment of autoimmune diseases and for the prevention of destructive immune responses after transplantation. The methodologies for generating tolAPC vary greatly between different laboratories, making it difficult to compare data from different studies; thus constituting a major hurdle for the development of standardised tolAPC therapeutic products. MITAP constitutes a first but important step towards the production of standardised and reproducible tolAPC for clinical application.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12509}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunology","Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","Chile","France","Germany","Ireland","Italy","Netherlands","Norway","Serbia","Spain","Turkey","United Kingdom","United States"],"publications":[{"id":1785,"pubmed_id":27635311,"title":"Minimum information about tolerogenic antigen-presenting cells (MITAP): a first step towards reproducibility and standardisation of cellular therapies.","year":2016,"url":"http://doi.org/10.7717/peerj.2300","authors":"Lord P,Spiering R,Aguillon JC,Anderson AE,Appel S,Benitez-Ribas D,Ten Brinke A,Broere F,Cools N,Cuturi MC,Diboll J,Geissler EK,Giannoukakis N,Gregori S,van Ham SM,Lattimer S,Marshall L,Harry RA,Hutchinson JA,Isaacs JD,Joosten I,van Kooten C,Lopez Diaz de Cerio A,Nikolic T,Oral HB,Sofronic-Milosavljevic L,Ritter T,Riquelme P,Thomson AW,Trucco M,Vives-Pi M,Martinez-Caceres EM,Hilkens CM","journal":"PeerJ","doi":"10.7717/peerj.2300","created_at":"2021-09-30T08:25:40.321Z","updated_at":"2021-09-30T08:25:40.321Z"}],"licence_links":[],"grants":[{"id":6983,"fairsharing_record_id":1201,"organisation_id":926,"relation":"funds","created_at":"2021-09-30T09:28:21.654Z","updated_at":"2021-09-30T09:29:49.087Z","grant_id":418,"is_lead":false,"saved_state":{"id":926,"name":"European Cooperation in Science and Technology","grant":"Action to Focus and Accelerate Cell-based Tolerance-inducing Therapies; BM1305","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1202","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:15:43.454Z","metadata":{"doi":"10.25504/FAIRsharing.hbwfep","name":"Minimal Information for Protein Functional Evaluation","status":"uncertain","contacts":[{"contact_name":"Ario de Marco","contact_email":"ario.demarco@ifom-ieo-campus.it"}],"homepage":"http://mibbi.sourceforge.net/projects/MIPFE.shtml","identifier":1202,"description":"Reporting requirements for the evaluation of recombinant protein functionality – MIPFE version 0.1. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"MIPFE","support_links":[{"url":"davide.cittaro@ifom-ieo-campus.it","type":"Support email"},{"url":"deborah.agostini@ifom-ieo-campus.it","type":"Support email"},{"url":"http://mibbi.sourceforge.net/projects/MIPFE/docs/MIPFE_specification_v0.0.doc","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000160","bsg-s000160"],"name":"FAIRsharing record for: Minimal Information for Protein Functional Evaluation","abbreviation":"MIPFE","url":"https://fairsharing.org/10.25504/FAIRsharing.hbwfep","doi":"10.25504/FAIRsharing.hbwfep","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reporting requirements for the evaluation of recombinant protein functionality – MIPFE version 0.1. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11582},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11982}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Life Science"],"domains":["Annotation","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1684,"pubmed_id":18647423,"title":"Minimal information: an urgent need to assess the functional reliability of recombinant proteins used in biological experiments.","year":2008,"url":"http://doi.org/10.1186/1475-2859-7-20","authors":"de Marco A","journal":"Microb Cell Fact","doi":"10.1186/1475-2859-7-20","created_at":"2021-09-30T08:25:28.680Z","updated_at":"2021-09-30T08:25:28.680Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1209","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.409Z","metadata":{"doi":"10.25504/FAIRsharing.m0pprb","name":"Randomized Controlled Trials Ontology","status":"ready","contacts":[{"contact_name":"Amrapali Zaveri","contact_email":"amrapali.j.zaveri@gmail.com","contact_orcid":"0000-0003-3239-4588"}],"homepage":"http://bioportal.bioontology.org/ontologies/1676","identifier":1209,"description":"An ontology specifically for Randomized Controlled Trials in order to facilitate the production of systematic reviews and metaanalysis.","abbreviation":"RCTONT","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RCTONT","name":"RCTONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002760","bsg-s002760"],"name":"FAIRsharing record for: Randomized Controlled Trials Ontology","abbreviation":"RCTONT","url":"https://fairsharing.org/10.25504/FAIRsharing.m0pprb","doi":"10.25504/FAIRsharing.m0pprb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology specifically for Randomized Controlled Trials in order to facilitate the production of systematic reviews and metaanalysis.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12465}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Biomedical Science","Preclinical Studies"],"domains":["Evidence","Systematic review"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Singapore"],"publications":[{"id":1775,"pubmed_id":20953737,"title":"Achieving high research reporting quality through the use of computational ontologies.","year":2010,"url":"http://doi.org/10.1007/s12021-010-9079-5","authors":"Zaveri A,Cofiel L,Shah J,Pradhan S,Chan E,Dameron O,Pietrobon R,Ang BT","journal":"Neuroinformatics","doi":"10.1007/s12021-010-9079-5","created_at":"2021-09-30T08:25:39.205Z","updated_at":"2021-09-30T08:25:39.205Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":243,"relation":"undefined"}],"grants":[{"id":6998,"fairsharing_record_id":1209,"organisation_id":2054,"relation":"maintains","created_at":"2021-09-30T09:28:22.149Z","updated_at":"2021-09-30T09:28:22.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2054,"name":"National Neuroscience Institute (NNI), Singapore, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1210","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T11:11:55.000Z","updated_at":"2022-02-08T10:29:06.093Z","metadata":{"doi":"10.25504/FAIRsharing.22041b","name":"Shoreline Metadata Profile of the Content Standards for Digital Geospatial Metadata","status":"ready","contacts":[{"contact_name":"Tony LaVoi","contact_email":"tony.lavoi@noaa.gov"}],"homepage":"https://www.fgdc.gov/standards/projects/FGDC-standards-projects/metadata/shoreline-metadata/","citations":[],"identifier":1210,"description":"The Shoreline Metadata Profile provides the format and content for describing data sets related to shoreline and other coastal data sets. The metadata complies with the FGDC Content Standards for Digital Geospatial Standard. It provides additional terms and data elements required to support metadata for shoreline and coastal data sets. The profile is primarily oriented toward providing the elements necessary for documenting shoreline data and reaching a common understanding of the shoreline for national mapping purposes and other geospatial and Geographic Information Systems (GIS) applications. Shoreline data are important for coastal zone management, environmental monitoring, resource developments, legal land jurisdictional issues, ocean and meteorological modeling, engineering, construction, planning, and many other uses.","abbreviation":"SMP - CSDGM","support_links":[],"year_creation":1998},"legacy_ids":["bsg-001311","bsg-s001311"],"name":"FAIRsharing record for: Shoreline Metadata Profile of the Content Standards for Digital Geospatial Metadata","abbreviation":"SMP - CSDGM","url":"https://fairsharing.org/10.25504/FAIRsharing.22041b","doi":"10.25504/FAIRsharing.22041b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Shoreline Metadata Profile provides the format and content for describing data sets related to shoreline and other coastal data sets. The metadata complies with the FGDC Content Standards for Digital Geospatial Standard. It provides additional terms and data elements required to support metadata for shoreline and coastal data sets. The profile is primarily oriented toward providing the elements necessary for documenting shoreline data and reaching a common understanding of the shoreline for national mapping purposes and other geospatial and Geographic Information Systems (GIS) applications. Shoreline data are important for coastal zone management, environmental monitoring, resource developments, legal land jurisdictional issues, ocean and meteorological modeling, engineering, construction, planning, and many other uses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation","Geographic Information System (GIS)"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6999,"fairsharing_record_id":1210,"organisation_id":1756,"relation":"maintains","created_at":"2021-09-30T09:28:22.187Z","updated_at":"2021-09-30T09:28:22.187Z","grant_id":null,"is_lead":true,"saved_state":{"id":1756,"name":"Marine and Coastal Spatial Data (MCSD) Subcommittee, Federal Geographic Data Committee, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1211","type":"fairsharing_records","attributes":{"created_at":"2018-10-04T10:48:03.000Z","updated_at":"2024-03-06T11:52:30.403Z","metadata":{"doi":"10.25504/FAIRsharing.3b861d","name":"Data Package","status":"ready","contacts":[],"homepage":"http://frictionlessdata.io/specs/data-package/","citations":[],"identifier":1211,"description":"Data Package is a simple container format used to describe and package a collection of data. The format provides a simple contract for data interoperability that supports frictionless delivery, installation and management of data. A Data Package consists of metadata that describes the structure and contents of the package, and resources (such as data files) that form the contents of the package. The Data Package metadata is stored in a \"descriptor\". This descriptor is what makes a collection of data a Data Package. In addition to this descriptor a data package will include other resources such as data files. The Data Package specification does NOT impose any requirements on their form or structure and can therefore be used for packaging any kind of data.","abbreviation":"Data Package","support_links":[{"url":"https://discuss.okfn.org/c/frictionless-data","name":"Frictionless Data Forum","type":"Forum"},{"url":"http://frictionlessdata.io/data-packages/","name":"Data Packages Explained","type":"Help documentation"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/frictionlessdata/datapackage-js","name":"JavaScript library"},{"url":"https://github.com/frictionlessdata/datapackage-py","name":"Python library"}]},"legacy_ids":["bsg-001300","bsg-s001300"],"name":"FAIRsharing record for: Data Package","abbreviation":"Data Package","url":"https://fairsharing.org/10.25504/FAIRsharing.3b861d","doi":"10.25504/FAIRsharing.3b861d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Package is a simple container format used to describe and package a collection of data. The format provides a simple contract for data interoperability that supports frictionless delivery, installation and management of data. A Data Package consists of metadata that describes the structure and contents of the package, and resources (such as data files) that form the contents of the package. The Data Package metadata is stored in a \"descriptor\". This descriptor is what makes a collection of data a Data Package. In addition to this descriptor a data package will include other resources such as data files. The Data Package specification does NOT impose any requirements on their form or structure and can therefore be used for packaging any kind of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United Kingdom","Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1596,"relation":"undefined"}],"grants":[{"id":7000,"fairsharing_record_id":1211,"organisation_id":1063,"relation":"maintains","created_at":"2021-09-30T09:28:22.254Z","updated_at":"2021-09-30T09:28:22.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":1063,"name":"Frictionless Data, Open Knowledge International, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1212","type":"fairsharing_records","attributes":{"created_at":"2019-07-10T13:06:00.000Z","updated_at":"2022-12-27T17:28:12.524Z","metadata":{"doi":"10.25504/FAIRsharing.KfGESz","name":"Guideline for Minimum Information Stroke Research and Clinical Data Reporting","status":"ready","contacts":[{"contact_name":"Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"https://www.h3abionet.org/data-standards/datastds","citations":[{"doi":"https://doi.org/10.5334/dsj-2019-026","publication_id":2516}],"identifier":1212,"description":"The Guideline for Minimum Information Stroke Research and Clinical Data Reporting (GMISR) is a standardised reporting guideline for stroke research and clinical data reporting.","abbreviation":"GMISR","support_links":[{"url":"https://www.h3abionet.org/images/DataAndStandards/DataStandards/Recommendations_For_Use_Guideline.pdf","name":"Recommendations for Use","type":"Help documentation"}],"year_creation":2018,"associated_tools":[]},"legacy_ids":["bsg-001388","bsg-s001388"],"name":"FAIRsharing record for: Guideline for Minimum Information Stroke Research and Clinical Data Reporting","abbreviation":"GMISR","url":"https://fairsharing.org/10.25504/FAIRsharing.KfGESz","doi":"10.25504/FAIRsharing.KfGESz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Guideline for Minimum Information Stroke Research and Clinical Data Reporting (GMISR) is a standardised reporting guideline for stroke research and clinical data reporting.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12547}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Neurology","Preclinical Studies","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Ghana","Nigeria","South Africa","Tunisia"],"publications":[{"id":2516,"pubmed_id":null,"title":"Proposed Guideline for Minimum Information Stroke Research and Clinical Data Reporting.","year":2019,"url":"http://doi.org/https://doi.org/10.5334/dsj-2019-026","authors":"Kumuthini, J, Zass, L, Chaouch, M, Thompson, M, Olowoyo, P, Mbiyavanga, M, Moyinoluwalogo, F, Wells, G, Nembaware, V, Mulder, NJ, Owolabi, M and H3ABioNet Consortium’s Data and Standards Working Group as members of the H3Africa Consortium.","journal":"Data Science Journal","doi":"https://doi.org/10.5334/dsj-2019-026","created_at":"2021-09-30T08:27:08.713Z","updated_at":"2021-09-30T08:27:08.713Z"}],"licence_links":[],"grants":[{"id":7001,"fairsharing_record_id":1212,"organisation_id":1207,"relation":"maintains","created_at":"2021-09-30T09:28:22.292Z","updated_at":"2021-09-30T09:28:22.292Z","grant_id":null,"is_lead":true,"saved_state":{"id":1207,"name":"H3ABioNet","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7002,"fairsharing_record_id":1212,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:22.329Z","updated_at":"2021-09-30T09:31:13.584Z","grant_id":1073,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U41HG006941","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1213","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T15:28:22.000Z","updated_at":"2021-11-24T13:16:26.089Z","metadata":{"doi":"10.25504/FAIRsharing.8wgn56","name":"Plant names in botanical databases","status":"ready","homepage":"https://github.com/tdwg/prior-standards/tree/master/plant-names-in-botanical-databases","identifier":1213,"description":"This standard defines the taxonomic and nomenclatural concepts associated with the names of plants. It describes the component parts, their functions and their interrelations of significance in structuring a database. The appendices provide an outline of a preliminary data dictionary illustrating possible elements and their properties. It does not provide a data model or a data format. A data model will be considered at a later date by the TDWG Sub-group considering this standard. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":null,"support_links":[{"url":"https://github.com/tdwg/prior-standards/blob/master/plant-names-in-botanical-databases/113-528-1-RV.pdf","type":"Github"}],"year_creation":1995},"legacy_ids":["bsg-000631","bsg-s000631"],"name":"FAIRsharing record for: Plant names in botanical databases","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8wgn56","doi":"10.25504/FAIRsharing.8wgn56","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard defines the taxonomic and nomenclatural concepts associated with the names of plants. It describes the component parts, their functions and their interrelations of significance in structuring a database. The appendices provide an outline of a preliminary data dictionary illustrating possible elements and their properties. It does not provide a data model or a data format. A data model will be considered at a later date by the TDWG Sub-group considering this standard. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12283}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Life Science"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7003,"fairsharing_record_id":1213,"organisation_id":1612,"relation":"funds","created_at":"2021-09-30T09:28:22.368Z","updated_at":"2021-09-30T09:28:22.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":1612,"name":"JRS Biodiversity Foundation, Seattle, WA, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7004,"fairsharing_record_id":1213,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:28:22.399Z","updated_at":"2021-09-30T09:28:22.399Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7005,"fairsharing_record_id":1213,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:22.427Z","updated_at":"2021-09-30T09:28:22.427Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1214","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:14:20.738Z","metadata":{"doi":"10.25504/FAIRsharing.svzbnp","name":"DEscription Language for TAxonomy","status":"ready","contacts":[{"contact_name":"M. J. Dallwitz","contact_email":"dallwitz.m@gmail.com"}],"homepage":"http://www.tdwg.org/standards/107/","identifier":1214,"description":"When taxonomic descriptions are prepared for input to computer programs, the form of the coding is usually dictated by the requirements of a particular program or set of programs. This restricts the type of data that can be represented, and the number of other programs that can use the data. Even when working with a particular program, it is frequently necessary to set up different versions of the same basic data, for example, when using restricted sets of taxa or characters to make special-purpose keys. The potential advantages of automation, especially in connexion with large groups, cannot be realized if the data have to be restructured by hand for every operation. The DELTA (DEscription Language for TAxonomy) system was developed to overcome these problems. It was designed primarily for easy use by people rather than for convenience in computer programming, and is versatile enough to replace the written description as the primary means of recording data. Consequently, it can be used as a shorthand method of recording data, even if computer processing of the data is not envisaged.","abbreviation":"DELTA","support_links":[{"url":"http://delta-intkey.com/www/delta-l.htm","type":"Mailing list"},{"url":"http://delta-intkey.com/","type":"Help documentation"}],"year_creation":1980},"legacy_ids":["bsg-000200","bsg-s000200"],"name":"FAIRsharing record for: DEscription Language for TAxonomy","abbreviation":"DELTA","url":"https://fairsharing.org/10.25504/FAIRsharing.svzbnp","doi":"10.25504/FAIRsharing.svzbnp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: When taxonomic descriptions are prepared for input to computer programs, the form of the coding is usually dictated by the requirements of a particular program or set of programs. This restricts the type of data that can be represented, and the number of other programs that can use the data. Even when working with a particular program, it is frequently necessary to set up different versions of the same basic data, for example, when using restricted sets of taxa or characters to make special-purpose keys. The potential advantages of automation, especially in connexion with large groups, cannot be realized if the data have to be restructured by hand for every operation. The DELTA (DEscription Language for TAxonomy) system was developed to overcome these problems. It was designed primarily for easy use by people rather than for convenience in computer programming, and is versatile enough to replace the written description as the primary means of recording data. Consequently, it can be used as a shorthand method of recording data, even if computer processing of the data is not envisaged.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12267}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":7006,"fairsharing_record_id":1214,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:22.457Z","updated_at":"2021-09-30T09:28:22.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7009,"fairsharing_record_id":1214,"organisation_id":145,"relation":"funds","created_at":"2021-09-30T09:28:22.554Z","updated_at":"2021-09-30T09:28:22.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":145,"name":"Australian National Parks and Wildlife Service, Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7007,"fairsharing_record_id":1214,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:22.482Z","updated_at":"2021-09-30T09:28:22.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7008,"fairsharing_record_id":1214,"organisation_id":132,"relation":"undefined","created_at":"2021-09-30T09:28:22.511Z","updated_at":"2021-09-30T09:28:22.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":132,"name":"Atlas of Living Australia, Australia","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1215","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.847Z","metadata":{"doi":"10.25504/FAIRsharing.mad142","name":"Minimum Information about a Nutrigenomics experiment","status":"deprecated","contacts":[{"contact_name":"Philippe Rocca-Serra","contact_email":"philippe.rocca-serra@oerc.ox.ac.uk","contact_orcid":"0000-0001-9853-5668"}],"homepage":"http://mibbi.sourceforge.net/projects/MIAME-Nutr.shtml","identifier":1215,"description":"MIAME/Nutr was developed to extend MIAME for array-based nutrigenomics experiments.","abbreviation":"MIAME/Nutr","year_creation":2004,"deprecation_date":"2018-04-25","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000190","bsg-s000190"],"name":"FAIRsharing record for: Minimum Information about a Nutrigenomics experiment","abbreviation":"MIAME/Nutr","url":"https://fairsharing.org/10.25504/FAIRsharing.mad142","doi":"10.25504/FAIRsharing.mad142","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME/Nutr was developed to extend MIAME for array-based nutrigenomics experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11584},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11984}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Nutritional Science","Transcriptomics"],"domains":["Expression data","Deoxyribonucleic acid","Nutrient","Ribonucleic acid","Nucleic acid hybridization","DNA microarray","Genome"],"taxonomies":["All"],"user_defined_tags":["Cistrome"],"countries":["United Kingdom"],"publications":[{"id":850,"pubmed_id":16901222,"title":"A strategy capitalizing on synergies: the Reporting Structure for Biological Investigation (RSBI) working group.","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.164","authors":"Sansone SA,Rocca-Serra P,Tong W,Fostel J,Morrison N,Jones AR","journal":"OMICS","doi":"10.1089/omi.2006.10.164","created_at":"2021-09-30T08:23:53.822Z","updated_at":"2021-09-30T08:23:53.822Z"}],"licence_links":[],"grants":[{"id":9257,"fairsharing_record_id":1215,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.835Z","updated_at":"2022-04-11T12:07:25.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1217","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2021-11-24T13:14:28.479Z","metadata":{"doi":"10.25504/FAIRsharing.b82qvn","name":"Congenital Heart Defects Ontology","status":"ready","contacts":[{"contact_name":"Charalampos Moschopoulos","contact_email":"cmoschop@esat.kuleuven.be"}],"homepage":"https://bioportal.bioontology.org/ontologies/CHD/?p=summary","identifier":1217,"description":"Congenital Heart Defects Ontology (CHD) is a standard that represents the ontology of CHD.","abbreviation":"CHD","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHD","name":"CHD","portal":"BioPortal"}]},"legacy_ids":["bsg-000837","bsg-s000837"],"name":"FAIRsharing record for: Congenital Heart Defects Ontology","abbreviation":"CHD","url":"https://fairsharing.org/10.25504/FAIRsharing.b82qvn","doi":"10.25504/FAIRsharing.b82qvn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Congenital Heart Defects Ontology (CHD) is a standard that represents the ontology of CHD.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Annotation","Heart"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1218","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T13:05:44.000Z","updated_at":"2022-02-08T10:29:15.888Z","metadata":{"doi":"10.25504/FAIRsharing.b49fab","name":"UK GEo-spatial Metadata INteroperability iNItiative Metadata Standard","status":"ready","contacts":[{"contact_name":"UK GEMINI General Contact","contact_email":"gemini@agi.org.uk"}],"homepage":"https://www.agi.org.uk/agi-groups/standards-committee/uk-gemini","citations":[],"identifier":1218,"description":"The UK GEMINI standard specifies a set of metadata elements for describing geographic information resources. These resources may be datasets, dataset series, services delivering geographic data, or any other information resource with a geospatial content. This includes datasets that relate to a limited geographic area. The data resources may be graphical or textual (tabular or free text), hardcopy or digital. The metadata elements are intended for use in a metadata service for discovering what data resources exist. The aim of UK GEMINI is to provide a core set of metadata elements for use in a UK geospatial metadata service, that are compatible with the INSPIRE requirements for metadata. It does not preclude organisations recording additional metadata elements for their own internal business purposes. GEMINI 2.3, released in June 2018, does not include any changes related to the publication of ISO 19115-1:2014; GEMINI remains based on ISO 19115:2003.","abbreviation":"UK GEMINI","support_links":[{"url":"https://www.agi.org.uk/gemini/40-gemini/1053-common-metadata-errors-uk-location-discovery-metadata-service","name":"Common Metadata Errors","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1052-metadata-guidelines-for-geospatial-data-resources-part-1","name":"Metadata Guidelines for Geospatial Data Resources - Part 1","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1049-metadata-guidelines-for-geospatial-data-resources-part-2","name":"Metadata Guidelines for Geospatial Data Resources - Part 2","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1037-uk-gemini-standard-and-inspire-implementing-rules","name":"UK GEMINI v2.3 specification","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1056-glossary","name":"UK GEMINI Glossary","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1051-uk-gemini-v2-2-specification-for-discovery-metadata-for-geospatial-resources","name":"UK GEMINI v2.2 Specification","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1047-metadata-guidelines-for-geospatial-data-resources-part-3","name":"Metadata Guidelines for Geospatial Data Resources - Part 3","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001314","bsg-s001314"],"name":"FAIRsharing record for: UK GEo-spatial Metadata INteroperability iNItiative Metadata Standard","abbreviation":"UK GEMINI","url":"https://fairsharing.org/10.25504/FAIRsharing.b49fab","doi":"10.25504/FAIRsharing.b49fab","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK GEMINI standard specifies a set of metadata elements for describing geographic information resources. These resources may be datasets, dataset series, services delivering geographic data, or any other information resource with a geospatial content. This includes datasets that relate to a limited geographic area. The data resources may be graphical or textual (tabular or free text), hardcopy or digital. The metadata elements are intended for use in a metadata service for discovering what data resources exist. The aim of UK GEMINI is to provide a core set of metadata elements for use in a UK geospatial metadata service, that are compatible with the INSPIRE requirements for metadata. It does not preclude organisations recording additional metadata elements for their own internal business purposes. GEMINI 2.3, released in June 2018, does not include any changes related to the publication of ISO 19115-1:2014; GEMINI remains based on ISO 19115:2003.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Association for Geographic Information Terms and Conditions","licence_id":904,"licence_url":"https://www.agi.org.uk/website-terms-and-conditions/","link_id":2578,"relation":"applies_to_content"}],"grants":[{"id":7011,"fairsharing_record_id":1218,"organisation_id":324,"relation":"maintains","created_at":"2021-09-30T09:28:22.697Z","updated_at":"2021-09-30T09:28:22.697Z","grant_id":null,"is_lead":true,"saved_state":{"id":324,"name":"British Standards Institution (BSI) IST/36 Standards Committee, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1219","type":"fairsharing_records","attributes":{"created_at":"2018-05-22T11:13:28.000Z","updated_at":"2022-10-26T13:47:09.710Z","metadata":{"doi":"10.25504/FAIRsharing.N8KDKt","name":"Metabolomics Workbench Tabular File Format","status":"ready","contacts":[{"contact_name":"Shankar Subramaniam","contact_email":"shankar@ucsd.edu"}],"homepage":"http://www.metabolomicsworkbench.org/data/tutorials.php","citations":[],"identifier":1219,"description":"mwTab is a format developed by the Metabolomics Workbench to facilitate programmatic processing of data suitable for submission to the Workbench. It provides a structure for both metadata and experimentally measured data. The mwTab format consists of sequentially ordered blocks (sections) of text data. Some of the blocks consist of data represented by ‘single key to single value’ relationships that store single pieces of information. Other blocks consist of multiple ‘tab’-separated values via ‘single key to multiple values’ or ‘multiple keys to multiple values’ relationships that store multiple pieces of information in an organized manner analogous to a relational table.","abbreviation":"mwTab","support_links":[{"url":"webmaster@metabolomicsworkbench.org","name":"Website contact","type":"Support email"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/MoseleyBioinformaticsLab/mwtab","name":"mwtab Python Library"}]},"legacy_ids":["bsg-001215","bsg-s001215"],"name":"FAIRsharing record for: Metabolomics Workbench Tabular File Format","abbreviation":"mwTab","url":"https://fairsharing.org/10.25504/FAIRsharing.N8KDKt","doi":"10.25504/FAIRsharing.N8KDKt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mwTab is a format developed by the Metabolomics Workbench to facilitate programmatic processing of data suitable for submission to the Workbench. It provides a structure for both metadata and experimentally measured data. The mwTab format consists of sequentially ordered blocks (sections) of text data. Some of the blocks consist of data represented by ‘single key to single value’ relationships that store single pieces of information. Other blocks consist of multiple ‘tab’-separated values via ‘single key to multiple values’ or ‘multiple keys to multiple values’ relationships that store multiple pieces of information in an organized manner analogous to a relational table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Metabolomics"],"domains":["Workflow"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1225,"pubmed_id":26467476,"title":"Metabolomics Workbench: An international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1042","authors":"Sud M,Fahy E,Cotter D,Azam K,Vadivelu I,Burant C,Edison A,Fiehn O,Higashi R,Nair KS,Sumner S,Subramaniam S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1042","created_at":"2021-09-30T08:24:36.598Z","updated_at":"2021-09-30T11:29:03.392Z"},{"id":2899,"pubmed_id":29706851,"title":"A Python library for FAIRer access and deposition to the Metabolomics Workbench Data Repository.","year":2018,"url":"http://doi.org/10.1007/s11306-018-1356-6","authors":"Smelter A,Moseley HNB","journal":"Metabolomics","doi":"10.1007/s11306-018-1356-6","created_at":"2021-09-30T08:27:57.024Z","updated_at":"2021-09-30T08:27:57.024Z"}],"licence_links":[{"licence_name":"Metabolomics Workbench Attribution required","licence_id":505,"licence_url":"https://www.metabolomicsworkbench.org/about/howtocite.php","link_id":2214,"relation":"undefined"},{"licence_name":"Metabolomics Workbench Terms of Use","licence_id":506,"licence_url":"https://www.metabolomicsworkbench.org/about/termsofuse.php","link_id":2210,"relation":"undefined"}],"grants":[{"id":8255,"fairsharing_record_id":1219,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:31:45.935Z","updated_at":"2022-08-10T15:49:16.873Z","grant_id":1317,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"EC312941","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9789,"fairsharing_record_id":1219,"organisation_id":3656,"relation":"funds","created_at":"2022-08-10T16:16:35.766Z","updated_at":"2022-08-10T16:16:35.766Z","grant_id":1890,"is_lead":false,"saved_state":{"id":3656,"name":"Phenome and Metabolome aNalysis (PhenoMeNal) Large-Scale Computing for Medical Metabolomics","grant":"European Commission's Horizon 2020 Programme Project: PhenoMeNal: A comprehensive and standardised e-infrastructure for analysing medical metabolic phenotype data (Grant D: 654241).","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9791,"fairsharing_record_id":1219,"organisation_id":3658,"relation":"collaborates_on","created_at":"2022-08-10T16:16:35.842Z","updated_at":"2022-08-10T16:16:35.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":3658,"name":"The Metabolome Facility of Bordeaux Functional Genomics Centre (MFB)","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":7298,"fairsharing_record_id":1219,"organisation_id":917,"relation":"associated_with","created_at":"2021-09-30T09:28:33.015Z","updated_at":"2022-08-10T16:16:35.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"associated_with"}},{"id":10042,"fairsharing_record_id":1219,"organisation_id":2799,"relation":"collaborates_on","created_at":"2022-10-13T09:43:42.271Z","updated_at":"2022-10-13T09:43:42.271Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre, Canada","types":["Undefined"],"is_lead":false,"relation":"collaborates_on"}},{"id":10043,"fairsharing_record_id":1219,"organisation_id":1707,"relation":"collaborates_on","created_at":"2022-10-13T09:43:42.360Z","updated_at":"2022-10-13T09:43:42.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":1707,"name":"Leon Levy Foundation","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1179","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:03:39.512Z","metadata":{"doi":"10.25504/FAIRsharing.sxh2dp","name":"HUPO PSI Mass Spectrometry Controlled Vocabulary","status":"ready","contacts":[{"contact_email":"psidev-ms-vocab@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/groups/mass-spectrometry#controlled","citations":[{"doi":"10.1093/database/bat009","pubmed_id":23482073,"publication_id":976}],"identifier":1179,"description":"The PSI-MS Controlled Vocabulary is developed in common with the PSI-Proteomics Informatics group. It consists of a large collection of structured terms covering description and use of Mass Spectrometry instrumentation as well as Protein Identification and Quantitation software. The source of the terms are multiple: they include vocabulary and definitions in chapter 12 of the IUPAC nomenclature book, instrument and software vendors and developers and other user-submitted terms. Although its structure and use is linked to mzML, mzIdentML and mzQuantML, it is dynamically maintained in a OBO format. The PSI-Mass Spectrometry (MS) CV contains all the terms used in the PSI MS–related data standards. The CV contains a logical hierarchical structure to ensure ease of maintenance and the development of software that makes use of complex semantics. The CV contains terms required for a complete description of an MS analysis pipeline used in proteomics, including sample labeling, digestion enzymes, instrumentation parts and parameters, software used for identification and quantification of peptides/proteins and the parameters and scores used to determine their significance. Owing to the range of topics covered by the CV, collaborative development across several PSI working groups, including proteomics research groups, instrument manufacturers and software vendors, was necessary.","abbreviation":"PSI-MS CV","support_links":[{"url":"http://www.psidev.info/groups/controlled-vocabularies","type":"Help documentation"},{"url":"https://github.com/HUPO-PSI/psi-ms-CV","name":"GitHub Repository","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MS","name":"MS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ms.html","name":"ms","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000068","bsg-s000068"],"name":"FAIRsharing record for: HUPO PSI Mass Spectrometry Controlled Vocabulary","abbreviation":"PSI-MS CV","url":"https://fairsharing.org/10.25504/FAIRsharing.sxh2dp","doi":"10.25504/FAIRsharing.sxh2dp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PSI-MS Controlled Vocabulary is developed in common with the PSI-Proteomics Informatics group. It consists of a large collection of structured terms covering description and use of Mass Spectrometry instrumentation as well as Protein Identification and Quantitation software. The source of the terms are multiple: they include vocabulary and definitions in chapter 12 of the IUPAC nomenclature book, instrument and software vendors and developers and other user-submitted terms. Although its structure and use is linked to mzML, mzIdentML and mzQuantML, it is dynamically maintained in a OBO format. The PSI-Mass Spectrometry (MS) CV contains all the terms used in the PSI MS–related data standards. The CV contains a logical hierarchical structure to ensure ease of maintenance and the development of software that makes use of complex semantics. The CV contains terms required for a complete description of an MS analysis pipeline used in proteomics, including sample labeling, digestion enzymes, instrumentation parts and parameters, software used for identification and quantification of peptides/proteins and the parameters and scores used to determine their significance. Owing to the range of topics covered by the CV, collaborative development across several PSI working groups, including proteomics research groups, instrument manufacturers and software vendors, was necessary.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11020},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11142},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11264},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11425}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":976,"pubmed_id":23482073,"title":"The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary.","year":2013,"url":"http://doi.org/10.1093/database/bat009","authors":"Mayer G,Montecchi-Palazzi L,Ovelleiro D,Jones AR,Binz PA,Deutsch EW,Chambers M,Kallhardt M,Levander F,Shofstahl J,Orchard S,Vizcaino JA,Hermjakob H,Stephan C,Meyer HE,Eisenacher M","journal":"Database (Oxford)","doi":"10.1093/database/bat009","created_at":"2021-09-30T08:24:07.972Z","updated_at":"2021-09-30T08:24:07.972Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":158,"relation":"undefined"}],"grants":[{"id":6926,"fairsharing_record_id":1179,"organisation_id":2376,"relation":"funds","created_at":"2021-09-30T09:28:19.143Z","updated_at":"2021-09-30T09:28:19.143Z","grant_id":null,"is_lead":false,"saved_state":{"id":2376,"name":"Protein Unit for Research in Europe (PURE)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6932,"fairsharing_record_id":1179,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:28:19.388Z","updated_at":"2021-09-30T09:28:19.388Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6931,"fairsharing_record_id":1179,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:19.356Z","updated_at":"2021-09-30T09:31:45.067Z","grant_id":1310,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT085949MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8312,"fairsharing_record_id":1179,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:32:01.758Z","updated_at":"2021-09-30T09:32:01.806Z","grant_id":1435,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"P50 GM076547","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6927,"fairsharing_record_id":1179,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:19.186Z","updated_at":"2021-09-30T09:28:19.186Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6928,"fairsharing_record_id":1179,"organisation_id":1734,"relation":"funds","created_at":"2021-09-30T09:28:19.235Z","updated_at":"2021-09-30T09:28:19.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":1734,"name":"Luxembourg Centre for Systems Biomedicine (LCSB), Luxembourg, Luxembourg","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6925,"fairsharing_record_id":1179,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:19.106Z","updated_at":"2021-09-30T09:30:49.973Z","grant_id":892,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01 GM087221","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6930,"fairsharing_record_id":1179,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:19.319Z","updated_at":"2021-09-30T09:30:56.450Z","grant_id":944,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000909/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6929,"fairsharing_record_id":1179,"organisation_id":2378,"relation":"funds","created_at":"2021-09-30T09:28:19.277Z","updated_at":"2021-09-30T09:31:35.310Z","grant_id":1237,"is_lead":false,"saved_state":{"id":2378,"name":"ProteomeXchange","grant":"EU FP7 grant number 260558","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8292,"fairsharing_record_id":1179,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:56.141Z","updated_at":"2021-09-30T09:31:56.199Z","grant_id":1394,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/H024654/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1180","type":"fairsharing_records","attributes":{"created_at":"2021-05-26T13:29:20.000Z","updated_at":"2024-03-27T22:40:23.648Z","metadata":{"doi":"10.25504/FAIRsharing.cf62c2","name":"Data, Optimization, Model and Evaluation in Machine Learning","status":"ready","contacts":[{"contact_name":"Fotis E. Psomopoulos","contact_email":"fpsom@certh.gr"}],"homepage":"https://dome-ml.org/","citations":[{"doi":"10.1038/s41592-021-01205-4","pubmed_id":null,"publication_id":3287}],"identifier":1180,"description":"Data, Optimization, Model and Evaluation in Machine Learning (DOME-ML, or DOME) is a set of community-wide guidelines, recommendations and checklists spanning these four areas aiming to help establish standards of supervised machine learning validation in biology. The recommendations are formulated as questions to anyone wishing to pursue implementation of a machine learning algorithm. Answers to these questions can be included, for example, in the supplementary material of published papers.","abbreviation":"DOME-ML","support_links":[{"url":"https://github.com/MachineLearning-ELIXIR/dome-ml","name":"GitHub Project","type":"Github"},{"url":"https://github.com/MachineLearning-ELIXIR/dome-ml/tree/main/data","name":"Examples of Use","type":"Github"}],"year_creation":2021},"legacy_ids":["bsg-001610","bsg-s001610"],"name":"FAIRsharing record for: Data, Optimization, Model and Evaluation in Machine Learning","abbreviation":"DOME-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.cf62c2","doi":"10.25504/FAIRsharing.cf62c2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data, Optimization, Model and Evaluation in Machine Learning (DOME-ML, or DOME) is a set of community-wide guidelines, recommendations and checklists spanning these four areas aiming to help establish standards of supervised machine learning validation in biology. The recommendations are formulated as questions to anyone wishing to pursue implementation of a machine learning algorithm. Answers to these questions can be included, for example, in the supplementary material of published papers.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19498}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biology"],"domains":["Validation","Algorithm","Machine learning"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":3287,"pubmed_id":null,"title":"DOME: recommendations for supervised machine learning validation in biology","year":2021,"url":"http://dx.doi.org/10.1038/s41592-021-01205-4","authors":"Walsh, Ian; Fishman, Dmytro; Garcia-Gasulla, Dario; Titma, Tiina; Pollastri, Gianluca; Capriotti, Emidio; Casadio, Rita; Capella-Gutierrez, Salvador; Cirillo, Davide; Del Conte, Alessio; Dimopoulos, Alexandros C.; Del Angel, Victoria Dominguez; Dopazo, Joaquin; Fariselli, Piero; Fernández, José Maria; Huber, Florian; Kreshuk, Anna; Lenaerts, Tom; Martelli, Pier Luigi; Navarro, Arcadi; Broin, Pilib Ó; Piñero, Janet; Piovesan, Damiano; Reczko, Martin; Ronzano, Francesco; Satagopam, Venkata; Savojardo, Castrense; Spiwok, Vojtech; Tangaro, Marco Antonio; Tartari, Giacomo; Salgado, David; Valencia, Alfonso; Zambelli, Federico; Harrow, Jennifer; Psomopoulos, Fotis E.; Tosatto, Silvio C. E.; undefined, undefined; ","journal":"Nat Methods","doi":"10.1038/s41592-021-01205-4","created_at":"2022-03-31T08:53:04.402Z","updated_at":"2022-03-31T08:53:04.402Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1328,"relation":"undefined"}],"grants":[{"id":10006,"fairsharing_record_id":1180,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.584Z","updated_at":"2022-10-13T09:43:38.584Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":6933,"fairsharing_record_id":1180,"organisation_id":845,"relation":"maintains","created_at":"2021-09-30T09:28:19.469Z","updated_at":"2021-09-30T09:28:19.469Z","grant_id":null,"is_lead":true,"saved_state":{"id":845,"name":"ELIXIR Machine Learning Focus Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1181","type":"fairsharing_records","attributes":{"created_at":"2020-12-10T11:40:05.000Z","updated_at":"2022-07-20T12:06:04.503Z","metadata":{"doi":"10.25504/FAIRsharing.4e6af5","name":"UK Archival Thesaurus","status":"ready","contacts":[],"homepage":"https://ukat.aim25.com/","citations":[],"identifier":1181,"description":"UK Archival Thesaurus (UKAT) is a subject thesaurus created for the archive sector in the United Kingdom. It is a controlled vocabulary that archives can use when indexing their collections and catalogues. It is intended to improve access to archives by subject, ensure that users of archives can carry out effective subject searches of archives across the UK, and promote the involvement in archives by groups which are under-represented among archive users by providing subject terms which reflect their histories and experiences. UKAT is based on the structure of the UNESCO Thesaurus, and covers education, science, culture, social/human sciences, information, communication, politics, law and economics. UNESCO was used as the basis for UKAT because a number of archives and archive projects, including The Archives Hub, had adopted it for indexing purposes. However, UNESCO sometimes lacks the depth of detailed terminology required by UK archives. UKAT therefore incorporates terms that UK repositories and projects have contributed, or have been sourced from other schemes such as Library of Congress Subject Headings and the British Education Thesaurus. Particular emphasis has been given to incorporating terms reflecting the histories and experiences of groups that are under-represented among archive users. This aims to encourage participation in archival heritage, in line with national priorities for the sector.","abbreviation":"UKAT","support_links":[{"url":"https://ukat.aim25.com/contact-us/","name":"Contact Form","type":"Contact form"}],"year_creation":2003},"legacy_ids":["bsg-001556","bsg-s001556"],"name":"FAIRsharing record for: UK Archival Thesaurus","abbreviation":"UKAT","url":"https://fairsharing.org/10.25504/FAIRsharing.4e6af5","doi":"10.25504/FAIRsharing.4e6af5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UK Archival Thesaurus (UKAT) is a subject thesaurus created for the archive sector in the United Kingdom. It is a controlled vocabulary that archives can use when indexing their collections and catalogues. It is intended to improve access to archives by subject, ensure that users of archives can carry out effective subject searches of archives across the UK, and promote the involvement in archives by groups which are under-represented among archive users by providing subject terms which reflect their histories and experiences. UKAT is based on the structure of the UNESCO Thesaurus, and covers education, science, culture, social/human sciences, information, communication, politics, law and economics. UNESCO was used as the basis for UKAT because a number of archives and archive projects, including The Archives Hub, had adopted it for indexing purposes. However, UNESCO sometimes lacks the depth of detailed terminology required by UK archives. UKAT therefore incorporates terms that UK repositories and projects have contributed, or have been sourced from other schemes such as Library of Congress Subject Headings and the British Education Thesaurus. Particular emphasis has been given to incorporating terms reflecting the histories and experiences of groups that are under-represented among archive users. This aims to encourage participation in archival heritage, in line with national priorities for the sector.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Culture","Social Science","Education Science","Natural Science","Cultural Studies","Political Science","Communication Science"],"domains":["Resource collection"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6934,"fairsharing_record_id":1181,"organisation_id":1315,"relation":"maintains","created_at":"2021-09-30T09:28:19.510Z","updated_at":"2021-09-30T09:28:19.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":1315,"name":"IMAGIZ, London, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6935,"fairsharing_record_id":1181,"organisation_id":2047,"relation":"funds","created_at":"2021-09-30T09:28:19.551Z","updated_at":"2021-09-30T09:28:19.551Z","grant_id":null,"is_lead":false,"saved_state":{"id":2047,"name":"National Lottery Heritage Fund, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6936,"fairsharing_record_id":1181,"organisation_id":2807,"relation":"funds","created_at":"2021-09-30T09:28:19.590Z","updated_at":"2021-09-30T09:28:19.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":2807,"name":"The National Archives, Kew, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6937,"fairsharing_record_id":1181,"organisation_id":107,"relation":"maintains","created_at":"2021-09-30T09:28:19.627Z","updated_at":"2021-09-30T09:28:19.627Z","grant_id":null,"is_lead":true,"saved_state":{"id":107,"name":"Archives in London and the M25 (AIM25), London, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1206","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-29T08:54:25.570Z","metadata":{"doi":"10.25504/FAIRsharing.a55z32","name":"Minimal Information about a high throughput SEQuencing Experiment","status":"ready","contacts":[],"homepage":"https://doi.org/10.5281/zenodo.5706412","citations":[],"identifier":1206,"description":"MINSEQE describes the Minimum Information about a high-throughput nucleotide SEQuencing Experiment that is needed to enable the unambiguous interpretation and facilitate reproduction of the results of the experiment. By analogy to the MIAME guidelines for microarray experiments, adherence to the MINSEQE guidelines will improve integration of multiple experiments across different modalities, thereby maximising the value of high-throughput research. Metadata collection template includes critical information such as: 1) The description of the biological system, samples, and the experimental variables being studied, 2) The sequence read data for each assay, 3) The ‘final’ processed (or summary) data for the set of assays in the study, 4) General information about the experiment and sample-data relationships, and 5) Essential experimental and data processing protocols.\n\nNOTE: The provided resource documentation at Zenodo contains version 1.0 of the MINSEQE guidelines, which originated from discussions at the March 2008 Functional Genomics Data (FGED) Society-hosted workshop held in Berkeley, CA, USA. The FGED Society was operational from 1999-2021.","abbreviation":"MINSEQE","support_links":[{"url":"https://www.youtube.com/user/fgedsociety/","name":"FGED YouTube Channel","type":"Video"},{"url":"https://www.facebook.com/FGED.Society","name":"Facebook","type":"Facebook"},{"url":"http://mibbi.sourceforge.net/projects/MINSEQE.shtml","name":"Original MIBBI Page","type":"Help documentation"},{"url":"https://twitter.com/FGED","name":"@FGED","type":"Twitter"},{"url":"https://www.fged.org/projects/minseqe/","name":"FGED-MINSEQE Original Landing Page","type":"Other"},{"url":"https://www.ncbi.nlm.nih.gov/geo/info/MIAME.html","name":"MINSEQE Recommendations by GEO","type":"Other"}],"year_creation":2008},"legacy_ids":["bsg-000174","bsg-s000174"],"name":"FAIRsharing record for: Minimal Information about a high throughput SEQuencing Experiment","abbreviation":"MINSEQE","url":"https://fairsharing.org/10.25504/FAIRsharing.a55z32","doi":"10.25504/FAIRsharing.a55z32","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINSEQE describes the Minimum Information about a high-throughput nucleotide SEQuencing Experiment that is needed to enable the unambiguous interpretation and facilitate reproduction of the results of the experiment. By analogy to the MIAME guidelines for microarray experiments, adherence to the MINSEQE guidelines will improve integration of multiple experiments across different modalities, thereby maximising the value of high-throughput research. Metadata collection template includes critical information such as: 1) The description of the biological system, samples, and the experimental variables being studied, 2) The sequence read data for each assay, 3) The ‘final’ processed (or summary) data for the set of assays in the study, 4) General information about the experiment and sample-data relationships, and 5) Essential experimental and data processing protocols.\n\nNOTE: The provided resource documentation at Zenodo contains version 1.0 of the MINSEQE guidelines, which originated from discussions at the March 2008 Functional Genomics Data (FGED) Society-hosted workshop held in Berkeley, CA, USA. The FGED Society was operational from 1999-2021.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18269},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11146},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11570},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12411},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13902},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14560}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Functional Genomics","Epigenomics","Metagenomics","Genomics","Phylogenomics","Transcriptomics","Omics"],"domains":["Resource metadata","Experimental measurement","Biological sample annotation","Next generation DNA sequencing","DNA sequencing assay","Sequencing"],"taxonomies":["All"],"user_defined_tags":["Document metadata","Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":3559,"pubmed_id":null,"title":"MINSEQE: Minimum Information about a high-throughput Nucleotide SeQuencing Experiment - a proposal for standards in functional genomic data reporting","year":2012,"url":"https://doi.org/10.5281/zenodo.5706412","authors":"Brazma, Alvis; Ball, Catherine; Bumgarner, Roger; Furlanello, Cesare; Miller, Michael; Quackenbush, John; Reich, Michael; Rustici, Gabriella; Stoeckert, Chris; Trutane, Stephen Chervitz; Taylor, Ronald C; ","journal":"Zenodo","doi":"10.5281/zenodo.5706412","created_at":"2022-08-23T00:08:28.827Z","updated_at":"2022-08-23T00:08:28.827Z"},{"id":3563,"pubmed_id":null,"title":"Transcriptomics data availability and reusability in the transition from microarray to next-generation sequencing","year":2021,"url":"http://dx.doi.org/10.1101/2020.12.31.425022","authors":"Rustici, Gabriella; Williams, Eleanor; Barzine, Mitra; Brazma, Alvis; Bumgarner, Roger; Chierici, Marco; Furlanello, Cesare; Greger, Liliana; Jurman, Giuseppe; Miller, Michael; Ouellette, B.F. Francis; Quackenbush, John; Reich, Michael; Stoeckert, Christian J.; Taylor, Ronald C.; Trutane, Stephen Chervitz; Weller, Jennifer; Wilhelm, Brian; Winegarden, Neil; ","journal":"bioRxiv","doi":"10.1101/2020.12.31.425022","created_at":"2022-08-23T20:55:23.462Z","updated_at":"2022-08-23T20:55:23.462Z"},{"id":3564,"pubmed_id":null,"title":"A draft proposal for the required Minimum Information about a high- throughput Nucleotide SeQuencing Experiment – MINSEQE","year":2008,"url":"https://drive.google.com/file/d/1XjUoSHKMFQXHc01tr-IDAw0eNIQB7C-M/view","authors":"FGED Society Workshop","journal":"Online","doi":"","created_at":"2022-08-23T20:57:58.583Z","updated_at":"2022-08-23T20:57:58.583Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2504,"relation":"applies_to_content"}],"grants":[{"id":6994,"fairsharing_record_id":1206,"organisation_id":1073,"relation":"maintains","created_at":"2021-09-30T09:28:22.018Z","updated_at":"2021-09-30T09:28:22.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":1073,"name":"Functional Genomics Data Society (FGED); MINSEQE working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1207","type":"fairsharing_records","attributes":{"created_at":"2019-11-07T12:41:46.000Z","updated_at":"2022-07-20T09:59:40.896Z","metadata":{"doi":"10.25504/FAIRsharing.XykycZ","name":"Transcription Factor Class","status":"ready","contacts":[{"contact_name":"Edgar Wingender","contact_email":"edgar.wingender@bioinf.med.uni-goettingen.de"}],"homepage":"http://tfclass.bioinf.med.uni-goettingen.de/index.jsf","citations":[{"doi":"10.1093/nar/gkx987","pubmed_id":29087517,"publication_id":2619}],"identifier":1207,"description":"TFClass is a resource that classifies eukaryotic transcription factors (TFs) according to their DNA-binding domains. Combining information from different resources, manually checking the retrieved mammalian TF sequences and applying extensive phylogenetic analyses, \u003e39,000 TFs from up to 41 mammalian species were assigned to the Superclasses, Classes, Families and Subfamilies of TFClass. TFClass provides corresponding sequence collections in FASTA format; sequence logos and phylogenetic trees at different classification levels; predicted TF binding sites for human, mouse, dog and cow genomes; and links to several external databases.","abbreviation":"TFClass","year_creation":2012},"legacy_ids":["bsg-001401","bsg-s001401"],"name":"FAIRsharing record for: Transcription Factor Class","abbreviation":"TFClass","url":"https://fairsharing.org/10.25504/FAIRsharing.XykycZ","doi":"10.25504/FAIRsharing.XykycZ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TFClass is a resource that classifies eukaryotic transcription factors (TFs) according to their DNA-binding domains. Combining information from different resources, manually checking the retrieved mammalian TF sequences and applying extensive phylogenetic analyses, \u003e39,000 TFs from up to 41 mammalian species were assigned to the Superclasses, Classes, Families and Subfamilies of TFClass. TFClass provides corresponding sequence collections in FASTA format; sequence logos and phylogenetic trees at different classification levels; predicted TF binding sites for human, mouse, dog and cow genomes; and links to several external databases.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12543}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Phylogenetics","Transcriptomics"],"domains":["Expression data","Transcription factor binding site prediction","Binding","Transcription factor","Binding site"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2619,"pubmed_id":29087517,"title":"TFClass: expanding the classification of human transcription factors to their mammalian orthologs.","year":2017,"url":"http://doi.org/10.1093/nar/gkx987","authors":"Wingender E,Schoeps T,Haubrock M,Krull M,Donitz J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx987","created_at":"2021-09-30T08:27:21.542Z","updated_at":"2021-09-30T11:29:40.638Z"}],"licence_links":[],"grants":[{"id":6995,"fairsharing_record_id":1207,"organisation_id":1422,"relation":"maintains","created_at":"2021-09-30T09:28:22.049Z","updated_at":"2021-09-30T09:28:22.049Z","grant_id":null,"is_lead":true,"saved_state":{"id":1422,"name":"Institute of Medical Bioinformatics, University Medical Center Goettingen, Georg August University, Goettingen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1220","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-07T16:03:01.839Z","metadata":{"doi":"10.25504/FAIRsharing.fj07xj","name":"NCBI Taxonomy","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/taxonomy","citations":[{"doi":"10.1093/database/baaa062","pubmed_id":32761142,"publication_id":3045}],"identifier":1220,"description":"The NCBI Taxonomy is a database of taxonomic information. It does not follow a single taxonomic treatise but rather attempts to incorporate phylogenetic and taxonomic knowledge from a variety of sources, including the published literature, web-based databases, and the advice of sequence submitters and outside taxonomy experts.","abbreviation":"NCBITAXON","support_links":[{"url":"https://www.ncbi.nlm.nih.gov/Taxonomy/taxonomyhome.html/index.cgi?chapter=howlink","name":"Linking to the NCBI Taxonomy Database","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK53758/","name":"Entrez Taxonomy Quick Start","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK21100/","name":"NCBI Handbook: The Taxonomy Project","type":"Help documentation"},{"url":"https://github.com/obophenotype/ncbitaxon","name":"GitHub Repository (for NCBITaxon Ontology)","type":"Github"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCBITAXON","name":"NCBITAXON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ncbitaxon.html","name":"ncbitaxon","portal":"OBO Foundry"},{"url":"https://www.re3data.org/repository/r3d100010415","name":"re3data:r3d100010415","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003256","name":"SciCrunch:RRID:SCR_003256","portal":"SciCrunch"}]},"legacy_ids":["bsg-000154","bsg-s000154"],"name":"FAIRsharing record for: NCBI Taxonomy","abbreviation":"NCBITAXON","url":"https://fairsharing.org/10.25504/FAIRsharing.fj07xj","doi":"10.25504/FAIRsharing.fj07xj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCBI Taxonomy is a database of taxonomic information. It does not follow a single taxonomic treatise but rather attempts to incorporate phylogenetic and taxonomic knowledge from a variety of sources, including the published literature, web-based databases, and the advice of sequence submitters and outside taxonomy experts.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17575},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10873},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11815},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11964},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12206}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Phylogenetics","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":815,"pubmed_id":29140468,"title":"GenBank","year":2017,"url":"http://doi.org/10.1093/nar/gkx1094","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Ostell J,Pruitt K,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1094","created_at":"2021-09-30T08:23:49.901Z","updated_at":"2021-09-30T11:28:51.967Z"},{"id":2263,"pubmed_id":22139910,"title":"The NCBI Taxonomy database","year":2011,"url":"http://doi.org/10.1093/nar/gkr1178","authors":"Federhen S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1178","created_at":"2021-09-30T08:26:35.347Z","updated_at":"2021-09-30T11:29:32.104Z"},{"id":3045,"pubmed_id":32761142,"title":"NCBI Taxonomy: a comprehensive update on curation, resources and tools.","year":2020,"url":"http://doi.org/baaa062","authors":"Schoch CL,Ciufo S,Domrachev M,Hotton CL,Kannan S,Khovanskaya R,Leipe D,Mcveigh R,O'Neill K,Robbertse B,Sharma S,Soussov V,Sullivan JP,Sun L,Turner S,Karsch-Mizrachi I","journal":"Database (Oxford)","doi":"10.1093/database/baaa062","created_at":"2021-09-30T08:28:15.274Z","updated_at":"2021-09-30T08:28:15.274Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2071,"relation":"undefined"}],"grants":[{"id":7013,"fairsharing_record_id":1220,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:22.767Z","updated_at":"2021-09-30T09:28:22.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7015,"fairsharing_record_id":1220,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:22.846Z","updated_at":"2021-09-30T09:28:22.846Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7014,"fairsharing_record_id":1220,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:28:22.804Z","updated_at":"2021-09-30T09:28:22.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1222","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:01.521Z","metadata":{"doi":"10.25504/FAIRsharing.x964fb","name":"MicroArray Gene Expression Markup Language","status":"deprecated","contacts":[{"contact_name":"Ugis Sarkans","contact_email":"ugis@ebi.ac.uk","contact_orcid":"0000-0001-9227-8488"}],"homepage":"http://www.mged.org/Workgroups/MAGE/mage-ml.html","identifier":1222,"description":"This document is a standard that addresses the representation of gene expression data and relevant annotations, as well as mechanisms for exchanging these data. The field of gene expression experiments has several distinct technologies that a standard must include (e.g., single vs. dual channel experiments, cDNA vs. oligonucleotides). Because of these different technologies and different types of gene expression experiments, it is not expected that all aspects of the standard will be used by all organizations. With the acceptance of XML Metadata Interchange as an OMG standard it is possible to specify a normative UML model using a tool such as Rational Rose that describes the data structures for Gene Expression/","abbreviation":"MAGE-ML","support_links":[{"url":"http://www.mged.org/contact.html","type":"Contact form"},{"url":"http://sourceforge.net/p/mged/mailman/mged-mage/","type":"Mailing list"},{"url":"http://www.omg.org/technology/documents/formal/gene_expression.htm","type":"Help documentation"},{"url":"http://sourceforge.net/projects/mged/files/OMG%20Model/","type":"Help documentation"},{"url":"http://www.mged.org/Workgroups/MAGE/mage-ml.html","type":"Help documentation"}],"deprecation_date":"2016-02-16","deprecation_reason":"This is a deprecated format and major microarray databases such as ArrayExpress no longer encourage its use. Please see the FAIRsharing record for MAGE-TAB (https://FAIRsharing.org/bsg-000080) or ISA-TAB (https://FAIRsharing.org/bsg-000078) instead."},"legacy_ids":["bsg-000573","bsg-s000573"],"name":"FAIRsharing record for: MicroArray Gene Expression Markup Language","abbreviation":"MAGE-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.x964fb","doi":"10.25504/FAIRsharing.x964fb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document is a standard that addresses the representation of gene expression data and relevant annotations, as well as mechanisms for exchanging these data. The field of gene expression experiments has several distinct technologies that a standard must include (e.g., single vs. dual channel experiments, cDNA vs. oligonucleotides). Because of these different technologies and different types of gene expression experiments, it is not expected that all aspects of the standard will be used by all organizations. With the acceptance of XML Metadata Interchange as an OMG standard it is possible to specify a normative UML model using a tool such as Rational Rose that describes the data structures for Gene Expression/","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11175},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12055}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Transcriptomics","Comparative Genomics"],"domains":["Expression data","Ribonucleic acid","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":704,"pubmed_id":12225585,"title":"Design and implementation of microarray gene expression markup language (MAGE-ML).","year":2002,"url":"http://doi.org/10.1186/gb-2002-3-9-research0046","authors":"Spellman PT, Miller M, Stewart J, Troup C, Sarkans U, Chervitz S, Bernhart D, Sherlock G, Ball C, Lepage M, Swiatek M, Marks WL, Goncalves J, Markel S, Iordan D, Shojatalab M, Pizarro A, White J, Hubley R, Deutsch E, Senger M, Aronow BJ, Robinson A, Bassett D, Stoeckert CJ Jr, Brazma A.","journal":"Genome Biology","doi":"10.1186/gb-2002-3-9-research0046","created_at":"2021-09-30T08:23:37.596Z","updated_at":"2021-09-30T08:23:37.596Z"}],"licence_links":[],"grants":[{"id":7016,"fairsharing_record_id":1222,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:22.897Z","updated_at":"2021-09-30T09:28:22.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7017,"fairsharing_record_id":1222,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:28:22.934Z","updated_at":"2021-09-30T09:32:25.822Z","grant_id":1616,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","grant":"DE-FG02-00ER62893","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1226","type":"fairsharing_records","attributes":{"created_at":"2015-08-14T13:14:29.000Z","updated_at":"2022-07-20T10:09:06.401Z","metadata":{"doi":"10.25504/FAIRsharing.658tcg","name":"Observational Medical Outcomes Partnership Standardized Vocabularies","status":"ready","contacts":[{"contact_name":"Support Team","contact_email":"support@odysseusinc.com"}],"homepage":"https://www.ohdsi.org/web/wiki/doku.php?id=documentation:vocabulary:sidebar","identifier":1226,"description":"The OMOP Standardized Vocabularies combine a number of different vocabularies that are used for different aspects of recording healthcare information. These different purposes cause the vocabularies to come with different formats, quality, comprehensiveness and coverage, and life cycle. Even though the content of the vocabularies are left intact, the new format and structural elements will result in a different representation of each vocabulary than its native form.","abbreviation":"OMOP Standardized Vocabularies","support_links":[{"url":"https://www.ohdsi.org/data-standardization/","name":"Data Standardization at OHDSI","type":"Help documentation"},{"url":"https://github.com/OHDSI/OMOP-Standardized-Vocabularies","name":"Release Notes","type":"Github"}]},"legacy_ids":["bsg-000615","bsg-s000615"],"name":"FAIRsharing record for: Observational Medical Outcomes Partnership Standardized Vocabularies","abbreviation":"OMOP Standardized Vocabularies","url":"https://fairsharing.org/10.25504/FAIRsharing.658tcg","doi":"10.25504/FAIRsharing.658tcg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OMOP Standardized Vocabularies combine a number of different vocabularies that are used for different aspects of recording healthcare information. These different purposes cause the vocabularies to come with different formats, quality, comprehensiveness and coverage, and life cycle. Even though the content of the vocabularies are left intact, the new format and structural elements will result in a different representation of each vocabulary than its native form.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12218},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12479},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16962}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies","Health Science","Preclinical Studies"],"domains":["Data identity and mapping"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":807,"pubmed_id":null,"title":"A Systematic Statistical Approach to Evaluating Evidence from Observational Studies","year":2014,"url":"http://doi.org/10.1146/annurev-statistics-022513-115645","authors":"David Madigan, Paul E. Stang, Jesse A. Berlin, Martijn Schuemie, J. Marc Overhage, Marc A. Suchard, Bill Dumouchel, Abraham G. Hartzema, and Patrick B. Ryan","journal":"Annual Review of Statistics and Its Application","doi":"10.1146/annurev-statistics-022513-115645","created_at":"2021-09-30T08:23:49.004Z","updated_at":"2021-09-30T08:23:49.004Z"}],"licence_links":[],"grants":[{"id":7022,"fairsharing_record_id":1226,"organisation_id":2212,"relation":"maintains","created_at":"2021-09-30T09:28:23.119Z","updated_at":"2021-09-30T09:28:23.119Z","grant_id":null,"is_lead":true,"saved_state":{"id":2212,"name":"Observational Health Data Sciences and Informatics (OHDSI),","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1227","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:39.000Z","updated_at":"2024-03-21T13:59:04.067Z","metadata":{"doi":"10.25504/FAIRsharing.f67zb7","name":"LINCS Pilot Phase 1 Metadata Standards: RNAi Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":1227,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. RNA interference is a standard methodology to transiently knock down gene expression in living cells. This can be achieved using different types of small RNA molecules, including siRNA, shRNA, and miRNA. Information that is relevant to identify and describe these perturbations include probe ID, name, source/provider, target gene symbol and accession number, sequence of the probe, and modifications to the probe (e.g., chemical modification) if any are specified.","abbreviation":"LINCS 1: RNAi Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_siRNAshRNAReagents_Metadata_Release_Jul-31-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2017-03-28","deprecation_reason":"This standard was a pilot study for the LINCS 2 Nucleic Acid Reagents standard (https://biosharing.org/bsg-s000699) and as such has been superseded."},"legacy_ids":["bsg-000665","bsg-s000665"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: RNAi Reagents","abbreviation":"LINCS 1: RNAi Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.f67zb7","doi":"10.25504/FAIRsharing.f67zb7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. RNA interference is a standard methodology to transiently knock down gene expression in living cells. This can be achieved using different types of small RNA molecules, including siRNA, shRNA, and miRNA. Information that is relevant to identify and describe these perturbations include probe ID, name, source/provider, target gene symbol and accession number, sequence of the probe, and modifications to the probe (e.g., chemical modification) if any are specified.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11905}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7024,"fairsharing_record_id":1227,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:23.206Z","updated_at":"2021-09-30T09:28:23.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11576,"fairsharing_record_id":1227,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:04.035Z","updated_at":"2024-03-21T13:59:04.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1228","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.228Z","metadata":{"doi":"10.25504/FAIRsharing.22j4p7","name":"Plant Anatomy","status":"deprecated","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1108","identifier":1228,"description":"Plant Anatomy is a controlled vocabulary of plant morphological and anatomical structures representing organs, tissues, cell types, and their biological relationships based on spatial and developmental organization. This standard is now part of PO.","abbreviation":"PO_PAE","deprecation_date":"2015-12-23","deprecation_reason":"REPLACED BY: This standard has been subsumed into the Plant Ontology (PO) - http://www.plantontology.org - https://biosharing.org/bsg-000633."},"legacy_ids":["bsg-002581","bsg-s002581"],"name":"FAIRsharing record for: Plant Anatomy","abbreviation":"PO_PAE","url":"https://fairsharing.org/10.25504/FAIRsharing.22j4p7","doi":"10.25504/FAIRsharing.22j4p7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Plant Anatomy is a controlled vocabulary of plant morphological and anatomical structures representing organs, tissues, cell types, and their biological relationships based on spatial and developmental organization. This standard is now part of PO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7025,"fairsharing_record_id":1228,"organisation_id":2332,"relation":"maintains","created_at":"2021-09-30T09:28:23.242Z","updated_at":"2021-09-30T09:28:23.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":2332,"name":"Plant Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7026,"fairsharing_record_id":1228,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:28:23.280Z","updated_at":"2021-09-30T09:28:23.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1223","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:59:47.453Z","metadata":{"doi":"10.25504/FAIRsharing.ajdxzx","name":"CDISC Operational Data Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/odm","identifier":1223,"description":"ODM is a vendor-neutral, platform-independent format (based on XML) for exchanging and archiving clinical and translational research data, along with their associated metadata, administrative data, reference data, and audit information. ODM facilitates the regulatory-compliant acquisition, archival and exchange of metadata and data. It has become the language of choice for representing case report form content in many electronic data capture (EDC) tools. ​","abbreviation":"CDISC ODM","support_links":[{"url":"https://www.cdisc.org/education/course/odm-implementation","name":"ODM Implementation","type":"Training documentation"}]},"legacy_ids":["bsg-000117","bsg-s000117"],"name":"FAIRsharing record for: CDISC Operational Data Model","abbreviation":"CDISC ODM","url":"https://fairsharing.org/10.25504/FAIRsharing.ajdxzx","doi":"10.25504/FAIRsharing.ajdxzx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ODM is a vendor-neutral, platform-independent format (based on XML) for exchanging and archiving clinical and translational research data, along with their associated metadata, administrative data, reference data, and audit information. ODM facilitates the regulatory-compliant acquisition, archival and exchange of metadata and data. It has become the language of choice for representing case report form content in many electronic data capture (EDC) tools. ​","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17345},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11192},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11271},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11805},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11963},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12418},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16959}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Workflow"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":2529,"pubmed_id":26188274,"title":"Standardizing data exchange for clinical research protocols and case report forms: An assessment of the suitability of the Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model (ODM).","year":2015,"url":"http://doi.org/10.1016/j.jbi.2015.06.023","authors":"Huser V,Sastry C,Breymaier M,Idriss A,Cimino JJ","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2015.06.023","created_at":"2021-09-30T08:27:10.237Z","updated_at":"2021-09-30T08:27:10.237Z"}],"licence_links":[],"grants":[{"id":7020,"fairsharing_record_id":1223,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:23.046Z","updated_at":"2021-09-30T09:28:23.046Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7019,"fairsharing_record_id":1223,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:23.004Z","updated_at":"2021-09-30T09:28:23.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1224","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-01T11:56:32.428Z","metadata":{"doi":"10.25504/FAIRsharing.exmkp8","name":"Neuroscience Information Framework Subcellular Ontology","status":"deprecated","contacts":[{"contact_name":"Fahim Imam","contact_email":"smtifahim@gmail.com","contact_orcid":"0000-0003-4752-543X"}],"homepage":"https://neuinfo.org/about/nifvocabularies","citations":[],"identifier":1224,"description":"NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources. A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology that can be used to describe and retrieve neuroscience-relevant resources. NeuroLex is built from our core OWL ontology, NIFSTD, in a modular fashion, with separate modules covering major domains of neuroscience: anatomy, cell, subcellular (the standard described in this record), molecule, function and dysfunction.","abbreviation":"NIFSUBCELL","support_links":[{"url":"info@neuinfo.org","type":"Support email"},{"url":"https://twitter.com/neuinfo","type":"Twitter"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFSUBCELL","name":"NIFSUBCELL","portal":"BioPortal"}],"deprecation_date":"2022-12-01","deprecation_reason":"Incorporated in/superseded by the NIF Standard Ontology (https://fairsharing.org/FAIRsharing.vgw1m6)"},"legacy_ids":["bsg-002835","bsg-s002835"],"name":"FAIRsharing record for: Neuroscience Information Framework Subcellular Ontology","abbreviation":"NIFSUBCELL","url":"https://fairsharing.org/10.25504/FAIRsharing.exmkp8","doi":"10.25504/FAIRsharing.exmkp8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources. A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology that can be used to describe and retrieve neuroscience-relevant resources. NeuroLex is built from our core OWL ontology, NIFSTD, in a modular fashion, with separate modules covering major domains of neuroscience: anatomy, cell, subcellular (the standard described in this record), molecule, function and dysfunction.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NIF - SciCrunch Terms of use","licence_id":581,"licence_url":"https://neuinfo.org/page/terms","link_id":1609,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1225","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T18:39:10.000Z","updated_at":"2021-11-24T13:20:04.703Z","metadata":{"doi":"10.25504/FAIRsharing.c3b573","name":"RDF Data Cube Vocabulary","status":"ready","contacts":[{"contact_name":"Government Linked Data Working Group","contact_email":"public-gld-comments@w3.org"}],"homepage":"http://www.w3.org/TR/vocab-data-cube/","identifier":1225,"description":"The Data Cube vocabulary allows the publishing of multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging and sharing statistical data and metadata among organizations. The Data Cube vocabulary is a core foundation which supports extension vocabularies to enable publication of other aspects of statistical data flows or other multi-dimensional data sets.","abbreviation":null,"support_links":[{"url":"http://www.w3.org/2011/gld/","name":"Government Linked Data (GLD) Working Group (Now Closed)","type":"Help documentation"},{"url":"https://www.w3.org/2001/sw/wiki/Data_Cube_Errata","name":"Data Cube Errata","type":"Help documentation"}]},"legacy_ids":["bsg-001298","bsg-s001298"],"name":"FAIRsharing record for: RDF Data Cube Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.c3b573","doi":"10.25504/FAIRsharing.c3b573","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Cube vocabulary allows the publishing of multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging and sharing statistical data and metadata among organizations. The Data Cube vocabulary is a core foundation which supports extension vocabularies to enable publication of other aspects of statistical data flows or other multi-dimensional data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Statistics","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["Ireland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":422,"relation":"undefined"}],"grants":[{"id":7021,"fairsharing_record_id":1225,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:23.084Z","updated_at":"2021-09-30T09:28:23.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1205","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-13T09:44:33.058Z","metadata":{"doi":"10.25504/FAIRsharing.a6r7zs","name":"The bioscientific data analysis and management ontology","status":"ready","contacts":[{"contact_name":"EDAM Core Developers Mailing list","contact_email":"edam-core@elixir-dk.org"}],"homepage":"http://edamontology.org","citations":[{"doi":"10.1093/bioinformatics/btt113","pubmed_id":23479348,"publication_id":1837}],"identifier":1205,"description":"EDAM is a comprehensive ontology of well-established, familiar concepts that are prevalent within bioscientific data analysis and data management (including computational biology, bioinformatics, and bioimage informatics). EDAM includes topics, operations, types of data and data identifiers, and data formats, relevant in data analysis and data management in life sciences. EDAM provides a set of concepts with preferred terms and synonyms, related terms, definitions, and other information - organised into a simple and intuitive hierarchy for convenient use. EDAM is particularly suitable for semantic annotations and categorisation of diverse resources related to data analysis and management: e.g. tools, workflows, learning materials, or standards. EDAM is also useful in data management itself, for recording provenance metadata of processed bioscientific data.","abbreviation":"EDAM","support_links":[{"url":"https://github.com/edamontology/edamontology/issues","name":"EDAM Issue Tracker","type":"Github"},{"url":"https://gitter.im/edamontology/edamontology","name":"Gitter Community Chat","type":"Mailing list"},{"url":"http://elixirmail.cbs.dtu.dk/mailman/listinfo/edam-announce","name":"EDAM Announcements","type":"Mailing list"},{"url":"https://github.com/edamontology/edamontology","name":"GitHub Repository","type":"Github"},{"url":"https://twitter.com/edamontology","name":"@edamontology","type":"Twitter"},{"url":"https://edamontologydocs.readthedocs.io/en/latest/index.html","name":"Documentation","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"https://edamontology.github.io/edam-browser","name":"EDAM Browser"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDAM","name":"EDAM - Bioscientific data analysis ontology","portal":"BioPortal"},{"url":"http://www.ebi.ac.uk/ols/ontologies/edam","name":"Bioinformatics operations, data types, formats, identifiers and topics","portal":"OLS"}]},"legacy_ids":["bsg-000275","bsg-s000275"],"name":"FAIRsharing record for: The bioscientific data analysis and management ontology","abbreviation":"EDAM","url":"https://fairsharing.org/10.25504/FAIRsharing.a6r7zs","doi":"10.25504/FAIRsharing.a6r7zs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EDAM is a comprehensive ontology of well-established, familiar concepts that are prevalent within bioscientific data analysis and data management (including computational biology, bioinformatics, and bioimage informatics). EDAM includes topics, operations, types of data and data identifiers, and data formats, relevant in data analysis and data management in life sciences. EDAM provides a set of concepts with preferred terms and synonyms, related terms, definitions, and other information - organised into a simple and intuitive hierarchy for convenient use. EDAM is particularly suitable for semantic annotations and categorisation of diverse resources related to data analysis and management: e.g. tools, workflows, learning materials, or standards. EDAM is also useful in data management itself, for recording provenance metadata of processed bioscientific data.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12102}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Life Science","Subject Agnostic"],"domains":["Analysis","Data acquisition","Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Denmark","France","Norway","United Kingdom"],"publications":[{"id":1837,"pubmed_id":23479348,"title":"EDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formats.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt113","authors":"Ison J,Kalas M,Jonassen I,Bolser D,Uludag M,McWilliam H,Malone J,Lopez R,Pettifer S,Rice P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt113","created_at":"2021-09-30T08:25:46.280Z","updated_at":"2021-09-30T08:25:46.280Z"},{"id":3941,"pubmed_id":null,"title":"EDAM: the bioscientific data analysis ontology (update 2021)","year":2021,"url":"https://doi.org/10.7490/f1000research.1118900.1","authors":"Melissa Black, Lucie Lamothe, Hager Eldakroury, Mads Kierkegaard, Ankita Priya, Anne Machinda, Uttam Singh Khanduja, Drashti Patoliya, Rashika Rathi, Tawah Peggy Che Nico, Gloria Umutesi, Claudia Blankenburg, Anita Op, Precious Chieke, Omodolapo Babatunde, Steve Laurie, Steffen Neumann, Veit Schwämmle, Ivan Kuzmin, Chris Hunter, Jonathan Karr, Jon Ison, Alban Gaignard, Bryan Brancotte, Hervé Ménager, Matúš Kalaš","journal":"F1000 Research","doi":"10.7490/f1000research.1118900.1","created_at":"2023-07-11T18:36:14.699Z","updated_at":"2023-07-11T18:36:14.699Z"},{"id":3942,"pubmed_id":null,"title":"edamontology/edamontology: EDAM 1.25","year":2020,"url":"https://doi.org/10.5281/zenodo.822690","authors":"Jon Ison, Matúš Kalaš, Hervé Ménager, Egon Willighagen, Björn Grüning, \u0026 albangaignard","journal":"Zenodo","doi":"10.5281/zenodo.3899895","created_at":"2023-07-11T18:39:39.012Z","updated_at":"2023-07-11T18:39:39.012Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":457,"relation":"undefined"}],"grants":[{"id":6990,"fairsharing_record_id":1205,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:21.899Z","updated_at":"2021-09-30T09:30:32.748Z","grant_id":758,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G02264X/1 EMBOSS-BBR","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6991,"fairsharing_record_id":1205,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:28:21.925Z","updated_at":"2021-09-30T09:32:32.026Z","grant_id":1663,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LHSG-CT-2004-512092","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6989,"fairsharing_record_id":1205,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:28:21.872Z","updated_at":"2021-09-30T09:28:57.985Z","grant_id":34,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"178885/V30","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6992,"fairsharing_record_id":1205,"organisation_id":933,"relation":"funds","created_at":"2021-09-30T09:28:21.961Z","updated_at":"2021-09-30T09:29:29.154Z","grant_id":266,"is_lead":false,"saved_state":{"id":933,"name":"European FP7 EMBRACE project","grant":"FP7-INFRA-2007-211601","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6993,"fairsharing_record_id":1205,"organisation_id":932,"relation":"funds","created_at":"2021-09-30T09:28:21.990Z","updated_at":"2021-09-30T09:29:37.696Z","grant_id":332,"is_lead":false,"saved_state":{"id":932,"name":"European FP7 Capacities Specific Programme","grant":"284209","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1203","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T14:10:09.000Z","updated_at":"2024-04-18T09:22:33.484Z","metadata":{"doi":"10.25504/FAIRsharing.20sbr9","name":"Bioschemas Dataset Profile","status":"ready","contacts":[],"homepage":"https://bioschemas.org/profiles/Dataset/","citations":[],"identifier":1203,"description":"The Bioschemas Dataset Profile describes datasets in the life-sciences using Schema.org-like annotation. The Bioschemas project aims to improve data interoperability in life sciences the use of schema.org markup. This structured information then makes it easier to discover, collate and analyse distributed data. ","abbreviation":null,"support_links":[{"url":"http://lists.w3.org/Archives/Public/public-bioschemas/","name":"Bioschemas W3C mailing list","type":"Mailing list"},{"url":"https://github.com/Bioschemas/specifications","name":"Bioschemas examples on GitHub","type":"Github"},{"url":"https://bioschemas.org/liveDeploys/","name":"Bioschemas live deploys","type":"Help documentation"},{"url":"https://bioschemas.org/tutorials/","name":"Getting Started with Bioschemas","type":"Training documentation"},{"url":"https://twitter.com/bioschemas","name":"BioSchemas","type":"Twitter"},{"url":"https://join.slack.com/t/bioschemas/shared_invite/zt-58y30ewj-Ix2_s6nNLXrhHl51TtDXig","name":"Slack","type":"Forum"}],"year_creation":2019},"legacy_ids":["bsg-001127","bsg-s001127"],"name":"FAIRsharing record for: Bioschemas Dataset Profile","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.20sbr9","doi":"10.25504/FAIRsharing.20sbr9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bioschemas Dataset Profile describes datasets in the life-sciences using Schema.org-like annotation. The Bioschemas project aims to improve data interoperability in life sciences the use of schema.org markup. This structured information then makes it easier to discover, collate and analyse distributed data. ","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18262},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10858},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12945},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13334},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13336},{"linking_record_name":"Bioschemas Profiles","linking_record_id":4744,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16759}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Computer Science"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3567,"relation":"applies_to_content"}],"grants":[{"id":6984,"fairsharing_record_id":1203,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:21.695Z","updated_at":"2021-09-30T09:28:21.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11589,"fairsharing_record_id":1203,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:18.659Z","updated_at":"2024-03-21T13:59:18.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11634,"fairsharing_record_id":1203,"organisation_id":4326,"relation":"maintains","created_at":"2024-03-26T18:52:55.809Z","updated_at":"2024-03-26T18:52:55.809Z","grant_id":null,"is_lead":true,"saved_state":{"id":4326,"name":"Bioschemas Governance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaHNFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e817ea83097da01f51087faef031557818045a77/hexagon_color.png?disposition=inline","exhaustive_licences":true}},{"id":"1204","type":"fairsharing_records","attributes":{"created_at":"2018-10-05T18:46:47.000Z","updated_at":"2022-07-20T12:15:56.002Z","metadata":{"doi":"10.25504/FAIRsharing.d42cb9","name":"Qualitative Data Exchange Schema","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@data-archive.ac.uk"}],"homepage":"https://www.data-archive.ac.uk/managing-data/","citations":[],"identifier":1204,"description":"The Qualitative Data Exchange Schema (QuDEx) enables discovery, locating, retrieving and citing complex qualitative data collections in context. QuDEx provides a highly structured and consistently marked-up data and enables rich descriptive metadata for files e.g. interview characteristics, interview setting, type of object. The schema also provides logical links between data objects: text to related audio, images, and other research outputs and preserves references to annotations performed on data.","abbreviation":"QuDEx","support_links":[{"url":"https://www.data-archive.ac.uk/managing-data/standards-and-procedures/","name":"Standards and procedures","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/data-discovery/","name":"Data discovery","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/digital-curation-and-data-publishing/","name":"Digital curation and data publishing","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/information-governance/","name":"Information governance","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/data-preservation-and-trust/","name":"Data preservation and trust","type":"Help documentation"}],"year_creation":2007,"associated_tools":[{"url":"https://data-archive.ac.uk/media/3388/QuDEx_Viewer.zip","name":"QuDEx Viewer"}]},"legacy_ids":["bsg-001305","bsg-s001305"],"name":"FAIRsharing record for: Qualitative Data Exchange Schema","abbreviation":"QuDEx","url":"https://fairsharing.org/10.25504/FAIRsharing.d42cb9","doi":"10.25504/FAIRsharing.d42cb9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Qualitative Data Exchange Schema (QuDEx) enables discovery, locating, retrieving and citing complex qualitative data collections in context. QuDEx provides a highly structured and consistently marked-up data and enables rich descriptive metadata for files e.g. interview characteristics, interview setting, type of object. The schema also provides logical links between data objects: text to related audio, images, and other research outputs and preserves references to annotations performed on data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Resource metadata","Annotation","Multimedia"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6988,"fairsharing_record_id":1204,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:28:21.849Z","updated_at":"2021-09-30T09:28:21.849Z","grant_id":null,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6986,"fairsharing_record_id":1204,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:28:21.779Z","updated_at":"2021-09-30T09:28:21.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6987,"fairsharing_record_id":1204,"organisation_id":2895,"relation":"maintains","created_at":"2021-09-30T09:28:21.816Z","updated_at":"2021-09-30T09:28:21.816Z","grant_id":null,"is_lead":true,"saved_state":{"id":2895,"name":"UK Data Archive","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1305","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T13:06:45.000Z","updated_at":"2022-07-20T11:20:22.910Z","metadata":{"doi":"10.25504/FAIRsharing.7c683b","name":"Open Provenance Model","status":"ready","contacts":[{"contact_name":"Luc Moreau","contact_email":"l.moreau@ecs.soton.ac.uk"}],"homepage":"https://doi.org/10.1016/j.future.2010.07.005","citations":[{"publication_id":2741}],"identifier":1305,"description":"The Open Provenance Model (OPM) is a model of provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems, by means of a compatibility layer based on a shared provenance model. (2) To allow developers to build and share tools that operate on such a provenance model. (3) To define provenance in a precise, technology-agnostic manner. (4) To support a digital representation of provenance for any 'thing', whether produced by computer systems or not. (5) To allow multiple levels of description to coexist. (6) To define a core set of rules that identify the valid inferences that can be made on provenance representation.","abbreviation":"OPM","support_links":[{"url":"https://openprovenance.org/opm/","name":"OPM Project Page","type":"Help documentation"},{"url":"https://openprovenance.org/opm/tutorial/","name":"Tutorial","type":"Training documentation"}],"year_creation":2007},"legacy_ids":["bsg-001433","bsg-s001433"],"name":"FAIRsharing record for: Open Provenance Model","abbreviation":"OPM","url":"https://fairsharing.org/10.25504/FAIRsharing.7c683b","doi":"10.25504/FAIRsharing.7c683b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Provenance Model (OPM) is a model of provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems, by means of a compatibility layer based on a shared provenance model. (2) To allow developers to build and share tools that operate on such a provenance model. (3) To define provenance in a precise, technology-agnostic manner. (4) To support a digital representation of provenance for any 'thing', whether produced by computer systems or not. (5) To allow multiple levels of description to coexist. (6) To define a core set of rules that identify the valid inferences that can be made on provenance representation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom","United States"],"publications":[{"id":2741,"pubmed_id":null,"title":"The Open Provenance Model core specification (v1.1)","year":2011,"url":"https://doi.org/10.1016/j.future.2010.07.005","authors":"Moreau, Luc, Clifford, Ben, Freire, Juliana, Futrelle, Joe, Gil, Yolanda, Groth, Paul, Kwasnikowska, Natalia, Miles, Simon, Missier, Paolo, Myers, Jim, Plale, Beth, Simmhan, Yogesh, Stephan, Eric and Van den Bussche","journal":"Future Generation Computer Systems, 27 (6), 743-756","doi":null,"created_at":"2021-09-30T08:27:36.663Z","updated_at":"2021-09-30T08:27:36.663Z"}],"licence_links":[],"grants":[{"id":7171,"fairsharing_record_id":1305,"organisation_id":3144,"relation":"maintains","created_at":"2021-09-30T09:28:28.436Z","updated_at":"2021-09-30T09:28:28.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":3144,"name":"University of Utah, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7173,"fairsharing_record_id":1305,"organisation_id":3069,"relation":"maintains","created_at":"2021-09-30T09:28:28.506Z","updated_at":"2021-09-30T09:28:28.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":3069,"name":"University of Indiana, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7176,"fairsharing_record_id":1305,"organisation_id":3122,"relation":"maintains","created_at":"2021-09-30T09:28:28.657Z","updated_at":"2021-09-30T09:28:28.657Z","grant_id":null,"is_lead":true,"saved_state":{"id":3122,"name":"University of Southampton, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7170,"fairsharing_record_id":1305,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:28.394Z","updated_at":"2021-09-30T09:28:28.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7172,"fairsharing_record_id":1305,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:28:28.474Z","updated_at":"2021-09-30T09:28:28.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7174,"fairsharing_record_id":1305,"organisation_id":1638,"relation":"maintains","created_at":"2021-09-30T09:28:28.578Z","updated_at":"2021-09-30T09:28:28.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":1638,"name":"King's College London, London, United Kingdom","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7175,"fairsharing_record_id":1305,"organisation_id":2284,"relation":"maintains","created_at":"2021-09-30T09:28:28.619Z","updated_at":"2021-09-30T09:28:28.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":2284,"name":"Pacific Northwest National Laboratory, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1306","type":"fairsharing_records","attributes":{"created_at":"2019-12-20T00:29:01.000Z","updated_at":"2023-03-15T08:00:50.205Z","metadata":{"doi":"10.25504/FAIRsharing.aoSBun","name":"International Epidemiology Databases to Evaluate AIDS Data Exchange Standard","status":"ready","contacts":[{"contact_name":"IeDEA Data Harmonization Working Group","contact_email":"harmonist@vumc.org"}],"homepage":"https://redcap.vanderbilt.edu/plugins/iedea/des/","citations":[],"identifier":1306,"description":"The IeDEA Data Exchange Standard (IeDEA DES) is a patient-centric data model designed to support data harmonization and data exchange among HIV clinics participating in the International Epidemiology Databases to Evaluate AIDS (IeDEA, iedea.org). The variables and code lists have been developed to accommodate data originating in both resource-rich and resource-limited settings. The IeDEA DES was forked with permission from the Europe-centric HICDEP HIV data model in 2012.","abbreviation":"IeDEA DES","year_creation":2012},"legacy_ids":["bsg-001423","bsg-s001423"],"name":"FAIRsharing record for: International Epidemiology Databases to Evaluate AIDS Data Exchange Standard","abbreviation":"IeDEA DES","url":"https://fairsharing.org/10.25504/FAIRsharing.aoSBun","doi":"10.25504/FAIRsharing.aoSBun","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IeDEA Data Exchange Standard (IeDEA DES) is a patient-centric data model designed to support data harmonization and data exchange among HIV clinics participating in the International Epidemiology Databases to Evaluate AIDS (IeDEA, iedea.org). The variables and code lists have been developed to accommodate data originating in both resource-rich and resource-limited settings. The IeDEA DES was forked with permission from the Europe-centric HICDEP HIV data model in 2012.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Epidemiology"],"domains":["Electronic health record"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","Denmark","France","Kenya","South Africa","Switzerland","Thailand","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7177,"fairsharing_record_id":1306,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:28.690Z","updated_at":"2021-09-30T09:28:28.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7178,"fairsharing_record_id":1306,"organisation_id":1487,"relation":"maintains","created_at":"2021-09-30T09:28:28.713Z","updated_at":"2021-09-30T09:28:28.713Z","grant_id":null,"is_lead":false,"saved_state":{"id":1487,"name":"International Epidemiology Databases to Evaluate AIDS (IeDEA)","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1307","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:26:50.000Z","updated_at":"2022-07-20T11:25:04.130Z","metadata":{"doi":"10.25504/FAIRsharing.4fa657","name":"Potato Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_330:ROOT","citations":[],"identifier":1307,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_330","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001132","bsg-s001132"],"name":"FAIRsharing record for: Potato Ontology","abbreviation":"CO_330","url":"https://fairsharing.org/10.25504/FAIRsharing.4fa657","doi":"10.25504/FAIRsharing.4fa657","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Solanum tuberosum"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[{"id":2802,"pubmed_id":null,"title":"The Potato Ontology: Delimitation of the Domain, Modelling Concepts, and Prospects of Performance","year":2011,"url":"https://link.springer.com/article/10.1007/s11540-010-9184-8","authors":"A. J. Haverkort \u0026 J. L. Top","journal":"Potato Research volume 54, pages119–136(2011)","doi":null,"created_at":"2021-09-30T08:27:44.608Z","updated_at":"2021-09-30T08:27:44.608Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1120,"relation":"undefined"}],"grants":[{"id":7179,"fairsharing_record_id":1307,"organisation_id":489,"relation":"maintains","created_at":"2021-09-30T09:28:28.738Z","updated_at":"2021-09-30T09:28:28.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":489,"name":"CGIAR Research Program on Roots, Tubers and Bananas","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7180,"fairsharing_record_id":1307,"organisation_id":1510,"relation":"maintains","created_at":"2021-09-30T09:28:28.763Z","updated_at":"2021-09-30T09:28:28.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":1510,"name":"International Potato Center (CIP), Peru","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7181,"fairsharing_record_id":1307,"organisation_id":1490,"relation":"maintains","created_at":"2021-09-30T09:28:28.788Z","updated_at":"2021-09-30T09:28:28.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":1490,"name":"International Food Policy and Research Institute (IFPRI), Washington D.C., USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1308","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.389Z","metadata":{"doi":"10.25504/FAIRsharing.jvgfka","name":"Traditional Medicine Meridian Value Sets","status":"ready","contacts":[{"contact_name":"Meri Robinson Nicol","contact_email":"robinsonm@who.int"}],"homepage":"https://bioportal.bioontology.org/ontologies/TM-MER","identifier":1308,"description":"The meridian value set used in the International Classification of Traditional Medicine. The value set for the Signs and Symptoms property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-MER","support_links":[{"url":"tudorache@stanford.edu","name":"Tania Tudorache","type":"Support email"},{"url":"https://sites.google.com/site/whoictm/home","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-MER","name":"TM-MER","portal":"BioPortal"}]},"legacy_ids":["bsg-002706","bsg-s002706"],"name":"FAIRsharing record for: Traditional Medicine Meridian Value Sets","abbreviation":"TM-MER","url":"https://fairsharing.org/10.25504/FAIRsharing.jvgfka","doi":"10.25504/FAIRsharing.jvgfka","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The meridian value set used in the International Classification of Traditional Medicine. The value set for the Signs and Symptoms property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7182,"fairsharing_record_id":1308,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:28:28.822Z","updated_at":"2021-09-30T09:28:28.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1309","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-09-29T11:54:59.501Z","metadata":{"doi":"10.25504/FAIRsharing.ech3sa","name":"ISO 639-2: Codes for the Representation of Names of Languages Part 2: Alpha-3 Code","status":"ready","contacts":[{"contact_name":"Library of Congress Network Development and MARC Standards Office","contact_email":"iso639-2@loc.gov"}],"homepage":"https://www.iso.org/standard/4767.html","citations":[],"identifier":1309,"description":"ISO 639-2:1998 provides two sets of three-letter alphabetic codes for the representation of names of languages, one for terminology applications and the other for bibliographic applications. The code sets are the same except for twenty-five languages that have variant language codes because of the criteria used for formulating them. The language codes were devised originally for use by libraries, information services, and publishers to indicate language in the exchange of information, especially in computerized systems. ISO 639-2 represents all languages contained in ISO 639-1 and in addition any other language as well as language groups as they may be coded for special purposes when more specificity in coding is needed. The languages listed in ISO 639-1 are a subset of the languages listed in ISO 639-2; every language code in the two-letter code set has a corresponding language code in the alpha-3 list, but not necessarily vice versa.","abbreviation":"ISO639-2:1998","support_links":[{"url":"http://www.loc.gov/standards/iso639-2/faq.html","name":"ISO 639 FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.loc.gov/standards/iso639-2/","name":"General Information","type":"Help documentation"},{"url":"http://www.loc.gov/standards/iso639-2/develop.html","name":"Development Information","type":"Help documentation"},{"url":"http://www.loc.gov/standards/iso639-2/langhome.html","name":"Library of Congress ISO 639-3 Home","type":"Help documentation"}],"year_creation":1998,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ISO639-2","name":"ISO639-2","portal":"BioPortal"}]},"legacy_ids":["bsg-000792","bsg-s000792"],"name":"FAIRsharing record for: ISO 639-2: Codes for the Representation of Names of Languages Part 2: Alpha-3 Code","abbreviation":"ISO639-2:1998","url":"https://fairsharing.org/10.25504/FAIRsharing.ech3sa","doi":"10.25504/FAIRsharing.ech3sa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 639-2:1998 provides two sets of three-letter alphabetic codes for the representation of names of languages, one for terminology applications and the other for bibliographic applications. The code sets are the same except for twenty-five languages that have variant language codes because of the criteria used for formulating them. The language codes were devised originally for use by libraries, information services, and publishers to indicate language in the exchange of information, especially in computerized systems. ISO 639-2 represents all languages contained in ISO 639-1 and in addition any other language as well as language groups as they may be coded for special purposes when more specificity in coding is needed. The languages listed in ISO 639-1 are a subset of the languages listed in ISO 639-2; every language code in the two-letter code set has a corresponding language code in the alpha-3 list, but not necessarily vice versa.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Language"],"countries":["United States","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7183,"fairsharing_record_id":1309,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:28.847Z","updated_at":"2021-09-30T09:28:28.847Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":10929,"fairsharing_record_id":1309,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:21:11.049Z","updated_at":"2023-09-27T14:21:11.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1310","type":"fairsharing_records","attributes":{"created_at":"2019-12-30T11:23:34.000Z","updated_at":"2023-03-14T16:48:12.222Z","metadata":{"doi":"10.25504/FAIRsharing.jIiytY","name":"Open Data Certificate","status":"ready","contacts":[{"contact_name":"Vladimir Otasevic","contact_email":"vladimir.otasevic@rcub.bg.ac.rs"}],"homepage":"http://certificates.theodi.org/en/","citations":[],"identifier":1310,"description":"Open Data Certificate is a free online tool developed and maintained by the Open Data Institute, to assess and recognise the sustainable publication of quality open data. It assess the legal, practical, technical and social aspects of publishing open data using best practice guidance.","abbreviation":null},"legacy_ids":["bsg-001424","bsg-s001424"],"name":"FAIRsharing record for: Open Data Certificate","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jIiytY","doi":"10.25504/FAIRsharing.jIiytY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Data Certificate is a free online tool developed and maintained by the Open Data Institute, to assess and recognise the sustainable publication of quality open data. It assess the legal, practical, technical and social aspects of publishing open data using best practice guidance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Quality","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["certification"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7185,"fairsharing_record_id":1310,"organisation_id":2254,"relation":"maintains","created_at":"2021-09-30T09:28:28.896Z","updated_at":"2021-09-30T09:28:28.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":2254,"name":"Open Data Institute (ODI), London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":7184,"fairsharing_record_id":1310,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:28.872Z","updated_at":"2021-09-30T09:28:28.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1311","type":"fairsharing_records","attributes":{"created_at":"2020-02-04T12:09:53.000Z","updated_at":"2022-07-20T11:30:19.024Z","metadata":{"doi":"10.25504/FAIRsharing.94ca5a","name":"Ontology of Experimental Events","status":"ready","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr"}],"homepage":"https://github.com/OpenSILEX/ontology-vocabularies","identifier":1311,"description":"The Ontology of Experimental Events (OEEv) characterizes events that occur during an experiment; for example, moving of plants, dates of sowing, application of a given treatment, harvesting, measurements or sampling for ‐omic measurements, or any category of technical problem. The OEEv ontology contains four groups of events, namely Faciility Management, Scientific Object Management, Trouble and Displacement","abbreviation":"OEEV","support_links":[{"url":"llorenc.cabrera-bosquet@inra.fr","name":"Lloren Cabrera-Bosquet","type":"Support email"}],"year_creation":2018},"legacy_ids":["bsg-001447","bsg-s001447"],"name":"FAIRsharing record for: Ontology of Experimental Events","abbreviation":"OEEV","url":"https://fairsharing.org/10.25504/FAIRsharing.94ca5a","doi":"10.25504/FAIRsharing.94ca5a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Experimental Events (OEEv) characterizes events that occur during an experiment; for example, moving of plants, dates of sowing, application of a given treatment, harvesting, measurements or sampling for ‐omic measurements, or any category of technical problem. The OEEv ontology contains four groups of events, namely Faciility Management, Scientific Object Management, Trouble and Displacement","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Experimental measurement","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2747,"pubmed_id":30152011,"title":"Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System.","year":2018,"url":"http://doi.org/10.1111/nph.15385","authors":"Neveu P,Tireau A,Hilgert N,Negre V,Mineau-Cesari J,Brichet N,Chapuis R,Sanchez I,Pommier C,Charnomordic B,Tardieu F,Cabrera-Bosquet L","journal":"New Phytol","doi":"10.1111/nph.15385","created_at":"2021-09-30T08:27:37.605Z","updated_at":"2021-09-30T08:27:37.605Z"}],"licence_links":[{"licence_name":"Affero GNU GPL v3.0","licence_id":15,"licence_url":"https://www.gnu.org/licenses/agpl-3.0.en.html","link_id":665,"relation":"undefined"}],"grants":[{"id":7186,"fairsharing_record_id":1311,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:28.927Z","updated_at":"2021-09-30T09:28:28.927Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1312","type":"fairsharing_records","attributes":{"created_at":"2019-12-03T14:03:09.000Z","updated_at":"2022-07-20T11:48:50.938Z","metadata":{"doi":"10.25504/FAIRsharing.z87h0e","name":"Minimal Information for Studies of Extracellular Vesicles","status":"ready","contacts":[{"contact_name":"Kenneth Witwer","contact_email":"kwitwer1@jhmi.edu","contact_orcid":"0000-0003-1664-4233"}],"homepage":"https://www.isev.org/misev","citations":[{"doi":"10.1080/20013078.2018.1535750","pubmed_id":30637094,"publication_id":2644}],"identifier":1312,"description":"The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific extracellular vesicle (EV)-associated functional activities, as well as a checklist that summarizes key points. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles (“MISEV”) guidelines for the field in 2014, which have been updated again in 2018.","abbreviation":"MISEV","year_creation":2018},"legacy_ids":["bsg-001419","bsg-s001419"],"name":"FAIRsharing record for: Minimal Information for Studies of Extracellular Vesicles","abbreviation":"MISEV","url":"https://fairsharing.org/10.25504/FAIRsharing.z87h0e","doi":"10.25504/FAIRsharing.z87h0e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific extracellular vesicle (EV)-associated functional activities, as well as a checklist that summarizes key points. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles (“MISEV”) guidelines for the field in 2014, which have been updated again in 2018.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Cell Biology","Biology"],"domains":["Vesicle"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2644,"pubmed_id":30637094,"title":"Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines","year":2019,"url":"http://doi.org/10.1080/20013078.2018.1535750","authors":"Théry C, Witwer KW, Aikawa E, Alcaraz MJ, Anderson JD, Andriantsitohaina R, Antoniou A, Arab T, Archer F, Atkin-Smith GK, Ayre DC, Bach JM, Bachurski D, Baharvand H, Balaj L, Baldacchino S, Bauer NN, Baxter AA, Bebawy M, Beckham C, Bedina Zavec A, Benmoussa A, Berardi AC, Bergese P, Bielska E, Blenkiron C, Bobis-Wozowicz S, Boilard E, Boireau W, Bongiovanni A, Borràs FE, Bosch S, Boulanger CM, Breakefield X, Breglio AM, Brennan MÁ, Brigstock DR, Brisson A, Broekman ML, Bromberg JF, Bryl-Górecka P, Buch S, Buck AH, Burger D, Busatto S, Buschmann D, Bussolati B, Buzás EI, Byrd JB, Camussi G, Carter DR, Caruso S, Chamley LW, Chang YT, Chen C, Chen S, Cheng L, Chin AR, Clayton A, Clerici SP, Cocks A, Cocucci E, Coffey RJ, Cordeiro-da-Silva A, Couch Y, Coumans FA, Coyle B, Crescitelli R, Criado MF, D'Souza-Schorey C, Das S, Datta Chaudhuri A, de Candia P, De Santana EF, De Wever O, Del Portillo HA, Demaret T, Deville S, Devitt A, Dhondt B, Di Vizio D, Dieterich LC, Dolo V, Dominguez Rubio AP, Dominici M, Dourado MR, Driedonks TA, Duarte FV, Duncan HM, Eichenberger RM, Ekström K, El Andaloussi S, Elie-Caille C, Erdbrügger U, Falcón-Pérez JM, Fatima F, Fish JE, Flores-Bellver M, Försönits A, Frelet-Barrand A, Fricke F, Fuhrmann G, Gabrielsson S, Gámez-Valero A, Gardiner C, Gärtner K, Gaudin R, Gho YS, Giebel B, Gilbert C, Gimona M, Giusti I, Goberdhan DC, Görgens A, Gorski SM, Greening DW, Gross JC, Gualerzi A, Gupta GN, Gustafson D, Handberg A, Haraszti RA, Harrison P, Hegyesi H, Hendrix A, Hill AF, Hochberg FH, Hoffmann KF, Holder B, Holthofer H, Hosseinkhani B, Hu G, Huang Y, Huber V, Hunt S, Ibrahim AG, Ikezu T, Inal JM, Isin M, Ivanova A, Jackson HK, Jacobsen S, Jay SM, Jayachandran M, Jenster G, Jiang L, Johnson SM, Jones JC, Jong A, Jovanovic-Talisman T, Jung S, Kalluri R, Kano SI, Kaur S, Kawamura Y, Keller ET, Khamari D, Khomyakova E, Khvorova A, Kierulf P, Kim KP, Kislinger T, Klingeborn M, Klinke DJ 2nd, Kornek M, Kosanović MM, Kovács ÁF, Krämer-Albers EM, Krasemann S, Krause M, Kurochkin IV, Kusuma GD, Kuypers S, Laitinen S, Langevin SM, Languino LR, Lannigan J, Lässer C, Laurent LC, Lavieu G, Lázaro-Ibáñez E, Le Lay S, Lee MS, Lee YXF, Lemos DS, Lenassi M, Leszczynska A, Li IT, Liao K, Libregts SF, Ligeti E, Lim R, Lim SK, Linē A, Linnemannstöns K, Llorente A, Lombard CA, Lorenowicz MJ, Lörincz ÁM, Lötvall J, Lovett J, Lowry MC, Loyer X, Lu Q, Lukomska B, Lunavat TR, Maas SL, Malhi H, Marcilla A, Mariani J, Mariscal J, Martens-Uzunova ES, Martin-Jaular L, Martinez MC, Martins VR, Mathieu M, Mathivanan S, Maugeri M, McGinnis LK, McVey MJ, Meckes DG Jr, Meehan KL, Mertens I, Minciacchi VR, Möller A, Møller Jørgensen M, Morales-Kastresana A, Morhayim J, Mullier F, Muraca M, Musante L, Mussack V, Muth DC, Myburgh KH, Najrana T, Nawaz M, Nazarenko I, Nejsum P, Neri C, Neri T, Nieuwland R, Nimrichter L, Nolan JP, Nolte-'t Hoen EN, Noren Hooten N, O'Driscoll L, O'Grady T, O'Loghlen A, Ochiya T, Olivier M, Ortiz A, Ortiz LA, Osteikoetxea X, Østergaard O, Ostrowski M, Park J, Pegtel DM, Peinado H, Perut F, Pfaffl MW, Phinney DG, Pieters BC, Pink RC, Pisetsky DS, Pogge von Strandmann E, Polakovicova I, Poon IK, Powell BH, Prada I, Pulliam L, Quesenberry P, Radeghieri A, Raffai RL, Raimondo S, Rak J, Ramirez MI, Raposo G, Rayyan MS, Regev-Rudzki N, Ricklefs FL, Robbins PD, Roberts DD, Rodrigues SC, Rohde E, Rome S, Rouschop KM, Rughetti A, Russell AE, Saá P, Sahoo S, Salas-Huenuleo E, Sánchez C, Saugstad JA, Saul MJ, Schiffelers RM, Schneider R, Schøyen TH, Scott A, Shahaj E, Sharma S, Shatnyeva O, Shekari F, Shelke GV, Shetty AK, Shiba K, Siljander PR, Silva AM, Skowronek A, Snyder OL 2nd, Soares RP, Sódar BW, Soekmadji C, Sotillo J, Stahl PD, Stoorvogel W, Stott SL, Strasser EF, Swift S, Tahara H, Tewari M, Timms K, Tiwari S, Tixeira R, Tkach M, Toh WS, Tomasini R, Torrecilhas AC, Tosar JP, Toxavidis V, Urbanelli L, Vader P, van Balkom BW, van der Grein SG, Van Deun J, van Herwijnen MJ, Van Keuren-Jensen K, van Niel G, van Royen ME, van Wijnen AJ, Vasconcelos MH, Vechetti IJ Jr, Veit TD, Vella LJ, Velot É, Verweij FJ, Vestad B, Viñas JL, Visnovitz T, Vukman KV, Wahlgren J, Watson DC, Wauben MH, Weaver A, Webber JP, Weber V, Wehman AM, Weiss DJ, Welsh JA, Wendt S, Wheelock AM, Wiener Z, Witte L, Wolfram J, Xagorari A, Xander P, Xu J, Yan X, Yáñez-Mó M, Yin H, Yuana Y, Zappulli V, Zarubova J, Žėkas V, Zhang JY, Zhao Z, Zheng L, Zheutlin AR, Zickler AM, Zimmermann P, Zivkovic AM, Zocco D, Zuba-Surma EK","journal":"Journal of Extracellular Vesicles","doi":"10.1080/20013078.2018.1535750","created_at":"2021-09-30T08:27:24.673Z","updated_at":"2021-09-30T08:27:24.673Z"},{"id":3208,"pubmed_id":null,"title":"Updating the MISEV minimal requirements for extracellular vesicle studies: building bridges to reproducibility","year":2017,"url":"http://dx.doi.org/10.1080/20013078.2017.1396823","authors":"Witwer, Kenneth W.; Soekmadji, Carolina; Hill, Andrew F.; Wauben, Marca H.; Buzás, Edit I.; Di Vizio, Dolores; Falcon‐Perez, Juan M.; Gardiner, Chris; Hochberg, Fred; Kurochkin, Igor V.; Lötvall, Jan; Mathivanan, Suresh; Nieuwland, Rienk; Sahoo, Susmita; Tahara, Hidetoshi; Torrecilhas, Ana Claudia; Weaver, Alissa M.; Yin, Hang; Zheng, Lei; Gho, Yong Song; Quesenberry, Peter; Théry, Clotilde; ","journal":"Journal of Extracellular Vesicles","doi":"10.1080/20013078.2017.1396823","created_at":"2022-02-01T16:10:52.801Z","updated_at":"2022-02-01T16:10:52.801Z"}],"licence_links":[],"grants":[{"id":7187,"fairsharing_record_id":1312,"organisation_id":1518,"relation":"maintains","created_at":"2021-09-30T09:28:28.970Z","updated_at":"2021-09-30T09:28:28.970Z","grant_id":null,"is_lead":true,"saved_state":{"id":1518,"name":"International Society for Extracellular Vesicles","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBHQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--70a3a791c2c96c3720062a3ac59c17317a3001e8/MISEV.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1313","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:04:03.000Z","updated_at":"2022-12-13T09:38:42.680Z","metadata":{"doi":"10.25504/FAIRsharing.bQSMT2","name":"IVOA Photometry Data Model","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/PHOTDM/index.html","citations":[{"publication_id":2942}],"identifier":1313,"description":"The Photometry Data Model (PhotDM) standard describes photometry filters, photometric systems, magnitude systems, zero points and its interrelation with the other IVOA data models through a simple data model. Particular attention is given necessarily to optical photometry where specifications of magnitude systems and photometric zero points are required to convert photometric measurements into physical flux density units.","abbreviation":"PhotDM","year_creation":2013},"legacy_ids":["bsg-001167","bsg-s001167"],"name":"FAIRsharing record for: IVOA Photometry Data Model","abbreviation":"PhotDM","url":"https://fairsharing.org/10.25504/FAIRsharing.bQSMT2","doi":"10.25504/FAIRsharing.bQSMT2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Photometry Data Model (PhotDM) standard describes photometry filters, photometric systems, magnitude systems, zero points and its interrelation with the other IVOA data models through a simple data model. Particular attention is given necessarily to optical photometry where specifications of magnitude systems and photometric zero points are required to convert photometric measurements into physical flux density units.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11469}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2942,"pubmed_id":null,"title":"IVOA Photometry Data Model Version 1.0","year":2013,"url":"http://dx.doi.org/10.5479/ADS/bib/2013ivoa.spec.1005S","authors":"Salgado, Jesus; Osuna, Pedro; Rodrigo, Carlos; Allen, Mark; Louys, Mireille; McDowell, Jonathan; Baines, Deborah; Maiz Apellaniz, Jesus; Hatziminaoglou, Evanthia; Derriere, Sebastien; Lemson, Gerard","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.580Z","updated_at":"2021-09-30T08:28:02.580Z"}],"licence_links":[],"grants":[{"id":7188,"fairsharing_record_id":1313,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:29.011Z","updated_at":"2021-09-30T09:28:29.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7189,"fairsharing_record_id":1313,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:29.049Z","updated_at":"2021-09-30T09:28:29.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1323","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2023-10-19T08:40:53.825Z","metadata":{"doi":"10.25504/FAIRsharing.119q9t","name":"The UMLS Semantic Network","status":"ready","contacts":[{"contact_name":"Olivier Bodenreider","contact_email":"olivier@nlm.nih.gov","contact_orcid":"0000-0003-4769-4217"}],"homepage":"https://lhncbc.nlm.nih.gov/semanticnetwork/","citations":[{"doi":"10.1002/cfg.255","pubmed_id":18629109,"publication_id":1331}],"identifier":1323,"description":"The UMLS Semantic Network is one of three UMLS Knowledge Sources developed as part of the Unified Medical Language System project. The network provides a consistent categorization of all concepts represented in the UMLS Metathesaurus. The Semantic Network consists of (1) a set of broad subject categories, or Semantic Types, that provide a consistent categorization of all concepts represented in the UMLS Metathesaurus, and (2) a set of useful and important relationships, or Semantic Relations, that exist between Semantic Types. The Network provides information about the set of basic semantic types, or categories, which may be assigned to these concepts, and it defines the set of relationships that may hold between the semantic types. The Semantic Network contains 127 semantic types and 54 relationships. The Semantic Network serves as an authority for the semantic types that are assigned to concepts in the Metathesaurus. The Network defines these types, both with textual descriptions and by means of the information inherent in its hierarchies.","abbreviation":null,"support_links":[{"url":"https://www.nlm.nih.gov/research/umls/META3_current_semantic_types.html","name":"Current Semantic Types","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK9679/","name":"UMLS Semantic Network Manual","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/research/umls/META3_current_relations.html","name":"Current Relations in the UMLS Semantic Network","type":"Help documentation"},{"url":"https://wayback.archive-it.org/org-350/20180312141727/https://www.nlm.nih.gov/pubs/factsheets/umlssemn.html","name":"UMLS Semantic Network Factsheet","type":"Help documentation"}],"year_creation":1990,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/STY","name":"STY","portal":"BioPortal"}]},"legacy_ids":["bsg-000941","bsg-s000941"],"name":"FAIRsharing record for: The UMLS Semantic Network","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.119q9t","doi":"10.25504/FAIRsharing.119q9t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UMLS Semantic Network is one of three UMLS Knowledge Sources developed as part of the Unified Medical Language System project. The network provides a consistent categorization of all concepts represented in the UMLS Metathesaurus. The Semantic Network consists of (1) a set of broad subject categories, or Semantic Types, that provide a consistent categorization of all concepts represented in the UMLS Metathesaurus, and (2) a set of useful and important relationships, or Semantic Relations, that exist between Semantic Types. The Network provides information about the set of basic semantic types, or categories, which may be assigned to these concepts, and it defines the set of relationships that may hold between the semantic types. The Semantic Network contains 127 semantic types and 54 relationships. The Semantic Network serves as an authority for the semantic types that are assigned to concepts in the Metathesaurus. The Network defines these types, both with textual descriptions and by means of the information inherent in its hierarchies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17335},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17690},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12114},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12233},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16972}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Integration","Biomedical Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1331,"pubmed_id":18629109,"title":"An upper-level ontology for the biomedical domain.","year":2008,"url":"http://doi.org/10.1002/cfg.255","authors":"McCray AT","journal":"Comp Funct Genomics","doi":"10.1002/cfg.255","created_at":"2021-09-30T08:24:48.976Z","updated_at":"2021-09-30T08:24:48.976Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Switzerland (CC BY-NC-ND 2.5 CH)","licence_id":176,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/ch/","link_id":1741,"relation":"undefined"},{"licence_name":"UMLS Semantic Network Terms and Conditions","licence_id":812,"licence_url":"https://semanticnetwork.nlm.nih.gov/TermsAndConditions.html","link_id":1742,"relation":"undefined"}],"grants":[{"id":7213,"fairsharing_record_id":1323,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:29.933Z","updated_at":"2021-09-30T09:28:29.933Z","grant_id":null,"is_lead":true,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1324","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:19.962Z","metadata":{"doi":"10.25504/FAIRsharing.446bv0","name":"Ontology of Experimental Variables and Values","status":"ready","contacts":[{"contact_name":"Gully Burn","contact_email":"gully@usc.edu","contact_orcid":"0000-0003-1493-865X"}],"homepage":"https://bioportal.bioontology.org/ontologies/OOEVV","identifier":1324,"description":"The Ontology of Experimental Variables and Values (OoEVV) provides a lightweight representation of (a) the variables used to measure experimental properties and (b) the measurement scales that form the complex data types supporting that data. Many different variables measure the same thing, here we use a lightweight representation driven by a small number of classes and a large number of variables to focus only on providing a vocabulary of variables that may be extended for consolidation to standardized variables for specific things and functions to map between values from different measurements scales. We use the base ontology description to provide a very lightweight representation of the basic elements of an experimental design and we use views to instantiate it for specific domains.","abbreviation":"OoEVV","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OOEVV","name":"OOEVV","portal":"BioPortal"}]},"legacy_ids":["bsg-002782","bsg-s002782"],"name":"FAIRsharing record for: Ontology of Experimental Variables and Values","abbreviation":"OoEVV","url":"https://fairsharing.org/10.25504/FAIRsharing.446bv0","doi":"10.25504/FAIRsharing.446bv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Experimental Variables and Values (OoEVV) provides a lightweight representation of (a) the variables used to measure experimental properties and (b) the measurement scales that form the complex data types supporting that data. Many different variables measure the same thing, here we use a lightweight representation driven by a small number of classes and a large number of variables to focus only on providing a vocabulary of variables that may be extended for consolidation to standardized variables for specific things and functions to map between values from different measurements scales. We use the base ontology description to provide a very lightweight representation of the basic elements of an experimental design and we use views to instantiate it for specific domains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science","Life Science"],"domains":["Resource metadata","Experimental measurement","Protocol","Independent variable","Study design","Experimentally determined","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[{"id":580,"pubmed_id":null,"title":"Using the Ontology of Experimental Variables and Values (OoEVV) to model human neuroimaging experiments","year":2013,"url":"https://www.frontiersin.org/10.3389/conf.fninf.2013.09.00101/event_abstract","authors":"Jessica A. Turner and Gully A. Burns","journal":"Front. Neuroinform. Conference Abstract: Neuroinformatics","doi":null,"created_at":"2021-09-30T08:23:23.460Z","updated_at":"2021-09-30T08:23:23.460Z"},{"id":1781,"pubmed_id":23684873,"title":"Modeling functional Magnetic Resonance Imaging (fMRI) experimental variables in the Ontology of Experimental Variables and Values (OoEVV).","year":2013,"url":"http://doi.org/10.1016/j.neuroimage.2013.05.024","authors":"Burns GA,Turner JA","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2013.05.024","created_at":"2021-09-30T08:25:39.895Z","updated_at":"2021-09-30T08:25:39.895Z"}],"licence_links":[],"grants":[{"id":7216,"fairsharing_record_id":1324,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:30.015Z","updated_at":"2021-09-30T09:28:30.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7214,"fairsharing_record_id":1324,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:28:29.966Z","updated_at":"2021-09-30T09:28:29.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7215,"fairsharing_record_id":1324,"organisation_id":2251,"relation":"maintains","created_at":"2021-09-30T09:28:29.989Z","updated_at":"2021-09-30T09:28:29.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":2251,"name":"OoEVV Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7217,"fairsharing_record_id":1324,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:30.044Z","updated_at":"2021-09-30T09:28:30.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1325","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T14:04:36.000Z","updated_at":"2022-12-13T10:24:32.021Z","metadata":{"doi":"10.25504/FAIRsharing.y0fDAA","name":"Data Access Layer Interface","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/DALI/index.html","citations":[{"publication_id":2933}],"identifier":1325,"description":"The Data Access Layer Interface (DALI) standard defines the base web service interface common to all Data Access Layer (DAL) services. This standard defines the behaviour of common resources, the meaning and use of common parameters, success and error responses, and DAL service registration. The goal of this specification is to define the common elements that are shared across DAL services in order to foster consistency across concrete DAL service specifications and to enable standard re-usable client and service implementations and libraries to be written and widely adopted.","abbreviation":"DALI","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/DALI-1_0-Next","name":"DALI 1.0 Specification Issues","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/DALI","name":"Archived Discussions on DALI Standard Development","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001148","bsg-s001148"],"name":"FAIRsharing record for: Data Access Layer Interface","abbreviation":"DALI","url":"https://fairsharing.org/10.25504/FAIRsharing.y0fDAA","doi":"10.25504/FAIRsharing.y0fDAA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Access Layer Interface (DALI) standard defines the base web service interface common to all Data Access Layer (DAL) services. This standard defines the behaviour of common resources, the meaning and use of common parameters, success and error responses, and DAL service registration. The goal of this specification is to define the common elements that are shared across DAL services in order to foster consistency across concrete DAL service specifications and to enable standard re-usable client and service implementations and libraries to be written and widely adopted.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11471}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2933,"pubmed_id":null,"title":"Data Access Layer Interface Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0517D","authors":"Dowler, Patrick; Demleitner, Markus; Taylor, Mark; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.392Z","updated_at":"2021-09-30T08:28:01.392Z"}],"licence_links":[],"grants":[{"id":7219,"fairsharing_record_id":1325,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:30.125Z","updated_at":"2021-09-30T09:28:30.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7218,"fairsharing_record_id":1325,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:30.087Z","updated_at":"2021-09-30T09:28:30.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1326","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:48:42.866Z","metadata":{"doi":"10.25504/FAIRsharing.6641pb","name":"Ontology for Food Processing Experiment","status":"uncertain","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr"}],"homepage":"http://agroportal.lirmm.fr/ontologies/OFPE","identifier":1326,"description":"OFPE is a generic ontology specialized for food processing experiments, where raw materials are transformed into final products. It includes different classes that represent products and activities during food transformation processes, which can be classified into four main concepts: Product, Operation, Attribute, and Observation. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","abbreviation":"OFPE","year_creation":2016},"legacy_ids":["bsg-001119","bsg-s001119"],"name":"FAIRsharing record for: Ontology for Food Processing Experiment","abbreviation":"OFPE","url":"https://fairsharing.org/10.25504/FAIRsharing.6641pb","doi":"10.25504/FAIRsharing.6641pb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OFPE is a generic ontology specialized for food processing experiments, where raw materials are transformed into final products. It includes different classes that represent products and activities during food transformation processes, which can be classified into four main concepts: Product, Operation, Attribute, and Observation. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Life Science","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1755,"relation":"undefined"}],"grants":[{"id":7220,"fairsharing_record_id":1326,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:30.162Z","updated_at":"2021-09-30T09:28:30.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1327","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T11:31:54.000Z","updated_at":"2022-02-08T10:28:49.757Z","metadata":{"doi":"10.25504/FAIRsharing.880e6c","name":"W3C Provenance Notation","status":"ready","contacts":[{"contact_name":"Provenance Working Group","contact_email":"team-prov-chairs@w3.org"}],"homepage":"http://www.w3.org/TR/prov-n/","identifier":1327,"description":"PROV-N is aimed at human consumption and allows serializations of PROV instances to be created in a compact manner. PROV-N facilitates the mapping of the PROV data model to concrete syntax, and is used as the basis for a formal semantics of PROV (PROV-SEM). For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-N","support_links":[{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-sem/","name":"PROV-SEM","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001296","bsg-s001296"],"name":"FAIRsharing record for: W3C Provenance Notation","abbreviation":"PROV-N","url":"https://fairsharing.org/10.25504/FAIRsharing.880e6c","doi":"10.25504/FAIRsharing.880e6c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROV-N is aimed at human consumption and allows serializations of PROV instances to be created in a compact manner. PROV-N facilitates the mapping of the PROV data model to concrete syntax, and is used as the basis for a formal semantics of PROV (PROV-SEM). For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16968}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1824,"relation":"undefined"}],"grants":[{"id":7221,"fairsharing_record_id":1327,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:30.204Z","updated_at":"2021-09-30T09:28:30.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1328","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:01:57.557Z","metadata":{"doi":"10.25504/FAIRsharing.vbejb6","name":"Genomic Feature and Variation Ontology","status":"ready","contacts":[{"contact_name":"Joachim Baran","contact_email":"kim@codamono.com"}],"homepage":"https://github.com/BioInterchange/Ontologies","citations":[{"doi":"10.7717/peerj.933","pubmed_id":26019997,"publication_id":947}],"identifier":1328,"description":"The Genomic Feature and Variation Ontology (GFVO) is modeled to represent genomic data using the Resource Description Format (RDF) or Linked Data using JSON (JSON-LD). The GFVO specifically addresses genomic data as it is regularly shared using the GFF3 (incl. FASTA), GTF, GVF and VCF file formats. GFVO simplifies data integration and enables linking of genomic annotations across datasets through common semantics of genomic types and relations. NOTE: GFVO in BioPortal is a simplified version without ontology imports and having class/property equivalences removed.","abbreviation":"GFVO","support_links":[{"url":"robert.hoehndorf@kaust.edu.sa","name":"Robert Hoehndorf","type":"Support email"},{"url":"https://github.com/BioInterchange/Ontologies/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://www.codamono.com/biointerchange/documentation/","name":"Usage within BioInterchange","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GFVO","name":"GFVO","portal":"BioPortal"}]},"legacy_ids":["bsg-000959","bsg-s000959"],"name":"FAIRsharing record for: Genomic Feature and Variation Ontology","abbreviation":"GFVO","url":"https://fairsharing.org/10.25504/FAIRsharing.vbejb6","doi":"10.25504/FAIRsharing.vbejb6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic Feature and Variation Ontology (GFVO) is modeled to represent genomic data using the Resource Description Format (RDF) or Linked Data using JSON (JSON-LD). The GFVO specifically addresses genomic data as it is regularly shared using the GFF3 (incl. FASTA), GTF, GVF and VCF file formats. GFVO simplifies data integration and enables linking of genomic annotations across datasets through common semantics of genomic types and relations. NOTE: GFVO in BioPortal is a simplified version without ontology imports and having class/property equivalences removed.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12526},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16922}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Genome annotation","Sequence feature","Sequence variant"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway","Saudi Arabia","United States"],"publications":[{"id":947,"pubmed_id":26019997,"title":"GFVO: the Genomic Feature and Variation Ontology.","year":2015,"url":"http://doi.org/10.7717/peerj.933","authors":"Baran J,Durgahee BS,Eilbeck K,Antezana E,Hoehndorf R,Dumontier M","journal":"PeerJ","doi":"10.7717/peerj.933","created_at":"2021-09-30T08:24:04.780Z","updated_at":"2021-09-30T08:24:04.780Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1827,"relation":"undefined"}],"grants":[{"id":7225,"fairsharing_record_id":1328,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:28:30.358Z","updated_at":"2021-09-30T09:28:30.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7222,"fairsharing_record_id":1328,"organisation_id":682,"relation":"maintains","created_at":"2021-09-30T09:28:30.246Z","updated_at":"2021-09-30T09:28:30.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":682,"name":"Department of Biomedical Informatics, School of Medicine, University of Utah","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7223,"fairsharing_record_id":1328,"organisation_id":675,"relation":"maintains","created_at":"2021-09-30T09:28:30.287Z","updated_at":"2021-09-30T09:28:30.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":675,"name":"Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7224,"fairsharing_record_id":1328,"organisation_id":583,"relation":"maintains","created_at":"2021-09-30T09:28:30.326Z","updated_at":"2021-09-30T09:28:30.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":583,"name":"Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Saudi Arabia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1329","type":"fairsharing_records","attributes":{"created_at":"2020-04-26T08:04:24.000Z","updated_at":"2022-07-20T09:26:59.177Z","metadata":{"doi":"10.25504/FAIRsharing.5c7cec","name":"CESSDA Vocabulary","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"cessda@cessda.eu"}],"homepage":"https://vocabularies.cessda.eu/#!discover","citations":[],"identifier":1329,"description":"CESSDA Vocabulary Service enables users to discover, browse, and download controlled vocabularies in a variety of languages. The service is provided by the Consortium of European Social Science Data Archives (CESSDA). The majority of the source (English) vocabularies included in the service have been created by the DDI Alliance. The Data Documentation Initiative (DDI) is an international standard for describing data produced by surveys and other observational methods in the social, behavioural, economic, and health sciences.","abbreviation":"CESSDA Vocabulary","support_links":[{"url":"https://vocabularies.cessda.eu/#!about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/CESSDA_Data","type":"Twitter"}]},"legacy_ids":["bsg-001467","bsg-s001467"],"name":"FAIRsharing record for: CESSDA Vocabulary","abbreviation":"CESSDA Vocabulary","url":"https://fairsharing.org/10.25504/FAIRsharing.5c7cec","doi":"10.25504/FAIRsharing.5c7cec","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CESSDA Vocabulary Service enables users to discover, browse, and download controlled vocabularies in a variety of languages. The service is provided by the Consortium of European Social Science Data Archives (CESSDA). The majority of the source (English) vocabularies included in the service have been created by the DDI Alliance. The Data Documentation Initiative (DDI) is an international standard for describing data produced by surveys and other observational methods in the social, behavioural, economic, and health sciences.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12555}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Social Science","Public Health","Social and Behavioural Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[{"licence_name":"CESSDA Acceptable Use Policy and Conditions of Use","licence_id":120,"licence_url":"https://www.cessda.eu/Acceptable-Use-Policy","link_id":2056,"relation":"undefined"},{"licence_name":"CESSDA Cookie and Privacy Policy","licence_id":121,"licence_url":"https://www.cessda.eu/Privacy-policy","link_id":2055,"relation":"undefined"}],"grants":[{"id":7226,"fairsharing_record_id":1329,"organisation_id":602,"relation":"maintains","created_at":"2021-09-30T09:28:30.396Z","updated_at":"2021-09-30T09:28:30.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":602,"name":"Consortium of European Social Science Data Archives (CESSDA), Bergen, Norway","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1330","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:21:12.091Z","metadata":{"doi":"10.25504/FAIRsharing.9228fv","name":"French Crop Usage","status":"ready","contacts":[{"contact_name":"Catherine Roussey","contact_email":"catherine.roussey@inrae.fr"}],"homepage":"http://ontology.inrae.fr/cropusage","identifier":1330,"description":"A thesaurus about crops cultivated in France. The hierarchy is based on the final destination of the crop (human food, animal breeding, food industry) and the cultivated system. The hierachy is not based on scientific agronomic taxon like (species, genus). We are interested on categorize the usage of the crop, not on the plant classification.","abbreviation":"CROPUSAGE","year_creation":2016},"legacy_ids":["bsg-001120","bsg-s001120"],"name":"FAIRsharing record for: French Crop Usage","abbreviation":"CROPUSAGE","url":"https://fairsharing.org/10.25504/FAIRsharing.9228fv","doi":"10.25504/FAIRsharing.9228fv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A thesaurus about crops cultivated in France. The hierarchy is based on the final destination of the crop (human food, animal breeding, food industry) and the cultivated system. The hierachy is not based on scientific agronomic taxon like (species, genus). We are interested on categorize the usage of the crop, not on the plant classification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agricultural Engineering","Agriculture","Life Science"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2742,"pubmed_id":null,"title":"A methodology for the publication of agricultural alert bulletins as LOD","year":2017,"url":"https://doi.org/10.1016/j.compag.2017.10.022","authors":"Catherine Roussey, Stephan Bernard, François Pinet, Xavier Reboud, Vincent Cellier, Ivan Sivadon, Danièle Simonneau, Anne-Laure Bourigault","journal":"Computers and Electronics in Agriculture","doi":"https://doi.org/10.1016/j.compag.2017.10.022","created_at":"2021-09-30T08:27:36.781Z","updated_at":"2021-09-30T08:27:36.781Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1830,"relation":"undefined"}],"grants":[{"id":7228,"fairsharing_record_id":1330,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:30.476Z","updated_at":"2021-09-30T09:28:30.476Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1319","type":"fairsharing_records","attributes":{"created_at":"2018-04-24T11:07:38.000Z","updated_at":"2024-01-28T15:57:44.730Z","metadata":{"doi":"10.25504/FAIRsharing.3e603c","name":"Persistent Uniform Resource Locator","status":"ready","contacts":[],"homepage":"https://code.google.com/archive/p/persistenturls/","citations":[],"identifier":1319,"description":"PURLs are Web addresses or Uniform Resource Locators (URLs) that act as permanent identifiers in the face of a dynamic and changing Web infrastructure. Instead of resolving directly to Web resources (documents, data, services, people, etc.). PURLs allow third party control over both URL resolution and resource metadata provision. A URL is simply an address of a resource on the World Wide Web. A Persistent URL is an address on the World Wide Web that causes a redirection to another Web resource. If a Web resource changes location (and hence URL), a PURL pointing to it can be updated. A user of a PURL always uses the same Web address, even though the resource in question may have moved. PURLs may be used by publishers to manage their own information space or by Web users to manage theirs; a PURL service is independent of the publisher of information. Please note that the referenced homepage contains links to an archived google code site, and may not refer to the current specification location. Please get in touch with us if you have more information.","abbreviation":"PURL","support_links":[{"url":"https://groups.google.com/forum/#!forum/persistenturls","name":"PURL googlegroup","type":"Forum"},{"url":"https://code.google.com/archive/p/persistenturls/issues","name":"Google Code Issue Tracker","type":"Help documentation"}],"year_creation":1995,"regular_expression":"^(ftp|http|https):\\/\\/[^ \"]+$ "},"legacy_ids":["bsg-001183","bsg-s001183"],"name":"FAIRsharing record for: Persistent Uniform Resource Locator","abbreviation":"PURL","url":"https://fairsharing.org/10.25504/FAIRsharing.3e603c","doi":"10.25504/FAIRsharing.3e603c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PURLs are Web addresses or Uniform Resource Locators (URLs) that act as permanent identifiers in the face of a dynamic and changing Web infrastructure. Instead of resolving directly to Web resources (documents, data, services, people, etc.). PURLs allow third party control over both URL resolution and resource metadata provision. A URL is simply an address of a resource on the World Wide Web. A Persistent URL is an address on the World Wide Web that causes a redirection to another Web resource. If a Web resource changes location (and hence URL), a PURL pointing to it can be updated. A user of a PURL always uses the same Web address, even though the resource in question may have moved. PURLs may be used by publishers to manage their own information space or by Web users to manage theirs; a PURL service is independent of the publisher of information. Please note that the referenced homepage contains links to an archived google code site, and may not refer to the current specification location. Please get in touch with us if you have more information.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17387},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13172},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13214},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13242}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1245,"relation":"undefined"}],"grants":[{"id":7202,"fairsharing_record_id":1319,"organisation_id":7,"relation":"funds","created_at":"2021-09-30T09:28:29.520Z","updated_at":"2021-09-30T09:28:29.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":7,"name":"3 Round Stones","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7207,"fairsharing_record_id":1319,"organisation_id":3273,"relation":"maintains","created_at":"2021-09-30T09:28:29.715Z","updated_at":"2021-09-30T09:28:29.715Z","grant_id":null,"is_lead":false,"saved_state":{"id":3273,"name":"Zepheira","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7203,"fairsharing_record_id":1319,"organisation_id":2702,"relation":"funds","created_at":"2021-09-30T09:28:29.562Z","updated_at":"2021-09-30T09:28:29.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":2702,"name":"Talis","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7204,"fairsharing_record_id":1319,"organisation_id":2222,"relation":"funds","created_at":"2021-09-30T09:28:29.603Z","updated_at":"2021-09-30T09:28:29.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":2222,"name":"OCLC","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7205,"fairsharing_record_id":1319,"organisation_id":2,"relation":"funds","created_at":"2021-09-30T09:28:29.645Z","updated_at":"2021-09-30T09:28:29.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":2,"name":"1060 Research","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7206,"fairsharing_record_id":1319,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:28:29.683Z","updated_at":"2021-09-30T09:28:29.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1320","type":"fairsharing_records","attributes":{"created_at":"2020-09-10T13:02:32.000Z","updated_at":"2022-07-20T09:00:01.678Z","metadata":{"doi":"10.25504/FAIRsharing.83d974","name":"Keyhole Markup Language","status":"ready","contacts":[{"contact_name":"OGC General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/kml/","identifier":1320,"description":"KML is an XML language focused on geographic visualization, including annotation of maps and images. Geographic visualization includes not only the presentation of graphical data on the globe, but also the control of the user's navigation in the sense of where to go and where to look. KML is complementary to most of the key existing OGC standards including GML (Geography Markup Language), WFS (Web Feature Service) and WMS (Web Map Service).","abbreviation":"KML","year_creation":2008},"legacy_ids":["bsg-001520","bsg-s001520"],"name":"FAIRsharing record for: Keyhole Markup Language","abbreviation":"KML","url":"https://fairsharing.org/10.25504/FAIRsharing.83d974","doi":"10.25504/FAIRsharing.83d974","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KML is an XML language focused on geographic visualization, including annotation of maps and images. Geographic visualization includes not only the presentation of graphical data on the globe, but also the control of the user's navigation in the sense of where to go and where to look. KML is complementary to most of the key existing OGC standards including GML (Geography Markup Language), WFS (Web Feature Service) and WMS (Web Map Service).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science","Data Visualization"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2235,"relation":"undefined"}],"grants":[{"id":7208,"fairsharing_record_id":1320,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:29.739Z","updated_at":"2021-09-30T09:28:29.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1321","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T09:56:39.948Z","metadata":{"doi":"10.25504/FAIRsharing.js20q3","name":"Chickpea Ontology","status":"ready","contacts":[{"contact_name":"Trushar Shah","contact_email":"tm.shah@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_338:ROOT","citations":[],"identifier":1321,"description":"Development of crop-specific trait ontologies including the Chickpea Ontology began in 2008 as part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_338","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001109","bsg-s001109"],"name":"FAIRsharing record for: Chickpea Ontology","abbreviation":"CO_338","url":"https://fairsharing.org/10.25504/FAIRsharing.js20q3","doi":"10.25504/FAIRsharing.js20q3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Development of crop-specific trait ontologies including the Chickpea Ontology began in 2008 as part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food","Phenotype"],"taxonomies":["Cicer arietinum"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1777,"relation":"undefined"}],"grants":[{"id":7210,"fairsharing_record_id":1321,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:29.803Z","updated_at":"2021-09-30T09:28:29.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7209,"fairsharing_record_id":1321,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:28:29.767Z","updated_at":"2021-09-30T09:28:29.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1322","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:01:23.158Z","metadata":{"doi":"10.25504/FAIRsharing.yc237s","name":"Multi-Scale Multi-Step Ontology","status":"deprecated","contacts":[{"contact_name":"Juliette Dibie","contact_email":"juliette.dibie_barthelemy@agroparistech.fr"}],"homepage":"http://dx.doi.org/10.15454/1.4502762931471938E12","citations":[{"doi":"10.1007/978-3-319-40985-6_13","publication_id":2731}],"identifier":1322,"description":"The Multi-scale Multi-step ontology (MS2O) is an ontology to describe transformation processes. MS2O was created for an interdisciplinary project concerning transformation processes in food science. The use case concerns the production of stabilized micro-organisms performed at INRA (French National Institute for Agricultural Research). Experimental observations are available for some inputs of the production processes, at different steps and at a certain scale.","abbreviation":"MS2O","year_creation":2015,"deprecation_date":"2020-01-30","deprecation_reason":"As confirmed on their homepage, MS2O is obsolete and has been replaced by the Process and Observation Ontology."},"legacy_ids":["bsg-001111","bsg-s001111"],"name":"FAIRsharing record for: Multi-Scale Multi-Step Ontology","abbreviation":"MS2O","url":"https://fairsharing.org/10.25504/FAIRsharing.yc237s","doi":"10.25504/FAIRsharing.yc237s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Multi-scale Multi-step ontology (MS2O) is an ontology to describe transformation processes. MS2O was created for an interdisciplinary project concerning transformation processes in food science. The use case concerns the production of stabilized micro-organisms performed at INRA (French National Institute for Agricultural Research). Experimental observations are available for some inputs of the production processes, at different steps and at a certain scale.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Materials Engineering","Agricultural Engineering","Materials Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Processing"],"countries":["France"],"publications":[{"id":2731,"pubmed_id":null,"title":"M2SO - A Multi-scale and Multi-step Ontology for Transformation Processes: Application to Micro-Organisms","year":2016,"url":"https://hal.archives-ouvertes.fr/hal-01357749","authors":"Dibie J., Dervaux S., Doriot E., Ibanescu L., Penicaud C","journal":"In: Haemmerle O., Stapleton G., Faron Zucker C. (eds) Graph-Based Representation and Reasoning. ICCS 2016. Lecture Notes in Computer Science, vol 9717. Springer","doi":"10.1007/978-3-319-40985-6_13","created_at":"2021-09-30T08:27:35.406Z","updated_at":"2021-09-30T08:27:35.406Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1776,"relation":"undefined"}],"grants":[{"id":7211,"fairsharing_record_id":1322,"organisation_id":2907,"relation":"maintains","created_at":"2021-09-30T09:28:29.845Z","updated_at":"2021-09-30T09:28:29.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":2907,"name":"UMR0782 GMPA Gnie et Microbiologie des Procds Alimentaires","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7212,"fairsharing_record_id":1322,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:29.896Z","updated_at":"2021-09-30T09:28:29.896Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1314","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-07-20T11:04:25.964Z","metadata":{"doi":"10.25504/FAIRsharing.fgmzk8","name":"Plant Experimental Assay Ontology","status":"ready","contacts":[{"contact_name":"PEAO Team","contact_email":"peaoteam@gmail.com"}],"homepage":"https://bitbucket.org/PlantExpAssay/ontology","identifier":1314,"description":"The Plant Experimental Assay Ontology (PEAO) was created to describe experimental procedures within plant research, regardless of the scientific questions that prompted the assays. This ontology models entities from three distinct realms (biological, physical and data), which include experimental products, their relations and the protocols describing their manipulation. PEAO is intended to be used as a log book by experimentalists, providing a formal relation between entities.","abbreviation":"PEAO","support_links":[{"url":"https://bitbucket.org/PlantExpAssay/ontology/issues?status=new\u0026status=open","name":"Bitbucket Issue Tracker","type":"Forum"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PEAO","name":"PEAO","portal":"BioPortal"}]},"legacy_ids":["bsg-000867","bsg-s000867"],"name":"FAIRsharing record for: Plant Experimental Assay Ontology","abbreviation":"PEAO","url":"https://fairsharing.org/10.25504/FAIRsharing.fgmzk8","doi":"10.25504/FAIRsharing.fgmzk8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Experimental Assay Ontology (PEAO) was created to describe experimental procedures within plant research, regardless of the scientific questions that prompted the assays. This ontology models entities from three distinct realms (biological, physical and data), which include experimental products, their relations and the protocols describing their manipulation. PEAO is intended to be used as a log book by experimentalists, providing a formal relation between entities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Experimental measurement","Assay","Protocol","Study design","Experimentally determined"],"taxonomies":["Plantae"],"user_defined_tags":["Experimental condition"],"countries":["Portugal"],"publications":[],"licence_links":[],"grants":[{"id":7193,"fairsharing_record_id":1314,"organisation_id":1301,"relation":"maintains","created_at":"2021-09-30T09:28:29.161Z","updated_at":"2021-09-30T09:28:29.161Z","grant_id":null,"is_lead":false,"saved_state":{"id":1301,"name":"iBET","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7194,"fairsharing_record_id":1314,"organisation_id":1556,"relation":"maintains","created_at":"2021-09-30T09:28:29.203Z","updated_at":"2021-09-30T09:28:29.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":1556,"name":"ISEL","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7190,"fairsharing_record_id":1314,"organisation_id":1569,"relation":"maintains","created_at":"2021-09-30T09:28:29.082Z","updated_at":"2021-09-30T09:28:29.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":1569,"name":"ITQB","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7192,"fairsharing_record_id":1314,"organisation_id":1447,"relation":"maintains","created_at":"2021-09-30T09:28:29.131Z","updated_at":"2021-09-30T09:28:29.131Z","grant_id":null,"is_lead":false,"saved_state":{"id":1447,"name":"Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Lisboa, Portugal","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9387,"fairsharing_record_id":1314,"organisation_id":1081,"relation":"funds","created_at":"2022-04-11T12:07:34.965Z","updated_at":"2022-04-11T12:07:34.980Z","grant_id":1505,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"DATASTORM (Large-Scale Data Management in Cloud Environments) project ref. EXCL/EEI-ESS/0257/2012","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1315","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:10:49.314Z","metadata":{"doi":"10.25504/FAIRsharing.nj16g","name":"International Classification of Diseases Version 10","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"classifications@who.int"}],"homepage":"http://www.who.int/classifications/icd/en/","identifier":1315,"description":"The ICD is the international standard diagnostic classification for all general epidemiological, many health management purposes and clinical use. ICD-10 is the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD), a medical classification list by the World Health Organization (WHO). It contains codes for diseases, signs and symptoms, abnormal findings, complaints, social circumstances, and external causes of injury or diseases.","abbreviation":"ICD-10","support_links":[{"url":"https://www.who.int/classifications/help/icdfaq/en/","name":"ICD 10 FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://icd.who.int/browse10/Content/statichtml/ICD10Volume2_en_2016.pdf","name":"ICD Instruction Manual (PDF)","type":"Help documentation"},{"url":"http://apps.who.int/classifications/apps/icd/icd10training/","name":"ICD-10 Interactive Self Learning Tool","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/ICD-10","name":"ICD 10 Wikipedia entry","type":"Wikipedia"}],"year_creation":1990},"legacy_ids":["bsg-000274","bsg-s000274"],"name":"FAIRsharing record for: International Classification of Diseases Version 10","abbreviation":"ICD-10","url":"https://fairsharing.org/10.25504/FAIRsharing.nj16g","doi":"10.25504/FAIRsharing.nj16g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICD is the international standard diagnostic classification for all general epidemiological, many health management purposes and clinical use. ICD-10 is the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD), a medical classification list by the World Health Organization (WHO). It contains codes for diseases, signs and symptoms, abnormal findings, complaints, social circumstances, and external causes of injury or diseases.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17334},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11029},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11279},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12019},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16980}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":["Disease","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":461,"relation":"undefined"},{"licence_name":"WHO Permission Form for Commercial Use","licence_id":862,"licence_url":"http://www.who.int/about/licensing/copyright_form/en/","link_id":462,"relation":"undefined"}],"grants":[{"id":7195,"fairsharing_record_id":1315,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:29.244Z","updated_at":"2021-09-30T09:28:29.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7196,"fairsharing_record_id":1315,"organisation_id":3252,"relation":"funds","created_at":"2021-09-30T09:28:29.280Z","updated_at":"2021-09-30T09:28:29.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1316","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-01T22:30:51.297Z","metadata":{"doi":"10.25504/FAIRsharing.ka5tfc","name":"Health Level Seven Reference Implementation Model","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"mnm@lists.hl7.org"}],"homepage":"http://www.hl7.org/implement/standards/product_brief.cfm?product_id=186","citations":[],"identifier":1316,"description":"The Health Level Seven Version 3 (V3) Normative Edition—a suite of specifications based on HL7’s Reference Information Model (RIM)—provides a single source that allows implementers of V3 specifications to work with the full set of messages, data types, and terminologies needed to build a complete implementation. The Version 3 Normative Edition represents a new approach to clinical information exchange based on a model driven methodology that produces messages and electronic documents expressed in XML syntax. ","abbreviation":"HL7","support_links":[{"url":"http://www.hl7.org/about/FAQs/index.cfm?ref=nav","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"cross_references":[]},"legacy_ids":["bsg-002659","bsg-s002659"],"name":"FAIRsharing record for: Health Level Seven Reference Implementation Model","abbreviation":"HL7","url":"https://fairsharing.org/10.25504/FAIRsharing.ka5tfc","doi":"10.25504/FAIRsharing.ka5tfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Health Level Seven Version 3 (V3) Normative Edition—a suite of specifications based on HL7’s Reference Information Model (RIM)—provides a single source that allows implementers of V3 specifications to work with the full set of messages, data types, and terminologies needed to build a complete implementation. The Version 3 Normative Edition represents a new approach to clinical information exchange based on a model driven methodology that produces messages and electronic documents expressed in XML syntax. ","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11039},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12225}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Croatia","Germany","Mexico","Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"HL7 Privacy Policy","licence_id":397,"licence_url":"http://www.hl7.org/legal/privacy.cfm?ref=nav","link_id":228,"relation":"undefined"},{"licence_name":"HL7 Terms of Use","licence_id":398,"licence_url":"http://www.hl7.org/legal/tc.cfm?ref=nav","link_id":241,"relation":"undefined"}],"grants":[{"id":7197,"fairsharing_record_id":1316,"organisation_id":1223,"relation":"maintains","created_at":"2021-09-30T09:28:29.320Z","updated_at":"2021-09-30T09:28:29.320Z","grant_id":null,"is_lead":false,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7198,"fairsharing_record_id":1316,"organisation_id":1223,"relation":"funds","created_at":"2021-09-30T09:28:29.358Z","updated_at":"2021-09-30T09:28:29.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1317","type":"fairsharing_records","attributes":{"created_at":"2020-01-23T14:55:46.000Z","updated_at":"2022-09-02T09:15:40.416Z","metadata":{"doi":"10.25504/FAIRsharing.5794af","name":"European and Mediterranean Plant Protection Organization Codes","status":"ready","contacts":[{"contact_name":"EPPO Secretariat","contact_email":"hq@eppo.int"}],"homepage":"https://www.eppo.int/RESOURCES/eppo_databases/eppo_codes","citations":[],"identifier":1317,"description":"European and Mediterranean Plant Protection Organization (EPPO) Codes are computer codes developed for plants, pests (including pathogens) which are important in agriculture and plant protection. EPPO codes constitute a harmonized coding system which aims to facilitate the management of plant and pest names in computerized databases, as well as data exchange between IT systems.","abbreviation":"EPPO Codes","support_links":[{"url":"https://www.eppo.int/contact","name":"EPPO Contact Form","type":"Contact form"},{"url":"https://www.eppo.int/media/uploaded_images/RESOURCES/eppo_databases/A4_EPPO_Codes_2018.pdf","name":"Brief Description of EPPO Codes (PDF)","type":"Help documentation"},{"url":"https://twitter.com/EPPOnews","name":"@EPPOnews","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/EPPO_Code","name":"EPPO Code Wikipedia entry","type":"Wikipedia"},{"url":"https://www.eppo.int/media/uploaded_images/MEETINGS/Meetings_2021/webinar/02_EPPO_Codes_2021_ASR_VL.pdf","name":"General presentation on EPPO codes ","type":"Help documentation"}],"year_creation":1996},"legacy_ids":["bsg-001438","bsg-s001438"],"name":"FAIRsharing record for: European and Mediterranean Plant Protection Organization Codes","abbreviation":"EPPO Codes","url":"https://fairsharing.org/10.25504/FAIRsharing.5794af","doi":"10.25504/FAIRsharing.5794af","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: European and Mediterranean Plant Protection Organization (EPPO) Codes are computer codes developed for plants, pests (including pathogens) which are important in agriculture and plant protection. EPPO codes constitute a harmonized coding system which aims to facilitate the management of plant and pest names in computerized databases, as well as data exchange between IT systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Taxonomy","Agriculture"],"domains":["Centrally registered identifier","Pathogen"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":7200,"fairsharing_record_id":1317,"organisation_id":874,"relation":"maintains","created_at":"2021-09-30T09:28:29.441Z","updated_at":"2021-09-30T09:28:29.441Z","grant_id":null,"is_lead":true,"saved_state":{"id":874,"name":"EPPO Secretariat","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7199,"fairsharing_record_id":1317,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:28:29.404Z","updated_at":"2021-09-30T09:28:29.404Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1331","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:30.460Z","metadata":{"doi":"10.25504/FAIRsharing.dt7hn8","name":"Minimum Information About a Bioactive Entity","status":"ready","contacts":[{"contact_name":"Sandra Orchard","contact_email":"orchard@ebi.ac.uk"}],"homepage":"http://www.psidev.info/miabe","citations":[{"doi":"10.1038/nrd3503","pubmed_id":21878981,"publication_id":856}],"identifier":1331,"description":"MIABE is intended to be used as a guideline which should be consulted prior to the publication of data describing small molecules and their interactions with one or more target molecules. It was developed by representatives of pharmaceutical companies, data resource providers and academic groups.","abbreviation":"MIABE","support_links":[{"url":"webmaster@psidev.info","name":"General Contact","type":"Support email"}],"year_creation":2010},"legacy_ids":["bsg-000159","bsg-s000159"],"name":"FAIRsharing record for: Minimum Information About a Bioactive Entity","abbreviation":"MIABE","url":"https://fairsharing.org/10.25504/FAIRsharing.dt7hn8","doi":"10.25504/FAIRsharing.dt7hn8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIABE is intended to be used as a guideline which should be consulted prior to the publication of data describing small molecules and their interactions with one or more target molecules. It was developed by representatives of pharmaceutical companies, data resource providers and academic groups.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11448},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11601},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12082}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicology","Biomedical Science"],"domains":["Molecular entity","Biomarker","Bioactivity","Small molecule binding","Molecular interaction","Small molecule","Target"],"taxonomies":["All"],"user_defined_tags":["Drug Target"],"countries":["Canada","Sweden","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":856,"pubmed_id":21878981,"title":"Minimum information about a bioactive entity (MIABE).","year":2011,"url":"http://doi.org/10.1038/nrd3503","authors":"Orchard S,Al-Lazikani B,Bryant S,Clark D,Calder E,Dix I,Engkvist O,Forster M,Gaulton A,Gilson M,Glen R,Grigorov M,Hammond-Kosack K,Harland L,Hopkins A,Larminie C,Lynch N,Mann RK,Murray-Rust P,Lo Piparo E,Southan C,Steinbeck C,Wishart D,Hermjakob H,Overington J,Thornton J","journal":"Nat Rev Drug Discov","doi":"10.1038/nrd3503","created_at":"2021-09-30T08:23:54.471Z","updated_at":"2021-09-30T08:23:54.471Z"}],"licence_links":[],"grants":[{"id":7230,"fairsharing_record_id":1331,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:30.531Z","updated_at":"2021-09-30T09:28:30.531Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7229,"fairsharing_record_id":1331,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:30.508Z","updated_at":"2021-09-30T09:32:41.140Z","grant_id":1732,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"086151","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7231,"fairsharing_record_id":1331,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:30.556Z","updated_at":"2021-09-30T09:31:53.052Z","grant_id":1370,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/1000/488/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8334,"fairsharing_record_id":1331,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:09.109Z","updated_at":"2021-09-30T09:32:09.170Z","grant_id":1491,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBS/E/C/00004973","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1318","type":"fairsharing_records","attributes":{"created_at":"2020-09-10T12:23:03.000Z","updated_at":"2022-07-20T09:00:01.583Z","metadata":{"doi":"10.25504/FAIRsharing.2e4a34","name":"Environmental Systems Research Institute Shapefile","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@esri.com"}],"homepage":"https://support.esri.com/en/white-paper/279","identifier":1318,"description":"An Environmental Systems Research Institute (ESRI) Shapefile stores non-topological geometry and attribute information for the spatial features in a data set. The geometry for a feature is stored as a shape comprising a set of vector coordinates, and can model single features that overlap or that are non-contiguous. Shapefiles can support point, line, and area features. Area features are represented as closed loop, double-digitized polygons.","abbreviation":"ESRI Shapefile","support_links":[{"url":"https://en.wikipedia.org/wiki/Shapefile","name":"Shapefile Wikipedia Page","type":"Wikipedia"}],"year_creation":1998},"legacy_ids":["bsg-001519","bsg-s001519"],"name":"FAIRsharing record for: Environmental Systems Research Institute Shapefile","abbreviation":"ESRI Shapefile","url":"https://fairsharing.org/10.25504/FAIRsharing.2e4a34","doi":"10.25504/FAIRsharing.2e4a34","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An Environmental Systems Research Institute (ESRI) Shapefile stores non-topological geometry and attribute information for the spatial features in a data set. The geometry for a feature is stored as a shape comprising a set of vector coordinates, and can model single features that overlap or that are non-contiguous. Shapefiles can support point, line, and area features. Area features are represented as closed loop, double-digitized polygons.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7201,"fairsharing_record_id":1318,"organisation_id":867,"relation":"maintains","created_at":"2021-09-30T09:28:29.480Z","updated_at":"2021-09-30T09:28:29.480Z","grant_id":null,"is_lead":true,"saved_state":{"id":867,"name":"Environmental Systems Research Institute, Redlands, California, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1418","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T00:29:17.000Z","updated_at":"2023-05-05T07:49:13.430Z","metadata":{"doi":"10.25504/FAIRsharing.77fbbf","name":"Gene Ontology (GO) Gene Association File Format 2.2","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium Helpdesk","contact_email":"help@geneontology.org","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://geneontology.org/docs/go-annotation-file-gaf-format-2.2/","citations":[],"identifier":1418,"description":"Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.2 (GAF 2.2). The annotation flat file format is comprised of 17 tab-delimited fields. This version is the default GAF format as of March 2021.","abbreviation":"GAF 2.2","support_links":[{"url":"https://github.com/geneontology/helpdesk/issues","name":"GO GitHub Issue Tracker","type":"Github"},{"url":"help@geneontology.org","name":"GO Helpdesk","type":"Support email"},{"url":"http://geneontology.org/docs/go-annotations/","name":"Introduction to GO annotations","type":"Help documentation"}],"year_creation":2021,"associated_tools":[{"url":"http://noctua.berkeleybop.org/","name":"NOCTUA Curation Platform"},{"url":"http://geneontology.org/go-cam","name":"GO Causal Activity Models (CAMs) viewer"}]},"legacy_ids":["bsg-001561","bsg-s001561"],"name":"FAIRsharing record for: Gene Ontology (GO) Gene Association File Format 2.2","abbreviation":"GAF 2.2","url":"https://fairsharing.org/10.25504/FAIRsharing.77fbbf","doi":"10.25504/FAIRsharing.77fbbf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.2 (GAF 2.2). The annotation flat file format is comprised of 17 tab-delimited fields. This version is the default GAF format as of March 2021.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Animal Genetics","Genetics","Human Genetics","Microbial Genetics","Molecular Microbiology","Life Science","Molecular Genetics","Plant Genetics"],"domains":["Gene name","Gene Ontology enrichment","Gene functional annotation","Function analysis","Molecular function","Cellular component","Biological process","Gene expression","Regulation of gene expression","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1544,"relation":"undefined"}],"grants":[{"id":7435,"fairsharing_record_id":1418,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:28:37.681Z","updated_at":"2021-09-30T09:28:37.681Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1419","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2021-12-10T15:11:56.318Z","metadata":{"doi":"10.25504/FAIRsharing.97z25b","name":"Ontology for Geography Markup Language","status":"deprecated","contacts":[{"contact_name":"Kim Durante","contact_email":"kdurante@stanford.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/GML","citations":[],"identifier":1419,"description":"The Geography Markup Language (GML) is an RDF encoding for the transport and storage of geographic information, including both the geometry and properties of geographic features. Vocabulary terms are declared using OWL language to support RDF applications.","abbreviation":"GML3.0","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GML","name":"GML","portal":"BioPortal"}],"deprecation_date":"2021-12-10","deprecation_reason":"No documentation or homepage for this resource can be found. "},"legacy_ids":["bsg-000787","bsg-s000787"],"name":"FAIRsharing record for: Ontology for Geography Markup Language","abbreviation":"GML3.0","url":"https://fairsharing.org/10.25504/FAIRsharing.97z25b","doi":"10.25504/FAIRsharing.97z25b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geography Markup Language (GML) is an RDF encoding for the transport and storage of geographic information, including both the geometry and properties of geographic features. Vocabulary terms are declared using OWL language to support RDF applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1420","type":"fairsharing_records","attributes":{"created_at":"2021-01-12T13:24:21.000Z","updated_at":"2021-11-24T13:16:35.132Z","metadata":{"doi":"10.25504/FAIRsharing.a4dcb9","name":"American Geosciences Institute Glossary of Geology","status":"ready","contacts":[{"contact_email":"jr@agiweb.org"}],"homepage":"https://www.americangeosciences.org/pubs/glossary","identifier":1420,"description":"The American Geosciences Institute (AGI) Glossary of Geology is a reference vocabulary for the earth sciences. Information includes terms and definitions together with term history; the meaning of abbreviations, prefixes and acronyms common in the geoscience vocabulary; the dates many terms were first used; the preferred term of two or more synonyms; and in some cases a syllabification guide and background information. The Glossary is available in print, e-book or via online subscription. Online subscriptions are available for institutions only, and not to individuals.","abbreviation":"AGI Glossary of Geology"},"legacy_ids":["bsg-001577","bsg-s001577"],"name":"FAIRsharing record for: American Geosciences Institute Glossary of Geology","abbreviation":"AGI Glossary of Geology","url":"https://fairsharing.org/10.25504/FAIRsharing.a4dcb9","doi":"10.25504/FAIRsharing.a4dcb9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The American Geosciences Institute (AGI) Glossary of Geology is a reference vocabulary for the earth sciences. Information includes terms and definitions together with term history; the meaning of abbreviations, prefixes and acronyms common in the geoscience vocabulary; the dates many terms were first used; the preferred term of two or more synonyms; and in some cases a syllabification guide and background information. The Glossary is available in print, e-book or via online subscription. Online subscriptions are available for institutions only, and not to individuals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"AGI Glossary of Geology Subscription required for access","licence_id":17,"licence_url":"https://www.americangeosciences.org/pubs/glossary","link_id":353,"relation":"undefined"}],"grants":[{"id":7436,"fairsharing_record_id":1420,"organisation_id":76,"relation":"maintains","created_at":"2021-09-30T09:28:37.706Z","updated_at":"2021-09-30T09:28:37.706Z","grant_id":null,"is_lead":true,"saved_state":{"id":76,"name":"American Geosciences Institute (AGI), Alexandria, VA, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1421","type":"fairsharing_records","attributes":{"created_at":"2020-08-04T20:57:30.000Z","updated_at":"2021-11-24T13:13:30.307Z","metadata":{"name":"Minimum Information for Publication of PCR-based Telomere Length Measurement","status":"in_development","contacts":[{"contact_name":"Stacy Drury","contact_email":"telomerenetwork@gmail.com"}],"homepage":"https://trn.tulane.edu/wp-content/uploads/sites/445/2020/08/TRN-Reporting-Guidelines-updated.pdf","identifier":1421,"description":"The Minimum Information for Publication of PCR-based Telomere Length Measurement (MIPTL) was developed to reflect the current recommendations of the Telomere Research Network (TRN) for best practices of the measurement of telomere length in population-based studies. These recommendations are offered as initial guidelines for researchers, reviewers, and scientific research officers, and are considered minimal reporting guidelines for PCR-based measurement of telomere length.","abbreviation":"MIPTL","support_links":[{"url":"https://trn.tulane.edu/contact-us/","name":"Contact the TRN","type":"Contact form"}],"year_creation":2020},"legacy_ids":["bsg-001515","bsg-s001515"],"name":"FAIRsharing record for: Minimum Information for Publication of PCR-based Telomere Length Measurement","abbreviation":"MIPTL","url":"https://fairsharing.org/fairsharing_records/1421","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information for Publication of PCR-based Telomere Length Measurement (MIPTL) was developed to reflect the current recommendations of the Telomere Research Network (TRN) for best practices of the measurement of telomere length in population-based studies. These recommendations are offered as initial guidelines for researchers, reviewers, and scientific research officers, and are considered minimal reporting guidelines for PCR-based measurement of telomere length.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Molecular biology","Population Genetics"],"domains":["Real time polymerase chain reaction","Chromosome","Aging","Chromosomal region","Polymerase Chain Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":["telomere","telomere length"],"countries":["United States"],"publications":[{"id":3037,"pubmed_id":null,"title":"Telomere length measurement by qPCR – Summary of critical factors and recommendations for assay design","year":2019,"url":"http://doi.org/10.1016/j.psyneuen.2018.10.005","authors":"Jue Lin, Dana L. Smith, Kyle Esteves, Stacy Drury","journal":"Psychoneuroendocrinology","doi":"10.1016/j.psyneuen.2018.10.005","created_at":"2021-09-30T08:28:14.299Z","updated_at":"2021-09-30T08:28:14.299Z"}],"licence_links":[],"grants":[{"id":7437,"fairsharing_record_id":1421,"organisation_id":2729,"relation":"maintains","created_at":"2021-09-30T09:28:37.730Z","updated_at":"2021-09-30T09:28:37.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":2729,"name":"Telomere Research Network","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7438,"fairsharing_record_id":1421,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:37.766Z","updated_at":"2021-09-30T09:31:04.276Z","grant_id":1002,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U24AG066528","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1422","type":"fairsharing_records","attributes":{"created_at":"2021-01-19T07:45:28.000Z","updated_at":"2023-09-14T15:12:45.515Z","metadata":{"doi":"10.25504/FAIRsharing.USxx0K","name":"Ontology for Nutritional epidemiology","status":"ready","contacts":[{"contact_name":"Carl Lachat","contact_email":"carl.lachat@ugent.be","contact_orcid":"0000-0002-1389-8855"},{"contact_name":"Chen Yang","contact_email":"chenyangnutrition@gmail.com","contact_orcid":"0000-0001-9202-5309"}],"homepage":"https://github.com/cyang0128/Nutritional-epidemiologic-ontologies","citations":[{"doi":"E1300","pubmed_id":31181762,"publication_id":40}],"identifier":1422,"description":"The ontology for nutritional epidemiology (ONE) describes nutritional epidemiologic studies, and was created to improve on how generic ontologies for food science, nutrition science or medical science covered the specific characteristics of nutritional epidemiologic studies.","abbreviation":"ONE","support_links":[{"url":"https://github.com/cyang0128/Nutritional-Epidemiologic-ontologies","name":"Nutritional epidemiologic ontologies on GitHub","type":"Github"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONE","name":"ONE","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/one.html","name":"ONE","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001581","bsg-s001581"],"name":"FAIRsharing record for: Ontology for Nutritional epidemiology","abbreviation":"ONE","url":"https://fairsharing.org/10.25504/FAIRsharing.USxx0K","doi":"10.25504/FAIRsharing.USxx0K","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology for nutritional epidemiology (ONE) describes nutritional epidemiologic studies, and was created to improve on how generic ontologies for food science, nutrition science or medical science covered the specific characteristics of nutritional epidemiologic studies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17330},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14552}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Nutritional Science","Metabolomics","Epidemiology"],"domains":["Diet"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":40,"pubmed_id":31181762,"title":"An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.","year":2019,"url":"https://www.mdpi.com/2072-6643/11/6/1300","authors":"Yang C,Ambayo H,Baets B,Kolsteren P,Thanintorn N,Hawwash D,Bouwman J,Bronselaer A,Pattyn F,Lachat C","journal":"Nutrients","doi":"E1300","created_at":"2021-09-30T08:22:24.772Z","updated_at":"2021-09-30T08:22:24.772Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1530,"relation":"undefined"}],"grants":[{"id":7439,"fairsharing_record_id":1422,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:28:37.789Z","updated_at":"2021-09-30T09:29:16.769Z","grant_id":173,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"G0D4815N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9149,"fairsharing_record_id":1422,"organisation_id":1152,"relation":"maintains","created_at":"2022-04-11T12:07:17.698Z","updated_at":"2022-04-11T12:07:17.698Z","grant_id":null,"is_lead":true,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1423","type":"fairsharing_records","attributes":{"created_at":"2020-10-30T14:52:28.000Z","updated_at":"2022-07-20T10:14:59.265Z","metadata":{"doi":"10.25504/FAIRsharing.a46a7c","name":"FAIR Genomes Semantic Model","status":"ready","contacts":[{"contact_name":"Morris Swertz","contact_email":"m.a.swertz@gmail.com","contact_orcid":"0000-0002-0979-3401"}],"homepage":"https://fairgenomes.org/","citations":[],"identifier":1423,"description":"FAIR Genomes aims to enable next-generation sequencing (NGS) data reuse by developing metadata standards for the data descriptions needed to FAIRify genomic data while also addressing ELSI issues. The FAIR Genomes schema reuses common ontologies such as NCIT, DUO, and EDAM (only introducing new terms when necessary). The metadata schema is represented in a YAML format that can be transformed into templates for data entry software (EDC) and programmatic interfaces (JSON, RDF) to ease genomic data sharing in research and healthcare.\n\nThe FAIR Genomes application ontology TTL files can be converted to other RDF serialization formats including OWL-XML, RDF-XML, RDF-JSON, JSON-LD, N-Triples, TriG, TriX, Thrift, Manchester syntax and Functional syntax using Ontology Converter.","abbreviation":"FAIR Genomes","support_links":[{"url":"https://github.com/fairgenomes","name":"FAIR Genomes on GitHub","type":"Github"},{"url":"https://github.com/fairgenomes/fairgenomes-semantic-model","name":"FAIR Genomes Semantic Model","type":"Github"},{"url":"https://github.com/fairgenomes/fairgenomes-semantic-model/blob/main/generated/markdown/fairgenomes-semantic-model.md","name":"FAIR Genomes metadata schema","type":"Github"},{"url":"https://fairgenomes-acc.gcc.rug.nl/","name":"semantic metadata scheme using MOLGENIS demo","type":"Training documentation"},{"url":"https://github.com/fairgenomes/fairgenomes-semantic-model/blob/v1.1/generated/palga-codebook","name":"ART-DECOR Codebooks","type":"Help documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://github.com/molgenis/molgenis-emx2","name":"MOLGENIS EMX2 Software"},{"url":"https://decor.nictiz.nl/art-decor/home","name":" Advanced Requirements Tooling (ART-DECOR)"},{"url":"https://github.com/sszuev/ont-converter/releases/tag/v1.0","name":"Ontology Converter"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FG","name":"FAIR Genomes","portal":"BioPortal"}]},"legacy_ids":["bsg-001533","bsg-s001533"],"name":"FAIRsharing record for: FAIR Genomes Semantic Model","abbreviation":"FAIR Genomes","url":"https://fairsharing.org/10.25504/FAIRsharing.a46a7c","doi":"10.25504/FAIRsharing.a46a7c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FAIR Genomes aims to enable next-generation sequencing (NGS) data reuse by developing metadata standards for the data descriptions needed to FAIRify genomic data while also addressing ELSI issues. The FAIR Genomes schema reuses common ontologies such as NCIT, DUO, and EDAM (only introducing new terms when necessary). The metadata schema is represented in a YAML format that can be transformed into templates for data entry software (EDC) and programmatic interfaces (JSON, RDF) to ease genomic data sharing in research and healthcare.\n\nThe FAIR Genomes application ontology TTL files can be converted to other RDF serialization formats including OWL-XML, RDF-XML, RDF-JSON, JSON-LD, N-Triples, TriG, TriX, Thrift, Manchester syntax and Functional syntax using Ontology Converter.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Genomics","Health Science","Biomedical Science","Pathology"],"domains":["FAIR"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":3327,"pubmed_id":null,"title":"FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research","year":2022,"url":"http://dx.doi.org/10.1038/s41597-022-01265-x","authors":"van der Velde, K. Joeri; Singh, Gurnoor; Kaliyaperumal, Rajaram; Liao, XiaoFeng; de Ridder, Sander; Rebers, Susanne; Kerstens, Hindrik H. D.; de Andrade, Fernanda; van Reeuwijk, Jeroen; De Gruyter, Fini E.; Hiltemann, Saskia; Ligtvoet, Maarten; Weiss, Marjan M.; van Deutekom, Hanneke W. M.; Jansen, Anne M. L.; Stubbs, Andrew P.; Vissers, Lisenka E. L. M.; Laros, Jeroen F. J.; van Enckevort, Esther; Stemkens, Daphne; ‘t Hoen, Peter A. C.; Beliën, Jeroen A. M.; van Gijn, Mariëlle E.; Swertz, Morris A.; ","journal":"Sci Data","doi":"10.1038/s41597-022-01265-x","created_at":"2022-04-19T14:18:32.457Z","updated_at":"2022-04-19T14:18:32.457Z"},{"id":3328,"pubmed_id":null,"title":"fairgenomes/fairgenomes-semantic-model: Version 1.2","year":2022,"url":"https://doi.org/10.5281/zenodo.6303508","authors":"K. Joeri van der Velde; Rajaram; Fleur Kelpin; Morris Swertz","journal":"Zenodo","doi":"10.5281/zenodo.6303508","created_at":"2022-04-19T14:38:53.037Z","updated_at":"2022-04-19T14:38:53.037Z"}],"licence_links":[],"grants":[{"id":9453,"fairsharing_record_id":1423,"organisation_id":3003,"relation":"maintains","created_at":"2022-04-20T10:56:14.720Z","updated_at":"2022-04-20T10:56:14.720Z","grant_id":null,"is_lead":true,"saved_state":{"id":3003,"name":"University Medical Center Groningen","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1410","type":"fairsharing_records","attributes":{"created_at":"2020-06-18T13:32:36.000Z","updated_at":"2024-03-25T20:52:09.580Z","metadata":{"doi":"10.25504/FAIRsharing.3be57c","name":"UK Electronic Theses and Dissertations Metadata Schema","status":"ready","contacts":[{"contact_name":"EThOS Helpdesk","contact_email":"ethos-help@bl.uk"}],"homepage":"https://github.com/uol-library/uketd_dc","citations":[],"identifier":1410,"description":"The Electronic Theses Online Service UKETD_DC Schema (EThOS UKETD_DC) is built on the application profiile of the same name that describes the core set of metadata for UK theses. It was developed to enable all theses to be described in a clear and consistent way, allowing users to find the theses they seek and institutions to share the data between repositories where required. Although this resource is available at the stated homepage, the homepage seems to be a third-party site hosting it because its original homepage is no longer available. Please get in touch if you have any information about this resource.","abbreviation":"EThOS UKETD_DC","support_links":[{"url":"https://twitter.com/EThOSBL","name":"EThOSBL","type":"Twitter"}],"year_creation":2017},"legacy_ids":["bsg-001489","bsg-s001489"],"name":"FAIRsharing record for: UK Electronic Theses and Dissertations Metadata Schema","abbreviation":"EThOS UKETD_DC","url":"https://fairsharing.org/10.25504/FAIRsharing.3be57c","doi":"10.25504/FAIRsharing.3be57c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Electronic Theses Online Service UKETD_DC Schema (EThOS UKETD_DC) is built on the application profiile of the same name that describes the core set of metadata for UK theses. It was developed to enable all theses to be described in a clear and consistent way, allowing users to find the theses they seek and institutions to share the data between repositories where required. Although this resource is available at the stated homepage, the homepage seems to be a third-party site hosting it because its original homepage is no longer available. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management"],"domains":["Citation","Bibliography","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":8922,"fairsharing_record_id":1410,"organisation_id":3412,"relation":"maintains","created_at":"2022-03-04T16:28:52.066Z","updated_at":"2024-03-25T20:45:54.389Z","grant_id":null,"is_lead":true,"saved_state":{"id":3412,"name":"The British Library","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1411","type":"fairsharing_records","attributes":{"created_at":"2021-06-24T09:19:33.000Z","updated_at":"2021-12-02T11:46:32.964Z","metadata":{"name":"Simple Standard for Sharing Ontology Mappings","status":"in_development","contacts":[{"contact_name":"Nicolas Matentzoglu","contact_email":"nicolas.matentzoglu@gmail.com","contact_orcid":"0000-0002-7356-1779"},{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":"0000-0002-6601-2165"},{"contact_name":"Nomi Harris","contact_email":"nlharris@lbl.gov","contact_orcid":"0000-0001-6315-3707"}],"homepage":"http://w3id.org/sssom/SSSOM.md","citations":[],"identifier":1411,"description":"Term mappings are of fundamental importance to interoperability, yet often lack metadata to be correctly interpreted and applied in contexts such as data integration or transformation. For example, are two terms equivalent or merely associated? Are they narrow or broad matches? etc. Such relationships between the mapped terms often remain unclear, which makes them very hard to use in scenarios that require a high degree of precision (such as diagnostics or risk prediction). Furthermore, the lack of metadata on the methods and rules involved in producing the mappings and confidence estimations regarding their correctness makes it hard to combine and reconcile mappings, especially curated and automated ones. Working as part of a collaborative group, we have developed a Simple Standard for Sharing Ontology Mappings (SSSOM) which addresses these problems by introducing a simple vocabulary for mapping metadata and defining an easy to use table-based format that can be integrated into regular data science pipelines without the need to parse or query ontologies defining a set of exports formats such as RDF/XML and JSON-LD and SQL tables. SSSOM is defined using a LinkML schema (https://linkml.github.io), and defines metadata for many key features of term mappings and mapping sets, such as mapping confidence, versioning, mapping tools and match types (lexical, logical, human-curated). The working draft of the SSSOM specification can be found at http://w3id.org/sssom/SSSOM.md. An associated toolkit is being developed at https://github.com/mapping-commons/sssom-py.","abbreviation":"SSSOM","year_creation":2020,"associated_tools":[{"url":"https://github.com/mapping-commons/sssom-py","name":"sssom-py alpha"}]},"legacy_ids":["bsg-001618","bsg-s001618"],"name":"FAIRsharing record for: Simple Standard for Sharing Ontology Mappings","abbreviation":"SSSOM","url":"https://fairsharing.org/fairsharing_records/1411","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Term mappings are of fundamental importance to interoperability, yet often lack metadata to be correctly interpreted and applied in contexts such as data integration or transformation. For example, are two terms equivalent or merely associated? Are they narrow or broad matches? etc. Such relationships between the mapped terms often remain unclear, which makes them very hard to use in scenarios that require a high degree of precision (such as diagnostics or risk prediction). Furthermore, the lack of metadata on the methods and rules involved in producing the mappings and confidence estimations regarding their correctness makes it hard to combine and reconcile mappings, especially curated and automated ones. Working as part of a collaborative group, we have developed a Simple Standard for Sharing Ontology Mappings (SSSOM) which addresses these problems by introducing a simple vocabulary for mapping metadata and defining an easy to use table-based format that can be integrated into regular data science pipelines without the need to parse or query ontologies defining a set of exports formats such as RDF/XML and JSON-LD and SQL tables. SSSOM is defined using a LinkML schema (https://linkml.github.io), and defines metadata for many key features of term mappings and mapping sets, such as mapping confidence, versioning, mapping tools and match types (lexical, logical, human-curated). The working draft of the SSSOM specification can be found at http://w3id.org/sssom/SSSOM.md. An associated toolkit is being developed at https://github.com/mapping-commons/sssom-py.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":["Data identity and mapping"],"taxonomies":["Not applicable"],"user_defined_tags":["ontology mapping"],"countries":["Greece","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7402,"fairsharing_record_id":1411,"organisation_id":2542,"relation":"maintains","created_at":"2021-09-30T09:28:36.568Z","updated_at":"2021-09-30T09:28:36.568Z","grant_id":null,"is_lead":false,"saved_state":{"id":2542,"name":"Semanticly Ltd","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7404,"fairsharing_record_id":1411,"organisation_id":529,"relation":"undefined","created_at":"2021-09-30T09:28:36.650Z","updated_at":"2021-09-30T09:28:36.650Z","grant_id":null,"is_lead":false,"saved_state":{"id":529,"name":"City, University of London","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":7403,"fairsharing_record_id":1411,"organisation_id":2271,"relation":"funds","created_at":"2021-09-30T09:28:36.606Z","updated_at":"2021-09-30T09:29:19.036Z","grant_id":192,"is_lead":false,"saved_state":{"id":2271,"name":"Oregon State University, Corvallis, OR, United States","grant":"1RM1HG010860-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7401,"fairsharing_record_id":1411,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:36.526Z","updated_at":"2021-09-30T09:28:36.526Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7405,"fairsharing_record_id":1411,"organisation_id":2625,"relation":"undefined","created_at":"2021-09-30T09:28:36.670Z","updated_at":"2021-09-30T09:28:36.670Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":7406,"fairsharing_record_id":1411,"organisation_id":2804,"relation":"maintains","created_at":"2021-09-30T09:28:36.701Z","updated_at":"2021-09-30T09:28:36.701Z","grant_id":null,"is_lead":true,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7407,"fairsharing_record_id":1411,"organisation_id":202,"relation":"maintains","created_at":"2021-09-30T09:28:36.739Z","updated_at":"2021-09-30T09:28:36.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":202,"name":"Berkeley BOP (BBOP), Lawrence Berkeley National Labs (LBNL), Berkeley, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1412","type":"fairsharing_records","attributes":{"created_at":"2020-07-21T07:46:22.000Z","updated_at":"2021-11-24T13:16:35.068Z","metadata":{"doi":"10.25504/FAIRsharing.68b03f","name":"Standard for the Exchange of Earthquake Data","status":"ready","contacts":[{"contact_name":"Tim Ahern","contact_email":"tim@iris.washington.edu"}],"homepage":"http://www.fdsn.org/pdf/SEEDManual_V2.4.pdf","identifier":1412,"description":"The Standard for the Exchange of Earthquake Data (SEED) is a data format intended primarily for the archival and exchange of seismological time series data and related metadata. The format is maintained by the International Federation of Digital Seismograph Networks (FDSN). Originally designed in the late 1980s, the format has been enhanced and refined a number of times and remains in widespread use.","abbreviation":"SEED","support_links":[{"url":"https://ds.iris.edu/ds/nodes/dmc/data/formats/seed/","name":"Incorporated Research Institutions for Seismology (IRIS) Documentation","type":"Help documentation"}],"year_creation":1980},"legacy_ids":["bsg-001513","bsg-s001513"],"name":"FAIRsharing record for: Standard for the Exchange of Earthquake Data","abbreviation":"SEED","url":"https://fairsharing.org/10.25504/FAIRsharing.68b03f","doi":"10.25504/FAIRsharing.68b03f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Standard for the Exchange of Earthquake Data (SEED) is a data format intended primarily for the archival and exchange of seismological time series data and related metadata. The format is maintained by the International Federation of Digital Seismograph Networks (FDSN). Originally designed in the late 1980s, the format has been enhanced and refined a number of times and remains in widespread use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Earthquake","Seismology"],"countries":["Netherlands","United States"],"publications":[],"licence_links":[],"grants":[{"id":7408,"fairsharing_record_id":1412,"organisation_id":1488,"relation":"maintains","created_at":"2021-09-30T09:28:36.772Z","updated_at":"2021-09-30T09:28:36.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":1488,"name":"International Federation of Digital Seismograph Networks (FDSN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1413","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:57:15.000Z","updated_at":"2021-11-24T13:19:50.236Z","metadata":{"doi":"10.25504/FAIRsharing.TS3gpY","name":"CodeMeta","status":"ready","homepage":"https://codemeta.github.io/","identifier":1413,"description":"CodeMeta contributors are creating a minimal metadata schema for science software and code, in JSON and XML. The goal of CodeMeta is to create a concept vocabulary that can be used to standardize the exchange of software metadata across repositories and organizations.","abbreviation":"CodeMeta","year_creation":2016},"legacy_ids":["bsg-001494","bsg-s001494"],"name":"FAIRsharing record for: CodeMeta","abbreviation":"CodeMeta","url":"https://fairsharing.org/10.25504/FAIRsharing.TS3gpY","doi":"10.25504/FAIRsharing.TS3gpY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CodeMeta contributors are creating a minimal metadata schema for science software and code, in JSON and XML. The goal of CodeMeta is to create a concept vocabulary that can be used to standardize the exchange of software metadata across repositories and organizations.","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13321}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Software Engineering"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[{"id":2990,"pubmed_id":null,"title":"CodeMeta: an exchange schema for software metadata. Version 2.0","year":2017,"url":"http://doi.org/10.5063/schema/codemeta-2.0","authors":"Matthew B. Jones, Carl Boettiger, Abby Cabunoc Mayes, Arfon Smith, Peter Slaughter, Kyle Niemeyer, Yolanda Gil, Martin Fenner, Krzysztof Nowak, Mark Hahnel, Luke Coy, Alice Allen, Mercè Crosas, et. al","journal":"KNB Data Repository","doi":"10.5063/schema/codemeta-2.0","created_at":"2021-09-30T08:28:08.624Z","updated_at":"2021-09-30T08:28:08.624Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1376,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1406","type":"fairsharing_records","attributes":{"created_at":"2020-06-25T15:21:04.000Z","updated_at":"2022-07-20T12:51:04.504Z","metadata":{"doi":"10.25504/FAIRsharing.oaxyMK","name":"Cochrane Patient/Population/Problem Intervention Comparison Outcome Ontology","status":"ready","contacts":[{"contact_name":"Chris Mavergames","contact_email":"cmavergames@cochrane.org"}],"homepage":"https://data.cochrane.org/ontologies/pico/index-en.html","identifier":1406,"description":"The PICO ontology provides a model for describing evidence in a consistent way focusing on complex populations, detailed interventions and their comparisons as well as the outcomes considered. The PICO ontology was originally designed to model the questions asked and answered in Cochrane's systematic reviews. The PICO model can be used to describe healthcare evidence as well as used in other evidence-based domains. It aims to provide a model for describing evidence in a consistent way.","abbreviation":"PICO","support_links":[{"url":"https://data.cochrane.org/ontologies/","name":"About the Cochrane Ontologies","type":"Help documentation"},{"url":"https://linkeddata.cochrane.org/pico-ontology","name":"About PICO","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001501","bsg-s001501"],"name":"FAIRsharing record for: Cochrane Patient/Population/Problem Intervention Comparison Outcome Ontology","abbreviation":"PICO","url":"https://fairsharing.org/10.25504/FAIRsharing.oaxyMK","doi":"10.25504/FAIRsharing.oaxyMK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PICO ontology provides a model for describing evidence in a consistent way focusing on complex populations, detailed interventions and their comparisons as well as the outcomes considered. The PICO ontology was originally designed to model the questions asked and answered in Cochrane's systematic reviews. The PICO model can be used to describe healthcare evidence as well as used in other evidence-based domains. It aims to provide a model for describing evidence in a consistent way.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17348}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Clinical Studies","Health Science","Medical Informatics"],"domains":["Evidence"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1975,"relation":"undefined"}],"grants":[{"id":7392,"fairsharing_record_id":1406,"organisation_id":544,"relation":"maintains","created_at":"2021-09-30T09:28:36.076Z","updated_at":"2021-09-30T09:28:36.076Z","grant_id":null,"is_lead":true,"saved_state":{"id":544,"name":"Cochrane, London, United Kingdom","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1407","type":"fairsharing_records","attributes":{"created_at":"2020-07-06T13:10:43.000Z","updated_at":"2022-07-20T12:24:59.435Z","metadata":{"doi":"10.25504/FAIRsharing.rkRb4s","name":"Citation Style Language XML Schema","status":"ready","homepage":"https://docs.citationstyles.org/en/stable/specification.html","identifier":1407,"description":"The Citation Style Language (CSL) is an XML-based format to describe the formatting of citations, notes and bibliographies, offering: an open format, compact styles, support for style requirements, automatic style localization, infrastructure for style distribution and updating, and many freely available styles.","abbreviation":"CSL Schema","support_links":[{"url":"https://citationstyles.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"https://docs.citationstyles.org/en/stable/primer.html","name":"CSL Schema Primer","type":"Help documentation"},{"url":"https://github.com/citation-style-language/schema","name":"GitHub Project","type":"Github"},{"url":"https://citationstyles.org/developers/","name":"CSL Schema (for Developers)","type":"Help documentation"},{"url":"https://citationstyles.org/about/","name":"About","type":"Help documentation"},{"url":"https://twitter.com/csl_styles","name":"@csl_styles","type":"Twitter"}],"year_creation":2009},"legacy_ids":["bsg-001506","bsg-s001506"],"name":"FAIRsharing record for: Citation Style Language XML Schema","abbreviation":"CSL Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.rkRb4s","doi":"10.25504/FAIRsharing.rkRb4s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citation Style Language (CSL) is an XML-based format to describe the formatting of citations, notes and bibliographies, offering: an open format, compact styles, support for style requirements, automatic style localization, infrastructure for style distribution and updating, and many freely available styles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1994,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1993,"relation":"undefined"}],"grants":[{"id":7393,"fairsharing_record_id":1407,"organisation_id":2616,"relation":"funds","created_at":"2021-09-30T09:28:36.118Z","updated_at":"2021-09-30T09:28:36.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2616,"name":"Springer Nature","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7394,"fairsharing_record_id":1407,"organisation_id":1817,"relation":"funds","created_at":"2021-09-30T09:28:36.159Z","updated_at":"2021-09-30T09:28:36.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1817,"name":"Mendeley, London, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7395,"fairsharing_record_id":1407,"organisation_id":524,"relation":"maintains","created_at":"2021-09-30T09:28:36.197Z","updated_at":"2021-09-30T09:28:36.197Z","grant_id":null,"is_lead":true,"saved_state":{"id":524,"name":"Citation Style Language Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7396,"fairsharing_record_id":1407,"organisation_id":850,"relation":"funds","created_at":"2021-09-30T09:28:36.230Z","updated_at":"2021-09-30T09:28:36.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7397,"fairsharing_record_id":1407,"organisation_id":2413,"relation":"funds","created_at":"2021-09-30T09:28:36.318Z","updated_at":"2021-09-30T09:28:36.318Z","grant_id":null,"is_lead":false,"saved_state":{"id":2413,"name":"RefWorks, ProQuest LLC.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1408","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:51:50.000Z","updated_at":"2021-11-24T13:16:34.998Z","metadata":{"doi":"10.25504/FAIRsharing.9fN9gy","name":"ASCII File Format Guidelines for Earth Science Data","status":"ready","homepage":"https://earthdata.nasa.gov/esdis/eso/standards-and-references/ascii-file-format-guidelines-for-earth-science-data","identifier":1408,"description":"The ASCII File Format Guidelines for Earth Science Data recommend practices for formatting and describing ASCII encoded data files, such that the files will be self-describing and adhere to common conventions. These guidelines address a number of common-sense practices that can make data files encoded in ASCII more widely useful.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001493","bsg-s001493"],"name":"FAIRsharing record for: ASCII File Format Guidelines for Earth Science Data","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9fN9gy","doi":"10.25504/FAIRsharing.9fN9gy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ASCII File Format Guidelines for Earth Science Data recommend practices for formatting and describing ASCII encoded data files, such that the files will be self-describing and adhere to common conventions. These guidelines address a number of common-sense practices that can make data files encoded in ASCII more widely useful.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1346,"relation":"undefined"}],"grants":[{"id":7398,"fairsharing_record_id":1408,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:36.360Z","updated_at":"2021-09-30T09:28:36.360Z","grant_id":null,"is_lead":true,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1409","type":"fairsharing_records","attributes":{"created_at":"2020-07-17T22:20:35.000Z","updated_at":"2022-07-20T12:26:18.218Z","metadata":{"doi":"10.25504/FAIRsharing.tXtp2S","name":"Extended Knowledge Organization System","status":"ready","contacts":[{"contact_name":"DDI RDF Google Group","contact_email":"ddi-rdf-vocabulary@googlegroups.com"}],"homepage":"https://ddialliance.org/Specification/RDF/XKOS","identifier":1409,"description":"Extended Knowledge Organization System (XKOS) extends the Simple Knowledge Organization System (SKOS) for statistical classifications. It does so in two main directions. First, it defines a number of terms that enable the representation of statistical classifications with their structure and textual properties, as well as the relations between classifications. Second, it refines SKOS semantic properties to allow the use of more specific relations between concepts. Those specific relations can be used for the representation of classifications or for any other case where SKOS is employed. XKOS adds the extensions that are desirable to meet the requirements of the statistical community.","abbreviation":"XKOS","support_links":[{"url":"https://ddialliance.org/about/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://github.com/linked-statistics/xkos/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://ddialliance.org/about/about-the-alliance","name":"About","type":"Help documentation"},{"url":"https://github.com/linked-statistics/xkos","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"}],"year_creation":2019},"legacy_ids":["bsg-001502","bsg-s001502"],"name":"FAIRsharing record for: Extended Knowledge Organization System","abbreviation":"XKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.tXtp2S","doi":"10.25504/FAIRsharing.tXtp2S","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Extended Knowledge Organization System (XKOS) extends the Simple Knowledge Organization System (SKOS) for statistical classifications. It does so in two main directions. First, it defines a number of terms that enable the representation of statistical classifications with their structure and textual properties, as well as the relations between classifications. Second, it refines SKOS semantic properties to allow the use of more specific relations between concepts. Those specific relations can be used for the representation of classifications or for any other case where SKOS is employed. XKOS adds the extensions that are desirable to meet the requirements of the statistical community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Resource collection","Data model","Classification","Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3012,"pubmed_id":null,"title":"eXtended Knowledge Organization System (XKOS)","year":2013,"url":"http://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.40/2013/WP10.pdf","authors":"Dan Gillman, Franck Cotton, and Yves Jaques","journal":"European Commission Statistical Office of the European Union (EUROSTAT), Organisation for Economic Cooperation and Development (OECD) Statistics Directorate, Work Session on Statistical Metadata","doi":null,"created_at":"2021-09-30T08:28:11.333Z","updated_at":"2021-09-30T08:28:11.333Z"},{"id":3013,"pubmed_id":null,"title":"XKOS: An SKOS Extension for Statistical Classifications","year":2013,"url":"https://ddialliance.org/sites/default/files/CPS_XKOS_thomas-1.pdf","authors":"Frank Cotton, Richard Cyganiak, R.T.A.M. Grim, Daniel W. Gillman, Yves Jaques, and Wendy Thomas","journal":"Proceedings of the 59th World Statistics Congress of the International Statistical Institute","doi":null,"created_at":"2021-09-30T08:28:11.450Z","updated_at":"2021-09-30T08:28:11.450Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2051,"relation":"undefined"}],"grants":[{"id":7399,"fairsharing_record_id":1409,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:28:36.401Z","updated_at":"2021-09-30T09:28:36.401Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1417","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:28.359Z","metadata":{"doi":"10.25504/FAIRsharing.6xq0ee","name":"Gene Ontology","status":"ready","contacts":[{"contact_name":"Suzi Aleksander","contact_email":"suzia@stanford.edu","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://www.geneontology.org","citations":[{"doi":"10.1038/75556","pubmed_id":10802651,"publication_id":2552},{"doi":"10.1093/nar/gkaa1113","pubmed_id":null,"publication_id":3351}],"identifier":1417,"description":"The Gene Ontology (GO) is a structured vocabulary for use by the research community for the annotation of genes, gene products and sequences. The GO defines concepts/classes used to describe gene function and relationships between these concepts.","abbreviation":"GO","support_links":[{"url":"help@geneontology.org","name":"GO Helpdesk email","type":"Support email"},{"url":"http://geneontology.org/docs/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://help.geneontology.org","name":"Helpdesk","type":"Help documentation"},{"url":"https://mailman.stanford.edu/mailman/listinfo/go-friends","name":"GO friends mailing list","type":"Mailing list"},{"url":"https://mailman.stanford.edu/mailman/listinfo/go-discuss","name":"GO discussion mailing list","type":"Mailing list"},{"url":"http://geneontology.org/","name":"Gene Ontology Resource","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/go-quick-tour","name":"Go quick tour","type":"TeSS links to training materials"},{"url":"https://twitter.com/news4go","type":"Twitter"}],"year_creation":1998,"associated_tools":[{"url":"http://amigo.geneontology.org","name":"AmiGO 2.5.x"},{"url":"http://wiki.geneontology.org/index.php/Noctua","name":"Noctua"},{"url":"http://geneontology.org/go-cam","name":"GO-CAM"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GO","name":"GO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/go.html","name":"go","portal":"OBO Foundry"},{"url":"https://www.re3data.org/repository/r3d100014165","name":"re3data:r3d100014165","portal":"re3data"}]},"legacy_ids":["bsg-000089","bsg-s000089"],"name":"FAIRsharing record for: Gene Ontology","abbreviation":"GO","url":"https://fairsharing.org/10.25504/FAIRsharing.6xq0ee","doi":"10.25504/FAIRsharing.6xq0ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene Ontology (GO) is a structured vocabulary for use by the research community for the annotation of genes, gene products and sequences. The GO defines concepts/classes used to describe gene function and relationships between these concepts.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18244},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10874},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11046},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11155},{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11243},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11979},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12211},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12426},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16201},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16744}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Gene Ontology enrichment","Annotation","Sequence annotation","Gene functional annotation","Molecular function","Cellular component","Biological process","Data model","Protein","Transcript","Gene","Knowledge representation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"},{"id":1034,"pubmed_id":22102568,"title":"The Gene Ontology: enhancements for 2011.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1028","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1028","created_at":"2021-09-30T08:24:14.488Z","updated_at":"2021-09-30T11:28:57.193Z"},{"id":1085,"pubmed_id":19920128,"title":"The Gene Ontology in 2010: extensions and refinements.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1018","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1018","created_at":"2021-09-30T08:24:20.203Z","updated_at":"2021-09-30T11:28:58.186Z"},{"id":2013,"pubmed_id":25428369,"title":"Gene Ontology Consortium: going forward.","year":2014,"url":"http://doi.org/10.1093/nar/gku1179","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1179","created_at":"2021-09-30T08:26:06.796Z","updated_at":"2021-09-30T11:29:10.010Z"},{"id":2167,"pubmed_id":23161678,"title":"Gene Ontology annotations and resources.","year":2012,"url":"http://doi.org/10.1093/nar/gks1050","authors":"Blake JA,Dolan M,Drabkin H,Hill DP,Li N,Sitnikov D,Bridges S,Burgess S,Buza T,McCarthy F,Peddinti D,Pillai L,Carbon S,Dietze H,Ireland A,Lewis SE,Mungall CJ,Gaudet P,Chrisholm RL,Fey P,Kibbe WA,Basu S,Siegele DA,McIntosh BK,Renfro DP,Zweifel AE,Hu JC,Brown NH,Tweedie S,Alam-Faruque Y,Apweiler R,Auchinchloss A,Axelsen K,Bely B,Blatter M-,Bonilla C,Bouguerleret L,Boutet E,Breuza L,Bridge A,Chan WM,Chavali G,Coudert E,Dimmer E,Estreicher A,Famiglietti L,Feuermann M,Gos A,Gruaz-Gumowski N,Hieta R,Hinz C,Hulo C,Huntley R,James J,Jungo F,Keller G,Laiho K,Legge D,Lemercier P,Lieberherr D,Magrane M,Martin MJ,Masson P,Mutowo-Muellenet P,O'Donovan C,Pedruzzi I,Pichler K,Poggioli D,Porras Millan P,Poux S,Rivoire C,Roechert B,Sawford T,Schneider M,Stutz A,Sundaram S,Tognolli M,Xenarios I,Foulgar R,Lomax J,Roncaglia P,Khodiyar VK,Lovering RC,Talmud PJ,Chibucos M,Giglio MG,Chang H-,Hunter S,McAnulla C,Mitchell A,Sangrador A,Stephan R,Harris MA,Oliver SG,Rutherford K,Wood V,Bahler J,Lock A,Kersey PJ,McDowall DM,Staines DM,Dwinell M,Shimoyama M,Laulederkind S,Hayman T,Wang S-,Petri V,Lowry T,D'Eustachio P,Matthews L,Balakrishnan R,Binkley G,Cherry JM,Costanzo MC,Dwight SS,Engel SR,Fisk DG,Hitz BC,Hong EL,Karra K,Miyasato SR,Nash RS,Park J,Skrzypek MS,Weng S,Wong ED,Berardini TZ,Huala E,Mi H,Thomas PD,Chan J,Kishore R,Sternberg P,Van Auken K,Howe D,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1050","created_at":"2021-09-30T08:26:24.239Z","updated_at":"2021-09-30T11:29:30.513Z"},{"id":2552,"pubmed_id":10802651,"title":"Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.","year":2000,"url":"http://doi.org/10.1038/75556","authors":"Ashburner M,Ball CA,Blake JA,Botstein D,Butler H,Cherry JM,Davis AP,Dolinski K,Dwight SS,Eppig JT,Harris MA,Hill DP,Issel-Tarver L,Kasarskis A,Lewis S,Matese JC,Richardson JE,Ringwald M,Rubin GM,Sherlock G","journal":"Nat Genet","doi":"10.1038/75556","created_at":"2021-09-30T08:27:13.018Z","updated_at":"2021-09-30T08:27:13.018Z"},{"id":2564,"pubmed_id":14681407,"title":"The Gene Ontology (GO) database and informatics resource.","year":2003,"url":"http://doi.org/10.1093/nar/gkh036","authors":"Harris MA,Clark J,Ireland A,Lomax J,Ashburner M,Foulger R,Eilbeck K,Lewis S,Marshall B,Mungall C,Richter J,Rubin GM,Blake JA,Bult C,Dolan M,Drabkin H,Eppig JT,Hill DP,Ni L,Ringwald M,Balakrishnan R,Cherry JM,Christie KR,Costanzo MC, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh036","created_at":"2021-09-30T08:27:14.444Z","updated_at":"2021-09-30T11:29:39.413Z"},{"id":3078,"pubmed_id":23895341,"title":"Dovetailing biology and chemistry: integrating the Gene Ontology with the ChEBI chemical ontology.","year":2013,"url":"http://doi.org/10.1186/1471-2164-14-513","authors":"Hill DP,Adams N,Bada M,Batchelor C,Berardini TZ,Dietze H,Drabkin HJ,Ennis M,Foulger RE,Harris MA,Hastings J,Kale NS,de Matos P,Mungall CJ,Owen G,Roncaglia P,Steinbeck C,Turner S,Lomax J","journal":"BMC Genomics","doi":"10.1186/1471-2164-14-513","created_at":"2021-09-30T08:28:19.242Z","updated_at":"2021-09-30T08:28:19.242Z"},{"id":3351,"pubmed_id":null,"title":"The Gene Ontology resource: enriching a GOld mine","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa1113","authors":"undefined, undefined; Carbon, Seth; Douglass, Eric; Good, Benjamin M; Unni, Deepak R; Harris, Nomi L; Mungall, Christopher J; Basu, Siddartha; Chisholm, Rex L; Dodson, Robert J; Hartline, Eric; Fey, Petra; Thomas, Paul D; Albou, Laurent-Philippe; Ebert, Dustin; Kesling, Michael J; Mi, Huaiyu; Muruganujan, Anushya; Huang, Xiaosong; Mushayahama, Tremayne; LaBonte, Sandra A; Siegele, Deborah A; Antonazzo, Giulia; Attrill, Helen; Brown, Nick H; Garapati, Phani; Marygold, Steven J; Trovisco, Vitor; dos Santos, Gil; Falls, Kathleen; Tabone, Christopher; Zhou, Pinglei; Goodman, Joshua L; Strelets, Victor B; Thurmond, Jim; Garmiri, Penelope; Ishtiaq, Rizwan; Rodríguez-López, Milagros; Acencio, Marcio L; Kuiper, Martin; Lægreid, Astrid; Logie, Colin; Lovering, Ruth C; Kramarz, Barbara; Saverimuttu, Shirin C C; Pinheiro, Sandra M; Gunn, Heather; Su, Renzhi; Thurlow, Katherine E; Chibucos, Marcus; Giglio, Michelle; Nadendla, Suvarna; Munro, James; Jackson, Rebecca; Duesbury, Margaret J; Del-Toro, Noemi; Meldal, Birgit H M; Paneerselvam, Kalpana; Perfetto, Livia; Porras, Pablo; Orchard, Sandra; Shrivastava, Anjali; Chang, Hsin-Yu; Finn, Robert Daniel; Mitchell, Alexander Lawson; Rawlings, Neil David; Richardson, Lorna; Sangrador-Vegas, Amaia; Blake, Judith A; Christie, Karen R; Dolan, Mary E; Drabkin, Harold J; Hill, David P; Ni, Li; Sitnikov, Dmitry M; Harris, Midori A; Oliver, Stephen G; Rutherford, Kim; Wood, Valerie; Hayles, Jaqueline; Bähler, Jürg; Bolton, Elizabeth R; De Pons, Jeffery L; Dwinell, Melinda R; Hayman, G Thomas; Kaldunski, Mary L; Kwitek, Anne E; Laulederkind, Stanley J F; Plasterer, Cody; Tutaj, Marek A; Vedi, Mahima; Wang, Shur-Jen; D’Eustachio, Peter; Matthews, Lisa; Balhoff, James P; Aleksander, Suzi A; Alexander, Michael J; Cherry, J Michael; Engel, Stacia R; Gondwe, Felix; Karra, Kalpana; Miyasato, Stuart R; Nash, Robert S; Simison, Matt; Skrzypek, Marek S; Weng, Shuai; Wong, Edith D; Feuermann, Marc; Gaudet, Pascale; Morgat, Anne; Bakker, Erica; Berardini, Tanya Z; Reiser, Leonore; Subramaniam, Shabari; Huala, Eva; Arighi, Cecilia N; Auchincloss, Andrea; Axelsen, Kristian; Argoud-Puy, Ghislaine; Bateman, Alex; Blatter, Marie-Claude; Boutet, Emmanuel; Bowler, Emily; Breuza, Lionel; Bridge, Alan; Britto, Ramona; Bye-A-Jee, Hema; Casas, Cristina Casals; Coudert, Elisabeth; Denny, Paul; Estreicher, Anne; Famiglietti, Maria Livia; Georghiou, George; Gos, Arnaud; Gruaz-Gumowski, Nadine; Hatton-Ellis, Emma; Hulo, Chantal; Ignatchenko, Alexandr; Jungo, Florence; Laiho, Kati; Le Mercier, Philippe; Lieberherr, Damien; Lock, Antonia; Lussi, Yvonne; MacDougall, Alistair; Magrane, Michele; Martin, Maria J; Masson, Patrick; Natale, Darren A; Hyka-Nouspikel, Nevila; Orchard, Sandra; Pedruzzi, Ivo; Pourcel, Lucille; Poux, Sylvain; Pundir, Sangya; Rivoire, Catherine; Speretta, Elena; Sundaram, Shyamala; Tyagi, Nidhi; Warner, Kate; Zaru, Rossana; Wu, Cathy H; Diehl, Alexander D; Chan, Juancarlos N; Grove, Christian; Lee, Raymond Y N; Muller, Hans-Michael; Raciti, Daniela; Van Auken, Kimberly; Sternberg, Paul W; Berriman, Matthew; Paulini, Michael; Howe, Kevin; Gao, Sibyl; Wright, Adam; Stein, Lincoln; Howe, Douglas G; Toro, Sabrina; Westerfield, Monte; Jaiswal, Pankaj; Cooper, Laurel; Elser, Justin; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1113","created_at":"2022-05-09T07:49:44.330Z","updated_at":"2022-05-09T07:49:44.330Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2206,"relation":"undefined"}],"grants":[{"id":7431,"fairsharing_record_id":1417,"organisation_id":3125,"relation":"maintains","created_at":"2021-09-30T09:28:37.551Z","updated_at":"2021-09-30T09:28:37.551Z","grant_id":null,"is_lead":false,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7430,"fairsharing_record_id":1417,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:28:37.513Z","updated_at":"2021-09-30T09:28:37.513Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7432,"fairsharing_record_id":1417,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:37.587Z","updated_at":"2021-09-30T09:28:37.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7434,"fairsharing_record_id":1417,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:37.658Z","updated_at":"2021-09-30T09:29:48.618Z","grant_id":414,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"2U41HG002273-17","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8195,"fairsharing_record_id":1417,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:27.178Z","updated_at":"2021-09-30T09:31:27.259Z","grant_id":1175,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U41HG002273-14","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11546,"fairsharing_record_id":1417,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:13.856Z","updated_at":"2024-03-21T13:58:28.179Z","grant_id":37,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54-HG004028","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBY0k9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--17999ec75f811e894e6a645034077964b591019b/gologo.png?disposition=inline","exhaustive_licences":false}},{"id":"1424","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2024-05-09T14:40:16.175Z","metadata":{"doi":"10.25504/FAIRsharing.9j4wh2","name":"Chemical Methods Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"batchelorc@rsc.org"}],"homepage":"https://github.com/rsc-ontologies/rsc-cmo","citations":[],"identifier":1424,"description":"CHMO, the chemical methods ontology, describes methods used to collect data in chemical experiments, such as mass spectrometry and electron microscopy; prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis; and synthesise materials such as epitaxy and continuous vapour deposition. It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns. It is intended to be complementary to the Ontology for Biomedical Investigations (OBI).","abbreviation":"CHMO","support_links":[{"url":"https://github.com/rsc-ontologies/rsc-cmo/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHMO","name":"CHMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/chmo.html","name":"chmo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000994","bsg-s000994"],"name":"FAIRsharing record for: Chemical Methods Ontology","abbreviation":"CHMO","url":"https://fairsharing.org/10.25504/FAIRsharing.9j4wh2","doi":"10.25504/FAIRsharing.9j4wh2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CHMO, the chemical methods ontology, describes methods used to collect data in chemical experiments, such as mass spectrometry and electron microscopy; prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis; and synthesise materials such as epitaxy and continuous vapour deposition. It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns. It is intended to be complementary to the Ontology for Biomedical Investigations (OBI).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12120}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry"],"domains":["Chromatography","Electron microscopy","Assay","Mass spectrometry assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2190,"relation":"undefined"}],"grants":[{"id":7441,"fairsharing_record_id":1424,"organisation_id":2467,"relation":"maintains","created_at":"2021-09-30T09:28:37.840Z","updated_at":"2021-09-30T09:28:37.840Z","grant_id":null,"is_lead":true,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1425","type":"fairsharing_records","attributes":{"created_at":"2020-10-31T17:14:13.000Z","updated_at":"2024-03-26T17:11:39.454Z","metadata":{"doi":"10.25504/FAIRsharing.gB7jed","name":"Core Scientific Dataset Model","status":"ready","contacts":[{"contact_name":"Philip Grandinetti","contact_email":"grandinetti.1@osu.edu","contact_orcid":"0000-0003-0102-316X"}],"homepage":"https://csdmpy.readthedocs.io","citations":[{"doi":"10.1371/journal.pone.0225953","publication_id":3064}],"identifier":1425,"description":"The Core Scientific Dataset (CSD) model with JavaScript Object Notation (JSON) serialization is a lightweight, portable, and versatile standard for intra- and interdisciplinary scientific data exchange. It can also hold correlated datasets assuming the different physical quantities (dependent variables) are sampled on the same orthogonal grid of independent variables. The model encapsulates the dependent variables’ sampled data values and the minimum metadata needed to accurately represent this data in an appropriate coordinate system of independent variables. The CSD model can serve as a re-usable building block in the development of more sophisticated portable scientific dataset file standards.","abbreviation":"CSD Model","support_links":[{"url":"https://csdmpy.readthedocs.io/en/stable/CSD_model.html","name":"About the Model","type":"Help documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://csdmpy.readthedocs.io","name":"csdmpy python library"}]},"legacy_ids":["bsg-001537","bsg-s001537"],"name":"FAIRsharing record for: Core Scientific Dataset Model","abbreviation":"CSD Model","url":"https://fairsharing.org/10.25504/FAIRsharing.gB7jed","doi":"10.25504/FAIRsharing.gB7jed","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Core Scientific Dataset (CSD) model with JavaScript Object Notation (JSON) serialization is a lightweight, portable, and versatile standard for intra- and interdisciplinary scientific data exchange. It can also hold correlated datasets assuming the different physical quantities (dependent variables) are sampled on the same orthogonal grid of independent variables. The model encapsulates the dependent variables’ sampled data values and the minimum metadata needed to accurately represent this data in an appropriate coordinate system of independent variables. The CSD model can serve as a re-usable building block in the development of more sophisticated portable scientific dataset file standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Astrophysics and Astronomy","Earth Science","Materials Science","Physics","Biology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Denmark","France","United States"],"publications":[{"id":3064,"pubmed_id":null,"title":"Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data","year":2020,"url":"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0225953","authors":"Deepansh Srivastava, Thomas Vosegaard, Dominique Massiot, Philip J. Grandinetti","journal":"PLOS ONE","doi":"10.1371/journal.pone.0225953","created_at":"2021-09-30T08:28:17.576Z","updated_at":"2021-09-30T08:28:17.576Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2151,"relation":"undefined"}],"grants":[{"id":7442,"fairsharing_record_id":1425,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:37.865Z","updated_at":"2021-09-30T09:29:19.826Z","grant_id":198,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"Research Infrastructures Grant 731005","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7443,"fairsharing_record_id":1425,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:37.890Z","updated_at":"2021-09-30T09:30:46.574Z","grant_id":864,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DIBBS OAC 1640899","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7897,"fairsharing_record_id":1425,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:29:33.025Z","updated_at":"2021-09-30T09:29:33.130Z","grant_id":296,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"H2020 Future and Emerging Technologies Grant 731475","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11633,"fairsharing_record_id":1425,"organisation_id":2236,"relation":"maintains","created_at":"2024-03-26T15:08:19.189Z","updated_at":"2024-03-26T15:08:19.189Z","grant_id":null,"is_lead":true,"saved_state":{"id":2236,"name":"Ohio State University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1426","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-14T18:56:06.096Z","metadata":{"doi":"10.25504/FAIRsharing.6mck","name":"Children's Health Exposure Analysis Resource","status":"ready","contacts":[{"contact_name":"Deborah L. McGuinness","contact_email":"dlm@cs.rpi.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/CHEAR","citations":[],"identifier":1426,"description":"Children's health and wellbeing are influenced by interactions between environmental and genetic factors. NIEHS is establishing an infrastructure, the Children's Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and data analyses that add or expand the inclusion of environmental exposures in children's health research. The goal of CHEAR is to provide tools so researchers can assess the full range of environmental exposures which may affect children's health. We anticipate that CHEAR will be used by children's health researchers conducting epidemiological or clinical studies that currently have limited consideration of environmental exposures, or those who have collected exposure data but seek more extensive analyses.","abbreviation":"CHEAR","support_links":[{"url":"pinhep@rpi.edu","name":"Paulo Pinheiro","type":"Support email"},{"url":"mccusj2@rpi.edu","name":"James McCusker","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEAR","name":"CHEAR","portal":"BioPortal"}]},"legacy_ids":["bsg-000744","bsg-s000744"],"name":"FAIRsharing record for: Children's Health Exposure Analysis Resource","abbreviation":"CHEAR","url":"https://fairsharing.org/10.25504/FAIRsharing.6mck","doi":"10.25504/FAIRsharing.6mck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Children's health and wellbeing are influenced by interactions between environmental and genetic factors. NIEHS is establishing an infrastructure, the Children's Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and data analyses that add or expand the inclusion of environmental exposures in children's health research. The goal of CHEAR is to provide tools so researchers can assess the full range of environmental exposures which may affect children's health. We anticipate that CHEAR will be used by children's health researchers conducting epidemiological or clinical studies that currently have limited consideration of environmental exposures, or those who have collected exposure data but seek more extensive analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Health Science","Pediatrics"],"domains":["Exposure"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10416,"fairsharing_record_id":1426,"organisation_id":2421,"relation":"undefined","created_at":"2023-03-14T18:55:57.042Z","updated_at":"2023-03-14T18:55:57.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":2421,"name":"Rensselaer Polytechnic Institute","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1414","type":"fairsharing_records","attributes":{"created_at":"2020-06-07T09:12:47.000Z","updated_at":"2022-07-20T12:46:54.787Z","metadata":{"doi":"10.25504/FAIRsharing.zpCPN7","name":"Minimum Information about a Molecular Interaction Causal Statement","status":"ready","contacts":[{"contact_name":"Vasundra Touré","contact_email":"vasundra.toure@ntnu.no","contact_orcid":"0000-0003-4639-4431"}],"homepage":"https://github.com/MI2CAST/MI2CAST","identifier":1414,"description":"The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST) guidelines describe the minimum and necessary information to depict causal interactions in molecular biology, as well as contextual details. The aim is to homogenize their representation for better usability and understanding, by making the data “FAIR” (Findable, Accessible, Interoperable and Reproducible). This checklist considers terms used in different formats (e.g., PSI-MITAB2.8, BEL, GO-CAM) and covers the full range of metadata that should ideally be annotated during the curation process to enrich the description of a molecular causal interaction. Complying with these guidelines should be considered as good practice for the annotation of causal statements to generate high quality statements.","abbreviation":"MI2CAST","support_links":[{"url":"https://github.com/MI2CAST/MI2CAST/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2020,"associated_tools":[{"url":"https://mi2cast.github.io/causalBuilder/","name":"causalBuilder 1.0"}]},"legacy_ids":["bsg-001483","bsg-s001483"],"name":"FAIRsharing record for: Minimum Information about a Molecular Interaction Causal Statement","abbreviation":"MI2CAST","url":"https://fairsharing.org/10.25504/FAIRsharing.zpCPN7","doi":"10.25504/FAIRsharing.zpCPN7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST) guidelines describe the minimum and necessary information to depict causal interactions in molecular biology, as well as contextual details. The aim is to homogenize their representation for better usability and understanding, by making the data “FAIR” (Findable, Accessible, Interoperable and Reproducible). This checklist considers terms used in different formats (e.g., PSI-MITAB2.8, BEL, GO-CAM) and covers the full range of metadata that should ideally be annotated during the curation process to enrich the description of a molecular causal interaction. Complying with these guidelines should be considered as good practice for the annotation of causal statements to generate high quality statements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Systems Medicine","Systems Biology"],"domains":["Molecular entity","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":3004,"pubmed_id":null,"title":"The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST)","year":2020,"url":"https://doi.org/10.1093/bioinformatics/btaa622","authors":"Touré et al.","journal":"Bioinformatics","doi":null,"created_at":"2021-09-30T08:28:10.356Z","updated_at":"2021-09-30T08:28:10.356Z"}],"licence_links":[],"grants":[{"id":7410,"fairsharing_record_id":1414,"organisation_id":2980,"relation":"maintains","created_at":"2021-09-30T09:28:36.829Z","updated_at":"2021-09-30T09:28:36.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":2980,"name":"Universit d'Aix-Marseille, Marseille, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7414,"fairsharing_record_id":1414,"organisation_id":863,"relation":"maintains","created_at":"2021-09-30T09:28:36.928Z","updated_at":"2021-09-30T09:28:36.928Z","grant_id":null,"is_lead":false,"saved_state":{"id":863,"name":"Enveda Therapeutics","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7416,"fairsharing_record_id":1414,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:36.978Z","updated_at":"2021-09-30T09:28:36.978Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7419,"fairsharing_record_id":1414,"organisation_id":3062,"relation":"maintains","created_at":"2021-09-30T09:28:37.077Z","updated_at":"2021-09-30T09:28:37.077Z","grant_id":null,"is_lead":false,"saved_state":{"id":3062,"name":"University of Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7422,"fairsharing_record_id":1414,"organisation_id":3125,"relation":"maintains","created_at":"2021-09-30T09:28:37.191Z","updated_at":"2021-09-30T09:28:37.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7409,"fairsharing_record_id":1414,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:28:36.805Z","updated_at":"2021-09-30T09:28:36.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7411,"fairsharing_record_id":1414,"organisation_id":3026,"relation":"maintains","created_at":"2021-09-30T09:28:36.854Z","updated_at":"2021-09-30T09:28:36.854Z","grant_id":null,"is_lead":false,"saved_state":{"id":3026,"name":"University of Calabria","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7412,"fairsharing_record_id":1414,"organisation_id":679,"relation":"maintains","created_at":"2021-09-30T09:28:36.878Z","updated_at":"2021-09-30T09:28:36.878Z","grant_id":null,"is_lead":false,"saved_state":{"id":679,"name":"Department of Biology, University of Rome Tor Vergata, Rome, Italy","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7413,"fairsharing_record_id":1414,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:36.905Z","updated_at":"2021-09-30T09:28:36.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7415,"fairsharing_record_id":1414,"organisation_id":725,"relation":"maintains","created_at":"2021-09-30T09:28:36.955Z","updated_at":"2021-09-30T09:28:36.955Z","grant_id":null,"is_lead":false,"saved_state":{"id":725,"name":"Department of Medicine, University of California San Diego","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7418,"fairsharing_record_id":1414,"organisation_id":2200,"relation":"maintains","created_at":"2021-09-30T09:28:37.034Z","updated_at":"2021-09-30T09:28:37.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":2200,"name":"NTNU - Norwegian University of Science and Technology","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7420,"fairsharing_record_id":1414,"organisation_id":663,"relation":"maintains","created_at":"2021-09-30T09:28:37.115Z","updated_at":"2021-09-30T09:28:37.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":663,"name":"Departement de Biologie (IBENS), Ecole Normale Superieure, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7421,"fairsharing_record_id":1414,"organisation_id":202,"relation":"maintains","created_at":"2021-09-30T09:28:37.152Z","updated_at":"2021-09-30T09:28:37.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":202,"name":"Berkeley BOP (BBOP), Lawrence Berkeley National Labs (LBNL), Berkeley, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7423,"fairsharing_record_id":1414,"organisation_id":2477,"relation":"maintains","created_at":"2021-09-30T09:28:37.222Z","updated_at":"2021-09-30T09:28:37.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":2477,"name":"RWTH Aachen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9327,"fairsharing_record_id":1414,"organisation_id":403,"relation":"maintains","created_at":"2022-04-11T12:07:30.677Z","updated_at":"2022-04-11T12:07:30.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1415","type":"fairsharing_records","attributes":{"created_at":"2020-10-05T11:21:59.000Z","updated_at":"2022-07-20T12:48:01.185Z","metadata":{"doi":"10.25504/FAIRsharing.q47I0t","name":"CryoEM Ontology","status":"ready","contacts":[{"contact_name":"Carlos Oscar S. Sorzano","contact_email":"coss@cnb.csic.es","contact_orcid":"0000-0002-9473-283X"}],"homepage":"http://scipion.i2pc.es/ontology/cryoem","identifier":1415,"description":"The CryoEM Ontology for describing objects and workflows in Single Particle Analysis by Cryo Electron Microscopy.","abbreviation":"CryoEM Ontology","year_creation":2020,"associated_tools":[{"url":"http://scipion.i2pc.es","name":"Scipion 3"}]},"legacy_ids":["bsg-001477","bsg-s001477"],"name":"FAIRsharing record for: CryoEM Ontology","abbreviation":"CryoEM Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.q47I0t","doi":"10.25504/FAIRsharing.q47I0t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CryoEM Ontology for describing objects and workflows in Single Particle Analysis by Cryo Electron Microscopy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Structural Biology"],"domains":["Electron microscopy"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":845,"relation":"undefined"}],"grants":[{"id":7424,"fairsharing_record_id":1415,"organisation_id":2528,"relation":"maintains","created_at":"2021-09-30T09:28:37.250Z","updated_at":"2021-09-30T09:28:37.250Z","grant_id":null,"is_lead":true,"saved_state":{"id":2528,"name":"Scipion","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1416","type":"fairsharing_records","attributes":{"created_at":"2016-10-20T19:16:28.000Z","updated_at":"2022-07-20T09:59:56.447Z","metadata":{"doi":"10.25504/FAIRsharing.sbfp9e","name":"Minimum Information Required for A Glycomics Experiment - Glycan Microarray Analysis","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/mirage/guidelines#glycan_microarrays","citations":[],"identifier":1416,"description":"MIRAGE (Minimum Information Required for A Glycomics Experiment was created to improve the quality of glycomics data in the scientific literature. These guidelines were drafted to be intentionally minimal and apply only to information required for generating interpretable data from a glycan array experiment. We have identified 8 areas, numbered in the workflow shown below, that are required for generating an unambiguous glycan array in the first instance and obtaining binding data. For each numbered component of the workflow area we provide guidelines for the minimal information that should be provided in reporting results.","abbreviation":"MIRAGE Glycan Microarray Analysis","year_creation":2016},"legacy_ids":["bsg-000683","bsg-s000683"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Glycan Microarray Analysis","abbreviation":"MIRAGE Glycan Microarray Analysis","url":"https://fairsharing.org/10.25504/FAIRsharing.sbfp9e","doi":"10.25504/FAIRsharing.sbfp9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRAGE (Minimum Information Required for A Glycomics Experiment was created to improve the quality of glycomics data in the scientific literature. These guidelines were drafted to be intentionally minimal and apply only to information required for generating interpretable data from a glycan array experiment. We have identified 8 areas, numbered in the workflow shown below, that are required for generating an unambiguous glycan array in the first instance and obtaining binding data. For each numbered component of the workflow area we provide guidelines for the minimal information that should be provided in reporting results.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12073}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Glycomics"],"domains":["Microarray experiment"],"taxonomies":["All"],"user_defined_tags":["Glycan Microarray"],"countries":["Australia","Germany","United Kingdom","United States"],"publications":[{"id":682,"pubmed_id":24653214,"title":"MIRAGE: The minimum information required for a glycomics experiment","year":2014,"url":"http://doi.org/10.1093/glycob/cwu018","authors":"York WS, Agravat S, Aoki-Kinoshita KF et al.","journal":"Glycobiology","doi":"10.1093/glycob/cwu018","created_at":"2021-09-30T08:23:35.195Z","updated_at":"2021-09-30T08:23:35.195Z"},{"id":1177,"pubmed_id":27993942,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting glycan microarray-based data.","year":2016,"url":"http://doi.org/10.1093/glycob/cww118","authors":"Liu Y,McBride R,Stoll M et al.","journal":"Glycobiology","doi":"10.1093/glycob/cww118","created_at":"2021-09-30T08:24:30.866Z","updated_at":"2021-09-30T08:24:30.866Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1451,"relation":"undefined"}],"grants":[{"id":7425,"fairsharing_record_id":1416,"organisation_id":1201,"relation":"maintains","created_at":"2021-09-30T09:28:37.280Z","updated_at":"2021-09-30T09:28:37.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":1201,"name":"Griffith University, Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7428,"fairsharing_record_id":1416,"organisation_id":1320,"relation":"maintains","created_at":"2021-09-30T09:28:37.378Z","updated_at":"2021-09-30T09:28:37.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":1320,"name":"Imperial College London, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7426,"fairsharing_record_id":1416,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:37.305Z","updated_at":"2021-09-30T09:28:37.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7427,"fairsharing_record_id":1416,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:37.336Z","updated_at":"2021-09-30T09:28:37.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7429,"fairsharing_record_id":1416,"organisation_id":857,"relation":"maintains","created_at":"2021-09-30T09:28:37.471Z","updated_at":"2021-09-30T09:28:37.471Z","grant_id":null,"is_lead":false,"saved_state":{"id":857,"name":"Emory University, Atlanta, Georgia, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWUU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--82ff169ce78db014a08f9412a73b4cec5b241ed7/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1400","type":"fairsharing_records","attributes":{"created_at":"2020-11-23T12:15:41.000Z","updated_at":"2023-10-25T15:40:33.739Z","metadata":{"doi":"10.25504/FAIRsharing.99ff30","name":"Minimum Information about Clinical Artificial Intelligence Modeling","status":"ready","contacts":[{"contact_name":"Atul Butte","contact_email":"Atul.Butte@ucsf.edu","contact_orcid":"0000-0002-7433-2740"}],"homepage":"https://github.com/beaunorgeot/MI-CLAIM","citations":[{"doi":"10.1038/s41591-020-1041-y","pubmed_id":32908275,"publication_id":3079}],"identifier":1400,"description":"The MI-CLAIM checklist is a guideline intended to improve transparent reporting of AI algorithms in medicine. MI-CLAIM was created to enable a direct assessment of clinical impact (including FAIRness), and to allow rapid replication of the technical design process of any legitimate clinical AI study.","abbreviation":"MI-CLAIM checklist","support_links":[{"url":"https://github.com/beaunorgeot/MI-CLAIM/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001548","bsg-s001548"],"name":"FAIRsharing record for: Minimum Information about Clinical Artificial Intelligence Modeling","abbreviation":"MI-CLAIM checklist","url":"https://fairsharing.org/10.25504/FAIRsharing.99ff30","doi":"10.25504/FAIRsharing.99ff30","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MI-CLAIM checklist is a guideline intended to improve transparent reporting of AI algorithms in medicine. MI-CLAIM was created to enable a direct assessment of clinical impact (including FAIRness), and to allow rapid replication of the technical design process of any legitimate clinical AI study.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16982}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Artificial Intelligence","Clinical Studies","Computer Science"],"domains":["Machine learning"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3079,"pubmed_id":32908275,"title":"Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.","year":2020,"url":"http://doi.org/10.1038/s41591-020-1041-y","authors":"Norgeot B,Quer G,Beaulieu-Jones BK,Torkamani A,Dias R,Gianfrancesco M,Arnaout R,Kohane IS,Saria S,Topol E,Obermeyer Z,Yu B,Butte AJ","journal":"Nat Med","doi":"10.1038/s41591-020-1041-y","created_at":"2021-09-30T08:28:19.359Z","updated_at":"2021-09-30T08:28:19.359Z"}],"licence_links":[],"grants":[{"id":7379,"fairsharing_record_id":1400,"organisation_id":2531,"relation":"maintains","created_at":"2021-09-30T09:28:35.668Z","updated_at":"2021-09-30T09:28:35.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":2531,"name":"Scripps Research Translational Institute, San Diego, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7382,"fairsharing_record_id":1400,"organisation_id":697,"relation":"maintains","created_at":"2021-09-30T09:28:35.761Z","updated_at":"2021-09-30T09:28:35.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":697,"name":"Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7378,"fairsharing_record_id":1400,"organisation_id":160,"relation":"maintains","created_at":"2021-09-30T09:28:35.626Z","updated_at":"2021-09-30T09:28:35.626Z","grant_id":null,"is_lead":true,"saved_state":{"id":160,"name":"Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7380,"fairsharing_record_id":1400,"organisation_id":680,"relation":"maintains","created_at":"2021-09-30T09:28:35.705Z","updated_at":"2021-09-30T09:28:35.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":680,"name":"Department of Biomedical Informatics (DBMI), Blavatnik Institute, Harvard Medical School, Boston, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7381,"fairsharing_record_id":1400,"organisation_id":772,"relation":"maintains","created_at":"2021-09-30T09:28:35.737Z","updated_at":"2021-09-30T09:28:35.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":772,"name":"Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7383,"fairsharing_record_id":1400,"organisation_id":770,"relation":"maintains","created_at":"2021-09-30T09:28:35.786Z","updated_at":"2021-09-30T09:28:35.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":770,"name":"Division of Health Policy and Management, School of Public Health, University of California at Berkeley, Berkeley, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1401","type":"fairsharing_records","attributes":{"created_at":"2020-04-27T11:58:36.000Z","updated_at":"2022-07-20T13:02:26.522Z","metadata":{"doi":"10.25504/FAIRsharing.aVmpKl","name":"Coronavirus Infectious Disease Ontology","status":"ready","contacts":[{"contact_name":"Yongqun Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/cido-ontology/cido","citations":[{"doi":"10.1038/s41597-020-0523-6","pubmed_id":32533075,"publication_id":2993}],"identifier":1401,"description":"The Ontology of Coronavirus Infectious Disease (CIDO) is a community-driven open-source biomedical ontology in the area of coronavirus infectious disease. The CIDO is developed to provide standardized human- and computer-interpretable annotation and representation of various coronavirus infectious diseases, including their etiology, transmission, epidemiology, pathogenesis, diagnosis, prevention, and treatment. Its development follows the OBO Foundry Principles.","abbreviation":"CIDO","support_links":[{"url":"https://github.com/CIDO-ontology/cido/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"cido-discuss@googlegroups.com","name":"Google Groups","type":"Mailing list"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIDO","name":"CIDO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cido.html","name":"cido","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001471","bsg-s001471"],"name":"FAIRsharing record for: Coronavirus Infectious Disease Ontology","abbreviation":"CIDO","url":"https://fairsharing.org/10.25504/FAIRsharing.aVmpKl","doi":"10.25504/FAIRsharing.aVmpKl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Coronavirus Infectious Disease (CIDO) is a community-driven open-source biomedical ontology in the area of coronavirus infectious disease. The CIDO is developed to provide standardized human- and computer-interpretable annotation and representation of various coronavirus infectious diseases, including their etiology, transmission, epidemiology, pathogenesis, diagnosis, prevention, and treatment. Its development follows the OBO Foundry Principles.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12288},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12562}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Bioinformatics","Drug Repositioning","Virology","Epidemiology"],"domains":["Drug","Drug interaction","Infection","Disease"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["China","United States"],"publications":[{"id":2992,"pubmed_id":null,"title":"Ontological and Bioinformatic Analysis of Anti-Coronavirus Drugs and Their Implication for Drug Repurposing against COVID-19 (Preprint)","year":2020,"url":"http://dx.doi.org/10.20944/preprints202003.0413.v1","authors":"Yingtong Liu , Wallace Chan , Zhigang Wang , Junguk Hur ORCID logo , Jiangan Xie , Hong Yu , Yongqun He","journal":"Preprints.org","doi":null,"created_at":"2021-09-30T08:28:08.899Z","updated_at":"2021-09-30T08:28:08.899Z"},{"id":2993,"pubmed_id":32533075,"title":"CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis.","year":2020,"url":"http://doi.org/10.1038/s41597-020-0523-6","authors":"He Y,Yu H,Ong E,Wang Y,Liu Y,Huffman A,Huang HH,Beverley J,Hur J,Yang X,Chen L,Omenn GS,Athey B,Smith B","journal":"Sci Data","doi":"10.1038/s41597-020-0523-6","created_at":"2021-09-30T08:28:09.061Z","updated_at":"2021-09-30T08:28:09.061Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1911,"relation":"undefined"}],"grants":[{"id":7385,"fairsharing_record_id":1401,"organisation_id":1205,"relation":"maintains","created_at":"2021-09-30T09:28:35.836Z","updated_at":"2021-09-30T09:28:35.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":1205,"name":"Guizhou Medical University, Guiyang, Guizhou, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7384,"fairsharing_record_id":1401,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:35.812Z","updated_at":"2021-09-30T09:28:35.812Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1402","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:27:07.000Z","updated_at":"2023-03-14T16:06:54.363Z","metadata":{"doi":"10.25504/FAIRsharing.ysih8m","name":"CityJSON - A JSON-based encoding for 3D city models","status":"ready","contacts":[{"contact_name":"3D geoinformation group","contact_email":"3Dgeoinfo-BK@tudelft.nl"}],"homepage":"https://www.cityjson.org/","citations":[],"identifier":1402,"description":"CityJSON is a JSON-based encoding for storing 3D city models, also called digital maquettes or digital twins. The aim of CityJSON is to offer a compact and developer-friendly format, so that files can be easily visualised, manipulated, and edited. It was designed with programmers in mind, so that tools and APIs supporting it can be quickly built, and several have been created already.","abbreviation":"CityJSON","support_links":[{"url":"https://www.cityjson.org/help/","name":"Help","type":"Help documentation"}],"year_creation":2019,"associated_tools":[{"url":"https://www.cityjson.org/software/","name":"Various software supporting CityJSON"}]},"legacy_ids":["bsg-001490","bsg-s001490"],"name":"FAIRsharing record for: CityJSON - A JSON-based encoding for 3D city models","abbreviation":"CityJSON","url":"https://fairsharing.org/10.25504/FAIRsharing.ysih8m","doi":"10.25504/FAIRsharing.ysih8m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CityJSON is a JSON-based encoding for storing 3D city models, also called digital maquettes or digital twins. The aim of CityJSON is to offer a compact and developer-friendly format, so that files can be easily visualised, manipulated, and edited. It was designed with programmers in mind, so that tools and APIs supporting it can be quickly built, and several have been created already.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Urban Planning"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["3D city model","Geospatial Data"],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1863,"relation":"undefined"}],"grants":[{"id":7386,"fairsharing_record_id":1402,"organisation_id":4,"relation":"maintains","created_at":"2021-09-30T09:28:35.862Z","updated_at":"2021-09-30T09:28:35.862Z","grant_id":null,"is_lead":true,"saved_state":{"id":4,"name":"3D geoinformation research group","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1403","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:37:27.000Z","updated_at":"2022-07-20T12:10:22.116Z","metadata":{"name":"EngMeta","status":"in_development","contacts":[{"contact_name":"FoKUS","contact_email":"fokus@izus.uni-stuttgart.de"}],"homepage":"https://www.izus.uni-stuttgart.de/fokus/engmeta","identifier":1403,"description":"EngMeta is a metadata model for data from computational engineering based on existing standards and developed to enable a structured documentation of the research process and the simulation environment all together with discipline specific information about the simulated system.","abbreviation":"EngMeta","year_creation":2019,"associated_tools":[{"url":"https://github.com/bjschembera/ExtractIng","name":"ExtractIng"}]},"legacy_ids":["bsg-001492","bsg-s001492"],"name":"FAIRsharing record for: EngMeta","abbreviation":"EngMeta","url":"https://fairsharing.org/fairsharing_records/1403","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EngMeta is a metadata model for data from computational engineering based on existing standards and developed to enable a structured documentation of the research process and the simulation environment all together with discipline specific information about the simulated system.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Aerospace Engineering","Thermodynamics","Molecular Dynamics"],"domains":["Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":["Aerodynamics","High Performance Computing (HPC)"],"countries":["Germany"],"publications":[{"id":2991,"pubmed_id":null,"title":"EngMeta: metadata for computational engineering","year":2020,"url":"https://arxiv.org/abs/2005.01637","authors":"Björn Schembera and Dorothea Iglezakis","journal":"International Journal of Metadata, Semantics and Ontologies","doi":null,"created_at":"2021-09-30T08:28:08.782Z","updated_at":"2021-09-30T11:28:39.147Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1864,"relation":"undefined"}],"grants":[{"id":7388,"fairsharing_record_id":1403,"organisation_id":3129,"relation":"maintains","created_at":"2021-09-30T09:28:35.917Z","updated_at":"2021-09-30T09:28:35.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":3129,"name":"University of Stuttgart - University library","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7389,"fairsharing_record_id":1403,"organisation_id":1255,"relation":"maintains","created_at":"2021-09-30T09:28:35.959Z","updated_at":"2021-09-30T09:28:35.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":1255,"name":"HLRS","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9346,"fairsharing_record_id":1403,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.002Z","updated_at":"2022-04-11T12:07:32.020Z","grant_id":1674,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"16FDM008","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1404","type":"fairsharing_records","attributes":{"created_at":"2020-06-25T14:17:27.000Z","updated_at":"2022-07-20T12:58:40.230Z","metadata":{"doi":"10.25504/FAIRsharing.B0d5Kn","name":"Scholarly Link Exchange Metadata Schema","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@scholix.org"}],"homepage":"http://www.scholix.org/schema","citations":[{"publication_id":3000}],"identifier":1404,"description":"The Scholix metadata schema was created by journal publishers, data centres, and global service providers to collect and exchange links between research data and literature. The core of Scholix data is the Link Information Package, which contains information about two objects and about the link between them. The schema contains of all the properties in a Scholix link information package with their definitions, structure and occurrence rules. Many of the properties are optional; the schema is designed to allow bulk exchange of link information with a minimum of information relevant to the link being mandatory.","abbreviation":"Scholix","support_links":[{"url":"http://www.scholix.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.scholix.org/participate","name":"How to Participate","type":"Help documentation"},{"url":"http://www.scholix.org/about","name":"About","type":"Help documentation"},{"url":"http://www.scholix.org/presentations","name":"Presentations","type":"Help documentation"},{"url":"https://github.com/scholix/schema","name":"Github Repository","type":"Github"},{"url":"http://www.scholix.org/implementors","name":"Implementors","type":"Help documentation"},{"url":"https://github.com/scholix/schema/raw/master/xsd/v3/schema.xsd","name":"Scholix v3","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-001499","bsg-s001499"],"name":"FAIRsharing record for: Scholarly Link Exchange Metadata Schema","abbreviation":"Scholix","url":"https://fairsharing.org/10.25504/FAIRsharing.B0d5Kn","doi":"10.25504/FAIRsharing.B0d5Kn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Scholix metadata schema was created by journal publishers, data centres, and global service providers to collect and exchange links between research data and literature. The core of Scholix data is the Link Information Package, which contains information about two objects and about the link between them. The schema contains of all the properties in a Scholix link information package with their definitions, structure and occurrence rules. Many of the properties are optional; the schema is designed to allow bulk exchange of link information with a minimum of information relevant to the link being mandatory.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management"],"domains":["Citation","Resource metadata","Bibliography","Data identity and mapping"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3000,"pubmed_id":null,"title":"Scholix Metadata Schema for Exchange of Scholarly Communication Links (Version 3)","year":2017,"url":"https://doi.org/10.5281/zenodo.1120248","authors":"Burton, Adrian; Fenner, Martin; Haak, Wouter; Manghi, Paolo","journal":"Zenodo","doi":null,"created_at":"2021-09-30T08:28:09.899Z","updated_at":"2021-09-30T08:28:09.899Z"},{"id":3001,"pubmed_id":null,"title":"Bringing Citations and Usage Metrics Together to Make Data Count","year":2019,"url":"http://doi.org/10.5334/dsj-2019-009","authors":"Helena Cousijn , Patricia Feeney, Daniella Lowenberg, Eleonora Presani, Natasha Simons","journal":"Data Science Journal","doi":null,"created_at":"2021-09-30T08:28:10.008Z","updated_at":"2021-09-30T08:28:10.008Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1973,"relation":"undefined"}],"grants":[{"id":7390,"fairsharing_record_id":1404,"organisation_id":2405,"relation":"maintains","created_at":"2021-09-30T09:28:36.001Z","updated_at":"2021-09-30T09:28:36.001Z","grant_id":null,"is_lead":true,"saved_state":{"id":2405,"name":"RDA/WDS WG on Scholarly Links Exchange (Scholix)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1405","type":"fairsharing_records","attributes":{"created_at":"2018-04-17T12:49:22.000Z","updated_at":"2022-07-20T11:19:38.275Z","metadata":{"doi":"10.25504/FAIRsharing.b1xD9f","name":"Subject Resource Application Ontology","status":"ready","contacts":[{"contact_name":"FAIRsharing Team","contact_email":"contact@fairsharing.org"}],"homepage":"https://github.com/FAIRsharing/subject-ontology","citations":[],"identifier":1405,"description":"The Subject Resource Application Ontology (SRAO) is an application ontology describing subject areas / academic disciplines used within FAIRsharing records by curators and the user community. It is built in conjunction with the Domain Resource Application Ontology (DRAO), which contains more specific domain terms and other descriptors. All classes within SRAO come from publicly-available ontologies and controlled vocabularies.","abbreviation":"SRAO","support_links":[{"url":"https://github.com/FAIRsharing/subject-ontology/issues","name":"SRAO Issue Tracker","type":"Github"},{"url":"https://twitter.com/FAIRsharing_org","name":"@FAIRsharing_org","type":"Twitter"}],"year_creation":2018,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/srao","name":"OLS Entry","portal":"OLS"}]},"legacy_ids":["bsg-001177","bsg-s001177"],"name":"FAIRsharing record for: Subject Resource Application Ontology","abbreviation":"SRAO","url":"https://fairsharing.org/10.25504/FAIRsharing.b1xD9f","doi":"10.25504/FAIRsharing.b1xD9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Subject Resource Application Ontology (SRAO) is an application ontology describing subject areas / academic disciplines used within FAIRsharing records by curators and the user community. It is built in conjunction with the Domain Resource Application Ontology (DRAO), which contains more specific domain terms and other descriptors. All classes within SRAO come from publicly-available ontologies and controlled vocabularies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Humanities","Natural Science","Earth Science","Agriculture","Life Science","Computer Science","Biomedical Science"],"domains":["Resource metadata","Classification","FAIR"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1936,"relation":"undefined"}],"grants":[{"id":7391,"fairsharing_record_id":1405,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:36.038Z","updated_at":"2021-09-30T09:28:36.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1427","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T16:11:18.000Z","updated_at":"2022-02-08T10:42:40.639Z","metadata":{"doi":"10.25504/FAIRsharing.4c7c1c","name":"DDBJ/ENA/GenBank Feature Table","status":"ready","contacts":[{"contact_name":"DDBJ general inquiry","contact_email":"ddbj@ddbj.nig.ac.jp"}],"homepage":"http://www.insdc.org/documents/feature-table","identifier":1427,"description":"The GenBank, EMBL, and DDBJ nucleic acid sequence data banks have from their inception used tables of sites and features to describe the roles and locations of higher order sequence domains and elements within the genome of an organism. In February, 1986, GenBank and EMBL began a collaborative effort (joined by DDBJ in 1987) to devise a common feature table format and common standards for annotation practice.","abbreviation":null,"year_creation":1986},"legacy_ids":["bsg-001583","bsg-s001583"],"name":"FAIRsharing record for: DDBJ/ENA/GenBank Feature Table","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4c7c1c","doi":"10.25504/FAIRsharing.4c7c1c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GenBank, EMBL, and DDBJ nucleic acid sequence data banks have from their inception used tables of sites and features to describe the roles and locations of higher order sequence domains and elements within the genome of an organism. In February, 1986, GenBank and EMBL began a collaborative effort (joined by DDBJ in 1987) to devise a common feature table format and common standards for annotation practice.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12133}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["Nucleic acid sequence","Sequence composition, complexity and repeats","Binding"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States"],"publications":[{"id":63,"pubmed_id":21106499,"title":"The International Nucleotide Sequence Database Collaboration.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1150","authors":"Cochrane G,Karsch-Mizrachi I,Nakamura Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1150","created_at":"2021-09-30T08:22:27.089Z","updated_at":"2021-09-30T11:28:42.176Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1801,"relation":"undefined"}],"grants":[{"id":7446,"fairsharing_record_id":1427,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:28:37.964Z","updated_at":"2021-09-30T09:28:37.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7445,"fairsharing_record_id":1427,"organisation_id":1504,"relation":"maintains","created_at":"2021-09-30T09:28:37.940Z","updated_at":"2021-09-30T09:28:37.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1504,"name":"International Nucleotide Sequence Database Collaboration (INSDC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7447,"fairsharing_record_id":1427,"organisation_id":252,"relation":"maintains","created_at":"2021-09-30T09:28:37.990Z","updated_at":"2021-09-30T09:28:37.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":252,"name":"Bioinformation and DDBJ Center","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7444,"fairsharing_record_id":1427,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:37.914Z","updated_at":"2021-09-30T09:28:37.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1428","type":"fairsharing_records","attributes":{"created_at":"2020-04-29T21:22:24.000Z","updated_at":"2022-07-20T10:57:10.539Z","metadata":{"doi":"10.25504/FAIRsharing.zwjNAh","name":"Adaptive Immune Receptor Repertoire Rearrangement Schema","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bcorrie@sfu.ca","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/datarep/rearrangements.html","citations":[{"doi":"10.3389/fimmu.2018.02206","pubmed_id":30323809,"publication_id":3025}],"identifier":1428,"description":"The Adaptive Immune Receptor Repertoire (AIRR) Rearrangement Schema, part of the AIRR Data Model, defines the annotations needed for rearrangements, which are sequences describing a rearranged adaptive immune receptor chain (e.g., antibody heavy chain or TCR beta chain). Data for Rearrangement objects are stored as rows in a tab-delimited file and should be compatible with any TSV reader. A dataset is defined in this context as: a TSV file, a TSV with a companion YAML file containing metadata, or a directory containing multiple TSV files and YAML files.","abbreviation":"AIRR Rearrangement Schema","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2018},"legacy_ids":["bsg-001474","bsg-s001474"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Rearrangement Schema","abbreviation":"AIRR Rearrangement Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.zwjNAh","doi":"10.25504/FAIRsharing.zwjNAh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adaptive Immune Receptor Repertoire (AIRR) Rearrangement Schema, part of the AIRR Data Model, defines the annotations needed for rearrangements, which are sequences describing a rearranged adaptive immune receptor chain (e.g., antibody heavy chain or TCR beta chain). Data for Rearrangement objects are stored as rows in a tab-delimited file and should be compatible with any TSV reader. A dataset is defined in this context as: a TSV file, a TSV with a companion YAML file containing metadata, or a directory containing multiple TSV files and YAML files.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11820}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex","Antibody"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3025,"pubmed_id":30323809,"title":"AIRR Community Standardized Representations for Annotated Immune Repertoires.","year":2018,"url":"http://doi.org/10.3389/fimmu.2018.02206","authors":"Vander Heiden JA,Marquez S,Marthandan N,Bukhari SAC,Busse CE,Corrie B,Hershberg U,Kleinstein SH,Matsen Iv FA,Ralph DK,Rosenfeld AM,Schramm CA,Christley S,Laserson U","journal":"Front Immunol","doi":"10.3389/fimmu.2018.02206","created_at":"2021-09-30T08:28:12.866Z","updated_at":"2021-09-30T08:28:12.866Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2073,"relation":"undefined"}],"grants":[{"id":7448,"fairsharing_record_id":1428,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.014Z","updated_at":"2021-09-30T09:28:38.014Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1461","type":"fairsharing_records","attributes":{"created_at":"2018-09-24T13:34:49.000Z","updated_at":"2023-09-29T11:54:57.213Z","metadata":{"doi":"10.25504/FAIRsharing.9de4c3","name":"ISO/TS 19115-3:2016 Geographic information -- Metadata -- Part 3: XML schema implementation for fundamental concepts","status":"ready","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/32579.html","citations":[],"identifier":1461,"description":"ISO/TS 19115-3:2016 defines an integrated XML implementation of ISO 19115‑1, ISO 19115‑2, and concepts from ISO/TS 19139 by defining the following artefacts: a) a set of XML schema required to validate metadata instance documents conforming to conceptual model elements defined in ISO 19115‑1, ISO 19115‑2, and ISO/TS 19139; b) a set of ISO/IEC 19757‑3 (Schematron) rules that implement validation constraints in the ISO 19115‑1 and ISO 19115‑2 UML models that are not validated by the XML schema; c) an Extensible Stylesheet Language Transformation (XSLT) for transforming ISO 19115-1 metadata encoded using the ISO/TS 19139 XML schema and ISO 19115‑2 metadata encoded using the ISO/TS 19139‑2 XML schema into an equivalent document that is valid against the XML schema defined in this document. ISO/TS 19115-3:2016 describes the procedure used to generate XML schema from ISO geographic information conceptual models related to metadata. The procedure includes creation of an UML model for XML implementation derived from the conceptual UML model.","abbreviation":"ISO/TS 19115-3:2016","year_creation":2016},"legacy_ids":["bsg-001292","bsg-s001292"],"name":"FAIRsharing record for: ISO/TS 19115-3:2016 Geographic information -- Metadata -- Part 3: XML schema implementation for fundamental concepts","abbreviation":"ISO/TS 19115-3:2016","url":"https://fairsharing.org/10.25504/FAIRsharing.9de4c3","doi":"10.25504/FAIRsharing.9de4c3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO/TS 19115-3:2016 defines an integrated XML implementation of ISO 19115‑1, ISO 19115‑2, and concepts from ISO/TS 19139 by defining the following artefacts: a) a set of XML schema required to validate metadata instance documents conforming to conceptual model elements defined in ISO 19115‑1, ISO 19115‑2, and ISO/TS 19139; b) a set of ISO/IEC 19757‑3 (Schematron) rules that implement validation constraints in the ISO 19115‑1 and ISO 19115‑2 UML models that are not validated by the XML schema; c) an Extensible Stylesheet Language Transformation (XSLT) for transforming ISO 19115-1 metadata encoded using the ISO/TS 19139 XML schema and ISO 19115‑2 metadata encoded using the ISO/TS 19139‑2 XML schema into an equivalent document that is valid against the XML schema defined in this document. ISO/TS 19115-3:2016 describes the procedure used to generate XML schema from ISO geographic information conceptual models related to metadata. The procedure includes creation of an UML model for XML implementation derived from the conceptual UML model.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1757,"relation":"undefined"}],"grants":[{"id":7504,"fairsharing_record_id":1461,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:28:39.985Z","updated_at":"2021-09-30T09:28:39.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10915,"fairsharing_record_id":1461,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:06:56.688Z","updated_at":"2023-09-27T14:06:56.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1462","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:10.242Z","metadata":{"doi":"10.25504/FAIRsharing.ew26v7","name":"Structure Data Format","status":"ready","homepage":"http://en.wikipedia.org/wiki/SD_format#SDF","identifier":1462,"description":"Structure Data Format (SDF) is a chemical file formats to represent multiple chemical structure records and associated data fields. SDF was developed and published by Molecular Design Limited (MDL) and became the most widely used standard for importing and exporting information on chemicals.","abbreviation":"SDF","support_links":[{"url":"https://cactus.nci.nih.gov/SDF_toolkit/#6","type":"Help documentation"}],"year_creation":1991},"legacy_ids":["bsg-000273","bsg-s000273"],"name":"FAIRsharing record for: Structure Data Format","abbreviation":"SDF","url":"https://fairsharing.org/10.25504/FAIRsharing.ew26v7","doi":"10.25504/FAIRsharing.ew26v7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Structure Data Format (SDF) is a chemical file formats to represent multiple chemical structure records and associated data fields. SDF was developed and published by Molecular Design Limited (MDL) and became the most widely used standard for importing and exporting information on chemicals.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18265},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11735},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12106}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity","X-ray crystallography assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1707,"pubmed_id":null,"title":"Description of several chemical-structure file formats used by computer-programs developed at Molecular Design Limited","year":1992,"url":"http://doi.org/10.1021/ci00007a012","authors":"Dalby A, Nourse JG, Hounshell WD, Gushurst Aki, Grier DL, Leland BA, Laufer J","journal":"Journal of Chemical Information and Computer Sciences","doi":"10.1021/ci00007a012","created_at":"2021-09-30T08:25:31.287Z","updated_at":"2021-09-30T08:25:31.287Z"}],"licence_links":[],"grants":[{"id":7505,"fairsharing_record_id":1462,"organisation_id":1809,"relation":"maintains","created_at":"2021-09-30T09:28:40.017Z","updated_at":"2021-09-30T09:28:40.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":1809,"name":"MDL Information Systems","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1463","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2022-07-20T11:57:18.074Z","metadata":{"doi":"10.25504/FAIRsharing.c2yb5w","name":"Metadata Authority Description Schema in RDF","status":"ready","contacts":[{"contact_name":"Nancy Lorimer","contact_email":"nlorimer@stanford.edu"}],"homepage":"http://id.loc.gov/ontologies/madsrdf/v1.html","identifier":1463,"description":"MADS/RDF is a knowledge organization system (KOS) designed for use with controlled values for names (personal, corporate, geographic, etc.), thesauri, taxonomies, subject heading systems, and other controlled value lists. It is closely related to SKOS, the Simple Knowledge Organization System and a widely supported and adopted RDF vocabulary. MADS/RDF has been fully mapped to SKOS. It is presented as an OWL ontology. While SKOS is very broad in its application, MADS/RDF is designed specifically to support authority data as used by and needed in the LIS community and its technology systems. For example, MADS/RDF provides a means to record data from the Machine Readable Cataloging (MARC) Authorities format in RDF for use in semantic applications and Linked Data projects.","abbreviation":"MADS/RDF","support_links":[{"url":"mods@listserv.loc.gov","name":"Support Email","type":"Support email"},{"url":"ndmso@loc.gov","name":"Network Development and MARC Standards Office","type":"Support email"},{"url":"http://www.loc.gov/standards/mads/rdf/","name":"MADS/RDF Primer","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000899","bsg-s000899"],"name":"FAIRsharing record for: Metadata Authority Description Schema in RDF","abbreviation":"MADS/RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.c2yb5w","doi":"10.25504/FAIRsharing.c2yb5w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MADS/RDF is a knowledge organization system (KOS) designed for use with controlled values for names (personal, corporate, geographic, etc.), thesauri, taxonomies, subject heading systems, and other controlled value lists. It is closely related to SKOS, the Simple Knowledge Organization System and a widely supported and adopted RDF vocabulary. MADS/RDF has been fully mapped to SKOS. It is presented as an OWL ontology. While SKOS is very broad in its application, MADS/RDF is designed specifically to support authority data as used by and needed in the LIS community and its technology systems. For example, MADS/RDF provides a means to record data from the Machine Readable Cataloging (MARC) Authorities format in RDF for use in semantic applications and Linked Data projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":1979,"relation":"undefined"}],"grants":[{"id":7506,"fairsharing_record_id":1463,"organisation_id":2132,"relation":"maintains","created_at":"2021-09-30T09:28:40.064Z","updated_at":"2021-09-30T09:28:40.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":2132,"name":"Network Development and MARC Standards Office","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1464","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T12:25:09.000Z","updated_at":"2022-02-08T10:29:02.994Z","metadata":{"doi":"10.25504/FAIRsharing.b4af3c","name":"North American Profile of ISO19115:2003 - Geographic information - Metadata","status":"ready","contacts":[{"contact_name":"FGDC General Contact","contact_email":"fgdc@fgdc.gov"}],"homepage":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata","identifier":1464,"description":"The North American Profile of ISO 19115:2003, Geographic information - Metadata, is intended to identify geospatial metadata that are needed for North American organizations to describe their geospatial data, including dataset and dataset series, and related Web services. It provides a mechanism for organizations producing geographic information to describe datasets in detail. The Profile helps users to better understand geographic metadata, the assumptions and limitations of geographic information, and facilitates the search for proper information to fit users’ needs. It is based on ISO 19115:2003, Geographic information - Metadata, and ISO 19106:2004, Geographic information - Profiles. It also includes service metadata from ISO 19119:2005, Geographic information - Services, and implementation perspectives from ISO/TS 19139:200,7 Geographic information - Metadata - XML schema implementation. Please note this profile extends ISO 19115:2003.","abbreviation":null,"support_links":[{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/Comment%20Submission%20Form.xls/view","name":"Comment Submission Form","type":"Contact form"},{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/napMetadataProfileV101.pdf/view","name":"North American Profile Specification","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/JointConsolidatedComments%20for%20ISO19115%20NAP%202007-03-16sortedv3.doc/view","name":"Comments on the first draft of the NAP document","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/NAP_Metadata","name":"Comments on draft from Metadata practitioners","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001308","bsg-s001308"],"name":"FAIRsharing record for: North American Profile of ISO19115:2003 - Geographic information - Metadata","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.b4af3c","doi":"10.25504/FAIRsharing.b4af3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The North American Profile of ISO 19115:2003, Geographic information - Metadata, is intended to identify geospatial metadata that are needed for North American organizations to describe their geospatial data, including dataset and dataset series, and related Web services. It provides a mechanism for organizations producing geographic information to describe datasets in detail. The Profile helps users to better understand geographic metadata, the assumptions and limitations of geographic information, and facilitates the search for proper information to fit users’ needs. It is based on ISO 19115:2003, Geographic information - Metadata, and ISO 19106:2004, Geographic information - Profiles. It also includes service metadata from ISO 19119:2005, Geographic information - Services, and implementation perspectives from ISO/TS 19139:200,7 Geographic information - Metadata - XML schema implementation. Please note this profile extends ISO 19115:2003.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Canada","United States"],"publications":[],"licence_links":[],"grants":[{"id":7507,"fairsharing_record_id":1464,"organisation_id":1001,"relation":"maintains","created_at":"2021-09-30T09:28:40.106Z","updated_at":"2021-09-30T09:28:40.106Z","grant_id":null,"is_lead":true,"saved_state":{"id":1001,"name":"Federal Geographic Data Committee (FGDC), Virginia, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1465","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-03-13T09:23:57.779Z","metadata":{"doi":"10.25504/FAIRsharing.hs43fc","name":"Fish Ontology","status":"ready","contacts":[{"contact_name":"Sarinder Kaur","contact_email":"sarinder@um.edu.my"}],"homepage":"https://mohdnajib1985.github.io/FOWebPage/","citations":[],"identifier":1465,"description":"This Fish Ontology is an ontology created as how the author views the fish structure following the book \"The Diversity of Fishes: Biology, Evolution and Ecology\" as the main reference, which covers one part of view on ichthyology, with an emphasis on diversity and adaptation. This ontology is created with the mindset of categorizing fish automatically based on the attributes and terms mined from the fish specimen. Most of the basic organization from this ontology follows Nelson's research due to its synthetic and broad approach, while recognizing that Nelson's conclusions are one of many alternative interpretations of the literature, which is mostly agreed by our main references, and many fish and fisheries researchers. Most of the classification used in this ontology is in no means completed and just following the recent classification provided by the books For now our work focused more on two group of fish which is early jawless fish, and advanced jawed fishes. The classification from both of this group are structured following the reference.","abbreviation":"FISHO","support_links":[{"url":"23.mohdnajib@gmail.com","name":"Mohd Najib","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FISHO","name":"FISHO","portal":"BioPortal"}]},"legacy_ids":["bsg-001028","bsg-s001028"],"name":"FAIRsharing record for: Fish Ontology","abbreviation":"FISHO","url":"https://fairsharing.org/10.25504/FAIRsharing.hs43fc","doi":"10.25504/FAIRsharing.hs43fc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This Fish Ontology is an ontology created as how the author views the fish structure following the book \"The Diversity of Fishes: Biology, Evolution and Ecology\" as the main reference, which covers one part of view on ichthyology, with an emphasis on diversity and adaptation. This ontology is created with the mindset of categorizing fish automatically based on the attributes and terms mined from the fish specimen. Most of the basic organization from this ontology follows Nelson's research due to its synthetic and broad approach, while recognizing that Nelson's conclusions are one of many alternative interpretations of the literature, which is mostly agreed by our main references, and many fish and fisheries researchers. Most of the classification used in this ontology is in no means completed and just following the recent classification provided by the books For now our work focused more on two group of fish which is early jawless fish, and advanced jawed fishes. The classification from both of this group are structured following the reference.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fisheries Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1466","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-06T10:24:28.648Z","metadata":{"doi":"10.25504/FAIRsharing.rtm51","name":"Gene Product Annotation Data","status":"ready","contacts":[{"contact_name":"General enquiries","contact_email":"go-discuss@geneontology.org"}],"homepage":"http://geneontology.org/docs/gene-product-association-data-gpad-format/","identifier":1466,"description":"The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation.","abbreviation":"GPAD 1.1"},"legacy_ids":["bsg-000519","bsg-s000519"],"name":"FAIRsharing record for: Gene Product Annotation Data","abbreviation":"GPAD 1.1","url":"https://fairsharing.org/10.25504/FAIRsharing.rtm51","doi":"10.25504/FAIRsharing.rtm51","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein","Transcript","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7509,"fairsharing_record_id":1466,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:40.185Z","updated_at":"2021-09-30T09:28:40.185Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9495,"fairsharing_record_id":1466,"organisation_id":1099,"relation":"maintains","created_at":"2022-05-05T13:13:31.004Z","updated_at":"2022-05-05T13:13:31.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1467","type":"fairsharing_records","attributes":{"created_at":"2020-01-09T09:19:12.000Z","updated_at":"2022-07-20T12:19:36.839Z","metadata":{"doi":"10.25504/FAIRsharing.ZkwSlo","name":"Animal Health Ontology for Livestock","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"vocabulaires-ouverts@inrae.fr"}],"homepage":"http://www.atol-ontology.com/en/a-ahol/","identifier":1467,"description":"The AHOL ontology (Animal Health Ontology for Livestock) was built collaboratively within a network of experts in the livestock health field, in order to describe production diseases. Its structure is based on the type of disease: communicable, non communicable, genetic, metabolic, physical or psychological. The properties of each disease are related to associated symptoms (the expression of a phenotypical character), the affected organism (livestock, poultry, mammals, fishes) or the one causing the disease (virus, bacteria, fungus, parasite).","abbreviation":"AHOL","year_creation":2019,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AHOL","name":"AHOL","portal":"BioPortal"}]},"legacy_ids":["bsg-001429","bsg-s001429"],"name":"FAIRsharing record for: Animal Health Ontology for Livestock","abbreviation":"AHOL","url":"https://fairsharing.org/10.25504/FAIRsharing.ZkwSlo","doi":"10.25504/FAIRsharing.ZkwSlo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AHOL ontology (Animal Health Ontology for Livestock) was built collaboratively within a network of experts in the livestock health field, in order to describe production diseases. Its structure is based on the type of disease: communicable, non communicable, genetic, metabolic, physical or psychological. The properties of each disease are related to associated symptoms (the expression of a phenotypical character), the affected organism (livestock, poultry, mammals, fishes) or the one causing the disease (virus, bacteria, fungus, parasite).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fisheries Science","Animal Husbandry"],"domains":["Phenotype","Disease"],"taxonomies":["Vertebrata"],"user_defined_tags":["Livestock"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":646,"relation":"undefined"}],"grants":[{"id":7510,"fairsharing_record_id":1467,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:40.218Z","updated_at":"2021-09-30T09:28:40.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1468","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-06T10:23:27.358Z","metadata":{"doi":"10.25504/FAIRsharing.820ebm","name":"Gene Product Information Format","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium","contact_email":"go-discuss@geneontology.org"}],"homepage":"http://geneontology.org/docs/gene-product-information-gpi-format/","identifier":1468,"description":"The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats, defined here. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation. GPI and GPAD documents consist of sequences of Unicode characters and are encoded in UTF-8 [RFC 3629].","abbreviation":"GPI"},"legacy_ids":["bsg-000520","bsg-s000520"],"name":"FAIRsharing record for: Gene Product Information Format","abbreviation":"GPI","url":"https://fairsharing.org/10.25504/FAIRsharing.820ebm","doi":"10.25504/FAIRsharing.820ebm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats, defined here. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation. GPI and GPAD documents consist of sequences of Unicode characters and are encoded in UTF-8 [RFC 3629].","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein","Transcript","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7512,"fairsharing_record_id":1468,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:40.266Z","updated_at":"2021-09-30T09:28:40.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9493,"fairsharing_record_id":1468,"organisation_id":1099,"relation":"maintains","created_at":"2022-05-05T13:13:30.959Z","updated_at":"2022-05-05T13:13:30.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1469","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2024-03-21T13:59:05.002Z","metadata":{"doi":"10.25504/FAIRsharing.tke3y2","name":"Drug Target Ontology","status":"ready","contacts":[{"contact_name":"Stephan Schurer","contact_email":"sschurer@med.miami.edu"}],"homepage":"http://drugtargetontology.org/","identifier":1469,"description":"Drug Target Ontology (DTO) is developed as a reference for drug targets with the longer-term goal to create a community standard that will facilitate the integration of diverse drug discovery information from numerous heterogeneous resources. The first version of the DTO consists of asserted class hierarchies of the four IDG protein families, GPCRs, kinases, ion channels, and nuclear hormone receptors. Protein classes are linked to tissue and disease via different levels of confidence. DTO also contains drug target development classifications, a large collection of cell lines from the LINCS project and relevant cell-disease and cell-tissue relations. DTO is modeled in OWL2-DL to enable further classification by inference reasoning and SPARQL queries. DTO is implemented following a modularization approach. DTO will serve as the organizational framework for drug targets in the IDG PHAROS User Interface Portal (https://pharos.nih.gov).","abbreviation":"DTO","support_links":[{"url":"http://drugtargetontology.org/contact.html","name":"Contact Form","type":"Contact form"},{"url":"https://youtu.be/fG50WrgiR0Q","name":"Introcuction to DTO in Pharos","type":"Help documentation"},{"url":"https://github.com/DrugTargetOntology/DTO","name":"GitHub repository","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DTO","name":"DTO","portal":"BioPortal"}]},"legacy_ids":["bsg-000955","bsg-s000955"],"name":"FAIRsharing record for: Drug Target Ontology","abbreviation":"DTO","url":"https://fairsharing.org/10.25504/FAIRsharing.tke3y2","doi":"10.25504/FAIRsharing.tke3y2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Drug Target Ontology (DTO) is developed as a reference for drug targets with the longer-term goal to create a community standard that will facilitate the integration of diverse drug discovery information from numerous heterogeneous resources. The first version of the DTO consists of asserted class hierarchies of the four IDG protein families, GPCRs, kinases, ion channels, and nuclear hormone receptors. Protein classes are linked to tissue and disease via different levels of confidence. DTO also contains drug target development classifications, a large collection of cell lines from the LINCS project and relevant cell-disease and cell-tissue relations. DTO is modeled in OWL2-DL to enable further classification by inference reasoning and SPARQL queries. DTO is implemented following a modularization approach. DTO will serve as the organizational framework for drug targets in the IDG PHAROS User Interface Portal (https://pharos.nih.gov).","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11736}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Biomedical Science"],"domains":["Disease","Protein"],"taxonomies":["All"],"user_defined_tags":["Drug Target"],"countries":["United States"],"publications":[{"id":1305,"pubmed_id":29122012,"title":"Drug target ontology to classify and integrate drug discovery data.","year":2017,"url":"http://doi.org/10.1186/s13326-017-0161-x","authors":"Lin Y,Mehta S,Kucuk-McGinty H,Turner JP,Vidovic D,Forlin M,Koleti A,Nguyen DT,Jensen LJ,Guha R,Mathias SL,Ursu O,Stathias V,Duan J,Nabizadeh N,Chung C,Mader C,Visser U,Yang JJ,Bologa CG,Oprea TI,Schurer SC","journal":"J Biomed Semantics","doi":"10.1186/s13326-017-0161-x","created_at":"2021-09-30T08:24:45.765Z","updated_at":"2021-09-30T08:24:45.765Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":861,"relation":"undefined"}],"grants":[{"id":11078,"fairsharing_record_id":1469,"organisation_id":3790,"relation":"maintains","created_at":"2023-11-08T13:09:54.213Z","updated_at":"2023-11-08T13:09:54.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":3790,"name":"University of Miami Institute for Data Science and Computing","types":["Research institute","University"],"is_lead":false,"relation":"maintains"}},{"id":11578,"fairsharing_record_id":1469,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:04.727Z","updated_at":"2024-03-21T13:59:04.951Z","grant_id":865,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54CA189205 (Illuminating the Druggable Genome Knowledge Management Center; Tudor Oprea; PI)","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1470","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2021-11-24T13:19:49.583Z","metadata":{"doi":"10.25504/FAIRsharing.pktgc6","name":"Neuro Behavior Ontology","status":"ready","contacts":[{"contact_name":"George Gkoutos","contact_email":"geg18@aber.ac.uk"}],"homepage":"https://github.com/obo-behavior/behavior-ontology/","citations":[{"doi":"10.1016/B978-0-12-388408-4.00004-6","pubmed_id":23195121,"publication_id":39}],"identifier":1470,"description":"The Neurobehavior Ontology (NBO) consists of two main components, an ontology of behavioral processes and an ontology of behavioral phenotypes. The behavioral process branch of NBO contains a classification of behavior processes complementing and extending GO’s process ontology. The behavior phenotype branch of NBO consists of a classification of both normal and abnormal behavioral characteristics of organisms .","abbreviation":"NBO","support_links":[{"url":"https://github.com/obo-behavior/behavior-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NBO","name":"NBO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/nbo.html","name":"nbo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001077","bsg-s001077"],"name":"FAIRsharing record for: Neuro Behavior Ontology","abbreviation":"NBO","url":"https://fairsharing.org/10.25504/FAIRsharing.pktgc6","doi":"10.25504/FAIRsharing.pktgc6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neurobehavior Ontology (NBO) consists of two main components, an ontology of behavioral processes and an ontology of behavioral phenotypes. The behavioral process branch of NBO contains a classification of behavior processes complementing and extending GO’s process ontology. The behavior phenotype branch of NBO consists of a classification of both normal and abnormal behavioral characteristics of organisms .","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Social and Behavioural Science","Systemic Neuroscience"],"domains":["Behavior","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":39,"pubmed_id":23195121,"title":"The neurobehavior ontology: an ontology for annotation and integration of behavior and behavioral phenotypes.","year":2012,"url":"http://doi.org/10.1016/B978-0-12-388408-4.00004-6","authors":"Gkoutos GV,Schofield PN,Hoehndorf R","journal":"Int Rev Neurobiol","doi":"10.1016/B978-0-12-388408-4.00004-6","created_at":"2021-09-30T08:22:24.666Z","updated_at":"2021-09-30T08:22:24.666Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1220,"relation":"undefined"}],"grants":[{"id":7515,"fairsharing_record_id":1470,"organisation_id":713,"relation":"maintains","created_at":"2021-09-30T09:28:40.368Z","updated_at":"2021-09-30T09:28:40.368Z","grant_id":null,"is_lead":true,"saved_state":{"id":713,"name":"Department of Genetics, University of Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1471","type":"fairsharing_records","attributes":{"created_at":"2020-06-20T13:07:55.000Z","updated_at":"2022-07-20T13:20:24.051Z","metadata":{"doi":"10.25504/FAIRsharing.bbQbSW","name":"Crossref Metadata Deposit Schema","status":"ready","homepage":"https://www.crossref.org/education/content-registration/crossrefs-metadata-deposit-schema/","identifier":1471,"description":"The Crossref Metadata Deposit Schema is a schema designed to enforce a standardized metadata format on research content stored within Crossref. This schema supports a range of different content types and categories, including descriptive (bibliographic), administrative and structural. It follows the ISO/IEC 11179 Metadata Registry (MDR) standard, which specifies a schema for recording both the meaning and technical structure of the data for unambiguous usage by humans and computers.","abbreviation":null,"support_links":[{"url":"https://www.crossref.org/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://www.crossref.org/education/metadata-stewardship/maintaining-your-metadata/","name":"Maintaining your Metadata","type":"Help documentation"},{"url":"https://www.crossref.org/education/content-registration/","name":"How to Register your Metadata","type":"Help documentation"},{"url":"https://www.crossref.org/education/content-registration/crossrefs-metadata-deposit-schema/schema-versions/","name":"Previous Schema Versions","type":"Help documentation"},{"url":"https://www.crossref.org/education/content-registration/crossrefs-metadata-deposit-schema/crossref-xsd-schema-quick-reference/","name":"XSD Quick Reference","type":"Help documentation"},{"url":"https://twitter.com/CrossrefOrg","name":"@CrossrefOrg","type":"Twitter"}],"year_creation":2000},"legacy_ids":["bsg-001498","bsg-s001498"],"name":"FAIRsharing record for: Crossref Metadata Deposit Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bbQbSW","doi":"10.25504/FAIRsharing.bbQbSW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Crossref Metadata Deposit Schema is a schema designed to enforce a standardized metadata format on research content stored within Crossref. This schema supports a range of different content types and categories, including descriptive (bibliographic), administrative and structural. It follows the ISO/IEC 11179 Metadata Registry (MDR) standard, which specifies a schema for recording both the meaning and technical structure of the data for unambiguous usage by humans and computers.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12950},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13341}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management"],"domains":["Citation","Resource metadata","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7516,"fairsharing_record_id":1471,"organisation_id":620,"relation":"maintains","created_at":"2021-09-30T09:28:40.406Z","updated_at":"2021-09-30T09:28:40.406Z","grant_id":null,"is_lead":true,"saved_state":{"id":620,"name":"CrossRef, Lynnfield, MA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1472","type":"fairsharing_records","attributes":{"created_at":"2020-10-02T13:03:37.000Z","updated_at":"2022-07-20T12:45:47.748Z","metadata":{"doi":"10.25504/FAIRsharing.8DCv6L","name":"Cross-Linguistic Data Formats","status":"ready","contacts":[{"contact_name":"Robert Forkel","contact_email":"forkel@shh.mpg.de","contact_orcid":"0000-0003-1081-086X"}],"homepage":"https://cldf.clld.org","citations":[{"doi":"10.1038/sdata.2018.205","pubmed_id":30325347,"publication_id":3046}],"identifier":1472,"description":"Cross-Linguistic Data Formats (CLDF) is a format for exchanging cross-linguistic data. CLDF provides modular specifications for common data types in language typology and historical linguistics, which are based on a shared data model and a formal ontology. The main type of cross-linguistic data relevant to this format is tabular data that is typically analysed using quantitative (automated) methods or made accessible using software tools like the `clld` framework, such as wordlists, structure datasets and simple dictionaries. Each CLDF dataset is described by a JSON metadata file according to Model for Tabular Data and Metadata on the Web (CSVW) tabular metadata specification.","abbreviation":"CLDF","support_links":[{"url":"https://github.com/cldf/cldf","name":"GitHub Project","type":"Github"},{"url":"https://cldf.clld.org/examples.html","name":"Examples","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"https://github.com/cldf/pycldf","name":"pycldf"}]},"legacy_ids":["bsg-001529","bsg-s001529"],"name":"FAIRsharing record for: Cross-Linguistic Data Formats","abbreviation":"CLDF","url":"https://fairsharing.org/10.25504/FAIRsharing.8DCv6L","doi":"10.25504/FAIRsharing.8DCv6L","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cross-Linguistic Data Formats (CLDF) is a format for exchanging cross-linguistic data. CLDF provides modular specifications for common data types in language typology and historical linguistics, which are based on a shared data model and a formal ontology. The main type of cross-linguistic data relevant to this format is tabular data that is typically analysed using quantitative (automated) methods or made accessible using software tools like the `clld` framework, such as wordlists, structure datasets and simple dictionaries. Each CLDF dataset is described by a JSON metadata file according to Model for Tabular Data and Metadata on the Web (CSVW) tabular metadata specification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics","Historical Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3046,"pubmed_id":30325347,"title":"Cross-Linguistic Data Formats, advancing data sharing and re-use in comparative linguistics.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.205","authors":"Forkel R,List JM,Greenhill SJ,Rzymski C,Bank S,Cysouw M,Hammarstrom H,Haspelmath M,Kaiping GA,Gray RD","journal":"Sci Data","doi":"10.1038/sdata.2018.205","created_at":"2021-09-30T08:28:15.391Z","updated_at":"2021-09-30T08:28:15.391Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1883,"relation":"undefined"}],"grants":[{"id":7517,"fairsharing_record_id":1472,"organisation_id":1781,"relation":"maintains","created_at":"2021-09-30T09:28:40.445Z","updated_at":"2021-09-30T09:28:40.445Z","grant_id":null,"is_lead":true,"saved_state":{"id":1781,"name":"Max Planck Institue for Evolutionary Anthropology, Leipzig, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1473","type":"fairsharing_records","attributes":{"created_at":"2020-10-13T08:29:20.000Z","updated_at":"2021-11-24T13:18:14.772Z","metadata":{"doi":"10.25504/FAIRsharing.xvfqAC","name":"Open Databases Integration for Materials Design","status":"ready","contacts":[{"contact_name":"Gian-Marco Rignanese","contact_email":"gian-marco.rignanese@uclouvain.be","contact_orcid":"0000-0002-1422-1205"}],"homepage":"https://www.optimade.org","identifier":1473,"description":"Designing new materials suitable for specific applications is a long, complex, and costly process. Researchers think of new ideas based on intuition and experience. Their synthesis and evaluation require a tremendous amount of trial and error. In the last few years, there has been a major game change in materials design. Thanks to the exponential growth of computer power and the development of robust first-principles electronic structure codes, it has become possible to perform large sets of calculations automatically. This is the burgeoning area of high-throughput ab initio computation. Such calculations have been used to create large databases containing the calculated properties of existing and hypothetical materials, many of which have appeared online: - the AFLOW distributed materials property repository - the Harvard Clean Energy Project Database - the Materials Cloud - the Materials Project - the NoMaD (Novel Materials Discovery) Repository - the Open Quantum Materials Database - the Computational Materials Repository - the Data Catalyst Genome - the Materials Platform for Data Science - the Joint Automated Repository for Various Integrated Simulations … The Open Databases Integration for Materials Design (OPTIMADE) consortium aims to make materials databases interoperational by developing a common REST API.","abbreviation":"OPTIMADE","support_links":[{"url":"https://matsci.org/c/optimade/29","name":"OPTIMADE forum on MATSCI","type":"Forum"},{"url":"https://github.com/Materials-Consortia/OPTIMADE/blob/master/optimade.rst","name":"OPTIMADE API specification v1.0.0","type":"Github"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/Materials-Consortia/optimade-python-tools","name":"OPTIMADE Python tools 0.12.1"},{"url":"https://github.com/Materials-Consortia/OPTIMADE-Filter","name":"OPTIMADE filter language parser 0.10.0"}]},"legacy_ids":["bsg-001534","bsg-s001534"],"name":"FAIRsharing record for: Open Databases Integration for Materials Design","abbreviation":"OPTIMADE","url":"https://fairsharing.org/10.25504/FAIRsharing.xvfqAC","doi":"10.25504/FAIRsharing.xvfqAC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Designing new materials suitable for specific applications is a long, complex, and costly process. Researchers think of new ideas based on intuition and experience. Their synthesis and evaluation require a tremendous amount of trial and error. In the last few years, there has been a major game change in materials design. Thanks to the exponential growth of computer power and the development of robust first-principles electronic structure codes, it has become possible to perform large sets of calculations automatically. This is the burgeoning area of high-throughput ab initio computation. Such calculations have been used to create large databases containing the calculated properties of existing and hypothetical materials, many of which have appeared online: - the AFLOW distributed materials property repository - the Harvard Clean Energy Project Database - the Materials Cloud - the Materials Project - the NoMaD (Novel Materials Discovery) Repository - the Open Quantum Materials Database - the Computational Materials Repository - the Data Catalyst Genome - the Materials Platform for Data Science - the Joint Automated Repository for Various Integrated Simulations … The Open Databases Integration for Materials Design (OPTIMADE) consortium aims to make materials databases interoperational by developing a common REST API.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Materials Research","Materials Informatics","Materials Engineering","Solid-State Chemistry","Materials Science","Condensed Matter Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["APIstandard","Computational Materials Science"],"countries":["Belgium","Germany","Lithuania","Sweden","Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1474","type":"fairsharing_records","attributes":{"created_at":"2020-09-16T11:08:31.000Z","updated_at":"2022-07-20T12:37:04.224Z","metadata":{"doi":"10.25504/FAIRsharing.rSuIcM","name":"National Aeronautics and Space Administration Ames Format for Data Exchange","status":"ready","contacts":[{"contact_name":"NASA Earth Science Project Office","contact_email":"ames-format@espo.nasa.gov"}],"homepage":"https://espoarchive.nasa.gov/content/Ames_Format_Overview","identifier":1474,"description":"The National Aeronautics and Space Administration Ames Format for Data Exchange (NASA Ames Format) is composed of ASCII data files that are written in one of nine \"standard\" file formats. The ASCII data file formats were developed at Ames Research Center by R. Stephen Hipskind and Steven E. Gaines in 1990 to standardize the file formats used for in-the-field data exchange during aircraft field experiments. Each ASCII data file consists of a file header, followed by the data records. The file header describes the data and the origin of the file. The data are conceptually divided into Independent Variables and Dependent Variables. The Dependent Variables are further divided into Primary and Auxiliary Variables.","abbreviation":"NASA Ames Format","support_links":[{"url":"https://espoarchive.nasa.gov/content/File_Name_Overview","name":"File Name Overview","type":"Help documentation"},{"url":"https://espoarchive.nasa.gov/archive/help/icartt_format","name":"ICARTT vs Ames formats","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001524","bsg-s001524"],"name":"FAIRsharing record for: National Aeronautics and Space Administration Ames Format for Data Exchange","abbreviation":"NASA Ames Format","url":"https://fairsharing.org/10.25504/FAIRsharing.rSuIcM","doi":"10.25504/FAIRsharing.rSuIcM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Aeronautics and Space Administration Ames Format for Data Exchange (NASA Ames Format) is composed of ASCII data files that are written in one of nine \"standard\" file formats. The ASCII data file formats were developed at Ames Research Center by R. Stephen Hipskind and Steven E. Gaines in 1990 to standardize the file formats used for in-the-field data exchange during aircraft field experiments. Each ASCII data file consists of a file header, followed by the data records. The file header describes the data and the origin of the file. The data are conceptually divided into Independent Variables and Dependent Variables. The Dependent Variables are further divided into Primary and Auxiliary Variables.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geophysics","Earth Science","Remote Sensing"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7518,"fairsharing_record_id":1474,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:40.477Z","updated_at":"2021-09-30T09:28:40.477Z","grant_id":null,"is_lead":true,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1475","type":"fairsharing_records","attributes":{"created_at":"2020-09-11T13:02:52.000Z","updated_at":"2022-07-20T12:25:43.476Z","metadata":{"doi":"10.25504/FAIRsharing.7ti9My","name":"BACPAC Biobehavioral Research Psychosocial Questionnaires and QST Recommendations","status":"ready","contacts":[{"contact_name":"Anna Hoffmeyer","contact_email":"bacpac_dac@unc.edu"}],"homepage":"https://heal.nih.gov/research/clinical-research/back-pain","identifier":1475,"description":"This document includes recommendations for the following domains: Psychosocial Recommendations, Social Adversity and Support, Other Optional Domains, Quantitative Sensory Testing Recommendations.","abbreviation":null,"support_links":[{"url":"BACPAC-NIH@mail.nih.gov","name":"BACPAC Contact","type":"Support email"}],"year_creation":2020},"legacy_ids":["bsg-001521","bsg-s001521"],"name":"FAIRsharing record for: BACPAC Biobehavioral Research Psychosocial Questionnaires and QST Recommendations","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7ti9My","doi":"10.25504/FAIRsharing.7ti9My","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document includes recommendations for the following domains: Psychosocial Recommendations, Social Adversity and Support, Other Optional Domains, Quantitative Sensory Testing Recommendations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Behavioural Biology","Pain Medicine"],"domains":["Behavior","Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7519,"fairsharing_record_id":1475,"organisation_id":650,"relation":"maintains","created_at":"2021-09-30T09:28:40.514Z","updated_at":"2021-09-30T09:28:40.514Z","grant_id":null,"is_lead":false,"saved_state":{"id":650,"name":"Data Integration, Algorithm Development and Operations Management Center (DAC) for BACPAC, UNC Chapel Hill, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7520,"fairsharing_record_id":1475,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:40.563Z","updated_at":"2021-09-30T09:28:40.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1476","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:35:47.075Z","metadata":{"doi":"10.25504/FAIRsharing.w7kfdn","name":"Cardiac Electrophysiology Ontology","status":"deprecated","contacts":[{"contact_name":"Raimond L. Winslow","contact_email":"rwinslow@jhu.edu","contact_orcid":"0000-0003-1719-1651"}],"homepage":"http://bioportal.bioontology.org/ontologies/1142","citations":[],"identifier":1476,"description":"The Cardiac Electrophysiology Ontology contains terms describing single-channel electrophysiological experiments and data obtained using voltage-clamp, current clamp and fluorescence imaging techniques applied at the cell level and multi-channel fluorescence imaging techniques applied at the cell, tissue and whole heart levels. This tool is part of the Cardiovascular Research Grid project (http://wiki.cvrgrid.org/index.php/Main_Page) which is part funded by the NIH. ","abbreviation":"EP","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EP","name":"EP","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology does not seem to be actively maintained, and has not been updated since 2008. It has therefore been marked as deprecated. Please contact us if you have any information concerning the current status of this resource."},"legacy_ids":["bsg-002617","bsg-s002617"],"name":"FAIRsharing record for: Cardiac Electrophysiology Ontology","abbreviation":"EP","url":"https://fairsharing.org/10.25504/FAIRsharing.w7kfdn","doi":"10.25504/FAIRsharing.w7kfdn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cardiac Electrophysiology Ontology contains terms describing single-channel electrophysiological experiments and data obtained using voltage-clamp, current clamp and fluorescence imaging techniques applied at the cell level and multi-channel fluorescence imaging techniques applied at the cell, tissue and whole heart levels. This tool is part of the Cardiovascular Research Grid project (http://wiki.cvrgrid.org/index.php/Main_Page) which is part funded by the NIH. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Electrophysiology"],"domains":["Experimental measurement","Protocol","Study design","Experimentally determined","Cardiovascular disease","Electrocardiography"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","United States"],"publications":[],"licence_links":[],"grants":[{"id":7522,"fairsharing_record_id":1476,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:40.617Z","updated_at":"2021-09-30T09:28:40.617Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9144,"fairsharing_record_id":1476,"organisation_id":1603,"relation":"maintains","created_at":"2022-04-11T12:07:17.330Z","updated_at":"2022-04-11T12:07:17.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":1603,"name":"Johns Hopkins University, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1478","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:08.639Z","metadata":{"doi":"10.25504/FAIRsharing.q9nh66","name":"ENA Sequence Flat File Format","status":"ready","contacts":[{"contact_name":"EBI Helpdesk","contact_email":"support@ebi.ac.uk"}],"homepage":"https://ena-docs.readthedocs.io/en/latest/submit/fileprep/flat-file-example.html","identifier":1478,"description":"ENA Sequence Flat File Format is a standardised plain text format for nucleotide sequences. This format was previously called the EMBL Sequence Flat File Format.","abbreviation":null,"support_links":[{"url":"https://www.ebi.ac.uk/ena/submit/flat-file","name":"Flat File Example","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ena/WebFeat/","name":"Flat File Features and Qualifiers","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ena/submit/sequence-format","name":"Assembled and Annotated Sequences","type":"Help documentation"}],"year_creation":1980},"legacy_ids":["bsg-000226","bsg-s000226"],"name":"FAIRsharing record for: ENA Sequence Flat File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.q9nh66","doi":"10.25504/FAIRsharing.q9nh66","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ENA Sequence Flat File Format is a standardised plain text format for nucleotide sequences. This format was previously called the EMBL Sequence Flat File Format.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12439}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Genetics"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2327,"relation":"undefined"}],"grants":[{"id":7526,"fairsharing_record_id":1478,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:40.760Z","updated_at":"2021-09-30T09:28:40.760Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1479","type":"fairsharing_records","attributes":{"created_at":"2021-01-31T20:37:00.000Z","updated_at":"2022-07-20T09:37:36.303Z","metadata":{"doi":"10.25504/FAIRsharing.46e1e9","name":"Proteomics Standards Initiative Extended Fasta Format","status":"ready","contacts":[{"contact_name":"Eric Deutsch","contact_email":"edeutsch@systemsbiology.org"}],"homepage":"http://psidev.info/peff","citations":[{"doi":"10.1021/acs.jproteome.9b00064","pubmed_id":31081335,"publication_id":116}],"identifier":1479,"description":"The PSI Extended Fasta Format (PEFF) is a unified format for protein and nucleotide sequence databases to be used by sequence search engines and other associated tools (spectra library search tools, sequence alignment software, data repositories, etc). This format enables consistent extraction, display and processing of information such as protein/nucleotide sequence database entry identifier, description, taxonomy, etc. across software platforms. It also allows the representation of structural annotations such as post-translational modifications, mutations and other processing events. The proposed format has the form of a plain text file that extends the formalism of the individual sequence entries as presented in the FASTA format and that includes a header of meta data to describe relevant information about the database(s) from which the sequences have been obtained.","abbreviation":"PEFF","support_links":[{"url":"https://github.com/HUPO-PSI/PEFF","name":"GitHub Project","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"http://psidev.info/peff","name":"Tools Consuming PEFF"}]},"legacy_ids":["bsg-001588","bsg-s001588"],"name":"FAIRsharing record for: Proteomics Standards Initiative Extended Fasta Format","abbreviation":"PEFF","url":"https://fairsharing.org/10.25504/FAIRsharing.46e1e9","doi":"10.25504/FAIRsharing.46e1e9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PSI Extended Fasta Format (PEFF) is a unified format for protein and nucleotide sequence databases to be used by sequence search engines and other associated tools (spectra library search tools, sequence alignment software, data repositories, etc). This format enables consistent extraction, display and processing of information such as protein/nucleotide sequence database entry identifier, description, taxonomy, etc. across software platforms. It also allows the representation of structural annotations such as post-translational modifications, mutations and other processing events. The proposed format has the form of a plain text file that extends the formalism of the individual sequence entries as presented in the FASTA format and that includes a header of meta data to describe relevant information about the database(s) from which the sequences have been obtained.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12136}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Proteogenomics"],"domains":["Nuclear Magnetic Resonance (NMR) spectroscopy","Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":116,"pubmed_id":31081335,"title":"Proteomics Standards Initiative Extended FASTA Format.","year":2019,"url":"http://doi.org/10.1021/acs.jproteome.9b00064","authors":"Binz PA,Shofstahl J,Vizcaino JA,Barsnes H,Chalkley RJ,Menschaert G,Alpi E,Clauser K,Eng JK,Lane L,Seymour SL,Sanchez LFH,Mayer G,Eisenacher M,Perez-Riverol Y,Kapp EA,Mendoza L,Baker PR,Collins A,Van Den Bossche T,Deutsch EW","journal":"J Proteome Res","doi":"10.1021/acs.jproteome.9b00064","created_at":"2021-09-30T08:22:32.855Z","updated_at":"2021-09-30T08:22:32.855Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1557,"relation":"undefined"}],"grants":[{"id":7527,"fairsharing_record_id":1479,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:28:40.784Z","updated_at":"2021-09-30T09:28:40.784Z","grant_id":null,"is_lead":true,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1480","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-06T11:33:32.342Z","metadata":{"doi":"10.25504/FAIRsharing.hxvt6c","name":"MDL Molfile Format","status":"ready","contacts":[],"homepage":"https://discover.3ds.com/ctfile-documentation-request-form","citations":[],"identifier":1480,"description":"An MDL Molfile is a file format for holding information about the atoms, bonds, connectivity and coordinates of a molecule. The molfile consists of some header information, the Connection Table (CT) containing atom info, then bond connections and types, followed by sections for more complex information. The molfile is sufficiently common that most, if not all, cheminformatics software systems/applications are able to read the format, though not always to the same degree. It is also supported by some computational software such as Mathematica. The current de facto standard version is molfile V2000, although, more recently, the V3000 format has been circulating widely enough to present a potential compatibility issue for those applications that are not yet V3000-capable. Please note that this format is only available after registration on the Dassault Systems website.","abbreviation":null,"support_links":[{"url":"https://en.wikipedia.org/wiki/Chemical_table_file","name":"Wikipedia entry (incl attribution for description)","type":"Wikipedia"}],"year_creation":1992},"legacy_ids":["bsg-000247","bsg-s000247"],"name":"FAIRsharing record for: MDL Molfile Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.hxvt6c","doi":"10.25504/FAIRsharing.hxvt6c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An MDL Molfile is a file format for holding information about the atoms, bonds, connectivity and coordinates of a molecule. The molfile consists of some header information, the Connection Table (CT) containing atom info, then bond connections and types, followed by sections for more complex information. The molfile is sufficiently common that most, if not all, cheminformatics software systems/applications are able to read the format, though not always to the same degree. It is also supported by some computational software such as Mathematica. The current de facto standard version is molfile V2000, although, more recently, the V3000 format has been circulating widely enough to present a potential compatibility issue for those applications that are not yet V3000-capable. Please note that this format is only available after registration on the Dassault Systems website.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10853},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11714},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11983}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity","X-ray crystallography assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1707,"pubmed_id":null,"title":"Description of several chemical-structure file formats used by computer-programs developed at Molecular Design Limited","year":1992,"url":"http://doi.org/10.1021/ci00007a012","authors":"Dalby A, Nourse JG, Hounshell WD, Gushurst Aki, Grier DL, Leland BA, Laufer J","journal":"Journal of Chemical Information and Computer Sciences","doi":"10.1021/ci00007a012","created_at":"2021-09-30T08:25:31.287Z","updated_at":"2021-09-30T08:25:31.287Z"}],"licence_links":[],"grants":[{"id":7528,"fairsharing_record_id":1480,"organisation_id":5,"relation":"maintains","created_at":"2021-09-30T09:28:40.809Z","updated_at":"2024-02-06T11:31:22.457Z","grant_id":null,"is_lead":true,"saved_state":{"id":5,"name":"3DS Dassault Systemes","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1481","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T16:09:12.000Z","updated_at":"2023-09-29T11:55:03.040Z","metadata":{"doi":"10.25504/FAIRsharing.7407ba","name":"ISO 20387:2018 Biotechnology — Biobanking — General requirements for biobanking","status":"ready","contacts":[{"contact_name":"Mrs. Dipl.-Ing Lena Krieger","contact_email":"lena.krieger@din.de"}],"homepage":"https://www.iso.org/standard/67888.html","citations":[],"identifier":1481,"description":"This document specifies general requirements for the competence, impartiality and consistent operation of biobanks including quality control requirements to ensure biological material and data collections of appropriate quality. ISO 20387:2018 is applicable to all organizations performing biobanking, including biobanking of biological material from multicellular organisms (e.g. human, animal, fungus and plant) and microorganisms for research and development. Biobank users, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others can also use this document in confirming or recognizing the competence of biobanks. This document does not apply to biological material intended for food/feed production, laboratories undertaking analysis for food/feed production, and/or therapeutic use.","abbreviation":"ISO 20387:2018","year_creation":2018},"legacy_ids":["bsg-001592","bsg-s001592"],"name":"FAIRsharing record for: ISO 20387:2018 Biotechnology — Biobanking — General requirements for biobanking","abbreviation":"ISO 20387:2018","url":"https://fairsharing.org/10.25504/FAIRsharing.7407ba","doi":"10.25504/FAIRsharing.7407ba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document specifies general requirements for the competence, impartiality and consistent operation of biobanks including quality control requirements to ensure biological material and data collections of appropriate quality. ISO 20387:2018 is applicable to all organizations performing biobanking, including biobanking of biological material from multicellular organisms (e.g. human, animal, fungus and plant) and microorganisms for research and development. Biobank users, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others can also use this document in confirming or recognizing the competence of biobanks. This document does not apply to biological material intended for food/feed production, laboratories undertaking analysis for food/feed production, and/or therapeutic use.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12140}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medical Biotechnology","Biotechnology"],"domains":["Biobank","Legal regulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":484,"relation":"undefined"}],"grants":[{"id":7529,"fairsharing_record_id":1481,"organisation_id":2715,"relation":"maintains","created_at":"2021-09-30T09:28:40.836Z","updated_at":"2021-09-30T09:28:40.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":2715,"name":"Technical Committee 276, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10945,"fairsharing_record_id":1481,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:51:24.935Z","updated_at":"2023-09-27T14:51:24.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1482","type":"fairsharing_records","attributes":{"created_at":"2020-08-05T10:40:47.000Z","updated_at":"2024-01-28T15:57:37.539Z","metadata":{"doi":"10.25504/FAIRsharing.S6BoUk","name":"w3id.org","status":"ready","contacts":[{"contact_name":"W3C Permanent Identifier Community Group","contact_email":"public-perma-id@w3.org"}],"homepage":"https://w3id.org/","citations":[],"identifier":1482,"description":"A secure, permanent URL re-direction service for Web applications run by the W3C Permanent Identifier Community Group. Web applications that deal with Linked Data often need to specify and use URLs that are very stable. They utilize services such as this one to ensure that applications using their URLs will always be re-directed to a working website. This website operates like a switchboard, connecting requests for information with the true location of the information on the Web. The switchboard can be reconfigured to point to a new location if the old location stops working.","abbreviation":"w3id","support_links":[{"url":"http://lists.w3.org/Archives/Public/public-perma-id/","name":"Public mailing list for the Permanent Identifier Community Group","type":"Mailing list"},{"url":"https://github.com/perma-id","name":"GitHub Project","type":"Github"},{"url":"https://www.w3.org/community/perma-id/","name":"W3C Permanent Identifier Community Group","type":"Help documentation"},{"url":"https://www.w3.org/community/perma-id/wiki/","name":"W3C Permanent Identifier Community Group Wiki","type":"Help documentation"},{"url":"https://www.w3.org/community/perma-id/wiki/","name":"Community Wiki","type":"Wikipedia"}],"year_creation":2013,"regular_expression":"^(https):\\/\\/w3id\\.org\\/[^ \"]+$ "},"legacy_ids":["bsg-001516","bsg-s001516"],"name":"FAIRsharing record for: w3id.org","abbreviation":"w3id","url":"https://fairsharing.org/10.25504/FAIRsharing.S6BoUk","doi":"10.25504/FAIRsharing.S6BoUk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A secure, permanent URL re-direction service for Web applications run by the W3C Permanent Identifier Community Group. Web applications that deal with Linked Data often need to specify and use URLs that are very stable. They utilize services such as this one to ensure that applications using their URLs will always be re-directed to a working website. This website operates like a switchboard, connecting requests for information with the true location of the information on the Web. The switchboard can be reconfigured to point to a new location if the old location stops working.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17386}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems"],"domains":["Resource metadata","Centrally registered identifier","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7530,"fairsharing_record_id":1482,"organisation_id":3204,"relation":"maintains","created_at":"2021-09-30T09:28:40.869Z","updated_at":"2021-09-30T09:28:40.869Z","grant_id":null,"is_lead":true,"saved_state":{"id":3204,"name":"W3C Permanent Identifier Community Group","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1483","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:55.004Z","metadata":{"doi":"10.25504/FAIRsharing.wvpgwn","name":"Evidence and Conclusion Ontology","status":"ready","contacts":[{"contact_name":"Marcos Chibucos","contact_email":"mchibucos@som.umaryland.edu","contact_orcid":"0000-0001-9586-0780"}],"homepage":"https://evidenceontology.org/","citations":[{"doi":"10.1093/nar/gky1036","pubmed_id":30407590,"publication_id":964}],"identifier":1483,"description":"The Evidence and Conclusion Ontology (ECO) contains terms that describe types of evidence and assertion methods. ECO terms are used in the process of biocuration to capture the evidence that supports biological assertions (e.g. gene product X has function Y as supported by evidence Z). Capture of this information allows tracking of annotation provenance, establishment of quality control measures, and query of eviden","abbreviation":"ECO","support_links":[{"url":"https://github.com/evidenceontology/evidenceontology/wiki","name":"Wiki","type":"Github"},{"url":"http://obofoundry.github.io/ontology/eco.html","name":"OBO Information","type":"Github"},{"url":"https://evidenceontology.org/docs/","name":"Resources","type":"Help documentation"},{"url":"https://github.com/evidenceontology/evidenceontology","name":"GitHub Project","type":"Github"}],"year_creation":2000,"associated_tools":[{"url":"https://github.com/evidenceontology/evidenceontology/issues","name":"term tracker"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ECO","name":"ECO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/eco.html","name":"eco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000085","bsg-s000085"],"name":"FAIRsharing record for: Evidence and Conclusion Ontology","abbreviation":"ECO","url":"https://fairsharing.org/10.25504/FAIRsharing.wvpgwn","doi":"10.25504/FAIRsharing.wvpgwn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Evidence and Conclusion Ontology (ECO) contains terms that describe types of evidence and assertion methods. ECO terms are used in the process of biocuration to capture the evidence that supports biological assertions (e.g. gene product X has function Y as supported by evidence Z). Capture of this information allows tracking of annotation provenance, establishment of quality control measures, and query of eviden","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11140},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11926},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16970}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Biology","Life Science"],"domains":["Evidence","Resource metadata","Biological sample annotation","Text mining","Assay","Curated information","Digital curation","Study design","Literature curation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":797,"pubmed_id":14992503,"title":"An evidence ontology for use in pathway/genome databases.","year":2004,"url":"http://doi.org/10.1142/9789812704856_0019","authors":"Karp PD,Paley S,Krieger CJ,Zhang P","journal":"Pac Symp Biocomput","doi":"10.1142/9789812704856_0019","created_at":"2021-09-30T08:23:47.878Z","updated_at":"2021-09-30T08:23:47.878Z"},{"id":964,"pubmed_id":30407590,"title":"ECO, the Evidence \u0026 Conclusion Ontology: community standard for evidence information.","year":2018,"url":"http://doi.org/10.1093/nar/gky1036","authors":"Giglio M,Tauber R,Nadendla S,Munro J,Olley D,Ball S,Mitraka E,Schriml LM,Gaudet P,Hobbs ET,Erill I,Siegele DA,Hu JC,Mungall C,Chibucos MC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1036","created_at":"2021-09-30T08:24:06.686Z","updated_at":"2021-09-30T11:28:56.350Z"},{"id":2320,"pubmed_id":27812948,"title":"The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-3743-1_18","authors":"Chibucos MC,Siegele DA,Hu JC,Giglio M","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-3743-1_18","created_at":"2021-09-30T08:26:44.711Z","updated_at":"2021-09-30T08:26:44.711Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":33,"relation":"undefined"}],"grants":[{"id":7532,"fairsharing_record_id":1483,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:40.945Z","updated_at":"2021-09-30T09:29:46.219Z","grant_id":394,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458400","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7531,"fairsharing_record_id":1483,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:40.907Z","updated_at":"2021-09-30T09:29:00.218Z","grant_id":49,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41-HG002223","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7933,"fairsharing_record_id":1483,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:55.260Z","updated_at":"2021-09-30T09:29:55.314Z","grant_id":469,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM089636","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7533,"fairsharing_record_id":1483,"organisation_id":1381,"relation":"maintains","created_at":"2021-09-30T09:28:40.981Z","updated_at":"2021-09-30T09:28:40.981Z","grant_id":null,"is_lead":true,"saved_state":{"id":1381,"name":"Institute for Genome Sciences, University of Maryland, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7535,"fairsharing_record_id":1483,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:41.062Z","updated_at":"2021-09-30T09:28:55.143Z","grant_id":15,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U41HG008735","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7534,"fairsharing_record_id":1483,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:28:41.023Z","updated_at":"2021-09-30T09:30:35.254Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8135,"fairsharing_record_id":1483,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:08.389Z","updated_at":"2021-09-30T09:31:08.447Z","grant_id":1035,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R01-HG02729- 01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1484","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-06-30T13:26:37.856Z","metadata":{"doi":"10.25504/FAIRsharing.9rhr9j","name":"Eukaryotic Pathogen, Host \u0026 Vector Genomics Resource Ontology","status":"ready","contacts":[{"contact_name":"Jie Zheng","contact_email":"jiezheng@pennmedicine.upenn.edu"},{"contact_name":"Chris Stoeckert","contact_email":"stoeckrt@pennmedicine.upenn.edu","contact_orcid":null}],"homepage":"https://github.com/VEuPathDB-ontology/VEuPathDB-ontology","citations":[],"identifier":1484,"description":"The VEuPathDB ontology is an application ontology developed to encode our understanding of what data is about in the public resources developed and maintained by the Eukaryotic Pathogen, Host and Vector Genomics Resource. The ontology was built based on the Ontology of Biomedical Investigations (OBI) with integration of other OBO ontologies such as PATO, OGMS, DO, etc. as needed for coverage. Currently the VEuPath ontology is primarily intended to be used for support of the VEuPathDB sites. Terms with VEuPathDB ontology IDs that are not specific to VEuPathDB will be submitted to OBO Foundry ontologies for subsequent import and replacement of those terms when they are available.","abbreviation":"VEuPathDB Ontology","support_links":[{"url":"https://github.com/VEuPathDB-ontology/VEuPathDB-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/eupath","name":"VEuPathDB Ontology in OLS","portal":"OLS"},{"url":"https://obofoundry.org/ontology/eupath.html","name":"OBO Foundry Record","portal":"OBO Foundry"},{"url":"https://bioportal.bioontology.org/ontologies/EUPATH","name":"BioPortal Record","portal":"BioPortal"}]},"legacy_ids":["bsg-000974","bsg-s000974"],"name":"FAIRsharing record for: Eukaryotic Pathogen, Host \u0026 Vector Genomics Resource Ontology","abbreviation":"VEuPathDB Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.9rhr9j","doi":"10.25504/FAIRsharing.9rhr9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VEuPathDB ontology is an application ontology developed to encode our understanding of what data is about in the public resources developed and maintained by the Eukaryotic Pathogen, Host and Vector Genomics Resource. The ontology was built based on the Ontology of Biomedical Investigations (OBI) with integration of other OBO ontologies such as PATO, OGMS, DO, etc. as needed for coverage. Currently the VEuPath ontology is primarily intended to be used for support of the VEuPathDB sites. Terms with VEuPathDB ontology IDs that are not specific to VEuPathDB will be submitted to OBO Foundry ontologies for subsequent import and replacement of those terms when they are available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Biomedical Science","Epidemiology","Population Genetics"],"domains":["Microbiome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2562,"relation":"applies_to_content"}],"grants":[{"id":8717,"fairsharing_record_id":1484,"organisation_id":3113,"relation":"maintains","created_at":"2022-01-08T10:38:56.343Z","updated_at":"2022-01-08T10:38:56.343Z","grant_id":null,"is_lead":true,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1485","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:26.773Z","metadata":{"doi":"10.25504/FAIRsharing.x39h5y","name":"Experimental Conditions Ontology","status":"ready","contacts":[{"contact_name":"Mary Shimoyama","contact_email":"shimoyama@mcw.edu","contact_orcid":"0000-0003-1176-0796"}],"homepage":"https://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=XCO:0000000","identifier":1485,"description":"The Experimental Conditions Ontology is designed to represent the conditions under which physiological and morphological measurements are made both in the clinic and in studies involving humans or model organisms.","abbreviation":"XCO","support_links":[{"url":"http://rgd.mcw.edu/contact/index.shtml","name":"Contact Form","type":"Contact form"},{"url":"https://twitter.com/ratgenome","name":"@ratgenome","type":"Twitter"}],"year_creation":2011,"associated_tools":[{"url":"https://rgd.mcw.edu/rgdweb/ontology/search.html","name":"RGD Ontology Search"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/XCO","name":"XCO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/xco.html","name":"xco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002715","bsg-s002715"],"name":"FAIRsharing record for: Experimental Conditions Ontology","abbreviation":"XCO","url":"https://fairsharing.org/10.25504/FAIRsharing.x39h5y","doi":"10.25504/FAIRsharing.x39h5y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Experimental Conditions Ontology is designed to represent the conditions under which physiological and morphological measurements are made both in the clinic and in studies involving humans or model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11245},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12024}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Experimental measurement","Assay","Protocol","Study design","Experimentally determined"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[{"id":891,"pubmed_id":22654893,"title":"Three ontologies to define phenotype measurement data.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00087","authors":"Shimoyama M,Nigam R,McIntosh LS,Nagarajan R,Rice T,Rao DC,Dwinell MR","journal":"Front Genet","doi":"10.3389/fgene.2012.00087","created_at":"2021-09-30T08:23:58.429Z","updated_at":"2021-09-30T08:23:58.429Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1088,"relation":"undefined"}],"grants":[{"id":7536,"fairsharing_record_id":1485,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:41.095Z","updated_at":"2021-09-30T09:28:41.095Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7538,"fairsharing_record_id":1485,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:28:41.169Z","updated_at":"2021-09-30T09:28:41.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7539,"fairsharing_record_id":1485,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:41.202Z","updated_at":"2021-09-30T09:29:46.388Z","grant_id":395,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094286","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7955,"fairsharing_record_id":1485,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:03.245Z","updated_at":"2021-09-30T09:30:03.305Z","grant_id":531,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7988,"fairsharing_record_id":1485,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:15.823Z","updated_at":"2021-09-30T09:30:15.874Z","grant_id":626,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL064541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9270,"fairsharing_record_id":1485,"organisation_id":2468,"relation":"maintains","created_at":"2022-04-11T12:07:26.763Z","updated_at":"2022-04-11T12:07:26.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":2468,"name":"RS Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1486","type":"fairsharing_records","attributes":{"created_at":"2015-06-29T14:11:53.000Z","updated_at":"2022-05-16T12:34:24.701Z","metadata":{"doi":"10.25504/FAIRsharing.2tpx4v","name":"Global Alliance for Genomics and Health Metadata Model","status":"deprecated","homepage":"https://github.com/ga4gh/schemas","identifier":1486,"description":"The metadata model for GA4GH, an international coalition of both public and private interested parties, formed to enable the sharing of genomic and clinical data.","abbreviation":"GA4GH","support_links":[{"url":"https://github.com/ga4gh/schemas/blob/master/src/main/proto/ga4gh/metadata.proto","name":"Schema file","type":"Github"}],"deprecation_date":"2021-02-07","deprecation_reason":"This resource was retired, together with its larger project, on January 24, 2018"},"legacy_ids":["bsg-000599","bsg-s000599"],"name":"FAIRsharing record for: Global Alliance for Genomics and Health Metadata Model","abbreviation":"GA4GH","url":"https://fairsharing.org/10.25504/FAIRsharing.2tpx4v","doi":"10.25504/FAIRsharing.2tpx4v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The metadata model for GA4GH, an international coalition of both public and private interested parties, formed to enable the sharing of genomic and clinical data.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10998},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11196},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12478}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Anatomy","Genomics","Health Science","Life Science","Biomedical Science"],"domains":["Biological sample annotation","Geographical location","Molecular entity","Cell line","Cell","Sample preparation for assay","Protocol"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Austria","Belgium","Brazil","Bulgaria","Canada","Chile","China","Czech Republic","Denmark","Estonia","Finland","France","Germany","Greece","Hong Kong","Hungary","Iceland","India","Ireland","Israel","Italy","Japan","Latvia","Liechtenstein","Lithuania","Luxembourg","Mexico","Morocco","Netherlands","New Zealand","Norway","Panama","Poland","Portugal","Russia","Singapore","Slovakia","Slovenia","South Africa","South Korea","Spain","Sweden","Switzerland","Taiwan","Turkey","United Arab Emirates","United Kingdom","United States","European Union"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":509,"relation":"undefined"}],"grants":[{"id":9496,"fairsharing_record_id":1486,"organisation_id":116,"relation":"maintains","created_at":"2022-05-05T13:13:31.240Z","updated_at":"2022-05-05T13:13:31.240Z","grant_id":null,"is_lead":true,"saved_state":{"id":116,"name":"Global Alliance for Genomics and Health","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1487","type":"fairsharing_records","attributes":{"created_at":"2021-01-05T14:17:38.000Z","updated_at":"2023-08-02T07:58:42.003Z","metadata":{"doi":"10.25504/FAIRsharing.ec6bec","name":"Scientific Variables Ontology","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"geo.ontology.help@gmail.com"}],"homepage":"https://scientificvariablesontology.org/","citations":[],"identifier":1487,"description":"The Scientific Variables Ontology (SVO) outlines the required and optional components for creating machine-interpretable scientific variable concepts. SVO comprises an upper ontology (SVU) that contains a set of modular conceptual categories and relationships between them, as well as a lower ontology (SVL) that contains instances within each category. SVL can be manually or automatically populated with concepts from a wide range of fields to create custom variables. Originally, SVO was created to express the set of CSDMS standard names in ontology form. The current ontology is designed to be terminology agnostic and can be augmented to include an unlimited number of synonymous terms. SVO is designed to balance a linguistic model of the world with a scientific model. SVO attempts to provide a template for retrieving information about a variable from free-form text. One of the primary goals of SVO is to work towards automated ontology generation of scientific variables following ideas laid out in an upper ontology of higher level concepts.","abbreviation":"SVO","support_links":[{"url":"maria.stoica@colorado.edu","name":"Maria Stoica","type":"Support email"},{"url":"https://scientificvariablesontology.org/new_site/documentation.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://scientificvariablesontology.org/new_site/documentation.html","name":"Documentation (Current)","type":"Help documentation"},{"url":"https://scientificvariablesontology.org/new_site/tutorial_create_variable_manually.html","name":"Tutorial","type":"Training documentation"},{"url":"https://scientificvariablesontology.org/","name":"Old version of the website","type":"Other"}],"year_creation":2019,"associated_tools":[{"url":"https://github.com/mariutzica/SVO_website","name":"Github repository"}]},"legacy_ids":["bsg-001559","bsg-s001559"],"name":"FAIRsharing record for: Scientific Variables Ontology","abbreviation":"SVO","url":"https://fairsharing.org/10.25504/FAIRsharing.ec6bec","doi":"10.25504/FAIRsharing.ec6bec","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Scientific Variables Ontology (SVO) outlines the required and optional components for creating machine-interpretable scientific variable concepts. SVO comprises an upper ontology (SVU) that contains a set of modular conceptual categories and relationships between them, as well as a lower ontology (SVL) that contains instances within each category. SVL can be manually or automatically populated with concepts from a wide range of fields to create custom variables. Originally, SVO was created to express the set of CSDMS standard names in ontology form. The current ontology is designed to be terminology agnostic and can be augmented to include an unlimited number of synonymous terms. SVO is designed to balance a linguistic model of the world with a scientific model. SVO attempts to provide a template for retrieving information about a variable from free-form text. One of the primary goals of SVO is to work towards automated ontology generation of scientific variables following ideas laid out in an upper ontology of higher level concepts.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Natural Science"],"domains":["Experimental measurement","Report","Assay","Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"SVO Copyright Certification","licence_id":763,"licence_url":"https://www.copyrighted.com/website/RbKPMeXwqZnxOikK?url=https%3A%2F%2Fgeoscienceontology.org%2Fdocumentation%2Findex.html","link_id":798,"relation":"undefined"}],"grants":[{"id":7541,"fairsharing_record_id":1487,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:28:41.275Z","updated_at":"2021-09-30T09:28:41.275Z","grant_id":null,"is_lead":true,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1488","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-12T16:28:57.305Z","metadata":{"doi":"10.25504/FAIRsharing.284e1z","name":"Ontology for Biomedical Investigations","status":"ready","contacts":[{"contact_name":"Bjoern Peters","contact_email":"bpeters@lji.org","contact_orcid":"0000-0002-8457-6693"}],"homepage":"http://obi-ontology.org/","citations":[{"doi":"10.1371/journal.pone.0154556","pubmed_id":27128319,"publication_id":2400}],"identifier":1488,"description":"The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI fosters clear communication about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more.","abbreviation":"OBI","support_links":[{"url":"http://purl.obolibrary.org/obo/obi/tracker","name":"GitHub Issue Tracker","type":"Forum"},{"url":"obi-users@googlegroups.com","name":"OBI Users Mailing List","type":"Mailing list"},{"url":"https://lists.sourceforge.net/lists/listinfo/obi-devel","name":"OBI Development Mailing List","type":"Mailing list"},{"url":"https://docs.google.com/document/d/1eEutJAG56gncTsWf2sAqHa4a9pQAuCbhsg_kmbF78tw/edit#heading=h.5bzhi4qntq5l","name":"OBI Development Call Agenda","type":"Help documentation"},{"url":"http://obi-ontology.org/page/OBI_term_guidelines","name":"OBI Term Guidelines","type":"Help documentation"},{"url":"https://github.com/obi-ontology/obi/wiki","name":"OBI Wiki","type":"Github"},{"url":"https://github.com/obi-ontology/obi","name":"GitHub Repository","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBI","name":"OBI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/obi.html","name":"obi","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000070","bsg-s000070"],"name":"FAIRsharing record for: Ontology for Biomedical Investigations","abbreviation":"OBI","url":"https://fairsharing.org/10.25504/FAIRsharing.284e1z","doi":"10.25504/FAIRsharing.284e1z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI fosters clear communication about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17360},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17564},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10867},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11189},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11261},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11925},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12394},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16987}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Life Science","Biomedical Science"],"domains":["Reagent","Report","Assay","Protocol","Device","Data transformation","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":993,"pubmed_id":23734660,"title":"Query enhancement through the practical application of ontology: the IEDB and OBI.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-S1-S6","authors":"Vita R,Overton JA,Greenbaum JA,Sette A,Peters B","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-S1-S6","created_at":"2021-09-30T08:24:09.921Z","updated_at":"2021-09-30T08:24:09.921Z"},{"id":1680,"pubmed_id":22180825,"title":"Minimum Information about a Genotyping Experiment (MIGEN).","year":2011,"url":"http://doi.org/10.4056/sigs.1994602","authors":"Huang J,Mirel D,Pugh E,Xing C,Robinson PN,Pertsemlidis A,Ding L,Kozlitina J,Maher J,Rios J,Story M,Marthandan N,Scheuermann RH","journal":"Stand Genomic Sci","doi":"10.4056/sigs.1994602","created_at":"2021-09-30T08:25:28.196Z","updated_at":"2021-09-30T08:25:28.196Z"},{"id":2002,"pubmed_id":25632945,"title":"Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach.","year":2015,"url":"http://doi.org/10.1093/database/bau132","authors":"Rocca-Serra P,Walls R,Parnell J,Gallery R,Zheng J,Sansone SA,Gonzalez-Beltran A","journal":"Database (Oxford)","doi":"10.1093/database/bau132","created_at":"2021-09-30T08:26:05.449Z","updated_at":"2021-09-30T08:26:05.449Z"},{"id":2400,"pubmed_id":27128319,"title":"The Ontology for Biomedical Investigations.","year":2016,"url":"http://doi.org/10.1371/journal.pone.0154556","authors":"Bandrowski A, Brinkman R, Brochhausen M et al","journal":"PLoS One","doi":"10.1371/journal.pone.0154556","created_at":"2021-09-30T08:26:54.661Z","updated_at":"2021-09-30T08:26:54.661Z"},{"id":3026,"pubmed_id":20626927,"title":"Modeling biomedical experimental processes with OBI.","year":2010,"url":"http://doi.org/10.1186/2041-1480-1-S1-S7","authors":"Brinkman RR,Courtot M,Derom D,Fostel JM,He Y,Lord P,Malone J,Parkinson H,Peters B,Rocca-Serra P,Ruttenberg A,Sansone SA,Soldatova LN,Stoeckert CJ Jr,Turner JA,Zheng J","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-1-S1-S7","created_at":"2021-09-30T08:28:12.983Z","updated_at":"2021-09-30T08:28:12.983Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":799,"relation":"undefined"}],"grants":[{"id":7550,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:41.577Z","updated_at":"2021-09-30T09:28:59.917Z","grant_id":47,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201200010C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7549,"fairsharing_record_id":1488,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:41.548Z","updated_at":"2021-09-30T09:30:30.687Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7542,"fairsharing_record_id":1488,"organisation_id":946,"relation":"funds","created_at":"2021-09-30T09:28:41.301Z","updated_at":"2021-09-30T09:30:50.400Z","grant_id":895,"is_lead":false,"saved_state":{"id":946,"name":"European Network of Excellence (ENFIN), Hinxton, Cambridgeshire, UK","grant":"503630","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7899,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:33.927Z","updated_at":"2021-09-30T09:29:33.993Z","grant_id":303,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400030C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7912,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:40.492Z","updated_at":"2021-09-30T09:29:40.563Z","grant_id":354,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01GM093132","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8208,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:32.508Z","updated_at":"2021-09-30T09:31:32.589Z","grant_id":1217,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41 HG003619","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8447,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:40.827Z","updated_at":"2021-09-30T09:32:40.882Z","grant_id":1730,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G000638/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7543,"fairsharing_record_id":1488,"organisation_id":2206,"relation":"maintains","created_at":"2021-09-30T09:28:41.326Z","updated_at":"2021-09-30T09:28:41.326Z","grant_id":null,"is_lead":true,"saved_state":{"id":2206,"name":"OBI consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7544,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:41.356Z","updated_at":"2021-09-30T09:29:38.594Z","grant_id":339,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E025080/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7547,"fairsharing_record_id":1488,"organisation_id":343,"relation":"funds","created_at":"2021-09-30T09:28:41.480Z","updated_at":"2021-09-30T09:29:47.972Z","grant_id":409,"is_lead":false,"saved_state":{"id":343,"name":"California Institute for Regenerative Medicine","grant":"GC1R-06673-B","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7546,"fairsharing_record_id":1488,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:41.440Z","updated_at":"2021-09-30T09:29:58.697Z","grant_id":496,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/K030582/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7545,"fairsharing_record_id":1488,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:41.403Z","updated_at":"2021-09-30T09:30:33.472Z","grant_id":763,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"H2020-EU.1.4.1.3 654241","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7548,"fairsharing_record_id":1488,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:41.511Z","updated_at":"2021-09-30T09:29:46.236Z","grant_id":394,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458400","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7976,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:12.002Z","updated_at":"2021-09-30T09:30:12.057Z","grant_id":595,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/C008200/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8016,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:24.098Z","updated_at":"2021-09-30T09:30:24.195Z","grant_id":696,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8054,"fairsharing_record_id":1488,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:30:40.187Z","updated_at":"2021-09-30T09:30:40.244Z","grant_id":813,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/M015661/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8060,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:42.029Z","updated_at":"2021-09-30T09:30:42.078Z","grant_id":828,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024101/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8107,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:00.222Z","updated_at":"2021-09-30T09:31:00.276Z","grant_id":974,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000917/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8116,"fairsharing_record_id":1488,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:02.389Z","updated_at":"2021-09-30T09:31:02.440Z","grant_id":989,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"H2020-EU.3.1 634107","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8125,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:05.522Z","updated_at":"2021-09-30T09:31:05.566Z","grant_id":1012,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U19AI118626","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8204,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:30.724Z","updated_at":"2021-09-30T09:31:30.781Z","grant_id":1205,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 DK 072473","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1489","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-10T19:50:41.717Z","metadata":{"doi":"10.25504/FAIRsharing.zk8p4g","name":"Open Microscopy Environment eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"Jason Swedlow","contact_email":"j.r.swedlow@dundee.ac.uk","contact_orcid":"0000-0002-2198-1958"}],"homepage":"https://docs.openmicroscopy.org/ome-model/6.2.2/ome-xml/index.html","citations":[],"identifier":1489,"description":"OME develops open-source software and data format standards for the storage and manipulation of biological microscopy data. It is a joint project between universities, research establishments, industry and the software development community. The purpose of OME-XML is to provide a rich, extensible way to save information concerning microscopy experiments and the images acquired therein. OME-XML as a file format is superseded by OME-TIFF, which is the preferred container format for image data making use of the OME Data Model.","abbreviation":"OME-XML","support_links":[{"url":"http://blog.openmicroscopy.org","name":"Open Microscopy Blog","type":"Blog/News"},{"url":"https://trac.openmicroscopy.org/ome","name":"Issue Tracker","type":"Forum"},{"url":"http://lists.openmicroscopy.org.uk/mailman/listinfo/ome-devel/devel","name":"OME-XML Mailing List","type":"Mailing list"},{"url":"http://www.openmicroscopy.org/site/support/ome-model/specifications/index.html","name":"OME-XML Specification (html)","type":"Help documentation"},{"url":"http://www.openmicroscopy.org/site/support/ome-model/","name":"OME Data Model and File Formats Documentation","type":"Help documentation"}],"year_creation":2005,"associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}]},"legacy_ids":["bsg-000107","bsg-s000107"],"name":"FAIRsharing record for: Open Microscopy Environment eXtensible Markup Language","abbreviation":"OME-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.zk8p4g","doi":"10.25504/FAIRsharing.zk8p4g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OME develops open-source software and data format standards for the storage and manipulation of biological microscopy data. It is a joint project between universities, research establishments, industry and the software development community. The purpose of OME-XML is to provide a rich, extensible way to save information concerning microscopy experiments and the images acquired therein. OME-XML as a file format is superseded by OME-TIFF, which is the preferred container format for image data making use of the OME Data Model.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18247},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11013},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11186},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14564}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Microbiology","Biology"],"domains":["Experimental measurement","Bioimaging","Cell","Microscopy","Imaging","Image","Protocol","Study design","Experimentally determined","Tissue"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["France","Italy","United Kingdom","United States"],"publications":[{"id":515,"pubmed_id":15892875,"title":"The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r47","authors":"Goldberg IG,Allan C,Burel JM,Creager D,Falconi A,Hochheiser H,Johnston J,Mellen J,Sorger PK,Swedlow JR","journal":"Genome Biol","doi":"10.1186/gb-2005-6-5-r47","created_at":"2021-09-30T08:23:16.210Z","updated_at":"2021-09-30T08:23:16.210Z"},{"id":569,"pubmed_id":20513764,"title":"Metadata matters: access to image data in the real world","year":2010,"url":"http://doi.org/10.1083/jcb.201004104","authors":"Melissa Linkert, Curtis T. Rueden, Chris Allan et al.","journal":"The Journal of Cell Biology","doi":"10.1083/jcb.201004104","created_at":"2021-09-30T08:23:22.218Z","updated_at":"2021-09-30T08:23:22.218Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1418,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1399,"relation":"undefined"}],"grants":[{"id":7552,"fairsharing_record_id":1489,"organisation_id":2261,"relation":"maintains","created_at":"2021-09-30T09:28:41.631Z","updated_at":"2021-09-30T09:28:41.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7551,"fairsharing_record_id":1489,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:41.602Z","updated_at":"2021-09-30T09:31:25.231Z","grant_id":1161,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"095931/Z/11/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7553,"fairsharing_record_id":1489,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:41.674Z","updated_at":"2021-09-30T09:30:51.771Z","grant_id":907,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024233/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8143,"fairsharing_record_id":1489,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:10.795Z","updated_at":"2021-09-30T09:31:10.848Z","grant_id":1051,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022585/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1490","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-03-22T16:34:26.448Z","metadata":{"doi":"10.25504/FAIRsharing.ts6zgq","name":"NCCN EHR Oncology Categories","status":"ready","contacts":[{"contact_name":"Joan McClure","contact_email":"McClure@nccn.org"}],"homepage":"https://www.nccn.org/","citations":[],"identifier":1490,"description":"The NCCN EHR Oncology Advisory Group was formed to address the high variance in oncology history documentation within EHR systems. Specifically, there is a lack of standardization in the names of oncology history categories across institutions. Moreover, no synonym list or mapping currently exists between the varied category names. Furthermore, oncology history documentation is often inconsistent, incomplete, and not updated appropriately. The NCCN EHR Oncology Advisory Group has established best practices and is working with EHR vendors to implement and enhance tools for documentation of oncology history. This ontology is a result of the work of the group, and provides users with a list of oncology history categories and synonyms. It is our sincere hope that this work can form the basis of improving standardization and interoperability of oncology history documentation within EHR systems.","abbreviation":"NCCNEHR","support_links":[{"url":"Sugalski@nccn.org","name":"Jessica Sugalski","type":"Support email"},{"url":"Lamb@nccn.org","name":"Peter Lamb","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCCNEHR","name":"NCCNEHR","portal":"BioPortal"}]},"legacy_ids":["bsg-001083","bsg-s001083"],"name":"FAIRsharing record for: NCCN EHR Oncology Categories","abbreviation":"NCCNEHR","url":"https://fairsharing.org/10.25504/FAIRsharing.ts6zgq","doi":"10.25504/FAIRsharing.ts6zgq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCCN EHR Oncology Advisory Group was formed to address the high variance in oncology history documentation within EHR systems. Specifically, there is a lack of standardization in the names of oncology history categories across institutions. Moreover, no synonym list or mapping currently exists between the varied category names. Furthermore, oncology history documentation is often inconsistent, incomplete, and not updated appropriately. The NCCN EHR Oncology Advisory Group has established best practices and is working with EHR vendors to implement and enhance tools for documentation of oncology history. This ontology is a result of the work of the group, and provides users with a list of oncology history categories and synonyms. It is our sincere hope that this work can form the basis of improving standardization and interoperability of oncology history documentation within EHR systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10443,"fairsharing_record_id":1490,"organisation_id":3925,"relation":"maintains","created_at":"2023-03-22T16:34:09.223Z","updated_at":"2023-03-22T16:34:09.223Z","grant_id":null,"is_lead":true,"saved_state":{"id":3925,"name":"National Comprehensive Cancer Network","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1491","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:00.630Z","metadata":{"doi":"10.25504/FAIRsharing.amf6me","name":"VIVO Integrated Semantic Framework Ontology","status":"deprecated","contacts":[{"contact_name":"Michael Conlon","contact_email":"mconlon@ufl.edu"}],"homepage":"https://wiki.lyrasis.org/display/VIVODOC110x/Ontology+Reference","identifier":1491,"description":"The VIVO Integrated Semantic Framework ontology (VIVO-ISF Ontology, sometimes also known as the VIVO Ontology) represents researchers in the context of their experience, outputs, interests, accomplishments, and associated institutions. VIVO-ISF provides a set of types (classes) and relationships (properties) to represent researchers and the full context in which they work. The larger VIVO software is an open source platform for research discovery. Content in any local VIVO installation may be maintained manually, brought into VIVO in automated ways from local systems of record, such as HR, grants, course, and faculty activity databases, or from database providers such as publication aggregators and funding agencies.","abbreviation":"VIVO-ISF","support_links":[{"url":"https://duraspace.org/vivo/news/","name":"News","type":"Blog/News"},{"url":"https://github.com/openrif/vivo-isf-ontology","name":"GitHub Project","type":"Github"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/Rich+export+SPARQL+queries","name":"About SPARQL Queries","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/Ontology+Overview+%3A+Object+Properties","name":"About VIVO-ISF Object Properties","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/VIVO+Classes","name":"About VIVO-ISF Classes","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/Source+ontologies+for+VIVO","name":"Source Ontologies","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/VIVO+Ontology+Domain+Definition","name":"Ontology Domain Information","type":"Help documentation"}],"year_creation":2014,"associated_tools":[{"url":"https://duraspace.org/vivo/download/","name":"VIVO"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VIVO-ISF","name":"VIVO-ISF","portal":"BioPortal"}],"deprecation_date":"2021-02-07","deprecation_reason":"This resource is no longer actively maintained, and has been superceded."},"legacy_ids":["bsg-002774","bsg-s002774"],"name":"FAIRsharing record for: VIVO Integrated Semantic Framework Ontology","abbreviation":"VIVO-ISF","url":"https://fairsharing.org/10.25504/FAIRsharing.amf6me","doi":"10.25504/FAIRsharing.amf6me","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VIVO Integrated Semantic Framework ontology (VIVO-ISF Ontology, sometimes also known as the VIVO Ontology) represents researchers in the context of their experience, outputs, interests, accomplishments, and associated institutions. VIVO-ISF provides a set of types (classes) and relationships (properties) to represent researchers and the full context in which they work. The larger VIVO software is an open source platform for research discovery. Content in any local VIVO installation may be maintained manually, brought into VIVO in automated ways from local systems of record, such as HR, grants, course, and faculty activity databases, or from database providers such as publication aggregators and funding agencies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2111,"relation":"undefined"}],"grants":[{"id":7554,"fairsharing_record_id":1491,"organisation_id":1738,"relation":"maintains","created_at":"2021-09-30T09:28:41.712Z","updated_at":"2021-09-30T09:28:41.712Z","grant_id":null,"is_lead":false,"saved_state":{"id":1738,"name":"Lyrasis, Atlanta, GA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1492","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:06.844Z","metadata":{"doi":"10.25504/FAIRsharing.x13tv8","name":"Santa Barbara Coastal Observation Ontology","status":"deprecated","contacts":[{"contact_name":"Bryce Mecum","contact_email":"mecum@nceas.ucsb.edu","contact_orcid":"0000-0002-0381-3766"}],"homepage":"https://semtools.ecoinformatics.org/oboe/annotation-bake-off-sbc-oboe-extension-and-eml-datasets","identifier":1492,"description":"Extensible Observation Ontology for the Santa Barbara Coastal Long Term Ecological Research project (SBC-LTER). OBOE SBC extends core concepts defined in the OBOE suite that are particular to the Santa Barbara Coastal Long Term Ecological Research project's data collection activities. These include specific measurement protocols, sites, etc. This is mean as a case study ontology for the Semtools project.","abbreviation":"OBOE SBC","support_links":[{"url":"semtools@ecoinformatics.org","type":"Support email"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBOE-SBC","name":"OBOE-SBC","portal":"BioPortal"}],"deprecation_date":"2019-10-22","deprecation_reason":"This resource is now obsolete."},"legacy_ids":["bsg-002679","bsg-s002679"],"name":"FAIRsharing record for: Santa Barbara Coastal Observation Ontology","abbreviation":"OBOE SBC","url":"https://fairsharing.org/10.25504/FAIRsharing.x13tv8","doi":"10.25504/FAIRsharing.x13tv8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Extensible Observation Ontology for the Santa Barbara Coastal Long Term Ecological Research project (SBC-LTER). OBOE SBC extends core concepts defined in the OBOE suite that are particular to the Santa Barbara Coastal Long Term Ecological Research project's data collection activities. These include specific measurement protocols, sites, etc. This is mean as a case study ontology for the Semtools project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science"],"domains":["Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7555,"fairsharing_record_id":1492,"organisation_id":2210,"relation":"maintains","created_at":"2021-09-30T09:28:41.744Z","updated_at":"2021-09-30T09:28:41.744Z","grant_id":null,"is_lead":false,"saved_state":{"id":2210,"name":"OBOE Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1493","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:27:05.193Z","metadata":{"doi":"10.25504/FAIRsharing.w7a76x","name":"Plant Environmental Ontology","status":"deprecated","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu"}],"homepage":"http://browser.planteome.org/amigo/term/EO:0007359","identifier":1493,"description":"EO is a structured, controlled vocabulary for the representation of plant environmental conditions. EO has now been replaced by PECO. If you are using classes like EO:nnnnnn then you should be able to substitute this for PECO:nnnnnn, as all of the numeric parts of the ID are preserved. For a more robust mechanism, peco.obo contains alt_ids, and peco.owl contains the equivalent replaced_by assertions, which point from an obsoleted EO class to the corresponding PECO class.","abbreviation":"EO","year_creation":2008,"cross_references":[{"url":"http://www.obofoundry.org/ontology/eo.html","name":"eo","portal":"OBO Foundry"}],"deprecation_date":"2019-02-14","deprecation_reason":"This resource has been deprecated and is no longer maintained."},"legacy_ids":["bsg-000062","bsg-s000062"],"name":"FAIRsharing record for: Plant Environmental Ontology","abbreviation":"EO","url":"https://fairsharing.org/10.25504/FAIRsharing.w7a76x","doi":"10.25504/FAIRsharing.w7a76x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EO is a structured, controlled vocabulary for the representation of plant environmental conditions. EO has now been replaced by PECO. If you are using classes like EO:nnnnnn then you should be able to substitute this for PECO:nnnnnn, as all of the numeric parts of the ID are preserved. For a more robust mechanism, peco.obo contains alt_ids, and peco.owl contains the equivalent replaced_by assertions, which point from an obsoleted EO class to the corresponding PECO class.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Environmental Science"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2052,"relation":"undefined"}],"grants":[{"id":7556,"fairsharing_record_id":1493,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:28:41.767Z","updated_at":"2021-09-30T09:28:41.767Z","grant_id":null,"is_lead":true,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7557,"fairsharing_record_id":1493,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:41.793Z","updated_at":"2021-09-30T09:31:56.635Z","grant_id":1398,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS:1340112 award","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1494","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:56.324Z","metadata":{"doi":"10.25504/FAIRsharing.7tx4ac","name":"Access to Biological Collection Data DNA extension","status":"ready","contacts":[{"contact_name":"Walter G Berendsohn","contact_email":"w.berendsohn@bgbm.org","contact_orcid":"0000-0001-9945-7606"}],"homepage":"http://www.tdwg.org/standards/640/","identifier":1494,"description":"ABCDDNA is a theme specific extension for ABCD (Access to Biological Collections Data) created to facilitate storage and exchange of data related to DNA collection units, such as DNA extraction specifics, DNA quality parameters, and data characterising products of downstream applications, along with the relation to the analysed voucher specimen. ABCDDNA is an XML Schema extension to ABCD 2.06, which offers only a rudimentary set of DNA-specific data (\"Sequences\"). Although a stable standard, it will be replaced by the Global Genome Biodiversity Network (GGBN) Data Standard specification, which currently has a draft status.","abbreviation":"ABCDDNA","support_links":[{"url":"https://github.com/tdwg/abcddna/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","name":"Mailing List","type":"Mailing list"}],"year_creation":2010},"legacy_ids":["bsg-000204","bsg-s000204"],"name":"FAIRsharing record for: Access to Biological Collection Data DNA extension","abbreviation":"ABCDDNA","url":"https://fairsharing.org/10.25504/FAIRsharing.7tx4ac","doi":"10.25504/FAIRsharing.7tx4ac","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ABCDDNA is a theme specific extension for ABCD (Access to Biological Collections Data) created to facilitate storage and exchange of data related to DNA collection units, such as DNA extraction specifics, DNA quality parameters, and data characterising products of downstream applications, along with the relation to the analysed voucher specimen. ABCDDNA is an XML Schema extension to ABCD 2.06, which offers only a rudimentary set of DNA-specific data (\"Sequences\"). Although a stable standard, it will be replaced by the Global Genome Biodiversity Network (GGBN) Data Standard specification, which currently has a draft status.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12269}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Biology"],"domains":["Experimental measurement","DNA sequence data","Deoxyribonucleic acid","Resource collection","Protocol","Polymerase Chain Reaction","Sequence"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1691,"relation":"undefined"}],"grants":[{"id":7558,"fairsharing_record_id":1494,"organisation_id":19,"relation":"maintains","created_at":"2021-09-30T09:28:41.818Z","updated_at":"2021-09-30T09:28:41.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":19,"name":"Access to Biological Collections Data (ABCD) task group, Taxonomic Databases Working Group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1495","type":"fairsharing_records","attributes":{"created_at":"2016-06-24T17:24:21.000Z","updated_at":"2024-04-04T10:15:44.894Z","metadata":{"doi":"10.25504/FAIRsharing.yedsf5","name":"FAANG metadata sample specification standard","status":"ready","contacts":[{"contact_name":"Alexey Sokolov","contact_email":"alexey@ebi.ac.uk","contact_orcid":"0000-0002-3387-0649"}],"homepage":"https://github.com/FAANG/faang-metadata/blob/master/docs/faang_sample_metadata.md","citations":[{"doi":"10.1111/age.12736","pubmed_id":30311252,"publication_id":2772}],"identifier":1495,"description":"The FAANG metadata sample specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG samples are well described and that the description is well structured. In the sample context, we consider donor animals, tissue samples, primary cells or any other biological material to be samples. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","abbreviation":null,"support_links":[{"url":"faang@iastate.edu","name":"General Contact","type":"Support email"},{"url":"faang-dcc@ebi.ac.uk","name":"EBI General Contact","type":"Support email"}],"year_creation":2016,"associated_tools":[{"url":"https://data.faang.org/validation/samples","name":"FAANG metadata validation service"}]},"legacy_ids":["bsg-000672","bsg-s000672"],"name":"FAIRsharing record for: FAANG metadata sample specification standard","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.yedsf5","doi":"10.25504/FAIRsharing.yedsf5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAANG metadata sample specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG samples are well described and that the description is well structured. In the sample context, we consider donor animals, tissue samples, primary cells or any other biological material to be samples. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Functional Genomics","Life Science"],"domains":["Biological sample annotation","Cell line","Cell","Cell culture","Tissue"],"taxonomies":["Bos taurus","Bubalus bubalis","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":2772,"pubmed_id":30311252,"title":"FAANG, establishing metadata standards, validation and best practices for the farmed and companion animal community.","year":2018,"url":"http://doi.org/10.1111/age.12736","authors":"Harrison PW,Fan J,Richardson D,Clarke L,Zerbino D,Cochrane G,Archibald AL,Schmidt CJ,Flicek P","journal":"Anim Genet","doi":"10.1111/age.12736","created_at":"2021-09-30T08:27:40.722Z","updated_at":"2021-09-30T08:27:40.722Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":939,"relation":"undefined"},{"licence_name":"FAANG Apache License","licence_id":308,"licence_url":"https://github.com/FAANG/validate-metadata/blob/master/LICENSE","link_id":938,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":936,"relation":"undefined"}],"grants":[{"id":7560,"fairsharing_record_id":1495,"organisation_id":1069,"relation":"maintains","created_at":"2021-09-30T09:28:41.868Z","updated_at":"2021-09-30T09:28:41.868Z","grant_id":null,"is_lead":true,"saved_state":{"id":1069,"name":"Functional Annotation of Animal Genomes (FAANG) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9259,"fairsharing_record_id":1495,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.979Z","updated_at":"2022-04-11T12:07:25.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1512","type":"fairsharing_records","attributes":{"created_at":"2021-04-01T23:56:47.000Z","updated_at":"2022-07-20T10:06:09.481Z","metadata":{"doi":"10.25504/FAIRsharing.GWEIFA","name":"ASLS - Landform classifiers","status":"ready","contacts":[{"contact_name":"Andrew Biggs","contact_email":"andrew.biggs@resources.qld.gov.au"}],"homepage":"https://github.com/ANZSoilData/def-au-asls-landform","citations":[],"identifier":1512,"description":"Machine-readable representation of the classifiers described in chapter 5 Landform, by J.G. Speight, in Australian soil and land survey field handbook (3rd edn). In this technique for describing landforms, the whole land surface is viewed as a mosaic of tiles of odd shapes and sizes. The scheme is intended to produce a record of observations rather than inferences. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","abbreviation":"landform","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LANDFORM","name":"LANDFORM","portal":"BioPortal"}]},"legacy_ids":["bsg-001604","bsg-s001604"],"name":"FAIRsharing record for: ASLS - Landform classifiers","abbreviation":"landform","url":"https://fairsharing.org/10.25504/FAIRsharing.GWEIFA","doi":"10.25504/FAIRsharing.GWEIFA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Machine-readable representation of the classifiers described in chapter 5 Landform, by J.G. Speight, in Australian soil and land survey field handbook (3rd edn). In this technique for describing landforms, the whole land surface is viewed as a mosaic of tiles of odd shapes and sizes. The scheme is intended to produce a record of observations rather than inferences. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["soil carbon","Soil pH","Soil texture"],"countries":["Australia"],"publications":[{"id":2514,"pubmed_id":null,"title":"Australian Soil and Land Survey Handbook (Third Edition)","year":2009,"url":"https://www.publish.csiro.au/book/5230","authors":"National Committee on Soil and Terrain","journal":"CSIRO Publishing","doi":null,"created_at":"2021-09-30T08:27:08.484Z","updated_at":"2021-09-30T08:27:08.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":2720,"relation":"applies_to_content"}],"grants":[{"id":7605,"fairsharing_record_id":1512,"organisation_id":1980,"relation":"maintains","created_at":"2021-09-30T09:28:43.470Z","updated_at":"2022-06-30T11:29:28.453Z","grant_id":null,"is_lead":true,"saved_state":{"id":1980,"name":"National Committee on Soil and Terrain","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1513","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:01.239Z","metadata":{"doi":"10.25504/FAIRsharing.mtf81z","name":"International Classification of Diseases for Oncology, 3rd Edition","status":"ready","contacts":[{"contact_name":"Freddie Bray","contact_email":"brayf@who.int"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-of-diseases-for-oncology","identifier":1513,"description":"The International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3) is used principally in tumour or cancer registries for coding the site (topography) and the histology (morphology) of neoplasms, usually obtained from a pathology report. It provides a multi-axial classification of the site, morphology, behaviour, and grading of neoplasms. The topography axis uses the ICD-10 classification of malignant neoplasms (except those categories which relate to secondary neoplasms and to specified morphological types of tumours) for all types of tumours, thereby providing greater site detail for non-malignant tumours than is provided in ICD-10. In contrast to ICD-10, the ICD-O-3 includes topography for sites of haematopoietic and reticuloendothelial tumours.","abbreviation":"ICD-O-3","support_links":[{"url":"jakobr@who.int","name":"Robert Jakob","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/International_Classification_of_Diseases_for_Oncology","name":"ICD-0 Wikipedia entry","type":"Wikipedia"}],"year_creation":1976},"legacy_ids":["bsg-002756","bsg-s002756"],"name":"FAIRsharing record for: International Classification of Diseases for Oncology, 3rd Edition","abbreviation":"ICD-O-3","url":"https://fairsharing.org/10.25504/FAIRsharing.mtf81z","doi":"10.25504/FAIRsharing.mtf81z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3) is used principally in tumour or cancer registries for coding the site (topography) and the histology (morphology) of neoplasms, usually obtained from a pathology report. It provides a multi-axial classification of the site, morphology, behaviour, and grading of neoplasms. The topography axis uses the ICD-10 classification of malignant neoplasms (except those categories which relate to secondary neoplasms and to specified morphological types of tumours) for all types of tumours, thereby providing greater site detail for non-malignant tumours than is provided in ICD-10. In contrast to ICD-10, the ICD-O-3 includes topography for sites of haematopoietic and reticuloendothelial tumours.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17328},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12470},{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16786}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Health Science","Global Health","Pathology"],"domains":["Cancer","Tumor","Electronic health record","Histology","Disease","Classification","Morphology"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ICD-O: account required","licence_id":409,"licence_url":"http://apps.who.int/classifications/apps/icd/ClassificationDownload/DLArea/Download.aspx","link_id":1524,"relation":"undefined"},{"licence_name":"World Health Organization (WHO) Copyright, Licencing and Permissions","licence_id":868,"licence_url":"https://www.who.int/about/who-we-are/publishing-policies/copyright","link_id":1520,"relation":"undefined"}],"grants":[{"id":7607,"fairsharing_record_id":1513,"organisation_id":1472,"relation":"maintains","created_at":"2021-09-30T09:28:43.540Z","updated_at":"2021-09-30T09:28:43.540Z","grant_id":null,"is_lead":false,"saved_state":{"id":1472,"name":"International Agency for Research on Cancer (IARC), Lyon, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7606,"fairsharing_record_id":1513,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:43.498Z","updated_at":"2021-09-30T09:28:43.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1514","type":"fairsharing_records","attributes":{"created_at":"2021-03-11T11:48:33.000Z","updated_at":"2022-07-20T12:30:09.943Z","metadata":{"doi":"10.25504/FAIRsharing.2LyTxE","name":"Polygenic Risk Score Reporting Standards","status":"ready","contacts":[{"contact_name":"Genevieve Wojcik","contact_email":"gwojcik@stanford.edu","contact_orcid":"0000-0001-7206-8088"}],"homepage":"https://clinicalgenome.org/docs/clingen-complex-disease-prs-reporting-standards/","citations":[{"doi":"10.1038/s41586-021-03243-6","pubmed_id":33692554,"publication_id":2103}],"identifier":1514,"description":"The Polygenic Risk Score Reporting Standards (PRS-RS) provides the minimal information expected of authors to promote the internal validity, transparency, and reproducibility of PRS by requiring authors to detail the study population, statistical methods, and clinical utility of a published score. PRSs, which often aggregate results from genome-wide association studies, can bridge the gap between initial discovery efforts and clinical applications for the estimation of disease risk using genetics. However, there is notable heterogeneity in the application and reporting of these risk scores, which hinders the translation of PRSs into clinical care. These guidelines update the Genetic Risk Prediction Studies (GRIPS) Statement to reflect the present state of the field. Drawing on the input of experts in epidemiology, statistics, disease-specific applications, implementation and policy, this reporting framework defines the minimal information that is needed to interpret and evaluate PRSs, especially with respect to downstream clinical applications. Items span detailed descriptions of study populations, statistical methods for the development and validation of PRSs and considerations for the potential limitations of these scores. In addition, data deposition is encouraged via the PGS Catalog to facilitate reproducibility and comparative benchmarking. By providing these criteria in a structured format that builds on existing standards and ontologies, the aim is to facilitate translation into clinical care and progress towards defining best practice.","abbreviation":"PRS-RS","support_links":[{"url":"https://clinicalgenome.org/working-groups/complex-disease/","name":"ClinGen Complex Disease group website","type":"Help documentation"},{"url":"https://twitter.com/ClinGenResource","name":"@ClinGenResource","type":"Twitter"}],"year_creation":2020},"legacy_ids":["bsg-001595","bsg-s001595"],"name":"FAIRsharing record for: Polygenic Risk Score Reporting Standards","abbreviation":"PRS-RS","url":"https://fairsharing.org/10.25504/FAIRsharing.2LyTxE","doi":"10.25504/FAIRsharing.2LyTxE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Polygenic Risk Score Reporting Standards (PRS-RS) provides the minimal information expected of authors to promote the internal validity, transparency, and reproducibility of PRS by requiring authors to detail the study population, statistical methods, and clinical utility of a published score. PRSs, which often aggregate results from genome-wide association studies, can bridge the gap between initial discovery efforts and clinical applications for the estimation of disease risk using genetics. However, there is notable heterogeneity in the application and reporting of these risk scores, which hinders the translation of PRSs into clinical care. These guidelines update the Genetic Risk Prediction Studies (GRIPS) Statement to reflect the present state of the field. Drawing on the input of experts in epidemiology, statistics, disease-specific applications, implementation and policy, this reporting framework defines the minimal information that is needed to interpret and evaluate PRSs, especially with respect to downstream clinical applications. Items span detailed descriptions of study populations, statistical methods for the development and validation of PRSs and considerations for the potential limitations of these scores. In addition, data deposition is encouraged via the PGS Catalog to facilitate reproducibility and comparative benchmarking. By providing these criteria in a structured format that builds on existing standards and ontologies, the aim is to facilitate translation into clinical care and progress towards defining best practice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Quantitative Genetics","Personalized Medicine","Human Genetics","Epidemiology"],"domains":["Biomarker"],"taxonomies":["Homo sapiens"],"user_defined_tags":["genomic risk score","polygenic risk score","polygenic score"],"countries":["Australia","Canada","United Kingdom","United States"],"publications":[{"id":2103,"pubmed_id":33692554,"title":"Improving reporting standards for polygenic scores in risk prediction studies","year":2021,"url":"http://doi.org/10.1038/s41586-021-03243-6","authors":"Wand H, Lambert SA, [28 other Authors, ClinGen Complex Diseases working group], Inouye M, Wojcik GL","journal":"Nature","doi":"10.1038/s41586-021-03243-6","created_at":"2021-09-30T08:26:17.000Z","updated_at":"2021-09-30T08:26:17.000Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1391,"relation":"undefined"}],"grants":[{"id":7608,"fairsharing_record_id":1514,"organisation_id":538,"relation":"maintains","created_at":"2021-09-30T09:28:43.561Z","updated_at":"2021-09-30T09:28:43.561Z","grant_id":null,"is_lead":true,"saved_state":{"id":538,"name":"ClinGen Complex Disease working group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7609,"fairsharing_record_id":1514,"organisation_id":2343,"relation":"maintains","created_at":"2021-09-30T09:28:43.589Z","updated_at":"2021-09-30T09:28:43.589Z","grant_id":null,"is_lead":true,"saved_state":{"id":2343,"name":"Polygenic Score (PGS) Catalog","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1515","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T17:55:51.000Z","updated_at":"2024-01-28T11:13:30.281Z","metadata":{"name":"A minimum information framework the FAIR collection of earth and envionmental science data with drones","status":"in_development","contacts":[{"contact_name":"Andrea Thomer","contact_email":"athomer@umich.edu","contact_orcid":"0000-0001-6238-3498"}],"homepage":"https://doi.org/10.5281/zenodo.4124166","citations":[],"identifier":1515,"description":"This standard is a minimum information framework (MIF) for data collected by small unmanned aerial systems (AKA sUAS AKA RPAs AKA drones). A MIF is essentially a framework for the development for further data standards; it lists the metadata needed for the collection of FAIR (Findable Accessible Interoperable and Reusable) scientific data with drones/sUAS/RPAs. The sUAS MIF includes: An entity-relationship model illustrating key data classes and their relationships (file coming soon) sUASMIF.csv: A csv listing the attributes and their definitions for each class. This is the main file for the MIF datadict.txt: a data dictionary defining each column the the main MIF csv The MIF was drafted through examination of 3 case studies of data collection with drones, and then refined through iterative rounds of community feedback and reflection on the authors' own work with drone-based data collection. We are currently writing a short paper further describing the development of the standard.","abbreviation":"sUAS MIF","year_creation":2020},"legacy_ids":["bsg-001544","bsg-s001544"],"name":"FAIRsharing record for: A minimum information framework the FAIR collection of earth and envionmental science data with drones","abbreviation":"sUAS MIF","url":"https://fairsharing.org/fairsharing_records/1515","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard is a minimum information framework (MIF) for data collected by small unmanned aerial systems (AKA sUAS AKA RPAs AKA drones). A MIF is essentially a framework for the development for further data standards; it lists the metadata needed for the collection of FAIR (Findable Accessible Interoperable and Reusable) scientific data with drones/sUAS/RPAs. The sUAS MIF includes: An entity-relationship model illustrating key data classes and their relationships (file coming soon) sUASMIF.csv: A csv listing the attributes and their definitions for each class. This is the main file for the MIF datadict.txt: a data dictionary defining each column the the main MIF csv The MIF was drafted through examination of 3 case studies of data collection with drones, and then refined through iterative rounds of community feedback and reflection on the authors' own work with drone-based data collection. We are currently writing a short paper further describing the development of the standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Earth Science"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["drones","RPAs","sUAS"],"countries":["South Africa","United States"],"publications":[{"id":4004,"pubmed_id":null,"title":"Making Drone Data FAIR Through a Community-Developed Information Framework","year":2023,"url":"http://dx.doi.org/10.5334/dsj-2023-001","authors":"Barbieri, Lindsay; Wyngaard, Jane; Swanz, Sarah; Thomer, Andrea K.; ","journal":"Data Science Journal","doi":"10.5334/dsj-2023-001","created_at":"2023-10-03T10:13:14.772Z","updated_at":"2023-10-03T10:13:14.772Z"}],"licence_links":[],"grants":[{"id":7610,"fairsharing_record_id":1515,"organisation_id":810,"relation":"funds","created_at":"2021-09-30T09:28:43.622Z","updated_at":"2021-09-30T09:28:43.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":810,"name":"Earth Science Information Partners","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":10970,"fairsharing_record_id":1515,"organisation_id":3013,"relation":"maintains","created_at":"2023-10-03T10:16:06.579Z","updated_at":"2023-10-03T10:16:06.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":3013,"name":"University of Arizona, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10969,"fairsharing_record_id":1515,"organisation_id":4130,"relation":"maintains","created_at":"2023-10-03T10:16:06.578Z","updated_at":"2023-10-03T10:16:06.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":4130,"name":"University of Vermont","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10971,"fairsharing_record_id":1515,"organisation_id":3221,"relation":"maintains","created_at":"2023-10-03T10:16:06.653Z","updated_at":"2023-10-03T10:16:06.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":3221,"name":"Washington University in St Louis, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10972,"fairsharing_record_id":1515,"organisation_id":3039,"relation":"maintains","created_at":"2023-10-03T10:16:06.666Z","updated_at":"2023-10-03T10:16:06.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":3039,"name":"University of Cape Town, Rondebosch, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1516","type":"fairsharing_records","attributes":{"created_at":"2021-03-25T11:49:01.000Z","updated_at":"2022-07-20T09:18:42.069Z","metadata":{"doi":"10.25504/FAIRsharing.f84009","name":"Union List of Artist Names","status":"ready","contacts":[{"contact_name":"ULAN Editors","contact_email":"ULAN@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/ulan/index.html","citations":[],"identifier":1516,"description":"The Union List of Artist Names (ULAN) contains names, relationships, notes, sources, and biographical information for artists, architects, firms, studios, repositories, patrons, and other individuals and corporate bodies, both named and anonymous. Names are included when they are required for the documentation, collection, and discovery of information about art, architecture, and other material culture where the works are of the type collected by art museums and other repositories for visual cultural heritage, or that are architecture. The ULAN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","abbreviation":"ULAN","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabulary Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/ulan/faq.html","name":"ULAN FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/ulan/about.html","name":"About","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/ulan/help.html","name":"How to Use","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/lod/index.html","name":"Getty Vocabularies as Linked Open Data","type":"Help documentation"}],"year_creation":1984},"legacy_ids":["bsg-001600","bsg-s001600"],"name":"FAIRsharing record for: Union List of Artist Names","abbreviation":"ULAN","url":"https://fairsharing.org/10.25504/FAIRsharing.f84009","doi":"10.25504/FAIRsharing.f84009","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Union List of Artist Names (ULAN) contains names, relationships, notes, sources, and biographical information for artists, architects, firms, studios, repositories, patrons, and other individuals and corporate bodies, both named and anonymous. Names are included when they are required for the documentation, collection, and discovery of information about art, architecture, and other material culture where the works are of the type collected by art museums and other repositories for visual cultural heritage, or that are architecture. The ULAN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Art History","Architecture","Art","History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":635,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":636,"relation":"undefined"}],"grants":[{"id":7611,"fairsharing_record_id":1516,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:43.659Z","updated_at":"2022-07-19T18:07:12.865Z","grant_id":null,"is_lead":true,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1498","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:29:16.032Z","metadata":{"doi":"10.25504/FAIRsharing.1gr4tz","name":"Experimental Factor Ontology","status":"ready","contacts":[{"contact_name":"Sirarat Sarntivijai","contact_email":"siiraa@ebi.ac.uk","contact_orcid":"0000-0002-2548-641X"}],"homepage":"https://www.ebi.ac.uk/efo/","citations":[{"doi":"10.1093/bioinformatics/btq099","pubmed_id":20200009,"publication_id":992}],"identifier":1498,"description":"The Experimental Factor Ontology (EFO) is an application focused ontology modelling the experimental variables in multiple resources at the EBI and the Centre for Therapeutic Target Validation. The ontology has been developed to increase the richness of the annotations that are currently made in resources and to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The ontology pulls together classes from reference ontologies such as disease, cell line, cell type and anatomy and adds axiomatisation as necessary to connect areas such as disease to phenotype.","abbreviation":"EFO","support_links":[{"url":"https://www.ebi.ac.uk/efo/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"efo-users@lists.sourceforge.net","name":"efo-users@ebi.ac.uk","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/efo/about.html","name":"About EFO","type":"Help documentation"},{"url":"https://github.com/EBISPOT/efo","name":"GitHub Project","type":"Github"}],"year_creation":2010,"associated_tools":[{"url":"http://www.ebi.ac.uk/efo/webulous","name":"Webulous"},{"url":"https://github.com/EBISPOT/urigen","name":"Urigen"},{"url":"http://www.ebi.ac.uk/efo/bubastis/","name":"Bubastis"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EFO","name":"EFO","portal":"BioPortal"}]},"legacy_ids":["bsg-000082","bsg-s000082"],"name":"FAIRsharing record for: Experimental Factor Ontology","abbreviation":"EFO","url":"https://fairsharing.org/10.25504/FAIRsharing.1gr4tz","doi":"10.25504/FAIRsharing.1gr4tz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Experimental Factor Ontology (EFO) is an application focused ontology modelling the experimental variables in multiple resources at the EBI and the Centre for Therapeutic Target Validation. The ontology has been developed to increase the richness of the annotations that are currently made in resources and to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The ontology pulls together classes from reference ontologies such as disease, cell line, cell type and anatomy and adds axiomatisation as necessary to connect areas such as disease to phenotype.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18268},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17563},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10868},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11262},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11927},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12395}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics"],"domains":["Experimental measurement","Assay","Independent variable","Study design","Genome-wide association study"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":992,"pubmed_id":20200009,"title":"Modeling sample variables with an Experimental Factor Ontology.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq099","authors":"Malone J,Holloway E,Adamusiak T,Kapushesky M,Zheng J,Kolesnikov N,Zhukova A,Brazma A,Parkinson H","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq099","created_at":"2021-09-30T08:24:09.805Z","updated_at":"2021-09-30T08:24:09.805Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2054,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2053,"relation":"undefined"}],"grants":[{"id":7566,"fairsharing_record_id":1498,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:42.083Z","updated_at":"2021-09-30T09:28:42.083Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7570,"fairsharing_record_id":1498,"organisation_id":1098,"relation":"funds","created_at":"2021-09-30T09:28:42.218Z","updated_at":"2021-09-30T09:29:49.991Z","grant_id":425,"is_lead":false,"saved_state":{"id":1098,"name":"GEN2PHEN","grant":"200754","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7569,"fairsharing_record_id":1498,"organisation_id":854,"relation":"funds","created_at":"2021-09-30T09:28:42.193Z","updated_at":"2021-09-30T09:32:36.147Z","grant_id":1694,"is_lead":false,"saved_state":{"id":854,"name":"EMERALD Publishing Limited, Bingley, UK","grant":"LSHG-CT-2006-037686","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7567,"fairsharing_record_id":1498,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:28:42.125Z","updated_at":"2021-09-30T09:28:42.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9298,"fairsharing_record_id":1498,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.705Z","updated_at":"2022-04-11T12:07:28.721Z","grant_id":474,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1499","type":"fairsharing_records","attributes":{"created_at":"2020-07-02T15:18:07.000Z","updated_at":"2022-07-20T11:04:12.797Z","metadata":{"doi":"10.25504/FAIRsharing.ld9wne","name":"Open Data for Access and Mining Structural Metadata","status":"ready","contacts":[{"contact_name":"Daniel Jacob","contact_email":"daniel.jacob@inrae.fr","contact_orcid":"0000-0002-6687-7169"}],"homepage":"https://inrae.github.io/ODAM/data-preparation/","citations":[{"doi":"10.1093/gigascience/giaa144","pubmed_id":33319910,"publication_id":3006}],"identifier":1499,"description":"Open Data for Access and Mining (ODAM) Structural Metadata is a format describing how the metadata should be formatted and what should be included to ensure ODAM compliance for a data set. To comply with this format, two metadata files in TSV format are required in addition to the data file(s). These two files describe the metadata of the dataset, which includes descriptions of measures and structural metadata like references between tables. It is this latter format that is described in this record. The metadata lets non-expert users explore and visualize your data. By making data interoperable and reusable by both humans and machines, it also encourages data dissemination according to FAIR principles. The structural metadata is specified in section three of the listed homepage.","abbreviation":"ODAM Structural Metadata","support_links":[{"url":"https://inrae.github.io/ODAM/","name":"ODAM: User's Guide","type":"Github"},{"url":"https://inrae.github.io/ODAM/json-schema/","name":"Structural Metadata: JSON Datapackage Specification","type":"Github"}],"year_creation":2020,"associated_tools":[{"url":"https://inrae.github.io/ODAM/data-explorer/","name":"ODAM dataexplorer 1.4"},{"url":"https://cran.r-project.org/web/packages/Rodam/","name":"Rodam 0.1.12"}]},"legacy_ids":["bsg-001505","bsg-s001505"],"name":"FAIRsharing record for: Open Data for Access and Mining Structural Metadata","abbreviation":"ODAM Structural Metadata","url":"https://fairsharing.org/10.25504/FAIRsharing.ld9wne","doi":"10.25504/FAIRsharing.ld9wne","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Data for Access and Mining (ODAM) Structural Metadata is a format describing how the metadata should be formatted and what should be included to ensure ODAM compliance for a data set. To comply with this format, two metadata files in TSV format are required in addition to the data file(s). These two files describe the metadata of the dataset, which includes descriptions of measures and structural metadata like references between tables. It is this latter format that is described in this record. The metadata lets non-expert users explore and visualize your data. By making data interoperable and reusable by both humans and machines, it also encourages data dissemination according to FAIR principles. The structural metadata is specified in section three of the listed homepage.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Life Science","Subject Agnostic"],"domains":["Experimental measurement","Data identity and mapping","Protocol","Study design","Experimentally determined","FAIR"],"taxonomies":["All"],"user_defined_tags":["Structured data"],"countries":["France"],"publications":[{"id":3006,"pubmed_id":33319910,"title":"Making experimental data tables in the life sciences more FAIR: a pragmatic approach","year":2020,"url":"http://doi.org/giaa144","authors":"Daniel Jacob , Romain David, Sophie Aubin, Yves Gibon","journal":"Gigascience","doi":"10.1093/gigascience/giaa144","created_at":"2021-09-30T08:28:10.632Z","updated_at":"2021-09-30T08:28:10.632Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":1606,"relation":"undefined"}],"grants":[{"id":7571,"fairsharing_record_id":1499,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:42.243Z","updated_at":"2021-09-30T09:28:42.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1500","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T09:05:19.000Z","updated_at":"2022-07-20T10:42:27.607Z","metadata":{"doi":"10.25504/FAIRsharing.CD2Px7","name":"Minimum Information Required for a Glycomics Experiment - Liquid Chromatography Analysis","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#liquid_chromatography","citations":[{"doi":"https://doi.org/10.1093/glycob/cwz009","publication_id":3065}],"identifier":1500,"description":"Thes LC guidelines are intended to improve the reporting of liquid chromatography (LC) glycan data. The MIRAGE-LC module covers all aspects of instrument setup and modality of data handling and manipulation cross-linked with other MIRAGE recommentations. The following parameters should be included in the report: - equipment used, including the specification of column details \u0026 characteristics, mobile phase, properties of the chromatographic run, pre- and post run processes, column outputs - fractions, data annotation, - exoglycosidase treatment","abbreviation":"MIRAGE LC Guidelines","support_links":[{"url":"mirage@beilstein-institut.de","name":"Dr. Carsten Kettner","type":"Support email"}],"year_creation":2018},"legacy_ids":["bsg-001361","bsg-s001361"],"name":"FAIRsharing record for: Minimum Information Required for a Glycomics Experiment - Liquid Chromatography Analysis","abbreviation":"MIRAGE LC Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.CD2Px7","doi":"10.25504/FAIRsharing.CD2Px7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Thes LC guidelines are intended to improve the reporting of liquid chromatography (LC) glycan data. The MIRAGE-LC module covers all aspects of instrument setup and modality of data handling and manipulation cross-linked with other MIRAGE recommentations. The following parameters should be included in the report: - equipment used, including the specification of column details \u0026 characteristics, mobile phase, properties of the chromatographic run, pre- and post run processes, column outputs - fractions, data annotation, - exoglycosidase treatment","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12126}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Glycomics","Biology"],"domains":["Experimental measurement","Annotation","Chromatography","Protocol"],"taxonomies":["All"],"user_defined_tags":["Glycan Annotation"],"countries":["Australia","Germany","Ireland","United Kingdom","United States"],"publications":[{"id":3065,"pubmed_id":null,"title":"The Minimum Information Required for a Glycomics Experiment (MIRAGE) Project: LC Guidelines","year":2019,"url":"http://doi.org/https://doi.org/10.1093/glycob/cwz009","authors":"Campbell, MP, Abrahams JL, Rapp E., Struwe, WB, Costello CE, Novotny M, Ranzinger R, York WS, Kolarich D, Kettner C","journal":"Glycobiology","doi":"https://doi.org/10.1093/glycob/cwz009","created_at":"2021-09-30T08:28:17.737Z","updated_at":"2021-09-30T08:28:17.737Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2240,"relation":"undefined"}],"grants":[{"id":7572,"fairsharing_record_id":1500,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:42.269Z","updated_at":"2021-09-30T09:28:42.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7575,"fairsharing_record_id":1500,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:28:42.351Z","updated_at":"2021-09-30T09:28:42.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7579,"fairsharing_record_id":1500,"organisation_id":1201,"relation":"maintains","created_at":"2021-09-30T09:28:42.457Z","updated_at":"2021-09-30T09:28:42.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":1201,"name":"Griffith University, Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7577,"fairsharing_record_id":1500,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:42.401Z","updated_at":"2021-09-30T09:28:53.833Z","grant_id":5,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","grant":"MIRAGE","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7573,"fairsharing_record_id":1500,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:42.303Z","updated_at":"2021-09-30T09:28:42.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7574,"fairsharing_record_id":1500,"organisation_id":1327,"relation":"maintains","created_at":"2021-09-30T09:28:42.327Z","updated_at":"2021-09-30T09:28:42.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7576,"fairsharing_record_id":1500,"organisation_id":1790,"relation":"maintains","created_at":"2021-09-30T09:28:42.377Z","updated_at":"2021-09-30T09:28:42.377Z","grant_id":null,"is_lead":false,"saved_state":{"id":1790,"name":"Max Planck Institute for the Dynmics of Complex Technical Systems Magdeburg","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7578,"fairsharing_record_id":1500,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:42.425Z","updated_at":"2021-09-30T09:28:42.425Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWUk9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f1e343a719409d929ea7411c11705b069c2e73b7/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1501","type":"fairsharing_records","attributes":{"created_at":"2021-02-08T12:11:49.000Z","updated_at":"2022-07-20T09:19:50.950Z","metadata":{"doi":"10.25504/FAIRsharing.yhLgTV","name":"Investigation Study Assay JSON","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"isatools@googlegroups.com"}],"homepage":"https://isa-specs.readthedocs.io/en/latest/isajson.html","citations":[],"identifier":1501,"description":"Investigation Study Assay JSON (ISA-JSON) describes the ISA Abstract Model reference implementation specified using the JavaScript Object Notation (JSON) format, a text format for serializing structured data. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","abbreviation":"ISA-JSON","support_links":[{"url":"http://isa-tools.org/blog/index.html","name":"ISA Blog","type":"Blog/News"},{"url":"https://groups.google.com/forum/#!forum/isaforum","name":"ISA Forum","type":"Forum"},{"url":"https://github.com/ISA-tools/ISAdatasets/tree/master/json","name":"Examples","type":"Github"},{"url":"https://twitter.com/isatools","name":"@isatools","type":"Twitter"}]},"legacy_ids":["bsg-001578","bsg-s001578"],"name":"FAIRsharing record for: Investigation Study Assay JSON","abbreviation":"ISA-JSON","url":"https://fairsharing.org/10.25504/FAIRsharing.yhLgTV","doi":"10.25504/FAIRsharing.yhLgTV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Investigation Study Assay JSON (ISA-JSON) describes the ISA Abstract Model reference implementation specified using the JavaScript Object Notation (JSON) format, a text format for serializing structured data. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17366},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14561},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16965}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Reagent","Gene expression","Biological sample","Assay","Protocol","Study design","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7582,"fairsharing_record_id":1501,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:42.622Z","updated_at":"2021-09-30T09:28:42.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7580,"fairsharing_record_id":1501,"organisation_id":1555,"relation":"maintains","created_at":"2021-09-30T09:28:42.551Z","updated_at":"2021-09-30T09:28:42.551Z","grant_id":null,"is_lead":true,"saved_state":{"id":1555,"name":"ISA-Tools, University of Oxford, Oxford, UK","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":7581,"fairsharing_record_id":1501,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:42.588Z","updated_at":"2021-09-30T09:28:42.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7583,"fairsharing_record_id":1501,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:42.658Z","updated_at":"2021-09-30T09:28:42.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1502","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.730Z","metadata":{"doi":"10.25504/FAIRsharing.15025c","name":"Postscript Format","status":"ready","homepage":"http://partners.adobe.com/public/developer/ps/index_specs.html","identifier":1502,"description":"THE POSTSCRIPT® LANGUAGE is a simple interpretive programming language with powerful graphics capabilities. Its primary application is to describe the appearance of text, graphical shapes, and sampled images on printed or displayed pages, according to the Adobe imaging model. A program in this language can communicate a description of a document from a composition system to a printing system or control the appearance of text and graphics on a display. The description is high-level and device-independent.","abbreviation":"Postscript Format","year_creation":1990},"legacy_ids":["bsg-000258","bsg-s000258"],"name":"FAIRsharing record for: Postscript Format","abbreviation":"Postscript Format","url":"https://fairsharing.org/10.25504/FAIRsharing.15025c","doi":"10.25504/FAIRsharing.15025c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: THE POSTSCRIPT® LANGUAGE is a simple interpretive programming language with powerful graphics capabilities. Its primary application is to describe the appearance of text, graphical shapes, and sampled images on printed or displayed pages, according to the Adobe imaging model. A program in this language can communicate a description of a document from a composition system to a printing system or control the appearance of text and graphics on a display. The description is high-level and device-independent.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7584,"fairsharing_record_id":1502,"organisation_id":25,"relation":"maintains","created_at":"2021-09-30T09:28:42.697Z","updated_at":"2021-09-30T09:28:42.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":25,"name":"Adobe","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1503","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:09.086Z","metadata":{"doi":"10.25504/FAIRsharing.2xahkx","name":"Neuroscience Information Framework Dysfunction","status":"deprecated","contacts":[{"contact_name":"Fahim Imam","contact_email":"smtifahim@gmail.com","contact_orcid":"0000-0003-4752-543X"}],"homepage":"http://bioportal.bioontology.org/ontologies/NIFDYS?p=summary","identifier":1503,"description":"This ontology contains the former BIRNLex-Disease, version 1.3.2. -- The BIRN Project lexicon will provide entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. It is built using the organizational framework provided by the foundational Basic Formal Ontology (BFO). It uses an abstract biomedical layer on top of that - OBO-UBO which has been constructed as a proposal to the OBO Foundry. This is meant to support creating a sharable view of core biomedical objects such as biomaterial_entity, and organismal_entity that all biomedical ontologies are likely to need and want to use with the same intended meaning. The BIRNLex was intended to serve as the basis for construction of a formal ontology for the multiscale investigation of neurological disease.","abbreviation":"NIFDYS","support_links":[{"url":"https://neuinfo.org/about/nifvocabularies","name":"About all NIF Vocabularies","type":"Help documentation"},{"url":"https://github.com/SciCrunch/NIF-Ontology","name":"GitHub Project","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFDYS","name":"NIFDYS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/nif_dysfunction.html","name":"nif_dysfunction","portal":"OBO Foundry"}],"deprecation_date":"2021-02-08","deprecation_reason":"This resource has been marked as deprecated by the OBO Foundry."},"legacy_ids":["bsg-000125","bsg-s000125"],"name":"FAIRsharing record for: Neuroscience Information Framework Dysfunction","abbreviation":"NIFDYS","url":"https://fairsharing.org/10.25504/FAIRsharing.2xahkx","doi":"10.25504/FAIRsharing.2xahkx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology contains the former BIRNLex-Disease, version 1.3.2. -- The BIRN Project lexicon will provide entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. It is built using the organizational framework provided by the foundational Basic Formal Ontology (BFO). It uses an abstract biomedical layer on top of that - OBO-UBO which has been constructed as a proposal to the OBO Foundry. This is meant to support creating a sharable view of core biomedical objects such as biomaterial_entity, and organismal_entity that all biomedical ontologies are likely to need and want to use with the same intended meaning. The BIRNLex was intended to serve as the basis for construction of a formal ontology for the multiscale investigation of neurological disease.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Neurobiology","Biomedical Science"],"domains":["Protocol","Study design","Disease","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2112,"relation":"undefined"}],"grants":[{"id":11534,"fairsharing_record_id":1503,"organisation_id":2144,"relation":"maintains","created_at":"2024-03-21T13:58:09.000Z","updated_at":"2024-03-21T13:58:09.000Z","grant_id":null,"is_lead":true,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1504","type":"fairsharing_records","attributes":{"created_at":"2021-03-11T16:13:08.000Z","updated_at":"2023-09-29T11:55:03.278Z","metadata":{"doi":"10.25504/FAIRsharing.zI0vGD","name":"ISO 28500:2017 Information and documentation — Web ARChive file format","status":"ready","contacts":[{"contact_name":"Ms Myounghyun Shim","contact_email":"shmh@korea.kr"}],"homepage":"https://www.iso.org/standard/68004.html","identifier":1504,"description":"The WARC (Web ARChive) file format offers a convention for concatenating multiple resource records (data objects), each consisting of a set of simple text headers and an arbitrary data block into one long file. The WARC format is an extension of the ARC file format (ARC) that has traditionally been used to store “web crawls” as sequences of content blocks harvested from the World Wide Web. Besides the primary content recorded in ARCs, the extended WARC format accommodates related secondary content, such as assigned metadata, abbreviated duplicate detection events, later-date transformations, and segmentation of large resources. The extension may also be useful for more general applications than web archiving. To aid the development of tools that are backwards compatible, WARC content is clearly distinguishable from pre-revision ARC content.","abbreviation":"WARC","support_links":[{"url":"https://iipc.github.io/warc-specifications","name":"GitHub.io Site","type":"Github"},{"url":"http://bibnum.bnf.fr/WARC/","name":"WARC General Information","type":"Help documentation"},{"url":"https://github.com/iipc/warc-specifications","name":"GitHub Project","type":"Github"}],"year_creation":2009},"legacy_ids":["bsg-001596","bsg-s001596"],"name":"FAIRsharing record for: ISO 28500:2017 Information and documentation — Web ARChive file format","abbreviation":"WARC","url":"https://fairsharing.org/10.25504/FAIRsharing.zI0vGD","doi":"10.25504/FAIRsharing.zI0vGD","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WARC (Web ARChive) file format offers a convention for concatenating multiple resource records (data objects), each consisting of a set of simple text headers and an arbitrary data block into one long file. The WARC format is an extension of the ARC file format (ARC) that has traditionally been used to store “web crawls” as sequences of content blocks harvested from the World Wide Web. Besides the primary content recorded in ARCs, the extended WARC format accommodates related secondary content, such as assigned metadata, abbreviated duplicate detection events, later-date transformations, and segmentation of large resources. The extension may also be useful for more general applications than web archiving. To aid the development of tools that are backwards compatible, WARC content is clearly distinguishable from pre-revision ARC content.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7586,"fairsharing_record_id":1504,"organisation_id":1530,"relation":"maintains","created_at":"2021-09-30T09:28:42.767Z","updated_at":"2021-09-30T09:28:42.767Z","grant_id":null,"is_lead":true,"saved_state":{"id":1530,"name":"International Standards Organisation (ISO) ISO/TC 46/SC 4 Technical interoperability","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10946,"fairsharing_record_id":1504,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:51:50.055Z","updated_at":"2023-09-27T14:51:50.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1505","type":"fairsharing_records","attributes":{"created_at":"2021-04-06T14:36:12.000Z","updated_at":"2022-07-20T12:30:07.925Z","metadata":{"doi":"10.25504/FAIRsharing.FxfF4o","name":"Back Pain Consortium Comorbidity Assessment Guidelines","status":"ready","contacts":[{"contact_name":"BACPAC Contact","contact_email":"BACPAC-NIH@mail.nih.gov"}],"homepage":"https://heal.nih.gov/research/clinical-research/back-pain","identifier":1505,"description":"This document includes recommendations for how comorbidities should be assessed in the clinic and via electronic health records. The document recommends ICD-10 codes to be used with the Charlson Comorbidity Index and adds a question regarding COVID diagnosis.","abbreviation":"BACPAC Comorbidity Assessment Guidelines"},"legacy_ids":["bsg-001606","bsg-s001606"],"name":"FAIRsharing record for: Back Pain Consortium Comorbidity Assessment Guidelines","abbreviation":"BACPAC Comorbidity Assessment Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.FxfF4o","doi":"10.25504/FAIRsharing.FxfF4o","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document includes recommendations for how comorbidities should be assessed in the clinic and via electronic health records. The document recommends ICD-10 codes to be used with the Charlson Comorbidity Index and adds a question regarding COVID diagnosis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Behavioural Biology","Biomedical Science","Pain Medicine"],"domains":["Behavior","Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7587,"fairsharing_record_id":1505,"organisation_id":650,"relation":"maintains","created_at":"2021-09-30T09:28:42.808Z","updated_at":"2021-09-30T09:28:42.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":650,"name":"Data Integration, Algorithm Development and Operations Management Center (DAC) for BACPAC, UNC Chapel Hill, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7588,"fairsharing_record_id":1505,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:42.851Z","updated_at":"2021-09-30T09:28:42.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1507","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:54.001Z","metadata":{"doi":"10.25504/FAIRsharing.q15f96","name":"CDISC Laboratory Data Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/lab","identifier":1507,"description":"LAB provides a standard model for the acquisition and exchange of laboratory data, primarily between labs and sponsors or CROs. The LAB standard was specifically designed for the interchange of lab data acquired in clinical trials.","abbreviation":"CDISC LAB"},"legacy_ids":["bsg-000165","bsg-s000165"],"name":"FAIRsharing record for: CDISC Laboratory Data Model","abbreviation":"CDISC LAB","url":"https://fairsharing.org/10.25504/FAIRsharing.q15f96","doi":"10.25504/FAIRsharing.q15f96","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LAB provides a standard model for the acquisition and exchange of laboratory data, primarily between labs and sponsors or CROs. The LAB standard was specifically designed for the interchange of lab data acquired in clinical trials.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11711},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11804},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11954},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12414}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Pharmacogenomics","Preclinical Studies"],"domains":["Data acquisition","Drug","Chemical entity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7595,"fairsharing_record_id":1507,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:43.165Z","updated_at":"2021-09-30T09:28:43.165Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7594,"fairsharing_record_id":1507,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:43.117Z","updated_at":"2021-09-30T09:28:43.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1508","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:08:23.759Z","metadata":{"doi":"10.25504/FAIRsharing.8h2a6z","name":"Article Minimum Information Standard","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"delphine.dauga@gmail.com"}],"homepage":"https://www.aniseed.fr/aniseed/default/submit_data?module=aniseed\u0026action=default:submit_data#tab-4","citations":[],"identifier":1508,"description":"To help authors ensure in the future that necessary information is present in their article, the Article Minimum Information Standard (AMIS) guidelines have been defined. The guideline describes the mandatory (and useful) information that should be mentioned in literature articles to facilitate the curation process. These guidelines extend the minimal information defined by the MISFISHIE format (Deutsch at al. 2008, Nature Biotechnology).","abbreviation":"AMIS","support_links":[{"url":"https://core.ac.uk/reader/289469","type":"Help documentation"},{"url":"aniseedteam@aniseed.fr","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-000109","bsg-s000109"],"name":"FAIRsharing record for: Article Minimum Information Standard","abbreviation":"AMIS","url":"https://fairsharing.org/10.25504/FAIRsharing.8h2a6z","doi":"10.25504/FAIRsharing.8h2a6z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To help authors ensure in the future that necessary information is present in their article, the Article Minimum Information Standard (AMIS) guidelines have been defined. The guideline describes the mandatory (and useful) information that should be mentioned in literature articles to facilitate the curation process. These guidelines extend the minimal information defined by the MISFISHIE format (Deutsch at al. 2008, Nature Biotechnology).","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11569},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11945}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Journal article"],"taxonomies":["All"],"user_defined_tags":["Publishing"],"countries":["France","United States"],"publications":[{"id":1014,"pubmed_id":20647237,"title":"The ANISEED database: digital representation, formalization, and elucidation of a chordate developmental program.","year":2010,"url":"http://doi.org/10.1101/gr.108175.110","authors":"Tassy O,Dauga D,Daian F,Sobral D,Lemaire P et al.","journal":"Genome Res","doi":"10.1101/gr.108175.110","created_at":"2021-09-30T08:24:12.272Z","updated_at":"2021-09-30T08:24:12.272Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2252,"relation":"undefined"}],"grants":[{"id":7597,"fairsharing_record_id":1508,"organisation_id":98,"relation":"maintains","created_at":"2021-09-30T09:28:43.220Z","updated_at":"2021-09-30T09:28:43.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":98,"name":"ANISEED Working Group","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7596,"fairsharing_record_id":1508,"organisation_id":945,"relation":"funds","created_at":"2021-09-30T09:28:43.195Z","updated_at":"2021-09-30T09:28:57.567Z","grant_id":31,"is_lead":false,"saved_state":{"id":945,"name":"European Network, Embryos against Cancer (EAC)","grant":"QLK3-CT-2001-01890","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1509","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:50.907Z","metadata":{"doi":"10.25504/FAIRsharing.54pw8x","name":"Platynereis Developmental STage","status":"deprecated","contacts":[{"contact_name":"Thorsten Heinrich","contact_email":"henrich@embl.de"}],"homepage":"http://www.obofoundry.org/ontology/pd_st.html","identifier":1509,"description":"Developmental stages of Platynereis.","abbreviation":"PD_ST","year_creation":2009,"cross_references":[{"url":"http://www.obofoundry.org/ontology/pdumdv.html","name":"pdumdv","portal":"OBO Foundry"}],"deprecation_date":"2015-04-10","deprecation_reason":"The OBO Foundry lists this ontology as deprecated."},"legacy_ids":["bsg-000013","bsg-s000013"],"name":"FAIRsharing record for: Platynereis Developmental STage","abbreviation":"PD_ST","url":"https://fairsharing.org/10.25504/FAIRsharing.54pw8x","doi":"10.25504/FAIRsharing.54pw8x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Developmental stages of Platynereis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Platynereis"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":48,"pubmed_id":21192805,"title":"The normal development of Platynereis dumerilii (Nereididae, Annelida).","year":2011,"url":"http://doi.org/10.1186/1742-9994-7-31","authors":"Fischer AH,Henrich T,Arendt D","journal":"Front Zool","doi":"10.1186/1742-9994-7-31","created_at":"2021-09-30T08:22:25.531Z","updated_at":"2021-09-30T08:22:25.531Z"}],"licence_links":[],"grants":[{"id":7599,"fairsharing_record_id":1509,"organisation_id":2277,"relation":"undefined","created_at":"2021-09-30T09:28:43.289Z","updated_at":"2021-09-30T09:28:43.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":2277,"name":"Osaka University, Japan","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":7600,"fairsharing_record_id":1509,"organisation_id":941,"relation":"undefined","created_at":"2021-09-30T09:28:43.322Z","updated_at":"2021-09-30T09:28:43.322Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1510","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.507Z","metadata":{"doi":"10.25504/FAIRsharing.kn0d5v","name":"Dendritic cell","status":"deprecated","contacts":[{"contact_name":"Lindsay Cowell","contact_email":"Lindsay.Cowell@utsouthwestern.edu","contact_orcid":"0000-0003-1617-8244"}],"homepage":"http://purl.bioontology.org/ontology/DC_CL","identifier":1510,"description":"\"Dendritic cell\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/DC_CL. This text was generated automatically. If you work on the project responsible for \"Dendritic cell\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"DC_CL","deprecation_date":"2015-04-06","deprecation_reason":"This ontology has been incorporated into the Cell Ontology, and the corresponding terms are maintained there. Please see https://www.biosharing.org/bsg-000009 instead."},"legacy_ids":["bsg-000021","bsg-s000021"],"name":"FAIRsharing record for: Dendritic cell","abbreviation":"DC_CL","url":"https://fairsharing.org/10.25504/FAIRsharing.kn0d5v","doi":"10.25504/FAIRsharing.kn0d5v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Dendritic cell\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/DC_CL. This text was generated automatically. If you work on the project responsible for \"Dendritic cell\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":["Annotation","Dendritic cell","Morphology"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1511","type":"fairsharing_records","attributes":{"created_at":"2020-09-16T12:22:45.000Z","updated_at":"2022-07-20T11:31:46.850Z","metadata":{"doi":"10.25504/FAIRsharing.058d2b","name":"Generic Earth Observation Metadata Standard","status":"ready","contacts":[{"contact_name":"Michael M. Yan","contact_email":"Michael.M.Yan@nasa.gov"}],"homepage":"https://avdc.gsfc.nasa.gov/index.php?site=1925698559","identifier":1511,"description":"The Generic Earth Observation Metadata Standard (GEOMS) is a generic metadata standard used for archiving data from ground based networks and for validating NASA and ESA satellite data. The standard aims to improve the portability and accessibility of geophysical datasets, and makes the contents of those datasets self-describing. Originally applicable to atmospheric and oceanographic datasets, it has expanded to support all measurements from Earth observation instruments. This standard describes the required metadata without requiring any particular format. However, implementations are available in HDF4, HDF5 or netCDF. Additional implementations in other formats can also be created as needed. Measurement-specific templates are available as various extensions of the GEOMS guidelines.","abbreviation":"GEOMS","support_links":[{"url":"https://avdc.gsfc.nasa.gov/index.php?site=1346863537","name":"GEOMS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/GEOMS_%E2%80%93_Generic_Earth_Observation_Metadata_Standard","name":"GEOMS Wikipedia Entry","type":"Wikipedia"}],"year_creation":2002},"legacy_ids":["bsg-001526","bsg-s001526"],"name":"FAIRsharing record for: Generic Earth Observation Metadata Standard","abbreviation":"GEOMS","url":"https://fairsharing.org/10.25504/FAIRsharing.058d2b","doi":"10.25504/FAIRsharing.058d2b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Generic Earth Observation Metadata Standard (GEOMS) is a generic metadata standard used for archiving data from ground based networks and for validating NASA and ESA satellite data. The standard aims to improve the portability and accessibility of geophysical datasets, and makes the contents of those datasets self-describing. Originally applicable to atmospheric and oceanographic datasets, it has expanded to support all measurements from Earth observation instruments. This standard describes the required metadata without requiring any particular format. However, implementations are available in HDF4, HDF5 or netCDF. Additional implementations in other formats can also be created as needed. Measurement-specific templates are available as various extensions of the GEOMS guidelines.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geophysics","Earth Science","Atmospheric Science","Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[],"licence_links":[],"grants":[{"id":7604,"fairsharing_record_id":1511,"organisation_id":2133,"relation":"maintains","created_at":"2021-09-30T09:28:43.446Z","updated_at":"2021-09-30T09:28:43.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":2133,"name":"Network for the Detection of Atmospheric Composition Change (NDACC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7602,"fairsharing_record_id":1511,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:43.387Z","updated_at":"2021-09-30T09:28:43.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9041,"fairsharing_record_id":1511,"organisation_id":957,"relation":"maintains","created_at":"2022-03-28T13:18:55.108Z","updated_at":"2022-03-28T13:18:55.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":957,"name":"European Space Agency","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1497","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-01T10:40:05.997Z","metadata":{"doi":"10.25504/FAIRsharing.53gp75","name":"Investigation Study Assay Tabular","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"isatools@googlegroups.com"}],"homepage":"https://isa-specs.readthedocs.io/en/latest/isatab.html","citations":[],"identifier":1497,"description":"Investigation Study Assay Tabular (ISA-Tab) describes the ISA Abstract Model reference implementation specified using the ISA-Tab format. ISA-Tab files are tab separated value (tsv) files, with specific labeled column structures. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","abbreviation":"ISA-Tab","support_links":[{"url":"http://isa-tools.org/blog/index.html","name":"ISA Blog","type":"Blog/News"},{"url":"https://groups.google.com/forum/#!forum/isaforum","name":"ISA Forum","type":"Forum"},{"url":"isatools@googlegroups.com","name":"ISA Tools Google Group","type":"Mailing list"},{"url":"http://isatab.sourceforge.net/docs/ISA-TAB_release-candidate-1_v1.0_24nov08.pdf","name":"Specification document 24 November 2008","type":"Help documentation"},{"url":"https://isa-specs.readthedocs.io/en/latest/isatab.html","name":"ISA-Tab format 1.0 (28 October 2016)","type":"Help documentation"},{"url":"https://github.com/ISA-tools/ISAdatasets/tree/master/tab","name":"Examples","type":"Github"},{"url":"https://twitter.com/isatools","name":"@isatools","type":"Twitter"}],"year_creation":2010,"associated_tools":[{"url":"http://www.isa-tools.org/tools.html","name":"ISA software Suite (create, edit, and manipulate ISA-tab files)"},{"url":"https://isa-tools.org/tag/phenomenal/index.html","name":"PhenoMeNal"},{"url":"https://github.com/ISA-tools/ISATab-Viewer","name":"ISA-Tab viewer"}]},"legacy_ids":["bsg-000078","bsg-s000078"],"name":"FAIRsharing record for: Investigation Study Assay Tabular","abbreviation":"ISA-Tab","url":"https://fairsharing.org/10.25504/FAIRsharing.53gp75","doi":"10.25504/FAIRsharing.53gp75","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Investigation Study Assay Tabular (ISA-Tab) describes the ISA Abstract Model reference implementation specified using the ISA-Tab format. ISA-Tab files are tab separated value (tsv) files, with specific labeled column structures. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17367},{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17498},{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10910},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11019},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11137},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11188},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11259},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11311},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11859},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11884},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11918},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12143},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12194},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12391},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13355},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16035},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16935}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Genomics","Life Science"],"domains":["Expression data","Experimental measurement","Reagent","Report","Biological sample","Assay","Protocol","Device","DNA microarray","Study design","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":562,"pubmed_id":20679334,"title":"ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq415","authors":"Rocca-Serra P, Brandizi M, Maguire E, Sklyar N, Taylor C, Begley K, Field D, Harris S, Hide W, Hofmann O, Neumann S, Sterk P, Tong W, Sansone SA.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq415","created_at":"2021-09-30T08:23:21.460Z","updated_at":"2021-09-30T08:23:21.460Z"},{"id":601,"pubmed_id":23267176,"title":"OntoMaton: a bioportal powered ontology widget for Google Spreadsheets","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts718","authors":"Eamonn Maguire, Alejandra Gonzalez-Beltran, Trish Whetzel, Susanna-Assunta Sansone, Philippe Rocca-Serra","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts718","created_at":"2021-09-30T08:23:25.903Z","updated_at":"2021-09-30T08:23:25.903Z"},{"id":1973,"pubmed_id":23109552,"title":"MetaboLights--an open-access general-purpose repository for metabolomics studies and associated meta-data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1004","authors":"Haug K, Salek RM, Conesa P, Hastings J, de Matos P, Rijnbeek M, Mahendraker T, Williams M, Neumann S, Rocca-Serra P, Maguire E, González-Beltrán A, Sansone SA, Griffin JL, Steinbeck C.","journal":"Nucleic Acid Research","doi":"10.1093/nar/gks1004","created_at":"2021-09-30T08:26:02.024Z","updated_at":"2021-09-30T08:26:02.024Z"},{"id":3807,"pubmed_id":null,"title":"linkedISA: semantic representation of ISA-Tab experimental metadata","year":2014,"url":"http://dx.doi.org/10.1186/1471-2105-15-S14-S4","authors":"González-Beltrán, Alejandra; Maguire, Eamonn; Sansone, Susanna-Assunta; Rocca-Serra, Philippe; ","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-15-s14-s4","created_at":"2023-03-20T12:19:48.497Z","updated_at":"2023-03-20T12:19:48.497Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":609,"relation":"undefined"}],"grants":[{"id":7562,"fairsharing_record_id":1497,"organisation_id":1555,"relation":"maintains","created_at":"2021-09-30T09:28:41.923Z","updated_at":"2021-09-30T09:28:41.923Z","grant_id":null,"is_lead":false,"saved_state":{"id":1555,"name":"ISA-Tools, University of Oxford, Oxford, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7565,"fairsharing_record_id":1497,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:42.046Z","updated_at":"2021-09-30T09:28:42.046Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8690,"fairsharing_record_id":1497,"organisation_id":3341,"relation":"associated_with","created_at":"2022-01-06T16:34:45.445Z","updated_at":"2022-01-06T16:34:45.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":3341,"name":"EMPHASIS","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":7564,"fairsharing_record_id":1497,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:42.007Z","updated_at":"2021-09-30T09:28:42.007Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7563,"fairsharing_record_id":1497,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:41.966Z","updated_at":"2021-09-30T09:28:41.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1496","type":"fairsharing_records","attributes":{"created_at":"2016-11-02T11:33:52.000Z","updated_at":"2021-11-24T13:18:48.498Z","metadata":{"doi":"10.25504/FAIRsharing.xbg0xd","name":"eXtensible Experiment Markup Language","status":"deprecated","contacts":[{"contact_email":"jaha@uvic.ca"}],"homepage":"http://xeml.codeplex.com/","identifier":1496,"description":"The eXtensible Experiment Markup Language (XEML) is a XML dialect. The language provides a flexible way to formulate experimental setups, encompassing information about environmental parameters in a continuous timeline, individual germplasm information, sampling structure and handling from specified plant material, sample data mapping to heterogeneous databases and general annotations.","abbreviation":"XEML","support_links":[{"url":"kenny.billiau@ki.se","name":"Kenny Billiau","type":"Support email"}],"year_creation":2009,"associated_tools":[{"url":"http://gmd.mpimp-golm.mpg.de/apps/XemlDesigner/","name":"XEML Interactive Designer"}],"deprecation_date":"2020-02-04","deprecation_reason":"The project homepage no longer exists, and we cannot find a current project site. Please get in touch if you have any additional information."},"legacy_ids":["bsg-000686","bsg-s000686"],"name":"FAIRsharing record for: eXtensible Experiment Markup Language","abbreviation":"XEML","url":"https://fairsharing.org/10.25504/FAIRsharing.xbg0xd","doi":"10.25504/FAIRsharing.xbg0xd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eXtensible Experiment Markup Language (XEML) is a XML dialect. The language provides a flexible way to formulate experimental setups, encompassing information about environmental parameters in a continuous timeline, individual germplasm information, sampling structure and handling from specified plant material, sample data mapping to heterogeneous databases and general annotations.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10921}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Canada","France","Germany","Netherlands"],"publications":[{"id":1759,"pubmed_id":19236607,"title":"Xeml Lab: a tool that supports the design of experiments at a graphical interface and generates computer-readable metadata files, which capture information about genotypes, growth conditions, environmental perturbations and sampling strategy.","year":2009,"url":"http://doi.org/10.1111/j.1365-3040.2009.01964.x","authors":"Hannemann J,Poorter H,Usadel B,Blasing OE,Finck A,Tardieu F,Atkin OK,Pons T,Stitt M,Gibon Y","journal":"Plant Cell Environ","doi":"10.1111/j.1365-3040.2009.01964.x","created_at":"2021-09-30T08:25:37.380Z","updated_at":"2021-09-30T08:25:37.380Z"}],"licence_links":[],"grants":[{"id":7561,"fairsharing_record_id":1496,"organisation_id":3145,"relation":"maintains","created_at":"2021-09-30T09:28:41.893Z","updated_at":"2021-09-30T09:28:41.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":3145,"name":"University of Victoria","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1506","type":"fairsharing_records","attributes":{"created_at":"2021-03-19T11:54:03.000Z","updated_at":"2022-07-20T12:50:18.083Z","metadata":{"doi":"10.25504/FAIRsharing.ioEYS5","name":"ATMODAT Standard (v3.0)","status":"ready","contacts":[{"contact_name":"Angelika Heil","contact_email":"heil@dkrz.de","contact_orcid":"0000-0002-8768-5027"}],"homepage":"https://doi.org/10.35095/WDCC/atmodat_standard_en_v3_0","citations":[{"publication_id":2197}],"identifier":1506,"description":"Within the AtMoDat project (Atmospheric Model Data), a standard has been developed which is meant for improving the FAIRness of atmospheric model data published in repositories. The ATMODAT standard includes concrete recommendations related to the maturity, publication and enhanced FAIRness of atmospheric model data. The suggestions include requirements for rich metadata with controlled vocabularies, structured landing pages, file formats (netCDF) and the structure within files. Human- and machine readable landing pages are a core element of this standard, and should hold and present discipline-specific metadata on simulation and variable level.","abbreviation":null,"support_links":[{"url":"info@atmodat.de","name":"contact AtMoDat","type":"Support email"}],"year_creation":2020,"associated_tools":[{"url":"https://github.com/AtMoDat/atmodat_data_checker","name":"atmodat data checker 1.0"}]},"legacy_ids":["bsg-001598","bsg-s001598"],"name":"FAIRsharing record for: ATMODAT Standard (v3.0)","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ioEYS5","doi":"10.25504/FAIRsharing.ioEYS5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Within the AtMoDat project (Atmospheric Model Data), a standard has been developed which is meant for improving the FAIRness of atmospheric model data published in repositories. The ATMODAT standard includes concrete recommendations related to the maturity, publication and enhanced FAIRness of atmospheric model data. The suggestions include requirements for rich metadata with controlled vocabularies, structured landing pages, file formats (netCDF) and the structure within files. Human- and machine readable landing pages are a core element of this standard, and should hold and present discipline-specific metadata on simulation and variable level.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Earth Science","Atmospheric Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2197,"pubmed_id":null,"title":"ATMODAT Standard (v3.0)","year":2021,"url":"https://doi.org/10.35095/WDCC/atmodat_standard_en_v3_0","authors":"Ganske, Anette; Kraft, Angelina; Kaiser, Amandine; Heydebreck, Daniel; Lammert, Andrea; Höck, Heinke; Thiemann, Hannes; Voss, Vivien; Grawe, David; Leitl, Bernd; Schlünzen, K. Heinke; Kretzschmar, Jan; Quaas, Johannes","journal":"WDCC","doi":null,"created_at":"2021-09-30T08:26:27.647Z","updated_at":"2021-09-30T08:26:27.647Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":56,"relation":"undefined"}],"grants":[{"id":7590,"fairsharing_record_id":1506,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:28:42.959Z","updated_at":"2021-09-30T09:29:08.527Z","grant_id":111,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"16QK02A","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9040,"fairsharing_record_id":1506,"organisation_id":3079,"relation":"maintains","created_at":"2022-03-28T13:10:26.494Z","updated_at":"2022-03-28T13:10:26.494Z","grant_id":null,"is_lead":false,"saved_state":{"id":3079,"name":"University of Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7589,"fairsharing_record_id":1506,"organisation_id":1140,"relation":"maintains","created_at":"2021-09-30T09:28:42.878Z","updated_at":"2021-09-30T09:28:42.878Z","grant_id":null,"is_lead":false,"saved_state":{"id":1140,"name":"German National Library of Science and Technology (TIB), Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7592,"fairsharing_record_id":1506,"organisation_id":2973,"relation":"maintains","created_at":"2021-09-30T09:28:43.038Z","updated_at":"2021-09-30T09:28:43.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":2973,"name":"Universitat Hamburg, Hamburg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9043,"fairsharing_record_id":1506,"organisation_id":1136,"relation":"maintains","created_at":"2022-03-28T13:27:36.867Z","updated_at":"2022-03-28T13:27:36.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1136,"name":"German Climate Computing Center, Hamburg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1517","type":"fairsharing_records","attributes":{"created_at":"2016-04-12T14:55:01.000Z","updated_at":"2022-07-20T10:57:24.658Z","metadata":{"doi":"10.25504/FAIRsharing.szrmev","name":"CDISC Controlled Terminology","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/terminology","citations":[],"identifier":1517,"description":"CDISC Controlled Terminology is the set of codelists and valid values used with data items within CDISC-defined datasets. Controlled Terminology provides the values required for submission to FDA and PMDA in CDISC-compliant datasets. Controlled Terminology does not tell you WHAT to collect; it tells you IF you collected a particular data item, how you should submit it in your electronic dataset.","abbreviation":"CDISC CT","support_links":[{"url":"https://www.cdisc.org/education/course/controlled-terminology-0","name":"Controlled Terminology","type":"Training documentation"}],"associated_tools":[{"url":"https://github.com/NCIEVS/nci-diff-cdisc","name":"NCI diff Tool for CDISC Terminology reports"},{"url":"https://ncitermform.nci.nih.gov/ncitermform/?version=cdisc","name":"NCI-EVS term request tracker"}]},"legacy_ids":["bsg-000645","bsg-s000645"],"name":"FAIRsharing record for: CDISC Controlled Terminology","abbreviation":"CDISC CT","url":"https://fairsharing.org/10.25504/FAIRsharing.szrmev","doi":"10.25504/FAIRsharing.szrmev","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC Controlled Terminology is the set of codelists and valid values used with data items within CDISC-defined datasets. Controlled Terminology provides the values required for submission to FDA and PMDA in CDISC-compliant datasets. Controlled Terminology does not tell you WHAT to collect; it tells you IF you collected a particular data item, how you should submit it in your electronic dataset.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17394},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11040},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11812},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12075},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12495}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7613,"fairsharing_record_id":1517,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:28:43.729Z","updated_at":"2021-09-30T09:28:43.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":7616,"fairsharing_record_id":1517,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:28:43.812Z","updated_at":"2021-09-30T09:28:43.812Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7612,"fairsharing_record_id":1517,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:43.698Z","updated_at":"2021-09-30T09:28:43.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7614,"fairsharing_record_id":1517,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:43.758Z","updated_at":"2021-09-30T09:28:43.758Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7615,"fairsharing_record_id":1517,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:28:43.788Z","updated_at":"2021-09-30T09:28:43.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1188","type":"fairsharing_records","attributes":{"created_at":"2020-01-23T12:46:28.000Z","updated_at":"2024-06-11T10:26:56.500Z","metadata":{"doi":"10.25504/FAIRsharing.97805c","name":"International Classification of Diseases Version 11","status":"ready","contacts":[{"contact_name":"ICD 11 Helpdesk","contact_email":"icd11@who.int"}],"homepage":"https://icd.who.int/en","citations":[],"identifier":1188,"description":"The International Classification of Diseases (ICD) was created to allow the recording, reporting and grouping of conditions and factors that influence health. It contains categories for diseases, health related conditions, and external causes of illness or death. The purpose of the ICD is to allow the systematic recording, analysis, interpretation and comparison of mortality and morbidity data collected in different countries or areas and at different times. The ICD is used to translate diagnoses of diseases and other health problems into an alphanumeric code, which allows storage, retrieval, and analysis of the data. The ICD has become the international standard diagnostic classification for all general epidemiological and many health management purposes. ICD-11 was released in 2018 to allow Member States to prepare for implementation, including translating ICD into their national languages. Member States will start reporting using ICD-11 on 1 January 2022.","abbreviation":"ICD 11","support_links":[{"url":"https://www.who.int/classifications/classification-of-diseases","name":"ICD 11 Classification Information","type":"Help documentation"},{"url":"https://icd.who.int/icd11refguide/en/index.html?r","name":"ICD 11 Reference Guide","type":"Help documentation"},{"url":"https://icd.who.int/en/docs/icd11factsheet_en.pdf","name":"ICD 11 Fact Sheet","type":"Help documentation"},{"url":"https://icd.who.int/docs/ICD-11%20Implementation%20or%20Transition%20Guide_v105.pdf","name":"ICD 11 Implementation or Transition Guide","type":"Help documentation"}],"year_creation":2018,"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010799","name":"re3data:r3d100010799","portal":"re3data"}]},"legacy_ids":["bsg-001436","bsg-s001436"],"name":"FAIRsharing record for: International Classification of Diseases Version 11","abbreviation":"ICD 11","url":"https://fairsharing.org/10.25504/FAIRsharing.97805c","doi":"10.25504/FAIRsharing.97805c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Diseases (ICD) was created to allow the recording, reporting and grouping of conditions and factors that influence health. It contains categories for diseases, health related conditions, and external causes of illness or death. The purpose of the ICD is to allow the systematic recording, analysis, interpretation and comparison of mortality and morbidity data collected in different countries or areas and at different times. The ICD is used to translate diagnoses of diseases and other health problems into an alphanumeric code, which allows storage, retrieval, and analysis of the data. The ICD has become the international standard diagnostic classification for all general epidemiological and many health management purposes. ICD-11 was released in 2018 to allow Member States to prepare for implementation, including translating ICD into their national languages. Member States will start reporting using ICD-11 on 1 January 2022.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17333},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12129},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12236},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12551},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16981}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":["Electronic health record","Disease","Diagnosis","Morbidity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":1675,"relation":"undefined"},{"licence_name":"WHO Permission Form for Commercial Use","licence_id":862,"licence_url":"http://www.who.int/about/licensing/copyright_form/en/","link_id":1685,"relation":"undefined"}],"grants":[{"id":6945,"fairsharing_record_id":1188,"organisation_id":3252,"relation":"funds","created_at":"2021-09-30T09:28:19.929Z","updated_at":"2021-09-30T09:28:19.929Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6944,"fairsharing_record_id":1188,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:19.893Z","updated_at":"2021-09-30T09:28:19.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1189","type":"fairsharing_records","attributes":{"created_at":"2015-06-10T13:48:46.000Z","updated_at":"2021-11-24T13:17:37.071Z","metadata":{"doi":"10.25504/FAIRsharing.2vsmz5","name":"Ocean Biogeographic Information System Schema","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"info@iobis.org"}],"homepage":"http://www.iobis.org/data/schema-and-metadata","identifier":1189,"description":"The OBIS schema is a list of data fields with names, descriptions, and format notes. The Ocean Biogeographic information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans.","abbreviation":"OBIS Schema","support_links":[{"url":"http://www.iobis.org/node/179","type":"Contact form"},{"url":"http://www.iobis.org/node/305","type":"Help documentation"},{"url":"http://www.iobis.org/node/304","type":"Help documentation"}],"deprecation_date":"2016-04-20","deprecation_reason":"This resource is no longer active. OBIS has moved entirely to the Dublin Core rather than the OBIS schema. Please see the FAIRsharing record for DwC instead (https://FAIRsharing.org/bsg-000195)."},"legacy_ids":["bsg-000595","bsg-s000595"],"name":"FAIRsharing record for: Ocean Biogeographic Information System Schema","abbreviation":"OBIS Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.2vsmz5","doi":"10.25504/FAIRsharing.2vsmz5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OBIS schema is a list of data fields with names, descriptions, and format notes. The Ocean Biogeographic information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6946,"fairsharing_record_id":1189,"organisation_id":1468,"relation":"maintains","created_at":"2021-09-30T09:28:20.011Z","updated_at":"2021-09-30T09:28:20.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1468,"name":"Intergovernmental Oceanographic Commission of UNESCO (IOC-UNESCO), Paris, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1190","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-07-20T12:48:57.480Z","metadata":{"doi":"10.25504/FAIRsharing.cc3f2x","name":"Ontology of Microbial Phenotypes","status":"ready","contacts":[{"contact_name":"James C. Hu","contact_email":"jimhu@tamu.edu"}],"homepage":"https://microbialphenotypes.org","citations":[{"doi":"10.1186/s12866-014-0294-3","pubmed_id":25433798,"publication_id":2058}],"identifier":1190,"description":"The Ontology of Microbial Phenotypes (OMP) is a community ontology for annotating microbial phenotypes, including bacteria, archaea, protists, fungi, and viruses. It has been created to help with standardized capture of essential phenotypic information. OMP is designed to be compatible with other microbial phenotype ontologies, such as the Fission Yeast Phenotype Ontology (FYPO) and the Ascomycete Phenotype Ontology (APO), and aims to standardize the capture of phenotypic information to allow improved cross-species data mining and analysis.","abbreviation":"OMP","support_links":[{"url":"https://github.com/microbialphenotypes/OMP-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/microbialphenotypes/OMP-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMP","name":"OMP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/omp.html","name":"omp","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001069","bsg-s001069"],"name":"FAIRsharing record for: Ontology of Microbial Phenotypes","abbreviation":"OMP","url":"https://fairsharing.org/10.25504/FAIRsharing.cc3f2x","doi":"10.25504/FAIRsharing.cc3f2x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Microbial Phenotypes (OMP) is a community ontology for annotating microbial phenotypes, including bacteria, archaea, protists, fungi, and viruses. It has been created to help with standardized capture of essential phenotypic information. OMP is designed to be compatible with other microbial phenotype ontologies, such as the Fission Yeast Phenotype Ontology (FYPO) and the Ascomycete Phenotype Ontology (APO), and aims to standardize the capture of phenotypic information to allow improved cross-species data mining and analysis.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12123}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Microbiology","Biology"],"domains":["Phenotype"],"taxonomies":["Archaea","Bacteria","Fungi","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2058,"pubmed_id":25433798,"title":"An ontology for microbial phenotypes.","year":2014,"url":"http://doi.org/10.1186/s12866-014-0294-3","authors":"Chibucos MC,Zweifel AE,Herrera JC,Meza W,Eslamfam S,Uetz P,Siegele DA,Hu JC,Giglio MG","journal":"BMC Microbiol","doi":"10.1186/s12866-014-0294-3","created_at":"2021-09-30T08:26:11.924Z","updated_at":"2021-09-30T08:26:11.924Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1398,"relation":"undefined"}],"grants":[{"id":6948,"fairsharing_record_id":1190,"organisation_id":726,"relation":"maintains","created_at":"2021-09-30T09:28:20.094Z","updated_at":"2021-09-30T09:28:20.094Z","grant_id":null,"is_lead":true,"saved_state":{"id":726,"name":"Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6947,"fairsharing_record_id":1190,"organisation_id":3187,"relation":"maintains","created_at":"2021-09-30T09:28:20.051Z","updated_at":"2021-09-30T09:28:20.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":3187,"name":"Virginia Commonwealth University, Richmond, VA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6949,"fairsharing_record_id":1190,"organisation_id":677,"relation":"maintains","created_at":"2021-09-30T09:28:20.132Z","updated_at":"2021-09-30T09:28:20.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":677,"name":"Department of Biology, Texas A\u0026, M University, College Station, TX, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6950,"fairsharing_record_id":1190,"organisation_id":1381,"relation":"maintains","created_at":"2021-09-30T09:28:20.169Z","updated_at":"2021-09-30T09:28:20.169Z","grant_id":null,"is_lead":true,"saved_state":{"id":1381,"name":"Institute for Genome Sciences, University of Maryland, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1191","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T09:31:40.810Z","metadata":{"doi":"10.25504/FAIRsharing.c0bvcy","name":"Semantic Sensor Network Ontology","status":"ready","contacts":[{"contact_name":"Spatial Data on the Web Working Group","contact_email":"public-sdw-comments@w3.org"}],"homepage":"https://www.w3.org/TR/vocab-ssn/","citations":[{"doi":"10.3233/SW-180320","pubmed_id":null,"publication_id":3329}],"identifier":1191,"description":"The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN (http://www.w3.org/ns/ssn/) and SOSA (http://www.w3.org/ns/sosa/) are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. ","abbreviation":"SSN","support_links":[{"url":"https://www.ogc.org/contacts","name":"Feedback and Contact Form","type":"Contact form"},{"url":"http://ogc.standardstracker.org/","name":"Submit Change Request / Requirement / Comment","type":"Forum"},{"url":"https://github.com/w3c/sdw","type":"Github"},{"url":"https://github.com/w3c/sdw/issues","name":"Submit an issue","type":"Github"}],"year_creation":2017,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SSN","name":"BioPortal:SSN","portal":"BioPortal"},{"url":"http://agroportal.lirmm.fr/ontologies/SSN","name":"Agroportal:SSN","portal":"AgroPortal"}]},"legacy_ids":["bsg-000777","bsg-s000777"],"name":"FAIRsharing record for: Semantic Sensor Network Ontology","abbreviation":"SSN","url":"https://fairsharing.org/10.25504/FAIRsharing.c0bvcy","doi":"10.25504/FAIRsharing.c0bvcy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN (http://www.w3.org/ns/ssn/) and SOSA (http://www.w3.org/ns/sosa/) are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Remote Sensing"],"domains":["Resource metadata","Imaging","Monitoring"],"taxonomies":["All"],"user_defined_tags":["Sensor data","Web of Things","ontology"],"countries":["Australia","France","Germany","United States"],"publications":[{"id":3315,"pubmed_id":null,"title":"The SSN ontology of the W3C semantic sensor network incubator group","year":2012,"url":"http://dx.doi.org/10.1016/j.websem.2012.05.003","authors":"Compton, Michael; Barnaghi, Payam; Bermudez, Luis; García-Castro, Raúl; Corcho, Oscar; Cox, Simon; Graybeal, John; Hauswirth, Manfred; Henson, Cory; Herzog, Arthur; Huang, Vincent; Janowicz, Krzysztof; Kelsey, W. David; Le Phuoc, Danh; Lefort, Laurent; Leggieri, Myriam; Neuhaus, Holger; Nikolov, Andriy; Page, Kevin; Passant, Alexandre; Sheth, Amit; Taylor, Kerry; ","journal":"Journal of Web Semantics","doi":"10.1016/j.websem.2012.05.003","created_at":"2022-04-18T23:18:24.942Z","updated_at":"2022-04-18T23:18:24.942Z"},{"id":3329,"pubmed_id":null,"title":"The Modular SSN Ontology: A Joint W3C and OGC Standard Specifying the Semantics of Sensors, Observations, Sampling, and Actuation","year":2019,"url":"http://www.semantic-web-journal.net/content/modular-ssn-ontology-joint-w3c-and-ogc-standard-specifying-semantics-sensors-observations","authors":"A Haller, K Janowicz, S J D Cox, M LeFrancois, K Taylor, D Le Phuoc, J Lieberman, R Garcia Castro, R A Atkinson, C Stadler","journal":"Semantic Web","doi":"10.3233/SW-180320","created_at":"2022-04-20T06:41:01.631Z","updated_at":"2022-04-20T06:41:01.631Z"},{"id":3330,"pubmed_id":null,"title":"SOSA: A lightweight ontology for sensors, observations, samples, and actuators","year":2018,"url":"https://www.sciencedirect.com/science/article/pii/S1570826818300295?via%3Dihub","authors":"Janowicz, Krzysztof; Haller, Armin; Cox, Simon J.D.; Le Phuoc, Danh; Lefrançois, Maxime; ","journal":"Journal of Web Semantics","doi":"10.1016/J.WEBSEM.2018.06.003","created_at":"2022-04-20T06:43:24.934Z","updated_at":"2022-04-20T06:43:24.934Z"}],"licence_links":[],"grants":[{"id":6951,"fairsharing_record_id":1191,"organisation_id":3203,"relation":"maintains","created_at":"2021-09-30T09:28:20.208Z","updated_at":"2021-09-30T09:28:20.208Z","grant_id":null,"is_lead":true,"saved_state":{"id":3203,"name":"W3C/OGC Spatial Data on the Web Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6952,"fairsharing_record_id":1191,"organisation_id":568,"relation":"maintains","created_at":"2021-09-30T09:28:20.239Z","updated_at":"2021-09-30T09:28:20.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1192","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T13:49:42.000Z","updated_at":"2023-03-23T14:53:26.923Z","metadata":{"doi":"10.25504/FAIRsharing.jbg4kp","name":"Minimum Information Required for a Drug Metabolism Enzymes and Transporters Experiment","status":"deprecated","contacts":[{"contact_name":"Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"http://bioweb.cpgr.org.za/mide/mide.doc","citations":[],"identifier":1192,"description":"Pharmacogenomics studies are expanding exponentially, both in terms of number and amount of data generated. To facilitate future research and diagnostic applications, Affymetrix has developed a microarray targeting known genetic variations in absorption, distribution, metabolism, excretion, toxicity (ADMET) genes. The array, known as Drug Metabolising Enzymes and Transporters (DMET Plus), comprises 1,936 variants across 231genes, including 5 copy number loci involved in drug metabolism and transport. Being designed to identify genetic variants in patients presenting different drug responses and risks for adverse drug reactions, DMET constitutes a valuable tool for pharmacogenomics and clinical studies. For effective DMET data interpretation, sharing, reporting and use across the scientific community, we propose the Minimum Information required for a DMET Experiment reporting (MIDE). MIDE aims to provide reporting guidelines and describe the information required for reporting to public databases. In this article we describe MIDE and discuss its broader applications to other platforms.","abbreviation":"MIDE","support_links":[{"url":"http://www.ktp.cpgr.org.za","type":"Help documentation"}],"year_creation":2011,"deprecation_date":"2023-03-23","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000628","bsg-s000628"],"name":"FAIRsharing record for: Minimum Information Required for a Drug Metabolism Enzymes and Transporters Experiment","abbreviation":"MIDE","url":"https://fairsharing.org/10.25504/FAIRsharing.jbg4kp","doi":"10.25504/FAIRsharing.jbg4kp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pharmacogenomics studies are expanding exponentially, both in terms of number and amount of data generated. To facilitate future research and diagnostic applications, Affymetrix has developed a microarray targeting known genetic variations in absorption, distribution, metabolism, excretion, toxicity (ADMET) genes. The array, known as Drug Metabolising Enzymes and Transporters (DMET Plus), comprises 1,936 variants across 231genes, including 5 copy number loci involved in drug metabolism and transport. Being designed to identify genetic variants in patients presenting different drug responses and risks for adverse drug reactions, DMET constitutes a valuable tool for pharmacogenomics and clinical studies. For effective DMET data interpretation, sharing, reporting and use across the scientific community, we propose the Minimum Information required for a DMET Experiment reporting (MIDE). MIDE aims to provide reporting guidelines and describe the information required for reporting to public databases. In this article we describe MIDE and discuss its broader applications to other platforms.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11598},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11726},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12042},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12477}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Drug Discovery","Pharmacogenomics","Biomedical Science"],"domains":["Gene report","Drug report","Drug metabolic process"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":2018,"pubmed_id":27548815,"title":"Minimum information required for a DMET experiment reporting","year":2016,"url":"http://doi.org/10.2217/pgs-2016-0015","authors":"Judit Kumuthini*, Mamana Mbiyavanga, Emile R Chimusa, Jyotishman Pathak, Panu Somervuo, Ron HN Van Schaik, Vita Dolzan, Clint Mizzi, Kusha Kalideen, Raj S Ramesar, Milan Macek, George P Patrinos, \u0026 Alessio Squassina","journal":"Pharmacogenomics","doi":"10.2217/pgs-2016-0015","created_at":"2021-09-30T08:26:07.347Z","updated_at":"2021-09-30T08:26:07.347Z"}],"licence_links":[],"grants":[{"id":6953,"fairsharing_record_id":1192,"organisation_id":468,"relation":"maintains","created_at":"2021-09-30T09:28:20.268Z","updated_at":"2021-09-30T09:28:20.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":468,"name":"Centre for Proteomic and Genomic Research (CPGR), Cape Town, South Africa","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6955,"fairsharing_record_id":1192,"organisation_id":1275,"relation":"funds","created_at":"2021-09-30T09:28:20.352Z","updated_at":"2021-09-30T09:28:20.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1275,"name":"Human Heredity and Health in Africa (H3Africa) Initiative, National Institutes of Health, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6954,"fairsharing_record_id":1192,"organisation_id":1207,"relation":"funds","created_at":"2021-09-30T09:28:20.311Z","updated_at":"2021-09-30T09:32:33.063Z","grant_id":1670,"is_lead":false,"saved_state":{"id":1207,"name":"H3ABioNet","grant":"NIH Common Fund Award /NHGRI Grant Number U41HG006941 through H3AbioNet project","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1193","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:45.342Z","metadata":{"doi":"10.25504/FAIRsharing.qs4x5m","name":"Microarray and Gene Expression Data Ontology","status":"deprecated","contacts":[{"contact_name":"Chris Stoeckert","contact_email":"stoeckrt@pcbi.upenn.edu","contact_orcid":"0000-0002-5714-991X"}],"homepage":"http://mged.sourceforge.net/ontologies/MGEDontology.php","identifier":1193,"description":"The MGED Ontology is a top level container for the MGEDCoreOntology and the MGEDExtendedOntology. The MGED ontology describes microarray experiments and is split into the MGEDCoreOntology, which supports MAGE-OM v1.0 and is organized consistently with MAGE, and the MGEDExtendedOntology, which expands MAGE v1.0 and contains concepts and relationships which are not included in MAGE. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/MO. If you work on the project responsible for \"MGED Ontology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"MO","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MO","name":"MO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mo.html","name":"mo","portal":"OBO Foundry"}],"deprecation_date":"2016-02-25","deprecation_reason":"This resource has been integrated into the Ontology for Biomedical Investigations and is no longer maintained."},"legacy_ids":["bsg-000067","bsg-s000067"],"name":"FAIRsharing record for: Microarray and Gene Expression Data Ontology","abbreviation":"MO","url":"https://fairsharing.org/10.25504/FAIRsharing.qs4x5m","doi":"10.25504/FAIRsharing.qs4x5m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MGED Ontology is a top level container for the MGEDCoreOntology and the MGEDExtendedOntology. The MGED ontology describes microarray experiments and is split into the MGEDCoreOntology, which supports MAGE-OM v1.0 and is organized consistently with MAGE, and the MGEDExtendedOntology, which expands MAGE v1.0 and contains concepts and relationships which are not included in MAGE. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/MO. If you work on the project responsible for \"MGED Ontology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12090}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Assay","DNA microarray","Transcript"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":7,"pubmed_id":16428806,"title":"The MGED Ontology: a resource for semantics-based description of microarray experiments.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl005","authors":"Whetzel PL, Parkinson H, Causton HC, Fan L, Fostel J, Fragoso G, Game L, Heiskanen M, Morrison N, Rocca-Serra P, Sansone SA, Taylor C, White J, Stoeckert CJ Jr","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl005","created_at":"2021-09-30T08:22:21.289Z","updated_at":"2021-09-30T08:22:21.289Z"}],"licence_links":[],"grants":[{"id":6957,"fairsharing_record_id":1193,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:28:20.582Z","updated_at":"2021-09-30T09:28:20.582Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6956,"fairsharing_record_id":1193,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:20.545Z","updated_at":"2021-09-30T09:28:54.626Z","grant_id":11,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"273-02-C-0027","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8269,"fairsharing_record_id":1193,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:50.874Z","updated_at":"2021-09-30T09:31:50.937Z","grant_id":1354,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1P41HG003619","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6959,"fairsharing_record_id":1193,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:20.638Z","updated_at":"2021-09-30T09:28:20.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1166","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-14T15:12:49.406Z","metadata":{"doi":"10.25504/FAIRsharing.nwgynk","name":"eagle-i Research Resource Ontology","status":"deprecated","contacts":[{"contact_name":"Carlo Torniai","contact_email":"carlotorniai@gmail.com","contact_orcid":"0000-0002-3734-1859"}],"homepage":"https://open.catalyst.harvard.edu/wiki/display/eaglei/Ontology","citations":[],"identifier":1166,"description":"A unique feature of the eagle-i software is that the data collection and search tools are completely driven by ontologies. These ontologies are a set of modules that are written in the OWL language and edited and managed using Protégé. Beginning in 2009, the eagle-i Research Resource Ontology (ERO) was developed alongside the eagle-i applications to model various biomedical research resources such as instruments, Core Facilities, protocols, reagents, animal models and biospecimens. It has now been integrated into the VIVO-ISF Ontology, which leverages and expands upon both the eagle-i and VIVO ontologies to create a semantic framework that describes not only scientific resources but research activities and clinical activities.","abbreviation":"ERO","support_links":[{"url":"info@eagle-i.org","name":"General enquiries","type":"Support email"},{"url":"https://open.med.harvard.edu/mailman/listinfo/eagle-i-admins","name":"Eagle-i-admins","type":"Mailing list"},{"url":"https://open.med.harvard.edu/mailman/listinfo/shrine-users","name":"Shrine-users","type":"Mailing list"},{"url":"https://docs.google.com/document/d/1Radat4PqKJuWktxJ3RgxWp_osfW07RZ6-EBVLG8YAsw/edit","type":"Help documentation"},{"url":"https://open.med.harvard.edu/wiki/display/eaglei/Training","type":"Training documentation"}],"year_creation":2009,"associated_tools":[{"url":"https://open.med.harvard.edu/wiki/display/eaglei/Software+downloads","name":"Eagle-i software"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ERO","name":"ERO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ero.html","name":"ero","portal":"OBO Foundry"}],"deprecation_date":"2023-09-14","deprecation_reason":"The eagle-i software and associated ontology is still available to the open-source community, but is no longer supported or maintained. The eagle-i National Network and eagle-i resource search was retired on November 4, 2021. For more information, please see https://open.catalyst.harvard.edu/products/eagle-i/"},"legacy_ids":["bsg-002790","bsg-s002790"],"name":"FAIRsharing record for: eagle-i Research Resource Ontology","abbreviation":"ERO","url":"https://fairsharing.org/10.25504/FAIRsharing.nwgynk","doi":"10.25504/FAIRsharing.nwgynk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A unique feature of the eagle-i software is that the data collection and search tools are completely driven by ontologies. These ontologies are a set of modules that are written in the OWL language and edited and managed using Protégé. Beginning in 2009, the eagle-i Research Resource Ontology (ERO) was developed alongside the eagle-i applications to model various biomedical research resources such as instruments, Core Facilities, protocols, reagents, animal models and biospecimens. It has now been integrated into the VIVO-ISF Ontology, which leverages and expands upon both the eagle-i and VIVO ontologies to create a semantic framework that describes not only scientific resources but research activities and clinical activities.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10882}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Reagent","Biological sample","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":194,"pubmed_id":29599662,"title":"Automating data citation: the eagle-i experience.","year":2018,"url":"http://doi.org/10.1109/JCDL.2017.7991571","authors":"Alawini A,Chen L,Davidson SB,Da Silva NP,Silvello G","journal":"Proc ACM/IEEE Joint Conf Digit Libr","doi":"10.1109/JCDL.2017.7991571","created_at":"2021-09-30T08:22:41.206Z","updated_at":"2021-09-30T08:22:41.206Z"},{"id":742,"pubmed_id":22434835,"title":"Research resources: curating the new eagle-i discovery system.","year":2012,"url":"http://doi.org/10.1093/database/bar067","authors":"Vasilevsky N,Johnson T,Corday K,Torniai C,Brush M,Segerdell E,Wilson M,Shaffer C,Robinson D,Haendel M","journal":"Database (Oxford)","doi":"10.1093/database/bar067","created_at":"2021-09-30T08:23:41.711Z","updated_at":"2021-09-30T08:23:41.711Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1581,"relation":"undefined"}],"grants":[{"id":6913,"fairsharing_record_id":1166,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:28:18.693Z","updated_at":"2021-09-30T09:28:18.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1167","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:27.977Z","metadata":{"doi":"10.25504/FAIRsharing.jjb2p2","name":"Vital Sign Ontology","status":"uncertain","contacts":[{"contact_name":"Albert Goldfain","contact_email":"albertgoldfain@gmail.com"}],"homepage":"https://code.google.com/p/vital-sign-ontology/","identifier":1167,"description":"The Vital Sign Ontology (VSO) is an extension of the Ontology for General Medical Science (OGMS). VSO covers the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. VSO provides also a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.","abbreviation":"VSO","support_links":[{"url":"http://ontology.buffalo.edu/smith/articles/Vital_Sign_Ontology.pdf","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VSO","name":"VSO","portal":"BioPortal"}]},"legacy_ids":["bsg-002834","bsg-s002834"],"name":"FAIRsharing record for: Vital Sign Ontology","abbreviation":"VSO","url":"https://fairsharing.org/10.25504/FAIRsharing.jjb2p2","doi":"10.25504/FAIRsharing.jjb2p2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vital Sign Ontology (VSO) is an extension of the Ontology for General Medical Science (OGMS). VSO covers the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. VSO provides also a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science"],"domains":["Experimental measurement","Blood"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[],"licence_links":[],"grants":[{"id":6914,"fairsharing_record_id":1167,"organisation_id":3198,"relation":"maintains","created_at":"2021-09-30T09:28:18.731Z","updated_at":"2021-09-30T09:28:18.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":3198,"name":"VSO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1168","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T12:47:28.000Z","updated_at":"2023-09-29T11:54:58.989Z","metadata":{"doi":"10.25504/FAIRsharing.be4cf1","name":"Systems to manage terminology, knowledge and content -- Design, implementation and maintenance of terminology management systems","status":"deprecated","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/43427.html","citations":[],"identifier":1168,"description":"ISO 26162:2012 specifies criteria for designing, implementing and maintaining terminology management systems (TMS). It provides information about the rationale for using a TMS, types of users and users' needs, steps in designing and implementing a TMS as well as the tasks of organizing and managing a terminological data collection (TDC). It also provides guidelines for selecting and using data categories for managing terminology in various environments. It is intended for terminologists, software developers and others who are involved in the process of developing or acquiring a TMS.","abbreviation":"ISO 26162:2012","support_links":[{"url":"https://www.iso.org/contents/data/standard/04/34/43427.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2012,"deprecation_date":"2022-06-27","deprecation_reason":"This resource has now been withdrawn in favour of a more recent version."},"legacy_ids":["bsg-001279","bsg-s001279"],"name":"FAIRsharing record for: Systems to manage terminology, knowledge and content -- Design, implementation and maintenance of terminology management systems","abbreviation":"ISO 26162:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.be4cf1","doi":"10.25504/FAIRsharing.be4cf1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 26162:2012 specifies criteria for designing, implementing and maintaining terminology management systems (TMS). It provides information about the rationale for using a TMS, types of users and users' needs, steps in designing and implementing a TMS as well as the tasks of organizing and managing a terminological data collection (TDC). It also provides guidelines for selecting and using data categories for managing terminology in various environments. It is intended for terminologists, software developers and others who are involved in the process of developing or acquiring a TMS.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Data Management","Ontology and Terminology","Linguistics"],"domains":["Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":15,"relation":"undefined"}],"grants":[{"id":6915,"fairsharing_record_id":1168,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:18.763Z","updated_at":"2021-09-30T09:28:18.763Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10927,"fairsharing_record_id":1168,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:17:53.545Z","updated_at":"2023-09-27T14:17:53.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1194","type":"fairsharing_records","attributes":{"created_at":"2017-12-22T14:31:09.000Z","updated_at":"2021-11-24T13:18:12.044Z","metadata":{"doi":"10.25504/FAIRsharing.89hcdg","name":"Patient Derived Xenograft Minimum Information","status":"ready","contacts":[{"contact_name":"Terry Meehan","contact_email":"tmeehan@ebi.ac.uk","contact_orcid":"0000-0003-1980-3228"}],"homepage":"https://www.ncbi.nlm.nih.gov/pubmed/29092942","identifier":1194,"description":"Patients-derived tumor xenograft (PDX) mouse models are an important oncology research platform to study tumor evolution, drug response and personalised medicine approaches. We identified critical attributes to accurately describe PDX production and usage and proposed the PDX-Minimum information (PDX-MI) standard, which defines the minimal information for describing the clinical attributes of a patient’s tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use PDX models in cancer research. PDX-MI standard is the result of the collaborative work from more than 50 worldwide experts over 30 worldwide institutions.","abbreviation":"PDX-MI","support_links":[{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","name":"MTB PDX","type":"Contact form"}],"year_creation":2017},"legacy_ids":["bsg-001093","bsg-s001093"],"name":"FAIRsharing record for: Patient Derived Xenograft Minimum Information","abbreviation":"PDX-MI","url":"https://fairsharing.org/10.25504/FAIRsharing.89hcdg","doi":"10.25504/FAIRsharing.89hcdg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Patients-derived tumor xenograft (PDX) mouse models are an important oncology research platform to study tumor evolution, drug response and personalised medicine approaches. We identified critical attributes to accurately describe PDX production and usage and proposed the PDX-Minimum information (PDX-MI) standard, which defines the minimal information for describing the clinical attributes of a patient’s tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use PDX models in cancer research. PDX-MI standard is the result of the collaborative work from more than 50 worldwide experts over 30 worldwide institutions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12534}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Translational Medicine","Preclinical Studies"],"domains":["Model organism","Cancer"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Patient derived xenograft PDX"],"countries":["United Kingdom"],"publications":[{"id":2797,"pubmed_id":29092942,"title":"PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models.","year":2017,"url":"http://doi.org/10.1158/0008-5472.CAN-17-0582","authors":"Meehan TF, Conte N, Goldstein T, Inghirami G, Murakami MA, Brabetz S, Gu Z, Wiser JA, Dunn P, Begley DA, Krupke DM, Bertotti A, Bruna A, Brush MH, Byrne AT, Caldas C, Christie AL, Clark DA, Dowst H, Dry JR, Doroshow JH, Duchamp O, Evrard YA, Ferretti S, Frese KK, Goodwin NC, Greenawalt D, Haendel MA, Hermans E, Houghton PJ, Jonkers J, Kemper K, Khor TO, Lewis MT, Lloyd KCK, Mason J, Medico E, Neuhauser SB, Olson JM, Peeper DS, Rueda OM, Seong JK, Trusolino L, Vinolo E, Wechsler-Reya RJ, Weinstock DM, Welm A, Weroha SJ, Amant F, Pfister SM, Kool M, Parkinson H, Butte AJ, Bult CJ.","journal":"Cancer Research","doi":"10.1158/0008-5472.CAN-17-0582","created_at":"2021-09-30T08:27:43.939Z","updated_at":"2021-09-30T08:27:43.939Z"}],"licence_links":[],"grants":[{"id":6960,"fairsharing_record_id":1194,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:28:20.664Z","updated_at":"2021-09-30T09:28:20.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6961,"fairsharing_record_id":1194,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:28:20.694Z","updated_at":"2021-09-30T09:28:20.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1195","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-04T18:16:07.625Z","metadata":{"doi":"10.25504/FAIRsharing.sp3szt","name":"SoftWare Ontology","status":"ready","contacts":[{"contact_name":"Allyson Lister","contact_email":"allyson.lister@oerc.ox.ac.uk","contact_orcid":"0000-0002-7702-4495"}],"homepage":"https://github.com/allysonlister/swo","citations":[{"doi":"10.1186/2041-1480-5-25","pubmed_id":25068035,"publication_id":801}],"identifier":1195,"description":"The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. SWO also covers software manufacturer, input and output data types and the uses (i.e. objectives) to which the software can be put.","abbreviation":"SWO","support_links":[{"url":"https://softwareontology.wordpress.com","name":"SWO Blog","type":"Blog/News"},{"url":"https://github.com/allysonlister/swo/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011,"associated_tools":[{"url":"http://www.ebi.ac.uk/ols/ontologies/swo","name":"Access via OLS (EBI)"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SWO","name":"SWO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/swo.html","name":"swo","portal":"OBO Foundry"},{"url":"https://www.ebi.ac.uk/ols/ontologies/swo","name":"SWO in OLS","portal":"OLS"}]},"legacy_ids":["bsg-000150","bsg-s000150"],"name":"FAIRsharing record for: SoftWare Ontology","abbreviation":"SWO","url":"https://fairsharing.org/10.25504/FAIRsharing.sp3szt","doi":"10.25504/FAIRsharing.sp3szt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. SWO also covers software manufacturer, input and output data types and the uses (i.e. objectives) to which the software can be put.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11150}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Computer Science"],"domains":["Algorithm","Workflow","Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":801,"pubmed_id":25068035,"title":"The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-25","authors":"Malone J,Brown A,Lister AL,Ison J,Hull D,Parkinson H,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-25","created_at":"2021-09-30T08:23:48.315Z","updated_at":"2021-09-30T08:23:48.315Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1277,"relation":"undefined"}],"grants":[{"id":6964,"fairsharing_record_id":1195,"organisation_id":2517,"relation":"maintains","created_at":"2021-09-30T09:28:20.793Z","updated_at":"2021-09-30T09:28:20.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":2517,"name":"School of Medicine, University of Manchester, Manchester M13 9PT, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6966,"fairsharing_record_id":1195,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:20.865Z","updated_at":"2021-09-30T09:28:55.017Z","grant_id":14,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/C536444/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6962,"fairsharing_record_id":1195,"organisation_id":2691,"relation":"maintains","created_at":"2021-09-30T09:28:20.739Z","updated_at":"2021-09-30T09:28:20.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":2691,"name":"SWO administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6963,"fairsharing_record_id":1195,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:20.764Z","updated_at":"2021-09-30T09:28:20.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6965,"fairsharing_record_id":1195,"organisation_id":1600,"relation":"funds","created_at":"2021-09-30T09:28:20.833Z","updated_at":"2021-09-30T09:28:20.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6967,"fairsharing_record_id":1195,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:20.888Z","updated_at":"2021-09-30T09:28:20.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8103,"fairsharing_record_id":1195,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:30:58.613Z","updated_at":"2021-09-30T09:30:58.666Z","grant_id":961,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/G026238/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1196","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T16:00:30.000Z","updated_at":"2023-06-02T15:00:56.691Z","metadata":{"doi":"10.25504/FAIRsharing.nK2JoH","name":"French Communes","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/D63/en/","citations":[],"identifier":1196,"description":"This thesaurus lists all the French communes including metropolitan France and overseas regions and departments. The current communes (including those created in 2018) are attached to their department; the delegated, merged or associated communes are attached to the corresponding current commune. The different entries are mapped to l'INSEE, GeoNames, PACTOLS, Rameau, Wikidata and Wikipedia. Available in English and French.","abbreviation":"French Communes","year_creation":2018},"legacy_ids":["bsg-001418","bsg-s001418"],"name":"FAIRsharing record for: French Communes","abbreviation":"French Communes","url":"https://fairsharing.org/10.25504/FAIRsharing.nK2JoH","doi":"10.25504/FAIRsharing.nK2JoH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This thesaurus lists all the French communes including metropolitan France and overseas regions and departments. The current communes (including those created in 2018) are attached to their department; the delegated, merged or associated communes are attached to the corresponding current commune. The different entries are mapped to l'INSEE, GeoNames, PACTOLS, Rameau, Wikidata and Wikipedia. Available in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11303}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Communes","France"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1818,"relation":"undefined"}],"grants":[{"id":6968,"fairsharing_record_id":1196,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:21.068Z","updated_at":"2021-09-30T09:28:21.068Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1136","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T11:35:42.000Z","updated_at":"2024-05-02T13:22:18.982Z","metadata":{"doi":"10.25504/FAIRsharing.wvgta9","name":"Hierarchical Data Format","status":"ready","contacts":[{"contact_name":"Markus W. Covert","contact_email":"mcovert@stanford.edu"}],"homepage":"http://www.hdfgroup.org/HDF5/","citations":[],"identifier":1136,"description":"HDF5 is a data model, library, and file format for storing and managing data. It supports an unlimited variety of datatypes, and is designed for flexible and efficient I/O and for high volume and complex data. HDF5 is portable and is extensible, allowing applications to evolve in their use of HDF5. The HDF5 Technology suite includes tools and applications for managing, manipulating, viewing, and analyzing data in the HDF5 format.","abbreviation":"HDF5","support_links":[{"url":"help@hdfgroup.org","type":"Support email"},{"url":"https://support.hdfgroup.org/HDF5-FAQ.html","name":"HDF5 FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://support.hdfgroup.org/HDF5/Tutor/","name":"HDF5 Tutorial","type":"Help documentation"},{"url":"https://docs.hdfgroup.org/hdf5/v1_14/v1_14_4/_u_g.html","name":"HDF5 User Guide","type":"Help documentation"},{"url":"https://portal.hdfgroup.org/documentation/","name":"HDF Group Documentation","type":"Help documentation"},{"url":"https://github.com/HDFGroup/hdf5","name":"HDF Group GitHub","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"http://edamontology.org/format_3590","name":"EDAM","portal":"BioPortal"}]},"legacy_ids":["bsg-000575","bsg-s000575"],"name":"FAIRsharing record for: Hierarchical Data Format","abbreviation":"HDF5","url":"https://fairsharing.org/10.25504/FAIRsharing.wvgta9","doi":"10.25504/FAIRsharing.wvgta9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HDF5 is a data model, library, and file format for storing and managing data. It supports an unlimited variety of datatypes, and is designed for flexible and efficient I/O and for high volume and complex data. HDF5 is portable and is extensible, allowing applications to evolve in their use of HDF5. The HDF5 Technology suite includes tools and applications for managing, manipulating, viewing, and analyzing data in the HDF5 format.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14730}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Computational Biology","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":4258,"pubmed_id":null,"title":"An overview of the HDF5 technology suite and its applications","year":2011,"url":"http://dx.doi.org/10.1145/1966895.1966900","authors":"Folk, Mike; Heber, Gerd; Koziol, Quincey; Pourmal, Elena; Robinson, Dana; ","journal":"Proceedings of the EDBT/ICDT 2011 Workshop on Array Databases","doi":"10.1145/1966895.1966900","created_at":"2024-04-20T00:05:29.721Z","updated_at":"2024-04-20T00:05:29.721Z"}],"licence_links":[{"licence_name":"HDF5 BSD-style Open Source","licence_id":383,"licence_url":"https://support.hdfgroup.org/ftp/HDF5/releases/COPYING","link_id":1275,"relation":"undefined"},{"licence_name":"HDF Group Licenses","licence_id":1105,"licence_url":"https://www.hdfgroup.org/licenses","link_id":3610,"relation":"applies_to_content"}],"grants":[{"id":6853,"fairsharing_record_id":1136,"organisation_id":2784,"relation":"maintains","created_at":"2021-09-30T09:28:16.410Z","updated_at":"2024-04-20T00:04:07.320Z","grant_id":null,"is_lead":true,"saved_state":{"id":2784,"name":"The HDF Group","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1137","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T15:09:09.000Z","updated_at":"2023-06-02T15:13:39.851Z","metadata":{"doi":"10.25504/FAIRsharing.LcyXdU","name":"Thesaurus Cognitive psychology of human memory","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/P66/en/","citations":[],"identifier":1137,"description":"This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the cognitive psychology of human memory (memory systems and processes, empirical effects, memory disorders, study methods, theories and models), organized in the form of hierarchical (generic and specific terms), equivalence (synonyms) and association relationships. Most of the concepts are presented with a definition and a bibliography. Notes have been added to some of them (only in French for the moment). The resource is mapped to the Cognitive Atlas, Wikipedia, wikidata and the Santé Psy thesaurus. This resource consists of 870 terminological entries grouped into 18 collections.","abbreviation":null,"year_creation":2014},"legacy_ids":["bsg-001421","bsg-s001421"],"name":"FAIRsharing record for: Thesaurus Cognitive psychology of human memory","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LcyXdU","doi":"10.25504/FAIRsharing.LcyXdU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the cognitive psychology of human memory (memory systems and processes, empirical effects, memory disorders, study methods, theories and models), organized in the form of hierarchical (generic and specific terms), equivalence (synonyms) and association relationships. Most of the concepts are presented with a definition and a bibliography. Notes have been added to some of them (only in French for the moment). The resource is mapped to the Cognitive Atlas, Wikipedia, wikidata and the Santé Psy thesaurus. This resource consists of 870 terminological entries grouped into 18 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11304}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Psychology","Cognitive Neuroscience"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Human memory"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1821,"relation":"undefined"}],"grants":[{"id":6855,"fairsharing_record_id":1137,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.486Z","updated_at":"2021-09-30T09:28:16.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6854,"fairsharing_record_id":1137,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.448Z","updated_at":"2021-09-30T09:28:16.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1138","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T18:21:42.000Z","updated_at":"2023-09-29T11:54:55.925Z","metadata":{"doi":"10.25504/FAIRsharing.3810da","name":"Information technology -- Processing languages -- Document Style Semantics and Specification Language (DSSSL)","status":"ready","contacts":[{"contact_name":"Toshiko Kimura","contact_email":"kimura@itscj.ipsj.or.jp"}],"homepage":"https://www.iso.org/standard/18196.html","citations":[],"identifier":1138,"description":"Document Style Semantics and Specification Language (DSSSL) defines the semantics, syntax, and processing model of languages for the specification of documentation processing. Specifies the processing of valid Standard Generalized Markup Language (SGML) documents. Provides means for externalization of style characteristics and other techniques for associating style information with an SGML document.","abbreviation":"ISO/IEC 10179:1996","support_links":[{"url":"https://www.iso.org/contents/data/standard/01/81/18196.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1996},"legacy_ids":["bsg-001239","bsg-s001239"],"name":"FAIRsharing record for: Information technology -- Processing languages -- Document Style Semantics and Specification Language (DSSSL)","abbreviation":"ISO/IEC 10179:1996","url":"https://fairsharing.org/10.25504/FAIRsharing.3810da","doi":"10.25504/FAIRsharing.3810da","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Document Style Semantics and Specification Language (DSSSL) defines the semantics, syntax, and processing model of languages for the specification of documentation processing. Specifies the processing of valid Standard Generalized Markup Language (SGML) documents. Provides means for externalization of style characteristics and other techniques for associating style information with an SGML document.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Subject Agnostic","Linguistics"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":973,"relation":"undefined"}],"grants":[{"id":10910,"fairsharing_record_id":1138,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:04:41.805Z","updated_at":"2023-09-27T14:04:41.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6856,"fairsharing_record_id":1138,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:28:16.523Z","updated_at":"2021-09-30T09:28:16.523Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1184","type":"fairsharing_records","attributes":{"created_at":"2019-02-14T13:28:47.000Z","updated_at":"2022-07-20T12:27:58.022Z","metadata":{"doi":"10.25504/FAIRsharing.6yNXYK","name":"Plant Experimental Condition Ontology","status":"ready","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu"}],"homepage":"https://github.com/Planteome/plant-experimental-conditions-ontology","identifier":1184,"description":"PECO is a structured, controlled vocabulary for the representation of plant experimental conditions. It describes the treatments, growing conditions, and/or study types used in various types of plant biology experiments.","abbreviation":"PECO","support_links":[{"url":"https://github.com/Planteome/plant-experimental-conditions-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PECO","name":"PECO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/peco.html","name":"peco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001359","bsg-s001359"],"name":"FAIRsharing record for: Plant Experimental Condition Ontology","abbreviation":"PECO","url":"https://fairsharing.org/10.25504/FAIRsharing.6yNXYK","doi":"10.25504/FAIRsharing.6yNXYK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PECO is a structured, controlled vocabulary for the representation of plant experimental conditions. It describes the treatments, growing conditions, and/or study types used in various types of plant biology experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Experimental measurement","Study design","Experimentally determined"],"taxonomies":["Plantae"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[{"id":2166,"pubmed_id":29186578,"title":"The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1152","authors":"Cooper L,Meier A,Laporte MA,Elser JL,Mungall C,Sinn BT,Cavaliere D,Carbon S,Dunn NA,Smith B,Qu B,Preece J,Zhang E,Todorovic S,Gkoutos G,Doonan JH,Stevenson DW,Arnaud E,Jaiswal P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1152","created_at":"2021-09-30T08:26:24.139Z","updated_at":"2021-09-30T11:29:30.419Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2047,"relation":"undefined"}],"grants":[{"id":6940,"fairsharing_record_id":1184,"organisation_id":1582,"relation":"maintains","created_at":"2021-09-30T09:28:19.739Z","updated_at":"2021-09-30T09:28:19.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":1582,"name":"Jaiswal Lab, Department of Botany and Plant Pathology (BPP), Oregon State University, Corvallis, United States","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1185","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:35:25.010Z","metadata":{"doi":"10.25504/FAIRsharing.5p12xh","name":"Ontology of Biological and Clinical Statistics","status":"ready","contacts":[{"contact_name":"Yongqun (Oliver) He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/obcs/obcs","citations":[{"doi":"10.1186/s13326-016-0100-2","pubmed_id":27627881,"publication_id":1906}],"identifier":1185,"description":"The Ontology of Biological and Clinical Statistics (OBCS) is a biomedical ontology in the domain of biological and clinical statistics. OBCS is primarily targeted for statistical representation in the fields in biological, biomedical, and clinical domains. OBCS uses the Basic Formal Ontology (BFO) as the upper level ontology. OBCS imports all biostatistics related terms in the Ontology for Biomedical Investigations (OBI) including all logical axioms.","abbreviation":"OBCS","support_links":[{"url":"https://github.com/obcs/obcs/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBCS","name":"OBCS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/obcs.html","name":"obcs","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000914","bsg-s000914"],"name":"FAIRsharing record for: Ontology of Biological and Clinical Statistics","abbreviation":"OBCS","url":"https://fairsharing.org/10.25504/FAIRsharing.5p12xh","doi":"10.25504/FAIRsharing.5p12xh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Biological and Clinical Statistics (OBCS) is a biomedical ontology in the domain of biological and clinical statistics. OBCS is primarily targeted for statistical representation in the fields in biological, biomedical, and clinical domains. OBCS uses the Basic Formal Ontology (BFO) as the upper level ontology. OBCS imports all biostatistics related terms in the Ontology for Biomedical Investigations (OBI) including all logical axioms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12115},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12523},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16997}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Statistics","Biomedical Science","Biology","Medical Informatics"],"domains":["Vaccine"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1906,"pubmed_id":27627881,"title":"The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0100-2","authors":"Zheng J,Harris MR,Masci AM,Lin Y,Hero A,Smith B,He Y","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0100-2","created_at":"2021-09-30T08:25:54.337Z","updated_at":"2021-09-30T08:25:54.337Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1397,"relation":"undefined"}],"grants":[{"id":6941,"fairsharing_record_id":1185,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:19.777Z","updated_at":"2021-09-30T09:28:19.777Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1186","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:47:33.000Z","updated_at":"2023-06-02T15:10:08.854Z","metadata":{"doi":"10.25504/FAIRsharing.LwAk3f","name":"Thesaurus of Blood Transfusion","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/W7B/en/","citations":[],"identifier":1186,"description":"The thesaurus of Blood Transfusion consists of 2032 entries, in English and French.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001416","bsg-s001416"],"name":"FAIRsharing record for: Thesaurus of Blood Transfusion","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LwAk3f","doi":"10.25504/FAIRsharing.LwAk3f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The thesaurus of Blood Transfusion consists of 2032 entries, in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11302}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Transfusion Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1816,"relation":"undefined"}],"grants":[{"id":6942,"fairsharing_record_id":1186,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:19.819Z","updated_at":"2021-09-30T09:28:19.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6943,"fairsharing_record_id":1186,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:19.856Z","updated_at":"2021-09-30T09:28:19.856Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1182","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-02T15:53:14.026Z","metadata":{"doi":"10.25504/FAIRsharing.f73xhd","name":"Pathway Ontology","status":"ready","contacts":[{"contact_name":"Victoria Petri","contact_email":"vpetri@mcw.edu","contact_orcid":"0000-0002-5540-8498"}],"homepage":"https://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=PW:0000001","citations":[{"doi":"10.1186/2041-1480-5-7","pubmed_id":24499703,"publication_id":994}],"identifier":1182,"description":"The goal of the Pathway Ontology is to cover all types of biological pathways, including altered and disease pathways, and to capture the relationships between them within the hierarchical structure of a Directed Acyclic Graph (DAG). The five nodes of the ontology are: classic metabolic, regulatory, signaling, drug and disease pathways. An extensive survey of the review literature along with searches of existing pathway databases have been used to choose terms and their position within the tree. The ontology is continually expanding along with the development of Pathway and Disease Portals at RGD.","abbreviation":"PW","support_links":[{"url":"https://rgd.mcw.edu/contact/index.shtml","name":"General inquiry","type":"Contact form"},{"url":"ftp://ftp.rgd.mcw.edu/pub/data_release/PathwayOntology_introduction.doc","name":"Pathway Ontology Introduction (doc)","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PW","name":"PW","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pw.html","name":"pw","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000045","bsg-s000045"],"name":"FAIRsharing record for: Pathway Ontology","abbreviation":"PW","url":"https://fairsharing.org/10.25504/FAIRsharing.f73xhd","doi":"10.25504/FAIRsharing.f73xhd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the Pathway Ontology is to cover all types of biological pathways, including altered and disease pathways, and to capture the relationships between them within the hierarchical structure of a Directed Acyclic Graph (DAG). The five nodes of the ontology are: classic metabolic, regulatory, signaling, drug and disease pathways. An extensive survey of the review literature along with searches of existing pathway databases have been used to choose terms and their position within the tree. The ontology is continually expanding along with the development of Pathway and Disease Portals at RGD.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11921}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Metabolism","Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Drug","Signaling","Biological regulation","Enzymatic reaction","Disease","Pathway model"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":994,"pubmed_id":24499703,"title":"The pathway ontology - updates and applications.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-7","authors":"Petri V,Jayaraman P,Tutaj M,Hayman GT,Smith JR,De Pons J,Laulederkind SJ,Lowry TF,Nigam R,Wang SJ,Shimoyama M,Dwinell MR,Munzenmaier DH,Worthey EA,Jacob HJ","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-7","created_at":"2021-09-30T08:24:10.030Z","updated_at":"2021-09-30T08:24:10.030Z"},{"id":1001,"pubmed_id":25265995,"title":"Disease pathways at the Rat Genome Database Pathway Portal: genes in context-a network approach to understanding the molecular mechanisms of disease.","year":2014,"url":"http://doi.org/10.1186/s40246-014-0017-8","authors":"Petri V,Hayman GT,Tutaj M,Smith JR,Laulederkind SJ,Wang SJ,Nigam R,De Pons J,Shimoyama M,Dwinell MR,Worthey EA,Jacob HJ","journal":"Hum Genomics","doi":"10.1186/s40246-014-0017-8","created_at":"2021-09-30T08:24:10.798Z","updated_at":"2021-09-30T08:24:10.798Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":227,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":226,"relation":"undefined"}],"grants":[{"id":6938,"fairsharing_record_id":1182,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:28:19.669Z","updated_at":"2021-09-30T09:28:19.669Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6939,"fairsharing_record_id":1182,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:19.707Z","updated_at":"2021-09-30T09:31:21.247Z","grant_id":1131,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HL64541","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1183","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.108Z","metadata":{"doi":"10.25504/FAIRsharing.s8g6nh","name":"Non Randomized Controlled Trials Ontology","status":"ready","contacts":[{"contact_name":"Amrapali Zaver","contact_email":"amrapali.j.zaveri@gmail.com","contact_orcid":"0000-0003-3239-4588"}],"homepage":"http://bioportal.bioontology.org/ontologies/3012","identifier":1183,"description":"Non Randomized Controlled Trials Ontology is an ontology to help the systematic review and meta-analysis process of non randomized clinical trials.","abbreviation":"NonRCTOntology","year_creation":2009},"legacy_ids":["bsg-002786","bsg-s002786"],"name":"FAIRsharing record for: Non Randomized Controlled Trials Ontology","abbreviation":"NonRCTOntology","url":"https://fairsharing.org/10.25504/FAIRsharing.s8g6nh","doi":"10.25504/FAIRsharing.s8g6nh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Non Randomized Controlled Trials Ontology is an ontology to help the systematic review and meta-analysis process of non randomized clinical trials.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12471}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Non-randomized controlled trials"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[{"id":2020,"pubmed_id":15120657,"title":"An ontology of randomized controlled trials for evidence-based practice: content specification and evaluation using the competency decomposition method.","year":2004,"url":"http://doi.org/10.1016/j.jbi.2004.03.001","authors":"Sim I,Olasov B,Carini S","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2004.03.001","created_at":"2021-09-30T08:26:07.562Z","updated_at":"2021-09-30T08:26:07.562Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1494,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1149","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:04.722Z","metadata":{"doi":"10.25504/FAIRsharing.z9kvry","name":"Systems Biology Graphical Notation","status":"ready","contacts":[{"contact_name":"SBGN Editors","contact_email":"sbgn-editors@googlegroups.com"}],"homepage":"https://sbgn.github.io/","identifier":1149,"description":"The Systems Biology Graphical Notation (SBGN) project is an effort to standardize the graphical notation used in maps of biological processes. The mission of SBGN project is to develop high quality, standard graphical languages for representing biological processes and interactions. Each SBGN language is based on the consensus of the broad international SBGN community of biologists, curators and software developers.","abbreviation":"SBGN","support_links":[{"url":"https://sbgn.github.io/contact","name":"Contact Information","type":"Github"},{"url":"https://sbgn.github.io/faq","name":"FAQ","type":"Github"},{"url":"https://sbgn.github.io/examples","name":"Examples","type":"Github"},{"url":"https://sbgn.github.io/learning","name":"Learning SBGN","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/pathway-visualization-in-the-reactome-pathway-database","name":"Pathway visualization in the Reactome pathway database","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/graphical-computational-modelling-of-biological-pathways-d0b38ce1-0e2e-4ba9-9e0c-39c6af558782","name":"Graphical \u0026 Computational Modelling of Biological Pathways","type":"TeSS links to training materials"}],"year_creation":2005,"associated_tools":[{"url":"https://sbgn.github.io/software","name":"SBGN Tools and Libraries"}]},"legacy_ids":["bsg-000092","bsg-s000092"],"name":"FAIRsharing record for: Systems Biology Graphical Notation","abbreviation":"SBGN","url":"https://fairsharing.org/10.25504/FAIRsharing.z9kvry","doi":"10.25504/FAIRsharing.z9kvry","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systems Biology Graphical Notation (SBGN) project is an effort to standardize the graphical notation used in maps of biological processes. The mission of SBGN project is to develop high quality, standard graphical languages for representing biological processes and interactions. Each SBGN language is based on the consensus of the broad international SBGN community of biologists, curators and software developers.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10848},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11153},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11878},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12210},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14545},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16939}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Systems Biology"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Japan","United Kingdom","United States","European Union"],"publications":[{"id":672,"pubmed_id":26528563,"title":"Systems Biology Graphical Notation: Activity Flow language Level 1 Version 1.2.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-265","authors":"Mi H,Schreiber F,Moodie S,Czauderna T,Demir E,Haw R,Luna A,Le Novere N,Sorokin A,Villeger A","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-265","created_at":"2021-09-30T08:23:34.135Z","updated_at":"2021-09-30T08:23:34.135Z"},{"id":717,"pubmed_id":19668183,"title":"The Systems Biology Graphical Notation.","year":2009,"url":"http://doi.org/10.1038/nbt.1558","authors":"Le Novere N et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt.1558","created_at":"2021-09-30T08:23:39.028Z","updated_at":"2021-09-30T08:23:39.028Z"},{"id":945,"pubmed_id":26528562,"title":"Systems Biology Graphical Notation: Entity Relationship language Level 1 Version 2.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-264","authors":"Sorokin A,Le Novere N,Luna A,Czauderna T,Demir E,Haw R,Mi H,Moodie S,Schreiber F,Villeger A","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-264","created_at":"2021-09-30T08:24:04.571Z","updated_at":"2021-09-30T08:24:04.571Z"},{"id":1278,"pubmed_id":25303525,"title":"gammaCaMKII shuttles Ca(2)(+)/CaM to the nucleus to trigger CREB phosphorylation and gene expression.","year":2014,"url":"http://doi.org/10.1016/j.cell.2014.09.019","authors":"Ma H,Groth RD,Cohen SM,Emery JF,Li B,Hoedt E,Zhang G,Neubert TA,Tsien RW","journal":"Cell","doi":"10.1016/j.cell.2014.09.019","created_at":"2021-09-30T08:24:42.632Z","updated_at":"2021-09-30T08:24:42.632Z"}],"licence_links":[],"grants":[{"id":6874,"fairsharing_record_id":1149,"organisation_id":2147,"relation":"funds","created_at":"2021-09-30T09:28:17.193Z","updated_at":"2021-09-30T09:28:17.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2147,"name":"New Energy and Industrial Technology Development Organization","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6880,"fairsharing_record_id":1149,"organisation_id":938,"relation":"funds","created_at":"2021-09-30T09:28:17.350Z","updated_at":"2021-09-30T09:28:17.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":938,"name":"European Media Laboratory EML Research GmbH","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6873,"fairsharing_record_id":1149,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:17.169Z","updated_at":"2021-09-30T09:28:17.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6875,"fairsharing_record_id":1149,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:17.219Z","updated_at":"2021-09-30T09:28:17.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6876,"fairsharing_record_id":1149,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:17.243Z","updated_at":"2021-09-30T09:28:17.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6877,"fairsharing_record_id":1149,"organisation_id":2238,"relation":"funds","created_at":"2021-09-30T09:28:17.269Z","updated_at":"2021-09-30T09:28:17.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":2238,"name":"Okinawa Institute of Science and Technology Graduate University, OIST","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6878,"fairsharing_record_id":1149,"organisation_id":2495,"relation":"funds","created_at":"2021-09-30T09:28:17.293Z","updated_at":"2021-09-30T09:28:17.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":2495,"name":"SBGN community","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6879,"fairsharing_record_id":1149,"organisation_id":258,"relation":"funds","created_at":"2021-09-30T09:28:17.319Z","updated_at":"2021-09-30T09:28:17.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":258,"name":"Biological Network Modelling Center (BNMC), Beckman Institute, California Institute of Technology (Caltech), Pasadena, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1148","type":"fairsharing_records","attributes":{"created_at":"2020-07-18T12:34:51.000Z","updated_at":"2022-07-20T09:41:26.949Z","metadata":{"doi":"10.25504/FAIRsharing.EZCpPd","name":"Data Documentation Initiative Codebook","status":"ready","contacts":[{"contact_name":"Wendy Thomas","contact_email":"wlt@umn.edu","contact_orcid":"0000-0003-1294-4490"}],"homepage":"https://ddialliance.org/Specification/DDI-Codebook/2.5/","identifier":1148,"description":"Data Documentation Initiative (DDI-Codebook, DDI-C) is a more light-weight version of DDI-Lifecycle, intended primarily to document simple survey data. Originally DTD-based, DDI-C is now available as an XML Schema. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world.","abbreviation":"DDI-Codebook","support_links":[{"url":"http://www.ddialliance.org/contact-us","name":"Contact Form","type":"Contact form"},{"url":"ddisecretariat@umich.edu","name":"DDI Secretariat","type":"Support email"},{"url":"http://www.ddialliance.org/resources/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/field_level_documentation.html","name":"Field-level Documentation","type":"Help documentation"},{"url":"http://www.ddialliance.org/sites/default/files/Specification/readme.txt","name":"Contributors","type":"Help documentation"},{"url":"https://ddialliance.org/resources/markup-examples/2.5","name":"Markup Examples v2.5","type":"Help documentation"},{"url":"http://www.ddialliance.org/training/training-library","name":"Training Library","type":"Training documentation"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"}],"year_creation":2000,"associated_tools":[{"url":"https://ddialliance.org/resources/tools","name":"DDI Tools"}]},"legacy_ids":["bsg-001512","bsg-s001512"],"name":"FAIRsharing record for: Data Documentation Initiative Codebook","abbreviation":"DDI-Codebook","url":"https://fairsharing.org/10.25504/FAIRsharing.EZCpPd","doi":"10.25504/FAIRsharing.EZCpPd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Documentation Initiative (DDI-Codebook, DDI-C) is a more light-weight version of DDI-Lifecycle, intended primarily to document simple survey data. Originally DTD-based, DDI-C is now available as an XML Schema. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18236},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12952},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13344},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13354}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Economics","Social Science","Health Science","Social and Behavioural Science","Biomedical Science"],"domains":["Study design"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1769,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1762,"relation":"undefined"}],"grants":[{"id":6872,"fairsharing_record_id":1148,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:28:17.136Z","updated_at":"2021-09-30T09:28:17.136Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1178","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.325Z","metadata":{"doi":"10.25504/FAIRsharing.d50st0","name":"Ontology of Alternative Medicine, French","status":"uncertain","contacts":[{"contact_name":"Sanou Martin","contact_email":"martinsanou@lavima.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/3090","identifier":1178,"description":"Common concepts for communication between traditional medicine and western medicine. (In French)","abbreviation":"OntoMA","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOMA","name":"ONTOMA","portal":"BioPortal"}]},"legacy_ids":["bsg-002822","bsg-s002822"],"name":"FAIRsharing record for: Ontology of Alternative Medicine, French","abbreviation":"OntoMA","url":"https://fairsharing.org/10.25504/FAIRsharing.d50st0","doi":"10.25504/FAIRsharing.d50st0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Common concepts for communication between traditional medicine and western medicine. (In French)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1266","type":"fairsharing_records","attributes":{"created_at":"2021-03-25T11:38:27.000Z","updated_at":"2022-08-16T08:01:45.570Z","metadata":{"doi":"10.25504/FAIRsharing.1413b5","name":"Thesaurus of Geographic Names","status":"ready","contacts":[{"contact_name":"TGN Editors","contact_email":"TGN@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/tgn/index.html","citations":[],"identifier":1266,"description":"The Thesaurus of Geographic Names (TGN) is a terminology that focuses on places relevant to art, architecture, and related disciplines, recording names, relationships, place types, dates, notes, and coordinates for current and historical cities, nations, empires, archaeological sites, lost settlements, and physical features. The TGN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","abbreviation":"TGN","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabulary Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/tgn/faq.html","name":"TGN FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/tgn/help.html","name":"How to Use the TGN","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/lod/index.html","name":"Getty Vocabularies as Linked Open Data","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/tgn/about.html","name":"About","type":"Help documentation"}],"year_creation":1987},"legacy_ids":["bsg-001599","bsg-s001599"],"name":"FAIRsharing record for: Thesaurus of Geographic Names","abbreviation":"TGN","url":"https://fairsharing.org/10.25504/FAIRsharing.1413b5","doi":"10.25504/FAIRsharing.1413b5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Thesaurus of Geographic Names (TGN) is a terminology that focuses on places relevant to art, architecture, and related disciplines, recording names, relationships, place types, dates, notes, and coordinates for current and historical cities, nations, empires, archaeological sites, lost settlements, and physical features. The TGN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Geography","Art History","Architecture","Ancient Cultures","Fine Arts","History","Human Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":397,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":396,"relation":"undefined"}],"grants":[{"id":7097,"fairsharing_record_id":1266,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:25.632Z","updated_at":"2021-09-30T09:28:25.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1267","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:15:43.636Z","metadata":{"doi":"10.25504/FAIRsharing.vxyt0f","name":"Lipid Ontology","status":"deprecated","contacts":[{"contact_name":"Christopher Baker","contact_email":"bakerc@unb.ca"}],"homepage":"http://purl.bioontology.org/ontology/LiPrO","identifier":1267,"description":"Lipid research is increasingly integrated within systems level biology such as lipidomics where lipid classification is required before appropriate annotation of chemical functions can be applied. The ontology describes the LIPIDMAPS nomenclature classification explicitly using description logics (OWL-DL).","abbreviation":"LiPrO","year_creation":2009,"deprecation_date":"2016-04-07","deprecation_reason":"This ontology has been deprecated within the OBO Foundry."},"legacy_ids":["bsg-000108","bsg-s000108"],"name":"FAIRsharing record for: Lipid Ontology","abbreviation":"LiPrO","url":"https://fairsharing.org/10.25504/FAIRsharing.vxyt0f","doi":"10.25504/FAIRsharing.vxyt0f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Lipid research is increasingly integrated within systems level biology such as lipidomics where lipid classification is required before appropriate annotation of chemical functions can be applied. The ontology describes the LIPIDMAPS nomenclature classification explicitly using description logics (OWL-DL).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Life Science"],"domains":["Lipid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Singapore"],"publications":[{"id":538,"pubmed_id":18315858,"title":"Towards ontology-driven navigation of the lipid bibliosphere.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-S1-S5","authors":"Baker CJ,Kanagasabai R,Ang WT,Veeramani A,Low HS,Wenk MR","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-S1-S5","created_at":"2021-09-30T08:23:18.785Z","updated_at":"2021-09-30T08:23:18.785Z"}],"licence_links":[],"grants":[{"id":7099,"fairsharing_record_id":1267,"organisation_id":3105,"relation":"maintains","created_at":"2021-09-30T09:28:25.720Z","updated_at":"2021-09-30T09:28:25.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":3105,"name":"University of New Brunswick, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7098,"fairsharing_record_id":1267,"organisation_id":37,"relation":"funds","created_at":"2021-09-30T09:28:25.682Z","updated_at":"2021-09-30T09:28:25.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7100,"fairsharing_record_id":1267,"organisation_id":2085,"relation":"maintains","created_at":"2021-09-30T09:28:25.752Z","updated_at":"2021-09-30T09:28:25.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7101,"fairsharing_record_id":1267,"organisation_id":2085,"relation":"funds","created_at":"2021-09-30T09:28:25.783Z","updated_at":"2021-09-30T09:31:42.884Z","grant_id":1294,"is_lead":false,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","grant":"R-183-000-607-712","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1268","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.719Z","metadata":{"doi":"10.25504/FAIRsharing.asg057","name":"Parasite Experiment Ontology","status":"uncertain","contacts":[{"contact_name":"Priti Parikh","contact_email":"priti@knoesis.org","contact_orcid":"0000-0002-1086-4190"}],"homepage":"http://bioportal.bioontology.org/ontologies/PEO","identifier":1268,"description":"The Parasite Experiment Ontology (PEO) models the processes, instruments, parameters, and sample details that will be used to annotate experimental results with “provenance” metadata (derivation history of results). The ontology was created to enable publication of results in journals, conferences with details of the method used to arrive at the result. Please note that the homepage is no longer active, and the ontology has not been updated in BioPortal since 2011. Until we can ascertain the current status of the ontology, we have marked this record as \"Uncertain\".","abbreviation":"PEO","support_links":[{"url":"support@knoesis.org","name":"Kno.e.sis Support","type":"Support email"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PEO","name":"PEO","portal":"BioPortal"}]},"legacy_ids":["bsg-002600","bsg-s002600"],"name":"FAIRsharing record for: Parasite Experiment Ontology","abbreviation":"PEO","url":"https://fairsharing.org/10.25504/FAIRsharing.asg057","doi":"10.25504/FAIRsharing.asg057","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Parasite Experiment Ontology (PEO) models the processes, instruments, parameters, and sample details that will be used to annotate experimental results with “provenance” metadata (derivation history of results). The ontology was created to enable publication of results in journals, conferences with details of the method used to arrive at the result. Please note that the homepage is no longer active, and the ontology has not been updated in BioPortal since 2011. Until we can ascertain the current status of the ontology, we have marked this record as \"Uncertain\".","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Drug","Drug combination effect modeling","Parasite","Life cycle"],"taxonomies":["Homo sapiens","Trypanosoma"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2800,"pubmed_id":null,"title":"Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker","year":2011,"url":"https://corescholar.libraries.wright.edu/knoesis/12/","authors":"Valerie Cross, Cosmin Stroe, Xueheng Hu, Pramit Silwal, Maryam Panahiazar, Isabel F. Cruz, Priti Parikh, Amit P. Sheth","journal":"Conference paper : International Conference on Biomedical Ontology","doi":null,"created_at":"2021-09-30T08:27:44.331Z","updated_at":"2021-09-30T08:27:44.331Z"}],"licence_links":[],"grants":[{"id":7102,"fairsharing_record_id":1268,"organisation_id":556,"relation":"maintains","created_at":"2021-09-30T09:28:25.810Z","updated_at":"2021-09-30T09:28:25.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":556,"name":"College of Engineering and Computer Science (KNO.E.SIS), Fairborn, OH, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7103,"fairsharing_record_id":1268,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:25.834Z","updated_at":"2021-09-30T09:32:19.883Z","grant_id":1570,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01HL087795-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1269","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:46.577Z","metadata":{"doi":"10.25504/FAIRsharing.a4wgws","name":"Real-time PCR Data Markup Language","status":"ready","contacts":[{"contact_name":"Jo Vandesompele","contact_email":"Joke.Vandesompele@UGent.be","contact_orcid":"0000-0001-6274-0184"}],"homepage":"http://rdml.org/","citations":[],"identifier":1269,"description":"The RDML file format is developed by the RDML consortium (http://www.rdml.org) and can be used free of charge. The RDML file format was created to encourage the exchange, publication, revision and re-analysis of raw qPCR data. The core of an RDML file is an experiment, not a PCR run. Therefore all the information is collected which is required to understand an experiment. The structure of the file format was inspired by a database structure. In the file are several master elements, which are then referred to in other parts of the file. This structure allows to reduce the amount of redundant information and encourages the user to provide useful information. The Real-time PCR Data Markup Language (RDML) is a structured and universal data standard for exchanging quantitative PCR (qPCR) data. The data standard should contain sufficient information to understand the experimental setup, re-analyse the data and interpret the results. The data standard is a compressed text file in Extensible Markup Language (XML) and enables transparent exchange of annotated qPCR data between instrument software and third-party data analysis packages, between colleagues and collaborators, and between authors, peer reviewers, journals and readers. To support the public acceptance of this standard, both an on-line RDML file generator is available for end users, as well as RDML software libraries to be used by software developers, enabling import and export of RDML data files.","abbreviation":"RDML","support_links":[{"url":"info@rdml.org","type":"Support email"},{"url":"http://sourceforge.net/projects/rdml/forums","type":"Forum"},{"url":"http://www.rdml.org/files.php","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"http://www.rdml.org/tools.php","name":"RDML Generator"},{"url":"http://www.rdml.org/tools.php?validator","name":"RDML Validator"},{"url":"http://www.rdml.org/tools.php?combinator","name":"RDML Merge Files"}]},"legacy_ids":["bsg-000140","bsg-s000140"],"name":"FAIRsharing record for: Real-time PCR Data Markup Language","abbreviation":"RDML","url":"https://fairsharing.org/10.25504/FAIRsharing.a4wgws","doi":"10.25504/FAIRsharing.a4wgws","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RDML file format is developed by the RDML consortium (http://www.rdml.org) and can be used free of charge. The RDML file format was created to encourage the exchange, publication, revision and re-analysis of raw qPCR data. The core of an RDML file is an experiment, not a PCR run. Therefore all the information is collected which is required to understand an experiment. The structure of the file format was inspired by a database structure. In the file are several master elements, which are then referred to in other parts of the file. This structure allows to reduce the amount of redundant information and encourages the user to provide useful information. The Real-time PCR Data Markup Language (RDML) is a structured and universal data standard for exchanging quantitative PCR (qPCR) data. The data standard should contain sufficient information to understand the experimental setup, re-analyse the data and interpret the results. The data standard is a compressed text file in Extensible Markup Language (XML) and enables transparent exchange of annotated qPCR data between instrument software and third-party data analysis packages, between colleagues and collaborators, and between authors, peer reviewers, journals and readers. To support the public acceptance of this standard, both an on-line RDML file generator is available for end users, as well as RDML software libraries to be used by software developers, enabling import and export of RDML data files.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Experimental measurement","Deoxyribonucleic acid","Ribonucleic acid","Gene expression","Polymerase Chain Reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3,"pubmed_id":19223324,"title":"RDML: structured language and reporting guidelines for real-time quantitative PCR data.","year":2009,"url":"http://doi.org/10.1093/nar/gkp056","authors":"Lefever S, Hellemans J, Pattyn F, Przybylski DR, Taylor C, Geurts R, Untergasser A, Vandesompele J","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp056","created_at":"2021-09-30T08:22:20.897Z","updated_at":"2021-09-30T08:22:20.897Z"},{"id":1506,"pubmed_id":26087842,"title":"RDML-Ninja and RDMLdb for standardized exchange of qPCR data.","year":2015,"url":"http://doi.org/10.1186/s12859-015-0637-6","authors":"Ruijter JM,Lefever S,Anckaert J,Hellemans J,Pfaffl MW,Benes V,Bustin SA,Vandesompele J,Untergasser A","journal":"BMC Bioinformatics","doi":"10.1186/s12859-015-0637-6","created_at":"2021-09-30T08:25:08.594Z","updated_at":"2021-09-30T08:25:08.594Z"}],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":366,"relation":"undefined"}],"grants":[{"id":7105,"fairsharing_record_id":1269,"organisation_id":2407,"relation":"maintains","created_at":"2021-09-30T09:28:25.884Z","updated_at":"2021-09-30T09:28:25.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":2407,"name":"RDML consortium","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7104,"fairsharing_record_id":1269,"organisation_id":2812,"relation":"funds","created_at":"2021-09-30T09:28:25.859Z","updated_at":"2021-09-30T09:31:12.058Z","grant_id":1060,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","grant":"050-71-052","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1270","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-08T13:34:45.630Z","metadata":{"doi":"10.25504/FAIRsharing.namxfm","name":"Functional Genomics Experiment Markup Language","status":"deprecated","contacts":[{"contact_name":"Andy Jones","contact_email":"Andrew.Jones@liverpool.ac.uk"}],"homepage":"http://fuge.sourceforge.net/dev/index.php","citations":[],"identifier":1270,"description":"Functional genomics experiments present many challenges in data archiving, sharing and querying. As the size and complexity of data generated from such experiments grows, so does the requirement for standard data formats. To address these needs, the Functional Genomics Experiment [Object Model / Markup-Language] (FuGE-OM, FuGE-ML) has been created to facilitate the development of data standards.FuGE is a model of the shared components in different functional genomics domains. FuGE facilitates the development of data standards in functional genomics in two ways: 1. FuGE provides a model of common components in functional genomics investigations, such as materials, data, protocols, equipment and software. These models can be extended to develop modular data formats with consistent structure. 2. FuGE provides a framework for capturing complete laboratory workflows, enabling the integration of pre-existing data formats. In this context, FuGE allows the capture of additional metadata that gives formats a context within the complete workflow. FuGE is available as a UML model and an XML Schema","abbreviation":"FuGE-ML","support_links":[{"url":"http://fuge.sourceforge.net/dev/V1Final/FuGE-v1-SpecDoc.doc","type":"Help documentation"},{"url":"fuge-devel@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2005,"deprecation_date":"2022-09-08","deprecation_reason":"This resource is still available at its project repository, however it is no longer in active development."},"legacy_ids":["bsg-000075","bsg-s000075"],"name":"FAIRsharing record for: Functional Genomics Experiment Markup Language","abbreviation":"FuGE-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.namxfm","doi":"10.25504/FAIRsharing.namxfm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Functional genomics experiments present many challenges in data archiving, sharing and querying. As the size and complexity of data generated from such experiments grows, so does the requirement for standard data formats. To address these needs, the Functional Genomics Experiment [Object Model / Markup-Language] (FuGE-OM, FuGE-ML) has been created to facilitate the development of data standards.FuGE is a model of the shared components in different functional genomics domains. FuGE facilitates the development of data standards in functional genomics in two ways: 1. FuGE provides a model of common components in functional genomics investigations, such as materials, data, protocols, equipment and software. These models can be extended to develop modular data formats with consistent structure. 2. FuGE provides a framework for capturing complete laboratory workflows, enabling the integration of pre-existing data formats. In this context, FuGE allows the capture of additional metadata that gives formats a context within the complete workflow. FuGE is available as a UML model and an XML Schema","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12400}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Genomics","Proteomics"],"domains":["Reagent","Biological sample","Assay","Device"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":957,"pubmed_id":17921998,"title":"The Functional Genomics Experiment model (FuGE): an extensible framework for standards in functional genomics.","year":2007,"url":"http://doi.org/10.1038/nbt1347","authors":"Jones AR,Miller M,Aebersold R,Apweiler R,Ball CA,Brazma A,Degreef J,Hardy N,Hermjakob H,Hubbard SJ,Hussey P,Igra M,Jenkins H,Julian RK Jr,Laursen K,Oliver SG,Paton NW,Sansone SA,Sarkans U,Stoeckert CJ Jr,Taylor CF,Whetzel PL,White JA,Spellman P,Pizarro A","journal":"Nat Biotechnol","doi":"10.1038/nbt1347","created_at":"2021-09-30T08:24:05.855Z","updated_at":"2021-09-30T08:24:05.855Z"}],"licence_links":[],"grants":[{"id":7106,"fairsharing_record_id":1270,"organisation_id":1067,"relation":"maintains","created_at":"2021-09-30T09:28:25.915Z","updated_at":"2021-09-30T09:28:25.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":1067,"name":"FuGE working group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7107,"fairsharing_record_id":1270,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:25.954Z","updated_at":"2021-09-30T09:28:25.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7108,"fairsharing_record_id":1270,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:25.986Z","updated_at":"2021-09-30T09:31:50.956Z","grant_id":1354,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1P41HG003619","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1260","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:03:12.577Z","metadata":{"doi":"10.25504/FAIRsharing.zj6y9h","name":"Minimum Information About a Simulation Experiment","status":"ready","contacts":[],"homepage":"https://identifiers.org/combine.specifications:miase","citations":[{"doi":"10.1371/journal.pcbi.1001122","pubmed_id":21552546,"publication_id":1845}],"identifier":1260,"description":"The MIASE Guidelines, initiated by the BioModels.net effort, are a community effort to identify the Minimal Information About a Simulation Experiment, necessary to enable the reproducible simulation experiments. Consequently, the MIASE Guidelines list the information that a modeller needs to provide to enable the execution and reproduction of a numerical simulation experiment, derived from a given set of quantitative models. MIASE is a set of guidelines suitable for use with any structured format for simulation experiments. As such, MIASE is designed to help modelers and software tools to exchange their simulation settings and to foster collaboration.","abbreviation":"MIASE","support_links":[{"url":"http://mibbi.sf.net/projects/MIASE.shtml","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"http://sed-ml.org/","name":"Simulation Experiment Description Markup Language Resources"}]},"legacy_ids":["bsg-000187","bsg-s000187"],"name":"FAIRsharing record for: Minimum Information About a Simulation Experiment","abbreviation":"MIASE","url":"https://fairsharing.org/10.25504/FAIRsharing.zj6y9h","doi":"10.25504/FAIRsharing.zj6y9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIASE Guidelines, initiated by the BioModels.net effort, are a community effort to identify the Minimal Information About a Simulation Experiment, necessary to enable the reproducible simulation experiments. Consequently, the MIASE Guidelines list the information that a modeller needs to provide to enable the execution and reproduction of a numerical simulation experiment, derived from a given set of quantitative models. MIASE is a set of guidelines suitable for use with any structured format for simulation experiments. As such, MIASE is designed to help modelers and software tools to exchange their simulation settings and to foster collaboration.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11179},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11600},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11734},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12078},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12226},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16936}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Life Science"],"domains":["Mathematical model","Annotation","Chemical entity","Modeling and simulation","Enzymatic reaction","Protein","Pathway model"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["France","Germany","India","New Zealand","South Africa","Switzerland","United Kingdom","United States"],"publications":[{"id":1845,"pubmed_id":21552546,"title":"Minimum Information About a Simulation Experiment (MIASE).","year":2011,"url":"http://doi.org/10.1371/journal.pcbi.1001122","authors":"Dagmar Waltemath, Richard Adams, Daniel A. Beard, Frank T. Bergmann, Upinder S. Bhalla, Randall Britten, Vijayalakshmi Chelliah, Michael T. Cooling, Jonathan Cooper, Edmund J. Crampin, Alan Garny, Stefan Hoops, Michael Hucka, Peter Hunter, Edda Klipp, Camille Laibe, Andrew K. Miller, Ion Moraru, David Nickerson, Poul Nielsen, Macha Nikolski, Sven Sahle, Herbert M. Sauro, Henning Schmidt, Jacky L. Snoep, Dominic Tolle, Olaf Wolkenhauer, Nicolas Le Novère","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1001122","created_at":"2021-09-30T08:25:47.197Z","updated_at":"2021-09-30T08:25:47.197Z"}],"licence_links":[],"grants":[{"id":7089,"fairsharing_record_id":1260,"organisation_id":920,"relation":"maintains","created_at":"2021-09-30T09:28:25.424Z","updated_at":"2021-09-30T09:28:25.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7091,"fairsharing_record_id":1260,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:25.477Z","updated_at":"2021-09-30T09:31:53.684Z","grant_id":1375,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01GM081070-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7086,"fairsharing_record_id":1260,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:25.347Z","updated_at":"2021-09-30T09:28:25.347Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7087,"fairsharing_record_id":1260,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:25.376Z","updated_at":"2021-09-30T09:28:25.376Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7090,"fairsharing_record_id":1260,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:28:25.450Z","updated_at":"2021-09-30T09:28:25.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7088,"fairsharing_record_id":1260,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:25.400Z","updated_at":"2021-09-30T09:30:58.458Z","grant_id":960,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"223920","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1261","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T11:44:24.000Z","updated_at":"2022-07-20T12:48:01.324Z","metadata":{"doi":"10.25504/FAIRsharing.cfcf89","name":"ICAT Schema","status":"ready","homepage":"https://icatproject.org/user-documentation/icat-schema/","identifier":1261,"description":"The ICAT Schema, which is based on the CSMD, provides a metadata schema to support Large Facility experimental data, linking all aspects of the research chain from proposal through to publication.","abbreviation":"ICAT Schema","support_links":[{"url":"https://github.com/icatproject/icat.server/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2014},"legacy_ids":["bsg-001313","bsg-s001313"],"name":"FAIRsharing record for: ICAT Schema","abbreviation":"ICAT Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.cfcf89","doi":"10.25504/FAIRsharing.cfcf89","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICAT Schema, which is based on the CSMD, provides a metadata schema to support Large Facility experimental data, linking all aspects of the research chain from proposal through to publication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Biochemistry","Chemistry","Natural Science","Earth Science","Life Science","Materials Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1829,"relation":"undefined"}],"grants":[{"id":7093,"fairsharing_record_id":1261,"organisation_id":1235,"relation":"maintains","created_at":"2021-09-30T09:28:25.526Z","updated_at":"2021-09-30T09:28:25.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":1235,"name":"Helmholtz-Zentrum Berlin fur Materialien und Energie (HZB), Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7092,"fairsharing_record_id":1261,"organisation_id":446,"relation":"maintains","created_at":"2021-09-30T09:28:25.500Z","updated_at":"2021-09-30T09:28:25.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":446,"name":"Central Laser Facility (CLF), Science and Technology Facilities Council, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7094,"fairsharing_record_id":1261,"organisation_id":1557,"relation":"maintains","created_at":"2021-09-30T09:28:25.550Z","updated_at":"2021-09-30T09:28:25.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":1557,"name":"ISIS Neutron and Muon Source, Science and Technology Facilities Council","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1262","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T15:51:31.000Z","updated_at":"2022-07-20T12:29:35.954Z","metadata":{"doi":"10.25504/FAIRsharing.jq69k3","name":"World geographical scheme for recording plant distributions","status":"ready","contacts":[{"contact_name":"Justin F. Moat","contact_email":"J.Moat@kew.org"}],"homepage":"https://github.com/tdwg/prior-standards/tree/master/world-geographical-scheme-for-recording-plant-distributions","identifier":1262,"description":"In setting out to establish standards for data fields in botanical databases, the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) identified at an early stage of its existence a need for an agreed system of geographical units at approximately \"country\" level and upwards for use in recording plant distributions. This would aim to provide a standard which different organisations maintaining databases could adopt so that they could compare and exchange data with each other without loss of information due to incompatible geographical boundaries. The present publication has resulted from the deliberations over a period of three years of a committee of both taxonomic and applied botanists set up to produce such a standard. The system offered covers the whole world and identifies units at four levels, firstly continental, secondly regional (or subcontinental), thirdly at what may be called \"Botanical Country\" level (which may often ignore purely political considerations), and fourthly at a slightly lower level called \"Basic Recording Units\" where political integrity is fully recognised. In many cases, where Botanical Countries have no complicating political factors, the units at Level-3 and Level-4 are identical. Very large countries, however, have been subdivided into more conveniently sized units according to constituent states or provinces. It is a fundamental principle that units at all levels are bounded either by political boundaries which appear on modern maps or by coast lines. Modern geographical information systems have not superseded the need for such a scheme. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":null,"support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://lists.tdwg.org/mailman/listinfo","type":"Mailing list"}],"year_creation":1992},"legacy_ids":["bsg-000632","bsg-s000632"],"name":"FAIRsharing record for: World geographical scheme for recording plant distributions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jq69k3","doi":"10.25504/FAIRsharing.jq69k3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In setting out to establish standards for data fields in botanical databases, the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) identified at an early stage of its existence a need for an agreed system of geographical units at approximately \"country\" level and upwards for use in recording plant distributions. This would aim to provide a standard which different organisations maintaining databases could adopt so that they could compare and exchange data with each other without loss of information due to incompatible geographical boundaries. The present publication has resulted from the deliberations over a period of three years of a committee of both taxonomic and applied botanists set up to produce such a standard. The system offered covers the whole world and identifies units at four levels, firstly continental, secondly regional (or subcontinental), thirdly at what may be called \"Botanical Country\" level (which may often ignore purely political considerations), and fourthly at a slightly lower level called \"Basic Recording Units\" where political integrity is fully recognised. In many cases, where Botanical Countries have no complicating political factors, the units at Level-3 and Level-4 are identical. Very large countries, however, have been subdivided into more conveniently sized units according to constituent states or provinces. It is a fundamental principle that units at all levels are bounded either by political boundaries which appear on modern maps or by coast lines. Modern geographical information systems have not superseded the need for such a scheme. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12280}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity","Life Science"],"domains":["Geographical location"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1264","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-07-20T10:47:52.873Z","metadata":{"doi":"10.25504/FAIRsharing.k3fp3g","name":"Read Clinical Terminology Version 2","status":"deprecated","contacts":[{"contact_name":"NHS Information Authority Loughborough","contact_email":"helpdesk3@nhsccc.exec.nhs.uk"}],"homepage":"https://digital.nhs.uk/article/1104/Read-Codes","identifier":1264,"description":"Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, and as such this record has been marked with a \"Deprecated\" status. CTV3 is due to be retired after the April 2018 release.","abbreviation":"Read v2","support_links":[{"url":"information.standards@hscic.gov.uk","name":"Contact Email","type":"Support email"}],"year_creation":1985,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RCTV2","name":"RCTV2","portal":"BioPortal"}],"deprecation_date":"2018-01-26","deprecation_reason":"This resource is deprecated. The last release of Read v2 was April 2016, with CTV3 due to be retired after the April 2018 release."},"legacy_ids":["bsg-000737","bsg-s000737"],"name":"FAIRsharing record for: Read Clinical Terminology Version 2","abbreviation":"Read v2","url":"https://fairsharing.org/10.25504/FAIRsharing.k3fp3g","doi":"10.25504/FAIRsharing.k3fp3g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, and as such this record has been marked with a \"Deprecated\" status. CTV3 is due to be retired after the April 2018 release.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Primary Health Care","Preclinical Studies"],"domains":["Drug","Diagnosis","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Government Licence (OGL)","licence_id":628,"licence_url":"http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/","link_id":1373,"relation":"undefined"}],"grants":[{"id":7095,"fairsharing_record_id":1264,"organisation_id":2903,"relation":"maintains","created_at":"2021-09-30T09:28:25.577Z","updated_at":"2021-09-30T09:28:25.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":2903,"name":"UK Terminology Centre (UKTC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1254","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T15:57:40.457Z","metadata":{"doi":"10.25504/FAIRsharing.ak8p5g","name":"MicroArray Gene Expression Tabular Format","status":"ready","contacts":[{"contact_name":"Contact support","contact_email":"fged.society@gmail.com","contact_orcid":null}],"homepage":"https://www.fged.org/projects/mage-tab","citations":[],"identifier":1254,"description":"Sharing of microarray data within the research community has been greatly facilitated by the development of the disclosure and communication standards MIAME and MAGE-ML by the FGED Society. However, the complexity of the MAGE-ML format has made its use impractical for laboratories lacking dedicated bioinformatics support. We propose a simple tab-delimited, spreadsheet-based format, MAGE-TAB, which will become a part of the MAGE microarray data standard and can be used for annotating and communicating microarray data in a MIAME compliant fashion. MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML","abbreviation":"MAGE-TAB","support_links":[{"url":"https://twitter.com/FGED","name":"@FGED","type":"Twitter"},{"url":"https://drive.google.com/file/d/1sRmLIhXjyZ6XYjkwJqsukSxRfxLrFEpX/view","name":"MAGE-TAB Specification, Version 1.1 (Released 2011-07-28)","type":"Other"},{"url":"https://www.fged.org/resources","name":"FGED Resources","type":"Help documentation"}],"year_creation":2006,"associated_tools":[{"url":"https://www.fged.org/projects/annotare","name":"Annotare"}]},"legacy_ids":["bsg-000080","bsg-s000080"],"name":"FAIRsharing record for: MicroArray Gene Expression Tabular Format","abbreviation":"MAGE-TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.ak8p5g","doi":"10.25504/FAIRsharing.ak8p5g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Sharing of microarray data within the research community has been greatly facilitated by the development of the disclosure and communication standards MIAME and MAGE-ML by the FGED Society. However, the complexity of the MAGE-ML format has made its use impractical for laboratories lacking dedicated bioinformatics support. We propose a simple tab-delimited, spreadsheet-based format, MAGE-TAB, which will become a part of the MAGE microarray data standard and can be used for annotating and communicating microarray data in a MIAME compliant fashion. MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11134},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11187},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11911}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Epigenomics","Genomics","Bioinformatics"],"domains":["Raw microarray data","Assay","Microarray experiment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","European Union"],"publications":[{"id":5,"pubmed_id":17087822,"title":"A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB.","year":2006,"url":"http://doi.org/10.1186/1471-2105-7-489","authors":"Rayner TF, Rocca-Serra P, Spellman PT, Causton HC, Farne A, Holloway E, Irizarry RA, Liu J, Maier DS, Miller M, Petersen K, Quackenbush J, Sherlock G, Stoeckert CJ Jr, White J, Whetzel PL, Wymore F, Parkinson H, Sarkans U, Ball CA, Brazma A","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-489","created_at":"2021-09-30T08:22:21.104Z","updated_at":"2021-09-30T08:22:21.104Z"}],"licence_links":[],"grants":[{"id":7079,"fairsharing_record_id":1254,"organisation_id":1070,"relation":"funds","created_at":"2021-09-30T09:28:25.152Z","updated_at":"2021-09-30T09:28:25.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":1070,"name":"Functional Genomics Data Society (FGED)","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1255","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-23T13:26:59.637Z","metadata":{"doi":"10.25504/FAIRsharing.j2np9m","name":"Menelas Project Top-Level Ontology","status":"ready","contacts":[{"contact_name":"Jean Charlet","contact_email":"jean.charlet@upmc.fr"}],"homepage":"https://bioportal.lirmm.fr/ontologies/TOP-MENELAS","citations":[],"identifier":1255,"description":"The two main goals MENELAS contributes to are to (i) Provide better account of and better access to medical information through natural languages in order to help physicians in their daily practice, and to (ii) Enhance European cooperation by multilingual access to standardised medical nomenclatures. The major achievements of MENELAS are the realisation of its two functional systems: (i) The Document Indexing System encodes free text PDSs into both an internal representation (a set of Conceptual Graphs) and international nomenclature codes (ICD-9-CM). Instances of the Document Indexing System have been realised for French, English and Dutch ; (ii) The Consultation System allows users to access the information contained in PDSs previously indexed by the Document Indexing System. The test domain for the project was coronary diseases. The existing prototype shows promising results for information retrieval from natural language PDSs and for automatically encoding PDSs into an existing classification such as ICD-9-CM. A set of components, tools, knowledge bases and methods has also been produced by the project. These include language-independent ontology and models for the domain of coronary diseases; conceptual description of the relevant ICD-9-CM codes. This ontology includes a top-ontology, a top-domain ontology and a domain ontology (Coronay diseases surgery). The menelas-top ontology here is the part of the whole ontology without any reference to medical domain.","abbreviation":"TOP-MENELAS","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TOP-MENELAS","name":"TOP-MENELAS","portal":"BioPortal"}]},"legacy_ids":["bsg-000803","bsg-s000803"],"name":"FAIRsharing record for: Menelas Project Top-Level Ontology","abbreviation":"TOP-MENELAS","url":"https://fairsharing.org/10.25504/FAIRsharing.j2np9m","doi":"10.25504/FAIRsharing.j2np9m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The two main goals MENELAS contributes to are to (i) Provide better account of and better access to medical information through natural languages in order to help physicians in their daily practice, and to (ii) Enhance European cooperation by multilingual access to standardised medical nomenclatures. The major achievements of MENELAS are the realisation of its two functional systems: (i) The Document Indexing System encodes free text PDSs into both an internal representation (a set of Conceptual Graphs) and international nomenclature codes (ICD-9-CM). Instances of the Document Indexing System have been realised for French, English and Dutch ; (ii) The Consultation System allows users to access the information contained in PDSs previously indexed by the Document Indexing System. The test domain for the project was coronary diseases. The existing prototype shows promising results for information retrieval from natural language PDSs and for automatically encoding PDSs into an existing classification such as ICD-9-CM. A set of components, tools, knowledge bases and methods has also been produced by the project. These include language-independent ontology and models for the domain of coronary diseases; conceptual description of the relevant ICD-9-CM codes. This ontology includes a top-ontology, a top-domain ontology and a domain ontology (Coronay diseases surgery). The menelas-top ontology here is the part of the whole ontology without any reference to medical domain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Vascular Surgery","Biomedical Science"],"domains":["Cardiovascular disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10447,"fairsharing_record_id":1255,"organisation_id":3927,"relation":"associated_with","created_at":"2023-03-23T13:26:48.332Z","updated_at":"2023-03-23T13:26:48.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":3927,"name":"Laboratoire d'Informatique Médicale et d'Ingénieurie des Connaissances en e-Santé (LIMICS)","types":["Lab"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1256","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-11-08T13:17:20.144Z","metadata":{"doi":"10.25504/FAIRsharing.farr39","name":"G Protein-Coupled Receptor BioAssays Ontology","status":"ready","contacts":[{"contact_name":"Stephan Schurer","contact_email":"sschurer@med.miami.edu"}],"homepage":"http://www.bioassayontology.org/","citations":[],"identifier":1256,"description":"The G protein-coupled receptors (GPCRs) ontology describes pharmacology, biochemistry and physiology of these important and therapeutically promising class of academic and pharmaceutical research targets. Incorporation and comparison of various small molecule screening data sets, such as those deposited in PubChem, ChEMBL, KEGG, PDSP, and/or IUPHAR databases, requires a formalized electronic organization system. In order to bridge the gap between the overflow of HTS data and the bottleneck of integrated analysis tools, herein, we provide the first comprehensive GPCR ontology. The development and utility of GPCR ontology was based on previously developed BioAssay Ontology (BAO). The GPCR ontology contains information about biochemical, pharmacological, and functional properties of individual GPCRs as well as GPCR-selective ligands inclusive of their HTS screening results and other records. This ontology aims to model the relationship between the GPCR binding sites and their physiologic and pharmacologic role in physiology via small molecule chemical structures. ","abbreviation":"BAO-GPCR","support_links":[],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BAO-GPCR","name":"BAO-GPCR","portal":"BioPortal"}]},"legacy_ids":["bsg-000815","bsg-s000815"],"name":"FAIRsharing record for: G Protein-Coupled Receptor BioAssays Ontology","abbreviation":"BAO-GPCR","url":"https://fairsharing.org/10.25504/FAIRsharing.farr39","doi":"10.25504/FAIRsharing.farr39","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The G protein-coupled receptors (GPCRs) ontology describes pharmacology, biochemistry and physiology of these important and therapeutically promising class of academic and pharmaceutical research targets. Incorporation and comparison of various small molecule screening data sets, such as those deposited in PubChem, ChEMBL, KEGG, PDSP, and/or IUPHAR databases, requires a formalized electronic organization system. In order to bridge the gap between the overflow of HTS data and the bottleneck of integrated analysis tools, herein, we provide the first comprehensive GPCR ontology. The development and utility of GPCR ontology was based on previously developed BioAssay Ontology (BAO). The GPCR ontology contains information about biochemical, pharmacological, and functional properties of individual GPCRs as well as GPCR-selective ligands inclusive of their HTS screening results and other records. This ontology aims to model the relationship between the GPCR binding sites and their physiologic and pharmacologic role in physiology via small molecule chemical structures. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Biomedical Science"],"domains":["Small molecule binding","Small molecule","Receptor","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":978,"pubmed_id":25093074,"title":"Evolving BioAssay Ontology (BAO): modularization, integration and applications.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-S1-S5","authors":"Abeyruwan S,Vempati UD,Kucuk-McGinty H,Visser U,Koleti A,Mir A,Sakurai K,Chung C,Bittker JA,Clemons PA,Brudz S,Siripala A,Morales AJ,Romacker M,Twomey D,Bureeva S,Lemmon V,Schurer SC","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-S1-S5","created_at":"2021-09-30T08:24:08.230Z","updated_at":"2021-09-30T08:24:08.230Z"},{"id":2789,"pubmed_id":23155465,"title":"Formalization, annotation and analysis of diverse drug and probe screening assay datasets using the BioAssay Ontology (BAO).","year":2012,"url":"http://doi.org/10.1371/journal.pone.0049198","authors":"Vempati UD,Przydzial MJ,Chung C,Abeyruwan S,Mir A,Sakurai K,Visser U,Lemmon VP,Schurer SC","journal":"PLoS One","doi":"10.1371/journal.pone.0049198","created_at":"2021-09-30T08:27:42.915Z","updated_at":"2021-09-30T08:27:42.915Z"},{"id":2791,"pubmed_id":21702939,"title":"BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-257","authors":"Visser U,Abeyruwan S,Vempati U,Smith RP,Lemmon V,Schurer SC","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-257","created_at":"2021-09-30T08:27:43.197Z","updated_at":"2021-09-30T08:27:43.197Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":3410,"relation":"applies_to_content"}],"grants":[{"id":11079,"fairsharing_record_id":1256,"organisation_id":3790,"relation":"maintains","created_at":"2023-11-08T13:09:54.616Z","updated_at":"2023-11-08T13:09:54.616Z","grant_id":null,"is_lead":true,"saved_state":{"id":3790,"name":"University of Miami Institute for Data Science and Computing","types":["Research institute","University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1249","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:45:16.000Z","updated_at":"2021-11-24T13:18:10.043Z","metadata":{"doi":"10.25504/FAIRsharing.vd694s","name":"Agricultural Metadata Element Set","status":"deprecated","contacts":[],"homepage":"http://aims.fao.org/standards/agmes","citations":[],"identifier":1249,"description":"The Agricultural Metadata Element Set (AgMES) provides a solution to semantic data standards such as the description, resource discovery, interoperability and data exchange for different types of information resources. AgMES as a namespace is designed to include agriculture specific extensions for terms and refinements from established standard metadata namespaces like Dublin Core, AGLS etc.","abbreviation":"AgMES","support_links":[{"url":"http://aims.fao.org/standards/agmes/namespace-specification","name":"AgMES 1.1 Namespace Specification","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2018-10-03","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000706","bsg-s000706"],"name":"FAIRsharing record for: Agricultural Metadata Element Set","abbreviation":"AgMES","url":"https://fairsharing.org/10.25504/FAIRsharing.vd694s","doi":"10.25504/FAIRsharing.vd694s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agricultural Metadata Element Set (AgMES) provides a solution to semantic data standards such as the description, resource discovery, interoperability and data exchange for different types of information resources. AgMES as a namespace is designed to include agriculture specific extensions for terms and refinements from established standard metadata namespaces like Dublin Core, AGLS etc.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Agriculture"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7069,"fairsharing_record_id":1249,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:24.818Z","updated_at":"2021-09-30T09:28:24.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1250","type":"fairsharing_records","attributes":{"created_at":"2020-02-04T11:56:08.000Z","updated_at":"2022-07-20T10:56:25.586Z","metadata":{"name":"Ontology for Experimental Phenotypic Objects","status":"uncertain","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr"}],"homepage":"https://github.com/OpenSILEX/ontology-phis-oepo-field","citations":[],"identifier":1250,"description":"The Ontology for Experimental Phenotypic Objects (OEPO) describes objects involved in phenotyping experiments (e.g. infrastructure, devices, germplasm, scientific objects) and defines a hierarchy between them according to the specificities of the installations and experiments. The OEPO ontology contains three main groups of objects, namely Experimental Condition, Scientific Object, and Germplasm Descriptor. This resource remains available at the listed homepage, but attempts to contact the developers have not been successful. Therefore we have marked OEPO as uncertain. Please get in touch with us if you have any information regarding OEPO.","abbreviation":"OEPO","support_links":[{"url":"llorenc.cabrera-bosquet@inra.fr","name":"Lloren Cabrera-Bosquet","type":"Support email"},{"url":"https://github.com/OpenSILEX/ontology-phis-oepo-field/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2018},"legacy_ids":["bsg-001446","bsg-s001446"],"name":"FAIRsharing record for: Ontology for Experimental Phenotypic Objects","abbreviation":"OEPO","url":"https://fairsharing.org/fairsharing_records/1250","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Experimental Phenotypic Objects (OEPO) describes objects involved in phenotyping experiments (e.g. infrastructure, devices, germplasm, scientific objects) and defines a hierarchy between them according to the specificities of the installations and experiments. The OEPO ontology contains three main groups of objects, namely Experimental Condition, Scientific Object, and Germplasm Descriptor. This resource remains available at the listed homepage, but attempts to contact the developers have not been successful. Therefore we have marked OEPO as uncertain. Please get in touch with us if you have any information regarding OEPO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Experimental measurement","Protocol","Study design","Phenotype","Experimentally determined","Germplasm"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2747,"pubmed_id":30152011,"title":"Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System.","year":2018,"url":"http://doi.org/10.1111/nph.15385","authors":"Neveu P,Tireau A,Hilgert N,Negre V,Mineau-Cesari J,Brichet N,Chapuis R,Sanchez I,Pommier C,Charnomordic B,Tardieu F,Cabrera-Bosquet L","journal":"New Phytol","doi":"10.1111/nph.15385","created_at":"2021-09-30T08:27:37.605Z","updated_at":"2021-09-30T08:27:37.605Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2113,"relation":"undefined"}],"grants":[{"id":7071,"fairsharing_record_id":1250,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:24.890Z","updated_at":"2021-09-30T09:28:24.890Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1251","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:41.569Z","metadata":{"doi":"10.25504/FAIRsharing.qpyp5g","name":"Gating-ML","status":"ready","contacts":[{"contact_name":"Josef Spindlen","contact_email":"jspidlen@bccrc.ca"}],"homepage":"http://flowcyt.sourceforge.net/gating/","identifier":1251,"description":"The Gating-ML specification represents a proposal on how to form unambiguous XML-based gate definitions that may be used independently as well as included as one of the components of ACS. The specification supports rectangular gates in n dimensions (i.e., from one-dimensional range gates up to n-dimensional hyper-rectangular regions), polygon gates in two (and more) dimensions, ellipsoid gates in n dimensions, decision tree structures, and Boolean collections of any of the types of gates. Gates can be uniquely identified and may be ordered into a hierarchical structure to describe a gating strategy. Gates may be applied on parameters as in list mode data files (e.g., FCS files) or on transformed parameters as described by any explicit parameter transformation.","abbreviation":"Gating-ML","support_links":[{"url":"flowcyt-devel@lists.sourceforge.net","type":"Mailing list"},{"url":"http://sourceforge.net/projects/flowcyt/files/","type":"Help documentation"},{"url":"http://flowcyt.sourceforge.net/gating/latest.pdf","type":"Help documentation"}]},"legacy_ids":["bsg-000054","bsg-s000054"],"name":"FAIRsharing record for: Gating-ML","abbreviation":"Gating-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.qpyp5g","doi":"10.25504/FAIRsharing.qpyp5g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gating-ML specification represents a proposal on how to form unambiguous XML-based gate definitions that may be used independently as well as included as one of the components of ACS. The specification supports rectangular gates in n dimensions (i.e., from one-dimensional range gates up to n-dimensional hyper-rectangular regions), polygon gates in two (and more) dimensions, ellipsoid gates in n dimensions, decision tree structures, and Boolean collections of any of the types of gates. Gates can be uniquely identified and may be ordered into a hierarchical structure to describe a gating strategy. Gates may be applied on parameters as in list mode data files (e.g., FCS files) or on transformed parameters as described by any explicit parameter transformation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Flow cytometry assay","Data transformation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1323,"pubmed_id":25976062,"title":"ISAC's Gating-ML 2.0 data exchange standard for gating description.","year":2015,"url":"http://doi.org/10.1002/cyto.a.22690","authors":"Spidlen J,Moore W,Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.22690","created_at":"2021-09-30T08:24:48.042Z","updated_at":"2021-09-30T08:24:48.042Z"},{"id":1381,"pubmed_id":18773465,"title":"Gating-ML: XML-based gating descriptions in flow cytometry.","year":2008,"url":"http://doi.org/10.1002/cyto.a.20637","authors":"Spidlen J,Leif RC,Moore W,Roederer M,Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.20637","created_at":"2021-09-30T08:24:54.442Z","updated_at":"2021-09-30T08:24:54.442Z"},{"id":1829,"pubmed_id":21385382,"title":"Flow cytometry data standards.","year":2011,"url":"http://doi.org/10.1186/1756-0500-4-50","authors":"Spidlen J,Shooshtari P,Kollmann TR,Brinkman RR","journal":"BMC Res Notes","doi":"10.1186/1756-0500-4-50","created_at":"2021-09-30T08:25:45.430Z","updated_at":"2021-09-30T08:25:45.430Z"}],"licence_links":[],"grants":[{"id":7074,"fairsharing_record_id":1251,"organisation_id":2778,"relation":"maintains","created_at":"2021-09-30T09:28:24.988Z","updated_at":"2021-09-30T09:28:24.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":2778,"name":"The Flow Informatics and Computational Cytometry Society (FICCS)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7072,"fairsharing_record_id":1251,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:24.929Z","updated_at":"2021-09-30T09:29:13.252Z","grant_id":144,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 EB008400","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7073,"fairsharing_record_id":1251,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:28:24.959Z","updated_at":"2021-09-30T09:29:04.886Z","grant_id":84,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"1R01EB008400","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7991,"fairsharing_record_id":1251,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:30:16.530Z","updated_at":"2021-09-30T09:30:16.625Z","grant_id":632,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"EB005034","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1252","type":"fairsharing_records","attributes":{"created_at":"2016-11-01T13:24:52.000Z","updated_at":"2023-05-19T09:31:06.466Z","metadata":{"doi":"10.25504/FAIRsharing.s0k240","name":"Template for Intervention Description and Replication","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/tidier/","citations":[],"identifier":1252,"description":"To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The 12 item TIDieR checklist is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). For authors of reports of randomised trials, it is recommended that TIDieR is used in conjunction with the CONSORT checklist: when authors complete item 5 of the CONSORT checklist, they should insert “refer to TIDieR checklist” and provide a separate completed TIDieR checklist. Similarly, for authors submitting protocols of trials, the TIDieR checklist can be referred to when dealing with item 11 of the SPIRIT 2013 checklist (although TIDieR items 10 and 12 are not applicable to protocols as they cannot be completed until the study is complete).","abbreviation":"TIDieR","support_links":[{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"http://www.equator-network.org/reporting-guidelines/tidier/","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-000684","bsg-s000684"],"name":"FAIRsharing record for: Template for Intervention Description and Replication","abbreviation":"TIDieR","url":"https://fairsharing.org/10.25504/FAIRsharing.s0k240","doi":"10.25504/FAIRsharing.s0k240","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The 12 item TIDieR checklist is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). For authors of reports of randomised trials, it is recommended that TIDieR is used in conjunction with the CONSORT checklist: when authors complete item 5 of the CONSORT checklist, they should insert “refer to TIDieR checklist” and provide a separate completed TIDieR checklist. Similarly, for authors submitting protocols of trials, the TIDieR checklist can be referred to when dealing with item 11 of the SPIRIT 2013 checklist (although TIDieR items 10 and 12 are not applicable to protocols as they cannot be completed until the study is complete).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12507}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Canada","France","United Kingdom"],"publications":[{"id":1738,"pubmed_id":24609605,"title":"Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide.","year":2014,"url":"http://doi.org/10.1136/bmj.g1687","authors":"Hoffmann TC,Glasziou PP,Boutron I,Milne R,Perera R,Moher D,Altman DG,Barbour V,Macdonald H,Johnston M,Lamb SE,Dixon-Woods M,McCulloch P,Wyatt JC,Chan AW,Michie S","journal":"BMJ","doi":"10.1136/bmj.g1687","created_at":"2021-09-30T08:25:34.996Z","updated_at":"2021-09-30T08:25:34.996Z"}],"licence_links":[],"grants":[{"id":7075,"fairsharing_record_id":1252,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:28:25.018Z","updated_at":"2021-09-30T09:28:25.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1253","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.396Z","metadata":{"doi":"10.25504/FAIRsharing.5x3gnz","name":"Coding Symbols for a Thesaurus of Adverse Reaction Terms","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@ntis.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/CST/","identifier":1253,"description":"Coding Symbols for Thesaurus of Adverse Reaction Terms (COSTART). 5th ed. Rockville (MD). COSTART is used for coding, filing, and retrieving post-marketing adverse drug and biologic experience reports. COSTART is organized in body system and pathophysiology hierarchies, as well as a separate fetal/neonatal category of less than 20 terms. COSTART has been superseded by the Medical Dictionary for Regulatory Activities (MedDRA) Terminology.","abbreviation":"COSTART","support_links":[{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/CST/","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COSTART","name":"COSTART","portal":"BioPortal"}],"deprecation_date":"2016-05-26","deprecation_reason":"This resource has been been deprecated, with the last update being made in 1999."},"legacy_ids":["bsg-002595","bsg-s002595"],"name":"FAIRsharing record for: Coding Symbols for a Thesaurus of Adverse Reaction Terms","abbreviation":"COSTART","url":"https://fairsharing.org/10.25504/FAIRsharing.5x3gnz","doi":"10.25504/FAIRsharing.5x3gnz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Coding Symbols for Thesaurus of Adverse Reaction Terms (COSTART). 5th ed. Rockville (MD). COSTART is used for coding, filing, and retrieving post-marketing adverse drug and biologic experience reports. COSTART is organized in body system and pathophysiology hierarchies, as well as a separate fetal/neonatal category of less than 20 terms. COSTART has been superseded by the Medical Dictionary for Regulatory Activities (MedDRA) Terminology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Drug","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":1565,"relation":"undefined"}],"grants":[{"id":7076,"fairsharing_record_id":1253,"organisation_id":2952,"relation":"funds","created_at":"2021-09-30T09:28:25.042Z","updated_at":"2021-09-30T09:28:25.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7078,"fairsharing_record_id":1253,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:25.114Z","updated_at":"2021-09-30T09:28:25.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1257","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.545Z","metadata":{"doi":"10.25504/FAIRsharing.mvbjrq","name":"CDISC Study/Trial Design Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/studytrial-design-model-xml/study-design-xml-version-1-0","identifier":1257,"description":"The CDISC Study/Trial Design Model in XML (SDM) is an extension of ODM and enables organizations to provide rigorous, machine-readable, interchangeable descriptions of the designs of their clinical studies, including treatment plans, eligibility and times and events. SDM defines three key sub-modules – Structure, Workflow, and Timing – permitting various levels of detail in any representation of a clinical study’s design.","abbreviation":"CDISC SDM","year_creation":2009},"legacy_ids":["bsg-000566","bsg-s000566"],"name":"FAIRsharing record for: CDISC Study/Trial Design Model","abbreviation":"CDISC SDM","url":"https://fairsharing.org/10.25504/FAIRsharing.mvbjrq","doi":"10.25504/FAIRsharing.mvbjrq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CDISC Study/Trial Design Model in XML (SDM) is an extension of ODM and enables organizations to provide rigorous, machine-readable, interchangeable descriptions of the designs of their clinical studies, including treatment plans, eligibility and times and events. SDM defines three key sub-modules – Structure, Workflow, and Timing – permitting various levels of detail in any representation of a clinical study’s design.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17390},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11195},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11284},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11808},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12041},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12476}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Clinical Studies","Biomedical Science","Preclinical Studies"],"domains":["Cell line","Workflow","Protocol","Study design","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"CDISC Intellectual Property Policy","licence_id":110,"licence_url":"https://www.cdisc.org/sites/default/files/2020-09/cdisc_policy_003_intellectual_property_v2019.pdf","link_id":666,"relation":"undefined"}],"grants":[{"id":7082,"fairsharing_record_id":1257,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:25.242Z","updated_at":"2021-09-30T09:28:25.242Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7081,"fairsharing_record_id":1257,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:28:25.218Z","updated_at":"2021-09-30T09:28:25.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1258","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.899Z","metadata":{"doi":"10.25504/FAIRsharing.zrmjr7","name":"Minimum Information about an array-based toxicogenomics experiment","status":"deprecated","contacts":[{"contact_name":"Susanna-Assunta Sansone","contact_email":"sansone@ebi.ac.uk"}],"homepage":"http://mibbi.sourceforge.net/projects/MIAME-Tox.shtml","identifier":1258,"description":"MIAME/Tox was developed to extend MIAME for array-based toxicogenomics experiments.","abbreviation":"MIAME/Tox","support_links":[{"url":"mged-tox@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2003,"deprecation_date":"2018-04-25","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000191","bsg-s000191"],"name":"FAIRsharing record for: Minimum Information about an array-based toxicogenomics experiment","abbreviation":"MIAME/Tox","url":"https://fairsharing.org/10.25504/FAIRsharing.zrmjr7","doi":"10.25504/FAIRsharing.zrmjr7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME/Tox was developed to extend MIAME for array-based toxicogenomics experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11589},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11991},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16655}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicogenomics","Life Science","Transcriptomics"],"domains":["Expression data","Ribonucleic acid","Small molecule","DNA microarray","Toxicity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":850,"pubmed_id":16901222,"title":"A strategy capitalizing on synergies: the Reporting Structure for Biological Investigation (RSBI) working group.","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.164","authors":"Sansone SA,Rocca-Serra P,Tong W,Fostel J,Morrison N,Jones AR","journal":"OMICS","doi":"10.1089/omi.2006.10.164","created_at":"2021-09-30T08:23:53.822Z","updated_at":"2021-09-30T08:23:53.822Z"}],"licence_links":[],"grants":[{"id":9258,"fairsharing_record_id":1258,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.887Z","updated_at":"2022-04-11T12:07:25.887Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1259","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2023-03-09T10:08:38.031Z","metadata":{"doi":"10.25504/FAIRsharing.wd8j2q","name":"bibliotek-o","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu"}],"homepage":"https://github.com/ld4l-labs/bibliotek-o","citations":[],"identifier":1259,"description":"bibliotek-o is an ontology framework for modeling bibliographic metadata based on the Library of Congress BIBFRAME ontology. It includes: the bibliotek-o ontology, which defines extensions and modifications to BIBFRAME and is intended to be used as a supplement to the core BIBFRAME ontology; a set of external ontology fragments (including BIBFRAME) intended for use with the bibliotek-o ontology; and a data model and application profile - i.e., a set of recommended models and patterns for expressing bibliographic metadata using BIBFRAME, the bibliotek-o ontology, and other external ontologies. bibliotek-o 2017-07-06 Release of Version 1.1.0 will remain frozen until further notice.","abbreviation":"bibliotek-o","support_links":[{"url":"https://github.com/ld4l-labs/bibliotek-o/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/ld4l-labs/bibliotek-o","name":"bibliotek-o GitHub Repository","type":"Github"},{"url":"https://bibliotek-o.org/overview/overview.html","name":"Overview Diagram","type":"Help documentation"},{"url":"https://bibliotek-o.org/overview/overview.html#","name":"Ontology Modules","type":"Help documentation"},{"url":"https://wiki.duraspace.org/display/LD4P/bibliotek-o","name":"bibliotek-o on LD4P","type":"Help documentation"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIBLIOTEK-O","name":"BIBLIOTEK-O","portal":"BioPortal"}]},"legacy_ids":["bsg-000943","bsg-s000943"],"name":"FAIRsharing record for: bibliotek-o","abbreviation":"bibliotek-o","url":"https://fairsharing.org/10.25504/FAIRsharing.wd8j2q","doi":"10.25504/FAIRsharing.wd8j2q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: bibliotek-o is an ontology framework for modeling bibliographic metadata based on the Library of Congress BIBFRAME ontology. It includes: the bibliotek-o ontology, which defines extensions and modifications to BIBFRAME and is intended to be used as a supplement to the core BIBFRAME ontology; a set of external ontology fragments (including BIBFRAME) intended for use with the bibliotek-o ontology; and a data model and application profile - i.e., a set of recommended models and patterns for expressing bibliographic metadata using BIBFRAME, the bibliotek-o ontology, and other external ontologies. bibliotek-o 2017-07-06 Release of Version 1.1.0 will remain frozen until further notice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Subject Agnostic"],"domains":["Citation","Bibliography"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1252,"relation":"undefined"}],"grants":[{"id":7085,"fairsharing_record_id":1259,"organisation_id":95,"relation":"funds","created_at":"2021-09-30T09:28:25.317Z","updated_at":"2021-09-30T09:28:25.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":95,"name":"Andrew W. Mellon Foundation, New York, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7084,"fairsharing_record_id":1259,"organisation_id":1718,"relation":"maintains","created_at":"2021-09-30T09:28:25.292Z","updated_at":"2021-09-30T09:28:25.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":1718,"name":"Linked Data for Production (LD4P), USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1272","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.834Z","metadata":{"doi":"10.25504/FAIRsharing.r87bgr","name":"CDISC Clinical Data Acquisition Standards Harmonization","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/cdash","identifier":1272,"description":"CDASH establishes a standard way to collect data in a similar way across studies and sponsors so that data collection formats and structures provide clear traceability of submission data into the Study Data Tabulation Model (SDTM), delivering more transparency to regulators and others who conduct data review.","abbreviation":"CDISC CDASH","support_links":[{"url":"https://www.cdisc.org/education/course/cdash-implementation","name":"CDASH Implementation","type":"Training documentation"}]},"legacy_ids":["bsg-000053","bsg-s000053"],"name":"FAIRsharing record for: CDISC Clinical Data Acquisition Standards Harmonization","abbreviation":"CDISC CDASH","url":"https://fairsharing.org/10.25504/FAIRsharing.r87bgr","doi":"10.25504/FAIRsharing.r87bgr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDASH establishes a standard way to collect data in a similar way across studies and sponsors so that data collection formats and structures provide clear traceability of submission data into the Study Data Tabulation Model (SDTM), delivering more transparency to regulators and others who conduct data review.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17343},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11017},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11258},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11800},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11914},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12390}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Data acquisition","Report"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7117,"fairsharing_record_id":1272,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:26.376Z","updated_at":"2021-09-30T09:28:26.376Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7118,"fairsharing_record_id":1272,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:26.407Z","updated_at":"2021-09-30T09:28:26.407Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1273","type":"fairsharing_records","attributes":{"created_at":"2016-10-20T18:44:15.000Z","updated_at":"2021-11-24T13:18:46.668Z","metadata":{"doi":"10.25504/FAIRsharing.9xsgcr","name":"Phenotype eXchange Format","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjm@berkeleybop.org"}],"homepage":"https://github.com/phenopackets/phenopacket-format","identifier":1273,"description":"The health of an individual organism results from a complex interplay between its genes and environment. Although great strides have been made in standardizing the representation of genetic information for exchange, there are no comparable standards to represent phenotypes (e.g. patient symptoms and disease features) and environmental factors (Figure 1). Phenotypic abnormalities of individual organisms are currently described in diverse places and in diverse formats: publications, databases, health records, registries, clinical trials, and even social media. However, the lack of standardization, accessibility, and computability among these contexts makes it extremely difficult to effectively extract and utilize these data, hindering the understanding of genetic and environmental contributions to disease.","abbreviation":"PXF","support_links":[{"url":"https://github.com/phenopackets/phenopacket-format/wiki/Tutorial","type":"Github"},{"url":"https://github.com/phenopackets/phenopacket-reference-implementation","type":"Github"},{"url":"https://github.com/phenopackets/phenopacket-format/wiki/Getting-Started","type":"Github"},{"url":"https://f1000research.com/slides/5-1649","type":"Help documentation"}],"year_creation":2015,"associated_tools":[{"url":"https://github.com/phenopackets/pxftools","name":"PXFtools command line utility"},{"url":"https://github.com/phenopackets/phenopacket-python","name":"Phenopacket Python"}]},"legacy_ids":["bsg-000681","bsg-s000681"],"name":"FAIRsharing record for: Phenotype eXchange Format","abbreviation":"PXF","url":"https://fairsharing.org/10.25504/FAIRsharing.9xsgcr","doi":"10.25504/FAIRsharing.9xsgcr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The health of an individual organism results from a complex interplay between its genes and environment. Although great strides have been made in standardizing the representation of genetic information for exchange, there are no comparable standards to represent phenotypes (e.g. patient symptoms and disease features) and environmental factors (Figure 1). Phenotypic abnormalities of individual organisms are currently described in diverse places and in diverse formats: publications, databases, health records, registries, clinical trials, and even social media. However, the lack of standardization, accessibility, and computability among these contexts makes it extremely difficult to effectively extract and utilize these data, hindering the understanding of genetic and environmental contributions to disease.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":["Species-environment interaction"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7119,"fairsharing_record_id":1273,"organisation_id":202,"relation":"maintains","created_at":"2021-09-30T09:28:26.446Z","updated_at":"2021-09-30T09:28:26.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":202,"name":"Berkeley BOP (BBOP), Lawrence Berkeley National Labs (LBNL), Berkeley, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1274","type":"fairsharing_records","attributes":{"created_at":"2018-10-16T19:00:34.000Z","updated_at":"2022-07-20T09:14:41.504Z","metadata":{"doi":"10.25504/FAIRsharing.b7e5d8","name":"Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"fgdc@fgdc.gov"}],"homepage":"https://www.fgdc.gov/standards/projects/csdgm_rs_ex/remote-sensing-metadata","citations":[],"identifier":1274,"description":"This standard provides extensions to the Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata for describing geospatial data obtained from remote sensing.","abbreviation":"FGDC-STD-012-2002","support_links":[{"url":"https://twitter.com/fgdcgov","name":"Twitter","type":"Twitter"}],"year_creation":2002},"legacy_ids":["bsg-001328","bsg-s001328"],"name":"FAIRsharing record for: Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata","abbreviation":"FGDC-STD-012-2002","url":"https://fairsharing.org/10.25504/FAIRsharing.b7e5d8","doi":"10.25504/FAIRsharing.b7e5d8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard provides extensions to the Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata for describing geospatial data obtained from remote sensing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Geological mapping"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7120,"fairsharing_record_id":1274,"organisation_id":1001,"relation":"maintains","created_at":"2021-09-30T09:28:26.478Z","updated_at":"2021-09-30T09:28:26.478Z","grant_id":null,"is_lead":true,"saved_state":{"id":1001,"name":"Federal Geographic Data Committee (FGDC), Virginia, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1265","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-14T07:47:39.370Z","metadata":{"doi":"10.25504/FAIRsharing.qnkw45","name":"Medical Subject Headings","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"publicinfo@nlm.nih.gov"}],"homepage":"http://www.nlm.nih.gov/mesh/","citations":[],"identifier":1265,"description":"The Medical Subject Headings (MeSH®) thesaurus is a controlled vocabulary produced by the National Library of Medicine and used for indexing, cataloging, and searching for biomedical and health-related information and documents. MeSH includes the subject descriptors appearing in MEDLINE®/PubMed® and other NLM databases. MeSH provides a consistent way to find content with different terminology but the same concepts. Many synonyms, near-synonyms, and closely related concepts are included as entry terms to help users find the most relevant MeSH descriptor for the concept they are seeking. In NLM's online databases, many terms entered by searchers are automatically mapped to MeSH descriptors to facilitate retrieval of relevant information. Various online systems provide access to MeSH and the vocabulary is available in several NLM online systems. These include the MeSH Browser, containing the complete contents of the MeSH vocabulary; the MeSH Entrez databases, which are designed to assist those searching MEDLINE®/PubMed®; and the UMLS Metathesaurus® with links to many other controlled vocabularies. MeSH Records contain three types: Descriptors, Qualifiers, and Supplementary Concept Records (SCRs).","abbreviation":"MESH","support_links":[{"url":"https://pubmed.ncbi.nlm.nih.gov/help/#pubmedhelp.Searching_by_using_t","name":"PubMed User Guide","type":"Help documentation"},{"url":"https://learn.nlm.nih.gov/documentation/training-packets/T0042010P/","name":"PubMed® Online Training","type":"Training documentation"},{"url":"https://learn.nlm.nih.gov/documentation/training-packets/T000101112/","name":"Training Packets","type":"Training documentation"},{"url":"https://www.nlm.nih.gov/mesh/whatsnew.html","name":"News","type":"Blog/News"},{"url":"https://list.nih.gov/cgi-bin/wa.exe?SUBED1=NLM-MESH-ANNOUNCE\u0026A=1","name":"NLM MeSH Data News","type":"Mailing list"},{"url":"https://pubmed.ncbi.nlm.nih.gov/help/#using-mesh-database","name":"Using the MeSH database","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/mesh/meshhome.html","name":"Medical Subject Headings Homepage","type":"Other"},{"url":"https://www.nlm.nih.gov/mesh/introduction.html","name":"Introduction to MeSH","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/mesh/pubtypes.html","name":"MeSH Publication Types","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/mesh/subhierarchy.html","name":"MeSH Qualifiers List","type":"Help documentation"}],"year_creation":1960,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MESH","name":"MESH","portal":"BioPortal"}]},"legacy_ids":["bsg-000294","bsg-s000294"],"name":"FAIRsharing record for: Medical Subject Headings","abbreviation":"MESH","url":"https://fairsharing.org/10.25504/FAIRsharing.qnkw45","doi":"10.25504/FAIRsharing.qnkw45","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Medical Subject Headings (MeSH®) thesaurus is a controlled vocabulary produced by the National Library of Medicine and used for indexing, cataloging, and searching for biomedical and health-related information and documents. MeSH includes the subject descriptors appearing in MEDLINE®/PubMed® and other NLM databases. MeSH provides a consistent way to find content with different terminology but the same concepts. Many synonyms, near-synonyms, and closely related concepts are included as entry terms to help users find the most relevant MeSH descriptor for the concept they are seeking. In NLM's online databases, many terms entered by searchers are automatically mapped to MeSH descriptors to facilitate retrieval of relevant information. Various online systems provide access to MeSH and the vocabulary is available in several NLM online systems. These include the MeSH Browser, containing the complete contents of the MeSH vocabulary; the MeSH Entrez databases, which are designed to assist those searching MEDLINE®/PubMed®; and the UMLS Metathesaurus® with links to many other controlled vocabularies. MeSH Records contain three types: Descriptors, Qualifiers, and Supplementary Concept Records (SCRs).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18250},{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17336},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17689},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11169},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12012},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12213},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13200},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13237},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13279}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Life Science","Biomedical Science"],"domains":["Data retrieval","Data model","Literature curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":866,"pubmed_id":13982385,"title":"Medical subject headings.","year":1963,"url":"https://www.ncbi.nlm.nih.gov/pubmed/13982385","authors":"ROGERS FB","journal":"Bull Med Libr Assoc","doi":null,"created_at":"2021-09-30T08:23:55.664Z","updated_at":"2021-09-30T08:23:55.664Z"}],"licence_links":[{"licence_name":"National Library of Medicine Terms and Conditions MeSH","licence_id":1059,"licence_url":"https://www.nlm.nih.gov/databases/download/terms_and_conditions_mesh.html","link_id":3227,"relation":"applies_to_content"},{"licence_name":"UMLS Terminology Services (UTS) License Agreement","licence_id":1060,"licence_url":"https://uts.nlm.nih.gov/uts/assets/LicenseAgreement.pdf","link_id":3228,"relation":"applies_to_content"}],"grants":[{"id":7096,"fairsharing_record_id":1265,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:25.600Z","updated_at":"2021-09-30T09:28:25.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1275","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:31:00.258Z","metadata":{"doi":"10.25504/FAIRsharing.aae3v6","name":"Infectious Disease Ontology Core","status":"deprecated","contacts":[{"contact_name":"Lindsay Cowell","contact_email":"Lindsay.Cowell@utsouthwestern.edu","contact_orcid":"0000-0003-1617-8244"},{"contact_name":"John Beverley","contact_email":"johnbeverley2021@u.northwestern.edu","contact_orcid":"0000-0002-1118-1738"},{"contact_name":"Shane Babcock","contact_email":"babcock8@buffalo.edu","contact_orcid":"0000-0003-0798-114X"}],"homepage":"https://github.com/infectious-disease-ontology/infectious-disease-ontology","citations":[],"identifier":1275,"description":"The IDO ontologies are designed as a set of interoperable ontologies that will together provide coverage of the infectious disease domain. At the core of the set is a general Infectious Disease Ontology (IDO-Core) of entities relevant to both biomedical and clinical aspects of most infectious diseases. Sub-domain specific extensions of IDO-Core complete the set providing ontology coverage of entities relevant to specific pathogens or diseases. Please note that, while the ontology remains available at https://github.com/infectious-disease-ontology/infectious-disease-ontology, it has not been updated in 5 years and should be used with care. Further, the original homepages provided by the resource developers (http://infectiousdiseaseontology.org/ and https://www.bioontology.org//wiki/Index.php/Infectious_Disease_Ontology) are either unavailable or empty.","abbreviation":"IDO","support_links":[{"url":"https://github.com/infectious-disease-ontology/infectious-disease-ontology","name":"IDO on GitHub","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IDO","name":"IDO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ido.html","name":"ido","portal":"OBO Foundry"}],"deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000095","bsg-s000095"],"name":"FAIRsharing record for: Infectious Disease Ontology Core","abbreviation":"IDO","url":"https://fairsharing.org/10.25504/FAIRsharing.aae3v6","doi":"10.25504/FAIRsharing.aae3v6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IDO ontologies are designed as a set of interoperable ontologies that will together provide coverage of the infectious disease domain. At the core of the set is a general Infectious Disease Ontology (IDO-Core) of entities relevant to both biomedical and clinical aspects of most infectious diseases. Sub-domain specific extensions of IDO-Core complete the set providing ontology coverage of entities relevant to specific pathogens or diseases. Please note that, while the ontology remains available at https://github.com/infectious-disease-ontology/infectious-disease-ontology, it has not been updated in 5 years and should be used with care. Further, the original homepages provided by the resource developers (http://infectiousdiseaseontology.org/ and https://www.bioontology.org//wiki/Index.php/Infectious_Disease_Ontology) are either unavailable or empty.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12203},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12412}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Infection Biology","Biomedical Science","Preclinical Studies"],"domains":["Disease process modeling","Disease","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":4162,"pubmed_id":34275487,"title":"The Infectious Disease Ontology in the age of COVID-19.","year":2021,"url":"https://doi.org/10.1186/s13326-021-00245-1","authors":"Babcock S, Beverley J, Cowell LG, Smith B","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-021-00245-1","created_at":"2024-02-29T21:47:32.645Z","updated_at":"2024-02-29T21:47:32.645Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":3516,"relation":"applies_to_content"}],"grants":[{"id":7123,"fairsharing_record_id":1275,"organisation_id":1339,"relation":"maintains","created_at":"2021-09-30T09:28:26.600Z","updated_at":"2021-09-30T09:28:26.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":1339,"name":"Infectious Disease Ontology (IDO) administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7121,"fairsharing_record_id":1275,"organisation_id":335,"relation":"funds","created_at":"2021-09-30T09:28:26.516Z","updated_at":"2021-09-30T09:28:26.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":335,"name":"Burroughs Wellcome Fund","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7122,"fairsharing_record_id":1275,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:26.558Z","updated_at":"2021-09-30T09:28:26.558Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1271","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2021-11-24T13:16:15.891Z","metadata":{"doi":"10.25504/FAIRsharing.2rm2b3","name":"W3C Provenance Ontology","status":"ready","contacts":[{"contact_name":"Timothy Lebo","contact_email":"lebot@rpi.edu"}],"homepage":"http://www.w3.org/TR/prov-o/","identifier":1271,"description":"The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language (OWL2). It is intended for the Linked Data and Semantic Web community. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. PROV-O is one serialization of PROV-DM, the other two being PROV-N and PROV-XML. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-DC provides a mapping from Dublin Core to PROV-O, and is listed in this record. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-O","support_links":[{"url":"team-prov-chairs@w3.org","name":"Provenance Working Group","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-aq/","name":"PROV-AQ: Access and Query","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-dc/","name":"PROV-DC: Links Dublin Core to PROV-O","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PROVO","name":"PROVO","portal":"BioPortal"}]},"legacy_ids":["bsg-000928","bsg-s000928"],"name":"FAIRsharing record for: W3C Provenance Ontology","abbreviation":"PROV-O","url":"https://fairsharing.org/10.25504/FAIRsharing.2rm2b3","doi":"10.25504/FAIRsharing.2rm2b3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language (OWL2). It is intended for the Linked Data and Semantic Web community. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. PROV-O is one serialization of PROV-DM, the other two being PROV-N and PROV-XML. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-DC provides a mapping from Dublin Core to PROV-O, and is listed in this record. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17353},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12943},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13195},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13232},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13283},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13342},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16969}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Spain","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":345,"relation":"undefined"}],"grants":[{"id":7109,"fairsharing_record_id":1271,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:26.024Z","updated_at":"2021-09-30T09:28:26.024Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7111,"fairsharing_record_id":1271,"organisation_id":2249,"relation":"maintains","created_at":"2021-09-30T09:28:26.192Z","updated_at":"2021-09-30T09:28:26.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":2249,"name":"Ontology Engineering Group, Universidad Politecnica de Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7114,"fairsharing_record_id":1271,"organisation_id":379,"relation":"maintains","created_at":"2021-09-30T09:28:26.295Z","updated_at":"2021-09-30T09:28:26.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":379,"name":"Case Western Reserve University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7110,"fairsharing_record_id":1271,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:26.137Z","updated_at":"2021-09-30T09:28:26.137Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7112,"fairsharing_record_id":1271,"organisation_id":3004,"relation":"maintains","created_at":"2021-09-30T09:28:26.229Z","updated_at":"2021-09-30T09:28:26.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":3004,"name":"University of Aberdeen, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7113,"fairsharing_record_id":1271,"organisation_id":2421,"relation":"maintains","created_at":"2021-09-30T09:28:26.262Z","updated_at":"2021-09-30T09:28:26.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":2421,"name":"Rensselaer Polytechnic Institute, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7115,"fairsharing_record_id":1271,"organisation_id":3052,"relation":"maintains","created_at":"2021-09-30T09:28:26.327Z","updated_at":"2021-09-30T09:28:26.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":3052,"name":"University of Edinburgh, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7116,"fairsharing_record_id":1271,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:26.351Z","updated_at":"2021-09-30T09:28:26.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1342","type":"fairsharing_records","attributes":{"created_at":"2016-12-02T03:00:51.000Z","updated_at":"2023-03-28T07:39:04.037Z","metadata":{"doi":"10.25504/FAIRsharing.31hec1","name":"Minimal information about Adaptive Immune Receptor Repertoire","status":"ready","contacts":[{"contact_name":"AIRR Community Standards Working Group","contact_email":"standards@airr-community.org","contact_orcid":null}],"homepage":"https://github.com/airr-community/airr-standards","citations":[{"doi":"10.1038/ni.3873","pubmed_id":29144493,"publication_id":2556}],"identifier":1342,"description":"Minimal information about Adaptive Immune Receptor Repertoire (MiAIRR) is a checklist of minimally required information that we recommend journals adopt, and that could form the requirements for submission to a public data repository. AIRR sequencing studies apply high-throughput sequencing technologies to profile B cell receptors (BCRs) and T cell receptors (TCRs). The standards were developed by the AIRR Community (http://airr-community.org) Minimal Standards Working Group.","abbreviation":"MiAIRR","support_links":[{"url":"https://github.com/airr-community/airr-standards/blob/master/specs/airr-schema.yaml","name":"YAML file for AIRR Standards","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-000689","bsg-s000689"],"name":"FAIRsharing record for: Minimal information about Adaptive Immune Receptor Repertoire","abbreviation":"MiAIRR","url":"https://fairsharing.org/10.25504/FAIRsharing.31hec1","doi":"10.25504/FAIRsharing.31hec1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal information about Adaptive Immune Receptor Repertoire (MiAIRR) is a checklist of minimally required information that we recommend journals adopt, and that could form the requirements for submission to a public data repository. AIRR sequencing studies apply high-throughput sequencing technologies to profile B cell receptors (BCRs) and T cell receptors (TCRs). The standards were developed by the AIRR Community (http://airr-community.org) Minimal Standards Working Group.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11819}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunogenetics","Immunology","Life Science"],"domains":["Immunoglobulin complex","T cell receptor complex","Antibody","Sequencing","Immune system"],"taxonomies":["Gnathostomata"],"user_defined_tags":[],"countries":["Canada","France","Germany","Luxembourg","United States"],"publications":[{"id":2556,"pubmed_id":29144493,"title":"Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data.","year":2017,"url":"http://doi.org/10.1038/ni.3873","authors":"Rubelt F,Busse CE,Bukhari SAC,Burckert JP,Mariotti-Ferrandiz E,Cowell LG,Watson CT,Marthandan N,Faison WJ,Hershberg U,Laserson U,Corrie BD,Davis MM,Peters B,Lefranc MP,Scott JK,Breden F,Luning Prak ET,Kleinstein SH","journal":"Nat Immunol","doi":"10.1038/ni.3873","created_at":"2021-09-30T08:27:13.455Z","updated_at":"2021-09-30T08:27:13.455Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":885,"relation":"undefined"}],"grants":[{"id":7264,"fairsharing_record_id":1342,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:31.785Z","updated_at":"2021-09-30T09:28:31.785Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1343","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-14T15:12:52.319Z","metadata":{"doi":"10.25504/FAIRsharing.qaee9n","name":"ChemDraw Native File Format","status":"ready","contacts":[],"homepage":"https://en.wikipedia.org/wiki/CDX_Format","citations":[],"identifier":1343,"description":"CDX is the native file format of ChemDraw, and is guaranteed to save anything drawn in ChemDraw without loss of data. At the same time, however, its architecture was carefully designed to make it a flexible and general-purpose chemical format. It is intended to be a practical choice for use by non-graphical programs, i.e. ones dealing in connection tables rather than desktop publishing. Because of its ability to incorporate custom information, and because it is in the public domain, CDX has been adopted by the U.S. Patent Office as its standard chemical format. Originally developed by the CambridgeSoft Corporation, and later a subsidiary of PerkinElmer, it is now part of Revvity Signals (https://revvitysignals.com/products/research/chemdraw). Currently, the CDX specification is unavailable on the Revvity Signals website, and so the best solution is to point to the wikipedia page for now. Please get in touch with us if you have an authoritative URL for the specification, or this record's status may need to be revised.","abbreviation":"CDX","support_links":[{"url":"http://www.cambridgesoft.com/contact/support/form/","name":"Support / Contact Form","type":"Contact form"},{"url":"http://www.cambridgesoft.com/support/","name":"Support and Help","type":"Help documentation"}]},"legacy_ids":["bsg-000218","bsg-s000218"],"name":"FAIRsharing record for: ChemDraw Native File Format","abbreviation":"CDX","url":"https://fairsharing.org/10.25504/FAIRsharing.qaee9n","doi":"10.25504/FAIRsharing.qaee9n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDX is the native file format of ChemDraw, and is guaranteed to save anything drawn in ChemDraw without loss of data. At the same time, however, its architecture was carefully designed to make it a flexible and general-purpose chemical format. It is intended to be a practical choice for use by non-graphical programs, i.e. ones dealing in connection tables rather than desktop publishing. Because of its ability to incorporate custom information, and because it is in the public domain, CDX has been adopted by the U.S. Patent Office as its standard chemical format. Originally developed by the CambridgeSoft Corporation, and later a subsidiary of PerkinElmer, it is now part of Revvity Signals (https://revvitysignals.com/products/research/chemdraw). Currently, the CDX specification is unavailable on the Revvity Signals website, and so the best solution is to point to the wikipedia page for now. Please get in touch with us if you have an authoritative URL for the specification, or this record's status may need to be revised.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11733}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Molecular structure","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7265,"fairsharing_record_id":1343,"organisation_id":2307,"relation":"maintains","created_at":"2021-09-30T09:28:31.817Z","updated_at":"2021-09-30T09:28:31.817Z","grant_id":null,"is_lead":false,"saved_state":{"id":2307,"name":"PerkinElmer Inc","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1344","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T11:27:10.000Z","updated_at":"2022-02-08T10:28:45.288Z","metadata":{"doi":"10.25504/FAIRsharing.fe7cda","name":"W3C Provenance XML Schema","status":"ready","contacts":[{"contact_name":"Luc Moreau","contact_email":"l.moreau@ecs.soton.ac.uk","contact_orcid":"0000-0001-5418-6881"}],"homepage":"http://www.w3.org/TR/prov-xml/","identifier":1344,"description":"PROV-XML defines an XML schema for the provenance data model (PROV-DM). This is intended for developers who need a native XML serialization of the PROV data model. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-XML","support_links":[{"url":"team-prov-chairs@w3.org","name":"Provenance Working Group","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001294","bsg-s001294"],"name":"FAIRsharing record for: W3C Provenance XML Schema","abbreviation":"PROV-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.fe7cda","doi":"10.25504/FAIRsharing.fe7cda","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROV-XML defines an XML schema for the provenance data model (PROV-DM). This is intended for developers who need a native XML serialization of the PROV data model. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1855,"relation":"undefined"}],"grants":[{"id":7267,"fairsharing_record_id":1344,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:31.884Z","updated_at":"2021-09-30T09:28:31.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7266,"fairsharing_record_id":1344,"organisation_id":3122,"relation":"maintains","created_at":"2021-09-30T09:28:31.850Z","updated_at":"2021-09-30T09:28:31.850Z","grant_id":null,"is_lead":false,"saved_state":{"id":3122,"name":"University of Southampton, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1345","type":"fairsharing_records","attributes":{"created_at":"2018-06-29T17:49:00.000Z","updated_at":"2021-11-24T13:18:47.207Z","metadata":{"name":"mirGFF3","status":"in_development","contacts":[{"contact_name":"Lorena Pantano","contact_email":"lpantano@iscb.org","contact_orcid":"0000-0002-3859-3249"}],"homepage":"https://github.com/miRTop/mirGFF3","identifier":1345,"description":"Define a GFF3 format for output of small RNA pipelines. Here, we present a community based, open source project to work toward the standardization of miRNA pipelines and encourage the development of downstream tools for visualization, differential expression, sample clustering, and model prediction analyses. This project is an international collaboration, with experts from different countries that have been developing miRNA pipelines and resources. We have described a standard format for the output of miRNA detection and quantification tools using small RNA-seq data. The format is based on the GFF3 standard in order to support reference coordinates and parent/child relationships between the features. The format contains information foreach sequence and its annotation to the miRNA precursor, the definition of reference or isomiR sequence, its quality, the isomiR type, and abundance in the data set. Moreover, we support a command line python tool to manage the miRNA GFF3 format (miRTop). Currently, miRTop can convert the output of commonly used small RNA-Seq pipelines, such as seqbuster, isomiR-SEA, sRNAbench, and Prost!, as well as BAM files to the miRNA GFF3 format. Importantly, the miRge pipeline has adapted the GFF3 format natively. miRTop can convert miRNA GFF3 files to a count matrix that can be easily imported to any downstream tool (i.e. for differential expression analysis).","abbreviation":"mirGFF3","support_links":[{"url":"https://github.com/miRTop/mirtop/issues","name":"issues with API","type":"Github"},{"url":"https://github.com/miRTop/incubator/issues","name":"issues","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://mirtop.readthedocs.io/en/latest/","name":"mirtop 0.3"}]},"legacy_ids":["bsg-001218","bsg-s001218"],"name":"FAIRsharing record for: mirGFF3","abbreviation":"mirGFF3","url":"https://fairsharing.org/fairsharing_records/1345","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Define a GFF3 format for output of small RNA pipelines. Here, we present a community based, open source project to work toward the standardization of miRNA pipelines and encourage the development of downstream tools for visualization, differential expression, sample clustering, and model prediction analyses. This project is an international collaboration, with experts from different countries that have been developing miRNA pipelines and resources. We have described a standard format for the output of miRNA detection and quantification tools using small RNA-seq data. The format is based on the GFF3 standard in order to support reference coordinates and parent/child relationships between the features. The format contains information foreach sequence and its annotation to the miRNA precursor, the definition of reference or isomiR sequence, its quality, the isomiR type, and abundance in the data set. Moreover, we support a command line python tool to manage the miRNA GFF3 format (miRTop). Currently, miRTop can convert the output of commonly used small RNA-Seq pipelines, such as seqbuster, isomiR-SEA, sRNAbench, and Prost!, as well as BAM files to the miRNA GFF3 format. Importantly, the miRge pipeline has adapted the GFF3 format natively. miRTop can convert miRNA GFF3 files to a count matrix that can be easily imported to any downstream tool (i.e. for differential expression analysis).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12537}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Transcriptomics"],"domains":["RNA sequencing","Micro RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy","Norway","Spain","United States"],"publications":[],"licence_links":[{"licence_name":"mirGFF3 MIT License Document","licence_id":515,"licence_url":"https://github.com/miRTop/mirtop/blob/master/LICENSE","link_id":1353,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1354,"relation":"undefined"}],"grants":[{"id":7268,"fairsharing_record_id":1345,"organisation_id":1878,"relation":"maintains","created_at":"2021-09-30T09:28:31.918Z","updated_at":"2021-09-30T09:28:31.918Z","grant_id":null,"is_lead":true,"saved_state":{"id":1878,"name":"miRNA-Transcriptomic Open Project (miRTOP)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1346","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:48:42.939Z","metadata":{"doi":"10.25504/FAIRsharing.g201pt","name":"Agri-Food Experiment Ontology","status":"uncertain","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr","contact_orcid":"0000-0001-8501-6922"}],"homepage":"http://agroportal.lirmm.fr/ontologies/AFEO","citations":[{"doi":"10.1016/j.compag.2017.06.020","publication_id":1148}],"identifier":1346,"description":"The Agri-Food Experiment Ontology (AFEO) is based on two existing ontology resources, OAE (Ontology for Agriculture Experiment) and OFPE (Ontology for Food Processing Experiment). It covers various viticultural practices, winemaking products and operations. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","abbreviation":"AFEO","year_creation":2016},"legacy_ids":["bsg-001110","bsg-s001110"],"name":"FAIRsharing record for: Agri-Food Experiment Ontology","abbreviation":"AFEO","url":"https://fairsharing.org/10.25504/FAIRsharing.g201pt","doi":"10.25504/FAIRsharing.g201pt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agri-Food Experiment Ontology (AFEO) is based on two existing ontology resources, OAE (Ontology for Agriculture Experiment) and OFPE (Ontology for Food Processing Experiment). It covers various viticultural practices, winemaking products and operations. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Agriculture","Life Science","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Indonesia"],"publications":[{"id":1148,"pubmed_id":null,"title":"A generic ontological network for Agri-food experiment integration – Application to viticulture and winemaking","year":2017,"url":"http://doi.org/10.1016/j.compag.2017.06.020","authors":"Aunur Rofiq Muljarto, Jean-Michel Salmon, Brigitte Charnomordic, Patrice Buche, Anne Tireau, Pascal Neveu","journal":"Computers and Electronics in Agriculture, Volume 140, pages 433-442","doi":"10.1016/j.compag.2017.06.020","created_at":"2021-09-30T08:24:27.622Z","updated_at":"2021-09-30T08:24:27.622Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1471,"relation":"undefined"}],"grants":[{"id":7270,"fairsharing_record_id":1346,"organisation_id":1880,"relation":"maintains","created_at":"2021-09-30T09:28:31.966Z","updated_at":"2021-09-30T09:28:31.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":1880,"name":"MISTEA Research Laboratory, Institut national de la recherche agronomique (INRA), Paris, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7269,"fairsharing_record_id":1346,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:31.941Z","updated_at":"2021-09-30T09:28:31.941Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7271,"fairsharing_record_id":1346,"organisation_id":665,"relation":"maintains","created_at":"2021-09-30T09:28:31.991Z","updated_at":"2021-09-30T09:28:31.991Z","grant_id":null,"is_lead":false,"saved_state":{"id":665,"name":"Department of Agroindustrial Technology, Brawijaya University, Indonesia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1347","type":"fairsharing_records","attributes":{"created_at":"2016-11-25T10:52:40.000Z","updated_at":"2021-11-24T13:18:47.286Z","metadata":{"doi":"10.25504/FAIRsharing.bfqdc8","name":"Generic Feature Format Version 2","status":"deprecated","homepage":"http://gmod.org/wiki/GFF2","identifier":1347,"description":"GFF2 is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3. Unfortunately, data is sometimes only available in GFF2 format. GFF2 has a number of shortcomings compared to GFF3. GFF2 can only represent 2 level feature hierarchies, while GFF3 can support arbitrary levels. GFF2 also does not require that column 3, the feature type, be part of the sequence ontology. It can be any string. This often led to quality control and data exchange problems. The GFF format is a flat tab-delimited file, each line of which corresponds to an annotation, or feature. Each line has nine columns.","abbreviation":"GFF2","deprecation_date":"2016-11-25","deprecation_reason":"According to the GMOD website, this format has been superseded by GFF3 (https://biosharing.org/bsg-s000235)."},"legacy_ids":["bsg-000688","bsg-s000688"],"name":"FAIRsharing record for: Generic Feature Format Version 2","abbreviation":"GFF2","url":"https://fairsharing.org/10.25504/FAIRsharing.bfqdc8","doi":"10.25504/FAIRsharing.bfqdc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GFF2 is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3. Unfortunately, data is sometimes only available in GFF2 format. GFF2 has a number of shortcomings compared to GFF3. GFF2 can only represent 2 level feature hierarchies, while GFF3 can support arbitrary levels. GFF2 also does not require that column 3, the feature type, be part of the sequence ontology. It can be any string. This often led to quality control and data exchange problems. The GFF format is a flat tab-delimited file, each line of which corresponds to an annotation, or feature. Each line has nine columns.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"GNU Free Documentation License","licence_id":353,"licence_url":"http://www.gnu.org/licenses/fdl-1.3.html","link_id":52,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1358","type":"fairsharing_records","attributes":{"created_at":"2018-10-04T10:55:03.000Z","updated_at":"2022-07-20T09:10:14.284Z","metadata":{"doi":"10.25504/FAIRsharing.10bab4","name":"CSV Dialect Description Format","status":"ready","contacts":[],"homepage":"http://frictionlessdata.io/specs/csv-dialect/","citations":[],"identifier":1358,"description":"CSV Dialect defines a simple format to describe the various dialects of CSV files in a language agnostic manner. It aims to deal with a reasonably large subset of the features which differ between dialects, such as terminator strings, quoting rules, escape rules and so on. The specification has been modeled around the union of the csv modules in Python and Ruby, and the bulk load capabilities of MySQL and PostgresQL. CSV Dialect has nothing to do with the names, contents or types of the headers or data within the CSV file, only how it is formatted. However, CSV Dialect does allow the presence or absence of a header to be specified, similarly to RFC4180. CSV Dialect is also orthogonal to the character encoding used in the CSV file. Note that it is possible for files in CSV format to contain data in more than one encoding.","abbreviation":"CSV-DDF","support_links":[{"url":"https://discuss.okfn.org/c/frictionless-data","name":"Frictionless Data Forum","type":"Forum"},{"url":"http://frictionlessdata.io/data-packages/","name":"Data Packages Explained","type":"Help documentation"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/frictionlessdata/datapackage-js","name":"JavaScript library"},{"url":"https://github.com/frictionlessdata/datapackage-py","name":"Python library"}]},"legacy_ids":["bsg-001303","bsg-s001303"],"name":"FAIRsharing record for: CSV Dialect Description Format","abbreviation":"CSV-DDF","url":"https://fairsharing.org/10.25504/FAIRsharing.10bab4","doi":"10.25504/FAIRsharing.10bab4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CSV Dialect defines a simple format to describe the various dialects of CSV files in a language agnostic manner. It aims to deal with a reasonably large subset of the features which differ between dialects, such as terminator strings, quoting rules, escape rules and so on. The specification has been modeled around the union of the csv modules in Python and Ruby, and the bulk load capabilities of MySQL and PostgresQL. CSV Dialect has nothing to do with the names, contents or types of the headers or data within the CSV file, only how it is formatted. However, CSV Dialect does allow the presence or absence of a header to be specified, similarly to RFC4180. CSV Dialect is also orthogonal to the character encoding used in the CSV file. Note that it is possible for files in CSV format to contain data in more than one encoding.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United Kingdom","Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":667,"relation":"undefined"}],"grants":[{"id":7284,"fairsharing_record_id":1358,"organisation_id":1063,"relation":"maintains","created_at":"2021-09-30T09:28:32.497Z","updated_at":"2021-09-30T09:28:32.497Z","grant_id":null,"is_lead":true,"saved_state":{"id":1063,"name":"Frictionless Data, Open Knowledge International, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1359","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T12:54:27.000Z","updated_at":"2022-02-08T10:29:04.510Z","metadata":{"doi":"10.25504/FAIRsharing.18b8b4","name":"Marine Community Profile of ISO 19115","status":"ready","contacts":[{"contact_name":"AODN General Contact","contact_email":"info@aodn.org.au"}],"homepage":"https://mcp-profile-docs.readthedocs.io/en/stable/index.html","identifier":1359,"description":"Marine Community Profile of ISO 19115 includes all ISO 19115 core metadata elements and selected non-core elements. The Marine Profile has also defined supplementary metadata elements and codelists to meet the needs of the marine community to support the documentation and discovery of marine resources. While, in late 2016 and early 2017 the AODN Technical Advisory Group met to hold exploratory discussions regarding a port of MCP 2.0 to ISO 19115-1, the current version relates to ISO 19115:2003. However, work has begun on a very preliminary document was compiled outlining the main ISO 19115-1 elements (and extensions) that may be required in a port that would continue to satisfy AODN Portal requirements.","abbreviation":"MCP of ISO 19115","year_creation":2006},"legacy_ids":["bsg-001309","bsg-s001309"],"name":"FAIRsharing record for: Marine Community Profile of ISO 19115","abbreviation":"MCP of ISO 19115","url":"https://fairsharing.org/10.25504/FAIRsharing.18b8b4","doi":"10.25504/FAIRsharing.18b8b4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Marine Community Profile of ISO 19115 includes all ISO 19115 core metadata elements and selected non-core elements. The Marine Profile has also defined supplementary metadata elements and codelists to meet the needs of the marine community to support the documentation and discovery of marine resources. While, in late 2016 and early 2017 the AODN Technical Advisory Group met to hold exploratory discussions regarding a port of MCP 2.0 to ISO 19115-1, the current version relates to ISO 19115:2003. However, work has begun on a very preliminary document was compiled outlining the main ISO 19115-1 elements (and extensions) that may be required in a port that would continue to satisfy AODN Portal requirements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":414,"relation":"undefined"}],"grants":[{"id":7285,"fairsharing_record_id":1359,"organisation_id":148,"relation":"maintains","created_at":"2021-09-30T09:28:32.535Z","updated_at":"2021-09-30T09:28:32.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":148,"name":"Australian Ocean Data Network, Australia","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1360","type":"fairsharing_records","attributes":{"created_at":"2019-11-07T12:43:00.000Z","updated_at":"2021-11-24T13:18:47.428Z","metadata":{"doi":"10.25504/FAIRsharing.yIYItV","name":"Transcription Factor Class Schema","status":"ready","contacts":[{"contact_name":"Edgar Wingender","contact_email":"edgar.wingender@bioinf.med.uni-goettingen.de","contact_orcid":"0000-0002-7729-8453"}],"homepage":"http://www.edgar-wingender.de/TFClass_schema.html","citations":[{"doi":"10.1093/nar/gks1123","pubmed_id":23180794,"publication_id":2618}],"identifier":1360,"description":"The TFClass Schema is an identifier schema for classifying transcription factors according to a six-level schema, four of which are abstractions according to different criteria, while the fifth level represents TF genes and the sixth individual gene products. The first four levels of the TFClass schema are Superclass, Class, Family and Subfamily, with Subfamily an optional category. Two lower levels represent physical entities (i.e. genes and gene products) and have been termed Genera and Species (or \"molecular species\", to avoid confusion with biological species).","abbreviation":"TFClass Schema","year_creation":2012},"legacy_ids":["bsg-001402","bsg-s001402"],"name":"FAIRsharing record for: Transcription Factor Class Schema","abbreviation":"TFClass Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.yIYItV","doi":"10.25504/FAIRsharing.yIYItV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TFClass Schema is an identifier schema for classifying transcription factors according to a six-level schema, four of which are abstractions according to different criteria, while the fifth level represents TF genes and the sixth individual gene products. The first four levels of the TFClass schema are Superclass, Class, Family and Subfamily, with Subfamily an optional category. Two lower levels represent physical entities (i.e. genes and gene products) and have been termed Genera and Species (or \"molecular species\", to avoid confusion with biological species).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12549}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Life Science","Transcriptomics"],"domains":["Expression data","Centrally registered identifier","Transcription factor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2618,"pubmed_id":23180794,"title":"TFClass: an expandable hierarchical classification of human transcription factors.","year":2012,"url":"http://doi.org/10.1093/nar/gks1123","authors":"Wingender E,Schoeps T,Donitz J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1123","created_at":"2021-09-30T08:27:21.435Z","updated_at":"2021-09-30T11:29:40.511Z"}],"licence_links":[],"grants":[{"id":7286,"fairsharing_record_id":1360,"organisation_id":1422,"relation":"maintains","created_at":"2021-09-30T09:28:32.573Z","updated_at":"2021-09-30T09:28:32.573Z","grant_id":null,"is_lead":true,"saved_state":{"id":1422,"name":"Institute of Medical Bioinformatics, University Medical Center Goettingen, Georg August University, Goettingen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1361","type":"fairsharing_records","attributes":{"created_at":"2019-01-02T11:51:26.000Z","updated_at":"2022-07-20T10:52:30.494Z","metadata":{"doi":"10.25504/FAIRsharing.QyajjI","name":"Unified Data Model","status":"ready","contacts":[{"contact_name":"Gabrielle Whittick","contact_email":"gabrielle.whittick@pistoiaalliance.org"}],"homepage":"https://www.pistoiaalliance.org/projects/udm/","citations":[],"identifier":1361,"description":"The aim of the Unified Data Model (UDM) project is to create and publish an open and freely available data format for storage and exchange of experimental information about compound synthesis and biological testing. Originally maintained by Elsevier, ownership of this file format has been transferred to the Pistoia Alliance. Development of the standard is currently focused on making the format more generic and vendor-neutral as well as extending it to cover various screening and compound testing experiments.","abbreviation":"UDM","support_links":[{"url":"UDMinfo@pistoiaalliance.org","name":"UDM Helpdesk","type":"Support email"},{"url":"https://twitter.com/pistoiaalliance","name":"@pistoiaalliance","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001340","bsg-s001340"],"name":"FAIRsharing record for: Unified Data Model","abbreviation":"UDM","url":"https://fairsharing.org/10.25504/FAIRsharing.QyajjI","doi":"10.25504/FAIRsharing.QyajjI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of the Unified Data Model (UDM) project is to create and publish an open and freely available data format for storage and exchange of experimental information about compound synthesis and biological testing. Originally maintained by Elsevier, ownership of this file format has been transferred to the Pistoia Alliance. Development of the standard is currently focused on making the format more generic and vendor-neutral as well as extending it to cover various screening and compound testing experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Drug Discovery","Synthetic Chemistry","Biomedical Science"],"domains":["Reaction data","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"UDM Pistoia alliance","licence_id":805,"licence_url":"https://drive.google.com/file/d/1RFuwW-MO1-sXajMadd73TVlKLBvP2U7p/view","link_id":1714,"relation":"undefined"}],"grants":[{"id":7287,"fairsharing_record_id":1361,"organisation_id":2327,"relation":"maintains","created_at":"2021-09-30T09:28:32.615Z","updated_at":"2021-09-30T09:28:32.615Z","grant_id":null,"is_lead":true,"saved_state":{"id":2327,"name":"Pistoia Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7290,"fairsharing_record_id":1361,"organisation_id":283,"relation":"funds","created_at":"2021-09-30T09:28:32.726Z","updated_at":"2021-09-30T09:28:32.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":283,"name":"Biovia","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7292,"fairsharing_record_id":1361,"organisation_id":2455,"relation":"funds","created_at":"2021-09-30T09:28:32.776Z","updated_at":"2021-09-30T09:28:32.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":2455,"name":"Roche","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7288,"fairsharing_record_id":1361,"organisation_id":2194,"relation":"funds","created_at":"2021-09-30T09:28:32.656Z","updated_at":"2021-09-30T09:28:32.656Z","grant_id":null,"is_lead":false,"saved_state":{"id":2194,"name":"Novartis","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7289,"fairsharing_record_id":1361,"organisation_id":848,"relation":"funds","created_at":"2021-09-30T09:28:32.694Z","updated_at":"2021-09-30T09:28:32.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":848,"name":"Elsevier","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":9326,"fairsharing_record_id":1361,"organisation_id":403,"relation":"funds","created_at":"2022-04-11T12:07:30.612Z","updated_at":"2022-04-11T12:07:30.612Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1362","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:48:50.000Z","updated_at":"2022-12-13T10:26:53.777Z","metadata":{"doi":"10.25504/FAIRsharing.9a3ok9","name":"Simple Line Access Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SLAP/index.html","citations":[{"publication_id":2921}],"identifier":1362,"description":"The Simple Line Access Protocol (SLAP) is an IVOA Data Access protocol which defines a protocol for retrieving spectral lines coming from various Spectral Line Data Collections through a uniform interface within the VO framework. These lines can be either observed or theoretical and will be typically used to identify emission or absorption features in astronomical spectra. It makes use of the Simple Spectral Line Data Model (SSLDM) to characterize spectral lines through the use of uTypes. Physical quantities of units are described by using the standard Units DM. SLAP services can be registered in an IVOA Registry of Resources using the VOResource Extension standard, having a unique ResourceIdentifier in the Registry. The SLAP interface is meant to be reasonably simple to implement by service providers. A basic query will be done in a wavelength range for the different services. The service returns a list of spectral lines formatted as a VOTable. Thus, an implementation of the service may support additional search parameters (some which may be custom to that particular service) to more finely control the selection of spectral lines. The specification also describes how the search on extra parameters has to be done, making use of the support provided by the Simple Spectral Line Data Model (SSLDM).","abbreviation":"SLAP","year_creation":2010},"legacy_ids":["bsg-001155","bsg-s001155"],"name":"FAIRsharing record for: Simple Line Access Protocol","abbreviation":"SLAP","url":"https://fairsharing.org/10.25504/FAIRsharing.9a3ok9","doi":"10.25504/FAIRsharing.9a3ok9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Line Access Protocol (SLAP) is an IVOA Data Access protocol which defines a protocol for retrieving spectral lines coming from various Spectral Line Data Collections through a uniform interface within the VO framework. These lines can be either observed or theoretical and will be typically used to identify emission or absorption features in astronomical spectra. It makes use of the Simple Spectral Line Data Model (SSLDM) to characterize spectral lines through the use of uTypes. Physical quantities of units are described by using the standard Units DM. SLAP services can be registered in an IVOA Registry of Resources using the VOResource Extension standard, having a unique ResourceIdentifier in the Registry. The SLAP interface is meant to be reasonably simple to implement by service providers. A basic query will be done in a wavelength range for the different services. The service returns a list of spectral lines formatted as a VOTable. Thus, an implementation of the service may support additional search parameters (some which may be custom to that particular service) to more finely control the selection of spectral lines. The specification also describes how the search on extra parameters has to be done, making use of the support provided by the Simple Spectral Line Data Model (SSLDM).","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11451}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2921,"pubmed_id":null,"title":"Simple Line Access Protocol Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.specQ1209O","authors":"Osuna, Pedro; Salgado, Jesus; Guainazzi, Matteo; Barbarisi, Isa; Dubernet, Marie-Lise; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:59.718Z","updated_at":"2021-09-30T08:27:59.718Z"}],"licence_links":[],"grants":[{"id":7293,"fairsharing_record_id":1362,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:32.806Z","updated_at":"2021-09-30T09:28:32.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7294,"fairsharing_record_id":1362,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:32.857Z","updated_at":"2021-09-30T09:28:32.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1339","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-01T10:39:36.641Z","metadata":{"doi":"10.25504/FAIRsharing.njqq5b","name":"ISA-TAB-Nano","status":"ready","contacts":[{"contact_name":"Mervi Heiskanen","contact_email":"heiskame@mail.nih.gov","contact_orcid":"0000-0001-6862-9196"}],"homepage":"https://wiki.nci.nih.gov/display/ICR/ISA-TAB-Nano","citations":[{"doi":"10.1186/1472-6750-13-2","pubmed_id":23311978,"publication_id":247}],"identifier":1339,"description":"ISA-TAB-Nano specifies the format for representing and sharing information about nanomaterials, small molecules and biological specimens along with their assay characterization data (including metadata, and summary data) using spreadsheet or TAB-delimited files.","abbreviation":"ISA-TAB-Nano","support_links":[{"url":"https://wiki.nci.nih.gov/download/attachments/253887742/ISA-TAB-Nano_Overview_508_c.pptx","name":"Powerpoint presentation","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000517","bsg-s000517"],"name":"FAIRsharing record for: ISA-TAB-Nano","abbreviation":"ISA-TAB-Nano","url":"https://fairsharing.org/10.25504/FAIRsharing.njqq5b","doi":"10.25504/FAIRsharing.njqq5b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISA-TAB-Nano specifies the format for representing and sharing information about nanomaterials, small molecules and biological specimens along with their assay characterization data (including metadata, and summary data) using spreadsheet or TAB-delimited files.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12037}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Oncology","Nanotechnology","Life Science","Biomedical Science"],"domains":["Resource metadata","Nanoparticle","Cell line","Assay","Intervention design","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":247,"pubmed_id":23311978,"title":"ISA-TAB-Nano: a specification for sharing nanomaterial research data in spreadsheet-based format.","year":2013,"url":"http://doi.org/10.1186/1472-6750-13-2","authors":"Thomas DG, Gaheen S, Harper SL, Fritts M, Klaessig F, Hahn-Dantona E, Paik D, Pan S, Stafford GA, Freund ET, Klemm JD, Baker NA.","journal":"BMC biotechnology","doi":"10.1186/1472-6750-13-2","created_at":"2021-09-30T08:22:46.731Z","updated_at":"2021-09-30T08:22:46.731Z"}],"licence_links":[],"grants":[{"id":8273,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:31:51.807Z","updated_at":"2021-09-30T09:31:51.864Z","grant_id":1361,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01 GM069702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7259,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:28:31.615Z","updated_at":"2021-09-30T09:30:42.940Z","grant_id":836,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54 CA119367","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7257,"fairsharing_record_id":1339,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:28:31.536Z","updated_at":"2021-09-30T09:30:59.907Z","grant_id":971,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"ES016896-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8200,"fairsharing_record_id":1339,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:31:28.914Z","updated_at":"2021-09-30T09:31:28.959Z","grant_id":1189,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"P30 ES03850","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8336,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:09.418Z","updated_at":"2021-09-30T09:32:09.497Z","grant_id":1493,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8430,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:36.452Z","updated_at":"2021-09-30T09:32:36.504Z","grant_id":1697,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U01 NS073457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8473,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:48.635Z","updated_at":"2021-09-30T09:32:48.682Z","grant_id":1785,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54 CA151459","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7258,"fairsharing_record_id":1339,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:28:31.572Z","updated_at":"2021-09-30T09:28:31.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute at Frederick","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7260,"fairsharing_record_id":1339,"organisation_id":49,"relation":"funds","created_at":"2021-09-30T09:28:31.642Z","updated_at":"2021-09-30T09:31:46.585Z","grant_id":1320,"is_lead":false,"saved_state":{"id":49,"name":"Air Force Research Laboratory, USA","grant":"FA8650-05-1-5041","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1340","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T11:28:38.000Z","updated_at":"2022-02-08T10:28:46.859Z","metadata":{"doi":"10.25504/FAIRsharing.36c7ea","name":"W3C Provenance Data Model","status":"ready","contacts":[{"contact_name":"Luc Moreau","contact_email":"l.moreau@ecs.soton.ac.uk","contact_orcid":"0000-0002-3494-120X"}],"homepage":"http://www.w3.org/TR/prov-dm/","identifier":1340,"description":"PROV-DM defines a conceptual data model for provenance including UML diagrams. PROV-O, PROV-XML and PROV-N are serializations of this conceptual model. A companion document, PROV-CONSTRAINTS, is linked within this record and specifies the set of constraints that provenance should follow. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-Dictionary is also referenced within this record, and describes Dictionary, a specific type of Collection with a logical structure consisting of key-entity pairs and created to facilitate the modeling of provenance for dictionary data structures. PROV-SEM, a model-theoretic semantics for the PROV data model, is also linked. Bundles of provenance descriptions can be linked by PROV-LINKS, also listed below. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-DM","support_links":[{"url":"team-prov-chairs@w3.org","name":"Provenance Working Group","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-aq/","name":"PROV-AQ: Access and Query","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-dictionary/","name":"PROV-Dictionary","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-links/","name":"PROV-LINKS","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-constraints/","name":"PROV-CONSTRAINTS","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-sem/","name":"PROV-SEM","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001295","bsg-s001295"],"name":"FAIRsharing record for: W3C Provenance Data Model","abbreviation":"PROV-DM","url":"https://fairsharing.org/10.25504/FAIRsharing.36c7ea","doi":"10.25504/FAIRsharing.36c7ea","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROV-DM defines a conceptual data model for provenance including UML diagrams. PROV-O, PROV-XML and PROV-N are serializations of this conceptual model. A companion document, PROV-CONSTRAINTS, is linked within this record and specifies the set of constraints that provenance should follow. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-Dictionary is also referenced within this record, and describes Dictionary, a specific type of Collection with a logical structure consisting of key-entity pairs and created to facilitate the modeling of provenance for dictionary data structures. PROV-SEM, a model-theoretic semantics for the PROV data model, is also linked. Bundles of provenance descriptions can be linked by PROV-LINKS, also listed below. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17352},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16967}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1121,"relation":"undefined"}],"grants":[{"id":7261,"fairsharing_record_id":1340,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:31.671Z","updated_at":"2021-09-30T09:28:31.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1341","type":"fairsharing_records","attributes":{"created_at":"2015-09-28T10:27:20.000Z","updated_at":"2022-07-20T11:10:43.178Z","metadata":{"doi":"10.25504/FAIRsharing.q7kr4s","name":"Observations and Measurements - XML Implementation","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"simon.cox@csiro.au","contact_orcid":"0000-0002-3884-3420"}],"homepage":"http://www.opengeospatial.org/standards/om","identifier":1341,"description":"This standard specifies an XML implementation for the OGC and ISO Observations and Measurements (O\u0026M) conceptual model (OGC Observations and Measurements v2.0 also published as ISO/DIS 19156), including a schema for Sampling Features. This encoding is an essential dependency for the OGC Sensor Observation Service (SOS) Interface Standard. More specifically, this standard defines XML schemas for observations, and for features involved in sampling when making observations. These provide document models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities.","abbreviation":"OMXML","year_creation":2010},"legacy_ids":["bsg-000620","bsg-s000620"],"name":"FAIRsharing record for: Observations and Measurements - XML Implementation","abbreviation":"OMXML","url":"https://fairsharing.org/10.25504/FAIRsharing.q7kr4s","doi":"10.25504/FAIRsharing.q7kr4s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard specifies an XML implementation for the OGC and ISO Observations and Measurements (O\u0026M) conceptual model (OGC Observations and Measurements v2.0 also published as ISO/DIS 19156), including a schema for Sampling Features. This encoding is an essential dependency for the OGC Sensor Observation Service (SOS) Interface Standard. More specifically, this standard defines XML schemas for observations, and for features involved in sampling when making observations. These provide document models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science","Earth Science"],"domains":["Resource metadata","Experimental measurement","Observation design","Measurement"],"taxonomies":["All"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["Belgium","Germany","United Kingdom","Worldwide"],"publications":[{"id":669,"pubmed_id":null,"title":"Observations and Measurements - XML Implementation","year":2010,"url":"https://repository.oceanbestpractices.org/handle/11329/1101","authors":"Simon J D Cox","journal":"OGC Implementation Specification","doi":null,"created_at":"2021-09-30T08:23:33.835Z","updated_at":"2021-09-30T11:28:30.246Z"}],"licence_links":[],"grants":[{"id":7262,"fairsharing_record_id":1341,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:31.710Z","updated_at":"2021-09-30T09:28:31.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7263,"fairsharing_record_id":1341,"organisation_id":624,"relation":"undefined","created_at":"2021-09-30T09:28:31.743Z","updated_at":"2021-09-30T09:28:31.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":624,"name":"CSIRO Land and Water, Highett, Australia","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1348","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:47.671Z","metadata":{"doi":"10.25504/FAIRsharing.dnk0f6","name":"Generic Feature Format Version 3","status":"ready","homepage":"https://github.com/The-Sequence-Ontology/Specifications/blob/master/gff3.md","identifier":1348,"description":"The Generic Feature Format Version 3 (GFF3) format was developed after earlier formats, although widely used, became fragmented into multiple incompatible dialects. The GFF3 format addresses the most common extensions to GFF, while preserving backward compatibility with previous formats. GFF3 files are nine-column, tab-delimited, plain text files. Literal use of tab, newline, carriage return, the percent (%) sign, and control characters must be encoded using RFC 3986 Percent-Encoding; no other characters may be encoded. Backslash and other ad-hoc escaping conventions that have been added to the GFF format are not allowed. The file contents may include any character in the set supported by the operating environment, although for portability with other systems, use of Latin-1 or Unicode are recommended.","abbreviation":"GFF3","support_links":[{"url":"https://github.com/The-Sequence-Ontology/Specifications/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/python-programming-primer","name":"Python programming primer","type":"TeSS links to training materials"}],"year_creation":2006,"associated_tools":[{"url":"https://github.com/modENCODE-DCC/validator","name":"GFF3 Validator"}]},"legacy_ids":["bsg-000235","bsg-s000235"],"name":"FAIRsharing record for: Generic Feature Format Version 3","abbreviation":"GFF3","url":"https://fairsharing.org/10.25504/FAIRsharing.dnk0f6","doi":"10.25504/FAIRsharing.dnk0f6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Generic Feature Format Version 3 (GFF3) format was developed after earlier formats, although widely used, became fragmented into multiple incompatible dialects. The GFF3 format addresses the most common extensions to GFF, while preserving backward compatibility with previous formats. GFF3 files are nine-column, tab-delimited, plain text files. Literal use of tab, newline, carriage return, the percent (%) sign, and control characters must be encoded using RFC 3986 Percent-Encoding; no other characters may be encoded. Backslash and other ad-hoc escaping conventions that have been added to the GFF format are not allowed. The file contents may include any character in the set supported by the operating environment, although for portability with other systems, use of Latin-1 or Unicode are recommended.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11612},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11860},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12000},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12435},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16923}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Expression data","DNA sequence data","Annotation","Transcription factor binding site prediction","Deoxyribonucleic acid","Gene feature","Exon","Messenger RNA","Coding sequence","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7272,"fairsharing_record_id":1348,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:28:32.017Z","updated_at":"2021-09-30T09:28:32.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1349","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:53:36.045Z","metadata":{"doi":"10.25504/FAIRsharing.md3e78","name":"Audubon Core Multimedia Resources Metadata Schema","status":"ready","contacts":[{"contact_name":"Patricia Mergen","contact_email":"secretary@tdwg.org","contact_orcid":"0000-0003-2848-8231"}],"homepage":"https://ac.tdwg.org/introduction/","citations":[],"identifier":1349,"description":"The Audubon Core Multimedia Resources Metadata schema (“AC schema”, or simply “AC”) is a set of metadata vocabularies for describing biodiversity-related multimedia resources and collections. The specification is independent of how these vocabularies may be represented for machine use. An Audubon Core record is a description of a multimedia resource using the Audubon Core terms. Two kinds of terms are specified by AC: record-level terms and access-level terms.","abbreviation":"AC","support_links":[{"url":"http://lists.tdwg.org/mailman/listinfo","name":"TDWG Mailing List","type":"Mailing list"},{"url":"https://github.com/tdwg/ac","name":"AC Interest Group GitHub Repository","type":"Github"},{"url":"https://github.com/tdwg/ac/issues","name":"Issue Tracker","type":"Contact form"},{"url":"https://ac.tdwg.org/guide/","name":"User Guide","type":"Help documentation"},{"url":"https://ac.tdwg.org/structure/","name":"Introduction to AC Structure","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-000203","bsg-s000203"],"name":"FAIRsharing record for: Audubon Core Multimedia Resources Metadata Schema","abbreviation":"AC","url":"https://fairsharing.org/10.25504/FAIRsharing.md3e78","doi":"10.25504/FAIRsharing.md3e78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Audubon Core Multimedia Resources Metadata schema (“AC schema”, or simply “AC”) is a set of metadata vocabularies for describing biodiversity-related multimedia resources and collections. The specification is independent of how these vocabularies may be represented for machine use. An Audubon Core record is a description of a multimedia resource using the Audubon Core terms. Two kinds of terms are specified by AC: record-level terms and access-level terms.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12271}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":["Image","Multimedia"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":823,"pubmed_id":null,"title":"Discovery and publishing of primary Biodiversity Data associated with multimedia resources: The Audubon Core Strategies and approaches","year":2013,"url":"http://doi.org/10.17161/bi.v8i2.4117","authors":"Robert Morris, Vijay Barve, Mihail Carausu, Vishwas Chavan, José Cuadra, Chris Freeland, Gregor Hagedorn, Patrick Leary, Dimitry Mozzherin, Annette Olson, Gregory Riccardi, Ivan Teage, Greg Whitbread","journal":"Biodiversity Informatics","doi":"10.17161/bi.v8i2.4117","created_at":"2021-09-30T08:23:50.730Z","updated_at":"2021-09-30T08:23:50.730Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2646,"relation":"applies_to_content"}],"grants":[{"id":7273,"fairsharing_record_id":1349,"organisation_id":1097,"relation":"maintains","created_at":"2021-09-30T09:28:32.041Z","updated_at":"2022-03-30T09:27:18.151Z","grant_id":null,"is_lead":true,"saved_state":{"id":1097,"name":"GBIF/TDWG Multimedia Resources Task Group, Boston, MA, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1350","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-05T14:23:10.482Z","metadata":{"doi":"10.25504/FAIRsharing.ydnwd9","name":"Ontology of General Purpose Datatypes","status":"deprecated","contacts":[{"contact_name":"Pance Panov","contact_email":"pance.panov@ijs.si","contact_orcid":"0000-0002-7685-9140"}],"homepage":"http://www.ontodm.com/doku.php?id=ontodt","citations":[],"identifier":1350,"description":"This ontology contains entities such as: datatype, datatype generator, datatype quality and others giving the possibility to represent arbitrary complex datatypes. This is an important fact for a general data mining ontology that wants to represent and query over modeling algorithms for mining structured data. The ontology was first developed under the OntoDM (Ontology of Data Mining is available at http://kt.ijs.si/panovp/OntoDM) ontology, but for generality and reuse purpose it was decided to export it as a separate ontology. Additionally, the OntoDT ontology is based on and ISO/IEC 11404 (http://www.iso.org/iso/catalogue_detail.htm?csnumber=39479) standard and can be reused used independently by any domain ontology that requires representation and reasoning about general purpose datatypes.","abbreviation":"OntoDT","support_links":[{"url":"https://www.dropbox.com/s/0w1gwjja76sipgi/PanovPhD2012.pdf","name":"A Modular Ontology of Data Mining.","type":"Help documentation"}],"year_creation":1996,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTODT","name":"ONTODT","portal":"BioPortal"}],"deprecation_date":"2023-04-05","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002717","bsg-s002717"],"name":"FAIRsharing record for: Ontology of General Purpose Datatypes","abbreviation":"OntoDT","url":"https://fairsharing.org/10.25504/FAIRsharing.ydnwd9","doi":"10.25504/FAIRsharing.ydnwd9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology contains entities such as: datatype, datatype generator, datatype quality and others giving the possibility to represent arbitrary complex datatypes. This is an important fact for a general data mining ontology that wants to represent and query over modeling algorithms for mining structured data. The ontology was first developed under the OntoDM (Ontology of Data Mining is available at http://kt.ijs.si/panovp/OntoDM) ontology, but for generality and reuse purpose it was decided to export it as a separate ontology. Additionally, the OntoDT ontology is based on and ISO/IEC 11404 (http://www.iso.org/iso/catalogue_detail.htm?csnumber=39479) standard and can be reused used independently by any domain ontology that requires representation and reasoning about general purpose datatypes.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12030}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Data Management","Life Science","Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["data science"],"countries":["Slovenia"],"publications":[{"id":1324,"pubmed_id":null,"title":"Generic ontology of datatypes","year":2016,"url":"http://doi.org/10.1016/j.ins.2015.08.006","authors":"PančePanova, Larisa N. Soldatovad, Sašo Džeroskiabc","journal":"Information Sciences","doi":"10.1016/j.ins.2015.08.006","created_at":"2021-09-30T08:24:48.152Z","updated_at":"2021-09-30T08:24:48.152Z"}],"licence_links":[],"grants":[{"id":7276,"fairsharing_record_id":1350,"organisation_id":696,"relation":"maintains","created_at":"2021-09-30T09:28:32.152Z","updated_at":"2021-09-30T09:28:32.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":696,"name":"Department of Computer Science, Brunel University, London, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7274,"fairsharing_record_id":1350,"organisation_id":721,"relation":"maintains","created_at":"2021-09-30T09:28:32.072Z","updated_at":"2021-09-30T09:28:32.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":721,"name":"Department of Knowledge Technologies, Jozef Stefan institute, Ljubljana, Slovenia","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7275,"fairsharing_record_id":1350,"organisation_id":441,"relation":"maintains","created_at":"2021-09-30T09:28:32.114Z","updated_at":"2021-09-30T09:28:32.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":441,"name":"Center of Excellence for Integrated Approaches in Chemistry and Biology of Proteins, Ljubljana, Slovenia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1333","type":"fairsharing_records","attributes":{"created_at":"2015-06-10T09:45:47.000Z","updated_at":"2022-04-11T13:20:05.822Z","metadata":{"doi":"10.25504/FAIRsharing.2b3at8","name":"Marine Microbial Biodiversity, Bioinformatics, Biotechnology Checklist","status":"ready","contacts":[{"contact_name":"Petra ten Hoopen","contact_email":"petra@ebi.ac.uk","contact_orcid":"0000-0003-4242-4015"}],"homepage":"http://www.ebi.ac.uk/ena/submit/microb3-checklist","citations":[{"doi":"10.1186/s40793-015-0001-5","pubmed_id":26203332,"publication_id":1787}],"identifier":1333,"description":"The Micro B3 checklist is a multi-disciplinary standard developed by the Micro B3 Consortium for description of marine microbial sampling. Content of the standard is grouped into six categories covering various aspects of marine microbial sampling. These categories are environment, measurement, sampling, event, sample and organism. Full adoption of the standard allows generation of data records, which are MIxS compliant but also compliant to minimal reporting requirements of the oceanographic and marine biodiversity community, i.e. respectively the Common Data Index (CDI) and the OBIS schema, advancing the metadata interoperability across research domains. Nucleotide sequences of marine microbial samples described according to the Micro B3 checklist can be placed into a very rich environmental context. This checklist had originally been called the M2B3 checklist","abbreviation":"Micro B3","support_links":[{"url":"http://www.microb3.eu/sites/default/files/osd/OSD_Handbook_June_2015.pdf","name":"OSD Handbook","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-000592","bsg-s000592"],"name":"FAIRsharing record for: Marine Microbial Biodiversity, Bioinformatics, Biotechnology Checklist","abbreviation":"Micro B3","url":"https://fairsharing.org/10.25504/FAIRsharing.2b3at8","doi":"10.25504/FAIRsharing.2b3at8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Micro B3 checklist is a multi-disciplinary standard developed by the Micro B3 Consortium for description of marine microbial sampling. Content of the standard is grouped into six categories covering various aspects of marine microbial sampling. These categories are environment, measurement, sampling, event, sample and organism. Full adoption of the standard allows generation of data records, which are MIxS compliant but also compliant to minimal reporting requirements of the oceanographic and marine biodiversity community, i.e. respectively the Common Data Index (CDI) and the OBIS schema, advancing the metadata interoperability across research domains. Nucleotide sequences of marine microbial samples described according to the Micro B3 checklist can be placed into a very rich environmental context. This checklist had originally been called the M2B3 checklist","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12485},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16037}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genomics","Biodiversity","Life Science","Oceanography"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Interoperability"],"countries":["Belgium","Germany","Netherlands","United Kingdom"],"publications":[{"id":1787,"pubmed_id":26203332,"title":"Marine microbial biodiversity, bioinformatics and biotechnology (M2B3) data reporting and service standards.","year":2015,"url":"http://doi.org/10.1186/s40793-015-0001-5","authors":"Ten Hoopen P,Pesant S,Kottmann R,Kopf A,Bicak M,Claus S,Deneudt K,Borremans C,Thijsse P,Dekeyzer S,Schaap DM,Bowler C,Glockner FO,Cochrane G","journal":"Stand Genomic Sci","doi":"10.1186/s40793-015-0001-5","created_at":"2021-09-30T08:25:40.538Z","updated_at":"2021-09-30T08:25:40.538Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1380,"relation":"undefined"}],"grants":[{"id":7241,"fairsharing_record_id":1333,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:30.856Z","updated_at":"2022-04-11T13:20:05.811Z","grant_id":1535,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"287589","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7234,"fairsharing_record_id":1333,"organisation_id":1483,"relation":"maintains","created_at":"2021-09-30T09:28:30.668Z","updated_at":"2021-09-30T09:28:30.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":1483,"name":"International Council for the Exploration of the Sea (ICES), Copenhagen, Denmark","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7236,"fairsharing_record_id":1333,"organisation_id":2777,"relation":"maintains","created_at":"2021-09-30T09:28:30.731Z","updated_at":"2021-09-30T09:28:30.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":2777,"name":"The Flanders Marine Institute (VLIZ), Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7240,"fairsharing_record_id":1333,"organisation_id":1061,"relation":"maintains","created_at":"2021-09-30T09:28:30.831Z","updated_at":"2021-09-30T09:28:30.831Z","grant_id":null,"is_lead":false,"saved_state":{"id":1061,"name":"French Research Institute for Exploitation of the Sea (IFREMER), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7233,"fairsharing_record_id":1333,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:30.629Z","updated_at":"2021-09-30T09:28:30.629Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7235,"fairsharing_record_id":1333,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:30.707Z","updated_at":"2021-09-30T09:28:30.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":7237,"fairsharing_record_id":1333,"organisation_id":1787,"relation":"maintains","created_at":"2021-09-30T09:28:30.756Z","updated_at":"2021-09-30T09:28:30.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":1787,"name":"Max Planck Institute for Marine Microbiology (MPIMM), Bremen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7238,"fairsharing_record_id":1333,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:30.781Z","updated_at":"2021-09-30T09:28:30.781Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7239,"fairsharing_record_id":1333,"organisation_id":1757,"relation":"maintains","created_at":"2021-09-30T09:28:30.806Z","updated_at":"2021-09-30T09:28:30.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":1757,"name":"Marine and Ocean Data Management (MARIS), Voorburg, The Netherlands","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7242,"fairsharing_record_id":1333,"organisation_id":663,"relation":"maintains","created_at":"2021-09-30T09:28:30.882Z","updated_at":"2021-09-30T09:28:30.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":663,"name":"Departement de Biologie (IBENS), Ecole Normale Superieure, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7243,"fairsharing_record_id":1333,"organisation_id":427,"relation":"maintains","created_at":"2021-09-30T09:28:30.908Z","updated_at":"2021-09-30T09:28:30.908Z","grant_id":null,"is_lead":false,"saved_state":{"id":427,"name":"Center for Marine Environmental Sciences (MARUM), University of Bremen, Bremen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1334","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T20:00:30.000Z","updated_at":"2022-12-13T10:24:53.113Z","metadata":{"doi":"10.25504/FAIRsharing.wnbDmb","name":"TAPRegExt","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/TAPRegExt/index.html","citations":[{"publication_id":2938}],"identifier":1334,"description":"TAPRegExt is a VOResource schema extension for describing TAP services. It is an XML encoding standard for metadata about services implementing the table access protocol (TAP). Instance documents are part of the service's registry record or can be obtained from the service itself. They deliver information to both humans and software on the languages, output formats, and upload methods supported by the service, as well as data models implemented by the exposed tables, optional language features, and certain limits enforced by the service. To accommodate a wide variety of requirements, the TAP specification offers implementors many choices on optional features, resource limits, or locally defined functionality. One purpose of TAPRegExt is to allow the service to communicate such choices to remote clients using the mechanisms laid down in the VO Service Interfaces standard","abbreviation":"TAPRegExt","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/TAPRegExt","name":"TAPRegExt Wiki","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/TAPImplementationNotes","name":"Past TAPRegExt Discussions","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001151","bsg-s001151"],"name":"FAIRsharing record for: TAPRegExt","abbreviation":"TAPRegExt","url":"https://fairsharing.org/10.25504/FAIRsharing.wnbDmb","doi":"10.25504/FAIRsharing.wnbDmb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TAPRegExt is a VOResource schema extension for describing TAP services. It is an XML encoding standard for metadata about services implementing the table access protocol (TAP). Instance documents are part of the service's registry record or can be obtained from the service itself. They deliver information to both humans and software on the languages, output formats, and upload methods supported by the service, as well as data models implemented by the exposed tables, optional language features, and certain limits enforced by the service. To accommodate a wide variety of requirements, the TAP specification offers implementors many choices on optional features, resource limits, or locally defined functionality. One purpose of TAPRegExt is to allow the service to communicate such choices to remote clients using the mechanisms laid down in the VO Service Interfaces standard","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11467}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2938,"pubmed_id":null,"title":"TAPRegExt: a VOResource Schema Extension for Describing TAP Services Version 1.0","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0827D","authors":"Demleitner, Markus; Dowler, Patrick; Plante, Ray; Rixon, Guy; Taylor, Mark","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.108Z","updated_at":"2021-09-30T08:28:02.108Z"}],"licence_links":[],"grants":[{"id":7245,"fairsharing_record_id":1334,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:30.966Z","updated_at":"2021-09-30T09:28:30.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7246,"fairsharing_record_id":1334,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:31.004Z","updated_at":"2021-09-30T09:28:31.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1335","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T10:07:02.000Z","updated_at":"2022-12-13T10:24:43.292Z","metadata":{"doi":"10.25504/FAIRsharing.gJ4ayC","name":"IVOA Registry Relational Schema","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/RegTAP/index.html","citations":[{"publication_id":2962}],"identifier":1335,"description":"Registries provide a mechanism with which Virtual Observatory (VO) applications can discover and select resources - first and foremost data and services - that are relevant for a particular scientific problem. This specification defines an interface for searching this resource metadata based on the IVOA's TAP protocol. It specifies a set of tables that comprise a useful subset of the information contained in the registry records, as well as the table's data content in terms of the XML VOResource data model. The general design of the system is geared towards allowing easy authoring of queries.","abbreviation":"RegTAP","support_links":[{"url":"http://ivoa.net/documents/RegTAP/20171206/WD-RegTAP-1.1-20171206.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/RegTAPNext","name":"RegTAP Next Steps (Wiki)","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001203","bsg-s001203"],"name":"FAIRsharing record for: IVOA Registry Relational Schema","abbreviation":"RegTAP","url":"https://fairsharing.org/10.25504/FAIRsharing.gJ4ayC","doi":"10.25504/FAIRsharing.gJ4ayC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Registries provide a mechanism with which Virtual Observatory (VO) applications can discover and select resources - first and foremost data and services - that are relevant for a particular scientific problem. This specification defines an interface for searching this resource metadata based on the IVOA's TAP protocol. It specifies a set of tables that comprise a useful subset of the information contained in the registry records, as well as the table's data content in terms of the XML VOResource data model. The general design of the system is geared towards allowing easy authoring of queries.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11475}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2962,"pubmed_id":null,"title":"IVOA Registry Relational Schema Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.1208D","authors":"Demleitner, Markus; Harrison, Paul; Molinaro, Marco; Greene, Gretchen; Dower, Theresa; Perdikeas, Menelaos","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.025Z","updated_at":"2021-09-30T08:28:05.025Z"}],"licence_links":[],"grants":[{"id":7247,"fairsharing_record_id":1335,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:31.105Z","updated_at":"2021-09-30T09:28:31.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7248,"fairsharing_record_id":1335,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:31.197Z","updated_at":"2021-09-30T09:28:31.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1336","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:58:29.788Z","metadata":{"doi":"10.25504/FAIRsharing.c2wkqx","name":"Natural Collections Descriptions","status":"deprecated","contacts":[{"contact_name":"Neil Thomson","contact_email":"n.thomson@nhm.ac.uk","contact_orcid":"0000-0003-2231-6228"}],"homepage":"https://github.com/tdwg/ncd","identifier":1336,"description":"Natural Collections Description (NCD) (A data standard for exchanging data describing natural history collections) is a proposed data standard for describing collections of natural history materials at the collection level; one NCD record describes one entire collection. The NCD standard covers all types of natural history collections, such as specimens, original artwork, archives, observations, library materials, datasets, photographs or mixed collections such as those that result from expeditions and voyages of discovery. NCD is a draft standard that was submitted for ratification in 2008. Personnel changes in several critical roles caused the ratification process to stall, so the specification has remained as a draft since. The in 2016 reestablished Collection Descriptions Interest Group has decided to discontinue the development of NCD in favour of a new TDWG Collections Description metadata standard.","abbreviation":"NCD","support_links":[{"url":"http://wiki.tdwg.org/twiki/bin/view/NCD/WebHome","type":"Help documentation"}],"year_creation":2008,"deprecation_date":"2021-01-10","deprecation_reason":"The Natural Collections Description data standard was an unratified draft, whose development has been discontinued."},"legacy_ids":["bsg-000202","bsg-s000202"],"name":"FAIRsharing record for: Natural Collections Descriptions","abbreviation":"NCD","url":"https://fairsharing.org/10.25504/FAIRsharing.c2wkqx","doi":"10.25504/FAIRsharing.c2wkqx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Natural Collections Description (NCD) (A data standard for exchanging data describing natural history collections) is a proposed data standard for describing collections of natural history materials at the collection level; one NCD record describes one entire collection. The NCD standard covers all types of natural history collections, such as specimens, original artwork, archives, observations, library materials, datasets, photographs or mixed collections such as those that result from expeditions and voyages of discovery. NCD is a draft standard that was submitted for ratification in 2008. Personnel changes in several critical roles caused the ratification process to stall, so the specification has remained as a draft since. The in 2016 reestablished Collection Descriptions Interest Group has decided to discontinue the development of NCD in favour of a new TDWG Collections Description metadata standard.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12274}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Natural History"],"domains":["Resource collection","Multimedia"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1351","type":"fairsharing_records","attributes":{"created_at":"2016-03-03T15:04:58.000Z","updated_at":"2024-04-18T09:28:39.393Z","metadata":{"doi":"10.25504/FAIRsharing.jqfgxs","name":"Minimum Information about a Biosynthetic Gene cluster","status":"ready","contacts":[{"contact_name":"Marnix Medema","contact_email":"marnix.medema@wur.nl","contact_orcid":"0000-0002-2191-2821"}],"homepage":"http://mibig.secondarymetabolites.org/","identifier":1351,"description":"A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. The Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard was created to facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters.","abbreviation":"MIBiG","year_creation":2015},"legacy_ids":["bsg-000641","bsg-s000641"],"name":"FAIRsharing record for: Minimum Information about a Biosynthetic Gene cluster","abbreviation":"MIBiG","url":"https://fairsharing.org/10.25504/FAIRsharing.jqfgxs","doi":"10.25504/FAIRsharing.jqfgxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. The Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard was created to facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11858}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Sequence cluster","Metabolite","Enzyme","Pathway model"],"taxonomies":["Bacteria","Fungi","Plantae"],"user_defined_tags":[],"countries":["Australia","Austria","Belgium","Canada","China","Czech Republic","Denmark","Finland","France","Germany","Ireland","Japan","Mexico","Netherlands","New Zealand","Norway","Portugal","Saudi Arabia","Slovakia","South Korea","Spain","Switzerland","Ukraine","United Kingdom","United States"],"publications":[{"id":2075,"pubmed_id":26284661,"title":"Minimum Information about a Biosynthetic Gene cluster.","year":2015,"url":"http://doi.org/10.1038/nchembio.1890","authors":"Medema MH et al.","journal":"Nat Chem Biol","doi":"10.1038/nchembio.1890","created_at":"2021-09-30T08:26:13.941Z","updated_at":"2021-09-30T08:26:13.941Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1076,"relation":"undefined"}],"grants":[{"id":7277,"fairsharing_record_id":1351,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:28:32.240Z","updated_at":"2021-09-30T09:28:32.240Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1352","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T12:48:01.433Z","metadata":{"doi":"10.25504/FAIRsharing.ry1ezg","name":"Lentil Ontology","status":"ready","contacts":[{"contact_name":"Karthika Rajendran","contact_email":"K.Rajendran@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_339:ROOT","citations":[],"identifier":1352,"description":"The Lentil Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_339","support_links":[{"url":"SK.Agrawal@cgiar.org","name":"Shiv Kumar Agrawal","type":"Support email"},{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001123","bsg-s001123"],"name":"FAIRsharing record for: Lentil Ontology","abbreviation":"CO_339","url":"https://fairsharing.org/10.25504/FAIRsharing.ry1ezg","doi":"10.25504/FAIRsharing.ry1ezg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Lentil Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Lens culinaris"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":98,"relation":"undefined"}],"grants":[{"id":7279,"fairsharing_record_id":1352,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:32.323Z","updated_at":"2021-09-30T09:28:32.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7278,"fairsharing_record_id":1352,"organisation_id":1475,"relation":"maintains","created_at":"2021-09-30T09:28:32.281Z","updated_at":"2021-09-30T09:28:32.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":1475,"name":"International Center for Agricultural Research in the Dry Areas (ICARDA), Lebanon","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1353","type":"fairsharing_records","attributes":{"created_at":"2018-04-24T13:27:44.000Z","updated_at":"2022-12-05T09:21:34.361Z","metadata":{"name":"Life Science Identifiers","status":"uncertain","contacts":[{"contact_email":"doc-manger@omg.org"}],"homepage":"http://www.lsid.info/","citations":[],"identifier":1353,"description":"Life Science Identifiers (LSID) are a way to name and locate pieces of information on the web. An LSID is a unique identifier for some data, and the LSID protocol specifies a standard way to locate the data (as well as a standard way of describing that data). LSIDs identify biologically significant resources, including species names, concepts, occurrences, and genes or proteins, or data objects that encode information about them. Like other URNs, the LSID becomes actionable when embedded in a URL.\nAn LSID conforms to the URN standards defined by the IETF. Every LSID consists of up to five parts: the Network Identifier (NID); the root DNS name of the issuing authority; the namespace chosen by the issuing authority; the object id unique in that namespace; and finally an optional revision id for storing versioning information. Each part is separated by a colon to make LSIDs easy to parse. Although the specification is still available at the stated homepage, we have marked the identifier schema as Uncertain because the SourceForge site containing the specification was last updated in 2007, and there has been various criticisms of their use. ","abbreviation":"LSID","support_links":[{"url":"info@omg.org","name":"General contact","type":"Support email"},{"url":"http://www.lsid.info/resolver/","name":"LSID resolver","type":"Other"},{"url":"https://en.wikipedia.org/wiki/LSID","name":"LSID Wikipedia (incl summary of controversy over their usage)","type":"Wikipedia"}]},"legacy_ids":["bsg-001184","bsg-s001184"],"name":"FAIRsharing record for: Life Science Identifiers","abbreviation":"LSID","url":"https://fairsharing.org/fairsharing_records/1353","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life Science Identifiers (LSID) are a way to name and locate pieces of information on the web. An LSID is a unique identifier for some data, and the LSID protocol specifies a standard way to locate the data (as well as a standard way of describing that data). LSIDs identify biologically significant resources, including species names, concepts, occurrences, and genes or proteins, or data objects that encode information about them. Like other URNs, the LSID becomes actionable when embedded in a URL.\nAn LSID conforms to the URN standards defined by the IETF. Every LSID consists of up to five parts: the Network Identifier (NID); the root DNS name of the issuing authority; the namespace chosen by the issuing authority; the object id unique in that namespace; and finally an optional revision id for storing versioning information. Each part is separated by a colon to make LSIDs easy to parse. Although the specification is still available at the stated homepage, we have marked the identifier schema as Uncertain because the SourceForge site containing the specification was last updated in 2007, and there has been various criticisms of their use. ","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17388},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12125}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Life Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1356","type":"fairsharing_records","attributes":{"created_at":"2015-07-03T10:03:40.000Z","updated_at":"2022-07-20T12:28:42.786Z","metadata":{"doi":"10.25504/FAIRsharing.576wb","name":"Common Metadata Elements for Cataloging Biomedical Datasets","status":"ready","contacts":[{"contact_name":"Kevin Read","contact_email":"kevin.read@med.nyu.edu","contact_orcid":"0000-0002-7511-9036"}],"homepage":"http://dx.doi.org/10.6084/m9.figshare.1496573","identifier":1356,"description":"The Common Metadata Elements for Cataloging Biomedical Datasets outlines a proposed set of core, minimal metadata elements that can be used to describe biomedical datasets, such as those resulting from research funded by the National Institutes of Health. It can inform efforts to better catalog or index such data to improve discoverability. The proposed metadata elements are based on an analysis of the metadata schemas used in a set of NIH-supported data sharing repositories. Common elements from these data repositories were identified, mapped to existing data-specific metadata standards from to existing multidisciplinary data repositories, DataCite and Dryad, and compared with metadata used in MEDLINE records to establish a sustainable and integrated metadata schema.","abbreviation":null,"year_creation":2013},"legacy_ids":["bsg-000600","bsg-s000600"],"name":"FAIRsharing record for: Common Metadata Elements for Cataloging Biomedical Datasets","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.576wb","doi":"10.25504/FAIRsharing.576wb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Common Metadata Elements for Cataloging Biomedical Datasets outlines a proposed set of core, minimal metadata elements that can be used to describe biomedical datasets, such as those resulting from research funded by the National Institutes of Health. It can inform efforts to better catalog or index such data to improve discoverability. The proposed metadata elements are based on an analysis of the metadata schemas used in a set of NIH-supported data sharing repositories. Common elements from these data repositories were identified, mapped to existing data-specific metadata standards from to existing multidisciplinary data repositories, DataCite and Dryad, and compared with metadata used in MEDLINE records to establish a sustainable and integrated metadata schema.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11197},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12050}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Integration","Biomedical Science"],"domains":["Annotation","Data identity and mapping"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":1262,"pubmed_id":null,"title":"Common Metadata Elements for Cataloging Biomedical Datasets.","year":2015,"url":"http://doi.org/10.6084/m9.figshare.1496573.v1","authors":"Read, Kevin","journal":"Figshare","doi":"10.6084/m9.figshare.1496573.v1","created_at":"2021-09-30T08:24:40.808Z","updated_at":"2021-09-30T08:24:40.808Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1559,"relation":"undefined"}],"grants":[{"id":7282,"fairsharing_record_id":1356,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:32.420Z","updated_at":"2021-09-30T09:28:32.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1357","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T12:12:59.000Z","updated_at":"2021-11-24T13:20:19.400Z","metadata":{"doi":"10.25504/FAIRsharing.95f59a","name":"Encoded Archival Description","status":"ready","homepage":"https://www.loc.gov/ead/","identifier":1357,"description":"Encoded Archival Description (EAD) is an XML standard for encoding archival finding aids, maintained by the Technical Subcommittee for Encoded Archival Standards of the Society of American Archivists, in partnership with the Library of Congress. The current version, EAD3, was first released in 2015. EAD reflects the hierarchical structure of archival collections, and allows for describing both the collection as a whole and its individual parts. EAD is an international archival standard and allows for the standardization of information within and across different repositories. EAD is used throughout the United States, Europe, Australia, and other countries. The structural elements of EAD are easily recognized and used in union catalogs like ArchiveGrid and consortiums like the Online Archive of California, Northwest Digital Archives, and Archives Portal Europe. EAD is expressed in XML, which is a structural and preservation format. XML facilitates repurposing of data. A finding aid in XML can be converted into a variety of different formats for display and access to users. An HTML and PDF version of the finding aid can easily be created via the same EAD document. EAD is interoperable with other standards like Encoded Archival Context.","abbreviation":"EAD XML","support_links":[{"url":"https://www2.archivists.org/contact","name":"SAA Contact Form","type":"Contact form"},{"url":"https://www2.archivists.org/groups/encoded-archival-standards-section/frequently-asked-questions-about-ead-and-ead3","name":"EAD FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/SAA-SDT/EAD3","name":"GitHub Repository","type":"Github"},{"url":"https://github.com/saa-ead-roundtable/ead3-toolkit","name":"EAD3 Starter Kit","type":"Github"},{"url":"https://www2.archivists.org/sites/all/files/TagLibrary-VersionEAD3_0.pdf","name":"Encoded Archival Description Tag Library","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-001297","bsg-s001297"],"name":"FAIRsharing record for: Encoded Archival Description","abbreviation":"EAD XML","url":"https://fairsharing.org/10.25504/FAIRsharing.95f59a","doi":"10.25504/FAIRsharing.95f59a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Encoded Archival Description (EAD) is an XML standard for encoding archival finding aids, maintained by the Technical Subcommittee for Encoded Archival Standards of the Society of American Archivists, in partnership with the Library of Congress. The current version, EAD3, was first released in 2015. EAD reflects the hierarchical structure of archival collections, and allows for describing both the collection as a whole and its individual parts. EAD is an international archival standard and allows for the standardization of information within and across different repositories. EAD is used throughout the United States, Europe, Australia, and other countries. The structural elements of EAD are easily recognized and used in union catalogs like ArchiveGrid and consortiums like the Online Archive of California, Northwest Digital Archives, and Archives Portal Europe. EAD is expressed in XML, which is a structural and preservation format. XML facilitates repurposing of data. A finding aid in XML can be converted into a variety of different formats for display and access to users. An HTML and PDF version of the finding aid can easily be created via the same EAD document. EAD is interoperable with other standards like Encoded Archival Context.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13364}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":102,"relation":"undefined"}],"grants":[{"id":7283,"fairsharing_record_id":1357,"organisation_id":2717,"relation":"maintains","created_at":"2021-09-30T09:28:32.456Z","updated_at":"2021-09-30T09:28:32.456Z","grant_id":null,"is_lead":true,"saved_state":{"id":2717,"name":"Technical Subcommittee for Encoded Archival Standards (TS-EAS), Society of American Archivists, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1337","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:27:13.902Z","metadata":{"doi":"10.25504/FAIRsharing.4cvwxa","name":"NCI Thesaurus","status":"ready","contacts":[{"contact_email":"ncicbiit@mail.nih.gov"}],"homepage":"https://ncit.nci.nih.gov","identifier":1337,"description":"NCI Thesaurus (NCIt) provides reference terminology for many NCI and other systems. It covers vocabulary for clinical care, translational and basic research, and public information and administrative activities. NCIt features: stable, unique codes for biomedical concepts; preferred terms, synonyms, research codes, external source codes, and other information; over 100,000 textual definitions; links to NCI Metathesaurus and other information sources; and over 400,000 cross-links between concepts, providing formal logic-based definition of many concepts. NCIt is a widely recognized standard for biomedical coding and reference, used by a broad variety of public and private partners both nationally and internationally including the Clinical Data Interchange Standards Consortium Terminology (CDISC), the U.S. Food and Drug Administration (FDA), the Federal Medication Terminologies (FMT), and the National Council for Prescription Drug Programs (NCPDP).","abbreviation":"NCIt","support_links":[{"url":"https://wiki.nci.nih.gov/display/EVS/NCI+Thesaurus+FAQ","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wiki.nci.nih.gov/display/VKC/NCI+Thesaurus+Terminology","name":"Additional information","type":"Help documentation"},{"url":"https://github.com/NCI-Thesaurus/thesaurus-obo-edition","name":"NCIT OBO Edition GitHub Repo","type":"Github"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCIT","name":"NCIT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ncit.html","name":"ncit","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000096","bsg-s000096"],"name":"FAIRsharing record for: NCI Thesaurus","abbreviation":"NCIt","url":"https://fairsharing.org/10.25504/FAIRsharing.4cvwxa","doi":"10.25504/FAIRsharing.4cvwxa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NCI Thesaurus (NCIt) provides reference terminology for many NCI and other systems. It covers vocabulary for clinical care, translational and basic research, and public information and administrative activities. NCIt features: stable, unique codes for biomedical concepts; preferred terms, synonyms, research codes, external source codes, and other information; over 100,000 textual definitions; links to NCI Metathesaurus and other information sources; and over 400,000 cross-links between concepts, providing formal logic-based definition of many concepts. NCIt is a widely recognized standard for biomedical coding and reference, used by a broad variety of public and private partners both nationally and internationally including the Clinical Data Interchange Standards Consortium Terminology (CDISC), the U.S. Food and Drug Administration (FDA), the Federal Medication Terminologies (FMT), and the National Council for Prescription Drug Programs (NCPDP).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17337},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11024},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11269},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11814},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11958},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12417},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13178},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13201},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13238},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13280},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16976}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":["Cancer","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1877,"pubmed_id":15360769,"title":"NCI Thesaurus: using science-based terminology to integrate cancer research results.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/15360769","authors":"de Coronado S,Haber MW,Sioutos N,Tuttle MS,Wright LW","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-60750-949-3-33","created_at":"2021-09-30T08:25:51.141Z","updated_at":"2021-09-30T08:25:51.141Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2431,"relation":"undefined"},{"licence_name":"National Cancer Institute Policies","licence_id":543,"licence_url":"https://www.cancer.gov/policies","link_id":2427,"relation":"undefined"}],"grants":[{"id":7250,"fairsharing_record_id":1337,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:28:31.271Z","updated_at":"2021-09-30T09:28:31.271Z","grant_id":null,"is_lead":true,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1338","type":"fairsharing_records","attributes":{"created_at":"2020-05-08T10:01:59.000Z","updated_at":"2023-11-06T09:52:15.178Z","metadata":{"doi":"10.25504/FAIRsharing.X0q5BG","name":"Ciona robusta Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"delphine.dauga@contact-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":1338,"description":"The first ontology describing the anatomy and the development of Ciona robusta, based on the Hotta developmental tables.","abbreviation":null,"support_links":[{"url":"contact@aniseed.cnrs.fr","type":"Support email"}],"year_creation":2015},"legacy_ids":["bsg-001475","bsg-s001475"],"name":"FAIRsharing record for: Ciona robusta Anatomy and Development Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.X0q5BG","doi":"10.25504/FAIRsharing.X0q5BG","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Ciona robusta, based on the Hotta developmental tables.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Ciona robusta"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1014,"pubmed_id":20647237,"title":"The ANISEED database: digital representation, formalization, and elucidation of a chordate developmental program.","year":2010,"url":"http://doi.org/10.1101/gr.108175.110","authors":"Tassy O,Dauga D,Daian F,Sobral D,Lemaire P et al.","journal":"Genome Res","doi":"10.1101/gr.108175.110","created_at":"2021-09-30T08:24:12.272Z","updated_at":"2021-09-30T08:24:12.272Z"},{"id":2201,"pubmed_id":33087765,"title":"The ontology of the anatomy and development of the solitary ascidian Ciona: the swimming larva and its metamorphosis.","year":2020,"url":"http://doi.org/10.1038/s41598-020-73544-9","authors":"Hotta K,Dauga D,Manni L","journal":"Sci Rep","doi":"10.1038/s41598-020-73544-9","created_at":"2021-09-30T08:26:28.048Z","updated_at":"2021-09-30T08:26:28.048Z"}],"licence_links":[],"grants":[{"id":7254,"fairsharing_record_id":1338,"organisation_id":275,"relation":"maintains","created_at":"2021-09-30T09:28:31.421Z","updated_at":"2021-09-30T09:28:31.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":275,"name":"Bioself Communication, Cannes, France","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7251,"fairsharing_record_id":1338,"organisation_id":685,"relation":"maintains","created_at":"2021-09-30T09:28:31.313Z","updated_at":"2021-09-30T09:28:31.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":685,"name":"Department of Biosciences and Informatics, Faculty of Science and Technology, Keio University, Yokohama, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7252,"fairsharing_record_id":1338,"organisation_id":678,"relation":"maintains","created_at":"2021-09-30T09:28:31.351Z","updated_at":"2021-09-30T09:28:31.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":678,"name":"Department of Biology, University of Padova, Padova, Italy","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7253,"fairsharing_record_id":1338,"organisation_id":2870,"relation":"maintains","created_at":"2021-09-30T09:28:31.385Z","updated_at":"2021-09-30T09:28:31.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":2870,"name":"Transcriptional control of chordate morphogenesis Lab, CRBM, Montpellier, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7255,"fairsharing_record_id":1338,"organisation_id":3001,"relation":"funds","created_at":"2021-09-30T09:28:31.463Z","updated_at":"2021-09-30T09:32:29.804Z","grant_id":1646,"is_lead":false,"saved_state":{"id":3001,"name":"University di Padova, Padova, Italy","grant":"Iniziative di Cooperazione Universitaria 2016","types":["University"],"is_lead":false,"relation":"funds"}},{"id":7256,"fairsharing_record_id":1338,"organisation_id":1614,"relation":"funds","created_at":"2021-09-30T09:28:31.502Z","updated_at":"2021-09-30T09:28:58.109Z","grant_id":35,"is_lead":false,"saved_state":{"id":1614,"name":"JSPS KAKENHI","grant":"JP16K07426","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8462,"fairsharing_record_id":1338,"organisation_id":1614,"relation":"funds","created_at":"2021-09-30T09:32:44.860Z","updated_at":"2021-09-30T09:32:44.908Z","grant_id":1760,"is_lead":false,"saved_state":{"id":1614,"name":"JSPS KAKENHI","grant":"JP16H01451","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1354","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T09:01:25.000Z","updated_at":"2022-07-26T15:14:03.684Z","metadata":{"doi":"10.25504/FAIRsharing.995b08","name":"Unidata's Network Common Data Form Data Model","status":"ready","contacts":[{"contact_name":"Unidata Support","contact_email":"support@unidata.ucar.edu"}],"homepage":"https://www.unidata.ucar.edu/software/netcdf/docs/netcdf_data_model.html","identifier":1354,"description":"Unidata’s Network Common Data Form (netCDF) is a set of software libraries and a machine-independent data format that support the creation, access, and sharing of array-oriented scientific data. This record describes the data format and not the software libraries. The netCDF Data Model is also a community standard for sharing scientific data. The data model of dimensions, variables, and attributes, which define the The Classic Model, was extended starting with netCDF-4.0. The new The Enhanced Data Model supports the classic model in a completely backward-compatible way, while allowing access to new features such as groups, multiple unlimited dimensions, and new types, including user-defined types. For maximum interoparability with existing code, new data should be created with the The Classic Model. The Classic Model was introduced with the very first netCDF release, and is still the core of all netCDF files.","abbreviation":"netCDF","support_links":[{"url":"https://www.unidata.ucar.edu/software/netcdf/docs/index.html","name":"netCDF Documentation","type":"Help documentation"}],"year_creation":1994},"legacy_ids":["bsg-001210","bsg-s001210"],"name":"FAIRsharing record for: Unidata's Network Common Data Form Data Model","abbreviation":"netCDF","url":"https://fairsharing.org/10.25504/FAIRsharing.995b08","doi":"10.25504/FAIRsharing.995b08","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Unidata’s Network Common Data Form (netCDF) is a set of software libraries and a machine-independent data format that support the creation, access, and sharing of array-oriented scientific data. This record describes the data format and not the software libraries. The netCDF Data Model is also a community standard for sharing scientific data. The data model of dimensions, variables, and attributes, which define the The Classic Model, was extended starting with netCDF-4.0. The new The Enhanced Data Model supports the classic model in a completely backward-compatible way, while allowing access to new features such as groups, multiple unlimited dimensions, and new types, including user-defined types. For maximum interoparability with existing code, new data should be created with the The Classic Model. The Classic Model was introduced with the very first netCDF release, and is still the core of all netCDF files.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Unidata Copyright Statement","licence_id":819,"licence_url":"https://www.unidata.ucar.edu/software/netcdf/docs/copyright.html","link_id":201,"relation":"undefined"}],"grants":[{"id":9698,"fairsharing_record_id":1354,"organisation_id":3608,"relation":"maintains","created_at":"2022-07-26T08:49:53.869Z","updated_at":"2022-07-26T08:49:53.869Z","grant_id":null,"is_lead":true,"saved_state":{"id":3608,"name":"Working Group on Fisheries Acoustics, Science and Technology","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7280,"fairsharing_record_id":1354,"organisation_id":2912,"relation":"maintains","created_at":"2021-09-30T09:28:32.361Z","updated_at":"2021-09-30T09:28:32.361Z","grant_id":null,"is_lead":false,"saved_state":{"id":2912,"name":"Unidata, United States","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1355","type":"fairsharing_records","attributes":{"created_at":"2018-09-24T13:34:12.000Z","updated_at":"2023-09-29T11:54:58.343Z","metadata":{"name":"ISO 19115-2:2009 Geographic information -- Metadata -- Part 2: Extensions for imagery and gridded data","status":"deprecated","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/39229.html","identifier":1355,"description":"ISO 19115-2:2009 extends the existing geographic metadata standard by defining the schema required for describing imagery and gridded data. It provides information about the properties of the measuring equipment used to acquire the data, the geometry of the measuring process employed by the equipment, and the production process used to digitize the raw data. This extension deals with metadata needed to describe the derivation of geographic information from raw data, including the properties of the measuring system, and the numerical methods and computational procedures used in the derivation. The metadata required to address coverage data in general is addressed sufficiently in the general part of ISO 19115 (ISO 19115-1:2014).","abbreviation":"ISO 19115-2:2009","support_links":[{"url":"https://www.iso.org/frequently-asked-questions-faqs.html","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2009,"deprecation_date":"2021-01-13","deprecation_reason":"This ISO standard has now been withdrawn."},"legacy_ids":["bsg-001291","bsg-s001291"],"name":"FAIRsharing record for: ISO 19115-2:2009 Geographic information -- Metadata -- Part 2: Extensions for imagery and gridded data","abbreviation":"ISO 19115-2:2009","url":"https://fairsharing.org/fairsharing_records/1355","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115-2:2009 extends the existing geographic metadata standard by defining the schema required for describing imagery and gridded data. It provides information about the properties of the measuring equipment used to acquire the data, the geometry of the measuring process employed by the equipment, and the production process used to digitize the raw data. This extension deals with metadata needed to describe the derivation of geographic information from raw data, including the properties of the measuring system, and the numerical methods and computational procedures used in the derivation. The metadata required to address coverage data in general is addressed sufficiently in the general part of ISO 19115 (ISO 19115-1:2014).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location","Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1514,"relation":"undefined"}],"grants":[{"id":7281,"fairsharing_record_id":1355,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:28:32.392Z","updated_at":"2021-09-30T09:28:32.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10923,"fairsharing_record_id":1355,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:16:11.530Z","updated_at":"2023-09-27T14:16:11.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1429","type":"fairsharing_records","attributes":{"created_at":"2015-08-04T17:06:17.000Z","updated_at":"2022-10-10T20:27:54.947Z","metadata":{"doi":"10.25504/FAIRsharing.8y5ayx","name":"Common Workflow Language","status":"ready","contacts":[{"contact_name":"Michael R. Crusoe","contact_email":"mrc@commonwl.org","contact_orcid":"0000-0002-2961-9670"}],"homepage":"http://www.commonwl.org","citations":[{"doi":"10.1145/3486897","pubmed_id":null,"publication_id":3332}],"identifier":1429,"description":"Common Workflow Language (CWL) is an open standard for describing how to run command line tools and connect them to create workflows.\n\nTools and workflows described using CWL are portable across a variety of platforms that support the CWL standards. Using CWL, it easy to scale complex data analysis and machine learning workflows from a single developer's laptop up to massively parallel cluster, cloud and high performance computing environments.","abbreviation":"CWL","support_links":[{"url":"https://cwl.discourse.group/","type":"Forum"},{"url":"https://groups.google.com/forum/#!forum/common-workflow-language","name":"CWL Mailing List","type":"Mailing list"},{"url":"https://www.commonwl.org/user_guide/","type":"Help documentation"},{"url":"https://github.com/common-workflow-language/common-workflow-language","type":"Github"}],"year_creation":2014},"legacy_ids":["bsg-000606","bsg-s000606"],"name":"FAIRsharing record for: Common Workflow Language","abbreviation":"CWL","url":"https://fairsharing.org/10.25504/FAIRsharing.8y5ayx","doi":"10.25504/FAIRsharing.8y5ayx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Common Workflow Language (CWL) is an open standard for describing how to run command line tools and connect them to create workflows.\n\nTools and workflows described using CWL are portable across a variety of platforms that support the CWL standards. Using CWL, it easy to scale complex data analysis and machine learning workflows from a single developer's laptop up to massively parallel cluster, cloud and high performance computing environments.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11030},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16903}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Hydrogeology","Humanities","Cheminformatics","Metagenomics","Genomics","Bioinformatics","Geoinformatics","Astrophysics and Astronomy","Microbial Genetics","Hydrography","Natural Science","Hydrology","Plant Genetics"],"domains":["Cancer","Next generation DNA sequencing","Workflow","Rare disease","Genetic disorder"],"taxonomies":["All","SARS-CoV-2"],"user_defined_tags":["COVID-19","earth observation","Geospatial Data","High Energy Physics","SciWorkflows"],"countries":["Australia","Belgium","Canada","France","Germany","India","Japan","Lithuania","Netherlands","Romania","Serbia","Spain","Sweden","Switzerland","Ukraine","United Kingdom","United States","European Union"],"publications":[{"id":1461,"pubmed_id":null,"title":"Common Workflow Language, v1.0","year":2016,"url":"http://doi.org/10.6084/m9.figshare.3115156.v2","authors":"Peter Amstutz, Michael R. Crusoe, Nebojša Tijanić, Brad Chapman, John Chilton, Michael Heuer, Andrey Kartashov, Dan Leehr, Hervé Ménager, Maya Nedeljkovich, Matt Scales, Stian Soiland-Reyes, Luka Stojanovic","journal":"Figshare","doi":"10.6084/m9.figshare.3115156.v2","created_at":"2021-09-30T08:25:03.269Z","updated_at":"2021-09-30T08:25:03.269Z"},{"id":2139,"pubmed_id":null,"title":"Common Workflow Language, draft 3","year":2016,"url":"http://doi.org/10.6084/M9.FIGSHARE.3115156","authors":"Peter Amstutz, Robin Andeer, Brad Chapman, John Chilton, Michael R. Crusoe, Roman Valls Guimerà, ..., Nebojša Tijanić","journal":"Figshare","doi":"10.6084/M9.FIGSHARE.3115156","created_at":"2021-09-30T08:26:21.150Z","updated_at":"2021-09-30T08:26:21.150Z"},{"id":3332,"pubmed_id":null,"title":"Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language","year":2022,"url":"https://arxiv.org/abs/2105.07028","authors":"Michael R. Crusoe, Sanne Abeln, Alexandru Iosup, Peter Amstutz, John Chilton, Nebojša Tijanić, Hervé Ménager, Stian Soiland-Reyes, Bogdan Gavrilović, Carole Goble, The CWL Community","journal":"CACM","doi":"10.1145/3486897","created_at":"2022-04-25T13:14:31.800Z","updated_at":"2022-04-25T13:14:31.800Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2085,"relation":"undefined"}],"grants":[{"id":7449,"fairsharing_record_id":1429,"organisation_id":2588,"relation":"maintains","created_at":"2021-09-30T09:28:38.040Z","updated_at":"2021-09-30T09:28:38.040Z","grant_id":null,"is_lead":true,"saved_state":{"id":2588,"name":"Software Freedom Conservancy, Inc","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYXM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3874415accee2a8edec898042ac33ab477e5f628/CWL-Logo-4k.png?disposition=inline","exhaustive_licences":false}},{"id":"1430","type":"fairsharing_records","attributes":{"created_at":"2020-08-07T19:00:15.000Z","updated_at":"2022-07-20T12:53:50.397Z","metadata":{"doi":"10.25504/FAIRsharing.eZ0fzl","name":"Adaptive Immune Receptor Repertoire: Repertoire Schema","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/datarep/metadata.html","citations":[{"doi":"10.3389/fimmu.2018.02206","pubmed_id":30323809,"publication_id":3025}],"identifier":1430,"description":"The Adaptive Immune Receptor Repertoire (AIRR) Repertoire Schema, part of the AIRR Data Model, describes an abstract organizational unit of analysis that is defined by the researcher and consists of study metadata, subject metadata, sample metadata, cell processing metadata, nucleic acid processing metadata, sequencing run metadata, a set of raw sequence files, data processing metadata, and a set of Rearrangements. A Repertoire gathers all of this information together into a composite object, which can be easily accessed by computer programs for data entry, analysis and visualization. The AIRR Repertoire Schema has been implemented in YAML/JSON, which provides a mechanism to share AIRR Repertoire metadata between research projects.","abbreviation":"AIRR Repertoire Schema","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001517","bsg-s001517"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire: Repertoire Schema","abbreviation":"AIRR Repertoire Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.eZ0fzl","doi":"10.25504/FAIRsharing.eZ0fzl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adaptive Immune Receptor Repertoire (AIRR) Repertoire Schema, part of the AIRR Data Model, describes an abstract organizational unit of analysis that is defined by the researcher and consists of study metadata, subject metadata, sample metadata, cell processing metadata, nucleic acid processing metadata, sequencing run metadata, a set of raw sequence files, data processing metadata, and a set of Rearrangements. A Repertoire gathers all of this information together into a composite object, which can be easily accessed by computer programs for data entry, analysis and visualization. The AIRR Repertoire Schema has been implemented in YAML/JSON, which provides a mechanism to share AIRR Repertoire metadata between research projects.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11822}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex","Antibody"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3025,"pubmed_id":30323809,"title":"AIRR Community Standardized Representations for Annotated Immune Repertoires.","year":2018,"url":"http://doi.org/10.3389/fimmu.2018.02206","authors":"Vander Heiden JA,Marquez S,Marthandan N,Bukhari SAC,Busse CE,Corrie B,Hershberg U,Kleinstein SH,Matsen Iv FA,Ralph DK,Rosenfeld AM,Schramm CA,Christley S,Laserson U","journal":"Front Immunol","doi":"10.3389/fimmu.2018.02206","created_at":"2021-09-30T08:28:12.866Z","updated_at":"2021-09-30T08:28:12.866Z"},{"id":3027,"pubmed_id":null,"title":"The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons","year":2020,"url":"http://doi.org/10.3389/fdata.2020.00022","authors":"Christley S, Aguiar A, Blanck G, Breden F, Bukhari S, Busse C, Jaglale J, Harikrishnan S., Laserson U, Peters B, Rocha A, Schramm C., Taylor S, Vander Heiden J, Zimonja B, Watson C., Corrie B, Cowell L","journal":"Frontiers in Big Data","doi":"10.3389/fdata.2020.00022","created_at":"2021-09-30T08:28:13.092Z","updated_at":"2021-09-30T08:28:13.092Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1951,"relation":"undefined"}],"grants":[{"id":7450,"fairsharing_record_id":1430,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.064Z","updated_at":"2021-09-30T09:28:38.064Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1431","type":"fairsharing_records","attributes":{"created_at":"2020-10-06T09:49:18.000Z","updated_at":"2022-07-20T12:04:17.042Z","metadata":{"doi":"10.25504/FAIRsharing.Nx0ddm","name":"Adaptive Immune Receptor Repertoire Data Model","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/datarep/overview.html","citations":[{"doi":"10.3389/fimmu.2018.02206","pubmed_id":30323809,"publication_id":3025}],"identifier":1431,"description":"The MiAIRR standard defines the minimal information for submission and publication of AIRR-seq datasets. The Adaptive Immune Receptor Repertoire (AIRR) Data Model defines a schema for the MiAIRR data elements, structuring them within schema objects, defining the relationship between those objects, and defining a file format. Increased interest in the immune system's involvement in pathophysiological phenomena coupled with decreased DNA sequencing costs have led to an explosion of antibody and T cell receptor sequencing data collectively termed \"adaptive immune receptor repertoire sequencing\" (AIRR-seq or Rep-Seq). The AIRR Community has been actively working to standardize protocols, metadata, formats, APIs, and other guidelines to promote open and reproducible studies of the immune repertoire.","abbreviation":"AIRR Data Model","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001532","bsg-s001532"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Data Model","abbreviation":"AIRR Data Model","url":"https://fairsharing.org/10.25504/FAIRsharing.Nx0ddm","doi":"10.25504/FAIRsharing.Nx0ddm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MiAIRR standard defines the minimal information for submission and publication of AIRR-seq datasets. The Adaptive Immune Receptor Repertoire (AIRR) Data Model defines a schema for the MiAIRR data elements, structuring them within schema objects, defining the relationship between those objects, and defining a file format. Increased interest in the immune system's involvement in pathophysiological phenomena coupled with decreased DNA sequencing costs have led to an explosion of antibody and T cell receptor sequencing data collectively termed \"adaptive immune receptor repertoire sequencing\" (AIRR-seq or Rep-Seq). The AIRR Community has been actively working to standardize protocols, metadata, formats, APIs, and other guidelines to promote open and reproducible studies of the immune repertoire.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11823}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3025,"pubmed_id":30323809,"title":"AIRR Community Standardized Representations for Annotated Immune Repertoires.","year":2018,"url":"http://doi.org/10.3389/fimmu.2018.02206","authors":"Vander Heiden JA,Marquez S,Marthandan N,Bukhari SAC,Busse CE,Corrie B,Hershberg U,Kleinstein SH,Matsen Iv FA,Ralph DK,Rosenfeld AM,Schramm CA,Christley S,Laserson U","journal":"Front Immunol","doi":"10.3389/fimmu.2018.02206","created_at":"2021-09-30T08:28:12.866Z","updated_at":"2021-09-30T08:28:12.866Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1886,"relation":"undefined"}],"grants":[{"id":7451,"fairsharing_record_id":1431,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.095Z","updated_at":"2021-09-30T09:28:38.095Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1432","type":"fairsharing_records","attributes":{"created_at":"2020-08-07T19:04:40.000Z","updated_at":"2021-11-24T13:16:58.025Z","metadata":{"doi":"10.25504/FAIRsharing.eNSzPf","name":"Adaptive Immune Receptor Repertoire Software Guidelines","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_standard.html","identifier":1432,"description":"The Adaptive Immune Receptor Repertoire (AIRR) Software Guidelines were created by the AIRR Software Working Group to promote standards for AIRR software tools and resources in order to enable rigorous and reproducible immune repertoire research at the largest scale possible. As one contribution to this goal, we have established the a number of standards for software tools. Authors whose tools comply with this standard will, subject to ratification from the AIRR Software WG, be permitted to advertise their tools as being AIRR-compliant. The guidelines include a compliance checklist, a list of compliant tools, and recommended software evaluation data sets.","abbreviation":"AIRR Software Guidelines","support_links":[{"url":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_checklist.html","name":"Compliance Checklist","type":"Help documentation"},{"url":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_compliant.html","name":"List of Compliant Tools","type":"Help documentation"},{"url":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_data.html","name":"Recommended Software Evaluation Datasets","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001518","bsg-s001518"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Software Guidelines","abbreviation":"AIRR Software Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.eNSzPf","doi":"10.25504/FAIRsharing.eNSzPf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adaptive Immune Receptor Repertoire (AIRR) Software Guidelines were created by the AIRR Software Working Group to promote standards for AIRR software tools and resources in order to enable rigorous and reproducible immune repertoire research at the largest scale possible. As one contribution to this goal, we have established the a number of standards for software tools. Authors whose tools comply with this standard will, subject to ratification from the AIRR Software WG, be permitted to advertise their tools as being AIRR-compliant. The guidelines include a compliance checklist, a list of compliant tools, and recommended software evaluation data sets.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11821}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunogenetics"],"domains":["T cell receptor complex","Antibody"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7452,"fairsharing_record_id":1432,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.124Z","updated_at":"2021-09-30T09:28:38.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1436","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-24T07:44:43.434Z","metadata":{"doi":"10.25504/FAIRsharing.sggb1n","name":"Gene Transfer Format","status":"ready","contacts":[{"contact_name":"Michael Brent","contact_email":"brent@wustl.edu"}],"homepage":"http://mblab.wustl.edu/GTF22.html","citations":[],"identifier":1436,"description":"The Gene transfer format (GTF) is a file format used to hold information about gene structure. It is a tab-delimited text format based on the general feature format (GFF), but contains some additional conventions specific to gene information. A significant feature of the GTF is that it is validatable: given a sequence and a GTF file, one can check that the format is correct. This significantly reduces problems with the interchange of data between groups.","abbreviation":"GTF"},"legacy_ids":["bsg-000238","bsg-s000238"],"name":"FAIRsharing record for: Gene Transfer Format","abbreviation":"GTF","url":"https://fairsharing.org/10.25504/FAIRsharing.sggb1n","doi":"10.25504/FAIRsharing.sggb1n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene transfer format (GTF) is a file format used to hold information about gene structure. It is a tab-delimited text format based on the general feature format (GFF), but contains some additional conventions specific to gene information. A significant feature of the GTF is that it is validatable: given a sequence and a GTF file, one can check that the format is correct. This significantly reduces problems with the interchange of data between groups.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11986}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7468,"fairsharing_record_id":1436,"organisation_id":3221,"relation":"maintains","created_at":"2021-09-30T09:28:38.756Z","updated_at":"2021-09-30T09:28:38.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":3221,"name":"Washington University in St Louis, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1437","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T13:35:08.000Z","updated_at":"2022-07-20T10:17:49.238Z","metadata":{"doi":"10.25504/FAIRsharing.YGPmfW","name":"Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Binding of Glycans to Receptors","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#nmrglycanrecognition","citations":[],"identifier":1437,"description":"These guidelines are proposed to comprehensively describe the NMR experiments and data obtained to characterize glycan recognition by various receptors. The receptor can be a glycan binding protein (such as lectins and antibodies), a glycan binding organism (such as cells) or can have a different nature including synthetic glycan binding molecules.","abbreviation":"MIRAGE NMR Guidelines - Glycan Recognition","year_creation":2020},"legacy_ids":["bsg-001542","bsg-s001542"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Binding of Glycans to Receptors","abbreviation":"MIRAGE NMR Guidelines - Glycan Recognition","url":"https://fairsharing.org/10.25504/FAIRsharing.YGPmfW","doi":"10.25504/FAIRsharing.YGPmfW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines are proposed to comprehensively describe the NMR experiments and data obtained to characterize glycan recognition by various receptors. The receptor can be a glycan binding protein (such as lectins and antibodies), a glycan binding organism (such as cells) or can have a different nature including synthetic glycan binding molecules.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12131}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Glycomics"],"domains":["Receptor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Spain","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1577,"relation":"undefined"}],"grants":[{"id":7470,"fairsharing_record_id":1437,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:38.806Z","updated_at":"2021-09-30T09:28:38.806Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7469,"fairsharing_record_id":1437,"organisation_id":2963,"relation":"maintains","created_at":"2021-09-30T09:28:38.783Z","updated_at":"2021-09-30T09:28:38.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":2963,"name":"Universidad Complutense Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7471,"fairsharing_record_id":1437,"organisation_id":2831,"relation":"maintains","created_at":"2021-09-30T09:28:38.833Z","updated_at":"2021-09-30T09:28:38.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":2831,"name":"The Scripps Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWVk9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b532be82796c6823f173dd830e98dd1d79e2010d/Logo_Beilstein_MIRAGE_RGB.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1438","type":"fairsharing_records","attributes":{"created_at":"2020-12-07T14:41:23.000Z","updated_at":"2022-07-20T12:08:17.428Z","metadata":{"doi":"10.25504/FAIRsharing.de40c7","name":"Observations Data Model 2","status":"ready","contacts":[{"contact_name":"Jeffery S. Horsburgh","contact_email":"jeff.horsburgh@usu.edu"}],"homepage":"https://www.odm2.org/","citations":[{"publication_id":3086}],"identifier":1438,"description":"Observations Data Model 2 (ODM2) is an information model for feature-based earth observations, designed to facilitate interoperability across scientific disciplines and domains. ODM2's metadata is structured around sampling, sensing, and analysis workflows. It also provides a supporting software ecosystem. Implementing the ODM2 data model as a database allows the integration of hydrological time series, soil and sediment geochemistry, biodiversity surveys, oceanographic sensor profiles, and multi-dimensional spectra.","abbreviation":"ODM2","support_links":[{"url":"https://github.com/ODM2/ODM2/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/ODM2/","name":"GitHub Project","type":"Github"},{"url":"https://github.com/ODM2/ODM2/wiki/Documentation","name":"ODM2 Documentation","type":"Github"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/ODM2/odm2-software-ecosystem","name":"ODM2 Software Ecosystem"}]},"legacy_ids":["bsg-001550","bsg-s001550"],"name":"FAIRsharing record for: Observations Data Model 2","abbreviation":"ODM2","url":"https://fairsharing.org/10.25504/FAIRsharing.de40c7","doi":"10.25504/FAIRsharing.de40c7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Observations Data Model 2 (ODM2) is an information model for feature-based earth observations, designed to facilitate interoperability across scientific disciplines and domains. ODM2's metadata is structured around sampling, sensing, and analysis workflows. It also provides a supporting software ecosystem. Implementing the ODM2 data model as a database allows the integration of hydrological time series, soil and sediment geochemistry, biodiversity surveys, oceanographic sensor profiles, and multi-dimensional spectra.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geochemistry","Hydrogeology","Geology","Biodiversity","Oceanography","Hydrology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation"],"countries":["United States"],"publications":[{"id":3086,"pubmed_id":null,"title":"Observations Data Model 2: A community information model for spatially discrete Earth observations","year":2016,"url":"http://dx.doi.org/10.1016/j.envsoft.2016.01.010","authors":"Horsburgh, J. S., Aufdenkampe, A. K., Mayorga, E., Lehnert, K. A., Hsu, L., Song, L., Spackman Jones, A., Damiano, S. G., Tarboton, D. G., Valentine, D., Zaslavsky, I., Whitenack, T.","journal":"Environmental Modelling \u0026 Software","doi":null,"created_at":"2021-09-30T08:28:20.243Z","updated_at":"2021-09-30T08:28:20.243Z"}],"licence_links":[{"licence_name":"ODM2 License","licence_id":610,"licence_url":"https://github.com/ODM2/ODM2/blob/master/LICENSE","link_id":2220,"relation":"undefined"}],"grants":[{"id":7473,"fairsharing_record_id":1438,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:28:38.890Z","updated_at":"2021-09-30T09:28:38.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7477,"fairsharing_record_id":1438,"organisation_id":3175,"relation":"maintains","created_at":"2021-09-30T09:28:39.034Z","updated_at":"2021-09-30T09:28:39.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":3175,"name":"Utah State University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7472,"fairsharing_record_id":1438,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:28:38.865Z","updated_at":"2021-09-30T09:28:38.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7474,"fairsharing_record_id":1438,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:28:38.921Z","updated_at":"2021-09-30T09:28:38.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7475,"fairsharing_record_id":1438,"organisation_id":2656,"relation":"maintains","created_at":"2021-09-30T09:28:38.963Z","updated_at":"2021-09-30T09:28:38.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":2656,"name":"Stroud Water Research Center, Avondale, PA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7478,"fairsharing_record_id":1438,"organisation_id":2225,"relation":"maintains","created_at":"2021-09-30T09:28:39.072Z","updated_at":"2021-09-30T09:28:39.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":2225,"name":"ODM2 Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7476,"fairsharing_record_id":1438,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:39.001Z","updated_at":"2021-09-30T09:30:27.319Z","grant_id":719,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR 1224638","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1439","type":"fairsharing_records","attributes":{"created_at":"2020-10-19T11:16:51.000Z","updated_at":"2021-11-24T13:16:58.102Z","metadata":{"doi":"10.25504/FAIRsharing.tzlO4X","name":"Adaptive Immune Receptor Repertoire Data Commons API Specification","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bcorrie@sfu.ca","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/api/adc_api.html","citations":[{"publication_id":3062}],"identifier":1439,"description":"The AIRR Data Commons (ADC) API provides programmatic access to query and download AIRR-seq data. The ADC API uses JSON as its communication format, and standard HTTP methods like GET and POST. The ADC API is read-only and the mechanism of inclusion of AIRR-seq studies into a data repository is left up to the repository. The ADC API Specification explains how to construct and execute API requests and interpret API responses.","abbreviation":"ADC API Specification","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001535","bsg-s001535"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Data Commons API Specification","abbreviation":"ADC API Specification","url":"https://fairsharing.org/10.25504/FAIRsharing.tzlO4X","doi":"10.25504/FAIRsharing.tzlO4X","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AIRR Data Commons (ADC) API provides programmatic access to query and download AIRR-seq data. The ADC API uses JSON as its communication format, and standard HTTP methods like GET and POST. The ADC API is read-only and the mechanism of inclusion of AIRR-seq studies into a data repository is left up to the repository. The ADC API Specification explains how to construct and execute API requests and interpret API responses.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11824}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["APIstandard"],"countries":["Worldwide"],"publications":[{"id":3062,"pubmed_id":null,"title":"The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons","year":2020,"url":"https://doi.org/10.3389/fdata.2020.00022","authors":"Christley Scott, Aguiar Ademar, Blanck George, et al.","journal":"Frontiers in Big Data","doi":null,"created_at":"2021-09-30T08:28:17.333Z","updated_at":"2021-09-30T08:28:17.333Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2103,"relation":"undefined"}],"grants":[{"id":7479,"fairsharing_record_id":1439,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:39.113Z","updated_at":"2021-09-30T09:28:39.113Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1440","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T13:40:21.000Z","updated_at":"2022-07-20T10:29:50.735Z","metadata":{"doi":"10.25504/FAIRsharing.rzLrS8","name":"Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Glycan Structures","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#nmrglycanstructures","citations":[],"identifier":1440,"description":"These guidelines are proposed to comprehensively describe NMR experiments and data obtained for the characterization of glycan composition, glycan conformation and glycan dynamics both for natural and unnatural glycans.","abbreviation":"MIRAGE NMR Guidelines - Glycan Structures","year_creation":2020},"legacy_ids":["bsg-001543","bsg-s001543"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Glycan Structures","abbreviation":"MIRAGE NMR Guidelines - Glycan Structures","url":"https://fairsharing.org/10.25504/FAIRsharing.rzLrS8","doi":"10.25504/FAIRsharing.rzLrS8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines are proposed to comprehensively describe NMR experiments and data obtained for the characterization of glycan composition, glycan conformation and glycan dynamics both for natural and unnatural glycans.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12130}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Glycomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Glycan Annotation","Glycan sequences"],"countries":["Germany","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1202,"relation":"undefined"}],"grants":[{"id":7480,"fairsharing_record_id":1440,"organisation_id":2963,"relation":"maintains","created_at":"2021-09-30T09:28:39.151Z","updated_at":"2021-09-30T09:28:39.151Z","grant_id":null,"is_lead":false,"saved_state":{"id":2963,"name":"Universidad Complutense Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7481,"fairsharing_record_id":1440,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:39.184Z","updated_at":"2021-09-30T09:28:39.184Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7482,"fairsharing_record_id":1440,"organisation_id":2831,"relation":"maintains","created_at":"2021-09-30T09:28:39.207Z","updated_at":"2021-09-30T09:28:39.207Z","grant_id":null,"is_lead":false,"saved_state":{"id":2831,"name":"The Scripps Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWWM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8ed4813a3e2013360a8d6d51d4311639fa3c5512/Logo_Beilstein_MIRAGE_RGB.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1433","type":"fairsharing_records","attributes":{"created_at":"2016-10-20T19:16:24.000Z","updated_at":"2022-07-20T09:30:02.372Z","metadata":{"doi":"10.25504/FAIRsharing.vrhbra","name":"Minimum Information Required for A Glycomics Experiment - Sample Preparation","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/mirage/guidelines#sample_preparations","citations":[],"identifier":1433,"description":"MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. The sample preparation guidelines are designed to include all aspects of sample generation, purification and modification from biological and/or synthetic material. Fundamentally, the application of MIRAGE sample preparation guidelines will lead to improved recording of experimental protocols and reporting of understandable and reproducible glycomics datasets. In addition, these guidelines are considered as a common basis for any further MIRAGE reporting guidelines in order to keep the requirements for data analysis short and consistent.","abbreviation":"MIRAGE - Sample Preparation","year_creation":2016},"legacy_ids":["bsg-000682","bsg-s000682"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Sample Preparation","abbreviation":"MIRAGE - Sample Preparation","url":"https://fairsharing.org/10.25504/FAIRsharing.vrhbra","doi":"10.25504/FAIRsharing.vrhbra","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. The sample preparation guidelines are designed to include all aspects of sample generation, purification and modification from biological and/or synthetic material. Fundamentally, the application of MIRAGE sample preparation guidelines will lead to improved recording of experimental protocols and reporting of understandable and reproducible glycomics datasets. In addition, these guidelines are considered as a common basis for any further MIRAGE reporting guidelines in order to keep the requirements for data analysis short and consistent.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12066}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Glycomics"],"domains":["Sample preparation for assay","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Germany","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":682,"pubmed_id":24653214,"title":"MIRAGE: The minimum information required for a glycomics experiment","year":2014,"url":"http://doi.org/10.1093/glycob/cwu018","authors":"York WS, Agravat S, Aoki-Kinoshita KF et al.","journal":"Glycobiology","doi":"10.1093/glycob/cwu018","created_at":"2021-09-30T08:23:35.195Z","updated_at":"2021-09-30T08:23:35.195Z"},{"id":2861,"pubmed_id":27654115,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: sample preparation guidelines for reliable reporting of glycomics datasets.","year":2016,"url":"http://doi.org/10.1093/glycob/cww082","authors":"Struwe WB,Agravat S,Aoki-Kinoshita KF,Campbell MP,Costello CE,Dell A,Ten Feizi,Haslam SM,Karlsson NG,Khoo KH,Kolarich D,Liu Y,McBride R,Novotny MV,Packer NH,Paulson JC,Rapp E,Ranzinger R,Rudd PM,Smith DF,Tiemeyer M,Wells L,York WS,Zaia J,Kettner C","journal":"Glycobiology","doi":"10.1093/glycob/cww082.","created_at":"2021-09-30T08:27:52.015Z","updated_at":"2021-09-30T08:27:52.015Z"}],"licence_links":[],"grants":[{"id":7455,"fairsharing_record_id":1433,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:38.220Z","updated_at":"2021-09-30T09:28:38.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7458,"fairsharing_record_id":1433,"organisation_id":1741,"relation":"maintains","created_at":"2021-09-30T09:28:38.335Z","updated_at":"2021-09-30T09:28:38.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1741,"name":"Macquarie University, Sydney, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7453,"fairsharing_record_id":1433,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:38.148Z","updated_at":"2021-09-30T09:28:38.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7454,"fairsharing_record_id":1433,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:38.178Z","updated_at":"2021-09-30T09:28:38.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7456,"fairsharing_record_id":1433,"organisation_id":3058,"relation":"maintains","created_at":"2021-09-30T09:28:38.262Z","updated_at":"2021-09-30T09:28:38.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7457,"fairsharing_record_id":1433,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:38.301Z","updated_at":"2021-09-30T09:28:38.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWUE9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7887199a48e9d608d3b985e48c0eb5a9fe9e7341/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1434","type":"fairsharing_records","attributes":{"created_at":"2020-11-12T09:36:05.000Z","updated_at":"2022-07-20T09:16:51.608Z","metadata":{"doi":"10.25504/FAIRsharing.a2e4bb","name":"International Federation of Digital Seismograph Networks StationXML","status":"ready","contacts":[{"contact_name":"FDSN Webmaster","contact_email":"webmaster@fdsn.org"}],"homepage":"http://www.fdsn.org/xml/station/","identifier":1434,"description":"The FDSN StationXML schema defines an XML representation of the most important and commonly-used structures of SEED 2.4 metadata with enhancements. This format is intended primarily for the archival and exchange of seismological time series data and related metadata. The goal is to allow mapping between SEED 2.4 dataless SEED volumes and this schema with as little transformation or loss of information as possible, while at the same time simplifying station metadata representation when possible. Also, content and clarification has been added where lacking in the SEED standard. When definitions and usage are under-defined the SEED manual should be referred to for clarification.","abbreviation":"FDSN StationXML","support_links":[{"url":"https://github.com/FDSN/StationXML/issues","name":"Issue Tracker","type":"Github"},{"url":"http://www.fdsn.org/xml/station/Variations-FDSNSXML-SEED.txt","name":"Differences with SEED 2.4","type":"Help documentation"},{"url":"https://github.com/FDSN/StationXML","name":"GitHub Project","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001538","bsg-s001538"],"name":"FAIRsharing record for: International Federation of Digital Seismograph Networks StationXML","abbreviation":"FDSN StationXML","url":"https://fairsharing.org/10.25504/FAIRsharing.a2e4bb","doi":"10.25504/FAIRsharing.a2e4bb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FDSN StationXML schema defines an XML representation of the most important and commonly-used structures of SEED 2.4 metadata with enhancements. This format is intended primarily for the archival and exchange of seismological time series data and related metadata. The goal is to allow mapping between SEED 2.4 dataless SEED volumes and this schema with as little transformation or loss of information as possible, while at the same time simplifying station metadata representation when possible. Also, content and clarification has been added where lacking in the SEED standard. When definitions and usage are under-defined the SEED manual should be referred to for clarification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Seismology"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7459,"fairsharing_record_id":1434,"organisation_id":1488,"relation":"maintains","created_at":"2021-09-30T09:28:38.370Z","updated_at":"2021-09-30T09:28:38.370Z","grant_id":null,"is_lead":true,"saved_state":{"id":1488,"name":"International Federation of Digital Seismograph Networks (FDSN)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1435","type":"fairsharing_records","attributes":{"created_at":"2020-12-02T10:49:41.000Z","updated_at":"2024-03-25T21:12:22.856Z","metadata":{"doi":"10.25504/FAIRsharing.15242c","name":"Minimal information for Chemosensitivity Assays","status":"deprecated","contacts":[{"contact_name":"Jing Tang","contact_email":"jing.tang@helsinki.fi"},{"contact_name":"Ziaurrehman Tanoli","contact_email":"zia.rehman@helsinki.fi","contact_orcid":null}],"homepage":"https://micha-protocol.org","citations":[],"identifier":1435,"description":"Minimal information for Chemosensitivity Assays (MICHA) is both a web tool to aid annotation of drug sensitivity screens and a guideline for defining the minimal information required to: capture critical drug sensitivity assay components, allow the FAIRification and cataloguing of drug sensitivity screen studies, and comply with the guidelines of scientific publications and preclinical drug evaluation. It is the minimal information guidelines described in this record. MICHA is composed of four main components: compounds, specimens/samples, assay protocols, and quality control and data processing methods.","abbreviation":"MICHA","support_links":[{"url":"https://micha-protocol.org/about/index","name":"About","type":"Help documentation"}],"year_creation":2020,"deprecation_date":"2024-03-25","deprecation_reason":"This resource is no longer available at the stated homepage and a new homepage cannot be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-001549","bsg-s001549"],"name":"FAIRsharing record for: Minimal information for Chemosensitivity Assays","abbreviation":"MICHA","url":"https://fairsharing.org/10.25504/FAIRsharing.15242c","doi":"10.25504/FAIRsharing.15242c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal information for Chemosensitivity Assays (MICHA) is both a web tool to aid annotation of drug sensitivity screens and a guideline for defining the minimal information required to: capture critical drug sensitivity assay components, allow the FAIRification and cataloguing of drug sensitivity screen studies, and comply with the guidelines of scientific publications and preclinical drug evaluation. It is the minimal information guidelines described in this record. MICHA is composed of four main components: compounds, specimens/samples, assay protocols, and quality control and data processing methods.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11316}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Drug Discovery","Drug Development"],"domains":["Biological sample annotation","Drug","Assay","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":3169,"pubmed_id":null,"title":"Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments","year":2021,"url":"http://dx.doi.org/10.1093/bib/bbab350","authors":"Tanoli, Ziaurrehman; Aldahdooh, Jehad; Alam, Farhan; Wang, Yinyin; Seemab, Umair; Fratelli, Maddalena; Pavlis, Petr; Hajduch, Marian; Bietrix, Florence; Gribbon, Philip; Zaliani, Andrea; Hall, Matthew D; Shen, Min; Brimacombe, Kyle; Kulesskiy, Evgeny; Saarela, Jani; Wennerberg, Krister; Vähä-Koskela, Markus; Tang, Jing; ","journal":"Briefings in Bioinformatics","doi":"10.1093/bib/bbab350","created_at":"2021-12-21T08:52:29.950Z","updated_at":"2021-12-21T08:52:29.950Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2218,"relation":"undefined"}],"grants":[{"id":7461,"fairsharing_record_id":1435,"organisation_id":2134,"relation":"maintains","created_at":"2021-09-30T09:28:38.497Z","updated_at":"2021-09-30T09:28:38.497Z","grant_id":null,"is_lead":true,"saved_state":{"id":2134,"name":"Network Pharmacology for Precision Medicine, University of Helsinki, Helsinki, Finland","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7460,"fairsharing_record_id":1435,"organisation_id":1956,"relation":"maintains","created_at":"2021-09-30T09:28:38.409Z","updated_at":"2021-09-30T09:28:38.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7464,"fairsharing_record_id":1435,"organisation_id":1766,"relation":"maintains","created_at":"2021-09-30T09:28:38.638Z","updated_at":"2021-09-30T09:28:38.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":1766,"name":"Mario Negri Institute for Pharmacological Research (MN), Italy","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7465,"fairsharing_record_id":1435,"organisation_id":935,"relation":"associated_with","created_at":"2021-09-30T09:28:38.677Z","updated_at":"2021-12-20T16:32:55.724Z","grant_id":null,"is_lead":false,"saved_state":{"id":935,"name":"European Infrastructure for Translational Medicine (EATRIS)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":7462,"fairsharing_record_id":1435,"organisation_id":1388,"relation":"maintains","created_at":"2021-09-30T09:28:38.564Z","updated_at":"2021-09-30T09:28:38.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1388,"name":"Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7466,"fairsharing_record_id":1435,"organisation_id":1049,"relation":"maintains","created_at":"2021-09-30T09:28:38.707Z","updated_at":"2021-09-30T09:28:38.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":1049,"name":"Fraunhofer Institute for Molecular Biology and Applied Ecology (Fraunhofer IME), Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7467,"fairsharing_record_id":1435,"organisation_id":279,"relation":"maintains","created_at":"2021-09-30T09:28:38.732Z","updated_at":"2021-09-30T09:28:38.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":279,"name":"Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8663,"fairsharing_record_id":1435,"organisation_id":873,"relation":"funds","created_at":"2021-12-21T08:50:41.937Z","updated_at":"2021-12-21T08:50:41.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7463,"fairsharing_record_id":1435,"organisation_id":1429,"relation":"maintains","created_at":"2021-09-30T09:28:38.601Z","updated_at":"2021-09-30T09:28:38.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1429,"name":"Institute of Molecular and Translational Medicine (IMTM), Palacky University Olomouc, Czech Republic","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1447","type":"fairsharing_records","attributes":{"created_at":"2020-11-19T16:31:05.000Z","updated_at":"2022-07-19T19:20:04.484Z","metadata":{"doi":"10.25504/FAIRsharing.a978c9","name":"Tab-separated values","status":"ready","contacts":[],"homepage":"http://www.iana.org/assignments/media-types/text/tab-separated-values","citations":[],"identifier":1447,"description":"A tab-separated values (TSV) file is a simple text format for storing data in a tabular structure, e.g., database table or spreadsheet data,[1] and a way of exchanging information between databases.[2] Each record in the table is one line of the text file. Each field value of a record is separated from the next by a tab character. The TSV format is thus a type of the more general delimiter-separated values format. TSV is a simple file format that is widely supported, so it is often used in data exchange to move tabular data between different computer programs that support the format. For example, a TSV file might be used to transfer information from a database program to a spreadsheet.","abbreviation":"TSV","support_links":[{"url":"http://jkorpela.fi/TSV.html","name":"General Information","type":"Help documentation"}],"year_creation":2000},"legacy_ids":["bsg-001547","bsg-s001547"],"name":"FAIRsharing record for: Tab-separated values","abbreviation":"TSV","url":"https://fairsharing.org/10.25504/FAIRsharing.a978c9","doi":"10.25504/FAIRsharing.a978c9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A tab-separated values (TSV) file is a simple text format for storing data in a tabular structure, e.g., database table or spreadsheet data,[1] and a way of exchanging information between databases.[2] Each record in the table is one line of the text file. Each field value of a record is separated from the next by a tab character. The TSV format is thus a type of the more general delimiter-separated values format. TSV is a simple file format that is widely supported, so it is often used in data exchange to move tabular data between different computer programs that support the format. For example, a TSV file might be used to transfer information from a database program to a spreadsheet.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":9681,"fairsharing_record_id":1447,"organisation_id":3601,"relation":"maintains","created_at":"2022-07-19T18:02:33.852Z","updated_at":"2022-07-19T18:02:33.852Z","grant_id":null,"is_lead":true,"saved_state":{"id":3601,"name":"Internet Assigned Numbers Authority (IANA)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1448","type":"fairsharing_records","attributes":{"created_at":"2020-12-15T14:16:03.000Z","updated_at":"2023-02-23T18:43:44.544Z","metadata":{"doi":"10.25504/FAIRsharing.707262","name":"UNBIS Thesaurus","status":"ready","contacts":[],"homepage":"https://metadata.un.org/thesaurus/?lang=en","citations":[],"identifier":1448,"description":"The UNBIS Thesaurus is a multilingual database of the controlled vocabulary used to describe UN documents and other materials in the Dag Hammarskjöld Library's collection. The UNBIS Thesaurus grows as new topics are introduced to the agenda of the Organization and evolves as the language in the UN documents shifts over time. Controlled vocabulary makes subject searches possible by identifying documents on the same concept, even as terminology changes. UNBIS Thesaurus terms are used in the UN Digital Library as well as other UN programmes, funds and regional commissions. These groups use the UNBIS Thesaurus for the description of bibliographic materials and web content. The UNBIS Thesaurus is available in the six official UN languages (Arabic, Chinese, English, French, Russian and Spanish).","abbreviation":"UNBIS Thesaurus","support_links":[{"url":"https://metadata.un.org/feedback?lang=en","name":"Feedback Form","type":"Contact form"},{"url":"https://metadata.un.org/thesaurus/about?lang=en","name":"About","type":"Help documentation"}],"year_creation":1995},"legacy_ids":["bsg-001566","bsg-s001566"],"name":"FAIRsharing record for: UNBIS Thesaurus","abbreviation":"UNBIS Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.707262","doi":"10.25504/FAIRsharing.707262","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UNBIS Thesaurus is a multilingual database of the controlled vocabulary used to describe UN documents and other materials in the Dag Hammarskjöld Library's collection. The UNBIS Thesaurus grows as new topics are introduced to the agenda of the Organization and evolves as the language in the UN documents shifts over time. Controlled vocabulary makes subject searches possible by identifying documents on the same concept, even as terminology changes. UNBIS Thesaurus terms are used in the UN Digital Library as well as other UN programmes, funds and regional commissions. These groups use the UNBIS Thesaurus for the description of bibliographic materials and web content. The UNBIS Thesaurus is available in the six official UN languages (Arabic, Chinese, English, French, Russian and Spanish).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Fisheries Science","Environmental Science","Forest Management","Engineering Science","Geography","Education Science","Health Science","Global Health","Natural Science","Agriculture","Subject Agnostic","Political Science"],"domains":["Bibliography","Transport"],"taxonomies":["All"],"user_defined_tags":["Employment","Humanitarian Studies","Trade"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"UNBIS Thesaurus Terms and Conditions of Use","licence_id":815,"licence_url":"https://research.un.org/en/thesaurus/downloads","link_id":1657,"relation":"undefined"},{"licence_name":"United Nations websites Terms and conditions of use","licence_id":821,"licence_url":"https://www.un.org/en/about-us/terms-of-use","link_id":1660,"relation":"undefined"}],"grants":[{"id":7494,"fairsharing_record_id":1448,"organisation_id":2923,"relation":"maintains","created_at":"2021-09-30T09:28:39.654Z","updated_at":"2021-09-30T09:28:39.654Z","grant_id":null,"is_lead":true,"saved_state":{"id":2923,"name":"United Nations Dag Hammarskjöld Library, New York, NY, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1449","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T15:35:54.000Z","updated_at":"2022-07-20T11:03:39.426Z","metadata":{"doi":"10.25504/FAIRsharing.7dad4e","name":"Newline Delimited JSON","status":"ready","homepage":"http://ndjson.org/","identifier":1449,"description":"Newline Delimited JSON (NDJSON) is a format for storing or streaming structured data that can be processed one record at a time. It works well with unix-style text processing tools and shell pipelines, and is a suitable format for log files. It's also a flexible format for passing messages between cooperating processes.","abbreviation":"NDJSON","support_links":[{"url":"https://github.com/ndjson/ndjson-spec/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2013},"legacy_ids":["bsg-001564","bsg-s001564"],"name":"FAIRsharing record for: Newline Delimited JSON","abbreviation":"NDJSON","url":"https://fairsharing.org/10.25504/FAIRsharing.7dad4e","doi":"10.25504/FAIRsharing.7dad4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Newline Delimited JSON (NDJSON) is a format for storing or streaming structured data that can be processed one record at a time. It works well with unix-style text processing tools and shell pipelines, and is a suitable format for log files. It's also a flexible format for passing messages between cooperating processes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1451","type":"fairsharing_records","attributes":{"created_at":"2019-06-07T08:07:49.000Z","updated_at":"2021-11-24T13:14:31.186Z","metadata":{"doi":"10.25504/FAIRsharing.xVAQX9","name":"ERN common data elements","status":"ready","contacts":[{"contact_name":"Annika Jacobsen","contact_email":"a.jacobsen@lumc.nl","contact_orcid":"0000-0003-4818-2360"}],"homepage":"https://github.com/ejp-rd-vp/CDE-semantic-model","identifier":1451,"description":"Semantic data model of the set of common data elements for rare disease registration. To make rare disease registry data Interoperable (the 'I' in FAIR). Version 2.0. License CC0. Here, we present a semantic data model of the set of common data elements for rare diseases registration recommended by the European commission joint research centre. There are 16 data elements: ‘Pseudonym’, ‘Date of Birth’, ‘Sex’, ‘Patient’s status’, ‘Date of death’, ‘First contact with specialised centre’, ‘Age at onset’, Age at diagnosis’, ‘Diagnosis of the rare disease’, ‘Genetic diagnosis’, ‘Undiagnosed case’, ‘Agreement to be contacted for research purposes’, ‘Consent to the reuse of data’, ’Biological sample’, ‘Link to a biobank’, ‘Classification of functioning/disability’. The semantic data model is presented in 11 modules describing the different 16 data elements. Central to each module is the 'person'. Each module has in addition different characteristics assigned to the person.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001383","bsg-s001383"],"name":"FAIRsharing record for: ERN common data elements","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xVAQX9","doi":"10.25504/FAIRsharing.xVAQX9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Semantic data model of the set of common data elements for rare disease registration. To make rare disease registry data Interoperable (the 'I' in FAIR). Version 2.0. License CC0. Here, we present a semantic data model of the set of common data elements for rare diseases registration recommended by the European commission joint research centre. There are 16 data elements: ‘Pseudonym’, ‘Date of Birth’, ‘Sex’, ‘Patient’s status’, ‘Date of death’, ‘First contact with specialised centre’, ‘Age at onset’, Age at diagnosis’, ‘Diagnosis of the rare disease’, ‘Genetic diagnosis’, ‘Undiagnosed case’, ‘Agreement to be contacted for research purposes’, ‘Consent to the reuse of data’, ’Biological sample’, ‘Link to a biobank’, ‘Classification of functioning/disability’. The semantic data model is presented in 11 modules describing the different 16 data elements. Central to each module is the 'person'. Each module has in addition different characteristics assigned to the person.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12548}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Medical Informatics"],"domains":["Biobank","Patient care","Rare disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":7495,"fairsharing_record_id":1451,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:28:39.694Z","updated_at":"2021-09-30T09:28:39.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1441","type":"fairsharing_records","attributes":{"created_at":"2021-04-02T00:07:07.000Z","updated_at":"2022-07-20T12:53:50.515Z","metadata":{"doi":"10.25504/FAIRsharing.IUZaXe","name":"ASLS - Land Surface classifiers","status":"ready","contacts":[{"contact_name":"Andrew Biggs","contact_email":"andrew.biggs@resources.qld.gov.au"}],"homepage":"https://github.com/ANZSoilData/def-au-asls-land-surface","citations":[],"identifier":1441,"description":"Machine-readable representation of the classifiers described in chapter 7 Land Surface, by R.C. McDonald, R.F. Isbell and J.G. Speight, in Australian soil and land survey field handbook (3rd edn). Land surface is concerned mainly with surface phenomena affecting land use and soil development that have traditionally been noted at the point of soil observation. The data was converted from the print representation to this linked-data form by Linda Gregory and Simon J D Cox.","abbreviation":"land-surface","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LAND-SURFACE","name":"LAND-SURFACE","portal":"BioPortal"}]},"legacy_ids":["bsg-001605","bsg-s001605"],"name":"FAIRsharing record for: ASLS - Land Surface classifiers","abbreviation":"land-surface","url":"https://fairsharing.org/10.25504/FAIRsharing.IUZaXe","doi":"10.25504/FAIRsharing.IUZaXe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Machine-readable representation of the classifiers described in chapter 7 Land Surface, by R.C. McDonald, R.F. Isbell and J.G. Speight, in Australian soil and land survey field handbook (3rd edn). Land surface is concerned mainly with surface phenomena affecting land use and soil development that have traditionally been noted at the point of soil observation. The data was converted from the print representation to this linked-data form by Linda Gregory and Simon J D Cox.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["soil carbon","Soil pH","Soil texture"],"countries":["Australia"],"publications":[{"id":2514,"pubmed_id":null,"title":"Australian Soil and Land Survey Handbook (Third Edition)","year":2009,"url":"https://www.publish.csiro.au/book/5230","authors":"National Committee on Soil and Terrain","journal":"CSIRO Publishing","doi":null,"created_at":"2021-09-30T08:27:08.484Z","updated_at":"2021-09-30T08:27:08.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":2721,"relation":"applies_to_content"}],"grants":[{"id":7483,"fairsharing_record_id":1441,"organisation_id":1980,"relation":"maintains","created_at":"2021-09-30T09:28:39.232Z","updated_at":"2021-09-30T09:28:39.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1980,"name":"National Committee on Soil and Terrain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1442","type":"fairsharing_records","attributes":{"created_at":"2021-02-26T10:05:07.000Z","updated_at":"2024-01-26T11:52:21.165Z","metadata":{"doi":"10.25504/FAIRsharing.wUoZKE","name":"Research Object Crate","status":"ready","contacts":[{"contact_name":"Stian Soiland-Reyes","contact_email":"soiland-reyes@manchester.ac.uk","contact_orcid":"0000-0001-9842-9718"}],"homepage":"https://w3id.org/ro/crate","citations":[{"doi":"10.3233/DS-210053","pubmed_id":null,"publication_id":3198}],"identifier":1442,"description":"RO-Crate is a community effort to establish a lightweight approach to packaging research data with their metadata. It is based on schema.org annotations in JSON-LD, and aims to make best-practice in formal metadata description accessible and practical for use in a wide variety of situations. An RO-Crate is a structured archive of all the items that contributed to the research outcome, including their identifiers, provenance, relations and annotations.","abbreviation":"RO-Crate","support_links":[{"url":"https://github.com/ResearchObject/ro-crate/issues/new/choose","name":"RO-Crate GitHub issues","type":"Github"},{"url":"https://w3id.org/ro/crate/1.1","name":"RO-Crate Metadata Specification 1.1","type":"Help documentation"}],"year_creation":2019,"associated_tools":[{"url":"https://arkisto-platform.github.io/describo/","name":"Describo 0.13.0"},{"url":"https://www.npmjs.com/package/ro-crate","name":"ro-crate-js 2.0.7"},{"url":"https://pypi.org/project/rocrate/","name":"ro-crate-py 0.5.3"},{"url":"https://arkisto-platform.github.io/describo-online/","name":"Describo Online"},{"url":"https://arkisto-platform.github.io/","name":"Arkisto Platform"}]},"legacy_ids":["bsg-001594","bsg-s001594"],"name":"FAIRsharing record for: Research Object Crate","abbreviation":"RO-Crate","url":"https://fairsharing.org/10.25504/FAIRsharing.wUoZKE","doi":"10.25504/FAIRsharing.wUoZKE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RO-Crate is a community effort to establish a lightweight approach to packaging research data with their metadata. It is based on schema.org annotations in JSON-LD, and aims to make best-practice in formal metadata description accessible and practical for use in a wide variety of situations. An RO-Crate is a structured archive of all the items that contributed to the research outcome, including their identifiers, provenance, relations and annotations.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13911}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Omics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","packaging"],"countries":["Australia","Belgium","Germany","Ireland","Netherlands","Poland","Spain","United Kingdom","United States"],"publications":[{"id":1192,"pubmed_id":null,"title":"A lightweight approach to research object data packaging","year":2019,"url":"http://doi.org/10.5281/zenodo.3250687","authors":"Eoghan Ó Carragáin; Carole Goble; Peter Sefton; Stian Soiland-Reyes","journal":"Bioinformatics Open Source Conference (BOSC2019)","doi":"10.5281/zenodo.3250687","created_at":"2021-09-30T08:24:32.525Z","updated_at":"2021-09-30T08:24:32.525Z"},{"id":3198,"pubmed_id":null,"title":"Packaging research artefacts with RO-Crate","year":2022,"url":"https://doi.org/10.3233/DS-210053","authors":"Stian Soiland-Reyes, Peter Sefton, Mercè Crosas, Leyla Jael Castro, Frederik Coppens, José M. Fernández, Daniel Garijo, Björn Grüning, Marco La Rosa, Simone Leo, Eoghan Ó Carragáin, Marc Portier, Ana Trisovic, RO-Crate Community, Paul Groth, Carole Goble ","journal":"Data Science","doi":"10.3233/DS-210053","created_at":"2022-01-27T11:02:24.942Z","updated_at":"2022-01-27T11:02:24.942Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2408,"relation":"undefined"}],"grants":[{"id":7484,"fairsharing_record_id":1442,"organisation_id":3135,"relation":"undefined","created_at":"2021-09-30T09:28:39.257Z","updated_at":"2021-09-30T09:28:39.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":3135,"name":"University of Technology Sydney, Australia","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":7485,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:39.282Z","updated_at":"2021-09-30T09:28:57.443Z","grant_id":30,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAEDI-2018-1 823830","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8098,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:30:56.947Z","updated_at":"2021-09-30T09:30:56.994Z","grant_id":948,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAIA-2017-1 730976","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8260,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:31:48.307Z","updated_at":"2021-09-30T09:31:48.362Z","grant_id":1334,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRADEV-2019-2 871118","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10021,"fairsharing_record_id":1442,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:39.017Z","updated_at":"2022-10-13T09:43:39.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":7487,"fairsharing_record_id":1442,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:39.364Z","updated_at":"2021-09-30T09:28:39.364Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7486,"fairsharing_record_id":1442,"organisation_id":150,"relation":"funds","created_at":"2021-09-30T09:28:39.326Z","updated_at":"2021-09-30T09:29:19.262Z","grant_id":194,"is_lead":false,"saved_state":{"id":150,"name":"Australian Research Data Commons (ARDC), Melbourne, Australia","grant":"FAIR Simple Scalable Static Research Data Repository","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7956,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:30:04.152Z","updated_at":"2021-09-30T09:30:04.204Z","grant_id":536,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAEOSC-2018-2 824087","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8181,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:31:22.173Z","updated_at":"2021-09-30T09:31:22.223Z","grant_id":1138,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAIA-2018-1 823827","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8779,"fairsharing_record_id":1442,"organisation_id":3374,"relation":"funds","created_at":"2022-02-03T10:51:23.253Z","updated_at":"2022-02-03T10:51:23.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":3374,"name":"European Commission Horizon Europe","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBDZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--50a4e92f705e6ba3ad0568e9e7b07c65a1191ea3/researchobject-rocrate.png?disposition=inline","exhaustive_licences":false}},{"id":"1443","type":"fairsharing_records","attributes":{"created_at":"2021-06-29T14:47:39.000Z","updated_at":"2023-03-15T08:08:11.434Z","metadata":{"doi":"10.25504/FAIRsharing.cb1adb","name":"Portable reduced-precision binary format for trajectories produced by GROMACS package.","status":"ready","contacts":[{"contact_name":"Adam Hospital","contact_email":"adam.hospital@irbbarcelona.org","contact_orcid":"0000-0002-8291-8071"}],"homepage":"https://manual.gromacs.org/documentation/2021/reference-manual/file-formats.html#xtc","citations":[],"identifier":1443,"description":"The XTC format is a portable binary format for trajectories produced by GROMACS package. It uses the External Data Representation (xdr) routines for writing and reading data which were created for the Unix Network File System (NFS). Trajectories are written in XTC files using a reduced precision (lossy) algorithm which works multiplying the coordinates by a scaling factor (typically 1000), so converting them to pm (GROMACS standard distance unit is nm). This allows an integer rounding of the values. Several other tricks are performed, such as making use of atom proximity information: atoms close in sequence are usually close in space (e.g. water molecules). That makes XTC format the most efficient in terms of disk usage, in most cases reducing by a factor of 2 the size of any other binary trajectory format.","abbreviation":"xtc","support_links":[{"url":"https://manual.gromacs.org/documentation/2021/reference-manual/file-formats.html#xtc","name":"GROMACS reference manual","type":"Help documentation"}],"year_creation":1995,"associated_tools":[{"url":"https://www.gromacs.org/","name":"GROMACS 2021"}]},"legacy_ids":["bsg-001620","bsg-s001620"],"name":"FAIRsharing record for: Portable reduced-precision binary format for trajectories produced by GROMACS package.","abbreviation":"xtc","url":"https://fairsharing.org/10.25504/FAIRsharing.cb1adb","doi":"10.25504/FAIRsharing.cb1adb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The XTC format is a portable binary format for trajectories produced by GROMACS package. It uses the External Data Representation (xdr) routines for writing and reading data which were created for the Unix Network File System (NFS). Trajectories are written in XTC files using a reduced precision (lossy) algorithm which works multiplying the coordinates by a scaling factor (typically 1000), so converting them to pm (GROMACS standard distance unit is nm). This allows an integer rounding of the values. Several other tricks are performed, such as making use of atom proximity information: atoms close in sequence are usually close in space (e.g. water molecules). That makes XTC format the most efficient in terms of disk usage, in most cases reducing by a factor of 2 the size of any other binary trajectory format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Sweden"],"publications":[{"id":2540,"pubmed_id":null,"title":"Methods and Techniques in Computational Chemistry: METECC-95","year":1995,"url":"https://www.semanticscholar.org/paper/Methods-and-techniques-in-computational-chemistry-%3A-Clementi-Corongiu/40385d32372c7c8af5dd4fe1ee442a47bc8ad87d","authors":"D. Green, K. Meacham, M. Surridge, F. van Hoesel and J. Berendsen","journal":"Methods and Techniques in Computational Chemistry: METECC-95","doi":null,"created_at":"2021-09-30T08:27:11.512Z","updated_at":"2021-09-30T08:27:11.512Z"}],"licence_links":[],"grants":[{"id":7488,"fairsharing_record_id":1443,"organisation_id":230,"relation":"maintains","created_at":"2021-09-30T09:28:39.405Z","updated_at":"2021-09-30T09:28:39.405Z","grant_id":null,"is_lead":true,"saved_state":{"id":230,"name":"BioExcel CoE","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7489,"fairsharing_record_id":1443,"organisation_id":913,"relation":"funds","created_at":"2021-09-30T09:28:39.443Z","updated_at":"2021-09-30T09:32:30.296Z","grant_id":1650,"is_lead":false,"saved_state":{"id":913,"name":"European Commision","grant":"675728","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1444","type":"fairsharing_records","attributes":{"created_at":"2020-11-13T14:28:10.000Z","updated_at":"2022-07-20T09:17:05.454Z","metadata":{"doi":"10.25504/FAIRsharing.683eef","name":"QuakeML","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"quakeml@sed.ethz.ch"}],"homepage":"https://quake.ethz.ch/quakeml","citations":[],"identifier":1444,"description":"QuakeML is a flexible, extensible and modular XML representation of seismological data which is intended to cover a broad range of fields of application in modern seismology. QuakeML is an open standard and is developed by a distributed team in a transparent collaborative manner. The flexible approach of QuakeML allows further extensions of the standard in order to represent waveform data, macroseismic information, probability density functions, slip distributions, shake maps, and others.","abbreviation":null,"support_links":[{"url":"https://quake.ethz.ch/quakeml/Documents","name":"About QuakeML 1.1/1.2","type":"Help documentation"},{"url":"https://quake.ethz.ch/quakeml/QuakeML2.0","name":"About QuakeML 2.0","type":"Help documentation"},{"url":"https://quake.ethz.ch/quakeml/Development","name":"QuakeML Development","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/QuakeML","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2007},"legacy_ids":["bsg-001539","bsg-s001539"],"name":"FAIRsharing record for: QuakeML","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.683eef","doi":"10.25504/FAIRsharing.683eef","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: QuakeML is a flexible, extensible and modular XML representation of seismological data which is intended to cover a broad range of fields of application in modern seismology. QuakeML is an open standard and is developed by a distributed team in a transparent collaborative manner. The flexible approach of QuakeML allows further extensions of the standard in order to represent waveform data, macroseismic information, probability density functions, slip distributions, shake maps, and others.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Earthquake","Seismology"],"countries":["Worldwide"],"publications":[{"id":3068,"pubmed_id":null,"title":"QuakeML: status of the XML-based seismological data exchange format","year":2011,"url":"http://dx.doi.org/10.4401%2Fag-4874","authors":"Danijel Schorlemmer, Fabian Euchner, Philipp Kästli, Joachim Saul","journal":"Annals of Geophysics","doi":null,"created_at":"2021-09-30T08:28:18.084Z","updated_at":"2021-09-30T08:28:18.084Z"}],"licence_links":[],"grants":[{"id":7491,"fairsharing_record_id":1444,"organisation_id":2688,"relation":"maintains","created_at":"2021-09-30T09:28:39.522Z","updated_at":"2021-09-30T09:28:39.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":2688,"name":"Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7490,"fairsharing_record_id":1444,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:28:39.480Z","updated_at":"2021-09-30T09:31:08.578Z","grant_id":1036,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"Network of Research Infrastructures for European Seismology (NERIES)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa1VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b39cda6ad53b3ef2070b52a6daad27d5b1bc7e0f/quakeml.logo.528x63.png?disposition=inline","exhaustive_licences":false}},{"id":"1455","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-02-18T11:03:46.681Z","metadata":{"doi":"10.25504/FAIRsharing.bxc508","name":"Ontology for Biobanking","status":"ready","contacts":[{"contact_name":"Jie Zheng","contact_email":"jiezheng@pennmedicine.upenn.edu","contact_orcid":null}],"homepage":"https://github.com/biobanking/biobanking/wiki","citations":[{"doi":"10.1186/s13326-016-0068-y","pubmed_id":null,"publication_id":3150}],"identifier":1455,"description":"The ontology for Biobanking (OBIB) is an ontology built for annotation and modeling of biobank repository and biobanking administration. It is developed based on subset of Ontology for Biomedical Investigations (OBI) using Basic Formal Ontology (BFO) as top ontology and following OBO Foundry principles. The first version of the ontology is merged of two existing biobank related ontologies, OMIABIS and biobank ontology.","abbreviation":"OBIB","support_links":[{"url":"MBrochhausen@uams.edu","name":"Mathias Brochhausen","type":"Support email"},{"url":"stoeckrt@upenn.edu","name":"Chris Stoeckert","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBIB","name":"OBIB","portal":"BioPortal"}]},"legacy_ids":["bsg-000823","bsg-s000823"],"name":"FAIRsharing record for: Ontology for Biobanking","abbreviation":"OBIB","url":"https://fairsharing.org/10.25504/FAIRsharing.bxc508","doi":"10.25504/FAIRsharing.bxc508","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology for Biobanking (OBIB) is an ontology built for annotation and modeling of biobank repository and biobanking administration. It is developed based on subset of Ontology for Biomedical Investigations (OBI) using Basic Formal Ontology (BFO) as top ontology and following OBO Foundry principles. The first version of the ontology is merged of two existing biobank related ontologies, OMIABIS and biobank ontology.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17645},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14548}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Biobank"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3150,"pubmed_id":null,"title":"OBIB-a novel ontology for biobanking","year":2016,"url":"http://dx.doi.org/10.1186/s13326-016-0068-y","authors":"Brochhausen, Mathias; Zheng, Jie; Birtwell, David; Williams, Heather; Masci, Anna Maria; Ellis, Helena Judge; Stoeckert, Christian J.; ","journal":"J Biomed Semant","doi":"10.1186/s13326-016-0068-y","created_at":"2021-12-06T19:35:59.205Z","updated_at":"2021-12-06T19:35:59.205Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2529,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1456","type":"fairsharing_records","attributes":{"created_at":"2020-02-10T13:07:56.000Z","updated_at":"2022-07-20T12:54:04.803Z","metadata":{"doi":"10.25504/FAIRsharing.o67X7e","name":"Metadata Object Description Schema","status":"ready","contacts":[{"contact_name":"Network Development and MARC Standards Office","contact_email":"ndmso@loc.gov"}],"homepage":"http://www.loc.gov/standards/mods/","identifier":1456,"description":"Metadata Object Description Schema (MODS) is a schema for a bibliographic element set that may be used for a variety of purposes, and particularly for library applications. As an XML schema it is intended to be able to carry selected data from existing MARC 21 records as well as to enable the creation of original resource description records. MODS is intended to complement other metadata formats. For some applications, particularly those that have used MARC records, there will be advantages over other metadata schemes. Some advantages are: the element set is richer than Dublin Core; the element set is more compatible with library data than ONIX; the schema is more end user oriented than the full MARCXML schema; the element set is simpler than the full MARC format. Please note that round-tripping between MARC 21 and MODS is not guaranteed.","abbreviation":"MODS","support_links":[{"url":"mods@listserv.loc.gov","name":"MODS Listserv","type":"Support email"},{"url":"http://www.loc.gov/standards/mods/userguide/index.html","name":"User Guidelines","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/design-principles-mods-mads.html","name":"Design Principles","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/mods-overview.html","name":"About MODS","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/mods-resources.html","name":"MODS Resources","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/registry.php","name":"MODS Implementation Registry","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/mods-conversions.html","name":"Mappings and Conversions","type":"Help documentation"}],"year_creation":2002,"associated_tools":[{"url":"http://www.loc.gov/standards/mods/tools_for_mods.php","name":"MODS Tools"}]},"legacy_ids":["bsg-001437","bsg-s001437"],"name":"FAIRsharing record for: Metadata Object Description Schema","abbreviation":"MODS","url":"https://fairsharing.org/10.25504/FAIRsharing.o67X7e","doi":"10.25504/FAIRsharing.o67X7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metadata Object Description Schema (MODS) is a schema for a bibliographic element set that may be used for a variety of purposes, and particularly for library applications. As an XML schema it is intended to be able to carry selected data from existing MARC 21 records as well as to enable the creation of original resource description records. MODS is intended to complement other metadata formats. For some applications, particularly those that have used MARC records, there will be advantages over other metadata schemes. Some advantages are: the element set is richer than Dublin Core; the element set is more compatible with library data than ONIX; the schema is more end user oriented than the full MARCXML schema; the element set is simpler than the full MARC format. Please note that round-tripping between MARC 21 and MODS is not guaranteed.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13366}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Citation","Bibliography","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":1978,"relation":"undefined"}],"grants":[{"id":7499,"fairsharing_record_id":1456,"organisation_id":1885,"relation":"maintains","created_at":"2021-09-30T09:28:39.843Z","updated_at":"2021-09-30T09:28:39.843Z","grant_id":null,"is_lead":true,"saved_state":{"id":1885,"name":"MODS Editorial Committee","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7500,"fairsharing_record_id":1456,"organisation_id":2132,"relation":"maintains","created_at":"2021-09-30T09:28:39.876Z","updated_at":"2021-09-30T09:28:39.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":2132,"name":"Network Development and MARC Standards Office","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1457","type":"fairsharing_records","attributes":{"created_at":"2020-02-03T17:56:31.000Z","updated_at":"2024-03-21T13:59:40.054Z","metadata":{"doi":"10.25504/FAIRsharing.lWbenx","name":"Reference list of Metabolite names","status":"ready","contacts":[{"contact_name":"Christine Kirkpatrick","contact_email":"christine@sdsc.edu","contact_orcid":"0000-0002-4451-8042"}],"homepage":"https://www.metabolomicsworkbench.org/databases/refmet/index.php","citations":[],"identifier":1457,"description":"RefMet provides a standardized reference nomenclature for both discrete metabolite structures and metabolite species identified by spectroscopic techniques in metabolomics experiments. This is an essential prerequisite for the ability to compare and contrast metabolite data across different experiments and studies. Over 200,000 names from a set of over 1,100 MS and NMR studies on the Metabolomics Workbench has been used to generate a highly curated analytical chemistry-centric list of common names for metabolite structures and isobaric species. Additionally, the vast majority of these names have been linked to a metabolite classification system using a combination of LIPID MAPS and ClassyFire classification methods. A name-conversion user interface is provided where users can submit a list of metabolite names and map them to the corresponding RefMet names. New metabolites are constantly being added to RefMet, however very new metabolite names generated by metabolomics experiments may not currently map to RefMet identifiers. Nevertheless, RefMet has the ability to greatly increase the data-sharing potential of metabolomics experiments and facilitate \"meta-analysis\" and systems biology objectives for the majority of commonly encountered metabolite species.","abbreviation":"RefMet","support_links":[{"url":"https://www.metabolomicsworkbench.org/databases/refmet/refmet_help.php","name":"RefMet Help","type":"Help documentation"}],"associated_tools":[{"url":"https://www.metabolomicsworkbench.org/databases/refmet/name_to_refmet_form.php","name":"Convert to RefMet Nomenclature"},{"url":"https://www.metabolomicsworkbench.org/databases/refmet/mobile_apps.php","name":"Mobile Reference of Metabolite Names for iPhone 1"}]},"legacy_ids":["bsg-001445","bsg-s001445"],"name":"FAIRsharing record for: Reference list of Metabolite names","abbreviation":"RefMet","url":"https://fairsharing.org/10.25504/FAIRsharing.lWbenx","doi":"10.25504/FAIRsharing.lWbenx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RefMet provides a standardized reference nomenclature for both discrete metabolite structures and metabolite species identified by spectroscopic techniques in metabolomics experiments. This is an essential prerequisite for the ability to compare and contrast metabolite data across different experiments and studies. Over 200,000 names from a set of over 1,100 MS and NMR studies on the Metabolomics Workbench has been used to generate a highly curated analytical chemistry-centric list of common names for metabolite structures and isobaric species. Additionally, the vast majority of these names have been linked to a metabolite classification system using a combination of LIPID MAPS and ClassyFire classification methods. A name-conversion user interface is provided where users can submit a list of metabolite names and map them to the corresponding RefMet names. New metabolites are constantly being added to RefMet, however very new metabolite names generated by metabolomics experiments may not currently map to RefMet identifiers. Nevertheless, RefMet has the ability to greatly increase the data-sharing potential of metabolomics experiments and facilitate \"meta-analysis\" and systems biology objectives for the majority of commonly encountered metabolite species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Metabolomics","Systems Biology"],"domains":["Metabolite","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Metabolomics Workbench Terms of Use","licence_id":506,"licence_url":"https://www.metabolomicsworkbench.org/about/termsofuse.php","link_id":21,"relation":"undefined"}],"grants":[{"id":7502,"fairsharing_record_id":1457,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:28:39.925Z","updated_at":"2021-09-30T09:28:39.925Z","grant_id":null,"is_lead":true,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":10044,"fairsharing_record_id":1457,"organisation_id":359,"relation":"collaborates_on","created_at":"2022-10-13T09:43:42.452Z","updated_at":"2022-10-13T09:43:42.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":11545,"fairsharing_record_id":1457,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:13.611Z","updated_at":"2024-03-21T13:58:13.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11614,"fairsharing_record_id":1457,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:40.020Z","updated_at":"2024-03-21T13:59:40.020Z","grant_id":null,"is_lead":false,"saved_state":{"id":3309,"name":"Wishart Research Group, University of Alberta, Edmonton, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1452","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:22:43.333Z","metadata":{"doi":"10.25504/FAIRsharing.th72sy","name":"IBP Wheat Plant Anatomy and Development Ontology","status":"deprecated","contacts":[{"contact_name":"Rosemary Shrestha","contact_email":"r.shrestha2@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_121:ROOT","citations":[],"identifier":1452,"description":"The IBP Wheat Plant Anatomy and Development Ontology defines growth stages of wheat and is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information. Although this ontology seems to have a stable status on its homepage, it is listed as Retired in AgroPortal. Therefore we have marked its record status as Uncertain. Please get in touch if you have information regarding the current status of this resource.","abbreviation":"CO_121","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001098","bsg-s001098"],"name":"FAIRsharing record for: IBP Wheat Plant Anatomy and Development Ontology","abbreviation":"CO_121","url":"https://fairsharing.org/10.25504/FAIRsharing.th72sy","doi":"10.25504/FAIRsharing.th72sy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IBP Wheat Plant Anatomy and Development Ontology defines growth stages of wheat and is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information. Although this ontology seems to have a stable status on its homepage, it is listed as Retired in AgroPortal. Therefore we have marked its record status as Uncertain. Please get in touch if you have information regarding the current status of this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Plant Anatomy","Plant Cell Biology"],"domains":["Food"],"taxonomies":["Triticum aestivum"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1840,"relation":"undefined"}],"grants":[{"id":7496,"fairsharing_record_id":1452,"organisation_id":1458,"relation":"maintains","created_at":"2021-09-30T09:28:39.726Z","updated_at":"2021-09-30T09:28:39.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":1458,"name":"Integrated Breeding Platform (IBP), Mexico, Mexico","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7497,"fairsharing_record_id":1452,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:39.764Z","updated_at":"2021-09-30T09:28:39.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1453","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-03-24T10:00:49.677Z","metadata":{"doi":"10.25504/FAIRsharing.bg7bb6","name":"The Oral Health and Disease Ontology","status":"ready","contacts":[{"contact_name":"Bill Duncan","contact_email":"wdduncan@gmail.com"}],"homepage":"https://github.com/oral-health-and-disease-ontologies/ohd-ontology","citations":[],"identifier":1453,"description":"The Oral Health and Disease Ontology is intended as a BFO and OBO Foundry compliant ontology for the oral health domain. It is currently used to represent the content of dental practice health records and is intended to be further developed for use in translation medicine. It demonstrates a principled split between billing codes as information entities and what the codes are about, such as dental procedures, materials, and patients. OHD is structured using BFO uses terms from OGMS, OBI, IAO and FMA. In addition it uses terms from CARO, OMRSE, NCBITaxon, and a subset of terms from the Current Dental Terminology (CDT) OHD is in early development and subject to change without notice.","abbreviation":"OHD","support_links":[{"url":"alanruttenberg@gmail.com","name":"Alan Ruttenberg","type":"Support email"},{"url":"schleyer@regenstrief.org","type":"Support email"},{"url":"https://player.vimeo.com/video/50843791?title=0\u0026byline=0\u0026portrait=0","type":"Video"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OHD","name":"OHD","portal":"BioPortal"},{"url":"https://ontobee.org/ontology/OHD","name":"Ontobee: OHD","portal":"Other"}]},"legacy_ids":["bsg-000834","bsg-s000834"],"name":"FAIRsharing record for: The Oral Health and Disease Ontology","abbreviation":"OHD","url":"https://fairsharing.org/10.25504/FAIRsharing.bg7bb6","doi":"10.25504/FAIRsharing.bg7bb6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oral Health and Disease Ontology is intended as a BFO and OBO Foundry compliant ontology for the oral health domain. It is currently used to represent the content of dental practice health records and is intended to be further developed for use in translation medicine. It demonstrates a principled split between billing codes as information entities and what the codes are about, such as dental procedures, materials, and patients. OHD is structured using BFO uses terms from OGMS, OBI, IAO and FMA. In addition it uses terms from CARO, OMRSE, NCBITaxon, and a subset of terms from the Current Dental Terminology (CDT) OHD is in early development and subject to change without notice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Dentistry","Oral Surgery"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10452,"fairsharing_record_id":1453,"organisation_id":2270,"relation":"associated_with","created_at":"2023-03-24T09:58:07.035Z","updated_at":"2023-03-24T09:58:07.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10451,"fairsharing_record_id":1453,"organisation_id":3929,"relation":"associated_with","created_at":"2023-03-24T09:58:07.034Z","updated_at":"2023-03-24T09:58:07.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":3929,"name":"University at Buffalo School of Dental Medicine","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10453,"fairsharing_record_id":1453,"organisation_id":3930,"relation":"associated_with","created_at":"2023-03-24T09:58:07.035Z","updated_at":"2023-03-24T09:58:07.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":3930,"name":"University of Pittsburg School of Dental Medicine","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10454,"fairsharing_record_id":1453,"organisation_id":2414,"relation":"undefined","created_at":"2023-03-24T09:58:07.076Z","updated_at":"2023-03-24T09:58:07.076Z","grant_id":null,"is_lead":false,"saved_state":{"id":2414,"name":"Regenstrief Institute, Inc, Indianapolis, Indiana, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1454","type":"fairsharing_records","attributes":{"created_at":"2020-09-15T11:12:34.000Z","updated_at":"2024-06-11T09:38:54.809Z","metadata":{"doi":"10.25504/FAIRsharing.Mghsr2","name":"Global Change Master Directory Keywords","status":"ready","contacts":[{"contact_name":"GCMD User Support","contact_email":"support@earthdata.nasa.gov"}],"homepage":"https://earthdata.nasa.gov/earth-observation-data/find-data/gcmd/gcmd-keywords","citations":[],"identifier":1454,"description":"Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth Science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables. Initiated over twenty years ago, GCMD Keywords are periodically analyzed for relevancy and will continue to be refined and expanded in response to user needs.","abbreviation":"GCMD Keywords","support_links":[{"url":"https://wiki.earthdata.nasa.gov/display/CMR/Keyword+FAQ","name":"GCMD FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords","name":"GCMD Forum","type":"Forum"},{"url":"https://wiki.earthdata.nasa.gov/display/gcmdkey/Keyword+Management+Service+Application+Program+Interface","name":"RESTful API Documentation","type":"Help documentation"},{"url":"https://cdn.earthdata.nasa.gov/conduit/upload/5182/KeywordsCommunityGuide_Baseline_v1_SIGNED_FINAL.pdf","name":"Governance and Community Guide","type":"Help documentation"},{"url":"https://idn.ceos.org/mapping.html","name":"Mapping GCMD to CEOS MIM","type":"Help documentation"}]},"legacy_ids":["bsg-001523","bsg-s001523"],"name":"FAIRsharing record for: Global Change Master Directory Keywords","abbreviation":"GCMD Keywords","url":"https://fairsharing.org/10.25504/FAIRsharing.Mghsr2","doi":"10.25504/FAIRsharing.Mghsr2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth Science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables. Initiated over twenty years ago, GCMD Keywords are periodically analyzed for relevancy and will continue to be refined and expanded in response to user needs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Geographical location","Device"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA's Data and Information Policy","licence_id":539,"licence_url":"https://earthdata.nasa.gov/earth-science-data-systems-program/policies/data-information-policy","link_id":607,"relation":"undefined"},{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":608,"relation":"applies_to_content"}],"grants":[{"id":7498,"fairsharing_record_id":1454,"organisation_id":809,"relation":"maintains","created_at":"2021-09-30T09:28:39.806Z","updated_at":"2021-09-30T09:28:39.806Z","grant_id":null,"is_lead":true,"saved_state":{"id":809,"name":"Earth Science Data Systems (ESDS) Program, Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1445","type":"fairsharing_records","attributes":{"created_at":"2018-09-25T13:58:43.000Z","updated_at":"2021-11-24T13:16:10.115Z","metadata":{"name":"Federal Geographic Data Committee: Content Standard for Digital Geospatial Metadata","status":"deprecated","contacts":[{"contact_email":"fgdc@fgdc.gov"}],"homepage":"https://www.fgdc.gov/metadata/csdgm-standard","identifier":1445,"description":"Content Standard for Digital Geospatial Metadata (CSDGM), Vers. 2 (FGDC-STD-001-1998) is the current version of this FGDC authored and endorsed standard. The objectives of the standard are to provide a common set of terminology and definitions for the documentation of digital geospatial data. The standard establishes the names of data elements and compound elements (groups of data elements) to be used for these purposes, the definitions of these compound elements and data elements, and information about the values that are to be provided for the data elements. This standard is intended to support the collection and processing of geospatial metadata. It is intended to be usable by all levels of government and the private sector. This record also references three CSDGM extensions: the Extensions for Remote Sensing Metadata, the Biological Data Profile, and the Metadata Profile for Shoreline Data. Executive Order 12906 directed that Federal agencies document geospatial resources using this standard. Since the publication of EO 12906, the FGDC has endorsed several ISO Geospatial Metadata Standards that are now encouraged for use.","abbreviation":"FGDC CSDGM","support_links":[{"url":"https://www.fgdc.gov/metadata/documents/MetadataQuickGuide.pdf","name":"Quick Guide","type":"Help documentation"},{"url":"https://www.fgdc.gov/metadata/documents/workbook_0501_bmk.pdf","name":"CSDGM Workbook","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/metadata/base-metadata/v2_0698.pdf","name":"Specification document (pdf)","type":"Help documentation"},{"url":"https://www.fgdc.gov/metadata/documents/CSDGMEssentialMeta_20080514.pdf","name":"Essential Metadata Documentation","type":"Help documentation"},{"url":"http://www.fgdc.gov/csdgmgraphical/index.html","name":"CSDGM Graphical Representation","type":"Help documentation"},{"url":"https://www.fgdc.gov/metadata/csdgm/index_html","name":"Specification document (html)","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/csdgm_rs_ex/MetadataRemoteSensingExtens.pdf","name":"Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata (pdf)","type":"Help documentation"},{"url":"http://www.csc.noaa.gov/metadata/sprofile.pdf","name":"Metadata Profile for Shoreline Data (pdf)","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/metadata/biometadata/biodatap.pdf","name":"Biological Data Profile of the Content Standard for Digital Geospatial Metadata (pdf)","type":"Help documentation"}],"year_creation":1998,"associated_tools":[{"url":"http://mercury.ornl.gov/OME/","name":"USGS Core Sciences Online Metadata Editor"},{"url":"https://www.sciencebase.gov/catalog/item/50ed7aa4e4b0438b00db080a","name":"USGS Metadata Wizard"}],"deprecation_date":"2018-09-25","deprecation_reason":"This resource has been deprecated by the FGDC in favor of ISO Geospatial Metadata Standards."},"legacy_ids":["bsg-001293","bsg-s001293"],"name":"FAIRsharing record for: Federal Geographic Data Committee: Content Standard for Digital Geospatial Metadata","abbreviation":"FGDC CSDGM","url":"https://fairsharing.org/fairsharing_records/1445","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Content Standard for Digital Geospatial Metadata (CSDGM), Vers. 2 (FGDC-STD-001-1998) is the current version of this FGDC authored and endorsed standard. The objectives of the standard are to provide a common set of terminology and definitions for the documentation of digital geospatial data. The standard establishes the names of data elements and compound elements (groups of data elements) to be used for these purposes, the definitions of these compound elements and data elements, and information about the values that are to be provided for the data elements. This standard is intended to support the collection and processing of geospatial metadata. It is intended to be usable by all levels of government and the private sector. This record also references three CSDGM extensions: the Extensions for Remote Sensing Metadata, the Biological Data Profile, and the Metadata Profile for Shoreline Data. Executive Order 12906 directed that Federal agencies document geospatial resources using this standard. Since the publication of EO 12906, the FGDC has endorsed several ISO Geospatial Metadata Standards that are now encouraged for use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7492,"fairsharing_record_id":1445,"organisation_id":1001,"relation":"maintains","created_at":"2021-09-30T09:28:39.581Z","updated_at":"2021-09-30T09:28:39.581Z","grant_id":null,"is_lead":true,"saved_state":{"id":1001,"name":"Federal Geographic Data Committee (FGDC), Virginia, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1446","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-08-17T06:07:49.259Z","metadata":{"doi":"10.25504/FAIRsharing.jh4xht","name":"Semantic Web for Earth and Environmental Terminology Ontology","status":"ready","contacts":[{"contact_name":"ESIP STC","contact_email":"esip-semantictech@lists.esipfed.org","contact_orcid":null}],"homepage":"http://sweetontology.net/","citations":[],"identifier":1446,"description":"The Semantic Web for Earth and Environmental Terminology is a mature foundation ontology originally developed at the NASA Jet Propulsion Laboratory. Containing over 11000 concepts organized into ~200 ontologies, its top-level concepts include Representation (math, space, science, time, data), Realm (Ocean, Land Surface, Terrestrial Hydroshere, Atmosphere, etc.), Phenomena (macro-scale ecological and physical), Processes (micro-scale physical, biological, chemical, and mathematical), and Human Activities (Decision, Commerce, Jurisdiction, Environmental, Research). Since 2017, SWEET has been under the governance of the ESIP foundation.","abbreviation":"SWEET","support_links":[{"url":"https://github.com/ESIPFed/sweet/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Recognition-of-SWEET-Contributors","name":"How to Credit your Contributions","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Graphics","name":"Ontology Graphics","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Publications","name":"Publications describing SWEET","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/SWEET-Annotation-Convention","name":"Annotation Conventions","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Community-Announcements","name":"News","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/SWEET-IRI-Patterns-for-Ontologies-and-their-Terms","name":"Curation: IRI Patterns","type":"Github"},{"url":"esip-semantictech@lists.esipfed.org","name":"ESIP STC committee","type":"Support email"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SWEET","name":"SWEET","portal":"BioPortal"}]},"legacy_ids":["bsg-001030","bsg-s001030"],"name":"FAIRsharing record for: Semantic Web for Earth and Environmental Terminology Ontology","abbreviation":"SWEET","url":"https://fairsharing.org/10.25504/FAIRsharing.jh4xht","doi":"10.25504/FAIRsharing.jh4xht","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Semantic Web for Earth and Environmental Terminology is a mature foundation ontology originally developed at the NASA Jet Propulsion Laboratory. Containing over 11000 concepts organized into ~200 ontologies, its top-level concepts include Representation (math, space, science, time, data), Realm (Ocean, Land Surface, Terrestrial Hydroshere, Atmosphere, etc.), Phenomena (macro-scale ecological and physical), Processes (micro-scale physical, biological, chemical, and mathematical), and Human Activities (Decision, Commerce, Jurisdiction, Environmental, Research). Since 2017, SWEET has been under the governance of the ESIP foundation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Geology","Geography","Earth Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2221,"relation":"undefined"}],"grants":[{"id":7493,"fairsharing_record_id":1446,"organisation_id":810,"relation":"maintains","created_at":"2021-09-30T09:28:39.620Z","updated_at":"2021-09-30T09:28:39.620Z","grant_id":null,"is_lead":true,"saved_state":{"id":810,"name":"Earth Science Information Partners (ESIP)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1458","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-07-19T13:59:19.312Z","metadata":{"doi":"10.25504/FAIRsharing.5a4y1y","name":"Obstetric and Neonatal Ontology","status":"ready","contacts":[{"contact_name":"Fernanda Farinelli","contact_email":"fernanda.farinelli@gmail.com"}],"homepage":"https://ontoneo.com/","citations":[],"identifier":1458,"description":"The Obstetric and Neonatal Ontology is a structured controlled vocabulary to provide a representation of the data from electronic health records (EHRs) involved in the care of the pregnant woman, and of her baby.","abbreviation":"ONTONEO","support_links":[{"url":"ontoneo-discuss@googlegroups.com","name":"OntONeo project discussing group","type":"Support email"},{"url":"https://www.researchgate.net/publication/304254064_OntONeo_The_Obstetric_and_Neonatal_Ontology","name":"Conference paper","type":"Other"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTONEO","name":"ONTONEO","portal":"BioPortal"}]},"legacy_ids":["bsg-000983","bsg-s000983"],"name":"FAIRsharing record for: Obstetric and Neonatal Ontology","abbreviation":"ONTONEO","url":"https://fairsharing.org/10.25504/FAIRsharing.5a4y1y","doi":"10.25504/FAIRsharing.5a4y1y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Obstetric and Neonatal Ontology is a structured controlled vocabulary to provide a representation of the data from electronic health records (EHRs) involved in the care of the pregnant woman, and of her baby.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Obstetrics"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3802,"pubmed_id":null,"title":"Ontologies for the representation of electronic medical records: The obstetric and neonatal ontology","year":2017,"url":"http://dx.doi.org/10.1002/asi.23900","authors":"Barcellos Almeida, Mauricio; Farinelli, Fernanda; ","journal":"Journal of the Association for Information Science and Technology","doi":"10.1002/asi.23900","created_at":"2023-03-17T08:49:55.633Z","updated_at":"2023-03-17T08:49:55.633Z"}],"licence_links":[],"grants":[{"id":10424,"fairsharing_record_id":1458,"organisation_id":3919,"relation":"undefined","created_at":"2023-03-17T08:52:25.829Z","updated_at":"2023-03-17T08:52:25.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":3919,"name":"Federal Institute of Minas Gerais","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1460","type":"fairsharing_records","attributes":{"created_at":"2020-07-01T12:21:15.000Z","updated_at":"2022-07-20T10:49:54.289Z","metadata":{"doi":"10.25504/FAIRsharing.217b1b","name":"MARCXML","status":"ready","contacts":[{"contact_name":"Network Development and MARC Standards Office","contact_email":"ndmso@loc.gov"}],"homepage":"https://www.loc.gov/standards/marcxml/","identifier":1460,"description":"The MARC formats are standards for the representation and communication of bibliographic and related information in machine-readable form. MARCXML is an XML encoding of the MARC 21 format.","abbreviation":"MARCXML","support_links":[{"url":"https://www.loc.gov/standards/marcxml/marcxml-design.html","name":"MARCXML Design Considerations","type":"Help documentation"},{"url":"https://www.loc.gov/standards/marcxml/marcxml-architecture.html","name":"MARCXML Architecture","type":"Help documentation"},{"url":"https://www.loc.gov/standards/marcxml/marcxml-overview.html","name":"MARCXML Uses and Features","type":"Help documentation"},{"url":"https://www.loc.gov/standards/marcxml/xml/spy/spy.html","name":"MARCXML Schema Visualisation","type":"Help documentation"}],"year_creation":2006,"associated_tools":[{"url":"https://www.loc.gov/standards/marcxml/marcxml.zip","name":"MARC21 to MARCXML Toolkit"}]},"legacy_ids":["bsg-001504","bsg-s001504"],"name":"FAIRsharing record for: MARCXML","abbreviation":"MARCXML","url":"https://fairsharing.org/10.25504/FAIRsharing.217b1b","doi":"10.25504/FAIRsharing.217b1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MARC formats are standards for the representation and communication of bibliographic and related information in machine-readable form. MARCXML is an XML encoding of the MARC 21 format.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13365}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Data Management"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":1980,"relation":"undefined"}],"grants":[{"id":7503,"fairsharing_record_id":1460,"organisation_id":2132,"relation":"maintains","created_at":"2021-09-30T09:28:39.953Z","updated_at":"2021-09-30T09:28:39.953Z","grant_id":null,"is_lead":true,"saved_state":{"id":2132,"name":"Network Development and MARC Standards Office","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1566","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:02.836Z","metadata":{"doi":"10.25504/FAIRsharing.evfe2s","name":"Database of Aligned Ribosomal Complexes","status":"deprecated","contacts":[{"contact_name":"Roland Beckmann","contact_email":"Beckmann@lmb.uni-muenchen.de"}],"homepage":"http://darcsite.genzentrum.lmu.de/darc/","identifier":1566,"description":"The Database for Aligned Ribosomal Complexes (DARC) site provides a resource for directly comparing the structures of available ribosomal complexes.","abbreviation":"DARC","data_curation":{"type":"not found"},"support_links":[{"url":"darcsite@genzentrum.lmu.de","type":"Support email"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000020","bsg-d000020"],"name":"FAIRsharing record for: Database of Aligned Ribosomal Complexes","abbreviation":"DARC","url":"https://fairsharing.org/10.25504/FAIRsharing.evfe2s","doi":"10.25504/FAIRsharing.evfe2s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database for Aligned Ribosomal Complexes (DARC) site provides a resource for directly comparing the structures of available ribosomal complexes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12574}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Ribosomal RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1452,"pubmed_id":22009674,"title":"The DARC site: a database of aligned ribosomal complexes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr824","authors":"Jarasch A,Dziuk P,Becker T,Armache JP,Hauser A,Wilson DN,Beckmann R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr824","created_at":"2021-09-30T08:25:02.290Z","updated_at":"2021-09-30T11:29:08.785Z"}],"licence_links":[],"grants":[{"id":73,"fairsharing_record_id":1566,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:17.571Z","updated_at":"2021-09-30T09:30:03.711Z","grant_id":534,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"WI3285/1-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8037,"fairsharing_record_id":1566,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:30:34.354Z","updated_at":"2021-09-30T09:30:34.405Z","grant_id":770,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"SFB594","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8456,"fairsharing_record_id":1566,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:32:43.455Z","updated_at":"2021-09-30T09:32:43.508Z","grant_id":1749,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"SFB646","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1567","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:02:38.134Z","metadata":{"doi":"10.25504/FAIRsharing.hezt3h","name":"DOMMINO: A comprehensive database of macromolecular interactions","status":"deprecated","contacts":[],"homepage":"http://www.dommino.org","citations":[],"identifier":1567,"description":"Database of MacroMolecular INteractions, a resource for macromolecular interactions.","abbreviation":null,"data_curation":{},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2022-06-29","deprecation_reason":"The resource homepage is no longer available, and a new one cannot be found. Please let us know if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000021","bsg-d000021"],"name":"FAIRsharing record for: DOMMINO: A comprehensive database of macromolecular interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.hezt3h","doi":"10.25504/FAIRsharing.hezt3h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of MacroMolecular INteractions, a resource for macromolecular interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular interaction","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1568","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:19:10.210Z","metadata":{"doi":"10.25504/FAIRsharing.dzr6rp","name":"Database of Differentially Expressed Proteins in Human Cancer","status":"deprecated","contacts":[{"contact_name":"dbDEPC Helpdesk","contact_email":"dbdepc@scbit.org"}],"homepage":"https://www.scbit.org/dbdepc3/index.php","identifier":1568,"description":"The dbDEPC is a database of differentially expressed proteins in human cancers.","abbreviation":"dbDEPC","data_curation":{"type":"not found"},"support_links":[{"url":"dbdepc@scbit.org","type":"Support email"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://lifecenter.sgst.cn/dbdepc/profile.do","name":"Draw a Cancer Profile Heatmap"},{"url":"http://lifecenter.sgst.cn/dbdepc/toNetworkPage.do","name":"DEPs Association Network of your Query Proteins"}],"deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000022","bsg-d000022"],"name":"FAIRsharing record for: Database of Differentially Expressed Proteins in Human Cancer","abbreviation":"dbDEPC","url":"https://fairsharing.org/10.25504/FAIRsharing.dzr6rp","doi":"10.25504/FAIRsharing.dzr6rp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The dbDEPC is a database of differentially expressed proteins in human cancers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Gene Ontology enrichment","Differential gene expression analysis","Differential protein expression analysis","Cancer","Molecular interaction","Genetic polymorphism","Protein"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Validation"],"countries":["China"],"publications":[{"id":764,"pubmed_id":22096234,"title":"dbDEPC 2.0: updated database of differentially expressed proteins in human cancers.","year":2011,"url":"http://doi.org/10.1093/nar/gkr936","authors":"He Y,Zhang M,Ju Y,Yu Z,Lv D,Sun H,Yuan W,He F,Zhang J,Li H,Li J,Wang-Sattler R,Li Y,Zhang G,Xie L","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr936","created_at":"2021-09-30T08:23:44.218Z","updated_at":"2021-09-30T11:28:50.475Z"},{"id":1327,"pubmed_id":19900968,"title":"dbDEPC: a database of differentially expressed proteins in human cancers.","year":2009,"url":"http://doi.org/10.1093/nar/gkp933","authors":"Li H., He Y., Ding G., Wang C., Xie L., Li Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp933","created_at":"2021-09-30T08:24:48.567Z","updated_at":"2021-09-30T08:24:48.567Z"}],"licence_links":[],"grants":[{"id":78,"fairsharing_record_id":1568,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:17.765Z","updated_at":"2021-09-30T09:32:48.546Z","grant_id":1784,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30900272","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8047,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:37.978Z","updated_at":"2021-09-30T09:30:38.034Z","grant_id":798,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2010CB912702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8206,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:31.533Z","updated_at":"2021-09-30T09:31:31.580Z","grant_id":1209,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2006CB910700","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8350,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:13.908Z","updated_at":"2021-09-30T09:32:13.965Z","grant_id":1527,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2007AA02Z304","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8481,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:50.735Z","updated_at":"2021-09-30T09:32:50.786Z","grant_id":1803,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009CB918404","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":74,"fairsharing_record_id":1568,"organisation_id":380,"relation":"maintains","created_at":"2021-09-30T09:24:17.606Z","updated_at":"2021-09-30T09:24:17.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":380,"name":"CAS Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Shanghai, China","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":79,"fairsharing_record_id":1568,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:17.808Z","updated_at":"2021-09-30T09:29:40.685Z","grant_id":355,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KSCX2-YW-R-112","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":75,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:17.648Z","updated_at":"2021-09-30T09:29:47.869Z","grant_id":408,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009AA02Z304","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":76,"fairsharing_record_id":1568,"organisation_id":512,"relation":"funds","created_at":"2021-09-30T09:24:17.686Z","updated_at":"2021-09-30T09:31:39.492Z","grant_id":1270,"is_lead":false,"saved_state":{"id":512,"name":"China National Key Projects for Infectious Disease, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China","grant":"2008ZX10002-021","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1569","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:35.707Z","metadata":{"doi":"10.25504/FAIRsharing.z1ars2","name":"Database of Bacterial Exotoxins for Human","status":"deprecated","contacts":[{"contact_name":"Saikat Chakrabarti","contact_email":"saikat@iicb.res.in"}],"homepage":"http://www.hpppi.iicb.res.in/btox/","citations":[],"identifier":1569,"description":"DBETH is the Database of Bacterial Exotoxins for Human. The aim of this database is to assemble information on the toxins responsible for causing bacterial pathogenesis in humans.","abbreviation":"DBETH","data_curation":{"url":"http://www.hpppi.iicb.res.in/btox/About_DBETH.html","type":"manual/automated"},"support_links":[{"url":"http://www.hpppi.iicb.res.in/btox/Faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.hpppi.iicb.res.in/btox/About_DBETH.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2023-09-20","deprecation_reason":"The resource homepage remains available, but the database search and browse features are broken. Please get in touch with us if you have any additional information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.hpppi.iicb.res.in/btox/About_DBETH.html","type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000023","bsg-d000023"],"name":"FAIRsharing record for: Database of Bacterial Exotoxins for Human","abbreviation":"DBETH","url":"https://fairsharing.org/10.25504/FAIRsharing.z1ars2","doi":"10.25504/FAIRsharing.z1ars2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DBETH is the Database of Bacterial Exotoxins for Human. The aim of this database is to assemble information on the toxins responsible for causing bacterial pathogenesis in humans.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16649}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Exotoxin","Structure","Amino acid sequence"],"taxonomies":["Actinobacillus","Aeromonas","Arcanobacterium","Bacillus","Bordetella","Campylobacter","Clostridium","Corynebacterium","Escherichia","Gardnerella","Helicobacter","Kingella","Legionella","Listeria","Mycobacterium","Neisseria","Paenibacillus","Pasteurella","Pseudomonas","Rickettsia","Salmonella","Shigella","Staphylococcus","Streptococcus","Vibrio","Yersinia"],"user_defined_tags":["Pathogenic bacterial exotoxin"],"countries":["India"],"publications":[{"id":42,"pubmed_id":17090593,"title":"MvirDB--a microbial database of protein toxins, virulence factors and antibiotic resistance genes for bio-defence applications.","year":2006,"url":"http://doi.org/10.1093/nar/gkl791","authors":"Zhou CE., Smith J., Lam M., Zemla A., Dyer MD., Slezak T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl791","created_at":"2021-09-30T08:22:24.963Z","updated_at":"2021-09-30T08:22:24.963Z"},{"id":44,"pubmed_id":15608208,"title":"VFDB: a reference database for bacterial virulence factors.","year":2004,"url":"http://doi.org/10.1093/nar/gki008","authors":"Chen L., Yang J., Yu J., Yao Z., Sun L., Shen Y., Jin Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki008","created_at":"2021-09-30T08:22:25.146Z","updated_at":"2021-09-30T08:22:25.146Z"}],"licence_links":[],"grants":[{"id":80,"fairsharing_record_id":1569,"organisation_id":2661,"relation":"maintains","created_at":"2021-09-30T09:24:17.835Z","updated_at":"2021-09-30T09:24:17.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":2661,"name":"Structural Biology and Bioinformatics Division Indian Institute of Chemical Biology","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1570","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:21.987Z","metadata":{"doi":"10.25504/FAIRsharing.f21e5v","name":"DataBase of Transcriptional Start Sites","status":"ready","contacts":[{"contact_name":"Yutaka Suzuki","contact_email":"ysuzuki@ims.u-tokyo.ac.jp"}],"homepage":"http://dbtss.hgc.jp","citations":[],"identifier":1570,"description":"This database includes TSS data from adult and embryonic human tissue. DBTSS now contains 491 million TSS tag sequences for collected from a total of 20 tissues and 7 cell cultures.","abbreviation":"DBTSS","data_curation":{"type":"manual"},"support_links":[{"url":"http://dbtss.hgc.jp/?doc:help_2014.html","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/DBTSS","type":"Wikipedia"},{"url":"https://dbtss.hgc.jp/news.html","type":"Blog/News"}],"year_creation":2002,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000024","bsg-d000024"],"name":"FAIRsharing record for: DataBase of Transcriptional Start Sites","abbreviation":"DBTSS","url":"https://fairsharing.org/10.25504/FAIRsharing.f21e5v","doi":"10.25504/FAIRsharing.f21e5v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database includes TSS data from adult and embryonic human tissue. DBTSS now contains 491 million TSS tag sequences for collected from a total of 20 tissues and 7 cell cultures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Transcription factor"],"taxonomies":["Cyanidioschyzon merolae","Homo sapiens","Macaca fascicularis","Mus musculus","Pan troglodytes","Plasmodium falciparum","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":49,"pubmed_id":19910371,"title":"DBTSS provides a tissue specific dynamic view of Transcription Start Sites.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1017","authors":"Yamashita R., Wakaguri H., Sugano S., Suzuki Y., Nakai K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1017","created_at":"2021-09-30T08:22:25.672Z","updated_at":"2021-09-30T08:22:25.672Z"},{"id":50,"pubmed_id":17942421,"title":"DBTSS: database of transcription start sites, progress report 2008.","year":2007,"url":"http://doi.org/10.1093/nar/gkm901","authors":"Wakaguri H., Yamashita R., Suzuki Y., Sugano S., Nakai K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm901","created_at":"2021-09-30T08:22:25.762Z","updated_at":"2021-09-30T08:22:25.762Z"},{"id":1273,"pubmed_id":25378318,"title":"DBTSS as an integrative platform for transcriptome, epigenome and genome sequence variation data.","year":2014,"url":"http://doi.org/10.1093/nar/gku1080","authors":"Suzuki A,Wakaguri H,Yamashita R,Kawano S,Tsuchihara K,Sugano S,Suzuki Y,Nakai K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1080","created_at":"2021-09-30T08:24:42.156Z","updated_at":"2021-09-30T11:29:04.868Z"},{"id":1545,"pubmed_id":24069199,"title":"Identification and characterization of cancer mutations in Japanese lung adenocarcinoma without sequencing of normal tissue counterparts.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0073484","authors":"Suzuki A,Mimaki S,Yamane Y,Kawase A,Matsushima K,Suzuki M,Goto K,Sugano S,Esumi H,Suzuki Y,Tsuchihara K","journal":"PLoS One","doi":"10.1371/journal.pone.0073484","created_at":"2021-09-30T08:25:13.019Z","updated_at":"2021-09-30T08:25:13.019Z"},{"id":1546,"pubmed_id":16381981,"title":"DBTSS: DataBase of Human Transcription Start Sites, progress report 2006.","year":2005,"url":"http://doi.org/10.1093/nar/gkj129","authors":"Yamashita R., Suzuki Y., Wakaguri H., Tsuritani K., Nakai K., Sugano S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj129","created_at":"2021-09-30T08:25:13.178Z","updated_at":"2021-09-30T08:25:13.178Z"},{"id":1547,"pubmed_id":14681363,"title":"DBTSS, DataBase of Transcriptional Start Sites: progress report 2004.","year":2003,"url":"http://doi.org/10.1093/nar/gkh076","authors":"Suzuki Y., Yamashita R., Sugano S., Nakai K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh076","created_at":"2021-09-30T08:25:13.286Z","updated_at":"2021-09-30T08:25:13.286Z"},{"id":1548,"pubmed_id":11752328,"title":"DBTSS: DataBase of human Transcriptional Start Sites and full-length cDNAs.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.328","authors":"Suzuki Y., Yamashita R., Nakai K., Sugano S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.328","created_at":"2021-09-30T08:25:13.452Z","updated_at":"2021-09-30T08:25:13.452Z"}],"licence_links":[],"grants":[{"id":82,"fairsharing_record_id":1570,"organisation_id":1953,"relation":"maintains","created_at":"2021-09-30T09:24:17.898Z","updated_at":"2021-09-30T09:24:17.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":83,"fairsharing_record_id":1570,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:24:17.937Z","updated_at":"2021-09-30T09:24:17.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":81,"fairsharing_record_id":1570,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:17.862Z","updated_at":"2021-09-30T09:31:26.401Z","grant_id":1169,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","grant":"221S0002","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1571","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-04T13:36:26.344Z","metadata":{"doi":"10.25504/FAIRsharing.c1q6jd","name":"DistiLD Database: Diseases and Traits in Linkage Disequilibrium Blocks","status":"deprecated","contacts":[{"contact_name":"Support email","contact_email":"distild@jensenlab.org"}],"homepage":"http://distild.jensenlab.org","citations":[],"identifier":1571,"description":"The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context.","abbreviation":"DistiLD","data_curation":{"type":"manual"},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2022-09-30","deprecation_reason":"The resource is no longer available at the stated homepage, and no alternative project site can be found. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000026","bsg-d000026"],"name":"FAIRsharing record for: DistiLD Database: Diseases and Traits in Linkage Disequilibrium Blocks","abbreviation":"DistiLD","url":"https://fairsharing.org/10.25504/FAIRsharing.c1q6jd","doi":"10.25504/FAIRsharing.c1q6jd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Disease","Single nucleotide polymorphism","Gene","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":1238,"pubmed_id":22058129,"title":"DistiLD Database: diseases and traits in linkage disequilibrium blocks.","year":2011,"url":"http://doi.org/10.1093/nar/gkr899","authors":"Palleja A,Horn H,Eliasson S,Jensen LJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr899","created_at":"2021-09-30T08:24:38.122Z","updated_at":"2021-09-30T11:29:03.692Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":93,"relation":"undefined"}],"grants":[{"id":84,"fairsharing_record_id":1571,"organisation_id":767,"relation":"maintains","created_at":"2021-09-30T09:24:17.969Z","updated_at":"2021-09-30T09:24:17.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":767,"name":"Disease Systems Biology Group, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":85,"fairsharing_record_id":1571,"organisation_id":2196,"relation":"funds","created_at":"2021-09-30T09:24:18.051Z","updated_at":"2021-09-30T09:24:18.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1563","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:24:20.712Z","metadata":{"doi":"10.25504/FAIRsharing.y00hz4","name":"ConoServer","status":"ready","contacts":[{"contact_name":"David Craik","contact_email":"d.craik@imb.uq.edu.au","contact_orcid":"0000-0003-0007-6796"}],"homepage":"http://www.conoserver.org","citations":[{"doi":"10.1093/bioinformatics/btm596","pubmed_id":18065428,"publication_id":2372}],"identifier":1563,"description":"ConoServer is a database specializing in sequences and structures of peptides expressed by marine cone snails. The database gives access to protein sequences, nucleic acid sequences and structural information on conopeptides. ConoServer's data are first collected from the peer reviewed literature and from publicly available databases, including UniProtKB/Swiss-Prot, NCBI nucleotide (nt), and the World Wide Protein Data Bank. The data are then curated manually, which include the addition of references, the analysis of sequence regions, the identification of cysteine frameworks and gene superfamilies, and the identification of mature peptides in the precusor sequences.","abbreviation":"ConoServer","data_curation":{"url":"http://www.conoserver.org/?page=about_conoserver","type":"manual"},"support_links":[{"url":"http://www.conoserver.org/?page=classification","name":"Classification Schemes","type":"Help documentation"},{"url":"http://www.conoserver.org/?page=help","name":"Help Pages","type":"Help documentation"},{"url":"http://www.conoserver.org/?page=stats","name":"ConoServer Statistics","type":"Help documentation"},{"url":"http://www.conoserver.org/?page=about_conoserver","name":"About ConoServer","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ConoServer","name":"ConoServer (Wikipedia)","type":"Wikipedia"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://www.conoserver.org/?page=conoprec","name":"ConoPrec: analyse conopeptide prosequences"},{"url":"http://www.conoserver.org/?page=ptmdiffmass","name":"ConoMass (step 1): differential PTM mass computation"},{"url":"http://www.conoserver.org/?page=identifymasslist","name":"ConoMass (step 2): identify peptides in mass list"},{"url":"http://www.conoserver.org/?page=comparemasses","name":"Compare mass lists"},{"url":"http://www.conoserver.org/?page=uniquemasses","name":"Remove replicate masses in mass list"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000017","bsg-d000017"],"name":"FAIRsharing record for: ConoServer","abbreviation":"ConoServer","url":"https://fairsharing.org/10.25504/FAIRsharing.y00hz4","doi":"10.25504/FAIRsharing.y00hz4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ConoServer is a database specializing in sequences and structures of peptides expressed by marine cone snails. The database gives access to protein sequences, nucleic acid sequences and structural information on conopeptides. ConoServer's data are first collected from the peer reviewed literature and from publicly available databases, including UniProtKB/Swiss-Prot, NCBI nucleotide (nt), and the World Wide Protein Data Bank. The data are then curated manually, which include the addition of references, the analysis of sequence regions, the identification of cysteine frameworks and gene superfamilies, and the identification of mature peptides in the precusor sequences.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11246},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12573}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurophysiology","Statistics","Life Science","Synthetic Biology"],"domains":["Protein structure","Nucleic acid sequence","Peptide","Patent","Classification","Protein","Amino acid sequence","Sequence variant"],"taxonomies":["Conus"],"user_defined_tags":["Conopeptide activity","Conopeptide mass","Conotoxin","Cysteine framework classification","Gene superfamily classification","Pharmacological family classification","Protein precursor organization","Statistics on classification schemes"],"countries":["Australia"],"publications":[{"id":549,"pubmed_id":20211197,"title":"Conopeptide characterization and classifications: an analysis using ConoServer.","year":2010,"url":"http://doi.org/10.1016/j.toxicon.2010.03.002","authors":"Kaas Q., Westermann JC., Craik DJ.,","journal":"Toxicon","doi":"10.1016/j.toxicon.2010.03.002","created_at":"2021-09-30T08:23:19.893Z","updated_at":"2021-09-30T08:23:19.893Z"},{"id":560,"pubmed_id":14715910,"title":"Conus venoms: a rich source of novel ion channel-targeted peptides.","year":2004,"url":"http://doi.org/10.1152/physrev.00020.2003","authors":"Terlau H., Olivera BM.,","journal":"Physiol. Rev.","doi":"10.1152/physrev.00020.2003","created_at":"2021-09-30T08:23:21.193Z","updated_at":"2021-09-30T08:23:21.193Z"},{"id":561,"pubmed_id":17649970,"title":"Chemical modification of conotoxins to improve stability and activity.","year":2007,"url":"http://doi.org/10.1021/cb700091j","authors":"Craik DJ., Adams DJ.,","journal":"ACS Chem. Biol.","doi":"10.1021/cb700091j","created_at":"2021-09-30T08:23:21.301Z","updated_at":"2021-09-30T08:23:21.301Z"},{"id":2372,"pubmed_id":18065428,"title":"ConoServer, a database for conopeptide sequences and structures.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm596","authors":"Kaas Q., Westermann JC., Halai R., Wang CK., Craik DJ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm596","created_at":"2021-09-30T08:26:51.585Z","updated_at":"2021-09-30T08:26:51.585Z"}],"licence_links":[{"licence_name":"ConoServer Permission required for commercial use","licence_id":145,"licence_url":"http://www.conoserver.org/","link_id":1807,"relation":"undefined"}],"grants":[{"id":66,"fairsharing_record_id":1563,"organisation_id":1387,"relation":"maintains","created_at":"2021-09-30T09:24:17.385Z","updated_at":"2021-09-30T09:24:17.385Z","grant_id":null,"is_lead":true,"saved_state":{"id":1387,"name":"Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1564","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:17.154Z","metadata":{"doi":"10.25504/FAIRsharing.semw9e","name":"CoryneRegNet 6.0 - Corynebacterial Regulation Network","status":"ready","contacts":[{"contact_name":"Mariana Teixeira Dornelles Parise","contact_email":"mparise@wzw.tum.de","contact_orcid":"0000-0003-4101-1016"}],"homepage":"http://www.coryneregnet.de/","citations":[],"identifier":1564,"description":"Corynebacterial Regulation Network a reference database and analysis platform for corynebacterial transcription factors and gene regulatory networks.","abbreviation":"CoryneRegNet","data_curation":{"type":"manual"},"support_links":[{"url":"https://exbio.wzw.tum.de/coryneregnet/docs\u0026help.htm","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000018","bsg-d000018"],"name":"FAIRsharing record for: CoryneRegNet 6.0 - Corynebacterial Regulation Network","abbreviation":"CoryneRegNet","url":"https://fairsharing.org/10.25504/FAIRsharing.semw9e","doi":"10.25504/FAIRsharing.semw9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Corynebacterial Regulation Network a reference database and analysis platform for corynebacterial transcription factors and gene regulatory networks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Gene Ontology enrichment","Regulation of gene expression","Transcription factor","Gene"],"taxonomies":["Aurimucosum ATCC 700975","Corynebacterium efficiens","Corynebacterium glutamicum R","Corynebacterium jeikeium K411","Corynebacterium pseudotuberculosis 1002","Corynebacterium pseudotuberculosis C231","Corynebacterium pseudotuberculosis FRC41","Diphtheriae NCTC 13129","Escherichia coli K12","Glutamicum ATCC 13032","Kroppenstedtii DSM 44385","Urealyticum DSM 7109"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":25,"pubmed_id":19498379,"title":"Integrated analysis and reconstruction of microbial transcriptional gene regulatory networks using CoryneRegNet.","year":2009,"url":"http://doi.org/10.1038/nprot.2009.81","authors":"Baumbach J., Wittkop T., Kleindt CK., Tauch A.,","journal":"Nat Protoc","doi":"10.1038/nprot.2009.81","created_at":"2021-09-30T08:22:23.085Z","updated_at":"2021-09-30T08:22:23.085Z"},{"id":26,"pubmed_id":19074493,"title":"Towards the integrated analysis, visualization and reconstruction of microbial gene regulatory networks.","year":2008,"url":"http://doi.org/10.1093/bib/bbn055","authors":"Baumbach J., Tauch A., Rahmann S.,","journal":"Brief. Bioinformatics","doi":"10.1093/bib/bbn055","created_at":"2021-09-30T08:22:23.179Z","updated_at":"2021-09-30T08:22:23.179Z"},{"id":27,"pubmed_id":17229482,"title":"CoryneRegNet 3.0--an interactive systems biology platform for the analysis of gene regulatory networks in corynebacteria and Escherichia coli.","year":2007,"url":"http://doi.org/10.1016/j.jbiotec.2006.12.012","authors":"Baumbach J., Wittkop T., Rademacher K., Rahmann S., Brinkrolf K., Tauch A.,","journal":"J. Biotechnol.","doi":"10.1016/j.jbiotec.2006.12.012","created_at":"2021-09-30T08:22:23.279Z","updated_at":"2021-09-30T08:22:23.279Z"},{"id":28,"pubmed_id":17986320,"title":"CoryneRegNet 4.0 - A reference database for corynebacterial gene regulatory networks.","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-429","authors":"Baumbach J.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-429","created_at":"2021-09-30T08:22:23.371Z","updated_at":"2021-09-30T08:22:23.371Z"},{"id":1193,"pubmed_id":22080556,"title":"CoryneRegNet 6.0--Updated database content, new analysis methods and novel features focusing on community demands.","year":2011,"url":"http://doi.org/10.1093/nar/gkr883","authors":"Pauling J,Rottger R,Tauch A,Azevedo V,Baumbach J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr883","created_at":"2021-09-30T08:24:32.622Z","updated_at":"2021-09-30T11:29:02.568Z"},{"id":3336,"pubmed_id":32393779,"title":"CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks.","year":2020,"url":"https://doi.org/10.1038/s41597-020-0484-9","authors":"Parise MTD, Parise D, Kato RB, Pauling JK, Tauch A, Azevedo VAC, Baumbach J","journal":"Scientific data","doi":"10.1038/s41597-020-0484-9","created_at":"2022-04-28T14:29:23.335Z","updated_at":"2022-04-28T14:29:23.335Z"}],"licence_links":[],"grants":[{"id":69,"fairsharing_record_id":1564,"organisation_id":1786,"relation":"maintains","created_at":"2021-09-30T09:24:17.459Z","updated_at":"2021-09-30T09:24:17.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":1786,"name":"Max Planck Institute for Informatics, Sarrebruck, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":68,"fairsharing_record_id":1564,"organisation_id":213,"relation":"maintains","created_at":"2021-09-30T09:24:17.433Z","updated_at":"2021-09-30T09:24:17.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":213,"name":"Bielefeld University, Bielefeld, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":70,"fairsharing_record_id":1564,"organisation_id":173,"relation":"maintains","created_at":"2021-09-30T09:24:17.485Z","updated_at":"2021-09-30T09:24:17.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":173,"name":"Baumbach lab, University of Southern Denmark, Denmark","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":71,"fairsharing_record_id":1564,"organisation_id":1481,"relation":"maintains","created_at":"2021-09-30T09:24:17.509Z","updated_at":"2021-09-30T09:24:17.509Z","grant_id":null,"is_lead":false,"saved_state":{"id":1481,"name":"International Computer Science Institute (ICSI), Berkeley, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1565","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:54:50.804Z","metadata":{"doi":"10.25504/FAIRsharing.f1m3bb","name":"Dragon Antimicrobial Peptide Database","status":"deprecated","contacts":[{"contact_name":"Vlad Bajic","contact_email":"vlad@sanbi.ac.za"}],"homepage":"http://apps.sanbi.ac.za/dampd/","identifier":1565,"description":"Dragon Antimicrobial Peptide Database is a manually curated database of known and putative antimicrobial peptides (AMPs). It covers both prokaryotes and eukaryotes organisms.","abbreviation":"DAMPD","data_curation":{"type":"not found"},"support_links":[{"url":"http://apps.sanbi.ac.za/dampd/Faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://apps.sanbi.ac.za/dampd/Help.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"SVM Prediction"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"SignalP"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"Hydrocalculator"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"HMMER"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"ClustalW"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"Blast"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000019","bsg-d000019"],"name":"FAIRsharing record for: Dragon Antimicrobial Peptide Database","abbreviation":"DAMPD","url":"https://fairsharing.org/10.25504/FAIRsharing.f1m3bb","doi":"10.25504/FAIRsharing.f1m3bb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dragon Antimicrobial Peptide Database is a manually curated database of known and putative antimicrobial peptides (AMPs). It covers both prokaryotes and eukaryotes organisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Antimicrobial","Curated information"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":45,"pubmed_id":14681487,"title":"ANTIMIC: a database of antimicrobial sequences.","year":2003,"url":"http://doi.org/10.1093/nar/gkh032","authors":"Brahmachary M., Krishnan SP., Koh JL., Khan AM., Seah SH., Tan TW., Brusic V., Bajic VB.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh032","created_at":"2021-09-30T08:22:25.238Z","updated_at":"2021-09-30T08:22:25.238Z"},{"id":1377,"pubmed_id":17254313,"title":"Computational promoter analysis of mouse, rat and human antimicrobial peptide-coding genes.","year":2007,"url":"http://doi.org/10.1186/1471-2105-7-S5-S8","authors":"Brahmachary M., Schönbach C., Yang L., Huang E., Tan SL., Chowdhary R., Krishnan SP., Lin CY., Hume DA., Kai C., Kawai J., Carninci P., Hayashizaki Y., Bajic VB.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-S5-S8","created_at":"2021-09-30T08:24:54.009Z","updated_at":"2021-09-30T08:24:54.009Z"}],"licence_links":[],"grants":[{"id":72,"fairsharing_record_id":1565,"organisation_id":1384,"relation":"maintains","created_at":"2021-09-30T09:24:17.538Z","updated_at":"2021-09-30T09:24:17.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1384,"name":"Institute for Infocomm Research (I2R), Singapore, Singapore","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1549","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:44:04.682Z","metadata":{"doi":"10.25504/FAIRsharing.m867wn","name":"ADHDgene","status":"deprecated","contacts":[{"contact_name":"Jing Wang","contact_email":"wangjing@psych.ac.cn"}],"homepage":"http://adhd.psych.ac.cn/","citations":[],"identifier":1549,"description":"A genetic database for attention deficit hyperactivity disorder. ADHDgene aims to provide research community with a central genetic resource and analysis platform for ADHD, to help unveil the genetic basis of ADHD and to contribute to global mental health.","abbreviation":"ADHDgene","data_curation":{"type":"manual"},"support_links":[{"url":"http://adhd.psych.ac.cn/tutorial.do","type":"Training documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2022-04-29","deprecation_reason":"This resource's homepage is no longer available, and a new homepage cannot be found. Please get in touch if you have any information regarding the current status of this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000003","bsg-d000003"],"name":"FAIRsharing record for: ADHDgene","abbreviation":"ADHDgene","url":"https://fairsharing.org/10.25504/FAIRsharing.m867wn","doi":"10.25504/FAIRsharing.m867wn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A genetic database for attention deficit hyperactivity disorder. ADHDgene aims to provide research community with a central genetic resource and analysis platform for ADHD, to help unveil the genetic basis of ADHD and to contribute to global mental health.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Biomedical Science"],"domains":["Citation","Chromosomal region","Single nucleotide polymorphism","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1500,"pubmed_id":22080511,"title":"ADHDgene: a genetic database for attention deficit hyperactivity disorder.","year":2011,"url":"http://doi.org/10.1093/nar/gkr992","authors":"Zhang L,Chang S,Li Z,Zhang K,Du Y,Ott J,Wang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr992","created_at":"2021-09-30T08:25:07.966Z","updated_at":"2021-09-30T11:29:11.276Z"}],"licence_links":[],"grants":[{"id":5,"fairsharing_record_id":1549,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:15.096Z","updated_at":"2021-09-30T09:31:24.793Z","grant_id":1158,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KSCX2-EW-J-8","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7,"fairsharing_record_id":1549,"organisation_id":245,"relation":"maintains","created_at":"2021-09-30T09:24:15.195Z","updated_at":"2021-09-30T09:24:15.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":245,"name":"Bioinformatics Laboratory, Institute of Psychology, Chinese Academy of Sciences (CAS), Beijing, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6,"fairsharing_record_id":1549,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:15.133Z","updated_at":"2021-09-30T09:29:32.578Z","grant_id":292,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81101545","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1550","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:01:47.414Z","metadata":{"doi":"10.25504/FAIRsharing.y2yct1","name":"Allele frequency resource for research and teaching","status":"deprecated","contacts":[{"contact_name":"Kenneth K. Kidd","contact_email":"kidd@biomed.med.yale.edu"}],"homepage":"https://alfred.med.yale.edu/","citations":[],"identifier":1550,"description":"ALFRED is designed to make allele frequency data on human population samples readily available for use by the scientific and educational communities.","abbreviation":"ALFRED","data_curation":{"url":"https://alfred.med.yale.edu/alfred/AboutALFRED.asp#criteria","type":"manual/automated","notes":"ALFRED is free, web-accessible and actively curated"},"support_links":[{"url":"https://alfred.med.yale.edu/alfred/feedback.asp","type":"Contact form"},{"url":"alfred@yale.edu","type":"Support email"},{"url":"https://alfred.med.yale.edu/alfred/alfredFaq.asp","type":"Frequently Asked Questions (FAQs)"},{"url":"https://alfred.med.yale.edu/alfred/ALFREDtour-overview.asp","type":"Help documentation"},{"url":"http://alfred.med.yale.edu/alfred/AboutALFRED.asp","type":"Help documentation"}],"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012700","name":"re3data:r3d100012700","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001730","name":"SciCrunch:RRID:SCR_001730","portal":"SciCrunch"}],"deprecation_date":"2024-06-13","deprecation_reason":"Homepage message: We are happy to inform our users that the ALFRED web interface will continue from the same URL after March of 2019. Since the funding that supported ongoing data curation and new data addition and expansion has ended, we will no longer be able to support those functions. Ongoing support for the web-interface and the back-end database will be provided by Biomedical Informatics and Data Science (BIDS), Yale University\nALFRED is going through a software and server upgrade. Check back here for announcements.","data_access_condition":{"url":"https://alfred.med.yale.edu/alfred/alfredFaq.asp","type":"open","notes":"ALFRED is free, web-accessible and actively curated"},"resource_sustainability":{"url":"https://alfred.med.yale.edu/alfred/index.asp","name":"More information"},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://alfred.med.yale.edu/alfred/AboutALFRED.asp#criteria","type":"controlled","notes":"Only data on well defined population samples that are large enough to yield reasonably accurate frequencies and for polymorphisms sufficiently defined to be replicable can be included in ALFRED."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000004","bsg-d000004"],"name":"FAIRsharing record for: Allele frequency resource for research and teaching","abbreviation":"ALFRED","url":"https://fairsharing.org/10.25504/FAIRsharing.y2yct1","doi":"10.25504/FAIRsharing.y2yct1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ALFRED is designed to make allele frequency data on human population samples readily available for use by the scientific and educational communities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic polymorphism","Allele","Allele frequency"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":37,"pubmed_id":10592274,"title":"ALFRED: an allele frequency database for diverse populations and DNA polymorphisms.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.361","authors":"Cheung KH., Osier MV., Kidd JR., Pakstis AJ., Miller PL., Kidd KK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.361","created_at":"2021-09-30T08:22:24.354Z","updated_at":"2021-09-30T08:22:24.354Z"},{"id":38,"pubmed_id":12519999,"title":"ALFRED: the ALelle FREquency Database. Update.","year":2003,"url":"http://doi.org/10.1093/nar/gkg043","authors":"Rajeevan H., Osier MV., Cheung KH., Deng H., Druskin L., Heinzen R., Kidd JR., Stein S., Pakstis AJ., Tosches NP., Yeh CC., Miller PL., Kidd KK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg043","created_at":"2021-09-30T08:22:24.446Z","updated_at":"2021-09-30T08:22:24.446Z"},{"id":1554,"pubmed_id":22039151,"title":"ALFRED: an allele frequency resource for research and teaching.","year":2011,"url":"http://doi.org/10.1093/nar/gkr924","authors":"Rajeevan H,Soundararajan U,Kidd JR,Pakstis AJ,Kidd KK","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr924","created_at":"2021-09-30T08:25:14.291Z","updated_at":"2021-09-30T11:29:13.601Z"}],"licence_links":[{"licence_name":"Yale Medical School Copyright","licence_id":878,"licence_url":"http://alfred.med.yale.edu/alfred/fullcopyrightpage.asp","link_id":615,"relation":"undefined"}],"grants":[{"id":12,"fairsharing_record_id":1550,"organisation_id":3266,"relation":"maintains","created_at":"2021-09-30T09:24:15.364Z","updated_at":"2021-09-30T09:24:15.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":3266,"name":"Yale School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":14,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:15.437Z","updated_at":"2021-09-30T09:29:11.035Z","grant_id":129,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"AA09379","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7941,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:29:57.991Z","updated_at":"2021-09-30T09:29:58.038Z","grant_id":490,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"GM57672","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8073,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:30:46.212Z","updated_at":"2021-09-30T09:30:46.263Z","grant_id":861,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"LM05583","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9,"fairsharing_record_id":1550,"organisation_id":3174,"relation":"funds","created_at":"2021-09-30T09:24:15.275Z","updated_at":"2021-09-30T09:30:46.798Z","grant_id":866,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"T15LM07056","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8211,"fairsharing_record_id":1550,"organisation_id":3174,"relation":"funds","created_at":"2021-09-30T09:31:34.122Z","updated_at":"2021-09-30T09:31:34.174Z","grant_id":1229,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"P01GM57672","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8281,"fairsharing_record_id":1550,"organisation_id":3174,"relation":"funds","created_at":"2021-09-30T09:31:54.023Z","updated_at":"2021-09-30T09:31:54.066Z","grant_id":1378,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"R01AA09379","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8,"fairsharing_record_id":1550,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:15.237Z","updated_at":"2021-09-30T09:24:15.237Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10,"fairsharing_record_id":1550,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:24:15.311Z","updated_at":"2021-09-30T09:24:15.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":13,"fairsharing_record_id":1550,"organisation_id":3265,"relation":"maintains","created_at":"2021-09-30T09:24:15.395Z","updated_at":"2021-09-30T09:24:15.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":3265,"name":"Yale Center for Medical Informatics (YCMI), Yale University School of Medicine, New Haven, CT, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11,"fairsharing_record_id":1550,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:15.340Z","updated_at":"2021-09-30T09:31:53.580Z","grant_id":1374,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BCS0096588","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8349,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:13.767Z","updated_at":"2021-09-30T09:32:13.823Z","grant_id":1526,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"T15 LM07056","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8424,"fairsharing_record_id":1550,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:34.518Z","updated_at":"2021-09-30T09:32:34.564Z","grant_id":1681,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"SBR9632509","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8454,"fairsharing_record_id":1550,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:42.969Z","updated_at":"2021-09-30T09:32:43.024Z","grant_id":1746,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BCS0938633","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1551","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-04T09:22:03.147Z","metadata":{"doi":"10.25504/FAIRsharing.e65js","name":"Animal Transcription Factor Database","status":"ready","contacts":[{"contact_name":"An-Yuan Guo","contact_email":"guoay@hust.edu.cn","contact_orcid":"0000-0002-5099-7465"}],"homepage":"https://guolab.wchscu.cn/AnimalTFDB4//#/","citations":[],"identifier":1551,"description":"AnimalTFDB is a comprehensive animal transcription factor database. The resource is classification of transcription factors from 50 genomes from species including Homo sapiens and Caenorhabditis elegans. The database also has information on co-transcription factors and chromatin remodelling factors.","abbreviation":"AnimalTFDB","data_curation":{"url":"https://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"manual","notes":"Curation guide"},"support_links":[{"url":"https://guolab.wchscu.cn/AnimalTFDB4_Document/","name":"Document","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000005","bsg-d000005"],"name":"FAIRsharing record for: Animal Transcription Factor Database","abbreviation":"AnimalTFDB","url":"https://fairsharing.org/10.25504/FAIRsharing.e65js","doi":"10.25504/FAIRsharing.e65js","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AnimalTFDB is a comprehensive animal transcription factor database. The resource is classification of transcription factors from 50 genomes from species including Homo sapiens and Caenorhabditis elegans. The database also has information on co-transcription factors and chromatin remodelling factors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Gene Ontology enrichment","Annotation","Protein interaction","Molecular interaction","Binding motif","Gene feature","Transcription factor","Micro RNA","Gene","Orthologous","Paralogous"],"taxonomies":["Anas platyrhynchos","Anolis carolinensis","Astyanax mexicanus","Caenorhabditis elegans","Choloepus hoffmanni","Ciona intestinalis","Ciona savignyi","Danio rerio","Dasypus novemcinctus","Drosophila melanogaster","Echinops telfairi","Ficedula albicollis","Gadus morhua","Gallus gallus","Gasterosteus aculeatus","Latimeria chalumnae","Laurasiatheria","Lepisosteus oculatus","Loxodonta africana","Meleagris gallopavo","Monodelphis domestica","Notamacropus eugenii","Oreochromis niloticus","Ornithorhynchus anatinus","Oryzias latipes","Pelodiscus sinensis","Petromyzon marinus","Poecilia formosa","Primate","Procavia capensis","Rodentia","Sarcophilus harrisii","Taeniopygia guttata","Takifugu rubripes","Tetraodon nigroviridis","Xenopus tropicalis","Xiphophorus maculatus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":57,"pubmed_id":25262351,"title":"AnimalTFDB 2.0: a resource for expression, prediction and functional study of animal transcription factors.","year":2014,"url":"http://doi.org/10.1093/nar/gku887","authors":"Zhang HM,Liu T,Liu CJ,Song S,Zhang X,Liu W,Jia H,Xue Y,Guo AY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku887","created_at":"2021-09-30T08:22:26.495Z","updated_at":"2021-09-30T11:28:41.850Z"},{"id":58,"pubmed_id":22080564,"title":"AnimalTFDB: a comprehensive animal transcription factor database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr965","authors":"Zhang HM,Chen H,Liu W,Liu H,Gong J,Wang H,Guo AY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr965","created_at":"2021-09-30T08:22:26.586Z","updated_at":"2021-09-30T11:28:41.941Z"},{"id":100,"pubmed_id":30204897,"title":"AnimalTFDB 3.0: a comprehensive resource for annotation and prediction of animal transcription factors.","year":2018,"url":"http://doi.org/10.1093/nar/gky822","authors":"Hu H,Miao YR,Jia LH,Yu QY,Zhang Q,Guo AY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky822","created_at":"2021-09-30T08:22:31.211Z","updated_at":"2021-09-30T11:28:42.533Z"},{"id":4280,"pubmed_id":36268869,"title":"AnimalTFDB 4.0: a comprehensive animal transcription factor database updated with variation and expression annotations","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac907","authors":"Shen, Wen-Kang; Chen, Si-Yi; Gan, Zi-Quan; Zhang, Yu-Zhu; Yue, Tao; Chen, Miao-Miao; Xue, Yu; Hu, Hui; Guo, An-Yuan; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac907","created_at":"2024-05-22T13:05:31.421Z","updated_at":"2024-05-22T13:05:31.421Z"}],"licence_links":[{"licence_name":"AnimalTFDB Terms Of Use","licence_id":929,"licence_url":"http://bioinfo.life.hust.edu.cn/AnimalTFDB/#!/TermsOfUse","link_id":2663,"relation":"applies_to_content"}],"grants":[{"id":17,"fairsharing_record_id":1551,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:15.554Z","updated_at":"2021-09-30T09:24:15.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":15,"fairsharing_record_id":1551,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:15.479Z","updated_at":"2021-09-30T09:31:50.486Z","grant_id":1351,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFA0700403","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8487,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:51.927Z","updated_at":"2021-09-30T09:32:51.979Z","grant_id":1811,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31171271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":18,"fairsharing_record_id":1551,"organisation_id":1272,"relation":"maintains","created_at":"2021-09-30T09:24:15.592Z","updated_at":"2021-09-30T09:24:15.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1272,"name":"Huazhong University of Science and Technology, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":16,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:15.517Z","updated_at":"2021-09-30T09:29:04.343Z","grant_id":80,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31822030","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7900,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:29:34.950Z","updated_at":"2021-09-30T09:29:35.001Z","grant_id":311,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31801154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8059,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:41.780Z","updated_at":"2021-09-30T09:30:41.837Z","grant_id":826,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31801113","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8339,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:09.950Z","updated_at":"2021-09-30T09:32:10.004Z","grant_id":1497,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31771458","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1552","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:45:32.101Z","metadata":{"doi":"10.25504/FAIRsharing.s8vrb1","name":"Apo and Holo structures DataBase","status":"deprecated","contacts":[{"contact_name":"Darby Tien-Hao Chang","contact_email":"darby@mail.ncku.edu.tw"}],"homepage":"http://ahdb.ee.ncku.edu.tw/","identifier":1552,"description":"AH-DB (Apo and Holo structures DataBase) collects the apo and holo structure pairs of proteins. Proteins are frequently associated with other molecules to perform their functions. Experimental structures determined in the bound state are named holo structures; while structures determined in the unbound state are named apo structures.","abbreviation":"AH-DB","data_curation":{"type":"not found"},"support_links":[{"url":"http://ahdb.ee.ncku.edu.tw/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000006","bsg-d000006"],"name":"FAIRsharing record for: Apo and Holo structures DataBase","abbreviation":"AH-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.s8vrb1","doi":"10.25504/FAIRsharing.s8vrb1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AH-DB (Apo and Holo structures DataBase) collects the apo and holo structure pairs of proteins. Proteins are frequently associated with other molecules to perform their functions. Experimental structures determined in the bound state are named holo structures; while structures determined in the unbound state are named apo structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Structure alignment (pair)","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":805,"pubmed_id":22084200,"title":"AH-DB: collecting protein structure pairs before and after binding.","year":2011,"url":"http://doi.org/10.1093/nar/gkr940","authors":"Chang DT,Yao TJ,Fan CY,Chiang CY,Bai YH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr940","created_at":"2021-09-30T08:23:48.786Z","updated_at":"2021-09-30T11:28:51.683Z"}],"licence_links":[],"grants":[{"id":20,"fairsharing_record_id":1552,"organisation_id":1873,"relation":"funds","created_at":"2021-09-30T09:24:15.667Z","updated_at":"2021-09-30T09:30:50.499Z","grant_id":896,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 99-2628-E-006-017","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1572","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:26.823Z","metadata":{"doi":"10.25504/FAIRsharing.k337f0","name":"DNA Data Bank of Japan","status":"ready","contacts":[{"contact_name":"Osamu Ogasawara","contact_email":"oogasawa@nig.ac.jp"}],"homepage":"https://www.ddbj.nig.ac.jp/ddbj","citations":[],"identifier":1572,"description":"An annotated collection of all publicly available nucleotide and protein sequences. DDBJ collects sequence data mainly from Japanese researchers, as well as researchers in other countries. DDBJ is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","abbreviation":"DDBJ","data_curation":{"url":"https://www.ddbj.nig.ac.jp/ddbj/submission-e.html#annotation","type":"manual/automated"},"support_links":[{"url":"https://www.facebook.com/ddbjcenter/","name":"DDBJ Facebook","type":"Facebook"},{"url":"https://www.ddbj.nig.ac.jp/news/en/index-e.html?db=ddbj","name":"News","type":"Blog/News"},{"url":"https://www.ddbj.nig.ac.jp/contact-e.html","name":"DDBJ Contact Form","type":"Contact form"},{"url":"ddbj@ddbj.nig.ac.jp","name":"DDBJ General Contact","type":"Support email"},{"url":"https://www.ddbj.nig.ac.jp/faq/en/index-e.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/ddbj/","name":"DDBJ GitHub","type":"Github"},{"url":"https://drive.google.com/drive/u/0/folders/1E0cxLbWV8RGYUdNs0oKfXMij0TzJDQVD","name":"DDBJ Google Drive","type":"Help documentation"},{"url":"https://www.youtube.com/user/ddbjvideo","name":"DDBJ YouTube Channel","type":"Video"},{"url":"https://www.ddbj.nig.ac.jp/announcements-e.html","name":"DDBJ RSS Feed","type":"Blog/News"},{"url":"https://twitter.com/DDBJ_topics","name":"@DDBJ_topics","type":"Twitter"}],"year_creation":1987,"data_versioning":"yes","associated_tools":[{"url":"http://ddbj.nig.ac.jp/vecscreen/","name":"VecScreen"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010218","name":"re3data:r3d100010218","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002359","name":"SciCrunch:RRID:SCR_002359","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ddbj.nig.ac.jp/ddbj/submission-e.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000027","bsg-d000027"],"name":"FAIRsharing record for: DNA Data Bank of Japan","abbreviation":"DDBJ","url":"https://fairsharing.org/10.25504/FAIRsharing.k337f0","doi":"10.25504/FAIRsharing.k337f0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An annotated collection of all publicly available nucleotide and protein sequences. DDBJ collects sequence data mainly from Japanese researchers, as well as researchers in other countries. DDBJ is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17568},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10928},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12575},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16207}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Metagenomics","Genomics","Bioinformatics","Data Management","Transcriptomics"],"domains":["DNA sequence data","Annotation","Sequence annotation","Deoxyribonucleic acid","Nucleotide","Sequencing","Amino acid sequence","Genome","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":655,"pubmed_id":30357349,"title":"DDBJ update: the Genomic Expression Archive (GEA) for functional genomics data.","year":2018,"url":"http://doi.org/10.1093/nar/gky1002","authors":"Kodama Y,Mashima J,Kosuge T,Ogasawara O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1002","created_at":"2021-09-30T08:23:32.284Z","updated_at":"2021-09-30T11:28:48.717Z"},{"id":2097,"pubmed_id":29040613,"title":"DNA Data Bank of Japan: 30th anniversary.","year":2017,"url":"http://doi.org/10.1093/nar/gkx926","authors":"Kodama Y,Mashima J,Kosuge T,Kaminuma E,Ogasawara O,Okubo K,Nakamura Y,Takagi T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx926","created_at":"2021-09-30T08:26:16.313Z","updated_at":"2021-09-30T11:29:29.128Z"}],"licence_links":[{"licence_name":"DDBJ Policies and Disclaimers","licence_id":230,"licence_url":"https://www.ddbj.nig.ac.jp/policies-e.html","link_id":2312,"relation":"undefined"}],"grants":[{"id":86,"fairsharing_record_id":1572,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:18.108Z","updated_at":"2021-09-30T09:24:18.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":87,"fairsharing_record_id":1572,"organisation_id":252,"relation":"maintains","created_at":"2021-09-30T09:24:18.145Z","updated_at":"2021-09-30T09:24:18.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":252,"name":"Bioinformation and DDBJ Center","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":88,"fairsharing_record_id":1572,"organisation_id":2432,"relation":"funds","created_at":"2021-09-30T09:24:18.177Z","updated_at":"2021-09-30T09:24:18.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":2432,"name":"Research Organization of Information and Systems (ROIS), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":89,"fairsharing_record_id":1572,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:24:18.200Z","updated_at":"2021-09-30T09:32:17.787Z","grant_id":1553,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","grant":"JPMJCR1501","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1573","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:10:27.530Z","metadata":{"doi":"10.25504/FAIRsharing.rq71dw","name":"DNAtraffic","status":"deprecated","contacts":[{"contact_name":"Joanna Krwawicz","contact_email":"joanna.krwawicz@gmail.com"}],"homepage":"http://dnatraffic.ibb.waw.pl/","identifier":1573,"description":"A database for systems biology of DNA dynamics during the cell life.","abbreviation":"DNAtraffic","data_curation":{"type":"not found"},"support_links":[{"url":"http://dnatraffic.ibb.waw.pl/classification/faq/","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000028","bsg-d000028"],"name":"FAIRsharing record for: DNAtraffic","abbreviation":"DNAtraffic","url":"https://fairsharing.org/10.25504/FAIRsharing.rq71dw","doi":"10.25504/FAIRsharing.rq71dw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database for systems biology of DNA dynamics during the cell life.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Citation","Protein name","Drug structure","Drug name","Nucleic acid sequence","Protein image","Function analysis","Network model","Molecular function","Image","DNA damage","Cross linking","Disease","Pathway model","Amino acid sequence","Orthologous","Target"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Drosophila melanogaster","Escherichia coli","Homo sapiens","Mus musculus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":["Drug target in DNA network"],"countries":["Poland"],"publications":[{"id":1878,"pubmed_id":22110027,"title":"DNAtraffic--a new database for systems biology of DNA dynamics during the cell life.","year":2011,"url":"http://doi.org/10.1093/nar/gkr962","authors":"Kuchta K,Barszcz D,Grzesiuk E,Pomorski P,Krwawicz J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr962","created_at":"2021-09-30T08:25:51.246Z","updated_at":"2021-09-30T11:29:21.761Z"}],"licence_links":[],"grants":[{"id":92,"fairsharing_record_id":1573,"organisation_id":1400,"relation":"maintains","created_at":"2021-09-30T09:24:18.276Z","updated_at":"2021-09-30T09:24:18.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":1400,"name":"Institute of Biochemistry and Biophysics Polish Academy of Sciences, Warszawa, Poland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":90,"fairsharing_record_id":1573,"organisation_id":2820,"relation":"funds","created_at":"2021-09-30T09:24:18.225Z","updated_at":"2021-09-30T09:30:26.790Z","grant_id":714,"is_lead":false,"saved_state":{"id":2820,"name":"The Polish Ministry of Science and Higher Education","grant":"N N301 165835","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":91,"fairsharing_record_id":1573,"organisation_id":2186,"relation":"funds","created_at":"2021-09-30T09:24:18.251Z","updated_at":"2021-09-30T09:28:54.373Z","grant_id":9,"is_lead":false,"saved_state":{"id":2186,"name":"Norwegian Financial Mechanism, Norway","grant":"PNRF-143-AI-1/07","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1574","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:02.142Z","metadata":{"doi":"10.25504/FAIRsharing.z0ea6a","name":"doRiNA","status":"ready","contacts":[{"contact_name":"Altuna Akalin","contact_email":"altuna.akalin@mdc-berlin.de"}],"homepage":"http://dorina.mdc-berlin.de","citations":[],"identifier":1574,"description":"Database of RNA interactions in post-transcriptional regulation.","abbreviation":"doRiNA","data_curation":{"type":"automated"},"support_links":[{"url":"http://dorina.mdc-berlin.de/docs","type":"Help documentation"},{"url":"http://dorina.mdc-berlin.de/tutorials","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/DoRiNA","type":"Wikipedia"},{"url":"https://www.surveymonkey.de/r/denbi-service?sc=rbc\u0026tool=dorina","name":"Participate in DoRINA survey","type":"Other"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011087","name":"re3data:r3d100011087","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013222","name":"SciCrunch:RRID:SCR_013222","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000029","bsg-d000029"],"name":"FAIRsharing record for: doRiNA","abbreviation":"doRiNA","url":"https://fairsharing.org/10.25504/FAIRsharing.z0ea6a","doi":"10.25504/FAIRsharing.z0ea6a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of RNA interactions in post-transcriptional regulation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene expression","Exon","Micro RNA","Micro RNA (miRNA) target site"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus"],"user_defined_tags":["RNA-binding protein target sites"],"countries":["Germany"],"publications":[{"id":1868,"pubmed_id":20371350,"title":"Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.","year":2010,"url":"http://doi.org/10.1016/j.cell.2010.03.009","authors":"Hafner M., Landthaler M., Burger L., Khorshid M., Hausser J., Berninger P., Rothballer A., Ascano M., Jungkamp AC., Munschauer M., Ulrich A., Wardle GS., Dewell S., Zavolan M., Tuschl T.,","journal":"Cell","doi":"10.1016/j.cell.2010.03.009","created_at":"2021-09-30T08:25:50.061Z","updated_at":"2021-09-30T08:25:50.061Z"},{"id":1869,"pubmed_id":16458514,"title":"A genome-wide map of conserved microRNA targets in C. elegans.","year":2006,"url":"http://doi.org/10.1016/j.cub.2006.01.050","authors":"Lall S., Grün D., Krek A., Chen K., Wang YL., Dewey CN., Sood P., Colombo T., Bray N., Macmenamin P., Kao HL., Gunsalus KC., Pachter L., Piano F., Rajewsky N.,","journal":"Curr. Biol.","doi":"10.1016/j.cub.2006.01.050","created_at":"2021-09-30T08:25:50.182Z","updated_at":"2021-09-30T08:25:50.182Z"},{"id":1870,"pubmed_id":25416797,"title":"DoRiNA 2.0--upgrading the doRiNA database of RNA interactions in post-transcriptional regulation.","year":2014,"url":"http://doi.org/10.1093/nar/gku1180","authors":"Blin K,Dieterich C,Wurmus R,Rajewsky N,Landthaler M,Akalin A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1180","created_at":"2021-09-30T08:25:50.288Z","updated_at":"2021-09-30T11:29:21.663Z"}],"licence_links":[],"grants":[{"id":96,"fairsharing_record_id":1574,"organisation_id":1783,"relation":"maintains","created_at":"2021-09-30T09:24:18.376Z","updated_at":"2021-09-30T09:24:18.376Z","grant_id":null,"is_lead":false,"saved_state":{"id":1783,"name":"Max Planck Institute for Biology of Ageing, Cologne, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":93,"fairsharing_record_id":1574,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:18.301Z","updated_at":"2021-09-30T09:24:18.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":94,"fairsharing_record_id":1574,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:24:18.326Z","updated_at":"2021-09-30T09:24:18.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":95,"fairsharing_record_id":1574,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:18.351Z","updated_at":"2021-09-30T09:24:18.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":97,"fairsharing_record_id":1574,"organisation_id":1778,"relation":"maintains","created_at":"2021-09-30T09:24:18.402Z","updated_at":"2021-09-30T09:24:18.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":1778,"name":"Max Delbrueck Center for Molecular Medicine (MDC), Berlin, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1554","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-03T17:19:15.368Z","metadata":{"doi":"10.25504/FAIRsharing.ewjdq6","name":"BioSamples","status":"ready","contacts":[{"contact_name":"Support email","contact_email":"biosamples@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biosamples/","citations":[{"doi":"10.1093/nar/gkab1046","pubmed_id":0,"publication_id":3215}],"identifier":1554,"description":"BioSamples, previously BioSample Database (BioSD), at the European Bioinformatics Institute stores and supplies descriptions and metadata about biological samples used in research and development by academia and industry. Samples are either 'reference' samples (e.g. from 1000 Genomes, HipSci, FAANG) or have been used in an assay database such as the European Nucleotide Archive (ENA) or ArrayExpress. It provides links to assays and specific samples, and accepts direct submissions of sample information.","abbreviation":"BioSD","data_curation":{"url":"https://www.ebi.ac.uk/biosamples/docs/guides/curation","type":"manual/automated","notes":"BioSamples performs automatic curation and supports manual curation to improve sample data findability."},"support_links":[{"url":"https://www.ebi.ac.uk/biosamples/docs/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/biosamples/docs","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/EBIBioSamples/biosamples-v4","name":"GitHub Project","type":"Github"},{"url":"https://www.ebi.ac.uk/biosamples/about","name":"About","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/biosamples","name":"BioSamples: Quick tour","type":"TeSS links to training materials"},{"url":"https://en.wikipedia.org/wiki/BioSD","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012628","name":"re3data:r3d100012628","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004856","name":"SciCrunch:RRID:SCR_004856","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/biosamples/submit","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000008","bsg-d000008"],"name":"FAIRsharing record for: BioSamples","abbreviation":"BioSD","url":"https://fairsharing.org/10.25504/FAIRsharing.ewjdq6","doi":"10.25504/FAIRsharing.ewjdq6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioSamples, previously BioSample Database (BioSD), at the European Bioinformatics Institute stores and supplies descriptions and metadata about biological samples used in research and development by academia and industry. Samples are either 'reference' samples (e.g. from 1000 Genomes, HipSci, FAANG) or have been used in an assay database such as the European Nucleotide Archive (ENA) or ArrayExpress. It provides links to assays and specific samples, and accepts direct submissions of sample information.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17059},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17080},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11317},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11828},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19499}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biology"],"domains":["Biological sample annotation","Biological sample","Assay","Protocol","Phenotype","Disease","Genotype"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":821,"pubmed_id":24265224,"title":"Updates to BioSamples database at European Bioinformatics Institute.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1081","authors":"Faulconbridge A,Burdett T,Brandizi M,Gostev M,Pereira R,Vasant D,Sarkans U,Brazma A,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1081","created_at":"2021-09-30T08:23:50.519Z","updated_at":"2021-09-30T11:28:53.084Z"},{"id":1265,"pubmed_id":22096232,"title":"The BioSample Database (BioSD) at the European Bioinformatics Institute.","year":2011,"url":"http://doi.org/10.1093/nar/gkr937","authors":"Gostev M,Faulconbridge A,Brandizi M,Fernandez-Banet J,Sarkans U,Brazma A,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr937","created_at":"2021-09-30T08:24:41.123Z","updated_at":"2021-09-30T11:29:04.535Z"},{"id":2764,"pubmed_id":30407529,"title":"BioSamples database: an updated sample metadata hub.","year":2018,"url":"http://doi.org/10.1093/nar/gky1061","authors":"Courtot M,Cherubin L,Faulconbridge A,Vaughan D,Green M,Richardson D,Harrison P,Whetzel PL,Parkinson H,Burdett T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1061","created_at":"2021-09-30T08:27:39.720Z","updated_at":"2021-09-30T11:29:43.220Z"},{"id":3215,"pubmed_id":0,"title":"BioSamples database: FAIRer samples metadata to accelerate research data management","year":2022,"url":"https://academic.oup.com/nar/article/50/D1/D1500/6423179","authors":"Mélanie Courtot, Dipayan Gupta, Isuru Liyanage, Fuqi Xu, Tony Burdett","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1046","created_at":"2022-02-08T12:16:26.427Z","updated_at":"2022-02-08T12:16:26.427Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2063,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2059,"relation":"undefined"}],"grants":[{"id":10016,"fairsharing_record_id":1554,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.875Z","updated_at":"2022-10-13T09:43:38.875Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":26,"fairsharing_record_id":1554,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:15.866Z","updated_at":"2021-09-30T09:24:15.866Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":27,"fairsharing_record_id":1554,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:15.904Z","updated_at":"2021-09-30T09:32:30.004Z","grant_id":1648,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"HEALTH-F4-2010-241669","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9238,"fairsharing_record_id":1554,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.526Z","updated_at":"2022-04-11T12:07:24.546Z","grant_id":1538,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"HEALTH-F4-2007-201413","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdm9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4143c907685616a1d811264fba5110541e029972/biosamples_LOGO.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1555","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:02.471Z","metadata":{"doi":"10.25504/FAIRsharing.d8bfx4","name":"Bitter Compounds Database","status":"ready","contacts":[{"contact_email":"nivlab@agri.huji.ac.il"}],"homepage":"https://bitterdb.agri.huji.ac.il/dbbitter.php","citations":[{"doi":"10.1093/nar/gkr755","pubmed_id":21940398,"publication_id":892},{"doi":"10.1093/nar/gky974","pubmed_id":null,"publication_id":3344}],"identifier":1555,"description":"BitterDB is a free and searchable database of bitter compounds. Compounds can be searched by name, chemical structure, similarity to other bitter compounds, association with a particular human bitter taste receptor, and so on. The database also contains information on mutations in bitter taste re- ceptors that were shown to influence receptor activation by bitter compounds. The aim of BitterDB is to facilitate studying the chemical features associated with bitterness.","abbreviation":"BitterDB","data_curation":{"type":"manual"},"support_links":[{"url":"nivlab@agri.huji.ac.il","type":"Support email"},{"url":"https://bitterdb.agri.huji.ac.il/dbbitter.php#Help","name":"Help - How to use BitterDB","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/BitterDB","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://bitterdb.agri.huji.ac.il/dbbitter.php#BitterPredict","name":"BitterPredict"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://bitterdb.agri.huji.ac.il/dbbitter.php#Upload","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000009","bsg-d000009"],"name":"FAIRsharing record for: Bitter Compounds Database","abbreviation":"BitterDB","url":"https://fairsharing.org/10.25504/FAIRsharing.d8bfx4","doi":"10.25504/FAIRsharing.d8bfx4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BitterDB is a free and searchable database of bitter compounds. Compounds can be searched by name, chemical structure, similarity to other bitter compounds, association with a particular human bitter taste receptor, and so on. The database also contains information on mutations in bitter taste re- ceptors that were shown to influence receptor activation by bitter compounds. The aim of BitterDB is to facilitate studying the chemical features associated with bitterness.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science"],"domains":["Molecular structure","Ligand","Nuclear receptor","Receptor","Toxicity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":892,"pubmed_id":21940398,"title":"BitterDB: a database of bitter compounds.","year":2011,"url":"http://doi.org/10.1093/nar/gkr755","authors":"Wiener A,Shudler M,Levit A,Niv MY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr755","created_at":"2021-09-30T08:23:58.535Z","updated_at":"2021-09-30T11:28:55.011Z"},{"id":3344,"pubmed_id":null,"title":"BitterDB: taste ligands and receptors database in 2019","year":2018,"url":"http://dx.doi.org/10.1093/nar/gky974","authors":"Dagan-Wiener, Ayana; Di Pizio, Antonella; Nissim, Ido; Bahia, Malkeet S; Dubovski, Nitzan; Margulis, Eitan; Niv, Masha Y; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky974","created_at":"2022-05-04T08:10:01.367Z","updated_at":"2022-05-04T08:10:01.367Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":255,"relation":"undefined"}],"grants":[{"id":30,"fairsharing_record_id":1555,"organisation_id":1228,"relation":"maintains","created_at":"2021-09-30T09:24:16.065Z","updated_at":"2021-09-30T09:24:16.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1228,"name":"Hebrew University of Jerusalem, Israel","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":29,"fairsharing_record_id":1555,"organisation_id":3173,"relation":"funds","created_at":"2021-09-30T09:24:15.979Z","updated_at":"2021-09-30T09:30:52.341Z","grant_id":912,"is_lead":false,"saved_state":{"id":3173,"name":"U.S.-Israel Binational Science Foundation (BSF)","grant":"2007296","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9486,"fairsharing_record_id":1555,"organisation_id":3501,"relation":"maintains","created_at":"2022-05-04T08:15:15.596Z","updated_at":"2022-05-04T08:15:15.596Z","grant_id":null,"is_lead":true,"saved_state":{"id":3501,"name":"Niv Lab, Hebrew University of Jerusalem","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1556","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:23.295Z","metadata":{"doi":"10.25504/FAIRsharing.17r4y2","name":"BuG@Sbase","status":"deprecated","contacts":[{"contact_name":"Adam A. Witney","contact_email":"awitney@sgul.ac.uk","contact_orcid":"0000-0003-4561-7170"}],"homepage":"http://bugs.sgul.ac.uk/bugsbase/","identifier":1556,"description":"BuG@Sbase is a microbial gene expression and comparative genomic database containing microarray datasets.","abbreviation":"BuG@Sbase","data_curation":{"type":"not found"},"support_links":[{"url":"bugs@sgul.ac.uk","type":"Support email"},{"url":"http://bugs.sgul.ac.uk/bugsbase/tabs/help.php","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000010","bsg-d000010"],"name":"FAIRsharing record for: BuG@Sbase","abbreviation":"BuG@Sbase","url":"https://fairsharing.org/10.25504/FAIRsharing.17r4y2","doi":"10.25504/FAIRsharing.17r4y2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BuG@Sbase is a microbial gene expression and comparative genomic database containing microarray datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Comparative Genomics"],"domains":["Expression data"],"taxonomies":["Campylobacter","Clostridium","Haemophilus","Listeria","Mycobacterium","Neisseria","Staphylococcus","Streptococcus","Yersinia"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1144,"pubmed_id":21948792,"title":"BmuG@Sbase--a microbial gene expression and comparative genomic database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr796","authors":"Witney AA,Waldron DE,Brooks LA,Tyler RH,Withers M,Stoker NG,Wren BW,Butcher PD,Hinds J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr796","created_at":"2021-09-30T08:24:27.139Z","updated_at":"2021-09-30T11:29:00.627Z"},{"id":1388,"pubmed_id":18629280,"title":"BmuG@Sbase--a microarray database and analysis tool.","year":2008,"url":"http://doi.org/10.1002/cfg.197","authors":"Witney AA,Hinds J","journal":"Comp Funct Genomics","doi":"10.1002/cfg.197","created_at":"2021-09-30T08:24:55.176Z","updated_at":"2021-09-30T08:24:55.176Z"}],"licence_links":[],"grants":[{"id":31,"fairsharing_record_id":1556,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:16.104Z","updated_at":"2021-09-30T09:24:16.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":32,"fairsharing_record_id":1556,"organisation_id":3084,"relation":"maintains","created_at":"2021-09-30T09:24:16.147Z","updated_at":"2021-09-30T09:24:16.147Z","grant_id":null,"is_lead":false,"saved_state":{"id":3084,"name":"University Of London, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1557","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:40:52.166Z","metadata":{"doi":"10.25504/FAIRsharing.jr30xc","name":"Bacterial protein tYrosine Kinase database","status":"ready","contacts":[],"homepage":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbIndex","citations":[{"doi":"10.1093/nar/gkr915","pubmed_id":22080550,"publication_id":2339}],"identifier":1557,"description":"The Bacterial protein tYrosine Kinase database (BYKdb) contains computer-annotated BY-kinase sequences. The database web interface allows static and dynamic queries and provides integrated analysis tools including sequence annotation.","abbreviation":"BYKdb","data_curation":{"url":"https://doi.org/10.1093/nar/gkr915","type":"automated"},"support_links":[{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbContact","type":"Contact form"},{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbHelp","type":"Help documentation"},{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbNews","type":"Blog/News"},{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbStats","name":"Statistics","type":"Other"}],"year_creation":2011,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkr915","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000011","bsg-d000011"],"name":"FAIRsharing record for: Bacterial protein tYrosine Kinase database","abbreviation":"BYKdb","url":"https://fairsharing.org/10.25504/FAIRsharing.jr30xc","doi":"10.25504/FAIRsharing.jr30xc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bacterial protein tYrosine Kinase database (BYKdb) contains computer-annotated BY-kinase sequences. The database web interface allows static and dynamic queries and provides integrated analysis tools including sequence annotation.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12571}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Protein structure","Molecular function","Amino acid sequence"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2173,"pubmed_id":9434192,"title":"Characterization of a bacterial gene encoding an autophosphorylating protein tyrosine kinase.","year":1998,"url":"http://doi.org/10.1016/s0378-1119(97)00554-4","authors":"Grangeasse C., Doublet P., Vaganay E., Vincent C., Deléage G., Duclos B., Cozzone AJ.,","journal":"Gene","doi":"10.1016/s0378-1119(97)00554-4","created_at":"2021-09-30T08:26:24.866Z","updated_at":"2021-09-30T08:26:24.866Z"},{"id":2175,"pubmed_id":18772155,"title":"Identification of the idiosyncratic bacterial protein tyrosine kinase (BY-kinase) family signature.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn462","authors":"Jadeau F., Bechet E., Cozzone AJ., Deléage G., Grangeasse C., Combet C.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn462","created_at":"2021-09-30T08:26:25.117Z","updated_at":"2021-09-30T08:26:25.117Z"},{"id":2191,"pubmed_id":19189200,"title":"Tyrosine-kinases in bacteria: from a matter of controversy to the status of key regulatory enzymes.","year":2009,"url":"http://doi.org/10.1007/s00726-009-0237-8","authors":"Bechet E., Guiral S., Torres S., Mijakovic I., Cozzone AJ., Grangeasse C.,","journal":"Amino Acids","doi":"10.1007/s00726-009-0237-8","created_at":"2021-09-30T08:26:26.972Z","updated_at":"2021-09-30T08:26:26.972Z"},{"id":2339,"pubmed_id":22080550,"title":"BYKdb: the Bacterial protein tYrosine Kinase database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr915","authors":"Jadeau F,Grangeasse C,Shi L,Mijakovic I,Deleage G,Combet C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr915","created_at":"2021-09-30T08:26:47.258Z","updated_at":"2021-09-30T11:29:33.396Z"}],"licence_links":[],"grants":[{"id":36,"fairsharing_record_id":1557,"organisation_id":2439,"relation":"maintains","created_at":"2021-09-30T09:24:16.316Z","updated_at":"2021-09-30T09:24:16.316Z","grant_id":null,"is_lead":true,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":39,"fairsharing_record_id":1557,"organisation_id":2985,"relation":"maintains","created_at":"2021-09-30T09:24:16.440Z","updated_at":"2021-09-30T09:24:16.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":2985,"name":"Universite de Lyon, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":35,"fairsharing_record_id":1557,"organisation_id":2439,"relation":"funds","created_at":"2021-09-30T09:24:16.282Z","updated_at":"2021-09-30T09:30:24.664Z","grant_id":698,"is_lead":false,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","grant":"GIS IBiSA","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":33,"fairsharing_record_id":1557,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:16.190Z","updated_at":"2021-09-30T09:24:16.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":37,"fairsharing_record_id":1557,"organisation_id":1365,"relation":"maintains","created_at":"2021-09-30T09:24:16.356Z","updated_at":"2021-09-30T09:24:16.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":1365,"name":"Institut de Biologie et Chimie des Proteines (IBCP), Centre National de la Recherche Scientifique, Lyon, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":38,"fairsharing_record_id":1557,"organisation_id":1365,"relation":"funds","created_at":"2021-09-30T09:24:16.394Z","updated_at":"2021-09-30T09:24:16.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":1365,"name":"Institut de Biologie et Chimie des Proteines (IBCP), Centre National de la Recherche Scientifique, Lyon, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":40,"fairsharing_record_id":1557,"organisation_id":453,"relation":"maintains","created_at":"2021-09-30T09:24:16.498Z","updated_at":"2021-09-30T09:24:16.498Z","grant_id":null,"is_lead":true,"saved_state":{"id":453,"name":"Centre de Recherche en Cancerologie de Lyon (CRCL), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":34,"fairsharing_record_id":1557,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:16.230Z","updated_at":"2021-09-30T09:29:41.878Z","grant_id":363,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-07-JCJC0125-01 BACTYRKIN","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1558","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T13:22:41.545Z","metadata":{"doi":"10.25504/FAIRsharing.7x7ha7","name":"Central Aspergillus Data REpository","status":"deprecated","contacts":[{"contact_name":"CADRE Help Desk","contact_email":"helpdesk@cadre-genomes.org.uk"}],"homepage":"http://www.cadre-genomes.org.uk","citations":[],"identifier":1558,"description":"This project aims to support the international Aspergillus research community by gathering all genomic information regarding this significant genus into one resource - The Central Aspergillus REsource (CADRE). CADRE facilitates visualisation and analyses of data using the Ensembl software suite. Much of our data has been extracted from Genbank and augmented with the consent of the original sequencing groups. This additional work has been carried out using both automated and manual efforts, with support from specific annotation projects and the general Aspergillus community.","abbreviation":"CADRE","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.cadre-genomes.org.uk/info/about/contact/index.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.cadre-genomes.org.uk/info/about/ProjectInformation.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","deprecation_date":"2024-04-17","deprecation_reason":"The home page lands on a blog. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000012","bsg-d000012"],"name":"FAIRsharing record for: Central Aspergillus Data REpository","abbreviation":"CADRE","url":"https://fairsharing.org/10.25504/FAIRsharing.7x7ha7","doi":"10.25504/FAIRsharing.7x7ha7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This project aims to support the international Aspergillus research community by gathering all genomic information regarding this significant genus into one resource - The Central Aspergillus REsource (CADRE). CADRE facilitates visualisation and analyses of data using the Ensembl software suite. Much of our data has been extracted from Genbank and augmented with the consent of the original sequencing groups. This additional work has been carried out using both automated and manual efforts, with support from specific annotation projects and the general Aspergillus community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Protein domain","Gene name","DNA sequence data","Gene Ontology enrichment","Genome alignment","Gene model annotation","Orthologous","Karyotype","Genetic strain"],"taxonomies":["Aspergillus","Neosartorya fischeri"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":128,"pubmed_id":19039001,"title":"Aspergillus genomes and the Aspergillus cloud.","year":2008,"url":"http://doi.org/10.1093/nar/gkn876","authors":"Mabey Gilsenan JE., Atherton G., Bartholomew J., Giles PF., Attwood TK., Denning DW., Bowyer P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn876","created_at":"2021-09-30T08:22:34.064Z","updated_at":"2021-09-30T08:22:34.064Z"},{"id":1320,"pubmed_id":14681443,"title":"CADRE: the Central Aspergillus Data REpository.","year":2003,"url":"http://doi.org/10.1093/nar/gkh009","authors":"Mabey JE., Anderson MJ., Giles PF., Miller CJ., Attwood TK., Paton NW., Bornberg-Bauer E., Robson GD., Oliver SG., Denning DW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh009","created_at":"2021-09-30T08:24:47.559Z","updated_at":"2021-09-30T08:24:47.559Z"},{"id":2634,"pubmed_id":19146970,"title":"The 2008 update of the Aspergillus nidulans genome annotation: a community effort.","year":2009,"url":"http://doi.org/10.1016/j.fgb.2008.12.003","authors":"Wortman JR. et al.","journal":"Fungal Genet. Biol.","doi":"10.1016/j.fgb.2008.12.003","created_at":"2021-09-30T08:27:23.471Z","updated_at":"2021-09-30T08:27:23.471Z"}],"licence_links":[],"grants":[{"id":42,"fairsharing_record_id":1558,"organisation_id":2516,"relation":"maintains","created_at":"2021-09-30T09:24:16.589Z","updated_at":"2021-09-30T09:24:16.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":2516,"name":"School of Medicine, The University Hospital of South Manchester (Wythenshawe), Manchester M23 9LT, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":41,"fairsharing_record_id":1558,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:16.536Z","updated_at":"2021-09-30T09:24:16.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":44,"fairsharing_record_id":1558,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:24:16.672Z","updated_at":"2021-09-30T09:24:16.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":45,"fairsharing_record_id":1558,"organisation_id":2517,"relation":"maintains","created_at":"2021-09-30T09:24:16.710Z","updated_at":"2021-09-30T09:24:16.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2517,"name":"School of Medicine, University of Manchester, Manchester M13 9PT, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9236,"fairsharing_record_id":1558,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.358Z","updated_at":"2022-04-11T12:07:24.377Z","grant_id":215,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"242220","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1559","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:15.867Z","metadata":{"doi":"10.25504/FAIRsharing.nj4vca","name":"canSAR","status":"ready","contacts":[{"contact_name":"Bissan Al-Lazikani","contact_email":"bissan.al-lazikani@icr.ac.uk","contact_orcid":"0000-0003-3367-2519"},{"contact_name":"General Contact","contact_email":"cansar@mdanderson.org","contact_orcid":null}],"homepage":"https://cansar.ai/","citations":[],"identifier":1559,"description":"canSAR is an integrated cancer research and drug discovery resource that brings together large-scale data from different disciplines and allows query and exploration to help cancer research and drug discovery.","abbreviation":null,"data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://cansar.ai/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/cansar_icr","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000013","bsg-d000013"],"name":"FAIRsharing record for: canSAR","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nj4vca","doi":"10.25504/FAIRsharing.nj4vca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: canSAR is an integrated cancer research and drug discovery resource that brings together large-scale data from different disciplines and allows query and exploration to help cancer research and drug discovery.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11757}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Drug report","Chemical structure","Expression data","Annotation","Cancer","Cellular assay","RNAi screening","Chemical screen","Drug binding","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":783,"pubmed_id":22013161,"title":"canSAR: an integrated cancer public translational research and drug discovery resource.","year":2011,"url":"http://doi.org/10.1093/nar/gkr881","authors":"Halling-Brown MD,Bulusu KC,Patel M,Tym JE,Al-Lazikani B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr881","created_at":"2021-09-30T08:23:46.318Z","updated_at":"2021-09-30T11:28:51.300Z"},{"id":784,"pubmed_id":24304894,"title":"canSAR: updated cancer research and drug discovery knowledgebase.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1182","authors":"Bulusu KC,Tym JE,Coker EA,Schierz AC,Al-Lazikani B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1182","created_at":"2021-09-30T08:23:46.426Z","updated_at":"2021-09-30T11:28:51.408Z"},{"id":1454,"pubmed_id":26673713,"title":"canSAR: an updated cancer research and drug discovery knowledgebase.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1030","authors":"Tym JE,Mitsopoulos C,Coker EA,Razaz P,Schierz AC,Antolin AA,Al-Lazikani B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1030","created_at":"2021-09-30T08:25:02.499Z","updated_at":"2021-09-30T11:29:08.878Z"},{"id":3371,"pubmed_id":null,"title":"canSAR: update to the cancer translational research and drug discovery knowledgebase","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa1059","authors":"Mitsopoulos, Costas; Di Micco, Patrizio; Fernandez, Eloy Villasclaras; Dolciami, Daniela; Holt, Esty; Mica, Ioan L; Coker, Elizabeth A; Tym, Joseph E; Campbell, James; Che, Ka Hing; Ozer, Bugra; Kannas, Christos; Antolin, Albert A; Workman, Paul; Al-Lazikani, Bissan; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1059","created_at":"2022-05-23T12:25:09.483Z","updated_at":"2022-05-23T12:25:09.483Z"},{"id":4051,"pubmed_id":null,"title":"canSAR: update to the cancer translational research and drug discovery knowledgebase","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1004","authors":"di Micco, Patrizio; Antolin, Albert A; Mitsopoulos, Costas; Villasclaras-Fernandez, Eloy; Sanfelice, Domenico; Dolciami, Daniela; Ramagiri, Pradeep; Mica, Ioan L; Tym, Joseph E; Gingrich, Philip W; Hu, Huabin; Workman, Paul; Al-Lazikani, Bissan; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1004","created_at":"2023-11-22T12:41:52.235Z","updated_at":"2023-11-22T12:41:52.235Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3413,"relation":"applies_to_content"}],"grants":[{"id":47,"fairsharing_record_id":1559,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:16.790Z","updated_at":"2021-09-30T09:31:55.386Z","grant_id":1388,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"600388","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":48,"fairsharing_record_id":1559,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:24:16.831Z","updated_at":"2021-09-30T09:30:06.629Z","grant_id":555,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK Manchester Institute","grant":"C309/A8274","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":46,"fairsharing_record_id":1559,"organisation_id":369,"relation":"funds","created_at":"2021-09-30T09:24:16.747Z","updated_at":"2021-09-30T09:32:24.321Z","grant_id":1605,"is_lead":false,"saved_state":{"id":369,"name":"Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, UK","grant":"C309/A11566","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11103,"fairsharing_record_id":1559,"organisation_id":4175,"relation":"maintains","created_at":"2023-11-22T12:47:31.945Z","updated_at":"2023-11-22T12:47:31.945Z","grant_id":null,"is_lead":true,"saved_state":{"id":4175,"name":"The University of Texas MD Anderson Cancer Center","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":11104,"fairsharing_record_id":1559,"organisation_id":4175,"relation":"funds","created_at":"2023-11-22T12:47:31.946Z","updated_at":"2023-11-22T12:47:31.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":4175,"name":"The University of Texas MD Anderson Cancer Center","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11105,"fairsharing_record_id":1559,"organisation_id":1736,"relation":"funds","created_at":"2023-11-22T12:47:31.946Z","updated_at":"2023-11-22T12:47:31.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":1736,"name":"Lyda Hill Foundation, United States","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9556,"fairsharing_record_id":1559,"organisation_id":369,"relation":"maintains","created_at":"2022-05-23T12:26:44.619Z","updated_at":"2023-11-22T12:47:32.879Z","grant_id":null,"is_lead":false,"saved_state":{"id":369,"name":"Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZUU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--af75346c3aa4ea0024b53c25b444be87f495f32f/cansar.png?disposition=inline","exhaustive_licences":true}},{"id":"1553","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:54:11.161Z","metadata":{"doi":"10.25504/FAIRsharing.9k7at4","name":"Aspergillus Genome Database","status":"deprecated","contacts":[{"contact_email":"aspergillus-curator@lists.stanford.edu"}],"homepage":"http://www.aspgd.org","citations":[],"identifier":1553,"description":"The Aspergillus Genome Database is a resource for genomic sequence data as well as gene and protein information for Aspergilli. This publicly available repository is a central point of access to genome, transcriptome and polymorphism data for the fungal research community.","abbreviation":"ASPGD","data_curation":{},"support_links":[{"url":"http://www.aspergillusgenome.org/HelpContents.shtml","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://www.aspergillusgenome.org/cgi-bin/compute/blast_clade.pl","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011253","name":"re3data:r3d100011253","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001880","name":"SciCrunch:RRID:SCR_001880","portal":"SciCrunch"}],"deprecation_date":"2022-07-13","deprecation_reason":"This resource is no longer active.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000007","bsg-d000007"],"name":"FAIRsharing record for: Aspergillus Genome Database","abbreviation":"ASPGD","url":"https://fairsharing.org/10.25504/FAIRsharing.9k7at4","doi":"10.25504/FAIRsharing.9k7at4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Aspergillus Genome Database is a resource for genomic sequence data as well as gene and protein information for Aspergilli. This publicly available repository is a central point of access to genome, transcriptome and polymorphism data for the fungal research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene model annotation","Curated information","Protein","Sequence","Gene","Genome"],"taxonomies":["Aspergillus","Aspergillus clavatus","Aspergillus flavus","Aspergillus fumigatus","Aspergillus niger","Aspergillus oryzae","Aspergillus terreus","Emericella nidulans","Neosartorya fischeri"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":29,"pubmed_id":19773420,"title":"The Aspergillus Genome Database, a curated comparative genomics resource for gene, protein and sequence information for the Aspergillus research community.","year":2009,"url":"http://doi.org/10.1093/nar/gkp751","authors":"Arnaud MB., Chibucos MC., Costanzo MC., Crabtree J., Inglis DO., Lotia A., Orvis J., Shah P., Skrzypek MS., Binkley G., Miyasato SR., Wortman JR., Sherlock G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp751","created_at":"2021-09-30T08:22:23.463Z","updated_at":"2021-09-30T08:22:23.463Z"},{"id":1365,"pubmed_id":22080559,"title":"The Aspergillus Genome Database (AspGD): recent developments in comprehensive multispecies curation, comparative genomics and community resources.","year":2011,"url":"http://doi.org/10.1093/nar/gkr875","authors":"Arnaud MB., Cerqueira GC., Inglis DO., Skrzypek MS., Binkley J., Chibucos MC., Crabtree J., Howarth C., Orvis J., Shah P., Wymore F., Binkley G., Miyasato SR., Simison M., Sherlock G., Wortman JR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr875","created_at":"2021-09-30T08:24:52.667Z","updated_at":"2021-09-30T08:24:52.667Z"},{"id":1366,"pubmed_id":24194595,"title":"The Aspergillus Genome Database: multispecies curation and incorporation of RNA-Seq data to improve structural gene annotations.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1029","authors":"Cerqueira GC,Arnaud MB,Inglis DO,Skrzypek MS,Binkley G,Simison M,Miyasato SR,Binkley J,Orvis J,Shah P,Wymore F,Sherlock G,Wortman JR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1029","created_at":"2021-09-30T08:24:52.774Z","updated_at":"2021-09-30T11:29:07.193Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":310,"relation":"undefined"}],"grants":[{"id":24,"fairsharing_record_id":1553,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:24:15.796Z","updated_at":"2021-09-30T09:24:15.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":22,"fairsharing_record_id":1553,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:24:15.723Z","updated_at":"2021-09-30T09:24:15.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":25,"fairsharing_record_id":1553,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:15.834Z","updated_at":"2021-09-30T09:24:15.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":23,"fairsharing_record_id":1553,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:15.754Z","updated_at":"2021-09-30T09:30:20.121Z","grant_id":662,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 AI077599","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1560","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:33.282Z","metadata":{"doi":"10.25504/FAIRsharing.r3pbp3","name":"CAPS-DB : a structural classification of helix-capping motifs","status":"ready","contacts":[{"contact_name":"Narcis Fernandez-Fuentes","contact_email":"N.Fernandez-Fuentes@leeds.ac.uk","contact_orcid":"0000-0002-6421-1080"}],"homepage":"http://www.bioinsilico.org/CAPSDB","citations":[],"identifier":1560,"description":"CAPS-DB is a structural classification of helix-cappings or caps compiled from protein structures. Caps extracted from protein structures have been structurally classified based on geometry and conformation and organized in a tree-like hierarchical classification where the different levels correspond to different properties of the caps.","abbreviation":"CAPS-DB","data_curation":{"url":"http://www.bioinsilico.org/cgi-bin/CAPSDB/staticHTML/help","type":"automated","notes":"Data is clustered"},"support_links":[{"url":"http://www.bioinsilico.org/cgi-bin/CAPSDB/staticHTML/help","name":"Help Page","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000014","bsg-d000014"],"name":"FAIRsharing record for: CAPS-DB : a structural classification of helix-capping motifs","abbreviation":"CAPS-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.r3pbp3","doi":"10.25504/FAIRsharing.r3pbp3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CAPS-DB is a structural classification of helix-cappings or caps compiled from protein structures. Caps extracted from protein structures have been structurally classified based on geometry and conformation and organized in a tree-like hierarchical classification where the different levels correspond to different properties of the caps.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12572}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Molecular structure","Protein structure","Atomic coordinate","Sequence annotation","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":33,"pubmed_id":9102471,"title":"An automated classification of the structure of protein loops.","year":1997,"url":"http://doi.org/10.1006/jmbi.1996.0819","authors":"Oliva B., Bates PA., Querol E., Avilés FX., Sternberg MJ.,","journal":"J. Mol. Biol.","doi":"10.1006/jmbi.1996.0819","created_at":"2021-09-30T08:22:23.889Z","updated_at":"2021-09-30T08:22:23.889Z"},{"id":1367,"pubmed_id":22021380,"title":"CAPS-DB: a structural classification of helix-capping motifs.","year":2011,"url":"http://doi.org/10.1093/nar/gkr879","authors":"Segura J,Oliva B,Fernandez-Fuentes N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr879","created_at":"2021-09-30T08:24:52.881Z","updated_at":"2021-09-30T11:29:07.284Z"}],"licence_links":[{"licence_name":"CAPS-DB Disclaimer","licence_id":914,"licence_url":"http://www.bioinsilico.org/cgi-bin/CAPSDB/staticHTML/disclaimer","link_id":2622,"relation":"applies_to_content"}],"grants":[{"id":8984,"fairsharing_record_id":1560,"organisation_id":3076,"relation":"maintains","created_at":"2022-03-11T11:19:09.158Z","updated_at":"2022-03-11T11:19:09.158Z","grant_id":null,"is_lead":true,"saved_state":{"id":3076,"name":"University of Leeds","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1617","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:46:52.553Z","metadata":{"doi":"10.25504/FAIRsharing.vr52p3","name":"Nucleic Acid Phylogenetic Profile","status":"ready","contacts":[{"contact_name":"Daniel Gautheret","contact_email":"daniel.gautheret@u-psud.fr","contact_orcid":"0000-0002-1508-8469"}],"homepage":"http://rssf.i2bc.paris-saclay.fr/NAPP/index.php","citations":[],"identifier":1617,"description":"NAPP (Nucleic Acids Phylogenetic Profile) enables users to retrieve RNA-rich clusters from any genome in a list of 1000+ sequenced bacterial genomes. RNA-rich clusters can be viewed separately or, alternatively, all tiles from RNA-rich clusters can be contiged into larger elements and retrieved at once as a CSV or GFF file for use in a genome browser or comparison with other predictions/RNA-seq experiments.","abbreviation":"NAPP","data_curation":{"url":"http://rssf.i2bc.paris-saclay.fr/NAPP/Help.php","type":"automated"},"support_links":[{"url":"napp.biologie@u-psud.fr","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/NAPP_(Database)","type":"Wikipedia"},{"url":"http://rssf.i2bc.paris-saclay.fr/NAPP/Help.php","name":"Help Information","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://rssf.i2bc.paris-saclay.fr/NAPP/Help.php","type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000073","bsg-d000073"],"name":"FAIRsharing record for: Nucleic Acid Phylogenetic Profile","abbreviation":"NAPP","url":"https://fairsharing.org/10.25504/FAIRsharing.vr52p3","doi":"10.25504/FAIRsharing.vr52p3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NAPP (Nucleic Acids Phylogenetic Profile) enables users to retrieve RNA-rich clusters from any genome in a list of 1000+ sequenced bacterial genomes. RNA-rich clusters can be viewed separately or, alternatively, all tiles from RNA-rich clusters can be contiged into larger elements and retrieved at once as a CSV or GFF file for use in a genome browser or comparison with other predictions/RNA-seq experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["RNA sequence","Clustering","Non-coding RNA"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":118,"pubmed_id":19237465,"title":"Single-pass classification of all noncoding sequences in a bacterial genome using phylogenetic profiles.","year":2009,"url":"http://doi.org/10.1101/gr.089714.108","authors":"Marchais A., Naville M., Bohn C., Bouloc P., Gautheret D.,","journal":"Genome Res.","doi":"10.1101/gr.089714.108","created_at":"2021-09-30T08:22:33.063Z","updated_at":"2021-09-30T08:22:33.063Z"},{"id":1147,"pubmed_id":21984475,"title":"NAPP: the Nucleic Acid Phylogenetic Profile Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr807","authors":"Ott A,Idali A,Marchais A,Gautheret D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr807","created_at":"2021-09-30T08:24:27.520Z","updated_at":"2021-09-30T11:29:00.917Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 France (CC BY 2.0 FR)","licence_id":935,"licence_url":"https://creativecommons.org/licenses/by/2.0/fr/","link_id":2683,"relation":"applies_to_content"}],"grants":[{"id":242,"fairsharing_record_id":1617,"organisation_id":1092,"relation":"maintains","created_at":"2021-09-30T09:24:23.545Z","updated_at":"2022-05-09T11:46:03.070Z","grant_id":null,"is_lead":true,"saved_state":{"id":1092,"name":"Gautheret Lab, Institute for Integrative Biology of the Cell","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":241,"fairsharing_record_id":1617,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:23.504Z","updated_at":"2021-09-30T09:32:40.238Z","grant_id":1726,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-06-MIME-016-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBY1E9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ded9743839b959ea5fd33e0eaf6a3117c79ab55f/NAPP.png?disposition=inline","exhaustive_licences":false}},{"id":"1618","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:09.780Z","metadata":{"doi":"10.25504/FAIRsharing.8gwskw","name":"Network of Cancer Genes","status":"ready","contacts":[{"contact_name":"Thanos Mourikis","contact_email":"athanasios.mourikis@kcl.ac.uk"}],"homepage":"http://ncg.kcl.ac.uk/","citations":[{"publication_id":2454}],"identifier":1618,"description":"The Network of Cancer Genes (NCG) contains information on duplicability, evolution, protein-protein and microRNA-gene interaction, function, expression and essentiality of cancer genes from manually curated publications . NCG also provides information on the experimental validation that supports the role of these genes in cancer and annotates their properties (duplicability, evolutionary origin, expression profile, function and interactions with proteins and miRNAs).","abbreviation":"NCG","data_curation":{"type":"manual"},"support_links":[{"url":"francesca.ciccarelli@crick.ac.uk","name":"francesca.ciccarelli@crick.ac.uk","type":"Support email"},{"url":"http://ncg.kcl.ac.uk/help.php","name":"Help Pages","type":"Help documentation"},{"url":"http://ncg.kcl.ac.uk/statistics.php","name":"Statistics","type":"Help documentation"},{"url":"http://ncg.kcl.ac.uk/citation.php","name":"Citations","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Network_of_Cancer_Genes","name":"Wikipedia page","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000074","bsg-d000074"],"name":"FAIRsharing record for: Network of Cancer Genes","abbreviation":"NCG","url":"https://fairsharing.org/10.25504/FAIRsharing.8gwskw","doi":"10.25504/FAIRsharing.8gwskw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Network of Cancer Genes (NCG) contains information on duplicability, evolution, protein-protein and microRNA-gene interaction, function, expression and essentiality of cancer genes from manually curated publications . NCG also provides information on the experimental validation that supports the role of these genes in cancer and annotates their properties (duplicability, evolutionary origin, expression profile, function and interactions with proteins and miRNAs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Evolutionary Biology","Biomedical Science"],"domains":["Expression data","Protein interaction","Function analysis","Cancer","Gene silencing by miRNA (microRNA)","High Throughput Screening","Whole genome sequencing","Micro RNA","Experimentally determined","Orthologous","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":108,"pubmed_id":21490719,"title":"Modification of gene duplicability during the evolution of protein interaction network.","year":2011,"url":"http://doi.org/10.1371/journal.pcbi.1002029","authors":"D'Antonio M., Ciccarelli FD.,","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1002029","created_at":"2021-09-30T08:22:31.997Z","updated_at":"2021-09-30T08:22:31.997Z"},{"id":421,"pubmed_id":19906700,"title":"Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes.","year":2009,"url":"http://doi.org/10.1093/nar/gkp957","authors":"Syed AS., D'Antonio M., Ciccarelli FD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp957","created_at":"2021-09-30T08:23:05.767Z","updated_at":"2021-09-30T08:23:05.767Z"},{"id":1593,"pubmed_id":18675489,"title":"Low duplicability and network fragility of cancer genes.","year":2008,"url":"http://doi.org/10.1016/j.tig.2008.06.003","authors":"Rambaldi D., Giorgi FM., Capuani F., Ciliberto A., Ciccarelli FD.,","journal":"Trends Genet.","doi":"10.1016/j.tig.2008.06.003","created_at":"2021-09-30T08:25:18.585Z","updated_at":"2021-09-30T08:25:18.585Z"},{"id":1947,"pubmed_id":26516186,"title":"NCG 5.0: updates of a manually curated repository of cancer genes and associated properties from cancer mutational screenings.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1123","authors":"An O,Dall'Olio GM,Mourikis TP,Ciccarelli FD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1123","created_at":"2021-09-30T08:25:59.079Z","updated_at":"2021-09-30T11:29:24.493Z"},{"id":2454,"pubmed_id":null,"title":"The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screens.","year":2018,"url":"https://doi.org/10.1101/389858","authors":"Dimitra Repana, Joel Nulsen, Lisa Dressler, Michele Bortolomeazzi, Santhilata Kuppili Venkata, Aikaterini Tourna, Anna Yakovleva, Tommaso Palmieri, View ORCID ProfileFrancesca D Ciccarelli","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:27:01.019Z","updated_at":"2021-09-30T11:28:40.203Z"}],"licence_links":[],"grants":[{"id":243,"fairsharing_record_id":1618,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:24:23.589Z","updated_at":"2021-09-30T09:24:23.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":244,"fairsharing_record_id":1618,"organisation_id":519,"relation":"maintains","created_at":"2021-09-30T09:24:23.619Z","updated_at":"2021-09-30T09:24:23.619Z","grant_id":null,"is_lead":true,"saved_state":{"id":519,"name":"Ciccarelli group, King's College London, United Kingdom","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1619","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:55:54.089Z","metadata":{"doi":"10.25504/FAIRsharing.k6a8e5","name":"Newt-omics","status":"deprecated","contacts":[{"contact_name":"Thomas Braun","contact_email":"Thomas.Braun@mpi-bn.mpg.de","contact_orcid":"0000-0002-6165-4804"}],"homepage":"http://newt-omics.mpi-bn.mpg.de","citations":[],"identifier":1619,"description":"A comprehensive repository for omics data from the red spotted newt Notophthalmus viridescens from high throughput experiments. Newt-Omics aims to provide a comprehensive platform of expressed genes during tissue regeneration, including extensive annotations, expression data and experimentally verified peptide sequences with yet no homology to other publically available gene sequences. The goal is to obtain a detailed understanding of the molecular processes underlying tissue regeneration in the newt,that may lead to the development of approaches, efficiently stimulating regenerative pathways in mammalians.","abbreviation":"Newt-omics","data_curation":{},"support_links":[{"url":"http://newt-omics.mpi-bn.mpg.de/tutorial.php","name":"Tutorial","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2022-05-18","deprecation_reason":"The resource homepage no longer exists, and a new project page cannot be found. Please get in touch with us if you have more information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000075","bsg-d000075"],"name":"FAIRsharing record for: Newt-omics","abbreviation":"Newt-omics","url":"https://fairsharing.org/10.25504/FAIRsharing.k6a8e5","doi":"10.25504/FAIRsharing.k6a8e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive repository for omics data from the red spotted newt Notophthalmus viridescens from high throughput experiments. Newt-Omics aims to provide a comprehensive platform of expressed genes during tissue regeneration, including extensive annotations, expression data and experimentally verified peptide sequences with yet no homology to other publically available gene sequences. The goal is to obtain a detailed understanding of the molecular processes underlying tissue regeneration in the newt,that may lead to the development of approaches, efficiently stimulating regenerative pathways in mammalians.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics"],"domains":["Gene Ontology enrichment","Annotation","Protein identification","Peptide","DNA sequencing assay","Transcript","Complementary DNA"],"taxonomies":["Notophthalmus viridescens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":112,"pubmed_id":20047682,"title":"Analysis of newly established EST databases reveals similarities between heart regeneration in newt and fish.","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-4","authors":"Borchardt T., Looso M., Bruckskotten M., Weis P., Kruse J., Braun T.,","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-4","created_at":"2021-09-30T08:22:32.465Z","updated_at":"2021-09-30T08:22:32.465Z"},{"id":619,"pubmed_id":23425577,"title":"A de novo assembly of the newt transcriptome combined with proteomic validation identifies new protein families expressed during tissue regeneration.","year":2013,"url":"http://doi.org/10.1186/gb-2013-14-2-r16","authors":"Looso M, Preussner J, Sousounis K, Bruckskotten M, Michel CS, Lignelli E, Reinhardt R, Höffner S, Krüger M, Tsonis PA, Borchardt T, Braun T","journal":"Genome Biol.","doi":"doi:10.1186/gb-2013-14-2-r16","created_at":"2021-09-30T08:23:28.128Z","updated_at":"2021-09-30T08:23:28.128Z"},{"id":1444,"pubmed_id":20139370,"title":"Advanced identification of proteins in uncharacterized proteomes by pulsed in vivo stable isotope labeling-based mass spectrometry.","year":2010,"url":"http://doi.org/10.1074/mcp.M900426-MCP200","authors":"Looso M., Borchardt T., Krüger M., Braun T.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M900426-MCP200","created_at":"2021-09-30T08:25:01.443Z","updated_at":"2021-09-30T08:25:01.443Z"}],"licence_links":[],"grants":[{"id":245,"fairsharing_record_id":1619,"organisation_id":1784,"relation":"funds","created_at":"2021-09-30T09:24:23.649Z","updated_at":"2021-09-30T09:24:23.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1784,"name":"Max-Planck-Institute for Heart and Lung Research (MPI-HLR), Nauheim, Germany.","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8987,"fairsharing_record_id":1619,"organisation_id":1784,"relation":"maintains","created_at":"2022-03-11T15:54:38.668Z","updated_at":"2022-03-11T15:54:38.668Z","grant_id":null,"is_lead":true,"saved_state":{"id":1784,"name":"Max-Planck-Institute for Heart and Lung Research (MPI-HLR), Nauheim, Germany.","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1600","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:10.035Z","metadata":{"doi":"10.25504/FAIRsharing.smqf7y","name":"InterEvol database","status":"ready","contacts":[{"contact_name":"Raphael Guerois - Coordinator","contact_email":"raphael.guerois@cea.fr"}],"homepage":"http://biodev.cea.fr/interevol/","citations":[],"identifier":1600,"description":"Evolution of protein-protein Interfaces InterEvol is a resource for researchers to investigate the structural interaction of protein molecules and sequences using a variety of tools and resources.","abbreviation":null,"data_curation":{"type":"automated"},"support_links":[{"url":"http://biodev.cea.fr/interevol/faq/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://biodev.cea.fr/interevol/help/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://biodev.cea.fr/interevol/pymol/pymol.html","name":" InterEvol PyMOL plugin"}],"data_access_condition":{"type":"open","notes":"This website is free and open to all users and there is no login requirement."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000055","bsg-d000055"],"name":"FAIRsharing record for: InterEvol database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.smqf7y","doi":"10.25504/FAIRsharing.smqf7y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Evolution of protein-protein Interfaces InterEvol is a resource for researchers to investigate the structural interaction of protein molecules and sequences using a variety of tools and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Multiple sequence alignment","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1443,"pubmed_id":null,"title":"InterEvol database: exploring the structure and evolution of protein complex interfaces","year":2012,"url":"https://doi.org/10.1093/nar/gkr845","authors":"Faure G, Andreani J, and Guerois R","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:25:01.341Z","updated_at":"2021-09-30T11:28:41.375Z"}],"licence_links":[{"licence_name":"InterEvol Legal Information","licence_id":932,"licence_url":"http://biodev.cea.fr/legal.htm","link_id":2668,"relation":"applies_to_content"}],"grants":[{"id":182,"fairsharing_record_id":1600,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:21.572Z","updated_at":"2021-09-30T09:24:21.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":183,"fairsharing_record_id":1600,"organisation_id":1057,"relation":"funds","created_at":"2021-09-30T09:24:21.595Z","updated_at":"2021-09-30T09:24:21.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":1057,"name":"French Alternative Energies and Atomic Energy Commission (CEA), Gif sur Yvette, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1602","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:08:22.514Z","metadata":{"doi":"10.25504/FAIRsharing.7xkx69","name":"Mechanism, Annotation and Classification in Enzymes","status":"deprecated","contacts":[{"contact_name":"Gemma L. Holliday","contact_email":"gemma@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/thornton-srv/databases/MACiE","identifier":1602,"description":"MACiE is an electronic database of well-characterised enzymatic reactions. MACiE is the result of more than three years' collaboration between the Mitchell and Murray-Rust groups in the Unilever Centre and Prof. Janet Thornton at the European Bioinformatics Institute. The database contains the reaction mechanisms for 100 individual enzymes; this includes the overall reactions and the multiple steps that constitute them.","abbreviation":"MACiE","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/MACiE/FAQ.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ebi.ac.uk/thornton-srv/databases/MACiE/documentation/index.html","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now obsolete and, together with CSA (https://fairsharing.org/FAIRsharing.2ajtcf), has formed the basis of the M-CSA resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000057","bsg-d000057"],"name":"FAIRsharing record for: Mechanism, Annotation and Classification in Enzymes","abbreviation":"MACiE","url":"https://fairsharing.org/10.25504/FAIRsharing.7xkx69","doi":"10.25504/FAIRsharing.7xkx69","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MACiE is an electronic database of well-characterised enzymatic reactions. MACiE is the result of more than three years' collaboration between the Mitchell and Murray-Rust groups in the Unilever Centre and Prof. Janet Thornton at the European Bioinformatics Institute. The database contains the reaction mechanisms for 100 individual enzymes; this includes the overall reactions and the multiple steps that constitute them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme Commission number","Reaction data","Molecular interaction","Enzymatic reaction","Enzyme"],"taxonomies":["All"],"user_defined_tags":["Chemical bond modification"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":90,"pubmed_id":16188925,"title":"MACiE: a database of enzyme reaction mechanisms.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti693","authors":"Holliday GL., Bartlett GJ., Almonacid DE., O'Boyle NM., Murray-Rust P., Thornton JM., Mitchell JB.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti693","created_at":"2021-09-30T08:22:30.280Z","updated_at":"2021-09-30T08:22:30.280Z"},{"id":104,"pubmed_id":17082206,"title":"MACiE (Mechanism, Annotation and Classification in Enzymes): novel tools for searching catalytic mechanisms.","year":2006,"url":"http://doi.org/10.1093/nar/gkl774","authors":"Holliday GL., Almonacid DE., Bartlett GJ., O'Boyle NM., Torrance JW., Murray-Rust P., Mitchell JB., Thornton JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl774","created_at":"2021-09-30T08:22:31.588Z","updated_at":"2021-09-30T08:22:31.588Z"}],"licence_links":[],"grants":[{"id":186,"fairsharing_record_id":1602,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:21.690Z","updated_at":"2021-09-30T09:24:21.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":187,"fairsharing_record_id":1602,"organisation_id":2914,"relation":"maintains","created_at":"2021-09-30T09:24:21.722Z","updated_at":"2021-09-30T09:24:21.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":2914,"name":"Unilever Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge Lensfield Road, Cambridge, CB2 1EW, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":188,"fairsharing_record_id":1602,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:21.755Z","updated_at":"2021-09-30T09:31:48.460Z","grant_id":1335,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/C51320X/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1603","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:55:51.183Z","metadata":{"doi":"10.25504/FAIRsharing.1ex4pm","name":"MAPPER-2","status":"deprecated","contacts":[{"contact_name":"Help desk","contact_email":"mapper-bugs@chip.org"}],"homepage":"http://genome.ufl.edu/mapperdb","identifier":1603,"description":"This resource provides information primarily on the upstream non-coding sequence data of genes in 3 genomes which gives insight into the transcription factors binding sites (TFBSs). For each transcript, the region scanned extends from 10,000bp upstream of the transcript start to 50bp downstream of the coding sequence start. Therefore, the database contains putative binding sites in the gene promoter and in the initial introns and non-coding exons. Information displayed for each putative binding site includes the transcription factor name, its position (absolute on the chromosome, or relative to the gene), the score of the prediction, and the region of the gene the site belongs to. If the selected gene has homologs in any of the other two organisms, the program optionally displays the putative TFBSs in the homologs.","abbreviation":"mapperdb","data_curation":{"type":"not found"},"year_creation":2005,"data_versioning":"yes","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000058","bsg-d000058"],"name":"FAIRsharing record for: MAPPER-2","abbreviation":"mapperdb","url":"https://fairsharing.org/10.25504/FAIRsharing.1ex4pm","doi":"10.25504/FAIRsharing.1ex4pm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource provides information primarily on the upstream non-coding sequence data of genes in 3 genomes which gives insight into the transcription factors binding sites (TFBSs). For each transcript, the region scanned extends from 10,000bp upstream of the transcript start to 50bp downstream of the coding sequence start. Therefore, the database contains putative binding sites in the gene promoter and in the initial introns and non-coding exons. Information displayed for each putative binding site includes the transcription factor name, its position (absolute on the chromosome, or relative to the gene), the score of the prediction, and the region of the gene the site belongs to. If the selected gene has homologs in any of the other two organisms, the program optionally displays the putative TFBSs in the homologs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Transcription factor","Exon","Intron","Genome"],"taxonomies":["Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":95,"pubmed_id":15799782,"title":"MAPPER: a search engine for the computational identification of putative transcription factor binding sites in multiple genomes.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-79","authors":"Marinescu VD., Kohane IS., Riva A.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-79","created_at":"2021-09-30T08:22:30.739Z","updated_at":"2021-09-30T08:22:30.739Z"},{"id":96,"pubmed_id":15608292,"title":"The MAPPER database: a multi-genome catalog of putative transcription factor binding sites.","year":2004,"url":"http://doi.org/10.1093/nar/gki103","authors":"Marinescu VD., Kohane IS., Riva A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki103","created_at":"2021-09-30T08:22:30.825Z","updated_at":"2021-09-30T08:22:30.825Z"}],"licence_links":[],"grants":[{"id":189,"fairsharing_record_id":1603,"organisation_id":3054,"relation":"funds","created_at":"2021-09-30T09:24:21.778Z","updated_at":"2021-09-30T09:24:21.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":3054,"name":"University of Florida","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":190,"fairsharing_record_id":1603,"organisation_id":3055,"relation":"maintains","created_at":"2021-09-30T09:24:21.805Z","updated_at":"2021-09-30T09:24:21.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1604","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:31:41.144Z","metadata":{"doi":"10.25504/FAIRsharing.a1rp4c","name":"MetaBase - The wiki-database of biological databases","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@metabase.net"}],"homepage":"http://www.Metabase.net","identifier":1604,"description":"MetaBase is the community-curated collection of all biological databases for use by the research community as a source of reliable information.","abbreviation":"MB","data_curation":{"type":"not found"},"year_creation":2007,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000059","bsg-d000059"],"name":"FAIRsharing record for: MetaBase - The wiki-database of biological databases","abbreviation":"MB","url":"https://fairsharing.org/10.25504/FAIRsharing.a1rp4c","doi":"10.25504/FAIRsharing.a1rp4c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaBase is the community-curated collection of all biological databases for use by the research community as a source of reliable information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Resource metadata"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Costa Rica","El Salvador","Honduras","Mexico","Nicaragua","Panama"],"publications":[{"id":2533,"pubmed_id":22139927,"title":"MetaBase--the wiki-database of biological databases.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1099","authors":"Bolser DM,Chibon PY,Palopoli N,Gong S,Jacob D,Del Angel VD,Swan D,Bassi S,Gonzalez V,Suravajhala P,Hwang S,Romano P,Edwards R,Bishop B,Eargle J,Shtatland T,Provart NJ,Clements D,Renfro DP,Bhak D,Bhak J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1099","created_at":"2021-09-30T08:27:10.749Z","updated_at":"2021-09-30T11:29:38.763Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1605","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:01.149Z","metadata":{"doi":"10.25504/FAIRsharing.wdbd3r","name":"MetaCrop 2.0","status":"ready","contacts":[{"contact_name":"Falk Schreiber","contact_email":"schreibe@ipk-gatersleben.de"}],"homepage":"http://metacrop.ipk-gatersleben.de","citations":[],"identifier":1605,"description":"The MetaCrop resource contains information on the major metabolic pathways mainly in crops of agricultural and economic importance. The database includes manually curated information on reactions and the kinetic data associated with these reactions. Ontology terms are used and publication identification available to ease mining the data.","abbreviation":"MetaCrop 2.0","data_curation":{"url":"https://metacrop.ipk-gatersleben.de/apex/f?p=269:2::::::","type":"manual"},"support_links":[{"url":"https://metacrop.ipk-gatersleben.de/apex/f?p=269:2::::::","name":"About","type":"Help documentation"},{"url":"https://metacrop.ipk-gatersleben.de/apex/METACROP.download_additional_file?file_id=12872411885275412","name":"Tutorial","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010123","name":"re3data:r3d100010123","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003100","name":"SciCrunch:RRID:SCR_003100","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000060","bsg-d000060"],"name":"FAIRsharing record for: MetaCrop 2.0","abbreviation":"MetaCrop 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.wdbd3r","doi":"10.25504/FAIRsharing.wdbd3r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MetaCrop resource contains information on the major metabolic pathways mainly in crops of agricultural and economic importance. The database includes manually curated information on reactions and the kinetic data associated with these reactions. Ontology terms are used and publication identification available to ease mining the data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Reaction data","Kinetic model","Cellular component","Biological process","Pathway model"],"taxonomies":["Arabidopsis thaliana","Beta vulgaris","Brassica napus","Hordeum vulgare","Medicago truncatula","Oryza sativa","Solanum tuberosum","Triticum aestivum","Zea mays"],"user_defined_tags":["Stoichiometry"],"countries":["Germany"],"publications":[{"id":85,"pubmed_id":17933764,"title":"MetaCrop: a detailed database of crop plant metabolism.","year":2007,"url":"http://doi.org/10.1093/nar/gkm835","authors":"Grafahrend-Belau E., Weise S., Koschützki D., Scholz U., Junker BH., Schreiber F.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm835","created_at":"2021-09-30T08:22:29.190Z","updated_at":"2021-09-30T08:22:29.190Z"},{"id":87,"pubmed_id":20375443,"title":"Novel developments of the MetaCrop information system for facilitating systems biological approaches.","year":2010,"url":"http://doi.org/10.2390/biecoll-jib-2010-125","authors":"Hippe K., Colmsee C., Czauderna T., Grafahrend-Belau E., Junker BH., Klukas C., Scholz U., Schreiber F., Weise S.,","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2010-125","created_at":"2021-09-30T08:22:29.997Z","updated_at":"2021-09-30T08:22:29.997Z"},{"id":1374,"pubmed_id":17059592,"title":"Meta-All: a system for managing metabolic pathway information.","year":2006,"url":"http://doi.org/10.1186/1471-2105-7-465","authors":"Weise S., Grosse I., Klukas C., Koschützki D., Scholz U., Schreiber F., Junker BH.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-465","created_at":"2021-09-30T08:24:53.685Z","updated_at":"2021-09-30T08:24:53.685Z"},{"id":2185,"pubmed_id":22086948,"title":"MetaCrop 2.0: managing and exploring information about crop plant metabolism.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1004","authors":"Schreiber F,Colmsee C,Czauderna T,Grafahrend-Belau E,Hartmann A,Junker A,Junker BH,Klapperstuck M,Scholz U,Weise S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1004","created_at":"2021-09-30T08:26:26.356Z","updated_at":"2021-09-30T11:29:30.795Z"}],"licence_links":[],"grants":[{"id":192,"fairsharing_record_id":1605,"organisation_id":1702,"relation":"maintains","created_at":"2021-09-30T09:24:21.855Z","updated_at":"2021-09-30T09:24:21.855Z","grant_id":null,"is_lead":false,"saved_state":{"id":1702,"name":"Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9367,"fairsharing_record_id":1605,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.511Z","updated_at":"2022-04-11T12:07:33.529Z","grant_id":1140,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0312706A","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1606","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:45:32.174Z","metadata":{"doi":"10.25504/FAIRsharing.bv0zjz","name":"Mimotope Database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"hj@uestc.edu.cn"}],"homepage":"http://immunet.cn/mimodb","identifier":1606,"description":"Mimotope database, active site-mimicking peptides selected from phage-display libraries. It is a database which stores information on peptides that have been selected from random peptide libraries based on their ability to bind small compounds, nucleic acids, proteins, cells, tissues, organs, and even entire organisms through phage display technology. Besides the peptide sequences, other information such as the corresponding target, template, library, and structures are also stored. All entries are manually extracted from published peer review articles and other public data sources such as Uniprot, GenBank and PDBSum.","abbreviation":"MimoDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://immunet.cn/bdb/index.php/site/contact","type":"Contact form"},{"url":"http://immunet.cn/mimodb/help.php","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","deprecation_date":"2021-02-08","deprecation_reason":"This resource is no longer available","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000062","bsg-d000062"],"name":"FAIRsharing record for: Mimotope Database","abbreviation":"MimoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bv0zjz","doi":"10.25504/FAIRsharing.bv0zjz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mimotope database, active site-mimicking peptides selected from phage-display libraries. It is a database which stores information on peptides that have been selected from random peptide libraries based on their ability to bind small compounds, nucleic acids, proteins, cells, tissues, organs, and even entire organisms through phage display technology. Besides the peptide sequences, other information such as the corresponding target, template, library, and structures are also stored. All entries are manually extracted from published peer review articles and other public data sources such as Uniprot, GenBank and PDBSum.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Peptide library","Target"],"taxonomies":["All"],"user_defined_tags":["Template library"],"countries":["China"],"publications":[{"id":98,"pubmed_id":21079566,"title":"MimoDB: a new repository for mimotope data derived from phage display technology.","year":2010,"url":"http://doi.org/10.3390/molecules15118279","authors":"Ru B., Huang J., Dai P., Li S., Xia Z., Ding H., Lin H., Guo F., Wang X.,","journal":"Molecules","doi":"10.3390/molecules15118279","created_at":"2021-09-30T08:22:31.030Z","updated_at":"2021-09-30T08:22:31.030Z"},{"id":754,"pubmed_id":22053087,"title":"MimoDB 2.0: a mimotope database and beyond.","year":2011,"url":"http://doi.org/10.1093/nar/gkr922","authors":"Huang J,Ru B,Zhu P,Nie F,Yang J,Wang X,Dai P,Lin H,Guo FB,Rao N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr922","created_at":"2021-09-30T08:23:43.019Z","updated_at":"2021-09-30T11:28:49.934Z"},{"id":1863,"pubmed_id":26503249,"title":"BDB: biopanning data bank.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1100","authors":"He B,Chai G,Duan Y,Yan Z,Qiu L,Zhang H,Liu Z,He Q,Han K,Ru B,Guo FB,Ding H,Lin H,Wang X,Rao N,Zhou P,Huang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1100","created_at":"2021-09-30T08:25:49.345Z","updated_at":"2021-09-30T11:29:21.568Z"}],"licence_links":[],"grants":[{"id":194,"fairsharing_record_id":1606,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:21.927Z","updated_at":"2021-09-30T09:29:48.079Z","grant_id":410,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"61071177","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":195,"fairsharing_record_id":1606,"organisation_id":2525,"relation":"funds","created_at":"2021-09-30T09:24:21.966Z","updated_at":"2021-09-30T09:31:33.435Z","grant_id":1223,"is_lead":false,"saved_state":{"id":2525,"name":"Scientific Research Foundation of UESTC for Youth","grant":"JX0769","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8163,"fairsharing_record_id":1606,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:16.918Z","updated_at":"2021-09-30T09:31:16.960Z","grant_id":1100,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30600138","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1607","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:39.851Z","metadata":{"doi":"10.25504/FAIRsharing.wqtfkv","name":"MINAS - A Database of Metal Ions in Nucleic AcidS","status":"uncertain","contacts":[{"contact_name":"Joachim Schnabl","contact_email":"joachim.schnabl@aci.uzh.ch","contact_orcid":"0000-0003-2452-9892"}],"homepage":"http://www.minas.uzh.ch","citations":[],"identifier":1607,"description":"MINAS contains the exact geometric information on the first and second-shell coordinating ligands of every metal ion present in nucleic acid structures that are deposited in the PDB and NDB. Containing also the sequence information of the binding pocket-proximal nucleotides, this database allows for a detailed search of all combinations of potential ligands and of coordination environments of metal ions. MINAS is therefore a perfect new tool to classify metal ion binding pockets in nucleic acids by statistics and to draw general conclusions about the different coordination properties of these ions. This record has been marked as Uncertain because the homepage for this resource is no longer active, and we have not been able to get in touch with the owners of the resource. Please contact us if you have any information regarding MINAS.","abbreviation":"MINAS","data_curation":{"type":"manual"},"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000063","bsg-d000063"],"name":"FAIRsharing record for: MINAS - A Database of Metal Ions in Nucleic AcidS","abbreviation":"MINAS","url":"https://fairsharing.org/10.25504/FAIRsharing.wqtfkv","doi":"10.25504/FAIRsharing.wqtfkv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINAS contains the exact geometric information on the first and second-shell coordinating ligands of every metal ion present in nucleic acid structures that are deposited in the PDB and NDB. Containing also the sequence information of the binding pocket-proximal nucleotides, this database allows for a detailed search of all combinations of potential ligands and of coordination environments of metal ions. MINAS is therefore a perfect new tool to classify metal ion binding pockets in nucleic acids by statistics and to draw general conclusions about the different coordination properties of these ions. This record has been marked as Uncertain because the homepage for this resource is no longer active, and we have not been able to get in touch with the owners of the resource. Please contact us if you have any information regarding MINAS.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11759}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science"],"domains":["Atomic coordinate","Deoxyribonucleic acid","Ligand","Metal ion binding","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":102,"pubmed_id":20047851,"title":"Controlling ribozyme activity by metal ions.","year":2010,"url":"http://doi.org/10.1016/j.cbpa.2009.11.024","authors":"Schnabl J., Sigel RK.,","journal":"Curr Opin Chem Biol","doi":"10.1016/j.cbpa.2009.11.024","created_at":"2021-09-30T08:22:31.414Z","updated_at":"2021-09-30T08:22:31.414Z"},{"id":2282,"pubmed_id":null,"title":"Digitoxin metabolism by rat liver microsomes.","year":1975,"url":"http://doi.org/DOI:10.1016/j.ccr.2007.03.008","authors":"Schmoldt A., Benthe HF., Haberland G.,","journal":"Biochem. Pharmacol.","doi":"DOI:10.1016/j.ccr.2007.03.008","created_at":"2021-09-30T08:26:37.992Z","updated_at":"2021-09-30T08:26:37.992Z"}],"licence_links":[],"grants":[{"id":197,"fairsharing_record_id":1607,"organisation_id":690,"relation":"maintains","created_at":"2021-09-30T09:24:22.044Z","updated_at":"2021-09-30T09:24:22.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":690,"name":"Department of Chemistry (UZH Chemistry), University of Zurich, Zurich, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":196,"fairsharing_record_id":1607,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:24:22.002Z","updated_at":"2021-09-30T09:31:46.101Z","grant_id":1318,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"RKOS PP002-68733/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1608","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:27:35.536Z","metadata":{"doi":"10.25504/FAIRsharing.cjk54e","name":"Minimotif Miner 3.0","status":"deprecated","contacts":[{"contact_name":"Tian Mi","contact_email":"tian.mi@engr.uconn.edu"}],"homepage":"http://minimotifminer.org","citations":[],"identifier":1608,"description":"A database of short functional motifs involved in posttranslational modifications, binding to other proteins, nucleic acids, or small molecules.","abbreviation":"MnM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bio-toolkit.com/Minimotif%20Miner/screen_cast/","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Minimotif_Miner","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2022-06-30","deprecation_reason":"The project homepage is no longer valid, and an alternative cannot be found. Please get in touch with us if you have any questions.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000064","bsg-d000064"],"name":"FAIRsharing record for: Minimotif Miner 3.0","abbreviation":"MnM","url":"https://fairsharing.org/10.25504/FAIRsharing.cjk54e","doi":"10.25504/FAIRsharing.cjk54e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database of short functional motifs involved in posttranslational modifications, binding to other proteins, nucleic acids, or small molecules.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["PTM site prediction","Protein interaction","Protein modification","Protein","Sequence"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":47,"pubmed_id":20808856,"title":"Partitioning of minimotifs based on function with improved prediction accuracy.","year":2010,"url":"http://doi.org/10.1371/journal.pone.0012276","authors":"Rajasekaran S., Mi T., Merlin JC., Oommen A., Gradie P., Schiller MR.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0012276","created_at":"2021-09-30T08:22:25.438Z","updated_at":"2021-09-30T08:22:25.438Z"},{"id":88,"pubmed_id":16489333,"title":"Minimotif Miner: a tool for investigating protein function.","year":2006,"url":"http://doi.org/10.1038/nmeth856","authors":"Balla S., Thapar V., Verma S., Luong T., Faghri T., Huang CH., Rajasekaran S., del Campo JJ., Shinn JH., Mohler WA., Maciejewski MW., Gryk MR., Piccirillo B., Schiller SR., Schiller MR.,","journal":"Nat. Methods","doi":"10.1038/nmeth856","created_at":"2021-09-30T08:22:30.089Z","updated_at":"2021-09-30T08:22:30.089Z"},{"id":89,"pubmed_id":18429315,"title":"Minimotif miner: a computational tool to investigate protein function, disease, and genetic diversity.","year":2008,"url":"http://doi.org/10.1002/0471140864.ps0212s48","authors":"Schiller MR.,","journal":"Curr Protoc Protein Sci","doi":"10.1002/0471140864.ps0212s48","created_at":"2021-09-30T08:22:30.183Z","updated_at":"2021-09-30T08:22:30.183Z"},{"id":93,"pubmed_id":18508672,"title":"Viral infection and human disease--insights from minimotifs.","year":2008,"url":"http://doi.org/10.2741/3166","authors":"Kadaveru K., Vyas J., Schiller MR.,","journal":"Front. Biosci.","doi":"10.2741/3166","created_at":"2021-09-30T08:22:30.555Z","updated_at":"2021-09-30T08:22:30.555Z"},{"id":94,"pubmed_id":19656396,"title":"A proposed syntax for Minimotif Semantics, version 1.","year":2009,"url":"http://doi.org/10.1186/1471-2164-10-360","authors":"Vyas J., Nowling RJ., Maciejewski MW., Rajasekaran S., Gryk MR., Schiller MR.,","journal":"BMC Genomics","doi":"10.1186/1471-2164-10-360","created_at":"2021-09-30T08:22:30.646Z","updated_at":"2021-09-30T08:22:30.646Z"},{"id":110,"pubmed_id":20938975,"title":"A computational tool for identifying minimotifs in protein-protein interactions and improving the accuracy of minimotif predictions.","year":2010,"url":"http://doi.org/10.1002/prot.22868","authors":"Rajasekaran S., Merlin JC., Kundeti V., Mi T., Oommen A., Vyas J., Alaniz I., Chung K., Chowdhury F., Deverasatty S., Irvey TM., Lacambacal D., Lara D., Panchangam S., Rathnayake V., Watts P., Schiller MR.,","journal":"Proteins","doi":"10.1002/prot.22868","created_at":"2021-09-30T08:22:32.181Z","updated_at":"2021-09-30T08:22:32.181Z"},{"id":748,"pubmed_id":22146221,"title":"Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences","year":2011,"url":"http://doi.org/10.1093/nar/gkr1189","authors":"Mi T, Merlin JC, Deverasetty S, Gryk MR, Bill TJ, Brooks AW, Lee LY, Rathnayake V, Ross CA, Sargeant DP, Strong CL, Watts P, Rajasekaran S, Schiller MR.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1189","created_at":"2021-09-30T08:23:42.370Z","updated_at":"2021-09-30T08:23:42.370Z"},{"id":1389,"pubmed_id":18978024,"title":"Minimotif miner 2nd release: a database and web system for motif search.","year":2008,"url":"http://doi.org/10.1093/nar/gkn865","authors":"Rajasekaran S., Balla S., Gradie P., Gryk MR., Kadaveru K., Kundeti V., Maciejewski MW., Mi T., Rubino N., Vyas J., Schiller MR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn865","created_at":"2021-09-30T08:24:55.276Z","updated_at":"2021-09-30T08:24:55.276Z"},{"id":1390,"pubmed_id":16328946,"title":"High-performance exact algorithms for motif search.","year":2005,"url":"http://doi.org/10.1007/s10877-005-0677-y","authors":"Rajasekaran S., Balla S., Huang CH., Thapar V., Gryk M., Maciejewski M., Schiller M.,","journal":"J Clin Monit Comput","doi":"10.1007/s10877-005-0677-y","created_at":"2021-09-30T08:24:55.376Z","updated_at":"2021-09-30T08:24:55.376Z"}],"licence_links":[{"licence_name":"MIRTAR is free for academic and non-profit use","licence_id":516,"licence_url":"http://mirtarbase.mbc.nctu.edu.tw/cache/download/LICENSE","link_id":140,"relation":"undefined"}],"grants":[{"id":200,"fairsharing_record_id":1608,"organisation_id":3045,"relation":"maintains","created_at":"2021-09-30T09:24:22.156Z","updated_at":"2021-09-30T09:24:22.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":3045,"name":"University of Connecticut, Connecticut, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":198,"fairsharing_record_id":1608,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:22.085Z","updated_at":"2021-09-30T09:24:22.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":199,"fairsharing_record_id":1608,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:22.123Z","updated_at":"2021-09-30T09:24:22.123Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":201,"fairsharing_record_id":1608,"organisation_id":3046,"relation":"maintains","created_at":"2021-09-30T09:24:22.180Z","updated_at":"2021-09-30T09:24:22.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":3046,"name":"University of Connecticut Health Center, Farmington, Connecticut, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":202,"fairsharing_record_id":1608,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:22.205Z","updated_at":"2021-09-30T09:30:12.488Z","grant_id":599,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM079689-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1620","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:19.720Z","metadata":{"doi":"10.25504/FAIRsharing.hmb1f4","name":"NONCODE","status":"uncertain","contacts":[{"contact_email":"biozy@ict.ac.cn"}],"homepage":"http://www.noncode.org","citations":[{"doi":"10.1093/nar/gkx1107","pubmed_id":29140524,"publication_id":2814}],"identifier":1620,"description":"NONCODE is a database of noncoding RNAs (except tRNAs and rRNAs), including long noncoding (lnc) RNAs. Information contained within the database includes human lncRNA–disease relationships and single nucleotide polymorphism-lncRNA–disease relationships; human exosome lncRNA expression profiles; and predicted RNA secondary structures of human transcripts. This resource has not been updated since 2017, and therefore its status has been marked as Uncertain. Please get in touch if you have any information about the current status of this resource.","abbreviation":"NONCODE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"rschen@ibp.ac.cn","name":"RunSheng Chen","type":"Support email"},{"url":"http://www.noncode.org/faq.php","name":"NONCODE FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.noncode.org/analysis.php","name":"Statistics","type":"Help documentation"},{"url":"http://www.noncode.org/introduce.php","name":"General Documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/NONCODE","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"http://www.noncode.org/blast.php","name":"BLAST"},{"url":"http://www.noncode.org/id_conversion.php","name":"ID Convertor"},{"url":"http://www.noncode.org/iLncRNA.php","name":"iLncRNA (Idenfication)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012169","name":"re3data:r3d100012169","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007822","name":"SciCrunch:RRID:SCR_007822","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000076","bsg-d000076"],"name":"FAIRsharing record for: NONCODE","abbreviation":"NONCODE","url":"https://fairsharing.org/10.25504/FAIRsharing.hmb1f4","doi":"10.25504/FAIRsharing.hmb1f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NONCODE is a database of noncoding RNAs (except tRNAs and rRNAs), including long noncoding (lnc) RNAs. Information contained within the database includes human lncRNA–disease relationships and single nucleotide polymorphism-lncRNA–disease relationships; human exosome lncRNA expression profiles; and predicted RNA secondary structures of human transcripts. This resource has not been updated since 2017, and therefore its status has been marked as Uncertain. Please get in touch if you have any information about the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12587}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics"],"domains":["RNA secondary structure","Expression data","RNA sequence","Function analysis","Gene expression","Extracellular exosome","Long non-coding ribonucleic acid","Non-coding RNA","Long non-coding RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":111,"pubmed_id":15608158,"title":"NONCODE: an integrated knowledge database of non-coding RNAs.","year":2004,"url":"http://doi.org/10.1093/nar/gki041","authors":"Liu C., Bai B., Skogerbø G., Cai L., Deng W., Zhang Y., Bu D., Zhao Y., Chen R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki041","created_at":"2021-09-30T08:22:32.282Z","updated_at":"2021-09-30T08:22:32.282Z"},{"id":114,"pubmed_id":18000000,"title":"NONCODE v2.0: decoding the non-coding.","year":2007,"url":"http://doi.org/10.1093/nar/gkm1011","authors":"He S., Liu C., Skogerbø G., Zhao H., Wang J., Liu T., Bai B., Zhao Y., Chen R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm1011","created_at":"2021-09-30T08:22:32.673Z","updated_at":"2021-09-30T08:22:32.673Z"},{"id":2813,"pubmed_id":26586799,"title":"NONCODE 2016: an informative and valuable data source of long non-coding RNAs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1252","authors":"Zhao Y,Li H,Fang S,Kang Y,Wu W,Hao Y,Li Z,Bu D,Sun N,Zhang MQ,Chen R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1252","created_at":"2021-09-30T08:27:45.894Z","updated_at":"2021-09-30T11:29:45.820Z"},{"id":2814,"pubmed_id":29140524,"title":"NONCODEV5: a comprehensive annotation database for long non-coding RNAs.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1107","authors":"Fang S,Zhang L,Guo J,Niu Y,Wu Y,Li H,Zhao L,Li X,Teng X,Sun X,Sun L,Zhang MQ,Chen R,Zhao Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1107","created_at":"2021-09-30T08:27:46.010Z","updated_at":"2021-09-30T11:29:46.019Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":692,"relation":"undefined"}],"grants":[{"id":249,"fairsharing_record_id":1620,"organisation_id":244,"relation":"maintains","created_at":"2021-09-30T09:24:23.783Z","updated_at":"2021-09-30T09:24:23.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":244,"name":"Bioinformatics Laboratory, Institute of Biophysics, Chinese Academy of Sciences (CAS), Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":247,"fairsharing_record_id":1620,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:23.707Z","updated_at":"2021-09-30T09:29:11.411Z","grant_id":132,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2014AA021103","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":248,"fairsharing_record_id":1620,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:23.751Z","updated_at":"2021-09-30T09:30:37.356Z","grant_id":794,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA01020402","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":251,"fairsharing_record_id":1620,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:24:23.839Z","updated_at":"2021-09-30T09:24:23.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":250,"fairsharing_record_id":1620,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:23.815Z","updated_at":"2021-09-30T09:30:28.573Z","grant_id":727,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"91229120","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8021,"fairsharing_record_id":1620,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:26.495Z","updated_at":"2021-09-30T09:30:26.541Z","grant_id":712,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2014AA021502","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1621","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:21.963Z","metadata":{"doi":"10.25504/FAIRsharing.8ecbxx","name":"NucleaRDB","status":"deprecated","contacts":[{"contact_name":"Florence Horn","contact_email":"horn@cmpharm.ucsf.edu"}],"homepage":"http://www.receptors.org/nucleardb","identifier":1621,"description":"Families of nuclear hormone receptors","abbreviation":"NucleaRDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://en.wikipedia.org/wiki/NucleaRDB","type":"Wikipedia"}],"year_creation":2000,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000077","bsg-d000077"],"name":"FAIRsharing record for: NucleaRDB","abbreviation":"NucleaRDB","url":"https://fairsharing.org/10.25504/FAIRsharing.8ecbxx","doi":"10.25504/FAIRsharing.8ecbxx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Families of nuclear hormone receptors","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science"],"domains":["Sequence annotation","Multiple sequence alignment","Ligand binding domain binding","Mutation analysis","Nuclear receptor","Structure","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":119,"pubmed_id":11125133,"title":"Collecting and harvesting biological data: the GPCRDB and NucleaRDB information systems.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.346","authors":"Horn F., Vriend G., Cohen FE.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.346","created_at":"2021-09-30T08:22:33.155Z","updated_at":"2021-09-30T08:22:33.155Z"},{"id":875,"pubmed_id":22064856,"title":"NucleaRDB: information system for nuclear receptors.","year":2011,"url":"http://doi.org/10.1093/nar/gkr960","authors":"Vroling B,Thorne D,McDermott P,Joosten HJ,Attwood TK,Pettifer S,Vriend G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr960","created_at":"2021-09-30T08:23:56.618Z","updated_at":"2021-09-30T11:28:54.542Z"}],"licence_links":[],"grants":[{"id":253,"fairsharing_record_id":1621,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:23.890Z","updated_at":"2021-09-30T09:30:17.021Z","grant_id":636,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"11371016","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7997,"fairsharing_record_id":1621,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:18.677Z","updated_at":"2021-09-30T09:30:18.723Z","grant_id":650,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"11301194","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":252,"fairsharing_record_id":1621,"organisation_id":3035,"relation":"maintains","created_at":"2021-09-30T09:24:23.865Z","updated_at":"2021-09-30T09:24:23.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":3035,"name":"University of California, San Francisco, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1622","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:03.242Z","metadata":{"doi":"10.25504/FAIRsharing.hsy066","name":"Online GEne Essentiality database","status":"ready","contacts":[{"contact_name":"Wei-Hua Chen","contact_email":"weihuachen@hust.edu.cn"}],"homepage":"https://v3.ogee.info/#/home","citations":[],"identifier":1622,"description":"OGEE is an Online GEne Essentiality database. Gene essentiality is not a static and binary property, rather a context-dependent and evolvable property in all forms of life. In OGEE, we collect not only experimentally tested essential and non-essential genes, but also associated gene properties that contributes to gene essentiality.","abbreviation":"OGEE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://v3.ogee.info/#/help","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000078","bsg-d000078"],"name":"FAIRsharing record for: Online GEne Essentiality database","abbreviation":"OGEE","url":"https://fairsharing.org/10.25504/FAIRsharing.hsy066","doi":"10.25504/FAIRsharing.hsy066","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OGEE is an Online GEne Essentiality database. Gene essentiality is not a static and binary property, rather a context-dependent and evolvable property in all forms of life. In OGEE, we collect not only experimentally tested essential and non-essential genes, but also associated gene properties that contributes to gene essentiality.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12588}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Text mining","Publication","Curated information"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":1805,"pubmed_id":27799467,"title":"OGEE v2: an update of the online gene essentiality database with special focus on differentially essential genes in human cancer cell lines.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1013","authors":"Chen WH,Lu G,Chen X,Zhao XM,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1013","created_at":"2021-09-30T08:25:42.653Z","updated_at":"2021-09-30T11:29:21.002Z"},{"id":3338,"pubmed_id":null,"title":"OGEE v3: Online GEne Essentiality database with increased coverage of organisms and human cell lines","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa884","authors":"Gurumayum, Sanathoi; Jiang, Puzi; Hao, Xiaowen; Campos, Tulio L; Young, Neil D; Korhonen, Pasi K; Gasser, Robin B; Bork, Peer; Zhao, Xing-Ming; He, Li-jie; Chen, Wei-Hua; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa884","created_at":"2022-04-29T14:18:11.212Z","updated_at":"2022-04-29T14:18:11.212Z"},{"id":3339,"pubmed_id":null,"title":"OGEE: an online gene essentiality database","year":2011,"url":"http://dx.doi.org/10.1093/nar/gkr986","authors":"Chen, Wei-Hua; Minguez, Pablo; Lercher, Martin J.; Bork, Peer; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr986","created_at":"2022-04-29T14:18:48.480Z","updated_at":"2022-04-29T14:18:48.480Z"}],"licence_links":[],"grants":[{"id":9478,"fairsharing_record_id":1622,"organisation_id":3497,"relation":"maintains","created_at":"2022-04-29T14:21:03.431Z","updated_at":"2022-04-29T14:21:03.431Z","grant_id":null,"is_lead":true,"saved_state":{"id":3497,"name":"College of Life Science, Henan Normal University","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1609","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:25:54.457Z","metadata":{"doi":"10.25504/FAIRsharing.2bdvmk","name":"Molecular INTeraction Database","status":"ready","contacts":[{"contact_name":"Luana Licata","contact_email":"luana.licata@gmail.com","contact_orcid":"0000-0001-5084-9000"}],"homepage":"http://mint.bio.uniroma2.it","citations":[{"doi":"10.1093/nar/gkr930","pubmed_id":22096227,"publication_id":1747}],"identifier":1609,"description":"MINT focuses on experimentally verified protein-protein interactions mined from the scientific literature by expert curators. This resource uses the IntAct database framework to help reduce the effort of scientists and improve on IT development. MINT is an ELIXIR Core Resource.","abbreviation":"MINT","data_curation":{"type":"manual"},"support_links":[{"url":"mint@mint.bio.uniroma2.it","name":"MINT Helpdesk","type":"Support email"},{"url":"https://mint.bio.uniroma2.it/index.php/statistics/","name":"Statistics","type":"Help documentation"},{"url":"https://mint.bio.uniroma2.it/index.php/sample-page/","name":"About MINT","type":"Help documentation"},{"url":"https://twitter.com/MINT_database","type":"Twitter"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://www.ebi.ac.uk/Tools/webservices/psicquic/view/main.xhtml","name":"PSICQUIC"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010414","name":"re3data:r3d100010414","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001523","name":"SciCrunch:RRID:SCR_001523","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000065","bsg-d000065"],"name":"FAIRsharing record for: Molecular INTeraction Database","abbreviation":"MINT","url":"https://fairsharing.org/10.25504/FAIRsharing.2bdvmk","doi":"10.25504/FAIRsharing.2bdvmk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINT focuses on experimentally verified protein-protein interactions mined from the scientific literature by expert curators. This resource uses the IntAct database framework to help reduce the effort of scientists and improve on IT development. MINT is an ELIXIR Core Resource.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11212},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11321},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11831},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12155},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13375}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein interaction","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":262,"pubmed_id":11911893,"title":"MINT: a Molecular INTeraction database.","year":2002,"url":"http://doi.org/10.1016/s0014-5793(01)03293-8","authors":"Zanzoni A., Montecchi-Palazzi L., Quondam M., Ausiello G., Helmer-Citterich M., Cesareni G.,","journal":"FEBS Lett.","doi":"10.1016/s0014-5793(01)03293-8","created_at":"2021-09-30T08:22:48.303Z","updated_at":"2021-09-30T08:22:48.303Z"},{"id":264,"pubmed_id":17135203,"title":"MINT: the Molecular INTeraction database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl950","authors":"Chatr-aryamontri A., Ceol A., Palazzi LM., Nardelli G., Schneider MV., Castagnoli L., Cesareni G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl950","created_at":"2021-09-30T08:22:48.541Z","updated_at":"2021-09-30T08:22:48.541Z"},{"id":918,"pubmed_id":19897547,"title":"MINT, the molecular interaction database: 2009 update.","year":2009,"url":"http://doi.org/10.1093/nar/gkp983","authors":"Ceol A., Chatr Aryamontri A., Licata L., Peluso D., Briganti L., Perfetto L., Castagnoli L., Cesareni G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp983","created_at":"2021-09-30T08:24:01.371Z","updated_at":"2021-09-30T08:24:01.371Z"},{"id":1747,"pubmed_id":22096227,"title":"MINT, the molecular interaction database: 2012 update.","year":2011,"url":"http://doi.org/10.1093/nar/gkr930","authors":"Licata L,Briganti L,Peluso D,Perfetto L,Iannuccelli M,Galeota E,Sacco F,Palma A,Nardozza AP,Santonico E,Castagnoli L,Cesareni G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr930","created_at":"2021-09-30T08:25:36.060Z","updated_at":"2021-09-30T11:29:19.669Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.5 Generic (CC BY 2.5)","licence_id":161,"licence_url":"https://creativecommons.org/licenses/by/2.5/","link_id":149,"relation":"undefined"}],"grants":[{"id":206,"fairsharing_record_id":1609,"organisation_id":1316,"relation":"maintains","created_at":"2021-09-30T09:24:22.343Z","updated_at":"2021-09-30T09:24:22.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":1316,"name":"IMex Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":209,"fairsharing_record_id":1609,"organisation_id":844,"relation":"maintains","created_at":"2021-09-30T09:24:22.465Z","updated_at":"2021-09-30T09:24:22.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":204,"fairsharing_record_id":1609,"organisation_id":679,"relation":"maintains","created_at":"2021-09-30T09:24:22.262Z","updated_at":"2021-09-30T09:24:22.262Z","grant_id":null,"is_lead":true,"saved_state":{"id":679,"name":"Department of Biology, University of Rome Tor Vergata, Rome, Italy","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":208,"fairsharing_record_id":1609,"organisation_id":946,"relation":"funds","created_at":"2021-09-30T09:24:22.427Z","updated_at":"2021-09-30T09:24:22.427Z","grant_id":null,"is_lead":false,"saved_state":{"id":946,"name":"European Network of Excellence (ENFIN), Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":203,"fairsharing_record_id":1609,"organisation_id":1565,"relation":"funds","created_at":"2021-09-30T09:24:22.229Z","updated_at":"2021-09-30T09:29:32.470Z","grant_id":291,"is_lead":false,"saved_state":{"id":1565,"name":"Italian Association for Cancer Research (AIRC), Milan, Italy","grant":"10360","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":207,"fairsharing_record_id":1609,"organisation_id":961,"relation":"funds","created_at":"2021-09-30T09:24:22.386Z","updated_at":"2021-09-30T09:30:13.695Z","grant_id":609,"is_lead":false,"saved_state":{"id":961,"name":"European Union FP6 Interaction Proteome project","grant":"QLRI-CT-2000-00127","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9051,"fairsharing_record_id":1609,"organisation_id":2727,"relation":"funds","created_at":"2022-03-28T14:16:27.546Z","updated_at":"2022-03-28T14:16:27.546Z","grant_id":539,"is_lead":false,"saved_state":{"id":2727,"name":"Telethon Foundation","grant":"GGP09243","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWtFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--510c15975dc1230980be8f18f0a605fb9b71ac9f/cropped-mint-1-e1509905882312.png?disposition=inline","exhaustive_licences":false}},{"id":"1610","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:25.264Z","metadata":{"doi":"10.25504/FAIRsharing.yd76dk","name":"Major Intrinsic Proteins Modification Database","status":"ready","contacts":[{"contact_name":"R. SankaraRamakrishnan","contact_email":"rsankar@iitk.ac.in"}],"homepage":"http://bioinfo.iitk.ac.in/MIPModDB/","citations":[{"doi":"10.1093/nar/gkr914","pubmed_id":22080560,"publication_id":2418}],"identifier":1610,"description":"This is a database of comparative protein structure models of the MIP (Major Intrinsic Protein) family of proteins. The MIPs have been identified from the completed genome sequence of organisms available at NCBI.","abbreviation":"MIPModDB","data_curation":{"url":"http://bioinfo.iitk.ac.in/MIPModDB/index.html","type":"automated","notes":"The structural models of MIP proteins were created by defined protocol."},"support_links":[{"url":"http://bioinfo.iitk.ac.in/MIPModDB/feedback.html","name":"Contact Form","type":"Contact form"},{"url":"http://bioinfo.iitk.ac.in/MIPModDB/help.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://bioinfo.iitk.ac.in/MIPModDB/statistics.php","name":"Statistics","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/MIPModDB","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":2007,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000066","bsg-d000066"],"name":"FAIRsharing record for: Major Intrinsic Proteins Modification Database","abbreviation":"MIPModDB","url":"https://fairsharing.org/10.25504/FAIRsharing.yd76dk","doi":"10.25504/FAIRsharing.yd76dk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a database of comparative protein structure models of the MIP (Major Intrinsic Protein) family of proteins. The MIPs have been identified from the completed genome sequence of organisms available at NCBI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenetics","Life Science"],"domains":["Structure-based sequence alignment","Gene feature","Gene","Homologous"],"taxonomies":["All"],"user_defined_tags":["Channel radius profile","NPA substitution","Selectively filter residues"],"countries":["India"],"publications":[{"id":1317,"pubmed_id":19930558,"title":"Genome-wide analysis of major intrinsic proteins in the tree plant Populus trichocarpa: characterization of XIP subfamily of aquaporins from evolutionary perspective.","year":2009,"url":"http://doi.org/10.1186/1471-2229-9-134","authors":"Gupta AB., Sankararamakrishnan R.,","journal":"BMC Plant Biol.","doi":"10.1186/1471-2229-9-134","created_at":"2021-09-30T08:24:47.126Z","updated_at":"2021-09-30T08:24:47.126Z"},{"id":1948,"pubmed_id":17445256,"title":"Homology modeling of major intrinsic proteins in rice, maize and Arabidopsis: comparative analysis of transmembrane helix association and aromatic/arginine selectivity filters.","year":2007,"url":"http://doi.org/10.1186/1472-6807-7-27","authors":"Bansal A., Sankararamakrishnan R.,","journal":"BMC Struct. Biol.","doi":"10.1186/1472-6807-7-27","created_at":"2021-09-30T08:25:59.180Z","updated_at":"2021-09-30T08:25:59.180Z"},{"id":2418,"pubmed_id":22080560,"title":"MIPModDB: a central resource for the superfamily of major intrinsic proteins.","year":2011,"url":"http://doi.org/10.1093/nar/gkr914","authors":"Gupta AB,Verma RK,Agarwal V,Vajpai M,Bansal V,Sankararamakrishnan R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr914","created_at":"2021-09-30T08:26:56.750Z","updated_at":"2021-09-30T11:29:35.444Z"}],"licence_links":[],"grants":[{"id":210,"fairsharing_record_id":1610,"organisation_id":1335,"relation":"maintains","created_at":"2021-09-30T09:24:22.498Z","updated_at":"2021-09-30T09:24:22.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":1335,"name":"Indian Institute of Technology Kanpur, India","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1611","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:22.765Z","metadata":{"doi":"10.25504/FAIRsharing.q3b39v","name":"mirEX","status":"ready","contacts":[{"contact_name":"Zofia Szweykowska-Kulinska","contact_email":"zofszwey@amu.edu.pl"}],"homepage":"http://www.comgen.pl/mirex/","citations":[],"identifier":1611,"description":"mirEX2 is a comprehensive platform for comparative analysis of primary microRNA expression data. RT–qPCR-based gene expression profiles are stored in a universal and expandable database scheme and wrapped by an intuitive user-friendly interface.","abbreviation":"mirEX","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.combio.pl/mirex2/contact/","type":"Contact form"},{"url":"https://en.wikipedia.org/wiki/Mirex","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000067","bsg-d000067"],"name":"FAIRsharing record for: mirEX","abbreviation":"mirEX","url":"https://fairsharing.org/10.25504/FAIRsharing.q3b39v","doi":"10.25504/FAIRsharing.q3b39v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mirEX2 is a comprehensive platform for comparative analysis of primary microRNA expression data. RT–qPCR-based gene expression profiles are stored in a universal and expandable database scheme and wrapped by an intuitive user-friendly interface.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12584}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","RNA sequence","Primer","Micro RNA","Pre-miRNA (pre-microRNA)"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Poland"],"publications":[{"id":1555,"pubmed_id":22013167,"title":"mirEX: a platform for comparative exploration of plant pri-miRNA expression data.","year":2011,"url":"http://doi.org/10.1093/nar/gkr878","authors":"Bielewicz D,Dolata J,Zielezinski A,Alaba S,Szarzynska B,Szczesniak MW,Jarmolowski A,Szweykowska-Kulinska Z,Karlowski WM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr878","created_at":"2021-09-30T08:25:14.392Z","updated_at":"2021-09-30T11:29:13.701Z"},{"id":1575,"pubmed_id":26141515,"title":"mirEX 2.0 - an integrated environment for expression profiling of plant microRNAs.","year":2015,"url":"http://doi.org/10.1186/s12870-015-0533-2","authors":"Zielezinski A,Dolata J,Alaba S,Kruszka K,Pacak A,Swida-Barteczka A,Knop K,Stepien A,Bielewicz D,Pietrykowska H,Sierocka I,Sobkowiak L,Lakomiak A,Jarmolowski A,Szweykowska-Kulinska Z,Karlowski WM","journal":"BMC Plant Biol","doi":"10.1186/s12870-015-0533-2","created_at":"2021-09-30T08:25:16.569Z","updated_at":"2021-09-30T08:25:16.569Z"}],"licence_links":[],"grants":[{"id":212,"fairsharing_record_id":1611,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:22.552Z","updated_at":"2021-09-30T09:24:22.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8017,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:25.090Z","updated_at":"2021-09-30T09:30:25.137Z","grant_id":702,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2012/05/N/NZ2/00955","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8423,"fairsharing_record_id":1611,"organisation_id":1042,"relation":"funds","created_at":"2021-09-30T09:32:34.185Z","updated_at":"2021-09-30T09:32:34.242Z","grant_id":1678,"is_lead":false,"saved_state":{"id":1042,"name":"Foundation for Polish Science, Warsaw, Poland","grant":"MPD/2013/3","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":211,"fairsharing_record_id":1611,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:22.521Z","updated_at":"2021-09-30T09:24:22.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":215,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:24:22.643Z","updated_at":"2021-09-30T09:29:20.753Z","grant_id":205,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2011/03/B/NZ2/01416","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":213,"fairsharing_record_id":1611,"organisation_id":2820,"relation":"funds","created_at":"2021-09-30T09:24:22.584Z","updated_at":"2021-09-30T09:30:42.639Z","grant_id":833,"is_lead":false,"saved_state":{"id":2820,"name":"The Polish Ministry of Science and Higher Education","grant":"3011/B/P01/2009/37","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":216,"fairsharing_record_id":1611,"organisation_id":1042,"relation":"funds","created_at":"2021-09-30T09:24:22.673Z","updated_at":"2021-09-30T09:31:24.542Z","grant_id":1156,"is_lead":false,"saved_state":{"id":1042,"name":"Foundation for Polish Science, Warsaw, Poland","grant":"POMOST/2012-5/7","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":214,"fairsharing_record_id":1611,"organisation_id":2350,"relation":"funds","created_at":"2021-09-30T09:24:22.614Z","updated_at":"2021-09-30T09:32:09.862Z","grant_id":1496,"is_lead":false,"saved_state":{"id":2350,"name":"Poznan RNA Centre, Poland","grant":"01/KNOW2/2014","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7931,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:29:54.567Z","updated_at":"2021-09-30T09:29:54.610Z","grant_id":463,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2012/05/N/NZ2/00880","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7951,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:02.460Z","updated_at":"2021-09-30T09:30:02.511Z","grant_id":526,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2013/10/A/NZ1/00557","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7970,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:09.610Z","updated_at":"2021-09-30T09:30:09.665Z","grant_id":578,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2011/03/N/NZ2/01440","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8049,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:38.968Z","updated_at":"2021-09-30T09:30:39.011Z","grant_id":806,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2012/04/M/NZ2/00127","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8131,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:31:07.130Z","updated_at":"2021-09-30T09:31:07.176Z","grant_id":1025,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"0028/B/P/1/2009/37","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8149,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:31:11.905Z","updated_at":"2021-09-30T09:31:11.956Z","grant_id":1059,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2014/12/T/NZ2/00246","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8214,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:31:34.823Z","updated_at":"2021-09-30T09:31:34.868Z","grant_id":1234,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2011/03/N/NZ2/03147","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8421,"fairsharing_record_id":1611,"organisation_id":1042,"relation":"funds","created_at":"2021-09-30T09:32:33.877Z","updated_at":"2021-09-30T09:32:33.927Z","grant_id":1676,"is_lead":false,"saved_state":{"id":1042,"name":"Foundation for Polish Science, Warsaw, Poland","grant":"MPD/2013/7","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9380,"fairsharing_record_id":1611,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:34.411Z","updated_at":"2022-04-11T12:07:34.432Z","grant_id":736,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"WND-POIG.01.03.01-00-101/08","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9382,"fairsharing_record_id":1611,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:34.566Z","updated_at":"2022-04-11T12:07:34.582Z","grant_id":846,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"MPD 2010/3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1614","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-23T17:50:45.412Z","metadata":{"doi":"10.25504/FAIRsharing.ekzmjp","name":"modMine","status":"deprecated","contacts":[{"contact_name":"Gos Micklem","contact_email":"g.micklem@gen.cam.ac.uk"}],"homepage":"http://intermine.modencode.org/","citations":[{"doi":"10.1093/nar/gkr921","pubmed_id":22080565,"publication_id":1466}],"identifier":1614,"description":"modMine is an integrated web resource of data and tools to browse and search modENCODE data and experimental details, download results and access the GBrowse genome browser.","abbreviation":"modMine","data_curation":{},"support_links":[{"url":"http://www.modencode.org/publications/faq/","name":"modMine FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.modencode.org/quickstart/","name":"modMine Quick Start Guide","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://intermine.modencode.org/release-33/customQuery.do","name":"Query Builder"}],"deprecation_date":"2023-02-22","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000070","bsg-d000070"],"name":"FAIRsharing record for: modMine","abbreviation":"modMine","url":"https://fairsharing.org/10.25504/FAIRsharing.ekzmjp","doi":"10.25504/FAIRsharing.ekzmjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: modMine is an integrated web resource of data and tools to browse and search modENCODE data and experimental details, download results and access the GBrowse genome browser.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11670},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12585}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Citation","Protein domain","DNA sequence data","Gene Ontology enrichment","Computational biological predictions","Gene model annotation","Chromatin immunoprecipitation - DNA sequencing","Chromatin immunoprecipitation - DNA microarray","Phenotype","Protein","Binding site","Orthologous"],"taxonomies":["Caenorhabditis elegans","Drosophila ananassae","Drosophila melanogaster","Drosophila mojavensis","Drosophila pseudoobscura","Drosophila simulans","Drosophila virilis","Drosophila yakuba"],"user_defined_tags":[],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":117,"pubmed_id":19536255,"title":"Unlocking the secrets of the genome.","year":2009,"url":"http://doi.org/10.1038/459927a","authors":"Celniker SE., Dillon LA., Gerstein MB., Gunsalus KC., Henikoff S., Karpen GH., Kellis M., Lai EC., Lieb JD., MacAlpine DM., Micklem G., Piano F., Snyder M., Stein L., White KP., Waterston RH.,","journal":"Nature","doi":"10.1038/459927a","created_at":"2021-09-30T08:22:32.972Z","updated_at":"2021-09-30T08:22:32.972Z"},{"id":1465,"pubmed_id":21177974,"title":"Identification of functional elements and regulatory circuits by Drosophila modENCODE.","year":2010,"url":"http://doi.org/10.1126/science.1198374","authors":"Roy S., et al.","journal":"Science","doi":"10.1126/science.1198374","created_at":"2021-09-30T08:25:03.987Z","updated_at":"2021-09-30T08:25:03.987Z"},{"id":1466,"pubmed_id":22080565,"title":"modMine: flexible access to modENCODE data","year":2011,"url":"http://doi.org/10.1093/nar/gkr921","authors":"Contrino S, Smith RN, Butano D, Carr A, Hu F, Lyne R, Rutherford K, Kalderimis A, Sullivan J, Carbon S, Kephart ET, Lloyd P, Stinson EO, Washington NL, Perry MD, Ruzanov P, Zha Z, Lewis SE, Stein LD, Micklem G.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr921","created_at":"2021-09-30T08:25:04.094Z","updated_at":"2021-09-30T08:25:04.094Z"},{"id":2430,"pubmed_id":21177976,"title":"Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project.","year":2010,"url":"http://doi.org/10.1126/science.1196914","authors":"Gerstein MB., et al.","journal":"Science","doi":"10.1126/science.1196914","created_at":"2021-09-30T08:26:58.169Z","updated_at":"2021-09-30T08:26:58.169Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":231,"relation":"undefined"}],"grants":[{"id":231,"fairsharing_record_id":1614,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:24:23.111Z","updated_at":"2021-09-30T09:24:23.111Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":234,"fairsharing_record_id":1614,"organisation_id":713,"relation":"maintains","created_at":"2021-09-30T09:24:23.229Z","updated_at":"2021-09-30T09:24:23.229Z","grant_id":null,"is_lead":true,"saved_state":{"id":713,"name":"Department of Genetics, University of Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":229,"fairsharing_record_id":1614,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:23.028Z","updated_at":"2021-09-30T09:24:23.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":230,"fairsharing_record_id":1614,"organisation_id":1470,"relation":"maintains","created_at":"2021-09-30T09:24:23.070Z","updated_at":"2021-09-30T09:24:23.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":1470,"name":"InterMine, System Biology Centre, Cambridge, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":232,"fairsharing_record_id":1614,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:23.149Z","updated_at":"2021-09-30T09:24:23.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":233,"fairsharing_record_id":1614,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:23.187Z","updated_at":"2021-09-30T09:24:23.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1615","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:40:08.119Z","metadata":{"doi":"10.25504/FAIRsharing.940ayh","name":"Model Organism Protein Expression Database","status":"deprecated","contacts":[{"contact_name":"Eugene Kolker","contact_email":"eugene.kolker@seattlechildrens.org"}],"homepage":"http://moped.proteinspire.org","identifier":1615,"description":"Model Organism Protein Expression Database is a collection of data on protein expression sequence used in the study of clinical research.","abbreviation":"MOPED","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"yes","deprecation_date":"2019-08-13","deprecation_reason":"This database does not appear to be available online.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000071","bsg-d000071"],"name":"FAIRsharing record for: Model Organism Protein Expression Database","abbreviation":"MOPED","url":"https://fairsharing.org/10.25504/FAIRsharing.940ayh","doi":"10.25504/FAIRsharing.940ayh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Model Organism Protein Expression Database is a collection of data on protein expression sequence used in the study of clinical research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1092,"pubmed_id":22139914,"title":"MOPED: Model Organism Protein Expression Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1177","authors":"Kolker E,Higdon R,Haynes W,Welch D,Broomall W,Lancet D,Stanberry L,Kolker N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1177","created_at":"2021-09-30T08:24:20.913Z","updated_at":"2021-09-30T11:28:58.386Z"},{"id":1862,"pubmed_id":24910945,"title":"MOPED 2.5--an integrated multi-omics resource: multi-omics profiling expression database now includes transcriptomics data.","year":2014,"url":"http://doi.org/10.1089/omi.2014.0061","authors":"Montague E,Stanberry L,Higdon R,Janko I,Lee E,Anderson N,Choiniere J,Stewart E,Yandl G,Broomall W,Kolker N,Kolker E","journal":"OMICS","doi":"10.1089/omi.2014.0061","created_at":"2021-09-30T08:25:49.189Z","updated_at":"2021-09-30T08:25:49.189Z"}],"licence_links":[],"grants":[{"id":237,"fairsharing_record_id":1615,"organisation_id":2453,"relation":"funds","created_at":"2021-09-30T09:24:23.348Z","updated_at":"2021-09-30T09:24:23.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":2453,"name":"Robert B McMillen Foundation","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":238,"fairsharing_record_id":1615,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:23.378Z","updated_at":"2021-09-30T09:29:39.486Z","grant_id":346,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"U01DK072473","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":236,"fairsharing_record_id":1615,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:23.321Z","updated_at":"2021-09-30T09:32:18.553Z","grant_id":1559,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0969929","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8113,"fairsharing_record_id":1615,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:31:01.505Z","updated_at":"2021-09-30T09:31:01.546Z","grant_id":982,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"U01DK089571","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1612","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-28T10:26:50.141Z","metadata":{"doi":"10.25504/FAIRsharing.n14rc8","name":"Identifiers.org Central Registry","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"identifiers-org@ebi.ac.uk"}],"homepage":"https://registry.identifiers.org/","citations":[{"doi":"10.1038/sdata.2018.29","pubmed_id":29737976,"publication_id":2751}],"identifier":1612,"description":"The Identifiers.org Central Registry provides the necessary information for the generation and resolution of unique and perennial identifiers for life science data. Those identifiers are both in URI and compact form, and make use of Identifiers.org to provide direct access to the identified data records on the Web. Resource maintainers request an Identifiers.org prefix for their databases or services.","abbreviation":null,"data_curation":{"url":"https://docs.identifiers.org/pages/faq.html#questions-about-users-and-curators","type":"manual"},"support_links":[{"url":"https://docs.identifiers.org/pages/faq.html","name":"Identifiers.org FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/identifiers-org/identifiers-org.github.io/issues/","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://docs.identifiers.org/pages/metadata_service.html","name":"Metadata Service","type":"Help documentation"},{"url":"https://docs.identifiers.org/","name":"Documentation","type":"Help documentation"},{"url":"https://docs.identifiers.org/","name":"Key Facts","type":"Help documentation"},{"url":"https://docs.identifiers.org/pages/identification_scheme.html","name":"Identification Scheme","type":"Help documentation"},{"url":"https://docs.identifiers.org/pages/resolving_mechanisms.html","name":"Resolving Mechanisms","type":"Help documentation"},{"url":"https://twitter.com/IdentifiersOrg","name":"@IdentifiersOrg","type":"Twitter"}],"year_creation":2006,"data_versioning":"no","associated_tools":[{"url":"https://github.com/identifiers-org/cloud-libapi","name":"Java library for identifiers.org Web Services"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://registry.identifiers.org/prefixregistrationrequest","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000068","bsg-d000068"],"name":"FAIRsharing record for: Identifiers.org Central Registry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.n14rc8","doi":"10.25504/FAIRsharing.n14rc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Identifiers.org Central Registry provides the necessary information for the generation and resolution of unique and perennial identifiers for life science data. Those identifiers are both in URI and compact form, and make use of Identifiers.org to provide direct access to the identified data records on the Web. Resource maintainers request an Identifiers.org prefix for their databases or services.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11322},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11518},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11886},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12239},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17990}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Resource metadata","Data identity and mapping","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":362,"pubmed_id":18078503,"title":"MIRIAM Resources: tools to generate and resolve robust cross-references in Systems Biology.","year":2007,"url":"http://doi.org/10.1186/1752-0509-1-58","authors":"Laibe C., Le Novere N.,","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-1-58","created_at":"2021-09-30T08:22:58.900Z","updated_at":"2021-09-30T08:22:58.900Z"},{"id":1282,"pubmed_id":22140103,"title":"Identifiers.org and MIRIAM Registry: community resources to provide persistent identification.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1097","authors":"Juty N,Le Novere N,Laibe C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1097","created_at":"2021-09-30T08:24:43.090Z","updated_at":"2021-09-30T11:29:05.368Z"},{"id":2751,"pubmed_id":29737976,"title":"Uniform resolution of compact identifiers for biomedical data.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.29","authors":"Wimalaratne SM,Juty N,Kunze J,Janee G,McMurry JA,Beard N,Jimenez R,Grethe JS,Hermjakob H,Martone ME,Clark T","journal":"Sci Data","doi":"10.1038/sdata.2018.29","created_at":"2021-09-30T08:27:38.148Z","updated_at":"2021-09-30T08:27:38.148Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":38,"relation":"undefined"},{"licence_name":"Identifiers.org Licence and Disclaimer","licence_id":422,"licence_url":"https://docs.identifiers.org/articles/docs/terms_of_use.html","link_id":42,"relation":"undefined"}],"grants":[{"id":219,"fairsharing_record_id":1612,"organisation_id":2858,"relation":"funds","created_at":"2021-09-30T09:24:22.747Z","updated_at":"2021-09-30T09:24:22.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":2858,"name":"THOR, European Union","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":222,"fairsharing_record_id":1612,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:22.821Z","updated_at":"2021-09-30T09:24:22.821Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":225,"fairsharing_record_id":1612,"organisation_id":873,"relation":"funds","created_at":"2021-09-30T09:24:22.897Z","updated_at":"2021-09-30T09:24:22.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":218,"fairsharing_record_id":1612,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:22.721Z","updated_at":"2021-09-30T09:24:22.721Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":220,"fairsharing_record_id":1612,"organisation_id":993,"relation":"funds","created_at":"2021-09-30T09:24:22.771Z","updated_at":"2021-09-30T09:24:22.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":993,"name":"FAIRplus","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":223,"fairsharing_record_id":1612,"organisation_id":2761,"relation":"funds","created_at":"2021-09-30T09:24:22.847Z","updated_at":"2021-09-30T09:24:22.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":2761,"name":"The CORBEL Project","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":224,"fairsharing_record_id":1612,"organisation_id":1062,"relation":"funds","created_at":"2021-09-30T09:24:22.872Z","updated_at":"2021-09-30T09:24:22.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":1062,"name":"Freya Project, European Union","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":226,"fairsharing_record_id":1612,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:24:22.921Z","updated_at":"2021-09-30T09:24:22.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11551,"fairsharing_record_id":1612,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:50.455Z","updated_at":"2024-03-21T13:58:50.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8b20c2cbc4d9edec6ec7b462e2fba5d722cfed3a/identifiers_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1613","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-09T12:51:49.443Z","metadata":{"doi":"10.25504/FAIRsharing.wx1yak","name":"MitoMiner","status":"deprecated","contacts":[{"contact_name":"Alan J. Robinson","contact_email":"ajr@mrc-mbu.cam.ac.uk"}],"homepage":"http://mitominer.mrc-mbu.cam.ac.uk","citations":[],"identifier":1613,"description":"MitoMiner is an integrated data warehouse of mammalian localisation evidence, phenotypes and diseases. This data has been integrated to allow the creation of sophisticated data mining queries spanning many different sources. It is primarily concerned with data for mammals, zebrafish and yeasts. This resource is currently unavailable.","abbreviation":"MitoMiner","data_curation":{},"support_links":[{"url":"mitominer@mrc-mbu.cam.ac.uk","name":"MitoMiner General Contact","type":"Support email"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/support/faq","name":"MitoMiner FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/support/tutorials","name":"MitoMiner Tutorial","type":"Help documentation"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/support/","name":"MitoMiner News","type":"Help documentation"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/release-4.0/dataCategories.do","name":"Data Sources for MitoMiner","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2009,"data_versioning":"not found","deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000069","bsg-d000069"],"name":"FAIRsharing record for: MitoMiner","abbreviation":"MitoMiner","url":"https://fairsharing.org/10.25504/FAIRsharing.wx1yak","doi":"10.25504/FAIRsharing.wx1yak","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MitoMiner is an integrated data warehouse of mammalian localisation evidence, phenotypes and diseases. This data has been integrated to allow the creation of sophisticated data mining queries spanning many different sources. It is primarily concerned with data for mammals, zebrafish and yeasts. This resource is currently unavailable.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11669}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Phenotype","Protein"],"taxonomies":["Eukaryota"],"user_defined_tags":["Mitochondrial proteomics data"],"countries":["United Kingdom"],"publications":[{"id":107,"pubmed_id":19208617,"title":"MitoMiner, an integrated database for the storage and analysis of mitochondrial proteomics data.","year":2009,"url":"http://doi.org/10.1074/mcp.M800373-MCP200","authors":"Smith AC., Robinson AJ.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M800373-MCP200","created_at":"2021-09-30T08:22:31.896Z","updated_at":"2021-09-30T08:22:31.896Z"},{"id":1450,"pubmed_id":26432830,"title":"MitoMiner v3.1, an update on the mitochondrial proteomics database.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1001","authors":"Smith AC,Robinson AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1001","created_at":"2021-09-30T08:25:02.075Z","updated_at":"2021-09-30T11:29:08.609Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1244,"relation":"undefined"}],"grants":[{"id":228,"fairsharing_record_id":1613,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:22.986Z","updated_at":"2021-09-30T09:24:22.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":227,"fairsharing_record_id":1613,"organisation_id":1905,"relation":"maintains","created_at":"2021-09-30T09:24:22.947Z","updated_at":"2021-09-30T09:24:22.947Z","grant_id":null,"is_lead":true,"saved_state":{"id":1905,"name":"MRC Mitochondrial Biology Unit (MBU), Cambridge, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1599","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:16.860Z","metadata":{"doi":"10.25504/FAIRsharing.d05nwx","name":"IntAct molecular interaction database","status":"ready","contacts":[{"contact_name":"Sandra Orchard","contact_email":"orchard@ebi.ac.uk","contact_orcid":"0000-0002-8878-3972"}],"homepage":"https://www.ebi.ac.uk/intact/home","citations":[{"doi":"10.1093/nar/gkt1115","pubmed_id":24234451,"publication_id":2765}],"identifier":1599,"description":"IntAct provides a freely available, open source database system and analysis tools for protein interaction data. All interactions are derived from literature curation or direct user submissions and are freely available.","abbreviation":"IntAct","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.ebi.ac.uk/support/index.php?query=intact","name":"IntAct Contact Form","type":"Contact form"},{"url":"https://tess.elixir-europe.org/materials/intact-quick-tour","name":"Intact quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intact-the-molecular-interactions-database-at-embl-ebi-webinar","name":"Intact the molecular interactions database at embl ebi webinar","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intact-molecular-interactions-at-embl-ebi","name":"Intact molecular interactions at embl ebi","type":"TeSS links to training materials"},{"url":"https://twitter.com/intact_project","name":"@intact_project","type":"Twitter"},{"url":"https://www.ebi.ac.uk/intact/documentation","name":"Help Documentation","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://wiki.cytoscape.org/Cytoscape_User_Manual/ImportingNetworksFromWebServices","name":"Cytoscape"},{"url":"http://www.ebi.ac.uk/intact/validator","name":"PSI-MI Semantic Validator"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010671","name":"re3data:r3d100010671","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006944","name":"SciCrunch:RRID:SCR_006944","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/intact/documentation/data_submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000054","bsg-d000054"],"name":"FAIRsharing record for: IntAct molecular interaction database","abbreviation":"IntAct","url":"https://fairsharing.org/10.25504/FAIRsharing.d05nwx","doi":"10.25504/FAIRsharing.d05nwx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IntAct provides a freely available, open source database system and analysis tools for protein interaction data. All interactions are derived from literature curation or direct user submissions and are freely available.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10929},{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11211},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11320},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11830},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12296},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12583}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biology"],"domains":["Citation","Protein domain","Gene name","Experimental measurement","Free text","Gene Ontology enrichment","Protein interaction","Binding","Molecular interaction","Protein","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":351,"pubmed_id":14681455,"title":"IntAct: an open source molecular interaction database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh052","authors":"Hermjakob H., Montecchi-Palazzi L., Lewington C. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh052","created_at":"2021-09-30T08:22:57.774Z","updated_at":"2021-09-30T08:22:57.774Z"},{"id":865,"pubmed_id":19850723,"title":"The IntAct molecular interaction database in 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp878","authors":"Aranda B., Achuthan P., Alam-Faruque Y. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp878","created_at":"2021-09-30T08:23:55.555Z","updated_at":"2021-09-30T08:23:55.555Z"},{"id":868,"pubmed_id":17925023,"title":"Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.","year":2007,"url":"http://doi.org/10.1186/1741-7007-5-44","authors":"Kerrien S., Orchard S., Montecchi-Palazzi L. et al.","journal":"BMC Biol.","doi":"10.1186/1741-7007-5-44","created_at":"2021-09-30T08:23:55.889Z","updated_at":"2021-09-30T08:23:55.889Z"},{"id":2294,"pubmed_id":21716279,"title":"PSICQUIC and PSISCORE: accessing and scoring molecular interactions.","year":2011,"url":"http://doi.org/10.1038/nmeth.1637","authors":"Aranda B., Blankenburg H., Kerrien S. et al.","journal":"Nat. Methods","doi":"10.1038/nmeth.1637","created_at":"2021-09-30T08:26:39.956Z","updated_at":"2021-09-30T08:26:39.956Z"},{"id":2765,"pubmed_id":24234451,"title":"The MIntAct project--IntAct as a common curation platform for 11 molecular interaction databases.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1115","authors":"Orchard S,Ammari M,Aranda B et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1115","created_at":"2021-09-30T08:27:39.836Z","updated_at":"2021-09-30T11:29:43.311Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2242,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2241,"relation":"undefined"}],"grants":[{"id":179,"fairsharing_record_id":1599,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:21.460Z","updated_at":"2021-09-30T09:24:21.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":177,"fairsharing_record_id":1599,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:21.389Z","updated_at":"2021-09-30T09:24:21.389Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":178,"fairsharing_record_id":1599,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:21.422Z","updated_at":"2021-09-30T09:24:21.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":181,"fairsharing_record_id":1599,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:21.539Z","updated_at":"2021-09-30T09:32:05.485Z","grant_id":1464,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBSRC MIDAS grant (BB/L024179/1)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9261,"fairsharing_record_id":1599,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.189Z","updated_at":"2022-04-11T12:07:26.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcDRDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--35060191cee27b3f1ab04b820194c198e94ad742/Screenshot%20from%202023-05-25%2014-38-09.png?disposition=inline","exhaustive_licences":true}},{"id":"1850","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-21T15:37:26.679Z","metadata":{"doi":"10.25504/FAIRsharing.dj8nt8","name":"European Nucleotide Archive","status":"ready","contacts":[{"contact_name":"Guy Cochrane","contact_email":"datasubs@ebi.ac.uk","contact_orcid":"0000-0001-7954-7057"},{"contact_name":"Jerry Lanfear","contact_email":"jerry.lanfear@elixir-europe.org","contact_orcid":"0000-0002-8007-5568"}],"homepage":"http://www.ebi.ac.uk/ena","citations":[{"doi":"10.1093/nar/gkw1106","pubmed_id":27899630,"publication_id":2401}],"identifier":1850,"description":"The European Nucleotide Archive (ENA) is a globally comprehensive data resource for nucleotide sequence, spanning raw data, alignments and assemblies, functional and taxonomic annotation and rich contextual data relating to sequenced samples and experimental design. Serving both as the database of record for the output of the world's sequencing activity and as a platform for the management, sharing and publication of sequence data, the ENA provides a portfolio of services for submission, data management, search and retrieval across web and programmatic interfaces. The ENA is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","abbreviation":"ENA","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/ena/browser/support","name":"Support / Feedback Form","type":"Contact form"},{"url":"http://listserver.ebi.ac.uk/mailman/listinfo/ena-announce","name":"ENA Announce","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/ena/about","name":"About ENA","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/european-nucleotide-archive-quick-tour","name":"European nucleotide archive quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/european-nucleotide-archive-ena-an-introduction-webinar","name":"European nucleotide archive ena an introduction webinar","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/european-nucleotide-archive-using-the-primary-nucleotide-sequence-resource","name":"European nucleotide archive using the primary nucleotide sequence resource","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/ebi-metagenomics-portal-submitting-metagenomics-data-to-the-european-nucleotide-archive","name":"Ebi metagenomics portal submitting metagenomics data to the european nucleotide archive","type":"TeSS links to training materials"},{"url":"https://ena-docs.readthedocs.io/en/latest/","name":"Tutorials and Guidelines","type":"Training documentation"},{"url":"https://twitter.com/enasequence","name":"@enasequence","type":"Twitter"}],"year_creation":1980,"data_versioning":"yes","associated_tools":[{"url":"https://www.ebi.ac.uk/ena/software/cram-toolkit","name":"CRAM"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010527","name":"re3data:r3d100010527","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006515","name":"SciCrunch:RRID:SCR_006515","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/ena/browser/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/ena/browser/submit","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000310","bsg-d000310"],"name":"FAIRsharing record for: European Nucleotide Archive","abbreviation":"ENA","url":"https://fairsharing.org/10.25504/FAIRsharing.dj8nt8","doi":"10.25504/FAIRsharing.dj8nt8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Nucleotide Archive (ENA) is a globally comprehensive data resource for nucleotide sequence, spanning raw data, alignments and assemblies, functional and taxonomic annotation and rich contextual data relating to sequenced samples and experimental design. Serving both as the database of record for the output of the world's sequencing activity and as a platform for the management, sharing and publication of sequence data, the ENA provides a portfolio of services for submission, data management, search and retrieval across web and programmatic interfaces. The ENA is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17569},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10939},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11336},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11837},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12636},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12954},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13907},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16203},{"linking_record_name":"EVORA’s Selection of FAIRsharing Referenced Resources for Pandemic Preparedness and Response","linking_record_id":5449,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19704}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Metagenomics","Genomics","Bioinformatics","Data Management","Biodiversity","Transcriptomics"],"domains":["DNA sequence data","Annotation","Sequence annotation","Genomic assembly","Histone","Deoxyribonucleic acid","Ribonucleic acid","Nucleotide","Sequencing","Amino acid sequence","Data storage"],"taxonomies":["All"],"user_defined_tags":["Data coordination"],"countries":["Japan","United States","European Union"],"publications":[{"id":227,"pubmed_id":26615190,"title":"Biocuration of functional annotation at the European nucleotide archive.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1311","authors":"Gibson R,Alako B,Amid C,Cerdeno-Tarraga A,Cleland I,Goodgame N,Ten Hoopen P,Jayathilaka S,Kay S,Leinonen R,Liu X,Pallreddy S,Pakseresht N,Rajan J,Rossello M,Silvester N,Smirnov D,Toribio AL,Vaughan D,Zalunin V,Cochrane G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1311","created_at":"2021-09-30T08:22:44.521Z","updated_at":"2021-09-30T11:28:44.125Z"},{"id":274,"pubmed_id":25404130,"title":"Content discovery and retrieval services at the European Nucleotide Archive.","year":2014,"url":"http://doi.org/10.1093/nar/gku1129","authors":"Silvester N,Alako B,Amid C,Cerdeno-Tarraga A,Cleland I,Gibson R,Goodgame N,Ten Hoopen P,Kay S,Leinonen R,Li W,Liu X,Lopez R,Pakseresht N,Pallreddy S,Plaister S,Radhakrishnan R,Rossello M,Senf A,Smirnov D,Toribio AL,Vaughan D,Zalunin V,Cochrane G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1129","created_at":"2021-09-30T08:22:49.623Z","updated_at":"2021-09-30T11:28:44.591Z"},{"id":822,"pubmed_id":23203883,"title":"Facing growth in the European Nucleotide Archive.","year":2012,"url":"http://doi.org/10.1093/nar/gks1175","authors":"Cochrane G.,Alako B., et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1175","created_at":"2021-09-30T08:23:50.618Z","updated_at":"2021-09-30T11:28:53.175Z"},{"id":1175,"pubmed_id":26657633,"title":"The International Nucleotide Sequence Database Collaboration.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1323","authors":"Cochrane G,Karsch-Mizrachi I,Takagi T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1323","created_at":"2021-09-30T08:24:30.606Z","updated_at":"2021-09-30T11:29:02.034Z"},{"id":2401,"pubmed_id":27899630,"title":"European Nucleotide Archive in 2016.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1106","authors":"Toribio AL.,Alako B., et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1106","created_at":"2021-09-30T08:26:54.759Z","updated_at":"2021-09-30T11:29:34.986Z"},{"id":2468,"pubmed_id":14681351,"title":"The EMBL Nucleotide Sequence Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh120","authors":"Kulikova T,Aldebert P., et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh120","created_at":"2021-09-30T08:27:02.652Z","updated_at":"2021-09-30T11:29:37.053Z"}],"licence_links":[{"licence_name":"ENA Open Access Statement","licence_id":278,"licence_url":"https://www.ebi.ac.uk/ena/standards-and-policies","link_id":2338,"relation":"undefined"}],"grants":[{"id":968,"fairsharing_record_id":1850,"organisation_id":2282,"relation":"funds","created_at":"2021-09-30T09:24:50.855Z","updated_at":"2021-09-30T09:24:50.855Z","grant_id":null,"is_lead":false,"saved_state":{"id":2282,"name":"Oxford Nanopore Technologies, Oxford, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":962,"fairsharing_record_id":1850,"organisation_id":2894,"relation":"funds","created_at":"2021-09-30T09:24:50.621Z","updated_at":"2021-09-30T09:30:00.987Z","grant_id":514,"is_lead":false,"saved_state":{"id":2894,"name":"UK Biotechnology and Biological Sciences Research Council - RNA Central","grant":"NN/J019321/1","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":963,"fairsharing_record_id":1850,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:50.664Z","updated_at":"2021-09-30T09:24:50.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":964,"fairsharing_record_id":1850,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:50.701Z","updated_at":"2021-09-30T09:24:50.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":965,"fairsharing_record_id":1850,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:50.734Z","updated_at":"2021-09-30T09:24:50.734Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":966,"fairsharing_record_id":1850,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:24:50.772Z","updated_at":"2021-09-30T09:24:50.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":959,"fairsharing_record_id":1850,"organisation_id":1262,"relation":"funds","created_at":"2021-09-30T09:24:50.511Z","updated_at":"2021-09-30T09:29:17.542Z","grant_id":180,"is_lead":false,"saved_state":{"id":1262,"name":"Horizon 2020 Programme of the European Union - EMBRIC","grant":"654008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":967,"fairsharing_record_id":1850,"organisation_id":1263,"relation":"funds","created_at":"2021-09-30T09:24:50.813Z","updated_at":"2021-09-30T09:31:47.836Z","grant_id":1330,"is_lead":false,"saved_state":{"id":1263,"name":"Horizon 2020 Programme of the European Union - ENVRI+","grant":"654182","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":960,"fairsharing_record_id":1850,"organisation_id":2892,"relation":"funds","created_at":"2021-09-30T09:24:50.542Z","updated_at":"2021-09-30T09:32:12.577Z","grant_id":1517,"is_lead":false,"saved_state":{"id":2892,"name":"UK Biotechnology and Biological Sciences Research Council - Metagenomics Portal","grant":"BB/M011755/1","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":957,"fairsharing_record_id":1850,"organisation_id":1261,"relation":"funds","created_at":"2021-09-30T09:24:50.434Z","updated_at":"2021-09-30T09:32:34.653Z","grant_id":1682,"is_lead":false,"saved_state":{"id":1261,"name":"Horizon 2020 Programme of the European Union - COMPARE","grant":"643476","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":958,"fairsharing_record_id":1850,"organisation_id":1264,"relation":"funds","created_at":"2021-09-30T09:24:50.471Z","updated_at":"2021-09-30T09:29:30.418Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9201,"fairsharing_record_id":1850,"organisation_id":278,"relation":"funds","created_at":"2022-04-11T12:07:21.563Z","updated_at":"2022-04-11T12:07:21.584Z","grant_id":1582,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/N018354/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBPdz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9558f885de21d2ce8b723a5d0ecbaf3afe054001/ENA_logo_2021.png?disposition=inline","exhaustive_licences":true}},{"id":"1845","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-03T17:19:24.142Z","metadata":{"doi":"10.25504/FAIRsharing.6k0kwd","name":"ArrayExpress","status":"ready","contacts":[{"contact_name":"ArrayExpress Team","contact_email":"arrayexpress@ebi.ac.uk"},{"contact_name":"Annotare - ArrayExpress","contact_email":"annotare@ebi.ac.uk","contact_orcid":null}],"homepage":"https://www.ebi.ac.uk/biostudies/arrayexpress/","citations":[{"doi":"10.1093/nar/gkaa1062","pubmed_id":33211879,"publication_id":4081}],"identifier":1845,"description":"ArrayExpress is a database of functional genomics experiments that can be queried and the data downloaded. ArrayExpress has moved to the BioStudies repository but maintains its distinct data model and submission portal - experiments are submitted directly to ArrayExpress via its own dedicated submission tool Annotare.\nIt includes gene expression data from microarray and high throughput sequencing studies, including single-cell sequencing experiments. Data is collected to MIAME, MINSEQE and minSCe standards and guidelines. ","abbreviation":"ArrayExpress","data_curation":{"url":"https://www.ebi.ac.uk/fg/annotare/about","type":"manual","notes":"All experiments submitted to ArrayExpress are manually curated by trained bioinformaticians."},"support_links":[{"url":"annotare@ebi.ac.uk","name":"Annotare Helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/biostudies/arrayexpress/help","name":"Help Pages","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/arrayexpress/help/contact_us.html","name":"Contact Page","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biostudies/about","name":"About","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/arrayexpress-quick-tour","name":"Arrayexpress quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/arrayexpress-discover-functional-genomics-data-quickly-and-easily","name":"ArrayExpress: Discover functional genomics data quickly and easily","type":"TeSS links to training materials"},{"url":"http://www.ebi.ac.uk/training/online/course/functional-genomics-introduction-embl-ebi-resource-1","name":"Functional genomics at the EBI","type":"Training documentation"},{"url":"https://twitter.com/ArrayExpressEBI","name":"@ArrayExpressEBI","type":"Twitter"},{"url":"https://www.ebi.ac.uk/people/person/alvis-brazma/","name":"Functional Genomics group","type":"Other"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/fg/annotare/","name":"Annotare"},{"url":"http://www.bioconductor.org/packages/release/bioc/html/ArrayExpress.html","name":"ArrayExpress Bioconductor Package"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010222","name":"re3data:r3d100010222","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002964","name":"SciCrunch:RRID:SCR_002964","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/fg/annotare/help/index.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000305","bsg-d000305"],"name":"FAIRsharing record for: ArrayExpress","abbreviation":"ArrayExpress","url":"https://fairsharing.org/10.25504/FAIRsharing.6k0kwd","doi":"10.25504/FAIRsharing.6k0kwd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ArrayExpress is a database of functional genomics experiments that can be queried and the data downloaded. ArrayExpress has moved to the BioStudies repository but maintains its distinct data model and submission portal - experiments are submitted directly to ArrayExpress via its own dedicated submission tool Annotare.\nIt includes gene expression data from microarray and high throughput sequencing studies, including single-cell sequencing experiments. Data is collected to MIAME, MINSEQE and minSCe standards and guidelines. ","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17060},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17076},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10938},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11333},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11834},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12635}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics"],"domains":["Expression data","Experimental measurement","Genotyping","Nucleotide","Gene expression","Methylation","Protocol","Chromatin immunoprecipitation - DNA sequencing","Chromatin immunoprecipitation - DNA microarray","RNA sequencing","DNA microarray","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":353,"pubmed_id":12519949,"title":"ArrayExpress--a public repository for microarray gene expression data at the EBI.","year":2003,"url":"http://doi.org/10.1093/nar/gkg091","authors":"Brazma A., Parkinson H., Sarkans U., Shojatalab M., Vilo J., Abeygunawardena N., Holloway E., Kapushesky M., Kemmeren P., Lara GG., Oezcimen A., Rocca-Serra P., Sansone SA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg091","created_at":"2021-09-30T08:22:57.984Z","updated_at":"2021-09-30T08:22:57.984Z"},{"id":678,"pubmed_id":25361974,"title":"ArrayExpress update-simplifying data submissions.","year":2014,"url":"http://doi.org/10.1093/nar/gku1057","authors":"Kolesnikov N, Hastings E, Keays M, Melnichuk O, Tang YA, Williams E, Dylag M, Kurbatova N, Brandizi M, Burdett T, Megy K, Pilicheva E, Rustici G, Tikhonov A, Parkinson H, Petryszak R, Sarkans U, Brazma A.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1057","created_at":"2021-09-30T08:23:34.741Z","updated_at":"2021-09-30T11:28:48.959Z"},{"id":2603,"pubmed_id":30357387,"title":"ArrayExpress update – from bulk to single-cell expression data","year":2018,"url":"http://doi.org/10.1093/nar/gky964","authors":"Awais Athar, Anja Füllgrabe, Nancy George, Haider Iqbal, Laura Huerta, Ahmed Ali, Catherine Snow, Nuno A Fonseca, Robert Petryszak, Irene Papatheodorou, Ugis Sarkans, Alvis Brazma","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky964","created_at":"2021-09-30T08:27:19.479Z","updated_at":"2021-09-30T08:27:19.479Z"},{"id":4081,"pubmed_id":33211879,"title":"From ArrayExpress to BioStudies.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa1062","authors":"Sarkans U, Füllgrabe A, Ali A, Athar A, Behrangi E, Diaz N, Fexova S, George N, Iqbal H, Kurri S, Munoz J, Rada J, Papatheodorou I, Brazma A","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa1062","created_at":"2024-01-08T15:47:49.076Z","updated_at":"2024-01-08T15:47:49.076Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1709,"relation":"undefined"}],"grants":[{"id":908,"fairsharing_record_id":1845,"organisation_id":1600,"relation":"maintains","created_at":"2021-09-30T09:24:48.635Z","updated_at":"2021-09-30T09:24:48.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":8097,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:30:56.672Z","updated_at":"2021-09-30T09:30:56.732Z","grant_id":946,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"ENGAGE [201413]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":907,"fairsharing_record_id":1845,"organisation_id":1076,"relation":"maintains","created_at":"2021-09-30T09:24:48.606Z","updated_at":"2021-09-30T09:24:48.606Z","grant_id":null,"is_lead":true,"saved_state":{"id":1076,"name":"Functional Genomics Group, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7932,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:29:54.801Z","updated_at":"2021-09-30T09:29:54.850Z","grant_id":465,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"SYBARIS [242220]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":910,"fairsharing_record_id":1845,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:24:48.720Z","updated_at":"2021-09-30T09:31:32.570Z","grant_id":1217,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41 HG003619","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":912,"fairsharing_record_id":1845,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:48.791Z","updated_at":"2021-09-30T09:31:07.966Z","grant_id":1031,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1127112","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":906,"fairsharing_record_id":1845,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:24:48.580Z","updated_at":"2021-09-30T09:28:58.402Z","grant_id":37,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","grant":"U54-HG004028","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8118,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:02.897Z","updated_at":"2021-09-30T09:31:02.949Z","grant_id":992,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"CAGEKID [241669]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8022,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:30:26.978Z","updated_at":"2021-09-30T09:30:27.029Z","grant_id":716,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"SLING [226073]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8461,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:44.577Z","updated_at":"2021-09-30T09:32:44.633Z","grant_id":1758,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"GEUVADIS [261123]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8242,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:41.914Z","updated_at":"2021-09-30T09:31:42.011Z","grant_id":1288,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"Gen2Phen [200754]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8159,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:15.773Z","updated_at":"2021-09-30T09:31:15.819Z","grant_id":1092,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"BioMedBridges [284209]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":911,"fairsharing_record_id":1845,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:48.758Z","updated_at":"2021-09-30T09:24:48.758Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":909,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:48.678Z","updated_at":"2021-09-30T09:29:48.317Z","grant_id":412,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"EurocanPlatform [260791]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10012,"fairsharing_record_id":1845,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.761Z","updated_at":"2022-10-13T09:43:38.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdmtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--252151e1f950bc1d6cb42f15b4175f4d8f8346fc/Logo-ArrayExpress.jpg?disposition=inline","exhaustive_licences":true}},{"id":"1848","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:09.149Z","metadata":{"doi":"10.25504/FAIRsharing.cmw6mm","name":"Europe PubMed Central","status":"ready","contacts":[{"contact_name":"Europe PMC Helpdesk","contact_email":"helpdesk@europepmc.org"}],"homepage":"https://europepmc.org","citations":[{"doi":"10.1093/nar/gkad1085","pubmed_id":37994696,"publication_id":4054}],"identifier":1848,"description":"Europe PubMed Central (Europe PMC) is an on-line database that offers free access to a large and growing collection of biomedical research literature.","abbreviation":"Europe PMC","data_curation":{"type":"not found"},"support_links":[{"url":"https://europepmc.org/feedback","type":"Contact form"},{"url":"helpdesk@europepmc.org","name":"Europe PMC Helpdesk","type":"Support email"},{"url":"https://europepmc.org/Help","name":"Help Pages","type":"Help documentation"},{"url":"https://europepmc.org/Roadmap","name":"Roadmap","type":"Help documentation"},{"url":"https://europepmc.org/Funders/","name":"Funders","type":"Help documentation"},{"url":"https://europepmc.org/Governance","name":"Governance","type":"Help documentation"},{"url":"https://europepmc.org/About","name":"About","type":"Help documentation"},{"url":"https://europepmc.org/RssFeeds","name":"All RSS Feeds","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/europe-pmc-quick-tour","name":"Europe PMC: quick tour","type":"TeSS links to training materials"},{"url":"https://europepmc.org/Outreach","name":"Outreach","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/europe-pmc-get-most-literature-searches","name":"Europe PMC: get the most from literature searches","type":"Training documentation"},{"url":"https://twitter.com/EuropePMC_news","name":"@EuropePMC_news","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Europe_PubMed_Central","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"http://blog.europepmc.org/","type":"Blog/News"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://europepmc.org/orcid/import","name":"ORCID Article Claiming Tool"},{"url":"https://europepmc.org/LabsLink","name":"External Links Service"},{"url":"https://europepmc.org/ArticleStatusMonitor","name":"Article Status Monitor"},{"url":"https://europepmc.org/grantfinder","name":"Grant Finder"},{"url":"https://europepmc.org/AnnotationsSubmission","name":"Annotations Submission Service"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://plus.europepmc.org/home","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000308","bsg-d000308"],"name":"FAIRsharing record for: Europe PubMed Central","abbreviation":"Europe PMC","url":"https://fairsharing.org/10.25504/FAIRsharing.cmw6mm","doi":"10.25504/FAIRsharing.cmw6mm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Europe PubMed Central (Europe PMC) is an on-line database that offers free access to a large and growing collection of biomedical research literature.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11008},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11058},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11335},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11836},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14023},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16204}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Citation","Abstract","Bibliography","Annotation","Text mining","Patent"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":546,"pubmed_id":33180112,"title":"Europe PMC in 2020.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa994","authors":"Ferguson C, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa994","created_at":"2021-09-30T08:23:19.582Z","updated_at":"2021-09-30T11:28:47.250Z"},{"id":1362,"pubmed_id":25378340,"title":"Europe PMC: a full-text literature database for the life sciences and platform for innovation.","year":2014,"url":"http://doi.org/10.1093/nar/gku1061","authors":"Europe PMC Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1061","created_at":"2021-09-30T08:24:52.307Z","updated_at":"2021-09-30T11:29:06.876Z"},{"id":1409,"pubmed_id":29161421,"title":"Europe PMC in 2017.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1005","authors":"Levchenko M, Gou Y ,Graef F, Hamelers A, Huang Z, Ide-Smith M, Iyer A, Kilian O, Katuri J, Kim JH, Marinos N, Nambiar R, Parkin M, Pi X, Rogers F, Talo F, Vartak V, Venkatesan A, McEntyre J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1005","created_at":"2021-09-30T08:24:57.514Z","updated_at":"2021-09-30T11:29:08.059Z"},{"id":2067,"pubmed_id":21062818,"title":"UKPMC: a full text article resource for the life sciences.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1063","authors":"McEntyre JR, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1063","created_at":"2021-09-30T08:26:12.980Z","updated_at":"2021-09-30T11:29:27.794Z"},{"id":4054,"pubmed_id":37994696,"title":"Europe PMC in 2023.","year":2023,"url":"https://europepmc.org/article/MED/37994696","authors":"Rosonovski S, Levchenko M, Bhatnagar R, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkad1085","created_at":"2023-11-29T10:57:44.886Z","updated_at":"2023-11-29T10:57:44.886Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2273,"relation":"undefined"}],"grants":[{"id":8853,"fairsharing_record_id":1848,"organisation_id":2684,"relation":"funds","created_at":"2022-02-10T14:58:31.118Z","updated_at":"2022-02-10T14:58:31.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8754,"fairsharing_record_id":1848,"organisation_id":2614,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.102Z","updated_at":"2022-02-10T11:51:08.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":2614,"name":"Species 2000 Secretariat, Naturalis Biodiversity Center","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":8757,"fairsharing_record_id":1848,"organisation_id":2712,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.125Z","updated_at":"2022-02-10T11:51:08.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Consortium","types":["Consortium","Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}},{"id":8755,"fairsharing_record_id":1848,"organisation_id":2682,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.109Z","updated_at":"2022-02-10T11:51:08.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8756,"fairsharing_record_id":1848,"organisation_id":947,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.123Z","updated_at":"2022-02-10T11:51:08.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":947,"name":"European Organisation for Nuclear Research (CERN), Geneva, Switzerland","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8835,"fairsharing_record_id":1848,"organisation_id":1325,"relation":"funds","created_at":"2022-02-10T13:14:25.764Z","updated_at":"2022-02-10T13:14:25.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":1325,"name":"India Alliance DBT Wellcome","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8837,"fairsharing_record_id":1848,"organisation_id":1812,"relation":"funds","created_at":"2022-02-10T13:14:25.792Z","updated_at":"2022-02-10T13:14:25.792Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8839,"fairsharing_record_id":1848,"organisation_id":1908,"relation":"funds","created_at":"2022-02-10T13:14:25.819Z","updated_at":"2022-02-10T13:14:25.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":1908,"name":"MS Society","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8842,"fairsharing_record_id":1848,"organisation_id":3259,"relation":"funds","created_at":"2022-02-10T13:14:25.847Z","updated_at":"2022-02-10T13:14:25.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":3259,"name":"Worldwide Cancer Research","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8813,"fairsharing_record_id":1848,"organisation_id":908,"relation":"collaborates_on","created_at":"2022-02-10T11:51:08.225Z","updated_at":"2022-02-10T11:51:08.225Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8753,"fairsharing_record_id":1848,"organisation_id":1166,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.092Z","updated_at":"2022-02-10T11:51:08.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":8834,"fairsharing_record_id":1848,"organisation_id":368,"relation":"funds","created_at":"2022-02-10T13:14:25.764Z","updated_at":"2022-02-10T13:14:25.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK Manchester Institute","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8838,"fairsharing_record_id":1848,"organisation_id":2766,"relation":"funds","created_at":"2022-02-10T13:14:25.795Z","updated_at":"2022-02-10T13:14:25.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":2766,"name":"The Dunhill Medical Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8840,"fairsharing_record_id":1848,"organisation_id":2727,"relation":"funds","created_at":"2022-02-10T13:14:25.822Z","updated_at":"2022-02-10T13:14:25.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":2727,"name":"Telethon Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8843,"fairsharing_record_id":1848,"organisation_id":287,"relation":"funds","created_at":"2022-02-10T13:14:25.851Z","updated_at":"2022-02-10T13:14:25.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":287,"name":"Blood Cancer UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8836,"fairsharing_record_id":1848,"organisation_id":503,"relation":"funds","created_at":"2022-02-10T13:14:25.789Z","updated_at":"2022-02-10T13:14:25.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":503,"name":"Chief Scientist Office","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8841,"fairsharing_record_id":1848,"organisation_id":1899,"relation":"funds","created_at":"2022-02-10T13:14:25.845Z","updated_at":"2022-02-10T13:14:25.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":1899,"name":"Motor Neuron Disease Association","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8844,"fairsharing_record_id":1848,"organisation_id":2373,"relation":"funds","created_at":"2022-02-10T13:14:25.893Z","updated_at":"2022-02-10T13:14:25.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2373,"name":"Prostate Cancer UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8854,"fairsharing_record_id":1848,"organisation_id":154,"relation":"funds","created_at":"2022-02-10T14:58:31.223Z","updated_at":"2022-02-10T14:58:31.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":154,"name":"Austrian Science Fund (FWF), Austria","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8855,"fairsharing_record_id":1848,"organisation_id":21,"relation":"funds","created_at":"2022-02-10T14:58:31.252Z","updated_at":"2022-02-10T14:58:31.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":21,"name":"Action on Hearing Loss","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8856,"fairsharing_record_id":1848,"organisation_id":2741,"relation":"funds","created_at":"2022-02-10T14:58:31.279Z","updated_at":"2022-02-10T14:58:31.279Z","grant_id":null,"is_lead":false,"saved_state":{"id":2741,"name":"The Academy of Medical Sciences","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8857,"fairsharing_record_id":1848,"organisation_id":2290,"relation":"funds","created_at":"2022-02-10T14:58:31.307Z","updated_at":"2022-02-10T14:58:31.307Z","grant_id":null,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8858,"fairsharing_record_id":1848,"organisation_id":307,"relation":"funds","created_at":"2022-02-10T14:58:31.334Z","updated_at":"2022-02-10T14:58:31.334Z","grant_id":null,"is_lead":false,"saved_state":{"id":307,"name":"Breast Cancer Now","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8859,"fairsharing_record_id":1848,"organisation_id":115,"relation":"funds","created_at":"2022-02-10T14:58:31.361Z","updated_at":"2022-02-10T14:58:31.361Z","grant_id":null,"is_lead":false,"saved_state":{"id":115,"name":"Arthritis Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8860,"fairsharing_record_id":1848,"organisation_id":1975,"relation":"funds","created_at":"2022-02-10T14:58:31.391Z","updated_at":"2022-02-10T14:58:31.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":1975,"name":"National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs), London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8861,"fairsharing_record_id":1848,"organisation_id":3252,"relation":"funds","created_at":"2022-02-10T14:58:31.423Z","updated_at":"2022-02-10T14:58:31.423Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8862,"fairsharing_record_id":1848,"organisation_id":2003,"relation":"funds","created_at":"2022-02-10T14:58:31.484Z","updated_at":"2022-02-10T14:58:31.484Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8863,"fairsharing_record_id":1848,"organisation_id":1924,"relation":"funds","created_at":"2022-02-10T14:58:31.511Z","updated_at":"2022-02-10T14:58:31.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":1924,"name":"Myrovlytis Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8864,"fairsharing_record_id":1848,"organisation_id":757,"relation":"funds","created_at":"2022-02-10T14:58:31.538Z","updated_at":"2022-02-10T14:58:31.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":757,"name":"Diabetes UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8865,"fairsharing_record_id":1848,"organisation_id":2747,"relation":"funds","created_at":"2022-02-10T14:58:31.567Z","updated_at":"2022-02-10T14:58:31.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8866,"fairsharing_record_id":1848,"organisation_id":2772,"relation":"funds","created_at":"2022-02-10T14:58:31.595Z","updated_at":"2022-02-10T14:58:31.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8867,"fairsharing_record_id":1848,"organisation_id":67,"relation":"funds","created_at":"2022-02-10T14:58:31.623Z","updated_at":"2022-02-10T14:58:31.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":67,"name":"Alzheimers Society","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8868,"fairsharing_record_id":1848,"organisation_id":2854,"relation":"funds","created_at":"2022-02-10T14:58:31.755Z","updated_at":"2022-02-10T14:58:31.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8869,"fairsharing_record_id":1848,"organisation_id":278,"relation":"funds","created_at":"2022-02-10T14:58:31.784Z","updated_at":"2022-02-10T14:58:31.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8870,"fairsharing_record_id":1848,"organisation_id":1752,"relation":"funds","created_at":"2022-02-10T14:58:32.202Z","updated_at":"2022-02-10T14:58:32.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":1752,"name":"Marie Curie","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11113,"fairsharing_record_id":1848,"organisation_id":2130,"relation":"funds","created_at":"2023-11-29T10:56:12.352Z","updated_at":"2023-11-29T10:56:12.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11114,"fairsharing_record_id":1848,"organisation_id":4179,"relation":"funds","created_at":"2023-11-29T10:56:12.354Z","updated_at":"2023-11-29T10:56:12.354Z","grant_id":null,"is_lead":false,"saved_state":{"id":4179,"name":"The European \u0026 Developing Countries Clinical Trials Partnership (EDCTP)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11117,"fairsharing_record_id":1848,"organisation_id":2812,"relation":"funds","created_at":"2023-11-29T10:56:12.881Z","updated_at":"2023-11-29T10:56:12.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11120,"fairsharing_record_id":1848,"organisation_id":4184,"relation":"funds","created_at":"2023-11-29T10:56:13.119Z","updated_at":"2023-11-29T10:56:13.119Z","grant_id":null,"is_lead":false,"saved_state":{"id":4184,"name":"Health and Care Research Wales","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11115,"fairsharing_record_id":1848,"organisation_id":4180,"relation":"funds","created_at":"2023-11-29T10:56:12.449Z","updated_at":"2023-11-29T10:56:12.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":4180,"name":"Pancreatic Cancer UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11121,"fairsharing_record_id":1848,"organisation_id":2263,"relation":"collaborates_on","created_at":"2023-11-29T10:56:13.736Z","updated_at":"2023-11-29T10:56:13.736Z","grant_id":null,"is_lead":false,"saved_state":{"id":2263,"name":"Open Research and Contributor ID Initiative","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":11116,"fairsharing_record_id":1848,"organisation_id":4181,"relation":"funds","created_at":"2023-11-29T10:56:12.688Z","updated_at":"2023-11-29T10:56:12.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":4181,"name":"Medical research foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":951,"fairsharing_record_id":1848,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:50.208Z","updated_at":"2022-02-10T11:52:19.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11118,"fairsharing_record_id":1848,"organisation_id":4182,"relation":"funds","created_at":"2023-11-29T10:56:12.890Z","updated_at":"2023-11-29T10:56:12.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":4182,"name":"MQ: Transforming Mental Health","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11119,"fairsharing_record_id":1848,"organisation_id":4183,"relation":"funds","created_at":"2023-11-29T10:56:13.098Z","updated_at":"2023-11-29T10:56:13.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":4183,"name":"Yorkshire Cancer Research","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUFEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--884bcafc4bda9adda98ec81a3433df8677d7f15c/Europe%20PMC%20Logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1849","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:31:04.172Z","metadata":{"doi":"10.25504/FAIRsharing.2ajtcf","name":"Catalytic Site Atlas","status":"deprecated","contacts":[{"contact_name":"Nicholas Furnham","contact_email":"nickf@ebi.ac.uk","contact_orcid":"0000-0002-7532-1269"}],"homepage":"http://www.ebi.ac.uk/thornton-srv/databases/CSA/","identifier":1849,"description":"The Catalytic Site Atlas (CSA) is a database documenting enzyme active sites and catalytic residues in enzymes of 3D structure. It uses a defined classification for catalytic residues which includes only those residues thought to be directly involved in some aspect of the reaction catalysed by an enzyme.","abbreviation":"CSA","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/CSA_NEW/help.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now obsolete and, together with MACiE (https://fairsharing.org/FAIRsharing.7xkx69), has formed the basis of the M-CSA resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000309","bsg-d000309"],"name":"FAIRsharing record for: Catalytic Site Atlas","abbreviation":"CSA","url":"https://fairsharing.org/10.25504/FAIRsharing.2ajtcf","doi":"10.25504/FAIRsharing.2ajtcf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Catalytic Site Atlas (CSA) is a database documenting enzyme active sites and catalytic residues in enzymes of 3D structure. It uses a defined classification for catalytic residues which includes only those residues thought to be directly involved in some aspect of the reaction catalysed by an enzyme.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Enzyme","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":361,"pubmed_id":14681376,"title":"The Catalytic Site Atlas: a resource of catalytic sites and residues identified in enzymes using structural data.","year":2003,"url":"http://doi.org/10.1093/nar/gkh028","authors":"Porter CT., Bartlett GJ., Thornton JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh028","created_at":"2021-09-30T08:22:58.800Z","updated_at":"2021-09-30T08:22:58.800Z"},{"id":1610,"pubmed_id":24319146,"title":"The Catalytic Site Atlas 2.0: cataloging catalytic sites and residues identified in enzymes.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1243","authors":"Furnham N,Holliday GL,de Beer TA,Jacobsen JO,Pearson WR,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1243","created_at":"2021-09-30T08:25:20.458Z","updated_at":"2021-09-30T11:29:15.745Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1632,"relation":"undefined"}],"grants":[{"id":956,"fairsharing_record_id":1849,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:24:50.396Z","updated_at":"2021-09-30T09:24:50.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":952,"fairsharing_record_id":1849,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:50.232Z","updated_at":"2021-09-30T09:24:50.232Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":955,"fairsharing_record_id":1849,"organisation_id":1836,"relation":"funds","created_at":"2021-09-30T09:24:50.354Z","updated_at":"2021-09-30T09:24:50.354Z","grant_id":null,"is_lead":false,"saved_state":{"id":1836,"name":"Midwest Center for Structural Genomics, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":953,"fairsharing_record_id":1849,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:50.263Z","updated_at":"2021-09-30T09:29:51.693Z","grant_id":439,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"081989/Z/07/A","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":954,"fairsharing_record_id":1849,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:24:50.313Z","updated_at":"2021-09-30T09:30:45.931Z","grant_id":858,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","grant":"DE-AC02-06CH11357","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1846","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:33.908Z","metadata":{"doi":"10.25504/FAIRsharing.paz6mh","name":"BioModels","status":"ready","contacts":[{"contact_name":"BioModels Team","contact_email":"biomodels-cura@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biomodels/","citations":[{"doi":"10.1093/nar/gkz1055","pubmed_id":31701150,"publication_id":2767}],"identifier":1846,"description":"BioModels is a repository of computational models of biological processes. It allows users to search and retrieve mathematical models published in the literature. Many models are manually curated (to ensure reproducibility) and extensively cross-linked to publicly available reference information.","abbreviation":"BioModels","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/biomodels/faq","name":"BioModels FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"biomodels-net-support@lists.sf.net","name":"Support Mailing List","type":"Mailing list"},{"url":"https://lists.sourceforge.net/lists/listinfo/biomodels-net-discuss","name":"BioModels Mailing List","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/biomodels/content/news","name":"News","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biomodels/agedbrain","name":"Model space in neurodegeneration - model landscape map","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/biomodels-database-quick-tour","name":"Biomodels database quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/biomodels/courses","name":"Courses","type":"Training documentation"},{"url":"https://twitter.com/biomodels","name":"@biomodels","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/rdf/services/sparql","name":"SPARQL Querying"},{"url":"https://www.ebi.ac.uk/biomodels/tools/converters/","name":"SBFC Online"},{"url":"https://bitbucket.org/biomodels/biomodelswsclient","name":"Java library for RESTful Web Services"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010789","name":"re3data:r3d100010789","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001993","name":"SciCrunch:RRID:SCR_001993","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ebi.ac.uk/biomodels/model/submission-guidelines-and-agreement","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000306","bsg-d000306"],"name":"FAIRsharing record for: BioModels","abbreviation":"BioModels","url":"https://fairsharing.org/10.25504/FAIRsharing.paz6mh","doi":"10.25504/FAIRsharing.paz6mh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioModels is a repository of computational models of biological processes. It allows users to search and retrieve mathematical models published in the literature. Many models are manually curated (to ensure reproducibility) and extensively cross-linked to publicly available reference information.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17081},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11334},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11835},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12242}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Systems Biology"],"domains":["Mathematical model","Network model","Biological process","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":123,"pubmed_id":29106614,"title":"BioModels: expanding horizons to include more modelling approaches and formats.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1023","authors":"Glont M,Nguyen TVN,Graesslin M,Halke R,Ali R,Schramm J,Wimalaratne SM,Kothamachu VB,Rodriguez N,Swat MJ,Eils J,Eils R,Laibe C,Malik-Sheriff RS,Chelliah V,Le Novere N,Hermjakob H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1023","created_at":"2021-09-30T08:22:33.537Z","updated_at":"2021-09-30T11:28:42.916Z"},{"id":352,"pubmed_id":16381960,"title":"BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems.","year":2005,"url":"http://doi.org/10.1093/nar/gkj092","authors":"Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep JL., Hucka M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj092","created_at":"2021-09-30T08:22:57.883Z","updated_at":"2021-09-30T08:22:57.883Z"},{"id":811,"pubmed_id":26225232,"title":"BioModels: Content, Features, Functionality, and Use.","year":2015,"url":"http://doi.org/10.1002/psp4.3","authors":"Juty N, Ali R, Glont M, Keating S, Rodriguez N, Swat MJ, Wimalaratne SM, Hermjakob H, Le Novère N, Laibe C, Chelliah V.","journal":"CPT Pharmacometrics Syst Pharmacol.","doi":"10.1002/psp4.3","created_at":"2021-09-30T08:23:49.480Z","updated_at":"2021-09-30T08:23:49.480Z"},{"id":2767,"pubmed_id":31701150,"title":"BioModels-15 years of sharing computational models in life science.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1055","authors":"Malik-Sheriff RS,Glont M,Nguyen TVN,Tiwari K,Roberts MG,Xavier A,Vu MT,Men J,Maire M,Kananathan S,Fairbanks EL,Meyer JP,Arankalle C,Varusai TM,Knight-Schrijver V,Li L,Duenas-Roca C,Dass G,Keating SM,Park YM,Buso N,Rodriguez N,Hucka M,Hermjakob H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1055","created_at":"2021-09-30T08:27:40.070Z","updated_at":"2021-09-30T11:29:43.403Z"}],"licence_links":[{"licence_name":"Biomodels Terms of Use","licence_id":81,"licence_url":"http://www.ebi.ac.uk/biomodels-main/termsofuse","link_id":2363,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2364,"relation":"undefined"}],"grants":[{"id":914,"fairsharing_record_id":1846,"organisation_id":2498,"relation":"maintains","created_at":"2021-09-30T09:24:48.866Z","updated_at":"2021-09-30T09:24:48.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":2498,"name":"SBML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":915,"fairsharing_record_id":1846,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:48.903Z","updated_at":"2021-09-30T09:31:22.684Z","grant_id":1142,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"Multimod - BB/N019482/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":913,"fairsharing_record_id":1846,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:48.828Z","updated_at":"2021-09-30T09:24:48.828Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":916,"fairsharing_record_id":1846,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:48.932Z","updated_at":"2021-09-30T09:24:48.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":918,"fairsharing_record_id":1846,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:24:48.987Z","updated_at":"2021-09-30T09:24:48.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":917,"fairsharing_record_id":1846,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:24:48.956Z","updated_at":"2021-09-30T09:30:18.581Z","grant_id":649,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"TransQST - 116030","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":10017,"fairsharing_record_id":1846,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.904Z","updated_at":"2022-10-13T09:43:38.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1847","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:31.976Z","metadata":{"doi":"10.25504/FAIRsharing.e58gcm","name":"Chemical Component Dictionary","status":"ready","contacts":[{"contact_name":"Help desk","contact_email":"pdbehelp@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/pdbe-srv/pdbechem/","identifier":1847,"description":"The Chemical Component Dictionary is an external reference file describing all residue and small molecule components found in Protein Data Bank entries. It contains detailed chemical descriptions for standard and modified amino acids/nucleotides, small molecule ligands, and solvent molecules. Each chemical definition includes descriptions of chemical properties such as stereochemical assignments, aromatic bond assignments, idealized coordinates, chemical descriptors (SMILES \u0026 InChI), and systematic chemical names.","abbreviation":"CCD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/pdbe-srv/pdbechem/doc/chem_comp/help.htm","name":"Help Pages","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe-srv/pdbechem/doc/chem_comp/diagram.htm","name":"Data Model","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/pdbechem-searching-for-small-molecules-and-small-molecule-fragments","name":"PDBeChem: Searching for small molecules and small molecule fragments","type":"TeSS links to training materials"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/pdbe-site/pdbemotif/","name":"PBDe Motif"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000307","bsg-d000307"],"name":"FAIRsharing record for: Chemical Component Dictionary","abbreviation":"CCD","url":"https://fairsharing.org/10.25504/FAIRsharing.e58gcm","doi":"10.25504/FAIRsharing.e58gcm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chemical Component Dictionary is an external reference file describing all residue and small molecule components found in Protein Data Bank entries. It contains detailed chemical descriptions for standard and modified amino acids/nucleotides, small molecule ligands, and solvent molecules. Each chemical definition includes descriptions of chemical properties such as stereochemical assignments, aromatic bond assignments, idealized coordinates, chemical descriptors (SMILES \u0026 InChI), and systematic chemical names.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11770}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry"],"domains":["Chemical structure","Chemical entity","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1598,"pubmed_id":14681397,"title":"E-MSD: an integrated data resource for bioinformatics.","year":2003,"url":"http://doi.org/10.1093/nar/gkh078","authors":"Golovin A,Oldfield TJ,Tate JG,Velankar S,Barton GJ,Boutselakis H,Dimitropoulos D,Fillon J,Hussain A,Ionides JM,John M,Keller PA,Krissinel E,McNeil P,Naim A,Newman R,Pajon A,Pineda J,Rachedi A,Copeland J,Sitnov A,Sobhany S,Suarez-Uruena A,Swaminathan GJ,Tagari M,Tromm S,Vranken W,Henrick K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh078","created_at":"2021-09-30T08:25:19.185Z","updated_at":"2021-09-30T11:29:15.245Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":817,"relation":"undefined"}],"grants":[{"id":920,"fairsharing_record_id":1847,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:49.066Z","updated_at":"2021-09-30T09:24:49.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":919,"fairsharing_record_id":1847,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:49.028Z","updated_at":"2021-09-30T09:24:49.028Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":921,"fairsharing_record_id":1847,"organisation_id":3263,"relation":"maintains","created_at":"2021-09-30T09:24:49.105Z","updated_at":"2021-09-30T09:24:49.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1830","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:05.543Z","metadata":{"doi":"10.25504/FAIRsharing.bsawmk","name":"TropGENE DB","status":"ready","contacts":[{"contact_name":"Chantal Hamelin","contact_email":"chantal.hamelin@cirad.fr"}],"homepage":"http://tropgenedb.cirad.fr/","identifier":1830,"description":"TropGENE DB is a database that manages genetic and genomic information about tropical crops studied by Cirad. The database is organised into crop specific modules.","abbreviation":"TropGENE DB","data_curation":{"url":"http://tropgenedb.cirad.fr/tropgene/JSP/staff.jsp","type":"manual/automated"},"support_links":[{"url":"http://tropgenedb.cirad.fr/tropgene/JSP/gui_doc.jsp","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://tropgenedb.cirad.fr/tropgene/downloads/tropgene_data_submission.pdf","type":"open","notes":"Submission templates (Microsoft Excel files) can be downloaded and filled."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000290","bsg-d000290"],"name":"FAIRsharing record for: TropGENE DB","abbreviation":"TropGENE DB","url":"https://fairsharing.org/10.25504/FAIRsharing.bsawmk","doi":"10.25504/FAIRsharing.bsawmk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TropGENE DB is a database that manages genetic and genomic information about tropical crops studied by Cirad. The database is organised into crop specific modules.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16743}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Gene","Genome","Genotype"],"taxonomies":["Coffea","Elaeis","Gossypium","Hevea","Musa","Oryza","Saccharum officinarum","Theobroma cacao"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":336,"pubmed_id":23161680,"title":"TropGeneDB, the multi-tropical crop information system updated and extended.","year":2012,"url":"http://doi.org/10.1093/nar/gks1105","authors":"Hamelin C., Sempere G., Jouffe V., Ruiz M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1105","created_at":"2021-09-30T08:22:56.133Z","updated_at":"2021-09-30T08:22:56.133Z"},{"id":1492,"pubmed_id":14681435,"title":"TropGENE-DB, a multi-tropical crop information system.","year":2003,"url":"http://doi.org/10.1093/nar/gkh105","authors":"Ruiz M,Rouard M,Raboin LM,Lartaud M,Lagoda P,Courtois B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh105","created_at":"2021-09-30T08:25:07.040Z","updated_at":"2021-09-30T11:29:10.777Z"}],"licence_links":[],"grants":[{"id":860,"fairsharing_record_id":1830,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.788Z","updated_at":"2021-09-30T09:24:46.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1831","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:52.761Z","metadata":{"doi":"10.25504/FAIRsharing.k1p51k","name":"CleanEx","status":"deprecated","contacts":[{"contact_name":"Viviane Praz","contact_email":"Viviane.Praz@epfl.ch"}],"homepage":"http://www.cleanex.isb-sib.ch/","identifier":1831,"description":"CleanEx is a database which provides access to public gene expression data via unique approved gene symbols and which represents heterogeneous expression data produced by different technologies in a way that facilitates joint analysis and cross-dataset comparisons.","abbreviation":"CleanEx","data_curation":{"type":"not found"},"support_links":[{"url":"Philipp.Bucher@epfl.ch","type":"Support email"},{"url":"http://cleanex.vital-it.ch/tutorial","type":"Help documentation"},{"url":"http://cleanex.vital-it.ch/current/CleanEx_manual.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000291","bsg-d000291"],"name":"FAIRsharing record for: CleanEx","abbreviation":"CleanEx","url":"https://fairsharing.org/10.25504/FAIRsharing.k1p51k","doi":"10.25504/FAIRsharing.k1p51k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CleanEx is a database which provides access to public gene expression data via unique approved gene symbols and which represents heterogeneous expression data produced by different technologies in a way that facilitates joint analysis and cross-dataset comparisons.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12632}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1165,"pubmed_id":14681477,"title":"CleanEx: a database of heterogeneous gene expression data based on a consistent gene nomenclature.","year":2003,"url":"http://doi.org/10.1093/nar/gkh107","authors":"Praz V,Jagannathan V,Bucher P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh107","created_at":"2021-09-30T08:24:29.512Z","updated_at":"2021-09-30T11:29:01.701Z"}],"licence_links":[],"grants":[{"id":861,"fairsharing_record_id":1831,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:24:46.825Z","updated_at":"2021-09-30T09:32:46.166Z","grant_id":1769,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31‐063933","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9160,"fairsharing_record_id":1831,"organisation_id":2682,"relation":"maintains","created_at":"2022-04-11T12:07:18.443Z","updated_at":"2022-04-11T12:07:18.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1832","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:42.830Z","metadata":{"doi":"10.25504/FAIRsharing.e4n3an","name":"Information system for G protein-coupled receptors","status":"ready","contacts":[{"contact_name":"David Gloriam","contact_email":"david.gloriam@sund.ku.dk","contact_orcid":"0000-0002-4299-7561"}],"homepage":"https://gpcrdb.org/","citations":[{"doi":"10.1093/nar/gkac1013","pubmed_id":36395823,"publication_id":3746}],"identifier":1832,"description":"The GPCRDB is a molecular-class information system that collects, combines, validates and stores large amounts of heterogenous data on G protein-coupled receptors (GPCRs). The GPCRDB contains data on sequences, ligand binding constants and mutations. In addition, many different types of computationally derived data are stored such as multiple sequence alignments and homology models.","abbreviation":"GPCRdb","data_curation":{"type":"manual"},"support_links":[{"url":"info@gpcrdb.org","name":"General GPCRdb contact address","type":"Support email"},{"url":"http://docs.gpcrdb.org/index.html","name":"GPCRdb documentation and help pages","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCy_OEfBkOdshK9Tsl08nvAw","name":"GPCRdb YouTube channel with updates and demonstrations","type":"Video"},{"url":"https://twitter.com/gpcrdb","name":"@gpcrdb","type":"Twitter"}],"year_creation":1993,"data_versioning":"yes","associated_tools":[{"url":"https://gpcrdb.org/construct/design","name":"Construct Design Tool"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gpcrdb.org/#","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000292","bsg-d000292"],"name":"FAIRsharing record for: Information system for G protein-coupled receptors","abbreviation":"GPCRdb","url":"https://fairsharing.org/10.25504/FAIRsharing.e4n3an","doi":"10.25504/FAIRsharing.e4n3an","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GPCRDB is a molecular-class information system that collects, combines, validates and stores large amounts of heterogenous data on G protein-coupled receptors (GPCRs). The GPCRDB contains data on sequences, ligand binding constants and mutations. In addition, many different types of computationally derived data are stored such as multiple sequence alignments and homology models.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12633}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Molecular biology","Life Science"],"domains":["Protein structure","Structure-based sequence alignment","Drug","Bioactivity","Mutation","Small molecule","Sequence alignment","Protein","Single nucleotide polymorphism","Homologous","Orthologous"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","Netherlands"],"publications":[{"id":103,"pubmed_id":33270898,"title":"GPCRdb in 2021: integrating GPCR sequence, structure and function.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1080","authors":"Kooistra AJ,Mordalski S,Pandy-Szekeres G,Esguerra M,Mamyrbekov A,Munk C,Keseru GM,Gloriam DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1080","created_at":"2021-09-30T08:22:31.494Z","updated_at":"2021-09-30T11:28:42.733Z"},{"id":337,"pubmed_id":21045054,"title":"GPCRDB: information system for G protein-coupled receptors.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1009","authors":"Vroling B., Sanders M., Baakman C., Borrmann A., Verhoeven S., Klomp J., Oliveira L., de Vlieg J., Vriend G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1009","created_at":"2021-09-30T08:22:56.275Z","updated_at":"2021-09-30T08:22:56.275Z"},{"id":1621,"pubmed_id":9399852,"title":"GPCRDB: an information system for G protein-coupled receptors.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.275","authors":"Horn F,Weare J,Beukers MW,Horsch S,Bairoch A,Chen W,Edvardsen O,Campagne F,Vriend G","journal":"Nucleic Acids Research","doi":"10.1093/nar/26.1.275","created_at":"2021-09-30T08:25:21.666Z","updated_at":"2021-09-30T11:29:16.530Z"},{"id":1623,"pubmed_id":12520006,"title":"GPCRDB information system for G protein-coupled receptors.","year":2003,"url":"http://doi.org/10.1093/nar/gkg103","authors":"Horn F,Bettler E,Oliveira L,Campagne F,Cohen FE,Vriend G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg103","created_at":"2021-09-30T08:25:21.934Z","updated_at":"2021-09-30T11:29:16.630Z"},{"id":1632,"pubmed_id":24304901,"title":"GPCRDB: an information system for G protein-coupled receptors.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1255","authors":"Isberg V,Vroling B,van der Kant R,Li K,Vriend G,Gloriam D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1255","created_at":"2021-09-30T08:25:22.860Z","updated_at":"2021-09-30T11:29:17.218Z"},{"id":2883,"pubmed_id":26582914,"title":"GPCRdb: an information system for G protein-coupled receptors.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1178","authors":"Isberg V,Mordalski S,Munk C,Rataj K,Harpsoe K,Hauser AS,Vroling B,Bojarski AJ,Vriend G,Gloriam DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1178","created_at":"2021-09-30T08:27:54.913Z","updated_at":"2021-09-30T11:29:48.037Z"},{"id":2884,"pubmed_id":27155948,"title":"GPCRdb: the G protein-coupled receptor database - an introduction.","year":2016,"url":"http://doi.org/10.1111/bph.13509","authors":"Munk C,Isberg V,Mordalski S,Harpsoe K,Rataj K,Hauser AS,Kolb P,Bojarski AJ,Vriend G,Gloriam DE","journal":"Br J Pharmacol","doi":"10.1111/bph.13509","created_at":"2021-09-30T08:27:55.031Z","updated_at":"2021-09-30T08:27:55.031Z"},{"id":2885,"pubmed_id":29155946,"title":"GPCRdb in 2018: adding GPCR structure models and ligands.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1109","authors":"Pandy-Szekeres G,Munk C,Tsonkov TM,Mordalski S,Harpsoe K,Hauser AS,Bojarski AJ,Gloriam DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1109","created_at":"2021-09-30T08:27:55.147Z","updated_at":"2021-09-30T11:29:48.137Z"},{"id":3746,"pubmed_id":36395823,"title":"GPCRdb in 2023: state-specific structure models using AlphaFold2 and new ligand resources","year":2022,"url":"https://doi.org/10.1093/nar/gkac1013","authors":"Pándy-Szekeres, Gáspár, Jimmy Caroli, Alibek Mamyrbekov, Ali A. Kermani, György M. Keserű, Albert J. Kooistra, and David E. Gloriam","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1013","created_at":"2022-12-21T20:34:01.052Z","updated_at":"2022-12-21T20:34:01.052Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2098,"relation":"undefined"}],"grants":[{"id":868,"fairsharing_record_id":1832,"organisation_id":1732,"relation":"funds","created_at":"2021-09-30T09:24:47.100Z","updated_at":"2021-09-30T09:29:10.536Z","grant_id":125,"is_lead":false,"saved_state":{"id":1732,"name":"Lundbeck Foundation, Copenhagen, Denmark","grant":"R163-2013-16327","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":872,"fairsharing_record_id":1832,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:24:47.257Z","updated_at":"2021-09-30T09:31:29.625Z","grant_id":1195,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2014/12/T/NZ2/00529","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":869,"fairsharing_record_id":1832,"organisation_id":374,"relation":"funds","created_at":"2021-09-30T09:24:47.138Z","updated_at":"2021-09-30T09:32:28.876Z","grant_id":1638,"is_lead":false,"saved_state":{"id":374,"name":"Carlsberg Foundation, Copenhagen, Denmark","grant":"R77-A6854","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8053,"fairsharing_record_id":1832,"organisation_id":1732,"relation":"funds","created_at":"2021-09-30T09:30:39.997Z","updated_at":"2021-09-30T09:30:40.052Z","grant_id":812,"is_lead":false,"saved_state":{"id":1732,"name":"Lundbeck Foundation, Copenhagen, Denmark","grant":"R54-A5441","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":865,"fairsharing_record_id":1832,"organisation_id":465,"relation":"maintains","created_at":"2021-09-30T09:24:46.980Z","updated_at":"2021-09-30T09:24:46.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":465,"name":"Centre for Molecular and Biomolecular Informatics (CMBI), Nijmegen, Netherland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":866,"fairsharing_record_id":1832,"organisation_id":702,"relation":"maintains","created_at":"2021-09-30T09:24:47.017Z","updated_at":"2021-09-30T09:24:47.017Z","grant_id":null,"is_lead":true,"saved_state":{"id":702,"name":"Department of Drug Design and Pharmacology, University of Copenhagen","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":863,"fairsharing_record_id":1832,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:24:46.908Z","updated_at":"2021-09-30T09:30:16.921Z","grant_id":635,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"DE-ORPHAN 639125","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":864,"fairsharing_record_id":1832,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:24:46.947Z","updated_at":"2021-09-30T09:30:54.850Z","grant_id":933,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"PL 950224","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":871,"fairsharing_record_id":1832,"organisation_id":638,"relation":"funds","created_at":"2021-09-30T09:24:47.218Z","updated_at":"2021-09-30T09:31:50.252Z","grant_id":1349,"is_lead":false,"saved_state":{"id":638,"name":"Danish Council for Independent Research, Denmark","grant":"1331-00180","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":870,"fairsharing_record_id":1832,"organisation_id":2152,"relation":"funds","created_at":"2021-09-30T09:24:47.176Z","updated_at":"2021-09-30T09:32:23.614Z","grant_id":1599,"is_lead":false,"saved_state":{"id":2152,"name":"NewProt project, European Union","grant":"289350","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":867,"fairsharing_record_id":1832,"organisation_id":1714,"relation":"funds","created_at":"2021-09-30T09:24:47.059Z","updated_at":"2021-09-30T09:32:31.989Z","grant_id":1663,"is_lead":false,"saved_state":{"id":1714,"name":"Life sciences, genomics and biotechnology for health, European Commission (EC) FP6","grant":"LHSG-CT-2004-512092","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1852","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:49.969Z","metadata":{"doi":"10.25504/FAIRsharing.7zffgc","name":"Gene Ontology Annotation Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"goa@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/GOA","citations":[{"doi":"10.1093/nar/gku1113","pubmed_id":25378336,"publication_id":1578}],"identifier":1852,"description":"The GO Annotation Database (GOA) provides Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB), RNA molecules from RNACentral and protein complexes from the Complex Portal. GOA files contain a mixture of manual annotation supplied by members of the Gene Onotology Consortium and computationally assigned GO terms describing gene products. Annotation type is clearly indicated by associated evidence codes and there are links to the source data.","abbreviation":"GOA","data_curation":{"url":"https://www.ebi.ac.uk/GOA/newto","type":"manual/automated","notes":"Manual Annotation Efforts and Electronic Annotation Methods"},"support_links":[{"url":"http://www.ebi.ac.uk/GOA/contactus","name":"Contact GOA","type":"Contact form"},{"url":"https://www.ebi.ac.uk/GOA/faq","name":"GOA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ebi.ac.uk/GOA/newto","name":"GOA Annotation Guide","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"url":"https://www.ebi.ac.uk/GOA/faq","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000313","bsg-d000313"],"name":"FAIRsharing record for: Gene Ontology Annotation Database","abbreviation":"GOA","url":"https://fairsharing.org/10.25504/FAIRsharing.7zffgc","doi":"10.25504/FAIRsharing.7zffgc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GO Annotation Database (GOA) provides Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB), RNA molecules from RNACentral and protein complexes from the Complex Portal. GOA files contain a mixture of manual annotation supplied by members of the Gene Onotology Consortium and computationally assigned GO terms describing gene products. Annotation type is clearly indicated by associated evidence codes and there are links to the source data.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11337},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12162}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Gene Ontology enrichment","Annotation","Ribonucleic acid","Protein-containing complex","Protein","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":350,"pubmed_id":18957448,"title":"The GOA database in 2009--an integrated Gene Ontology Annotation resource.","year":2008,"url":"http://doi.org/10.1093/nar/gkn803","authors":"Barrell D., Dimmer E., Huntley RP., Binns D., O'Donovan C., Apweiler R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn803","created_at":"2021-09-30T08:22:57.674Z","updated_at":"2021-09-30T08:22:57.674Z"},{"id":1578,"pubmed_id":25378336,"title":"The GOA database: gene Ontology annotation updates for 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku1113","authors":"Huntley RP,Sawford T,Mutowo-Meullenet P,Shypitsyna A,Bonilla C,Martin MJ,O'Donovan C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1113","created_at":"2021-09-30T08:25:16.884Z","updated_at":"2021-09-30T11:29:14.411Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2368,"relation":"undefined"}],"grants":[{"id":977,"fairsharing_record_id":1852,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:51.539Z","updated_at":"2021-09-30T09:29:01.077Z","grant_id":56,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5P41HG002273-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7949,"fairsharing_record_id":1852,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:30:01.975Z","updated_at":"2021-09-30T09:30:02.023Z","grant_id":522,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1U41HG006104-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":974,"fairsharing_record_id":1852,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:51.427Z","updated_at":"2021-09-30T09:24:51.427Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":975,"fairsharing_record_id":1852,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:51.459Z","updated_at":"2021-09-30T09:24:51.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":973,"fairsharing_record_id":1852,"organisation_id":2290,"relation":"funds","created_at":"2021-09-30T09:24:51.389Z","updated_at":"2021-09-30T09:30:28.221Z","grant_id":725,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK (PDUK)","grant":"G-1307","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":976,"fairsharing_record_id":1852,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:24:51.497Z","updated_at":"2021-09-30T09:31:41.513Z","grant_id":1285,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","grant":"RG/13/5/30112","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1841","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:10.074Z","metadata":{"doi":"10.25504/FAIRsharing.3zqvaf","name":"Sol Genomics Network","status":"ready","contacts":[{"contact_email":"sgn-feedback@solgenomics.net"}],"homepage":"https://solgenomics.net","citations":[{"doi":"10.1093/nar/gku1195","pubmed_id":25428362,"publication_id":1263}],"identifier":1841,"description":"The Sol Genomics Network (SGN) is a database and website dedicated to the genomic information of the Solanaceae family, which includes species such as tomato, potato, pepper, petunia and eggplant.","abbreviation":"SGN","data_curation":{"type":"not found"},"support_links":[{"url":"https://solgenomics.net/contact/form/","name":"Contact SGN","type":"Contact form"},{"url":"https://solgenomics.net/help/faq.pl","name":"SGN FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://solgenomics.net/forum/topics.pl","name":"SGN Forum","type":"Forum"},{"url":"https://solgenomics.net/help/index.pl","name":"SGN Help","type":"Help documentation"},{"url":"https://twitter.com/solgenomics","name":"@solgenomics","type":"Twitter"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012078","name":"re3data:r3d100012078","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004933","name":"SciCrunch:RRID:SCR_004933","portal":"SciCrunch"}],"data_access_condition":{"url":"https://solgenomics.net/ftp/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://solgenomics.net/help/index.pl","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000301","bsg-d000301"],"name":"FAIRsharing record for: Sol Genomics Network","abbreviation":"SGN","url":"https://fairsharing.org/10.25504/FAIRsharing.3zqvaf","doi":"10.25504/FAIRsharing.3zqvaf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sol Genomics Network (SGN) is a database and website dedicated to the genomic information of the Solanaceae family, which includes species such as tomato, potato, pepper, petunia and eggplant.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11618}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Genomics","Agriculture","Comparative Genomics"],"domains":["Network model","Small molecule","Pathway model","Genome"],"taxonomies":["Rubiaceae","Solanaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":355,"pubmed_id":20935049,"title":"The Sol Genomics Network (solgenomics.net): growing tomatoes using Perl.","year":2010,"url":"http://doi.org/10.1093/nar/gkq866","authors":"Bombarely A., Menda N., Tecle IY., Buels RM., Strickler S., Fischer-York T., Pujar A., Leto J., Gosselin J., Mueller LA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq866","created_at":"2021-09-30T08:22:58.192Z","updated_at":"2021-09-30T08:22:58.192Z"},{"id":1263,"pubmed_id":25428362,"title":"The Sol Genomics Network (SGN)--from genotype to phenotype to breeding.","year":2014,"url":"http://doi.org/10.1093/nar/gku1195","authors":"Fernandez-Pozo N,Menda N,Edwards JD,Saha S,Tecle IY,Strickler SR,Bombarely A,Fisher-York T,Pujar A,Foerster H,Yan A,Mueller LA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1195","created_at":"2021-09-30T08:24:40.915Z","updated_at":"2021-09-30T11:29:04.434Z"}],"licence_links":[{"licence_name":"2009 Toronto Statement on Benefits and Best Practices of Rapid Pre-Publication Data Release","licence_id":1,"licence_url":"https://dx.doi.org/10.1038%2F461168a","link_id":2370,"relation":"undefined"}],"grants":[{"id":892,"fairsharing_record_id":1841,"organisation_id":2120,"relation":"funds","created_at":"2021-09-30T09:24:48.044Z","updated_at":"2021-09-30T09:24:48.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":2120,"name":"Nestle, Vevey, Switzerland","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":893,"fairsharing_record_id":1841,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:48.086Z","updated_at":"2021-09-30T09:29:34.487Z","grant_id":307,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"9975866","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":895,"fairsharing_record_id":1841,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:24:48.166Z","updated_at":"2021-09-30T09:24:48.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":896,"fairsharing_record_id":1841,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:48.203Z","updated_at":"2021-09-30T09:24:48.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":894,"fairsharing_record_id":1841,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:48.128Z","updated_at":"2021-09-30T09:32:02.361Z","grant_id":1440,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"2007-02777","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8408,"fairsharing_record_id":1841,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:31.001Z","updated_at":"2021-09-30T09:32:31.061Z","grant_id":1656,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0820612","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8432,"fairsharing_record_id":1841,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:37.185Z","updated_at":"2021-09-30T09:32:37.245Z","grant_id":1703,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"9872617","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1853","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:04:47.180Z","metadata":{"doi":"10.25504/FAIRsharing.q1fdkc","name":"Integrated relational Enzyme database","status":"ready","contacts":[{"contact_name":"General EBI Support","contact_email":"support@ebi.ac.uk","contact_orcid":null}],"homepage":"http://www.ebi.ac.uk/intenz","citations":[],"identifier":1853,"description":"IntEnz is a freely available resource focused on enzyme nomenclature. IntEnz contains the recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB) on the nomenclature and classification of enzyme-catalysed reactions.","abbreviation":"IntEnz","data_curation":{"url":"https://www.ebi.ac.uk/intenz/advice.jsp","type":"manual","notes":"New enzymes are reviewed by internal and external experts"},"support_links":[{"url":"https://www.ebi.ac.uk/intenz/spotlight.jsp","name":"Enzyme Spotlights","type":"Blog/News"},{"url":"http://www.ebi.ac.uk/intenz/contact.jsp","name":"Contact IntEnz","type":"Contact form"},{"url":"http://www.ebi.ac.uk/intenz/faq.jsp","name":"IntEnz FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/intenz/statistics.jsp","name":"Statistics","type":"Help documentation"},{"url":"https://www.oxfordjournals.org/nar/database/summary/508","name":"NAR Database Summary Page","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/intenz/rules.jsp","name":"Classification Rules","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/intenz/advice.jsp","name":"EC Guidelines","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010803","name":"re3data:r3d100010803","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002992","name":"SciCrunch:RRID:SCR_002992","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/intenz/submissions.jsp","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000314","bsg-d000314"],"name":"FAIRsharing record for: Integrated relational Enzyme database","abbreviation":"IntEnz","url":"https://fairsharing.org/10.25504/FAIRsharing.q1fdkc","doi":"10.25504/FAIRsharing.q1fdkc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IntEnz is a freely available resource focused on enzyme nomenclature. IntEnz contains the recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB) on the nomenclature and classification of enzyme-catalysed reactions.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11338},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12163}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Enzymology"],"domains":["Enzyme Commission number","Enzymatic reaction","Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2750,"pubmed_id":14681451,"title":"IntEnz, the integrated relational enzyme database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh119","authors":"Fleischmann A,Darsow M,Degtyarenko K,Fleischmann W,Boyce S,Axelsen KB,Bairoch A,Schomburg D,Tipton KF,Apweiler R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh119","created_at":"2021-09-30T08:27:38.027Z","updated_at":"2021-09-30T11:29:42.628Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2369,"relation":"undefined"}],"grants":[{"id":978,"fairsharing_record_id":1853,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:51.580Z","updated_at":"2021-09-30T09:24:51.580Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":981,"fairsharing_record_id":1853,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:51.695Z","updated_at":"2021-09-30T09:29:34.236Z","grant_id":305,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":979,"fairsharing_record_id":1853,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:51.619Z","updated_at":"2021-09-30T09:24:51.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9157,"fairsharing_record_id":1853,"organisation_id":1533,"relation":"maintains","created_at":"2022-04-11T12:07:18.275Z","updated_at":"2022-04-11T12:07:18.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1843","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:51:10.220Z","metadata":{"doi":"10.25504/FAIRsharing.drtwnh","name":"figshare","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@figshare.com"}],"homepage":"http://figshare.com/","citations":[],"identifier":1843,"description":"figshare is a generalist, subject-agnostic repository for many different types of digital objects that can be used without cost to researchers. Data can be submitted to the central figshare repository (described here), or institutional repositories using the figshare software can be installed locally, e.g. by universities and publishers. Metadata in figshare is licenced under is CC0. figshare has also partnered with DuraSpace and Chronopolis to offer further assurances that public data will be archived under the stewardship of Chronopolis. figshare is supported through Institutional, Funder, and Governmental service subscriptions.","abbreviation":"figshare","data_curation":{"url":"https://knowledge.figshare.com/curation","type":"manual","notes":"Figshare Curation Services"},"support_links":[{"url":"https://www.facebook.com/FigShare","name":"https://facebook.com/FigShare","type":"Facebook"},{"url":"https://figshare.com/blog","name":"figshare's blog","type":"Blog/News"},{"url":"https://figshare.com/contact","name":"Contact Information","type":"Contact form"},{"url":"https://knowledge.figshare.com","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.figshare.com/","name":"Help Guide","type":"Help documentation"},{"url":"https://vimeo.com/figshare","name":"figshare on Vimeo","type":"Help documentation"},{"url":"https://twitter.com/figshare","name":"@figshare","type":"Twitter"},{"url":"http://figsharecommunity.slack.com/","name":"Slack Community","type":"Forum"},{"url":"info@figshare.com","name":"General Inquiries","type":"Support email"},{"url":"review@figshare.com","name":"Curation Services","type":"Support email"},{"url":"support@figshare.com","name":"Support","type":"Support email"},{"url":"https://support.figshare.com/support/tickets/new","name":"Support Ticket","type":"Contact form"},{"url":"https://knowledge.figshare.com/plus","name":"Figshare+ Platform (20GB to 5TB+)","type":"Other"},{"url":"https://help.figshare.com/article/file-formats-supported-for-in-browser-viewing","name":"Supported File Formats","type":"Help documentation"},{"url":"https://help.figshare.com/article/guide-to-sharing-data-on-figshare-plus","name":"Guide to Sharing Data on Figshare+","type":"Help documentation"},{"url":"https://help.figshare.com/article/figtionary","name":"Figtionary (Glossary \u0026 Open Data Terminology)","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Figshare","name":"figshare Wiki","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://knowledge.figshare.com/app-category/figshare-tools","name":"Apps \u0026 Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010066","name":"re3data:r3d100010066","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004328","name":"SciCrunch:RRID:SCR_004328","portal":"SciCrunch"}],"data_access_condition":{"url":"https://help.figshare.com/article/data-access-policy","type":"open","notes":"Data Access Policy"},"resource_sustainability":{"url":"https://help.figshare.com/article/product-development-at-figshare","name":"Product Development at Figshare"},"data_contact_information":"no","data_preservation_policy":{"url":"https://help.figshare.com/article/file-backup-and-security-policy","name":"Preservation \u0026 Continuity of Access Policy"},"data_deposition_condition":{"url":"https://figshare.com/features","type":"controlled","notes":"Requires authenticated registration. Up to 20 GB of free storage."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000303","bsg-d000303"],"name":"FAIRsharing record for: figshare","abbreviation":"figshare","url":"https://fairsharing.org/10.25504/FAIRsharing.drtwnh","doi":"10.25504/FAIRsharing.drtwnh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: figshare is a generalist, subject-agnostic repository for many different types of digital objects that can be used without cost to researchers. Data can be submitted to the central figshare repository (described here), or institutional repositories using the figshare software can be installed locally, e.g. by universities and publishers. Metadata in figshare is licenced under is CC0. figshare has also partnered with DuraSpace and Chronopolis to offer further assurances that public data will be archived under the stewardship of Chronopolis. figshare is supported through Institutional, Funder, and Governmental service subscriptions.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10766},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10937},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12920}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Resource metadata","Image","Publication","Multimedia","Data transformation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","New Zealand","South Africa","United Kingdom","United States","European Union"],"publications":[{"id":1223,"pubmed_id":21772785,"title":"FigShare.","year":2011,"url":"http://doi.org/10.4103/0976-500X.81919","authors":"Singh J","journal":"J Pharmacol Pharmacother","doi":"10.4103/0976-500X.81919","created_at":"2021-09-30T08:24:36.333Z","updated_at":"2021-09-30T08:24:36.333Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1926,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1924,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1923,"relation":"undefined"},{"licence_name":"Figshare Copyright and Licensing","licence_id":315,"licence_url":"https://figshare.com/terms","link_id":1922,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1927,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1928,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1925,"relation":"undefined"}],"grants":[{"id":901,"fairsharing_record_id":1843,"organisation_id":762,"relation":"maintains","created_at":"2021-09-30T09:24:48.395Z","updated_at":"2021-09-30T09:24:48.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":762,"name":"Digital Science, London, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":899,"fairsharing_record_id":1843,"organisation_id":531,"relation":"undefined","created_at":"2021-09-30T09:24:48.311Z","updated_at":"2021-09-30T09:24:48.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":531,"name":"Clarivate Analytics, US","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":902,"fairsharing_record_id":1843,"organisation_id":2764,"relation":"undefined","created_at":"2021-09-30T09:24:48.436Z","updated_at":"2021-09-30T09:24:48.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":2764,"name":"The Digital Preservation Network (DPN)","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":903,"fairsharing_record_id":1843,"organisation_id":565,"relation":"undefined","created_at":"2021-09-30T09:24:48.487Z","updated_at":"2021-09-30T09:24:48.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":565,"name":"Committee on Publication Ethics (COPE), UK","types":["Charitable foundation"],"is_lead":false,"relation":"undefined"}},{"id":9375,"fairsharing_record_id":1843,"organisation_id":647,"relation":"maintains","created_at":"2022-04-11T12:07:34.121Z","updated_at":"2022-04-11T12:07:34.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":647,"name":"DataCite","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1844","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-26T15:05:28.609Z","metadata":{"doi":"10.25504/FAIRsharing.353yat","name":"DrugBank","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca","contact_orcid":"0000-0002-3207-2434"}],"homepage":"http://www.drugbank.ca/","citations":[],"identifier":1844,"description":"The DrugBank database is a bioinformatics and chemoinformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. It is a freely available to academics.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=drugbank","name":"Feedback Form","type":"Contact form"},{"url":"http://www.drugbank.ca/faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.drugbank.ca/help","name":"Help Center","type":"Help documentation"},{"url":"https://twitter.com/DrugBankDB","name":"@DrugBankDB","type":"Twitter"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://www.drugbank.ca/search/seqquery","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010544","name":"re3data:r3d100010544","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002700","name":"SciCrunch:RRID:SCR_002700","portal":"SciCrunch"}],"data_access_condition":{"url":"https://go.drugbank.com/about#cite","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000304","bsg-d000304"],"name":"FAIRsharing record for: DrugBank","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.353yat","doi":"10.25504/FAIRsharing.353yat","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DrugBank database is a bioinformatics and chemoinformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. It is a freely available to academics.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16491}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Drug","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1156,"pubmed_id":24203711,"title":"DrugBank 4.0: shedding new light on drug metabolism.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1068","authors":"Law V,Knox C,Djoumbou Y,Jewison T,Guo AC,Liu Y,Maciejewski A,Arndt D,Wilson M,Neveu V,Tang A,Gabriel G,Ly C,Adamjee S,Dame ZT,Han B,Zhou Y,Wishart DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1068","created_at":"2021-09-30T08:24:28.555Z","updated_at":"2021-09-30T11:29:01.009Z"},{"id":1481,"pubmed_id":21059682,"title":"DrugBank 3.0: a comprehensive resource for 'omics' research on drugs.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1126","authors":"Knox C,Law V,Jewison T,Liu P,Ly S,Frolkis A,Pon A,Banco K,Mak C,Neveu V,Djoumbou Y,Eisner R,Guo AC,Wishart DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1126","created_at":"2021-09-30T08:25:05.824Z","updated_at":"2021-09-30T11:29:10.168Z"},{"id":1482,"pubmed_id":18048412,"title":"DrugBank: a knowledgebase for drugs, drug actions and drug targets.","year":2007,"url":"http://doi.org/10.1093/nar/gkm958","authors":"Wishart DS,Knox C,Guo AC,Cheng D,Shrivastava S,Tzur D,Gautam B,Hassanali M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm958","created_at":"2021-09-30T08:25:05.923Z","updated_at":"2021-09-30T11:29:10.276Z"},{"id":1494,"pubmed_id":16381955,"title":"DrugBank: a comprehensive resource for in silico drug discovery and exploration.","year":2005,"url":"http://doi.org/10.1093/nar/gkj067","authors":"Wishart DS,Knox C,Guo AC,Shrivastava S,Hassanali M,Stothard P,Chang Z,Woolsey J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj067","created_at":"2021-09-30T08:25:07.300Z","updated_at":"2021-09-30T11:29:10.876Z"},{"id":4207,"pubmed_id":null,"title":"DrugBank 5.0: a major update to the DrugBank database for 2018","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx1037","authors":"Wishart, David S; Feunang, Yannick D; Guo, An C; Lo, Elvis J; Marcu, Ana; Grant, Jason R; Sajed, Tanvir; Johnson, Daniel; Li, Carin; Sayeeda, Zinat; Assempour, Nazanin; Iynkkaran, Ithayavani; Liu, Yifeng; Maciejewski, Adam; Gale, Nicola; Wilson, Alex; Chin, Lucy; Cummings, Ryan; Le, Diana; Pon, Allison; Knox, Craig; Wilson, Michael; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1037","created_at":"2024-03-26T14:53:44.493Z","updated_at":"2024-03-26T14:53:44.493Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":3566,"relation":"applies_to_content"},{"licence_name":"Drugbank - License required for commercial use","licence_id":253,"licence_url":"http://www.drugbank.ca/about","link_id":529,"relation":"applies_to_content"}],"grants":[{"id":904,"fairsharing_record_id":1844,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:48.524Z","updated_at":"2021-09-30T09:32:46.278Z","grant_id":1770,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","grant":"111062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11611,"fairsharing_record_id":1844,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:37.214Z","updated_at":"2024-03-21T13:59:37.214Z","grant_id":null,"is_lead":false,"saved_state":{"id":3309,"name":"Wishart Lab, University of Alberta","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":11631,"fairsharing_record_id":1844,"organisation_id":1107,"relation":"funds","created_at":"2024-03-26T14:57:10.238Z","updated_at":"2024-03-26T14:57:10.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":1107,"name":"Genome Alberta, Alberta, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11629,"fairsharing_record_id":1844,"organisation_id":2799,"relation":"maintains","created_at":"2024-03-26T14:56:33.657Z","updated_at":"2024-03-26T14:56:33.657Z","grant_id":null,"is_lead":true,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":11630,"fairsharing_record_id":1844,"organisation_id":1109,"relation":"funds","created_at":"2024-03-26T14:57:10.232Z","updated_at":"2024-03-26T14:57:10.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1109,"name":"Genome British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11632,"fairsharing_record_id":1844,"organisation_id":1111,"relation":"funds","created_at":"2024-03-26T14:57:10.252Z","updated_at":"2024-03-26T14:57:10.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaGdFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c90d3aad1d158798ad6de7fea711d6211ac556a8/Screenshot%20from%202024-03-26%2014-51-04.png?disposition=inline","exhaustive_licences":true}},{"id":"1855","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:56:16.963Z","metadata":{"doi":"10.25504/FAIRsharing.pypsym","name":"The European Searchable Tumour Line Database","status":"deprecated","contacts":[{"contact_name":"Steven G. E. Marsh","contact_email":"steven.marsh@ucl.ac.uk","contact_orcid":"0000-0003-2855-4120"}],"homepage":"https://www.ebi.ac.uk/ipd/estdab/","citations":[{"doi":"10.1007/s00262-008-0656-5","pubmed_id":19172270,"publication_id":2756}],"identifier":1855,"description":"The European Searchable Tumour Line Database (ESTDAB) Database and Cell Bank provide a service enabling investigators to search online for HLA typed, immunologically characterised tumour cells.","abbreviation":"IPD-ESTDAB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/ipd/estdab/intro.html","name":"About IPD-ESTDAB","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/estdab/contributecells.html","name":"Contributing Cells","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/estdab/ordercells.html","name":"Ordering Cells","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/estdab/collaborators.html","name":"Collaborators","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2020-02-10","deprecation_reason":"The IPD-ESTDAB database has been part of the IPD project since 2003 and represents a legacy system that is no longer under active development, but is provided to the community for reference purposes (see https://doi.org/10.1007/s00251-019-01133-w for more information).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000316","bsg-d000316"],"name":"FAIRsharing record for: The European Searchable Tumour Line Database","abbreviation":"IPD-ESTDAB","url":"https://fairsharing.org/10.25504/FAIRsharing.pypsym","doi":"10.25504/FAIRsharing.pypsym","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Searchable Tumour Line Database (ESTDAB) Database and Cell Bank provide a service enabling investigators to search online for HLA typed, immunologically characterised tumour cells.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunogenetics","Immunology","Biomedical Science"],"domains":["Deoxyribonucleic acid","Cancer","Human leukocyte antigen complex","Tumor","Small molecule","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":368,"pubmed_id":23180793,"title":"IPD--the Immuno Polymorphism Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1140","authors":"Robinson J., Halliwell JA., McWilliam H., Lopez R., Marsh SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1140","created_at":"2021-09-30T08:22:59.558Z","updated_at":"2021-09-30T08:22:59.558Z"},{"id":2756,"pubmed_id":19172270,"title":"The European searchable tumour line database.","year":2009,"url":"http://doi.org/10.1007/s00262-008-0656-5","authors":"Robinson J,Roberts CH,Dodi IA,Madrigal JA,Pawelec G,Wedel L,Marsh SG","journal":"Cancer Immunol Immunother","doi":"10.1007/s00262-008-0656-5","created_at":"2021-09-30T08:27:38.764Z","updated_at":"2021-09-30T08:27:38.764Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":160,"relation":"undefined"}],"grants":[{"id":991,"fairsharing_record_id":1855,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:24:52.140Z","updated_at":"2021-09-30T09:30:28.758Z","grant_id":728,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"QLRT-2000-01325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":990,"fairsharing_record_id":1855,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.097Z","updated_at":"2021-09-30T09:24:52.097Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1856","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:29:20.543Z","metadata":{"doi":"10.25504/FAIRsharing.3mzbyb","name":"Human Platelet Antigens","status":"deprecated","contacts":[{"contact_name":"Steven G. E. Marsh","contact_email":"steven.marsh@ucl.ac.uk","contact_orcid":"0000-0003-2855-4120"}],"homepage":"http://www.ebi.ac.uk/ipd/hpa/","citations":[{"doi":"10.1046/j.1423-0410.2003.00331.x","pubmed_id":14516468,"publication_id":2757}],"identifier":1856,"description":"The database provides a centralised repository for the data which define the human platelet antigens (HPA). Alloantibodies against human platelet antigens are involved in neonatal alloimmune thrombocytopenia, post-transfusion purpura and refractoriness to random donor platelets.","abbreviation":"IPD-HPA","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/support/ipd.php","name":"IPD Contact Form","type":"Contact form"},{"url":"naw23@cam.ac.uk","name":"Nick Watkins","type":"Support email"}],"year_creation":1990,"data_versioning":"not found","deprecation_date":"2020-02-10","deprecation_reason":"The IPD-HPA database has been part of the IPD project since 2003 and represents a legacy system that is no longer under active development, but is provided to the community for reference purposes (see https://doi.org/10.1007/s00251-019-01133-w for more information).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000317","bsg-d000317"],"name":"FAIRsharing record for: Human Platelet Antigens","abbreviation":"IPD-HPA","url":"https://fairsharing.org/10.25504/FAIRsharing.3mzbyb","doi":"10.25504/FAIRsharing.3mzbyb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database provides a centralised repository for the data which define the human platelet antigens (HPA). Alloantibodies against human platelet antigens are involved in neonatal alloimmune thrombocytopenia, post-transfusion purpura and refractoriness to random donor platelets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Immunology","Biomedical Science"],"domains":["Antigen","Antibody","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Human Platelet Antigens (HPA)"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":368,"pubmed_id":23180793,"title":"IPD--the Immuno Polymorphism Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1140","authors":"Robinson J., Halliwell JA., McWilliam H., Lopez R., Marsh SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1140","created_at":"2021-09-30T08:22:59.558Z","updated_at":"2021-09-30T08:22:59.558Z"},{"id":2757,"pubmed_id":14516468,"title":"Nomenclature of human platelet antigens.","year":2003,"url":"http://doi.org/10.1046/j.1423-0410.2003.00331.x","authors":"Metcalfe P,Watkins NA,Ouwehand WH,Kaplan C,Newman P,Kekomaki R,De Haas M,Aster R,Shibata Y,Smith J,Kiefel V,Santoso S","journal":"Vox Sang","doi":"10.1046/j.1423-0410.2003.00331.x","created_at":"2021-09-30T08:27:38.872Z","updated_at":"2021-09-30T08:27:38.872Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":281,"relation":"undefined"}],"grants":[{"id":993,"fairsharing_record_id":1856,"organisation_id":2001,"relation":"maintains","created_at":"2021-09-30T09:24:52.219Z","updated_at":"2021-09-30T09:24:52.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":2001,"name":"National Institute for Biological Standards and Control (NIBSC), Potters Bar, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":997,"fairsharing_record_id":1856,"organisation_id":100,"relation":"maintains","created_at":"2021-09-30T09:24:52.440Z","updated_at":"2021-09-30T09:24:52.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":100,"name":"Anthony Nolan Research Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":992,"fairsharing_record_id":1856,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:52.180Z","updated_at":"2021-09-30T09:29:14.195Z","grant_id":152,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"P01 111 412","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":994,"fairsharing_record_id":1856,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.324Z","updated_at":"2021-09-30T09:24:52.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":995,"fairsharing_record_id":1856,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:24:52.361Z","updated_at":"2021-09-30T09:29:06.334Z","grant_id":95,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"QLRI-CT-200!-01325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9139,"fairsharing_record_id":1856,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.053Z","updated_at":"2022-04-11T12:07:17.053Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1857","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:06.581Z","metadata":{"doi":"10.25504/FAIRsharing.h87prx","name":"IPD-KIR - Killer-cell Immunoglobulin-like Receptors","status":"ready","contacts":[{"contact_name":"Steven G. E. Marsh","contact_email":"steven.marsh@ucl.ac.uk","contact_orcid":"0000-0003-2855-4120"}],"homepage":"http://www.ebi.ac.uk/ipd/kir/","identifier":1857,"description":"The database provides a centralised repository for human KIR sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","abbreviation":"IPD-KIR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/support/ipd.php","name":"IPD Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/ipd/kir/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/ANHIG/IPDKIR","name":"GitHub Repository","type":"Github"},{"url":"https://www.ebi.ac.uk/ipd/kir/stats.html","name":"Statistics","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/nomenclature.html","name":"KIR Nomenclature","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/alleles.html","name":"KIR Allele Nomenclature","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/genotypes.html","name":"KIR Genotypes","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/genes.html","name":"KIR Genes","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/haplotypes.html","name":"KIR Haplotypes","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"https://www.ebi.ac.uk/ipd/kir/align.html","name":"KIR Alignment Tool"},{"url":"https://www.ebi.ac.uk/ipd/kir/blast.html","name":"BLAST"},{"url":"https://www.ebi.ac.uk/ipd/kir/ligand.html","name":"KIR Ligand Calculator"},{"url":"https://www.ebi.ac.uk/ipd/kir/donor_b_content.html","name":"Donor KIR B-content group calculator"},{"url":"https://www.ebi.ac.uk/ipd/kir/ethnicity.html","name":"IPD-KIR Allele Ethnicity Tool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ebi.ac.uk/ipd/kir/submission/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000318","bsg-d000318"],"name":"FAIRsharing record for: IPD-KIR - Killer-cell Immunoglobulin-like Receptors","abbreviation":"IPD-KIR","url":"https://fairsharing.org/10.25504/FAIRsharing.h87prx","doi":"10.25504/FAIRsharing.h87prx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database provides a centralised repository for human KIR sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Immunology"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Killer-cell Immunoglobulin-like Receptors","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":368,"pubmed_id":23180793,"title":"IPD--the Immuno Polymorphism Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1140","authors":"Robinson J., Halliwell JA., McWilliam H., Lopez R., Marsh SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1140","created_at":"2021-09-30T08:22:59.558Z","updated_at":"2021-09-30T08:22:59.558Z"},{"id":1487,"pubmed_id":19875415,"title":"IPD--the Immuno Polymorphism Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp879","authors":"Robinson J,Mistry K,McWilliam H,Lopez R,Marsh SG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp879","created_at":"2021-09-30T08:25:06.466Z","updated_at":"2021-09-30T11:29:10.426Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":82,"relation":"undefined"}],"grants":[{"id":1000,"fairsharing_record_id":1857,"organisation_id":100,"relation":"maintains","created_at":"2021-09-30T09:24:52.565Z","updated_at":"2021-09-30T09:24:52.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":100,"name":"Anthony Nolan Research Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":998,"fairsharing_record_id":1857,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:24:52.482Z","updated_at":"2021-09-30T09:24:52.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":999,"fairsharing_record_id":1857,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.522Z","updated_at":"2021-09-30T09:24:52.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1001,"fairsharing_record_id":1857,"organisation_id":3097,"relation":"maintains","created_at":"2021-09-30T09:24:52.602Z","updated_at":"2021-09-30T09:24:52.602Z","grant_id":null,"is_lead":false,"saved_state":{"id":3097,"name":"University of Minnesota, Minneapolis, MN 55455, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1002,"fairsharing_record_id":1857,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:52.639Z","updated_at":"2021-09-30T09:30:33.158Z","grant_id":761,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P01-CA-111412","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1864","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:42:47.439Z","metadata":{"doi":"10.25504/FAIRsharing.ct66a3","name":"PROCOGNATE","status":"deprecated","contacts":[{"contact_name":"Matthew Bashton","contact_email":"bashton@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/thornton-srv/databases/procognate/index.html","citations":[{"doi":"10.1093/nar/gkm611","pubmed_id":17720712,"publication_id":1164}],"identifier":1864,"description":"PROCOGNATE is a database of cognate ligands for the domains of enzyme structures in CATH, SCOP and Pfam. The database contains an assignment of PDB ligands to the domains of structures as classified by the CATH, SCOP and Pfam databases. Cognate ligands have been identified using data from the ENZYME and KEGG databases and compared to the PDB ligand using graph matching to assess chemical similarity. Cognate ligands from the known reactions in ENZYME and KEGG for a particular enzyme are then assigned to enzymes structures which have EC numbers.","abbreviation":"PROCOGNATE","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/procognate/help.html","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2019-01-10","deprecation_reason":"This resource is no longer maintained as its homepage is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000326","bsg-d000326"],"name":"FAIRsharing record for: PROCOGNATE","abbreviation":"PROCOGNATE","url":"https://fairsharing.org/10.25504/FAIRsharing.ct66a3","doi":"10.25504/FAIRsharing.ct66a3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROCOGNATE is a database of cognate ligands for the domains of enzyme structures in CATH, SCOP and Pfam. The database contains an assignment of PDB ligands to the domains of structures as classified by the CATH, SCOP and Pfam databases. Cognate ligands have been identified using data from the ENZYME and KEGG databases and compared to the PDB ligand using graph matching to assess chemical similarity. Cognate ligands from the known reactions in ENZYME and KEGG for a particular enzyme are then assigned to enzymes structures which have EC numbers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Small molecule","Enzyme","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1164,"pubmed_id":17720712,"title":"PROCOGNATE: a cognate ligand domain mapping for enzymes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm611","authors":"Bashton M,Nobeli I,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm611","created_at":"2021-09-30T08:24:29.421Z","updated_at":"2021-09-30T11:29:01.601Z"},{"id":1619,"pubmed_id":17034815,"title":"Cognate ligand domain mapping for enzymes.","year":2006,"url":"http://doi.org/10.1016/j.jmb.2006.09.041","authors":"Bashton M,Nobeli I,Thornton JM","journal":"J Mol Biol","doi":"10.1016/j.jmb.2006.09.041","created_at":"2021-09-30T08:25:21.411Z","updated_at":"2021-09-30T08:25:21.411Z"}],"licence_links":[],"grants":[{"id":1029,"fairsharing_record_id":1864,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:53.756Z","updated_at":"2021-09-30T09:24:53.756Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1860","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-19T08:38:26.474Z","metadata":{"doi":"10.25504/FAIRsharing.26ek1v","name":"Protein Data Bank in Europe","status":"ready","contacts":[{"contact_name":"PDBe Helpdesk","contact_email":"pdbehelp@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/pdbe/","citations":[],"identifier":1860,"description":"The Protein Data Bank in Europe (PDBe) is the European resource for the collection, organisation and dissemination of data on biological macromolecular structures. It is a founding member of the worldwide Protein Data Bank which collects, organises and disseminates data on biological macromolecular structures. It provides information about all PDB entries, multiple search and browse facilities, advanced services including PDBePISA, PDBeFold and PDBeMotif, advanced visualisation and validation of NMR and EM structures, tools for bioinformaticians. ","abbreviation":"PDBe","data_curation":{"url":"http://www.wwpdb.org/documentation/procedure","type":"manual/automated"},"support_links":[{"url":"http://www.ebi.ac.uk/support/pdbe","name":"PDBe Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/pdbe/about/contact","name":"Contact Information","type":"Contact form"},{"url":"https://www.ebi.ac.uk/pdbe/documentation","name":"PDBe Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/about/news","name":"News","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/pdbe-quick-tour","name":"PDBe: Quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-searching-for-biological-macromolecular-structures","name":"PDBe: Searching for biological macromolecular structures","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-exploring-a-protein-data-bank-pdb-entry","name":"PDBe: Exploring a Protein Data Bank (PDB) entry","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-an-introduction-to-search-and-entry-pages-webinar","name":"PDBe: An introduction to search and entry pages: webinar","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-searching-the-protein-data-bank","name":"PDBe: Searching the Protein Data Bank","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/pdbe/training","name":"PDBe Training","type":"Training documentation"},{"url":"https://twitter.com/PDBeurope","name":"@PDBeurope","type":"Twitter"}],"year_creation":1996,"data_versioning":"yes","associated_tools":[{"url":"http://validate.wwpdb.org","name":"wwPDB Validation Service"},{"url":"https://www.ebi.ac.uk/pdbe/services","name":"Full PDBe Tools List"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010538","name":"re3data:r3d100010538","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004312","name":"SciCrunch:RRID:SCR_004312","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/pdbe/about/public-data-access-statement","type":"open"},"resource_sustainability":{"url":"http://www.wwpdb.org/about/faq","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/pdbe/deposition-services","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000322","bsg-d000322"],"name":"FAIRsharing record for: Protein Data Bank in Europe","abbreviation":"PDBe","url":"https://fairsharing.org/10.25504/FAIRsharing.26ek1v","doi":"10.25504/FAIRsharing.26ek1v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Data Bank in Europe (PDBe) is the European resource for the collection, organisation and dissemination of data on biological macromolecular structures. It is a founding member of the worldwide Protein Data Bank which collects, organises and disseminates data on biological macromolecular structures. It provides information about all PDB entries, multiple search and browse facilities, advanced services including PDBePISA, PDBeFold and PDBeMotif, advanced visualisation and validation of NMR and EM structures, tools for bioinformaticians. ","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11340},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11521},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11839},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12638}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Structural Biology"],"domains":["Protein structure","Drug structure","Deoxyribonucleic acid","Ribonucleic acid","X-ray diffraction","Nuclear Magnetic Resonance (NMR) spectroscopy","Electron density map","Electron microscopy","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1275,"pubmed_id":29126160,"title":"PDBe: towards reusable data delivery infrastructure at protein data bank in Europe.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1070","authors":"Mir S,Alhroub Y,Anyango S,Armstrong DR,Berrisford JM,Clark AR,Conroy MJ,Dana JM,Deshpande M,Gupta D,Gutmanas A,Haslam P,Mak L,Mukhopadhyay A,Nadzirin N,Paysan-Lafosse T,Sehnal D,Sen S,Smart OS,Varadi M,Kleywegt GJ,Velankar S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1070","created_at":"2021-09-30T08:24:42.347Z","updated_at":"2021-09-30T11:29:05.076Z"},{"id":2010,"pubmed_id":27450113,"title":"The archiving and dissemination of biological structure data","year":2016,"url":"http://doi.org/S0959-440X(16)30077-X","authors":"Helen M Berman, Stephen K Burley, Gerard J Kleywegt, John L Markley, Haruki Nakamura, Sameer Velankar","journal":"Current Opinion in Structural Biology","doi":"10.1016/j.sbi.2016.06.018","created_at":"2021-09-30T08:26:06.466Z","updated_at":"2021-09-30T08:26:06.466Z"},{"id":2089,"pubmed_id":22110033,"title":"PDBe: Protein Data Bank in Europe.","year":2011,"url":"http://doi.org/10.1093/nar/gkr998","authors":"Velankar S., Alhroub Y., Best C., Caboche S., Conroy MJ., Dana JM., Fernandez Montecelo MA., van Ginkel G., Golovin A., Gore SP., Gutmanas A., Haslam P., Hendrickx PM., Heuson E., Hirshberg M., John M., Lagerstedt I., Mir S., Newman LE., Oldfield TJ., Patwardhan A., Rinaldi L., Sahni G., Sanz-García E., Sen S., Slowley R., Suarez-Uruena A., Swaminathan GJ., Symmons MF., Vranken WF., Wainwright M., Kleywegt GJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr998","created_at":"2021-09-30T08:26:15.465Z","updated_at":"2021-09-30T08:26:15.465Z"},{"id":2164,"pubmed_id":26476444,"title":"PDBe: improved accessibility of macromolecular structure data from PDB and EMDB.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1047","authors":"Velankar S, van Ginkel G, Alhroub Y, Battle GM, Berrisford JM, Conroy MJ, Dana JM, Gore SP, Gutmanas A, Haslam P, Hendrickx PM, Lagerstedt I, Mir S, Fernandez Montecelo MA, Mukhopadhyay A, Oldfield TJ, Patwardhan A, Sanz-García E, Sen S, Slowley RA, Wainwright ME, Deshpande MS, Iudin A, Sahni G, Salavert Torres J, Hirshberg M, Mak L, Nadzirin N, Armstrong DR, Clark AR, Smart OS, Korir PK, Kleywegt GJ.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkv1047","created_at":"2021-09-30T08:26:23.933Z","updated_at":"2021-09-30T08:26:23.933Z"},{"id":2759,"pubmed_id":31691821,"title":"PDBe: improved findability of macromolecular structure data in the PDB.","year":2019,"url":"http://doi.org/10.1093/nar/gkz990","authors":"Armstrong DR,Berrisford JM,Conroy MJ,Gutmanas A,Anyango S,Choudhary P,Clark AR,Dana JM,Deshpande M,Dunlop R,Gane P,Gaborova R,Gupta D,Haslam P,Koca J,Mak L,Mir S,Mukhopadhyay A,Nadzirin N,Nair S,Paysan-Lafosse T,Pravda L,Sehnal D,Salih O,Smart O,Tolchard J,Varadi M,Svobodova-Varekova R,Zaki H,Kleywegt GJ,Velankar S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz990","created_at":"2021-09-30T08:27:39.086Z","updated_at":"2021-09-30T11:29:42.828Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2781,"relation":"applies_to_content"},{"licence_name":"wwPDB Charter","licence_id":875,"licence_url":"https://www.wwpdb.org/about/agreement","link_id":638,"relation":"undefined"}],"grants":[{"id":1017,"fairsharing_record_id":1860,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:53.295Z","updated_at":"2021-09-30T09:30:53.689Z","grant_id":922,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-1338415","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1015,"fairsharing_record_id":1860,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:53.151Z","updated_at":"2021-09-30T09:31:30.426Z","grant_id":1202,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"104948","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1014,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:53.120Z","updated_at":"2021-09-30T09:29:10.260Z","grant_id":123,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M011674/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9740,"fairsharing_record_id":1860,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T09:59:17.726Z","updated_at":"2022-08-02T09:59:17.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1011,"fairsharing_record_id":1860,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:53.006Z","updated_at":"2021-09-30T09:30:26.007Z","grant_id":708,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"1RO1 GM079429-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7902,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:35.358Z","updated_at":"2021-09-30T09:29:35.408Z","grant_id":314,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/G022577/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7906,"fairsharing_record_id":1860,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:29:37.592Z","updated_at":"2021-09-30T09:29:37.666Z","grant_id":332,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"284209","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7936,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:55.785Z","updated_at":"2021-09-30T09:29:55.828Z","grant_id":473,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/E007511/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7940,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:57.434Z","updated_at":"2021-09-30T09:29:57.484Z","grant_id":486,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M020428/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8152,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:13.081Z","updated_at":"2021-09-30T09:31:13.140Z","grant_id":1069,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M013146/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8160,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:16.073Z","updated_at":"2021-09-30T09:31:16.124Z","grant_id":1094,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M020347/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8313,"fairsharing_record_id":1860,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:01.896Z","updated_at":"2021-09-30T09:32:01.935Z","grant_id":1436,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"088944","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8364,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:15.909Z","updated_at":"2021-09-30T09:32:15.957Z","grant_id":1540,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/J007471/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10014,"fairsharing_record_id":1860,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.817Z","updated_at":"2022-10-13T09:43:38.817Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8735,"fairsharing_record_id":1860,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-20T11:13:12.000Z","updated_at":"2022-01-20T11:13:12.000Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1018,"fairsharing_record_id":1860,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:53.345Z","updated_at":"2021-09-30T09:31:34.335Z","grant_id":1230,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","grant":"MR/L007835/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8157,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:15.213Z","updated_at":"2021-09-30T09:31:15.262Z","grant_id":1088,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/K016970/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8172,"fairsharing_record_id":1860,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:31:19.605Z","updated_at":"2021-09-30T09:31:19.658Z","grant_id":1120,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"675858","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1012,"fairsharing_record_id":1860,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:53.045Z","updated_at":"2021-09-30T09:24:53.045Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1016,"fairsharing_record_id":1860,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:53.258Z","updated_at":"2021-09-30T09:24:53.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1019,"fairsharing_record_id":1860,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:53.382Z","updated_at":"2021-09-30T09:28:56.010Z","grant_id":21,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"GM079429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7879,"fairsharing_record_id":1860,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:21.548Z","updated_at":"2021-09-30T09:29:21.595Z","grant_id":211,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R01GM079429-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1013,"fairsharing_record_id":1860,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:24:53.081Z","updated_at":"2021-09-30T09:29:34.249Z","grant_id":305,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8082,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:49.581Z","updated_at":"2021-09-30T09:30:49.664Z","grant_id":889,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/K020013/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBblVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--64d8cc6d1de890da25711e3e4eb9bbc0a16903a8/1_1.png?disposition=inline","exhaustive_licences":true}},{"id":"1861","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:57.337Z","metadata":{"doi":"10.25504/FAIRsharing.7vjq5t","name":"PDBsum; at-a-glance overview of macromolecular structures","status":"ready","contacts":[{"contact_name":"Roman Laskowski","contact_email":"roman@ebi.ac.uk","contact_orcid":"0000-0001-5528-0087"}],"homepage":"http://www.ebi.ac.uk/pdbsum","citations":[{"doi":"10.1002/pro.3289","pubmed_id":28875543,"publication_id":1601}],"identifier":1861,"description":"PDBsum provides an overview of every macromolecular structure deposited in the Protein Data Bank (PDB), giving schematic diagrams of the molecules in each structure and of the interactions between them.","abbreviation":"PDBsum","data_curation":{"type":"automated","notes":"Described in literatLaskowski R A (2007). Enhancing the functional annotation of PDB structures in PDBsum using key figures extracted from the literature. Bioinformatics, 23, 1824-1827. [PubMed id: 17384425]"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/cgi-bin/pdbsum/GetPage.pl?pdbcode=n/a\u0026template=doc_about.html","name":"About PDBsum","type":"Help documentation"}],"year_creation":1997,"data_versioning":"not found","associated_tools":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/pdbsum/Generate.html","name":"PDBsum Generate"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012112","name":"re3data:r3d100012112","portal":"re3data"}],"data_access_condition":{"url":"http://www.ebi.ac.uk/thornton-srv/databases/cgi-bin/pdbsum/GetPage.pl?pdbcode=n/a\u0026template=doc_about.html","type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000323","bsg-d000323"],"name":"FAIRsharing record for: PDBsum; at-a-glance overview of macromolecular structures","abbreviation":"PDBsum","url":"https://fairsharing.org/10.25504/FAIRsharing.7vjq5t","doi":"10.25504/FAIRsharing.7vjq5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBsum provides an overview of every macromolecular structure deposited in the Protein Data Bank (PDB), giving schematic diagrams of the molecules in each structure and of the interactions between them.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12639}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Molecular interaction","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1491,"pubmed_id":24153109,"title":"PDBsum additions.","year":2013,"url":"http://doi.org/10.1093/nar/gkt940","authors":"de Beer TA,Berka K,Thornton JM,Laskowski RA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt940","created_at":"2021-09-30T08:25:06.942Z","updated_at":"2021-09-30T11:29:10.676Z"},{"id":1601,"pubmed_id":28875543,"title":"PDBsum: Structural summaries of PDB entries.","year":2017,"url":"http://doi.org/10.1002/pro.3289","authors":"Laskowski RA,Jablonska J,Pravda L,Varekova RS,Thornton JM","journal":"Protein Sci","doi":"10.1002/pro.3289","created_at":"2021-09-30T08:25:19.495Z","updated_at":"2021-09-30T08:25:19.495Z"},{"id":1602,"pubmed_id":18996896,"title":"PDBsum new things.","year":2008,"url":"http://doi.org/10.1093/nar/gkn860","authors":"Laskowski RA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn860","created_at":"2021-09-30T08:25:19.601Z","updated_at":"2021-09-30T11:29:15.403Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":398,"relation":"undefined"}],"grants":[{"id":1020,"fairsharing_record_id":1861,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:53.424Z","updated_at":"2021-09-30T09:24:53.424Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1021,"fairsharing_record_id":1861,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:24:53.483Z","updated_at":"2021-09-30T09:30:54.649Z","grant_id":931,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","grant":"DE-AC02-06CH1135","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1023,"fairsharing_record_id":1861,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:53.566Z","updated_at":"2021-09-30T09:31:09.075Z","grant_id":1041,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM094585","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1022,"fairsharing_record_id":1861,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:53.524Z","updated_at":"2021-09-30T09:31:31.756Z","grant_id":1210,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201200026C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1867","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:14:19.264Z","metadata":{"doi":"10.25504/FAIRsharing.fx0mw7","name":"Ensembl","status":"ready","contacts":[{"contact_name":"Help Desk","contact_email":"helpdesk@ensembl.org"}],"homepage":"http://www.ensembl.org/","citations":[{"doi":"10.1093/nar/gkac958","pubmed_id":null,"publication_id":4210}],"identifier":1867,"description":"Ensembl creates, integrates and distributes reference datasets and analysis tools that enable genomics. Ensembl is a genome browser that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation. Ensembl annotate genes, computes multiple alignments, predicts regulatory function and collects disease data.","abbreviation":null,"data_curation":{"url":"http://www.ensembl.org/info/genome/index.html","type":"automated"},"support_links":[{"url":"http://www.ensembl.info/","name":"Blog","type":"Blog/News"},{"url":"https://www.ensembl.org/info/about/contact/","type":"Contact form"},{"url":"helpdesk@ensembl.org","name":"Helpdesk","type":"Support email"},{"url":"https://www.ensembl.org/Help/Faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ensembl.org/info/","name":"Help","type":"Help documentation"},{"url":"http://lists.ensembl.org/mailman/listinfo/dev","name":"API Developers Mailing List","type":"Mailing list"},{"url":"https://www.ensembl.org/info/website/tutorials/sequence.html","name":"Retrieving Sequences","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/userdata.html","name":"Use Your Own Data in Ensembl","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/gene_snps.html","name":"Variants for my Gene","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/compara.html","name":"Compare Genes Across Species","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/expression.html","name":"Gene Expression in Ensembl","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/gallery.html","name":"Find a Data Display","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-browsing-chordate-genomes","name":"Browsing Chordate Genomes","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-browser-webinar-series-2016","name":"Webinar Series","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-filmed-api-workshop","name":"Filmed API workshop","type":"Training documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/index.html","name":"Tutorials Index","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-genomes-non-chordates-quick-tour","name":"Ensembl Genomes (non-chordates): Quick tour","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-tools-webinar","name":"Ensembl Tools Webinar","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-variant-effect-predictor-vep-webinar","name":"Ensembl Variant Effect Predictor (VEP): webinar","type":"Training documentation"},{"url":"https://twitter.com/ensembl","name":"@ensembl","type":"Twitter"}],"year_creation":1999,"data_versioning":"no","associated_tools":[{"url":"https://www.ensembl.org/info/docs/tools/vep/index.html","name":"VEP"},{"url":"https://www.ensembl.org/info/docs/tools/index.html","name":"Tools: Complete List"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010228","name":"re3data:r3d100010228","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002344","name":"SciCrunch:RRID:SCR_002344","portal":"SciCrunch"}],"data_access_condition":{"url":"http://www.ensembl.org/info/about/legal/disclaimer.html","type":"open","notes":"Ensembl imposes no restrictions on access to, or use of, the data provided."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Personal submissions can be saved and shared"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000330","bsg-d000330"],"name":"FAIRsharing record for: Ensembl","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fx0mw7","doi":"10.25504/FAIRsharing.fx0mw7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ensembl creates, integrates and distributes reference datasets and analysis tools that enable genomics. Ensembl is a genome browser that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation. Ensembl annotate genes, computes multiple alignments, predicts regulatory function and collects disease data.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17061},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11344},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11524},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11842},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12643},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15729},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16205}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science","Comparative Genomics"],"domains":["Genetic map","Genome annotation","Genomic assembly","Gene prediction","Genome alignment","Genome visualization","Gene","Genome","Reference genome"],"taxonomies":["Caenorhabditis elegans","Chordata","Drosophila melanogaster","Saccharomyces cerevisiae"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":182,"pubmed_id":25236461,"title":"The Ensembl REST API: Ensembl Data for Any Language.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu613","authors":"Yates A,Beal K,Keenan S,McLaren W,Pignatelli M,Ritchie GR,Ruffier M,Taylor K,Vullo A,Flicek P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu613","created_at":"2021-09-30T08:22:39.882Z","updated_at":"2021-09-30T08:22:39.882Z"},{"id":197,"pubmed_id":27268795,"title":"The Ensembl Variant Effect Predictor.","year":2016,"url":"http://doi.org/10.1186/s13059-016-0974-4","authors":"McLaren W,Gil L,Hunt SE,Riat HS,Ritchie GR,Thormann A,Flicek P,Cunningham F","journal":"Genome Biol","doi":"10.1186/s13059-016-0974-4","created_at":"2021-09-30T08:22:41.589Z","updated_at":"2021-09-30T08:22:41.589Z"},{"id":198,"pubmed_id":22798491,"title":"Incorporating RNA-seq data into the zebrafish Ensembl genebuild.","year":2012,"url":"http://doi.org/10.1101/gr.137901.112","authors":"Collins JE,White S,Searle SM,Stemple DL","journal":"Genome Res","doi":"10.1101/gr.137901.112","created_at":"2021-09-30T08:22:41.681Z","updated_at":"2021-09-30T08:22:41.681Z"},{"id":221,"pubmed_id":15123591,"title":"The Ensembl Web site: mechanics of a genome browser.","year":2004,"url":"http://doi.org/10.1101/gr.1863004","authors":"Stalker J,Gibbins B,Meidl P,Smith J,Spooner W,Hotz HR,Cox AV","journal":"Genome Res","doi":"10.1101/gr.1863004","created_at":"2021-09-30T08:22:43.915Z","updated_at":"2021-09-30T08:22:43.915Z"},{"id":222,"pubmed_id":15123588,"title":"The Ensembl core software libraries.","year":2004,"url":"http://doi.org/10.1101/gr.1857204","authors":"Stabenau A,McVicker G,Melsopp C,Proctor G,Clamp M,Birney E","journal":"Genome Res","doi":"10.1101/gr.1857204","created_at":"2021-09-30T08:22:44.057Z","updated_at":"2021-09-30T08:22:44.057Z"},{"id":237,"pubmed_id":22955987,"title":"GENCODE: the reference human genome annotation for The ENCODE Project.","year":2012,"url":"http://doi.org/10.1101/gr.135350.111","authors":"Harrow J, et al.","journal":"Genome Res","doi":"10.1101/gr.135350.111","created_at":"2021-09-30T08:22:45.582Z","updated_at":"2021-09-30T08:22:45.582Z"},{"id":239,"pubmed_id":21400687,"title":"Disease and phenotype data at Ensembl.","year":2011,"url":"http://doi.org/10.1002/0471142905.hg0611s69","authors":"Spudich GM,Fernandez-Suarez XM","journal":"Curr Protoc Hum Genet","doi":"10.1002/0471142905.hg0611s69","created_at":"2021-09-30T08:22:45.781Z","updated_at":"2021-09-30T08:22:45.781Z"},{"id":245,"pubmed_id":15145580,"title":"Genome information resources - developments at Ensembl.","year":2004,"url":"http://doi.org/10.1016/j.tig.2004.04.002","authors":"Hammond MP,Birney E","journal":"Trends Genet","doi":"10.1016/j.tig.2004.04.002","created_at":"2021-09-30T08:22:46.498Z","updated_at":"2021-09-30T08:22:46.498Z"},{"id":268,"pubmed_id":21785142,"title":"Ensembl BioMarts: a hub for data retrieval across taxonomic space.","year":2011,"url":"http://doi.org/10.1093/database/bar030","authors":"Kinsella RJ,Kahari A,Haider S,Zamora J,Proctor G,Spudich G,Almeida-King J,Staines D,Derwent P,Kerhornou A,Kersey P,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/bar030","created_at":"2021-09-30T08:22:48.965Z","updated_at":"2021-09-30T08:22:48.965Z"},{"id":396,"pubmed_id":25352552,"title":"Ensembl 2015","year":2014,"url":"http://doi.org/10.1093/nar/gku1010","authors":"Cunningham F et al.","journal":"Nucleic Acids Res.","doi":"doi:10.1093/nar/gku1010","created_at":"2021-09-30T08:23:03.063Z","updated_at":"2021-09-30T08:23:03.063Z"},{"id":627,"pubmed_id":16381931,"title":"Ensembl 2006.","year":2005,"url":"http://doi.org/10.1093/nar/gkj133","authors":"Birney E et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj133","created_at":"2021-09-30T08:23:28.924Z","updated_at":"2021-09-30T11:28:48.417Z"},{"id":1467,"pubmed_id":24316576,"title":"Ensembl 2014.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1196","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1196","created_at":"2021-09-30T08:25:04.201Z","updated_at":"2021-09-30T11:29:09.359Z"},{"id":1857,"pubmed_id":26888907,"title":"Ensembl regulation resources.","year":2016,"url":"http://doi.org/10.1093/database/bav119","authors":"Zerbino DR,Johnson N,Juetteman T,Sheppard D,Wilder SP,Lavidas I,Nuhn M,Perry E,Raffaillac-Desfosses Q,Sobral D,Keefe D,Graf S,Ahmed I,Kinsella R,Pritchard B,Brent S,Amode R,Parker A,Trevanion S,Birney E,Dunham I,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/bav119","created_at":"2021-09-30T08:25:48.615Z","updated_at":"2021-09-30T08:25:48.615Z"},{"id":1859,"pubmed_id":27337980,"title":"The Ensembl gene annotation system.","year":2016,"url":"http://doi.org/10.1093/database/baw093","authors":"Aken BL,Ayling S,Barrell D,Clarke L,Curwen V,Fairley S,Fernandez Banet J,Billis K,Garcia Giron C,Hourlier T,Howe K,Kahari A,Kokocinski F,Martin FJ,Murphy DN,Nag R,Ruffier M,Schuster M,Tang YA,Vogel JH,White S,Zadissa A,Flicek P,Searle SM","journal":"Database (Oxford)","doi":"10.1093/database/baw093","created_at":"2021-09-30T08:25:48.840Z","updated_at":"2021-09-30T08:25:48.840Z"},{"id":1884,"pubmed_id":20459808,"title":"Touring Ensembl: a practical guide to genome browsing.","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-295","authors":"Spudich GM,Fernandez-Suarez XM","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-295","created_at":"2021-09-30T08:25:51.940Z","updated_at":"2021-09-30T08:25:51.940Z"},{"id":1885,"pubmed_id":17967807,"title":"Genome browsing with Ensembl: a practical overview.","year":2007,"url":"http://doi.org/10.1093/bfgp/elm025","authors":"Spudich G,Fernandez-Suarez XM,Birney E","journal":"Brief Funct Genomic Proteomic","doi":"10.1093/bfgp/elm025","created_at":"2021-09-30T08:25:52.048Z","updated_at":"2021-09-30T08:25:52.048Z"},{"id":1911,"pubmed_id":21045057,"title":"Ensembl 2011.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1064","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1064","created_at":"2021-09-30T08:25:54.869Z","updated_at":"2021-09-30T11:29:23.560Z"},{"id":1912,"pubmed_id":22086963,"title":"Ensembl 2012.","year":2011,"url":"http://doi.org/10.1093/nar/gkr991","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr991","created_at":"2021-09-30T08:25:54.985Z","updated_at":"2021-09-30T11:29:23.703Z"},{"id":1913,"pubmed_id":23203987,"title":"Ensembl 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1236","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1236","created_at":"2021-09-30T08:25:55.085Z","updated_at":"2021-09-30T11:29:23.795Z"},{"id":2153,"pubmed_id":26980512,"title":"ncRNA orthologies in the vertebrate lineage.","year":2016,"url":"http://doi.org/10.1093/database/bav127","authors":"Pignatelli M,Vilella AJ,Muffato M,Gordon L,White S,Flicek P,Herrero J","journal":"Database (Oxford)","doi":"10.1093/database/bav127","created_at":"2021-09-30T08:26:22.657Z","updated_at":"2021-09-30T08:26:22.657Z"},{"id":2158,"pubmed_id":27141089,"title":"Ensembl comparative genomics resources (Erratum)","year":2016,"url":"http://doi.org/10.1093/database/baw053","authors":"Herrero J,Muffato M,Beal K,Fitzgerald S,Gordon L,Pignatelli M,Vilella AJ,Searle SM,Amode R,Brent S,Spooner W,Kulesha E,Yates A,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/baw053","created_at":"2021-09-30T08:26:23.301Z","updated_at":"2021-09-30T08:26:23.301Z"},{"id":2196,"pubmed_id":15123594,"title":"The Ensembl computing architecture.","year":2004,"url":"http://doi.org/10.1101/gr.1866304","authors":"Cuff JA,Coates GM,Cutts TJ,Rae M","journal":"Genome Res","doi":"10.1101/gr.1866304","created_at":"2021-09-30T08:26:27.548Z","updated_at":"2021-09-30T08:26:27.548Z"},{"id":2257,"pubmed_id":15608235,"title":"Ensembl 2005.","year":2004,"url":"http://doi.org/10.1093/nar/gki138","authors":"Hubbard T et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki138","created_at":"2021-09-30T08:26:34.482Z","updated_at":"2021-09-30T11:29:31.869Z"},{"id":2258,"pubmed_id":15123595,"title":"ESTGenes: alternative splicing from ESTs in Ensembl.","year":2004,"url":"http://doi.org/10.1101/gr.1862204","authors":"Eyras E,Caccamo M,Curwen V,Clamp M","journal":"Genome Res","doi":"10.1101/gr.1862204","created_at":"2021-09-30T08:26:34.641Z","updated_at":"2021-09-30T08:26:34.641Z"},{"id":2268,"pubmed_id":25887522,"title":"The ensembl regulatory build.","year":2015,"url":"http://doi.org/10.1186/s13059-015-0621-5","authors":"Zerbino DR,Wilder SP,Johnson N,Juettemann T,Flicek PR","journal":"Genome Biol","doi":"10.1186/s13059-015-0621-5","created_at":"2021-09-30T08:26:36.205Z","updated_at":"2021-09-30T08:26:36.205Z"},{"id":2270,"pubmed_id":24363377,"title":"WiggleTools: parallel processing of large collections of genome-wide datasets for visualization and statistical analysis.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt737","authors":"Zerbino DR,Johnson N,Juettemann T,Wilder SP,Flicek P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt737","created_at":"2021-09-30T08:26:36.457Z","updated_at":"2021-09-30T08:26:36.457Z"},{"id":2293,"pubmed_id":27899575,"title":"Ensembl 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1104","authors":"Aken BL et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1104","created_at":"2021-09-30T08:26:39.783Z","updated_at":"2021-09-30T11:29:32.469Z"},{"id":2473,"pubmed_id":16874317,"title":"TranscriptSNPView: a genome-wide catalog of mouse coding variation.","year":2006,"url":"http://doi.org/10.1038/ng0806-853a","authors":"Cunningham F,Rios D,Griffiths M,Smith J,Ning Z,Cox T,Flicek P,Marin-Garcin P,Herrero J,Rogers J,van der Weyden L,Bradley A,Birney E,Adams DJ","journal":"Nat Genet","doi":"10.1038/ng0806-853a","created_at":"2021-09-30T08:27:03.236Z","updated_at":"2021-09-30T08:27:03.236Z"},{"id":2474,"pubmed_id":26687719,"title":"Ensembl 2016.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1157","authors":"Yates A et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1157","created_at":"2021-09-30T08:27:03.350Z","updated_at":"2021-09-30T11:29:37.246Z"},{"id":2476,"pubmed_id":18849525,"title":"Genome-wide nucleotide-level mammalian ancestor reconstruction.","year":2008,"url":"http://doi.org/10.1101/gr.076521.108","authors":"Paten B,Herrero J,Fitzgerald S,Beal K,Flicek P,Holmes I,Birney E","journal":"Genome Res","doi":"10.1101/gr.076521.108","created_at":"2021-09-30T08:27:03.585Z","updated_at":"2021-09-30T08:27:03.585Z"},{"id":2490,"pubmed_id":18000006,"title":"Ensembl 2008.","year":2007,"url":"http://doi.org/10.1093/nar/gkm988","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm988","created_at":"2021-09-30T08:27:05.316Z","updated_at":"2021-09-30T11:29:37.978Z"},{"id":2499,"pubmed_id":20459805,"title":"Ensembl variation resources.","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-293","authors":"Chen Y,Cunningham F,Rios D,McLaren WM,Smith J,Pritchard B,Spudich GM,Brent S,Kulesha E,Marin-Garcia P,Smedley D,Birney E,Flicek P","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-293","created_at":"2021-09-30T08:27:06.403Z","updated_at":"2021-09-30T08:27:06.403Z"},{"id":2507,"pubmed_id":12519943,"title":"Ensembl 2002: accommodating comparative genomics.","year":2003,"url":"http://doi.org/10.1093/nar/gkg083","authors":"Clamp M et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg083","created_at":"2021-09-30T08:27:07.689Z","updated_at":"2021-09-30T11:29:38.395Z"},{"id":2508,"pubmed_id":19029536,"title":"EnsemblCompara GeneTrees: Complete, duplication-aware phylogenetic trees in vertebrates.","year":2008,"url":"http://doi.org/10.1101/gr.073585.107","authors":"Vilella AJ,Severin J,Ureta-Vidal A,Heng L,Durbin R,Birney E","journal":"Genome Res","doi":"10.1101/gr.073585.107","created_at":"2021-09-30T08:27:07.790Z","updated_at":"2021-09-30T08:27:07.790Z"},{"id":2719,"pubmed_id":20459810,"title":"A database and API for variation, dense genotyping and resequencing data.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-238","authors":"Rios D,McLaren WM,Chen Y,Birney E,Stabenau A,Flicek P,Cunningham F","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-238","created_at":"2021-09-30T08:27:33.947Z","updated_at":"2021-09-30T08:27:33.947Z"},{"id":2780,"pubmed_id":11752248,"title":"The Ensembl genome database project.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.38","authors":"Hubbard T et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.38","created_at":"2021-09-30T08:27:41.776Z","updated_at":"2021-09-30T11:29:44.328Z"},{"id":2781,"pubmed_id":17148474,"title":"Ensembl 2007.","year":2006,"url":"http://doi.org/10.1093/nar/gkl996","authors":"Hubbard TJ et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl996","created_at":"2021-09-30T08:27:41.885Z","updated_at":"2021-09-30T11:29:44.420Z"},{"id":2783,"pubmed_id":20562413,"title":"Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq330","authors":"McLaren W,Pritchard B,Rios D,Chen Y,Flicek P,Cunningham F","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq330","created_at":"2021-09-30T08:27:42.106Z","updated_at":"2021-09-30T08:27:42.106Z"},{"id":2784,"pubmed_id":19033362,"title":"Ensembl 2009.","year":2008,"url":"http://doi.org/10.1093/nar/gkn828","authors":"Hubbard TJ et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn828","created_at":"2021-09-30T08:27:42.211Z","updated_at":"2021-09-30T11:29:44.511Z"},{"id":2785,"pubmed_id":19906699,"title":"Ensembl's 10th year.","year":2009,"url":"http://doi.org/10.1093/nar/gkp972","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp972","created_at":"2021-09-30T08:27:42.321Z","updated_at":"2021-09-30T11:29:44.603Z"},{"id":2832,"pubmed_id":26896847,"title":"Ensembl comparative genomics resources.","year":2016,"url":"http://doi.org/10.1093/database/bav096","authors":"Herrero J,Muffato M,Beal K,Fitzgerald S,Gordon L,Pignatelli M,Vilella AJ,Searle SM,Amode R,Brent S,Spooner W,Kulesha E,Yates A,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/bav096","created_at":"2021-09-30T08:27:48.390Z","updated_at":"2021-09-30T08:27:48.390Z"},{"id":2834,"pubmed_id":15123589,"title":"The Ensembl analysis pipeline.","year":2004,"url":"http://doi.org/10.1101/gr.1859804","authors":"Potter SC,Clarke L,Curwen V,Keenan S,Mongin E,Searle SM,Stabenau A,Storey R,Clamp M","journal":"Genome Res","doi":"10.1101/gr.1859804","created_at":"2021-09-30T08:27:48.621Z","updated_at":"2021-09-30T08:27:48.621Z"},{"id":2835,"pubmed_id":15123590,"title":"The Ensembl automatic gene annotation system.","year":2004,"url":"http://doi.org/10.1101/gr.1858004","authors":"Curwen V,Eyras E,Andrews TD,Clarke L,Mongin E,Searle SM,Clamp M","journal":"Genome Res","doi":"10.1101/gr.1858004","created_at":"2021-09-30T08:27:48.792Z","updated_at":"2021-09-30T08:27:48.792Z"},{"id":2837,"pubmed_id":30407521,"title":"Ensembl 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky1113","authors":"Cunningham F et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1113","created_at":"2021-09-30T08:27:49.020Z","updated_at":"2021-09-30T11:29:44.853Z"},{"id":2838,"pubmed_id":31691826,"title":"Ensembl 2020.","year":2019,"url":"http://doi.org/10.1093/nar/gkz966","authors":"Yates AD, et al","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz966","created_at":"2021-09-30T08:27:49.136Z","updated_at":"2021-09-30T11:29:45.920Z"},{"id":3007,"pubmed_id":20459813,"title":"eHive: an artificial intelligence workflow system for genomic analysis.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-240","authors":"Severin J,Beal K,Vilella AJ,Fitzgerald S,Schuster M,Gordon L,Ureta-Vidal A,Flicek P,Herrero J","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-240","created_at":"2021-09-30T08:28:10.750Z","updated_at":"2021-09-30T08:28:10.750Z"},{"id":3438,"pubmed_id":null,"title":"Ensembl 2022","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1049","authors":"Cunningham, Fiona; Allen, James E; Allen, Jamie; Alvarez-Jarreta, Jorge; Amode, M Ridwan; Armean, Irina M; Austine-Orimoloye, Olanrewaju; Azov, Andrey G; Barnes, If; Bennett, Ruth; Berry, Andrew; Bhai, Jyothish; Bignell, Alexandra; Billis, Konstantinos; Boddu, Sanjay; Brooks, Lucy; Charkhchi, Mehrnaz; Cummins, Carla; Da Rin Fioretto, Luca; Davidson, Claire; Dodiya, Kamalkumar; Donaldson, Sarah; El Houdaigui, Bilal; El Naboulsi, Tamara; Fatima, Reham; Giron, Carlos Garcia; Genez, Thiago; Martinez, Jose Gonzalez; Guijarro-Clarke, Cristina; Gymer, Arthur; Hardy, Matthew; Hollis, Zoe; Hourlier, Thibaut; Hunt, Toby; Juettemann, Thomas; Kaikala, Vinay; Kay, Mike; Lavidas, Ilias; Le, Tuan; Lemos, Diana; Marugán, José Carlos; Mohanan, Shamika; Mushtaq, Aleena; Naven, Marc; Ogeh, Denye N; Parker, Anne; Parton, Andrew; Perry, Malcolm; Piližota, Ivana; Prosovetskaia, Irina; Sakthivel, Manoj Pandian; Salam, Ahamed Imran Abdul; Schmitt, Bianca M; Schuilenburg, Helen; Sheppard, Dan; Pérez-Silva, José G; Stark, William; Steed, Emily; Sutinen, Kyösti; Sukumaran, Ranjit; Sumathipala, Dulika; Suner, Marie-Marthe; Szpak, Michal; Thormann, Anja; Tricomi, Francesca Floriana; Urbina-Gómez, David; Veidenberg, Andres; Walsh, Thomas A; Walts, Brandon; Willhoft, Natalie; Winterbottom, Andrea; Wass, Elizabeth; Chakiachvili, Marc; Flint, Bethany; Frankish, Adam; Giorgetti, Stefano; Haggerty, Leanne; Hunt, Sarah E; IIsley, Garth R; Loveland, Jane E; Martin, Fergal J; Moore, Benjamin; Mudge, Jonathan M; Muffato, Matthieu; Perry, Emily; Ruffier, Magali; Tate, John; Thybert, David; Trevanion, Stephen J; Dyer, Sarah; Harrison, Peter W; Howe, Kevin L; Yates, Andrew D; Zerbino, Daniel R; Flicek, Paul; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1049","created_at":"2022-06-15T07:16:07.911Z","updated_at":"2022-06-15T07:16:07.911Z"},{"id":4210,"pubmed_id":null,"title":"Ensembl 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac958","authors":"Martin, Fergal J; Amode, M Ridwan; Aneja, Alisha; Austine-Orimoloye, Olanrewaju; Azov, Andrey G; Barnes, If; Becker, Arne; Bennett, Ruth; Berry, Andrew; Bhai, Jyothish; Bhurji, Simarpreet Kaur; Bignell, Alexandra; Boddu, Sanjay; Branco Lins, Paulo R; Brooks, Lucy; Ramaraju, Shashank Budhanuru; Charkhchi, Mehrnaz; Cockburn, Alexander; Da Rin Fiorretto, Luca; Davidson, Claire; Dodiya, Kamalkumar; Donaldson, Sarah; El Houdaigui, Bilal; El Naboulsi, Tamara; Fatima, Reham; Giron, Carlos Garcia; Genez, Thiago; Ghattaoraya, Gurpreet S; Martinez, Jose Gonzalez; Guijarro, Cristi; Hardy, Matthew; Hollis, Zoe; Hourlier, Thibaut; Hunt, Toby; Kay, Mike; Kaykala, Vinay; Le, Tuan; Lemos, Diana; Marques-Coelho, Diego; Marugán, José Carlos; Merino, Gabriela Alejandra; Mirabueno, Louisse Paola; Mushtaq, Aleena; Hossain, Syed Nakib; Ogeh, Denye N; Sakthivel, Manoj Pandian; Parker, Anne; Perry, Malcolm; Piližota, Ivana; Prosovetskaia, Irina; Pérez-Silva, José G; Salam, Ahamed Imran Abdul; Saraiva-Agostinho, Nuno; Schuilenburg, Helen; Sheppard, Dan; Sinha, Swati; Sipos, Botond; Stark, William; Steed, Emily; Sukumaran, Ranjit; Sumathipala, Dulika; Suner, Marie-Marthe; Surapaneni, Likhitha; Sutinen, Kyösti; Szpak, Michal; Tricomi, Francesca Floriana; Urbina-Gómez, David; Veidenberg, Andres; Walsh, Thomas A; Walts, Brandon; Wass, Elizabeth; Willhoft, Natalie; Allen, Jamie; Alvarez-Jarreta, Jorge; Chakiachvili, Marc; Flint, Bethany; Giorgetti, Stefano; Haggerty, Leanne; Ilsley, Garth R; Loveland, Jane E; Moore, Benjamin; Mudge, Jonathan M; Tate, John; Thybert, David; Trevanion, Stephen J; Winterbottom, Andrea; Frankish, Adam; Hunt, Sarah E; Ruffier, Magali; Cunningham, Fiona; Dyer, Sarah; Finn, Robert D; Howe, Kevin L; Harrison, Peter W; Yates, Andrew D; Flicek, Paul; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac958","created_at":"2024-03-27T20:58:17.845Z","updated_at":"2024-03-27T20:58:17.845Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2205,"relation":"undefined"},{"licence_name":"Ensembl Legal Disclaimer","licence_id":281,"licence_url":"https://www.ensembl.org/info/about/legal/disclaimer.html","link_id":2207,"relation":"undefined"}],"grants":[{"id":1043,"fairsharing_record_id":1867,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:54.278Z","updated_at":"2021-09-30T09:24:54.278Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9221,"fairsharing_record_id":1867,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.412Z","updated_at":"2022-04-11T12:07:23.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1044,"fairsharing_record_id":1867,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:54.316Z","updated_at":"2021-09-30T09:24:54.316Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1045,"fairsharing_record_id":1867,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:54.358Z","updated_at":"2021-09-30T09:24:54.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1lCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c69627bba21f69132423b7e5a5571540b5d50773/ens.png?disposition=inline","exhaustive_licences":false}},{"id":"1868","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-16T15:45:06.703Z","metadata":{"doi":"10.25504/FAIRsharing.29we0s","name":"HUGO Gene Nomenclature Committee","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"hgnc@genenames.org"}],"homepage":"https://www.genenames.org/","citations":[],"identifier":1868,"description":"The HUGO Gene Nomenclature Committee (HGNC) is responsible for approving unique symbols, names and IDs for human loci, including protein coding genes, ncRNA genes and pseudogenes, to allow unambiguous scientific communication. The HGNC database is the resource for approved human gene nomenclature and is accessed via the website genenames.org. The website displays a page for every named gene and includes curated nomenclature information (including approved, previous and alias gene names and symbols). The website also displays manually curated gene group pages, the HCOP orthology tool and multi-symbol checker, and links to many other resources. HGNC is a Global Core Biodata Resource and an ELIXIR Core Data Resource. ","abbreviation":"HGNC","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://blog.genenames.org/","name":"Blog","type":"Blog/News"},{"url":"https://www.genenames.org/contact/request/","name":"Gene symbol request","type":"Contact form"},{"url":"https://www.genenames.org/contact/feedback/","name":"Feedback","type":"Contact form"},{"url":"https://www.genenames.org/help/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.genenames.org/help/search/","name":"Search help","type":"Help documentation"},{"url":"https://www.genenames.org/about/guidelines/","name":"Guidelines","type":"Help documentation"},{"url":"https://twitter.com/genenames","name":"Twitter","type":"Twitter"}],"year_creation":1979,"data_versioning":"yes","associated_tools":[{"url":"https://www.genenames.org/tools/hcop/","name":"HCOP"},{"url":"https://www.genenames.org/tools/multi-symbol-checker/","name":"Multi-symbol checker"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010901","name":"re3data:r3d100010901","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002827","name":"SciCrunch:RRID:SCR_002827","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.genenames.org/about/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.genenames.org/help/request-symbol/","type":"open","notes":"Curators check that proposed nomenclature is unique and follows the guidelines."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000331","bsg-d000331"],"name":"FAIRsharing record for: HUGO Gene Nomenclature Committee","abbreviation":"HGNC","url":"https://fairsharing.org/10.25504/FAIRsharing.29we0s","doi":"10.25504/FAIRsharing.29we0s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HUGO Gene Nomenclature Committee (HGNC) is responsible for approving unique symbols, names and IDs for human loci, including protein coding genes, ncRNA genes and pseudogenes, to allow unambiguous scientific communication. The HGNC database is the resource for approved human gene nomenclature and is accessed via the website genenames.org. The website displays a page for every named gene and includes curated nomenclature information (including approved, previous and alias gene names and symbols). The website also displays manually curated gene group pages, the HCOP orthology tool and multi-symbol checker, and links to many other resources. HGNC is a Global Core Biodata Resource and an ELIXIR Core Data Resource. ","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10942},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13138},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16198},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19480}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Ontology and Terminology"],"domains":["Gene name","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":375,"pubmed_id":17984084,"title":"The HGNC Database in 2008: a resource for the human genome.","year":2007,"url":"http://doi.org/10.1093/nar/gkm881","authors":"Bruford EA., Lush MJ., Wright MW., Sneddon TP., Povey S., Birney E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm881","created_at":"2021-09-30T08:23:00.308Z","updated_at":"2021-09-30T08:23:00.308Z"},{"id":772,"pubmed_id":25361968,"title":"Genenames.org: the HGNC resources in 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku1071","authors":"Gray KA,Yates B,Seal RL,Wright MW,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1071","created_at":"2021-09-30T08:23:45.078Z","updated_at":"2021-09-30T11:28:50.769Z"},{"id":792,"pubmed_id":23161694,"title":"Genenames.org: the HGNC resources in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1066","authors":"Gray KA,Daugherty LC,Gordon SM,Seal RL,Wright MW,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1066","created_at":"2021-09-30T08:23:47.286Z","updated_at":"2021-09-30T11:28:51.500Z"},{"id":1833,"pubmed_id":27799471,"title":"Genenames.org: the HGNC and VGNC resources in 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1033","authors":"Yates B,Braschi B,Gray KA,Seal RL,Tweedie S,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1033","created_at":"2021-09-30T08:25:45.862Z","updated_at":"2021-09-30T11:29:21.369Z"},{"id":2354,"pubmed_id":20929869,"title":"genenames.org: the HGNC resources in 2011.","year":2010,"url":"http://doi.org/10.1093/nar/gkq892","authors":"Seal RL,Gordon SM,Lush MJ,Wright MW,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq892","created_at":"2021-09-30T08:26:49.341Z","updated_at":"2021-09-30T11:29:33.587Z"},{"id":4127,"pubmed_id":30304474,"title":"Genenames.org: the HGNC and VGNC resources in 2019.","year":2019,"url":"https://doi.org/10.1093/nar/gky930","authors":"Braschi B, Denny P, Gray K, Jones T, Seal R, Tweedie S, Yates B, Bruford E","journal":"Nucleic acids research","doi":"10.1093/nar/gky930","created_at":"2024-02-16T11:49:38.252Z","updated_at":"2024-02-16T11:49:38.252Z"},{"id":4128,"pubmed_id":36243972,"title":"Genenames.org: the HGNC resources in 2023.","year":2023,"url":"https://doi.org/10.1093/nar/gkac888","authors":"Seal RL, Braschi B, Gray K, Jones TEM, Tweedie S, Haim-Vilmovsky L, Bruford EA","journal":"Nucleic acids research","doi":"10.1093/nar/gkac888","created_at":"2024-02-16T12:07:36.522Z","updated_at":"2024-02-16T12:07:36.522Z"},{"id":4129,"pubmed_id":33152070,"title":"Genenames.org: the HGNC and VGNC resources in 2021.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa980","authors":"Tweedie S, Braschi B, Gray K, Jones TEM, Seal RL, Yates B, Bruford EA","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa980","created_at":"2024-02-16T12:07:53.091Z","updated_at":"2024-02-16T12:07:53.091Z"},{"id":4130,"pubmed_id":36380364,"title":"The importance of being the HGNC.","year":2022,"url":"https://doi.org/10.1186/s40246-022-00432-w","authors":"Bruford EA, Braschi B, Haim-Vilmovsky L, Jones TEM, Seal RL, Tweedie S","journal":"Human genomics","doi":"10.1186/s40246-022-00432-w","created_at":"2024-02-16T12:16:13.556Z","updated_at":"2024-02-16T12:16:13.556Z"},{"id":4131,"pubmed_id":32747822,"title":"Guidelines for human gene nomenclature.","year":2020,"url":"https://doi.org/10.1038/s41588-020-0669-3","authors":"Bruford EA, Braschi B, Denny P, Jones TEM, Seal RL, Tweedie S","journal":"Nature genetics","doi":"10.1038/s41588-020-0669-3","created_at":"2024-02-16T12:16:41.645Z","updated_at":"2024-02-16T12:16:41.645Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1851,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1850,"relation":"undefined"},{"licence_name":"Privacy Notice for HGNC/VGNC","licence_id":679,"licence_url":"https://www.ebi.ac.uk/data-protection/privacy-notice/hgnc","link_id":1852,"relation":"undefined"},{"licence_name":"Creative Commons Zero v1.0 Universal","licence_id":1008,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","link_id":3502,"relation":"applies_to_content"}],"grants":[{"id":1048,"fairsharing_record_id":1868,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:54.465Z","updated_at":"2021-09-30T09:31:05.275Z","grant_id":1010,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"U41HG003345","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11358,"fairsharing_record_id":1868,"organisation_id":352,"relation":"maintains","created_at":"2024-02-16T12:14:14.344Z","updated_at":"2024-02-16T12:14:14.344Z","grant_id":null,"is_lead":true,"saved_state":{"id":352,"name":"University of Cambridge","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1869","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:40:52.680Z","metadata":{"doi":"10.25504/FAIRsharing.3q3kvn","name":"Escherichia coli strain K12 genome database","status":"deprecated","contacts":[{"contact_email":"krudd@med.miami.edu"}],"homepage":"http://ecogene.org/","citations":[],"identifier":1869,"description":"The EcoGene database contains updated information about the E. coli K-12 genome and proteome sequences, including extensive gene bibliographies. A major EcoGene focus has been the re-evaluation of translation start sites.","abbreviation":"EcoGene","data_curation":{"type":"not found"},"year_creation":2000,"data_versioning":"not found","associated_tools":[{"url":"http://ecogene.org/ecosearch","name":"search"},{"url":"http://www.ecogene.org/ecoblast","name":"BLAST"},{"url":"http://ecogene.org/ecosearch","name":"search"},{"url":"http://www.ecogene.org/ecoblast","name":"BLAST"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000332","bsg-d000332"],"name":"FAIRsharing record for: Escherichia coli strain K12 genome database","abbreviation":"EcoGene","url":"https://fairsharing.org/10.25504/FAIRsharing.3q3kvn","doi":"10.25504/FAIRsharing.3q3kvn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EcoGene database contains updated information about the E. coli K-12 genome and proteome sequences, including extensive gene bibliographies. A major EcoGene focus has been the re-evaluation of translation start sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Protein","Genome"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":388,"pubmed_id":10592181,"title":"EcoGene: a genome sequence database for Escherichia coli K-12.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.60","authors":"Rudd KE.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.60","created_at":"2021-09-30T08:23:02.041Z","updated_at":"2021-09-30T08:23:02.041Z"}],"licence_links":[],"grants":[{"id":1049,"fairsharing_record_id":1869,"organisation_id":818,"relation":"maintains","created_at":"2021-09-30T09:24:54.508Z","updated_at":"2021-09-30T09:24:54.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":818,"name":"EcoGene, University of Miami, Coral Gables, FL, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1870","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:29:20.653Z","metadata":{"doi":"10.25504/FAIRsharing.286amb","name":"MycoBrowser leprae","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://mycobrowser.epfl.ch/leprosy.html","identifier":1870,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria leprae information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://mycobrowser.epfl.ch/leprosyblastsearch.php","name":"blast"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000333","bsg-d000333"],"name":"FAIRsharing record for: MycoBrowser leprae","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.286amb","doi":"10.25504/FAIRsharing.286amb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria leprae information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium leprae"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1050,"fairsharing_record_id":1870,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.548Z","updated_at":"2021-09-30T09:24:54.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1871","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:18.787Z","metadata":{"doi":"10.25504/FAIRsharing.vfgn70","name":"MycoBrowser marinum","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://mycobrowser.epfl.ch/marinolist.html","identifier":1871,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria marinum information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://mycobrowser.epfl.ch/marinoblastsearch.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000334","bsg-d000334"],"name":"FAIRsharing record for: MycoBrowser marinum","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.vfgn70","doi":"10.25504/FAIRsharing.vfgn70","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria marinum information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium marinum"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1051,"fairsharing_record_id":1871,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.599Z","updated_at":"2021-09-30T09:24:54.599Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1872","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:53:04.839Z","metadata":{"doi":"10.25504/FAIRsharing.wxh9gn","name":"MycoBrowser smegmatis","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://mycobrowser.epfl.ch/smegmalist.html","identifier":1872,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria smegmatis information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://mycobrowser.epfl.ch/smegmablastsearch.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000335","bsg-d000335"],"name":"FAIRsharing record for: MycoBrowser smegmatis","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.wxh9gn","doi":"10.25504/FAIRsharing.wxh9gn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria smegmatis information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium smegmatis"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1052,"fairsharing_record_id":1872,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.641Z","updated_at":"2021-09-30T09:24:54.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1873","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T17:57:41.277Z","metadata":{"doi":"10.25504/FAIRsharing.6s44n0","name":"MycoBrowser tuberculosis","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://tuberculist.epfl.ch/","citations":[],"identifier":1873,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria tuberculosis information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"data_versioning":"not found","associated_tools":[{"url":"http://tuberculist.epfl.ch/blastsearch.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000336","bsg-d000336"],"name":"FAIRsharing record for: MycoBrowser tuberculosis","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6s44n0","doi":"10.25504/FAIRsharing.6s44n0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria tuberculosis information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium tuberculosis"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1053,"fairsharing_record_id":1873,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.682Z","updated_at":"2021-09-30T09:24:54.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1865","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:37:25.113Z","metadata":{"doi":"10.25504/FAIRsharing.mya1ff","name":"The European Genome-phenome Archive","status":"ready","contacts":[{"contact_name":"EGA Helpdesk","contact_email":"helpdesk@ega-archive.org"}],"homepage":"https://ega-archive.org/","citations":[{"doi":"10.1093/nar/gkab1059","pubmed_id":null,"publication_id":3236}],"identifier":1865,"description":"The European Genome-phenome Archive (EGA) is a service for permanent archiving and sharing of personally identifiable genetic, phenotypic, and clinical data generated for the purposes of biomedical research projects or in the context of research-focused healthcare systems. Access to data must be approved by the specified Data Access Committee (DAC).","abbreviation":"EGA","data_curation":{"type":"manual","notes":"Resource managers enrich the contents of the EGA contributing with our knowledge about genomics and the relationship between genomes and phenomes."},"support_links":[{"url":"https://ega-archive.org/access/faq","name":"Access FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ega-archive.org/about/ega/","name":"About EGA","type":"Help documentation"},{"url":"https://ega-archive.org/access/data-access","name":"Data Access Guide","type":"Help documentation"},{"url":"https://twitter.com/EGAarchive","name":"@EGAarchive","type":"Twitter"},{"url":"https://embl-ebi.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=58d299c7-7e25-4b48-8fc3-ad18011ef0b4","name":"How to use star2xml (video)","type":"Training documentation"},{"url":"https://embl-ebi.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=497e5189-5883-4290-941b-ad2800af6636","name":"Programmatic submission to EGA (video)","type":"Training documentation"},{"url":"https://blog.ega-archive.org/","name":"EGA Blog","type":"Blog/News"},{"url":"https://ega-archive.org/need-help/","name":"Help form","type":"Contact form"},{"url":"https://tess.elixir-europe.org/materials/ega-submitter-portal-tutorial","name":"EGA Submitter Portal Tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/introduction-to-exploring-genome-phenome-data-with-ega","name":"Introduction to exploring genome-phenome data with EGA","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/introduction-to-the-ega-and-its-ecosystem-of-tools","name":"Introduction to the EGA and its Ecosystem of Tools","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/the-essentials-of-duo-codes","name":"The essentials of DUO codes","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/hands-on-for-trio-analysis-using-synthetic-datasets-from-rd-connect-gpap-tutorial","name":"Hands-on for 'Trio Analysis using Synthetic Datasets from RD-Connect GPAP' tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/working-with-sensitive-data","name":"Working with sensitive data","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/european-genome-phenome-archive","name":"European Genome-phenome Archive: Quick tour","type":"TeSS links to training materials"},{"url":"https://github.com/EGA-archive","name":"GitHub repository","type":"Github"},{"url":"https://github.com/EbiEga","name":"GitHub EbiEga Repository","type":"Github"},{"url":"ega-announce@lists.ega-archive.org","name":"EGA Announcements Mailing List","type":"Mailing list"},{"url":"https://www.linkedin.com/company/88472098/admin/feed/posts/","name":"EGA LinkedIn Page","type":"Other"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://ega-archive.org/submission/data/file-preparation/egacryptor/","name":"EgaCryptor"},{"url":"https://ega-archive.org/submission/tools/ftp-aspera","name":"File Upload"},{"url":"https://pypi.org/project/pyega3/","name":"pyEGA3 - Secure Download Client"},{"url":"https://github.com/EGA-archive/star2xml","name":"Star2XML"},{"url":"https://github.com/EGA-archive/ega-fuse-client","name":"EGA FUSE client"},{"url":"https://submission.ega-archive.org/","name":"Submitter Portal"},{"url":"https://dac.ega-archive.org/","name":"DAC Portal"},{"url":"https://github.com/EGA-archive/ega-quickview","name":"EGA Quick View"},{"url":"https://ega-archive.org/access/download/metadata/","name":"Metadata API"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011242","name":"re3data:r3d100011242","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004944","name":"SciCrunch:RRID:SCR_004944","portal":"SciCrunch"}],"data_access_condition":{"type":"controlled","notes":"Data at EGA was collected from individuals whose consent agreements authorise data release only for specific research use to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the EGA project."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ega-archive.org/submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000328","bsg-d000328"],"name":"FAIRsharing record for: The European Genome-phenome Archive","abbreviation":"EGA","url":"https://fairsharing.org/10.25504/FAIRsharing.mya1ff","doi":"10.25504/FAIRsharing.mya1ff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Genome-phenome Archive (EGA) is a service for permanent archiving and sharing of personally identifiable genetic, phenotypic, and clinical data generated for the purposes of biomedical research projects or in the context of research-focused healthcare systems. Access to data must be approved by the specified Data Access Committee (DAC).","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10941},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11009},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11342},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11522},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11841},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12243},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12641},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12955},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14189}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Clinical Studies","Phenomics","Biomedical Science","Biology"],"domains":["DNA sequence data","Cancer","Genetic polymorphism","Rare disease","RNA sequencing","Microarray experiment","Whole genome sequencing","Phenotype","Disease phenotype","Genome","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19","Single cell gene expression"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2373,"pubmed_id":26111507,"title":"The European Genome-phenome Archive of human data consented for biomedical research.","year":2015,"url":"http://doi.org/10.1038/ng.3312","authors":"Lappalainen I,Almeida-King J,Kumanduri V et al.","journal":"Nat Genet","doi":"10.1038/ng.3312","created_at":"2021-09-30T08:26:51.694Z","updated_at":"2021-09-30T08:26:51.694Z"},{"id":3236,"pubmed_id":null,"title":"The European Genome-phenome Archive in 2021","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1059","authors":"Freeberg, Mallory Ann; Fromont, Lauren A; D’Altri, Teresa; Romero, Anna Foix; Ciges, Jorge Izquierdo; Jene, Aina; Kerry, Giselle; Moldes, Mauricio; Ariosa, Roberto; Bahena, Silvia; Barrowdale, Daniel; Barbero, Marcos Casado; Fernandez-Orth, Dietmar; Garcia-Linares, Carles; Garcia-Rios, Emilio; Haziza, Frédéric; Juhasz, Bela; Llobet, Oscar Martinez; Milla, Gemma; Mohan, Anand; Rueda, Manuel; Sankar, Aravind; Shaju, Dona; Shimpi, Ashutosh; Singh, Babita; Thomas, Coline; de la Torre, Sabela; Uyan, Umuthan; Vasallo, Claudia; Flicek, Paul; Guigo, Roderic; Navarro, Arcadi; Parkinson, Helen; Keane, Thomas; Rambla, Jordi; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1059","created_at":"2022-02-15T09:38:47.360Z","updated_at":"2022-02-15T09:38:47.360Z"}],"licence_links":[{"licence_name":"EGA Legal Notice and Terms of Data Use","licence_id":263,"licence_url":"https://ega-archive.org/legal-notice","link_id":1322,"relation":"undefined"}],"grants":[{"id":1032,"fairsharing_record_id":1865,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:53.865Z","updated_at":"2021-09-30T09:24:53.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Asuntos Economicos y Transformacion Digital","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1036,"fairsharing_record_id":1865,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:54.027Z","updated_at":"2021-09-30T09:24:54.027Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1033,"fairsharing_record_id":1865,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:24:53.908Z","updated_at":"2021-09-30T09:29:39.603Z","grant_id":347,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PT13/0001/0026","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1034,"fairsharing_record_id":1865,"organisation_id":479,"relation":"funds","created_at":"2021-09-30T09:24:53.959Z","updated_at":"2021-09-30T09:31:43.886Z","grant_id":1301,"is_lead":false,"saved_state":{"id":479,"name":"Centro de Excelencia Severo Ochoa","grant":"SEV-2012-0208","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9754,"fairsharing_record_id":1865,"organisation_id":3630,"relation":"maintains","created_at":"2022-08-03T07:16:13.691Z","updated_at":"2022-08-03T07:16:13.691Z","grant_id":null,"is_lead":true,"saved_state":{"id":3630,"name":"Centre for Genomic Regulation","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1035,"fairsharing_record_id":1865,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:53.995Z","updated_at":"2021-09-30T09:29:51.257Z","grant_id":436,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"WT 085475/C/08/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1037,"fairsharing_record_id":1865,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:54.054Z","updated_at":"2021-09-30T09:30:15.139Z","grant_id":622,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","grant":"G0800681","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZDg9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e00754101f557d66dde0a63d5347b36a704a76d8/ega-logo.png?disposition=inline","exhaustive_licences":true}},{"id":"1866","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-10T11:52:27.960Z","metadata":{"doi":"10.25504/FAIRsharing.tf6kj8","name":"Reactome","status":"ready","contacts":[{"contact_name":"Reactome Helpdesk","contact_email":"help@reactome.org"}],"homepage":"https://reactome.org","citations":[{"doi":"10.1093/nar/gkz1031","pubmed_id":31691815,"publication_id":2077}],"identifier":1866,"description":"The cornerstone of Reactome is a freely available, open source relational database of signaling and metabolic molecules and their relations organized into biological pathways and processes. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes, vaccines, anti-cancer therapeutics and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways. Examples of biological pathways in Reactome include classical intermediary metabolism, signaling, transcriptional regulation, apoptosis and disease. Inferred orthologous reactions are available for 15 non-human species including mouse, rat, chicken, zebrafish, worm, fly, and yeast.","abbreviation":null,"data_curation":{"url":"https://reactome.org/what-is-reactome","type":"manual"},"support_links":[{"url":"https://reactome.org/content/schema/DatabaseObject","name":"Data Schema","type":"Help documentation"},{"url":"https://reactome.org/documentation","name":"Reactome User Guide","type":"Help documentation"},{"url":"https://reactome.org/documentation/inferred-events","name":"Computationally-inferred Events","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/pathway-visualization-in-the-reactome-pathway-database","name":"Pathway visualization in the Reactome pathway database","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/reactome","name":"Reactome","type":"TeSS links to training materials"},{"url":"https://reactome.org/community/training","name":"Reactome Training Material","type":"Training documentation"},{"url":"https://twitter.com/reactome","name":"@reactome","type":"Twitter"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"https://reactome.org/tools/reactome-fiviz","name":"ReactomeFIVIz"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010861","name":"re3data:r3d100010861","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003485","name":"SciCrunch:RRID:SCR_003485","portal":"SciCrunch"}],"data_access_condition":{"url":"https://reactome.org/what-is-reactome","type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000329","bsg-d000329"],"name":"FAIRsharing record for: Reactome","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tf6kj8","doi":"10.25504/FAIRsharing.tf6kj8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The cornerstone of Reactome is a freely available, open source relational database of signaling and metabolic molecules and their relations organized into biological pathways and processes. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes, vaccines, anti-cancer therapeutics and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways. Examples of biological pathways in Reactome include classical intermediary metabolism, signaling, transcriptional regulation, apoptosis and disease. Inferred orthologous reactions are available for 15 non-human species including mouse, rat, chicken, zebrafish, worm, fly, and yeast.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11059},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11343},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11523},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12164},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12244},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12303},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12642},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16188}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Proteomics","Virology","Life Science","Metabolomics","Transcriptomics","Epidemiology"],"domains":["Reaction data","Protein interaction","Omics data analysis","Signaling","Biological regulation","Molecular interaction","Genetic interaction","Drug interaction","Curated information","Disease","Pathway model"],"taxonomies":["Bos taurus","Caenorhabditis elegans","Canis familiaris","Danio rerio","Dictyostelium discoideum","Drosophila melanogaster","Gallus gallus","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Plasmodium falciparum","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Sus scrofa","Xenopus tropicalis"],"user_defined_tags":["COVID-19"],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":1463,"pubmed_id":29145629,"title":"The Reactome Pathway Knowledgebase.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1132","authors":"Fabregat A,Jupe S,Matthews L,Sidiropoulos K,Gillespie M,Garapati P,Haw R,Jassal B,Korninger F,May B,Milacic M,Roca CD,Rothfels K,Sevilla C,Shamovsky V,Shorser S,Varusai T,Viteri G,Weiser J,Wu G,Stein L,Hermjakob H,D'Eustachio P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1132","created_at":"2021-09-30T08:25:03.473Z","updated_at":"2021-09-30T11:29:09.176Z"},{"id":2077,"pubmed_id":31691815,"title":"The reactome pathway knowledgebase.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1031","authors":"Jassal B,Matthews L,Viteri G,Gong C,Lorente P,Fabregat A,Sidiropoulos K,Cook J,Gillespie M,Haw R,Loney F,May B,Milacic M,Rothfels K,Sevilla C,Shamovsky V,Shorser S,Varusai T,Weiser J,Wu G,Stein L,Hermjakob H,D'Eustachio P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1031","created_at":"2021-09-30T08:26:14.155Z","updated_at":"2021-09-30T11:29:27.977Z"},{"id":2895,"pubmed_id":15608231,"title":"Reactome: a knowledgebase of biological pathways.","year":2004,"url":"http://doi.org/10.1093/nar/gki072","authors":"Joshi-Tope G., Gillespie M., Vastrik I., D'Eustachio P., Schmidt E., de Bono B., Jassal B., Gopinath GR., Wu GR., Matthews L., Lewis S., Birney E., Stein L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki072","created_at":"2021-09-30T08:27:56.474Z","updated_at":"2021-09-30T08:27:56.474Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1266,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1265,"relation":"undefined"},{"licence_name":"Reactome Licence Agreement","licence_id":701,"licence_url":"https://reactome.org/license","link_id":1267,"relation":"undefined"}],"grants":[{"id":1040,"fairsharing_record_id":1866,"organisation_id":2246,"relation":"maintains","created_at":"2021-09-30T09:24:54.170Z","updated_at":"2021-09-30T09:24:54.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":2246,"name":"Ontario Institute For Cancer Research (OICR), Toronto, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1039,"fairsharing_record_id":1866,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:54.130Z","updated_at":"2021-09-30T09:24:54.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1041,"fairsharing_record_id":1866,"organisation_id":2155,"relation":"maintains","created_at":"2021-09-30T09:24:54.207Z","updated_at":"2021-09-30T09:24:54.207Z","grant_id":null,"is_lead":false,"saved_state":{"id":2155,"name":"New York University Langone Medical Center (NYULMC), New York, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1042,"fairsharing_record_id":1866,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:24:54.246Z","updated_at":"2021-09-30T09:24:54.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1859","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:42.809Z","metadata":{"doi":"10.25504/FAIRsharing.hjybww","name":"Ligand-Gated Ion Channel database","status":"deprecated","contacts":[{"contact_name":"Nicolas Le Novere","contact_email":"lenov@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/compneur-srv/LGICdb/","identifier":1859,"description":"The Ligand-Gated Ion Channel database provides nucleic and proteic sequences of the subunits of ligand-gated ion channels. The database can be used to generate multiple sequence alignments from selected subunits, and gives the atomic coordinates of subunits, or portion of subunits, where available.","abbreviation":"LGICdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/compneur-srv/LGICdb/FAQ.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1994,"data_versioning":"not found","associated_tools":[{"url":"http://www.ebi.ac.uk/fasta/lgicp.html","name":"BLAST"}],"deprecation_date":"2016-12-30","deprecation_reason":"The database has been official frozen and no longer being actively maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000320","bsg-d000320"],"name":"FAIRsharing record for: Ligand-Gated Ion Channel database","abbreviation":"LGICdb","url":"https://fairsharing.org/10.25504/FAIRsharing.hjybww","doi":"10.25504/FAIRsharing.hjybww","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ligand-Gated Ion Channel database provides nucleic and proteic sequences of the subunits of ligand-gated ion channels. The database can be used to generate multiple sequence alignments from selected subunits, and gives the atomic coordinates of subunits, or portion of subunits, where available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science"],"domains":["Ligand","Ion channel activity","Protein","Sequence","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":369,"pubmed_id":9847222,"title":"The Ligand Gated Ion Channel Database.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.340","authors":"Le Novère N., Changeux JP.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/27.1.340","created_at":"2021-09-30T08:22:59.657Z","updated_at":"2021-09-30T08:22:59.657Z"},{"id":851,"pubmed_id":11125117,"title":"LGICdb: the ligand-gated ion channel database.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.294","authors":"Le Novere N,Changeux JP","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.294","created_at":"2021-09-30T08:23:53.926Z","updated_at":"2021-09-30T11:28:53.985Z"},{"id":1618,"pubmed_id":16381861,"title":"LGICdb: a manually curated sequence database after the genomes.","year":2005,"url":"http://doi.org/10.1093/nar/gkj104","authors":"Donizelli M,Djite MA,Le Novere N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj104","created_at":"2021-09-30T08:25:21.302Z","updated_at":"2021-09-30T11:29:16.227Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":491,"relation":"undefined"}],"grants":[{"id":1010,"fairsharing_record_id":1859,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:24:52.965Z","updated_at":"2021-09-30T09:24:52.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1008,"fairsharing_record_id":1859,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.895Z","updated_at":"2021-09-30T09:24:52.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1009,"fairsharing_record_id":1859,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:24:52.928Z","updated_at":"2021-09-30T09:24:52.928Z","grant_id":null,"is_lead":true,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1879","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:16.671Z","metadata":{"doi":"10.25504/FAIRsharing.f94905","name":"Eukaryotic Pathogen, Vector and Host Informatics Resource","status":"ready","contacts":[{"contact_name":"Christian J. Stoeckert Jr.","contact_email":"stoeckrt@pcbi.upenn.edu"}],"homepage":"https://veupathdb.org/veupathdb/app/","citations":[{"doi":"10.1007/978-1-4939-7737-6_5","pubmed_id":29761457,"publication_id":1203}],"identifier":1879,"description":"The Eukaryotic Pathogen, Vector and Host Informatics Resource (VEuPathDB) focuses on eukaryotic pathogens and invertebrate vectors of infectious diseases, , encompassing data from prior resources devoted to parasitic species (EuPathDB), fungi (FungiDB) and vector species (VectorBase). While each of the taxonomic groups within this resource is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all of these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"VEuPathDB","data_curation":{"url":"https://veupathdb.org/veupathdb/app/#curation","type":"manual/automated"},"support_links":[{"url":"https://veupathdb.org/veupathdb/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://veupathdb.org/veupathdb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/static-content/glossary.html","name":"VEuPathDB Glossary","type":"Help documentation"},{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_User_Documentation.pdf","name":"User Documentation (PDF)","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/search/organism/GenomeDataTypes/result","name":"Statistics","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/static-content/about.html","name":"About Us","type":"Help documentation"},{"url":"https://veupathdb.org/pubcrawler/EuPathDB/","name":"Related Publications","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/static-content/methods.html","name":"Data Analysis Methods","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011557","name":"re3data:r3d100011557","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004512","name":"SciCrunch:RRID:SCR_004512","portal":"SciCrunch"}],"data_access_condition":{"url":"https://veupathdb.org/veupathdb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://veupathdb.org/veupathdb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://veupathdb.org/veupathdb/app/#submit-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000344","bsg-d000344"],"name":"FAIRsharing record for: Eukaryotic Pathogen, Vector and Host Informatics Resource","abbreviation":"VEuPathDB","url":"https://fairsharing.org/10.25504/FAIRsharing.f94905","doi":"10.25504/FAIRsharing.f94905","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Eukaryotic Pathogen, Vector and Host Informatics Resource (VEuPathDB) focuses on eukaryotic pathogens and invertebrate vectors of infectious diseases, , encompassing data from prior resources devoted to parasitic species (EuPathDB), fungi (FungiDB) and vector species (VectorBase). While each of the taxonomic groups within this resource is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all of these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10767},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10943},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11060},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11346},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12145},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16182}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Molecular biology","Medical Microbiology","Applied Microbiology","Epigenomics","Molecular Infection Biology","Metagenomics","Genomics","Epigenetics","Bioinformatics","Data Mining","Structural Biology","Clinical Studies","Public Health","Health Science","Data Management","Proteomics","Data Quality","Phylogenetics","Immunology","Entomology","Quantitative Genetics","Microbial Genetics","Structural Genomics","Metatranscriptomics","Infectious Disease Medicine","Proteogenomics","Biotechnology","Evolutionary Biology","Molecular Microbiology","Computational Biology","Phylogenomics","Molecular Genetics","Metabolomics","Transcriptomics","Cell Biology","Phenomics","Database Management","Biomedical Science","Comparative Genomics","Parasitology","Microbiology","Omics","Biology","Tropical Medicine","Epidemiology","Systems Biology","Population Genetics"],"domains":["Functional domain","RNA secondary structure","Molecular structure","GC content","Gene report","Protein name","Sequence position","Sequence cluster","Polymerase chain reaction primers","Sequence length","Genetic map","Physical map","Cytogenetic map","Genome map","Nucleic acid sequence alignment","Sequence similarity","Protein structure","Protein domain","Structure alignment (pair)","Codon usage table","Taxonomic classification","Gene name","Resource metadata","Expression data","Nucleic acid sequence","Peptide property","Experimental measurement","Raw microarray data","Biological sample annotation","Protein image","DNA sequence data","RNA sequence","Free text","Geographical location","Gene Ontology enrichment","Annotation","Transmembrane protein prediction","Structure-based sequence alignment","Text mining","Sequence annotation","Genome annotation","PTM site prediction","Transcription factor binding site prediction","Multiple sequence alignment","Genomic assembly","Data retrieval","Computational biological predictions","Validation","Gene prediction","Genome alignment","Genome visualization","Differential gene expression analysis","Clustering","Gene functional annotation","Protein identification","Quantification","Biological network analysis","Protein interaction","Sequence composition, complexity and repeats","Model organism","Function analysis","Data acquisition","DNA structural variation","Biobank","Data identity and mapping","Histone","Carbohydrate","Peptide","Deoxyribonucleic acid","Ribosomal RNA","Metabolite","Nucleic acid","Ribonucleic acid","C-terminal amino acid residue","N-terminal amino acid residue","Nucleotide","Cell line","Cell","Malaria","Tropical","Microscopy","Peptide library","Video","Cellular assay","Next generation DNA sequencing","Quality control","RNAi screening","Omics data analysis","Proteome","Gene model annotation","Alternative splicing","Centromere","Molecular function","Chromatin binding","Cellular component","Nucleus","Chromosome","Mitochondrion","DNA methylation","Translation","Translation initiation","Protein folding","Protein localization","Biological process","RNA splicing","RNA modification","Plastid","Gene expression","Organelle","Post-translational protein modification","Cellular localization","Chromosomal region","Parasite","Pathogen","Evolution","Genetic polymorphism","Transcription factor","Protein Analysis","Protein expression","Workflow","Rare disease","Biological sample","Assay","Polymerase Chain Reaction","Enzyme","Plasmid","Protein expression profiling","DNA sequencing assay","Chromatin immunoprecipitation - DNA sequencing","Host","RNA sequencing","Microarray experiment","Whole genome sequencing","Sequence alignment","Data transformation","Digital curation","Sequencing","Infection","Gene regulatory element","Genetic marker","Phenotype","Disease phenotype","Disease","Mitochondrial genome","Protein","Sequence","Transposable element","Sequence feature","Primer","Exon","Contig","Sequencing read","Splice site","Promoter","Intron","Untranslated region","Messenger RNA","Flanking region","Transfer RNA","Micro RNA","Microsatellite","Experimentally determined","Coding sequence","Pseudogene","Binding site","Signal peptide","Non-coding RNA","Transcript","Single nucleotide polymorphism","Gene","Tandem repeat","Mitochondrial sequence","Plastid sequence","Amino acid sequence","Homologous","Orthologous","Paralogous","16S rRNA","Allele","Genome","Mobile genetic element","Sequence variant","Reference genome","Sequence motif","Long non-coding RNA","Genome-wide association study","Allele frequency","Blood","Genotype","Copy number variation","Microbiome","Infectious disease","FAIR","Biocuration"],"taxonomies":["Acanthamoeba","Aedes aegypti","Anncaliia","Anopheles gambiae","Babesia","Crithidia","Cryptosporidium","Edhazardia","Eimeria","Encephalitozoon","Endotrypanum","Entamoeba","Enterocytozoon","Giardia","Gregarina","Hamiltosporidium","Leishmania","Nematocida","Neospora","Nosema","Plasmodium","Theileria","Toxoplasma","Trichomonas","Trypanosoma","Vavraia","Vittaforma"],"user_defined_tags":[],"countries":["Uganda","United Kingdom","United States"],"publications":[{"id":4,"pubmed_id":25388105,"title":"The Eukaryotic Pathogen Databases: a functional genomic resource integrating data from human and veterinary parasites.","year":2014,"url":"http://doi.org/10.1007/978-1-4939-1438-8_1","authors":"Harb OS,Roos DS","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-1438-8_1","created_at":"2021-09-30T08:22:20.997Z","updated_at":"2021-09-30T08:22:20.997Z"},{"id":72,"pubmed_id":19914931,"title":"EuPathDB: a portal to eukaryotic pathogen databases.","year":2009,"url":"http://doi.org/10.1093/nar/gkp941","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp941","created_at":"2021-09-30T08:22:27.954Z","updated_at":"2021-09-30T08:22:27.954Z"},{"id":1199,"pubmed_id":24936976,"title":"Standardized metadata for human pathogen/vector genomic sequences.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0099979","authors":"Dugan VG,Emrich SJ,Giraldo-Calderon GI et al.","journal":"PLoS One","doi":"10.1371/journal.pone.0099979","created_at":"2021-09-30T08:24:33.566Z","updated_at":"2021-09-30T08:24:33.566Z"},{"id":1203,"pubmed_id":29761457,"title":"EuPathDB: The Eukaryotic Pathogen Genomics Database Resource.","year":2018,"url":"http://doi.org/10.1007/978-1-4939-7737-6_5","authors":"Warrenfeltz S,Basenko EY,Crouch K,Harb OS,Kissinger JC,Roos DS,Shanmugasundram A,Silva-Franco F","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-7737-6_5","created_at":"2021-09-30T08:24:34.049Z","updated_at":"2021-09-30T08:24:34.049Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2384,"relation":"undefined"}],"grants":[{"id":9583,"fairsharing_record_id":1879,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:25:38.222Z","updated_at":"2022-06-08T09:25:38.222Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1075,"fairsharing_record_id":1879,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:24:55.502Z","updated_at":"2021-09-30T09:24:55.502Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1073,"fairsharing_record_id":1879,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.449Z","updated_at":"2021-09-30T09:31:28.002Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1076,"fairsharing_record_id":1879,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.533Z","updated_at":"2021-09-30T09:29:56.410Z","grant_id":478,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN75N93019C00077","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8357,"fairsharing_record_id":1879,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.745Z","updated_at":"2021-09-30T09:32:14.953Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdElCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--941f7c569c6270abb4b4514405a92ab928ae6952/VEuPathDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1880","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:24.293Z","metadata":{"doi":"10.25504/FAIRsharing.e7skwg","name":"GiardiaDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"http://giardiadb.org","citations":[],"identifier":1880,"description":"A detailed study of Giardia lamblia's genome will provide insights into an early evolutionary stage of eukaryotic chromosome organization as well as other aspects of the prokaryotic / eukaryotic divergence.","abbreviation":"GiardiaDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://giardiadb.org/giardiadb/contact.do","type":"Contact form"},{"url":"http://giardiadb.org/giardiadb/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Help documentation"},{"url":"https://twitter.com/EuPathDB","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://giardiadb.org/giardiadb/showQuestion.do?questionFullName=UniversalQuestions.UnifiedBlast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012458","name":"re3data:r3d100012458","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013377","name":"SciCrunch:RRID:SCR_013377","portal":"SciCrunch"}],"data_access_condition":{"url":"https://giardiadb.org/giardiadb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://giardiadb.org/giardiadb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://giardiadb.org/giardiadb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000345","bsg-d000345"],"name":"FAIRsharing record for: GiardiaDB","abbreviation":"GiardiaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.e7skwg","doi":"10.25504/FAIRsharing.e7skwg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A detailed study of Giardia lamblia's genome will provide insights into an early evolutionary stage of eukaryotic chromosome organization as well as other aspects of the prokaryotic / eukaryotic divergence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Chromosome","Genome"],"taxonomies":["Eukaryota","Giardia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1523,"pubmed_id":18824479,"title":"GiardiaDB and TrichDB: integrated genomic resources for the eukaryotic protist pathogens Giardia lamblia and Trichomonas vaginalis.","year":2008,"url":"http://doi.org/10.1093/nar/gkn631","authors":"Aurrecoechea C et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn631","created_at":"2021-09-30T08:25:10.519Z","updated_at":"2021-09-30T08:25:10.519Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":354,"relation":"undefined"}],"grants":[{"id":9582,"fairsharing_record_id":1880,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:25:19.384Z","updated_at":"2022-06-08T09:25:19.384Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1077,"fairsharing_record_id":1880,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.573Z","updated_at":"2021-09-30T09:31:16.692Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0a300e6d973384cb689695662f5f52a5435657a7/giardiaDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1881","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:15.306Z","metadata":{"doi":"10.25504/FAIRsharing.vk0ax6","name":"MicrosporidiaDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"http://microsporidiadb.org/micro/","citations":[],"identifier":1881,"description":"MicrosporidiaDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"MicrosporidiaDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://microsporidiadb.org/micro/contact.do","type":"Contact form"},{"url":"http://microsporidiadb.org/micro/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Help documentation"},{"url":"https://twitter.com/EuPathDB","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://microsporidiadb.org/micro/app/workspace/blast/new","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012459","name":"re3data:r3d100012459","portal":"re3data"}],"data_access_condition":{"url":"https://microsporidiadb.org/micro/app/static-content/about.html#about_use","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://microsporidiadb.org/micro/app/static-content/dataSubmission.html","type":"controlled","notes":"Genomic data must come from INSDC"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000346","bsg-d000346"],"name":"FAIRsharing record for: MicrosporidiaDB","abbreviation":"MicrosporidiaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.vk0ax6","doi":"10.25504/FAIRsharing.vk0ax6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MicrosporidiaDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Pathogen","Genome"],"taxonomies":["Eukaryota","Microsporidia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":72,"pubmed_id":19914931,"title":"EuPathDB: a portal to eukaryotic pathogen databases.","year":2009,"url":"http://doi.org/10.1093/nar/gkp941","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp941","created_at":"2021-09-30T08:22:27.954Z","updated_at":"2021-09-30T08:22:27.954Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":355,"relation":"undefined"}],"grants":[{"id":9581,"fairsharing_record_id":1881,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:59.509Z","updated_at":"2022-06-08T09:24:59.509Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1078,"fairsharing_record_id":1881,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.604Z","updated_at":"2021-09-30T09:31:16.706Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdFFCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--17bd3e34271f701973b3f0f86f7985d08b624bbb/microsporidiaDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1894","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:13.100Z","metadata":{"doi":"10.25504/FAIRsharing.88b6b5","name":"Protein Classification Benchmark Collection","status":"deprecated","contacts":[{"contact_email":"benchmark@icgeb.org"}],"homepage":"http://net.icgeb.org/benchmark/","identifier":1894,"description":"The Protein Classification Benchmark Collection was created in order to create standard datasets on which the performance of machine learning methods can be compared.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://net.icgeb.org/benchmark/index.php?page=30","type":"Help documentation"},{"url":"http://net.icgeb.org/benchmark/index.php?page=01","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://net.icgeb.org/benchmark/index.php?page=10","name":"browse"},{"url":"http://net.icgeb.org/benchmark/index.php?page=60","name":"submit"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000359","bsg-d000359"],"name":"FAIRsharing record for: Protein Classification Benchmark Collection","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.88b6b5","doi":"10.25504/FAIRsharing.88b6b5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Classification Benchmark Collection was created in order to create standard datasets on which the performance of machine learning methods can be compared.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[],"licence_links":[],"grants":[{"id":1121,"fairsharing_record_id":1894,"organisation_id":1477,"relation":"maintains","created_at":"2021-09-30T09:24:56.912Z","updated_at":"2021-09-30T09:24:56.912Z","grant_id":null,"is_lead":false,"saved_state":{"id":1477,"name":"International Centre Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1122,"fairsharing_record_id":1894,"organisation_id":1598,"relation":"maintains","created_at":"2021-09-30T09:24:56.936Z","updated_at":"2021-09-30T09:24:56.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1598,"name":"Jedlik Laboratories: Bioinformatics, Faculty of Information Technology, Pzmny Pter Catholic University, Budapest, Hungary","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1124,"fairsharing_record_id":1894,"organisation_id":37,"relation":"funds","created_at":"2021-09-30T09:24:56.986Z","updated_at":"2021-09-30T09:29:41.595Z","grant_id":361,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","grant":"IAF311011","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1123,"fairsharing_record_id":1894,"organisation_id":2064,"relation":"funds","created_at":"2021-09-30T09:24:56.963Z","updated_at":"2021-09-30T09:29:45.704Z","grant_id":390,"is_lead":false,"saved_state":{"id":2064,"name":"National Research, Development and Innovation Office (NKFIH), Budapest, Hungary","grant":"TET 10-1-2011-0058","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7916,"fairsharing_record_id":1894,"organisation_id":37,"relation":"funds","created_at":"2021-09-30T09:29:41.734Z","updated_at":"2021-09-30T09:29:41.781Z","grant_id":362,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","grant":"IAF311010","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1895","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-08T11:04:04.216Z","metadata":{"doi":"10.25504/FAIRsharing.sed5tq","name":"BAliBASE","status":"deprecated","contacts":[{"contact_name":"Julie Thompson","contact_email":"julie@igbmc.u-strasbg.fr"}],"homepage":"http://www.lbgi.fr/balibase/","citations":[],"identifier":1895,"description":"BAliBASE; a benchmark alignment database, including enhancements for repeats, transmembrane sequences and circular permutations.","abbreviation":"BAliBASE","data_curation":{"type":"not found"},"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012946","name":"re3data:r3d100012946","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001940","name":"SciCrunch:RRID:SCR_001940","portal":"SciCrunch"}],"deprecation_date":"2024-07-08","deprecation_reason":"The different pages on the website are no longer available. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000360","bsg-d000360"],"name":"FAIRsharing record for: BAliBASE","abbreviation":"BAliBASE","url":"https://fairsharing.org/10.25504/FAIRsharing.sed5tq","doi":"10.25504/FAIRsharing.sed5tq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BAliBASE; a benchmark alignment database, including enhancements for repeats, transmembrane sequences and circular permutations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Deoxyribonucleic acid","Sequence alignment","Sequence","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":390,"pubmed_id":11125126,"title":"BAliBASE (Benchmark Alignment dataBASE): enhancements for repeats, transmembrane sequences and circular permutations.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.323","authors":"Bahr A., Thompson JD., Thierry JC., Poch O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.323","created_at":"2021-09-30T08:23:02.274Z","updated_at":"2021-09-30T08:23:02.274Z"},{"id":1293,"pubmed_id":16044462,"title":"BAliBASE 3.0: latest developments of the multiple sequence alignment benchmark.","year":2005,"url":"http://doi.org/10.1002/prot.20527","authors":"Thompson JD,Koehl P,Ripp R,Poch O","journal":"Proteins","doi":"10.1002/prot.20527","created_at":"2021-09-30T08:24:44.309Z","updated_at":"2021-09-30T08:24:44.309Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":385,"relation":"undefined"}],"grants":[{"id":1125,"fairsharing_record_id":1895,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:24:57.012Z","updated_at":"2021-09-30T09:24:57.012Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1128,"fairsharing_record_id":1895,"organisation_id":1708,"relation":"funds","created_at":"2021-09-30T09:24:57.160Z","updated_at":"2021-09-30T09:24:57.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1708,"name":"Les Hopitaux Universitaires de Strasbourg, Strasbourg, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1126,"fairsharing_record_id":1895,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:24:57.084Z","updated_at":"2021-09-30T09:24:57.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1127,"fairsharing_record_id":1895,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.122Z","updated_at":"2021-09-30T09:24:57.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1896","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:02:50.863Z","metadata":{"doi":"10.25504/FAIRsharing.wqyw8s","name":"Interrupted coding sequences","status":"deprecated","contacts":[{"contact_name":"Odile Lecompte","contact_email":"Odile.Lecompte@igbmc.fr"}],"homepage":"http://www-bio3d-igbmc.u-strasbg.fr/ICDS/","identifier":1896,"description":"ICDS database is a database containing ICDS detected by a similarity-based approach. The definition of each interrupted gene is provided as well as the ICDS genomic localisation with the surrounding sequence.","abbreviation":"ICDS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www-bio3d-igbmc.u-strasbg.fr/ICDS/help.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www-bio3d-igbmc.u-strasbg.fr/ICDS/","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000361","bsg-d000361"],"name":"FAIRsharing record for: Interrupted coding sequences","abbreviation":"ICDS","url":"https://fairsharing.org/10.25504/FAIRsharing.wqyw8s","doi":"10.25504/FAIRsharing.wqyw8s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ICDS database is a database containing ICDS detected by a similarity-based approach. The definition of each interrupted gene is provided as well as the ICDS genomic localisation with the surrounding sequence.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12646}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Gene"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":393,"pubmed_id":16381882,"title":"ICDS database: interrupted CoDing sequences in prokaryotic genomes.","year":2005,"url":"http://doi.org/10.1093/nar/gkj060","authors":"Perrodou E., Deshayes C., Muller J., Schaeffer C., Van Dorsselaer A., Ripp R., Poch O., Reyrat JM., Lecompte O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj060","created_at":"2021-09-30T08:23:02.679Z","updated_at":"2021-09-30T08:23:02.679Z"}],"licence_links":[],"grants":[{"id":1131,"fairsharing_record_id":1896,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:24:57.253Z","updated_at":"2021-09-30T09:24:57.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1129,"fairsharing_record_id":1896,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.199Z","updated_at":"2021-09-30T09:24:57.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1130,"fairsharing_record_id":1896,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:57.230Z","updated_at":"2021-09-30T09:24:57.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1132,"fairsharing_record_id":1896,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:24:57.278Z","updated_at":"2021-09-30T09:24:57.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1897","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:38.488Z","metadata":{"doi":"10.25504/FAIRsharing.8ggr5j","name":"PeroxisomeDB","status":"ready","contacts":[{"contact_email":"apujol@idibell.cat"}],"homepage":"http://www.peroxisomedb.org","citations":[],"identifier":1897,"description":"The aim of PEROXISOME database (PeroxisomeDB) is to gather, organise and integrate curated information on peroxisomal genes, their encoded proteins, their molecular function and metabolic pathway they belong to, and their related disorders.","abbreviation":"PeroxisomeDB","data_curation":{"url":"http://www.peroxisomedb.org/","type":"manual/automated","notes":"The aim of PEROXISOME database (PeroxisomeDB) is to gather, organise and integrate curated information on peroxisomal genes,"},"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000362","bsg-d000362"],"name":"FAIRsharing record for: PeroxisomeDB","abbreviation":"PeroxisomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.8ggr5j","doi":"10.25504/FAIRsharing.8ggr5j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of PEROXISOME database (PeroxisomeDB) is to gather, organise and integrate curated information on peroxisomal genes, their encoded proteins, their molecular function and metabolic pathway they belong to, and their related disorders.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Proteomics","Metabolomics"],"domains":["Molecular function","Protein","Pathway model","Gene"],"taxonomies":["Homo sapiens","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["France","Spain"],"publications":[{"id":391,"pubmed_id":19892824,"title":"PeroxisomeDB 2.0: an integrative view of the global peroxisomal metabolome.","year":2009,"url":"http://doi.org/10.1093/nar/gkp935","authors":"Schlüter A., Real-Chicharro A., Gabaldón T., Sánchez-Jiménez F., Pujol A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp935","created_at":"2021-09-30T08:23:02.417Z","updated_at":"2021-09-30T08:23:02.417Z"}],"licence_links":[{"licence_name":"PeroxisomeDB Attribution required","licence_id":658,"licence_url":"http://www.peroxisomedb.org/","link_id":2406,"relation":"undefined"}],"grants":[{"id":1135,"fairsharing_record_id":1897,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.355Z","updated_at":"2021-09-30T09:24:57.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1133,"fairsharing_record_id":1897,"organisation_id":2140,"relation":"maintains","created_at":"2021-09-30T09:24:57.304Z","updated_at":"2021-09-30T09:24:57.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":2140,"name":"Neurometabolic Disease Lab, Institut d'Investigacia Biomedica de Bellvitge, Barcelona, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1134,"fairsharing_record_id":1897,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:24:57.328Z","updated_at":"2021-09-30T09:24:57.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbXdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--dbd2a4cc26b3f94d77f536adfcafc106acf404e1/CELL-peroxisome-250.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1898","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-02T07:58:33.100Z","metadata":{"doi":"10.25504/FAIRsharing.8d3ka8","name":"ImMunoGeneTics Information System","status":"ready","contacts":[{"contact_name":"Marie-Paule Lefranc","contact_email":"Marie-Paule.Lefranc@igh.cnrs.fr"}],"homepage":"https://www.imgt.org/","citations":[],"identifier":1898,"description":"IMGT is a high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility complex (MHC) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), major histocompatibility complex superfamily (MhcSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates.","abbreviation":"IMGT","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.imgt.org/FAQ/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.imgt.org/download/LIGM-DB/userman_doc.html","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTScientificChart/","name":"IMGT Scientific chart","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTindex/","name":"IMGT Index","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTbloc-notes/","name":"IMGT Bloc-notes","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTposters/","name":"IMGT Posters and diaporama","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTmedical/","name":"IMGT Medical page","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTveterinary/","name":"IMGT Veterinary page","type":"Help documentation"},{"url":"http://www.imgt.org/about/immunoinformatics.php","name":"IMGT Immunoinformatics page","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTbiotechnology/","name":"IMGT Biotechnology page","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTrepertoire/","name":"IMGT Repertoire (IG and TR)","type":"Help documentation"},{"url":"http://www.imgt.org/rss/","name":"Latest news","type":"Blog/News"},{"url":"http://www.imgt.org/IMGTeducation/","name":"IMGT Education","type":"Training documentation"}],"year_creation":1989,"data_versioning":"no","associated_tools":[{"url":"http://www.imgt.org/HighV-QUEST/home.action","name":"IMGT/HighV-QUEST 1.6.5"},{"url":"http://www.imgt.org/StatClonotype/","name":"IMGT/StatClonotype 1.0.3"},{"url":"http://www.imgt.org/IMGT_vquest/vquest","name":"IMGT/V-QUEST 3.4.17"},{"url":"http://www.imgt.org/IMGT_jcta/jcta?livret=0","name":"IMGT/JunctionAnalysis 2.1.9"},{"url":"http://www.imgt.org/Allele-Align/","name":"IMGT/Allele-Align"},{"url":"http://www.imgt.org/genefrequency/query","name":"IMGT/GeneFrequency 2.0.0"},{"url":"http://www.imgt.org/3Dstructure-DB/cgi/DomainGapAlign.cgi","name":"IMGT/DomainGapAlign 4.9.2"},{"url":"http://www.imgt.org/3Dstructure-DB/cgi/Collier-de-Perles.cgi","name":"IMGT/Collier-de-Perles 2.0.0"},{"url":"http://www.imgt.org/3Dstructure-DB/cgi/DomainSuperimpose.cgi","name":"IMGT/DomainSuperimpose"},{"url":"http://www.imgt.org/3Dstructure-DB/","name":"IMGT/StructuralQuery 4.12.2"}],"data_access_condition":{"url":"https://www.imgt.org/#termsofuse","type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000363","bsg-d000363"],"name":"FAIRsharing record for: ImMunoGeneTics Information System","abbreviation":"IMGT","url":"https://fairsharing.org/10.25504/FAIRsharing.8d3ka8","doi":"10.25504/FAIRsharing.8d3ka8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IMGT is a high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility complex (MHC) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), major histocompatibility complex superfamily (MhcSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11347},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12165}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunogenetics","Genetics","Immunology","Life Science"],"domains":["Nucleic acid sequence","Antigen","Immunoglobulin complex","Antibody","Chromosomal region","Small molecule","Receptor","Major histocompatibility complex","Protein","Allele","Genome","Immune system"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":386,"pubmed_id":18978023,"title":"IMGT, the international ImMunoGeneTics information system.","year":2008,"url":"http://doi.org/10.1093/nar/gkn838","authors":"Lefranc MP., Giudicelli V., Ginestoux C., Jabado-Michaloud J., Folch G., Bellahcene F., Wu Y., Gemrot E., Brochet X., Lane J., Regnier L., Ehrenmann F., Lefranc G., Duroux P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn838","created_at":"2021-09-30T08:23:01.849Z","updated_at":"2021-09-30T08:23:01.849Z"},{"id":2419,"pubmed_id":10592230,"title":"IMGT, the international ImMunoGeneTics database.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.219","authors":"Ruiz M,Giudicelli V,Ginestoux C,Stoehr P,Robinson J,Bodmer J,Marsh SG,Bontrop R,Lemaitre M,Lefranc G,Chaume D,Lefranc MP","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.219","created_at":"2021-09-30T08:26:56.848Z","updated_at":"2021-09-30T11:29:35.537Z"},{"id":2420,"pubmed_id":11125093,"title":"IMGT, the international ImMunoGeneTics database.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.207","authors":"Lefranc MP","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.207","created_at":"2021-09-30T08:26:56.957Z","updated_at":"2021-09-30T11:29:35.629Z"},{"id":2455,"pubmed_id":25378316,"title":"IMGT(R), the international ImMunoGeneTics information system(R) 25 years on.","year":2014,"url":"http://doi.org/10.1093/nar/gku1056","authors":"Lefranc MP,Giudicelli V,Duroux P,Jabado-Michaloud J,Folch G,Aouinti S,Carillon E,Duvergey H,Houles A,Paysan-Lafosse T,Hadi-Saljoqi S,Sasorith S,Lefranc G,Kossida S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1056","created_at":"2021-09-30T08:27:01.126Z","updated_at":"2021-09-30T11:29:36.287Z"},{"id":2456,"pubmed_id":9399859,"title":"IMGT, the International ImMunoGeneTics database.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.297","authors":"Lefranc MP,Giudicelli V,Busin C,Bodmer J,Muller W,Bontrop R,Lemaitre M,Malik A,Chaume D","journal":"Nucleic Acids Research","doi":"10.1093/nar/26.1.297","created_at":"2021-09-30T08:27:01.241Z","updated_at":"2021-09-30T11:29:36.436Z"},{"id":2457,"pubmed_id":15608269,"title":"IMGT, the international ImMunoGeneTics information system.","year":2004,"url":"http://doi.org/10.1093/nar/gki065","authors":"Lefranc MP,Giudicelli V,Kaas Q,Duprat E,Jabado-Michaloud J,Scaviner D,Ginestoux C,Clement O,Chaume D,Lefranc G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki065","created_at":"2021-09-30T08:27:01.400Z","updated_at":"2021-09-30T11:29:36.536Z"}],"licence_links":[{"licence_name":"IMGT Academic use","licence_id":430,"licence_url":"http://www.imgt.org/about/termsofuse.php","link_id":337,"relation":"undefined"},{"licence_name":"IMGT Terms of Use","licence_id":431,"licence_url":"http://imgt.org/about/termsofuse.php","link_id":338,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":335,"relation":"undefined"}],"grants":[{"id":1145,"fairsharing_record_id":1898,"organisation_id":893,"relation":"funds","created_at":"2021-09-30T09:24:57.660Z","updated_at":"2021-09-30T09:29:12.960Z","grant_id":142,"is_lead":false,"saved_state":{"id":893,"name":"EU ImmunoGrid","grant":"IST-028069","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1137,"fairsharing_record_id":1898,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:57.405Z","updated_at":"2021-09-30T09:30:53.807Z","grant_id":923,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"BIOSYS06_135457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1142,"fairsharing_record_id":1898,"organisation_id":262,"relation":"funds","created_at":"2021-09-30T09:24:57.552Z","updated_at":"2021-09-30T09:32:19.669Z","grant_id":1568,"is_lead":false,"saved_state":{"id":262,"name":"BIOMED1 European Union","grant":"BIOCT930038","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1143,"fairsharing_record_id":1898,"organisation_id":885,"relation":"funds","created_at":"2021-09-30T09:24:57.590Z","updated_at":"2021-09-30T09:31:54.679Z","grant_id":1382,"is_lead":false,"saved_state":{"id":885,"name":"EU BIOTECH","grant":"BIO4CT96-0037","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1136,"fairsharing_record_id":1898,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:57.379Z","updated_at":"2021-09-30T09:24:57.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1139,"fairsharing_record_id":1898,"organisation_id":3101,"relation":"funds","created_at":"2021-09-30T09:24:57.455Z","updated_at":"2021-09-30T09:24:57.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1144,"fairsharing_record_id":1898,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.623Z","updated_at":"2021-09-30T09:24:57.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":8150,"fairsharing_record_id":1898,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:31:12.364Z","updated_at":"2021-09-30T09:31:12.409Z","grant_id":1063,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-10-LABX-53–01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8875,"fairsharing_record_id":1898,"organisation_id":915,"relation":"funds","created_at":"2022-02-10T17:42:38.107Z","updated_at":"2022-02-10T17:42:38.107Z","grant_id":1829,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"Q L G2-2000-01287","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1138,"fairsharing_record_id":1898,"organisation_id":1059,"relation":"funds","created_at":"2021-09-30T09:24:57.428Z","updated_at":"2021-09-30T09:24:57.428Z","grant_id":null,"is_lead":false,"saved_state":{"id":1059,"name":"French Ministry of Education, Research and Innovation, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1140,"fairsharing_record_id":1898,"organisation_id":1495,"relation":"maintains","created_at":"2021-09-30T09:24:57.478Z","updated_at":"2021-09-30T09:24:57.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":1495,"name":"International ImMunoGeneTics information system (IMGT), Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1899","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:56.131Z","metadata":{"doi":"10.25504/FAIRsharing.7mnebr","name":"Annotated regulatory Binding Sites from Orthologous Promoters","status":"ready","contacts":[{"contact_name":"Enrique Blanco","contact_email":"enrique.blanco@crg.eu","contact_orcid":"0000-0001-6261-7370"},{"contact_name":"Emilio Palumbo","contact_email":"emilio.palumbo@crg.eu","contact_orcid":null},{"contact_name":"Roderic Guigo Serra","contact_email":"roderic.guigo@crg.eu","contact_orcid":null}],"homepage":"https://genome.crg.es/datasets/abs2005/","citations":[],"identifier":1899,"description":"ABS is a database of Annotated regulatory Binding Sites from known binding sites identified in promoters of orthologous vertebrate genes.","abbreviation":"ABS","data_curation":{"url":"https://genome.crg.es/datasets/abs2005/docs.html","type":"manual/automated"},"support_links":[{"url":"http://genome.crg.es/datasets/abs2005/docs.html","type":"Help documentation"},{"url":"http://genome.crg.es/datasets/abs2005/tour.html","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://genome.crg.es/datasets/abs2005/constructor.html","name":"analyze"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000364","bsg-d000364"],"name":"FAIRsharing record for: Annotated regulatory Binding Sites from Orthologous Promoters","abbreviation":"ABS","url":"https://fairsharing.org/10.25504/FAIRsharing.7mnebr","doi":"10.25504/FAIRsharing.7mnebr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ABS is a database of Annotated regulatory Binding Sites from known binding sites identified in promoters of orthologous vertebrate genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Regulation of gene expression","Biological regulation","Molecular interaction","Promoter","Binding site","Gene"],"taxonomies":["Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":381,"pubmed_id":16381947,"title":"ABS: a database of Annotated regulatory Binding Sites from orthologous promoters.","year":2005,"url":"http://doi.org/10.1093/nar/gkj116","authors":"Blanco E., Farré D., Albà MM., Messeguer X., Guigó R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj116","created_at":"2021-09-30T08:23:01.309Z","updated_at":"2021-09-30T08:23:01.309Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":405,"relation":"undefined"}],"grants":[{"id":9035,"fairsharing_record_id":1899,"organisation_id":1852,"relation":"funds","created_at":"2022-03-28T09:40:48.991Z","updated_at":"2022-03-28T09:40:48.991Z","grant_id":426,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2002-04426-C02-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1147,"fairsharing_record_id":1899,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.730Z","updated_at":"2021-09-30T09:24:57.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1148,"fairsharing_record_id":1899,"organisation_id":2497,"relation":"maintains","created_at":"2021-09-30T09:24:57.770Z","updated_at":"2021-09-30T09:24:57.770Z","grant_id":null,"is_lead":false,"saved_state":{"id":2497,"name":"SBI","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9034,"fairsharing_record_id":1899,"organisation_id":1852,"relation":"funds","created_at":"2022-03-28T09:40:48.978Z","updated_at":"2022-03-28T09:40:48.978Z","grant_id":404,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2000-1358-C02-02","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1900","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:30.272Z","metadata":{"doi":"10.25504/FAIRsharing.tp9z4q","name":"ArchDB","status":"ready","contacts":[{"contact_name":"Narcis Fernandez-Fuentes","contact_email":"narcis.fernandez@gmail.com","contact_orcid":"0000-0002-6421-1080"}],"homepage":"http://sbi.imim.es/archdb","identifier":1900,"description":"ArchDB is a compilation of structural classifications of loops extracted from known protein structures. The structural classification is based on the geometry and conformation of the loop. The geometry is defined by four internal variables and the type of regular flanking secondary structures, resulting in 10 different loop types. Loops in ArchDB have been classified using an improved version (Espadaler et al.) of the original ArchType program published in 1997 by Oliva et al.","abbreviation":"ArchDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://sbi.imim.es/archdb/faq/Q1","type":"Frequently Asked Questions (FAQs)"},{"url":"http://sbi.imim.es/cgi-bin/archdb//loops.pl?help=1","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://sbi.imim.es/archdb/search/","name":"search"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000365","bsg-d000365"],"name":"FAIRsharing record for: ArchDB","abbreviation":"ArchDB","url":"https://fairsharing.org/10.25504/FAIRsharing.tp9z4q","doi":"10.25504/FAIRsharing.tp9z4q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ArchDB is a compilation of structural classifications of loops extracted from known protein structures. The structural classification is based on the geometry and conformation of the loop. The geometry is defined by four internal variables and the type of regular flanking secondary structures, resulting in 10 different loop types. Loops in ArchDB have been classified using an improved version (Espadaler et al.) of the original ArchType program published in 1997 by Oliva et al.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Secondary protein structure","Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":404,"pubmed_id":14681390,"title":"ArchDB: automated protein loop classification as a tool for structural genomics.","year":2003,"url":"http://doi.org/10.1093/nar/gkh002","authors":"Espadaler J., Fernandez-Fuentes N., Hermoso A., Querol E., Aviles FX., Sternberg MJ., Oliva B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh002","created_at":"2021-09-30T08:23:03.899Z","updated_at":"2021-09-30T08:23:03.899Z"},{"id":1163,"pubmed_id":24265221,"title":"ArchDB 2014: structural classification of loops in proteins.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1189","authors":"Bonet J,Planas-Iglesias J,Garcia-Garcia J,Marin-Lopez MA,Fernandez-Fuentes N,Oliva B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1189","created_at":"2021-09-30T08:24:29.313Z","updated_at":"2021-09-30T11:29:01.502Z"}],"licence_links":[],"grants":[{"id":1150,"fairsharing_record_id":1900,"organisation_id":15,"relation":"funds","created_at":"2021-09-30T09:24:57.820Z","updated_at":"2021-09-30T09:24:57.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":15,"name":"Aberystwyth University, Wales, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1153,"fairsharing_record_id":1900,"organisation_id":2497,"relation":"maintains","created_at":"2021-09-30T09:24:57.917Z","updated_at":"2021-09-30T09:24:57.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":2497,"name":"SBI","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1151,"fairsharing_record_id":1900,"organisation_id":253,"relation":"maintains","created_at":"2021-09-30T09:24:57.852Z","updated_at":"2021-09-30T09:24:57.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":253,"name":"bioinsilico.org","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1152,"fairsharing_record_id":1900,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.881Z","updated_at":"2021-09-30T09:24:57.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":9211,"fairsharing_record_id":1900,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.566Z","updated_at":"2022-04-11T12:07:22.587Z","grant_id":537,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"EUI2009-04018","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9212,"fairsharing_record_id":1900,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.673Z","updated_at":"2022-04-11T12:07:22.689Z","grant_id":914,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"FEDER BIO2011-22568","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9215,"fairsharing_record_id":1900,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.890Z","updated_at":"2022-04-11T12:07:22.906Z","grant_id":50,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"FEDER BIO2008-0205","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1901","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:15:09.118Z","metadata":{"doi":"10.25504/FAIRsharing.q2ntvx","name":"KinMutBase","status":"deprecated","contacts":[{"contact_name":"Jouni Valiaho","contact_email":"Jouni.Valiaho@uta.fi"}],"homepage":"http://structure.bmc.lu.se/idbase/KinMutBase/","identifier":1901,"description":"KinMutBase is a comprehensive database of disease-causing mutations in protein kinase domains. This resources provides plenty of information, namely mutation statistics and display, clickable sequences with mutations and changes to restriction enzyme patterns.","abbreviation":"KinMutBase","data_curation":{"type":"not found"},"year_creation":1998,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource has not been updated since 2015 and, while a flat file is available for download, this record has been deprecated due to lack of activity. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000366","bsg-d000366"],"name":"FAIRsharing record for: KinMutBase","abbreviation":"KinMutBase","url":"https://fairsharing.org/10.25504/FAIRsharing.q2ntvx","doi":"10.25504/FAIRsharing.q2ntvx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KinMutBase is a comprehensive database of disease-causing mutations in protein kinase domains. This resources provides plenty of information, namely mutation statistics and display, clickable sequences with mutations and changes to restriction enzyme patterns.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12647}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Protein structure","Mutation","Genetic polymorphism","Enzyme","Disease","Protein","Amino acid sequence","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":166,"pubmed_id":15832311,"title":"KinMutBase: a registry of disease-causing mutations in protein kinase domains.","year":2005,"url":"http://doi.org/10.1002/humu.20166","authors":"Ortutay C,Valiaho J,Stenberg K,Vihinen M","journal":"Hum Mutat","doi":"10.1002/humu.20166","created_at":"2021-09-30T08:22:38.263Z","updated_at":"2021-09-30T08:22:38.263Z"},{"id":218,"pubmed_id":10592276,"title":"KinMutBase, a database of human disease-causing protein kinase mutations.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.369","authors":"Stenberg KA,Riikonen PT,Vihinen M","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.369","created_at":"2021-09-30T08:22:43.637Z","updated_at":"2021-09-30T11:28:44.033Z"}],"licence_links":[],"grants":[{"id":1155,"fairsharing_record_id":1901,"organisation_id":17,"relation":"funds","created_at":"2021-09-30T09:24:57.981Z","updated_at":"2021-09-30T09:24:57.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":17,"name":"Academy of Finland, Helsinki, Finland","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9033,"fairsharing_record_id":1901,"organisation_id":2703,"relation":"maintains","created_at":"2022-03-28T09:34:28.090Z","updated_at":"2022-03-28T09:34:28.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":2703,"name":"Tampere University, Finland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1902","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:14.535Z","metadata":{"doi":"10.25504/FAIRsharing.wyz5he","name":"Conformation Angles Database","status":"deprecated","contacts":[{"contact_name":"K Sekar","contact_email":"sekar@physics.iisc.ernet.in"}],"homepage":"http://cluster.physics.iisc.ernet.in/cadb/","citations":[],"identifier":1902,"description":"Conformation Angles DataBase [ CADB-3.0 ] is a comprehensive, authoritative and timely knowledge base developed to facilitate retrieval of information related to the conformational angles (main-chain and side-chain) of the amino acid residues present in the non-redundant (both 25% and 90%) data set.","abbreviation":"CADB","data_curation":{"type":"none"},"year_creation":2002,"data_versioning":"not found","deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000367","bsg-d000367"],"name":"FAIRsharing record for: Conformation Angles Database","abbreviation":"CADB","url":"https://fairsharing.org/10.25504/FAIRsharing.wyz5he","doi":"10.25504/FAIRsharing.wyz5he","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Conformation Angles DataBase [ CADB-3.0 ] is a comprehensive, authoritative and timely knowledge base developed to facilitate retrieval of information related to the conformational angles (main-chain and side-chain) of the amino acid residues present in the non-redundant (both 25% and 90%) data set.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":401,"pubmed_id":12520049,"title":"CADB: Conformation Angles DataBase of proteins.","year":2003,"url":"http://doi.org/10.1093/nar/gkg084","authors":"Sheik SS., Ananthalakshmi P., Bhargavi GR., Sekar K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg084","created_at":"2021-09-30T08:23:03.592Z","updated_at":"2021-09-30T08:23:03.592Z"},{"id":1423,"pubmed_id":15858276,"title":"CADB-2.0: Conformation Angles Database.","year":2005,"url":"http://doi.org/10.1107/S0907444905005871","authors":"Samaya Mohan K,Sheik SS,Ramesh J,Balamurugan B,Jeyasimhan M,Mayilarasi C,Sekar K","journal":"Acta Crystallogr D Biol Crystallogr","doi":"10.1107/S0907444905005871","created_at":"2021-09-30T08:24:59.067Z","updated_at":"2021-09-30T08:24:59.067Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":394,"relation":"undefined"}],"grants":[{"id":1157,"fairsharing_record_id":1902,"organisation_id":1333,"relation":"maintains","created_at":"2021-09-30T09:24:58.044Z","updated_at":"2021-09-30T09:24:58.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":1333,"name":"Indian Institute of Science, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1903","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:13.441Z","metadata":{"doi":"10.25504/FAIRsharing.1nwy41","name":"Transmembrane Helices in Genome Sequences","status":"deprecated","contacts":[{"contact_name":"Professor K Sekar","contact_email":"sekar@physics.iisc.ernet.in"}],"homepage":"http://pranag.physics.iisc.ernet.in/thgs/","identifier":1903,"description":"A web based database of Transmembrane Helices in Genome Sequences.","abbreviation":"THGS","data_curation":{"type":"not found"},"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000368","bsg-d000368"],"name":"FAIRsharing record for: Transmembrane Helices in Genome Sequences","abbreviation":"THGS","url":"https://fairsharing.org/10.25504/FAIRsharing.1nwy41","doi":"10.25504/FAIRsharing.1nwy41","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A web based database of Transmembrane Helices in Genome Sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1430,"pubmed_id":14681375,"title":"THGS: a web-based database of Transmembrane Helices in Genome Sequences.","year":2003,"url":"http://doi.org/10.1093/nar/gkh130","authors":"Fernando SA,Selvarani P,Das S,Kumar ChK,Mondal S,Ramakumar S,Sekar K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh130","created_at":"2021-09-30T08:24:59.917Z","updated_at":"2021-09-30T11:29:08.334Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":395,"relation":"undefined"}],"grants":[{"id":1158,"fairsharing_record_id":1903,"organisation_id":1333,"relation":"maintains","created_at":"2021-09-30T09:24:58.083Z","updated_at":"2021-09-30T09:24:58.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":1333,"name":"Indian Institute of Science, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1891","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:12.862Z","metadata":{"doi":"10.25504/FAIRsharing.cwx04e","name":"SABIO-RK Biochemical Reaction Kinetics Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"sabiork@h-its.org"}],"homepage":"http://sabiork.h-its.org/","citations":[],"identifier":1891,"description":"SABIO-RK is a database for biochemical reactions, their kinetic equations with their parameters, and the experimental conditions under which these parameters were measured.","abbreviation":"SABIO-RK","data_curation":{"url":"http://sabiork.h-its.org/layouts/content/about.gsp","type":"manual"},"support_links":[{"url":"http://sabiork.h-its.org/contactFormSabio","name":"Contact Form","type":"Contact form"},{"url":"http://sabiork.h-its.org/layouts/content/documentation.gsp","name":"Help Pages","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011052","name":"re3data:r3d100011052","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002122","name":"SciCrunch:RRID:SCR_002122","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://sabiork.h-its.org/layouts/content/documentation.gsp","type":"open","notes":"account required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000356","bsg-d000356"],"name":"FAIRsharing record for: SABIO-RK Biochemical Reaction Kinetics Database","abbreviation":"SABIO-RK","url":"https://fairsharing.org/10.25504/FAIRsharing.cwx04e","doi":"10.25504/FAIRsharing.cwx04e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SABIO-RK is a database for biochemical reactions, their kinetic equations with their parameters, and the experimental conditions under which these parameters were measured.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11772}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biochemistry","Life Science"],"domains":["Reaction data","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":384,"pubmed_id":22102587,"title":"SABIO-RK--database for biochemical reaction kinetics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1046","authors":"Wittig U., Kania R., Golebiewski M., Rey M., Shi L., Jong L., Algaa E., Weidemann A., Sauer-Danzwith H., Mir S., Krebs O., Bittkowski M., Wetsch E., Rojas I., Müller W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1046","created_at":"2021-09-30T08:23:01.591Z","updated_at":"2021-09-30T08:23:01.591Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":363,"relation":"applies_to_content"},{"licence_name":"Sabio-RK Non-Commercial Purpose License","licence_id":722,"licence_url":"http://sabiork.h-its.org/layouts/content/termscondition.gsp","link_id":379,"relation":"applies_to_content"}],"grants":[{"id":1108,"fairsharing_record_id":1891,"organisation_id":992,"relation":"maintains","created_at":"2021-09-30T09:24:56.526Z","updated_at":"2021-09-30T09:24:56.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":992,"name":"FAIRDOM","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1110,"fairsharing_record_id":1891,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:24:56.609Z","updated_at":"2021-09-30T09:24:56.609Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1107,"fairsharing_record_id":1891,"organisation_id":1231,"relation":"maintains","created_at":"2021-09-30T09:24:56.489Z","updated_at":"2021-09-30T09:24:56.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":1231,"name":"Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1109,"fairsharing_record_id":1891,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:56.568Z","updated_at":"2021-09-30T09:24:56.568Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1111,"fairsharing_record_id":1891,"organisation_id":1641,"relation":"funds","created_at":"2021-09-30T09:24:56.647Z","updated_at":"2021-09-30T09:24:56.647Z","grant_id":null,"is_lead":false,"saved_state":{"id":1641,"name":"Klaus Tschira Foundation, Heidelberg, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9356,"fairsharing_record_id":1891,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.747Z","updated_at":"2022-04-11T12:07:32.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZnM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8159ba57c6c2396faafc24f4178e8fa705934c86/sa.png?disposition=inline","exhaustive_licences":false}},{"id":"1893","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:14.552Z","metadata":{"doi":"10.25504/FAIRsharing.91yrz6","name":"Extracellular Matrix Interaction Database","status":"ready","contacts":[{"contact_name":"Sylvie Ricard-Blum","contact_email":"sylvie.ricard-blum@univ-lyon1.fr"}],"homepage":"http://matrixdb.univ-lyon1.fr","citations":[{"doi":"10.1093/nar/gky1035","pubmed_id":30371822,"publication_id":1662}],"identifier":1893,"description":"MatrixDB stores experimental data established by full-length proteins, matricryptins, glycosaminoglycans, lipids and cations. MatrixDB reports interactions with individual polypeptide chains or with multimers (e.g. collagens, laminins, thrombospondins) when appropriate. Multimers are treated as permanent complexes, referencing EBI identifiers when possible. Human interactions were inferred from non-human homologous interactions when available.","abbreviation":"MatrixDB","data_curation":{"url":"http://www.ebi.ac.uk/Tools/webservices/psicquic/view/help.xhtml;jsessionid=14DEC322F11677E267213783BC2A23D1","type":"automated"},"support_links":[{"url":"http://matrixdb.univ-lyon1.fr/data/Tutorial_MatrixDB_v3.pdf","name":"Tutorial","type":"Help documentation"},{"url":"https://www.youtube.com/watch?list=PLw61Ua8TujDRLFSZMZChqmqX7yFBYLaz0\u0026v=BCHp12lefK4","name":"Help Video","type":"Video"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010672","name":"re3data:r3d100010672","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001727","name":"SciCrunch:RRID:SCR_001727","portal":"SciCrunch"}],"data_access_condition":{"url":"http://matrixdb.univ-lyon1.fr/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/submission/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000358","bsg-d000358"],"name":"FAIRsharing record for: Extracellular Matrix Interaction Database","abbreviation":"MatrixDB","url":"https://fairsharing.org/10.25504/FAIRsharing.91yrz6","doi":"10.25504/FAIRsharing.91yrz6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MatrixDB stores experimental data established by full-length proteins, matricryptins, glycosaminoglycans, lipids and cations. MatrixDB reports interactions with individual polypeptide chains or with multimers (e.g. collagens, laminins, thrombospondins) when appropriate. Multimers are treated as permanent complexes, referencing EBI identifiers when possible. Human interactions were inferred from non-human homologous interactions when available.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11213}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Protein interaction","Carbohydrate","Lipid","Molecular interaction","Small molecule","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Extracellular matrix proteins"],"countries":["France"],"publications":[{"id":385,"pubmed_id":19147664,"title":"MatrixDB, a database focused on extracellular protein-protein and protein-carbohydrate interactions.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp025","authors":"Chautard E., Ballut L., Thierry-Mieg N., Ricard-Blum S.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp025","created_at":"2021-09-30T08:23:01.750Z","updated_at":"2021-09-30T08:23:01.750Z"},{"id":1267,"pubmed_id":25378329,"title":"MatrixDB, the extracellular matrix interaction database: updated content, a new navigator and expanded functionalities.","year":2014,"url":"http://doi.org/10.1093/nar/gku1091","authors":"Launay G,Salza R,Multedo D,Thierry-Mieg N,Ricard-Blum S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1091","created_at":"2021-09-30T08:24:41.381Z","updated_at":"2021-09-30T11:29:04.635Z"},{"id":1661,"pubmed_id":20852260,"title":"MatrixDB, the extracellular matrix interaction database.","year":2010,"url":"http://doi.org/10.1093/nar/gkq830","authors":"Chautard E,Fatoux-Ardore M,Ballut L,Thierry-Mieg N,Ricard-Blum S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq830","created_at":"2021-09-30T08:25:26.059Z","updated_at":"2021-09-30T11:29:18.111Z"},{"id":1662,"pubmed_id":30371822,"title":"MatrixDB: integration of new data with a focus on glycosaminoglycan interactions.","year":2018,"url":"http://doi.org/10.1093/nar/gky1035","authors":"Clerc O,Deniaud M,Vallet SD,Naba A,Rivet A,Perez S,Thierry-Mieg N,Ricard-Blum S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1035","created_at":"2021-09-30T08:25:26.158Z","updated_at":"2021-09-30T11:29:18.211Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2374,"relation":"undefined"}],"grants":[{"id":1118,"fairsharing_record_id":1893,"organisation_id":1368,"relation":"maintains","created_at":"2021-09-30T09:24:56.836Z","updated_at":"2021-09-30T09:24:56.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":1368,"name":"Institut de Chimie et Biochimie Moleculaires et Supramoleculaires (ICBMS), Lyon, France","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1120,"fairsharing_record_id":1893,"organisation_id":1026,"relation":"funds","created_at":"2021-09-30T09:24:56.886Z","updated_at":"2021-09-30T09:29:43.071Z","grant_id":373,"is_lead":false,"saved_state":{"id":1026,"name":"Fondation pour la Recherche Medicale","grant":"DBI20141231336","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1119,"fairsharing_record_id":1893,"organisation_id":1441,"relation":"funds","created_at":"2021-09-30T09:24:56.862Z","updated_at":"2021-09-30T09:24:56.862Z","grant_id":null,"is_lead":false,"saved_state":{"id":1441,"name":"Institut Francais de Bioinformatique (IFB, French Institute of Bioinformatics), France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1887","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:24.791Z","metadata":{"doi":"10.25504/FAIRsharing.y1zyaq","name":"Small Molecule Pathway Database","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca"}],"homepage":"http://www.smpdb.ca/","identifier":1887,"description":"The Small Molecule Pathway Database (SMPDB) contains small molecule pathways found in humans, which are presented visually. All SMPDB pathways include information on the relevant organs, subcellular compartments, protein cofactors, protein locations, metabolite locations, chemical structures and protein quaternary structures. Accompanying data includes detailed descriptions and references, providing an overview of the pathway, condition or processes depicted in each diagram.","abbreviation":"SMPDB","data_curation":{"type":"none"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=small%20molecule%20pathway%20database","type":"Contact form"},{"url":"http://smpdb.ca/legend","type":"Help documentation"},{"url":"https://twitter.com/WishartLab","name":"@WishartLab","type":"Twitter"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://smpdb.ca/search/sequence","name":"Blast"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012753","name":"re3data:r3d100012753","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004844","name":"SciCrunch:RRID:SCR_004844","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000352","bsg-d000352"],"name":"FAIRsharing record for: Small Molecule Pathway Database","abbreviation":"SMPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.y1zyaq","doi":"10.25504/FAIRsharing.y1zyaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Small Molecule Pathway Database (SMPDB) contains small molecule pathways found in humans, which are presented visually. All SMPDB pathways include information on the relevant organs, subcellular compartments, protein cofactors, protein locations, metabolite locations, chemical structures and protein quaternary structures. Accompanying data includes detailed descriptions and references, providing an overview of the pathway, condition or processes depicted in each diagram.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11771},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12644}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Protein structure","Chemical structure","Chemical entity","Metabolite","Small molecule","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":374,"pubmed_id":19948758,"title":"SMPDB: The Small Molecule Pathway Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1002","authors":"Frolkis A., Knox C., Lim E., Jewison T., Law V., Hau DD., Liu P., Gautam B., Ly S., Guo AC., Xia J., Liang Y., Shrivastava S., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"doi:10.1093/nar/gkp1002","created_at":"2021-09-30T08:23:00.202Z","updated_at":"2021-09-30T08:23:00.202Z"},{"id":2208,"pubmed_id":24203708,"title":"SMPDB 2.0: big improvements to the Small Molecule Pathway Database.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1067","authors":"Jewison T,Su Y,Disfany FM,Liang Y,Knox C,Maciejewski A,Poelzer J,Huynh J,Zhou Y,Arndt D,Djoumbou Y,Liu Y,Deng L,Guo AC,Han B,Pon A,Wilson M,Rafatnia S,Liu P,Wishart DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1067","created_at":"2021-09-30T08:26:28.854Z","updated_at":"2021-09-30T11:29:30.986Z"}],"licence_links":[],"grants":[{"id":1096,"fairsharing_record_id":1887,"organisation_id":1107,"relation":"maintains","created_at":"2021-09-30T09:24:56.096Z","updated_at":"2021-09-30T09:24:56.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":1107,"name":"Genome Alberta, Alberta, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1095,"fairsharing_record_id":1887,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:56.064Z","updated_at":"2021-09-30T09:24:56.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1888","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:44:19.053Z","metadata":{"doi":"10.25504/FAIRsharing.k5k0yh","name":"GlycomeDB","status":"deprecated","contacts":[{"contact_name":"René Ranzinger","contact_email":"rene.ranzinger@glycome-db.org"}],"homepage":"http://www.glycome-db.org/showMenu.action?major=database","identifier":1888,"description":"GlycomeDB is the result of a systematic data integration effort, and provides an overview of all carbohydrate structures available in public databases, as well as cross-links.","abbreviation":"GlycomeDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.glycome-db.org/Contact.action","type":"Contact form"},{"url":"http://www.glycome-db.org/help/GlycomeDBManual.pdf","type":"Help documentation"},{"url":"http://www.glycome-db.org/showMenu.action?major=documentation","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://www.glycome-db.org/showMenu.action?major=database","name":"search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011527","name":"re3data:r3d100011527","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005717","name":"SciCrunch:RRID:SCR_005717","portal":"SciCrunch"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and the data has been incorporated into GlyTouCan","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000353","bsg-d000353"],"name":"FAIRsharing record for: GlycomeDB","abbreviation":"GlycomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.k5k0yh","doi":"10.25504/FAIRsharing.k5k0yh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycomeDB is the result of a systematic data integration effort, and provides an overview of all carbohydrate structures available in public databases, as well as cross-links.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Carbohydrate","Molecular entity","Small molecule","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":380,"pubmed_id":19759275,"title":"Glycome-DB.org: a portal for querying across the digital world of carbohydrate sequences.","year":2009,"url":"http://doi.org/10.1093/glycob/cwp137","authors":"Ranzinger R., Frank M., von der Lieth CW., Herget S.,","journal":"Glycobiology","doi":"10.1093/glycob/cwp137","created_at":"2021-09-30T08:23:01.207Z","updated_at":"2021-09-30T08:23:01.207Z"},{"id":1067,"pubmed_id":21045056,"title":"GlycomeDB--a unified database for carbohydrate structures.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1014","authors":"Ranzinger R,Herget S,von der Lieth CW,Frank M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1014","created_at":"2021-09-30T08:24:18.172Z","updated_at":"2021-09-30T11:28:57.792Z"},{"id":1607,"pubmed_id":18803830,"title":"GlycomeDB - integration of open-access carbohydrate structure databases.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-384","authors":"Ranzinger R,Herget S,Wetter T,von der Lieth CW","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-384","created_at":"2021-09-30T08:25:20.154Z","updated_at":"2021-09-30T08:25:20.154Z"}],"licence_links":[],"grants":[{"id":1099,"fairsharing_record_id":1888,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:24:56.214Z","updated_at":"2021-09-30T09:24:56.214Z","grant_id":null,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1097,"fairsharing_record_id":1888,"organisation_id":756,"relation":"maintains","created_at":"2021-09-30T09:24:56.133Z","updated_at":"2021-09-30T09:24:56.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":756,"name":"Deutsches Krebsforschungszentrum","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1098,"fairsharing_record_id":1888,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:56.176Z","updated_at":"2021-09-30T09:24:56.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1889","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:57:10.404Z","metadata":{"doi":"10.25504/FAIRsharing.aftff2","name":"The Gene Index Project","status":"deprecated","contacts":[{"contact_name":"John Quackenbush","contact_email":"johnq@jimmy.harvard.edu","contact_orcid":"0000-0002-2702-5879"}],"homepage":"http://compbio.dfci.harvard.edu/tgi/","identifier":1889,"description":"The goal of The Gene Index Project is to use the available EST and gene sequences, along with the reference genomes wherever available, to provide an inventory of likely genes and their variants and to annotate these with information regarding the functional roles played by these genes and their products.","abbreviation":"TIGR_TGI","data_curation":{"type":"not found"},"support_links":[{"url":"http://compbio.dfci.harvard.edu/cgi-bin/tgi/contact_us_zn.pl?refer_text=DFCI%20-%20Gene%20Indices%20-%20EGO","type":"Contact form"},{"url":"http://compbio.dfci.harvard.edu/tgi/gifaq.html","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","associated_tools":[{"url":"http://compbio.dfci.harvard.edu/tgi/ncbi/blast/blast.html","name":"BLAST"}],"deprecation_date":"2016-12-23","deprecation_reason":"As of July 2014 the resource is no longer being maintained as funding ended in 2010.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000354","bsg-d000354"],"name":"FAIRsharing record for: The Gene Index Project","abbreviation":"TIGR_TGI","url":"https://fairsharing.org/10.25504/FAIRsharing.aftff2","doi":"10.25504/FAIRsharing.aftff2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of The Gene Index Project is to use the available EST and gene sequences, along with the reference genomes wherever available, to provide an inventory of likely genes and their variants and to annotate these with information regarding the functional roles played by these genes and their products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1533,"pubmed_id":15608288,"title":"The TIGR Gene Indices: clustering and assembling EST and known genes and integration with eukaryotic genomes.","year":2004,"url":"http://doi.org/10.1093/nar/gki064","authors":"Lee Y,Tsai J,Sunkara S,Karamycheva S,Pertea G,Sultana R,Antonescu V,Chan A,Cheung F,Quackenbush J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki064","created_at":"2021-09-30T08:25:11.650Z","updated_at":"2021-09-30T11:29:12.918Z"},{"id":1540,"pubmed_id":10592205,"title":"The TIGR gene indices: reconstruction and representation of expressed gene sequences.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.141","authors":"Quackenbush J,Liang F,Holt I,Pertea G,Upton J","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.141","created_at":"2021-09-30T08:25:12.491Z","updated_at":"2021-09-30T11:29:13.010Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1181,"relation":"undefined"}],"grants":[{"id":1102,"fairsharing_record_id":1889,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:24:56.314Z","updated_at":"2021-09-30T09:24:56.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1100,"fairsharing_record_id":1889,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:24:56.246Z","updated_at":"2021-09-30T09:24:56.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1101,"fairsharing_record_id":1889,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:56.283Z","updated_at":"2021-09-30T09:24:56.283Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1103,"fairsharing_record_id":1889,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:24:56.350Z","updated_at":"2021-09-30T09:24:56.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1104,"fairsharing_record_id":1889,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:56.390Z","updated_at":"2021-09-30T09:24:56.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1890","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:46.306Z","metadata":{"doi":"10.25504/FAIRsharing.tyyn81","name":"Health Canada Drug Product Database","status":"ready","contacts":[{"contact_email":"Info@hc-sc.gc.ca"}],"homepage":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/drug-product-database.html","citations":[],"identifier":1890,"description":"The Health Canada Drug Product Database contains product specific information on drugs approved for use in Canada. The database is managed by Health Canada and includes human pharmaceutical and biological drugs, veterinary drugs and disinfectant products. It contains approximately 15,000 products which companies have notified Health Canada as being marketed.","abbreviation":"HC DPD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/applications-submissions/guidance-documents/product-monograph/frequently-asked-questions-product-monographs-posted-health-canada-website.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/drug-product-database/search-tips.html","type":"Help documentation"},{"url":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/drug-product-database/terminology.html","type":"Help documentation"},{"url":"https://twitter.com/HealthCanada","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012754","name":"re3data:r3d100012754","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000355","bsg-d000355"],"name":"FAIRsharing record for: Health Canada Drug Product Database","abbreviation":"HC DPD","url":"https://fairsharing.org/10.25504/FAIRsharing.tyyn81","doi":"10.25504/FAIRsharing.tyyn81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Health Canada Drug Product Database contains product specific information on drugs approved for use in Canada. The database is managed by Health Canada and includes human pharmaceutical and biological drugs, veterinary drugs and disinfectant products. It contains approximately 15,000 products which companies have notified Health Canada as being marketed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[],"grants":[{"id":1105,"fairsharing_record_id":1890,"organisation_id":1221,"relation":"maintains","created_at":"2021-09-30T09:24:56.422Z","updated_at":"2021-09-30T09:24:56.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":1221,"name":"Health Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1106,"fairsharing_record_id":1890,"organisation_id":1221,"relation":"funds","created_at":"2021-09-30T09:24:56.454Z","updated_at":"2021-09-30T09:24:56.454Z","grant_id":null,"is_lead":false,"saved_state":{"id":1221,"name":"Health Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1876","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:29.999Z","metadata":{"doi":"10.25504/FAIRsharing.zzaykv","name":"Side Effect Resource","status":"ready","contacts":[{"contact_name":"Peer Bork","contact_email":"bork@embl.de","contact_orcid":"0000-0002-2627-833X"}],"homepage":"http://sideeffects.embl.de","identifier":1876,"description":"SIDER contains information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts. The available information include side effect frequency, drug and side effect classifications as well as links to further information, for example drug_target relations.","abbreviation":"SIDER","data_curation":{"url":"http://sideeffects.embl.de/","type":"manual","notes":"The information is extracted from public documents and package inserts."},"year_creation":2010,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012791","name":"re3data:r3d100012791","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004321","name":"SciCrunch:RRID:SCR_004321","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000341","bsg-d000341"],"name":"FAIRsharing record for: Side Effect Resource","abbreviation":"SIDER","url":"https://fairsharing.org/10.25504/FAIRsharing.zzaykv","doi":"10.25504/FAIRsharing.zzaykv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SIDER contains information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts. The available information include side effect frequency, drug and side effect classifications as well as links to further information, for example drug_target relations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Health Science","Biomedical Science"],"domains":["Drug","Adverse Reaction","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug Target"],"countries":["Germany"],"publications":[{"id":1448,"pubmed_id":20087340,"title":"A side effect resource to capture phenotypic effects of drugs.","year":2010,"url":"http://doi.org/10.1038/msb.2009.98","authors":"Kuhn M., Campillos M., Letunic I., Jensen LJ., Bork P.,","journal":"Mol. Syst. Biol.","doi":"10.1093/nar/gkv1075","created_at":"2021-09-30T08:25:01.860Z","updated_at":"2021-09-30T08:25:01.860Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1570,"relation":"undefined"}],"grants":[{"id":1066,"fairsharing_record_id":1876,"organisation_id":2197,"relation":"funds","created_at":"2021-09-30T09:24:55.218Z","updated_at":"2021-09-30T09:29:54.464Z","grant_id":462,"is_lead":false,"saved_state":{"id":2197,"name":"Novo Nordisk Foundation, Denmark","grant":"NNF14CC0001","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":1067,"fairsharing_record_id":1876,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:55.254Z","updated_at":"2021-09-30T09:24:55.254Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1877","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:12.282Z","metadata":{"doi":"10.25504/FAIRsharing.q7bkqr","name":"STING","status":"deprecated","contacts":[{"contact_name":"Goran Neshich","contact_email":"neshich@cnptia.embrapa.br"}],"homepage":"http://sms.cbi.cnptia.embrapa.br/SMS/index_s.html","citations":[],"identifier":1877,"description":"The Blue Star STING database stores information on the interactions between proteins and other bio macromolecules. Structure descriptors used in the analysis of these interactions are stored in STING DB to aid research primarily into the problems challenging Brazilian agriculture, livestock and medicine.","abbreviation":"STING","data_curation":{"type":"not found"},"support_links":[{"url":"http://sms.cbi.cnptia.embrapa.br/SMS/STINGm/help/quick_modules.html#report","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource has not been updated recently and a valid contact cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000342","bsg-d000342"],"name":"FAIRsharing record for: STING","abbreviation":"STING","url":"https://fairsharing.org/10.25504/FAIRsharing.q7bkqr","doi":"10.25504/FAIRsharing.q7bkqr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Blue Star STING database stores information on the interactions between proteins and other bio macromolecules. Structure descriptors used in the analysis of these interactions are stored in STING DB to aid research primarily into the problems challenging Brazilian agriculture, livestock and medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Brazil"],"publications":[{"id":1616,"pubmed_id":15608194,"title":"STING Report: convenient web-based application for graphic and tabular presentations of protein sequence, structure and function descriptors from the STING database.","year":2004,"url":"http://doi.org/10.1093/nar/gki111","authors":"Neshich G., Mancini AL., Yamagishi ME., Kuser PR., Fileto R., Pinto IP., Palandrani JF., Krauchenco JN., Baudet C., Montagner AJ., Higa RH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki111","created_at":"2021-09-30T08:25:21.086Z","updated_at":"2021-09-30T08:25:21.086Z"}],"licence_links":[],"grants":[{"id":1068,"fairsharing_record_id":1877,"organisation_id":582,"relation":"maintains","created_at":"2021-09-30T09:24:55.287Z","updated_at":"2021-09-30T09:24:55.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":582,"name":"Computational Biology Research Group , Embrapa/Informatica Agropecuaria, Sao Paulo, Brazil","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1878","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:17.732Z","metadata":{"doi":"10.25504/FAIRsharing.t3nprm","name":"CryptoDB","status":"ready","contacts":[{"contact_name":"Jessica Kissinger","contact_email":"jkissing@uga.edu","contact_orcid":"0000-0003-4446-6200"}],"homepage":"https://cryptodb.org/cryptodb/app","citations":[],"identifier":1878,"description":"CryptoDB serves as the functional genomics database for Cryptosporidium and related species. CryptoDB is a free, online resource for accessing and exploring genome sequence and annotation, functional genomics data, isolate sequences, and orthology profiles across organisms. It also includes supplemental bioinformatics analyses and a web interface for data-mining.","abbreviation":"CryptoDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://cryptodb.org/cryptodb/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://cryptodb.org/cryptodb/app/search/organism/GenomeDataTypes/result","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012265","name":"re3data:r3d100012265","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013455","name":"SciCrunch:RRID:SCR_013455","portal":"SciCrunch"}],"data_access_condition":{"url":"https://cryptodb.org/cryptodb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://cryptodb.org/cryptodb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://cryptodb.org/cryptodb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000343","bsg-d000343"],"name":"FAIRsharing record for: CryptoDB","abbreviation":"CryptoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.t3nprm","doi":"10.25504/FAIRsharing.t3nprm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CryptoDB serves as the functional genomics database for Cryptosporidium and related species. CryptoDB is a free, online resource for accessing and exploring genome sequence and annotation, functional genomics data, isolate sequences, and orthology profiles across organisms. It also includes supplemental bioinformatics analyses and a web interface for data-mining.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genomics","Parasitology"],"domains":["Genome annotation","Gene functional annotation","Parasite","Genome"],"taxonomies":["Cryptosporidium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":379,"pubmed_id":16381902,"title":"CryptoDB: a Cryptosporidium bioinformatics resource update.","year":2005,"url":"http://doi.org/10.1093/nar/gkj078","authors":"Heiges M., Wang H., Robinson E., Aurrecoechea C., Gao X., Kaluskar N., Rhodes P., Wang S., He CZ., Su Y., Miller J., Kraemer E., Kissinger JC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj078","created_at":"2021-09-30T08:23:00.710Z","updated_at":"2021-09-30T08:23:00.710Z"},{"id":1268,"pubmed_id":31452162,"title":"Accessing Cryptosporidium Omic and Isolate Data via CryptoDB.org.","year":2019,"url":"http://doi.org/10.1007/978-1-4939-9748-0_10","authors":"Warrenfeltz S,Kissinger JC","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-9748-0_10","created_at":"2021-09-30T08:24:41.542Z","updated_at":"2021-09-30T08:24:41.542Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2386,"relation":"undefined"}],"grants":[{"id":1071,"fairsharing_record_id":1878,"organisation_id":439,"relation":"maintains","created_at":"2021-09-30T09:24:55.375Z","updated_at":"2021-09-30T09:24:55.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":439,"name":"Center for Tropical \u0026 Emerging Global Diseases, University of Georgia, Athens, GA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8356,"fairsharing_record_id":1878,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.693Z","updated_at":"2021-09-30T09:32:14.936Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1072,"fairsharing_record_id":1878,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.413Z","updated_at":"2021-09-30T09:29:56.395Z","grant_id":478,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN75N93019C00077","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1069,"fairsharing_record_id":1878,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.310Z","updated_at":"2021-09-30T09:31:27.989Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9982,"fairsharing_record_id":1878,"organisation_id":3549,"relation":"maintains","created_at":"2022-10-07T16:09:08.548Z","updated_at":"2022-10-07T16:09:08.548Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdEVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e5062bc73a21ec49ec674e77bef1146b4e4a5614/cryptoDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1882","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:22.346Z","metadata":{"doi":"10.25504/FAIRsharing.g4n8sw","name":"PlasmoDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"https://plasmodb.org","citations":[{"doi":"10.1093/nar/gkn814","pubmed_id":18957442,"publication_id":378}],"identifier":1882,"description":"PlasmoDB is a genome database for the genus Plasmodium, a set of single-celled eukaryotic pathogens that cause human and animal diseases, including malaria.","abbreviation":"PlasmoDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://plasmodb.org/plasmo/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://plasmodb.org/plasmo/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://plasmodb.org/plasmo/app/search/organism/GenomeDataTypes/result","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011569","name":"re3data:r3d100011569","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013331","name":"SciCrunch:RRID:SCR_013331","portal":"SciCrunch"}],"data_access_condition":{"url":"https://plasmodb.org/plasmo/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://plasmodb.org/plasmo/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://plasmodb.org/plasmo/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000347","bsg-d000347"],"name":"FAIRsharing record for: PlasmoDB","abbreviation":"PlasmoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.g4n8sw","doi":"10.25504/FAIRsharing.g4n8sw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PlasmoDB is a genome database for the genus Plasmodium, a set of single-celled eukaryotic pathogens that cause human and animal diseases, including malaria.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Infectious Disease Medicine"],"domains":["Malaria","Pathogen","Genome","Infectious disease"],"taxonomies":["Plasmodium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":378,"pubmed_id":18957442,"title":"PlasmoDB: a functional genomic database for malaria parasites.","year":2008,"url":"http://doi.org/10.1093/nar/gkn814","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn814","created_at":"2021-09-30T08:23:00.608Z","updated_at":"2021-09-30T08:23:00.608Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2382,"relation":"undefined"}],"grants":[{"id":1079,"fairsharing_record_id":1882,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.641Z","updated_at":"2021-09-30T09:31:28.014Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8358,"fairsharing_record_id":1882,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.780Z","updated_at":"2021-09-30T09:32:14.966Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9580,"fairsharing_record_id":1882,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:43.280Z","updated_at":"2022-06-08T09:24:43.280Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1081,"fairsharing_record_id":1882,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.694Z","updated_at":"2021-09-30T09:31:16.718Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdFVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6a21bcec4fd1d1c6bdde88ac7f21e0385a1141d7/plasmoDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1883","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:18.457Z","metadata":{"doi":"10.25504/FAIRsharing.a08mtc","name":"ToxoDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"https://toxodb.org","citations":[],"identifier":1883,"description":"ToxoDB is a free online resource that provides access to genomic and functional genomic data for Toxoplasma and related organisms. The resource contains over 30 fully sequenced and annotated genomes, with genomic sequence from multiple strains available for variant detection and copy number variation analysis. In addition to genomic sequence data, ToxoDB contains functional genomic datasets including microarray, RNAseq, proteomics, ChIP-seq, and phenotypic data. In addition, results from a number of whole-genome analyses are incorporated, including mapping to orthology clusters, which allows users to leverage phylogenetic relationships in their analyses.","abbreviation":"ToxoDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://toxodb.org/toxo/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://toxodb.org/toxo/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012266","name":"re3data:r3d100012266","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013453","name":"SciCrunch:RRID:SCR_013453","portal":"SciCrunch"}],"data_access_condition":{"url":"https://toxodb.org/toxo/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://toxodb.org/toxo/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://toxodb.org/toxo/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000348","bsg-d000348"],"name":"FAIRsharing record for: ToxoDB","abbreviation":"ToxoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.a08mtc","doi":"10.25504/FAIRsharing.a08mtc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ToxoDB is a free online resource that provides access to genomic and functional genomic data for Toxoplasma and related organisms. The resource contains over 30 fully sequenced and annotated genomes, with genomic sequence from multiple strains available for variant detection and copy number variation analysis. In addition to genomic sequence data, ToxoDB contains functional genomic datasets including microarray, RNAseq, proteomics, ChIP-seq, and phenotypic data. In addition, results from a number of whole-genome analyses are incorporated, including mapping to orthology clusters, which allows users to leverage phylogenetic relationships in their analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Proteomics","Phylogenetics","Comparative Genomics"],"domains":["Expression data","Proteome","Pathogen","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","DNA microarray","Phenotype","Disease","Genome"],"taxonomies":["Toxoplasma"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":383,"pubmed_id":18003657,"title":"ToxoDB: an integrated Toxoplasma gondii database resource.","year":2007,"url":"http://doi.org/10.1093/nar/gkm981","authors":"Gajria B., Bahl A., Brestelli J., Dommer J., Fischer S., Gao X., Heiges M., Iodice J., Kissinger JC., Mackey AJ., Pinney DF., Roos DS., Stoeckert CJ., Wang H., Brunk BP.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm981","created_at":"2021-09-30T08:23:01.499Z","updated_at":"2021-09-30T08:23:01.499Z"},{"id":1314,"pubmed_id":31758445,"title":"ToxoDB: Functional Genomics Resource for Toxoplasma and Related Organisms.","year":2019,"url":"http://doi.org/10.1007/978-1-4939-9857-9_2","authors":"Harb OS,Roos DS","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-9857-9_2","created_at":"2021-09-30T08:24:46.733Z","updated_at":"2021-09-30T08:24:46.733Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2383,"relation":"undefined"}],"grants":[{"id":1082,"fairsharing_record_id":1883,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.719Z","updated_at":"2021-09-30T09:31:28.027Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1084,"fairsharing_record_id":1883,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.778Z","updated_at":"2021-09-30T09:31:16.731Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9579,"fairsharing_record_id":1883,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:22.538Z","updated_at":"2022-06-08T09:24:22.538Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8359,"fairsharing_record_id":1883,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.818Z","updated_at":"2021-09-30T09:32:14.979Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e722d88723f0b94891ed8ea310b0270f24294ee8/toxoDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1884","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:22.975Z","metadata":{"doi":"10.25504/FAIRsharing.pv0ezt","name":"TrichDB","status":"ready","contacts":[{"contact_name":"Omar Harb","contact_email":"oharb@pcbi.upenn.edu","contact_orcid":"0000-0003-4446-6200"}],"homepage":"http://trichdb.org/trichdb/","citations":[],"identifier":1884,"description":"TrichDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"TrichDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://trichdb.org/trichdb/contact.do","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://twitter.com/eupathdb","type":"Twitter"}],"data_versioning":"no","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012461","name":"re3data:r3d100012461","portal":"re3data"}],"data_access_condition":{"url":"https://trichdb.org/trichdb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://trichdb.org/trichdb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://trichdb.org/trichdb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000349","bsg-d000349"],"name":"FAIRsharing record for: TrichDB","abbreviation":"TrichDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pv0ezt","doi":"10.25504/FAIRsharing.pv0ezt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TrichDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Eukaryota","Trichomonas"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1523,"pubmed_id":18824479,"title":"GiardiaDB and TrichDB: integrated genomic resources for the eukaryotic protist pathogens Giardia lamblia and Trichomonas vaginalis.","year":2008,"url":"http://doi.org/10.1093/nar/gkn631","authors":"Aurrecoechea C et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn631","created_at":"2021-09-30T08:25:10.519Z","updated_at":"2021-09-30T08:25:10.519Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2360,"relation":"undefined"}],"grants":[{"id":1086,"fairsharing_record_id":1884,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.828Z","updated_at":"2021-09-30T09:24:55.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1085,"fairsharing_record_id":1884,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:24:55.801Z","updated_at":"2021-09-30T09:24:55.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1087,"fairsharing_record_id":1884,"organisation_id":439,"relation":"maintains","created_at":"2021-09-30T09:24:55.852Z","updated_at":"2021-09-30T09:24:55.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":439,"name":"Center for Tropical \u0026 Emerging Global Diseases, University of Georgia, Athens, GA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1088,"fairsharing_record_id":1884,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:55.878Z","updated_at":"2021-09-30T09:31:16.743Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9578,"fairsharing_record_id":1884,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:04.760Z","updated_at":"2022-06-08T09:24:04.760Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdDBCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a55f8a84668c7738fd664dc14eb2fc782784c88d/trichDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1874","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:31:46.784Z","metadata":{"doi":"10.25504/FAIRsharing.rnx28e","name":"Expression Database in 4D","status":"deprecated","contacts":[{"contact_name":"Yannick Haudry","contact_email":"yannick.haudry@embl.de"}],"homepage":"http://4dx.embl.de/4DXpress","identifier":1874,"description":"This database provides a platform to query and compare gene expression data during the development of the major model animals (zebrafish, drosophila, medaka, mouse). The high resolution expression data was acquired through whole mount in situ hybridsation-, antibody- or transgenic experiments.","abbreviation":"4DXpress","data_curation":{"type":"not found"},"support_links":[{"url":"http://4dx.embl.de/4DXpress/reg/all/faq.do","type":"Frequently Asked Questions (FAQs)"},{"url":"http://4dx.embl.de/4DXpress/reg/all/help.do","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://4dx.embl.de/4DXpress/reg/all/prepareSearch/blast.do","name":"BLAST"}],"deprecation_date":"2015-04-10","deprecation_reason":"This resource is no longer maintained. Please contact us at biosharing-contact-us@lists.sf.net if you have any information relating to the activity of this database.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000337","bsg-d000337"],"name":"FAIRsharing record for: Expression Database in 4D","abbreviation":"4DXpress","url":"https://fairsharing.org/10.25504/FAIRsharing.rnx28e","doi":"10.25504/FAIRsharing.rnx28e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database provides a platform to query and compare gene expression data during the development of the major model animals (zebrafish, drosophila, medaka, mouse). The high resolution expression data was acquired through whole mount in situ hybridsation-, antibody- or transgenic experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","In situ hybridization"],"taxonomies":["Bilateria"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":389,"pubmed_id":17916571,"title":"4DXpress: a database for cross-species expression pattern comparisons.","year":2007,"url":"http://doi.org/10.1093/nar/gkm797","authors":"Haudry Y., Berube H., Letunic I., Weeber PD., Gagneur J., Girardot C., Kapushesky M., Arendt D., Bork P., Brazma A., Furlong EE., Wittbrodt J., Henrich T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm797","created_at":"2021-09-30T08:23:02.183Z","updated_at":"2021-09-30T08:23:02.183Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":352,"relation":"undefined"}],"grants":[{"id":1054,"fairsharing_record_id":1874,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:54.720Z","updated_at":"2021-09-30T09:24:54.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1875","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:37:48.310Z","metadata":{"doi":"10.25504/FAIRsharing.9b7wvk","name":"STRING","status":"ready","contacts":[{"contact_name":"Peer Bork","contact_email":"bork@embl.de","contact_orcid":"0000-0002-2627-833X"}],"homepage":"https://string-db.org/","citations":[{"doi":"10.1093/nar/gku1003","pubmed_id":25352553,"publication_id":2035}],"identifier":1875,"description":"STRING is a database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations.","abbreviation":"STRING","data_curation":{"url":"https://string-db.org/cgi/help","type":"automated","notes":"Some data derived from curated data of various database"},"support_links":[{"url":"https://string-db.org/cgi/support.pl","name":"Contact Support","type":"Contact form"},{"url":"https://string-db.org/cgi/info?footer_active_subpage=faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://string-db.org/cgi/help","name":"STRING Help","type":"Help documentation"},{"url":"https://string-db.org/cgi/info.pl?footer_active_subpage=scores","name":"About Interaction Scores","type":"Help documentation"},{"url":"https://string-db.org/cgi/about?footer_active_subpage=statistics","name":"Statistics","type":"Help documentation"},{"url":"https://string-db.org/cgi/about.pl?footer_active_subpage=content","name":"About STRING","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/cytoscape-stringapp-exercises","name":"Cytoscape stringApp exercises","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/string-exercises","name":"STRING exercises","type":"TeSS links to training materials"}],"year_creation":2000,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010604","name":"re3data:r3d100010604","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005223","name":"SciCrunch:RRID:SCR_005223","portal":"SciCrunch"}],"data_access_condition":{"url":"https://string-db.org/cgi/help","type":"open","notes":"STRING is completely free and avaliable to download for both, our academic and commercial users."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://string-db.org/cgi/help","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000340","bsg-d000340"],"name":"FAIRsharing record for: STRING","abbreviation":"STRING","url":"https://fairsharing.org/10.25504/FAIRsharing.9b7wvk","doi":"10.25504/FAIRsharing.9b7wvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STRING is a database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11345},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11525},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11843},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12245},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16185}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Computational biological predictions","Protein interaction","Functional association","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1413,"pubmed_id":26614125,"title":"SVD-phy: improved prediction of protein functional associations through singular value decomposition of phylogenetic profiles.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv696","authors":"Franceschini A,Lin J,von Mering C,Jensen LJ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv696","created_at":"2021-09-30T08:24:57.935Z","updated_at":"2021-09-30T08:24:57.935Z"},{"id":1415,"pubmed_id":23203871,"title":"STRING v9.1: protein-protein interaction networks, with increased coverage and integration.","year":2012,"url":"http://doi.org/10.1093/nar/gks1094","authors":"Franceschini A,Szklarczyk D,Frankild S,Kuhn M,Simonovic M,Roth A,Lin J,Minguez P,Bork P,von Mering C,Jensen LJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1094","created_at":"2021-09-30T08:24:58.141Z","updated_at":"2021-09-30T11:29:08.151Z"},{"id":2035,"pubmed_id":25352553,"title":"STRING v10: protein-protein interaction networks, integrated over the tree of life.","year":2014,"url":"http://doi.org/10.1093/nar/gku1003","authors":"Szklarczyk D,Franceschini A,Wyder S,Forslund K,Heller D,Huerta-Cepas J,Simonovic M,Roth A,Santos A,Tsafou KP,Kuhn M,Bork P,Jensen LJ,von Mering C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1003","created_at":"2021-09-30T08:26:09.154Z","updated_at":"2021-09-30T11:29:26.803Z"},{"id":2096,"pubmed_id":30476243,"title":"STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.","year":2018,"url":"http://doi.org/10.1093/nar/gky1131","authors":"Szklarczyk D,Gable AL,Lyon D,Junge A,Wyder S,Huerta-Cepas J,Simonovic M,Doncheva NT,Morris JH,Bork P,Jensen LJ,Mering CV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1131","created_at":"2021-09-30T08:26:16.206Z","updated_at":"2021-09-30T11:29:29.036Z"},{"id":2098,"pubmed_id":27924014,"title":"The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.","year":2016,"url":"http://doi.org/10.1093/nar/gkw937","authors":"Szklarczyk D,Morris JH,Cook H,Kuhn M,Wyder S,Simonovic M,Santos A,Doncheva NT,Roth A,Bork P,Jensen LJ,von Mering C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw937","created_at":"2021-09-30T08:26:16.412Z","updated_at":"2021-09-30T11:29:29.221Z"},{"id":2174,"pubmed_id":18940858,"title":"STRING 8--a global view on proteins and their functional interactions in 630 organisms.","year":2008,"url":"http://doi.org/10.1093/nar/gkn760","authors":"Jensen LJ., Kuhn M., Stark M., Chaffron S., Creevey C., Muller J., Doerks T., Julien P., Roth A., Simonovic M., Bork P., von Mering C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn760","created_at":"2021-09-30T08:26:24.966Z","updated_at":"2021-09-30T08:26:24.966Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1388,"relation":"undefined"}],"grants":[{"id":1055,"fairsharing_record_id":1875,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:24:54.809Z","updated_at":"2021-09-30T09:24:54.809Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1062,"fairsharing_record_id":1875,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:55.031Z","updated_at":"2021-09-30T09:24:55.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1065,"fairsharing_record_id":1875,"organisation_id":3155,"relation":"funds","created_at":"2021-09-30T09:24:55.129Z","updated_at":"2021-09-30T09:24:55.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":3155,"name":"University of Zurich, Switzerland","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1056,"fairsharing_record_id":1875,"organisation_id":2196,"relation":"funds","created_at":"2021-09-30T09:24:54.844Z","updated_at":"2021-09-30T09:24:54.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1057,"fairsharing_record_id":1875,"organisation_id":943,"relation":"funds","created_at":"2021-09-30T09:24:54.879Z","updated_at":"2021-09-30T09:24:54.879Z","grant_id":null,"is_lead":false,"saved_state":{"id":943,"name":"European Molecular Biology Organization","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1058,"fairsharing_record_id":1875,"organisation_id":1045,"relation":"funds","created_at":"2021-09-30T09:24:54.915Z","updated_at":"2021-09-30T09:24:54.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":1045,"name":"Foundation ProBioC, Heidelberg, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1060,"fairsharing_record_id":1875,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:54.968Z","updated_at":"2021-09-30T09:24:54.968Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1061,"fairsharing_record_id":1875,"organisation_id":984,"relation":"funds","created_at":"2021-09-30T09:24:54.999Z","updated_at":"2021-09-30T09:24:54.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":984,"name":"Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1063,"fairsharing_record_id":1875,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:55.060Z","updated_at":"2021-09-30T09:24:55.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1064,"fairsharing_record_id":1875,"organisation_id":3155,"relation":"maintains","created_at":"2021-09-30T09:24:55.091Z","updated_at":"2021-09-30T09:24:55.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":3155,"name":"University of Zurich, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9355,"fairsharing_record_id":1875,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.694Z","updated_at":"2022-04-11T12:07:32.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1885","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:23.679Z","metadata":{"doi":"10.25504/FAIRsharing.fs1z27","name":"TriTrypDB","status":"ready","contacts":[{"contact_name":"Omar Harb","contact_email":"oharb@pcbi.upenn.edu","contact_orcid":"0000-0003-4446-6200"}],"homepage":"http://tritrypdb.org/tritrypdb/","citations":[{"doi":"10.1093/nar/gkp851","pubmed_id":19843604,"publication_id":377}],"identifier":1885,"description":"TriTrypDB is one of the databases that can be accessed through the VEuPathDB portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the VEuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"TriTrypDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://tritrypdb.org/tritrypdb/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://tritrypdb.org/tritrypdb/app/static-content/methods.html","name":"Data Analysis Methods","type":"Help documentation"},{"url":"https://www.youtube.com/user/EuPathDB/playlists","name":"YouTube Channel","type":"Video"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011479","name":"re3data:r3d100011479","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007043","name":"SciCrunch:RRID:SCR_007043","portal":"SciCrunch"}],"data_access_condition":{"url":"https://tritrypdb.org/tritrypdb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://tritrypdb.org/tritrypdb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://tritrypdb.org/tritrypdb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000350","bsg-d000350"],"name":"FAIRsharing record for: TriTrypDB","abbreviation":"TriTrypDB","url":"https://fairsharing.org/10.25504/FAIRsharing.fs1z27","doi":"10.25504/FAIRsharing.fs1z27","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TriTrypDB is one of the databases that can be accessed through the VEuPathDB portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the VEuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Infectious Disease Medicine","Comparative Genomics"],"domains":["Pathogen","Genome"],"taxonomies":["Eukaryota","Leishmania","Leishmania major","Trypanosoma brucei","Trypanosoma cruzi","Trypanosomatidae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":377,"pubmed_id":19843604,"title":"TriTrypDB: a functional genomic resource for the Trypanosomatidae.","year":2009,"url":"http://doi.org/10.1093/nar/gkp851","authors":"Aslett M., Aurrecoechea C., Berriman M. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp851","created_at":"2021-09-30T08:23:00.509Z","updated_at":"2021-09-30T08:23:00.509Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Access Policy","licence_id":842,"licence_url":"https://tritrypdb.org/tritrypdb/app/static-content/about.html","link_id":2372,"relation":"undefined"},{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2371,"relation":"undefined"}],"grants":[{"id":1092,"fairsharing_record_id":1885,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:24:55.983Z","updated_at":"2021-09-30T09:24:55.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1089,"fairsharing_record_id":1885,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.902Z","updated_at":"2021-09-30T09:31:28.038Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9577,"fairsharing_record_id":1885,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:23:49.034Z","updated_at":"2022-06-08T09:23:49.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1090,"fairsharing_record_id":1885,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.928Z","updated_at":"2021-09-30T09:31:16.755Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8360,"fairsharing_record_id":1885,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.856Z","updated_at":"2021-09-30T09:32:15.002Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdFlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9cba83c15dede60f028fb1588eb50e5b0629cb3b/tritrypDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1915","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-06T14:46:29.022Z","metadata":{"doi":"10.25504/FAIRsharing.ek15yj","name":"Integrated Tumor Transcriptome Array and Clinical data Analysis database","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"ittaca@curie.fr"}],"homepage":"http://bioinfo.curie.fr/ittaca","identifier":1915,"description":"ITTACA is a database created for Integrated Tumor Transcriptome Array and Clinical data Analysis. ITTACA centralizes public datasets containing both gene expression and clinical data and currently focuses on the types of cancer that are of particular interest to the Institut Curie: breast carcinoma, bladder carcinoma, and uveal melanoma.","abbreviation":"ITTACA","data_curation":{"type":"not found"},"support_links":[{"url":"http://bioinfo-out.curie.fr/ittaca/documentation/documentation.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-06-24","deprecation_reason":"Message on the homepage \"ITTACA website is closed\".","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000380","bsg-d000380"],"name":"FAIRsharing record for: Integrated Tumor Transcriptome Array and Clinical data Analysis database","abbreviation":"ITTACA","url":"https://fairsharing.org/10.25504/FAIRsharing.ek15yj","doi":"10.25504/FAIRsharing.ek15yj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ITTACA is a database created for Integrated Tumor Transcriptome Array and Clinical data Analysis. ITTACA centralizes public datasets containing both gene expression and clinical data and currently focuses on the types of cancer that are of particular interest to the Institut Curie: breast carcinoma, bladder carcinoma, and uveal melanoma.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12651}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Expression data","Cancer","Gene expression","Tumor","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1541,"pubmed_id":16381943,"title":"ITTACA: a new database for integrated tumor transcriptome array and clinical data analysis.","year":2005,"url":"http://doi.org/10.1093/nar/gkj022","authors":"Elfilali A,Lair S,Verbeke C,La Rosa P,Radvanyi F,Barillot E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj022","created_at":"2021-09-30T08:25:12.590Z","updated_at":"2021-09-30T11:29:13.103Z"}],"licence_links":[],"grants":[{"id":1187,"fairsharing_record_id":1915,"organisation_id":1363,"relation":"maintains","created_at":"2021-09-30T09:24:59.058Z","updated_at":"2021-09-30T09:24:59.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":1363,"name":"Institut Curie, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1916","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.673Z","metadata":{"doi":"10.25504/FAIRsharing.jrjqc7","name":"Buruli ulcer bacillus Database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/BuruList/","identifier":1916,"description":"A database dedicated to the analysis of the genome of Mycobacterium ulcerans, the Buruli ulcer bacillus. It provides a complete dataset of DNA and protein sequences derived from the epidemic strain Agy99, linked to the relevant annotations and functional assignments.","abbreviation":"BuruList","data_curation":{"type":"not found"},"year_creation":2001,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000381","bsg-d000381"],"name":"FAIRsharing record for: Buruli ulcer bacillus Database","abbreviation":"BuruList","url":"https://fairsharing.org/10.25504/FAIRsharing.jrjqc7","doi":"10.25504/FAIRsharing.jrjqc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database dedicated to the analysis of the genome of Mycobacterium ulcerans, the Buruli ulcer bacillus. It provides a complete dataset of DNA and protein sequences derived from the epidemic strain Agy99, linked to the relevant annotations and functional assignments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Protein","Genome"],"taxonomies":["Mycobacterium ulcerans"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1189,"fairsharing_record_id":1916,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.114Z","updated_at":"2021-09-30T09:24:59.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1188,"fairsharing_record_id":1916,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.086Z","updated_at":"2021-09-30T09:24:59.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1190,"fairsharing_record_id":1916,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.141Z","updated_at":"2021-09-30T09:24:59.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1191,"fairsharing_record_id":1916,"organisation_id":1060,"relation":"funds","created_at":"2021-09-30T09:24:59.230Z","updated_at":"2021-09-30T09:24:59.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":1060,"name":"French Ministry of Education, Research and Technology, France","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1917","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:14.458Z","metadata":{"doi":"10.25504/FAIRsharing.hbbtbj","name":"Colibri","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/Colibri/","identifier":1917,"description":"Its purpose is to collate and integrate various aspects of the genomic information from E. coli, the paradigm of Gram-negative bacteria. Colibri provides a complete dataset of DNA and protein sequences derived from the paradigm strain E. coli K-12, linked to the relevant annotations and functional assignments. It allows one to easily browse through these data and retrieve information, using various criteria (gene names, location, keywords, etc.).","abbreviation":"Colibri","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/Colibri/help/general.html","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000382","bsg-d000382"],"name":"FAIRsharing record for: Colibri","abbreviation":"Colibri","url":"https://fairsharing.org/10.25504/FAIRsharing.hbbtbj","doi":"10.25504/FAIRsharing.hbbtbj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Its purpose is to collate and integrate various aspects of the genomic information from E. coli, the paradigm of Gram-negative bacteria. Colibri provides a complete dataset of DNA and protein sequences derived from the paradigm strain E. coli K-12, linked to the relevant annotations and functional assignments. It allows one to easily browse through these data and retrieve information, using various criteria (gene names, location, keywords, etc.).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1192,"fairsharing_record_id":1917,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.267Z","updated_at":"2021-09-30T09:24:59.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1193,"fairsharing_record_id":1917,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.299Z","updated_at":"2021-09-30T09:24:59.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1194,"fairsharing_record_id":1917,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.322Z","updated_at":"2021-09-30T09:24:59.322Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1906","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:54.144Z","metadata":{"doi":"10.25504/FAIRsharing.7fc5y6","name":"Eukaryotic Genes","status":"ready","contacts":[{"contact_name":"Don Gilbert","contact_email":"eugenes@iubio.bio.indiana.edu","contact_orcid":"0000-0002-6646-7274"}],"homepage":"http://eugenes.org/","identifier":1906,"description":"euGenes provides a common summary of gene and genomic information from eukaryotic organism databases including gene symbol and full name, chromosome, genetic and molecular map information, Gene Ontology (Function/Location/Process) and gene homology, product information.","abbreviation":"euGenes","data_curation":{"type":"none"},"support_links":[{"url":"http://eugenes.org/docs/","type":"Help documentation"}],"year_creation":1999,"data_versioning":"no","associated_tools":[{"url":"http://eugenes.org/tools/","name":"euGenes Tools"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000371","bsg-d000371"],"name":"FAIRsharing record for: Eukaryotic Genes","abbreviation":"euGenes","url":"https://fairsharing.org/10.25504/FAIRsharing.7fc5y6","doi":"10.25504/FAIRsharing.7fc5y6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: euGenes provides a common summary of gene and genomic information from eukaryotic organism databases including gene symbol and full name, chromosome, genetic and molecular map information, Gene Ontology (Function/Location/Process) and gene homology, product information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene name","Gene Ontology enrichment","Gene","Genome"],"taxonomies":["Anopheles gambiae","Arabidopsis thaliana","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":777,"pubmed_id":11752277,"title":"euGenes: a eukaryote genome information system.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.145","authors":"Gilbert, D.G.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.145","created_at":"2021-09-30T08:23:45.619Z","updated_at":"2021-09-30T08:23:45.619Z"}],"licence_links":[],"grants":[{"id":8440,"fairsharing_record_id":1906,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:39.401Z","updated_at":"2021-09-30T09:32:39.455Z","grant_id":1720,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-9982851","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1164,"fairsharing_record_id":1906,"organisation_id":224,"relation":"maintains","created_at":"2021-09-30T09:24:58.273Z","updated_at":"2021-09-30T09:24:58.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":224,"name":"BioComputing laboratory, University of Padua, Italy","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1165,"fairsharing_record_id":1906,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:58.306Z","updated_at":"2021-09-30T09:32:07.207Z","grant_id":1477,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0090782","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1907","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:27.101Z","metadata":{"doi":"10.25504/FAIRsharing.h5epxm","name":"Daphnia Water Flea Genome Database","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"daphnia@iubio.bio.indiana.edu"}],"homepage":"http://wfleabase.org/","identifier":1907,"description":"wFleaBase includes data from all species of the genus, yet the primary species are Daphnia pulex and Daphnia magna, because of the broad set of genomic tools that have already been developed for these animals.","abbreviation":"wFleaBase","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://wfleabase.org/docs/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://wfleabase.org/blast/","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000372","bsg-d000372"],"name":"FAIRsharing record for: Daphnia Water Flea Genome Database","abbreviation":"wFleaBase","url":"https://fairsharing.org/10.25504/FAIRsharing.h5epxm","doi":"10.25504/FAIRsharing.h5epxm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: wFleaBase includes data from all species of the genus, yet the primary species are Daphnia pulex and Daphnia magna, because of the broad set of genomic tools that have already been developed for these animals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Ecology","Computational Biology","Life Science"],"domains":["Genome visualization","Genome"],"taxonomies":["Daphnia","Daphnia magna","Daphnia pulex"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":412,"pubmed_id":15752432,"title":"wFleaBase: the Daphnia genome database.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-45","authors":"Colbourne JK., Singan VR., Gilbert DG.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-45","created_at":"2021-09-30T08:23:04.766Z","updated_at":"2021-09-30T08:23:04.766Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":516,"relation":"undefined"},{"licence_name":"wFleaBase Academic use","licence_id":859,"licence_url":"http://wfleabase.org/docs/wfleabase-copyright.html","link_id":517,"relation":"undefined"}],"grants":[{"id":1166,"fairsharing_record_id":1907,"organisation_id":224,"relation":"maintains","created_at":"2021-09-30T09:24:58.340Z","updated_at":"2021-09-30T09:24:58.340Z","grant_id":null,"is_lead":false,"saved_state":{"id":224,"name":"BioComputing laboratory, University of Padua, Italy","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1169,"fairsharing_record_id":1907,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:58.412Z","updated_at":"2021-09-30T09:30:26.265Z","grant_id":710,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01HG002733-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1167,"fairsharing_record_id":1907,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:58.363Z","updated_at":"2021-09-30T09:30:33.973Z","grant_id":767,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0090782","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9394,"fairsharing_record_id":1907,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.461Z","updated_at":"2022-04-11T12:07:35.461Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1908","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:13.800Z","metadata":{"doi":"10.25504/FAIRsharing.mx41z8","name":"FusionDB","status":"deprecated","contacts":[{"contact_name":"Karsten Suhre","contact_email":"karsten.suhre@igs.cnrs-mrs.fr"}],"homepage":"http://igs-server.cnrs-mrs.fr/FusionDB/","identifier":1908,"description":"FusionDB is a database of bacterial and archaeal gene fusion events - also known as Rosetta stones","abbreviation":"FusionDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.igs.cnrs-mrs.fr/FusionDB/help.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2015-07-28","deprecation_reason":"This resource is no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000373","bsg-d000373"],"name":"FAIRsharing record for: FusionDB","abbreviation":"FusionDB","url":"https://fairsharing.org/10.25504/FAIRsharing.mx41z8","doi":"10.25504/FAIRsharing.mx41z8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FusionDB is a database of bacterial and archaeal gene fusion events - also known as Rosetta stones","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":410,"pubmed_id":14681411,"title":"FusionDB: a database for in-depth analysis of prokaryotic gene fusion events.","year":2003,"url":"http://doi.org/10.1093/nar/gkh053","authors":"Suhre K., Claverie JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh053","created_at":"2021-09-30T08:23:04.567Z","updated_at":"2021-09-30T08:23:04.567Z"}],"licence_links":[],"grants":[{"id":1170,"fairsharing_record_id":1908,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:58.440Z","updated_at":"2021-09-30T09:24:58.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1909","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T08:35:52.330Z","metadata":{"doi":"10.25504/FAIRsharing.cb05hf","name":"Aphid Genomics Database","status":"ready","contacts":[{"contact_name":"Fabrice Legeai","contact_email":"fabrice.legeai@rennes.inra.fr"}],"homepage":"http://www.aphidbase.com/","identifier":1909,"description":"The Aphid Genome Database's aim is to improve the current pea aphid genome assembly and annotation, and to provide new aphid genome sequences as well as tools for analysis of these genomes.","abbreviation":"AphidBase","data_curation":{"type":"not found"},"support_links":[{"url":"aphidgenomics@listes.inra.fr","type":"Mailing list"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"http://tools.genouest.org/tools/genouestsf/aphidblast.php/en/","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://bipaa.genouest.org/is/aphidbase/iagc/","type":"open","notes":"User should become a resource member"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000374","bsg-d000374"],"name":"FAIRsharing record for: Aphid Genomics Database","abbreviation":"AphidBase","url":"https://fairsharing.org/10.25504/FAIRsharing.cb05hf","doi":"10.25504/FAIRsharing.cb05hf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Aphid Genome Database's aim is to improve the current pea aphid genome assembly and annotation, and to provide new aphid genome sequences as well as tools for analysis of these genomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome annotation","Genomic assembly","Genome"],"taxonomies":["Aphididae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":406,"pubmed_id":20482635,"title":"AphidBase: a centralized bioinformatic resource for annotation of the pea aphid genome.","year":2010,"url":"http://doi.org/10.1111/j.1365-2583.2009.00930.x","authors":"Legeai F., Shigenobu S., Gauthier JP., Colbourne J., Rispe C., Collin O., Richards S., Wilson AC., Murphy T., Tagu D.,","journal":"Insect Mol. Biol.","doi":"10.1111/j.1365-2583.2009.00930.x","created_at":"2021-09-30T08:23:04.108Z","updated_at":"2021-09-30T08:23:04.108Z"},{"id":1496,"pubmed_id":17237053,"title":"AphidBase: a database for aphid genomic resources.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btl682","authors":"Gauthier JP,Legeai F,Zasadzinski A,Rispe C,Tagu D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl682","created_at":"2021-09-30T08:25:07.577Z","updated_at":"2021-09-30T08:25:07.577Z"}],"licence_links":[],"grants":[{"id":1172,"fairsharing_record_id":1909,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:58.529Z","updated_at":"2021-09-30T09:29:44.902Z","grant_id":384,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service","grant":"2007-04628","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12021,"fairsharing_record_id":1909,"organisation_id":2066,"relation":"maintains","created_at":"2024-07-04T08:31:28.242Z","updated_at":"2024-07-04T08:31:28.242Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1910","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-24T14:44:02.656Z","metadata":{"doi":"10.25504/FAIRsharing.a8z6gz","name":"ProDom","status":"deprecated","contacts":[{"contact_name":"General Help","contact_email":"prohelp@prabi.fr"}],"homepage":"http://prodom.prabi.fr/","citations":[{"doi":"10.1093/bib/3.3.246","pubmed_id":12230033,"publication_id":1594}],"identifier":1910,"description":"ProDom is a comprehensive set of protein domain families automatically generated from the UniProt Knowledge Database.","abbreviation":"ProDom","data_curation":{"type":"not found"},"support_links":[{"url":"http://prodom.prabi.fr/prodom/current/documentation/help.php","type":"Help documentation"},{"url":"http://prodom.prabi.fr/prodom/current/html/webservices.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://avatar.se/molscript/","name":"MolScript"},{"url":"http://prodomweb.univ-lyon1.fr/prodom/xdom/","name":"mkdom/Xdom"},{"url":"http://espript.ibcp.fr/ESPript/cgi-bin/ESPript.cgi","name":"ESPript"}],"deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000375","bsg-d000375"],"name":"FAIRsharing record for: ProDom","abbreviation":"ProDom","url":"https://fairsharing.org/10.25504/FAIRsharing.a8z6gz","doi":"10.25504/FAIRsharing.a8z6gz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProDom is a comprehensive set of protein domain families automatically generated from the UniProt Knowledge Database.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11348},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12166},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12649}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":420,"pubmed_id":15608179,"title":"The ProDom database of protein domain families: more emphasis on 3D","year":2004,"url":"http://doi.org/10.1093/nar/gki034","authors":"Bru C., Courcelle E., Carrère S., Beausse Y., Dalmar S., Kahn D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki034","created_at":"2021-09-30T08:23:05.658Z","updated_at":"2021-09-30T08:23:05.658Z"},{"id":1594,"pubmed_id":12230033,"title":"ProDom: automated clustering of homologous domains.","year":2002,"url":"http://doi.org/10.1093/bib/3.3.246","authors":"Servant F,Bru C,Carrere S,Courcelle E,Gouzy J,Peyruc D,Kahn D","journal":"Brief Bioinform","doi":"10.1093/bib/3.3.246","created_at":"2021-09-30T08:25:18.695Z","updated_at":"2021-09-30T08:25:18.695Z"}],"licence_links":[{"licence_name":"Prodom Database License","licence_id":681,"licence_url":"http://prodom.prabi.fr/prodom/current/html/downcom.php","link_id":551,"relation":"undefined"}],"grants":[{"id":1176,"fairsharing_record_id":1910,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:58.649Z","updated_at":"2021-09-30T09:24:58.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1173,"fairsharing_record_id":1910,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:24:58.567Z","updated_at":"2021-09-30T09:24:58.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1175,"fairsharing_record_id":1910,"organisation_id":2439,"relation":"funds","created_at":"2021-09-30T09:24:58.623Z","updated_at":"2021-09-30T09:24:58.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1918","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:28:56.452Z","metadata":{"doi":"10.25504/FAIRsharing.amxd1s","name":"GenoList Genome Browser","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/","citations":[],"identifier":1918,"description":"GenoList is an integrated environment for comparative exploration of microbial genomes. The current release integrates genome data for over 700 species (Genome Reviews). The query and navigation user interface includes specialized tools for subtractive genome analysis and dynamic synteny visualization.","abbreviation":"GenoList","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"While this resource had incorporated a number of deprecated databases, GenoList is now itself deprecated, as it is no longer available at the stated homepage, and the organisation has stated that the resource has been discontinued. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000383","bsg-d000383"],"name":"FAIRsharing record for: GenoList Genome Browser","abbreviation":"GenoList","url":"https://fairsharing.org/10.25504/FAIRsharing.amxd1s","doi":"10.25504/FAIRsharing.amxd1s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenoList is an integrated environment for comparative exploration of microbial genomes. The current release integrates genome data for over 700 species (Genome Reviews). The query and navigation user interface includes specialized tools for subtractive genome analysis and dynamic synteny visualization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2297,"pubmed_id":18032431,"title":"GenoList: an integrated environment for comparative analysis of microbial genomes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm1042","authors":"Lechat P,Hummel L,Rousseau S,Moszer I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm1042","created_at":"2021-09-30T08:26:40.690Z","updated_at":"2021-09-30T11:29:32.753Z"}],"licence_links":[],"grants":[{"id":1195,"fairsharing_record_id":1918,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.348Z","updated_at":"2021-09-30T09:24:59.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1196,"fairsharing_record_id":1918,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.372Z","updated_at":"2021-09-30T09:24:59.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1919","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.771Z","metadata":{"doi":"10.25504/FAIRsharing.dntrmf","name":"Legionella pneumophila genome database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"cbuch@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/LegioList/","identifier":1919,"description":"LegioList is a database dedicated to the analysis of the genomes of Legionella pneumophila strain Paris (endemic in France), strain Lens (epidemic isolate), strain Phildelphia 1, and strain Corby. It also includes the genome of Legionella longbeachae strain NSW150.","abbreviation":"LegioList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/LegioList/help/general.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000384","bsg-d000384"],"name":"FAIRsharing record for: Legionella pneumophila genome database","abbreviation":"LegioList","url":"https://fairsharing.org/10.25504/FAIRsharing.dntrmf","doi":"10.25504/FAIRsharing.dntrmf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LegioList is a database dedicated to the analysis of the genomes of Legionella pneumophila strain Paris (endemic in France), strain Lens (epidemic isolate), strain Phildelphia 1, and strain Corby. It also includes the genome of Legionella longbeachae strain NSW150.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Genome"],"taxonomies":["Legionella pneumophila"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1198,"fairsharing_record_id":1919,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.422Z","updated_at":"2021-09-30T09:24:59.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1197,"fairsharing_record_id":1919,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.398Z","updated_at":"2021-09-30T09:24:59.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1920","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:14.729Z","metadata":{"doi":"10.25504/FAIRsharing.93gy4v","name":"Listeria innocua and Listeria monocytogenes genomes database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/ListiList/","identifier":1920,"description":"ListiList is a database dedicated to the analysis of the genomes of the food-borne pathogen, Listeria monocytogenes, and its non-pathogenic relative, Listeria innocua. Its purpose is to collate and integrate various aspects of the genomic information from L. monocytogenes, a paradigm for bacterial-host interactions.","abbreviation":"ListiList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/ListiList/help/general.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000385","bsg-d000385"],"name":"FAIRsharing record for: Listeria innocua and Listeria monocytogenes genomes database","abbreviation":"ListiList","url":"https://fairsharing.org/10.25504/FAIRsharing.93gy4v","doi":"10.25504/FAIRsharing.93gy4v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ListiList is a database dedicated to the analysis of the genomes of the food-borne pathogen, Listeria monocytogenes, and its non-pathogenic relative, Listeria innocua. Its purpose is to collate and integrate various aspects of the genomic information from L. monocytogenes, a paradigm for bacterial-host interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Listeria monocytogenes"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1199,"fairsharing_record_id":1920,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:59.448Z","updated_at":"2021-09-30T09:24:59.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1200,"fairsharing_record_id":1920,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.475Z","updated_at":"2021-09-30T09:24:59.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1921","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:14.822Z","metadata":{"doi":"10.25504/FAIRsharing.pmz447","name":"Mycoplasma pulmonis genome database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"moszer@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/MypuList/","identifier":1921,"description":"Its purpose is to collate and integrate various aspects of the genomic information from M. pulmonis, a mollicute causal agent of murine respiratory mycoplasmosis. MypuList provides a complete dataset of DNA and protein sequences derived from the strain M. pulmonis UAB CTIP, linked to the relevant annotations and functional assignments.","abbreviation":"MypuList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/MypuList/help/general.html","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","associated_tools":[{"url":"http://genolist.pasteur.fr/MypuList/help/blast-search.html","name":"BLAST"}],"deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000386","bsg-d000386"],"name":"FAIRsharing record for: Mycoplasma pulmonis genome database","abbreviation":"MypuList","url":"https://fairsharing.org/10.25504/FAIRsharing.pmz447","doi":"10.25504/FAIRsharing.pmz447","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Its purpose is to collate and integrate various aspects of the genomic information from M. pulmonis, a mollicute causal agent of murine respiratory mycoplasmosis. MypuList provides a complete dataset of DNA and protein sequences derived from the strain M. pulmonis UAB CTIP, linked to the relevant annotations and functional assignments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Structure","Protein","Genome"],"taxonomies":["Mycoplasma pulmonis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1201,"fairsharing_record_id":1921,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.498Z","updated_at":"2021-09-30T09:24:59.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1922","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.849Z","metadata":{"doi":"10.25504/FAIRsharing.9ppftz","name":"Photorhabdus luminescens genome database","status":"deprecated","contacts":[{"contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/PhotoList/","identifier":1922,"description":"PhotoList, contains a database dedicated to the analysis of the genome of Photorhabdus luminescens. This analysis has been described in: \"The genome sequence of the entomopathogenic bacterium Photorhabdus luminescens\"","abbreviation":"PhotoList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/PhotoList/help/general.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://genolist.pasteur.fr/PhotoList/help/blast-search.html","name":"BLAST"}],"deprecation_date":"2018-04-10","deprecation_reason":"Deprecated by Allyson Lister. Deprecation confirmed via resource homepage, which asks users to use GenoList instead.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000387","bsg-d000387"],"name":"FAIRsharing record for: Photorhabdus luminescens genome database","abbreviation":"PhotoList","url":"https://fairsharing.org/10.25504/FAIRsharing.9ppftz","doi":"10.25504/FAIRsharing.9ppftz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhotoList, contains a database dedicated to the analysis of the genome of Photorhabdus luminescens. This analysis has been described in: \"The genome sequence of the entomopathogenic bacterium Photorhabdus luminescens\"","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Photorhabdus luminescens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1203,"fairsharing_record_id":1922,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.549Z","updated_at":"2021-09-30T09:24:59.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1202,"fairsharing_record_id":1922,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.524Z","updated_at":"2021-09-30T09:24:59.524Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1923","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.930Z","metadata":{"doi":"10.25504/FAIRsharing.x54ymh","name":"Streptococcus agalactiae NEM316 / Serotype III genome database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"pglaser@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/SagaList/","identifier":1923,"description":"SagaList contains a database dedicated to the analysis of the genomes of the food-borne pathogen, Streptococcus agalactiae.","abbreviation":"SagaList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/SagaList/help/general.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000388","bsg-d000388"],"name":"FAIRsharing record for: Streptococcus agalactiae NEM316 / Serotype III genome database","abbreviation":"SagaList","url":"https://fairsharing.org/10.25504/FAIRsharing.x54ymh","doi":"10.25504/FAIRsharing.x54ymh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SagaList contains a database dedicated to the analysis of the genomes of the food-borne pathogen, Streptococcus agalactiae.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Streptococcus agalactiae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1206,"fairsharing_record_id":1923,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.648Z","updated_at":"2021-09-30T09:24:59.648Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1204,"fairsharing_record_id":1923,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:59.580Z","updated_at":"2021-09-30T09:24:59.580Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1205,"fairsharing_record_id":1923,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.619Z","updated_at":"2021-09-30T09:24:59.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1928","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:11.899Z","metadata":{"doi":"10.25504/FAIRsharing.5f5mfm","name":"Bactibase: database dedicated to bacteriocins","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"admin@pfba-lab-tun.org"}],"homepage":"http://bactibase.hammamilab.org/main.php","citations":[],"identifier":1928,"description":"BACTIBASE contains calculated or predicted physicochemical properties of bacteriocins produced by both Gram-positive and Gram-negative bacteria. The information in this database is very easy to extract and allows rapid prediction of relationships structure/function and target organisms of these peptides and therefore better exploitation of their biological activity in both the medical and food sectors.","abbreviation":"BACTIBASE","data_curation":{"type":"not found"},"support_links":[{"url":"http://bactibase.pfba-lab-tun.org/contacts.php","type":"Contact form"},{"url":"http://bactibase.pfba-lab-tun.org/faq.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"no","associated_tools":[{"url":"http://bactibase.pfba-lab-tun.org/blast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012755","name":"re3data:r3d100012755","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006694","name":"SciCrunch:RRID:SCR_006694","portal":"SciCrunch"}],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000393","bsg-d000393"],"name":"FAIRsharing record for: Bactibase: database dedicated to bacteriocins","abbreviation":"BACTIBASE","url":"https://fairsharing.org/10.25504/FAIRsharing.5f5mfm","doi":"10.25504/FAIRsharing.5f5mfm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BACTIBASE contains calculated or predicted physicochemical properties of bacteriocins produced by both Gram-positive and Gram-negative bacteria. The information in this database is very easy to extract and allows rapid prediction of relationships structure/function and target organisms of these peptides and therefore better exploitation of their biological activity in both the medical and food sectors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":425,"pubmed_id":20105292,"title":"BACTIBASE second release: a database and tool platform for bacteriocin characterization.","year":2010,"url":"http://doi.org/10.1186/1471-2180-10-22","authors":"Hammami R., Zouhir A., Le Lay C., Ben Hamida J., Fliss I.,","journal":"BMC Microbiol.","doi":"10.1186/1471-2180-10-22","created_at":"2021-09-30T08:23:06.183Z","updated_at":"2021-09-30T08:23:06.183Z"},{"id":1612,"pubmed_id":17941971,"title":"BACTIBASE: a new web-accessible database for bacteriocin characterization.","year":2007,"url":"http://doi.org/10.1186/1471-2180-7-89","authors":"Hammami R,Zouhir A,Ben Hamida J,Fliss I","journal":"BMC Microbiol","doi":"10.1186/1471-2180-7-89","created_at":"2021-09-30T08:25:20.677Z","updated_at":"2021-09-30T08:25:20.677Z"}],"licence_links":[{"licence_name":"BACTIBASE Terms of Use","licence_id":54,"licence_url":"http://bactibase.pfba-lab-tun.org/terms.php","link_id":1064,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1069,"relation":"undefined"}],"grants":[{"id":1216,"fairsharing_record_id":1928,"organisation_id":1690,"relation":"maintains","created_at":"2021-09-30T09:24:59.917Z","updated_at":"2021-09-30T09:24:59.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":1690,"name":"Laval University, Quebec, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1217,"fairsharing_record_id":1928,"organisation_id":1247,"relation":"maintains","created_at":"2021-09-30T09:24:59.940Z","updated_at":"2021-09-30T09:24:59.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1247,"name":"Higher Institute of Applied Biological Sciences of Tunis (ISSBAT), Tunis, Tunisia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1929","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-16T15:44:16.984Z","metadata":{"doi":"10.25504/FAIRsharing.xxdxtv","name":"Human Proteinpedia","status":"deprecated","contacts":[{"contact_name":"Pandey Akhilesh","contact_email":"pandey.akhilesh@mayo.edu","contact_orcid":null}],"homepage":"http://www.humanproteinpedia.org/","citations":[],"identifier":1929,"description":"Human Proteinpedia is a community portal for sharing and integration of human protein data. It allows research laboratories to contribute and maintain protein annotations. ","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://pdas.hprd.org/help","type":"Contact form"},{"url":"http://www.humanproteinpedia.org/FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010985","name":"re3data:r3d100010985","portal":"re3data"}],"deprecation_date":"2022-12-02","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000394","bsg-d000394"],"name":"FAIRsharing record for: Human Proteinpedia","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xxdxtv","doi":"10.25504/FAIRsharing.xxdxtv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Human Proteinpedia is a community portal for sharing and integration of human protein data. It allows research laboratories to contribute and maintain protein annotations. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":418,"pubmed_id":18948298,"title":"Human Proteinpedia: a unified discovery resource for proteomics research.","year":2008,"url":"http://doi.org/10.1093/nar/gkn701","authors":"Kandasamy K., Keerthikumar S., Goel R., Mathivanan S., Patankar N., Shafreen B., Renuse S., Pawar H., Ramachandra YL., Acharya PK., Ranganathan P., Chaerkady R., Keshava Prasad TS., Pandey A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn701","created_at":"2021-09-30T08:23:05.452Z","updated_at":"2021-09-30T08:23:05.452Z"}],"licence_links":[],"grants":[{"id":1219,"fairsharing_record_id":1929,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:59.991Z","updated_at":"2021-09-30T09:31:58.535Z","grant_id":1412,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54 RR020839","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9337,"fairsharing_record_id":1929,"organisation_id":1402,"relation":"maintains","created_at":"2022-04-11T12:07:31.358Z","updated_at":"2022-04-11T12:07:31.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":1402,"name":"Institute of Bioinformatics, Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1930","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:08.642Z","metadata":{"doi":"10.25504/FAIRsharing.y2qws7","name":"Human Protein Reference Database","status":"deprecated","contacts":[{"contact_name":"Akhilesh Pandey","contact_email":"pandey.akhilesh@mayo.edu","contact_orcid":"0000-0001-9943-6127"}],"homepage":"http://www.hprd.org/","citations":[],"identifier":1930,"description":"The Human Protein Reference Database represents a centralized platform to visually depict and integrate information pertaining to domain architecture, post-translational modifications, interaction networks and disease association for each protein in the human proteome.","abbreviation":"HPRD","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hprd.org/help","type":"Contact form"},{"url":"http://www.hprd.org/FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/Human_Protein_Reference_Database","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://www.hprd.org/blast_page","name":"BLAST"},{"url":"http://www.hprd.org/query","name":"search"},{"url":"http://www.hprd.org/blast_page","name":"BLAST"},{"url":"http://www.hprd.org/query","name":"search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010978","name":"re3data:r3d100010978","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007027","name":"SciCrunch:RRID:SCR_007027","portal":"SciCrunch"}],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000395","bsg-d000395"],"name":"FAIRsharing record for: Human Protein Reference Database","abbreviation":"HPRD","url":"https://fairsharing.org/10.25504/FAIRsharing.y2qws7","doi":"10.25504/FAIRsharing.y2qws7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Protein Reference Database represents a centralized platform to visually depict and integrate information pertaining to domain architecture, post-translational modifications, interaction networks and disease association for each protein in the human proteome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Structure","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India","United States"],"publications":[{"id":1347,"pubmed_id":18988627,"title":"Human Protein Reference Database--2009 update.","year":2008,"url":"http://doi.org/10.1093/nar/gkn892","authors":"Keshava Prasad TS., Goel R., Kandasamy K., Keerthikumar S., Kumar S., Mathivanan S., Telikicherla D., Raju R., Shafreen B., Venugopal A., Balakrishnan L., Marimuthu A., Banerjee S., Somanathan DS., Sebastian A., Rani S., Ray S., Harrys Kishore CJ., Kanth S., Ahmed M., Kashyap MK., Mohmood R., Ramachandra YL., Krishna V., Rahiman BA., Mohan S., Ranganathan P., Ramabadran S., Chaerkady R., Pandey A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn892","created_at":"2021-09-30T08:24:50.752Z","updated_at":"2021-09-30T08:24:50.752Z"}],"licence_links":[],"grants":[{"id":9336,"fairsharing_record_id":1930,"organisation_id":1402,"relation":"maintains","created_at":"2022-04-11T12:07:31.287Z","updated_at":"2022-04-11T12:07:31.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":1402,"name":"Institute of Bioinformatics, Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1931","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-07T10:08:25.771Z","metadata":{"doi":"10.25504/FAIRsharing.g6kz6h","name":"Infevers","status":"ready","contacts":[{"contact_name":"Project Manager","contact_email":"florian.milhavet@inserm.fr","contact_orcid":null}],"homepage":"https://infevers.umai-montpellier.fr/web/","citations":[],"identifier":1931,"description":"A registry of Hereditary Auto-inflammatory Disorder Mutations.","abbreviation":"Infevers","data_curation":{"url":"https://infevers.umai-montpellier.fr/web/instructions_for_use.php","type":"manual","notes":"data depositors instructions"},"support_links":[{"url":"https://infevers.umai-montpellier.fr/web/contact.php?n=56","type":"Contact form"},{"url":"https://infevers.umai-montpellier.fr/web/instructions_for_use.php","type":"Help documentation"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010548","name":"re3data:r3d100010548","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007738","name":"SciCrunch:RRID:SCR_007738","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkg031","type":"open","notes":"See Data Processes and Conditions"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000396","bsg-d000396"],"name":"FAIRsharing record for: Infevers","abbreviation":"Infevers","url":"https://fairsharing.org/10.25504/FAIRsharing.g6kz6h","doi":"10.25504/FAIRsharing.g6kz6h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A registry of Hereditary Auto-inflammatory Disorder Mutations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Inflammatory response","Mutation analysis","Mutation","Genetic polymorphism","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":251,"pubmed_id":12520003,"title":"INFEVERS: the Registry for FMF and hereditary inflammatory disorders mutations.","year":2003,"url":"http://doi.org/10.1093/nar/gkg031","authors":"Sarrauste de Menthière C., Terrière S., Pugnère D., Ruiz M., Demaille J., Touitou I.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg031","created_at":"2021-09-30T08:22:47.098Z","updated_at":"2021-09-30T08:22:47.098Z"},{"id":408,"pubmed_id":18409191,"title":"The infevers autoinflammatory mutation online registry: update with new genes and functions.","year":2008,"url":"http://doi.org/10.1002/humu.20720","authors":"Milhavet F., Cuisset L., Hoffman HM., Slim R., El-Shanti H., Aksentijevich I., Lesage S., Waterham H., Wise C., Sarrauste de Menthiere C., Touitou I.,","journal":"Hum. Mutat.","doi":"10.1002/humu.20720","created_at":"2021-09-30T08:23:04.325Z","updated_at":"2021-09-30T08:23:04.325Z"}],"licence_links":[{"licence_name":"Infevers General conditions of use","licence_id":439,"licence_url":"https://infevers.umai-montpellier.fr/web/conditons.html","link_id":587,"relation":"undefined"},{"licence_name":"Infevers Instructions for use","licence_id":440,"licence_url":"https://infevers.umai-montpellier.fr/web/instructions_for_use.php","link_id":583,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":584,"relation":"undefined"}],"grants":[{"id":1221,"fairsharing_record_id":1931,"organisation_id":1417,"relation":"maintains","created_at":"2021-09-30T09:25:00.041Z","updated_at":"2021-09-30T09:25:00.041Z","grant_id":null,"is_lead":false,"saved_state":{"id":1417,"name":"Institute of Human Genetics (IGH), Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11760,"fairsharing_record_id":1931,"organisation_id":4359,"relation":"funds","created_at":"2024-05-06T08:40:11.125Z","updated_at":"2024-05-06T08:40:11.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":4359,"name":"The International Society of Systemic Auto-Inflammatory Diseases","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1904","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-26T10:01:44.149Z","metadata":{"doi":"10.25504/FAIRsharing.dt9z89","name":"DisProt","status":"ready","contacts":[{"contact_name":"Silvio C.E. Tosatto","contact_email":"silvio.tosatto@unipd.it","contact_orcid":"0000-0003-4525-7793"}],"homepage":"https://disprot.org/","citations":[{"doi":"10.1093/nar/gkw1056","pubmed_id":27899601,"publication_id":1919},{"doi":"10.1093/nar/gkz975","pubmed_id":31713636,"publication_id":1920},{"doi":"10.1093/nar/gkab1082","pubmed_id":null,"publication_id":3415}],"identifier":1904,"description":"The Database of Protein Disorder (DisProt) is a curated database that provides information about intrinsically disordered proteins that lack fixed 3D structure in their putatively native states, either in their entirety or in part. Disordered regions are manually curated from literature. DisProt annotations cover both structural and functional aspects of disorder detected by specific experimental methods.","abbreviation":"DisProt","data_curation":{"url":"https://disprot.org/biocuration","type":"manual"},"support_links":[{"url":"https://disprot.github.io/","name":"DisProt Blog","type":"Github"},{"url":"disprot@ngp-net.bio.unipd.it","name":"General Contact","type":"Support email"},{"url":"https://disprot.org/help","name":"Help","type":"Help documentation"},{"url":"https://disprot.org/about","name":"About","type":"Help documentation"},{"url":"https://disprot.org/release-notes","name":"Release Notes","type":"Help documentation"},{"url":"https://twitter.com/disprot_db","name":"@disprot_db","type":"Twitter"}],"year_creation":2006,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010561","name":"re3data:r3d100010561","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007097","name":"SciCrunch:RRID:SCR_007097","portal":"SciCrunch"}],"data_access_condition":{"url":"https://disprot.org/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled","notes":"Data drawn from literature"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000369","bsg-d000369"],"name":"FAIRsharing record for: DisProt","abbreviation":"DisProt","url":"https://fairsharing.org/10.25504/FAIRsharing.dt9z89","doi":"10.25504/FAIRsharing.dt9z89","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Protein Disorder (DisProt) is a curated database that provides information about intrinsically disordered proteins that lack fixed 3D structure in their putatively native states, either in their entirety or in part. Disordered regions are manually curated from literature. DisProt annotations cover both structural and functional aspects of disorder detected by specific experimental methods.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11526},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12648}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology","Biomedical Science","Biology"],"domains":["Protein structure","Disease","Intrinsically disordered proteins","Protein","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":424,"pubmed_id":17145717,"title":"DisProt: the Database of Disordered Proteins.","year":2006,"url":"http://doi.org/10.1093/nar/gkl893","authors":"Sickmeier M., Hamilton JA., LeGall T., Vacic V., Cortese MS., Tantos A., Szabo B., Tompa P., Chen J., Uversky VN., Obradovic Z., Dunker AK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl893","created_at":"2021-09-30T08:23:06.075Z","updated_at":"2021-09-30T08:23:06.075Z"},{"id":1919,"pubmed_id":27899601,"title":"DisProt 7.0: a major update of the database of disordered proteins.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1056","authors":"Piovesan D,Tabaro F,Micetic I et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1056","created_at":"2021-09-30T08:25:55.954Z","updated_at":"2021-09-30T11:29:23.978Z"},{"id":1920,"pubmed_id":31713636,"title":"DisProt: intrinsic protein disorder annotation in 2020.","year":2019,"url":"http://doi.org/10.1093/nar/gkz975","authors":"Hatos A,Hajdu-Soltesz B,Monzon AM et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz975","created_at":"2021-09-30T08:25:56.051Z","updated_at":"2021-09-30T11:29:24.077Z"},{"id":3415,"pubmed_id":null,"title":"DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1082","authors":"Quaglia, Federica; Mészáros, Bálint; Salladini, Edoardo; Hatos, András; Pancsa, Rita; Chemes, Lucía B; Pajkos, Mátyás; Lazar, Tamas; Peña-Díaz, Samuel; Santos, Jaime; Ács, Veronika; Farahi, Nazanin; Fichó, Erzsébet; Aspromonte, Maria Cristina; Bassot, Claudio; Chasapi, Anastasia; Davey, Norman E; Davidović, Radoslav; Dobson, Laszlo; Elofsson, Arne; Erdős, Gábor; Gaudet, Pascale; Giglio, Michelle; Glavina, Juliana; Iserte, Javier; Iglesias, Valentín; Kálmán, Zsófia; Lambrughi, Matteo; Leonardi, Emanuela; Longhi, Sonia; Macedo-Ribeiro, Sandra; Maiani, Emiliano; Marchetti, Julia; Marino-Buslje, Cristina; Mészáros, Attila; Monzon, Alexander Miguel; Minervini, Giovanni; Nadendla, Suvarna; Nilsson, Juliet F; Novotný, Marian; Ouzounis, Christos A; Palopoli, Nicolás; Papaleo, Elena; Pereira, Pedro José Barbosa; Pozzati, Gabriele; Promponas, Vasilis J; Pujols, Jordi; Rocha, Alma Carolina Sanchez; Salas, Martin; Sawicki, Luciana Rodriguez; Schad, Eva; Shenoy, Aditi; Szaniszló, Tamás; Tsirigos, Konstantinos D; Veljkovic, Nevena; Parisi, Gustavo; Ventura, Salvador; Dosztányi, Zsuzsanna; Tompa, Peter; Tosatto, Silvio C E; Piovesan, Damiano; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1082","created_at":"2022-05-26T08:42:53.580Z","updated_at":"2022-05-26T08:42:53.580Z"},{"id":4296,"pubmed_id":37904585,"title":"DisProt in 2024: improving function annotation of intrinsically disordered proteins.","year":2024,"url":"https://doi.org/10.1093/nar/gkad928","authors":"Aspromonte MC, Nugnes MV, Quaglia F, Bouharoua A, DisProt Consortium, Tosatto SCE, Piovesan D","journal":"Nucleic acids research","doi":"10.1093/nar/gkad928","created_at":"2024-06-24T11:19:11.391Z","updated_at":"2024-06-24T11:19:11.391Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2440,"relation":"undefined"}],"grants":[{"id":1160,"fairsharing_record_id":1904,"organisation_id":2175,"relation":"funds","created_at":"2021-09-30T09:24:58.138Z","updated_at":"2021-09-30T09:24:58.138Z","grant_id":null,"is_lead":false,"saved_state":{"id":2175,"name":"Non-Globular Proteins-net (NGP-net), Padova, Italy","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1161,"fairsharing_record_id":1904,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:58.168Z","updated_at":"2021-09-30T09:24:58.168Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1159,"fairsharing_record_id":1904,"organisation_id":3001,"relation":"maintains","created_at":"2021-09-30T09:24:58.115Z","updated_at":"2022-10-20T14:45:38.203Z","grant_id":null,"is_lead":true,"saved_state":{"id":3001,"name":"University of Padua","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1162,"fairsharing_record_id":1904,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:24:58.207Z","updated_at":"2021-09-30T09:32:12.063Z","grant_id":1513,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","grant":"778247","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZXc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ce333deb845c2c22f31a600d5f86c7627e01aa1d/disprotlogo.png?disposition=inline","exhaustive_licences":false}},{"id":"1911","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:27:38.245Z","metadata":{"doi":"10.25504/FAIRsharing.c3kchy","name":"SpodoBase","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"spodobase@ensam.inra.fr"}],"homepage":"http://www.spodobase.univ-montp2.fr/Spodobase/","citations":[],"identifier":1911,"description":"SpodoBase is an integrated database for the genomics of the Lepidoptera Spodoptera frugiperda. It is a publicly available structured database with insect pest sequences which will allow identification of a number of genes and comprehensive cloning of gene families of interest for the scientific community.","abbreviation":"SpodoBase","data_curation":{"type":"not found"},"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://bioweb.ensam.inra.fr/Spodopterav3/blast","name":"BLAST"}],"deprecation_date":"2023-03-20","deprecation_reason":"The database seems still there, but the FAIRsharing team can no longer access the data or assess its quality so we have deprecated the record. Please get in touch if you have any information. \n","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000376","bsg-d000376"],"name":"FAIRsharing record for: SpodoBase","abbreviation":"SpodoBase","url":"https://fairsharing.org/10.25504/FAIRsharing.c3kchy","doi":"10.25504/FAIRsharing.c3kchy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SpodoBase is an integrated database for the genomics of the Lepidoptera Spodoptera frugiperda. It is a publicly available structured database with insect pest sequences which will allow identification of a number of genes and comprehensive cloning of gene families of interest for the scientific community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Spodoptera frugiperda"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":407,"pubmed_id":16796757,"title":"SPODOBASE: an EST database for the lepidopteran crop pest Spodoptera.","year":2006,"url":"http://doi.org/10.1186/1471-2105-7-322","authors":"Nègre V., Hôtelier T., Volkoff AN., Gimenez S., Cousserans F., Mita K., Sabau X., Rocher J., López-Ferber M., d'Alençon E., Audant P., Sabourault C., Bidegainberry V., Hilliou F., Fournier P.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-322","created_at":"2021-09-30T08:23:04.217Z","updated_at":"2021-09-30T08:23:04.217Z"}],"licence_links":[],"grants":[{"id":1179,"fairsharing_record_id":1911,"organisation_id":2008,"relation":"maintains","created_at":"2021-09-30T09:24:58.750Z","updated_at":"2021-09-30T09:24:58.750Z","grant_id":null,"is_lead":false,"saved_state":{"id":2008,"name":"National Institute of Agrobiological Sciences (NIAS), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1177,"fairsharing_record_id":1911,"organisation_id":3101,"relation":"funds","created_at":"2021-09-30T09:24:58.678Z","updated_at":"2021-09-30T09:24:58.678Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1178,"fairsharing_record_id":1911,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:24:58.717Z","updated_at":"2021-09-30T09:24:58.717Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1912","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-25T17:07:28.102Z","metadata":{"doi":"10.25504/FAIRsharing.pmg2vd","name":"GenAtlas","status":"ready","contacts":[{"contact_name":"Alexandra Caude","contact_email":"alexandra.caude@inserm.fr"}],"homepage":"http://genatlas.medecine.univ-paris5.fr/","citations":[{"doi":"10.1016/s0764-4469(99)80021-3","pubmed_id":9835018,"publication_id":413}],"identifier":1912,"description":"GenAtlas is a database containing information on human genes, markers and phenotypes. It provides information on the structure, expression and function of genes, gene mutations and their consequences on diseases. Ontologies used for annotation are constructed to allow a classification in three sub-databases: gene, phenotypes and selected references.","abbreviation":null,"data_curation":{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=1","type":"manual"},"support_links":[{"url":"http://genatlas.medecine.univ-paris5.fr/Help.html","name":"Help","type":"Help documentation"},{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=1","name":"About","type":"Help documentation"},{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=2","name":"Getting Started","type":"Help documentation"}],"year_creation":1986,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=5","type":"not applicable","notes":"Curators manually add new data; if you are interested in deposition, then please contact them."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000377","bsg-d000377"],"name":"FAIRsharing record for: GenAtlas","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pmg2vd","doi":"10.25504/FAIRsharing.pmg2vd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenAtlas is a database containing information on human genes, markers and phenotypes. It provides information on the structure, expression and function of genes, gene mutations and their consequences on diseases. Ontologies used for annotation are constructed to allow a classification in three sub-databases: gene, phenotypes and selected references.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Phenotype","Disorder","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":413,"pubmed_id":9835018,"title":"Genatlas database, genes and development defects","year":1998,"url":"http://doi.org/10.1016/s0764-4469(99)80021-3","authors":"Frézal J.,","journal":"C. R. Acad. Sci. III, Sci. Vie","doi":"10.1016/s0764-4469(99)80021-3","created_at":"2021-09-30T08:23:04.866Z","updated_at":"2021-09-30T08:23:04.866Z"},{"id":1510,"pubmed_id":10444337,"title":"Human genes involved in chromatin remodeling in transcription initiation, and associated diseases: An overview using the GENAtlas database","year":1999,"url":"http://doi.org/10.1006/mgme.1999.2867","authors":"Roux-Rouquie M., Chauvet ML., Munnich A., Frezal J.,","journal":"Mol. Genet. Metab.","doi":"10.1006/mgme.1999.2867","created_at":"2021-09-30T08:25:09.044Z","updated_at":"2021-09-30T08:25:09.044Z"}],"licence_links":[],"grants":[{"id":10667,"fairsharing_record_id":1912,"organisation_id":4022,"relation":"maintains","created_at":"2023-06-14T10:52:00.456Z","updated_at":"2023-06-14T10:52:00.456Z","grant_id":null,"is_lead":true,"saved_state":{"id":4022,"name":"Imagine Institute for Genetic Diseases","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1181,"fairsharing_record_id":1912,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:24:58.834Z","updated_at":"2021-09-30T09:24:58.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbm9FIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1dde8e41920f3121c98bbf7e0b18a55b8ebe113e/Screenshot%20from%202024-06-25%2008-40-47.png?disposition=inline","exhaustive_licences":false}},{"id":"1913","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:18.561Z","metadata":{"doi":"10.25504/FAIRsharing.vk3v6s","name":"GermOnline","status":"ready","contacts":[{"contact_name":"Michael Primig","contact_email":"michael.primig@inserm.fr"}],"homepage":"http://www.germonline.org/index.html","identifier":1913,"description":"GermOnline is a cross-species database gateway focusing on high-throughput expression data relevant for germline development, the meiotic cell cycle and mitosis in healthy versus malignant cells. The portal provides access to the Saccharomyces Genomics Viewer (SGV) which facilitates online interpretation of complex data from experiments with high-density oligonucleotide tiling microarrays that cover the entire yeast genome.","abbreviation":"GermOnline","data_curation":{"type":"not found"},"support_links":[{"url":"http://wiki.germonline.org/doku.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.germonline.org/gol_4_userguide.pdf","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010248","name":"re3data:r3d100010248","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002807","name":"SciCrunch:RRID:SCR_002807","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000378","bsg-d000378"],"name":"FAIRsharing record for: GermOnline","abbreviation":"GermOnline","url":"https://fairsharing.org/10.25504/FAIRsharing.vk3v6s","doi":"10.25504/FAIRsharing.vk3v6s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GermOnline is a cross-species database gateway focusing on high-throughput expression data relevant for germline development, the meiotic cell cycle and mitosis in healthy versus malignant cells. The portal provides access to the Saccharomyces Genomics Viewer (SGV) which facilitates online interpretation of complex data from experiments with high-density oligonucleotide tiling microarrays that cover the entire yeast genome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Meiosis I","Meiosis II","Gene"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Macaca mulatta","Mus musculus","Pan troglodytes","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":417,"pubmed_id":21149299,"title":"GermOnline 4.0 is a genomics gateway for germline development, meiosis and the mitotic cell cycle.","year":2010,"url":"http://doi.org/10.1093/database/baq030","authors":"Lardenois A., Gattiker A., Collin O., Chalmel F., Primig M.,","journal":"Database (Oxford)","doi":"10.1093/database/baq030","created_at":"2021-09-30T08:23:05.308Z","updated_at":"2021-09-30T08:23:05.308Z"}],"licence_links":[],"grants":[{"id":1182,"fairsharing_record_id":1913,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:24:58.866Z","updated_at":"2021-09-30T09:24:58.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1924","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-16T18:58:58.327Z","metadata":{"doi":"10.25504/FAIRsharing.40j2vd","name":"Bacillus subtilis strain 168 genome","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"moszer@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/SubtiList/","citations":[],"identifier":1924,"description":"Its purpose is to collate and integrate various aspects of the genomic information from B. subtilis, the paradigm of sporulating Gram-positive bacteria. SubtiList provides a complete dataset of DNA and protein sequences derived from the paradigm strain B. subtilis 168, linked to the relevant annotations and functional assignments","abbreviation":"SubtiList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/SubtiList/help/general.html","type":"Help documentation"}],"year_creation":1996,"data_versioning":"not found","associated_tools":[{"url":"http://genolist.pasteur.fr/SubtiList/help/blast-search.html","name":"BLAST"}],"deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000389","bsg-d000389"],"name":"FAIRsharing record for: Bacillus subtilis strain 168 genome","abbreviation":"SubtiList","url":"https://fairsharing.org/10.25504/FAIRsharing.40j2vd","doi":"10.25504/FAIRsharing.40j2vd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Its purpose is to collate and integrate various aspects of the genomic information from B. subtilis, the paradigm of sporulating Gram-positive bacteria. SubtiList provides a complete dataset of DNA and protein sequences derived from the paradigm strain B. subtilis 168, linked to the relevant annotations and functional assignments","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Bacillus subtilis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1207,"fairsharing_record_id":1924,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:59.679Z","updated_at":"2021-09-30T09:24:59.679Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1208,"fairsharing_record_id":1924,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.708Z","updated_at":"2021-09-30T09:24:59.708Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1209,"fairsharing_record_id":1924,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.733Z","updated_at":"2021-09-30T09:24:59.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1925","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:17:01.320Z","metadata":{"doi":"10.25504/FAIRsharing.rxe7z2","name":"PDZBase","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"pdzbase@med.cornell.edu"}],"homepage":"http://abc.med.cornell.edu/pdzbase","identifier":1925,"description":"PDZBase is a manually curated protein-protein interaction database developed specifically for interactions involving PDZ domains. PDZBase currently contains 339 experimentally determined protein protein interactions.","abbreviation":"PDZBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://icb.med.cornell.edu/crt/PDZBase/index.xml","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000390","bsg-d000390"],"name":"FAIRsharing record for: PDZBase","abbreviation":"PDZBase","url":"https://fairsharing.org/10.25504/FAIRsharing.rxe7z2","doi":"10.25504/FAIRsharing.rxe7z2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDZBase is a manually curated protein-protein interaction database developed specifically for interactions involving PDZ domains. PDZBase currently contains 339 experimentally determined protein protein interactions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12652}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Protein domain","Protein interaction","Ligand","Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2122,"pubmed_id":15513994,"title":"PDZBase: a protein-protein interaction database for PDZ-domains.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bti098","authors":"Beuming T., Skrabanek L., Niv MY., Mukherjee P., Weinstein H.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti098","created_at":"2021-09-30T08:26:19.233Z","updated_at":"2021-09-30T08:26:19.233Z"}],"licence_links":[],"grants":[{"id":1210,"fairsharing_record_id":1925,"organisation_id":580,"relation":"maintains","created_at":"2021-09-30T09:24:59.757Z","updated_at":"2021-09-30T09:24:59.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":580,"name":"Computational Biology Ph.D. Program, Cornell University, Ithaca, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1211,"fairsharing_record_id":1925,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:59.782Z","updated_at":"2021-09-30T09:28:55.518Z","grant_id":18,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P01 DA12923","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8099,"fairsharing_record_id":1925,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:57.079Z","updated_at":"2021-09-30T09:30:57.133Z","grant_id":949,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"K05 DA00060","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8436,"fairsharing_record_id":1925,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:38.769Z","updated_at":"2021-09-30T09:32:38.817Z","grant_id":1715,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P01 DA124080","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1926","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:42:38.279Z","metadata":{"doi":"10.25504/FAIRsharing.fh5zm7","name":"Signaling Pathway Information System","status":"deprecated","contacts":[{"contact_email":"fac2003@med.cornell.edu"}],"homepage":"http://icb.med.cornell.edu/crt/SigPath/index.xml","identifier":1926,"description":"SigPath is an information system designed to support quantitative studies on the signaling pathways and networks of the cell.A primary emphasis of SigPath is that biochemical information is stored with the details required to make possible quantitative modeling of specific aspects of the cellular machinery. A second emphasis of the system is that SigPath provides user-friendly ways to submit information.","abbreviation":"SigPath","data_curation":{"type":"not found"},"support_links":[{"url":"http://icb.med.cornell.edu/crt/SigPath/index.xml","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2015-07-28","deprecation_reason":"This resource is no longer maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000391","bsg-d000391"],"name":"FAIRsharing record for: Signaling Pathway Information System","abbreviation":"SigPath","url":"https://fairsharing.org/10.25504/FAIRsharing.fh5zm7","doi":"10.25504/FAIRsharing.fh5zm7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SigPath is an information system designed to support quantitative studies on the signaling pathways and networks of the cell.A primary emphasis of SigPath is that biochemical information is stored with the details required to make possible quantitative modeling of specific aspects of the cellular machinery. A second emphasis of the system is that SigPath provides user-friendly ways to submit information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Network model","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1254,"relation":"undefined"}],"grants":[{"id":1212,"fairsharing_record_id":1926,"organisation_id":580,"relation":"maintains","created_at":"2021-09-30T09:24:59.807Z","updated_at":"2021-09-30T09:24:59.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":580,"name":"Computational Biology Ph.D. Program, Cornell University, Ithaca, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1932","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:11:00.156Z","metadata":{"doi":"10.25504/FAIRsharing.v8se8r","name":"MycoBank","status":"ready","contacts":[{"contact_name":"Vincent Robert","contact_email":"v.robert@wi.knaw.nl"}],"homepage":"http://www.mycobank.org","citations":[],"identifier":1932,"description":"MycoBank was created for the mycological community (as well as scientific community more generally) to document new mycological names, combinations and associated data (such as descriptions and illustrations). Pairwise sequence alignments and polyphasic identifications of fungi and yeasts against curated references databases are available. Nomenclatural experts will be available to check the validity, legitimacy and linguistic correctness of the proposed names in order to avoid nomenclatural error. Deposited names can remain confidential until after publication as required. Once public, the names are accessible through MycoBank, Index Fungorum, GBIF and other international biodiversity initiatives, where they will further be linked to other databases. MycoBank will (when applicable) provide onward links to other databases containing, for example, living cultures, DNA data, reference specimens and pleomorphic names linked to the same holomorph. Authors intending to publish nomenclatural novelties are encouraged to contribute.","abbreviation":"MycoBank","data_curation":{"url":"https://www.mycobank.org/FAQ_and_help","type":"manual"},"support_links":[{"url":"https://www.mycobank.org/news","name":"News","type":"Blog/News"},{"url":"https://www.mycobank.org/page/Contact","name":"Contact Mycobank","type":"Contact form"},{"url":"https://www.mycobank.org/page/FAQ_and_help","name":"FAQ and Help","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.mycobank.org/forum","name":"Forum","type":"Forum"},{"url":"https://www.mycobank.org/page/Stats%20page","name":"Statistics","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011222","name":"re3data:r3d100011222","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004950","name":"SciCrunch:RRID:SCR_004950","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.mycobank.org/page/Registration%20home","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000397","bsg-d000397"],"name":"FAIRsharing record for: MycoBank","abbreviation":"MycoBank","url":"https://fairsharing.org/10.25504/FAIRsharing.v8se8r","doi":"10.25504/FAIRsharing.v8se8r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MycoBank was created for the mycological community (as well as scientific community more generally) to document new mycological names, combinations and associated data (such as descriptions and illustrations). Pairwise sequence alignments and polyphasic identifications of fungi and yeasts against curated references databases are available. Nomenclatural experts will be available to check the validity, legitimacy and linguistic correctness of the proposed names in order to avoid nomenclatural error. Deposited names can remain confidential until after publication as required. Once public, the names are accessible through MycoBank, Index Fungorum, GBIF and other international biodiversity initiatives, where they will further be linked to other databases. MycoBank will (when applicable) provide onward links to other databases containing, for example, living cultures, DNA data, reference specimens and pleomorphic names linked to the same holomorph. Authors intending to publish nomenclatural novelties are encouraged to contribute.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13564}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Biology"],"domains":["Taxonomic classification","Nucleotide","Sequence alignment","Classification"],"taxonomies":["Fungi"],"user_defined_tags":["Mycology"],"countries":["Netherlands"],"publications":[{"id":1631,"pubmed_id":24563843,"title":"MycoBank gearing up for new horizons.","year":2014,"url":"http://doi.org/10.5598/imafungus.2013.04.02.16","authors":"Robert V,Vu D,Amor AB,van de Wiele N, et al.","journal":"IMA Fungus","doi":"10.5598/imafungus.2013.04.02.16","created_at":"2021-09-30T08:25:22.753Z","updated_at":"2021-09-30T08:25:22.753Z"},{"id":2860,"pubmed_id":null,"title":"MycoBank: an online initiative to launch mycology into the 21st century","year":2004,"url":"https://studiesinmycology.org/sim/Sim50/003-MycoBank_an_online_initiative_to_launch_mycology_into_the_21st_century.pdf","authors":"Crous PW, Gams W, Stalpers JA, Robert V and Stegehuis G","journal":"Studies in Mycology","doi":null,"created_at":"2021-09-30T08:27:51.848Z","updated_at":"2021-09-30T08:27:51.848Z"}],"licence_links":[],"grants":[{"id":1226,"fairsharing_record_id":1932,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:00.167Z","updated_at":"2021-09-30T09:25:00.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1225,"fairsharing_record_id":1932,"organisation_id":1502,"relation":"maintains","created_at":"2021-09-30T09:25:00.141Z","updated_at":"2021-09-30T09:25:00.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1502,"name":"International Mycological Association (IMA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1223,"fairsharing_record_id":1932,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:00.091Z","updated_at":"2021-09-30T09:25:00.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8684,"fairsharing_record_id":1932,"organisation_id":3280,"relation":"associated_with","created_at":"2022-01-06T14:34:44.150Z","updated_at":"2022-01-06T14:34:44.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":3280,"name":"MIRRI Microbial Resource Research Infrastructure","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1222,"fairsharing_record_id":1932,"organisation_id":797,"relation":"funds","created_at":"2021-09-30T09:25:00.067Z","updated_at":"2021-09-30T09:25:00.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":797,"name":"Dutch Ministry of Education Culture and Science (OCW), the Netherlands","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1224,"fairsharing_record_id":1932,"organisation_id":1994,"relation":"funds","created_at":"2021-09-30T09:25:00.117Z","updated_at":"2021-09-30T09:25:00.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":1994,"name":"National Health and Medical Research Council (NHMRC), Australia","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1927","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:57:45.094Z","metadata":{"doi":"10.25504/FAIRsharing.dvyrsz","name":"PeptideAtlas","status":"ready","contacts":[{"contact_name":"Eric W. Deutsch","contact_email":"edeutsch@systemsbiology.org","contact_orcid":"0000-0001-8732-0928"}],"homepage":"http://www.peptideatlas.org","identifier":1927,"description":"The PeptideAtlas Project provides a publicly-accessible database of peptides identified in tandem mass spectrometry proteomics studies and software tools. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and sequence and spectral library searches are applied. Analyses are performed to produce a probability of correct identification for all results in a uniform manner, together with false discovery rates at the whole-atlas level.","abbreviation":"PeptideAtlas","data_curation":{"type":"manual","notes":"submission metadata form at user interface"},"support_links":[{"url":"http://www.peptideatlas.org/feedback.php","name":"Contact Form","type":"Contact form"},{"url":"http://www.peptideatlas.org/public/faq.php","name":"Peptide Atlas FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010889","name":"re3data:r3d100010889","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006783","name":"SciCrunch:RRID:SCR_006783","portal":"SciCrunch"}],"data_access_condition":{"url":"https://peptideatlas.org/faq.php","type":"open","notes":"PeptideAtlas allows minimum public access (private) via user erquest"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://db.systemsbiology.net/sbeams/cgi/PeptideAtlas/PASS_Submit","type":"controlled","notes":"requires registration; allows only data type-specific deposits for SRM experimental results from analysis of biological samples."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000392","bsg-d000392"],"name":"FAIRsharing record for: PeptideAtlas","abbreviation":"PeptideAtlas","url":"https://fairsharing.org/10.25504/FAIRsharing.dvyrsz","doi":"10.25504/FAIRsharing.dvyrsz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PeptideAtlas Project provides a publicly-accessible database of peptides identified in tandem mass spectrometry proteomics studies and software tools. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and sequence and spectral library searches are applied. Analyses are performed to produce a probability of correct identification for all results in a uniform manner, together with false discovery rates at the whole-atlas level.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10768},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10944},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11061},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15064}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Molecular structure","Mass spectrum","Annotation","Structure","Protein"],"taxonomies":["Apis","Bos taurus","Caenorhabditis elegans","Candida","Danio rerio","Drosophila","Equus caballus","Halobacteria","Homo sapiens","Leptospira interrogans","Mus musculus","Rattus rattus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Streptococcus","Sus scrofa"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":419,"pubmed_id":18451766,"title":"PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows.","year":2008,"url":"http://doi.org/10.1038/embor.2008.56","authors":"Deutsch EW, Lam H, Aebersold R.","journal":"EMBO Rep.","doi":"10.1038/embor.2008.56.","created_at":"2021-09-30T08:23:05.559Z","updated_at":"2021-09-30T08:23:05.559Z"},{"id":740,"pubmed_id":16381952,"title":"The PeptideAtlas project","year":2005,"url":"http://doi.org/10.1093/nar/gkj040","authors":"Desiere F, Deutsch EW, King NL, Nesvizhskii AI, Mallick P, Eng J, Chen S, Eddes J, Loevenich SN, Aebersold R.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj040","created_at":"2021-09-30T08:23:41.503Z","updated_at":"2021-09-30T08:23:41.503Z"}],"licence_links":[{"licence_name":"Peptide Atlas Availability Statement","licence_id":655,"licence_url":"http://www.peptideatlas.org/public/faq.php","link_id":2375,"relation":"undefined"}],"grants":[{"id":1213,"fairsharing_record_id":1927,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:24:59.840Z","updated_at":"2021-09-30T09:24:59.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1214,"fairsharing_record_id":1927,"organisation_id":2537,"relation":"maintains","created_at":"2021-09-30T09:24:59.866Z","updated_at":"2021-09-30T09:24:59.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":2537,"name":"Seattle Proteome Center","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1215,"fairsharing_record_id":1927,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:24:59.890Z","updated_at":"2021-09-30T09:31:13.234Z","grant_id":1070,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01-HV-28179","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1945","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:34:54.010Z","metadata":{"doi":"10.25504/FAIRsharing.j0t0pe","name":"The Human Protein Atlas","status":"ready","contacts":[{"contact_name":"Mathias Uhlen","contact_email":"mathias.uhlen@scilifelab.se","contact_orcid":"0000-0002-4858-8056"}],"homepage":"https://www.proteinatlas.org/","citations":[{"doi":"10.1126/science.1260419","pubmed_id":25613900,"publication_id":780}],"identifier":1945,"description":"The Human Protein Atlas (HPA) portal is a publicly available database with millions of high-resolution images showing the spatial distribution of proteins in a number of different wild-type tissues, single cell types, cancer types and human cell lines. The goal of the HPA is to map all the human proteins in cells, tissues and organs using an integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics and systems biology. The HPA portal is composed of twelve parts: the Tissue section, the Brain section, the Single Cell Type section, the Tissue cell type section, the Pathology section, the Disease section, the Immune cell section, the Blood protein section, the Subcellular section, the Cell line section, the Structure section, and the Interaction section.","abbreviation":"HPA","data_curation":{"url":"https://www.proteinatlas.org/about/releases","type":"manual/automated","notes":"Protein Atlas Release History"},"support_links":[{"url":"https://www.proteinatlas.org/news","name":"News","type":"Blog/News"},{"url":"https://www.proteinatlas.org/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ProteinAtlas","name":"@ProteinAtlas","type":"Twitter"},{"url":"contact@proteinatlas.org","name":"Help Contact","type":"Support email"},{"url":"https://www.proteinatlas.org/about/help#FAQ","name":"Questions \u0026 FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.proteinatlas.org/learn/videos","name":"Learning Videos","type":"Video"}],"year_creation":2003,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010931","name":"re3data:r3d100010931","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006710","name":"SciCrunch:RRID:SCR_006710","portal":"SciCrunch"}],"data_access_condition":{"url":"https://v13.proteinatlas.org/about/datausage","type":"open","notes":"Data Usage Policy"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.proteinatlas.org/about/submission","type":"open","notes":"The Human Protein Atlas project invites submission of antibodies from both academic and commercial sources"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000411","bsg-d000411"],"name":"FAIRsharing record for: The Human Protein Atlas","abbreviation":"HPA","url":"https://fairsharing.org/10.25504/FAIRsharing.j0t0pe","doi":"10.25504/FAIRsharing.j0t0pe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Protein Atlas (HPA) portal is a publicly available database with millions of high-resolution images showing the spatial distribution of proteins in a number of different wild-type tissues, single cell types, cancer types and human cell lines. The goal of the HPA is to map all the human proteins in cells, tissues and organs using an integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics and systems biology. The HPA portal is composed of twelve parts: the Tissue section, the Brain section, the Single Cell Type section, the Tissue cell type section, the Pathology section, the Disease section, the Immune cell section, the Blood protein section, the Subcellular section, the Cell line section, the Structure section, and the Interaction section.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18221},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11220},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11350},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11528},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11844},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12655},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15065}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Transcriptomics","Biomedical Science","Systems Biology"],"domains":["Molecular structure","Bioimaging","Medical imaging","Cell line","Cancer","Protein localization","Gene expression","Antibody","Cellular localization","Protein expression","Mass spectrometry assay","Structure","Protein","Blood","Tissue","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Sweden"],"publications":[{"id":16,"pubmed_id":18669619,"title":"A genecentric Human Protein Atlas for expression profiles based on antibodies.","year":2008,"url":"http://doi.org/10.1074/mcp.R800013-MCP200","authors":"Berglund L., Björling E., Oksvold P., Fagerberg L., Asplund A., Szigyarto CA., Persson A., Ottosson J., Wernérus H., Nilsson P., Lundberg E., Sivertsson A., Navani S., Wester K., Kampf C., Hober S., Pontén F., Uhlén M.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.R800013-MCP200","created_at":"2021-09-30T08:22:22.179Z","updated_at":"2021-09-30T08:22:22.179Z"},{"id":637,"pubmed_id":18853439,"title":"The Human Protein Atlas--a tool for pathology.","year":2008,"url":"http://doi.org/10.1002/path.2440","authors":"Ponten F,Jirstrom K,Uhlen M","journal":"J Pathol","doi":"10.1002/path.2440","created_at":"2021-09-30T08:23:30.129Z","updated_at":"2021-09-30T08:23:30.129Z"},{"id":654,"pubmed_id":27044256,"title":"Transcriptomics resources of human tissues and organs.","year":2016,"url":"http://doi.org/10.15252/msb.20155865","authors":"Uhlen M,Hallstrom BM,Lindskog C,Mardinoglu A,Ponten F,Nielsen J","journal":"Mol Syst Biol","doi":"10.15252/msb.20155865","created_at":"2021-09-30T08:23:32.186Z","updated_at":"2021-09-30T08:23:32.186Z"},{"id":780,"pubmed_id":25613900,"title":"Tissue-based map of the human proteome.","year":2015,"url":"http://doi.org/10.1126/science.1260419","authors":"Uhlen M,Fagerberg L,Hallstrom BM et al.","journal":"Science","doi":"10.1126/science.1260419","created_at":"2021-09-30T08:23:45.944Z","updated_at":"2021-09-30T08:23:45.944Z"},{"id":825,"pubmed_id":28818916,"title":"A pathology atlas of the human cancer transcriptome","year":2017,"url":"http://doi.org/eaan2507","authors":"Mathias Uhlen, Cheng Zhang, Sunjae Lee et al.","journal":"Science","doi":"10.1126/science.aan2507","created_at":"2021-09-30T08:23:50.946Z","updated_at":"2021-09-30T08:23:50.946Z"},{"id":1982,"pubmed_id":21139605,"title":"Towards a knowledge-based Human Protein Atlas.","year":2010,"url":"http://doi.org/10.1038/nbt1210-1248","authors":"Uhlen M,Oksvold P,Fagerberg L,Lundberg E,Jonasson K,Forsberg M,Zwahlen M,Kampf C,Wester K,Hober S,Wernerus H,Bjorling L,Ponten F","journal":"Nat Biotechnol","doi":"10.1038/nbt1210-1248","created_at":"2021-09-30T08:26:03.057Z","updated_at":"2021-09-30T08:26:03.057Z"},{"id":2076,"pubmed_id":16127175,"title":"A human protein atlas for normal and cancer tissues based on antibody proteomics.","year":2005,"url":"http://doi.org/10.1074/mcp.M500279-MCP200","authors":"Uhlen M,Bjorling E,Agaton C et al.","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.M500279-MCP200","created_at":"2021-09-30T08:26:14.057Z","updated_at":"2021-09-30T08:26:14.057Z"},{"id":2470,"pubmed_id":28495876,"title":"A subcellular map of the human proteome.","year":2017,"url":"http://doi.org/eaal3321","authors":"Thul PJ,Akesson L,Wiking M et al.","journal":"Science","doi":"eaal3321","created_at":"2021-09-30T08:27:02.902Z","updated_at":"2021-09-30T08:27:02.902Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":918,"relation":"undefined"},{"licence_name":"HPA Licence and Citation","licence_id":402,"licence_url":"https://www.proteinatlas.org/about/licence","link_id":929,"relation":"undefined"}],"grants":[{"id":1262,"fairsharing_record_id":1945,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:25:01.234Z","updated_at":"2021-09-30T09:25:01.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1261,"fairsharing_record_id":1945,"organisation_id":2795,"relation":"funds","created_at":"2021-09-30T09:25:01.204Z","updated_at":"2021-09-30T09:25:01.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":2795,"name":"The Knut and Alice Wallenberg Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1263,"fairsharing_record_id":1945,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:25:01.258Z","updated_at":"2021-09-30T09:25:01.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1264,"fairsharing_record_id":1945,"organisation_id":1651,"relation":"maintains","created_at":"2021-09-30T09:25:01.289Z","updated_at":"2021-09-30T09:25:01.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":1651,"name":"KTH Royal Institute of Technology, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdWdDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--102e396bff776211a35c9c5edb423a80c1237953/hpa_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1946","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:58.123Z","metadata":{"doi":"10.25504/FAIRsharing.wkaakq","name":"Protein Model Database","status":"ready","contacts":[{"contact_name":"Anna Tramontano","contact_email":"anna.tramontano@uniroma1.it"}],"homepage":"http://srv00.recas.ba.infn.it/PMDB/main.php","citations":[{"doi":"10.1093/nar/gkj105","pubmed_id":16381873,"publication_id":439}],"identifier":1946,"description":"The Protein Model DataBase (PMDB) is a database that stores three dimensional protein models obtained by structure prediction techniques.","abbreviation":"PMDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://srv00.recas.ba.infn.it/PMDB/my_news.php","name":"News","type":"Blog/News"},{"url":"hpc-service-bio@cineca.it","name":"hpc-service-bio@cineca.it","type":"Support email"},{"url":"info@biocomputing.it","name":"info@biocomputing.it","type":"Support email"},{"url":"http://srv00.recas.ba.infn.it/PMDB/help.php","name":"Help Page","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","data_access_condition":{"url":"http://srv00.recas.ba.infn.it/PMDB/help.php","type":"open","notes":"Access to the repository is free."},"data_contact_information":"not found","data_deposition_condition":{"url":"http://srv00.recas.ba.infn.it/PMDB/help.php","type":"open","notes":"Free registration is only required to deposit models."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000412","bsg-d000412"],"name":"FAIRsharing record for: Protein Model Database","abbreviation":"PMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.wkaakq","doi":"10.25504/FAIRsharing.wkaakq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Model DataBase (PMDB) is a database that stores three dimensional protein models obtained by structure prediction techniques.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12656}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","Protein structure","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":439,"pubmed_id":16381873,"title":"The PMDB Protein Model Database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj105","authors":"Castrignanò T., De Meo PD., Cozzetto D., Talamo IG., Tramontano A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj105","created_at":"2021-09-30T08:23:07.684Z","updated_at":"2021-09-30T08:23:07.684Z"}],"licence_links":[{"licence_name":"PMDB Attribution required","licence_id":673,"licence_url":"http://srv00.recas.ba.infn.it/PMDB/help.php","link_id":1311,"relation":"undefined"}],"grants":[{"id":1265,"fairsharing_record_id":1946,"organisation_id":2492,"relation":"funds","created_at":"2021-09-30T09:25:01.331Z","updated_at":"2021-09-30T09:25:01.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":2492,"name":"Sapienza University of Rome, Rome, Italy","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1266,"fairsharing_record_id":1946,"organisation_id":522,"relation":"maintains","created_at":"2021-09-30T09:25:01.372Z","updated_at":"2021-09-30T09:25:01.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":522,"name":"CINECA, Bologna, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1267,"fairsharing_record_id":1946,"organisation_id":274,"relation":"funds","created_at":"2021-09-30T09:25:01.410Z","updated_at":"2021-09-30T09:31:28.258Z","grant_id":1183,"is_lead":false,"saved_state":{"id":274,"name":"BioSapiens Network of Excellence, Europe","grant":"LHSG-CT-203-503265","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1947","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:44:49.838Z","metadata":{"doi":"10.25504/FAIRsharing.bpxgb6","name":"Greengenes","status":"deprecated","contacts":[{"contact_name":"Gary L Andersen","contact_email":"GLAndersen@lbl.gov","contact_orcid":"0000-0002-1618-9827"}],"homepage":"http://greengenes.lbl.gov","citations":[],"identifier":1947,"description":"A 16S rRNA gene database which provides chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. Please note that this is a downloadable resource only, without an interactive web interface.","abbreviation":"Greengenes","data_curation":{"url":"https://greengenes.lbl.gov/Download/FAQS/index.htm#quickly","type":"automated"},"support_links":[{"url":"http://greengenes.lbl.gov/Download/Tutorial/FAQ.htm","type":"Frequently Asked Questions (FAQs)"},{"url":"https://greengenes.lbl.gov/Download/Tutorial/Tutorial_19Dec05.pdf","name":"Tutorial","type":"Training documentation"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010549","name":"re3data:r3d100010549","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002830","name":"SciCrunch:RRID:SCR_002830","portal":"SciCrunch"}],"deprecation_date":"2024-05-09","deprecation_reason":"This record can no longer be considered a database, but the files remain available for download. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000413","bsg-d000413"],"name":"FAIRsharing record for: Greengenes","abbreviation":"Greengenes","url":"https://fairsharing.org/10.25504/FAIRsharing.bpxgb6","doi":"10.25504/FAIRsharing.bpxgb6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A 16S rRNA gene database which provides chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. Please note that this is a downloadable resource only, without an interactive web interface.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Ribonucleic acid","Recombinant DNA","Sequence alignment","16S rRNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":442,"pubmed_id":16820507,"title":"Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.","year":2006,"url":"http://doi.org/10.1128/AEM.03006-05","authors":"DeSantis TZ., Hugenholtz P., Larsen N., Rojas M., Brodie EL., Keller K., Huber T., Dalevi D., Hu P., Andersen GL.,","journal":"Appl. Environ. Microbiol.","doi":"10.1128/AEM.03006-05","created_at":"2021-09-30T08:23:07.983Z","updated_at":"2021-09-30T08:23:07.983Z"}],"licence_links":[],"grants":[{"id":1269,"fairsharing_record_id":1947,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:25:01.487Z","updated_at":"2021-09-30T09:25:01.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9395,"fairsharing_record_id":1947,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.528Z","updated_at":"2022-04-11T12:07:35.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1933","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:31:40.695Z","metadata":{"doi":"10.25504/FAIRsharing.f1dv0","name":"IUPHAR/BPS Guide to PHARMACOLOGY","status":"ready","contacts":[{"contact_name":"Jamie Davies","contact_email":"jamie.davies@ed.ac.uk"},{"contact_name":"Simon Harding","contact_email":"simon.harding@igmm.ed.ac.uk","contact_orcid":"0000-0002-9262-8318"}],"homepage":"https://www.guidetopharmacology.org","citations":[{"doi":"10.1093/nar/gkab1010","pubmed_id":34718737,"publication_id":3130}],"identifier":1933,"description":"The information in the database is presented at two levels: the initial view or landing pages for each target family provide expert-curated overviews of the key properties and selective ligands and tool compounds available. For selected targets more detailed introductory chapters for each family are available along with curated information on the pharmacological, physiological, structural, genetic and pathophysiogical properties of each target. Recent extensions to the database provide specific portals for accessing data on immunopharmacology (IUPHAR Guide to IMMUNOPHARMACOLOGY; www.guidetoimmunopharmacology.org), and on malaria pharmacology (IUPHAR/MMV Guide to MALARIA PHARMACOLOGY; www.guidetomalariapharmacology.org). The database is enhanced with hyperlinks to additional information in other databases including Ensembl, UniProt, PubChem and ChEMBL, as well as curated chemical information and literature citations in PubMed.","abbreviation":"Guide to Pharmacology","data_curation":{"url":"https://www.guidetopharmacology.org/helpPage.jsp","type":"manual","notes":"Target pages are modelled on IUPHAR-DB pages, with expert-curated information on the nomenclature, genetic, structural, pharmacological, functional, physiological, and clinical properties."},"support_links":[{"url":"https://blog.guidetopharmacology.org/","name":"guidetopharmacology blog","type":"Blog/News"},{"url":"enquiries@guidetopharmacology.org","name":"enquiries@guidetopharmacology.org","type":"Support email"},{"url":"http://www.guidetopharmacology.org/faq.jsp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.guidetopharmacology.org/pdfs/termsAndSymbols.pdf","name":"Terms and Symbols","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/nomenclature.jsp","name":"Nomenclature Guidelines","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/about.jsp","name":"About the Site","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/news.jsp","name":"Latest News","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/GuidetoPHARMACOLOGY_Tutorial.pdf","name":"Tutorial","type":"Training documentation"},{"url":"https://twitter.com/GuidetoPHARM","name":"@GuidetoPHARM","type":"Twitter"},{"url":"https://www.guidetopharmacology.org/helpPage.jsp","name":"Help Page","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013308","name":"re3data:r3d100013308","portal":"re3data"}],"data_access_condition":{"url":"https://www.guidetopharmacology.org/helpPage.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000398","bsg-d000398"],"name":"FAIRsharing record for: IUPHAR/BPS Guide to PHARMACOLOGY","abbreviation":"Guide to Pharmacology","url":"https://fairsharing.org/10.25504/FAIRsharing.f1dv0","doi":"10.25504/FAIRsharing.f1dv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The information in the database is presented at two levels: the initial view or landing pages for each target family provide expert-curated overviews of the key properties and selective ligands and tool compounds available. For selected targets more detailed introductory chapters for each family are available along with curated information on the pharmacological, physiological, structural, genetic and pathophysiogical properties of each target. Recent extensions to the database provide specific portals for accessing data on immunopharmacology (IUPHAR Guide to IMMUNOPHARMACOLOGY; www.guidetoimmunopharmacology.org), and on malaria pharmacology (IUPHAR/MMV Guide to MALARIA PHARMACOLOGY; www.guidetomalariapharmacology.org). The database is enhanced with hyperlinks to additional information in other databases including Ensembl, UniProt, PubChem and ChEMBL, as well as curated chemical information and literature citations in PubMed.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18224},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11349},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11527},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12146},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12306},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12653}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunology","Pharmacology","Life Science"],"domains":["Channel","Ligand","Malaria","Receptor","Drug interaction","Literature curation","Target"],"taxonomies":["Homo sapiens","Mus musculus","Plasmodium falciparum","Rattus"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":91,"pubmed_id":26464438,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1037","authors":"Southan C,Sharman JL,Benson HE,Faccenda E,Pawson AJ,Alexander SP,Buneman OP,Davenport AP,McGrath JC,Peters JA,Spedding M,Catterall WA,Fabbro D,Davies JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1037","created_at":"2021-09-30T08:22:30.370Z","updated_at":"2021-09-30T11:28:42.433Z"},{"id":1757,"pubmed_id":31691834,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY in 2020: extending immunopharmacology content and introducing the IUPHAR/MMV Guide to MALARIA PHARMACOLOGY.","year":2019,"url":"http://doi.org/10.1093/nar/gkz951","authors":"Armstrong JF,Faccenda E,Harding SD,Pawson AJ,Southan C,Sharman JL,Campo B,Cavanagh DR,Alexander SPH,Davenport AP,Spedding M,Davies JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz951","created_at":"2021-09-30T08:25:37.167Z","updated_at":"2021-09-30T11:29:20.035Z"},{"id":2582,"pubmed_id":24234439,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY: an expert-driven knowledgebase of drug targets and their ligands.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1143","authors":"Pawson AJ,Sharman JL,Benson HE,Faccenda E,Alexander SP,Buneman OP,Davenport AP,McGrath JC,Peters JA,Southan C,Spedding M,Yu W,Harmar AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1143","created_at":"2021-09-30T08:27:16.601Z","updated_at":"2021-09-30T11:29:39.910Z"},{"id":2853,"pubmed_id":29149325,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY in 2018: updates and expansion to encompass the new guide to IMMUNOPHARMACOLOGY.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1121","authors":"Harding SD,Sharman JL,Faccenda E,Southan C,Pawson AJ,Ireland S,Gray AJG,Bruce L,Alexander SPH,Anderton S,Bryant C,Davenport AP,Doerig C,Fabbro D,Levi-Schaffer F,Spedding M,Davies JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1121","created_at":"2021-09-30T08:27:50.963Z","updated_at":"2021-09-30T11:29:47.414Z"},{"id":3130,"pubmed_id":34718737,"title":"The IUPHAR/BPS guide to PHARMACOLOGY in 2022: curating pharmacology for COVID-19, malaria and antibacterials.","year":2021,"url":"https://doi.org/10.1093/nar/gkab1010","authors":"Harding SD, Armstrong JF, Faccenda E, Southan C, Alexander SPH, Davenport AP, Pawson AJ, Spedding M, Davies JA, NC-IUPHAR.","journal":"Nucleic acids research","doi":"10.1093/nar/gkab1010","created_at":"2021-11-12T12:36:32.635Z","updated_at":"2021-11-12T12:36:32.635Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":505,"relation":"undefined"},{"licence_name":"IUPHAR/BPS Guide to PHARMACOLOGY Attribution required","licence_id":465,"licence_url":"https://www.guidetopharmacology.org/citing.jsp","link_id":504,"relation":"undefined"}],"grants":[{"id":1229,"fairsharing_record_id":1933,"organisation_id":320,"relation":"funds","created_at":"2021-09-30T09:25:00.257Z","updated_at":"2021-09-30T09:25:00.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":320,"name":"British Pharmacological Society","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1227,"fairsharing_record_id":1933,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:00.208Z","updated_at":"2021-09-30T09:29:01.302Z","grant_id":58,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"099156/Z/12/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1228,"fairsharing_record_id":1933,"organisation_id":1532,"relation":"maintains","created_at":"2021-09-30T09:25:00.232Z","updated_at":"2021-09-30T09:25:00.232Z","grant_id":null,"is_lead":true,"saved_state":{"id":1532,"name":"International Union of Basic and Clinical Pharmacology","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1934","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:05.260Z","metadata":{"doi":"10.25504/FAIRsharing.z4agsr","name":"SoyBase","status":"ready","contacts":[{"contact_name":"Jacqueline Campbell","contact_email":"Jacqueline.Campbell@usda.gov","contact_orcid":"0000-0003-2787-3955"},{"contact_name":"Rex Nelson","contact_email":"rex.nelson@usda.gov","contact_orcid":"0000-0001-6222-3347"}],"homepage":"https://soybase.org/","citations":[],"identifier":1934,"description":"SoyBase, the USDA-ARS soybean genetic database, is a comprehensive repository for professionally curated genetics, genomics and related data resources for soybean. SoyBase contains genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. The quantitative trait loci (QTL) represent more than 18 years of QTL mapping of more than 90 unique traits. SoyBase also contains the well-annotated 'Williams 82' genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. SoyBase is the repository for controlled vocabularies for soybean growth, development and trait terms, which are also linked to the more general plant ontologies.","abbreviation":"SoyBase","data_curation":{"type":"manual/automated","notes":"SoyBase Curator (soybase@soybase.org)."},"support_links":[{"url":"http://bit.ly/SoyBase-Contact-Us","name":"https://soybase.org/include/antispam.php","type":"Contact form"},{"url":"https://soybase.org/tutorials/","name":"Help and Tutorials","type":"Help documentation"},{"url":"https://twitter.com/SoyBaseDatabase","name":"Twitter","type":"Twitter"}],"year_creation":1990,"data_versioning":"yes","associated_tools":[{"url":"https://soybase.org/tools.php","name":"Tools Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010846","name":"re3data:r3d100010846","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005096","name":"SciCrunch:RRID:SCR_005096","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.soybase.org/include/data_submission.php?menu=5","type":"open","notes":"Direct data submission is actively solicited."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000399","bsg-d000399"],"name":"FAIRsharing record for: SoyBase","abbreviation":"SoyBase","url":"https://fairsharing.org/10.25504/FAIRsharing.z4agsr","doi":"10.25504/FAIRsharing.z4agsr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SoyBase, the USDA-ARS soybean genetic database, is a comprehensive repository for professionally curated genetics, genomics and related data resources for soybean. SoyBase contains genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. The quantitative trait loci (QTL) represent more than 18 years of QTL mapping of more than 90 unique traits. SoyBase also contains the well-annotated 'Williams 82' genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. SoyBase is the repository for controlled vocabularies for soybean growth, development and trait terms, which are also linked to the more general plant ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11619}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Plant Breeding","Agriculture","Life Science","Comparative Genomics"],"domains":["Computational biological predictions","Differential gene expression analysis","Deoxyribonucleic acid","Image","Phenotype","Protein","Transposable element","Single nucleotide polymorphism","Quantitative trait loci","Genome"],"taxonomies":["Glycine max","Glycine soja"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1336,"pubmed_id":20008513,"title":"SoyBase, the USDA-ARS soybean genetics and genomics database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp798","authors":"Grant D., Nelson RT., Cannon SB., Shoemaker RC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp798","created_at":"2021-09-30T08:24:49.518Z","updated_at":"2021-09-30T08:24:49.518Z"},{"id":3898,"pubmed_id":null,"title":"SoyBase: A Comprehensive Database for Soybean Genetic and Genomic Data","year":2017,"url":"http://dx.doi.org/10.1007/978-3-319-64198-0_13","authors":"Grant, David; Nelson, Rex T.; ","journal":"The Soybean Genome","doi":"10.1007/978-3-319-64198-0_13","created_at":"2023-06-13T07:37:20.656Z","updated_at":"2023-06-13T07:37:20.656Z"}],"licence_links":[{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1567,"relation":"undefined"}],"grants":[{"id":1230,"fairsharing_record_id":1934,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:00.281Z","updated_at":"2021-09-30T09:25:00.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1231,"fairsharing_record_id":1934,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:25:00.307Z","updated_at":"2021-09-30T09:25:00.307Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBKZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1dc2d865fb87c062e4dd01f6d46e4de2a6044784/SoyBase_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1938","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:42.904Z","metadata":{"doi":"10.25504/FAIRsharing.xtq1xf","name":"TIGRFAMs","status":"ready","contacts":[{"contact_name":"Daniel H. Haft","contact_email":"haftdh@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genome/annotation_prok/tigrfams/","citations":[{"doi":"33270901","pubmed_id":33270901,"publication_id":2255}],"identifier":1938,"description":"TIGRFAMs is a collection of manually curated protein families focusing primarily on prokaryotic sequences.It consists of hidden Markov models (HMMs), multiple sequence alignments, Gene Ontology (GO) terminology, Enzyme Commission (EC) numbers, gene symbols, protein family names, descriptive text, cross-references to related models in TIGRFAMs and other databases, and pointers to literature. Originally developed at The Institute for Genomic Research (TIGR) and later at its successor, the J. Craig Venter Institute (JCVI), it is now maintained by the NCBI.","abbreviation":"TIGRFAMs","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/genome/annotation_prok/tigrfams/","type":"manual/automated"},"support_links":[{"url":"https://support.nlm.nih.gov/support/create-case/","name":"Contact Form","type":"Contact form"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/protfam/search.html","name":"Search Help","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000403","bsg-d000403"],"name":"FAIRsharing record for: TIGRFAMs","abbreviation":"TIGRFAMs","url":"https://fairsharing.org/10.25504/FAIRsharing.xtq1xf","doi":"10.25504/FAIRsharing.xtq1xf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TIGRFAMs is a collection of manually curated protein families focusing primarily on prokaryotic sequences.It consists of hidden Markov models (HMMs), multiple sequence alignments, Gene Ontology (GO) terminology, Enzyme Commission (EC) numbers, gene symbols, protein family names, descriptive text, cross-references to related models in TIGRFAMs and other databases, and pointers to literature. Originally developed at The Institute for Genomic Research (TIGR) and later at its successor, the J. Craig Venter Institute (JCVI), it is now maintained by the NCBI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Hidden Markov model","Multiple sequence alignment","Protein"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":398,"pubmed_id":23197656,"title":"TIGRFAMs and Genome Properties in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1234","authors":"Haft DH,Selengut JD,Richter RA,Harkins D,Basu MK,Beck E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1234","created_at":"2021-09-30T08:23:03.256Z","updated_at":"2021-09-30T11:28:46.317Z"},{"id":409,"pubmed_id":17151080,"title":"TIGRFAMs and Genome Properties: tools for the assignment of molecular function and biological process in prokaryotic genomes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1043","authors":"Selengut JD., Haft DH., Davidsen T., Ganapathy A., Gwinn-Giglio M., Nelson WC., Richter AR., White O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1043","created_at":"2021-09-30T08:23:04.426Z","updated_at":"2021-09-30T08:23:04.426Z"},{"id":2255,"pubmed_id":33270901,"title":"RefSeq: expanding the Prokaryotic Genome Annotation Pipeline reach with protein family model curation.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1105","authors":"Li W,O'Neill KR,Haft DH,DiCuccio M,Chetvernin V,Badretdin A,Coulouris G,Chitsaz F,Derbyshire MK,Durkin AS,Gonzales NR,Gwadz M,Lanczycki CJ,Song JS,Thanki N,Wang J,Yamashita RA,Yang M,Zheng C,Marchler-Bauer A,Thibaud-Nissen F","journal":"Nucleic Acids Research","doi":"33270901","created_at":"2021-09-30T08:26:34.213Z","updated_at":"2021-09-30T11:29:31.778Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":365,"relation":"undefined"}],"grants":[{"id":1242,"fairsharing_record_id":1938,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:00.698Z","updated_at":"2021-09-30T09:30:51.407Z","grant_id":904,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200900007C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1238,"fairsharing_record_id":1938,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:00.488Z","updated_at":"2021-09-30T09:25:00.488Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":1241,"fairsharing_record_id":1938,"organisation_id":1597,"relation":"undefined","created_at":"2021-09-30T09:25:00.656Z","updated_at":"2021-09-30T09:25:00.656Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":1240,"fairsharing_record_id":1938,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:00.615Z","updated_at":"2021-09-30T09:29:52.663Z","grant_id":447,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R01 HG004881","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1239,"fairsharing_record_id":1938,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:00.529Z","updated_at":"2021-09-30T09:30:13.929Z","grant_id":611,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0445826","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1237,"fairsharing_record_id":1938,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:25:00.457Z","updated_at":"2021-09-30T09:32:05.386Z","grant_id":1463,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-FG02-04ER63935","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8111,"fairsharing_record_id":1938,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:31:01.155Z","updated_at":"2021-09-30T09:31:01.278Z","grant_id":980,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN266200400038C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8428,"fairsharing_record_id":1938,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:32:35.801Z","updated_at":"2021-09-30T09:32:35.852Z","grant_id":1691,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01-AI30071","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1939","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T14:00:02.240Z","metadata":{"doi":"10.25504/FAIRsharing.29jzvb","name":"PSIbase","status":"deprecated","contacts":[{"contact_email":"biopark@kaist.ac.kr"}],"homepage":"http://psibase.kobic.re.kr/","citations":[],"identifier":1939,"description":"PSIbase is a molecular interaction database based on PSIMAP (PDB, SCOP) that focuses on structural interaction of proteins and their domains. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"PSIbase","data_curation":{"type":"not found"},"support_links":[{"url":"http://psibase.kobic.re.kr/index.cgi?cu","type":"Contact form"},{"url":"http://psibase.kobic.re.kr/index.cgi?h","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","associated_tools":[{"url":"http://psibase.kobic.re.kr/index.cgi?pls","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000405","bsg-d000405"],"name":"FAIRsharing record for: PSIbase","abbreviation":"PSIbase","url":"https://fairsharing.org/10.25504/FAIRsharing.29jzvb","doi":"10.25504/FAIRsharing.29jzvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PSIbase is a molecular interaction database based on PSIMAP (PDB, SCOP) that focuses on structural interaction of proteins and their domains. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Molecular structure","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":2445,"pubmed_id":15749693,"title":"PSIbase: a database of Protein Structural Interactome map (PSIMAP).","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti366","authors":"Gong S., Yoon G., Jang I., Bolser D., Dafas P., Schroeder M., Choi H., Cho Y., Han K., Lee S., Choi H., Lappe M., Holm L., Kim S., Oh D., Bhak J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti366","created_at":"2021-09-30T08:26:59.845Z","updated_at":"2021-09-30T08:26:59.845Z"}],"licence_links":[],"grants":[{"id":1243,"fairsharing_record_id":1939,"organisation_id":1645,"relation":"maintains","created_at":"2021-09-30T09:25:00.733Z","updated_at":"2021-09-30T09:25:00.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1645,"name":"Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1940","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:59:50.202Z","metadata":{"doi":"10.25504/FAIRsharing.h5f091","name":"BeetleBase","status":"deprecated","contacts":[{"contact_email":"beetlebs@ksu.edu"}],"homepage":"http://www.beetlebase.org/","identifier":1940,"description":"BeetleBase is a community resource for Tribolium genetics, genomics and developmental biology. The database is built on the Chado generic data model, and is able to store various types of data, ranging from genome sequences to mutant phenotypes.","abbreviation":"BeetleBase","data_curation":{"type":"not found"},"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://beetlebase.org/blast/blast.html","name":"BLAST"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000406","bsg-d000406"],"name":"FAIRsharing record for: BeetleBase","abbreviation":"BeetleBase","url":"https://fairsharing.org/10.25504/FAIRsharing.h5f091","doi":"10.25504/FAIRsharing.h5f091","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BeetleBase is a community resource for Tribolium genetics, genomics and developmental biology. The database is built on the Chado generic data model, and is able to store various types of data, ranging from genome sequences to mutant phenotypes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Computational Biology","Life Science"],"domains":["Nucleic acid sequence","DNA sequence data","Protein","Genome"],"taxonomies":["Tribolium castaneum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":416,"pubmed_id":19820115,"title":"BeetleBase in 2010: revisions to provide comprehensive genomic information for Tribolium castaneum.","year":2009,"url":"http://doi.org/10.1093/nar/gkp807","authors":"Kim HS., Murphy T., Xia J., Caragea D., Park Y., Beeman RW., Lorenzen MD., Butcher S., Manak JR., Brown SJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp807","created_at":"2021-09-30T08:23:05.208Z","updated_at":"2021-09-30T08:23:05.208Z"}],"licence_links":[],"grants":[{"id":1244,"fairsharing_record_id":1940,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:00.758Z","updated_at":"2021-09-30T09:31:29.211Z","grant_id":1191,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U54 HG003272","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1246,"fairsharing_record_id":1940,"organisation_id":1622,"relation":"maintains","created_at":"2021-09-30T09:25:00.815Z","updated_at":"2021-09-30T09:25:00.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1245,"fairsharing_record_id":1940,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:00.790Z","updated_at":"2021-09-30T09:30:34.764Z","grant_id":773,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"58-5430-3-338","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1247,"fairsharing_record_id":1940,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:00.841Z","updated_at":"2021-09-30T09:32:03.222Z","grant_id":1447,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P20 RR16475","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1942","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:17.529Z","metadata":{"doi":"10.25504/FAIRsharing.vdbagq","name":"ROdent Unidentified Gene-Encoded large proteins","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"rouge@kazusa.or.jp"}],"homepage":"http://www.kazusa.or.jp/rouge/","identifier":1942,"description":"The ROUGE protein database is a sister database of HUGE protein database which has accumulated the results of comprehensive sequence analysis of human long cDNAs (KIAA cDNAs). The ROUGE protein database has been created to publicize the information obtained from mouse homologues of the KIAA cDNAs (mKIAA cDNAs).","abbreviation":"ROUGE","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://www.kazusa.or.jp/rouge/fasta/fasta.html","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000408","bsg-d000408"],"name":"FAIRsharing record for: ROdent Unidentified Gene-Encoded large proteins","abbreviation":"ROUGE","url":"https://fairsharing.org/10.25504/FAIRsharing.vdbagq","doi":"10.25504/FAIRsharing.vdbagq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ROUGE protein database is a sister database of HUGE protein database which has accumulated the results of comprehensive sequence analysis of human long cDNAs (KIAA cDNAs). The ROUGE protein database has been created to publicize the information obtained from mouse homologues of the KIAA cDNAs (mKIAA cDNAs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Protein"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":403,"pubmed_id":14681467,"title":"HUGE: a database for human KIAA proteins, a 2004 update integrating HUGEppi and ROUGE.","year":2003,"url":"http://doi.org/10.1093/nar/gkh035","authors":"Kikuno R., Nagase T., Nakayama M., Koga H., Okazaki N., Nakajima D., Ohara O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh035","created_at":"2021-09-30T08:23:03.791Z","updated_at":"2021-09-30T08:23:03.791Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":668,"relation":"undefined"}],"grants":[{"id":1249,"fairsharing_record_id":1942,"organisation_id":1628,"relation":"maintains","created_at":"2021-09-30T09:25:00.891Z","updated_at":"2021-09-30T09:25:00.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":1628,"name":"Kazusa DNA Research Institute, Chiba, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1250,"fairsharing_record_id":1942,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:25:00.915Z","updated_at":"2021-09-30T09:25:00.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1935","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:46.766Z","metadata":{"doi":"10.25504/FAIRsharing.g2fjt2","name":"European Mouse Mutant Archive","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@infrafrontier.eu"}],"homepage":"https://www.infrafrontier.eu","citations":[{"doi":"10.1093/nar/gkp799","pubmed_id":19783817,"publication_id":2833}],"identifier":1935,"description":"The European Mouse Mutant Archive (EMMA) is a non-profit repository for the collection, archiving (via cryopreservation) and distribution of relevant mutant strains essential for basic biomedical research. The laboratory mouse is the most important mammalian model for studying genetic and multi-factorial diseases in man. Thus the work of EMMA will play a crucial role in exploiting the tremendous potential benefits to human health presented by the current research in mammalian genetics.","abbreviation":"EMMA","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.infrafrontier.eu/contact/","name":"INFRAFRONTIER/EMMA contact form","type":"Contact form"},{"url":"info@infrafrontier.eu","name":"General Enquiries","type":"Support email"},{"url":"https://www.infrafrontier.eu/emma/legal-questions/","name":"EMMA repository conditions and MTAs","type":"Help documentation"},{"url":"https://www.infrafrontier.eu/training-events/","name":"INFRAFRONTIER training and consulting services","type":"Training documentation"},{"url":"https://twitter.com/infrafrontierEU","name":"INFRAFRONTIER Twitter","type":"Twitter"},{"url":"https://www.infrafrontier.eu/emma/cryopreservation/#FAQs","name":"EMMA Cryopreservation FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.infrafrontier.eu/emma/strain-distribution/#FAQs","name":"EMMA Strain Distribution FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2009,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013578","name":"re3data:r3d100013578","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006136","name":"SciCrunch:RRID:SCR_006136","portal":"SciCrunch"}],"data_access_condition":{"url":"https://infrafrontier.eu/wp-content/uploads/EMMA-conditions-out_2021.pdf","type":"partially open","notes":"EMMA conditions for obtaining a strain from EMMA"},"resource_sustainability":{"url":"https://infrafrontier.eu/about-us/infrafrontier-partners/","name":"INFRAFRONTIER Partners"},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://infrafrontier.eu/wp-content/uploads/EMMA-conditions-in_2021.pdf","type":"controlled","notes":"EMMA conditions for depositing a strain at EMMA"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000400","bsg-d000400"],"name":"FAIRsharing record for: European Mouse Mutant Archive","abbreviation":"EMMA","url":"https://fairsharing.org/10.25504/FAIRsharing.g2fjt2","doi":"10.25504/FAIRsharing.g2fjt2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Mouse Mutant Archive (EMMA) is a non-profit repository for the collection, archiving (via cryopreservation) and distribution of relevant mutant strains essential for basic biomedical research. The laboratory mouse is the most important mammalian model for studying genetic and multi-factorial diseases in man. Thus the work of EMMA will play a crucial role in exploiting the tremendous potential benefits to human health presented by the current research in mammalian genetics.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12307},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12654},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13796},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14186}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Virology","Computational Biology","Life Science"],"domains":["Protein structure","Nucleic acid sequence","Model organism","Somatic mutation","Mutation analysis","Mutation","Gene knockout","Rare disease","Phenotype","Disease phenotype","CRISPR","Point mutation","Genetic disorder"],"taxonomies":["Mus musculus","Rattus norvegicus"],"user_defined_tags":["COVID-19","Mutants"],"countries":["European Union"],"publications":[{"id":2617,"pubmed_id":17709347,"title":"EMMA--the European mouse mutant archive.","year":2007,"url":"http://doi.org/10.1093/bfgp/elm018","authors":"Hagn M,Marschall S,Hrabe de Angelis M","journal":"Brief Funct Genomic Proteomic","doi":"10.1093/bfgp/elm018","created_at":"2021-09-30T08:27:21.255Z","updated_at":"2021-09-30T08:27:21.255Z"},{"id":2833,"pubmed_id":19783817,"title":"EMMA--mouse mutant resources for the international scientific community.","year":2009,"url":"http://doi.org/10.1093/nar/gkp799","authors":"Wilkinson P,Sengerova J,Matteoni R,Chen CK,Soulat G,Ureta-Vidal A,Fessele S,Hagn M,Massimi M,Pickford K,Butler RH,Marschall S,Mallon AM,Pickard A,Raspa M,Scavizzi F,Fray M,Larrigaldie V,Leyritz J,Birney E,Tocchini-Valentini GP,Brown S,Herault Y,Montoliu L,de Angelis MH,Smedley D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp799","created_at":"2021-09-30T08:27:48.503Z","updated_at":"2021-09-30T11:29:46.862Z"},{"id":3186,"pubmed_id":null,"title":"INFRAFRONTIER: a European resource for studying the functional basis of human disease","year":2016,"url":"http://dx.doi.org/10.1007/s00335-016-9642-y","authors":"Raess, Michael; undefined, undefined; de Castro, Ana Ambrosio; Gailus-Durner, Valérie; Fessele, Sabine; Hrabě de Angelis, Martin; ","journal":"Mamm Genome","doi":"10.1007/s00335-016-9642-y","created_at":"2022-01-17T17:57:41.494Z","updated_at":"2022-01-17T17:57:41.494Z"},{"id":3187,"pubmed_id":null,"title":"INFRAFRONTIER--providing mutant mouse resources as research tools for the international scientific community","year":2014,"url":"http://dx.doi.org/10.1093/nar/gku1193","authors":"undefined, undefined; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1193","created_at":"2022-01-17T17:58:01.850Z","updated_at":"2022-01-17T17:58:01.850Z"},{"id":3677,"pubmed_id":34328547,"title":"INFRAFRONTIER quality principles in systemic phenotyping","year":2022,"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913563/","authors":"Hilke Ehlich, Heather L Cater, Ann M Flenniken, Isabelle Goncalves Da Cruz, Anne-Marie Mura, Vasileios Ntafis, Michael Raess, Mohammed Selloum, Claudia Stoeger, Sarka Suchanova, Reetta Vuolteenaho, Steve D M Brown, Yann Hérault, Reetta Hinttala, Martin Hrabě de Angelis, George Kollias, Dimitris L Kontoyiannis, Bernard Malissen, Colin McKerlie, Radislav Sedláček, Sara E Wells, Ana Zarubica, Jan Rozman, Tania Sorg","journal":"Mammalian Genome","doi":"","created_at":"2022-11-07T09:11:18.923Z","updated_at":"2022-11-07T09:11:18.923Z"}],"licence_links":[{"licence_name":"EMMA repository conditions","licence_id":274,"licence_url":"https://www.infrafrontier.eu/procedures/legal-issues/emma-repository-conditions-and-mtas","link_id":675,"relation":"undefined"}],"grants":[{"id":1232,"fairsharing_record_id":1935,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:00.331Z","updated_at":"2021-09-30T09:25:00.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1233,"fairsharing_record_id":1935,"organisation_id":1347,"relation":"maintains","created_at":"2021-09-30T09:25:00.357Z","updated_at":"2021-09-30T09:25:00.357Z","grant_id":null,"is_lead":true,"saved_state":{"id":1347,"name":"Infrafrontier Research Infrastructure, Infrafrontier","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":1234,"fairsharing_record_id":1935,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:00.381Z","updated_at":"2021-09-30T09:25:00.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8727,"fairsharing_record_id":1935,"organisation_id":873,"relation":"funds","created_at":"2022-01-17T17:56:50.975Z","updated_at":"2022-01-17T17:56:50.975Z","grant_id":536,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","grant":"H2020-INFRAEOSC-2018-2 824087","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":10115,"fairsharing_record_id":1935,"organisation_id":834,"relation":"undefined","created_at":"2022-11-07T09:17:59.242Z","updated_at":"2022-11-07T09:17:59.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":834,"name":"European Joint Programme on Rare Diseases","types":["Undefined"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBSZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--716d8cec860b9845fdbc70c51bae8b55c8877ef4/emma_logo_slogan_4c_rgb.png?disposition=inline","exhaustive_licences":false}},{"id":"1937","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:59:50.050Z","metadata":{"doi":"10.25504/FAIRsharing.eyjkws","name":"Microbial Protein Interaction Database","status":"deprecated","contacts":[{"contact_name":"Johannes Goll","contact_email":"jgoll@jcvi.org"}],"homepage":"http://www.jcvi.org/mpidb/about.php","identifier":1937,"description":"The microbial protein interaction database (MPIDB) provides physical microbial interaction data. The interactions are manually curated from the literature or imported from other databases, and are linked to supporting experimental evidence, as well as evidences based on interaction conservation, protein complex membership, and 3D domain contacts. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"MPIDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.jcvi.org/mpidb/contact.php","type":"Contact form"},{"url":"http://www.jcvi.org/mpidb/help.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000402","bsg-d000402"],"name":"FAIRsharing record for: Microbial Protein Interaction Database","abbreviation":"MPIDB","url":"https://fairsharing.org/10.25504/FAIRsharing.eyjkws","doi":"10.25504/FAIRsharing.eyjkws","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The microbial protein interaction database (MPIDB) provides physical microbial interaction data. The interactions are manually curated from the literature or imported from other databases, and are linked to supporting experimental evidence, as well as evidences based on interaction conservation, protein complex membership, and 3D domain contacts. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Small molecule","Curated information","Protein"],"taxonomies":["Bacteria","Fungi"],"user_defined_tags":["Physical interaction"],"countries":["United States"],"publications":[{"id":402,"pubmed_id":18556668,"title":"MPIDB: the microbial protein interaction database.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn285","authors":"Goll J., Rajagopala SV., Shiau SC., Wu H., Lamb BT., Uetz P.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn285","created_at":"2021-09-30T08:23:03.691Z","updated_at":"2021-09-30T08:23:03.691Z"}],"licence_links":[],"grants":[{"id":1236,"fairsharing_record_id":1937,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:25:00.431Z","updated_at":"2021-09-30T09:25:00.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1943","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:20:23.318Z","metadata":{"doi":"10.25504/FAIRsharing.mphj4z","name":"Yeast Searching for Transcriptional Regulators and Consensus Tracking","status":"ready","contacts":[{"contact_name":"Isabel Sá-Correia","contact_email":"isacorreia@tecnico.ulisboa.pt"},{"contact_name":"General Contact","contact_email":"contact@yeastract.com","contact_orcid":null}],"homepage":"http://www.yeastract.com","citations":[],"identifier":1943,"description":"YEASTRACT (Yeast Search for Transcriptional Regulators And Consensus Tracking) is a curated repository of more than 48333 regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae, based on more than 1200 bibliographic references.","abbreviation":"YEASTRACT","data_curation":{"url":"http://yeastract-plus.org/termsusage.php","type":"manual"},"support_links":[{"url":"http://www.yeastract.com/contactus.php","type":"Contact form"},{"url":"http://www.yeastract.com/help/","type":"Help documentation"},{"url":"http://www.yeastract.com/tutorial.php","type":"Training documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://www.yeastract.com/formorftogene.php","name":"Transform an ORF List into a Gene List"},{"url":"http://www.yeastract.com/iupacgeneration.php","name":"IUPAC Code Generation for DNA Sequences"},{"url":"http://www.yeastract.com/formgenerateregulationmatrix.php","name":"Generate Regulation Matrix"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.yeastract.com/datasubmission.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000409","bsg-d000409"],"name":"FAIRsharing record for: Yeast Searching for Transcriptional Regulators and Consensus Tracking","abbreviation":"YEASTRACT","url":"https://fairsharing.org/10.25504/FAIRsharing.mphj4z","doi":"10.25504/FAIRsharing.mphj4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: YEASTRACT (Yeast Search for Transcriptional Regulators And Consensus Tracking) is a curated repository of more than 48333 regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae, based on more than 1200 bibliographic references.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genetics","Biology"],"domains":["Deoxyribonucleic acid","Regulation of gene expression","Biological regulation","Small molecule","Transcription factor","Transcript","Gene"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Portugal"],"publications":[{"id":1392,"pubmed_id":24170807,"title":"The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1015","authors":"Teixeira MC,Monteiro PT,Guerreiro JF,Goncalves JP,Mira NP,dos Santos SC,Cabrito TR,Palma M,Costa C,Francisco AP,Madeira SC,Oliveira AL,Freitas AT,Sa-Correia I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1015","created_at":"2021-09-30T08:24:55.584Z","updated_at":"2021-09-30T11:29:07.668Z"},{"id":1446,"pubmed_id":16381908,"title":"The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae.","year":2005,"url":"http://doi.org/10.1093/nar/gkj013","authors":"Teixeira MC,Monteiro P,Jain P,Tenreiro S,Fernandes AR,Mira NP,Alenquer M,Freitas AT,Oliveira AL,Sa-Correia I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj013","created_at":"2021-09-30T08:25:01.650Z","updated_at":"2021-09-30T11:29:08.426Z"},{"id":3033,"pubmed_id":20972212,"title":"YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interface.","year":2010,"url":"http://doi.org/10.1093/nar/gkq964","authors":"Abdulrehman D., Monteiro PT., Teixeira MC., Mira NP., Lourenço AB., dos Santos SC., Cabrito TR., Francisco AP., Madeira SC., Aires RS., Oliveira AL., Sá-Correia I., Freitas AT.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq964","created_at":"2021-09-30T08:28:13.783Z","updated_at":"2021-09-30T08:28:13.783Z"},{"id":3055,"pubmed_id":18032429,"title":"YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae.","year":2007,"url":"http://doi.org/10.1093/nar/gkm976","authors":"Monteiro PT,Mendes ND,Teixeira MC,d'Orey S,Tenreiro S,Mira NP,Pais H,Francisco AP,Carvalho AM,Lourenco AB,Sa-Correia I,Oliveira AL,Freitas AT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm976","created_at":"2021-09-30T08:28:16.446Z","updated_at":"2021-09-30T11:29:50.403Z"}],"licence_links":[{"licence_name":"YEASTRACT Attribution required","licence_id":879,"licence_url":"http://www.yeastract.com/cite.php","link_id":2307,"relation":"undefined"}],"grants":[{"id":1253,"fairsharing_record_id":1943,"organisation_id":1642,"relation":"maintains","created_at":"2021-09-30T09:25:00.991Z","updated_at":"2021-09-30T09:25:00.991Z","grant_id":null,"is_lead":false,"saved_state":{"id":1642,"name":"Knowledge Discovery \u0026 Bioinformatics Research Group, Instituto Superior Tecnico, Lisbon, Portugal","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":8042,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:30:36.637Z","updated_at":"2021-09-30T09:30:36.693Z","grant_id":789,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"Pest-OE/EQB/LA0023/2011_research line","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1252,"fairsharing_record_id":1943,"organisation_id":260,"relation":"maintains","created_at":"2021-09-30T09:25:00.965Z","updated_at":"2021-09-30T09:25:00.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":260,"name":"Biological Sciences Research Group, Instituto Superior Tcnico, Lisbon, Portugal","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1251,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:25:00.941Z","updated_at":"2021-09-30T09:29:57.759Z","grant_id":488,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"PTDC/EIA/67722/2006","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8084,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:30:50.255Z","updated_at":"2021-09-30T09:30:50.305Z","grant_id":894,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"PTDC/EIA/71587/2006","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8196,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:31:27.347Z","updated_at":"2021-09-30T09:31:27.404Z","grant_id":1176,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"PTDC/BIO/72063/2006","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1944","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:54.625Z","metadata":{"doi":"10.25504/FAIRsharing.drcy7r","name":"NeuroMorpho.Org","status":"ready","contacts":[{"contact_name":"NeuroMorpho Admin","contact_email":"nmadmin@gmu.edu"}],"homepage":"http://neuromorpho.org/","citations":[{"doi":"10.1038/nrn1885","pubmed_id":16552417,"publication_id":423}],"identifier":1944,"description":"NeuroMorpho.Org is a centrally curated inventory of 3D digitally reconstructed neurons associated with peer-reviewed publications. The goal of NeuroMorpho.Org is to provide dense coverage of available reconstruction data for the neuroscience community.","abbreviation":"NeuroMorpho.Org","data_curation":{"url":"https://neuromorpho.org/myfaq.jsp","type":"manual"},"support_links":[{"url":"http://neuromorpho.org/myfaq.jsp","name":"NeuroMorpho FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://neuromorpho.org/main_help.jsp","name":"Quick Start","type":"Help documentation"},{"url":"https://twitter.com/NeuroMorphoOrg","name":"@NeuroMorphoOrg","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010107","name":"re3data:r3d100010107","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002145","name":"SciCrunch:RRID:SCR_002145","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://neuromorpho.org/data_submission_guide.jsp","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000410","bsg-d000410"],"name":"FAIRsharing record for: NeuroMorpho.Org","abbreviation":"NeuroMorpho.Org","url":"https://fairsharing.org/10.25504/FAIRsharing.drcy7r","doi":"10.25504/FAIRsharing.drcy7r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeuroMorpho.Org is a centrally curated inventory of 3D digitally reconstructed neurons associated with peer-reviewed publications. The goal of NeuroMorpho.Org is to provide dense coverage of available reconstruction data for the neuroscience community.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10769},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10945},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11062}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Computational Neuroscience","Neuroscience"],"domains":["Molecular structure","Neuron","Cell morphology","Structure"],"taxonomies":["Metazoa"],"user_defined_tags":["Digital reconstruction","Metadata standardization"],"countries":["United States"],"publications":[{"id":423,"pubmed_id":16552417,"title":"Mobilizing the base of neuroscience data: the case of neuronal morphologies.","year":2006,"url":"http://doi.org/10.1038/nrn1885","authors":"Ascoli GA.","journal":"Nat. Rev. Neurosci.","doi":"10.1038/nrn1885","created_at":"2021-09-30T08:23:05.974Z","updated_at":"2021-09-30T08:23:05.974Z"},{"id":663,"pubmed_id":22536169,"title":"Digital reconstructions of neuronal morphology: three decades of research trends","year":2012,"url":"http://doi.org/10.3389/fnins.2012.00049","authors":"Halavi M, Hamilton KA, Parekh R, Ascoli GA.","journal":"Frontiers in Neuroscience","doi":"10.3389/fnins.2012.00049","created_at":"2021-09-30T08:23:33.186Z","updated_at":"2021-09-30T08:23:33.186Z"},{"id":699,"pubmed_id":25653123,"title":"The importance of metadata to assess information content in digital reconstructions of neuronal morphology.","year":2015,"url":"http://doi.org/10.1007/s00441-014-2103-6","authors":"Parekh R., Armananzas R., Ascoli GA.","journal":"Cell and Tissue Research","doi":"10.1007/s00441-014-2103-6","created_at":"2021-09-30T08:23:37.077Z","updated_at":"2021-09-30T08:23:37.077Z"},{"id":700,"pubmed_id":24972604,"title":"Quantitative investigations of axonal and dendritic arbors: development, structure, function, and pathology","year":2014,"url":"http://doi.org/10.1177/1073858414540216","authors":"Parekh R, Ascoli GA","journal":"Neuroscientist","doi":"10.1177/1073858414540216","created_at":"2021-09-30T08:23:37.186Z","updated_at":"2021-09-30T08:23:37.186Z"},{"id":705,"pubmed_id":23522039,"title":"Neuronal morphology goes digital: A research hub for cellular and system neuroscience.","year":2013,"url":"http://doi.org/10.1016/j.neuron.2013.03.008","authors":"Parekh R, Ascoli GA","journal":"Neuron","doi":"10.1016/j.neuron.2013.03.008","created_at":"2021-09-30T08:23:37.695Z","updated_at":"2021-09-30T08:23:37.695Z"},{"id":707,"pubmed_id":25576225,"title":"Doubling up on the Fly: NeuroMorpho.Org Meets Big Data","year":2015,"url":"http://doi.org/10.1007/s12021-014-9257-y","authors":"Nanda S, Allaham MM, Bergamino M, Polavaram S, Armañanzas R, Ascoli GA, Parekh R.","journal":"Neuroinformatics","doi":"10.1007/s12021-014-9257-y","created_at":"2021-09-30T08:23:37.936Z","updated_at":"2021-09-30T08:23:37.936Z"},{"id":1167,"pubmed_id":18949582,"title":"NeuroMorpho.Org implementation of digital neuroscience: dense coverage and integration with the NIF.","year":2008,"url":"http://doi.org/10.1007/s12021-008-9030-1","authors":"Halavi M,Polavaram S,Donohue DE,Hamilton G,Hoyt J,Smith KP,Ascoli GA","journal":"Neuroinformatics","doi":"10.1007/s12021-008-9030-1","created_at":"2021-09-30T08:24:29.708Z","updated_at":"2021-09-30T08:24:29.708Z"}],"licence_links":[{"licence_name":"NeuroMorpho Terms of Use","licence_id":572,"licence_url":"http://neuromorpho.org/useterm.jsp","link_id":2376,"relation":"undefined"}],"grants":[{"id":1254,"fairsharing_record_id":1944,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:01.015Z","updated_at":"2021-09-30T09:30:05.013Z","grant_id":543,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 NS39600","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1255,"fairsharing_record_id":1944,"organisation_id":1128,"relation":"maintains","created_at":"2021-09-30T09:25:01.041Z","updated_at":"2021-09-30T09:25:01.041Z","grant_id":null,"is_lead":true,"saved_state":{"id":1128,"name":"George Mason University, Fairfax, VA, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1256,"fairsharing_record_id":1944,"organisation_id":1648,"relation":"maintains","created_at":"2021-09-30T09:25:01.065Z","updated_at":"2021-09-30T09:25:01.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1648,"name":"Krasnow Institute for Advanced Study, Fairfax, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1258,"fairsharing_record_id":1944,"organisation_id":2806,"relation":"maintains","created_at":"2021-09-30T09:25:01.116Z","updated_at":"2021-09-30T09:25:01.116Z","grant_id":null,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1260,"fairsharing_record_id":1944,"organisation_id":2229,"relation":"funds","created_at":"2021-09-30T09:25:01.176Z","updated_at":"2021-09-30T09:29:26.786Z","grant_id":254,"is_lead":false,"saved_state":{"id":2229,"name":"Office of Naval Research (ONR), Arlington, VA, USA","grant":"ONR MURI N00014-10-1-0198","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1257,"fairsharing_record_id":1944,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:01.092Z","updated_at":"2021-09-30T09:32:41.997Z","grant_id":1738,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF DBI 1546335 (BRAIN EAGER)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1259,"fairsharing_record_id":1944,"organisation_id":2806,"relation":"funds","created_at":"2021-09-30T09:25:01.143Z","updated_at":"2021-09-30T09:30:57.833Z","grant_id":955,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","grant":"Keck NAKFI","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8332,"fairsharing_record_id":1944,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:08.391Z","updated_at":"2021-09-30T09:32:08.441Z","grant_id":1486,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 NS086082","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1953","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:46:22.948Z","metadata":{"doi":"10.25504/FAIRsharing.xxtmjs","name":"Melanoma Molecular Map Project","status":"deprecated","contacts":[{"contact_name":"Simone Mocellin","contact_email":"simone.mocellin@unipd.it","contact_orcid":"0000-0002-9433-8445"}],"homepage":"http://www.mmmp.org/MMMP/","citations":[],"identifier":1953,"description":"A collection of molecular interaction maps and pathways involved in cancer development and progression with a focus on melanoma.","abbreviation":"MMMP","data_curation":{"type":"not found"},"support_links":[{"url":"mmmpteam@mmmp.org","type":"Support email"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010276","name":"re3data:r3d100010276","portal":"re3data"}],"deprecation_date":"2022-03-14","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000419","bsg-d000419"],"name":"FAIRsharing record for: Melanoma Molecular Map Project","abbreviation":"MMMP","url":"https://fairsharing.org/10.25504/FAIRsharing.xxtmjs","doi":"10.25504/FAIRsharing.xxtmjs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A collection of molecular interaction maps and pathways involved in cancer development and progression with a focus on melanoma.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Molecular entity","Cancer","Molecular interaction","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":437,"pubmed_id":18477889,"title":"The melanoma molecular map project.","year":2008,"url":"http://doi.org/10.1097/CMR.0b013e328300c50b","authors":"Mocellin S., Rossi CR.,","journal":"Melanoma Res.","doi":"10.1097/CMR.0b013e328300c50b","created_at":"2021-09-30T08:23:07.483Z","updated_at":"2021-09-30T08:23:07.483Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2191,"relation":"undefined"}],"grants":[{"id":1283,"fairsharing_record_id":1953,"organisation_id":1469,"relation":"funds","created_at":"2021-09-30T09:25:01.882Z","updated_at":"2021-09-30T09:25:01.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":1469,"name":"Intergruppo Melanoma Italiano (IMI), Genova, Italy","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1282,"fairsharing_record_id":1953,"organisation_id":2325,"relation":"funds","created_at":"2021-09-30T09:25:01.865Z","updated_at":"2021-09-30T09:25:01.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":2325,"name":"Piccoli Punti, Italia","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1954","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-20T15:33:43.971Z","metadata":{"doi":"10.25504/FAIRsharing.5y3gdd","name":"Pathway Commons","status":"ready","contacts":[{"contact_name":"Gary Bader","contact_email":"pathway-commons-help@googlegroups.com"}],"homepage":"http://www.pathwaycommons.org","citations":[],"identifier":1954,"description":"Pathway Commons is a convenient point of access to biological pathway information collected from public pathway databases. Information is sourced from public pathway databases and is readily searched, visualized, and downloaded. The data is freely available under the license terms of each contributing database.","abbreviation":"PC","data_curation":{"url":"http://www.pathwaycommons.org/","type":"manual/automated","notes":"Data is automatically and manually checked at every release."},"support_links":[{"url":"http://www.pathwaycommons.org/#faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/forum/#!forum/pathway-commons-help","type":"Forum"},{"url":"pathway-commons-help@googlegroups.com","type":"Mailing list"},{"url":"https://twitter.com/PathwayCommons","type":"Twitter"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://apps.cytoscape.org/apps/cypath2","name":"CyPathwayCommons 2"},{"url":"http://www.sanderlab.org/pcviz/","name":"PCViz"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012731","name":"re3data:r3d100012731","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002103","name":"SciCrunch:RRID:SCR_002103","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.pathwaycommons.org/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000420","bsg-d000420"],"name":"FAIRsharing record for: Pathway Commons","abbreviation":"PC","url":"https://fairsharing.org/10.25504/FAIRsharing.5y3gdd","doi":"10.25504/FAIRsharing.5y3gdd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pathway Commons is a convenient point of access to biological pathway information collected from public pathway databases. Information is sourced from public pathway databases and is readily searched, visualized, and downloaded. The data is freely available under the license terms of each contributing database.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11064},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12246}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Computational Biology","Life Science","Systems Biology"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":51,"pubmed_id":21071392,"title":"Pathway Commons, a web resource for biological pathway data.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1039","authors":"Cerami EG., Gross BE., Demir E., Rodchenkov I., Babur O., Anwar N., Schultz N., Bader GD., Sander C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1039","created_at":"2021-09-30T08:22:25.855Z","updated_at":"2021-09-30T08:22:25.855Z"}],"licence_links":[],"grants":[{"id":1289,"fairsharing_record_id":1954,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:01.982Z","updated_at":"2021-09-30T09:31:47.559Z","grant_id":1328,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"P41HG004118","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8416,"fairsharing_record_id":1954,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:32:32.610Z","updated_at":"2021-09-30T09:32:32.668Z","grant_id":1667,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"2R01GM070743-06","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8924,"fairsharing_record_id":1954,"organisation_id":578,"relation":"maintains","created_at":"2022-03-08T15:49:16.703Z","updated_at":"2022-03-08T15:49:16.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":578,"name":"Computational Biology Center, Memorial Sloan-Kettering Cancer Center","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1285,"fairsharing_record_id":1954,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:01.915Z","updated_at":"2021-09-30T09:31:46.926Z","grant_id":1323,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"1T32 GM083937","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1288,"fairsharing_record_id":1954,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:25:01.965Z","updated_at":"2021-09-30T09:25:01.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11499,"fairsharing_record_id":1954,"organisation_id":159,"relation":"maintains","created_at":"2024-03-20T15:27:44.787Z","updated_at":"2024-03-20T15:27:44.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":159,"name":"Bader Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1949","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:08.083Z","metadata":{"doi":"10.25504/FAIRsharing.fhcmwq","name":"The Global Proteome Machine Database","status":"ready","contacts":[{"contact_email":"contact@thegpm.org"}],"homepage":"https://www.thegpm.org/GPMDB/index.html","citations":[{"doi":"10.1021/pr049882h","pubmed_id":15595733,"publication_id":1266}],"identifier":1949,"description":"The Global Proteome Machine Database (gpmDB holds the minimum amount of information necessary for common bioinformatics-related tasks (such as sequence assignment validation) rather than being a complete record of a proteomics experiment. It was also created to aid in the process of validating peptide MS/MS spectra as well as protein coverage patterns. Most of the data is held in a set of XML files: the database serves as an index to those files, allowing for rapid lookups and reduced database storage requirements.","abbreviation":"gpmDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.thegpm.org/","name":"gpmDB Blog","type":"Blog/News"},{"url":"https://www.thegpm.org/GPMDB/gpmdb_faq.html","name":"gpmDB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wiki.thegpm.org/wiki/Main_Page","name":"gpmDB Wiki","type":"Help documentation"},{"url":"https://www.thegpm.org/GPMDB/url_conventions.html","name":"gpmDB URL Conventions","type":"Help documentation"},{"url":"https://twitter.com/GPMDB","name":"@GPMDB","type":"Twitter"}],"year_creation":2003,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010883","name":"re3data:r3d100010883","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006617","name":"SciCrunch:RRID:SCR_006617","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.thegpm.org/GPMDB/tutorials.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000415","bsg-d000415"],"name":"FAIRsharing record for: The Global Proteome Machine Database","abbreviation":"gpmDB","url":"https://fairsharing.org/10.25504/FAIRsharing.fhcmwq","doi":"10.25504/FAIRsharing.fhcmwq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Global Proteome Machine Database (gpmDB holds the minimum amount of information necessary for common bioinformatics-related tasks (such as sequence assignment validation) rather than being a complete record of a proteomics experiment. It was also created to aid in the process of validating peptide MS/MS spectra as well as protein coverage patterns. Most of the data is held in a set of XML files: the database serves as an index to those files, allowing for rapid lookups and reduced database storage requirements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Proteomics"],"domains":["Mass spectrum","Proteome","Molecular interaction","Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1266,"pubmed_id":15595733,"title":"Open source system for analyzing, validating, and storing protein identification data.","year":2004,"url":"http://doi.org/10.1021/pr049882h","authors":"Craig R,Cortens JP,Beavis RC","journal":"J Proteome Res","doi":"10.1021/pr049882h","created_at":"2021-09-30T08:24:41.275Z","updated_at":"2021-09-30T08:24:41.275Z"}],"licence_links":[],"grants":[{"id":1271,"fairsharing_record_id":1949,"organisation_id":1750,"relation":"maintains","created_at":"2021-09-30T09:25:01.560Z","updated_at":"2021-09-30T09:25:01.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1750,"name":"Manitoba Centre for Proteomics and Systems Biology (MCPSB), Winnipeg, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1950","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-13T09:28:42.545Z","metadata":{"doi":"10.25504/FAIRsharing.nhmd3w","name":"DragonDB","status":"deprecated","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"markw@illuminae.com"}],"homepage":"http://www.antirrhinum.net","citations":[],"identifier":1950,"description":"The NEW Antirrhinum majus (Snapdragon) genetic and genomic database","abbreviation":"DragonDB","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://www.antirrhinum.net/blast/blast.html","name":"BLAST"}],"deprecation_date":"2021-06-24","deprecation_reason":"The website is no longer available","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000416","bsg-d000416"],"name":"FAIRsharing record for: DragonDB","abbreviation":"DragonDB","url":"https://fairsharing.org/10.25504/FAIRsharing.nhmd3w","doi":"10.25504/FAIRsharing.nhmd3w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NEW Antirrhinum majus (Snapdragon) genetic and genomic database","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Antirrhinum majus"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[],"grants":[{"id":1272,"fairsharing_record_id":1950,"organisation_id":3024,"relation":"maintains","created_at":"2021-09-30T09:25:01.598Z","updated_at":"2021-09-30T09:25:01.598Z","grant_id":null,"is_lead":false,"saved_state":{"id":3024,"name":"University of British Columbia, Vancouver, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1273,"fairsharing_record_id":1950,"organisation_id":1303,"relation":"maintains","created_at":"2021-09-30T09:25:01.639Z","updated_at":"2021-09-30T09:25:01.639Z","grant_id":null,"is_lead":false,"saved_state":{"id":1303,"name":"IBM, New York, NY, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1274,"fairsharing_record_id":1950,"organisation_id":1788,"relation":"undefined","created_at":"2021-09-30T09:25:01.682Z","updated_at":"2021-09-30T09:25:01.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":1788,"name":"Max Planck Institute for Plant Breeding Research, Cologne, Germany","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1948","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:05.045Z","metadata":{"doi":"10.25504/FAIRsharing.aq280w","name":"Maize Genetics and Genomics Database","status":"ready","contacts":[{"contact_name":"Carson Andorf","contact_email":"carson.andorf@ars.usda.gov"}],"homepage":"https://www.maizegdb.org","citations":[{"doi":"10.1093/nar/gky1046","pubmed_id":30407532,"publication_id":2975}],"identifier":1948,"description":"MaizeGDB is the maize research community's central repository for genetics and genomics information.","abbreviation":"MaizeGDB","data_curation":{"url":"https://www.maizegdb.org/contribute_data","type":"manual/automated","notes":"Both curator from MaizeGDB's primary team and community curators insure the data quality."},"support_links":[{"url":"https://maizegdb.org/contact","type":"Contact form"},{"url":"http://www.maizegdb.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://outreach.maizegdb.org","type":"Training documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"https://blast.maizegdb.org","name":"BLAST"},{"url":"https://corncyc-b73-v4.maizegdb.org","name":"CornCyc"},{"url":"https://www.maizegdb.org/snpversity","name":"SNPversity"},{"url":"https://maizegdb.org/gbrowse","name":"Genome browser - GBrowse"},{"url":"https://qteller.maizegdb.org/","name":"qTeller"},{"url":"https://jbrowse.maizegdb.org","name":"Genome Browser - JBrowse"},{"url":"https://maizegdb.org/breeders_toolbox","name":"Pedigree Viewer"},{"url":"https://genomeqc.maizegdb.org","name":"GenomeQC"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010795","name":"re3data:r3d100010795","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006600","name":"SciCrunch:RRID:SCR_006600","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.maizegdb.org/contribute_data","type":"controlled","notes":"Submited data/metadata must meet several criteria including being FAIR and published."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000414","bsg-d000414"],"name":"FAIRsharing record for: Maize Genetics and Genomics Database","abbreviation":"MaizeGDB","url":"https://fairsharing.org/10.25504/FAIRsharing.aq280w","doi":"10.25504/FAIRsharing.aq280w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MaizeGDB is the maize research community's central repository for genetics and genomics information.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11620},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16718}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Life Science"],"domains":["Cytogenetic map","Expression data","Deoxyribonucleic acid","Genetic polymorphism","Phenotype","Pathway model","Genome","Germplasm"],"taxonomies":["Zea mays"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1411,"pubmed_id":18769488,"title":"MaizeGDB: The maize model organism database for basic, translational, and applied research.","year":2008,"url":"http://doi.org/10.1155/2008/496957","authors":"Lawrence CJ., Harper LC., Schaeffer ML., Sen TZ., Seigfried TE., Campbell DA.,","journal":"Int J Plant Genomics","doi":"10.1155/2008/496957","created_at":"2021-09-30T08:24:57.719Z","updated_at":"2021-09-30T08:24:57.719Z"},{"id":2924,"pubmed_id":26519406,"title":"MaizeGDB: The Maize Genetics and Genomics Database","year":2015,"url":"http://doi.org/10.1007/978-1-4939-3167-5_9","authors":"Harper L, Gardiner J, Andorf C, Lawrence CJ.","journal":"Methods Mol Biol.","doi":"10.1007/978-1-4939-3167-5_9","created_at":"2021-09-30T08:28:00.114Z","updated_at":"2021-09-30T08:28:00.114Z"},{"id":2925,"pubmed_id":26432828,"title":"MaizeGDB update: new tools, data and interface for the maize model organism database","year":2015,"url":"http://doi.org/10.1093/nar/gkv1007","authors":"Andorf CM, Cannon EK, Portwood JL 2nd, Gardiner JM, Harper LC, Schaeffer ML, Braun BL, Campbell DA, Vinnakota AG, Sribalusu VV, Huerta M, Cho KT, Wimalanathan K, Richter JD, Mauch ED, Rao BS, Birkett SM, Sen TZ, Lawrence-Dill CJ.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1007","created_at":"2021-09-30T08:28:00.230Z","updated_at":"2021-09-30T11:29:49.105Z"},{"id":2926,"pubmed_id":31555312,"title":"MaizeDIG: Maize Database of Images and Genomes.","year":2019,"url":"http://doi.org/10.3389/fpls.2019.01050","authors":"Cho KT, Portwood JL 2nd, Gardiner JM, Harper LC, Lawrence-Dill CJ, Friedberg I, Andorf CM","journal":"Frontiers in Plant Science","doi":"10.3389/fpls.2019.01050","created_at":"2021-09-30T08:28:00.347Z","updated_at":"2021-09-30T08:28:00.347Z"},{"id":2975,"pubmed_id":30407532,"title":"MaizeGDB 2018: the maize multi-genome genetics and genomics database","year":2018,"url":"http://doi.org/10.1093/nar/gky1046","authors":"Portwood JL II, Woodhouse MR, Cannon EK, Gardiner JM, Harper LC, Schaeffer ML, Walsh JR, Sen TZ, Cho KT, Schott DA, Braun BL, Dietze M, Dunfee B, Elsik CG, Manchanda N, Coe E, Sachs M, Stinard P, Tolbert J, Zimmerman S, Andorf CM.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1046","created_at":"2021-09-30T08:28:06.583Z","updated_at":"2021-09-30T08:28:06.583Z"}],"licence_links":[{"licence_name":"MaizeGDB Attribution required","licence_id":501,"licence_url":"https://www.maizegdb.org/cite","link_id":519,"relation":"undefined"}],"grants":[{"id":1270,"fairsharing_record_id":1948,"organisation_id":1746,"relation":"maintains","created_at":"2021-09-30T09:25:01.529Z","updated_at":"2021-09-30T09:25:01.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":1746,"name":"Maize Genetics and Genomoics Database (MaizeGDB) Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1962","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-21T09:58:26.058Z","metadata":{"doi":"10.25504/FAIRsharing.cwn40y","name":"Sequence-Structural Templates of Single-member Superfamilies","status":"deprecated","contacts":[{"contact_name":"Ramanathan Sowdhamini","contact_email":"mini@ncbs.res.in"}],"homepage":"http://caps.ncbs.res.in/SSTOSS/index.htm","citations":[],"identifier":1962,"description":"SSToSS is a database which provides sequence-structural templates of single member protein domain superfamilies like PASS2. Sequence-structural templates are recognized by considering the content and overlap of sequence similarity and structural parameters like, solvent inaccessibility, secondary structural content, hydrogen bonding and spatial packing of the residues among the protein of single member superfamilies.","abbreviation":"SSToSS","data_curation":{"type":"not found"},"support_links":[{"url":"http://caps.ncbs.res.in/SSTOSS/info.htm","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2023-09-21","deprecation_reason":"The homepage is no longer valid, and a new homepage cannot be found. Please let us know if you have any additional information.","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000428","bsg-d000428"],"name":"FAIRsharing record for: Sequence-Structural Templates of Single-member Superfamilies","abbreviation":"SSToSS","url":"https://fairsharing.org/10.25504/FAIRsharing.cwn40y","doi":"10.25504/FAIRsharing.cwn40y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SSToSS is a database which provides sequence-structural templates of single member protein domain superfamilies like PASS2. Sequence-structural templates are recognized by considering the content and overlap of sequence similarity and structural parameters like, solvent inaccessibility, secondary structural content, hydrogen bonding and spatial packing of the residues among the protein of single member superfamilies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12659}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Protein structure","Protein domain","Secondary protein structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":298,"pubmed_id":16922694,"title":"SSToSS--sequence-structural templates of single-member superfamilies.","year":2006,"url":"https://www.ncbi.nlm.nih.gov/pubmed/16922694","authors":"Chakrabarti S,Manohari G,Pugalenthi G,Sowdhamini R","journal":"In Silico Biol","doi":null,"created_at":"2021-09-30T08:22:52.116Z","updated_at":"2021-09-30T08:22:52.116Z"}],"licence_links":[],"grants":[{"id":1306,"fairsharing_record_id":1962,"organisation_id":1958,"relation":"maintains","created_at":"2021-09-30T09:25:02.266Z","updated_at":"2021-09-30T09:25:02.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":1958,"name":"National Center for Biological Sciences (NCBS), Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1963","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:08.072Z","metadata":{"doi":"10.25504/FAIRsharing.vwmc9h","name":"AceView genes","status":"ready","contacts":[{"contact_email":"mieg@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/IEB/Research/Acembly/","citations":[],"identifier":1963,"description":"AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes.","abbreviation":"AceView","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/IEB/Research/Acembly/","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2000,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010651","name":"re3data:r3d100010651","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002277","name":"SciCrunch:RRID:SCR_002277","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/IEB/Research/Acembly/HelpQuery.html","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000429","bsg-d000429"],"name":"FAIRsharing record for: AceView genes","abbreviation":"AceView","url":"https://fairsharing.org/10.25504/FAIRsharing.vwmc9h","doi":"10.25504/FAIRsharing.vwmc9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Genetic polymorphism","Messenger RNA","Gene","Complementary DNA"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3923,"pubmed_id":null,"title":"AceView: a comprehensive cDNA-supported gene and transcripts annotation","year":2006,"url":"http://dx.doi.org/10.1186/gb-2006-7-s1-s12","authors":"Thierry-Mieg, Danielle; Thierry-Mieg, Jean; ","journal":"Genome Biol","doi":"10.1186/gb-2006-7-s1-s12","created_at":"2023-06-19T06:53:03.750Z","updated_at":"2023-06-19T06:53:03.750Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1916,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1904,"relation":"undefined"}],"grants":[{"id":1307,"fairsharing_record_id":1963,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.283Z","updated_at":"2021-09-30T09:25:02.283Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1964","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:50:20.386Z","metadata":{"doi":"10.25504/FAIRsharing.w2eeqr","name":"NCBI BioSystems Database","status":"deprecated","contacts":[{"contact_name":"General information","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/biosystems/","citations":[],"identifier":1964,"description":"The NCBI BioSystems database centralizes and cross-links existing biological systems databases, increasing their utility and target audience by integrating their pathways and systems into NCBI resources. The resource provides categorical information on genes, proteins and small molecules of biosystems.","abbreviation":"BioSystems","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/Structure/biosystems/docs/biosystems_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/biosystems/docs/biosystems_help.html","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/Structure/flink/flink.cgi","name":"FLink"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011033","name":"re3data:r3d100011033","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004690","name":"SciCrunch:RRID:SCR_004690","portal":"SciCrunch"}],"deprecation_date":"2022-03-14","deprecation_reason":"NCBI now provides metabolic pathway and other biosystems data through the regularly updated PubChem Pathways resource. Please see https://ncbiinsights.ncbi.nlm.nih.gov/2021/08/10/retire-biosystems-database/ for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000430","bsg-d000430"],"name":"FAIRsharing record for: NCBI BioSystems Database","abbreviation":"BioSystems","url":"https://fairsharing.org/10.25504/FAIRsharing.w2eeqr","doi":"10.25504/FAIRsharing.w2eeqr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCBI BioSystems database centralizes and cross-links existing biological systems databases, increasing their utility and target audience by integrating their pathways and systems into NCBI resources. The resource provides categorical information on genes, proteins and small molecules of biosystems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology","Systems Biology"],"domains":["Molecular entity","Small molecule","Protein","Pathway model","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":448,"pubmed_id":19854944,"title":"The NCBI BioSystems database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp858","authors":"Geer LY., Marchler-Bauer A., Geer RC., Han L., He J., He S., Liu C., Shi W., Bryant SH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp858","created_at":"2021-09-30T08:23:08.644Z","updated_at":"2021-09-30T08:23:08.644Z"}],"licence_links":[{"licence_name":"BioSystems Attribution required","licence_id":82,"licence_url":"https://www.ncbi.nlm.nih.gov/Structure/biosystems/docs/biosystems_publications.html","link_id":1756,"relation":"undefined"},{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1760,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1754,"relation":"undefined"}],"grants":[{"id":1309,"fairsharing_record_id":1964,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.325Z","updated_at":"2021-09-30T09:25:02.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1308,"fairsharing_record_id":1964,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.299Z","updated_at":"2021-09-30T09:25:02.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1965","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:40.217Z","metadata":{"doi":"10.25504/FAIRsharing.2cyh1h","name":"NCBI Cancer Chromosome Database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=cancerchromosomes","identifier":1965,"description":"Three databases, the NCI/NCBI SKY/M-FISH \u0026 CGH Database, the NCI Mitelman Database of Chromosome Aberrations in Cancer, and the NCI Recurrent Aberrations in Cancer , are now integrated into NCBI's Entrez system as Cancer Chromosomes.","abbreviation":"Cancer Chromosomes","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2016-12-21","deprecation_reason":"Due to budgetary constraints, the National Center for Biotechnology Information (NCBI) has discontinued the Cancer Chromosomes database and it has been removed from the Entrez System.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000431","bsg-d000431"],"name":"FAIRsharing record for: NCBI Cancer Chromosome Database","abbreviation":"Cancer Chromosomes","url":"https://fairsharing.org/10.25504/FAIRsharing.2cyh1h","doi":"10.25504/FAIRsharing.2cyh1h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Three databases, the NCI/NCBI SKY/M-FISH \u0026 CGH Database, the NCI Mitelman Database of Chromosome Aberrations in Cancer, and the NCI Recurrent Aberrations in Cancer , are now integrated into NCBI's Entrez system as Cancer Chromosomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Deoxyribonucleic acid","Cancer","Chromosomal aberration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":954,"relation":"undefined"}],"grants":[{"id":1311,"fairsharing_record_id":1965,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.357Z","updated_at":"2021-09-30T09:25:02.357Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1310,"fairsharing_record_id":1965,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.341Z","updated_at":"2021-09-30T09:25:02.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1966","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:36.496Z","metadata":{"doi":"10.25504/FAIRsharing.46s4nt","name":"The Consensus CDS","status":"ready","contacts":[{"contact_name":"Kim D. Pruitt","contact_email":"Pruitt@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/CCDS/","identifier":1966,"description":"The Consensus CDS (CCDS) project is a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated and of high quality. The long term goal is to support convergence towards a standard set of gene annotations.","abbreviation":"CCDS","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/projects/CCDS/CcdsBrowse.cgi#process","type":"manual"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/projects/CCDS/UserRequest/UserRequest.cgi","type":"Contact form"},{"url":"info@ncbi.nlm.nih.gov","type":"Support email"}],"year_creation":2005,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000432","bsg-d000432"],"name":"FAIRsharing record for: The Consensus CDS","abbreviation":"CCDS","url":"https://fairsharing.org/10.25504/FAIRsharing.46s4nt","doi":"10.25504/FAIRsharing.46s4nt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Consensus CDS (CCDS) project is a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated and of high quality. The long term goal is to support convergence towards a standard set of gene annotations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1930,"pubmed_id":19498102,"title":"The consensus coding sequence (CCDS) project: Identifying a common protein-coding gene set for the human and mouse genomes.","year":2009,"url":"http://doi.org/10.1101/gr.080531.108","authors":"Pruitt KD. et al.","journal":"Genome Res.","doi":"10.1101/gr.080531.108","created_at":"2021-09-30T08:25:57.214Z","updated_at":"2021-09-30T08:25:57.214Z"}],"licence_links":[{"licence_name":"CCDS Attribution required","licence_id":107,"licence_url":"https://www.ncbi.nlm.nih.gov/projects/CCDS/CcdsBrowse.cgi","link_id":1635,"relation":"undefined"},{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1637,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1636,"relation":"undefined"}],"grants":[{"id":1315,"fairsharing_record_id":1966,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:02.424Z","updated_at":"2021-09-30T09:25:02.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1312,"fairsharing_record_id":1966,"organisation_id":1273,"relation":"maintains","created_at":"2021-09-30T09:25:02.374Z","updated_at":"2021-09-30T09:25:02.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":1273,"name":"HUGO Gene Nomenclature Committee (HGNC), Hinxton, Cambridgeshire, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1313,"fairsharing_record_id":1966,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:02.391Z","updated_at":"2021-09-30T09:25:02.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1316,"fairsharing_record_id":1966,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.441Z","updated_at":"2021-09-30T09:25:02.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1317,"fairsharing_record_id":1966,"organisation_id":3037,"relation":"maintains","created_at":"2021-09-30T09:25:02.457Z","updated_at":"2021-09-30T09:25:02.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1318,"fairsharing_record_id":1966,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:02.474Z","updated_at":"2021-09-30T09:32:51.497Z","grant_id":1808,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1U54HG004555-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1314,"fairsharing_record_id":1966,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:25:02.406Z","updated_at":"2021-09-30T09:28:59.125Z","grant_id":42,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"WT062023","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8162,"fairsharing_record_id":1966,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:31:16.456Z","updated_at":"2021-09-30T09:31:16.509Z","grant_id":1097,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"WT077198","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9222,"fairsharing_record_id":1966,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.469Z","updated_at":"2022-04-11T12:07:23.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1977","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:43.883Z","metadata":{"doi":"10.25504/FAIRsharing.mzc066","name":"NCBI HomoloGene Database","status":"ready","contacts":[{"contact_name":"General information","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/homologene","citations":[],"identifier":1977,"description":"HomoloGene is an automated system for the detection of homologs among the annotated genes of several completely sequenced eukaryotic genomes. HomoloGene takes protein sequences from differing species and compares them to one another (using blastp) and matches are placed into groups, using a tree built from sequence similarity to guide the process, where closer related organisms are matched up first, and then further organisms are added as the tree is traversed toward the root. The protein alignments are mapped back to their corresponding DNA sequences, where distance metrics can be calculated (e.g. molecular distance, Ka/Ks ratio). Sequences are matched using synteny when applicable. Remaining sequences are matched up by using an algorithm for maximizing the score globally, rather than locally, in a bipartite matching. Cutoffs on bits per position and Ks values are set to prevent unlikely \"orthologs\" from being grouped together. These cutoffs are calculated based on the respective score distribution for the given groups of organisms. Paralogs are identified by finding sequences that are closer within species than other species.","abbreviation":"HomoloGene","data_curation":{"type":"automated"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/homologene/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/HomoloGene/HTML/homologene_querytips.html","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010781","name":"re3data:r3d100010781","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002924","name":"SciCrunch:RRID:SCR_002924","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000443","bsg-d000443"],"name":"FAIRsharing record for: NCBI HomoloGene Database","abbreviation":"HomoloGene","url":"https://fairsharing.org/10.25504/FAIRsharing.mzc066","doi":"10.25504/FAIRsharing.mzc066","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HomoloGene is an automated system for the detection of homologs among the annotated genes of several completely sequenced eukaryotic genomes. HomoloGene takes protein sequences from differing species and compares them to one another (using blastp) and matches are placed into groups, using a tree built from sequence similarity to guide the process, where closer related organisms are matched up first, and then further organisms are added as the tree is traversed toward the root. The protein alignments are mapped back to their corresponding DNA sequences, where distance metrics can be calculated (e.g. molecular distance, Ka/Ks ratio). Sequences are matched using synteny when applicable. Remaining sequences are matched up by using an algorithm for maximizing the score globally, rather than locally, in a bipartite matching. Cutoffs on bits per position and Ks values are set to prevent unlikely \"orthologs\" from being grouped together. These cutoffs are calculated based on the respective score distribution for the given groups of organisms. Paralogs are identified by finding sequences that are closer within species than other species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12665}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Genome annotation","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2200,"pubmed_id":21097890,"title":"Database resources of the National Center for Biotechnology Information.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1172","authors":"Sayers EW., Barrett T., Benson DA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1172","created_at":"2021-09-30T08:26:27.948Z","updated_at":"2021-09-30T08:26:27.948Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1042,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1061,"relation":"undefined"}],"grants":[{"id":1339,"fairsharing_record_id":1977,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.166Z","updated_at":"2021-09-30T09:25:03.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1340,"fairsharing_record_id":1977,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.204Z","updated_at":"2021-09-30T09:25:03.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1955","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T15:58:29.439Z","metadata":{"doi":"10.25504/FAIRsharing.fcwyhz","name":"Mouse Genome Database - a Mouse Genome Informatics (MGI) Resource","status":"ready","contacts":[{"contact_name":"MGI User Support","contact_email":"mgi-help@jax.org"}],"homepage":"http://www.informatics.jax.org/","citations":[],"identifier":1955,"description":"MGI is the international database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data to facilitate the study of human health and disease. Data includes gene characterization, nomenclature, mapping, gene homologies among mammals, sequence links, phenotypes, allelic variants and mutants, and strain data.","abbreviation":"MGI","data_curation":{"url":"https://www.informatics.jax.org/mgihome/homepages/help.shtml","type":"manual"},"support_links":[{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","type":"Contact form"},{"url":"http://www.informatics.jax.org/mgihome/lists/lists.shtml","type":"Mailing list"},{"url":"http://www.informatics.jax.org/mgihome/other/homepage_usingMGI.shtml","name":"How to Use MGI","type":"Help documentation"},{"url":"https://twitter.com/mgi_mouse","name":"@mgi_mouse","type":"Twitter"},{"url":"https://www.youtube.com/channel/UCT7XJlwD9uvQrwi0h3w3a-Q","name":"Youtube channel","type":"Video"},{"url":"http://www.informatics.jax.org/faq/FAQ.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.informatics.jax.org/mgihome/homepages/help.shtml","type":"Help documentation"},{"url":"http://www.informatics.jax.org/mgihome/news/whatsnew.shtml","type":"Blog/News"}],"year_creation":1994,"data_versioning":"no","associated_tools":[{"url":"http://www.mousemine.org/mousemine/begin.do","name":"MouseMine"},{"url":"http://www.informatics.jax.org/batch","name":"Batch Query"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010266","name":"re3data:r3d100010266","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006460","name":"SciCrunch:RRID:SCR_006460","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.informatics.jax.org/submit.shtml","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000421","bsg-d000421"],"name":"FAIRsharing record for: Mouse Genome Database - a Mouse Genome Informatics (MGI) Resource","abbreviation":"MGI","url":"https://fairsharing.org/10.25504/FAIRsharing.fcwyhz","doi":"10.25504/FAIRsharing.fcwyhz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MGI is the international database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data to facilitate the study of human health and disease. Data includes gene characterization, nomenclature, mapping, gene homologies among mammals, sequence links, phenotypes, allelic variants and mutants, and strain data.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10771},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10947},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11065},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12308},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12658},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16196}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Animal Genetics","Genomics","Biology"],"domains":["Cytogenetic map","Genome map","Gene name","Expression data","Gene Ontology enrichment","Disease process modeling","Mutation","Genetic polymorphism","Phenotype","Disease","Sequence","Single nucleotide polymorphism","Gene","Quantitative trait loci","Homologous","Allele"],"taxonomies":["Mus musculus"],"user_defined_tags":["Chromosomal element nomenclature","COVID-19"],"countries":["United States"],"publications":[{"id":698,"pubmed_id":24285300,"title":"The Mouse Genome Database: integration of and access to knowledge about the laboratory mouse.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1225","authors":"Blake JA, Bult CJ, Eppig JT, Kadin JA, Richardson JE; The Mouse Genome Database Group","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1225","created_at":"2021-09-30T08:23:36.975Z","updated_at":"2021-09-30T11:28:49.050Z"},{"id":716,"pubmed_id":23175610,"title":"The Mouse Genome Database: Genotypes, Phenotypes, and Models of Human Disease","year":2012,"url":"http://doi.org/10.1093/nar/gks1115","authors":"Bult CJ, Eppig JT, Blake JA, Kadin JA, Richardson JE; the Mouse Genome Database Group","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1115","created_at":"2021-09-30T08:23:38.919Z","updated_at":"2021-09-30T08:23:38.919Z"},{"id":931,"pubmed_id":27933520,"title":"Mouse Genome Informatics (MGI): Resources for Mining Mouse Genetic, Genomic, and Biological Data in Support of Primary and Translational Research.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6427-7_3","authors":"Eppig JT, Smith CL, Blake JA, Ringwald M, Kadin JA, Richardson JE, Bult CJ.","journal":"Methods Mol Biol.","doi":"10.1007/978-1-4939-6427-7_3","created_at":"2021-09-30T08:24:02.970Z","updated_at":"2021-09-30T08:24:02.970Z"},{"id":1009,"pubmed_id":28838066,"title":"Mouse Genome Informatics (MGI) Resource: Genetic, Genomic, and Biological Knowledgebase for the Laboratory Mouse.","year":2017,"url":"http://doi.org/10.1093/ilar/ilx013","authors":"Eppig JT","journal":"ILAR J.","doi":"10.1093/ilar/ilx013","created_at":"2021-09-30T08:24:11.721Z","updated_at":"2021-09-30T08:24:11.721Z"},{"id":1042,"pubmed_id":22075990,"title":"The Mouse Genome Database (MGD): comprehensive resource for genetics and genomics of the laboratory mouse","year":2011,"url":"http://doi.org/10.1093/nar/gkr974","authors":"Eppig JT, Blake JA, Bult CJ, Kadin JA, Richardson JE; the Mouse Genome Database Group","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr974","created_at":"2021-09-30T08:24:15.372Z","updated_at":"2021-09-30T08:24:15.372Z"},{"id":1058,"pubmed_id":27899570,"title":"Mouse Genome Database (MGD)-2017: community knowledge resource for the laboratory mouse.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1040","authors":"Blake JA, Eppig JT, Kadin JA, Richardson JE, Smith CL, Bult CJ, and the Mouse Genome Database Group.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw1040","created_at":"2021-09-30T08:24:17.174Z","updated_at":"2021-09-30T08:24:17.174Z"},{"id":1210,"pubmed_id":8091224,"title":"A database for mouse development.","year":1994,"url":"http://doi.org/10.1126/science.8091224","authors":"Ringwald M,Baldock R,Bard J,Kaufman M,Eppig JT,Richardson JE,Nadeau JH,Davidson D","journal":"Science","doi":"10.1126/science.8091224","created_at":"2021-09-30T08:24:34.858Z","updated_at":"2021-09-30T08:24:34.858Z"},{"id":1493,"pubmed_id":15608240,"title":"The Mouse Genome Database (MGD): from genes to mice--a community resource for mouse biology.","year":2004,"url":"http://doi.org/10.1093/nar/gki113","authors":"Eppig JT. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki113","created_at":"2021-09-30T08:25:07.193Z","updated_at":"2021-09-30T08:25:07.193Z"},{"id":2140,"pubmed_id":30335138,"title":"The mouse Gene Expression Database (GXD): 2019 update.","year":2018,"url":"http://doi.org/10.1093/nar/gky922","authors":"Smith CM,Hayamizu TF,Finger JH,Bello SM,McCright IJ,Xu J,Baldarelli RM,Beal JS,Campbell J,Corbani LE,Frost PJ,Lewis JR,Giannatto SC,Miers D,Shaw DR,Kadin JA,Richardson JE,Smith CL,Ringwald M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky922","created_at":"2021-09-30T08:26:21.256Z","updated_at":"2021-09-30T11:29:29.994Z"},{"id":3273,"pubmed_id":30407599,"title":"Mouse Genome Database (MGD) 2019.","year":2019,"url":"https://doi.org/10.1093/nar/gky1056","authors":"Bult CJ, Blake JA, Smith CL, Kadin JA, Richardson JE, Mouse Genome Database Group.","journal":"Nucleic acids research","doi":"10.1093/nar/gky1056","created_at":"2022-03-25T14:51:29.719Z","updated_at":"2022-03-25T14:51:29.719Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3196,"relation":"applies_to_content"},{"licence_name":"MGI Warranty Disclaimer and Copyright Notice","licence_id":511,"licence_url":"http://www.informatics.jax.org/mgihome/other/copyright.shtml","link_id":605,"relation":"applies_to_content"}],"grants":[{"id":1291,"fairsharing_record_id":1955,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:02.015Z","updated_at":"2021-09-30T09:32:06.042Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1290,"fairsharing_record_id":1955,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:01.999Z","updated_at":"2021-09-30T09:25:01.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1956","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:46.838Z","metadata":{"doi":"10.25504/FAIRsharing.2srshy","name":"REFOLDdb","status":"ready","contacts":[{"contact_name":"General Contact - NIG","contact_email":"webmaster@nig.ac.jp"}],"homepage":"https://pford.info/refolddb/","citations":[],"identifier":1956,"description":"REFOLDdb is a resource for the optimization of protein refolding, referring to published methods employed in the refolding of recombinant proteins. It stores a collection of published experimental approaches and records for refolding proteins. It contains data converted from the original REFOLD database that had been created and updated until 2009 by Monash University in Australia, as well as data retrieved from articles on refold technologies published since 2009.","abbreviation":"REFOLDdb","data_curation":{"url":"https://pford.info/refolddb/about.cgi?lang=EN","type":"manual"},"support_links":[{"url":"https://pford.info/refolddb/help.cgi?lang=EN","name":"Help Pages","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://pford.info/refolddb/search.cgi?lang=EN","name":"Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010553","name":"re3data:r3d100010553","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007889","name":"SciCrunch:RRID:SCR_007889","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000422","bsg-d000422"],"name":"FAIRsharing record for: REFOLDdb","abbreviation":"REFOLDdb","url":"https://fairsharing.org/10.25504/FAIRsharing.2srshy","doi":"10.25504/FAIRsharing.2srshy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REFOLDdb is a resource for the optimization of protein refolding, referring to published methods employed in the refolding of recombinant proteins. It stores a collection of published experimental approaches and records for refolding proteins. It contains data converted from the original REFOLD database that had been created and updated until 2009 by Monash University in Australia, as well as data retrieved from articles on refold technologies published since 2009.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Molecular structure","Protein folding","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Japan"],"publications":[{"id":427,"pubmed_id":16381847,"title":"The REFOLD database: a tool for the optimization of protein expression and refolding.","year":2005,"url":"http://doi.org/10.1093/nar/gkj080","authors":"Chow MK., Amin AA., Fulton KF., Fernando T., Kamau L., Batty C., Louca M., Ho S., Whisstock JC., Bottomley SP., Buckle AM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj080","created_at":"2021-09-30T08:23:06.441Z","updated_at":"2021-09-30T08:23:06.441Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1700,"relation":"undefined"}],"grants":[{"id":1292,"fairsharing_record_id":1956,"organisation_id":2019,"relation":"maintains","created_at":"2021-09-30T09:25:02.032Z","updated_at":"2021-09-30T09:25:02.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1293,"fairsharing_record_id":1956,"organisation_id":1892,"relation":"maintains","created_at":"2021-09-30T09:25:02.049Z","updated_at":"2021-09-30T09:25:02.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1892,"name":"Monash University, Melbourne, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1957","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-10T09:32:54.269Z","metadata":{"doi":"10.25504/FAIRsharing.wjzty","name":"Structural Classification Of Proteins","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"scop2@mrc-lmb.cam.ac.uk"}],"homepage":"https://www.ebi.ac.uk/pdbe/scop","citations":[],"identifier":1957,"description":"The SCOP database aims to provide a detailed and comprehensive description of the structural and evolutionary relationships between proteins whose three-dimensional structure is known and deposited in the Protein Data Bank.","abbreviation":"SCOP","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/pdbe/scop/about","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/scop","name":"Scop","type":"TeSS links to training materials"}],"year_creation":1994,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000423","bsg-d000423"],"name":"FAIRsharing record for: Structural Classification Of Proteins","abbreviation":"SCOP","url":"https://fairsharing.org/10.25504/FAIRsharing.wjzty","doi":"10.25504/FAIRsharing.wjzty","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SCOP database aims to provide a detailed and comprehensive description of the structural and evolutionary relationships between proteins whose three-dimensional structure is known and deposited in the Protein Data Bank.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":436,"pubmed_id":9016544,"title":"SCOP: a structural classification of proteins database.","year":1997,"url":"http://doi.org/10.1093/nar/25.1.236","authors":"Hubbard TJ., Murzin AG., Brenner SE., Chothia C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/25.1.236","created_at":"2021-09-30T08:23:07.383Z","updated_at":"2021-09-30T08:23:07.383Z"},{"id":440,"pubmed_id":9847194,"title":"SCOP: a Structural Classification of Proteins database.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.254","authors":"Hubbard TJ., Ailey B., Brenner SE., Murzin AG., Chothia C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/27.1.254","created_at":"2021-09-30T08:23:07.783Z","updated_at":"2021-09-30T08:23:07.783Z"},{"id":452,"pubmed_id":10089491,"title":"SCOP, Structural Classification of Proteins database: applications to evaluation of the effectiveness of sequence alignment methods and statistics of protein structural data.","year":1999,"url":"http://doi.org/10.1107/s0907444998009172","authors":"Hubbard TJ., Ailey B., Brenner SE., Murzin AG., Chothia C.,","journal":"Acta Crystallogr. D Biol. Crystallogr.","doi":"10.1107/s0907444998009172","created_at":"2021-09-30T08:23:09.067Z","updated_at":"2021-09-30T08:23:09.067Z"},{"id":1622,"pubmed_id":10592240,"title":"SCOP: a structural classification of proteins database.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.257","authors":"Lo Conte L., Ailey B., Hubbard TJ., Brenner SE., Murzin AG., Chothia C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.257","created_at":"2021-09-30T08:25:21.769Z","updated_at":"2021-09-30T08:25:21.769Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3651,"relation":"undefined"}],"grants":[{"id":1295,"fairsharing_record_id":1957,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:02.082Z","updated_at":"2021-09-30T09:25:02.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1294,"fairsharing_record_id":1957,"organisation_id":1904,"relation":"maintains","created_at":"2021-09-30T09:25:02.065Z","updated_at":"2021-09-30T09:25:02.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1904,"name":"MRC Laboratory of Molecular Biology (LMB), Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1296,"fairsharing_record_id":1957,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.099Z","updated_at":"2021-09-30T09:25:02.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbkFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a73ab0bd167ea1cddb9a506a0b8a3461acbaa4ac/scop_logo.358e74fa.png?disposition=inline","exhaustive_licences":false}},{"id":"1958","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:27:40.419Z","metadata":{"doi":"10.25504/FAIRsharing.831m3y","name":"Comprehensive Yeast Genome Database","status":"deprecated","contacts":[{"contact_email":"mips-fungi-adm@mips.gsf.de"}],"homepage":"http://mips.gsf.de/genre/proj/yeast/index.jsp","identifier":1958,"description":"A major part of this information gets extracted by manual annotation from the yeast literature, and results of the systematic functional analysis projects as well as cross-references to other in-house or external databases (NCBI, PIR, PEDANT, EMBL) provide complementary material. In addition information and links to related ascomycetous species are added as far as genomic information is available. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"CYGD","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://mips.helmholtz-muenchen.de/genre/proj/yeast/Search/pedantSearch.html","name":"advanced search"},{"url":"http://mips.helmholtz-muenchen.de/genre/proj/yeast/Search/Gise/index.html","name":"browse"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000424","bsg-d000424"],"name":"FAIRsharing record for: Comprehensive Yeast Genome Database","abbreviation":"CYGD","url":"https://fairsharing.org/10.25504/FAIRsharing.831m3y","doi":"10.25504/FAIRsharing.831m3y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A major part of this information gets extracted by manual annotation from the yeast literature, and results of the systematic functional analysis projects as well as cross-references to other in-house or external databases (NCBI, PIR, PEDANT, EMBL) provide complementary material. In addition information and links to related ascomycetous species are added as far as genomic information is available. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":438,"pubmed_id":15608217,"title":"CYGD: the Comprehensive Yeast Genome Database.","year":2004,"url":"http://doi.org/10.1093/nar/gki053","authors":"Güldener U., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki053","created_at":"2021-09-30T08:23:07.585Z","updated_at":"2021-09-30T08:23:07.585Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1065,"relation":"undefined"}],"grants":[{"id":1297,"fairsharing_record_id":1958,"organisation_id":1918,"relation":"maintains","created_at":"2021-09-30T09:25:02.115Z","updated_at":"2021-09-30T09:25:02.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":1918,"name":"Munich Information Center for Protein Sequences (MIPS), Munich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1978","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:21.327Z","metadata":{"doi":"10.25504/FAIRsharing.g7t2hv","name":"Sequence Read Archive","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"sra@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/sra","citations":[],"identifier":1978,"description":"The SRA is NIH's primary archive of high-throughput sequencing data and is part of the International Nucleotide Sequence Database Collaboration (INSDC) that includes at the NCBI Sequence Read Archive (SRA), the European Bioinformatics Institute (EBI), and the DNA Database of Japan (DDBJ). Data submitted to any of the three organizations are shared among them. SRA accepts data from all kinds of sequencing projects including clinically important studies that involve human subjects or their metagenomes, which may contain human sequences. These data often have a controlled access via dbGaP (the database of Genotypes and Phenotypes).","abbreviation":"SRA","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitupdate/","type":"manual/automated"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/books/NBK47528/","name":"SRA Handbook","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/Traces/sra","name":"Overview","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/Traces/sra_sub/sub.cgi","name":"SRA Submissions Tracking and Management","type":"Training documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/","name":"SRA in the Cloud","type":"Other"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sradownload","name":"Download SRA Sequences","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-data-formats/","name":"SRA Data Formats","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitformats/","name":"Data Format Guide","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitmeta/","name":"SRA Metadata Submissions","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitquestions/","name":"SRA FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"no","associated_tools":[{"url":"https://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?view=software","name":"NCBI SRA Toolkit"},{"url":"https://github.com/ncbi/sra-tools/wiki/","name":"SRA Toolkit"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-taxonomy-analysis-tool/","name":"SRA Taxonomy Analysis Tool (STAT)"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-aws-download/#the-sra-toolkit-in-aws","name":"SRA AWS Toolkit"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010775","name":"re3data:r3d100010775","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004891","name":"SciCrunch:RRID:SCR_004891","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://submit.ncbi.nlm.nih.gov/subs/sra/","type":"open","notes":"free login required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000444","bsg-d000444"],"name":"FAIRsharing record for: Sequence Read Archive","abbreviation":"SRA","url":"https://fairsharing.org/10.25504/FAIRsharing.g7t2hv","doi":"10.25504/FAIRsharing.g7t2hv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SRA is NIH's primary archive of high-throughput sequencing data and is part of the International Nucleotide Sequence Database Collaboration (INSDC) that includes at the NCBI Sequence Read Archive (SRA), the European Bioinformatics Institute (EBI), and the DNA Database of Japan (DDBJ). Data submitted to any of the three organizations are shared among them. SRA accepts data from all kinds of sequencing projects including clinically important studies that involve human subjects or their metagenomes, which may contain human sequences. These data often have a controlled access via dbGaP (the database of Genotypes and Phenotypes).","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17567},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10775},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10951},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11068},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11871},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12310},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12666}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Virology","Biology","Epidemiology"],"domains":["Nucleic acid sequence alignment","DNA sequence data","Nucleotide","Sequence alignment","Sequence","Gene","Allele"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":757,"pubmed_id":18045790,"title":"Database resources of the National Center for Biotechnology Information","year":2007,"url":"http://doi.org/10.1093/nar/gkm1000","authors":"Wheeler DL, et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm1000","created_at":"2021-09-30T08:23:43.345Z","updated_at":"2021-09-30T08:23:43.345Z"},{"id":2260,"pubmed_id":22009675,"title":"The Sequence Read Archive: explosive growth of sequencing data.","year":2011,"url":"http://doi.org/10.1093/nar/gkr854","authors":"Kodama Y., Shumway M., Leinonen R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr854","created_at":"2021-09-30T08:26:34.948Z","updated_at":"2021-09-30T08:26:34.948Z"},{"id":2285,"pubmed_id":25960871,"title":"Investigation into the annotation of protocol sequencing steps in the sequence read archive.","year":2015,"url":"http://doi.org/10.1186/s13742-015-0064-7","authors":"Alnasir J,Shanahan HP","journal":"Gigascience","doi":"10.1186/s13742-015-0064-7","created_at":"2021-09-30T08:26:38.444Z","updated_at":"2021-09-30T08:26:38.444Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1453,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1452,"relation":"undefined"}],"grants":[{"id":1341,"fairsharing_record_id":1978,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.249Z","updated_at":"2021-09-30T09:25:03.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1979","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:42:05.706Z","metadata":{"doi":"10.25504/FAIRsharing.13cdzp","name":"Influenza Virus Resource","status":"ready","contacts":[{"contact_name":"Yiming Bao","contact_email":"bao@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genomes/FLU/Database/nph-select.cgi?go=database","identifier":1979,"description":"Influenza Virus Resource presents data obtained from the NIAID Influenza Genome Sequencing Project as well as from GenBank, combined with tools for flu sequence analysis, annotation and submission to GenBank. In addition, it provides links to other resources that contain flu sequences, publications and general information about flu viruses.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"genomes@ncbi.nlm.nih.gov","type":"Support email"},{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"http://www.ncbi.nlm.nih.gov/genomes/FLU/help.html","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/FLU/Database/nph-select.cgi?go=alignment","name":"Align"},{"url":"http://www.ncbi.nlm.nih.gov/genomes/FLU/Database/nph-select.cgi?go=tree","name":"cluster"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011004","name":"re3data:r3d100011004","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002984","name":"SciCrunch:RRID:SCR_002984","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://submit.ncbi.nlm.nih.gov/subs/genbank/","type":"open","notes":"Free registration is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000445","bsg-d000445"],"name":"FAIRsharing record for: Influenza Virus Resource","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.13cdzp","doi":"10.25504/FAIRsharing.13cdzp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Influenza Virus Resource presents data obtained from the NIAID Influenza Genome Sequencing Project as well as from GenBank, combined with tools for flu sequence analysis, annotation and submission to GenBank. In addition, it provides links to other resources that contain flu sequences, publications and general information about flu viruses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":433,"pubmed_id":17942553,"title":"The influenza virus resource at the National Center for Biotechnology Information.","year":2007,"url":"http://doi.org/10.1128/JVI.02005-07","authors":"Bao Y., Bolotov P., Dernovoy D., Kiryutin B., Zaslavsky L., Tatusova T., Ostell J., Lipman D.,","journal":"J. Virol.","doi":"10.1128/JVI.02005-07","created_at":"2021-09-30T08:23:07.074Z","updated_at":"2021-09-30T08:23:07.074Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":920,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":922,"relation":"undefined"}],"grants":[{"id":1342,"fairsharing_record_id":1979,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.276Z","updated_at":"2021-09-30T09:25:03.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1980","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:04:26.034Z","metadata":{"doi":"10.25504/FAIRsharing.sgqf4n","name":"MapViewer","status":"deprecated","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/mapview/","identifier":1980,"description":"The Map Viewer is a tool of Entrez Genomes that provides special browsing capabilities for eukaryotic chromosomes. It allows the user to view and search an organisms complete genome, display chromosome maps, and zoom into progressively greater levels of detail, down to the sequence data for a region of interest.","abbreviation":"MapViewer","data_curation":{"type":"not found"},"support_links":[{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/projects/mapview/static/MapViewerHelp.html#ExercisesTutorials","type":"Training documentation"}],"year_creation":2000,"data_versioning":"not found","deprecation_date":"2021-06-25","deprecation_reason":"As of 2017, this resource has been superceded by the NCBI Genome Data Viewer. For more information, please see https://ncbiinsights.ncbi.nlm.nih.gov/2018/04/25/ncbi-retires-map-viewer-web-interface/","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000446","bsg-d000446"],"name":"FAIRsharing record for: MapViewer","abbreviation":"MapViewer","url":"https://fairsharing.org/10.25504/FAIRsharing.sgqf4n","doi":"10.25504/FAIRsharing.sgqf4n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Map Viewer is a tool of Entrez Genomes that provides special browsing capabilities for eukaryotic chromosomes. It allows the user to view and search an organisms complete genome, display chromosome maps, and zoom into progressively greater levels of detail, down to the sequence data for a region of interest.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["DNA sequence data","Genome visualization","Chromosome","Genome"],"taxonomies":["All","Eukaryota"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2461,"pubmed_id":11125038,"title":"Database resources of the National Center for Biotechnology Information.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.11","authors":"Wheeler DL., Church DM., Lash AE., Leipe DD., Madden TL., Pontius JU., Schuler GD., Schriml LM., Tatusova TA., Wagner L., Rapp BA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.11","created_at":"2021-09-30T08:27:01.844Z","updated_at":"2021-09-30T08:27:01.844Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1185,"relation":"undefined"}],"grants":[{"id":1343,"fairsharing_record_id":1980,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.330Z","updated_at":"2021-09-30T09:25:03.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1344,"fairsharing_record_id":1980,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.389Z","updated_at":"2021-09-30T09:25:03.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1969","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:51:22.651Z","metadata":{"doi":"10.25504/FAIRsharing.v9fya8","name":"Expressed Sequence Tags database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genbank/dbest/","citations":[],"identifier":1969,"description":"dbEST is a division of GenBank that contains sequence data and other information on \"single-pass\" cDNA sequences, or \"Expressed Sequence Tags\", from a number of organisms. ","abbreviation":"dbEST","data_curation":{"type":"not found"},"year_creation":1992,"data_versioning":"no","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/genbank/dbest/dbest_access/","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010648","name":"re3data:r3d100010648","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_016578","name":"SciCrunch:RRID:SCR_016578","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/genbank/dbest/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000435","bsg-d000435"],"name":"FAIRsharing record for: Expressed Sequence Tags database","abbreviation":"dbEST","url":"https://fairsharing.org/10.25504/FAIRsharing.v9fya8","doi":"10.25504/FAIRsharing.v9fya8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbEST is a division of GenBank that contains sequence data and other information on \"single-pass\" cDNA sequences, or \"Expressed Sequence Tags\", from a number of organisms. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12661}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Life Science"],"domains":["Expression data","Deoxyribonucleic acid","DNA sequencing assay","Complementary DNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":450,"pubmed_id":8401577,"title":"dbEST--database for \"expressed sequence tags\".","year":1993,"url":"http://doi.org/10.1038/ng0893-332","authors":"Boguski MS., Lowe TM., Tolstoshev CM.,","journal":"Nat. Genet.","doi":"10.1038/ng0893-332","created_at":"2021-09-30T08:23:08.858Z","updated_at":"2021-09-30T08:23:08.858Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1234,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1237,"relation":"undefined"}],"grants":[{"id":1323,"fairsharing_record_id":1969,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.594Z","updated_at":"2021-09-30T09:25:02.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1324,"fairsharing_record_id":1969,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.618Z","updated_at":"2021-09-30T09:25:02.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1970","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.531Z","metadata":{"doi":"10.25504/FAIRsharing.r90425","name":"dbMHC","status":"deprecated","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/mhc/","identifier":1970,"description":"dbMHC provides access to HLA sequences, tools to support genetic testing of HLA loci, HLA allele and haplotype frequencies of over 90 populations worldwide, as well as clinical datasets on nematopoietic stem cell transplantation, and insulin dependant diabetes mellitus (IDDM), Rheumatoid Arthritis (RA), Narcolepsy and Spondyloarthropathy. All clinical datasets housed at the dbMHC provide access to genotypic and phenotypic data on anonimyzed samples with aggregate query functions, and complete download capability.","abbreviation":"dbMHC","data_curation":{"type":"not found"},"support_links":[{"url":"dbMHC@ncbi.nlm.nih.gov","type":"Support email"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK21080/","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/projects/gv/mhc/align.fcgi?cmd=aligndisplay\u0026user_id=0\u0026probe_id=0\u0026source_id=0\u0026locus_id=0\u0026locus_group=1\u0026proto_id=0\u0026kit_id=0\u0026banner=1","name":"align"}],"deprecation_date":"2021-06-24","deprecation_reason":"The database is no longer available. Message on the homepage: \"The dbMHC database was an open, publicly accessible platform for DNA and clinical data related to the human Major Histocompatibility Complex (MHC). Data from IHWG workshops were provided as well. Data previously on the site are now available at ftp://ftp.ncbi.nlm.nih.gov/pub/mhc/mhc/Final Archive. If you have any specific questions, please feel free to contact us at info@ncbi.nlm.nih.gov.\"","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000436","bsg-d000436"],"name":"FAIRsharing record for: dbMHC","abbreviation":"dbMHC","url":"https://fairsharing.org/10.25504/FAIRsharing.r90425","doi":"10.25504/FAIRsharing.r90425","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbMHC provides access to HLA sequences, tools to support genetic testing of HLA loci, HLA allele and haplotype frequencies of over 90 populations worldwide, as well as clinical datasets on nematopoietic stem cell transplantation, and insulin dependant diabetes mellitus (IDDM), Rheumatoid Arthritis (RA), Narcolepsy and Spondyloarthropathy. All clinical datasets housed at the dbMHC provide access to genotypic and phenotypic data on anonimyzed samples with aggregate query functions, and complete download capability.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12662}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Deoxyribonucleic acid","Human leukocyte antigen complex"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1844,"relation":"undefined"}],"grants":[{"id":1325,"fairsharing_record_id":1970,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.647Z","updated_at":"2021-09-30T09:25:02.647Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1971","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:13:41.283Z","metadata":{"doi":"10.25504/FAIRsharing.64bk6p","name":"NCBI Probe Database","status":"deprecated","contacts":[{"contact_email":"probe-admin@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/probe","identifier":1971,"description":"The NCBI Probe Database is a public registry of nucleic acid reagents designed for use in a wide variety of biomedical research applications, together with information on reagent distributors, probe effectiveness, and computed sequence similarities.","abbreviation":"ProbeDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/projects/genome/probe/doc/Overview.shtml","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/probe/docs/","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/probe/docs/querytips/","type":"Training documentation"},{"url":"http://www.ncbi.nlm.nih.gov/probe/docs/glossary/","type":"Training documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/projects/genome/probe/doc/Submitting.shtml","name":"submit"},{"url":"http://www.ncbi.nlm.nih.gov/projects/linkout/","name":"LinkOut"},{"url":"http://www.ncbi.nlm.nih.gov/tools/epcr/","name":"ePCR"},{"url":"http://www.ncbi.nlm.nih.gov/tools/primer-blast/index.cgi","name":"Primer-Blast"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010780","name":"re3data:r3d100010780","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004816","name":"SciCrunch:RRID:SCR_004816","portal":"SciCrunch"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available from April 2020. The data can still be retrieved from their FTP servers. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000437","bsg-d000437"],"name":"FAIRsharing record for: NCBI Probe Database","abbreviation":"ProbeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.64bk6p","doi":"10.25504/FAIRsharing.64bk6p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCBI Probe Database is a public registry of nucleic acid reagents designed for use in a wide variety of biomedical research applications, together with information on reagent distributors, probe effectiveness, and computed sequence similarities.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12663}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Polymerase chain reaction primers","Expression data","Oligonucleotide probe annotation","Nucleotide","Genetic polymorphism"],"taxonomies":["All"],"user_defined_tags":["Mapping information and coding potential"],"countries":["United States"],"publications":[{"id":453,"pubmed_id":23193264,"title":"Database resources of the National Center for Biotechnology Information.","year":2012,"url":"http://doi.org/10.1093/nar/gks1189","authors":"NCBI Resource Coordinators","journal":"Nucleic Acids Res.","doi":"23193264","created_at":"2021-09-30T08:23:09.175Z","updated_at":"2021-09-30T08:23:09.175Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2337,"relation":"undefined"}],"grants":[{"id":1326,"fairsharing_record_id":1971,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.690Z","updated_at":"2021-09-30T09:25:02.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1967","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:21:41.039Z","metadata":{"doi":"10.25504/FAIRsharing.b9st5p","name":"Conserved Domain Database","status":"ready","contacts":[{"contact_name":"Aron Marchler-Bauer","contact_email":"bauer@ncbi.nlm.nih.gov","contact_orcid":"0000-0003-1516-0712"}],"homepage":"https://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml","citations":[{"doi":"10.1093/nar/gkac1096","pubmed_id":null,"publication_id":3857}],"identifier":1967,"description":"The Conserved Domain Database (CDD) brings together several collections of multiple sequence alignments representing conserved domains, including NCBI-curated domains, which use 3D-structure information to explicitly to define domain boundaries and provide insights into sequence/structure/function relationships, as well as domain models imported from a number of external source databases (Pfam, SMART, COG, NCBI Protein Clusters, TIGRFAM, NCBIfam). NCBI-curated models are organized hierarchically into families, sub- and super-families, and come with annotation of functional sites.","abbreviation":"CDD","data_curation":{"url":"https://doi.org/10.1093/nar/gkac1096","type":"manual"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/Structure/cdd/docs/cdd_news.html","name":"News","type":"Blog/News"},{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/cdd/cdd_help.shtml","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/Structure/cdtree/cdtree.shtml","name":"CDTree (domain hierarchy editor) 3.1"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/CN3D/cn3d.shtml","name":"Cn3D (structure viewer and alignment editor) 4.3.1"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi","name":"CD-Search (domain annotation for a single sequence)"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi","name":"BATCH CD-Search (domain annotation for a set of sequences)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010653","name":"re3data:r3d100010653","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002077","name":"SciCrunch:RRID:SCR_002077","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000433","bsg-d000433"],"name":"FAIRsharing record for: Conserved Domain Database","abbreviation":"CDD","url":"https://fairsharing.org/10.25504/FAIRsharing.b9st5p","doi":"10.25504/FAIRsharing.b9st5p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Conserved Domain Database (CDD) brings together several collections of multiple sequence alignments representing conserved domains, including NCBI-curated domains, which use 3D-structure information to explicitly to define domain boundaries and provide insights into sequence/structure/function relationships, as well as domain models imported from a number of external source databases (Pfam, SMART, COG, NCBI Protein Clusters, TIGRFAM, NCBIfam). NCBI-curated models are organized hierarchically into families, sub- and super-families, and come with annotation of functional sites.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12660}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Functional domain","Molecular structure","Protein structure","Protein domain","Annotation","Multiple sequence alignment","Sequence alignment","Structure","Protein","Sequence feature","Literature curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":266,"pubmed_id":18984618,"title":"CDD: specific functional annotation with the Conserved Domain Database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn845","authors":"Marchler-Bauer A., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn845","created_at":"2021-09-30T08:22:48.765Z","updated_at":"2021-09-30T08:22:48.765Z"},{"id":488,"pubmed_id":27899674,"title":"CDD/SPARCLE: functional classification of proteins via subfamily domain architectures.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1129","authors":"Marchler-Bauer A,Bo Y,Han L,He J,Lanczycki CJ,Lu S,Chitsaz F,Derbyshire MK,Geer RC,Gonzales NR,Gwadz M,Hurwitz DI,Lu F,Marchler GH,Song JS,Thanki N,Wang Z,Yamashita RA,Zhang D,Zheng C,Geer LY,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1129","created_at":"2021-09-30T08:23:13.073Z","updated_at":"2021-09-30T11:28:46.793Z"},{"id":779,"pubmed_id":23197659,"title":"CDD: conserved domains and protein three-dimensional structure","year":2012,"url":"http://doi.org/10.1093/nar/gks1243","authors":"Marchler-Bauer A., Zheng C., Chitsaz F., Derbyshire MK., Geer LY., Geer RC., Gonzales NR., Gwadz M., Hurwitz DI., Lanczycki CJ., Lu F., Lu S., Marchler GH., Song JS., Thanki N., Yamashita RA., Zhang D., Bryant SH.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1243","created_at":"2021-09-30T08:23:45.837Z","updated_at":"2021-09-30T08:23:45.837Z"},{"id":1056,"pubmed_id":25414356,"title":"CDD: NCBI's conserved domain database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1221","authors":"Marchler-Bauer A, Derbyshire MK, Gonzales NR, Lu S, Chitsaz F, Geer LY, Geer RC, He J, Gwadz M, Hurwitz DI, Lanczycki CJ, Lu F, Marchler GH, Song JS, Thanki N, Wang Z, Yamashita RA, Zhang D, Zheng C, Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1221","created_at":"2021-09-30T08:24:16.947Z","updated_at":"2021-09-30T08:24:16.947Z"},{"id":3857,"pubmed_id":null,"title":"The conserved domain database in 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1096","authors":"Wang, Jiyao; Chitsaz, Farideh; Derbyshire, Myra K; Gonzales, Noreen R; Gwadz, Marc; Lu, Shennan; Marchler, Gabriele H; Song, James S; Thanki, Narmada; Yamashita, Roxanne A; Yang, Mingzhang; Zhang, Dachuan; Zheng, Chanjuan; Lanczycki, Christopher J; Marchler-Bauer, Aron; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1096","created_at":"2023-05-02T18:29:43.040Z","updated_at":"2023-05-02T18:29:43.040Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":271,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":272,"relation":"undefined"}],"grants":[{"id":1320,"fairsharing_record_id":1967,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.508Z","updated_at":"2021-09-30T09:25:02.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9162,"fairsharing_record_id":1967,"organisation_id":2045,"relation":"funds","created_at":"2022-04-11T12:07:18.576Z","updated_at":"2022-04-11T12:07:18.576Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1968","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:12.309Z","metadata":{"doi":"10.25504/FAIRsharing.djsbw2","name":"Clusters of Orthologous Groups of Proteins: Phylogenetic classification of proteins encoded in complete genomes","status":"ready","contacts":[{"contact_name":"Eugene V Koonin","contact_email":"koonin@ncbi.nlm.nih.gov","contact_orcid":"0000-0003-3943-8299"}],"homepage":"https://www.ncbi.nlm.nih.gov/research/cog/","citations":[],"identifier":1968,"description":"Clusters of Orthologous Groups of proteins (COGs) were delineated by comparing protein sequences encoded in complete genomes, representing major phylogenetic lineages. Each COG consists of individual proteins or groups of paralogs from at least 3 lineages and thus corresponds to an ancient conserved domain.","abbreviation":"COG","data_curation":{"type":"not found"},"year_creation":1996,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000434","bsg-d000434"],"name":"FAIRsharing record for: Clusters of Orthologous Groups of Proteins: Phylogenetic classification of proteins encoded in complete genomes","abbreviation":"COG","url":"https://fairsharing.org/10.25504/FAIRsharing.djsbw2","doi":"10.25504/FAIRsharing.djsbw2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Clusters of Orthologous Groups of proteins (COGs) were delineated by comparing protein sequences encoded in complete genomes, representing major phylogenetic lineages. Each COG consists of individual proteins or groups of paralogs from at least 3 lineages and thus corresponds to an ancient conserved domain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":434,"pubmed_id":9381173,"title":"A genomic perspective on protein families.","year":1997,"url":"http://doi.org/10.1126/science.278.5338.631","authors":"Tatusov RL., Koonin EV., Lipman DJ.,","journal":"Science","doi":"10.1126/science.278.5338.631","created_at":"2021-09-30T08:23:07.176Z","updated_at":"2021-09-30T08:23:07.176Z"},{"id":912,"pubmed_id":25428365,"title":"Expanded microbial genome coverage and improved protein family annotation in the COG database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1223","authors":"Galperin MY,Makarova KS,Wolf YI,Koonin EV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1223","created_at":"2021-09-30T08:24:00.719Z","updated_at":"2021-09-30T11:28:55.268Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1506,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1509,"relation":"undefined"}],"grants":[{"id":1322,"fairsharing_record_id":1968,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.562Z","updated_at":"2021-09-30T09:25:02.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1981","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:15:12.453Z","metadata":{"doi":"10.25504/FAIRsharing.zqzvyc","name":"NCBI Structure","status":"ready","contacts":[{"contact_name":"Thomas Madej","contact_email":"madej@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/structure","citations":[],"identifier":1981,"description":"NCBI Structure, as part of the Entrez system, facilitates access to structure data by connecting them with associated literature, protein and nucleic acid sequences, chemicals, biomolecular interactions, and more.\nNote that this resource was also known as Molecular Modeling Database (MMDB).","abbreviation":null,"data_curation":{"url":"https://www.ncbi.nlm.nih.gov/Structure/MMDB/docs/mmdb_help.html","type":"manual/automated"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd_help.shtml","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/structure","name":"Entrez structure search"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/CN3D/cn3d.shtml","name":"Cn3D structure viewer 4.3.1"},{"url":"http://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins\u0026PROGRAM=blastp\u0026BLAST_PROGRAMS=blastp\u0026PAGE_TYPE=BlastSearch\u0026DATABASE=pdb","name":"BLAST"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/VAST/vastsearch.html","name":"VAST Search for Similar Structures"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/vastplus/vastplus.cgi","name":"VAST+ similar structure assemblies"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/icn3d/","name":"iCn3D - WebGL-based 3D structure viewer 2.24.7"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010779","name":"re3data:r3d100010779","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004218","name":"SciCrunch:RRID:SCR_004218","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/Structure/MMDB/docs/mmdb_help.html","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/Structure/MMDB/docs/mmdb_help.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000447","bsg-d000447"],"name":"FAIRsharing record for: NCBI Structure","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zqzvyc","doi":"10.25504/FAIRsharing.zqzvyc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NCBI Structure, as part of the Entrez system, facilitates access to structure data by connecting them with associated literature, protein and nucleic acid sequences, chemicals, biomolecular interactions, and more.\nNote that this resource was also known as Molecular Modeling Database (MMDB).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Modeling and simulation","Molecular interaction","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":179,"pubmed_id":24319143,"title":"MMDB and VAST+: tracking structural similarities between macromolecular complexes.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1208","authors":"Madej T,Lanczycki CJ,Zhang D,Thiessen PA,Geer RC,Marchler-Bauer A,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1208","created_at":"2021-09-30T08:22:39.578Z","updated_at":"2021-09-30T11:28:43.658Z"},{"id":1504,"pubmed_id":17135201,"title":"MMDB: annotating protein sequences with Entrez's 3D-structure database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl952","authors":"Wang Y., Addess KJ., Chen J., Geer LY., He J., He S., Lu S., Madej T., Marchler-Bauer A., Thiessen PA., Zhang N., Bryant SH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl952","created_at":"2021-09-30T08:25:08.378Z","updated_at":"2021-09-30T08:25:08.378Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":142,"relation":"undefined"}],"grants":[{"id":1345,"fairsharing_record_id":1981,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.420Z","updated_at":"2021-09-30T09:25:03.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1982","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:32.726Z","metadata":{"doi":"10.25504/FAIRsharing.rtndct","name":"The Protein Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/protein","citations":[],"identifier":1982,"description":"The Protein database is a collection of sequences from several sources, including translations from annotated coding regions in GenBank, RefSeq and TPA, as well as records from UniProt/SwissProt, PIR, PRF, and PDB. Protein sequences are the fundamental determinants of biological structure and function.","abbreviation":"Protein","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/books/NBK49541/#NucProtFAQ.1_why_are_there_records_that","type":"manual/automated","notes":"RefSeqs are curated from single or multiple sequence records"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/books/NBK49541/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK44863/","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"https://blast.ncbi.nlm.nih.gov/Blast.cgi","name":"BLAST"},{"url":"https://www.ncbi.nlm.nih.gov/entrez/linkout","name":"LinkOut"},{"url":"https://www.ncbi.nlm.nih.gov/sites/batchentrez","name":"Batch Entrez"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010776","name":"re3data:r3d100010776","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003257","name":"SciCrunch:RRID:SCR_003257","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.nlm.nih.gov/web_policies.html#copyright","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/books/NBK49541/#NucProtFAQ.8_what_are_the_sources_of_the","type":"controlled","notes":"The Protein database is a collection of sequences from several sources"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000448","bsg-d000448"],"name":"FAIRsharing record for: The Protein Database","abbreviation":"Protein","url":"https://fairsharing.org/10.25504/FAIRsharing.rtndct","doi":"10.25504/FAIRsharing.rtndct","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein database is a collection of sequences from several sources, including translations from annotated coding regions in GenBank, RefSeq and TPA, as well as records from UniProt/SwissProt, PIR, PRF, and PDB. Protein sequences are the fundamental determinants of biological structure and function.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology","Translational Medicine"],"domains":["Annotation","Gene functional annotation","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":453,"pubmed_id":23193264,"title":"Database resources of the National Center for Biotechnology Information.","year":2012,"url":"http://doi.org/10.1093/nar/gks1189","authors":"NCBI Resource Coordinators","journal":"Nucleic Acids Res.","doi":"23193264","created_at":"2021-09-30T08:23:09.175Z","updated_at":"2021-09-30T08:23:09.175Z"},{"id":1080,"pubmed_id":26615191,"title":"Database resources of the National Center for Biotechnology Information.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1290","authors":"NCBI Resource Coordinators","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1290","created_at":"2021-09-30T08:24:19.637Z","updated_at":"2021-09-30T11:28:57.992Z"}],"licence_links":[{"licence_name":"NLM Copyright Information","licence_id":592,"licence_url":"https://www.nlm.nih.gov/web_policies.html#copyright","link_id":2785,"relation":"applies_to_content"}],"grants":[{"id":1346,"fairsharing_record_id":1982,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.479Z","updated_at":"2022-08-02T14:46:06.875Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1972","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:47.354Z","metadata":{"doi":"10.25504/FAIRsharing.edxb58","name":"Database of Single Nucleotide Polymorphism","status":"ready","contacts":[{"contact_name":"dbSNP Admin","contact_email":"snp-admin@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/snp/","citations":[],"identifier":1972,"description":"dbSNP contains human single nucleotide variations, microsatellites, and small-scale insertions and deletions along with publication, population frequency, molecular consequence, and genomic and RefSeq mapping information for both common variations and clinical mutations.","abbreviation":"dbSNP","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/snp/docs/RefSNP_about/","type":"manual/automated"},"support_links":[{"url":"https://ncbiinsights.ncbi.nlm.nih.gov/tag/dbsnp/","name":"NCBI Insights","type":"Blog/News"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3848/","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/mailman/listinfo/dbsnp-announce","name":"dbsnp-announce","type":"Mailing list"},{"url":"https://github.com/ncbi/dbsnp/tree/master/tutorials","name":"Online tutorials","type":"Github"}],"year_creation":1998,"data_versioning":"yes","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/snp/docs/submission/hts_launch_and_introductory_material","name":"Submission"},{"url":"https://api.ncbi.nlm.nih.gov/variation/v0/","name":"Variation Service"},{"url":"https://www.ncbi.nlm.nih.gov/variation/view","name":"Variation Viewer"},{"url":"ftp://ftp.ncbi.nlm.nih.gov/snp/","name":"FTP"},{"url":"http://www.ncbi.nlm.nih.gov/snp","name":"Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010652","name":"re3data:r3d100010652","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002338","name":"SciCrunch:RRID:SCR_002338","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/snp/docs/submission/hts_launch_and_introductory_material/","type":"open","notes":"Only human SNPs are accepted."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000438","bsg-d000438"],"name":"FAIRsharing record for: Database of Single Nucleotide Polymorphism","abbreviation":"dbSNP","url":"https://fairsharing.org/10.25504/FAIRsharing.edxb58","doi":"10.25504/FAIRsharing.edxb58","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbSNP contains human single nucleotide variations, microsatellites, and small-scale insertions and deletions along with publication, population frequency, molecular consequence, and genomic and RefSeq mapping information for both common variations and clinical mutations.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10773},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10949},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11010},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11066}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic polymorphism","Single nucleotide polymorphism","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":435,"pubmed_id":11125122,"title":"dbSNP: the NCBI database of genetic variation.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.308","authors":"Sherry ST., Ward MH., Kholodov M., Baker J., Phan L., Smigielski EM., Sirotkin K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.308","created_at":"2021-09-30T08:23:07.283Z","updated_at":"2021-09-30T08:23:07.283Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":217,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":218,"relation":"undefined"}],"grants":[{"id":1327,"fairsharing_record_id":1972,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.732Z","updated_at":"2021-09-30T09:25:02.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1328,"fairsharing_record_id":1972,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.774Z","updated_at":"2021-09-30T09:25:02.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1973","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-12-06T10:49:22.296Z","metadata":{"doi":"10.25504/FAIRsharing.wk5azf","name":"Database of Sequence Tagged Sites","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/dbSTS/index.html","identifier":1973,"description":"dbSTS is an NCBI resource that contains sequence data for short genomic landmark sequences or Sequence Tagged Sites.","abbreviation":"dbSTS","data_curation":{"type":"not found"},"year_creation":1988,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010649","name":"re3data:r3d100010649","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000400","name":"SciCrunch:RRID:SCR_000400","portal":"SciCrunch"}],"deprecation_date":"2021-9-23","deprecation_reason":"This resource has been incorporated into Genbank, and all data can be searched and submitted via that resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000439","bsg-d000439"],"name":"FAIRsharing record for: Database of Sequence Tagged Sites","abbreviation":"dbSTS","url":"https://fairsharing.org/10.25504/FAIRsharing.wk5azf","doi":"10.25504/FAIRsharing.wk5azf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbSTS is an NCBI resource that contains sequence data for short genomic landmark sequences or Sequence Tagged Sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Nucleic acid sequence","DNA sequence data","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1,"pubmed_id":2781285,"title":"A common language for physical mapping of the human genome.","year":1989,"url":"http://doi.org/10.1126/science.2781285","authors":"Olson M,Hood L,Cantor C,Botstein D","journal":"Science","doi":"10.1126/science.2781285","created_at":"2021-09-30T08:22:20.699Z","updated_at":"2021-09-30T08:22:20.699Z"},{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1270,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1274,"relation":"undefined"}],"grants":[{"id":1329,"fairsharing_record_id":1973,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.816Z","updated_at":"2021-09-30T09:25:02.816Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1330,"fairsharing_record_id":1973,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.853Z","updated_at":"2021-09-30T09:25:02.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1959","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:25.961Z","metadata":{"doi":"10.25504/FAIRsharing.ncgh1j","name":"Pathway Interaction Database","status":"deprecated","contacts":[{"contact_name":"Carl F. Schaefer","contact_email":"schaefec@mail.nih.gov"}],"homepage":"http://pid.nci.nih.gov/","identifier":1959,"description":"The Pathway Interaction Database is a highly-structured, curated collection of information about known biomolecular interactions and key cellular processes assembled into signaling pathways.","abbreviation":"PID","data_curation":{"type":"not found"},"support_links":[{"url":"ncicb@pop.nci.nih.go","type":"Support email"}],"year_creation":2008,"data_versioning":"not found","deprecation_date":"2019-01-13","deprecation_reason":"The NCI PID data portal has been retired. Please see https://wiki.nci.nih.gov/pages/viewpage.action?pageId=315491760 for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000425","bsg-d000425"],"name":"FAIRsharing record for: Pathway Interaction Database","abbreviation":"PID","url":"https://fairsharing.org/10.25504/FAIRsharing.ncgh1j","doi":"10.25504/FAIRsharing.ncgh1j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pathway Interaction Database is a highly-structured, curated collection of information about known biomolecular interactions and key cellular processes assembled into signaling pathways.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Signaling","Molecular interaction","Small molecule","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":429,"pubmed_id":18832364,"title":"PID: the Pathway Interaction Database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn653","authors":"Schaefer CF., Anthony K., Krupa S., Buchoff J., Day M., Hannay T., Buetow KH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn653","created_at":"2021-09-30T08:23:06.658Z","updated_at":"2021-09-30T08:23:06.658Z"}],"licence_links":[],"grants":[{"id":1298,"fairsharing_record_id":1959,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:25:02.132Z","updated_at":"2021-09-30T09:25:02.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1960","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T07:53:24.628Z","metadata":{"doi":"10.25504/FAIRsharing.gdqqm0","name":"caArray","status":"deprecated","contacts":[],"homepage":"https://array.nci.nih.gov/caarray/home.action","citations":[],"identifier":1960,"description":"The Cancer gene expression and microarray data of the National Cancer Institute","abbreviation":"caArray","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2015-07-07","deprecation_reason":"This resource is obsolete and no longer maintained. Data available via GEO (https://www.biosharing.org/biodbcore-000441). See https://wiki.nci.nih.gov/display/caArray2/caArray+Retirement+Announcement for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000426","bsg-d000426"],"name":"FAIRsharing record for: caArray","abbreviation":"caArray","url":"https://fairsharing.org/10.25504/FAIRsharing.gdqqm0","doi":"10.25504/FAIRsharing.gdqqm0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer gene expression and microarray data of the National Cancer Institute","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Expression data"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":506,"relation":"undefined"}],"grants":[{"id":1299,"fairsharing_record_id":1960,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:25:02.149Z","updated_at":"2021-09-30T09:25:02.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1984","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:37.830Z","metadata":{"doi":"10.25504/FAIRsharing.qt5ky7","name":"NCBI Viral Genomes Resource","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"genomes@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genome/viruses/","citations":[{"doi":"10.1093/nar/gku1207","pubmed_id":25428358,"publication_id":1516}],"identifier":1984,"description":"NCBI Virus is an integrative, value-added resource designed to support retrieval, display and analysis of a curated collection of virus sequences and large sequence datasets. We are a community portal for viral sequence data, and our goal is to increase the usability of data archived in GenBank and other NCBI repositories.\n\nNCBI Viral Genomes Resource is a collection of virus genomic sequences that provides curated sequence data, related information and tools. It includes all complete viral genome sequences deposited in the International Nucleotide Sequence Database Collaboration (INSDC) databases, i.e. DDBJ, EMBL, and GenBank. Data are organized by viral taxonomy, and reference sequence records (RefSeqs) from one or more genome sequences for each viral species. After a RefSeq has been created for a species, other complete genomes from that same species are indexed as neighbors to the RefSeq.","abbreviation":"NCBI Virus","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/genome/viruses/about/HowTo/#refseq_curation_and_content","type":"manual","notes":"The content and curation of viral reference sequences"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/genome/viruses/about/HowTo/","name":"User Guide","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genome/viruses/about/","name":"Overview","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000450","bsg-d000450"],"name":"FAIRsharing record for: NCBI Viral Genomes Resource","abbreviation":"NCBI Virus","url":"https://fairsharing.org/10.25504/FAIRsharing.qt5ky7","doi":"10.25504/FAIRsharing.qt5ky7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NCBI Virus is an integrative, value-added resource designed to support retrieval, display and analysis of a curated collection of virus sequences and large sequence datasets. We are a community portal for viral sequence data, and our goal is to increase the usability of data archived in GenBank and other NCBI repositories.\n\nNCBI Viral Genomes Resource is a collection of virus genomic sequences that provides curated sequence data, related information and tools. It includes all complete viral genome sequences deposited in the International Nucleotide Sequence Database Collaboration (INSDC) databases, i.e. DDBJ, EMBL, and GenBank. Data are organized by viral taxonomy, and reference sequence records (RefSeqs) from one or more genome sequences for each viral species. After a RefSeq has been created for a species, other complete genomes from that same species are indexed as neighbors to the RefSeq.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12667}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Virology"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Viral genome","Genome"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1516,"pubmed_id":25428358,"title":"NCBI viral genomes resource.","year":2014,"url":"http://doi.org/10.1093/nar/gku1207","authors":"Brister JR,Ako-Adjei D,Bao Y,Blinkova O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1207","created_at":"2021-09-30T08:25:09.665Z","updated_at":"2021-09-30T11:29:11.834Z"},{"id":3416,"pubmed_id":null,"title":"Virus Variation Resource – improved response to emergent viral outbreaks","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkw1065","authors":"Hatcher, Eneida L.; Zhdanov, Sergey A.; Bao, Yiming; Blinkova, Olga; Nawrocki, Eric P.; Ostapchuck, Yuri; Schäffer, Alejandro A.; Brister, J. Rodney; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1065","created_at":"2022-06-01T01:16:24.308Z","updated_at":"2022-06-01T01:16:24.308Z"},{"id":3417,"pubmed_id":null,"title":"Minimum Information about an Uncultivated Virus Genome (MIUViG)","year":2018,"url":"http://dx.doi.org/10.1038/nbt.4306","authors":"Roux, Simon; Adriaenssens, Evelien M; Dutilh, Bas E; Koonin, Eugene V; Kropinski, Andrew M; Krupovic, Mart; Kuhn, Jens H; Lavigne, Rob; Brister, J Rodney; Varsani, Arvind; Amid, Clara; Aziz, Ramy K; Bordenstein, Seth R; Bork, Peer; Breitbart, Mya; Cochrane, Guy R; Daly, Rebecca A; Desnues, Christelle; Duhaime, Melissa B; Emerson, Joanne B; Enault, François; Fuhrman, Jed A; Hingamp, Pascal; Hugenholtz, Philip; Hurwitz, Bonnie L; Ivanova, Natalia N; Labonté, Jessica M; Lee, Kyung-Bum; Malmstrom, Rex R; Martinez-Garcia, Manuel; Mizrachi, Ilene Karsch; Ogata, Hiroyuki; Páez-Espino, David; Petit, Marie-Agnès; Putonti, Catherine; Rattei, Thomas; Reyes, Alejandro; Rodriguez-Valera, Francisco; Rosario, Karyna; Schriml, Lynn; Schulz, Frederik; Steward, Grieg F; Sullivan, Matthew B; Sunagawa, Shinichi; Suttle, Curtis A; Temperton, Ben; Tringe, Susannah G; Thurber, Rebecca Vega; Webster, Nicole S; Whiteson, Katrine L; Wilhelm, Steven W; Wommack, K Eric; Woyke, Tanja; Wrighton, Kelly C; Yilmaz, Pelin; Yoshida, Takashi; Young, Mark J; Yutin, Natalya; Allen, Lisa Zeigler; Kyrpides, Nikos C; Eloe-Fadrosh, Emiley A; ","journal":"Nat Biotechnol","doi":"10.1038/nbt.4306","created_at":"2022-06-01T01:17:46.666Z","updated_at":"2022-06-01T01:17:46.666Z"},{"id":3418,"pubmed_id":null,"title":"Overlapping genes and the proteins they encode differ significantly in their sequence composition from non-overlapping genes","year":2018,"url":"http://dx.doi.org/10.1371/journal.pone.0202513","authors":"Pavesi, Angelo; Vianelli, Alberto; Chirico, Nicola; Bao, Yiming; Blinkova, Olga; Belshaw, Robert; Firth, Andrew; Karlin, David; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0202513","created_at":"2022-06-01T02:05:46.663Z","updated_at":"2022-06-01T02:05:46.663Z"},{"id":3419,"pubmed_id":null,"title":"How to Name and Classify Your Phage: An Informal Guide","year":2017,"url":"http://dx.doi.org/10.3390/v9040070","authors":"Adriaenssens, Evelien; Brister, J. Rodney; ","journal":"Viruses","doi":"10.3390/v9040070","created_at":"2022-06-01T02:08:05.970Z","updated_at":"2022-06-01T02:08:05.970Z"},{"id":3420,"pubmed_id":null,"title":"Virus taxonomy in the age of metagenomics","year":2017,"url":"http://dx.doi.org/10.1038/nrmicro.2016.177","authors":"Simmonds, Peter; Adams, Mike J.; Benkő, Mária; Breitbart, Mya; Brister, J. Rodney; Carstens, Eric B.; Davison, Andrew J.; Delwart, Eric; Gorbalenya, Alexander E.; Harrach, Balázs; Hull, Roger; King, Andrew M.Q.; Koonin, Eugene V.; Krupovic, Mart; Kuhn, Jens H.; Lefkowitz, Elliot J.; Nibert, Max L.; Orton, Richard; Roossinck, Marilyn J.; Sabanadzovic, Sead; Sullivan, Matthew B.; Suttle, Curtis A.; Tesh, Robert B.; van der Vlugt, René A.; Varsani, Arvind; Zerbini, F. Murilo; ","journal":"Nat Rev Microbiol","doi":"10.1038/nrmicro.2016.177","created_at":"2022-06-01T02:08:32.422Z","updated_at":"2022-06-01T02:08:32.422Z"},{"id":3421,"pubmed_id":null,"title":"NCBI will no longer make taxonomy identifiers for individual influenza strains on January 15, 2018","year":2018,"url":"http://dx.doi.org/10.7287/peerj.preprints.3428v1","authors":"Hatcher, Eneida; Bao, Yiming; Amedeo, Paolo; Blinkova, Olga; Cochrane, Guy; Fedorova, Nadia; Gruner, William; Leipe, Detlef; Nakamura, Yasukazu; Ostapchuk, Yuri; Palanigobu, Vasuki; Sanders, Robert; Schoch, Conrad; Smith, Catherine; Wentworth, David; Yankie, Linda; Zhdanov, Sergey; Karsch-Mizrachi, Ilene; Brister, J. Rodney; ","journal":"PeerJ","doi":"10.7287/peerj.preprints.3428v1","created_at":"2022-06-01T02:09:21.534Z","updated_at":"2022-06-01T02:09:21.534Z"},{"id":3422,"pubmed_id":null,"title":"NCBI Viral Genomes Resource","year":2014,"url":"http://dx.doi.org/10.1093/nar/gku1207","authors":"Brister, J. Rodney; Ako-adjei, Danso; Bao, Yiming; Blinkova, Olga; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1207","created_at":"2022-06-01T02:10:14.717Z","updated_at":"2022-06-01T02:10:14.717Z"},{"id":3423,"pubmed_id":null,"title":"HIV-1, human interaction database: current status and new features","year":2014,"url":"http://dx.doi.org/10.1093/nar/gku1126","authors":"Ako-Adjei, Danso; Fu, William; Wallin, Craig; Katz, Kenneth S.; Song, Guangfeng; Darji, Dakshesh; Brister, J. Rodney; Ptak, Roger G.; Pruitt, Kim D.; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1126","created_at":"2022-06-01T02:11:49.545Z","updated_at":"2022-06-01T02:11:49.545Z"},{"id":3424,"pubmed_id":null,"title":"The Influenza Virus Resource at the National Center for Biotechnology Information","year":2007,"url":"http://dx.doi.org/10.1128/jvi.02005-07","authors":"Bao, Yiming; Bolotov, Pavel; Dernovoy, Dmitry; Kiryutin, Boris; Zaslavsky, Leonid; Tatusova, Tatiana; Ostell, Jim; Lipman, David; ","journal":"J Virol","doi":"10.1128/jvi.02005-07","created_at":"2022-06-01T02:12:12.246Z","updated_at":"2022-06-01T02:12:12.246Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2031,"relation":"undefined"},{"licence_name":"NCBI Viral Genomes Resource Attribution required","licence_id":557,"licence_url":"https://www.ncbi.nlm.nih.gov/genome/viruses/variation/publications/","link_id":2027,"relation":"undefined"}],"grants":[{"id":1349,"fairsharing_record_id":1984,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.585Z","updated_at":"2021-09-30T09:25:03.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1985","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:53:07.530Z","metadata":{"doi":"10.25504/FAIRsharing.99sey6","name":"Organelle Genome Resource","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/genomes/GenomesHome.cgi?taxid=2759\u0026hopt=html","identifier":1985,"description":"The organelle genomes are part of the NCBI Reference Sequence (RefSeq) project that provides curated sequence data and related information for the community to use as a standard.","abbreviation":null,"data_curation":{"type":"manual/automated","notes":"The organelle genomes are part of the NCBI Reference Sequence (RefSeq) project that provides curated sequence data."},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/GenomesHome.cgi?taxid=2759\u0026hopt=faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1986,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000451","bsg-d000451"],"name":"FAIRsharing record for: Organelle Genome Resource","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.99sey6","doi":"10.25504/FAIRsharing.99sey6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The organelle genomes are part of the NCBI Reference Sequence (RefSeq) project that provides curated sequence data and related information for the community to use as a standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Ribonucleic acid","Structure","Genome"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":806,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":805,"relation":"undefined"}],"grants":[{"id":1351,"fairsharing_record_id":1985,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.658Z","updated_at":"2021-09-30T09:25:03.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1350,"fairsharing_record_id":1985,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.616Z","updated_at":"2021-09-30T09:25:03.616Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1993","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:01:51.941Z","metadata":{"doi":"10.25504/FAIRsharing.ge1c3p","name":"UniGene gene-oriented nucleotide sequence clusters","status":"deprecated","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/unigene","identifier":1993,"description":"Each UniGene entry is a set of transcript sequences that appear to come from the same transcription locus (gene or expressed pseudogene), together with information on protein similarities, gene expression, cDNA clone reagents, and genomic location.","abbreviation":"UniGene","data_curation":{"type":"not found"},"support_links":[{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/UniGene/help.cgi?item=FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/UniGene/help.cgi","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/UniGene/ddd.cgi","name":"digital differential display"}],"deprecation_date":"2021-05-27","deprecation_reason":"The UniGene database and web pages have been retired. Please see https://ncbiinsights.ncbi.nlm.nih.gov/2019/07/30/the-unigene-web-pages-are-now-retired/ for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000459","bsg-d000459"],"name":"FAIRsharing record for: UniGene gene-oriented nucleotide sequence clusters","abbreviation":"UniGene","url":"https://fairsharing.org/10.25504/FAIRsharing.ge1c3p","doi":"10.25504/FAIRsharing.ge1c3p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Each UniGene entry is a set of transcript sequences that appear to come from the same transcription locus (gene or expressed pseudogene), together with information on protein similarities, gene expression, cDNA clone reagents, and genomic location.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12671}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Protein","Gene","Complementary DNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":460,"pubmed_id":12519941,"title":"Database resources of the National Center for Biotechnology.","year":2003,"url":"http://doi.org/10.1093/nar/gkg033","authors":"Wheeler DL., Church DM., Federhen S., Lash AE., Madden TL., Pontius JU., Schuler GD., Schriml LM., Sequeira E., Tatusova TA., Wagner L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg033","created_at":"2021-09-30T08:23:09.975Z","updated_at":"2021-09-30T08:23:09.975Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1546,"relation":"undefined"}],"grants":[{"id":1364,"fairsharing_record_id":1993,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.099Z","updated_at":"2021-09-30T09:25:04.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1994","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:30:39.145Z","metadata":{"doi":"10.25504/FAIRsharing.81dw2c","name":"NCBI UniSTS","status":"deprecated","contacts":[{"contact_email":"probe-admin@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/unists","citations":[],"identifier":1994,"description":"UniSTS was a database of sequence tagged sites (STSs), derived from STS-based maps and other experiments. All data from this resource have been moved to the Probe database. You can retrieve all UniSTS records by searching the probe database using the search term \"unists[properties]\". Additionally, legacy data remain on the NCBI FTP Site in the UniSTS Repository (ftp://ftp.ncbi.nih.gov/pub/ProbeDB/legacy_unists). If you have any specific questions, please feel free to contact us at info@ncbi.nlm.nih.gov","abbreviation":"NCBI UniSTS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/genome/sts/help.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/dbSTS/how_to_submit.html","name":"submit"},{"url":"http://www.ncbi.nlm.nih.gov/unists","name":"search"}],"deprecation_date":"2015-07-07","deprecation_reason":"This resource is obsolete. Please see the BioSharing record for the Probe database (https://www.biosharing.org/biodbcore-000437) instead.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000460","bsg-d000460"],"name":"FAIRsharing record for: NCBI UniSTS","abbreviation":"NCBI UniSTS","url":"https://fairsharing.org/10.25504/FAIRsharing.81dw2c","doi":"10.25504/FAIRsharing.81dw2c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniSTS was a database of sequence tagged sites (STSs), derived from STS-based maps and other experiments. All data from this resource have been moved to the Probe database. You can retrieve all UniSTS records by searching the probe database using the search term \"unists[properties]\". Additionally, legacy data remain on the NCBI FTP Site in the UniSTS Repository (ftp://ftp.ncbi.nih.gov/pub/ProbeDB/legacy_unists). If you have any specific questions, please feel free to contact us at info@ncbi.nlm.nih.gov","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Protein","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":460,"pubmed_id":12519941,"title":"Database resources of the National Center for Biotechnology.","year":2003,"url":"http://doi.org/10.1093/nar/gkg033","authors":"Wheeler DL., Church DM., Federhen S., Lash AE., Madden TL., Pontius JU., Schuler GD., Schriml LM., Sequeira E., Tatusova TA., Wagner L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg033","created_at":"2021-09-30T08:23:09.975Z","updated_at":"2021-09-30T08:23:09.975Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1697,"relation":"undefined"}],"grants":[{"id":1365,"fairsharing_record_id":1994,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.148Z","updated_at":"2021-09-30T09:25:04.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1995","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:18.942Z","metadata":{"doi":"10.25504/FAIRsharing.p4dtt2","name":"UniVec","status":"ready","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/VecScreen/UniVec.html","identifier":1995,"description":"UniVec is a database that can be used to quickly identify segments within nucleic acid sequences which may be of vector origin (vector contamination). In addition to vector sequences, UniVec also contains sequences for those adapters, linkers, and primers commonly used in the process of cloning cDNA or genomic DNA.","abbreviation":"UniVec","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/tools/vecscreen/univec/","type":"automated"},"support_links":[{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"http://www.ncbi.nlm.nih.gov/VecScreen/UniVec.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000461","bsg-d000461"],"name":"FAIRsharing record for: UniVec","abbreviation":"UniVec","url":"https://fairsharing.org/10.25504/FAIRsharing.p4dtt2","doi":"10.25504/FAIRsharing.p4dtt2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniVec is a database that can be used to quickly identify segments within nucleic acid sequences which may be of vector origin (vector contamination). In addition to vector sequences, UniVec also contains sequences for those adapters, linkers, and primers commonly used in the process of cloning cDNA or genomic DNA.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Complementary DNA","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":460,"pubmed_id":12519941,"title":"Database resources of the National Center for Biotechnology.","year":2003,"url":"http://doi.org/10.1093/nar/gkg033","authors":"Wheeler DL., Church DM., Federhen S., Lash AE., Madden TL., Pontius JU., Schuler GD., Schriml LM., Sequeira E., Tatusova TA., Wagner L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg033","created_at":"2021-09-30T08:23:09.975Z","updated_at":"2021-09-30T08:23:09.975Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":342,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":346,"relation":"undefined"}],"grants":[{"id":1366,"fairsharing_record_id":1995,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.178Z","updated_at":"2021-09-30T09:25:04.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1983","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:38.603Z","metadata":{"doi":"10.25504/FAIRsharing.5h3maw","name":"NCBI Gene","status":"ready","contacts":[{"contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/gene","identifier":1983,"description":"Gene supplies gene-specific connections in the nexus of map, sequence, expression, structure, function, citation, and homology data. Unique identifiers are assigned to genes with defining sequences, genes with known map positions, and genes inferred from phenotypic information. These gene identifiers are used throughout NCBI's databases and tracked through updates of annotation. Gene includes genomes represented by NCBI Reference Sequences (or RefSeqs) and is integrated for indexing and query and retrieval from NCBI's Entrez and E-Utilities systems. Gene comprises sequences from thousands of distinct taxonomic identifiers, ranging from viruses to bacteria to eukaryotes. It represents chromosomes, organelles, plasmids, viruses, transcripts, and millions of proteins.","abbreviation":"NCBI Gene","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/books/NBK3840/","name":"NCBI Gene FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK3841/","name":"NCBI Gene Quick Start","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/mailman/listinfo/refseq-announce","name":"RefSeq Announce Mailing List","type":"Mailing list"},{"url":"https://www.ncbi.nlm.nih.gov/gene/statistics/","name":"Statistics","type":"Help documentation"},{"url":"https://ftp.ncbi.nih.gov/pub/factsheets/Factsheet_Gene.pdf","name":"Fact Sheet","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/feed/rss.cgi?ChanKey=genenews","name":"RSS News Feed","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/docker-tutorial-gene-regulation","name":"Docker tutorial gene regulation","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/bioinformatics-gene-protein-structure-function","name":"Bioinformatics gene protein structure function","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/ifb-cloud-tutorial-gene-regulation","name":"Ifb cloud tutorial gene regulation","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/snakemake-tutorial-gene-regulation","name":"Snakemake tutorial gene regulation","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pathway-and-network-analysis-2014-module-6-gene-function-prediction","name":"Pathway and network analysis 2014 module 6 gene function prediction","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pathway-and-network-analysis-2014-module-3-gene-regulation-analysis","name":"Pathway and network analysis 2014 module 3 gene regulation analysis","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pathway-and-network-analysis-2014-module-1-introduction-to-gene-lists","name":"Pathway and network analysis 2014 module 1 introduction to gene lists","type":"TeSS links to training materials"}],"data_versioning":"yes","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/sutils/splign/splign.cgi","name":"Splign"},{"url":"https://www.ncbi.nlm.nih.gov/tools/gbench/","name":"Genome Workbench"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010650","name":"re3data:r3d100010650","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002473","name":"SciCrunch:RRID:SCR_002473","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000449","bsg-d000449"],"name":"FAIRsharing record for: NCBI Gene","abbreviation":"NCBI Gene","url":"https://fairsharing.org/10.25504/FAIRsharing.5h3maw","doi":"10.25504/FAIRsharing.5h3maw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene supplies gene-specific connections in the nexus of map, sequence, expression, structure, function, citation, and homology data. Unique identifiers are assigned to genes with defining sequences, genes with known map positions, and genes inferred from phenotypic information. These gene identifiers are used throughout NCBI's databases and tracked through updates of annotation. Gene includes genomes represented by NCBI Reference Sequences (or RefSeqs) and is integrated for indexing and query and retrieval from NCBI's Entrez and E-Utilities systems. Gene comprises sequences from thousands of distinct taxonomic identifiers, ranging from viruses to bacteria to eukaryotes. It represents chromosomes, organelles, plasmids, viruses, transcripts, and millions of proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics"],"domains":["Molecular structure","Expression data","DNA sequence data","Deoxyribonucleic acid","Chromosome","Gene expression","Organelle","Plasmid","Phenotype","Structure","Protein","Transcript","Gene","Homologous","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":475,"pubmed_id":15608257,"title":"Entrez Gene: gene-centered information at NCBI.","year":2004,"url":"http://doi.org/10.1093/nar/gki031","authors":"Maglott D., Ostell J., Pruitt KD., Tatusova T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki031","created_at":"2021-09-30T08:23:11.618Z","updated_at":"2021-09-30T08:23:11.618Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2387,"relation":"undefined"}],"grants":[{"id":1348,"fairsharing_record_id":1983,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.562Z","updated_at":"2021-09-30T09:25:03.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1347,"fairsharing_record_id":1983,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.530Z","updated_at":"2021-09-30T09:25:03.530Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1986","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:25:43.584Z","metadata":{"doi":"10.25504/FAIRsharing.b5ann2","name":"Plant Genome Central","status":"deprecated","contacts":[{"contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/genomes/PLANTS/PlantList.html","identifier":1986,"description":"The list of plant sequencing projects in this page includes those that have reached the stage where active sequence determination is currently producing, or is expected to produce in the near future, GenBank accessions toward the goal of determining the sequence of that plant genome.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/PLANTS/PGC-word.pdf","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/blast/Blast.cgi?PAGE_TYPE=BlastSearch\u0026PROG_DEF=blastn\u0026BLAST_PROG_DEF=megaBlast\u0026BLAST_SPEC=Plants_MV\u0026DATABASE=Plants/Mapped_DNA_sequences_from_all_listed_plants","name":"BLAST"}],"deprecation_date":"2015-07-14","deprecation_reason":"This resource is now obsolete. Information on annotated plant genomes can be found at http://www.ncbi.nlm.nih.gov/genome/annotation_euk/all/","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000452","bsg-d000452"],"name":"FAIRsharing record for: Plant Genome Central","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.b5ann2","doi":"10.25504/FAIRsharing.b5ann2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The list of plant sequencing projects in this page includes those that have reached the stage where active sequence determination is currently producing, or is expected to produce in the near future, GenBank accessions toward the goal of determining the sequence of that plant genome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1300,"relation":"undefined"}],"grants":[{"id":1352,"fairsharing_record_id":1986,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.709Z","updated_at":"2021-09-30T09:25:03.709Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1353,"fairsharing_record_id":1986,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.745Z","updated_at":"2021-09-30T09:25:03.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1988","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:40:44.640Z","metadata":{"doi":"10.25504/FAIRsharing.da493y","name":"NCBI Protein Clusters Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/proteinclusters","citations":[{"doi":"10.1093/nar/gkn734","pubmed_id":18940865,"publication_id":462}],"identifier":1988,"description":"ProtClustDB is a collection of related protein sequences (clusters) consisting of Reference Sequence proteins encoded by complete genomes. This database contains both curated and non-curated clusters.","abbreviation":"ProtClustDB","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/proteinclusters/help/","type":"manual"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/proteinclusters/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3797/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/prokhits.cgi","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010784","name":"re3data:r3d100010784","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003459","name":"SciCrunch:RRID:SCR_003459","portal":"SciCrunch"}],"data_access_condition":{"url":"https://ftp.ncbi.nih.gov/genomes/CLUSTERS/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000454","bsg-d000454"],"name":"FAIRsharing record for: NCBI Protein Clusters Database","abbreviation":"ProtClustDB","url":"https://fairsharing.org/10.25504/FAIRsharing.da493y","doi":"10.25504/FAIRsharing.da493y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProtClustDB is a collection of related protein sequences (clusters) consisting of Reference Sequence proteins encoded by complete genomes. This database contains both curated and non-curated clusters.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12669}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Life Science"],"domains":["Molecular structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":462,"pubmed_id":18940865,"title":"The National Center for Biotechnology Information's Protein Clusters Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkn734","authors":"Klimke W., Agarwala R., Badretdin A., Chetvernin S., Ciufo S., Fedorov B., Kiryutin B., O'Neill K., Resch W., Resenchuk S., Schafer S., Tolstoy I., Tatusova T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn734","created_at":"2021-09-30T08:23:10.235Z","updated_at":"2023-06-01T07:37:06.903Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":623,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":627,"relation":"undefined"}],"grants":[{"id":1355,"fairsharing_record_id":1988,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.821Z","updated_at":"2021-09-30T09:25:03.821Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1356,"fairsharing_record_id":1988,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.858Z","updated_at":"2021-09-30T09:25:03.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1991","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:43.622Z","metadata":{"doi":"10.25504/FAIRsharing.4jg0qw","name":"Reference Sequence Database","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/RefSeq/","identifier":1991,"description":"The Reference Sequence (RefSeq) collection aims to provide a comprehensive, integrated, non-redundant, well-annotated set of sequences, including genomic DNA, transcripts, and proteins.","abbreviation":"RefSeq","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/refseq/about/","type":"manual/automated","notes":"RefSeq transcript and protein records are generated by several processes including Genome Annotation Pipelines and manual curation."},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/books/NBK50679/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK21091/","type":"Help documentation"}],"year_creation":1999,"data_versioning":"yes","associated_tools":[{"url":"http://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=MegaBlast\u0026PROGRAM=blastn\u0026BLAST_PROGRAMS=megaBlast\u0026PAGE_TYPE=BlastSearch\u0026SHOW_DEFAULTS=on\u0026BLAST_SPEC=RefseqGene","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010285","name":"re3data:r3d100010285","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003496","name":"SciCrunch:RRID:SCR_003496","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000457","bsg-d000457"],"name":"FAIRsharing record for: Reference Sequence Database","abbreviation":"RefSeq","url":"https://fairsharing.org/10.25504/FAIRsharing.4jg0qw","doi":"10.25504/FAIRsharing.4jg0qw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Reference Sequence (RefSeq) collection aims to provide a comprehensive, integrated, non-redundant, well-annotated set of sequences, including genomic DNA, transcripts, and proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Computational Biology","Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Sequencing","Protein","Transcript","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":459,"pubmed_id":17130148,"title":"NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins.","year":2006,"url":"http://doi.org/10.1093/nar/gkl842","authors":"Pruitt KD., Tatusova T., Maglott DR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl842","created_at":"2021-09-30T08:23:09.867Z","updated_at":"2021-09-30T08:23:09.867Z"},{"id":1609,"pubmed_id":null,"title":"NCBI’s LocusLink and RefSeq","year":2000,"url":"https://doi.org/10.1093/nar/28.1.126","authors":"Maglott DR, Katz KS, Sicotte H, and Pruitta KD","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:25:20.357Z","updated_at":"2021-09-30T11:28:41.165Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":449,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":448,"relation":"undefined"},{"licence_name":"RefSeq Attribution required","licence_id":705,"licence_url":"https://www.ncbi.nlm.nih.gov/books/NBK50679/#RefSeqFAQ.how_do_i_cite_the_refseq_proje","link_id":447,"relation":"undefined"}],"grants":[{"id":1361,"fairsharing_record_id":1991,"organisation_id":1955,"relation":"funds","created_at":"2021-09-30T09:25:04.018Z","updated_at":"2021-09-30T09:25:04.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1362,"fairsharing_record_id":1991,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.044Z","updated_at":"2021-09-30T09:25:04.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1992","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:55:00.943Z","metadata":{"doi":"10.25504/FAIRsharing.9sef2s","name":"SKY/M-FISH and CGH","status":"deprecated","contacts":[{"contact_name":"Turid Knutsen","contact_email":"knutsent@mail.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/sky/","identifier":1992,"description":"The goal of the SKY/M-FISH and CGH database is to provide a public platform for investigators to share and compare their molecular cytogenetic data.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"pubmedcentral@ncbi.nlm.nih.gov","type":"Support email"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2016-12-16","deprecation_reason":"This resource has been retired and the data therein will be made available from the dbVar database (https://biosharing.org/biodbcore-000463).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000458","bsg-d000458"],"name":"FAIRsharing record for: SKY/M-FISH and CGH","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9sef2s","doi":"10.25504/FAIRsharing.9sef2s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the SKY/M-FISH and CGH database is to provide a public platform for investigators to share and compare their molecular cytogenetic data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Molecular structure","Cytogenetic map","Chromosome","Structure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":61,"pubmed_id":15934046,"title":"The interactive online SKY/M-FISH \u0026 CGH database and the Entrez cancer chromosomes search database: linkage of chromosomal aberrations with the genome sequence.","year":2005,"url":"http://doi.org/10.1002/gcc.20224","authors":"Knutsen T., Gobu V., Knaus R., Padilla-Nash H., Augustus M., Strausberg RL., Kirsch IR., Sirotkin K., Ried T.,","journal":"Genes Chromosomes Cancer","doi":"10.1002/gcc.20224","created_at":"2021-09-30T08:22:26.863Z","updated_at":"2021-09-30T08:22:26.863Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1446,"relation":"undefined"}],"grants":[{"id":1363,"fairsharing_record_id":1992,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.068Z","updated_at":"2021-09-30T09:25:04.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1989","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:16:28.101Z","metadata":{"doi":"10.25504/FAIRsharing.qt3w7z","name":"PubChem","status":"ready","contacts":[{"contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://pubchem.ncbi.nlm.nih.gov/","citations":[{"doi":"10.1093/nar/gkac956","pubmed_id":null,"publication_id":4271}],"identifier":1989,"description":"PubChem is the world's largest collection of freely accessible chemical information. Searches can be performed via a number of descriptors such as name, molecular formula and structure. Information is provided for chemical and physical properties, biological activities, safety and toxicity information, patents, literature citations and more. PubChem is organized as three linked databases within the NCBI's Entrez information retrieval system. These are PubChem Substance, PubChem Compound, and PubChem BioAssay. PubChem also provides a fast chemical structure similarity search tool. ","abbreviation":"PubChem","data_curation":{"url":"https://pubchem.ncbi.nlm.nih.gov/docs/upload-chemicals#section=Choose-Input-Method","type":"manual/automated","notes":"Manual template uploads; includes programmatic automation"},"support_links":[{"url":"https://pubchemdocs.ncbi.nlm.nih.gov/about","name":"Help","type":"Help documentation"},{"url":"https://pubchemdocs.ncbi.nlm.nih.gov/pathways","name":"Documentation on retirement of NCBI BioSystems Database","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"https://pubchem.ncbi.nlm.nih.gov/standardize/standardize.cgi","name":"PubChem Standardization Service"},{"url":"https://pubchem.ncbi.nlm.nih.gov/vw3d/vw3d.cgi","name":"PubChem3D Viewer v2.0"},{"url":"https://pubchem.ncbi.nlm.nih.gov/idexchange/idexchange.cgi","name":"PubChem Identifier Exchange Service"},{"url":"https://pubchem.ncbi.nlm.nih.gov/score_matrix/score_matrix.cgi","name":"PubChem Score Matrix Service"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010129","name":"re3data:r3d100010129","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010578","name":"SciCrunch:RRID:SCR_010578","portal":"SciCrunch"}],"data_access_condition":{"url":"https://pubchem.ncbi.nlm.nih.gov/docs/downloads","type":"partially open"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html","name":"NIH-Supported Data Sharing Resource (sustained support)"},"data_contact_information":"no","data_preservation_policy":{"url":"https://pubchem.ncbi.nlm.nih.gov/sources/","name":"PubChem Archive"},"data_deposition_condition":{"url":"https://pubchem.ncbi.nlm.nih.gov/docs/submissions","type":"controlled","notes":"Data Submission Policy"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000455","bsg-d000455"],"name":"FAIRsharing record for: PubChem","abbreviation":"PubChem","url":"https://fairsharing.org/10.25504/FAIRsharing.qt3w7z","doi":"10.25504/FAIRsharing.qt3w7z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PubChem is the world's largest collection of freely accessible chemical information. Searches can be performed via a number of descriptors such as name, molecular formula and structure. Information is provided for chemical and physical properties, biological activities, safety and toxicity information, patents, literature citations and more. PubChem is organized as three linked databases within the NCBI's Entrez information retrieval system. These are PubChem Substance, PubChem Compound, and PubChem BioAssay. PubChem also provides a fast chemical structure similarity search tool. ","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10776},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10861},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10952},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11070},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12312},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12670}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Virology","Epidemiology"],"domains":["Molecular structure","Small molecule","Assay","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":2866,"pubmed_id":20970519,"title":"PubChem as a public resource for drug discovery.","year":2010,"url":"http://doi.org/10.1016/j.drudis.2010.10.003","authors":"Li Q,Cheng T,Wang Y,Bryant SH","journal":"Drug Discov Today","doi":"10.1016/j.drudis.2010.10.003","created_at":"2021-09-30T08:27:52.764Z","updated_at":"2021-09-30T08:27:52.764Z"},{"id":2867,"pubmed_id":19498078,"title":"PubChem: a public information system for analyzing bioactivities of small molecules.","year":2009,"url":"http://doi.org/10.1093/nar/gkp456","authors":"Wang Y,Xiao J,Suzek TO,Zhang J,Wang J,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp456","created_at":"2021-09-30T08:27:52.918Z","updated_at":"2021-09-30T11:29:47.687Z"},{"id":2902,"pubmed_id":17170002,"title":"Database resources of the National Center for Biotechnology Information.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1031","authors":"Wheeler DL. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1031","created_at":"2021-09-30T08:27:57.365Z","updated_at":"2021-09-30T08:27:57.365Z"},{"id":2907,"pubmed_id":30371825,"title":"PubChem 2019 update: improved access to chemical data.","year":2018,"url":"http://doi.org/10.1093/nar/gky1033","authors":"Kim S,Chen J,Cheng T,Gindulyte A,He J,He S,Li Q,Shoemaker BA,Thiessen PA,Yu B,Zaslavsky L,Zhang J,Bolton EE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1033","created_at":"2021-09-30T08:27:57.955Z","updated_at":"2021-09-30T11:29:48.480Z"},{"id":2911,"pubmed_id":27899599,"title":"PubChem BioAssay: 2017 update.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1118","authors":"Wang Y,Bryant SH,Cheng T,Wang J,Gindulyte A,Shoemaker BA,Thiessen PA,He S,Zhang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1118","created_at":"2021-09-30T08:27:58.455Z","updated_at":"2021-09-30T11:29:48.579Z"},{"id":2912,"pubmed_id":24198245,"title":"PubChem BioAssay: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt978","authors":"Wang Y,Suzek T,Zhang J,Wang J,He S,Cheng T,Shoemaker BA,Gindulyte A,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt978","created_at":"2021-09-30T08:27:58.687Z","updated_at":"2021-09-30T11:29:48.679Z"},{"id":2917,"pubmed_id":22140110,"title":"PubChem's BioAssay Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1132","authors":"Wang Y,Xiao J,Suzek TO,Zhang J,Wang J,Zhou Z,Han L,Karapetyan K,Dracheva S,Shoemaker BA,Bolton E,Gindulyte A,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1132","created_at":"2021-09-30T08:27:59.229Z","updated_at":"2021-09-30T11:29:48.870Z"},{"id":3255,"pubmed_id":null,"title":"PubChem in 2021: new data content and improved web interfaces","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa971","authors":"Kim, Sunghwan; Chen, Jie; Cheng, Tiejun; Gindulyte, Asta; He, Jia; He, Siqian; Li, Qingliang; Shoemaker, Benjamin A; Thiessen, Paul A; Yu, Bo; Zaslavsky, Leonid; Zhang, Jian; Bolton, Evan E; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa971","created_at":"2022-03-14T14:29:03.185Z","updated_at":"2022-03-14T14:29:03.185Z"},{"id":4271,"pubmed_id":null,"title":"PubChem 2023 update","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac956","authors":"Kim, Sunghwan; Chen, Jie; Cheng, Tiejun; Gindulyte, Asta; He, Jia; He, Siqian; Li, Qingliang; Shoemaker, Benjamin A; Thiessen, Paul A; Yu, Bo; Zaslavsky, Leonid; Zhang, Jian; Bolton, Evan E; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac956","created_at":"2024-05-01T15:12:44.604Z","updated_at":"2024-05-01T15:12:44.604Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1628,"relation":"applies_to_content"}],"grants":[{"id":1358,"fairsharing_record_id":1989,"organisation_id":2170,"relation":"funds","created_at":"2021-09-30T09:25:03.928Z","updated_at":"2021-09-30T09:25:03.928Z","grant_id":null,"is_lead":false,"saved_state":{"id":2170,"name":"NLM Intramural Research Program, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1357,"fairsharing_record_id":1989,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.897Z","updated_at":"2022-03-14T14:29:19.456Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBadz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8fae80bf5acc5e16154e1ffbf9b418dfdcd8e936/pubchem.png?disposition=inline","exhaustive_licences":false}},{"id":"1996","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:45:11.713Z","metadata":{"doi":"10.25504/FAIRsharing.88v2k0","name":"Database of Genotypes and Phenotypes","status":"ready","contacts":[{"contact_name":"dbGaP Helpdesk","contact_email":"dbgap-help@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/gap/","identifier":1996,"description":"The Database of Genotypes and Phenotypes (dbGaP) archives and distributes the results of studies that have investigated the interaction of genotype and phenotype. Such studies include genome-wide association studies, medical sequencing, molecular diagnostic assays, as well as association between genotype and non-clinical traits.","abbreviation":"dbGaP","data_curation":{"type":"not found"},"support_links":[{"url":"https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?page=email\u0026from=login","name":"Contact Form","type":"Contact form"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK117240","name":"GaP FAQ Archive","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/tutorial/dbGaP_demo_1.htm","name":"dbGaP Tutorial","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/summaries/cgi-bin/userWorldMap.cgi","name":"Summary Statistics","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/feed/rss.cgi?ChanKey=dbGaPnews","name":"News Feed","type":"Blog/News"}],"data_versioning":"no","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/Software.cgi","name":"Available Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010788","name":"re3data:r3d100010788","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002709","name":"SciCrunch:RRID:SCR_002709","portal":"SciCrunch"}],"data_access_condition":{"url":"https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?page=login","type":"open","notes":"Request and download individual level data required login to the management portal."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/GetPdf.cgi?document_name=HowToSubmit.pdf","type":"controlled","notes":"The study must be registred prior to data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000462","bsg-d000462"],"name":"FAIRsharing record for: Database of Genotypes and Phenotypes","abbreviation":"dbGaP","url":"https://fairsharing.org/10.25504/FAIRsharing.88v2k0","doi":"10.25504/FAIRsharing.88v2k0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Genotypes and Phenotypes (dbGaP) archives and distributes the results of studies that have investigated the interaction of genotype and phenotype. Such studies include genome-wide association studies, medical sequencing, molecular diagnostic assays, as well as association between genotype and non-clinical traits.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10777},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10953},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11071},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12672}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenetics","Genetics","Biomedical Science"],"domains":["Expression data","Genetic polymorphism","Phenotype","Genome-wide association study","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Non-clinical trial"],"countries":["United States"],"publications":[{"id":457,"pubmed_id":17898773,"title":"The NCBI dbGaP database of genotypes and phenotypes.","year":2007,"url":"http://doi.org/10.1038/ng1007-1181","authors":"Mailman MD., Feolo M., Jin Y. et al.","journal":"Nat. Genet.","doi":"10.1038/ng1007-1181","created_at":"2021-09-30T08:23:09.608Z","updated_at":"2021-09-30T08:23:09.608Z"},{"id":641,"pubmed_id":24297256,"title":"NCBI's Database of Genotypes and Phenotypes: dbGaP.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1211","authors":"Tryka KA, Hao L, Sturcke A, Jin Y, Wang ZY, Ziyabari L, Lee M, Popova N, Sharopova N, Kimura M, Feolo M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1211","created_at":"2021-09-30T08:23:30.560Z","updated_at":"2021-09-30T08:23:30.560Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2388,"relation":"undefined"}],"grants":[{"id":1367,"fairsharing_record_id":1996,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.203Z","updated_at":"2021-09-30T09:25:04.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1368,"fairsharing_record_id":1996,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:04.226Z","updated_at":"2021-09-30T09:25:04.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1997","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:15:21.737Z","metadata":{"doi":"10.25504/FAIRsharing.ktafj3","name":"Database of genomic structural VARiation","status":"ready","contacts":[],"homepage":"https://www.ncbi.nlm.nih.gov/dbvar/","citations":[],"identifier":1997,"description":"dbVar is a database of human genomic structural variation where users can search, view, and download data from submitted studies. dbVar stopped supporting data from non-human organisms in 2017, however existing non-human data remains available. In keeping with the common definition of structural variation, most variants are larger than 50 basepairs in length - however a handful of smaller variants may also be found. dbVar provides access to the raw data whenever available, as well as links to additional resources, from both NCBI and elsewhere. It can accept diverse types of events, including inversions, insertions and translocations. Additionally, both germline and somatic variants are accepted.","abbreviation":"dbVar","data_curation":{"type":"none"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/dbvar/content/help/","name":"Help and FAQ","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/dbvar/content/overview/","name":"Overview of Structural Variation","type":"Help documentation"},{"url":"https://ftp.ncbi.nlm.nih.gov/pub/factsheets/Factsheet_dbVar.pdf","name":"Factsheet (PDF)","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/feed/rss.cgi?ChanKey=dbvarnews","name":"dbVar News Feed","type":"Blog/News"}],"year_creation":2010,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010786","name":"re3data:r3d100010786","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003219","name":"SciCrunch:RRID:SCR_003219","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/dbvar/content/submission/","type":"controlled","notes":"Data must be deposited in a public database prior to submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000463","bsg-d000463"],"name":"FAIRsharing record for: Database of genomic structural VARiation","abbreviation":"dbVar","url":"https://fairsharing.org/10.25504/FAIRsharing.ktafj3","doi":"10.25504/FAIRsharing.ktafj3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbVar is a database of human genomic structural variation where users can search, view, and download data from submitted studies. dbVar stopped supporting data from non-human organisms in 2017, however existing non-human data remains available. In keeping with the common definition of structural variation, most variants are larger than 50 basepairs in length - however a handful of smaller variants may also be found. dbVar provides access to the raw data whenever available, as well as links to additional resources, from both NCBI and elsewhere. It can accept diverse types of events, including inversions, insertions and translocations. Additionally, both germline and somatic variants are accepted.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10778},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10954},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11072}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Structural Biology","Structural Genomics","Biomedical Science"],"domains":["DNA structural variation","Genetic polymorphism","Insertion","Genome","Chromatin structure variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":476,"pubmed_id":23193291,"title":"DbVar and DGVa: public archives for genomic structural variation.","year":2012,"url":"http://doi.org/10.1093/nar/gks1213","authors":"Lappalainen I., Lopez J., Skipper L., Hefferon T., Spalding JD., Garner J., Chen C., Maguire M., Corbett M., Zhou G., Paschall J., Ananiev V., Flicek P., Church DM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1213.","created_at":"2021-09-30T08:23:11.726Z","updated_at":"2021-09-30T08:23:11.726Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2389,"relation":"undefined"}],"grants":[{"id":1369,"fairsharing_record_id":1997,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.252Z","updated_at":"2021-09-30T09:25:04.252Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1990","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:22.691Z","metadata":{"doi":"10.25504/FAIRsharing.a5sv8m","name":"PubMed","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/pubmed/","citations":[],"identifier":1990,"description":"PubMed is a search engine of biomedical literature, provided as a service of the U.S. National Library of Medicine and includes more than 25 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.","abbreviation":"PubMed","data_curation":{"type":"none"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3827/#pubmedhelp.FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3827/#pubmedhelp.PubMed_Quick_Start","type":"Help documentation"},{"url":"https://learn.nlm.nih.gov/rest/training-packets/T0042010P.html","type":"Training documentation"}],"year_creation":1996,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000456","bsg-d000456"],"name":"FAIRsharing record for: PubMed","abbreviation":"PubMed","url":"https://fairsharing.org/10.25504/FAIRsharing.a5sv8m","doi":"10.25504/FAIRsharing.a5sv8m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PubMed is a search engine of biomedical literature, provided as a service of the U.S. National Library of Medicine and includes more than 25 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Traditional Medicine","Earth Science","Life Science","Biomedical Science"],"domains":["Bibliography","Behavior"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"NLM Copyright Information","licence_id":592,"licence_url":"https://www.nlm.nih.gov/web_policies.html#copyright","link_id":530,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":539,"relation":"undefined"}],"grants":[{"id":1360,"fairsharing_record_id":1990,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.995Z","updated_at":"2021-09-30T09:25:03.995Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1359,"fairsharing_record_id":1990,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.962Z","updated_at":"2021-09-30T09:25:03.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2006","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:41.988Z","metadata":{"doi":"10.25504/FAIRsharing.v2f7t2","name":"Drug Adverse Reaction Target","status":"deprecated","contacts":[{"contact_name":"Dr. Chen Yuzong","contact_email":"yzchen@cz3.nus.edu.sg"}],"homepage":"http://bidd.nus.edu.sg/group/drt/dart.asp","identifier":2006,"description":"A database for facilitating the search for drug adverse reaction target. DART contains information about known drug adverse reaction targets, functions and properties.","abbreviation":"DART","data_curation":{"type":"not found"},"support_links":[{"url":"http://bidd.cz3.nus.edu.sg/TTDtanimoto/","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2016-03-16","deprecation_reason":"This resource is no longer maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000472","bsg-d000472"],"name":"FAIRsharing record for: Drug Adverse Reaction Target","abbreviation":"DART","url":"https://fairsharing.org/10.25504/FAIRsharing.v2f7t2","doi":"10.25504/FAIRsharing.v2f7t2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database for facilitating the search for drug adverse reaction target. DART contains information about known drug adverse reaction targets, functions and properties.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Deoxyribonucleic acid","Adverse Reaction","Drug interaction","Disease","Protein","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug target in DNA network"],"countries":["Singapore"],"publications":[{"id":479,"pubmed_id":12862503,"title":"Drug Adverse Reaction Target Database (DART) : proteins related to adverse drug reactions.","year":2003,"url":"http://doi.org/10.2165/00002018-200326100-00002","authors":"Ji ZL., Han LY., Yap CW., Sun LZ., Chen X., Chen YZ.,","journal":"Drug Saf","doi":"10.2165/00002018-200326100-00002","created_at":"2021-09-30T08:23:12.050Z","updated_at":"2021-09-30T08:23:12.050Z"}],"licence_links":[],"grants":[{"id":1379,"fairsharing_record_id":2006,"organisation_id":2085,"relation":"maintains","created_at":"2021-09-30T09:25:04.552Z","updated_at":"2021-09-30T09:25:04.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2007","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:21:15.827Z","metadata":{"doi":"10.25504/FAIRsharing.znjr4p","name":"Tumor Associated Gene database","status":"ready","contacts":[{"contact_name":"H. Sunny Sun","contact_email":"hssun@mail.ncku.edu.tw"}],"homepage":"http://www.binfo.ncku.edu.tw/TAG/GeneDoc.php","identifier":2007,"description":"The tumor-associated gene (TAG) database was designed to utilize information from well-characterized oncogenes and tumor suppressor genes to facilitate cancer research. All target genes were identified through text-mining approach from the PubMed database.","abbreviation":"TAG","data_curation":{"type":"not found"},"support_links":[{"url":"em61330@email.ncku.edu.tw","type":"Support email"},{"url":"http://carpedb.ua.edu/searchinstruct.cfm","type":"Help documentation"},{"url":"http://www.binfo.ncku.edu.tw/TAG/WeightDoc.html","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000473","bsg-d000473"],"name":"FAIRsharing record for: Tumor Associated Gene database","abbreviation":"TAG","url":"https://fairsharing.org/10.25504/FAIRsharing.znjr4p","doi":"10.25504/FAIRsharing.znjr4p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The tumor-associated gene (TAG) database was designed to utilize information from well-characterized oncogenes and tumor suppressor genes to facilitate cancer research. All target genes were identified through text-mining approach from the PubMed database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Biomedical Science"],"domains":["Text mining","Cancer","Tumor","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":466,"pubmed_id":23267173,"title":"In silico identification of oncogenic potential of fyn-related kinase in hepatocellular carcinoma.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts715","authors":"Chen JS., Hung WS., Chan HH., Tsai SJ., Sun HS.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts715","created_at":"2021-09-30T08:23:10.659Z","updated_at":"2021-09-30T08:23:10.659Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":588,"relation":"undefined"}],"grants":[{"id":1380,"fairsharing_record_id":2007,"organisation_id":1977,"relation":"maintains","created_at":"2021-09-30T09:25:04.583Z","updated_at":"2021-09-30T09:25:04.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":1977,"name":"National Cheng Kung University (NCKU) Bioinformatics Center, Tainan, Taiwan","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2008","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:19:24.268Z","metadata":{"doi":"10.25504/FAIRsharing.anxkvb","name":"SpliceInfo","status":"deprecated","contacts":[{"contact_name":"Jorng-Tzong Horng","contact_email":"horng@db.csie.ncu.edu.tw"}],"homepage":"http://spliceinfo.mbc.nctu.edu.tw/","identifier":2008,"description":"The database provides a means of investigating alternative splicing and can be used for identifying alternative splicing - related motifs, such as the exonic splicing enhancer (ESE), the exonic splicing silencer (ESS) and other intronic splicing motifs. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"SpliceInfo","data_curation":{"type":"not found"},"support_links":[{"url":"bryan@mail.NCTU.edu.tw","type":"Support email"},{"url":"http://spliceinfo.mbc.nctu.edu.tw/docs/SpliceInfo_NAR_03.pdf","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000474","bsg-d000474"],"name":"FAIRsharing record for: SpliceInfo","abbreviation":"SpliceInfo","url":"https://fairsharing.org/10.25504/FAIRsharing.anxkvb","doi":"10.25504/FAIRsharing.anxkvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database provides a means of investigating alternative splicing and can be used for identifying alternative splicing - related motifs, such as the exonic splicing enhancer (ESE), the exonic splicing silencer (ESS) and other intronic splicing motifs. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Enhancer","Alternative splicing","Gene regulatory element","Gene","Sequence motif","Regulatory region"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Viruses"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":838,"pubmed_id":15608290,"title":"SpliceInfo: an information repository for mRNA alternative splicing in human genome.","year":2004,"url":"http://doi.org/10.1093/nar/gki129","authors":"Huang HD., Horng JT., Lin FM., Chang YC., Huang CC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki129","created_at":"2021-09-30T08:23:52.488Z","updated_at":"2021-09-30T08:23:52.488Z"}],"licence_links":[],"grants":[{"id":8161,"fairsharing_record_id":2008,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:16.215Z","updated_at":"2021-09-30T09:31:16.266Z","grant_id":1095,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"NSC 93-2213-E-008-024","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1382,"fairsharing_record_id":2008,"organisation_id":1978,"relation":"maintains","created_at":"2021-09-30T09:25:04.667Z","updated_at":"2021-09-30T09:25:04.667Z","grant_id":null,"is_lead":false,"saved_state":{"id":1978,"name":"National Chiao Tung University, Hsinchu City, Taiwan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1381,"fairsharing_record_id":2008,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:25:04.624Z","updated_at":"2021-09-30T09:31:14.000Z","grant_id":1077,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"NSC-93-2213-E-009-075","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2009","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:34.969Z","metadata":{"doi":"10.25504/FAIRsharing.9sb9qh","name":"Restriction enzymes and methylases database","status":"ready","contacts":[{"contact_name":"Dana Macelis","contact_email":"macelis@neb.com"}],"homepage":"http://rebase.neb.com/rebase/rebase.html","citations":[],"identifier":2009,"description":"A collection of information about restriction enzymes and related proteins. It contains published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data.","abbreviation":"REBASE","data_curation":{"type":"manual"},"support_links":[{"url":"http://rebase.neb.com/rebase/rebstaff.html","type":"Contact form"},{"url":"macelis@neb.com","type":"Support email"},{"url":"http://rebase.neb.com/rebase/rebhelp.html","type":"Help documentation"}],"year_creation":1994,"data_versioning":"yes","associated_tools":[{"url":"http://nc2.neb.com/NEBcutter2/","name":"NEBcutter 2.0"},{"url":"http://tools.neb.com/REBsites/","name":"REBsites"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012171","name":"re3data:r3d100012171","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007886","name":"SciCrunch:RRID:SCR_007886","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://rebase.neb.com/rebase/rebase.submit.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000475","bsg-d000475"],"name":"FAIRsharing record for: Restriction enzymes and methylases database","abbreviation":"REBASE","url":"https://fairsharing.org/10.25504/FAIRsharing.9sb9qh","doi":"10.25504/FAIRsharing.9sb9qh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A collection of information about restriction enzymes and related proteins. It contains published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Ribonucleic acid","Small molecule","Enzyme","Structure","Protein","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":461,"pubmed_id":25378308,"title":"REBASE-a database for DNA restriction and modification: enzymes, genes and genomes.","year":2014,"url":"http://doi.org/10.1093/nar/gku1046","authors":"Roberts RJ., Vincze T., Posfai J., Macelis D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku1046","created_at":"2021-09-30T08:23:10.084Z","updated_at":"2021-09-30T08:23:10.084Z"},{"id":782,"pubmed_id":19846593,"title":"REBASE--a database for DNA restriction and modification: enzymes, genes and genomes.","year":2009,"url":"http://doi.org/10.1093/nar/gkp874","authors":"Roberts RJ,Vincze T,Posfai J,Macelis D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp874","created_at":"2021-09-30T08:23:46.161Z","updated_at":"2021-09-30T11:28:51.159Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":6,"relation":"undefined"},{"licence_name":"REBASE Attribution required","licence_id":702,"licence_url":"http://rebase.neb.com/rebase/rebcit.html","link_id":7,"relation":"undefined"}],"grants":[{"id":1383,"fairsharing_record_id":2009,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:04.705Z","updated_at":"2021-09-30T09:25:04.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1385,"fairsharing_record_id":2009,"organisation_id":2148,"relation":"maintains","created_at":"2021-09-30T09:25:04.775Z","updated_at":"2021-09-30T09:25:04.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":2148,"name":"New England Biolabs","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1384,"fairsharing_record_id":2009,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:04.736Z","updated_at":"2021-09-30T09:29:20.318Z","grant_id":201,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"LM04971","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2010","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:17:51.787Z","metadata":{"doi":"10.25504/FAIRsharing.a46gtf","name":"Biologic Specimen and Data Repository Information Coordinating Center","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"biolincc@imsweb.com"}],"homepage":"https://biolincc.nhlbi.nih.gov/home/","identifier":2010,"description":"The goal of Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) is to facilitate and coordinate the existing activities of the NHLBI Biorepository and the Data Repository and to expand their scope and usability to the scientific community through a single web-based user interface. BioLINCC provides a wealth of information on historical NHLBI clinical and epidemiologic studies which have data or biospecimens in the NHLBI repositories, and includes study summaries, references, and study operational documents.","abbreviation":"BioLINCC","data_curation":{"type":"not found"},"support_links":[{"url":"https://biolincc.nhlbi.nih.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://biolincc.nhlbi.nih.gov/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://biolincc.nhlbi.nih.gov/media/guidelines/handbook.pdf?link_time=2020-11-19_07:39:22.722230","name":"BioLINCC Handbook","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010834","name":"re3data:r3d100010834","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013142","name":"SciCrunch:RRID:SCR_013142","portal":"SciCrunch"}],"data_access_condition":{"url":"https://biolincc.nhlbi.nih.gov/media/guidelines/handbook.pdf?link_time=2023-05-25_10:38:16.458278#page=15","type":"partially open","notes":"A formal data sharing policy was established in 1989 to enable the datasets in the repository to be shared with qualified investigators."},"data_contact_information":"no","data_deposition_condition":{"url":"https://biolincc.nhlbi.nih.gov/submit_datasets/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000476","bsg-d000476"],"name":"FAIRsharing record for: Biologic Specimen and Data Repository Information Coordinating Center","abbreviation":"BioLINCC","url":"https://fairsharing.org/10.25504/FAIRsharing.a46gtf","doi":"10.25504/FAIRsharing.a46gtf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) is to facilitate and coordinate the existing activities of the NHLBI Biorepository and the Data Repository and to expand their scope and usability to the scientific community through a single web-based user interface. BioLINCC provides a wealth of information on historical NHLBI clinical and epidemiologic studies which have data or biospecimens in the NHLBI repositories, and includes study summaries, references, and study operational documents.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10781},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11074},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12674}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Epidemiology","Preclinical Studies"],"domains":["Biological sample annotation","Biological sample","Disease","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":473,"pubmed_id":22514237,"title":"Key observations from the NHLBI Asthma Clinical Research Network.","year":2012,"url":"http://doi.org/10.1136/thoraxjnl-2012-201876","authors":"Szefler SJ., Chinchilli VM., Israel E., Denlinger LC., Lemanske RF., Calhoun W., Peters SP.,","journal":"Thorax","doi":"10.1136/thoraxjnl-2012-201876","created_at":"2021-09-30T08:23:11.409Z","updated_at":"2021-09-30T08:23:11.409Z"}],"licence_links":[{"licence_name":"NHLBI Data Sharing Policy","licence_id":576,"licence_url":"https://www.nhlbi.nih.gov/grants-and-training/policies-and-guidelines/nhlbi-policy-for-data-sharing-from-clinical-trials-and-epidemiological-studies","link_id":2187,"relation":"undefined"}],"grants":[{"id":1387,"fairsharing_record_id":2010,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:25:04.843Z","updated_at":"2021-09-30T09:25:04.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1386,"fairsharing_record_id":2010,"organisation_id":1997,"relation":"maintains","created_at":"2021-09-30T09:25:04.813Z","updated_at":"2021-09-30T09:25:04.813Z","grant_id":null,"is_lead":true,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1998","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:48:23.215Z","metadata":{"doi":"10.25504/FAIRsharing.wkggtx","name":"Dryad Digital Repository","status":"ready","contacts":[{"contact_name":"Dryad Helpdesk","contact_email":"help@datadryad.org"}],"homepage":"http://datadryad.org/","citations":[],"identifier":1998,"description":"Dryad is an open-source, community-led data curation, publishing, and preservation platform for CC0 publicly available research data. Dryad has a long-term data preservation strategy, and is a Core Trust Seal Certified Merritt repository with storage in US and EU at the San Diego Supercomputing Center, DANS, and Zenodo. While data is undergoing peer review, it is embargoed if the related journal requires / allows this. Dryad is an independent non-profit that works directly with: researchers to publish datasets utilising best practices for discovery and reuse; publishers to support the integration of data availability statements and data citations into their workflows; and institutions to enable scalable campus support for research data management best practices at low cost. Costs are covered by institutional, publisher, and funder members, otherwise a one-time fee of $120 for authors to cover cost of curation and preservation. Dryad also receives direct funder support through grants.","abbreviation":"Dryad","data_curation":{"url":"https://datadryad.org/stash/terms#curation","type":"manual","notes":"Dryad curation support"},"support_links":[{"url":"https://blog.datadryad.org/","name":"Dryad News and Views","type":"Blog/News"},{"url":"https://datadryad.org/stash/faq","name":"Dryad FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/CDL-Dryad/dryad-app/tree/main/documentation/apis","name":"Dryad Web Service Documentation","type":"Github"},{"url":"https://twitter.com/datadryad","name":"@datadryad","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Dryad_%28repository%29","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"https://datadryad.org/stash/best_practices#organize","name":"Best practices for creating reusable data publications","type":"Training documentation"},{"url":"https://datadryad.org/docs/QuickstartGuideToDataSharing.pdf","name":"Quickstart guide to data sharing","type":"Help documentation"},{"url":"https://datadryad.org/docs/JointDataArchivingPolicy.pdf","name":"Dryad Joint Data Archiving Policy (JDAP) ","type":"Other"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000044","name":"re3data:r3d100000044","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005910","name":"SciCrunch:RRID:SCR_005910","portal":"SciCrunch"}],"data_access_condition":{"url":"https://datadryad.org/stash/faq","type":"open"},"resource_sustainability":{"url":"https://datadryad.org/stash/about#origins","name":"Core Trust Seal Certified Merritt repository with storage in US and EU, at San Diego Supercomputing Center, DANS, and Zenodo."},"data_contact_information":"yes","data_preservation_policy":{"url":"https://datadryad.org/stash/faq#how-are-the-datasets-preserved","name":"Data deposited are permanently archived and available through the California Digital Library's Merritt Repository."},"data_deposition_condition":{"url":"https://datadryad.org/stash/submission_process#upload-methods","type":"open","notes":"Registered ORCID authentication required (accepts ROR identifiers). Up to 300 GB per dataset and up to 1 TB with Dryad support. No storage limit per researcher."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000464","bsg-d000464"],"name":"FAIRsharing record for: Dryad Digital Repository","abbreviation":"Dryad","url":"https://fairsharing.org/10.25504/FAIRsharing.wkggtx","doi":"10.25504/FAIRsharing.wkggtx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dryad is an open-source, community-led data curation, publishing, and preservation platform for CC0 publicly available research data. Dryad has a long-term data preservation strategy, and is a Core Trust Seal Certified Merritt repository with storage in US and EU at the San Diego Supercomputing Center, DANS, and Zenodo. While data is undergoing peer review, it is embargoed if the related journal requires / allows this. Dryad is an independent non-profit that works directly with: researchers to publish datasets utilising best practices for discovery and reuse; publishers to support the integration of data availability statements and data citations into their workflows; and institutions to enable scalable campus support for research data management best practices at low cost. Costs are covered by institutional, publisher, and funder members, otherwise a one-time fee of $120 for authors to cover cost of curation and preservation. Dryad also receives direct funder support through grants.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10779},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10955},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12921},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12931},{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12981}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Integration","Data Management","Subject Agnostic","Database Management"],"domains":["Citation","Resource metadata","Data retrieval","Curated information","Digital curation","Literature curation","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","Worldwide"],"publications":[{"id":1215,"pubmed_id":26728592,"title":"Making Data Accessible: The Dryad Experience.","year":2016,"url":"http://doi.org/10.1093/toxsci/kfv238","authors":"Miller GW","journal":"Toxicol Sci","doi":"10.1093/toxsci/kfv238","created_at":"2021-09-30T08:24:35.450Z","updated_at":"2021-09-30T08:24:35.450Z"},{"id":1236,"pubmed_id":26413172,"title":"GMS publishes your research findings - and makes the related research data available through Dryad.","year":2015,"url":"http://doi.org/10.3205/zma000976","authors":"Arning U","journal":"GMS Z Med Ausbild","doi":"10.3205/zma000976","created_at":"2021-09-30T08:24:37.891Z","updated_at":"2021-09-30T08:24:37.891Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":770,"relation":"undefined"},{"licence_name":"DataDryad Terms of Service","licence_id":220,"licence_url":"https://datadryad.org/pages/policies","link_id":755,"relation":"undefined"}],"grants":[{"id":1370,"fairsharing_record_id":1998,"organisation_id":787,"relation":"maintains","created_at":"2021-09-30T09:25:04.276Z","updated_at":"2021-09-30T09:25:04.276Z","grant_id":null,"is_lead":true,"saved_state":{"id":787,"name":"Dryad, Durham, NC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":1371,"fairsharing_record_id":1998,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:04.312Z","updated_at":"2021-09-30T09:32:08.303Z","grant_id":1485,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0830944","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8366,"fairsharing_record_id":1998,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:17.642Z","updated_at":"2021-09-30T09:32:17.692Z","grant_id":1552,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1147166","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWDQ9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--94f277801379fa060846d300b1d19045ad880118/logod.png?disposition=inline","exhaustive_licences":false}},{"id":"1999","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:58.459Z","metadata":{"doi":"10.25504/FAIRsharing.5ab0n7","name":"Three-Dimensional Structure Database of Natural Metabolites","status":"deprecated","contacts":[{"contact_name":"Miki H. Maeda","contact_email":"mmaeda@nias.affrc.go.jp"}],"homepage":"http://www.3dmet.dna.affrc.go.jp/","citations":[],"identifier":1999,"description":"3DMET is a database of three-dimensional structures of natural metabolites.","abbreviation":"3DMET","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.3dmet.dna.affrc.go.jp/cgi/renraku.html","type":"Contact form"},{"url":"http://www.3dmet.dna.affrc.go.jp/docs/faqs.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.3dmet.dna.affrc.go.jp/docs/index.html","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000465","bsg-d000465"],"name":"FAIRsharing record for: Three-Dimensional Structure Database of Natural Metabolites","abbreviation":"3DMET","url":"https://fairsharing.org/10.25504/FAIRsharing.5ab0n7","doi":"10.25504/FAIRsharing.5ab0n7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: 3DMET is a database of three-dimensional structures of natural metabolites.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11774}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Molecular structure","Chemical entity","Metabolite","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":469,"pubmed_id":23293959,"title":"Three-Dimensional Structure Database of Natural Metabolites (3DMET): A Novel Database of Curated 3D Structures.","year":2013,"url":"http://doi.org/10.1021/ci300309k","authors":"Maeda MH., Kondo K.,","journal":"J Chem Inf Model","doi":"10.1021/ci300309k","created_at":"2021-09-30T08:23:10.959Z","updated_at":"2021-09-30T08:23:10.959Z"}],"licence_links":[],"grants":[{"id":1372,"fairsharing_record_id":1999,"organisation_id":2008,"relation":"maintains","created_at":"2021-09-30T09:25:04.345Z","updated_at":"2021-09-30T09:25:04.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":2008,"name":"National Institute of Agrobiological Sciences (NIAS), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2000","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T11:06:16.296Z","metadata":{"doi":"10.25504/FAIRsharing.xz5m1a","name":"Nematode Expression Pattern DataBase","status":"ready","contacts":[{"contact_name":"Tadasu Shin-i","contact_email":"tshini@genes.nig.ac.jp"}],"homepage":"http://nematode.lab.nig.ac.jp/","identifier":2000,"description":"The Kohara lab has been constructing an expression pattern map of the 100Mb genome of the nematode Caenorhabditis elegans through EST analysis and systematic whole mount in situ hybridization. NEXTDB is the database to integrate all information from the expression pattern project.","abbreviation":"NextDB","data_curation":{"url":"https://nematode.nig.ac.jp/feedback/FeedBack.html","type":"manual/automated","notes":"Only the feedback information is checked."},"support_links":[{"url":"http://nematode.lab.nig.ac.jp/doc/usageSrch.php","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://nematode.lab.nig.ac.jp/dbhomol/homolsrch.php","name":"Blast"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://nematode.nig.ac.jp/feedback/index.html","type":"open","notes":"The databases promotes the collection of the information obtained by using the shared cDNA clones ."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000466","bsg-d000466"],"name":"FAIRsharing record for: Nematode Expression Pattern DataBase","abbreviation":"NextDB","url":"https://fairsharing.org/10.25504/FAIRsharing.xz5m1a","doi":"10.25504/FAIRsharing.xz5m1a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Kohara lab has been constructing an expression pattern map of the 100Mb genome of the nematode Caenorhabditis elegans through EST analysis and systematic whole mount in situ hybridization. NEXTDB is the database to integrate all information from the expression pattern project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Genome"],"taxonomies":["Caenorhabditis elegans","Nematoda"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"NEXTDB Terms and Conditions of Use","licence_id":573,"licence_url":"http://nematode.lab.nig.ac.jp/doc/readme.php","link_id":580,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":585,"relation":"undefined"}],"grants":[{"id":1373,"fairsharing_record_id":2000,"organisation_id":2019,"relation":"maintains","created_at":"2021-09-30T09:25:04.379Z","updated_at":"2021-09-30T09:25:04.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2001","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:36.374Z","metadata":{"doi":"10.25504/FAIRsharing.ftamrc","name":"NITE Biological Research Center Culture Catalogue","status":"ready","contacts":[{"contact_email":"nbrc@nite.go.jp"}],"homepage":"https://www.nite.go.jp/nbrc/catalogue/","citations":[],"identifier":2001,"description":"The NITE Biological Resource Center Culture Catalogue (NBRC) collects potentially useful biological resources (microorganisms and cloned genes) and distributes them to promote basic researches as well as industrial applications. Information includes the source of isolation, culture conditions, literature and sequence by searching for strains using NBRC number or scientific name. Closely related strains can be discovered by performing a homology search using sequence data.","abbreviation":"NBRC","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.nite.go.jp/en/nbrc/index.html","name":"About","type":"Help documentation"},{"url":"https://www.nite.go.jp/en/nbrc/cultures/index.html","name":"Distribution and Deposit of Biological Resources","type":"Help documentation"}],"data_versioning":"no","associated_tools":[],"data_access_condition":{"url":"https://www.nite.go.jp/en/nbrc/cultures/fee/fee.html","type":"controlled","notes":"Charging service"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.nite.go.jp/en/nbrc/cultures/deposit/index.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000467","bsg-d000467"],"name":"FAIRsharing record for: NITE Biological Research Center Culture Catalogue","abbreviation":"NBRC","url":"https://fairsharing.org/10.25504/FAIRsharing.ftamrc","doi":"10.25504/FAIRsharing.ftamrc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NITE Biological Resource Center Culture Catalogue (NBRC) collects potentially useful biological resources (microorganisms and cloned genes) and distributes them to promote basic researches as well as industrial applications. Information includes the source of isolation, culture conditions, literature and sequence by searching for strains using NBRC number or scientific name. Closely related strains can be discovered by performing a homology search using sequence data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Microbiology"],"domains":["Resource collection"],"taxonomies":["Actinomycetales","Algae","Archaea","Bacteria","Fungi","Viruses"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"NITE Terms of use","licence_id":589,"licence_url":"https://www.nite.go.jp/en/homepage/index.html","link_id":237,"relation":"undefined"}],"grants":[{"id":1374,"fairsharing_record_id":2001,"organisation_id":2026,"relation":"maintains","created_at":"2021-09-30T09:25:04.418Z","updated_at":"2021-11-22T11:29:58.738Z","grant_id":null,"is_lead":true,"saved_state":{"id":2026,"name":"National Institute of Technology and Evaluation (NITE), Tokyo, Japan","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2002","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.794Z","metadata":{"doi":"10.25504/FAIRsharing.xwqg9h","name":"NIA Mouse cDNA Project","status":"deprecated","contacts":[{"contact_name":"Dawood B. Dudekula","contact_email":"dawood@helix.nih.gov","contact_orcid":"0000-0002-4054-1827"}],"homepage":"http://lgsun.grc.nia.nih.gov/cDNA/cDNA.html","identifier":2002,"description":"A catalog of mouse genes expressed in early embryos, embryonic and adult stem cells was assembled. The cDNA libraries are freely distributed to the research community, providing a standard platform for expression studies using microarrays.","abbreviation":"niaEST","data_curation":{"type":"not found"},"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://lgsun.grc.nia.nih.gov/ANOVA/","name":"analyze"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000468","bsg-d000468"],"name":"FAIRsharing record for: NIA Mouse cDNA Project","abbreviation":"niaEST","url":"https://fairsharing.org/10.25504/FAIRsharing.xwqg9h","doi":"10.25504/FAIRsharing.xwqg9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A catalog of mouse genes expressed in early embryos, embryonic and adult stem cells was assembled. The cDNA libraries are freely distributed to the research community, providing a standard platform for expression studies using microarrays.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Complementary DNA"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1624,"pubmed_id":14744099,"title":"The NIA cDNA project in mouse stem cells and early embryos.","year":2004,"url":"http://doi.org/10.1016/j.crvi.2003.09.008","authors":"Carter MG,Piao Y,Dudekula DB,Qian Y,VanBuren V,Sharov AA,Tanaka TS,Martin PR,Bassey UC,Stagg CA,Aiba K,Hamatani T,Matoba R,Kargul GJ,Ko MS","journal":"C R Biol","doi":"10.1016/j.crvi.2003.09.008","created_at":"2021-09-30T08:25:22.036Z","updated_at":"2021-09-30T08:25:22.036Z"}],"licence_links":[],"grants":[{"id":1375,"fairsharing_record_id":2002,"organisation_id":2027,"relation":"maintains","created_at":"2021-09-30T09:25:04.445Z","updated_at":"2021-09-30T09:25:04.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2003","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-06T08:54:55.865Z","metadata":{"doi":"10.25504/FAIRsharing.5949vn","name":"ChemIDplus","status":"deprecated","contacts":[{"contact_name":"Florence Chang","contact_email":"florence.chang@nih.gov"}],"homepage":"https://www.nlm.nih.gov/pubs/techbull/ja22/ja22_pubchem.html#note","citations":[],"identifier":2003,"description":"ChemIDplus is a web-based search system that provides access to structure and nomenclature authority files used for the identification of chemical substances cited in National Library of Medicine (NLM) databases. It also provides structure searching and direct links to many biomedical resources at NLM and on the Internet for chemicals of interest.\n","abbreviation":"ChemIDplus","data_curation":{},"support_links":[{"url":"tehip@teh.nlm.nih.gov","name":"tehip@teh.nlm.nih.gov","type":"Support email"},{"url":"https://chem.nlm.nih.gov/chemidplus/faq.jsp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://chem.nlm.nih.gov/chemidplus/jsp/chemidheavy/help.jsp","name":"Help","type":"Help documentation"},{"url":"https://chem.nlm.nih.gov/chemidplus/jsp/toxnet/chemidplusfs.jsp","name":"Fact Sheet","type":"Help documentation"},{"url":"https://learn.nlm.nih.gov/?search_term=chemidplus\u0026_gl=1*ldduc6*_ga*MTE3MTYxNzg2LjE2NjE3NjA4MzQ.*_ga_P1FPTH9PL4*MTY2MTc4NzE4NC4xLjEuMTY2MTc4NzQ1OC4wLjAuMA..","name":"Tutorials","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2023-04-06","deprecation_reason":"ChemIDplus content is available from PubChem starting december 2022. See https://www.nlm.nih.gov/pubs/techbull/ja22/ja22_pubchem.html#note for more information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000469","bsg-d000469"],"name":"FAIRsharing record for: ChemIDplus","abbreviation":"ChemIDplus","url":"https://fairsharing.org/10.25504/FAIRsharing.5949vn","doi":"10.25504/FAIRsharing.5949vn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChemIDplus is a web-based search system that provides access to structure and nomenclature authority files used for the identification of chemical substances cited in National Library of Medicine (NLM) databases. It also provides structure searching and direct links to many biomedical resources at NLM and on the Internet for chemicals of interest.\n","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11775}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry","Biomedical Science"],"domains":["Molecular structure","Chemical structure","Molecular entity","Structure","Chemical descriptor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":465,"pubmed_id":11989279,"title":"ChemIDplus-super source for chemical and drug information.","year":2002,"url":"http://doi.org/10.1300/J115v21n01_04","authors":"Tomasulo P.,","journal":"Med Ref Serv Q","doi":"10.1300/J115v21n01_04","created_at":"2021-09-30T08:23:10.550Z","updated_at":"2021-09-30T08:23:10.550Z"}],"licence_links":[{"licence_name":"NLM Copyright Information","licence_id":592,"licence_url":"https://www.nlm.nih.gov/web_policies.html#copyright","link_id":1984,"relation":"undefined"},{"licence_name":"NLM Web Policies","licence_id":974,"licence_url":"https://www.nlm.nih.gov/web_policies.html","link_id":2818,"relation":"applies_to_content"}],"grants":[{"id":1376,"fairsharing_record_id":2003,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:04.468Z","updated_at":"2021-09-30T09:25:04.468Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2011","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:17:45.767Z","metadata":{"doi":"10.25504/FAIRsharing.k81521","name":"Integrating Data for Analysis, Anonymization, and Sharing","status":"deprecated","contacts":[{"contact_email":"idash@ucsd.edu"}],"homepage":"http://idash.ucsd.edu/","identifier":2011,"description":"Integrating Data for Analysis, Anonymization and SHaring (iDASH) is one of the National Centers for Biomedical Computing (NCBC) under the NIH Roadmap for Bioinformatics and Computational Biology. Founded in 2010, the iDASH center is hosted on the campus of the University of California, San Diego and addresses fundamental challenges to research progress and enables global collaborations anywhere and anytime. Driving biological projects motivate, inform, and support tool development in iDASH. iDASH collaborates with other NCBCs and disseminates tools via annual workshops, presentations at major conferences, and scientific publications. iDASH offers a secure cyberinfrastructure and tools to support a privacy-preserving data repository and open source software. iDASH also is active in research and training in its mission area.","abbreviation":"iDASH","data_curation":{"type":"not found"},"support_links":[{"url":"http://idash.ucsd.edu/idash-softwaretools","type":"Help documentation"},{"url":"http://idash.ucsd.edu/cyberinfrastructure","type":"Help documentation"},{"url":"http://idash.ucsd.edu/events/webinars","type":"Training documentation"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"https://idash.ucsd.edu/dbp-tools","name":"Microrna Analysis in GPU Infrastructure"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"Genome Query Language"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"Observational Cohort Event Analysis and Notification System"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"Sensing Sedentary (and physical activity behavior)"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"WebGLORE 2.0"}],"deprecation_date":"2018-01-30","deprecation_reason":"This resource has been deprecated as funding has ended. As of 07/30/2017, all data within any of the communities in iDASH were no longer accessible. Please contact idash@ucsd.edu with any questions.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000477","bsg-d000477"],"name":"FAIRsharing record for: Integrating Data for Analysis, Anonymization, and Sharing","abbreviation":"iDASH","url":"https://fairsharing.org/10.25504/FAIRsharing.k81521","doi":"10.25504/FAIRsharing.k81521","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integrating Data for Analysis, Anonymization and SHaring (iDASH) is one of the National Centers for Biomedical Computing (NCBC) under the NIH Roadmap for Bioinformatics and Computational Biology. Founded in 2010, the iDASH center is hosted on the campus of the University of California, San Diego and addresses fundamental challenges to research progress and enables global collaborations anywhere and anytime. Driving biological projects motivate, inform, and support tool development in iDASH. iDASH collaborates with other NCBCs and disseminates tools via annual workshops, presentations at major conferences, and scientific publications. iDASH offers a secure cyberinfrastructure and tools to support a privacy-preserving data repository and open source software. iDASH also is active in research and training in its mission area.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11075}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Security","Biomedical Science"],"domains":["Analysis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":458,"pubmed_id":null,"title":"iDASH: integrating data for analysis, anonymization, and sharing","year":2012,"url":"http://doi.org/10.1136/amiajnl-2011-000538","authors":"Lucila Ohno-Machado et al.","journal":"Journal of the American Medical Informatics Association","doi":"10.1136/amiajnl-2011-000538","created_at":"2021-09-30T08:23:09.760Z","updated_at":"2021-09-30T08:23:09.760Z"}],"licence_links":[{"licence_name":"UCSD Data Usage Procedures","licence_id":802,"licence_url":"http://idash.ucsd.edu/procedures","link_id":2315,"relation":"undefined"}],"grants":[{"id":1389,"fairsharing_record_id":2011,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:04.897Z","updated_at":"2021-09-30T09:25:04.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1388,"fairsharing_record_id":2011,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:25:04.869Z","updated_at":"2021-09-30T09:29:51.938Z","grant_id":441,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54HL108460","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2013","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:29.236Z","metadata":{"doi":"10.25504/FAIRsharing.dt71b7","name":"GeneNetwork","status":"ready","contacts":[{"contact_name":"Robert W Williams","contact_email":"rwilliams@uthsc.edu"}],"homepage":"http://www.genenetwork.org/","citations":[{"publication_id":2973}],"identifier":2013,"description":"GeneNetwork is a group of linked data sets and tools used to study complex networks of genes, molecules, and higher order gene function and phenotypes. GeneNetwork combines more than 25 years of legacy data generated by hundreds of scientists together with sequence data (SNPs) and massive transcriptome data sets (expression or eQTL data sets). GeneNetwork was created in 1994 as The Portable Dictionary of the Mouse Genome, and became WebQTL in 2001. In 2005 it was renamed GeneNetwork.","abbreviation":"GeneNetwork","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.genenetwork.org/news","name":"News","type":"Blog/News"},{"url":"http://gn1.genenetwork.org/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://gn1.genenetwork.org/glossary.html","name":"Glossary","type":"Help documentation"},{"url":"http://www.genenetwork.org/policies","name":"GeneNetwork Policies","type":"Help documentation"},{"url":"https://github.com/genenetwork/genenetwork2","name":"GitHub GN2 Project","type":"Github"},{"url":"https://github.com/genenetwork/genenetwork1","name":"GitHub GN1 Project","type":"Github"},{"url":"http://www.genenetwork.org/tutorials","name":"Tutorials","type":"Training documentation"},{"url":"https://twitter.com/GeneNetwork2","name":"@GeneNetwork2","type":"Twitter"}],"year_creation":1994,"data_versioning":"yes","associated_tools":[{"url":"http://www.genenetwork.org/dbResults.html","name":"Genome Graph (visualization)"},{"url":"http://www.genenetwork.org/webqtl/main.py?FormID=batSubmit","name":"Batch Submission Tool"},{"url":"http://www.genenetwork.org/snp_browser","name":"Variant (SNP) Browser"},{"url":"http://www.genenetwork.org/webqtl/main.py?FormID=qtlminer","name":"QTLminer (analysis)"},{"url":"http://power.genenetwork.org/","name":"BDX Power Calculator"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.genenetwork.org/webqtl/main.py?FormID=submitSingleTrait","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000479","bsg-d000479"],"name":"FAIRsharing record for: GeneNetwork","abbreviation":"GeneNetwork","url":"https://fairsharing.org/10.25504/FAIRsharing.dt71b7","doi":"10.25504/FAIRsharing.dt71b7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneNetwork is a group of linked data sets and tools used to study complex networks of genes, molecules, and higher order gene function and phenotypes. GeneNetwork combines more than 25 years of legacy data generated by hundreds of scientists together with sequence data (SNPs) and massive transcriptome data sets (expression or eQTL data sets). GeneNetwork was created in 1994 as The Portable Dictionary of the Mouse Genome, and became WebQTL in 2001. In 2005 it was renamed GeneNetwork.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11077}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genetics","Transcriptomics"],"domains":["Expression data","Network model","Gene expression","Phenotype","Single nucleotide polymorphism","Quantitative trait loci","Genotype"],"taxonomies":["Arabidopsis thaliana","Drosophila melanogaster","Glycine max","Homo sapiens","Hordeum vulgare L.","Mus musculus","Rhesus macaques","Solanum lycopersicum"],"user_defined_tags":[],"countries":["Australia","Germany","Israel","Singapore","United Kingdom","United States"],"publications":[{"id":471,"pubmed_id":15114364,"title":"WebQTL: rapid exploratory analysis of gene expression and genetic networks for brain and behavior.","year":2004,"url":"http://doi.org/10.1038/nn0504-485","authors":"Chesler EJ., Lu L., Wang J., Williams RW., Manly KF.,","journal":"Nat. Neurosci.","doi":"10.1038/nn0504-485","created_at":"2021-09-30T08:23:11.209Z","updated_at":"2021-09-30T08:23:11.209Z"},{"id":2973,"pubmed_id":null,"title":"GeneNetwork: framework for web-based genetics","year":2016,"url":"https://doi.org/10.21105/joss.00025","authors":"Zachary Sloan, Danny Arends, Karl W. Broman, Arthur Centeno, Nicholas Furlotte, Harm Nijveen, Lei Yan, Xiang Zhou, Robert W.Williams, and Pjotr Prins","journal":"Journal of Open-Source Software","doi":null,"created_at":"2021-09-30T08:28:06.358Z","updated_at":"2021-09-30T08:28:06.358Z"}],"licence_links":[{"licence_name":"GNU Affero General Public License","licence_id":352,"licence_url":"http://www.gnu.org/licenses/agpl-3.0.html","link_id":1424,"relation":"undefined"}],"grants":[{"id":1393,"fairsharing_record_id":2013,"organisation_id":2850,"relation":"maintains","created_at":"2021-09-30T09:25:05.021Z","updated_at":"2021-09-30T09:25:05.021Z","grant_id":null,"is_lead":false,"saved_state":{"id":2850,"name":"The UT Center for Integrative and Translational Genomics","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1398,"fairsharing_record_id":2013,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:05.192Z","updated_at":"2021-09-30T09:30:48.324Z","grant_id":879,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"P20-DA 21131","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1392,"fairsharing_record_id":2013,"organisation_id":1883,"relation":"funds","created_at":"2021-09-30T09:25:04.991Z","updated_at":"2021-09-30T09:31:57.279Z","grant_id":1403,"is_lead":false,"saved_state":{"id":1883,"name":"MMHCC","grant":"U01CA105417","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1397,"fairsharing_record_id":2013,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:05.155Z","updated_at":"2021-09-30T09:25:05.155Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1394,"fairsharing_record_id":2013,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:25:05.045Z","updated_at":"2021-09-30T09:29:25.401Z","grant_id":242,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"R01AG043930","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1395,"fairsharing_record_id":2013,"organisation_id":267,"relation":"funds","created_at":"2021-09-30T09:25:05.075Z","updated_at":"2021-09-30T09:31:47.195Z","grant_id":1325,"is_lead":false,"saved_state":{"id":267,"name":"Biomedical Informatics Research Network (BIRN)","grant":"U24 RR021760","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1396,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:25:05.117Z","updated_at":"2021-09-30T09:28:54.743Z","grant_id":12,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U01 AA013499","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7901,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:29:35.092Z","updated_at":"2021-09-30T09:29:35.139Z","grant_id":312,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U24 AA013513","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8240,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:31:41.181Z","updated_at":"2021-09-30T09:31:41.234Z","grant_id":1283,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U01 AA014425","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8248,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:31:44.308Z","updated_at":"2021-09-30T09:31:44.362Z","grant_id":1305,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U01 AA016662","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2022","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:34.800Z","metadata":{"doi":"10.25504/FAIRsharing.p3bzqb","name":"Transporter Classification Database","status":"ready","contacts":[{"contact_name":"Milton H. Saier, Jr.","contact_email":"msaier@ucsd.edu","contact_orcid":"0000-0001-5530-0017"},{"contact_name":"Arturo Medrano-Soto","contact_email":"arturo.medrano@gmail.com","contact_orcid":"0000-0002-6095-3829"}],"homepage":"https://tcdb.org/","citations":[{"doi":"10.1093/nar/gkaa1004","pubmed_id":33170213,"publication_id":367}],"identifier":2022,"description":"This freely accessible database details a comprehensive IUBMB approved classification system for membrane transport proteins known as the Transporter Classification (TC) system. The TC system is analogous to the Enzyme Commission (EC) system for classification of enzymes, except that it incorporates both functional and phylogenetic information for organisms of all types. As of August 1, 2021, TCDB consists of 22,132 proteins classified in 17,390 transport systems with 1,604 tabulated 3D structures, 21,174 reference citations describing 1,708 transporter families, of which 25% are members of 94 recognized superfamilies. Overall, this is an increase of over 50% since the last published update of the database in 2016. The most recent update of the database contents and features include (1) adoption of a chemical ontology for substrates of transporters, (2) inclusion of new superfamilies, (3) a domain-based characterization of transporter families (tcDoms) for the identification of new members as well as functional and evolutionary relationships between families, (4) development of novel software to facilitate curation and use of the database, (5) addition of new subclasses of transport systems including 11 novel types of channels and 3 types of group translocators, and (6) the inclusion of many man-made (artificial) transmembrane pores/channels and carriers.","abbreviation":"TCDB","data_curation":{"url":"https://tcdb.org/faq.php","type":"automated"},"support_links":[{"url":"https://tcdb.org/tcdb_help.php","name":"Help and tutorials","type":"Frequently Asked Questions (FAQs)"},{"url":"https://tcdb.org/faq.php","name":"FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://biotools.tcdb.org","name":"Bio-tools: links to in-house and external tools"},{"url":"https://tcdb.org/progs/blast.php","name":"Blast a protein against TCDB"},{"url":"https://tcdb.org/progs/?tool=substrate#/","name":"Query TCDB by transported substrate(s)"}],"data_access_condition":{"type":"open","notes":"Online access is open to the public in read-only mode."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Contact us if you would like to submit your data to TCDB."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000489","bsg-d000489"],"name":"FAIRsharing record for: Transporter Classification Database","abbreviation":"TCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.p3bzqb","doi":"10.25504/FAIRsharing.p3bzqb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This freely accessible database details a comprehensive IUBMB approved classification system for membrane transport proteins known as the Transporter Classification (TC) system. The TC system is analogous to the Enzyme Commission (EC) system for classification of enzymes, except that it incorporates both functional and phylogenetic information for organisms of all types. As of August 1, 2021, TCDB consists of 22,132 proteins classified in 17,390 transport systems with 1,604 tabulated 3D structures, 21,174 reference citations describing 1,708 transporter families, of which 25% are members of 94 recognized superfamilies. Overall, this is an increase of over 50% since the last published update of the database in 2016. The most recent update of the database contents and features include (1) adoption of a chemical ontology for substrates of transporters, (2) inclusion of new superfamilies, (3) a domain-based characterization of transporter families (tcDoms) for the identification of new members as well as functional and evolutionary relationships between families, (4) development of novel software to facilitate curation and use of the database, (5) addition of new subclasses of transport systems including 11 novel types of channels and 3 types of group translocators, and (6) the inclusion of many man-made (artificial) transmembrane pores/channels and carriers.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10789},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11086}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Knowledge and Information Systems","Phylogenetics","Computational Biology","Life Science","Cell Biology"],"domains":["Molecular structure","Annotation","Function analysis","Molecular function","Transport","Disease","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":271,"pubmed_id":24225317,"title":"The transporter classification database","year":2013,"url":"http://doi.org/10.1093/nar/gkt1097","authors":"Saier MH, Reddy VS, Tamang DG, Vastermark A.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1097","created_at":"2021-09-30T08:22:49.313Z","updated_at":"2021-09-30T11:28:44.500Z"},{"id":367,"pubmed_id":33170213,"title":"The Transporter Classification Database (TCDB): 2021 update","year":2021,"url":"http://doi.org/10.1093/nar/gkaa1004","authors":"Saier MH, Reddy VS, Moreno-Hagelsieb G, Hendargo KJ, Zhang Y, Iddamsetty V, Lam KJK, Tian N, Russum S, Wang J, Medrano-Soto A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkaa1004","created_at":"2021-09-30T08:22:59.458Z","updated_at":"2021-09-30T08:22:59.458Z"},{"id":472,"pubmed_id":16381841,"title":"TCDB: the Transporter Classification Database for membrane transport protein analyses and information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj001","authors":"Saier MH., Tran CV., Barabote RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj001","created_at":"2021-09-30T08:23:11.309Z","updated_at":"2021-09-30T08:23:11.309Z"},{"id":482,"pubmed_id":19022853,"title":"The Transporter Classification Database: recent advances.","year":2008,"url":"http://doi.org/10.1093/nar/gkn862","authors":"Saier MH., Yen MR., Noto K., Tamang DG., Elkan C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn862","created_at":"2021-09-30T08:23:12.425Z","updated_at":"2021-09-30T08:23:12.425Z"},{"id":1530,"pubmed_id":26546518,"title":"The Transporter Classification Database (TCDB): recent advances","year":2015,"url":"http://doi.org/10.1093/nar/gkv1103","authors":"Saier MH, Reddy V S, Tsu BV, Ahmed MS, Li C, Moreno-Hagelsieb G.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1103","created_at":"2021-09-30T08:25:11.259Z","updated_at":"2021-09-30T11:29:12.735Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1329,"relation":"undefined"},{"licence_name":"GNU Free Documentation License","licence_id":353,"licence_url":"http://www.gnu.org/licenses/fdl-1.3.html","link_id":1333,"relation":"undefined"}],"grants":[{"id":1421,"fairsharing_record_id":2022,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:06.054Z","updated_at":"2021-09-30T09:25:06.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1420,"fairsharing_record_id":2022,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:06.025Z","updated_at":"2021-09-30T09:25:06.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2023","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:57.213Z","metadata":{"doi":"10.25504/FAIRsharing.2g4cfa","name":"Quantitative Trait Loci Archive","status":"ready","contacts":[{"contact_email":"qtlarchive@jax.org"}],"homepage":"https://phenome.jax.org/centers/QTLA","citations":[],"identifier":2023,"description":"This site provides access to raw data from various QTL (quantitative trait loci) studies using rodent inbred line crosses. Data are available in the .csv format used by R/qtl and pseudomarker programs. In some cases analysis scripts and/or results are posted to accompany the data.","abbreviation":"QTL Archive","data_curation":{"url":"file:///C:/Users/Utilisateur/Downloads/SIP_Guidelines_v1.4.1%20(1).pdf","type":"manual"},"support_links":[{"url":"http://phenome.jax.org/db/q?rtn=uin/sugg","type":"Contact form"},{"url":"phenome@jax.org","type":"Support email"},{"url":"http://phenome.jax.org/db/q?rtn=docs/aboutmpd","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010571","name":"re3data:r3d100010571","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006213","name":"SciCrunch:RRID:SCR_006213","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://studyintake.jax.org/help#do-i-have-to-register-as-a-user-","type":"controlled","notes":"Only registrered users can upload data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000490","bsg-d000490"],"name":"FAIRsharing record for: Quantitative Trait Loci Archive","abbreviation":"QTL Archive","url":"https://fairsharing.org/10.25504/FAIRsharing.2g4cfa","doi":"10.25504/FAIRsharing.2g4cfa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This site provides access to raw data from various QTL (quantitative trait loci) studies using rodent inbred line crosses. Data are available in the .csv format used by R/qtl and pseudomarker programs. In some cases analysis scripts and/or results are posted to accompany the data.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11087}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Curated information","Phenotype","Quantitative trait loci","Genotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"MPD Attribution required","licence_id":526,"licence_url":"https://phenome.jax.org/about/citing","link_id":1942,"relation":"undefined"},{"licence_name":"MPD Terms of Use","licence_id":527,"licence_url":"https://phenome.jax.org/about/termsofuse","link_id":1944,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1943,"relation":"undefined"}],"grants":[{"id":1425,"fairsharing_record_id":2023,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:06.159Z","updated_at":"2021-09-30T09:25:06.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1422,"fairsharing_record_id":2023,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:06.078Z","updated_at":"2021-09-30T09:25:06.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1424,"fairsharing_record_id":2023,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:06.128Z","updated_at":"2021-09-30T09:25:06.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1426,"fairsharing_record_id":2023,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:25:06.201Z","updated_at":"2021-09-30T09:25:06.201Z","grant_id":null,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1423,"fairsharing_record_id":2023,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:06.105Z","updated_at":"2021-09-30T09:28:57.859Z","grant_id":33,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"GM070683","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2016","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:33.096Z","metadata":{"doi":"10.25504/FAIRsharing.k34tv5","name":"National Addiction \u0026 HIV Data Archive Program","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"nahdap@icpsr.umich.edu"}],"homepage":"https://www.icpsr.umich.edu/web/pages/NAHDAP/index.html","citations":[],"identifier":2016,"description":"NAHDAP acquires, preserves and disseminates data relevant to drug addiction and HIV research. The scope of the data housed at NAHDAP covers a wide range of legal and illicit drugs (alcohol, tobacco, marijuana, cocaine, synthetic drugs, and others) and the trajectories, patterns, and consequences of drug use as well as related predictors and outcomes.","abbreviation":"NAHDAP","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/announcements.html","name":"News","type":"Blog/News"},{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/contact.html","name":"General Contact Information and Form","type":"Contact form"},{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/help/index.html","name":"Help and FAQ","type":"Help documentation"},{"url":"https://www.youtube.com/user/icpsrweb?feature=results_main","name":"YouTube Tutorials","type":"Video"},{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/training.html","name":"Training and Support","type":"Training documentation"},{"url":"https://twitter.com/NAHDAP1","name":"@NAHDAP1","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010261","name":"re3data:r3d100010261","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000636","name":"SciCrunch:RRID:SCR_000636","portal":"SciCrunch"}],"data_access_condition":{"type":"partially open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/deposit/index.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000482","bsg-d000482"],"name":"FAIRsharing record for: National Addiction \u0026 HIV Data Archive Program","abbreviation":"NAHDAP","url":"https://fairsharing.org/10.25504/FAIRsharing.k34tv5","doi":"10.25504/FAIRsharing.k34tv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NAHDAP acquires, preserves and disseminates data relevant to drug addiction and HIV research. The scope of the data housed at NAHDAP covers a wide range of legal and illicit drugs (alcohol, tobacco, marijuana, cocaine, synthetic drugs, and others) and the trajectories, patterns, and consequences of drug use as well as related predictors and outcomes.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10784},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10957},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11080}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social Science","Biomedical Science"],"domains":["Drug","Addiction","Disease"],"taxonomies":["Homo sapiens","Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NAHDAP Data Sharing Policies","licence_id":531,"licence_url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/irbs-data-sharing.html","link_id":2390,"relation":"undefined"}],"grants":[{"id":1405,"fairsharing_record_id":2016,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:25:05.454Z","updated_at":"2021-09-30T09:25:05.454Z","grant_id":null,"is_lead":true,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1406,"fairsharing_record_id":2016,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:05.500Z","updated_at":"2021-09-30T09:25:05.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2017","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:55:34.430Z","metadata":{"doi":"10.25504/FAIRsharing.a7p1zt","name":"NIDA Data Share","status":"ready","contacts":[],"homepage":"https://datashare.nida.nih.gov","citations":[],"identifier":2017,"description":"The NIDA Data Share web site is an electronic environment that allows data from completed clinical trials to be distributed to investigators and the public in order to promote new research, encourage further analyses, and disseminate information to the community. Secondary analyses produced from data sharing multiply the scientific contribution of the original research.","abbreviation":"NIDA","data_curation":{"type":"not found"},"support_links":[{"url":"https://datashare.nida.nih.gov/contact","type":"Contact form"},{"url":"https://datashare.nida.nih.gov/content/frequently-asked-questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://datashare.nida.nih.gov/content/about-us","type":"Help documentation"},{"url":"https://datashare.nida.nih.gov/assessments","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"url":"https://datashare.nida.nih.gov/","type":"open","notes":"Users will have to register a name and valid e-mail address in order to download data and to accept their responsibility for using data in accordance with the NIDA Data Share Agreement"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000483","bsg-d000483"],"name":"FAIRsharing record for: NIDA Data Share","abbreviation":"NIDA","url":"https://fairsharing.org/10.25504/FAIRsharing.a7p1zt","doi":"10.25504/FAIRsharing.a7p1zt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NIDA Data Share web site is an electronic environment that allows data from completed clinical trials to be distributed to investigators and the public in order to promote new research, encourage further analyses, and disseminate information to the community. Secondary analyses produced from data sharing multiply the scientific contribution of the original research.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10785},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11081},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12675}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Biomedical Science","Preclinical Studies"],"domains":["Drug","Addiction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":463,"pubmed_id":20126428,"title":"The Place of Adoption in the NIDA Clinical Trials Network.","year":2008,"url":"http://doi.org/10.1177/002204260803800408","authors":"Jessup MA., Guydish J., Manser ST., Tajima B.,","journal":"J Drug Issues","doi":"10.1177/002204260803800408","created_at":"2021-09-30T08:23:10.342Z","updated_at":"2021-09-30T08:23:10.342Z"}],"licence_links":[{"licence_name":"NIH NIDA Data Privacy Policy","licence_id":586,"licence_url":"https://www.drugabuse.gov/privacy","link_id":983,"relation":"undefined"},{"licence_name":"Web Accessibility Policy for the NIH NIDA","licence_id":858,"licence_url":"https://www.drugabuse.gov/accessibility","link_id":984,"relation":"undefined"}],"grants":[{"id":1408,"fairsharing_record_id":2017,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:05.572Z","updated_at":"2021-09-30T09:25:05.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1407,"fairsharing_record_id":2017,"organisation_id":2029,"relation":"maintains","created_at":"2021-09-30T09:25:05.539Z","updated_at":"2021-09-30T09:25:05.539Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2004","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T05:34:46.410Z","metadata":{"doi":"10.25504/FAIRsharing.mewhad","name":"ClinicalTrials.gov","status":"ready","contacts":[{"contact_name":"NLM Communications","contact_email":"NLMCommunications@nih.gov","contact_orcid":null}],"homepage":"https://clinicaltrials.gov/","citations":[],"identifier":2004,"description":"ClinicalTrials.gov hosts a large collection of clinical studies from around the world. You can search for clinical studies by condition or disease name or other terms such as a drug name. Note: ClinicalTrials.gov is an official website of the U.S. Department of Health and Human Services, National Institutes of Health, National Library of Medicine, and National Center for Biotechnology Information. The National Library of Medicine (NLM) maintains this website. ","abbreviation":null,"data_curation":{"url":"https://clinicaltrials.gov/ct2/manage-recs/resources#DataElement","type":"manual","notes":"Data Element Definitions, Templates, and Checklists"},"support_links":[{"url":"helpdesk@ecma-international.org","name":"ECMA Specification Helpdesk","type":"Support email"},{"url":"https://www.json.org/json-en.html","name":"ECMA Specification Documentation","type":"Help documentation"},{"url":"https://www.rfc-editor.org/errata/rfc8259","name":"View RFC Errata","type":"Help documentation"},{"url":"https://fr.wikipedia.org/wiki/JavaScript_Object_Notation","name":"Wikipedia","type":"Wikipedia"},{"url":"https://clinicaltrials.gov/ct2/about-studies/glossary","name":"Glossary of Common Site Terms","type":"Help documentation"},{"url":"https://clinicaltrials.gov/ct2/manage-recs/resources#DataElement","name":"Data Element Definitions, Templates, and Checklists","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://grants.nih.gov/policy/humansubjects/hs-decision.htm","name":"NIH Decision Tool: Human Subjects Questionnaires"},{"url":"https://grants.nih.gov/ct-decision/index.htm","name":"NIH Decision Tool: Clinical Trials Questionnaires"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010211","name":"re3data:r3d100010211","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002309","name":"SciCrunch:RRID:SCR_002309","portal":"SciCrunch"}],"data_access_condition":{"url":"https://clinicaltrials.gov/ct2/about-site/terms-conditions#Availability","type":"partially open","notes":"https://clinicaltrials.gov/ct2/about-site/terms-conditions#Availability"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/bmic-about.html","name":"sustained support"},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html","name":"NIH-Supported Data Sharing Resource"},"data_deposition_condition":{"url":"https://clinicaltrials.gov/ct2/manage-recs/submit-study","type":"controlled","notes":"Protocol Registration and Results System (PRS) Registration Required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000470","bsg-d000470"],"name":"FAIRsharing record for: ClinicalTrials.gov","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.mewhad","doi":"10.25504/FAIRsharing.mewhad","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ClinicalTrials.gov hosts a large collection of clinical studies from around the world. You can search for clinical studies by condition or disease name or other terms such as a drug name. Note: ClinicalTrials.gov is an official website of the U.S. Department of Health and Human Services, National Institutes of Health, National Library of Medicine, and National Center for Biotechnology Information. The National Library of Medicine (NLM) maintains this website. ","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17402},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10780},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10956},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11073},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12313},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12673}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Data Management","Immunology","Pharmacology","Biomedical Science","Omics","Epidemiology","Preclinical Studies"],"domains":["Drug report","Resource metadata","Biobank","Protocol","Study design","Disease","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":468,"pubmed_id":15361058,"title":"Design, implementation and management of a web-based data entry system for ClinicalTrials.gov.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/15361058","authors":"Gillen JE., Tse T., Ide NC., McCray AT.,","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:23:10.860Z","updated_at":"2021-09-30T08:23:10.860Z"},{"id":1209,"pubmed_id":27294570,"title":"ClinicalTrials.gov and Drugs@FDA: A Comparison of Results Reporting for New Drug Approval Trials.","year":2016,"url":"http://doi.org/10.7326/M15-2658","authors":"Schwartz LM,Woloshin S,Zheng E,Tse T,Zarin DA","journal":"Ann Intern Med","doi":"10.7326/M15-2658","created_at":"2021-09-30T08:24:34.749Z","updated_at":"2021-09-30T08:24:34.749Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":2890,"relation":"applies_to_content"},{"licence_name":"NLM NIH Copyright","licence_id":593,"licence_url":"http://www.nlm.nih.gov/copyright.html","link_id":2889,"relation":"applies_to_content"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1866,"relation":"undefined"},{"licence_name":"HHS Vulnerability Disclosure Policy","licence_id":965,"licence_url":"https://www.hhs.gov/vulnerability-disclosure-policy/index.html","link_id":2892,"relation":"applies_to_content"},{"licence_name":"ClinivalTrials.gov Terms \u0026 Conditions ( May 2014)","licence_id":995,"licence_url":"https://clinicaltrials.gov/ct2/about-site/terms-conditions","link_id":2891,"relation":"applies_to_content"}],"grants":[{"id":1377,"fairsharing_record_id":2004,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:04.500Z","updated_at":"2021-09-30T09:25:04.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9926,"fairsharing_record_id":2004,"organisation_id":2944,"relation":"associated_with","created_at":"2022-09-27T21:49:03.027Z","updated_at":"2022-09-27T21:49:03.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":9927,"fairsharing_record_id":2004,"organisation_id":2035,"relation":"funds","created_at":"2022-09-27T21:49:03.029Z","updated_at":"2022-09-27T21:49:03.029Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9928,"fairsharing_record_id":2004,"organisation_id":3716,"relation":"associated_with","created_at":"2022-09-27T21:49:03.154Z","updated_at":"2022-09-27T21:49:03.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":3716,"name":"The U.S. Department of Health \u0026 Human Services, Office of Inspector General","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2005","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-08T10:41:57.414Z","metadata":{"doi":"10.25504/FAIRsharing.qrw6b7","name":"Rice Genome Annotation Project","status":"ready","contacts":[{"contact_name":"C. Robin Buell","contact_email":"buell@msu.edu"}],"homepage":"http://rice.uga.edu/","citations":[],"identifier":2005,"description":"This website provides genome sequence from the Nipponbare subspecies of rice and annotation of the 12 rice chromosomes. These data are available through search pages and the Genome Browser that provides an integrated display of annotation data.","abbreviation":"RGAP","data_curation":{"url":"http://rice.uga.edu/annotation_community_info.shtml","type":"manual"},"support_links":[{"url":"buell.lab.web@gmail.com","type":"Support email"},{"url":"http://rice.uga.edu/home_faq.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://rice.uga.edu/home_training_opportunities.shtml","type":"Training documentation"},{"url":"http://rice.uga.edu/home_overview.shtml","name":"Home Overview","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000471","bsg-d000471"],"name":"FAIRsharing record for: Rice Genome Annotation Project","abbreviation":"RGAP","url":"https://fairsharing.org/10.25504/FAIRsharing.qrw6b7","doi":"10.25504/FAIRsharing.qrw6b7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This website provides genome sequence from the Nipponbare subspecies of rice and annotation of the 12 rice chromosomes. These data are available through search pages and the Genome Browser that provides an integrated display of annotation data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Chromosome"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1508,"pubmed_id":17145706,"title":"The TIGR Rice Genome Annotation Resource: improvements and new features.","year":2006,"url":"http://doi.org/10.1093/nar/gkl976","authors":"Ouyang S., Zhu W., Hamilton J., Lin H., Campbell M., Childs K., Thibaud-Nissen F., Malek RL., Lee Y., Zheng L., Orvis J., Haas B., Wortman J., Buell CR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl976","created_at":"2021-09-30T08:25:08.828Z","updated_at":"2021-09-30T08:25:08.828Z"}],"licence_links":[{"licence_name":"Rice Genome Annotation Project Attribution required","licence_id":712,"licence_url":"http://rice.plantbiology.msu.edu/index.shtml","link_id":115,"relation":"undefined"}],"grants":[{"id":1378,"fairsharing_record_id":2005,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:04.529Z","updated_at":"2021-09-30T09:29:19.375Z","grant_id":195,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-0321538","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8374,"fairsharing_record_id":2005,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:19.109Z","updated_at":"2021-09-30T09:32:19.154Z","grant_id":1564,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-0834043","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11698,"fairsharing_record_id":2005,"organisation_id":4334,"relation":"maintains","created_at":"2024-04-08T09:26:28.078Z","updated_at":"2024-04-08T09:26:28.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":4334,"name":"College of Agricultural \u0026 Environmental Sciences, University of Georgia, Athens, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2020","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-14T14:04:18.793Z","metadata":{"doi":"10.25504/FAIRsharing.t5ha5j","name":"Cell Centered Database","status":"deprecated","contacts":[{"contact_name":"CCDB Webmaster","contact_email":"webmaster@ccdb.ucsd.edu"}],"homepage":"http://ccdb.ucsd.edu/home","citations":[],"identifier":2020,"description":"The Cell Centered Database (CCDB) is a web accessible database for high resolution 2D, 3D and 4D data from light and electron microscopy, including correlated imaging.","abbreviation":"CCDB","data_curation":{},"support_links":[{"url":"http://ccdb.ucsd.edu/help/index.shtm","type":"Help documentation"},{"url":"https://twitter.com/ccdbuser","type":"Twitter"}],"year_creation":1998,"data_versioning":"not found","associated_tools":[{"url":"http://ccdb.ucsd.edu/sand/jsp/lite_search.jsp","name":"advanced search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100000018","name":"r3d100000018","portal":"re3data"}],"deprecation_date":"2017-01-01","deprecation_reason":"The contents of this resource were merged with the Cell Image Library in 2017. For more information, see also http://library.ucsd.edu/dc/collection/bb5940732k","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000487","bsg-d000487"],"name":"FAIRsharing record for: Cell Centered Database","abbreviation":"CCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.t5ha5j","doi":"10.25504/FAIRsharing.t5ha5j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Centered Database (CCDB) is a web accessible database for high resolution 2D, 3D and 4D data from light and electron microscopy, including correlated imaging.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11084}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Cell","Microscopy","Imaging","Image"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Digital reconstruction"],"countries":["United States"],"publications":[{"id":455,"pubmed_id":15043222,"title":"The cell-centered database: a database for multiscale structural and protein localization data from light and electron microscopy.","year":2004,"url":"http://doi.org/10.1385/NI:1:4:379","authors":"Martone ME., Zhang S., Gupta A., Qian X., He H., Price DL., Wong M., Santini S., Ellisman MH.,","journal":"Neuroinformatics","doi":"10.1385/NI:1:4:379","created_at":"2021-09-30T08:23:09.384Z","updated_at":"2021-09-30T08:23:09.384Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":17,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":19,"relation":"undefined"}],"grants":[{"id":1414,"fairsharing_record_id":2020,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:05.800Z","updated_at":"2021-09-30T09:25:05.800Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1415,"fairsharing_record_id":2020,"organisation_id":1967,"relation":"maintains","created_at":"2021-09-30T09:25:05.839Z","updated_at":"2021-09-30T09:25:05.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1967,"name":"National Center for Microscopy and Imaging Research (NCMIR), La Jolla, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2033","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:34:58.678Z","metadata":{"doi":"10.25504/FAIRsharing.qe8tz8","name":"HOGENOM","status":"ready","contacts":[{"contact_name":"Simon Penel","contact_email":"penel@biomserv.univ-lyon1.fr"}],"homepage":"http://hogenom.univ-lyon1.fr/","identifier":2033,"description":"HOGENOM is a phylogenomic database providing families of homologous genes and associated phylogenetic trees (and sequence alignments) for a wide set sequenced organisms.","abbreviation":"HOGENOM","data_curation":{"url":"http://hogenom.univ-lyon1.fr/doc","type":"manual/automated","notes":"Data has been selected, clustered, aligned, etc ..."},"support_links":[{"url":"http://hogenom.univ-lyon1.fr/about","type":"Help documentation"},{"url":"http://hogenom.univ-lyon1.fr/doc","type":"Help documentation"},{"url":"http://hogenom.univ-lyon1.fr/contents","name":"Information about the content","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","data_access_condition":{"url":"http://hogenom.univ-lyon1.fr/doc","type":"open","notes":"licensed under http://www.cecill.info licence"},"data_contact_information":"yes","data_deposition_condition":{"url":"http://hogenom.univ-lyon1.fr/doc","type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000500","bsg-d000500"],"name":"FAIRsharing record for: HOGENOM","abbreviation":"HOGENOM","url":"https://fairsharing.org/10.25504/FAIRsharing.qe8tz8","doi":"10.25504/FAIRsharing.qe8tz8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HOGENOM is a phylogenomic database providing families of homologous genes and associated phylogenetic trees (and sequence alignments) for a wide set sequenced organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11352},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12168}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Phylogenetics","Life Science"],"domains":["Classification","Sequence","Homologous","Orthologous"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":508,"pubmed_id":19534752,"title":"Databases of homologous gene families for comparative genomics.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-S6-S3","authors":"Penel S., Arigon AM., Dufayard JF., Sertier AS., Daubin V., Duret L., Gouy M., Perrière G.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-S6-S3","created_at":"2021-09-30T08:23:15.409Z","updated_at":"2021-09-30T08:23:15.409Z"}],"licence_links":[{"licence_name":"CeCILL license","licence_id":112,"licence_url":"https://cecill.info/licences.fr.html","link_id":296,"relation":"undefined"}],"grants":[{"id":1454,"fairsharing_record_id":2033,"organisation_id":2298,"relation":"maintains","created_at":"2021-09-30T09:25:07.176Z","updated_at":"2021-09-30T09:25:07.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":2298,"name":"PBIL, Lyon, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1455,"fairsharing_record_id":2033,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:07.215Z","updated_at":"2021-09-30T09:32:21.586Z","grant_id":1584,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-08-EMER-011-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2034","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T13:22:45.184Z","metadata":{"doi":"10.25504/FAIRsharing.dg1f0e","name":"Homologous Vertebrate Genes Database","status":"deprecated","contacts":[{"contact_name":"Laurent Duret","contact_email":"duret@biomserv.univ-lyon1.fr","contact_orcid":"0000-0003-2836-3463"}],"homepage":"http://pbil.univ-lyon1.fr/databases/hovergen.html","citations":[],"identifier":2034,"description":"HOVERGEN is a database of homologous vertebrate genes that allows one to select sets of homologous genes among vertebrate species, and to visualize multiple alignments and phylogenetic trees.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","abbreviation":"HOVERGEN","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2024-04-17","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000501","bsg-d000501"],"name":"FAIRsharing record for: Homologous Vertebrate Genes Database","abbreviation":"HOVERGEN","url":"https://fairsharing.org/10.25504/FAIRsharing.dg1f0e","doi":"10.25504/FAIRsharing.dg1f0e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HOVERGEN is a database of homologous vertebrate genes that allows one to select sets of homologous genes among vertebrate species, and to visualize multiple alignments and phylogenetic trees.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Protein","Gene"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":495,"pubmed_id":15713731,"title":"Tree pattern matching in phylogenetic trees: automatic search for orthologs or paralogs in homologous gene sequence databases.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti325","authors":"Dufayard JF., Duret L., Penel S., Gouy M., Rechenmann F., Perrière G.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti325","created_at":"2021-09-30T08:23:13.791Z","updated_at":"2021-09-30T08:23:13.791Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1253,"relation":"undefined"}],"grants":[{"id":1456,"fairsharing_record_id":2034,"organisation_id":2298,"relation":"maintains","created_at":"2021-09-30T09:25:07.252Z","updated_at":"2021-09-30T09:25:07.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":2298,"name":"PBIL, Lyon, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2035","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:15.542Z","metadata":{"doi":"10.25504/FAIRsharing.vssch2","name":"PIR SuperFamily","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"pirmail@georgetown.edu"}],"homepage":"https://proteininformationresource.org/pirwww/dbinfo/pirsf.shtml","identifier":2035,"description":"The PIR SuperFamily concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships.","abbreviation":"PIRSF","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://proteininformationresource.org/pirwww/about/doc/tutorials/pirsftutorial.ppt","name":"Tutorial (PPT)","type":"Training documentation"}],"year_creation":1984,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://proteininformationresource.org/pirwww/about/linkpir.shtml","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000502","bsg-d000502"],"name":"FAIRsharing record for: PIR SuperFamily","abbreviation":"PIRSF","url":"https://fairsharing.org/10.25504/FAIRsharing.vssch2","doi":"10.25504/FAIRsharing.vssch2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PIR SuperFamily concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Molecular structure","Sequence cluster","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2898,"pubmed_id":14681371,"title":"PIRSF: family classification system at the Protein Information Resource.","year":2003,"url":"http://doi.org/10.1093/nar/gkh097","authors":"Wu CH., Nikolskaya A., Huang H., Yeh LS., Natale DA., Vinayaka CR., Hu ZZ., Mazumder R., Kumar S., Kourtesis P., Ledley RS., Suzek BE., Arminski L., Chen Y., Zhang J., Cardenas JL., Chung S., Castro-Alvear J., Dinkov G., Barker WC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh097","created_at":"2021-09-30T08:27:56.848Z","updated_at":"2021-09-30T08:27:56.848Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1932,"relation":"undefined"},{"licence_name":"PIR Terms of Use","licence_id":669,"licence_url":"https://proteininformationresource.org/pirwww/dbinfo/pirsf.shtml","link_id":1933,"relation":"undefined"}],"grants":[{"id":1459,"fairsharing_record_id":2035,"organisation_id":3047,"relation":"maintains","created_at":"2021-09-30T09:25:07.434Z","updated_at":"2021-09-30T09:25:07.434Z","grant_id":null,"is_lead":false,"saved_state":{"id":3047,"name":"University of Delaware, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1462,"fairsharing_record_id":2035,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:07.547Z","updated_at":"2021-09-30T09:25:07.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1458,"fairsharing_record_id":2035,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:07.395Z","updated_at":"2021-09-30T09:25:07.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1460,"fairsharing_record_id":2035,"organisation_id":1129,"relation":"maintains","created_at":"2021-09-30T09:25:07.477Z","updated_at":"2021-09-30T09:25:07.477Z","grant_id":null,"is_lead":false,"saved_state":{"id":1129,"name":"Georgetown University Medical Center , Georgetown University, Washington DC, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9244,"fairsharing_record_id":2035,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.911Z","updated_at":"2022-04-11T12:07:24.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2036","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-24T15:02:05.285Z","metadata":{"doi":"10.25504/FAIRsharing.bdv7z3","name":"PRofils pour l'Identification Automatique du Metabolisme","status":"deprecated","contacts":[{"contact_name":"Daniel Kahn","contact_email":"dkahn@toulouse.inra.fr"}],"homepage":"http://priam.prabi.fr/","citations":[],"identifier":2036,"description":"In English, PRIAM stands for enzyme-specific profiles for metabolic pathway prediction. PRIAM is a method for automated enzyme detection in a fully sequenced genome, based on all sequences available in the ENZYME database.","abbreviation":"PRIAM","data_curation":{"type":"not found"},"support_links":[{"url":"priam@listes.univ-lyon1.fr","type":"Support email"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000503","bsg-d000503"],"name":"FAIRsharing record for: PRofils pour l'Identification Automatique du Metabolisme","abbreviation":"PRIAM","url":"https://fairsharing.org/10.25504/FAIRsharing.bdv7z3","doi":"10.25504/FAIRsharing.bdv7z3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In English, PRIAM stands for enzyme-specific profiles for metabolic pathway prediction. PRIAM is a method for automated enzyme detection in a fully sequenced genome, based on all sequences available in the ENZYME database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":["Genome Context","Metabolic pathway prediction profile"],"countries":["France"],"publications":[{"id":486,"pubmed_id":14602924,"title":"Enzyme-specific profiles for genome annotation: PRIAM.","year":2003,"url":"http://doi.org/10.1093/nar/gkg847","authors":"Claudel-Renard C., Chevalet C., Faraut T., Kahn D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg847","created_at":"2021-09-30T08:23:12.859Z","updated_at":"2021-09-30T08:23:12.859Z"}],"licence_links":[],"grants":[{"id":1463,"fairsharing_record_id":2036,"organisation_id":2439,"relation":"maintains","created_at":"2021-09-30T09:25:07.571Z","updated_at":"2021-09-30T09:25:07.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2037","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:34:37.714Z","metadata":{"doi":"10.25504/FAIRsharing.c54ywe","name":"ArachnoServer: Spider toxin database","status":"deprecated","contacts":[{"contact_name":"Glenn King","contact_email":"glenn.king@imb.uq.edu.au"}],"homepage":"http://www.arachnoserver.org","identifier":2037,"description":"ArachnoServer is a manually curated database containing information on the sequence, three-dimensional structure, and biological activity of protein toxins derived from spider venom.","abbreviation":"ArachnoServer","data_curation":{"type":"not found"},"support_links":[{"url":"support@arachnoserver.org","type":"Support email"},{"url":"http://www.arachnoserver.org/docs/ArachnoServerUserManual.pdf","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://www.arachnoserver.org/blastForm.html","name":"BLAST"},{"url":"http://www.arachnoserver.org/toxNoteMainMenu.html","name":"ToxNote"}],"deprecation_date":"2021-06-24","deprecation_reason":"The database is no longer available. Message on the homepage : \"Unfortunately, given the age of the database and the fact that it was no longer compliant with today’s safety standards of web hosting by The University of Queensland (as exposed by recent hacker attacks), it was decided to take ArachnoServer offline, until a more permanent solution can be found to fix these issues (which might require rebuilding the entire database from scratch). As soon as we have decided how to proceed we will make an announcement in the IST newsletter. We are sorry for this inconvenience, but at least the existing toxin records should still be available via UniProt.\"","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000504","bsg-d000504"],"name":"FAIRsharing record for: ArachnoServer: Spider toxin database","abbreviation":"ArachnoServer","url":"https://fairsharing.org/10.25504/FAIRsharing.c54ywe","doi":"10.25504/FAIRsharing.c54ywe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ArachnoServer is a manually curated database containing information on the sequence, three-dimensional structure, and biological activity of protein toxins derived from spider venom.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11247},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16647}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Drug","Protein","Toxicity"],"taxonomies":["Arachnida"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":492,"pubmed_id":21036864,"title":"ArachnoServer 2.0, an updated online resource for spider toxin sequences and structures.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1058","authors":"Herzig V., Wood DL., Newell F., Chaumeil PA., Kaas Q., Binford GJ., Nicholson GM., Gorse D., King GF.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1058","created_at":"2021-09-30T08:23:13.477Z","updated_at":"2021-09-30T08:23:13.477Z"}],"licence_links":[],"grants":[{"id":1465,"fairsharing_record_id":2037,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:25:07.626Z","updated_at":"2021-09-30T09:25:07.626Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1466,"fairsharing_record_id":2037,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:25:07.662Z","updated_at":"2021-09-30T09:29:16.203Z","grant_id":168,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"DP0774245","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1464,"fairsharing_record_id":2037,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:07.597Z","updated_at":"2021-09-30T09:25:07.597Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1467,"fairsharing_record_id":2037,"organisation_id":2395,"relation":"maintains","created_at":"2021-09-30T09:25:07.698Z","updated_at":"2021-09-30T09:25:07.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":2395,"name":"Queensland Facility for Advanced Bioinformatics, Australia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":8442,"fairsharing_record_id":2037,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:32:39.668Z","updated_at":"2021-09-30T09:32:39.716Z","grant_id":1722,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"DP0878450","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2029","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:19.270Z","metadata":{"doi":"10.25504/FAIRsharing.hcr23j","name":"Biospecimens/Biorepositories: Rare Disease Hub","status":"deprecated","contacts":[{"contact_email":"ordr@nih.gov"}],"homepage":"http://biospecimens.ordr.info.nih.gov/default.aspx","identifier":2029,"description":"The Biospecimens/Biorepositories Website: Rare Disease-HUB (RD-HUB) contains a searchable database of biospecimens collected, stored, and distributed by biorepositories in the United States and around the globe. RD-HUB is designed to help and assist interested parties and investigators search, locate, and identify desired biospecimens needed for the research and to facilitate collaboration and sharing of material and data among investigators across the globe.","abbreviation":"RD-HUB","data_curation":{"type":"not found"},"support_links":[{"url":"http://biospecimens.ordr.info.nih.gov/Contact.aspx","type":"Contact form"},{"url":"http://biospecimens.ordr.info.nih.gov/FAQs.aspx","type":"Frequently Asked Questions (FAQs)"},{"url":"http://rarediseases.info.nih.gov/files/Permitted_Field_Values.xlsx","type":"Help documentation"},{"url":"http://rarediseases.info.nih.gov/files/User_Manual_Database_Search.pdf","type":"Training documentation"},{"url":"http://rarediseases.info.nih.gov/files/User_Manual_Data_Entry.pdf","type":"Training documentation"},{"url":"https://twitter.com/Biospecimens","type":"Twitter"}],"data_versioning":"not found","associated_tools":[{"url":"http://biospecimens.ordr.info.nih.gov/Contributingrepository.aspx","name":"submit"},{"url":"http://biospecimens.ordr.info.nih.gov/Locator.aspx","name":"search"}],"deprecation_date":"2016-06-30","deprecation_reason":"Discussion with Henrietta Hyatt-Knorr from NIH NCATS reveals that this database is no longer available and has been replaced by a list of resources, at http://www.ncats.nih.gov/grdr/rdhub","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000496","bsg-d000496"],"name":"FAIRsharing record for: Biospecimens/Biorepositories: Rare Disease Hub","abbreviation":"RD-HUB","url":"https://fairsharing.org/10.25504/FAIRsharing.hcr23j","doi":"10.25504/FAIRsharing.hcr23j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biospecimens/Biorepositories Website: Rare Disease-HUB (RD-HUB) contains a searchable database of biospecimens collected, stored, and distributed by biorepositories in the United States and around the globe. RD-HUB is designed to help and assist interested parties and investigators search, locate, and identify desired biospecimens needed for the research and to facilitate collaboration and sharing of material and data among investigators across the globe.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11092}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Biological sample annotation","Biological sample","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1444,"fairsharing_record_id":2029,"organisation_id":2269,"relation":"maintains","created_at":"2021-09-30T09:25:06.820Z","updated_at":"2021-09-30T09:25:06.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2269,"name":"ORDR","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2024","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:43.249Z","metadata":{"doi":"10.25504/FAIRsharing.hsyjka","name":"National Database for Autism Research","status":"deprecated","contacts":[{"contact_email":"ndarhelp@mail.nih.gov"}],"homepage":"http://ndar.nih.gov/","identifier":2024,"description":"National Database for Autism Research (NDAR) is an extensible, scalable informatics platform for austism spectrum disorder-relevant data at all levels of biological and behavioral organization (molecules, genes, neural tissue, behavioral, social and environmental interactions) and for all data types (text, numeric, image, time series, etc.). NDAR was developed to share data across the entire ASD field and to facilitate collaboration across laboratories, as well as interconnectivity with other informatics platforms.","abbreviation":"NDAR","data_curation":{"type":"not found"},"support_links":[{"url":"NDARHelp@mail.nih.gov","type":"Support email"},{"url":"https://ndar.nih.gov/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ndar.nih.gov/training.html","type":"Training documentation"},{"url":"https://twitter.com/NDAR_NIH","type":"Twitter"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://ndar.nih.gov/contribute.html","name":"Submission Process"},{"url":"http://ndar.nih.gov/query_data.html","name":"Query"},{"url":"http://ndar.nih.gov/data_from_labs.html","name":"Browse"},{"url":"http://ndar.nih.gov/cloud_overview.html","name":"Cloud User Access"}],"deprecation_date":"2020-10-25","deprecation_reason":"This resource has been merged with the NIMH Data Archive.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000491","bsg-d000491"],"name":"FAIRsharing record for: National Database for Autism Research","abbreviation":"NDAR","url":"https://fairsharing.org/10.25504/FAIRsharing.hsyjka","doi":"10.25504/FAIRsharing.hsyjka","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: National Database for Autism Research (NDAR) is an extensible, scalable informatics platform for austism spectrum disorder-relevant data at all levels of biological and behavioral organization (molecules, genes, neural tissue, behavioral, social and environmental interactions) and for all data types (text, numeric, image, time series, etc.). NDAR was developed to share data across the entire ASD field and to facilitate collaboration across laboratories, as well as interconnectivity with other informatics platforms.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10790},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10959},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11088}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Autistic disorder","Behavior","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":480,"pubmed_id":22622767,"title":"Sharing heterogeneous data: the national database for autism research.","year":2012,"url":"http://doi.org/10.1007/s12021-012-9151-4","authors":"Hall D., Huerta MF., McAuliffe MJ., Farber GK.,","journal":"Neuroinformatics","doi":"10.1007/s12021-012-9151-4","created_at":"2021-09-30T08:23:12.159Z","updated_at":"2021-09-30T08:23:12.159Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":134,"relation":"undefined"}],"grants":[{"id":1427,"fairsharing_record_id":2024,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:06.242Z","updated_at":"2021-09-30T09:25:06.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1428,"fairsharing_record_id":2024,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:06.281Z","updated_at":"2021-09-30T09:25:06.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2026","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:12:05.115Z","metadata":{"doi":"10.25504/FAIRsharing.72j8ph","name":"Parkinson's Disease Biomarkers Program Data Management Resource","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"PDBP-HELP@mail.nih.gov"}],"homepage":"https://pdbp.ninds.nih.gov/","identifier":2026,"description":"The NINDS Parkinson's Disease (PD) Biomarkers Program Data Management Resource enables web-based data entry for clinical studies supporting PD biomarker development, as well as broad data sharing (imaging, clinical, genetic, and biospecimen analysis) across the entire PD research community. The PDBP DMR coordinates information and access to PD biospecimens distributed through the NINDS Human Genetics, DNA, iPSC , Cell Line and Biospecimen Repository and the Harvard Neurodiscovery Initiative.","abbreviation":"PDBP DMR","data_curation":{"type":"not found"},"support_links":[{"url":"https://pdbp.ninds.nih.gov/policy","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"url":"https://pdbp.ninds.nih.gov/how-to-guide#request-access-to-the-dmr","type":"controlled","notes":"Request access to the DMR"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://pdbp.ninds.nih.gov/how-to-guide#submit-data-to-the-dmr","type":"controlled","notes":"A data submission request form and DMR Data Use Certificate must be completed, signed, and approved."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000493","bsg-d000493"],"name":"FAIRsharing record for: Parkinson's Disease Biomarkers Program Data Management Resource","abbreviation":"PDBP DMR","url":"https://fairsharing.org/10.25504/FAIRsharing.72j8ph","doi":"10.25504/FAIRsharing.72j8ph","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NINDS Parkinson's Disease (PD) Biomarkers Program Data Management Resource enables web-based data entry for clinical studies supporting PD biomarker development, as well as broad data sharing (imaging, clinical, genetic, and biospecimen analysis) across the entire PD research community. The PDBP DMR coordinates information and access to PD biospecimens distributed through the NINDS Human Genetics, DNA, iPSC , Cell Line and Biospecimen Repository and the Harvard Neurodiscovery Initiative.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10792},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11090}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Biological sample annotation","Biomarker","Parkinson's disease","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"FOIA","licence_id":320,"licence_url":"https://www.nih.gov/institutes-nih/nih-office-director/office-communications-public-liaison/freedom-information-act-office","link_id":408,"relation":"undefined"},{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":411,"relation":"undefined"},{"licence_name":"PDBP Privacy Policy","licence_id":653,"licence_url":"https://pdbp.ninds.nih.gov/privacy","link_id":412,"relation":"undefined"}],"grants":[{"id":9314,"fairsharing_record_id":2026,"organisation_id":2023,"relation":"maintains","created_at":"2022-04-11T12:07:29.779Z","updated_at":"2022-04-11T12:07:29.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2027","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:54.310Z","metadata":{"doi":"10.25504/FAIRsharing.mbgt2n","name":"Oryzabase","status":"ready","contacts":[{"contact_name":"Nori Kurata","contact_email":"nkurata@lab.nig.ac.jp"}],"homepage":"http://www.shigen.nig.ac.jp/rice/oryzabase/","identifier":2027,"description":"The Oryzabase is a comprehensive rice science database established in 2000 by rice researcher's committee in Japan. The Oryzabase consists of five parts, (1) genetic resource stock information, (2) gene dictionary, (3) chromosome maps, (4) mutant images, and (5) fundamental knowledge of rice science.","abbreviation":"Oryzabase","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.shigen.nig.ac.jp/rice/oryzabaseV4/about/contactUs","type":"Contact form"},{"url":"http://shigen.nig.ac.jp/rice/oryzabase/about/updateInfo","type":"Help documentation"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"http://www.shigen.nig.ac.jp/rice/oryzabaseV4/blast/search","name":"BLAST"},{"url":"http://shigen.nig.ac.jp/rice/seganalysis/","name":"SegAnalysis"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://shigen.nig.ac.jp/rice/oryzabase_submission/gene_nomenclature/","type":"open","notes":"Genes can be submitted using an online submission form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000494","bsg-d000494"],"name":"FAIRsharing record for: Oryzabase","abbreviation":"Oryzabase","url":"https://fairsharing.org/10.25504/FAIRsharing.mbgt2n","doi":"10.25504/FAIRsharing.mbgt2n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oryzabase is a comprehensive rice science database established in 2000 by rice researcher's committee in Japan. The Oryzabase consists of five parts, (1) genetic resource stock information, (2) gene dictionary, (3) chromosome maps, (4) mutant images, and (5) fundamental knowledge of rice science.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Classification","Structure","Gene","Genome"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":339,"pubmed_id":16403737,"title":"Oryzabase. An integrated biological and genome information database for rice.","year":2006,"url":"http://doi.org/10.1104/pp.105.063008","authors":"Kurata N., Yamazaki Y.,","journal":"Plant Physiol.","doi":"10.1104/pp.105.063008","created_at":"2021-09-30T08:22:56.483Z","updated_at":"2021-09-30T08:22:56.483Z"}],"licence_links":[],"grants":[{"id":1436,"fairsharing_record_id":2027,"organisation_id":2182,"relation":"maintains","created_at":"2021-09-30T09:25:06.593Z","updated_at":"2021-09-30T09:25:06.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":2182,"name":"North Pacific Research Board (NPRB), USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2040","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:59.968Z","metadata":{"doi":"10.25504/FAIRsharing.52qw6p","name":"Description of Plant Viruses","status":"ready","contacts":[{"contact_name":"Mike Adams","contact_email":"mike.adams@bbsrc.ac.uk"}],"homepage":"http://www.dpvweb.net","identifier":2040,"description":"DPVweb provides a central source of information about viruses, viroids and satellites of plants, fungi and protozoa. Comprehensive taxonomic information, including brief descriptions of each family and genus, and classified lists of virus sequences are provided. The database also holds detailed, curated, information for all sequences of viruses, viroids and satellites of plants, fungi and protozoa that are complete or that contain at least one complete gene. The database will not be updated with sequence or taxonomic data from Aug 2013.","abbreviation":"DPVweb","data_curation":{"url":"https://www.dpvweb.net/","type":"manual","notes":"The automated submission forms generate PDFs that are reviewed by the AAB Virology group."},"year_creation":2004,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.aab.org.uk/dpv-submission-form/","type":"open","notes":"Descriptions of Plant Viruses’ can be submited by members of the community."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000507","bsg-d000507"],"name":"FAIRsharing record for: Description of Plant Viruses","abbreviation":"DPVweb","url":"https://fairsharing.org/10.25504/FAIRsharing.52qw6p","doi":"10.25504/FAIRsharing.52qw6p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DPVweb provides a central source of information about viruses, viroids and satellites of plants, fungi and protozoa. Comprehensive taxonomic information, including brief descriptions of each family and genus, and classified lists of virus sequences are provided. The database also holds detailed, curated, information for all sequences of viruses, viroids and satellites of plants, fungi and protozoa that are complete or that contain at least one complete gene. The database will not be updated with sequence or taxonomic data from Aug 2013.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Taxonomic classification","Sequence annotation","Classification","Gene"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["China","United Kingdom"],"publications":[{"id":497,"pubmed_id":16381892,"title":"DPVweb: a comprehensive database of plant and fungal virus genes and genomes.","year":2005,"url":"http://doi.org/10.1093/nar/gkj023","authors":"Adams MJ., Antoniw JF.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj023","created_at":"2021-09-30T08:23:13.996Z","updated_at":"2021-09-30T08:23:13.996Z"}],"licence_links":[{"licence_name":"DPVweb Copyright information","licence_id":252,"licence_url":"http://www.dpvweb.net/","link_id":1243,"relation":"undefined"}],"grants":[{"id":1472,"fairsharing_record_id":2040,"organisation_id":3277,"relation":"funds","created_at":"2021-09-30T09:25:07.956Z","updated_at":"2021-09-30T09:25:07.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":3277,"name":"Zhejiang Academy of Agriculture","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1470,"fairsharing_record_id":2040,"organisation_id":2459,"relation":"maintains","created_at":"2021-09-30T09:25:07.876Z","updated_at":"2021-09-30T09:25:07.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":2459,"name":"Rothamsted Research, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1471,"fairsharing_record_id":2040,"organisation_id":123,"relation":"funds","created_at":"2021-09-30T09:25:07.919Z","updated_at":"2021-09-30T09:25:07.919Z","grant_id":null,"is_lead":false,"saved_state":{"id":123,"name":"Association of Applied Biologists, UK","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1473,"fairsharing_record_id":2040,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:07.989Z","updated_at":"2021-09-30T09:25:07.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2041","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:34:53.615Z","metadata":{"doi":"10.25504/FAIRsharing.f63h4k","name":"NARCIS","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"narcis@dans.knaw.nl"}],"homepage":"http://www.narcis.nl/?Language=en","citations":[],"identifier":2041,"description":"NARCIS provides access to scientific information, including (open access) publications from the repositories of all the Dutch universities, KNAW, NWO and a number of research institutes, which is not referenced in other citation databases.","abbreviation":"NARCIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.narcis.nl/faq/Language/en","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2023-05-18","deprecation_reason":"This resource has been decommissioned as of July 3, 2023 (see https://www.narcis.nl/decommission/Language/en). Further information is available at https://www.narcis.nl/faq/Language/en, and suggests deposition at OpenAIRE instead.","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000508","bsg-d000508"],"name":"FAIRsharing record for: NARCIS","abbreviation":"NARCIS","url":"https://fairsharing.org/10.25504/FAIRsharing.f63h4k","doi":"10.25504/FAIRsharing.f63h4k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NARCIS provides access to scientific information, including (open access) publications from the repositories of all the Dutch universities, KNAW, NWO and a number of research institutes, which is not referenced in other citation databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Bibliography","Publication","Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Data Archiving and Networked Services (DANS) Privacy Policy","licence_id":214,"licence_url":"https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/privacy-statement","link_id":1775,"relation":"undefined"},{"licence_name":"Data Archiving and Networked Services Disclaimer","licence_id":215,"licence_url":"https://dans.knaw.nl/en/about/organisation-and-policy/disclaimer/disclaimer","link_id":1774,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1773,"relation":"undefined"}],"grants":[{"id":1475,"fairsharing_record_id":2041,"organisation_id":644,"relation":"maintains","created_at":"2021-09-30T09:25:08.038Z","updated_at":"2021-09-30T09:25:08.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":644,"name":"Data Archiving and Networked Services (DANS), Den Hagg, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1474,"fairsharing_record_id":2041,"organisation_id":2464,"relation":"funds","created_at":"2021-09-30T09:25:08.013Z","updated_at":"2021-09-30T09:25:08.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":2464,"name":"Royal Netherlands Academy of Arts and Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1476,"fairsharing_record_id":2041,"organisation_id":125,"relation":"maintains","created_at":"2021-09-30T09:25:08.068Z","updated_at":"2021-09-30T09:25:08.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":125,"name":"Association of Universities in the Netherlands (VSNU)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1477,"fairsharing_record_id":2041,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:25:08.111Z","updated_at":"2021-09-30T09:25:08.111Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2031","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-23T16:28:26.243Z","metadata":{"doi":"10.25504/FAIRsharing.rs2815","name":"Protein Data Bank Japan","status":"ready","contacts":[{"contact_name":"Haruki Nakamura","contact_email":"harukin@protein.osaka-u.ac.jp","contact_orcid":"0000-0001-6690-5863"}],"homepage":"http://www.pdbj.org/","citations":[{"doi":"10.1002/pro.3273","pubmed_id":28815765,"publication_id":915},{"doi":"10.1093/nar/gkw962","pubmed_id":27789697,"publication_id":2916},{"doi":"10.1002/pro.4211","pubmed_id":null,"publication_id":3503}],"identifier":2031,"description":"PDBj (Protein Data Bank Japan) maintains the single global PDB/BMRB/EMDB archives of macromolecular structures and provide integrated tools, under the Joint Usage and Research activities of the Institute for Protein Research. Supports browsing in multiple languages such as Japanese, Chinese, and Korean; SeSAW identifies functionally or evolutionarily conserved motifs by locating and annotating sequence and structural similarities, tools for bioinformaticians, and more.","abbreviation":"PDBj","data_curation":{"url":"http://www.wwpdb.org/documentation/procedure","type":"manual/automated"},"support_links":[{"url":"http://pdbj.org/#!contact?tab=PDBjmaster","type":"Contact form"},{"url":"https://pdbj.org/help/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://pdbj.org/help/","type":"Help documentation"},{"url":"https://twitter.com/PDBj_en","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://sysimm.ifrec.osaka-u.ac.jp/ash_service/","name":"ASH"},{"url":"http://pdbj.org/emnavi/viewtop.php","name":"Yorodumi"},{"url":"http://sysimm.ifrec.osaka-u.ac.jp/MAFFTash/","name":"MAFFTash 4.1"},{"url":"http://bmrbdep.pdbj.org/en/nmrtoolbox/","name":"NMR Tool Box"},{"url":"http://pdbj.org/gmfit/","name":"Pairwise gmfit"},{"url":"http://pdbj.org/crnpred/","name":"CRNPRED"},{"url":"http://pdbj.org/spanner/","name":"Spanner"},{"url":"https://sysimm.ifrec.osaka-u.ac.jp/pipeline7/","name":"SFAS"},{"url":"http://homcos.pdbj.org/?LANG=en","name":"HOMCOS"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010910","name":"re3data:r3d100010910","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008912","name":"SciCrunch:RRID:SCR_008912","portal":"SciCrunch"}],"data_access_condition":{"url":"https://pdbj.org/info/terms-conditions","type":"open"},"resource_sustainability":{"url":"http://www.wwpdb.org/about/faq","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://deposit-pdbj.wwpdb.org/deposition","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000498","bsg-d000498"],"name":"FAIRsharing record for: Protein Data Bank Japan","abbreviation":"PDBj","url":"https://fairsharing.org/10.25504/FAIRsharing.rs2815","doi":"10.25504/FAIRsharing.rs2815","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBj (Protein Data Bank Japan) maintains the single global PDB/BMRB/EMDB archives of macromolecular structures and provide integrated tools, under the Joint Usage and Research activities of the Institute for Protein Research. Supports browsing in multiple languages such as Japanese, Chinese, and Korean; SeSAW identifies functionally or evolutionarily conserved motifs by locating and annotating sequence and structural similarities, tools for bioinformaticians, and more.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12315},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12677}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Bioinformatics","Structural Biology","Proteomics","Virology","Epidemiology"],"domains":["Molecular structure","Function analysis","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Japan"],"publications":[{"id":915,"pubmed_id":28815765,"title":"New tools and functions in data-out activities at Protein Data Bank Japan (PDBj).","year":2017,"url":"http://doi.org/10.1002/pro.3273","authors":"Kinjo AR,Bekker GJ,Wako H,Endo S,Tsuchiya Y,Sato H,Nishi H,Kinoshita K,Suzuki H,Kawabata T,Yokochi M,Iwata T,Kobayashi N,Fujiwara T,Kurisu G,Nakamura H","journal":"Protein Sci","doi":"10.1002/pro.3273","created_at":"2021-09-30T08:24:01.046Z","updated_at":"2021-09-30T08:24:01.046Z"},{"id":1350,"pubmed_id":21976737,"title":"Protein Data Bank Japan (PDBj): maintaining a structural data archive and resource description framework format.","year":2011,"url":"http://doi.org/10.1093/nar/gkr811","authors":"Kinjo AR., Suzuki H., Yamashita R., Ikegawa Y., Kudou T., Igarashi R., Kengaku Y., Cho H., Standley DM., Nakagawa A., Nakamura H.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr811","created_at":"2021-09-30T08:24:51.067Z","updated_at":"2021-09-30T08:24:51.067Z"},{"id":2913,"pubmed_id":12099029,"title":"[Development of PDBj: Advanced database for protein structures].","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12099029","authors":"Nakamura H,Ito N,Kusunoki M","journal":"Tanpakushitsu Kakusan Koso","doi":null,"created_at":"2021-09-30T08:27:58.798Z","updated_at":"2021-09-30T08:27:58.798Z"},{"id":2914,"pubmed_id":20798081,"title":"PDBj Mine: design and implementation of relational database interface for Protein Data Bank Japan.","year":2010,"url":"http://doi.org/10.1093/database/baq021","authors":"Kinjo AR,Yamashita R,Nakamura H","journal":"Database (Oxford)","doi":"10.1093/database/baq021","created_at":"2021-09-30T08:27:58.907Z","updated_at":"2021-09-30T08:27:58.907Z"},{"id":2915,"pubmed_id":21796434,"title":"Protein Data Bank Japan (PDBj): an interview with Haruki Nakamura of Osaka University by Wendy A. Warr.","year":2011,"url":"http://doi.org/10.1007/s10822-011-9460-y","authors":"Nakamura H","journal":"J Comput Aided Mol Des","doi":"10.1007/s10822-011-9460-y","created_at":"2021-09-30T08:27:59.016Z","updated_at":"2021-09-30T08:27:59.016Z"},{"id":2916,"pubmed_id":27789697,"title":"Protein Data Bank Japan (PDBj): updated user interfaces, resource description framework, analysis tools for large structures.","year":2016,"url":"http://doi.org/10.1093/nar/gkw962","authors":"Kinjo AR,Bekker GJ,Suzuki H,Tsuchiya Y,Kawabata T,Ikegawa Y,Nakamura H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw962","created_at":"2021-09-30T08:27:59.122Z","updated_at":"2021-09-30T11:29:48.770Z"},{"id":3503,"pubmed_id":null,"title":"Protein Data Bank Japan: Celebrating our 20th anniversary during a global pandemic as the Asian hub of three dimensional macromolecular structural data","year":2021,"url":"http://dx.doi.org/10.1002/pro.4211","authors":"Bekker, Gert‐Jan; Yokochi, Masashi; Suzuki, Hirofumi; Ikegawa, Yasuyo; Iwata, Takeshi; Kudou, Takahiro; Yura, Kei; Fujiwara, Toshimichi; Kawabata, Takeshi; Kurisu, Genji; ","journal":"Protein Science","doi":"10.1002/pro.4211","created_at":"2022-08-02T08:18:25.005Z","updated_at":"2022-08-02T08:18:25.005Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2778,"relation":"applies_to_content"}],"grants":[{"id":1450,"fairsharing_record_id":2031,"organisation_id":2335,"relation":"funds","created_at":"2021-09-30T09:25:07.037Z","updated_at":"2021-09-30T09:25:07.037Z","grant_id":null,"is_lead":false,"saved_state":{"id":2335,"name":"Platform Project for Supporting in Drug Discovery and Life Science Research, Japan Agency for Medical Research and Development","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1451,"fairsharing_record_id":2031,"organisation_id":1378,"relation":"funds","created_at":"2021-09-30T09:25:07.062Z","updated_at":"2021-09-30T09:25:07.062Z","grant_id":null,"is_lead":false,"saved_state":{"id":1378,"name":"Institute for Bioinformatics Research and Development, Japan Science and Technology Agency","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9736,"fairsharing_record_id":2031,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T08:19:45.182Z","updated_at":"2022-08-02T08:19:45.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1448,"fairsharing_record_id":2031,"organisation_id":2277,"relation":"maintains","created_at":"2021-09-30T09:25:06.980Z","updated_at":"2022-08-02T08:19:45.184Z","grant_id":null,"is_lead":true,"saved_state":{"id":2277,"name":"Osaka University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9027,"fairsharing_record_id":2031,"organisation_id":1595,"relation":"funds","created_at":"2022-03-24T15:13:58.529Z","updated_at":"2022-03-24T15:13:58.529Z","grant_id":1244,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science","grant":"26440078","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1449,"fairsharing_record_id":2031,"organisation_id":646,"relation":"funds","created_at":"2021-09-30T09:25:07.014Z","updated_at":"2021-09-30T09:25:07.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":646,"name":"Database Integration Coordination Program from the National Bioscience Database Center","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbkFCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--faf4b366223ded9869dc7b9398534b5cbb93478c/Screenshot%20from%202022-08-02%2009-15-29.png?disposition=inline","exhaustive_licences":false}},{"id":"2032","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:15.560Z","metadata":{"doi":"10.25504/FAIRsharing.33yggg","name":"PAZAR","status":"deprecated","contacts":[{"contact_name":"Wyeth W. Wasserman","contact_email":"wyeth@cmmt.ubc.ca","contact_orcid":"0000-0001-6098-6412"}],"homepage":"http://www.pazar.info/","identifier":2032,"description":"PAZAR is a software framework for the construction and maintenance of regulatory sequence data annotations; a framework which allows multiple boutique databases to function independently within a larger system (or information mall). The goal of PAZAR is to be the public repository for regulatory data.","abbreviation":"PAZAR","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.pazar.info/cgi-bin/help_FAQ.pl","type":"Help documentation"},{"url":"http://www.pazar.info/cgi-bin/overview.pl","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000499","bsg-d000499"],"name":"FAIRsharing record for: PAZAR","abbreviation":"PAZAR","url":"https://fairsharing.org/10.25504/FAIRsharing.33yggg","doi":"10.25504/FAIRsharing.33yggg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PAZAR is a software framework for the construction and maintenance of regulatory sequence data annotations; a framework which allows multiple boutique databases to function independently within a larger system (or information mall). The goal of PAZAR is to be the public repository for regulatory data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Regulation of gene expression","Biological regulation","Transcription factor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":494,"pubmed_id":18971253,"title":"The PAZAR database of gene regulatory information coupled to the ORCA toolkit for the study of regulatory sequences.","year":2008,"url":"http://doi.org/10.1093/nar/gkn783","authors":"Portales-Casamar E., Arenillas D., Lim J., Swanson MI., Jiang S., McCallum A., Kirov S., Wasserman WW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn783","created_at":"2021-09-30T08:23:13.677Z","updated_at":"2021-09-30T08:23:13.677Z"},{"id":1617,"pubmed_id":17916232,"title":"PAZAR: a framework for collection and dissemination of cis-regulatory sequence annotation.","year":2007,"url":"http://doi.org/10.1186/gb-2007-8-10-r207","authors":"Portales-Casamar E,Kirov S,Lim J,Lithwick S,Swanson MI,Ticoll A,Snoddy J,Wasserman WW","journal":"Genome Biol","doi":"10.1186/gb-2007-8-10-r207","created_at":"2021-09-30T08:25:21.195Z","updated_at":"2021-09-30T08:25:21.195Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":710,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"4","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:36:09.096Z","metadata":{"doi":"10.25504/FAIRsharing.ezznsh","name":"Newick tree Format","status":"ready","contacts":[{"contact_name":"Joe Felsenstein","contact_email":"joe@gs.washington.edu"}],"homepage":"http://evolution.genetics.washington.edu/phylip/newicktree.html","identifier":4,"description":"The Newick Standard for representing trees in computer-readable form makes use of the correspondence between trees and nested parentheses, noticed in 1857 by the famous English mathematician Arthur Cayley.","abbreviation":null,"support_links":[{"url":"https://en.wikipedia.org/wiki/Newick_format","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":1986},"legacy_ids":["bsg-000250","bsg-s000250"],"name":"FAIRsharing record for: Newick tree Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ezznsh","doi":"10.25504/FAIRsharing.ezznsh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Newick Standard for representing trees in computer-readable form makes use of the correspondence between trees and nested parentheses, noticed in 1857 by the famous English mathematician Arthur Cayley.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12441}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Life Science","Comparative Genomics"],"domains":["Dendrogram","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4886,"fairsharing_record_id":4,"organisation_id":714,"relation":"maintains","created_at":"2021-09-30T09:27:06.132Z","updated_at":"2021-09-30T09:27:06.132Z","grant_id":null,"is_lead":true,"saved_state":{"id":714,"name":"Department of Genome Sciences, University of Washington, Seattle, United States","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"5","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:25:34.018Z","metadata":{"doi":"10.25504/FAIRsharing.1sgm8q","name":"BioModels Ontology","status":"uncertain","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"http://bioportal.bioontology.org/ontologies/BIOMODELS","identifier":5,"description":"The BioModels Ontology is an OWL Representation of the models in the BioModels repository. This resource has not been updated recently within BioPortal, and no official homepage can be found, therefore we have marked its status as Uncertain. Please get in touch with us if you have any information on this project.","abbreviation":null,"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIOMODELS","name":"BIOMODELS","portal":"BioPortal"}]},"legacy_ids":["bsg-002795","bsg-s002795"],"name":"FAIRsharing record for: BioModels Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1sgm8q","doi":"10.25504/FAIRsharing.1sgm8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioModels Ontology is an OWL Representation of the models in the BioModels repository. This resource has not been updated recently within BioPortal, and no official homepage can be found, therefore we have marked its status as Uncertain. Please get in touch with us if you have any information on this project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Modeling and simulation","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1784,"pubmed_id":21835028,"title":"Integrating systems biology models and biomedical ontologies.","year":2011,"url":"http://doi.org/10.1186/1752-0509-5-124","authors":"Hoehndorf R,Dumontier M,Gennari JH,Wimalaratne S,de Bono B,Cook DL,Gkoutos GV","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-5-124","created_at":"2021-09-30T08:25:40.213Z","updated_at":"2021-09-30T08:25:40.213Z"}],"licence_links":[],"grants":[{"id":4888,"fairsharing_record_id":5,"organisation_id":270,"relation":"maintains","created_at":"2021-09-30T09:27:06.212Z","updated_at":"2021-09-30T09:27:06.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":270,"name":"BioModels Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4889,"fairsharing_record_id":5,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:06.254Z","updated_at":"2021-09-30T09:31:20.773Z","grant_id":1128,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"248502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4887,"fairsharing_record_id":5,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:06.169Z","updated_at":"2021-09-30T09:31:23.229Z","grant_id":1146,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBG0043581","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"6","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-02T14:06:42.999Z","metadata":{"doi":"10.25504/FAIRsharing.5pp7gn","name":"Minimum Information about a Neuroscience Investigation","status":"ready","contacts":[],"homepage":"https://doi.org/10.1038/npre.2008.1720.1","citations":[],"identifier":6,"description":"This module represents the formalised opinion of the authors and the CARMEN consortium, which identifies the minimum information required to report the use of electrophysiology in a neuroscience study. A MINI module represents the minimum information that should be reported about a dataset to facilitate computational access and analysis to allow a reader to interpret and critically evaluate the processes performed and the conclusions reached, and to support their experimental corroboration. In practice a MINI module comprises a checklist of information that should be provided (for example about the protocols employed) when a data set is submitted to the CARMEN system. Please note that, while these guidelines remain available, the CARMEN project can no longer be accessed. Please let us know if you have any information regarding this resource.","abbreviation":"MINI","support_links":[{"url":"http://mibbi.sf.net/projects/MINI.shtml","name":"Historical MIBBI listing (MIBBI is now deprecated)","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000167","bsg-s000167"],"name":"FAIRsharing record for: Minimum Information about a Neuroscience Investigation","abbreviation":"MINI","url":"https://fairsharing.org/10.25504/FAIRsharing.5pp7gn","doi":"10.25504/FAIRsharing.5pp7gn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module represents the formalised opinion of the authors and the CARMEN consortium, which identifies the minimum information required to report the use of electrophysiology in a neuroscience study. A MINI module represents the minimum information that should be reported about a dataset to facilitate computational access and analysis to allow a reader to interpret and critically evaluate the processes performed and the conclusions reached, and to support their experimental corroboration. In practice a MINI module comprises a checklist of information that should be provided (for example about the protocols employed) when a data set is submitted to the CARMEN system. Please note that, while these guidelines remain available, the CARMEN project can no longer be accessed. Please let us know if you have any information regarding this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11579},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11974}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Neuroscience","Electrophysiology"],"domains":["Neuron","Assay","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":3505,"pubmed_id":null,"title":"Minimum Information about a Neuroscience Investigation (MINI) Electrophysiology","year":2019,"url":"http://dx.doi.org/10.1038/npre.2008.1720.1","authors":"Gibson, Frank; Overton, Paul; Smulders, Tom; Schultz, Simon; Eglen, Stephen; Ingram, Colin; Panzeri, Stefano; Bream, Phil; Sernagor, Evelyne; Cunningham, Mark; Adams, Christopher; Echtermeyer, Christoph; Simonotto, Jennifer; Kaiser, Marcus; Swan, Daniel; Fletcher, Marty; Lord, Phillip; ","journal":"Nat Prec","doi":"10.1038/npre.2008.1720.1","created_at":"2022-08-02T14:02:00.372Z","updated_at":"2022-08-02T14:02:00.372Z"}],"licence_links":[],"grants":[{"id":9751,"fairsharing_record_id":6,"organisation_id":2145,"relation":"maintains","created_at":"2022-08-02T14:02:19.917Z","updated_at":"2022-08-02T14:02:19.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":2145,"name":"Newcastle University, Newcastle upon Tyne, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":4891,"fairsharing_record_id":6,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:06.416Z","updated_at":"2021-09-30T09:29:23.941Z","grant_id":231,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/I000984/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"7","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:40.207Z","metadata":{"doi":"10.25504/FAIRsharing.yecp83","name":"Spider Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Martin Ramirez","contact_email":"ramirez@macn.gov.ar","contact_orcid":"0000-0002-0358-0130"},{"contact_name":"Peter Michalik","contact_email":"michalik@uni-greifswald.de","contact_orcid":"0000-0003-2459-9153"}],"homepage":"https://github.com/obophenotype/spider-ontology","citations":[{"doi":"10.3390/d11100202","pubmed_id":null,"publication_id":3205}],"identifier":7,"description":"An ontology for spider comparative biology including anatomical parts (e.g. leg, claw), behavior (e.g. courtship, combing) and products (i.g. silk, web, borrow).","abbreviation":"SPD","support_links":[],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SPD","name":"Bioportal:SPD","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/spd.html","name":"OBOFoundry:spd","portal":"OBO Foundry"},{"url":"https://www.ebi.ac.uk/ols/ontologies/spd","name":"OLS:spd","portal":"OLS"}]},"legacy_ids":["bsg-000015","bsg-s000015"],"name":"FAIRsharing record for: Spider Anatomy Ontology","abbreviation":"SPD","url":"https://fairsharing.org/10.25504/FAIRsharing.yecp83","doi":"10.25504/FAIRsharing.yecp83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for spider comparative biology including anatomical parts (e.g. leg, claw), behavior (e.g. courtship, combing) and products (i.g. silk, web, borrow).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Behavior"],"taxonomies":["Arachnida"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3205,"pubmed_id":null,"title":"The Spider Anatomy Ontology (SPD)—A Versatile Tool to Link Anatomy with Cross-Disciplinary Data","year":2019,"url":"http://dx.doi.org/10.3390/d11100202","authors":"Ramírez, Martín J.; Michalik, Peter; ","journal":"Diversity","doi":"10.3390/d11100202","created_at":"2022-02-01T12:01:13.124Z","updated_at":"2022-02-01T12:01:13.124Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2594,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"8","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-15T21:51:28.171Z","metadata":{"doi":"10.25504/FAIRsharing.qtwya6","name":"Material Element component of the SWEET ontology","status":"deprecated","contacts":[{"contact_name":"Nitin","contact_email":"jhanit@gmail.com"},{"contact_name":"Brandon Whitehead","contact_email":"whiteheadb@landcareresearch.co.nz","contact_orcid":null}],"homepage":"https://github.com/ESIPFed/sweet/blob/master/src/matrElement.ttl","citations":[],"identifier":8,"description":"Material Element component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","abbreviation":null,"support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MATRELEMENT","name":"MATRELEMENT","portal":"BioPortal"}],"deprecation_date":"2021-12-02","deprecation_reason":"Deprecated because we represent all SWEET component ontologies via the main SWEET ontology record."},"legacy_ids":["bsg-000964","bsg-s000964"],"name":"FAIRsharing record for: Material Element component of the SWEET ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qtwya6","doi":"10.25504/FAIRsharing.qtwya6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Material Element component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2518,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"9","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:02.544Z","metadata":{"doi":"10.25504/FAIRsharing.qtb9yb","name":"Minimal Anatomical Terminology","status":"deprecated","contacts":[{"contact_name":"Jonathan Bard","contact_email":"j.bard@ed.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/MAT?p=summary","identifier":9,"description":"Minimal set of terms for anatomy.","abbreviation":"MAT","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MAT","name":"MAT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mat.html","name":"mat","portal":"OBO Foundry"}],"deprecation_date":"2016-03-31","deprecation_reason":"http://www.obofoundry.org/ontology/mat.html"},"legacy_ids":["bsg-000012","bsg-s000012"],"name":"FAIRsharing record for: Minimal Anatomical Terminology","abbreviation":"MAT","url":"https://fairsharing.org/10.25504/FAIRsharing.qtb9yb","doi":"10.25504/FAIRsharing.qtb9yb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal set of terms for anatomy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":4893,"fairsharing_record_id":9,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:27:06.602Z","updated_at":"2021-09-30T09:27:06.602Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"10","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:02.629Z","metadata":{"doi":"10.25504/FAIRsharing.vhgehd","name":"Subcellular Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Maryann Martone","contact_email":"mmartone@ucsd.edu"}],"homepage":"http://purl.bioontology.org/ontology/SAO","identifier":10,"description":"SAO describes structures from the dimensional range encompassing cellular and subcellular structure, supracellular domains, and macromolecules.","abbreviation":"SAO","deprecation_date":"2016-03-31","deprecation_reason":"This resource has been deprecated within the OBO Foundry (http://www.obofoundry.org/ontology/sao.html)."},"legacy_ids":["bsg-000014","bsg-s000014"],"name":"FAIRsharing record for: Subcellular Anatomy Ontology","abbreviation":"SAO","url":"https://fairsharing.org/10.25504/FAIRsharing.vhgehd","doi":"10.25504/FAIRsharing.vhgehd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SAO describes structures from the dimensional range encompassing cellular and subcellular structure, supracellular domains, and macromolecules.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell","Cellular component"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:19:36.736Z","metadata":{"doi":"10.25504/FAIRsharing.2mk2zb","name":"Logical Observation Identifier Names and Codes","status":"ready","contacts":[{"contact_name":"Jamalynne Deckard","contact_email":"jkdeckar@regenstrief.org"}],"homepage":"https://loinc.org/","identifier":2,"description":"LOINC is a common language (set of identifiers, names, and codes) for clinical and laboratory observations. LOINC is a catalog of measurements, including laboratory tests, clinical measures like vital signs and anthropomorphic measures, standardized survey instruments, and more. LOINC enables the exchange and aggregation of clinical results for care delivery, outcomes management, and research by providing a set of universal codes and structured names to unambiguously identify things you can measure or observe.","abbreviation":"LOINC","support_links":[{"url":"https://www.linkedin.com/showcase/loinc/","name":"LOINC Linkedin","type":"Blog/News"},{"url":"loinc@loinc.org","name":"General Enquiries","type":"Support email"},{"url":"https://loinc.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://loinc.org/forum/","name":"User forum","type":"Forum"},{"url":"https://loinc.org/downloads/files/LOINCManual.pdf","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCfhOOuCgajr0-H_MGtIHkCA","name":"Youtube Channel","type":"Video"},{"url":"https://loinc.org/get-started","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/LOINC","name":"Wikipedia","type":"Wikipedia"},{"url":"https://loinc.org/feed/","name":"LOINC feed","type":"Blog/News"},{"url":"https://twitter.com/LOINC","name":"LOINC Twitter","type":"Twitter"}],"year_creation":1994,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LOINC","name":"LOINC","portal":"BioPortal"}]},"legacy_ids":["bsg-000106","bsg-s000106"],"name":"FAIRsharing record for: Logical Observation Identifier Names and Codes","abbreviation":"LOINC","url":"https://fairsharing.org/10.25504/FAIRsharing.2mk2zb","doi":"10.25504/FAIRsharing.2mk2zb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LOINC is a common language (set of identifiers, names, and codes) for clinical and laboratory observations. LOINC is a catalog of measurements, including laboratory tests, clinical measures like vital signs and anthropomorphic measures, standardized survey instruments, and more. LOINC enables the exchange and aggregation of clinical results for care delivery, outcomes management, and research by providing a set of universal codes and structured names to unambiguously identify things you can measure or observe.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17349},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17685},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11023},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11268},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11956},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12205},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12416},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13173},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16978}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Genetic polymorphism","Assay","Phenotype","Diagnosis","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1089,"pubmed_id":9749897,"title":"Combining laboratory data sets from multiple institutions using the logical observation identifier names and codes (LOINC).","year":1998,"url":"http://doi.org/10.1016/s1386-5056(98)00089-6","authors":"Baorto DM,Cimino JJ,Parvin CA,Kahn MG","journal":"Int J Med Inform","doi":"10.1016/s1386-5056(98)00089-6","created_at":"2021-09-30T08:24:20.615Z","updated_at":"2021-09-30T08:24:20.615Z"},{"id":1090,"pubmed_id":22285984,"title":"Enabling international adoption of LOINC through translation.","year":2012,"url":"http://doi.org/10.1016/j.jbi.2012.01.005","authors":"Vreeman DJ,Chiaravalloti MT,Hook J,McDonald CJ","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2012.01.005","created_at":"2021-09-30T08:24:20.716Z","updated_at":"2021-09-30T08:24:20.716Z"},{"id":1101,"pubmed_id":25656513,"title":"Supporting interoperability of genetic data with LOINC.","year":2015,"url":"http://doi.org/10.1093/jamia/ocu012","authors":"Deckard J,McDonald CJ,Vreeman DJ","journal":"J Am Med Inform Assoc","doi":"10.1093/jamia/ocu012","created_at":"2021-09-30T08:24:21.890Z","updated_at":"2021-09-30T08:24:21.890Z"}],"licence_links":[{"licence_name":"LOINC and RELMA Terms of Use","licence_id":494,"licence_url":"https://loinc.org/terms-of-use/","link_id":222,"relation":"undefined"},{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":221,"relation":"undefined"}],"grants":[{"id":8433,"fairsharing_record_id":2,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:37.618Z","updated_at":"2021-09-30T09:32:37.670Z","grant_id":1706,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN276201400138P","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4882,"fairsharing_record_id":2,"organisation_id":2414,"relation":"maintains","created_at":"2021-09-30T09:27:05.979Z","updated_at":"2021-09-30T09:27:05.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2414,"name":"Regenstrief Institute, Inc, Indianapolis, Indiana, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":4883,"fairsharing_record_id":2,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:06.008Z","updated_at":"2021-09-30T09:29:02.542Z","grant_id":68,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN276201400239P","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8055,"fairsharing_record_id":2,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:40.828Z","updated_at":"2021-09-30T09:30:40.882Z","grant_id":819,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HSN2762008000006C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"3","type":"fairsharing_records","attributes":{"created_at":"2016-10-05T10:00:10.000Z","updated_at":"2022-07-20T13:10:08.555Z","metadata":{"doi":"10.25504/FAIRsharing.dg76vs","name":"Synthetic Biology Open Language Visual","status":"ready","contacts":[{"contact_name":"SBOL Editors","contact_email":"editors@sbolstandard.org"}],"homepage":"https://sbolstandard.org/visual-about/","identifier":3,"description":"Synthetic Biology Open Language Visual (SBOL Visual) is an open-source graphical notation that uses schematic “glyphs” to specify genetic parts, devices, modules, and systems.","abbreviation":"SBOL Visual","support_links":[{"url":"https://github.com/SynBioDex/SBOL-visual/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://sbolstandard.org/visual-spec-examples/","name":"Examples from the Specification","type":"Help documentation"},{"url":"https://sbolstandard.org/visual-examples/","name":"Examples","type":"Help documentation"},{"url":"https://sbolstandard.org/visual-glyphs/","name":"SBOL Visual Glyphs","type":"Help documentation"},{"url":"https://sbolstandard.org/sbol-visual-ontology/","name":"SBOL Visual Ontology","type":"Help documentation"},{"url":"https://github.com/SynBioDex/SBOL-visual","name":"GitHub Repository","type":"Github"},{"url":"https://twitter.com/SBOLstandard","name":"@SBOLstandard","type":"Twitter"}],"year_creation":2015},"legacy_ids":["bsg-000678","bsg-s000678"],"name":"FAIRsharing record for: Synthetic Biology Open Language Visual","abbreviation":"SBOL Visual","url":"https://fairsharing.org/10.25504/FAIRsharing.dg76vs","doi":"10.25504/FAIRsharing.dg76vs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Synthetic Biology Open Language Visual (SBOL Visual) is an open-source graphical notation that uses schematic “glyphs” to specify genetic parts, devices, modules, and systems.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10851},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11883},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12070},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12222},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16992}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Synthetic Biology","Data Visualization"],"domains":["DNA sequence data","Sequence annotation","Nucleic acid design","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Canada","China","Denmark","Egypt","Finland","France","India","Japan","Latvia","Netherlands","Norway","Saudi Arabia","Singapore","Spain","United Kingdom","United States"],"publications":[{"id":1636,"pubmed_id":27267452,"title":"Improving Synthetic Biology Communication: Recommended Practices for Visual Depiction and Digital Submission of Genetic Designs.","year":2016,"url":"http://doi.org/10.1021/acssynbio.6b00146","authors":"Hillson NJ,Plahar HA,Beal J,Prithviraj R","journal":"ACS Synth Biol","doi":"10.1021/acssynbio.6b00146","created_at":"2021-09-30T08:25:23.279Z","updated_at":"2021-09-30T08:25:23.279Z"},{"id":2650,"pubmed_id":26633141,"title":"SBOL Visual: A Graphical Language for Genetic Designs.","year":2015,"url":"http://doi.org/10.1371/journal.pbio.1002310","authors":"Quinn JY,Cox RS 3rd,Adler A,Beal J,Bhatia S,Cai Y,Chen J,Clancy K,Galdzicki M,Hillson NJ,Le Novere N,Maheshwari AJ,McLaughlin JA,Myers CJ,P U,Pocock M,Rodriguez C,Soldatova L,Stan GB,Swainston N,Wipat A,Sauro HM","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1002310","created_at":"2021-09-30T08:27:25.412Z","updated_at":"2021-09-30T08:27:25.412Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2404,"relation":"undefined"}],"grants":[{"id":8175,"fairsharing_record_id":3,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:20.446Z","updated_at":"2021-09-30T09:31:20.542Z","grant_id":1126,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1356401","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4885,"fairsharing_record_id":3,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:06.094Z","updated_at":"2021-09-30T09:29:18.741Z","grant_id":190,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1355909","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4884,"fairsharing_record_id":3,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:06.051Z","updated_at":"2021-09-30T09:31:56.532Z","grant_id":1397,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J02175X/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-13T10:31:53.063Z","metadata":{"doi":"10.25504/FAIRsharing.1414v8","name":"BRENDA tissue / enzyme source","status":"ready","contacts":[{"contact_name":"BrendaTissue Administrators","contact_email":"a.chang@tu-bs.de"}],"homepage":"http://www.brenda-enzymes.info","identifier":1,"description":"A structured controlled vocabulary for the source of an enzyme. It comprises terms for tissues, cell lines, cell types and cell cultures from uni- and multicellular organisms.","abbreviation":"BTO","support_links":[{"url":"https://support.brenda-enzymes.org/open.php","type":"Contact form"},{"url":"https://www.brenda-enzymes.info/information/tutorial_training/BRENDA_Tutorial_BTO.pdf","type":"Help documentation"}],"year_creation":1991,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BTO","name":"BTO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bto.html","name":"bto","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000063","bsg-s000063"],"name":"FAIRsharing record for: BRENDA tissue / enzyme source","abbreviation":"BTO","url":"https://fairsharing.org/10.25504/FAIRsharing.1414v8","doi":"10.25504/FAIRsharing.1414v8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the source of an enzyme. It comprises terms for tissues, cell lines, cell types and cell cultures from uni- and multicellular organisms.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18253}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Enzymology","Life Science"],"domains":["Reaction data","Cell","Enzyme","Organ"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":9,"pubmed_id":21030441,"title":"The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources.","year":2010,"url":"http://doi.org/10.1093/nar/gkq968","authors":"Gremse M, Chang A, Schomburg I, Grote A, Scheer M, Ebeling C, Schomburg D","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq968","created_at":"2021-09-30T08:22:21.498Z","updated_at":"2021-09-30T08:22:21.498Z"},{"id":1357,"pubmed_id":30395242,"title":"BRENDA in 2019: a European ELIXIR core data resource.","year":2018,"url":"http://doi.org/10.1093/nar/gky1048","authors":"Jeske L,Placzek S,Schomburg I,Chang A,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1048","created_at":"2021-09-30T08:24:51.780Z","updated_at":"2021-09-30T11:29:06.677Z"},{"id":1358,"pubmed_id":14681450,"title":"BRENDA, the enzyme database: updates and major new developments.","year":2003,"url":"http://doi.org/10.1093/nar/gkh081","authors":"Schomburg I,Chang A,Ebeling C,Gremse M,Heldt C,Huhn G,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh081","created_at":"2021-09-30T08:24:51.872Z","updated_at":"2021-09-30T11:29:06.777Z"},{"id":1590,"pubmed_id":25378310,"title":"BRENDA in 2015: exciting developments in its 25th year of existence.","year":2014,"url":"http://doi.org/10.1093/nar/gku1068","authors":"Chang A,Schomburg I,Placzek S,Jeske L,Ulbrich M,Xiao M,Sensen CW,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1068","created_at":"2021-09-30T08:25:18.284Z","updated_at":"2021-09-30T11:29:14.902Z"},{"id":2406,"pubmed_id":23203881,"title":"BRENDA in 2013: integrated reactions, kinetic data, enzyme function data, improved disease classification: new options and contents in BRENDA.","year":2012,"url":"http://doi.org/10.1093/nar/gks1049","authors":"Schomburg I,Chang A,Placzek S,Sohngen C,Rother M,Lang M,Munaretto C,Ulas S,Stelzer M,Grote A,Scheer M,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1049","created_at":"2021-09-30T08:26:55.301Z","updated_at":"2021-09-30T11:29:35.078Z"}],"licence_links":[{"licence_name":"License agreement for users of BRENDA","licence_id":490,"licence_url":"https://www.brenda-enzymes.info/copy.php","link_id":357,"relation":"undefined"}],"grants":[{"id":4879,"fairsharing_record_id":1,"organisation_id":309,"relation":"maintains","created_at":"2021-09-30T09:27:05.873Z","updated_at":"2021-09-30T09:27:05.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":309,"name":"BRENDA Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4878,"fairsharing_record_id":1,"organisation_id":1871,"relation":"funds","created_at":"2021-09-30T09:27:05.831Z","updated_at":"2021-09-30T09:29:33.494Z","grant_id":299,"is_lead":false,"saved_state":{"id":1871,"name":"Ministry of Science and Culture of Lower Saxony, Hannover, Germany","grant":"74ZN1122","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4880,"fairsharing_record_id":1,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:27:05.913Z","updated_at":"2021-09-30T09:29:34.261Z","grant_id":305,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4881,"fairsharing_record_id":1,"organisation_id":963,"relation":"funds","created_at":"2021-09-30T09:27:05.947Z","updated_at":"2021-09-30T09:31:05.700Z","grant_id":1013,"is_lead":false,"saved_state":{"id":963,"name":"European Union, Free European Life-Science Information and Computational Services (FELICS)","grant":"021902 (RII3)","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9281,"fairsharing_record_id":1,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:27.516Z","updated_at":"2022-04-11T12:07:27.532Z","grant_id":1641,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01KX1235","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"18","type":"fairsharing_records","attributes":{"created_at":"2015-05-14T10:14:01.000Z","updated_at":"2024-02-05T13:33:45.980Z","metadata":{"doi":"10.25504/FAIRsharing.9qv71f","name":"Systems Biology Markup Language","status":"ready","contacts":[{"contact_name":"SBML Forum","contact_email":"sbml-discuss@googlegroups.com"}],"homepage":"http://sbml.org","citations":[{"doi":"10.1093/bioinformatics/btg015","pubmed_id":12611808,"publication_id":1851}],"identifier":18,"description":"The Systems Biology Markup Language (SBML) is a machine-readable exchange format for computational models of biological processes. Its strength is in representating phenomena at the scale of biochemical reactions, but it is not limited to that. By supporting SBML as an input and output format, different software tools can operate on the same representation of a model, removing chances for errors in translation and assuring a common starting point for analyses and simulations.","abbreviation":"SBML","support_links":[{"url":"http://sbml.org/Documents/FAQ","name":"SBML FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://sourceforge.net/p/sbml/sbml-org-website/","name":"Issue Tracker","type":"Forum"},{"url":"http://sbml.org/Forums","name":"SBML Forums","type":"Forum"},{"url":"http://sbml.org/SBML_Software_Guide","name":"SBML Software Guide","type":"Help documentation"},{"url":"http://sourceforge.net/projects/sbml","name":"SBML on SourceForge","type":"Help documentation"},{"url":"http://sbml.org/News","name":"SBML News","type":"Help documentation"},{"url":"http://sbml.org/Basic_Introduction_to_SBML","name":"Introduction to SBML","type":"Help documentation"},{"url":"http://sbml.org/About","name":"About SBML","type":"Help documentation"},{"url":"http://sbml.org/Community","name":"SBML Community","type":"Help documentation"},{"url":"http://sbml.org/Documents","name":"Documentation","type":"Help documentation"},{"url":"http://sbml.org/index.php?title=News\u0026action=feed","name":"RSS Feed","type":"Blog/News"},{"url":"https://twitter.com/sbmlnews","name":"@sbmlnews","type":"Twitter"},{"url":"https://sbml.org/specifications/sbml-level-1/version-2/sbml-level-1-v2.pdf","name":"Systems Biology Markup Language (SBML) Level 1: Structures and Facilities for Basic Model Definitions","type":"Other"},{"url":"https://github.com/sbmlteam/sbml-org-website/tree/main","type":"Github"}],"year_creation":1999,"associated_tools":[{"url":"http://sbml.org/Software","name":"SBML Software List"}]},"legacy_ids":["bsg-000052","bsg-s000052"],"name":"FAIRsharing record for: Systems Biology Markup Language","abbreviation":"SBML","url":"https://fairsharing.org/10.25504/FAIRsharing.9qv71f","doi":"10.25504/FAIRsharing.9qv71f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systems Biology Markup Language (SBML) is a machine-readable exchange format for computational models of biological processes. Its strength is in representating phenomena at the scale of biochemical reactions, but it is not limited to that. By supporting SBML as an input and output format, different software tools can operate on the same representation of a model, removing chances for errors in translation and assuring a common starting point for analyses and simulations.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10849},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11032},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11173},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11879},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12043},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12216},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18446}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Systems Biology"],"domains":["Mathematical model","Network model","Molecular entity","Modeling and simulation","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1851,"pubmed_id":12611808,"title":"The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.","year":2003,"url":"http://doi.org/10.1093/bioinformatics/btg015","authors":"Hucka M,Finney A,Sauro HM et al.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btg015","created_at":"2021-09-30T08:25:47.960Z","updated_at":"2021-09-30T08:25:47.960Z"},{"id":4112,"pubmed_id":31219795,"title":"The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2.","year":2019,"url":"https://doi.org/10.1515/jib-2019-0021","authors":"Hucka M, Bergmann FT, Chaouiya C, Dräger A, Hoops S, Keating SM, König M, Novère NL, Myers CJ, Olivier BG, Sahle S, Schaff JC, Sheriff R, Smith LP, Waltemath D, Wilkinson DJ, Zhang F","journal":"Journal of integrative bioinformatics","doi":"10.1515/jib-2019-0021","created_at":"2024-02-01T13:49:30.266Z","updated_at":"2024-02-01T13:49:30.266Z"},{"id":4113,"pubmed_id":null,"title":"Systems Biology Markup Language (SBML) Level 2 Version 5: Structures and Facilities for Model Definitions","year":2017,"url":"http://dx.doi.org/10.1515/jib-2015-271","authors":"Hucka, Michael; Bergmann, Frank T.; Dräger, Andreas; Hoops, Stefan; Keating, Sarah M.; Le Novère, Nicolas; Myers, Chris J.; Olivier, Brett G.; Sahle, Sven; Schaff, James C.; Smith, Lucian P.; Waltemath, Dagmar; Wilkinson, Darren J.; ","journal":"Journal of Integrative Bioinformatics","doi":"10.1515/jib-2015-271","created_at":"2024-02-01T14:22:06.489Z","updated_at":"2024-02-01T14:22:06.489Z"}],"licence_links":[],"grants":[{"id":4907,"fairsharing_record_id":18,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:07.159Z","updated_at":"2021-09-30T09:27:07.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4910,"fairsharing_record_id":18,"organisation_id":2498,"relation":"maintains","created_at":"2021-09-30T09:27:07.238Z","updated_at":"2021-09-30T09:27:07.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":2498,"name":"SBML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4908,"fairsharing_record_id":18,"organisation_id":344,"relation":"maintains","created_at":"2021-09-30T09:27:07.182Z","updated_at":"2021-09-30T09:27:07.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":344,"name":"California Institute of Technology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4909,"fairsharing_record_id":18,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:07.208Z","updated_at":"2021-09-30T09:32:24.429Z","grant_id":1606,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01 GM070923","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"19","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:17.458Z","metadata":{"doi":"10.25504/FAIRsharing.azr389","name":"ElectroCardioGraphy Ontology","status":"deprecated","contacts":[{"contact_name":"Raimond Winslow","contact_email":"rwinslow@jhu.edu","contact_orcid":"0000-0003-1719-1651"}],"homepage":"http://wiki.cvrgrid.org/index.php/Ontology_Development","citations":[],"identifier":19,"description":"The Electrocardiography (ECG) Ontology is a Driving Biological Project of the NCBO. The ECG Ontology will contain terms for describing electrocardiograms, their capture method(s) and their waveforms. This ontology was developed and is being maintained by the CardioVascular Research Grid (www.cvrg.org).","abbreviation":"ECG","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ECG","name":"ECG","portal":"BioPortal"}],"deprecation_date":"2022-03-03","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000048","bsg-s000048"],"name":"FAIRsharing record for: ElectroCardioGraphy Ontology","abbreviation":"ECG","url":"https://fairsharing.org/10.25504/FAIRsharing.azr389","doi":"10.25504/FAIRsharing.azr389","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Electrocardiography (ECG) Ontology is a Driving Biological Project of the NCBO. The ECG Ontology will contain terms for describing electrocardiograms, their capture method(s) and their waveforms. This ontology was developed and is being maintained by the CardioVascular Research Grid (www.cvrg.org).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Heart","Electrocardiography"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2378,"pubmed_id":20800107,"title":"Using an ECG reference ontology for semantic interoperability of ECG data.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.08.007","authors":"Goncalves B,Guizzardi G,Pereira Filho JG","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.08.007","created_at":"2021-09-30T08:26:52.243Z","updated_at":"2021-09-30T08:26:52.243Z"}],"licence_links":[],"grants":[{"id":4912,"fairsharing_record_id":19,"organisation_id":1259,"relation":"funds","created_at":"2021-09-30T09:27:07.321Z","updated_at":"2021-09-30T09:30:34.883Z","grant_id":774,"is_lead":false,"saved_state":{"id":1259,"name":"Horizon 2020 CNPq","grant":"481906/2009-6","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9146,"fairsharing_record_id":19,"organisation_id":1603,"relation":"maintains","created_at":"2022-04-11T12:07:17.443Z","updated_at":"2022-04-11T12:07:17.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":1603,"name":"Johns Hopkins University, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"20","type":"fairsharing_records","attributes":{"created_at":"2015-06-22T14:50:53.000Z","updated_at":"2021-11-24T13:17:08.382Z","metadata":{"doi":"10.25504/FAIRsharing.cp0ybc","name":"Wf4Ever Research Object Model 1.0","status":"ready","contacts":[{"contact_name":"Stian Soiland-Reyes","contact_email":"ro-model-dev@googlegroups.com","contact_orcid":"0000-0001-9842-9718"}],"homepage":"https://w3id.org/ro/","identifier":20,"description":"The Wf4Ever Research Object Model provides a vocabulary for the description of workflow-centric Research Objects: aggregations of resources relating to scientific workflows.","abbreviation":"RO","support_links":[{"url":"https://groups.google.com/forum/#!forum/ro-model-dev","type":"Forum"},{"url":"http://www.researchobject.org/overview/","type":"Help documentation"},{"url":"https://github.com/ResearchObject/ro-tutorials","type":"Github"}],"year_creation":2013},"legacy_ids":["bsg-000596","bsg-s000596"],"name":"FAIRsharing record for: Wf4Ever Research Object Model 1.0","abbreviation":"RO","url":"https://fairsharing.org/10.25504/FAIRsharing.cp0ybc","doi":"10.25504/FAIRsharing.cp0ybc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Wf4Ever Research Object Model provides a vocabulary for the description of workflow-centric Research Objects: aggregations of resources relating to scientific workflows.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11199}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science"],"domains":["Resource metadata","Reproducibility","Workflow"],"taxonomies":["All"],"user_defined_tags":["Research object"],"countries":["Poland","Spain","United Kingdom"],"publications":[{"id":2664,"pubmed_id":25276335,"title":"Structuring research methods and data with the research object model: genomics workflows as a case study.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-41","authors":"Hettne KM,Dharuri H,Zhao J,Wolstencroft K,Belhajjame K,Soiland-Reyes S,Mina E,Thompson M,Cruickshank D,Verdes-Montenegro L,Garrido J,de Roure D,Corcho O,Klyne G,van Schouwen R,'t Hoen PA,Bechhofer S,Goble C,Roos M","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-41","created_at":"2021-09-30T08:27:27.113Z","updated_at":"2021-09-30T08:27:27.113Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":538,"relation":"undefined"}],"grants":[{"id":4914,"fairsharing_record_id":20,"organisation_id":2430,"relation":"maintains","created_at":"2021-09-30T09:27:07.365Z","updated_at":"2021-09-30T09:27:07.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":2430,"name":"researchobject.org","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4916,"fairsharing_record_id":20,"organisation_id":921,"relation":"funds","created_at":"2021-09-30T09:27:07.416Z","updated_at":"2021-09-30T09:30:41.278Z","grant_id":822,"is_lead":false,"saved_state":{"id":921,"name":"European Commission FP7-ICT","grant":"270192","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"21","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.003Z","metadata":{"doi":"10.25504/FAIRsharing.5403x","name":"Medaka Fish Ontology","status":"deprecated","contacts":[{"contact_name":"Thorsten Heinrich","contact_email":"Thorsten.Henrich@embl-heidelberg.de"}],"homepage":"http://www.obofoundry.org/ontology/mfo.html","identifier":21,"description":"A structured controlled vocabulary of the anatomy and development of the Japanese medaka fish, Oryzias latipes.","abbreviation":"MFO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MFO","name":"MFO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mfo.html","name":"mfo","portal":"OBO Foundry"}],"deprecation_date":"2018-10-02","deprecation_reason":"As confirmed via the OBO Foundry entry for MFO."},"legacy_ids":["bsg-000022","bsg-s000022"],"name":"FAIRsharing record for: Medaka Fish Ontology","abbreviation":"MFO","url":"https://fairsharing.org/10.25504/FAIRsharing.5403x","doi":"10.25504/FAIRsharing.5403x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy and development of the Japanese medaka fish, Oryzias latipes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Cell cycle"],"taxonomies":["Oryzias latipes"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":751,"pubmed_id":15879458,"title":"MEPD: a resource for medaka gene expression patterns.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti478","authors":"Henrich T,Ramialison M,Wittbrodt B,Assouline B,Bourrat F,Berger A,Himmelbauer H,Sasaki T,Shimizu N,Westerfield M,Kondoh H,Wittbrodt J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti478","created_at":"2021-09-30T08:23:42.695Z","updated_at":"2021-09-30T08:23:42.695Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"22","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:41:08.744Z","metadata":{"doi":"10.25504/FAIRsharing.cnbjkn","name":"Single Nucleotide Polymorphism Ontology","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"adrien.coulet@loria.fr","contact_orcid":"0000-0002-1466-062X"}],"homepage":"https://members.loria.fr/ACoulet/files/snpontology1.6_description.html","identifier":22,"description":"The SNP Ontology is a domain ontology that provides a formal representation (OWL-DL) of genomic variations. Despite its name, SNP-Ontology, is not limited to the representation of SNPs but it encompasses genomic variations in a broader meaning. The SNP Ontology is general enough to enable the representation of variations observed in the genome of various species.","abbreviation":"SNPO","year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SNPO","name":"SNPO","portal":"BioPortal"}]},"legacy_ids":["bsg-002573","bsg-s002573"],"name":"FAIRsharing record for: Single Nucleotide Polymorphism Ontology","abbreviation":"SNPO","url":"https://fairsharing.org/10.25504/FAIRsharing.cnbjkn","doi":"10.25504/FAIRsharing.cnbjkn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SNP Ontology is a domain ontology that provides a formal representation (OWL-DL) of genomic variations. Despite its name, SNP-Ontology, is not limited to the representation of SNPs but it encompasses genomic variations in a broader meaning. The SNP Ontology is general enough to enable the representation of variations observed in the genome of various species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12514}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Proteomics"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism","Genome","Sequence variant","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2743,"pubmed_id":null,"title":"SNP-Ontology for semantic integration of genomic variation data.","year":2006,"url":"https://hal.inria.fr/inria-00067863v2","authors":"Adrien Coulet, Malika Smaïl-Tabbone, Pascale Benlian, Amedeo Napoli, Marie-Dominique Devignes","journal":"4th Annual International Conference on Intelligent Systems for Molecular Biology - ISMB'06, Fortaleza/Brésil.","doi":null,"created_at":"2021-09-30T08:27:36.898Z","updated_at":"2021-09-30T08:27:36.898Z"}],"licence_links":[],"grants":[{"id":4917,"fairsharing_record_id":22,"organisation_id":2981,"relation":"maintains","created_at":"2021-09-30T09:27:07.441Z","updated_at":"2021-09-30T09:27:07.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"23","type":"fairsharing_records","attributes":{"created_at":"2021-03-25T12:59:36.000Z","updated_at":"2022-07-20T09:26:43.840Z","metadata":{"doi":"10.25504/FAIRsharing.00adc9","name":"Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings","status":"ready","homepage":"https://id.loc.gov/authorities/childrensSubjects.html","identifier":23,"description":"The Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings (LCSHAC) is a thesaurus which is used in conjunction with LCSH. It is not a self-contained vocabulary, but is instead designed to complement LCSH and provide tailored subject access to children and young adults when LCSH does not provide suitable terminology, form, or scope for children.","abbreviation":"LCSHAC","support_links":[{"url":"https://id.loc.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://id.loc.gov/techcenter/searching.html","name":"Search Help","type":"Help documentation"},{"url":"https://id.loc.gov/techcenter/","name":"Download Help","type":"Help documentation"},{"url":"https://listserv.loc.gov/cgi-bin/wa?A0=ID","name":"LOC Linked Data Mailing List","type":"Mailing list"},{"url":"https://www.loc.gov/aba/cyac/childsubjhead.html","name":"About LCSH and Children's Headings","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-001601","bsg-s001601"],"name":"FAIRsharing record for: Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings","abbreviation":"LCSHAC","url":"https://fairsharing.org/10.25504/FAIRsharing.00adc9","doi":"10.25504/FAIRsharing.00adc9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings (LCSHAC) is a thesaurus which is used in conjunction with LCSH. It is not a self-contained vocabulary, but is instead designed to complement LCSH and provide tailored subject access to children and young adults when LCSH does not provide suitable terminology, form, or scope for children.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science","Literary Studies"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":754,"relation":"undefined"}],"grants":[{"id":4918,"fairsharing_record_id":23,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:27:07.465Z","updated_at":"2021-09-30T09:27:07.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"24","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T15:02:59.613Z","metadata":{"doi":"10.25504/FAIRsharing.68thre","name":"Metagenome/Microbes Environmental Ontology","status":"ready","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"https://bioportal.bioontology.org/ontologies/MEO","citations":[],"identifier":24,"description":"An Ontology for organismal habitats (especially focused on microbes)","abbreviation":"MEO","support_links":[{"url":"https://metadb.riken.jp/metadb/front","name":"RIKEN MetaDatabase","type":"Other"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEO","name":"BioPortal:MEO","portal":"BioPortal"}]},"legacy_ids":["bsg-002785","bsg-s002785"],"name":"FAIRsharing record for: Metagenome/Microbes Environmental Ontology","abbreviation":"MEO","url":"https://fairsharing.org/10.25504/FAIRsharing.68thre","doi":"10.25504/FAIRsharing.68thre","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An Ontology for organismal habitats (especially focused on microbes)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Microbiology"],"domains":["Metagenome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3126,"relation":"applies_to_content"}],"grants":[{"id":11854,"fairsharing_record_id":24,"organisation_id":2019,"relation":"maintains","created_at":"2024-06-27T13:51:38.742Z","updated_at":"2024-06-27T13:51:38.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"26","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2021-11-24T13:14:13.205Z","metadata":{"doi":"10.25504/FAIRsharing.emw6am","name":"Magnetic Resonance Dataset Acquisition Ontology","status":"ready","contacts":[{"contact_name":"Bernard Gibaud","contact_email":"bernard.gibaud@univ-rennes1.fr"}],"homepage":"http://neurolog.unice.fr/public_namespace/ontology","identifier":26,"description":"The OntoNeuroLOG Magnetic Resonance Dataset Acquisition (ONL-MR-DA) ontology is one of the modules in the OntoNeuroLOG ontology version 3.0, developed in the context of the NeuroLOG project., a French project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeneous resources in neuroimaging. DOLCE was used as the upper-level ontology for each of the modules within this ontology. This ontology covers the domain of Magnetic Resonance Imaging (MRI) dataset acquisition, i.e. MRI protocols, and MRI sequence parameters. In particular, it includes a multi-axial classification of MR sequences. The project and its funding has been completed, and the last release (3.0) as of 2013 is expected to be the final one. However, it continues to be available for use.","abbreviation":"ONL-MR-DA","support_links":[{"url":"neurolog@polytech.unice.fr","name":"General Helpdesk","type":"Support email"},{"url":"http://neurolog.unice.fr/ontoneurolog/v3.0/Documentation_OntoNeuroLOGv3.pdf","name":"Ontology Documentation","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONL-MR-DA","name":"ONL-MR-DA","portal":"BioPortal"}]},"legacy_ids":["bsg-000938","bsg-s000938"],"name":"FAIRsharing record for: Magnetic Resonance Dataset Acquisition Ontology","abbreviation":"ONL-MR-DA","url":"https://fairsharing.org/10.25504/FAIRsharing.emw6am","doi":"10.25504/FAIRsharing.emw6am","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OntoNeuroLOG Magnetic Resonance Dataset Acquisition (ONL-MR-DA) ontology is one of the modules in the OntoNeuroLOG ontology version 3.0, developed in the context of the NeuroLOG project., a French project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeneous resources in neuroimaging. DOLCE was used as the upper-level ontology for each of the modules within this ontology. This ontology covers the domain of Magnetic Resonance Imaging (MRI) dataset acquisition, i.e. MRI protocols, and MRI sequence parameters. In particular, it includes a multi-axial classification of MR sequences. The project and its funding has been completed, and the last release (3.0) as of 2013 is expected to be the final one. However, it continues to be available for use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Neuroscience"],"domains":["Magnetic resonance imaging","Protocol","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2065,"pubmed_id":18440282,"title":"Towards an ontology for sharing medical images and regions of interest in neuroimaging.","year":2008,"url":"http://doi.org/10.1016/j.jbi.2008.03.002","authors":"Temal L,Dojat M,Kassel G,Gibaud B","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2008.03.002","created_at":"2021-09-30T08:26:12.741Z","updated_at":"2021-09-30T08:26:12.741Z"}],"licence_links":[],"grants":[{"id":4923,"fairsharing_record_id":26,"organisation_id":1297,"relation":"maintains","created_at":"2021-09-30T09:27:07.623Z","updated_at":"2021-09-30T09:27:07.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":1297,"name":"I3S Laboratory, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":4924,"fairsharing_record_id":26,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:27:07.661Z","updated_at":"2021-09-30T09:31:15.032Z","grant_id":1086,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-06-TLOG-024","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"41","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:20:17.176Z","metadata":{"doi":"10.25504/FAIRsharing.j9e8qd","name":"Protein Affinity Reagent Controlled Vocabulary","status":"deprecated","contacts":[{"contact_email":"par@psidev.info"}],"homepage":"http://www.psidev.info/psi-par","citations":[],"identifier":41,"description":"The scopes of molecular interactions and protein affinity reagents are largely overlapping but are also partially unique. This fact is reflected in the PSI-PAR CV, which contains the majority of the terms from the PSI-MI CV and an additional ∼200 new terms as of its creation in 2009.","abbreviation":"PSI-PAR CV","year_creation":2009,"deprecation_date":"2023-10-03","deprecation_reason":"This collection is no longer being updated and has been deprecated by the Proteomics Standards Initiative group charter. "},"legacy_ids":["bsg-000157","bsg-s000157"],"name":"FAIRsharing record for: Protein Affinity Reagent Controlled Vocabulary","abbreviation":"PSI-PAR CV","url":"https://fairsharing.org/10.25504/FAIRsharing.j9e8qd","doi":"10.25504/FAIRsharing.j9e8qd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The scopes of molecular interactions and protein affinity reagents are largely overlapping but are also partially unique. This fact is reflected in the PSI-PAR CV, which contains the majority of the terms from the PSI-MI CV and an additional ∼200 new terms as of its creation in 2009.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11427}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Molecular interaction","Affinity","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":17,"pubmed_id":20622827,"title":"Minimum information about a protein affinity reagent (MIAPAR).","year":2010,"url":"http://doi.org/10.1038/nbt0710-650","authors":"Bourbeillon J, Orchard S, Benhar I, Borrebaeck C, de Daruvar A, Dubel S, Frank R, Gibson F, Gloriam D, Haslam N, Hiltker T, Humphrey-Smith I, Hust M, Juncker D, Koegl M, Konthur Z, Korn B, Krobitsch S, Muyldermans S, Nygren PA, Palcy S, Polic B, Rodriguez H, Sawyer A, Schlapshy M, Snyder M, Stoevesandt O, Taussig MJ, Templin M, Uhlen M, van der Maarel S, Wingren C, Hermjakob H, Sherman D","journal":"Nat. Biotechnol.","doi":"10.1038/nbt0710-650","created_at":"2021-09-30T08:22:22.271Z","updated_at":"2021-09-30T08:22:22.271Z"},{"id":1391,"pubmed_id":19674966,"title":"A community standard format for the representation of protein affinity reagents.","year":2009,"url":"http://doi.org/10.1074/mcp.M900185-MCP200","authors":"Gloriam DE1, Orchard S, Bertinetti D, Björling E, Bongcam-Rudloff E, Borrebaeck CA, Bourbeillon J, Bradbury AR, de Daruvar A, Dübel S, Frank R, Gibson TJ, Gold L, Haslam N, Herberg FW, Hiltke T, Hoheisel JD, Kerrien S, Koegl M, Konthur Z, Korn B, Landegren U, Montecchi-Palazzi L, Palcy S, Rodriguez H, Schweinsberg S, Sievert V, Stoevesandt O, Taussig MJ, Ueffing M, Uhlén M, van der Maarel S, Wingren C, Woollard P, Sherman DJ, Hermjakob H.","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M900185-MCP200","created_at":"2021-09-30T08:24:55.485Z","updated_at":"2021-09-30T08:24:55.485Z"}],"licence_links":[],"grants":[{"id":4963,"fairsharing_record_id":41,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:27:09.149Z","updated_at":"2021-09-30T09:27:09.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"42","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-13T15:52:23.950Z","metadata":{"doi":"10.25504/FAIRsharing.qz30cx","name":"GlycoCT sequence format for carbohydrates.","status":"ready","contacts":[{"contact_name":"W. von der Lieth","contact_email":"w.vonderlieth@dkfz-heidelberg.de"}],"homepage":"https://github.com/glycoinfo/GlycoCT/blob/main/GlycoCT.pdf","citations":[],"identifier":42,"description":"GlycoCT format is devised to describe the carbohydrate sequences, with a controlled vocabulary to name monosaccharides, adopting IUPAC rules to generate a consistent, machine-readable nomenclature, based on a connection table approach, instead of a linear encoding scheme. The format uses a block concept to describe frequently occurring special features of carbohydrate sequences like repeating units. It exists in two variants, a condensed form and a more verbose XML syntax. Sorting rules assure the uniqueness of the condensed form, thus making it suitable as a direct primary key for database applications, which rely on unique identifiers. GlycoCT encompasses the capabilities of the heterogeneous landscape of digital encoding schemata in glycomics and is thus a step forward on the way to a unified and broadly accepted sequence format in glycobioinformatics.","abbreviation":"GlycoCT XML","support_links":[{"url":"https://github.com/glycoinfo/GlycoCT/blob/main/GlycoCT.pdf","name":"GlycoCT Github repository","type":"Github"}]},"legacy_ids":["bsg-000530","bsg-s000530"],"name":"FAIRsharing record for: GlycoCT sequence format for carbohydrates.","abbreviation":"GlycoCT XML","url":"https://fairsharing.org/10.25504/FAIRsharing.qz30cx","doi":"10.25504/FAIRsharing.qz30cx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoCT format is devised to describe the carbohydrate sequences, with a controlled vocabulary to name monosaccharides, adopting IUPAC rules to generate a consistent, machine-readable nomenclature, based on a connection table approach, instead of a linear encoding scheme. The format uses a block concept to describe frequently occurring special features of carbohydrate sequences like repeating units. It exists in two variants, a condensed form and a more verbose XML syntax. Sorting rules assure the uniqueness of the condensed form, thus making it suitable as a direct primary key for database applications, which rely on unique identifiers. GlycoCT encompasses the capabilities of the heterogeneous landscape of digital encoding schemata in glycomics and is thus a step forward on the way to a unified and broadly accepted sequence format in glycobioinformatics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics"],"domains":["Carbohydrate"],"taxonomies":["All"],"user_defined_tags":["glycobiology"],"countries":["Germany"],"publications":[{"id":253,"pubmed_id":18436199,"title":"GlycoCT-a unifying sequence format for carbohydrates","year":2008,"url":"http://doi.org/10.1016/j.carres.2008.03.011","authors":"Herget S, Ranzinger R, Maass K, Lieth CW.","journal":"Carbohydrate Research","doi":"10.1016/j.carres.2008.03.011","created_at":"2021-09-30T08:22:47.325Z","updated_at":"2021-09-30T08:22:47.325Z"}],"licence_links":[],"grants":[{"id":10402,"fairsharing_record_id":42,"organisation_id":3912,"relation":"maintains","created_at":"2023-03-13T15:52:12.804Z","updated_at":"2023-03-13T15:52:12.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":3912,"name":"NMR spectroscopy and CEST imaging, DKFZ","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"43","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:38:19.000Z","updated_at":"2023-06-02T15:12:13.520Z","metadata":{"doi":"10.25504/FAIRsharing.FrSPDi","name":"Artificial Nutrition Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/BL8/en/","citations":[],"identifier":43,"description":"This thesaurus is based on the vocabulary used in scientific publications for Artificial nutrition and neighbor fields. It contains more than 2500 concepts in two languages (English and French), including various variants (synonyms, acronyms) divided into a number of microthesauri where the terms are grouped around a theme or a semantic field.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001415","bsg-s001415"],"name":"FAIRsharing record for: Artificial Nutrition Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.FrSPDi","doi":"10.25504/FAIRsharing.FrSPDi","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This thesaurus is based on the vocabulary used in scientific publications for Artificial nutrition and neighbor fields. It contains more than 2500 concepts in two languages (English and French), including various variants (synonyms, acronyms) divided into a number of microthesauri where the terms are grouped around a theme or a semantic field.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11300}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Nutritional Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Artificial nutrition"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":195,"relation":"undefined"}],"grants":[{"id":4965,"fairsharing_record_id":43,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:09.393Z","updated_at":"2021-09-30T09:27:09.393Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":4964,"fairsharing_record_id":43,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:09.188Z","updated_at":"2021-09-30T09:27:09.188Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"44","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.000Z","metadata":{"doi":"10.25504/FAIRsharing.82t0w2","name":"Leukocyte Surface Markers","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1520","identifier":44,"description":"An ontology of CD markers for lymphocyte classification in the cell ontology, and other categories of surface and secreted proteins useful for discriminating between lymphocyte subsets by flow cytometry, ELISPOT, ELISA and other assays typically used for phenotypic identification of individual lymphocytes or lymphocyte populations have been included.","abbreviation":"LSM","year_creation":2008,"deprecation_date":"2016-05-06","deprecation_reason":"This ontology is no longer maintained and doesn't appear to be available for use."},"legacy_ids":["bsg-002676","bsg-s002676"],"name":"FAIRsharing record for: Leukocyte Surface Markers","abbreviation":"LSM","url":"https://fairsharing.org/10.25504/FAIRsharing.82t0w2","doi":"10.25504/FAIRsharing.82t0w2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of CD markers for lymphocyte classification in the cell ontology, and other categories of surface and secreted proteins useful for discriminating between lymphocyte subsets by flow cytometry, ELISPOT, ELISA and other assays typically used for phenotypic identification of individual lymphocytes or lymphocyte populations have been included.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"45","type":"fairsharing_records","attributes":{"created_at":"2015-01-08T23:53:22.000Z","updated_at":"2021-11-24T13:18:26.083Z","metadata":{"doi":"10.25504/FAIRsharing.jw7rq3","name":"Minimum Information for Reporting Next Generation Sequencing Genotyping","status":"ready","contacts":[{"contact_name":"Steven J. Mack","contact_email":"sjmack@chori.org","contact_orcid":"0000-0001-9820-9547"}],"homepage":"http://miring.immunogenomics.org","identifier":45,"description":"MIRING defines the minimum information needed to describe genotyping results for HLA and KIR genes generated using Next Generation Sequencing (NGS) methods, allowing reinterpretation in light of continuous developments in reference sequence and genomic alignment resources for these genes. MIRING further defines the elements of a message to be used to exchange genotyping results. Use of MIRING ensures the long-term portability and broad application of NGS genotyping data for histocompatibility, immunogenetic and immunogenomic applications.","abbreviation":"MIRING","support_links":[{"url":"http://miring.immunogenomics.org","type":"Help documentation"},{"url":"http://igdawg.org/pubs/MIRING_categories.pdf","type":"Help documentation"},{"url":"https://bioinformatics.bethematchclinical.org/HLA-Resources/HML/","type":"Help documentation"}],"year_creation":2014,"associated_tools":[{"url":"http://miring.b12x.org/index.html","name":"MIRING HML Validator Version 1.1.5"}]},"legacy_ids":["bsg-000578","bsg-s000578"],"name":"FAIRsharing record for: Minimum Information for Reporting Next Generation Sequencing Genotyping","abbreviation":"MIRING","url":"https://fairsharing.org/10.25504/FAIRsharing.jw7rq3","doi":"10.25504/FAIRsharing.jw7rq3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRING defines the minimum information needed to describe genotyping results for HLA and KIR genes generated using Next Generation Sequencing (NGS) methods, allowing reinterpretation in light of continuous developments in reference sequence and genomic alignment resources for these genes. MIRING further defines the elements of a message to be used to exchange genotyping results. Use of MIRING ensures the long-term portability and broad application of NGS genotyping data for histocompatibility, immunogenetic and immunogenomic applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Annotation","Next generation DNA sequencing","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1844,"pubmed_id":26407912,"title":"Minimum information for reporting next generation sequence genotyping (MIRING): Guidelines for reporting HLA and KIR genotyping via next generation sequencing.","year":2015,"url":"http://doi.org/10.1016/j.humimm.2015.09.011","authors":"Mack SJ,Milius RP,Gifford BD,Sauter J,Hofmann J,Osoegawa K,Robinson J,Groeneweg M,Turenchalk GS,Adai A,Holcomb C,Rozemuller EH,Penning MT,Heuer ML,Wang C,Salit ML,Schmidt AH,Parham PR,Muller C,Hague T,Fischer G,Fernandez-Vina M,Hollenbach JA,Norman PJ,Maiers M","journal":"Hum Immunol","doi":"10.1016/j.humimm.2015.09.011","created_at":"2021-09-30T08:25:47.089Z","updated_at":"2021-09-30T08:25:47.089Z"},{"id":1852,"pubmed_id":26319908,"title":"Histoimmunogenetics Markup Language 1.0: Reporting next generation sequencing-based HLA and KIR genotyping","year":2015,"url":"http://doi.org/10.1016/j.humimm.2015.08.001","authors":"Milius RP, Heuer M, Valiga D, Doroschak KJ, Kennedy CJ, Bolon YT, Schneider J, Pollack J, Kim HR, Cereb N, Hollenbach JA, Mack SJ, Maiers M","journal":"Human Immunology","doi":"10.1016/j.humimm.2015.08.001","created_at":"2021-09-30T08:25:48.072Z","updated_at":"2021-09-30T08:25:48.072Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":110,"relation":"undefined"}],"grants":[{"id":4969,"fairsharing_record_id":45,"organisation_id":2229,"relation":"funds","created_at":"2021-09-30T09:27:09.546Z","updated_at":"2021-09-30T09:30:05.930Z","grant_id":550,"is_lead":false,"saved_state":{"id":2229,"name":"Office of Naval Research (ONR), Arlington, VA, USA","grant":"N00014-08-1-1207","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4966,"fairsharing_record_id":45,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:09.430Z","updated_at":"2021-09-30T09:27:09.430Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4970,"fairsharing_record_id":45,"organisation_id":1317,"relation":"maintains","created_at":"2021-09-30T09:27:09.592Z","updated_at":"2021-09-30T09:27:09.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1317,"name":"Immunogenomic Next Generation Sequencing Data Consortium, Oakland, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4968,"fairsharing_record_id":45,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:09.508Z","updated_at":"2021-09-30T09:30:19.135Z","grant_id":654,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI128775","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4967,"fairsharing_record_id":45,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:09.467Z","updated_at":"2021-09-30T09:30:36.541Z","grant_id":788,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U01AI090905","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8289,"fairsharing_record_id":45,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:55.482Z","updated_at":"2021-09-30T09:31:55.527Z","grant_id":1389,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U01AI067068","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8392,"fairsharing_record_id":45,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:25.668Z","updated_at":"2021-09-30T09:32:25.718Z","grant_id":1615,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01GM109030","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"11","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-06T13:35:48.758Z","metadata":{"doi":"10.25504/FAIRsharing.8jns8","name":"e-Mouse Atlas Project Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"emap@emouseatlas.org"}],"homepage":"http://www.emouseatlas.org/emap/ema/home.php","citations":[],"identifier":11,"description":"A structured controlled vocabulary of stage-specific anatomical structures of the mouse used within the e-Mouse Atlas Project.","abbreviation":"EMAP","support_links":[{"url":"http://www.emouseatlas.org/emap/help/faqs.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.emouseatlas.org/emap/community/communityindex.html","type":"Forum"},{"url":"http://www.emouseatlas.org/emap/ema/theiler_stages/StageDefinition/stagedefinition.html","name":"Stage definition","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emap/ema/staging_criteria/staging_criteria.html","name":"Stage criteria","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emap/ema/theiler_stages/movies/ts_movies.html","name":"Movies","type":"Help documentation"}],"year_creation":1991,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EMAP","name":"EMAP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/emap.html","name":"emap","portal":"OBO Foundry"}],"deprecation_date":"2023-09-06","deprecation_reason":"The resource homepage is no longer accessible, and a new homepage cannot be found. Please get in touch with us if you have any questions."},"legacy_ids":["bsg-000027","bsg-s000027"],"name":"FAIRsharing record for: e-Mouse Atlas Project Anatomy Ontology","abbreviation":"EMAP","url":"https://fairsharing.org/10.25504/FAIRsharing.8jns8","doi":"10.25504/FAIRsharing.8jns8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of stage-specific anatomical structures of the mouse used within the e-Mouse Atlas Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Morphology","Life cycle stage"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1108,"pubmed_id":24265223,"title":"EMAGE mouse embryo spatial gene expression database: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1155","authors":"Richardson L,Venkataraman S,Stevenson P,Yang Y,Moss J,Graham L,Burton N,Hill B,Rao J,Baldock RA,Armit C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1155","created_at":"2021-09-30T08:24:22.755Z","updated_at":"2021-09-30T11:28:58.918Z"},{"id":2652,"pubmed_id":26208972,"title":"Mouse anatomy ontologies: enhancements and tools for exploring and integrating biomedical data.","year":2015,"url":"http://doi.org/10.1007/s00335-015-9584-9","authors":"Hayamizu TF,Baldock RA,Ringwald M","journal":"Mamm Genome","doi":"10.1007/s00335-015-9584-9","created_at":"2021-09-30T08:27:25.679Z","updated_at":"2021-09-30T08:27:25.679Z"},{"id":2653,"pubmed_id":23972281,"title":"EMAP/EMAPA ontology of mouse developmental anatomy: 2013 update.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-15","authors":"Hayamizu TF,Wicks MN,Davidson DR,Burger A,Ringwald M,Baldock RA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-15","created_at":"2021-09-30T08:27:25.797Z","updated_at":"2021-09-30T08:27:25.797Z"},{"id":2654,"pubmed_id":14734318,"title":"Formalization of mouse embryo anatomy.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/btg400","authors":"Burger A,Davidson D,Baldock R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btg400","created_at":"2021-09-30T08:27:25.913Z","updated_at":"2021-09-30T08:27:25.913Z"},{"id":2655,"pubmed_id":9651497,"title":"An internet-accessible database of mouse developmental anatomy based on a systematic nomenclature.","year":1998,"url":"http://doi.org/10.1016/s0925-4773(98)00069-0","authors":"Bard JL,Kaufman MH,Dubreuil C,Brune RM,Burger A,Baldock RA,Davidson DR","journal":"Mech Dev","doi":"10.1016/s0925-4773(98)00069-0","created_at":"2021-09-30T08:27:26.029Z","updated_at":"2021-09-30T08:27:26.029Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1402,"relation":"undefined"}],"grants":[{"id":4896,"fairsharing_record_id":11,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:27:06.701Z","updated_at":"2021-09-30T09:31:08.687Z","grant_id":1037,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"HD062499","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":4897,"fairsharing_record_id":11,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:06.737Z","updated_at":"2021-09-30T09:32:36.362Z","grant_id":1696,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"U.1275.2.4.4.1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9154,"fairsharing_record_id":11,"organisation_id":2015,"relation":"funds","created_at":"2022-04-11T12:07:18.049Z","updated_at":"2022-04-11T12:07:18.066Z","grant_id":272,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK092983","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"12","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:25.425Z","metadata":{"doi":"10.25504/FAIRsharing.24yjfc","name":"Habronattus Courtship Ontology","status":"deprecated","contacts":[{"contact_email":"peteremidford@yahoo.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1020","identifier":12,"description":"A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for courtship behavior of the spider Habronattus californicus.","abbreviation":"HC","deprecation_date":"2016-03-10","deprecation_reason":"This ontology is no longer maintained and doesn't appear to be available for use."},"legacy_ids":["bsg-002602","bsg-s002602"],"name":"FAIRsharing record for: Habronattus Courtship Ontology","abbreviation":"HC","url":"https://fairsharing.org/10.25504/FAIRsharing.24yjfc","doi":"10.25504/FAIRsharing.24yjfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for courtship behavior of the spider Habronattus californicus.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Behavior"],"taxonomies":["Habronattus californicus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"13","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-28T10:00:33.761Z","metadata":{"doi":"10.25504/FAIRsharing.pdwqcr","name":"Mouse Adult Gross Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Terry Hayamizu","contact_email":"Terry.Hayamizu@jax.org"}],"homepage":"http://www.informatics.jax.org/vocab/gxd/ma_ontology/","citations":[],"identifier":13,"description":"The Anatomy Ontology for the Adult Mouse is organized spatially and functionally, using \"is a\" and \"part of\" relationships to describe the anatomy of the postnatal mouse. Anatomical terms are arranged as a hierarchy from body region or organ system to tissue substructure. Modeling the anatomy hierarchically makes it possible to record expression results from assays with differing spatial resolution in a consistent and integrated manner. Organizing the anatomical terms as a Directed Acyclic Graph (DAG), i.e., in which a term can have more than one parent, allows presentation of the anatomy from multiple perspectives. In various locations, this ontology is also referred to as: 'Mouse Adult Gross Anatomy ontology', 'Adult Mouse Anatomy', 'Mouse Anatomy' or 'Mouse anatomical entity'. ","abbreviation":"MA","support_links":[{"url":"MAontology@jax.org","name":"General enquiries","type":"Support email"},{"url":"www.informatics.jax.org/userhelp/VOCAB_amad_browser_help.shtml","name":"About the Ontology","type":"Help documentation"},{"url":"https://github.com/obophenotype/mouse-anatomy-ontology","name":"GitHub Project","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MA","name":"MA in BioPortal","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ma.html","name":"MA in the OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000028","bsg-s000028"],"name":"FAIRsharing record for: Mouse Adult Gross Anatomy Ontology","abbreviation":"MA","url":"https://fairsharing.org/10.25504/FAIRsharing.pdwqcr","doi":"10.25504/FAIRsharing.pdwqcr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Anatomy Ontology for the Adult Mouse is organized spatially and functionally, using \"is a\" and \"part of\" relationships to describe the anatomy of the postnatal mouse. Anatomical terms are arranged as a hierarchy from body region or organ system to tissue substructure. Modeling the anatomy hierarchically makes it possible to record expression results from assays with differing spatial resolution in a consistent and integrated manner. Organizing the anatomical terms as a Directed Acyclic Graph (DAG), i.e., in which a term can have more than one parent, allows presentation of the anatomy from multiple perspectives. In various locations, this ontology is also referred to as: 'Mouse Adult Gross Anatomy ontology', 'Adult Mouse Anatomy', 'Mouse Anatomy' or 'Mouse anatomical entity'. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":["Organ","Tissue"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1285,"pubmed_id":15774030,"title":"The Adult Mouse Anatomical Dictionary: a tool for annotating and integrating data.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-3-r29","authors":"Hayamizu TF,Mangan M,Corradi JP,Kadin JA,Ringwald M","journal":"Genome Biol","doi":"10.1186/gb-2005-6-3-r29","created_at":"2021-09-30T08:24:43.433Z","updated_at":"2021-09-30T08:24:43.433Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2734,"relation":"applies_to_content"}],"grants":[{"id":4900,"fairsharing_record_id":13,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:27:06.855Z","updated_at":"2022-07-19T10:45:41.184Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":4901,"fairsharing_record_id":13,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:06.923Z","updated_at":"2021-09-30T09:31:32.742Z","grant_id":1218,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HD33745","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"14","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:45:12.112Z","metadata":{"doi":"10.25504/FAIRsharing.r1rjvx","name":"Process and Observation Ontology","status":"ready","contacts":[{"contact_name":"Stéphane Dervaux","contact_email":"stephane.dervaux@versailles.inra.fr"}],"homepage":"http://dx.doi.org/10.15454/1.4702114192525708E12","identifier":14,"description":"A core ontology for modeling transformation processes and their observations. PO2 is part of an interdisciplinary project called Delicious concerning the production and transformation processes in food science. The project combines data from different disciplines like food composition, food structure, sensorial perception and nutrition.","abbreviation":"PO2","year_creation":2016},"legacy_ids":["bsg-001102","bsg-s001102"],"name":"FAIRsharing record for: Process and Observation Ontology","abbreviation":"PO2","url":"https://fairsharing.org/10.25504/FAIRsharing.r1rjvx","doi":"10.25504/FAIRsharing.r1rjvx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A core ontology for modeling transformation processes and their observations. PO2 is part of an interdisciplinary project called Delicious concerning the production and transformation processes in food science. The project combines data from different disciplines like food composition, food structure, sensorial perception and nutrition.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Life Science"],"domains":["Food","Sense of smell","Sense of taste"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1839,"pubmed_id":null,"title":"PO2 - A Process and Observation Ontology in Food Science. Application to Dairy Gels","year":2016,"url":"http://doi.org/10.1007/978-3-319-49157-8_13","authors":"Ibanescu L., Dibie J., Dervaux S., Guichard E., Raad J.","journal":"In: Garoufallou E., Subirats Coll I., Stellato A., Greenberg J. (eds) Metadata and Semantics Research. MTSR 2016. Communications in Computer and Information Science, vol 672.","doi":"10.1007/978-3-319-49157-8_13","created_at":"2021-09-30T08:25:46.547Z","updated_at":"2021-09-30T08:25:46.547Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":962,"relation":"undefined"}],"grants":[{"id":4902,"fairsharing_record_id":14,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:06.964Z","updated_at":"2021-09-30T09:27:06.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"29","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:43:39.906Z","metadata":{"doi":"10.25504/FAIRsharing.p52pzj","name":"Drosophila developmental ontology","status":"ready","contacts":[{"contact_name":"Clare Pilgrim","contact_email":"cp390@cam.ac.uk","contact_orcid":"0000-0002-1373-1705"}],"homepage":"http://flybase.org/vocabularies","citations":[],"identifier":29,"description":"An ontology of the developmental stages of Drosophila melanogaster. It provides a controlled vocabulary for use in annotation and classification of data related to Drosophila, such as gene expression, phenotypes and images.","abbreviation":"FBdv","support_links":[{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology/issues","type":"Github"},{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology","type":"Github"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FB-DV","name":"FB-DV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fbdv.html","name":"FBdv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000055","bsg-s000055"],"name":"FAIRsharing record for: Drosophila developmental ontology","abbreviation":"FBdv","url":"https://fairsharing.org/10.25504/FAIRsharing.p52pzj","doi":"10.25504/FAIRsharing.p52pzj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of the developmental stages of Drosophila melanogaster. It provides a controlled vocabulary for use in annotation and classification of data related to Drosophila, such as gene expression, phenotypes and images.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3670,"relation":"applies_to_content"}],"grants":[{"id":4934,"fairsharing_record_id":29,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:08.048Z","updated_at":"2021-09-30T09:27:08.048Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11846,"fairsharing_record_id":29,"organisation_id":4424,"relation":"maintains","created_at":"2024-06-26T13:03:58.350Z","updated_at":"2024-06-27T09:29:32.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":4424,"name":"Department of Physiology, Development and Neuroscience","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"30","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-21T11:23:31.939Z","metadata":{"doi":"10.25504/FAIRsharing.n66krd","name":"Neural ElectroMagnetic Ontologies","status":"deprecated","contacts":[{"contact_name":"NEMO administrators","contact_email":"ahoyleo@cs.uoregon.edu"}],"homepage":"http://aimlab.cs.uoregon.edu/NEMO/web/index.html","citations":[],"identifier":30,"description":"Neural ElectroMagnetic Ontology (NEMO) describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive/behavioral) attributes, and data-level attributes (acquisition and analysis parameters). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","abbreviation":"NEMO","support_links":[{"url":"dou@cs.uoregon.edu","name":"NEMO Project Contact Person","type":"Support email"}],"year_creation":2008,"associated_tools":[{"url":"https://sourceforge.net/p/nemoontologies/code/HEAD/tree/toolkit/release/","name":"NEMO Toolkit"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NEMO","name":"BioPortal:NEMO","portal":"BioPortal"}],"deprecation_date":"2022-01-19","deprecation_reason":"The ontology haven't been updated in years. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000059","bsg-s000059"],"name":"FAIRsharing record for: Neural ElectroMagnetic Ontologies","abbreviation":"NEMO","url":"https://fairsharing.org/10.25504/FAIRsharing.n66krd","doi":"10.25504/FAIRsharing.n66krd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Neural ElectroMagnetic Ontology (NEMO) describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive/behavioral) attributes, and data-level attributes (acquisition and analysis parameters). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Cognitive Neuroscience","Life Science"],"domains":["Neuron","Imaging","Cognition","Electroencephalography","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Interoperability"],"countries":["United States"],"publications":[{"id":1250,"pubmed_id":22180824,"title":"Minimal Information for Neural Electromagnetic Ontologies (MINEMO): A standards-compliant method for analysis and integration of event-related potentials (ERP) data.","year":2011,"url":"http://doi.org/10.4056/sigs.2025347","authors":"Frishkoff G,Sydes J,Mueller K,Frank R,Curran T,Connolly J,Kilborn K,Molfese D,Perfetti C,Malony A","journal":"Stand Genomic Sci","doi":"10.4056/sigs.2025347","created_at":"2021-09-30T08:24:39.433Z","updated_at":"2021-09-30T08:24:39.433Z"},{"id":1860,"pubmed_id":null,"title":"Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials","year":2009,"url":"http://doi.org/10.1038/npre.2009.3458.1","authors":"Frishkoff, G., Le Pendu, P., Frank, R., Liu, H., \u0026 Dou, D.","journal":"Proceedings of the International Conference on Biomedical Ontologies (ICBO)","doi":"10.1038/npre.2009.3458.1","created_at":"2021-09-30T08:25:48.957Z","updated_at":"2021-09-30T08:25:48.957Z"}],"licence_links":[],"grants":[{"id":4936,"fairsharing_record_id":30,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:08.132Z","updated_at":"2021-09-30T09:29:57.004Z","grant_id":482,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01EB007684","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8741,"fairsharing_record_id":30,"organisation_id":3356,"relation":"maintains","created_at":"2022-01-21T11:20:34.644Z","updated_at":"2022-01-21T11:20:34.644Z","grant_id":null,"is_lead":true,"saved_state":{"id":3356,"name":"Aim lab","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"31","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:44:31.053Z","metadata":{"doi":"10.25504/FAIRsharing.zevp0z","name":"Systems Biology Results Markup Language","status":"ready","contacts":[{"contact_email":"pedro.mendes@manchester.ac.uk"}],"homepage":"http://www.comp-sys-bio.org/SBRML.html","identifier":31,"description":"Systems Biology Results markup language (SBRML) specifies models composed of molecular species, and their interactions (including reactions). The markup language is intended to specify results from operations carried out on models Ñ SBRML. This resource can be used to communicate experimental data as long as it is possible to express the data in terms of a reference SBML model. SBRML is a means of specifying quantitative results in the context of a systems biology model.","abbreviation":"SBRML","support_links":[{"url":"http://www.comp-sys-bio.org/static/SBRML-spec-level1-version1.pdf","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-000149","bsg-s000149"],"name":"FAIRsharing record for: Systems Biology Results Markup Language","abbreviation":"SBRML","url":"https://fairsharing.org/10.25504/FAIRsharing.zevp0z","doi":"10.25504/FAIRsharing.zevp0z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Systems Biology Results markup language (SBRML) specifies models composed of molecular species, and their interactions (including reactions). The markup language is intended to specify results from operations carried out on models Ñ SBRML. This resource can be used to communicate experimental data as long as it is possible to express the data in terms of a reference SBML model. SBRML is a means of specifying quantitative results in the context of a systems biology model.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11156},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16941}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Biology","Life Science","Systems Biology"],"domains":["Modeling and simulation","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":20,"pubmed_id":20176582,"title":"SBRML: a markup language for associating systems biology data with models.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq069","authors":"Dada JO,Spasic I,Paton NW,Mendes P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq069","created_at":"2021-09-30T08:22:22.555Z","updated_at":"2021-09-30T08:22:22.555Z"}],"licence_links":[{"licence_name":"Academic Free License (AFL)","licence_id":4,"licence_url":"https://opensource.org/licenses/AFL-3.0","link_id":1043,"relation":"undefined"}],"grants":[{"id":4937,"fairsharing_record_id":31,"organisation_id":1818,"relation":"maintains","created_at":"2021-09-30T09:27:08.173Z","updated_at":"2021-09-30T09:27:08.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":1818,"name":"Mendes Research Group, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":4938,"fairsharing_record_id":31,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:08.212Z","updated_at":"2021-09-30T09:29:14.753Z","grant_id":156,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/C008129/2","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"32","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:25.680Z","metadata":{"doi":"10.25504/FAIRsharing.20df5w","name":"ENCODE peak information Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format13","identifier":32,"description":"The ENCODE peak information Format is used to provide called regions of signal enrichment based on pooled, normalized (interpreted) data.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000227","bsg-s000227"],"name":"FAIRsharing record for: ENCODE peak information Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.20df5w","doi":"10.25504/FAIRsharing.20df5w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ENCODE peak information Format is used to provide called regions of signal enrichment based on pooled, normalized (interpreted) data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome","Regulatory region"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4939,"fairsharing_record_id":32,"organisation_id":3037,"relation":"undefined","created_at":"2021-09-30T09:27:08.249Z","updated_at":"2021-09-30T09:27:08.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":4940,"fairsharing_record_id":32,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:08.291Z","updated_at":"2021-09-30T09:27:08.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"33","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:57:33.129Z","metadata":{"doi":"10.25504/FAIRsharing.ny3z9j","name":"Biological Imaging methods Ontology","status":"ready","contacts":[{"contact_name":"Chris Woodcock","contact_email":"chris@bio.umass.edu"}],"homepage":"http://flybase.org/vocabularies","identifier":33,"description":"A structured controlled vocabulary of sample preparation, visualization and imaging methods used in biomedical research.","abbreviation":"FBbi","support_links":[{"url":"http://flybase.org/contact/email","name":"General contact","type":"Contact form"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FBbi","name":"FBbi","portal":"BioPortal"}]},"legacy_ids":["bsg-000072","bsg-s000072"],"name":"FAIRsharing record for: Biological Imaging methods Ontology","abbreviation":"FBbi","url":"https://fairsharing.org/10.25504/FAIRsharing.ny3z9j","doi":"10.25504/FAIRsharing.ny3z9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of sample preparation, visualization and imaging methods used in biomedical research.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16143}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Imaging","Image","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":4942,"fairsharing_record_id":33,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:27:08.365Z","updated_at":"2021-09-30T09:27:08.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"34","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:45:12.388Z","metadata":{"doi":"10.25504/FAIRsharing.fw8k2k","name":"Thesaurus for Animal Physiology and Livestock Systems","status":"deprecated","contacts":[{"contact_name":"Agnes Girard","contact_email":"agnes.girard@rennes.inra.fr"}],"homepage":"http://agroportal.lirmm.fr/ontologies/TRIPHASE","citations":[],"identifier":34,"description":"TriPhase is a large thesaurus in the domain of animal physiology and livestock designed by INRA. This resource has been marked as Uncertain as we cannot find a homepage, publication or other documentation for it. Please contact us if you have any information regarding this resource.","abbreviation":"TRIPHASE","support_links":[{"url":"claire.nedellec@jouy.inra.fr","name":"Claire Nedellec","type":"Support email"}],"year_creation":2015,"deprecation_date":"2022-03-24","deprecation_reason":"This ontology is obsolete and inactive. "},"legacy_ids":["bsg-001116","bsg-s001116"],"name":"FAIRsharing record for: Thesaurus for Animal Physiology and Livestock Systems","abbreviation":"TRIPHASE","url":"https://fairsharing.org/10.25504/FAIRsharing.fw8k2k","doi":"10.25504/FAIRsharing.fw8k2k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TriPhase is a large thesaurus in the domain of animal physiology and livestock designed by INRA. This resource has been marked as Uncertain as we cannot find a homepage, publication or other documentation for it. Please contact us if you have any information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Physiology","Animal Husbandry","Life Science"],"domains":[],"taxonomies":["Animalia"],"user_defined_tags":["Livestock"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1841,"relation":"undefined"}],"grants":[{"id":4943,"fairsharing_record_id":34,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:08.433Z","updated_at":"2021-09-30T09:27:08.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"35","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-01T10:00:52.112Z","metadata":{"doi":"10.25504/FAIRsharing.sm90nh","name":"C. elegans development","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"wchen@its.caltech.edu"}],"homepage":"https://www.wormbase.org/tools/ontology_browser","citations":[],"identifier":35,"description":"A structured controlled vocabulary of the development of Caenorhabditis elegans. This resource is also referred to as the Life Stage ontology on the wormbase database.","abbreviation":"WBLS","support_links":[{"url":"https://github.com/obophenotype/c-elegans-development-ontology","name":"GitHub","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WB-LS","name":"WB-LS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/wbls.html","name":"wbls","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000057","bsg-s000057"],"name":"FAIRsharing record for: C. elegans development","abbreviation":"WBLS","url":"https://fairsharing.org/10.25504/FAIRsharing.sm90nh","doi":"10.25504/FAIRsharing.sm90nh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the development of Caenorhabditis elegans. This resource is also referred to as the Life Stage ontology on the wormbase database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4945,"fairsharing_record_id":35,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:08.516Z","updated_at":"2021-09-30T09:27:08.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4944,"fairsharing_record_id":35,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:27:08.474Z","updated_at":"2021-09-30T09:27:08.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"28","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:43:43.623Z","metadata":{"doi":"10.25504/FAIRsharing.y2qkst","name":"Drosophila anatomy ontology","status":"ready","contacts":[{"contact_name":"Clare Pilgrim","contact_email":"cp390@cam.ac.uk","contact_orcid":"0000-0002-1373-1705"}],"homepage":"http://flybase.org/vocabularies","citations":[],"identifier":28,"description":"An ontology of the anatomy of Drosophila melanogaster. It can be used for annotation and classification of data related to Drosophila anatomy, such as gene expression, phenotype and images. It was originally developed by FlyBase, who continue to maintain it and use it for curation.","abbreviation":"FBbt","support_links":[{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology/issues","type":"Github"},{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology","type":"Github"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FB-BT","name":"FB-BT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fbbt.html","name":"FBbt","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000010","bsg-s000010"],"name":"FAIRsharing record for: Drosophila anatomy ontology","abbreviation":"FBbt","url":"https://fairsharing.org/10.25504/FAIRsharing.y2qkst","doi":"10.25504/FAIRsharing.y2qkst","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of the anatomy of Drosophila melanogaster. It can be used for annotation and classification of data related to Drosophila anatomy, such as gene expression, phenotype and images. It was originally developed by FlyBase, who continue to maintain it and use it for curation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Gene expression","Image","Phenotype","Life cycle stage"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":878,"pubmed_id":16381917,"title":"FlyBase: anatomical data, images and queries.","year":2005,"url":"http://doi.org/10.1093/nar/gkj068","authors":"Grumbling G,Strelets V","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj068","created_at":"2021-09-30T08:23:56.919Z","updated_at":"2021-09-30T11:28:54.635Z"},{"id":1847,"pubmed_id":24139062,"title":"The Drosophila anatomy ontology","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-32","authors":"Costa M., Reeve S., Grumbling G., Osumi-Sutherland D.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-4-32","created_at":"2021-09-30T08:25:47.473Z","updated_at":"2021-09-30T08:25:47.473Z"},{"id":1856,"pubmed_id":22402613,"title":"A strategy for building neuro-anatomy ontologies","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts113","authors":"Osumi-Sutherland D., Reeve S., Mungall C., Ruttenberg A. Neuhaus F, Jefferis G.S.X.E, Armstrong J.D.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts113","created_at":"2021-09-30T08:25:48.506Z","updated_at":"2021-09-30T08:25:48.506Z"},{"id":1858,"pubmed_id":22180411,"title":"The Virtual Fly Brain Browser and Query Interface","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr677","authors":"Milyaev N., Osumi-Sutherland D., Reeve S., Burton N., Baldock R.A., Armstrong J.D.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr677","created_at":"2021-09-30T08:25:48.723Z","updated_at":"2021-09-30T08:25:48.723Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3669,"relation":"applies_to_content"}],"grants":[{"id":4929,"fairsharing_record_id":28,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:07.848Z","updated_at":"2021-09-30T09:27:07.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"Wellcome","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":4926,"fairsharing_record_id":28,"organisation_id":3191,"relation":"maintains","created_at":"2021-09-30T09:27:07.737Z","updated_at":"2021-09-30T09:27:07.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":3191,"name":"Virtual Fly Brain","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4931,"fairsharing_record_id":28,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:07.932Z","updated_at":"2021-09-30T09:27:07.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4928,"fairsharing_record_id":28,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:07.801Z","updated_at":"2021-09-30T09:29:02.793Z","grant_id":70,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/G02233X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11845,"fairsharing_record_id":28,"organisation_id":4424,"relation":"maintains","created_at":"2024-06-26T13:02:28.711Z","updated_at":"2024-06-27T09:28:21.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":4424,"name":"Department of Physiology, Development and Neuroscience","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"36","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-18T14:39:36.815Z","metadata":{"doi":"10.25504/FAIRsharing.3gxr9b","name":"Simple Omnibus Format in Text","status":"ready","contacts":[{"contact_name":"Tanya Barrett","contact_email":"barrett@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/geo/info/soft2.html","identifier":36,"description":"Using Simple Omnibus Format in Text (SOFT), researchers can readily upload and download data. The resource is text-based so can be compatible with simple spreadsheets and data applications. A SOFT file can simultaneously contain both tabulated data as well as descriptive information for a chain of related Platforms, Samples, and/or Series records.","abbreviation":"SOFT","support_links":[{"url":"http://www.ncbi.nlm.nih.gov/geo/info/soft2.html","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/geo/info/soft.html","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-000077","bsg-s000077"],"name":"FAIRsharing record for: Simple Omnibus Format in Text","abbreviation":"SOFT","url":"https://fairsharing.org/10.25504/FAIRsharing.3gxr9b","doi":"10.25504/FAIRsharing.3gxr9b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Using Simple Omnibus Format in Text (SOFT), researchers can readily upload and download data. The resource is text-based so can be compatible with simple spreadsheets and data applications. A SOFT file can simultaneously contain both tabulated data as well as descriptive information for a chain of related Platforms, Samples, and/or Series records.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12402}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science"],"domains":["Assay","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":430,"pubmed_id":11752295,"title":"Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.207","authors":"Edgar R., Domrachev M., Lash AE.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.207","created_at":"2021-09-30T08:23:06.766Z","updated_at":"2021-09-30T08:23:06.766Z"},{"id":1002,"pubmed_id":15608262,"title":"NCBI GEO: mining millions of expression profiles--database and tools.","year":2004,"url":"http://doi.org/10.1093/nar/gki022","authors":"Barrett T,Suzek TO,Troup DB,Wilhite SE,Ngau WC,Ledoux P,Rudnev D,Lash AE,Fujibuchi W,Edgar R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki022","created_at":"2021-09-30T08:24:10.902Z","updated_at":"2021-09-30T11:28:56.625Z"},{"id":1416,"pubmed_id":17099226,"title":"NCBI GEO: mining tens of millions of expression profiles--database and tools update.","year":2006,"url":"http://doi.org/10.1093/nar/gkl887","authors":"Barrett T,Troup DB,Wilhite SE,Ledoux P,Rudnev D,Evangelista C,Kim IF,Soboleva A,Tomashevsky M,Edgar R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl887","created_at":"2021-09-30T08:24:58.232Z","updated_at":"2021-09-30T11:29:08.243Z"}],"licence_links":[],"grants":[{"id":4946,"fairsharing_record_id":36,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:08.567Z","updated_at":"2022-01-18T14:35:30.443Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"37","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-16T19:03:52.354Z","metadata":{"doi":"10.25504/FAIRsharing.jkt8ye","name":"i2b2-patient_visit_dimensions","status":"ready","contacts":[],"homepage":"https://www.i2b2.org","citations":[],"identifier":37,"description":"This database is a tool for describing patient information and facts such as patient health history, diagnosis, medication etc...This is supported by the i2b2 software. Datasets are gathered from a variety of sources. The i2b2 team merged with the TranSMART Foundation in 2017.","abbreviation":"i2b2-patvisdims","support_links":[{"url":"https://community.i2b2.org/wiki/display/IWG/Ontology+Basics?preview=/337069/337134/Ontology%20basics.ppt","name":"Presentation","type":"Help documentation"},{"url":"https://community.i2b2.org/wiki/pages/viewpage.action?pageId=342684","name":"i2b2 Community Wiki","type":"Wikipedia"}],"year_creation":2005},"legacy_ids":["bsg-002815","bsg-s002815"],"name":"FAIRsharing record for: i2b2-patient_visit_dimensions","abbreviation":"i2b2-patvisdims","url":"https://fairsharing.org/10.25504/FAIRsharing.jkt8ye","doi":"10.25504/FAIRsharing.jkt8ye","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is a tool for describing patient information and facts such as patient health history, diagnosis, medication etc...This is supported by the i2b2 software. Datasets are gathered from a variety of sources. The i2b2 team merged with the TranSMART Foundation in 2017.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4948,"fairsharing_record_id":37,"organisation_id":1296,"relation":"maintains","created_at":"2021-09-30T09:27:08.643Z","updated_at":"2021-09-30T09:27:08.643Z","grant_id":null,"is_lead":false,"saved_state":{"id":1296,"name":"I2b2 Transmart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":4949,"fairsharing_record_id":37,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:27:08.674Z","updated_at":"2021-09-30T09:27:08.674Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4950,"fairsharing_record_id":37,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:08.712Z","updated_at":"2021-09-30T09:27:08.712Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"38","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:15:40.156Z","metadata":{"doi":"10.25504/FAIRsharing.cfcd4r","name":"Neurophysiology Data Translation Format","status":"ready","homepage":"https://www.frontiersin.org/10.3389/conf.fnins.2010.13.00118/event_abstract","identifier":38,"description":"The purpose of the Neurophysiology Data Translation Format (NDF) is to provide a means of sharing neurophysiology experimental data and derived data between services and tools developed within the CARMEN project. This document specifies the NDF. The specification supports the types of data that are currently used by members of the CARMEN consortium and provides a capability to support future data types. It is capable of accommodating external data file formats as well as metadata such as user defined experimental descriptions and the history (provenance) of derived data.","abbreviation":"NDF","year_creation":2010},"legacy_ids":["bsg-000081","bsg-s000081"],"name":"FAIRsharing record for: Neurophysiology Data Translation Format","abbreviation":"NDF","url":"https://fairsharing.org/10.25504/FAIRsharing.cfcd4r","doi":"10.25504/FAIRsharing.cfcd4r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of the Neurophysiology Data Translation Format (NDF) is to provide a means of sharing neurophysiology experimental data and derived data between services and tools developed within the CARMEN project. This document specifies the NDF. The specification supports the types of data that are currently used by members of the CARMEN consortium and provides a capability to support future data types. It is capable of accommodating external data file formats as well as metadata such as user defined experimental descriptions and the history (provenance) of derived data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurophysiology","Life Science"],"domains":["Neuron","Assay"],"taxonomies":[],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":4951,"fairsharing_record_id":38,"organisation_id":3154,"relation":"maintains","created_at":"2021-09-30T09:27:08.745Z","updated_at":"2021-09-30T09:27:08.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4952,"fairsharing_record_id":38,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:08.778Z","updated_at":"2021-09-30T09:32:01.169Z","grant_id":1430,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/E002331/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4953,"fairsharing_record_id":38,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:08.802Z","updated_at":"2021-09-30T09:29:23.957Z","grant_id":231,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000984/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"39","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-21T11:29:38.372Z","metadata":{"doi":"10.25504/FAIRsharing.gp3r4n","name":"Preferred Reporting Items for Systematic reviews and Meta-Analyses","status":"ready","contacts":[{"contact_name":"general contact","contact_email":"prisma@ohri.ca"}],"homepage":"http://www.prisma-statement.org/","citations":[],"identifier":39,"description":"PRISMA is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses.The aim of the PRISMA Statement is to help authors improve the reporting of systematic reviews and meta-analyses. This resource focuses on randomized trials, but can also be used as a basis for reporting systematic reviews of other types of research, particularly evaluations of interventions.","abbreviation":"PRISMA","support_links":[{"url":"http://www.prisma-statement.org/News","name":"News","type":"Blog/News"},{"url":"http://www.prisma-statement.org/PRISMAStatement/Checklist","name":"Checklists","type":"Help documentation"},{"url":"https://twitter.com/PRISMAStatement","type":"Twitter"}],"year_creation":2009},"legacy_ids":["bsg-000065","bsg-s000065"],"name":"FAIRsharing record for: Preferred Reporting Items for Systematic reviews and Meta-Analyses","abbreviation":"PRISMA","url":"https://fairsharing.org/10.25504/FAIRsharing.gp3r4n","doi":"10.25504/FAIRsharing.gp3r4n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRISMA is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses.The aim of the PRISMA Statement is to help authors improve the reporting of systematic reviews and meta-analyses. This resource focuses on randomized trials, but can also be used as a basis for reporting systematic reviews of other types of research, particularly evaluations of interventions.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11930},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12396},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16931}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Systematic review","Data transformation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Italy","United Kingdom"],"publications":[{"id":1978,"pubmed_id":19621072,"title":"Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.","year":2009,"url":"http://doi.org/10.1371/journal.pmed.1000097","authors":"Moher D,Liberati A,Tetzlaff J,Altman DG","journal":"PLoS Med","doi":"10.1371/journal.pmed.1000097","created_at":"2021-09-30T08:26:02.573Z","updated_at":"2021-09-30T08:26:02.573Z"},{"id":4134,"pubmed_id":null,"title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1136/bmj.n71","authors":"Page, Matthew J; McKenzie, Joanne E; Bossuyt, Patrick M; Boutron, Isabelle; Hoffmann, Tammy C; Mulrow, Cynthia D; Shamseer, Larissa; Tetzlaff, Jennifer M; Akl, Elie A; Brennan, Sue E; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M; Hróbjartsson, Asbjørn; Lalu, Manoj M; Li, Tianjing; Loder, Elizabeth W; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A; Stewart, Lesley A; Thomas, James; Tricco, Andrea C; Welch, Vivian A; Whiting, Penny; Moher, David; ","journal":"BMJ","doi":"10.1136/bmj.n71","created_at":"2024-02-17T09:35:06.852Z","updated_at":"2024-02-17T09:35:06.852Z"},{"id":4135,"pubmed_id":null,"title":"The PRISMA 2020 statement: An updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1371/journal.pmed.1003583","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"PLoS Med","doi":"10.1371/journal.pmed.1003583","created_at":"2024-02-17T09:35:23.627Z","updated_at":"2024-02-17T09:35:23.627Z"},{"id":4136,"pubmed_id":null,"title":"The PRISMA 2020 statement: An updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1016/j.ijsu.2021.105906","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"International Journal of Surgery","doi":"10.1016/j.ijsu.2021.105906","created_at":"2024-02-17T09:35:40.038Z","updated_at":"2024-02-17T09:35:40.038Z"},{"id":4137,"pubmed_id":null,"title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1186/s13643-021-01626-4","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"Syst Rev","doi":"10.1186/s13643-021-01626-4","created_at":"2024-02-17T09:35:54.180Z","updated_at":"2024-02-17T09:35:54.180Z"},{"id":4138,"pubmed_id":null,"title":"The PRISMA 2020 statement: An updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1016/j.jclinepi.2021.03.001","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"Journal of Clinical Epidemiology","doi":"10.1016/j.jclinepi.2021.03.001","created_at":"2024-02-17T09:37:15.940Z","updated_at":"2024-02-17T09:37:15.940Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3504,"relation":"applies_to_content"}],"grants":[{"id":9070,"fairsharing_record_id":39,"organisation_id":3112,"relation":"maintains","created_at":"2022-03-30T10:05:33.063Z","updated_at":"2022-03-30T10:05:33.063Z","grant_id":null,"is_lead":true,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":4960,"fairsharing_record_id":39,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:27:09.035Z","updated_at":"2021-09-30T09:30:06.181Z","grant_id":552,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"COFIN - PRIN 2006 prot. 2006062298","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6327,"fairsharing_record_id":39,"organisation_id":1381,"relation":"maintains","created_at":"2021-09-30T09:27:56.669Z","updated_at":"2022-04-07T22:02:38.410Z","grant_id":null,"is_lead":true,"saved_state":{"id":1381,"name":"Institute for Genome Sciences, University of Maryland, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":4954,"fairsharing_record_id":39,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:27:08.832Z","updated_at":"2021-09-30T09:27:08.832Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4955,"fairsharing_record_id":39,"organisation_id":3099,"relation":"funds","created_at":"2021-09-30T09:27:08.874Z","updated_at":"2021-09-30T09:27:08.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":3099,"name":"University of Modena and Emilia-romagna","types":["University"],"is_lead":false,"relation":"funds"}},{"id":4958,"fairsharing_record_id":39,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:27:08.986Z","updated_at":"2021-09-30T09:27:08.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11397,"fairsharing_record_id":39,"organisation_id":2280,"relation":"maintains","created_at":"2024-02-20T11:26:17.904Z","updated_at":"2024-02-20T11:26:17.904Z","grant_id":null,"is_lead":true,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6328,"fairsharing_record_id":39,"organisation_id":2184,"relation":"funds","created_at":"2021-09-30T09:27:56.711Z","updated_at":"2022-04-07T22:02:38.476Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6330,"fairsharing_record_id":39,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:56.782Z","updated_at":"2022-04-07T22:02:38.659Z","grant_id":37,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54-HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9067,"fairsharing_record_id":39,"organisation_id":544,"relation":"funds","created_at":"2022-03-30T07:55:19.341Z","updated_at":"2022-03-30T07:55:19.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":544,"name":"Cochrane, London, United Kingdom","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8083,"fairsharing_record_id":39,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:30:50.062Z","updated_at":"2021-09-30T09:30:50.114Z","grant_id":893,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"COFIN - PRIN 2002 prot. 2002061749","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9069,"fairsharing_record_id":39,"organisation_id":1892,"relation":"maintains","created_at":"2022-03-30T10:05:33.034Z","updated_at":"2022-03-30T10:05:33.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":1892,"name":"Monash University, Melbourne, Australia","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7873,"fairsharing_record_id":39,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:18.299Z","updated_at":"2022-04-07T22:02:38.539Z","grant_id":187,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R24OD011883","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9264,"fairsharing_record_id":39,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.379Z","updated_at":"2022-04-11T12:07:26.395Z","grant_id":784,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"R01RR025342","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9265,"fairsharing_record_id":39,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.456Z","updated_at":"2022-04-11T12:07:26.471Z","grant_id":10,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"R01RR025341","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb2tEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--84bb3896258fdecb0010dc42333efe4bdefd681b/Screenshot%20from%202024-02-17%2009-38-06.png?disposition=inline","exhaustive_licences":true}},{"id":"40","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:32:26.790Z","metadata":{"doi":"10.25504/FAIRsharing.ge8y23","name":"Groundnut Ontology","status":"ready","contacts":[{"contact_name":"Trushar Shah","contact_email":"tm.shah@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_337:ROOT","citations":[],"identifier":40,"description":"The Groundnut Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_337","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001118","bsg-s001118"],"name":"FAIRsharing record for: Groundnut Ontology","abbreviation":"CO_337","url":"https://fairsharing.org/10.25504/FAIRsharing.ge8y23","doi":"10.25504/FAIRsharing.ge8y23","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Groundnut Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Arachis hypogaea"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1809,"relation":"undefined"}],"grants":[{"id":4962,"fairsharing_record_id":40,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:09.108Z","updated_at":"2021-09-30T09:27:09.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":4961,"fairsharing_record_id":40,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:27:09.065Z","updated_at":"2021-09-30T09:27:09.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"15","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:31.763Z","metadata":{"doi":"10.25504/FAIRsharing.dqnfkg","name":"Mosquito gross anatomy","status":"uncertain","contacts":[{"contact_name":"C. Louis","contact_email":"louis@imbb.forth.gr"}],"homepage":"https://www.vectorbase.org/ontology-browser","identifier":15,"description":"A structured controlled vocabulary of the anatomy of mosquitoes.","abbreviation":"TGMA","support_links":[{"url":"https://www.vectorbase.org/contact","name":"General contact","type":"Contact form"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TGMA","name":"TGMA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tgma.html","name":"tgma","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000026","bsg-s000026"],"name":"FAIRsharing record for: Mosquito gross anatomy","abbreviation":"TGMA","url":"https://fairsharing.org/10.25504/FAIRsharing.dqnfkg","doi":"10.25504/FAIRsharing.dqnfkg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy of mosquitoes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Culicidae"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":2331,"pubmed_id":18237287,"title":"Anatomical ontologies of mosquitoes and ticks, and their web browsers in VectorBase.","year":2008,"url":"http://doi.org/10.1111/j.1365-2583.2008.00781.x","authors":"Topalis P,Tzavlaki C,Vestaki K,Dialynas E,Sonenshine DE,Butler R,Bruggner RV,Stinson EO,Collins FH,Louis C","journal":"Insect Mol Biol","doi":"10.1111/j.1365-2583.2008.00781.x","created_at":"2021-09-30T08:26:46.202Z","updated_at":"2021-09-30T08:26:46.202Z"}],"licence_links":[],"grants":[{"id":4903,"fairsharing_record_id":15,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:07.005Z","updated_at":"2021-09-30T09:27:07.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"16","type":"fairsharing_records","attributes":{"created_at":"2016-02-03T11:35:53.000Z","updated_at":"2023-09-06T14:15:20.038Z","metadata":{"doi":"10.25504/FAIRsharing.6qrmz2","name":"Pharmacometrics Markup Language","status":"deprecated","contacts":[{"contact_name":"Maciej J Swat","contact_email":"maciej.swat@gmail.com","contact_orcid":"0000-0003-1721-9036"}],"homepage":"http://www.pharmml.org","citations":[],"identifier":16,"description":"PharmML is an exchange format for non-linear mixed effect models used in pharmacometrics and provides means to encode models, trial designs, and modelling steps. This standard allows for a smooth exchange of models between different software tools used in population pharmacokinetics/pharmacodynamics.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","abbreviation":"PharmML","support_links":[{"url":"pharmml.contact@gmail.com","name":"General Contact","type":"Support email"},{"url":"http://www.ddmore.eu/forum","name":"DDMoRe forum","type":"Forum"},{"url":"http://www.pharmml.org/documentation2","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/PharmML","name":"@PharmML","type":"Twitter"}],"year_creation":2011,"associated_tools":[{"url":"http://www.pharmml.org/version-0-1","name":"libPharmML 0.4"},{"url":"http://infix2pharmml.sourceforge.net/","name":"Infix notation to PharmML math online converter 0.7"},{"url":"http://simulx.webpopix.org/","name":"Simulx"},{"url":"http://repository.ddmore.eu/","name":"DDMoRe Model Repository"}],"deprecation_date":"2023-09-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000639","bsg-s000639"],"name":"FAIRsharing record for: Pharmacometrics Markup Language","abbreviation":"PharmML","url":"https://fairsharing.org/10.25504/FAIRsharing.6qrmz2","doi":"10.25504/FAIRsharing.6qrmz2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PharmML is an exchange format for non-linear mixed effect models used in pharmacometrics and provides means to encode models, trial designs, and modelling steps. This standard allows for a smooth exchange of models between different software tools used in population pharmacokinetics/pharmacodynamics.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11176},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11730},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11882},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12067},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12221},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16904}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Biomedical Science"],"domains":["Reaction data","Modeling and simulation"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":925,"pubmed_id":26225259,"title":"Pharmacometrics Markup Language (PharmML): Opening New Perspectives for Model Exchange in Drug Development","year":2015,"url":"http://doi.org/10.1002/psp4.57","authors":"Swat, M. J., Moodie, S., Wimalaratne, S. M. et al.","journal":"CPT: Pharmacometrics \u0026 Systems Pharmacology","doi":"10.1002/psp4.57","created_at":"2021-09-30T08:24:02.130Z","updated_at":"2021-09-30T08:24:02.130Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":247,"relation":"undefined"}],"grants":[{"id":4906,"fairsharing_record_id":16,"organisation_id":786,"relation":"maintains","created_at":"2021-09-30T09:27:07.126Z","updated_at":"2021-09-30T09:27:07.126Z","grant_id":null,"is_lead":false,"saved_state":{"id":786,"name":"Drug Disease Model Resource (DDMoRe), Sandwich, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":4904,"fairsharing_record_id":16,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:27:07.046Z","updated_at":"2021-09-30T09:31:17.733Z","grant_id":1106,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115156","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9251,"fairsharing_record_id":16,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.485Z","updated_at":"2022-04-11T12:07:25.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"17","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:18:18.767Z","metadata":{"doi":"10.25504/FAIRsharing.3mprr8","name":"XML for evolutionary biology and comparative genomics.","status":"ready","contacts":[{"contact_name":"Christian Zmasek","contact_email":"phyloxml@gmail.com","contact_orcid":"0000-0002-7933-2424"}],"homepage":"http://www.phyloxml.org/","citations":[],"identifier":17,"description":"PhyloXML is an XML language designed to describe phylogenetic trees (or networks) and associated data. PhyloXML provides elements for commonly used features, such as taxonomic information, gene names and identifiers, branch lengths, support values, and gene duplication and speciation events.","abbreviation":"phyloXML","support_links":[{"url":"https://groups.google.com/forum/?fromgroups#!forum/phyloxml","type":"Forum"},{"url":"http://www.phyloxml.org/documentation/version_1.20/phyloxml.html","type":"Help documentation"}],"associated_tools":[{"url":"https://github.com/cmzmasek/phyloxml-js","name":"JavaScript support"}]},"legacy_ids":["bsg-000289","bsg-s000289"],"name":"FAIRsharing record for: XML for evolutionary biology and comparative genomics.","abbreviation":"phyloXML","url":"https://fairsharing.org/10.25504/FAIRsharing.3mprr8","doi":"10.25504/FAIRsharing.3mprr8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhyloXML is an XML language designed to describe phylogenetic trees (or networks) and associated data. PhyloXML provides elements for commonly used features, such as taxonomic information, gene names and identifiers, branch lengths, support values, and gene duplication and speciation events.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12505}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Life Science","Comparative Genomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1718,"pubmed_id":19860910,"title":"phyloXML: XML for evolutionary biology and comparative genomics.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-356","authors":"Han MV,Zmasek CM","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-356","created_at":"2021-09-30T08:25:32.479Z","updated_at":"2021-09-30T08:25:32.479Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"70","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:21:48.186Z","metadata":{"doi":"10.25504/FAIRsharing.ve0710","name":"Molecular Interaction Tabular","status":"ready","contacts":[{"contact_name":"Samuel Kerrien","contact_email":"skerrien@ebi.ac.uk","contact_orcid":"0000-0002-3013-0469"}],"homepage":"http://psicquic.github.io/PSIMITAB.html","citations":[],"identifier":70,"description":"The Proteomic Standards Initiative Molecular Interactions (PSI-MI) data interchange format is a common tab-delimited (TAB) molecular interactions format (versions 2.5 - 2.8). Format developments, including the latest version release can be found at the homepage. ","abbreviation":"PSI-MI TAB","support_links":[{"url":"psi-mi@ebi.ac.uk","type":"Support email"},{"url":"http://www.psidev.info/node/60","type":"Help documentation"},{"url":"psidev-mi-dev@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2005,"associated_tools":[{"url":"http://www.psidev.info/index.php?q=node/60#tools","name":"Tools"}]},"legacy_ids":["bsg-000120","bsg-s000120"],"name":"FAIRsharing record for: Molecular Interaction Tabular","abbreviation":"PSI-MI TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.ve0710","doi":"10.25504/FAIRsharing.ve0710","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Proteomic Standards Initiative Molecular Interactions (PSI-MI) data interchange format is a common tab-delimited (TAB) molecular interactions format (versions 2.5 - 2.8). Format developments, including the latest version release can be found at the homepage. ","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11210},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11432}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Japan","United States","European Union"],"publications":[{"id":868,"pubmed_id":17925023,"title":"Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.","year":2007,"url":"http://doi.org/10.1186/1741-7007-5-44","authors":"Kerrien S., Orchard S., Montecchi-Palazzi L. et al.","journal":"BMC Biol.","doi":"10.1186/1741-7007-5-44","created_at":"2021-09-30T08:23:55.889Z","updated_at":"2021-09-30T08:23:55.889Z"}],"licence_links":[],"grants":[{"id":5017,"fairsharing_record_id":70,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:11.393Z","updated_at":"2021-09-30T09:31:05.713Z","grant_id":1013,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902 (RII3)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8130,"fairsharing_record_id":70,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:31:06.872Z","updated_at":"2021-09-30T09:31:06.933Z","grant_id":1023,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"GM070064","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5018,"fairsharing_record_id":70,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:27:11.436Z","updated_at":"2021-09-30T09:27:11.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5020,"fairsharing_record_id":70,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:27:11.527Z","updated_at":"2021-09-30T09:30:47.007Z","grant_id":868,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-FC03-02ER63421","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5019,"fairsharing_record_id":70,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:11.485Z","updated_at":"2021-09-30T09:30:00.537Z","grant_id":510,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"1 R01 GM071909","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"71","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:51:10.415Z","metadata":{"doi":"10.25504/FAIRsharing.pw2hnb","name":"Microbiological Common Language","status":"deprecated","contacts":[{"contact_name":"Bert Verslyppe","contact_email":"Bert.Verslyppe@UGent.be"}],"homepage":"http://www.straininfo.net/projects/mcl","citations":[],"identifier":71,"description":"MCL is a data exchange standard for microbiological information. In short, MCL defines terms which can be used to reference and describe microorganisms. It is designed to form a simple and generic framework leveraging the electronical exchange of information about microorganisms. MCL is loosely coupled from its actual representation technologies and is currently used to structure XML and RDF files.","abbreviation":"MCL","support_links":[{"url":"StrainInfo@UGent.be","type":"Support email"},{"url":"http://www.straininfo.net/projects/mcl/reference","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2022-02-01","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000118","bsg-s000118"],"name":"FAIRsharing record for: Microbiological Common Language","abbreviation":"MCL","url":"https://fairsharing.org/10.25504/FAIRsharing.pw2hnb","doi":"10.25504/FAIRsharing.pw2hnb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MCL is a data exchange standard for microbiological information. In short, MCL defines terms which can be used to reference and describe microorganisms. It is designed to form a simple and generic framework leveraging the electronical exchange of information about microorganisms. MCL is loosely coupled from its actual representation technologies and is currently used to structure XML and RDF files.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11244},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11950}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Microbiology"],"domains":[],"taxonomies":["Algae","Archaea","Bacteria","Fungi","Protozoa"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":973,"pubmed_id":20211251,"title":"Microbiological Common Language (MCL): a standard for electronic information exchange in the Microbial Commons.","year":2010,"url":"http://doi.org/10.1016/j.resmic.2010.02.005","authors":"Verslyppe B,Kottmann R,De Smet W,De Baets B,De Vos P,Dawyndt P","journal":"Res Microbiol","doi":"10.1016/j.resmic.2010.02.005","created_at":"2021-09-30T08:24:07.647Z","updated_at":"2021-09-30T08:24:07.647Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"73","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:21.000Z","updated_at":"2024-03-21T13:58:56.829Z","metadata":{"doi":"10.25504/FAIRsharing.4z037c","name":"LINCS Extended Metadata Standard: Antibody Reagents","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Antibody_Metadata_2017.pdf","citations":[],"identifier":73,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor). Important metadata to be reported include a standardized name and ID of the antibody, identity of the target protein, target organism, information on the immunogen (name, source, modification of the protein/peptide), antibody clonality, antibody isotype, antibody purity, antibody specificity, and whether it was used as a primary or secondary antibody in an assay.","abbreviation":"LINCS 2: Antibody Reagents","support_links":[{"url":"https://lincsproject.org/LINCS/files/Antibody_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000657","bsg-s000657"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Antibody Reagents","abbreviation":"LINCS 2: Antibody Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.4z037c","doi":"10.25504/FAIRsharing.4z037c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor). Important metadata to be reported include a standardized name and ID of the antibody, identity of the target protein, target organism, information on the immunogen (name, source, modification of the protein/peptide), antibody clonality, antibody isotype, antibody purity, antibody specificity, and whether it was used as a primary or secondary antibody in an assay.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11907},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12498}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunogenetics","Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Catalytic activity","Antibody"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5023,"fairsharing_record_id":73,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:11.635Z","updated_at":"2021-09-30T09:27:11.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11559,"fairsharing_record_id":73,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:56.293Z","updated_at":"2024-03-21T13:58:56.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"74","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:18.000Z","updated_at":"2024-03-21T13:58:10.533Z","metadata":{"doi":"10.25504/FAIRsharing.xjx7vy","name":"LINCS Extended Metadata Standard: Proteins","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Protein_Metadata_2017.pdf","citations":[],"identifier":74,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. A standardized description of protein reagents is critical to link results of different LINCS assay types. Protein reagents need to be identified in a manner that enables screening results associated with a specific protein reagent (e.g., KINOMEscan) to be linked with data obtained by other assays in which that protein participates as a (material) component (e.g., in a cell-based assay readout via the L1000 transcript profiling method).","abbreviation":"LINCS 2: Proteins","support_links":[{"url":"https://lincsproject.org/LINCS/files/Protein_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000656","bsg-s000656"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Proteins","abbreviation":"LINCS 2: Proteins","url":"https://fairsharing.org/10.25504/FAIRsharing.xjx7vy","doi":"10.25504/FAIRsharing.xjx7vy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. A standardized description of protein reagents is critical to link results of different LINCS assay types. Protein reagents need to be identified in a manner that enables screening results associated with a specific protein reagent (e.g., KINOMEscan) to be linked with data obtained by other assays in which that protein participates as a (material) component (e.g., in a cell-based assay readout via the L1000 transcript profiling method).","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11903},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12494}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Metaproteomics","Proteomics","Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Proteome","Catalytic activity","Protein-containing complex","Protein Analysis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5025,"fairsharing_record_id":74,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:11.719Z","updated_at":"2021-09-30T09:27:11.719Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11537,"fairsharing_record_id":74,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:10.115Z","updated_at":"2024-03-21T13:58:10.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"50","type":"fairsharing_records","attributes":{"created_at":"2020-09-11T13:33:56.000Z","updated_at":"2024-03-06T11:53:16.206Z","metadata":{"doi":"10.25504/FAIRsharing.d69ee0","name":"ISO 19136-1:2020 Geographic information -- Geography Markup Language -- Part 1: Fundamentals","status":"ready","contacts":[{"contact_name":"OGC General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/gml","identifier":50,"description":"The Geography Markup Language (GML) is an XML grammar for expressing geographical features. GML serves as a modeling language for geographic systems as well as an open interchange format for geographic transactions on the Internet. Generic geographic data sets are described using GML via points, lines and polygons. GML also supports community-specific extensions, allowing users to refer to objects such as roads, highways, and bridges instead of points, lines and polygons. GML is both a Open Geospatial Consortium (OGC) and an ISO (ISO 19136-1:2020) standard, and therefore abbreviations from both sources are included in the record.","abbreviation":"GML","year_creation":2005},"legacy_ids":["bsg-001522","bsg-s001522"],"name":"FAIRsharing record for: ISO 19136-1:2020 Geographic information -- Geography Markup Language -- Part 1: Fundamentals","abbreviation":"GML","url":"https://fairsharing.org/10.25504/FAIRsharing.d69ee0","doi":"10.25504/FAIRsharing.d69ee0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geography Markup Language (GML) is an XML grammar for expressing geographical features. GML serves as a modeling language for geographic systems as well as an open interchange format for geographic transactions on the Internet. Generic geographic data sets are described using GML via points, lines and polygons. GML also supports community-specific extensions, allowing users to refer to objects such as roads, highways, and bridges instead of points, lines and polygons. GML is both a Open Geospatial Consortium (OGC) and an ISO (ISO 19136-1:2020) standard, and therefore abbreviations from both sources are included in the record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2138,"relation":"undefined"},{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2139,"relation":"undefined"}],"grants":[{"id":4977,"fairsharing_record_id":50,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:09.850Z","updated_at":"2021-09-30T09:27:09.850Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":4976,"fairsharing_record_id":50,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:09.809Z","updated_at":"2021-09-30T09:27:09.809Z","grant_id":null,"is_lead":true,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"51","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T15:30:20.000Z","updated_at":"2024-02-12T21:39:51.770Z","metadata":{"doi":"10.25504/FAIRsharing.Yvc76F","name":"International GeoSample Number","status":"deprecated","contacts":[{"contact_name":"IGSN e.V. Management Office","contact_email":"info@igsn.org"}],"homepage":"https://igsn.github.io/","citations":[],"identifier":51,"description":"The IGSN is a globally unique persistent identifier for physical specimens. The IGSN registration service will facilitate the discovery, access, and sharing of samples, ensure preservation and access of sample data, aid identification of samples in the literature, and advance the exchange of digital sample data among interoperable data systems. ","abbreviation":"IGSN (GeoSample)","support_links":[{"url":"https://support.datacite.org/docs/igsn-id-registration-guide","name":"Registering IGSN IDs","type":"Help documentation"},{"url":"https://igsn.github.io/syntax/","name":"Syntax Guidelines","type":"Help documentation"}],"year_creation":2011,"cross_references":[],"deprecation_date":"2022-12-01","deprecation_reason":"The scope for the IGSN identifier has broadened to include all kinds of physical samples. It is now spelled out as \"International Generic Sample Number\".","regular_expression":"^[A-Za-z]{2,4}[A-Za-z0-9.-]{1,71}$"},"legacy_ids":["bsg-001495","bsg-s001495"],"name":"FAIRsharing record for: International GeoSample Number","abbreviation":"IGSN (GeoSample)","url":"https://fairsharing.org/10.25504/FAIRsharing.Yvc76F","doi":"10.25504/FAIRsharing.Yvc76F","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IGSN is a globally unique persistent identifier for physical specimens. The IGSN registration service will facilitate the discovery, access, and sharing of samples, ensure preservation and access of sample data, aid identification of samples in the literature, and advance the exchange of digital sample data among interoperable data systems. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":4978,"fairsharing_record_id":51,"organisation_id":1313,"relation":"maintains","created_at":"2021-09-30T09:27:09.889Z","updated_at":"2023-12-22T20:45:40.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1313,"name":"IGSN e.V.","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"53","type":"fairsharing_records","attributes":{"created_at":"2018-10-22T21:40:20.000Z","updated_at":"2022-07-20T11:51:50.817Z","metadata":{"doi":"10.25504/FAIRsharing.76c96a","name":"OpenAIRE Guidelines for Literature Repositories","status":"ready","contacts":[{"contact_name":"General enquiries","contact_email":"guidelines@openaire.eu"}],"homepage":"https://guidelines.openaire.eu/en/latest/literature/index.html","citations":[],"identifier":53,"description":"OpenAIRE Guidelines for Literature Repository Managers provides orientation for repository managers to define and implement their local data management policies according to the requirements of the OpenAIRE - Open Access Infrastructure for Research in Europe.","abbreviation":null,"support_links":[{"url":"https://github.com/openaire/guidelines-literature-repositories/issues","name":"Issues","type":"Github"},{"url":"https://zenodo.org/record/1299203#.XfjZ6zJKhQI","name":"OpenAIRE Guidelines for institutional and thematic repository managers 4.0","type":"Help documentation"},{"url":"https://zenodo.org/record/1487968#.XfjaEjJKhQI","name":"OpenAIRE Guidelines for Literature Repositories version 3.0","type":"Help documentation"},{"url":"https://zenodo.org/record/59208#.XfjaFDJKhQI","name":"OpenAIRE Guidelines 2.0 : Guidelines for content providers of the OpenAIRE information space","type":"Help documentation"},{"url":"https://zenodo.org/record/59206#.XfjaFjJKhQI","name":"OpenAIRE Guidelines 1.1 : Guidelines for content providers of the OpenAIRE information space","type":"Help documentation"},{"url":"https://zenodo.org/record/59204#.XfjaGDJKhQI","name":"OpenAIRE Guidelines 1.0 : Guidelines for content providers of the OpenAIRE information space","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"https://www.openaire.eu/validator/","name":"OpenAIRE Validator"}]},"legacy_ids":["bsg-001331","bsg-s001331"],"name":"FAIRsharing record for: OpenAIRE Guidelines for Literature Repositories","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.76c96a","doi":"10.25504/FAIRsharing.76c96a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OpenAIRE Guidelines for Literature Repository Managers provides orientation for repository managers to define and implement their local data management policies according to the requirements of the OpenAIRE - Open Access Infrastructure for Research in Europe.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12948},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13348}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata","Publication","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":828,"relation":"undefined"}],"grants":[{"id":4979,"fairsharing_record_id":53,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:09.921Z","updated_at":"2021-09-30T09:27:09.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9472,"fairsharing_record_id":53,"organisation_id":2252,"relation":"maintains","created_at":"2022-04-28T19:10:50.804Z","updated_at":"2022-04-28T19:10:50.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"54","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.173Z","metadata":{"doi":"10.25504/FAIRsharing.5rzy8w","name":"Minimum Information About Sample Preparation for a Phosphoproteomics Experiment","status":"uncertain","contacts":[{"contact_name":"Joaquim Abian","contact_email":"Joaquim.Abian.csic@uab.car","contact_orcid":"0000-0003-2823-5429"}],"homepage":"http://mibbi.sf.net/projects/MIASPPE.shtml","identifier":54,"description":"Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"MIASPPE","support_links":[{"url":"http://www.psidev.info/groups/protein-separation","type":"Help documentation"},{"url":"https://bitbucket.org/lp-csic-uab/","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-000180","bsg-s000180"],"name":"FAIRsharing record for: Minimum Information About Sample Preparation for a Phosphoproteomics Experiment","abbreviation":"MIASPPE","url":"https://fairsharing.org/10.25504/FAIRsharing.5rzy8w","doi":"10.25504/FAIRsharing.5rzy8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11434},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11583}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Peptide","Chromatography","Phosphorylation","Assay","Sample preparation for assay","Phosphoprotein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1248,"pubmed_id":19367720,"title":"Phosphorylation analysis of primary human T lymphocytes using sequential IMAC and titanium oxide enrichment.","year":2009,"url":"http://doi.org/10.1021/pr800500r","authors":"Carrascal M,Ovelleiro D,Casas V,Gay M,Abian J","journal":"J Proteome Res","doi":"10.1021/pr800500r","created_at":"2021-09-30T08:24:39.215Z","updated_at":"2021-09-30T08:24:39.215Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":44,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":121,"relation":"undefined"}],"grants":[{"id":4980,"fairsharing_record_id":54,"organisation_id":2379,"relation":"maintains","created_at":"2021-09-30T09:27:09.944Z","updated_at":"2021-09-30T09:27:09.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":2379,"name":"Proteomics Laboratory CSIC/UAB, Barcelona, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"55","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:13.546Z","metadata":{"doi":"10.25504/FAIRsharing.nttge3","name":"Suggested Ontology for PHARMacogenomics","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"Adrien.Coulet@loria.fr","contact_orcid":"0000-0002-1466-062X"}],"homepage":"http://bioportal.bioontology.org/ontologies/SOPHARM","identifier":55,"description":"SO-Pharm is a formal ontology that represent domain knowledge in pharmacogenomics. To achieve this goal, SO-Pharm articulates ontologies from sub domains of phamacogenomics (i.e. genotype, phenotype, drug, trial representations). SO-Pharm enables to support knowledge about pharmacogenomic hypothesis, case study, and investigations in pharmacogenomics.","abbreviation":"SOPHARM","support_links":[{"url":"https://members.loria.fr/ACoulet/","name":"Adrien Coulet's webpage","type":"Help documentation"},{"url":"https://hal.inria.fr/inria-00089824/en/","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SOPHARM","name":"SOPHARM","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/sopharm.html","name":"sopharm","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000099","bsg-s000099"],"name":"FAIRsharing record for: Suggested Ontology for PHARMacogenomics","abbreviation":"SOPHARM","url":"https://fairsharing.org/10.25504/FAIRsharing.nttge3","doi":"10.25504/FAIRsharing.nttge3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SO-Pharm is a formal ontology that represent domain knowledge in pharmacogenomics. To achieve this goal, SO-Pharm articulates ontologies from sub domains of phamacogenomics (i.e. genotype, phenotype, drug, trial representations). SO-Pharm enables to support knowledge about pharmacogenomic hypothesis, case study, and investigations in pharmacogenomics.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11709},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12408}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Pharmacogenomics","Biomedical Science","Preclinical Studies"],"domains":["Drug","Chemical entity","Phenotype","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1814,"pubmed_id":21431576,"title":"Ontology-based knowledge discovery in pharmacogenomics.","year":2011,"url":"http://doi.org/10.1007/978-1-4419-7046-6_36","authors":"Coulet A,Smail-Tabbone M,Napoli A,Devignes MD","journal":"Adv Exp Med Biol","doi":"10.1007/978-1-4419-7046-6_36","created_at":"2021-09-30T08:25:43.597Z","updated_at":"2021-09-30T08:25:43.597Z"}],"licence_links":[],"grants":[{"id":4982,"fairsharing_record_id":55,"organisation_id":2981,"relation":"maintains","created_at":"2021-09-30T09:27:09.994Z","updated_at":"2021-09-30T09:27:09.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4981,"fairsharing_record_id":55,"organisation_id":2594,"relation":"maintains","created_at":"2021-09-30T09:27:09.971Z","updated_at":"2021-09-30T09:27:09.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2594,"name":"SOPHARM administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"67","type":"fairsharing_records","attributes":{"created_at":"2020-01-06T13:47:24.000Z","updated_at":"2022-04-11T12:07:17.206Z","metadata":{"doi":"10.25504/FAIRsharing.jE0WcA","name":"Drug Database for Inborn Errors of Metabolism Ontology","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"http://aber-owl.net/ontology/DDIEM/","identifier":67,"description":"DDIEM Ontology for the Drug Database for Inborn Errors of Metabolism. The DDIEM database is a database of therapeutic strategies and treatments for inborn errors of metabolism. These strategies are classified by mechanism and outcome using the DDIEM Ontology.","abbreviation":"DDIEM Ontology","support_links":[{"url":"robert.hoehndorf@kaust.edu.sa","name":"Robert Hoehndorf","type":"Support email"},{"url":"pns12@cam.ac.uk","name":"Dr Paul Schofield","type":"Support email"},{"url":"https://github.com/bio-ontology-research-group/DDIEM/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/bio-ontology-research-group/DDIEM","name":"GitHub Project","type":"Github"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDIEM","name":"DDIEM","portal":"BioPortal"}]},"legacy_ids":["bsg-001425","bsg-s001425"],"name":"FAIRsharing record for: Drug Database for Inborn Errors of Metabolism Ontology","abbreviation":"DDIEM Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.jE0WcA","doi":"10.25504/FAIRsharing.jE0WcA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DDIEM Ontology for the Drug Database for Inborn Errors of Metabolism. The DDIEM database is a database of therapeutic strategies and treatments for inborn errors of metabolism. These strategies are classified by mechanism and outcome using the DDIEM Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Phenotype","Disease","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Saudi Arabia","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":910,"relation":"undefined"}],"grants":[{"id":5010,"fairsharing_record_id":67,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:27:11.134Z","updated_at":"2021-09-30T09:27:11.134Z","grant_id":null,"is_lead":true,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9142,"fairsharing_record_id":67,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.195Z","updated_at":"2022-04-11T12:07:17.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"68","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-24T09:38:08.114Z","metadata":{"doi":"10.25504/FAIRsharing.wz1w7t","name":"Minimum Information About a Spinal Cord Injury experiment","status":"ready","contacts":[{"contact_name":"Vance Lemmon","contact_email":"vlemmon@me.com","contact_orcid":"0000-0003-3550-7576"}],"homepage":"https://regenbase.org/miasci-online.html","citations":[],"identifier":68,"description":"MIASCI is a reporting standard for metadata regarding preclinical spinal cord injury (SCI) experiments. It is based on other reporting standards such as MIAME: minimal information about a microarray experiment. The project aims to improve the replicability of SCI research findings through this minimum information standard for describing SCI experiments and their results, and an ontology to formally describe SCI concepts and the relationships between them. Please note that the ontology remains available, even though MIASCI Online is non-functional. ","abbreviation":"MIASCI","support_links":[{"url":"https://twitter.com/MIASCI","type":"Twitter"},{"url":"https://regenbase.org/team--contact.html","name":"General Contact Form and Emails","type":"Contact form"},{"url":"https://regenbase.org/faq.html","name":"MIASCI FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2013,"associated_tools":[]},"legacy_ids":["bsg-000541","bsg-s000541"],"name":"FAIRsharing record for: Minimum Information About a Spinal Cord Injury experiment","abbreviation":"MIASCI","url":"https://fairsharing.org/10.25504/FAIRsharing.wz1w7t","doi":"10.25504/FAIRsharing.wz1w7t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIASCI is a reporting standard for metadata regarding preclinical spinal cord injury (SCI) experiments. It is based on other reporting standards such as MIAME: minimal information about a microarray experiment. The project aims to improve the replicability of SCI research findings through this minimum information standard for describing SCI experiments and their results, and an ontology to formally describe SCI concepts and the relationships between them. Please note that the ontology remains available, even though MIASCI Online is non-functional. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Anatomy","Medicine","Neurobiology","Biomedical Science","Translational Medicine"],"domains":["Expression data","Protein identification","Bioimaging","Neuron","Image","Functional association","Assay","Stereo microscope","Morphology","Brain"],"taxonomies":["Homo sapiens","Mammalia","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Australia","Canada","China","Germany","Japan","Switzerland","United Kingdom","United States"],"publications":[{"id":636,"pubmed_id":24870067,"title":"Minimum Information About a Spinal Cord Injury Experiment (MIASCI) - a proposed reporting standard for spinal cord injury experiments.","year":2014,"url":"http://doi.org/10.1089/neu.2014.3400","authors":"Lemmon VP, Ferguson AR, Popovich PG, Xu XM, Snow DM, Igarashi M, Beattie CE, Bixby JL, Abeyruwan SW, Beattie MS, Bethea J, Bradke F, Bresnahan JC, Bunge MB, Callahan A, David S, Dunlop SA, Fawcett J, Fehlings M, Fischer I, Giger RJ, Goshima Y, Grimpe B, Hagg T, Hall ED, Harrison BJ, Harvey AR, He C, He Z, Hirata T, Hoke A, Hulsebosch CE, Hurtado A, Jain A, Kadoya K, Kamiguchi H, Kengaku M, Kocsis JD Ph D, Kwon BK, Lee JK, Liebl DJ PhD, Liu SJ, Lowery LA, Mandrekar-Colucci S, Martin JH, Mason CA, McTigue DM, Mokarram N, Moon LD, Muller HW, Nakamura T, Namba T, Nishibe M, Oinuma I, Oudega M, Pleasure DE, Raisman G, Rasband MN, Reier PJ, Santiago-Medina M, Schwab JM, Schwab ME, Shinmyo Y, Silver J, Smith GM, So KF, Sofroniew MV Md PhD, Strittmatter SM, Tuszynski MH, Twiss JL, Visser U, Watkins TA, Wu W, Yoon SO, Yuzaki M, Zheng B, Zhou F, Zou Y.","journal":"Journal of Neurotrauma","doi":"10.1089/neu.2014.3400","created_at":"2021-09-30T08:23:30.019Z","updated_at":"2021-09-30T08:23:30.019Z"},{"id":848,"pubmed_id":27055827,"title":"RegenBase: a knowledge base of spinal cord injury biology for translational research.","year":2016,"url":"http://doi.org/10.1093/database/baw040","authors":"Callahan A, Abeyruwan SW, Al-Ali H, Sakurai K, Ferguson AR, Popovich PG, Shah NH, Visser U, Bixby JL, Lemmon VP.","journal":"Database (Oxford)","doi":"10.1093/database/baw040","created_at":"2021-09-30T08:23:53.545Z","updated_at":"2021-09-30T08:23:53.545Z"}],"licence_links":[{"licence_name":"RegenBase Terms","licence_id":1074,"licence_url":"https://regenbase.org/terms-of-use.html","link_id":3341,"relation":"applies_to_content"}],"grants":[{"id":5012,"fairsharing_record_id":68,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:11.227Z","updated_at":"2021-09-30T09:27:11.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10466,"fairsharing_record_id":68,"organisation_id":2035,"relation":"funds","created_at":"2023-03-28T13:40:25.840Z","updated_at":"2023-03-28T13:40:25.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10878,"fairsharing_record_id":68,"organisation_id":818,"relation":"maintains","created_at":"2023-09-21T13:33:08.142Z","updated_at":"2023-09-21T13:37:16.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":818,"name":"University of Miami","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5014,"fairsharing_record_id":68,"organisation_id":1825,"relation":"funds","created_at":"2021-09-30T09:27:11.295Z","updated_at":"2021-09-30T09:27:11.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5013,"fairsharing_record_id":68,"organisation_id":1825,"relation":"maintains","created_at":"2021-09-30T09:27:11.264Z","updated_at":"2023-09-21T13:37:16.746Z","grant_id":null,"is_lead":true,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":11080,"fairsharing_record_id":68,"organisation_id":3790,"relation":"maintains","created_at":"2023-11-08T13:09:54.773Z","updated_at":"2023-11-08T13:09:54.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":3790,"name":"University of Miami Institute for Data Science and Computing","types":["Research institute","University"],"is_lead":false,"relation":"maintains"}},{"id":9315,"fairsharing_record_id":68,"organisation_id":2023,"relation":"funds","created_at":"2022-04-11T12:07:29.842Z","updated_at":"2022-04-11T12:07:29.859Z","grant_id":1359,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","grant":"1R01 NS080145","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdkFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--885dbc87b44bc15f79a084e9d73e6a54367489fc/1424801361.png?disposition=inline","exhaustive_licences":true}},{"id":"69","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T15:27:12.894Z","metadata":{"doi":"10.25504/FAIRsharing.2hh7g7","name":"Genomic Contextual Data Markup Language","status":"ready","contacts":[{"contact_name":"Renzo Kottmann","contact_email":"rkottman@mpi-bremen.de"}],"homepage":"https://www.liebertpub.com/doi/10.1089/omi.2008.0A10","citations":[],"identifier":69,"description":"The Genomic Contextual Data Markup Language (GCDML) is a core project of the Genomic Standards Consortium (GSC) that is a reference implementation the Minimum Information about a Genome Sequence (MIGS/MIMS/MIMARKS), and the extensions the Minimum Information about a Metagenome Sequence (MIMS) and Minimum Information about a MARKer gene Sequence (MIMARKS).","abbreviation":"GCDML","support_links":[{"url":"https://www.gensc.org/pages/standards-intro.html","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000079","bsg-s000079"],"name":"FAIRsharing record for: Genomic Contextual Data Markup Language","abbreviation":"GCDML","url":"https://fairsharing.org/10.25504/FAIRsharing.2hh7g7","doi":"10.25504/FAIRsharing.2hh7g7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic Contextual Data Markup Language (GCDML) is a core project of the Genomic Standards Consortium (GSC) that is a reference implementation the Minimum Information about a Genome Sequence (MIGS/MIMS/MIMARKS), and the extensions the Minimum Information about a Metagenome Sequence (MIMS) and Minimum Information about a MARKer gene Sequence (MIMARKS).","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11853},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12403}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Metagenome","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":999,"pubmed_id":18479204,"title":"A standard MIGS/MIMS compliant XML Schema: toward the development of the Genomic Contextual Data Markup Language (GCDML).","year":2008,"url":"http://doi.org/10.1089/omi.2008.0A10","authors":"Kottmann R,Gray T,Murphy S,Kagan L,Kravitz S,Lombardot T,Field D,Glockner FO","journal":"OMICS","doi":"10.1089/omi.2008.0A10","created_at":"2021-09-30T08:24:10.580Z","updated_at":"2021-09-30T08:24:10.580Z"}],"licence_links":[],"grants":[{"id":5016,"fairsharing_record_id":69,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:11.351Z","updated_at":"2021-09-30T09:27:11.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"56","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T18:06:47.690Z","metadata":{"doi":"10.25504/FAIRsharing.3wbgm0","name":"Mouse PATHology","status":"ready","contacts":[{"contact_name":"Paul Schofield","contact_email":"pns12@cam.ac.uk","contact_orcid":"0000-0002-5111-7263"}],"homepage":"https://github.com/PaulNSchofield/mpath","citations":[],"identifier":56,"description":"Mouse PATHology (MPATH) ontology is a structured controlled vocabulary of mutant and transgenic mouse pathology phenotypes. This resource was developed by the Pathology Consortium of Pathbase (www.pathbase.net).","abbreviation":"MPATH","year_creation":2004,"cross_references":[{"url":"http://www.obofoundry.org/ontology/mpath.html","name":"mpath","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000127","bsg-s000127"],"name":"FAIRsharing record for: Mouse PATHology","abbreviation":"MPATH","url":"https://fairsharing.org/10.25504/FAIRsharing.3wbgm0","doi":"10.25504/FAIRsharing.3wbgm0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mouse PATHology (MPATH) ontology is a structured controlled vocabulary of mutant and transgenic mouse pathology phenotypes. This resource was developed by the Pathology Consortium of Pathbase (www.pathbase.net).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Biomedical Science"],"domains":["Mutation","Histology","Phenotype","Disease","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["Belgium","Germany","Italy","Sweden","United Kingdom","United States"],"publications":[{"id":1675,"pubmed_id":20587689,"title":"Pathbase and the MPATH ontology. Community resources for mouse histopathology.","year":2010,"url":"http://doi.org/10.1177/0300985810374845","authors":"Schofield PN,Gruenberger M,Sundberg JP","journal":"Vet Pathol","doi":"10.1177/0300985810374845","created_at":"2021-09-30T08:25:27.654Z","updated_at":"2021-09-30T08:25:27.654Z"}],"licence_links":[],"grants":[{"id":4987,"fairsharing_record_id":56,"organisation_id":2294,"relation":"maintains","created_at":"2021-09-30T09:27:10.180Z","updated_at":"2021-09-30T09:27:10.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":2294,"name":"Pathbase administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4985,"fairsharing_record_id":56,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:27:10.100Z","updated_at":"2021-09-30T09:32:36.845Z","grant_id":1700,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"QLRI-CT-1999-00320","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4983,"fairsharing_record_id":56,"organisation_id":847,"relation":"funds","created_at":"2021-09-30T09:27:10.028Z","updated_at":"2021-09-30T09:27:10.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":847,"name":"Ellison Medical Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4984,"fairsharing_record_id":56,"organisation_id":2179,"relation":"funds","created_at":"2021-09-30T09:27:10.058Z","updated_at":"2021-09-30T09:27:10.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":2179,"name":"North American Hair Research Society","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":4988,"fairsharing_record_id":56,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:10.217Z","updated_at":"2021-09-30T09:29:02.668Z","grant_id":69,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"CA089713","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8086,"fairsharing_record_id":56,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:51.596Z","updated_at":"2021-09-30T09:30:51.643Z","grant_id":906,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"RR17436","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8126,"fairsharing_record_id":56,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:05.879Z","updated_at":"2021-09-30T09:31:05.923Z","grant_id":1015,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"AR49288","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9141,"fairsharing_record_id":56,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.148Z","updated_at":"2022-04-11T12:07:17.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"57","type":"fairsharing_records","attributes":{"created_at":"2017-10-04T05:29:42.000Z","updated_at":"2022-07-20T10:21:12.349Z","metadata":{"doi":"10.25504/FAIRsharing.sbbbf6","name":"Genome Biology Ontology Language","status":"in_development","contacts":[{"contact_name":"Jasper Koehorst","contact_email":"jasper.koehorst@wur.nl","contact_orcid":"0000-0001-8172-8981"}],"homepage":"http://gbol.life","identifier":57,"description":"To enable interoperability of genome annotations, we have developed the Genome Biology Ontology Language (GBOL) and associated stack (GBOL stack). GBOL is provenance centered and provides a consistent representation of genome derived automated predictions linked to the dataset-wise and element-wise provenance of predicted elements. GBOL is modular in design, extendible and is integrated with existing ontologies. Interoperability of linked data can only be guaranteed through the application of tools that provide the means for a continuous validation of generated linked data. The GBOL stack enforces consistency within and between the OWL and ShEx definitions. Genome wide large scale functional analyses can then easily be achieved using SPARQL queries. Additionally, modules have been developed to serialize the linked data (RDF) and to generate a plain text format files with integrated support for data provenance that that mimic the indentation structure of GenBank and EMBL formats.","abbreviation":"GBOL","support_links":[{"url":"http://gbol.life","name":"GBOL website","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://gitlab.com/Empusa","name":"Empusa"},{"url":"http://gitlab.com/gbol","name":"GBOL"},{"url":"http://gitlab.com/sapp/conversion","name":"SAPP - Conversion"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GBOL","name":"GBOL","portal":"BioPortal"}]},"legacy_ids":["bsg-000721","bsg-s000721"],"name":"FAIRsharing record for: Genome Biology Ontology Language","abbreviation":"GBOL","url":"https://fairsharing.org/10.25504/FAIRsharing.sbbbf6","doi":"10.25504/FAIRsharing.sbbbf6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To enable interoperability of genome annotations, we have developed the Genome Biology Ontology Language (GBOL) and associated stack (GBOL stack). GBOL is provenance centered and provides a consistent representation of genome derived automated predictions linked to the dataset-wise and element-wise provenance of predicted elements. GBOL is modular in design, extendible and is integrated with existing ontologies. Interoperability of linked data can only be guaranteed through the application of tools that provide the means for a continuous validation of generated linked data. The GBOL stack enforces consistency within and between the OWL and ShEx definitions. Genome wide large scale functional analyses can then easily be achieved using SPARQL queries. Additionally, modules have been developed to serialize the linked data (RDF) and to generate a plain text format files with integrated support for data provenance that that mimic the indentation structure of GenBank and EMBL formats.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12449}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Life Science"],"domains":["Annotation","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":132,"pubmed_id":null,"title":"Interoperable genome annotation with GBOL, an extendable infrastructure for functional data mining","year":2017,"url":"http://doi.org/10.1101/184747","authors":"Jesse C.J. van Dam, Jasper J. Koehorst , Jon Olav Vik, Peter J. Schaap and Maria Suarez-Diez","journal":"BioRxiv","doi":"10.1101/184747","created_at":"2021-09-30T08:22:34.457Z","updated_at":"2021-09-30T11:28:39.697Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1035,"relation":"undefined"}],"grants":[{"id":4991,"fairsharing_record_id":57,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:10.376Z","updated_at":"2021-09-30T09:29:25.720Z","grant_id":245,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"635536","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4989,"fairsharing_record_id":57,"organisation_id":3215,"relation":"maintains","created_at":"2021-09-30T09:27:10.246Z","updated_at":"2021-09-30T09:27:10.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":3215,"name":"Wageningen University and Research, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7958,"fairsharing_record_id":57,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:04.430Z","updated_at":"2021-09-30T09:30:04.477Z","grant_id":538,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"305340","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8333,"fairsharing_record_id":57,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:32:08.917Z","updated_at":"2021-09-30T09:32:09.018Z","grant_id":1490,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"634940","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9047,"fairsharing_record_id":57,"organisation_id":2192,"relation":"maintains","created_at":"2022-03-28T13:48:39.421Z","updated_at":"2022-03-28T13:48:39.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":2192,"name":"Norwegian University of Life Sciences (NMBU)","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4990,"fairsharing_record_id":57,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:27:10.269Z","updated_at":"2021-09-30T09:30:01.842Z","grant_id":521,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"248792","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"58","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:09:05.893Z","metadata":{"doi":"10.25504/FAIRsharing.gq1xtx","name":"Information Artifact Ontology","status":"ready","contacts":[{"contact_name":"Alan Ruttenberg","contact_email":"alanruttenberg@gmail.com","contact_orcid":"0000-0002-1604-3078"}],"homepage":"https://github.com/information-artifact-ontology/IAO/","identifier":58,"description":"The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch.","abbreviation":"IAO","support_links":[{"url":"http://groups.google.com/group/information-ontology","type":"Mailing list"},{"url":"https://github.com/information-artifact-ontology/IAO/issues","type":"Github"},{"url":"https://github.com/information-artifact-ontology/IAO/wiki/OntologyMetadata","name":"Ontology Metadata","type":"Github"},{"url":"https://github.com/information-artifact-ontology/IAO/wiki/Meeting_notes","name":"Meeting notes","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IAO","name":"IAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/iao.html","name":"iao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000105","bsg-s000105"],"name":"FAIRsharing record for: Information Artifact Ontology","abbreviation":"IAO","url":"https://fairsharing.org/10.25504/FAIRsharing.gq1xtx","doi":"10.25504/FAIRsharing.gq1xtx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11977}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Data Management","Subject Agnostic","Biomedical Science"],"domains":["Drug report","Experimental measurement","Data identity and mapping","Reagent","Assay","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":1189,"pubmed_id":22874154,"title":"An information artifact ontology perspective on data collections and associated representational artifacts.","year":2012,"url":"https://www.ncbi.nlm.nih.gov/pubmed/22874154","authors":"Ceusters W","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-61499-101-4-68","created_at":"2021-09-30T08:24:32.217Z","updated_at":"2021-09-30T08:24:32.217Z"},{"id":1577,"pubmed_id":null,"title":"Aboutness: Towards foundations for the information artifact ontology","year":2015,"url":"https://scholar.google.com/scholar?q=Smith+B+Ceusters+W+Aboutness:+Towards+Foundations+for+the+Information+Artifact+Ontology+International+Conference+on+Biomedical+Ontology+2015+July+27-30+Lisbon,+Portugal2015+47+51+","authors":"W Ceusters, B Smith","journal":"PhilPapers","doi":null,"created_at":"2021-09-30T08:25:16.777Z","updated_at":"2021-09-30T08:25:16.777Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1690,"relation":"undefined"}],"grants":[{"id":4994,"fairsharing_record_id":58,"organisation_id":2013,"relation":"funds","created_at":"2021-09-30T09:27:10.492Z","updated_at":"2021-09-30T09:29:32.095Z","grant_id":288,"is_lead":false,"saved_state":{"id":2013,"name":"National Institute of Dental and Craniofacial Research (NIDCR), Rockville, MD, USA","grant":"1R01DE021917-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"59","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.426Z","metadata":{"doi":"10.25504/FAIRsharing.sc3be1","name":"Separation Markup Language","status":"ready","contacts":[{"contact_name":"Chris Taylor","contact_email":"chris.taylor@ebi.ac.uk"}],"homepage":"http://www.psidev.info/sample-processing","identifier":59,"description":"The HUPO-PSI Protein Separation work group is a collaboration of researchers from academia, industrial partners and software vendors. The group aims to develop reporting requirements that supplement the MIAPE parent document, describing the minimum information that should be reported about gel-based, and non-gel based separation technologies employed for proteins and peptides in proteomics. The group will also develop data formats for capturing MIAPE-compliant data about these technologies and supporting controlled vocabularies.","abbreviation":"PSI SpML","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"http://www.psidev.info/spml-milestone-1-docs","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-000146","bsg-s000146"],"name":"FAIRsharing record for: Separation Markup Language","abbreviation":"PSI SpML","url":"https://fairsharing.org/10.25504/FAIRsharing.sc3be1","doi":"10.25504/FAIRsharing.sc3be1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HUPO-PSI Protein Separation work group is a collaboration of researchers from academia, industrial partners and software vendors. The group aims to develop reporting requirements that supplement the MIAPE parent document, describing the minimum information that should be reported about gel-based, and non-gel based separation technologies employed for proteins and peptides in proteomics. The group will also develop data formats for capturing MIAPE-compliant data about these technologies and supporting controlled vocabularies.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11429}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Material component separation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":4995,"fairsharing_record_id":59,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:10.530Z","updated_at":"2021-09-30T09:27:10.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"62","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-30T10:27:27.369Z","metadata":{"doi":"10.25504/FAIRsharing.zwtww5","name":"The Vaccine Ontology","status":"ready","contacts":[{"contact_name":"Yongqunh He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/vaccineontology/VO","citations":[],"identifier":62,"description":"The Vaccine Ontology (VO) was created as part of an international community-based effort to represent vaccine knowledge and to support automated reasoning. VO describes the detailed classification and definitions of vaccine components and vaccine administration processes. To ensure consistent representation of vaccine knowledge and to support automated reasoning, a community-based effort to develop the Vaccine Ontology (VO) has been initiated. This international collaborative VO development effort has been joined by many institutes and disciplines around the world. The Vaccine Ontology is also being used in a variety of applications by many user groups in academia and industry.","abbreviation":"VO","support_links":[{"url":"http://www.violinet.org/vaccineontology/contact_us.php","name":"VO Contact Form","type":"Contact form"},{"url":"http://www.violinet.org/vaccineontology/faqs.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/vaccineontology/VO/issues","name":"VO GitHub Issue Tracker","type":"Github"},{"url":"http://www.ontobee.org/ontostat/VO","name":"Ontobee Statistics","type":"Help documentation"},{"url":"https://violinet.org/vaccineontology/introduction.php","name":"About The Vaccine Ontology (VO)","type":"Help documentation"},{"url":"https://github.com/vaccineontology","name":" VO Vaccine Ontology on GitHub","type":"Github"},{"url":"https://violinet.org/vaccineontology/news.php","name":"VO News","type":"Blog/News"},{"url":"http://www.violinet.org/publications.php#vopapers","name":"Related Publications","type":"Help documentation"},{"url":"https://violinet.org/vaccineontology/index.php","name":"Introduction Index","type":"Help documentation"},{"url":"https://github.com/vaccineontology/VIO","name":"VIO: Vaccine Investigation Ontology (VO-extended ontology for metadata types)","type":"Other"}],"year_creation":2008,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VO","name":"VO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/vo.html","name":"vo","portal":"OBO Foundry"},{"url":"https://ontobee.org/ontology/VO","name":"Vaccine Ontology","portal":"Other"},{"url":"https://bioregistry.io/registry/vo","name":"Prefix: VO","portal":"Other"}]},"legacy_ids":["bsg-000101","bsg-s000101"],"name":"FAIRsharing record for: The Vaccine Ontology","abbreviation":"VO","url":"https://fairsharing.org/10.25504/FAIRsharing.zwtww5","doi":"10.25504/FAIRsharing.zwtww5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vaccine Ontology (VO) was created as part of an international community-based effort to represent vaccine knowledge and to support automated reasoning. VO describes the detailed classification and definitions of vaccine components and vaccine administration processes. To ensure consistent representation of vaccine knowledge and to support automated reasoning, a community-based effort to develop the Vaccine Ontology (VO) has been initiated. This international collaborative VO development effort has been joined by many institutes and disciplines around the world. The Vaccine Ontology is also being used in a variety of applications by many user groups in academia and industry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pathobiochemistry","Biomedical Science"],"domains":["Biological process","Pathogen","Vaccine","Vaccination"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1038,"pubmed_id":20875156,"title":"Bioinformatics analysis of Brucella vaccines and vaccine targets using VIOLIN.","year":2010,"url":"http://doi.org/10.1186/1745-7580-6-S1-S5","authors":"He Y,Xiang Z","journal":"Immunome Res","doi":"10.1186/1745-7580-6-S1-S5","created_at":"2021-09-30T08:24:14.939Z","updated_at":"2021-09-30T08:24:14.939Z"},{"id":1673,"pubmed_id":23256535,"title":"Ontology representation and analysis of vaccine formulation and administration and their effects on vaccine immune responses.","year":2012,"url":"http://doi.org/10.1186/2041-1480-3-17","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-3-17","created_at":"2021-09-30T08:25:27.436Z","updated_at":"2021-09-30T08:25:27.436Z"},{"id":3716,"pubmed_id":33238868,"title":"Ontology-based Precision Vaccinology for Deep Mechanism Understanding and Precision Vaccine Development","year":2020,"url":"http://dx.doi.org/10.2174/1381612826666201125112131","authors":"Xie, Jiangan; Zi, Wenrui; Li, Zhangyong; He, Yongqun; ","journal":"CPD","doi":"10.2174/1381612826666201125112131","created_at":"2022-11-29T16:07:43.346Z","updated_at":"2022-11-29T16:07:43.346Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":533,"relation":"applies_to_content"}],"grants":[{"id":4999,"fairsharing_record_id":62,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:10.683Z","updated_at":"2021-09-30T09:27:10.683Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5000,"fairsharing_record_id":62,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:10.722Z","updated_at":"2021-09-30T09:30:30.635Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0d3898a5618b34c0bc948bb0d101e906f212f05f/vo_banner.png?disposition=inline","exhaustive_licences":true}},{"id":"63","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T08:54:53.674Z","metadata":{"doi":"10.25504/FAIRsharing.j01xzz","name":"NeuroMorpho.Org species ontology","status":"deprecated","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmu.edu"}],"homepage":"https://bioportal.bioontology.org/ontologies/NMOSP","citations":[],"identifier":63,"description":"The species ontology of NeuroMorpho.Org was updated (OntoSearch v1.3) to map the new species and strains added in NeuroMorpho.Org v6.3 release.","abbreviation":"NMOSP","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NMOSP","name":"NMOSP","portal":"BioPortal"}],"deprecation_date":"2022-07-19","deprecation_reason":"This older version (with only the species dimension) underlying OntoSearch v1.0 has been deprecated."},"legacy_ids":["bsg-001035","bsg-s001035"],"name":"FAIRsharing record for: NeuroMorpho.Org species ontology","abbreviation":"NMOSP","url":"https://fairsharing.org/10.25504/FAIRsharing.j01xzz","doi":"10.25504/FAIRsharing.j01xzz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The species ontology of NeuroMorpho.Org was updated (OntoSearch v1.3) to map the new species and strains added in NeuroMorpho.Org v6.3 release.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Neuroscience","Neuroscience"],"domains":[],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"64","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.502Z","metadata":{"doi":"10.25504/FAIRsharing.64f3va","name":"Phenotype Fragment Ontology","status":"uncertain","contacts":[{"contact_name":"Tudor Groza","contact_email":"tudor.groza@uq.edu.au"}],"homepage":"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572876/","identifier":64,"description":"The Phenotype Fragment Ontology, together with a processing pipeline, enable the automatic decomposition and conceptualization of phenotype descriptions for the human skeletal phenome.","abbreviation":"PFO","year_creation":2012},"legacy_ids":["bsg-002812","bsg-s002812"],"name":"FAIRsharing record for: Phenotype Fragment Ontology","abbreviation":"PFO","url":"https://fairsharing.org/10.25504/FAIRsharing.64f3va","doi":"10.25504/FAIRsharing.64f3va","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Phenotype Fragment Ontology, together with a processing pipeline, enable the automatic decomposition and conceptualization of phenotype descriptions for the human skeletal phenome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":969,"pubmed_id":23440304,"title":"Decomposing phenotype descriptions for the human skeletal phenome.","year":2013,"url":"http://doi.org/10.4137/BII.S10729","authors":"Groza T,Hunter J,Zankl A","journal":"Biomed Inform Insights","doi":"10.4137/BII.S10729","created_at":"2021-09-30T08:24:07.204Z","updated_at":"2021-09-30T08:24:07.204Z"}],"licence_links":[],"grants":[{"id":5002,"fairsharing_record_id":64,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:27:10.801Z","updated_at":"2021-09-30T09:27:10.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5003,"fairsharing_record_id":64,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:27:10.839Z","updated_at":"2021-09-30T09:29:49.449Z","grant_id":421,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"(DECRA)-DE120100508","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8185,"fairsharing_record_id":64,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:31:23.572Z","updated_at":"2021-09-30T09:31:23.628Z","grant_id":1149,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"SKELETOME-LP100100156","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5001,"fairsharing_record_id":64,"organisation_id":2849,"relation":"maintains","created_at":"2021-09-30T09:27:10.759Z","updated_at":"2021-09-30T09:27:10.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":2849,"name":"The University of Queensland, Institute for Molecular Bioscience, Division of Chemistry and Structural Biology, Brisbane, 4072 QLD, Australia.","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"65","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.156Z","metadata":{"doi":"10.25504/FAIRsharing.kqt2h2","name":"RNA Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"BatchelorC@rsc.org","contact_orcid":"0000-0001-5985-7429"}],"homepage":"https://github.com/bgsu-rna/rnao","citations":[{"doi":"10.3233/AO-2011-0082","publication_id":1025}],"identifier":65,"description":"RNAO is a controlled vocabulary pertaining to RNA function and based on RNA sequences, secondary and three-dimensional structures. The central aim of the RNA Ontology Consortium (ROC) is to develop an ontology to capture all aspects of RNA - from primary sequence to alignments, secondary and tertiary structure, and from base pairing and base stacking interactions to sophisticated motifs.","abbreviation":"RNAO","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RNAO","name":"RNAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/rnao.html","name":"rnao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000122","bsg-s000122"],"name":"FAIRsharing record for: RNA Ontology","abbreviation":"RNAO","url":"https://fairsharing.org/10.25504/FAIRsharing.kqt2h2","doi":"10.25504/FAIRsharing.kqt2h2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAO is a controlled vocabulary pertaining to RNA function and based on RNA sequences, secondary and three-dimensional structures. The central aim of the RNA Ontology Consortium (ROC) is to develop an ontology to capture all aspects of RNA - from primary sequence to alignments, secondary and tertiary structure, and from base pairing and base stacking interactions to sophisticated motifs.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11145},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11947}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Life Science"],"domains":["RNA secondary structure","Molecular structure","Ribonucleic acid","Sequence motif"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":934,"pubmed_id":16484377,"title":"The RNA Ontology Consortium: an open invitation to the RNA community.","year":2006,"url":"http://doi.org/10.1261/rna.2343206","authors":"Leontis NB,Altman RB,Berman HM,Brenner SE,Brown JW,Engelke DR,Harvey SC,Holbrook SR,Jossinet F,Lewis SE,Major F,Mathews DH,Richardson JS,Williamson JR,Westhof E","journal":"RNA","doi":"10.1261/rna.2343206","created_at":"2021-09-30T08:24:03.347Z","updated_at":"2021-09-30T08:24:03.347Z"},{"id":1025,"pubmed_id":null,"title":"The RNA Ontology (RNAO): An Ontology for Integrating RNA Sequence and Structure Data","year":2011,"url":"http://doi.org/10.3233/AO-2011-0082","authors":"Hoehndorf, Robert and Batchelor, Colin and Bittner, Thomas and Dumontier, Michel and Eilbeck, Karen and Knight, Rob and Mungall, Chris J. and Richardson, Jane S. and Stombaugh, Jesse and Westhof, Eric and Zirbel, Craig L. and Leontis, Neocles B.","journal":"Applied Ontology","doi":"10.3233/AO-2011-0082","created_at":"2021-09-30T08:24:13.488Z","updated_at":"2021-09-30T08:24:13.488Z"}],"licence_links":[],"grants":[{"id":5005,"fairsharing_record_id":65,"organisation_id":2467,"relation":"maintains","created_at":"2021-09-30T09:27:10.923Z","updated_at":"2021-09-30T09:27:10.923Z","grant_id":null,"is_lead":false,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5004,"fairsharing_record_id":65,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:10.885Z","updated_at":"2021-09-30T09:31:27.618Z","grant_id":1178,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0443508","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"66","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.672Z","metadata":{"doi":"10.25504/FAIRsharing.rn9wzc","name":"Gel electrophoresis Markup Language","status":"ready","contacts":[{"contact_name":"Andy Jones","contact_email":"Andrew.Jones@liverpool.ac.uk"}],"homepage":"http://www.psidev.info/gelml","identifier":66,"description":"GelML is a data exchange format for describing the results of gel electrophoresis experiments. GelML is developed as a HUPO-PSI working group.","abbreviation":"PSI GelML","support_links":[{"url":"http://code.google.com/p/gelml/","name":"Google Code GelML Project","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-000087","bsg-s000087"],"name":"FAIRsharing record for: Gel electrophoresis Markup Language","abbreviation":"PSI GelML","url":"https://fairsharing.org/10.25504/FAIRsharing.rn9wzc","doi":"10.25504/FAIRsharing.rn9wzc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GelML is a data exchange format for describing the results of gel electrophoresis experiments. GelML is developed as a HUPO-PSI working group.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11177},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11446},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12069}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Report","Assay","Extract","Material component separation","Electrophoresis","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":1312,"pubmed_id":20677327,"title":"The gel electrophoresis markup language (GelML) from the Proteomics Standards Initiative.","year":2010,"url":"http://doi.org/10.1002/pmic.201000120","authors":"Gibson F,Hoogland C,Martinez-Bartolome S,Medina-Aunon JA,Albar JP,Babnigg G,Wipat A,Hermjakob H,Almeida JS,Stanislaus R,Paton NW,Jones AR","journal":"Proteomics","doi":"10.1002/pmic.201000120","created_at":"2021-09-30T08:24:46.484Z","updated_at":"2021-09-30T08:24:46.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2354,"relation":"undefined"},{"licence_name":"Mozilla Public License","licence_id":525,"licence_url":"https://www.mozilla.org/en-US/MPL/","link_id":2353,"relation":"undefined"}],"grants":[{"id":5007,"fairsharing_record_id":66,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:11.015Z","updated_at":"2021-09-30T09:27:11.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5006,"fairsharing_record_id":66,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:10.977Z","updated_at":"2021-09-30T09:31:33.926Z","grant_id":1227,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G010781/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5008,"fairsharing_record_id":66,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:11.052Z","updated_at":"2021-09-30T09:32:21.237Z","grant_id":1581,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1UL1RR024148","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"46","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T16:15:13.000Z","updated_at":"2023-03-22T15:44:06.242Z","metadata":{"doi":"10.25504/FAIRsharing.OsiqlF","name":"IUPAC Compendium of Chemical Terminology","status":"ready","contacts":[{"contact_name":"Stuart Chalk","contact_email":"schalk@unf.edu","contact_orcid":"0000-0002-0703-7776"},{"contact_name":"General Contact","contact_email":"goldbook@iupac.org","contact_orcid":null}],"homepage":"https://goldbook.iupac.org/","citations":[],"identifier":46,"description":"The IUPAC Gold Book is a database of ~7000 chemical concepts derived from IUPAC's Recommendations published in Pure and Applied Chemistry.","abbreviation":"IUPAC Gold Book","support_links":[{"url":"https://goldbook.iupac.org/pages/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://goldbook.iupac.org/pages/about","name":"About","type":"Help documentation"}],"year_creation":1996},"legacy_ids":["bsg-001496","bsg-s001496"],"name":"FAIRsharing record for: IUPAC Compendium of Chemical Terminology","abbreviation":"IUPAC Gold Book","url":"https://fairsharing.org/10.25504/FAIRsharing.OsiqlF","doi":"10.25504/FAIRsharing.OsiqlF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IUPAC Gold Book is a database of ~7000 chemical concepts derived from IUPAC's Recommendations published in Pure and Applied Chemistry.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11742},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17991}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Synthetic Chemistry","Organic Chemistry","Biochemistry","Polymer Chemistry","Synthesis Chemistry","Chemistry","Molecular Physical Chemistry","Theoretical Chemistry","Solid-State Chemistry","Physical Chemistry","Clinical Chemistry","Analytical Chemistry","Food Chemistry","Computational Chemistry","Medicinal Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1161,"relation":"undefined"}],"grants":[{"id":4971,"fairsharing_record_id":46,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:27:09.630Z","updated_at":"2021-09-30T09:27:09.630Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"47","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T15:08:41.000Z","updated_at":"2023-03-30T09:04:22.702Z","metadata":{"doi":"10.25504/FAIRsharing.9091d9","name":"GEneral Multilingual Environmental Thesaurus","status":"ready","contacts":[{"contact_name":"Eionet Helpdesk","contact_email":"helpdesk@eionet.europa.eu"}],"homepage":"https://www.eionet.europa.eu/gemet/en/themes/","citations":[],"identifier":47,"description":"The GEneral Multilingual Environmental Thesaurus (GEMET) was created as a “general” environmental thesaurus, aimed to define a common general language with a core of general terminology for the environment. It is the reference vocabulary of the European Environment Agency (EEA) and its Network (Eionet).","abbreviation":"GEMET","support_links":[{"url":"https://www.eionet.europa.eu/gemet/en/about/","name":"About","type":"Help documentation"},{"url":"https://www.eionet.europa.eu/gemet/en/definition-sources/","name":"Definition Sources","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-001444","bsg-s001444"],"name":"FAIRsharing record for: GEneral Multilingual Environmental Thesaurus","abbreviation":"GEMET","url":"https://fairsharing.org/10.25504/FAIRsharing.9091d9","doi":"10.25504/FAIRsharing.9091d9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GEneral Multilingual Environmental Thesaurus (GEMET) was created as a “general” environmental thesaurus, aimed to define a common general language with a core of general terminology for the environment. It is the reference vocabulary of the European Environment Agency (EEA) and its Network (Eionet).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Ecology","Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 2.5 Denmark (CC BY 2.5 DK)","licence_id":160,"licence_url":"https://creativecommons.org/licenses/by/2.5/dk/deed.en","link_id":1750,"relation":"undefined"}],"grants":[{"id":4972,"fairsharing_record_id":47,"organisation_id":927,"relation":"funds","created_at":"2021-09-30T09:27:09.663Z","updated_at":"2021-09-30T09:27:09.663Z","grant_id":null,"is_lead":false,"saved_state":{"id":927,"name":"European Environment Agency (EEA)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4973,"fairsharing_record_id":47,"organisation_id":928,"relation":"maintains","created_at":"2021-09-30T09:27:09.696Z","updated_at":"2021-09-30T09:27:09.696Z","grant_id":null,"is_lead":true,"saved_state":{"id":928,"name":"European Environment Information and Observation Network (Eionet)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"48","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.226Z","metadata":{"doi":"10.25504/FAIRsharing.efv7gw","name":"HOMology","status":"ready","contacts":[{"contact_name":"Julien Roux","contact_email":"julien.roux@unil.ch","contact_orcid":"0000-0002-4192-5099"}],"homepage":"http://bioportal.bioontology.org/ontologies/HOM/?p=summary","identifier":48,"description":"This ontology represents concepts related to homology, as well as other concepts used to describe similarity and non-homology.","abbreviation":"HOM","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HOM","name":"HOM","portal":"BioPortal"}]},"legacy_ids":["bsg-000102","bsg-s000102"],"name":"FAIRsharing record for: HOMology","abbreviation":"HOM","url":"https://fairsharing.org/10.25504/FAIRsharing.efv7gw","doi":"10.25504/FAIRsharing.efv7gw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology represents concepts related to homology, as well as other concepts used to describe similarity and non-homology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Molecular entity","Homologous","Life cycle stage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":12,"pubmed_id":20116127,"title":"An ontology to clarify homology-related concepts.","year":2010,"url":"http://doi.org/10.1016/j.tig.2009.12.012","authors":"Roux J, Robinson-Rechavi M.","journal":"Trends Genet.","doi":"10.1016/j.tig.2009.12.012","created_at":"2021-09-30T08:22:21.797Z","updated_at":"2021-09-30T08:22:21.797Z"}],"licence_links":[],"grants":[{"id":4974,"fairsharing_record_id":48,"organisation_id":1257,"relation":"maintains","created_at":"2021-09-30T09:27:09.729Z","updated_at":"2021-09-30T09:27:09.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":1257,"name":"HOM administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"49","type":"fairsharing_records","attributes":{"created_at":"2017-11-10T13:28:29.000Z","updated_at":"2021-11-24T13:14:13.487Z","metadata":{"doi":"10.25504/FAIRsharing.zbmg97","name":"Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research","status":"ready","contacts":[{"contact_name":"Carl Lachat","contact_email":"carl.lachat@ugent.be","contact_orcid":"0000-0002-1389-8855"}],"homepage":"http://advances.nutrition.org/cgi/pmidlookup?view=long\u0026pmid=28916566","identifier":49,"description":"Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. To ensure interoperability of nutrition data systems, ENPADASI is developing an Ontology for Nutritional Studies (ONS). All descriptors of these study data characteristics will be made part of ONS and implemented as such in the research infrastructure. The descriptors for data quality will be mapped to existing or newly developed ontology terms. Integration of study quality characteristics with the ONS will enable the consideration of study quality during the querying of the nutrition research infrastructure and interoperability with other data systems.","abbreviation":null,"year_creation":2017},"legacy_ids":["bsg-001090","bsg-s001090"],"name":"FAIRsharing record for: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zbmg97","doi":"10.25504/FAIRsharing.zbmg97","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. To ensure interoperability of nutrition data systems, ENPADASI is developing an Ontology for Nutritional Studies (ONS). All descriptors of these study data characteristics will be made part of ONS and implemented as such in the research infrastructure. The descriptors for data quality will be mapped to existing or newly developed ontology terms. Integration of study quality characteristics with the ONS will enable the consideration of study quality during the querying of the nutrition research infrastructure and interoperability with other data systems.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12535}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Nutritional Science","Biomedical Science","Epidemiology"],"domains":["Diet"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","Denmark","Germany","Ireland","Italy","Netherlands","Poland","Spain"],"publications":[{"id":1949,"pubmed_id":28916566,"title":"Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research","year":2017,"url":"http://doi.org/10.3945/an.117.015651","authors":"Chen Yang, Mariona Pinart, Patrick Kolsteren, John Van Camp, Nathalie De Cock, Katharina Nimptsch, Tobias Pischon, Eamon Laird, Giuditta Perozzi, Raffaella Canali, Axelle Hoge,Marta Stelmach-Mardas, Lars Ove Dragsted, Stéphanie Maria Palombi, Irina Dobre, Jildau Bouwman, Peter Clarys, Fabio Minervini, Maria De Angelis, Marco Gobbetti, Jean Tafforeau, Oscar Coltell, Dolores Corella, Hendrik De Ruyck, Janette Walton, Laura Kehoe, Christophe Matthys, Bernard De Baets, Guy De Tré, Antoon Bronselaer, Angela Rivellese, Rosalba Giacco, Rosario Lombardo, Sofian De Clercq, Niels Hulstaert, and Carl Lachat","journal":"Advances in nutrition","doi":"https://doi.org/10.3945/an.117.015651.","created_at":"2021-09-30T08:25:59.340Z","updated_at":"2021-09-30T08:25:59.340Z"}],"licence_links":[],"grants":[{"id":4975,"fairsharing_record_id":49,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:27:09.767Z","updated_at":"2021-09-30T09:27:09.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"76","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-03T09:53:58.361Z","metadata":{"doi":"10.25504/FAIRsharing.8vv5fc","name":"Minimum Information About a Proteomics Experiment","status":"ready","contacts":[{"contact_name":"Juan Antonio Vizcaino","contact_email":"webmaster@psidev.info","contact_orcid":"0000-0002-3905-4335"}],"homepage":"http://www.psidev.info/miape","citations":[{"doi":"10.1038/nbt1329","pubmed_id":17687369,"publication_id":769}],"identifier":76,"description":"MIAPE attempts to define the minimum set of information about whole proteomics experiments that would be required by a public repository.","abbreviation":"MIAPE","support_links":[{"url":"Psidev-pi-dev@lists.sourceforge.net","name":"PSI mailing list","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIAPE.shtml","name":"Original MIBBI entry","type":"Help documentation"},{"url":"http://www.psidev.info/miape-docs","name":"MIAPE Documents","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000184","bsg-s000184"],"name":"FAIRsharing record for: Minimum Information About a Proteomics Experiment","abbreviation":"MIAPE","url":"https://fairsharing.org/10.25504/FAIRsharing.8vv5fc","doi":"10.25504/FAIRsharing.8vv5fc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAPE attempts to define the minimum set of information about whole proteomics experiments that would be required by a public repository.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11163},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11437},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11594},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12002}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Experimental measurement","Pathogen","Assay","Protocol","Study design","Protein","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Australia","Austria","Belgium","France","Germany","Ireland","Japan","Netherlands","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":769,"pubmed_id":17687369,"title":"The minimum information about a proteomics experiment (MIAPE).","year":2007,"url":"http://doi.org/10.1038/nbt1329","authors":"Taylor CF,Paton NW,Lilley KS et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt1329","created_at":"2021-09-30T08:23:44.753Z","updated_at":"2021-09-30T08:23:44.753Z"}],"licence_links":[],"grants":[{"id":5028,"fairsharing_record_id":76,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:11.832Z","updated_at":"2021-09-30T09:27:11.832Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5029,"fairsharing_record_id":76,"organisation_id":2380,"relation":"funds","created_at":"2021-09-30T09:27:11.865Z","updated_at":"2021-09-30T09:27:11.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ0lEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f99c1ac64eec32813bad87f6fee29d62456d1020/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"77","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T11:48:08.960Z","metadata":{"doi":"10.25504/FAIRsharing.4877h0","name":"Orthology Ontology","status":"ready","contacts":[{"contact_name":"Hirokazu Chiba","contact_email":"chiba@nibb.ac.jp"}],"homepage":"https://github.com/qfo/OrthologyOntology","citations":[],"identifier":77,"description":"ORTH ontology is designed to describe sequence homology data such as gene region, gene and protein-centric orthology, paralogy, and xenology information. Depending on the database, the homology information is structured in different ways. ORTH ontology accommodates these disparate data structures in a single terminology.","abbreviation":"ORTH","support_links":[{"url":"jfernand@um.es","name":"Jesualdo Toms Fernndez-Breis","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ORTH","name":"ORTH","portal":"BioPortal"}]},"legacy_ids":["bsg-001010","bsg-s001010"],"name":"FAIRsharing record for: Orthology Ontology","abbreviation":"ORTH","url":"https://fairsharing.org/10.25504/FAIRsharing.4877h0","doi":"10.25504/FAIRsharing.4877h0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ORTH ontology is designed to describe sequence homology data such as gene region, gene and protein-centric orthology, paralogy, and xenology information. Depending on the database, the homology information is structured in different ways. ORTH ontology accommodates these disparate data structures in a single terminology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Comparative Genomics"],"domains":["Protein","Sequence","Gene","Homologous","Orthologous","Paralogous"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3157,"pubmed_id":null,"title":"The Orthology Ontology: development and applications","year":2016,"url":"http://dx.doi.org/10.1186/s13326-016-0077-x","authors":"Fernández-Breis, Jesualdo Tomás; Chiba, Hirokazu; Legaz-García, María del Carmen; Uchiyama, Ikuo; ","journal":"J Biomed Semant","doi":"10.1186/s13326-016-0077-x","created_at":"2021-12-13T20:45:09.857Z","updated_at":"2021-12-13T20:45:09.857Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2535,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"60","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-11T12:16:34.846Z","metadata":{"doi":"10.25504/FAIRsharing.s3swh2","name":"Minimum Information about an fMRI Study","status":"ready","contacts":[{"contact_name":"Thomas Nichols","contact_email":"t.e.nichols@warwick.ac.uk","contact_orcid":"0000-0002-4516-5103"}],"homepage":"http://www.humanbrainmapping.org/COBIDASreport","citations":[{"doi":"10.1038/nn.4500","pubmed_id":28230846,"publication_id":950}],"identifier":60,"description":"The purpose of the Minimum Information about an fMRI Study guidelines is to elaborate the principles of open and reproducible research for neuroimaging using Magnetic Resonance Imaging (MRI), and then distil these principles to specific research practices. They were created to serve as a benchmark and to raise the standards of practice and reporting in neuroimaging using MRI. These reporting guidelines were developed by the Committee on Best Practices in Data Analysis and Sharing (COBIDAS) of the Organization for Human Brain Mapping.","abbreviation":"MIfMRI","support_links":[{"url":"https://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3728","name":"COBIDAS Committee Information Page","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000086","bsg-s000086"],"name":"FAIRsharing record for: Minimum Information about an fMRI Study","abbreviation":"MIfMRI","url":"https://fairsharing.org/10.25504/FAIRsharing.s3swh2","doi":"10.25504/FAIRsharing.s3swh2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of the Minimum Information about an fMRI Study guidelines is to elaborate the principles of open and reproducible research for neuroimaging using Magnetic Resonance Imaging (MRI), and then distil these principles to specific research practices. They were created to serve as a benchmark and to raise the standards of practice and reporting in neuroimaging using MRI. These reporting guidelines were developed by the Committee on Best Practices in Data Analysis and Sharing (COBIDAS) of the Organization for Human Brain Mapping.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11936}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Neuroscience"],"domains":["Annotation","Bioimaging","Medical imaging","Neuron","Magnetic resonance imaging","Biological sample","Assay","Material storage service","Data transformation","Brain","Brain imaging","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":950,"pubmed_id":28230846,"title":"Best practices in data analysis and sharing in neuroimaging using MRI.","year":2017,"url":"http://doi.org/10.1038/nn.4500","authors":"Nichols TE,Das S,Eickhoff SB,Evans AC,Glatard T,Hanke M,Kriegeskorte N,Milham MP,Poldrack RA,Poline JB,Proal E,Thirion B,Van Essen DC,White T,Yeo BT","journal":"Nat Neurosci","doi":"10.1038/nn.4500","created_at":"2021-09-30T08:24:05.130Z","updated_at":"2021-09-30T08:24:05.130Z"},{"id":1021,"pubmed_id":18191585,"title":"Guidelines for reporting an fMRI study.","year":2008,"url":"http://doi.org/S1053-8119(07)01102-0","authors":"Poldrack RA,Fletcher PC,Henson RN,Worsley KJ,Brett M,Nichols TE","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2007.11.048","created_at":"2021-09-30T08:24:13.073Z","updated_at":"2021-09-30T08:24:13.073Z"},{"id":3472,"pubmed_id":null,"title":"Best Practices in Data Analysis and Sharing in Neuroimaging using MRI","year":2016,"url":"http://dx.doi.org/10.1101/054262","authors":"Nichols, Thomas E.; Das, Samir; Eickhoff, Simon B.; Evans, Alan C.; Glatard, Tristan; Hanke, Michael; Kriegeskorte, Nikolaus; Milham, Michael P.; Poldrack, Russell A.; Poline, Jean-Baptiste; Proal, Erika; Thirion, Bertrand; Van Essen, David C.; White, Tonya; Yeo, B. T. Thomas; ","journal":"bioRxiv","doi":"10.1101/054262","created_at":"2022-07-11T12:13:48.945Z","updated_at":"2022-07-11T12:13:48.945Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2727,"relation":"applies_to_content"}],"grants":[{"id":4996,"fairsharing_record_id":60,"organisation_id":2274,"relation":"maintains","created_at":"2021-09-30T09:27:10.562Z","updated_at":"2022-07-11T12:14:08.776Z","grant_id":null,"is_lead":true,"saved_state":{"id":2274,"name":"Organization for Human Brain Mapping","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"61","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:08:48.931Z","metadata":{"doi":"10.25504/FAIRsharing.agvc7y","name":"C. elegans phenotype","status":"ready","contacts":[{"contact_name":"Gary Schindelman","contact_email":"garys@caltech.edu","contact_orcid":"0000-0001-7883-4388"}],"homepage":"https://wormbase.org/tools/ontology_browser#o_browser","identifier":61,"description":"A structured controlled vocabulary of Caenorhabditis elegans phenotypes .","abbreviation":"WB-PHENOTYPE","support_links":[{"url":"https://www.wormbase.org/tools/support?url=/","name":"Wormbase support","type":"Contact form"},{"url":"https://github.com/obophenotype/c-elegans-phenotype-ontology","name":"Github","type":"Github"}],"year_creation":2007,"cross_references":[{"url":"http://www.obofoundry.org/ontology/wbphenotype.html","name":"wbphenotype","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000130","bsg-s000130"],"name":"FAIRsharing record for: C. elegans phenotype","abbreviation":"WB-PHENOTYPE","url":"https://fairsharing.org/10.25504/FAIRsharing.agvc7y","doi":"10.25504/FAIRsharing.agvc7y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of Caenorhabditis elegans phenotypes .","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Phenotype"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1665,"pubmed_id":21261995,"title":"Worm Phenotype Ontology: integrating phenotype data within and beyond the C. elegans community.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-32","authors":"Schindelman G,Fernandes JS,Bastiani CA,Yook K,Sternberg PW","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-32","created_at":"2021-09-30T08:25:26.471Z","updated_at":"2021-09-30T08:25:26.471Z"}],"licence_links":[],"grants":[{"id":4998,"fairsharing_record_id":61,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:27:10.643Z","updated_at":"2021-09-30T09:27:10.643Z","grant_id":null,"is_lead":false,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9063,"fairsharing_record_id":61,"organisation_id":3174,"relation":"funds","created_at":"2022-03-29T17:23:01.976Z","updated_at":"2022-03-29T17:23:01.976Z","grant_id":652,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"P41HG0223","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"75","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-16T09:25:37.132Z","metadata":{"doi":"10.25504/FAIRsharing.kg1x4z","name":"Mammalian Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Susan M. Bello","contact_email":"susan.bello@jax.org","contact_orcid":"0000-0003-4606-0597"}],"homepage":"https://www.informatics.jax.org/vocab/mp_ontology/","citations":[],"identifier":75,"description":"The observable morphological, physiological, behavioral and other characteristics of mammalian organisms that are manifested through development and lifespan.","abbreviation":"MP","support_links":[{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","name":"User Support Contact Form","type":"Contact form"},{"url":"pheno@jax.org","name":"Support Email","type":"Support email"},{"url":"https://github.com/obophenotype/mammalian-phenotype-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://www.informatics.jax.org/phenotypes.shtml","name":"About Phenotypes and Mutant Alleles","type":"Help documentation"},{"url":"https://github.com/obophenotype/mammalian-phenotype-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2004,"associated_tools":[{"url":"http://www.informatics.jax.org/downloads/reports/index.html#pheno","name":"Mammalian Phenotype Ontology-Download Latest Version"},{"url":"https://github.com/mgijax/mammalian-phenotype-ontology","name":"Mammalian Phenotype Ontology GitHub page"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MP","name":"MP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mp.html","name":"MP","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000129","bsg-s000129"],"name":"FAIRsharing record for: Mammalian Phenotype Ontology","abbreviation":"MP","url":"https://fairsharing.org/10.25504/FAIRsharing.kg1x4z","doi":"10.25504/FAIRsharing.kg1x4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The observable morphological, physiological, behavioral and other characteristics of mammalian organisms that are manifested through development and lifespan.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10872},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11961}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science","Physiology"],"domains":["Behavior","Phenotype"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1677,"pubmed_id":15642099,"title":"The Mammalian Phenotype Ontology as a tool for annotating, analyzing and comparing phenotypic information.","year":2005,"url":"http://doi.org/10.1186/gb-2004-6-1-r7","authors":"Smith CL,Goldsmith CA,Eppig JT","journal":"Genome Biol","doi":"10.1186/gb-2004-6-1-r7","created_at":"2021-09-30T08:25:27.869Z","updated_at":"2021-09-30T08:25:27.869Z"},{"id":1834,"pubmed_id":20052305,"title":"The mammalian phenotype ontology: enabling robust annotation and comparative analysis.","year":2010,"url":"http://doi.org/10.1002/wsbm.44","authors":"Smith CL,Eppig JT","journal":"Wiley Interdiscip Rev Syst Biol Med","doi":"10.1002/wsbm.44","created_at":"2021-09-30T08:25:45.962Z","updated_at":"2021-09-30T08:25:45.962Z"},{"id":1842,"pubmed_id":22961259,"title":"The Mammalian Phenotype Ontology as a unifying standard for experimental and high-throughput phenotyping data.","year":2012,"url":"http://doi.org/10.1007/s00335-012-9421-3","authors":"Smith CL,Eppig JT","journal":"Mamm Genome","doi":"10.1007/s00335-012-9421-3","created_at":"2021-09-30T08:25:46.874Z","updated_at":"2021-09-30T08:25:46.874Z"},{"id":2662,"pubmed_id":25825651,"title":"Expanding the mammalian phenotype ontology to support automated exchange of high throughput mouse phenotyping data generated by large-scale mouse knockout screens.","year":2015,"url":"http://doi.org/10.1186/s13326-015-0009-1","authors":"Smith CL,Eppig JT","journal":"J Biomed Semantics","doi":"10.1186/s13326-015-0009-1","created_at":"2021-09-30T08:27:26.888Z","updated_at":"2021-09-30T08:27:26.888Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":655,"relation":"undefined"},{"licence_name":"MGI Warranty Disclaimer and Copyright Notice","licence_id":511,"licence_url":"http://www.informatics.jax.org/mgihome/other/copyright.shtml","link_id":654,"relation":"undefined"}],"grants":[{"id":5026,"fairsharing_record_id":75,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:27:11.757Z","updated_at":"2021-09-30T09:27:11.757Z","grant_id":null,"is_lead":true,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5027,"fairsharing_record_id":75,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:11.794Z","updated_at":"2021-09-30T09:32:06.069Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"92","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T09:31:11.071Z","metadata":{"doi":"10.25504/FAIRsharing.zvrep1","name":"Minimum Information about a MARKer gene Sequence","status":"ready","contacts":[{"contact_name":"Pelin Yilmaz","contact_email":"pyilmaz@mpi-bremen.de","contact_orcid":"0000-0003-4724-323X"}],"homepage":"https://www.nature.com/articles/nbt.1823","citations":[],"identifier":92,"description":"MIMARKS is the metadata reporting standard of the Genomic Standards Consortium that covers marker gene sequences from environmental surveys or individual organisms.","abbreviation":"MIxS - MIMARKS","support_links":[{"url":"developers@gensc.org","type":"Support email"},{"url":"http://mibbi.sourceforge.net/projects/MIMARKS.shtml","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000161","bsg-s000161"],"name":"FAIRsharing record for: Minimum Information about a MARKer gene Sequence","abbreviation":"MIxS - MIMARKS","url":"https://fairsharing.org/10.25504/FAIRsharing.zvrep1","doi":"10.25504/FAIRsharing.zvrep1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIMARKS is the metadata reporting standard of the Genomic Standards Consortium that covers marker gene sequences from environmental surveys or individual organisms.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11576},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11855},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11968}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Resource metadata","DNA sequence data","Deoxyribonucleic acid","Ribosomal RNA","Genetic marker"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":["Metadata standardization"],"countries":["Germany"],"publications":[{"id":236,"pubmed_id":21552244,"title":"Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications","year":2011,"url":"http://doi.org/10.1038/nbt.1823","authors":"Yilmaz P, Kottmann R, Field D, Knight R, Cole JR et al.","journal":"Nature Biotechnology","doi":"10.1038/nbt.1823","created_at":"2021-09-30T08:22:45.482Z","updated_at":"2021-09-30T08:22:45.482Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3322,"relation":"applies_to_content"}],"grants":[{"id":5065,"fairsharing_record_id":92,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:13.366Z","updated_at":"2021-09-30T09:27:13.366Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5068,"fairsharing_record_id":92,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:27:13.474Z","updated_at":"2021-09-30T09:27:13.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5064,"fairsharing_record_id":92,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:13.333Z","updated_at":"2021-09-30T09:27:13.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5066,"fairsharing_record_id":92,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:13.403Z","updated_at":"2021-09-30T09:27:13.403Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5067,"fairsharing_record_id":92,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:13.442Z","updated_at":"2023-09-06T13:27:13.911Z","grant_id":null,"is_lead":true,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9410,"fairsharing_record_id":92,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.457Z","updated_at":"2022-04-11T12:07:36.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"93","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:28.606Z","metadata":{"doi":"10.25504/FAIRsharing.hfgman","name":".ACE format","status":"ready","contacts":[{"contact_name":"David Gordon","contact_email":"gordon@genome.washington.edu"}],"homepage":"http://en.wikipedia.org/wiki/ACE_%28genomic_file_format%29","identifier":93,"description":"The ACE file format is a specification for storing data about genomic contigs. The original ACE format was developed for use with Consed, a program for viewing, editing, and finishing DNA sequence assemblies. ACE files are generated by various assembly programs, including Phrap, CAP3, Newbler, Arachne, AMOS (sequence assembly) (more specifically Minimo) and Tigr Assembler v2.","abbreviation":".ACE format","support_links":[{"url":"https://web.archive.org/web/20100609072313/http://bcr.musc.edu/manuals/CONSED.txt","type":"Help documentation"}]},"legacy_ids":["bsg-000297","bsg-s000297"],"name":"FAIRsharing record for: .ACE format","abbreviation":".ACE format","url":"https://fairsharing.org/10.25504/FAIRsharing.hfgman","doi":"10.25504/FAIRsharing.hfgman","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ACE file format is a specification for storing data about genomic contigs. The original ACE format was developed for use with Consed, a program for viewing, editing, and finishing DNA sequence assemblies. ACE files are generated by various assembly programs, including Phrap, CAP3, Newbler, Arachne, AMOS (sequence assembly) (more specifically Minimo) and Tigr Assembler v2.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Contig","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"94","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-16T11:20:16.899Z","metadata":{"doi":"10.25504/FAIRsharing.ca48xs","name":"Minimal Information About a Phylogenetic Analysis","status":"ready","contacts":[{"contact_name":"Jim Leebens-Mack","contact_email":"jleebensmack@plantbio.uga.edu"}],"homepage":"http://www.evoio.org/wiki/MIAPA","citations":[{"doi":"10.1089/omi.2006.10.231","pubmed_id":16901231,"publication_id":860}],"identifier":94,"description":"The Minimal Information About a Phylogenetic Analysis (MIAPA) ontology is an application ontology to formalize annotation of phylogenetic data according to the emerging Minimum Information About a Phylogenetic Analysis (MIAPA) metadata reporting standard.","abbreviation":"MIAPA","support_links":[{"url":"http://groups.google.com/group/miapa-discuss","type":"Forum"},{"url":"https://github.com/miapa/miapa/blob/master/checklist/MIAPA-checklist.md","type":"Github"},{"url":"http://mibbi.sourceforge.net/projects/MIAPA.shtml","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/miapa","name":"MIAPA (OLS)","portal":"OLS"},{"url":"https://bioregistry.io/registry/miapa","name":"miapa (Bioregistry)","portal":"Other"},{"url":"https://obofoundry.org/ontology/miapa.html","name":"MIAPA Ontology (OBO)","portal":"OBO Foundry"},{"url":"https://bioportal.bioontology.org/ontologies/MIAPA","name":"MIAPA Ontology (BioPortal)","portal":"BioPortal"}]},"legacy_ids":["bsg-000181","bsg-s000181"],"name":"FAIRsharing record for: Minimal Information About a Phylogenetic Analysis","abbreviation":"MIAPA","url":"https://fairsharing.org/10.25504/FAIRsharing.ca48xs","doi":"10.25504/FAIRsharing.ca48xs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimal Information About a Phylogenetic Analysis (MIAPA) ontology is an application ontology to formalize annotation of phylogenetic data according to the emerging Minimum Information About a Phylogenetic Analysis (MIAPA) metadata reporting standard.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11592},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11999}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Phylogeny","Phylogenetics","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Data transformation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":860,"pubmed_id":16901231,"title":"Taking the first steps towards a standard for reporting on phylogenies: Minimum Information About a Phylogenetic Analysis (MIAPA).","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.231","authors":"Leebens-Mack J,Vision T,Brenner E,Bowers JE,Cannon S,Clement MJ,Cunningham CW,dePamphilis C,deSalle R,Doyle JJ,Eisen JA,Gu X,Harshman J,Jansen RK,Kellogg EA,Koonin EV,Mishler BD,Philippe H,Pires JC,Qiu YL,Rhee SY,Sjolander K,Soltis DE,Soltis PS,Stevenson DW,Wall K,Warnow T,Zmasek C","journal":"OMICS","doi":"10.1089/omi.2006.10.231","created_at":"2021-09-30T08:23:55.013Z","updated_at":"2021-09-30T08:23:55.013Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"95","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:23.861Z","metadata":{"doi":"10.25504/FAIRsharing.pvdrmz","name":"Minimum Information About a Microarray Experiment involving Plants","status":"ready","contacts":[{"contact_name":"Gaurab Mukherjee","contact_email":"gaurab@ebi.ac.uk"}],"homepage":"http://miame-plant.sourceforge.net/","identifier":95,"description":"MIAME/Plant is a standard describing which biological details should be captured for describing microarray experiments involving plants. Detailed information is required about biological aspects such as growth conditions, harvesting time or harvested organ(s).","abbreviation":"MIAME/Plant","year_creation":2006},"legacy_ids":["bsg-000182","bsg-s000182"],"name":"FAIRsharing record for: Minimum Information About a Microarray Experiment involving Plants","abbreviation":"MIAME/Plant","url":"https://fairsharing.org/10.25504/FAIRsharing.pvdrmz","doi":"10.25504/FAIRsharing.pvdrmz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME/Plant is a standard describing which biological details should be captured for describing microarray experiments involving plants. Detailed information is required about biological aspects such as growth conditions, harvesting time or harvested organ(s).","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11586},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11988},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12430}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Transcriptomics"],"domains":["Expression data","Deoxyribonucleic acid","Ribonucleic acid","Nucleic acid hybridization","DNA microarray","Genome"],"taxonomies":["Plantae"],"user_defined_tags":["Cistrome"],"countries":["Switzerland","United Kingdom","United States"],"publications":[{"id":849,"pubmed_id":16401339,"title":"MIAME/Plant - adding value to plant microarrray experiments.","year":2006,"url":"http://doi.org/10.1186/1746-4811-2-1","authors":"Zimmermann P,Schildknecht B,Craigon D,Garcia-Hernandez M,Gruissem W,May S,Mukherjee G,Parkinson H,Rhee S,Wagner U,Hennig L","journal":"Plant Methods","doi":"10.1186/1746-4811-2-1","created_at":"2021-09-30T08:23:53.647Z","updated_at":"2021-09-30T08:23:53.647Z"},{"id":1703,"pubmed_id":16219923,"title":"Plant-based microarray data at the European Bioinformatics Institute. Introducing AtMIAMExpress, a submission tool for Arabidopsis gene expression data to ArrayExpress.","year":2005,"url":"http://doi.org/10.1104/pp.105.063156","authors":"Mukherjee G,Abeygunawardena N,Parkinson H,Contrino S,Durinck S,Farne A,Holloway E,Lilja P,Moreau Y,Oezcimen A,Rayner T,Sharma A,Brazma A,Sarkans U,Shojatalab M","journal":"Plant Physiol","doi":"10.1104/pp.105.063156","created_at":"2021-09-30T08:25:30.847Z","updated_at":"2021-09-30T08:25:30.847Z"}],"licence_links":[],"grants":[{"id":9227,"fairsharing_record_id":95,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.848Z","updated_at":"2022-04-11T12:07:23.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"84","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:50.194Z","metadata":{"doi":"10.25504/FAIRsharing.b7z8by","name":"Digital Imaging and COmmunications in Medicine","status":"ready","contacts":[{"contact_name":"DICOM Help","contact_email":"dicom@medicalimaging.org"}],"homepage":"http://medical.nema.org/","identifier":84,"description":"DICOM — Digital Imaging and Communications in Medicine — is the international standard for medical images and related information (ISO 12052). It defines the formats for medical images that can be exchanged with the data and quality necessary for clinical use. DICOM is implemented in almost every radiology, cardiology imaging, and radiotherapy device (X-ray, CT, MRI, ultrasound, etc.), and increasingly in devices in other medical domains such as ophthalmology and dentistry. With tens of thousands of imaging devices in use, DICOM is one of the most widely deployed healthcare messaging standards in the world. There are literally billions of DICOM images currently in use for clinical care. Since its first publication in 1993, DICOM has revolutionized the practice of radiology, allowing the replacement of X-ray film with a fully digital workflow. Much as the Internet has become the platform for new consumer information applications, DICOM has enabled advanced medical imaging applications that have “changed the face of clinical medicine”. From the emergency department, to cardiac stress testing, to breast cancer detection, DICOM is the standard that makes medical imaging work — for doctors and for patients.","abbreviation":"DICOM","support_links":[{"url":"dicom@medicalimaging.org","type":"Support email"},{"url":"http://dicom.nema.org/dicom/faqs.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://dicom.nema.org/handbook.html","type":"Help documentation"},{"url":"comp.protocols.dicom@googlegroups.com","type":"Mailing list"},{"url":"http://dicom.nema.org/standard.html","type":"Help documentation"},{"url":"http://dicom.nema.org/dicom/geninfo/Brochure.pdf","type":"Help documentation"},{"url":"http://dicom.nema.org/standard.html","type":"Help documentation"}],"year_creation":1993,"associated_tools":[{"url":"http://www.idoimaging.com/","name":"DICOM software"}]},"legacy_ids":["bsg-000114","bsg-s000114"],"name":"FAIRsharing record for: Digital Imaging and COmmunications in Medicine","abbreviation":"DICOM","url":"https://fairsharing.org/10.25504/FAIRsharing.b7z8by","doi":"10.25504/FAIRsharing.b7z8by","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DICOM — Digital Imaging and Communications in Medicine — is the international standard for medical images and related information (ISO 12052). It defines the formats for medical images that can be exchanged with the data and quality necessary for clinical use. DICOM is implemented in almost every radiology, cardiology imaging, and radiotherapy device (X-ray, CT, MRI, ultrasound, etc.), and increasingly in devices in other medical domains such as ophthalmology and dentistry. With tens of thousands of imaging devices in use, DICOM is one of the most widely deployed healthcare messaging standards in the world. There are literally billions of DICOM images currently in use for clinical care. Since its first publication in 1993, DICOM has revolutionized the practice of radiology, allowing the replacement of X-ray film with a fully digital workflow. Much as the Internet has become the platform for new consumer information applications, DICOM has enabled advanced medical imaging applications that have “changed the face of clinical medicine”. From the emergency department, to cardiac stress testing, to breast cancer detection, DICOM is the standard that makes medical imaging work — for doctors and for patients.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17322},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12201},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16901}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Anatomy","Medicine","Biomedical Science"],"domains":["Imaging","Functional magnetic resonance imaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":991,"pubmed_id":23404629,"title":"Multi-series DICOM: an extension of DICOM that stores a whole study in a single object.","year":2013,"url":"http://doi.org/10.1007/s10278-013-9577-8","authors":"Ismail M,Philbin J","journal":"J Digit Imaging","doi":"10.1007/s10278-013-9577-8","created_at":"2021-09-30T08:24:09.691Z","updated_at":"2021-09-30T08:24:09.691Z"},{"id":1400,"pubmed_id":16223609,"title":"DICOM demystified: a review of digital file formats and their use in radiological practice.","year":2005,"url":"http://doi.org/10.1016/j.crad.2005.07.003","authors":"Graham RN,Perriss RW,Scarsbrook AF","journal":"Clin Radiol","doi":"10.1016/j.crad.2005.07.003","created_at":"2021-09-30T08:24:56.551Z","updated_at":"2021-09-30T08:24:56.551Z"}],"licence_links":[],"grants":[{"id":5049,"fairsharing_record_id":84,"organisation_id":2113,"relation":"maintains","created_at":"2021-09-30T09:27:12.757Z","updated_at":"2021-09-30T09:27:12.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":2113,"name":"NEMA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"86","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:31:33.734Z","metadata":{"doi":"10.25504/FAIRsharing.m3wzgs","name":"Fly taxonomy","status":"deprecated","contacts":[{"contact_name":"Helpmail","contact_email":"helpfb@morgan.harvard.edu"}],"homepage":"http://flybase.org/static_pages/allied-data/phylogeny/Drosophilidae-Tree/Drosophilidae.html","identifier":86,"description":"\"Fly taxonomy\" provides taxonomic information about the Fruit fly family (Drosophilidae). This information is a combination of NCBI TAXON data and from the following paper: Grimaldi, D.A.\"A phylogenetic, revised classification of Genera in the Drosophilidae (Diptera)\" Bulletin of the American Museum of Natural History. New York: New York . American Museum of Natural History, 1990.","abbreviation":"FBsp","support_links":[{"url":"http://flybase.org/cgi-bin/mailto-fbhelp.html","type":"Contact form"},{"url":"https://twitter.com/flybasedotorg","type":"Twitter"}],"year_creation":2000,"deprecation_date":"2019-07-22","deprecation_reason":"Deprecated after correspondence with FlyBase revealed this ontology was never adopted as a standard. FlyBase do not believe this standard has ever been in use."},"legacy_ids":["bsg-000152","bsg-s000152"],"name":"FAIRsharing record for: Fly taxonomy","abbreviation":"FBsp","url":"https://fairsharing.org/10.25504/FAIRsharing.m3wzgs","doi":"10.25504/FAIRsharing.m3wzgs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Fly taxonomy\" provides taxonomic information about the Fruit fly family (Drosophilidae). This information is a combination of NCBI TAXON data and from the following paper: Grimaldi, D.A.\"A phylogenetic, revised classification of Genera in the Drosophilidae (Diptera)\" Bulletin of the American Museum of Natural History. New York: New York . American Museum of Natural History, 1990.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Taxonomic classification"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1765,"pubmed_id":26467478,"title":"FlyBase: establishing a Gene Group resource for Drosophila melanogaster.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1046","authors":"Attrill H,Falls K,Goodman JL,Millburn GH,Antonazzo G,Rey AJ,Marygold SJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1046","created_at":"2021-09-30T08:25:38.019Z","updated_at":"2021-09-30T11:29:19.570Z"}],"licence_links":[],"grants":[{"id":5054,"fairsharing_record_id":86,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:12.961Z","updated_at":"2021-09-30T09:27:12.961Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5056,"fairsharing_record_id":86,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:13.045Z","updated_at":"2021-09-30T09:30:37.677Z","grant_id":796,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"U41HG000739","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5055,"fairsharing_record_id":86,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:13.002Z","updated_at":"2021-09-30T09:27:13.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11849,"fairsharing_record_id":86,"organisation_id":713,"relation":"maintains","created_at":"2024-06-26T13:07:02.241Z","updated_at":"2024-06-26T13:07:02.241Z","grant_id":null,"is_lead":false,"saved_state":{"id":713,"name":"Department of Genetics, University of Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"87","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-07-20T11:07:38.245Z","metadata":{"doi":"10.25504/FAIRsharing.zn05ta","name":"Parkinson's Disease Ontology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de","contact_orcid":"0000-0001-8793-2692"}],"homepage":"http://bioportal.bioontology.org/ontologies/PDON","identifier":87,"description":"The Parkinson's Disease Ontology (PDO) was created to represent and model the Parkinson's Disease knowledge domain. This ontology with a covers major biomedical concepts from molecular to clinical features of the disease as well as the different views on disease features held by molecular biologists, clinicians and drug developers. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","abbreviation":"PDON","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDON","name":"PDON","portal":"BioPortal"}]},"legacy_ids":["bsg-000932","bsg-s000932"],"name":"FAIRsharing record for: Parkinson's Disease Ontology","abbreviation":"PDON","url":"https://fairsharing.org/10.25504/FAIRsharing.zn05ta","doi":"10.25504/FAIRsharing.zn05ta","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Parkinson's Disease Ontology (PDO) was created to represent and model the Parkinson's Disease knowledge domain. This ontology with a covers major biomedical concepts from molecular to clinical features of the disease as well as the different views on disease features held by molecular biologists, clinicians and drug developers. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Molecular biology","Biomedical Science","Preclinical Studies"],"domains":["Parkinson's disease","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","Germany","United Kingdom"],"publications":[{"id":2039,"pubmed_id":26395080,"title":"PDON: Parkinson's disease ontology for representation and modeling of the Parkinson's disease knowledge domain.","year":2015,"url":"http://doi.org/10.1186/s12976-015-0017-y","authors":"Younesi E,Malhotra A,Gundel M,Scordis P,Kodamullil AT,Page M,Muller B,Springstubbe S,Wullner U,Scheller D,Hofmann-Apitius M","journal":"Theor Biol Med Model","doi":"10.1186/s12976-015-0017-y","created_at":"2021-09-30T08:26:09.656Z","updated_at":"2021-09-30T08:26:09.656Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1368,"relation":"undefined"}],"grants":[{"id":5057,"fairsharing_record_id":87,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:13.082Z","updated_at":"2021-09-30T09:27:13.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"96","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:28.953Z","metadata":{"doi":"10.25504/FAIRsharing.32b10v","name":"Minimum Information About a Microarray Experiment","status":"ready","contacts":[{"contact_name":"Alvis Brazma","contact_email":"brazma@ebi.ac.uk","contact_orcid":"0000-0001-5988-7409"}],"homepage":"http://www.fged.org/projects/miame/","identifier":96,"description":"MIAME is intended to specify all the information necessary for an unambiguous interpretation of a microarray experiment, and potentially to reproduce it. MIAME defines the content but not the format for this information.","abbreviation":"MIAME","support_links":[{"url":"https://www.facebook.com/FGED.Society","name":"FGED Society Facebook","type":"Facebook"},{"url":"http://www.fged.org/about-us/","name":"Contact Form","type":"Contact form"},{"url":"http://discuss.fged.org/","name":"Forum","type":"Forum"},{"url":"http://announce.fged.org/","name":"Announcements Mailing List","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIAME.shtml","name":"MIBBI (old)","type":"Help documentation"},{"url":"https://www.slideshare.net/FGED/","name":"Slideshare Functional Genomics Data Society","type":"Help documentation"},{"url":"https://www.youtube.com/user/fgedsociety/","name":"fgedsociety Youtube","type":"Video"},{"url":"https://twitter.com/FGED","name":"@FGED","type":"Twitter"}],"year_creation":1999,"associated_tools":[{"url":"https://www.ebi.ac.uk/fg/annotare","name":"Annotare"}]},"legacy_ids":["bsg-000177","bsg-s000177"],"name":"FAIRsharing record for: Minimum Information About a Microarray Experiment","abbreviation":"MIAME","url":"https://fairsharing.org/10.25504/FAIRsharing.32b10v","doi":"10.25504/FAIRsharing.32b10v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME is intended to specify all the information necessary for an unambiguous interpretation of a microarray experiment, and potentially to reproduce it. MIAME defines the content but not the format for this information.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18270},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11000},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11157},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11585},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11985},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12428},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16716}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Transcriptomics"],"domains":["Expression data","Experimental measurement","Deoxyribonucleic acid","Ribonucleic acid","Nucleic acid hybridization","DNA microarray","Study design","Experimentally determined","Genome"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Belgium","France","Germany","Netherlands","United Kingdom","United States"],"publications":[{"id":1311,"pubmed_id":19484163,"title":"Minimum Information About a Microarray Experiment (MIAME)--successes, failures, challenges.","year":2009,"url":"http://doi.org/10.1100/tsw.2009.57","authors":"Brazma A","journal":"ScientificWorldJournal","doi":"10.1100/tsw.2009.57","created_at":"2021-09-30T08:24:46.376Z","updated_at":"2021-09-30T08:24:46.376Z"},{"id":2332,"pubmed_id":11726920,"title":"Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.","year":2001,"url":"http://doi.org/10.1038/ng1201-365","authors":"Brazma A,Hingamp P,Quackenbush J,Sherlock G,Spellman P,Stoeckert C,Aach J,Ansorge W,Ball CA,Causton HC,Gaasterland T,Glenisson P,Holstege FC,Kim IF,Markowitz V,Matese JC,Parkinson H,Robinson A,Sarkans U,Schulze-Kremer S,Stewart J,Taylor R,Vilo J,Vingron M","journal":"Nat Genet","doi":"10.1038/ng1201-365","created_at":"2021-09-30T08:26:46.368Z","updated_at":"2021-09-30T08:26:46.368Z"}],"licence_links":[],"grants":[{"id":5072,"fairsharing_record_id":96,"organisation_id":1070,"relation":"maintains","created_at":"2021-09-30T09:27:13.634Z","updated_at":"2021-09-30T09:27:13.634Z","grant_id":null,"is_lead":true,"saved_state":{"id":1070,"name":"Functional Genomics Data Society (FGED)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5073,"fairsharing_record_id":96,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:13.672Z","updated_at":"2021-09-30T09:27:13.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5074,"fairsharing_record_id":96,"organisation_id":851,"relation":"funds","created_at":"2021-09-30T09:27:13.714Z","updated_at":"2021-09-30T09:27:13.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":851,"name":"EMBL-EBI Industry Programme, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5075,"fairsharing_record_id":96,"organisation_id":829,"relation":"funds","created_at":"2021-09-30T09:27:13.756Z","updated_at":"2021-09-30T09:27:13.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":829,"name":"EGL Charitable Foundation, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5076,"fairsharing_record_id":96,"organisation_id":1324,"relation":"funds","created_at":"2021-09-30T09:27:13.796Z","updated_at":"2021-09-30T09:27:13.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":1324,"name":"Incyte Genomics, Wilmington, DE, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":5077,"fairsharing_record_id":96,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:13.835Z","updated_at":"2021-09-30T09:27:13.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"97","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:14.743Z","metadata":{"doi":"10.25504/FAIRsharing.n7nqde","name":"Minimal Information About T Cell Assays","status":"ready","contacts":[{"contact_name":"Sylvia Janetzki","contact_email":"sylvia@zellnet.com"}],"homepage":"http://miataproject.org/","identifier":97,"description":"MIATA (Minimal Information About T cell Assays) enables an objective and thorough interpretation of published results from T cell assays. Due to the high similarity between T cell assays and NK cell assays the concept has been expanded to include the Minimal Information About NK cell Assays (MIANKA).","abbreviation":"MIATA","support_links":[{"url":"http://miataproject.org/wp-content/uploads/2013/09/MIATA-Guidelines-Download.pdf","type":"Help documentation"},{"url":"http://miataproject.org/wp-content/uploads/2014/02/MIATA-MIANKA-checklist.pdf","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000189","bsg-s000189"],"name":"FAIRsharing record for: Minimal Information About T Cell Assays","abbreviation":"MIATA","url":"https://fairsharing.org/10.25504/FAIRsharing.n7nqde","doi":"10.25504/FAIRsharing.n7nqde","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIATA (Minimal Information About T cell Assays) enables an objective and thorough interpretation of published results from T cell assays. Due to the high similarity between T cell assays and NK cell assays the concept has been expanded to include the Minimal Information About NK cell Assays (MIANKA).","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10875},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11588},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11990}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunology","Biomedical Science"],"domains":["T cell","Immunity","Assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","Netherlands","Switzerland","United Kingdom","United States"],"publications":[{"id":853,"pubmed_id":19833080,"title":"\"MIATA\"-minimal information about T cell assays.","year":2009,"url":"http://doi.org/10.1016/j.immuni.2009.09.007","authors":"Janetzki S,Britten CM,Kalos M,Levitsky HI,Maecker HT,Melief CJ,Old LJ,Romero P,Hoos A,Davis MM","journal":"Immunity","doi":"10.1016/j.immuni.2009.09.007","created_at":"2021-09-30T08:23:54.146Z","updated_at":"2021-09-30T08:23:54.146Z"}],"licence_links":[],"grants":[{"id":5078,"fairsharing_record_id":97,"organisation_id":1844,"relation":"maintains","created_at":"2021-09-30T09:27:13.867Z","updated_at":"2021-09-30T09:27:13.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1844,"name":"Minimal Information About T cell Assays (MIATA) consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"98","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.167Z","metadata":{"doi":"10.25504/FAIRsharing.ckjmt3","name":"Binary sequence information Format","status":"ready","homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format7","identifier":98,"description":"A .2bit file stores multiple DNA sequences (up to 4 Gb total) in a compact randomly-accessible format. The file contains masking information as well as the DNA itself. The DNA sequence is represented as two bits per pixel with associated list of regions containing N's, and masked regions.","abbreviation":"2bit","support_links":[{"url":"http://genome-source.cse.ucsc.edu/gitweb/?p=kent.git;a=blob_plain;f=src/inc/twoBit.h;hb=HEAD","name":"Source Code","type":"Help documentation"}]},"legacy_ids":["bsg-000205","bsg-s000205"],"name":"FAIRsharing record for: Binary sequence information Format","abbreviation":"2bit","url":"https://fairsharing.org/10.25504/FAIRsharing.ckjmt3","doi":"10.25504/FAIRsharing.ckjmt3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A .2bit file stores multiple DNA sequences (up to 4 Gb total) in a compact randomly-accessible format. The file contains masking information as well as the DNA itself. The DNA sequence is represented as two bits per pixel with associated list of regions containing N's, and masked regions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5079,"fairsharing_record_id":98,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:13.891Z","updated_at":"2021-09-30T09:27:13.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"99","type":"fairsharing_records","attributes":{"created_at":"2020-01-28T11:43:49.000Z","updated_at":"2022-07-20T12:46:56.243Z","metadata":{"doi":"10.25504/FAIRsharing.6dba71","name":"GeoNames Ontology","status":"ready","contacts":[{"contact_name":"Marc Wick","contact_email":"marc@geonames.org"}],"homepage":"http://www.geonames.org/ontology/documentation.html","identifier":99,"description":"The GeoNames Ontology makes it possible to add geospatial semantic information to the Word Wide Web. It maps to the DB schema that is used by GeoNames data export.","abbreviation":"GeoNames Ontology","support_links":[{"url":"https://web.archive.org/web/20080212144050/http://www.geospatialsemanticweb.com/2006/10/14/geonames-ontology-in-owl","name":"About GeoNames Ontology (blog post)","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-001440","bsg-s001440"],"name":"FAIRsharing record for: GeoNames Ontology","abbreviation":"GeoNames Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.6dba71","doi":"10.25504/FAIRsharing.6dba71","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GeoNames Ontology makes it possible to add geospatial semantic information to the Word Wide Web. It maps to the DB schema that is used by GeoNames data export.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography","Geoinformatics"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1731,"relation":"undefined"}],"grants":[{"id":5080,"fairsharing_record_id":99,"organisation_id":1124,"relation":"maintains","created_at":"2021-09-30T09:27:13.916Z","updated_at":"2021-09-30T09:27:13.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":1124,"name":"GeoNames Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"100","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T09:28:34.520Z","metadata":{"doi":"10.25504/FAIRsharing.va1hck","name":"Minimum Information about a (Meta)Genome Sequence","status":"ready","contacts":[{"contact_name":"Chris Hunter","contact_email":"only1chunts@gmail.com","contact_orcid":"0000-0002-1335-0881"},{"contact_name":"GSC-compliance and interoperability group","contact_email":"gensc-cig@googlegroups.com","contact_orcid":null}],"homepage":"http://w3id.org/mixs","citations":[],"identifier":100,"description":"MIGS/MIMS (Minimum Information About a (Meta)Genome Sequence) outlines a conceptual structure for extending the core information that has been traditionally captured by the INSDC (DDBJ/EMBL/Genbank) to describe genomic and metagenomic sequences. The MIMS extension describes key aspects of environmental context.","abbreviation":"MIxS - MIGS/MIMS","support_links":[{"url":"http://gensc.org/","type":"Help documentation"},{"url":"https://github.com/genomicsStandardsConsortium/mixs","name":"GSC-MIxS ","type":"Github"},{"url":"https://genomicsstandardsconsortium.github.io/mixs/","name":"GSC-MIxS support docs","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000172","bsg-s000172"],"name":"FAIRsharing record for: Minimum Information about a (Meta)Genome Sequence","abbreviation":"MIxS - MIGS/MIMS","url":"https://fairsharing.org/10.25504/FAIRsharing.va1hck","doi":"10.25504/FAIRsharing.va1hck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIGS/MIMS (Minimum Information About a (Meta)Genome Sequence) outlines a conceptual structure for extending the core information that has been traditionally captured by the INSDC (DDBJ/EMBL/Genbank) to describe genomic and metagenomic sequences. The MIMS extension describes key aspects of environmental context.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11574},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11854},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11966}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Metagenome","Genome"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["United Kingdom","United States","Worldwide","European Union"],"publications":[{"id":844,"pubmed_id":18464787,"title":"The minimum information about a genome sequence (MIGS) specification.","year":2008,"url":"http://doi.org/10.1038/nbt1360","authors":"Field D,Garrity G,Gray T,Morrison N,Selengut J,Sterk P,Tatusova T,Thomson N,Allen MJ,Angiuoli SV,Ashburner M,Axelrod N,Baldauf S,Ballard S,Boore J,Cochrane G,Cole J,Dawyndt P,De Vos P,DePamphilis C,Edwards R,Faruque N,Feldman R,Gilbert J,Gilna P,Glockner FO,Goldstein P,Guralnick R,Haft D,Hancock D,Hermjakob H,Hertz-Fowler C,Hugenholtz P,Joint I,Kagan L,Kane M,Kennedy J,Kowalchuk G,Kottmann R,Kolker E,Kravitz S,Kyrpides N,Leebens-Mack J,Lewis SE,Li K,Lister AL,Lord P,Maltsev N,Markowitz V,Martiny J,Methe B,Mizrachi I,Moxon R,Nelson K,Parkhill J,Proctor L,White O,Sansone SA,Spiers A,Stevens R,Swift P,Taylor C,Tateno Y,Tett A,Turner S,Ussery D,Vaughan B,Ward N,Whetzel T,San Gil I,Wilson G,Wipat A","journal":"Nat Biotechnol","doi":"10.1038/nbt1360","created_at":"2021-09-30T08:23:53.146Z","updated_at":"2021-09-30T08:23:53.146Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3602,"relation":"applies_to_content"}],"grants":[{"id":5081,"fairsharing_record_id":100,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:27:13.946Z","updated_at":"2021-09-30T09:27:13.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5084,"fairsharing_record_id":100,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:14.146Z","updated_at":"2021-09-30T09:27:14.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5082,"fairsharing_record_id":100,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:13.989Z","updated_at":"2021-09-30T09:27:13.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5083,"fairsharing_record_id":100,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:14.106Z","updated_at":"2021-09-30T09:27:14.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5085,"fairsharing_record_id":100,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:14.189Z","updated_at":"2021-09-30T09:27:14.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5086,"fairsharing_record_id":100,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:27:14.226Z","updated_at":"2021-09-30T09:27:14.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"88","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:09.596Z","metadata":{"doi":"10.25504/FAIRsharing.ngv2xx","name":"Apollo-SV","status":"ready","contacts":[{"contact_name":"William Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":"0000-0002-9881-1017"}],"homepage":"http://purl.obolibrary.org/obo/apollo_sv.owl","identifier":88,"description":"An ontology of infectious disease epidemiology and ecology (a.k.a. population biology).","abbreviation":"Apollo-SV","support_links":[{"url":"https://github.com/ApolloDev/apollo-sv","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/APOLLO-SV","name":"APOLLO-SV","portal":"BioPortal"}]},"legacy_ids":["bsg-002688","bsg-s002688"],"name":"FAIRsharing record for: Apollo-SV","abbreviation":"Apollo-SV","url":"https://fairsharing.org/10.25504/FAIRsharing.ngv2xx","doi":"10.25504/FAIRsharing.ngv2xx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of infectious disease epidemiology and ecology (a.k.a. population biology).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12453}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Ecology","Biomedical Science","Epidemiology","Population Genetics"],"domains":["Pathogen","Infection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1773,"pubmed_id":24551417,"title":"Apollo: giving application developers a single point of access to public health models using structured vocabularies and Web services.","year":2014,"url":"https://www.ncbi.nlm.nih.gov/pubmed/24551417","authors":"Wagner MM,Levander JD,Brown S,Hogan WR,Millett N,Hanna J","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:25:38.972Z","updated_at":"2021-09-30T08:25:38.972Z"},{"id":1988,"pubmed_id":27538448,"title":"The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0092-y","authors":"Hogan WR,Wagner MM,Brochhausen M,Levander J,Brown ST,Millett N,DePasse J,Hanna J","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0092-y","created_at":"2021-09-30T08:26:03.782Z","updated_at":"2021-09-30T08:26:03.782Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":206,"relation":"undefined"}],"grants":[{"id":5058,"fairsharing_record_id":88,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:13.116Z","updated_at":"2021-09-30T09:30:01.206Z","grant_id":516,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"UL1TR000064","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5060,"fairsharing_record_id":88,"organisation_id":102,"relation":"maintains","created_at":"2021-09-30T09:27:13.182Z","updated_at":"2021-09-30T09:27:13.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":102,"name":"Apollo Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5059,"fairsharing_record_id":88,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:13.150Z","updated_at":"2021-09-30T09:30:09.896Z","grant_id":580,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01GM101151","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8029,"fairsharing_record_id":88,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:30:29.787Z","updated_at":"2021-09-30T09:30:29.833Z","grant_id":735,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"UL1TR000039","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8351,"fairsharing_record_id":88,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:32:14.059Z","updated_at":"2021-09-30T09:32:14.149Z","grant_id":1528,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"UL1TR001427","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"89","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:24:04.000Z","updated_at":"2022-10-10T19:28:32.586Z","metadata":{"doi":"10.25504/FAIRsharing.ctqJoR","name":"Inist Periodic Table of the Elements Trilingual Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/8HQ/en/","citations":[],"identifier":89,"description":"This trilingual thesaurus (French, English, Spanish) deals with the 118 chemical elements of the periodic table recognized by the IUPAC. It is aligned with ChEBI, wikidata, wikipedia, DBpedia.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001412","bsg-s001412"],"name":"FAIRsharing record for: Inist Periodic Table of the Elements Trilingual Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ctqJoR","doi":"10.25504/FAIRsharing.ctqJoR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This trilingual thesaurus (French, English, Spanish) deals with the 118 chemical elements of the periodic table recognized by the IUPAC. It is aligned with ChEBI, wikidata, wikipedia, DBpedia.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11295}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry"],"domains":["Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":["chemical element"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1681,"relation":"undefined"}],"grants":[{"id":5061,"fairsharing_record_id":89,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:13.220Z","updated_at":"2021-09-30T09:27:13.220Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"90","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-01-06T09:09:14.249Z","metadata":{"doi":"10.25504/FAIRsharing.a1j1a7","name":"Pre-eclampsia Ontology","status":"ready","contacts":[{"contact_name":"Satoshi Mizuno","contact_email":"samizuno@med.tohoku.ac.jp"}],"homepage":"http://bioportal.bioontology.org/ontologies/PE-O","citations":[{"doi":"10.1371/journal.pone.0162828","pubmed_id":null,"publication_id":3173}],"identifier":90,"description":"The PEO incorporates a wide range of key concepts and terms of PE from clinical and biomedical research in structuring the knowledge base that is specific to PE.","abbreviation":"PE-O","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PE-O","name":"PE-O","portal":"BioPortal"}]},"legacy_ids":["bsg-000763","bsg-s000763"],"name":"FAIRsharing record for: Pre-eclampsia Ontology","abbreviation":"PE-O","url":"https://fairsharing.org/10.25504/FAIRsharing.a1j1a7","doi":"10.25504/FAIRsharing.a1j1a7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PEO incorporates a wide range of key concepts and terms of PE from clinical and biomedical research in structuring the knowledge base that is specific to PE.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gynecology","Obstetrics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Japan","United Kingdom"],"publications":[{"id":3173,"pubmed_id":null,"title":"The Pre-Eclampsia Ontology: A Disease Ontology Representing the Domain Knowledge Specific to Pre-Eclampsia","year":2016,"url":"http://dx.doi.org/10.1371/journal.pone.0162828","authors":"Mizuno, Satoshi; Ogishima, Soichi; Nishigori, Hidekazu; Jamieson, Daniel G.; Verspoor, Karin; Tanaka, Hiroshi; Yaegashi, Nobuo; Nakaya, Jun; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0162828","created_at":"2022-01-05T20:07:41.026Z","updated_at":"2022-01-05T20:07:41.026Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"91","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:40.168Z","metadata":{"doi":"10.25504/FAIRsharing.3mdt9n","name":"Chemical Markup Language","status":"ready","contacts":[{"contact_name":"Peter Murray-Rust","contact_email":"pm286@cam.ac.uk","contact_orcid":"0000-0003-3386-3972"}],"homepage":"http://www.xml-cml.org/spec/","identifier":91,"description":"CML (Chemical Markup Language) is an XML language designed to hold most of the central concepts in chemistry. It was the first language to be developed and plays the same role for chemistry as MathML for mathematics and GML for geographical systems. CML covers most mainstream chemistry and especially molecules, reactions, solid-state, computation and spectroscopy as well as a wide range of chemical properties, parameters and experimental observation. It is particularly concerned with the communication between machines and humans, and machines to machines.","abbreviation":"CML","support_links":[{"url":"http://www.xml-cml.org/documentation/FAQ.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.xml-cml.org/documentation/index.html","type":"Help documentation"},{"url":"cml-discuss@lists.sourceforge.net","name":"CML Mailing list","type":"Mailing list"},{"url":"http://www.xml-cml.org/tutorial/","type":"Training documentation"}],"year_creation":1995,"associated_tools":[{"url":"http://www.xml-cml.org/tools/software.html","name":"CML aware tools"}]},"legacy_ids":["bsg-000119","bsg-s000119"],"name":"FAIRsharing record for: Chemical Markup Language","abbreviation":"CML","url":"https://fairsharing.org/10.25504/FAIRsharing.3mdt9n","doi":"10.25504/FAIRsharing.3mdt9n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CML (Chemical Markup Language) is an XML language designed to hold most of the central concepts in chemistry. It was the first language to be developed and plays the same role for chemistry as MathML for mathematics and GML for geographical systems. CML covers most mainstream chemistry and especially molecules, reactions, solid-state, computation and spectroscopy as well as a wide range of chemical properties, parameters and experimental observation. It is particularly concerned with the communication between machines and humans, and machines to machines.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11713}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Chemistry","Life Science"],"domains":["Molecular structure","Mathematical model","Reaction data","Molecular entity","Spectroscopy","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1033,"pubmed_id":12767134,"title":"Chemical markup, XML, and the World Wide Web. 4. CML schema","year":2003,"url":"http://doi.org/10.1021/ci0256541","authors":"Murray-Rust P, Rzepa HS","journal":"J Chem Inf Comput Sci","doi":"10.1021/ci0256541","created_at":"2021-09-30T08:24:14.381Z","updated_at":"2021-09-30T08:24:14.381Z"}],"licence_links":[],"grants":[{"id":5062,"fairsharing_record_id":91,"organisation_id":501,"relation":"maintains","created_at":"2021-09-30T09:27:13.258Z","updated_at":"2021-09-30T09:27:13.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":501,"name":"Chemical Markup Language (CML) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5063,"fairsharing_record_id":91,"organisation_id":352,"relation":"maintains","created_at":"2021-09-30T09:27:13.295Z","updated_at":"2021-09-30T09:27:13.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"78","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:27.701Z","metadata":{"doi":"10.25504/FAIRsharing.hza1ec","name":"Binary Alignment Map Format","status":"ready","contacts":[{"contact_name":"Brian Lee","contact_email":"brianlee@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bam.html","identifier":78,"description":"BAM is the compressed binary version of the Sequence Alignment/Map (SAM) format, a compact and indexable representation of nucleotide sequence alignments. Many next-generation sequencing and analysis tools work with SAM/BAM. For custom track display, the main advantage of indexed BAM over PSL and other human-readable alignment formats is that only the portions of the files needed to display a particular region are transferred to UCSC. This makes it possible to display alignments from files that are so large that the connection to UCSC would time out when attempting to upload the whole file to UCSC. Both the BAM file and its associated index file remain on your web-accessible server (http, https, or ftp), not on the UCSC server. UCSC temporarily caches the accessed portions of the files to speed up interactive display.","abbreviation":"BAM","support_links":[{"url":"https://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"},{"url":"genome@soe.ucsc.edu","type":"Support email"},{"url":"https://genome.ucsc.edu/FAQ/FAQformat.html#format5.1","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/a/soe.ucsc.edu/forum/?hl=en#!forum/genome-announce","type":"Forum"},{"url":"https://genome.ucsc.edu/goldenpath/help/hgBamTrackHelp.html","type":"Help documentation"},{"url":"http://genome.ucsc.edu/goldenPath/help/bam.html","type":"Help documentation"}],"associated_tools":[{"url":"http://samtools.sourceforge.net/","name":"SAMtools 1.4"}]},"legacy_ids":["bsg-000210","bsg-s000210"],"name":"FAIRsharing record for: Binary Alignment Map Format","abbreviation":"BAM","url":"https://fairsharing.org/10.25504/FAIRsharing.hza1ec","doi":"10.25504/FAIRsharing.hza1ec","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BAM is the compressed binary version of the Sequence Alignment/Map (SAM) format, a compact and indexable representation of nucleotide sequence alignments. Many next-generation sequencing and analysis tools work with SAM/BAM. For custom track display, the main advantage of indexed BAM over PSL and other human-readable alignment formats is that only the portions of the files needed to display a particular region are transferred to UCSC. This makes it possible to display alignments from files that are so large that the connection to UCSC would time out when attempting to upload the whole file to UCSC. Both the BAM file and its associated index file remain on your web-accessible server (http, https, or ftp), not on the UCSC server. UCSC temporarily caches the accessed portions of the files to speed up interactive display.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18272},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11168},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11276},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11862},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12008},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16917}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5030,"fairsharing_record_id":78,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:11.911Z","updated_at":"2021-09-30T09:27:11.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"79","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:43:26.966Z","metadata":{"doi":"10.25504/FAIRsharing.b3c5ck","name":"Bilingual lexicon of water related texts and data","status":"in_development","contacts":[{"contact_name":"J.-L. Janin","contact_email":"jeanlouisjanin@gmail.com"}],"homepage":"http://agroportal.lirmm.fr/ontologies/LEXEAU","identifier":79,"description":"This terminology is also known as the Lexique bilingue des textes et des données sur l'eau. The Lexeau project is in the research and developement stage, using existing software to test the lexicon model and user interface on specific themes of the water domain such as flooding. This resource does not have a specific homepage, and currently is only available via AgroPortal.","abbreviation":"Lexeau","year_creation":2017},"legacy_ids":["bsg-001107","bsg-s001107"],"name":"FAIRsharing record for: Bilingual lexicon of water related texts and data","abbreviation":"Lexeau","url":"https://fairsharing.org/10.25504/FAIRsharing.b3c5ck","doi":"10.25504/FAIRsharing.b3c5ck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This terminology is also known as the Lexique bilingue des textes et des données sur l'eau. The Lexeau project is in the research and developement stage, using existing software to test the lexicon model and user interface on specific themes of the water domain such as flooding. This resource does not have a specific homepage, and currently is only available via AgroPortal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Earth Science","Water Management","Water Research"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":5031,"fairsharing_record_id":79,"organisation_id":299,"relation":"maintains","created_at":"2021-09-30T09:27:11.949Z","updated_at":"2021-09-30T09:27:11.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":299,"name":"Bordeaux Montaigne University, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"81","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-09-29T11:55:00.229Z","metadata":{"doi":"10.25504/FAIRsharing.t7mby9","name":"ISO 19115-1:2014 Geographic information -- Metadata -- Part 1: Fundamentals","status":"ready","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/53798.html","citations":[],"identifier":81,"description":"ISO 19115-1:2014 defines the schema required for describing geographic information and services by means of metadata. It provides information about the identification, the extent, the quality, the spatial and temporal aspects, the content, the spatial reference, the portrayal, distribution, and other properties of digital geographic data and services.","abbreviation":"ISO 19115-1:2014","year_creation":2014},"legacy_ids":["bsg-000861","bsg-s000861"],"name":"FAIRsharing record for: ISO 19115-1:2014 Geographic information -- Metadata -- Part 1: Fundamentals","abbreviation":"ISO 19115-1:2014","url":"https://fairsharing.org/10.25504/FAIRsharing.t7mby9","doi":"10.25504/FAIRsharing.t7mby9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115-1:2014 defines the schema required for describing geographic information and services by means of metadata. It provides information about the identification, the extent, the quality, the spatial and temporal aspects, the content, the spatial reference, the portrayal, distribution, and other properties of digital geographic data and services.","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13333}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1633,"relation":"undefined"}],"grants":[{"id":5042,"fairsharing_record_id":81,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:12.457Z","updated_at":"2021-09-30T09:27:12.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10933,"fairsharing_record_id":81,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:22:52.888Z","updated_at":"2023-09-27T14:22:52.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"82","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:47.443Z","metadata":{"doi":"10.25504/FAIRsharing.1rj558","name":"Teleost Taxonomy Ontology","status":"ready","contacts":[{"contact_name":"Paula Mabee","contact_email":"pmabee@usd.edu","contact_orcid":"0000-0002-8455-3213"}],"homepage":"https://wiki.phenoscape.org/wiki/Ontologies#Teleost_Taxonomy_Ontology_.28TTO.29","identifier":82,"description":"This is an ontology of taxonomic terms (names of taxonomic groups) used in the systematics of fish, including non-teleost groups such as Chondrichthys (sharks and rays), Sarcopterygii (lungfish and coelacanths), lampreys, and hagfish.","abbreviation":"TTO","support_links":[{"url":"https://blog.phenoscape.org","type":"Blog/News"},{"url":"peteremidford@yahoo.com","name":"Peter Midford","type":"Support email"},{"url":"https://wiki.phenoscape.org/wiki/Teleost_Taxonomy_Ontology","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TTO","name":"TTO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tto.html","name":"tto","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000153","bsg-s000153"],"name":"FAIRsharing record for: Teleost Taxonomy Ontology","abbreviation":"TTO","url":"https://fairsharing.org/10.25504/FAIRsharing.1rj558","doi":"10.25504/FAIRsharing.1rj558","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is an ontology of taxonomic terms (names of taxonomic groups) used in the systematics of fish, including non-teleost groups such as Chondrichthys (sharks and rays), Sarcopterygii (lungfish and coelacanths), lampreys, and hagfish.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Taxonomic classification"],"taxonomies":["Chondrichthys","Sarcopterygii","Teleostei"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":358,"relation":"undefined"}],"grants":[{"id":5043,"fairsharing_record_id":82,"organisation_id":2318,"relation":"maintains","created_at":"2021-09-30T09:27:12.489Z","updated_at":"2021-09-30T09:27:12.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":2318,"name":"Phenoscape","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5044,"fairsharing_record_id":82,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:12.518Z","updated_at":"2021-09-30T09:27:12.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"80","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:56.058Z","metadata":{"doi":"10.25504/FAIRsharing.6f7m6j","name":"Simulation Experiment Description Markup Language","status":"ready","contacts":[{"contact_name":"SED-ML Editors","contact_email":"sed-ml-editors@lists.sourceforge.net"}],"homepage":"http://sed-ml.org/","identifier":80,"description":"SED-ML is an XML-based format for encoding simulation setups, to ensure exchangeability and reproducibility of simulation experiments. It follows the requirements defined in the MIASE guidelines. SED-ML encodes in a computer-readable exchange format the information required by MIASE to enable reproduction of simulation experiments. It has been developed as a community project and it is defined in a detailed technical specification and additionally provides an XML schema.","abbreviation":"SED-ML","support_links":[{"url":"http://sed-ml.org/contact.html","name":"Contact Information","type":"Contact form"},{"url":"https://github.com/SED-ML/sed-ml/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://sed-ml.org/examples.html","name":"Examples of Use","type":"Help documentation"},{"url":"https://groups.google.com/g/sed-ml-discuss","name":"SED-ML Discussion List","type":"Mailing list"},{"url":"https://github.com/SED-ML/sed-ml","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/biosimulators-help","name":"BioSimulators tutorial and help","type":"TeSS links to training materials"}],"year_creation":2008,"associated_tools":[{"url":"http://sed-ml.org/showcase.html","name":"SED-ML Tools and Libraries List"}]},"legacy_ids":["bsg-000148","bsg-s000148"],"name":"FAIRsharing record for: Simulation Experiment Description Markup Language","abbreviation":"SED-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.6f7m6j","doi":"10.25504/FAIRsharing.6f7m6j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SED-ML is an XML-based format for encoding simulation setups, to ensure exchangeability and reproducibility of simulation experiments. It follows the requirements defined in the MIASE guidelines. SED-ML encodes in a computer-readable exchange format the information required by MIASE to enable reproduction of simulation experiments. It has been developed as a community project and it is defined in a detailed technical specification and additionally provides an XML schema.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10847},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11151},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11877},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11965},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12207},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16940}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Systems Biology"],"domains":["Mathematical model","Modeling and simulation","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":944,"pubmed_id":26528560,"title":"Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 2.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-262","authors":"Bergmann FT,Cooper J,Le Novere N,Nickerson D,Waltemath D","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-262","created_at":"2021-09-30T08:24:04.463Z","updated_at":"2021-09-30T08:24:04.463Z"},{"id":977,"pubmed_id":22172142,"title":"Reproducible computational biology experiments with SED-ML--the Simulation Experiment Description Markup Language.","year":2011,"url":"http://doi.org/10.1186/1752-0509-5-198","authors":"Waltemath D,Adams R,Bergmann FT,Hucka M,Kolpakov F,Miller AK,Moraru II,Nickerson D,Sahle S,Snoep JL,Le Novere N","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-5-198","created_at":"2021-09-30T08:24:08.130Z","updated_at":"2021-09-30T08:24:08.130Z"}],"licence_links":[],"grants":[{"id":5034,"fairsharing_record_id":80,"organisation_id":2539,"relation":"maintains","created_at":"2021-09-30T09:27:12.068Z","updated_at":"2021-09-30T09:27:12.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":2539,"name":"SED-ML editors","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5040,"fairsharing_record_id":80,"organisation_id":3196,"relation":"funds","created_at":"2021-09-30T09:27:12.378Z","updated_at":"2021-09-30T09:27:12.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":3196,"name":"VPH-Share Project","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8420,"fairsharing_record_id":80,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:33.718Z","updated_at":"2021-09-30T09:32:33.778Z","grant_id":1675,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54-RR022232","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8468,"fairsharing_record_id":80,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:32:47.152Z","updated_at":"2021-09-30T09:32:47.210Z","grant_id":1777,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM081070","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5032,"fairsharing_record_id":80,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:11.986Z","updated_at":"2021-09-30T09:27:11.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5037,"fairsharing_record_id":80,"organisation_id":1755,"relation":"funds","created_at":"2021-09-30T09:27:12.186Z","updated_at":"2021-09-30T09:27:12.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":1755,"name":"Marie Skodowska-Curie actions, Europe","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5039,"fairsharing_record_id":80,"organisation_id":1775,"relation":"funds","created_at":"2021-09-30T09:27:12.336Z","updated_at":"2021-09-30T09:27:12.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":1775,"name":"Maurice Wilkins Center for Molecular Biodiscovery, Auckland, New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5038,"fairsharing_record_id":80,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:12.287Z","updated_at":"2021-09-30T09:29:46.484Z","grant_id":396,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/D019621/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5035,"fairsharing_record_id":80,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:12.111Z","updated_at":"2021-09-30T09:31:04.748Z","grant_id":1006,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG Research Training Group 1387/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5041,"fairsharing_record_id":80,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:27:12.420Z","updated_at":"2021-09-30T09:31:58.911Z","grant_id":1415,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031 6194","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5036,"fairsharing_record_id":80,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:12.149Z","updated_at":"2021-09-30T09:32:23.722Z","grant_id":1600,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"P41-RR013186","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5033,"fairsharing_record_id":80,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:12.028Z","updated_at":"2021-09-30T09:31:58.025Z","grant_id":1409,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM070923","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"83","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:06:41.840Z","metadata":{"doi":"10.25504/FAIRsharing.26dmba","name":"mz Markup Language","status":"ready","contacts":[{"contact_name":"Sylvie Ricard-Blum","contact_email":"sylvie.ricard-blum@univ-lyon1.fr"}],"homepage":"http://www.psidev.info/mzml","identifier":83,"description":"mzML was formed to amalgamate two formats for encoding raw spectrometer data; mzData developed by the PSI, and, mzXML developed at the Seattle Proteome Center at the Institute for Systems Biology. The PSI, with full participation by the ISB, developed the new format by taking the best aspects of each of the precursors to form a single, less confusing, format.","abbreviation":"mzML","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","name":"SourceForge Mailing list","type":"Mailing list"}],"year_creation":2008},"legacy_ids":["bsg-000112","bsg-s000112"],"name":"FAIRsharing record for: mz Markup Language","abbreviation":"mzML","url":"https://fairsharing.org/10.25504/FAIRsharing.26dmba","doi":"10.25504/FAIRsharing.26dmba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mzML was formed to amalgamate two formats for encoding raw spectrometer data; mzData developed by the PSI, and, mzXML developed at the Seattle Proteome Center at the Institute for Systems Biology. The PSI, with full participation by the ISB, developed the new format by taking the best aspects of each of the precursors to form a single, less confusing, format.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10911},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11025},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11149},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11270},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11431},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11962}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mass spectrum","Centrally registered identifier","Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Germany","United Kingdom"],"publications":[{"id":99,"pubmed_id":24727771,"title":"ProteomeXchange provides globally coordinated proteomics data submission and dissemination.","year":2014,"url":"http://doi.org/10.1038/nbt.2839","authors":"Vizcaíno JA, Deutsch EW, Wang R, et al.","journal":"Nat Biotechnol.","doi":"10.1038/nbt.2839","created_at":"2021-09-30T08:22:31.122Z","updated_at":"2021-09-30T08:22:31.122Z"},{"id":2176,"pubmed_id":20716697,"title":"mzML--a community standard for mass spectrometry data.","year":2010,"url":"http://doi.org/10.1074/mcp.R110.000133","authors":"Martens L,Chambers M,Sturm M,Kessner D,Levander F,Shofstahl J,Tang WH,Rompp A,Neumann S,Pizarro AD,Montecchi-Palazzi L,Tasman N,Coleman M,Reisinger F,Souda P,Hermjakob H,Binz PA,Deutsch EW","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.R110.000133","created_at":"2021-09-30T08:26:25.225Z","updated_at":"2021-09-30T08:26:25.225Z"}],"licence_links":[],"grants":[{"id":5046,"fairsharing_record_id":83,"organisation_id":1291,"relation":"maintains","created_at":"2021-09-30T09:27:12.575Z","updated_at":"2021-09-30T09:27:12.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":1291,"name":"HUPO-PSI initiative; Quality Control working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5045,"fairsharing_record_id":83,"organisation_id":2471,"relation":"maintains","created_at":"2021-09-30T09:27:12.548Z","updated_at":"2021-09-30T09:27:12.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":2471,"name":"Ruhr-Universitat Bochum","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5047,"fairsharing_record_id":83,"organisation_id":2985,"relation":"maintains","created_at":"2021-09-30T09:27:12.611Z","updated_at":"2021-09-30T09:27:12.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":2985,"name":"Universite de Lyon, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5048,"fairsharing_record_id":83,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:27:12.721Z","updated_at":"2021-09-30T09:27:12.721Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"106","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.376Z","metadata":{"doi":"10.25504/FAIRsharing.t8g7yc","name":"Minimum Information About an RNAi Experiment Tabular","status":"ready","contacts":[{"contact_email":"p.ghazal@ed.ac.uk"}],"homepage":"http://miare.sourceforge.net/HomePage","identifier":106,"description":"Minimum Information About an RNAi Experiment Tabular (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","abbreviation":"MIARE-TAB","support_links":[{"url":"https://sourceforge.net/p/miare/mailman/","type":"Mailing list"},{"url":"http://miare.sourceforge.net/HomePage#current%20documents","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000188","bsg-s000188"],"name":"FAIRsharing record for: Minimum Information About an RNAi Experiment Tabular","abbreviation":"MIARE-TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.t8g7yc","doi":"10.25504/FAIRsharing.t8g7yc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimum Information About an RNAi Experiment Tabular (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11998},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12434}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science"],"domains":["Annotation","RNA interference","Assay","Small interfering RNA","Gene","Short Hairpin RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1678,"pubmed_id":16847461,"title":"Standards for systems biology.","year":2006,"url":"http://doi.org/10.1038/nrg1922","authors":"Brazma A,Krestyaninova M,Sarkans U","journal":"Nat Rev Genet","doi":"10.1038/nrg1922","created_at":"2021-09-30T08:25:27.979Z","updated_at":"2021-09-30T08:25:27.979Z"},{"id":1689,"pubmed_id":19765810,"title":"A genome-wide RNAi screen for modifiers of the circadian clock in human cells.","year":2009,"url":"http://doi.org/10.1016/j.cell.2009.08.031","authors":"Zhang EE,Liu AC,Hirota T,Miraglia LJ,Welch G,Pongsawakul PY,Liu X,Atwood A,Huss JW 3rd,Janes J,Su AI,Hogenesch JB,Kay SA","journal":"Cell","doi":"10.1016/j.cell.2009.08.031","created_at":"2021-09-30T08:25:29.296Z","updated_at":"2021-09-30T08:25:29.296Z"}],"licence_links":[],"grants":[{"id":5096,"fairsharing_record_id":106,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:14.676Z","updated_at":"2021-09-30T09:27:14.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5095,"fairsharing_record_id":106,"organisation_id":1848,"relation":"maintains","created_at":"2021-09-30T09:27:14.645Z","updated_at":"2021-09-30T09:27:14.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":1848,"name":"Minimum Information About an RNAi Experiment (MIARE) informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"107","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:24.434Z","metadata":{"doi":"10.25504/FAIRsharing.k5ky44","name":"TDWG Standards Documentation Specification","status":"in_development","contacts":[{"contact_name":"Steve Baskauf","contact_email":"steve.baskauf@vanderbilt.edu","contact_orcid":"0000-0003-4365-3135"}],"homepage":"https://www.tdwg.org/standards/sds/","identifier":107,"description":"This document defines how TDWG standards should be presented. Each standard is a logical directory or folder containing two or more files - a cover page outlining basic meta data for the standard and one or more normative files specifying the standard itself. Rules are specified for the naming of standards and files. Human readable files should be in English, follow basic layout principles and be marked up in XHTML. The legal statements that all documents must contain are defined.","abbreviation":"TDWG SDS","support_links":[{"url":"https://github.com/tdwg/vocab","type":"Github"},{"url":"https://github.com/tdwg/vocab/tree/master/sds","name":"Github","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-000201","bsg-s000201"],"name":"FAIRsharing record for: TDWG Standards Documentation Specification","abbreviation":"TDWG SDS","url":"https://fairsharing.org/10.25504/FAIRsharing.k5ky44","doi":"10.25504/FAIRsharing.k5ky44","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document defines how TDWG standards should be presented. Each standard is a logical directory or folder containing two or more files - a cover page outlining basic meta data for the standard and one or more normative files specifying the standard itself. Rules are specified for the naming of standards and files. Human readable files should be in English, follow basic layout principles and be marked up in XHTML. The legal statements that all documents must contain are defined.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11992},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12268}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1070,"relation":"undefined"}],"grants":[{"id":5097,"fairsharing_record_id":107,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:27:14.705Z","updated_at":"2021-09-30T09:27:14.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"108","type":"fairsharing_records","attributes":{"created_at":"2015-02-20T22:17:24.000Z","updated_at":"2021-11-24T13:15:37.432Z","metadata":{"doi":"10.25504/FAIRsharing.r0r2wd","name":"Root System Markup Language","status":"ready","contacts":[{"contact_name":"Xavier Draye","contact_email":"xavier.draye@uclouvain.be","contact_orcid":"0000-0002-3637-3330"}],"homepage":"http://rootsystemml.github.io/","identifier":108,"description":"RSML follows the XML standard to store 2D or 3D image metadata, plant and root properties and geometries, continuous functions along individual root paths and a suite of annotations at the image, plant or root scales, at one or several time points. Plant ontologies are used to describe botanical entities that are relevant at the scale of root system architecture. An xml-schema describes the features and constraints of RSML and open-source packages have been developed in several languages (R, Excel, Java, Python, C#) to enable researchers to integrate RSML files into popular research workflow.","abbreviation":"RSML","support_links":[{"url":"http://rootsystemml.github.io/examples/","type":"Github"}]},"legacy_ids":["bsg-000581","bsg-s000581"],"name":"FAIRsharing record for: Root System Markup Language","abbreviation":"RSML","url":"https://fairsharing.org/10.25504/FAIRsharing.r0r2wd","doi":"10.25504/FAIRsharing.r0r2wd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RSML follows the XML standard to store 2D or 3D image metadata, plant and root properties and geometries, continuous functions along individual root paths and a suite of annotations at the image, plant or root scales, at one or several time points. Plant ontologies are used to describe botanical entities that are relevant at the scale of root system architecture. An xml-schema describes the features and constraints of RSML and open-source packages have been developed in several languages (R, Excel, Java, Python, C#) to enable researchers to integrate RSML files into popular research workflow.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Plant Anatomy"],"domains":["Root"],"taxonomies":["Plantae"],"user_defined_tags":["Metadata standardization"],"countries":["Austria","Belgium","France","Germany","United Kingdom"],"publications":[{"id":1652,"pubmed_id":25614065,"title":"Root system markup language: toward a unified root architecture description language.","year":2015,"url":"http://doi.org/10.1104/pp.114.253625","authors":"Lobet G,Pound MP,Diener J,Pradal C,Draye X,Godin C,Javaux M,Leitner D,Meunier F,Nacry P,Pridmore TP,Schnepf A","journal":"Plant Physiol","doi":"10.1104/pp.114.253625","created_at":"2021-09-30T08:25:25.080Z","updated_at":"2021-09-30T08:25:25.080Z"}],"licence_links":[],"grants":[{"id":5099,"fairsharing_record_id":108,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:27:14.840Z","updated_at":"2021-09-30T09:29:56.028Z","grant_id":475,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR–11–BSV6–0018","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5098,"fairsharing_record_id":108,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:27:14.734Z","updated_at":"2021-09-30T09:30:31.799Z","grant_id":749,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","grant":"P7/29","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"109","type":"fairsharing_records","attributes":{"created_at":"2019-08-21T02:34:58.000Z","updated_at":"2022-07-20T11:03:56.546Z","metadata":{"doi":"10.25504/FAIRsharing.eMSVvJ","name":"Hourly Global Ionospheric Maps","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ac@ionosphere.cn"}],"homepage":"http://ionosphere.cn","identifier":109,"description":"Near real-time modeling of global ionospheric total electron content by using the hourly IGS data.","abbreviation":"Hourly GIMs","support_links":[{"url":"acheng@buaa.edu.cn","name":"Cheng Wang","type":"Support email"}],"year_creation":2018,"associated_tools":[{"url":"http://ionosphere.cn/page/inx_editor","name":"INX Editor 1.2"}]},"legacy_ids":["bsg-001389","bsg-s001389"],"name":"FAIRsharing record for: Hourly Global Ionospheric Maps","abbreviation":"Hourly GIMs","url":"https://fairsharing.org/10.25504/FAIRsharing.eMSVvJ","doi":"10.25504/FAIRsharing.eMSVvJ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Near real-time modeling of global ionospheric total electron content by using the hourly IGS data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Atmospheric Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["ionosphere"],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":5101,"fairsharing_record_id":109,"organisation_id":188,"relation":"maintains","created_at":"2021-09-30T09:27:14.922Z","updated_at":"2021-09-30T09:27:14.922Z","grant_id":null,"is_lead":true,"saved_state":{"id":188,"name":"Beihang University, Beihang, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5100,"fairsharing_record_id":109,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:27:14.881Z","updated_at":"2021-09-30T09:30:13.153Z","grant_id":604,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"41804026","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"110","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.461Z","metadata":{"doi":"10.25504/FAIRsharing.72e4we","name":"Chain Format for pairwise alignment","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/chain.html","identifier":110,"description":"The chain format describes a pairwise alignment that allow gaps in both sequences simultaneously. Each set of chain alignments starts with a header line, contains one or more alignment data lines, and terminates with a blank line. The format is deliberately quite dense.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000221","bsg-s000221"],"name":"FAIRsharing record for: Chain Format for pairwise alignment","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.72e4we","doi":"10.25504/FAIRsharing.72e4we","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The chain format describes a pairwise alignment that allow gaps in both sequences simultaneously. Each set of chain alignments starts with a header line, contains one or more alignment data lines, and terminates with a blank line. The format is deliberately quite dense.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"111","type":"fairsharing_records","attributes":{"created_at":"2015-05-11T07:17:12.000Z","updated_at":"2024-02-27T11:54:31.543Z","metadata":{"doi":"10.25504/FAIRsharing.v8nve2","name":"Joint Committee on Atomic and Molecular Physical data - working group on Data eXchange","status":"ready","contacts":[{"contact_name":"Tony Davies","contact_email":"tony.davies@waters.com"}],"homepage":"http://jcamp-dx.org/","citations":[],"identifier":111,"description":"JCAMP-DX is used for exchanging moderate numbers of spectra. JCAMP-DX was one of the earliest specifications providing a standard file format for data exchange in mass spectrometry. It was initially developed for infrared spectrometry and related chemical and physical information between spectrometer data systems of different manufacture. It was also used later for nuclear magnetic resonance spectroscopy. JCAMP-DX is an ASCII based format and includes standards for file compression. All data are stored as labeled fields of variable length using printable ASCII characters. JCAMP-DX was found impractical for today's large MS data sets, but it is still used for exchanging moderate numbers of spectra. IUPAC is currently in charge of its maintenance and the latest protocol is from 2005.","abbreviation":"JCAMP-DX","support_links":[],"year_creation":1988},"legacy_ids":["bsg-000590","bsg-s000590"],"name":"FAIRsharing record for: Joint Committee on Atomic and Molecular Physical data - working group on Data eXchange","abbreviation":"JCAMP-DX","url":"https://fairsharing.org/10.25504/FAIRsharing.v8nve2","doi":"10.25504/FAIRsharing.v8nve2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JCAMP-DX is used for exchanging moderate numbers of spectra. JCAMP-DX was one of the earliest specifications providing a standard file format for data exchange in mass spectrometry. It was initially developed for infrared spectrometry and related chemical and physical information between spectrometer data systems of different manufacture. It was also used later for nuclear magnetic resonance spectroscopy. JCAMP-DX is an ASCII based format and includes standards for file compression. All data are stored as labeled fields of variable length using printable ASCII characters. JCAMP-DX was found impractical for today's large MS data sets, but it is still used for exchanging moderate numbers of spectra. IUPAC is currently in charge of its maintenance and the latest protocol is from 2005.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10915},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11035},{"linking_record_name":"Semantic Assets for Materials Science","linking_record_id":3512,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11310},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11728}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Mass spectrum","Spectroscopy","Infared spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":726,"pubmed_id":null,"title":"JCAMP-DX: A Standard Form for Exchange of Infrared Spectra in Computer Readable Form","year":1988,"url":"http://doi.org/10.1366%2F0003702884428734","authors":"McDonald, Robert S.; Wilks, Paul A.","journal":"Applied Spectroscopy","doi":"10.1366%2F0003702884428734","created_at":"2021-09-30T08:23:40.015Z","updated_at":"2021-09-30T08:23:40.015Z"}],"licence_links":[],"grants":[{"id":5102,"fairsharing_record_id":111,"organisation_id":1537,"relation":"funds","created_at":"2021-09-30T09:27:14.961Z","updated_at":"2021-09-30T09:27:14.961Z","grant_id":null,"is_lead":false,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":11424,"fairsharing_record_id":111,"organisation_id":4290,"relation":"maintains","created_at":"2024-02-27T11:50:00.177Z","updated_at":"2024-02-27T11:50:00.177Z","grant_id":null,"is_lead":true,"saved_state":{"id":4290,"name":"IUPAC CPEP Subcommittee on Electronic Data Standards","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11425,"fairsharing_record_id":111,"organisation_id":1537,"relation":"maintains","created_at":"2024-02-27T11:50:00.177Z","updated_at":"2024-02-27T11:50:00.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"125","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-14T08:52:56.556Z","metadata":{"doi":"10.25504/FAIRsharing.cfzz0h","name":"Variant Call Format","status":"ready","contacts":[{"contact_name":"Reggan Thomas","contact_email":"reggan.thomas@ga4gh.org","contact_orcid":"0000-0002-1803-444X"}],"homepage":"https://www.ga4gh.org/product/genetic-variation-formats-vcf/","citations":[{"doi":"10.12688/f1000research.109080.2","pubmed_id":null,"publication_id":4065}],"identifier":125,"description":"Variant Call Format (VCF) is a text file format (most likely stored in a compressed manner). It contains meta-information lines, a header line, and then data lines each containing information about a position in the genome.","abbreviation":"VCF","support_links":[{"url":"https://samtools.github.io/hts-specs/","type":"Github"}]},"legacy_ids":["bsg-000270","bsg-s000270"],"name":"FAIRsharing record for: Variant Call Format","abbreviation":"VCF","url":"https://fairsharing.org/10.25504/FAIRsharing.cfzz0h","doi":"10.25504/FAIRsharing.cfzz0h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Variant Call Format (VCF) is a text file format (most likely stored in a compressed manner). It contains meta-information lines, a header line, and then data lines each containing information about a position in the genome.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18273},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10999},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11277},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11614},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11863},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12011},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12446},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16925}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Sequence position","Deoxyribonucleic acid","Genome","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":4065,"pubmed_id":null,"title":"Recommendations for the formatting of Variant Call Format (VCF) files to make plant genotyping data FAIR","year":2022,"url":"http://dx.doi.org/10.12688/f1000research.109080.2","authors":"Beier, Sebastian; Fiebig, Anne; Pommier, Cyril; Liyanage, Isuru; Lange, Matthias; Kersey, Paul J.; Weise, Stephan; Finkers, Richard; Koylass, Baron; Cezard, Timothee; Courtot, Mélanie; Contreras-Moreira, Bruno; Naamati, Guy; Dyer, Sarah; Scholz, Uwe; ","journal":"F1000Res","doi":"10.12688/f1000research.109080.2","created_at":"2023-12-13T16:39:34.815Z","updated_at":"2023-12-13T16:39:34.815Z"}],"licence_links":[],"grants":[{"id":5126,"fairsharing_record_id":125,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:15.999Z","updated_at":"2021-09-30T09:32:45.837Z","grant_id":1767,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"WT104947/Z/14/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":10883,"fairsharing_record_id":125,"organisation_id":116,"relation":"maintains","created_at":"2023-09-22T08:42:20.392Z","updated_at":"2023-09-22T08:42:20.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":116,"name":"Global Alliance for Genomics and Health","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"127","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.254Z","metadata":{"doi":"10.25504/FAIRsharing.4da1jx","name":"microarray track data Browser Extensible Data Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genomewiki.ucsc.edu/index.php/Microarray_track","identifier":127,"description":"The microarray track data Browser Extensible Data Format displays configuration files for microarray annotation tracks displayed on the UCSC Genome Browser.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Help documentation"}]},"legacy_ids":["bsg-000243","bsg-s000243"],"name":"FAIRsharing record for: microarray track data Browser Extensible Data Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4da1jx","doi":"10.25504/FAIRsharing.4da1jx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The microarray track data Browser Extensible Data Format displays configuration files for microarray annotation tracks displayed on the UCSC Genome Browser.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12432}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Expression data"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5128,"fairsharing_record_id":127,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.074Z","updated_at":"2021-09-30T09:27:16.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"128","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:48:30.001Z","metadata":{"doi":"10.25504/FAIRsharing.evxcfb","name":"net alignment annotation Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/net.html","citations":[],"identifier":128,"description":"The net file format is used to describe the axtNet data that underlie the net alignment annotations in the Genome Browser.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000249","bsg-s000249"],"name":"FAIRsharing record for: net alignment annotation Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.evxcfb","doi":"10.25504/FAIRsharing.evxcfb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The net file format is used to describe the axtNet data that underlie the net alignment annotations in the Genome Browser.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Deoxyribonucleic acid","Sequence alignment","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5129,"fairsharing_record_id":128,"organisation_id":3037,"relation":"undefined","created_at":"2021-09-30T09:27:16.115Z","updated_at":"2021-09-30T09:27:16.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":5130,"fairsharing_record_id":128,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.157Z","updated_at":"2021-09-30T09:27:16.157Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"129","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2021-12-10T14:53:36.539Z","metadata":{"doi":"10.25504/FAIRsharing.1xr6v0","name":"Surgical Secondary Events","status":"deprecated","contacts":[{"contact_name":"Hugh McGowan","contact_email":"surse@mskcc.org"},{"contact_name":"General Contact","contact_email":"surse@mskcc.org","contact_orcid":null}],"homepage":"http://www.mskcc.org/sse","citations":[],"identifier":129,"description":"Memorial Sloan-Kettering Cancer Center Surgical Secondary Events Ontology (Adverse Events)","abbreviation":"SSE","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SSE","name":"SSE","portal":"BioPortal"}],"deprecation_date":"2021-12-08","deprecation_reason":"This resource is no longer available at the stated homepage, and we cannot find an updated homepage. Please get in touch with us if you have any information regarding this resource."},"legacy_ids":["bsg-000821","bsg-s000821"],"name":"FAIRsharing record for: Surgical Secondary Events","abbreviation":"SSE","url":"https://fairsharing.org/10.25504/FAIRsharing.1xr6v0","doi":"10.25504/FAIRsharing.1xr6v0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Memorial Sloan-Kettering Cancer Center Surgical Secondary Events Ontology (Adverse Events)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Surgery"],"domains":["Adverse Reaction"],"taxonomies":["All"],"user_defined_tags":["Adverse outcome pathways"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"130","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2021-11-24T13:14:15.014Z","metadata":{"doi":"10.25504/FAIRsharing.ddmatg","name":"Ontology of Drug Neuropathy Adverse Events","status":"ready","contacts":[{"contact_name":"Yongqhun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/odnae/odnae","identifier":130,"description":"The Ontology of Drug Neuropathy Adverse Events (ODNAE) is an extension of OAE which serves as a knowledge base comprising drug components, chemical entities of active drug ingredients, drug mechanisms, and drug-inducing neuropathy AEs. ODNAE is a platform for building a drug-induced neuropathy knowledge base and for analyzing the underlying mechanisms of drug-induced neuropathy. The ODNAE-based methods used in this study can also be extended to the representation and study of other categories of adverse events.","abbreviation":"ODNAE","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ODNAE","name":"ODNAE","portal":"BioPortal"}]},"legacy_ids":["bsg-000939","bsg-s000939"],"name":"FAIRsharing record for: Ontology of Drug Neuropathy Adverse Events","abbreviation":"ODNAE","url":"https://fairsharing.org/10.25504/FAIRsharing.ddmatg","doi":"10.25504/FAIRsharing.ddmatg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Drug Neuropathy Adverse Events (ODNAE) is an extension of OAE which serves as a knowledge base comprising drug components, chemical entities of active drug ingredients, drug mechanisms, and drug-inducing neuropathy AEs. ODNAE is a platform for building a drug-induced neuropathy knowledge base and for analyzing the underlying mechanisms of drug-induced neuropathy. The ODNAE-based methods used in this study can also be extended to the representation and study of other categories of adverse events.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Adverse Reaction","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2211,"pubmed_id":27213033,"title":"Ontology-based collection, representation and analysis of drug-associated neuropathy adverse events.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0069-x","authors":"Guo A,Racz R,Hur J,Lin Y,Xiang Z,Zhao L,Rinder J,Jiang G,Zhu Q,He Y","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0069-x","created_at":"2021-09-30T08:26:29.215Z","updated_at":"2021-09-30T08:26:29.215Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":617,"relation":"undefined"}],"grants":[{"id":5131,"fairsharing_record_id":130,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:16.195Z","updated_at":"2021-09-30T09:27:16.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5133,"fairsharing_record_id":130,"organisation_id":2514,"relation":"maintains","created_at":"2021-09-30T09:27:16.274Z","updated_at":"2021-09-30T09:27:16.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":2514,"name":"School of Medicine and Health Sciences, University of North Dakota, Grand Forks, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5132,"fairsharing_record_id":130,"organisation_id":1798,"relation":"maintains","created_at":"2021-09-30T09:27:16.232Z","updated_at":"2021-09-30T09:27:16.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1798,"name":"Mayo Clinic, Rochester, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5134,"fairsharing_record_id":130,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:27:16.316Z","updated_at":"2021-09-30T09:27:16.316Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5135,"fairsharing_record_id":130,"organisation_id":3094,"relation":"maintains","created_at":"2021-09-30T09:27:16.353Z","updated_at":"2021-09-30T09:27:16.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":3094,"name":"University of Michigan Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"131","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.322Z","metadata":{"doi":"10.25504/FAIRsharing.wkh9j2","name":"nucleotide inFormation binary Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format8","identifier":131,"description":"The .nib format pre-dates the .2bit format and is less compact. It describes a DNA sequence by packing two bases into each byte.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000253","bsg-s000253"],"name":"FAIRsharing record for: nucleotide inFormation binary Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.wkh9j2","doi":"10.25504/FAIRsharing.wkh9j2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The .nib format pre-dates the .2bit format and is less compact. It describes a DNA sequence by packing two bases into each byte.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5136,"fairsharing_record_id":131,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.386Z","updated_at":"2021-09-30T09:27:16.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"132","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.386Z","metadata":{"doi":"10.25504/FAIRsharing.gnga3t","name":"Personal Genome SNP Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format10","identifier":132,"description":"This format is for displaying SNPs from personal genomes. It is the same as is used for the Genome Variants and Population Variants tracks.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000256","bsg-s000256"],"name":"FAIRsharing record for: Personal Genome SNP Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.gnga3t","doi":"10.25504/FAIRsharing.gnga3t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This format is for displaying SNPs from personal genomes. It is the same as is used for the Genome Variants and Population Variants tracks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Genotyping","Deoxyribonucleic acid","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5137,"fairsharing_record_id":132,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.409Z","updated_at":"2021-09-30T09:27:16.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"133","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.456Z","metadata":{"doi":"10.25504/FAIRsharing.m5swgj","name":"Protein InFormation Resource Format","status":"ready","contacts":[{"contact_name":"PIR staff","contact_email":"pirmail@georgetown.edu"}],"homepage":"http://emboss.sourceforge.net/docs/themes/seqformats/NbrfFormat.html","identifier":133,"description":"This PIR Database File Structure and Format Specification describes the files comprising the PIR-International Protein Sequence Database and the format of each. The format has been enhanced significantly for Release 39.00 to what is referred to as \"enhanced NBRF\" format.","abbreviation":"PIFRF","year_creation":1993},"legacy_ids":["bsg-000257","bsg-s000257"],"name":"FAIRsharing record for: Protein InFormation Resource Format","abbreviation":"PIFRF","url":"https://fairsharing.org/10.25504/FAIRsharing.m5swgj","doi":"10.25504/FAIRsharing.m5swgj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This PIR Database File Structure and Format Specification describes the files comprising the PIR-International Protein Sequence Database and the format of each. The format has been enhanced significantly for Release 39.00 to what is referred to as \"enhanced NBRF\" format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Japan","United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"134","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-07T08:24:42.547Z","metadata":{"doi":"10.25504/FAIRsharing.dxcrbg","name":"eXtensible Graph Markup and Modeling Language","status":"deprecated","contacts":[],"homepage":"http://www.cs.rpi.edu/research/groups/pb/punin/public_html/XGMML/","citations":[],"identifier":134,"description":"XGMML (eXtensible Graph Markup and Modeling Language) is an XML application based on GML which is used for graph description. XGMML uses tags to describe nodes and edges of a graph. The purpose of XGMML is to make possible the exchange of graphs between differents authoring and browsing tools for graphs. The status of this format is uncertain as the homepage is no longer accessible.","abbreviation":null,"support_links":[{"url":"info@cs.rpi.edu","type":"Support email"},{"url":"moorthy@cs.rpi.edu","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/XGMML","type":"Wikipedia"}],"year_creation":2000,"deprecation_date":"2023-04-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Archives are accessible here: https://web.archive.org/web/20140329092403/http://cgi5.cs.rpi.edu/research/groups/pb/punin/public_html/XGMML/. Please get in touch if you have any information."},"legacy_ids":["bsg-000272","bsg-s000272"],"name":"FAIRsharing record for: eXtensible Graph Markup and Modeling Language","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.dxcrbg","doi":"10.25504/FAIRsharing.dxcrbg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XGMML (eXtensible Graph Markup and Modeling Language) is an XML application based on GML which is used for graph description. XGMML uses tags to describe nodes and edges of a graph. The purpose of XGMML is to make possible the exchange of graphs between differents authoring and browsing tools for graphs. The status of this format is uncertain as the homepage is no longer accessible.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mathematical model","Network model","Graph","Enzymatic reaction","Protein","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5139,"fairsharing_record_id":134,"organisation_id":590,"relation":"maintains","created_at":"2021-09-30T09:27:16.463Z","updated_at":"2021-09-30T09:27:16.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":590,"name":"Computer Science Department, Rensselaer Polytechnic Institute, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"135","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:36.415Z","metadata":{"doi":"10.25504/FAIRsharing.chmyvk","name":"BLAST-like Alignment Tool Format","status":"ready","contacts":[{"contact_name":"W James Kent","contact_email":"kent@biology.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html#BLATAlign","identifier":135,"description":"BLAT is a multiple algorithms developed for the analysis and comparison of biological sequences such as DNA, RNA and proteins.","abbreviation":"BLAT Format","support_links":[{"url":"http://genome.ucsc.edu/FAQ/FAQblat.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://genome.ucsc.edu/FAQ/FAQblat.html#blat3","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-000259","bsg-s000259"],"name":"FAIRsharing record for: BLAST-like Alignment Tool Format","abbreviation":"BLAT Format","url":"https://fairsharing.org/10.25504/FAIRsharing.chmyvk","doi":"10.25504/FAIRsharing.chmyvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BLAT is a multiple algorithms developed for the analysis and comparison of biological sequences such as DNA, RNA and proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genetics","Computational Biology","Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Protein","Messenger RNA"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":203,"pubmed_id":11932250,"title":"BLAT--the BLAST-like alignment tool.","year":2002,"url":"http://doi.org/10.1101/gr.229202","authors":"Kent WJ.,","journal":"Genome Res.","doi":"10.1101/gr.229202","created_at":"2021-09-30T08:22:42.164Z","updated_at":"2021-09-30T08:22:42.164Z"}],"licence_links":[{"licence_name":"Kent Informatics License - required for commercial use","licence_id":478,"licence_url":"http://www.kentinformatics.com","link_id":20,"relation":"undefined"}],"grants":[{"id":5140,"fairsharing_record_id":135,"organisation_id":1118,"relation":"maintains","created_at":"2021-09-30T09:27:16.550Z","updated_at":"2021-09-30T09:27:16.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"136","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T19:33:12.000Z","updated_at":"2022-07-20T12:46:55.151Z","metadata":{"name":"Extensible HyperText Markup Language","status":"deprecated","contacts":[{"contact_name":"Steven Pemberton","contact_email":"Steven.Pemberton@cwi.nl"}],"homepage":"http://www.w3.org/TR/xhtml1","identifier":136,"description":"This specification defines the Second Edition of XHTML 1.0, a reformulation of HTML 4 as an XML 1.0 application, and three DTDs corresponding to the ones defined by HTML 4. The semantics of the elements and their attributes are defined in the W3C Recommendation for HTML 4. It is intended to be used as a language for content that is both XML-conforming and, if some simple guidelines are followed, operates in HTML 4 conforming user agents.","abbreviation":"XHTML","year_creation":2000,"deprecation_date":"2019-02-18","deprecation_reason":"This specification is a Superseded Recommendation. A newer specification exists that is recommended for new adoption in place of this specification."},"legacy_ids":["bsg-001242","bsg-s001242"],"name":"FAIRsharing record for: Extensible HyperText Markup Language","abbreviation":"XHTML","url":"https://fairsharing.org/fairsharing_records/136","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This specification defines the Second Edition of XHTML 1.0, a reformulation of HTML 4 as an XML 1.0 application, and three DTDs corresponding to the ones defined by HTML 4. The semantics of the elements and their attributes are defined in the W3C Recommendation for HTML 4. It is intended to be used as a language for content that is both XML-conforming and, if some simple guidelines are followed, operates in HTML 4 conforming user agents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":129,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"101","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:17:21.000Z","updated_at":"2022-10-10T19:32:33.579Z","metadata":{"doi":"10.25504/FAIRsharing.TrcBD2","name":"Chemistry vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/37T/en/","citations":[],"identifier":101,"description":"Controlled vocabulary used for indexing bibliographical records dealing with chemistry in the PASCAL database (1972-2015). It is aligned with the terms of the ChEBI (Chemical Entities of Biological Interest), RXNO (name reaction ontology), MOP (molecular process ontology), REX (Physico-chemical process), FIX (Physico-chemical methods and properties), ontologies and the terms of the IUPAC Gold Book. This resource contains 9150 entries in 2 languages (English and French) grouped under 21 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001411","bsg-s001411"],"name":"FAIRsharing record for: Chemistry vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.TrcBD2","doi":"10.25504/FAIRsharing.TrcBD2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records dealing with chemistry in the PASCAL database (1972-2015). It is aligned with the terms of the ChEBI (Chemical Entities of Biological Interest), RXNO (name reaction ontology), MOP (molecular process ontology), REX (Physico-chemical process), FIX (Physico-chemical methods and properties), ontologies and the terms of the IUPAC Gold Book. This resource contains 9150 entries in 2 languages (English and French) grouped under 21 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11292},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11741}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Organic Chemistry","Inorganic Molecular Chemistry","Organic Molecular Chemistry","Molecular Chemistry","Chemistry","Molecular Physical Chemistry","Theoretical Chemistry","Solid-State Chemistry","Physical Chemistry","Analytical Chemistry","Computational Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":196,"relation":"undefined"}],"grants":[{"id":5088,"fairsharing_record_id":101,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:14.314Z","updated_at":"2021-09-30T09:27:14.314Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5087,"fairsharing_record_id":101,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:14.273Z","updated_at":"2021-09-30T09:27:14.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"102","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:14.856Z","metadata":{"doi":"10.25504/FAIRsharing.zcfp65","name":"Biomedical Resource Ontology","status":"uncertain","contacts":[{"contact_name":"Jessie Tenenbaum","contact_email":"jessie.tenenbaum@duke.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/BRO","identifier":102,"description":"Biomedical Resource Ontology (BRO) enables semantic annotation and discovery of biomedical resources. The biomedical research community relies on a diverse set of resources, both within their own institutions and at other research centers. Without effective means to locate and query these resources, it is challenging, if not impossible, for investigators to be aware of the myriad resources available, or to effectively perform resource discovery when the need arises.","abbreviation":"BRO","support_links":[{"url":"http://groups.google.com/group/bro-discuss","type":"Forum"},{"url":"http://na-mic.org/Wiki/index.php/Biositemaps","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BRO","name":"BRO","portal":"BioPortal"}]},"legacy_ids":["bsg-000047","bsg-s000047"],"name":"FAIRsharing record for: Biomedical Resource Ontology","abbreviation":"BRO","url":"https://fairsharing.org/10.25504/FAIRsharing.zcfp65","doi":"10.25504/FAIRsharing.zcfp65","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biomedical Resource Ontology (BRO) enables semantic annotation and discovery of biomedical resources. The biomedical research community relies on a diverse set of resources, both within their own institutions and at other research centers. Without effective means to locate and query these resources, it is challenging, if not impossible, for investigators to be aware of the myriad resources available, or to effectively perform resource discovery when the need arises.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Social and Behavioural Science","Biomedical Science"],"domains":["Resource metadata"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1505,"pubmed_id":20955817,"title":"The Biomedical Resource Ontology (BRO) to enable resource discovery in clinical and translational research.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.10.003","authors":"Tenenbaum JD,Whetzel PL,Anderson K,Borromeo CD,Dinov ID,Gabriel D,Kirschner B,Mirel B,Morris T,Noy N,Nyulas C,Rubenson D,Saxman PR,Singh H,Whelan N,Wright Z,Athey BD,Becich MJ,Ginsburg GS,Musen MA,Smith KA,Tarantal AF,Rubin DL,Lyster P","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.10.003","created_at":"2021-09-30T08:25:08.487Z","updated_at":"2021-09-30T08:25:08.487Z"}],"licence_links":[],"grants":[{"id":5089,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:27:14.399Z","updated_at":"2021-09-30T09:29:09.536Z","grant_id":118,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR024146-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5090,"fairsharing_record_id":102,"organisation_id":1965,"relation":"funds","created_at":"2021-09-30T09:27:14.448Z","updated_at":"2021-09-30T09:29:17.001Z","grant_id":175,"is_lead":false,"saved_state":{"id":1965,"name":"National Center for Integrative Biomedical Informatics (NCBCS), Ann Arbor, MI, USA","grant":"3U54HG004028-04S1","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7880,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:29:23.330Z","updated_at":"2021-09-30T09:29:23.372Z","grant_id":226,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR024153-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7886,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:29:25.150Z","updated_at":"2021-09-30T09:29:25.203Z","grant_id":240,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"3UL1RR024153-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7996,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:30:18.235Z","updated_at":"2021-09-30T09:30:18.280Z","grant_id":646,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"5UL1RR024128-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8002,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:30:20.465Z","updated_at":"2021-09-30T09:30:20.509Z","grant_id":665,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR025008-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8272,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:31:51.674Z","updated_at":"2021-09-30T09:31:51.721Z","grant_id":1360,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR024986-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8337,"fairsharing_record_id":102,"organisation_id":1965,"relation":"funds","created_at":"2021-09-30T09:32:09.574Z","updated_at":"2021-09-30T09:32:09.627Z","grant_id":1494,"is_lead":false,"saved_state":{"id":1965,"name":"National Center for Integrative Biomedical Informatics (NCBCS), Ann Arbor, MI, USA","grant":"3U54DA021519-04S1","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"103","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.261Z","metadata":{"doi":"10.25504/FAIRsharing.vc9xtj","name":"General Formal Ontology: Biology","status":"ready","contacts":[{"contact_name":"Magnus Knuth","contact_email":"magnus.knuth@imise.uni-leipzig.de"}],"homepage":"http://www.onto-med.de/ontologies/gfo-bio/index.jsp","identifier":103,"description":"GFO-Bio is a biological core ontology based on the top-level ontology General Formal Ontology (GFO).","abbreviation":"GFO-BIO","support_links":[{"url":"https://lists.gnu.org/mailman/listinfo/gfo-users","type":"Mailing list"},{"url":"http://www.onto-med.de/ontologies/gfo/index.jsp#pubs","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GFO-BIO","name":"GFO-BIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002658","bsg-s002658"],"name":"FAIRsharing record for: General Formal Ontology: Biology","abbreviation":"GFO-BIO","url":"https://fairsharing.org/10.25504/FAIRsharing.vc9xtj","doi":"10.25504/FAIRsharing.vc9xtj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GFO-Bio is a biological core ontology based on the top-level ontology General Formal Ontology (GFO).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5091,"fairsharing_record_id":103,"organisation_id":1781,"relation":"maintains","created_at":"2021-09-30T09:27:14.485Z","updated_at":"2021-09-30T09:27:14.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":1781,"name":"Max Planck Institue for Evolutionary Anthropology, Leipzig, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5092,"fairsharing_record_id":103,"organisation_id":2250,"relation":"maintains","created_at":"2021-09-30T09:27:14.521Z","updated_at":"2021-09-30T09:27:14.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2250,"name":"Onto-Med Research Group, Universitat Leipzig, Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"104","type":"fairsharing_records","attributes":{"created_at":"2017-07-31T16:28:23.000Z","updated_at":"2021-11-24T13:16:12.429Z","metadata":{"doi":"10.25504/FAIRsharing.6945dq","name":"Common European Research project Information Format","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"eurocris@eurocris.org"}],"homepage":"http://www.eurocris.org/cerif/main-features-cerif","identifier":104,"description":"This standard allows for a metadata representation of research entities, their activities and interconnections, along with their output. This is captured in highly flexible formal (semantic) relationships, and enables quality maintenance, archiving, access and interchange of research information, so supporting knowledge transfer to decision makers, for research evaluation, research managers, strategists, researchers, editors and the general public.","abbreviation":"CERIF","year_creation":1991},"legacy_ids":["bsg-000716","bsg-s000716"],"name":"FAIRsharing record for: Common European Research project Information Format","abbreviation":"CERIF","url":"https://fairsharing.org/10.25504/FAIRsharing.6945dq","doi":"10.25504/FAIRsharing.6945dq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard allows for a metadata representation of research entities, their activities and interconnections, along with their output. This is captured in highly flexible formal (semantic) relationships, and enables quality maintenance, archiving, access and interchange of research information, so supporting knowledge transfer to decision makers, for research evaluation, research managers, strategists, researchers, editors and the general public.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12942},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13347}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Natural Science"],"domains":["Workflow","Curated information"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Researcher data"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":5093,"fairsharing_record_id":104,"organisation_id":902,"relation":"maintains","created_at":"2021-09-30T09:27:14.564Z","updated_at":"2021-09-30T09:27:14.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":902,"name":"EuroCRIS, Den Haag, the Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"105","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2021-11-24T13:15:37.357Z","metadata":{"doi":"10.25504/FAIRsharing.ca63ce","name":"Fern Ontology","status":"in_development","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"kwsm@dbcls.rois.ac.jp"}],"homepage":"http://bioportal.bioontology.org/ontologies/FO","identifier":105,"description":"Fern Ontology (FO) is a controlled and structured vocabulary of fern specific anatomy and lifecycle.","abbreviation":"FO","support_links":[{"url":"so@dbcls.rois.ac.jp","name":"Shinobu Okamoto","type":"Support email"},{"url":"akanegae@mail.ecc.u-tokyo.ac.jp","name":"Hiromi Kanegae","type":"Support email"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FO","name":"FO","portal":"BioPortal"}]},"legacy_ids":["bsg-000937","bsg-s000937"],"name":"FAIRsharing record for: Fern Ontology","abbreviation":"FO","url":"https://fairsharing.org/10.25504/FAIRsharing.ca63ce","doi":"10.25504/FAIRsharing.ca63ce","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Fern Ontology (FO) is a controlled and structured vocabulary of fern specific anatomy and lifecycle.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Plant Anatomy","Plant Cell Biology"],"domains":["Plant development stage"],"taxonomies":["Polypodiopsida"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[{"id":5094,"fairsharing_record_id":105,"organisation_id":645,"relation":"maintains","created_at":"2021-09-30T09:27:14.606Z","updated_at":"2021-09-30T09:27:14.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":645,"name":"Database Center for Life Science (DBCLS), Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"121","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-31T09:35:03.134Z","metadata":{"doi":"10.25504/FAIRsharing.fd28en","name":"macromolecular Crystallographic Information File","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"pdbx-mmcif-help@mail.wwpdb.org"}],"homepage":"https://mmcif.wwpdb.org/","citations":[{"doi":"10.1016/s0076-6879(97)77032-0","pubmed_id":18488325,"publication_id":1706}],"identifier":121,"description":"PDBx/mmCIF is a dictionary of data archiving macromolecule crystallographic experiments and their results.","abbreviation":"PDBx/mmCIF","support_links":[{"url":"http://mmcif.wwpdb.org/docs/faqs/pdbx-mmcif-faq-general.html","name":"PDBx/mmCIF FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mmcif.wwpdb.org/docs/pdb_to_pdbx_correspondences.html","name":"PDB to PDBx/mmCIF Data Item Correspondences","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Macromolecular_Crystallographic_Information_File","name":"mmCIF Wiki","type":"Wikipedia"},{"url":"https://mmcif.wwpdb.org/docs/tutorials/mechanics/pdbx-mmcif-syntax.html","name":"mmCIF Syntax","type":"Help documentation"},{"url":"https://mmcif.wwpdb.org/dictionaries/mmcif_pdbx_v50.dic/Index/","name":"Current PDBx/mmCIF Dictionary Index (version 5.0)","type":"Help documentation"}],"year_creation":1997,"associated_tools":[{"url":"http://ich.vscht.cz/projects/mmview/","name":"mmView"},{"url":"https://mmcif.wwpdb.org/docs/software-resources.html","name":"PDBx/mmCIF Software Resources"}]},"legacy_ids":["bsg-000290","bsg-s000290"],"name":"FAIRsharing record for: macromolecular Crystallographic Information File","abbreviation":"PDBx/mmCIF","url":"https://fairsharing.org/10.25504/FAIRsharing.fd28en","doi":"10.25504/FAIRsharing.fd28en","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBx/mmCIF is a dictionary of data archiving macromolecule crystallographic experiments and their results.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18240},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11185},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12104}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Molecular biology","Life Science","Biology"],"domains":["Molecular structure","Molecular entity","X-ray crystallography assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":14,"pubmed_id":10842738,"title":"STAR/mmCIF: an ontology for macromolecular structure.","year":2000,"url":"http://doi.org/10.1093/bioinformatics/16.2.159","authors":"Westbrook JD, Bourne PE","journal":"Bioinformatics","doi":"10.1093/bioinformatics/16.2.159","created_at":"2021-09-30T08:22:21.987Z","updated_at":"2021-09-30T08:22:21.987Z"},{"id":1706,"pubmed_id":18488325,"title":"Macromolecular Crystallographic Information File.","year":1997,"url":"http://doi.org/10.1016/s0076-6879(97)77032-0","authors":"Bourne PE,Berman HM,McMahon B,Watenpaugh KD,Westbrook JD,Fitzgerald PM","journal":"Methods Enzymol","doi":"10.1016/s0076-6879(97)77032-0","created_at":"2021-09-30T08:25:31.179Z","updated_at":"2021-09-30T08:25:31.179Z"}],"licence_links":[],"grants":[{"id":11066,"fairsharing_record_id":121,"organisation_id":1534,"relation":"maintains","created_at":"2023-10-30T21:14:38.116Z","updated_at":"2023-10-30T21:14:38.116Z","grant_id":null,"is_lead":true,"saved_state":{"id":1534,"name":"International Union of Crystallography (IUCr), Chester, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"122","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.603Z","metadata":{"doi":"10.25504/FAIRsharing.jx6ea0","name":"CLUSTAL-W Alignment Format","status":"ready","contacts":[{"contact_name":"Prof D.G. Higgins","contact_email":"des.higgins@ucd.ie"}],"homepage":"http://www.clustal.org/clustal2/","identifier":122,"description":"CLUSTAL-W Alignment Format is a simple text-based format, often with a *.aln file extension, used for the input and output of DNA or protein sequences into the Clustal suite of multiple alignment programs.","abbreviation":null,"support_links":[{"url":"clustalw@ucd.ie","name":"General Contact","type":"Support email"},{"url":"http://www.clustal.org/download/clustalw_help.txt","name":"ClustalW Help and Format","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/a-simple-phylogenetic-tree-construction-part-2","name":"A Simple Phylogenetic Tree Construction (part 2)","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/a-simple-phylogenetic-tree-construction-part-1","name":"A Simple Phylogenetic Tree Construction (part 1)","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/multiple-sequence-alignment-and-phylogeny-undergraduate-lab","name":"Multiple sequence alignment and phylogeny - undergraduate lab","type":"TeSS links to training materials"},{"url":"http://www.animalgenome.org/bioinfo/resources/manuals/clustalw.html","name":"Tutorial","type":"Training documentation"}],"year_creation":1993},"legacy_ids":["bsg-000223","bsg-s000223"],"name":"FAIRsharing record for: CLUSTAL-W Alignment Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jx6ea0","doi":"10.25504/FAIRsharing.jx6ea0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CLUSTAL-W Alignment Format is a simple text-based format, often with a *.aln file extension, used for the input and output of DNA or protein sequences into the Clustal suite of multiple alignment programs.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14558}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Biology"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Sequence alignment","Sequence","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Ireland"],"publications":[{"id":1690,"pubmed_id":7984417,"title":"CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.","year":1994,"url":"http://doi.org/10.1093/nar/22.22.4673","authors":"Thompson JD,Higgins DG,Gibson TJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/22.22.4673","created_at":"2021-09-30T08:25:29.401Z","updated_at":"2021-09-30T11:29:18.511Z"},{"id":2758,"pubmed_id":17846036,"title":"Clustal W and Clustal X version 2.0.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm404","authors":"Larkin MA,Blackshields G,Brown NP,Chenna R,McGettigan PA,McWilliam H,Valentin F,Wallace IM,Wilm A,Lopez R,Thompson JD,Gibson TJ,Higgins DG","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm404","created_at":"2021-09-30T08:27:38.980Z","updated_at":"2021-09-30T08:27:38.980Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":488,"relation":"undefined"}],"grants":[{"id":5122,"fairsharing_record_id":122,"organisation_id":2520,"relation":"maintains","created_at":"2021-09-30T09:27:15.802Z","updated_at":"2021-09-30T09:27:15.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":2520,"name":"Science Foundation Ireland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5120,"fairsharing_record_id":122,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:15.733Z","updated_at":"2021-09-30T09:27:15.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5121,"fairsharing_record_id":122,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:27:15.769Z","updated_at":"2021-09-30T09:27:15.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5123,"fairsharing_record_id":122,"organisation_id":608,"relation":"maintains","created_at":"2021-09-30T09:27:15.826Z","updated_at":"2021-09-30T09:27:15.826Z","grant_id":null,"is_lead":true,"saved_state":{"id":608,"name":"Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Ireland","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9253,"fairsharing_record_id":122,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.591Z","updated_at":"2022-04-11T12:07:25.591Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"123","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-23T17:48:27.368Z","metadata":{"doi":"10.25504/FAIRsharing.v32qa1","name":"Pre-Clustering File Format","status":"ready","contacts":[],"homepage":"https://puma.princeton.edu/help/formats.shtml#pcl","citations":[],"identifier":123,"description":"The PCL file format is a tab delimited file format that describes an expression dataset.","abbreviation":null,"support_links":[{"url":"http://yfgdb.princeton.edu/pcl_format.txt","type":"Help documentation"},{"url":"http://software.broadinstitute.org/cancer/software/gsea/wiki/index.php/Data_formats#PCL:_Stanford_cDNA_file_format_.28.2A.pcl.29","type":"Help documentation"},{"url":"https://puma.princeton.edu/index.shtml","name":"About PUMAdb","type":"Other"},{"url":"array@princeton.edu","type":"Support email"}]},"legacy_ids":["bsg-000245","bsg-s000245"],"name":"FAIRsharing record for: Pre-Clustering File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.v32qa1","doi":"10.25504/FAIRsharing.v32qa1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PCL file format is a tab delimited file format that describes an expression dataset.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"PUMAdb Privacy Policy","licence_id":690,"licence_url":"https://puma.princeton.edu/privacy.shtml","link_id":3104,"relation":"applies_to_content"}],"grants":[{"id":10378,"fairsharing_record_id":123,"organisation_id":2357,"relation":"maintains","created_at":"2023-02-23T15:52:16.207Z","updated_at":"2023-02-23T15:52:40.214Z","grant_id":null,"is_lead":true,"saved_state":{"id":2357,"name":"Princeton University, NJ, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"124","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T13:11:28.000Z","updated_at":"2023-09-29T11:54:58.788Z","metadata":{"doi":"10.25504/FAIRsharing.f66eb8","name":"Information technology -- Topic Maps -- Part 2: Data model","status":"ready","contacts":[],"homepage":"https://www.iso.org/standard/40017.html","citations":[],"identifier":124,"description":"ISO/IEC 13250-2:2006 specifies the Topic Maps data model. It defines the abstract structure and interpretation of topic maps, the rules for merging topic maps and a set of fundamental subject identifiers. The purpose of the data model is to define the interpretation of the Topic Maps interchange syntax, and to serve as a foundation for the definition of additional supporting standards including those for canonicalization, querying, and constraints.","abbreviation":"ISO/IEC 13250-2:2006","support_links":[{"url":"https://www.iso.org/contents/data/standard/04/00/40017.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2006},"legacy_ids":["bsg-001281","bsg-s001281"],"name":"FAIRsharing record for: Information technology -- Topic Maps -- Part 2: Data model","abbreviation":"ISO/IEC 13250-2:2006","url":"https://fairsharing.org/10.25504/FAIRsharing.f66eb8","doi":"10.25504/FAIRsharing.f66eb8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO/IEC 13250-2:2006 specifies the Topic Maps data model. It defines the abstract structure and interpretation of topic maps, the rules for merging topic maps and a set of fundamental subject identifiers. The purpose of the data model is to define the interpretation of the Topic Maps interchange syntax, and to serve as a foundation for the definition of additional supporting standards including those for canonicalization, querying, and constraints.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":546,"relation":"undefined"}],"grants":[{"id":5125,"fairsharing_record_id":124,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:27:15.890Z","updated_at":"2021-09-30T09:27:15.890Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10925,"fairsharing_record_id":124,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:17:01.491Z","updated_at":"2023-09-27T14:17:01.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"116","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-15T09:50:45.755Z","metadata":{"doi":"10.25504/FAIRsharing.mwmbpq","name":"Browser Extensible Data Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"https://samtools.github.io/hts-specs/","citations":[],"identifier":116,"description":"BED (Browser Extensible Data) format provides a flexible way to define the data lines that are displayed in an genome annotation track. BED lines have three required fields and nine additional optional fields. The number of fields per line must be consistent throughout any single set of data in an annotation track. The order of the optional fields is binding: lower-numbered fields must always be populated if higher-numbered fields are used.","abbreviation":"BED","support_links":[{"url":"http://genome.ucsc.edu/FAQ/FAQformat.html#format1","name":"General description of format","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/BED_(file_format)","name":"BED Format on Wikipedia","type":"Wikipedia"},{"url":"https://github.com/samtools/hts-specs","name":"GitHub Repository","type":"Github"}]},"legacy_ids":["bsg-000211","bsg-s000211"],"name":"FAIRsharing record for: Browser Extensible Data Format","abbreviation":"BED","url":"https://fairsharing.org/10.25504/FAIRsharing.mwmbpq","doi":"10.25504/FAIRsharing.mwmbpq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BED (Browser Extensible Data) format provides a flexible way to define the data lines that are displayed in an genome annotation track. BED lines have three required fields and nine additional optional fields. The number of fields per line must be consistent throughout any single set of data in an annotation track. The order of the optional fields is binding: lower-numbered fields must always be populated if higher-numbered fields are used.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11167},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12006},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12440}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5114,"fairsharing_record_id":116,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:15.473Z","updated_at":"2021-09-30T09:27:15.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11090,"fairsharing_record_id":116,"organisation_id":2887,"relation":"maintains","created_at":"2023-11-15T09:41:23.988Z","updated_at":"2023-11-15T09:41:23.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":11092,"fairsharing_record_id":116,"organisation_id":116,"relation":"maintains","created_at":"2023-11-15T09:42:26.103Z","updated_at":"2023-11-15T09:42:26.103Z","grant_id":null,"is_lead":true,"saved_state":{"id":116,"name":"Global Alliance for Genomics and Health","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11091,"fairsharing_record_id":116,"organisation_id":4172,"relation":"maintains","created_at":"2023-11-15T09:41:23.989Z","updated_at":"2023-11-15T09:41:23.989Z","grant_id":null,"is_lead":true,"saved_state":{"id":4172,"name":"Samtools","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"117","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.940Z","metadata":{"doi":"10.25504/FAIRsharing.p7yp7c","name":"Affymetrix Raw Intensity Format","status":"ready","homepage":"http://www.affymetrix.com/estore/support/developer/powertools/changelog/gcos-agcc/cel.html.affx","identifier":117,"description":"The CEL file stores the results of the intensity calculations on the pixel values of the DAT file. This includes an intensity value, standard deviation of the intensity, the number of pixels used to calculate the intensity value, a flag to indicate an outlier as calculated by the algorithm and a user defined flag indicating the feature should be excluded from future analysis. The file stores the previously stated data for each feature on the probe array.","abbreviation":null,"support_links":[{"url":"http://www.affymetrix.com/estore/browse/tech_support.jsp","type":"Contact form"}],"year_creation":2009},"legacy_ids":["bsg-000219","bsg-s000219"],"name":"FAIRsharing record for: Affymetrix Raw Intensity Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.p7yp7c","doi":"10.25504/FAIRsharing.p7yp7c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CEL file stores the results of the intensity calculations on the pixel values of the DAT file. This includes an intensity value, standard deviation of the intensity, the number of pixels used to calculate the intensity value, a flag to indicate an outlier as calculated by the algorithm and a user defined flag indicating the feature should be excluded from future analysis. The file stores the previously stated data for each feature on the probe array.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"118","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-16T15:06:09.559Z","metadata":{"doi":"10.25504/FAIRsharing.7hp91k","name":"CHARMM Card File Format","status":"ready","contacts":[{"contact_name":"Michael Feig","contact_email":"feig@msu.edu"}],"homepage":"https://www.charmm.org/archive/charmm/documentation/by-version/c45b1/io.html","citations":[],"identifier":118,"description":"CHARMM (Chemistry at HARvard Macromolecular Mechanics) is a computational package used for classical, quantum and hybrid quantum/classical simulations. The CHARMM Card File Format (.CRD) stores the standard Cartesian coordinates of the atoms in the system and keeps track of additional molecule information that can be useful for manipulation (i.e. residue name, segment name, segment id, resdiue id, etc.).","abbreviation":"CRD","support_links":[{"url":"charmm_development_project@tammy.harvard.edu","type":"Support email"},{"url":"https://charmm-gui.org/charmmdoc/io.html","type":"Help documentation"}]},"legacy_ids":["bsg-000217","bsg-s000217"],"name":"FAIRsharing record for: CHARMM Card File Format","abbreviation":"CRD","url":"https://fairsharing.org/10.25504/FAIRsharing.7hp91k","doi":"10.25504/FAIRsharing.7hp91k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CHARMM (Chemistry at HARvard Macromolecular Mechanics) is a computational package used for classical, quantum and hybrid quantum/classical simulations. The CHARMM Card File Format (.CRD) stores the standard Cartesian coordinates of the atoms in the system and keeps track of additional molecule information that can be useful for manipulation (i.e. residue name, segment name, segment id, resdiue id, etc.).","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11716}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Atomic coordinate","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1692,"pubmed_id":null,"title":"CHARMM: A program for macromolecular energy, minimization, and dynamics calculations","year":1983,"url":"http://doi.org/10.1002/jcc.540040211","authors":"Bernard R. Brooks, Robert E. Bruccoleri, Barry D. Olafson, David J. States, S. Swaminathan, Martin Karplus","journal":"Journal of Computational Chemistry","doi":"10.1002/jcc.540040211","created_at":"2021-09-30T08:25:29.620Z","updated_at":"2021-09-30T08:25:29.620Z"},{"id":1693,"pubmed_id":null,"title":"CHARMM: The Energy Function and Its Parameterization","year":2002,"url":"http://doi.org/10.1002/0470845015.cfa007","authors":"Alexander D. MacKerell Jr., Bernard Brooks, Charles L. Brooks III, Lennart Nilsson, Benoit Roux, Youngdo Won, Martin Karplus,","journal":"Encyclopedia of Computational Chemistry","doi":"10.1002/0470845015.cfa007","created_at":"2021-09-30T08:25:29.733Z","updated_at":"2021-09-30T08:25:29.733Z"}],"licence_links":[],"grants":[{"id":5115,"fairsharing_record_id":118,"organisation_id":496,"relation":"maintains","created_at":"2021-09-30T09:27:15.512Z","updated_at":"2021-09-30T09:27:15.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":496,"name":"CHARMM","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"114","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:46:16.319Z","metadata":{"doi":"10.25504/FAIRsharing.r2ts5t","name":"FASTQ Sequence and Sequence Quality Format","status":"ready","contacts":[],"homepage":"http://news.open-bio.org/news/2009/12/nar-fastq-format/","citations":[],"identifier":114,"description":"FASTQ is a text-based file format for sharing sequencing data combining both the sequence and an associated per base quality score.","abbreviation":null,"year_creation":2008},"legacy_ids":["bsg-000229","bsg-s000229"],"name":"FAIRsharing record for: FASTQ Sequence and Sequence Quality Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.r2ts5t","doi":"10.25504/FAIRsharing.r2ts5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FASTQ is a text-based file format for sharing sequencing data combining both the sequence and an associated per base quality score.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18271},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11166},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11861},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12005},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16919}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["Experimental measurement","Deoxyribonucleic acid","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1696,"pubmed_id":20015970,"title":"The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1137","authors":"Cock PJ,Fields CJ,Goto N,Heuer ML,Rice PM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1137","created_at":"2021-09-30T08:25:30.102Z","updated_at":"2021-09-30T11:29:18.702Z"}],"licence_links":[],"grants":[{"id":5109,"fairsharing_record_id":114,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:15.273Z","updated_at":"2021-09-30T09:29:12.277Z","grant_id":138,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/D018358/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5107,"fairsharing_record_id":114,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:15.151Z","updated_at":"2021-09-30T09:27:15.151Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7985,"fairsharing_record_id":114,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:15.594Z","updated_at":"2021-09-30T09:30:15.651Z","grant_id":625,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBR/G02264X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9252,"fairsharing_record_id":114,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.538Z","updated_at":"2022-04-11T12:07:25.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"115","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.865Z","metadata":{"doi":"10.25504/FAIRsharing.wjwb5c","name":"CHADO XML","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@gmod.org"}],"homepage":"http://gmod.org/wiki/Chado_XML","identifier":115,"description":"Chado is a modular schema covering many aspects of biology, not just sequence data. Chado-XML has exactly the same scope as the Chado schema.","abbreviation":"CHADO XML","support_links":[{"url":"http://gmod.org/wiki/Chado_FAQ","type":"Frequently Asked Questions (FAQs)"}]},"legacy_ids":["bsg-000220","bsg-s000220"],"name":"FAIRsharing record for: CHADO XML","abbreviation":"CHADO XML","url":"https://fairsharing.org/10.25504/FAIRsharing.wjwb5c","doi":"10.25504/FAIRsharing.wjwb5c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chado is a modular schema covering many aspects of biology, not just sequence data. Chado-XML has exactly the same scope as the Chado schema.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1705,"pubmed_id":18428772,"title":"Using Chado to store genome annotation data.","year":2008,"url":"http://doi.org/10.1002/0471250953.bi0906s12","authors":"Zhou P,Emmert D,Zhang P","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0906s12","created_at":"2021-09-30T08:25:31.070Z","updated_at":"2021-09-30T08:25:31.070Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License","licence_id":353,"licence_url":"http://www.gnu.org/licenses/fdl-1.3.html","link_id":579,"relation":"undefined"}],"grants":[{"id":5110,"fairsharing_record_id":115,"organisation_id":1102,"relation":"maintains","created_at":"2021-09-30T09:27:15.310Z","updated_at":"2021-09-30T09:27:15.310Z","grant_id":null,"is_lead":false,"saved_state":{"id":1102,"name":"Generic Model Organisms Database (GMOD)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5112,"fairsharing_record_id":115,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:27:15.390Z","updated_at":"2021-09-30T09:27:15.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5113,"fairsharing_record_id":115,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:15.432Z","updated_at":"2021-09-30T09:27:15.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5111,"fairsharing_record_id":115,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:15.348Z","updated_at":"2021-09-30T09:29:52.554Z","grant_id":446,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"5U24GM077905-0","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8101,"fairsharing_record_id":115,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:58.163Z","updated_at":"2021-09-30T09:30:58.217Z","grant_id":958,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1R01HG004483-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"112","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.595Z","metadata":{"doi":"10.25504/FAIRsharing.665mts","name":"Big Browser Extensible Data Format","status":"ready","contacts":[{"contact_name":"Donna Karolchik","contact_email":"donnak@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigBed.html","identifier":112,"description":"The bigBed format stores annotation items that can either be simple, or a linked collection of exons, much as BED files do. BigBed files are created initially from BED type files, using the program bedToBigBed. The resulting bigBed files are in an indexed binary format. The main advantage of the bigBed files is that only the portions of the files needed to display a particular region are transferred to UCSC, so for large data sets bigBed is considerably faster than regular BED files.","abbreviation":"BigBed","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"},{"url":"genome@soe.ucsc.edu","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-000212","bsg-s000212"],"name":"FAIRsharing record for: Big Browser Extensible Data Format","abbreviation":"BigBed","url":"https://fairsharing.org/10.25504/FAIRsharing.665mts","doi":"10.25504/FAIRsharing.665mts","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigBed format stores annotation items that can either be simple, or a linked collection of exons, much as BED files do. BigBed files are created initially from BED type files, using the program bedToBigBed. The resulting bigBed files are in an indexed binary format. The main advantage of the bigBed files is that only the portions of the files needed to display a particular region are transferred to UCSC, so for large data sets bigBed is considerably faster than regular BED files.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11995}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1760,"pubmed_id":24227676,"title":"Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt637","authors":"Raney BJ,Dreszer TR,Barber GP,Clawson H,Fujita PA,Wang T,Nguyen N,Paten B,Zweig AS,Karolchik D,Kent WJ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt637","created_at":"2021-09-30T08:25:37.489Z","updated_at":"2021-09-30T08:25:37.489Z"},{"id":1761,"pubmed_id":20639541,"title":"BigWig and BigBed: enabling browsing of large distributed datasets.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq351","authors":"Kent WJ,Zweig AS,Barber G,Hinrichs AS,Karolchik D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq351","created_at":"2021-09-30T08:25:37.597Z","updated_at":"2021-09-30T08:25:37.597Z"}],"licence_links":[],"grants":[{"id":8363,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:15.575Z","updated_at":"2021-09-30T09:32:15.619Z","grant_id":1537,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"P41HG002371","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5104,"fairsharing_record_id":112,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:15.037Z","updated_at":"2021-09-30T09:27:15.037Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5105,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:15.082Z","updated_at":"2021-09-30T09:31:41.336Z","grant_id":1284,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5P41HG002371-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5103,"fairsharing_record_id":112,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:14.998Z","updated_at":"2021-09-30T09:29:09.117Z","grant_id":115,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U01ES017154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8318,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:03.501Z","updated_at":"2021-09-30T09:32:03.561Z","grant_id":1449,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U41HG004568-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8482,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:50.869Z","updated_at":"2021-09-30T09:32:50.928Z","grant_id":1804,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41HG004568","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8486,"fairsharing_record_id":112,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:51.786Z","updated_at":"2021-09-30T09:32:51.837Z","grant_id":1810,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HG007354","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"113","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:39.940Z","metadata":{"doi":"10.25504/FAIRsharing.dyqz3y","name":"Ascomycete Phenotype Ontology","status":"ready","contacts":[{"contact_name":"J. Michael Cherry","contact_email":"cherry@stanford.edu","contact_orcid":"0000-0001-9163-5180"}],"homepage":"http://bioportal.bioontology.org/ontologies/APO?p=summary","identifier":113,"description":"Ascomycete Phenotype Ontology is a structured controlled vocabulary for the phenotypes of Ascomycete fungi.","abbreviation":"APO","support_links":[{"url":"sgd-helpdesk@lists.stanford.edu","type":"Support email"},{"url":"https://twitter.com/yeastgenome","type":"Twitter"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/APO","name":"APO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/apo.html","name":"apo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000128","bsg-s000128"],"name":"FAIRsharing record for: Ascomycete Phenotype Ontology","abbreviation":"APO","url":"https://fairsharing.org/10.25504/FAIRsharing.dyqz3y","doi":"10.25504/FAIRsharing.dyqz3y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ascomycete Phenotype Ontology is a structured controlled vocabulary for the phenotypes of Ascomycete fungi.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Cell Biology"],"domains":["Mutation","Study design","Phenotype","Morphology","Life cycle stage"],"taxonomies":["Ascomycota"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5106,"fairsharing_record_id":113,"organisation_id":2479,"relation":"maintains","created_at":"2021-09-30T09:27:15.119Z","updated_at":"2021-09-30T09:27:15.119Z","grant_id":null,"is_lead":false,"saved_state":{"id":2479,"name":"Saccharomyces Genome Database","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"119","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T11:14:03.293Z","metadata":{"doi":"10.25504/FAIRsharing.qw67v6","name":"Adverse Drug Reaction Markup Language","status":"deprecated","contacts":[],"homepage":"https://www.euadr-project.org","citations":[],"identifier":119,"description":"The Adverse Drug Reaction Markup Language (EU-ADR ML) was created to as part of the EU-ADR project. The ultimate aim of this project was to develop an innovative approach to the early detection of adverse drug reactions. The status of this format is uncertain as FAIRsharing cannot find documentation for the format itself beyond what is available in this record.","abbreviation":"EU-ADR ML","support_links":[{"url":"https://bioinformatics.ua.pt/euadr/public/guide.pdf","type":"Help documentation"},{"url":"http://sourceforge.net/projects/cml/","type":"Help documentation"}],"deprecation_date":"2023-03-23","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000224","bsg-s000224"],"name":"FAIRsharing record for: Adverse Drug Reaction Markup Language","abbreviation":"EU-ADR ML","url":"https://fairsharing.org/10.25504/FAIRsharing.qw67v6","doi":"10.25504/FAIRsharing.qw67v6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adverse Drug Reaction Markup Language (EU-ADR ML) was created to as part of the EU-ADR project. The ultimate aim of this project was to develop an innovative approach to the early detection of adverse drug reactions. The status of this format is uncertain as FAIRsharing cannot find documentation for the format itself beyond what is available in this record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Pharmacy","Pharmacology"],"domains":["Drug","Electronic health record","Adverse Reaction","Disease","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":2106,"pubmed_id":19745234,"title":"The EU-ADR project: preliminary results and perspective.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19745234","authors":"Trifiro G,Fourrier-Reglat A,Sturkenboom MC,Diaz Acedo C,Van Der Lei J","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-60750-043-8-43","created_at":"2021-09-30T08:26:17.365Z","updated_at":"2021-09-30T08:26:17.365Z"}],"licence_links":[],"grants":[{"id":5116,"fairsharing_record_id":119,"organisation_id":890,"relation":"funds","created_at":"2021-09-30T09:27:15.544Z","updated_at":"2021-09-30T09:27:15.544Z","grant_id":null,"is_lead":false,"saved_state":{"id":890,"name":"EU FP7 EU-ADR","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"144","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-03-03T09:45:46.271Z","metadata":{"doi":"10.25504/FAIRsharing.4xrzw1","name":"Dot Bracket Notation (DBN) - Vienna Format","status":"deprecated","contacts":[{"contact_name":"Contact","contact_email":"rna@tbi.univie.ac.at"}],"homepage":"https://www.tbi.univie.ac.at/RNA/ViennaRNA/doc/html/rna_structure_notations.html#dot-bracket-notation","citations":[],"identifier":144,"description":"The bracket notation for RNA secondary structures Pseudo-knot free secondary structures can be represented in the space-efficient bracket notation, which is used throughout the Vienna RNA package.","abbreviation":"DBN","deprecation_date":"2022-03-03","deprecation_reason":"This ontology is inactive. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000296","bsg-s000296"],"name":"FAIRsharing record for: Dot Bracket Notation (DBN) - Vienna Format","abbreviation":"DBN","url":"https://fairsharing.org/10.25504/FAIRsharing.4xrzw1","doi":"10.25504/FAIRsharing.4xrzw1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bracket notation for RNA secondary structures Pseudo-knot free secondary structures can be represented in the space-efficient bracket notation, which is used throughout the Vienna RNA package.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12088}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":1710,"pubmed_id":18428716,"title":"RNA secondary structure analysis using the Vienna RNA package.","year":2008,"url":"http://doi.org/10.1002/0471250953.bi1202s04","authors":"Hofacker IL","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi1202s04","created_at":"2021-09-30T08:25:31.612Z","updated_at":"2021-09-30T08:25:31.612Z"}],"licence_links":[],"grants":[{"id":5154,"fairsharing_record_id":144,"organisation_id":1397,"relation":"maintains","created_at":"2021-09-30T09:27:17.049Z","updated_at":"2021-09-30T09:27:17.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1397,"name":"Institute for Theoretical Chemistry, Vienna, Austria","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"145","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T09:27:55.914Z","metadata":{"doi":"10.25504/FAIRsharing.xvsv9z","name":"Biospecimen Reporting for Improved Study Quality","status":"ready","contacts":[{"contact_name":"Andrea Kelly","contact_email":"kellya2@mail.nih.gov"}],"homepage":"https://www.equator-network.org/reporting-guidelines/brisq/","citations":[],"identifier":145,"description":"The Biospecimen Reporting for Improved Study Quality (BRISQ) recommendations outlined are intended to apply to any study in which human biospecimens are used. The BRISQ guidelines are proposed as an important and timely resource tool to strengthen communication and publications around biospecimen-related research and help reassure patient contributors and the advocacy community that the contributions are valued and respected. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available.","abbreviation":"BRISQ"},"legacy_ids":["bsg-000550","bsg-s000550"],"name":"FAIRsharing record for: Biospecimen Reporting for Improved Study Quality","abbreviation":"BRISQ","url":"https://fairsharing.org/10.25504/FAIRsharing.xvsv9z","doi":"10.25504/FAIRsharing.xvsv9z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biospecimen Reporting for Improved Study Quality (BRISQ) recommendations outlined are intended to apply to any study in which human biospecimens are used. The BRISQ guidelines are proposed as an important and timely resource tool to strengthen communication and publications around biospecimen-related research and help reassure patient contributors and the advocacy community that the contributions are valued and respected. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12054},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12481}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Preclinical Studies"],"domains":["Biobank","Quality control","Biological sample"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","France","Netherlands","United States"],"publications":[{"id":615,"pubmed_id":21574648,"title":"Biospecimen reporting for improved study quality (BRISQ)","year":2011,"url":"http://doi.org/10.1021/pr200021n","authors":"Moore HM, Kelly AB, Jewell SD, McShane LM, Clark DP, Greenspan R, Hayes DF, Hainaut P, Kim P, Mansfield E, Potapova O, Riegman P, Rubinstein Y, Seijo E, Somiari S, Watson P, Weier HU, Zhu C, Vaught J.","journal":"J Proteome Res.","doi":"10.1021/pr200021n","created_at":"2021-09-30T08:23:27.593Z","updated_at":"2021-09-30T08:23:27.593Z"}],"licence_links":[],"grants":[{"id":5156,"fairsharing_record_id":145,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:17.127Z","updated_at":"2021-09-30T09:31:09.483Z","grant_id":1044,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001E","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5155,"fairsharing_record_id":145,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:27:17.091Z","updated_at":"2021-09-30T09:27:17.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5157,"fairsharing_record_id":145,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:17.167Z","updated_at":"2021-09-30T09:30:42.740Z","grant_id":834,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"CA136685","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"146","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-07-20T12:28:43.081Z","metadata":{"doi":"10.25504/FAIRsharing.spjjv8","name":"Functional Therapeutic Chemical Classification System","status":"ready","contacts":[{"contact_name":"Samuel Croset","contact_email":"samuel.croset@gmail.com"}],"homepage":"https://github.com/loopasam/ftc","citations":[{"doi":"10.1093/bioinformatics/btt628","pubmed_id":24177719,"publication_id":2338}],"identifier":146,"description":"The Functional Therapeutic Chemical Classification System (FTC) defines over 20,000 mechanisms and modes of action for approved drugs. The resource abstracts away from the traditional chemical structure-based approach and focuses solely on the mode of action of drugs. The classification sorts therapeutic agents based on their function in the human body. Please note that this resource is no longer actively maintained (source: https://github.com/loopasam/ftc/issues/1).","abbreviation":"FTC","support_links":[{"url":"https://github.com/loopasam/ftc/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FTC","name":"FTC","portal":"BioPortal"}]},"legacy_ids":["bsg-000851","bsg-s000851"],"name":"FAIRsharing record for: Functional Therapeutic Chemical Classification System","abbreviation":"FTC","url":"https://fairsharing.org/10.25504/FAIRsharing.spjjv8","doi":"10.25504/FAIRsharing.spjjv8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Functional Therapeutic Chemical Classification System (FTC) defines over 20,000 mechanisms and modes of action for approved drugs. The resource abstracts away from the traditional chemical structure-based approach and focuses solely on the mode of action of drugs. The classification sorts therapeutic agents based on their function in the human body. Please note that this resource is no longer actively maintained (source: https://github.com/loopasam/ftc/issues/1).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18261}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Repositioning"],"domains":["Drug","Classification","Approved drug"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2338,"pubmed_id":24177719,"title":"The functional therapeutic chemical classification system.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt628","authors":"Croset S,Overington JP,Rebholz-Schuhmann D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt628","created_at":"2021-09-30T08:26:47.152Z","updated_at":"2021-09-30T08:26:47.152Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":292,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":400,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":402,"relation":"undefined"}],"grants":[{"id":5159,"fairsharing_record_id":146,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:17.245Z","updated_at":"2021-09-30T09:27:17.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5158,"fairsharing_record_id":146,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:17.209Z","updated_at":"2021-09-30T09:27:17.209Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"158","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:56.589Z","metadata":{"doi":"10.25504/FAIRsharing.17zapb","name":"Xenopus Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Erik Segerdell","contact_email":"segerdel@ohsu.edu","contact_orcid":"0000-0002-9611-1279"}],"homepage":"http://www.xenbase.org/anatomy/xao.do?method=display","citations":[],"identifier":158,"description":"The Xenopus Anatomical Ontology (XAO) describes Xenopus anatomy and embryological development using a 'controlled vocabulary' of anatomy terms that are organized in an hierarchy with a graphical structure. XAO terms describe gene expression, and the XAO is constantly being updated in response to the latest published Xenopus research.","abbreviation":"XAO","support_links":[{"url":"xenbase@ucalgary.ca","name":"General contact","type":"Support email"},{"url":"http://www.xenbase.org/geneExpression/static/XpatSearchTips/XpatSearchTips.jsp#Anatomy","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/XAO","name":"XAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/xao.html","name":"xao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000034","bsg-s000034"],"name":"FAIRsharing record for: Xenopus Anatomy Ontology","abbreviation":"XAO","url":"https://fairsharing.org/10.25504/FAIRsharing.17zapb","doi":"10.25504/FAIRsharing.17zapb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Xenopus Anatomical Ontology (XAO) describes Xenopus anatomy and embryological development using a 'controlled vocabulary' of anatomy terms that are organized in an hierarchy with a graphical structure. XAO terms describe gene expression, and the XAO is constantly being updated in response to the latest published Xenopus research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Morphology","Structure","Life cycle","Life cycle stage"],"taxonomies":["Xenopus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":970,"pubmed_id":24139024,"title":"Enhanced XAO: the ontology of Xenopus anatomy and development underpins more accurate annotation of gene expression and queries on Xenbase.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-31","authors":"Segerdell E,Ponferrada VG,James-Zorn C,Burns KA,Fortriede JD,Dahdul WM,Vize PD,Zorn AM","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-31","created_at":"2021-09-30T08:24:07.313Z","updated_at":"2021-09-30T08:24:07.313Z"},{"id":1039,"pubmed_id":18817563,"title":"An ontology for Xenopus anatomy and development.","year":2008,"url":"http://doi.org/10.1186/1471-213X-8-92","authors":"Segerdell E,Bowes JB,Pollet N,Vize PD","journal":"BMC Dev Biol","doi":"10.1186/1471-213X-8-92","created_at":"2021-09-30T08:24:15.040Z","updated_at":"2021-09-30T08:24:15.040Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1612,"relation":"undefined"}],"grants":[{"id":5183,"fairsharing_record_id":158,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:18.103Z","updated_at":"2021-09-30T09:29:16.426Z","grant_id":170,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HD045776-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5181,"fairsharing_record_id":158,"organisation_id":3264,"relation":"maintains","created_at":"2021-09-30T09:27:18.053Z","updated_at":"2021-09-30T09:27:18.053Z","grant_id":null,"is_lead":false,"saved_state":{"id":3264,"name":"Xenbase administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5182,"fairsharing_record_id":158,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:27:18.077Z","updated_at":"2021-09-30T09:32:07.064Z","grant_id":1476,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"P41 HD064556","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"159","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:23.915Z","metadata":{"doi":"10.25504/FAIRsharing.vywjrq","name":"New Taxonomy database","status":"deprecated","contacts":[{"contact_name":"Maria-Jesus Martin","contact_email":"support@ebi.ac.uk"}],"homepage":"http://www.uniprot.org/taxonomy/","citations":[{"doi":"10.1093/nar/gkg516","pubmed_id":12824428,"publication_id":2440}],"identifier":159,"description":"While the original homepage was http://www.ebi.ac.uk/newt/, this link no longer works as NEWT is deprecated. Therefore, to have a valid homepage, a link has been provided to the resource that should be used instead.","abbreviation":"NEWT","year_creation":2002,"deprecation_date":"2015-04-21","deprecation_reason":"This resource is obsolete and has been deprecated by its developers."},"legacy_ids":["bsg-000295","bsg-s000295"],"name":"FAIRsharing record for: New Taxonomy database","abbreviation":"NEWT","url":"https://fairsharing.org/10.25504/FAIRsharing.vywjrq","doi":"10.25504/FAIRsharing.vywjrq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: While the original homepage was http://www.ebi.ac.uk/newt/, this link no longer works as NEWT is deprecated. Therefore, to have a valid homepage, a link has been provided to the resource that should be used instead.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2440,"pubmed_id":12824428,"title":"NEWT, a new taxonomy portal.","year":2003,"url":"http://doi.org/10.1093/nar/gkg516","authors":"Phan IQ,Pilbout SF,Fleischmann W,Bairoch A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg516","created_at":"2021-09-30T08:26:59.308Z","updated_at":"2021-09-30T11:29:35.994Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":498,"relation":"undefined"}],"grants":[{"id":5184,"fairsharing_record_id":159,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:18.127Z","updated_at":"2021-09-30T09:27:18.127Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9228,"fairsharing_record_id":159,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.902Z","updated_at":"2022-04-11T12:07:23.902Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"160","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-08T07:25:39.704Z","metadata":{"doi":"10.25504/FAIRsharing.21gwxs","name":"WHO Adverse Reaction Terminology","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"support@who.int"}],"homepage":"https://who-umc.org/vigibase/vigibase-services/who-art/","citations":[],"identifier":160,"description":"The World Health Organization Adverse Drug Reaction Terminology (WHO-ART) was developed and maintained by the WHO Collaborating Centre for International Drug Monitoring Uppsala Monitoring Centre (UMC). The WHO-ART collection is used for coding clinical information related to adverse drug reactions as a standardization collection of vocabulary/terminology for adverse reactions. ","abbreviation":"WHO-ART","support_links":[{"url":"https://who-umc.org/contact-information/help-and-support/","name":"User Request Form","type":"Contact form"}],"year_creation":1997,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WHO-ART","name":"WHO-ART","portal":"BioPortal"},{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/WHO/index.html","name":"UMLS Vocabularies","portal":"Other"}],"deprecation_date":"2023-08-07","deprecation_reason":"The WHO Adverse Reaction Terminology (WHO-ART) is a legacy UMC coding service tool that is no longer actively maintained and has since been depreciated by MedDRA ontology. Although WHO-ART has been officially deprecated since 2015, any user who requires it for a specific purpose should contact UMC as indicated. Until 2008, when MedDRA (Medical Dictionary for Regulatory Activities) was implemented, WHO-ART was the only available terminology for coding adverse drug reactions in VigiBase. Most users should now use MedDRA as their preferred coding choice."},"legacy_ids":["bsg-002601","bsg-s002601"],"name":"FAIRsharing record for: WHO Adverse Reaction Terminology","abbreviation":"WHO-ART","url":"https://fairsharing.org/10.25504/FAIRsharing.21gwxs","doi":"10.25504/FAIRsharing.21gwxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Health Organization Adverse Drug Reaction Terminology (WHO-ART) was developed and maintained by the WHO Collaborating Centre for International Drug Monitoring Uppsala Monitoring Centre (UMC). The WHO-ART collection is used for coding clinical information related to adverse drug reactions as a standardization collection of vocabulary/terminology for adverse reactions. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Ontology and Terminology"],"domains":["Adverse Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":1507,"relation":"undefined"}],"grants":[{"id":10819,"fairsharing_record_id":160,"organisation_id":4083,"relation":"maintains","created_at":"2023-08-07T20:55:57.522Z","updated_at":"2023-08-07T20:55:57.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":4083,"name":"World Health Organization (WHO) Collaborating Centre for International Drug Monitoring, Uppsala Monitoring Centre (UMC)","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5186,"fairsharing_record_id":160,"organisation_id":3252,"relation":"associated_with","created_at":"2021-09-30T09:27:18.177Z","updated_at":"2023-08-07T20:55:57.620Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"161","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:17.000Z","updated_at":"2022-07-20T12:31:09.585Z","metadata":{"doi":"10.25504/FAIRsharing.DfMGZW","name":"FAIR Maturity Indicator Gen2-MI-A1.1","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_A1.1.md","identifier":161,"description":"The FAIR Maturity Indicator Gen2-MI-A1.1 measures if the resolution protocol is universally implementable with an open protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001369","bsg-s001369"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-A1.1","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.DfMGZW","doi":"10.25504/FAIRsharing.DfMGZW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-A1.1 measures if the resolution protocol is universally implementable with an open protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13194},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13205},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13225},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13255},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13270},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20168}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1480,"relation":"undefined"}],"grants":[{"id":5188,"fairsharing_record_id":161,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:18.232Z","updated_at":"2021-09-30T09:27:18.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5187,"fairsharing_record_id":161,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:18.204Z","updated_at":"2021-09-30T09:27:18.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5189,"fairsharing_record_id":161,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:18.263Z","updated_at":"2021-09-30T09:27:18.263Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5190,"fairsharing_record_id":161,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:18.290Z","updated_at":"2021-09-30T09:27:18.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"140","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T10:44:26.924Z","metadata":{"doi":"10.25504/FAIRsharing.qv4b3c","name":"Simplified Molecular Input Line Entry Specification Format","status":"ready","contacts":[],"homepage":"http://opensmiles.org/opensmiles.html","citations":[],"identifier":140,"description":"This format is an open specification version of the SMILES language, a typographical line notation for specifying chemical structure. It is hosted under the banner of the Blue Obelisk project, with the intent to solicit contributions and comments from the entire computational chemistry community.","abbreviation":"SMILES","support_links":[{"url":"http://www.daylight.com/dayhtml/doc/theory/theory.smiles.html","name":"External documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Simplified_molecular-input_line-entry_system","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"http://openbabel.org/docs/FileFormats/SMILES_format.html","name":"SMILES format","type":"Help documentation"},{"url":"https://github.com/opensmiles","name":"OpenSMILES GitHub Organization","type":"Github"},{"url":"http://opensmiles.org/opensmiles.html","name":"OpenSMILES Specification","type":"Help documentation"},{"url":"https://sourceforge.net/projects/blueobelisk/lists/blueobelisk-discuss","name":"Mailing List: blueobelisk","type":"Contact form"}],"year_creation":1980},"legacy_ids":["bsg-000264","bsg-s000264"],"name":"FAIRsharing record for: Simplified Molecular Input Line Entry Specification Format","abbreviation":"SMILES","url":"https://fairsharing.org/10.25504/FAIRsharing.qv4b3c","doi":"10.25504/FAIRsharing.qv4b3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This format is an open specification version of the SMILES language, a typographical line notation for specifying chemical structure. It is hosted under the banner of the Blue Obelisk project, with the intent to solicit contributions and comments from the entire computational chemistry community.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10857},{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10920},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11041},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12079}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1716,"pubmed_id":null,"title":"SMILES. 2. Algorithm for generation of unique SMILES notation","year":1989,"url":"http://doi.org/10.1021/ci00062a008","authors":"Weininger D, Weininger A, Weininger JL","journal":"Journal of Chemical Information and Modeling.","doi":"10.1021/ci00062a008","created_at":"2021-09-30T08:25:32.253Z","updated_at":"2021-09-30T08:25:32.253Z"},{"id":1726,"pubmed_id":23031664,"title":"mol2chemfig, a tool for rendering chemical structures from molfile or SMILES format to LATE X code.","year":2012,"url":"http://doi.org/10.1186/1758-2946-4-24","authors":"Brefo-Mensah EK,Palmer M","journal":"J Cheminform","doi":"10.1186/1758-2946-4-24","created_at":"2021-09-30T08:25:33.446Z","updated_at":"2021-09-30T08:25:33.446Z"},{"id":1727,"pubmed_id":null,"title":"SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules","year":1988,"url":"http://doi.org/10.1021/ci00057a005","authors":"Weininger D.","journal":"Journal of Chemical Information and Modeling","doi":"10.1021/ci00057a005","created_at":"2021-09-30T08:25:33.554Z","updated_at":"2021-09-30T08:25:33.554Z"},{"id":1728,"pubmed_id":null,"title":"SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules","year":1990,"url":"http://doi.org/10.1021/ci00067a005","authors":"Weininger D.","journal":"Journal of Chemical Information and Modeling.","doi":"10.1021/ci00067a005","created_at":"2021-09-30T08:25:33.662Z","updated_at":"2021-09-30T08:25:33.662Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License 1.2","licence_id":354,"licence_url":"https://www.gnu.org/licenses/old-licenses/fdl-1.2.en.html","link_id":2573,"relation":"applies_to_content"}],"grants":[{"id":5148,"fairsharing_record_id":140,"organisation_id":288,"relation":"maintains","created_at":"2021-09-30T09:27:16.845Z","updated_at":"2021-09-30T09:27:16.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":288,"name":"Blue Obelisk","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBazRFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--047d6c77b3abf77702d511a7e6a66acd8eb554b8/19335777.jpg?disposition=inline","exhaustive_licences":false}},{"id":"141","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T18:57:16.000Z","updated_at":"2022-07-20T12:46:04.744Z","metadata":{"doi":"10.25504/FAIRsharing.e2zy7j","name":"Apollo Location Code","status":"deprecated","contacts":[{"contact_name":"Jeremy Espino","contact_email":"juest4@pitt.edu","contact_orcid":"0000-0001-8104-2656"}],"homepage":"http://betaweb.rods.pitt.edu/ls","citations":[],"identifier":141,"description":"The Apollo Location Service (LS) Database issues persistent identifiers for locations for specific time intervals, including intervals that start in the past and are still open at present (i.e., the identifier should be used to refer to the location today). Temporally specific location identifiers are particularly important in epidemiology because the epidemiological record includes locations that do not presently exist, location names that have changed and location names whose political boundaries have changed.","abbreviation":"apollo-ls","support_links":[{"url":"https://docs.google.com/document/d/18ojDcH2-IoKpCObAvxVXS8nIvyJz-Jprpfu8SZnV0xs/edit?usp=sharing","name":"Apollo LS User Guide","type":"Help documentation"}],"year_creation":2014,"deprecation_date":"2022-07-14","deprecation_reason":"The resource homepage no longer exists, and a new one cannot be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000708","bsg-s000708"],"name":"FAIRsharing record for: Apollo Location Code","abbreviation":"apollo-ls","url":"https://fairsharing.org/10.25504/FAIRsharing.e2zy7j","doi":"10.25504/FAIRsharing.e2zy7j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Apollo Location Service (LS) Database issues persistent identifiers for locations for specific time intervals, including intervals that start in the past and are still open at present (i.e., the identifier should be used to refer to the location today). Temporally specific location identifiers are particularly important in epidemiology because the epidemiological record includes locations that do not presently exist, location names that have changed and location names whose political boundaries have changed.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12443}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Epidemiology"],"domains":["Geographical location"],"taxonomies":["ISO3166"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5149,"fairsharing_record_id":141,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:16.879Z","updated_at":"2021-09-30T09:30:00.651Z","grant_id":511,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U24GM110707","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"142","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:23.154Z","metadata":{"doi":"10.25504/FAIRsharing.6mk8xz","name":"Minimum Information About a Biofilm Experiment","status":"ready","contacts":[{"contact_name":"Nuno Filipe Azevedo","contact_email":"nazevedo@fe.up.pt","contact_orcid":"0000-0001-5864-3250"}],"homepage":"http://miabie.org/","identifier":142,"description":"The minimum information about a biofilm experiment (MIABiE) initiative has arisen from the need to find an adequate and scientifically sound way to control the quality of the documentation accompanying the public deposition of biofilm-related data, particularly those obtained using high-throughput devices and techniques. MIABiE includes several modules, each addressing specific parts of a biofilm study.","abbreviation":"MIABiE","support_links":[{"url":"http://miabie.org/modules.php","name":"Module Documentation","type":"Help documentation"},{"url":"http://miabie.org/introduction.php","name":"Additional Information","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"http://miabie.org/tools.php","name":"Associated Tools"}]},"legacy_ids":["bsg-000279","bsg-s000279"],"name":"FAIRsharing record for: Minimum Information About a Biofilm Experiment","abbreviation":"MIABiE","url":"https://fairsharing.org/10.25504/FAIRsharing.6mk8xz","doi":"10.25504/FAIRsharing.6mk8xz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The minimum information about a biofilm experiment (MIABiE) initiative has arisen from the need to find an adequate and scientifically sound way to control the quality of the documentation accompanying the public deposition of biofilm-related data, particularly those obtained using high-throughput devices and techniques. MIABiE includes several modules, each addressing specific parts of a biofilm study.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11596},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12013}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Microbiology","Biology"],"domains":["Biofilm","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Canada","Germany","Italy","Latvia","Portugal","Spain","United States"],"publications":[{"id":149,"pubmed_id":33447797,"title":"Minimum information guideline for spectrophotometric and fluorometric methods to assess biofilm formation in microplates.","year":2019,"url":"http://doi.org/10.1016/j.bioflm.2019.100010","authors":"Allkja J,Bjarnsholt T,Coenye T,Cos P,Fallarero A,Harrison JJ,Lopes SP,Oliver A,Pereira MO,Ramage G,Shirtliff ME,Stoodley P,Webb JS,Zaat SAJ,Goeres DM,Azevedo NF","journal":"Biofilm","doi":"10.1016/j.bioflm.2019.100010","created_at":"2021-09-30T08:22:36.198Z","updated_at":"2021-09-30T08:22:36.198Z"},{"id":613,"pubmed_id":24478124,"title":"Minimum information about a biofilm experiment (MIABiE): standards for reporting experiments and data on sessile microbial communities living at interfaces","year":2014,"url":"http://doi.org/10.1111/2049-632X.12146","authors":"Lourenço, A., Coenye, T., Goeres, D., Donelli, G., Azevedo, A.S., Ceri, H., Coelho, F.L., Flemming, H.-C., Juhna, T., Lopes, S.P., Oliveira, R., Oliver, A., Shirtliff, M.E., Sousa, A.M., Stoodley, P., Pereira M.O. and N.F. Azevedo","journal":"Pathogens and Disease","doi":"10.1111/2049-632X.12146","created_at":"2021-09-30T08:23:27.376Z","updated_at":"2021-09-30T08:23:27.376Z"}],"licence_links":[{"licence_name":"MIABiE Terms of Use","licence_id":513,"licence_url":"http://miabie.org/terms-use.php","link_id":865,"relation":"undefined"}],"grants":[{"id":5150,"fairsharing_record_id":142,"organisation_id":1845,"relation":"maintains","created_at":"2021-09-30T09:27:16.916Z","updated_at":"2021-09-30T09:27:16.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":1845,"name":"Minimum Information about a Biofilm Experiment (MIABiE) Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5152,"fairsharing_record_id":142,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:27:16.987Z","updated_at":"2021-09-30T09:27:16.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5151,"fairsharing_record_id":142,"organisation_id":1010,"relation":"funds","created_at":"2021-09-30T09:27:16.956Z","updated_at":"2021-09-30T09:29:54.343Z","grant_id":461,"is_lead":false,"saved_state":{"id":1010,"name":"FEUP - Faculty of Engineering University of Porto","grant":"722467","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"143","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.788Z","metadata":{"doi":"10.25504/FAIRsharing.mcgj5b","name":"Distributed Sequence Annotation System","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"das@biodas.org"}],"homepage":"http://www.biodas.org/documents/spec-1.6.html","identifier":143,"description":"The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences.","abbreviation":"DAS","support_links":[{"url":"http://biodas.open-bio.org/wiki/DasFAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://lists.open-bio.org/mailman/listinfo/das","type":"Mailing list"},{"url":"http://biodas.open-bio.org/wiki/Main_Page","type":"Help documentation"}],"year_creation":2000},"legacy_ids":["bsg-000287","bsg-s000287"],"name":"FAIRsharing record for: Distributed Sequence Annotation System","abbreviation":"DAS","url":"https://fairsharing.org/10.25504/FAIRsharing.mcgj5b","doi":"10.25504/FAIRsharing.mcgj5b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1708,"pubmed_id":11667947,"title":"The distributed annotation system.","year":2001,"url":"http://doi.org/10.1186/1471-2105-2-7","authors":"Dowell RD,Jokerst RM,Day A,Eddy SR,Stein L","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-2-7","created_at":"2021-09-30T08:25:31.395Z","updated_at":"2021-09-30T08:25:31.395Z"}],"licence_links":[],"grants":[{"id":5153,"fairsharing_record_id":143,"organisation_id":548,"relation":"maintains","created_at":"2021-09-30T09:27:17.013Z","updated_at":"2021-09-30T09:27:17.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":548,"name":"Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"163","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T13:54:15.298Z","metadata":{"doi":"10.25504/FAIRsharing.frr5dh","name":"REporting recommendations for tumour MARKer prognostic studies","status":"ready","contacts":[{"contact_name":"Lisa M McShane","contact_email":"Lm5h@nih.gov"}],"homepage":"https://www.equator-network.org/reporting-guidelines/reporting-recommendations-for-tumour-marker-prognostic-studies-remark/","citations":[],"identifier":163,"description":"As for the successful CONSORT initiative for randomized trials and for the STARD statement for diagnostic studies, we suggest guidelines to provide relevant information about the study design, preplanned hypotheses, patient and specimen characteristics, assay methods, and statistical analysis methods. In addition, the guidelines provide helpful suggestions on how to present data and important elements to include in discussions. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available. ","abbreviation":"REMARK","support_links":[],"year_creation":2001},"legacy_ids":["bsg-000155","bsg-s000155"],"name":"FAIRsharing record for: REporting recommendations for tumour MARKer prognostic studies","abbreviation":"REMARK","url":"https://fairsharing.org/10.25504/FAIRsharing.frr5dh","doi":"10.25504/FAIRsharing.frr5dh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As for the successful CONSORT initiative for randomized trials and for the STARD statement for diagnostic studies, we suggest guidelines to provide relevant information about the study design, preplanned hypotheses, patient and specimen characteristics, assay methods, and statistical analysis methods. In addition, the guidelines provide helpful suggestions on how to present data and important elements to include in discussions. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available. ","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12098}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Oncology","Genetics","Biomedical Science"],"domains":["Tumor","Genetic marker","Prognosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United Kingdom","United States"],"publications":[{"id":852,"pubmed_id":22642691,"title":"Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration.","year":2012,"url":"http://doi.org/10.1186/1741-7015-10-51","authors":"Altman DG,McShane LM,Sauerbrei W,Taube SE","journal":"BMC Med","doi":"10.1186/1741-7015-10-51","created_at":"2021-09-30T08:23:54.037Z","updated_at":"2021-09-30T08:23:54.037Z"},{"id":854,"pubmed_id":22675273,"title":"Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.","year":2012,"url":"http://doi.org/10.1371/journal.pmed.1001216","authors":"Altman DG,McShane LM,Sauerbrei W,Taube SE","journal":"PLoS Med","doi":"10.1371/journal.pmed.1001216","created_at":"2021-09-30T08:23:54.254Z","updated_at":"2021-09-30T08:23:54.254Z"},{"id":1827,"pubmed_id":16106245,"title":"REporting recommendations for tumour MARKer prognostic studies (REMARK).","year":2005,"url":"http://doi.org/10.1038/sj.bjc.6602678","authors":"McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM; Statistics Subcommittee of the NCI-EORTC Working Group on Cancer Diagnostics.","journal":"Br. J. Cancer","doi":"10.1038/sj.bjc.6602678","created_at":"2021-09-30T08:25:45.222Z","updated_at":"2021-09-30T08:25:45.222Z"}],"licence_links":[],"grants":[{"id":5192,"fairsharing_record_id":163,"organisation_id":2419,"relation":"maintains","created_at":"2021-09-30T09:27:18.364Z","updated_at":"2021-09-30T09:27:18.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":2419,"name":"REMARK group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5191,"fairsharing_record_id":163,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:27:18.326Z","updated_at":"2021-09-30T09:29:25.607Z","grant_id":244,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","grant":"C5529","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"164","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T20:09:18.000Z","updated_at":"2023-09-15T13:53:38.257Z","metadata":{"doi":"10.25504/FAIRsharing.YugnuL","name":"Hyper Text Markup Language","status":"ready","contacts":[{"contact_name":"Xiaoqian Wu","contact_email":"xiaoqian@w3.org"}],"homepage":"https://html.spec.whatwg.org/","citations":[],"identifier":164,"description":"Hyper Text Markup Language (HTML) is the World Wide Web’s core markup language. It is used to create and design web pages and other information which can be displayed in a web browser. Originally, HTML was primarily designed as a language for semantically describing scientific documents. Its general design, however, has enabled it to be adapted, over the subsequent years, to describe a number of other types of documents and even applications.This specification defines an abstract language for describing documents and applications, and some APIs for interacting with in-memory representations of resources that use this language.","abbreviation":"HTML","support_links":[{"url":"https://github.com/whatwg/html/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/whatwg/html/blob/main/FAQ.md","name":"FAQ (via GitHub)","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/htmlstandard","name":"@htmlstandard","type":"Twitter"}],"year_creation":1993},"legacy_ids":["bsg-001284","bsg-s001284"],"name":"FAIRsharing record for: Hyper Text Markup Language","abbreviation":"HTML","url":"https://fairsharing.org/10.25504/FAIRsharing.YugnuL","doi":"10.25504/FAIRsharing.YugnuL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Hyper Text Markup Language (HTML) is the World Wide Web’s core markup language. It is used to create and design web pages and other information which can be displayed in a web browser. Originally, HTML was primarily designed as a language for semantically describing scientific documents. Its general design, however, has enabled it to be adapted, over the subsequent years, to describe a number of other types of documents and even applications.This specification defines an abstract language for describing documents and applications, and some APIs for interacting with in-memory representations of resources that use this language.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2236,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3333,"relation":"applies_to_content"}],"grants":[{"id":10860,"fairsharing_record_id":164,"organisation_id":4107,"relation":"maintains","created_at":"2023-09-15T13:39:43.429Z","updated_at":"2023-09-15T13:39:43.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":4107,"name":"Web Hypertext Application Technology Working Group (WHATWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"165","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:44:25.686Z","metadata":{"doi":"10.25504/FAIRsharing.ez2nhb","name":"Ontology for Parasite LifeCycle","status":"ready","contacts":[{"contact_name":"Priti Parikh","contact_email":"preets79@gmail.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/OPL","identifier":165,"description":"OPL models the life cycle stage details of T.cruzi and two related kinetoplastids, Trypanosoma brucei and Leishmania major. In addition, the ontology also models necessary contextual details such as host information, vector information, strain and anatomical location. OPL is based on the Basic Formal Ontology (BFO) and follows the rules set by the OBO Foundry consortium.","abbreviation":"OPL","support_links":[{"url":"support@knoesis.org","name":"Kno.e.sis Support","type":"Support email"},{"url":"https://github.com/OPL-ontology/OPL/issues","name":"OPL Issue Tracker","type":"Github"},{"url":"https://github.com/OPL-ontology/OPL","name":"OPL on GitHub","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OPL","name":"OPL","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/opl.html","name":"opl","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002590","bsg-s002590"],"name":"FAIRsharing record for: Ontology for Parasite LifeCycle","abbreviation":"OPL","url":"https://fairsharing.org/10.25504/FAIRsharing.ez2nhb","doi":"10.25504/FAIRsharing.ez2nhb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OPL models the life cycle stage details of T.cruzi and two related kinetoplastids, Trypanosoma brucei and Leishmania major. In addition, the ontology also models necessary contextual details such as host information, vector information, strain and anatomical location. OPL is based on the Basic Formal Ontology (BFO) and follows the rules set by the OBO Foundry consortium.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Parasite","Host","Life cycle","Life cycle stage"],"taxonomies":["Leishmania major","Trypanosoma brucei","Trypanosoma cruzi"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":759,"pubmed_id":22621763,"title":"The Ontology for Parasite Lifecycle (OPL): towards a consistent vocabulary of lifecycle stages in parasitic organisms.","year":2012,"url":"http://doi.org/10.1186/2041-1480-3-5","authors":"Parikh PP,Zheng J,Logan-Klumpler F,Stoeckert CJ Jr,Louis C,Topalis P,Protasio AV,Sheth AP,Carrington M,Berriman M,Sahoo SS","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-3-5","created_at":"2021-09-30T08:23:43.612Z","updated_at":"2021-09-30T08:23:43.612Z"}],"licence_links":[],"grants":[{"id":7889,"fairsharing_record_id":165,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:29:26.900Z","updated_at":"2021-09-30T09:29:26.940Z","grant_id":255,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"085822","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5195,"fairsharing_record_id":165,"organisation_id":556,"relation":"maintains","created_at":"2021-09-30T09:27:18.492Z","updated_at":"2021-09-30T09:27:18.492Z","grant_id":null,"is_lead":false,"saved_state":{"id":556,"name":"College of Engineering and Computer Science (KNO.E.SIS), Fairborn, OH, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5198,"fairsharing_record_id":165,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:18.618Z","updated_at":"2021-09-30T09:28:59.761Z","grant_id":46,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200900039C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5197,"fairsharing_record_id":165,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:18.576Z","updated_at":"2021-09-30T09:29:00.050Z","grant_id":48,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5199,"fairsharing_record_id":165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:18.657Z","updated_at":"2021-09-30T09:29:03.262Z","grant_id":73,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5R01GM93132-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5196,"fairsharing_record_id":165,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:18.535Z","updated_at":"2021-09-30T09:32:19.866Z","grant_id":1570,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01HL087795-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5194,"fairsharing_record_id":165,"organisation_id":971,"relation":"funds","created_at":"2021-09-30T09:27:18.443Z","updated_at":"2021-09-30T09:29:06.061Z","grant_id":93,"is_lead":false,"saved_state":{"id":971,"name":"EVIMALAR network of excellence (EMBL)","grant":"242095","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"166","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2021-11-24T13:18:31.193Z","metadata":{"doi":"10.25504/FAIRsharing.cz9cnp","name":"Ontology of Host-Microbe Interactions","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/ohmi-ontology/ohmi","identifier":166,"description":"OHMI is aimed to ontologically represent various entities and relations related to microbiomes, microbiome host organisms (e.g., human and mouse), and the interactions between the hosts and microbiomes at different conditions.","abbreviation":"OHMI","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OHMI","name":"OHMI","portal":"BioPortal"}]},"legacy_ids":["bsg-000953","bsg-s000953"],"name":"FAIRsharing record for: Ontology of Host-Microbe Interactions","abbreviation":"OHMI","url":"https://fairsharing.org/10.25504/FAIRsharing.cz9cnp","doi":"10.25504/FAIRsharing.cz9cnp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OHMI is aimed to ontologically represent various entities and relations related to microbiomes, microbiome host organisms (e.g., human and mouse), and the interactions between the hosts and microbiomes at different conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Host","Microbiome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5200,"fairsharing_record_id":166,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:27:18.693Z","updated_at":"2021-09-30T09:27:18.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5201,"fairsharing_record_id":166,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:18.732Z","updated_at":"2021-09-30T09:27:18.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5202,"fairsharing_record_id":166,"organisation_id":3123,"relation":"maintains","created_at":"2021-09-30T09:27:18.774Z","updated_at":"2021-09-30T09:27:18.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":3123,"name":"University of South Carolina, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"167","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:50.523Z","metadata":{"doi":"10.25504/FAIRsharing.aej2a8","name":"Galen Ontology","status":"uncertain","contacts":[{"contact_name":"Julian Seidenberg","contact_email":"j@deltaflow.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1055","identifier":167,"description":"A translation of the full Galen ontology (from the OpenGALEN project) into the OWL description logic.","abbreviation":"GALEN","support_links":[{"url":"http://www.deltaflow.com/wp-content/pdf/seidenberg-www2006.pdf","name":"Conference papers","type":"Help documentation"}],"year_creation":1991},"legacy_ids":["bsg-002607","bsg-s002607"],"name":"FAIRsharing record for: Galen Ontology","abbreviation":"GALEN","url":"https://fairsharing.org/10.25504/FAIRsharing.aej2a8","doi":"10.25504/FAIRsharing.aej2a8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A translation of the full Galen ontology (from the OpenGALEN project) into the OWL description logic.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Life Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom"],"publications":[{"id":2352,"pubmed_id":null,"title":"Web Ontology Segmentation: Analysis, Classification and Use","year":2006,"url":"https://www.researchgate.net/publication/221022817_Web_Ontology_Segmentation_Analysis_Classification_and_Use","authors":"Julian Seidenberg, Alan Rector","journal":"Proceedings of the 15th international conference on World Wide Web, WWW 2006, Edinburgh, Scotland, UK, May 23-26, 2006","doi":null,"created_at":"2021-09-30T08:26:49.090Z","updated_at":"2021-09-30T11:28:35.092Z"}],"licence_links":[],"grants":[{"id":5203,"fairsharing_record_id":167,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:27:18.805Z","updated_at":"2021-09-30T09:27:18.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5204,"fairsharing_record_id":167,"organisation_id":1389,"relation":"maintains","created_at":"2021-09-30T09:27:18.828Z","updated_at":"2021-09-30T09:27:18.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1389,"name":"Institute for Molecules and Materials (IMM), Radboud University, Nijmegen, The Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"152","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:48:55.469Z","metadata":{"doi":"10.25504/FAIRsharing.phk7dd","name":"C. elegans gross anatomy","status":"ready","contacts":[{"contact_name":"Raymond Lee","contact_email":"raymond@caltech.edu","contact_orcid":"0000-0002-8151-7479"}],"homepage":"https://www.wormbase.org/tools/ontology_browser","citations":[],"identifier":152,"description":"A structured controlled vocabulary of the anatomy of Caenorhabditis elegans.","abbreviation":"WB-BT","support_links":[{"url":"https://www.wormbase.org/tools/support?url=/","name":"General contact","type":"Contact form"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WB-BT","name":"BioPortal: WB-BT","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/wbbt.html","name":"OBO Foundry: wbbt","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000020","bsg-s000020"],"name":"FAIRsharing record for: C. elegans gross anatomy","abbreviation":"WB-BT","url":"https://fairsharing.org/10.25504/FAIRsharing.phk7dd","doi":"10.25504/FAIRsharing.phk7dd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy of Caenorhabditis elegans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1650,"pubmed_id":18629098,"title":"Building a cell and anatomy ontology of Caenorhabditis elegans.","year":2008,"url":"http://doi.org/10.1002/cfg.248","authors":"Lee RY,Sternberg PW","journal":"Comp Funct Genomics","doi":"10.1002/cfg.248","created_at":"2021-09-30T08:25:24.863Z","updated_at":"2021-09-30T08:25:24.863Z"}],"licence_links":[{"licence_name":"Wormbase licence","licence_id":921,"licence_url":"https://wormbase.org/about/policies","link_id":2672,"relation":"applies_to_content"}],"grants":[{"id":5167,"fairsharing_record_id":152,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:27:17.563Z","updated_at":"2021-09-30T09:27:17.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"153","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-07-20T11:56:47.086Z","metadata":{"doi":"10.25504/FAIRsharing.8ajxrw","name":"Neuroscience Domain Insight Graphs","status":"ready","contacts":[{"contact_name":"Gully Burns","contact_email":"gullyburns@gmail.com"}],"homepage":"https://github.com/SciKnowEngine/SciDIG","identifier":153,"description":"Neuroscience Domain Insight Graphs (neuDIGs) was created to serve the needs of systems-level neuroscience: an advanced, complex scientific subject. The goal is to provide a large-scale, practical, common representation for neuroscientific knowledge that is primarily concerned with properties and characteristics of neuron populations that may (or may not) be explicitly identified by name.","abbreviation":"neuDIGs","support_links":[{"url":"http://usc-isi-i2.github.io/dig/","name":"Domain-specific Insight Graph Documentation","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NEUDIGS","name":"NEUDIGS","portal":"BioPortal"}]},"legacy_ids":["bsg-000949","bsg-s000949"],"name":"FAIRsharing record for: Neuroscience Domain Insight Graphs","abbreviation":"neuDIGs","url":"https://fairsharing.org/10.25504/FAIRsharing.8ajxrw","doi":"10.25504/FAIRsharing.8ajxrw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Neuroscience Domain Insight Graphs (neuDIGs) was created to serve the needs of systems-level neuroscience: an advanced, complex scientific subject. The goal is to provide a large-scale, practical, common representation for neuroscientific knowledge that is primarily concerned with properties and characteristics of neuron populations that may (or may not) be explicitly identified by name.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Neuroscience"],"domains":["Neuron"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5168,"fairsharing_record_id":153,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:27:17.586Z","updated_at":"2021-09-30T09:27:17.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"154","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:15.219Z","metadata":{"doi":"10.25504/FAIRsharing.a0r156","name":"Ontology of Glucose Metabolism Disorder","status":"ready","contacts":[{"contact_name":"Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"https://code.google.com/p/ogsf/","identifier":154,"description":"Ontology of Glucose Metabolism Disorder includes disease names, phenotypes and their classifications involved in Glucose Metabolism Disorder, Diabetes. It must be used with other two ontologies, in the case of Diabetes: the Ontology of Geographical Region (OGR) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","abbreviation":"OGMD","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php#ontology","name":"He Group Ontology page","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGMD","name":"OGMD","portal":"BioPortal"}]},"legacy_ids":["bsg-002632","bsg-s002632"],"name":"FAIRsharing record for: Ontology of Glucose Metabolism Disorder","abbreviation":"OGMD","url":"https://fairsharing.org/10.25504/FAIRsharing.a0r156","doi":"10.25504/FAIRsharing.a0r156","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology of Glucose Metabolism Disorder includes disease names, phenotypes and their classifications involved in Glucose Metabolism Disorder, Diabetes. It must be used with other two ontologies, in the case of Diabetes: the Ontology of Geographical Region (OGR) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Metabolomics","Biomedical Science"],"domains":["Glucose","Disease process modeling","Glucose metabolic process","Phenotype","Disease","Diabetes mellitus"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":449,"pubmed_id":24963371,"title":"The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-19","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-19","created_at":"2021-09-30T08:23:08.751Z","updated_at":"2021-09-30T08:23:08.751Z"},{"id":1699,"pubmed_id":20847592,"title":"Ontology driven modeling for the knowledge of genetic susceptibility to disease.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/20847592","authors":"Lin Y,Sakamoto N","journal":"Kobe J Med Sci","doi":null,"created_at":"2021-09-30T08:25:30.403Z","updated_at":"2021-09-30T08:25:30.403Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":971,"relation":"undefined"}],"grants":[{"id":5169,"fairsharing_record_id":154,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:17.611Z","updated_at":"2021-09-30T09:27:17.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"155","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:19.559Z","metadata":{"doi":"10.25504/FAIRsharing.901nkj","name":"National Drug File","status":"ready","contacts":[{"contact_name":"Michael J. Lincoln","contact_email":"michael.lincoln@va.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/NDFRT","identifier":155,"description":"The National Drug File Reference Terminology contains a novel reference hierarchy to describe physiologic effects (PE) of drugs.","abbreviation":"NDFRT","year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NDFRT","name":"NDFRT","portal":"BioPortal"}]},"legacy_ids":["bsg-002592","bsg-s002592"],"name":"FAIRsharing record for: National Drug File","abbreviation":"NDFRT","url":"https://fairsharing.org/10.25504/FAIRsharing.901nkj","doi":"10.25504/FAIRsharing.901nkj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Drug File Reference Terminology contains a novel reference hierarchy to describe physiologic effects (PE) of drugs.","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11278},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11720},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12014}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Physiology","Biomedical Science"],"domains":["Drug name","Chemical entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1410,"pubmed_id":14728237,"title":"Adequacy of representation of the National Drug File Reference Terminology Physiologic Effects reference hierarchy for commonly prescribed medications.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/14728237","authors":"Rosenbloom ST,Awad J,Speroff T,Elkin PL,Rothman R,Spickard A 3rd,Peterson J,Bauer BA,Wahner-Roedler DL,Lee M,Gregg WM,Johnson KB,Jirjis J,Erlbaum MS,Carter JS,Lincoln MJ,Brown SH","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:24:57.615Z","updated_at":"2021-09-30T08:24:57.615Z"}],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":223,"relation":"undefined"}],"grants":[{"id":5170,"fairsharing_record_id":155,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:17.641Z","updated_at":"2021-09-30T09:31:47.303Z","grant_id":1326,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"LM6918-A102","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5172,"fairsharing_record_id":155,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:17.721Z","updated_at":"2021-09-30T09:31:01.633Z","grant_id":983,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"3 U01 GM61388-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9174,"fairsharing_record_id":155,"organisation_id":2948,"relation":"maintains","created_at":"2022-04-11T12:07:19.545Z","updated_at":"2022-04-11T12:07:19.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":2948,"name":"United States Department of Veterans Affairs","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"156","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:05:49.000Z","updated_at":"2022-07-20T10:30:54.399Z","metadata":{"doi":"10.25504/FAIRsharing.YAdSwh","name":"FAIR Maturity Indicator Gen2-MI-R1.1","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_R1.1.md","identifier":156,"description":"The FAIR Maturity Indicator Gen2-MI-R1.1 Maturity Indicator measures the presence of a pointer in the metadata to the data license. Data that does not have a license cannot (legitimately) be reused, since the conditions of that reuse are not known.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001368","bsg-s001368"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-R1.1","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.YAdSwh","doi":"10.25504/FAIRsharing.YAdSwh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-R1.1 Maturity Indicator measures the presence of a pointer in the metadata to the data license. Data that does not have a license cannot (legitimately) be reused, since the conditions of that reuse are not known.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13187},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13217},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13248},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13262},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20177}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1479,"relation":"undefined"}],"grants":[{"id":5173,"fairsharing_record_id":156,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:17.754Z","updated_at":"2021-09-30T09:27:17.754Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5174,"fairsharing_record_id":156,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:17.777Z","updated_at":"2021-09-30T09:27:17.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5175,"fairsharing_record_id":156,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:17.803Z","updated_at":"2021-09-30T09:27:17.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5176,"fairsharing_record_id":156,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:17.887Z","updated_at":"2021-09-30T09:27:17.887Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"157","type":"fairsharing_records","attributes":{"created_at":"2015-09-17T08:11:12.000Z","updated_at":"2022-07-20T10:19:24.901Z","metadata":{"doi":"10.25504/FAIRsharing.knp11s","name":"Cellular Microscopy Phenotype Ontology","status":"ready","contacts":[],"homepage":"http://www.ebi.ac.uk/cmpo/","citations":[{"doi":"10.1186/s13326-016-0074-0","pubmed_id":27195102,"publication_id":1187}],"identifier":157,"description":"Cellular Microscopy Phenotype Ontology (CMPO) is a species neutral ontology for describing general phenotypic observations relating to the whole cell, cellular components, cellular processes and cell populations","abbreviation":"CMPO","support_links":[{"url":"ontology-tools-support@ebi.ac.uk","name":"Helpdesk","type":"Support email"},{"url":"jupp@ebi.ac.uk","name":"jupp@ebi.ac.uk","type":"Support email"},{"url":"https://github.com/EBISPOT/cmpo/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/EBISPOT/CMPO","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/cellular-microscopy-phenotype-ontology-cmpo-quick-tour","name":"Cellular microscopy phenotype ontology cmpo quick tour","type":"TeSS links to training materials"}],"year_creation":2013,"associated_tools":[{"url":"https://www.ebi.ac.uk/spot/zooma/","name":"Zooma"},{"url":"http://bioportal.bioontology.org/annotator","name":"NCBO Annotator"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CMPO","name":"CMPO","portal":"BioPortal"}]},"legacy_ids":["bsg-000617","bsg-s000617"],"name":"FAIRsharing record for: Cellular Microscopy Phenotype Ontology","abbreviation":"CMPO","url":"https://fairsharing.org/10.25504/FAIRsharing.knp11s","doi":"10.25504/FAIRsharing.knp11s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cellular Microscopy Phenotype Ontology (CMPO) is a species neutral ontology for describing general phenotypic observations relating to the whole cell, cellular components, cellular processes and cell populations","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18245},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10884}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cell Biology"],"domains":["Cell","Microscopy","Cellular component","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1187,"pubmed_id":27195102,"title":"The cellular microscopy phenotype ontology.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0074-0","authors":"Jupp S,Malone J,Burdett T,Heriche JK,Williams E,Ellenberg J,Parkinson H,Rustici G","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0074-0","created_at":"2021-09-30T08:24:31.992Z","updated_at":"2021-09-30T08:24:31.992Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":501,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":502,"relation":"undefined"}],"grants":[{"id":5177,"fairsharing_record_id":157,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:17.933Z","updated_at":"2021-09-30T09:27:17.933Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5179,"fairsharing_record_id":157,"organisation_id":2697,"relation":"funds","created_at":"2021-09-30T09:27:18.005Z","updated_at":"2021-09-30T09:30:19.448Z","grant_id":657,"is_lead":false,"saved_state":{"id":2697,"name":"Systems Microscopy Network of Excellence, European Union","grant":"EU FP7 258068","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5180,"fairsharing_record_id":157,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:18.028Z","updated_at":"2021-09-30T09:31:13.908Z","grant_id":1076,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M018423/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5178,"fairsharing_record_id":157,"organisation_id":888,"relation":"funds","created_at":"2021-09-30T09:27:17.972Z","updated_at":"2021-09-30T09:32:38.088Z","grant_id":1710,"is_lead":false,"saved_state":{"id":888,"name":"EU FP7 BioMedBridges","grant":"EU FP7 284209","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2061","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:26:03.527Z","metadata":{"doi":"10.25504/FAIRsharing.vxz9pn","name":"SWISS-MODEL Repository of 3D protein structure models","status":"ready","contacts":[{"contact_name":"Torsten Schwede","contact_email":"help-swissmodel@unibas.ch","contact_orcid":"0000-0003-2715-335X"}],"homepage":"https://swissmodel.expasy.org/repository/","citations":[{"doi":"10.1093/nar/gkw1132","pubmed_id":27899672,"publication_id":1934}],"identifier":2061,"description":"The SWISS-MODEL Repository is a database of annotated 3D protein structure models generated by the SWISS-MODEL homology-modelling pipeline for protein sequences of selected model organisms.","abbreviation":"SWISS-MODEL","data_curation":{"type":"not found"},"support_links":[{"url":"help-swissmodel@unibas.ch","type":"Support email"},{"url":"https://swissmodel.expasy.org/docs/help","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/qmean/help","name":"QMEAN help","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/lddt/help/","name":"lDDT web server documentation","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/assess/help","name":"Structure Assessment help","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/comparison/help","name":"Structure Comparison","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/docs/examples","name":"Examples","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/course","name":"Protein structure course","type":"Training documentation"},{"url":"https://swissmodel.expasy.org/docs/tutorial","name":"Video tutorial","type":"Training documentation"},{"url":"https://twitter.com/SWISS_MODEL","type":"Twitter"}],"year_creation":1993,"data_versioning":"no","associated_tools":[{"url":"https://swissmodel.expasy.org/qmean/","name":"QMEAN"},{"url":"https://swissmodel.expasy.org/interactive","name":"SWISS-MODEL Workspace"},{"url":"https://swissmodel.expasy.org/lddt","name":"lDDT"},{"url":"https://swissmodel.expasy.org/assess","name":"Structure Assessment"},{"url":"https://swissmodel.expasy.org/comparison/","name":"Structure Comparison"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010605","name":"re3data:r3d100010605","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013032","name":"SciCrunch:RRID:SCR_013032","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://swissmodel.expasy.org/repository/annotation","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000528","bsg-d000528"],"name":"FAIRsharing record for: SWISS-MODEL Repository of 3D protein structure models","abbreviation":"SWISS-MODEL","url":"https://fairsharing.org/10.25504/FAIRsharing.vxz9pn","doi":"10.25504/FAIRsharing.vxz9pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SWISS-MODEL Repository is a database of annotated 3D protein structure models generated by the SWISS-MODEL homology-modelling pipeline for protein sequences of selected model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11354},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11531},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12170},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12317},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12683}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Molecular structure","Mathematical model","Protein structure","Structure","Protein"],"taxonomies":["All","Viruses"],"user_defined_tags":["COVID-19"],"countries":["Switzerland"],"publications":[{"id":885,"pubmed_id":18931379,"title":"The SWISS-MODEL Repository and associated resources.","year":2008,"url":"http://doi.org/10.1093/nar/gkn750","authors":"Kiefer F,Arnold K,Kunzli M,Bordoli L,Schwede T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn750","created_at":"2021-09-30T08:23:57.727Z","updated_at":"2021-09-30T11:28:54.909Z"},{"id":1499,"pubmed_id":24782522,"title":"SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information.","year":2014,"url":"http://doi.org/10.1093/nar/gku340","authors":"Biasini M,Bienert S,Waterhouse A,Arnold K,Studer G,Schmidt T,Kiefer F,Cassarino TG,Bertoni M,Bordoli L,Schwede T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku340","created_at":"2021-09-30T08:25:07.865Z","updated_at":"2021-09-30T11:29:11.185Z"},{"id":1934,"pubmed_id":27899672,"title":"The SWISS-MODEL Repository-new features and functionality.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1132","authors":"Bienert S,Waterhouse A,de Beer TA,Tauriello G,Studer G,Bordoli L,Schwede T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1132","created_at":"2021-09-30T08:25:57.712Z","updated_at":"2021-09-30T11:29:24.311Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":43,"relation":"undefined"},{"licence_name":"SWISS-MODEL Terms of Use","licence_id":764,"licence_url":"https://swissmodel.expasy.org/docs/terms_of_use","link_id":47,"relation":"undefined"}],"grants":[{"id":1548,"fairsharing_record_id":2061,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:11.021Z","updated_at":"2024-03-27T22:14:47.215Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWdFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4e6944e96d168968b1e167332b78bcaaa7532185/Screenshot%20from%202024-03-27%2022-13-43.png?disposition=inline","exhaustive_licences":false}},{"id":"2062","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-05-03T09:34:04.821Z","metadata":{"doi":"10.25504/FAIRsharing.1m6pt7","name":"UniPathway","status":"deprecated","contacts":[{"contact_name":"Alain Viari","contact_email":"alain.viari@inria.fr"}],"homepage":"http://www.grenoble.prabi.fr/obiwarehouse/unipathway","citations":[],"identifier":2062,"description":"UniPathway is a manually curated resource of metabolic pathways for the UniProtKB/Swiss-Prot knowledgebase. It provides a structured controlled vocabulary to describe the role of a protein in a metabolic pathway.","abbreviation":"UniPathway","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.grenoble.prabi.fr/obiwarehouse/unipathway/welcome/about/documentation/documentation_overview","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2016-12-28","deprecation_reason":"Due to technical and financial reasons this website is no longer being maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000529","bsg-d000529"],"name":"FAIRsharing record for: UniPathway","abbreviation":"UniPathway","url":"https://fairsharing.org/10.25504/FAIRsharing.1m6pt7","doi":"10.25504/FAIRsharing.1m6pt7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniPathway is a manually curated resource of metabolic pathways for the UniProtKB/Swiss-Prot knowledgebase. It provides a structured controlled vocabulary to describe the role of a protein in a metabolic pathway.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Switzerland"],"publications":[{"id":454,"pubmed_id":22102589,"title":"UniPathway: a resource for the exploration and annotation of metabolic pathways.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1023","authors":"Morgat A., Coissac E., Coudert E., Axelsen KB., Keller G., Bairoch A., Bridge A., Bougueleret L., Xenarios I., Viari A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1023","created_at":"2021-09-30T08:23:09.275Z","updated_at":"2021-09-30T08:23:09.275Z"}],"licence_links":[],"grants":[{"id":1549,"fairsharing_record_id":2062,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:11.063Z","updated_at":"2021-09-30T09:25:11.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1551,"fairsharing_record_id":2062,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:25:11.138Z","updated_at":"2021-09-30T09:25:11.138Z","grant_id":null,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1550,"fairsharing_record_id":2062,"organisation_id":1058,"relation":"funds","created_at":"2021-09-30T09:25:11.101Z","updated_at":"2021-09-30T09:28:58.251Z","grant_id":36,"is_lead":false,"saved_state":{"id":1058,"name":"French Government, France","grant":"ANR MIRI BLAN08-1335497","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2063","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:24:10.722Z","metadata":{"doi":"10.25504/FAIRsharing.we178a","name":"World-2DPAGE Repository","status":"deprecated","contacts":[],"homepage":"https://world-2dpage.expasy.org/repository/","citations":[],"identifier":2063,"description":"A public standards-compliant repository for gel-based proteomics data linked to protein identification published in the literature, and stores a collection of multi-species reference maps, with thousands of identified spots..","abbreviation":"World-2DPAGE","data_curation":{"type":"not found"},"support_links":[{"url":"https://world-2dpage.expasy.org/contact","type":"Contact form"},{"url":"https://world-2dpage.expasy.org/swiss-2dpage/docs/manch2d.html","name":"SWISS-2DPAGE User Manual","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://world-2dpage.expasy.org/make2ddb/","name":"Make 2D-DB II 3.10.2"}],"deprecation_date":"2023-05-04","deprecation_reason":"As described on the database homepage, World-2DPAGE is no longer maintained. Previously submitted data can, however, still be queried.","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000530","bsg-d000530"],"name":"FAIRsharing record for: World-2DPAGE Repository","abbreviation":"World-2DPAGE","url":"https://fairsharing.org/10.25504/FAIRsharing.we178a","doi":"10.25504/FAIRsharing.we178a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A public standards-compliant repository for gel-based proteomics data linked to protein identification published in the literature, and stores a collection of multi-species reference maps, with thousands of identified spots..","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Proteomics"],"domains":["Molecular structure","2D PAGE image","Protein identification","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1841,"pubmed_id":18617148,"title":"The World-2DPAGE Constellation to promote and publish gel-based proteomics data through the ExPASy server.","year":2008,"url":"http://doi.org/10.1016/j.jprot.2008.02.005","authors":"Hoogland C,Mostaguir K,Appel RD,Lisacek F","journal":"J Proteomics","doi":"10.1016/j.jprot.2008.02.005","created_at":"2021-09-30T08:25:46.763Z","updated_at":"2021-09-30T08:25:46.763Z"}],"licence_links":[{"licence_name":"ExPASy Terms of Use","licence_id":305,"licence_url":"https://www.expasy.org/terms-of-use","link_id":769,"relation":"undefined"}],"grants":[{"id":1552,"fairsharing_record_id":2063,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:11.180Z","updated_at":"2023-05-04T11:27:41.406Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2047","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:44.096Z","metadata":{"doi":"10.25504/FAIRsharing.2s4n8r","name":"MEROPS","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"merops@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/merops/","identifier":2047,"description":"The MEROPS database is an information resource for peptidases (also termed proteases, proteinases and proteolytic enzymes) and the proteins that inhibit them.","abbreviation":"MEROPS","data_curation":{"type":"not found"},"support_links":[{"url":"http://meropsdb.wordpress.com","type":"Blog/News"},{"url":"https://www.ebi.ac.uk/merops/about/index.shtml","type":"Help documentation"}],"year_creation":1996,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012783","name":"re3data:r3d100012783","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007777","name":"SciCrunch:RRID:SCR_007777","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000514","bsg-d000514"],"name":"FAIRsharing record for: MEROPS","abbreviation":"MEROPS","url":"https://fairsharing.org/10.25504/FAIRsharing.2s4n8r","doi":"10.25504/FAIRsharing.2s4n8r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MEROPS database is an information resource for peptidases (also termed proteases, proteinases and proteolytic enzymes) and the proteins that inhibit them.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12679}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Molecular structure","Proteolytic digest","Protein structure","Protein domain","Nucleic acid sequence","DNA sequence data","Enzyme","Structure","Protein","Amino acid sequence","Protease site"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":405,"pubmed_id":17991683,"title":"MEROPS: the peptidase database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm954","authors":"Rawlings ND., Morton FR., Kok CY., Kong J., Barrett AJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm954","created_at":"2021-09-30T08:23:04.008Z","updated_at":"2021-09-30T08:23:04.008Z"},{"id":1404,"pubmed_id":29145643,"title":"The MEROPS database of proteolytic enzymes, their substrates and inhibitors in 2017 and a comparison with peptidases in the PANTHER database.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1134","authors":"Rawlings ND,Barrett AJ,Thomas PD,Huang X,Bateman A,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1134","created_at":"2021-09-30T08:24:56.981Z","updated_at":"2021-09-30T11:29:07.960Z"},{"id":1571,"pubmed_id":8439290,"title":"Evolutionary families of peptidases.","year":1993,"url":"http://doi.org/10.1042/bj2900205","authors":"Rawlings ND,Barrett AJ","journal":"Biochem J","doi":"10.1042/bj2900205","created_at":"2021-09-30T08:25:16.159Z","updated_at":"2021-09-30T08:25:16.159Z"},{"id":1572,"pubmed_id":9847218,"title":"MEROPS: the peptidase database.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.325","authors":"Rawlings ND,Barrett AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/27.1.325","created_at":"2021-09-30T08:25:16.257Z","updated_at":"2021-09-30T11:29:14.110Z"},{"id":1573,"pubmed_id":22086950,"title":"MEROPS: the database of proteolytic enzymes, their substrates and inhibitors.","year":2011,"url":"http://doi.org/10.1093/nar/gkr987","authors":"Rawlings ND,Barrett AJ,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr987","created_at":"2021-09-30T08:25:16.357Z","updated_at":"2021-09-30T11:29:14.212Z"},{"id":1676,"pubmed_id":26527717,"title":"Twenty years of the MEROPS database of proteolytic enzymes, their substrates and inhibitors.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1118","authors":"Rawlings ND,Barrett AJ,Finn R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1118","created_at":"2021-09-30T08:25:27.768Z","updated_at":"2021-09-30T11:29:18.418Z"},{"id":1742,"pubmed_id":26455268,"title":"Peptidase specificity from the substrate cleavage collection in the MEROPS database and a tool to measure cleavage site conservation.","year":2015,"url":"http://doi.org/10.1016/j.biochi.2015.10.003","authors":"Rawlings ND","journal":"Biochimie","doi":"10.1016/j.biochi.2015.10.003","created_at":"2021-09-30T08:25:35.438Z","updated_at":"2021-09-30T08:25:35.438Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1429,"relation":"undefined"}],"grants":[{"id":1499,"fairsharing_record_id":2047,"organisation_id":851,"relation":"maintains","created_at":"2021-09-30T09:25:09.032Z","updated_at":"2021-09-30T09:25:09.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":851,"name":"EMBL-EBI Industry Programme, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1498,"fairsharing_record_id":2047,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:08.994Z","updated_at":"2021-09-30T09:29:06.575Z","grant_id":97,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1501,"fairsharing_record_id":2047,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:09.162Z","updated_at":"2021-09-30T09:29:58.836Z","grant_id":497,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/N00521X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1500,"fairsharing_record_id":2047,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:09.120Z","updated_at":"2021-09-30T09:32:11.764Z","grant_id":1511,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458808","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7891,"fairsharing_record_id":2047,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:29:29.953Z","updated_at":"2021-09-30T09:29:30.010Z","grant_id":273,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT077044/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9245,"fairsharing_record_id":2047,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.967Z","updated_at":"2022-04-11T12:07:24.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2048","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-09T09:34:32.168Z","metadata":{"doi":"10.25504/FAIRsharing.xshwbf","name":"Sanger Pfam Mirror","status":"deprecated","contacts":[{"contact_name":"General Help","contact_email":"pfam-help@sanger.ac.uk"}],"homepage":"http://pfam.sanger.ac.uk/","citations":[],"identifier":2048,"description":"The Pfam database contains information about protein domains and families. For each entry a protein sequence alignment and a Hidden Markov Model is stored.","abbreviation":"Sanger Pfam","data_curation":{"type":"not found"},"support_links":[{"url":"http://pfam.sanger.ac.uk/help","type":"Help documentation"},{"url":"http://pfam.sanger.ac.uk/help#tabview=tab2","type":"Help documentation"},{"url":"http://pfam.sanger.ac.uk/help#tabview=tab3","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://pfam.sanger.ac.uk/search","name":"search"},{"url":"http://pfam.sanger.ac.uk/browse","name":"browse"},{"url":"http://pfam.sanger.ac.uk/search#tabview=tab2","name":"BLAST"}],"deprecation_date":"2016-05-10","deprecation_reason":"The maintainers associated with this resource have informed us that it is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000515","bsg-d000515"],"name":"FAIRsharing record for: Sanger Pfam Mirror","abbreviation":"Sanger Pfam","url":"https://fairsharing.org/10.25504/FAIRsharing.xshwbf","doi":"10.25504/FAIRsharing.xshwbf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pfam database contains information about protein domains and families. For each entry a protein sequence alignment and a Hidden Markov Model is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":664,"pubmed_id":22127870,"title":"The Pfam protein families database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1065","authors":"Punta M., Coggill PC., Eberhardt RY., Mistry J., Tate J., Boursnell C., Pang N., Forslund K., Ceric G., Clements J., Heger A., Holm L., Sonnhammer EL., Eddy SR., Bateman A., Finn RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1065","created_at":"2021-09-30T08:23:33.296Z","updated_at":"2021-09-30T08:23:33.296Z"},{"id":911,"pubmed_id":19920124,"title":"The Pfam protein families database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp985","authors":"Finn RD., Mistry J., Tate J., Coggill P., Heger A., Pollington JE., Gavin OL., Gunasekaran P., Ceric G., Forslund K., Holm L., Sonnhammer EL., Eddy SR., Bateman A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp985","created_at":"2021-09-30T08:24:00.612Z","updated_at":"2021-09-30T08:24:00.612Z"},{"id":2296,"pubmed_id":24288371,"title":"Pfam: the protein families database.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1223","authors":"Finn RD,Bateman A,Clements J,Coggill P,Eberhardt RY,Eddy SR,Heger A,Hetherington K,Holm L,Mistry J,Sonnhammer EL,Tate J,Punta M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1223","created_at":"2021-09-30T08:26:40.493Z","updated_at":"2021-09-30T11:29:32.662Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1603,"relation":"undefined"}],"grants":[{"id":1504,"fairsharing_record_id":2048,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:09.264Z","updated_at":"2021-09-30T09:25:09.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1502,"fairsharing_record_id":2048,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:09.210Z","updated_at":"2021-09-30T09:29:30.022Z","grant_id":273,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT077044/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9223,"fairsharing_record_id":2048,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.521Z","updated_at":"2022-04-11T12:07:23.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2049","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:00.731Z","metadata":{"doi":"10.25504/FAIRsharing.mr293q","name":"The Vertebrate Genome Annotation Database","status":"deprecated","contacts":[{"contact_name":"Jennifer L Harrow","contact_email":"jla1@sanger.ac.uk","contact_orcid":"0000-0003-0338-3070"}],"homepage":"https://vega.archive.ensembl.org/index.html","citations":[],"identifier":2049,"description":"The Vertebrate Genome Annotation (VEGA) database is a central repository for high quality manual annotation of vertebrate finished genome sequence.","abbreviation":"VEGA","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://vega.sanger.ac.uk/Help/Contact/","type":"Contact form"},{"url":"http://vega.sanger.ac.uk/info/index.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://vega.sanger.ac.uk/Multi/blastview","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012575","name":"re3data:r3d100012575","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007907","name":"SciCrunch:RRID:SCR_007907","portal":"SciCrunch"}],"deprecation_date":"2022-06-15","deprecation_reason":"The final update of Vega, version 68, was released in February 2017 and is archived at vega.archive.ensembl.org. The resource was maintained until Feb 2020. Manual annotation by the Havana group will continue after this and will be accessible through GENCODE and Ensembl.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000516","bsg-d000516"],"name":"FAIRsharing record for: The Vertebrate Genome Annotation Database","abbreviation":"VEGA","url":"https://fairsharing.org/10.25504/FAIRsharing.mr293q","doi":"10.25504/FAIRsharing.mr293q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vertebrate Genome Annotation (VEGA) database is a central repository for high quality manual annotation of vertebrate finished genome sequence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Sequence","Gene","Genome"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":493,"pubmed_id":18003653,"title":"The vertebrate genome annotation (Vega) database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm987","authors":"Wilming LG., Gilbert JG., Howe K., Trevanion S., Hubbard T., Harrow JL.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm987","created_at":"2021-09-30T08:23:13.576Z","updated_at":"2021-09-30T08:23:13.576Z"},{"id":1141,"pubmed_id":24316575,"title":"The Vertebrate Genome Annotation browser 10 years on.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1241","authors":"Harrow JL, Steward CA, Frankish A, Gilbert JG, Gonzalez JM, Loveland JE, Mudge J, Sheppard D, Thomas M, Trevanion S, Wilming LG.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1241","created_at":"2021-09-30T08:24:26.817Z","updated_at":"2021-09-30T08:24:26.817Z"}],"licence_links":[{"licence_name":"Ensembl Privacy Statement","licence_id":282,"licence_url":"http://www.ensembl.org/info/about/legal/privacy.html","link_id":1169,"relation":"undefined"}],"grants":[{"id":1507,"fairsharing_record_id":2049,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:09.370Z","updated_at":"2021-09-30T09:25:09.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1506,"fairsharing_record_id":2049,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:09.333Z","updated_at":"2021-09-30T09:30:48.056Z","grant_id":877,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K009524/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1505,"fairsharing_record_id":2049,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:09.294Z","updated_at":"2021-09-30T09:29:06.590Z","grant_id":97,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1508,"fairsharing_record_id":2049,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:09.413Z","updated_at":"2021-09-30T09:32:15.821Z","grant_id":1539,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5U54HG004555","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2057","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:30.748Z","metadata":{"doi":"10.25504/FAIRsharing.x93ckv","name":"Stanford Microarray Database","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"array@genomics.princeton.edu"}],"homepage":"http://smd.princeton.edu/","identifier":2057,"description":"The Stanford Microarray Database is a repository a microarray based gene expression and comparative genomics data. This resource is no longer being maintained please us public repositories NCBI Gene Expression Omnibus or EBI Array Express","abbreviation":"SMD","data_curation":{"type":"not found"},"support_links":[{"url":"http://smd.princeton.edu/help/FAQ.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://smd.princeton.edu/help/index.shtml","type":"Help documentation"},{"url":"http://smd.princeton.edu/help/tutorials_subpage.shtml","type":"Training documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010555","name":"re3data:r3d100010555","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004987","name":"SciCrunch:RRID:SCR_004987","portal":"SciCrunch"}],"deprecation_date":"2016-12-21","deprecation_reason":"The database has been retired in January 2014.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000524","bsg-d000524"],"name":"FAIRsharing record for: Stanford Microarray Database","abbreviation":"SMD","url":"https://fairsharing.org/10.25504/FAIRsharing.x93ckv","doi":"10.25504/FAIRsharing.x93ckv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Stanford Microarray Database is a repository a microarray based gene expression and comparative genomics data. This resource is no longer being maintained please us public repositories NCBI Gene Expression Omnibus or EBI Array Express","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":675,"pubmed_id":17182626,"title":"The Stanford Microarray Database: implementation of new analysis tools and open source release of software.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1019","authors":"Demeter J., Beauheim C., Gollub J., Hernandez-Boussard T., Jin H., Maier D., Matese JC., Nitzberg M., Wymore F., Zachariah ZK., Brown PO., Sherlock G., Ball CA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1019","created_at":"2021-09-30T08:23:34.446Z","updated_at":"2021-09-30T08:23:34.446Z"}],"licence_links":[],"grants":[{"id":1534,"fairsharing_record_id":2057,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.450Z","updated_at":"2021-09-30T09:31:07.416Z","grant_id":1027,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 HG003469","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1533,"fairsharing_record_id":2057,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:25:10.403Z","updated_at":"2021-09-30T09:25:10.403Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2058","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:56:58.673Z","metadata":{"doi":"10.25504/FAIRsharing.t7yckc","name":"Pharmacogenomics Knowledge Base","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"feedback@pharmgkb.org"}],"homepage":"https://www.pharmgkb.org/","citations":[],"identifier":2058,"description":"PharmGKB curates primary genotype and phenotype data, annotates gene variants and gene-drug-disease relationships via literature review, and summarizes important PGx genes and drug pathways. PharmGKB collects, curates and disseminates knowledge about the impact of human genetic variation on drug responses.","abbreviation":"PharmGKB","data_curation":{"url":"https://www.pharmgkb.org/page/faqs#what-data-are-manually-curated","type":"manual/automated"},"support_links":[{"url":"http://pharmgkb.blogspot.com","type":"Blog/News"},{"url":"https://www.pharmgkb.org/feedback","type":"Contact form"},{"url":"http://www.pharmgkb.org/page/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/pharmgkb","type":"Twitter"}],"year_creation":2001,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012325","name":"re3data:r3d100012325","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002689","name":"SciCrunch:RRID:SCR_002689","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000525","bsg-d000525"],"name":"FAIRsharing record for: Pharmacogenomics Knowledge Base","abbreviation":"PharmGKB","url":"https://fairsharing.org/10.25504/FAIRsharing.t7yckc","doi":"10.25504/FAIRsharing.t7yckc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PharmGKB curates primary genotype and phenotype data, annotates gene variants and gene-drug-disease relationships via literature review, and summarizes important PGx genes and drug pathways. PharmGKB collects, curates and disseminates knowledge about the impact of human genetic variation on drug responses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12681},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16193}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Expression data","Drug","Phenotype","Classification","Pathway model","Gene","Sequence variant","Gene-disease association","Genotype","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":498,"pubmed_id":11908751,"title":"Integrating genotype and phenotype information: an overview of the PharmGKB project. Pharmacogenetics Research Network and Knowledge Base.","year":2002,"url":"http://doi.org/10.1038/sj.tpj.6500035","authors":"Klein TE., Chang JT., Cho MK., Easton KL., Fergerson R., Hewett M., Lin Z., Liu Y., Liu S., Oliver DE., Rubin DL., Shafa F., Stuart JM., Altman RB.,","journal":"Pharmacogenomics J.","doi":"10.1038/sj.tpj.6500035","created_at":"2021-09-30T08:23:14.101Z","updated_at":"2021-09-30T08:23:14.101Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1084,"relation":"undefined"},{"licence_name":"PharmGKB Data Usage Policy","licence_id":661,"licence_url":"https://www.pharmgkb.org/page/dataUsagePolicy","link_id":1085,"relation":"undefined"}],"grants":[{"id":1537,"fairsharing_record_id":2058,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.526Z","updated_at":"2021-09-30T09:25:10.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1536,"fairsharing_record_id":2058,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:10.499Z","updated_at":"2021-09-30T09:29:54.142Z","grant_id":459,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R24 GM61374","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1535,"fairsharing_record_id":2058,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:25:10.473Z","updated_at":"2021-09-30T09:25:10.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFFCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7b5a4cbda608fcf58b6992075869e40ea5f34044/wordmark.png?disposition=inline","exhaustive_licences":false}},{"id":"2043","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:34:00.996Z","metadata":{"doi":"10.25504/FAIRsharing.2ma4gq","name":"Ligand Expo","status":"ready","contacts":[{"contact_name":"John Westbrook","contact_email":"jwest@rcsb.rutgers.edu","contact_orcid":"0000-0002-6686-5475"}],"homepage":"http://ligand-depot.rutgers.edu/","identifier":2043,"description":"Ligand Expo is a data resource for finding information about small molecules bound to proteins and nucleic acids. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry.","abbreviation":"Ligand Expo","data_curation":{"type":"not found"},"support_links":[{"url":"deposit@deposit.rcsb.org","type":"Support email"},{"url":"http://ligand-depot.rutgers.edu/help.html","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000510","bsg-d000510"],"name":"FAIRsharing record for: Ligand Expo","abbreviation":"Ligand Expo","url":"https://fairsharing.org/10.25504/FAIRsharing.2ma4gq","doi":"10.25504/FAIRsharing.2ma4gq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ligand Expo is a data resource for finding information about small molecules bound to proteins and nucleic acids. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Nucleic acid sequence","Protein interaction","Chemical entity","Small molecule binding","Molecular interaction","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":504,"pubmed_id":15059838,"title":"Ligand Depot: a data warehouse for ligands bound to macromolecules.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth214","authors":"Feng Z., Chen L., Maddula H., Akcan O., Oughtred R., Berman HM., Westbrook J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth214","created_at":"2021-09-30T08:23:14.852Z","updated_at":"2021-09-30T08:23:14.852Z"}],"licence_links":[{"licence_name":"Ligand Expo Attribution required","licence_id":491,"licence_url":"http://ligand-depot.rutgers.edu/acknowledgements.html","link_id":1720,"relation":"undefined"}],"grants":[{"id":1480,"fairsharing_record_id":2043,"organisation_id":2476,"relation":"maintains","created_at":"2021-09-30T09:25:08.265Z","updated_at":"2021-09-30T09:25:08.265Z","grant_id":null,"is_lead":false,"saved_state":{"id":2476,"name":"Rutgers, The State University of New Jersey, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2046","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-11T07:48:56.481Z","metadata":{"doi":"10.25504/FAIRsharing.bh0k78","name":"Nucleic Acid Database","status":"deprecated","contacts":[{"contact_email":"ndbadmin@ndbserver.rutgers.edu"}],"homepage":"http://ndbserver.rutgers.edu/","citations":[],"identifier":2046,"description":"The Nucleic Acids Database contains information about experimentally-determined nucleic acids and complex assemblies. NDB can be used to perform searches based on annotations relating to sequence, structure and function, and to download, analyze, and learn about nucleic acids.","abbreviation":"NDB","data_curation":{},"support_links":[{"url":"http://ndbserver.rutgers.edu/ndbmodule/ndb-help.html","type":"Help documentation"},{"url":"http://ndbserver.rutgers.edu/ndbmodule/education/education.html","type":"Training documentation"}],"year_creation":1991,"data_versioning":"not found","associated_tools":[{"url":"http://tesla.pcbi.upenn.edu/savor/","name":"SAVoR"},{"url":"http://rna.bgsu.edu/rna3dhub/motifs","name":"RNA 3D Motif Atlas"},{"url":"http://www.bgsu.edu/research/rna/web-applications/webfr3d.html","name":"WebFR3D"},{"url":"http://rna.bgsu.edu/r3dalign/","name":"R3D Align"},{"url":"http://web.x3dna.org/","name":"w3DNA 2.0"},{"url":"http://www.dnatco.org","name":"DNATCO 3.2"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010551","name":"re3data:r3d100010551","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003255","name":"SciCrunch:RRID:SCR_003255","portal":"SciCrunch"}],"deprecation_date":"2023-07-06","deprecation_reason":"This website (ndbserver.rutgers.edu) will be retired in early July 2023. At that time, all NDB web traffic will forward to nakb.org. Links to individual entry NDB atlas pages will redirect to NAKB atlas pages. Questions/comments? please contact ndbadmin@ndbserver.rutgers.edu.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000513","bsg-d000513"],"name":"FAIRsharing record for: Nucleic Acid Database","abbreviation":"NDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bh0k78","doi":"10.25504/FAIRsharing.bh0k78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nucleic Acids Database contains information about experimentally-determined nucleic acids and complex assemblies. NDB can be used to perform searches based on annotations relating to sequence, structure and function, and to download, analyze, and learn about nucleic acids.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10962}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":500,"pubmed_id":1384741,"title":"The nucleic acid database. A comprehensive relational database of three-dimensional structures of nucleic acids.","year":1992,"url":"http://doi.org/10.1016/S0006-3495(92)81649-1","authors":"Berman HM., Olson WK., Beveridge DL., Westbrook J., Gelbin A., Demeny T., Hsieh SH., Srinivasan AR., Schneider B.,","journal":"Biophys. J.","doi":"10.1016/S0006-3495(92)81649-1","created_at":"2021-09-30T08:23:14.310Z","updated_at":"2021-09-30T08:23:14.310Z"},{"id":1372,"pubmed_id":24185695,"title":"The Nucleic Acid Database: new features and capabilities.","year":2013,"url":"http://doi.org/10.1093/nar/gkt980","authors":"Coimbatore Narayanan B,Westbrook J,Ghosh S,Petrov AI,Sweeney B,Zirbel CL,Leontis NB,Berman HM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt980","created_at":"2021-09-30T08:24:53.459Z","updated_at":"2021-09-30T11:29:07.468Z"},{"id":2849,"pubmed_id":27805162,"title":"The Nucleic Acid Database: Present and Future.","year":1996,"url":"http://doi.org/10.6028/jres.101.026","authors":"Berman HM,Gelbin A,Clowney L,Hsieh SH,Zardecki C,Westbrook J","journal":"J Res Natl Inst Stand Technol","doi":"10.6028/jres.101.026","created_at":"2021-09-30T08:27:50.482Z","updated_at":"2021-09-30T08:27:50.482Z"}],"licence_links":[],"grants":[{"id":1494,"fairsharing_record_id":2046,"organisation_id":2476,"relation":"maintains","created_at":"2021-09-30T09:25:08.873Z","updated_at":"2021-09-30T09:25:08.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":2476,"name":"Rutgers, The State University of New Jersey, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1496,"fairsharing_record_id":2046,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:08.922Z","updated_at":"2021-09-30T09:25:08.922Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1493,"fairsharing_record_id":2046,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:08.840Z","updated_at":"2021-09-30T09:29:12.018Z","grant_id":136,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM085328","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1495,"fairsharing_record_id":2046,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:08.897Z","updated_at":"2021-09-30T09:29:56.897Z","grant_id":481,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI 0829586","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8140,"fairsharing_record_id":2046,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:10.105Z","updated_at":"2021-09-30T09:31:10.164Z","grant_id":1049,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BIR 9510703","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2056","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:58.788Z","metadata":{"doi":"10.25504/FAIRsharing.ty3dqs","name":"Protein ANalysis THrough Evolutionary Relationships: Classification of Genes and Proteins","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"feedback@pantherdb.org"}],"homepage":"http://www.pantherdb.org","citations":[{"doi":"10.1093/nar/gkw1138","pubmed_id":27899595,"publication_id":1024}],"identifier":2056,"description":"The PANTHER (Protein ANalysis THrough Evolutionary Relationships) Classification System is a unique resource that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function even in the absence of direct experimental evidence.","abbreviation":"PANTHER","data_curation":{"url":"https://www.pantherdb.org/about.jsp","type":"manual/automated"},"support_links":[{"url":"http://www.pantherdb.org/feedback.jsp","type":"Contact form"},{"url":"http://www.pantherdb.org/help/PANTHERhelp.jsp","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","associated_tools":[{"url":"http://www.pantherdb.org/tools/hmmScoreForm.jsp?","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.pantherdb.org/about.jsp","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000523","bsg-d000523"],"name":"FAIRsharing record for: Protein ANalysis THrough Evolutionary Relationships: Classification of Genes and Proteins","abbreviation":"PANTHER","url":"https://fairsharing.org/10.25504/FAIRsharing.ty3dqs","doi":"10.25504/FAIRsharing.ty3dqs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PANTHER (Protein ANalysis THrough Evolutionary Relationships) Classification System is a unique resource that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function even in the absence of direct experimental evidence.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11094},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12248},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16194}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence similarity","Evidence","Function analysis","Evolution","Classification","Protein","Pathway model","Gene","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":["Evolutionary relationship between proteins via sequence similarity"],"countries":["United States"],"publications":[{"id":487,"pubmed_id":12952881,"title":"PANTHER: a library of protein families and subfamilies indexed by function.","year":2003,"url":"http://doi.org/10.1101/gr.772403","authors":"Thomas PD., Campbell MJ., Kejariwal A., Mi H., Karlak B., Daverman R., Diemer K., Muruganujan A., Narechania A.,","journal":"Genome Res.","doi":"10.1101/gr.772403","created_at":"2021-09-30T08:23:12.969Z","updated_at":"2021-09-30T08:23:12.969Z"},{"id":1024,"pubmed_id":27899595,"title":"PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1138","authors":"Mi H,Huang X,Muruganujan A,Tang H,Mills C,Kang D,Thomas PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1138","created_at":"2021-09-30T08:24:13.386Z","updated_at":"2021-09-30T11:28:56.992Z"},{"id":1028,"pubmed_id":23868073,"title":"Large-scale gene function analysis with the PANTHER classification system.","year":2013,"url":"http://doi.org/10.1038/nprot.2013.092","authors":"Mi H,Muruganujan A,Casagrande JT,Thomas PD","journal":"Nat Protoc","doi":"10.1038/nprot.2013.092","created_at":"2021-09-30T08:24:13.815Z","updated_at":"2021-09-30T08:24:13.815Z"},{"id":1029,"pubmed_id":27193693,"title":"PANTHER-PSEP: predicting disease-causing genetic variants using position-specific evolutionary preservation.","year":2016,"url":"http://doi.org/10.1093/bioinformatics/btw222","authors":"Tang H,Thomas PD","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btw222","created_at":"2021-09-30T08:24:13.924Z","updated_at":"2021-09-30T08:24:13.924Z"},{"id":1047,"pubmed_id":19597783,"title":"PANTHER pathway: an ontology-based pathway database coupled with data analysis tools.","year":2009,"url":"http://doi.org/10.1007/978-1-60761-175-2_7","authors":"Mi H,Thomas P","journal":"Methods Mol Biol","doi":"10.1007/978-1-60761-175-2_7","created_at":"2021-09-30T08:24:15.897Z","updated_at":"2021-09-30T08:24:15.897Z"}],"licence_links":[{"licence_name":"Panther DB Data Policies and Disclaimer","licence_id":648,"licence_url":"http://www.pantherdb.org/terms/disclaimer.jsp","link_id":404,"relation":"undefined"},{"licence_name":"Panther Website Privacy Policy","licence_id":649,"licence_url":"http://www.pantherdb.org/terms/privacyPolicy.jsp","link_id":406,"relation":"undefined"}],"grants":[{"id":1532,"fairsharing_record_id":2056,"organisation_id":2857,"relation":"maintains","created_at":"2021-09-30T09:25:10.364Z","updated_at":"2021-09-30T09:25:10.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":2857,"name":"Thomas lab, University of Southern California","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1531,"fairsharing_record_id":2056,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:10.275Z","updated_at":"2021-09-30T09:29:05.934Z","grant_id":92,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM081084","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2064","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:05:30.328Z","metadata":{"doi":"10.25504/FAIRsharing.scsnja","name":"Signaling Pathway Integrated Knowledge Engine","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"spike@post.tau.ac.il"}],"homepage":"http://www.cs.tau.ac.il/~spike/","citations":[],"identifier":2064,"description":"SPIKE (Signaling Pathway Integrated Knowledge Engine) is an interactive software environment that graphically displays biological signaling networks, allows dynamic layout and navigation through these networks, and enables the superposition of DNA microarray and other functional genomics data on interaction maps.","abbreviation":"SPIKE","data_curation":{"url":"www.cs.tau.ac.il/~spike/upcoming.html","type":"manual/automated"},"support_links":[{"url":"http://www.cs.tau.ac.il/~spike/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","data_access_condition":{"url":"http://www.cs.tau.ac.il/~spike/download/","type":"open","notes":"Browsing and downloading the database does not require registration or login."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000531","bsg-d000531"],"name":"FAIRsharing record for: Signaling Pathway Integrated Knowledge Engine","abbreviation":"SPIKE","url":"https://fairsharing.org/10.25504/FAIRsharing.scsnja","doi":"10.25504/FAIRsharing.scsnja","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SPIKE (Signaling Pathway Integrated Knowledge Engine) is an interactive software environment that graphically displays biological signaling networks, allows dynamic layout and navigation through these networks, and enables the superposition of DNA microarray and other functional genomics data on interaction maps.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12684}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Expression data","Network model","Deoxyribonucleic acid","Signaling"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":533,"pubmed_id":21097778,"title":"SPIKE: a database of highly curated human signaling pathways.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1167","authors":"Paz A., Brownstein Z., Ber Y., Bialik S., David E., Sagir D., Ulitsky I., Elkon R., Kimchi A., Avraham KB., Shiloh Y., Shamir R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1167","created_at":"2021-09-30T08:23:18.242Z","updated_at":"2021-09-30T08:23:18.242Z"}],"licence_links":[],"grants":[{"id":1554,"fairsharing_record_id":2064,"organisation_id":1561,"relation":"funds","created_at":"2021-09-30T09:25:11.314Z","updated_at":"2021-09-30T09:25:11.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":1561,"name":"Israel Science Foundation, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1557,"fairsharing_record_id":2064,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:11.407Z","updated_at":"2021-09-30T09:25:11.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1553,"fairsharing_record_id":2064,"organisation_id":2725,"relation":"maintains","created_at":"2021-09-30T09:25:11.270Z","updated_at":"2021-09-30T09:25:11.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":2725,"name":"Tel Aviv University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1555,"fairsharing_record_id":2064,"organisation_id":129,"relation":"funds","created_at":"2021-09-30T09:25:11.351Z","updated_at":"2021-09-30T09:25:11.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":129,"name":"Ataxia Telangiectasia Children's Project, FL, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1556,"fairsharing_record_id":2064,"organisation_id":3241,"relation":"funds","created_at":"2021-09-30T09:25:11.383Z","updated_at":"2021-09-30T09:25:11.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":3241,"name":"Wolfson Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2059","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:34:59.001Z","metadata":{"doi":"10.25504/FAIRsharing.63m4ss","name":"HAMAP database of microbial protein families","status":"ready","contacts":[{"contact_name":"Alan Bridge","contact_email":"alan.bridge@isb-sib.ch","contact_orcid":"0000-0003-2148-9135"}],"homepage":"https://hamap.expasy.org/","citations":[],"identifier":2059,"description":"HAMAP is a system, based on manual protein annotation, that identifies and semi-automatically annotates proteins that are part of well-conserved families or subfamilies: the HAMAP families. HAMAP is based on manually created family rules and is applied to bacterial, archaeal and plastid-encoded proteins.","abbreviation":"HAMAP","data_curation":{"url":"https://hamap.expasy.org/hamap_details.html","type":"manual/automated","notes":"HAMAP stands for High-quality Automated and Manual Annotation of Proteins."},"support_links":[{"url":"https://hamap.expasy.org/contact","type":"Contact form"},{"url":"http://hamap.expasy.org/unirule/unirule.html","type":"Help documentation"},{"url":"http://hamap.expasy.org/hamap_doc.html","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://hamap.expasy.org/hamap_scan.html","name":"analyze"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000526","bsg-d000526"],"name":"FAIRsharing record for: HAMAP database of microbial protein families","abbreviation":"HAMAP","url":"https://fairsharing.org/10.25504/FAIRsharing.63m4ss","doi":"10.25504/FAIRsharing.63m4ss","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HAMAP is a system, based on manual protein annotation, that identifies and semi-automatically annotates proteins that are part of well-conserved families or subfamilies: the HAMAP families. HAMAP is based on manually created family rules and is applied to bacterial, archaeal and plastid-encoded proteins.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11529}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence annotation","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1511,"pubmed_id":23193261,"title":"HAMAP in 2013, new developments in the protein family classification and annotation system.","year":2012,"url":"http://doi.org/10.1093/nar/gks1157","authors":"Pedruzzi I., Rivoire C., Auchincloss AH., Coudert E., Keller G., de Castro E., Baratin D., Cuche BA., Bougueleret L., Poux S., Redaschi N., Xenarios I., Bridge A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1157","created_at":"2021-09-30T08:25:09.153Z","updated_at":"2021-09-30T08:25:09.153Z"},{"id":1976,"pubmed_id":25348399,"title":"HAMAP in 2015: updates to the protein family classification and annotation system.","year":2014,"url":"http://doi.org/10.1093/nar/gku1002","authors":"Pedruzzi I,Rivoire C,Auchincloss AH,Coudert E,Keller G,de Castro E,Baratin D,Cuche BA,Bougueleret L,Poux S,Redaschi N,Xenarios I,Bridge A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1002","created_at":"2021-09-30T08:26:02.346Z","updated_at":"2021-09-30T11:29:25.111Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":854,"relation":"undefined"},{"licence_name":"ExPASy Terms of Use","licence_id":305,"licence_url":"https://www.expasy.org/terms-of-use","link_id":859,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":855,"relation":"undefined"}],"grants":[{"id":1542,"fairsharing_record_id":2059,"organisation_id":2635,"relation":"funds","created_at":"2021-09-30T09:25:10.721Z","updated_at":"2021-09-30T09:25:10.721Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1539,"fairsharing_record_id":2059,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:25:10.595Z","updated_at":"2021-09-30T09:32:12.969Z","grant_id":1520,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"JRP09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1541,"fairsharing_record_id":2059,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:10.680Z","updated_at":"2021-09-30T09:32:45.439Z","grant_id":1764,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U41HG006104","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1538,"fairsharing_record_id":2059,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:10.558Z","updated_at":"2024-03-27T21:13:52.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1540,"fairsharing_record_id":2059,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.638Z","updated_at":"2021-09-30T09:25:10.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8412,"fairsharing_record_id":2059,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:32:31.718Z","updated_at":"2021-09-30T09:32:31.763Z","grant_id":1661,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"JRP13","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ca50c6050260c6ee4769280a49fff47fa8daa924/HAMAP_Red_Logo_trans.png?disposition=inline","exhaustive_licences":false}},{"id":"2030","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:42:29.826Z","metadata":{"doi":"10.25504/FAIRsharing.6bd5k6","name":"Orphanet","status":"ready","contacts":[{"contact_email":"partnerships.orphanet@inserm.fr"}],"homepage":"http://www.orpha.net/consor/cgi-bin/index.php?lng=EN","citations":[],"identifier":2030,"description":"Orphanet is the reference resource for information on rare diseases and orphan drugs for all publics. Its aim is to contribute to the improvement of the diagnosis, care and treatment of patients with rare diseases. Orphanet maintains the Orphanet nomenclature, essential for interoperability, and the Orphanet Rare Disease Ontology (ORDO).","abbreviation":"Orphanet","data_curation":{"url":"https://www.orpha.net/orphacom/cahiers/docs/GB/eproc_expert_centres_R2_PatCar_Cns_EP_02.pdf","type":"manual","notes":"Three steps of data validation insure the quality and the acuracy of the data."},"support_links":[{"url":"contact.orphanet@inserm.fr","name":"Contact email","type":"Support email"},{"url":"http://www.orpha.net/consor/cgi-bin/","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCKMLSL9hlrxz6zKFod5IlnA","name":"Orphanet Tutorials","type":"Video"},{"url":"https://twitter.com/orphanet","type":"Twitter"}],"year_creation":1997,"data_versioning":"no","associated_tools":[{"url":"http://www.orphadata.org/cgi-bin/index.php/","name":"Orphadata"},{"url":"http://www.orphadata.org/cgi-bin/inc/ordo_orphanet.inc.php","name":"ORDO 2"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.orpha.net/consor/cgi-bin/Education_Procedure.php?lng=EN","type":"controlled","notes":"Procedural documents on data collection and registration are available (expert centers, patient organizations...)"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000497","bsg-d000497"],"name":"FAIRsharing record for: Orphanet","abbreviation":"Orphanet","url":"https://fairsharing.org/10.25504/FAIRsharing.6bd5k6","doi":"10.25504/FAIRsharing.6bd5k6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Orphanet is the reference resource for information on rare diseases and orphan drugs for all publics. Its aim is to contribute to the improvement of the diagnosis, care and treatment of patients with rare diseases. Orphanet maintains the Orphanet nomenclature, essential for interoperability, and the Orphanet Rare Disease Ontology (ORDO).","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11351},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11845},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12167},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19552}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Human Genetics","Biomedical Science","Human Biology"],"domains":["Drug","Rare disease","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","European Union"],"publications":[{"id":2126,"pubmed_id":19058507,"title":"[Orphanet and the Dutch Steering Committee Orphan Drugs. A European and Dutch databank of information on rare diseases].","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19058507","authors":"Liem SL.,","journal":"Ned Tijdschr Tandheelkd","doi":null,"created_at":"2021-09-30T08:26:19.725Z","updated_at":"2021-09-30T08:26:19.725Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":472,"relation":"undefined"}],"grants":[{"id":1447,"fairsharing_record_id":2030,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:06.896Z","updated_at":"2021-09-30T09:32:28.129Z","grant_id":1633,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"E-Rare 3","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1446,"fairsharing_record_id":2030,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:25:06.870Z","updated_at":"2021-09-30T09:25:06.870Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1445,"fairsharing_record_id":2030,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:25:06.846Z","updated_at":"2021-09-30T09:30:21.459Z","grant_id":673,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"831390","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2118","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:20.350Z","metadata":{"doi":"10.25504/FAIRsharing.3etvdn","name":"VectorBase","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@vectorbase.org"}],"homepage":"https://vectorbase.org/vectorbase/app","citations":[],"identifier":2118,"description":"VectorBase is a web-accessible data repository for information about invertebrate vectors of human pathogens. VectorBase annotates and maintains vector genomes (as well as a number of non-vector genomes for comparative analysis) providing an integrated resource for the research community. VectorBase contains genome information for organisms such as Anopheles gambiae, a vector for the Plasmodium protozoan agent causing malaria, and Aedes aegypti, a vector for the flaviviral agents causing Yellow fever and Dengue fever. Hosted data range from genome assemblies with annotated gene features, transcript and protein expression data to population genetics including variation and insecticide-resistance phenotypes.","abbreviation":"VectorBase","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"info@vectorbase.org","name":"info@vectorbase.org","type":"Support email"},{"url":"https://vectorbase.org/vectorbase/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://twitter.com/VectorBase","name":"@VectorBase","type":"Twitter"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010880","name":"re3data:r3d100010880","portal":"re3data"}],"data_access_condition":{"url":"https://vectorbase.org/vectorbase/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://vectorbase.org/vectorbase/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://vectorbase.org/vectorbase/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000588","bsg-d000588"],"name":"FAIRsharing record for: VectorBase","abbreviation":"VectorBase","url":"https://fairsharing.org/10.25504/FAIRsharing.3etvdn","doi":"10.25504/FAIRsharing.3etvdn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VectorBase is a web-accessible data repository for information about invertebrate vectors of human pathogens. VectorBase annotates and maintains vector genomes (as well as a number of non-vector genomes for comparative analysis) providing an integrated resource for the research community. VectorBase contains genome information for organisms such as Anopheles gambiae, a vector for the Plasmodium protozoan agent causing malaria, and Aedes aegypti, a vector for the flaviviral agents causing Yellow fever and Dengue fever. Hosted data range from genome assemblies with annotated gene features, transcript and protein expression data to population genetics including variation and insecticide-resistance phenotypes.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10801},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10971},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11102},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12693}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Population Dynamics","Genomics","Comparative Genomics","Population Genetics"],"domains":["Molecular structure","Expression data","DNA sequence data","Gene Ontology enrichment","Annotation","DNA structural variation","Insecticide resistance","Pathogen","Phenotype","Structure","Protein","Gene","Genome","Genotype","Karyotype"],"taxonomies":["Aedes aegypti","Anopheles gambiae","Chelicerata","Culicidae","Diptera","Gastropoda","Hemiptera","Ixodida","Phthiraptera"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":680,"pubmed_id":19028744,"title":"VectorBase: a data resource for invertebrate vector genomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn857","authors":"Lawson D., Arensburger P., Atkinson P. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn857","created_at":"2021-09-30T08:23:34.944Z","updated_at":"2021-09-30T08:23:34.944Z"},{"id":1308,"pubmed_id":25510499,"title":"VectorBase: an updated bioinformatics resource for invertebrate vectors and other organisms related with human diseases.","year":2014,"url":"http://doi.org/10.1093/nar/gku1117","authors":"Giraldo-Calderon GI,Emrich SJ,MacCallum RM,Maslen G,Dialynas E,Topalis P,Ho N,Gesing S,Madey G,Collins FH,Lawson D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1117","created_at":"2021-09-30T08:24:46.064Z","updated_at":"2021-09-30T11:29:05.859Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2385,"relation":"undefined"}],"grants":[{"id":1696,"fairsharing_record_id":2118,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:17.046Z","updated_at":"2021-09-30T09:29:56.423Z","grant_id":478,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN75N93019C00077","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9576,"fairsharing_record_id":2118,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:23:29.443Z","updated_at":"2022-06-08T09:23:29.443Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1694,"fairsharing_record_id":2118,"organisation_id":2854,"relation":"maintains","created_at":"2021-09-30T09:25:16.983Z","updated_at":"2021-09-30T09:25:16.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":1695,"fairsharing_record_id":2118,"organisation_id":250,"relation":"maintains","created_at":"2021-09-30T09:25:17.011Z","updated_at":"2021-09-30T09:25:17.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1693,"fairsharing_record_id":2118,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:16.945Z","updated_at":"2021-09-30T09:31:28.050Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8361,"fairsharing_record_id":2118,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.892Z","updated_at":"2021-09-30T09:32:15.014Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdG9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c4372feffb1b9dfa2761ff27a1a2c53b2fa18c60/vectorbase.png?disposition=inline","exhaustive_licences":false}},{"id":"2119","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T18:35:18.971Z","metadata":{"doi":"10.25504/FAIRsharing.nvmk6r","name":"Phosphorylation Site Database","status":"deprecated","contacts":[{"contact_email":"psite@vt.edu"}],"homepage":"http://www.phosphorylation.biochem.vt.edu/","citations":[],"identifier":2119,"description":"The Phosphorylation Site Database provides ready access to information from the primary scientific literature concerning proteins in prokaryotic organisms (i.e. members of the domains Archaea and Bacteria) that undergo covalent phosphorylation on the hydroxyl side chains of serine, threonine, and/or tyrosine residues","abbreviation":"PSD","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2015-07-15","deprecation_reason":"This resource has been retired and is no longer maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000589","bsg-d000589"],"name":"FAIRsharing record for: Phosphorylation Site Database","abbreviation":"PSD","url":"https://fairsharing.org/10.25504/FAIRsharing.nvmk6r","doi":"10.25504/FAIRsharing.nvmk6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Phosphorylation Site Database provides ready access to information from the primary scientific literature concerning proteins in prokaryotic organisms (i.e. members of the domains Archaea and Bacteria) that undergo covalent phosphorylation on the hydroxyl side chains of serine, threonine, and/or tyrosine residues","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics"],"domains":["Protein"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1697,"fairsharing_record_id":2119,"organisation_id":3189,"relation":"maintains","created_at":"2021-09-30T09:25:17.078Z","updated_at":"2021-09-30T09:25:17.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":3189,"name":"Virginia Polytechnic Institute and State University, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2122","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:36.460Z","metadata":{"doi":"10.25504/FAIRsharing.qrv60a","name":"Saccharomyces cerevisiae Transcription Factor Database","status":"deprecated","contacts":[{"contact_name":"Gary D. Stormo","contact_email":"stormo@wustl.edu"}],"homepage":"http://stormo.wustl.edu/ScerTF/","citations":[],"identifier":2122,"description":"ScerTF is a database of position weight matrices (PWMs) for transcription factors in Saccharomyces species. It identifies a single matrix for each TF that best predicts in vivo data, providing metrics related to the performance of that matrix in accurately representing the DNA binding specificity of the annotated transcription factor.","abbreviation":"ScerTF","data_curation":{"type":"not found"},"support_links":[{"url":"ScerTF@genetics.wustl.edu","type":"Support email"},{"url":"http://stormo.wustl.edu/ScerTF/about/","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000592","bsg-d000592"],"name":"FAIRsharing record for: Saccharomyces cerevisiae Transcription Factor Database","abbreviation":"ScerTF","url":"https://fairsharing.org/10.25504/FAIRsharing.qrv60a","doi":"10.25504/FAIRsharing.qrv60a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ScerTF is a database of position weight matrices (PWMs) for transcription factors in Saccharomyces species. It identifies a single matrix for each TF that best predicts in vivo data, providing metrics related to the performance of that matrix in accurately representing the DNA binding specificity of the annotated transcription factor.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Protein domain","Nucleotide","Transcription factor","Sequence","Binding site"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1811,"pubmed_id":22140105,"title":"ScerTF: a comprehensive database of benchmarked position weight matrices for Saccharomyces species.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1180","authors":"Spivak AT., Stormo GD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1180","created_at":"2021-09-30T08:25:43.271Z","updated_at":"2021-09-30T08:25:43.271Z"}],"licence_links":[{"licence_name":"ScerTF Attribution required","licence_id":729,"licence_url":"http://stormo.wustl.edu/ScerTF/","link_id":2215,"relation":"undefined"}],"grants":[{"id":11609,"fairsharing_record_id":2122,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:36.417Z","updated_at":"2024-03-21T13:59:36.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2129","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:58.640Z","metadata":{"doi":"10.25504/FAIRsharing.dxj07r","name":"MGnify","status":"ready","contacts":[{"contact_name":"Robert D Finn","contact_email":"rdf@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/metagenomics/","citations":[{"doi":"10.1093/nar/gkz1035","pubmed_id":31696235,"publication_id":2769}],"identifier":2129,"description":"EBI Metagenomics has changed its name to MGnify to reflect a change in scope. This is a free-to-use resource aiming at supporting all metagenomics researchers. The service is an automated pipeline for the analysis and archiving of metagenomic data that aims to provide insights into the phylogenetic diversity as well as the functional and metabolic potential of a sample. You can freely browse all the public data in the repository.","abbreviation":"MGnify","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/support/metagenomics","name":"Metagenomics Contact Form","type":"Contact form"},{"url":"metagenomics-help@ebi.ac.uk","name":"General contact","type":"Support email"},{"url":"https://www.ebi.ac.uk/metagenomics/help","name":"Help","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/metagenomics/about","name":"About MGnify","type":"Help documentation"},{"url":"https://emg-docs.readthedocs.io/en/latest/","name":"MGnify documentation","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/ebi-metagenomics-portal-submitting-metagenomics-data-to-the-european-nucleotide-archive","name":"Ebi metagenomics portal submitting metagenomics data to the european nucleotide archive","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/ebi-metagenomics-portal-quick-tour","name":"Ebi metagenomics portal quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/course/ebi-metagenomics-portal-submitting-metagenomics-da","name":"Submitting metagenomics data to ENA","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ebi-metagenomics-portal-quick-tour","name":"MGnify Quick tour","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ebi-metagenomics-analysing-and-exploring-metagenomics-data","name":"Analysing and exploring metagenomics data","type":"Training documentation"},{"url":"https://twitter.com/MGnifyDB","name":"@MGnifyDB","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011192","name":"re3data:r3d100011192","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/metagenomics/login","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000599","bsg-d000599"],"name":"FAIRsharing record for: MGnify","abbreviation":"MGnify","url":"https://fairsharing.org/10.25504/FAIRsharing.dxj07r","doi":"10.25504/FAIRsharing.dxj07r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EBI Metagenomics has changed its name to MGnify to reflect a change in scope. This is a free-to-use resource aiming at supporting all metagenomics researchers. The service is an automated pipeline for the analysis and archiving of metagenomic data that aims to provide insights into the phylogenetic diversity as well as the functional and metabolic potential of a sample. You can freely browse all the public data in the repository.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10976},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11359},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12172},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12697},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13906}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Taxonomy","Phylogeny","Biodiversity","Phylogenomics","Life Science","Biomedical Science"],"domains":["DNA sequence data","Annotation","Sequence annotation","Gene prediction","Metagenome","Non-coding RNA","Gene","16S rRNA","Genome","Microbiome"],"taxonomies":["All","Anopheles gambiae","Arabidopsis thaliana","Bos indicus","Bos taurus","Bubalus bubalis","Clostridium Difficile","Escherichia coli","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Metatranscriptome"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":749,"pubmed_id":24165880,"title":"EBI metagenomics--a new resource for the analysis and archiving of metagenomic data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt961","authors":"Hunter S,Corbett M,Denise H,Fraser M,Gonzalez-Beltran A,Hunter C,Jones P,Leinonen R,McAnulla C,Maguire E,Maslen J,Mitchell A,Nuka G,Oisel A,Pesseat S,Radhakrishnan R,Rocca-Serra P,Scheremetjew M,Sterk P,Vaughan D,Cochrane G,Field D,Sansone SA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt961","created_at":"2021-09-30T08:23:42.475Z","updated_at":"2021-09-30T11:28:49.600Z"},{"id":2760,"pubmed_id":29069476,"title":"EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies.","year":2017,"url":"http://doi.org/10.1093/nar/gkx967","authors":"Mitchell AL,Scheremetjew M,Denise H,Potter S,Tarkowska A,Qureshi M,Salazar GA,Pesseat S,Boland MA,Hunter FMI,Ten Hoopen P,Alako B,Amid C,Wilkinson DJ,Curtis TP,Cochrane G,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx967","created_at":"2021-09-30T08:27:39.196Z","updated_at":"2021-09-30T11:29:42.928Z"},{"id":2769,"pubmed_id":31696235,"title":"MGnify: the microbiome analysis resource in 2020.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1035","authors":"Mitchell AL,Almeida A,Beracochea M,Boland M,Burgin J,Cochrane G,Crusoe MR,Kale V,Potter SC,Richardson LJ,Sakharova E,Scheremetjew M,Korobeynikov A,Shlemov A,Kunyavskaya O,Lapidus A,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1035","created_at":"2021-09-30T08:27:40.312Z","updated_at":"2021-09-30T11:29:43.587Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1706,"relation":"undefined"}],"grants":[{"id":1735,"fairsharing_record_id":2129,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:25:18.701Z","updated_at":"2021-09-30T09:31:33.153Z","grant_id":1221,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"18-54-74004","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7894,"fairsharing_record_id":2129,"organisation_id":1264,"relation":"funds","created_at":"2021-09-30T09:29:31.301Z","updated_at":"2021-09-30T09:29:31.354Z","grant_id":282,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"817729","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8377,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:21.327Z","updated_at":"2021-09-30T09:32:21.402Z","grant_id":1582,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/N018354/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8398,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:27.410Z","updated_at":"2021-09-30T09:32:27.465Z","grant_id":1628,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I025840/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1738,"fairsharing_record_id":2129,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:18.826Z","updated_at":"2021-09-30T09:25:18.826Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1737,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:18.784Z","updated_at":"2021-09-30T09:29:13.361Z","grant_id":145,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M011453/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1739,"fairsharing_record_id":2129,"organisation_id":1353,"relation":"funds","created_at":"2021-09-30T09:25:18.864Z","updated_at":"2021-09-30T09:30:39.258Z","grant_id":808,"is_lead":false,"saved_state":{"id":1353,"name":"InnovateUK","grant":"102513","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1736,"fairsharing_record_id":2129,"organisation_id":1264,"relation":"funds","created_at":"2021-09-30T09:25:18.743Z","updated_at":"2021-09-30T09:29:30.431Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8276,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:52.440Z","updated_at":"2021-09-30T09:31:52.497Z","grant_id":1366,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I02612X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8343,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:12.519Z","updated_at":"2021-09-30T09:32:12.597Z","grant_id":1517,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M011755/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8400,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:27.818Z","updated_at":"2021-09-30T09:32:27.909Z","grant_id":1631,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000771/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8445,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:40.343Z","updated_at":"2021-09-30T09:32:40.399Z","grant_id":1727,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/R015228/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9224,"fairsharing_record_id":2129,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.574Z","updated_at":"2022-04-11T12:07:23.592Z","grant_id":717,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7 grant MICROB3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2130","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:14.318Z","metadata":{"doi":"10.25504/FAIRsharing.cr410r","name":"Soybean Knowledge Base","status":"ready","contacts":[{"contact_name":"Dr. Trupti Joshi","contact_email":"joshitr@missouri.edu"}],"homepage":"http://soykb.org/","identifier":2130,"description":"Soybean Knowledge Base (SoyKB), is a comprehensive all-inclusive web resource developed for soybean translational genomics and molecular breeding. SoyKB stores information about genes/proteins, miRNAs/sRNAs, metabolites, SNPs, plant introduction (PI lines) and traits. It handles the management and integration of soybean genomics and multi-omics data along with gene function annotations, biological pathway and trait information. It has many useful tools including gene family search, multiple gene/metabolite analysis, motif analysis tool, protein 3D structure viewer and data download and upload capacity. It has a user-friendly web interface together with genome browser and pathway viewer, which displays data in an intuitive manner to the soybean researchers, breeders and consumers. The QTLs, SNP, GWAS and traits information is seamlessly integrated in our newly developed suite of tools for the In Silico Breeding Program. It allows integration and extraction of the data in a tabular format as well as graphical visualization in our in-house Chromosome Visualizer. It also supports integration and visualization of Genotype by Sequencing (GBS) data for molecular breeding and phenotypic inferences. In addition, SoyKB now has capacity for incorporation of DNA methylation data and fast neutron mutation datasets. It is also linked seamlessly with P3DB for phosphorylation data. We have also incorporated suite of tools for differential expression analysis for microarray, transcriptomics RNA-seq, proteomics and metabolomics datasets. It includes access to gene lists, Venn diagrams, Volcano plots, functional annotations and pathway analysis. SoyKB is now powered by the iPlant Cyber-Infrastructure. The website is hosted on the iPlant’s advanced computing infrastructure established to leverage the data analysis capabilities.","abbreviation":"SoyKB","data_curation":{"type":"not found"},"support_links":[{"url":"http://soykb.org/contact.php","type":"Contact form"},{"url":"joshitr@missouri.edu","type":"Support email"},{"url":"xudong@missouri.edu","type":"Support email"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://soykb.org/search/gene_pathway.php","name":"Gene Pathway Viewer"},{"url":"http://soykb.org/search/metabolite_pathway.php","name":"Metabolite Pathway Viewer"},{"url":"http://soykb.org/Breeder_Tool_Box/index.php","name":"In Silico Breeding Program Suite of Tools"},{"url":"http://soykb.org/search/protein_structure.php","name":"3D Protein Structure"},{"url":"http://soykb.org/DiffExp/diffExp.php","name":"Differential Expression Suite of Tools"},{"url":"http://soykb.org/blast.php","name":"Blast"},{"url":"http://soykb.org/clustal.php","name":"Multiple Sequence Alignment"},{"url":"http://soykb.org/proteinbioview/protein2DImageSystem/search.php","name":"ProteinBioView"},{"url":"http://soykb.org/heatmap/heatmap.php","name":"Heatmap and Hierarchical Clustering"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://soykb.org/upload.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000600","bsg-d000600"],"name":"FAIRsharing record for: Soybean Knowledge Base","abbreviation":"SoyKB","url":"https://fairsharing.org/10.25504/FAIRsharing.cr410r","doi":"10.25504/FAIRsharing.cr410r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Soybean Knowledge Base (SoyKB), is a comprehensive all-inclusive web resource developed for soybean translational genomics and molecular breeding. SoyKB stores information about genes/proteins, miRNAs/sRNAs, metabolites, SNPs, plant introduction (PI lines) and traits. It handles the management and integration of soybean genomics and multi-omics data along with gene function annotations, biological pathway and trait information. It has many useful tools including gene family search, multiple gene/metabolite analysis, motif analysis tool, protein 3D structure viewer and data download and upload capacity. It has a user-friendly web interface together with genome browser and pathway viewer, which displays data in an intuitive manner to the soybean researchers, breeders and consumers. The QTLs, SNP, GWAS and traits information is seamlessly integrated in our newly developed suite of tools for the In Silico Breeding Program. It allows integration and extraction of the data in a tabular format as well as graphical visualization in our in-house Chromosome Visualizer. It also supports integration and visualization of Genotype by Sequencing (GBS) data for molecular breeding and phenotypic inferences. In addition, SoyKB now has capacity for incorporation of DNA methylation data and fast neutron mutation datasets. It is also linked seamlessly with P3DB for phosphorylation data. We have also incorporated suite of tools for differential expression analysis for microarray, transcriptomics RNA-seq, proteomics and metabolomics datasets. It includes access to gene lists, Venn diagrams, Volcano plots, functional annotations and pathway analysis. SoyKB is now powered by the iPlant Cyber-Infrastructure. The website is hosted on the iPlant’s advanced computing infrastructure established to leverage the data analysis capabilities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Proteomics","Computational Biology","Life Science","Metabolomics","Transcriptomics"],"domains":["DNA methylation","Germ plasm","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Phenotype","Micro RNA","Single nucleotide polymorphism","Genome","Genome-wide association study"],"taxonomies":["Glycine max"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":231,"pubmed_id":null,"title":"Soybean Knowledge Base (SoyKB): A web resource for integration of soybean translational genomics and molecular breeding","year":2013,"url":"http://doi.org/10.1093/nar/gkt905","authors":"Joshi T, Fitzpatrick MR, Chen S, Liu Y, Zhang H, Endacott RZ, Gaudiello EC, Stacey G, Nguyen HT, Xu D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt905","created_at":"2021-09-30T08:22:44.948Z","updated_at":"2021-09-30T08:22:44.948Z"},{"id":570,"pubmed_id":22369646,"title":"Soybean Knowledge Base (SoyKB): a web resource for soybean translational genomics.","year":2012,"url":"http://doi.org/10.1186/1471-2164-13-S1-S15","authors":"Joshi T, Patil K, Fitzpatrick MR, Franklin LD, Yao Q, Cook JR, Wang Z, Libault M, Brechenmacher L, Valliyodan B, Wu X, Cheng J, Stacey G, Nguyen HT, Xu D.","journal":"BMC Genomics","doi":"10.1186/1471-2164-13-S1-S15","created_at":"2021-09-30T08:23:22.370Z","updated_at":"2021-09-30T08:23:22.370Z"}],"licence_links":[],"grants":[{"id":1741,"fairsharing_record_id":2130,"organisation_id":3098,"relation":"maintains","created_at":"2021-09-30T09:25:18.943Z","updated_at":"2021-09-30T09:25:18.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":3098,"name":"University of Missouri, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2114","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:56.546Z","metadata":{"doi":"10.25504/FAIRsharing.p06nme","name":"Biological Magnetic Resonance Data Bank","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"help@bmrb.io","contact_orcid":null}],"homepage":"https://bmrb.io/","citations":[{"doi":"10.1093/nar/gkm957","pubmed_id":17984079,"publication_id":1723}],"identifier":2114,"description":"BMRB collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR spectroscopic investigations of biological macromolecules and metabolites. Its goal is to empower scientists in their analysis of the structure, dynamics, and chemistry of biological systems and to support further development of the field of biomolecular NMR spectroscopy.","abbreviation":"BMRB","data_curation":{"url":"https://bmrb.io/bmrb/data_accepted.shtml","type":"manual/automated","notes":"Validation Process"},"support_links":[{"url":"https://bmrb.io/bmrb/news/","name":"News","type":"Blog/News"},{"url":"https://bmrb.io/education/","name":"Education and Outreach","type":"Help documentation"},{"url":"https://bmrb.io/standards/","name":"Standards Used","type":"Help documentation"}],"year_creation":1988,"data_versioning":"no","associated_tools":[{"url":"https://bmrb.io/validate/","name":"Validation Tools Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010191","name":"re3data:r3d100010191","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002296","name":"SciCrunch:RRID:SCR_002296","portal":"SciCrunch"}],"data_access_condition":{"url":"https://bmrb.io/bmrb/aims_and_policies.shtml","type":"open","notes":"BioMagResBank (BMRB) is the publicly-accessible depository"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://bmrb.io/deposit/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000584","bsg-d000584"],"name":"FAIRsharing record for: Biological Magnetic Resonance Data Bank","abbreviation":"BMRB","url":"https://fairsharing.org/10.25504/FAIRsharing.p06nme","doi":"10.25504/FAIRsharing.p06nme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BMRB collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR spectroscopic investigations of biological macromolecules and metabolites. Its goal is to empower scientists in their analysis of the structure, dynamics, and chemistry of biological systems and to support further development of the field of biomolecular NMR spectroscopy.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10970},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13116},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13548},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20016}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","Protein structure","Peptide","Molecular entity","Nucleic acid","Ligand","Nuclear Magnetic Resonance (NMR) spectroscopy","Spectrum","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":552,"pubmed_id":18288446,"title":"BioMagResBank (BMRB) as a partner in the Worldwide Protein Data Bank (wwPDB): new policies affecting biomolecular NMR depositions.","year":2008,"url":"http://doi.org/10.1007/s10858-008-9221-y","authors":"Markley JL., Ulrich EL., Berman HM., Henrick K., Nakamura H., Akutsu H.,","journal":"J. Biomol. NMR","doi":"10.1007/s10858-008-9221-y","created_at":"2021-09-30T08:23:20.259Z","updated_at":"2021-09-30T08:23:20.259Z"},{"id":1723,"pubmed_id":17984079,"title":"BioMagResBank.","year":2007,"url":"http://doi.org/10.1093/nar/gkm957","authors":"Ulrich EL,Akutsu H,Doreleijers JF,Harano Y,Ioannidis YE,Lin J,Livny M,Mading S,Maziuk D,Miller Z,Nakatani E,Schulte CF,Tolmie DE,Kent Wenger R,Yao H,Markley JL","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm957","created_at":"2021-09-30T08:25:33.068Z","updated_at":"2021-09-30T11:29:19.360Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2783,"relation":"applies_to_content"}],"grants":[{"id":1683,"fairsharing_record_id":2114,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:16.571Z","updated_at":"2021-09-30T09:25:16.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9748,"fairsharing_record_id":2114,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T12:55:09.635Z","updated_at":"2022-08-02T12:55:09.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1685,"fairsharing_record_id":2114,"organisation_id":3152,"relation":"maintains","created_at":"2021-09-30T09:25:16.646Z","updated_at":"2021-09-30T09:25:16.646Z","grant_id":null,"is_lead":true,"saved_state":{"id":3152,"name":"University of Wisconsin-Madison","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8676,"fairsharing_record_id":2114,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-06T12:13:53.962Z","updated_at":"2022-01-06T12:13:53.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":9161,"fairsharing_record_id":2114,"organisation_id":2045,"relation":"funds","created_at":"2022-04-11T12:07:18.511Z","updated_at":"2022-04-11T12:07:18.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbmNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--53151fdfcdd1a0243364d3988b9a7549378a3bc1/Screenshot%20from%202022-08-02%2013-51-00.png?disposition=inline","exhaustive_licences":false}},{"id":"2115","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:17:15.578Z","metadata":{"doi":"10.25504/FAIRsharing.anpa6","name":"A Systematic Annotation Package","status":"ready","contacts":[{"contact_name":"Paul Liss","contact_email":"pmliss@wisc.edu"}],"homepage":"https://asap.ahabs.wisc.edu/asap/home.php","citations":[],"identifier":2115,"description":"ASAP is a relational database and web interface developed to store, update and distribute genome sequence data and gene expression data. It was designed to facilitate ongoing community annotation of genomes and to grow with genome projects as they move from the preliminary data stage through post-sequencing functional analysis.","abbreviation":"ASAP","data_curation":{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?LocationID=\u0026SequenceVersionID=\u0026GenomeID=\u0026ExpSetID=#_Curators","type":"manual"},"support_links":[{"url":"ASAPdbAdmin@ahabs.wisc.edu","type":"Support email"},{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010666","name":"re3data:r3d100010666","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001849","name":"SciCrunch:RRID:SCR_001849","portal":"SciCrunch"}],"data_access_condition":{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?LocationID=\u0026SequenceVersionID=\u0026GenomeID=\u0026ExpSetID=#_UserPermissions","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?LocationID=\u0026SequenceVersionID=\u0026GenomeID=\u0026ExpSetID=#_Submitters","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000585","bsg-d000585"],"name":"FAIRsharing record for: A Systematic Annotation Package","abbreviation":"ASAP","url":"https://fairsharing.org/10.25504/FAIRsharing.anpa6","doi":"10.25504/FAIRsharing.anpa6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ASAP is a relational database and web interface developed to store, update and distribute genome sequence data and gene expression data. It was designed to facilitate ongoing community annotation of genomes and to grow with genome projects as they move from the preliminary data stage through post-sequencing functional analysis.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12692}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Developmental Biology","Life Science","Comparative Genomics"],"domains":["Expression data","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":537,"pubmed_id":12519969,"title":"ASAP, a systematic annotation package for community analysis of genomes.","year":2003,"url":"http://doi.org/10.1093/nar/gkg125","authors":"Glasner JD., Liss P., Plunkett G., Darling A., Prasad T., Rusch M., Byrnes A., Gilson M., Biehl B., Blattner FR., Perna NT.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg125","created_at":"2021-09-30T08:23:18.676Z","updated_at":"2021-09-30T08:23:18.676Z"}],"licence_links":[],"grants":[{"id":1688,"fairsharing_record_id":2115,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:16.753Z","updated_at":"2021-09-30T09:31:04.526Z","grant_id":1004,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM35682-15A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8201,"fairsharing_record_id":2115,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:29.048Z","updated_at":"2021-09-30T09:31:29.106Z","grant_id":1190,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM62994-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1687,"fairsharing_record_id":2115,"organisation_id":3152,"relation":"maintains","created_at":"2021-09-30T09:25:16.721Z","updated_at":"2021-09-30T09:25:16.721Z","grant_id":null,"is_lead":false,"saved_state":{"id":3152,"name":"University of Wisconsin-Madison","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1686,"fairsharing_record_id":2115,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:16.683Z","updated_at":"2021-09-30T09:31:36.476Z","grant_id":1246,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"2001-52100-11316","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2116","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:25.725Z","metadata":{"doi":"10.25504/FAIRsharing.2mayq0","name":"Structural and functional annotation of Arabidopsis thaliana gene and protein families","status":"deprecated","contacts":[{"contact_email":"aubourg@evry.inra.fr"}],"homepage":"http://urgi.versailles.inra.fr/Genefarm/index.htpl","identifier":2116,"description":"GeneFarm is a database whose purpose is to store traceable annotations for Arabidopsis nuclear genes and gene products.","abbreviation":"GeneFarm","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://urgi.versailles.inra.fr/Genefarm/Search/search_frame.htpl","name":"search"},{"url":"http://urgi.versailles.inra.fr/Genefarm/Search/search_frame.htpl","name":"advanced search"},{"url":"http://urgi.versailles.inra.fr/Genefarm/Search/search_frame.htpl","name":"BLAST"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000586","bsg-d000586"],"name":"FAIRsharing record for: Structural and functional annotation of Arabidopsis thaliana gene and protein families","abbreviation":"GeneFarm","url":"https://fairsharing.org/10.25504/FAIRsharing.2mayq0","doi":"10.25504/FAIRsharing.2mayq0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneFarm is a database whose purpose is to store traceable annotations for Arabidopsis nuclear genes and gene products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Nucleotide","Sequence","Genome"],"taxonomies":["Arabidopsis thaliana","Viridiplantae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":587,"pubmed_id":15608279,"title":"GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts.","year":2004,"url":"http://doi.org/10.1093/nar/gki115","authors":"Aubourg S., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki115","created_at":"2021-09-30T08:23:24.318Z","updated_at":"2021-09-30T08:23:24.318Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1547,"relation":"undefined"}],"grants":[{"id":1689,"fairsharing_record_id":2116,"organisation_id":2917,"relation":"maintains","created_at":"2021-09-30T09:25:16.777Z","updated_at":"2021-09-30T09:25:16.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":2917,"name":"Unit de Recherches en Gnomique Info (URGI), Versailles, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2117","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:31.460Z","metadata":{"doi":"10.25504/FAIRsharing.bn6jba","name":"Poxvirus Bioinformatics Resource Center","status":"deprecated","contacts":[{"contact_name":"Elliot Lefkowitz","contact_email":"elliotl@uab.edu"}],"homepage":"http://www.poxvirus.org","identifier":2117,"description":"Poxvirus Bioinformatics Resource Center has been established to provide specialized web-based resources to the scientific community studying poxviruses. This resource is no longer being maintained. For tools and data supporting virus genomics, especially related to poxviruses and other large DNA viruses, please visit the Viral Bioinformatics site maintained by our collaborator, Chris Upton: http://virology.ca For information on virus taxonomy, please visit the ICTV web site at http://www.ictvonline.org/ For updated sequence data and analytical tools, please visit http://www.viprbrc.org","abbreviation":null,"data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://www.poxvirus.org/blast.asp","name":"BLAST"}],"deprecation_date":"2016-12-28","deprecation_reason":"This resource is no longer being maintained due to lack of resources to maintain the website.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000587","bsg-d000587"],"name":"FAIRsharing record for: Poxvirus Bioinformatics Resource Center","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bn6jba","doi":"10.25504/FAIRsharing.bn6jba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Poxvirus Bioinformatics Resource Center has been established to provide specialized web-based resources to the scientific community studying poxviruses. This resource is no longer being maintained. For tools and data supporting virus genomics, especially related to poxviruses and other large DNA viruses, please visit the Viral Bioinformatics site maintained by our collaborator, Chris Upton: http://virology.ca For information on virus taxonomy, please visit the ICTV web site at http://www.ictvonline.org/ For updated sequence data and analytical tools, please visit http://www.viprbrc.org","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Structure","Protein","Genome"],"taxonomies":["Poxviridae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":577,"pubmed_id":15608205,"title":"Poxvirus Bioinformatics Resource Center: a comprehensive Poxviridae informational and analytical resource.","year":2004,"url":"http://doi.org/10.1093/nar/gki110","authors":"Lefkowitz EJ., Upton C., Changayil SS., Buck C., Traktman P., Buller RM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki110","created_at":"2021-09-30T08:23:23.152Z","updated_at":"2021-09-30T08:23:23.152Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":781,"relation":"undefined"}],"grants":[{"id":1690,"fairsharing_record_id":2117,"organisation_id":2101,"relation":"funds","created_at":"2021-09-30T09:25:16.801Z","updated_at":"2021-09-30T09:29:28.444Z","grant_id":261,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","grant":"OPG0155125-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1691,"fairsharing_record_id":2117,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:25:16.828Z","updated_at":"2021-09-30T09:29:43.286Z","grant_id":375,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 AI48706","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8246,"fairsharing_record_id":2117,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:31:43.374Z","updated_at":"2021-09-30T09:31:43.432Z","grant_id":1298,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 AI48653-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2109","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:43:52.147Z","metadata":{"doi":"10.25504/FAIRsharing.tpey2t","name":"Online Mendelian Inheritance in Animals","status":"ready","contacts":[{"contact_name":"Frank Nicholas","contact_email":"frank.nicholas@sydney.edu.au"}],"homepage":"https://omia.org/home/","identifier":2109,"description":"Online Mendelian Inheritance in Animals is a a database of inherited disorders, other (single-locus) traits, and genes in animal species (other than human and mouse).","abbreviation":"OMIA","data_curation":{"url":"https://omia.org/home/","type":"manual"},"support_links":[{"url":"https://omia.org/news/","name":"News","type":"Blog/News"}],"year_creation":1978,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010772","name":"re3data:r3d100010772","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006436","name":"SciCrunch:RRID:SCR_006436","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000579","bsg-d000579"],"name":"FAIRsharing record for: Online Mendelian Inheritance in Animals","abbreviation":"OMIA","url":"https://fairsharing.org/10.25504/FAIRsharing.tpey2t","doi":"10.25504/FAIRsharing.tpey2t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Online Mendelian Inheritance in Animals is a a database of inherited disorders, other (single-locus) traits, and genes in animal species (other than human and mouse).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Biology"],"domains":["Phenotype","Disorder","Classification","Gene","Genetic disorder"],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":557,"pubmed_id":16381939,"title":"OMIA (Online Mendelian Inheritance in Animals): an enhanced platform and integration into the Entrez search interface at NCBI.","year":2005,"url":"http://doi.org/10.1093/nar/gkj152","authors":"Lenffer J., Nicholas FW., Castle K., Rao A., Gregory S., Poidinger M., Mailman MD., Ranganathan S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj152","created_at":"2021-09-30T08:23:20.868Z","updated_at":"2021-09-30T08:23:20.868Z"},{"id":2080,"pubmed_id":12520001,"title":"Online Mendelian Inheritance in Animals (OMIA): a comparative knowledgebase of genetic disorders and other familial traits in non-laboratory animals.","year":2003,"url":"http://doi.org/10.1093/nar/gkg074","authors":"Nicholas FW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg074","created_at":"2021-09-30T08:26:14.533Z","updated_at":"2021-09-30T08:26:14.533Z"},{"id":2101,"pubmed_id":33156546,"title":"Online Mendelian Inheritance in Animals (OMIA): a record of advances in animal genetics, freely available on the Internet for 25 years.","year":2020,"url":"http://doi.org/10.1111/age.13010","authors":"Nicholas FW","journal":"Anim Genet","doi":"10.1111/age.13010","created_at":"2021-09-30T08:26:16.749Z","updated_at":"2021-09-30T08:26:16.749Z"}],"licence_links":[{"licence_name":"Sydney University Data Policies and Disclaimer","licence_id":765,"licence_url":"https://sydney.edu.au/disclaimer.shtml","link_id":258,"relation":"undefined"},{"licence_name":"The University of Sydney Privacy Policy","licence_id":787,"licence_url":"https://sydney.edu.au/privacy.shtml","link_id":280,"relation":"undefined"}],"grants":[{"id":1676,"fairsharing_record_id":2109,"organisation_id":3130,"relation":"maintains","created_at":"2021-09-30T09:25:16.254Z","updated_at":"2021-09-30T09:25:16.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":3130,"name":"University of Sydney, Australia","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2110","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:37.891Z","metadata":{"doi":"10.25504/FAIRsharing.cnwx8c","name":"UNITE","status":"ready","contacts":[{"contact_name":"Urmas Kõljalg","contact_email":"urmas.koljalg@ut.ee","contact_orcid":"0000-0002-5171-1668"},{"contact_name":"Kessy Abarenkov","contact_email":"kessy.abarenkov@ut.ee","contact_orcid":null}],"homepage":"https://unite.ut.ee/index.php","citations":[],"identifier":2110,"description":"UNITE is a database and sequence management environment centered on the eukaryotic nuclear ribosomal ITS region. All eukaryotic ITS sequences from the International Nucleotide Sequence Database Collaboration are clustered to approximately the species level (distance between species in steps of 0.5%), and all such species hypotheses are given a DOI to facilitate unambiguous scientific communication and data assembly. The user can interact with these species hypotheses (e.g., SH1566366.08FU) in various ways, and third-party sequence and metadata annotation are supported. Registration is needed to access the more powerful features of the accompanying PlutoF workbench. A range of search and query options are available, and precompiled reference datasets for local sequence similarity searches and HTS pipelines are available for download. Owing to the mycological roots of UNITE, two versions of the release files are available: all eukaryotes (including fungi), and fungi only. UNITE is a community effort that relies on the scientific expertise of its users – please consider contributing by, e.g., annotating sequences of your taxa of expertise.","abbreviation":null,"data_curation":{"url":"https://unite.ut.ee/curation.php","type":"manual","notes":"Third-party annotations are performed by the UNITE Community members."},"support_links":[{"url":"info@plutof.ut.ee","type":"Support email"},{"url":"https://unite.ut.ee/primers.php","name":"News, Courses \u0026 Workshops, Primer Notes","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://unite.ut.ee/analysis.php","name":"Analysis"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011316","name":"re3data:r3d100011316","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006518","name":"SciCrunch:RRID:SCR_006518","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://plutof.ut.ee/public/manuals/docs/sh_manual_3_en.pdf","type":"controlled","notes":"Only aproved members can submit data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000580","bsg-d000580"],"name":"FAIRsharing record for: UNITE","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.cnwx8c","doi":"10.25504/FAIRsharing.cnwx8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UNITE is a database and sequence management environment centered on the eukaryotic nuclear ribosomal ITS region. All eukaryotic ITS sequences from the International Nucleotide Sequence Database Collaboration are clustered to approximately the species level (distance between species in steps of 0.5%), and all such species hypotheses are given a DOI to facilitate unambiguous scientific communication and data assembly. The user can interact with these species hypotheses (e.g., SH1566366.08FU) in various ways, and third-party sequence and metadata annotation are supported. Registration is needed to access the more powerful features of the accompanying PlutoF workbench. A range of search and query options are available, and precompiled reference datasets for local sequence similarity searches and HTS pipelines are available for download. Owing to the mycological roots of UNITE, two versions of the release files are available: all eukaryotes (including fungi), and fungi only. UNITE is a community effort that relies on the scientific expertise of its users – please consider contributing by, e.g., annotating sequences of your taxa of expertise.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14016}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Bioinformatics","Taxonomy","Ecology","Biodiversity"],"domains":["Taxonomic classification","Annotation","Deoxyribonucleic acid","Ribosomal RNA","Gene","FAIR"],"taxonomies":["Eukaryota","Fungi"],"user_defined_tags":[],"countries":["Australia","Denmark","Estonia","Norway","Sweden","United Kingdom"],"publications":[{"id":541,"pubmed_id":20409185,"title":"The UNITE database for molecular identification of fungi--recent updates and future perspectives.","year":2010,"url":"http://doi.org/10.1111/j.1469-8137.2009.03160.x","authors":"Abarenkov K., Henrik Nilsson R., Larsson KH., Alexander IJ., Eberhardt U., Erland S., Høiland K., Kjøller R., Larsson E., Pennanen T., Sen R., Taylor AF., Tedersoo L., Ursing BM., Vrålstad T., Liimatainen K., Peintner U., Kõljalg U.,","journal":"New Phytol.","doi":"10.1111/j.1469-8137.2009.03160.x","created_at":"2021-09-30T08:23:19.085Z","updated_at":"2021-09-30T08:23:19.085Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Generic (CC BY-NC-ND 2.5)","licence_id":175,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/","link_id":773,"relation":"undefined"}],"grants":[{"id":9675,"fairsharing_record_id":2110,"organisation_id":3058,"relation":"collaborates_on","created_at":"2022-07-13T13:41:04.247Z","updated_at":"2022-07-13T13:41:04.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":1677,"fairsharing_record_id":2110,"organisation_id":3132,"relation":"maintains","created_at":"2021-09-30T09:25:16.291Z","updated_at":"2022-07-13T13:41:04.341Z","grant_id":null,"is_lead":true,"saved_state":{"id":3132,"name":"University of Tartu, Estonia","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBiQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b705a6367c7216a58b8ff3fe1165465a53ca7a2d/unite-logo-ring2.png?disposition=inline","exhaustive_licences":false}},{"id":"2126","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:10.301Z","metadata":{"doi":"10.25504/FAIRsharing.651n9j","name":"Electron Microscopy Data Bank","status":"ready","contacts":[{"contact_name":"Ardan Patwardhan","contact_email":"help@emdatabank.org","contact_orcid":"0000-0001-7663-9028"}],"homepage":"https://www.ebi.ac.uk/emdb/","citations":[{"doi":"10.1093/nar/gkv1126","pubmed_id":26578576,"publication_id":2978}],"identifier":2126,"description":"Cryo-electron microscopy reconstruction methods are uniquely able to reveal structures of many important macromolecules and macromolecular complexes. The Electron Microscopy Data Bank (EMDB) is a public repository for electron microscopy density maps of macromolecular complexes and subcellular structures. It covers a variety of techniques, including single-particle analysis, electron tomography, and electron (2D) crystallography. The EMDB was founded at EBI in 2002, under the leadership of Kim Henrick. Since 2007 it has been operated jointly by the PDBe, and the Research Collaboratory for Structural Bioinformatics (RCSB PDB) as a part of EMDataBank which is funded by a joint NIH grant to PDBe, the RCSB and the National Center for Macromolecular Imaging (NCMI).","abbreviation":"EMDB","data_curation":{"url":"https://www.ebi.ac.uk/emdb/documentation/policies#5","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/emdb/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/emdb/genealogy.html","name":"3DEM History and Genealogy","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/emdb/emschema.html/","name":"EMDB Data Model","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/emdb/statistics_main.html","name":"EMDB Statistics","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/emdb/policies.html","name":"Policies","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/emdb/validators.html/","name":"EM Validation Services"},{"url":"https://www.ebi.ac.uk/emdb/test_data.html","name":"Test data"},{"url":"https://www.ebi.ac.uk/emdb/validation/fsc/","name":"Fourier shell correlation server"},{"url":"https://www.ebi.ac.uk/emdb/validation/tiltpair/","name":"Tilt pair validation server"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010562","name":"re3data:r3d100010562","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006506","name":"SciCrunch:RRID:SCR_006506","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://deposit-pdbe.wwpdb.org/deposition/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000596","bsg-d000596"],"name":"FAIRsharing record for: Electron Microscopy Data Bank","abbreviation":"EMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.651n9j","doi":"10.25504/FAIRsharing.651n9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cryo-electron microscopy reconstruction methods are uniquely able to reveal structures of many important macromolecules and macromolecular complexes. The Electron Microscopy Data Bank (EMDB) is a public repository for electron microscopy density maps of macromolecular complexes and subcellular structures. It covers a variety of techniques, including single-particle analysis, electron tomography, and electron (2D) crystallography. The EMDB was founded at EBI in 2002, under the leadership of Kim Henrick. Since 2007 it has been operated jointly by the PDBe, and the Research Collaboratory for Structural Bioinformatics (RCSB PDB) as a part of EMDataBank which is funded by a joint NIH grant to PDBe, the RCSB and the National Center for Macromolecular Imaging (NCMI).","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10973},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11358},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11848},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12319},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12696},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12957},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13978},{"linking_record_name":"EVORA’s Selection of FAIRsharing Referenced Resources for Pandemic Preparedness and Response","linking_record_id":5449,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19701}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology","Virology","Epidemiology"],"domains":["Bioimaging","X-ray diffraction","Electron density map","Microscopy","Electron microscopy","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":567,"pubmed_id":20935055,"title":"EMDataBank.org: unified data resource for CryoEM","year":2010,"url":"http://doi.org/10.1093/nar/gkq880","authors":"Lawson CL, Baker ML, Best C, Bi C, Dougherty M, Feng P, van Ginkel G, Devkota B, Lagerstedt I, Ludtke SJ, Newman RH, Oldfield TJ, Rees I, Sahni G, Sala R, Velankar S, Warren J, Westbrook JD, Henrick K, Kleywegt GJ, Berman HM, Chiu W.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq880","created_at":"2021-09-30T08:23:22.001Z","updated_at":"2021-09-30T08:23:22.001Z"},{"id":670,"pubmed_id":12417136,"title":"New electron microscopy database and deposition system","year":2002,"url":"http://doi.org/10.1016/s0968-0004(02)02176-x","authors":"Tagari, M. Newman, R. Chagoyen, M. Carazo, J. M. Henrick, K.","journal":"Trends in Biochemical Sciences","doi":"10.1016/S0968-0004(02)02176-X","created_at":"2021-09-30T08:23:33.935Z","updated_at":"2021-09-30T08:23:33.935Z"},{"id":2978,"pubmed_id":26578576,"title":"EMDataBank unified data resource for 3DEM.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1126","authors":"Lawson CL,Patwardhan A,Baker ML,Hryc C,Garcia ES,Hudson BP,Lagerstedt I,Ludtke SJ,Pintilie G,Sala R,Westbrook JD,Berman HM,Kleywegt GJ,Chiu W","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1126","created_at":"2021-09-30T08:28:06.973Z","updated_at":"2021-09-30T11:29:49.395Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2782,"relation":"applies_to_content"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1861,"relation":"undefined"}],"grants":[{"id":1712,"fairsharing_record_id":2126,"organisation_id":2423,"relation":"maintains","created_at":"2021-09-30T09:25:17.637Z","updated_at":"2021-09-30T09:25:17.637Z","grant_id":null,"is_lead":true,"saved_state":{"id":2423,"name":"Research Collaboratory for Structural Bioinformatics","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":1710,"fairsharing_record_id":2126,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:17.567Z","updated_at":"2021-09-30T09:25:17.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1713,"fairsharing_record_id":2126,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:17.666Z","updated_at":"2021-09-30T09:25:17.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9741,"fairsharing_record_id":2126,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T10:05:29.732Z","updated_at":"2022-08-02T10:05:29.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":10013,"fairsharing_record_id":2126,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.788Z","updated_at":"2022-10-13T09:43:38.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8732,"fairsharing_record_id":2126,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-20T09:45:58.092Z","updated_at":"2022-01-20T09:45:58.092Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11582,"fairsharing_record_id":2126,"organisation_id":2300,"relation":"maintains","created_at":"2024-03-21T13:59:09.977Z","updated_at":"2024-03-21T13:59:09.977Z","grant_id":null,"is_lead":true,"saved_state":{"id":2300,"name":"PDBe Team, European Bioinformatics Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbllCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--18021442ee90695572715042ff5364d65b2a27a0/EMBD_logo_2017_light_background.png?disposition=inline","exhaustive_licences":false}},{"id":"2127","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:07.336Z","metadata":{"doi":"10.25504/FAIRsharing.t19hpa","name":"Integrated Taxonomic Information System","status":"ready","contacts":[{"contact_name":"Gerald Guala","contact_email":"itiswebmaster@itis.gov","contact_orcid":"0000-0002-4972-3782"}],"homepage":"https://www.itis.gov/","citations":[],"identifier":2127,"description":"The Integrated Taxonomic Information System (ITIS) provides taxonomic information on plants, animals, fungi, and microbes of North America and the world. The goal is to create an easily accessible database with reliable information on species names and their hierarchical classification. The database will be reviewed periodically to ensure high quality with valid classifications, revisions, and additions of newly described species. The ITIS includes documented taxonomic information of flora and fauna from both aquatic and terrestrial habitats.","abbreviation":"ITIS","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.itis.gov/pdf/faq_itis_tsn.pdf","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011213","name":"re3data:r3d100011213","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.itis.gov/contribute.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000597","bsg-d000597"],"name":"FAIRsharing record for: Integrated Taxonomic Information System","abbreviation":"ITIS","url":"https://fairsharing.org/10.25504/FAIRsharing.t19hpa","doi":"10.25504/FAIRsharing.t19hpa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Taxonomic Information System (ITIS) provides taxonomic information on plants, animals, fungi, and microbes of North America and the world. The goal is to create an easily accessible database with reliable information on species names and their hierarchical classification. The database will be reviewed periodically to ensure high quality with valid classifications, revisions, and additions of newly described species. The ITIS includes documented taxonomic information of flora and fauna from both aquatic and terrestrial habitats.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10974}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Taxonomy","Biodiversity","Life Science"],"domains":["Taxonomic classification","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Mexico","United States"],"publications":[],"licence_links":[{"licence_name":"ITIS Privacy Statement and Disclaimer","licence_id":462,"licence_url":"https://www.itis.gov/privacy.html","link_id":2415,"relation":"undefined"}],"grants":[{"id":1715,"fairsharing_record_id":2127,"organisation_id":2950,"relation":"maintains","created_at":"2021-09-30T09:25:17.799Z","updated_at":"2021-09-30T09:25:17.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":2950,"name":"United States Environmental Protection Agency","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1718,"fairsharing_record_id":2127,"organisation_id":2951,"relation":"maintains","created_at":"2021-09-30T09:25:17.917Z","updated_at":"2021-09-30T09:25:17.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":2951,"name":"United States Fish and Wildlife Service","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1721,"fairsharing_record_id":2127,"organisation_id":2060,"relation":"maintains","created_at":"2021-09-30T09:25:18.041Z","updated_at":"2021-09-30T09:25:18.041Z","grant_id":null,"is_lead":false,"saved_state":{"id":2060,"name":"National Park Service, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1714,"fairsharing_record_id":2127,"organisation_id":2939,"relation":"maintains","created_at":"2021-09-30T09:25:17.759Z","updated_at":"2021-09-30T09:25:17.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1716,"fairsharing_record_id":2127,"organisation_id":2953,"relation":"maintains","created_at":"2021-09-30T09:25:17.843Z","updated_at":"2021-09-30T09:25:17.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":2953,"name":"United States Geological Survey (USGS)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1717,"fairsharing_record_id":2127,"organisation_id":2579,"relation":"maintains","created_at":"2021-09-30T09:25:17.880Z","updated_at":"2021-09-30T09:25:17.880Z","grant_id":null,"is_lead":false,"saved_state":{"id":2579,"name":"Smithsonian National Museum of Natural History, Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1719,"fairsharing_record_id":2127,"organisation_id":43,"relation":"maintains","created_at":"2021-09-30T09:25:17.959Z","updated_at":"2021-09-30T09:25:17.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":43,"name":"Agriculture and Agri-Food Canada, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1720,"fairsharing_record_id":2127,"organisation_id":2103,"relation":"maintains","created_at":"2021-09-30T09:25:18.001Z","updated_at":"2021-09-30T09:25:18.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":2103,"name":"NatureServe, Arlington, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1722,"fairsharing_record_id":2127,"organisation_id":596,"relation":"maintains","created_at":"2021-09-30T09:25:18.084Z","updated_at":"2021-09-30T09:25:18.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":596,"name":"Conabio, Mexico City, Mexico","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1723,"fairsharing_record_id":2127,"organisation_id":2056,"relation":"funds","created_at":"2021-09-30T09:25:18.122Z","updated_at":"2021-09-30T09:25:18.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2111","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:06.528Z","metadata":{"doi":"10.25504/FAIRsharing.bdn9br","name":"LipidBank","status":"ready","contacts":[{"contact_name":"Etsuko Yasugi","contact_email":"yasugi@ri.imcj.go.jp"}],"homepage":"http://lipidbank.jp/index.html","citations":[],"identifier":2111,"description":"LipidBank is an open, publicly free database of natural lipids including fatty acids, glycerolipids, sphingolipids, steroids, and various vitamins.","abbreviation":"LipidBank","data_curation":{"type":"manual"},"support_links":[{"url":"metabolome@cb.k.u-tokyo.ac.jp","type":"Support email"},{"url":"http://lipidbank.jp/wiki/Category:LB","type":"Help documentation"},{"url":"http://lipidbank.jp/help/about.html","type":"Help documentation"}],"year_creation":1989,"data_versioning":"no","data_access_condition":{"url":"https://lipidbank.jp/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000581","bsg-d000581"],"name":"FAIRsharing record for: LipidBank","abbreviation":"LipidBank","url":"https://fairsharing.org/10.25504/FAIRsharing.bdn9br","doi":"10.25504/FAIRsharing.bdn9br","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LipidBank is an open, publicly free database of natural lipids including fatty acids, glycerolipids, sphingolipids, steroids, and various vitamins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Lipid","Molecular entity","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":542,"pubmed_id":12058481,"title":"[LIPIDBANK for Web, the newly developed lipid database].","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12058481","authors":"Yasugi E., Watanabe K.,","journal":"Tanpakushitsu Kakusan Koso","doi":null,"created_at":"2021-09-30T08:23:19.184Z","updated_at":"2021-09-30T08:23:19.184Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2441,"relation":"undefined"}],"grants":[{"id":1678,"fairsharing_record_id":2111,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:25:16.333Z","updated_at":"2021-09-30T09:25:16.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2112","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:01.434Z","metadata":{"doi":"10.25504/FAIRsharing.mx5cxe","name":"Bacterial Protein Interaction Database","status":"ready","contacts":[{"contact_name":"John Parkinson","contact_email":"jparkin@sickkids.ca"}],"homepage":"https://www.compsysbio.org/bacteriome/","citations":[],"identifier":2112,"description":"Bacteriome.org is a database integrating physical (protein-protein) and functional interactions within the context of an E. coli knowledgebase.","abbreviation":"Bacteriome.org","data_curation":{"type":"not found"},"support_links":[],"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012726","name":"re3data:r3d100012726","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001934","name":"SciCrunch:RRID:SCR_001934","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000582","bsg-d000582"],"name":"FAIRsharing record for: Bacterial Protein Interaction Database","abbreviation":"Bacteriome.org","url":"https://fairsharing.org/10.25504/FAIRsharing.mx5cxe","doi":"10.25504/FAIRsharing.mx5cxe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bacteriome.org is a database integrating physical (protein-protein) and functional interactions within the context of an E. coli knowledgebase.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Network model","Molecular interaction","Protein"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":544,"pubmed_id":17942431,"title":"Bacteriome.org--an integrated protein interaction database for E. coli.","year":2007,"url":"http://doi.org/10.1093/nar/gkm807","authors":"Su C., Peregrin-Alvarez JM., Butland G., Phanse S., Fong V., Emili A., Parkinson J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm807","created_at":"2021-09-30T08:23:19.387Z","updated_at":"2021-09-30T08:23:19.387Z"}],"licence_links":[],"grants":[{"id":1679,"fairsharing_record_id":2112,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:16.375Z","updated_at":"2021-09-30T09:25:16.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1680,"fairsharing_record_id":2112,"organisation_id":3141,"relation":"maintains","created_at":"2021-09-30T09:25:16.412Z","updated_at":"2021-09-30T09:25:16.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":3141,"name":"University of Toronto, Canada","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2128","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T05:09:35.903Z","metadata":{"doi":"10.25504/FAIRsharing.92dt9d","name":"ProteomeXchange","status":"ready","contacts":[{"contact_name":"Juan Antonio Vizcaino","contact_email":"juan@ebi.ac.uk","contact_orcid":"0000-0002-3905-4335"}],"homepage":"http://www.proteomexchange.org/","citations":[{"doi":"10.1093/nar/gkw936","pubmed_id":27924013,"publication_id":1630}],"identifier":2128,"description":"The ProteomeXchange consortium has been set up to provide a single point of submission of MS proteomics data to the main existing proteomics repositories, and to encourage the data exchange between them for optimal data dissemination.","abbreviation":"ProteomeXchange","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.proteomexchange.org/docs/guidelines_px.pdf","name":"Data Submission Guidelines","type":"Help documentation"},{"url":"http://www.proteomexchange.org/pxcollaborativeagreement.pdf","name":"PX Collaborative Agreement","type":"Help documentation"},{"url":"https://groups.google.com/forum/feed/proteomexchange/msgs/rss_v2_0.xml","name":"RSS Feed","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/pride-and-proteomexchange-webinar","name":"Pride and proteomexchange webinar","type":"TeSS links to training materials"},{"url":"https://twitter.com/ProteomeXchange","name":"@ProteomeXchange","type":"Twitter"},{"url":"https://www.proteomexchange.org/contact/index.html","name":"ProteomeXchange Partner Repository Coordinators","type":"Contact form"},{"url":"https://www.proteomexchange.org/docs/reprocessed_guidelines_px.pdf","name":"Guidelines for Reprocessed datasets","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://proteomecentral.proteomexchange.org/PROXI.php","name":"PROXI Exchange"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010692","name":"re3data:r3d100010692","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004055","name":"SciCrunch:RRID:SCR_004055","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.proteomexchange.org/docs/guidelines_px.pdf","type":"open","notes":"ProteomeXchange supports submission of experiments coming from all proteomics data workflows."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000598","bsg-d000598"],"name":"FAIRsharing record for: ProteomeXchange","abbreviation":"ProteomeXchange","url":"https://fairsharing.org/10.25504/FAIRsharing.92dt9d","doi":"10.25504/FAIRsharing.92dt9d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ProteomeXchange consortium has been set up to provide a single point of submission of MS proteomics data to the main existing proteomics repositories, and to encourage the data exchange between them for optimal data dissemination.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10975},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15067},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16190}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Peptide identification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Japan","United States","European Union"],"publications":[{"id":99,"pubmed_id":24727771,"title":"ProteomeXchange provides globally coordinated proteomics data submission and dissemination.","year":2014,"url":"http://doi.org/10.1038/nbt.2839","authors":"Vizcaíno JA, Deutsch EW, Wang R, et al.","journal":"Nat Biotechnol.","doi":"10.1038/nbt.2839","created_at":"2021-09-30T08:22:31.122Z","updated_at":"2021-09-30T08:22:31.122Z"},{"id":1630,"pubmed_id":27924013,"title":"The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition.","year":2016,"url":"http://doi.org/10.1093/nar/gkw936","authors":"Deutsch EW,Csordas A,Sun Z,Jarnuczak A,Perez-Riverol Y,Ternent T,Campbell DS,Bernal-Llinares M,Okuda S,Kawano S,Moritz RL,Carver JJ,Wang M,Ishihama Y,Bandeira N,Hermjakob H,Vizcaino JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw936","created_at":"2021-09-30T08:25:22.650Z","updated_at":"2021-09-30T11:29:17.127Z"},{"id":3155,"pubmed_id":31686107,"title":"The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics.","year":2020,"url":"https://doi.org/10.1093/nar/gkz984","authors":"Deutsch EW, Bandeira N, Sharma V, Perez-Riverol Y, Carver JJ, Kundu DJ, García-Seisdedos D, Jarnuczak AF, Hewapathirana S, Pullman BS, Wertz J, Sun Z, Kawano S, Okuda S, Watanabe Y, Hermjakob H, MacLean B, MacCoss MJ, Zhu Y, Ishihama Y, Vizcaíno JA","journal":"Nucleic acids research","doi":"10.1093/nar/gkz984","created_at":"2021-12-10T15:20:34.304Z","updated_at":"2021-12-10T15:20:34.304Z"},{"id":4028,"pubmed_id":36370099,"title":"The ProteomeXchange consortium at 10 years: 2023 update","year":2023,"url":"http://dx.doi.org/10.1093/nar/gkac1040","authors":"Deutsch EW, Bandeira N, Perez-Riverol Y, Sharma V, Carver JJ, Mendoza L, Kundu DJ, Wang S, Bandla C, Kamatchinathan S, Hewapathirana S, Pullman BS, Wertz J, Sun Z, Kawano S, Okuda S, Watanabe Y, MacLean B, MacCoss MJ, Zhu Y, Ishihama Y, Vizcaíno JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1040","created_at":"2023-10-23T13:55:17.572Z","updated_at":"2023-10-23T13:55:17.572Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3381,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3380,"relation":"applies_to_content"},{"licence_name":"EBI Privacy Policy","licence_id":258,"licence_url":"http://www.ebi.ac.uk/about/privacy","link_id":2417,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2418,"relation":"undefined"},{"licence_name":"iProX Data Licence","licence_id":452,"licence_url":"https://www.iprox.org/page/iproxDataLisence.html","link_id":3382,"relation":"applies_to_content"}],"grants":[{"id":1730,"fairsharing_record_id":2128,"organisation_id":2899,"relation":"funds","created_at":"2021-09-30T09:25:18.443Z","updated_at":"2021-09-30T09:29:26.170Z","grant_id":249,"is_lead":false,"saved_state":{"id":2899,"name":"UK-Japan collaboration","grant":"BB/N022440/1","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1729,"fairsharing_record_id":2128,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:18.400Z","updated_at":"2021-09-30T09:31:07.309Z","grant_id":1026,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT101477MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1724,"fairsharing_record_id":2128,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:25:18.159Z","updated_at":"2021-09-30T09:25:18.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1726,"fairsharing_record_id":2128,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:18.306Z","updated_at":"2021-09-30T09:25:18.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1727,"fairsharing_record_id":2128,"organisation_id":1968,"relation":"maintains","created_at":"2021-09-30T09:25:18.337Z","updated_at":"2021-09-30T09:25:18.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":1968,"name":"National Center for Protein Sciences, Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1734,"fairsharing_record_id":2128,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:25:18.660Z","updated_at":"2021-09-30T09:25:18.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1733,"fairsharing_record_id":2128,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:18.566Z","updated_at":"2021-09-30T09:30:31.538Z","grant_id":747,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K01997X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1725,"fairsharing_record_id":2128,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:18.252Z","updated_at":"2021-09-30T09:31:29.529Z","grant_id":1194,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"2P50 GM076547/Center for Systems Biology","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8249,"fairsharing_record_id":2128,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:31:44.458Z","updated_at":"2021-09-30T09:31:44.511Z","grant_id":1306,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01GM087221","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1732,"fairsharing_record_id":2128,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:18.530Z","updated_at":"2021-09-30T09:25:18.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1731,"fairsharing_record_id":2128,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:18.493Z","updated_at":"2021-09-30T09:30:06.310Z","grant_id":553,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"U54EB020406","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8304,"fairsharing_record_id":2128,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:00.469Z","updated_at":"2021-09-30T09:32:00.556Z","grant_id":1426,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024225/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1728,"fairsharing_record_id":2128,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:18.362Z","updated_at":"2022-01-17T08:44:29.005Z","grant_id":1578,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"'ProteomeXchange' grant 260558","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8284,"fairsharing_record_id":2128,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:54.352Z","updated_at":"2021-09-30T09:31:54.439Z","grant_id":1380,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I00095X/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2125","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:36:05.869Z","metadata":{"doi":"10.25504/FAIRsharing.rcbwsf","name":"Giga Science Database","status":"ready","contacts":[{"contact_name":"Database Admin","contact_email":"database@gigasciencejournal.com"}],"homepage":"http://gigadb.org/","citations":[],"identifier":2125,"description":"GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience; however, it also includes a subset of datasets that are not associated with GigaScience articles. GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study.","abbreviation":"GigaDB","data_curation":{"url":"http://gigadb.org/site/faq","type":"manual/automated"},"support_links":[{"url":"http://gigadb.org/site/contact","type":"Contact form"},{"url":"http://gigadb.org/site/term","type":"Help documentation"},{"url":"http://gigadb.org/rss/latest","type":"Blog/News"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://galaxy.cbiit.cuhk.edu.hk/","name":"GigaGalaxy"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010478","name":"re3data:r3d100010478","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004002","name":"SciCrunch:RRID:SCR_004002","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.alibabacloud.com/help/en/","name":"More information"},"data_deposition_condition":{"url":"http://gigadb.org/site/guide","type":"controlled","notes":"Only data related to GigaScience articles can be entered, but they are currently working to scale this out with other publishers."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000595","bsg-d000595"],"name":"FAIRsharing record for: Giga Science Database","abbreviation":"GigaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rcbwsf","doi":"10.25504/FAIRsharing.rcbwsf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience; however, it also includes a subset of datasets that are not associated with GigaScience articles. GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10972},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11534},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12695}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Genetics","Proteomics","Computational Biology","Life Science"],"domains":["Expression data","Imaging","Sequencing","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hong Kong"],"publications":[{"id":565,"pubmed_id":23587345,"title":"GigaDB: announcing the GigaScience database","year":2012,"url":"http://doi.org/10.1186/2047-217X-1-11","authors":"Tam P Sneddon, Peter Li and Scott C Edmunds","journal":"GigaScience","doi":"10.1186/2047-217X-1-11","created_at":"2021-09-30T08:23:21.783Z","updated_at":"2021-09-30T08:23:21.783Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3496,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3497,"relation":"applies_to_content"},{"licence_name":"GigaDB Terms of Use","licence_id":344,"licence_url":"http://gigadb.org/site/term","link_id":1651,"relation":"undefined"}],"grants":[{"id":1709,"fairsharing_record_id":2125,"organisation_id":509,"relation":"funds","created_at":"2021-09-30T09:25:17.530Z","updated_at":"2021-09-30T09:25:17.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":509,"name":"China National GeneBank, Shenzhen, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1708,"fairsharing_record_id":2125,"organisation_id":1154,"relation":"maintains","created_at":"2021-09-30T09:25:17.491Z","updated_at":"2021-09-30T09:25:17.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":1154,"name":"GigaScience/BGI HK Ltd","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbTREIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--5d5441680b4ae96bd5f55e15a8900ea038f8d187/GigaDB_logo_transparent.png?disposition=inline","exhaustive_licences":false}},{"id":"2207","type":"fairsharing_records","attributes":{"created_at":"2015-05-20T12:05:09.000Z","updated_at":"2024-03-21T13:59:13.966Z","metadata":{"doi":"10.25504/FAIRsharing.mckkb4","name":"Worldwide Protein Data Bank","status":"ready","contacts":[{"contact_email":"info@wwpdb.org"}],"homepage":"http://www.wwpdb.org","citations":[{"doi":"10.1038/nsb1203-980","pubmed_id":14634627,"publication_id":258}],"identifier":2207,"description":"The Worldwide PDB (wwPDB) organization manages the PDB archive and ensures that the PDB is freely and publicly available to the global community. The mission of the wwPDB is to maintain a single Protein Data Bank Archive of macromolecular structural data that is freely and publicly available to the global community. The wwPDB is composed of the RCSB PDB, PDBe, PDBj, BMRB, and EMDB.","abbreviation":"wwPDB","data_curation":{"url":"http://www.wwpdb.org/documentation/procedure","type":"manual/automated"},"support_links":[{"url":"http://www.wwpdb.org/about/contact","name":"Contact Details","type":"Contact form"},{"url":"http://www.wwpdb.org/deposition/faq","name":"Deposition FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.wwpdb.org/about/faq","name":"General FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.wwpdb.org/documentation/file-format","name":"File Format Docs","type":"Help documentation"},{"url":"http://www.wwpdb.org/stats/download","name":"Download Statistics","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/a-critical-guide-to-the-pdb","name":"A Critical Guide to the PDB","type":"TeSS links to training materials"},{"url":"http://www.wwpdb.org/deposition/tutorial","name":"Deposition Tour","type":"Training documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"https://validate.wwpdb.org","name":"wwPDB Validation Service"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011104","name":"re3data:r3d100011104","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006555","name":"SciCrunch:RRID:SCR_006555","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.wwpdb.org/about/usage-policies","type":"open"},"resource_sustainability":{"url":"http://www.wwpdb.org/about/faq","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.wwpdb.org/documentation/policy","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000681","bsg-d000681"],"name":"FAIRsharing record for: Worldwide Protein Data Bank","abbreviation":"wwPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.mckkb4","doi":"10.25504/FAIRsharing.mckkb4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Worldwide PDB (wwPDB) organization manages the PDB archive and ensures that the PDB is freely and publicly available to the global community. The mission of the wwPDB is to maintain a single Protein Data Bank Archive of macromolecular structural data that is freely and publicly available to the global community. The wwPDB is composed of the RCSB PDB, PDBe, PDBj, BMRB, and EMDB.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10991},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12718},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16191}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Protein structure","Deoxyribonucleic acid","Ribonucleic acid","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States"],"publications":[{"id":258,"pubmed_id":14634627,"title":"Announcing the worldwide Protein Data Bank.","year":2003,"url":"http://doi.org/10.1038/nsb1203-980","authors":"Berman H., Henrick K., Nakamura H.,","journal":"Nat. Struct. Biol.","doi":"10.1038/nsb1203-980","created_at":"2021-09-30T08:22:47.891Z","updated_at":"2021-09-30T08:22:47.891Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2779,"relation":"applies_to_content"}],"grants":[{"id":1978,"fairsharing_record_id":2207,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:27.360Z","updated_at":"2021-09-30T09:25:27.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1984,"fairsharing_record_id":2207,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:27.632Z","updated_at":"2021-09-30T09:25:27.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1980,"fairsharing_record_id":2207,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:25:27.506Z","updated_at":"2021-09-30T09:25:27.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1982,"fairsharing_record_id":2207,"organisation_id":2301,"relation":"associated_with","created_at":"2021-09-30T09:25:27.560Z","updated_at":"2022-08-02T08:43:10.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":2301,"name":"PDBj","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1983,"fairsharing_record_id":2207,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:25:27.590Z","updated_at":"2021-09-30T09:25:27.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1985,"fairsharing_record_id":2207,"organisation_id":3263,"relation":"maintains","created_at":"2021-09-30T09:25:27.670Z","updated_at":"2022-08-02T08:43:15.110Z","grant_id":null,"is_lead":true,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":1986,"fairsharing_record_id":2207,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:27.707Z","updated_at":"2021-09-30T09:25:27.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1987,"fairsharing_record_id":2207,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:27.749Z","updated_at":"2021-09-30T09:25:27.749Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1981,"fairsharing_record_id":2207,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:25:27.536Z","updated_at":"2021-09-30T09:25:27.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1988,"fairsharing_record_id":2207,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:27.791Z","updated_at":"2021-09-30T09:25:27.791Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1977,"fairsharing_record_id":2207,"organisation_id":2300,"relation":"associated_with","created_at":"2021-09-30T09:25:27.327Z","updated_at":"2022-08-02T08:43:10.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":2300,"name":"PDBe","types":["Undefined"],"is_lead":false,"relation":"associated_with"}},{"id":9738,"fairsharing_record_id":2207,"organisation_id":836,"relation":"associated_with","created_at":"2022-08-02T08:43:10.767Z","updated_at":"2022-08-02T08:43:10.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":836,"name":"Electron Microscopy Data Bank Team, European Bioinformatics Institute","types":["Lab"],"is_lead":false,"relation":"associated_with"}},{"id":1989,"fairsharing_record_id":2207,"organisation_id":2423,"relation":"associated_with","created_at":"2021-09-30T09:25:27.828Z","updated_at":"2022-08-02T08:43:11.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":2423,"name":"Research Collaboratory for Structural Bioinformatics","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1991,"fairsharing_record_id":2207,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:27.949Z","updated_at":"2021-09-30T09:25:27.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9737,"fairsharing_record_id":2207,"organisation_id":2300,"relation":"associated_with","created_at":"2022-08-02T08:43:10.705Z","updated_at":"2022-08-02T08:43:10.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":2300,"name":"PDBe","types":["Undefined"],"is_lead":false,"relation":"associated_with"}},{"id":1979,"fairsharing_record_id":2207,"organisation_id":257,"relation":"associated_with","created_at":"2021-09-30T09:25:27.457Z","updated_at":"2022-08-02T08:43:10.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":257,"name":"Biological Magnetic Resonance Data Bank (BMRB)","types":["Lab"],"is_lead":false,"relation":"associated_with"}},{"id":11584,"fairsharing_record_id":2207,"organisation_id":3263,"relation":"funds","created_at":"2024-03-21T13:59:13.247Z","updated_at":"2024-03-21T13:59:13.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"Worldwide Protein Data Bank Foundation","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbklCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--29e5e2ef3b26da59c0587318fa3499a04518d323/wwpdb-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2208","type":"fairsharing_records","attributes":{"created_at":"2015-06-03T12:50:29.000Z","updated_at":"2024-04-29T09:56:05.717Z","metadata":{"doi":"10.25504/FAIRsharing.j45zag","name":"H-Invitational Database","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"hinvdb@ml.tokai-u.jp"}],"homepage":"http://www.h-invitational.jp/hinv/ahg-db/index.jsp","citations":[],"identifier":2208,"description":"H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing variants, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, and molecular evolutionary features , protein-protein interactions (PPIs) and gene families/groups.","abbreviation":"H-InvDB","data_curation":{"url":"http://www.h-invitational.jp/hinv/ahg-db/index.jsp","type":"manual","notes":"Curated annotations of human genes and transcripts"},"support_links":[{"url":"http://h-invitational.jp/hinv/ahg-db/contact.jsp","type":"Contact form"},{"url":"http://www.h-invitational.jp/hinv/ahg-db/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.h-invitational.jp/hinv/help/help_index.html","type":"Help documentation"},{"url":"http://www.h-invitational.jp/hinv/hws/doc/index.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"http://www.h-invitational.jp/hinv/blast/blasttop.cgi","name":"BLAST"}],"deprecation_date":"2024-04-29","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000682","bsg-d000682"],"name":"FAIRsharing record for: H-Invitational Database","abbreviation":"H-InvDB","url":"https://fairsharing.org/10.25504/FAIRsharing.j45zag","doi":"10.25504/FAIRsharing.j45zag","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing variants, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, and molecular evolutionary features , protein-protein interactions (PPIs) and gene families/groups.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12719}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Functional domain","Protein structure","Expression data","Protein interaction","Function analysis","Alternative splicing","Cellular localization","Genetic polymorphism","Non-coding RNA"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":319,"pubmed_id":18089548,"title":"The H-Invitational Database (H-InvDB), a comprehensive annotation resource for human genes and transcripts.","year":2007,"url":"http://doi.org/10.1093/nar/gkm999","authors":"Yamasaki C,Murakami K,Fujii Y,Sato Y,Harada E,Takeda J,Taniya T,Sakate R,Kikugawa S,Shimada M,Tanino M,Koyanagi KO,Barrero RA,Gough C,Chun HW,Habara T,Hanaoka H,Hayakawa Y,Hilton PB,Kaneko Y,Kanno M,Kawahara Y,Kawamura T,Matsuya A,Nagata N,Nishikata K,Noda AO,Nurimoto S,Saichi N,Sakai H,Sanbonmatsu R,Shiba R,Suzuki M,Takabayashi K,Takahashi A,Tamura T,Tanaka M,Tanaka S,Todokoro F,Yamaguchi K,Yamamoto N,Okido T,Mashima J,Hashizume A,Jin L,Lee KB,Lin YC,Nozaki A,Sakai K,Tada M,Miyazaki S,Makino T,Ohyanagi H,Osato N,Tanaka N,Suzuki Y,Ikeo K,Saitou N,Sugawara H,O'Donovan C,Kulikova T,Whitfield E,Halligan B,Shimoyama M,Twigger S,Yura K,Kimura K,Yasuda T,Nishikawa T,Akiyama Y,Motono C,Mukai Y,Nagasaki H,Suwa M,Horton P,Kikuno R,Ohara O,Lancet D,Eveno E,Graudens E,Imbeaud S,Debily MA,Hayashizaki Y,Amid C,Han M,Osanger A,Endo T,Thomas MA,Hirakawa M,Makalowski W,Nakao M,Kim NS,Yoo HS,De Souza SJ,Bonaldo Mde F,Niimura Y,Kuryshev V,Schupp I,Wiemann S,Bellgard M,Shionyu M,Jia L,Thierry-Mieg D,Thierry-Mieg J,Wagner L,Zhang Q,Go M,Minoshima S,Ohtsubo M,Hanada K,Tonellato P,Isogai T,Zhang J,Lenhard B,Kim S,Chen Z,Hinz U,Estreicher A,Nakai K,Makalowska I,Hide W,Tiffin N,Wilming L,Chakraborty R,Soares MB,Chiusano ML,Suzuki Y,Auffray C,Yamaguchi-Kabata Y,Itoh T,Hishiki T,Fukuchi S,Nishikawa K,Sugano S,Nomura N,Tateno Y,Imanishi T,Gojobori T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm999","created_at":"2021-09-30T08:22:54.264Z","updated_at":"2021-09-30T11:28:45.109Z"},{"id":1063,"pubmed_id":15103394,"title":"Integrative annotation of 21,037 human genes validated by full-length cDNA clones.","year":2004,"url":"http://doi.org/10.1371/journal.pbio.0020162","authors":"Imanishi T,Itoh T,Suzuki Y,O'Donovan C,Fukuchi S,Koyanagi KO,Barrero RA,Tamura T,Yamaguchi-Kabata Y,Tanino M,Yura K,Miyazaki S,Ikeo K,Homma K,Kasprzyk A,Nishikawa T,Hirakawa M,Thierry-Mieg J,Thierry-Mieg D,Ashurst J,Jia L,Nakao M,Thomas MA,Mulder N,Karavidopoulou Y,Jin L,Kim S,Yasuda T,Lenhard B,Eveno E,Suzuki Y,Yamasaki C,Takeda J,Gough C,Hilton P,Fujii Y,Sakai H,Tanaka S,Amid C,Bellgard M,Bonaldo Mde F,Bono H,Bromberg SK,Brookes AJ,Bruford E,Carninci P,Chelala C,Couillault C,de Souza SJ,Debily MA,Devignes MD,Dubchak I,Endo T,Estreicher A,Eyras E,Fukami-Kobayashi K,Gopinath GR,Graudens E,Hahn Y,Han M,Han ZG,Hanada K,Hanaoka H,Harada E,Hashimoto K,Hinz U,Hirai M,Hishiki T,Hopkinson I,Imbeaud S,Inoko H,Kanapin A,Kaneko Y,Kasukawa T,Kelso J,Kersey P,Kikuno R,Kimura K,Korn B,Kuryshev V,Makalowska I,Makino T,Mano S,Mariage-Samson R,Mashima J,Matsuda H,Mewes HW,Minoshima S,Nagai K,Nagasaki H,Nagata N,Nigam R,Ogasawara O,Ohara O,Ohtsubo M,Okada N,Okido T,Oota S,Ota M,Ota T,Otsuki T,Piatier-Tonneau D,Poustka A,Ren SX,Saitou N,Sakai K,Sakamoto S,Sakate R,Schupp I,Servant F,Sherry S,Shiba R,Shimizu N,Shimoyama M,Simpson AJ,Soares B,Steward C,Suwa M,Suzuki M,Takahashi A,Tamiya G,Tanaka H,Taylor T,Terwilliger JD,Unneberg P,Veeramachaneni V,Watanabe S,Wilming L,Yasuda N,Yoo HS,Stodolsky M,Makalowski W,Go M,Nakai K,Takagi T,Kanehisa M,Sakaki Y,Quackenbush J,Okazaki Y,Hayashizaki Y,Hide W,Chakraborty R,Nishikawa K,Sugawara H,Tateno Y,Chen Z,Oishi M,Tonellato P,Apweiler R,Okubo K,Wagner L,Wiemann S,Strausberg RL,Isogai T,Auffray C,Nomura N,Gojobori T,Sugano S","journal":"PLoS Biol","doi":"10.1371/journal.pbio.0020162","created_at":"2021-09-30T08:24:17.763Z","updated_at":"2021-09-30T08:24:17.763Z"},{"id":1064,"pubmed_id":23197657,"title":"H-InvDB in 2013: an omics study platform for human functional gene and transcript discovery.","year":2012,"url":"http://doi.org/10.1093/nar/gks1245","authors":"Takeda J,Yamasaki C,Murakami K,Nagai Y,Sera M,Hara Y,Obi N,Habara T,Gojobori T,Imanishi T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1245","created_at":"2021-09-30T08:24:17.872Z","updated_at":"2021-09-30T11:28:57.692Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 2.1 Japan (CC BY-SA 2.1 JP)","licence_id":189,"licence_url":"https://creativecommons.org/licenses/by-sa/2.1/jp/deed.en_US","link_id":868,"relation":"undefined"}],"grants":[{"id":1994,"fairsharing_record_id":2208,"organisation_id":2864,"relation":"maintains","created_at":"2021-09-30T09:25:28.043Z","updated_at":"2021-09-30T09:25:28.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":2864,"name":"Tokai University School of Medicine, Japan","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1992,"fairsharing_record_id":2208,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:25:27.988Z","updated_at":"2021-09-30T09:25:27.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1993,"fairsharing_record_id":2208,"organisation_id":2007,"relation":"funds","created_at":"2021-09-30T09:25:28.019Z","updated_at":"2021-09-30T09:25:28.019Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1995,"fairsharing_record_id":2208,"organisation_id":1859,"relation":"funds","created_at":"2021-09-30T09:25:28.067Z","updated_at":"2021-09-30T09:25:28.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":1859,"name":"Ministry of Economy Trade and Industry (METI), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2201","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T19:33:25.000Z","updated_at":"2023-12-15T10:32:14.411Z","metadata":{"doi":"10.25504/FAIRsharing.1mapgk","name":"NIDDK Information Network","status":"ready","contacts":[{"contact_name":"General contact email","contact_email":"info@dknet.org"}],"homepage":"http://www.dknet.org","identifier":2201,"description":"The NIDDK Information Network provides access to large pools of data relevant to the mission of NIDDK. The dkNET portal contains information about research resources such as antibodies, vectors and mouse strains, data, protocols, and literature.","abbreviation":"dkNET","data_curation":{"url":"https://dknet.org/rin/rrids","type":"automated"},"support_links":[{"url":"https://dknet.org/about/blog","name":"dkNET Blog","type":"Blog/News"},{"url":"https://dknet.org/about/help","name":"Help Pages","type":"Help documentation"},{"url":"https://dknet.org/page/scicrunch","name":"SciCrunch and dkNET","type":"Help documentation"},{"url":"https://twitter.com/dkNET_Info","name":"@dkNET_Info","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012845","name":"re3data:r3d100012845","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001606","name":"SciCrunch:RRID:SCR_001606","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dknet.org/about/resource?form=Resource\u0026rel=1\u0026resource_suggestion","type":"not applicable","notes":"Data cannot be directly submitted, but software or database links can be added in dkNET Tool Resource Report, using \"suggest a resource\" via SciCrunch Registry."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000675","bsg-d000675"],"name":"FAIRsharing record for: NIDDK Information Network","abbreviation":"dkNET","url":"https://fairsharing.org/10.25504/FAIRsharing.1mapgk","doi":"10.25504/FAIRsharing.1mapgk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NIDDK Information Network provides access to large pools of data relevant to the mission of NIDDK. The dkNET portal contains information about research resources such as antibodies, vectors and mouse strains, data, protocols, and literature.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10809},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11115},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12716}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science"],"domains":["Expression data","Model organism","Publication","Nuclear receptor","Receptor","Literature curation"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1234,"pubmed_id":26978244,"title":"The FAIR Guiding Principles for scientific data management and stewardship.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.18","authors":"Wilkinson MD,Dumontier M,Aalbersberg IJ,Appleton G,Axton M,Baak A,Blomberg N,Boiten JW,da Silva Santos LB,Bourne PE,Bouwman J,Brookes AJ,Clark T,Crosas M,Dillo I,Dumon O,Edmunds S,Evelo CT,Finkers R,Gonzalez-Beltran A,Gray AJ,Groth P,Goble C,Grethe JS,Heringa J,'t Hoen PA,Hooft R,Kuhn T,Kok R,Kok J,Lusher SJ,Martone ME,Mons A,Packer AL,Persson B,Rocca-Serra P,Roos M,van Schaik R,Sansone SA,Schultes E,Sengstag T,Slater T,Strawn G,Swertz MA,Thompson M,van der Lei J,van Mulligen E,Velterop J,Waagmeester A,Wittenburg P,Wolstencroft K,Zhao J,Mons B","journal":"Sci Data","doi":"10.1038/sdata.2016.18","created_at":"2021-09-30T08:24:37.674Z","updated_at":"2021-09-30T08:24:37.674Z"},{"id":1235,"pubmed_id":26730820,"title":"Resource Disambiguator for the Web: Extracting Biomedical Resources and Their Citations from the Scientific Literature.","year":2016,"url":"http://doi.org/10.1371/journal.pone.0146300","authors":"Ozyurt IB,Grethe JS,Martone ME,Bandrowski AE","journal":"PLoS One","doi":"10.1371/journal.pone.0146300","created_at":"2021-09-30T08:24:37.783Z","updated_at":"2021-09-30T08:24:37.783Z"},{"id":2626,"pubmed_id":26393351,"title":"The NIDDK Information Network: A Community Portal for Finding Data, Materials, and Tools for Researchers Studying Diabetes, Digestive, and Kidney Diseases.","year":2015,"url":"http://doi.org/10.1371/journal.pone.0136206","authors":"Whetzel PL,Grethe JS,Banks DE,Martone ME","journal":"PLoS One","doi":"10.1371/journal.pone.0136206","created_at":"2021-09-30T08:27:22.428Z","updated_at":"2021-09-30T08:27:22.428Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1712,"relation":"undefined"},{"licence_name":"dkNET - SciCrunch Privacy Policy","licence_id":247,"licence_url":"https://dknet.org/page/privacy","link_id":1711,"relation":"undefined"}],"grants":[{"id":1963,"fairsharing_record_id":2201,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:26.696Z","updated_at":"2021-09-30T09:25:26.696Z","grant_id":null,"is_lead":true,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1964,"fairsharing_record_id":2201,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:25:26.727Z","updated_at":"2021-09-30T09:29:05.535Z","grant_id":89,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"U24DK097771","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2202","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T19:59:03.000Z","updated_at":"2023-12-15T10:32:29.676Z","metadata":{"doi":"10.25504/FAIRsharing.ejeqy","name":"Human Connectome Project","status":"ready","homepage":"http://www.humanconnectome.org","identifier":2202,"description":"The Human Connectome Project (HCP) houses and distributes public connectome study data for a series of studies that focus on the connections within the human brain.","abbreviation":"HCP","data_curation":{"type":"none"},"support_links":[{"url":"https://www.humanconnectome.org/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://www.humanconnectome.org/tutorials","name":"Tutorials","type":"Help documentation"},{"url":"https://groups.google.com/a/humanconnectome.org/d/forum/hcp-announce","name":"HCP Announce","type":"Mailing list"},{"url":"https://wiki.humanconnectome.org/","name":"HCP Wiki","type":"Help documentation"},{"url":"https://www.humanconnectome.org/about-ccf","name":"CCF Overview","type":"Help documentation"},{"url":"https://twitter.com/HumanConnectome","name":"@HumanConnectome","type":"Twitter"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"https://www.humanconnectome.org/software/connectome-workbench","name":"Connectome Workbench 1.0"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000676","bsg-d000676"],"name":"FAIRsharing record for: Human Connectome Project","abbreviation":"HCP","url":"https://fairsharing.org/10.25504/FAIRsharing.ejeqy","doi":"10.25504/FAIRsharing.ejeqy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Connectome Project (HCP) houses and distributes public connectome study data for a series of studies that focus on the connections within the human brain.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11116}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Brain","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["Germany","Italy","Netherlands","United Kingdom","United States"],"publications":[{"id":2233,"pubmed_id":21743807,"title":"Informatics and data mining tools and strategies for the human connectome project","year":2011,"url":"http://doi.org/10.3389/fninf.2011.00004","authors":"Marcus DS, Harwell J, Olsen T, Hodge M, Glasser MF, Prior F, Jenkinson M, Laumann T, Curtiss SW, Van Essen DC","journal":"Front Neuroinform","doi":"10.3389/fninf.2011.00004","created_at":"2021-09-30T08:26:31.642Z","updated_at":"2021-09-30T08:26:31.642Z"},{"id":2677,"pubmed_id":22366334,"title":"The Human Connectome Project: a data acquisition perspective.","year":2012,"url":"http://doi.org/10.1016/j.neuroimage.2012.02.018","authors":"Van Essen DC, Ugurbil K, Auerbach E, Barch D, Behrens TE, et al.","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2012.02.018","created_at":"2021-09-30T08:27:28.693Z","updated_at":"2021-09-30T08:27:28.693Z"},{"id":2678,"pubmed_id":25934470,"title":"ConnectomeDB - Sharing human brain connectivity data","year":2015,"url":"http://doi.org/S1053-8119(15)00346-8","authors":"Hodge MR, Horton W, Brown T, Herrick R, Olsen T, Hileman ME, McKay M, Archie KA, Cler E, Harms MP, Burgess GC, Glasser MF, Elam JS, Curtiss SW, Barch DM, Oostenveld R, Larson-Prior LJ, Ugurbil K, Van Essen DC, Marcus DS","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2015.04.046","created_at":"2021-09-30T08:27:28.863Z","updated_at":"2021-09-30T08:27:28.863Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2141,"relation":"undefined"},{"licence_name":"HCP Data Use Terms","licence_id":382,"licence_url":"https://www.humanconnectome.org/study/hcp-young-adult/data-use-terms","link_id":2142,"relation":"undefined"}],"grants":[{"id":1967,"fairsharing_record_id":2202,"organisation_id":3097,"relation":"maintains","created_at":"2021-09-30T09:25:26.804Z","updated_at":"2021-09-30T09:25:26.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":3097,"name":"University of Minnesota, Minneapolis, MN 55455, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1970,"fairsharing_record_id":2202,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:27.107Z","updated_at":"2021-09-30T09:25:27.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1965,"fairsharing_record_id":2202,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:26.751Z","updated_at":"2021-09-30T09:30:30.462Z","grant_id":740,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1U54MH091657-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1966,"fairsharing_record_id":2202,"organisation_id":3221,"relation":"maintains","created_at":"2021-09-30T09:25:26.776Z","updated_at":"2021-09-30T09:25:26.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":3221,"name":"Washington University in St Louis, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1968,"fairsharing_record_id":2202,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:25:27.014Z","updated_at":"2021-09-30T09:25:27.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1969,"fairsharing_record_id":2202,"organisation_id":2398,"relation":"maintains","created_at":"2021-09-30T09:25:27.066Z","updated_at":"2021-09-30T09:25:27.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":2398,"name":"Radboud University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2203","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T20:24:45.000Z","updated_at":"2024-04-29T08:41:34.848Z","metadata":{"doi":"10.25504/FAIRsharing.tamp4p","name":"Parkinson's Progression Markers Initiative","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"webmaster@loni.usc.edu"}],"homepage":"http://www.ppmi-info.org","identifier":2203,"description":"PPMI is an observational clinical study to verify progression markers in Parkinson’s disease. The study is designed to establish a comprehensive set of clinical, imaging and biosample data that will be used to define biomarkers of PD progression. Once these biomarkers are defined, they can be used in therapeutic studies. The clinical, imaging and biologic data are accessible to researchers in real time through the website.","abbreviation":"PPMI","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ppmi-info.org/contact-us/","type":"Contact form"},{"url":"http://www.ppmi-info.org/access-data-specimens/data-faq/","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","data_access_condition":{"url":"https://www.ppmi-info.org/access-data-specimens/download-data","type":"controlled"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000677","bsg-d000677"],"name":"FAIRsharing record for: Parkinson's Progression Markers Initiative","abbreviation":"PPMI","url":"https://fairsharing.org/10.25504/FAIRsharing.tamp4p","doi":"10.25504/FAIRsharing.tamp4p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PPMI is an observational clinical study to verify progression markers in Parkinson’s disease. The study is designed to establish a comprehensive set of clinical, imaging and biosample data that will be used to define biomarkers of PD progression. Once these biomarkers are defined, they can be used in therapeutic studies. The clinical, imaging and biologic data are accessible to researchers in real time through the website.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11117}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Medical imaging","Biomarker","Parkinson's disease","Imaging","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":11,"pubmed_id":null,"title":"The Parkinson Progression Marker Initiative (PPMI).","year":2011,"url":"http://doi.org/10.1016/j.pneurobio.2011.09.005","authors":"Parkinson Progression Marker Initiative","journal":"Prog Neurobiol.","doi":"10.1016/j.pneurobio.2011.09.005","created_at":"2021-09-30T08:22:21.698Z","updated_at":"2021-09-30T08:22:21.698Z"},{"id":64,"pubmed_id":26268663,"title":"Baseline genetic associations in the Parkinson's Progression Markers Initiative (PPMI).","year":2015,"url":"http://doi.org/10.1002/mds.26374","authors":"Nalls MA,Keller MF,Hernandez DG,Chen L,Stone DJ,Singleton AB","journal":"Mov Disord","doi":"10.1002/mds.26374","created_at":"2021-09-30T08:22:27.190Z","updated_at":"2021-09-30T08:22:27.190Z"}],"licence_links":[{"licence_name":"PPMI Data Use Agreement","licence_id":677,"licence_url":"http://www.ppmi-info.org/documents/ppmi-data-use-agreement.pdf","link_id":866,"relation":"undefined"}],"grants":[{"id":1971,"fairsharing_record_id":2203,"organisation_id":1679,"relation":"maintains","created_at":"2021-09-30T09:25:27.149Z","updated_at":"2021-09-30T09:25:27.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":1679,"name":"Laboratory of Neuro Imaging (LONI), University of Southern California, Los Angeles, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1972,"fairsharing_record_id":2203,"organisation_id":2801,"relation":"funds","created_at":"2021-09-30T09:25:27.186Z","updated_at":"2021-09-30T09:25:27.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":2801,"name":"The Michael J Fox Foundation for Parkinson's Research","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2204","type":"fairsharing_records","attributes":{"created_at":"2015-05-05T15:02:47.000Z","updated_at":"2023-06-23T10:58:15.806Z","metadata":{"doi":"10.25504/FAIRsharing.s5zmbp","name":"Catalogue of Somatic Mutations in Cancer","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"cosmic@sanger.ac.uk"}],"homepage":"http://cancer.sanger.ac.uk","citations":[{"doi":"10.1093/nar/gky1015","pubmed_id":30371878,"publication_id":1822}],"identifier":2204,"description":"The Catalogue of Somatic Mutations in Cancer (COSMIC) is a database of manually-curated somatic mutation information relating to human cancers. The COSMIC database combines manually-curated data and genome-wide screen data.","abbreviation":"COSMIC","data_curation":{"url":"https://cancer.sanger.ac.uk/cosmic/curation","type":"manual","notes":"Data is entered and curated by a professional curation team."},"support_links":[{"url":"https://cosmic-blog.sanger.ac.uk/","name":"COSMIC News","type":"Blog/News"},{"url":"https://cancer.sanger.ac.uk/cosmic/help/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://cancer.sanger.ac.uk/cosmic/help/tutorials","name":"Tutorials","type":"Help documentation"},{"url":"https://cancer.sanger.ac.uk/cosmic/help","name":"Help","type":"Help documentation"},{"url":"https://cancer.sanger.ac.uk/cosmic/register","name":"COSMIC Mailing List","type":"Mailing list"},{"url":"https://cancer.sanger.ac.uk/cosmic/curation","name":"About COSMIC Curation","type":"Help documentation"},{"url":"https://cancer.sanger.ac.uk/cosmic/analyses","name":"Annotation and Analysis Release Pipeline","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://cancer.sanger.ac.uk/cosmic/submissions","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000678","bsg-d000678"],"name":"FAIRsharing record for: Catalogue of Somatic Mutations in Cancer","abbreviation":"COSMIC","url":"https://fairsharing.org/10.25504/FAIRsharing.s5zmbp","doi":"10.25504/FAIRsharing.s5zmbp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Catalogue of Somatic Mutations in Cancer (COSMIC) is a database of manually-curated somatic mutation information relating to human cancers. The COSMIC database combines manually-curated data and genome-wide screen data.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11539}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genetics","Biomedical Science"],"domains":["Genome annotation","Cancer","Somatic mutation","Tumor"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":60,"pubmed_id":25355519,"title":"COSMIC: exploring the world's knowledge of somatic mutations in human cancer.","year":2014,"url":"http://doi.org/10.1093/nar/gku1075","authors":"Forbes SA,Beare D,Gunasekaran P,Leung K,Bindal N,Boutselakis H,Ding M,Bamford S,Cole C,Ward S,Kok CY,Jia M,De T,Teague JW,Stratton MR,McDermott U,Campbell PJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1075","created_at":"2021-09-30T08:22:26.769Z","updated_at":"2021-09-30T11:28:42.033Z"},{"id":66,"pubmed_id":20952405,"title":"COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer.","year":2010,"url":"http://doi.org/10.1093/nar/gkq929","authors":"Forbes SA,Bindal N,Bamford S,Cole C,Kok CY,Beare D,Jia M,Shepherd R,Leung K,Menzies A,Teague JW,Campbell PJ,Stratton MR,Futreal PA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq929","created_at":"2021-09-30T08:22:27.377Z","updated_at":"2021-09-30T11:28:42.276Z"},{"id":1798,"pubmed_id":15188009,"title":"The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website.","year":2004,"url":"http://doi.org/10.1038/sj.bjc.6601894","authors":"Bamford S,Dawson E,Forbes S,Clements J,Pettett R,Dogan A,Flanagan A,Teague J,Futreal PA,Stratton MR,Wooster R","journal":"Br J Cancer","doi":"10.1038/sj.bjc.6601894","created_at":"2021-09-30T08:25:41.863Z","updated_at":"2021-09-30T08:25:41.863Z"},{"id":1822,"pubmed_id":30371878,"title":"COSMIC: the Catalogue Of Somatic Mutations In Cancer.","year":2018,"url":"http://doi.org/10.1093/nar/gky1015","authors":"Tate JG,Bamford S,Jubb HC,Sondka Z,Beare DM,Bindal N,Boutselakis H,Cole CG,Creatore C,Dawson E,Fish P,Harsha B,Hathaway C,Jupe SC,Kok CY,Noble K,Ponting L,Ramshaw CC,Rye CE,Speedy HE,Stefancsik R,Thompson SL,Wang S,Ward S,Campbell PJ,Forbes SA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1015","created_at":"2021-09-30T08:25:44.669Z","updated_at":"2021-09-30T11:29:21.278Z"}],"licence_links":[{"licence_name":"COSMIC Terms of Use and Licence","licence_id":151,"licence_url":"https://cancer.sanger.ac.uk/cosmic/license","link_id":2434,"relation":"undefined"}],"grants":[{"id":1974,"fairsharing_record_id":2204,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:27.243Z","updated_at":"2021-09-30T09:25:27.243Z","grant_id":null,"is_lead":true,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1973,"fairsharing_record_id":2204,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:27.219Z","updated_at":"2021-09-30T09:32:08.536Z","grant_id":1487,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"077012/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2213","type":"fairsharing_records","attributes":{"created_at":"2015-07-09T12:06:07.000Z","updated_at":"2022-07-20T12:17:45.442Z","metadata":{"doi":"10.25504/FAIRsharing.af3j4h","name":"Research Domain Criteria Database","status":"deprecated","contacts":[{"contact_email":"rdocdbhelp@mail.nih.gov"}],"homepage":"http://rdocdb.nimh.nih.gov","identifier":2213,"description":"RDoCdb is an informatics platform for the sharing of human subjects data related to Mental Health research. This database may be used to plan for data submission, share your data, query data that is already shared, or to share your results related to a publication or finding. RDoCdb is is a part of the NIMH Data Archive (NDA), powered by the National Database for Autism Research (NDAR) infrastructure.","abbreviation":"RDoCdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://rdocdb.nimh.nih.gov/contact-us/","type":"Contact form"}],"data_versioning":"not found","deprecation_date":"2020-10-25","deprecation_reason":"This resource has been merged with the NIMH Data Archive.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000687","bsg-d000687"],"name":"FAIRsharing record for: Research Domain Criteria Database","abbreviation":"RDoCdb","url":"https://fairsharing.org/10.25504/FAIRsharing.af3j4h","doi":"10.25504/FAIRsharing.af3j4h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDoCdb is an informatics platform for the sharing of human subjects data related to Mental Health research. This database may be used to plan for data submission, share your data, query data that is already shared, or to share your results related to a publication or finding. RDoCdb is is a part of the NIMH Data Archive (NDA), powered by the National Database for Autism Research (NDAR) infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10993},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12721}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Biomedical Science","Preclinical Studies"],"domains":["Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"RDoCdb Disclaimer","licence_id":699,"licence_url":"https://data-archive.nimh.nih.gov/rdocdb/footer/disclaimer.html","link_id":870,"relation":"undefined"},{"licence_name":"RDoCdb Privacy Policy","licence_id":700,"licence_url":"https://data-archive.nimh.nih.gov/rdocdb/footer/privacy-policy.html","link_id":869,"relation":"undefined"}],"grants":[{"id":2009,"fairsharing_record_id":2213,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:25:28.585Z","updated_at":"2021-09-30T09:25:28.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2010,"fairsharing_record_id":2213,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:28.625Z","updated_at":"2021-09-30T09:25:28.625Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2214","type":"fairsharing_records","attributes":{"created_at":"2015-07-09T12:26:16.000Z","updated_at":"2022-07-20T13:19:46.759Z","metadata":{"doi":"10.25504/FAIRsharing.1h7t5t","name":"National Database for Clinical Trials related to Mental Illness","status":"deprecated","contacts":[{"contact_name":"Help email","contact_email":"NDAHelp@mail.nih.go"}],"homepage":"https://data-archive.nimh.nih.gov/ndct/","identifier":2214,"description":"NDCT is an informatics platform for the sharing of clinical trial data funded by the National Institute of Mental Health. NDCT is a part of the NIMH Data Archive (NDA), powered by the NDAR (National Database for Autism Research) infrastructure.","abbreviation":"NDCT","data_curation":{"type":"not found"},"support_links":[{"url":"http://ndct.nimh.nih.gov/contact-us/","type":"Contact form"}],"year_creation":2014,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012481","name":"re3data:r3d100012481","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013795","name":"SciCrunch:RRID:SCR_013795","portal":"SciCrunch"}],"deprecation_date":"2020-10-25","deprecation_reason":"This resource has been merged with the NIMH Data Archive.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000688","bsg-d000688"],"name":"FAIRsharing record for: National Database for Clinical Trials related to Mental Illness","abbreviation":"NDCT","url":"https://fairsharing.org/10.25504/FAIRsharing.1h7t5t","doi":"10.25504/FAIRsharing.1h7t5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NDCT is an informatics platform for the sharing of clinical trial data funded by the National Institute of Mental Health. NDCT is a part of the NIMH Data Archive (NDA), powered by the NDAR (National Database for Autism Research) infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10994},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12722}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Biomedical Science","Preclinical Studies"],"domains":["Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2011,"fairsharing_record_id":2214,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:25:28.666Z","updated_at":"2021-09-30T09:25:28.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2012,"fairsharing_record_id":2214,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:28.722Z","updated_at":"2021-09-30T09:25:28.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2215","type":"fairsharing_records","attributes":{"created_at":"2015-07-09T12:46:56.000Z","updated_at":"2021-12-08T09:43:12.706Z","metadata":{"doi":"10.25504/FAIRsharing.nv3g3d","name":"EpiFactors","status":"deprecated","contacts":[{"contact_name":"Yulia Medvedeva","contact_email":"ju.medvedeva@gmail.com"}],"homepage":"http://www.epifactors.autosome.ru/","citations":[],"identifier":2215,"description":"EpiFactors is a web-accessible database that provides broad information about human proteins and complexes involved in epigenetic regulation. It also lists corresponding genes and their expression levels in several samples, in particular 458 human primary cell samples, 255 different cancer cell lines and 134 human post-mortem tissues. Each protein and complex entry has been provided with links to external public resources.","abbreviation":"EpiFactors","data_curation":{"type":"not found"},"support_links":[{"url":"http://epifactors.autosome.ru/description","type":"Help documentation"},{"url":"http://epifactors.autosome.ru/description/queries","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-12-08","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000689","bsg-d000689"],"name":"FAIRsharing record for: EpiFactors","abbreviation":"EpiFactors","url":"https://fairsharing.org/10.25504/FAIRsharing.nv3g3d","doi":"10.25504/FAIRsharing.nv3g3d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EpiFactors is a web-accessible database that provides broad information about human proteins and complexes involved in epigenetic regulation. It also lists corresponding genes and their expression levels in several samples, in particular 458 human primary cell samples, 255 different cancer cell lines and 134 human post-mortem tissues. Each protein and complex entry has been provided with links to external public resources.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12723}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenetics","Life Science"],"domains":["Expression data","Cell","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan","Norway","Russia","Spain","Sweden"],"publications":[{"id":1942,"pubmed_id":26153137,"title":"EpiFactors: a comprehensive database of human epigenetic factors and complexes.","year":2015,"url":"http://doi.org/10.1093/database/bav067","authors":"Medvedeva YA,Lennartsson A,Ehsani R,Kulakovskiy IV,Vorontsov IE,Panahandeh P,Khimulya G,Kasukawa T,Drablos F","journal":"Database (Oxford)","doi":"10.1093/database/bav067","created_at":"2021-09-30T08:25:58.547Z","updated_at":"2021-09-30T08:25:58.547Z"}],"licence_links":[],"grants":[{"id":8170,"fairsharing_record_id":2215,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:31:19.297Z","updated_at":"2021-09-30T09:31:19.335Z","grant_id":1118,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"14-04-00180","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8309,"fairsharing_record_id":2215,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:32:01.258Z","updated_at":"2021-09-30T09:32:01.304Z","grant_id":1431,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"FPDI-2013-18088","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2014,"fairsharing_record_id":2215,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:25:28.780Z","updated_at":"2021-09-30T09:29:17.102Z","grant_id":176,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BFU2011-30246","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2013,"fairsharing_record_id":2215,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:25:28.753Z","updated_at":"2021-09-30T09:31:06.533Z","grant_id":1020,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"15-34-20423","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2216","type":"fairsharing_records","attributes":{"created_at":"2015-07-21T14:16:49.000Z","updated_at":"2022-07-20T12:21:09.464Z","metadata":{"doi":"10.25504/FAIRsharing.k9ptv7","name":"PlasmID","status":"deprecated","contacts":[{"contact_name":"PlasmID Help","contact_email":"plasmidhelp@hms.harvard.edu"}],"homepage":"https://plasmid.med.harvard.edu/PLASMID/Home.xhtml","citations":[],"identifier":2216,"description":"The PlasmID Repository provides researchers with inexpensive sequencing and plasmid services, holding ~350,000 plasmids, including most human cDNAs as well as shRNA libraries. PlasmID was added to the DNA Resource Core in the spring of 2004 to reduce the burden on individual labs to store, maintain and distribute plasmid clones and supporting information.","abbreviation":"PlasmID","data_curation":{"type":"not found"},"support_links":[{"url":"https://plasmid.med.harvard.edu/PLASMID/Pricing.jsp","name":"PlasmID Pricing","type":"Help documentation"},{"url":"https://plasmid.med.harvard.edu/PLASMID/cloningstrategies.jsp","name":"Learn about PlasmID","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012516","name":"re3data:r3d100012516","portal":"re3data"}],"deprecation_date":"2021-03-18","deprecation_reason":"In August 2019, PlasmID suspended plasmid distribution from the collection. Since that time, the website and its contents have been shut down.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000690","bsg-d000690"],"name":"FAIRsharing record for: PlasmID","abbreviation":"PlasmID","url":"https://fairsharing.org/10.25504/FAIRsharing.k9ptv7","doi":"10.25504/FAIRsharing.k9ptv7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PlasmID Repository provides researchers with inexpensive sequencing and plasmid services, holding ~350,000 plasmids, including most human cDNAs as well as shRNA libraries. PlasmID was added to the DNA Resource Core in the spring of 2004 to reduce the burden on individual labs to store, maintain and distribute plasmid clones and supporting information.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10995}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Biology"],"domains":["Deoxyribonucleic acid","RNA interference","Mutation analysis","Plasmid","Cloning plasmid"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Expression plasmid"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"PlasmID Terms and Conditions of Use","licence_id":672,"licence_url":"https://plasmid.med.harvard.edu/PLASMID/TermAndCondition.jsp","link_id":624,"relation":"undefined"}],"grants":[{"id":2016,"fairsharing_record_id":2216,"organisation_id":1768,"relation":"maintains","created_at":"2021-09-30T09:25:28.857Z","updated_at":"2021-09-30T09:25:28.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":1768,"name":"Massachusetts General Hospital, Boston, MA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2022,"fairsharing_record_id":2216,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:25:29.066Z","updated_at":"2021-09-30T09:25:29.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2018,"fairsharing_record_id":2216,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:25:28.929Z","updated_at":"2021-09-30T09:25:28.929Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2020,"fairsharing_record_id":2216,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:25:28.983Z","updated_at":"2021-09-30T09:25:28.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2021,"fairsharing_record_id":2216,"organisation_id":207,"relation":"maintains","created_at":"2021-09-30T09:25:29.025Z","updated_at":"2021-09-30T09:25:29.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":207,"name":"Beth Israel Deaconess Medical Center, Boston, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2019,"fairsharing_record_id":2216,"organisation_id":300,"relation":"maintains","created_at":"2021-09-30T09:25:28.952Z","updated_at":"2021-09-30T09:25:28.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":300,"name":"Boston Children's Hospital, MA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2017,"fairsharing_record_id":2216,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:25:28.896Z","updated_at":"2021-09-30T09:25:28.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2199","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T18:55:14.000Z","updated_at":"2021-11-24T13:18:14.841Z","metadata":{"doi":"10.25504/FAIRsharing.an0y9t","name":"NanoMaterial Registry","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"nanoregistry@rti.org"}],"homepage":"https://nanohub.org/groups/nanomaterialregistry","identifier":2199,"description":"The Nanomaterial Registry is a central registry and growing repository of publicly-available nanomaterial data which are fully curated based upon a set of Minimal Information about Nanomaterials (MIAN). Each nanomaterial curated into the Registry provides the following information: Physico-characteristics – values, protocols, metadata; Information on the related biological and/or environmental studies; Instance of Characterization information – preparation, synthesis, and time frame leading up to the nanomaterial characterization; and Validation back to the Data Source, such as scholarly article, manufacturer’s website. As both the original homepage (http://www.nanomaterialregistry.org/) and data browser are not functional, we have marked this record as Uncertain. Please get in touch with us if you have any information on this resource.","abbreviation":"Nano Registry","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NanoRegistry","name":"@NanoRegistry","type":"Twitter"}],"year_creation":2012,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000673","bsg-d000673"],"name":"FAIRsharing record for: NanoMaterial Registry","abbreviation":"Nano Registry","url":"https://fairsharing.org/10.25504/FAIRsharing.an0y9t","doi":"10.25504/FAIRsharing.an0y9t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nanomaterial Registry is a central registry and growing repository of publicly-available nanomaterial data which are fully curated based upon a set of Minimal Information about Nanomaterials (MIAN). Each nanomaterial curated into the Registry provides the following information: Physico-characteristics – values, protocols, metadata; Information on the related biological and/or environmental studies; Instance of Characterization information – preparation, synthesis, and time frame leading up to the nanomaterial characterization; and Validation back to the Data Source, such as scholarly article, manufacturer’s website. As both the original homepage (http://www.nanomaterialregistry.org/) and data browser are not functional, we have marked this record as Uncertain. Please get in touch with us if you have any information on this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11113}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Nanotechnology","Materials Science"],"domains":["Curated information"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":730,"pubmed_id":null,"title":"Nanomaterial registry: database that captures the minimal information about nanomaterial physico-chemical characteristics","year":2014,"url":"http://doi.org/10.1007/s11051-013-2219-8","authors":"Mills, Karmann C. and Murry, Damaris and Guzan, Kimberly A. and Ostraat, Michele L.","journal":"Journal of Nanoparticle Research","doi":"10.1007/s11051-013-2219-8","created_at":"2021-09-30T08:23:40.446Z","updated_at":"2021-09-30T08:23:40.446Z"},{"id":731,"pubmed_id":24098075,"title":"The Nanomaterial Registry: facilitating the sharing and analysis of data in the diverse nanomaterial community","year":2013,"url":"http://doi.org/10.2147/IJN.S40722","authors":"Michele L Ostraat, Karmann C Mills, Kimberly A Guzan, and Damaris Murry","journal":"Int J Nanomedicine","doi":"10.2147/IJN.S40722","created_at":"2021-09-30T08:23:40.545Z","updated_at":"2021-09-30T08:23:40.545Z"}],"licence_links":[],"grants":[{"id":1959,"fairsharing_record_id":2199,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:26.536Z","updated_at":"2021-09-30T09:25:26.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1958,"fairsharing_record_id":2199,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:25:26.498Z","updated_at":"2021-09-30T09:25:26.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1960,"fairsharing_record_id":2199,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:26.573Z","updated_at":"2021-09-30T09:25:26.573Z","grant_id":null,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1961,"fairsharing_record_id":2199,"organisation_id":2469,"relation":"maintains","created_at":"2021-09-30T09:25:26.615Z","updated_at":"2021-09-30T09:25:26.615Z","grant_id":null,"is_lead":true,"saved_state":{"id":2469,"name":"RTI International","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2212","type":"fairsharing_records","attributes":{"created_at":"2015-07-05T22:26:53.000Z","updated_at":"2022-07-20T12:25:47.196Z","metadata":{"doi":"10.25504/FAIRsharing.73reht","name":"Bio-Mirror","status":"deprecated","contacts":[{"contact_name":"Don Gilbert","contact_email":"gilbertd@indiana.edu","contact_orcid":"0000-0002-6646-7274"}],"homepage":"http://www.bio-mirror.net/","identifier":2212,"description":"A world bioinformatic public service for high-speed access to up-to-date DNA \u0026 protein biological sequence databanks.","abbreviation":"Bio-Mirror","data_curation":{"type":"not found"},"year_creation":1998,"data_versioning":"not found","deprecation_date":"2021-7-21","deprecation_reason":"This resource is no longer in active development.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000686","bsg-d000686"],"name":"FAIRsharing record for: Bio-Mirror","abbreviation":"Bio-Mirror","url":"https://fairsharing.org/10.25504/FAIRsharing.73reht","doi":"10.25504/FAIRsharing.73reht","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A world bioinformatic public service for high-speed access to up-to-date DNA \u0026 protein biological sequence databanks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":786,"pubmed_id":15059839,"title":"Bio-Mirror project for public bio-data distribution","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth219","authors":"Gilbert DG, Ugawa Y, Buchhorn M, Wee TT, Mizushima A, Kim H, Chon K, Weon S, Ma J, Ichiyanagi Y, Liou DM, Keretho S, Napis S.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth219","created_at":"2021-09-30T08:23:46.645Z","updated_at":"2021-09-30T08:23:46.645Z"}],"licence_links":[],"grants":[{"id":2005,"fairsharing_record_id":2212,"organisation_id":3069,"relation":"maintains","created_at":"2021-09-30T09:25:28.445Z","updated_at":"2021-09-30T09:25:28.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":3069,"name":"University of Indiana, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2004,"fairsharing_record_id":2212,"organisation_id":118,"relation":"funds","created_at":"2021-09-30T09:25:28.412Z","updated_at":"2021-09-30T09:25:28.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":118,"name":"Asian Pacific Bioinformatics Network (APBIONET)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2006,"fairsharing_record_id":2212,"organisation_id":151,"relation":"funds","created_at":"2021-09-30T09:25:28.491Z","updated_at":"2021-09-30T09:25:28.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":151,"name":"Australia's Academic and Research Network (AARNet), Australia","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2007,"fairsharing_record_id":2212,"organisation_id":1427,"relation":"funds","created_at":"2021-09-30T09:25:28.530Z","updated_at":"2021-09-30T09:25:28.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":1427,"name":"Institute of Microbiology of the Chinese Academy of Sciences (IMCAS), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2008,"fairsharing_record_id":2212,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:28.561Z","updated_at":"2021-09-30T09:25:28.561Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2209","type":"fairsharing_records","attributes":{"created_at":"2015-06-04T19:32:36.000Z","updated_at":"2023-12-15T10:28:25.076Z","metadata":{"doi":"10.25504/FAIRsharing.1hqd55","name":"Structural Biology Data Grid","status":"ready","contacts":[{"contact_name":"Piotr Sliz","contact_email":"sliz@hkl.hms.harvard.edu","contact_orcid":"0000-0002-6522-0835"}],"homepage":"http://data.sbgrid.org","citations":[],"identifier":2209,"description":"The Structural Biology Data Grid (SBGrid-DG) community-driven repository to preserve primary experimental datasets that support scientific publications. The SBGrid Data Bank is an open source research data management system enabling Structural Biologists to preserve x-ray diffraction data and to make it accessible to the broad research community.","abbreviation":"SBGrid-DG","data_curation":{"url":"https://data.sbgrid.org/help/deposit/","type":"none"},"support_links":[{"url":"https://data.sbgrid.org/contact/","type":"Contact form"},{"url":"data@sbgrid.org","name":"General Contact","type":"Support email"},{"url":"https://data.sbgrid.org/faq/","name":"General FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/SBGrid","name":"@SBGrid","type":"Twitter"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011601","name":"re3data:r3d100011601","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003511","name":"SciCrunch:RRID:SCR_003511","portal":"SciCrunch"}],"data_access_condition":{"url":"https://data.sbgrid.org/help/download/","type":"open","notes":"data download of each dataset can be done thorugh rsync"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://data.sbgrid.org/help/deposit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000683","bsg-d000683"],"name":"FAIRsharing record for: Structural Biology Data Grid","abbreviation":"SBGrid-DG","url":"https://fairsharing.org/10.25504/FAIRsharing.1hqd55","doi":"10.25504/FAIRsharing.1hqd55","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Structural Biology Data Grid (SBGrid-DG) community-driven repository to preserve primary experimental datasets that support scientific publications. The SBGrid Data Bank is an open source research data management system enabling Structural Biologists to preserve x-ray diffraction data and to make it accessible to the broad research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","X-ray diffraction","Light microscopy","Imaging","Light-sheet illumination","Centrally registered identifier","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["MicroED"],"countries":["China","Sweden","United States","Uruguay"],"publications":[{"id":746,"pubmed_id":24040512,"title":"Collaboration gets the most out of software.","year":2013,"url":"http://doi.org/10.7554/eLife.01456","authors":"Morin A,Eisenbraun B,Key J,Sanschagrin PC,Timony MA,Ottaviano M,Sliz P","journal":"Elife","doi":"10.7554/eLife.01456","created_at":"2021-09-30T08:23:42.153Z","updated_at":"2021-09-30T08:23:42.153Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1268,"relation":"undefined"},{"licence_name":"SBGrid Data Bank: Policies, Terms of Use and Guidelines","licence_id":726,"licence_url":"https://data.sbgrid.org/policies/","link_id":1269,"relation":"undefined"}],"grants":[{"id":1996,"fairsharing_record_id":2209,"organisation_id":2496,"relation":"maintains","created_at":"2021-09-30T09:25:28.096Z","updated_at":"2021-09-30T09:25:28.096Z","grant_id":null,"is_lead":true,"saved_state":{"id":2496,"name":"SBGrid Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":1999,"fairsharing_record_id":2209,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:25:28.212Z","updated_at":"2021-09-30T09:25:28.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1997,"fairsharing_record_id":2209,"organisation_id":2788,"relation":"maintains","created_at":"2021-09-30T09:25:28.132Z","updated_at":"2021-09-30T09:25:28.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":2788,"name":"The Institute for Quantitative Social Service, Harvard University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1998,"fairsharing_record_id":2209,"organisation_id":1706,"relation":"funds","created_at":"2021-09-30T09:25:28.174Z","updated_at":"2021-09-30T09:25:28.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":1706,"name":"Leona M. and Harry B. Helmsley Charitable Trust, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBajhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e2a3a1997f0e7bf02788fc6919d417918ba123ad/logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2205","type":"fairsharing_records","attributes":{"created_at":"2015-05-07T21:54:42.000Z","updated_at":"2023-06-23T15:53:06.524Z","metadata":{"doi":"10.25504/FAIRsharing.djyk2c","name":"MoonProt","status":"ready","contacts":[{"contact_name":"Constance Jeffery","contact_email":"cjeffery@uic.edu","contact_orcid":"0000-0002-2147-3638"}],"homepage":"http://www.moonlightingproteins.org","identifier":2205,"description":"MoonProt Database is a manually curated, searchable, internet-based resource with information about the over 200 proteins that have been experimentally verified to be moonlighting proteins. Moonlighting proteins comprise a class of multifunctional proteins in which a single polypeptide chain performs multiple biochemical functions that are not due to gene fusions, multiple RNA splice variants or pleiotropic effects. The availability of this organized information provides a more complete picture of what is currently known about moonlighting proteins. The database will also aid researchers in other fields, including determining the functions of genes identified in genome sequencing projects, interpreting data from proteomics projects and annotating protein sequence and structural databases. In addition, information about the structures and functions of moonlighting proteins can be helpful in understanding how novel protein functional sites evolved on an ancient protein scaffold, which can also help in the design of proteins with novel functions.","abbreviation":"MoonProt","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.moonlightingproteins.org/faqs.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.moonlightingproteins.org/faqs/","type":"open","notes":"Data can be submitted upon email request."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000679","bsg-d000679"],"name":"FAIRsharing record for: MoonProt","abbreviation":"MoonProt","url":"https://fairsharing.org/10.25504/FAIRsharing.djyk2c","doi":"10.25504/FAIRsharing.djyk2c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MoonProt Database is a manually curated, searchable, internet-based resource with information about the over 200 proteins that have been experimentally verified to be moonlighting proteins. Moonlighting proteins comprise a class of multifunctional proteins in which a single polypeptide chain performs multiple biochemical functions that are not due to gene fusions, multiple RNA splice variants or pleiotropic effects. The availability of this organized information provides a more complete picture of what is currently known about moonlighting proteins. The database will also aid researchers in other fields, including determining the functions of genes identified in genome sequencing projects, interpreting data from proteomics projects and annotating protein sequence and structural databases. In addition, information about the structures and functions of moonlighting proteins can be helpful in understanding how novel protein functional sites evolved on an ancient protein scaffold, which can also help in the design of proteins with novel functions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12717}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Protein identification","Function analysis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1951,"pubmed_id":25324305,"title":"MoonProt: a database for proteins that are known to moonlight.","year":2014,"url":"http://doi.org/10.1093/nar/gku954","authors":"Mani M, Chen C, Amblee V, Liu H, Mathur T, Zwicke G, Zabad S, Patel B, Thakkar J, Jeffery CJ.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku954","created_at":"2021-09-30T08:25:59.557Z","updated_at":"2021-09-30T08:25:59.557Z"}],"licence_links":[],"grants":[{"id":1975,"fairsharing_record_id":2205,"organisation_id":3067,"relation":"maintains","created_at":"2021-09-30T09:25:27.268Z","updated_at":"2021-09-30T09:25:27.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":3067,"name":"University of Illinois at Chicago, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2210","type":"fairsharing_records","attributes":{"created_at":"2015-06-24T15:49:08.000Z","updated_at":"2023-12-15T10:33:11.506Z","metadata":{"doi":"10.25504/FAIRsharing.aqhv1y","name":"NCBI BioProject","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"bioprojecthelp@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/bioproject/","citations":[{"doi":"10.1093/nar/gkr1163","pubmed_id":22139929,"publication_id":514}],"identifier":2210,"description":"A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. The BioProject database is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms.","abbreviation":"BioProject","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/bioproject/docs/faq/#will-ncbi-apply-further-curation","type":"none"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/bioproject/docs/faq/","name":"BioProject FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK54016","name":"NCBI Help Manual: BioProject","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK169438/","name":"BioProject Overview","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013330","name":"re3data:r3d100013330","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004801","name":"SciCrunch:RRID:SCR_004801","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/bioproject/browse","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://submit.ncbi.nlm.nih.gov/subs/bioproject/","type":"controlled","notes":"Sequence submission at NCBI requires a Log in."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000684","bsg-d000684"],"name":"FAIRsharing record for: NCBI BioProject","abbreviation":"BioProject","url":"https://fairsharing.org/10.25504/FAIRsharing.aqhv1y","doi":"10.25504/FAIRsharing.aqhv1y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. The BioProject database is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Metatranscriptomics","Life Science","Transcriptomics"],"domains":["Experimental measurement","Annotation","Genomic assembly","Sequencing","Experimentally determined","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":514,"pubmed_id":22139929,"title":"BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1163","authors":"Barrett T,Clark K,Gevorgyan R,Gorelenkov V,Gribov E,Karsch-Mizrachi I,Kimelman M,Pruitt KD,Resenchuk S,Tatusova T,Yaschenko E,Ostell J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1163","created_at":"2021-09-30T08:23:16.098Z","updated_at":"2021-09-30T11:28:46.975Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2066,"relation":"undefined"}],"grants":[{"id":2000,"fairsharing_record_id":2210,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:28.249Z","updated_at":"2021-09-30T09:25:28.249Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2001,"fairsharing_record_id":2210,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:28.291Z","updated_at":"2021-09-30T09:25:28.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2249","type":"fairsharing_records","attributes":{"created_at":"2015-12-09T15:29:05.000Z","updated_at":"2024-03-27T22:28:54.047Z","metadata":{"doi":"10.25504/FAIRsharing.tpqndj","name":"ModelArchive","status":"ready","contacts":[{"contact_name":"Torsten Schwede","contact_email":"torsten.schwede@unibas.ch","contact_orcid":"0000-0003-2715-335X"}],"homepage":"https://www.modelarchive.org/","citations":[],"identifier":2249,"description":"ModelArchive is the archive for structural models which are not based on experimental data and complements the PDB archive for experimental structures and PDB-Dev for integrative structures. The ModelArchive is being developed following the \"Workshop on Applications of Protein Models in Biomedical Research\" held at the University of California, San Francisco in July 2008 for applications of protein models in biomedical research. ModelArchive is a repository for depositions of computed models of macromolecular structures which are not based on experimental data. The models can consist of any combination of proteins, RNA, DNA, or carbohydrates and include small molecules bound to them. Deposited models are findable, accessible, interoperable and reusable. Depositions are assigned a DOI to be included in manuscripts for which the model was generated.","abbreviation":null,"data_curation":{"url":"https://www.modelarchive.org/help","type":"manual","notes":"data deposit minimum information"},"support_links":[{"url":"help-modelarchive@unibas.ch","name":"General Contact","type":"Support email"},{"url":"https://www.modelarchive.org/help","name":"Help Documentation","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://matomo.org/","name":"Matomo"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"name":"supported by the SIB - Swiss Institute of Bioinformatics"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://modelarchive.org/account","type":"controlled","notes":"Free registration is required and submitted information is check prior to publication."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000723","bsg-d000723"],"name":"FAIRsharing record for: ModelArchive","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tpqndj","doi":"10.25504/FAIRsharing.tpqndj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ModelArchive is the archive for structural models which are not based on experimental data and complements the PDB archive for experimental structures and PDB-Dev for integrative structures. The ModelArchive is being developed following the \"Workshop on Applications of Protein Models in Biomedical Research\" held at the University of California, San Francisco in July 2008 for applications of protein models in biomedical research. ModelArchive is a repository for depositions of computed models of macromolecular structures which are not based on experimental data. The models can consist of any combination of proteins, RNA, DNA, or carbohydrates and include small molecules bound to them. Deposited models are findable, accessible, interoperable and reusable. Depositions are assigned a DOI to be included in manuscripts for which the model was generated.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11540},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12736}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Structural Biology"],"domains":["Molecular structure","Mathematical model","Protein structure","Computational biological predictions","Modeling and simulation","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United States"],"publications":[{"id":1369,"pubmed_id":23624946,"title":"The Protein Model Portal--a comprehensive resource for protein structure and model information.","year":2013,"url":"http://doi.org/10.1093/database/bat031","authors":"Haas J,Roth S,Arnold K,Kiefer F,Schmidt T,Bordoli L,Schwede T","journal":"Database (Oxford)","doi":"10.1093/database/bat031","created_at":"2021-09-30T08:24:53.093Z","updated_at":"2021-09-30T08:24:53.093Z"},{"id":2988,"pubmed_id":19217386,"title":"Outcome of a workshop on applications of protein models in biomedical research.","year":2009,"url":"http://doi.org/10.1016/j.str.2008.12.014","authors":"Schwede T,Sali A,Honig B,Levitt M,Berman HM et al.","journal":"Structure","doi":"10.1016/j.str.2008.12.014","created_at":"2021-09-30T08:28:08.333Z","updated_at":"2021-09-30T08:28:08.333Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":535,"relation":"undefined"}],"grants":[{"id":2121,"fairsharing_record_id":2249,"organisation_id":284,"relation":"maintains","created_at":"2021-09-30T09:25:32.790Z","updated_at":"2021-09-30T09:25:32.790Z","grant_id":null,"is_lead":true,"saved_state":{"id":284,"name":"Biozentrum, University of Basel, Basel, Switzerland","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":2123,"fairsharing_record_id":2249,"organisation_id":2682,"relation":"funds","created_at":"2021-09-30T09:25:32.844Z","updated_at":"2021-09-30T09:25:32.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11062,"fairsharing_record_id":2249,"organisation_id":908,"relation":"collaborates_on","created_at":"2023-10-30T20:38:10.031Z","updated_at":"2023-10-30T20:38:10.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":11063,"fairsharing_record_id":2249,"organisation_id":2689,"relation":"funds","created_at":"2023-10-30T20:38:10.054Z","updated_at":"2023-10-30T20:38:10.054Z","grant_id":1986,"is_lead":false,"saved_state":{"id":2689,"name":"swiss universities","grant":"Swiss Open Research Data Grants (CHORD), Track B","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11064,"fairsharing_record_id":2249,"organisation_id":819,"relation":"collaborates_on","created_at":"2023-10-30T20:38:10.296Z","updated_at":"2023-10-30T20:38:10.296Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11065,"fairsharing_record_id":2249,"organisation_id":3597,"relation":"collaborates_on","created_at":"2023-10-30T20:38:10.481Z","updated_at":"2023-10-30T20:38:10.481Z","grant_id":null,"is_lead":false,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVVFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c8956d04314f0037c6704e29c12e05bfdaab8fe1/Screenshot%20from%202024-03-27%2021-53-17.png?disposition=inline","exhaustive_licences":true}},{"id":"2250","type":"fairsharing_records","attributes":{"created_at":"2015-12-15T12:46:05.000Z","updated_at":"2023-12-15T10:32:47.150Z","metadata":{"doi":"10.25504/FAIRsharing.1d0vs7","name":"Mediterranean Founder Mutation Database","status":"ready","contacts":[{"contact_name":"Hicham Charoute","contact_email":"hcharoute@hotmail.fr","contact_orcid":"0000-0002-9338-6744"}],"homepage":"http://mfmd.pasteur.ma/","identifier":2250,"description":"A comprehensive database established to offer a web-based access to founder mutation data in Mediterranean population. The database provides an overview about the spectrum of founder mutations found in Mediterranean population to the scientific community. Furthermore, MFMD will help scientists to design more efficient diagnostic tests and provides beneficial information to understand the history and the migration events of the Mediterranean population.","abbreviation":"MFMD","data_curation":{"url":"http://mfmd.pasteur.ma/index.php","type":"manual"},"support_links":[{"url":"http://mfmd.pasteur.ma/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://mfmd.pasteur.ma/submission.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000724","bsg-d000724"],"name":"FAIRsharing record for: Mediterranean Founder Mutation Database","abbreviation":"MFMD","url":"https://fairsharing.org/10.25504/FAIRsharing.1d0vs7","doi":"10.25504/FAIRsharing.1d0vs7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive database established to offer a web-based access to founder mutation data in Mediterranean population. The database provides an overview about the spectrum of founder mutations found in Mediterranean population to the scientific community. Furthermore, MFMD will help scientists to design more efficient diagnostic tests and provides beneficial information to understand the history and the migration events of the Mediterranean population.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science","Population Genetics"],"domains":["Mutation","Founder effect","Gene-disease association","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Morocco"],"publications":[{"id":907,"pubmed_id":26173767,"title":"Mediterranean Founder Mutation Database (MFMD): Taking Advantage from Founder Mutations in Genetics Diagnosis, Genetic Diversity and Migration History of the Mediterranean Population.","year":2015,"url":"http://doi.org/10.1002/humu.22835","authors":"Charoute H, Bakhchane A, Benrahma H, Romdhane L, Gabi K, Rouba H, Fakiri M, Abdelhak S, Lenaers G, Barakat A.","journal":"Human Mutation","doi":"10.1002/humu.22835","created_at":"2021-09-30T08:24:00.145Z","updated_at":"2021-09-30T08:24:00.145Z"}],"licence_links":[],"grants":[{"id":2125,"fairsharing_record_id":2250,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:25:32.901Z","updated_at":"2021-09-30T09:25:32.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2126,"fairsharing_record_id":2250,"organisation_id":2293,"relation":"maintains","created_at":"2021-09-30T09:25:32.941Z","updated_at":"2021-09-30T09:25:32.941Z","grant_id":null,"is_lead":false,"saved_state":{"id":2293,"name":"Pasteur Institute of Morocco","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2251","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T11:15:53.000Z","updated_at":"2023-12-15T10:30:09.794Z","metadata":{"doi":"10.25504/FAIRsharing.n8qft8","name":"Mexican Health and Aging Study","status":"ready","contacts":[{"contact_name":"Rebeca Wong","contact_email":"rewong@utmb.edu","contact_orcid":"0000-0001-7287-0660"}],"homepage":"http://www.mhasweb.org/","identifier":2251,"description":"The MHAS study is a series of questionnaires distributed in waves, the fourth of which was fielded in the Fall of 2015. Research goals include, but are not limited to the following: examination of the aging processes and its disease and disability burden in a large representative panel of older Mexicans; evaluation of the effects of individual behaviors, early life circumstances, migration and economic history, community characteristics, and family transfer systems on multiple health outcomes; and comparison of the health dynamics of older Mexicans with comparably aged Mexican-born migrants in the U.S. and second generation Mexican-American using similar data from the U.S. population (for example the biennial Health and Retirement Study HRS) to assess the durability of the migrant health advantage.","abbreviation":"MHAS","data_curation":{"type":"not found"},"support_links":[{"url":"info@mhasweb.com","type":"Support email"},{"url":"http://www.mhasweb.org/DocumentationQuestionnaire.aspx","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011840","name":"re3data:r3d100011840","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000818","name":"SciCrunch:RRID:SCR_000818","portal":"SciCrunch"}],"data_access_condition":{"type":"open","notes":"Registration required"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000725","bsg-d000725"],"name":"FAIRsharing record for: Mexican Health and Aging Study","abbreviation":"MHAS","url":"https://fairsharing.org/10.25504/FAIRsharing.n8qft8","doi":"10.25504/FAIRsharing.n8qft8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MHAS study is a series of questionnaires distributed in waves, the fourth of which was fielded in the Fall of 2015. Research goals include, but are not limited to the following: examination of the aging processes and its disease and disability burden in a large representative panel of older Mexicans; evaluation of the effects of individual behaviors, early life circumstances, migration and economic history, community characteristics, and family transfer systems on multiple health outcomes; and comparison of the health dynamics of older Mexicans with comparably aged Mexican-born migrants in the U.S. and second generation Mexican-American using similar data from the U.S. population (for example the biennial Health and Retirement Study HRS) to assess the durability of the migrant health advantage.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11123}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Biomedical Science"],"domains":["Aging","Questionnaire","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Mexico","United States"],"publications":[{"id":890,"pubmed_id":26172238,"title":"Progression of aging in Mexico: the Mexican Health and Aging Study (MHAS) 2012.","year":2015,"url":"http://doi.org/10.21149/spm.v57s1.7593","authors":"Wong R,Michaels-Obregon A,Palloni A,Gutierrez-Robledo LM,Gonzalez-Gonzalez C,Lopez-Ortega M,Tellez-Rojo MM,Mendoza-Alvarado LR","journal":"Salud Publica Mex","doi":"10.21149/spm.v57s1.7593","created_at":"2021-09-30T08:23:58.321Z","updated_at":"2021-09-30T08:23:58.321Z"}],"licence_links":[{"licence_name":"Mexican Health and Aging Study - Unrestricted after Registration (Majority)","licence_id":507,"licence_url":"http://www.mhasweb.org/Data.aspx","link_id":1204,"relation":"undefined"},{"licence_name":"MHAS - Usage Restricted (Subset of Data only)","licence_id":512,"licence_url":"http://www.mhasweb.org/resources/MHAS%20Restricted-Use%20Files.pdf","link_id":1205,"relation":"undefined"}],"grants":[{"id":2127,"fairsharing_record_id":2251,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:25:32.973Z","updated_at":"2021-09-30T09:29:50.363Z","grant_id":428,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"R01-AG018016","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2255","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T13:40:13.000Z","updated_at":"2024-03-21T13:59:33.931Z","metadata":{"doi":"10.25504/FAIRsharing.q04phv","name":"NIH Human Microbiome Project","status":"ready","contacts":[],"homepage":"http://hmpdacc.org/","citations":[{"doi":"10.1038/nature11209","pubmed_id":22699610,"publication_id":889},{"doi":"10.1038/s41586-019-1238-8","pubmed_id":null,"publication_id":3890}],"identifier":2255,"description":"The NIH Common Fund Human Microbiome Project (HMP) was established in 2008, with the mission of generating resources that would enable the comprehensive characterization of the human microbiome and analysis of its role in human health and disease. The HMP has characterized the microbial communities found at several different sites on the human body: nasal passages, oral cavity, skin, gastrointestinal tract, and urogenital tract.","abbreviation":"HMP","data_curation":{"type":"not found"},"support_links":[{"url":"http://hmpdacc.org/outreach/feedback.php","type":"Contact form"},{"url":"http://hmpdacc.org/overview/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://commonfund.nih.gov/hmp/index","type":"Help documentation"},{"url":"https://twitter.com/hmpdacc","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://hmpdacc.org/sp/","name":"SitePainter"}],"data_access_condition":{"url":"https://www.hmpdacc.org/hmp/overview/data-model.php","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000729","bsg-d000729"],"name":"FAIRsharing record for: NIH Human Microbiome Project","abbreviation":"HMP","url":"https://fairsharing.org/10.25504/FAIRsharing.q04phv","doi":"10.25504/FAIRsharing.q04phv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NIH Common Fund Human Microbiome Project (HMP) was established in 2008, with the mission of generating resources that would enable the comprehensive characterization of the human microbiome and analysis of its role in human health and disease. The HMP has characterized the microbial communities found at several different sites on the human body: nasal passages, oral cavity, skin, gastrointestinal tract, and urogenital tract.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10814},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11127}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Microbiome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":888,"pubmed_id":22699609,"title":"Structure, function and diversity of the healthy human microbiome.","year":2012,"url":"http://doi.org/10.1038/nature11234","authors":"The Human Microbiome Project Consortium","journal":"Nature","doi":"10.1038/nature11234","created_at":"2021-09-30T08:23:58.052Z","updated_at":"2021-09-30T11:28:31.185Z"},{"id":889,"pubmed_id":22699610,"title":"A framework for human microbiome research.","year":2012,"url":"http://doi.org/10.1038/nature11209","authors":"The Human Microbiome Project Consortium","journal":"Nature","doi":"10.1038/nature11209","created_at":"2021-09-30T08:23:58.160Z","updated_at":"2021-09-30T11:28:31.296Z"},{"id":3890,"pubmed_id":null,"title":"The Integrative Human Microbiome Project","year":2019,"url":"http://dx.doi.org/10.1038/s41586-019-1238-8","authors":"undefined, undefined; ","journal":"Nature","doi":"10.1038/s41586-019-1238-8","created_at":"2023-06-06T08:32:33.048Z","updated_at":"2023-06-06T08:32:33.048Z"}],"licence_links":[{"licence_name":"NIH HMP Web Policies and Notices","licence_id":585,"licence_url":"http://hmpdacc.org/policy.php","link_id":887,"relation":"undefined"}],"grants":[{"id":2138,"fairsharing_record_id":2255,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:25:33.371Z","updated_at":"2021-09-30T09:25:33.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2133,"fairsharing_record_id":2255,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:33.211Z","updated_at":"2021-09-30T09:25:33.211Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2134,"fairsharing_record_id":2255,"organisation_id":2162,"relation":"maintains","created_at":"2021-09-30T09:25:33.253Z","updated_at":"2021-09-30T09:25:33.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":2162,"name":"NIH Data Analysis and Coordination Center (DACC)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2137,"fairsharing_record_id":2255,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:25:33.346Z","updated_at":"2021-09-30T09:25:33.346Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2139,"fairsharing_record_id":2255,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:25:33.410Z","updated_at":"2021-09-30T09:25:33.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11552,"fairsharing_record_id":2255,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:51.211Z","updated_at":"2024-03-21T13:58:51.211Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11606,"fairsharing_record_id":2255,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:33.733Z","updated_at":"2024-03-21T13:59:33.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2256","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T14:10:05.000Z","updated_at":"2023-12-15T10:32:02.398Z","metadata":{"doi":"10.25504/FAIRsharing.m8wewa","name":"Cancer Genome Atlas","status":"ready","contacts":[{"contact_email":"tcga@mail.nih.gov"}],"homepage":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga","citations":[],"identifier":2256,"description":"The Cancer Genome Atlas (TCGA) is a comprehensive, collaborative effort led by the National Institutes of Health (NIH) to map the genomic changes associated with specific types of tumors to improve the prevention, diagnosis and treatment of cancer. Its mission is to accelerate the understanding of the molecular basis of cancer through the application of genome analysis and characterization technologies.","abbreviation":"TCGA","data_curation":{"type":"not found"},"support_links":[{"url":"https://wiki.nci.nih.gov/display/TCGA/TCGA+Data+Primer","type":"Help documentation"},{"url":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/history","type":"Help documentation"},{"url":"https://twitter.com/TCGAupdates","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/using-tcga/tools","name":"TCGA Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011173","name":"re3data:r3d100011173","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003193","name":"SciCrunch:RRID:SCR_003193","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000730","bsg-d000730"],"name":"FAIRsharing record for: Cancer Genome Atlas","abbreviation":"TCGA","url":"https://fairsharing.org/10.25504/FAIRsharing.m8wewa","doi":"10.25504/FAIRsharing.m8wewa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer Genome Atlas (TCGA) is a comprehensive, collaborative effort led by the National Institutes of Health (NIH) to map the genomic changes associated with specific types of tumors to improve the prevention, diagnosis and treatment of cancer. Its mission is to accelerate the understanding of the molecular basis of cancer through the application of genome analysis and characterization technologies.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11128},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12739}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science","Biomedical Science"],"domains":["Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":785,"pubmed_id":25654590,"title":"The future of cancer genomics.","year":2015,"url":"http://doi.org/10.1038/nm.3801","authors":"No authors listed","journal":"Nat Med","doi":"10.1038/nm.3801","created_at":"2021-09-30T08:23:46.535Z","updated_at":"2021-09-30T11:28:30.971Z"},{"id":794,"pubmed_id":21383744,"title":"Cancer genomics: from discovery science to personalized medicine.","year":2011,"url":"http://doi.org/10.1038/nm.2323","authors":"Chin L,Andersen JN,Futreal PA","journal":"Nat Med","doi":"10.1038/nm.2323","created_at":"2021-09-30T08:23:47.511Z","updated_at":"2021-09-30T08:23:47.511Z"},{"id":1126,"pubmed_id":21406553,"title":"Making sense of cancer genomic data.","year":2011,"url":"http://doi.org/10.1101/gad.2017311","authors":"Chin L,Hahn WC,Getz G,Meyerson M","journal":"Genes Dev","doi":"10.1101/gad.2017311","created_at":"2021-09-30T08:24:24.783Z","updated_at":"2021-09-30T08:24:24.783Z"},{"id":1286,"pubmed_id":25691825,"title":"The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.","year":2015,"url":"http://doi.org/10.5114/wo.2014.47136","authors":"Tomczak K,Czerwinska P,Wiznerowicz M","journal":"Contemp Oncol (Pozn)","doi":"10.5114/wo.2014.47136","created_at":"2021-09-30T08:24:43.542Z","updated_at":"2021-09-30T08:24:43.542Z"}],"licence_links":[{"licence_name":"The Cancer Genome Atlas data policies and guidelines","licence_id":783,"licence_url":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/history/policies","link_id":1315,"relation":"undefined"}],"grants":[{"id":2141,"fairsharing_record_id":2256,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:33.486Z","updated_at":"2021-09-30T09:25:33.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2140,"fairsharing_record_id":2256,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:25:33.439Z","updated_at":"2021-09-30T09:25:33.439Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2259","type":"fairsharing_records","attributes":{"created_at":"2016-01-06T08:30:27.000Z","updated_at":"2023-12-15T10:29:45.218Z","metadata":{"doi":"10.25504/FAIRsharing.pxr7x2","name":"SwissLipids","status":"ready","contacts":[{"contact_name":"Alan Bridge","contact_email":"swisslipids@isb-sib.ch","contact_orcid":"0000-0003-2148-9135"}],"homepage":"http://www.swisslipids.org/#/","citations":[],"identifier":2259,"description":"SwissLipids is an expert-curated resource that provides a framework for the integration of lipid and lipidomic data with biological knowledge and models. SwissLipids is updated daily.","abbreviation":"SwissLipids","data_curation":{"url":"http://www.swisslipids.org/#/about","type":"manual","notes":"Expert curated lipids"},"support_links":[{"url":"http://www.swisslipids.org/#/about","name":"About","type":"Help documentation"},{"url":"http://www.swisslipids.org/#/news","name":"News","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012603","name":"re3data:r3d100012603","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000733","bsg-d000733"],"name":"FAIRsharing record for: SwissLipids","abbreviation":"SwissLipids","url":"https://fairsharing.org/10.25504/FAIRsharing.pxr7x2","doi":"10.25504/FAIRsharing.pxr7x2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SwissLipids is an expert-curated resource that provides a framework for the integration of lipid and lipidomic data with biological knowledge and models. SwissLipids is updated daily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Mass spectrum","Chemical structure","Lipid","Cellular localization","Molecular interaction","Enzyme","Structure","Literature curation","Biocuration"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":187,"pubmed_id":25943471,"title":"The SwissLipids knowledgebase for lipid biology.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv285","authors":"Aimo L,Liechti R,Hyka-Nouspikel N,Niknejad A,Gleizes A,Gotz L,Kuznetsov D,David FP,van der Goot FG,Riezman H,Bougueleret L,Xenarios I,Bridge A","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv285","created_at":"2021-09-30T08:22:40.522Z","updated_at":"2021-09-30T08:22:40.522Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":871,"relation":"undefined"}],"grants":[{"id":2156,"fairsharing_record_id":2259,"organisation_id":2635,"relation":"funds","created_at":"2021-09-30T09:25:34.023Z","updated_at":"2021-09-30T09:25:34.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation SERI","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2155,"fairsharing_record_id":2259,"organisation_id":2687,"relation":"maintains","created_at":"2021-09-30T09:25:33.992Z","updated_at":"2021-09-30T09:25:33.992Z","grant_id":null,"is_lead":false,"saved_state":{"id":2687,"name":"Swiss-Prot group, SIB Swiss Institute of Bioinformatics","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2157,"fairsharing_record_id":2259,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:25:34.051Z","updated_at":"2021-09-30T09:25:34.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2158,"fairsharing_record_id":2259,"organisation_id":3193,"relation":"maintains","created_at":"2021-09-30T09:25:34.081Z","updated_at":"2021-09-30T09:25:34.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":3193,"name":"Vital-IT group, SIB Swiss Institute of Bioinformatics, Switzerland","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2260","type":"fairsharing_records","attributes":{"created_at":"2016-01-15T14:48:10.000Z","updated_at":"2022-02-23T19:04:03.834Z","metadata":{"doi":"10.25504/FAIRsharing.bc3cnk","name":"Visualizing Continuous Health Usability Test Results Dataset","status":"deprecated","contacts":[{"contact_name":"Andres Ledesma","contact_email":"andres.ledesma@tut.fi"}],"homepage":"http://www.tut.fi/phi/?p=319","identifier":2260,"description":"The dataset was obtained from series of usability tests on a software tool for visualizing continuous health status of a modeled patient. The emphasis of this results are on the hFigures visualization llibrary. The software is a dashboard for visualizing the health status of a modeled virtual patient improving the health condition over a coaching program. The files are in machine-readable format saved as comma separated values. The questionnaires applied were: After Scenario Questionnaire Computer System Usability Questionnaire Nielsen’s Heuristic Evaluation The questionnaires were done using the web application by Gary Perlman available in the url: garyperlman.com/quest/ the file laboratory.csv contains the tasks and their time to completion along with the errors occurred. The tasks, software tool and research context is available in the article submitted to BMC Medical Informatics \u0026 Decision Making. The experiment included three usability experts and eleven non-expert users. The file asq.csv contains the answers to the three questions of the After Scenario Questionnaire. The file csuq.csv contains the answers to the 19 questions of the Computer System Usability Questionnaire. The file heuristics.csv contains the answers to the 10 questions of the Nielsen’s Heuristic Evaluation. This datasets are available under the MIT license.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000734","bsg-d000734"],"name":"FAIRsharing record for: Visualizing Continuous Health Usability Test Results Dataset","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bc3cnk","doi":"10.25504/FAIRsharing.bc3cnk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The dataset was obtained from series of usability tests on a software tool for visualizing continuous health status of a modeled patient. The emphasis of this results are on the hFigures visualization llibrary. The software is a dashboard for visualizing the health status of a modeled virtual patient improving the health condition over a coaching program. The files are in machine-readable format saved as comma separated values. The questionnaires applied were: After Scenario Questionnaire Computer System Usability Questionnaire Nielsen’s Heuristic Evaluation The questionnaires were done using the web application by Gary Perlman available in the url: garyperlman.com/quest/ the file laboratory.csv contains the tasks and their time to completion along with the errors occurred. The tasks, software tool and research context is available in the article submitted to BMC Medical Informatics \u0026 Decision Making. The experiment included three usability experts and eleven non-expert users. The file asq.csv contains the answers to the three questions of the After Scenario Questionnaire. The file csuq.csv contains the answers to the 19 questions of the Computer System Usability Questionnaire. The file heuristics.csv contains the answers to the 10 questions of the Nielsen’s Heuristic Evaluation. This datasets are available under the MIT license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Finland"],"publications":[],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":890,"relation":"undefined"}],"grants":[{"id":8890,"fairsharing_record_id":2260,"organisation_id":2703,"relation":"associated_with","created_at":"2022-02-23T19:03:25.748Z","updated_at":"2022-02-23T19:03:25.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":2703,"name":"Tampere University, Finland","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2261","type":"fairsharing_records","attributes":{"created_at":"2016-01-22T03:31:01.000Z","updated_at":"2023-12-15T10:30:53.503Z","metadata":{"doi":"10.25504/FAIRsharing.bcjrnq","name":"Physiome Model Repository","status":"ready","contacts":[{"contact_name":"Repository Help","contact_email":"help@physiomeproject.org"}],"homepage":"https://models.physiomeproject.org","citations":[],"identifier":2261,"description":"The Physiome Model Repository (PMR) is the main online repository for the IUPS Physiome Project, providing version and access controlled repositories, called workspaces, for users to store their data. PMR also provides a mechanism to create persistent access to specific revisions of a workspace, termed exposures. Exposure plugins are available for specific types of data (e.g., CellML or FieldML documents) which enable customizable views of the data when browsing the repository via a web browser, or an application accessing the repository’s content via web services.","abbreviation":"PMR","data_curation":{"type":"not found"},"support_links":[{"url":"https://models.physiomeproject.org/about/contact","name":"General Contact","type":"Contact form"},{"url":"https://aucklandphysiomerepository.readthedocs.io/en/latest/","name":"User Documentation","type":"Help documentation"},{"url":"https://twitter.com/physiomeproject","name":"@physiomeproject","type":"Twitter"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"http://opencor.ws","name":"OpenCOR"},{"url":"https://github.com/pmr2","name":"PMR2"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000735","bsg-d000735"],"name":"FAIRsharing record for: Physiome Model Repository","abbreviation":"PMR","url":"https://fairsharing.org/10.25504/FAIRsharing.bcjrnq","doi":"10.25504/FAIRsharing.bcjrnq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Physiome Model Repository (PMR) is the main online repository for the IUPS Physiome Project, providing version and access controlled repositories, called workspaces, for users to store their data. PMR also provides a mechanism to create persistent access to specific revisions of a workspace, termed exposures. Exposure plugins are available for specific types of data (e.g., CellML or FieldML documents) which enable customizable views of the data when browsing the repository via a web browser, or an application accessing the repository’s content via web services.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12250}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Mathematics","Life Science","Physiology","Biomedical Science","Systems Biology"],"domains":["Mathematical model","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["New Zealand","United Kingdom","United States"],"publications":[{"id":932,"pubmed_id":21216774,"title":"The Physiome Model Repository 2.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btq723","authors":"Yu T,Lloyd CM,Nickerson DP,Cooling MT,Miller AK,Garny A,Terkildsen JR,Lawson J,Britten RD,Hunter PJ,Nielsen PM","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq723","created_at":"2021-09-30T08:24:03.080Z","updated_at":"2021-09-30T08:24:03.080Z"},{"id":935,"pubmed_id":18658182,"title":"The CellML Model Repository.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn390","authors":"Lloyd CM,Lawson JR,Hunter PJ,Nielsen PF","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn390","created_at":"2021-09-30T08:24:03.454Z","updated_at":"2021-09-30T08:24:03.454Z"},{"id":1405,"pubmed_id":19380315,"title":"CellML metadata standards, associated tools and repositories.","year":2009,"url":"http://doi.org/10.1098/rsta.2008.0310","authors":"Beard DA,Britten R,Cooling MT,Garny A,Halstead MD,Hunter PJ,Lawson J,Lloyd CM,Marsh J,Miller A,Nickerson DP,Nielsen PM,Nomura T,Subramanium S,Wimalaratne SM,Yu T","journal":"Philos Trans A Math Phys Eng Sci","doi":"10.1098/rsta.2008.0310","created_at":"2021-09-30T08:24:57.083Z","updated_at":"2021-09-30T08:24:57.083Z"},{"id":2143,"pubmed_id":21235804,"title":"Revision history aware repositories of computational models of biological systems.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-22","authors":"Miller AK,Yu T,Britten R,Cooling MT,Lawson J,Cowan D,Garny A,Halstead MD,Hunter PJ,Nickerson DP,Nunns G,Wimalaratne SM,Nielsen PM","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-22","created_at":"2021-09-30T08:26:21.558Z","updated_at":"2021-09-30T08:26:21.558Z"},{"id":2679,"pubmed_id":17947072,"title":"Toward a curated CellML model repository.","year":2007,"url":"http://doi.org/10.1109/IEMBS.2006.260202","authors":"Nickerson D,Stevens C,Halstead M,Hunter P,Nielsen P","journal":"Conf Proc IEEE Eng Med Biol Soc","doi":"10.1109/IEMBS.2006.260202","created_at":"2021-09-30T08:27:28.980Z","updated_at":"2021-09-30T08:27:28.980Z"},{"id":2686,"pubmed_id":27051515,"title":"The Human Physiome: how standards, software and innovative service infrastructures are providing the building blocks to make it achievable.","year":2016,"url":"http://doi.org/10.1098/rsfs.2015.0103","authors":"Nickerson D,Atalag K,de Bono B,Geiger J,Goble C,Hollmann S,Lonien J,Muller W,Regierer B,Stanford NJ,Golebiewski M,Hunter P","journal":"Interface Focus","doi":"10.1098/rsfs.2015.0103","created_at":"2021-09-30T08:27:29.972Z","updated_at":"2021-09-30T08:27:29.972Z"}],"licence_links":[],"grants":[{"id":2160,"fairsharing_record_id":2261,"organisation_id":134,"relation":"maintains","created_at":"2021-09-30T09:25:34.186Z","updated_at":"2021-09-30T09:25:34.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":134,"name":"Auckland Bioengineering Institute, New Zealand","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2263","type":"fairsharing_records","attributes":{"created_at":"2016-03-02T05:59:46.000Z","updated_at":"2023-12-15T10:32:51.731Z","metadata":{"doi":"10.25504/FAIRsharing.dw22y3","name":"Genetic and Genomic Information System","status":"ready","contacts":[{"contact_name":"URGI Contact","contact_email":"urgi-contact@versailles.inra.fr","contact_orcid":"0000-0003-3001-4908"}],"homepage":"https://urgi.versailles.inra.fr/gnpis","identifier":2263,"description":"GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.","abbreviation":"GnpIS","data_curation":{"url":"https://urgi.versailles.inrae.fr/Species/Botrytis","type":"manual/automated","notes":"Some data, such as genomes are mmanually curated and functionaly annotated"},"support_links":[{"url":"urgi-support@versailles.inra.fr","type":"Support email"}],"year_creation":2001,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012647","name":"re3data:r3d100012647","portal":"re3data"}],"data_access_condition":{"type":"partially open","notes":"Some data can only be accessed through a register form, only possible for project partners."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://urgi.versailles.inrae.fr/Data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000737","bsg-d000737"],"name":"FAIRsharing record for: Genetic and Genomic Information System","abbreviation":"GnpIS","url":"https://fairsharing.org/10.25504/FAIRsharing.dw22y3","doi":"10.25504/FAIRsharing.dw22y3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11366},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11872},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12175},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12741},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16741}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genetic map","Genome map","Expression data","DNA sequence data","Genetic polymorphism","Phenotype","Genotype"],"taxonomies":["Agaricus subrefescens","Arabidopsis thaliana","Arabis alpina","Botrytis cinerea B0510","Botrytis cinerea T4","Leptosphaeria","Malus x domestica","Medicago truncatula","Microbotryum violaceum","Oryza","Pisum sativum L.","Plantae","Populus trichocarpa","Sclerotinia sclerotiorum","Solanum lycopersicum (ITAG 2.3)","Triticum aestivum","Tuber melanosporum","Venturia inaequalis","Vitis vinifera","Zea mays"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2210,"pubmed_id":23959375,"title":"GnpIS: an information system to integrate genetic and genomic data from plants and fungi","year":2013,"url":"http://doi.org/10.1093/database/bat058","authors":"Delphine Steinbach, Michael Alaux, Joelle Amselem, Nathalie Choisne, Sophie Durand, Raphaël Flores, Aminah-Olivia Keliet, Erik Kimmel, Nicolas Lapalu, Isabelle Luyten, Célia Michotey, Nacer Mohellibi, Cyril Pommier, Sébastien Reboux, Dorothée Valdenaire, Daphné Verdelet and Hadi Quesneville*","journal":"Database","doi":"10.1093/database/bat058","created_at":"2021-09-30T08:26:29.074Z","updated_at":"2021-09-30T08:26:29.074Z"}],"licence_links":[],"grants":[{"id":2166,"fairsharing_record_id":2263,"organisation_id":2872,"relation":"maintains","created_at":"2021-09-30T09:25:34.362Z","updated_at":"2021-09-30T09:25:34.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":2872,"name":"trans-national infrastructure for plant genomic science (transPLANT)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2170,"fairsharing_record_id":2263,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:25:34.473Z","updated_at":"2021-09-30T09:25:34.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2168,"fairsharing_record_id":2263,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:25:34.413Z","updated_at":"2021-09-30T09:31:17.133Z","grant_id":1101,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"283496","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2167,"fairsharing_record_id":2263,"organisation_id":2919,"relation":"maintains","created_at":"2021-09-30T09:25:34.389Z","updated_at":"2021-09-30T09:25:34.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":2919,"name":"Unité de Recherche Genomique Info (URGI), Institut National de la Recherche Agronomique (INRA), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2169,"fairsharing_record_id":2263,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:34.439Z","updated_at":"2021-09-30T09:25:34.439Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2171,"fairsharing_record_id":2263,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:25:34.497Z","updated_at":"2021-09-30T09:25:34.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2264","type":"fairsharing_records","attributes":{"created_at":"2016-03-08T19:07:34.000Z","updated_at":"2023-06-23T11:33:59.194Z","metadata":{"doi":"10.25504/FAIRsharing.j97pjn","name":"Validated Antibody Database","status":"ready","contacts":[{"contact_name":"Hanqing Xie","contact_email":"han@labome.com"}],"homepage":"http://www.labome.com","citations":[],"identifier":2264,"description":"Labome organizes reagent information from high quality suppliers. The reagents include antibodies, siRNA/shRNA, ELISA kits, cDNA clones, proteins/peptides, and biochemicals. To help solve the antibody quality problem, Labome manually curates antibody information from formal publications and develops Validated Antibody Database (VAD).","abbreviation":"VAD","data_curation":{"type":"manual","notes":"VAD is a manually curated database."},"support_links":[{"url":"https://twitter.com/labome","type":"Twitter"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"url":"https://www.labome.com/bin/ea.pl?q=","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000738","bsg-d000738"],"name":"FAIRsharing record for: Validated Antibody Database","abbreviation":"VAD","url":"https://fairsharing.org/10.25504/FAIRsharing.j97pjn","doi":"10.25504/FAIRsharing.j97pjn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Labome organizes reagent information from high quality suppliers. The reagents include antibodies, siRNA/shRNA, ELISA kits, cDNA clones, proteins/peptides, and biochemicals. To help solve the antibody quality problem, Labome manually curates antibody information from formal publications and develops Validated Antibody Database (VAD).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Peptide","Reagent","Antibody","Protein","Complementary DNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3887,"pubmed_id":null,"title":"Abstract 3111: Validated antibody Database: A curated database of antibodies cited in formal publications","year":2017,"url":"http://dx.doi.org/10.1158/1538-7445.AM2017-3111","authors":"Xie, Hanqing; ","journal":"Cancer Research","doi":"10.1158/1538-7445.am2017-3111","created_at":"2023-06-05T08:43:18.837Z","updated_at":"2023-06-05T08:43:18.837Z"}],"licence_links":[{"licence_name":"Labome Copyright","licence_id":484,"licence_url":"http://www.labome.com/about/copyright.html","link_id":891,"relation":"undefined"}],"grants":[{"id":2172,"fairsharing_record_id":2264,"organisation_id":1660,"relation":"maintains","created_at":"2021-09-30T09:25:34.527Z","updated_at":"2021-09-30T09:25:34.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":1660,"name":"Labome, Princeton, NJ, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2265","type":"fairsharing_records","attributes":{"created_at":"2016-03-15T12:52:35.000Z","updated_at":"2023-12-15T10:32:44.586Z","metadata":{"doi":"10.25504/FAIRsharing.wx5r6f","name":"ClinVar","status":"ready","contacts":[{"contact_email":"clinvar@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/clinvar/","citations":[],"identifier":2265,"description":"ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. ClinVar thus facilitates access to and communication about the relationships asserted between human variation and observed health status, and the history of that interpretation. ClinVar processes submissions reporting variants found in patient samples, assertions made regarding their clinical significance, information about the submitter, and other supporting data. The alleles described in submissions are mapped to reference sequences, and reported according to the HGVS standard. ClinVar then presents the data for interactive users as well as those wishing to use ClinVar in daily workflows and other local applications. ClinVar works in collaboration with interested organizations to meet the needs of the medical genetics community as efficiently and effectively as possible.","abbreviation":"ClinVar","data_curation":{"type":"none"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/clinvar/docs/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/clinvar/docs/faq_submitters/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/clinvar/docs/help/","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/clinvar/advanced/","name":"Advanced Search"},{"url":"http://www.ncbi.nlm.nih.gov/variation/view/","name":"Variation Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013331","name":"re3data:r3d100013331","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006169","name":"SciCrunch:RRID:SCR_006169","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/clinvar/docs/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000739","bsg-d000739"],"name":"FAIRsharing record for: ClinVar","abbreviation":"ClinVar","url":"https://fairsharing.org/10.25504/FAIRsharing.wx5r6f","doi":"10.25504/FAIRsharing.wx5r6f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. ClinVar thus facilitates access to and communication about the relationships asserted between human variation and observed health status, and the history of that interpretation. ClinVar processes submissions reporting variants found in patient samples, assertions made regarding their clinical significance, information about the submitter, and other supporting data. The alleles described in submissions are mapped to reference sequences, and reported according to the HGVS standard. ClinVar then presents the data for interactive users as well as those wishing to use ClinVar in daily workflows and other local applications. ClinVar works in collaboration with interested organizations to meet the needs of the medical genetics community as efficiently and effectively as possible.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12742},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19992}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Clinical Studies","Biomedical Science","Preclinical Studies"],"domains":["Genetic polymorphism","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1302,"pubmed_id":24234437,"title":"ClinVar: public archive of relationships among sequence variation and human phenotype.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1113","authors":"Landrum MJ,Lee JM,Riley GR,Jang W,Rubinstein WS,Church DM,Maglott DR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1113","created_at":"2021-09-30T08:24:45.398Z","updated_at":"2021-09-30T11:29:05.661Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":1835,"relation":"undefined"}],"grants":[{"id":2173,"fairsharing_record_id":2265,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:34.567Z","updated_at":"2021-09-30T09:25:34.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2257","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T18:40:21.000Z","updated_at":"2023-12-15T10:30:44.514Z","metadata":{"doi":"10.25504/FAIRsharing.httzv2","name":"Movebank Data Repository","status":"ready","contacts":[{"contact_name":"Sarah Davidson","contact_email":"sdavidson@ab.mpg.de","contact_orcid":"0000-0002-2766-9201"}],"homepage":"https://www.datarepository.movebank.org/","citations":[],"identifier":2257,"description":"This data repository allows users to publish animal tracking and animal-borne sensor datasets that have been uploaded to Movebank (https://www.movebank.org). Published datasets have gone through a submission and review process, and are associated with a peer-reviewed journal article or other published report. All animal tracking data in this repository are available to the public.","abbreviation":"MDR","data_curation":{"url":"https://datarepository.movebank.org/help/submission-guidelines","type":"manual"},"support_links":[{"url":"support@movebank.org","name":"General Contact","type":"Support email"},{"url":"https://www.movebank.org/cms/movebank-content/manual","name":"User Manual","type":"Help documentation"},{"url":"https://www.movebank.org/node/15294","name":"About","type":"Help documentation"},{"url":"https://www.movebank.org/cms/movebank-content/manual#part_2:_data_management_with_movebank","name":"Submission Documentation","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010469","name":"re3data:r3d100010469","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://datarepository.movebank.org/help/submission-guidelines","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000731","bsg-d000731"],"name":"FAIRsharing record for: Movebank Data Repository","abbreviation":"MDR","url":"https://fairsharing.org/10.25504/FAIRsharing.httzv2","doi":"10.25504/FAIRsharing.httzv2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This data repository allows users to publish animal tracking and animal-borne sensor datasets that have been uploaded to Movebank (https://www.movebank.org). Published datasets have gone through a submission and review process, and are associated with a peer-reviewed journal article or other published report. All animal tracking data in this repository are available to the public.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12983}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Zoology","Behavioural Biology","Ecology","Life Science","Biology"],"domains":["Centrally registered identifier","Animal tracking"],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":1515,"pubmed_id":26578793,"title":"Fat, weather, and date affect migratory songbirds' departure decisions, routes, and time it takes to cross the Gulf of Mexico.","year":2015,"url":"http://doi.org/10.1073/pnas.1503381112","authors":"Deppe JL,Ward MP,Bolus RT,Diehl RH,Celis-Murillo A,Zenzal TJ Jr,Moore FR,Benson TJ,Smolinsky JA,Schofield LN,Enstrom DA,Paxton EH,Bohrer G,Beveroth TA,Raim A,Obringer RL,Delaney D,Cochran WW","journal":"Proc Natl Acad Sci U S A","doi":"10.1073/pnas.1503381112","created_at":"2021-09-30T08:25:09.562Z","updated_at":"2021-09-30T08:25:09.562Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":985,"relation":"undefined"}],"grants":[{"id":2144,"fairsharing_record_id":2257,"organisation_id":158,"relation":"funds","created_at":"2021-09-30T09:25:33.598Z","updated_at":"2021-09-30T09:25:33.598Z","grant_id":null,"is_lead":false,"saved_state":{"id":158,"name":"Baden-Württemberg Ministry for Science, Research and Art","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2146,"fairsharing_record_id":2257,"organisation_id":1992,"relation":"funds","created_at":"2021-09-30T09:25:33.673Z","updated_at":"2021-09-30T09:32:12.278Z","grant_id":1515,"is_lead":false,"saved_state":{"id":1992,"name":"National Geographic Society, Washington DC, USA","grant":"8971-11","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7990,"fairsharing_record_id":2257,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:16.406Z","updated_at":"2021-09-30T09:30:16.443Z","grant_id":631,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1147022","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8124,"fairsharing_record_id":2257,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:05.014Z","updated_at":"2021-09-30T09:31:05.070Z","grant_id":1008,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1147096","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2142,"fairsharing_record_id":2257,"organisation_id":1792,"relation":"maintains","created_at":"2021-09-30T09:25:33.527Z","updated_at":"2021-09-30T09:25:33.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":1792,"name":"Max Planck Institute of Animal Behavior","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2143,"fairsharing_record_id":2257,"organisation_id":3074,"relation":"maintains","created_at":"2021-09-30T09:25:33.566Z","updated_at":"2021-09-30T09:25:33.566Z","grant_id":null,"is_lead":true,"saved_state":{"id":3074,"name":"University of Konstanz Communication, Information, Media Centre","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2145,"fairsharing_record_id":2257,"organisation_id":994,"relation":"funds","created_at":"2021-09-30T09:25:33.636Z","updated_at":"2021-09-30T09:25:33.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":994,"name":"FAIRsFAIR (European Union’s Horizon 2020 Project)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2147,"fairsharing_record_id":2257,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:33.710Z","updated_at":"2021-09-30T09:25:33.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2148,"fairsharing_record_id":2257,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:33.739Z","updated_at":"2021-09-30T09:29:05.659Z","grant_id":90,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1145952","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2258","type":"fairsharing_records","attributes":{"created_at":"2016-01-05T19:57:37.000Z","updated_at":"2024-06-24T09:38:03.824Z","metadata":{"doi":"10.25504/FAIRsharing.9nns5e","name":"RegenBase","status":"deprecated","contacts":[{"contact_name":"Vance Lemmon","contact_email":"VLemmon@med.miami.edu","contact_orcid":"0000-0003-3550-7576"}],"homepage":"https://regenbase.org/","citations":[],"identifier":2258,"description":"RegenBase is a research project that applies informatics tools and methods to organize and interrogate experimental data generated by spinal cord injury (SCI) research, with the ultimate goal of translating SCI experimental findings in model organisms into human therapies. \n","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://regenbase.org/team--contact.html","name":"General Contact Form and Emails","type":"Contact form"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2024-06-24","deprecation_reason":"While the homepage is available, browsing and searching of data is non-functional (no values are returned). However, the maintainers are working on the issue and we will mark this resource as Ready once it is back up and running. Please let us know if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Only data from people within the research project can be submitted"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000732","bsg-d000732"],"name":"FAIRsharing record for: RegenBase","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9nns5e","doi":"10.25504/FAIRsharing.9nns5e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RegenBase is a research project that applies informatics tools and methods to organize and interrogate experimental data generated by spinal cord injury (SCI) research, with the ultimate goal of translating SCI experimental findings in model organisms into human therapies. \n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Medicine","Neurobiology","Biomedical Science","Translational Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics","Semantic","Spinal Cord","Spinal Cord Injury"],"countries":["United States"],"publications":[{"id":848,"pubmed_id":27055827,"title":"RegenBase: a knowledge base of spinal cord injury biology for translational research.","year":2016,"url":"http://doi.org/10.1093/database/baw040","authors":"Callahan A, Abeyruwan SW, Al-Ali H, Sakurai K, Ferguson AR, Popovich PG, Shah NH, Visser U, Bixby JL, Lemmon VP.","journal":"Database (Oxford)","doi":"10.1093/database/baw040","created_at":"2021-09-30T08:23:53.545Z","updated_at":"2021-09-30T08:23:53.545Z"}],"licence_links":[{"licence_name":"RegenBase Terms","licence_id":1074,"licence_url":"https://regenbase.org/terms-of-use.html","link_id":3340,"relation":"applies_to_content"}],"grants":[{"id":2150,"fairsharing_record_id":2258,"organisation_id":3093,"relation":"maintains","created_at":"2021-09-30T09:25:33.794Z","updated_at":"2023-09-21T13:37:53.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":3093,"name":"University of Miami School of Medicine, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2149,"fairsharing_record_id":2258,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:25:33.763Z","updated_at":"2021-09-30T09:25:33.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2152,"fairsharing_record_id":2258,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:33.876Z","updated_at":"2021-09-30T09:30:12.279Z","grant_id":597,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"HD057632","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2151,"fairsharing_record_id":2258,"organisation_id":3093,"relation":"funds","created_at":"2021-09-30T09:25:33.832Z","updated_at":"2021-09-30T09:31:01.955Z","grant_id":986,"is_lead":false,"saved_state":{"id":3093,"name":"University of Miami School of Medicine, USA","grant":"5R01NS080145-04","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2153,"fairsharing_record_id":2258,"organisation_id":2023,"relation":"funds","created_at":"2021-09-30T09:25:33.919Z","updated_at":"2021-09-30T09:29:21.436Z","grant_id":210,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","grant":"NS080145","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2154,"fairsharing_record_id":2258,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:33.957Z","updated_at":"2021-09-30T09:25:33.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10879,"fairsharing_record_id":2258,"organisation_id":1825,"relation":"maintains","created_at":"2023-09-21T13:37:53.481Z","updated_at":"2023-09-21T13:37:53.481Z","grant_id":null,"is_lead":true,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdkVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1eaab8a8d64380b47cf4e7225da663e6ba6bea24/1424801361.png?disposition=inline","exhaustive_licences":true}},{"id":"2269","type":"fairsharing_records","attributes":{"created_at":"2016-03-30T01:25:31.000Z","updated_at":"2022-07-20T11:35:26.587Z","metadata":{"doi":"10.25504/FAIRsharing.rbba3x","name":"Genetic Epidemiology Simulation Database","status":"deprecated","contacts":[{"contact_name":"Ren-Hua Chung","contact_email":"rchung@nhri.org.tw","contact_orcid":"0000-0002-9835-6333"}],"homepage":"http://gesdb.nhri.org.tw/","identifier":2269,"description":"GESDB is a platform for sharing simulation data and discussion of simulation techniques for human genetic studies. The database contains simulation scripts, simulated data, and documentations from published manuscripts. The forum provides a platform for Q\u0026A for the simulated data and exchanging simulation ideas. GESDB aims to promote transparency and efficiency in simulation studies for human genetic studies.","abbreviation":"GESDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://gesdb.nhri.org.tw/f","type":"Forum"},{"url":"http://gesdb.nhri.org.tw/user/list","type":"Mailing list"}],"year_creation":2015,"data_versioning":"not found","associated_tools":[{"url":"http://seqsimla.sourceforge.net","name":"SeqSIMLA 2"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000743","bsg-d000743"],"name":"FAIRsharing record for: Genetic Epidemiology Simulation Database","abbreviation":"GESDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rbba3x","doi":"10.25504/FAIRsharing.rbba3x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GESDB is a platform for sharing simulation data and discussion of simulation techniques for human genetic studies. The database contains simulation scripts, simulated data, and documentations from published manuscripts. The forum provides a platform for Q\u0026A for the simulated data and exchanging simulation ideas. GESDB aims to promote transparency and efficiency in simulation studies for human genetic studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12743}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Statistics","Life Science","Epidemiology"],"domains":["Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":330,"pubmed_id":27242038,"title":"GESDB: a platform of simulation resources for genetic epidemiology studies.","year":2016,"url":"http://doi.org/10.1093/database/baw082","authors":"Yao PJ, Chung RH","journal":"Database (Oxford)","doi":"10.1093/database/baw082","created_at":"2021-09-30T08:22:55.407Z","updated_at":"2021-09-30T08:22:55.407Z"}],"licence_links":[],"grants":[{"id":2190,"fairsharing_record_id":2269,"organisation_id":1996,"relation":"funds","created_at":"2021-09-30T09:25:35.107Z","updated_at":"2021-09-30T09:25:35.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":1996,"name":"National Health Research Institutes (NIHR), Zhunan, Taiwan","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2262","type":"fairsharing_records","attributes":{"created_at":"2016-02-18T13:28:40.000Z","updated_at":"2023-12-15T10:31:49.579Z","metadata":{"doi":"10.25504/FAIRsharing.nnvcr9","name":"FAIRDOMHub","status":"ready","contacts":[{"contact_name":"FAIRDOM support","contact_email":"support@fair-dom.org"}],"homepage":"https://fairdomhub.org/","citations":[],"identifier":2262,"description":"The FAIRDOMHub is a publicly available repository build using the SEEK software, which enables collaborations within the scientific community. FAIRDOM will establish a support and service network for European Systems Biology. It will serve projects in standardizing, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable. FAIRDOM is an initiative to develop a community, and establish an internationally sustained Data and Model Management service to the European Systems Biology community. FAIRDOM is a joint action of ERA-Net EraSysAPP and European Research Infrastructure ISBE.","abbreviation":"FAIRDOMHub","data_curation":{"type":"none"},"support_links":[{"url":"support@fair-dom.org","type":"Support email"},{"url":"http://docs.seek4science.org/help/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://biostar.fair-dom.org/","type":"Forum"},{"url":"http://docs.seek4science.org/help/","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"http://docs.seek4science.org/","name":"SEEK 1.10.1"},{"url":"http://www.rightfield.org.uk/","name":"RightField 0.25"},{"url":"http://fair-dom.org/platform/openbis/","name":"openBIS 16.05"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011928","name":"re3data:r3d100011928","portal":"re3data"}],"data_access_condition":{"url":"https://seek4science.org/faq","type":"controlled","notes":"Access controlled availability of data"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000736","bsg-d000736"],"name":"FAIRsharing record for: FAIRDOMHub","abbreviation":"FAIRDOMHub","url":"https://fairsharing.org/10.25504/FAIRsharing.nnvcr9","doi":"10.25504/FAIRsharing.nnvcr9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIRDOMHub is a publicly available repository build using the SEEK software, which enables collaborations within the scientific community. FAIRDOM will establish a support and service network for European Systems Biology. It will serve projects in standardizing, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable. FAIRDOM is an initiative to develop a community, and establish an internationally sustained Data and Model Management service to the European Systems Biology community. FAIRDOM is a joint action of ERA-Net EraSysAPP and European Research Infrastructure ISBE.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11365},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12251},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12740},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16722}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Molecular biology","Bioinformatics","Data Management","Proteomics","Biotechnology","Life Science","Metabolomics","Transcriptomics","Microbiology","Systems Biology"],"domains":["FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","Switzerland","United Kingdom"],"publications":[{"id":1234,"pubmed_id":26978244,"title":"The FAIR Guiding Principles for scientific data management and stewardship.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.18","authors":"Wilkinson MD,Dumontier M,Aalbersberg IJ,Appleton G,Axton M,Baak A,Blomberg N,Boiten JW,da Silva Santos LB,Bourne PE,Bouwman J,Brookes AJ,Clark T,Crosas M,Dillo I,Dumon O,Edmunds S,Evelo CT,Finkers R,Gonzalez-Beltran A,Gray AJ,Groth P,Goble C,Grethe JS,Heringa J,'t Hoen PA,Hooft R,Kuhn T,Kok R,Kok J,Lusher SJ,Martone ME,Mons A,Packer AL,Persson B,Rocca-Serra P,Roos M,van Schaik R,Sansone SA,Schultes E,Sengstag T,Slater T,Strawn G,Swertz MA,Thompson M,van der Lei J,van Mulligen E,Velterop J,Waagmeester A,Wittenburg P,Wolstencroft K,Zhao J,Mons B","journal":"Sci Data","doi":"10.1038/sdata.2016.18","created_at":"2021-09-30T08:24:37.674Z","updated_at":"2021-09-30T08:24:37.674Z"},{"id":1962,"pubmed_id":26160520,"title":"SEEK: a systems biology data and model management platform.","year":2015,"url":"http://doi.org/10.1186/s12918-015-0174-y","authors":"Wolstencroft K,Owen S,Krebs O,Nguyen Q,Stanford NJ,Golebiewski M,Weidemann A,Bittkowski M,An L,Shockley D,Snoep JL,Mueller W,Goble C","journal":"BMC Syst Biol","doi":"10.1186/s12918-015-0174-y","created_at":"2021-09-30T08:26:00.793Z","updated_at":"2021-09-30T08:26:00.793Z"},{"id":1979,"pubmed_id":26508761,"title":"openBIS ELN-LIMS: an open-source database for academic laboratories.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv606","authors":"Barillari C,Ottoz DS,Fuentes-Serna JM,Ramakrishnan C,Rinn B,Rudolf F","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv606","created_at":"2021-09-30T08:26:02.682Z","updated_at":"2021-09-30T08:26:02.682Z"},{"id":2591,"pubmed_id":27899646,"title":"FAIRDOMHub: a repository and collaboration environment for sharing systems biology research.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1032","authors":"Wolstencroft K,Krebs O,Snoep JL,Stanford NJ,Bacall F,Golebiewski M,Kuzyakiv R,Nguyen Q,Owen S,Soiland-Reyes S,Straszewski J,van Niekerk DD,Williams AR,Malmstrom L,Rinn B,Muller W,Goble C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1032","created_at":"2021-09-30T08:27:17.926Z","updated_at":"2021-09-30T11:29:40.210Z"},{"id":2592,"pubmed_id":21943917,"title":"The SEEK: a platform for sharing data and models in systems biology.","year":2011,"url":"http://doi.org/10.1016/B978-0-12-385118-5.00029-3","authors":"Wolstencroft K,Owen S,du Preez F,Krebs O,Mueller W,Goble C,Snoep JL","journal":"Methods Enzymol","doi":"10.1016/B978-0-12-385118-5.00029-3","created_at":"2021-09-30T08:27:18.070Z","updated_at":"2021-09-30T08:27:18.070Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":647,"relation":"undefined"}],"grants":[{"id":2162,"fairsharing_record_id":2262,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:34.257Z","updated_at":"2021-09-30T09:25:34.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2165,"fairsharing_record_id":2262,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:34.339Z","updated_at":"2021-09-30T09:31:11.817Z","grant_id":1058,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M013189/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10020,"fairsharing_record_id":2262,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.990Z","updated_at":"2022-10-13T09:43:38.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":2163,"fairsharing_record_id":2262,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:25:34.289Z","updated_at":"2021-09-30T09:25:34.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2164,"fairsharing_record_id":2262,"organisation_id":1231,"relation":"maintains","created_at":"2021-09-30T09:25:34.313Z","updated_at":"2021-09-30T09:25:34.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1231,"name":"Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9372,"fairsharing_record_id":2262,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.935Z","updated_at":"2022-04-11T12:07:33.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZE09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--90c553cd6b3d1a6721d8d9e6b691dd5b178dda13/hub.png?disposition=inline","exhaustive_licences":false}},{"id":"2349","type":"fairsharing_records","attributes":{"created_at":"2016-10-18T11:54:44.000Z","updated_at":"2024-03-27T22:29:10.027Z","metadata":{"doi":"10.25504/FAIRsharing.dk451a","name":"MassBank Europe","status":"ready","contacts":[{"contact_name":"Tobias Schulze","contact_email":"tobias.schulze@ufz.de"}],"homepage":"https://massbank.eu/MassBank/","citations":[],"identifier":2349,"description":"MassBank is an open source mass spectral library for the identification of small chemical molecules of metabolomics, exposomics and environmental relevance. The vast majority of MassBank contents now features high-resolution mass spectrometry data, although all kinds of mass spectral data are accepted. ","abbreviation":"MassBank","data_curation":{"type":"not found"},"support_links":[{"url":"massbank@massbank.eu","name":"General contact","type":"Support email"},{"url":"http://massbank.jp/manuals/MassBankUserManual_en.pdf","name":"MassBank Users Manual","type":"Help documentation"},{"url":"https://github.com/MassBank/MassBank-web/blob/master/Documentation/MassBankRecordFormat.md","name":"Record Format","type":"Github"},{"url":"https://github.com/MassBank","name":"MassBank community on GitHub","type":"Github"},{"url":"https://zenodo.org/communities/massbankeu/?page=1\u0026size=20","name":"MassBank community on zenodo","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"https://metabolomics-usi.ucsd.edu/","name":"Metabolomics Spectrum Identifier Resolver Release 6.8"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011839","name":"re3data:r3d100011839","portal":"re3data"}],"data_access_condition":{"url":"https://massbank.eu/MassBank/About","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://massbank.github.io/MassBank-documentation/contributor_documentation.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000827","bsg-d000827"],"name":"FAIRsharing record for: MassBank Europe","abbreviation":"MassBank","url":"https://fairsharing.org/10.25504/FAIRsharing.dk451a","doi":"10.25504/FAIRsharing.dk451a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MassBank is an open source mass spectral library for the identification of small chemical molecules of metabolomics, exposomics and environmental relevance. The vast majority of MassBank contents now features high-resolution mass spectrometry data, although all kinds of mass spectral data are accepted. ","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11542},{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17777}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry","Life Science","Physics"],"domains":["Mass spectrum"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","European Union"],"publications":[{"id":1704,"pubmed_id":20623627,"title":"MassBank: a public repository for sharing mass spectral data for life sciences.","year":2010,"url":"http://doi.org/10.1002/jms.1777","authors":"Horai H et al.","journal":"J Mass Spectrom","doi":"10.1002/jms.1777","created_at":"2021-09-30T08:25:30.962Z","updated_at":"2021-09-30T08:25:30.962Z"}],"licence_links":[],"grants":[{"id":2331,"fairsharing_record_id":2349,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:25:40.293Z","updated_at":"2021-09-30T09:25:40.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2334,"fairsharing_record_id":2349,"organisation_id":1701,"relation":"funds","created_at":"2021-09-30T09:25:40.372Z","updated_at":"2021-09-30T09:25:40.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":1701,"name":"Leibniz Institute of Plant Biochemistry, Halle, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2330,"fairsharing_record_id":2349,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:25:40.260Z","updated_at":"2021-09-30T09:25:40.260Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2333,"fairsharing_record_id":2349,"organisation_id":2178,"relation":"maintains","created_at":"2021-09-30T09:25:40.343Z","updated_at":"2021-09-30T09:25:40.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":2178,"name":"NORMAN network","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":11525,"fairsharing_record_id":2349,"organisation_id":1378,"relation":"funds","created_at":"2024-03-21T13:58:01.587Z","updated_at":"2024-03-21T13:58:01.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":1378,"name":"Institute for Bioinformatics Research and Development, Japan Science and Technology Agency","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9339,"fairsharing_record_id":2349,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.528Z","updated_at":"2022-04-11T12:07:31.547Z","grant_id":1756,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031L0107","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--81efbd13c46e704e94fbe97fb612796d4f2963bd/Screenshot%20from%202024-03-27%2021-44-45.png?disposition=inline","exhaustive_licences":false}},{"id":"2350","type":"fairsharing_records","attributes":{"created_at":"2016-10-21T15:24:30.000Z","updated_at":"2023-12-15T10:33:09.313Z","metadata":{"doi":"10.25504/FAIRsharing.jhjnp0","name":"Database of local DNA conformers","status":"ready","contacts":[{"contact_name":"Daniel Svozil","contact_email":"daniel.svozil@vscht.cz","contact_orcid":"0000-0003-2577-5163"}],"homepage":"http://ich.vscht.cz/projects/dolce/viewHome","citations":[],"identifier":2350,"description":"Dolce is a database of DNA structure motifs based on an automatic classification method consisting of the combination of supervised and unsupervised approaches. This workflow has been applied to analyze 816 X-ray and 664 NMR DNA structures released till February 2013. Dinucleotides with unassigned conformations are either classified into one of already known 24 classes or into one of six new classes among so far unclassifiable data, which were newly identified and annotated among X-ray structures by authors of this tool.","abbreviation":"Dolce","data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"no","data_access_condition":{"url":"https://smlouvy.gov.cz/smlouva/soubor/8815411/Dodatek1SML5200001015.pdf","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000828","bsg-d000828"],"name":"FAIRsharing record for: Database of local DNA conformers","abbreviation":"Dolce","url":"https://fairsharing.org/10.25504/FAIRsharing.jhjnp0","doi":"10.25504/FAIRsharing.jhjnp0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dolce is a database of DNA structure motifs based on an automatic classification method consisting of the combination of supervised and unsupervised approaches. This workflow has been applied to analyze 816 X-ray and 664 NMR DNA structures released till February 2013. Dinucleotides with unassigned conformations are either classified into one of already known 24 classes or into one of six new classes among so far unclassifiable data, which were newly identified and annotated among X-ray structures by authors of this tool.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1667,"pubmed_id":23800225,"title":"Automatic workflow for the classification of local DNA conformations.","year":2013,"url":"http://doi.org/10.1186/1471-2105-14-205","authors":"Cech P,Kukal J,Cerny J,Schneider B,Svozil D","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-14-205","created_at":"2021-09-30T08:25:26.737Z","updated_at":"2021-09-30T08:25:26.737Z"}],"licence_links":[],"grants":[{"id":8062,"fairsharing_record_id":2350,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:30:43.204Z","updated_at":"2021-09-30T09:30:43.262Z","grant_id":838,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"MSM 6046137306","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2335,"fairsharing_record_id":2350,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:25:40.412Z","updated_at":"2021-09-30T09:30:43.040Z","grant_id":837,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"MSM 6046137302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2336,"fairsharing_record_id":2350,"organisation_id":633,"relation":"funds","created_at":"2021-09-30T09:25:40.444Z","updated_at":"2021-09-30T09:32:20.680Z","grant_id":1576,"is_lead":false,"saved_state":{"id":633,"name":"Czech Science Foundation (GACR), Czech Republic","grant":"P305/12/1801","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2351","type":"fairsharing_records","attributes":{"created_at":"2016-10-21T17:32:37.000Z","updated_at":"2023-12-15T10:33:04.686Z","metadata":{"doi":"10.25504/FAIRsharing.pcs58g","name":"GrainGenes, a Database for Triticeae and Avena","status":"ready","contacts":[{"contact_name":"GrainGenes Feedback","contact_email":"curator@wheat.pw.usda.gov"}],"homepage":"https://wheat.pw.usda.gov/GG3/","citations":[{"doi":"10.1093/database/baac034","pubmed_id":null,"publication_id":3888}],"identifier":2351,"description":"The GrainGenes website hosts a wealth of information for researchers working on Triticeae species, oat and their wild relatives. The website hosts a database encompassing information such as genetic maps, genes, alleles, genetic markers, phenotypic data, quantitative trait loci studies, experimental protocols and publications. The database can be queried by text searches, browsing, Boolean queries, MySQL commands, or by using pre-made queries created by the curators. GrainGenes is not solely a database, but serves as an informative site for researchers and a means to communicate project aims, outcomes and a forum for discussion.","abbreviation":"GrainGenes","data_curation":{"url":"https://wheat.pw.usda.gov/GG3/about","type":"manual/automated"},"support_links":[{"url":"http://wheat.pw.usda.gov/GG3/feedback/","type":"Help documentation"},{"url":"http://graingenes.org/grains.welcome.html","type":"Mailing list"},{"url":"http://wheat.pw.usda.gov/GG3/db-info","type":"Help documentation"}],"year_creation":1992,"data_versioning":"yes","associated_tools":[{"url":"http://probes.pw.usda.gov/GSP/","name":"GSP: Genome Specific Primers"},{"url":"http://wheat.pw.usda.gov/GG3/blast","name":"BLAST 2.2.23"},{"url":"http://wheat.pw.usda.gov/cmap/","name":"CMap 1.01"},{"url":"http://wheat.pw.usda.gov/GG3/genome_browser","name":"JBrowse Genome Browser 1.69"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012363","name":"re3data:r3d100012363","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007696","name":"SciCrunch:RRID:SCR_007696","portal":"SciCrunch"}],"data_access_condition":{"url":"https://graingenes.org/GG3/graingenes-data-downloads","type":"open"},"resource_sustainability":{"url":"https://wheat.pw.usda.gov/GG3/about","name":"Funded by the U.S. Department of Agriculture-Agricultural Research Service to ensure long-term data sustainability."},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://wheat.pw.usda.gov/GG3/submit_to_graingenes","type":"open","notes":"The Small Grains Community is invited to submit data and images."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000829","bsg-d000829"],"name":"FAIRsharing record for: GrainGenes, a Database for Triticeae and Avena","abbreviation":"GrainGenes","url":"https://fairsharing.org/10.25504/FAIRsharing.pcs58g","doi":"10.25504/FAIRsharing.pcs58g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GrainGenes website hosts a wealth of information for researchers working on Triticeae species, oat and their wild relatives. The website hosts a database encompassing information such as genetic maps, genes, alleles, genetic markers, phenotypic data, quantitative trait loci studies, experimental protocols and publications. The database can be queried by text searches, browsing, Boolean queries, MySQL commands, or by using pre-made queries created by the curators. GrainGenes is not solely a database, but serves as an informative site for researchers and a means to communicate project aims, outcomes and a forum for discussion.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11622},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11873}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science","Phenomics"],"domains":["Genetic map","Physical map","Genome map","Deoxyribonucleic acid","Publication","Genetic polymorphism","Protocol","Quantitative trait loci","Allele"],"taxonomies":["Aegilops tauschii","Avena","Hordeum","Hordeum vulgare","Secale","Triticeae","Triticum","Triticum aestivum","Triticum monococcum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":790,"pubmed_id":null,"title":"GrainGenes: a Genomic Database for Triticeae and Avena","year":2007,"url":"http://doi.org/10.1007/978-1-59745-535-0_14","authors":"Helen O'Sullivan","journal":"Plant Bioinformatics","doi":"10.1007/978-1-59745-535-0_14","created_at":"2021-09-30T08:23:47.070Z","updated_at":"2021-09-30T08:23:47.070Z"},{"id":1769,"pubmed_id":null,"title":"GrainGenes 2.0. An Improved Resource for the Small-Grains Community","year":2005,"url":"https://academic.oup.com/plphys/article/139/2/643/6113422","authors":"Victoria Carollo, David E. Matthews, Gerard R. Lazo, Thomas K. Blake, David D. Hummel, Nancy Lui, David L. Hane, and Olin D. Anderson","journal":"Plant Physiology","doi":"10.1104/pp.105.064485","created_at":"2021-09-30T08:25:38.494Z","updated_at":"2021-09-30T08:25:38.494Z"},{"id":3888,"pubmed_id":null,"title":"GrainGenes: a data-rich repository for small grains genetics and genomics","year":2022,"url":"http://dx.doi.org/10.1093/database/baac034","authors":"Yao, Eric; Blake, Victoria C; Cooper, Laurel; Wight, Charlene P; Michel, Steve; Cagirici, H Busra; Lazo, Gerard R; Birkett, Clay L; Waring, David J; Jannink, Jean-Luc; Holmes, Ian; Waters, Amanda J; Eickholt, David P; Sen, Taner Z; ","journal":"Database","doi":"10.1093/database/baac034","created_at":"2023-06-05T09:03:00.246Z","updated_at":"2023-06-05T09:03:00.246Z"}],"licence_links":[],"grants":[{"id":2337,"fairsharing_record_id":2351,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:40.482Z","updated_at":"2021-09-30T09:25:40.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2352","type":"fairsharing_records","attributes":{"created_at":"2016-10-25T09:58:43.000Z","updated_at":"2024-03-20T13:00:20.023Z","metadata":{"doi":"10.25504/FAIRsharing.sv2rm8","name":"TissueNet ","status":"ready","contacts":[{"contact_name":"Esti Yeger-L","contact_email":"estiyl@bgu.ac.il","contact_orcid":"0000-0002-8279-7898"}],"homepage":"https://netbio.bgu.ac.il/tissuenet3/","citations":[{"doi":"10.1016/j.jmb.2022.167532","pubmed_id":35662455,"publication_id":3827}],"identifier":2352,"description":"Knowledge of the molecular interactions of human proteins within tissues is important for identifying their tissue-specific roles and for shedding light on tissue phenotypes. However, many protein-protein interactions (PPIs) have no tissue-contexts. The TissueNet database bridges this gap by associating experimentally-identified PPIs with human tissues that were shown to express both pair-mates. Users can select a protein and a tissue, and obtain a network view of the query protein and its tissue-associated PPIs. TissueNet v.2 is an updated version of the TissueNet database previously featured in NAR. It includes over 40 human tissues profiled via RNA-sequencing or protein-based assays. Users can select their preferred expression data source and interactively set the expression threshold for determining tissue-association. The output of TissueNet v.2 underlines qualitative and quantitative features of query proteins and their PPIs. The tissue-specificity view highlights tissue-specific and globally-expressed proteins, and the quantitative view highlights proteins that were differentially expressed in the selected tissue relative to all other tissues. Together, these views allow users to quickly assess the unique versus global functionality of query proteins. Thus, TissueNet v.2 offers an extensive, quantitative and user-friendly interface to study the roles of human proteins across tissues.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://netbio.bgu.ac.il/tissuenet3/#FAQ","name":"Database FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://netbio.bgu.ac.il/labwebsite/the-tissuenet-v-3-database-tutorial/","name":"Tutorial","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000831","bsg-d000831"],"name":"FAIRsharing record for: TissueNet ","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.sv2rm8","doi":"10.25504/FAIRsharing.sv2rm8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Knowledge of the molecular interactions of human proteins within tissues is important for identifying their tissue-specific roles and for shedding light on tissue phenotypes. However, many protein-protein interactions (PPIs) have no tissue-contexts. The TissueNet database bridges this gap by associating experimentally-identified PPIs with human tissues that were shown to express both pair-mates. Users can select a protein and a tissue, and obtain a network view of the query protein and its tissue-associated PPIs. TissueNet v.2 is an updated version of the TissueNet database previously featured in NAR. It includes over 40 human tissues profiled via RNA-sequencing or protein-based assays. Users can select their preferred expression data source and interactively set the expression threshold for determining tissue-association. The output of TissueNet v.2 underlines qualitative and quantitative features of query proteins and their PPIs. The tissue-specificity view highlights tissue-specific and globally-expressed proteins, and the quantitative view highlights proteins that were differentially expressed in the selected tissue relative to all other tissues. Together, these views allow users to quickly assess the unique versus global functionality of query proteins. Thus, TissueNet v.2 offers an extensive, quantitative and user-friendly interface to study the roles of human proteins across tissues.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Protein interaction","Protein expression","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":1713,"pubmed_id":23193266,"title":"The TissueNet database of human tissue protein-protein interactions.","year":2012,"url":"http://doi.org/10.1093/nar/gks1198","authors":"Ruth Barshir, Omer Basha, Amir Eluk, Ilan Y. Smoly, Alexander Lan and Esti Yeger-Lotem","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1198","created_at":"2021-09-30T08:25:31.939Z","updated_at":"2021-09-30T08:25:31.939Z"},{"id":3827,"pubmed_id":35662455,"title":"The TissueNet v.3 Database: Protein-protein Interactions in Adult and Embryonic Human Tissue contexts.","year":2022,"url":"https://doi.org/10.1016/j.jmb.2022.167532","authors":"Ziv M, Gruber G, Sharon M, Vinogradov E, Yeger-Lotem E","journal":"Journal of molecular biology","doi":"10.1016/j.jmb.2022.167532","created_at":"2023-03-24T15:09:59.205Z","updated_at":"2023-03-24T15:09:59.205Z"},{"id":3828,"pubmed_id":null,"title":"The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues","year":2016,"url":"http://dx.doi.org/10.1093/nar/gkw1088","authors":"Basha, Omer; Barshir, Ruth; Sharon, Moran; Lerman, Eugene; Kirson, Binyamin F.; Hekselman, Idan; Yeger-Lotem, Esti; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1088","created_at":"2023-03-24T15:10:29.034Z","updated_at":"2023-03-24T15:10:29.034Z"}],"licence_links":[],"grants":[{"id":2338,"fairsharing_record_id":2352,"organisation_id":200,"relation":"maintains","created_at":"2021-09-30T09:25:40.524Z","updated_at":"2024-03-20T12:54:47.161Z","grant_id":null,"is_lead":true,"saved_state":{"id":200,"name":"Ben-Gurion University of the Negev, Israel","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdndEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7cca2064157b73f8c78f734477b2e1d2e074f8a1/Screenshot%20from%202024-03-20%2012-53-50.png?disposition=inline","exhaustive_licences":false}},{"id":"2366","type":"fairsharing_records","attributes":{"created_at":"2016-11-23T00:12:38.000Z","updated_at":"2023-12-15T10:32:24.986Z","metadata":{"doi":"10.25504/FAIRsharing.pj6a0t","name":"Hepatitis C Virus Ires Variation Database","status":"ready","contacts":[{"contact_email":"info@hcvivdb.org"}],"homepage":"http://www.hcvivdb.org/","identifier":2366,"description":"HCVIVdb is a database of published variations observed within the internal ribosome entry site (IRES) of the hepatitis C Virus.","abbreviation":"HCVIVdb","data_curation":{"type":"not found"},"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"http://www.hcvivdb.org/search.php","name":"Search"},{"url":"http://www.hcvivdb.org/browse.php","name":"Browse"},{"url":"http://www.hcvivdb.org/submit.php","name":"Submit Data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.hcvivdb.org/submit.php","type":"open","notes":"The submit entry feature is currently disabled. It will be enabled on full release and publication of the database."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000845","bsg-d000845"],"name":"FAIRsharing record for: Hepatitis C Virus Ires Variation Database","abbreviation":"HCVIVdb","url":"https://fairsharing.org/10.25504/FAIRsharing.pj6a0t","doi":"10.25504/FAIRsharing.pj6a0t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HCVIVdb is a database of published variations observed within the internal ribosome entry site (IRES) of the hepatitis C Virus.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Computational biological predictions","Promoter","Internal ribosome entry site"],"taxonomies":["Hepatitis C virus"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1855,"pubmed_id":27527702,"title":"HCVIVdb: The hepatitis-C IRES variation database","year":2016,"url":"http://doi.org/10.1186/s12866-016-0804-6","authors":"Floden E.W., Khavaja A., Vopálenský V., Pospíšek M.","journal":"BMC Microbiology","doi":"10.1186/s12866-016-0804-6","created_at":"2021-09-30T08:25:48.398Z","updated_at":"2021-09-30T08:25:48.398Z"}],"licence_links":[],"grants":[{"id":2373,"fairsharing_record_id":2366,"organisation_id":840,"relation":"funds","created_at":"2021-09-30T09:25:41.778Z","updated_at":"2021-09-30T09:25:41.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2372,"fairsharing_record_id":2366,"organisation_id":1680,"relation":"maintains","created_at":"2021-09-30T09:25:41.752Z","updated_at":"2021-09-30T09:25:41.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":1680,"name":"Laboratory of RNA Biochemistry, Department of Genetics and Microbiology, Prague, Czech Republic","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2338","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T09:29:53.000Z","updated_at":"2023-06-09T06:55:54.978Z","metadata":{"doi":"10.25504/FAIRsharing.x6nr7d","name":"Tropical Data Hub","status":"deprecated","contacts":[{"contact_name":"Belinda Weaver","contact_email":"b.weaver@qcif.edu.au"}],"homepage":"https://tropicaldatahub.org/","citations":[],"identifier":2338,"description":"The Tropical Data Hub (TDH) is an open portal enabling researchers to submit information relating to the tropics in an open and collaborative way. The TDH complements existing data repositories and will come to be acknowledged as the definitive source of information relating to the tropics, both within Australia and internationally. The information available through within the TDH relates to the physical and natural environment, societies and communities (e.g. linguistic and cultural data), and economies. The use of metadata will ensure that the TDH is readily accessible to governments, researchers and the business sector.","abbreviation":"TDH","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2023-06-08","deprecation_reason":"This resource has been deprecated. However, the TDH provided metadata harvesting to RDA, and that information is still available from the RDA. All DOIs now resolve to landing pages in Research Data JCU, but currently there is no publicly-searchable data portal.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000816","bsg-d000816"],"name":"FAIRsharing record for: Tropical Data Hub","abbreviation":"TDH","url":"https://fairsharing.org/10.25504/FAIRsharing.x6nr7d","doi":"10.25504/FAIRsharing.x6nr7d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Tropical Data Hub (TDH) is an open portal enabling researchers to submit information relating to the tropics in an open and collaborative way. The TDH complements existing data repositories and will come to be acknowledged as the definitive source of information relating to the tropics, both within Australia and internationally. The information available through within the TDH relates to the physical and natural environment, societies and communities (e.g. linguistic and cultural data), and economies. The use of metadata will ensure that the TDH is readily accessible to governments, researchers and the business sector.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11251}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Population Genetics"],"domains":["Tropical","Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":2308,"fairsharing_record_id":2338,"organisation_id":1583,"relation":"maintains","created_at":"2021-09-30T09:25:39.433Z","updated_at":"2021-09-30T09:25:39.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":1583,"name":"James Cook University, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2307,"fairsharing_record_id":2338,"organisation_id":2394,"relation":"funds","created_at":"2021-09-30T09:25:39.410Z","updated_at":"2021-09-30T09:25:39.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":2394,"name":"Queensland Cyber Infrastructure Foundation (QCIF), Australia","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2309,"fairsharing_record_id":2338,"organisation_id":142,"relation":"maintains","created_at":"2021-09-30T09:25:39.458Z","updated_at":"2021-09-30T09:25:39.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":142,"name":"Australian National Data Service (ANDS), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2339","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T09:59:11.000Z","updated_at":"2023-03-14T16:06:30.936Z","metadata":{"doi":"10.25504/FAIRsharing.pt7qd6","name":"Banana21","status":"deprecated","contacts":[{"contact_name":"Contact enquiries","contact_email":"ctcbenquiries@qut.edu.au"}],"homepage":"http://www.banana21.org/","citations":[],"identifier":2339,"description":"The vast majority of the bananas currently grown and consumed were not conventionally bred but are selections made over probably thousands of years from naturally occurring hybrids. Cultivated bananas are very nearly sterile and as a consequence are not propagated from seed but rather through vegetative propagation, primarily suckers as well as more recently micropropagated or tissue cultured bananas. These factors, very old selections, near sterility and vegetative propagation, mean that these bananas have not been genetically improved either for resistance or improved quality and are becoming increasing in affected by serious pests and diseases.","abbreviation":"Banana21","data_curation":{"type":"not found"},"support_links":[{"url":"http://sefapps02.qut.edu.au/helppage/helppage.php","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is now a project homepage, and as such is not within our remit.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000817","bsg-d000817"],"name":"FAIRsharing record for: Banana21","abbreviation":"Banana21","url":"https://fairsharing.org/10.25504/FAIRsharing.pt7qd6","doi":"10.25504/FAIRsharing.pt7qd6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The vast majority of the bananas currently grown and consumed were not conventionally bred but are selections made over probably thousands of years from naturally occurring hybrids. Cultivated bananas are very nearly sterile and as a consequence are not propagated from seed but rather through vegetative propagation, primarily suckers as well as more recently micropropagated or tissue cultured bananas. These factors, very old selections, near sterility and vegetative propagation, mean that these bananas have not been genetically improved either for resistance or improved quality and are becoming increasing in affected by serious pests and diseases.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11252}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Agriculture"],"domains":["Food"],"taxonomies":["Musa","Musa acuminata","Musa balbisiana"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1653,"pubmed_id":23555698,"title":"De novo transcriptome sequence assembly and analysis of RNA silencing genes of Nicotiana benthamiana.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0059534","authors":"Nakasugi K,Crowhurst RN,Bally J,Wood CC,Hellens RP,Waterhouse PM","journal":"PLoS One","doi":"10.1371/journal.pone.0059534","created_at":"2021-09-30T08:25:25.195Z","updated_at":"2021-09-30T08:25:25.195Z"}],"licence_links":[{"licence_name":"Queensland University of Technology Copyright Statement","licence_id":695,"licence_url":"https://www.qut.edu.au/additional/copyright","link_id":1363,"relation":"undefined"}],"grants":[{"id":2310,"fairsharing_record_id":2339,"organisation_id":2396,"relation":"maintains","created_at":"2021-09-30T09:25:39.489Z","updated_at":"2021-09-30T09:25:39.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":2396,"name":"Queensland University of Technology (QUT), Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2340","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T10:06:22.000Z","updated_at":"2023-06-23T10:35:07.733Z","metadata":{"doi":"10.25504/FAIRsharing.d1cs3q","name":"BenthGenome","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"ctcbenquiries@qut.edu.au"}],"homepage":"http://benthgenome.qut.edu.au/","identifier":2340,"description":"Nicotiana benthamiana originates from the remote regions of northern Australia. It is used extensively in laboratories around the world for many types of research including metabolic engineering, plant-microbe interactions, RNAi, vaccine production and functional genomics. This site aims to provide easy access to our latest genome and transcriptome assemblies of both laboratory and wild strains of Nicotiana benthamiana.","abbreviation":"BenthGenome","data_curation":{"type":"not found"},"support_links":[{"url":"http://sefapps02.qut.edu.au/helppage/helppage.php","name":"Help Pages","type":"Help documentation"},{"url":"http://sefapps02.qut.edu.au/benWeb/subpages/strategy.php","name":"Information Pages","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"http://sefapps02.qut.edu.au/blast/blast_link.cgi","name":"BLAST Version 5"},{"url":"http://sefapps02.qut.edu.au/blast/blast_link2.cgi","name":"BLAST Version 6"},{"url":"http://sefapps02.qut.edu.au/atlas/tREX6.php","name":"Gene Expression Atlas 6"},{"url":"http://sefapps02.qut.edu.au/babelfish/babelfish_gI.php","name":"Benth Babelfish"},{"url":"http://benthgenome.qut.edu.au/tools/toolpage.php","name":"Benth Toolkit"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"controlled","notes":"Restricted to people from QUT and associates"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000818","bsg-d000818"],"name":"FAIRsharing record for: BenthGenome","abbreviation":"BenthGenome","url":"https://fairsharing.org/10.25504/FAIRsharing.d1cs3q","doi":"10.25504/FAIRsharing.d1cs3q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Nicotiana benthamiana originates from the remote regions of northern Australia. It is used extensively in laboratories around the world for many types of research including metabolic engineering, plant-microbe interactions, RNAi, vaccine production and functional genomics. This site aims to provide easy access to our latest genome and transcriptome assemblies of both laboratory and wild strains of Nicotiana benthamiana.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11253},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12760}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genomics","Life Science","Transcriptomics"],"domains":["RNA interference","Vaccine"],"taxonomies":["Nicotiana benthamiana"],"user_defined_tags":["Plant-microbe interactions"],"countries":["Australia","New Zealand"],"publications":[{"id":1653,"pubmed_id":23555698,"title":"De novo transcriptome sequence assembly and analysis of RNA silencing genes of Nicotiana benthamiana.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0059534","authors":"Nakasugi K,Crowhurst RN,Bally J,Wood CC,Hellens RP,Waterhouse PM","journal":"PLoS One","doi":"10.1371/journal.pone.0059534","created_at":"2021-09-30T08:25:25.195Z","updated_at":"2021-09-30T08:25:25.195Z"},{"id":1963,"pubmed_id":28231340,"title":"The widely used Nicotiana benthamiana 16c line has an unusual T-DNA integration pattern including a transposon sequence.","year":2017,"url":"http://doi.org/10.1371/journal.pone.0171311","authors":"Philips JG,Naim F,Lorenc MT,Dudley KJ,Hellens RP,Waterhouse PM","journal":"PLoS One","doi":"10.1371/journal.pone.0171311","created_at":"2021-09-30T08:26:00.907Z","updated_at":"2021-09-30T08:26:00.907Z"}],"licence_links":[{"licence_name":"Copyright Queensland University of Technology","licence_id":149,"licence_url":"http://www.banana21.org/about.html","link_id":1365,"relation":"undefined"}],"grants":[{"id":2311,"fairsharing_record_id":2340,"organisation_id":2396,"relation":"maintains","created_at":"2021-09-30T09:25:39.531Z","updated_at":"2021-09-30T09:25:39.531Z","grant_id":null,"is_lead":false,"saved_state":{"id":2396,"name":"Queensland University of Technology (QUT), Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2312,"fairsharing_record_id":2340,"organisation_id":2751,"relation":"maintains","created_at":"2021-09-30T09:25:39.572Z","updated_at":"2021-09-30T09:25:39.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":2751,"name":"The Centre for Tropical Crops and Biocommodities, Queensland University of Technology (QUT)","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2341","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T11:36:30.000Z","updated_at":"2023-12-15T10:31:23.587Z","metadata":{"doi":"10.25504/FAIRsharing.8yqqm4","name":"WheatGenome.info","status":"ready","contacts":[{"contact_name":"Dave Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://www.wheatgenome.info/wheat_genome_databases.php","identifier":2341,"description":"An integrated database and portal for wheat genome information.","abbreviation":"WheatGenome.info","data_curation":{"type":"manual/automated"},"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000819","bsg-d000819"],"name":"FAIRsharing record for: WheatGenome.info","abbreviation":"WheatGenome.info","url":"https://fairsharing.org/10.25504/FAIRsharing.8yqqm4","doi":"10.25504/FAIRsharing.8yqqm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated database and portal for wheat genome information.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11254}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Triticum"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1646,"pubmed_id":22009731,"title":"WheatGenome.info: an integrated database and portal for wheat genome information.","year":2011,"url":"http://doi.org/10.1093/pcp/pcr141","authors":"Lai K,Berkman PJ,Lorenc MT,Duran C,Smits L,Manoli S,Stiller J,Edwards D","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcr141","created_at":"2021-09-30T08:25:24.379Z","updated_at":"2021-09-30T08:25:24.379Z"}],"licence_links":[],"grants":[{"id":2315,"fairsharing_record_id":2341,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:25:39.676Z","updated_at":"2021-09-30T09:25:39.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2313,"fairsharing_record_id":2341,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:25:39.611Z","updated_at":"2021-09-30T09:25:39.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2314,"fairsharing_record_id":2341,"organisation_id":828,"relation":"maintains","created_at":"2021-09-30T09:25:39.645Z","updated_at":"2021-09-30T09:25:39.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":828,"name":"Edwards Group, University of Western Australia, Perth, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2342","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T14:44:06.000Z","updated_at":"2023-07-11T07:35:51.580Z","metadata":{"doi":"10.25504/FAIRsharing.p7btsb","name":"CropPAL","status":"deprecated","contacts":[{"contact_name":"Dave Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://crop-pal.org/","citations":[],"identifier":2342,"description":"The compendium of crop Proteins with Annotated Locations (cropPAL) collates more than 550 data sets from previously published fluorescent tagging or mass spectrometry studies and eight pre-computed subcellular predictions for barley, wheat, rice and maize proteomes. The data collection including metadata for proteins and studies can be accessed through the search portal. The reciprocal blast and EnsemblPLants homology tree allows the search for location data across the four crop species as well as compares it to Arabidopsis data from SUBA.\n","abbreviation":"CropPAL","data_curation":{"url":"https://croppal.org/aboutcropPAL2.html","type":"manual/automated"},"support_links":[{"url":"http://crop-pal.org/Tutorialv1.2.pdf","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011637","name":"re3data:r3d100011637","portal":"re3data"}],"deprecation_date":"2023-07-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000820","bsg-d000820"],"name":"FAIRsharing record for: CropPAL","abbreviation":"CropPAL","url":"https://fairsharing.org/10.25504/FAIRsharing.p7btsb","doi":"10.25504/FAIRsharing.p7btsb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The compendium of crop Proteins with Annotated Locations (cropPAL) collates more than 550 data sets from previously published fluorescent tagging or mass spectrometry studies and eight pre-computed subcellular predictions for barley, wheat, rice and maize proteomes. The data collection including metadata for proteins and studies can be accessed through the search portal. The reciprocal blast and EnsemblPLants homology tree allows the search for location data across the four crop species as well as compares it to Arabidopsis data from SUBA.\n","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11255}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Agriculture"],"domains":["Mass spectrum","Cellular localization","Protein"],"taxonomies":["Hordeum vulgare","Oryza sativa","Triticum aestivum","Zea mays"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1658,"pubmed_id":26556651,"title":"Finding the Subcellular Location of Barley, Wheat, Rice and Maize Proteins: The Compendium of Crop Proteins with Annotated Locations (cropPAL).","year":2015,"url":"http://doi.org/10.1093/pcp/pcv170","authors":"Hooper CM,Castleden IR,Aryamanesh N,Jacoby RP,Millar AH","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcv170","created_at":"2021-09-30T08:25:25.711Z","updated_at":"2021-09-30T08:25:25.711Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":371,"relation":"undefined"}],"grants":[{"id":2318,"fairsharing_record_id":2342,"organisation_id":828,"relation":"maintains","created_at":"2021-09-30T09:25:39.773Z","updated_at":"2021-09-30T09:25:39.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":828,"name":"Edwards Group, University of Western Australia, Perth, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2316,"fairsharing_record_id":2342,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:39.701Z","updated_at":"2021-09-30T09:25:39.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2317,"fairsharing_record_id":2342,"organisation_id":106,"relation":"funds","created_at":"2021-09-30T09:25:39.730Z","updated_at":"2021-09-30T09:25:39.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":106,"name":"ARC Centres of Excellence","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2319,"fairsharing_record_id":2342,"organisation_id":142,"relation":"maintains","created_at":"2021-09-30T09:25:39.810Z","updated_at":"2021-09-30T09:25:39.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":142,"name":"Australian National Data Service (ANDS), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2343","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T15:03:45.000Z","updated_at":"2023-12-15T10:32:42.029Z","metadata":{"doi":"10.25504/FAIRsharing.kvee9e","name":"Chickpea Portal","status":"ready","contacts":[{"contact_name":"Dave Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://www.cicer.info/databases.php","identifier":2343,"description":"This resource contains genome and gene sequences, features and isolationed chromosome alignments, while functional annotation can be searched in GBrowse. Chickpea forms a critical component of the Australian and Indian farming system, offering offer a high value alternative to cereals, an important disease break, opportunities for grass weed control and respite from high nitrogen application.","abbreviation":"Chickpea Portal","data_curation":{"url":"http://www.cicer.info/databases.php","type":"automated","notes":"The genome is functionnally annotated."},"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"http://www.cicer.info/cgi-bin/gb2/gbrowse/","name":"Chickpea GBrowse"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000821","bsg-d000821"],"name":"FAIRsharing record for: Chickpea Portal","abbreviation":"Chickpea Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.kvee9e","doi":"10.25504/FAIRsharing.kvee9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource contains genome and gene sequences, features and isolationed chromosome alignments, while functional annotation can be searched in GBrowse. Chickpea forms a critical component of the Australian and Indian farming system, offering offer a high value alternative to cereals, an important disease break, opportunities for grass weed control and respite from high nitrogen application.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11256}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics"],"domains":["DNA sequence data","Annotation","Genome"],"taxonomies":["Cicer arietinum"],"user_defined_tags":[],"countries":["Australia","India"],"publications":[],"licence_links":[],"grants":[{"id":2321,"fairsharing_record_id":2343,"organisation_id":136,"relation":"funds","created_at":"2021-09-30T09:25:39.890Z","updated_at":"2021-09-30T09:25:39.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":136,"name":"Australia-India Strategic Research Fund (AISRF), Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2320,"fairsharing_record_id":2343,"organisation_id":828,"relation":"maintains","created_at":"2021-09-30T09:25:39.848Z","updated_at":"2021-09-30T09:25:39.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":828,"name":"Edwards Group, University of Western Australia, Perth, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2322,"fairsharing_record_id":2343,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:25:39.931Z","updated_at":"2021-09-30T09:25:39.931Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2344","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T15:13:46.000Z","updated_at":"2023-12-15T10:31:35.157Z","metadata":{"doi":"10.25504/FAIRsharing.mzk12n","name":"Brassica Genome","status":"ready","contacts":[{"contact_name":"Dave Andrews","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://www.brassicagenome.net/details.php","identifier":2344,"description":"This site hosts Brassica genome databases.","abbreviation":"Brassica Genome","data_curation":{"url":"http://www.brassicagenome.net/databases.php","type":"automated","notes":"All genomes are automatically annotated."},"year_creation":2010,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000822","bsg-d000822"],"name":"FAIRsharing record for: Brassica Genome","abbreviation":"Brassica Genome","url":"https://fairsharing.org/10.25504/FAIRsharing.mzk12n","doi":"10.25504/FAIRsharing.mzk12n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This site hosts Brassica genome databases.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11257}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Brassica"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1659,"pubmed_id":21873998,"title":"The genome of the mesopolyploid crop species Brassica rapa.","year":2011,"url":"http://doi.org/10.1038/ng.919","authors":"Wang X,Wang H,Wang J,Sun R,Wu J,Liu S,Bai Y,Mun JH,Bancroft I,Cheng F,Huang S,Li X,Hua W,Wang J,Wang X,Freeling M,Pires JC,Paterson AH,Chalhoub B,Wang B,Hayward A,Sharpe AG,Park BS,Weisshaar B,Liu B,Li B,Liu B,Tong C,Song C,Duran C,Peng C,Geng C,Koh C,Lin C,Edwards D,Mu D,Shen D,Soumpourou E,Li F,Fraser F,Conant G,Lassalle G,King GJ,Bonnema G,Tang H,Wang H,Belcram H,Zhou H,Hirakawa H,Abe H,Guo H,Wang H,Jin H,Parkin IA,Batley J,Kim JS,Just J,Li J,Xu J,Deng J,Kim JA,Li J,Yu J,Meng J,Wang J,Min J,Poulain J,Wang J,Hatakeyama K,Wu K,Wang L,Fang L,Trick M,Links MG,Zhao M,Jin M,Ramchiary N,Drou N,Berkman PJ,Cai Q,Huang Q,Li R,Tabata S,Cheng S,Zhang S,Zhang S,Huang S,Sato S,Sun S,Kwon SJ,Choi SR,Lee TH,Fan W,Zhao X,Tan X,Xu X,Wang Y,Qiu Y,Yin Y,Li Y,Du Y,Liao Y,Lim Y,Narusaka Y,Wang Y,Wang Z,Li Z,Wang Z,Xiong Z,Zhang Z","journal":"Nat Genet","doi":"10.1038/ng.919","created_at":"2021-09-30T08:25:25.829Z","updated_at":"2021-09-30T08:25:25.829Z"}],"licence_links":[],"grants":[{"id":2324,"fairsharing_record_id":2344,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:25:40.011Z","updated_at":"2021-09-30T09:25:40.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2323,"fairsharing_record_id":2344,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:25:39.973Z","updated_at":"2021-09-30T09:25:39.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2354","type":"fairsharing_records","attributes":{"created_at":"2016-10-28T18:46:21.000Z","updated_at":"2023-12-15T10:32:37.346Z","metadata":{"doi":"10.25504/FAIRsharing.9dbmwg","name":"Comprehensive Antibiotic Resistance Database","status":"ready","contacts":[{"contact_name":"Andrew McArthur","contact_email":"card@mcmaster.ca","contact_orcid":"0000-0002-1142-3063"}],"homepage":"http://arpcard.mcmaster.ca","identifier":2354,"description":"A bioinformatic database of antimicrobial resistance genes, their products and associated phenotypes.","abbreviation":"CARD","data_curation":{"url":"https://card.mcmaster.ca/","type":"manual","notes":"The CARD is curated by a group of experts in the area of antimicrobial resistance (AMR) and bioinformatics, including consultation with outside experts where needed."},"support_links":[{"url":"https://card.mcmaster.ca/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/arpcard/amr_curation","name":"GitHub curation issues","type":"Github"},{"url":"https://github.com/arpcard/rgi","name":"GitHub software issues","type":"Github"},{"url":"https://github.com/arpcard","name":"GitHub other issues","type":"Github"},{"url":"https://mailman.mcmaster.ca/mailman/listinfo/card-l","type":"Mailing list"},{"url":"https://twitter.com/arpcard","type":"Twitter"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"https://card.mcmaster.ca/analyze/rgi","name":"Resistance Gene Identifier 5.1.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012727","name":"re3data:r3d100012727","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://github.com/arpcard/amr_curation","type":"open","notes":"Only published AMR genes and mutations, with subsequent submission of sequence to GenBank, with clear evidence of elevated MICs can be submitted to CARD."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000833","bsg-d000833"],"name":"FAIRsharing record for: Comprehensive Antibiotic Resistance Database","abbreviation":"CARD","url":"https://fairsharing.org/10.25504/FAIRsharing.9dbmwg","doi":"10.25504/FAIRsharing.9dbmwg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A bioinformatic database of antimicrobial resistance genes, their products and associated phenotypes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Antimicrobial","Phenotype","Amino acid sequence"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1745,"pubmed_id":23650175,"title":"The comprehensive antibiotic resistance database.","year":2013,"url":"http://doi.org/10.1128/AAC.00419-13","authors":"McArthur AG,Waglechner N,Nizam F,Yan A,Azad MA,Baylay AJ,Bhullar K,Canova MJ,De Pascale G,Ejim L,Kalan L,King AM,Koteva K,Morar M,Mulvey MR,O'Brien JS,Pawlowski AC,Piddock LJ,Spanogiannopoulos P,Sutherland AD,Tang I,Taylor PL,Thaker M,Wang W,Yan M,Yu T,Wright GD","journal":"Antimicrob Agents Chemother","doi":"10.1128/AAC.00419-13","created_at":"2021-09-30T08:25:35.830Z","updated_at":"2021-09-30T08:25:35.830Z"}],"licence_links":[{"licence_name":"CARD Copyright and Disclaimer","licence_id":102,"licence_url":"https://card.mcmaster.ca/about","link_id":51,"relation":"undefined"}],"grants":[{"id":2341,"fairsharing_record_id":2354,"organisation_id":2247,"relation":"funds","created_at":"2021-09-30T09:25:40.640Z","updated_at":"2021-09-30T09:25:40.640Z","grant_id":null,"is_lead":false,"saved_state":{"id":2247,"name":"Ontario Research Fund","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2344,"fairsharing_record_id":2354,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:25:40.765Z","updated_at":"2021-09-30T09:25:40.765Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2340,"fairsharing_record_id":2354,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:40.603Z","updated_at":"2021-09-30T09:25:40.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2342,"fairsharing_record_id":2354,"organisation_id":2101,"relation":"funds","created_at":"2021-09-30T09:25:40.682Z","updated_at":"2021-09-30T09:25:40.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2343,"fairsharing_record_id":2354,"organisation_id":667,"relation":"maintains","created_at":"2021-09-30T09:25:40.724Z","updated_at":"2021-09-30T09:25:40.724Z","grant_id":null,"is_lead":false,"saved_state":{"id":667,"name":"Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2345,"fairsharing_record_id":2354,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:40.803Z","updated_at":"2021-09-30T09:25:40.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2355","type":"fairsharing_records","attributes":{"created_at":"2016-10-28T22:16:03.000Z","updated_at":"2023-12-15T10:32:25.709Z","metadata":{"doi":"10.25504/FAIRsharing.yxkdpg","name":"Proteome-pI : proteome isoelectric point database","status":"ready","contacts":[{"contact_name":"Lukasz P. Kozlowski","contact_email":"lukasz.kozlowski.lpk@gmail.com","contact_orcid":"0000-0001-8187-1980"}],"homepage":"http://isoelectricpointdb.org/","identifier":2355,"description":"Proteome-pI is an online database containing information about predicted isoelectric points for 5,029 proteomes (21 million of sequences) calculated using 18 methods. The isoelectric point, the pH at which a particular molecule carries no net electrical charge, is an important parameter for many analytical biochemistry and proteomics techniques, especially for 2D gel electrophoresis (2D-PAGE), capillary isoelectric focusing, liquid chromatography–mass spectrometry and X-ray protein crystallography. The database allows the retrieval of virtual 2D-PAGE plots and the development of customized fractions of proteome based on isoelectric point and molecular weight. Moreover, Proteome-pI facilitates statistical comparisons of the various prediction methods as well as biological investigation of protein isoelectric point space in all kingdoms of life (http://isoelectricpointdb.org/statistics.html). The database includes various statistics and tools for interactive browsing, searching and sorting. It can be searched and browsed by organism name, average isoelectric point, molecular weight or amino acid frequencies. Proteins with extreme pI values are also available. For individual proteomes, users can retrieve proteins of interest given the method, isoelectric point and molecular weight ranges (this particular feature can be highly useful to limit potential targets in analysis of 2DPAGE gels or before conducting mass spectrometry). Finally, some general statistics (total number of proteins, amino acids, average sequence length, amino acid and di-amino acid frequencies) and datasets corresponding to major protein databases such as UniProtKB/TrEMBL and the NCBI non-redundant (nr) database have also been precalculated.","abbreviation":"Proteome-pI","data_curation":{"url":"http://isoelectricpointdb.org/about.html","type":"automated"},"support_links":[{"url":"http://isoelectricpointdb.org/about.html","type":"Help documentation"},{"url":"http://isoelectricpointdb.org/statistics.html","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"http://isoelectric.org","name":"IPC - Isoelectric Point Calculator"},{"url":"http://isoelectricpointdb.org/search.html","name":"Search"},{"url":"http://isoelectricpointdb.org/browse.html","name":"Browse"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000834","bsg-d000834"],"name":"FAIRsharing record for: Proteome-pI : proteome isoelectric point database","abbreviation":"Proteome-pI","url":"https://fairsharing.org/10.25504/FAIRsharing.yxkdpg","doi":"10.25504/FAIRsharing.yxkdpg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Proteome-pI is an online database containing information about predicted isoelectric points for 5,029 proteomes (21 million of sequences) calculated using 18 methods. The isoelectric point, the pH at which a particular molecule carries no net electrical charge, is an important parameter for many analytical biochemistry and proteomics techniques, especially for 2D gel electrophoresis (2D-PAGE), capillary isoelectric focusing, liquid chromatography–mass spectrometry and X-ray protein crystallography. The database allows the retrieval of virtual 2D-PAGE plots and the development of customized fractions of proteome based on isoelectric point and molecular weight. Moreover, Proteome-pI facilitates statistical comparisons of the various prediction methods as well as biological investigation of protein isoelectric point space in all kingdoms of life (http://isoelectricpointdb.org/statistics.html). The database includes various statistics and tools for interactive browsing, searching and sorting. It can be searched and browsed by organism name, average isoelectric point, molecular weight or amino acid frequencies. Proteins with extreme pI values are also available. For individual proteomes, users can retrieve proteins of interest given the method, isoelectric point and molecular weight ranges (this particular feature can be highly useful to limit potential targets in analysis of 2DPAGE gels or before conducting mass spectrometry). Finally, some general statistics (total number of proteins, amino acids, average sequence length, amino acid and di-amino acid frequencies) and datasets corresponding to major protein databases such as UniProtKB/TrEMBL and the NCBI non-redundant (nr) database have also been precalculated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["2D PAGE image","Mass spectrum","X-ray diffraction","Proteome","Isoelectric point","Electrophoresis","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Poland"],"publications":[{"id":1748,"pubmed_id":27789699,"title":"Proteome-pI: proteome isoelectric point database.","year":2016,"url":"http://doi.org/10.1093/nar/gkw978","authors":"Kozlowski LP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw978","created_at":"2021-09-30T08:25:36.171Z","updated_at":"2021-09-30T11:29:19.760Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":1236,"relation":"undefined"}],"grants":[{"id":2346,"fairsharing_record_id":2355,"organisation_id":2390,"relation":"maintains","created_at":"2021-09-30T09:25:40.836Z","updated_at":"2021-09-30T09:25:40.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":2390,"name":"Quantitative and Computational Biology Group, Max Planck Institute for Biophysical Chemistry","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2356","type":"fairsharing_records","attributes":{"created_at":"2016-10-31T13:24:21.000Z","updated_at":"2023-12-15T10:31:36.173Z","metadata":{"doi":"10.25504/FAIRsharing.m03n8s","name":"Reflora Virtual Herbarium","status":"ready","contacts":[{"contact_name":"Rafaela Campostrini Forzza","contact_email":"reflora@jbrj.gov.br"}],"homepage":"http://floradobrasil.jbrj.gov.br/reflora/herbarioVirtual","citations":[],"identifier":2356,"description":"Reflora Virtual Herbarium is a virtual herbarium for images of Brazilian plants housed in foreign herbaria. The Reflora Virtual Herbarium is designed to allow taxonomists to perform similar procedures to the ones they are used to do within physical collections. In this site they will access, rather than physical specimens, high quality images that can be consulted, re-determined and typified, amongst other functionalities. ","abbreviation":"REFLORA","data_curation":{"type":"not found"},"support_links":[{"url":"reflora@jbrj.gov.br","type":"Support email"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://ipt.jbrj.gov.br/reflora/","name":"IPT-REFLORA"},{"url":"http://ipt.jbrj.gov.br/jbrj/","name":"IPT-RB collection"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://floradobrasil.jbrj.gov.br/reflora/herbarioVirtual/ConsultaPublicoHVUC/ConsultaPublicoHVUC.do","type":"open","notes":"Submission requests should be sent to the contact email."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000835","bsg-d000835"],"name":"FAIRsharing record for: Reflora Virtual Herbarium","abbreviation":"REFLORA","url":"https://fairsharing.org/10.25504/FAIRsharing.m03n8s","doi":"10.25504/FAIRsharing.m03n8s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reflora Virtual Herbarium is a virtual herbarium for images of Brazilian plants housed in foreign herbaria. The Reflora Virtual Herbarium is designed to allow taxonomists to perform similar procedures to the ones they are used to do within physical collections. In this site they will access, rather than physical specimens, high quality images that can be consulted, re-determined and typified, amongst other functionalities. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Biodiversity"],"domains":["Taxonomic classification","Bioimaging","Biological sample"],"taxonomies":["Algae","Fungi","Plantae"],"user_defined_tags":[],"countries":["Brazil"],"publications":[{"id":1741,"pubmed_id":null,"title":"HERBÁRIO VIRTUAL REFLORA Rafaela","year":2015,"url":"https://www.researchgate.net/project/Virtual-Herbarium-Reflora","authors":"Rafaela Campostrini Forzza, Fabiana Luiza Ranzato Filardi, João Paulo dos Santos Condack, Marco Antônio Palomares Accardo Filho, Paula Leitman, Silvana Helena Nascimento Monteiro, Vitor Faria Monteiro","journal":"Bioscience","doi":null,"created_at":"2021-09-30T08:25:35.329Z","updated_at":"2021-09-30T11:28:33.068Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":374,"relation":"undefined"}],"grants":[{"id":2347,"fairsharing_record_id":2356,"organisation_id":2412,"relation":"maintains","created_at":"2021-09-30T09:25:40.859Z","updated_at":"2021-09-30T09:25:40.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":2412,"name":"REFLORA Programme","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb1VDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d57cc5ac44cfcc4eb9de7ba3081cb0dad4f11e0c/folhaREFLORA.png?disposition=inline","exhaustive_licences":false}},{"id":"2357","type":"fairsharing_records","attributes":{"created_at":"2016-10-31T15:25:25.000Z","updated_at":"2023-12-15T10:31:26.358Z","metadata":{"doi":"10.25504/FAIRsharing.tw6ecm","name":"LinkProt: A database of proteins with topological links","status":"ready","contacts":[{"contact_name":"Aleksandra Jarmolińska","contact_email":"a.jarmolinska@cent.uw.edu.pl","contact_orcid":"0000-0002-1259-3611"}],"homepage":"http://linkprot.cent.uw.edu.pl/","identifier":2357,"description":"LinkProt collects information about protein chains and complexes that form links. LinkProt detects deterministic links (with loops closed by cysteine), and determines likelihood of formation of links in networks of protein chains called MacroLinks. Links are presented graphically in an intuitive way, using tools that involves surfaces of minimal area spanned on closed loops. The database presents extensive information about biological functions of proteins with links and enables users to analyze new structures.","abbreviation":"LinkProt","data_curation":{"type":"not found"},"support_links":[{"url":"http://linkprot.cent.uw.edu.pl/interpreting","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/apply_results","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/tutorial_single","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/tutorial_browse","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/statistics","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/link_detection","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/link_classification","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/about","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000836","bsg-d000836"],"name":"FAIRsharing record for: LinkProt: A database of proteins with topological links","abbreviation":"LinkProt","url":"https://fairsharing.org/10.25504/FAIRsharing.tw6ecm","doi":"10.25504/FAIRsharing.tw6ecm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LinkProt collects information about protein chains and complexes that form links. LinkProt detects deterministic links (with loops closed by cysteine), and determines likelihood of formation of links in networks of protein chains called MacroLinks. Links are presented graphically in an intuitive way, using tools that involves surfaces of minimal area spanned on closed loops. The database presents extensive information about biological functions of proteins with links and enables users to analyze new structures.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12764}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein-containing complex","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Poland"],"publications":[{"id":1737,"pubmed_id":27794552,"title":"LinkProt: a database collecting information about biological links","year":2016,"url":"http://doi.org/10.1093/nar/gkw976","authors":"Pawel Dabrowski-Tumanski; Aleksandra I. Jarmolinska; Wanda Niemyska; Eric J. Rawdon; Kenneth C. Millett; Joanna I. Sulkowska","journal":"Nucleic Acid Research","doi":"10.1093/nar/gkw976","created_at":"2021-09-30T08:25:34.887Z","updated_at":"2021-09-30T08:25:34.887Z"}],"licence_links":[],"grants":[{"id":2348,"fairsharing_record_id":2357,"organisation_id":1467,"relation":"maintains","created_at":"2021-09-30T09:25:40.884Z","updated_at":"2021-09-30T09:25:40.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":1467,"name":"Interdisciplinary Laboratory of Biological Systems Modelling, Center of New Technology (CeNT), Warsaw, Poland","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2361","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T10:23:44.000Z","updated_at":"2023-12-15T10:28:59.338Z","metadata":{"doi":"10.25504/FAIRsharing.p90p8q","name":"Banana Genome Hub","status":"ready","contacts":[],"homepage":"http://banana-genome-hub.southgreen.fr/","citations":[],"identifier":2361,"description":"The Banana Genome Hub is the official portal for the Musaceae genome resources.","abbreviation":"BGH","data_curation":{"type":"not found"},"support_links":[{"url":"http://banana-genome-hub.southgreen.fr/contact","type":"Contact form"},{"url":"http://banana-genome-hub.southgreen.fr/documentation","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"http://banana-genome-hub.southgreen.fr/advanced","name":"Advanced Search"},{"url":"http://banana-genome-hub.southgreen.fr/convert","name":"Pseudomolecule Version Converter"},{"url":"http://banana-genome-hub.southgreen.fr/primer_designer","name":"Primer Designer"},{"url":"http://banana-genome-hub.southgreen.fr/primer_blaster","name":"Primer Blaster"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://banana-genome-hub.southgreen.fr/content/contributions","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000840","bsg-d000840"],"name":"FAIRsharing record for: Banana Genome Hub","abbreviation":"BGH","url":"https://fairsharing.org/10.25504/FAIRsharing.p90p8q","doi":"10.25504/FAIRsharing.p90p8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Genome Hub is the official portal for the Musaceae genome resources.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11499}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Transcriptomics"],"domains":["Gene Ontology enrichment","Genome annotation","Genome"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2123,"pubmed_id":23707967,"title":"The banana genome hub","year":2013,"url":"http://doi.org/10.1093/database/bat035","authors":"Droc G, Larivière D, Guignon V, Yahiaoui N, This D, Garsmeur O, Dereeper A, Hamelin C, Argout X, Dufayard JF, Lengelle J, Baurens FC, Cenci A, Pitollat B, D'Hont A, Ruiz M, Rouard M, Bocs S.","journal":"database","doi":"10.1093/database/bat035","created_at":"2021-09-30T08:26:19.349Z","updated_at":"2021-09-30T08:26:19.349Z"},{"id":3678,"pubmed_id":null,"title":"The Banana Genome Hub: a community database for genomics in the Musaceae","year":2022,"url":"https://doi.org/10.1093/hr/uhac221","authors":"Gaëtan Droc, Guillaume Martin, Valentin Guignon, Marilyne Summo, Guilhem Sempéré, Eloi Durant, Alexandre Soriano, Franc-Christophe Baurens, Alberto Cenci, Catherine Breton, Trushar Shah, Jean-Marc Aury, Xue-Jun Ge, Pat Heslop Harrison, Nabila Yahiaoui, Angélique D’Hont, Mathieu Rouard","journal":"Horticulture Research","doi":"10.1093/hr/uhac221","created_at":"2022-11-07T15:45:15.258Z","updated_at":"2022-11-07T15:45:15.258Z"}],"licence_links":[],"grants":[{"id":2356,"fairsharing_record_id":2361,"organisation_id":2603,"relation":"maintains","created_at":"2021-09-30T09:25:41.183Z","updated_at":"2022-11-07T15:45:42.418Z","grant_id":null,"is_lead":true,"saved_state":{"id":2603,"name":"South Green","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":2357,"fairsharing_record_id":2361,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:25:41.225Z","updated_at":"2022-11-07T15:45:42.459Z","grant_id":null,"is_lead":true,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2355,"fairsharing_record_id":2361,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:25:41.142Z","updated_at":"2022-11-07T15:45:42.432Z","grant_id":null,"is_lead":true,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2362","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T12:11:38.000Z","updated_at":"2023-12-15T10:30:15.760Z","metadata":{"doi":"10.25504/FAIRsharing.6h8d2r","name":"STOREDB","status":"ready","contacts":[{"contact_name":"Dr Paul Schofield","contact_email":"PNS12@cam.ac.uk","contact_orcid":"0000-0002-5111-7263"}],"homepage":"https://www.storedb.org/store_v3/","citations":[],"identifier":2362,"description":"STOREDB provides infrastructure for sharing data and resources in radiation biology and epidemiology. It is a platform for the archiving and sharing of primary data and outputs of all kinds, including epidemiological and experimental data, from research on the effects of radiation. It also provides a directory of bioresources and databases containing information and materials that investigators are willing to share. STORE supports the creation of a radiation research commons.","abbreviation":"STOREDB","data_curation":{"type":"not found"},"support_links":[{"url":"mg287@cam.ac.uk","type":"Support email"},{"url":"https://www.storedb.org/store_v3/help.jsp","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011049","name":"re3data:r3d100011049","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.storedb.org/store_v3/signin.jsp","type":"open","notes":"Registration required with ORCID"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000841","bsg-d000841"],"name":"FAIRsharing record for: STOREDB","abbreviation":"STOREDB","url":"https://fairsharing.org/10.25504/FAIRsharing.6h8d2r","doi":"10.25504/FAIRsharing.6h8d2r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STOREDB provides infrastructure for sharing data and resources in radiation biology and epidemiology. It is a platform for the archiving and sharing of primary data and outputs of all kinds, including epidemiological and experimental data, from research on the effects of radiation. It also provides a directory of bioresources and databases containing information and materials that investigators are willing to share. STORE supports the creation of a radiation research commons.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12765}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Ecology","Life Science","Biomedical Science","Epidemiology","Preclinical Studies"],"domains":["Cancer","Radiation","Radiotherapy","RNA sequencing","Disease","Radiation effects","Data storage"],"taxonomies":["Canis familiaris","Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Genomic rearrangement"],"countries":["Belgium","France","Germany","Italy","Netherlands","Norway","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Individual licenses based on creative commons are annotated to each dataset","licence_id":436,"licence_url":"https://creativecommons.org/","link_id":2299,"relation":"undefined"}],"grants":[{"id":2360,"fairsharing_record_id":2362,"organisation_id":597,"relation":"maintains","created_at":"2021-09-30T09:25:41.352Z","updated_at":"2021-09-30T09:25:41.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":597,"name":"CONCERT-European Joint Programme for the Integration of Radiation Protection Research","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2359,"fairsharing_record_id":2362,"organisation_id":899,"relation":"funds","created_at":"2021-09-30T09:25:41.308Z","updated_at":"2021-09-30T09:31:38.851Z","grant_id":1265,"is_lead":false,"saved_state":{"id":899,"name":"Euratom","grant":"662287","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2358,"fairsharing_record_id":2362,"organisation_id":332,"relation":"maintains","created_at":"2021-09-30T09:25:41.267Z","updated_at":"2021-09-30T09:25:41.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":332,"name":"Bundesamt Fuer Strahlenschutz (BfS), Salzgitter, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2363","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T16:01:47.000Z","updated_at":"2024-03-21T13:58:53.266Z","metadata":{"doi":"10.25504/FAIRsharing.3me82d","name":"DrugCentral","status":"ready","contacts":[{"contact_name":"Tudor Oprea","contact_email":"toprea@salud.unm.edu","contact_orcid":"0000-0002-6195-6976"}],"homepage":"http://drugcentral.org/","identifier":2363,"description":"DrugCentral is online drug information that provides information on active ingredients, chemical entities, pharmaceutical products, drug mode of action, indications, and pharmacologic mode of action. DrugCentral monitors FDA, EMA, and PMDA for new drug approval on regular basis to ensure currency of the resource. This resource was created and is maintained by the Division of Translational Informatics at the University of New Mexico School of Medicine.","abbreviation":"DrugCentral","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000842","bsg-d000842"],"name":"FAIRsharing record for: DrugCentral","abbreviation":"DrugCentral","url":"https://fairsharing.org/10.25504/FAIRsharing.3me82d","doi":"10.25504/FAIRsharing.3me82d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DrugCentral is online drug information that provides information on active ingredients, chemical entities, pharmaceutical products, drug mode of action, indications, and pharmacologic mode of action. DrugCentral monitors FDA, EMA, and PMDA for new drug approval on regular basis to ensure currency of the resource. This resource was created and is maintained by the Division of Translational Informatics at the University of New Mexico School of Medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Repositioning","Drug Development","Pharmacy","Pharmacology","Biomedical Science"],"domains":["Chemical formula","Drug structure","Drug name","Drug combination effect modeling","Adverse Reaction","Target","Approved drug"],"taxonomies":["Bacteria","Homo sapiens","Protozoa","Viruses"],"user_defined_tags":["Bioactivity","Drug Target","Mode of action"],"countries":["United States"],"publications":[{"id":1763,"pubmed_id":27789690,"title":"DrugCentral: online drug compendium.","year":2016,"url":"http://doi.org/10.1093/nar/gkw993","authors":"Ursu O,Holmes J,Knockel J,Bologa CG,Yang JJ,Mathias SL,Nelson SJ,Oprea TI","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw993","created_at":"2021-09-30T08:25:37.810Z","updated_at":"2021-09-30T11:29:20.127Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2086,"relation":"undefined"}],"grants":[{"id":2361,"fairsharing_record_id":2363,"organisation_id":3157,"relation":"maintains","created_at":"2021-09-30T09:25:41.383Z","updated_at":"2021-09-30T09:25:41.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":3157,"name":"UNM School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11554,"fairsharing_record_id":2363,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:52.596Z","updated_at":"2024-03-21T13:58:53.160Z","grant_id":607,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"1U54CA189205-01","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2333","type":"fairsharing_records","attributes":{"created_at":"2016-09-22T22:02:52.000Z","updated_at":"2023-12-15T10:32:08.590Z","metadata":{"doi":"10.25504/FAIRsharing.8zz0xc","name":"denovo-db","status":"ready","contacts":[{"contact_name":"denovo-db","contact_email":"denovo-db@uw.edu"}],"homepage":"http://denovo-db.gs.washington.edu/","identifier":2333,"description":"denovo-db is a collection of germline de novo variants identified in the human genome. de novo variants are those present in children but not their parents.","abbreviation":"denovo-db","data_curation":{"url":"https://denovo-db.gs.washington.edu/denovo-db/Usage.jsp","type":"manual/automated","notes":"Data is manually extracted from literature, befor going though annotation pipelines."},"year_creation":2016,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000809","bsg-d000809"],"name":"FAIRsharing record for: denovo-db","abbreviation":"denovo-db","url":"https://fairsharing.org/10.25504/FAIRsharing.8zz0xc","doi":"10.25504/FAIRsharing.8zz0xc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: denovo-db is a collection of germline de novo variants identified in the human genome. de novo variants are those present in children but not their parents.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12757}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2336","type":"fairsharing_records","attributes":{"created_at":"2016-09-29T09:03:20.000Z","updated_at":"2023-06-23T14:56:02.468Z","metadata":{"doi":"10.25504/FAIRsharing.c9psgb","name":"ValidatorDB","status":"ready","contacts":[{"contact_name":"David Sehnal","contact_email":"david.sehnal@gmail.com","contact_orcid":"0000-0002-0682-3089"}],"homepage":"http://webchem.ncbr.muni.cz/Platform/ValidatorDB","citations":[],"identifier":2336,"description":"ValidatorDB is a collection of validation results for the entire Protein Data Bank. Annotation (3-letter code) of HET residues larger than 6 heavy atoms is inspected, i.e. if the residue has the same topology and stereochemistry as the model ligand or residue stored in the wwCCD. Validation reports for the entire database can be inspected as well as for the arbitrary set of PDB entries or PDB annotations (3-letter residue code). Results are available in graphical form via Web UI and can be downloaded in the form of CSV files for further inspection.","abbreviation":"ValidatorDB","data_curation":{"url":"http://webchem.ncbr.muni.cz/Wiki/ValidatorDB:Principles","type":"automated"},"support_links":[{"url":"http://webchem.ncbr.muni.cz/Wiki/ValidatorDB:UserManual","name":"ValidatorDB:UserManual","type":"Help documentation"},{"url":"https://www.slideshare.net/lukypravda/validatordb-first-time-user-guide-37728902","name":"ValidatorDB: First Time User Guide","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://webchem.ncbr.muni.cz/Platform/MotiveValidator","name":"MotiveValidator 1"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000813","bsg-d000813"],"name":"FAIRsharing record for: ValidatorDB","abbreviation":"ValidatorDB","url":"https://fairsharing.org/10.25504/FAIRsharing.c9psgb","doi":"10.25504/FAIRsharing.c9psgb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ValidatorDB is a collection of validation results for the entire Protein Data Bank. Annotation (3-letter code) of HET residues larger than 6 heavy atoms is inspected, i.e. if the residue has the same topology and stereochemistry as the model ligand or residue stored in the wwCCD. Validation reports for the entire database can be inspected as well as for the arbitrary set of PDB entries or PDB annotations (3-letter residue code). Results are available in graphical form via Web UI and can be downloaded in the form of CSV files for further inspection.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11388},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12176},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12759}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Ligand","Small molecule","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1620,"pubmed_id":25392418,"title":"ValidatorDB: database of up-to-date validation results for ligands and non-standard residues from the Protein Data Bank.","year":2014,"url":"http://doi.org/10.1093/nar/gku1118","authors":"Sehnal D,Svobodova Varekova R,Pravda L,Ionescu CM,Geidl S,Horsky V,Jaiswal D,Wimmerova M,Koca J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1118","created_at":"2021-09-30T08:25:21.517Z","updated_at":"2021-09-30T11:29:16.420Z"}],"licence_links":[{"licence_name":"ValidatorDB Terms of Use","licence_id":837,"licence_url":"http://webchem.ncbr.muni.cz/Platform/Home/TermsOfUse","link_id":1523,"relation":"undefined"}],"grants":[{"id":2301,"fairsharing_record_id":2336,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:25:39.185Z","updated_at":"2021-09-30T09:29:42.703Z","grant_id":370,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","grant":"“Capacities” specific program [286154]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2303,"fairsharing_record_id":2336,"organisation_id":445,"relation":"maintains","created_at":"2021-09-30T09:25:39.256Z","updated_at":"2021-09-30T09:25:39.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":445,"name":"Central European Institute of Technology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2304,"fairsharing_record_id":2336,"organisation_id":840,"relation":"funds","created_at":"2021-09-30T09:25:39.298Z","updated_at":"2021-09-30T09:25:39.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2300,"fairsharing_record_id":2336,"organisation_id":950,"relation":"funds","created_at":"2021-09-30T09:25:39.148Z","updated_at":"2021-09-30T09:30:38.130Z","grant_id":799,"is_lead":false,"saved_state":{"id":950,"name":"European Regional Development Fund","grant":"CEITEC - Central European Institute of Technology [CZ.1.05/1.1.00/02.0068]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2302,"fairsharing_record_id":2336,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:25:39.223Z","updated_at":"2021-09-30T09:31:42.253Z","grant_id":1290,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LH13055","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8046,"fairsharing_record_id":2336,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:30:37.762Z","updated_at":"2021-09-30T09:30:37.826Z","grant_id":797,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","grant":"“Employment of Newly Graduated Doctors of Science for Scientific Excellence” [CZ.1.07/2.3.00/30.0009]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8187,"fairsharing_record_id":2336,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:31:24.031Z","updated_at":"2021-09-30T09:31:24.085Z","grant_id":1152,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","grant":"INBIOR [CZ.1.07/2.3.00/20.0042]","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2345","type":"fairsharing_records","attributes":{"created_at":"2016-10-12T12:11:34.000Z","updated_at":"2023-06-23T15:20:18.947Z","metadata":{"doi":"10.25504/FAIRsharing.b6asc0","name":"General Practice Notebook","status":"ready","contacts":[{"contact_email":"support@gpnotebook.co.uk"}],"homepage":"http://www.gpnotebook.co.uk","identifier":2345,"description":"GPnotebook is a concise synopsis of the entire field of clinical medicine focused on the needs of the General Practitioner with material organised systematically to ensure rapid retrieval of information. The content of GPnotebook is based on clinical practice in the United Kingdom and provides a clinical reference for general practitioners and medical students; it may also be a useful reference resource for other health professionals. As well as being a clinical reference, GPnotebook also aims to be a tool for clinical education, clinical governance and continuing professional development.","abbreviation":"GP Notebook","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.gpnotebook.co.uk/contactUs.cfm","type":"Contact form"},{"url":"http://www.gpnotebook.co.uk/gpn_newstestimonials/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.gpnotebook.co.uk/help.cfm","type":"Help documentation"},{"url":"http://www.gpnotebook.co.uk/TnC.cfm","type":"Help documentation"},{"url":"http://www.gpnotebook.co.uk/aboutus.cfm","type":"Help documentation"},{"url":"http://www.gpnotebook.co.uk/app_compare.cfm","type":"Help documentation"}],"year_creation":1992,"data_versioning":"no","associated_tools":[{"url":"http://www.gpnotebook.co.uk/web_app_info.cfm","name":"Mobile Application (non-iPhone)"},{"url":"https://itunes.apple.com/gb/app/gpnotebook/id492253032","name":"iPhone App 1.1.0"},{"url":"https://itunes.apple.com/gb/app/quickmedicine/id844158986","name":"QUICKmedicine iPhone App 1.0.2"}],"data_access_condition":{"url":"https://gpnotebook.helpscoutdocs.com/article/35-why-do-i-need-to-sign-in","type":"controlled","notes":"GPnotebook is intended for healthcare professionals only."},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000823","bsg-d000823"],"name":"FAIRsharing record for: General Practice Notebook","abbreviation":"GP Notebook","url":"https://fairsharing.org/10.25504/FAIRsharing.b6asc0","doi":"10.25504/FAIRsharing.b6asc0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GPnotebook is a concise synopsis of the entire field of clinical medicine focused on the needs of the General Practitioner with material organised systematically to ensure rapid retrieval of information. The content of GPnotebook is based on clinical practice in the United Kingdom and provides a clinical reference for general practitioners and medical students; it may also be a useful reference resource for other health professionals. As well as being a clinical reference, GPnotebook also aims to be a tool for clinical education, clinical governance and continuing professional development.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12761}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1660,"pubmed_id":24567602,"title":"20 years of GPnotebook: from a medical student project to a national resource.","year":2014,"url":"http://doi.org/10.3399/bjgp14X677202","authors":"McMorran J,Crowther D,McMorran S","journal":"Br J Gen Pract","doi":"10.3399/bjgp14X677202","created_at":"2021-09-30T08:25:25.954Z","updated_at":"2021-09-30T08:25:25.954Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2346","type":"fairsharing_records","attributes":{"created_at":"2016-10-12T12:42:44.000Z","updated_at":"2023-06-23T15:29:53.510Z","metadata":{"doi":"10.25504/FAIRsharing.c886cd","name":"Immune Epitope Database","status":"ready","homepage":"http://www.iedb.org/","identifier":2346,"description":"The IEDB provides the scientific community with a central repository of freely accessible epitope data and epitope prediction and analysis resources. The IEDB is a publicly accessible, comprehensive immune epitope database containing peptidic linear and conformational epitopes and non peptidic epitopes such as lipids, metals, drugs, carbohydrates, etc, with published or submitted antibody, T cell, MHC binding or MHC ligand elution experimental assays. Epitope data related to infectious diseases, allergy, autoimmunity and transplant tested in humans, non human primates, and any other species can be found in the IEDB.","abbreviation":"IEDB","data_curation":{"url":"https://curationwiki.iedb.org/wiki/index.php/IEDB_Inclusion_Criteria","type":"manual/automated"},"support_links":[{"url":"http://iedb.zendesk.com/anonymous_requests/new","type":"Contact form"},{"url":"http://iedb.zendesk.com/forums","type":"Forum"},{"url":"http://help.iedb.org/home","type":"Help documentation"},{"url":"http://www.iedb.org/acknowledgements_v3.php","type":"Help documentation"},{"url":"http://www.iedb.org/terms_of_use_v3.php","type":"Help documentation"},{"url":"http://curationwiki.iedb.org/wiki/index.php/Data_Field_Descriptions","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://tools.iedb.org/mhci/","name":"MHC-I Binding Predictions"},{"url":"http://tools.iedb.org/mhcii/","name":"MHC-II Binding Predictions"},{"url":"http://tools.iedb.org/main/tcell/","name":"T Cell Epitope Prediction Tools"},{"url":"http://tools.iedb.org/immunogenicity/","name":"Class I Immunogenicity"},{"url":"http://tools.iedb.org/bcell/","name":"Antibody Epitope Prediction"},{"url":"http://tools.iedb.org/discotope/","name":"DiscoTope: Structure-based Antibody Prediction"},{"url":"http://tools.iedb.org/ellipro/","name":"ElliPro: Antibody Epitope Prediction"},{"url":"http://tools.iedb.org/tools/population/iedb_input","name":"Population Coverage Calculation"},{"url":"http://tools.iedb.org/conservancy/","name":"Epitope Conservancy Analysis"},{"url":"http://tools.iedb.org/cluster/","name":"Epitope Cluster Analysis"},{"url":"http://tools.iedb.org/esm/userMappingFrontP.jsp","name":"Epitope Sequence and 3D Structural Homology Mapping"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012702","name":"re3data:r3d100012702","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006604","name":"SciCrunch:RRID:SCR_006604","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://help.iedb.org/hc/en-us/articles/114094146791-Data-submission-policy-for-the-general-public","type":"controlled","notes":"Submission of data is considered on a case-by-case basis."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000824","bsg-d000824"],"name":"FAIRsharing record for: Immune Epitope Database","abbreviation":"IEDB","url":"https://fairsharing.org/10.25504/FAIRsharing.c886cd","doi":"10.25504/FAIRsharing.c886cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IEDB provides the scientific community with a central repository of freely accessible epitope data and epitope prediction and analysis resources. The IEDB is a publicly accessible, comprehensive immune epitope database containing peptidic linear and conformational epitopes and non peptidic epitopes such as lipids, metals, drugs, carbohydrates, etc, with published or submitted antibody, T cell, MHC binding or MHC ligand elution experimental assays. Epitope data related to infectious diseases, allergy, autoimmunity and transplant tested in humans, non human primates, and any other species can be found in the IEDB.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10816},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12326},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12762}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Immunology","Life Science"],"domains":["Computational biological predictions","Antigen","T cell","Antibody","Immunity","Infection","Major histocompatibility complex","Literature curation"],"taxonomies":["Bacteria","Homo sapiens","Mus musculus","Oryctolagus cuniculus","Plantae","Primate","Vertebrata","Viruses"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":1668,"pubmed_id":16312048,"title":"The immune epitope database and analysis resource: from vision to blueprint.","year":2005,"url":"https://www.ncbi.nlm.nih.gov/pubmed/16312048","authors":"Sette A","journal":"Genome Inform","doi":null,"created_at":"2021-09-30T08:25:26.845Z","updated_at":"2021-09-30T08:25:26.845Z"},{"id":1685,"pubmed_id":25300482,"title":"The immune epitope database (IEDB) 3.0.","year":2014,"url":"http://doi.org/10.1093/nar/gku938","authors":"Vita R,Overton JA,Greenbaum JA,Ponomarenko J,Clark JD,Cantrell JR,Wheeler DK,Gabbard JL,Hix D,Sette A,Peters B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku938","created_at":"2021-09-30T08:25:28.784Z","updated_at":"2021-09-30T11:29:18.014Z"},{"id":2841,"pubmed_id":19906713,"title":"The immune epitope database 2.0.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1004","authors":"Vita R,Zarebski L,Greenbaum JA,Emami H,Hoof I,Salimi N,Damle R,Sette A,Peters B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1004","created_at":"2021-09-30T08:27:49.487Z","updated_at":"2021-09-30T11:29:47.137Z"},{"id":2842,"pubmed_id":22681406,"title":"The immune epitope database: a historical retrospective of the first decade.","year":2012,"url":"http://doi.org/10.1111/j.1365-2567.2012.03611.x","authors":"Salimi N,Fleri W,Peters B,Sette A","journal":"Immunology","doi":"10.1111/j.1365-2567.2012.03611.x","created_at":"2021-09-30T08:27:49.605Z","updated_at":"2021-09-30T08:27:49.605Z"}],"licence_links":[],"grants":[{"id":2325,"fairsharing_record_id":2346,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:40.048Z","updated_at":"2021-09-30T09:25:40.048Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2326,"fairsharing_record_id":2346,"organisation_id":1681,"relation":"maintains","created_at":"2021-09-30T09:25:40.090Z","updated_at":"2021-09-30T09:25:40.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":1681,"name":"La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2358","type":"fairsharing_records","attributes":{"created_at":"2016-11-15T07:56:55.000Z","updated_at":"2023-11-08T09:03:56.785Z","metadata":{"doi":"10.25504/FAIRsharing.wy4egf","name":"Zenodo","status":"ready","contacts":[{"contact_name":"Lars Holm Nielsen","contact_email":"lars.holm.nielsen@cern.ch","contact_orcid":"0000-0001-8135-3489"},{"contact_name":"Jose Benito Gonzalez Lopez","contact_email":"jose.benito.gonzalez@cern.ch","contact_orcid":"0000-0002-0816-7126"}],"homepage":"https://www.zenodo.org","citations":[],"identifier":2358,"description":"Zenodo is a generalist research data repository built and developed by OpenAIRE and CERN. It was developed to aid Open Science and is built on open source code. Zenodo helps researchers receive credit by making the research results citable and through OpenAIRE integrates them into existing reporting lines to funding agencies like the European Commission. Citation information is also passed to DataCite and onto the scholarly aggregators. Content is available publicly under any one of 400 open licences (from opendefinition.org and spdx.org). Restricted and Closed content is also supported. Free for researchers below 50 GB/dataset. Content is both online on disk and offline on tape as part of a long-term preservation policy. Zenodo supports managed access (with an access request workflow) as well as embargoing generally and during peer review. The base infrastructure of Zenodo is provided by CERN, a non-profit IGO. Projects are funded through grants.","abbreviation":"Zenodo","data_curation":{"url":"https://help.zenodo.org/docs/communities/curate/","type":"manual/automated","notes":"User Community Curation"},"support_links":[{"url":"http://blog.zenodo.org","name":"Blog","type":"Blog/News"},{"url":"https://zenodo.org/support","name":"Support form","type":"Contact form"},{"url":"info@zenodo.org","name":"Email","type":"Support email"},{"url":"https://help.zenodo.org/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.zenodo.org/","name":"Help","type":"Help documentation"},{"url":"https://www.zenodo.org/about","name":"About","type":"Help documentation"},{"url":"https://www.zenodo.org/features","name":"Features","type":"Help documentation"},{"url":"https://twitter.com/zenodo_org","name":"@zenodo_org","type":"Twitter"},{"url":"https://github.com/zenodo/zenodo","name":"Zenodo GitHub","type":"Github"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://inveniosoftware.org/products/rdm/","name":"InvenioRDM"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010468","name":"re3data:r3d100010468","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004129","name":"SciCrunch:RRID:SCR_004129","portal":"SciCrunch"}],"data_access_condition":{"url":"https://about.zenodo.org/policies/","type":"partially open","notes":"Files can be flexibly deposited under open, closed, or embargo conditions."},"resource_sustainability":{"url":"https://about.zenodo.org/roadmap/","name":"Zenodo Roadmap"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://about.zenodo.org/infrastructure/","name":"CERN EOS Services \u0026 CASTOR System (20+ year minimum retention period)."},"data_deposition_condition":{"url":"https://about.zenodo.org/policies/","type":"open","notes":"50 GB per record upload; larger quotas can be requested and granted on a case-by-case basis."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000837","bsg-d000837"],"name":"FAIRsharing record for: Zenodo","abbreviation":"Zenodo","url":"https://fairsharing.org/10.25504/FAIRsharing.wy4egf","doi":"10.25504/FAIRsharing.wy4egf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Zenodo is a generalist research data repository built and developed by OpenAIRE and CERN. It was developed to aid Open Science and is built on open source code. Zenodo helps researchers receive credit by making the research results citable and through OpenAIRE integrates them into existing reporting lines to funding agencies like the European Commission. Citation information is also passed to DataCite and onto the scholarly aggregators. Content is available publicly under any one of 400 open licences (from opendefinition.org and spdx.org). Restricted and Closed content is also supported. Free for researchers below 50 GB/dataset. Content is both online on disk and offline on tape as part of a long-term preservation policy. Zenodo supports managed access (with an access request workflow) as well as embargoing generally and during peer review. The base infrastructure of Zenodo is provided by CERN, a non-profit IGO. Projects are funded through grants.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10817},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12923},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12932},{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18431}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":["Open Science"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1941,"relation":"undefined"},{"licence_name":"Zenodo Policies","licence_id":880,"licence_url":"http://about.zenodo.org/policies/","link_id":1940,"relation":"undefined"},{"licence_name":"Zenodo Terms of Use","licence_id":881,"licence_url":"https://zenodo.org/terms","link_id":1939,"relation":"undefined"}],"grants":[{"id":2349,"fairsharing_record_id":2358,"organisation_id":2252,"relation":"maintains","created_at":"2021-09-30T09:25:40.914Z","updated_at":"2021-09-30T09:25:40.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2350,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:25:40.958Z","updated_at":"2021-09-30T09:29:08.834Z","grant_id":113,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"643410","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8302,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:59.789Z","updated_at":"2021-09-30T09:31:59.847Z","grant_id":1421,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"777541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8345,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:13.058Z","updated_at":"2021-09-30T09:32:13.119Z","grant_id":1521,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"283595","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2351,"fairsharing_record_id":2358,"organisation_id":947,"relation":"maintains","created_at":"2021-09-30T09:25:40.997Z","updated_at":"2021-09-30T09:25:40.997Z","grant_id":null,"is_lead":true,"saved_state":{"id":947,"name":"European Organisation for Nuclear Research (CERN), Geneva, Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2352,"fairsharing_record_id":2358,"organisation_id":947,"relation":"funds","created_at":"2021-09-30T09:25:41.028Z","updated_at":"2021-09-30T09:25:41.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":947,"name":"European Organisation for Nuclear Research (CERN), Geneva, Switzerland","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7935,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:29:55.648Z","updated_at":"2021-09-30T09:29:55.696Z","grant_id":472,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"731011","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2359","type":"fairsharing_records","attributes":{"created_at":"2016-11-03T12:12:18.000Z","updated_at":"2023-12-15T10:30:54.798Z","metadata":{"doi":"10.25504/FAIRsharing.68f4xz","name":"mirDNMR","status":"ready","contacts":[{"contact_name":"Yi Jiang","contact_email":"jiangyi3029@foxmail.com","contact_orcid":"0000-0002-1196-0280"}],"homepage":"http://www.wzgenomics.cn/mirdnmr/","citations":[],"identifier":2359,"description":"mirDNMR is a database for the collection of gene-centered background DNMRs obtained from different methods and population variation data. The database has the following functions: (i) browse and search the background DNMRs of each gene predicted by four different methods, including GC content (DNMR-GC), sequence context (DNMR-SC), multiple factors (DNMR-MF) and local DNA methylation level (DNMR-DM); (ii) search variant frequencies in publicly available databases, including ExAC, ESP6500, UK10K, 1000G and dbSNP and (iii) investigate the DNM burden to prioritize candidate genes based on the four background DNMRs using three statistical methods (TADA, Binomial and Poisson test). In conclusion, mirDNMR can be widely used to identify the genetic basis of sporadic genetic diseases.","abbreviation":"mirDNMR","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.wzgenomics.cn/mirdnmr/feedback.php","type":"Contact form"},{"url":"http://www.wzgenomics.cn/mirdnmr/tutorial.php","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"http://www.wzgenomics.cn/mirdnmr/search_s.php","name":"Search"},{"url":"http://www.wzgenomics.cn/mirdnmr/Prioritize.php","name":"Prioritize"},{"url":"http://www.wzgenomics.cn/mirdnmr/filter.php","name":"Filter gene list with custom range"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000838","bsg-d000838"],"name":"FAIRsharing record for: mirDNMR","abbreviation":"mirDNMR","url":"https://fairsharing.org/10.25504/FAIRsharing.68f4xz","doi":"10.25504/FAIRsharing.68f4xz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mirDNMR is a database for the collection of gene-centered background DNMRs obtained from different methods and population variation data. The database has the following functions: (i) browse and search the background DNMRs of each gene predicted by four different methods, including GC content (DNMR-GC), sequence context (DNMR-SC), multiple factors (DNMR-MF) and local DNA methylation level (DNMR-DM); (ii) search variant frequencies in publicly available databases, including ExAC, ESP6500, UK10K, 1000G and dbSNP and (iii) investigate the DNM burden to prioritize candidate genes based on the four background DNMRs using three statistical methods (TADA, Binomial and Poisson test). In conclusion, mirDNMR can be widely used to identify the genetic basis of sporadic genetic diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Mutation analysis","Mutation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1777,"pubmed_id":27799474,"title":"mirDNMR: a gene-centered database of background de novo mutation rates in human.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1044","authors":"Jiang Y,Li Z,Liu Z,Chen D,Wu W,Du Y,Ji L,Jin ZB,Li W,Wu J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1044","created_at":"2021-09-30T08:25:39.436Z","updated_at":"2021-09-30T11:29:20.628Z"}],"licence_links":[],"grants":[{"id":2353,"fairsharing_record_id":2359,"organisation_id":3226,"relation":"maintains","created_at":"2021-09-30T09:25:41.067Z","updated_at":"2021-09-30T09:25:41.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":3226,"name":"Wenzhou Medical University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2360","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T10:14:55.000Z","updated_at":"2023-12-15T10:32:11.216Z","metadata":{"doi":"10.25504/FAIRsharing.kthr0s","name":"Musa Germplasm Information System","status":"ready","contacts":[{"contact_email":"mgis@crop-diversity.org"}],"homepage":"https://www.crop-diversity.org/mgis/","citations":[],"identifier":2360,"description":"The Musa Germplasm Information System (MGIS) contains key information on Musa germplasm diversity, including passport data, botanical classification, morpho-taxonomic descriptors, molecular studies, plant photographs and GIS information on 4771 accessions managed in 24 collections around the world, making it the most extensive source of information on banana genetic resources.","abbreviation":"MGIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.crop-diversity.org/mgis/contact-form","type":"Contact form"},{"url":"https://www.crop-diversity.org/mgis/help","type":"Help documentation"},{"url":"https://www.crop-diversity.org/mgis/content/release-notes","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","associated_tools":[{"url":"https://www.crop-diversity.org/mgis/accession-search","name":"Accession Search"},{"url":"https://www.crop-diversity.org/mgis/taxonomy","name":"Taxonomy Browser"},{"url":"https://www.crop-diversity.org/mgis/comparator","name":"Accession Comparison"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000839","bsg-d000839"],"name":"FAIRsharing record for: Musa Germplasm Information System","abbreviation":"MGIS","url":"https://fairsharing.org/10.25504/FAIRsharing.kthr0s","doi":"10.25504/FAIRsharing.kthr0s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Musa Germplasm Information System (MGIS) contains key information on Musa germplasm diversity, including passport data, botanical classification, morpho-taxonomic descriptors, molecular studies, plant photographs and GIS information on 4771 accessions managed in 24 collections around the world, making it the most extensive source of information on banana genetic resources.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11498}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Life Science"],"domains":["DNA structural variation","Phenotype","Genotype"],"taxonomies":["Ensete","Musa"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":765,"pubmed_id":5502358,"title":"MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data","year":1970,"url":"http://doi.org/10.1177/18.12.893","authors":"Ruas M, Guignon V, Sempere G, et al.","journal":"database","doi":"10.1093/database/bax046","created_at":"2021-09-30T08:23:44.328Z","updated_at":"2021-09-30T11:28:30.859Z"}],"licence_links":[{"licence_name":"MGIS Data Sharing Agreement","licence_id":510,"licence_url":"https://www.crop-diversity.org/mgis/sites/crop-diversity.org.mgis/files/pdf/dsa/MGIS_DataSharingAgreement_Version1-8.pdf","link_id":1304,"relation":"undefined"}],"grants":[{"id":2354,"fairsharing_record_id":2360,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:25:41.104Z","updated_at":"2021-09-30T09:25:41.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2348","type":"fairsharing_records","attributes":{"created_at":"2016-10-18T11:41:21.000Z","updated_at":"2023-12-15T10:29:24.941Z","metadata":{"doi":"10.25504/FAIRsharing.hkk309","name":"Cellosaurus","status":"ready","contacts":[{"contact_name":"Amos Bairoch","contact_email":"Amos.Bairoch@sib.swiss","contact_orcid":"0000-0003-2826-6444"}],"homepage":"https://www.cellosaurus.org","citations":[{"doi":"10.7171/jbt.18-2902-002","pubmed_id":29805321,"publication_id":2788}],"identifier":2348,"description":"The Cellosaurus is a knowledge resource on cell lines. It attempts to describe all cell lines used in biomedical research. Its scope includes: Immortalized cell lines; naturally immortal cell lines (example: stem cell lines); finite life cell lines when those are distributed and used widely; vertebrate cell line with an emphasis on human, mouse and rat cell lines; and invertebrate (insects and ticks) cell lines. Its scope does not include primary cell lines (with the exception of the finite life cell lines described above) and plant cell lines.","abbreviation":"Cellosaurus","data_curation":{"url":"https://www.cellosaurus.org/faq","type":"manual/automated","notes":"Entry of information in hPSCreg is directly performed by the groups that have established the relevant cell lines while Cellosaurus entries are manually curated"},"support_links":[{"url":"https://www.cellosaurus.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.cellosaurus.org/cellosaurus_relnotes.txt","name":"Release notes","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Cellosaurus","type":"Wikipedia"},{"url":"https://www.cellosaurus.org/description.html","name":"Description of Cellosaurus content","type":"Help documentation"},{"url":"https://www.cellosaurus.org/educational_resources.html","name":"Cellosaurus educational resources home page","type":"Training documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.cellosaurus.org/str-search/","name":"CLASTR 1.4.4"},{"url":"https://api.cellosaurus.org/","name":"API"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013293","name":"re3data:r3d100013293","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013869","name":"SciCrunch:RRID:SCR_013869","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","certifications_and_community_badges":[{"url":"https://www.elixir-europe.org/platforms/data/core-data-resources","name":"ELIXIR Core Data Resource"},{"url":"https://irdirc.org/resources-2/irdirc-recognized-resources/","name":"IRDiRC Recognized Resource"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000826","bsg-d000826"],"name":"FAIRsharing record for: Cellosaurus","abbreviation":"Cellosaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.hkk309","doi":"10.25504/FAIRsharing.hkk309","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cellosaurus is a knowledge resource on cell lines. It attempts to describe all cell lines used in biomedical research. Its scope includes: Immortalized cell lines; naturally immortal cell lines (example: stem cell lines); finite life cell lines when those are distributed and used widely; vertebrate cell line with an emphasis on human, mouse and rat cell lines; and invertebrate (insects and ticks) cell lines. Its scope does not include primary cell lines (with the exception of the finite life cell lines described above) and plant cell lines.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18163},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12327},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12763},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13196},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13233}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Cell line"],"taxonomies":["Invertebrata","Vertebrata"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2787,"pubmed_id":31444973,"title":"CLASTR: The Cellosaurus STR similarity search tool - A precious help for cell line authentication.","year":2019,"url":"http://doi.org/10.1002/ijc.32639","authors":"Robin T,Capes-Davis A,Bairoch A","journal":"Int J Cancer","doi":"10.1002/ijc.32639","created_at":"2021-09-30T08:27:42.681Z","updated_at":"2021-09-30T08:27:42.681Z"},{"id":2788,"pubmed_id":29805321,"title":"The Cellosaurus, a Cell-Line Knowledge Resource.","year":2018,"url":"http://doi.org/10.7171/jbt.18-2902-002","authors":"Bairoch A","journal":"J Biomol Tech","doi":"10.7171/jbt.18-2902-002","created_at":"2021-09-30T08:27:42.798Z","updated_at":"2021-09-30T08:27:42.798Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1875,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1876,"relation":"undefined"}],"grants":[{"id":2328,"fairsharing_record_id":2348,"organisation_id":587,"relation":"maintains","created_at":"2021-09-30T09:25:40.190Z","updated_at":"2021-09-30T09:25:40.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":587,"name":"Computer and Laboratory Investigation of Proteins of Human Origin Group (CALIPHO), Swiss Institute of Bioinformatics, Geneva, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBc1VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9000a0f98d338c5a6a09c7e65ae363e5dbac0dfd/Cellosaurus_rvb.png?disposition=inline","exhaustive_licences":false}},{"id":"2065","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:26.194Z","metadata":{"doi":"10.25504/FAIRsharing.jrfd8y","name":"The Cancer Imaging Archive","status":"ready","contacts":[{"contact_name":"Justin Kirby","contact_email":"help@cancerimagingarchive.net","contact_orcid":"0000-0003-3487-8922"}],"homepage":"http://cancerimagingarchive.net/","citations":[{"doi":"10.1007/s10278-013-9622-7","pubmed_id":23884657,"publication_id":1335}],"identifier":2065,"description":"The Cancer Imaging Archive (TCIA) is a service which de-identifies and hosts medical images of cancer for public download. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. DICOM is the primary file format used by TCIA for radiology imaging. Supporting data related to the images such as patient outcomes, treatment details, genomics and expert analyses are also provided when available.","abbreviation":"TCIA","data_curation":{"url":"https://wiki.cancerimagingarchive.net/display/Public/Submission+and+De-identification+Overview","type":"manual/automated"},"support_links":[{"url":"https://www.facebook.com/The.Cancer.Imaging.Archive","name":"Facebook","type":"Facebook"},{"url":"https://www.cancerimagingarchive.net/contact-form/","name":"Contact Form","type":"Contact form"},{"url":"https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=4555089","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/forum/#!forum/tcia-announcements","name":"TCIA Announcements Google Group","type":"Forum"},{"url":"https://www.linkedin.com/groups/4371904/profile","name":"LinkedIn Group","type":"Forum"},{"url":"https://wiki.cancerimagingarchive.net/x/rYAY","name":"Wiki Documentation","type":"Help documentation"},{"url":"https://www.cancerimagingarchive.net/support/","name":"Support Documentation","type":"Help documentation"},{"url":"https://www.cancerimagingarchive.net/about-the-cancer-imaging-archive-tcia/","name":"About TCIA","type":"Help documentation"},{"url":"https://twitter.com/TCIA_News","name":"@TCIA_News","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/The_Cancer_Imaging_Archive_%28TCIA%29","name":"TCIA Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=22515655","name":"TCIA Data Analysis Centers (DACs)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011559","name":"re3data:r3d100011559","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008927","name":"SciCrunch:RRID:SCR_008927","portal":"SciCrunch"}],"data_access_condition":{"url":"https://wiki.cancerimagingarchive.net/display/Public/Frequently+Asked+Questions#FrequentlyAskedQuestions-2.HowdoIrequestaccesstoarestrictedcollection?","type":"partially open","notes":"Some collections have a restricted or limited access."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.cancerimagingarchive.net/primary-data/","type":"open","notes":"New datasets or analysis results can be submitted."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000532","bsg-d000532"],"name":"FAIRsharing record for: The Cancer Imaging Archive","abbreviation":"TCIA","url":"https://fairsharing.org/10.25504/FAIRsharing.jrfd8y","doi":"10.25504/FAIRsharing.jrfd8y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer Imaging Archive (TCIA) is a service which de-identifies and hosts medical images of cancer for public download. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. DICOM is the primary file format used by TCIA for radiology imaging. Supporting data related to the images such as patient outcomes, treatment details, genomics and expert analyses are also provided when available.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17399},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10795},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10963},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11095}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Oncology","Nuclear Medicine","Artificial Intelligence","Radiology","Personalized Medicine","Biomedical Science","Digital Image Processing","Pathology"],"domains":["Cancer","Magnetic resonance imaging","Imaging","Positron emission tomography","Image","Histology","Machine learning"],"taxonomies":["Canis lupus familiaris","Homo sapiens","Mus musculus"],"user_defined_tags":["Digital pathology"],"countries":["United States"],"publications":[{"id":1335,"pubmed_id":23884657,"title":"The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.","year":2013,"url":"http://doi.org/10.1007/s10278-013-9622-7","authors":"Clark K,Vendt B,Smith K,Freymann J,Kirby J,Koppel P,Moore S,Phillips S,Maffitt D,Pringle M,Tarbox L,Prior F","journal":"J Digit Imaging","doi":"10.1007/s10278-013-9622-7","created_at":"2021-09-30T08:24:49.410Z","updated_at":"2021-09-30T08:24:49.410Z"},{"id":2262,"pubmed_id":24772218,"title":"Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive.","year":2014,"url":"http://doi.org/10.1593/tlo.13862","authors":"Kalpathy-Cramer J,Freymann JB,Kirby JS,Kinahan PE,Prior FW","journal":"Transl Oncol","doi":"10.1593/tlo.13862","created_at":"2021-09-30T08:26:35.198Z","updated_at":"2021-09-30T08:26:35.198Z"},{"id":2266,"pubmed_id":25414001,"title":"Iterative probabilistic voxel labeling: automated segmentation for analysis of The Cancer Imaging Archive glioblastoma images.","year":2014,"url":"http://doi.org/10.3174/ajnr.A4171","authors":"Steed TC,Treiber JM,Patel KS,Taich Z,White NS,Treiber ML,Farid N,Carter BS,Dale AM,Chen CC","journal":"AJNR Am J Neuroradiol","doi":"10.1016/j.jocn.2018.06.018","created_at":"2021-09-30T08:26:35.723Z","updated_at":"2021-09-30T08:26:35.723Z"},{"id":2697,"pubmed_id":28925987,"title":"The public cancer radiology imaging collections of The Cancer Imaging Archive.","year":2017,"url":"http://doi.org/10.1038/sdata.2017.124","authors":"Prior F,Smith K,Sharma A,Kirby J,Tarbox L,Clark K,Bennett W,Nolan T,Freymann J","journal":"Sci Data","doi":"10.1038/sdata.2017.124","created_at":"2021-09-30T08:27:31.255Z","updated_at":"2021-09-30T08:27:31.255Z"},{"id":2698,"pubmed_id":29871933,"title":"TCIApathfinder: an R client for The Cancer Imaging Archive REST API.","year":2018,"url":"http://doi.org/10.1158/0008-5472.CAN-18-0678","authors":"Russell P,Fountain K,Wolverton D,Ghosh D","journal":"Cancer Res","doi":"10.1158/0008-5472.CAN-18-0678","created_at":"2021-09-30T08:27:31.371Z","updated_at":"2021-09-30T08:27:31.371Z"},{"id":2699,"pubmed_id":29934058,"title":"Molecular physiology of contrast enhancement in glioblastomas: An analysis of The Cancer Imaging Archive (TCIA).","year":2018,"url":"http://doi.org/S0967-5868(17)31169-4","authors":"Treiber JM,Steed TC,Brandel MG,Patel KS,Dale AM,Carter BS,Chen CC","journal":"J Clin Neurosci","doi":"S0967-5868(17)31169-4","created_at":"2021-09-30T08:27:31.530Z","updated_at":"2021-09-30T08:27:31.530Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3263,"relation":"applies_to_content"},{"licence_name":"TCIA Data Usage Policy","licence_id":774,"licence_url":"https://www.cancerimagingarchive.net/access-data","link_id":650,"relation":"undefined"}],"grants":[{"id":8325,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:05.674Z","updated_at":"2021-09-30T09:32:05.731Z","grant_id":1466,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001E/PHS HHS/United States","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1558,"fairsharing_record_id":2065,"organisation_id":3014,"relation":"maintains","created_at":"2021-09-30T09:25:11.433Z","updated_at":"2021-09-30T09:25:11.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":3014,"name":"University of Arkansas for Medical Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1559,"fairsharing_record_id":2065,"organisation_id":366,"relation":"funds","created_at":"2021-09-30T09:25:11.460Z","updated_at":"2021-09-30T09:25:11.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":366,"name":"Cancer Imaging Program (CIP), National Cancer Institute, Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1560,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:11.495Z","updated_at":"2021-09-30T09:29:53.820Z","grant_id":456,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R00LM009889","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8000,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:19.977Z","updated_at":"2021-09-30T09:30:20.021Z","grant_id":661,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01CA154602","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8057,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:41.361Z","updated_at":"2021-09-30T09:30:41.405Z","grant_id":823,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01CA148131","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8290,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:55.857Z","updated_at":"2021-09-30T09:31:55.914Z","grant_id":1392,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001E/CA/NCI NIH HHS/United States","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8438,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:39.134Z","updated_at":"2021-09-30T09:32:39.186Z","grant_id":1718,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001C/RC/CCR NIH HHS/United States","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBclVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c253b9732ba4457141a2be596ca2ddfc306e8fa3/facebook%20icon.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2066","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-20T12:18:25.579Z","metadata":{"doi":"10.25504/FAIRsharing.zmhqcq","name":"European Mouse Mutant Cell Repository","status":"deprecated","contacts":[{"contact_name":"Antje Burger","contact_email":"antje.burger@helmholtz-munich.de","contact_orcid":null},{"contact_name":"General EUCOMM contact","contact_email":"info.eucomm@helmholtz-munich.de","contact_orcid":null},{"contact_name":"General EuMMCR Contact","contact_email":"info@eummcr.org","contact_orcid":null}],"homepage":"https://www.eummcr.info/","citations":[],"identifier":2066,"description":"The EuMMCR (European Mouse Mutant cell Repository) is the mouse ES cell distribution unit in Europe. The EuMMCR has been founded as distribution unit of EUCOMM (European Mouse Mutagenesis Program). The EuMMCR provides an online database to help users discover and choose targeting vectors and mutant ES cell lines produced in the EUCOMM and EUCOMMTOOLS consortia.","abbreviation":"EuMMCR","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.eummcr.info/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.eummcr.info/eummcr","name":"About","type":"Help documentation"},{"url":"https://www.eummcr.info/products/es-cells","name":"About Mutant ES Cells","type":"Help documentation"},{"url":"https://www.eummcr.info/products/vectors","name":"About Vectors","type":"Help documentation"},{"url":"https://www.eummcr.info/protocols/tissue-culture","name":"Protocols","type":"Help documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012644","name":"re3data:r3d100012644","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001506","name":"SciCrunch:RRID:SCR_001506","portal":"SciCrunch"}],"deprecation_date":"2024-03-20","deprecation_reason":"Although available through to the end of 2024, this resource stops accepting new orders from April and will close completely at the end of the year. From their announcement: \"Unfortunately, we have to announce that the EuMMCR service will be terminated at the end of the year 2024 due to lack of funding. Therefore, we are unable to accept any new orders from first of April this year.\"","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000533","bsg-d000533"],"name":"FAIRsharing record for: European Mouse Mutant Cell Repository","abbreviation":"EuMMCR","url":"https://fairsharing.org/10.25504/FAIRsharing.zmhqcq","doi":"10.25504/FAIRsharing.zmhqcq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EuMMCR (European Mouse Mutant cell Repository) is the mouse ES cell distribution unit in Europe. The EuMMCR has been founded as distribution unit of EUCOMM (European Mouse Mutagenesis Program). The EuMMCR provides an online database to help users discover and choose targeting vectors and mutant ES cell lines produced in the EUCOMM and EUCOMMTOOLS consortia.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Biology"],"domains":["Model organism","Cell line","Embryonic stem cell","Gene","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["Germany","European Union"],"publications":[],"licence_links":[{"licence_name":"EuMMCR Copyright and Imprint","licence_id":1073,"licence_url":"https://www.eummcr.info/imprint","link_id":3339,"relation":"applies_to_content"}],"grants":[{"id":1561,"fairsharing_record_id":2066,"organisation_id":1413,"relation":"maintains","created_at":"2021-09-30T09:25:11.536Z","updated_at":"2021-09-30T09:25:11.536Z","grant_id":null,"is_lead":true,"saved_state":{"id":1413,"name":"Institute of Developmental Genetics (IDG), Helmholtz Zentrum Munich, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdTRDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--005e343cb1e704c65d4fe51911493ddf41afbf87/Screenshot%20from%202023-09-21%2010-56-06.png?disposition=inline","exhaustive_licences":true}},{"id":"2068","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:05.862Z","metadata":{"doi":"10.25504/FAIRsharing.9dpd18","name":"Mutant Mouse Resource and Research Centers","status":"ready","contacts":[{"contact_name":"MMRRC Support","contact_email":"support@mmrrc.org"},{"contact_name":"MMRRC Service","contact_email":"service@mmrrc.org","contact_orcid":null}],"homepage":"https://www.mmrrc.org/","citations":[],"identifier":2068,"description":"The MMRRC distributes and cryopreserves scientifically valuable, genetically engineered mouse strains and mouse ES cell lines with potential value for the genetics and biomedical research community. The Catalog provides information on the strains available from the MMRRC.","abbreviation":"MMRRC","data_curation":{"url":"https://www.mmrrc.org/about/faq.php","type":"manual","notes":"The MMRRC's Coordinating Committee (CC) makes the decision based on information in the application and any provided papers. The MMRRC considers input from members of its Advisory Panel who have specialized expertise. The AP members are provided with the same information as the CC members."},"support_links":[{"url":"https://www.mmrrc.org/about/faq.php","name":"MMRRC FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.mmrrc.org/catalog/searchGeneAllele.php","name":"Gene and Allele Search Help","type":"Help documentation"},{"url":"https://twitter.com/mmrc","name":"@mmrc","type":"Twitter"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013715","name":"re3data:r3d100013715","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002953","name":"SciCrunch:RRID:SCR_002953","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.mmrrc.org/about/generalInfo.php","type":"open","notes":"Catalog of strain can be purchased"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.mmrrc.org/submission/submIntro.php","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000535","bsg-d000535"],"name":"FAIRsharing record for: Mutant Mouse Resource and Research Centers","abbreviation":"MMRRC","url":"https://fairsharing.org/10.25504/FAIRsharing.9dpd18","doi":"10.25504/FAIRsharing.9dpd18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MMRRC distributes and cryopreserves scientifically valuable, genetically engineered mouse strains and mouse ES cell lines with potential value for the genetics and biomedical research community. The Catalog provides information on the strains available from the MMRRC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biology"],"domains":["Genetic polymorphism","Gene","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":527,"pubmed_id":12102564,"title":"Mutant Mouse Regional Resource Center Program: a resource for distribution of mouse models for biomedical research.","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12102564","authors":"Grieder FB.,","journal":"Comp. Med.","doi":null,"created_at":"2021-09-30T08:23:17.492Z","updated_at":"2021-09-30T08:23:17.492Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":685,"relation":"undefined"}],"grants":[{"id":1565,"fairsharing_record_id":2068,"organisation_id":3030,"relation":"maintains","created_at":"2021-09-30T09:25:11.743Z","updated_at":"2021-09-30T09:25:11.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":3030,"name":"University of California Davis","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1563,"fairsharing_record_id":2068,"organisation_id":3107,"relation":"maintains","created_at":"2021-09-30T09:25:11.614Z","updated_at":"2021-09-30T09:25:11.614Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1564,"fairsharing_record_id":2068,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:25:11.707Z","updated_at":"2021-09-30T09:25:11.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1566,"fairsharing_record_id":2068,"organisation_id":3098,"relation":"maintains","created_at":"2021-09-30T09:25:11.783Z","updated_at":"2021-09-30T09:25:11.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":3098,"name":"University of Missouri, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2100","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:57.784Z","metadata":{"doi":"10.25504/FAIRsharing.hmgte8","name":"miRBase","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"mirbase@manchester.ac.uk"}],"homepage":"http://www.mirbase.org/","citations":[{"doi":"10.1093/nar/gky1141","pubmed_id":30423142,"publication_id":1614}],"identifier":2100,"description":"The miRBase database is a searchable database of published miRNA sequences and annotation. Each entry in miRBase represents a predicted hairpin portion of a miRNA transcript (termed mir in the database), with information on the location and sequence of the mature miRNA sequence (termed miR). Both hairpin and mature sequences are available for searching and browsing, and entries can also be retrieved by name, keyword, references and annotation.","abbreviation":"miRBase","data_curation":{"url":"https://www.mirbase.org/help/submit.shtml","type":"manual","notes":"Authors are contacted by miRBase team to discuss the naming of the miRNAs."},"support_links":[{"url":"http://www.mirbase.org/help/","name":"Help Pages","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010566","name":"re3data:r3d100010566","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003152","name":"SciCrunch:RRID:SCR_003152","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.mirbase.org/registry.shtml","type":"controlled","notes":"Sequences need to be described in a manuscript accepted for publication prior submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000569","bsg-d000569"],"name":"FAIRsharing record for: miRBase","abbreviation":"miRBase","url":"https://fairsharing.org/10.25504/FAIRsharing.hmgte8","doi":"10.25504/FAIRsharing.hmgte8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The miRBase database is a searchable database of published miRNA sequences and annotation. Each entry in miRBase represents a predicted hairpin portion of a miRNA transcript (termed mir in the database), with information on the location and sequence of the mature miRNA sequence (termed miR). Both hairpin and mature sequences are available for searching and browsing, and entries can also be retrieved by name, keyword, references and annotation.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10968},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11100}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["RNA sequence","Ribonucleic acid","Crowdsourcing","Micro RNA","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":555,"pubmed_id":14681370,"title":"The microRNA Registry.","year":2003,"url":"http://doi.org/10.1093/nar/gkh023","authors":"Griffiths-Jones S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh023","created_at":"2021-09-30T08:23:20.601Z","updated_at":"2021-09-30T08:23:20.601Z"},{"id":1614,"pubmed_id":30423142,"title":"miRBase: from microRNA sequences to function.","year":2018,"url":"http://doi.org/10.1093/nar/gky1141","authors":"Kozomara A,Birgaoanu M,Griffiths-Jones S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1141","created_at":"2021-09-30T08:25:20.875Z","updated_at":"2021-09-30T11:29:16.128Z"},{"id":1626,"pubmed_id":24275495,"title":"miRBase: annotating high confidence microRNAs using deep sequencing data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1181","authors":"Kozomara A,Griffiths-Jones S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1181","created_at":"2021-09-30T08:25:22.251Z","updated_at":"2021-09-30T11:29:16.737Z"},{"id":1627,"pubmed_id":21037258,"title":"miRBase: integrating microRNA annotation and deep-sequencing data.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1027","authors":"Kozomara A,Griffiths-Jones S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1027","created_at":"2021-09-30T08:25:22.352Z","updated_at":"2021-09-30T11:29:16.844Z"},{"id":1628,"pubmed_id":17991681,"title":"miRBase: tools for microRNA genomics.","year":2007,"url":"http://doi.org/10.1093/nar/gkm952","authors":"Griffiths-Jones S,Saini HK,van Dongen S,Enright AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm952","created_at":"2021-09-30T08:25:22.450Z","updated_at":"2021-09-30T11:29:16.944Z"},{"id":1629,"pubmed_id":16381832,"title":"miRBase: microRNA sequences, targets and gene nomenclature.","year":2005,"url":"http://doi.org/10.1093/nar/gkj112","authors":"Griffiths-Jones S,Grocock RJ,van Dongen S,Bateman A,Enright AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj112","created_at":"2021-09-30T08:25:22.550Z","updated_at":"2021-09-30T11:29:17.035Z"}],"licence_links":[],"grants":[{"id":1653,"fairsharing_record_id":2100,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:15.419Z","updated_at":"2021-09-30T09:25:15.419Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1655,"fairsharing_record_id":2100,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:25:15.470Z","updated_at":"2021-09-30T09:25:15.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1652,"fairsharing_record_id":2100,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.387Z","updated_at":"2021-09-30T09:25:15.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1654,"fairsharing_record_id":2100,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:15.443Z","updated_at":"2021-09-30T09:25:15.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1656,"fairsharing_record_id":2100,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:15.507Z","updated_at":"2021-09-30T09:25:15.507Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2101","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-08T10:15:26.776Z","metadata":{"doi":"10.25504/FAIRsharing.4ttw2d","name":"Search PRINTS-S","status":"deprecated","contacts":[{"contact_name":"TK Attwood","contact_email":"attwood@bioinf.man.ac.uk"}],"homepage":"http://www.bioinf.manchester.ac.uk/dbbrowser/sprint/","citations":[],"identifier":2101,"description":"SPRINT provides search access to the data bank of protein family fingerprints (PRINTS).","abbreviation":"SPRINT","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bioinf.man.ac.uk/dbbrowser/sprint/sprint_help.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2024-07-08","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000570","bsg-d000570"],"name":"FAIRsharing record for: Search PRINTS-S","abbreviation":"SPRINT","url":"https://fairsharing.org/10.25504/FAIRsharing.4ttw2d","doi":"10.25504/FAIRsharing.4ttw2d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SPRINT provides search access to the data bank of protein family fingerprints (PRINTS).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12691}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":535,"pubmed_id":10592232,"title":"PRINTS-S: the database formerly known as PRINTS.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.225","authors":"Attwood TK., Croning MD., Flower DR., Lewis AP., Mabey JE., Scordis P., Selley JN., Wright W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.225","created_at":"2021-09-30T08:23:18.460Z","updated_at":"2021-09-30T08:23:18.460Z"}],"licence_links":[],"grants":[{"id":1659,"fairsharing_record_id":2101,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:15.641Z","updated_at":"2021-09-30T09:25:15.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1657,"fairsharing_record_id":2101,"organisation_id":2828,"relation":"funds","created_at":"2021-09-30T09:25:15.536Z","updated_at":"2021-09-30T09:25:15.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":2828,"name":"The Royal Society","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":1658,"fairsharing_record_id":2101,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.560Z","updated_at":"2021-09-30T09:25:15.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2102","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:59:05.561Z","metadata":{"doi":"10.25504/FAIRsharing.f8qafw","name":"Annmap","status":"deprecated","contacts":[{"contact_name":"C Miller","contact_email":"cmiller@picr.man.ac.uk"}],"homepage":"http://annmap.cruk.manchester.ac.uk/","identifier":2102,"description":"Annmap is a genome browser that includes mappings between genomic features and Affymetrix microarrays. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"Annmap","data_curation":{"type":"not found"},"support_links":[{"url":"http://annmap.picr.man.ac.uk/help/index","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","deprecation_date":"2021-9-23","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000571","bsg-d000571"],"name":"FAIRsharing record for: Annmap","abbreviation":"Annmap","url":"https://fairsharing.org/10.25504/FAIRsharing.f8qafw","doi":"10.25504/FAIRsharing.f8qafw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Annmap is a genome browser that includes mappings between genomic features and Affymetrix microarrays. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA microarray","Genome"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":563,"pubmed_id":17932061,"title":"X:Map: annotation and visualization of genome structure for Affymetrix exon array analysis.","year":2007,"url":"http://doi.org/10.1093/nar/gkm779","authors":"Yates T., Okoniewski MJ., Miller CJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm779","created_at":"2021-09-30T08:23:21.569Z","updated_at":"2021-09-30T08:23:21.569Z"}],"licence_links":[],"grants":[{"id":1661,"fairsharing_record_id":2102,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:25:15.720Z","updated_at":"2021-09-30T09:25:15.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1660,"fairsharing_record_id":2102,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.682Z","updated_at":"2021-09-30T09:25:15.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2103","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:29.356Z","metadata":{"doi":"10.25504/FAIRsharing.cm6j6r","name":"YEASTNET: A consensus reconstruction of yeast metabolism","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"network.reconstruction@manchester.ac.uk"}],"homepage":"http://yeast.sourceforge.net/","identifier":2103,"description":"This is a portal to the consensus yeast metabolic network as reconstructed from the genome sequence and literature. It is a highly annotated metabolic map of Saccharomyces cerevisiae S288c that is periodically updated by a team of collaborators from various research groups.","abbreviation":"YEASTNET","data_curation":{"url":"https://github.com/SysBioChalmers/yeast-GEM/blob/main/.github/CONTRIBUTING.md","type":"manual","notes":"Community curation."},"support_links":[{"url":"http://sourceforge.net/projects/yeast/forums/","name":"Forum","type":"Forum"}],"year_creation":2007,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000572","bsg-d000572"],"name":"FAIRsharing record for: YEASTNET: A consensus reconstruction of yeast metabolism","abbreviation":"YEASTNET","url":"https://fairsharing.org/10.25504/FAIRsharing.cm6j6r","doi":"10.25504/FAIRsharing.cm6j6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a portal to the consensus yeast metabolic network as reconstructed from the genome sequence and literature. It is a highly annotated metabolic map of Saccharomyces cerevisiae S288c that is periodically updated by a team of collaborators from various research groups.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Metabolomics","Systems Biology"],"domains":["Network model"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1419,"pubmed_id":18846089,"title":"A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology.","year":2008,"url":"http://doi.org/10.1038/nbt1492","authors":"Herrgård MJ., Swainston N., Dobson P., Dunn WB., Arga KY., Arvas M., Blüthgen N., Borger S., Costenoble R., Heinemann M., Hucka M., Le Novère N., Li P., Liebermeister W., Mo ML., Oliveira AP., Petranovic D., Pettifer S., Simeonidis E., Smallbone K., Spasić I., Weichart D., Brent R., Broomhead DS., Westerhoff HV., Kirdar B., Penttilä M., Klipp E., Palsson BØ., Sauer U., Oliver SG., Mendes P., Nielsen J., Kell DB.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt1492","created_at":"2021-09-30T08:24:58.603Z","updated_at":"2021-09-30T08:24:58.603Z"},{"id":2184,"pubmed_id":24678285,"title":"Revising the Representation of Fatty Acid, Glycerolipid, and Glycerophospholipid Metabolism in the Consensus Model of Yeast Metabolism.","year":2014,"url":"http://doi.org/10.1089/ind.2013.0013","authors":"Aung HW,Henry SA,Walker LP","journal":"Ind Biotechnol (New Rochelle N Y)","doi":"10.1089/ind.2013.0013","created_at":"2021-09-30T08:26:26.223Z","updated_at":"2021-09-30T08:26:26.223Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1257,"relation":"undefined"}],"grants":[{"id":1664,"fairsharing_record_id":2103,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:25:15.810Z","updated_at":"2021-09-30T09:25:15.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1662,"fairsharing_record_id":2103,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.759Z","updated_at":"2021-09-30T09:25:15.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1663,"fairsharing_record_id":2103,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:15.785Z","updated_at":"2021-09-30T09:25:15.785Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1665,"fairsharing_record_id":2103,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:15.835Z","updated_at":"2021-09-30T09:29:03.772Z","grant_id":76,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NIH R01 GM071808","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2092","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:28.230Z","metadata":{"doi":"10.25504/FAIRsharing.r1k8kz","name":"Paleobiology Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@paleobiodb.org"}],"homepage":"https://paleobiodb.org/#/","citations":[],"identifier":2092,"description":"The Paleobiology Database seeks to provide researchers and the public with information about the entire fossil record. It stores global, collection-based occurrence and taxonomic data for marine and terrestrial animals and plants of any geological age, as well as web-based software for statistical analysis of the data. It is maintained by an international non-governmental group of paleontologists.","abbreviation":"PaleoBioDB","data_curation":{"url":"https://docs.google.com/document/d/e/2PACX-1vQPrlNL2sUTFbZAzZFs2Jhs4j-1h3RfAIFNl54JstnHfxhhRcjMGImGU4VRk89C9Er_kNEWj7NTAqaR/pub","type":"manual"},"support_links":[{"url":"https://paleobiodb.org/#/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/paleobiodb","name":"GitHub Project","type":"Github"},{"url":"https://paleobiodb.org/#/resources","name":"Video Tutorials","type":"Training documentation"},{"url":"https://twitter.com/paleodb","name":"@paleodb","type":"Twitter"}],"year_creation":1998,"data_versioning":"yes","associated_tools":[{"url":"https://paleobiodb.org/#/resources","name":"Tools and Resources"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010760","name":"re3data:r3d100010760","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://paleobiodb.org/#/resources","type":"open","notes":"PBDB has three user types that are allowed to contribute data to the database."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000561","bsg-d000561"],"name":"FAIRsharing record for: Paleobiology Database","abbreviation":"PaleoBioDB","url":"https://fairsharing.org/10.25504/FAIRsharing.r1k8kz","doi":"10.25504/FAIRsharing.r1k8kz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Paleobiology Database seeks to provide researchers and the public with information about the entire fossil record. It stores global, collection-based occurrence and taxonomic data for marine and terrestrial animals and plants of any geological age, as well as web-based software for statistical analysis of the data. It is maintained by an international non-governmental group of paleontologists.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Paleontology","Ecology"],"domains":["Taxonomic classification","Marine environment"],"taxonomies":["Animalia","Plantae"],"user_defined_tags":["Paleobiology"],"countries":["United States"],"publications":[{"id":303,"pubmed_id":18599780,"title":"Phanerozoic trends in the global diversity of marine invertebrates.","year":2008,"url":"http://doi.org/10.1126/science.1156963","authors":"Alroy J., Aberhan M., Bottjer DJ., et al.","journal":"Science","doi":"10.1126/science.1156963","created_at":"2021-09-30T08:22:52.642Z","updated_at":"2021-09-30T08:22:52.642Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1517,"relation":"undefined"}],"grants":[{"id":1628,"fairsharing_record_id":2092,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:14.368Z","updated_at":"2021-09-30T09:30:54.214Z","grant_id":927,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0949416","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1627,"fairsharing_record_id":2092,"organisation_id":3036,"relation":"maintains","created_at":"2021-09-30T09:25:14.324Z","updated_at":"2021-09-30T09:25:14.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":3036,"name":"University of California Santa Barbara, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2093","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:02:41.306Z","metadata":{"doi":"10.25504/FAIRsharing.qvxhb1","name":"VBASE2","status":"ready","contacts":[{"contact_name":"Werner Müller","contact_email":"wmueller@gbf.de","contact_orcid":"0000-0002-1297-9725"}],"homepage":"http://www.vbase2.org","identifier":2093,"description":"VBASE2 is an integrative database of germ-line variable genes from the immunoglobulin loci of human and mouse. All variable gene sequences are extracted from the EMBL-Bank.","abbreviation":"VBASE2","data_curation":{"type":"none"},"support_links":[{"url":"info@vbase2.org","type":"Support email"},{"url":"http://www.vbase2.org/vbhelp.php#faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.vbase2.org/vbhelp.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable","notes":"The VBASE2 dataset is generated in an automatic process based on a BLAST search of V genes against the source nucleotide databases ( Ensembl, EMBL-Bank, including Whole Genome Shotgun (WGS) and High Throughput Genomic (HTG) sequences)"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000562","bsg-d000562"],"name":"FAIRsharing record for: VBASE2","abbreviation":"VBASE2","url":"https://fairsharing.org/10.25504/FAIRsharing.qvxhb1","doi":"10.25504/FAIRsharing.qvxhb1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VBASE2 is an integrative database of germ-line variable genes from the immunoglobulin loci of human and mouse. All variable gene sequences are extracted from the EMBL-Bank.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Immunoglobulin complex","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":558,"pubmed_id":15608286,"title":"VBASE2, an integrative V gene database.","year":2004,"url":"http://doi.org/10.1093/nar/gki088","authors":"Retter I., Althaus HH., Münch R., Müller W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki088","created_at":"2021-09-30T08:23:20.976Z","updated_at":"2021-09-30T08:23:20.976Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1826,"relation":"undefined"},{"licence_name":"VBASE2 - Disclaimer","licence_id":839,"licence_url":"http://www.vbase2.org/vbdisclaimer.php","link_id":1828,"relation":"undefined"}],"grants":[{"id":1630,"fairsharing_record_id":2093,"organisation_id":3043,"relation":"maintains","created_at":"2021-09-30T09:25:14.447Z","updated_at":"2021-09-30T09:25:14.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":3043,"name":"University of Cologne, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9348,"fairsharing_record_id":2093,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.159Z","updated_at":"2022-04-11T12:07:32.177Z","grant_id":157,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031U110A/031U210A","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2094","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-26T10:37:50.488Z","metadata":{"doi":"10.25504/FAIRsharing.qaszjp","name":"RESID Database of Protein Modifications","status":"ready","contacts":[{"contact_name":"John S Garavelli","contact_email":"jsgarave@udel.edu"}],"homepage":"http://pir.georgetown.edu/resid/","citations":[],"identifier":2094,"description":"The RESID Database of Protein Modifications is a comprehensive collection of annotations and structures for protein modifications including amino-terminal, carboxyl-terminal and peptide chain cross-link post-translational modifications.","abbreviation":"RESID","data_curation":{"url":"https://proteininformationresource.org/pirwww/support/help.shtml","type":"manual"},"support_links":[{"url":"http://pir.georgetown.edu/resid/faq.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://pir.georgetown.edu/resid/documentation.shtml","type":"Help documentation"},{"url":"http://pir.georgetown.edu/resid/documentation.shtml","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011306","name":"re3data:r3d100011306","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003505","name":"SciCrunch:RRID:SCR_003505","portal":"SciCrunch"}],"data_access_condition":{"url":"https://proteininformationresource.org/pirwww/search/searchtools.shtml","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000563","bsg-d000563"],"name":"FAIRsharing record for: RESID Database of Protein Modifications","abbreviation":"RESID","url":"https://fairsharing.org/10.25504/FAIRsharing.qaszjp","doi":"10.25504/FAIRsharing.qaszjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RESID Database of Protein Modifications is a comprehensive collection of annotations and structures for protein modifications including amino-terminal, carboxyl-terminal and peptide chain cross-link post-translational modifications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","European Union"],"publications":[{"id":334,"pubmed_id":12520062,"title":"The RESID Database of Protein Modifications: 2003 developments.","year":2003,"url":"http://doi.org/10.1093/nar/gkg038","authors":"Garavelli JS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg038","created_at":"2021-09-30T08:22:55.931Z","updated_at":"2021-09-30T11:28:45.476Z"},{"id":347,"pubmed_id":15174122,"title":"The RESID Database of Protein Modifications as a resource and annotation tool.","year":2004,"url":"http://doi.org/10.1002/pmic.200300777","authors":"Garavelli JS","journal":"Proteomics","doi":"10.1002/pmic.200300777","created_at":"2021-09-30T08:22:57.374Z","updated_at":"2021-09-30T08:22:57.374Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":192,"relation":"undefined"},{"licence_name":"Use/Link to PIR","licence_id":829,"licence_url":"https://proteininformationresource.org/pirwww/about/linkpir.shtml","link_id":193,"relation":"undefined"}],"grants":[{"id":1632,"fairsharing_record_id":2094,"organisation_id":2375,"relation":"maintains","created_at":"2021-09-30T09:25:14.523Z","updated_at":"2021-09-30T09:25:14.523Z","grant_id":null,"is_lead":false,"saved_state":{"id":2375,"name":"Protein Information Resource Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1631,"fairsharing_record_id":2094,"organisation_id":1129,"relation":"maintains","created_at":"2021-09-30T09:25:14.486Z","updated_at":"2021-09-30T09:25:14.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":1129,"name":"Georgetown University Medical Center , Georgetown University, Washington DC, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1633,"fairsharing_record_id":2094,"organisation_id":3047,"relation":"maintains","created_at":"2021-09-30T09:25:14.565Z","updated_at":"2021-09-30T09:25:14.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":3047,"name":"University of Delaware, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2095","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:21.741Z","metadata":{"doi":"10.25504/FAIRsharing.swbypy","name":"AmoebaDB","status":"ready","contacts":[{"contact_name":"Omar Harb","contact_email":"oharb@pcbi.upenn.edu"}],"homepage":"http://amoebadb.org","citations":[],"identifier":2095,"description":"AmoebaDB belongs to the EuPathDB family of databases and is an integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. In its first released, AmoebaDB contained the genomes of three Entamoeba species. AmoebaDB integrates whole genome sequence and annotation and will rapidly expand to include experimental data and environmental isolate sequences provided by community researchers . The database includes supplemental bioinformatics analyses and a web interface for data-mining.","abbreviation":"AmoebaDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://amoebadb.org/amoeba/contact.do","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"http://amoebadb.org/amoeba/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Training documentation"},{"url":"https://twitter.com/eupathdb","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"http://amoebadb.org/amoeba/showQuestion.do?questionFullName=UniversalQuestions.UnifiedBlast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012457","name":"re3data:r3d100012457","portal":"re3data"}],"data_access_condition":{"url":"https://amoebadb.org/amoeba/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://amoebadb.org/amoeba/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://amoebadb.org/amoeba/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000564","bsg-d000564"],"name":"FAIRsharing record for: AmoebaDB","abbreviation":"AmoebaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.swbypy","doi":"10.25504/FAIRsharing.swbypy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AmoebaDB belongs to the EuPathDB family of databases and is an integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. In its first released, AmoebaDB contained the genomes of three Entamoeba species. AmoebaDB integrates whole genome sequence and annotation and will rapidly expand to include experimental data and environmental isolate sequences provided by community researchers . The database includes supplemental bioinformatics analyses and a web interface for data-mining.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics"],"domains":["Sequence annotation","Model organism"],"taxonomies":["Acanthamoeba","Entamoeba","Naegleria fowleri"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":72,"pubmed_id":19914931,"title":"EuPathDB: a portal to eukaryotic pathogen databases.","year":2009,"url":"http://doi.org/10.1093/nar/gkp941","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp941","created_at":"2021-09-30T08:22:27.954Z","updated_at":"2021-09-30T08:22:27.954Z"}],"licence_links":[{"licence_name":"AmoebaDB Attribution required","licence_id":29,"licence_url":"https://amoebadb.org/amoeba/app/static-content/about.html#about_citing","link_id":219,"relation":"undefined"},{"licence_name":"AmoebaDB Data Access Policy","licence_id":30,"licence_url":"https://amoebadb.org/amoeba/app/static-content/about.html","link_id":220,"relation":"undefined"}],"grants":[{"id":1634,"fairsharing_record_id":2095,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:14.607Z","updated_at":"2021-09-30T09:25:14.607Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1636,"fairsharing_record_id":2095,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:14.677Z","updated_at":"2021-09-30T09:32:37.871Z","grant_id":1708,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HHSN272200900038C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9983,"fairsharing_record_id":2095,"organisation_id":3549,"relation":"maintains","created_at":"2022-10-07T16:09:37.940Z","updated_at":"2022-10-07T16:09:37.940Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBczRCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--576fe8315cffbe075147f2b16b7ea538c6ff16e8/amoebaDB.png?disposition=inline","exhaustive_licences":false}},{"id":"2096","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:07.372Z","metadata":{"doi":"10.25504/FAIRsharing.ptsckv","name":"Cancer Genome Mine","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"bbu-support@helsinki.fi"}],"homepage":"http://www.cangem.org/","identifier":2096,"description":"Clinical information about tumor samples and microarray data, with emphasis on array comparative genomic hybridization (aCGH) and data mining of gene copy number changes.","abbreviation":"CanGEM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cangem.org/browse.php?what=doc","type":"Help documentation"},{"url":"http://cabigtrainingdocs.nci.nih.gov/caNanolab/websubmission/caNanolab_websubmission.html","type":"Training documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2020-06-03","deprecation_reason":"This database is no longer available at its listed homepage, and no further information can be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000565","bsg-d000565"],"name":"FAIRsharing record for: Cancer Genome Mine","abbreviation":"CanGEM","url":"https://fairsharing.org/10.25504/FAIRsharing.ptsckv","doi":"10.25504/FAIRsharing.ptsckv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Clinical information about tumor samples and microarray data, with emphasis on array comparative genomic hybridization (aCGH) and data mining of gene copy number changes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Life Science","Biomedical Science"],"domains":["Cancer","Genetic polymorphism","Chromosomal aberration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":554,"pubmed_id":17932056,"title":"CanGEM: mining gene copy number changes in cancer.","year":2007,"url":"http://doi.org/10.1093/nar/gkm802","authors":"Scheinin I., Myllykangas S., Borze I., Böhling T., Knuutila S., Saharinen J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm802","created_at":"2021-09-30T08:23:20.487Z","updated_at":"2021-09-30T08:23:20.487Z"}],"licence_links":[],"grants":[{"id":1638,"fairsharing_record_id":2096,"organisation_id":17,"relation":"funds","created_at":"2021-09-30T09:25:14.782Z","updated_at":"2021-09-30T09:29:07.669Z","grant_id":105,"is_lead":false,"saved_state":{"id":17,"name":"Academy of Finland, Helsinki, Finland","grant":"207469","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1639,"fairsharing_record_id":2096,"organisation_id":1238,"relation":"funds","created_at":"2021-09-30T09:25:14.823Z","updated_at":"2021-09-30T09:31:32.317Z","grant_id":1215,"is_lead":false,"saved_state":{"id":1238,"name":"Helsinki University Hospital (HUH), Helsinki, Finland","grant":"TYH6229","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1637,"fairsharing_record_id":2096,"organisation_id":3064,"relation":"maintains","created_at":"2021-09-30T09:25:14.701Z","updated_at":"2021-09-30T09:25:14.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":3064,"name":"University of Helsinki, Finland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2087","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:07:22.217Z","metadata":{"doi":"10.25504/FAIRsharing.jrv6wj","name":"Xenopus laevis and tropicalis biology and genomics resource","status":"ready","contacts":[{"contact_name":"Aaron Zorn","contact_email":"xenbase@cchmc.org","contact_orcid":"0000-0003-3217-3590"}],"homepage":"http://www.xenbase.org","citations":[{"doi":"10.1093/genetics/iyad018","pubmed_id":36755307,"publication_id":3858}],"identifier":2087,"description":"Xenbase is the model organism database for Xenopus laevis and X. (Silurana) tropicalis which was created to improve knowledge of developmental and disease processes. Through curation and automated data provisioning from various sources, Xenbase aims to integrate the body of knowledge on Xenopus genomics and biology together with the visualization of biologically-significant interactions.","abbreviation":"Xenbase","data_curation":{"url":"https://www.xenbase.org/xenbase/static-xenbase/contactUs.jsp","type":"manual","notes":"Team of curators"},"support_links":[{"url":"https://www.youtube.com/user/XenbaseTips","name":"Video Tutorials (YouTube)","type":"Video"},{"url":"http://wiki.xenbase.org/xenwiki","name":"Xenbase Community Wiki","type":"Help documentation"},{"url":"https://www.xenbase.org/entry/other/statistics.do","name":"Statistics","type":"Help documentation"},{"url":"http://www.xenbase.org/entry/doNewsRead.do?id=610","name":"Anatomy and Histology Atlas","type":"Help documentation"},{"url":"https://www.xenbase.org/entry/static/anatomy/xenbasefate.jsp","name":"Fate Maps","type":"Help documentation"},{"url":"https://www.xenbase.org/entry/static/anatomy/movies.jsp","name":"Development Videos","type":"Help documentation"},{"url":"https://twitter.com/Xenbase","name":"@Xenbase","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Xenbase","name":"Xenbase Wikipedia Entry","type":"Wikipedia"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011331","name":"re3data:r3d100011331","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003280","name":"SciCrunch:RRID:SCR_003280","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.xenbase.org/xenbase/static-xenbase/aboutMOD.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000556","bsg-d000556"],"name":"FAIRsharing record for: Xenopus laevis and tropicalis biology and genomics resource","abbreviation":"Xenbase","url":"https://fairsharing.org/10.25504/FAIRsharing.jrv6wj","doi":"10.25504/FAIRsharing.jrv6wj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Xenbase is the model organism database for Xenopus laevis and X. (Silurana) tropicalis which was created to improve knowledge of developmental and disease processes. Through curation and automated data provisioning from various sources, Xenbase aims to integrate the body of knowledge on Xenopus genomics and biology together with the visualization of biologically-significant interactions.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10798},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10966},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11098}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Functional Genomics","Anatomy","Genomics","Genetics","Proteomics","Developmental Biology","Cell Biology"],"domains":["Expression data","Bibliography","Gene Ontology enrichment","Differential gene expression analysis","Differential protein expression analysis","Model organism","Reagent","Next generation DNA sequencing","Disease process modeling","Gene expression","Antibody","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Phenotype","Micro RNA","Genome","Genetic strain"],"taxonomies":["Xenopus","Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":708,"pubmed_id":25380782,"title":"The Virtual Xenbase: transitioning an online bioinformatics resource to a private cloud","year":2014,"url":"http://doi.org/10.1093/database/bau108","authors":"K Karimi and PD Vize","journal":"Database","doi":"10.1093/database/bau108","created_at":"2021-09-30T08:23:38.086Z","updated_at":"2021-09-30T08:23:38.086Z"},{"id":970,"pubmed_id":24139024,"title":"Enhanced XAO: the ontology of Xenopus anatomy and development underpins more accurate annotation of gene expression and queries on Xenbase.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-31","authors":"Segerdell E,Ponferrada VG,James-Zorn C,Burns KA,Fortriede JD,Dahdul WM,Vize PD,Zorn AM","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-31","created_at":"2021-09-30T08:24:07.313Z","updated_at":"2021-09-30T08:24:07.313Z"},{"id":1194,"pubmed_id":19884130,"title":"Xenbase: gene expression and improved integration.","year":2009,"url":"http://doi.org/10.1093/nar/gkp953","authors":"Bowes JB,Snyder KA,Segerdell E,Jarabek CJ,Azam K,Zorn AM,Vize PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp953","created_at":"2021-09-30T08:24:32.721Z","updated_at":"2021-09-30T11:29:02.734Z"},{"id":1196,"pubmed_id":27039265,"title":"Xenopus genomic data and browser resources.","year":2016,"url":"http://doi.org/S0012-1606(15)30357-2","authors":"Vize PD,Zorn AM","journal":"Dev Biol","doi":"10.1016/j.ydbio.2016.03.030","created_at":"2021-09-30T08:24:32.925Z","updated_at":"2021-09-30T08:24:32.925Z"},{"id":1485,"pubmed_id":25313157,"title":"Xenbase, the Xenopus model organism database; new virtualized system, data types and genomes","year":2014,"url":"http://doi.org/10.1093/nar/gku956","authors":"•JB Karpinka, JD Fortriede, KA Burns, C James-Zorn; VG Ponferrada; J Lee; K Karimi; AM Zorn; PD Vize","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku956","created_at":"2021-09-30T08:25:06.254Z","updated_at":"2021-09-30T08:25:06.254Z"},{"id":1486,"pubmed_id":30863320,"title":"Xenbase: Facilitating the Use of Xenopus to Model Human Disease.","year":2019,"url":"http://doi.org/10.3389/fphys.2019.00154","authors":"Nenni MJ, Fisher ME, James-Zorn C, Pells TJ, Ponferrada V, Chu S, Fortriede JD, Burns KA, Wang Y, Lotay VS, Wang DZ, Segerdell E, Chaturvedi P, Karimi K, Vize PD, Zorn AM.","journal":"Front Physiol. 2019 Feb 26;10:154","doi":"doi:10.3389/fphys.2019.00154","created_at":"2021-09-30T08:25:06.361Z","updated_at":"2021-09-30T08:25:06.361Z"},{"id":1498,"pubmed_id":31733057,"title":"Xenbase: deep integration of GEO \u0026 SRA RNA-seq and ChIP-seq data in a model organism database.","year":2019,"url":"http://doi.org/10.1093/nar/gkz933","authors":"Fortriede JD,Pells TJ,Chu S,Chaturvedi P,Wang D,Fisher ME,James-Zorn C,Wang Y,Nenni MJ,Burns KA,Lotay VS,Ponferrada VG,Karimi K,Zorn AM,Vize PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz933","created_at":"2021-09-30T08:25:07.774Z","updated_at":"2021-09-30T11:29:11.085Z"},{"id":2336,"pubmed_id":29761462,"title":"Navigating Xenbase: An Integrated Xenopus Genomics and Gene Expression Database.","year":2018,"url":"http://doi.org/10.1007/978-1-4939-7737-6_10","authors":"James-Zorn C, Ponferrada V, Fisher ME, Burns K, Fortriede J, Segerdell E, Karimi K, Lotay V, Wang DZ, Chu S, Pells T, Wang Y, Vize PD, Zorn A.","journal":"Methods Mol Biol. 2018;1757:251-305.","doi":"doi:10.1007/978-1-4939-7737-6_10.","created_at":"2021-09-30T08:26:46.893Z","updated_at":"2021-09-30T08:26:46.893Z"},{"id":3602,"pubmed_id":35317743,"title":"The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development.","year":2022,"url":"https://doi.org/10.1186/s12859-022-04636-8","authors":"Fisher ME, Segerdell E, Matentzoglu N, Nenni MJ, Fortriede JD, Chu S, Pells TJ, Osumi-Sutherland D, Chaturvedi P, James-Zorn C, Sundararaj N, Lotay VS, Ponferrada V, Wang DZ, Kim E, Agalakov S, Arshinoff BI, Karimi K, Vize PD, Zorn AM","journal":"BMC bioinformatics","doi":"10.1186/s12859-022-04636-8","created_at":"2022-09-27T22:02:15.642Z","updated_at":"2022-09-27T22:02:15.642Z"},{"id":3858,"pubmed_id":36755307,"title":"Xenbase: Key Features and Resources of the Xenopus Model Organism Knowledgebase.","year":2023,"url":"https://doi.org/10.1093/genetics/iyad018","authors":"Fisher M, James-Zorn C, Ponferrada V, Bell AJ, Sundararaj N, Segerdell E, Chaturvedi P, Bayyari N, Chu S, Pells T, Lotay V, Agalakov S, Wang DZ, Arshinoff BI, Foley S, Karimi K, Vize PD, Zorn AM","journal":"Genetics","doi":"10.1093/genetics/iyad018","created_at":"2023-05-02T18:33:42.949Z","updated_at":"2023-05-02T18:33:42.949Z"},{"id":3859,"pubmed_id":35833709,"title":"Normal Table of Xenopus development: a new graphical resource.","year":2022,"url":"https://doi.org/10.1242/dev.200356","authors":"Zahn N, James-Zorn C, Ponferrada VG, Adams DS, Grzymkowski J, Buchholz DR, Nascone-Yoder NM, Horb M, Moody SA, Vize PD, Zorn AM","journal":"Development (Cambridge, England)","doi":"10.1242/dev.200356","created_at":"2023-05-02T18:36:45.460Z","updated_at":"2023-05-02T18:36:45.460Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2411,"relation":"undefined"},{"licence_name":"Xenbase Credits and Copyright","licence_id":877,"licence_url":"http://www.xenbase.org/other/static-xenbase/aboutMOD.jsp","link_id":2410,"relation":"undefined"}],"grants":[{"id":1613,"fairsharing_record_id":2087,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:13.740Z","updated_at":"2021-09-30T09:25:13.740Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1611,"fairsharing_record_id":2087,"organisation_id":3027,"relation":"maintains","created_at":"2021-09-30T09:25:13.665Z","updated_at":"2021-09-30T09:25:13.665Z","grant_id":null,"is_lead":false,"saved_state":{"id":3027,"name":"University of Calgary, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1612,"fairsharing_record_id":2087,"organisation_id":278,"relation":"maintains","created_at":"2021-09-30T09:25:13.704Z","updated_at":"2021-09-30T09:25:13.704Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1614,"fairsharing_record_id":2087,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:13.768Z","updated_at":"2021-09-30T09:25:13.768Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1615,"fairsharing_record_id":2087,"organisation_id":521,"relation":"maintains","created_at":"2021-09-30T09:25:13.793Z","updated_at":"2021-09-30T09:25:13.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":521,"name":"Cincinnati Children's Hospital Medical Center, OH, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1610,"fairsharing_record_id":2087,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:13.622Z","updated_at":"2021-09-30T09:32:07.035Z","grant_id":1476,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"P41 HD064556","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2088","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:24.119Z","metadata":{"doi":"10.25504/FAIRsharing.dstf7h","name":"The UC Irvine ChemDB","status":"ready","contacts":[{"contact_name":"Pierre Baldi","contact_email":"pfbaldi@ics.uci.edu"}],"homepage":"http://cdb.ics.uci.edu","identifier":2088,"description":"ChemDB is a chemical database containing nearly 5M commercially available small molecules, important for use as synthetic building blocks, probes in systems biology and as leads for the discovery of drugs and other useful compounds.","abbreviation":"ChemDB","data_curation":{"url":"https://cdb.ics.uci.edu/cgibin/supplement/Implementation.py","type":"manual/automated"},"support_links":[{"url":"http://cdb.ics.uci.edu/cgibin/tutorial/help/ReactionTutorialHelp.htm","type":"Training documentation"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000557","bsg-d000557"],"name":"FAIRsharing record for: The UC Irvine ChemDB","abbreviation":"ChemDB","url":"https://fairsharing.org/10.25504/FAIRsharing.dstf7h","doi":"10.25504/FAIRsharing.dstf7h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChemDB is a chemical database containing nearly 5M commercially available small molecules, important for use as synthetic building blocks, probes in systems biology and as leads for the discovery of drugs and other useful compounds.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11778},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12688}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science","Biomedical Science","Systems Biology","Preclinical Studies"],"domains":["Drug","Small molecule","Target"],"taxonomies":["Not applicable"],"user_defined_tags":["Drug Target"],"countries":["United States"],"publications":[{"id":265,"pubmed_id":16174682,"title":"ChemDB: a public database of small molecules and related chemoinformatics resources.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti683","authors":"Chen J,Swamidass SJ,Dou Y,Bruand J,Baldi P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti683","created_at":"2021-09-30T08:22:48.666Z","updated_at":"2021-09-30T08:22:48.666Z"},{"id":525,"pubmed_id":17599932,"title":"ChemDB update--full-text search and virtual chemical space.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm341","authors":"Chen JH., Linstead E., Swamidass SJ., Wang D., Baldi P.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm341","created_at":"2021-09-30T08:23:17.278Z","updated_at":"2021-09-30T08:23:17.278Z"}],"licence_links":[{"licence_name":"ChemDB No commercial use without permission","licence_id":122,"licence_url":"http://cdb.ics.uci.edu/","link_id":1719,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1718,"relation":"undefined"}],"grants":[{"id":1616,"fairsharing_record_id":2088,"organisation_id":1382,"relation":"maintains","created_at":"2021-09-30T09:25:13.868Z","updated_at":"2021-09-30T09:25:13.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":1382,"name":"Institute for Genomics and Bioinformatics, University of California, Irvine, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1618,"fairsharing_record_id":2088,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:13.948Z","updated_at":"2021-09-30T09:25:13.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1619,"fairsharing_record_id":2088,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:13.987Z","updated_at":"2021-09-30T09:29:41.482Z","grant_id":360,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"LM-07443-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1617,"fairsharing_record_id":2088,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:13.906Z","updated_at":"2021-09-30T09:29:45.921Z","grant_id":392,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0513376","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8239,"fairsharing_record_id":2088,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:41.040Z","updated_at":"2021-09-30T09:31:41.092Z","grant_id":1282,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EIA-0321390","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2106","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:52.314Z","metadata":{"doi":"10.25504/FAIRsharing.ybxnhg","name":"The Zebrafish Information Network","status":"ready","contacts":[{"contact_name":"Doug Howe","contact_email":"dhowe@zfin.org","contact_orcid":"0000-0001-5831-7439"}],"homepage":"https://zfin.org/","citations":[{"doi":"10.1093/nar/gky1090","pubmed_id":30407545,"publication_id":2073}],"identifier":2106,"description":"The Zebrafish Information Network, ZFIN, serves as the primary community database resource for the laboratory use of zebrafish. We develop and support integrated zebrafish genetic, genomic, developmental and physiological information and link this information extensively to corresponding data in other model organism and human databases.","abbreviation":"ZFIN","data_curation":{"url":"https://zfin.atlassian.net/wiki/spaces/general/pages/4952883201/Data+Curation+Workflow","type":"manual"},"support_links":[{"url":"zfinadmn@zfin.org","name":"General Contact","type":"Support email"},{"url":"zfinadmin@uoregon.edu","name":"General Contact","type":"Support email"},{"url":"https://wiki.zfin.org/display/general/ZFIN+Tips","name":"Help and Tips","type":"Help documentation"},{"url":"https://zfin.org/zf_info/glossary.html","name":"ZFIN Glossary","type":"Help documentation"},{"url":"https://zfin.atlassian.net/wiki/spaces/news/overview","name":"News","type":"Help documentation"},{"url":"https://wiki.zfin.org/display/general/ZFIN+Zebrafish+Nomenclature+Conventions","name":"Zebrafish Nomenclature Conventions","type":"Help documentation"},{"url":"https://twitter.com/zfinmod","name":"@zfinmod","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Zebrafish_Information_Network","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1997,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010421","name":"re3data:r3d100010421","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002560","name":"SciCrunch:RRID:SCR_002560","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://zfin.org/action/submit-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000575","bsg-d000575"],"name":"FAIRsharing record for: The Zebrafish Information Network","abbreviation":"ZFIN","url":"https://fairsharing.org/10.25504/FAIRsharing.ybxnhg","doi":"10.25504/FAIRsharing.ybxnhg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Zebrafish Information Network, ZFIN, serves as the primary community database resource for the laboratory use of zebrafish. We develop and support integrated zebrafish genetic, genomic, developmental and physiological information and link this information extensively to corresponding data in other model organism and human databases.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10800},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10969},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11101},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16180}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Animal Physiology","Genetics","Developmental Biology"],"domains":["Expression data","Bibliography","Model organism","Disease process modeling","Mutation","Phenotype","Gene","Allele","Genome"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":644,"pubmed_id":16381936,"title":"The Zebrafish Information Network: the zebrafish model organism database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj086","authors":"Sprague J, Bayraktaroglu L, Clements D, Conlin T, Fashena D, Frazer K, Haendel M, Howe DG, Mani P, Ramachandran S, Schaper K, Segerdell E, Song P, Sprunger B, Taylor S, Van Slyke CE, Westerfield M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj086","created_at":"2021-09-30T08:23:30.887Z","updated_at":"2021-09-30T08:23:30.887Z"},{"id":651,"pubmed_id":21036866,"title":"ZFIN: enhancements and updates to the Zebrafish Model Organism Database.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1077","authors":"Bradford Y, Conlin T, Dunn N, Fashena D, Frazer K, Howe DG, Knight J, Mani P, Martin R, Moxon SA, Paddock H, Pich C, Ramachandran S, Ruef BJ, Ruzicka L, Bauer Schaper H, Schaper K, Shao X, Singer A, Sprague J, Sprunger B, Van Slyke C, Westerfield M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1077","created_at":"2021-09-30T08:23:31.835Z","updated_at":"2021-09-30T08:23:31.835Z"},{"id":1190,"pubmed_id":12519991,"title":"The Zebrafish Information Network (ZFIN): the zebrafish model organism database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg027","authors":"Sprague J,Clements D,Conlin T,Edwards P,Frazer K,Schaper K,Segerdell E,Song P,Sprunger B,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg027","created_at":"2021-09-30T08:24:32.330Z","updated_at":"2021-09-30T11:29:02.478Z"},{"id":1195,"pubmed_id":10354586,"title":"Zebrafish in the Net.","year":1999,"url":"http://doi.org/10.1016/s0168-9525(99)01741-2","authors":"Westerfield M,Doerry E,Douglas S","journal":"Trends Genet","doi":"10.1016/s0168-9525(99)01741-2","created_at":"2021-09-30T08:24:32.815Z","updated_at":"2021-09-30T08:24:32.815Z"},{"id":1212,"pubmed_id":20836073,"title":"Exploring zebrafish genomic, functional and phenotypic data using ZFIN.","year":2010,"url":"http://doi.org/10.1002/0471250953.bi0118s31","authors":"Ramachandran S,Ruef B,Pich C,Sprague J","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0118s31.","created_at":"2021-09-30T08:24:35.075Z","updated_at":"2021-09-30T08:24:35.075Z"},{"id":2072,"pubmed_id":21924170,"title":"Data extraction, transformation, and dissemination through ZFIN.","year":2011,"url":"http://doi.org/10.1016/B978-0-12-374814-0.00017-3","authors":"Howe DG, Frazer K, Fashena D, Ruzicka L, Bradford Y, Ramachandran S, Ruef BJ, Van Slyke C, Singer A, Westerfield M.","journal":"Methods Cell Biol.","doi":"10.1016/B978-0-12-374814-0.00017-3","created_at":"2021-09-30T08:26:13.601Z","updated_at":"2021-09-30T08:26:13.601Z"},{"id":2073,"pubmed_id":30407545,"title":"The Zebrafish Information Network: new support for non-coding genes, richer Gene Ontology annotations and the Alliance of Genome Resources.","year":2018,"url":"http://doi.org/10.1093/nar/gky1090","authors":"Ruzicka L,Howe DG,Ramachandran S,Toro S,Van Slyke CE,Bradford YM,Eagle A,Fashena D,Frazer K,Kalita P,Mani P,Martin R,Moxon ST,Paddock H,Pich C,Schaper K,Shao X,Singer A,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1090","created_at":"2021-09-30T08:26:13.722Z","updated_at":"2021-09-30T11:29:27.886Z"},{"id":2100,"pubmed_id":23074187,"title":"ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics.","year":2012,"url":"http://doi.org/10.1093/nar/gks938","authors":"Howe DG, Bradford YM, Conlin T, Eagle AE, Fashena D, Frazer K, Knight J, Mani P, Martin R, Moxon SA, Paddock H, Pich C, Ramachandran S, Ruef BJ, Ruzicka L, Schaper K, Shao X, Singer A, Sprunger B, Van Slyke CE, Westerfield M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks938","created_at":"2021-09-30T08:26:16.633Z","updated_at":"2021-09-30T08:26:16.633Z"},{"id":2170,"pubmed_id":17991680,"title":"The Zebrafish Information Network: the zebrafish model organism database provides expanded support for genotypes and phenotypes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm956","authors":"Sprague J., Bayraktaroglu L., Bradford Y. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm956","created_at":"2021-09-30T08:26:24.566Z","updated_at":"2021-09-30T08:26:24.566Z"}],"licence_links":[{"licence_name":"ZFIN Terms of Use","licence_id":882,"licence_url":"https://wiki.zfin.org/display/general/WARRANTY+AND+LIABILITY+DISCLAIMER%2C+OWNERSHIP%2C+AND+LIMITS+ON+USE","link_id":48,"relation":"undefined"}],"grants":[{"id":1672,"fairsharing_record_id":2106,"organisation_id":3110,"relation":"maintains","created_at":"2021-09-30T09:25:16.104Z","updated_at":"2021-09-30T09:25:16.104Z","grant_id":null,"is_lead":true,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2107","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-25T20:38:31.759Z","metadata":{"doi":"10.25504/FAIRsharing.se7ewy","name":"Compendium of Protein Lysine Modifications","status":"ready","contacts":[{"contact_name":"Yu Xue","contact_email":"xueyu@mail.hust.edu.cn"}],"homepage":"https://cplm.biocuckoo.cn/","citations":[{"doi":"10.1093/nar/gkab849","pubmed_id":null,"publication_id":4205}],"identifier":2107,"description":"CPLM (Compendium of Protein Lysine Modifications) is a database for various post-translational modifications (PTMs) specifically occurred at the side-chain amino group of lysine residues in proteins.","abbreviation":"CPLM","data_curation":{"type":"not found"},"support_links":[{"url":"https://cplm.biocuckoo.cn/Userguide.php","name":"User Guide","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000577","bsg-d000577"],"name":"FAIRsharing record for: Compendium of Protein Lysine Modifications","abbreviation":"CPLM","url":"https://fairsharing.org/10.25504/FAIRsharing.se7ewy","doi":"10.25504/FAIRsharing.se7ewy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CPLM (Compendium of Protein Lysine Modifications) is a database for various post-translational modifications (PTMs) specifically occurred at the side-chain amino group of lysine residues in proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein acetylation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1124,"pubmed_id":21059677,"title":"CPLA 1.0: an integrated database of protein lysine acetylation.","year":2010,"url":"http://doi.org/10.1093/nar/gkq939","authors":"Liu Z., Cao J., Gao X., Zhou Y., Wen L., Yang X., Yao X., Ren J., Xue Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq939","created_at":"2021-09-30T08:24:24.490Z","updated_at":"2021-09-30T08:24:24.490Z"},{"id":1169,"pubmed_id":24214993,"title":"CPLM: a database of protein lysine modifications.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1093","authors":"Liu Z,Wang Y,Gao T,Pan Z,Cheng H,Yang Q,Cheng Z,Guo A,Ren J,Xue Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1093","created_at":"2021-09-30T08:24:29.905Z","updated_at":"2021-09-30T11:29:01.801Z"},{"id":4205,"pubmed_id":null,"title":"CPLM 4.0: an updated database with rich annotations for protein lysine modifications","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab849","authors":"Zhang, Weizhi; Tan, Xiaodan; Lin, Shaofeng; Gou, Yujie; Han, Cheng; Zhang, Chi; Ning, Wanshan; Wang, Chenwei; Xue, Yu; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab849","created_at":"2024-03-25T19:31:13.448Z","updated_at":"2024-03-25T19:31:13.448Z"}],"licence_links":[],"grants":[{"id":1673,"fairsharing_record_id":2107,"organisation_id":1272,"relation":"maintains","created_at":"2021-09-30T09:25:16.141Z","updated_at":"2024-03-25T19:30:59.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":1272,"name":"Huazhong University of Science and Technology, China","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2090","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:36.584Z","metadata":{"doi":"10.25504/FAIRsharing.cpneh8","name":"LIPID MAPS","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@lipidmaps.org"}],"homepage":"http://www.lipidmaps.org","citations":[],"identifier":2090,"description":"LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003. We strive to produce new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. LIPID MAPS® is currently funded by a multi-institutional grant from Wellcome, held jointly by Cardiff University, University of California San Diego, the Babraham Institute Cambridge, and Swansea University, as well as an Innovation Study funded by ELIXIR. This current phase will see that LIPID MAPS® is maintained and importantly, further developed in line with the global demand and development of lipidomics. LIPID MAPS® has an internationally recognized classification system and the largest curated lipid structure database in the world.","abbreviation":"LIPID MAPS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.lipidmaps.org/resources/tutorials/index.html","type":"Training documentation"},{"url":"https://twitter.com/lipidmaps","type":"Twitter"},{"url":"https://www.lipidmaps.org/databases/lmsd/classification_updates","name":"Classification Updates","type":"Other"},{"url":"https://www.lipidmaps.org/databases/lmsd/overview","name":"Lipid Classification System Overview","type":"Help documentation"},{"url":"https://www.lipidmaps.org/resources/standard","name":"Standards","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012315","name":"re3data:r3d100012315","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006579","name":"SciCrunch:RRID:SCR_006579","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.lipidmaps.org/about/information","name":"Sustained Source Funding"},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.lipidmaps.org/about/information","name":"Data Preservation \u0026 Sustainability"},"data_deposition_condition":{"url":"https://www.lipidmaps.org/resources/data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000559","bsg-d000559"],"name":"FAIRsharing record for: LIPID MAPS","abbreviation":"LIPID MAPS","url":"https://fairsharing.org/10.25504/FAIRsharing.cpneh8","doi":"10.25504/FAIRsharing.cpneh8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003. We strive to produce new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. LIPID MAPS® is currently funded by a multi-institutional grant from Wellcome, held jointly by Cardiff University, University of California San Diego, the Babraham Institute Cambridge, and Swansea University, as well as an Innovation Study funded by ELIXIR. This current phase will see that LIPID MAPS® is maintained and importantly, further developed in line with the global demand and development of lipidomics. LIPID MAPS® has an internationally recognized classification system and the largest curated lipid structure database in the world.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18162}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Endocrinology","Life Science","Metabolomics","Biomedical Science","Omics","Systems Biology"],"domains":["Mass spectrum","Taxonomic classification","Lipid","Omics data analysis","Small molecule","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":518,"pubmed_id":17098933,"title":"LMSD: LIPID MAPS structure database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl838","authors":"Sud M., Fahy E., Cotter D., Brown A., Dennis EA., Glass CK., Merrill AH., Murphy RC., Raetz CR., Russell DW., Subramaniam S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl838","created_at":"2021-09-30T08:23:16.517Z","updated_at":"2021-09-30T08:23:16.517Z"},{"id":520,"pubmed_id":17584797,"title":"LIPID MAPS online tools for lipid research.","year":2007,"url":"http://doi.org/10.1093/nar/gkm324","authors":"Fahy E., Sud M., Cotter D., Subramaniam S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm324","created_at":"2021-09-30T08:23:16.759Z","updated_at":"2021-09-30T08:23:16.759Z"},{"id":2298,"pubmed_id":19098281,"title":"Update of the LIPID MAPS comprehensive classification system for lipids.","year":2008,"url":"http://doi.org/10.1194/jlr.R800095-JLR200","authors":"Fahy E,Subramaniam S,Murphy RC,Nishijima M,Raetz CR,Shimizu T,Spener F,van Meer G,Wakelam MJ,Dennis EA","journal":"J Lipid Res","doi":"10.1194/jlr.R800095-JLR200","created_at":"2021-09-30T08:26:41.097Z","updated_at":"2021-09-30T08:26:41.097Z"},{"id":4036,"pubmed_id":37855672,"title":"LIPID MAPS: update to databases and tools for the lipidomics community","year":2023,"url":"http://doi.org/10.1093/nar/gkad896","authors":"Conroy, Matthew J; Andrews, Robert M; Andrews, Simon; Cockayne, Lauren; Dennis, Edward A; Fahy, Eoin; Gaud, Caroline; Griffiths, William J; Jukes, Geoff; Kolchin, Maksim; Mendivelso, Karla; Lopez-Clavijo, Andrea F; Ready, Caroline; Subramaniam, Shankar; O’Donnell, Valerie B; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkad896","created_at":"2023-10-26T07:41:30.773Z","updated_at":"2023-10-26T07:41:30.773Z"},{"id":4037,"pubmed_id":33037133,"title":"Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures","year":2020,"url":"http://dx.doi.org/10.1194/jlr.s120001025","authors":"Liebisch, Gerhard; Fahy, Eoin; Aoki, Junken; Dennis, Edward A.; Durand, Thierry; Ejsing, Christer S.; Fedorova, Maria; Feussner, Ivo; Griffiths, William J.; Köfeler, Harald; Merrill, Alfred H.; Murphy, Robert C.; O'Donnell, Valerie B.; Oskolkova, Olga; Subramaniam, Shankar; Wakelam, Michael J.O.; Spener, Friedrich; ","journal":"Journal of Lipid Research","doi":"10.1194/jlr.s120001025","created_at":"2023-10-30T23:10:12.551Z","updated_at":"2023-10-30T23:10:12.551Z"},{"id":4038,"pubmed_id":23549332,"title":"Shorthand notation for lipid structures derived from mass spectrometry","year":2013,"url":"http://dx.doi.org/10.1194/jlr.m033506","authors":"Liebisch, Gerhard; Vizcaíno, Juan Antonio; Köfeler, Harald; Trötzmüller, Martin; Griffiths, William J.; Schmitz, Gerd; Spener, Friedrich; Wakelam, Michael J.O.; ","journal":"Journal of Lipid Research","doi":"10.1194/jlr.m033506","created_at":"2023-10-30T23:13:46.051Z","updated_at":"2023-10-30T23:13:46.051Z"},{"id":4039,"pubmed_id":15722563,"title":"A comprehensive classification system for lipids","year":2005,"url":"http://dx.doi.org/10.1194/jlr.e400004-jlr200","authors":"Fahy, Eoin; Subramaniam, Shankar; Brown, H. Alex; Glass, Christopher K.; Merrill, Alfred H.; Murphy, Robert C.; Raetz, Christian R.H.; Russell, David W.; Seyama, Yousuke; Shaw, Walter; Shimizu, Takao; Spener, Friedrich; van Meer, Gerrit; VanNieuwenhze, Michael S.; White, Stephen H.; Witztum, Joseph L.; Dennis, Edward A.; ","journal":"Journal of Lipid Research","doi":"10.1194/jlr.e400004-jlr200","created_at":"2023-10-30T23:15:16.392Z","updated_at":"2023-10-30T23:15:16.392Z"}],"licence_links":[{"licence_name":"LIPID MAPS Terms of Use","licence_id":493,"licence_url":"http://www.lipidmaps.org/about/terms_of_use.html","link_id":532,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":531,"relation":"undefined"}],"grants":[{"id":1621,"fairsharing_record_id":2090,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:14.065Z","updated_at":"2021-09-30T09:25:14.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1623,"fairsharing_record_id":2090,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:14.145Z","updated_at":"2021-09-30T09:25:14.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11054,"fairsharing_record_id":2090,"organisation_id":183,"relation":"maintains","created_at":"2023-10-26T07:46:02.402Z","updated_at":"2023-10-26T07:46:02.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11056,"fairsharing_record_id":2090,"organisation_id":3033,"relation":"collaborates_on","created_at":"2023-10-26T07:46:02.666Z","updated_at":"2023-10-26T07:46:02.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11055,"fairsharing_record_id":2090,"organisation_id":3926,"relation":"maintains","created_at":"2023-10-26T07:46:02.402Z","updated_at":"2023-10-26T07:46:02.402Z","grant_id":null,"is_lead":true,"saved_state":{"id":3926,"name":"Cardiff University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUlEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--aa80268b31c748cbe3f6d48ed7a806cf5657e34a/LM_logo%20400x400.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2091","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:54:13.776Z","metadata":{"doi":"10.25504/FAIRsharing.an4drj","name":"Knockout Mouse Project","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"mmrrc@ucdavis.edu"}],"homepage":"https://www.mmrrc.org/catalog/StrainCatalogSearchForm.php?search_query=KOMP%20Repository","citations":[],"identifier":2091,"description":"Knockout mutant mice strains. The KOMP repository is a resource of mouse embryonic stem (ES) cells containing a null mutation in every gene in the mouse genome. The KOMP collection of mice, ES Cells, and vectors are now distributed through the Mutant Mouse Resource and Research Center at UC Davis.","abbreviation":"KOMP","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.mmrrc.org/catalog/overview_Major_Collection.php#108","name":"About the KOMP Collection at the MMRRC","type":"Help documentation"},{"url":"https://mmrrc.ucdavis.edu/es-cell-protocols/","name":"ES Cell Protocols","type":"Help documentation"},{"url":"https://mmrrc.ucdavis.edu/genotyping-protocols/","name":"Genotyping Protocols","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-12-06","deprecation_reason":"KOMP Repository mice and ES cells are available from the MMRRC at UC Davis. You can find the KOMP Repository collection of lines in the MMRRC catalog, whose URL is now provided as the homepage for this record.. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000560","bsg-d000560"],"name":"FAIRsharing record for: Knockout Mouse Project","abbreviation":"KOMP","url":"https://fairsharing.org/10.25504/FAIRsharing.an4drj","doi":"10.25504/FAIRsharing.an4drj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Knockout mutant mice strains. The KOMP repository is a resource of mouse embryonic stem (ES) cells containing a null mutation in every gene in the mouse genome. The KOMP collection of mice, ES Cells, and vectors are now distributed through the Mutant Mouse Resource and Research Center at UC Davis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene knockout","Gene","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":543,"pubmed_id":15340423,"title":"The knockout mouse project.","year":2004,"url":"http://doi.org/10.1038/ng0904-921","authors":"Austin CP., et al.","journal":"Nat. Genet.","doi":"10.1038/ng0904-921","created_at":"2021-09-30T08:23:19.286Z","updated_at":"2021-09-30T08:23:19.286Z"}],"licence_links":[],"grants":[{"id":1624,"fairsharing_record_id":2091,"organisation_id":1922,"relation":"maintains","created_at":"2021-09-30T09:25:14.177Z","updated_at":"2021-09-30T09:25:14.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":1922,"name":"Mutant Mouse Resource and Research Center (MMRRC) at UC Davis","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1625,"fairsharing_record_id":2091,"organisation_id":2805,"relation":"maintains","created_at":"2021-09-30T09:25:14.212Z","updated_at":"2021-09-30T09:25:14.212Z","grant_id":null,"is_lead":true,"saved_state":{"id":2805,"name":"The Mouse Biology Program at UC Davis","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1626,"fairsharing_record_id":2091,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:14.244Z","updated_at":"2021-09-30T09:25:14.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2097","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:03:29.017Z","metadata":{"doi":"10.25504/FAIRsharing.vkr57k","name":"GWAS Central","status":"ready","contacts":[{"contact_name":"GWAS Central Helpdesk","contact_email":"help@gwascentral.org"}],"homepage":"https://www.gwascentral.org/","citations":[{"doi":"10.1093/nar/gkz895","pubmed_id":31612961,"publication_id":2886}],"identifier":2097,"description":"GWAS Central stores genome-wide association study data. The database content comprises direct submissions received from GWAS authors and consortia in addition to actively gathered data sets from various public sources. GWAS data are discoverable from the perspective of genetic markers, genes, genome regions or phenotypes, via graphical visualizations and detailed downloadable data reports.","abbreviation":"GWAS Central","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgkac1017","type":"manual/automated"},"support_links":[{"url":"tb143@leicester.ac.uk","name":"Tim Beck","type":"Support email"},{"url":"https://help.gwascentral.org/how-to-guides/","name":"How-To Guides","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.gwascentral.org","name":"Help Pages","type":"Help documentation"},{"url":"https://help.gwascentral.org/about/contact/","name":"Contact Information","type":"Help documentation"},{"url":"https://help.gwascentral.org/about/","name":"About GWAS Central","type":"Help documentation"},{"url":"https://help.gwascentral.org/category/news/","name":"News","type":"Help documentation"},{"url":"http://feeds.feedburner.com/gwascentral","name":"GWAS Central RSS","type":"Blog/News"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010565","name":"re3data:r3d100010565","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006170","name":"SciCrunch:RRID:SCR_006170","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://help.gwascentral.org/submit-data/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000566","bsg-d000566"],"name":"FAIRsharing record for: GWAS Central","abbreviation":"GWAS Central","url":"https://fairsharing.org/10.25504/FAIRsharing.vkr57k","doi":"10.25504/FAIRsharing.vkr57k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GWAS Central stores genome-wide association study data. The database content comprises direct submissions received from GWAS authors and consortia in addition to actively gathered data sets from various public sources. GWAS data are discoverable from the perspective of genetic markers, genes, genome regions or phenotypes, via graphical visualizations and detailed downloadable data reports.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12689}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Genetic marker","Phenotype","Gene","Genome-wide association study","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":545,"pubmed_id":18948288,"title":"HGVbaseG2P: a central genetic association database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn748","authors":"Thorisson GA., Lancaster O., Free RC., Hastings RK., Sarmah P., Dash D., Brahmachari SK., Brookes AJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn748","created_at":"2021-09-30T08:23:19.485Z","updated_at":"2021-09-30T08:23:19.485Z"},{"id":2886,"pubmed_id":31612961,"title":"GWAS Central: a comprehensive resource for the discovery and comparison of genotype and phenotype data from genome-wide association studies.","year":2019,"url":"http://doi.org/10.1093/nar/gkz895","authors":"Beck T,Shorter T,Brookes AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz895","created_at":"2021-09-30T08:27:55.263Z","updated_at":"2021-09-30T11:29:48.238Z"},{"id":3863,"pubmed_id":null,"title":"GWAS Central: an expanding resource for finding and visualising genotype and phenotype data from genome-wide association studies","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1017","authors":"Beck, Tim; Rowlands, Thomas; Shorter, Tom; Brookes, Anthony J; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1017","created_at":"2023-05-16T11:48:35.598Z","updated_at":"2023-05-16T11:48:35.598Z"}],"licence_links":[{"licence_name":"GWAS Central Disclaimer","licence_id":371,"licence_url":"https://help.gwascentral.org/disclaimer/","link_id":389,"relation":"undefined"}],"grants":[{"id":1642,"fairsharing_record_id":2097,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:25:14.949Z","updated_at":"2021-09-30T09:29:49.941Z","grant_id":425,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1641,"fairsharing_record_id":2097,"organisation_id":3077,"relation":"maintains","created_at":"2021-09-30T09:25:14.908Z","updated_at":"2021-09-30T09:25:14.908Z","grant_id":null,"is_lead":true,"saved_state":{"id":3077,"name":"University of Leicester, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcGdDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d472653a1daf7e0a8b010aa245612f40569ea230/gwas-central-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2098","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:12.541Z","metadata":{"doi":"10.25504/FAIRsharing.5ey5w6","name":"PseudoBase","status":"ready","contacts":[{"contact_name":"Eke van Batenburg","contact_email":"EkevanBatenburg2009@live.com"}],"homepage":"http://www.ekevanbatenburg.nl/pb","identifier":2098,"description":"PseudoBase is a collection of RNA pseudoknots that have been made available for retrieval to the scientific community.","abbreviation":"PseudoBase","data_curation":{"type":"manual"},"year_creation":1997,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010563","name":"re3data:r3d100010563","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ekevanbatenburg.nl/PKBASE/PKBPUT.HTML","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000567","bsg-d000567"],"name":"FAIRsharing record for: PseudoBase","abbreviation":"PseudoBase","url":"https://fairsharing.org/10.25504/FAIRsharing.5ey5w6","doi":"10.25504/FAIRsharing.5ey5w6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PseudoBase is a collection of RNA pseudoknots that have been made available for retrieval to the scientific community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science","Biomedical Science"],"domains":["Ribonucleic acid","Pathogen","Pseudoknot"],"taxonomies":["Anopheles gambiae","Bacillus subtilis","Bombyx mori","Bordetella pertussis","Bos taurus","Drosophila","Escherichia coli","Homo sapiens","Neurospora intermedia","Rattus rattus","Viruses"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":414,"pubmed_id":18988624,"title":"PseudoBase++: an extension of PseudoBase for easy searching, formatting and visualization of pseudoknots.","year":2008,"url":"http://doi.org/10.1093/nar/gkn806","authors":"Taufer M,Licon A,Araiza R,Mireles D,van Batenburg FH,Gultyaev AP,Leung MY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn806","created_at":"2021-09-30T08:23:05.006Z","updated_at":"2021-09-30T11:28:46.426Z"},{"id":548,"pubmed_id":10592225,"title":"PseudoBase: a database with RNA pseudoknots.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.201","authors":"van Batenburg FH., Gultyaev AP., Pleij CW., Ng J., Oliehoek J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.201","created_at":"2021-09-30T08:23:19.785Z","updated_at":"2021-09-30T08:23:19.785Z"},{"id":559,"pubmed_id":11125088,"title":"PseudoBase: structural information on RNA pseudoknots.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.194","authors":"van Batenburg FH., Gultyaev AP., Pleij CW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.194","created_at":"2021-09-30T08:23:21.085Z","updated_at":"2021-09-30T08:23:21.085Z"}],"licence_links":[],"grants":[{"id":1643,"fairsharing_record_id":2098,"organisation_id":3078,"relation":"maintains","created_at":"2021-09-30T09:25:14.987Z","updated_at":"2021-09-30T09:25:14.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":3078,"name":"University of Leiden, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1644,"fairsharing_record_id":2098,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:15.032Z","updated_at":"2021-09-30T09:25:15.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1645,"fairsharing_record_id":2098,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:15.070Z","updated_at":"2021-09-30T09:25:15.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2099","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-09T14:34:01.397Z","metadata":{"doi":"10.25504/FAIRsharing.h8r843","name":"PRINTS","status":"deprecated","contacts":[{"contact_name":"Teresa K Attwood","contact_email":"teresa.k.attwood@manchester.ac.uk"}],"homepage":"http://www.bioinf.manchester.ac.uk/dbbrowser/PRINTS/PRINTS.html","citations":[{"doi":"10.1093/nar/gkg030","pubmed_id":12520033,"publication_id":1584}],"identifier":2099,"description":"PRINTS is a collection of groups of conserved protein motifs, called fingerprints, used to define a protein family. A fingerprint is a group of conserved motifs used to characterize a protein family. Usually, the motifs do not overlap, though they may be contiguous in 3D space. Fingerprints can encode protein folds and functionalities more flexibly than single motifs. Please note that the last release of this database on the PRINTS website was in 2007.","abbreviation":"PRINTS","data_curation":{"type":"not found"},"support_links":[{"url":"http://130.88.97.239/PRINTS/printsman.html","name":"User Guide","type":"Help documentation"},{"url":"http://130.88.97.239/PRINTS/relnotes.html","name":"Release Notes","type":"Help documentation"},{"url":"http://130.88.97.239/PRINTS/whatsnew.html","name":"What's New","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/prints-a-protein-family-database-with-a-difference","name":"Prints a protein family database with a difference","type":"TeSS links to training materials"},{"url":"https://en.wikipedia.org/wiki/PRINTS","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1994,"data_versioning":"not found","associated_tools":[{"url":"http://www.bioinf.manchester.ac.uk/dbbrowser/fingerPRINTScan/","name":"FingerPRINTScan"}],"deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000568","bsg-d000568"],"name":"FAIRsharing record for: PRINTS","abbreviation":"PRINTS","url":"https://fairsharing.org/10.25504/FAIRsharing.h8r843","doi":"10.25504/FAIRsharing.h8r843","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRINTS is a collection of groups of conserved protein motifs, called fingerprints, used to define a protein family. A fingerprint is a group of conserved motifs used to characterize a protein family. Usually, the motifs do not overlap, though they may be contiguous in 3D space. Fingerprints can encode protein folds and functionalities more flexibly than single motifs. Please note that the last release of this database on the PRINTS website was in 2007.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12690}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology","Biology"],"domains":["Protein domain","Binding motif","Protein"],"taxonomies":["All"],"user_defined_tags":["Polypeptide motif"],"countries":["United Kingdom"],"publications":[{"id":1570,"pubmed_id":10705433,"title":"FingerPRINTScan: intelligent searching of the PRINTS motif database.","year":2000,"url":"http://doi.org/10.1093/bioinformatics/15.10.799","authors":"Scordis P., Flower DR., Attwood TK.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/15.10.799","created_at":"2021-09-30T08:25:16.003Z","updated_at":"2021-09-30T08:25:16.003Z"},{"id":1584,"pubmed_id":12520033,"title":"PRINTS and its automatic supplement, prePRINTS.","year":2003,"url":"http://doi.org/10.1093/nar/gkg030","authors":"Attwood TK,Bradley P,Flower DR,Gaulton A,Maudling N,Mitchell AL,Moulton G,Nordle A,Paine K,Taylor P,Uddin A,Zygouri C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg030","created_at":"2021-09-30T08:25:17.559Z","updated_at":"2021-09-30T11:29:14.711Z"},{"id":1586,"pubmed_id":22508994,"title":"The PRINTS database: a fine-grained protein sequence annotation and analysis resource--its status in 2012.","year":2012,"url":"http://doi.org/10.1093/database/bas019","authors":"Attwood TK,Coletta A,Muirhead G,Pavlopoulou A,Philippou PB,Popov I,Roma-Mateo C,Theodosiou A,Mitchell AL","journal":"Database (Oxford)","doi":"10.1093/database/bas019","created_at":"2021-09-30T08:25:17.852Z","updated_at":"2021-09-30T08:25:17.852Z"}],"licence_links":[],"grants":[{"id":1647,"fairsharing_record_id":2099,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.140Z","updated_at":"2021-09-30T09:25:15.140Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1646,"fairsharing_record_id":2099,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:15.104Z","updated_at":"2021-09-30T09:25:15.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1648,"fairsharing_record_id":2099,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:15.233Z","updated_at":"2021-09-30T09:25:15.233Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1649,"fairsharing_record_id":2099,"organisation_id":1318,"relation":"funds","created_at":"2021-09-30T09:25:15.270Z","updated_at":"2021-09-30T09:31:57.836Z","grant_id":1407,"is_lead":false,"saved_state":{"id":1318,"name":"IMPACT Europe","grant":"213037","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1651,"fairsharing_record_id":2099,"organisation_id":904,"relation":"funds","created_at":"2021-09-30T09:25:15.349Z","updated_at":"2021-09-30T09:32:02.027Z","grant_id":1437,"is_lead":false,"saved_state":{"id":904,"name":"EuroKUP COST Action","grant":"BM0702","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9217,"fairsharing_record_id":2099,"organisation_id":933,"relation":"funds","created_at":"2022-04-11T12:07:23.044Z","updated_at":"2022-04-11T12:07:23.062Z","grant_id":1663,"is_lead":false,"saved_state":{"id":933,"name":"European FP7 EMBRACE project","grant":"LHSG-CT-2004-512092","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2105","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:57:43.904Z","metadata":{"doi":"10.25504/FAIRsharing.ctwd7b","name":"Antimicrobial Peptide Database","status":"deprecated","contacts":[{"contact_name":"Guangshun Wang","contact_email":"gwang@unmc.edu"}],"homepage":"https://wangapd3.com/main.php","identifier":2105,"description":"The Antimicrobial Peptide Database (APD) contains information on antimicrobial peptides from across a wide taxonomic range. It includes a glossary, nomenclature, classification, information search, prediction, design, and statistics of AMPs. The antimicrobial peptides in this database contain less than 100 amino acid residues, are in the mature and active form, and primarily from natural sources, ranging from bacteria, fungi, plants, to animals.","abbreviation":"APD","data_curation":{"type":"not found"},"support_links":[{"url":"https://wangapd3.com/what_new.php","name":"News","type":"Blog/News"},{"url":"https://wangapd3.com/FAQ.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wangapd3.com/class.php","name":"Classification","type":"Help documentation"},{"url":"https://wangapd3.com/structure.php","name":"3D Structure","type":"Help documentation"},{"url":"https://wangapd3.com/tools.php","name":"Additional Tools","type":"Help documentation"},{"url":"https://wangapd3.com/Glossary_wang.php","name":"Glossary","type":"Help documentation"},{"url":"https://wangapd3.com/about.php","name":"About","type":"Help documentation"},{"url":"https://wangapd3.com/naming.php","name":"Nomenclature","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://aps.unmc.edu/AP/prediction/prediction_main.php","name":"analyze"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012901","name":"re3data:r3d100012901","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006606","name":"SciCrunch:RRID:SCR_006606","portal":"SciCrunch"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000574","bsg-d000574"],"name":"FAIRsharing record for: Antimicrobial Peptide Database","abbreviation":"APD","url":"https://fairsharing.org/10.25504/FAIRsharing.ctwd7b","doi":"10.25504/FAIRsharing.ctwd7b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Antimicrobial Peptide Database (APD) contains information on antimicrobial peptides from across a wide taxonomic range. It includes a glossary, nomenclature, classification, information search, prediction, design, and statistics of AMPs. The antimicrobial peptides in this database contain less than 100 amino acid residues, are in the mature and active form, and primarily from natural sources, ranging from bacteria, fungi, plants, to animals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Computational biological predictions","Peptide","Antimicrobial","Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":10,"pubmed_id":18957441,"title":"APD2: the updated antimicrobial peptide database and its application in peptide design.","year":2008,"url":"http://doi.org/10.1093/nar/gkn823","authors":"Wang G,Li X,Wang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn823","created_at":"2021-09-30T08:22:21.596Z","updated_at":"2021-09-30T11:28:41.482Z"},{"id":553,"pubmed_id":14681488,"title":"APD: the Antimicrobial Peptide Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh025","authors":"Wang Z., Wang G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh025","created_at":"2021-09-30T08:23:20.368Z","updated_at":"2021-09-30T08:23:20.368Z"},{"id":589,"pubmed_id":26602694,"title":"APD3: the antimicrobial peptide database as a tool for research and education.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1278","authors":"Wang G,Li X,Wang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1278","created_at":"2021-09-30T08:23:24.582Z","updated_at":"2021-09-30T11:28:47.527Z"}],"licence_links":[],"grants":[{"id":1671,"fairsharing_record_id":2105,"organisation_id":3104,"relation":"maintains","created_at":"2021-09-30T09:25:16.066Z","updated_at":"2021-09-30T09:25:16.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":3104,"name":"University of Nebraska Medical Center","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1670,"fairsharing_record_id":2105,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:16.025Z","updated_at":"2021-09-30T09:31:44.621Z","grant_id":1307,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01AI105147","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2089","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:51:57.966Z","metadata":{"doi":"10.25504/FAIRsharing.qje0v8","name":"Database of Interacting Proteins","status":"ready","contacts":[{"contact_name":"DIP General Contact","contact_email":"dip@mbi.ucla.edu"}],"homepage":"https://dip.doe-mbi.ucla.edu/dip/Main.cgi","citations":[{"doi":"10.1093/nar/gkh086","pubmed_id":14681454,"publication_id":1531}],"identifier":2089,"description":"The database of interacting protein (DIP) database stores experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. The data stored within the DIP database were curated, both manually by expert curators and automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the core DIP data.","abbreviation":"DIP","data_curation":{"url":"https://dip.doe-mbi.ucla.edu/dip/Main.cgi","type":"manual/automated","notes":"The data stored within the DIP database were curated, both, manually by expert curators and also automatically using computational approaches."},"support_links":[{"url":"https://dip.doe-mbi.ucla.edu/dip/Guide.cgi","name":"User Guide","type":"Help documentation"},{"url":"https://dip.doe-mbi.ucla.edu/dip/Stat.cgi","name":"Statistics","type":"Help documentation"},{"url":"https://dip.doe-mbi.ucla.edu/dip/Articles.cgi","name":"DIP-related Publications","type":"Help documentation"}],"year_creation":1999,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010670","name":"re3data:r3d100010670","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003167","name":"SciCrunch:RRID:SCR_003167","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dip.doe-mbi.ucla.edu/dip/Submissions.cgi","type":"controlled","notes":"Peer-reviewed protein interaction data should be submitted."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000558","bsg-d000558"],"name":"FAIRsharing record for: Database of Interacting Proteins","abbreviation":"DIP","url":"https://fairsharing.org/10.25504/FAIRsharing.qje0v8","doi":"10.25504/FAIRsharing.qje0v8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database of interacting protein (DIP) database stores experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. The data stored within the DIP database were curated, both manually by expert curators and automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the core DIP data.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10799},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10967},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11099},{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11216}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biology"],"domains":["Protein interaction","Network model","High-throughput screening","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1355,"pubmed_id":11125102,"title":"DIP: The Database of Interacting Proteins: 2001 update.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.239","authors":"Xenarios I,Fernandez E,Salwinski L,Duan XJ,Thompson MJ,Marcotte EM,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.239","created_at":"2021-09-30T08:24:51.598Z","updated_at":"2021-09-30T11:29:06.443Z"},{"id":1356,"pubmed_id":10592249,"title":"DIP: the database of interacting proteins.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.289","authors":"Xenarios I,Rice DW,Salwinski L,Baron MK,Marcotte EM,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.289","created_at":"2021-09-30T08:24:51.689Z","updated_at":"2021-09-30T11:29:06.584Z"},{"id":1527,"pubmed_id":11752321,"title":"DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.303","authors":"Xenarios I,Salwinski L,Duan XJ,Higney P,Kim SM,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.303","created_at":"2021-09-30T08:25:10.949Z","updated_at":"2021-09-30T11:29:12.485Z"},{"id":1531,"pubmed_id":14681454,"title":"The Database of Interacting Proteins: 2004 update.","year":2003,"url":"http://doi.org/10.1093/nar/gkh086","authors":"Salwinski L,Miller CS,Smith AJ,Pettit FK,Bowie JU,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh086","created_at":"2021-09-30T08:25:11.391Z","updated_at":"2021-09-30T11:29:12.826Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":118,"relation":"undefined"},{"licence_name":"DIP Terms of Use","licence_id":244,"licence_url":"https://dip.doe-mbi.ucla.edu/dip/termsofuse.html","link_id":126,"relation":"undefined"}],"grants":[{"id":1620,"fairsharing_record_id":2089,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:14.023Z","updated_at":"2021-09-30T09:25:14.023Z","grant_id":null,"is_lead":true,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2157","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-26T08:03:41.556Z","metadata":{"doi":"10.25504/FAIRsharing.jjka8c","name":"Knowledge Network for Biocomplexity","status":"ready","contacts":[{"contact_name":"KNB Help","contact_email":"knb-help@nceas.ucsb.edu","contact_orcid":"0000-0003-0077-4738"}],"homepage":"https://knb.ecoinformatics.org","citations":[],"identifier":2157,"description":"The Knowledge Network for Biocomplexity (KNB) is an international repository intended to facilitate ecological and environmental research. KNB was created to share, discover, access and interpret complex ecological data. Contextual information provided with KNB data allows scientists to integrate and analyze data. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The foundation of the KNB is the detailed metadata provided by researchers, which promotes both automated and manual integration of data into new projects. As part of the KNB effort, data management software is developed in a free and open source manner, so other groups can build upon the tools. The KNB is powered by the Metacat data management system, and is optimized for handling data sets described using the Ecological Metadata Language, but can store any XML-based metadata document.","abbreviation":"KNB","data_curation":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","type":"automated","notes":"The automated MetaDIG engine is used to provide quality assessment reports on each submitted dataset."},"support_links":[{"url":"https://knb.ecoinformatics.org/help","name":"Help Pages","type":"Help documentation"},{"url":"https://knb.ecoinformatics.org/profile","name":"Summary Statistics","type":"Help documentation"},{"url":"https://knb.ecoinformatics.org/knb/docs/","name":"Metacat Administrator's Guide","type":"Help documentation"},{"url":"https://knb.ecoinformatics.org/about","name":"About KNB","type":"Help documentation"},{"url":"https://twitter.com/nceas","name":"@nceas","type":"Twitter"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"https://knb.ecoinformatics.org/knb/docs","name":"Metacat"},{"url":"https://knb.ecoinformatics.org/tools","name":"Morpho"},{"url":"https://knb.ecoinformatics.org/tools","name":"DataONE R Client"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010092","name":"re3data:r3d100010092","portal":"re3data"}],"data_access_condition":{"url":"https://knb.ecoinformatics.org/about","type":"open"},"resource_sustainability":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","name":"\u003eAbout the KNB \u003e Partnered with DataONE \u003e provides a distributed framework and sustainable cyberinfrastructure"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","name":"\u003e Data preservation"},"data_deposition_condition":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000629","bsg-d000629"],"name":"FAIRsharing record for: Knowledge Network for Biocomplexity","abbreviation":"KNB","url":"https://fairsharing.org/10.25504/FAIRsharing.jjka8c","doi":"10.25504/FAIRsharing.jjka8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Knowledge Network for Biocomplexity (KNB) is an international repository intended to facilitate ecological and environmental research. KNB was created to share, discover, access and interpret complex ecological data. Contextual information provided with KNB data allows scientists to integrate and analyze data. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The foundation of the KNB is the detailed metadata provided by researchers, which promotes both automated and manual integration of data into new projects. As part of the KNB effort, data management software is developed in a free and open source manner, so other groups can build upon the tools. The KNB is powered by the Metacat data management system, and is optimized for handling data sets described using the Ecological Metadata Language, but can store any XML-based metadata document.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Ecology","Earth Science"],"domains":["Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1908,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3271,"relation":"undefined"}],"grants":[{"id":1828,"fairsharing_record_id":2157,"organisation_id":652,"relation":"maintains","created_at":"2021-09-30T09:25:21.994Z","updated_at":"2021-09-30T09:25:21.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":652,"name":"DataONE, Santa Barbara, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1827,"fairsharing_record_id":2157,"organisation_id":1961,"relation":"maintains","created_at":"2021-09-30T09:25:21.964Z","updated_at":"2021-09-30T09:25:21.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":1961,"name":"National Center for Ecological Analysis and Synthesis (NCEAS), Santa Barbara, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1829,"fairsharing_record_id":2157,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:22.036Z","updated_at":"2021-09-30T09:31:25.941Z","grant_id":1166,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB99-80154","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcndDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--5af5ca1c6af6d193f73b410250e30961909ab3d9/knb-logo-tile.png?disposition=inline","exhaustive_licences":false}},{"id":"2161","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:34.494Z","metadata":{"doi":"10.25504/FAIRsharing.6yw6cp","name":"PANGAEA - Data Publisher for Earth and Environmental Science","status":"ready","contacts":[{"contact_name":"Prof. Dr. Frank Oliver Glöckner","contact_email":"info@pangaea.de","contact_orcid":"0000-0001-8528-9023"}],"homepage":"https://www.pangaea.de","citations":[],"identifier":2161,"description":"PANGAEA - Data Publisher for Earth \u0026 Environmental Sciences has an almost 30-year history as an open-access library for archiving, publishing, and disseminating georeferenced data from the Earth, environmental, and biodiversity sciences. Originally evolving from a database for sediment cores, it is operated as a joint facility of the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) and the Center for Marine Environmental Sciences (MARUM) at the University of Bremen. PANGAEA holds a mandate from the World Meteorological Organization (WMO) and is accredited as a World Radiation Monitoring Center (WRMC). It was further accredited as a World Data Center by the International Council for Science (ICS) in 2001 and has been certified with the Core Trust Seal since 2019. \nThe successful cooperation between PANGAEA and the publishing industry along with the correspondent technical implementation enables the cross-referencing of scientific publications and datasets archived as supplements to these publications. PANGAEA is the recommended data repository of numerous international scientific journals.","abbreviation":"PANGAEA","data_curation":{"url":"https://www.pangaea.de/submit/","type":"manual/automated","notes":"All data and metadata are quality checked, harmonized, and processed for machine readability, which allows efficient and reliable re-usage of your data."},"support_links":[{"url":"https://secure.pangaea.de/contact/","name":"Contact Form","type":"Contact form"},{"url":"info@pangaea.de","name":"General Contact","type":"Support email"},{"url":"https://wiki.pangaea.de/wiki/Main_Page","name":"Help","type":"Help documentation"},{"url":"http://www.pangaea.de/tools/latest-datasets.rss","name":"RSS Feed","type":"Blog/News"}],"year_creation":1994,"data_versioning":"no","associated_tools":[{"url":"https://www.elastic.co/products/elasticsearch","name":"Elastic"},{"url":"http://www.panfmp.org","name":"PanFMP"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010134","name":"re3data:r3d100010134","portal":"re3data"}],"data_access_condition":{"url":"https://www.pangaea.de/about/","type":"open"},"resource_sustainability":{"url":"https://www.pangaea.de/about/continuity.php","name":"Continuity plan"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.pangaea.de/about/preservation.php","name":"Preservation plan"},"data_deposition_condition":{"url":"https://www.pangaea.de/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000633","bsg-d000633"],"name":"FAIRsharing record for: PANGAEA - Data Publisher for Earth and Environmental Science","abbreviation":"PANGAEA","url":"https://fairsharing.org/10.25504/FAIRsharing.6yw6cp","doi":"10.25504/FAIRsharing.6yw6cp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PANGAEA - Data Publisher for Earth \u0026 Environmental Sciences has an almost 30-year history as an open-access library for archiving, publishing, and disseminating georeferenced data from the Earth, environmental, and biodiversity sciences. Originally evolving from a database for sediment cores, it is operated as a joint facility of the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) and the Center for Marine Environmental Sciences (MARUM) at the University of Bremen. PANGAEA holds a mandate from the World Meteorological Organization (WMO) and is accredited as a World Radiation Monitoring Center (WRMC). It was further accredited as a World Data Center by the International Council for Science (ICS) in 2001 and has been certified with the Core Trust Seal since 2019. \nThe successful cooperation between PANGAEA and the publishing industry along with the correspondent technical implementation enables the cross-referencing of scientific publications and datasets archived as supplements to these publications. PANGAEA is the recommended data repository of numerous international scientific journals.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10985},{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12982}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Fisheries Science","Environmental Science","Paleontology","Geophysics","Chemistry","Ecology","Biodiversity","Earth Science","Atmospheric Science","Agriculture","Life Science","Freshwater Science","Oceanography","Biology"],"domains":["Marine environment"],"taxonomies":["All"],"user_defined_tags":["Paleoceanography"],"countries":["Germany"],"publications":[{"id":640,"pubmed_id":null,"title":"PANGAEA - an information system for environmental sciences","year":2002,"url":"http://doi.org/10.1016/S0098-3004(02)00039-0","authors":"Diepenbroek, M., Grobe, H., Reinke, M., Schindler, U., Schlitzer, R., Sieger, R., Wefer, G.","journal":"Computers \u0026 Geosciences","doi":"10.1016/S0098-3004(02)00039-0","created_at":"2021-09-30T08:23:30.451Z","updated_at":"2021-09-30T08:23:30.451Z"},{"id":3278,"pubmed_id":null,"title":"Terminology supported archiving and publication of environmental science data in PANGAEA","year":2017,"url":"http://dx.doi.org/10.1016/j.jbiotec.2017.07.016","authors":"Diepenbroek, Michael; Schindler, Uwe; Huber, Robert; Pesant, Stéphane; Stocker, Markus; Felden, Janine; Buss, Melanie; Weinrebe, Matthias; ","journal":"Journal of Biotechnology","doi":"10.1016/j.jbiotec.2017.07.016","created_at":"2022-03-26T09:19:50.492Z","updated_at":"2022-03-26T09:19:50.492Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2641,"relation":"applies_to_content"},{"licence_name":"Pangaea Terms of Use","licence_id":647,"licence_url":"https://www.pangaea.de/about/terms.php","link_id":1312,"relation":"undefined"}],"grants":[{"id":1838,"fairsharing_record_id":2161,"organisation_id":56,"relation":"maintains","created_at":"2021-09-30T09:25:22.350Z","updated_at":"2021-09-30T09:25:22.350Z","grant_id":null,"is_lead":true,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1839,"fairsharing_record_id":2161,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:22.386Z","updated_at":"2021-09-30T09:25:22.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1841,"fairsharing_record_id":2161,"organisation_id":427,"relation":"maintains","created_at":"2021-09-30T09:25:22.512Z","updated_at":"2021-09-30T09:25:22.512Z","grant_id":null,"is_lead":true,"saved_state":{"id":427,"name":"Center for Marine Environmental Sciences (MARUM), University of Bremen, Bremen, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1843,"fairsharing_record_id":2161,"organisation_id":1505,"relation":"funds","created_at":"2021-09-30T09:25:22.586Z","updated_at":"2021-09-30T09:25:22.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":1505,"name":"International Ocean Discovery Program (IODP), San Diego, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9338,"fairsharing_record_id":2161,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.475Z","updated_at":"2022-04-11T12:07:31.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9381,"fairsharing_record_id":2161,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:34.510Z","updated_at":"2022-04-11T12:07:34.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2162","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:34.348Z","metadata":{"doi":"10.25504/FAIRsharing.xd3wmy","name":"Environmental Data Initiative Data Portal","status":"ready","contacts":[{"contact_name":"Mark Servilla","contact_email":"mark.servilla@gmail.com","contact_orcid":"0000-0002-3192-7306"}],"homepage":"https://portal.edirepository.org/","citations":[],"identifier":2162,"description":"The Environmental Data Initiative is an NSF-funded project meant to accelerate curation and archive of environmental data. With mature repository functionality and data curators on staff it supports the large and varied community of environmental researchers. The repository is open to all environmental research data and hosts data that provide a context to evaluate the nature and pace of ecological change, to interpret its effects, and to forecast the range of future biological responses to change. DOIs are assigned making all datasets first class, citable research objects and strict version control allows for immutability while also supporting updates to long-term datasets.","abbreviation":"EDI Data Portal","data_curation":{"url":"https://edirepository.org/data/publish-data","type":"manual"},"support_links":[{"url":"https://environmentaldatainitiative.org/contact/","type":"Contact form"},{"url":"info@environmentaldatainitiative.org","type":"Support email"},{"url":"cgries@wisc.edu","name":"Corinna Gries","type":"Support email"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://portal.edirepository.org/nis/metadataPreviewer.jsp","name":"Metadata Previewer"},{"url":"https://github.com/EDIorg/EMLassemblyline","name":"Metadata editor EMLassemblyline in R 2.5.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010272","name":"re3data:r3d100010272","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://edirepository.org/data/publish-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000634","bsg-d000634"],"name":"FAIRsharing record for: Environmental Data Initiative Data Portal","abbreviation":"EDI Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.xd3wmy","doi":"10.25504/FAIRsharing.xd3wmy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Environmental Data Initiative is an NSF-funded project meant to accelerate curation and archive of environmental data. With mature repository functionality and data curators on staff it supports the large and varied community of environmental researchers. The repository is open to all environmental research data and hosts data that provide a context to evaluate the nature and pace of ecological change, to interpret its effects, and to forecast the range of future biological responses to change. DOIs are assigned making all datasets first class, citable research objects and strict version control allows for immutability while also supporting updates to long-term datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Plant Ecology","Environmental Science","Microbial Ecology","Zoology","Geophysics","Ecology","Natural Science","Earth Science","Atmospheric Science","Agriculture","Life Science","Microbiology","Oceanography","Biology","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["All"],"user_defined_tags":["Climate change"],"countries":["United States"],"publications":[{"id":2237,"pubmed_id":null,"title":"The contribution and reuse of LTER data in the Provenance Aware Synthesis Tracking Architecture (PASTA) data repository","year":2016,"url":"http://doi.org/https://doi.org/10.1016/j.ecoinf.2016.07.003","authors":"Mark Servilla. James Brunt. Duane Costa. Jeanine McGann. Robert Waide","journal":"Ecological Informatics","doi":"https://doi.org/10.1016/j.ecoinf.2016.07.003","created_at":"2021-09-30T08:26:32.088Z","updated_at":"2021-09-30T08:26:32.088Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":572,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":571,"relation":"undefined"}],"grants":[{"id":1844,"fairsharing_record_id":2162,"organisation_id":3106,"relation":"undefined","created_at":"2021-09-30T09:25:22.628Z","updated_at":"2021-09-30T09:25:22.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":3106,"name":"University of New Mexico","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":8036,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:33.254Z","updated_at":"2021-09-30T09:30:33.303Z","grant_id":762,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1931143","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1846,"fairsharing_record_id":2162,"organisation_id":3152,"relation":"undefined","created_at":"2021-09-30T09:25:22.703Z","updated_at":"2021-09-30T09:25:22.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":3152,"name":"University of Wisconsin-Madison","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":1845,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:22.666Z","updated_at":"2021-09-30T09:29:29.037Z","grant_id":265,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-1629233","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8078,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:48.638Z","updated_at":"2021-09-30T09:30:48.688Z","grant_id":881,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1931174","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8225,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:37.982Z","updated_at":"2021-09-30T09:31:38.034Z","grant_id":1258,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1565103","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2160","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:40.122Z","metadata":{"doi":"10.25504/FAIRsharing.fe48sc","name":"Moroccan Genetic Disease Database","status":"ready","contacts":[{"contact_name":"Hicham Charoute","contact_email":"hcharoute@hotmail.fr","contact_orcid":"0000-0002-9338-6744"}],"homepage":"http://mgdd.pasteur.ma/index.php","identifier":2160,"description":"The Moroccan Genetic Disease Database (MGDD) collect and document mutations and frequencies of polymorphisms reported in the Moroccan population. The information in the MGDD allow researchers and clinicians to find mutations associated to a given disease or gene of interest, and they can also find polymorphisms associated with susceptibility to a genetic disease or individual responses to pharmaceutical drugs or environmental factors.","abbreviation":"MGDD","data_curation":{"type":"not found"},"support_links":[{"url":"hamid.barakat@pasteur.ma","type":"Support email"},{"url":"http://mgdd.pasteur.ma/statistics.php","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://mgdd.pasteur.ma/submission.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000632","bsg-d000632"],"name":"FAIRsharing record for: Moroccan Genetic Disease Database","abbreviation":"MGDD","url":"https://fairsharing.org/10.25504/FAIRsharing.fe48sc","doi":"10.25504/FAIRsharing.fe48sc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Moroccan Genetic Disease Database (MGDD) collect and document mutations and frequencies of polymorphisms reported in the Moroccan population. The information in the MGDD allow researchers and clinicians to find mutations associated to a given disease or gene of interest, and they can also find polymorphisms associated with susceptibility to a genetic disease or individual responses to pharmaceutical drugs or environmental factors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Mutation","Genetic polymorphism","Genome-wide association study","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Morocco"],"publications":[{"id":639,"pubmed_id":23860041,"title":"The Moroccan Genetic Disease Database (MGDD): a database for DNA variations related to inherited disorders and disease susceptibility.","year":2013,"url":"http://doi.org/10.1038/ejhg.2013.151","authors":"Hicham Charoute, Halima Nahili, Omar Abidi, Khalid Gabi, Hassan Rouba, Malika Fakiri and Abdelhamid Barakat.","journal":"Eur J Hum Genet","doi":"10.1038/ejhg.2013.151","created_at":"2021-09-30T08:23:30.343Z","updated_at":"2021-09-30T08:23:30.343Z"}],"licence_links":[{"licence_name":"MIRTAR is free for academic and non-profit use","licence_id":516,"licence_url":"http://mirtarbase.mbc.nctu.edu.tw/cache/download/LICENSE","link_id":836,"relation":"undefined"}],"grants":[{"id":1837,"fairsharing_record_id":2160,"organisation_id":2293,"relation":"maintains","created_at":"2021-09-30T09:25:22.311Z","updated_at":"2021-09-30T09:25:22.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2293,"name":"Pasteur Institute of Morocco","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2156","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:07.768Z","metadata":{"doi":"10.25504/FAIRsharing.txkh36","name":"Database of Genomic Variants Archive","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"eva-helpdesk@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/dgva/","identifier":2156,"description":"The Database of Genomic Variants archive (DGVa) is a repository that provides archiving, accessioning and distribution of publicly available genomic structural variants, in all species.","abbreviation":"DGVa","data_curation":{"type":"not found"},"support_links":[{"url":"https://tess.elixir-europe.org/materials/dgva-quick-tour","name":"DGVa: Quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/dgva/dgva-quick-tour-ebi-train-online","name":"DGVa: Quick tour (EBI)","type":"Training documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010814","name":"re3data:r3d100010814","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004896","name":"SciCrunch:RRID:SCR_004896","portal":"SciCrunch"}],"deprecation_date":"2020-02-10","deprecation_reason":"This resource has been deprecated, with read-only access being available for a period of time.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000628","bsg-d000628"],"name":"FAIRsharing record for: Database of Genomic Variants Archive","abbreviation":"DGVa","url":"https://fairsharing.org/10.25504/FAIRsharing.txkh36","doi":"10.25504/FAIRsharing.txkh36","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Genomic Variants archive (DGVa) is a repository that provides archiving, accessioning and distribution of publicly available genomic structural variants, in all species.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10983}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics"],"domains":["Genetic polymorphism","Curated information","Structure","Sequence variant"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":616,"relation":"undefined"}],"grants":[{"id":1825,"fairsharing_record_id":2156,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:21.906Z","updated_at":"2021-09-30T09:25:21.906Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1826,"fairsharing_record_id":2156,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:21.939Z","updated_at":"2021-09-30T09:25:21.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2165","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:42.094Z","metadata":{"doi":"10.25504/FAIRsharing.8njqwk","name":"Candidate Cancer Gene Database","status":"ready","contacts":[{"contact_name":"Tim Starr","contact_email":"star0044@umn.edu","contact_orcid":"0000-0002-6308-3451"}],"homepage":"http://ccgd-starrlab.oit.umn.edu/","identifier":2165,"description":"The Candidate Cancer Gene Database (CCGD) was developed to disseminate the results of transposon-based forward genetic screens in mice that identify candidate cancer genes. The purpose of the database is to allow cancer researchers to quickly determine whether or not a gene, or list of genes, has been identified as a potential cancer driver in a forward genetic screen in mice.","abbreviation":"CCGD","data_curation":{"url":"http://ccgd-starrlab.oit.umn.edu/help.html","type":"manual"},"support_links":[{"url":"ccgd@umn.edu","type":"Support email"},{"url":"http://ccgd-starrlab.oit.umn.edu/tutorial.php","type":"Help documentation"},{"url":"http://ccgd-starrlab.oit.umn.edu/help.php","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://ccgd-starrlab.oit.umn.edu/help.html","type":"open","notes":"Information and publication citation should be sent to ccgd@umn.edu."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000637","bsg-d000637"],"name":"FAIRsharing record for: Candidate Cancer Gene Database","abbreviation":"CCGD","url":"https://fairsharing.org/10.25504/FAIRsharing.8njqwk","doi":"10.25504/FAIRsharing.8njqwk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Candidate Cancer Gene Database (CCGD) was developed to disseminate the results of transposon-based forward genetic screens in mice that identify candidate cancer genes. The purpose of the database is to allow cancer researchers to quickly determine whether or not a gene, or list of genes, has been identified as a potential cancer driver in a forward genetic screen in mice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Cancer","Transposable element","Gene"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1068,"pubmed_id":25190456,"title":"The Candidate Cancer Gene Database: a database of cancer driver genes from forward genetic screens in mice.","year":2014,"url":"http://doi.org/10.1093/nar/gku770","authors":"Abbott KL,Nyre ET,Abrahante J,Ho YY,Isaksson Vogel R,Starr TK","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku770","created_at":"2021-09-30T08:24:18.273Z","updated_at":"2021-09-30T11:28:57.893Z"}],"licence_links":[],"grants":[{"id":8034,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:32.393Z","updated_at":"2021-09-30T09:30:32.432Z","grant_id":755,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54-MD008620","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1849,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:25:22.811Z","updated_at":"2021-09-30T09:25:22.811Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1850,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:22.846Z","updated_at":"2021-09-30T09:28:53.684Z","grant_id":4,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"UL1TR000114","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7888,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:26.514Z","updated_at":"2021-09-30T09:29:26.564Z","grant_id":252,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U19CA157345-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7908,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:38.900Z","updated_at":"2021-09-30T09:29:38.952Z","grant_id":342,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P50CA101955","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8052,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:39.586Z","updated_at":"2021-09-30T09:30:39.630Z","grant_id":811,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P30-CA77598","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8127,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:06.304Z","updated_at":"2021-09-30T09:31:06.355Z","grant_id":1019,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5R00CA151672","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2166","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T14:09:22.914Z","metadata":{"doi":"10.25504/FAIRsharing.rhpjhv","name":"FlyMine","status":"ready","contacts":[{"contact_name":"FlyMine help desk","contact_email":"info@flymine.org"}],"homepage":"https://www.flymine.org","citations":[{"doi":"10.1186/gb-2007-8-7-r129","pubmed_id":17615057,"publication_id":1945}],"identifier":2166,"description":"FlyMine is an integrated database of genomic, expression and protein data for Drosophila, Anopheles and C. elegans. Its main focus is genomic and proteomics data for Drosophila and other insects. It provides access to integrated data at a number of different levels, from browsing to construction of complex queries, which can be executed on either single items or lists.","abbreviation":"FlyMine","data_curation":{"type":"not found"},"support_links":[{"url":"https://intermineorg.wordpress.com/","name":"InterMine blog","type":"Blog/News"},{"url":"https://intermineorg.wordpress.com/flymine/help/","name":"FlyMine Help","type":"Help documentation"},{"url":"https://intermineorg.wordpress.com/flymine/about/","name":"About FlyMine","type":"Help documentation"},{"url":"http://www.flymine.org/flymine/dataCategories.do","name":"Data Sources","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/flymine-intro-videos","name":"FlyMine intro videos","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2002,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000638","bsg-d000638"],"name":"FAIRsharing record for: FlyMine","abbreviation":"FlyMine","url":"https://fairsharing.org/10.25504/FAIRsharing.rhpjhv","doi":"10.25504/FAIRsharing.rhpjhv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FlyMine is an integrated database of genomic, expression and protein data for Drosophila, Anopheles and C. elegans. Its main focus is genomic and proteomics data for Drosophila and other insects. It provides access to integrated data at a number of different levels, from browsing to construction of complex queries, which can be executed on either single items or lists.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11537},{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11671}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Biology"],"domains":["Expression data","Protein interaction","Gene expression","Protein","Gene","Genome"],"taxonomies":["Anopheles gambiae","Caenorhabditis elegans","Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1945,"pubmed_id":17615057,"title":"FlyMine: an integrated database for Drosophila and Anopheles genomics.","year":2007,"url":"http://doi.org/10.1186/gb-2007-8-7-r129","authors":"Lyne R,Smith R,Rutherford K,Wakeling M,Varley A,Guillier F,Janssens H,Ji W,Mclaren P,North P,Rana D,Riley T,Sullivan J,Watkins X,Woodbridge M,Lilley K,Russell S,Ashburner M,Mizuguchi K,Micklem G","journal":"Genome Biol","doi":"10.1186/gb-2007-8-7-r129","created_at":"2021-09-30T08:25:58.864Z","updated_at":"2021-09-30T08:25:58.864Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":528,"relation":"undefined"}],"grants":[{"id":1851,"fairsharing_record_id":2166,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:22.873Z","updated_at":"2021-09-30T09:25:22.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1853,"fairsharing_record_id":2166,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:22.940Z","updated_at":"2021-09-30T09:25:22.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1852,"fairsharing_record_id":2166,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:25:22.897Z","updated_at":"2021-09-30T09:25:22.897Z","grant_id":null,"is_lead":true,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2167","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:19:57.448Z","metadata":{"doi":"10.25504/FAIRsharing.22z3re","name":"MouseMine @ MGI","status":"ready","contacts":[{"contact_name":"MouseMine support","contact_email":"support@mousemine.org"}],"homepage":"https://www.mousemine.org/mousemine/begin.do","citations":[{"doi":"10.1007/s00335-015-9573-z","pubmed_id":26092688,"publication_id":1361}],"identifier":2167,"description":"A database of integrated mouse data from MGI, powered by InterMine. MouseMine is member of InterMOD, a consortium of model organism databases dedicated to making cross-species data analysis easier through ongoing coordination and collaborative system development.","abbreviation":"MouseMine","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgkaa1083","type":"manual/automated"},"support_links":[{"url":"https://tess.elixir-europe.org/materials/mousemine-at-mgi","name":"MouseMine at MGI","type":"Help documentation"},{"url":"http://www.mousemine.org/mousemine/dataCategories.do","name":"Data Categories","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://proto.informatics.jax.org/prototypes/mgv/","name":"Multiple Genome Viewer"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.informatics.jax.org/submit.shtml","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000639","bsg-d000639"],"name":"FAIRsharing record for: MouseMine @ MGI","abbreviation":"MouseMine","url":"https://fairsharing.org/10.25504/FAIRsharing.22z3re","doi":"10.25504/FAIRsharing.22z3re","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database of integrated mouse data from MGI, powered by InterMine. MouseMine is member of InterMOD, a consortium of model organism databases dedicated to making cross-species data analysis easier through ongoing coordination and collaborative system development.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11672}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Expression data","Model organism","Disease process modeling","Phenotype","Disease","Genome"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1361,"pubmed_id":26092688,"title":"MouseMine: a new data warehouse for MGI.","year":2015,"url":"http://doi.org/10.1007/s00335-015-9573-z","authors":"Motenko H,Neuhauser SB,O'Keefe M,Richardson JE","journal":"Mamm Genome","doi":"10.1007/s00335-015-9573-z","created_at":"2021-09-30T08:24:52.193Z","updated_at":"2021-09-30T08:24:52.193Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":696,"relation":"undefined"}],"grants":[{"id":1855,"fairsharing_record_id":2167,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:22.989Z","updated_at":"2021-09-30T09:29:42.379Z","grant_id":367,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG004834","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1854,"fairsharing_record_id":2167,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:25:22.964Z","updated_at":"2021-09-30T09:25:22.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1856,"fairsharing_record_id":2167,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:23.019Z","updated_at":"2021-09-30T09:25:23.019Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2168","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:24.466Z","metadata":{"doi":"10.25504/FAIRsharing.1nshwd","name":"Open Source Brain","status":"ready","contacts":[{"contact_name":"Padraig Gleeson","contact_email":"p.gleeson@ucl.ac.uk","contact_orcid":"0000-0001-5963-8576"}],"homepage":"http://www.opensourcebrain.org","citations":[],"identifier":2168,"description":"Open Source Brain is a resource for sharing and collaboratively developing computational models of neural systems.","abbreviation":"OSB","data_curation":{"url":"https://docs.opensourcebrain.org/General/FAQ.html","type":"manual"},"support_links":[{"url":"https://groups.google.com/forum/#!forum/osb-discuss","type":"Mailing list"},{"url":"https://twitter.com/osbteam","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://docs.opensourcebrain.org/General/FAQ.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000640","bsg-d000640"],"name":"FAIRsharing record for: Open Source Brain","abbreviation":"OSB","url":"https://fairsharing.org/10.25504/FAIRsharing.1nshwd","doi":"10.25504/FAIRsharing.1nshwd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Source Brain is a resource for sharing and collaboratively developing computational models of neural systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Life Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":1857,"fairsharing_record_id":2168,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:23.069Z","updated_at":"2021-09-30T09:25:23.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2176","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-26T10:02:03.762Z","metadata":{"doi":"10.25504/FAIRsharing.jwra3e","name":"MobiDB","status":"ready","contacts":[{"contact_name":"Silvio C.E. Tosatto","contact_email":"silvio.tosatto@unipd.it","contact_orcid":"0000-0003-4525-7793"}],"homepage":"https://mobidb.org/","citations":[{"doi":"10.1093/nar/gkaa1058","pubmed_id":33237329,"publication_id":2019}],"identifier":2176,"description":"MobiDB is a database of intrinsically disordered regions (IDRs) and related features from various sources and prediction tools. Different levels of reliability and different features are reported as different and independent annotations. The database features three levels of annotation: manually curated, indirect and predicted. MobiDB annotates the binding modes of disordered proteins, whether they undergo disorder-to-order transitions or remain disordered in the bound state. In addition, disordered regions undergoing liquid-liquid phase separation or post-translational modifications are defined.","abbreviation":"MobiDB","data_curation":{"type":"automated"},"support_links":[{"url":"MobiDB@ngp-net.bio.unipd.it","name":"General Contact","type":"Support email"},{"url":"https://mobidb.org/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://mobidb.org/about","name":"About MobiDB","type":"Help documentation"},{"url":"https://mobidb.org/releaseNotes","name":"Release Notes","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/MobiDB","name":"MobiDB Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"https://github.com/BioComputingUP/MobiDB-lite","name":"MobiDB-lite"},{"url":"https://github.com/BioComputingUP/FLIPPER","name":"FLIPPER"},{"url":"https://ring.biocomputingup.it/","name":"RING"},{"url":"https://github.com/BioComputingUP/AlphaFold-disorder","name":"AlphaFold-disorder"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Data drawn from other repositories"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000649","bsg-d000649"],"name":"FAIRsharing record for: MobiDB","abbreviation":"MobiDB","url":"https://fairsharing.org/10.25504/FAIRsharing.jwra3e","doi":"10.25504/FAIRsharing.jwra3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MobiDB is a database of intrinsically disordered regions (IDRs) and related features from various sources and prediction tools. Different levels of reliability and different features are reported as different and independent annotations. The database features three levels of annotation: manually curated, indirect and predicted. MobiDB annotates the binding modes of disordered proteins, whether they undergo disorder-to-order transitions or remain disordered in the bound state. In addition, disordered regions undergoing liquid-liquid phase separation or post-translational modifications are defined.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11538}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Biology"],"domains":["Molecular structure","Binding","Post-translational protein modification","Curated information","Intrinsically disordered proteins","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":241,"pubmed_id":29136219,"title":"MobiDB 3.0: More annotations for intrinsic disorder, conformational diversity and interactions in proteins","year":2017,"url":"https://doi.org/10.1093/nar/gkx1071","authors":"Piovesan, D, Tabaro, F, Paladin, F, Necci, M, Mičetić, I, Camilloni, C, Davey, N, Dosztanyi, Z, Meszaros, B, Monzon, A, Parisi, G, Schad, E, Sormanni, P, Tompa, P, Vendruscolo, M, Vranken, W, Tosatto, SCE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1071","created_at":"2021-09-30T08:22:46.041Z","updated_at":"2021-09-30T11:28:29.062Z"},{"id":685,"pubmed_id":22661649,"title":"MobiDB: a comprehensive database of intrinsic protein disorder annotations.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts327","authors":"Di Domenico T, Walsh I, Martin AJ, Tosatto SC.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts327","created_at":"2021-09-30T08:23:35.504Z","updated_at":"2021-09-30T08:23:35.504Z"},{"id":688,"pubmed_id":25361972,"title":"MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins.","year":2014,"url":"http://doi.org/10.1093/nar/gku982","authors":"Emilio Potenza, Tomás Di Domenico, Ian Walsh, and Silvio C.E. Tosatto","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku982","created_at":"2021-09-30T08:23:35.836Z","updated_at":"2021-09-30T08:23:35.836Z"},{"id":2019,"pubmed_id":33237329,"title":"MobiDB: intrinsically disordered proteins in 2021.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1058","authors":"Piovesan D,Necci M,Escobedo N,Monzon AM,Hatos A,Micetic I,Quaglia F,Paladin L,Ramasamy P,Dosztanyi Z,Vranken WF,Davey NE,Parisi G,Fuxreiter M,Tosatto SCE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1058","created_at":"2021-09-30T08:26:07.452Z","updated_at":"2021-09-30T11:29:25.835Z"},{"id":4295,"pubmed_id":36416266,"title":"MobiDB: 10 years of intrinsically disordered proteins.","year":2023,"url":"https://doi.org/10.1093/nar/gkac1065","authors":"Piovesan D, Del Conte A, Clementel D, Monzon AM, Bevilacqua M, Aspromonte MC, Iserte JA, Orti FE, Marino-Buslje C, Tosatto SCE","journal":"Nucleic acids research","doi":"10.1093/nar/gkac1065","created_at":"2024-06-24T10:55:28.874Z","updated_at":"2024-06-24T10:55:28.874Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":482,"relation":"undefined"}],"grants":[{"id":9563,"fairsharing_record_id":2176,"organisation_id":844,"relation":"associated_with","created_at":"2022-05-26T13:29:36.282Z","updated_at":"2022-05-26T13:29:36.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":1880,"fairsharing_record_id":2176,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:23.901Z","updated_at":"2021-09-30T09:25:23.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1881,"fairsharing_record_id":2176,"organisation_id":3001,"relation":"maintains","created_at":"2021-09-30T09:25:23.932Z","updated_at":"2021-09-30T09:25:23.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":3001,"name":"University di Padova, Padova, Italy","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZTQ9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ec88f67f5dcd1730dbfa282ddd5b8c4b35ec4b5f/MobiDB_logo_(vector).png?disposition=inline","exhaustive_licences":false}},{"id":"2177","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-26T09:50:56.205Z","metadata":{"doi":"10.25504/FAIRsharing.pxnqyt","name":"RepeatsDB","status":"ready","contacts":[{"contact_name":"Silvio C.E. Tosatto","contact_email":"silvio.tosatto@unipd.it","contact_orcid":"0000-0003-4525-7793"}],"homepage":"https://repeatsdb.org/","citations":[],"identifier":2177,"description":"RepeatsDB (https://repeatsdb.org/) is a database of annotated tandem repeat protein structures. Tandem repeats pose a difficult problem for the analysis of protein structures, as the underlying sequence can be highly degenerate. Several repeat types haven been studied over the years, but their annotation was done in a case-by-case basis, thus making large-scale analysis difficult. We developed RepeatsDB to fill this gap. Using state-of-the-art repeat detection methods and manual curation, we systematically annotated the Protein Data Bank, predicting 10 745 repeat structures. In all, 2797 structures were classified according to a recently proposed classification schema, which was expanded to accommodate new findings. In addition, detailed annotations were performed in a subset of 321 proteins. These annotations feature information on start and end positions for the repeat regions and units. RepeatsDB is an ongoing effort to systematically classify and annotate structural protein repeats in a consistent way. It provides users with the possibility to access and download high-quality datasets either interactively or programmatically through web services.","abbreviation":"RepeatsDB","data_curation":{"url":"https://repeatsdb.org/about","type":"manual/automated","notes":"RepeatsDB features annotations for tandem repeat proteins."},"support_links":[{"url":"repeatsdb@ngp-net.bio.unipd.it","name":"","type":"Support email"},{"url":"https://repeatsdb.org/help","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"url":"https://repeatsdb.org/help","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000650","bsg-d000650"],"name":"FAIRsharing record for: RepeatsDB","abbreviation":"RepeatsDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pxnqyt","doi":"10.25504/FAIRsharing.pxnqyt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RepeatsDB (https://repeatsdb.org/) is a database of annotated tandem repeat protein structures. Tandem repeats pose a difficult problem for the analysis of protein structures, as the underlying sequence can be highly degenerate. Several repeat types haven been studied over the years, but their annotation was done in a case-by-case basis, thus making large-scale analysis difficult. We developed RepeatsDB to fill this gap. Using state-of-the-art repeat detection methods and manual curation, we systematically annotated the Protein Data Bank, predicting 10 745 repeat structures. In all, 2797 structures were classified according to a recently proposed classification schema, which was expanded to accommodate new findings. In addition, detailed annotations were performed in a subset of 321 proteins. These annotations feature information on start and end positions for the repeat regions and units. RepeatsDB is an ongoing effort to systematically classify and annotate structural protein repeats in a consistent way. It provides users with the possibility to access and download high-quality datasets either interactively or programmatically through web services.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Tandem repeat"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":686,"pubmed_id":24311564,"title":"RepeatsDB: a database of tandem repeat protein structures","year":2013,"url":"http://doi.org/10.1093/nar/gkt1175","authors":"Di Domenico T, Potenza E, Walsh I, Parra RG, Giollo M, Minervini G, Piovesan D, Ihsan A, Ferrari C, Kajava AV, Tosatto SC.","journal":"Nucleic Acids Research","doi":"doi:10.1093/nar/gkt1175","created_at":"2021-09-30T08:23:35.611Z","updated_at":"2021-09-30T08:23:35.611Z"},{"id":4298,"pubmed_id":33237313,"title":"RepeatsDB in 2021: improved data and extended classification for protein tandem repeat structures.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa1097","authors":"Paladin L, Bevilacqua M, Errigo S, Piovesan D, Mičetić I, Necci M, Monzon AM, Fabre ML, Lopez JL, Nilsson JF, Rios J, Menna PL, Cabrera M, Buitron MG, Kulik MG, Fernandez-Alberti S, Fornasari MS, Parisi G, Lagares A, Hirsh L, Andrade-Navarro MA, Kajava AV, Tosatto SCE","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa1097","created_at":"2024-06-24T11:26:19.914Z","updated_at":"2024-06-24T11:26:19.914Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":852,"relation":"undefined"}],"grants":[{"id":1882,"fairsharing_record_id":2177,"organisation_id":224,"relation":"maintains","created_at":"2021-09-30T09:25:23.970Z","updated_at":"2021-09-30T09:25:23.970Z","grant_id":null,"is_lead":false,"saved_state":{"id":224,"name":"BioComputing laboratory, University of Padua, Italy","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1883,"fairsharing_record_id":2177,"organisation_id":2657,"relation":"maintains","created_at":"2021-09-30T09:25:24.013Z","updated_at":"2021-09-30T09:25:24.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":2657,"name":"Structural Bioinformatics and Molecular Modelling Group, CRBM, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1884,"fairsharing_record_id":2177,"organisation_id":1361,"relation":"maintains","created_at":"2021-09-30T09:25:24.051Z","updated_at":"2021-09-30T09:25:24.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":1361,"name":"Institue of Molecular Biology, gGmbH, Mainz, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbmtFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--fa3ca5860484c14ec656b66520f35a81be329a05/rdb_v3.png?disposition=inline","exhaustive_licences":false}},{"id":"2179","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:36.631Z","metadata":{"doi":"10.25504/FAIRsharing.yk1krv","name":"Eukaryotic Promoter Database","status":"ready","contacts":[{"contact_name":"Philipp Bucher","contact_email":"ask-epd@googlegroups.com","contact_orcid":"0000-0003-4824-885X"}],"homepage":"https://epd.expasy.org","citations":[],"identifier":2179,"description":"The Eukaryotic Promoter Database (EPD) provides accurate transcription start site (TSS) information for promoters of 15 model organisms, from human to yeast to the malaria parasite Plasmodium falciparum. While the original database was a manually curated database based on published experiments, new promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources. Corresponding functional genomics data can be viewed in a genome browser, queried or analyzed via web interfaces, or exported in standard formats like FASTA or BED for subsequent analysis with other tools; of note, EPD is tightly integrated with two tool suites developed by our group: ChIP-Seq and Signal Search Analysis, for analysis of chromatin context and sequence motif respectively. EPD provides promoter viewers, designed with the aim of integrating and displaying information from different sources about, for instance, histone marks, transcription factor-binding sites or SNPs with known phenotypes. These viewers rely upon the UCSC genome browser as a visualization platform, which enables users to view data tracks from EPD jointly with tracks from UCSC or public track hubs.","abbreviation":"EPD","data_curation":{"type":"automated","notes":"New promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources."},"support_links":[{"url":"https://epd.expasy.org/webmail.php","type":"Contact form"},{"url":"https://epd.expasy.org/epd/documents.php","type":"Help documentation"},{"url":"https://twitter.com/EPD_SIB","name":"@EPD_SIB","type":"Twitter"}],"year_creation":1988,"data_versioning":"no","associated_tools":[{"url":"https://epd.expasy.org/ssa/","name":"Signal Search Analysis 2.0"},{"url":"https://epd.expasy.org/chipseq/","name":"ChIP-Seq 1.3"},{"url":"https://epd.expasy.org/epd/EPDnew_study.php","name":"EPDnew analysis tool"},{"url":"https://www.expasy.org/genomics","name":"ExPASy Tools"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000653","bsg-d000653"],"name":"FAIRsharing record for: Eukaryotic Promoter Database","abbreviation":"EPD","url":"https://fairsharing.org/10.25504/FAIRsharing.yk1krv","doi":"10.25504/FAIRsharing.yk1krv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Eukaryotic Promoter Database (EPD) provides accurate transcription start site (TSS) information for promoters of 15 model organisms, from human to yeast to the malaria parasite Plasmodium falciparum. While the original database was a manually curated database based on published experiments, new promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources. Corresponding functional genomics data can be viewed in a genome browser, queried or analyzed via web interfaces, or exported in standard formats like FASTA or BED for subsequent analysis with other tools; of note, EPD is tightly integrated with two tool suites developed by our group: ChIP-Seq and Signal Search Analysis, for analysis of chromatin context and sequence motif respectively. EPD provides promoter viewers, designed with the aim of integrating and displaying information from different sources about, for instance, histone marks, transcription factor-binding sites or SNPs with known phenotypes. These viewers rely upon the UCSC genome browser as a visualization platform, which enables users to view data tracks from EPD jointly with tracks from UCSC or public track hubs.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11364},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12174}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["DNA sequence data","Transcription factor","Promoter"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":205,"pubmed_id":9399872,"title":"The Eukaryotic Promoter Database EPD.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.353","authors":"Cavin Périer R, Junier T, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/26.1.353","created_at":"2021-09-30T08:22:42.347Z","updated_at":"2021-09-30T08:22:42.347Z"},{"id":681,"pubmed_id":10592254,"title":"The eukaryotic promoter database (EPD).","year":1999,"url":"http://doi.org/10.1093/nar/28.1.302","authors":"Périer RC, Praz V, Junier T, Bonnard C, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/28.1.302","created_at":"2021-09-30T08:23:35.044Z","updated_at":"2021-09-30T08:23:35.044Z"},{"id":683,"pubmed_id":9847211,"title":"The Eukaryotic Promoter Database (EPD): recent developments.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.307","authors":"Périer RC, Junier T, Bonnard C, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/27.1.307","created_at":"2021-09-30T08:23:35.294Z","updated_at":"2021-09-30T08:23:35.294Z"},{"id":1428,"pubmed_id":3808945,"title":"Compilation and analysis of eukaryotic POL II promoter sequences","year":1986,"url":"http://doi.org/10.1093/nar/14.24.10009","authors":"Bucher,P. and Trifonov,E.N.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/14.24.10009","created_at":"2021-09-30T08:24:59.693Z","updated_at":"2021-09-30T08:24:59.693Z"},{"id":1429,"pubmed_id":25378343,"title":"The Eukaryotic Promoter Database: expansion of EPDnew and new promoter analysis tools.","year":2014,"url":"http://doi.org/10.1093/nar/gku1111","authors":"Dreos, R., Ambrosini, G., Périer, R., Bucher, P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gku1111","created_at":"2021-09-30T08:24:59.802Z","updated_at":"2021-09-30T08:24:59.802Z"},{"id":2554,"pubmed_id":23193273,"title":"EPD and EPDnew, high-quality promoter resources in the next-generation sequencing era.","year":2012,"url":"http://doi.org/10.1093/nar/gks1233","authors":"Dreos R, Ambrosini G, Cavin Périer R, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gks1233","created_at":"2021-09-30T08:27:13.233Z","updated_at":"2021-09-30T08:27:13.233Z"},{"id":2555,"pubmed_id":16381980,"title":"EPD in its twentieth year: towards complete promoter coverage of selected model organisms.","year":2005,"url":"http://doi.org/10.1093/nar/gkj146","authors":"Schmid CD, Perier R, Praz V, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gkj146","created_at":"2021-09-30T08:27:13.343Z","updated_at":"2021-09-30T08:27:13.343Z"},{"id":2557,"pubmed_id":14681364,"title":"The Eukaryotic Promoter Database EPD: the impact of in silico primer extension.","year":2003,"url":"http://doi.org/10.1093/nar/gkh122","authors":"Schmid CD, Praz V, Delorenzi M, Périer R, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gkh122","created_at":"2021-09-30T08:27:13.678Z","updated_at":"2021-09-30T08:27:13.678Z"},{"id":2559,"pubmed_id":11752326,"title":"The Eukaryotic Promoter Database, EPD: new entry types and links to gene expression data.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.322","authors":"Praz V, Périer R, Bonnard C, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/30.1.322","created_at":"2021-09-30T08:27:13.894Z","updated_at":"2021-09-30T08:27:13.894Z"},{"id":3502,"pubmed_id":27899657,"title":"The eukaryotic promoter database in its 30th year: focus on non-vertebrate organisms.","year":2017,"url":"https://doi.org/10.1093/nar/gkw1069","authors":"Dreos R, Ambrosini G, Groux R, Cavin Périer R, Bucher P","journal":"Nucleic acids research","doi":"10.1093/nar/gkw1069","created_at":"2022-08-02T07:52:26.774Z","updated_at":"2022-08-02T07:52:26.774Z"}],"licence_links":[],"grants":[{"id":1890,"fairsharing_record_id":2179,"organisation_id":2680,"relation":"funds","created_at":"2021-09-30T09:25:24.281Z","updated_at":"2021-09-30T09:29:22.819Z","grant_id":221,"is_lead":false,"saved_state":{"id":2680,"name":"Federal Statistical Office","grant":"95.0236-1","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1889,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:25:24.258Z","updated_at":"2021-09-30T09:30:56.030Z","grant_id":940,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"31003A_125193","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1888,"fairsharing_record_id":2179,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:24.225Z","updated_at":"2022-08-02T07:50:56.567Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8158,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:31:15.623Z","updated_at":"2021-09-30T09:31:15.683Z","grant_id":1091,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"31-063933","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8194,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:31:26.914Z","updated_at":"2021-09-30T09:31:26.962Z","grant_id":1173,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"31-54782.98","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8265,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:31:49.690Z","updated_at":"2021-09-30T09:31:49.746Z","grant_id":1345,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"3100A0-104248","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbTRCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--2bb2563b5fffe908d33560e31bf9e6885ac40441/Screenshot%20from%202022-08-02%2008-47-48.png?disposition=inline","exhaustive_licences":false}},{"id":"2180","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:57.777Z","metadata":{"doi":"10.25504/FAIRsharing.zvh04m","name":"Alternative Poly(A) Sites database 2.0","status":"ready","contacts":[{"contact_name":"Leiming You","contact_email":"youleiming@126.com","contact_orcid":"0000-0002-8120-8916"},{"contact_name":"Leiming You","contact_email":"youleiming@bucm.edu.cn","contact_orcid":"0000-0002-8120-8916"}],"homepage":"http://genome.bucm.edu.cn/utr/","citations":[{"doi":"10.1093/nar/gku1076","pubmed_id":25378337,"publication_id":693}],"identifier":2180,"description":"APASdb provides information on Alternative Poly(A) (APA) isoforms for all genes. It describes heterogeneous cleavage sites downstream of poly(A) signals, and maintains near complete coverage for APA sites. APASdb provides the quantification of a given APA variant among transcripts with different APA sites by computing their corresponding normalized-reads. In addition, APASdb supports URL-based retrieval, browsing and display of exon-intron structure, poly(A) signals, poly(A) sites location and usage reads, and 3'-untranslated regions (3'-UTRs). Currently, APASdb involves APA in various biological processes and diseases in human, mouse and zebrafish.","abbreviation":"APASdb 2.0","data_curation":{"url":"https://doi.org/10.1093/nar/gku1076","type":"automated","notes":"Automated annotation of experimental data"},"support_links":[{"url":"http://genome.bucm.edu.cn/utr/mail.php","name":"Contact us","type":"Contact form"},{"url":"http://genome.bucm.edu.cn/utr/APASdbs_help.php","name":"Help Page","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://academic.oup.com/nar/article/43/D1/D59/2437386#87007188","type":"not applicable","notes":"Data is from the owning project only"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000654","bsg-d000654"],"name":"FAIRsharing record for: Alternative Poly(A) Sites database 2.0","abbreviation":"APASdb 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.zvh04m","doi":"10.25504/FAIRsharing.zvh04m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: APASdb provides information on Alternative Poly(A) (APA) isoforms for all genes. It describes heterogeneous cleavage sites downstream of poly(A) signals, and maintains near complete coverage for APA sites. APASdb provides the quantification of a given APA variant among transcripts with different APA sites by computing their corresponding normalized-reads. In addition, APASdb supports URL-based retrieval, browsing and display of exon-intron structure, poly(A) signals, poly(A) sites location and usage reads, and 3'-untranslated regions (3'-UTRs). Currently, APASdb involves APA in various biological processes and diseases in human, mouse and zebrafish.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenetics","Life Science"],"domains":["DNA sequence data","RNA modification","Regulation of gene expression","RNA polyadenylation","Untranslated region"],"taxonomies":["Branchiostoma floridae","Branchiostoma lanceolatum","Danio rerio","Homo sapiens","Mus musculus","Branchiostoma belcheri"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":693,"pubmed_id":25378337,"title":"APASdb: a database describing alternative poly(A) sites and selection of heterogeneous cleavage sites downstream of poly(A) signals.","year":2014,"url":"http://doi.org/10.1093/nar/gku1076","authors":"You L, Wu J, Feng Y, Fu Y, Guo Y, Long L, Zhang H, Luan Y, Tian P, Chen L, Huang G, Huang S, Li Y, Li J, Chen C, Zhang Y, Chen S, Xu A","journal":"Nucleic Acid Research","doi":"10.1093/nar/gku1076","created_at":"2021-09-30T08:23:36.378Z","updated_at":"2021-09-30T08:23:36.378Z"}],"licence_links":[],"grants":[{"id":1891,"fairsharing_record_id":2180,"organisation_id":194,"relation":"maintains","created_at":"2021-09-30T09:25:24.306Z","updated_at":"2023-04-04T06:21:14.217Z","grant_id":null,"is_lead":true,"saved_state":{"id":194,"name":"Beijing University of Chinese Medicine, China","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":1892,"fairsharing_record_id":2180,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:25:24.331Z","updated_at":"2021-09-30T09:29:01.408Z","grant_id":59,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2013CB835304","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7883,"fairsharing_record_id":2180,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:24.200Z","updated_at":"2021-09-30T09:29:24.249Z","grant_id":233,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2011CB946101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8375,"fairsharing_record_id":2180,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:20.017Z","updated_at":"2021-09-30T09:32:20.069Z","grant_id":1571,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2013CB917800","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbjBDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b4acee4909db1558846bbb53a35f7504ea33be06/APASdb_3UTR_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2169","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-12-06T10:49:21.166Z","metadata":{"doi":"10.25504/FAIRsharing.vszknv","name":"Nuclear Receptor Signaling Atlas","status":"deprecated","contacts":[{"contact_name":"Neil McKenna","contact_email":"nmckenna@bcm.edu","contact_orcid":"0000-0001-6689-0104"}],"homepage":"http://www.nursa.org","identifier":2169,"description":"The mission of NURSA is to accrue, develop, and communicate information that advances our understanding of the roles of nuclear receptors (NRs) and coregulators in human physiology and disease.","abbreviation":"NURSA","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NURSATweets","type":"Twitter"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://www.nursa.org/transcriptomine","name":"Transcriptomine 1.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011298","name":"re3data:r3d100011298","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003287","name":"SciCrunch:RRID:SCR_003287","portal":"SciCrunch"}],"deprecation_date":"2019-11-01","deprecation_reason":"This resource has been retired.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000641","bsg-d000641"],"name":"FAIRsharing record for: Nuclear Receptor Signaling Atlas","abbreviation":"NURSA","url":"https://fairsharing.org/10.25504/FAIRsharing.vszknv","doi":"10.25504/FAIRsharing.vszknv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mission of NURSA is to accrue, develop, and communicate information that advances our understanding of the roles of nuclear receptors (NRs) and coregulators in human physiology and disease.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10802},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11105}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Transcriptomics","Cell Biology","Biomedical Science"],"domains":["Expression data","Nuclear receptor","Disease"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":653,"pubmed_id":19423650,"title":"Minireview: Evolution of NURSA, the Nuclear Receptor Signaling Atlas.","year":2009,"url":"http://doi.org/10.1210/me.2009-0135","authors":"McKenna NJ, Cooney AJ, DeMayo FJ, Downes M, Glass CK, Lanz RB, Lazar MA, Mangelsdorf DJ, Moore DD, Qin J, Steffen DL, Tsai MJ, Tsai SY, Yu R, Margolis RN, Evans RM, O'Malley BW.","journal":"Molecular Endocrinology","doi":"10.1210/me.2009-0135","created_at":"2021-09-30T08:23:32.035Z","updated_at":"2021-09-30T08:23:32.035Z"},{"id":697,"pubmed_id":16381851,"title":"Nuclear Receptor Signaling Atlas (www.nursa.org): hyperlinking the nuclear receptor signaling community.","year":2005,"url":"http://doi.org/10.1093/nar/gkj029","authors":"Lanz RB., Jericevic Z., Zuercher WJ., Watkins C., Steffen DL., Margolis R., McKenna NJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj029","created_at":"2021-09-30T08:23:36.870Z","updated_at":"2021-09-30T08:23:36.870Z"}],"licence_links":[],"grants":[{"id":1858,"fairsharing_record_id":2169,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:25:23.099Z","updated_at":"2021-09-30T09:25:23.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1859,"fairsharing_record_id":2169,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:23.128Z","updated_at":"2021-09-30T09:25:23.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1860,"fairsharing_record_id":2169,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:25:23.157Z","updated_at":"2021-09-30T09:29:50.826Z","grant_id":432,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK097748","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2170","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:39:48.023Z","metadata":{"doi":"10.25504/FAIRsharing.6gz84c","name":"Bio2RDF","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com","contact_orcid":"0000-0003-4727-9435"}],"homepage":"http://bio2rdf.org","identifier":2170,"description":"Bio2RDF is an open-source project that uses Semantic Web technologies to build and provide the largest network of Linked Data for the Life Sciences. Bio2RDF defines a set of simple conventions to create RDF(S) compatible Linked Data from a diverse set of heterogeneously formatted sources obtained from multiple data providers.","abbreviation":"Bio2RDF","data_curation":{"type":"none"},"support_links":[{"url":"https://groups.google.com/forum/?fromgroups#!forum/bio2rdf","type":"Forum"},{"url":"https://github.com/bio2rdf/bio2rdf-scripts/wiki/Bio2RDF-Tutorials","type":"Github"},{"url":"https://twitter.com/bio2rdf","type":"Twitter"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000642","bsg-d000642"],"name":"FAIRsharing record for: Bio2RDF","abbreviation":"Bio2RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.6gz84c","doi":"10.25504/FAIRsharing.6gz84c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bio2RDF is an open-source project that uses Semantic Web technologies to build and provide the largest network of Linked Data for the Life Sciences. Bio2RDF defines a set of simple conventions to create RDF(S) compatible Linked Data from a diverse set of heterogeneously formatted sources obtained from multiple data providers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1639,"pubmed_id":18472304,"title":"Bio2RDF: towards a mashup to build bioinformatics knowledge systems.","year":2008,"url":"http://doi.org/10.1016/j.jbi.2008.03.004","authors":"Belleau F,Nolin MA,Tourigny N,Rigault P,Morissette J","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2008.03.004","created_at":"2021-09-30T08:25:23.595Z","updated_at":"2021-09-30T08:25:23.595Z"}],"licence_links":[{"licence_name":"bio2rdf Terms of Use","licence_id":75,"licence_url":"https://github.com/bio2rdf/bio2rdf-scripts/wiki/Terms-of-use","link_id":849,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":916,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2171","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:16:10.059Z","metadata":{"doi":"10.25504/FAIRsharing.dq83p6","name":"Kidney and Urinary Pathway Knowledgebase","status":"deprecated","contacts":[{"contact_name":"Simon Jupp","contact_email":"jupp@ebi.ac.uk","contact_orcid":"0000-0002-0643-3144"}],"homepage":"http://www.kupkb.org","identifier":2171,"description":"The KUPKB is a collection of omics datasets that have been extracted from scientific publications and other related renal databases. The iKUP browser provides a single point of entry for you to query and browse these datasets.","abbreviation":"KUPKB","data_curation":{"type":"not found"},"support_links":[{"url":"support@kupkb.org","type":"Support email"},{"url":"jupp@ebi.ac.uk","type":"Support email"},{"url":"http://www.kupkb.org/#tab5","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/KUPKB_team","type":"Twitter"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://www.kupkb.org","name":"iKUP 1"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000643","bsg-d000643"],"name":"FAIRsharing record for: Kidney and Urinary Pathway Knowledgebase","abbreviation":"KUPKB","url":"https://fairsharing.org/10.25504/FAIRsharing.dq83p6","doi":"10.25504/FAIRsharing.dq83p6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The KUPKB is a collection of omics datasets that have been extracted from scientific publications and other related renal databases. The iKUP browser provides a single point of entry for you to query and browse these datasets.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12706}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Biomedical Science"],"domains":["Expression data","Kidney disease"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["France","United Kingdom"],"publications":[{"id":633,"pubmed_id":22345404,"title":"The KUPKB: a novel Web application to access multiomics data on kidney disease","year":2012,"url":"http://doi.org/10.1096/fj.11-194381","authors":"Julie Klein","journal":"FASEB","doi":"10.1096/fj.11-194381","created_at":"2021-09-30T08:23:29.652Z","updated_at":"2021-09-30T08:23:29.652Z"},{"id":634,"pubmed_id":21624162,"title":"Developing a kidney and urinary pathway knowledge base.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-S2-S7","authors":"Simon Jupp","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-S2-S7","created_at":"2021-09-30T08:23:29.761Z","updated_at":"2021-09-30T08:23:29.761Z"}],"licence_links":[],"grants":[{"id":1861,"fairsharing_record_id":2171,"organisation_id":837,"relation":"funds","created_at":"2021-09-30T09:25:23.191Z","updated_at":"2021-09-30T09:32:19.529Z","grant_id":1567,"is_lead":false,"saved_state":{"id":837,"name":"e-LICO","grant":"EU/FP7/ICT-2007.4.4","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2172","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:13.869Z","metadata":{"doi":"10.25504/FAIRsharing.ekrvbq","name":"euL1db, the European database of L1-HS retrotransposon insertions in humans","status":"ready","contacts":[{"contact_name":"Gael Cristofari","contact_email":"Gael.Cristofari@unice.fr","contact_orcid":"0000-0001-5620-3091"}],"homepage":"http://eul1db.unice.fr","citations":[{"doi":"10.1093/nar/gku1043","pubmed_id":25352549,"publication_id":679}],"identifier":2172,"description":"euL1db, the European database of L1-HS retrotransposon insertions in humans, provides a curated and comprehensive summary of L1-HS insertion polymorphisms identified in healthy or pathological human samples and published in peer-reviewed journals.","abbreviation":"euL1db","data_curation":{"url":"https://eul1db.ircan.org/Help.jsp","type":"manual/automated"},"support_links":[{"url":"http://eul1db.unice.fr/db/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"http://eul1db.unice.fr/db/Help.jsp","type":"Help documentation"},{"url":"https://twitter.com/retrogenomics","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://eul1db.unice.fr/Data.jsp","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000644","bsg-d000644"],"name":"FAIRsharing record for: euL1db, the European database of L1-HS retrotransposon insertions in humans","abbreviation":"euL1db","url":"https://fairsharing.org/10.25504/FAIRsharing.ekrvbq","doi":"10.25504/FAIRsharing.ekrvbq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: euL1db, the European database of L1-HS retrotransposon insertions in humans, provides a curated and comprehensive summary of L1-HS insertion polymorphisms identified in healthy or pathological human samples and published in peer-reviewed journals.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12707}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Biomedical Science"],"domains":["DNA sequence data","Genetic polymorphism","Structure","Transposable element","Retrotransposon"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":679,"pubmed_id":25352549,"title":"euL1db: the European database of L1HS retrotransposon insertions in humans","year":2014,"url":"http://doi.org/10.1093/nar/gku1043","authors":"Mir AA, Philippe C, Cristofari G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1043","created_at":"2021-09-30T08:23:34.844Z","updated_at":"2021-09-30T08:23:34.844Z"}],"licence_links":[],"grants":[{"id":1862,"fairsharing_record_id":2172,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:25:23.228Z","updated_at":"2021-09-30T09:25:23.228Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1865,"fairsharing_record_id":2172,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:23.345Z","updated_at":"2021-09-30T09:25:23.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1863,"fairsharing_record_id":2172,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:25:23.267Z","updated_at":"2021-09-30T09:25:23.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1864,"fairsharing_record_id":2172,"organisation_id":1445,"relation":"funds","created_at":"2021-09-30T09:25:23.303Z","updated_at":"2021-09-30T09:25:23.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":1445,"name":"Institut National Du Cancer, France","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9909,"fairsharing_record_id":2172,"organisation_id":3707,"relation":"funds","created_at":"2022-09-22T11:00:55.063Z","updated_at":"2022-09-22T11:00:55.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":3707,"name":"University Cote d'Azur","types":["University"],"is_lead":false,"relation":"funds"}},{"id":9910,"fairsharing_record_id":2172,"organisation_id":1974,"relation":"funds","created_at":"2022-09-22T11:00:55.063Z","updated_at":"2022-09-22T11:00:55.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2174","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:39:49.678Z","metadata":{"doi":"10.25504/FAIRsharing.51r558","name":"Protein-ligand affinity change upon mutation","status":"deprecated","contacts":[{"contact_name":"Douglas Pires","contact_email":"dpires@dcc.ufmg.br","contact_orcid":"0000-0002-3004-2119"}],"homepage":"http://structure.bioc.cam.ac.uk/platinum","identifier":2174,"description":"Platinum is a manually curated, literature-derived database comprising over 1,000 mutations which for the first time associates experimental information on changes in protein-ligand affinity with the three-dimensional structures of the complex.","abbreviation":"Platinum","data_curation":{"type":"not found"},"support_links":[{"url":"http://bleoberis.bioc.cam.ac.uk/platinum/contact","type":"Contact form"},{"url":"dascher@svi.edu.au","type":"Support email"},{"url":"http://bleoberis.bioc.cam.ac.uk/platinum/help","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[{"url":"http://structure.bioc.cam.ac.uk/mcsm","name":"mCSM 1.0"},{"url":"http://structure.bioc.cam.ac.uk/duet","name":"DUET 1.0"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000646","bsg-d000646"],"name":"FAIRsharing record for: Protein-ligand affinity change upon mutation","abbreviation":"Platinum","url":"https://fairsharing.org/10.25504/FAIRsharing.51r558","doi":"10.25504/FAIRsharing.51r558","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Platinum is a manually curated, literature-derived database comprising over 1,000 mutations which for the first time associates experimental information on changes in protein-ligand affinity with the three-dimensional structures of the complex.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12708}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein interaction","Mutation analysis","Small molecule"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Brazil","United Kingdom"],"publications":[{"id":677,"pubmed_id":25324307,"title":"Platinum: a database of experimentally measured effects of mutations on structurally defined protein-ligand complexes","year":2014,"url":"http://doi.org/10.1093/nar/gku966","authors":"Douglas E.V. Pires, Tom L. Blundell and David B. Ascher","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku966","created_at":"2021-09-30T08:23:34.644Z","updated_at":"2021-09-30T08:23:34.644Z"}],"licence_links":[],"grants":[{"id":1872,"fairsharing_record_id":2174,"organisation_id":2663,"relation":"maintains","created_at":"2021-09-30T09:25:23.632Z","updated_at":"2021-09-30T09:25:23.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":2663,"name":"St Vincent's Institute/Australia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1873,"fairsharing_record_id":2174,"organisation_id":1017,"relation":"maintains","created_at":"2021-09-30T09:25:23.660Z","updated_at":"2021-09-30T09:25:23.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":1017,"name":"Fiocruz Minas Centro de Pesquisas Rene Rachou (CPQRR), Belo Horizonte, MG, Brazil","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1875,"fairsharing_record_id":2174,"organisation_id":668,"relation":"maintains","created_at":"2021-09-30T09:25:23.715Z","updated_at":"2021-09-30T09:25:23.715Z","grant_id":null,"is_lead":false,"saved_state":{"id":668,"name":"Department of Biochemistry, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1874,"fairsharing_record_id":2174,"organisation_id":1994,"relation":"funds","created_at":"2021-09-30T09:25:23.690Z","updated_at":"2021-09-30T09:32:02.593Z","grant_id":1442,"is_lead":false,"saved_state":{"id":1994,"name":"National Health and Medical Research Council (NHMRC), Australia","grant":"APP1072476","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2192","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T20:23:46.000Z","updated_at":"2023-12-15T10:32:16.780Z","metadata":{"doi":"10.25504/FAIRsharing.npf403","name":"Swedish Ocean Archive","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"shark@smhi.se"}],"homepage":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data","identifier":2192,"description":"SHARK (\"Svenskt HavsARKiv\" / \"Swedish Ocean Archive\") contains marine environmental monitoring data from the seas surrounding Sweden. SHARK is accessed via SHARKweb (for human-readable content) and SHARKdata (for computational access). Content includes marine physical, chemical and biological data collected within Swedish environmental monitoring programs.","abbreviation":"SHARK","data_curation":{"type":"not found"},"support_links":[{"url":"smhi@smhi.se","name":"SMHI Contact","type":"Support email"},{"url":"http://sharkdata.se/examplecode/","name":"Example Code","type":"Help documentation"},{"url":"http://sharkdata.se/documentation/","name":"Documentation","type":"Help documentation"},{"url":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/deliver-data-1.153151","name":"How to Submit Data","type":"Help documentation"},{"url":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/download-data-1.153150","name":"How to Download Data","type":"Help documentation"},{"url":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/how-the-swedish-archive-for-oceanography-works-1.153153","name":"About SHARK","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/deliver-data-1.153151","type":"open","notes":"Submited data undergoes quality checking prior to publication."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000666","bsg-d000666"],"name":"FAIRsharing record for: Swedish Ocean Archive","abbreviation":"SHARK","url":"https://fairsharing.org/10.25504/FAIRsharing.npf403","doi":"10.25504/FAIRsharing.npf403","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SHARK (\"Svenskt HavsARKiv\" / \"Swedish Ocean Archive\") contains marine environmental monitoring data from the seas surrounding Sweden. SHARK is accessed via SHARKweb (for human-readable content) and SHARKdata (for computational access). Content includes marine physical, chemical and biological data collected within Swedish environmental monitoring programs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Marine Biology","Biodiversity"],"domains":["Marine environment","Monitoring"],"taxonomies":["All"],"user_defined_tags":["Marine Chemistry"],"countries":["Sweden"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2072,"relation":"undefined"}],"grants":[{"id":1938,"fairsharing_record_id":2192,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:25:25.802Z","updated_at":"2021-09-30T09:25:25.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1937,"fairsharing_record_id":2192,"organisation_id":2673,"relation":"maintains","created_at":"2021-09-30T09:25:25.765Z","updated_at":"2021-09-30T09:25:25.765Z","grant_id":null,"is_lead":true,"saved_state":{"id":2673,"name":"Swedish Meteorological and Hydrological Institute (SMHI), Norrkping, Sweden","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2194","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T20:54:40.000Z","updated_at":"2024-02-01T10:49:39.087Z","metadata":{"doi":"10.25504/FAIRsharing.jr4y76","name":"Canadensys","status":"ready","contacts":[{"contact_name":"Olivier Norvez","contact_email":"olivier.norvez@umontreal.ca","contact_orcid":"0000-0001-7696-3493"}],"homepage":"https://data.canadensys.net/explorer/occurrences/search?q=#tab_mapView","citations":[{"doi":"10.3897/biss.3.36979","pubmed_id":null,"publication_id":3908}],"identifier":2194,"description":"Biological collections are replete with taxonomic, geographic, temporal, numerical, and historical information. This information is crucial for understanding and properly managing biodiversity and ecosystems, but is often difficult to access. Data publication is the act of making that information available online, and is the core mission of Canadensys. Most of the datasets contain specimen data, but checklists and observation data are present as well.","abbreviation":"Canadensys","data_curation":{"url":"https://community.canadensys.net/digitization/data-cleaning","type":"not found"},"support_links":[{"url":"http://www.canadensys.net/blog","type":"Blog/News"},{"url":"https://github.com/Canadensys","type":"Github"},{"url":"https://twitter.com/canadensys","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://data.canadensys.net/tools/coordinates","name":"converter"}],"data_access_condition":{"url":"https://data.canadensys.net/explorer/occurrences/search?q=#tab_mapView","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://community.canadensys.net/publication/data-publication-guide?lang=fr","type":"controlled","notes":"7-step guide to data publication is facilitated."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000668","bsg-d000668"],"name":"FAIRsharing record for: Canadensys","abbreviation":"Canadensys","url":"https://fairsharing.org/10.25504/FAIRsharing.jr4y76","doi":"10.25504/FAIRsharing.jr4y76","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biological collections are replete with taxonomic, geographic, temporal, numerical, and historical information. This information is crucial for understanding and properly managing biodiversity and ecosystems, but is often difficult to access. Data publication is the act of making that information available online, and is the core mission of Canadensys. Most of the datasets contain specimen data, but checklists and observation data are present as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1640,"pubmed_id":24198712,"title":"Database of Vascular Plants of Canada (VASCAN): a community contributed taxonomic checklist of all vascular plants of Canada, Saint Pierre and Miquelon, and Greenland.","year":2013,"url":"http://doi.org/10.3897/phytokeys.25.3100","authors":"Desmet P,Brouillet L","journal":"PhytoKeys","doi":"10.3897/phytokeys.25.3100","created_at":"2021-09-30T08:25:23.704Z","updated_at":"2021-09-30T08:25:23.704Z"},{"id":3908,"pubmed_id":null,"title":"Reaching an Established but Growing Network: Use-case from Canadensys","year":2019,"url":"http://dx.doi.org/10.3897/biss.3.36979","authors":"Sinou, Carole; Bruneau, Anne; Paul, Deborah L; Kennedy, Mary; ","journal":"BISS","doi":"10.3897/biss.3.36979","created_at":"2023-06-14T07:28:35.284Z","updated_at":"2023-06-14T07:28:35.284Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":913,"relation":"undefined"}],"grants":[{"id":1943,"fairsharing_record_id":2194,"organisation_id":478,"relation":"maintains","created_at":"2021-09-30T09:25:25.985Z","updated_at":"2021-09-30T09:25:25.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":478,"name":"Centre sur la Biodiversite de l'Universite de Montreal, Montreal, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2195","type":"fairsharing_records","attributes":{"created_at":"2015-03-12T09:57:03.000Z","updated_at":"2024-03-27T22:39:32.815Z","metadata":{"doi":"10.25504/FAIRsharing.rf3m4g","name":"Plant Genomics and Phenomics Research Data Repository","status":"ready","contacts":[{"contact_name":"Daniel Arend","contact_email":"arendd@ipk-gatersleben.de","contact_orcid":"0000-0002-2455-5938"}],"homepage":"http://edal-pgp.ipk-gatersleben.de","citations":[],"identifier":2195,"description":"This repository provides several plant genomic and phenotypic datasets resulting from IPK and German Plant Phenotyping Network (DPPN) research activities. It was established in January 2015. The background of the study is in plant genetic resources, in particular the association of genotypes and phenotypes. This archive aims to provide data from the \"system plant\" - from the root to bloom and seed, as well from sequence analysis to systems biology.Ge","abbreviation":"PGP","data_curation":{"type":"not found"},"support_links":[{"url":"https://edal-pgp.ipk-gatersleben.de/contact.html","name":"General Contact Points","type":"Contact form"},{"url":"https://doi.ipk-gatersleben.de/report/ ","name":"Access and Download Statistics","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://edal.ipk-gatersleben.de/","name":"e!DAL"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011876","name":"re3data:r3d100011876","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://edal-pgp.ipk-gatersleben.de/","type":"open","notes":"Data submission"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000669","bsg-d000669"],"name":"FAIRsharing record for: Plant Genomics and Phenomics Research Data Repository","abbreviation":"PGP","url":"https://fairsharing.org/10.25504/FAIRsharing.rf3m4g","doi":"10.25504/FAIRsharing.rf3m4g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This repository provides several plant genomic and phenotypic datasets resulting from IPK and German Plant Phenotyping Network (DPPN) research activities. It was established in January 2015. The background of the study is in plant genetic resources, in particular the association of genotypes and phenotypes. This archive aims to provide data from the \"system plant\" - from the root to bloom and seed, as well from sequence analysis to systems biology.Ge","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16724},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19519}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Phenotype","Genotype"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":724,"pubmed_id":24958009,"title":"e!DAL - a framework to store, share and publish research data","year":2014,"url":"http://doi.org/10.1186/1471-2105-15-214","authors":"Daniel Arend, Matthias Lange, Jinbo Chen, Christian Colmsee, Steffen Flemming, Denny Hecht and Uwe Scholz","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-15-214","created_at":"2021-09-30T08:23:39.788Z","updated_at":"2021-09-30T08:23:39.788Z"},{"id":1376,"pubmed_id":27087305,"title":"PGP repository: a plant phenomics and genomics data publication infrastructure.","year":2016,"url":"http://doi.org/10.1093/database/baw033","authors":"Arend D,Junker A,Scholz U,Schuler D,Wylie J,Lange M","journal":"Database (Oxford)","doi":"10.1093/database/baw033","created_at":"2021-09-30T08:24:53.901Z","updated_at":"2021-09-30T08:24:53.901Z"},{"id":1816,"pubmed_id":null,"title":"The e!DAL JAVA-API: Store, share and cite primary data in life sciences","year":2012,"url":"http://doi.org/10.1109/BIBM.2012.6392737","authors":"Daniel Arend, Matthias Lange, Christian Colmsee, Steffen Flemming, Jinbo Chen and Uwe Scholz","journal":"IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","doi":"10.1109/BIBM.2012.6392737","created_at":"2021-09-30T08:25:43.864Z","updated_at":"2021-09-30T08:25:43.864Z"},{"id":3480,"pubmed_id":null,"title":"The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition","year":2020,"url":"http://dx.doi.org/10.1093/gigascience/giaa107","authors":"Arend, Daniel; König, Patrick; Junker, Astrid; Scholz, Uwe; Lange, Matthias; ","journal":"GigaScience","doi":"10.1093/gigascience/giaa107","created_at":"2022-07-20T06:56:23.494Z","updated_at":"2022-07-20T06:56:23.494Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":500,"relation":"undefined"}],"grants":[{"id":1945,"fairsharing_record_id":2195,"organisation_id":2872,"relation":"maintains","created_at":"2021-09-30T09:25:26.034Z","updated_at":"2021-09-30T09:25:26.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":2872,"name":"trans-national infrastructure for plant genomic science (transPLANT)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1944,"fairsharing_record_id":2195,"organisation_id":751,"relation":"funds","created_at":"2021-09-30T09:25:26.008Z","updated_at":"2021-09-30T09:32:46.547Z","grant_id":1772,"is_lead":false,"saved_state":{"id":751,"name":"Deutschen Pflanzen Phenotypisierungsnetzwerks (DPPN), Germany","grant":"FKZ 031A053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1946,"fairsharing_record_id":2195,"organisation_id":1702,"relation":"maintains","created_at":"2021-09-30T09:25:26.063Z","updated_at":"2021-09-30T09:25:26.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":1702,"name":"Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1947,"fairsharing_record_id":2195,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:25:26.106Z","updated_at":"2021-09-30T09:25:26.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1948,"fairsharing_record_id":2195,"organisation_id":922,"relation":"funds","created_at":"2021-09-30T09:25:26.160Z","updated_at":"2021-09-30T09:31:17.116Z","grant_id":1101,"is_lead":false,"saved_state":{"id":922,"name":"European Commission FP7 Transplant Project","grant":"283496","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBazhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--07f53bebf8ecefe7f55d2f674a915eb634499fce/pgp_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2196","type":"fairsharing_records","attributes":{"created_at":"2015-04-19T13:35:31.000Z","updated_at":"2022-07-20T12:26:02.071Z","metadata":{"doi":"10.25504/FAIRsharing.ce8nsj","name":"EuroPhenome","status":"deprecated","contacts":[{"contact_name":"Ann-Marie Mallon","contact_email":"a.mallon@har.mrc.ac.uk"}],"homepage":"http://www.EuroPhenome.org","identifier":2196,"description":"The EuroPhenome project provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centres. Mutants of interest can be identified by searching the gene or the predicted phenotype.","abbreviation":"EuroPhenome","data_curation":{"type":"not found"},"support_links":[{"url":"helpdesk@europhenome.org","type":"Support email"},{"url":"http://www.europhenome.org/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.europhenome.org/using.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.europhenome.org/databrowser/heatmap.jsp?pipeline=1","name":"View Phenomap"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000670","bsg-d000670"],"name":"FAIRsharing record for: EuroPhenome","abbreviation":"EuroPhenome","url":"https://fairsharing.org/10.25504/FAIRsharing.ce8nsj","doi":"10.25504/FAIRsharing.ce8nsj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EuroPhenome project provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centres. Mutants of interest can be identified by searching the gene or the predicted phenotype.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Computational biological predictions","Mutation","Phenotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":1641,"pubmed_id":19933761,"title":"EuroPhenome: a repository for high-throughput mouse phenotyping data","year":2009,"url":"http://doi.org/10.1093/nar/gkp1007","authors":"Morgan H, Beck T, Blake A, Gates H, Adams N, Debouzy G, Leblanc S, Lengger C, Maier H, Melvin D, Meziane H, Richardson D, Wells S, White J, Wood J; EUMODIC Consortium, de Angelis MH, Brown SD, Hancock JM, Mallon AM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1007","created_at":"2021-09-30T08:25:23.813Z","updated_at":"2021-09-30T08:25:23.813Z"},{"id":1642,"pubmed_id":17905814,"title":"EuroPhenome and EMPReSS: online mouse phenotyping resource.","year":2007,"url":"http://doi.org/10.1093/nar/gkm728","authors":"Mallon AM,Blake A,Hancock JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm728","created_at":"2021-09-30T08:25:23.918Z","updated_at":"2021-09-30T11:29:17.552Z"}],"licence_links":[],"grants":[{"id":1950,"fairsharing_record_id":2196,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:26.214Z","updated_at":"2021-09-30T09:29:23.464Z","grant_id":227,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"01GS0850","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8417,"fairsharing_record_id":2196,"organisation_id":918,"relation":"funds","created_at":"2021-09-30T09:32:32.885Z","updated_at":"2021-09-30T09:32:32.943Z","grant_id":1669,"is_lead":false,"saved_state":{"id":918,"name":"European Commission (EC) FP6, EUMODIC project","grant":"QLG2-CT-2002-00930","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1949,"fairsharing_record_id":2196,"organisation_id":918,"relation":"funds","created_at":"2021-09-30T09:25:26.184Z","updated_at":"2021-09-30T09:30:56.216Z","grant_id":942,"is_lead":false,"saved_state":{"id":918,"name":"European Commission (EC) FP6, EUMODIC project","grant":"LSHG-CT-2006-037188","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2197","type":"fairsharing_records","attributes":{"created_at":"2015-04-21T12:40:45.000Z","updated_at":"2023-12-15T10:31:21.426Z","metadata":{"doi":"10.25504/FAIRsharing.84ebcy","name":"Stem Cell Commons","status":"ready","contacts":[{"contact_name":"Shannan Ho Sui","contact_email":"shosui@hsph.harvard.edu"}],"homepage":"http://stemcellcommons.org/","identifier":2197,"description":"The Stem Cell Commons were initiated by the Harvard Stem Cell Institute to develop a community for stem cell bioinformatics. This open source environment for sharing, processing and analyzing stem cell data brings together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons.","abbreviation":"SCC","data_curation":{"type":"not found"},"support_links":[{"url":"http://stemcellcommons.org/contact","type":"Contact form"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/parklab/Refinery","name":"Refinery: web-based data visualization and analysis system powered by an ISA-Tab-compatible data repository Beta"},{"url":"https://bitbucket.org/mindinformatics/exframe7","name":"eXframe: structured annotation of experiments"},{"url":"https://bitbucket.org/hbc/galaxy-central-hbc","name":"Galaxy: web-based platform for accessible, reproducible, and transparent computational biomedical research"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"controlled","notes":"\"The Stem Cell Commons is a repository of data belonging to members of the Harvard Stem Cell Institute (HSCI).\""},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000671","bsg-d000671"],"name":"FAIRsharing record for: Stem Cell Commons","abbreviation":"SCC","url":"https://fairsharing.org/10.25504/FAIRsharing.84ebcy","doi":"10.25504/FAIRsharing.84ebcy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Stem Cell Commons were initiated by the Harvard Stem Cell Institute to develop a community for stem cell bioinformatics. This open source environment for sharing, processing and analyzing stem cell data brings together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12713}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Stem cell","Next generation DNA sequencing"],"taxonomies":["Danio rerio","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":729,"pubmed_id":24303302,"title":"The Stem Cell Commons: an exemplar for data integration in the biomedical domain driven by the ISA framework.","year":2013,"url":"https://www.ncbi.nlm.nih.gov/pubmed/24303302","authors":"Ho Sui S1, Merrill E, Gehlenborg N, Haseley P, Sytchev I, Park R, Rocca-Serra P, Corlosquet S, Gonzalez-Beltran A, Maguire E, Hofmann O, Park P, Das S, Sansone SA, Hide W.","journal":"AMIA Jt Summits Transl Sci Proc.","doi":null,"created_at":"2021-09-30T08:23:40.337Z","updated_at":"2021-09-30T08:23:40.337Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":326,"relation":"undefined"}],"grants":[{"id":1951,"fairsharing_record_id":2197,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:25:26.256Z","updated_at":"2021-09-30T09:25:26.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8401,"fairsharing_record_id":2197,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:27.870Z","updated_at":"2021-09-30T09:32:27.926Z","grant_id":1631,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000771/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1952,"fairsharing_record_id":2197,"organisation_id":1214,"relation":"maintains","created_at":"2021-09-30T09:25:26.298Z","updated_at":"2021-09-30T09:25:26.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":1214,"name":"Harvard Stem Cell Institute, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1953,"fairsharing_record_id":2197,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:26.336Z","updated_at":"2021-09-30T09:29:38.577Z","grant_id":339,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E025080/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2186","type":"fairsharing_records","attributes":{"created_at":"2015-02-11T10:46:48.000Z","updated_at":"2023-08-17T06:25:50.683Z","metadata":{"doi":"10.25504/FAIRsharing.bpkzqp","name":"Immunology Database and Analysis Portal","status":"ready","contacts":[{"contact_name":"Jeff Wiser","contact_email":"jeff.wiser@ngc.com"}],"homepage":"https://immport.org","citations":[{"doi":"10.1038/sdata.2018.15","pubmed_id":29485622,"publication_id":2220}],"identifier":2186,"description":"The Immunology Database and Analysis Portal (ImmPort) data repository was created for the exploration of clinical and basic research data on immunology and associated findings. ImmPort intends to promote effective data sharing across the basic, clinical and translational research communities. It collects data both from clinical and mechanistic studies on human subjects and from immunology studies on model organisms. The ImmPort ecosystem consists of four components: private data, shared data, data analysis, and resources-for data archiving, dissemination, analyses, and reuse.","abbreviation":"ImmPort","data_curation":{"url":"https://docs.immport.org/datasubmission/general/datasubmissionprocess/","type":"manual","notes":"Immport performs quality checks upon data submission"},"support_links":[{"url":"https://www.immport.org/shared/news","name":"News","type":"Blog/News"},{"url":"ImmPort_Helpdesk@immport.org","name":"Help Contact","type":"Support email"},{"url":"https://www.immport.org/resources/tutorials","name":"Tutorials","type":"Help documentation"},{"url":"https://www.immport.org/resources/documentation","name":"All Documentation","type":"Help documentation"},{"url":"https://www.immport.org/resources/dataTemplates","name":"Data Upload Templates","type":"Help documentation"},{"url":"https://www.immport.org/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ImmPortDB","name":"@ImmPortDB","type":"Twitter"},{"url":"https://docs.immport.org/datasubmission/general/submissiontemplates/","name":"Submission Templates","type":"Help documentation"},{"url":"https://www.immport.org/shared/dataModel","name":"Data Model","type":"Help documentation"},{"url":"https://docs.immport.org/datasubmission/general/hipcstandards/","name":"HIPC Standards","type":"Other"},{"url":"https://immport.us19.list-manage.com/subscribe?u=fae12fe1b349115b901d54a2f\u0026id=37f763663e","name":"Subscribe to Updates","type":"Mailing list"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://immportgalaxy.org","name":"ImmPortGalaxy"},{"url":"https://docs.immport.org/datasubmission/studywizard/","name":"Study Registration Wizard"},{"url":"https://bioconductor.org/packages/release/bioc/html/MetaCyto.html","name":"MetaCyto"},{"url":"https://bioconductor.org/packages/release/bioc/html/RImmPort.html","name":"RImmPort"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012529","name":"re3data:r3d100012529","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012804","name":"SciCrunch:RRID:SCR_012804","portal":"SciCrunch"}],"data_access_condition":{"url":"https://docs.immport.org/help/mfa/","type":"partially open","notes":"There are both shared and private subsets of this repository"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/bmic-about.html","name":"NIH sustained support"},"data_contact_information":"no","data_preservation_policy":{"url":"https://docs.immport.org/home/agreement/","name":"DAIT, NIAID, NIH Support Funding (duration up to 2027); CoreTrustSeal Compliance Level 3"},"data_deposition_condition":{"url":"https://www.niaid.nih.gov/research/immport","type":"controlled","notes":"Deposition for from NIAID-funded immunology studies, including basic research and clinical trials only."},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://www.coretrustseal.org/wp-content/uploads/2018/02/ImmPort-Repository.pdf","name":"CoreTrustSeal (valid until 2025-02-17)"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000660","bsg-d000660"],"name":"FAIRsharing record for: Immunology Database and Analysis Portal","abbreviation":"ImmPort","url":"https://fairsharing.org/10.25504/FAIRsharing.bpkzqp","doi":"10.25504/FAIRsharing.bpkzqp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Immunology Database and Analysis Portal (ImmPort) data repository was created for the exploration of clinical and basic research data on immunology and associated findings. ImmPort intends to promote effective data sharing across the basic, clinical and translational research communities. It collects data both from clinical and mechanistic studies on human subjects and from immunology studies on model organisms. The ImmPort ecosystem consists of four components: private data, shared data, data analysis, and resources-for data archiving, dissemination, analyses, and reuse.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10804},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11108},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12710},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12958}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Immunology","Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":["Model organism"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":920,"pubmed_id":24791905,"title":"ImmPort: disseminating data to the public for the future of immunology","year":2014,"url":"http://doi.org/10.1007/s12026-014-8516-1","authors":"Bhattacharya S, Andorf S, Gomes L, Dunn P, Schaefer H, Pontius J, Berger P, Desborough V, Smith T, Campbell J, Thomson E, Monteiro R, Guimaraes P, Walters B, Wiser J, Butte AJ","journal":"Immunologic Research","doi":"10.1007/s12026-014-8516-1","created_at":"2021-09-30T08:24:01.588Z","updated_at":"2021-09-30T08:24:01.588Z"},{"id":922,"pubmed_id":22431383,"title":"FCSTrans: An open source software system for FCS file conversion and data transformation","year":2012,"url":"http://doi.org/10.1002/cyto.a.22037","authors":"Qian Y, Liu Y, Campbell J, Thomson E, Kong YM, Scheuermann RH","journal":"Cytometry Part A","doi":"10.1002/cyto.a.22037","created_at":"2021-09-30T08:24:01.805Z","updated_at":"2021-09-30T08:24:01.805Z"},{"id":2209,"pubmed_id":20839340,"title":"Elucidation of seventeen human peripheral blood B-cell subsets and quantification of the tetanus response using a density-based method for the automated identification of cell populations in multidimensional flow cytometry data","year":2010,"url":"http://doi.org/10.1002/cyto.b.20554","authors":"Qian Y, Wei C, Eun-Hyung Lee F, Campbell J, Halliley J, Lee JA, Cai J, Kong YM, Sadat E, Thomson E, Dunn P, Seegmiller AC, Karandikar NJ, Tipton CM, Mosmann T, Sanz I, Scheuermann RH","journal":"Cytometry B Clinical Cytometry","doi":"10.1002/cyto.b.20554","created_at":"2021-09-30T08:26:28.963Z","updated_at":"2021-09-30T08:26:28.963Z"},{"id":2220,"pubmed_id":29485622,"title":"ImmPort, toward repurposing of open access immunological assay data for translational and clinical research.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.15","authors":"Bhattacharya S,Dunn P,Thomas CG,Smith B,Schaefer H,Chen J,Hu Z,Zalocusky KA,Shankar RD,Shen-Orr SS,Thomson E,Wiser J,Butte AJ","journal":"Sci Data","doi":"10.1038/sdata.2018.15","created_at":"2021-09-30T08:26:30.198Z","updated_at":"2021-09-30T08:26:30.198Z"}],"licence_links":[{"licence_name":"ImmPort Data Sharing","licence_id":432,"licence_url":"http://www.immport.org/agreement","link_id":362,"relation":"undefined"}],"grants":[{"id":1912,"fairsharing_record_id":2186,"organisation_id":2721,"relation":"undefined","created_at":"2021-09-30T09:25:24.923Z","updated_at":"2023-01-22T03:13:16.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":2721,"name":"Technion - Israel Institute of Technology","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":1919,"fairsharing_record_id":2186,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:25.106Z","updated_at":"2021-09-30T09:31:28.145Z","grant_id":1182,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN272201200028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1911,"fairsharing_record_id":2186,"organisation_id":3025,"relation":"collaborates_on","created_at":"2021-09-30T09:25:24.898Z","updated_at":"2023-01-22T03:11:10.711Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo, NY, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":1914,"fairsharing_record_id":2186,"organisation_id":2623,"relation":"collaborates_on","created_at":"2021-09-30T09:25:24.973Z","updated_at":"2023-01-22T03:11:10.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":1916,"fairsharing_record_id":2186,"organisation_id":1555,"relation":"collaborates_on","created_at":"2021-09-30T09:25:25.023Z","updated_at":"2023-01-22T03:11:10.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":1555,"name":"ISA-Tools, University of Oxford","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":1917,"fairsharing_record_id":2186,"organisation_id":2183,"relation":"maintains","created_at":"2021-09-30T09:25:25.056Z","updated_at":"2021-09-30T09:25:25.056Z","grant_id":null,"is_lead":true,"saved_state":{"id":2183,"name":"Northrop Grumman Health IT","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":1920,"fairsharing_record_id":2186,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:25.138Z","updated_at":"2021-09-30T09:25:25.138Z","grant_id":null,"is_lead":true,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1915,"fairsharing_record_id":2186,"organisation_id":18,"relation":"associated_with","created_at":"2021-09-30T09:25:24.999Z","updated_at":"2023-01-22T03:11:10.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":18,"name":"Accelerating Medicines Partnership (AMP)","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":1918,"fairsharing_record_id":2186,"organisation_id":1276,"relation":"collaborates_on","created_at":"2021-09-30T09:25:25.082Z","updated_at":"2023-01-22T03:11:10.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1276,"name":"Human Immunology Project Consortium","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":1913,"fairsharing_record_id":2186,"organisation_id":420,"relation":"collaborates_on","created_at":"2021-09-30T09:25:24.949Z","updated_at":"2023-01-22T03:11:10.665Z","grant_id":null,"is_lead":false,"saved_state":{"id":420,"name":"Center for Expanded Data Annotation and Retrieval (CEDAR)","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":10304,"fairsharing_record_id":2186,"organisation_id":3868,"relation":"maintains","created_at":"2023-01-22T03:16:04.191Z","updated_at":"2023-01-22T03:16:04.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":3868,"name":"National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases (NIAID), Division of Allergy, Immunology, and Transplantation (DAIT)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBclFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--92cb4b345d57911b0764ecea7a39cd3546a658fc/immport-main-icon.png?disposition=inline","exhaustive_licences":false}},{"id":"2188","type":"fairsharing_records","attributes":{"created_at":"2015-02-11T17:09:58.000Z","updated_at":"2024-03-21T13:58:06.902Z","metadata":{"doi":"10.25504/FAIRsharing.r4ph5f","name":"Image Data Archive","status":"ready","contacts":[{"contact_name":"LONI Contact","contact_email":"dba@loni.usc.edu"}],"homepage":"https://ida.loni.usc.edu/","citations":[],"identifier":2188,"description":"The LONI Image Data Archive (IDA) is a user-friendly environment for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. The IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities. The Image \u0026 Data Archive (IDA) provides tools and resources for de-identifying, integrating, searching, visualizing and sharing a diverse range of neuroscience data, helping facilitate collaborations between scientists worldwide.","abbreviation":"IDA","data_curation":{"type":"none"},"support_links":[{"url":"ida@loni.usc.edu","type":"Support email"},{"url":"https://ida.loni.usc.edu/services/Menu/DocFaq.jsp?page=DOCUMENTATION\u0026subPage=FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ida.loni.usc.edu/services/Menu/PDF/IDA_User_Manual.pdf","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012840","name":"re3data:r3d100012840","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001922","name":"SciCrunch:RRID:SCR_001922","portal":"SciCrunch"}],"data_access_condition":{"url":"https://ida.loni.usc.edu/explore/jsp/support/support.jsp#general","type":"partially open","notes":"Acess to any data requires a free IDA user account. For restricted-sharing studies, access permission may be requested."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://ida.loni.usc.edu/explore/jsp/support/support.jsp#uploading","type":"controlled","notes":"Only authorized users of a study are given upload access."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000662","bsg-d000662"],"name":"FAIRsharing record for: Image Data Archive","abbreviation":"IDA","url":"https://fairsharing.org/10.25504/FAIRsharing.r4ph5f","doi":"10.25504/FAIRsharing.r4ph5f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LONI Image Data Archive (IDA) is a user-friendly environment for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. The IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities. The Image \u0026 Data Archive (IDA) provides tools and resources for de-identifying, integrating, searching, visualizing and sharing a diverse range of neuroscience data, helping facilitate collaborations between scientists worldwide.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10806},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11110}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Developmental Biology","Biomedical Science"],"domains":["Imaging","Aging","Disease course","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1924,"fairsharing_record_id":2188,"organisation_id":3125,"relation":"maintains","created_at":"2021-09-30T09:25:25.292Z","updated_at":"2021-09-30T09:25:25.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1926,"fairsharing_record_id":2188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:25.372Z","updated_at":"2021-09-30T09:30:06.326Z","grant_id":553,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54EB020406","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8112,"fairsharing_record_id":2188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:01.363Z","updated_at":"2021-09-30T09:31:01.416Z","grant_id":981,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41EB015922","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1922,"fairsharing_record_id":2188,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:25.221Z","updated_at":"2021-09-30T09:25:25.221Z","grant_id":null,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1923,"fairsharing_record_id":2188,"organisation_id":3124,"relation":"maintains","created_at":"2021-09-30T09:25:25.259Z","updated_at":"2021-09-30T09:25:25.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":3124,"name":"University of Southern California (USC), Mark and Mary Stevens Neuroimaging and Informatics Institute, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":11530,"fairsharing_record_id":2188,"organisation_id":1679,"relation":"funds","created_at":"2024-03-21T13:58:06.823Z","updated_at":"2024-03-21T13:58:06.823Z","grant_id":null,"is_lead":false,"saved_state":{"id":1679,"name":"Laboratory of Neuro Imaging (LONI), University of Southern California, Los Angeles, CA, USA","types":["Lab"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2181","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-06T15:19:11.969Z","metadata":{"doi":"10.25504/FAIRsharing.g4z879","name":"The Open Science Framework","status":"ready","contacts":[{"contact_name":"Nici Pfeiffer","contact_email":"nici@cos.io","contact_orcid":"0000-0002-2593-4905"}],"homepage":"http://osf.io","citations":[],"identifier":2181,"description":"The Open Science Framework (OSF) is a free and open free, open repository and platform to enable collaboration and support the entire research lifecycle: planning, execution, reporting, archiving, and discovery. Features include automated versioning, logging of all actions, collaboration support, free and unlimited file storage, registrations, and connections to other tools/services (ie. Dropbox, figshare, Amazon S3, Dataverse, GitHub). It is 100% free to researchers, open source, and intended for use in all domain areas. OSF has an open, public API to support broad indexing, as well as a partnership with Internet Archive for long-term preservation with a $250k preservation fund and an IMLS grant for transfer to Internet Archive (currently in progress). The OSF supports embargoing during peer review via a view-only link with the ability to anonymize contributor list. It also provides managed access by allowing access requests and private sharing settings. OSF is a non-profit with direct funder support through grants, government contracts, and community memberships.","abbreviation":"OSF","data_curation":{"url":"https://www.cos.io/blog/osf-adds-new-metadata-features-to-meet-desirable-characteristics-for-federally-funded-research","type":"manual","notes":"Datasets must have metadata"},"support_links":[{"url":"support@osf.io","name":"Technical support","type":"Support email"},{"url":"contact@osf.io","name":"General enquiries","type":"Support email"},{"url":"https://groups.google.com/forum/?hl=en#!forum/openscienceframework","type":"Forum"},{"url":"https://osf.io/getting-started/","type":"Help documentation"},{"url":"https://twitter.com/OSFramework","type":"Twitter"},{"url":"https://github.com/CenterForOpenScience","name":"Center for Open Science on GitHub","type":"Github"},{"url":"https://groups.google.com/g/openscienceframework","name":"OSF Google Groups","type":"Forum"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://osf.io/registries","name":"OSF Registry"},{"url":"https://help.osf.io/article/395-storage-add-ons","name":"Storage Add-Ons"},{"url":"https://help.osf.io/article/394-citation-add-ons","name":"Citation Add-Ons"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011137","name":"re3data:r3d100011137","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003238","name":"SciCrunch:RRID:SCR_003238","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.cos.io/products/osf","type":"open","notes":"https://github.com/CenterForOpenScience/cos.io/blob/master/TERMS_OF_USE.md"},"resource_sustainability":{"url":"http://osf.io/8km72 (Grant Proposals and Current Grant Funding); https://doi.org/10.31219/osf.io/x2w9h","name":"Center for Open Science: Strategic Plan; COS has implemented a sustainability model for maintaining an open-source, public goods infrastructure by partnering with stakeholders in research, including funders, federal agencies, research institutions, and individuals (accessible at the Grant Proposals and Current Grant Funding page)."},"data_contact_information":"yes","data_preservation_policy":{"url":"https://help.osf.io/article/547-account-and-security-faq-s#Backup","name":"Backup and preservation: files are stored in multiple locations and on multiple media types on Google Cloud, including 3 hash formats for files. OSF database is backed up via streaming replication 24 hours a day, and incremental restore points are made twice daily. Further, the OSF database is maintained in encrypted snapshots for an additional 60 days. Database backups are verified monthly. $250k Preservation fund, IMLS grant for transfer to Internet Archive (In progress)."},"data_deposition_condition":{"url":"https://help.osf.io/article/342-getting-started-on-the-osf","type":"controlled","notes":"Account registration required. Projects and subprojects currently have a public 50 GB storage limit and a private 5 GB limit. 5 GB/file native storage limit. Unlimited storage per researcher and across add-ons connected to a given project."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000655","bsg-d000655"],"name":"FAIRsharing record for: The Open Science Framework","abbreviation":"OSF","url":"https://fairsharing.org/10.25504/FAIRsharing.g4z879","doi":"10.25504/FAIRsharing.g4z879","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Science Framework (OSF) is a free and open free, open repository and platform to enable collaboration and support the entire research lifecycle: planning, execution, reporting, archiving, and discovery. Features include automated versioning, logging of all actions, collaboration support, free and unlimited file storage, registrations, and connections to other tools/services (ie. Dropbox, figshare, Amazon S3, Dataverse, GitHub). It is 100% free to researchers, open source, and intended for use in all domain areas. OSF has an open, public API to support broad indexing, as well as a partnership with Internet Archive for long-term preservation with a $250k preservation fund and an IMLS grant for transfer to Internet Archive (currently in progress). The OSF supports embargoing during peer review via a view-only link with the ability to anonymize contributor list. It also provides managed access by allowing access requests and private sharing settings. OSF is a non-profit with direct funder support through grants, government contracts, and community memberships.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10803},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10988},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11106},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12922}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Subject Agnostic"],"domains":["Citation","Resource metadata","Analysis","Publication"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2417,"pubmed_id":28891143,"title":"Behavioural Addiction Open Definition 2.0-using the Open Science Framework for collaborative and transparent theoretical development.","year":2017,"url":"http://doi.org/10.1111/add.13938","authors":"Billieux J,van Rooij AJ,Heeren A,Schimmenti A,Maurage P,Edman J,Blaszczynski A,Khazaal Y,Kardefelt-Winther D","journal":"Addiction","doi":"10.1111/add.13938","created_at":"2021-09-30T08:26:56.652Z","updated_at":"2021-09-30T08:26:56.652Z"},{"id":2608,"pubmed_id":30025068,"title":"Building an Open Science Framework to Model Soil Organic Carbon.","year":2018,"url":"http://doi.org/10.2134/jeq2017.08.0318","authors":"Flathers E,Gessler PE","journal":"J Environ Qual","doi":"10.2134/jeq2017.08.0318","created_at":"2021-09-30T08:27:20.129Z","updated_at":"2021-09-30T08:27:20.129Z"}],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":1549,"relation":"undefined"},{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1539,"relation":"undefined"},{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1585,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1535,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1534,"relation":"undefined"},{"licence_name":"Eclipse Public Licence Version 1.0","licence_id":260,"licence_url":"https://www.eclipse.org/legal/epl-v10.html","link_id":1593,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1586,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1588,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1594,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":1599,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1537,"relation":"undefined"},{"licence_name":"Mozilla Public Licence Version 2.0 (MPL 2.0)","licence_id":524,"licence_url":"https://www.mozilla.org/en-US/MPL/2.0/","link_id":1602,"relation":"undefined"},{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":1592,"relation":"undefined"}],"grants":[{"id":1895,"fairsharing_record_id":2181,"organisation_id":1689,"relation":"funds","created_at":"2021-09-30T09:25:24.406Z","updated_at":"2021-09-30T09:25:24.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":1689,"name":"Laura and John Arnold Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1893,"fairsharing_record_id":2181,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:24.357Z","updated_at":"2021-09-30T09:25:24.357Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1894,"fairsharing_record_id":2181,"organisation_id":435,"relation":"maintains","created_at":"2021-09-30T09:25:24.381Z","updated_at":"2021-09-30T09:25:24.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":435,"name":"Center for Open Science (COS), Charlottesville, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1897,"fairsharing_record_id":2181,"organisation_id":1605,"relation":"funds","created_at":"2021-09-30T09:25:24.457Z","updated_at":"2021-09-30T09:25:24.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":1605,"name":"John Templeton Foundation, West Conshohocken, PA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9377,"fairsharing_record_id":2181,"organisation_id":54,"relation":"funds","created_at":"2022-04-11T12:07:34.229Z","updated_at":"2022-04-11T12:07:34.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":54,"name":"Alfred P. Sloan Foundation, New York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaDhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b42b4749ce149e025696d4e554ab2bc7ca4b7abb/open_science_framework_white.2400x2400.jpeg?disposition=inline","exhaustive_licences":false}},{"id":"2183","type":"fairsharing_records","attributes":{"created_at":"2014-12-18T22:53:50.000Z","updated_at":"2022-07-20T11:19:04.550Z","metadata":{"doi":"10.25504/FAIRsharing.44wk5g","name":"Open Connectome Project","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"support@neurodata.io"}],"homepage":"https://neurodata.io/project/ocp/","identifier":2183,"description":"Open Connectome Project: Reverse Engineering the Brain One Synapse at a Time","abbreviation":"OCP","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://catmaid.org/","name":"CATMAID"},{"url":"http://fiji.sc/BigDataViewer","name":"BigDataViewer"},{"url":"https://github.com/janelia-flyem/gala","name":"GALA"},{"url":"http://www.nitrc.org/projects/mrcap","name":"MRCAP"},{"url":"https://software.rc.fas.harvard.edu/lichtman/vast/","name":"VAST"},{"url":"http://openconnecto.me/api/","name":"OCP API"}],"deprecation_date":"2021-03-19","deprecation_reason":"This resource is no longer available as a database. Instead, all data are hosted in AWS on the Open NeuroData Registry https://registry.opendata.aws/open-neurodata . (The original homepage at http://openconnecto.me is no longer active.)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000657","bsg-d000657"],"name":"FAIRsharing record for: Open Connectome Project","abbreviation":"OCP","url":"https://fairsharing.org/10.25504/FAIRsharing.44wk5g","doi":"10.25504/FAIRsharing.44wk5g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Connectome Project: Reverse Engineering the Brain One Synapse at a Time","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10989},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11107}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science"],"domains":[],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Felis catus","Homo sapiens","Macaca mulatta","Mus musculus","Pristionchus pacificus","Rattus norvegicus","Rhesus macaques"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1202,"pubmed_id":3881956,"title":"The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience","year":1985,"url":"http://doi.org/10.1002/ajmg.1320200110","authors":"R Burns, W Gray Roncal, D leissas, K Lillaney, P Manavalan, E Perlman, D R. Berger, D D. Bock, K Chung,L Grosenick, N Kasthuri, N C. Weiler, K Deisseroth, M Kazhdan, J Lichtman, R. C Reid, S J. Smith, A S. Szalay, J T. Vogelstein, R. J Vogelstein","journal":"Scientific and Statistical Database Management","doi":"10.1145/2484838.2484870","created_at":"2021-09-30T08:24:33.940Z","updated_at":"2021-09-30T11:28:32.042Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 1.0 Generic (CC BY-SA 1.0)","licence_id":188,"licence_url":"https://creativecommons.org/licenses/by-sa/1.0/","link_id":1449,"relation":"undefined"},{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":1448,"relation":"undefined"}],"grants":[{"id":1906,"fairsharing_record_id":2183,"organisation_id":105,"relation":"funds","created_at":"2021-09-30T09:25:24.766Z","updated_at":"2021-09-30T09:29:13.819Z","grant_id":149,"is_lead":false,"saved_state":{"id":105,"name":"Applied Physics Laboratory, John Hopkins University, Maryland, USA","grant":"JHU Applied Research Laboratory IRAD","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":1905,"fairsharing_record_id":2183,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:24.734Z","updated_at":"2021-09-30T09:29:28.762Z","grant_id":263,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"ACI-1261715","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1902,"fairsharing_record_id":2183,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:24.626Z","updated_at":"2021-09-30T09:31:11.699Z","grant_id":1057,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"1R01DA036400-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1904,"fairsharing_record_id":2183,"organisation_id":2931,"relation":"funds","created_at":"2021-09-30T09:25:24.696Z","updated_at":"2021-09-30T09:31:17.608Z","grant_id":1105,"is_lead":false,"saved_state":{"id":2931,"name":"United States Defense Advanced Research Projects Agency (DARPA)","grant":"N66001-14-1-4028","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7898,"fairsharing_record_id":2183,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:33.791Z","updated_at":"2021-09-30T09:29:33.835Z","grant_id":302,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCI-1040114","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9147,"fairsharing_record_id":2183,"organisation_id":1603,"relation":"funds","created_at":"2022-04-11T12:07:17.504Z","updated_at":"2022-04-11T12:07:17.553Z","grant_id":903,"is_lead":false,"saved_state":{"id":1603,"name":"Johns Hopkins University, Baltimore, MD, USA","grant":"JHU Whiting School of Engineering (Dean's Award)","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2190","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T19:50:25.000Z","updated_at":"2023-12-15T10:32:11.708Z","metadata":{"doi":"10.25504/FAIRsharing.ctdss6","name":"VertNet","status":"ready","contacts":[{"contact_name":"Robert Guralnick","contact_email":"robert.guralnick@colorado.edu"}],"homepage":"http://www.vertnet.org/","identifier":2190,"description":"VertNet is a NSF-funded collaborative project that makes biodiversity data free and available on the web. VertNet is a tool designed to help people discover, capture, and publish biodiversity data. It is also the core of a collaboration between hundreds of biocollections that contribute biodiversity data and work together to improve it. VertNet is an engine for training current and future professionals to use and build upon best practices in data quality, curation, research, and data publishing.","abbreviation":"VertNet","data_curation":{"type":"manual"},"support_links":[{"url":"http://form.jotform.us/form/31397097595166","name":"Feedback Form","type":"Contact form"},{"url":"http://www.vertnet.org/resources/help.html","name":"How-To Document","type":"Help documentation"},{"url":"http://portal.vertnet.org/stats","name":"Statistics","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/publications.html","name":"Publications and Videos","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/norms.html","name":"Data Use and Publication","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/georef.html","name":"Georeferencing","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/workshops.html","name":"Training Workshops","type":"Training documentation"},{"url":"https://twitter.com/VertNetOrg","name":"@VertNetOrg","type":"Twitter"}],"data_versioning":"yes","associated_tools":[{"url":"https://cran.r-project.org/web/packages/rvertnet/index.html","name":"VertNet Packages (CRAN)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011058","name":"re3data:r3d100011058","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.vertnet.org/join/join.html#t-tab1","type":"open","notes":"All data is mapped to DarwinCore using the Integrated Publishing Toolkit prior publication."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000664","bsg-d000664"],"name":"FAIRsharing record for: VertNet","abbreviation":"VertNet","url":"https://fairsharing.org/10.25504/FAIRsharing.ctdss6","doi":"10.25504/FAIRsharing.ctdss6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VertNet is a NSF-funded collaborative project that makes biodiversity data free and available on the web. VertNet is a tool designed to help people discover, capture, and publish biodiversity data. It is also the core of a collaboration between hundreds of biocollections that contribute biodiversity data and work together to improve it. VertNet is an engine for training current and future professionals to use and build upon best practices in data quality, curation, research, and data publishing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biodiversity","Life Science"],"domains":["Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1534,"pubmed_id":20169109,"title":"VertNet: a new model for biodiversity data sharing.","year":2010,"url":"http://doi.org/10.1371/journal.pbio.1000309","authors":"Constable H,Guralnick R,Wieczorek J,Spencer C,Peterson AT","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1000309","created_at":"2021-09-30T08:25:11.752Z","updated_at":"2021-09-30T08:25:11.752Z"}],"licence_links":[{"licence_name":"VertNet Data Licensing Guide","licence_id":841,"licence_url":"http://www.vertnet.org/resources/datalicensingguide.html","link_id":1598,"relation":"undefined"}],"grants":[{"id":1932,"fairsharing_record_id":2190,"organisation_id":2878,"relation":"maintains","created_at":"2021-09-30T09:25:25.564Z","updated_at":"2021-09-30T09:25:25.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":2878,"name":"Tulane University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1930,"fairsharing_record_id":2190,"organisation_id":1921,"relation":"maintains","created_at":"2021-09-30T09:25:25.491Z","updated_at":"2021-09-30T09:25:25.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":1921,"name":"Museum of Vertebrate Zoology at Berkeley (MVZ), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1934,"fairsharing_record_id":2190,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:25:25.639Z","updated_at":"2021-09-30T09:25:25.639Z","grant_id":null,"is_lead":false,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1931,"fairsharing_record_id":2190,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:25.522Z","updated_at":"2021-09-30T09:31:57.045Z","grant_id":1401,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1062193","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9164,"fairsharing_record_id":2190,"organisation_id":1622,"relation":"maintains","created_at":"2022-04-11T12:07:18.676Z","updated_at":"2022-04-11T12:07:18.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2191","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T20:05:05.000Z","updated_at":"2023-12-15T10:32:01.002Z","metadata":{"doi":"10.25504/FAIRsharing.8a0a61","name":"Fulgoromorpha Lists On the Web","status":"ready","contacts":[{"contact_name":"Thierry Bourgoin","contact_email":"bourgoin@mnhn.fr","contact_orcid":"0000-0001-9277-2478"}],"homepage":"https://flow.hemiptera-databases.org/flow/","citations":[],"identifier":2191,"description":"Fulgoromorpha Lists On the Web (FLOW) is an online database that aims to provide an easy-access summary of available biological published primary data on planthoppers (Hemiptera, Fulgoromorpha), a group of major economic importance. It includes information on taxonomy, nomenclature, bibliography, distribution and various associated biological information on host-plants and parasites (including fossils).","abbreviation":"FLOW","data_curation":{"type":"manual"},"support_links":[{"url":"https://flow.hemiptera-databases.org/flow/?db=flow\u0026page=project\u0026lang=en","type":"Help documentation"},{"url":"https://twitter.com/FLOWwebsite","type":"Twitter"}],"year_creation":1996,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found","notes":"The database encourages authors to send can of their recent papers to speed up updates."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000665","bsg-d000665"],"name":"FAIRsharing record for: Fulgoromorpha Lists On the Web","abbreviation":"FLOW","url":"https://fairsharing.org/10.25504/FAIRsharing.8a0a61","doi":"10.25504/FAIRsharing.8a0a61","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Fulgoromorpha Lists On the Web (FLOW) is an online database that aims to provide an easy-access summary of available biological published primary data on planthoppers (Hemiptera, Fulgoromorpha), a group of major economic importance. It includes information on taxonomy, nomenclature, bibliography, distribution and various associated biological information on host-plants and parasites (including fossils).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Life Science"],"domains":[],"taxonomies":["Fulgoroidea","Fulgoromorpha","Hemiptera","Insecta"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":1935,"fairsharing_record_id":2191,"organisation_id":1920,"relation":"maintains","created_at":"2021-09-30T09:25:25.681Z","updated_at":"2021-09-30T09:25:25.681Z","grant_id":null,"is_lead":false,"saved_state":{"id":1920,"name":"Museum National d'Histoire Naturelle (MNHN), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1936,"fairsharing_record_id":2191,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:25.723Z","updated_at":"2021-09-30T09:25:25.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2185","type":"fairsharing_records","attributes":{"created_at":"2015-01-26T10:34:51.000Z","updated_at":"2023-12-15T10:32:41.330Z","metadata":{"doi":"10.25504/FAIRsharing.q9neh8","name":"MGI Mouse Gene Expression Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"mgi-help@jax.org"}],"homepage":"http://www.informatics.jax.org/expression.shtml","citations":[{"doi":"10.1093/nar/gkaa914","pubmed_id":33104772,"publication_id":1721}],"identifier":2185,"description":"The Gene Expression Database (GXD) is a community resource for gene expression information from the laboratory mouse. GXD stores and integrates different types of expression data and makes these data freely available in formats appropriate for comprehensive analysis. There is particular emphasis on endogenous gene expression during mouse development.","abbreviation":"GXD","data_curation":{"url":"https://www.informatics.jax.org/expression.shtml","type":"manual","notes":"All data entered into GXD are reviewed by a team of experienced curators."},"support_links":[{"url":"http://www.informatics.jax.org/mgihome/GXD/FirstTimeUsers.shtml","name":"Help for First-Time Users","type":"Help documentation"},{"url":"http://www.informatics.jax.org/mgihome/homepages/stats/all_stats.shtml#allstats_gxd","name":"Statistics","type":"Help documentation"},{"url":"http://www.informatics.jax.org/mgihome/GXD/aboutGXD.shtml","name":"About GXD","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.informatics.jax.org/submit.shtml","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000659","bsg-d000659"],"name":"FAIRsharing record for: MGI Mouse Gene Expression Database","abbreviation":"GXD","url":"https://fairsharing.org/10.25504/FAIRsharing.q9neh8","doi":"10.25504/FAIRsharing.q9neh8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene Expression Database (GXD) is a community resource for gene expression information from the laboratory mouse. GXD stores and integrates different types of expression data and makes these data freely available in formats appropriate for comprehensive analysis. There is particular emphasis on endogenous gene expression during mouse development.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18219},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12709}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Transcriptomics"],"domains":["Expression data","Model organism","RNA sequencing","Genome"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":719,"pubmed_id":24958384,"title":"The gene expression database for mouse development (GXD): Putting developmental expression information at your fingertips.","year":2014,"url":"http://doi.org/10.1002/dvdy.24155","authors":"Smith CM, Finger JH, Kadin JA, Richardson JE, Ringwald M.","journal":"Developmental Dynamics","doi":"10.1002/dvdy.24155","created_at":"2021-09-30T08:23:39.244Z","updated_at":"2021-09-30T08:23:39.244Z"},{"id":720,"pubmed_id":24163257,"title":"The mouse Gene Expression Database (GXD): 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt954","authors":"Smith CM, Finger JH, Hayamizu TF, McCright IJ, Xu J, Berghout J, Campbell J, Corbani LE, Forthofer KL, Frost PJ, Miers D, Shaw DR, Stone KR, Eppig JT, Kadin JA, Richardson JE, Ringwald M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt954","created_at":"2021-09-30T08:23:39.353Z","updated_at":"2021-09-30T08:23:39.353Z"},{"id":721,"pubmed_id":21062809,"title":"The mouse Gene Expression Database (GXD): 2011 update.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1132","authors":"Finger JH, Smith CM, Hayamizu TF, McCright IJ, Eppig JT, Kadin JA, Richardson JE, Ringwald M.","journal":"Nucleic Acids Res 39 (suppl. 1)","doi":"10.1093/nar/gkq1132","created_at":"2021-09-30T08:23:39.461Z","updated_at":"2021-09-30T08:23:39.461Z"},{"id":1721,"pubmed_id":33104772,"title":"The mouse Gene Expression Database (GXD): 2021 update.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa914","authors":"Baldarelli RM,Smith CM,Finger JH,Hayamizu TF,McCright IJ,Xu J,Shaw DR,Beal JS,Blodgett O,Campbell J,Corbani LE,Frost PJ,Giannatto SC,Miers DB,Kadin JA,Richardson JE,Ringwald M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa914","created_at":"2021-09-30T08:25:32.860Z","updated_at":"2021-09-30T11:29:19.260Z"},{"id":2128,"pubmed_id":17130151,"title":"The mouse Gene Expression Database (GXD): 2007 update.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1003","authors":"Smith CM, Finger JH, Hayamizu TF, McCright IJ, Eppig JT, Kadin JA, Richardson JE, Ringwald, M.","journal":"Nucleic Acids Res. (Database Issue)","doi":"10.1093/nar/gkl1003","created_at":"2021-09-30T08:26:19.991Z","updated_at":"2021-09-30T08:26:19.991Z"},{"id":2138,"pubmed_id":11125060,"title":"The Mouse Gene Expression Database (GXD).","year":2000,"url":"http://doi.org/10.1093/nar/29.1.98","authors":"Ringwald M, Eppig JT, Begley DA, Corradi JP, McCright IJ, Hayamizu TF, Hill DP, Kadin JA, Richardson JE.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.98","created_at":"2021-09-30T08:26:21.032Z","updated_at":"2021-09-30T08:26:21.032Z"},{"id":2140,"pubmed_id":30335138,"title":"The mouse Gene Expression Database (GXD): 2019 update.","year":2018,"url":"http://doi.org/10.1093/nar/gky922","authors":"Smith CM,Hayamizu TF,Finger JH,Bello SM,McCright IJ,Xu J,Baldarelli RM,Beal JS,Campbell J,Corbani LE,Frost PJ,Lewis JR,Giannatto SC,Miers D,Shaw DR,Kadin JA,Richardson JE,Smith CL,Ringwald M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky922","created_at":"2021-09-30T08:26:21.256Z","updated_at":"2021-09-30T11:29:29.994Z"}],"licence_links":[{"licence_name":"MGI Warranty Disclaimer and Copyright Notice","licence_id":511,"licence_url":"http://www.informatics.jax.org/mgihome/other/copyright.shtml","link_id":493,"relation":"undefined"}],"grants":[{"id":1909,"fairsharing_record_id":2185,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:24.848Z","updated_at":"2021-09-30T09:31:08.671Z","grant_id":1037,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"HD062499","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1910,"fairsharing_record_id":2185,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:24.873Z","updated_at":"2021-09-30T09:25:24.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2175","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:44.223Z","metadata":{"doi":"10.25504/FAIRsharing.rt38zh","name":"Compartmentalized Protein-Protein Interaction","status":"ready","contacts":[{"contact_name":"Daniel Veres","contact_email":"veres.daniel1@med.semmelweis-univ.hu","contact_orcid":"0000-0002-2968-0666"}],"homepage":"http://comppi.linkgroup.hu/","citations":[],"identifier":2175,"description":"The compartmentalized protein-protein interaction database (ComPPI), provides qualitative information on the interactions, proteins and their localizations integrated from multiple databases for protein-protein interaction network analysis.","abbreviation":"ComPPI","data_curation":{"url":"http://comppi.linkgroup.hu/help/plans","type":"manual","notes":"ComPPI is a community-annotation resource, which will be continuously enriched by a user-community of experts helped by a public issue tracking system and by feedbacks from the core team."},"support_links":[{"url":"http://comppi.linkgroup.hu/contact","type":"Contact form"},{"url":"http://comppi.linkgroup.hu/help","type":"Help documentation"},{"url":"http://comppi.linkgroup.hu/help/tutorial","type":"Training documentation"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"url":"http://comppi.linkgroup.hu/help/terms_of_use","type":"open","notes":"The ComPPI database and the related source code are entirely open to the public"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000648","bsg-d000648"],"name":"FAIRsharing record for: Compartmentalized Protein-Protein Interaction","abbreviation":"ComPPI","url":"https://fairsharing.org/10.25504/FAIRsharing.rt38zh","doi":"10.25504/FAIRsharing.rt38zh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The compartmentalized protein-protein interaction database (ComPPI), provides qualitative information on the interactions, proteins and their localizations integrated from multiple databases for protein-protein interaction network analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Network model","Interactome","Cellular component","Cellular localization","Confidence score"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":692,"pubmed_id":null,"title":"ComPPI: a cellular compartment-specific database for protein-protein interaction network analysis","year":2015,"url":"https://doi.org/10.1093/nar/gku1007","authors":"Veres, V.D., Gyurko, M.D., Thaler, B., Szalay, K., Fazekas, D., Korcsmaros, T. and Csermely, P.","journal":"Nucleic Acid Res. Database Issue","doi":null,"created_at":"2021-09-30T08:23:36.269Z","updated_at":"2021-09-30T11:28:30.439Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":903,"relation":"undefined"}],"grants":[{"id":1876,"fairsharing_record_id":2175,"organisation_id":2121,"relation":"maintains","created_at":"2021-09-30T09:25:23.744Z","updated_at":"2021-09-30T09:25:23.744Z","grant_id":null,"is_lead":false,"saved_state":{"id":2121,"name":"NetBiol, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1878,"fairsharing_record_id":2175,"organisation_id":2545,"relation":"maintains","created_at":"2021-09-30T09:25:23.825Z","updated_at":"2021-09-30T09:25:23.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":2545,"name":"Semmelweis University, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1877,"fairsharing_record_id":2175,"organisation_id":1720,"relation":"maintains","created_at":"2021-09-30T09:25:23.787Z","updated_at":"2021-09-30T09:25:23.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1720,"name":"Link-Group, Budapest, Hungary","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1879,"fairsharing_record_id":2175,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:25:23.862Z","updated_at":"2021-09-30T09:29:54.253Z","grant_id":460,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"OTKA-K83314","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2184","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T10:43:25.000Z","updated_at":"2023-12-15T10:30:00.865Z","metadata":{"doi":"10.25504/FAIRsharing.vcmz9h","name":"SICAS Medical Image Repository","status":"ready","contacts":[{"contact_name":"Michael Kistler","contact_email":"michael.kistler@si-cas.com","contact_orcid":"0000-0002-1273-9473"}],"homepage":"https://www.smir.ch","citations":[],"identifier":2184,"description":"The Sicas Medical Image Repository is a medical database for academic, scientific, technical and clinical biomedical research and collaboration. Registration is required for data download and usage, although browsing and searching is available without registration.","abbreviation":"SMIR","data_curation":{"type":"manual"},"support_links":[{"url":"https://blog.smir.ch","name":"SMIR Blog","type":"Blog/News"},{"url":"support@smir.ch","name":"support@smir.ch","type":"Support email"},{"url":"https://docs.smir.ch","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/SICASFoundation","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/sicas_ch","name":"@sicas_ch","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/SICASFoundation/vsdConnect","name":"vsdConnect - Python library to connect to the SMIR API 0.8.1"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011560","name":"re3data:r3d100011560","portal":"re3data"}],"data_access_condition":{"type":"controlled"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Registration required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000658","bsg-d000658"],"name":"FAIRsharing record for: SICAS Medical Image Repository","abbreviation":"SMIR","url":"https://fairsharing.org/10.25504/FAIRsharing.vcmz9h","doi":"10.25504/FAIRsharing.vcmz9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sicas Medical Image Repository is a medical database for academic, scientific, technical and clinical biomedical research and collaboration. Registration is required for data download and usage, although browsing and searching is available without registration.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10990}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Biomedical Science"],"domains":["Image","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":709,"pubmed_id":24220210,"title":"The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration","year":2013,"url":"http://doi.org/10.2196/jmir.2930","authors":"Kistler, Michael; Bonaretti, Serena; Pfahrer, Marcel; Niklaus, Roman; Büchler, Philippe","journal":"Journal of Medical Internet Research","doi":"10.2196/jmir.2930","created_at":"2021-09-30T08:23:38.185Z","updated_at":"2021-09-30T08:23:38.185Z"}],"licence_links":[{"licence_name":"SMIR Terms and Conditions","licence_id":750,"licence_url":"https://www.smir.ch/Home/TermsAndConditions","link_id":620,"relation":"undefined"}],"grants":[{"id":1908,"fairsharing_record_id":2184,"organisation_id":2681,"relation":"maintains","created_at":"2021-09-30T09:25:24.823Z","updated_at":"2021-09-30T09:25:24.823Z","grant_id":null,"is_lead":true,"saved_state":{"id":2681,"name":"Swiss Institute for Computer Assisted Surgery","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2273","type":"fairsharing_records","attributes":{"created_at":"2016-04-08T15:42:45.000Z","updated_at":"2023-12-15T10:32:58.404Z","metadata":{"doi":"10.25504/FAIRsharing.ja871b","name":"EORTC clinical trials","status":"ready","homepage":"http://www.eortc.org/clinical-trials/","identifier":2273,"description":"European Organisation for Research and Treatment of Cancer database of clinical trials.","abbreviation":"EORTC","data_curation":{"type":"none"},"support_links":[{"url":"http://www.eortc.org/contact/","type":"Contact form"}],"data_versioning":"not found","data_access_condition":{"url":"https://www.eortc.org/app/uploads/2023/06/L-01-AF-01.pdf","type":"controlled","notes":"EORTC charges an administrative fee for managing and processing approved requests."},"data_contact_information":"not found","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000747","bsg-d000747"],"name":"FAIRsharing record for: EORTC clinical trials","abbreviation":"EORTC","url":"https://fairsharing.org/10.25504/FAIRsharing.ja871b","doi":"10.25504/FAIRsharing.ja871b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: European Organisation for Research and Treatment of Cancer database of clinical trials.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12746}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Cancer","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":2194,"fairsharing_record_id":2273,"organisation_id":948,"relation":"funds","created_at":"2021-09-30T09:25:35.311Z","updated_at":"2021-09-30T09:25:35.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":948,"name":"European Organisation for Research and Treatment of Cancer","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2275","type":"fairsharing_records","attributes":{"created_at":"2016-04-12T13:15:57.000Z","updated_at":"2023-12-15T10:32:19.732Z","metadata":{"doi":"10.25504/FAIRsharing.yfk4w2","name":"Genomics England | PanelApp","status":"ready","contacts":[{"contact_name":"PanelApp team","contact_email":"panelapp@genomicsengland.co.uk"}],"homepage":"https://panelapp.genomicsengland.co.uk/","citations":[],"identifier":2275,"description":"Genomics England PanelApp is a publically-available knowledgebase that allows virtual gene panels related to human disorders to be created, stored and queried. It includes a crowdsourcing tool that allows genes to be added or reviewed by experts throughout the worldwide scientific community, providing an opportunity for the standardisation of gene panels, and a consensus on which genes have sufficient evidence for disease association. The diagnostic grade ‘Green’ genes and their modes of inheritance in the Version 1+ PanelApp virtual gene panels are used to direct the variant tiering process for the interpretation of genomes in the 100,000 Genomes Project and for the National Health Service England Genomic Medicine Service. As panels in PanelApp are publically available, they can also be utilised by others. Experts are asked to register (https://panelapp.genomicsengland.co.uk/accounts/registration/) in order to review and rate the genes on the panel to indicate whether there is a diagnostic-grade level of evidence for the gene to be implicated in a given disease. Bioinformaticians can access the data via the PanelApp API (https://panelapp.genomicsengland.co.uk/#!API). More detailed background information, instructions and updates can be found on the PanelApp homepage tabs.","abbreviation":"PanelApp","data_curation":{"url":"https://panelapp.genomicsengland.co.uk/#!Reviewers","type":"manual","notes":"PanelApp has a crowdsourcing review tool to allow each gene to be reviewed and commented on by experts within the scientific community."},"support_links":[{"url":"https://panelapp.genomicsengland.co.uk/#!News","name":"News","type":"Blog/News"},{"url":"https://panelapp.genomicsengland.co.uk/#!FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://panelapp.genomicsengland.co.uk/","type":"Help documentation"},{"url":"https://panelapp.genomicsengland.co.uk/#!Navigating","type":"Help documentation"},{"url":"https://panelapp.genomicsengland.co.uk/#!Guidelines","name":"Guidelines","type":"Help documentation"},{"url":"https://twitter.com/GenomicsEngland","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://panelapp.genomicsengland.co.uk/","name":"PanelApp"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://panelapp.genomicsengland.co.uk/#!FAQs","type":"open","notes":"Template form can be sent by email upon request for submission of panels of genes from experts for the rare diseases covered in the 100,000 Genomes Project."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000749","bsg-d000749"],"name":"FAIRsharing record for: Genomics England | PanelApp","abbreviation":"PanelApp","url":"https://fairsharing.org/10.25504/FAIRsharing.yfk4w2","doi":"10.25504/FAIRsharing.yfk4w2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genomics England PanelApp is a publically-available knowledgebase that allows virtual gene panels related to human disorders to be created, stored and queried. It includes a crowdsourcing tool that allows genes to be added or reviewed by experts throughout the worldwide scientific community, providing an opportunity for the standardisation of gene panels, and a consensus on which genes have sufficient evidence for disease association. The diagnostic grade ‘Green’ genes and their modes of inheritance in the Version 1+ PanelApp virtual gene panels are used to direct the variant tiering process for the interpretation of genomes in the 100,000 Genomes Project and for the National Health Service England Genomic Medicine Service. As panels in PanelApp are publically available, they can also be utilised by others. Experts are asked to register (https://panelapp.genomicsengland.co.uk/accounts/registration/) in order to review and rate the genes on the panel to indicate whether there is a diagnostic-grade level of evidence for the gene to be implicated in a given disease. Bioinformaticians can access the data via the PanelApp API (https://panelapp.genomicsengland.co.uk/#!API). More detailed background information, instructions and updates can be found on the PanelApp homepage tabs.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12325},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12748}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Virology","Life Science","Epidemiology"],"domains":["Cancer","Rare disease","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":3014,"pubmed_id":31676867,"title":"PanelApp crowdsources expert knowledge to establish consensus diagnostic gene panels.","year":2019,"url":"http://doi.org/10.1038/s41588-019-0528-2","authors":"Martin AR,Williams E,Foulger RE,Leigh S,Daugherty LC,Niblock O,Leong IUS,Smith KR,Gerasimenko O,Haraldsdottir E,Thomas E,Scott RH,Baple E,Tucci A,Brittain H,de Burca A,Ibanez K,Kasperaviciute D,Smedley D,Caulfield M,Rendon A,McDonagh EM","journal":"Nat Genet","doi":"10.1038/s41588-019-0528-2","created_at":"2021-09-30T08:28:11.566Z","updated_at":"2021-09-30T08:28:11.566Z"}],"licence_links":[{"licence_name":"PanelApp Terms of Use","licence_id":644,"licence_url":"https://panelapp.genomicsengland.co.uk/media/files/GEL_-_PanelApp_Terms_of_Use_December_2019.pdf","link_id":1668,"relation":"undefined"}],"grants":[{"id":2197,"fairsharing_record_id":2275,"organisation_id":1116,"relation":"maintains","created_at":"2021-09-30T09:25:35.429Z","updated_at":"2021-09-30T09:25:35.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":1116,"name":"Genomics England, London, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2276","type":"fairsharing_records","attributes":{"created_at":"2016-04-13T08:55:39.000Z","updated_at":"2023-06-22T17:03:44.300Z","metadata":{"doi":"10.25504/FAIRsharing.hs4d6r","name":"miRandola: extracellular circulating RNAs database","status":"ready","contacts":[{"contact_name":"Francesco Russo","contact_email":"francesco.russo@iit.cnr.it","contact_orcid":"0000-0001-9257-4359"}],"homepage":"http://mirandola.iit.cnr.it/","citations":[],"identifier":2276,"description":"The miRandola database is the first resource for extracellular circulating RNAs. The first version of the database has been published on Plos One in 2012. It mainly contains information on circulating microRNAs and other non-coding RNAs. It is manually curated and constantly updated by the authors (usually once a year). We have extracted data from PubMed papers and Exocarta (a database that collects data regarding exosomes). We report information on methods of RNA extraction and qualification, diseases, experimental description, expression data and the potential biomarker role. We are updating the database with other RNAs and the future direction is to have a portal for all the non invasive biomarkers such as cell free DNA and circulating tumor cells.","abbreviation":"miRandola","data_curation":{"url":"http://mirandola.iit.cnr.it/about.php","type":"manual"},"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"http://ferrolab.dmi.unict.it/miro/","name":"miRo'"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000750","bsg-d000750"],"name":"FAIRsharing record for: miRandola: extracellular circulating RNAs database","abbreviation":"miRandola","url":"https://fairsharing.org/10.25504/FAIRsharing.hs4d6r","doi":"10.25504/FAIRsharing.hs4d6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The miRandola database is the first resource for extracellular circulating RNAs. The first version of the database has been published on Plos One in 2012. It mainly contains information on circulating microRNAs and other non-coding RNAs. It is manually curated and constantly updated by the authors (usually once a year). We have extracted data from PubMed papers and Exocarta (a database that collects data regarding exosomes). We report information on methods of RNA extraction and qualification, diseases, experimental description, expression data and the potential biomarker role. We are updating the database with other RNAs and the future direction is to have a portal for all the non invasive biomarkers such as cell free DNA and circulating tumor cells.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics"],"domains":["Biomarker","Cancer","Vesicle","Extracellular exosome","Long non-coding ribonucleic acid","Circulating cell-free RNA","Micro RNA","Non-coding RNA","Cardiovascular disease"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1017,"pubmed_id":23094086,"title":"miRandola: extracellular circulating microRNAs database.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0047786","authors":"Russo F, Di Bella S, Nigita G, Macca V, Laganà A, Giugno R, Pulvirenti A, Ferro A","journal":"Plos One","doi":"10.1371/journal.pone.0047786","created_at":"2021-09-30T08:24:12.588Z","updated_at":"2021-09-30T08:24:12.588Z"},{"id":1018,"pubmed_id":25077952,"title":"A knowledge base for the discovery of function, diagnostic potential and drug effects on cellular and extracellular miRNAs.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-S3-S4","authors":"Russo F, Di Bella S, Bonnici V, Laganà A, Rainaldi G, Pellegrini M, Pulvirenti A, Giugno R, Ferro A","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-S3-S4","created_at":"2021-09-30T08:24:12.748Z","updated_at":"2021-09-30T08:24:12.748Z"}],"licence_links":[],"grants":[{"id":2198,"fairsharing_record_id":2276,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:25:35.471Z","updated_at":"2021-09-30T09:25:35.471Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2202,"fairsharing_record_id":2276,"organisation_id":3040,"relation":"maintains","created_at":"2021-09-30T09:25:35.628Z","updated_at":"2021-09-30T09:25:35.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":3040,"name":"University of Catania, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2199,"fairsharing_record_id":2276,"organisation_id":2237,"relation":"maintains","created_at":"2021-09-30T09:25:35.508Z","updated_at":"2021-09-30T09:25:35.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":2237,"name":"Ohio State University, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2200,"fairsharing_record_id":2276,"organisation_id":1411,"relation":"maintains","created_at":"2021-09-30T09:25:35.545Z","updated_at":"2021-09-30T09:25:35.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":1411,"name":"Institute of Clinical Physiology (IFC-CNR), Pisa, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2201,"fairsharing_record_id":2276,"organisation_id":1419,"relation":"maintains","created_at":"2021-09-30T09:25:35.583Z","updated_at":"2021-09-30T09:25:35.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":1419,"name":"Institute of Informatics and Telematics (ITT), National Research Council, Pisa, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2280","type":"fairsharing_records","attributes":{"created_at":"2016-04-13T16:28:43.000Z","updated_at":"2024-06-17T09:07:57.920Z","metadata":{"doi":"10.25504/FAIRsharing.p5f1j4","name":"Deciphering the Mechanisms of Developmental Disorders","status":"deprecated","contacts":[{"contact_name":"Contact","contact_email":"contact@dmdd.org.uk"}],"homepage":"https://dmdd.org.uk","citations":[],"identifier":2280,"description":"Initiated in 2013, DMDD has the ambitious goal of identifying all embryonic lethal knockout lines made at the Wellcome Trust Sanger institute, through their work as a major centre for creation of individual mouse gene knockouts. DMDD uses a combination of comprehensive 3D imaging, tissue histology, immunocytochemistry and transcriptomics to identify abnormalities in embryo and placental structure for each embryonic lethal line. All data is made freely available via this web site, enabling individual researchers to identify lines relevant to their own research. The DMDD programme is coordinating its work with similar international efforts through the umbrella of the International Mouse Phenotyping Consortium.","abbreviation":"DMDD","data_curation":{"type":"not found"},"support_links":[{"url":"contact@dmdd.org.uk","type":"Support email"},{"url":"https://twitter.com/dmdduk","type":"Twitter"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2024-06-14","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000754","bsg-d000754"],"name":"FAIRsharing record for: Deciphering the Mechanisms of Developmental Disorders","abbreviation":"DMDD","url":"https://fairsharing.org/10.25504/FAIRsharing.p5f1j4","doi":"10.25504/FAIRsharing.p5f1j4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Initiated in 2013, DMDD has the ambitious goal of identifying all embryonic lethal knockout lines made at the Wellcome Trust Sanger institute, through their work as a major centre for creation of individual mouse gene knockouts. DMDD uses a combination of comprehensive 3D imaging, tissue histology, immunocytochemistry and transcriptomics to identify abnormalities in embryo and placental structure for each embryonic lethal line. All data is made freely available via this web site, enabling individual researchers to identify lines relevant to their own research. The DMDD programme is coordinating its work with similar international efforts through the umbrella of the International Mouse Phenotyping Consortium.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Developmental Biology"],"domains":["Imaging","Disease phenotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1045,"pubmed_id":26519470,"title":"Deciphering the mechanisms of developmental disorders: phenotype analysis of embryos from mutant mouse lines.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1138","authors":"Wilson R,McGuire C,Mohun T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1138","created_at":"2021-09-30T08:24:15.695Z","updated_at":"2021-09-30T11:28:57.284Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":856,"relation":"undefined"}],"grants":[{"id":2206,"fairsharing_record_id":2280,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:35.750Z","updated_at":"2021-09-30T09:25:35.750Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2207,"fairsharing_record_id":2280,"organisation_id":1046,"relation":"maintains","created_at":"2021-09-30T09:25:35.783Z","updated_at":"2021-09-30T09:25:35.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":1046,"name":"Francis Crick Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2291","type":"fairsharing_records","attributes":{"created_at":"2016-04-21T19:43:20.000Z","updated_at":"2024-02-27T17:02:39.644Z","metadata":{"doi":"10.25504/FAIRsharing.exc0vp","name":"iDog","status":"ready","contacts":[{"contact_name":"Wang Yanqing","contact_email":"wangyanqing@big.ac.cn"}],"homepage":"https://ngdc.cncb.ac.cn/idog/","citations":[{"doi":"10.1093/nar/gku1174","pubmed_id":25404132,"publication_id":1122}],"identifier":2291,"description":"iDog is an integrated resource for domestic dog (Canis lupus familiaris) and wild canids that provides the worldwide dog research community a variety of data services. This includes Genes, Genomes, SNPs, Breed/Disease Traits, Gene Expressions, Single Cell, Dog-Human Homolog Diseases and Literatures. In addition, iDog provides Online tools for performing genomic data visualization and analyses.","abbreviation":"iDog","data_curation":{"type":"not found"},"support_links":[{"url":"http://bigd.big.ac.cn/idog/pages/help/dogsd_help.jsp","name":"How to use Dog Genome Database (DogGD) ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/tutorial.jsp","name":"Tutorial","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/idog_breeds_nomenclature.jsp","name":"iDog Breeds Nomenclature ","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/gene_query.jsp","name":"Gene Query Help","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/dogpd_help.jsp","name":"How to use Dog Phenotype Database (DogPD) ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/doged_help.jsp","name":"How to use Dog Expression Database (DogED) ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/dogonline_help.jsp","name":"How to use DogOnline ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"idog@big.ac.cn","name":" iDog Helpdesk","type":"Support email"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"https://ngdc.cncb.ac.cn/egpscloud/data/app/egpscloud@big.ac.cn/bwa/conf/page.jsp?appId=270\u0026appCreateBy=egpscloud@big.ac.cn\u0026appName=bwa\u0026fromidog=1","name":"BWA"},{"url":"https://ngdc.cncb.ac.cn/dogvc/","name":"Dog Visual Classification"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012176","name":"re3data:r3d100012176","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000765","bsg-d000765"],"name":"FAIRsharing record for: iDog","abbreviation":"iDog","url":"https://fairsharing.org/10.25504/FAIRsharing.exc0vp","doi":"10.25504/FAIRsharing.exc0vp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iDog is an integrated resource for domestic dog (Canis lupus familiaris) and wild canids that provides the worldwide dog research community a variety of data services. This includes Genes, Genomes, SNPs, Breed/Disease Traits, Gene Expressions, Single Cell, Dog-Human Homolog Diseases and Literatures. In addition, iDog provides Online tools for performing genomic data visualization and analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Genetics","Comparative Genomics"],"domains":["Expression data","Genome annotation","Genome visualization","Gene functional annotation","Gene expression","Single nucleotide polymorphism","Genome","Gene-disease association"],"taxonomies":["Canis familiaris","Canis lupus","Cuon alpinus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1122,"pubmed_id":25404132,"title":"DoGSD: the dog and wolf genome SNP database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1174","authors":"Bai B,Zhao WM,Tang BX,Wang YQ,Wang L,Zhang Z,Yang HC,Liu YH,Zhu JW,Irwin DM,Wang GD,Zhang YP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1174","created_at":"2021-09-30T08:24:24.279Z","updated_at":"2021-09-30T11:28:59.560Z"},{"id":2807,"pubmed_id":30371881,"title":"iDog: an integrated resource for domestic dogs and wild canids.","year":2018,"url":"http://doi.org/10.1093/nar/gky1041","authors":"Tang B,Zhou Q,Dong L,Li W,Zhang X,Lan L,Zhai S,Xiao J,Zhang Z,Bao Y,Zhang YP,Wang GD,Zhao W","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1041","created_at":"2021-09-30T08:27:45.170Z","updated_at":"2021-09-30T11:29:45.354Z"},{"id":3144,"pubmed_id":33175170,"title":"Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa1022","authors":"CNCB-NGDC Members and Partners.","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa1022","created_at":"2021-12-02T14:55:04.738Z","updated_at":"2021-12-02T14:55:04.738Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":3514,"relation":"applies_to_content"},{"licence_name":"NGDC Data Usage Policy","licence_id":575,"licence_url":"https://bigd.big.ac.cn/policies","link_id":80,"relation":"undefined"}],"grants":[{"id":2226,"fairsharing_record_id":2291,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:25:36.477Z","updated_at":"2021-09-30T09:25:36.477Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2292","type":"fairsharing_records","attributes":{"created_at":"2016-04-24T12:29:07.000Z","updated_at":"2021-11-24T13:19:31.831Z","metadata":{"doi":"10.25504/FAIRsharing.1v4zw7","name":"OmicsDB","status":"deprecated","contacts":[{"contact_name":"Keiron O'Shea","contact_email":"keo7@aber.ac.uk","contact_orcid":"0000-0002-9043-3496"}],"homepage":"https://github.com/KeironO/omicsdb","identifier":2292,"description":"OmicsDB is a database for the storage and management of omics data and auxiliary information. The database contains cross-species, cross-technique and cross-types. It offers user-submission tools of which aim to reduce the work revolving adherence to standards. The resource homepage is currently unavailable. If you have any information on the current status of this resource, please contact us.","abbreviation":"ODB","data_curation":{"type":"not found"},"year_creation":2016,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000766","bsg-d000766"],"name":"FAIRsharing record for: OmicsDB","abbreviation":"ODB","url":"https://fairsharing.org/10.25504/FAIRsharing.1v4zw7","doi":"10.25504/FAIRsharing.1v4zw7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OmicsDB is a database for the storage and management of omics data and auxiliary information. The database contains cross-species, cross-technique and cross-types. It offers user-submission tools of which aim to reduce the work revolving adherence to standards. The resource homepage is currently unavailable. If you have any information on the current status of this resource, please contact us.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":[],"taxonomies":["All","Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1379,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2293","type":"fairsharing_records","attributes":{"created_at":"2016-04-26T13:27:00.000Z","updated_at":"2024-02-21T11:49:08.314Z","metadata":{"doi":"10.25504/FAIRsharing.4shj9c","name":"dictyBase","status":"ready","contacts":[{"contact_name":"dictyBase Helpdesk","contact_email":"dictybase@northwestern.edu"}],"homepage":"http://www.dictybase.org","citations":[{"doi":"10.1007/978-1-62703-302-2_4","pubmed_id":23494302,"publication_id":2107}],"identifier":2293,"description":"dictyBase is a single-access database for the complete genome sequence and expression data of four Dictyostelid species providing information on research, genome and annotations. There is also a repository of plasmids and strains held at the Dicty Stock Centre. Relevant literature is integrated into the database, and gene models and functional annotation are manually curated from experimental results and comparative multigenome analyses. Please note that, while the homepage we have listed (http://www.dictybase.org/) is accessible, its front page suggests redirection to https://dictycr.org/ which is not accessible. Therefore we are unsure of the status of this resource.","abbreviation":null,"data_curation":{"url":"http://www.dictybase.org/FAQ/FAQ.html#curation","type":"manual"},"support_links":[{"url":"http://dictybase.org/FAQ/HelpFilesIndex.html","name":"dictyBase Help","type":"Help documentation"},{"url":"http://dictybase.org/About_dictyBase/","name":"About dictyBase","type":"Help documentation"},{"url":"http://dictybase.org/tutorial/","name":"Tutorial","type":"Training documentation"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"http://dictybase.org/tools/jbrowse/","name":"JBrowse 1.11.6"},{"url":"http://dictybase.org/browser/gbrowse/discoideum/?name=1:1..30000","name":"Genome Browser"},{"url":"http://dictybase.org/tools/blast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010586","name":"re3data:r3d100010586","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006643","name":"SciCrunch:RRID:SCR_006643","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000767","bsg-d000767"],"name":"FAIRsharing record for: dictyBase","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4shj9c","doi":"10.25504/FAIRsharing.4shj9c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dictyBase is a single-access database for the complete genome sequence and expression data of four Dictyostelid species providing information on research, genome and annotations. There is also a repository of plasmids and strains held at the Dicty Stock Centre. Relevant literature is integrated into the database, and gene models and functional annotation are manually curated from experimental results and comparative multigenome analyses. Please note that, while the homepage we have listed (http://www.dictybase.org/) is accessible, its front page suggests redirection to https://dictycr.org/ which is not accessible. Therefore we are unsure of the status of this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Life Science","Comparative Genomics"],"domains":["Codon usage table","Gene functional annotation","Cellular component","Plasmid","Phenotype","Genome","Genetic strain"],"taxonomies":["Dictyostelium discoideum","Dictyostelium fasciculatum","Dictyostelium purpureum","Polysphondylium pallidum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2107,"pubmed_id":23494302,"title":"One stop shop for everything Dictyostelium: dictyBase and the Dicty Stock Center in 2012.","year":2013,"url":"http://doi.org/10.1007/978-1-62703-302-2_4","authors":"Fey P,Dodson RJ,Basu S,Chisholm RL","journal":"Methods Mol Biol","doi":"10.1007/978-1-62703-302-2_4","created_at":"2021-09-30T08:26:17.466Z","updated_at":"2021-09-30T08:26:17.466Z"},{"id":2108,"pubmed_id":23172289,"title":"DictyBase 2013: integrating multiple Dictyostelid species.","year":2012,"url":"http://doi.org/10.1093/nar/gks1064","authors":"Basu S,Fey P,Pandit Y,Dodson R,Kibbe WA,Chisholm RL","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1064","created_at":"2021-09-30T08:26:17.572Z","updated_at":"2021-09-30T11:29:28.586Z"},{"id":2109,"pubmed_id":14681427,"title":"dictyBase: a new Dictyostelium discoideum genome database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh138","authors":"Kreppel L,Fey P,Gaudet P,Just E,Kibbe WA,Chisholm RL,Kimmel AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh138","created_at":"2021-09-30T08:26:17.764Z","updated_at":"2021-09-30T11:29:28.731Z"}],"licence_links":[],"grants":[{"id":2228,"fairsharing_record_id":2293,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:36.555Z","updated_at":"2021-09-30T09:25:36.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2231,"fairsharing_record_id":2293,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:36.666Z","updated_at":"2021-09-30T09:25:36.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2229,"fairsharing_record_id":2293,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:25:36.596Z","updated_at":"2024-02-21T09:12:17.881Z","grant_id":null,"is_lead":true,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2283","type":"fairsharing_records","attributes":{"created_at":"2016-04-19T10:01:57.000Z","updated_at":"2024-01-25T10:12:28.234Z","metadata":{"doi":"10.25504/FAIRsharing.ekj9zx","name":"Standards for Reporting Enzymology Data Database","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"strenda@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-strenda-db.org/strenda/","citations":[{"doi":"10.1111/febs.14427","pubmed_id":29498804,"publication_id":3082}],"identifier":2283,"description":"STRENDA DB is a storage and search platform supported by the Beilstein-Institut that incorporates the STRENDA Guidelines in a user-friendly, web-based system. If you are an author who is preparing a manuscript containing functional enzymology data, STRENDA DB provides you the means to ensure that your data sets are complete and valid before you submit them as part of a publication to a journal. Data entered in the STRENDA DB submission form are automatically checked for compliance with the STRENDA Guidelines; users receive warnings informing them when necessary information is missing. A successful formal compliance is confirmed by the awarding of a STRENDA Registry Number (SRN) and documented in a fact sheet (PDF) containing all input data that can be submitted with the manuscript to the journal. In addition, each dataset is assigned a DOI that allows reference and tracking of the data. The data become publicly available in the database only after the corresponding article has been peer-reviewed and published in a journal.","abbreviation":"STRENDA DB","data_curation":{"url":"https://www.beilstein-strenda-db.org/strenda/help/STRENDA_DB_UserGuide_v0.92.pdf","type":"manual"},"support_links":[{"url":"strenda-db-service@beilstein-institut.de","name":"General Contact","type":"Support email"},{"url":"https://www.beilstein-strenda-db.org/strenda/help/helpOverview.xhtml","name":"Help","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012329","name":"re3data:r3d100012329","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_017422","name":"SciCrunch:RRID:SCR_017422","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.beilstein-strenda-db.org/strenda/help/STRENDA_DB_UserGuide_v0.92.pdf","type":"open","notes":"Login is required to submit data"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000757","bsg-d000757"],"name":"FAIRsharing record for: Standards for Reporting Enzymology Data Database","abbreviation":"STRENDA DB","url":"https://fairsharing.org/10.25504/FAIRsharing.ekj9zx","doi":"10.25504/FAIRsharing.ekj9zx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STRENDA DB is a storage and search platform supported by the Beilstein-Institut that incorporates the STRENDA Guidelines in a user-friendly, web-based system. If you are an author who is preparing a manuscript containing functional enzymology data, STRENDA DB provides you the means to ensure that your data sets are complete and valid before you submit them as part of a publication to a journal. Data entered in the STRENDA DB submission form are automatically checked for compliance with the STRENDA Guidelines; users receive warnings informing them when necessary information is missing. A successful formal compliance is confirmed by the awarding of a STRENDA Registry Number (SRN) and documented in a fact sheet (PDF) containing all input data that can be submitted with the manuscript to the journal. In addition, each dataset is assigned a DOI that allows reference and tracking of the data. The data become publicly available in the database only after the corresponding article has been peer-reviewed and published in a journal.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17776}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Enzymology"],"domains":["Reaction data","Assay","Protocol","Enzyme","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":3082,"pubmed_id":29498804,"title":"STRENDA DB: enabling the validation and sharing of enzyme kinetics data","year":2018,"url":"http://doi.org/10.1111/febs.14427","authors":"Swainston, N., Baici, A., Bakker, B.M., et al.","journal":"The FEBS J.","doi":"10.1111/febs.14427","created_at":"2021-09-30T08:28:19.739Z","updated_at":"2021-09-30T08:28:19.739Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2125,"relation":"undefined"}],"grants":[{"id":2212,"fairsharing_record_id":2283,"organisation_id":2654,"relation":"maintains","created_at":"2021-09-30T09:25:35.976Z","updated_at":"2021-09-30T09:25:35.976Z","grant_id":null,"is_lead":false,"saved_state":{"id":2654,"name":"STRENDA Commission","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2213,"fairsharing_record_id":2283,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:25:36.012Z","updated_at":"2021-09-30T09:25:36.012Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWWc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--758ad1a51ebee7d3e2718d4b98a222d3b5f004ba/Logo_Beilstein_STRENDA_CMYK.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2285","type":"fairsharing_records","attributes":{"created_at":"2016-04-20T11:48:19.000Z","updated_at":"2023-06-22T16:29:33.378Z","metadata":{"doi":"10.25504/FAIRsharing.xhxe2j","name":"e-Mouse Atlas","status":"deprecated","contacts":[{"contact_name":"Richard Baldock","contact_email":"Richard.Baldock@igmm.ed.ac.uk"}],"homepage":"http://www.emouseatlas.org/emap/ema/home.html","citations":[],"identifier":2285,"description":"The e-Mouse Atlas (EMA) is a detailed model of the developing mouse. Its purpose is not only to provide information about the shape, gross anatomy and detailed histological structure of the mouse, but also to provide a framework into which information about gene function can be mapped. The spatial, temporal and anatomical integration achieved by mapping diverse data to the organism itself rather than simply to database tables, allows powerful computational analyses. The website presents 3D volumetric models of the embryo linked, in most cases, to comprehensive and detailed images of histological structure. The embryo models and anatomy in EMA are organized by standard developmental stage (TS. after Theiler, 1989) and age of the embryo in days post coitum (dpc.). Gene-expression and other image data is also available.","abbreviation":"EMA","data_curation":{"url":"https://doi.org/10.1093/nar/gkt1155","type":"manual/automated"},"support_links":[{"url":"http://www.emouseatlas.org/emage/help/contact.html","type":"Contact form"},{"url":"http://www.emouseatlas.org/emage/help/all_help.html","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emage/help/documentation.html","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emage/help/tutorials.html","type":"Training documentation"}],"year_creation":2000,"data_versioning":"not found","associated_tools":[{"url":"https://github.com/ma-tech","name":"Image manipulation and visualisation code"},{"url":"http://www.emouseatlas.org/emap/analysis_tools_resources/software.html","name":"Image manipulation and visualisation tools"}],"deprecation_date":"2023-05-10","deprecation_reason":"As described on their homepage, as of April 2023 the Mouse Atlas resource has been unfunded for 5 years and maintained in \"as-is\" state by the Human Genetics Unit. That support will be withdrawn and the machines decommisioned in September 2023. As such, this resource has been marked as deprecated.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000759","bsg-d000759"],"name":"FAIRsharing record for: e-Mouse Atlas","abbreviation":"EMA","url":"https://fairsharing.org/10.25504/FAIRsharing.xhxe2j","doi":"10.25504/FAIRsharing.xhxe2j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The e-Mouse Atlas (EMA) is a detailed model of the developing mouse. Its purpose is not only to provide information about the shape, gross anatomy and detailed histological structure of the mouse, but also to provide a framework into which information about gene function can be mapped. The spatial, temporal and anatomical integration achieved by mapping diverse data to the organism itself rather than simply to database tables, allows powerful computational analyses. The website presents 3D volumetric models of the embryo linked, in most cases, to comprehensive and detailed images of histological structure. The embryo models and anatomy in EMA are organized by standard developmental stage (TS. after Theiler, 1989) and age of the embryo in days post coitum (dpc.). Gene-expression and other image data is also available.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11222},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11367},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12148}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Developmental Biology"],"domains":["Bioimaging","Gene expression","Image","Life cycle stage"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1108,"pubmed_id":24265223,"title":"EMAGE mouse embryo spatial gene expression database: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1155","authors":"Richardson L,Venkataraman S,Stevenson P,Yang Y,Moss J,Graham L,Burton N,Hill B,Rao J,Baldock RA,Armit C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1155","created_at":"2021-09-30T08:24:22.755Z","updated_at":"2021-09-30T11:28:58.918Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":555,"relation":"undefined"}],"grants":[{"id":2217,"fairsharing_record_id":2285,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:36.148Z","updated_at":"2021-09-30T09:25:36.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2215,"fairsharing_record_id":2285,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:36.092Z","updated_at":"2021-09-30T09:25:36.092Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2216,"fairsharing_record_id":2285,"organisation_id":1903,"relation":"maintains","created_at":"2021-09-30T09:25:36.124Z","updated_at":"2021-09-30T09:25:36.124Z","grant_id":null,"is_lead":false,"saved_state":{"id":1903,"name":"MRC Institute of Genetics \u0026 Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa0VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--71d6e2742ca691b817c763ac1cce0cfcb0045f48/ema_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2290","type":"fairsharing_records","attributes":{"created_at":"2016-04-21T19:30:56.000Z","updated_at":"2024-03-21T13:59:05.919Z","metadata":{"doi":"10.25504/FAIRsharing.4m97ah","name":"BioPortal","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"support@bioontology.org","contact_orcid":"0000-0001-6875-5360"}],"homepage":"http://bioportal.bioontology.org/","citations":[{"doi":"10.1093/nar/gkr469","pubmed_id":21672956,"publication_id":1120}],"identifier":2290,"description":"BioPortal is a library of biomedical ontologies and terminologies developed in Web Ontology Language (OWL), Resource Description Framework (RDF)(S), Open Biological and Biomedical Ontologies (OBO) format, and Protégé frames and Rich Release Format. BioPortal groups ontologies by domain to aid discoverability and allows users to browse, search and visualize the content of ontologies. BioPortal also provides ontology recommendation, text annotation, ontology mapping, and a reference index to resources like PubMed.","abbreviation":"BioPortal","data_curation":{"url":"https://data.bioontology.org/documentation#nav_annotator","type":"manual/automated"},"support_links":[{"url":"https://bioportal.bioontology.org/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.bioontology.org/wiki/BioPortal_FAQ","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.bioontology.org/wiki/BioPortal_Help","name":"BioPortal Help","type":"Help documentation"},{"url":"https://www.bioontology.org/wiki/BioPortal_Release_Notes","name":"Release Notes","type":"Help documentation"},{"url":"http://github.com/ncbo","name":"Github Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/browsing-the-enanomapper-ontology-with-bioportal-aberowl-and-protege","name":"Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protg","type":"TeSS links to training materials"},{"url":"https://twitter.com/bioontology","name":"@bioontology","type":"Twitter"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"https://ontoportal.github.io/administration/","name":"OntoPortal Virtual Appliance 3.0"},{"url":"https://www.bioontology.org/wiki/NCBO_Widgets","name":"NCBO Widgets"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012344","name":"re3data:r3d100012344","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002713","name":"SciCrunch:RRID:SCR_002713","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html","name":"NIH-Supported Data Sharing Resource (sustained support)"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://ncbo.bioontology.org/BioPortal","name":"open-source archives"},"data_deposition_condition":{"url":"https://www.bioontology.org/wiki/BioPortal_Help#Submitting_an_ontology","type":"controlled","notes":"Sign-up required for submission"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000764","bsg-d000764"],"name":"FAIRsharing record for: BioPortal","abbreviation":"BioPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.4m97ah","doi":"10.25504/FAIRsharing.4m97ah","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioPortal is a library of biomedical ontologies and terminologies developed in Web Ontology Language (OWL), Resource Description Framework (RDF)(S), Open Biological and Biomedical Ontologies (OBO) format, and Protégé frames and Rich Release Format. BioPortal groups ontologies by domain to aid discoverability and allows users to browse, search and visualize the content of ontologies. BioPortal also provides ontology recommendation, text annotation, ontology mapping, and a reference index to resources like PubMed.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11129},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12255},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19989}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1120,"pubmed_id":21672956,"title":"BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications.","year":2011,"url":"http://doi.org/10.1093/nar/gkr469","authors":"Whetzel PL,Noy NF,Shah NH,Alexander PR,Nyulas C,Tudorache T,Musen MA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr469","created_at":"2021-09-30T08:24:24.070Z","updated_at":"2021-09-30T11:28:59.460Z"}],"licence_links":[],"grants":[{"id":2224,"fairsharing_record_id":2290,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:25:36.396Z","updated_at":"2021-09-30T09:25:36.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2223,"fairsharing_record_id":2290,"organisation_id":1959,"relation":"maintains","created_at":"2021-09-30T09:25:36.354Z","updated_at":"2021-09-30T09:25:36.354Z","grant_id":null,"is_lead":true,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":11579,"fairsharing_record_id":2290,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:05.162Z","updated_at":"2024-03-21T13:59:05.821Z","grant_id":37,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54-HG004028","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2271","type":"fairsharing_records","attributes":{"created_at":"2016-04-08T12:26:03.000Z","updated_at":"2023-12-15T10:31:25.945Z","metadata":{"doi":"10.25504/FAIRsharing.566n8c","name":"EU Clinical Trial Register","status":"ready","contacts":[{"contact_email":"euctr@ema.europa.eu"}],"homepage":"https://www.clinicaltrialsregister.eu/","citations":[],"identifier":2271,"description":"The EU Clinical Trials Register contains information on interventional clinical trials on medicines conducted in the European Union (EU), or the European Economic Area (EEA) which started after 1 May 2004.","abbreviation":"EUCTR","data_curation":{"url":"https://www.clinicaltrialsregister.eu/dataquality.html","type":"automated"},"support_links":[{"url":"euctr@ema.europa.eu","type":"Support email"},{"url":"https://www.clinicaltrialsregister.eu/doc/EU_CTR_FAQ.pdf","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.clinicaltrialsregister.eu/doc/How_to_Search_EU_CTR.pdf","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013302","name":"re3data:r3d100013302","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000745","bsg-d000745"],"name":"FAIRsharing record for: EU Clinical Trial Register","abbreviation":"EUCTR","url":"https://fairsharing.org/10.25504/FAIRsharing.566n8c","doi":"10.25504/FAIRsharing.566n8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EU Clinical Trials Register contains information on interventional clinical trials on medicines conducted in the European Union (EU), or the European Economic Area (EEA) which started after 1 May 2004.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12324},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12744}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Biomedical Science","Epidemiology","Preclinical Studies","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"European Medicines Agency Legal Notice","licence_id":302,"licence_url":"http://www.ema.europa.eu/ema/index.jsp?curl=pages/regulation/general/general_content_000178.jsp","link_id":1370,"relation":"undefined"}],"grants":[{"id":2192,"fairsharing_record_id":2271,"organisation_id":939,"relation":"maintains","created_at":"2021-09-30T09:25:35.234Z","updated_at":"2021-09-30T09:25:35.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":939,"name":"European Medicines Agency, London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2281","type":"fairsharing_records","attributes":{"created_at":"2016-04-15T11:12:20.000Z","updated_at":"2024-03-27T22:29:01.845Z","metadata":{"doi":"10.25504/FAIRsharing.szs7pn","name":"MetaNetX","status":"ready","contacts":[{"contact_name":"Sebastien Moretti","contact_email":"help@metanetx.org","contact_orcid":"0000-0003-3947-488X"}],"homepage":"https://www.metanetx.org/","citations":[],"identifier":2281,"description":"MetaNetX/MNXref is a database for reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. The tools developed at MetaNetX are useful for accessing, analysing and manipulating metabolic networks. MetaNetX goal is to automate model construction and genome annotation for large-scale metabolic networks.","abbreviation":"MNXref","data_curation":{"type":"not found"},"support_links":[{"url":"help@metanetx.org","type":"Support email"},{"url":"https://metanetx.org/mnxdoc/mnxref.html","type":"Help documentation"},{"url":"https://twitter.com/MetaNetX_org","name":"@MetaNetX_org","type":"Twitter"},{"url":"https://www.metanetx.org/mnxdoc/help.html","name":"Getting started","type":"Help documentation"},{"url":"https://www.metanetx.org/mnxdoc/short-tutorial.html","name":"Short tutorial ","type":"Help documentation"},{"url":"https://www.metanetx.org/mnxdoc/mnet-spec.html","name":"Model internal specification","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","data_access_condition":{"url":"https://www.metanetx.org/mnxdoc/help.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.metanetx.org/mnxdoc/help.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000755","bsg-d000755"],"name":"FAIRsharing record for: MetaNetX","abbreviation":"MNXref","url":"https://fairsharing.org/10.25504/FAIRsharing.szs7pn","doi":"10.25504/FAIRsharing.szs7pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaNetX/MNXref is a database for reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. The tools developed at MetaNetX are useful for accessing, analysing and manipulating metabolic networks. MetaNetX goal is to automate model construction and genome annotation for large-scale metabolic networks.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11781},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19553}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cheminformatics","Biochemistry","Systems Biology"],"domains":["Network model","Molecular interaction"],"taxonomies":["Animalia","Archaea","Bacteria","Fungi","Plantae"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":411,"pubmed_id":23357920,"title":"MetaNetX.org: a website and repository for accessing, analysing and manipulating metabolic networks.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt036","authors":"Ganter M,Bernard T,Moretti S,Stelling J,Pagni M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt036","created_at":"2021-09-30T08:23:04.666Z","updated_at":"2021-09-30T08:23:04.666Z"},{"id":628,"pubmed_id":33156326,"title":"MetaNetX/MNXref: unified namespace for metabolites and biochemical reactions in the context of metabolic models.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa992","authors":"Moretti S,Tran VDT,Mehl F,Ibberson M,Pagni M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa992","created_at":"2021-09-30T08:23:29.030Z","updated_at":"2021-09-30T11:28:48.517Z"},{"id":1109,"pubmed_id":26527720,"title":"MetaNetX/MNXref - reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1117","authors":"Moretti S,Martin O,Van Du Tran T,Bridge A,Morgat A,Pagni M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1117","created_at":"2021-09-30T08:24:22.904Z","updated_at":"2021-09-30T11:28:59.060Z"},{"id":1110,"pubmed_id":23172809,"title":"Reconciliation of metabolites and biochemical reactions for metabolic networks.","year":2012,"url":"http://doi.org/10.1093/bib/bbs058","authors":"Bernard T,Bridge A,Morgat A,Moretti S,Xenarios I,Pagni M","journal":"Brief Bioinform","doi":"10.1093/bib/bbs058","created_at":"2021-09-30T08:24:22.997Z","updated_at":"2021-09-30T08:24:22.997Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1646,"relation":"undefined"}],"grants":[{"id":2209,"fairsharing_record_id":2281,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:25:35.862Z","updated_at":"2021-09-30T09:25:35.862Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2208,"fairsharing_record_id":2281,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:35.820Z","updated_at":"2021-09-30T09:25:35.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2282","type":"fairsharing_records","attributes":{"created_at":"2016-04-15T14:55:24.000Z","updated_at":"2023-12-15T10:32:01.887Z","metadata":{"doi":"10.25504/FAIRsharing.r18yt0","name":"data.eNanoMapper.net","status":"ready","contacts":[{"contact_name":"Jiakang Chang","contact_email":"jkchang@ebi.ac.uk","contact_orcid":"0000-0003-2157-0398"}],"homepage":"https://data.enanomapper.net/","identifier":2282,"description":"data.eNanoMapper.net is a public database hosting nanomaterials characterization data and biological and toxicological information. The database provides various possibilities to search and explore information, and to download data in various standard formats. The database supports data upload through configurable Excel templates.","abbreviation":"data.eNanoMapper.net","data_curation":{"url":"https://enanomapper.adma.ai/help/#dataentry","type":"manual/automated"},"support_links":[{"url":"support@ideaconsult.net","type":"Support email"},{"url":"https://tess.elixir-europe.org/materials/entering-and-analysing-nano-safety-data","name":"Entering and analysing nano safety data","type":"Help documentation"},{"url":"http://ambit.sourceforge.net/usage.html","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/entering-and-analysing-nano-safety-data","name":"Entering and analysing nano safety data","type":"TeSS links to training materials"}],"year_creation":2014,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013052","name":"re3data:r3d100013052","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://enanomapper.adma.ai/help/#dataentry","type":"open","notes":"Free login is required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000756","bsg-d000756"],"name":"FAIRsharing record for: data.eNanoMapper.net","abbreviation":"data.eNanoMapper.net","url":"https://fairsharing.org/10.25504/FAIRsharing.r18yt0","doi":"10.25504/FAIRsharing.r18yt0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: data.eNanoMapper.net is a public database hosting nanomaterials characterization data and biological and toxicological information. The database provides various possibilities to search and explore information, and to download data in various standard formats. The database supports data upload through configurable Excel templates.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10862},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11782}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Chemistry"],"domains":["Chemical entity","Nanoparticle"],"taxonomies":["Not applicable"],"user_defined_tags":["Nanosafety"],"countries":["European Union"],"publications":[{"id":1008,"pubmed_id":21991315,"title":"The chemical information ontology: provenance and disambiguation for chemical data on the biological semantic web.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0025513","authors":"Hastings J,Chepelev L,Willighagen E,Adams N,Steinbeck C,Dumontier M","journal":"PLoS One","doi":"10.1371/journal.pone.0025513","created_at":"2021-09-30T08:24:11.621Z","updated_at":"2021-09-30T08:24:11.621Z"},{"id":1088,"pubmed_id":25815161,"title":"eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment.","year":2015,"url":"http://doi.org/10.1186/s13326-015-0005-5","authors":"Hastings J,Jeliazkova N,Owen G,Tsiliki G,Munteanu CR,Steinbeck C,Willighagen E","journal":"J Biomed Semantics","doi":"10.1186/s13326-015-0005-5","created_at":"2021-09-30T08:24:20.515Z","updated_at":"2021-09-30T08:24:20.515Z"},{"id":1103,"pubmed_id":26425413,"title":"The eNanoMapper database for nanomaterial safety information.","year":2015,"url":"http://doi.org/10.3762/bjnano.6.165","authors":"Jeliazkova N,Chomenidis C,Doganis P,Fadeel B,Grafstrom R,Hardy B,Hastings J,Hegi M,Jeliazkov V,Kochev N,Kohonen P,Munteanu CR,Sarimveis H,Smeets B,Sopasakis P,Tsiliki G,Vorgrimmler D,Willighagen E","journal":"Beilstein J Nanotechnol","doi":"10.3762/bjnano.6.165","created_at":"2021-09-30T08:24:22.165Z","updated_at":"2021-09-30T08:24:22.165Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":629,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":633,"relation":"undefined"}],"grants":[{"id":2210,"fairsharing_record_id":2282,"organisation_id":858,"relation":"maintains","created_at":"2021-09-30T09:25:35.900Z","updated_at":"2021-09-30T09:25:35.900Z","grant_id":null,"is_lead":false,"saved_state":{"id":858,"name":"eNanoMapper","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9094,"fairsharing_record_id":2282,"organisation_id":913,"relation":"funds","created_at":"2022-04-07T13:20:36.010Z","updated_at":"2022-04-07T13:20:36.010Z","grant_id":197,"is_lead":false,"saved_state":{"id":913,"name":"European Commision","grant":"731032","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9095,"fairsharing_record_id":2282,"organisation_id":913,"relation":"funds","created_at":"2022-04-07T13:20:36.028Z","updated_at":"2022-04-07T13:20:36.028Z","grant_id":85,"is_lead":false,"saved_state":{"id":913,"name":"European Commision","grant":"604134","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2286","type":"fairsharing_records","attributes":{"created_at":"2016-04-20T11:55:17.000Z","updated_at":"2023-12-15T10:29:45.697Z","metadata":{"doi":"10.25504/FAIRsharing.6qr9jp","name":"e-Mouse Atlas of Gene Expression","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"emage@emouseatlas.org"}],"homepage":"https://www.emouseatlas.org/emage/home.php","citations":[{"doi":"10.1093/nar/gkt1155","pubmed_id":24265223,"publication_id":1108}],"identifier":2286,"description":"The e-Mouse Atlas of Gene Expression (EMAGE) is a freely available database of in situ gene expression patterns that allows users to perform online queries of mouse developmental gene expression. EMAGE is unique in providing both text-based descriptions of gene expression plus spatial maps of gene expression patterns. This mapping allows spatial queries to be accomplished alongside more traditional text-based queries.","abbreviation":"EMAGE","data_curation":{"url":"https://www.emouseatlas.org/emage/about/data_curation.php","type":"manual/automated"},"support_links":[{"url":"https://www.emouseatlas.org/emage/help/contact.php","name":"Contact Information","type":"Contact form"},{"url":"https://www.emouseatlas.org/emage/help/faqs.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.emouseatlas.org/emage/help/all_help.php","name":"All Help Pages","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010564","name":"re3data:r3d100010564","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005391","name":"SciCrunch:RRID:SCR_005391","portal":"SciCrunch"}],"deprecation_date":"2023-09-22","deprecation_reason":"The resource homepage is no longer valid, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.emouseatlas.org/emap/news/news.html","name":"This Mouse Atlas resource has been unfunded for 5 years and maintained in \"as-is\" state by the Human Genetics Unit. That support is being withdrawn and the machines decommisioned in September 2023."},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.emouseatlas.org/emage/help/faqs.php#curation","type":"controlled","notes":"Data is entered into EMAGE primarily by full-time EMAGE curators who make entries based on information supplied by the data submitter."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000760","bsg-d000760"],"name":"FAIRsharing record for: e-Mouse Atlas of Gene Expression","abbreviation":"EMAGE","url":"https://fairsharing.org/10.25504/FAIRsharing.6qr9jp","doi":"10.25504/FAIRsharing.6qr9jp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The e-Mouse Atlas of Gene Expression (EMAGE) is a freely available database of in situ gene expression patterns that allows users to perform online queries of mouse developmental gene expression. EMAGE is unique in providing both text-based descriptions of gene expression plus spatial maps of gene expression patterns. This mapping allows spatial queries to be accomplished alongside more traditional text-based queries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Developmental Biology","Transcriptomics"],"domains":["Expression data","Model organism","Gene expression","In situ hybridization","Immunohistochemistry","Life cycle stage"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1108,"pubmed_id":24265223,"title":"EMAGE mouse embryo spatial gene expression database: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1155","authors":"Richardson L,Venkataraman S,Stevenson P,Yang Y,Moss J,Graham L,Burton N,Hill B,Rao J,Baldock RA,Armit C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1155","created_at":"2021-09-30T08:24:22.755Z","updated_at":"2021-09-30T11:28:58.918Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1639,"relation":"undefined"}],"grants":[{"id":2220,"fairsharing_record_id":2286,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:36.246Z","updated_at":"2021-09-30T09:25:36.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2218,"fairsharing_record_id":2286,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:36.173Z","updated_at":"2021-09-30T09:25:36.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2219,"fairsharing_record_id":2286,"organisation_id":1903,"relation":"maintains","created_at":"2021-09-30T09:25:36.204Z","updated_at":"2021-09-30T09:25:36.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":1903,"name":"MRC Institute of Genetics \u0026 Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa0FCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0957b4625818ad980223e511f02f2ecf85aa04f5/emage_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2287","type":"fairsharing_records","attributes":{"created_at":"2016-04-20T19:58:57.000Z","updated_at":"2023-12-15T10:33:15.797Z","metadata":{"doi":"10.25504/FAIRsharing.9qkaz9","name":"Online Mendelian Inheritance in Man","status":"ready","contacts":[],"homepage":"https://omim.org/","citations":[],"identifier":2287,"description":"Online Mendelian Inheritance in Man (OMIM) is a comprehensive, authoritative compendium of human genes and genetic phenotypes that is freely available and updated daily. The full-text, referenced overviews in OMIM contain information on all known mendelian disorders and over 15,000 genes. OMIM focuses on the relationship between phenotype and genotype.","abbreviation":"OMIM","data_curation":{"url":"https://www.omim.org/help/faq","type":"manual/automated","notes":"see also: https://blog.goldenhelix.com/curating-omim/"},"support_links":[{"url":"https://omim.org/contact","name":"Contact Form","type":"Contact form"},{"url":"https://omim.org/help/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://omim.org/help/search","name":"Search Help","type":"Help documentation"},{"url":"https://omim.org/help/linking","name":"Linking Help","type":"Help documentation"},{"url":"https://omim.org/help/api","name":"API Documentation","type":"Help documentation"}],"year_creation":1966,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010416","name":"re3data:r3d100010416","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006437","name":"SciCrunch:RRID:SCR_006437","portal":"SciCrunch"}],"data_access_condition":{"url":"https://omim.org/about","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000761","bsg-d000761"],"name":"FAIRsharing record for: Online Mendelian Inheritance in Man","abbreviation":"OMIM","url":"https://fairsharing.org/10.25504/FAIRsharing.9qkaz9","doi":"10.25504/FAIRsharing.9qkaz9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Online Mendelian Inheritance in Man (OMIM) is a comprehensive, authoritative compendium of human genes and genetic phenotypes that is freely available and updated daily. The full-text, referenced overviews in OMIM contain information on all known mendelian disorders and over 15,000 genes. OMIM focuses on the relationship between phenotype and genotype.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12254}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Human Genetics"],"domains":["Phenotype","Disease","Gene","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2244,"pubmed_id":30445645,"title":"OMIM.org: leveraging knowledge across phenotype-gene relationships.","year":2018,"url":"http://doi.org/10.1093/nar/gky1151","authors":"Amberger JS,Bocchini CA,Scott AF,Hamosh A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1151","created_at":"2021-09-30T08:26:32.988Z","updated_at":"2021-09-30T11:29:31.478Z"},{"id":3870,"pubmed_id":null,"title":"(2021). Online Mendelian inheritance in man (OMIM®): victor McKusick's magnum opus. , 185(11), 3259-3265.","year":2021,"url":"https://onlinelibrary.wiley.com/doi/full/10.1002/ajmg.a.62407","authors":"Hamosh, A., Amberger, J. S., Bocchini, C., Scott, A. F., \u0026 Rasmussen, S. A.","journal":"American Journal of Medical Genetics Part A","doi":"","created_at":"2023-05-22T10:23:01.780Z","updated_at":"2023-05-22T10:23:01.780Z"},{"id":3871,"pubmed_id":null,"title":"Searching online mendelian inheritance in man (OMIM): a knowledgebase of human genes and genetic phenotypes.","year":2017,"url":"https://currentprotocols.onlinelibrary.wiley.com/doi/full/10.1002/cpbi.27","authors":"Amberger, J. S., \u0026 Hamosh, A.","journal":"Current protocols in bioinformatics, 58(1), 1-2.","doi":"","created_at":"2023-05-22T10:36:02.854Z","updated_at":"2023-05-22T10:36:02.854Z"}],"licence_links":[{"licence_name":"OMIM Copyright","licence_id":617,"licence_url":"https://omim.org/help/copyright","link_id":734,"relation":"undefined"}],"grants":[{"id":2222,"fairsharing_record_id":2287,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:36.317Z","updated_at":"2021-09-30T09:29:16.661Z","grant_id":172,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NHGRI 1U41HG006627","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2221,"fairsharing_record_id":2287,"organisation_id":1804,"relation":"maintains","created_at":"2021-09-30T09:25:36.283Z","updated_at":"2021-09-30T09:25:36.283Z","grant_id":null,"is_lead":true,"saved_state":{"id":1804,"name":"McKusick-Nathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2388","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T09:08:42.000Z","updated_at":"2024-05-02T07:22:46.129Z","metadata":{"doi":"10.25504/FAIRsharing.nn9r0d","name":"IDSM","status":"ready","contacts":[{"contact_name":"Jakub Galgonek","contact_email":"jakub.galgonek@uochb.cas.cz","contact_orcid":null}],"homepage":"https://idsm.elixir-czech.cz/","citations":[],"identifier":2388,"description":"IDSM is an integrated database of small molecules.","abbreviation":"IDSM","data_curation":{"url":"https://elixir-europe.org/platforms/data","type":"manual/automated"},"support_links":[{"url":"https://idsm.elixir-czech.cz/sparql/doc/manual.html","name":"User Manual","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000869","bsg-d000869"],"name":"FAIRsharing record for: IDSM","abbreviation":"IDSM","url":"https://fairsharing.org/10.25504/FAIRsharing.nn9r0d","doi":"10.25504/FAIRsharing.nn9r0d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IDSM is an integrated database of small molecules.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11396},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12184}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Small molecule"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":4237,"pubmed_id":29797000,"title":"Sachem: a chemical cartridge for high-performance substructure search","year":2018,"url":"http://dx.doi.org/10.1186/s13321-018-0282-y","authors":"Kratochvíl, Miroslav; Vondrášek, Jiří; Galgonek, Jakub; ","journal":"J Cheminform","doi":"10.1186/s13321-018-0282-y","created_at":"2024-04-05T07:58:03.513Z","updated_at":"2024-04-05T07:58:03.513Z"},{"id":4238,"pubmed_id":31254167,"title":"Interoperable chemical structure search service","year":2019,"url":"http://dx.doi.org/10.1186/s13321-019-0367-2","authors":"Kratochvíl, Miroslav; Vondrášek, Jiří; Galgonek, Jakub; ","journal":"J Cheminform","doi":"10.1186/s13321-019-0367-2","created_at":"2024-04-05T08:00:39.285Z","updated_at":"2024-04-05T08:00:39.285Z"},{"id":4239,"pubmed_id":33980298,"title":"IDSM ChemWebRDF: SPARQLing small-molecule datasets","year":2021,"url":"http://dx.doi.org/10.1186/s13321-021-00515-1","authors":"Galgonek, Jakub; Vondrášek, Jiří; ","journal":"J Cheminform","doi":"10.1186/s13321-021-00515-1","created_at":"2024-04-05T08:01:44.722Z","updated_at":"2024-04-05T08:01:44.722Z"}],"licence_links":[],"grants":[{"id":11692,"fairsharing_record_id":2388,"organisation_id":1434,"relation":"maintains","created_at":"2024-04-05T07:54:36.912Z","updated_at":"2024-04-05T08:07:10.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":1434,"name":"Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences (IOCB), Prague, Czech Republic","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11693,"fairsharing_record_id":2388,"organisation_id":840,"relation":"maintains","created_at":"2024-04-05T08:07:10.857Z","updated_at":"2024-04-05T08:07:10.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2389","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T10:49:36.000Z","updated_at":"2023-12-15T10:32:51.212Z","metadata":{"doi":"10.25504/FAIRsharing.c7w81a","name":"LiceBase","status":"ready","contacts":[{"contact_name":"Inge Jonassen","contact_email":"Inge.Jonassen@uib.no","contact_orcid":"0000-0003-4110-0748"},{"contact_name":"Michael Dondrup","contact_email":"admin@licebase.org","contact_orcid":"0000-0002-2371-5928"}],"homepage":"https://licebase.org/","citations":[],"identifier":2389,"description":"LiceBase is a genomics database for sea lice (Lepeophtheirus salmonis and Caligus spp.), which are major pathogens affecting the global salmon farming industry. The database is designed to help researchers, industry professionals, and other interested parties access and share information about these parasites, with the goal of developing new treatment methods and tools to ensure a sustainable salmon farming industry. LiceBase provides genome annotation reports, genome browsing, RNA interference (RNAi) experiment browsing, BLAST search, and in-situ images. The database homepage posts news updates and recent publications related to sea lice and salmonid species.","abbreviation":null,"data_curation":{"type":"none"},"support_links":[{"url":"https://licebase.org/?q=node/760957","type":"Frequently Asked Questions (FAQs)"},{"url":"https://licebase.org/privacy_policy","name":"Privacy policy","type":"Other"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013547","name":"re3data:r3d100013547","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000870","bsg-d000870"],"name":"FAIRsharing record for: LiceBase","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.c7w81a","doi":"10.25504/FAIRsharing.c7w81a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LiceBase is a genomics database for sea lice (Lepeophtheirus salmonis and Caligus spp.), which are major pathogens affecting the global salmon farming industry. The database is designed to help researchers, industry professionals, and other interested parties access and share information about these parasites, with the goal of developing new treatment methods and tools to ensure a sustainable salmon farming industry. LiceBase provides genome annotation reports, genome browsing, RNA interference (RNAi) experiment browsing, BLAST search, and in-situ images. The database homepage posts news updates and recent publications related to sea lice and salmonid species.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11397},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12185}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Fisheries Science","Marine Biology","Aquaculture","Parasitology"],"domains":["Genome annotation","Marine environment","Imaging","Gene expression","RNA interference","Parasite","RNA sequencing","Genome"],"taxonomies":["Anopheles gambiae","Drosophila melanogaster","Gadus morhua","Lepeophtheirus salmonis"],"user_defined_tags":["tigriopus kingsejongensis","calanus sinicus","caligus spp.","copepod"],"countries":["Norway"],"publications":[{"id":3968,"pubmed_id":null,"title":"The salmon louse genome: Copepod features and parasitic adaptations","year":2021,"url":"http://dx.doi.org/10.1016/j.ygeno.2021.08.002","authors":"Skern-Mauritzen, Rasmus; Malde, Ketil; Eichner, Christiane; Dondrup, Michael; Furmanek, Tomasz; Besnier, Francois; Komisarczuk, Anna Zofia; Nuhn, Michael; Dalvin, Sussie; Edvardsen, Rolf B.; Klages, Sven; Huettel, Bruno; Stueber, Kurt; Grotmol, Sindre; Karlsbakk, Egil; Kersey, Paul; Leong, Jong S.; Glover, Kevin A.; Reinhardt, Richard; Lien, Sigbjørn; Jonassen, Inge; Koop, Ben F.; Nilsen, Frank; ","journal":"Genomics","doi":"10.1016/j.ygeno.2021.08.002","created_at":"2023-08-04T11:10:19.846Z","updated_at":"2023-08-04T11:10:19.846Z"}],"licence_links":[{"licence_name":"Phibase Data Policies and Disclaimer","licence_id":662,"licence_url":"http://www.phi-base.org/disclaimer.htm","link_id":564,"relation":"undefined"}],"grants":[{"id":2446,"fairsharing_record_id":2389,"organisation_id":2535,"relation":"maintains","created_at":"2021-09-30T09:25:44.119Z","updated_at":"2023-08-04T12:07:08.705Z","grant_id":null,"is_lead":true,"saved_state":{"id":2535,"name":"Sea Lice Research Centre, Bergen, Norway","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10802,"fairsharing_record_id":2389,"organisation_id":846,"relation":"collaborates_on","created_at":"2023-08-04T12:07:08.406Z","updated_at":"2023-08-04T12:07:08.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":10803,"fairsharing_record_id":2389,"organisation_id":2823,"relation":"funds","created_at":"2023-08-04T12:07:08.443Z","updated_at":"2023-08-04T12:07:08.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10805,"fairsharing_record_id":2389,"organisation_id":1421,"relation":"funds","created_at":"2023-08-04T12:07:08.479Z","updated_at":"2023-08-04T12:07:08.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":1421,"name":"Institute Of Marine Research, Bergen, Norway","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":10806,"fairsharing_record_id":2389,"organisation_id":2192,"relation":"funds","created_at":"2023-08-04T12:07:08.516Z","updated_at":"2023-08-04T12:07:08.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":2192,"name":"Norwegian University of Life Sciences","types":["University"],"is_lead":false,"relation":"funds"}},{"id":10807,"fairsharing_record_id":2389,"organisation_id":4076,"relation":"funds","created_at":"2023-08-04T12:07:08.555Z","updated_at":"2023-08-04T12:07:08.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":4076,"name":"Elanco (United States)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10808,"fairsharing_record_id":2389,"organisation_id":4077,"relation":"funds","created_at":"2023-08-04T12:07:08.595Z","updated_at":"2023-08-04T12:07:08.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":4077,"name":"Ewos Innovation (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10809,"fairsharing_record_id":2389,"organisation_id":4079,"relation":"funds","created_at":"2023-08-04T12:07:08.632Z","updated_at":"2023-08-04T12:07:08.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":4079,"name":"Mowi (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10810,"fairsharing_record_id":2389,"organisation_id":4080,"relation":"funds","created_at":"2023-08-04T12:07:08.669Z","updated_at":"2023-08-04T12:07:08.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":4080,"name":"Lerøy (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10811,"fairsharing_record_id":2389,"organisation_id":4078,"relation":"funds","created_at":"2023-08-04T12:07:08.683Z","updated_at":"2023-08-04T12:07:08.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":4078,"name":"PatoGen (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10868,"fairsharing_record_id":2389,"organisation_id":2995,"relation":"funds","created_at":"2023-09-18T14:14:33.778Z","updated_at":"2023-09-18T14:14:33.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":2995,"name":"Universitetet i Bergen, Bergen, Norway","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGdDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--74f6d31db002f40d948d76fbd6054eb8e566e96b/slrc.png?disposition=inline","exhaustive_licences":false}},{"id":"2390","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T11:46:55.000Z","updated_at":"2023-12-15T10:33:04.294Z","metadata":{"doi":"10.25504/FAIRsharing.3t5qc3","name":"Microbial Genome Annotation \u0026 Analysis Platform","status":"ready","contacts":[{"contact_name":"Claudine Médigue","contact_email":"cmedigue@genoscope.cns.fr"}],"homepage":"http://www.genoscope.cns.fr/agc/microscope/home/","citations":[],"identifier":2390,"description":"MicroScope is a web-based platform for microbial comparative genome analysis and manual functional annotation. Its relational database schema stores precalculated results of syntactic and functional annotation pipelines as well as Pathway Tools and metabolic analysis specific to each genome.","abbreviation":"MicroScope","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genoscope.cns.fr/agc/microscope/about/contact.php?\u0026wwwpkgdb=8ec24c15145b8f4e86bd2473d359a5f3","type":"Contact form"},{"url":"https://microscope.readthedocs.io/en/latest/","type":"Help documentation"},{"url":"https://www.genoscope.cns.fr/agc/website/spip.php?page=forma_dates\u0026lang=en","type":"Training documentation"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://www.genoscope.cns.fr/agc/microscope/search/blast.php?","name":"blast"},{"url":"http://www.genoscope.cns.fr/agc/microscope/genomic/cgview.php?part=all","name":"Circular Genome Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012928","name":"re3data:r3d100012928","portal":"re3data"}],"data_access_condition":{"url":"https://mage.genoscope.cns.fr/microscope/search/keywords.php?\u0026wwwpkgdb=0eb8133d3f9276236454c607f7ee7492","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://mage.genoscope.cns.fr/microscope/about/services.php?","type":"controlled","notes":"According to the specifications concerning each project."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000871","bsg-d000871"],"name":"FAIRsharing record for: Microbial Genome Annotation \u0026 Analysis Platform","abbreviation":"MicroScope","url":"https://fairsharing.org/10.25504/FAIRsharing.3t5qc3","doi":"10.25504/FAIRsharing.3t5qc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MicroScope is a web-based platform for microbial comparative genome analysis and manual functional annotation. Its relational database schema stores precalculated results of syntactic and functional annotation pipelines as well as Pathway Tools and metabolic analysis specific to each genome.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11398},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12186},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12770}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science","Comparative Genomics"],"domains":["Annotation","Genome annotation","Gene functional annotation","Molecular interaction"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2033,"pubmed_id":23193269,"title":"MicroScope--an integrated microbial resource for the curation and comparative analysis of genomic and metabolic data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1194","authors":"Vallenet D,Belda E,Calteau A,Cruveiller S,Engelen S,Lajus A,Le Fevre F,Longin C,Mornico D,Roche D,Rouy Z,Salvignol G,Scarpelli C,Thil Smith AA,Weiman M,Medigue C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1194","created_at":"2021-09-30T08:26:08.954Z","updated_at":"2021-09-30T11:29:26.596Z"}],"licence_links":[],"grants":[{"id":2448,"fairsharing_record_id":2390,"organisation_id":1349,"relation":"funds","created_at":"2021-09-30T09:25:44.198Z","updated_at":"2021-09-30T09:25:44.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1349,"name":"Infrastructures en Biologie Sante et Agronomie (GIS IBiSA), France","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2450,"fairsharing_record_id":2390,"organisation_id":1059,"relation":"funds","created_at":"2021-09-30T09:25:44.254Z","updated_at":"2021-09-30T09:30:33.707Z","grant_id":765,"is_lead":false,"saved_state":{"id":1059,"name":"French Ministry of Education, Research and Innovation, France","grant":"ANR PFTV 2007","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2449,"fairsharing_record_id":2390,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:44.230Z","updated_at":"2021-09-30T09:30:42.431Z","grant_id":831,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"222886-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2447,"fairsharing_record_id":2390,"organisation_id":1662,"relation":"maintains","created_at":"2021-09-30T09:25:44.160Z","updated_at":"2021-09-30T09:25:44.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1662,"name":"Laboratoire d'Analyses Bioinformatiques pour la Genomique et le Metabolisme (LABGeM), Evry, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2392","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T14:21:32.000Z","updated_at":"2023-12-15T10:30:39.880Z","metadata":{"doi":"10.25504/FAIRsharing.1z88ee","name":"BCCM/ULC Cyanobacteria Collection","status":"ready","contacts":[{"contact_name":"BCCM/ULC","contact_email":"BCCM.ULC@ulg.ac.be"}],"homepage":"http://bccm.belspo.be/about-us/bccm-ulc","identifier":2392,"description":"BCCM/ULC is a small and dedicated public collection, currently containing one of the largest collections of documented (sub)polar cyanobacteria worldwide. The BCCM/ULC collection is hosted by the Centre for Protein Engineering (the Unit) of the University of Liège. The host Unit is very active in research projects concerning the cyanobacterial diversity and biogeography, with a focus on polar biotopes. The approach used is polyphasic, including the isolation of strains and culture-independent methods (DGGE, clone libraries, pyrosequencing based on the ribosomal operon sequences). The participation to field expeditions in the Antarctic and Arctic has enabled to collect samples in many locations. Moreover, taxonomic research is carried out by the host Unit to improve the classification of the cyanobacterial phylum. It is based on a polyphasic approach combining the morphological and molecular characterizations of the strains.","abbreviation":"BCCM/ULC","data_curation":{"type":"manual"},"support_links":[{"url":"http://bccm.belspo.be/news","name":"News","type":"Blog/News"},{"url":"http://bccm.belspo.be/webform/contact-us","type":"Contact form"},{"url":"http://bccm.belspo.be/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://bccm.belspo.be/webform/subscribe-bccm-newsletter","name":"Newsletter","type":"Help documentation"},{"url":"http://bccm.belspo.be/didyouknow","name":"Videos","type":"Help documentation"},{"url":"http://bccm.belspo.be/labinstructions","name":"Lab instruction videos","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013779","name":"re3data:r3d100013779","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000873","bsg-d000873"],"name":"FAIRsharing record for: BCCM/ULC Cyanobacteria Collection","abbreviation":"BCCM/ULC","url":"https://fairsharing.org/10.25504/FAIRsharing.1z88ee","doi":"10.25504/FAIRsharing.1z88ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BCCM/ULC is a small and dedicated public collection, currently containing one of the largest collections of documented (sub)polar cyanobacteria worldwide. The BCCM/ULC collection is hosted by the Centre for Protein Engineering (the Unit) of the University of Liège. The host Unit is very active in research projects concerning the cyanobacterial diversity and biogeography, with a focus on polar biotopes. The approach used is polyphasic, including the isolation of strains and culture-independent methods (DGGE, clone libraries, pyrosequencing based on the ribosomal operon sequences). The participation to field expeditions in the Antarctic and Arctic has enabled to collect samples in many locations. Moreover, taxonomic research is carried out by the host Unit to improve the classification of the cyanobacterial phylum. It is based on a polyphasic approach combining the morphological and molecular characterizations of the strains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Classification","Morphology","16S rRNA"],"taxonomies":["Chroococcales","Cyanobacteria","Nostocales","Oscillatoriales"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1060,"pubmed_id":null,"title":"Plectolyngbya hodgsonii: a novel filamentous cyanobacterium from Antarctic lakes","year":2011,"url":"https://link.springer.com/article/10.1007/s00300-010-0868-y","authors":"Taton, A, Wilmotte, A, Smarda, J, Elster, J, \u0026 Komarek, J.","journal":"Polar Biology","doi":null,"created_at":"2021-09-30T08:24:17.389Z","updated_at":"2021-09-30T11:28:31.612Z"},{"id":1061,"pubmed_id":null,"title":"The limnology and biology of the Dufek Massif, Transantarctic Mountains 82° South","year":2010,"url":"https://doi.org/10.1016/j.polar.2010.04.003","authors":"Hodgson, D. A, Convey, P, Verleyen, E, Vyverman, W, McInnes, S. J, Sands, C. J, Fernandez, R, Wilmotte, A, De Wever, A, Peeters, K, \u0026 Willems, A","journal":"Polar Science","doi":null,"created_at":"2021-09-30T08:24:17.489Z","updated_at":"2021-09-30T11:28:31.717Z"},{"id":2036,"pubmed_id":21592144,"title":"Low cyanobacterial diversity in biotopes of the Transantarctic Mountains and Shackleton Range (80-82 degrees S), Antarctica.","year":2011,"url":"http://doi.org/10.1111/j.1574-6941.2011.01132.x","authors":"Fernandez-Carazo R,Hodgson DA,Convey P,Wilmotte A","journal":"FEMS Microbiol Ecol","doi":"10.1111/j.1574-6941.2011.01132.x","created_at":"2021-09-30T08:26:09.256Z","updated_at":"2021-09-30T08:26:09.256Z"},{"id":2059,"pubmed_id":null,"title":"Late Holocene changes in cyanobacterial community structure in maritime Antarctic lakes","year":2013,"url":"https://link.springer.com/article/10.1007/s10933-013-9700-3","authors":"Fernandez-Carazo, R, Verleyen, E, Hodgson, D. A, Roberts, S. J, Waleron, K, Vyverman, W, \u0026 Wilmotte, A","journal":"Journal of Paleolimnology","doi":null,"created_at":"2021-09-30T08:26:12.032Z","updated_at":"2021-09-30T11:28:34.063Z"},{"id":2060,"pubmed_id":null,"title":"Cyanobacterial diversity for an anthropogenic impact assessment in the Sor Rondane Mountains area, Antarctica","year":2012,"url":"https://www.cambridge.org/core/journals/antarctic-science/article/abs/cyanobacterial-diversity-for-an-anthropogenic-impact-assessment-in-the-sor-rondane-mountains-area-antarctica/FBBAD63E961078C7251C30766F73ABAF","authors":"Fernandez-Carazo, R, Namsaraev, Z, Mano, M.-J, Ertz, D, \u0026 Wilmotte, A.","journal":"Antarctic Science","doi":null,"created_at":"2021-09-30T08:26:12.132Z","updated_at":"2021-09-30T11:28:34.163Z"},{"id":2670,"pubmed_id":null,"title":"Evidence for widespread endemism among Antarctic micro-organisms","year":2010,"url":"https://doi.org/10.1016/j.polar.2010.03.006","authors":"Vyverman, W, Verleyen, E, Wilmotte, A, Hodgson, D. A, Willems, A, Peeters, K, Van De Vijver, B, De Wever, A, Leliaert, F, \u0026 Sabbe, K","journal":"Polar Science","doi":null,"created_at":"2021-09-30T08:27:27.845Z","updated_at":"2021-09-30T11:28:37.129Z"},{"id":2671,"pubmed_id":null,"title":"Biogeography of terrestrial cyanobacteria from Antarctic ice-free areas","year":2010,"url":"https://doi.org/10.3189/172756411795931930","authors":"Namsaraev, Z, Mano, M.-J, Fernandez Carazo, R, \u0026 Wilmotte, A","journal":"Annals of Glaciology","doi":null,"created_at":"2021-09-30T08:27:27.954Z","updated_at":"2021-09-30T11:28:37.278Z"},{"id":2674,"pubmed_id":null,"title":"Structuring effects of climate-related environmental factors on Antarctic microbial mat communities","year":2010,"url":"http://hdl.handle.net/2268/33815","authors":"Verleyen, E, Sabbe, K, Hodgson, D. A, Grubisic, S, Taton, A, Cousin, S, Wilmotte, A, De Wever, A, Van Der Gucht, K, \u0026 Vyverman, W","journal":"Aquatic Microbial Ecology","doi":null,"created_at":"2021-09-30T08:27:28.320Z","updated_at":"2021-09-30T11:28:37.378Z"}],"licence_links":[{"licence_name":"BCCM Material Transfer Agreement (MTA) 1.4","licence_id":62,"licence_url":"http://bccm.belspo.be/services/mta","link_id":898,"relation":"undefined"},{"licence_name":"BCCM website legal notice","licence_id":63,"licence_url":"http://bccm.belspo.be/legal/disclaimer","link_id":864,"relation":"undefined"}],"grants":[{"id":2455,"fairsharing_record_id":2392,"organisation_id":3081,"relation":"funds","created_at":"2021-09-30T09:25:44.424Z","updated_at":"2021-09-30T09:25:44.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":3081,"name":"University of Liege, Belgium","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2454,"fairsharing_record_id":2392,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:44.396Z","updated_at":"2021-09-30T09:25:44.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2456,"fairsharing_record_id":2392,"organisation_id":467,"relation":"maintains","created_at":"2021-09-30T09:25:44.460Z","updated_at":"2021-09-30T09:25:44.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":467,"name":"Centre for Protein Engineering (CIP), University of Liege, Liege, Belgium","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2382","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T10:55:28.000Z","updated_at":"2023-06-22T17:51:30.815Z","metadata":{"doi":"10.25504/FAIRsharing.dq34p2","name":"Continuously Automated Model Evaluation","status":"ready","contacts":[{"contact_name":"Torsten Schwede","contact_email":"torsten.schwede@unibas.ch","contact_orcid":"0000-0003-2715-335X"}],"homepage":"http://cameo3d.org/","citations":[],"identifier":2382,"description":"Continuous automated benchmarking of computational protein structure prediction methods (and model quality estimation techniques). CAMEO assessment is based on blind predictions for weekly pre-released targets from PDB. Benchmarking results are made available as reference data for methods development.","abbreviation":"CAMEO","data_curation":{"url":"https://onlinelibrary.wiley.com/doi/10.1002/prot.26213","type":"automated","notes":"Automatic predictions for protein-protein complexes, for proteins in complex with ligands, peptides, nucleic acids, and proteins containing non-canonical amino acid residues"},"support_links":[{"url":"http://cameo3d.org/cameong_faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cameo3d.org/cameong_help/","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://cameo3d.org/cameong_registration/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000862","bsg-d000862"],"name":"FAIRsharing record for: Continuously Automated Model Evaluation","abbreviation":"CAMEO","url":"https://fairsharing.org/10.25504/FAIRsharing.dq34p2","doi":"10.25504/FAIRsharing.dq34p2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Continuous automated benchmarking of computational protein structure prediction methods (and model quality estimation techniques). CAMEO assessment is based on blind predictions for weekly pre-released targets from PDB. Benchmarking results are made available as reference data for methods development.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11391},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12179},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12767}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Mathematical model","Protein structure","Experimental measurement","Computational biological predictions","Benchmarking","Crowdsourcing","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1369,"pubmed_id":23624946,"title":"The Protein Model Portal--a comprehensive resource for protein structure and model information.","year":2013,"url":"http://doi.org/10.1093/database/bat031","authors":"Haas J,Roth S,Arnold K,Kiefer F,Schmidt T,Bordoli L,Schwede T","journal":"Database (Oxford)","doi":"10.1093/database/bat031","created_at":"2021-09-30T08:24:53.093Z","updated_at":"2021-09-30T08:24:53.093Z"}],"licence_links":[{"licence_name":"CAMEO Terms and Conditions of Use","licence_id":95,"licence_url":"http://cameo3d.org/cameong_terms/","link_id":154,"relation":"undefined"}],"grants":[{"id":2425,"fairsharing_record_id":2382,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:43.393Z","updated_at":"2021-09-30T09:32:08.746Z","grant_id":1489,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U01 GM093324-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2424,"fairsharing_record_id":2382,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:43.363Z","updated_at":"2021-09-30T09:25:43.363Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2426,"fairsharing_record_id":2382,"organisation_id":284,"relation":"maintains","created_at":"2021-09-30T09:25:43.421Z","updated_at":"2021-09-30T09:25:43.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":284,"name":"Biozentrum, University of Basel, Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2383","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T11:22:52.000Z","updated_at":"2023-12-15T10:31:18.926Z","metadata":{"doi":"10.25504/FAIRsharing.t1a232","name":"Sequencing Initiative Suomi","status":"ready","contacts":[{"contact_name":"Hannele Laivuori","contact_email":"hannele.laivuori@helsinki.fi","contact_orcid":"0000-0003-3212-7826"}],"homepage":"http://www.sisuproject.fi/","identifier":2383,"description":"The Sequencing Initiative Suomi (SISu) search engine offers a way to search for data on sequence variants in the Finnish population. It provides valuable summary data for researchers and clinicians as well as other researchers with an interest in genetics in Finland. With SISu, you can examine the attributes and appearance of different variants in Finnish cohorts and see their aggregate distribution in Finland visualized on a map. The SISu project is an international collaboration between multiple research groups aiming to build tools for genomic medicine.","abbreviation":"SISu","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.sisuproject.fi/contact","type":"Contact form"},{"url":"http://www.sisuproject.fi/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.sisuproject.fi/how-to-use","type":"Help documentation"},{"url":"http://www.sisuproject.fi/about","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000863","bsg-d000863"],"name":"FAIRsharing record for: Sequencing Initiative Suomi","abbreviation":"SISu","url":"https://fairsharing.org/10.25504/FAIRsharing.t1a232","doi":"10.25504/FAIRsharing.t1a232","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sequencing Initiative Suomi (SISu) search engine offers a way to search for data on sequence variants in the Finnish population. It provides valuable summary data for researchers and clinicians as well as other researchers with an interest in genetics in Finland. With SISu, you can examine the attributes and appearance of different variants in Finnish cohorts and see their aggregate distribution in Finland visualized on a map. The SISu project is an international collaboration between multiple research groups aiming to build tools for genomic medicine.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11392},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12180},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12768}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genomics","Biomedical Science","Epidemiology","Preclinical Studies"],"domains":["Genetic polymorphism","Sequencing","Disease","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":2011,"pubmed_id":26030606,"title":"Targeted resequencing of the pericentromere of chromosome 2 linked to constitutional delay of growth and puberty.","year":2015,"url":"http://doi.org/10.1371/journal.pone.0128524","authors":"Cousminer DL,Leinonen JT,Sarin AP,Chheda H,Surakka I,Wehkalampi K,Ellonen P,Ripatti S,Dunkel L,Palotie A,Widen E","journal":"PLoS One","doi":"10.1371/journal.pone.0128524","created_at":"2021-09-30T08:26:06.574Z","updated_at":"2021-09-30T08:26:06.574Z"},{"id":2029,"pubmed_id":25078778,"title":"Distribution and medical impact of loss-of-function variants in the Finnish founder population.","year":2014,"url":"http://doi.org/10.1371/journal.pgen.1004494","authors":"Lim ET,Wurtz P,Havulinna AS,Palta P,Tukiainen T,Rehnstrom K,Esko T,Magi R,Inouye M,Lappalainen T,Chan Y,Salem RM,Lek M,Flannick J,Sim X,Manning A,Ladenvall C,Bumpstead S,Hamalainen E,Aalto K,Maksimow M,Salmi M,Blankenberg S,Ardissino D,Shah S,Horne B,McPherson R,Hovingh GK,Reilly MP,Watkins H,Goel A,Farrall M,Girelli D,Reiner AP,Stitziel NO,Kathiresan S,Gabriel S,Barrett JC,Lehtimaki T,Laakso M,Groop L,Kaprio J,Perola M,McCarthy MI,Boehnke M,Altshuler DM,Lindgren CM,Hirschhorn JN,Metspalu A,Freimer NB,Zeller T,Jalkanen S,Koskinen S,Raitakari O,Durbin R,MacArthur DG,Salomaa V,Ripatti S,Daly MJ,Palotie A","journal":"PLoS Genet","doi":"10.1371/journal.pgen.1004494","created_at":"2021-09-30T08:26:08.490Z","updated_at":"2021-09-30T08:26:08.490Z"}],"licence_links":[],"grants":[{"id":2427,"fairsharing_record_id":2383,"organisation_id":1016,"relation":"funds","created_at":"2021-09-30T09:25:43.445Z","updated_at":"2021-09-30T09:25:43.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1016,"name":"Finska lakaresellskapet, Helsinki, Finland","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2430,"fairsharing_record_id":2383,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:43.568Z","updated_at":"2021-09-30T09:29:25.826Z","grant_id":246,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"201413","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2432,"fairsharing_record_id":2383,"organisation_id":17,"relation":"funds","created_at":"2021-09-30T09:25:43.643Z","updated_at":"2021-09-30T09:30:48.790Z","grant_id":882,"is_lead":false,"saved_state":{"id":17,"name":"Academy of Finland, Helsinki, Finland","grant":"267561","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2431,"fairsharing_record_id":2383,"organisation_id":3064,"relation":"maintains","created_at":"2021-09-30T09:25:43.606Z","updated_at":"2021-09-30T09:25:43.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":3064,"name":"University of Helsinki, Finland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2428,"fairsharing_record_id":2383,"organisation_id":778,"relation":"funds","created_at":"2021-09-30T09:25:43.476Z","updated_at":"2021-09-30T09:30:38.439Z","grant_id":802,"is_lead":false,"saved_state":{"id":778,"name":"Doctoral Programme in Biomedicine, University of Helsinki, Helsinki, Finland","grant":"Personal grant","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2429,"fairsharing_record_id":2383,"organisation_id":1226,"relation":"funds","created_at":"2021-09-30T09:25:43.527Z","updated_at":"2021-09-30T09:31:17.508Z","grant_id":1104,"is_lead":false,"saved_state":{"id":1226,"name":"Healthy People 2010 program, Centers for Disease Control and Prevention, Atlanta, GA, USA","grant":"261433","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8381,"fairsharing_record_id":2383,"organisation_id":1226,"relation":"funds","created_at":"2021-09-30T09:32:22.601Z","updated_at":"2021-09-30T09:32:22.654Z","grant_id":1591,"is_lead":false,"saved_state":{"id":1226,"name":"Healthy People 2010 program, Centers for Disease Control and Prevention, Atlanta, GA, USA","grant":"261123","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8410,"fairsharing_record_id":2383,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:32:31.293Z","updated_at":"2021-09-30T09:32:31.337Z","grant_id":1658,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"242167","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2384","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T11:49:42.000Z","updated_at":"2023-01-03T15:58:06.908Z","metadata":{"doi":"10.25504/FAIRsharing.7sfedh","name":"CRISPRdb","status":"deprecated","contacts":[{"contact_name":"Christine Pourcel","contact_email":"Christine.Pourcel@u-psud.fr","contact_orcid":"0000-0002-8951-466X"}],"homepage":"http://crispr.i2bc.paris-saclay.fr/","citations":[],"identifier":2384,"description":"CRISPRdb acts as a gateway to a publicly accessible database and software. It enables the easy detection of CRISPR sequences in locally-produced data and the consultation of CRISPR sequence data present in the database. It also gives information on the presence of CRISPR-associated (cas) genes when they have been annotated as such.","abbreviation":"CRISPRdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://crispr.i2bc.paris-saclay.fr/index.php?page=FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://crispr.i2bc.paris-saclay.fr/crispr/HelpTopics/help_CRISPRdatabase.html","type":"Help documentation"},{"url":"http://crispr.i2bc.paris-saclay.fr/crispr/HelpTopics/examples_CRISPRdatabase.html","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://crispr.i2bc.paris-saclay.fr/crispr/BLAST/CRISPRsBlast.php","name":"blast"},{"url":"http://crispr.i2bc.paris-saclay.fr/CRISPRcompar/","name":"CRISPRcompar"},{"url":"http://crispr.i2bc.paris-saclay.fr/Server/","name":"CRISPRfinder"}],"deprecation_date":"2020-09-10","deprecation_reason":"Deprecated after correspondence with Christine Pourcel (maintainer)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000864","bsg-d000864"],"name":"FAIRsharing record for: CRISPRdb","abbreviation":"CRISPRdb","url":"https://fairsharing.org/10.25504/FAIRsharing.7sfedh","doi":"10.25504/FAIRsharing.7sfedh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CRISPRdb acts as a gateway to a publicly accessible database and software. It enables the easy detection of CRISPR sequences in locally-produced data and the consultation of CRISPR sequence data present in the database. It also gives information on the presence of CRISPR-associated (cas) genes when they have been annotated as such.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12181}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Sequence","CRISPR"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2040,"pubmed_id":17521438,"title":"The CRISPRdb database and tools to display CRISPRs and to generate dictionaries of spacers and repeats.","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-172","authors":"Grissa I,Vergnaud G,Pourcel C","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-172","created_at":"2021-09-30T08:26:09.757Z","updated_at":"2021-09-30T08:26:09.757Z"},{"id":2044,"pubmed_id":17537822,"title":"CRISPRFinder: a web tool to identify clustered regularly interspaced short palindromic repeats.","year":2007,"url":"http://doi.org/10.1093/nar/gkm360","authors":"Grissa I,Vergnaud G,Pourcel C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm360","created_at":"2021-09-30T08:26:10.297Z","updated_at":"2021-09-30T11:29:27.245Z"},{"id":2045,"pubmed_id":18442988,"title":"CRISPRcompar: a website to compare clustered regularly interspaced short palindromic repeats.","year":2008,"url":"http://doi.org/10.1093/nar/gkn228","authors":"Grissa I,Vergnaud G,Pourcel C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn228","created_at":"2021-09-30T08:26:10.396Z","updated_at":"2021-09-30T11:29:27.335Z"}],"licence_links":[],"grants":[{"id":2436,"fairsharing_record_id":2384,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:43.762Z","updated_at":"2021-09-30T09:30:09.780Z","grant_id":579,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-14-ASMA-0002-02 MicroType","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2433,"fairsharing_record_id":2384,"organisation_id":2709,"relation":"funds","created_at":"2021-09-30T09:25:43.672Z","updated_at":"2021-09-30T09:31:13.785Z","grant_id":1075,"is_lead":false,"saved_state":{"id":2709,"name":"TBChina EU project","grant":"Project no.012166","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9206,"fairsharing_record_id":2384,"organisation_id":1974,"relation":"funds","created_at":"2022-04-11T12:07:22.090Z","updated_at":"2022-04-11T12:07:22.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2385","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T13:44:50.000Z","updated_at":"2024-03-20T13:12:30.248Z","metadata":{"doi":"10.25504/FAIRsharing.m58329","name":"Database Of Local Biomolecular Conformers","status":"deprecated","contacts":[{"contact_name":"Petr Čech","contact_email":"petr.cech@vscht.cz"}],"homepage":"http://dolbico.org/","citations":[],"identifier":2385,"description":"Dolbico, the Database Of Local Biomolecular Conformers, stores DNA structural data including the information about DNA local spatial arrangement. The main aim of Dolbico is the exploration of DNA structure at a local level. The analysis of local DNA structure is based on a classification system that uses 9 torsional angles (7 backbone angles and two glycosidic torsions) to categorize dinucleotides into several distinct conformational families. The implemented classification workflow is able not only to classify dinucleotides into already existing classes, but is also able to discover new classes in new solved DNA structures.","abbreviation":"Dolbico","data_curation":{"type":"not found"},"support_links":[{"url":"http://dolbico.org/help","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2024-03-20","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000865","bsg-d000865"],"name":"FAIRsharing record for: Database Of Local Biomolecular Conformers","abbreviation":"Dolbico","url":"https://fairsharing.org/10.25504/FAIRsharing.m58329","doi":"10.25504/FAIRsharing.m58329","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dolbico, the Database Of Local Biomolecular Conformers, stores DNA structural data including the information about DNA local spatial arrangement. The main aim of Dolbico is the exploration of DNA structure at a local level. The analysis of local DNA structure is based on a classification system that uses 9 torsional angles (7 backbone angles and two glycosidic torsions) to categorize dinucleotides into several distinct conformational families. The implemented classification workflow is able not only to classify dinucleotides into already existing classes, but is also able to discover new classes in new solved DNA structures.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11393},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12182}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Classification","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[],"licence_links":[],"grants":[{"id":2437,"fairsharing_record_id":2385,"organisation_id":1674,"relation":"maintains","created_at":"2021-09-30T09:25:43.787Z","updated_at":"2021-09-30T09:25:43.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1674,"name":"Laboratory of Informatics and Chemistry, Prague, Czech Republic","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2372","type":"fairsharing_records","attributes":{"created_at":"2016-12-07T22:02:32.000Z","updated_at":"2024-01-03T07:55:28.990Z","metadata":{"doi":"10.25504/FAIRsharing.1y63n8","name":"MorphoBank","status":"ready","contacts":[{"contact_name":"Tanya Berardini","contact_email":"tberardini@phoenixbioinformatics.org","contact_orcid":"0000-0002-3837-8864"}],"homepage":"https://morphobank.org/","citations":[],"identifier":2372,"description":"MorphoBank provides a digital archive of biodiversity and evolutionary research data, specifically systematics (the science of determining the evolutionary relationships among species). MorphoBank aids development of the Tree of Life - the genealogy of all living and extinct species. Heritable features - both genotypes (e.g., DNA sequences) and phenotypes (e.g., anatomy, behavior, physiology) are stored as part of the Tree of Life project. While the genomic part of this work is archived at the National Center for Biotechnology Information (NCBI), MorphoBank is part of the infrastructure for storing and sharing phenotype data, including information on anatomy, physiology, behavior and other features of species. One can think of MorphoBank as two databases in one: one that permits researchers to upload images and affiliate data with those images (labels, species names, etc.) and a second database that allows researchers to upload morphological data and affiliate it with phylogenetic matrices. In both cases, MorphoBank is project-based, meaning a team of researchers can create a project and share the images and associated data exclusively with each other. When a paper associated with the project is published, the research team can make their data permanently available for view on MorphoBank where it is now archived. The phylogenetic matrix aspect of MorphoBank is designed to aid systematists working alone or in teams to build large phylogenetic trees using morphology (anatomy, histology, neurology, or any aspect of phenotypes) or a combination of morphology and molecular data.","abbreviation":"MorphoBank","data_curation":{"type":"manual"},"support_links":[{"url":"https://morphobank.org/index.php/Press/Index","name":"In The News","type":"Blog/News"},{"url":"https://morphobank.org/index.php/Contact/Index","name":"Contact Form","type":"Contact form"},{"url":"https://morphobank.org/index.php/FAQ/Index","name":"MorphoBank FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://morphobank.org/index.php/Documentation/Index","name":"Documentation","type":"Help documentation"},{"url":"https://morphobank.org/index.php/About/Index","name":"About MorphoBank","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Morphobank","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010101","name":"re3data:r3d100010101","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003213","name":"SciCrunch:RRID:SCR_003213","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://conf.phoenixbioinformatics.org/display/MD/User+Guide+-+Project+Management#UserGuideProjectManagement-CreatingaNewProject","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000851","bsg-d000851"],"name":"FAIRsharing record for: MorphoBank","abbreviation":"MorphoBank","url":"https://fairsharing.org/10.25504/FAIRsharing.1y63n8","doi":"10.25504/FAIRsharing.1y63n8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MorphoBank provides a digital archive of biodiversity and evolutionary research data, specifically systematics (the science of determining the evolutionary relationships among species). MorphoBank aids development of the Tree of Life - the genealogy of all living and extinct species. Heritable features - both genotypes (e.g., DNA sequences) and phenotypes (e.g., anatomy, behavior, physiology) are stored as part of the Tree of Life project. While the genomic part of this work is archived at the National Center for Biotechnology Information (NCBI), MorphoBank is part of the infrastructure for storing and sharing phenotype data, including information on anatomy, physiology, behavior and other features of species. One can think of MorphoBank as two databases in one: one that permits researchers to upload images and affiliate data with those images (labels, species names, etc.) and a second database that allows researchers to upload morphological data and affiliate it with phylogenetic matrices. In both cases, MorphoBank is project-based, meaning a team of researchers can create a project and share the images and associated data exclusively with each other. When a paper associated with the project is published, the research team can make their data permanently available for view on MorphoBank where it is now archived. The phylogenetic matrix aspect of MorphoBank is designed to aid systematists working alone or in teams to build large phylogenetic trees using morphology (anatomy, histology, neurology, or any aspect of phenotypes) or a combination of morphology and molecular data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Paleontology","Phylogeny","Phylogenetics","Behavioural Biology","Biodiversity","Evolutionary Biology","Biology"],"domains":["Bioimaging","Evolution"],"taxonomies":["All"],"user_defined_tags":["phylogenetic matrix"],"countries":["United States"],"publications":[{"id":2203,"pubmed_id":24987572,"title":"Best practices for data sharing in phylogenetic research.","year":2014,"url":"http://doi.org/10.1371/currents.tol.bf01eff4a6b60ca4825c69293dc59645","authors":"Cranston K,Harmon LJ,O'Leary MA,Lisle C","journal":"PLoS Curr","doi":"10.1371/currents.tol.bf01eff4a6b60ca4825c69293dc59645","created_at":"2021-09-30T08:26:28.248Z","updated_at":"2021-09-30T08:26:28.248Z"},{"id":2204,"pubmed_id":25861210,"title":"A RESTful API for Access to Phylogenetic Tools via the CIPRES Science Gateway.","year":2015,"url":"http://doi.org/10.4137/EBO.S21501","authors":"Miller MA,Schwartz T,Pickett BE,He S,Klem EB,Scheuermann RH,Passarotti M,Kaufman S,O'Leary MA","journal":"Evol Bioinform Online","doi":"10.4137/EBO.S21501","created_at":"2021-09-30T08:26:28.401Z","updated_at":"2021-09-30T08:26:28.401Z"},{"id":2205,"pubmed_id":null,"title":"From card catalogs to computers: databases in vertebrate paleontology","year":2013,"url":"http://doi.org/10.1080/02724634.2012.716114","authors":"Mark D. Uhen, Anthony D. Barnosky, Brian Bills, et al.","journal":"Journal of Vertebrate Paleontology, 33:1, 13-28","doi":"10.1080/02724634.2012.716114","created_at":"2021-09-30T08:26:28.523Z","updated_at":"2021-09-30T08:26:28.523Z"},{"id":2224,"pubmed_id":null,"title":"Editorial","year":2011,"url":"http://doi.org/10.1080/02724634.2011.546742","authors":"Annalisa Berta, Paul M. Barrett","journal":"Journal of Vertebrate Paleontology, 31:1, 1","doi":"10.1080/02724634.2011.546742","created_at":"2021-09-30T08:26:30.599Z","updated_at":"2021-09-30T08:26:30.599Z"},{"id":2225,"pubmed_id":null,"title":"The encyclopedia of life","year":2003,"url":"http://doi.org/10.1016/S0169-5347(02)00040-X","authors":"Wilson, Edward O","journal":"Trends in Ecology and Evolution , Volume 18 , Issue 2 , 77 - 80","doi":"10.1016/S0169-5347(02)00040-X","created_at":"2021-09-30T08:26:30.699Z","updated_at":"2021-09-30T08:26:30.699Z"},{"id":2226,"pubmed_id":null,"title":"Strategies and guidelines for scholarly publishing of biodiversity data","year":2017,"url":"http://doi.org/10.3897/rio.3.e12431","authors":"Penev L, Mietchen D, Chavan V, Hagedorn G, Smith V, Shotton D, O Tuama E, Senderov V, Georgiev T, Stoev P, Groom Q, Remsen D, Edmunds S","journal":"Research Ideas and Outcomes 3: e12431","doi":"10.3897/rio.3.e12431","created_at":"2021-09-30T08:26:30.810Z","updated_at":"2021-09-30T08:26:30.810Z"},{"id":3072,"pubmed_id":null,"title":"MorphoBank: phylophenomics in the “cloud”","year":2011,"url":"http://doi.org/10.1111/j.1096-0031.2011.00355.x","authors":"O'Leary, M. A. and Kaufman, S.","journal":"Cladistics, 27: 529–537","doi":"10.1111/j.1096-0031.2011.00355.x","created_at":"2021-09-30T08:28:18.549Z","updated_at":"2021-09-30T08:28:18.549Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2161,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2160,"relation":"undefined"},{"licence_name":"MorphoBank Terms of Use","licence_id":521,"licence_url":"https://morphobank.org/index.php/TermsOfUse/Index","link_id":2162,"relation":"undefined"}],"grants":[{"id":2385,"fairsharing_record_id":2372,"organisation_id":79,"relation":"maintains","created_at":"2021-09-30T09:25:42.096Z","updated_at":"2021-09-30T09:25:42.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":79,"name":"American Museum of Natural History, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2388,"fairsharing_record_id":2372,"organisation_id":2646,"relation":"maintains","created_at":"2021-09-30T09:25:42.192Z","updated_at":"2021-09-30T09:25:42.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":2646,"name":"Stony Brook University, Stony Brook, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2384,"fairsharing_record_id":2372,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:42.066Z","updated_at":"2021-09-30T09:31:20.152Z","grant_id":1124,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1457925","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8460,"fairsharing_record_id":2372,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:44.436Z","updated_at":"2021-09-30T09:32:44.492Z","grant_id":1757,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0622359","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2386,"fairsharing_record_id":2372,"organisation_id":79,"relation":"funds","created_at":"2021-09-30T09:25:42.118Z","updated_at":"2021-09-30T09:25:42.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":79,"name":"American Museum of Natural History, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2387,"fairsharing_record_id":2372,"organisation_id":2322,"relation":"maintains","created_at":"2021-09-30T09:25:42.150Z","updated_at":"2021-09-30T09:25:42.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":2322,"name":"Phoenix Bioinformatics Corporation","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2390,"fairsharing_record_id":2372,"organisation_id":1898,"relation":"maintains","created_at":"2021-09-30T09:25:42.271Z","updated_at":"2021-09-30T09:25:42.271Z","grant_id":null,"is_lead":true,"saved_state":{"id":1898,"name":"MorphoBank Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2389,"fairsharing_record_id":2372,"organisation_id":2056,"relation":"funds","created_at":"2021-09-30T09:25:42.240Z","updated_at":"2021-09-30T09:32:42.247Z","grant_id":1740,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","grant":"NA04OAR4700191","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8469,"fairsharing_record_id":2372,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:47.303Z","updated_at":"2021-09-30T09:32:47.355Z","grant_id":1778,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-9903964","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2373","type":"fairsharing_records","attributes":{"created_at":"2017-01-14T19:43:51.000Z","updated_at":"2022-04-21T07:44:08.929Z","metadata":{"doi":"10.25504/FAIRsharing.v1h8rk","name":"Atlas of Living Australia IPT - GBIF Australia Repository","status":"deprecated","contacts":[{"contact_email":"helpdesk@gbif.org"}],"homepage":"http://ipt.ala.org.au/","citations":[],"identifier":2373,"description":"The Atlas of Living Australia (GBIF Australia) maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Australia supports researchers in Australia by providing them helpdesk assistance and by hosting their data for free in this repository.","abbreviation":"ALA IPT - GBIF Australia Repository","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/FAQ.wiki","name":"IPT FAQ","type":"Github"},{"url":"https://github.com/gbif/ipt/issues/new","name":"IPT Issues","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"IPT Manual","type":"Github"},{"url":"http://ipt.ala.org.au/about.do","name":"About the ALA IPT","type":"Help documentation"},{"url":"http://ipt.ala.org.au/rss.do","name":"ALA IPT RSS Feed","type":"Blog/News"},{"url":"https://twitter.com/atlaslivingaust","name":"@atlaslivingaust","type":"Twitter"}],"year_creation":2016,"data_versioning":"not found","deprecation_date":"2022-04-21","deprecation_reason":"Functionality that led to the installation of the IPT is now supported through the Atlas of Living Australia's own software stack: see https://fairsharing.org/FAIRsharing.2f66da","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000852","bsg-d000852"],"name":"FAIRsharing record for: Atlas of Living Australia IPT - GBIF Australia Repository","abbreviation":"ALA IPT - GBIF Australia Repository","url":"https://fairsharing.org/10.25504/FAIRsharing.v1h8rk","doi":"10.25504/FAIRsharing.v1h8rk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Atlas of Living Australia (GBIF Australia) maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Australia supports researchers in Australia by providing them helpdesk assistance and by hosting their data for free in this repository.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11643}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":["Introduced Species","Invasive Species"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1500,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1497,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1499,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1498,"relation":"undefined"}],"grants":[{"id":2392,"fairsharing_record_id":2373,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:42.335Z","updated_at":"2021-09-30T09:25:42.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2391,"fairsharing_record_id":2373,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:25:42.312Z","updated_at":"2021-09-30T09:25:42.312Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2393,"fairsharing_record_id":2373,"organisation_id":132,"relation":"maintains","created_at":"2021-09-30T09:25:42.361Z","updated_at":"2021-09-30T09:25:42.361Z","grant_id":null,"is_lead":true,"saved_state":{"id":132,"name":"Atlas of Living Australia, Australia","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2369","type":"fairsharing_records","attributes":{"created_at":"2016-12-01T10:34:17.000Z","updated_at":"2023-12-15T10:33:07.196Z","metadata":{"doi":"10.25504/FAIRsharing.3f9n4y","name":"Open Targets","status":"ready","contacts":[{"contact_name":"Open Targets Team","contact_email":"helpdesk@opentargets.org"}],"homepage":"https://platform.opentargets.org/","citations":[{"doi":"10.1093/nar/gkac1046","pubmed_id":null,"publication_id":3909}],"identifier":2369,"description":"Open Targets is a data integration platform for access to and visualisation of potential drug targets associated with disease. Each drug target is linked to a disease using integrated genome-wide data from a broad range of data sources.","abbreviation":"Open Targets","data_curation":{"type":"not found"},"support_links":[{"url":"http://blog.opentargets.org/","name":"Open Targets Blog","type":"Blog/News"},{"url":"https://www.opentargets.org/contact","name":"Contact Form","type":"Contact form"},{"url":"https://community.opentargets.org/","name":"Community Forum","type":"Forum"},{"url":"https://platform-docs.opentargets.org/","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/opentargets","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/text-mining-key-concepts-and-applications","name":"Text mining: Key concepts and applications","type":"TeSS links to training materials"},{"url":"https://twitter.com/opentargets","name":"@opentargets","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"url":"https://platform.opentargets.org/downloads","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000848","bsg-d000848"],"name":"FAIRsharing record for: Open Targets","abbreviation":"Open Targets","url":"https://fairsharing.org/10.25504/FAIRsharing.3f9n4y","doi":"10.25504/FAIRsharing.3f9n4y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Targets is a data integration platform for access to and visualisation of potential drug targets associated with disease. Each drug target is linked to a disease using integrated genome-wide data from a broad range of data sources.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11784},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12766}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Molecular biology","Genomics","Epigenetics","Genetics","Human Genetics","Transcriptomics","Biomedical Science"],"domains":["Gene report","Abstract","Text mining","Disease process modeling","Rare disease","Phenotype","Disease phenotype","Disease","Gene-disease association","Target","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China","United Kingdom","United States"],"publications":[{"id":1231,"pubmed_id":27899665,"title":"Open Targets: a platform for therapeutic target identification and validation.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1055","authors":"Koscielny G,An P,Carvalho-Silva D et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1055","created_at":"2021-09-30T08:24:37.306Z","updated_at":"2021-09-30T11:29:03.495Z"},{"id":2054,"pubmed_id":33196847,"title":"Open Targets Platform: supporting systematic drug-target identification and prioritisation.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1027","authors":"Ochoa D,Hercules A,Carmona M et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1027","created_at":"2021-09-30T08:26:11.404Z","updated_at":"2021-09-30T11:29:27.520Z"},{"id":2571,"pubmed_id":30462303,"title":"Open Targets Platform: new developments and updates two years on.","year":2018,"url":"http://doi.org/10.1093/nar/gky1133","authors":"Carvalho-Silva D,Pierleoni A,Pignatelli M,Ong C,Fumis L,Karamanis N,Carmona M,Faulconbridge A,Hercules A,McAuley E,Miranda A,Peat G,Spitzer M,Barrett J,Hulcoop DG,Papa E,Koscielny G,Dunham I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1133","created_at":"2021-09-30T08:27:15.259Z","updated_at":"2021-09-30T11:29:39.612Z"},{"id":3909,"pubmed_id":null,"title":"The next-generation Open Targets Platform: reimagined, redesigned, rebuilt","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1046","authors":"Ochoa, David; Hercules, Andrew; Carmona, Miguel; Suveges, Daniel; Baker, Jarrod; Malangone, Cinzia; Lopez, Irene; Miranda, Alfredo; Cruz-Castillo, Carlos; Fumis, Luca; Bernal-Llinares, Manuel; Tsukanov, Kirill; Cornu, Helena; Tsirigos, Konstantinos; Razuvayevskaya, Olesya; Buniello, Annalisa; Schwartzentruber, Jeremy; Karim, Mohd; Ariano, Bruno; Martinez Osorio, Ricardo Esteban; Ferrer, Javier; Ge, Xiangyu; Machlitt-Northen, Sandra; Gonzalez-Uriarte, Asier; Saha, Shyamasree; Tirunagari, Santosh; Mehta, Chintan; Roldán-Romero, Juan María; Horswell, Stuart; Young, Sarah; Ghoussaini, Maya; Hulcoop, David G; Dunham, Ian; McDonagh, Ellen M; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1046","created_at":"2023-06-14T07:41:44.652Z","updated_at":"2023-06-14T07:41:44.652Z"}],"licence_links":[{"licence_name":"Open Target Terms of Use","licence_id":632,"licence_url":"https://platform-docs.opentargets.org/terms-of-use","link_id":808,"relation":"undefined"}],"grants":[{"id":2378,"fairsharing_record_id":2369,"organisation_id":232,"relation":"maintains","created_at":"2021-09-30T09:25:41.903Z","updated_at":"2021-09-30T09:25:41.903Z","grant_id":null,"is_lead":false,"saved_state":{"id":232,"name":"BioGen","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2380,"fairsharing_record_id":2369,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:41.952Z","updated_at":"2021-09-30T09:25:41.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9248,"fairsharing_record_id":2369,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.162Z","updated_at":"2022-04-11T12:07:25.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9329,"fairsharing_record_id":2369,"organisation_id":403,"relation":"funds","created_at":"2022-04-11T12:07:30.789Z","updated_at":"2022-04-11T12:07:30.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2370","type":"fairsharing_records","attributes":{"created_at":"2017-01-12T17:59:26.000Z","updated_at":"2023-12-15T10:30:40.481Z","metadata":{"doi":"10.25504/FAIRsharing.q8fx1b","name":"Ontobee","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.ontobee.org/","citations":[],"identifier":2370,"description":"A linked data server designed for ontologies. Ontobee is aimed to facilitate ontology data sharing, visualization, query, integration, and analysis. Ontobee dynamically dereferences and presents individual ontology term URIs to (i) HTML web pages for user-friendly web browsing and navigation, and to (ii) RDF source code for Semantic Web applications. Ontobee is the default linked data server for most OBO Foundry library ontologies. Ontobee has also been used for many non-OBO ontologies.","abbreviation":"Ontobee","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.ontobee.org/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/forum/#!forum/ontobee-discuss","type":"Forum"},{"url":"http://www.ontobee.org/tutorial","type":"Help documentation"},{"url":"http://www.ontobee.org/introduction","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000849","bsg-d000849"],"name":"FAIRsharing record for: Ontobee","abbreviation":"Ontobee","url":"https://fairsharing.org/10.25504/FAIRsharing.q8fx1b","doi":"10.25504/FAIRsharing.q8fx1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A linked data server designed for ontologies. Ontobee is aimed to facilitate ontology data sharing, visualization, query, integration, and analysis. Ontobee dynamically dereferences and presents individual ontology term URIs to (i) HTML web pages for user-friendly web browsing and navigation, and to (ii) RDF source code for Semantic Web applications. Ontobee is the default linked data server for most OBO Foundry library ontologies. Ontobee has also been used for many non-OBO ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Ontology and Terminology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1994,"pubmed_id":27733503,"title":"Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration.","year":2016,"url":"http://doi.org/10.1093/nar/gkw918","authors":"Ong E, Xiang Z, Zhao B, Liu Y, Lin Y, Zheng J, Mungall C, Courtot M, Ruttenberg A, He Y.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw918","created_at":"2021-09-30T08:26:04.466Z","updated_at":"2021-09-30T08:26:04.466Z"}],"licence_links":[],"grants":[{"id":2382,"fairsharing_record_id":2370,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:25:42.003Z","updated_at":"2021-09-30T09:25:42.003Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2371","type":"fairsharing_records","attributes":{"created_at":"2016-12-05T09:50:22.000Z","updated_at":"2023-12-15T10:31:58.399Z","metadata":{"doi":"10.25504/FAIRsharing.e4r5nj","name":"MalaCards","status":"ready","contacts":[{"contact_name":"Doron Lancet","contact_email":"doron.lancet@weizmann.ac.il","contact_orcid":"0000-0001-8643-2055"}],"homepage":"http://www.malacards.org/","identifier":2371,"description":"The MalaCards human disease database (http://www. malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards’ affiliation with the GeneCards Suite of databases. MalaCards’ capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a ‘flat’ disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny.","abbreviation":"MalaCards","data_curation":{"url":"https://www.malacards.org/pages/info","type":"manual/automated"},"support_links":[{"url":"http://www.malacards.org/pages/info#whats_in_a_malacard","type":"Help documentation"},{"url":"http://www.malacards.org/pages/searchguide","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://www.malacards.org/categories","name":"View by Category"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012018","name":"re3data:r3d100012018","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005817","name":"SciCrunch:RRID:SCR_005817","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000850","bsg-d000850"],"name":"FAIRsharing record for: MalaCards","abbreviation":"MalaCards","url":"https://fairsharing.org/10.25504/FAIRsharing.e4r5nj","doi":"10.25504/FAIRsharing.e4r5nj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MalaCards human disease database (http://www. malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards’ affiliation with the GeneCards Suite of databases. MalaCards’ capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a ‘flat’ disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":1086,"pubmed_id":27899610,"title":"MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1012","authors":"Rappaport N,Twik M,Plaschkes I,Nudel R,Iny Stein T,Levitt J,Gershoni M,Morrey CP,Safran M,Lancet D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1012","created_at":"2021-09-30T08:24:20.304Z","updated_at":"2021-09-30T11:28:58.285Z"}],"licence_links":[{"licence_name":"GeneCards Academic License","licence_id":328,"licence_url":"http://www.genecards.org/AcadLicense.pdf","link_id":925,"relation":"undefined"}],"grants":[{"id":2383,"fairsharing_record_id":2371,"organisation_id":3224,"relation":"maintains","created_at":"2021-09-30T09:25:42.032Z","updated_at":"2021-09-30T09:25:42.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":3224,"name":"Weizmann Institute of Science, Rehovot, Israel","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2375","type":"fairsharing_records","attributes":{"created_at":"2017-01-09T18:36:47.000Z","updated_at":"2023-12-15T10:30:25.426Z","metadata":{"doi":"10.25504/FAIRsharing.bk3z3n","name":"GBIF Spain IPT - GBIF Spain Repository","status":"ready","contacts":[{"contact_name":"Santiago Martínez de la Riva","contact_email":"sama@gbif.es"}],"homepage":"http://www.gbif.es/ipt/","identifier":2375,"description":"GBIF Spain maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Spain supports researchers in Spain by providing them helpdesk assistance and by hosting their data for free in this repository. It has already been used to publish/host data in scientific publications, e.g. http://dx.doi.org/10.15470/qomfu6 which is the data this Scientific Data publication is based on: http://dx.doi.org/10.1038/sdata.2016.85","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"info@gbif.es","type":"Support email"},{"url":"https://github.com/gbif/ipt/wiki/FAQ.wiki","type":"Github"},{"url":"http://lists.gbif.org/mailman/listinfo/ipt","type":"Mailing list"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","type":"Github"},{"url":"http://www.gbif.org/disclaimer/datasharing","type":"Help documentation"},{"url":"https://twitter.com/GbifEs","type":"Twitter"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://www.gbif.org/ipt","name":"GBIF Integrated Publishing Toolkit (IPT) 2.3.x"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000854","bsg-d000854"],"name":"FAIRsharing record for: GBIF Spain IPT - GBIF Spain Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bk3z3n","doi":"10.25504/FAIRsharing.bk3z3n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF Spain maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Spain supports researchers in Spain by providing them helpdesk assistance and by hosting their data for free in this repository. It has already been used to publish/host data in scientific publications, e.g. http://dx.doi.org/10.15470/qomfu6 which is the data this Scientific Data publication is based on: http://dx.doi.org/10.1038/sdata.2016.85","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11644}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1981,"pubmed_id":27676217,"title":"Long-term data set of small mammals from owl pellets in the Atlantic-Mediterranean transition area.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.85","authors":"Escribano N,Galicia D,Arino AH,Escala C","journal":"Sci Data","doi":"10.1038/sdata.2016.85","created_at":"2021-09-30T08:26:02.949Z","updated_at":"2021-09-30T08:26:02.949Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1022,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":376,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1029,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1026,"relation":"undefined"}],"grants":[{"id":2402,"fairsharing_record_id":2375,"organisation_id":1167,"relation":"maintains","created_at":"2021-09-30T09:25:42.586Z","updated_at":"2021-09-30T09:25:42.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":1167,"name":"Global Biodiversity Information Facility (GBIF) in Spain, Madrid, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2400,"fairsharing_record_id":2375,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:25:42.535Z","updated_at":"2021-09-30T09:25:42.535Z","grant_id":null,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2401,"fairsharing_record_id":2375,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:25:42.561Z","updated_at":"2021-09-30T09:25:42.561Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2377","type":"fairsharing_records","attributes":{"created_at":"2017-01-14T20:27:28.000Z","updated_at":"2023-12-15T10:31:04.649Z","metadata":{"doi":"10.25504/FAIRsharing.t80940","name":"SiB Colombia IPT - GBIF Colombia Repository","status":"ready","contacts":[{"contact_name":"SiB Colombia Secretariat","contact_email":"sib@humboldt.org.co"}],"homepage":"http://ipt.biodiversidad.co/sib/","citations":[],"identifier":2377,"description":"The Colombian Biodiversity Information System (SiB Colombia) maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. SiB Colombia supports researchers in Colombia by providing them helpdesk assistance and by hosting their data for free in this repository.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/FAQ.wiki","type":"Github"},{"url":"https://github.com/SIB-Colombia/ipt/issues/new","type":"Github"},{"url":"https://sites.google.com/humboldt.org.co/wikisib/contacto","type":"Help documentation"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes_ES.wiki","type":"Github"},{"url":"http://www.gbif.org/disclaimer/datasharing","type":"Help documentation"},{"url":"http://ipt.biodiversidad.co/sib/rss.do","type":"Blog/News"},{"url":"https://twitter.com/sibcolombia","type":"Twitter"},{"url":"https://sites.google.com/humboldt.org.co/wikisib/inicio","type":"Wikipedia"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://www.gbif.org/ipt","name":"Integrated Publishing Toolkit (IPT) 2.3.3"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000856","bsg-d000856"],"name":"FAIRsharing record for: SiB Colombia IPT - GBIF Colombia Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.t80940","doi":"10.25504/FAIRsharing.t80940","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Colombian Biodiversity Information System (SiB Colombia) maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. SiB Colombia supports researchers in Colombia by providing them helpdesk assistance and by hosting their data for free in this repository.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11646}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Colombia"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":250,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":382,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1031,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1024,"relation":"undefined"}],"grants":[{"id":2405,"fairsharing_record_id":2377,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:25:42.662Z","updated_at":"2021-09-30T09:25:42.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2406,"fairsharing_record_id":2377,"organisation_id":2564,"relation":"maintains","created_at":"2021-09-30T09:25:42.692Z","updated_at":"2021-09-30T09:25:42.692Z","grant_id":null,"is_lead":false,"saved_state":{"id":2564,"name":"SiB Colombia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2407,"fairsharing_record_id":2377,"organisation_id":1452,"relation":"funds","created_at":"2021-09-30T09:25:42.734Z","updated_at":"2021-09-30T09:25:42.734Z","grant_id":null,"is_lead":false,"saved_state":{"id":1452,"name":"Instituto Humboldt (IAvH), Bogota, Colombia","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2386","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T14:17:34.000Z","updated_at":"2023-12-15T10:32:15.841Z","metadata":{"doi":"10.25504/FAIRsharing.923a0p","name":"Ensembl Genomes","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@ensembl.org"}],"homepage":"https://ensemblgenomes.org/","citations":[{"doi":"10.1093/nar/gkz890","pubmed_id":31598706,"publication_id":1081}],"identifier":2386,"description":"The Ensembl genome annotation system, developed jointly by EMBL-EBI and the Wellcome Trust Sanger Institute, has been used for the annotation, analysis and display of vertebrate genomes since 2000. Since 2009, the Ensembl site has been complemented by the creation of five new sites, for bacteria, protists, fungi, plants and invertebrate metazoa, enabling users to use a single collection of (interactive and programatic) interfaces for accessing and comparing genome-scale data from species of scientific interest from across the taxonomy.","abbreviation":"Ensembl Genomes","data_curation":{"url":"https://rapid.ensembl.org/info/genome/genebuild/index.html","type":"automated"},"support_links":[{"url":"https://www.ensembl.info/","name":"Ensembl Blog","type":"Blog/News"},{"url":"helpdesk@ensemblgenomes.org","name":"Ensembl Genomes Helpdesk","type":"Support email"},{"url":"https://twitter.com/ensemblgenomes","name":"@ensemblgenomes","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011197","name":"re3data:r3d100011197","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006773","name":"SciCrunch:RRID:SCR_006773","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000866","bsg-d000866"],"name":"FAIRsharing record for: Ensembl Genomes","abbreviation":"Ensembl Genomes","url":"https://fairsharing.org/10.25504/FAIRsharing.923a0p","doi":"10.25504/FAIRsharing.923a0p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ensembl genome annotation system, developed jointly by EMBL-EBI and the Wellcome Trust Sanger Institute, has been used for the annotation, analysis and display of vertebrate genomes since 2000. Since 2009, the Ensembl site has been complemented by the creation of five new sites, for bacteria, protists, fungi, plants and invertebrate metazoa, enabling users to use a single collection of (interactive and programatic) interfaces for accessing and comparing genome-scale data from species of scientific interest from across the taxonomy.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11394},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11850},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12769}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Comparative Genomics"],"domains":["DNA sequence data","Genome annotation","Genome alignment","Genome visualization","Genome"],"taxonomies":["Bacteria","Eukaryota","Fungi","Plantae","Vertebrata"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1081,"pubmed_id":31598706,"title":"Ensembl Genomes 2020-enabling non-vertebrate genomic research.","year":2019,"url":"http://doi.org/10.1093/nar/gkz890","authors":"Howe KL et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz890","created_at":"2021-09-30T08:24:19.787Z","updated_at":"2021-09-30T11:28:56.442Z"},{"id":1657,"pubmed_id":26578574,"title":"Ensembl Genomes 2016: more genomes, more complexity.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1209","authors":"Kersey PJ et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1209","created_at":"2021-09-30T08:25:25.609Z","updated_at":"2021-09-30T11:29:17.737Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1400,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1392,"relation":"undefined"}],"grants":[{"id":8023,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:27.811Z","updated_at":"2021-09-30T09:30:27.857Z","grant_id":723,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"222886-2 / Microme","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2439,"fairsharing_record_id":2386,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:43.860Z","updated_at":"2021-09-30T09:25:43.860Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2441,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:43.931Z","updated_at":"2021-09-30T09:29:14.317Z","grant_id":153,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/H531519/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2438,"fairsharing_record_id":2386,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:25:43.817Z","updated_at":"2021-09-30T09:29:34.377Z","grant_id":306,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"OPPGD1491","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2440,"fairsharing_record_id":2386,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:43.898Z","updated_at":"2021-09-30T09:29:42.038Z","grant_id":364,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"41686 IPGA Gramene","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2442,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:43.966Z","updated_at":"2021-09-30T09:30:13.598Z","grant_id":608,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"228421 / INFRAVEC","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2443,"fairsharing_record_id":2386,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:25:43.998Z","updated_at":"2021-09-30T09:30:35.639Z","grant_id":780,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"090548/B/09/Z","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7872,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:15.474Z","updated_at":"2021-09-30T09:29:15.515Z","grant_id":162,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/F19793/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7919,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:47.592Z","updated_at":"2021-09-30T09:29:47.647Z","grant_id":406,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I008071/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8192,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:31:25.732Z","updated_at":"2021-09-30T09:31:25.829Z","grant_id":1165,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"42660 / AllBio","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8250,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:44.715Z","updated_at":"2021-09-30T09:31:44.795Z","grant_id":1308,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/KK020102/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8256,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:46.773Z","updated_at":"2021-09-30T09:31:46.828Z","grant_id":1322,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M018458/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8262,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:31:48.682Z","updated_at":"2021-09-30T09:31:48.737Z","grant_id":1337,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"284496 / transPLANT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8274,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:52.066Z","updated_at":"2021-09-30T09:31:52.121Z","grant_id":1363,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/J00328X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8448,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:40.977Z","updated_at":"2021-09-30T09:32:41.032Z","grant_id":1731,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/J017299/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2380","type":"fairsharing_records","attributes":{"created_at":"2017-01-25T09:22:52.000Z","updated_at":"2023-06-23T15:27:08.866Z","metadata":{"doi":"10.25504/FAIRsharing.k4yzh","name":"BCCM/GeneCorner Plasmid Collection","status":"ready","contacts":[{"contact_name":"BCCM/GeneCorner","contact_email":"bccm.genecorner@UGent.be"}],"homepage":"http://www.genecorner.ugent.be/","identifier":2380,"description":"The BCCM/GeneCorner Plasmid Collection warrants the long-term storage and distribution of plasmids, microbial host strains and DNA libraries of fundamental, biotechnological, educational or general scientific importance. The focus is on the collection of recombinant plasmids that can replicate in a microbial host strain. BCCM/GeneCorner also accepts natural and genetically modified animal or human cell lines, including hybridomas, as well as other genetic material, in the safe deposit and patent deposit collections.","abbreviation":"BCCM/GeneCorner","data_curation":{"type":"none"},"year_creation":1977,"data_versioning":"no","associated_tools":[{"url":"http://www.genecorner.ugent.be/sms.html","name":"Sequence Manipulation Suite"},{"url":"http://www.genomecompiler.com/","name":"Genome Compiler"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013667","name":"re3data:r3d100013667","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007193","name":"SciCrunch:RRID:SCR_007193","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.genecorner.ugent.be/Public_Deposit","type":"open","notes":"Plasmids, microbial host strains and DNA libraries can be deposited."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000859","bsg-d000859"],"name":"FAIRsharing record for: BCCM/GeneCorner Plasmid Collection","abbreviation":"BCCM/GeneCorner","url":"https://fairsharing.org/10.25504/FAIRsharing.k4yzh","doi":"10.25504/FAIRsharing.k4yzh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BCCM/GeneCorner Plasmid Collection warrants the long-term storage and distribution of plasmids, microbial host strains and DNA libraries of fundamental, biotechnological, educational or general scientific importance. The focus is on the collection of recombinant plasmids that can replicate in a microbial host strain. BCCM/GeneCorner also accepts natural and genetically modified animal or human cell lines, including hybridomas, as well as other genetic material, in the safe deposit and patent deposit collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Cell line","Hybridoma","Plasmid","Host"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1986,"pubmed_id":27177818,"title":"Generation of a new Gateway-compatible inducible lentiviral vector platform allowing easy derivation of co-transduced cells.","year":2016,"url":"http://doi.org/10.2144/000114417","authors":"De Groote P,Grootjans S,Lippens S,Eichperger C,Leurs K,Kahr I,Tanghe G,Bruggeman I,De Schamphelaire W,Urwyler C,Vandenabeele P,Haustraete J,Declercq W","journal":"Biotechniques","doi":"10.2144/000114417","created_at":"2021-09-30T08:26:03.549Z","updated_at":"2021-09-30T08:26:03.549Z"},{"id":2730,"pubmed_id":25882545,"title":"Role of the Bacterial Type VI Secretion System in the Modulation of Mammalian Host Cell Immunity.","year":2015,"url":"http://doi.org/10.2174/0929867322666150417123744","authors":"De Ceuleneer M,Vanhoucke M,Beyaert R","journal":"Curr Med Chem","doi":"10.2174/0929867322666150417123744","created_at":"2021-09-30T08:27:35.297Z","updated_at":"2021-09-30T08:27:35.297Z"}],"licence_links":[{"licence_name":"BCCM Material Accession Agreement (MAA) F475A","licence_id":61,"licence_url":"http://bccm.belspo.be/services/maa","link_id":209,"relation":"undefined"},{"licence_name":"BCCM Material Transfer Agreement (MTA) 1.4","licence_id":62,"licence_url":"http://bccm.belspo.be/services/mta","link_id":211,"relation":"undefined"}],"grants":[{"id":2417,"fairsharing_record_id":2380,"organisation_id":3183,"relation":"maintains","created_at":"2021-09-30T09:25:43.135Z","updated_at":"2021-09-30T09:25:43.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":3183,"name":"VIB, Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2416,"fairsharing_record_id":2380,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:43.098Z","updated_at":"2021-09-30T09:25:43.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2418,"fairsharing_record_id":2380,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:25:43.176Z","updated_at":"2021-09-30T09:25:43.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2387","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T14:42:38.000Z","updated_at":"2023-06-23T09:38:12.148Z","metadata":{"doi":"10.25504/FAIRsharing.bcdtjc","name":"Enzyme Portal","status":"ready","contacts":[{"contact_name":"General EBI Support","contact_email":"support@ebi.ac.uk","contact_orcid":null}],"homepage":"http://www.ebi.ac.uk/enzymeportal/","citations":[],"identifier":2387,"description":"The Enzyme Portal is for those interested in the biology of enzymes and proteins with enzymatic activity. It integrates publicly available information about enzymes, such as small-molecule chemistry, biochemical pathways and drug compounds. It contains enzyme-related information from resources developed at the EBI, and presents it via a unified user experience. The Enzyme Portal team does not curate enzyme information and therefore is a secondary information resource or portal.","abbreviation":"Enzyme Portal","data_curation":{"url":"https://doi.org/10.1093/protein/gzx008","type":"automated"},"support_links":[{"url":"https://www.ebi.ac.uk/support/index.php?query=Enzyme+portal","name":"Feedback Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/enzymeportal/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/uniprot/enzymeportal","name":"GitHub Project \u0026 Docs","type":"Github"},{"url":"https://www.ebi.ac.uk/enzymeportal/about","name":"About","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/enzyme-portal-quick-tour","name":"Enzyme Portal: Quick tour","type":"TeSS links to training materials"},{"url":"https://twitter.com/enzymeportal","name":"@enzymeportal","type":"Twitter"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/thornton-srv/transform-miner/","name":"Transform-MinER"},{"url":"https://www.ebi.ac.uk/Tools/services/web/toolform.ebi?tool=ncbiblast\u0026database=enzymeportal","name":"NCBI BLAST+"},{"url":"https://www.ebi.ac.uk/enzymeportal/basket","name":"Compare Enzymes"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/licencing","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/enzymeportal/about","type":"controlled","notes":"Data sourced from other repositories"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000867","bsg-d000867"],"name":"FAIRsharing record for: Enzyme Portal","abbreviation":"Enzyme Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.bcdtjc","doi":"10.25504/FAIRsharing.bcdtjc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Enzyme Portal is for those interested in the biology of enzymes and proteins with enzymatic activity. It integrates publicly available information about enzymes, such as small-molecule chemistry, biochemical pathways and drug compounds. It contains enzyme-related information from resources developed at the EBI, and presents it via a unified user experience. The Enzyme Portal team does not curate enzyme information and therefore is a secondary information resource or portal.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11395},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12183}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Enzymology"],"domains":["Drug","Catalytic activity","Small molecule","Enzyme","Disease","Pathway model"],"taxonomies":["Arabidopsis thaliana","Bacillus subtilis","Bos taurus","Caenorhabditis elegans","Danio rerio","Dictyostelium discoideum","Drosophila melanogaster","Escherichia coli","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Oryza sativa L. ssp. japonica","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2053,"pubmed_id":23175605,"title":"The EBI enzyme portal.","year":2012,"url":"http://doi.org/10.1093/nar/gks1112","authors":"Alcantara R,Onwubiko J,Cao H,Matos Pd,Cham JA,Jacobsen J,Holliday GL,Fischer JD,Rahman SA,Jassal B,Goujon M,Rowland F,Velankar S,Lopez R,Overington JP,Kleywegt GJ,Hermjakob H,O'Donovan C,Martin MJ,Thornton JM,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1112","created_at":"2021-09-30T08:26:11.305Z","updated_at":"2021-09-30T11:29:27.427Z"},{"id":3368,"pubmed_id":null,"title":"An update on the Enzyme Portal: an integrative approach for exploring enzyme knowledge","year":2017,"url":"http://dx.doi.org/10.1093/protein/gzx008","authors":"Pundir, S.; Onwubiko, J.; Zaru, R.; Rosanoff, S.; Antunes, R.; Bingley, M.; Watkins, X.; O'Donovan, C.; Martin, M. J.; ","journal":"Protein Engineering, Design and Selection","doi":"10.1093/protein/gzx008","created_at":"2022-05-18T12:24:29.784Z","updated_at":"2022-05-18T12:24:29.784Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":322,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":323,"relation":"undefined"}],"grants":[{"id":9250,"fairsharing_record_id":2387,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.264Z","updated_at":"2022-04-11T12:07:25.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9549,"fairsharing_record_id":2387,"organisation_id":908,"relation":"maintains","created_at":"2022-05-18T12:25:08.228Z","updated_at":"2022-05-18T12:25:08.228Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2427","type":"fairsharing_records","attributes":{"created_at":"2017-04-15T12:11:49.000Z","updated_at":"2022-07-20T12:38:41.992Z","metadata":{"doi":"10.25504/FAIRsharing.ph8fx9","name":"Academic Seismic Portal","status":"deprecated","contacts":[{"contact_name":"Lisa Gahagan","contact_email":"lisa@ig.utexas.edu"}],"homepage":"http://www-udc.ig.utexas.edu/sdc/","identifier":2427,"description":"ASP is an archive of academic active-source seismic data, supported by the National Science Foundation.","abbreviation":"ASP","data_curation":{"type":"not found"},"support_links":[{"url":"http://www-udc.ig.utexas.edu/sdc/how_to_use.htm","type":"Help documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010631","name":"re3data:r3d100010631","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000403","name":"SciCrunch:RRID:SCR_000403","portal":"SciCrunch"}],"deprecation_date":"2021-9-20","deprecation_reason":"On June 1, 2020, the Academic Seismic Portal repositories at UTIG were merged into a single collection hosted at Lamont-Doherty Earth Observatory. Content at this resource was removed July 1, 2020. (see https://ig.utexas.edu/academic-seismic-portal-at-utig/)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000909","bsg-d000909"],"name":"FAIRsharing record for: Academic Seismic Portal","abbreviation":"ASP","url":"https://fairsharing.org/10.25504/FAIRsharing.ph8fx9","doi":"10.25504/FAIRsharing.ph8fx9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ASP is an archive of academic active-source seismic data, supported by the National Science Foundation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geophysics","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"IEDA Terms of Use","licence_id":424,"licence_url":"http://www-udc.ig.utexas.edu/sdc/about/terms_of_use.php","link_id":757,"relation":"undefined"}],"grants":[{"id":7937,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:56.235Z","updated_at":"2021-09-30T09:29:56.289Z","grant_id":477,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCE 0826282","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8104,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:58.755Z","updated_at":"2021-09-30T09:30:58.809Z","grant_id":962,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0095307","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2566,"fairsharing_record_id":2427,"organisation_id":1383,"relation":"maintains","created_at":"2021-09-30T09:25:48.005Z","updated_at":"2021-09-30T09:25:48.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":1383,"name":"Institute for Geophysics, University of Texas at Austin, Austin, TX, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2567,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:48.042Z","updated_at":"2021-09-30T09:29:10.910Z","grant_id":128,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0326821","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8372,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:18.742Z","updated_at":"2021-09-30T09:32:18.788Z","grant_id":1561,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0326679","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2428","type":"fairsharing_records","attributes":{"created_at":"2017-04-17T15:38:22.000Z","updated_at":"2023-12-15T10:32:53.910Z","metadata":{"doi":"10.25504/FAIRsharing.csr989","name":"Met Office Hadley Centre Observations Dataset","status":"ready","contacts":[{"contact_name":"Colin Morice","contact_email":"colin.morice@metoffice.gov.uk"}],"homepage":"http://www.metoffice.gov.uk/hadobs/index.html","identifier":2428,"description":"HadCRUT4 is a gridded dataset of global historical surface temperature anomalies relative to a 1961-1990 reference period. Data are available for each month since January 1850, on a 5 degree grid. The dataset is a collaborative product of the Met Office Hadley Centre and the Climatic Research Unit at the University of East Anglia.","abbreviation":"HadCRUT4","data_curation":{"type":"none"},"support_links":[{"url":"http://www.metoffice.gov.uk/hadobs/hadcrut4/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.metoffice.gov.uk/hadobs/hadcrut4/diagrams.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000910","bsg-d000910"],"name":"FAIRsharing record for: Met Office Hadley Centre Observations Dataset","abbreviation":"HadCRUT4","url":"https://fairsharing.org/10.25504/FAIRsharing.csr989","doi":"10.25504/FAIRsharing.csr989","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HadCRUT4 is a gridded dataset of global historical surface temperature anomalies relative to a 1961-1990 reference period. Data are available for each month since January 1850, on a 5 degree grid. The dataset is a collaborative product of the Met Office Hadley Centre and the Climatic Research Unit at the University of East Anglia.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1509,"pubmed_id":null,"title":"Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 data set","year":2012,"url":"http://doi.org/10.1029/2011JD017187","authors":"Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones","journal":"Journal of Geophysical Research","doi":"10.1029/2011JD017187","created_at":"2021-09-30T08:25:08.936Z","updated_at":"2021-09-30T08:25:08.936Z"}],"licence_links":[{"licence_name":"UK Met Office HadCRUT4: Terms and Conditions","licence_id":808,"licence_url":"http://www.metoffice.gov.uk/hadobs/hadcrut4/terms_and_conditions.html","link_id":993,"relation":"undefined"}],"grants":[{"id":2568,"fairsharing_record_id":2428,"organisation_id":3050,"relation":"maintains","created_at":"2021-09-30T09:25:48.075Z","updated_at":"2021-09-30T09:25:48.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":3050,"name":"University of East Anglia, Climatic Research Unit, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2569,"fairsharing_record_id":2428,"organisation_id":1823,"relation":"maintains","created_at":"2021-09-30T09:25:48.099Z","updated_at":"2021-09-30T09:25:48.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":1823,"name":"Met Office, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2429","type":"fairsharing_records","attributes":{"created_at":"2017-04-17T16:14:44.000Z","updated_at":"2023-12-15T10:31:45.775Z","metadata":{"doi":"10.25504/FAIRsharing.k9vqye","name":"National Snow and Ice Data Center Data Portal","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"nsidc@nsidc.org"}],"homepage":"http://nsidc.org/data/","citations":[],"identifier":2429,"description":"The National Snow and Ice Data Center (NSIDC) contains data on the cryosphere, which includes snow, ice, glaciers, frozen ground, and climate interactions. NSIDC manages and distributes scientific data, creates tools for data access, supports data users, performs scientific research, and educates the public about the cryosphere. Data are from satellites and field observations, and are from NASA, NSF, NOAA, and other programs. All data are available free of charge.","abbreviation":"NSIDC","data_curation":{"url":"https://nsidc.org/data/submit-data/submit-nasa-data-nsidc-daac","type":"manual/automated","notes":"NASA DAACs are discipline-specific repositories providing expert curation of data and metadata."},"support_links":[{"url":"https://nsidc.org/about/contact.html","name":"Contact Information","type":"Contact form"},{"url":"http://nsidc.org/cryosphere/icelights/","name":"General Cryosphere FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://nsidc.org/the-drift/data-update/","name":"Data Announcements","type":"Forum"},{"url":"https://nsidc.org/data/support","name":"Help Center","type":"Help documentation"},{"url":"https://nsidc.org/about/overview","name":"About","type":"Help documentation"}],"year_creation":1982,"data_versioning":"yes","associated_tools":[{"url":"https://nsidc.org/data/tools/analysis-and-imaging","name":"Data Analysis and Imaging Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010110","name":"re3data:r3d100010110","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002220","name":"SciCrunch:RRID:SCR_002220","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://nsidc.org/data/submit-data","type":"controlled","notes":"NASA-funded data can be hosted."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000911","bsg-d000911"],"name":"FAIRsharing record for: National Snow and Ice Data Center Data Portal","abbreviation":"NSIDC","url":"https://fairsharing.org/10.25504/FAIRsharing.k9vqye","doi":"10.25504/FAIRsharing.k9vqye","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Snow and Ice Data Center (NSIDC) contains data on the cryosphere, which includes snow, ice, glaciers, frozen ground, and climate interactions. NSIDC manages and distributes scientific data, creates tools for data access, supports data users, performs scientific research, and educates the public about the cryosphere. Data are from satellites and field observations, and are from NASA, NSF, NOAA, and other programs. All data are available free of charge.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Cryosphere"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1469,"relation":"undefined"},{"licence_name":"NSIDC Data Policies","licence_id":602,"licence_url":"https://nsidc.org/about/policies","link_id":1467,"relation":"undefined"},{"licence_name":"NSIDC Use and Copyright","licence_id":603,"licence_url":"https://nsidc.org/about/use_copyright.html","link_id":1001,"relation":"undefined"}],"grants":[{"id":2572,"fairsharing_record_id":2429,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:48.196Z","updated_at":"2021-09-30T09:25:48.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2570,"fairsharing_record_id":2429,"organisation_id":609,"relation":"maintains","created_at":"2021-09-30T09:25:48.124Z","updated_at":"2021-09-30T09:25:48.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":609,"name":"Cooperative Institute for Research in Environmental Science, University of Colorado Boulder, Boulder, CO, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2571,"fairsharing_record_id":2429,"organisation_id":2056,"relation":"funds","created_at":"2021-09-30T09:25:48.154Z","updated_at":"2021-09-30T09:25:48.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2573,"fairsharing_record_id":2429,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:48.238Z","updated_at":"2021-09-30T09:25:48.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2431","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T09:26:30.000Z","updated_at":"2023-12-15T10:32:22.454Z","metadata":{"doi":"10.25504/FAIRsharing.e7skc6","name":"NASA Data Portal","status":"ready","contacts":[{"contact_name":"Jason Dudley","contact_email":"jason.duley@nasa.gov"}],"homepage":"https://data.nasa.gov","identifier":2431,"description":"NASA's publicly available data sets and resources.","abbreviation":"NASA Data Portal","data_curation":{"type":"none"},"support_links":[{"url":"nasa-data@lists.arc.nasa.gov","type":"Support email"},{"url":"https://twitter.com/NASA","type":"Twitter"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011758","name":"re3data:r3d100011758","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000913","bsg-d000913"],"name":"FAIRsharing record for: NASA Data Portal","abbreviation":"NASA Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.e7skc6","doi":"10.25504/FAIRsharing.e7skc6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NASA's publicly available data sets and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":1109,"relation":"undefined"}],"grants":[{"id":2576,"fairsharing_record_id":2431,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:48.345Z","updated_at":"2021-09-30T09:25:48.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2432","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T09:50:39.000Z","updated_at":"2021-11-24T13:16:37.891Z","metadata":{"doi":"10.25504/FAIRsharing.56399h","name":"NCAR Community Data Portal","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"cdp@ucar.edu"}],"homepage":"http://cdp.ucar.edu","identifier":2432,"description":"The Community Data Portal (CDP) is a collection of earth science datasets from NCAR, UCAR, UOP, and participating organizations.","abbreviation":"CDP","data_curation":{"type":"not found"},"support_links":[{"url":"http://cdp.ucar.edu/support/","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2018-02-27","deprecation_reason":"The Community Data Portal (CDP) has been retired after nearly 15 years of service and is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000914","bsg-d000914"],"name":"FAIRsharing record for: NCAR Community Data Portal","abbreviation":"CDP","url":"https://fairsharing.org/10.25504/FAIRsharing.56399h","doi":"10.25504/FAIRsharing.56399h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Community Data Portal (CDP) is a collection of earth science datasets from NCAR, UCAR, UOP, and participating organizations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UCAR Community Data Portal Privacy Policy","licence_id":795,"licence_url":"http://cdp.ucar.edu/forward.htm?forward=/home/privacy_policy.htm","link_id":995,"relation":"undefined"},{"licence_name":"UCAR Community Data Portal Terms of Use","licence_id":796,"licence_url":"http://cdp.ucar.edu/forward.htm?forward=/home/terms_of_use.htm","link_id":996,"relation":"undefined"}],"grants":[{"id":2578,"fairsharing_record_id":2432,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:48.426Z","updated_at":"2021-09-30T09:25:48.426Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2577,"fairsharing_record_id":2432,"organisation_id":1957,"relation":"maintains","created_at":"2021-09-30T09:25:48.389Z","updated_at":"2021-09-30T09:25:48.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":1957,"name":"National Center for Atmospheric Research (NCAR), Boulder, CO, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2579,"fairsharing_record_id":2432,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:48.459Z","updated_at":"2021-09-30T09:25:48.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2580,"fairsharing_record_id":2432,"organisation_id":574,"relation":"maintains","created_at":"2021-09-30T09:25:48.564Z","updated_at":"2021-09-30T09:25:48.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":574,"name":"Computational and Information Systems Lab (CISL), USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2438","type":"fairsharing_records","attributes":{"created_at":"2017-04-19T11:11:53.000Z","updated_at":"2023-06-23T11:30:01.203Z","metadata":{"doi":"10.25504/FAIRsharing.3nm6zq","name":"UNAVCO Data","status":"ready","contacts":[{"contact_name":"General Information","contact_email":"data@unavco.org"}],"homepage":"https://www.unavco.org/data/data.html","citations":[],"identifier":2438,"description":"UNAVCO provides access to data that the community of geodetic scientists can use for quantifying the motions of rock, ice and water that are monitored by a variety of sensor types at or near the Earth's surface. The data types include GPS/GNSS, imaging data such as from SAR and TLS, strain and seismic borehole data, and meteorological data. Most of these can be accessed via web services. In addition, GPS/GNSS datasets, TLS datasets, and InSAR products are assigned digital object identifiers.","abbreviation":"UNAVCO Data","data_curation":{"url":"https://www.unavco.org/data/data-help/about-data/about-data.html","type":"automated","notes":"Data management and archiving (distribution and curation) is part of the data treatment flow."},"support_links":[{"url":"https://www.unavco.org/news/news-feed/","name":"News","type":"Blog/News"},{"url":"https://www.unavco.org/data/data-help/data-help.html","name":"Data Help","type":"Help documentation"},{"url":"https://www.unavco.org/data/gps-gnss/ftp/ftp.html","name":"FTP Server Layout","type":"Help documentation"},{"url":"https://www.unavco.org/data/data-help/about-data/about-data.html","name":"About","type":"Help documentation"},{"url":"https://twitter.com/UNAVCO","name":"@UNAVCO","type":"Twitter"}],"year_creation":1984,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010872","name":"re3data:r3d100010872","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006706","name":"SciCrunch:RRID:SCR_006706","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.unavco.org/data/data-help/custom-data-request/custom-data-request.html","type":"open","notes":"Some data are only available via special request."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.unavco.org/data/data-help/submission/submission.html","type":"controlled","notes":"Specific timings must be respected for data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000920","bsg-d000920"],"name":"FAIRsharing record for: UNAVCO Data","abbreviation":"UNAVCO Data","url":"https://fairsharing.org/10.25504/FAIRsharing.3nm6zq","doi":"10.25504/FAIRsharing.3nm6zq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UNAVCO provides access to data that the community of geodetic scientists can use for quantifying the motions of rock, ice and water that are monitored by a variety of sensor types at or near the Earth's surface. The data types include GPS/GNSS, imaging data such as from SAR and TLS, strain and seismic borehole data, and meteorological data. Most of these can be accessed via web services. In addition, GPS/GNSS datasets, TLS datasets, and InSAR products are assigned digital object identifiers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Geology","Geodesy","Earth Science"],"domains":["Geographical location","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":["Geological mapping","Global Positioning System","Troposphere"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UNAVCO Data Attribution Policy","licence_id":813,"licence_url":"https://www.unavco.org/community/policies_forms/attribution/attribution.html","link_id":1983,"relation":"undefined"},{"licence_name":"UNAVCO Data Policy","licence_id":814,"licence_url":"http://www.unavco.org/community/policies_forms/data-policy/data-policy.html","link_id":1982,"relation":"undefined"}],"grants":[{"id":2597,"fairsharing_record_id":2438,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.221Z","updated_at":"2021-09-30T09:25:49.221Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2596,"fairsharing_record_id":2438,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:49.181Z","updated_at":"2021-09-30T09:25:49.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2598,"fairsharing_record_id":2438,"organisation_id":2910,"relation":"maintains","created_at":"2021-09-30T09:25:49.259Z","updated_at":"2021-09-30T09:25:49.259Z","grant_id":null,"is_lead":true,"saved_state":{"id":2910,"name":"UNAVCO","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2439","type":"fairsharing_records","attributes":{"created_at":"2017-04-19T15:45:15.000Z","updated_at":"2024-03-20T13:12:27.327Z","metadata":{"doi":"10.25504/FAIRsharing.srgkaf","name":"Hardwood Genomics Project","status":"deprecated","contacts":[],"homepage":"http://www.hardwoodgenomics.org/","citations":[],"identifier":2439,"description":"The Hardwood Genomics Project is a databases for expressed genes, genetic markers, genetic linkage maps, and reference populations. It provides lasting genomic and biological resources for the discovery and conservation of genes in hardwood trees for growth, adaptation and responses to environmental stresses such as drought, heat, insect pests and disease. All original sequence data is being deposited in NCBI's Sequence Read Archive and the genetic linkage maps and associated marker data will be available at the Dendrome database.","abbreviation":"HWG","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hardwoodgenomics.org/contact","type":"Contact form"},{"url":"http://www.hardwoodgenomics.org/content/about","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","associated_tools":[{"url":"http://www.hardwoodgenomics.org/content/expression-visualization","name":"Expression Visualization"},{"url":"http://www.hardwoodgenomics.org/blast","name":"BLAST Search"},{"url":"http://www.hardwoodgenomics.org/wa2app/jbrowse/index.html?organism=19","name":"JBrowse - Chinese Chesnut"},{"url":"http://www.hardwoodgenomics.org/wa2app/jbrowse/index.html?organism=231202","name":"JBrowse - English Walnut"},{"url":"http://www.hardwoodgenomics.org/elastic_search","name":"Transcript Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012351","name":"re3data:r3d100012351","portal":"re3data"}],"deprecation_date":"2024-03-20","deprecation_reason":"This resource's functionality has been moved to TreeGenes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000921","bsg-d000921"],"name":"FAIRsharing record for: Hardwood Genomics Project","abbreviation":"HWG","url":"https://fairsharing.org/10.25504/FAIRsharing.srgkaf","doi":"10.25504/FAIRsharing.srgkaf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hardwood Genomics Project is a databases for expressed genes, genetic markers, genetic linkage maps, and reference populations. It provides lasting genomic and biological resources for the discovery and conservation of genes in hardwood trees for growth, adaptation and responses to environmental stresses such as drought, heat, insect pests and disease. All original sequence data is being deposited in NCBI's Sequence Read Archive and the genetic linkage maps and associated marker data will be available at the Dendrome database.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11500},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11623}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Genetic map","Genome map","Expression data","Nucleic acid sequence"],"taxonomies":["Acer saccharum","Alnus rhombifolia","Alnus rubra","Castanea crenata","Castanea dentata","Castanea mollissima","Castanea sativa","Cornus florida","Fagus grandifolia","Fraxinus americana","Fraxinus pennsylvanica","Gleditsia triacanthos","Hydrangea macrophylla","Juglans nigra","Juglans regia","Liquidambar styraciflua","Liriodendron tulipifera","Nyssa sylvatica","Persea borbonia","Prunus serotina","Quercus alba","Quercus robur","Quercus rubra"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8393,"fairsharing_record_id":2439,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:26.227Z","updated_at":"2021-09-30T09:32:26.281Z","grant_id":1619,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1444573","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2599,"fairsharing_record_id":2439,"organisation_id":3136,"relation":"maintains","created_at":"2021-09-30T09:25:49.296Z","updated_at":"2021-09-30T09:25:49.296Z","grant_id":null,"is_lead":false,"saved_state":{"id":3136,"name":"University of Tennessee, Knoxville Department of Entomology and Plant Pathology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2600,"fairsharing_record_id":2439,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.325Z","updated_at":"2021-09-30T09:29:58.466Z","grant_id":494,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1443040","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8231,"fairsharing_record_id":2439,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:39.207Z","updated_at":"2021-09-30T09:31:39.261Z","grant_id":1268,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1025974","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2435","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T19:44:24.000Z","updated_at":"2023-06-23T15:38:03.792Z","metadata":{"doi":"10.25504/FAIRsharing.a833sq","name":"Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"uso@daac.ornl.gov"}],"homepage":"https://daac.ornl.gov","citations":[],"identifier":2435,"description":"The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) mission is to assemble, distribute, and provide data services for a comprehensive archive of terrestrial biogeochemistry and ecological dynamics observations and models to facilitate research, education, and decision-making in support of NASA’s Earth science. The ORNL DAAC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","abbreviation":"ORNL DAAC for Biogeochemical Dynamics","data_curation":{"type":"not found"},"support_links":[{"url":"https://daac-news.ornl.gov/","name":"News","type":"Blog/News"},{"url":"https://daac.ornl.gov/help.shtml","name":"ORNL DAAC Help","type":"Help documentation"},{"url":"https://daac.ornl.gov/datamanagement/","name":"Data Management Guidance","type":"Help documentation"},{"url":"https://daac.ornl.gov/resources/learning/","name":"Learning Resources","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"https://daac.ornl.gov/tools/","name":"List of related tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100000037","name":"re3data:r3d100000037","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://daac.ornl.gov/submit/","type":"controlled","notes":"The data producer must submit an online form to request the acceptance of data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000917","bsg-d000917"],"name":"FAIRsharing record for: Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics","abbreviation":"ORNL DAAC for Biogeochemical Dynamics","url":"https://fairsharing.org/10.25504/FAIRsharing.a833sq","doi":"10.25504/FAIRsharing.a833sq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) mission is to assemble, distribute, and provide data services for a comprehensive archive of terrestrial biogeochemistry and ecological dynamics observations and models to facilitate research, education, and decision-making in support of NASA’s Earth science. The ORNL DAAC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Soil Science","Environmental Science","Forest Management","Ecology","Natural Science","Earth Science","Hydrology"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Cryosphere","Fire Research","Satellite Data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":2175,"relation":"undefined"},{"licence_name":"NIF - SciCrunch Privacy Policy","licence_id":580,"licence_url":"https://neuinfo.org/page/privacy","link_id":2174,"relation":"undefined"}],"grants":[{"id":2589,"fairsharing_record_id":2435,"organisation_id":808,"relation":"maintains","created_at":"2021-09-30T09:25:48.868Z","updated_at":"2021-09-30T09:25:48.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":808,"name":"Earth Science Data and Information System Project (ESDIS), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2587,"fairsharing_record_id":2435,"organisation_id":809,"relation":"maintains","created_at":"2021-09-30T09:25:48.788Z","updated_at":"2021-09-30T09:25:48.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":809,"name":"Earth Science Data Systems (ESDS) Program, Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2588,"fairsharing_record_id":2435,"organisation_id":806,"relation":"maintains","created_at":"2021-09-30T09:25:48.830Z","updated_at":"2021-09-30T09:25:48.830Z","grant_id":null,"is_lead":false,"saved_state":{"id":806,"name":"Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2590,"fairsharing_record_id":2435,"organisation_id":2204,"relation":"maintains","created_at":"2021-09-30T09:25:48.901Z","updated_at":"2021-09-30T09:25:48.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":2204,"name":"Oak Ridge National Laboratory, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2437","type":"fairsharing_records","attributes":{"created_at":"2017-04-19T10:20:30.000Z","updated_at":"2023-12-15T10:30:51.650Z","metadata":{"doi":"10.25504/FAIRsharing.88wme4","name":"OpenTopography","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@opentopography.org"}],"homepage":"https://www.opentopography.org","citations":[],"identifier":2437,"description":"The National Science Foundation funded OpenTopography facilitates community access to high-resolution, Earth science-oriented, topography data, and related tools and resources.","abbreviation":"OpenTopography","data_curation":{"url":"https://opentopography.org/data/contribute","type":"manual"},"support_links":[{"url":"http://www.opentopography.org/blog","type":"Blog/News"},{"url":"https://www.opentopography.org/contact","name":"Contact","type":"Contact form"},{"url":"http://www.opentopography.org/faq-page","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.opentopography.org/start","name":"Getting Started","type":"Help documentation"},{"url":"https://www.opentopography.org/learn/onlinetraining","name":"Online Training","type":"Training documentation"},{"url":"https://twitter.com/OpenTopography","name":"Twitter","type":"Twitter"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://opentopography.org/otsoftware","name":"OpenTopography Open Source Software"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010655","name":"re3data:r3d100010655","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002204","name":"SciCrunch:RRID:SCR_002204","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://opentopography.org/data/contribute","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000919","bsg-d000919"],"name":"FAIRsharing record for: OpenTopography","abbreviation":"OpenTopography","url":"https://fairsharing.org/10.25504/FAIRsharing.88wme4","doi":"10.25504/FAIRsharing.88wme4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Science Foundation funded OpenTopography facilitates community access to high-resolution, Earth science-oriented, topography data, and related tools and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Bathymetry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Bathymetry","lidar","Structure From Motion","Topography"],"countries":["United States"],"publications":[{"id":3070,"pubmed_id":null,"title":"Zero to a trillion: Advancing Earth surface process studies with open access to high-resolution topography","year":2020,"url":"https://doi.org/10.1016/B978-0-444-64177-9.00011-4","authors":"Christopher J. Crosby, J. Ramón Arrowsmith, Viswanath Nandigam","journal":"Developments in Earth Surface Processes","doi":null,"created_at":"2021-09-30T08:28:18.317Z","updated_at":"2021-09-30T08:28:18.317Z"}],"licence_links":[{"licence_name":"Open Topography Privacy Policy","licence_id":634,"licence_url":"http://www.opentopography.org/privacypolicy","link_id":2177,"relation":"undefined"},{"licence_name":"Open Topography Terms of Use","licence_id":635,"licence_url":"http://www.opentopography.org/usageterms","link_id":2178,"relation":"undefined"}],"grants":[{"id":2594,"fairsharing_record_id":2437,"organisation_id":2910,"relation":"maintains","created_at":"2021-09-30T09:25:49.097Z","updated_at":"2021-09-30T09:25:49.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":2910,"name":"UNAVCO","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8014,"fairsharing_record_id":2437,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:23.627Z","updated_at":"2021-09-30T09:30:23.679Z","grant_id":692,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948997","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2592,"fairsharing_record_id":2437,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:25:48.976Z","updated_at":"2021-09-30T09:25:48.976Z","grant_id":null,"is_lead":true,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2595,"fairsharing_record_id":2437,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:25:49.139Z","updated_at":"2021-09-30T09:25:49.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2593,"fairsharing_record_id":2437,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.009Z","updated_at":"2021-09-30T09:28:57.694Z","grant_id":32,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948857","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7979,"fairsharing_record_id":2437,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:13.783Z","updated_at":"2021-09-30T09:30:13.826Z","grant_id":610,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948994","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2417","type":"fairsharing_records","attributes":{"created_at":"2017-04-07T19:50:47.000Z","updated_at":"2023-12-15T10:31:08.982Z","metadata":{"doi":"10.25504/FAIRsharing.xj7m8y","name":"Natural Environmental Research Council Data Catalogue Service","status":"ready","contacts":[{"contact_name":"NERC Environmental Data Service","contact_email":"data@nerc.ukri.org","contact_orcid":null}],"homepage":"https://data-search.nerc.ac.uk/geonetwork/srv/ger/catalog.search#/home","citations":[],"identifier":2417,"description":"A compendium of the United Kingdom's largest repository of Environmental and Earth Science data.","abbreviation":"NERC Data Catalogue Service","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NERCscience","name":"@NERCscience","type":"Twitter"},{"url":"data@nerc.ukri.org.uk","name":"NERC Environmental Data Service Help Desk","type":"Support email"},{"url":"https://eds.ukri.org/services/support","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010558","name":"re3data:r3d100010558","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000899","bsg-d000899"],"name":"FAIRsharing record for: Natural Environmental Research Council Data Catalogue Service","abbreviation":"NERC Data Catalogue Service","url":"https://fairsharing.org/10.25504/FAIRsharing.xj7m8y","doi":"10.25504/FAIRsharing.xj7m8y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A compendium of the United Kingdom's largest repository of Environmental and Earth Science data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Meteorology","Earth Science","Atmospheric Science","Oceanography","Hydrology"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Cryosphere"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"NERC Terms and Conditions","licence_id":571,"licence_url":"http://www.nerc.ac.uk/site/terms/","link_id":1502,"relation":"undefined"}],"grants":[{"id":2542,"fairsharing_record_id":2417,"organisation_id":462,"relation":"maintains","created_at":"2021-09-30T09:25:47.158Z","updated_at":"2022-04-26T10:50:16.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":462,"name":"Centre for Environmental Data Analysis (CEDA)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2541,"fairsharing_record_id":2417,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:47.121Z","updated_at":"2021-09-30T09:25:47.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9267,"fairsharing_record_id":2417,"organisation_id":2902,"relation":"funds","created_at":"2022-04-11T12:07:26.591Z","updated_at":"2022-04-11T12:07:26.591Z","grant_id":null,"is_lead":false,"saved_state":{"id":2902,"name":"UK Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9460,"fairsharing_record_id":2417,"organisation_id":3488,"relation":"maintains","created_at":"2022-04-26T10:50:16.623Z","updated_at":"2022-04-26T10:50:16.623Z","grant_id":null,"is_lead":true,"saved_state":{"id":3488,"name":"NERC Environmental Data Service","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYTA9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e37a69468ae36c5bb3afe91b8281d797fa88fa1a/eds_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2418","type":"fairsharing_records","attributes":{"created_at":"2017-04-12T20:03:25.000Z","updated_at":"2023-12-15T10:32:23.485Z","metadata":{"doi":"10.25504/FAIRsharing.6cdn9x","name":"Earthref.org","status":"ready","contacts":[{"contact_name":"Hubert Staudigel","contact_email":"hstaudigel@ucsd.edu"}],"homepage":"https://earthref.org","identifier":2418,"description":"Earthref.org is a compilation of of databases, networks and repositories for data and models on Earth science. This internet resource supports the quantitative understanding of the Earth as a chemical, physical and biological system.","abbreviation":"Earthref.org","data_curation":{"url":"https://www2.earthref.org/MagIC/contact","type":"manual"},"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www2.earthref.org/MagIC/upload","type":"open","notes":"Data can be uploaded from a private workplace."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000900","bsg-d000900"],"name":"FAIRsharing record for: Earthref.org","abbreviation":"Earthref.org","url":"https://fairsharing.org/10.25504/FAIRsharing.6cdn9x","doi":"10.25504/FAIRsharing.6cdn9x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Earthref.org is a compilation of of databases, networks and repositories for data and models on Earth science. This internet resource supports the quantitative understanding of the Earth as a chemical, physical and biological system.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":384,"relation":"undefined"}],"grants":[{"id":2543,"fairsharing_record_id":2418,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.196Z","updated_at":"2021-09-30T09:32:25.987Z","grant_id":1617,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR 0000998","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2544,"fairsharing_record_id":2418,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:25:47.234Z","updated_at":"2021-09-30T09:25:47.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2545,"fairsharing_record_id":2418,"organisation_id":2530,"relation":"maintains","created_at":"2021-09-30T09:25:47.271Z","updated_at":"2021-09-30T09:25:47.271Z","grant_id":null,"is_lead":false,"saved_state":{"id":2530,"name":"Scripps Institution of Oceanography, University of California San Diego, US","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2546,"fairsharing_record_id":2418,"organisation_id":555,"relation":"maintains","created_at":"2021-09-30T09:25:47.310Z","updated_at":"2021-09-30T09:25:47.310Z","grant_id":null,"is_lead":false,"saved_state":{"id":555,"name":"College of Earth, Ocean and Atmospheric Science, Oregon State University, Corvallis, OR, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2419","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T12:03:41.000Z","updated_at":"2022-12-23T14:15:28.402Z","metadata":{"doi":"10.25504/FAIRsharing.j1eyq2","name":"mentha","status":"deprecated","contacts":[{"contact_name":"Alberto Calderone","contact_email":"sinnefa@gmail.com"}],"homepage":"http://mentha.uniroma2.it/","citations":[],"identifier":2419,"description":"mentha archives evidence collected from different sources and presents these data in a complete and comprehensive way. Its data comes from manually curated protein-protein interaction databases that have adhered to the IMEx consortium. The aggregated data forms an interactome which includes many organisms. mentha is a resource that offers a series of tools to analyse selected proteins in the context of a network of interactions.","abbreviation":"mentha","data_curation":{},"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://mentha.uniroma2.it/beta-tools/index.php","name":"mentha tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011124","name":"re3data:r3d100011124","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_016148","name":"SciCrunch:RRID:SCR_016148","portal":"SciCrunch"}],"deprecation_date":"2022-12-23","deprecation_reason":"Homepage message : Mentha is temporarily undergoing maintenance. Data might not be up to date. Please visit MINT or our new database Signor","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000901","bsg-d000901"],"name":"FAIRsharing record for: mentha","abbreviation":"mentha","url":"https://fairsharing.org/10.25504/FAIRsharing.j1eyq2","doi":"10.25504/FAIRsharing.j1eyq2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mentha archives evidence collected from different sources and presents these data in a complete and comprehensive way. Its data comes from manually curated protein-protein interaction databases that have adhered to the IMEx consortium. The aggregated data forms an interactome which includes many organisms. mentha is a resource that offers a series of tools to analyse selected proteins in the context of a network of interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Proteomics"],"domains":["Protein domain","Protein interaction","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1507,"pubmed_id":23900247,"title":"mentha: a resource for browsing integrated protein-interaction networks.","year":2013,"url":"http://doi.org/10.1038/nmeth.2561","authors":"Calderone A, Castagnoli L, Cesareni G.","journal":"Nat Methods","doi":"10.1038/nmeth.2561","created_at":"2021-09-30T08:25:08.703Z","updated_at":"2021-09-30T08:25:08.703Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2443","type":"fairsharing_records","attributes":{"created_at":"2017-04-21T11:16:10.000Z","updated_at":"2023-12-15T10:31:19.821Z","metadata":{"doi":"10.25504/FAIRsharing.86302v","name":"British Geological Survey GeoScenic","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"enquiries@bgs.ac.uk"}],"homepage":"http://geoscenic.bgs.ac.uk/asset-bank/action/viewHome","citations":[],"identifier":2443,"description":"A national archive of geological photographs freely available to the public.","abbreviation":"BGS GeoScenic","data_curation":{"type":"none"},"support_links":[{"url":"https://support.assetbank.co.uk/hc/en-gb","name":"Support","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010410","name":"re3data:r3d100010410","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000925","bsg-d000925"],"name":"FAIRsharing record for: British Geological Survey GeoScenic","abbreviation":"BGS GeoScenic","url":"https://fairsharing.org/10.25504/FAIRsharing.86302v","doi":"10.25504/FAIRsharing.86302v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A national archive of geological photographs freely available to the public.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BGS Privacy Policy","licence_id":72,"licence_url":"http://www.bgs.ac.uk/help/privacy.html","link_id":1401,"relation":"undefined"},{"licence_name":"Geoscenic Terms and Conditions","licence_id":338,"licence_url":"http://geoscenic.bgs.ac.uk/asset-bank/action/viewConditions","link_id":1416,"relation":"undefined"}],"grants":[{"id":2606,"fairsharing_record_id":2443,"organisation_id":315,"relation":"maintains","created_at":"2021-09-30T09:25:49.514Z","updated_at":"2021-09-30T09:25:49.514Z","grant_id":null,"is_lead":false,"saved_state":{"id":315,"name":"British Geological Survey","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2444","type":"fairsharing_records","attributes":{"created_at":"2017-04-21T11:50:46.000Z","updated_at":"2022-07-20T12:36:14.418Z","metadata":{"doi":"10.25504/FAIRsharing.eacagy","name":"NERC British Atmospheric Data Centre Data Archive","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"support@ceda.ac.uk"}],"homepage":"https://badc.nerc.ac.uk/home/index.html","identifier":2444,"description":"The British Atmospheric Data Centre (BADC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Atmospheric Sciences. The role of the BADC is to assist UK atmospheric researchers to locate, access and interpret atmospheric data and to ensure the long-term integrity of atmospheric data produced by NERC projects.","abbreviation":"BADC","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2019-06-12","deprecation_reason":"Since November 2016, the functions of the British Atmospheric Data Centre (BADC) and the NERC Earth Observation Data Centre (NEODC) data centres are operated by the CEDA Archive (http://www.ceda.ac.uk/data-centres/).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000926","bsg-d000926"],"name":"FAIRsharing record for: NERC British Atmospheric Data Centre Data Archive","abbreviation":"BADC","url":"https://fairsharing.org/10.25504/FAIRsharing.eacagy","doi":"10.25504/FAIRsharing.eacagy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The British Atmospheric Data Centre (BADC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Atmospheric Sciences. The role of the BADC is to assist UK atmospheric researchers to locate, access and interpret atmospheric data and to ensure the long-term integrity of atmospheric data produced by NERC projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":2607,"fairsharing_record_id":2444,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:49.555Z","updated_at":"2021-09-30T09:25:49.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2608,"fairsharing_record_id":2444,"organisation_id":2519,"relation":"maintains","created_at":"2021-09-30T09:25:49.594Z","updated_at":"2021-09-30T09:25:49.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2421","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T17:13:33.000Z","updated_at":"2023-12-15T10:31:10.940Z","metadata":{"doi":"10.25504/FAIRsharing.yfk79s","name":"Fluxdata","status":"ready","contacts":[{"contact_name":"General Support","contact_email":"fluxdata-support@fluxdata.org"}],"homepage":"https://fluxnet.org/","citations":[],"identifier":2421,"description":"A data portal for the Fluxnet community across the globe which supports the access to and sharing of data on the eddy covariance flux measurements of carbon, water vapor and energy exchange.","abbreviation":"Fluxdata","data_curation":{"type":"none"},"support_links":[{"url":"http://fluxnet.fluxdata.org/community/blog/","type":"Blog/News"}],"year_creation":1997,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011506","name":"re3data:r3d100011506","portal":"re3data"}],"data_access_condition":{"url":"https://fluxnet.org/login/?redirect_to=/data/download-data/","type":"open","notes":"Registration required"},"data_contact_information":"not found","data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000903","bsg-d000903"],"name":"FAIRsharing record for: Fluxdata","abbreviation":"Fluxdata","url":"https://fairsharing.org/10.25504/FAIRsharing.yfk79s","doi":"10.25504/FAIRsharing.yfk79s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A data portal for the Fluxnet community across the globe which supports the access to and sharing of data on the eddy covariance flux measurements of carbon, water vapor and energy exchange.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","Brazil","Canada","China","United States","European Union"],"publications":[{"id":1520,"pubmed_id":28066093,"title":"On the energy balance closure and net radiation in complex terrain.","year":2017,"url":"http://doi.org/10.1016/j.agrformet.2016.05.012","authors":"Wohlfahrt G,Hammerle A,Niedrist G,Scholz K,Tomelleri E,Zhao P","journal":"Agric For Meteorol","doi":"10.1016/j.agrformet.2016.05.012","created_at":"2021-09-30T08:25:10.168Z","updated_at":"2021-09-30T08:25:10.168Z"}],"licence_links":[{"licence_name":"FLUXNET2015 Data Policy","licence_id":319,"licence_url":"http://fluxnet.fluxdata.org/data/data-policy/","link_id":975,"relation":"undefined"}],"grants":[{"id":2551,"fairsharing_record_id":2421,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:25:47.477Z","updated_at":"2021-09-30T09:25:47.477Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9407,"fairsharing_record_id":2421,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.285Z","updated_at":"2022-04-11T12:07:36.285Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2423","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T21:29:13.000Z","updated_at":"2024-07-08T11:03:25.551Z","metadata":{"doi":"10.25504/FAIRsharing.be9dj8","name":"Interdisciplinary Earth Data Alliance","status":"deprecated","contacts":[{"contact_name":"Kerstin Lehnert","contact_email":"lehnert@ldeo.columbia.edu","contact_orcid":"0000-0001-7036-1977"}],"homepage":"https://www.iedadata.org/","citations":[],"identifier":2423,"description":"IEDA systems serve as primary community data collections for global geochemistry and marine Geoscience research to support the preservation, discovery, retrieval, and analysis of a wide range of observational field and analytical data types, enabling these data to be discovered and reused by a diverse community now and in the future. IEDA provides free and open access to all data holdings.","abbreviation":"IEDA","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.iedadata.org/news/","name":"News","type":"Blog/News"},{"url":"info@iedadata.org","type":"Support email"},{"url":"https://www.iedadata.org/frequently-asked-questions/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.iedadata.org/help/","type":"Help documentation"},{"url":"https://www.iedadata.org/help/data-management-overview/","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"http://www.geomapapp.org/","name":"GeoMapApp 3.6.10"},{"url":"https://www.gmrt.org/GMRTMapTool/","name":"GMRT MapTool"},{"url":"https://www.iedadata.org/dmp/","name":"Data Management Plan (DMP) Tool"},{"url":"http://app.iedadata.org/dcr/report.php","name":"Data Compliance Reporting Tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010578","name":"re3data:r3d100010578","portal":"re3data"}],"deprecation_date":"2024-07-08","deprecation_reason":"Data is accessible through EarthChem, LEPR/traceDs and SESAR.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000905","bsg-d000905"],"name":"FAIRsharing record for: Interdisciplinary Earth Data Alliance","abbreviation":"IEDA","url":"https://fairsharing.org/10.25504/FAIRsharing.be9dj8","doi":"10.25504/FAIRsharing.be9dj8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IEDA systems serve as primary community data collections for global geochemistry and marine Geoscience research to support the preservation, discovery, retrieval, and analysis of a wide range of observational field and analytical data types, enabling these data to be discovered and reused by a diverse community now and in the future. IEDA provides free and open access to all data holdings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2556,"fairsharing_record_id":2423,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.646Z","updated_at":"2021-09-30T09:25:47.646Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2555,"fairsharing_record_id":2423,"organisation_id":1763,"relation":"maintains","created_at":"2021-09-30T09:25:47.604Z","updated_at":"2021-09-30T09:25:47.604Z","grant_id":null,"is_lead":false,"saved_state":{"id":1763,"name":"Marine Geoscience Data System, Palisades NY, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2557,"fairsharing_record_id":2423,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:47.684Z","updated_at":"2021-09-30T09:25:47.684Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2558,"fairsharing_record_id":2423,"organisation_id":803,"relation":"maintains","created_at":"2021-09-30T09:25:47.720Z","updated_at":"2021-09-30T09:25:47.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":803,"name":"EarthChem, Palisades, NY, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2424","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T21:47:43.000Z","updated_at":"2024-07-08T11:03:18.043Z","metadata":{"doi":"10.25504/FAIRsharing.ne5dn7","name":"EarthChem","status":"ready","contacts":[{"contact_name":"Kerstin Lehnert","contact_email":"lehnert@ldeo.columbia.edu","contact_orcid":"0000-0001-7036-1977"}],"homepage":"http://www.earthchem.org","citations":[{"publication_id":2695}],"identifier":2424,"description":"EarthChem develops and maintains databases, software, and services that support the preservation, discovery, access and analysis of geochemical data, and facilitate their integration with the broad array of other available earth science parameters. The EarthChem Portal stores geochemical data, provides a variety of search, visualization, and output formatting options, and is interoperable with the LEPR database and the MELTS software. EarthChem Library is a data repository that archives, publishes and makes accessible data and other digital content from geoscience research.","abbreviation":"EarthChem","data_curation":{"url":"https://www.earthchem.org/ecl/policies/","type":"manual","notes":"The EarthChem Library conducts a review for quality of sample and analytical metadata"},"support_links":[{"url":"https://www.facebook.com/EarthChem","name":"Facebook","type":"Facebook"},{"url":"http://www.earthchem.org/news","name":"News","type":"Blog/News"},{"url":"info@earthchem.org","name":"General Contact","type":"Support email"},{"url":"https://earthchem.org/resources/support/","name":"Tutorials \u0026 FAQs","type":"Help documentation"},{"url":"http://www.earthchem.org/about/statistics","name":"Statistics","type":"Help documentation"},{"url":"http://www.earthchem.org/library/releasenotes","name":"Release notes","type":"Help documentation"},{"url":"http://www.earthchem.org/overview","name":"About","type":"Help documentation"},{"url":"https://twitter.com/EarthChem","name":"@EarthChem","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011538","name":"re3data:r3d100011538","portal":"re3data"}],"data_access_condition":{"url":"https://www.earthchem.org/ecl/policies/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.earthchem.org/ecl/submission-guidelines/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000906","bsg-d000906"],"name":"FAIRsharing record for: EarthChem","abbreviation":"EarthChem","url":"https://fairsharing.org/10.25504/FAIRsharing.ne5dn7","doi":"10.25504/FAIRsharing.ne5dn7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EarthChem develops and maintains databases, software, and services that support the preservation, discovery, access and analysis of geochemical data, and facilitate their integration with the broad array of other available earth science parameters. The EarthChem Portal stores geochemical data, provides a variety of search, visualization, and output formatting options, and is interoperable with the LEPR database and the MELTS software. EarthChem Library is a data repository that archives, publishes and makes accessible data and other digital content from geoscience research.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11786}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Geochemistry","Environmental Science","Chemistry","Natural Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2695,"pubmed_id":null,"title":"A global geochemical database structure for rocks","year":2000,"url":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/1999GC000026","authors":"K. Lehnert Y. Su C. H. Langmuir B. Sarbas U. Nohl","journal":"Geochemistry, Geophysics, Geosystems","doi":null,"created_at":"2021-09-30T08:27:30.971Z","updated_at":"2021-09-30T08:27:30.971Z"}],"licence_links":[{"licence_name":"EarthChem Terms of Use","licence_id":255,"licence_url":"http://www.earthchem.org/about/terms","link_id":490,"relation":"undefined"}],"grants":[{"id":2559,"fairsharing_record_id":2424,"organisation_id":1466,"relation":"maintains","created_at":"2021-09-30T09:25:47.749Z","updated_at":"2021-09-30T09:25:47.749Z","grant_id":null,"is_lead":false,"saved_state":{"id":1466,"name":"Interdisciplinary Earth Data Alliance (IEDA), Palisades, NY, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2561,"fairsharing_record_id":2424,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:47.804Z","updated_at":"2021-09-30T09:25:47.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2560,"fairsharing_record_id":2424,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.774Z","updated_at":"2021-09-30T09:29:47.498Z","grant_id":405,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948806","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBamNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d2525f35f853f763e045724cfee3d7f405ff102f/Screenshot%20from%202022-12-17%2010-44-03.png?disposition=inline","exhaustive_licences":false}},{"id":"2425","type":"fairsharing_records","attributes":{"created_at":"2017-04-15T10:41:28.000Z","updated_at":"2023-06-22T16:24:45.397Z","metadata":{"doi":"10.25504/FAIRsharing.9enwm8","name":"Marine Geoscience Data System","status":"ready","contacts":[{"contact_name":"General information","contact_email":"info@marine-geo.org"}],"homepage":"http://www.marine-geo.org/index.php","citations":[],"identifier":2425,"description":"The Marine Geoscience Data System (MGDS) is a data repository providing free public access to a curated collection of marine geophysical data products and complementary data related to understanding the formation and evolution of the seafloor and sub-seafloor.","abbreviation":"MGDS","data_curation":{"url":"https://www.marine-geo.org/about/overview.php","type":"manual"},"support_links":[{"url":"http://www.marine-geo.org/help/index.php","type":"Help documentation"},{"url":"http://www.marine-geo.org/education/modules.php","type":"Training documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://www.geomapapp.org/","name":"GeoMapApp 3.6.10"},{"url":"http://www.virtualocean.org/","name":"Virtual Ocean 2.6.0"},{"url":"http://www.earth-observer.org/","name":"EarthObserver 2.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010273","name":"re3data:r3d100010273","portal":"re3data"}],"data_access_condition":{"url":"https://www.marine-geo.org/about/overview.php","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.marine-geo.org/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000907","bsg-d000907"],"name":"FAIRsharing record for: Marine Geoscience Data System","abbreviation":"MGDS","url":"https://fairsharing.org/10.25504/FAIRsharing.9enwm8","doi":"10.25504/FAIRsharing.9enwm8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Marine Geoscience Data System (MGDS) is a data repository providing free public access to a curated collection of marine geophysical data products and complementary data related to understanding the formation and evolution of the seafloor and sub-seafloor.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Natural Science","Earth Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States (CC BY-NC-SA 3.0 US)","licence_id":185,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/us/","link_id":55,"relation":"undefined"},{"licence_name":"MGDS Terms of Use","licence_id":509,"licence_url":"http://www.marine-geo.org/about/terms_of_use.php","link_id":53,"relation":"undefined"}],"grants":[{"id":2562,"fairsharing_record_id":2425,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.842Z","updated_at":"2021-09-30T09:25:47.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2563,"fairsharing_record_id":2425,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:47.888Z","updated_at":"2021-09-30T09:25:47.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcFFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6d3ce8c4bbc81a3c009d86ec5fec016bce317946/mgdslogofull.png?disposition=inline","exhaustive_licences":true}},{"id":"2426","type":"fairsharing_records","attributes":{"created_at":"2017-04-15T11:14:00.000Z","updated_at":"2023-12-15T10:31:31.398Z","metadata":{"doi":"10.25504/FAIRsharing.x9rqf7","name":"Incorporated Research Institutions for Seismology Data","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"webmaster@iris.edu"}],"homepage":"http://ds.iris.edu/ds/nodes/dmc/data/#","citations":[],"identifier":2426,"description":"IRIS provides management of, and access to, observed and derived data for the global earth science community. IRIS membership comprises virtually all US universities with research programs in seismology, and is dedicated to the operation of science facilities for the acquisition, management, and distribution of seismological data. IRIS programs contribute to scholarly research, education, earthquake hazard mitigation, and verification of the Comprehensive Nuclear-Test-Ban Treaty.","abbreviation":"IRIS Data","data_curation":{"url":"https://www.iris.edu/hq/sage","type":"manual/automated","notes":"\"SAGE Data Services (DS) is the world’s largest facility for the archiving, curation, and distribution of seismological and other geophysical research data and data products.\""},"support_links":[{"url":"http://www.iris.edu/hq/about_iris/faqs","name":"IRIS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ds.iris.edu/ds/nodes/dmc/quality-assurance/","name":"Quality Assurance at IRIS","type":"Help documentation"},{"url":"https://www.iris.edu/hq/programs/epo/about","name":"Education and Outreach","type":"Training documentation"},{"url":"https://twitter.com/IRIS_quakes","name":"@IRIS_quakes","type":"Twitter"},{"url":"https://twitter.com/IRIS_EPO","name":"@IRIS_EPO","type":"Twitter"},{"url":"https://twitter.com/IRIS_temblor","name":"@IRIS_temblor","type":"Twitter"}],"year_creation":1994,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010268","name":"re3data:r3d100010268","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002201","name":"SciCrunch:RRID:SCR_002201","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ds.iris.edu/ds/nodes/dmc/data/#submitting","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000908","bsg-d000908"],"name":"FAIRsharing record for: Incorporated Research Institutions for Seismology Data","abbreviation":"IRIS Data","url":"https://fairsharing.org/10.25504/FAIRsharing.x9rqf7","doi":"10.25504/FAIRsharing.x9rqf7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IRIS provides management of, and access to, observed and derived data for the global earth science community. IRIS membership comprises virtually all US universities with research programs in seismology, and is dedicated to the operation of science facilities for the acquisition, management, and distribution of seismological data. IRIS programs contribute to scholarly research, education, earthquake hazard mitigation, and verification of the Comprehensive Nuclear-Test-Ban Treaty.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Seismology"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2564,"fairsharing_record_id":2426,"organisation_id":1323,"relation":"maintains","created_at":"2021-09-30T09:25:47.925Z","updated_at":"2021-09-30T09:25:47.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":1323,"name":"Incorporated Research Institutions for Seismology (IRIS), Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2565,"fairsharing_record_id":2426,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.963Z","updated_at":"2021-09-30T09:25:47.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2445","type":"fairsharing_records","attributes":{"created_at":"2017-04-21T12:21:40.000Z","updated_at":"2023-12-15T10:32:43.661Z","metadata":{"doi":"10.25504/FAIRsharing.tj9xv0","name":"NERC British Oceanographic Data Centre Data Archive","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"enquiries@bodc.ac.uk"}],"homepage":"http://www.bodc.ac.uk","identifier":2445,"description":"BODC makes available biological, chemical, physical and geophysical data on the marine environment.","abbreviation":"BODC","data_curation":{"url":"https://www.bodc.ac.uk/resources/help_and_hints/faq/","type":"manual"},"support_links":[{"url":"https://www.bodc.ac.uk/resources/help_and_hints/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.bodc.ac.uk/resources/help_and_hints/","type":"Help documentation"},{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"},{"url":"https://www.bodc.ac.uk/about/#","name":"About","type":"Help documentation"}],"year_creation":1989,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010192","name":"re3data:r3d100010192","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.bodc.ac.uk/submit_data/submission_guidelines/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000927","bsg-d000927"],"name":"FAIRsharing record for: NERC British Oceanographic Data Centre Data Archive","abbreviation":"BODC","url":"https://fairsharing.org/10.25504/FAIRsharing.tj9xv0","doi":"10.25504/FAIRsharing.tj9xv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BODC makes available biological, chemical, physical and geophysical data on the marine environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geochemistry","Environmental Science","Geophysics","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BODC Privacy Policy","licence_id":85,"licence_url":"https://www.bodc.ac.uk/resources/help_and_hints/using_this_web_site/privacy/","link_id":1173,"relation":"undefined"}],"grants":[{"id":2609,"fairsharing_record_id":2445,"organisation_id":2057,"relation":"maintains","created_at":"2021-09-30T09:25:49.628Z","updated_at":"2021-09-30T09:25:49.628Z","grant_id":null,"is_lead":true,"saved_state":{"id":2057,"name":"National Oceanographic Centre (NOC), Liverpool Site, Liverpool, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2691","type":"fairsharing_records","attributes":{"created_at":"2018-10-30T14:18:58.000Z","updated_at":"2023-06-23T15:15:03.661Z","metadata":{"doi":"10.25504/FAIRsharing.A0ozDj","name":"Genome Properties","status":"ready","contacts":[{"contact_name":"Lorna Richardson","contact_email":"GenProp@ebi.ac.uk","contact_orcid":"0000-0002-3655-5660"}],"homepage":"https://www.ebi.ac.uk/interpro/genomeproperties","citations":[{"doi":"10.1093/nar/gky1013","pubmed_id":30364992,"publication_id":2762}],"identifier":2691,"description":"Genome properties is an annotation system whereby functional attributes can be assigned to a genome, based on the presence of a defined set of protein signatures within that genome. This is a reimplementation at EMBL-EBI of a resource previously hosted at JCVI.","abbreviation":"Genome Properties","data_curation":{"url":"https://github.com/ebi-pf-team/genome-properties/blob/master/README.md","type":"automated"},"support_links":[{"url":"GenProp@ebi.ac.uk","name":"Genome properties helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/interpro/genomeproperties/#about","name":"About Genome properties","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/genome-properties-quick-tour","name":"Genome properties quick tour","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/genome-properties-tutorial","name":"Genome properties tutorial","type":"Training documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://genome-properties.readthedocs.io/en/latest/contributing.html","type":"open","notes":"Prior contact should be made by email, there are no standardised data deposition conditions."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001188","bsg-d001188"],"name":"FAIRsharing record for: Genome Properties","abbreviation":"Genome Properties","url":"https://fairsharing.org/10.25504/FAIRsharing.A0ozDj","doi":"10.25504/FAIRsharing.A0ozDj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genome properties is an annotation system whereby functional attributes can be assigned to a genome, based on the presence of a defined set of protein signatures within that genome. This is a reimplementation at EMBL-EBI of a resource previously hosted at JCVI.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12820}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics"],"domains":["Sequence annotation","Genome annotation","Computational biological predictions","Gene functional annotation","Function analysis","Proteome","Protein-containing complex","Homologous","Genome"],"taxonomies":["All"],"user_defined_tags":["protein homology","proteome annotation"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":398,"pubmed_id":23197656,"title":"TIGRFAMs and Genome Properties in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1234","authors":"Haft DH,Selengut JD,Richter RA,Harkins D,Basu MK,Beck E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1234","created_at":"2021-09-30T08:23:03.256Z","updated_at":"2021-09-30T11:28:46.317Z"},{"id":409,"pubmed_id":17151080,"title":"TIGRFAMs and Genome Properties: tools for the assignment of molecular function and biological process in prokaryotic genomes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1043","authors":"Selengut JD., Haft DH., Davidsen T., Ganapathy A., Gwinn-Giglio M., Nelson WC., Richter AR., White O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1043","created_at":"2021-09-30T08:23:04.426Z","updated_at":"2021-09-30T08:23:04.426Z"},{"id":2762,"pubmed_id":30364992,"title":"Genome properties in 2019: a new companion database to InterPro for the inference of complete functional attributes.","year":2018,"url":"http://doi.org/10.1093/nar/gky1013","authors":"Richardson LJ,Rawlings ND,Salazar GA,Almeida A,Haft DR,Ducq G,Sutton GG,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1013","created_at":"2021-09-30T08:27:39.493Z","updated_at":"2021-09-30T11:29:43.129Z"},{"id":2763,"pubmed_id":15347579,"title":"Genome Properties: a system for the investigation of prokaryotic genetic content for microbiology, genome annotation and comparative genomics.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bti015","authors":"Haft DH,Selengut JD,Brinkac LM,Zafar N,White O","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti015","created_at":"2021-09-30T08:27:39.604Z","updated_at":"2021-09-30T08:27:39.604Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":735,"relation":"undefined"}],"grants":[{"id":3213,"fairsharing_record_id":2691,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:26:10.279Z","updated_at":"2021-09-30T09:26:10.279Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3214,"fairsharing_record_id":2691,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:10.321Z","updated_at":"2021-09-30T09:32:11.777Z","grant_id":1511,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458808","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3212,"fairsharing_record_id":2691,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:10.237Z","updated_at":"2021-09-30T09:26:10.237Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3215,"fairsharing_record_id":2691,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:10.362Z","updated_at":"2021-09-30T09:26:10.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2692","type":"fairsharing_records","attributes":{"created_at":"2018-10-31T07:56:38.000Z","updated_at":"2023-06-23T15:06:56.247Z","metadata":{"doi":"10.25504/FAIRsharing.ltyo8e","name":"Visual Media Service","status":"ready","contacts":[{"contact_name":"Roberto Scopigno","contact_email":"r.scopigno@isti.cnr.it","contact_orcid":"0000-0002-7457-7473"}],"homepage":"http://visual.ariadne-infrastructure.eu/","citations":[],"identifier":2692,"description":"The aim of the Visual Media Service is to provide CH researchers with an automatic system to publish on the web, search, visualize and analyze images and 3D models in a common workspace, enabling sharing, interoperability and reuse of visual data. Visual Media Service enables the easy publication and visualization on the web of high-resolution 2D images, RTI (Reflection Transformation Images) and 3D models.","abbreviation":"VisMS","data_curation":{"type":"none"},"support_links":[{"url":"ponchio@isti.cnr.it","name":"Federico Ponchio, CNR-ISTI","type":"Support email"},{"url":"http://visual.ariadne-infrastructure.eu/help","name":"Help on line","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"url":"Free login is required to upload the images.","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001189","bsg-d001189"],"name":"FAIRsharing record for: Visual Media Service","abbreviation":"VisMS","url":"https://fairsharing.org/10.25504/FAIRsharing.ltyo8e","doi":"10.25504/FAIRsharing.ltyo8e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of the Visual Media Service is to provide CH researchers with an automatic system to publish on the web, search, visualize and analyze images and 3D models in a common workspace, enabling sharing, interoperability and reuse of visual data. Visual Media Service enables the easy publication and visualization on the web of high-resolution 2D images, RTI (Reflection Transformation Images) and 3D models.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Culture","Humanities","Natural Science","History","Data Visualization"],"domains":["Imaging"],"taxonomies":[],"user_defined_tags":["image processing"],"countries":["Italy"],"publications":[],"licence_links":[],"grants":[{"id":3216,"fairsharing_record_id":2692,"organisation_id":1568,"relation":"maintains","created_at":"2021-09-30T09:26:10.400Z","updated_at":"2021-09-30T09:26:10.400Z","grant_id":null,"is_lead":true,"saved_state":{"id":1568,"name":"Italian National Research Council (CNR), Istituto di Scienza e Tecnologie dell'Informazione (ISTI), Italy","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":3217,"fairsharing_record_id":2692,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:26:10.437Z","updated_at":"2021-09-30T09:29:26.263Z","grant_id":250,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654119 (EC PARTHENOS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7938,"fairsharing_record_id":2692,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:29:56.508Z","updated_at":"2021-09-30T09:29:56.618Z","grant_id":479,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"739563 (EOSC Pilot)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2693","type":"fairsharing_records","attributes":{"created_at":"2018-10-31T20:46:57.000Z","updated_at":"2023-06-23T10:51:51.268Z","metadata":{"doi":"10.25504/FAIRsharing.78f3ff","name":"UKEOF Catalogue","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"office@ukeof.org.uk"}],"homepage":"https://catalogue.ukeof.org.uk","citations":[],"identifier":2693,"description":"This catalogue provides United Kingdom environmental observations.","abbreviation":"UKEOF Catalogue","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ukeof.org.uk/","name":"Environmental Observation Framework","type":"Other"},{"url":"https://twitter.com/UKEnvObs/","name":"@UKEnvObs","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"url":"https://www.ukeof.org.uk/catalogue/conditions","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ukeof.org.uk/documents/20150203UKEOFCatalogueleaflet.pdf","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001190","bsg-d001190"],"name":"FAIRsharing record for: UKEOF Catalogue","abbreviation":"UKEOF Catalogue","url":"https://fairsharing.org/10.25504/FAIRsharing.78f3ff","doi":"10.25504/FAIRsharing.78f3ff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This catalogue provides United Kingdom environmental observations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Geology","Earth Science","Freshwater Science","Oceanography","Water Research"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Grassland Research"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Government Licence (OGL)","licence_id":628,"licence_url":"http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/","link_id":1610,"relation":"undefined"}],"grants":[{"id":3218,"fairsharing_record_id":2693,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:26:10.479Z","updated_at":"2021-09-30T09:26:10.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3219,"fairsharing_record_id":2693,"organisation_id":2896,"relation":"maintains","created_at":"2021-09-30T09:26:10.521Z","updated_at":"2021-09-30T09:26:10.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2896,"name":"UK Environmental Observations Framework","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3220,"fairsharing_record_id":2693,"organisation_id":664,"relation":"funds","created_at":"2021-09-30T09:26:10.559Z","updated_at":"2021-09-30T09:26:10.559Z","grant_id":null,"is_lead":false,"saved_state":{"id":664,"name":"Department for Environment, Food \u0026 Rural Affairs, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2694","type":"fairsharing_records","attributes":{"created_at":"2018-10-31T21:47:15.000Z","updated_at":"2023-06-23T15:43:30.999Z","metadata":{"doi":"10.25504/FAIRsharing.2c8e7e","name":"CHD7 Database","status":"ready","contacts":[{"contact_name":"Nicole Corsten-Janssen","contact_email":"charge@umcg.nl","contact_orcid":"0000-0002-9438-2374"}],"homepage":"https://www.chd7.org/","identifier":2694,"description":"The CHD7 database contains locus-specific, anonymised mutation data on both published and unpublished variants of the CHD7 gene related to the CHARGE syndrome phenotype. It can be searched for patients and their clinical phenotype or for mutations. It can be used as a central, quick reference database for anyone who encounters a variant in the CHD7 gene. Mutations are numbered according to the current reference sequence (GenBank Accession no. NM017780.2).","abbreviation":"CHD7 Database","data_curation":{"url":"https://www.chd7.org/menu/main/background","type":"manual"},"support_links":[{"url":"https://www.chd7.org/menu/main/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.chd7.org/menu/main/background","name":"Background","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.chd7.org/menu/main/background","type":"open","notes":"Free registration is required, all submitted data will be checked and completed where necessary."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001191","bsg-d001191"],"name":"FAIRsharing record for: CHD7 Database","abbreviation":"CHD7 Database","url":"https://fairsharing.org/10.25504/FAIRsharing.2c8e7e","doi":"10.25504/FAIRsharing.2c8e7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CHD7 database contains locus-specific, anonymised mutation data on both published and unpublished variants of the CHD7 gene related to the CHARGE syndrome phenotype. It can be searched for patients and their clinical phenotype or for mutations. It can be used as a central, quick reference database for anyone who encounters a variant in the CHD7 gene. Mutations are numbered according to the current reference sequence (GenBank Accession no. NM017780.2).","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11553}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Genetics","Biomedical Science","Biology"],"domains":["Expression data","Mutation","Phenotype","Disease phenotype","Gene","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Researcher data"],"countries":["Netherlands"],"publications":[{"id":1717,"pubmed_id":22461308,"title":"Mutation update on the CHD7 gene involved in CHARGE syndrome.","year":2012,"url":"http://doi.org/10.1002/humu.22086","authors":"Janssen N,Bergman JE,Swertz MA,Tranebjaerg L,Lodahl M,Schoots J,Hofstra RM,van Ravenswaaij-Arts CM,Hoefsloot LH","journal":"Hum Mutat","doi":"10.1002/humu.22086","created_at":"2021-09-30T08:25:32.371Z","updated_at":"2021-09-30T08:25:32.371Z"}],"licence_links":[],"grants":[{"id":3221,"fairsharing_record_id":2694,"organisation_id":3059,"relation":"maintains","created_at":"2021-09-30T09:26:10.591Z","updated_at":"2021-09-30T09:26:10.591Z","grant_id":null,"is_lead":true,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2695","type":"fairsharing_records","attributes":{"created_at":"2018-11-01T18:28:49.000Z","updated_at":"2024-03-27T18:54:07.859Z","metadata":{"doi":"10.25504/FAIRsharing.111a51","name":"DEB Register","status":"ready","contacts":[{"contact_name":"Peter C van den Akker","contact_email":"p.c.van.den.akker@umcg.nl"}],"homepage":"https://www.deb-central.org","citations":[{"doi":"10.1002/humu.21651","pubmed_id":22058051,"publication_id":252},{"doi":"10.1002/humu.21551","pubmed_id":21681854,"publication_id":2713}],"identifier":2695,"description":"International Dystrophic Epidermolysis Bullosa Patient Registry (DEB Register) provides phenotypic and genotypic information on DEB and the related COL7A1 mutations. The registry is intended to aid in disease diagnosis, genetic counseling, and discovery of novel insights.","abbreviation":"DEB Register","data_curation":{"url":"https://www.deb-central.org/menu/main/background","type":"manual"},"support_links":[{"url":"https://www.deb-central.org/menu/main/news","name":"News","type":"Blog/News"},{"url":"https://www.deb-central.org/menu/main/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.deb-central.org/menu/main/background","name":"Background","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"url":"https://www.deb-central.org/menu/main/home","type":"partially open","notes":"Free login required"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.deb-central.org/menu/main/background#Background","type":"controlled","notes":"Before data submission login required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001192","bsg-d001192"],"name":"FAIRsharing record for: DEB Register","abbreviation":"DEB Register","url":"https://fairsharing.org/10.25504/FAIRsharing.111a51","doi":"10.25504/FAIRsharing.111a51","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: International Dystrophic Epidermolysis Bullosa Patient Registry (DEB Register) provides phenotypic and genotypic information on DEB and the related COL7A1 mutations. The registry is intended to aid in disease diagnosis, genetic counseling, and discovery of novel insights.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11554}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Human Genetics","Biomedical Science"],"domains":["Genotyping","Mutation","Phenotype","Diagnosis","Gene","Gene-disease association","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Functional impact of genetic variants"],"countries":["Austria","Germany","Italy","Netherlands","United Kingdom"],"publications":[{"id":252,"pubmed_id":22058051,"title":"The COL7A1 mutation database.","year":2011,"url":"http://doi.org/10.1002/humu.21651","authors":"Wertheim-Tysarowska K,Sobczynska-Tomaszewska A,Kowalewski C,Skronski M,Swieckowski G,Kutkowska-Kazmierczak A,Wozniak K,Bal J","journal":"Hum Mutat","doi":"10.1002/humu.21651","created_at":"2021-09-30T08:22:47.190Z","updated_at":"2021-09-30T08:22:47.190Z"},{"id":2713,"pubmed_id":21681854,"title":"The international dystrophic epidermolysis bullosa patient registry: an online database of dystrophic epidermolysis bullosa patients and their COL7A1 mutations.","year":2011,"url":"http://doi.org/10.1002/humu.21551","authors":"van den Akker PC,Jonkman MF,Rengaw T,Bruckner-Tuderman L,Has C,Bauer JW,Klausegger A,Zambruno G,Castiglia D,Mellerio JE,McGrath JA,van Essen AJ,Hofstra RM,Swertz MA","journal":"Hum Mutat","doi":"10.1002/humu.21551","created_at":"2021-09-30T08:27:33.145Z","updated_at":"2021-09-30T08:27:33.145Z"},{"id":2717,"pubmed_id":19945622,"title":"Dystrophic epidermolysis bullosa: pathogenesis and clinical features.","year":2009,"url":"http://doi.org/10.1016/j.det.2009.10.020","authors":"Bruckner-Tuderman L","journal":"Dermatol Clin","doi":"10.1016/j.det.2009.10.020","created_at":"2021-09-30T08:27:33.680Z","updated_at":"2021-09-30T08:27:33.680Z"}],"licence_links":[],"grants":[{"id":3224,"fairsharing_record_id":2695,"organisation_id":3056,"relation":"funds","created_at":"2021-09-30T09:26:10.671Z","updated_at":"2021-09-30T09:26:10.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":3056,"name":"University of Freiburg","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3222,"fairsharing_record_id":2695,"organisation_id":1206,"relation":"funds","created_at":"2021-09-30T09:26:10.615Z","updated_at":"2021-09-30T09:26:10.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":1206,"name":"Guys and St Thomas NHS Foundation Trust, London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3223,"fairsharing_record_id":2695,"organisation_id":3059,"relation":"maintains","created_at":"2021-09-30T09:26:10.640Z","updated_at":"2021-09-30T09:26:10.640Z","grant_id":null,"is_lead":false,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3227,"fairsharing_record_id":2695,"organisation_id":2123,"relation":"funds","created_at":"2021-09-30T09:26:10.775Z","updated_at":"2021-09-30T09:26:10.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":2123,"name":"Netherlands Bioinformatics Centre, Nijmegen, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3228,"fairsharing_record_id":2695,"organisation_id":2768,"relation":"funds","created_at":"2021-09-30T09:26:10.799Z","updated_at":"2021-09-30T09:26:10.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":2768,"name":"The Dutch Vlinderkind (Butterfly Child) Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3230,"fairsharing_record_id":2695,"organisation_id":2780,"relation":"funds","created_at":"2021-09-30T09:26:10.847Z","updated_at":"2021-09-30T09:26:10.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":2780,"name":"The Freiburg Institute for Advanced Studies, Freiburg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3226,"fairsharing_record_id":2695,"organisation_id":2812,"relation":"funds","created_at":"2021-09-30T09:26:10.742Z","updated_at":"2021-09-30T09:30:41.497Z","grant_id":824,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","grant":"92003541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3225,"fairsharing_record_id":2695,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:26:10.709Z","updated_at":"2021-09-30T09:31:31.203Z","grant_id":1206,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","grant":"Rubicon 825.09.008","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9340,"fairsharing_record_id":2695,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.607Z","updated_at":"2022-04-11T12:07:31.607Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2697","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T10:12:15.000Z","updated_at":"2023-10-18T16:27:42.420Z","metadata":{"doi":"10.25504/FAIRsharing.gX56qR","name":"CowpeaMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org"}],"homepage":"https://mines.legumeinfo.org/cowpeamine","citations":[],"identifier":2697,"description":"CowpeaMine integrates genomic and genetic data for cowpea, Vigna unguiculata. It is built from the LIS tripal.chado database as well as data from publications.","abbreviation":"CowpeaMine","data_curation":{},"support_links":[{"url":"https://mines.legumeinfo.org/cowpeamine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-10-18","deprecation_reason":"This resource's homepage is no longer available and a suitable alternative cannot be found. Please get in touch if you have information relating to this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001194","bsg-d001194"],"name":"FAIRsharing record for: CowpeaMine","abbreviation":"CowpeaMine","url":"https://fairsharing.org/10.25504/FAIRsharing.gX56qR","doi":"10.25504/FAIRsharing.gX56qR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CowpeaMine integrates genomic and genetic data for cowpea, Vigna unguiculata. It is built from the LIS tripal.chado database as well as data from publications.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11676}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":[],"taxonomies":["Vigna unguiculata"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":694,"relation":"undefined"}],"grants":[{"id":3239,"fairsharing_record_id":2697,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:26:11.113Z","updated_at":"2021-09-30T09:26:11.113Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3240,"fairsharing_record_id":2697,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:11.154Z","updated_at":"2021-09-30T09:26:11.154Z","grant_id":null,"is_lead":true,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3241,"fairsharing_record_id":2697,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:11.192Z","updated_at":"2021-09-30T09:32:16.274Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2699","type":"fairsharing_records","attributes":{"created_at":"2018-11-03T20:35:43.000Z","updated_at":"2023-06-22T16:37:08.115Z","metadata":{"doi":"10.25504/FAIRsharing.1e2ced","name":"Ocean Network Canada","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"nfo@oceannetworks.ca"}],"homepage":"https://data.oceannetworks.ca/home?TREETYPE=1\u0026LOCATION=11\u0026TIMECONFIG=0","citations":[],"identifier":2699,"description":"Ocean Networks Canada is a database on data pertaining to the ocean and marine environment.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/Ocean_Networks","name":"Twitter","type":"Twitter"},{"url":"https://wiki.oceannetworks.ca/display/O2KB","name":"Oceans 3.0 Knowledge Base","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011094","name":"re3data:r3d100011094","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001197","bsg-d001197"],"name":"FAIRsharing record for: Ocean Network Canada","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1e2ced","doi":"10.25504/FAIRsharing.1e2ced","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ocean Networks Canada is a database on data pertaining to the ocean and marine environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[],"grants":[{"id":3243,"fairsharing_record_id":2699,"organisation_id":2220,"relation":"maintains","created_at":"2021-09-30T09:26:11.248Z","updated_at":"2023-04-23T14:06:24.176Z","grant_id":null,"is_lead":true,"saved_state":{"id":2220,"name":"Ocean Networks Canada","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2700","type":"fairsharing_records","attributes":{"created_at":"2018-11-03T21:34:56.000Z","updated_at":"2023-06-23T11:31:21.209Z","metadata":{"doi":"10.25504/FAIRsharing.41a4e4","name":"WormQTL","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@panaceaproject.eu"}],"homepage":"https://www.wormqtl.org/xqtl_panacea/molgenis.do?select=Home","citations":[],"identifier":2700,"description":"WormQTL is an online scalable system for QTL exploration to service the worm community. WormQTL provides many publicly available datasets and welcomes submissions from other worm researchers.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.wormqtl.org/xqtl_panacea/molgenis.do?select=Help","name":"Help Page","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001198","bsg-d001198"],"name":"FAIRsharing record for: WormQTL","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.41a4e4","doi":"10.25504/FAIRsharing.41a4e4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WormQTL is an online scalable system for QTL exploration to service the worm community. WormQTL provides many publicly available datasets and welcomes submissions from other worm researchers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biology"],"domains":["Genome visualization","Model organism","Gene regulatory element","Quantitative trait loci"],"taxonomies":["Caenorhabditis"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":276,"pubmed_id":23180786,"title":"WormQTL--public archive and analysis web portal for natural variation data in Caenorhabditis spp.","year":2012,"url":"http://doi.org/10.1093/nar/gks1124","authors":"Snoek LB,Van der Velde KJ,Arends D,Li Y,Beyer A,Elvin M,Fisher J,Hajnal A,Hengartner MO,Poulin GB,Rodriguez M,Schmid T,Schrimpf S,Xue F,Jansen RC,Kammenga JE,Swertz MA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1124","created_at":"2021-09-30T08:22:49.804Z","updated_at":"2021-09-30T11:28:44.733Z"}],"licence_links":[],"grants":[{"id":3245,"fairsharing_record_id":2700,"organisation_id":2287,"relation":"funds","created_at":"2021-09-30T09:26:11.298Z","updated_at":"2021-09-30T09:26:11.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":2287,"name":"Panacea","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3247,"fairsharing_record_id":2700,"organisation_id":3059,"relation":"funds","created_at":"2021-09-30T09:26:11.348Z","updated_at":"2021-09-30T09:26:11.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3244,"fairsharing_record_id":2700,"organisation_id":1115,"relation":"maintains","created_at":"2021-09-30T09:26:11.274Z","updated_at":"2021-09-30T09:26:11.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":1115,"name":"Genomics Coordination Centre, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3246,"fairsharing_record_id":2700,"organisation_id":920,"relation":"maintains","created_at":"2021-09-30T09:26:11.324Z","updated_at":"2021-09-30T09:26:11.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2702","type":"fairsharing_records","attributes":{"created_at":"2018-11-04T22:39:38.000Z","updated_at":"2023-12-15T10:31:11.941Z","metadata":{"doi":"10.25504/FAIRsharing.6bfdfc","name":"American Mineralogist Crystal Structure Database","status":"ready","contacts":[{"contact_name":"Robert T Downs","contact_email":"rdowns@u.arizona.edu"}],"homepage":"http://rruff.geo.arizona.edu/AMS/amcsd.php","citations":[{"publication_id":2725}],"identifier":2702,"description":"This crystal structure database includes every structure published in the American Mineralogist, The Canadian Mineralogist, European Journal of Mineralogy and Physics and Chemistry of Minerals, as well as selected datasets from other journals.","abbreviation":null,"data_curation":{"url":"http://rruff.geo.arizona.edu/AMS/amcsd.php","type":"manual","notes":"\"This site is an interface to a crystal structure database that includes every structure published in the American Mineralogist, The Canadian Mineralogist, European Journal of Mineralogy and Physics and Chemistry of Minerals, as well as selected datasets from other journals.\""},"support_links":[{"url":"http://rruff.geo.arizona.edu/AMS/tips.php","name":"Search Tips","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010765","name":"re3data:r3d100010765","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001200","bsg-d001200"],"name":"FAIRsharing record for: American Mineralogist Crystal Structure Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6bfdfc","doi":"10.25504/FAIRsharing.6bfdfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This crystal structure database includes every structure published in the American Mineralogist, The Canadian Mineralogist, European Journal of Mineralogy and Physics and Chemistry of Minerals, as well as selected datasets from other journals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Earth Science","Mineralogy","Physics"],"domains":["Chemical structure","Structure"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":2725,"pubmed_id":null,"title":"The American Mineralogist crystal structure database","year":2003,"url":"https://www.geo.arizona.edu/xtal/group/pdf/am88_247.pdf","authors":"Robert T. Downs, Michelle Hall-Wallace","journal":"American Mineralogist (2003) 88 (1): 247–250.","doi":null,"created_at":"2021-09-30T08:27:34.728Z","updated_at":"2021-09-30T08:27:34.728Z"}],"licence_links":[],"grants":[{"id":3253,"fairsharing_record_id":2702,"organisation_id":1842,"relation":"maintains","created_at":"2021-09-30T09:26:11.498Z","updated_at":"2021-09-30T09:26:11.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":1842,"name":"Mineralogy and cristallography lab, Department of Geosciences, University of Arizona, AZ, U.S.A","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3255,"fairsharing_record_id":2702,"organisation_id":1841,"relation":"maintains","created_at":"2021-09-30T09:26:11.548Z","updated_at":"2021-09-30T09:26:11.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":1841,"name":"Mineralogical Society of America, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3256,"fairsharing_record_id":2702,"organisation_id":1840,"relation":"maintains","created_at":"2021-09-30T09:26:11.574Z","updated_at":"2021-09-30T09:26:11.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":1840,"name":"Mineralogical Association of Canada, Canada","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3254,"fairsharing_record_id":2702,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:11.524Z","updated_at":"2021-09-30T09:29:33.703Z","grant_id":301,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0112782","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7989,"fairsharing_record_id":2702,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:15.953Z","updated_at":"2021-09-30T09:30:16.005Z","grant_id":627,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0622371","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2707","type":"fairsharing_records","attributes":{"created_at":"2018-11-16T12:20:52.000Z","updated_at":"2023-12-15T10:28:27.728Z","metadata":{"doi":"10.25504/FAIRsharing.LEtKjT","name":"Imperial College Research Computing Service Data Repository","status":"ready","contacts":[{"contact_name":"M. J. Harvey","contact_email":"m.j.harvey@imperial.ac.uk","contact_orcid":"0000-0003-1797-3186"}],"homepage":"https://data.hpc.imperial.ac.uk","citations":[{"doi":"10.1186/s13321-017-0190-6","publication_id":2131}],"identifier":2707,"description":"A lightweight digital repository for data based on the concepts of collections of filesets. Both the collection and the fileset are assigned a DOI by the DataCite organisation which can be quoted in articles. Browsing and data deposition are available only when logged in. ","abbreviation":null,"data_curation":{"url":"https://wiki.ch.ic.ac.uk/wiki/index.php?title=Rdm:data","type":"manual"},"support_links":[{"url":"https://wiki.ch.ic.ac.uk/wiki/index.php?title=Rdm:data","name":"Help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011965","name":"re3data:r3d100011965","portal":"re3data"}],"data_access_condition":{"url":"https://data.hpc.imperial.ac.uk/publish/browse","type":"controlled","notes":"Data browsing under login"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://wiki.ch.ic.ac.uk/wiki/index.php?title=Rdm:data","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001205","bsg-d001205"],"name":"FAIRsharing record for: Imperial College Research Computing Service Data Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LEtKjT","doi":"10.25504/FAIRsharing.LEtKjT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A lightweight digital repository for data based on the concepts of collections of filesets. Both the collection and the fileset are assigned a DOI by the DataCite organisation which can be quoted in articles. Browsing and data deposition are available only when logged in. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry"],"domains":["Molecular structure","Molecular entity","Chemical descriptor"],"taxonomies":["All"],"user_defined_tags":["institutional repository"],"countries":["United Kingdom"],"publications":[{"id":2131,"pubmed_id":null,"title":"A metadata-driven approach to data repository design,","year":2017,"url":"http://doi.org/10.1186/s13321-017-0190-6","authors":"M. J. Harvey, A. McLean, H. S. Rzepa","journal":"J. Cheminformatics","doi":"10.1186/s13321-017-0190-6","created_at":"2021-09-30T08:26:20.316Z","updated_at":"2021-09-30T08:26:20.316Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":59,"relation":"undefined"}],"grants":[{"id":3261,"fairsharing_record_id":2707,"organisation_id":1320,"relation":"maintains","created_at":"2021-09-30T09:26:11.699Z","updated_at":"2021-09-30T09:26:11.699Z","grant_id":null,"is_lead":false,"saved_state":{"id":1320,"name":"Imperial College London, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2708","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T12:18:49.000Z","updated_at":"2023-12-15T10:31:00.239Z","metadata":{"doi":"10.25504/FAIRsharing.293c15","name":"GTEx Portal","status":"ready","contacts":[],"homepage":"https://gtexportal.org","citations":[],"identifier":2708,"description":"The Genotype-Tissue Expression (GTEx) project is an ongoing effort to build a comprehensive public resource to study tissue-specific gene expression and regulation. Samples were collected from 53 non-diseased tissue sites across nearly 1000 individuals, primarily for molecular assays including WGS, WES, and RNA-Seq. Remaining samples are available from the GTEx Biobank. The GTEx Portal provides open access to data including gene expression, QTLs, and histology images.","abbreviation":"GTEx Portal","data_curation":{"type":"not found"},"support_links":[{"url":"https://gtexportal.org/home/contact","name":"GTEx Contact Form","type":"Contact form"},{"url":"https://gtexportal.org/home/documentationPage","name":"GTEx documentation","type":"Help documentation"},{"url":"https://gtexportal.org/home/releaseInfoPage","name":"Release information","type":"Help documentation"},{"url":"https://gtexportal.org/home/tissueSummaryPage","name":"Dataset Summary Information","type":"Help documentation"},{"url":"https://gtexportal.org/home/videos","name":"Training Videos","type":"Training documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://gtexportal.org/home/bubbleHeatmapPage","name":"GTEx Gene-eQTL Visualizer"},{"url":"https://gtexportal.org/home/histologyPage?tab=PCA","name":"Expression PCA"},{"url":"https://gtexportal.org/home/browseEqtls","name":"GTEx IGV eQTL Browser"},{"url":"https://gtexportal.org/home/testyourown","name":"GTEx eQTL Calculator"},{"url":"https://gtexportal.org/home/eqtlDashboardPage","name":"GTEx eQTL Dashboard"}],"data_access_condition":{"url":"https://gtexportal.org/home/protectedDataAccess","type":"partially open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001206","bsg-d001206"],"name":"FAIRsharing record for: GTEx Portal","abbreviation":"GTEx Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.293c15","doi":"10.25504/FAIRsharing.293c15","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genotype-Tissue Expression (GTEx) project is an ongoing effort to build a comprehensive public resource to study tissue-specific gene expression and regulation. Samples were collected from 53 non-diseased tissue sites across nearly 1000 individuals, primarily for molecular assays including WGS, WES, and RNA-Seq. Remaining samples are available from the GTEx Biobank. The GTEx Portal provides open access to data including gene expression, QTLs, and histology images.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10823}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Gene expression","Regulation of gene expression","RNA sequencing","Whole genome sequencing","Histology","Quantitative trait loci"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":1729,"relation":"undefined"},{"licence_name":"GTEx Data Release and Publication Policy","licence_id":366,"licence_url":"https://gtexportal.org/home/documentationPage#staticTextPublicationPolicy","link_id":1728,"relation":"undefined"}],"grants":[{"id":3263,"fairsharing_record_id":2708,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:11.749Z","updated_at":"2021-09-30T09:32:22.748Z","grant_id":1592,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"Common Fund GTEx Grant","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3262,"fairsharing_record_id":2708,"organisation_id":2748,"relation":"maintains","created_at":"2021-09-30T09:26:11.725Z","updated_at":"2021-09-30T09:26:11.725Z","grant_id":null,"is_lead":true,"saved_state":{"id":2748,"name":"The Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02140, USA.","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2709","type":"fairsharing_records","attributes":{"created_at":"2018-11-19T10:39:03.000Z","updated_at":"2023-12-15T10:33:12.719Z","metadata":{"doi":"10.25504/FAIRsharing.KhTFtY","name":"YeastMine","status":"ready","contacts":[{"contact_email":"sgd-helpdesk@lists.stanford.edu"}],"homepage":"http://yeastmine.yeastgenome.org/yeastmine","citations":[],"identifier":2709,"description":"Search and retrieve S. cerevisiae data with YeastMine, populated by SGD and powered by InterMine.","abbreviation":"YeastMine","data_curation":{"url":"https://sites.google.com/view/yeastgenome-help/analyze-help/yeastmine","type":"manual"},"support_links":[{"url":"https://www.yeastgenome.org/suggestion","name":"SGD Contact Form","type":"Contact form"},{"url":"https://sites.google.com/view/yeastgenome-help/video-tutorials/yeastmine","name":"Video Tutorials","type":"Help documentation"},{"url":"https://sites.google.com/view/yeastgenome-help/analyze-help/yeastmine","name":"YeastMine Help","type":"Help documentation"},{"url":"https://yeastmine.yeastgenome.org/yeastmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/yeastmine-videos","name":"YeastMine videos","type":"TeSS links to training materials"}],"data_versioning":"yes","data_access_condition":{"url":"https://yeastmine.yeastgenome.org/yeastmine/begin.do","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001207","bsg-d001207"],"name":"FAIRsharing record for: YeastMine","abbreviation":"YeastMine","url":"https://fairsharing.org/10.25504/FAIRsharing.KhTFtY","doi":"10.25504/FAIRsharing.KhTFtY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Search and retrieve S. cerevisiae data with YeastMine, populated by SGD and powered by InterMine.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11679}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Life Science"],"domains":["Molecular function","Gene expression","Biological regulation","Molecular interaction","Protein","Homologous","Orthologous","Paralogous"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":603,"relation":"undefined"}],"grants":[{"id":3264,"fairsharing_record_id":2709,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:26:11.785Z","updated_at":"2021-09-30T09:26:11.785Z","grant_id":null,"is_lead":true,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2710","type":"fairsharing_records","attributes":{"created_at":"2018-11-19T10:48:50.000Z","updated_at":"2022-07-20T09:46:59.486Z","metadata":{"doi":"10.25504/FAIRsharing.59ZSlc","name":"ZebraFishMine","status":"deprecated","contacts":[],"homepage":"http://zebrafishmine.org/zfinmine/","citations":[],"identifier":2710,"description":"ZebrafishMine provides a variety of data, analysis and browsing of Zebrafish genomic information.","abbreviation":null,"data_curation":{},"support_links":[{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2022-06-29","deprecation_reason":"This resource has been superseded by the AllianceMine.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001208","bsg-d001208"],"name":"FAIRsharing record for: ZebraFishMine","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.59ZSlc","doi":"10.25504/FAIRsharing.59ZSlc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ZebrafishMine provides a variety of data, analysis and browsing of Zebrafish genomic information.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11680}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Reagent","Protein","Gene"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1698,"pubmed_id":31552413,"title":"Alliance of Genome Resources Portal: unified model organism research platform.","year":2019,"url":"http://doi.org/10.1093/nar/gkz813","authors":"Alliance of Genome Resources Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz813","created_at":"2021-09-30T08:25:30.300Z","updated_at":"2021-09-30T11:29:18.893Z"},{"id":2156,"pubmed_id":26097180,"title":"ZFIN, The zebrafish model organism database: Updates and new directions.","year":2015,"url":"http://doi.org/10.1002/dvg.22868","authors":"Ruzicka L,Bradford YM,Frazer K,Howe DG,Paddock H,Ramachandran S,Singer A,Toro S,Van Slyke CE,Eagle AE,Fashena D,Kalita P,Knight J,Mani P,Martin R,Moxon SA,Pich C,Schaper K,Shao X,Westerfield M","journal":"Genesis","doi":"10.1002/dvg.22868","created_at":"2021-09-30T08:26:23.074Z","updated_at":"2021-09-30T08:26:23.074Z"}],"licence_links":[],"grants":[{"id":9651,"fairsharing_record_id":2710,"organisation_id":1470,"relation":"maintains","created_at":"2022-06-29T14:46:50.751Z","updated_at":"2022-06-29T14:46:50.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":1470,"name":"InterMine, System Biology Centre, Cambridge, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3265,"fairsharing_record_id":2710,"organisation_id":3110,"relation":"maintains","created_at":"2021-09-30T09:26:11.808Z","updated_at":"2021-09-30T09:26:11.808Z","grant_id":null,"is_lead":true,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2713","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T10:50:12.000Z","updated_at":"2023-10-18T16:28:28.057Z","metadata":{"doi":"10.25504/FAIRsharing.Pupa1p","name":"PeanutMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org"}],"homepage":"https://mines.legumeinfo.org/peanutmine","citations":[],"identifier":2713,"description":"PeanutMine integrates peanut data from LIS PeanutBase and other sources.","abbreviation":"PeanutMine","data_curation":{"type":"not found"},"support_links":[{"url":"https://mines.legumeinfo.org/peanutmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-10-18","deprecation_reason":"This resource's homepage is no longer available and a suitable alternative cannot be found. Please get in touch if you have information relating to this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001211","bsg-d001211"],"name":"FAIRsharing record for: PeanutMine","abbreviation":"PeanutMine","url":"https://fairsharing.org/10.25504/FAIRsharing.Pupa1p","doi":"10.25504/FAIRsharing.Pupa1p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PeanutMine integrates peanut data from LIS PeanutBase and other sources.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11683}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Gene expression"],"taxonomies":["Arachis","Arachis duranensis","Arachis hypogaea"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":789,"relation":"undefined"}],"grants":[{"id":3270,"fairsharing_record_id":2713,"organisation_id":1963,"relation":"maintains","created_at":"2021-09-30T09:26:11.932Z","updated_at":"2021-09-30T09:26:11.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3271,"fairsharing_record_id":2713,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:11.958Z","updated_at":"2021-09-30T09:26:11.958Z","grant_id":null,"is_lead":false,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3272,"fairsharing_record_id":2713,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:11.982Z","updated_at":"2021-09-30T09:32:16.298Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2714","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T11:02:12.000Z","updated_at":"2023-06-14T11:06:30.731Z","metadata":{"doi":"10.25504/FAIRsharing.KoKgH7","name":"SoyMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org"}],"homepage":"https://mines.legumeinfo.org/soymine","citations":[],"identifier":2714,"description":"This mine integrates many types of data for soybean. It is currently under development by LIS, built from the LIS chado database (genomic data) and the SoyBase database (genetic data) as well as other resources. Please note that the homepage URL is no longer accessible, therefore we have marked the record as uncertain.","abbreviation":"SoyMine","data_curation":{},"support_links":[{"url":"https://mines.legumeinfo.org/soymine/dataCategories.do","name":"Data Source","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-06-14","deprecation_reason":"The resource homepage is unavailable, and a new project page cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001212","bsg-d001212"],"name":"FAIRsharing record for: SoyMine","abbreviation":"SoyMine","url":"https://fairsharing.org/10.25504/FAIRsharing.KoKgH7","doi":"10.25504/FAIRsharing.KoKgH7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This mine integrates many types of data for soybean. It is currently under development by LIS, built from the LIS chado database (genomic data) and the SoyBase database (genetic data) as well as other resources. Please note that the homepage URL is no longer accessible, therefore we have marked the record as uncertain.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11684}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics"],"domains":["Expression data","Gene functional annotation","Protein sequence identification","Transcript","Quantitative trait loci"],"taxonomies":["Glycine max"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1319,"relation":"undefined"}],"grants":[{"id":3275,"fairsharing_record_id":2714,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:12.058Z","updated_at":"2021-09-30T09:32:16.311Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3273,"fairsharing_record_id":2714,"organisation_id":1963,"relation":"maintains","created_at":"2021-09-30T09:26:12.008Z","updated_at":"2021-09-30T09:26:12.008Z","grant_id":null,"is_lead":true,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3274,"fairsharing_record_id":2714,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:12.032Z","updated_at":"2021-09-30T09:26:12.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2705","type":"fairsharing_records","attributes":{"created_at":"2018-11-15T14:46:13.000Z","updated_at":"2023-03-21T15:11:59.066Z","metadata":{"doi":"10.25504/FAIRsharing.TFhZ4P","name":"RatMine","status":"deprecated","contacts":[],"homepage":"http://ratmine.mcw.edu/ratmine/begin.do","citations":[],"identifier":2705,"description":"RatMine integrates many types of data for Rattus Norvegicus, Homo Sapiens, Mus Musculus and other organisms. You can run flexible queries, export results and analyse lists of data.","abbreviation":"RatMine","data_curation":{"type":"not found"},"support_links":[{"url":"http://ratmine.mcw.edu/ratmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001203","bsg-d001203"],"name":"FAIRsharing record for: RatMine","abbreviation":"RatMine","url":"https://fairsharing.org/10.25504/FAIRsharing.TFhZ4P","doi":"10.25504/FAIRsharing.TFhZ4P","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RatMine integrates many types of data for Rattus Norvegicus, Homo Sapiens, Mus Musculus and other organisms. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11677}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Comparative Genomics"],"domains":["Expression data","Molecular interaction","Homologous"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1246,"relation":"undefined"}],"grants":[{"id":3259,"fairsharing_record_id":2705,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:26:11.649Z","updated_at":"2021-09-30T09:26:11.649Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2706","type":"fairsharing_records","attributes":{"created_at":"2018-11-15T14:55:06.000Z","updated_at":"2023-06-23T15:08:18.649Z","metadata":{"doi":"10.25504/FAIRsharing.wmZz9V","name":"WormMine","status":"ready","contacts":[{"contact_email":"help@wormbase.org"}],"homepage":"http://intermine.wormbase.org/tools/wormmine/begin.do","identifier":2706,"description":"WormMine integrates many types of data for C. elegans and related nematodes. You can run flexible queries, export results and analyse lists of data.","abbreviation":"WormMine","data_curation":{"type":"not found"},"support_links":[{"url":"http://intermine.wormbase.org/tools/wormmine/dataCategories.do","name":"Data Sources","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001204","bsg-d001204"],"name":"FAIRsharing record for: WormMine","abbreviation":"WormMine","url":"https://fairsharing.org/10.25504/FAIRsharing.wmZz9V","doi":"10.25504/FAIRsharing.wmZz9V","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WormMine integrates many types of data for C. elegans and related nematodes. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11678}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Reagent","Gene expression","Phenotype","Protein"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":["genomic variation"],"countries":["Canada","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":428,"relation":"undefined"}],"grants":[{"id":3260,"fairsharing_record_id":2706,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:26:11.674Z","updated_at":"2021-09-30T09:26:11.674Z","grant_id":null,"is_lead":true,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2667","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T09:20:33.000Z","updated_at":"2023-12-15T10:32:10.608Z","metadata":{"doi":"10.25504/FAIRsharing.c55d5e","name":"GitHub","status":"ready","homepage":"https://github.com/","identifier":2667,"description":"GitHub Inc. is a Git-based software repository that provides version control. It offers all of the distributed version control and source code management (SCM) functionality of Git as well as adding its own features. It provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for each project. It provides a number of different access levels, from free through to paid services.","abbreviation":"GitHub","data_curation":{"url":"https://docs.github.com/en/contributing","type":"manual/automated","notes":"GitHub Style Guide"},"support_links":[{"url":"https://support.github.com/contact","name":"Contact Form and Help Pages","type":"Github"},{"url":"https://github.community/","name":"GitHub Support Community","type":"Github"},{"url":"https://help.github.com/","name":"Help","type":"Github"},{"url":"https://services.github.com/","name":"Services Listing","type":"Github"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/features/code-review/","name":"Code review"},{"url":"https://github.com/features/project-management/","name":"Project management"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010375","name":"re3data:r3d100010375","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002630","name":"SciCrunch:RRID:SCR_002630","portal":"SciCrunch"}],"data_access_condition":{"url":"https://docs.github.com/en/site-policy/privacy-policies/github-privacy-statement","type":"partially open","notes":"GitHub Privacy Statement"},"resource_sustainability":{"url":"https://github.blog/2020-11-16-standing-up-for-developers-youtube-dl-is-back/#developer-defense-fund","name":"GitHub Developer Defense Fund"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://github.com/customer-terms/github-data-protection-agreement","name":"GitHub Data Protection Agreement"},"data_deposition_condition":{"url":"https://docs.github.com/en/site-policy/github-terms/github-terms-of-service","type":"open","notes":"GitHub Terms of Service"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001160","bsg-d001160"],"name":"FAIRsharing record for: GitHub","abbreviation":"GitHub","url":"https://fairsharing.org/10.25504/FAIRsharing.c55d5e","doi":"10.25504/FAIRsharing.c55d5e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GitHub Inc. is a Git-based software repository that provides version control. It offers all of the distributed version control and source code management (SCM) functionality of Git as well as adding its own features. It provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for each project. It provides a number of different access levels, from free through to paid services.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14727}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Knowledge and Information Systems","Subject Agnostic","Software Engineering"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GitHub Privacy Statement","licence_id":347,"licence_url":"https://help.github.com/articles/github-privacy-statement/","link_id":1677,"relation":"undefined"},{"licence_name":"GitHub Terms of Service","licence_id":348,"licence_url":"https://help.github.com/articles/github-terms-of-service/","link_id":1663,"relation":"undefined"}],"grants":[{"id":3148,"fairsharing_record_id":2667,"organisation_id":1156,"relation":"maintains","created_at":"2021-09-30T09:26:08.272Z","updated_at":"2021-09-30T09:26:08.272Z","grant_id":null,"is_lead":true,"saved_state":{"id":1156,"name":"GitHub Incorporated, San Francisco, CA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2715","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T13:13:34.000Z","updated_at":"2023-10-18T16:28:04.979Z","metadata":{"doi":"10.25504/FAIRsharing.sDwGp9","name":"MedicMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org","contact_orcid":null}],"homepage":"https://mines.legumeinfo.org/medicmine/begin.do","citations":[],"identifier":2715,"description":"MedicMine integrates genomic data for medicago trucatula and Medicago sativa. You can run flexible queries, export results and analyse lists of genes.","abbreviation":"MedicMine","data_curation":{},"support_links":[{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"},{"url":"https://mines.legumeinfo.org/medicmine/dataCategories.do","name":"List of Data Sources","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2023-10-18","deprecation_reason":"This resource's homepage is no longer available and a suitable alternative cannot be found. Please get in touch if you have information relating to this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001213","bsg-d001213"],"name":"FAIRsharing record for: MedicMine","abbreviation":"MedicMine","url":"https://fairsharing.org/10.25504/FAIRsharing.sDwGp9","doi":"10.25504/FAIRsharing.sDwGp9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MedicMine integrates genomic data for medicago trucatula and Medicago sativa. You can run flexible queries, export results and analyse lists of genes.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11685}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Molecular function","Gene expression","Protein","Homologous"],"taxonomies":["Medicago sativa","Medicago truncatula"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":788,"relation":"undefined"}],"grants":[{"id":3276,"fairsharing_record_id":2715,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:26:12.082Z","updated_at":"2021-09-30T09:26:12.082Z","grant_id":null,"is_lead":true,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3277,"fairsharing_record_id":2715,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:12.108Z","updated_at":"2021-09-30T09:32:16.322Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--270898763d9ce46ce29f66c69d357147e2633e32/medicago.png?disposition=inline","exhaustive_licences":false}},{"id":"2722","type":"fairsharing_records","attributes":{"created_at":"2019-01-09T09:45:09.000Z","updated_at":"2022-07-20T12:29:16.168Z","metadata":{"doi":"10.25504/FAIRsharing.9vT2Wg","name":"BioCatalogue","status":"deprecated","contacts":[{"contact_name":"BioCatalogue Helpdesk","contact_email":"contact@biocatalogue.org"}],"homepage":"https://esciencelab.org.uk/products/biocatalogue/","citations":[{"doi":"10.1093/nar/gkq394","pubmed_id":20484378,"publication_id":483}],"identifier":2722,"description":"The BioCatalogue provided a common interface for registering, browsing and annotating Web Services to the Life Science community. Services in the BioCatalogue could be described and searched in multiple ways based upon their technical types, bioinformatics categories, user tags, service providers or data inputs and outputs. They were also subject to constant monitoring, allowing the identification of service problems and changes and the filtering-out of unavailable or unreliable resources. The system was accessible via a human-readable ‘Web 2.0’-style interface and a programmatic Web Service interface. The BioCatalogue followed a community approach in which all services can be registered, browsed and incrementally documented with annotations by any member of the scientific community.","abbreviation":"BioCatalogue","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.biocatalogue.org/contact","name":"BioCatalogue Contact Form","type":"Contact form"},{"url":"https://www.biocatalogue.org/stats","name":"Statistics","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"BioCatalogue was retired in September 2021","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001220","bsg-d001220"],"name":"FAIRsharing record for: BioCatalogue","abbreviation":"BioCatalogue","url":"https://fairsharing.org/10.25504/FAIRsharing.9vT2Wg","doi":"10.25504/FAIRsharing.9vT2Wg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioCatalogue provided a common interface for registering, browsing and annotating Web Services to the Life Science community. Services in the BioCatalogue could be described and searched in multiple ways based upon their technical types, bioinformatics categories, user tags, service providers or data inputs and outputs. They were also subject to constant monitoring, allowing the identification of service problems and changes and the filtering-out of unavailable or unreliable resources. The system was accessible via a human-readable ‘Web 2.0’-style interface and a programmatic Web Service interface. The BioCatalogue followed a community approach in which all services can be registered, browsed and incrementally documented with annotations by any member of the scientific community.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11408},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12150}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics"],"domains":["Web service"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":483,"pubmed_id":20484378,"title":"BioCatalogue: a universal catalogue of web services for the life sciences.","year":2010,"url":"http://doi.org/10.1093/nar/gkq394","authors":"Bhagat J,Tanoh F,Nzuobontane E,Laurent T,Orlowski J,Roos M,Wolstencroft K,Aleksejevs S,Stevens R,Pettifer S,Lopez R,Goble CA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq394","created_at":"2021-09-30T08:23:12.531Z","updated_at":"2021-09-30T11:28:46.700Z"}],"licence_links":[{"licence_name":"BioCatalogue BSD License","licence_id":76,"licence_url":"https://github.com/myGrid/biocatalogue/blob/master/license.txt","link_id":2352,"relation":"undefined"},{"licence_name":"BioCatalogue Terms of Use","licence_id":77,"licence_url":"https://www.biocatalogue.org/termsofuse","link_id":2350,"relation":"undefined"},{"licence_name":"Creative Commons (CC) Copyright-Only Dedication (based on United States law) or Public Domain Certification","licence_id":197,"licence_url":"https://creativecommons.org/licenses/publicdomain/","link_id":2351,"relation":"undefined"}],"grants":[{"id":3294,"fairsharing_record_id":2722,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:26:12.550Z","updated_at":"2021-09-30T09:26:12.550Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3293,"fairsharing_record_id":2722,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:12.524Z","updated_at":"2021-09-30T09:26:12.524Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3295,"fairsharing_record_id":2722,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:12.582Z","updated_at":"2021-09-30T09:30:40.740Z","grant_id":818,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/F01046X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8257,"fairsharing_record_id":2722,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:47.399Z","updated_at":"2021-09-30T09:31:47.460Z","grant_id":1327,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/F010540/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2723","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T10:01:33.000Z","updated_at":"2023-12-15T10:30:48.841Z","metadata":{"doi":"10.25504/FAIRsharing.m8AMNi","name":"Lichenized and Non-Lichenized Ascomycetes","status":"ready","contacts":[{"contact_name":"Dagmar Triebel","contact_email":"triebel@snsb.de"}],"homepage":"http://www.lias.net/","identifier":2723,"description":"LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been enlarged. LIAS light stores phenotypic trait data. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication.","abbreviation":"LIAS","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.lias.net/Descriptors/Definitions.html","name":"LIAS Descriptors","type":"Help documentation"},{"url":"http://www.lias.net/Descriptors/Listing.html","name":"LIAS Descriptors Master Forms","type":"Help documentation"},{"url":"http://www.lias.net/About/About.html","name":"About","type":"Help documentation"},{"url":"http://www.lias.net/","name":"Partners","type":"Help documentation"},{"url":"https://glossary.lias.net/wiki/","name":"LIAS glossary","type":"Help documentation"},{"url":"http://liaslight.lias.net/About/Impressum.html","name":"LIAS light editors and managers","type":"Help documentation"},{"url":"http://liasgtm.lias.net/gtm.php?p=doc\u0026c=gtm","name":"LIAS gtm documentation","type":"Help documentation"}],"year_creation":1993,"data_versioning":"no","associated_tools":[{"url":"http://www.navikey.net/","name":"NaviKey 5"},{"url":"http://liaslight.lias.net/","name":"LIAS light"},{"url":"http://liasgtm.lias.net/gtm.php","name":"LIAS gtm"},{"url":"http://liasnames.lias.net/","name":"LIAS names"},{"url":"https://diversityworkbench.net/Portal/DiversityDescriptions","name":"DiversityDescriptions"},{"url":"https://diversityworkbench.net/Portal/DiversityTaxonNames","name":"DiversityTaxonNames"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011872","name":"re3data:r3d100011872","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.lias.net/","type":"not applicable","notes":"Users can participate by doing taxonomic curation"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001221","bsg-d001221"],"name":"FAIRsharing record for: Lichenized and Non-Lichenized Ascomycetes","abbreviation":"LIAS","url":"https://fairsharing.org/10.25504/FAIRsharing.m8AMNi","doi":"10.25504/FAIRsharing.m8AMNi","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been enlarged. LIAS light stores phenotypic trait data. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Biodiversity","Life Science"],"domains":["Taxonomic classification","Geographical location","Phenotype"],"taxonomies":["Ascomycota","Fungi"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Germany"],"publications":[{"id":2384,"pubmed_id":null,"title":"LIAS light – Towards the ten thousand species milestone","year":2014,"url":"https://mycokeys.pensoft.net/article/1203/list/8/","authors":"Rambold, G., Elix, J.A., Heindl-Tenhunen, B., Köhler, T., Nash, T.H. III, Neubacher, D., Reichert, W., Zedda, L. \u0026 Triebel, D.","journal":"MycoKeys 8: 11-16","doi":null,"created_at":"2021-09-30T08:26:52.892Z","updated_at":"2021-09-30T08:26:52.892Z"},{"id":2385,"pubmed_id":null,"title":"Geographic heat maps of lichen traits derived by combining LIAS light description and GBIF occurrence data, provided on a new platform","year":2016,"url":"https://link.springer.com/article/10.1007/s10531-016-1199-2","authors":"Rambold, G., Zedda, L., Coyle, J., Peršoh, D., Köhler, T. \u0026 Triebel","journal":"Biodivers. \u0026 Conservation 25(13): 2743-2751","doi":null,"created_at":"2021-09-30T08:26:53.002Z","updated_at":"2021-09-30T08:26:53.002Z"},{"id":2399,"pubmed_id":null,"title":"LIAS - an interactive database system for structured descriptive data of Ascomycetes. (in: Biodiversity Databases: Techniques, Politics, and Applications. Chapter 8. )","year":2007,"url":"https://www.researchgate.net/publication/215823237_Chapter_8_LIAS_-_an_interactive_database_system_for_structured_descriptive_data_of_Ascomycetes","authors":"Triebel, D., Peršoh, D., Nash, T.H. III, Zedda, L. \u0026 Rambold, G.","journal":"Syst. Assoc. Special Vol. 73: 99-110","doi":null,"created_at":"2021-09-30T08:26:54.560Z","updated_at":"2021-09-30T11:28:35.678Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":2347,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2349,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":2361,"relation":"undefined"}],"grants":[{"id":3296,"fairsharing_record_id":2723,"organisation_id":3019,"relation":"maintains","created_at":"2021-09-30T09:26:12.607Z","updated_at":"2021-09-30T09:26:12.607Z","grant_id":null,"is_lead":true,"saved_state":{"id":3019,"name":"University of Bayreuth","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3298,"fairsharing_record_id":2723,"organisation_id":174,"relation":"maintains","created_at":"2021-09-30T09:26:12.659Z","updated_at":"2021-09-30T09:26:12.659Z","grant_id":null,"is_lead":true,"saved_state":{"id":174,"name":"Bavarian Natural History Collections, SNSB IT Center, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3299,"fairsharing_record_id":2723,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:12.683Z","updated_at":"2021-09-30T09:26:12.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9341,"fairsharing_record_id":2723,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.660Z","updated_at":"2022-04-11T12:07:31.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2724","type":"fairsharing_records","attributes":{"created_at":"2018-12-10T14:26:41.000Z","updated_at":"2023-12-15T10:32:53.792Z","metadata":{"doi":"10.25504/FAIRsharing.l0p1Oi","name":"Beilstein Archives","status":"ready","contacts":[{"contact_name":"Wendy Patterson","contact_email":"wpatterson@beilstein-institut.de"}],"homepage":"https://www.beilstein-archives.org/xiv/","identifier":2724,"description":"This repository is currently limited to preprints related to the Beilstein Journal of Nanotechnology and the Beilstein Journal of Organic Chemistry. All preprints are posted with a CC-BY 4.0 license.","abbreviation":null,"data_curation":{"type":"none"},"year_creation":2019,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.beilstein-archives.org/xiv/submission","type":"open","notes":"Only preprints that are submitted as manuscripts to the Beilstein Journal of Organic Chemistry or the Beilstein Journal of Nanotechnology can be submited."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001222","bsg-d001222"],"name":"FAIRsharing record for: Beilstein Archives","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.l0p1Oi","doi":"10.25504/FAIRsharing.l0p1Oi","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This repository is currently limited to preprints related to the Beilstein Journal of Nanotechnology and the Beilstein Journal of Organic Chemistry. All preprints are posted with a CC-BY 4.0 license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Organic Chemistry","Nanotechnology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["preprints"],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":3300,"fairsharing_record_id":2724,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:26:12.708Z","updated_at":"2021-09-30T09:26:12.708Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2725","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T10:18:51.000Z","updated_at":"2023-12-15T10:32:18.434Z","metadata":{"doi":"10.25504/FAIRsharing.xfUA7e","name":"Determination of Ectomycorrhizae","status":"ready","contacts":[{"contact_name":"Dagmar Triebel","contact_email":"triebel@snsb.de"}],"homepage":"http://www.deemy.de/","citations":[{"doi":"https://doi.org/10.1007/s005720050171","publication_id":2074}],"identifier":2725,"description":"DEEMY collects descriptive data on ectomycorrhizae, including extant character descriptions and definitions. Ectomycorrhizae are mutualistic structures formed by fungi and the roots of forest trees. They are predominantly found in the temperate and boreal climate zones but occur also in humid tropic regions, as well as in soils of poor nutrition. Without mycorrhizae, trees would not be able to take up water and minerals. Ectomycorrhizae show a wide range of anatomical diversity which represents their possible function in tree nutrition and ecology. Their anatomical data, in general, allow a quick determination and provide at the same time ecologically important information about possible functions for tree nutrition.","abbreviation":"DEEMY","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.deemy.de/About/About.html","name":"About","type":"Help documentation"},{"url":"http://www.deemy.de/About/Impressum.cfm","name":"DEEMY Imprint","type":"Help documentation"}],"year_creation":1996,"data_versioning":"no","associated_tools":[{"url":"http://www.navikey.net/","name":"NaviKey 5"},{"url":"http://www.deemy.de/Identification/Navikey/index.html","name":"DEEMY Identification"},{"url":"https://diversityworkbench.net/Portal/DiversityDescriptions","name":"DiversityDescriptions"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012561","name":"re3data:r3d100012561","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001223","bsg-d001223"],"name":"FAIRsharing record for: Determination of Ectomycorrhizae","abbreviation":"DEEMY","url":"https://fairsharing.org/10.25504/FAIRsharing.xfUA7e","doi":"10.25504/FAIRsharing.xfUA7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DEEMY collects descriptive data on ectomycorrhizae, including extant character descriptions and definitions. Ectomycorrhizae are mutualistic structures formed by fungi and the roots of forest trees. They are predominantly found in the temperate and boreal climate zones but occur also in humid tropic regions, as well as in soils of poor nutrition. Without mycorrhizae, trees would not be able to take up water and minerals. Ectomycorrhizae show a wide range of anatomical diversity which represents their possible function in tree nutrition and ecology. Their anatomical data, in general, allow a quick determination and provide at the same time ecologically important information about possible functions for tree nutrition.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Life Science","Plant Anatomy"],"domains":["Phenotype"],"taxonomies":["Fungi","Viridiplantae"],"user_defined_tags":["Ectomycorrhizae","Plant Phenotypes and Traits"],"countries":["Germany"],"publications":[{"id":2074,"pubmed_id":null,"title":"DEEMY – the concept of a characterization and determination system for ectomycorrhizae","year":1997,"url":"http://doi.org/https://doi.org/10.1007/s005720050171","authors":"Rambold, G., Agerer, R.","journal":"Mycorrhiza 7: 113-116","doi":"https://doi.org/10.1007/s005720050171","created_at":"2021-09-30T08:26:13.831Z","updated_at":"2021-09-30T08:26:13.831Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":1455,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1456,"relation":"undefined"}],"grants":[{"id":3303,"fairsharing_record_id":2725,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:12.784Z","updated_at":"2021-09-30T09:26:12.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3306,"fairsharing_record_id":2725,"organisation_id":2582,"relation":"maintains","created_at":"2021-09-30T09:26:12.858Z","updated_at":"2021-09-30T09:26:12.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":2582,"name":"SNSB, Botanische Staatssammlung Muenchen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3302,"fairsharing_record_id":2725,"organisation_id":174,"relation":"maintains","created_at":"2021-09-30T09:26:12.758Z","updated_at":"2021-09-30T09:26:12.758Z","grant_id":null,"is_lead":true,"saved_state":{"id":174,"name":"Bavarian Natural History Collections, SNSB IT Center, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3304,"fairsharing_record_id":2725,"organisation_id":1731,"relation":"maintains","created_at":"2021-09-30T09:26:12.808Z","updated_at":"2021-09-30T09:26:12.808Z","grant_id":null,"is_lead":true,"saved_state":{"id":1731,"name":"Ludwig-Maximilians- University Munich, Faculty of Biology, Department I, Munich, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3305,"fairsharing_record_id":2725,"organisation_id":3020,"relation":"maintains","created_at":"2021-09-30T09:26:12.834Z","updated_at":"2021-09-30T09:26:12.834Z","grant_id":null,"is_lead":true,"saved_state":{"id":3020,"name":"University of Bayreuth, Department of Mycology, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9358,"fairsharing_record_id":2725,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.852Z","updated_at":"2022-04-11T12:07:32.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2726","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T14:01:28.000Z","updated_at":"2024-07-09T12:51:55.762Z","metadata":{"doi":"10.25504/FAIRsharing.oAJNHO","name":"An INtegrated Data warehouse of mIcrobial GenOmes","status":"deprecated","contacts":[{"contact_name":"Intikhab Alam","contact_email":"intikhab.alam@kaust.edu.sa"}],"homepage":"http://www.cbrc.kaust.edu.sa/indigo","citations":[{"doi":"10.1371/journal.pone.0082210","pubmed_id":24324765,"publication_id":2493}],"identifier":2726,"description":"INDIGO enables the integration of annotations for the exploration and analysis of newly sequenced microbial genomes.","abbreviation":"INDIGO","data_curation":{"url":"https://www.cbrc.kaust.edu.sa/indigo/dataCategories.do","type":"automated","notes":"List of the different data sources where the data was downloaded"},"support_links":[{"url":"http://www.cbrc.kaust.edu.sa/indigo/team.do","name":"INDIGO Team","type":"Help documentation"},{"url":"http://www.cbrc.kaust.edu.sa/indigo/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://www.cbrc.kaust.edu.sa/indigo/blast.do","name":"BLAST Interface to INDIGO"}],"deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001224","bsg-d001224"],"name":"FAIRsharing record for: An INtegrated Data warehouse of mIcrobial GenOmes","abbreviation":"INDIGO","url":"https://fairsharing.org/10.25504/FAIRsharing.oAJNHO","doi":"10.25504/FAIRsharing.oAJNHO","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: INDIGO enables the integration of annotations for the exploration and analysis of newly sequenced microbial genomes.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11689},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12824}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Integration","Genomics","Life Science","Microbiology"],"domains":["Genome annotation","Gene","Genome"],"taxonomies":["Haloplasma contractile","Halorhabdus tiamatea","Salinisphaera shabanensis"],"user_defined_tags":[],"countries":["Saudi Arabia"],"publications":[{"id":2493,"pubmed_id":24324765,"title":"INDIGO - INtegrated data warehouse of microbial genomes with examples from the red sea extremophiles.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0082210","authors":"Alam I,Antunes A,Kamau AA,Ba Alawi W,Kalkatawi M,Stingl U,Bajic VB","journal":"PLoS One","doi":"10.1371/journal.pone.0082210","created_at":"2021-09-30T08:27:05.745Z","updated_at":"2021-09-30T08:27:05.745Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1475,"relation":"undefined"}],"grants":[{"id":3307,"fairsharing_record_id":2726,"organisation_id":583,"relation":"maintains","created_at":"2021-09-30T09:26:12.884Z","updated_at":"2021-09-30T09:26:12.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":583,"name":"Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Saudi Arabia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3308,"fairsharing_record_id":2726,"organisation_id":2411,"relation":"maintains","created_at":"2021-09-30T09:26:12.917Z","updated_at":"2021-09-30T09:26:12.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":2411,"name":"Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Saudi Arabia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2740","type":"fairsharing_records","attributes":{"created_at":"2018-12-14T11:25:18.000Z","updated_at":"2024-06-11T10:26:54.354Z","metadata":{"doi":"10.25504/FAIRsharing.blUMRx","name":"Genome-Wide Association Studies Catalog","status":"ready","contacts":[{"contact_name":"GWAS Catalog Helpdesk","contact_email":"gwas-info@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/gwas/","citations":[{"doi":"10.1093/nar/gky1120","pubmed_id":30445434,"publication_id":2761}],"identifier":2740,"description":"The Genome-Wide Association Studies (GWAS) Catalog provides a consistent, searchable, visualisable and freely available database of published SNP-trait associations, which can be easily integrated with other resources, and is accessed by scientists, clinicians and other users worldwide. Within the Catalog, all eligible GWA studies are identified by literature search and assessed by curators, who then extract the reported trait, significant SNP-trait associations, and sample metadata. The Catalog also publishes a GWAS diagram of SNP-trait associations, mapped onto the human genome by chromosomal location and displayed on the human karyotype. Since 2010, delivery and development of the Catalog has been a collaborative project between the EMBL-EBI and NHGRI. Since 2108 we have accepted statistics files for eligible publications, these can be submitted prior to publication. https://www.ebi.ac.uk/gwas/deposition","abbreviation":"GWAS Catalog","data_curation":{"url":"https://www.ebi.ac.uk/gwas/docs/about","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/gwas/docs/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/gwas/docs/about","name":"About the GWAS Catalog","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/downloads/summary-statistics","name":"Summary Statistics","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/docs","name":"Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/ancestry","name":"Ancestry Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/docs/related-resources","name":"GWAS Training Materials","type":"Training documentation"},{"url":"https://twitter.com/GWASCatalog","name":"@GWASCatalog","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/gwas/diagram","name":"GWAS Diagram"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100014209","name":"re3data:r3d100014209","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012745","name":"SciCrunch:RRID:SCR_012745","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/gwas/deposition","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001238","bsg-d001238"],"name":"FAIRsharing record for: Genome-Wide Association Studies Catalog","abbreviation":"GWAS Catalog","url":"https://fairsharing.org/10.25504/FAIRsharing.blUMRx","doi":"10.25504/FAIRsharing.blUMRx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome-Wide Association Studies (GWAS) Catalog provides a consistent, searchable, visualisable and freely available database of published SNP-trait associations, which can be easily integrated with other resources, and is accessed by scientists, clinicians and other users worldwide. Within the Catalog, all eligible GWA studies are identified by literature search and assessed by curators, who then extract the reported trait, significant SNP-trait associations, and sample metadata. The Catalog also publishes a GWAS diagram of SNP-trait associations, mapped onto the human genome by chromosomal location and displayed on the human karyotype. Since 2010, delivery and development of the Catalog has been a collaborative project between the EMBL-EBI and NHGRI. Since 2108 we have accepted statistics files for eligible publications, these can be submitted prior to publication. https://www.ebi.ac.uk/gwas/deposition","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12830},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16199},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20007}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Comparative Genomics"],"domains":["Single nucleotide polymorphism","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":2465,"pubmed_id":27899670,"title":"The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog).","year":2016,"url":"http://doi.org/10.1093/nar/gkw1133","authors":"MacArthur J,Bowler E,Cerezo M,Gil L,Hall P,Hastings E,Junkins H,McMahon A,Milano A,Morales J,Pendlington ZM,Welter D,Burdett T,Hindorff L,Flicek P,Cunningham F,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1133","created_at":"2021-09-30T08:27:02.266Z","updated_at":"2021-09-30T11:29:36.844Z"},{"id":2761,"pubmed_id":30445434,"title":"The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky1120","authors":"Buniello A,MacArthur JAL,Cerezo M,Harris LW,Hayhurst J,Malangone C,McMahon A,Morales J,Mountjoy E,Sollis E,Suveges D,Vrousgou O,Whetzel PL,Amode R,Guillen JA,Riat HS,Trevanion SJ,Hall P,Junkins H,Flicek P,Burdett T,Hindorff LA,Cunningham F,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1120","created_at":"2021-09-30T08:27:39.385Z","updated_at":"2021-09-30T11:29:43.029Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1062,"relation":"undefined"}],"grants":[{"id":3335,"fairsharing_record_id":2740,"organisation_id":1998,"relation":"maintains","created_at":"2021-09-30T09:26:13.824Z","updated_at":"2021-09-30T09:26:13.824Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3333,"fairsharing_record_id":2740,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:13.777Z","updated_at":"2021-09-30T09:26:13.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3334,"fairsharing_record_id":2740,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:13.800Z","updated_at":"2021-09-30T09:31:19.875Z","grant_id":1122,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"2U41HG007823","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbElEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--72e2f2f3bb293cbdff6fc39b366ebe218970f802/GWAS_Cat_loho.jpeg?disposition=inline","exhaustive_licences":false}},{"id":"2741","type":"fairsharing_records","attributes":{"created_at":"2018-12-14T12:15:28.000Z","updated_at":"2023-05-05T10:57:21.692Z","metadata":{"doi":"10.25504/FAIRsharing.33269d","name":"Human Transcriptional Regulation Interactions database","status":"deprecated","contacts":[{"contact_name":"Ney Lemke","contact_email":"ney.lemke@unesp.br","contact_orcid":null}],"homepage":"http://www.lbbc.ibb.unesp.br/htri/index.jsp","citations":[{"doi":"10.1186/1471-2164-13-405","pubmed_id":22900683,"publication_id":2487}],"identifier":2741,"description":"The Human Transcriptional Regulation Interactions database (HTRIdb) is a repository of experimentally verified interactions among human transcription factors (TFs) and their respective target genes. It has been constructed to be an open-access and user-friendly database from which data on regulatory interactions among human TFs and their respective target genes can be easily extracted and then used, among other purposes, for building a global or a biological process-specific network of human transcriptional regulation interactions.","abbreviation":"HTRIdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.lbbc.ibb.unesp.br/htri/ava.jsp?f=n","name":"Contact Form","type":"Contact form"},{"url":"http://www.lbbc.ibb.unesp.br/htri/statistics.jsp","name":"Statistics","type":"Help documentation"},{"url":"http://www.lbbc.ibb.unesp.br/htri/tutorial.jsp","name":"Tutorial","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001239","bsg-d001239"],"name":"FAIRsharing record for: Human Transcriptional Regulation Interactions database","abbreviation":"HTRIdb","url":"https://fairsharing.org/10.25504/FAIRsharing.33269d","doi":"10.25504/FAIRsharing.33269d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Transcriptional Regulation Interactions database (HTRIdb) is a repository of experimentally verified interactions among human transcription factors (TFs) and their respective target genes. It has been constructed to be an open-access and user-friendly database from which data on regulatory interactions among human TFs and their respective target genes can be easily extracted and then used, among other purposes, for building a global or a biological process-specific network of human transcriptional regulation interactions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12831}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science"],"domains":["Experimental measurement","Regulation of gene expression","Biological regulation","Molecular interaction","Transcription factor","Experimentally determined","Regulatory region","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Brazil"],"publications":[{"id":2487,"pubmed_id":22900683,"title":"HTRIdb: an open-access database for experimentally verified human transcriptional regulation interactions.","year":2012,"url":"http://doi.org/10.1186/1471-2164-13-405","authors":"Bovolenta LA,Acencio ML,Lemke N","journal":"BMC Genomics","doi":"10.1186/1471-2164-13-405","created_at":"2021-09-30T08:27:04.930Z","updated_at":"2021-09-30T08:27:04.930Z"}],"licence_links":[],"grants":[{"id":3336,"fairsharing_record_id":2741,"organisation_id":1666,"relation":"maintains","created_at":"2021-09-30T09:26:13.850Z","updated_at":"2021-09-30T09:26:13.850Z","grant_id":null,"is_lead":true,"saved_state":{"id":1666,"name":"Laboratorio de Bioinformatica e Biofisica Computacional, Departamento de Fisica e Biofisica, Instituto de Biociencias de Botucatu, Brazil","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2742","type":"fairsharing_records","attributes":{"created_at":"2018-12-14T13:50:55.000Z","updated_at":"2023-12-15T10:31:33.539Z","metadata":{"doi":"10.25504/FAIRsharing.c7edd8","name":"Human Genetic Variation Database","status":"ready","contacts":[{"contact_name":"HGVD Helpdesk","contact_email":"hgvd@genome.med.kyoto-u.ac.jp"}],"homepage":"http://www.hgvd.genome.med.kyoto-u.ac.jp/","citations":[{"doi":"10.1038/jhg.2016.12","pubmed_id":26911352,"publication_id":2503}],"identifier":2742,"description":"The Human Genetic Variation Database (HGVD) aims to provide a central resource to archive and display Japanese genetic variation and association between the variation and transcription level of genes. The database currently contains genetic variations determined by exome sequencing of 1,208 individuals and genotyping data of common variations obtained from a cohort of 3,248 individuals. The HGVD browser can be used to view allele and genotype frequencies, number of samples, coverages, and expression QTL (eQTL) significances.","abbreviation":"HGVD","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/manual.html","name":"HGVD User Manual","type":"Help documentation"},{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/about.html","name":"About HGVD","type":"Help documentation"},{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/statistics.html","name":"HGVD Statistics","type":"Help documentation"},{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/link.html","name":"Associated Links","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012433","name":"re3data:r3d100012433","portal":"re3data"}],"data_access_condition":{"url":"https://www.hgvd.genome.med.kyoto-u.ac.jp/repository.html","type":"partially open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001240","bsg-d001240"],"name":"FAIRsharing record for: Human Genetic Variation Database","abbreviation":"HGVD","url":"https://fairsharing.org/10.25504/FAIRsharing.c7edd8","doi":"10.25504/FAIRsharing.c7edd8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Genetic Variation Database (HGVD) aims to provide a central resource to archive and display Japanese genetic variation and association between the variation and transcription level of genes. The database currently contains genetic variations determined by exome sequencing of 1,208 individuals and genotyping data of common variations obtained from a cohort of 3,248 individuals. The HGVD browser can be used to view allele and genotype frequencies, number of samples, coverages, and expression QTL (eQTL) significances.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12832}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science","Comparative Genomics"],"domains":["Genome visualization","Transcript","Gene","Quantitative trait loci","Genome","Sequence variant"],"taxonomies":["Homo sapiens"],"user_defined_tags":["genomic variation"],"countries":["Japan"],"publications":[{"id":2503,"pubmed_id":26911352,"title":"Human genetic variation database, a reference database of genetic variations in the Japanese population.","year":2016,"url":"http://doi.org/10.1038/jhg.2016.12","authors":"Higasa K,Miyake N,Yoshimura J,Okamura K,Niihori T,Saitsu H,Doi K,Shimizu M,Nakabayashi K,Aoki Y,Tsurusaki Y,Morishita S,Kawaguchi T,Migita O,Nakayama K,Nakashima M,Mitsui J,Narahara M,Hayashi K,Funayama R,Yamaguchi D,Ishiura H,Ko WY,Hata K,Nagashima T,Yamada R,Matsubara Y,Umezawa A,Tsuji S,Matsumoto N,Matsuda F","journal":"J Hum Genet","doi":"10.1038/jhg.2016.12","created_at":"2021-09-30T08:27:07.213Z","updated_at":"2021-09-30T08:27:07.213Z"}],"licence_links":[{"licence_name":"HGVD Terms of Use","licence_id":391,"licence_url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/about.html","link_id":1321,"relation":"undefined"}],"grants":[{"id":3337,"fairsharing_record_id":2742,"organisation_id":1654,"relation":"maintains","created_at":"2021-09-30T09:26:13.877Z","updated_at":"2021-09-30T09:26:13.877Z","grant_id":null,"is_lead":true,"saved_state":{"id":1654,"name":"Kyoto University, Kyoto, Japan","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3338,"fairsharing_record_id":2742,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:26:13.900Z","updated_at":"2021-09-30T09:32:21.486Z","grant_id":1583,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","grant":"Research Grant (201238002A) for Intractable Diseases","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2727","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T14:24:21.000Z","updated_at":"2023-06-22T18:01:06.049Z","metadata":{"doi":"10.25504/FAIRsharing.w7Yuyx","name":"PhytoMine","status":"ready","homepage":"https://phytozome.jgi.doe.gov/phytomine/","identifier":2727,"description":"An InterMine interface to data from Phytozome","abbreviation":"PhytoMine","data_curation":{"url":"https://phytozome-next.jgi.doe.gov/phytomine/begin.do","type":"manual/automated","notes":"Data generated from automatic pipelines but also from members of the community"},"support_links":[{"url":"https://phytozome.jgi.doe.gov/intermine/start.html","name":"PhytoMine Help Pages","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001225","bsg-d001225"],"name":"FAIRsharing record for: PhytoMine","abbreviation":"PhytoMine","url":"https://fairsharing.org/10.25504/FAIRsharing.w7Yuyx","doi":"10.25504/FAIRsharing.w7Yuyx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An InterMine interface to data from Phytozome","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11690},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12825}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["Expression data","Gene expression","Protein","Transcript","Amino acid sequence","Orthologous","Paralogous"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1248,"relation":"undefined"}],"grants":[{"id":3309,"fairsharing_record_id":2727,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:26:12.942Z","updated_at":"2021-09-30T09:26:12.942Z","grant_id":null,"is_lead":true,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2728","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T14:45:28.000Z","updated_at":"2023-11-21T13:45:50.126Z","metadata":{"doi":"10.25504/FAIRsharing.84Ltoq","name":"PlanMine","status":"ready","contacts":[{"contact_name":"Jochen C Rink","contact_email":"rink@mpi-cbg.de"},{"contact_name":"General Contact","contact_email":"planmine@mpibpc.mpg.de","contact_orcid":null}],"homepage":"http://planmine.mpibpc.mpg.de/planmine/begin.do","citations":[{"doi":"10.1093/nar/gky1070","pubmed_id":30496475,"publication_id":2368}],"identifier":2728,"description":"PlanMine is an integrated web resource of data \u0026 tools to mine Planarian biology. Transcriptomes and the genome of the planarian model species S. mediterranea are available, as well as transcriptomes of “wild” planarian species and a broad range of parasitic and non-parasitic flatworms for comparative analysis. PlanMine can be searched by sequence (using BLAST) or by annotation. Mineable information includes BLAST homologies, GO-terms, orthologues in other planarian species, gene expression information and taxonomic information on the represented species.","abbreviation":"PlanMine","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgky1070","type":"automated"},"support_links":[{"url":"https://planmine.mpibpc.mpg.de/planmine/user_guide.html","name":"PlanMine User Guide","type":"Help documentation"},{"url":"https://groups.google.com/forum/#!forum/planmine-news","name":"PlanMine News","type":"Help documentation"},{"url":"https://planmine.mpibpc.mpg.de/planmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://planmine.mpibpc.mpg.de/planmine/community.do#ad-image-0","name":"Community","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"https://planmine.mpibpc.mpg.de/planmine/blast.do","name":"BLAST for PlanMine"},{"url":"https://planmine.mpibpc.mpg.de/planmine/genome.do","name":"UCSC Genome Browser View"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://planmine.mpibpc.mpg.de/planmine/user_guide.html#submit-data-to-planmine","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001226","bsg-d001226"],"name":"FAIRsharing record for: PlanMine","abbreviation":"PlanMine","url":"https://fairsharing.org/10.25504/FAIRsharing.84Ltoq","doi":"10.25504/FAIRsharing.84Ltoq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PlanMine is an integrated web resource of data \u0026 tools to mine Planarian biology. Transcriptomes and the genome of the planarian model species S. mediterranea are available, as well as transcriptomes of “wild” planarian species and a broad range of parasitic and non-parasitic flatworms for comparative analysis. PlanMine can be searched by sequence (using BLAST) or by annotation. Mineable information includes BLAST homologies, GO-terms, orthologues in other planarian species, gene expression information and taxonomic information on the represented species.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11691}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Contig","Transcript","Gene"],"taxonomies":["Bothrioplana semperi","Dendrocoelum lacteum","Dugesia japonica","Echinococcus granulosus","Echinococcus multilocularis","Geocentrophora applanata","Gnosonesimida sp. IV CEL-2015","Hymenolepis microstoma","Kronborgia cf. amphipodicola CEL-2017","Macrostomum lignano","Microstomum lineare","Planaria torva","Polycelis nigra","Polycelis tenuis","Prorhynchus alpinus","Prostheceraeus vittatus","Protomonotresidae sp. n. CEL-2015","Rhychomesostoma rostratum","Schistosoma mansoni","Schmidtea mediterranea","Schmidtea mediterranea S2F2","Schmidtea polychroa","Stylochus ellipticus","Taenia solium"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2368,"pubmed_id":30496475,"title":"PlanMine 3.0-improvements to a mineable resource of flatworm biology and biodiversity.","year":2018,"url":"http://doi.org/10.1093/nar/gky1070","authors":"Rozanski A,Moon H,Brandl H,Martin-Duran JM,Grohme MA,Huttner K,Bartscherer K,Henry I,Rink JC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1070","created_at":"2021-09-30T08:26:51.167Z","updated_at":"2021-09-30T11:29:34.211Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":784,"relation":"undefined"}],"grants":[{"id":3310,"fairsharing_record_id":2728,"organisation_id":1796,"relation":"maintains","created_at":"2021-09-30T09:26:12.966Z","updated_at":"2021-09-30T09:26:12.966Z","grant_id":null,"is_lead":true,"saved_state":{"id":1796,"name":"Max Plank Institute of Molecular Cell Biology and Genetics (MPI-CBG), Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3311,"fairsharing_record_id":2728,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:12.992Z","updated_at":"2021-09-30T09:32:21.130Z","grant_id":1580,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"European Union's Horizon 2020 (grant agreement number 649024)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaG9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--986c01ceeba724469426734ed2d4fc490a4e65ca/planmine.png?disposition=inline","exhaustive_licences":false}},{"id":"2737","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T12:58:53.000Z","updated_at":"2023-12-15T10:33:05.666Z","metadata":{"doi":"10.25504/FAIRsharing.4Vs9VM","name":"The International Genome Sample Resource","status":"ready","contacts":[{"contact_name":"General Information","contact_email":"info@1000genomes.org"}],"homepage":"https://www.internationalgenome.org/","citations":[{"doi":"10.1093/nar/gkz836","pubmed_id":31584097,"publication_id":2779}],"identifier":2737,"description":"The International Genome Sample Resource (IGSR) was established to ensure the ongoing usability of data generated by the 1000 Genomes Project and to extend the data set. The 1000 Genomes Project ran between 2008 and 2015, creating the largest public catalogue of human variation and genotype data. As the project ended, the Data Coordination Centre at EMBL-EBI has received continued funding from the Wellcome Trust to maintain and expand the resource. IGSR was set up to do this and has the following aims: ensure the future access to and usability of the 1000 Genomes reference data; incorporate additional published genomic data on the 1000 Genomes samples; and expand the data collection to include new populations not represented in the 1000 Genomes Project.","abbreviation":"IGSR","data_curation":{"type":"not found"},"support_links":[{"url":"info@1000genomes.org","name":"Email helpdesk","type":"Support email"},{"url":"https://www.internationalgenome.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.internationalgenome.org/1000-genomes-browsers","name":"How To Access IGSR via Genome Browsers","type":"Help documentation"},{"url":"https://www.internationalgenome.org/about","name":"About IGSR","type":"Help documentation"},{"url":"https://www.internationalgenome.org/sample_collection_principles","name":"Sample Collection Principles","type":"Help documentation"},{"url":"https://www.internationalgenome.org/tools","name":"Software Used","type":"Help documentation"},{"url":"https://www.internationalgenome.org/data#download","name":"How to Download Data","type":"Help documentation"},{"url":"https://www.internationalgenome.org/announcements","name":"Announcements","type":"Help documentation"},{"url":"https://www.internationalgenome.org/data","name":"Using Data","type":"Help documentation"},{"url":"https://www.internationalgenome.org/formats","name":"Supported File Formats","type":"Help documentation"},{"url":"https://www.internationalgenome.org/analysis","name":"Analysis Pipeline","type":"Help documentation"},{"url":"https://twitter.com/1000genomes","name":"@1000genomes","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"http://grch37.ensembl.org/info/docs/tools/index.html","name":"Ensembl tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010180","name":"re3data:r3d100010180","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006828","name":"SciCrunch:RRID:SCR_006828","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.internationalgenome.org/data-portal/sample","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001235","bsg-d001235"],"name":"FAIRsharing record for: The International Genome Sample Resource","abbreviation":"IGSR","url":"https://fairsharing.org/10.25504/FAIRsharing.4Vs9VM","doi":"10.25504/FAIRsharing.4Vs9VM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Genome Sample Resource (IGSR) was established to ensure the ongoing usability of data generated by the 1000 Genomes Project and to extend the data set. The 1000 Genomes Project ran between 2008 and 2015, creating the largest public catalogue of human variation and genotype data. As the project ended, the Data Coordination Centre at EMBL-EBI has received continued funding from the Wellcome Trust to maintain and expand the resource. IGSR was set up to do this and has the following aims: ensure the future access to and usability of the 1000 Genomes reference data; incorporate additional published genomic data on the 1000 Genomes samples; and expand the data collection to include new populations not represented in the 1000 Genomes Project.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12829}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Comparative Genomics"],"domains":["Genome visualization","Genome","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["genomic variation"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2496,"pubmed_id":26432245,"title":"A global reference for human genetic variation.","year":2015,"url":"http://doi.org/10.1038/nature15393","authors":"Auton A,Brooks LD,Durbin RM,Garrison EP,Kang HM,Korbel JO,Marchini JL,McCarthy S,McVean GA,Abecasis GR","journal":"Nature","doi":"10.1038/nature15393","created_at":"2021-09-30T08:27:06.070Z","updated_at":"2021-09-30T08:27:06.070Z"},{"id":2779,"pubmed_id":31584097,"title":"The International Genome Sample Resource (IGSR) collection of open human genomic variation resources.","year":2019,"url":"http://doi.org/10.1093/nar/gkz836","authors":"Fairley S,Lowy-Gallego E,Perry E,Flicek P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz836","created_at":"2021-09-30T08:27:41.626Z","updated_at":"2021-09-30T11:29:44.188Z"}],"licence_links":[{"licence_name":"International Genome Sample Resource (IGSR) Disclaimer, Privacy and Cookies","licence_id":445,"licence_url":"https://www.internationalgenome.org/IGSR_disclaimer","link_id":1888,"relation":"undefined"}],"grants":[{"id":3329,"fairsharing_record_id":2737,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:13.642Z","updated_at":"2021-09-30T09:26:13.642Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3330,"fairsharing_record_id":2737,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:13.673Z","updated_at":"2021-09-30T09:32:45.820Z","grant_id":1767,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT104947/Z/14/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2739","type":"fairsharing_records","attributes":{"created_at":"2019-03-05T11:10:11.000Z","updated_at":"2022-07-20T12:38:41.662Z","metadata":{"doi":"10.25504/FAIRsharing.EtYkWo","name":"Banana Breeding Tracker Database","status":"deprecated","contacts":[{"contact_name":"The Director, ICAR-National Research Centre for Banana","contact_email":"directornrcb@gmail.com"}],"homepage":"http://nrcbbioinfo.byethost33.com/bbtbase/index.php","identifier":2739,"description":"The Banana Breeding Tracker Database (BBTbase) is a database of banana breeding information and allows users to input data from multiple stages in banana crop production, including hybridization, seed extraction, culturing, and hardening. This database also provides quick responsive (QR) codes for labelling. BBTbase has been developed at ICAR-NRCB to monitor banana breeding programs.","abbreviation":"BBTbase","data_curation":{"type":"not found"},"support_links":[{"url":"http://nrcbbioinfo.byethost33.com/bbtbase/about.php","name":"Contact Form","type":"Contact form"}],"year_creation":2018,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001237","bsg-d001237"],"name":"FAIRsharing record for: Banana Breeding Tracker Database","abbreviation":"BBTbase","url":"https://fairsharing.org/10.25504/FAIRsharing.EtYkWo","doi":"10.25504/FAIRsharing.EtYkWo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Breeding Tracker Database (BBTbase) is a database of banana breeding information and allows users to input data from multiple stages in banana crop production, including hybridization, seed extraction, culturing, and hardening. This database also provides quick responsive (QR) codes for labelling. BBTbase has been developed at ICAR-NRCB to monitor banana breeding programs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Plant Breeding","Agriculture","Plant Cultivation"],"domains":["Life cycle stage"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":3332,"fairsharing_record_id":2739,"organisation_id":1330,"relation":"maintains","created_at":"2021-09-30T09:26:13.744Z","updated_at":"2021-09-30T09:26:13.744Z","grant_id":null,"is_lead":true,"saved_state":{"id":1330,"name":"Indian Council of Agricultural Research (ICAR) - National Research Centre for Banana, India","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2733","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T11:09:42.000Z","updated_at":"2024-06-11T10:26:50.855Z","metadata":{"doi":"10.25504/FAIRsharing.250fc8","name":"Hymenoptera Genome Database","status":"ready","contacts":[{"contact_email":"hymenopteragenomedatabase@gmail.com"}],"homepage":"http://hymenopteragenome.org/","citations":[{"doi":"10.1093/nar/gkv1208","pubmed_id":26578564,"publication_id":2335}],"identifier":2733,"description":"The Hymenoptera Genome Database (HGD) is a genome informatics resource that supports the research of insects of the order Hymenoptera (e.g. bees, wasps, ants). HGD is divided into three main divisions: BeeBase, which hosts bee genomes and the Bee Pests and Pathogens resource; NasoniaBase, which hosts the genome of the Jewel wasp (Nasonia vitripennis); and the Ant Genomes Portal, which hosts the genomes of several ant species.","abbreviation":"HGD","data_curation":{"type":"not found"},"support_links":[{"url":"http://hymenopteragenome.org/?q=about","name":"About HGD","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"http://hymenopteragenome.org/ant_genomes/","name":"Ant Genomes Portal"},{"url":"http://hymenopteragenome.org/nasonia/","name":"NasoniaBase"},{"url":"http://hymenopteragenome.org/beebase/","name":"BeeBase"},{"url":"http://hymenopteragenome.org/hymenopteramine/begin.do","name":"HymenopteraMine v1.4"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010925","name":"re3data:r3d100010925","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008966","name":"SciCrunch:RRID:SCR_008966","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://hymenoptera.elsiklab.missouri.edu/contributing_data","type":"controlled","notes":"New gene sets and assemblies must have been submitted to NCBI."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001231","bsg-d001231"],"name":"FAIRsharing record for: Hymenoptera Genome Database","abbreviation":"HGD","url":"https://fairsharing.org/10.25504/FAIRsharing.250fc8","doi":"10.25504/FAIRsharing.250fc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hymenoptera Genome Database (HGD) is a genome informatics resource that supports the research of insects of the order Hymenoptera (e.g. bees, wasps, ants). HGD is divided into three main divisions: BeeBase, which hosts bee genomes and the Bee Pests and Pathogens resource; NasoniaBase, which hosts the genome of the Jewel wasp (Nasonia vitripennis); and the Ant Genomes Portal, which hosts the genomes of several ant species.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15727}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science"],"domains":["Genome visualization","Genome"],"taxonomies":["Acromyrmex echinatior","Apis","Apis cerana","Apis dorsata","Apis florea","Apis mellifera","Atta Cephalotes","Bombus","Bombus impatiens","Bombus terrestris","Camponotus floridanus","Cardiocondyla obscurior","Ceratina calcarata","Cobria biroi","Drosophila","Dufourea novaeangliae","Erlandia mexicana","Habropoda laboriosa","Harpegnathos saltator","Lasioglossum albipes","Linepithema humile","Megachile rotundata","Melipona quadrifasciata","Monomorium pharaonis","Nasonia vitripennis","Pogonomyrmex barbatus","Solenopsis invicta","Wasmannia auropunctata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2335,"pubmed_id":26578564,"title":"Hymenoptera Genome Database: integrating genome annotations in HymenopteraMine.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1208","authors":"Elsik CG,Tayal A,Diesh CM,Unni DR,Emery ML,Nguyen HN,Hagen DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1208","created_at":"2021-09-30T08:26:46.726Z","updated_at":"2021-09-30T11:29:33.303Z"}],"licence_links":[{"licence_name":"HGD Data Usage Policy","licence_id":390,"licence_url":"http://hymenopteragenome.org/?q=data_usage_policy","link_id":1443,"relation":"undefined"}],"grants":[{"id":3322,"fairsharing_record_id":2733,"organisation_id":3098,"relation":"maintains","created_at":"2021-09-30T09:26:13.408Z","updated_at":"2021-09-30T09:26:13.408Z","grant_id":null,"is_lead":true,"saved_state":{"id":3098,"name":"University of Missouri, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3321,"fairsharing_record_id":2733,"organisation_id":44,"relation":"funds","created_at":"2021-09-30T09:26:13.385Z","updated_at":"2021-09-30T09:30:23.992Z","grant_id":695,"is_lead":false,"saved_state":{"id":44,"name":"Agriculture and Food Research Initiative (AFRI), National Institute of Food and Agriculture, Washington, DC, USA","grant":"Agriculture and Food Research Initiative Competitive grant no. 2018-67013-27536","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3320,"fairsharing_record_id":2733,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:13.352Z","updated_at":"2021-09-30T09:31:59.436Z","grant_id":1419,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","grant":"USDA Hatch Project 1009273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8367,"fairsharing_record_id":2733,"organisation_id":44,"relation":"funds","created_at":"2021-09-30T09:32:17.871Z","updated_at":"2021-09-30T09:32:17.925Z","grant_id":1554,"is_lead":false,"saved_state":{"id":44,"name":"Agriculture and Food Research Initiative (AFRI), National Institute of Food and Agriculture, Washington, DC, USA","grant":"Agriculture and Food Research Initiative Competitive grant no. 2010-65205-20407","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2734","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T11:20:18.000Z","updated_at":"2023-12-15T10:31:59.140Z","metadata":{"doi":"10.25504/FAIRsharing.83d06b","name":"Phytozome","status":"ready","contacts":[{"contact_name":"David M Goodstein","contact_email":"dmgoodstein@lbl.gov","contact_orcid":"0000-0001-6287-2697"}],"homepage":"https://phytozome.jgi.doe.gov/pz/portal.html","identifier":2734,"description":"Phytozome, the Plant Comparative Genomics portal of the Department of Energy's Joint Genome Institute, provides JGI users and the broader plant science community a hub for accessing, visualizing and analyzing JGI-sequenced plant genomes, as well as selected genomes and datasets that have been sequenced elsewhere. Search and visualization tools let users quickly find and analyze genes or genomic regions of interest.","abbreviation":"Phytozome","data_curation":{"url":"https://phytozome-next.jgi.doe.gov/","type":"manual/automated"},"support_links":[{"url":"https://phytozome.jgi.doe.gov/pz/portal.html#!news","name":"Phytozome News","type":"Blog/News"},{"url":"jschmutz@hudsonalpha.org","name":"Jeremy Schmutz","type":"Support email"},{"url":"phytozome@jgi-psf.org","name":"General Contact","type":"Support email"},{"url":"https://phytozome.jgi.doe.gov/pz/FAQ.html","name":"Phytozome FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://phytozome.jgi.doe.gov/pz/QuickStart.html","name":"Phytozome Quick Start","type":"Help documentation"},{"url":"sympa@lists.lbl.gov","name":"LBL Mailing list","type":"Mailing list"},{"url":"https://phytozome.jgi.doe.gov/pz/portal.html#!releaseNotes","name":"Phytozome Release Notes","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010850","name":"re3data:r3d100010850","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006507","name":"SciCrunch:RRID:SCR_006507","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001232","bsg-d001232"],"name":"FAIRsharing record for: Phytozome","abbreviation":"Phytozome","url":"https://fairsharing.org/10.25504/FAIRsharing.83d06b","doi":"10.25504/FAIRsharing.83d06b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Phytozome, the Plant Comparative Genomics portal of the Department of Energy's Joint Genome Institute, provides JGI users and the broader plant science community a hub for accessing, visualizing and analyzing JGI-sequenced plant genomes, as well as selected genomes and datasets that have been sequenced elsewhere. Search and visualization tools let users quickly find and analyze genes or genomic regions of interest.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science","Comparative Genomics"],"domains":["Genome visualization","Gene","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2715,"pubmed_id":22110026,"title":"Phytozome: a comparative platform for green plant genomics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr944","authors":"Goodstein DM,Shu S,Howson R,Neupane R,Hayes RD,Fazo J,Mitros T,Dirks W,Hellsten U,Putnam N,Rokhsar DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr944","created_at":"2021-09-30T08:27:33.411Z","updated_at":"2021-09-30T11:29:41.786Z"}],"licence_links":[{"licence_name":"JGI disclaimer","licence_id":470,"licence_url":"https://jgi.doe.gov/disclaimer/","link_id":1905,"relation":"undefined"}],"grants":[{"id":3323,"fairsharing_record_id":2734,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:26:13.434Z","updated_at":"2021-09-30T09:26:13.434Z","grant_id":null,"is_lead":true,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2735","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T12:12:26.000Z","updated_at":"2023-12-15T10:30:23.891Z","metadata":{"doi":"10.25504/FAIRsharing.9HiHNn","name":"WheatMine","status":"ready","contacts":[{"contact_email":"urgi-contact@inra.fr"}],"homepage":"https://urgi.versailles.inra.fr/WheatMine/begin.do","identifier":2735,"description":"WheatMine integrates many types of data for Triticum aestivum including gene model, markers, and scaffolds. You can run flexible queries, export results and analyse lists of data.","abbreviation":"WheatMine","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://urgi.versailles.inra.fr/WheatMine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001233","bsg-d001233"],"name":"FAIRsharing record for: WheatMine","abbreviation":"WheatMine","url":"https://fairsharing.org/10.25504/FAIRsharing.9HiHNn","doi":"10.25504/FAIRsharing.9HiHNn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WheatMine integrates many types of data for Triticum aestivum including gene model, markers, and scaffolds. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11696},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16732}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Genome"],"taxonomies":["Triticum aestivum"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":697,"relation":"undefined"}],"grants":[{"id":3324,"fairsharing_record_id":2735,"organisation_id":2919,"relation":"maintains","created_at":"2021-09-30T09:26:13.458Z","updated_at":"2021-09-30T09:26:13.458Z","grant_id":null,"is_lead":true,"saved_state":{"id":2919,"name":"Unité de Recherche Genomique Info (URGI), Institut National de la Recherche Agronomique (INRA), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2736","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T12:31:27.000Z","updated_at":"2023-12-15T10:28:41.862Z","metadata":{"doi":"10.25504/FAIRsharing.a1de61","name":"The Track Hub Registry","status":"ready","contacts":[{"contact_name":"The Track Hub Registry Helpdesk","contact_email":"helpdesk@trackhubregistry.org"}],"homepage":"https://www.trackhubregistry.org/","citations":[],"identifier":2736,"description":"The Track Hub Registry is a global centralised collection of publicly accessible track hubs. Its goal is to allow third parties to advertise track hubs, and to make it easier for researchers around the world to discover and use track hubs containing different types of genomic research data.","abbreviation":null,"data_curation":{"url":"http://genome.ucsc.edu/goldenPath/help/hgTrackHubHelp.html#Setup","type":"automated","notes":"Automatic validation"},"support_links":[{"url":"https://www.trackhubregistry.org/help","name":"Contact Form","type":"Contact form"},{"url":"https://www.trackhubregistry.org/docs/search","name":"Search Documentation","type":"Help documentation"},{"url":"https://www.trackhubregistry.org/docs/management/overview","name":"Information on Registration","type":"Help documentation"},{"url":"https://www.trackhubregistry.org/about","name":"About the Track Hub Registry","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.trackhubregistry.org/","type":"open","notes":"Registration is required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001234","bsg-d001234"],"name":"FAIRsharing record for: The Track Hub Registry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.a1de61","doi":"10.25504/FAIRsharing.a1de61","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Track Hub Registry is a global centralised collection of publicly accessible track hubs. Its goal is to allow third parties to advertise track hubs, and to make it easier for researchers around the world to discover and use track hubs containing different types of genomic research data.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12828}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Genome visualization","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1732,"relation":"undefined"},{"licence_name":"TrackHub Registry Account Creation Privacy Notice","licence_id":790,"licence_url":"https://www.trackhubregistry.org/docs/privacy/registered","link_id":1734,"relation":"undefined"},{"licence_name":"TrackHub Registry Privacy Notice","licence_id":791,"licence_url":"https://www.ebi.ac.uk/data-protection/privacy-notice/trackhub-registry-anonymous-browsing","link_id":1733,"relation":"undefined"}],"grants":[{"id":3326,"fairsharing_record_id":2736,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:26:13.548Z","updated_at":"2021-09-30T09:26:13.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3325,"fairsharing_record_id":2736,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:13.487Z","updated_at":"2021-09-30T09:31:59.969Z","grant_id":1422,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT095908 and WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3327,"fairsharing_record_id":2736,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:26:13.586Z","updated_at":"2021-09-30T09:26:13.586Z","grant_id":null,"is_lead":true,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3328,"fairsharing_record_id":2736,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:13.619Z","updated_at":"2021-09-30T09:32:00.567Z","grant_id":1426,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024225/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2719","type":"fairsharing_records","attributes":{"created_at":"2018-11-30T19:49:45.000Z","updated_at":"2023-06-23T09:46:21.074Z","metadata":{"doi":"10.25504/FAIRsharing.uovQrT","name":"Vivli","status":"ready","contacts":[{"contact_name":"Julie Wood","contact_email":"jwood@vivli.org"}],"homepage":"https://vivli.org/","citations":[],"identifier":2719,"description":"The Vivli data repository provides a global data-sharing and analytics platform serving all elements of the international research community. It is focused on sharing individual participant-level data from completed clinical trials to serve the international research community. Vivli acts as a neutral broker between data contributor and data user and the wider data sharing community. Vivli is a non-profit organization focused on data sharing and analysis. Vivli provides managed access for human subject clinical research data. At a minimum, Vivli will make data available for researchers for 10 years, unless they are contractually unable to do so. On an ongoing basis, Vivli evaluates its data holdings with regard to maintaining access and reserves the right to discontinue the distribution of a data collections when deemed appropriate.When materials are deaccessioned, the data are no longer publicly accessible at Vivli, although they may still be preserved in Vivli’s storage vault. Because digital files are assigned a persistent digital object identifier (DOI), the study description is still available to view, but is not searchable through Vivli. Web crawlers are instructed to ignore the descriptions (via the robots exclusion protocol).\nFor more information about Vivli’s policy, please contact Vivli at support@vivli.org\nIt provides a no-charge period for data only available within their secure research environment. There are costs after the no-charge time period ends. Vivli supports managed access as well as embargoing generally and during peer review. Vivli is funded via grants and member fees.","abbreviation":"Vivli","data_curation":{"url":"https://vivli.org/how-to-share-your-data-on-the-vivli-platform/","type":"manual","notes":"Vivli offers curation of the study metadata through a process overseen by Cochrane."},"support_links":[{"url":"https://www.linkedin.com/company/vivli/","name":"LinkedIn","type":"Blog/News"},{"url":"https://vivli.org/news/","name":"News \u0026 Events","type":"Blog/News"},{"url":"support@vivli.org","name":"Support Email","type":"Support email"},{"url":"https://vivli.org/resources/faqs/","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://vivli.org/resources/","name":"How-To Guide","type":"Help documentation"},{"url":"https://vivli.org/how-to-share-your-data-on-the-vivli-platform/","name":"Researcher Costs","type":"Help documentation"},{"url":"https://vivli.org/resources/vivli-secure-research-environment/","name":"About Secure Research Environments","type":"Help documentation"},{"url":"https://twitter.com/VivliCenter","name":"@VivliCenter","type":"Twitter"},{"url":"https://vivli.org/about/overview/","name":"Vivli Overview","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCxbUyLsTVHwh6Dy7_NNVUcw","name":"Vivli Youtube channel","type":"Video"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"https://vivli.org/resources/vivli-secure-research-environment/","name":"See webpage for latest PDF list of tools available as standard in the research environment"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012823","name":"re3data:r3d100012823","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018080","name":"SciCrunch:RRID:SCR_018080","portal":"SciCrunch"}],"data_access_condition":{"url":"https://vivli.org/about/data-request-review-process/","type":"controlled","notes":"Requested access to data"},"resource_sustainability":{"url":"https://vivli.org/resources/platform_metrics/","name":"More information"},"data_contact_information":"not found","data_preservation_policy":{"url":"https://vivli.org/resources/sharedata/","name":"10 year secure cloud archival. Secure storage using Microsoft Azure."},"data_deposition_condition":{"url":"https://vivli.org/how-to-share-your-data-on-the-vivli-platform/","type":"controlled","notes":"Requires Vivli Data Contribution Agreement. Provides ORCID authenticated contributors can share files up to 500 MB. Larger sizes of up to 100 TB can be accommodated. Unlimited storage per researcher."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001217","bsg-d001217"],"name":"FAIRsharing record for: Vivli","abbreviation":"Vivli","url":"https://fairsharing.org/10.25504/FAIRsharing.uovQrT","doi":"10.25504/FAIRsharing.uovQrT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vivli data repository provides a global data-sharing and analytics platform serving all elements of the international research community. It is focused on sharing individual participant-level data from completed clinical trials to serve the international research community. Vivli acts as a neutral broker between data contributor and data user and the wider data sharing community. Vivli is a non-profit organization focused on data sharing and analysis. Vivli provides managed access for human subject clinical research data. At a minimum, Vivli will make data available for researchers for 10 years, unless they are contractually unable to do so. On an ongoing basis, Vivli evaluates its data holdings with regard to maintaining access and reserves the right to discontinue the distribution of a data collections when deemed appropriate.When materials are deaccessioned, the data are no longer publicly accessible at Vivli, although they may still be preserved in Vivli’s storage vault. Because digital files are assigned a persistent digital object identifier (DOI), the study description is still available to view, but is not searchable through Vivli. Web crawlers are instructed to ignore the descriptions (via the robots exclusion protocol).\nFor more information about Vivli’s policy, please contact Vivli at support@vivli.org\nIt provides a no-charge period for data only available within their secure research environment. There are costs after the no-charge time period ends. Vivli supports managed access as well as embargoing generally and during peer review. Vivli is funded via grants and member fees.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10824},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12334},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12823},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16888}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Clinical Studies","Health Science","Virology","Biomedical Science","Preclinical Studies"],"domains":["Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Vivli Data Use Agreement","licence_id":844,"licence_url":"https://vivli.org/resources/vivli-data-use-agreement/","link_id":1913,"relation":"undefined"},{"licence_name":"Vivli Privacy Statement","licence_id":845,"licence_url":"https://vivli.org/privacy/","link_id":1912,"relation":"undefined"}],"grants":[{"id":3284,"fairsharing_record_id":2719,"organisation_id":1689,"relation":"funds","created_at":"2021-09-30T09:26:12.300Z","updated_at":"2021-09-30T09:26:12.300Z","grant_id":null,"is_lead":false,"saved_state":{"id":1689,"name":"Laura and John Arnold Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3288,"fairsharing_record_id":2719,"organisation_id":1736,"relation":"funds","created_at":"2021-09-30T09:26:12.400Z","updated_at":"2021-09-30T09:26:12.400Z","grant_id":null,"is_lead":false,"saved_state":{"id":1736,"name":"Lyda Hill Foundation, United States","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8609,"fairsharing_record_id":2719,"organisation_id":2854,"relation":"funds","created_at":"2021-11-24T15:35:28.859Z","updated_at":"2021-11-24T15:35:28.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3285,"fairsharing_record_id":2719,"organisation_id":1706,"relation":"funds","created_at":"2021-09-30T09:26:12.324Z","updated_at":"2021-09-30T09:26:12.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":1706,"name":"Leona M. and Harry B. Helmsley Charitable Trust, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3286,"fairsharing_record_id":2719,"organisation_id":1917,"relation":"maintains","created_at":"2021-09-30T09:26:12.350Z","updated_at":"2021-09-30T09:26:12.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":1917,"name":"Multi-Regional Clinical Trials Center of Brigham and Women's Hospital and Harvard (MRCT Center), United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3287,"fairsharing_record_id":2719,"organisation_id":780,"relation":"funds","created_at":"2021-09-30T09:26:12.374Z","updated_at":"2021-09-30T09:26:12.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":780,"name":"Doris Duke Charitable Foundation, United States","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3289,"fairsharing_record_id":2719,"organisation_id":2323,"relation":"funds","created_at":"2021-09-30T09:26:12.424Z","updated_at":"2021-09-30T09:26:12.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":2323,"name":"Phrma","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":8608,"fairsharing_record_id":2719,"organisation_id":217,"relation":"funds","created_at":"2021-11-24T15:35:28.848Z","updated_at":"2021-11-24T15:35:28.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2720","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T15:17:45.000Z","updated_at":"2023-06-23T10:32:23.392Z","metadata":{"doi":"10.25504/FAIRsharing.xMmOCL","name":"CORE","status":"ready","contacts":[{"contact_name":"Petr Knoth","contact_email":"petr.knoth@open.ac.uk","contact_orcid":"0000-0003-1161-7359"}],"homepage":"https://core.ac.uk","citations":[{"publication_id":2333}],"identifier":2720,"description":"CORE’s mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all. CORE supports the right of citizens and the general public to access the results of research towards which they contributed by paying taxes; facilitates access to open access content for all by offering services to general public, academic institutions, libraries, software developers, researchers, etc.; provides support to both content consumers and content providers by working with digital libraries, institutional and subject repositories and journals, ; enriches the research content using state-of-the-art technology and provides access to it through a set of services including search, API and analytical tools, ; contributes to a cultural change by promoting open access, a fast growing movement.","abbreviation":"CORE","data_curation":{"type":"not found"},"support_links":[{"url":"https://core.ac.uk/about#faqs","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"theteam@core.ac.uk","name":"CORE Team Contact","type":"Mailing list"},{"url":"https://core.ac.uk/docs/","name":"CORE API v2 Documentation","type":"Help documentation"},{"url":"https://www.fosteropenscience.eu/node/2263","name":"Introduction to Text and Data Mining","type":"Training documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"url":"https://core.ac.uk/about","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://core.ac.uk/benefits","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001218","bsg-d001218"],"name":"FAIRsharing record for: CORE","abbreviation":"CORE","url":"https://fairsharing.org/10.25504/FAIRsharing.xMmOCL","doi":"10.25504/FAIRsharing.xMmOCL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CORE’s mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all. CORE supports the right of citizens and the general public to access the results of research towards which they contributed by paying taxes; facilitates access to open access content for all by offering services to general public, academic institutions, libraries, software developers, researchers, etc.; provides support to both content consumers and content providers by working with digital libraries, institutional and subject repositories and journals, ; enriches the research content using state-of-the-art technology and provides access to it through a set of services including search, API and analytical tools, ; contributes to a cultural change by promoting open access, a fast growing movement.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Subject Agnostic"],"domains":["Text mining","Journal article","Literature curation"],"taxonomies":[],"user_defined_tags":["Open Science","Research object"],"countries":["United Kingdom"],"publications":[{"id":2333,"pubmed_id":null,"title":"CORE: three access levels to underpin open access","year":2012,"url":"https://doi.org/10.1045/november2012-knoth","authors":"Knoth, Petr and Zdrahal, Zdenek","journal":"D-Lib Magazine, 18(11/12), article no. 4","doi":null,"created_at":"2021-09-30T08:26:46.469Z","updated_at":"2021-09-30T08:26:46.469Z"}],"licence_links":[],"grants":[{"id":3290,"fairsharing_record_id":2720,"organisation_id":1600,"relation":"maintains","created_at":"2021-09-30T09:26:12.450Z","updated_at":"2021-09-30T09:26:12.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":3291,"fairsharing_record_id":2720,"organisation_id":2816,"relation":"maintains","created_at":"2021-09-30T09:26:12.474Z","updated_at":"2021-09-30T09:26:12.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":2816,"name":"The Open University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2721","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T12:27:53.000Z","updated_at":"2022-07-20T11:52:50.604Z","metadata":{"name":"Exome Aggregation Consortium Browser","status":"deprecated","contacts":[{"contact_email":"exomeconsortium@gmail.com"}],"homepage":"http://exac.broadinstitute.org/","identifier":2721,"description":"The Exome Aggregation Consortium (ExAC) is a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The ExAC Browser spans 60,706 unrelated individuals sequenced as part of various disease-specific and population genetic studies. All of the raw data from these projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects.","abbreviation":"ExAC Browser","data_curation":{"type":"not found"},"support_links":[{"url":"http://exac.broadinstitute.org/faq","name":"ExAC FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/konradjk/exac_browser/issues","name":"Issue Tracker","type":"Github"},{"url":"http://exac.broadinstitute.org/about","name":"About ExAC","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001219","bsg-d001219"],"name":"FAIRsharing record for: Exome Aggregation Consortium Browser","abbreviation":"ExAC Browser","url":"https://fairsharing.org/fairsharing_records/2721","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Exome Aggregation Consortium (ExAC) is a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The ExAC Browser spans 60,706 unrelated individuals sequenced as part of various disease-specific and population genetic studies. All of the raw data from these projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Population Genetics"],"domains":["Disease","Gene-disease association"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Exome"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ExAC Terms of Use","licence_id":304,"licence_url":"http://exac.broadinstitute.org/terms","link_id":700,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":699,"relation":"undefined"},{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":698,"relation":"undefined"}],"grants":[{"id":3292,"fairsharing_record_id":2721,"organisation_id":2748,"relation":"maintains","created_at":"2021-09-30T09:26:12.500Z","updated_at":"2021-09-30T09:26:12.500Z","grant_id":null,"is_lead":true,"saved_state":{"id":2748,"name":"The Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02140, USA.","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2717","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T13:54:02.000Z","updated_at":"2023-06-23T11:17:50.345Z","metadata":{"doi":"10.25504/FAIRsharing.6YaUQm","name":"CHOmine","status":"ready","contacts":[{"contact_email":"nicole.borth@boku.ac.at"}],"homepage":"https://chomine.boku.ac.at/chomine","citations":[{"doi":"10.1093/database/bax034","pubmed_id":28605771,"publication_id":2369}],"identifier":2717,"description":"CHOmine integrates many types of data for Cricetulus griseus, and CHO cells. You can run flexible queries, export results and analyse lists of data.","abbreviation":"CHOmine","data_curation":{"type":"none"},"support_links":[{"url":"https://chomine.boku.ac.at/chomodel/","name":"Data Model","type":"Help documentation"},{"url":"https://chomine.boku.ac.at/chomine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001215","bsg-d001215"],"name":"FAIRsharing record for: CHOmine","abbreviation":"CHOmine","url":"https://fairsharing.org/10.25504/FAIRsharing.6YaUQm","doi":"10.25504/FAIRsharing.6YaUQm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CHOmine integrates many types of data for Cricetulus griseus, and CHO cells. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11687},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12822}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Protein","Gene"],"taxonomies":["Cricetulus griseus"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":2369,"pubmed_id":28605771,"title":"CHOmine: an integrated data warehouse for CHO systems biology and modeling.","year":2017,"url":"http://doi.org/10.1093/database/bax034","authors":"Gerstl MP,Hanscho M,Ruckerbauer DE,Zanghellini J,Borth N","journal":"Database (Oxford)","doi":"10.1093/database/bax034","created_at":"2021-09-30T08:26:51.268Z","updated_at":"2021-09-30T08:26:51.268Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":425,"relation":"undefined"}],"grants":[{"id":3282,"fairsharing_record_id":2717,"organisation_id":153,"relation":"maintains","created_at":"2021-09-30T09:26:12.250Z","updated_at":"2021-09-30T09:26:12.250Z","grant_id":null,"is_lead":true,"saved_state":{"id":153,"name":"Austrian Centre of Industrial Biotechnology (ACIB), Austria","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3281,"fairsharing_record_id":2717,"organisation_id":687,"relation":"maintains","created_at":"2021-09-30T09:26:12.225Z","updated_at":"2021-09-30T09:26:12.225Z","grant_id":null,"is_lead":true,"saved_state":{"id":687,"name":"Department of Biotechnology, University of Natural Resources and Life Sciences, Austria","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2731","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T21:11:23.000Z","updated_at":"2024-03-17T17:02:12.412Z","metadata":{"doi":"10.25504/FAIRsharing.0oOPKg","name":"ThaleMine","status":"ready","contacts":[{"contact_email":"nicholas.provart@utoronto.ca"}],"homepage":"https://bar.utoronto.ca/thalemine","citations":[{"doi":"10.1093/nar/gku1200","pubmed_id":25414324,"publication_id":2551},{"doi":"10.1105/tpc.20.00358","pubmed_id":32699173,"publication_id":4139}],"identifier":2731,"description":"ThaleMine enables you to analyze Arabidopsis thaliana genes, proteins, gene expression, protein-protein interactions, orthologs, and more. Use plain text or structured queries for interactive gene and protein reports.","abbreviation":"ThaleMine","data_curation":{"url":"https://bar.utoronto.ca/thalemine/dataCategories.do","type":"manual/automated"},"support_links":[{"url":"https://www.araport.org/","name":"ThaleMine FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Data cannot be submitted, however the users can suggest to add particular data via email."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001229","bsg-d001229"],"name":"FAIRsharing record for: ThaleMine","abbreviation":"ThaleMine","url":"https://fairsharing.org/10.25504/FAIRsharing.0oOPKg","doi":"10.25504/FAIRsharing.0oOPKg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ThaleMine enables you to analyze Arabidopsis thaliana genes, proteins, gene expression, protein-protein interactions, orthologs, and more. Use plain text or structured queries for interactive gene and protein reports.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11694}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Gene expression","Molecular interaction","Protein","Gene","Homologous"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":2551,"pubmed_id":25414324,"title":"Araport: the Arabidopsis information portal.","year":2014,"url":"http://doi.org/10.1093/nar/gku1200","authors":"Krishnakumar V,Hanlon MR,Contrino S,Ferlanti ES,Karamycheva S,Kim M,Rosen BD,Cheng CY,Moreira W,Mock SA,Stubbs J,Sullivan JM,Krampis K,Miller JR,Micklem G,Vaughn M,Town CD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1200","created_at":"2021-09-30T08:27:12.849Z","updated_at":"2021-09-30T11:29:39.129Z"},{"id":4139,"pubmed_id":32699173,"title":"Araport Lives: An Updated Framework for Arabidopsis Bioinformatics","year":2020,"url":"https://academic.oup.com/plcell/article/32/9/2683/6115718?login=false","authors":"Asher Pasha, Shabari Subramaniam, Alan Cleary, Xingguo Chen, Tanya Berardini, Andrew Farmer, Christopher Town, Nicholas Provart","journal":"The Plant Cell","doi":"10.1105/tpc.20.00358","created_at":"2024-02-18T18:07:22.238Z","updated_at":"2024-02-18T18:07:22.238Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1016,"relation":"undefined"}],"grants":[{"id":3315,"fairsharing_record_id":2731,"organisation_id":219,"relation":"maintains","created_at":"2021-09-30T09:26:13.123Z","updated_at":"2021-09-30T09:26:13.123Z","grant_id":null,"is_lead":true,"saved_state":{"id":219,"name":"Bio-Analytic Resource","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3316,"fairsharing_record_id":2731,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:13.163Z","updated_at":"2021-09-30T09:29:49.671Z","grant_id":423,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#DBI-1262414","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3317,"fairsharing_record_id":2731,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:13.202Z","updated_at":"2021-09-30T09:30:18.846Z","grant_id":651,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L027151/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2732","type":"fairsharing_records","attributes":{"created_at":"2018-12-12T20:56:43.000Z","updated_at":"2022-07-20T12:35:42.022Z","metadata":{"doi":"10.25504/FAIRsharing.iHhPe9","name":"XenMine","status":"deprecated","contacts":[{"contact_email":"jbaker@stanford.edu"}],"homepage":"http://www.xenmine.org/xenmine","citations":[{"doi":"10.1016/j.ydbio.2016.02.034","pubmed_id":27157655,"publication_id":2337}],"identifier":2732,"description":"XenMine has been created to view, search and analyze Xenopus data, and provides essential information on gene expression changes and regulatory elements present in the genome. It contains published genomic datasets from both Xenopus tropicalis and Xenopus laevis.","abbreviation":"XenMine","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.xenmine.org/xenmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"http://www.xenmine.org/jbrowse/index.html?","name":"JBrowse (View ChIP-Seq tracks)"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by XenBase.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001230","bsg-d001230"],"name":"FAIRsharing record for: XenMine","abbreviation":"XenMine","url":"https://fairsharing.org/10.25504/FAIRsharing.iHhPe9","doi":"10.25504/FAIRsharing.iHhPe9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XenMine has been created to view, search and analyze Xenopus data, and provides essential information on gene expression changes and regulatory elements present in the genome. It contains published genomic datasets from both Xenopus tropicalis and Xenopus laevis.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11695}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Gene"],"taxonomies":["Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2337,"pubmed_id":27157655,"title":"XenMine: A genomic interaction tool for the Xenopus community.","year":2016,"url":"http://doi.org/S0012-1606(15)30264-5","authors":"Reid CD,Karra K,Chang J,Piskol R,Li Q,Li JB,Cherry JM,Baker JC","journal":"Dev Biol","doi":"10.1016/j.ydbio.2016.02.034","created_at":"2021-09-30T08:26:46.993Z","updated_at":"2021-09-30T08:26:46.993Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":786,"relation":"undefined"}],"grants":[{"id":3319,"fairsharing_record_id":2732,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:26:13.313Z","updated_at":"2021-09-30T09:26:13.313Z","grant_id":null,"is_lead":true,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3318,"fairsharing_record_id":2732,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:13.235Z","updated_at":"2021-09-30T09:32:45.714Z","grant_id":1766,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5R01HD076839","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2730","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T20:56:30.000Z","updated_at":"2023-12-15T10:30:46.887Z","metadata":{"doi":"10.25504/FAIRsharing.QXYuxK","name":"TargetMine","status":"ready","contacts":[],"homepage":"http://targetmine.mizuguchilab.org/targetmine","citations":[{"doi":"10.1093/database/baw009","pubmed_id":26989145,"publication_id":2386}],"identifier":2730,"description":"TargetMine integrates many types of data for human, rat and mouse. Flexible queries, export of results and data analysis are available.","abbreviation":"TargetMine","data_curation":{"url":"https://targetmine.mizuguchilab.org/overview/","type":"manual"},"support_links":[{"url":"https://targetmine.mizuguchilab.org/tutorials","name":"Tutorial","type":"Help documentation"},{"url":"https://targetmine.mizuguchilab.org/targetmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/targetmine-tutorials-tutorials-for-an-intermine-designed-to-help-identify-drug-targets","name":"TargetMine tutorials Tutorials for an InterMine designed to help identify drug targets.","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001228","bsg-d001228"],"name":"FAIRsharing record for: TargetMine","abbreviation":"TargetMine","url":"https://fairsharing.org/10.25504/FAIRsharing.QXYuxK","doi":"10.25504/FAIRsharing.QXYuxK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TargetMine integrates many types of data for human, rat and mouse. Flexible queries, export of results and data analysis are available.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11693},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12827}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Protein structure","Protein domain","Protein interaction","Chemical entity","Molecular interaction","High-throughput screening","Protein","Micro RNA","Gene","Gene-disease association","Target"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2386,"pubmed_id":26989145,"title":"An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework.","year":2016,"url":"http://doi.org/10.1093/database/baw009","authors":"Chen YA,Tripathi LP,Mizuguchi K","journal":"Database (Oxford)","doi":"10.1093/database/baw009","created_at":"2021-09-30T08:26:53.162Z","updated_at":"2021-09-30T08:26:53.162Z"},{"id":2387,"pubmed_id":21408081,"title":"TargetMine, an integrated data warehouse for candidate gene prioritisation and target discovery.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0017844","authors":"Chen YA,Tripathi LP,Mizuguchi K","journal":"PLoS One","doi":"10.1371/journal.pone.0017844","created_at":"2021-09-30T08:26:53.277Z","updated_at":"2021-09-30T08:26:53.277Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1316,"relation":"undefined"}],"grants":[{"id":3314,"fairsharing_record_id":2730,"organisation_id":1882,"relation":"maintains","created_at":"2021-09-30T09:26:13.081Z","updated_at":"2021-09-30T09:26:13.081Z","grant_id":null,"is_lead":true,"saved_state":{"id":1882,"name":"Mizuguchi Laboratory, National Institutes of Biomedical Innovation, Health and Nutrition, Japan","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2763","type":"fairsharing_records","attributes":{"created_at":"2019-03-29T09:04:44.000Z","updated_at":"2023-12-15T10:30:28.831Z","metadata":{"doi":"10.25504/FAIRsharing.52da68","name":"National Genomics Data Center Repository","status":"ready","contacts":[{"contact_name":"Yiming Bao","contact_email":"baoym@big.ac.cn","contact_orcid":"0000-0002-9922-9723"}],"homepage":"https://ngdc.cncb.ac.cn/","citations":[],"identifier":2763,"description":"The National Genomics Data Center of the Chinese Academy of Sciences provides a repository containing a number of resources in support of worldwide research activities in both academia and industry. With the vast amounts of multi-omics data generated at unprecedented scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big data integration and value-added curation. Resources with significant updates in the past year include BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Science Wikis (a catalog of biological knowledge wikis for community annotations) and IC4R (Information Commons for Rice). Newly released resources include EWAS Atlas (a knowledgebase of epigenome-wide association studies), iDog (an integrated omics data resource for dog) and RNA editing resources (for editome-disease associations and plant RNA editosome, respectively). To promote biodiversity and health big data sharing around the world, the Open Biodiversity and Health Big Data (BHBD) initiative is introduced. All of these resources are publicly accessible.","abbreviation":"NGDC","data_curation":{"type":"not found"},"support_links":[{"url":"http://bigd.big.ac.cn/conference","name":"Conference","type":"Blog/News"},{"url":"https://ngdc.cncb.ac.cn/training/gbt","name":"Genomics \u0026 Bioinformatics Training","type":"Training documentation"},{"url":"https://ngdc.cncb.ac.cn/news/general","type":"Blog/News"}],"year_creation":2015,"data_versioning":"not found","associated_tools":[{"url":"https://ngdc.cncb.ac.cn/bit/","name":"NGDC Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013743","name":"re3data:r3d100013743","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ngdc.cncb.ac.cn/gsub/","type":"open","notes":"Submissions are made through the BIG Submission Portal."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001261","bsg-d001261"],"name":"FAIRsharing record for: National Genomics Data Center Repository","abbreviation":"NGDC","url":"https://fairsharing.org/10.25504/FAIRsharing.52da68","doi":"10.25504/FAIRsharing.52da68","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Genomics Data Center of the Chinese Academy of Sciences provides a repository containing a number of resources in support of worldwide research activities in both academia and industry. With the vast amounts of multi-omics data generated at unprecedented scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big data integration and value-added curation. Resources with significant updates in the past year include BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Science Wikis (a catalog of biological knowledge wikis for community annotations) and IC4R (Information Commons for Rice). Newly released resources include EWAS Atlas (a knowledgebase of epigenome-wide association studies), iDog (an integrated omics data resource for dog) and RNA editing resources (for editome-disease associations and plant RNA editosome, respectively). To promote biodiversity and health big data sharing around the world, the Open Biodiversity and Health Big Data (BHBD) initiative is introduced. All of these resources are publicly accessible.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12836}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenomics","Knowledge and Information Systems","Metagenomics","Genomics","Bioinformatics","Genetics","Life Science","Transcriptomics","Omics"],"domains":["Taxonomic classification","Resource metadata","Expression data","Biological sample annotation","RNA sequence","Computational biological predictions","Real time polymerase chain reaction","DNA methylation","Gene expression","Biological sample","Disease","Single nucleotide polymorphism","Genome","Long non-coding RNA","Gene-disease association","Literature curation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":507,"pubmed_id":29036542,"title":"Database Resources of the BIG Data Center in 2018.","year":2017,"url":"http://doi.org/10.1093/nar/gkx897","authors":"BIG Data Center Members ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx897","created_at":"2021-09-30T08:23:15.298Z","updated_at":"2021-09-30T11:29:51.279Z"},{"id":513,"pubmed_id":30365034,"title":"Database Resources of the BIG Data Center in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky993","authors":"BIG Data Center Members.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky993","created_at":"2021-09-30T08:23:15.990Z","updated_at":"2021-09-30T11:28:46.885Z"},{"id":632,"pubmed_id":27899658,"title":"The BIG Data Center: from deposition to integration to translation.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1060","authors":"BIG Data Center Members","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1060","created_at":"2021-09-30T08:23:29.482Z","updated_at":"2021-09-30T11:28:48.618Z"},{"id":722,"pubmed_id":30716410,"title":"Database Resources in BIG Data Center: Submission, Archiving, and Integration of Big Data in Plant Science.","year":2019,"url":"http://doi.org/S1674-2052(19)30051-6","authors":"Song S,Zhang Z","journal":"Mol Plant","doi":"S1674-2052(19)30051-6","created_at":"2021-09-30T08:23:39.570Z","updated_at":"2021-09-30T08:23:39.570Z"},{"id":723,"pubmed_id":29069473,"title":"Genome Variation Map: a data repository of genome variations in BIG Data Center.","year":2017,"url":"http://doi.org/10.1093/nar/gkx986","authors":"Song S,Tian D,Li C,Tang B,Dong L,Xiao J,Bao Y,Zhao W,He H,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx986","created_at":"2021-09-30T08:23:39.676Z","updated_at":"2021-09-30T11:28:49.325Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":2110,"relation":"undefined"}],"grants":[{"id":3393,"fairsharing_record_id":2763,"organisation_id":2815,"relation":"funds","created_at":"2021-09-30T09:26:15.356Z","updated_at":"2021-09-30T09:26:15.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":2815,"name":"The Open Biodiversity and Health Big Data Initiative of IUBS","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7870,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:12.549Z","updated_at":"2021-09-30T09:29:12.601Z","grant_id":139,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFC0901603","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7930,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:52.942Z","updated_at":"2021-09-30T09:29:52.999Z","grant_id":449,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFE0206600","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8081,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:49.454Z","updated_at":"2021-09-30T09:30:49.499Z","grant_id":888,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31571358","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8151,"fairsharing_record_id":2763,"organisation_id":2856,"relation":"funds","created_at":"2021-09-30T09:31:12.739Z","updated_at":"2021-09-30T09:31:12.789Z","grant_id":1066,"is_lead":false,"saved_state":{"id":2856,"name":"The Youth Innovation Promotion Association of the CAS","grant":"2017141","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8277,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:52.591Z","updated_at":"2021-09-30T09:31:52.642Z","grant_id":1367,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31771465","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8316,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:02.808Z","updated_at":"2021-09-30T09:32:02.855Z","grant_id":1444,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC0908403","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8477,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:50.070Z","updated_at":"2021-09-30T09:32:50.119Z","grant_id":1798,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC0907503","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3401,"fairsharing_record_id":2763,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:15.557Z","updated_at":"2021-09-30T09:26:15.557Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3402,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:26:15.586Z","updated_at":"2021-09-30T09:29:09.418Z","grant_id":117,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31100915","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3399,"fairsharing_record_id":2763,"organisation_id":2856,"relation":"funds","created_at":"2021-09-30T09:26:15.502Z","updated_at":"2021-09-30T09:29:55.163Z","grant_id":468,"is_lead":false,"saved_state":{"id":2856,"name":"The Youth Innovation Promotion Association of the CAS","grant":"2018134","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3396,"fairsharing_record_id":2763,"organisation_id":1508,"relation":"funds","created_at":"2021-09-30T09:26:15.426Z","updated_at":"2021-09-30T09:31:30.305Z","grant_id":1201,"is_lead":false,"saved_state":{"id":1508,"name":"International Partnership Program of the Chinese Academy of Sciences","grant":"153F11KYSB20160008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3395,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:26:15.402Z","updated_at":"2021-09-30T09:29:02.274Z","grant_id":66,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFB0201702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7913,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:40.892Z","updated_at":"2021-09-30T09:29:40.960Z","grant_id":357,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2015AA020108","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7914,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:41.133Z","updated_at":"2021-09-30T09:29:41.187Z","grant_id":358,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2015AA020101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7929,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:29:51.472Z","updated_at":"2021-09-30T09:29:51.582Z","grant_id":438,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31671360","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8066,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:44.704Z","updated_at":"2021-09-30T09:30:44.762Z","grant_id":849,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2018YFC0310602","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8071,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:45.636Z","updated_at":"2021-09-30T09:30:45.681Z","grant_id":856,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31271386","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8138,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:09.756Z","updated_at":"2021-09-30T09:31:09.810Z","grant_id":1046,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFC0901903","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8165,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:17.330Z","updated_at":"2021-09-30T09:31:17.391Z","grant_id":1103,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31200978","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3397,"fairsharing_record_id":2763,"organisation_id":2738,"relation":"funds","created_at":"2021-09-30T09:26:15.453Z","updated_at":"2021-09-30T09:31:19.197Z","grant_id":1117,"is_lead":false,"saved_state":{"id":2738,"name":"The 13th Five-year Informatization Plan of Chinese Academy of Sciences","grant":"XXH13505-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8253,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:45.640Z","updated_at":"2021-09-30T09:31:45.685Z","grant_id":1315,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31471248","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8388,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:24.693Z","updated_at":"2021-09-30T09:32:24.741Z","grant_id":1608,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC1201200","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8478,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:50.202Z","updated_at":"2021-09-30T09:32:50.288Z","grant_id":1799,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC0907502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3403,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:26:15.611Z","updated_at":"2022-04-11T13:08:15.632Z","grant_id":380,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA08020102","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9422,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T13:09:17.474Z","updated_at":"2022-04-11T13:09:17.474Z","grant_id":659,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDB13040500","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9423,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T13:09:41.779Z","updated_at":"2022-04-11T13:09:41.779Z","grant_id":1273,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA19050302","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9424,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T13:10:02.115Z","updated_at":"2022-04-11T13:10:02.115Z","grant_id":1302,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KJZD-EW-L14","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2765","type":"fairsharing_records","attributes":{"created_at":"2019-03-29T17:54:51.000Z","updated_at":"2023-12-15T10:30:28.386Z","metadata":{"doi":"10.25504/FAIRsharing.23bdba","name":"DISNOR","status":"ready","contacts":[{"contact_name":"Gianni Cesareni","contact_email":"cesareni@uniroma2.it","contact_orcid":"0000-0002-9528-6018"}],"homepage":"https://disnor.uniroma2.it/","citations":[{"doi":"10.1093/nar/gkx876","pubmed_id":29036667,"publication_id":770}],"identifier":2765,"description":"DISNOR is a resource that uses a comprehensive collection of disease associated genes, as annotated in DisGeNET, to interrogate SIGNOR (https://signor.uniroma2.it) in order to assemble disease-specific logic networks linking disease associated genes by causal relationships. DISNOR is an open resource where more than 4000 disease-networks, linking ~ 2800 disease genes, can be explored. For each disease curated in DisGeNET, DISNOR links disease genes through manually annotated causal relationships and the inferred 'patho-pathways' can be visualised at different level of complexity.","abbreviation":"DISNOR","data_curation":{"url":"https://disnor.uniroma2.it/","type":"manual"},"support_links":[{"url":"https://disnor.uniroma2.it/#documentation","name":"Documentation","type":"Help documentation"},{"url":"https://disnor.uniroma2.it/#about-disnor","name":"About","type":"Help documentation"},{"url":"https://disnor.uniroma2.it/#tutorial","name":"Tutorial","type":"Training documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001263","bsg-d001263"],"name":"FAIRsharing record for: DISNOR","abbreviation":"DISNOR","url":"https://fairsharing.org/10.25504/FAIRsharing.23bdba","doi":"10.25504/FAIRsharing.23bdba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DISNOR is a resource that uses a comprehensive collection of disease associated genes, as annotated in DisGeNET, to interrogate SIGNOR (https://signor.uniroma2.it) in order to assemble disease-specific logic networks linking disease associated genes by causal relationships. DISNOR is an open resource where more than 4000 disease-networks, linking ~ 2800 disease genes, can be explored. For each disease curated in DisGeNET, DISNOR links disease genes through manually annotated causal relationships and the inferred 'patho-pathways' can be visualised at different level of complexity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Computational biological predictions","Network model","Curated information","Disease","Single nucleotide polymorphism","Gene-disease association"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":770,"pubmed_id":29036667,"title":"DISNOR: a disease network open resource.","year":2017,"url":"http://doi.org/10.1093/nar/gkx876","authors":"Lo Surdo P,Calderone A,Iannuccelli M,Licata L,Peluso D,Castagnoli L,Cesareni G,Perfetto L","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx876","created_at":"2021-09-30T08:23:44.859Z","updated_at":"2021-09-30T11:28:50.667Z"}],"licence_links":[{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":883,"relation":"undefined"}],"grants":[{"id":3413,"fairsharing_record_id":2765,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:26:15.868Z","updated_at":"2021-09-30T09:26:15.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3415,"fairsharing_record_id":2765,"organisation_id":679,"relation":"maintains","created_at":"2021-09-30T09:26:15.918Z","updated_at":"2021-09-30T09:26:15.918Z","grant_id":null,"is_lead":true,"saved_state":{"id":679,"name":"Department of Biology, University of Rome Tor Vergata, Rome, Italy","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3414,"fairsharing_record_id":2765,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:26:15.895Z","updated_at":"2021-09-30T09:26:15.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3412,"fairsharing_record_id":2765,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:15.845Z","updated_at":"2021-09-30T09:30:03.608Z","grant_id":533,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"32274","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2752","type":"fairsharing_records","attributes":{"created_at":"2018-12-21T10:27:46.000Z","updated_at":"2024-05-02T09:49:01.691Z","metadata":{"doi":"10.25504/FAIRsharing.ef9ca3","name":"SignaLink","status":"ready","contacts":[{"contact_name":"Tamas Korcsmaros","contact_email":"korcsmaros@netbiol.elte.hu","contact_orcid":"0000-0003-1717-996X"}],"homepage":"http://signalink.org/","citations":[{"doi":"10.1186/1752-0509-7-7","pubmed_id":23331499,"publication_id":2721}],"identifier":2752,"description":"SignaLink is an integrated resource to analyze signaling pathway cross-talks, transcription factors, miRNAs and regulatory enzymes. it allows browsing of signaling pathways, cross-talks and multi-pathway proteins; selection of transcriptional, post- transcriptional and post translational regulators of a signaling pathway; downloading of species- and pathway-specific information in several formats; designing of genetic/biochemical experiments to verify predicted pathway member proteins; modeling of tissue- or disease-specific signaling processes by merging SignaLink with expression data; and the discovering of novel signaling drug target candidates.","abbreviation":"SignaLink","data_curation":{"url":"http://signalink.org/faq","type":"manual","notes":"Each pathway was manually entered, based on publication and dabases."},"support_links":[{"url":"http://signalink.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001250","bsg-d001250"],"name":"FAIRsharing record for: SignaLink","abbreviation":"SignaLink","url":"https://fairsharing.org/10.25504/FAIRsharing.ef9ca3","doi":"10.25504/FAIRsharing.ef9ca3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SignaLink is an integrated resource to analyze signaling pathway cross-talks, transcription factors, miRNAs and regulatory enzymes. it allows browsing of signaling pathways, cross-talks and multi-pathway proteins; selection of transcriptional, post- transcriptional and post translational regulators of a signaling pathway; downloading of species- and pathway-specific information in several formats; designing of genetic/biochemical experiments to verify predicted pathway member proteins; modeling of tissue- or disease-specific signaling processes by merging SignaLink with expression data; and the discovering of novel signaling drug target candidates.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11411},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12153}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Life Science","Biomedical Science"],"domains":["Protein interaction","Network model","Signaling","Biological regulation","Transcription factor","Enzyme","Micro RNA"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":59,"pubmed_id":20542890,"title":"Uniformly curated signaling pathways reveal tissue-specific cross-talks and support drug target discovery.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq310","authors":"Korcsmaros T,Farkas IJ,Szalay MS,Rovo P,Fazekas D,Spiro Z,Bode C,Lenti K,Vellai T,Csermely P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq310","created_at":"2021-09-30T08:22:26.680Z","updated_at":"2021-09-30T08:22:26.680Z"},{"id":2721,"pubmed_id":23331499,"title":"SignaLink 2 - a signaling pathway resource with multi-layered regulatory networks.","year":2013,"url":"http://doi.org/10.1186/1752-0509-7-7","authors":"Fazekas D,Koltai M,Turei D,Modos D,Palfy M,Dul Z,Zsakai L,Szalay-Beko M,Lenti K,Farkas IJ,Vellai T,Csermely P,Korcsmaros T","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-7-7","created_at":"2021-09-30T08:27:34.179Z","updated_at":"2021-09-30T08:27:34.179Z"}],"licence_links":[],"grants":[{"id":3368,"fairsharing_record_id":2752,"organisation_id":711,"relation":"maintains","created_at":"2021-09-30T09:26:14.627Z","updated_at":"2021-09-30T09:26:14.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":711,"name":"Department of Genetics, Eotvos Lorand University University, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2753","type":"fairsharing_records","attributes":{"created_at":"2019-02-21T14:39:13.000Z","updated_at":"2024-03-21T13:58:10.033Z","metadata":{"doi":"10.25504/FAIRsharing.o8CuJ7","name":"Educational Resource Discovery Index","status":"deprecated","contacts":[{"contact_name":"John Darrell Van Horn","contact_email":"jvanhorn@usc.edu","contact_orcid":"0000-0003-1537-0816"}],"homepage":"http://www.bigdatau.org/about_erudite","citations":[{"doi":"https://doi.org/10.1142/9789813235533_0027","pubmed_id":29218890,"publication_id":2316}],"identifier":2753,"description":"ERuDIte is the educational resource discovery index that powers the BD2K Training Coordinating Center (TCC) Web Portal. ERuDIte not only serves as a resource collector and aggregator but also as a system powered by Machine Learning, Information Retrieval, and Natural Language Processing that intelligently organizes resources to provide a dynamic and personalized curriculum for biomedical researchers interested in learning about Data Science. ERuDIte provides the resource data that learners can discover on the TCC Web Portal. Over time, learners’ interactions with the TCC Web Portal will impact ERuDIte, forming a feedback cycle where both components improve each other and adapt to learners’ needs and demands. The blending of Artificial Intelligence techniques with highly targeted curation for resource discovery, retrieval, personalization, and organization distinguishes ERuDIte from MOOC aggregators and other resource collection initiatives.","abbreviation":"ERuDIte","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bigdatau.org","name":"BD2K Training Coordinating Center","type":"Help documentation"},{"url":"https://bioint.github.io/erudite-training-resource-standard/","name":"BD2K ERuDIte GitHub Webpage","type":"Github"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2023-04-13","deprecation_reason":"The program is no longer funded or active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001251","bsg-d001251"],"name":"FAIRsharing record for: Educational Resource Discovery Index","abbreviation":"ERuDIte","url":"https://fairsharing.org/10.25504/FAIRsharing.o8CuJ7","doi":"10.25504/FAIRsharing.o8CuJ7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ERuDIte is the educational resource discovery index that powers the BD2K Training Coordinating Center (TCC) Web Portal. ERuDIte not only serves as a resource collector and aggregator but also as a system powered by Machine Learning, Information Retrieval, and Natural Language Processing that intelligently organizes resources to provide a dynamic and personalized curriculum for biomedical researchers interested in learning about Data Science. ERuDIte provides the resource data that learners can discover on the TCC Web Portal. Over time, learners’ interactions with the TCC Web Portal will impact ERuDIte, forming a feedback cycle where both components improve each other and adapt to learners’ needs and demands. The blending of Artificial Intelligence techniques with highly targeted curation for resource discovery, retrieval, personalization, and organization distinguishes ERuDIte from MOOC aggregators and other resource collection initiatives.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Research on Teaching, Learning and Training","Education Science","Computer Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["data science","Education","personalization","Resource Discovery","Training"],"countries":["United States"],"publications":[{"id":2316,"pubmed_id":29218890,"title":"Democratizing data science through data science training.","year":2017,"url":"https://www.ncbi.nlm.nih.gov/pubmed/29218890","authors":"Van Horn JD,Fierro L,Kamdar J,Gordon J,Stewart C,Bhattrai A,Abe S,Lei X,O'Driscoll C,Sinha A,Jain P,Burns G,Lerman K,Ambite JL","journal":"Pac Symp Biocomput","doi":"https://doi.org/10.1142/9789813235533_0027","created_at":"2021-09-30T08:26:44.201Z","updated_at":"2021-09-30T08:26:44.201Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":848,"relation":"undefined"}],"grants":[{"id":3369,"fairsharing_record_id":2753,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:14.656Z","updated_at":"2021-09-30T09:32:04.368Z","grant_id":1455,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","grant":"5U24ES026465","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11536,"fairsharing_record_id":2753,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:09.993Z","updated_at":"2024-03-21T13:58:09.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2754","type":"fairsharing_records","attributes":{"created_at":"2019-01-05T16:28:39.000Z","updated_at":"2022-07-20T12:06:19.216Z","metadata":{"doi":"10.25504/FAIRsharing.OTYQFw","name":"WITHDRAWN: A Resource for Withdrawn and Discontinued Drugs","status":"deprecated","contacts":[{"contact_name":"Robert Preißner","contact_email":"robert.preissner@charite.de"}],"homepage":"http://cheminfo.charite.de/withdrawn/","citations":[{"doi":"10.1093/nar/gkv1192","pubmed_id":26553801,"publication_id":356}],"identifier":2754,"description":"WITHDRAWN is a database of withdrawn and discontinued drugs that were recalled from global markets due to safety concerns. The database serves as a useful resource with information about the therapeutic (or primary) targets, off-targets, toxicity types and biological pathways associated with the drugs in the database. Furthermore, genetic variations (SNPs) associated with the therapeutic and off-targets are presented within to shed light on the common genetic variations that could lead to toxicity and thereby to drug withdrawal or discontinuation in specific populations.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://cheminfo.charite.de/withdrawn/help_faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cheminfo.charite.de/withdrawn/statistics.html","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2022-02-07","deprecation_reason":"The homepage for this resource currently unavailable, but should be accessible in the future.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001252","bsg-d001252"],"name":"FAIRsharing record for: WITHDRAWN: A Resource for Withdrawn and Discontinued Drugs","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.OTYQFw","doi":"10.25504/FAIRsharing.OTYQFw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WITHDRAWN is a database of withdrawn and discontinued drugs that were recalled from global markets due to safety concerns. The database serves as a useful resource with information about the therapeutic (or primary) targets, off-targets, toxicity types and biological pathways associated with the drugs in the database. Furthermore, genetic variations (SNPs) associated with the therapeutic and off-targets are presented within to shed light on the common genetic variations that could lead to toxicity and thereby to drug withdrawal or discontinuation in specific populations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Metabolism","Biomedical Science"],"domains":["Drug report","Drug","Drug metabolic process","Toxicity","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug Target"],"countries":["Germany"],"publications":[{"id":356,"pubmed_id":26553801,"title":"WITHDRAWN--a resource for withdrawn and discontinued drugs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1192","authors":"Siramshetty VB,Nickel J,Omieczynski C,Gohlke BO,Drwal MN,Preissner R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1192","created_at":"2021-09-30T08:22:58.280Z","updated_at":"2021-09-30T11:28:45.709Z"}],"licence_links":[],"grants":[{"id":3371,"fairsharing_record_id":2754,"organisation_id":494,"relation":"maintains","created_at":"2021-09-30T09:26:14.736Z","updated_at":"2021-09-30T09:26:14.736Z","grant_id":null,"is_lead":true,"saved_state":{"id":494,"name":"Charite - University Medicine Berlin, Berlin, Germany","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2756","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T17:37:07.000Z","updated_at":"2023-12-15T10:31:41.936Z","metadata":{"doi":"10.25504/FAIRsharing.afc2b3","name":"Docker Hub","status":"ready","homepage":"https://hub.docker.com/","identifier":2756,"description":"Docker Hub is a library and community for sharing container images. It currently contains over 100,000 container images from software vendors, open-source projects, and the community. It has become a common way of sharing bioinformatics tools and resources in a way that reduces the difficulty of running these tools in a compute environment with the correct software dependencies.","abbreviation":"Docker Hub","data_curation":{"type":"manual","notes":"Docker Official Images are a curated set of Docker open source and drop-in solution repositories."},"support_links":[{"url":"https://www.docker.com/company/contact","name":"Contact form for DockerHub","type":"Contact form"},{"url":"https://forums.docker.com/c/docker-hub","name":"Docker Hub Forums","type":"Forum"},{"url":"https://docs.docker.com/docker-hub/","name":"Docker Hub Documentation","type":"Help documentation"},{"url":"https://twitter.com/docker","name":"@docker","type":"Twitter"}],"year_creation":2013,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001254","bsg-d001254"],"name":"FAIRsharing record for: Docker Hub","abbreviation":"Docker Hub","url":"https://fairsharing.org/10.25504/FAIRsharing.afc2b3","doi":"10.25504/FAIRsharing.afc2b3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Docker Hub is a library and community for sharing container images. It currently contains over 100,000 container images from software vendors, open-source projects, and the community. It has become a common way of sharing bioinformatics tools and resources in a way that reduces the difficulty of running these tools in a compute environment with the correct software dependencies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Computer Science","Software Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Docker Components and Licenses","licence_id":249,"licence_url":"https://www.docker.com/legal/components-licenses","link_id":312,"relation":"undefined"}],"grants":[{"id":3373,"fairsharing_record_id":2756,"organisation_id":777,"relation":"maintains","created_at":"2021-09-30T09:26:14.793Z","updated_at":"2021-09-30T09:26:14.793Z","grant_id":null,"is_lead":true,"saved_state":{"id":777,"name":"Docker, Inc.","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2744","type":"fairsharing_records","attributes":{"created_at":"2018-12-17T12:10:27.000Z","updated_at":"2023-12-15T10:30:36.289Z","metadata":{"doi":"10.25504/FAIRsharing.653ca1","name":"Human Reference Protein Interactome Mapping Project","status":"ready","contacts":[{"contact_name":"Michael Calderwood","contact_email":"michael_calderwood@dfci.harvard.edu","contact_orcid":"0000-0002-3803-0438"}],"homepage":"http://www.interactome-atlas.org/","citations":[],"identifier":2744,"description":"The Human Reference Protein Interactome Mapping Project (HuRI) is a repository, created by the Center for Cancer Systems Biology (CCSB) at Dana-Farber Cancer Institute, which stores the data from the ongoing work on the first complete reference map of the human protein-protein interactome network. All pairwise combinations of human protein-coding genes are systematically being interrogated to identify which are involved in binary protein-protein interactions. HuRI has grown in several distinct stages primarily defined by the number of human protein-coding genes amenable to screening for which at least one Gateway-cloned Open Reading Frame (ORF) was available at the time of the project. Three proteome-scale human PPI datasets are available via HuRI. PPI datasets generated in systematic screens on smaller sets of our human ORF collection have also been included. Also included are all PPIs identified in screens using different protein isoforms from the same gene as generated by alternative splicing.","abbreviation":"HuRI","data_curation":{"url":"http://www.interactome-atlas.org/about/","type":"manual"},"support_links":[{"url":"gary.bader@utoronto.ca","name":"Gary Bader","type":"Support email"},{"url":"http://www.interactome-atlas.org/faq/","name":"HuRI FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.interactome-atlas.org/about/","name":"About HuRI","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001242","bsg-d001242"],"name":"FAIRsharing record for: Human Reference Protein Interactome Mapping Project","abbreviation":"HuRI","url":"https://fairsharing.org/10.25504/FAIRsharing.653ca1","doi":"10.25504/FAIRsharing.653ca1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Reference Protein Interactome Mapping Project (HuRI) is a repository, created by the Center for Cancer Systems Biology (CCSB) at Dana-Farber Cancer Institute, which stores the data from the ongoing work on the first complete reference map of the human protein-protein interactome network. All pairwise combinations of human protein-coding genes are systematically being interrogated to identify which are involved in binary protein-protein interactions. HuRI has grown in several distinct stages primarily defined by the number of human protein-coding genes amenable to screening for which at least one Gateway-cloned Open Reading Frame (ORF) was available at the time of the project. Three proteome-scale human PPI datasets are available via HuRI. PPI datasets generated in systematic screens on smaller sets of our human ORF collection have also been included. Also included are all PPIs identified in screens using different protein isoforms from the same gene as generated by alternative splicing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Protein interaction","Interactome","Alternative splicing","High-throughput screening"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3342,"fairsharing_record_id":2744,"organisation_id":440,"relation":"maintains","created_at":"2021-09-30T09:26:14.000Z","updated_at":"2021-09-30T09:26:14.000Z","grant_id":null,"is_lead":true,"saved_state":{"id":440,"name":"Center of Cancer Systems Biology, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3344,"fairsharing_record_id":2744,"organisation_id":159,"relation":"maintains","created_at":"2021-09-30T09:26:14.050Z","updated_at":"2021-09-30T09:26:14.050Z","grant_id":null,"is_lead":false,"saved_state":{"id":159,"name":"Bader Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3340,"fairsharing_record_id":2744,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:13.950Z","updated_at":"2021-09-30T09:26:13.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3341,"fairsharing_record_id":2744,"organisation_id":408,"relation":"maintains","created_at":"2021-09-30T09:26:13.976Z","updated_at":"2021-09-30T09:26:13.976Z","grant_id":null,"is_lead":false,"saved_state":{"id":408,"name":"Center for Cancer Systems Biology, Boston, MA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3343,"fairsharing_record_id":2744,"organisation_id":1586,"relation":"maintains","created_at":"2021-09-30T09:26:14.027Z","updated_at":"2021-09-30T09:26:14.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":1586,"name":"Jan Tavernier Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3345,"fairsharing_record_id":2744,"organisation_id":2460,"relation":"maintains","created_at":"2021-09-30T09:26:14.081Z","updated_at":"2021-09-30T09:26:14.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":2460,"name":"Roth Laboratory","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2745","type":"fairsharing_records","attributes":{"created_at":"2018-12-17T13:06:34.000Z","updated_at":"2023-12-15T10:32:52.153Z","metadata":{"doi":"10.25504/FAIRsharing.0c6bc2","name":"FlyAtlas 2","status":"ready","contacts":[{"contact_name":"Julian A T Dow","contact_email":"julian.dow@glasgow.ac.uk","contact_orcid":"0000-0002-9595-5146"}],"homepage":"http://flyatlas.gla.ac.uk/FlyAtlas2/index.html","citations":[{"doi":"10.1093/nar/gkx976","pubmed_id":29069479,"publication_id":2463}],"identifier":2745,"description":"FlyAtlas 2 is the RNA-Seq successor to the original FlyAtlas (which was based on microarray analysis). Specifically, FlyAtlas 2 now provides access to: transcript information, sex-specific data for adult somatic tissues, and micro-RNA genes. FlyAtlas2 supports search by gene, category or tissue; and functionality has been improved through mobile support and the option to download results in spreadsheet format. Gene coverage has been extended by the inclusion of microRNAs and many of the RNA genes included in Release 6 of the Drosophila reference genome. The web interface has been modified to accommodate the extra data, but at the same time has been adapted for viewing on small mobile devices. Users also have access to the RNA-Seq reads displayed alongside the annotated Drosophila genome in the (external) UCSC browser, and are able to link out to the previous FlyAtlas resource to compare the data obtained by RNA-Seq with that obtained using microarrays.","abbreviation":"FlyAtlas 2","data_curation":{"url":"https://flyatlas.gla.ac.uk/FlyAtlas2/index.html?page=help#mobileTargetP","type":"automated"},"support_links":[{"url":"http://flyatlas.gla.ac.uk/FlyAtlas2/index.html?page=contact","name":"Feedback Form","type":"Contact form"},{"url":"http://flyatlas.gla.ac.uk/FlyAtlas2/index.html?page=help","name":"FlyAtlas 2 Documentation","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001243","bsg-d001243"],"name":"FAIRsharing record for: FlyAtlas 2","abbreviation":"FlyAtlas 2","url":"https://fairsharing.org/10.25504/FAIRsharing.0c6bc2","doi":"10.25504/FAIRsharing.0c6bc2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FlyAtlas 2 is the RNA-Seq successor to the original FlyAtlas (which was based on microarray analysis). Specifically, FlyAtlas 2 now provides access to: transcript information, sex-specific data for adult somatic tissues, and micro-RNA genes. FlyAtlas2 supports search by gene, category or tissue; and functionality has been improved through mobile support and the option to download results in spreadsheet format. Gene coverage has been extended by the inclusion of microRNAs and many of the RNA genes included in Release 6 of the Drosophila reference genome. The web interface has been modified to accommodate the extra data, but at the same time has been adapted for viewing on small mobile devices. Users also have access to the RNA-Seq reads displayed alongside the annotated Drosophila genome in the (external) UCSC browser, and are able to link out to the previous FlyAtlas resource to compare the data obtained by RNA-Seq with that obtained using microarrays.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Transcriptomics","Biology"],"domains":["RNA sequencing","Microarray experiment","DNA microarray","Micro RNA"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1460,"pubmed_id":17534367,"title":"Using FlyAtlas to identify better Drosophila melanogaster models of human disease.","year":2007,"url":"http://doi.org/10.1038/ng2049","authors":"Chintapalli VR,Wang J,Dow JA","journal":"Nat Genet","doi":"10.1038/ng2049","created_at":"2021-09-30T08:25:03.161Z","updated_at":"2021-09-30T08:25:03.161Z"},{"id":2463,"pubmed_id":29069479,"title":"FlyAtlas 2: a new version of the Drosophila melanogaster expression atlas with RNA-Seq, miRNA-Seq and sex-specific data.","year":2017,"url":"http://doi.org/10.1093/nar/gkx976","authors":"Leader DP,Krause SA,Pandit A,Davies SA,Dow JAT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx976","created_at":"2021-09-30T08:27:02.067Z","updated_at":"2021-09-30T11:29:36.638Z"},{"id":2464,"pubmed_id":23203866,"title":"FlyAtlas: database of gene expression in the tissues of Drosophila melanogaster.","year":2012,"url":"http://doi.org/10.1093/nar/gks1141","authors":"Robinson SW,Herzyk P,Dow JA,Leader DP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1141","created_at":"2021-09-30T08:27:02.166Z","updated_at":"2021-09-30T11:29:36.738Z"}],"licence_links":[],"grants":[{"id":3347,"fairsharing_record_id":2745,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:14.144Z","updated_at":"2021-09-30T09:30:40.340Z","grant_id":814,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K019953/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3346,"fairsharing_record_id":2745,"organisation_id":1430,"relation":"maintains","created_at":"2021-09-30T09:26:14.114Z","updated_at":"2021-09-30T09:26:14.114Z","grant_id":null,"is_lead":true,"saved_state":{"id":1430,"name":"Institute of Molecular, Cell and Systems Biology (IMCSB), College of Medical, Veterinary \u0026 Life Sciences, University of Glasgow, United Kingdom","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2746","type":"fairsharing_records","attributes":{"created_at":"2018-12-17T13:19:43.000Z","updated_at":"2023-12-15T10:30:21.507Z","metadata":{"doi":"10.25504/FAIRsharing.14c4ca","name":"Fly-FISH","status":"ready","contacts":[{"contact_name":"Henry Krause","contact_email":"h.krause@utoronto.ca","contact_orcid":"0000-0002-6182-7074"}],"homepage":"http://fly-fish.ccbr.utoronto.ca/","identifier":2746,"description":"Fly-FISH documents the expression and localization patterns of Drosophila mRNAs at the cellular and subcellular level during early embryogenesis and third instar larval tissues. A high-resolution, high-throughput fluorescence detection method is used to detect expressed mRNAs. The data can be accessed by searching the localization categories, searching for specific genes or browsing the list of tested genes.","abbreviation":"Fly-FISH","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.youtube.com/watch?v=ox27uj3fgcc","name":"RNA patterns movie","type":"Video"},{"url":"http://fly-fish.ccbr.utoronto.ca/static/pdf/lecuyer-et-al-2008.pdf","name":"In Situ Protocol for Embryos","type":"Help documentation"},{"url":"http://fly-fish.ccbr.utoronto.ca/static/pdf/wilk-et-al-2010.pdf","name":"In Situ Protocol for Embryos and Larval Tissues","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013919","name":"re3data:r3d100013919","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001244","bsg-d001244"],"name":"FAIRsharing record for: Fly-FISH","abbreviation":"Fly-FISH","url":"https://fairsharing.org/10.25504/FAIRsharing.14c4ca","doi":"10.25504/FAIRsharing.14c4ca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Fly-FISH documents the expression and localization patterns of Drosophila mRNAs at the cellular and subcellular level during early embryogenesis and third instar larval tissues. A high-resolution, high-throughput fluorescence detection method is used to detect expressed mRNAs. The data can be accessed by searching the localization categories, searching for specific genes or browsing the list of tested genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Expression data","Bioimaging","Cellular localization","In situ hybridization","Fluorescence","Messenger RNA"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":2485,"pubmed_id":17923096,"title":"Global analysis of mRNA localization reveals a prominent role in organizing cellular architecture and function.","year":2007,"url":"http://doi.org/10.1016/j.cell.2007.08.003","authors":"Lecuyer E,Yoshida H,Parthasarathy N,Alm C,Babak T,Cerovina T,Hughes TR,Tomancak P,Krause HM","journal":"Cell","doi":"10.1016/j.cell.2007.08.003","created_at":"2021-09-30T08:27:04.711Z","updated_at":"2021-09-30T08:27:04.711Z"},{"id":2494,"pubmed_id":26944682,"title":"Diverse and pervasive subcellular distributions for both coding and long noncoding RNAs.","year":2016,"url":"http://doi.org/10.1101/gad.276931.115","authors":"Wilk R,Hu J,Blotsky D,Krause HM","journal":"Genes Dev","doi":"10.1101/gad.276931.115","created_at":"2021-09-30T08:27:05.853Z","updated_at":"2021-09-30T08:27:05.853Z"}],"licence_links":[],"grants":[{"id":3348,"fairsharing_record_id":2746,"organisation_id":1649,"relation":"maintains","created_at":"2021-09-30T09:26:14.173Z","updated_at":"2021-09-30T09:26:14.173Z","grant_id":null,"is_lead":true,"saved_state":{"id":1649,"name":"Krause Lab, University of Toronto, Canada","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2747","type":"fairsharing_records","attributes":{"created_at":"2018-12-18T11:31:11.000Z","updated_at":"2024-01-03T07:58:10.196Z","metadata":{"doi":"10.25504/FAIRsharing.Q86Asf","name":"Regulatory Element Database for Drosophila","status":"ready","contacts":[{"contact_name":"Marc Halfon","contact_email":"redflyteam@gmail.com","contact_orcid":"0000-0002-4149-2705"}],"homepage":"http://redfly.ccr.buffalo.edu/","citations":[{"doi":"10.3390/insects13070618","pubmed_id":35886794,"publication_id":4072}],"identifier":2747,"description":"REDfly is a curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). REDfly seeks to include all experimentally verified fly regulatory elements along with their DNA sequence, their associated genes, and the expression patterns they direct.","abbreviation":"REDfly","data_curation":{"url":"http://redfly.ccr.buffalo.edu/help.php","type":"manual"},"support_links":[{"url":"http://redfly.ccr.buffalo.edu/contact.php","name":"Contact Form","type":"Contact form"},{"url":"http://redfly.ccr.buffalo.edu/help.php","name":"Help Pages","type":"Help documentation"},{"url":"http://redfly.ccr.buffalo.edu/news.php","name":"News and Release Notes","type":"Help documentation"},{"url":"http://redfly.ccr.buffalo.edu/aboutus.php","name":"About REDfly","type":"Help documentation"},{"url":"https://twitter.com/REDfly_database","name":"@REDfly_database","type":"Twitter"},{"url":"https://mstdn.science/@REDfly","name":"@REDfly@mstdn.science ","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001245","bsg-d001245"],"name":"FAIRsharing record for: Regulatory Element Database for Drosophila","abbreviation":"REDfly","url":"https://fairsharing.org/10.25504/FAIRsharing.Q86Asf","doi":"10.25504/FAIRsharing.Q86Asf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REDfly is a curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). REDfly seeks to include all experimentally verified fly regulatory elements along with their DNA sequence, their associated genes, and the expression patterns they direct.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20014}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Integration","Bioinformatics","Genetics","Life Science","Molecular Genetics","Biology"],"domains":["DNA sequence data","Regulation of gene expression","Biological regulation","Transcription factor","Gene regulatory element","Sequence feature","Binding site","Sequence motif","Regulatory region","Literature curation"],"taxonomies":["Aedes aegypti","Anopheles gambiae","Drosophila melanogaster","Tribolium castaneum"],"user_defined_tags":["cis-regulatory modules"],"countries":["United States"],"publications":[{"id":2478,"pubmed_id":30329093,"title":"REDfly: the transcriptional regulatory element database for Drosophila.","year":2018,"url":"http://doi.org/10.1093/nar/gky957","authors":"Rivera J,Keranen SVE,Gallo SM,Halfon MS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky957","created_at":"2021-09-30T08:27:03.820Z","updated_at":"2021-09-30T11:29:37.428Z"},{"id":2479,"pubmed_id":16303794,"title":"REDfly: a Regulatory Element Database for Drosophila.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti794","authors":"Gallo SM,Li L,Hu Z,Halfon MS","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti794","created_at":"2021-09-30T08:27:04.003Z","updated_at":"2021-09-30T08:27:04.003Z"},{"id":2481,"pubmed_id":18039705,"title":"REDfly 2.0: an integrated database of cis-regulatory modules and transcription factor binding sites in Drosophila.","year":2007,"url":"http://doi.org/10.1093/nar/gkm876","authors":"Halfon MS,Gallo SM,Bergman CM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm876","created_at":"2021-09-30T08:27:04.267Z","updated_at":"2021-09-30T11:29:37.519Z"},{"id":2482,"pubmed_id":20965965,"title":"REDfly v3.0: toward a comprehensive database of transcriptional regulatory elements in Drosophila.","year":2010,"url":"http://doi.org/10.1093/nar/gkq999","authors":"Gallo SM,Gerrard DT,Miner D,Simich M,Des Soye B,Bergman CM,Halfon MS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq999","created_at":"2021-09-30T08:27:04.383Z","updated_at":"2021-09-30T11:29:37.611Z"},{"id":4072,"pubmed_id":35886794,"title":"REDfly: An Integrated Knowledgebase for Insect Regulatory Genomics.","year":2022,"url":"https://doi.org/10.3390/insects13070618","authors":"Keränen SVE, Villahoz-Baleta A, Bruno AE, Halfon MS","journal":"Insects","doi":"10.3390/insects13070618","created_at":"2023-12-19T15:40:53.149Z","updated_at":"2023-12-19T15:40:53.149Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":964,"relation":"undefined"}],"grants":[{"id":3349,"fairsharing_record_id":2747,"organisation_id":415,"relation":"maintains","created_at":"2021-09-30T09:26:14.202Z","updated_at":"2021-09-30T09:26:14.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":415,"name":"Center for Computational Research, University of Buffalo, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3350,"fairsharing_record_id":2747,"organisation_id":1208,"relation":"maintains","created_at":"2021-09-30T09:26:14.226Z","updated_at":"2021-09-30T09:26:14.226Z","grant_id":null,"is_lead":true,"saved_state":{"id":1208,"name":"Halfon Lab, University of Buffalo, United States","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2748","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T08:39:20.000Z","updated_at":"2023-12-15T10:28:58.237Z","metadata":{"doi":"10.25504/FAIRsharing.9btRvC","name":"China National GeneBank DataBase","status":"ready","contacts":[{"contact_name":"Vincent Wei","contact_email":"weixiaofeng@cngb.org","contact_orcid":"0000-0002-6741-5505"}],"homepage":"https://db.cngb.org/","citations":[{"doi":"10.16288/j.yczz.20-080","pubmed_id":32952115,"publication_id":3763}],"identifier":2748,"description":"The China National GeneBank database (CNGBdb) is a unified platform for biological big data sharing and application services. At present, CNGBdb has integrated a large amount of internal and external biological data from resources such as CNGB, NCBI, and the EBI. There are a number of sub databases in CNGBdb, including literature, variation, gene, genome, protein, sequence, organism, project, sample, experiment, run, and assembly. Based on underlying big data and cloud computing technologies, it provides various data services, including archive, analysis, knowledge search, management authorization of biological data. CNGBdb adopts data structures and standards of international omics, health, and medicine, such as The International Nucleotide Sequence Database Collaboration (INSDC), The Global Alliance for Genomics and Health GA4GH (GA4GH), Global Genome Biodiversity Network (GGBN), American College of Medical Genetics and Genomics (ACMG), and constructs standardized data and structures with wide compatibility. All public data and data services provided by CNGBdb are freely available to all users worldwide.\nCNGB Sequence Archive (CNSA) is the bionomics data repository of CNGBdb.\nCNGB Sequence Archive (CNSA) is a convenient and efficient archiving system of multi-omics data in life science, which provides archiving services for raw sequencing reads and further analyzed results. CNSA follows the international data standards for omics data, and supports online and batch submission of multiple data types such as Project, Sample, Experiment/Run, Assembly, Variation, Metabolism, Single cell, and Sequence. Moreover, CNSA has achieved the correlation of sample entities, sample information, and analyze data on some projects. Its data submission service can be used as a supplement to the literature publishing process to support early data sharing.","abbreviation":"CNGBdb","data_curation":{"type":"manual/automated"},"support_links":[{"url":"CNGBdb@cngb.org","name":"CNGBdb Support Mail","type":"Support email"},{"url":"https://db.cngb.org/faq/","name":"faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://db.cngb.org/handbook/","name":"Handbook","type":"Help documentation"},{"url":"https://db.cngb.org/data_standard/","name":"Data Standards Used","type":"Help documentation"},{"url":"https://db.cngb.org/news/","name":"News","type":"Help documentation"},{"url":"https://db.cngb.org/about/","name":"About Us","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"https://db.cngb.org/blast/blast/blastn/","name":"BLAST"},{"url":"https://db.cngb.org/pvd/","name":"Pathogen Variation"},{"url":"https://db.cngb.org/dissect/","name":"DISSECT"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012917","name":"re3data:r3d100012917","portal":"re3data"}],"data_access_condition":{"url":"https://db.cngb.org/data_instructions/","type":"partially open","notes":"All public data and data services provided by CNGBdb are freely available to all users worldwide."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://db.cngb.org/cnsa/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001246","bsg-d001246"],"name":"FAIRsharing record for: China National GeneBank DataBase","abbreviation":"CNGBdb","url":"https://fairsharing.org/10.25504/FAIRsharing.9btRvC","doi":"10.25504/FAIRsharing.9btRvC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The China National GeneBank database (CNGBdb) is a unified platform for biological big data sharing and application services. At present, CNGBdb has integrated a large amount of internal and external biological data from resources such as CNGB, NCBI, and the EBI. There are a number of sub databases in CNGBdb, including literature, variation, gene, genome, protein, sequence, organism, project, sample, experiment, run, and assembly. Based on underlying big data and cloud computing technologies, it provides various data services, including archive, analysis, knowledge search, management authorization of biological data. CNGBdb adopts data structures and standards of international omics, health, and medicine, such as The International Nucleotide Sequence Database Collaboration (INSDC), The Global Alliance for Genomics and Health GA4GH (GA4GH), Global Genome Biodiversity Network (GGBN), American College of Medical Genetics and Genomics (ACMG), and constructs standardized data and structures with wide compatibility. All public data and data services provided by CNGBdb are freely available to all users worldwide.\nCNGB Sequence Archive (CNSA) is the bionomics data repository of CNGBdb.\nCNGB Sequence Archive (CNSA) is a convenient and efficient archiving system of multi-omics data in life science, which provides archiving services for raw sequencing reads and further analyzed results. CNSA follows the international data standards for omics data, and supports online and batch submission of multiple data types such as Project, Sample, Experiment/Run, Assembly, Variation, Metabolism, Single cell, and Sequence. Moreover, CNSA has achieved the correlation of sample entities, sample information, and analyze data on some projects. Its data submission service can be used as a supplement to the literature publishing process to support early data sharing.","linked_records":[],"linking_records":[{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12960}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Data Integration","Epigenomics","Metagenomics","Genomics","Data Management","Proteomics","Life Science","Metabolomics","Transcriptomics","Comparative Genomics","Omics"],"domains":["Taxonomic classification","Resource metadata","Nucleic acid sequence","Experimental measurement","Omics data analysis","Sequencing read","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":3759,"pubmed_id":35512705,"title":"Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays.","year":2022,"url":"https://doi.org/10.1016/j.cell.2022.04.003","authors":"Chen A, Liao S, Cheng M, Ma K, Wu L, Lai Y, Qiu X, Yang J, Xu J, Hao S, Wang X, Lu H, Chen X, Liu X, Huang X, Li Z, Hong Y, Jiang Y, Peng J, Liu S, Shen M, Liu C, Li Q, Yuan Y, Wei X, Zheng H, Feng W, Wang Z, Liu Y, Wang Z, Yang Y, Xiang H, Han L, Qin B, Guo P, Lai G, Muñoz-Cánoves P, Maxwell PH, Thiery JP, Wu QF, Zhao F, Chen B, Li M, Dai X, Wang S, Kuang H, Hui J, Wang L, Fei JF, Wang O, Wei X, Lu H, Wang B, Liu S, Gu Y, Ni M, Zhang W, Mu F, Yin Y, Yang H, Lisby M, Cornall RJ, Mulder J, Uhlén M, Esteban MA, Li Y, Liu L, Xu X, Wang J","journal":"Cell","doi":"10.1016/j.cell.2022.04.003","created_at":"2023-01-04T07:20:26.480Z","updated_at":"2023-01-04T07:20:26.480Z"},{"id":3760,"pubmed_id":31373607,"title":"PIRD: Pan Immune Repertoire Database.","year":2020,"url":"https://doi.org/10.1093/bioinformatics/btz614","authors":"Zhang W, Wang L, Liu K, Wei X, Yang K, Du W, Wang S, Guo N, Ma C, Luo L, Wu J, Lin L, Yang F, Gao F, Wang X, Li T, Zhang R, Saksena NK, Yang H, Wang J, Fang L, Hou Y, Xu X, Liu X","journal":"Bioinformatics (Oxford, England)","doi":"10.1093/bioinformatics/btz614","created_at":"2023-01-04T07:20:58.768Z","updated_at":"2023-01-04T07:20:58.768Z"},{"id":3761,"pubmed_id":34973426,"title":"CDCP: a visualization and analyzing platform for single-cell datasets.","year":2022,"url":"https://doi.org/10.1016/j.jgg.2021.12.004","authors":"Li Y, Yang T, Lai T, You L, Yang F, Qiu J, Wang L, Du W, Hua C, Xu Z, Cai J, Li Z, Liu Y, Li L, Zhang M, Chen J, Zhang L, Chen D, Wang W, Liu S, Wu L, Zeng W, Wang B, Wei X, Liu L, Chen F","journal":"Journal of genetics and genomics = Yi chuan xue bao","doi":"10.1016/j.jgg.2021.12.004","created_at":"2023-01-04T07:21:07.341Z","updated_at":"2023-01-04T07:21:07.341Z"},{"id":3762,"pubmed_id":32705130,"title":"CNSA: a data repository for archiving omics data.","year":2020,"url":"https://doi.org/10.1093/database/baaa055","authors":"Guo X, Chen F, Gao F, Li L, Liu K, You L, Hua C, Yang F, Liu W, Peng C, Wang L, Yang X, Zhou F, Tong J, Cai J, Li Z, Wan B, Zhang L, Yang T, Zhang M, Yang L, Yang Y, Zeng W, Wang B, Wei X, Xu X","journal":"Database : the journal of biological databases and curation","doi":"10.1093/database/baaa055","created_at":"2023-01-04T07:21:43.251Z","updated_at":"2023-01-04T07:21:43.251Z"},{"id":3763,"pubmed_id":32952115,"title":"CNGBdb: China National GeneBank DataBase.","year":2020,"url":"https://doi.org/10.16288/j.yczz.20-080","authors":"Chen FZ, You LJ, Yang F, Wang LN, Guo XQ, Gao F, Hua C, Tan C, Fang L, Shan RQ, Zeng WJ, Wang B, Wang R, Xu X, Wei XF","journal":"Yi chuan = Hereditas","doi":"10.16288/j.yczz.20-080","created_at":"2023-01-04T07:22:10.096Z","updated_at":"2023-01-04T07:22:10.096Z"}],"licence_links":[{"licence_name":"CNGB Privacy and security policy","licence_id":137,"licence_url":"https://db.cngb.org/policy/","link_id":2265,"relation":"undefined"},{"licence_name":"CNGB Terms and conditions","licence_id":138,"licence_url":"https://db.cngb.org/terms/","link_id":2266,"relation":"undefined"},{"licence_name":"CNGB User notice","licence_id":139,"licence_url":"https://db.cngb.org/user_notice/","link_id":2264,"relation":"undefined"}],"grants":[{"id":3354,"fairsharing_record_id":2748,"organisation_id":509,"relation":"maintains","created_at":"2021-09-30T09:26:14.326Z","updated_at":"2021-09-30T09:26:14.326Z","grant_id":null,"is_lead":true,"saved_state":{"id":509,"name":"China National GeneBank, Shenzhen, China","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":10290,"fairsharing_record_id":2748,"organisation_id":3854,"relation":"funds","created_at":"2023-01-04T07:18:24.338Z","updated_at":"2023-01-04T07:18:24.338Z","grant_id":1932,"is_lead":false,"saved_state":{"id":3854,"name":"Department of Science and Technology of Guangdong province","grant":"Guangdong Genome Science Data Center","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3353,"fairsharing_record_id":2748,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:26:14.300Z","updated_at":"2021-09-30T09:30:31.116Z","grant_id":744,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"U1301252","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa1lDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ca43973e3a17be758214ec39e26582e6e7da267f/CNGBdb%20logo%20%E6%A0%87%E5%87%86.png?disposition=inline","exhaustive_licences":false}},{"id":"2760","type":"fairsharing_records","attributes":{"created_at":"2019-03-28T14:52:41.000Z","updated_at":"2024-03-17T17:05:27.027Z","metadata":{"doi":"10.25504/FAIRsharing.lone3g","name":"e-cienciaDatos","status":"ready","contacts":[{"contact_name":"Juan Corrales","contact_email":"eciencia@consorciomadrono.es"}],"homepage":"https://edatos.consorciomadrono.es/","citations":[],"identifier":2760,"description":"e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data. The purpose of this repository is to ensure data preservation and to facilitate data access and reuse. e-cienciaDatos collects datasets from of each of the member universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.","abbreviation":"e-cienciaDatos","data_curation":{"url":"http://www.consorciomadrono.es/docs/eCienciaDatosTechnicalDescription.pdf","type":"manual/automated"},"support_links":[{"url":"http://guides.dataverse.org/en/4.11/user/","name":"User Guide","type":"Help documentation"},{"url":"http://www.consorciomadrono.es/docs/eCienciaDatosTechnicalDescription.pdf","name":"Technical Description","type":"Help documentation"},{"url":"https://edatos.consorciomadrono.es/resources/txt/guiaEcienciaDatos.pdf","name":"Manual (in spanish)","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012316","name":"re3data:r3d100012316","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"http://www.consorciomadrono.es/docs/PreservationPlan.pdf","name":"Data Preservation Plan"},"data_deposition_condition":{"type":"controlled","notes":"depositon from partner institutions only"},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://amt.coretrustseal.org/certificates","name":"CoreTrustSeal"}],"data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001258","bsg-d001258"],"name":"FAIRsharing record for: e-cienciaDatos","abbreviation":"e-cienciaDatos","url":"https://fairsharing.org/10.25504/FAIRsharing.lone3g","doi":"10.25504/FAIRsharing.lone3g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data. The purpose of this repository is to ensure data preservation and to facilitate data access and reuse. e-cienciaDatos collects datasets from of each of the member universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Humanities and Social Science","Astrophysics and Astronomy","Earth Science","Life Science","Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Geospatial Data","institutional repository"],"countries":["Spain"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3182,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":3181,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3183,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3115,"relation":"applies_to_content"}],"grants":[{"id":3381,"fairsharing_record_id":2760,"organisation_id":2961,"relation":"maintains","created_at":"2021-09-30T09:26:14.993Z","updated_at":"2021-09-30T09:26:14.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2961,"name":"Universidad Autonoma de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3384,"fairsharing_record_id":2760,"organisation_id":1742,"relation":"maintains","created_at":"2021-09-30T09:26:15.068Z","updated_at":"2021-09-30T09:26:15.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":1742,"name":"Madroño Consorcio, Madrid, Spain","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3380,"fairsharing_record_id":2760,"organisation_id":2964,"relation":"maintains","created_at":"2021-09-30T09:26:14.969Z","updated_at":"2021-09-30T09:26:14.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":2964,"name":"Universidad de Alcala, Madrid, Spain","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3382,"fairsharing_record_id":2760,"organisation_id":2962,"relation":"maintains","created_at":"2021-09-30T09:26:15.018Z","updated_at":"2021-09-30T09:26:15.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":2962,"name":"Universidad Carlos III de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3383,"fairsharing_record_id":2760,"organisation_id":2967,"relation":"maintains","created_at":"2021-09-30T09:26:15.043Z","updated_at":"2021-09-30T09:26:15.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":2967,"name":"Universidad Nacional de Educacion a Distancia (UNED)","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3385,"fairsharing_record_id":2760,"organisation_id":2968,"relation":"maintains","created_at":"2021-09-30T09:26:15.094Z","updated_at":"2021-09-30T09:26:15.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":2968,"name":"Universidad Politecnica de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3386,"fairsharing_record_id":2760,"organisation_id":3156,"relation":"maintains","created_at":"2021-09-30T09:26:15.120Z","updated_at":"2021-09-30T09:26:15.120Z","grant_id":null,"is_lead":false,"saved_state":{"id":3156,"name":"University Rey Juan Carlos","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdm9EIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--cd8dc68bb00dc8ac7b9b798d83c3f8837b92dfce/logo-ecienciaDatosv2.jpg?disposition=inline","exhaustive_licences":true}},{"id":"2761","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T17:53:06.000Z","updated_at":"2024-03-21T13:59:36.678Z","metadata":{"doi":"10.25504/FAIRsharing.Yedluf","name":"Clinical Interpretation of Variants in Cancer","status":"ready","contacts":[{"contact_name":"Malachi Griffith","contact_email":"help@civicdb.org","contact_orcid":"0000-0002-6388-446X"}],"homepage":"https://civicdb.org/","citations":[{"doi":"10.1038/ng.3774","pubmed_id":28138153,"publication_id":1771}],"identifier":2761,"description":"CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of inherited and somatic variants of all types. Realizing precision medicine will require information to be centralized, debated and interpreted for application in the clinic. CIViC is an open access, open source, community-driven web resource for Clinical Interpretation of Variants in Cancer. Our goal is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations.","abbreviation":"CIViC","data_curation":{"url":"https://civic.readthedocs.io/en/latest/curating.html","type":"manual"},"support_links":[{"url":"https://civicdb.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://civicdb.org/help/introduction","name":"Introduction to CIViC","type":"Help documentation"},{"url":"https://civicdb.org/glossary","name":"Glossary","type":"Help documentation"},{"url":"https://civicdb.org/contact","name":"CIViC contact page","type":"Help documentation"},{"url":"https://griffithlab.github.io/civic-api-docs/","name":"API documentation","type":"Github"},{"url":"https://civicdb.org/community/main","name":"Community Information","type":"Help documentation"},{"url":"https://civicdb.org/participate","name":"How to Contribute","type":"Help documentation"},{"url":"https://civicdb.org/statistics/evidence","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"url":"https://civicdb.org/pages/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001259","bsg-d001259"],"name":"FAIRsharing record for: Clinical Interpretation of Variants in Cancer","abbreviation":"CIViC","url":"https://fairsharing.org/10.25504/FAIRsharing.Yedluf","doi":"10.25504/FAIRsharing.Yedluf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of inherited and somatic variants of all types. Realizing precision medicine will require information to be centralized, debated and interpreted for application in the clinic. CIViC is an open access, open source, community-driven web resource for Clinical Interpretation of Variants in Cancer. Our goal is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12835},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16209}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Bioinformatics","Comparative Genomics","Translational Medicine"],"domains":["Cancer","Diagnosis","Genome","Sequence variant"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1771,"pubmed_id":28138153,"title":"CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer.","year":2017,"url":"http://doi.org/10.1038/ng.3774","authors":"Griffith M,Spies NC,Krysiak K,McMichael JF,Coffman AC,Danos AM,Ainscough BJ,Ramirez CA,Rieke DT,Kujan L,Barnell EK,Wagner AH,Skidmore ZL,Wollam A,Liu CJ,Jones MR,Bilski RL,Lesurf R,Feng YY,Shah NM,Bonakdar M,Trani L,Matlock M,Ramu A,Campbell KM,Spies GC,Graubert AP,Gangavarapu K,Eldred JM,Larson DE,Walker JR,Good BM,Wu C,Su AI,Dienstmann R,Margolin AA,Tamborero D,Lopez-Bigas N,Jones SJ,Bose R,Spencer DH,Wartman LD,Wilson RK,Mardis ER,Griffith OL","journal":"Nat Genet","doi":"10.1038/ng.3774","created_at":"2021-09-30T08:25:38.696Z","updated_at":"2021-09-30T08:25:38.696Z"},{"id":2391,"pubmed_id":30311370,"title":"Adapting crowdsourced clinical cancer curation in CIViC to the ClinGen minimum variant level data community-driven standards.","year":2018,"url":"http://doi.org/10.1002/humu.23651","authors":"Danos AM,Ritter DI,Wagner AH,Krysiak K,Sonkin D,Micheel C,McCoy M,Rao S,Raca G,Boca SM,Roy A,Barnell EK,McMichael JF,Kiwala S,Coffman AC,Kujan L,Kulkarni S,Griffith M,Madhavan S,Griffith OL","journal":"Hum Mutat","doi":"10.1002/humu.23651","created_at":"2021-09-30T08:26:53.684Z","updated_at":"2021-09-30T08:26:53.684Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":956,"relation":"undefined"}],"grants":[{"id":3387,"fairsharing_record_id":2761,"organisation_id":1801,"relation":"maintains","created_at":"2021-09-30T09:26:15.148Z","updated_at":"2021-09-30T09:26:15.148Z","grant_id":null,"is_lead":true,"saved_state":{"id":1801,"name":"McDonnell Genome Institute at Washington University School of Medicine, St, Louis, MO, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3388,"fairsharing_record_id":2761,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:15.199Z","updated_at":"2021-09-30T09:29:20.904Z","grant_id":206,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","grant":"U01CA20993601","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11610,"fairsharing_record_id":2761,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:36.560Z","updated_at":"2024-03-21T13:59:36.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2762","type":"fairsharing_records","attributes":{"created_at":"2019-04-15T12:08:51.000Z","updated_at":"2023-12-15T10:30:42.528Z","metadata":{"doi":"10.25504/FAIRsharing.84Gh9z","name":"AHCODA-DB","status":"ready","contacts":[{"contact_name":"Bastijn Koopmans","contact_email":"bastijn.koopmans@sylics.com","contact_orcid":"0000-0001-8638-9798"}],"homepage":"https://public.sylics.com/","citations":[{"doi":"10.1186/s12859-017-1612-1","pubmed_id":28376796,"publication_id":2330}],"identifier":2762,"description":"AHCODA-DB is a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data. It provides users with tools to systematically explore mouse behavioural data, both with positive and negative outcome, published and unpublished, across time and experiments with single mouse resolution.","abbreviation":"AHCODA-DB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://mousedata.sylics.com/support/","name":"Support","type":"Contact form"},{"url":"https://public.sylics.com/?page=about","name":"About AHCODA-DB","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://public.sylics.com/?page=zscores","name":"Retrieve Z-Scores / Effect Sizes"}],"data_access_condition":{"url":"https://public.sylics.com/?page=about","type":"partially open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://public.sylics.com/?page=about","type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001260","bsg-d001260"],"name":"FAIRsharing record for: AHCODA-DB","abbreviation":"AHCODA-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.84Gh9z","doi":"10.25504/FAIRsharing.84Gh9z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AHCODA-DB is a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data. It provides users with tools to systematically explore mouse behavioural data, both with positive and negative outcome, published and unpublished, across time and experiments with single mouse resolution.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social and Behavioural Science","Phenomics","Neuroscience"],"domains":["Behavior","Cognition"],"taxonomies":["Mus musculus","Rattus rattus"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":2330,"pubmed_id":28376796,"title":"AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data.","year":2017,"url":"http://doi.org/10.1186/s12859-017-1612-1","authors":"Koopmans B, Smit AB, Verhage M, Loos M","journal":"BMC Bioinformatics","doi":"10.1186/s12859-017-1612-1","created_at":"2021-09-30T08:26:46.101Z","updated_at":"2021-09-30T08:26:46.101Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1704,"relation":"undefined"}],"grants":[{"id":3390,"fairsharing_record_id":2762,"organisation_id":2692,"relation":"maintains","created_at":"2021-09-30T09:26:15.270Z","updated_at":"2021-09-30T09:26:15.270Z","grant_id":null,"is_lead":true,"saved_state":{"id":2692,"name":"Sylics","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3391,"fairsharing_record_id":2762,"organisation_id":2125,"relation":"funds","created_at":"2021-09-30T09:26:15.303Z","updated_at":"2021-09-30T09:29:04.467Z","grant_id":81,"is_lead":false,"saved_state":{"id":2125,"name":"Netherlands Enterprise Agency (RVO), Assen, the Netherlands","grant":"BSIK03053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3392,"fairsharing_record_id":2762,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:15.326Z","updated_at":"2021-09-30T09:30:47.940Z","grant_id":876,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"HEALTH-F2-2009-241498","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7944,"fairsharing_record_id":2762,"organisation_id":2125,"relation":"funds","created_at":"2021-09-30T09:29:59.702Z","updated_at":"2021-09-30T09:29:59.746Z","grant_id":504,"is_lead":false,"saved_state":{"id":2125,"name":"Netherlands Enterprise Agency (RVO), Assen, the Netherlands","grant":"Dutch Data Prize 2016","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2749","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T12:59:50.000Z","updated_at":"2023-08-05T08:41:00.601Z","metadata":{"doi":"10.25504/FAIRsharing.91a79b","name":"Collaborative Open Plant Omics","status":"ready","contacts":[{"contact_name":"Felix Shaw","contact_email":"felix.shaw@earlham.ac.uk","contact_orcid":"0000-0001-9649-5906"}],"homepage":"https://copo-project.org/","citations":[{"publication_id":536}],"identifier":2749,"description":"COPO is a portal for plant scientists to describe, store and retrieve data more easily, using community standards and public repositories that enable the open sharing of results. COPO can link your outputs to your ORCiD profile. By tracking unique identifiers and DOIs, COPO can provide a way to monitor usage and get credit for your work, such as source code or research data, which still are not typically cited in the majority of scientific papers. COPO Wizards allow metadata to be added to your research objects with guided help and natural workflows. COPO can suggest metadata that might be appropriate for your data based on past submissions and similar workflows.","abbreviation":"COPO","data_curation":{"type":"not found"},"support_links":[{"url":"https://copo-project.readthedocs.io/en/latest/","name":"User Guide","type":"Help documentation"},{"url":"https://github.com/collaborative-open-plant-omics/COPO","name":"COPO on GitHub","type":"Github"}],"data_versioning":"not found","data_access_condition":{"url":"https://copo-project.org/about/","type":"partially open","notes":"Login with an Orcid profile is required to access any data."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://copo-project.org/copo/login/?next=/copo/","type":"open","notes":"Login with an Orcid profile is required to submit any data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001247","bsg-d001247"],"name":"FAIRsharing record for: Collaborative Open Plant Omics","abbreviation":"COPO","url":"https://fairsharing.org/10.25504/FAIRsharing.91a79b","doi":"10.25504/FAIRsharing.91a79b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: COPO is a portal for plant scientists to describe, store and retrieve data more easily, using community standards and public repositories that enable the open sharing of results. COPO can link your outputs to your ORCiD profile. By tracking unique identifiers and DOIs, COPO can provide a way to monitor usage and get credit for your work, such as source code or research data, which still are not typically cited in the majority of scientific papers. COPO Wizards allow metadata to be added to your research objects with guided help and natural workflows. COPO can suggest metadata that might be appropriate for your data based on past submissions and similar workflows.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11409},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12151}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Data Management"],"domains":["Resource metadata","Experimental measurement","DNA sequence data","Publication","Workflow","Protocol","Study design"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":536,"pubmed_id":null,"title":"COPO: a metadata platform for brokering FAIR data in the life sciences","year":2020,"url":"https://doi.org/10.12688/f1000research.23889.1","authors":"Shaw F, Etuk A, Minotto A et al.","journal":"F1000 Research","doi":"10.12688/f1000research.23889.1","created_at":"2021-09-30T08:23:18.568Z","updated_at":"2023-08-02T19:56:10.878Z"},{"id":3967,"pubmed_id":null,"title":"Collaborative-open-plant-omics/COPO: Release for Wellcome Open Research (v1.9.19)","year":2022,"url":"https://doi.org/10.5281/zenodo.7258483","authors":"Alice Minotto, Felix Shaw, Anthony Etuk, \u0026 Aaliyah Providence","journal":"Zenodo","doi":"10.5281/zenodo.7258483","created_at":"2023-08-02T19:55:30.199Z","updated_at":"2023-08-02T19:55:30.199Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":3306,"relation":"applies_to_content"}],"grants":[{"id":3355,"fairsharing_record_id":2749,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:26:14.360Z","updated_at":"2021-09-30T09:26:14.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3357,"fairsharing_record_id":2749,"organisation_id":3154,"relation":"maintains","created_at":"2021-09-30T09:26:14.417Z","updated_at":"2021-09-30T09:26:14.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3358,"fairsharing_record_id":2749,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:26:14.433Z","updated_at":"2021-09-30T09:26:14.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3356,"fairsharing_record_id":2749,"organisation_id":801,"relation":"maintains","created_at":"2021-09-30T09:26:14.385Z","updated_at":"2023-08-02T19:56:43.638Z","grant_id":null,"is_lead":true,"saved_state":{"id":801,"name":"Earlham Institute, Norwich, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2750","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T13:57:34.000Z","updated_at":"2023-10-30T13:59:34.160Z","metadata":{"name":"ionomicHUB","status":"deprecated","contacts":[{"contact_name":"David E. Salt","contact_email":"dsalt@purdue.edu"}],"homepage":"https://www.ionomicshub.org/home/PiiMS","citations":[],"identifier":2750,"description":"ionomicHUB provides curated ionomic data on many thousands of plant samples freely available to the public. It is an international collaborative cyber research environment to help identify and understand the genes and gene networks that function to control the ionome, the mineral nutrient and trace element composition of an organism or tissue. The iHUB is a collaborative workspace with components that integrate both cyberinfrastructure and human interactions to maximize both community access to ionomic resources, and knowledge extraction from these resources. An ongoing site migration has resulted in this resource being listed with an \"In development\" status.","abbreviation":"iHUB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ionomicshub.org/ionomicsatlas/quickstartguide.pdf","name":"Ionomics Atlas Quick Start Guide","type":"Help documentation"},{"url":"http://ionomics.blogspot.com/feeds/posts/default?alt=rss","name":"RSS Feed","type":"Blog/News"}],"year_creation":2006,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010857","name":"re3data:r3d100010857","portal":"re3data"}],"deprecation_date":"2023-10-30","deprecation_reason":"This resource is no longer available at the stated homepage, and no alternative homepage can be found, therefore the record has been deprecated. Please get in touch with us if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001248","bsg-d001248"],"name":"FAIRsharing record for: ionomicHUB","abbreviation":"iHUB","url":"https://fairsharing.org/fairsharing_records/2750","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ionomicHUB provides curated ionomic data on many thousands of plant samples freely available to the public. It is an international collaborative cyber research environment to help identify and understand the genes and gene networks that function to control the ionome, the mineral nutrient and trace element composition of an organism or tissue. The iHUB is a collaborative workspace with components that integrate both cyberinfrastructure and human interactions to maximize both community access to ionomic resources, and knowledge extraction from these resources. An ongoing site migration has resulted in this resource being listed with an \"In development\" status.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11410},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12152}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Genetics","Life Science"],"domains":["Protein interaction","Gene"],"taxonomies":["Arabidopsis thaliana","Glycine max","Oryza sativa","Zea mays"],"user_defined_tags":["Income"],"countries":["United Kingdom"],"publications":[{"id":2714,"pubmed_id":17189337,"title":"Purdue ionomics information management system. An integrated functional genomics platform.","year":2006,"url":"http://doi.org/10.1104/pp.106.092528","authors":"Baxter I,Ouzzani M,Orcun S,Kennedy B,Jandhyala SS,Salt DE","journal":"Plant Physiol","doi":"10.1104/pp.106.092528","created_at":"2021-09-30T08:27:33.305Z","updated_at":"2021-09-30T08:27:33.305Z"}],"licence_links":[{"licence_name":"University of Nottingham Privacy","licence_id":824,"licence_url":"https://www.nottingham.ac.uk/utilities/privacy/privacy.aspx","link_id":1738,"relation":"undefined"},{"licence_name":"University of Nottingham Terms of Use","licence_id":825,"licence_url":"https://www.nottingham.ac.uk/utilities/terms.aspx","link_id":1737,"relation":"undefined"}],"grants":[{"id":3359,"fairsharing_record_id":2750,"organisation_id":2385,"relation":"funds","created_at":"2021-09-30T09:26:14.450Z","updated_at":"2021-09-30T09:26:14.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":2385,"name":"Purdue University Discovery Park, West Lafayette, IN, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3361,"fairsharing_record_id":2750,"organisation_id":1326,"relation":"funds","created_at":"2021-09-30T09:26:14.483Z","updated_at":"2021-09-30T09:31:12.883Z","grant_id":1067,"is_lead":false,"saved_state":{"id":1326,"name":"Indiana's 21st Century Research \u0026 Technology Fund, Muncie, IN , USA","grant":"912010479","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3364,"fairsharing_record_id":2750,"organisation_id":2848,"relation":"maintains","created_at":"2021-09-30T09:26:14.533Z","updated_at":"2021-09-30T09:26:14.533Z","grant_id":null,"is_lead":true,"saved_state":{"id":2848,"name":"The University of Nottingham, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3360,"fairsharing_record_id":2750,"organisation_id":2590,"relation":"maintains","created_at":"2021-09-30T09:26:14.467Z","updated_at":"2021-09-30T09:26:14.467Z","grant_id":null,"is_lead":false,"saved_state":{"id":2590,"name":"Software Sustainability Institute, Edinburgh, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3362,"fairsharing_record_id":2750,"organisation_id":2075,"relation":"funds","created_at":"2021-09-30T09:26:14.500Z","updated_at":"2021-09-30T09:29:34.695Z","grant_id":309,"is_lead":false,"saved_state":{"id":2075,"name":"National Science Foundation Plant Genome Research, Alexandria, VA, USA","grant":"DBI 0077378","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3365,"fairsharing_record_id":2750,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:14.550Z","updated_at":"2021-09-30T09:30:56.119Z","grant_id":941,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5 R33 DK070290–03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3363,"fairsharing_record_id":2750,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:14.517Z","updated_at":"2021-09-30T09:30:23.017Z","grant_id":686,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOB 0419695","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2766","type":"fairsharing_records","attributes":{"created_at":"2019-05-09T14:46:29.000Z","updated_at":"2023-12-15T10:28:09.203Z","metadata":{"doi":"10.25504/FAIRsharing.wBOua0","name":"PLAZA","status":"ready","contacts":[{"contact_name":"Klaas Vandepoele","contact_email":"plaza@psb.vib-ugent.be","contact_orcid":"0000-0003-4790-2725"},{"contact_name":"General Contact","contact_email":"plaza@psb.vib-ugent.be","contact_orcid":null}],"homepage":"https://bioinformatics.psb.ugent.be/plaza/","citations":[{"doi":"10.1093/nar/gkx1002","pubmed_id":29069403,"publication_id":193},{"doi":"10.1093/nar/gkab1024","pubmed_id":null,"publication_id":3232}],"identifier":2766,"description":"PLAZA is a platform for comparative, evolutionary, and functional genomics. It makes a broad set of genomes, data types and analysis tools available to researchers through a user-friendly website, an API, and bulk downloads. The platform consists of multiple instances, where each instance contains additional genomes, improved genome annotations, new software tools, and similar.","abbreviation":"PLAZA","data_curation":{"type":"not found"},"support_links":[{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/pages/fair_data","name":"PLAZA and FAIR data","type":"Help documentation"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation","name":"PLAZA Documentation","type":"Help documentation"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/news","name":"News","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/plant-bioinformatics","name":"Plant Bioinformatics","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/plaza-is-a-plant-oriented-online-resource-for-comparative-evolutionary-and-functional-genomics","name":"PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics","type":"TeSS links to training materials"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation/tutorial","name":"PLAZA Tutorials","type":"Training documentation"},{"url":"https://twitter.com/plaza_genomics","name":"@plaza_genomics","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://phyd3.bits.vib.be","name":"PhyD3 v1.0"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation/intro_tutorial#navigation_table_tools","name":"PLAZA Tool Listing"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001265","bsg-d001265"],"name":"FAIRsharing record for: PLAZA","abbreviation":"PLAZA","url":"https://fairsharing.org/10.25504/FAIRsharing.wBOua0","doi":"10.25504/FAIRsharing.wBOua0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PLAZA is a platform for comparative, evolutionary, and functional genomics. It makes a broad set of genomes, data types and analysis tools available to researchers through a user-friendly website, an API, and bulk downloads. The platform consists of multiple instances, where each instance contains additional genomes, improved genome annotations, new software tools, and similar.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12838},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13994}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Phylogenetics","Evolutionary Biology","Life Science","Communication Science"],"domains":["Protein domain","Gene Ontology enrichment","Genome annotation","Function analysis","Protein Analysis","Classification","Amino acid sequence","Genome","FAIR"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":193,"pubmed_id":29069403,"title":"PLAZA 4.0: an integrative resource for functional, evolutionary and comparative plant genomics.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1002","authors":"Van Bel M,Diels T,Vancaester E,Kreft L,Botzki A,Van de Peer Y,Coppens F,Vandepoele K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1002","created_at":"2021-09-30T08:22:41.112Z","updated_at":"2021-09-30T11:28:43.841Z"},{"id":1983,"pubmed_id":20040540,"title":"PLAZA: a comparative genomics resource to study gene and genome evolution in plants.","year":2009,"url":"http://doi.org/10.1105/tpc.109.071506","authors":"Proost S,Van Bel M,Sterck L,Billiau K,Van Parys T,Van de Peer Y,Vandepoele K","journal":"Plant Cell","doi":"10.1105/tpc.109.071506","created_at":"2021-09-30T08:26:03.165Z","updated_at":"2021-09-30T08:26:03.165Z"},{"id":1993,"pubmed_id":22198273,"title":"Dissecting plant genomes with the PLAZA comparative genomics platform.","year":2011,"url":"http://doi.org/10.1104/pp.111.189514","authors":"Van Bel M,Proost S,Wischnitzki E,Movahedi S,Scheerlinck C,Van de Peer Y,Vandepoele K","journal":"Plant Physiol","doi":"10.1104/pp.111.189514","created_at":"2021-09-30T08:26:04.357Z","updated_at":"2021-09-30T08:26:04.357Z"},{"id":1996,"pubmed_id":25324309,"title":"PLAZA 3.0: an access point for plant comparative genomics.","year":2014,"url":"http://doi.org/10.1093/nar/gku986","authors":"Proost S,Van Bel M,Vaneechoutte D,Van de Peer Y,Inze D,Mueller-Roeber B,Vandepoele K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku986","created_at":"2021-09-30T08:26:04.680Z","updated_at":"2021-09-30T11:29:25.303Z"},{"id":3232,"pubmed_id":null,"title":"PLAZA 5.0: extending the scope and power of comparative and functional genomics in plants","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1024","authors":"Van Bel, Michiel; Silvestri, Francesca; Weitz, Eric M; Kreft, Lukasz; Botzki, Alexander; Coppens, Frederik; Vandepoele, Klaas; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1024","created_at":"2022-02-09T16:44:14.946Z","updated_at":"2022-02-09T16:44:14.946Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1477,"relation":"undefined"}],"grants":[{"id":3418,"fairsharing_record_id":2766,"organisation_id":3184,"relation":"maintains","created_at":"2021-09-30T09:26:16.005Z","updated_at":"2021-09-30T09:26:16.005Z","grant_id":null,"is_lead":true,"saved_state":{"id":3184,"name":"VIB-UGent Center for Plant Systems Biology, Ghent, Belgium","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3417,"fairsharing_record_id":2766,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:26:15.969Z","updated_at":"2021-09-30T09:26:15.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10022,"fairsharing_record_id":2766,"organisation_id":841,"relation":"funds","created_at":"2022-10-13T09:43:39.044Z","updated_at":"2022-10-13T09:43:39.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8796,"fairsharing_record_id":2766,"organisation_id":3183,"relation":"funds","created_at":"2022-02-09T16:47:04.264Z","updated_at":"2022-02-09T16:47:04.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":3183,"name":"VIB, Belgium","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8798,"fairsharing_record_id":2766,"organisation_id":3381,"relation":"funds","created_at":"2022-02-09T16:47:04.289Z","updated_at":"2022-02-09T16:47:04.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":3381,"name":"University of Potsdam","types":["University"],"is_lead":false,"relation":"funds"}},{"id":8799,"fairsharing_record_id":2766,"organisation_id":1793,"relation":"funds","created_at":"2022-02-09T16:47:04.310Z","updated_at":"2022-02-09T16:47:04.310Z","grant_id":null,"is_lead":false,"saved_state":{"id":1793,"name":"Max Planck Institute of Molecular Plant Physiology (MPIMP), Munich, Germany","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3416,"fairsharing_record_id":2766,"organisation_id":3183,"relation":"maintains","created_at":"2021-09-30T09:26:15.944Z","updated_at":"2021-09-30T09:26:15.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":3183,"name":"VIB, Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9150,"fairsharing_record_id":2766,"organisation_id":1152,"relation":"funds","created_at":"2022-04-11T12:07:17.772Z","updated_at":"2022-04-11T12:07:17.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBMUT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a97cccb19da7576a6a5803677a07961471ce227d/plaza.png?disposition=inline","exhaustive_licences":false}},{"id":"2768","type":"fairsharing_records","attributes":{"created_at":"2019-04-09T09:31:03.000Z","updated_at":"2023-06-22T17:31:52.706Z","metadata":{"doi":"10.25504/FAIRsharing.Tb0BKn","name":"Science Data Bank","status":"ready","contacts":[{"contact_name":"Jiang Lulu","contact_email":"sciencedb@cnic.cn"}],"homepage":"https://www.scidb.cn/en","citations":[],"identifier":2768,"description":"ScienceDB (Science Data Bank) is an open generalist data repository developed and maintained by the CNIC. It promotes the publication and reuse of scientific data. Researchers and journal publishers can use it to store, manage and share science data.","abbreviation":"ScienceDB","data_curation":{"url":"https://www.scidb.cn/en/publishing_process","type":"manual"},"support_links":[{"url":"https://www.scidb.cn/en/English/ours/faq","name":"ScienceDB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.sciencedb.cn/static/submit","name":"Guide for Researchers","type":"Help documentation"},{"url":"https://www.sciencedb.cn/static/use","name":"Guide for Journal Publishers","type":"Help documentation"},{"url":"https://www.scidb.cn/en/English/ours/use","name":"Introduction","type":"Help documentation"},{"url":"https://www.sciencedb.cn/news/listPage","name":"News","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013177","name":"re3data:r3d100013177","portal":"re3data"}],"data_access_condition":{"url":"https://www.scidb.cn/en/faq#item7","type":"partially open","notes":"Portions of the database are restricted and will require a data access agreement"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.scidb.cn/en/faq#item10","name":"ScienceDB provides permanent access to all data accepted for publishing on this site, unless the data violates relevant rules or regulations"},"data_deposition_condition":{"url":"https://www.scidb.cn/en/publishing_process","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001267","bsg-d001267"],"name":"FAIRsharing record for: Science Data Bank","abbreviation":"ScienceDB","url":"https://fairsharing.org/10.25504/FAIRsharing.Tb0BKn","doi":"10.25504/FAIRsharing.Tb0BKn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ScienceDB (Science Data Bank) is an open generalist data repository developed and maintained by the CNIC. It promotes the publication and reuse of scientific data. Researchers and journal publishers can use it to store, manage and share science data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Aerospace Engineering","Data Management","Earth Science","Life Science","Subject Agnostic","Chemical Engineering","Biology","Mechanics"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Sociology"],"countries":["China"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1814,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":2560,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2558,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":2559,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":2561,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2557,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1819,"relation":"undefined"},{"licence_name":"ScienceDB Terms and Conditions","licence_id":736,"licence_url":"https://www.scidb.cn/en/English/ours/serviceTerm","link_id":1808,"relation":"applies_to_content"}],"grants":[{"id":3422,"fairsharing_record_id":2768,"organisation_id":588,"relation":"maintains","created_at":"2021-09-30T09:26:16.103Z","updated_at":"2021-09-30T09:26:16.103Z","grant_id":null,"is_lead":true,"saved_state":{"id":588,"name":"Computer Network Information Center, Chinese Academy of Sciences","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2770","type":"fairsharing_records","attributes":{"created_at":"2019-05-06T12:50:23.000Z","updated_at":"2024-06-27T12:31:42.634Z","metadata":{"doi":"10.25504/FAIRsharing.EnRBIa","name":"Federated Research Data Repository","status":"ready","contacts":[{"contact_name":"Lee Wilson","contact_email":"lee.wilson@engagedri.ca","contact_orcid":"0000-0003-2878-8349"}],"homepage":"https://www.frdr-dfdr.ca/","citations":[],"identifier":2770,"description":"The Federated Research Data Repository (FRDR) is a place for Canadian researchers to deposit and share research data and to facilitate discovery of research data in Canadian repositories.","abbreviation":"FRDR","data_curation":{"url":"https://www.frdr-dfdr.ca/repo/","type":"manual"},"support_links":[{"url":"support@frdr-dfdr.ca","name":"FRDR Support","type":"Support email"},{"url":"https://www.frdr-dfdr.ca/docs/en/documentation/","name":"FRDR Documentation","type":"Help documentation"},{"url":"https://youtube.com/playlist?list=PLX9EpizS4A0suoSV2N0nn9parl96xHPkz","name":"FRDR Tutorial Videos","type":"Video"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://www.globus.org/data-transfer","name":"Globus Transfer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012646","name":"re3data:r3d100012646","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.frdr-dfdr.ca/repo/","type":"controlled","notes":"Only Canadian research data can be submitted"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001269","bsg-d001269"],"name":"FAIRsharing record for: Federated Research Data Repository","abbreviation":"FRDR","url":"https://fairsharing.org/10.25504/FAIRsharing.EnRBIa","doi":"10.25504/FAIRsharing.EnRBIa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Federated Research Data Repository (FRDR) is a place for Canadian researchers to deposit and share research data and to facilitate discovery of research data in Canadian repositories.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12985}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Health Science","Earth Science","Agriculture","Subject Agnostic"],"domains":["Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":2621,"pubmed_id":null,"title":"Exploring the Canadian Federated Research Data Repository Service","year":2017,"url":"https://doi.org/10.3897/tdwgproceedings.1.20185","authors":"Lee Wilson","journal":"Proceedings of TDWG 1","doi":null,"created_at":"2021-09-30T08:27:21.763Z","updated_at":"2021-09-30T08:27:21.763Z"},{"id":2636,"pubmed_id":null,"title":"Checksums on Modern Filesystems, or: On the virtuous consumption of CPU cycles","year":2018,"url":"https://doi.org/10.17605/OSF.IO/Y4Z3E","authors":"Alex Garnett, Justin Simpson, Mike Winter","journal":"Proceedings of iPres2018 Conference","doi":null,"created_at":"2021-09-30T08:27:23.754Z","updated_at":"2021-09-30T08:27:23.754Z"},{"id":2638,"pubmed_id":null,"title":"Open Metadata for Research Data Discovery in Canada","year":2017,"url":"https://doi.org/10.1080/19386389.2018.1443698","authors":"Alex Garnett, Amber Leahey, Dany Savard, Barbara Towell, Lee Wilson","journal":"Journal of Library Metadata","doi":null,"created_at":"2021-09-30T08:27:23.988Z","updated_at":"2021-09-30T08:27:23.988Z"}],"licence_links":[{"licence_name":"FRDR Terms of Service","licence_id":323,"licence_url":"https://www.frdr-dfdr.ca/docs/en/terms_of_use/","link_id":1656,"relation":"undefined"}],"grants":[{"id":3426,"fairsharing_record_id":2770,"organisation_id":3437,"relation":"maintains","created_at":"2021-09-30T09:26:16.246Z","updated_at":"2024-06-26T12:53:54.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":3437,"name":"Digital Research Alliance of Canada","types":["Government body","Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3425,"fairsharing_record_id":2770,"organisation_id":2348,"relation":"maintains","created_at":"2021-09-30T09:26:16.213Z","updated_at":"2021-09-30T09:26:16.213Z","grant_id":null,"is_lead":true,"saved_state":{"id":2348,"name":"Portage Network","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10028,"fairsharing_record_id":2770,"organisation_id":3437,"relation":"funds","created_at":"2022-10-13T09:43:40.052Z","updated_at":"2022-10-13T09:43:40.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":3437,"name":"Digital Research Alliance of Canada","types":["Government body","Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2758","type":"fairsharing_records","attributes":{"created_at":"2019-03-06T15:41:09.000Z","updated_at":"2023-12-15T10:29:01.100Z","metadata":{"doi":"10.25504/FAIRsharing.6AmTXC","name":"Biodiversity Exploratories Information System","status":"ready","contacts":[{"contact_name":"Andreas Ostrowski","contact_email":"bexis@listserv.uni-jena.de","contact_orcid":"0000-0002-2033-779X"}],"homepage":"https://www.bexis.uni-jena.de/","citations":[],"identifier":2758,"description":"BExIS is the online data repository and information system of the Biodiversity Exploratories Project (BE). The BE is a German network of biodiversity related working groups from areas such as vegetation and soil science, zoology and forestry. Up to three years after data acquisition, the data use is restricted to members of the BE. Thereafter, the data is usually publicly available.","abbreviation":"BExIS","data_curation":{"url":"https://mint.bio.uniroma2.it/index.php/sample-page/","type":"manual/automated","notes":"MINT has signed the IMEx agreement to share curation efforts and supports the Protein Standard Initiative (PSI) recommendation."},"support_links":[{"url":"bexis@listserv.uni-jena.de","name":"contact mail","type":"Mailing list"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToRegister.md","name":"How to Register","type":"Help documentation"},{"url":"https://twitter.com/BExplo_research","name":"@BExplo_research","type":"Twitter"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToUpload.md","name":"How to Upload","type":"Help documentation"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToSearch.md","name":"How to Search","type":"Help documentation"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToCreditData.md","name":"How to Credit Data","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012058","name":"re3data:r3d100012058","portal":"re3data"}],"data_access_condition":{"url":"https://www.bexis.uni-jena.de/TermsAndConditions/Index","type":"partially open","notes":"In order to download publicly available data, you need to confirm a dedicated data agreemen"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToUpload.md","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001256","bsg-d001256"],"name":"FAIRsharing record for: Biodiversity Exploratories Information System","abbreviation":"BExIS","url":"https://fairsharing.org/10.25504/FAIRsharing.6AmTXC","doi":"10.25504/FAIRsharing.6AmTXC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BExIS is the online data repository and information system of the Biodiversity Exploratories Project (BE). The BE is a German network of biodiversity related working groups from areas such as vegetation and soil science, zoology and forestry. Up to three years after data acquisition, the data use is restricted to members of the BE. Thereafter, the data is usually publicly available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Soil Science","Botany","Zoology","Ecology","Biodiversity"],"domains":["Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":113,"pubmed_id":null,"title":"Diverse or uniform? — Intercomparison of two major German project databases for interdisciplinary collaborative functional biodiversity research","year":2012,"url":"http://doi.org/https://doi.org/10.1016/j.ecoinf.2011.11.004","authors":"Lotz T., Nieschulze J., Bendix J., Dobbermann M., König-Ries B.","journal":"Ecological Informatics","doi":"https://doi.org/10.1016/j.ecoinf.2011.11.004","created_at":"2021-09-30T08:22:32.580Z","updated_at":"2021-09-30T08:22:32.580Z"},{"id":3171,"pubmed_id":null,"title":"BEXIS2: A FAIR-aligned data management system for biodiversity, ecology and environmental data","year":2021,"url":"http://dx.doi.org/10.3897/BDJ.9.e72901","authors":"Chamanara, Javad; Gaikwad, Jitendra; Gerlach, Roman; Algergawy, Alsayed; Ostrowski, Andreas; König-Ries, Birgitta; ","journal":"BDJ","doi":"10.3897/bdj.9.e72901","created_at":"2022-01-05T11:19:27.769Z","updated_at":"2022-01-05T11:19:27.769Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2545,"relation":"applies_to_content"},{"licence_name":"BExIS Terms and Conditions","licence_id":898,"licence_url":"https://www.bexis.uni-jena.de/footer/termsandconditions","link_id":2546,"relation":"applies_to_content"}],"grants":[{"id":3376,"fairsharing_record_id":2758,"organisation_id":1064,"relation":"maintains","created_at":"2021-09-30T09:26:14.868Z","updated_at":"2021-09-30T09:26:14.868Z","grant_id":null,"is_lead":true,"saved_state":{"id":1064,"name":"Friedrich Schiller University Jena","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3377,"fairsharing_record_id":2758,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:14.893Z","updated_at":"2021-09-30T09:26:14.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2759","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T05:32:49.000Z","updated_at":"2024-03-21T13:58:54.308Z","metadata":{"doi":"10.25504/FAIRsharing.5Pze7l","name":"GlyTouCan","status":"ready","contacts":[{"contact_name":"Kiyoko F. Aoki-Kinoshita","contact_email":"kkiyoko@soka.ac.jp"}],"homepage":"https://glytoucan.org","citations":[{"doi":"10.1093/glycob/cwx066","pubmed_id":28922742,"publication_id":2317}],"identifier":2759,"description":"The international glycan structure repository for glycans published in the literature. Any glycan structure, ranging in resolution from monosaccharide composition to fully defined structures can be registered and have an accession number assigned as long as there are no inconsistencies in the structure.","abbreviation":"GlyTouCan","data_curation":{"url":"https://glytoucan.org/","type":"none"},"support_links":[{"url":"glytoucan@gmail.com","name":"GlyTouCan Support","type":"Support email"},{"url":"https://twitter.com/glytoucan","name":"@glytoucan","type":"Twitter"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012388","name":"re3data:r3d100012388","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open","notes":"Free login is required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001257","bsg-d001257"],"name":"FAIRsharing record for: GlyTouCan","abbreviation":"GlyTouCan","url":"https://fairsharing.org/10.25504/FAIRsharing.5Pze7l","doi":"10.25504/FAIRsharing.5Pze7l","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The international glycan structure repository for glycans published in the literature. Any glycan structure, ranging in resolution from monosaccharide composition to fully defined structures can be registered and have an accession number assigned as long as there are no inconsistencies in the structure.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12834}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology","Glycomics"],"domains":["Molecular structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2317,"pubmed_id":28922742,"title":"GlyTouCan: an accessible glycan structure repository.","year":2017,"url":"http://doi.org/10.1093/glycob/cwx066","authors":"Tiemeyer M,Aoki K,Paulson J,Cummings RD,York WS,Karlsson NG,Lisacek F,Packer NH,Campbell MP,Aoki NP,Fujita A,Matsubara M,Shinmachi D,Tsuchiya S,Yamada I,Pierce M,Ranzinger R,Narimatsu H,Aoki-Kinoshita KF","journal":"Glycobiology","doi":"10.1093/glycob/cwx066","created_at":"2021-09-30T08:26:44.301Z","updated_at":"2021-09-30T08:26:44.301Z"},{"id":2318,"pubmed_id":26476458,"title":"GlyTouCan 1.0--The international glycan structure repository.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1041","authors":"Aoki-Kinoshita K,Agravat S,Aoki NP,Arpinar S,Cummings RD,Fujita A,Fujita N,Hart GM,Haslam SM,Kawasaki T,Matsubara M,Moreman KW,Okuda S,Pierce M,Ranzinger R,Shikanai T,Shinmachi D,Solovieva E,Suzuki Y,Tsuchiya S,Yamada I,York WS,Zaia J,Narimatsu H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1041","created_at":"2021-09-30T08:26:44.458Z","updated_at":"2021-09-30T11:29:33.027Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":8,"relation":"undefined"}],"grants":[{"id":3378,"fairsharing_record_id":2759,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:26:14.918Z","updated_at":"2021-09-30T09:26:14.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11556,"fairsharing_record_id":2759,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:54.130Z","updated_at":"2024-03-21T13:58:54.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2789","type":"fairsharing_records","attributes":{"created_at":"2019-07-04T13:14:17.000Z","updated_at":"2022-07-20T12:10:39.665Z","metadata":{"name":"Long Term Ecological Research Network Information System Data Portal","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"support@environmentaldatainitiative.org"}],"homepage":"https://portal.lternet.edu/nis/home.jsp","identifier":2789,"description":"The LTER Network Information System Data Portal contains ecological data packages contributed by past and present LTER sites. Data and metadata derived from publicly funded research in the U.S. LTER Network are made available online with as few restrictions as possible, on a non-discriminatory basis. The LTER is able to support high-level analysis and synthesis of complex ecosystem data across the science-policy-management continuum, which in turn helps advance ecosystem research.","abbreviation":"LTER NIS Data Portal","data_curation":{"type":"not found"},"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://portal.lternet.edu/nis/provenanceGenerator.jsp","name":"Provenance Generator"},{"url":"https://portal.lternet.edu/nis/metadataPreviewer.jsp","name":"Metadata Previewer"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by the Environmental Data Initiative Data Repository.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001288","bsg-d001288"],"name":"FAIRsharing record for: Long Term Ecological Research Network Information System Data Portal","abbreviation":"LTER NIS Data Portal","url":"https://fairsharing.org/fairsharing_records/2789","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LTER Network Information System Data Portal contains ecological data packages contributed by past and present LTER sites. Data and metadata derived from publicly funded research in the U.S. LTER Network are made available online with as few restrictions as possible, on a non-discriminatory basis. The LTER is able to support high-level analysis and synthesis of complex ecosystem data across the science-policy-management continuum, which in turn helps advance ecosystem research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Ecology","Life Science","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3473,"fairsharing_record_id":2789,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.528Z","updated_at":"2021-09-30T09:29:20.644Z","grant_id":204,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#DEB-0936498","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3472,"fairsharing_record_id":2789,"organisation_id":1725,"relation":"maintains","created_at":"2021-09-30T09:26:17.504Z","updated_at":"2021-09-30T09:26:17.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":1725,"name":"Long-Term Ecological Research (LTER) Network","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3474,"fairsharing_record_id":2789,"organisation_id":866,"relation":"maintains","created_at":"2021-09-30T09:26:17.554Z","updated_at":"2021-09-30T09:26:17.554Z","grant_id":null,"is_lead":true,"saved_state":{"id":866,"name":"Environmental Data Initiative, Center for Limnology, University of Wisconsin, Madison, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7984,"fairsharing_record_id":2789,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:15.435Z","updated_at":"2021-09-30T09:30:15.491Z","grant_id":624,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#DEB-0832652","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2790","type":"fairsharing_records","attributes":{"created_at":"2019-07-09T10:41:30.000Z","updated_at":"2023-06-23T15:05:28.843Z","metadata":{"doi":"10.25504/FAIRsharing.22e3be","name":"Princeton University MicroArray database","status":"ready","contacts":[{"contact_name":"John Matese","contact_email":"jcmatese@princeton.edu","contact_orcid":"0000-0002-9432-8909"}],"homepage":"http://puma.princeton.edu","citations":[],"identifier":2790,"description":"The Princeton University MicroArray database (PUMAdb) stores raw and normalized data from microarray experiments, as well as their corresponding image files. In addition, PUMAdb provides interfaces for data retrieval, analysis and visualization.","abbreviation":"PUMAdb","data_curation":{"url":"https://puma.princeton.edu/help/FAQ.shtml","type":"manual/automated","notes":"Database curator at:array@princeton.edu."},"support_links":[{"url":"array@princeton.edu","type":"Support email"},{"url":"https://puma.princeton.edu/help/FAQ.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"https://puma.princeton.edu/help/index.shtml","name":"Online help documentation","type":"Help documentation"},{"url":"https://puma.princeton.edu/help/searches_subpage.shtml","name":"How to search","type":"Help documentation"},{"url":"https://puma.princeton.edu/help/analysis_subpage.shtml","name":"Data Analysis Help Topics","type":"Help documentation"},{"url":"https://puma.princeton.edu/help/tutorials_subpage.shtml","type":"Training documentation"},{"url":"https://puma.princeton.edu/help/glossary.shtml","name":"Glossary Terms","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","associated_tools":[{"url":"https://puma.princeton.edu/help/tools.shtml","name":"PUMAdb Tools"}],"data_access_condition":{"url":"https://puma.princeton.edu/help/Account_Access.shtml","type":"partially open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://puma.princeton.edu/help/enter_expts.shtml","type":"controlled","notes":"Data entry requirements are provided."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001289","bsg-d001289"],"name":"FAIRsharing record for: Princeton University MicroArray database","abbreviation":"PUMAdb","url":"https://fairsharing.org/10.25504/FAIRsharing.22e3be","doi":"10.25504/FAIRsharing.22e3be","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Princeton University MicroArray database (PUMAdb) stores raw and normalized data from microarray experiments, as well as their corresponding image files. In addition, PUMAdb provides interfaces for data retrieval, analysis and visualization.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12845}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Raw microarray data","Microarray experiment","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2082,"pubmed_id":15608265,"title":"The Stanford Microarray Database accommodates additional microarray platforms and data formats.","year":2004,"url":"http://doi.org/10.1093/nar/gki006","authors":"Ball CA,Awad IA,Demeter J,Gollub J,Hebert JM,Hernandez-Boussard T,Jin H,Matese JC,Nitzberg M,Wymore F,Zachariah ZK,Brown PO,Sherlock G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki006","created_at":"2021-09-30T08:26:14.756Z","updated_at":"2021-09-30T11:29:28.079Z"},{"id":2088,"pubmed_id":12519956,"title":"The Stanford Microarray Database: data access and quality assessment tools.","year":2003,"url":"http://doi.org/10.1093/nar/gkg078","authors":"Gollub J,Ball CA,Binkley G,Demeter J,Finkelstein DB,Hebert JM,Hernandez-Boussard T,Jin H,Kaloper M,Matese JC,Schroeder M,Brown PO,Botstein D,Sherlock G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg078","created_at":"2021-09-30T08:26:15.364Z","updated_at":"2021-09-30T11:29:28.853Z"},{"id":2359,"pubmed_id":11125075,"title":"The Stanford Microarray Database.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.152","authors":"Sherlock G,Hernandez-Boussard T,Kasarskis A,Binkley G,Matese JC,Dwight SS,Kaloper M,Weng S,Jin H,Ball CA,Eisen MB,Spellman PT,Brown PO,Botstein D,Cherry JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.152","created_at":"2021-09-30T08:26:50.008Z","updated_at":"2021-09-30T11:29:34.111Z"}],"licence_links":[{"licence_name":"PUMAdb Privacy Policy","licence_id":690,"licence_url":"https://puma.princeton.edu/privacy.shtml","link_id":1781,"relation":"undefined"}],"grants":[{"id":3475,"fairsharing_record_id":2790,"organisation_id":2357,"relation":"maintains","created_at":"2021-09-30T09:26:17.588Z","updated_at":"2021-09-30T09:26:17.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2357,"name":"Princeton University, NJ, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3476,"fairsharing_record_id":2790,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:17.612Z","updated_at":"2021-09-30T09:31:37.060Z","grant_id":1250,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01 HG002732","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8324,"fairsharing_record_id":2790,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:05.250Z","updated_at":"2021-09-30T09:32:05.292Z","grant_id":1462,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5R01 CA77097","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2791","type":"fairsharing_records","attributes":{"created_at":"2019-07-10T09:48:08.000Z","updated_at":"2023-06-23T09:38:48.200Z","metadata":{"doi":"10.25504/FAIRsharing.S6nB7s","name":"Genome-wide Integrated Analysis of gene Networks in Tissues 2.0","status":"ready","contacts":[{"contact_name":"Olga G Troyanskaya","contact_email":"ogt@genomics.princeton.edu"}],"homepage":"http://giant-v2.princeton.edu/","citations":[{"doi":"10.1093/nar/gky408","pubmed_id":29800226,"publication_id":371}],"identifier":2791,"description":"GIANT2 (Genome-wide Integrated Analysis of gene Networks in Tissues) is an interactive web server that enables biomedical researchers to analyze their proteins and pathways of interest and generate hypotheses in the context of genome-scale functional maps of human tissues. With GIANT2, researchers can explore predicted tissue-specific functional roles of genes and reveal changes in those roles across tissues, all through interactive multi-network visualizations and analyses.","abbreviation":"GIANT 2.0","data_curation":{"url":"https://doi.org/10.1093/nar/gky408","type":"automated"},"support_links":[{"url":"http://giant-v2.princeton.edu/tutorial/","name":"Tutorials","type":"Help documentation"},{"url":"http://giant-v2.princeton.edu/about/","name":"About GIANT 2.0","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"http://giant-v2.princeton.edu/gwas/create_new","name":"NetWAS Analysis"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled","notes":"Data retrieved directly from various primary sources"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001290","bsg-d001290"],"name":"FAIRsharing record for: Genome-wide Integrated Analysis of gene Networks in Tissues 2.0","abbreviation":"GIANT 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.S6nB7s","doi":"10.25504/FAIRsharing.S6nB7s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GIANT2 (Genome-wide Integrated Analysis of gene Networks in Tissues) is an interactive web server that enables biomedical researchers to analyze their proteins and pathways of interest and generate hypotheses in the context of genome-scale functional maps of human tissues. With GIANT2, researchers can explore predicted tissue-specific functional roles of genes and reveal changes in those roles across tissues, all through interactive multi-network visualizations and analyses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12846}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Bioinformatics","Life Science","Data Visualization"],"domains":["Function analysis","Network model","Genome-wide association study","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":371,"pubmed_id":29800226,"title":"GIANT 2.0: genome-scale integrated analysis of gene networks in tissues.","year":2018,"url":"http://doi.org/10.1093/nar/gky408","authors":"Wong AK,Krishnan A,Troyanskaya OG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky408","created_at":"2021-09-30T08:22:59.856Z","updated_at":"2021-09-30T11:28:45.983Z"}],"licence_links":[],"grants":[{"id":3479,"fairsharing_record_id":2791,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.686Z","updated_at":"2021-09-30T09:29:44.538Z","grant_id":381,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI- 0546275","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3477,"fairsharing_record_id":2791,"organisation_id":358,"relation":"funds","created_at":"2021-09-30T09:26:17.636Z","updated_at":"2021-09-30T09:26:17.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":358,"name":"Canadian Institute for Advanced Research (CIFAR), Canada","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3478,"fairsharing_record_id":2791,"organisation_id":2876,"relation":"maintains","created_at":"2021-09-30T09:26:17.662Z","updated_at":"2021-09-30T09:26:17.662Z","grant_id":null,"is_lead":true,"saved_state":{"id":2876,"name":"Troyanskaya Laboratory (Laboratory for Bioinformatics and Functional Genomics), Princeton University, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3480,"fairsharing_record_id":2791,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:17.720Z","updated_at":"2021-09-30T09:32:29.697Z","grant_id":1645,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM071966","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2800","type":"fairsharing_records","attributes":{"created_at":"2019-07-18T22:38:39.000Z","updated_at":"2023-06-23T10:42:59.825Z","metadata":{"doi":"10.25504/FAIRsharing.c44966","name":"Aster Volcanic Archive","status":"ready","contacts":[{"contact_name":"Justin P Linick","contact_email":"Justin.P.Linick@jpl.nasa.gov"}],"homepage":"https://ava.jpl.nasa.gov","citations":[],"identifier":2800,"description":"AVA is a large depository of volcanic data. For 1,549 recently active volcanos listed by the Smithsonian Global Volcanism Program, the AVA has collected the entirety of high-resolution multispectral ASTER data and made it available to the public. Also included are digital elevation maps, NOAA ash advisories, alteration zone imagery, and thermal anomaly reports. LANDSAT7 data are also being processed.","abbreviation":"AVA","data_curation":{"type":"not found"},"support_links":[{"url":"https://ava.jpl.nasa.gov/pages/about/about.html","name":"About","type":"Other"},{"url":"https://twitter.com/NASAJPL","name":"@NASAJPL","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011793","name":"re3data:r3d100011793","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ava.jpl.nasa.gov/pages/about/about.html","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001299","bsg-d001299"],"name":"FAIRsharing record for: Aster Volcanic Archive","abbreviation":"AVA","url":"https://fairsharing.org/10.25504/FAIRsharing.c44966","doi":"10.25504/FAIRsharing.c44966","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AVA is a large depository of volcanic data. For 1,549 recently active volcanos listed by the Smithsonian Global Volcanism Program, the AVA has collected the entirety of high-resolution multispectral ASTER data and made it available to the public. Also included are digital elevation maps, NOAA ash advisories, alteration zone imagery, and thermal anomaly reports. LANDSAT7 data are also being processed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["Costa Rica","Italy","Mexico","Singapore","United States"],"publications":[],"licence_links":[],"grants":[{"id":3495,"fairsharing_record_id":2800,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:26:18.096Z","updated_at":"2021-09-30T09:26:18.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3496,"fairsharing_record_id":2800,"organisation_id":1599,"relation":"maintains","created_at":"2021-09-30T09:26:18.120Z","updated_at":"2021-09-30T09:26:18.120Z","grant_id":null,"is_lead":true,"saved_state":{"id":1599,"name":"Jet Propulsion Laboratory, California Institute of Technology, NASA, Pasadena, CA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2801","type":"fairsharing_records","attributes":{"created_at":"2019-07-19T20:03:12.000Z","updated_at":"2023-12-15T10:32:52.338Z","metadata":{"doi":"10.25504/FAIRsharing.140c57","name":"NOAA's Atlantic Oceanographic and Meterological Laboratory Data","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"aoml.communications@noaa.gov"}],"homepage":"https://www.aoml.noaa.gov/data-products/","citations":[],"identifier":2801,"description":"AOML data on the climate, environment and meteorological patterns and changes.","abbreviation":"AOML Data","data_curation":{"type":"none"},"support_links":[{"url":"https://twitter.com/NOAA_AMOL","name":"Twitter","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010773","name":"re3data:r3d100010773","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001300","bsg-d001300"],"name":"FAIRsharing record for: NOAA's Atlantic Oceanographic and Meterological Laboratory Data","abbreviation":"AOML Data","url":"https://fairsharing.org/10.25504/FAIRsharing.140c57","doi":"10.25504/FAIRsharing.140c57","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AOML data on the climate, environment and meteorological patterns and changes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Earth Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NOAA Disclaimer","licence_id":595,"licence_url":"https://www.noaa.gov/disclaimer","link_id":1786,"relation":"undefined"},{"licence_name":"NOAA Privacy","licence_id":596,"licence_url":"https://www.noaa.gov/protecting-your-privacy","link_id":1785,"relation":"undefined"}],"grants":[{"id":3497,"fairsharing_record_id":2801,"organisation_id":3164,"relation":"funds","created_at":"2021-09-30T09:26:18.146Z","updated_at":"2021-09-30T09:26:18.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":3164,"name":"US Department of Commerce","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3498,"fairsharing_record_id":2801,"organisation_id":2056,"relation":"maintains","created_at":"2021-09-30T09:26:18.170Z","updated_at":"2021-09-30T09:26:18.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2802","type":"fairsharing_records","attributes":{"created_at":"2019-07-21T21:07:28.000Z","updated_at":"2023-12-15T10:32:30.018Z","metadata":{"doi":"10.25504/FAIRsharing.SvsBRM","name":"Let's Get Healthy! STEM Beliefs","status":"ready","contacts":[{"contact_name":"Lisa Marriott","contact_email":"marriott@ohsu.edu","contact_orcid":"0000-0001-6390-3053"}],"homepage":"http://letsgethealthy.org","citations":[{"doi":"10.1371/journal.pone.0201939","pubmed_id":31454349,"publication_id":2527}],"identifier":2802,"description":"Let's Get Healthy! is a NIH-funded program that conducts health fairs. Students' beliefs about their STEM abilities in the context of impulsivity and mindset are described in a three state sample of secondary students across Oregon, Washington, and California.","abbreviation":"LGH STEM","data_curation":{"type":"none"},"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://www.letsgethealthy.org/explore-the-data/data-from-publications/","name":"Statistical modeling documentation 1"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001301","bsg-d001301"],"name":"FAIRsharing record for: Let's Get Healthy! STEM Beliefs","abbreviation":"LGH STEM","url":"https://fairsharing.org/10.25504/FAIRsharing.SvsBRM","doi":"10.25504/FAIRsharing.SvsBRM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Let's Get Healthy! is a NIH-funded program that conducts health fairs. Students' beliefs about their STEM abilities in the context of impulsivity and mindset are described in a three state sample of secondary students across Oregon, Washington, and California.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Nutritional Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Education","Impulsivity","Mindset"],"countries":["United States"],"publications":[{"id":2527,"pubmed_id":31454349,"title":"Opposing effects of impulsivity and mindset on sources of science self-efficacy and STEM interest in adolescents","year":1975,"url":"https://www.ncbi.nlm.nih.gov/pubmed/31454349","authors":"Lisa K. Marriott, Leigh A. Coppola, Suzanne H. Mitchell, Jana L. Bouwma-Gearhart, Zunqiu Chen, Dara Shifrer, Alicia B. Feryn, and Jackilen Shannon","journal":"PLOS One","doi":"10.1371/journal.pone.0201939","created_at":"2021-09-30T08:27:10.019Z","updated_at":"2021-09-30T08:27:10.019Z"},{"id":2782,"pubmed_id":31454349,"title":"Opposing effects of impulsivity and mindset on sources of science selfefficacy and STEM interest in adolescents","year":2018,"url":"https://www.biorxiv.org/content/10.1101/377994v1","authors":"Lisa K. Marriott, Leigh A. Coppola, Suzanne H. Mitchell, Jana L. Bouwma-Gearhart, Zunqiu Chen, Dara Shifrer, and Jackilen Shannon","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:27:41.996Z","updated_at":"2021-09-30T11:28:36.487Z"}],"licence_links":[],"grants":[{"id":3500,"fairsharing_record_id":2802,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:26:18.220Z","updated_at":"2021-09-30T09:26:18.220Z","grant_id":null,"is_lead":true,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3499,"fairsharing_record_id":2802,"organisation_id":2231,"relation":"funds","created_at":"2021-09-30T09:26:18.197Z","updated_at":"2021-09-30T09:31:43.278Z","grant_id":1297,"is_lead":false,"saved_state":{"id":2231,"name":"Office of The Director, National Institutes of Health, USA","grant":"R25OD010496","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2803","type":"fairsharing_records","attributes":{"created_at":"2019-08-19T14:55:27.000Z","updated_at":"2023-12-15T10:28:37.040Z","metadata":{"doi":"10.25504/FAIRsharing.88ea35","name":"Natural History Museum Data Portal","status":"ready","contacts":[{"contact_name":"Ben Scott","contact_email":"b.scott@nhm.ac.uk","contact_orcid":"0000-0002-5590-7174"}],"homepage":"https://data.nhm.ac.uk/","citations":[],"identifier":2803,"description":"The British natural history collection is one of the most important in the world, documenting 4.5 billion years of life, the Earth and the solar system. Almost all animal, plant, mineral and fossil groups are represented. The portal's main dataset consists of specimens from the Museum's collection database, with over 4 million records from the Museum’s Palaeontology, Mineralogy, Botany, Entomology and Zoology collections.","abbreviation":"NHM Data Portal","data_curation":{"type":"not found"},"support_links":[{"url":"https://data.nhm.ac.uk/contact","name":"Contact form","type":"Contact form"},{"url":"data@nhm.ac.uk","name":"Data Portal contact","type":"Support email"},{"url":"https://github.com/NaturalHistoryMuseum/ckanext-nhm","name":"Github of source code","type":"Github"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011675","name":"re3data:r3d100011675","portal":"re3data"}],"data_access_condition":{"url":"https://fairsharing.org/2803","type":"open","notes":"The Museum is committed to open access and open science"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001302","bsg-d001302"],"name":"FAIRsharing record for: Natural History Museum Data Portal","abbreviation":"NHM Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.88ea35","doi":"10.25504/FAIRsharing.88ea35","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The British natural history collection is one of the most important in the world, documenting 4.5 billion years of life, the Earth and the solar system. Almost all animal, plant, mineral and fossil groups are represented. The portal's main dataset consists of specimens from the Museum's collection database, with over 4 million records from the Museum’s Palaeontology, Mineralogy, Botany, Entomology and Zoology collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Geochemistry","Zoology","Paleontology","Entomology","Life Science","Natural History"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2720,"pubmed_id":30985890,"title":"The Natural History Museum Data Portal.","year":2019,"url":"http://doi.org/baz038","authors":"Scott B,Baker E,Woodburn M,Vincent S,Hardy H,Smith VS","journal":"Database (Oxford)","doi":"baz038","created_at":"2021-09-30T08:27:34.062Z","updated_at":"2021-09-30T08:27:34.062Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1787,"relation":"undefined"},{"licence_name":"Natural History Museum Data Portal Terms and conditions","licence_id":551,"licence_url":"https://data.nhm.ac.uk/terms-conditions","link_id":1789,"relation":"undefined"},{"licence_name":"Natural History Museum Privacy notice","licence_id":552,"licence_url":"https://www.nhm.ac.uk/about-us/privacy-notice.html","link_id":1788,"relation":"undefined"}],"grants":[{"id":3501,"fairsharing_record_id":2803,"organisation_id":2093,"relation":"maintains","created_at":"2021-09-30T09:26:18.246Z","updated_at":"2021-09-30T09:26:18.246Z","grant_id":null,"is_lead":true,"saved_state":{"id":2093,"name":"Natural History Museum, London, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2tCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d8419f54732f8b1ec1fb2f9e78d8fda84ede0b4b/nhm.png?disposition=inline","exhaustive_licences":false}},{"id":"2804","type":"fairsharing_records","attributes":{"created_at":"2019-07-22T19:00:22.000Z","updated_at":"2023-12-15T10:32:13.530Z","metadata":{"doi":"10.25504/FAIRsharing.ea287c","name":"Canadian Disaster Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ps.cdd-bdc.sp@ps-sp.gc.ca"}],"homepage":"https://www.publicsafety.gc.ca/cnt/rsrcs/cndn-dsstr-dtbs/index-en.aspx","citations":[],"identifier":2804,"description":"The Canadian Disaster Database (CDD) contains detailed disaster information on more than 1000 natural, technological and conflict events (excluding war) that have happened since 1900 at home or abroad and that have directly affected Canadians. The database describes where and when a disaster occurred, the number of injuries, evacuations, and fatalities, as well as a rough estimate of the costs. As much as possible, the CDD contains primary data that is valid, current and supported by reliable and traceable sources, including federal institutions, provincial/territorial governments, non-governmental organizations and media sources. Data is updated and reviewed on a semi-annual basis.","abbreviation":"CDD","data_curation":{"type":"none"},"year_creation":2003,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012041","name":"re3data:r3d100012041","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001303","bsg-d001303"],"name":"FAIRsharing record for: Canadian Disaster Database","abbreviation":"CDD","url":"https://fairsharing.org/10.25504/FAIRsharing.ea287c","doi":"10.25504/FAIRsharing.ea287c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Canadian Disaster Database (CDD) contains detailed disaster information on more than 1000 natural, technological and conflict events (excluding war) that have happened since 1900 at home or abroad and that have directly affected Canadians. The database describes where and when a disaster occurred, the number of injuries, evacuations, and fatalities, as well as a rough estimate of the costs. As much as possible, the CDD contains primary data that is valid, current and supported by reliable and traceable sources, including federal institutions, provincial/territorial governments, non-governmental organizations and media sources. Data is updated and reviewed on a semi-annual basis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[],"licence_links":[],"grants":[{"id":3502,"fairsharing_record_id":2804,"organisation_id":1191,"relation":"funds","created_at":"2021-09-30T09:26:18.270Z","updated_at":"2021-09-30T09:26:18.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":1191,"name":"Government of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2808","type":"fairsharing_records","attributes":{"created_at":"2019-07-29T21:54:01.000Z","updated_at":"2024-03-25T16:30:48.064Z","metadata":{"doi":"10.25504/FAIRsharing.bece4c","name":"MISTRALS","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"mistrals-database@sedoo.fr"}],"homepage":"https://mistrals.sedoo.fr/","citations":[],"identifier":2808,"description":"PLEASE NOTE: This resource is currently undergoing an upgrade and may not be available. Their site reads: \"A major computer malfunction on December 12, 2023 has forced us to accelerate the implementation of the new MISTRALS portal.\nWe are actively working to restore access to the data. However, PI or data user, you can now ask us any questions you may have via the contact form.\" Description: The MISTRALS database is a collection of information from satellite, geological and modelling data derived from a number of different data sources both within and without the MISTRALS community. The MISTRALS initiative has 6 programmes - BioDivMex, ChArMEx, HyMex, MERMex, PaleoMex, and SICMED. Registration is required.\n","abbreviation":"MISTRALS","data_curation":{"type":"not found"},"support_links":[{"url":"charmex-database@sedoo.fr","name":"ChArMEx Contact","type":"Support email"},{"url":"databasecontact@hymex.org","name":"HyMeX Contact","type":"Support email"}],"year_creation":2010,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011673","name":"re3data:r3d100011673","portal":"re3data"}],"data_access_condition":{"type":"open","notes":"Registration required"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001307","bsg-d001307"],"name":"FAIRsharing record for: MISTRALS","abbreviation":"MISTRALS","url":"https://fairsharing.org/10.25504/FAIRsharing.bece4c","doi":"10.25504/FAIRsharing.bece4c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PLEASE NOTE: This resource is currently undergoing an upgrade and may not be available. Their site reads: \"A major computer malfunction on December 12, 2023 has forced us to accelerate the implementation of the new MISTRALS portal.\nWe are actively working to restore access to the data. However, PI or data user, you can now ask us any questions you may have via the contact form.\" Description: The MISTRALS database is a collection of information from satellite, geological and modelling data derived from a number of different data sources both within and without the MISTRALS community. The MISTRALS initiative has 6 programmes - BioDivMex, ChArMEx, HyMex, MERMex, PaleoMex, and SICMED. Registration is required.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Geophysics","Biodiversity","Earth Science","Bathymetry","Atmospheric Science","Remote Sensing","Oceanography"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Bathymetry","Cryosphere"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":3507,"fairsharing_record_id":2808,"organisation_id":1305,"relation":"maintains","created_at":"2021-09-30T09:26:18.396Z","updated_at":"2021-09-30T09:26:18.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":1305,"name":"ICARE Data and Service Centre","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3508,"fairsharing_record_id":2808,"organisation_id":1455,"relation":"maintains","created_at":"2021-09-30T09:26:18.420Z","updated_at":"2021-09-30T09:26:18.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":1455,"name":"Institut Pierre Simon Laplace (IPSL) France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3509,"fairsharing_record_id":2808,"organisation_id":2216,"relation":"maintains","created_at":"2021-09-30T09:26:18.447Z","updated_at":"2021-09-30T09:26:18.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":2216,"name":"Observatoire Midi-Pyrenees, OMP, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2810","type":"fairsharing_records","attributes":{"created_at":"2019-07-30T19:32:48.000Z","updated_at":"2022-07-20T11:40:18.672Z","metadata":{"name":"Chinese National Arctic and Antarctic Data Center","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"nadc@pric.org.cn"}],"homepage":"https://www.chinare.org.cn/en/","citations":[],"identifier":2810,"description":"The Chinese National Artic and Antarctic Data centre collects, analyses and preserves datasets from the polar environment.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.chinare.org.cn/en/news","name":"News","type":"Blog/News"},{"url":"https://www.chinare.org.cn/en/help/using-help","name":"Help and FAQ","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011380","name":"re3data:r3d100011380","portal":"re3data"}],"deprecation_date":"2022-03-02","deprecation_reason":"The english site is currently unavailable. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001309","bsg-d001309"],"name":"FAIRsharing record for: Chinese National Arctic and Antarctic Data Center","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/2810","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chinese National Artic and Antarctic Data centre collects, analyses and preserves datasets from the polar environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Atmospheric Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Antarctic","Arctic"],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":3511,"fairsharing_record_id":2810,"organisation_id":2340,"relation":"maintains","created_at":"2021-09-30T09:26:18.529Z","updated_at":"2021-09-30T09:26:18.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":2340,"name":"Polar Research Institute of China (PRIC)","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2811","type":"fairsharing_records","attributes":{"created_at":"2019-07-30T20:32:14.000Z","updated_at":"2023-06-23T11:35:21.556Z","metadata":{"doi":"10.25504/FAIRsharing.50d4cd","name":"Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations","status":"ready","contacts":[{"contact_name":"David M Winker","contact_email":"David.M.Winker@nasa.gov","contact_orcid":"0000-0002-3919-2244"}],"homepage":"https://www-calipso.larc.nasa.gov","identifier":2811,"description":"A joint effort between the US and France to collect particulate information (aerosol data) on the atmosphere and their influence on the environment and climate. This information is gathered by the CALIPSO satellite launched in 2006.","abbreviation":"CALIPSO","data_curation":{"type":"not found"},"support_links":[{"url":"https://www-calipso.larc.nasa.gov/resources/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","name":"CALIPSO Data Users Guide","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","associated_tools":[{"url":"https://www-calipso.larc.nasa.gov/tools/read_sw/index.php","name":"IDL Read Package Version 4.90v1"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012490","name":"re3data:r3d100012490","portal":"re3data"}],"data_access_condition":{"url":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/order_data.php","type":"partially open","notes":"Data can be accessed or ordered through different tools."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001310","bsg-d001310"],"name":"FAIRsharing record for: Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations","abbreviation":"CALIPSO","url":"https://fairsharing.org/10.25504/FAIRsharing.50d4cd","doi":"10.25504/FAIRsharing.50d4cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A joint effort between the US and France to collect particulate information (aerosol data) on the atmosphere and their influence on the environment and climate. This information is gathered by the CALIPSO satellite launched in 2006.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Earth Science","Atmospheric Science"],"domains":["Environmental contaminant","Environmental material","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["France","United States"],"publications":[{"id":2733,"pubmed_id":31662738,"title":"CALIPSO (IIR-CALIOP) Retrievals of Cirrus Cloud Ice Particle Concentrations.","year":2018,"url":"http://doi.org/10.5194/acp-18-17325-2018","authors":"Mitchell DL,Garnier A,Pelon J,Erfani E","journal":"Atmos Chem Phys","doi":"10.5194/acp-18-17325-2018","created_at":"2021-09-30T08:27:35.622Z","updated_at":"2021-09-30T08:27:35.622Z"},{"id":2734,"pubmed_id":31921372,"title":"The CALIPSO Version 4 Automated Aerosol Classification and Lidar Ratio Selection Algorithm.","year":2018,"url":"http://doi.org/10.5194/amt-11-6107-2018","authors":"Kim MH,Omar AH,Tackett JL,Vaughan MA,Winker DM,Trepte CR,Hu Y,Liu Z,Poole LR,Pitts MC,Kar J,Magill BE","journal":"Atmos Meas Tech","doi":"10.5194/amt-11-6107-2018","created_at":"2021-09-30T08:27:35.730Z","updated_at":"2021-09-30T08:27:35.730Z"},{"id":2735,"pubmed_id":31832108,"title":"CALIPSO IIR Version 2 Level 1b calibrated radiances: analysis and reduction of residual biases in the Northern Hemisphere.","year":2018,"url":"http://doi.org/10.5194/amt-11-2485-2018","authors":"Garnier A,Tremas T,Pelon J,Lee KP,Nobileau D,Gross-Colzy L,Pascal N,Ferrage P,Scott NA","journal":"Atmos Meas Tech","doi":"10.5194/amt-11-2485-2018","created_at":"2021-09-30T08:27:35.839Z","updated_at":"2021-09-30T08:27:35.839Z"}],"licence_links":[{"licence_name":"NASA Freedom of Information Act (FOIA)","licence_id":534,"licence_url":"https://www.nasa.gov/FOIA/index.html","link_id":1791,"relation":"undefined"},{"licence_name":"NASA No Fear Act","licence_id":537,"licence_url":"https://www.nasa.gov/offices/odeo/no-fear-act","link_id":1792,"relation":"undefined"},{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":1790,"relation":"undefined"}],"grants":[{"id":3513,"fairsharing_record_id":2811,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:26:18.618Z","updated_at":"2021-09-30T09:26:18.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3512,"fairsharing_record_id":2811,"organisation_id":475,"relation":"maintains","created_at":"2021-09-30T09:26:18.577Z","updated_at":"2021-09-30T09:26:18.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":475,"name":"Centre National d'Etudes Spatiales (CNES), Paris, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3514,"fairsharing_record_id":2811,"organisation_id":1455,"relation":"maintains","created_at":"2021-09-30T09:26:18.657Z","updated_at":"2021-09-30T09:26:18.657Z","grant_id":null,"is_lead":false,"saved_state":{"id":1455,"name":"Institut Pierre Simon Laplace (IPSL) France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2783","type":"fairsharing_records","attributes":{"created_at":"2019-05-29T17:01:36.000Z","updated_at":"2024-05-31T11:18:12.960Z","metadata":{"doi":"10.25504/FAIRsharing.nYaZ1N","name":"nmrshiftdb2","status":"ready","contacts":[{"contact_name":"Stefan Kuhn","contact_email":"stefan.kuhn@dmu.ac.uk","contact_orcid":"0000-0002-5990-4157"}],"homepage":"https://nmrshiftdb.nmr.uni-koeln.de/","citations":[{"doi":"10.1002/mrc.5418","pubmed_id":null,"publication_id":4283}],"identifier":2783,"description":"nmrshiftdb2 is an NMR database for organic structures and their nuclear magnetic resonance (NMR) spectra. It allows for spectrum prediction (13C, 1H and other nuclei) as well as for searching spectra, structures and other properties. It also features peer-reviewed submission of datasets by its users. The nmrshiftdb2 software is open source, the data is published under an open content license.","abbreviation":"nmrshiftdb2","data_curation":{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Help;jsessionid=20E1A6CFE523B177D24FEB6C0FA76344","type":"manual"},"support_links":[{"url":"nmrshiftdb2-admin@uni-koeln.de","name":"nmrshiftdb2 support","type":"Support email"},{"url":"https://nmrshiftdb.nmr.uni-koeln.de/portal/media-type/html/user/anon/page/default.psml/template/ShowWebpage","name":"nmrshiftdb2 FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Help","name":"Help Pages","type":"Help documentation"},{"url":"http://sourceforge.net/p/nmrshiftdb2/wiki/Main_Page/","name":"nmrshiftdb2 Wiki","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Quickcheck","name":"Quick Check"},{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Predict","name":"Predict an NMR Spectrum"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010316","name":"re3data:r3d100010316","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Submit;jsessionid=20E1A6CFE523B177D24FEB6C0FA76344","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001282","bsg-d001282"],"name":"FAIRsharing record for: nmrshiftdb2","abbreviation":"nmrshiftdb2","url":"https://fairsharing.org/10.25504/FAIRsharing.nYaZ1N","doi":"10.25504/FAIRsharing.nYaZ1N","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: nmrshiftdb2 is an NMR database for organic structures and their nuclear magnetic resonance (NMR) spectra. It allows for spectrum prediction (13C, 1H and other nuclei) as well as for searching spectra, structures and other properties. It also features peer-reviewed submission of datasets by its users. The nmrshiftdb2 software is open source, the data is published under an open content license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Analytical Chemistry"],"domains":["Nuclear Magnetic Resonance (NMR) spectroscopy","Small molecule"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","United Kingdom"],"publications":[{"id":1674,"pubmed_id":14632418,"title":"NMRShiftDB-constructing a free chemical information system with open-source components.","year":2003,"url":"http://doi.org/10.1021/ci0341363","authors":"Steinbeck C,Krause S,Kuhn S","journal":"J Chem Inf Comput Sci","doi":"10.1021/ci0341363","created_at":"2021-09-30T08:25:27.546Z","updated_at":"2021-09-30T08:25:27.546Z"},{"id":2187,"pubmed_id":25998807,"title":"Facilitating quality control for spectra assignments of small organic molecules: nmrshiftdb2--a free in-house NMR database with integrated LIMS for academic service laboratories.","year":2015,"url":"http://doi.org/10.1002/mrc.4263","authors":"Kuhn S,Schlorer NE","journal":"Magn Reson Chem","doi":"10.1002/mrc.4263","created_at":"2021-09-30T08:26:26.573Z","updated_at":"2021-09-30T08:26:26.573Z"},{"id":2319,"pubmed_id":15464159,"title":"NMRShiftDB -- compound identification and structure elucidation support through a free community-built web database.","year":2004,"url":"http://doi.org/10.1016/j.phytochem.2004.08.027","authors":"Steinbeck C,Kuhn S","journal":"Phytochemistry","doi":"10.1016/j.phytochem.2004.08.027","created_at":"2021-09-30T08:26:44.558Z","updated_at":"2021-09-30T08:26:44.558Z"},{"id":4283,"pubmed_id":null,"title":"Twenty years of nmrshiftdb2: A case study of an open database for analytical chemistry","year":2023,"url":"http://dx.doi.org/10.1002/mrc.5418","authors":"Kuhn, Stefan; Kolshorn, Heinz; Steinbeck, Christoph; Schlörer, Nils; ","journal":"Magnetic Reson in Chemistry","doi":"10.1002/mrc.5418","created_at":"2024-05-29T13:29:25.157Z","updated_at":"2024-05-29T13:29:25.157Z"}],"licence_links":[{"licence_name":"nmrshiftdb2 data license","licence_id":594,"licence_url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdbhtml/nmrshiftdb2datalicense.txt","link_id":480,"relation":"undefined"}],"grants":[{"id":3453,"fairsharing_record_id":2783,"organisation_id":3043,"relation":"maintains","created_at":"2021-09-30T09:26:16.990Z","updated_at":"2021-09-30T09:26:16.990Z","grant_id":null,"is_lead":true,"saved_state":{"id":3043,"name":"University of Cologne, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3454,"fairsharing_record_id":2783,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:17.022Z","updated_at":"2021-09-30T09:29:48.837Z","grant_id":416,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"LI 2858/11","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2784","type":"fairsharing_records","attributes":{"created_at":"2019-06-15T15:35:14.000Z","updated_at":"2024-03-27T22:25:59.237Z","metadata":{"doi":"10.25504/FAIRsharing.7CVoS6","name":"SynBioHub","status":"ready","contacts":[{"contact_name":"Chris Myers","contact_email":"myers@ece.utah.edu","contact_orcid":"0000-0002-8762-8444"}],"homepage":"https://synbiohub.org","citations":[{"doi":"10.1021/acssynbio.7b00403","pubmed_id":29316788,"publication_id":1184}],"identifier":2784,"description":"SynBioHub is a design repository for people designing biological constructs. It enables DNA and protein designs to be uploaded, then provides a shareable link to allow others to view them. SynBioHub also facilitates searching for information about existing useful parts and designs by combining data from a variety of sources.","abbreviation":"SBH","data_curation":{"type":"not found"},"support_links":[{"url":"https://groups.google.com/forum/#!forum/synbiohub-users","name":"SynBioHub Users Forum","type":"Forum"},{"url":"https://wiki.synbiohub.org/aboutsynbiohub/","name":"About SynBioHub","type":"Help documentation"},{"url":"https://wiki.synbiohub.org/","name":"Wiki Pages","type":"Help documentation"},{"url":"https://github.com/SynBioHub/synbiohub","name":"GitHub repository","type":"Github"}],"year_creation":2017,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://synbiohub.org/login?next=%2Fsubmit","type":"open","notes":"Free account required to submit data."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001283","bsg-d001283"],"name":"FAIRsharing record for: SynBioHub","abbreviation":"SBH","url":"https://fairsharing.org/10.25504/FAIRsharing.7CVoS6","doi":"10.25504/FAIRsharing.7CVoS6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SynBioHub is a design repository for people designing biological constructs. It enables DNA and protein designs to be uploaded, then provides a shareable link to allow others to view them. SynBioHub also facilitates searching for information about existing useful parts and designs by combining data from a variety of sources.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11558},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12261}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioengineering","Synthetic Biology"],"domains":["Deoxyribonucleic acid","Protein"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1184,"pubmed_id":29316788,"title":"SynBioHub: A Standards-Enabled Design Repository for Synthetic Biology.","year":2018,"url":"http://doi.org/10.1021/acssynbio.7b00403","authors":"McLaughlin JA,Myers CJ,Zundel Z,Misirli G,Zhang M,Ofiteru ID,Goni-Moreno A,Wipat A","journal":"ACS Synth Biol","doi":"10.1021/acssynbio.7b00403","created_at":"2021-09-30T08:24:31.616Z","updated_at":"2021-09-30T08:24:31.616Z"}],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":2414,"relation":"undefined"}],"grants":[{"id":3456,"fairsharing_record_id":2784,"organisation_id":3144,"relation":"maintains","created_at":"2021-09-30T09:26:17.088Z","updated_at":"2024-03-27T22:15:56.006Z","grant_id":null,"is_lead":true,"saved_state":{"id":3144,"name":"University of Utah, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3457,"fairsharing_record_id":2784,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:26:17.121Z","updated_at":"2021-09-30T09:26:17.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3458,"fairsharing_record_id":2784,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.145Z","updated_at":"2021-09-30T09:26:17.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3455,"fairsharing_record_id":2784,"organisation_id":2145,"relation":"maintains","created_at":"2021-09-30T09:26:17.055Z","updated_at":"2024-03-27T22:15:56.006Z","grant_id":null,"is_lead":true,"saved_state":{"id":2145,"name":"Newcastle University, Newcastle upon Tyne, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZnc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4956b6d1f00326e1fdfc61f84b877a7cd316da7a/synbiohub.png?disposition=inline","exhaustive_licences":false}},{"id":"2785","type":"fairsharing_records","attributes":{"created_at":"2019-06-25T09:37:44.000Z","updated_at":"2023-12-15T10:30:11.869Z","metadata":{"doi":"10.25504/FAIRsharing.QrPuK3","name":"International Ocean Discovery Program Publications Registry","status":"ready","contacts":[{"contact_name":"Lorri Peters","contact_email":"information@iodp.tamu.edu","contact_orcid":"0000-0003-4951-0223"}],"homepage":"http://publications.iodp.org/","citations":[],"identifier":2785,"description":"IODP Publications stores the scientific report and publication series that summarizes the scientific and technical accomplishments of each IODP expedition. These publications are linked to IODP data repositories.","abbreviation":"IODP Publications","data_curation":{"url":"http://publications.iodp.org/policies.html#author","type":"manual"},"support_links":[{"url":"http://www.iodp.org/resources/about-publications","name":"About IODP Publications","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://publications.iodp.org/policies.html#author","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001284","bsg-d001284"],"name":"FAIRsharing record for: International Ocean Discovery Program Publications Registry","abbreviation":"IODP Publications","url":"https://fairsharing.org/10.25504/FAIRsharing.QrPuK3","doi":"10.25504/FAIRsharing.QrPuK3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IODP Publications stores the scientific report and publication series that summarizes the scientific and technical accomplishments of each IODP expedition. These publications are linked to IODP data repositories.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Geophysics","Earth Science"],"domains":["Marine environment","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"IODP Publication Policies","licence_id":447,"licence_url":"http://publications.iodp.org/policies.html","link_id":127,"relation":"undefined"}],"grants":[{"id":3459,"fairsharing_record_id":2785,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.175Z","updated_at":"2021-09-30T09:26:17.175Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3460,"fairsharing_record_id":2785,"organisation_id":2733,"relation":"maintains","created_at":"2021-09-30T09:26:17.204Z","updated_at":"2021-09-30T09:26:17.204Z","grant_id":null,"is_lead":true,"saved_state":{"id":2733,"name":"Texas A\u0026M University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3461,"fairsharing_record_id":2785,"organisation_id":1505,"relation":"funds","created_at":"2021-09-30T09:26:17.229Z","updated_at":"2021-09-30T09:26:17.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":1505,"name":"International Ocean Discovery Program (IODP), San Diego, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2786","type":"fairsharing_records","attributes":{"created_at":"2019-06-25T09:43:53.000Z","updated_at":"2023-06-23T16:12:28.742Z","metadata":{"doi":"10.25504/FAIRsharing.1jihTO","name":"International Ocean Discovery Program Janus Web Database","status":"ready","contacts":[{"contact_name":"Lorri Peters","contact_email":"information@iodp.tamu.edu","contact_orcid":"0000-0003-4951-0223"}],"homepage":"http://www-odp.tamu.edu/database/","identifier":2786,"description":"The Janus database contains data from DSDP, ODP, and Phase I of the Integrated Ocean Drilling Program. This includes data gathered between 1968 and 2008 as a result of Deep Sea Drilling Project (DSDP; 1968–1984) Legs 1–96, Ocean Drilling Program (ODP; 1985–2003) Legs 101–210, and IODP-I Expeditions 301–312.","abbreviation":"Janus","data_curation":{"url":"http://www-odp.tamu.edu/sciops/","type":"not found"},"year_creation":1968,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001285","bsg-d001285"],"name":"FAIRsharing record for: International Ocean Discovery Program Janus Web Database","abbreviation":"Janus","url":"https://fairsharing.org/10.25504/FAIRsharing.1jihTO","doi":"10.25504/FAIRsharing.1jihTO","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Janus database contains data from DSDP, ODP, and Phase I of the Integrated Ocean Drilling Program. This includes data gathered between 1968 and 2008 as a result of Deep Sea Drilling Project (DSDP; 1968–1984) Legs 1–96, Ocean Drilling Program (ODP; 1985–2003) Legs 101–210, and IODP-I Expeditions 301–312.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Geology","Geophysics","Earth Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3462,"fairsharing_record_id":2786,"organisation_id":2071,"relation":"maintains","created_at":"2021-09-30T09:26:17.253Z","updated_at":"2021-09-30T09:26:17.253Z","grant_id":null,"is_lead":true,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3463,"fairsharing_record_id":2786,"organisation_id":2733,"relation":"maintains","created_at":"2021-09-30T09:26:17.278Z","updated_at":"2021-09-30T09:26:17.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":2733,"name":"Texas A\u0026M University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3464,"fairsharing_record_id":2786,"organisation_id":1505,"relation":"funds","created_at":"2021-09-30T09:26:17.304Z","updated_at":"2021-09-30T09:26:17.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":1505,"name":"International Ocean Discovery Program (IODP), San Diego, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2787","type":"fairsharing_records","attributes":{"created_at":"2019-06-25T10:37:14.000Z","updated_at":"2021-11-24T13:16:40.154Z","metadata":{"doi":"10.25504/FAIRsharing.7HtoZI","name":"NERC Earth Observation Data Centre Data Archive","status":"deprecated","homepage":"https://catalogue.ceda.ac.uk/record/party/2/","identifier":2787,"description":"The NERC Earth Observation Data Centre Data Archive was the Natural Environment Research Council's (NERC) Designated Data Centre for Earth Observation. Together with the BADC it has been merged into the CEDA Archive.","abbreviation":"NEODC","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2019-06-25","deprecation_reason":"Since November 2016, the functions of the British Atmospheric Data Centre (BADC) and the NERC Earth Observation Data Centre (NEODC) data centres are operated by the CEDA Archive (http://www.ceda.ac.uk/data-centres/).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001286","bsg-d001286"],"name":"FAIRsharing record for: NERC Earth Observation Data Centre Data Archive","abbreviation":"NEODC","url":"https://fairsharing.org/10.25504/FAIRsharing.7HtoZI","doi":"10.25504/FAIRsharing.7HtoZI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NERC Earth Observation Data Centre Data Archive was the Natural Environment Research Council's (NERC) Designated Data Centre for Earth Observation. Together with the BADC it has been merged into the CEDA Archive.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":3465,"fairsharing_record_id":2787,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:26:17.329Z","updated_at":"2021-09-30T09:26:17.329Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3466,"fairsharing_record_id":2787,"organisation_id":2519,"relation":"maintains","created_at":"2021-09-30T09:26:17.353Z","updated_at":"2021-09-30T09:26:17.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2795","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T11:32:42.000Z","updated_at":"2023-12-15T10:32:00.282Z","metadata":{"doi":"10.25504/FAIRsharing.lFdTxB","name":"Disbiome","status":"ready","contacts":[{"contact_name":"Bart de Spiegeleer","contact_email":"bart.despiegeleer@UGent.be","contact_orcid":"0000-0001-6794-3108"}],"homepage":"https://disbiome.ugent.be","citations":[{"doi":"10.1186/s12866-018-1197-5","pubmed_id":29866037,"publication_id":2548}],"identifier":2795,"description":"Disbiome is a database covering microbial composition changes in different kinds of diseases. Disease names, detection methods or organism names can be used as search queries giving that return information related to the experiment (related disease/bacteria, abundancy subject/control, control type, detection method and related literature).","abbreviation":"Disbiome","data_curation":{"type":"manual"},"support_links":[{"url":"https://disbiome.ugent.be/news","name":"News","type":"Blog/News"},{"url":"https://disbiome.ugent.be/help","name":"Help Pages","type":"Help documentation"},{"url":"https://disbiome.ugent.be/statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://disbiome.ugent.be/home","type":"open","notes":"Publications and/or relevant data can be included in the database throught a pre-formatted email."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001294","bsg-d001294"],"name":"FAIRsharing record for: Disbiome","abbreviation":"Disbiome","url":"https://fairsharing.org/10.25504/FAIRsharing.lFdTxB","doi":"10.25504/FAIRsharing.lFdTxB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Disbiome is a database covering microbial composition changes in different kinds of diseases. Disease names, detection methods or organism names can be used as search queries giving that return information related to the experiment (related disease/bacteria, abundancy subject/control, control type, detection method and related literature).","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12262}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Microbiology"],"domains":["Parkinson's disease","Liver disease","Kidney disease","Disease","Liver","Diabetes mellitus","Microbiome"],"taxonomies":["Bifidobacterium","Blautia","Faecalibacterium prausnitzii","Fusobacteria","Lachnospiraceae","Lactobacillus","Neisseria","Parabacteroides","Prevotella","Roseburia"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":2548,"pubmed_id":29866037,"title":"Disbiome database: linking the microbiome to disease.","year":2018,"url":"http://doi.org/10.1186/s12866-018-1197-5","authors":"Janssens Y,Nielandt J,Bronselaer A,Debunne N,Verbeke F,Wynendaele E,Van Immerseel F,Vandewynckel YP,De Tre G,De Spiegeleer B","journal":"BMC Microbiol","doi":"10.1186/s12866-018-1197-5","created_at":"2021-09-30T08:27:12.469Z","updated_at":"2021-09-30T08:27:12.469Z"},{"id":3345,"pubmed_id":null,"title":"Disbiome: A Database Describing Microbiome Alterations in Different Disease States","year":2019,"url":"http://dx.doi.org/10.1016/B978-0-12-801238-3.11526-0","authors":"Janssens, Yorick; Bronselaer, Antoon; Wynendaele, Evelien; De Tré, Guy; De Spiegeleer, Bart; ","journal":"Systems Medicine","doi":"10.1016/b978-0-12-801238-3.11526-0","created_at":"2022-05-04T14:22:13.822Z","updated_at":"2022-05-04T14:22:13.822Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2674,"relation":"applies_to_content"}],"grants":[{"id":3485,"fairsharing_record_id":2795,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:26:17.846Z","updated_at":"2021-09-30T09:26:17.846Z","grant_id":null,"is_lead":true,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9333,"fairsharing_record_id":2795,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:31.030Z","updated_at":"2022-04-11T12:07:31.056Z","grant_id":1009,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"1S21017N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2796","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T11:53:09.000Z","updated_at":"2023-06-23T10:19:57.550Z","metadata":{"doi":"10.25504/FAIRsharing.zZHCUQ","name":"Unimod","status":"ready","contacts":[{"contact_name":"John S. Cottrell","contact_email":"jcottrell@matrixscience.com"}],"homepage":"http://www.unimod.org","citations":[{"doi":"10.1002/pmic.200300744","pubmed_id":15174123,"publication_id":809}],"identifier":2796,"description":"Unimod is a community-supported, comprehensive database of protein modifications for mass spectrometry applications. The aim is to provide accurate and verifiable values, derived from elemental compositions, for the mass differences introduced by all types of natural and artificial modifications. Other important information includes any mass change, (neutral loss), that occurs during MS/MS analysis, and site specificity, (which residues are susceptible to modification and any constraints on the position of the modification within the protein or peptide).","abbreviation":"Unimod","data_curation":{"url":"http://www.unimod.org/curating.html","type":"manual/automated","notes":"User who creates a new modification record becomes the curator of that record. A record can only be modified by its curator or an administrator. To add a record, you must register and log in. The process is fully automatic."},"support_links":[{"url":"http://www.unimod.org/unimod_help.html","name":"Unimod Help","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"url":"http://www.unimod.org/unimod_help.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.unimod.org/curating.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001295","bsg-d001295"],"name":"FAIRsharing record for: Unimod","abbreviation":"Unimod","url":"https://fairsharing.org/10.25504/FAIRsharing.zZHCUQ","doi":"10.25504/FAIRsharing.zZHCUQ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Unimod is a community-supported, comprehensive database of protein modifications for mass spectrometry applications. The aim is to provide accurate and verifiable values, derived from elemental compositions, for the mass differences introduced by all types of natural and artificial modifications. Other important information includes any mass change, (neutral loss), that occurs during MS/MS analysis, and site specificity, (which residues are susceptible to modification and any constraints on the position of the modification within the protein or peptide).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics"],"domains":["Mass spectrum","Protein modification","Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States"],"publications":[{"id":809,"pubmed_id":15174123,"title":"Unimod: Protein modifications for mass spectrometry.","year":2004,"url":"http://doi.org/10.1002/pmic.200300744","authors":"Creasy DM,Cottrell JS","journal":"Proteomics","doi":"10.1002/pmic.200300744","created_at":"2021-09-30T08:23:49.262Z","updated_at":"2021-09-30T08:23:49.262Z"}],"licence_links":[{"licence_name":"Design Science License (DSL)","licence_id":236,"licence_url":"https://www.gnu.org/licenses/dsl.html","link_id":2318,"relation":"undefined"},{"licence_name":"Unimod Copyleft","licence_id":820,"licence_url":"http://www.unimod.org/login.php?message=expired","link_id":2325,"relation":"undefined"}],"grants":[{"id":3487,"fairsharing_record_id":2796,"organisation_id":1774,"relation":"maintains","created_at":"2021-09-30T09:26:17.896Z","updated_at":"2021-09-30T09:26:17.896Z","grant_id":null,"is_lead":true,"saved_state":{"id":1774,"name":"Matrix Science, London, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2797","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T22:22:51.000Z","updated_at":"2023-12-15T10:32:47.323Z","metadata":{"doi":"10.25504/FAIRsharing.00dfd8","name":"Advanced Spaceborne Thermal Emission and Reflection Radiometer","status":"ready","contacts":[{"contact_name":"Yasushi Yamaguchi","contact_email":"yasushi@nagoya-u.jp","contact_orcid":"0000-0002-2554-1060"}],"homepage":"https://asterweb.jpl.nasa.gov","identifier":2797,"description":"ASTER Data is generated as a result of the collaboration between US and Japan space program where thermal and sensing imaging technology used to create detailed maps of land surface temperature, reflectance, and elevation. Scientist can freely use this information to inform geological research or the Earth.","abbreviation":"ASTER Data","data_curation":{"type":"not found"},"support_links":[{"url":"https://asterweb.jpl.nasa.gov/latest.asp","name":"News","type":"Blog/News"},{"url":"https://science.jpl.nasa.gov/index.cfm?FuseAction=ShowFeedback\u0026PersonID=236","name":"contact","type":"Contact form"},{"url":"https://asterweb.jpl.nasa.gov/biblio.asp","name":"Bibliography","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011708","name":"re3data:r3d100011708","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010478","name":"SciCrunch:RRID:SCR_010478","portal":"SciCrunch"}],"data_access_condition":{"url":"https://asterweb.jpl.nasa.gov/obtaining_data.asp","type":"open","notes":"ASTER is an on-demand instrument: data is only acquired over a location if a request has been submitted to observe that area. Any data that ASTER has already acquired are available."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001296","bsg-d001296"],"name":"FAIRsharing record for: Advanced Spaceborne Thermal Emission and Reflection Radiometer","abbreviation":"ASTER Data","url":"https://fairsharing.org/10.25504/FAIRsharing.00dfd8","doi":"10.25504/FAIRsharing.00dfd8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ASTER Data is generated as a result of the collaboration between US and Japan space program where thermal and sensing imaging technology used to create detailed maps of land surface temperature, reflectance, and elevation. Scientist can freely use this information to inform geological research or the Earth.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Earth Science","Hydrology"],"domains":["Climate","Imaging"],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation","Natural Resources, Earth and Environment","Satellite Data"],"countries":["Japan","United States"],"publications":[],"licence_links":[],"grants":[{"id":3488,"fairsharing_record_id":2797,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:26:17.920Z","updated_at":"2021-09-30T09:26:17.920Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3489,"fairsharing_record_id":2797,"organisation_id":1859,"relation":"maintains","created_at":"2021-09-30T09:26:17.946Z","updated_at":"2021-09-30T09:26:17.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":1859,"name":"Ministry of Economy Trade and Industry (METI), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2775","type":"fairsharing_records","attributes":{"created_at":"2019-05-13T13:42:34.000Z","updated_at":"2023-06-22T17:12:37.847Z","metadata":{"doi":"10.25504/FAIRsharing.sFzdV7","name":"Protein Data Bank in Europe - Knowledge Base","status":"ready","contacts":[{"contact_name":"Mihaly Varadi","contact_email":"mvaradi@ebi.ac.uk"}],"homepage":"http://pdbe-kb.org","citations":[{"doi":"10.1093/nar/gkz853","pubmed_id":31584092,"publication_id":1453}],"identifier":2775,"description":"PDBe-KB (Protein Data Bank in Europe - Knowledge Base) is a community-driven resource managed by the PDBe team, collating functional annotations and predictions for structure data in the PDB archive. PDBe-KB is a collaborative effort between PDBe and a diverse group of bioinformatics resources and research teams. The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research.","abbreviation":"PDBe-KB","data_curation":{"type":"not found"},"support_links":[{"url":"pdbehelp@ebi.ac.uk","name":"PDBe Helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/news","name":"News","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/guidelines","name":"Collaboration Guidelines","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/partners","name":"Collaborators","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/","name":"@PDBeurope","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/join","type":"controlled","notes":"Open to members of the PDBe-KB consortium"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001274","bsg-d001274"],"name":"FAIRsharing record for: Protein Data Bank in Europe - Knowledge Base","abbreviation":"PDBe-KB","url":"https://fairsharing.org/10.25504/FAIRsharing.sFzdV7","doi":"10.25504/FAIRsharing.sFzdV7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBe-KB (Protein Data Bank in Europe - Knowledge Base) is a community-driven resource managed by the PDBe team, collating functional annotations and predictions for structure data in the PDB archive. PDBe-KB is a collaborative effort between PDBe and a diverse group of bioinformatics resources and research teams. The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12841}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Bioinformatics","Structural Biology"],"domains":["Protein structure","Protein folding","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1178,"pubmed_id":30445541,"title":"SIFTS: updated Structure Integration with Function, Taxonomy and Sequences resource allows 40-fold increase in coverage of structure-based annotations for proteins.","year":2018,"url":"http://doi.org/10.1093/nar/gky1114","authors":"Dana JM,Gutmanas A,Tyagi N,Qi G,O'Donovan C,Martin M,Velankar S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1114","created_at":"2021-09-30T08:24:30.972Z","updated_at":"2021-09-30T11:29:02.267Z"},{"id":1453,"pubmed_id":31584092,"title":"PDBe-KB: a community-driven resource for structural and functional annotations.","year":2019,"url":"http://doi.org/10.1093/nar/gkz853","authors":"PDBe-KB consortium ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz853","created_at":"2021-09-30T08:25:02.392Z","updated_at":"2021-09-30T11:29:51.378Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":299,"relation":"undefined"}],"grants":[{"id":3436,"fairsharing_record_id":2775,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:16.502Z","updated_at":"2021-09-30T09:26:16.502Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2777","type":"fairsharing_records","attributes":{"created_at":"2019-06-12T14:06:28.000Z","updated_at":"2023-12-15T10:32:33.052Z","metadata":{"doi":"10.25504/FAIRsharing.PeLjos","name":"iGEM Registry of Standard Biological Parts","status":"ready","contacts":[{"contact_name":"Vinoo Selvarajhah","contact_email":"vinoo@igem.org"}],"homepage":"http://parts.igem.org","identifier":2777,"description":"The iGEM Parts Registry is a growing collection of genetic parts that can be mixed and matched to build synthetic biology devices and systems. As part of the synthetic biology community's efforts to make biology easier to engineer, it provides a source of genetic parts to iGEM teams and academic labs. You can learn more about iGEM Teams and Labs at iGEM.org.","abbreviation":"iGEM","data_curation":{"url":"http://parts.igem.org/Collections#How_are_these_collections_curated.3F","type":"manual"},"support_links":[{"url":"http://parts.igem.org/Help:Contents","name":"Help Pages","type":"Help documentation"},{"url":"http://parts.igem.org/Videos","name":"iGEM Videos","type":"Training documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://parts.igem.org/cgi/sequencing/index.cgi","name":"Sequence Analysis"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://parts.igem.org/Add_a_Part_to_the_Registry","type":"controlled","notes":"Members of iGEM teams and labs can submit data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001276","bsg-d001276"],"name":"FAIRsharing record for: iGEM Registry of Standard Biological Parts","abbreviation":"iGEM","url":"https://fairsharing.org/10.25504/FAIRsharing.PeLjos","doi":"10.25504/FAIRsharing.PeLjos","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The iGEM Parts Registry is a growing collection of genetic parts that can be mixed and matched to build synthetic biology devices and systems. As part of the synthetic biology community's efforts to make biology easier to engineer, it provides a source of genetic parts to iGEM teams and academic labs. You can learn more about iGEM Teams and Labs at iGEM.org.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Bioengineering"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3440,"fairsharing_record_id":2777,"organisation_id":1312,"relation":"maintains","created_at":"2021-09-30T09:26:16.602Z","updated_at":"2021-09-30T09:26:16.602Z","grant_id":null,"is_lead":true,"saved_state":{"id":1312,"name":"iGEM Foundation","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2779","type":"fairsharing_records","attributes":{"created_at":"2019-06-12T19:19:19.000Z","updated_at":"2023-12-15T10:32:56.558Z","metadata":{"doi":"10.25504/FAIRsharing.lKaOme","name":"BioGRID Open Repository of CRISPR Screens","status":"ready","contacts":[{"contact_name":"Rose Oughtred","contact_email":"biogridadmin@gmail.com","contact_orcid":"0000-0002-6475-3373"}],"homepage":"https://orcs.thebiogrid.org/","citations":[{"doi":"10.1093/nar/gky1079","pubmed_id":30476227,"publication_id":2522}],"identifier":2779,"description":"BioGRID ORCS is an open repository of CRISPR screens compiled through comprehensive curation efforts. Our current index is version 1.0.3 and searches more than 49 publications and 58,161 genes to return more than 895 CRISPR screens from 3 major model organism species and 629 cell lines. All screen data are freely provided through our search index and available via download in a wide variety of standardized formats.","abbreviation":"ORCS","data_curation":{"url":"https://wiki.thebiogrid.org/doku.php/orcs:curation_description","type":"manual/automated"},"support_links":[{"url":"https://wiki.thebiogrid.org/doku.php/ORCS","name":"Help and Support","type":"Help documentation"},{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:statistics","name":"Statistics","type":"Help documentation"},{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:aboutus","name":"About BioGRID ORCS","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","associated_tools":[{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:tools","name":"Tool Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013160","name":"re3data:r3d100013160","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:contribute","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001278","bsg-d001278"],"name":"FAIRsharing record for: BioGRID Open Repository of CRISPR Screens","abbreviation":"ORCS","url":"https://fairsharing.org/10.25504/FAIRsharing.lKaOme","doi":"10.25504/FAIRsharing.lKaOme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioGRID ORCS is an open repository of CRISPR screens compiled through comprehensive curation efforts. Our current index is version 1.0.3 and searches more than 49 publications and 58,161 genes to return more than 895 CRISPR screens from 3 major model organism species and 629 cell lines. All screen data are freely provided through our search index and available via download in a wide variety of standardized formats.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Quantitative Genetics","Life Science","Database Management","Biology"],"domains":["Cell line","Gene knockout","High Throughput Screening","Phenotype","Gene","CRISPR"],"taxonomies":["Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":2522,"pubmed_id":30476227,"title":"The BioGRID interaction database: 2019 update","year":2018,"url":"http://doi.org/10.1093/nar/gky1079","authors":"Oughtred R, Stark C, Breitkreutz BJ, Rust J, Boucher L, Chang C, Kolas N, O'Donnell L, Leung G, McAdam R, Zhang F, Dolma S, Willems A, Coulombe-Huntington J, Chatr-Aryamontri A, Dolinski K, Tyers M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1079","created_at":"2021-09-30T08:27:09.407Z","updated_at":"2021-09-30T11:29:38.670Z"}],"licence_links":[],"grants":[{"id":3443,"fairsharing_record_id":2779,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:16.679Z","updated_at":"2021-09-30T09:26:16.679Z","grant_id":null,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3442,"fairsharing_record_id":2779,"organisation_id":2038,"relation":"funds","created_at":"2021-09-30T09:26:16.652Z","updated_at":"2021-09-30T09:31:53.160Z","grant_id":1371,"is_lead":false,"saved_state":{"id":2038,"name":"National Institutes of Health Office of Research Infrastructure Programs","grant":"R01OD010929","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2781","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T23:43:19.000Z","updated_at":"2023-04-20T09:44:22.005Z","metadata":{"doi":"10.25504/FAIRsharing.U9GXhB","name":"National Coronial Information System","status":"deprecated","contacts":[{"contact_name":"NCIS","contact_email":"ncis@ncis.org.au","contact_orcid":null}],"homepage":"https://www.ncis.org.au/","citations":[],"identifier":2781,"description":"The National Coronial Information System (NCIS) is a secure database of information on deaths reported to a coroner in Australia and New Zealand. The NCIS contains data on almost 500,000 cases, investigated by a coroner. Data includes demographic information on the deceased, contextual details on the nature of the fatality and searchable medico-legal case reports including the coronial finding, autopsy and toxicology report and police notification of death. The database is available to coroners to assist investigations and access is available on application (subject to ethics approval processes) for research projects.","abbreviation":"NCIS","data_curation":{},"support_links":[{"url":"ncis@ncis.org.au","type":"Support email"}],"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012912","name":"re3data:r3d100012912","portal":"re3data"}],"deprecation_date":"2023-03-21","deprecation_reason":"Geo-blocking has been applied to this resource and it can only be accessed by users in Australia and New Zealand. As this resource is no longer available for FAIRsharing to review, we have deprecated the record, but keep it accessible within the registry to provide our user community with the information regarding its life cycle status.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001280","bsg-d001280"],"name":"FAIRsharing record for: National Coronial Information System","abbreviation":"NCIS","url":"https://fairsharing.org/10.25504/FAIRsharing.U9GXhB","doi":"10.25504/FAIRsharing.U9GXhB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Coronial Information System (NCIS) is a secure database of information on deaths reported to a coroner in Australia and New Zealand. The NCIS contains data on almost 500,000 cases, investigated by a coroner. Data includes demographic information on the deceased, contextual details on the nature of the fatality and searchable medico-legal case reports including the coronial finding, autopsy and toxicology report and police notification of death. The database is available to coroners to assist investigations and access is available on application (subject to ethics approval processes) for research projects.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12843}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Public Health","Epidemiology"],"domains":["Resource collection"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1984,"pubmed_id":31240008,"title":"National Coronial Information System: Epidemiology and the Coroner in Australia","year":2017,"url":"http://doi.org/10.23907/2017.049","authors":"Eva Saar, Lyndal Bugeja, David L. Ranson","journal":"Academic Forensic Pathology","doi":"10.23907/2017.049","created_at":"2021-09-30T08:26:03.273Z","updated_at":"2021-09-30T08:26:03.273Z"}],"licence_links":[{"licence_name":"NCIS Copyright","licence_id":560,"licence_url":"https://www.ncis.org.au/about-us/copyright/","link_id":767,"relation":"undefined"},{"licence_name":"NCIS Disclaimer","licence_id":561,"licence_url":"https://www.ncis.org.au/about-us/disclaimer/","link_id":765,"relation":"undefined"},{"licence_name":"NCIS Privacy Statement","licence_id":562,"licence_url":"https://www.ncis.org.au/about-us/privacy-statement/","link_id":764,"relation":"undefined"}],"grants":[{"id":3447,"fairsharing_record_id":2781,"organisation_id":1981,"relation":"maintains","created_at":"2021-09-30T09:26:16.779Z","updated_at":"2021-09-30T09:26:16.779Z","grant_id":null,"is_lead":true,"saved_state":{"id":1981,"name":"National Coronial Information System (NCIS)","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2793","type":"fairsharing_records","attributes":{"created_at":"2019-07-15T19:19:11.000Z","updated_at":"2023-12-15T10:31:41.821Z","metadata":{"doi":"10.25504/FAIRsharing.WDGf1A","name":"Arctic Data Archive System","status":"ready","contacts":[{"contact_name":"ADS General Contact","contact_email":"ads-info@nipr.ac.jp"}],"homepage":"https://ads.nipr.ac.jp/portal/index.action","identifier":2793,"description":"The Arctic Data Archive System is a collection of many observational (atmosphere, ocean, terrestrial, and ecology) and model simulation datasets, and promote utilization of these datasets. ADS is the central repository of archived data on Arctic research in Japan.","abbreviation":"ADS","data_curation":{"type":"not found"},"support_links":[{"url":"https://ads.nipr.ac.jp/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ads.nipr.ac.jp/about-us","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ADS_NIPR","name":"@ADS_NIPR","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012463","name":"re3data:r3d100012463","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ads.nipr.ac.jp/registration/about/summary","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001292","bsg-d001292"],"name":"FAIRsharing record for: Arctic Data Archive System","abbreviation":"ADS","url":"https://fairsharing.org/10.25504/FAIRsharing.WDGf1A","doi":"10.25504/FAIRsharing.WDGf1A","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arctic Data Archive System is a collection of many observational (atmosphere, ocean, terrestrial, and ecology) and model simulation datasets, and promote utilization of these datasets. ADS is the central repository of archived data on Arctic research in Japan.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Meteorology","Earth Science","Atmospheric Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Arctic","Cryosphere","Paleoclimatology"],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"ADS Data Policy","licence_id":10,"licence_url":"https://ads.nipr.ac.jp/data-policy/","link_id":2107,"relation":"undefined"},{"licence_name":"ADS Privacy Policy","licence_id":11,"licence_url":"https://ads.nipr.ac.jp/privacy-policy/","link_id":2106,"relation":"undefined"}],"grants":[{"id":3482,"fairsharing_record_id":2793,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:26:17.771Z","updated_at":"2021-09-30T09:26:17.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3483,"fairsharing_record_id":2793,"organisation_id":108,"relation":"maintains","created_at":"2021-09-30T09:26:17.796Z","updated_at":"2021-09-30T09:26:17.796Z","grant_id":null,"is_lead":true,"saved_state":{"id":108,"name":"Arctic Environment Research Center, National Institute of Polar Research (NIPR), Tokyo, Japan","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2794","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T10:44:06.000Z","updated_at":"2022-07-20T12:26:32.784Z","metadata":{"doi":"10.25504/FAIRsharing.abbexa","name":"DES-TOMATO","status":"deprecated","contacts":[{"contact_name":"Vladimir Bajic","contact_email":"vladimir.bajic@kaust.edu.sa"}],"homepage":"https://www.cbrc.kaust.edu.sa/des_tomato/home/index.php","citations":[{"doi":"10.1038/s41598-017-05448-0","pubmed_id":28729549,"publication_id":2526}],"identifier":2794,"description":"DES-TOMATO is a topic-specific literature exploration system developed to allow the exploration of information related to tomato. The information provided in DES-TOMATO is obtained through the text-mining of available scientific literature, namely full-length articles in PubMed Central and titles and abstracts in PubMed.","abbreviation":"DES-TOMATO","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.cbrc.kaust.edu.sa/des_tomato/mykbase/show_help.php","name":"Software Manual","type":"Help documentation"},{"url":"https://www.youtube.com/watch?time_continue=3\u0026v=6l3g4B2aN7k","name":"Video Tutorial","type":"Video"},{"url":"https://www.cbrc.kaust.edu.sa/des_tomato/about/about.php","name":"About DES-TOMATO","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001293","bsg-d001293"],"name":"FAIRsharing record for: DES-TOMATO","abbreviation":"DES-TOMATO","url":"https://fairsharing.org/10.25504/FAIRsharing.abbexa","doi":"10.25504/FAIRsharing.abbexa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DES-TOMATO is a topic-specific literature exploration system developed to allow the exploration of information related to tomato. The information provided in DES-TOMATO is obtained through the text-mining of available scientific literature, namely full-length articles in PubMed Central and titles and abstracts in PubMed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["Text mining","Natural language processing","Publication"],"taxonomies":["Solanum lycopersicum"],"user_defined_tags":["Knowledge Mining"],"countries":["Saudi Arabia"],"publications":[{"id":2526,"pubmed_id":28729549,"title":"DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species.","year":2017,"url":"http://doi.org/10.1038/s41598-017-05448-0","authors":"Salhi A,Negrao S,Essack M,Morton MJL,Bougouffa S,Razali R,Radovanovic A,Marchand B,Kulmanov M,Hoehndorf R,Tester M,Bajic VB","journal":"Sci Rep","doi":"10.1038/s41598-017-05448-0","created_at":"2021-09-30T08:27:09.900Z","updated_at":"2021-09-30T08:27:09.900Z"}],"licence_links":[{"licence_name":"KAUST Terms of Use","licence_id":475,"licence_url":"https://www.kaust.edu.sa/en/Pages/Terms-of-Use.aspx","link_id":711,"relation":"undefined"}],"grants":[{"id":3484,"fairsharing_record_id":2794,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:26:17.821Z","updated_at":"2021-09-30T09:26:17.821Z","grant_id":null,"is_lead":true,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2773","type":"fairsharing_records","attributes":{"created_at":"2019-06-04T20:53:44.000Z","updated_at":"2023-12-15T10:32:06.953Z","metadata":{"doi":"10.25504/FAIRsharing.WxI96O","name":"Signaling Pathways Project","status":"ready","contacts":[{"contact_name":"Neil McKenna","contact_email":"nmckenna@bcm.edu","contact_orcid":"0000-0001-6689-0104"}],"homepage":"http://www.signalingpathways.org/index.jsf","citations":[{"doi":"10.1038/s41597-019-0193-4","publication_id":2627}],"identifier":2773,"description":"The Signaling Pathways Project is an integrated 'omics knowledgebase based upon public, manually curated transcriptomic and cistromic (ChIP-Seq) datasets involving genetic and small molecule manipulations of cellular receptors, enzymes and transcription factors. Our goal is to create a resource where scientists can routinely generate research hypotheses or validate bench data relevant to cellular signaling pathways.","abbreviation":"SPP","data_curation":{"url":"http://www.signalingpathways.org/collaborations.jsf","type":"manual/automated","notes":"The Signaling Pathways Project has developed a unique ‘omics dataset biocuration pipeline, involving mapping of experimental perturbations to cellular signaling pathway nodes, creation of richly annotated secondary versions of the datasets, and incorporation into consensomes."},"support_links":[{"url":"http://www.signalingpathways.org/about/index.jsf","name":"About SPP","type":"Help documentation"},{"url":"https://twitter.com/sigpathproject","name":"@sigpathproject","type":"Twitter"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"http://www.signalingpathways.org/ominer/query.jsf","name":"Ominer 1.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013650","name":"re3data:r3d100013650","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018412","name":"SciCrunch:RRID:SCR_018412","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001272","bsg-d001272"],"name":"FAIRsharing record for: Signaling Pathways Project","abbreviation":"SPP","url":"https://fairsharing.org/10.25504/FAIRsharing.WxI96O","doi":"10.25504/FAIRsharing.WxI96O","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Signaling Pathways Project is an integrated 'omics knowledgebase based upon public, manually curated transcriptomic and cistromic (ChIP-Seq) datasets involving genetic and small molecule manipulations of cellular receptors, enzymes and transcription factors. Our goal is to create a resource where scientists can routinely generate research hypotheses or validate bench data relevant to cellular signaling pathways.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12840}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Transcriptomics","Omics"],"domains":["Expression data","Computational biological predictions","Differential gene expression analysis","Gene expression","Regulation of gene expression","Signaling","Transcription factor","Receptor","Enzyme","Chromatin immunoprecipitation - DNA sequencing","Pathway model"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2627,"pubmed_id":null,"title":"The Signaling Pathways Project, an integrated ‘omics knowledgebase for mammalian cellular signaling pathways","year":2019,"url":"http://doi.org/10.1038/s41597-019-0193-4","authors":"Scott A. Ochsner, David Abraham, Kirt Martin, et al.","journal":"Scientific Data","doi":"10.1038/s41597-019-0193-4","created_at":"2021-09-30T08:27:22.546Z","updated_at":"2021-09-30T08:27:22.546Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1395,"relation":"undefined"}],"grants":[{"id":3433,"fairsharing_record_id":2773,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:26:16.429Z","updated_at":"2021-09-30T09:26:16.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9152,"fairsharing_record_id":2773,"organisation_id":2015,"relation":"funds","created_at":"2022-04-11T12:07:17.933Z","updated_at":"2022-04-11T12:07:17.948Z","grant_id":432,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK097748","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9155,"fairsharing_record_id":2773,"organisation_id":2015,"relation":"funds","created_at":"2022-04-11T12:07:18.131Z","updated_at":"2022-04-11T12:07:18.145Z","grant_id":803,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK097771","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2772","type":"fairsharing_records","attributes":{"created_at":"2019-06-04T11:11:53.000Z","updated_at":"2023-12-07T10:55:29.444Z","metadata":{"doi":"10.25504/FAIRsharing.L9UwAM","name":"CLOSER Discovery","status":"ready","contacts":[{"contact_name":"CLOSER Support","contact_email":"closer@ucl.ac.uk"}],"homepage":"https://www.discovery.closer.ac.uk/","citations":[{"doi":"10.1093/ije/dyz004","pubmed_id":30789213,"publication_id":2426}],"identifier":2772,"description":"CLOSER Discovery enables researchers to search and browse questionnaires and data from eight leading UK longitudinal studies. Relevant survey questions and variables, which can be filtered by study, topic and life stage, are available. Accessing data from each study varies according to the source and data type.","abbreviation":"CLOSER Discovery","data_curation":{"url":"https://wiki.ucl.ac.uk/display/CLOS/Metadata+Pipeline","type":"manual/automated"},"support_links":[{"url":"https://www.discovery.closer.ac.uk/page/faqs/1","name":"CLOSER FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.discovery.closer.ac.uk/page/how-to-guides/6","name":"How-To Guide","type":"Help documentation"},{"url":"https://www.discovery.closer.ac.uk/page/about/4","name":"About CLOSER","type":"Help documentation"},{"url":"https://www.closer.ac.uk/how-to-access-the-data","name":"How to Access Data","type":"Help documentation"},{"url":"https://wiki.ucl.ac.uk/display/CLOS/What+is+the+CLOSER+Technical+Wiki","name":"Technical Wiki","type":"Help documentation"},{"url":"https://www.discovery.closer.ac.uk/page/data-security/3","name":"Data Security and Metadata Licensing","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100014274","name":"re3data:r3d100014274","portal":"re3data"}],"data_access_condition":{"url":"https://discovery.closer.ac.uk/page/data-security/3","type":"open","notes":"CLOSER is a metadata portal related to serveral studies. To access data for the studies see: https://www.discovery.closer.ac.uk/page/faqs/1#access-data"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.discovery.closer.ac.uk/page/content/8","type":"not applicable","notes":"Only contains metadata from the nine CLOSER longitudinal studies, with no additional deposition allowed."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001271","bsg-d001271"],"name":"FAIRsharing record for: CLOSER Discovery","abbreviation":"CLOSER Discovery","url":"https://fairsharing.org/10.25504/FAIRsharing.L9UwAM","doi":"10.25504/FAIRsharing.L9UwAM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CLOSER Discovery enables researchers to search and browse questionnaires and data from eight leading UK longitudinal studies. Relevant survey questions and variables, which can be filtered by study, topic and life stage, are available. Accessing data from each study varies according to the source and data type.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12839}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Social Science","Public Health","Social and Behavioural Science","Biomedical Science"],"domains":["Questionnaire"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2426,"pubmed_id":30789213,"title":"Data Resource Profile: Cohort and Longitudinal Studies Enhancement Resources (CLOSER)","year":2019,"url":"http://doi.org/10.1093/ije/dyz004","authors":"O'Neil, Dara","journal":"International journal of epidemiology","doi":"10.1093/ije/dyz004","created_at":"2021-09-30T08:26:57.719Z","updated_at":"2021-09-30T08:26:57.719Z"}],"licence_links":[{"licence_name":"Non-Commercial Government Licence for Public Sector Information","licence_id":597,"licence_url":"https://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/","link_id":1496,"relation":"undefined"}],"grants":[{"id":3430,"fairsharing_record_id":2772,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:26:16.352Z","updated_at":"2021-09-30T09:26:16.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3431,"fairsharing_record_id":2772,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:26:16.378Z","updated_at":"2021-09-30T09:26:16.378Z","grant_id":null,"is_lead":true,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3432,"fairsharing_record_id":2772,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:26:16.402Z","updated_at":"2021-09-30T09:30:55.503Z","grant_id":936,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","grant":"ES/K000357/1","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2835","type":"fairsharing_records","attributes":{"created_at":"2019-10-01T12:25:45.000Z","updated_at":"2023-05-05T10:44:16.524Z","metadata":{"doi":"10.25504/FAIRsharing.FwFGGF","name":"PhenoDis","status":"deprecated","contacts":[{"contact_name":"Dr. Andreas Ruepp","contact_email":"andreas.ruepp@helmholtz-muenchen.de"}],"homepage":"http://mips.helmholtz-muenchen.de/phenodis/","citations":[{"doi":"10.1186/s13023-018-0765-y","pubmed_id":29370821,"publication_id":2567}],"identifier":2835,"description":"PhenoDis is a manually annotated database providing symptomatic, genetic and imprinting information about rare cardiac diseases. PhenoDis is primarily concerned with the assignment of clinical symptoms to rare diseases using the biomedical literature as information source and the Human Phenotype Ontology (HPO) as vocabulary. \n","abbreviation":"PhenoDis","data_curation":{"type":"not found"},"support_links":[{"url":"http://mips.helmholtz-muenchen.de/pheno/help/showHelp","name":"Help","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001336","bsg-d001336"],"name":"FAIRsharing record for: PhenoDis","abbreviation":"PhenoDis","url":"https://fairsharing.org/10.25504/FAIRsharing.FwFGGF","doi":"10.25504/FAIRsharing.FwFGGF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhenoDis is a manually annotated database providing symptomatic, genetic and imprinting information about rare cardiac diseases. PhenoDis is primarily concerned with the assignment of clinical symptoms to rare diseases using the biomedical literature as information source and the Human Phenotype Ontology (HPO) as vocabulary. \n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cardiology","Genetics"],"domains":["Disease","Cardiovascular disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2567,"pubmed_id":29370821,"title":"PhenoDis: a comprehensive database for phenotypic characterization of rare cardiac diseases.","year":2018,"url":"http://doi.org/10.1186/s13023-018-0765-y","authors":"Adler A,Kirchmeier P,Reinhard J,Brauner B,Dunger I,Fobo G,Frishman G,Montrone C,Mewes HW,Arnold M,Ruepp A","journal":"Orphanet J Rare Dis","doi":"10.1186/s13023-018-0765-y","created_at":"2021-09-30T08:27:14.795Z","updated_at":"2021-09-30T08:27:14.795Z"}],"licence_links":[{"licence_name":"Helmholtz Zentrum Muenchen Imprint","licence_id":387,"licence_url":"https://www.helmholtz-muenchen.de/en/imprint/index.html","link_id":1272,"relation":"undefined"}],"grants":[{"id":3575,"fairsharing_record_id":2835,"organisation_id":1401,"relation":"maintains","created_at":"2021-09-30T09:26:20.355Z","updated_at":"2021-09-30T09:26:20.355Z","grant_id":null,"is_lead":true,"saved_state":{"id":1401,"name":"Institute of Bioinformatics and Systems Biology (IBIS), Helmholtz Zentrum Muenchen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2836","type":"fairsharing_records","attributes":{"created_at":"2019-10-01T12:52:51.000Z","updated_at":"2023-06-23T15:44:48.318Z","metadata":{"doi":"10.25504/FAIRsharing.xUkfh7","name":"Mitochondrial Disease Sequence Data Resource","status":"ready","contacts":[{"contact_name":"Marni J. Falk","contact_email":"falkm@email.chop.edu","contact_orcid":"0000-0002-1723-6728"}],"homepage":"https://mseqdr.org/","citations":[{"doi":"10.1002/humu.22974","pubmed_id":26919060,"publication_id":2575}],"identifier":2836,"description":"The Mitochondrial Disease Sequence Data Resource (MSeqDR) is a centralized genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. It integrates community knowledge from expert‐curated databases with genomic and phenotype data shared by clinicians and researchers.","abbreviation":"MSeqDR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://mseqdr.org/news.php","name":"News","type":"Blog/News"},{"url":"https://mseqdr.org/feedback.php","name":"Feedback Form","type":"Contact form"},{"url":"xgai@chla.usc.edu","name":"Xiaowu Gai","type":"Support email"},{"url":"lshen86@gmail.com","name":"Lishuang Shen, Bioinformatician","type":"Support email"},{"url":"https://mseqdr.org/documentation.php","name":"All Documentation","type":"Help documentation"},{"url":"https://mseqdr.org/tutorial.php","name":"Tutorials","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"https://mseqdr.org/mitobox.php","name":"Mitochondrial Toolbox List"},{"url":"https://mseqdr.org/mvtool.php","name":"mvTool - Universal mtDNA Variant Converter and One Stop Annotation 3.0"},{"url":"https://mseqdr.org/mv4phylotree.php","name":"mvTool for PhyloTree and Haplogroup, Universal mtDNA Variant Converter and One Stop Annotation 1.0"},{"url":"https://mseqdr.org/leigh.php","name":"Leigh and Leigh-Like Syndrome (LS/LLS) Resources at MSeqDR.org 1.0"},{"url":"https://mseqdr.org/quickmitome.php","name":"MSeqDR Quick-Mitome - A Phenotype-Guided WES/WGS Variant Interpretation Server for Mitochondrial Diseases 2.0"},{"url":"https://mseqdr.org/MITO/index.php","name":"MSeqDR-LDSB: Expert-curated database of 280 mitochondrial diseases and 15,000 pathogenicity-assessed variants 5.0"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://mseqdr.org/submission.php","type":"open","notes":"Free registration is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001337","bsg-d001337"],"name":"FAIRsharing record for: Mitochondrial Disease Sequence Data Resource","abbreviation":"MSeqDR","url":"https://fairsharing.org/10.25504/FAIRsharing.xUkfh7","doi":"10.25504/FAIRsharing.xUkfh7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mitochondrial Disease Sequence Data Resource (MSeqDR) is a centralized genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. It integrates community knowledge from expert‐curated databases with genomic and phenotype data shared by clinicians and researchers.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12855}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genomics","Phenomics","Biomedical Science"],"domains":["Mitochondrion","Disease","Diagnosis","Sequence","Mitochondrial sequence","Sequence variant","Mitochondrial disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy","Netherlands","United Kingdom","United States"],"publications":[{"id":2575,"pubmed_id":26919060,"title":"MSeqDR: A Centralized Knowledge Repository and Bioinformatics Web Resource to Facilitate Genomic Investigations in Mitochondrial Disease.","year":2016,"url":"http://doi.org/10.1002/humu.22974","authors":"Shen L, Diroma MA, Gonzalez M, Navarro-Gomez D, Leipzig J, Lott MT, van Oven M, Wallace DC, Muraresku CC, Zolkipli-Cunningham Z, Chinnery PF, Attimonelli M, Zuchner S, Falk MJ, Gai X","journal":"Hum Mutationm","doi":"10.1002/humu.22974","created_at":"2021-09-30T08:27:15.845Z","updated_at":"2021-09-30T08:27:15.845Z"},{"id":2736,"pubmed_id":29539190,"title":"MSeqDR mvTool: A mitochondrial DNA Web and API resource for comprehensive variant annotation, universal nomenclature collation, and reference genome conversion","year":2018,"url":"http://doi.org/10.1002/humu.23422","authors":"Lishuang Shen, Marcella Attimonelli, Bai Renkui, Marie T Lott, Douglas C Wallace, Marni J Falk, Xiaowu Gai.","journal":"Human Mutation","doi":"doi:10.1002/humu.23422","created_at":"2021-09-30T08:27:35.950Z","updated_at":"2021-09-30T08:27:35.950Z"},{"id":2737,"pubmed_id":25542617,"title":"Mitochondrial Disease Sequence Data Resource (MSeqDR): a global grass-roots consortium to facilitate deposition, curation, annotation, and integrated analysis of genomic data for the mitochondrial disease clinical and research communities.","year":2014,"url":"http://doi.org/10.1016/j.ymgme.2014.11.016","authors":"Falk MJ, Shen L, Gonzalez M, Leipzig J, Lott MT, Stassen AP, Diroma MA, Navarro-Gomez D, Yeske P, Bai R, Boles RG, Brilhante V, Ralph D, DaRe JT, Shelton R, Terry SF, Zhang Z, Copeland WC, van Oven M, Prokisch H, Wallace DC, Attimonelli M, Krotoski D, Zuchner S, Gai X; MSeqDR Consortium Participants; MSeqDR Consortium participants: Sherri Bale, Jirair Bedoyan, Doron Behar, Penelope Bonnen, Lisa Brooks, Claudia Calabrese, Sarah Calvo, Patrick Chinnery, John Christodoulou, Deanna Church,; Rosanna Clima, Bruce H. Cohen, Richard G. Cotton, IFM de Coo, Olga Derbenevoa, Johan T. den Dunnen, David Dimmock, Gregory Enns, Giuseppe Gasparre,; Amy Goldstein, Iris Gonzalez, Katrina Gwinn, Sihoun Hahn, Richard H. Haas, Hakon Hakonarson, Michio Hirano, Douglas Kerr, Dong Li, Maria Lvova, Finley Macrae, Donna Maglott, Elizabeth McCormick, Grant Mitchell, Vamsi K. Mootha, Yasushi Okazaki,; Aurora Pujol, Melissa Parisi, Juan Carlos Perin, Eric A. Pierce, Vincent Procaccio, Shamima Rahman, Honey Reddi, Heidi Rehm, Erin Riggs, Richard Rodenburg, Yaffa Rubinstein, Russell Saneto, Mariangela Santorsola, Curt Scharfe,; Claire Sheldon, Eric A. Shoubridge, Domenico Simone, Bert Smeets, Jan A. Smeitink, Christine Stanley, Anu Suomalainen, Mark Tarnopolsky, Isabelle Thiffault, David R. Thorburn, Johan Van Hove, Lynne Wolfe, and Lee-Jun Wong","journal":"Mol Genet Metab","doi":"10.1016/j.ymgme.2014.11.016","created_at":"2021-09-30T08:27:36.181Z","updated_at":"2021-09-30T08:27:36.181Z"}],"licence_links":[],"grants":[{"id":3576,"fairsharing_record_id":2836,"organisation_id":2127,"relation":"maintains","created_at":"2021-09-30T09:26:20.371Z","updated_at":"2021-09-30T09:26:20.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":2127,"name":"Netherlands Genomic Initiative","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3578,"fairsharing_record_id":2836,"organisation_id":2922,"relation":"funds","created_at":"2021-09-30T09:26:20.405Z","updated_at":"2021-09-30T09:26:20.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":2922,"name":"United Mitochondrial Disease Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3577,"fairsharing_record_id":2836,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:26:20.388Z","updated_at":"2021-09-30T09:26:20.388Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3579,"fairsharing_record_id":2836,"organisation_id":505,"relation":"maintains","created_at":"2021-09-30T09:26:20.421Z","updated_at":"2021-09-30T09:26:20.421Z","grant_id":null,"is_lead":true,"saved_state":{"id":505,"name":"Children's Hospital Los Angeles, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3580,"fairsharing_record_id":2836,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:20.438Z","updated_at":"2021-09-30T09:29:09.011Z","grant_id":114,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U24 HD093483‐01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8235,"fairsharing_record_id":2836,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:40.148Z","updated_at":"2021-09-30T09:31:40.195Z","grant_id":1275,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54‐NS078059","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8295,"fairsharing_record_id":2836,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:57.400Z","updated_at":"2021-09-30T09:31:57.451Z","grant_id":1404,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U41‐HG006834","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2837","type":"fairsharing_records","attributes":{"created_at":"2019-10-21T22:16:57.000Z","updated_at":"2023-10-04T08:23:53.434Z","metadata":{"doi":"10.25504/FAIRsharing.etXuEk","name":"MiST 4.0: Microbial Signal Transduction database","status":"ready","contacts":[{"contact_name":"Vadim Gumerov","contact_email":"netuns@gmail.com","contact_orcid":"0000-0003-1670-7679"}],"homepage":"https://mistdb.com/","citations":[{"doi":"10.1093/nar/gkad847","pubmed_id":null,"publication_id":4002}],"identifier":2837,"description":"Signal transduction systems in bacteria and archaea link environmental stimuli to specific adaptive cellular responses. They control gene expression, motility, biofilm formation, development and other processes that are vital to survival. The microbial signal transduction (MiST) database is\nan online resource that stores tens of thousands of genomes and allows users to explore their signal transduction profiles, analyze genomes in\nbulk using the database application programming interface (API) and make testable hypotheses about the functions of newly identified signaling\nsystems. However, signal transduction in metagenomes remained completely unexplored. To lay the foundation for research in metagenomic\nsignal transduction, we have prepared a new release of the MiST database, MiST 4.0, which features over 10 000 metagenome-assembled\ngenomes (MAGs), a scaled representation of proteins and detailed BioSample information. In addition, several thousands of new genomes have\nbeen processed and stored in the database. A new interface has been developed that allows users to seamlessly switch between genomes and\nMAGs. MiST 4.0 is freely available at https://mistdb.com; metagenomes and MAGs can also be explored using the API available on the same\npage","abbreviation":"MiST","data_curation":{"url":"https://doi.org/10.1093/nar/gkad847","type":"automated"},"support_links":[{"url":"gumerov.1@osu.edu","name":"Contact","type":"Support email"},{"url":"https://twitter.com/mist3db","name":"@mist3db","type":"Twitter"},{"url":"https://mistdb.com/mist/help","name":"Help","type":"Help documentation"}],"year_creation":2023,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001338","bsg-d001338"],"name":"FAIRsharing record for: MiST 4.0: Microbial Signal Transduction database","abbreviation":"MiST","url":"https://fairsharing.org/10.25504/FAIRsharing.etXuEk","doi":"10.25504/FAIRsharing.etXuEk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Signal transduction systems in bacteria and archaea link environmental stimuli to specific adaptive cellular responses. They control gene expression, motility, biofilm formation, development and other processes that are vital to survival. The microbial signal transduction (MiST) database is\nan online resource that stores tens of thousands of genomes and allows users to explore their signal transduction profiles, analyze genomes in\nbulk using the database application programming interface (API) and make testable hypotheses about the functions of newly identified signaling\nsystems. However, signal transduction in metagenomes remained completely unexplored. To lay the foundation for research in metagenomic\nsignal transduction, we have prepared a new release of the MiST database, MiST 4.0, which features over 10 000 metagenome-assembled\ngenomes (MAGs), a scaled representation of proteins and detailed BioSample information. In addition, several thousands of new genomes have\nbeen processed and stored in the database. A new interface has been developed that allows users to seamlessly switch between genomes and\nMAGs. MiST 4.0 is freely available at https://mistdb.com; metagenomes and MAGs can also be explored using the API available on the same\npage","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12856}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Bioinformatics","Computational Biology"],"domains":["Protein domain","Signaling","Receptor","Metagenome","Genome"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["Chemotaxis","One-component systems","Protein domains","Signal Transduction","Two-component systems"],"countries":["United States"],"publications":[{"id":2632,"pubmed_id":null,"title":"MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems","year":2019,"url":"http://doi.org/10.1093/nar/gkz988","authors":"Vadim M Gumerov, Davi R Ortega, Ogun Adebali, Luke E Ulrich, Igor B Zhulin","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz988","created_at":"2021-09-30T08:27:23.122Z","updated_at":"2021-09-30T08:27:23.122Z"},{"id":4002,"pubmed_id":null,"title":"MiST 4.0: a new release of the microbial signal transduction database, now with a metagenomic component","year":2023,"url":"https://doi.org/10.1093/nar/gkad847","authors":"Vadim M. Gumerov, Luke E. Ulrich, Igor B. Zhulin","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkad847","created_at":"2023-10-02T17:17:00.236Z","updated_at":"2023-10-02T17:17:00.236Z"}],"licence_links":[],"grants":[{"id":3581,"fairsharing_record_id":2837,"organisation_id":2236,"relation":"maintains","created_at":"2021-09-30T09:26:20.454Z","updated_at":"2021-09-30T09:26:20.454Z","grant_id":null,"is_lead":true,"saved_state":{"id":2236,"name":"Ohio State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3582,"fairsharing_record_id":2837,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:20.471Z","updated_at":"2021-09-30T09:31:06.634Z","grant_id":1021,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R01DE024463","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8384,"fairsharing_record_id":2837,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:23.425Z","updated_at":"2021-09-30T09:32:23.480Z","grant_id":1598,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R35GM131760","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ0VEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--28ebdd3cb6ab887082a92fb8ddd37f04109468cb/MiST4_logo.PNG?disposition=inline","exhaustive_licences":false}},{"id":"2838","type":"fairsharing_records","attributes":{"created_at":"2019-10-22T12:14:08.000Z","updated_at":"2023-12-15T10:30:34.476Z","metadata":{"doi":"10.25504/FAIRsharing.5a0922","name":"YeastCyc","status":"ready","contacts":[{"contact_name":"BioCyc Support","contact_email":"biocyc-support@ai.sri.com"}],"homepage":"https://yeast.biocyc.org/","identifier":2838,"description":"YeastCyc is a Pathway/Genome Database of the model eukaryote Saccharomyces cerevisiae S288c. In addition to genomic information, the database contains metabolic pathway, reaction, enzyme, and compound information, which has been manually curated from the scientific literature.","abbreviation":"YeastCyc","data_curation":{"url":"https://biocyc.org/credits.shtml?sid=biocyc18-3897989217","type":"manual","notes":"Curation team"},"support_links":[{"url":"https://yeast.biocyc.org/PToolsWebsiteHowto.shtml#SearchHelp","name":"Search Help","type":"Help documentation"},{"url":"https://yeast.biocyc.org/PToolsWebsiteHowto.shtml","name":"User Guide","type":"Help documentation"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"https://yeast.biocyc.org/YEAST/blast.html","name":"BLAST"},{"url":"https://yeast.biocyc.org/YEAST/select-gen-el","name":"Genome Browser"},{"url":"https://yeast.biocyc.org/dashboard/dashboard-intro.shtml","name":"Omics Dashboard"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001339","bsg-d001339"],"name":"FAIRsharing record for: YeastCyc","abbreviation":"YeastCyc","url":"https://fairsharing.org/10.25504/FAIRsharing.5a0922","doi":"10.25504/FAIRsharing.5a0922","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: YeastCyc is a Pathway/Genome Database of the model eukaryote Saccharomyces cerevisiae S288c. In addition to genomic information, the database contains metabolic pathway, reaction, enzyme, and compound information, which has been manually curated from the scientific literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Systems Biology"],"domains":["Reaction data","Model organism","Enzyme","Pathway model","Genome","Literature curation"],"taxonomies":["Saccharomyces cerevisiae S288c"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"BioCyc Subscription requirements","licence_id":79,"licence_url":"http://www.phoenixbioinformatics.org/biocyc#product-biocyc-subscription","link_id":1389,"relation":"undefined"}],"grants":[{"id":3583,"fairsharing_record_id":2838,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:20.488Z","updated_at":"2021-09-30T09:26:20.488Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3584,"fairsharing_record_id":2838,"organisation_id":248,"relation":"maintains","created_at":"2021-09-30T09:26:20.505Z","updated_at":"2021-09-30T09:26:20.505Z","grant_id":null,"is_lead":true,"saved_state":{"id":248,"name":"Bioinformatics Research Group, SRI International, Menlo Park, California, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2839","type":"fairsharing_records","attributes":{"created_at":"2019-10-23T07:48:56.000Z","updated_at":"2023-05-05T10:55:16.539Z","metadata":{"doi":"10.25504/FAIRsharing.ohbpNw","name":" Comprehensive Resource of Mammalian protein complexes","status":"deprecated","contacts":[{"contact_name":"Andreas Ruepp","contact_email":"andreas.ruepp@helmholtz-muenchen.de","contact_orcid":"0000-0003-1705-3515"}],"homepage":"https://mips.helmholtz-muenchen.de/corum/","citations":[{"doi":"10.1093/nar/gky973","pubmed_id":30357367,"publication_id":2586}],"identifier":2839,"description":"CORUM is a database that provides a manually curated repository of experimentally characterized protein complexes from mammalian organisms, mainly human (64%), mouse (16%) and rat (12%). Each protein complex is described by a protein complex name, subunit composition, function as well as the literature reference that characterizes the respective protein complex.\n","abbreviation":"CORUM","data_curation":{"type":"not found"},"support_links":[{"url":"http://mips.helmholtz-muenchen.de/corum/#about","name":"About CORUM","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011272","name":"re3data:r3d100011272","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002254","name":"SciCrunch:RRID:SCR_002254","portal":"SciCrunch"}],"deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001340","bsg-d001340"],"name":"FAIRsharing record for: Comprehensive Resource of Mammalian protein complexes","abbreviation":"CORUM","url":"https://fairsharing.org/10.25504/FAIRsharing.ohbpNw","doi":"10.25504/FAIRsharing.ohbpNw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CORUM is a database that provides a manually curated repository of experimentally characterized protein complexes from mammalian organisms, mainly human (64%), mouse (16%) and rat (12%). Each protein complex is described by a protein complex name, subunit composition, function as well as the literature reference that characterizes the respective protein complex.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["Functional domain","Molecular function","Protein-containing complex"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2586,"pubmed_id":30357367,"title":"CORUM: the comprehensive resource of mammalian protein complexes-2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky973","authors":"Giurgiu M, Reinhard J, Brauner B, Dunger-Kaltenbach I, Fobo G, Frishman G, Montrone C, Ruepp A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky973","created_at":"2021-09-30T08:27:17.161Z","updated_at":"2021-09-30T08:27:17.161Z"}],"licence_links":[],"grants":[{"id":3585,"fairsharing_record_id":2839,"organisation_id":1237,"relation":"maintains","created_at":"2021-09-30T09:26:20.521Z","updated_at":"2021-09-30T09:26:20.521Z","grant_id":null,"is_lead":true,"saved_state":{"id":1237,"name":"Helmholtz Zentrum Munchen","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2840","type":"fairsharing_records","attributes":{"created_at":"2019-10-24T10:14:25.000Z","updated_at":"2023-12-15T10:32:31.392Z","metadata":{"doi":"10.25504/FAIRsharing.YmkBZX","name":"Pathogen-Host Interaction Data integration and Analysis System","status":"ready","contacts":[{"contact_name":"Yongqun \"Oliver\" He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.phidias.us/index.php","citations":[{"doi":"10.1186/gb-2007-8-7-r150","pubmed_id":17663773,"publication_id":372}],"identifier":2840,"description":"PHIDIAS is a web-based database and analysis system that aims to manually curate, computationally analyze, and address different scientific issues in the areas of pathogen-host interactions (PHI, or called host-pathogen interactions or HPI). PHIDIAS has emphasized the study of those pathogens that cause various infectious diseases in humans and animals. The recently published Victors analysis program is a relatively independent system within the PHIDIAS database and analysis resource.","abbreviation":"PHIDIAS","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.phidias.us/faqs.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.phidias.us/docs/docs.php","name":"Documentation","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://www.phidias.us/pacodom/index.php","name":"Pacodom"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://phidias.us/datasubmission/index.php","type":"open","notes":"Free login is required for data submission."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001341","bsg-d001341"],"name":"FAIRsharing record for: Pathogen-Host Interaction Data integration and Analysis System","abbreviation":"PHIDIAS","url":"https://fairsharing.org/10.25504/FAIRsharing.YmkBZX","doi":"10.25504/FAIRsharing.YmkBZX","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PHIDIAS is a web-based database and analysis system that aims to manually curate, computationally analyze, and address different scientific issues in the areas of pathogen-host interactions (PHI, or called host-pathogen interactions or HPI). PHIDIAS has emphasized the study of those pathogens that cause various infectious diseases in humans and animals. The recently published Victors analysis program is a relatively independent system within the PHIDIAS database and analysis resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Life Science","Biomedical Science"],"domains":["Pathogen","Host","Curated information","Infection"],"taxonomies":["Bacteria","Brucella"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":372,"pubmed_id":17663773,"title":"PHIDIAS: a pathogen-host interaction data integration and analysis system.","year":2007,"url":"http://doi.org/10.1186/gb-2007-8-7-r150","authors":"Xiang Z,Tian Y,He Y","journal":"Genome Biol","doi":"10.1186/gb-2007-8-7-r150","created_at":"2021-09-30T08:22:59.999Z","updated_at":"2021-09-30T08:22:59.999Z"}],"licence_links":[{"licence_name":"PHIDIAS Disclaimer","licence_id":663,"licence_url":"http://www.phidias.us/disclaimer.php","link_id":1797,"relation":"undefined"}],"grants":[{"id":3586,"fairsharing_record_id":2840,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:26:20.538Z","updated_at":"2021-09-30T09:26:20.538Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3587,"fairsharing_record_id":2840,"organisation_id":3095,"relation":"funds","created_at":"2021-09-30T09:26:20.555Z","updated_at":"2021-09-30T09:26:20.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3588,"fairsharing_record_id":2840,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:20.571Z","updated_at":"2021-09-30T09:26:20.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2841","type":"fairsharing_records","attributes":{"created_at":"2019-10-24T12:03:26.000Z","updated_at":"2023-12-15T10:32:00.722Z","metadata":{"doi":"10.25504/FAIRsharing.c55071","name":"RIKEN Arabidopsis Genome Encyclopedia II","status":"ready","contacts":[{"contact_name":"RARGE Developers","contact_email":"rarge-master@psc.riken.jp"}],"homepage":"http://rarge-v2.psc.riken.jp/","citations":[{"doi":"10.1093/pcp/pct165","pubmed_id":24272250,"publication_id":2587}],"identifier":2841,"description":"RARGE II provides basic information about the Arabidopsis genome, such as information related to cDNA sequences and transposon insertion mutants. To create it, publicly available information for a total of 66,209 Arabidopsis mutant lines was used, including loss-of-function (RATM and TARAPPER) and gain-of-function (AtFOX and OsFOX) lines, as well as phenotype data gained through the mapping of descriptions onto Plant Ontology (PO) and Phenotypic Quality Ontology (PATO) terms.","abbreviation":"RARGE II","data_curation":{"type":"not found"},"support_links":[{"url":"tetsuya.sakurai@riken.jp","name":"Tetsuya Sakurai","type":"Support email"},{"url":"http://rarge-v2.psc.riken.jp/about","name":"About RARGE","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001342","bsg-d001342"],"name":"FAIRsharing record for: RIKEN Arabidopsis Genome Encyclopedia II","abbreviation":"RARGE II","url":"https://fairsharing.org/10.25504/FAIRsharing.c55071","doi":"10.25504/FAIRsharing.c55071","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RARGE II provides basic information about the Arabidopsis genome, such as information related to cDNA sequences and transposon insertion mutants. To create it, publicly available information for a total of 66,209 Arabidopsis mutant lines was used, including loss-of-function (RATM and TARAPPER) and gain-of-function (AtFOX and OsFOX) lines, as well as phenotype data gained through the mapping of descriptions onto Plant Ontology (PO) and Phenotypic Quality Ontology (PATO) terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Functional Genomics","Genomics","Life Science","Plant Genetics"],"domains":["Genome annotation","Mutation","Transposable element","Complementary DNA","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2587,"pubmed_id":24272250,"title":"RARGE II: an integrated phenotype database of Arabidopsis mutant traits using a controlled vocabulary.","year":2013,"url":"http://doi.org/10.1093/pcp/pct165","authors":"Akiyama K,Kurotani A,Iida K,Kuromori T,Shinozaki K,Sakurai T","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pct165","created_at":"2021-09-30T08:27:17.321Z","updated_at":"2021-09-30T08:27:17.321Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":1798,"relation":"undefined"},{"licence_name":"RARGE Disclaimer","licence_id":697,"licence_url":"http://rarge-v2.psc.riken.jp/disclaimer","link_id":1799,"relation":"undefined"}],"grants":[{"id":3590,"fairsharing_record_id":2841,"organisation_id":2446,"relation":"maintains","created_at":"2021-09-30T09:26:20.605Z","updated_at":"2021-09-30T09:26:20.605Z","grant_id":null,"is_lead":true,"saved_state":{"id":2446,"name":"RIKEN Center for Sustainable Resource Science, Yokohama, Japan","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3589,"fairsharing_record_id":2841,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:26:20.588Z","updated_at":"2021-09-30T09:29:49.341Z","grant_id":420,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"18700106","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2831","type":"fairsharing_records","attributes":{"created_at":"2019-09-24T18:19:15.000Z","updated_at":"2023-12-15T10:31:25.001Z","metadata":{"doi":"10.25504/FAIRsharing.3xwMon","name":"PathBank","status":"ready","contacts":[{"contact_name":"PathBank Team","contact_email":"pathbank@wishartlab.com"}],"homepage":"http://pathbank.org/","identifier":2831,"description":"PathBank is an interactive, visual database containing more than 100 000 machine-readable pathways found in model organisms such as humans, mice, E. coli, yeast, and Arabidopsis thaliana. The majority of these pathways are not found in any other pathway database. PathBank is designed specifically to support pathway elucidation and pathway discovery in metabolomics, transcriptomics, proteomics, and systems biology. All PathBank pathways include information on the relevant organelles, subcellular compartments, protein complex cofactors, protein complex locations, metabolite locations, chemical structures, and protein complex quaternary structures. The database is easily browsed and supports full text, sequence, and chemical structure searching.","abbreviation":"PathBank","data_curation":{"type":"not found"},"support_links":[{"url":"http://pathbank.org/pathwhiz/style_guide","name":"Pathway Style Guide","type":"Help documentation"},{"url":"http://pathbank.org/legend","name":"Pathway Legend","type":"Help documentation"},{"url":"http://pathbank.org/stats","name":"Statistics","type":"Help documentation"},{"url":"http://pathbank.org/about","name":"About PathBank","type":"Help documentation"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001331","bsg-d001331"],"name":"FAIRsharing record for: PathBank","abbreviation":"PathBank","url":"https://fairsharing.org/10.25504/FAIRsharing.3xwMon","doi":"10.25504/FAIRsharing.3xwMon","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PathBank is an interactive, visual database containing more than 100 000 machine-readable pathways found in model organisms such as humans, mice, E. coli, yeast, and Arabidopsis thaliana. The majority of these pathways are not found in any other pathway database. PathBank is designed specifically to support pathway elucidation and pathway discovery in metabolomics, transcriptomics, proteomics, and systems biology. All PathBank pathways include information on the relevant organelles, subcellular compartments, protein complex cofactors, protein complex locations, metabolite locations, chemical structures, and protein complex quaternary structures. The database is easily browsed and supports full text, sequence, and chemical structure searching.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12853}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Endocrinology","Molecular biology","Animal Genetics","Cheminformatics","Bioinformatics","Genetics","Proteomics","Drug Metabolism","Human Genetics","Molecular Microbiology","Metabolomics","Transcriptomics","Cell Biology","Database Management","Microbiology","Biology","Systems Biology","Medical Informatics","Plant Genetics"],"domains":["Protein name","Protein structure","Gene name","Drug name","Reaction data","Protein interaction","Drug","Metabolite","Catalytic activity","Glucose metabolic process","Regulation of gene expression","Drug metabolic process","Signaling","Enzymatic reaction","Receptor","High-throughput screening","Drug interaction","Enzyme","Disease","Protein","Pathway model","Gene","Amino acid sequence","Genetic disorder"],"taxonomies":["Arabidopsis thaliana","Bos taurus","Caenorhabditis elegans","Drosophila melanogaster","Escherichia coli","Homo sapiens","Mus musculus","Pseudomonas aeruginosa","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":["Drug Target","Pathway Diagram"],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":1228,"relation":"undefined"}],"grants":[{"id":3562,"fairsharing_record_id":2831,"organisation_id":3011,"relation":"maintains","created_at":"2021-09-30T09:26:20.046Z","updated_at":"2021-09-30T09:26:20.046Z","grant_id":null,"is_lead":true,"saved_state":{"id":3011,"name":"University of Alberta, Canada","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2832","type":"fairsharing_records","attributes":{"created_at":"2019-10-18T08:06:40.000Z","updated_at":"2024-04-09T10:38:08.111Z","metadata":{"doi":"10.25504/FAIRsharing.0Hsbor","name":"A database for spatially resolved transcriptomes","status":"ready","contacts":[{"contact_name":"CHEN, Xiaowei","contact_email":"chenxiaowei@ibp.ac.cn"}],"homepage":"http://www.spatialomics.org/SpatialDB/","citations":[],"identifier":2832,"description":"Spatially resolved transcriptomics providing gene expression profiles with positional information is key to tissue function and fundamental to disease pathology. SpatialDB is the first public database that specifically curates spatially resolved transcriptomic data from published papers, aiming to provide a comprehensive and accurate resource of spatial gene expression profiles in tissues. Currently, SpatialDB contains detailed information of 24 datasets generated by 8 spatially resolved transcriptomic techniques. SpatialDB allows users to browse the spatial gene expression profile of all the 8 techniques online and compare the spatial gene expression profile of any two datasets generated by the same or different techniques side by side. It provides spatially variable (SV) genes identified by SpatialDE and trendsceek, as well as functional enrichment annotation of SV genes.","abbreviation":"SpatialDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.spatialomics.org/SpatialDB/help.php","name":"Help Pages","type":"Help documentation"},{"url":"http://www.spatialomics.org/SpatialDB/about.php","name":"About","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.spatialomics.org/SpatialDB/upload.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001333","bsg-d001333"],"name":"FAIRsharing record for: A database for spatially resolved transcriptomes","abbreviation":"SpatialDB","url":"https://fairsharing.org/10.25504/FAIRsharing.0Hsbor","doi":"10.25504/FAIRsharing.0Hsbor","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Spatially resolved transcriptomics providing gene expression profiles with positional information is key to tissue function and fundamental to disease pathology. SpatialDB is the first public database that specifically curates spatially resolved transcriptomic data from published papers, aiming to provide a comprehensive and accurate resource of spatial gene expression profiles in tissues. Currently, SpatialDB contains detailed information of 24 datasets generated by 8 spatially resolved transcriptomic techniques. SpatialDB allows users to browse the spatial gene expression profile of all the 8 techniques online and compare the spatial gene expression profile of any two datasets generated by the same or different techniques side by side. It provides spatially variable (SV) genes identified by SpatialDE and trendsceek, as well as functional enrichment annotation of SV genes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12854}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Transcriptomics"],"domains":["Expression data","Gene functional annotation","Tissue"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":3564,"fairsharing_record_id":2832,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:26:20.097Z","updated_at":"2021-09-30T09:30:20.988Z","grant_id":669,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31871307","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8197,"fairsharing_record_id":2832,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:27.814Z","updated_at":"2021-09-30T09:31:27.870Z","grant_id":1180,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31801072","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8296,"fairsharing_record_id":2832,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:57.615Z","updated_at":"2021-09-30T09:31:57.668Z","grant_id":1406,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31701122","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3563,"fairsharing_record_id":2832,"organisation_id":244,"relation":"maintains","created_at":"2021-09-30T09:26:20.073Z","updated_at":"2021-09-30T09:26:20.073Z","grant_id":null,"is_lead":true,"saved_state":{"id":244,"name":"Bioinformatics Laboratory, Institute of Biophysics, Chinese Academy of Sciences (CAS), Beijing, China","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2833","type":"fairsharing_records","attributes":{"created_at":"2019-09-25T19:55:03.000Z","updated_at":"2024-03-21T13:58:55.098Z","metadata":{"doi":"10.25504/FAIRsharing.PD1PEt","name":"Blackfynn Discover","status":"deprecated","contacts":[{"contact_name":"joost Wagenaar","contact_email":"joost@blackfynn.com","contact_orcid":"0000-0003-0837-7120"}],"homepage":"https://discover.blackfynn.com","citations":[],"identifier":2833,"description":"Blackfynn Discover is a public resource for accessing large public Neuroscience datasets. Blackfynn Discover was developed through grants from the NIH NIDA, NIH CommonFund, DARPA, and others to provide a sustainable solution for fostering collaboration in the Neurosciences.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://www.blackfynn.com/contact/","name":"Blackfynn Contact Form","type":"Contact form"},{"url":"https://help.blackfynn.com","name":"Blackfynn Help Center","type":"Help documentation"},{"url":"https://www.blackfynn.com/about/","name":"About Blackfynn","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://developer.blackfynn.io/python/latest/index.html","name":"Python Client"},{"url":"https://developer.blackfynn.io/matlab/index.html","name":"MATLAB Client"},{"url":"https://developer.blackfynn.io/agent/index.html","name":"Command Line Interface"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013148","name":"re3data:r3d100013148","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018068","name":"SciCrunch:RRID:SCR_018068","portal":"SciCrunch"}],"deprecation_date":"2022-07-14","deprecation_reason":"The resource homepage is no longer available, and no suitable replacement can be found. Please get in touch with us if you have more information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001334","bsg-d001334"],"name":"FAIRsharing record for: Blackfynn Discover","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.PD1PEt","doi":"10.25504/FAIRsharing.PD1PEt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Blackfynn Discover is a public resource for accessing large public Neuroscience datasets. Blackfynn Discover was developed through grants from the NIH NIDA, NIH CommonFund, DARPA, and others to provide a sustainable solution for fostering collaboration in the Neurosciences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neuroscience"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1040,"pubmed_id":26044858,"title":"Data integration: Combined imaging and electrophysiology data in the cloud.","year":2015,"url":"http://doi.org/S1053-8119(15)00465-6","authors":"Kini LG,Davis KA,Wagenaar JB","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2015.05.075","created_at":"2021-09-30T08:24:15.147Z","updated_at":"2021-09-30T08:24:15.147Z"},{"id":2547,"pubmed_id":26035676,"title":"Collaborating and sharing data in epilepsy research.","year":2015,"url":"http://doi.org/10.1097/WNP.0000000000000159","authors":"Wagenaar JB,Worrell GA,Ives Z,Dumpelmann M,Litt B,Schulze-Bonhage A","journal":"J Clin Neurophysiol","doi":"10.1097/WNP.0000000000000159","created_at":"2021-09-30T08:27:12.309Z","updated_at":"2021-09-30T08:27:12.309Z"}],"licence_links":[{"licence_name":"Blackfynn Terms of Use","licence_id":83,"licence_url":"https://www.blackfynn.com/legal/terms/","link_id":827,"relation":"undefined"},{"licence_name":"Community Data License Agreement - Permissive, Version 1.0 (CDLA-Permissive-1.0)","licence_id":143,"licence_url":"https://cdla.io/permissive-1-0/","link_id":708,"relation":"undefined"},{"licence_name":"Community Data License Agreement - Sharing, Version 1.0 (CDLA-Sharing-1.0)","licence_id":144,"licence_url":"https://cdla.io/sharing-1-0/","link_id":725,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":749,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":760,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":742,"relation":"undefined"},{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":731,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":740,"relation":"undefined"},{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":727,"relation":"undefined"}],"grants":[{"id":3565,"fairsharing_record_id":2833,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:20.122Z","updated_at":"2021-09-30T09:26:20.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3566,"fairsharing_record_id":2833,"organisation_id":286,"relation":"maintains","created_at":"2021-09-30T09:26:20.147Z","updated_at":"2021-09-30T09:26:20.147Z","grant_id":null,"is_lead":true,"saved_state":{"id":286,"name":"Blackfynn Inc.","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3567,"fairsharing_record_id":2833,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:26:20.173Z","updated_at":"2021-09-30T09:32:16.062Z","grant_id":1541,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"NIH 5R44DA044929-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11557,"fairsharing_record_id":2833,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:54.583Z","updated_at":"2024-03-21T13:58:55.036Z","grant_id":1115,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"NIH 3OT3OD025347-01S2","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2812","type":"fairsharing_records","attributes":{"created_at":"2019-07-31T21:51:58.000Z","updated_at":"2023-12-15T10:31:52.833Z","metadata":{"doi":"10.25504/FAIRsharing.278768","name":"coastMap","status":"ready","contacts":[{"contact_name":"Kay-Christian Emeis","contact_email":"kay.emeis@hzg.de","contact_orcid":"0000-0003-0459-913X"}],"homepage":"https://www.hereon.de/institutes/carbon_cycles/data_coastal_research/coastmap/index.php.en","citations":[],"identifier":2812,"description":"coastMap is a collection of data based on the observations of the seafloor and water conditions and atmosphere of mainly the North Sea. This information can be used for analysis and modelling by researchers.","abbreviation":"coastMap","data_curation":{"type":"not found"},"support_links":[{"url":"marcus.lange@hzg.de","name":"Marcus Lange (Scientific Coordination, Website)","type":"Support email"},{"url":"https://www.hereon.de/institutes/carbon_cycles/data_coastal_research/coastmap/data/tutorials/index.php.en","name":"Tutorials","type":"Help documentation"}],"data_versioning":"no","associated_tools":[{"url":"https://www.wdc-climate.de/ui/entry?acronym=TRIM-NP-2d-PCA_ResCurr","name":"Residual Currents in the North Sea"},{"url":"https://hcdc.hzg.de/drift-now/","name":"Drift App"},{"url":"https://hcdc.hzg.de/bn-oil-dispersion/","name":"Oil Drift"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012648","name":"re3data:r3d100012648","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001311","bsg-d001311"],"name":"FAIRsharing record for: coastMap","abbreviation":"coastMap","url":"https://fairsharing.org/10.25504/FAIRsharing.278768","doi":"10.25504/FAIRsharing.278768","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: coastMap is a collection of data based on the observations of the seafloor and water conditions and atmosphere of mainly the North Sea. This information can be used for analysis and modelling by researchers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Environmental Science","Geology","Marine Biology","Atmospheric Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment","Sedimentology"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"coastMap Disclaimer","licence_id":140,"licence_url":"https://www.hzg.de/imperia/md/images/coastmap/coastmap_disclaimer.pdf","link_id":945,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":943,"relation":"undefined"},{"licence_name":"Helmholtz-Zentrum Geesthacht Data Privacy","licence_id":386,"licence_url":"https://www.hzg.de/public_relations_media/imprint/privacy_policy/index.php.en","link_id":942,"relation":"undefined"}],"grants":[{"id":3515,"fairsharing_record_id":2812,"organisation_id":1236,"relation":"maintains","created_at":"2021-09-30T09:26:18.690Z","updated_at":"2021-09-30T09:26:18.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":1236,"name":"Helmholtz-Zentrum Geesthacht (HZG), Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2813","type":"fairsharing_records","attributes":{"created_at":"2019-07-31T22:43:08.000Z","updated_at":"2023-12-15T10:32:24.894Z","metadata":{"doi":"10.25504/FAIRsharing.cd40d1","name":"Copernicus Space Component Data Access","status":"ready","contacts":[{"contact_name":"General Support","contact_email":"EOSupport@copernicus.esa.int"}],"homepage":"https://spacedata.copernicus.eu","identifier":2813,"description":"The CSCDA portal is the access point to information collected on Land, Marine, environmental as well as emergency and security data by the European Union using space component data.","abbreviation":"CSCDA","data_curation":{"type":"none"},"support_links":[{"url":"https://spacedata.copernicus.eu/web/cscda/blogs/-/blogs/","name":"Latest news","type":"Blog/News"},{"url":"https://spacedata.copernicus.eu/web/cscda/faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://spacedata.copernicus.eu/web/cscda/copernicus-users/users-feedback","name":"User feedback","type":"Help documentation"},{"url":"https://spacedata.copernicus.eu/web/cscda/explore-more/document-library","name":"Document Library","type":"Help documentation"},{"url":"https://twitter.com/CopernicusData","name":"Twitter","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011048","name":"re3data:r3d100011048","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001312","bsg-d001312"],"name":"FAIRsharing record for: Copernicus Space Component Data Access","abbreviation":"CSCDA","url":"https://fairsharing.org/10.25504/FAIRsharing.cd40d1","doi":"10.25504/FAIRsharing.cd40d1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CSCDA portal is the access point to information collected on Land, Marine, environmental as well as emergency and security data by the European Union using space component data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Earth Science","Atmospheric Science","Oceanography","Physical Geography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Geological mapping"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"CSCDA Legal Documents","licence_id":203,"licence_url":"https://spacedata.copernicus.eu/web/cscda/data-offer/legal-documents","link_id":1454,"relation":"undefined"}],"grants":[{"id":3516,"fairsharing_record_id":2813,"organisation_id":957,"relation":"maintains","created_at":"2021-09-30T09:26:18.770Z","updated_at":"2021-09-30T09:26:18.770Z","grant_id":null,"is_lead":true,"saved_state":{"id":957,"name":"European Space Agency","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3517,"fairsharing_record_id":2813,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:18.807Z","updated_at":"2021-09-30T09:29:16.878Z","grant_id":174,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7/2007-2013","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2817","type":"fairsharing_records","attributes":{"created_at":"2019-08-14T09:54:55.000Z","updated_at":"2023-06-23T16:16:30.843Z","metadata":{"doi":"10.25504/FAIRsharing.d36c2c","name":"OpenML","status":"ready","contacts":[],"homepage":"https://www.openml.org/","citations":[],"identifier":2817,"description":"The Open Machine Learning project is an inclusive movement to build an open, organized, online ecosystem for machine learning. We build open source tools to discover (and share) open data from any domain, easily draw them into your favourite machine learning environments, quickly build models alongside (and together with) thousands of other data scientists, analyse your results against the state of the art, and even get automatic advice on how to build better models","abbreviation":"OpenML","data_curation":{"type":"automated"},"support_links":[{"url":"https://docs.openml.org/","name":"Help documentation","type":"Help documentation"},{"url":"https://docs.openml.org/OpenML_definition/","name":"OpenML Definition","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011098","name":"re3data:r3d100011098","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://docs.openml.org/Contributing/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001316","bsg-d001316"],"name":"FAIRsharing record for: OpenML","abbreviation":"OpenML","url":"https://fairsharing.org/10.25504/FAIRsharing.d36c2c","doi":"10.25504/FAIRsharing.d36c2c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Machine Learning project is an inclusive movement to build an open, organized, online ecosystem for machine learning. We build open source tools to discover (and share) open data from any domain, easily draw them into your favourite machine learning environments, quickly build models alongside (and together with) thousands of other data scientists, analyse your results against the state of the art, and even get automatic advice on how to build better models","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Mining","Subject Agnostic"],"domains":["Machine learning"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","Netherlands","Portugal"],"publications":[{"id":3357,"pubmed_id":null,"title":"OpenML-Python: an extensible Python API for OpenML","year":2019,"url":"https://doi.org/10.48550/arXiv.1911.02490","authors":"Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter","journal":"arXiv preprint","doi":"https://doi.org/10.48550/arXiv.1911.02490","created_at":"2022-05-09T22:08:10.619Z","updated_at":"2022-05-09T22:11:51.914Z"},{"id":3358,"pubmed_id":null,"title":"OpenML: networked science in machine learning","year":2014,"url":"https://doi.org/10.1145/2641190.2641198","authors":"Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luis Torgo","journal":"arXiv preprint","doi":"https://doi.org/10.1145/2641190.2641198","created_at":"2022-05-09T22:10:52.586Z","updated_at":"2022-05-09T22:13:12.036Z"},{"id":3359,"pubmed_id":null,"title":"OpenML: An R package to connect to the machine learning platform OpenML","year":2017,"url":"http://dx.doi.org/10.1007/s00180-017-0742-2","authors":"Casalicchio, Giuseppe; Bossek, Jakob; Lang, Michel; Kirchhoff, Dominik; Kerschke, Pascal; Hofner, Benjamin; Seibold, Heidi; Vanschoren, Joaquin; Bischl, Bernd; ","journal":"Comput Stat","doi":"10.1007/s00180-017-0742-2","created_at":"2022-05-09T22:18:34.934Z","updated_at":"2022-05-09T22:18:34.934Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2684,"relation":"applies_to_content"}],"grants":[{"id":3524,"fairsharing_record_id":2817,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:26:19.024Z","updated_at":"2021-09-30T09:26:19.024Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3525,"fairsharing_record_id":2817,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:26:19.057Z","updated_at":"2021-09-30T09:26:19.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2822","type":"fairsharing_records","attributes":{"created_at":"2019-09-16T11:33:22.000Z","updated_at":"2023-12-15T10:33:13.962Z","metadata":{"doi":"10.25504/FAIRsharing.SrP8P7","name":"Dynamic Ecological Information Management System - Site and Dataset Registry","status":"ready","contacts":[{"contact_name":"Christoph Wohner","contact_email":"christoph.wohner@umweltbundesamt.at","contact_orcid":"0000-0002-0655-3699"}],"homepage":"https://deims.org","citations":[{"publication_id":2563}],"identifier":2822,"description":"DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry) is an information management system for the discovery of long-term environmental research and monitoring facilities around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR includes metadata such as site location, ecosystem, facilities, parameters measured and research themes.","abbreviation":"DEIMS-SDR","data_curation":{"url":"https://eidc.ac.uk/support/dataManagement","type":"manual/automated"},"support_links":[{"url":"https://deims.org/contact","name":"Contact Form","type":"Help documentation"},{"url":"https://deims.org/docs/","name":"Documentation","type":"Help documentation"},{"url":"https://deims.org/models","name":"View Metadata Models","type":"Help documentation"},{"url":"https://deims.org/about","name":"About","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012910","name":"re3data:r3d100012910","portal":"re3data"}],"data_access_condition":{"url":"https://deims.org/about","type":"controlled"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://eidc.ac.uk/support/dataManagement","name":"Preservation plan"},"data_deposition_condition":{"url":"https://deims.org/about","type":"controlled","notes":"A message must be written to obtain an user account."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001321","bsg-d001321"],"name":"FAIRsharing record for: Dynamic Ecological Information Management System - Site and Dataset Registry","abbreviation":"DEIMS-SDR","url":"https://fairsharing.org/10.25504/FAIRsharing.SrP8P7","doi":"10.25504/FAIRsharing.SrP8P7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry) is an information management system for the discovery of long-term environmental research and monitoring facilities around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR includes metadata such as site location, ecosystem, facilities, parameters measured and research themes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Ecology","Ecosystem Science"],"domains":["Geographical location","Ecosystem","Monitoring"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":2563,"pubmed_id":null,"title":"DEIMS-SDR – A web portal to document research sites and their associated data.","year":2019,"url":"https://doi.org/10.1016/j.ecoinf.2019.01.005","authors":"Wohner, C., Peterseil, J., Poursanidis, D., Kliment, T., Wilson, M., Mirtl, M., \u0026 Chrysoulakis, N.","journal":"Ecological Informatics","doi":null,"created_at":"2021-09-30T08:27:14.328Z","updated_at":"2021-09-30T08:27:14.328Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2152,"relation":"undefined"},{"licence_name":"DEIMS-SDR Terms of Use","licence_id":232,"licence_url":"https://deims.org/terms","link_id":2153,"relation":"undefined"}],"grants":[{"id":3535,"fairsharing_record_id":2822,"organisation_id":1727,"relation":"maintains","created_at":"2021-09-30T09:26:19.354Z","updated_at":"2021-09-30T09:26:19.354Z","grant_id":null,"is_lead":false,"saved_state":{"id":1727,"name":"Long-Term Ecosystem Research in Europe (eLTER), Austria","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3537,"fairsharing_record_id":2822,"organisation_id":864,"relation":"funds","created_at":"2021-09-30T09:26:19.405Z","updated_at":"2021-09-30T09:26:19.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":864,"name":"ENVeurope, Italy","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3540,"fairsharing_record_id":2822,"organisation_id":871,"relation":"funds","created_at":"2021-09-30T09:26:19.480Z","updated_at":"2021-09-30T09:26:19.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":871,"name":"ENVRIplus, Finland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3534,"fairsharing_record_id":2822,"organisation_id":461,"relation":"maintains","created_at":"2021-09-30T09:26:19.331Z","updated_at":"2021-09-30T09:26:19.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":461,"name":"Centre for Ecology and Hydrology (CEH), Swindon, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3536,"fairsharing_record_id":2822,"organisation_id":1727,"relation":"funds","created_at":"2021-09-30T09:26:19.379Z","updated_at":"2021-09-30T09:26:19.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":1727,"name":"Long-Term Ecosystem Research in Europe (eLTER), Austria","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3538,"fairsharing_record_id":2822,"organisation_id":886,"relation":"funds","created_at":"2021-09-30T09:26:19.431Z","updated_at":"2021-09-30T09:26:19.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":886,"name":"EUDAT","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3539,"fairsharing_record_id":2822,"organisation_id":823,"relation":"funds","created_at":"2021-09-30T09:26:19.455Z","updated_at":"2021-09-30T09:26:19.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":823,"name":"Ecopotential","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3541,"fairsharing_record_id":2822,"organisation_id":976,"relation":"funds","created_at":"2021-09-30T09:26:19.516Z","updated_at":"2021-09-30T09:26:19.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":976,"name":"ExpeER","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2824","type":"fairsharing_records","attributes":{"created_at":"2019-08-27T18:57:15.000Z","updated_at":"2024-04-09T09:16:20.260Z","metadata":{"doi":"10.25504/FAIRsharing.SnTbUa","name":"MAR databases","status":"ready","contacts":[{"contact_name":"Nils Peder Willassen","contact_email":"nils-peder.willassen@uit.no","contact_orcid":"0000-0002-4397-8020"},{"contact_name":"Eirin Calhoun","contact_email":"erin.calhoun@uit.no","contact_orcid":null}],"homepage":"https://mmp2.sfb.uit.no/databases/","citations":[{"doi":"10.1093/nar/gkx1036","pubmed_id":29106641,"publication_id":2562}],"identifier":2824,"description":"The MAR databases is a collection of manually curated marine microbial contextual and sequence databases, based at the Marine Metagenomics Portal. This was developed as a part of the ELIXIR EXCELERATE project in 2017 and is maintained by The Center for Bioinformatics (SfB) at the UiT The Arctic University of Norway. SfB is hosting the UiT node of ELIXIR Norway. The MarRef, MarDb, MarFun and MarCat contextual databases are built by compiling data from a number of public available sequence, taxonomy and literature databases in a semi-automatic fashion.","abbreviation":"MAR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://mmp2.sfb.uit.no/terms-of-use/","name":"Terms of use","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","associated_tools":[{"url":"https://mmp2.sfb.uit.no/metapipe/","name":"META-pipe"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001323","bsg-d001323"],"name":"FAIRsharing record for: MAR databases","abbreviation":"MAR","url":"https://fairsharing.org/10.25504/FAIRsharing.SnTbUa","doi":"10.25504/FAIRsharing.SnTbUa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MAR databases is a collection of manually curated marine microbial contextual and sequence databases, based at the Marine Metagenomics Portal. This was developed as a part of the ELIXIR EXCELERATE project in 2017 and is maintained by The Center for Bioinformatics (SfB) at the UiT The Arctic University of Norway. SfB is hosting the UiT node of ELIXIR Norway. The MarRef, MarDb, MarFun and MarCat contextual databases are built by compiling data from a number of public available sequence, taxonomy and literature databases in a semi-automatic fashion.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Marine Biology"],"domains":["DNA sequence data","Genome annotation","Marine environment","Marine metagenome","Metagenome"],"taxonomies":["Bacteria","Fungi"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":2562,"pubmed_id":29106641,"title":"The MAR databases: development and implementation of databases specific for marine metagenomics","year":2017,"url":"http://doi.org/10.1093/nar/gkx1036","authors":"Klemetsen T, Raknes IA, Fu J, Agafonov A, Balasundaram SV, Tartari G, Robertsen E, Willassen NP","journal":"NAR","doi":"10.1093/nar/gkx1036","created_at":"2021-09-30T08:27:14.220Z","updated_at":"2021-09-30T08:27:14.220Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":331,"relation":"undefined"}],"grants":[{"id":3545,"fairsharing_record_id":2824,"organisation_id":2891,"relation":"maintains","created_at":"2021-09-30T09:26:19.613Z","updated_at":"2021-09-30T09:26:19.613Z","grant_id":null,"is_lead":true,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3547,"fairsharing_record_id":2824,"organisation_id":846,"relation":"funds","created_at":"2021-09-30T09:26:19.664Z","updated_at":"2021-09-30T09:29:00.581Z","grant_id":52,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","grant":"270068","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3548,"fairsharing_record_id":2824,"organisation_id":846,"relation":"maintains","created_at":"2021-09-30T09:26:19.687Z","updated_at":"2021-09-30T09:26:19.687Z","grant_id":null,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3543,"fairsharing_record_id":2824,"organisation_id":1262,"relation":"funds","created_at":"2021-09-30T09:26:19.564Z","updated_at":"2021-09-30T09:29:17.560Z","grant_id":180,"is_lead":false,"saved_state":{"id":1262,"name":"Horizon 2020 Programme of the European Union - EMBRIC","grant":"654008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3544,"fairsharing_record_id":2824,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:26:19.589Z","updated_at":"2021-09-30T09:31:00.384Z","grant_id":975,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"208481","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11588,"fairsharing_record_id":2824,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:17.992Z","updated_at":"2024-03-21T13:59:18.383Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2825","type":"fairsharing_records","attributes":{"created_at":"2019-09-19T14:57:20.000Z","updated_at":"2022-07-20T13:20:07.616Z","metadata":{"doi":"10.25504/FAIRsharing.O7UKUm","name":"Heart Diseases related Noncoding RNA Database","status":"deprecated","contacts":[{"contact_name":"Li Li","contact_email":"lilirz@tongji.edu.cn"}],"homepage":"http://hdncrna.cardiacdev.com","citations":[{"doi":"10.1093/database/bay067.","pubmed_id":30053237,"publication_id":2568}],"identifier":2825,"description":"The Heart Disease-related Non-coding RNAs Database (HDncRNA) provides information about common heart diseases and their related noncoding RNAs. The HDncRNA database contains manually annotated associations of ncRNAs with heart disease. Sources of data in this database are published articles, ncRNA databases and public RNA-seq datasets.","abbreviation":"HDncRNA","data_curation":{"type":"not found"},"support_links":[{"url":"https://hdncrna.cardiacdev.com/pages/help.html","name":"Help Manual","type":"Help documentation"},{"url":"https://hdncrna.cardiacdev.com/pages/about.html","name":"About","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","deprecation_date":"2021-9-21","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001325","bsg-d001325"],"name":"FAIRsharing record for: Heart Diseases related Noncoding RNA Database","abbreviation":"HDncRNA","url":"https://fairsharing.org/10.25504/FAIRsharing.O7UKUm","doi":"10.25504/FAIRsharing.O7UKUm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Heart Disease-related Non-coding RNAs Database (HDncRNA) provides information about common heart diseases and their related noncoding RNAs. The HDncRNA database contains manually annotated associations of ncRNAs with heart disease. Sources of data in this database are published articles, ncRNA databases and public RNA-seq datasets.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12849}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Genetics","Life Science"],"domains":["Expression data","Gene expression","RNA sequencing","Non-coding RNA","Long non-coding RNA","Heart","Cardiovascular disease"],"taxonomies":["Bos taurus","Canis lupus","Homo sapiens","Mus musculus","Rattus norvegicus","Sus scrofa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2568,"pubmed_id":30053237,"title":"HDncRNA: a comprehensive database of non-coding RNAs associated with heart diseases.","year":2018,"url":"http://doi.org/10.1093/database/bay067","authors":"Wang WJ,Wang YM,Hu Y,Lin Q,Chen R,Liu H,Cao WZ,Zhu HF,Tong C,Li L,Peng LY","journal":"Database (Oxford)","doi":"10.1093/database/bay067.","created_at":"2021-09-30T08:27:14.912Z","updated_at":"2021-09-30T08:27:14.912Z"}],"licence_links":[],"grants":[{"id":3550,"fairsharing_record_id":2825,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:26:19.739Z","updated_at":"2021-09-30T09:26:19.739Z","grant_id":null,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3551,"fairsharing_record_id":2825,"organisation_id":2866,"relation":"maintains","created_at":"2021-09-30T09:26:19.764Z","updated_at":"2021-09-30T09:26:19.764Z","grant_id":null,"is_lead":true,"saved_state":{"id":2866,"name":"Tongji University School of Medicine, Shanghai, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9311,"fairsharing_record_id":2825,"organisation_id":2053,"relation":"funds","created_at":"2022-04-11T12:07:29.551Z","updated_at":"2022-04-11T12:07:29.567Z","grant_id":343,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81670208","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2829","type":"fairsharing_records","attributes":{"created_at":"2019-09-09T13:25:20.000Z","updated_at":"2022-07-20T12:19:54.522Z","metadata":{"doi":"10.25504/FAIRsharing.ANR6qz","name":"BIOchemical PathwaY DataBase","status":"deprecated","contacts":[{"contact_name":"Ram Rup Sarkar","contact_email":"rr.sarkar@ncl.res.in","contact_orcid":"0000-0001-7115-163X"}],"homepage":"http://biopydb.ncl.res.in/biopydb/index.php","citations":[{"doi":"10.1515/jib-2017-0072","pubmed_id":29547394,"publication_id":2560}],"identifier":2829,"description":"BIOPYDB is a manually-curated database of human cell specific biochemical pathway data. The information within BIOPYDB is primarily extracted from published scientific literature and a selection of databases. The reconstructed pathways contain information about proteins, protein complexes, inorganic molecules, mutated and onco-proteins of signalling, disease and immunological pathways. Every molecule and interaction listed in the database contains at least one reference in a peer reviewed journal.","abbreviation":"BIOPYDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://biopydb.ncl.res.in/biopydb/contactform.html","name":"Feedback Form","type":"Contact form"},{"url":"biopydb@gmail.com","name":"General contact","type":"Support email"},{"url":"http://biopydb.ncl.res.in/biopydb/FAQ.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"http://biopydb.ncl.res.in/biopydb/ode_analysis.php","name":"Dynamic Analysis using ODEs"},{"url":"http://biopydb.ncl.res.in/boolean_app/index.php","name":"Logical Analysis"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001329","bsg-d001329"],"name":"FAIRsharing record for: BIOchemical PathwaY DataBase","abbreviation":"BIOPYDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ANR6qz","doi":"10.25504/FAIRsharing.ANR6qz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BIOPYDB is a manually-curated database of human cell specific biochemical pathway data. The information within BIOPYDB is primarily extracted from published scientific literature and a selection of databases. The reconstructed pathways contain information about proteins, protein complexes, inorganic molecules, mutated and onco-proteins of signalling, disease and immunological pathways. Every molecule and interaction listed in the database contains at least one reference in a peer reviewed journal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biochemistry","Proteomics","Life Science"],"domains":["Computational biological predictions","Signaling","Protein-containing complex","Mutation","High-throughput screening","Curated information","Disease","Biocuration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":2560,"pubmed_id":29547394,"title":"BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform.","year":2018,"url":"http://doi.org/10.1515/jib-2017-0072","authors":"Chowdhury S,Sinha N,Ganguli P,Bhowmick R,Singh V,Nandi S,Sarkar RR","journal":"J Integr Bioinform","doi":"10.1515/jib-2017-0072","created_at":"2021-09-30T08:27:14.003Z","updated_at":"2021-09-30T08:27:14.003Z"}],"licence_links":[],"grants":[{"id":3559,"fairsharing_record_id":2829,"organisation_id":499,"relation":"maintains","created_at":"2021-09-30T09:26:19.972Z","updated_at":"2021-09-30T09:26:19.972Z","grant_id":null,"is_lead":true,"saved_state":{"id":499,"name":"Chemical Engineering and Processing Development (CEPD), CSIR-National Chemical Laboratory, Pune, India","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3557,"fairsharing_record_id":2829,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:26:19.923Z","updated_at":"2021-09-30T09:31:35.542Z","grant_id":1239,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","grant":"10.13039/501100001412 (BSC0114)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8458,"fairsharing_record_id":2829,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:32:43.735Z","updated_at":"2021-09-30T09:32:43.791Z","grant_id":1751,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","grant":"10.13039/501100001412 (BSC0121)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3558,"fairsharing_record_id":2829,"organisation_id":2550,"relation":"funds","created_at":"2021-09-30T09:26:19.950Z","updated_at":"2021-09-30T09:32:04.620Z","grant_id":1457,"is_lead":false,"saved_state":{"id":2550,"name":"SERB, Ministry of Science and Technology, Government of India","grant":"Funder Id: 10.13039/501100001843 - No. EMR/2016/000516","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2843","type":"fairsharing_records","attributes":{"created_at":"2019-11-19T13:55:56.000Z","updated_at":"2023-12-15T10:29:05.312Z","metadata":{"doi":"10.25504/FAIRsharing.2c9d3c","name":"Mouse Models of Human Cancer Database","status":"ready","contacts":[{"contact_name":"CJ Bult","contact_email":"carol.bult@jax.org"}],"homepage":"http://tumor.informatics.jax.org/mtbwi/index.do","citations":[{"doi":"10.1158/0008-5472.CAN-17-0584","pubmed_id":29092943,"publication_id":2628}],"identifier":2843,"description":"The Mouse Tumor Biology (MTB) Database supports the use of the mouse as a model system of human cancers by providing access to information on and data for: spontaneous and induced tumors in mice, genetically defined mice (inbred, hybrid, mutant, and genetically engineered strains of mice) in which tumors arise, genetic factors associated with tumor susceptibility in mice, somatic genetic-mutations observed in tumors, and Patient Derived Xenograft (PDX) models.","abbreviation":"MMHCdb","data_curation":{"url":"https://tumor.informatics.jax.org/mtbwi/index.do","type":"manual","notes":"MMHCdb is a comprehensive, expertly curated resource"},"support_links":[{"url":"http://tumor.informatics.jax.org/mtbwi/userHelp.jsp","name":"Help Pages","type":"Help documentation"},{"url":"http://tumor.informatics.jax.org/mtbwi/news-events.jsp","type":"Blog/News"},{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","type":"Contact form"},{"url":"https://www.github.com/mgijax/mtb-wi","name":"MMHCdb Web Interface","type":"Github"},{"url":"https://www.github.com/mgijax/mtb-dao","name":"MMHCdb Data Layer","type":"Github"},{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","name":"MMHCdb Web interface","type":"Github"},{"url":"http://www.informatics.jax.org/mgihome/lists/lists.shtml","type":"Forum"}],"year_creation":1998,"data_versioning":"no","associated_tools":[{"url":"http://tumor.informatics.jax.org/mtbwi/dynamicGrid.do","name":"Dynamic Tumor Frequency Grid"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011907","name":"re3data:r3d100011907","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006517","name":"SciCrunch:RRID:SCR_006517","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://tumor.informatics.jax.org/mtbwi/userHelp.jsp","type":"controlled","notes":"Contact User Support to request a consultation with an MMHCdb Biocuration Scientist about submitting."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001344","bsg-d001344"],"name":"FAIRsharing record for: Mouse Models of Human Cancer Database","abbreviation":"MMHCdb","url":"https://fairsharing.org/10.25504/FAIRsharing.2c9d3c","doi":"10.25504/FAIRsharing.2c9d3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mouse Tumor Biology (MTB) Database supports the use of the mouse as a model system of human cancers by providing access to information on and data for: spontaneous and induced tumors in mice, genetically defined mice (inbred, hybrid, mutant, and genetically engineered strains of mice) in which tumors arise, genetic factors associated with tumor susceptibility in mice, somatic genetic-mutations observed in tumors, and Patient Derived Xenograft (PDX) models.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Pathology"],"domains":["Cancer","Tumor","Histology"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2628,"pubmed_id":29092943,"title":"The Mouse Tumor Biology Database: A Comprehensive Resource for Mouse Models of Human Cancer.","year":2017,"url":"http://doi.org/10.1158/0008-5472.CAN-17-0584","authors":"Krupke DM,Begley DA,Sundberg JP,Richardson JE,Neuhauser SB,Bult CJ","journal":"Cancer Res","doi":"10.1158/0008-5472.CAN-17-0584","created_at":"2021-09-30T08:27:22.663Z","updated_at":"2021-09-30T08:27:22.663Z"},{"id":2629,"pubmed_id":18432250,"title":"The Mouse Tumor Biology database.","year":2008,"url":"http://doi.org/10.1038/nrc2390","authors":"Krupke DM,Begley DA,Sundberg JP,Bult CJ,Eppig JT","journal":"Nat Rev Cancer","doi":"10.1038/nrc2390","created_at":"2021-09-30T08:27:22.779Z","updated_at":"2021-09-30T08:27:22.779Z"}],"licence_links":[{"licence_name":"MTB Copyright Notice","licence_id":530,"licence_url":"http://tumor.informatics.jax.org/mtbwi/copyright.jsp","link_id":701,"relation":"undefined"}],"grants":[{"id":8592,"fairsharing_record_id":2843,"organisation_id":2035,"relation":"funds","created_at":"2021-11-11T09:55:16.161Z","updated_at":"2021-11-11T09:55:16.161Z","grant_id":1819,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NCI R01 CA89713","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3592,"fairsharing_record_id":2843,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:26:20.638Z","updated_at":"2021-09-30T09:26:20.638Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2844","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T03:44:37.000Z","updated_at":"2024-03-05T14:23:59.455Z","metadata":{"doi":"10.25504/FAIRsharing.V527H4","name":"Center for Expanded Data Annotation and Retrieval Workbench","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu","contact_orcid":"0000-0001-6875-5360"},{"contact_name":"Metadata Center Contact","contact_email":"cedar-news@metadatacenter.org","contact_orcid":null}],"homepage":"https://metadatacenter.org/","citations":[{"doi":"10.1093/jamia/ocv048","pubmed_id":26112029,"publication_id":583}],"identifier":2844,"description":"The Center for Expanded Data Annotation and Retrieval (CEDAR) Workbench is a database of metadata templates that define the data elements needed to describe particular types of biomedical experiments. The templates include controlled terms and synonyms for specific data elements. CEDAR is an end-to-end process that enables community-based organizations to collaborate to create metadata templates, investigators or curators to use the templates to define the metadata for individual experiments, and scientists to search the metadata to access and analyze the corresponding online datasets. ","abbreviation":"CEDAR Workbench","data_curation":{"type":"not found"},"support_links":[{"url":"https://metadatacenter.org/help/","name":"Help Pages","type":"Help documentation"},{"url":"https://metadatacenter.org/category/happenings/","type":"Blog/News"},{"url":"https://metadatacenter.org/publications/","name":"CEDAR Publications","type":"Help documentation"},{"url":"https://twitter.com/metadatacenter","name":"@metadatacenter","type":"Twitter"},{"url":"https://www.facebook.com/MetadataCenter/","name":"@MetadataCenter","type":"Facebook"},{"url":"https://www.youtube.com/channel/UCO3MPDH9cD4L8fA-tZ1LB7A","name":"CEDAR on Youtube","type":"Video"},{"url":"https://metadatacenter.org/help/#subscribe","type":"Mailing list"},{"url":"http://github.com/metadatacenter","name":"Metadata Center on GitHub","type":"Github"},{"url":"https://metadatacenter.org/tools-training/outreach/cedar-template-model","name":"CEDAR Template Model","type":"Help documentation"},{"url":"https://more.metadatacenter.org/research/analytics-driven","name":"CEDAR Analytic Engine","type":"Training documentation"},{"url":"http://cedar-dev.stanford.edu/about-us/feedback","name":"CEDAR Feedback","type":"Contact form"},{"url":"https://metadatacenter.org/tools-training/orientation","name":"Getting Started","type":"Training documentation"},{"url":"https://more.metadatacenter.org/purpose/scenarios","name":"CEDAR User Scenarios","type":"Training documentation"},{"url":"https://immport.niaid.nih.gov/","name":"Immunology Database and Analysis Portal","type":"Other"},{"url":"https://mailman.stanford.edu/mailman/listinfo/cedar-developers","name":"CEDAR Developers Contact Form","type":"Contact form"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"https://cedar.metadatacenter.org","name":"CEDAR Workbench"},{"url":"https://www.dropwizard.io/en/latest/","name":"Dropwizard Java Framework"},{"url":"https://angularjs.org/","name":"AngularJS HTML Vocabulary"},{"url":"https://auth.zenhub.com/login?state=hKFo2SBNb3V6cUdwUXRWaG9WRHhHblpBa0FBUG1uaE52VjVlRaFupWxvZ2luo3RpZNkgVnlxS0xQbmljb0ZiX3h1ekEtTllKRVo5UkI5V0dSRlqjY2lk2SBJcWRRaktTSkI0bDkzMDB2ekJIMFRZRTlyd2pOdk5GTQ\u0026client=IqdQjKSJB4l9300vzBH0TYE9rwjNvNFM\u0026protocol=oauth2\u0026audience=https%3A%2F%2Fzenhub.us.auth0.com%2Fapi%2Fv2%2F\u0026issuer=https%3A%2F%2Fauth.zenhub.com%2F\u0026scope=openid%20profile%20email%20read%3Acurrent_user%20update%3Acurrent_user_metadata\u0026redirect_uri=https%3A%2F%2Fapp.zenhub.com%2Fplatform\u0026screen_hint=login\u0026app_url=https%3A%2F%2Fapp.zenhub.com\u0026api_url=https%3A%2F%2Fapi.zenhub.com\u0026workspaceName=Cedar%20features\u0026isMissingAccount=false\u0026response_type=code\u0026response_mode=query\u0026nonce=cjZES35pSncuVnhoLlBGTDd1bEh1blp%2BMmltRXg3WHJJNEQ4Rjc2WENKUg%3D%3D\u0026code_challenge=xZAWrhgYsxiDUGbdIXbjeNEOrpWfyPnrkLTK38cYBwk\u0026code_challenge_method=S256\u0026auth0Client=eyJuYW1lIjoiYXV0aDAtcmVhY3QiLCJ2ZXJzaW9uIjoiMS4xMC4xIn0%3D","name":"CEDAR ZenHub"}],"data_access_condition":{"type":"controlled","notes":"Login required"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001345","bsg-d001345"],"name":"FAIRsharing record for: Center for Expanded Data Annotation and Retrieval Workbench","abbreviation":"CEDAR Workbench","url":"https://fairsharing.org/10.25504/FAIRsharing.V527H4","doi":"10.25504/FAIRsharing.V527H4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Center for Expanded Data Annotation and Retrieval (CEDAR) Workbench is a database of metadata templates that define the data elements needed to describe particular types of biomedical experiments. The templates include controlled terms and synonyms for specific data elements. CEDAR is an end-to-end process that enables community-based organizations to collaborate to create metadata templates, investigators or curators to use the templates to define the metadata for individual experiments, and scientists to search the metadata to access and analyze the corresponding online datasets. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Integration","Data Governance"],"domains":["Resource metadata","Experimental measurement","Protocol","Study design","Machine learning","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":["Semantic"],"countries":["United States"],"publications":[{"id":583,"pubmed_id":26112029,"title":"The center for expanded data annotation and retrieval.","year":2015,"url":"http://doi.org/10.1093/jamia/ocv048","authors":"Musen MA,Bean CA,Cheung KH,Dumontier M,Durante KA,Gevaert O,Gonzalez-Beltran A,Khatri P,Kleinstein SH,O'Connor MJ,Pouliot Y,Rocca-Serra P,Sansone SA,Wiser JA","journal":"J Am Med Inform Assoc","doi":"10.1093/jamia/ocv048","created_at":"2021-09-30T08:23:23.843Z","updated_at":"2021-09-30T08:23:23.843Z"},{"id":3271,"pubmed_id":null,"title":"The CEDAR Workbench: An Ontology-Assisted Environment for Authoring Metadata that Describe Scientific Experiments","year":2017,"url":"http://dx.doi.org/10.1007/978-3-319-68204-4_10","authors":"Gonçalves, Rafael S.; O’Connor, Martin J.; Martínez-Romero, Marcos; Egyedi, Attila L.; Willrett, Debra; Graybeal, John; Musen, Mark A.; ","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-319-68204-4_10","created_at":"2022-03-25T10:28:50.461Z","updated_at":"2022-03-25T10:28:50.461Z"}],"licence_links":[],"grants":[{"id":3594,"fairsharing_record_id":2844,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:26:20.672Z","updated_at":"2021-09-30T09:26:20.672Z","grant_id":null,"is_lead":true,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3593,"fairsharing_record_id":2844,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:26:20.655Z","updated_at":"2021-09-30T09:28:53.307Z","grant_id":1,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"1U54AI117925","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2845","type":"fairsharing_records","attributes":{"created_at":"2019-11-01T10:09:29.000Z","updated_at":"2023-12-15T10:31:24.317Z","metadata":{"doi":"10.25504/FAIRsharing.rgcsW6","name":"Chlamydiae Database","status":"ready","contacts":[{"contact_name":"Trestan Pillonel","contact_email":"trestan.pillonel@chuv.ch","contact_orcid":"0000-0002-5725-7929"}],"homepage":"https://www.chlamdb.ch/","citations":[{"doi":"gkz924","pubmed_id":31665454,"publication_id":2605}],"identifier":2845,"description":"ChlamDB is a comparative genomics database covering the entire Chlamydiae phylum as well as their closest relatives belonging to the Planctomycetes-Verrucomicrobiae-Chlamydiae (PVC) superphylum. Genomes can be compared, analyzed and retrieved using accessions numbers of the most widely used databases including COG, KEGG ortholog, KEGG pathway, KEGG module, Pfam and InterPro. Candidate effectors of the Type III secretion system (T3SS) were identified using four in silico methods. The identification of orthologs among all PVC genomes allows users to perform large-scale comparative analyses and to identify orthologs of any protein in all genomes integrated in the database. Phylogenetic relationships of PVC proteins and their closest homologs in RefSeq, comparison of transmembrane domains and Pfam domains, conservation of gene neighborhood and taxonomic profiles can be visualized using dynamically generated graphs, available for download. As a central resource for researchers working on chlamydia, chlamydia-related bacteria, verrucomicrobia and planctomyces, ChlamDB facilitates the access to comprehensive annotations and integrates multiple tools for comparative genomic analyses.","abbreviation":"ChlamDB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://github.com/metagenlab/chlamdb/issues","name":"Report an Issue","type":"Github"},{"url":"https://www.chlamdb.ch/docs/index.html","name":"Documentation","type":"Help documentation"},{"url":"https://www.chlamdb.ch/about","name":"About ChlamDB","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://chlamdb.ch/blast/","name":"BLAST"},{"url":"https://chlamdb.ch/plot_region/","name":"Plot Genomic Region"},{"url":"https://chlamdb.ch/circos/","name":"Circos Plots"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001346","bsg-d001346"],"name":"FAIRsharing record for: Chlamydiae Database","abbreviation":"ChlamDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rgcsW6","doi":"10.25504/FAIRsharing.rgcsW6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChlamDB is a comparative genomics database covering the entire Chlamydiae phylum as well as their closest relatives belonging to the Planctomycetes-Verrucomicrobiae-Chlamydiae (PVC) superphylum. Genomes can be compared, analyzed and retrieved using accessions numbers of the most widely used databases including COG, KEGG ortholog, KEGG pathway, KEGG module, Pfam and InterPro. Candidate effectors of the Type III secretion system (T3SS) were identified using four in silico methods. The identification of orthologs among all PVC genomes allows users to perform large-scale comparative analyses and to identify orthologs of any protein in all genomes integrated in the database. Phylogenetic relationships of PVC proteins and their closest homologs in RefSeq, comparison of transmembrane domains and Pfam domains, conservation of gene neighborhood and taxonomic profiles can be visualized using dynamically generated graphs, available for download. As a central resource for researchers working on chlamydia, chlamydia-related bacteria, verrucomicrobia and planctomyces, ChlamDB facilitates the access to comprehensive annotations and integrates multiple tools for comparative genomic analyses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12857}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Phylogenomics","Comparative Genomics"],"domains":["Protein domain","Conserved region","Homologous","Orthologous","Genome"],"taxonomies":["Chlamydia","Chlamydiae","Planctomycetes","PVC superphylum","Verrucomicrobia"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2605,"pubmed_id":31665454,"title":"ChlamDB: a comparative genomics database of the phylum Chlamydiae and other members of the Planctomycetes-Verrucomicrobiae-Chlamydiae superphylum.","year":2019,"url":"http://doi.org/10.1093/nar/gkz924","authors":"Pillonel T,Tagini F,Bertelli C,Greub G","journal":"Nucleic Acids Research","doi":"gkz924","created_at":"2021-09-30T08:27:19.751Z","updated_at":"2021-09-30T11:29:40.411Z"}],"licence_links":[],"grants":[{"id":3595,"fairsharing_record_id":2845,"organisation_id":1426,"relation":"maintains","created_at":"2021-09-30T09:26:20.688Z","updated_at":"2021-09-30T09:26:20.688Z","grant_id":null,"is_lead":true,"saved_state":{"id":1426,"name":"Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Switzerland","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2819","type":"fairsharing_records","attributes":{"created_at":"2019-08-20T16:04:48.000Z","updated_at":"2023-12-15T10:31:14.101Z","metadata":{"doi":"10.25504/FAIRsharing.EGn1ut","name":"WALTZ-DB 2.0","status":"ready","contacts":[{"contact_name":"Nikolaos Louros","contact_email":"nikolaos.louros@kuleuven.vib.be","contact_orcid":"0000-0002-4030-1022"}],"homepage":"http://waltzdb.switchlab.org","citations":[{"publication_id":2546}],"identifier":2819,"description":"WALTZ-DB 2.0 is a database for characterizing short peptides for their amyloid fiber-forming capacities. The majority of the data comes from electron microscopy, FTIR and Thioflavin-T experiments done by the Switch lab. Apart from that class of data we also provide the amyloid annotation for several other short peptides found in current scientific research papers. Structural models of the potential amyloid cores are provided for every peptide entry.","abbreviation":"WALTZ-DB 2.0","data_curation":{"type":"manual"},"support_links":[{"url":"http://waltzdb.switchlab.org/contact","name":"Contact form","type":"Contact form"},{"url":"http://waltzdb.switchlab.org/help","name":"Documentation","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001318","bsg-d001318"],"name":"FAIRsharing record for: WALTZ-DB 2.0","abbreviation":"WALTZ-DB 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.EGn1ut","doi":"10.25504/FAIRsharing.EGn1ut","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WALTZ-DB 2.0 is a database for characterizing short peptides for their amyloid fiber-forming capacities. The majority of the data comes from electron microscopy, FTIR and Thioflavin-T experiments done by the Switch lab. Apart from that class of data we also provide the amyloid annotation for several other short peptides found in current scientific research papers. Structural models of the potential amyloid cores are provided for every peptide entry.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12848}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomaterials","Biochemistry","Bioinformatics","Structural Biology","Biophysics","Computational Biology","Biology"],"domains":["Molecular structure","Peptide identification","Protein structure","Peptide library","Electron microscopy","Protein Analysis","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":["Amyloid","Protein aggregation","Steric zippers"],"countries":["Belgium"],"publications":[{"id":2546,"pubmed_id":null,"title":"WALTZ-DB 2.0: An updated database containing structural information of experimentally determined amyloid-forming peptides","year":2019,"url":"https://doi.org/10.1093/nar/gkz758","authors":"Nikolaos Louros, Katerina Konstantoulea, Matthias De Vleeschouwer, Meine Ramakers, Joost Schymkowitz and Frederic Rousseau","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:27:12.195Z","updated_at":"2021-09-30T11:28:36.587Z"}],"licence_links":[],"grants":[{"id":3528,"fairsharing_record_id":2819,"organisation_id":2690,"relation":"maintains","created_at":"2021-09-30T09:26:19.175Z","updated_at":"2021-09-30T09:26:19.175Z","grant_id":null,"is_lead":true,"saved_state":{"id":2690,"name":"Switch Laboratory","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3527,"fairsharing_record_id":2819,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:19.136Z","updated_at":"2021-09-30T09:30:16.321Z","grant_id":630,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"647458","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9334,"fairsharing_record_id":2819,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:31.119Z","updated_at":"2022-04-11T12:07:31.138Z","grant_id":186,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"12P0919N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2820","type":"fairsharing_records","attributes":{"created_at":"2019-09-10T21:10:05.000Z","updated_at":"2023-12-15T10:30:13.718Z","metadata":{"doi":"10.25504/FAIRsharing.2VADoR","name":"The Data Platform for Plasma Technology","status":"ready","contacts":[{"contact_name":"Markus Becker","contact_email":"markus.becker@inp-greifswald.de","contact_orcid":"0000-0001-9324-3236"}],"homepage":"https://www.inptdat.de","citations":[],"identifier":2820,"description":"The interdisciplinary data platform INPTDAT provides easy access to research data and information from all fields of applied plasma physics and plasma medicine. It aims to support the findability, accessibility, interoperability and re-use of data for the low-temperature plasma physics community.","abbreviation":"INPTDAT","data_curation":{"url":"https://www.inptdat.de/about","type":"manual"},"support_links":[{"url":"https://inptdat.de/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.inptdat.de/about","name":"About","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://getdkan.org","name":"dkan"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013120","name":"re3data:r3d100013120","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.inptdat.de/add-dataset","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001319","bsg-d001319"],"name":"FAIRsharing record for: The Data Platform for Plasma Technology","abbreviation":"INPTDAT","url":"https://fairsharing.org/10.25504/FAIRsharing.2VADoR","doi":"10.25504/FAIRsharing.2VADoR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The interdisciplinary data platform INPTDAT provides easy access to research data and information from all fields of applied plasma physics and plasma medicine. It aims to support the findability, accessibility, interoperability and re-use of data for the low-temperature plasma physics community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Atomic, Molecular, Optical and Plasma Physics","Physical Chemistry","Materials Science","Medical Physics"],"domains":["Bioactivity","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1123,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1124,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1125,"relation":"undefined"}],"grants":[{"id":3531,"fairsharing_record_id":2820,"organisation_id":1698,"relation":"maintains","created_at":"2021-09-30T09:26:19.254Z","updated_at":"2021-09-30T09:26:19.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":1698,"name":"Leibniz Institute for Plasma Science and Technology","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3530,"fairsharing_record_id":2820,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:26:19.230Z","updated_at":"2021-09-30T09:32:34.066Z","grant_id":1677,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"16FDM005","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2864","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T23:19:55.000Z","updated_at":"2023-12-15T10:27:24.922Z","metadata":{"doi":"10.25504/FAIRsharing.pS2p8c","name":"UNC Dataverse","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"odumarchive@unc.edu"}],"homepage":"https://dataverse.unc.edu/","citations":[],"identifier":2864,"description":"UNC Dataverse is a research data repository hosted by the Odum Institute at the University of North Carolina at Chapel Hill. UNC Dataverse is an open access repository that accepts data deposits from individual researchers, research groups, institutions, journals, and other entities from all disciplinary domains. UNC Dataverse offers value-added features that support archiving, discovery, and sharing of research data that align with FAIR principles for findable, accessible, interoperable, reusable data.","abbreviation":"UNC Dataverse","data_curation":{"type":"not found"},"support_links":[{"url":"odumarchive@unc.edu","name":"UNC Dataverse Support","type":"Support email"},{"url":"https://odum.unc.edu/archive/","name":"About","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000005","name":"re3data:r3d100000005","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://odum.unc.edu/wp-content/uploads/sites/1060/2020/01/Policy_DigitalPreservation_2020200124.pdf","name":"Digital preservation policy"},"data_deposition_condition":{"url":"https://dataverse.unc.edu/","type":"controlled","notes":"UNC researchers only"},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://www.coretrustseal.org/wp-content/uploads/2020/10/Odum-Institute-Data-Archive.pdf","name":"Core Trust Seal"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001365","bsg-d001365"],"name":"FAIRsharing record for: UNC Dataverse","abbreviation":"UNC Dataverse","url":"https://fairsharing.org/10.25504/FAIRsharing.pS2p8c","doi":"10.25504/FAIRsharing.pS2p8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UNC Dataverse is a research data repository hosted by the Odum Institute at the University of North Carolina at Chapel Hill. UNC Dataverse is an open access repository that accepts data deposits from individual researchers, research groups, institutions, journals, and other entities from all disciplinary domains. UNC Dataverse offers value-added features that support archiving, discovery, and sharing of research data that align with FAIR principles for findable, accessible, interoperable, reusable data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Citation","Publication","Data storage"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3117,"relation":"applies_to_content"},{"licence_name":"UNC Dataverse Terms of Use","licence_id":816,"licence_url":"https://odum.unc.edu/files/2017/05/Policy_UNCDataverseTermsofUse_20170501.pdf","link_id":2060,"relation":"undefined"}],"grants":[{"id":3632,"fairsharing_record_id":2864,"organisation_id":3107,"relation":"funds","created_at":"2021-09-30T09:26:21.884Z","updated_at":"2021-09-30T09:26:21.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3633,"fairsharing_record_id":2864,"organisation_id":1293,"relation":"maintains","created_at":"2021-09-30T09:26:21.917Z","updated_at":"2021-09-30T09:26:21.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":1293,"name":"H. W. Odum Institute for Research in Social Science","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2865","type":"fairsharing_records","attributes":{"created_at":"2019-12-03T10:57:42.000Z","updated_at":"2023-12-15T10:31:28.966Z","metadata":{"doi":"10.25504/FAIRsharing.VXoFLf","name":"Domain-centric GO","status":"ready","contacts":[{"contact_name":"Dr. Hai Fang","contact_email":"hfang@cs.bris.ac.uk"}],"homepage":"http://supfam.org/SUPERFAMILY/dcGO/index.html","citations":[{"doi":"10.1093/nar/gks1080","publication_id":2642}],"identifier":2865,"description":"Domain-centric GO provides associations between ontological terms and protein domains at the superfamily and family levels. Some functional units consist of more than one domain acting together or acting at an interface between domains; therefore, ontological terms associated with pairs of domains, triplets and longer supra-domains are also provided.","abbreviation":"dcGO","data_curation":{"type":"not found"},"support_links":[{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcalgorithm.cgi","name":"Algorithm details","type":"Help documentation"},{"url":"http://supfam.org/SUPERFAMILY/dcGO/background.html","name":"Background","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcpredictormain.cgi","name":"dcGO Predictor"},{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcenrichment.cgi","name":"dcGO Enrichment"},{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcpevo.cgi","name":"dcGO Pevo"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001366","bsg-d001366"],"name":"FAIRsharing record for: Domain-centric GO","abbreviation":"dcGO","url":"https://fairsharing.org/10.25504/FAIRsharing.VXoFLf","doi":"10.25504/FAIRsharing.VXoFLf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Domain-centric GO provides associations between ontological terms and protein domains at the superfamily and family levels. Some functional units consist of more than one domain acting together or acting at an interface between domains; therefore, ontological terms associated with pairs of domains, triplets and longer supra-domains are also provided.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12862}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics"],"domains":["Functional domain","Protein domain","Annotation","Sequence annotation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2642,"pubmed_id":null,"title":"dcGO: database of domain-centric ontologies on functions, phenotypes, diseases and more","year":2013,"url":"http://doi.org/10.1093/nar/gks1080","authors":"Hai Fang, Julian Gough","journal":"Nucleic Acids Research, Volume 41, Issue D1, Pages D536–D544","doi":"10.1093/nar/gks1080","created_at":"2021-09-30T08:27:24.454Z","updated_at":"2021-09-30T08:27:24.454Z"}],"licence_links":[],"grants":[{"id":3634,"fairsharing_record_id":2865,"organisation_id":700,"relation":"maintains","created_at":"2021-09-30T09:26:21.943Z","updated_at":"2021-09-30T09:26:21.943Z","grant_id":null,"is_lead":true,"saved_state":{"id":700,"name":"Department of Computer Science, University of Bristol, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3635,"fairsharing_record_id":2865,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:21.966Z","updated_at":"2021-09-30T09:32:10.810Z","grant_id":1504,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBSRC Tools and Resources Development Fund: BB/L018543/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2866","type":"fairsharing_records","attributes":{"created_at":"2019-12-03T14:02:09.000Z","updated_at":"2023-03-09T18:50:40.903Z","metadata":{"doi":"10.25504/FAIRsharing.CFLgLo","name":"Chickspress","status":"deprecated","contacts":[{"contact_email":"agbase@email.arizona.edu"}],"homepage":"http://geneatlas.arl.arizona.edu/","citations":[{"doi":"10.1093/database/baz058","pubmed_id":31210271,"publication_id":2643}],"identifier":2866,"description":"Chickspress is a gene expression database for chicken tissues. Chickspress incorporates both NCBI and Ensembl gene models and links these gene sets with experimental gene expression data and QTL information. By linking gene models from both NCBI and Ensembl gene prediction pipelines, researchers can compare gene models from each of these prediction workflows to available experimental data. We use Chickspress data to show the differences between these gene annotation pipelines. Chickspress also provides rapid search, visualization and download capacity for chicken gene sets based upon tissue type, developmental stage and experiment type. Chickspress includes a core set of Red Jungle Fowl RNA and peptide data collected across multiple tissues from both male and female birds and public expression data sets.","abbreviation":"Chickspress","data_curation":{"type":"not found"},"support_links":[{"url":"fionamcc@email.arizona.edu","name":"Fiona M McCarthy","type":"Support email"},{"url":"http://geneatlas.arl.arizona.edu/sra_data.php","name":"Links to SRA data","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001367","bsg-d001367"],"name":"FAIRsharing record for: Chickspress","abbreviation":"Chickspress","url":"https://fairsharing.org/10.25504/FAIRsharing.CFLgLo","doi":"10.25504/FAIRsharing.CFLgLo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chickspress is a gene expression database for chicken tissues. Chickspress incorporates both NCBI and Ensembl gene models and links these gene sets with experimental gene expression data and QTL information. By linking gene models from both NCBI and Ensembl gene prediction pipelines, researchers can compare gene models from each of these prediction workflows to available experimental data. We use Chickspress data to show the differences between these gene annotation pipelines. Chickspress also provides rapid search, visualization and download capacity for chicken gene sets based upon tissue type, developmental stage and experiment type. Chickspress includes a core set of Red Jungle Fowl RNA and peptide data collected across multiple tissues from both male and female birds and public expression data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Proteomics"],"domains":["Expression data","Computational biological predictions","Gene prediction","MicroRNA expression analysis","Gene expression","Protein expression","RNA sequencing","Messenger RNA","Micro RNA","Gene","Tissue"],"taxonomies":["Gallus gallus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2643,"pubmed_id":31210271,"title":"Chickspress: a resource for chicken gene expression.","year":2019,"url":"http://doi.org/baz058","authors":"McCarthy FM,Pendarvis K,Cooksey AM,Gresham CR,Bomhoff M,Davey S,Lyons E,Sonstegard TS,Bridges SM,Burgess SC","journal":"Database (Oxford)","doi":"10.1093/database/baz058","created_at":"2021-09-30T08:27:24.563Z","updated_at":"2021-09-30T08:27:24.563Z"}],"licence_links":[],"grants":[{"id":3641,"fairsharing_record_id":2866,"organisation_id":694,"relation":"maintains","created_at":"2021-09-30T09:26:22.125Z","updated_at":"2021-09-30T09:26:22.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":694,"name":"Department of Computer Science and Engineering, Mississippi State University, Starkville, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3637,"fairsharing_record_id":2866,"organisation_id":2506,"relation":"maintains","created_at":"2021-09-30T09:26:22.016Z","updated_at":"2021-09-30T09:26:22.016Z","grant_id":null,"is_lead":true,"saved_state":{"id":2506,"name":"School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3638,"fairsharing_record_id":2866,"organisation_id":1415,"relation":"maintains","created_at":"2021-09-30T09:26:22.051Z","updated_at":"2021-09-30T09:26:22.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":1415,"name":"Institute of Genomics, Biocomputing \u0026 Biotechnology, Mississippi State University, Starkville, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3639,"fairsharing_record_id":2866,"organisation_id":2518,"relation":"maintains","created_at":"2021-09-30T09:26:22.075Z","updated_at":"2021-09-30T09:26:22.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2518,"name":"School of Plant Sciences, University of Arizona, Tucson, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3640,"fairsharing_record_id":2866,"organisation_id":2933,"relation":"maintains","created_at":"2021-09-30T09:26:22.100Z","updated_at":"2021-09-30T09:26:22.100Z","grant_id":null,"is_lead":false,"saved_state":{"id":2933,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Beltsville Agricultural Research Center, Beltsville, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3636,"fairsharing_record_id":2866,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:26:21.993Z","updated_at":"2021-09-30T09:29:28.937Z","grant_id":264,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"2011-67015-30332","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3642,"fairsharing_record_id":2866,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:22.151Z","updated_at":"2021-09-30T09:32:40.714Z","grant_id":1729,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R24 GM079326","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2867","type":"fairsharing_records","attributes":{"created_at":"2019-12-04T08:11:42.000Z","updated_at":"2023-12-15T10:32:28.988Z","metadata":{"doi":"10.25504/FAIRsharing.BnLUyq","name":"Plant Genome Integrative Explorer","status":"ready","contacts":[{"contact_name":"Nathaniel Street","contact_email":"contact@plantgenie.org","contact_orcid":"0000-0001-6031-005X"}],"homepage":"https://plantgenie.org","citations":[{"doi":"10.1111/nph.13557","pubmed_id":26192091,"publication_id":2663}],"identifier":2867,"description":"The Plant Genome Integrative Explorer is a collection of interoperable web resources for searching, visualising and analysing genomics and transcriptomics data for different plant species. Currently, it includes dedicated web portals for enabling in-depth exploration of Poplar, Eucalyptus Norway spruce, and Arabidopsis and few more plant species. The PlantGenIE platform is based on the GenIE-Sys ( Genome Integrative Explorer System).","abbreviation":"PlantGenIE","data_curation":{"type":"not found"},"support_links":[{"url":"contact@plantgenie.org","name":"Contact PlantGenIE","type":"Support email"},{"url":"https://plantgenie.org/help/tool_id/blast/","name":"Help","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://congenie.org/blast","name":"BLAST"},{"url":"http://congenie.org/citation?genelist=enable","name":"Gene List"},{"url":"http://congenie.org/gbrowse","name":"GBrowse"},{"url":"http://congenie.org/jbrowse","name":"JBrowse"},{"url":"http://congenie.org/random_gene_list","name":"Random Gene List"},{"url":"http://congenie.org/eximage","name":"exImage"},{"url":"http://congenie.org/exnet","name":"exNet"},{"url":"http://congenie.org/explot","name":"exPlot"},{"url":"http://congenie.org/exheatmap","name":"exHeatmap"},{"url":"http://congenie.org/enrichment","name":"Enrichment"},{"url":"http://complex.plantgenie.org/","name":"ComPlEx"},{"url":"http://galaxy.plantgenie.org:8080/","name":"Galaxy"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001368","bsg-d001368"],"name":"FAIRsharing record for: Plant Genome Integrative Explorer","abbreviation":"PlantGenIE","url":"https://fairsharing.org/10.25504/FAIRsharing.BnLUyq","doi":"10.25504/FAIRsharing.BnLUyq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Genome Integrative Explorer is a collection of interoperable web resources for searching, visualising and analysing genomics and transcriptomics data for different plant species. Currently, it includes dedicated web portals for enabling in-depth exploration of Poplar, Eucalyptus Norway spruce, and Arabidopsis and few more plant species. The PlantGenIE platform is based on the GenIE-Sys ( Genome Integrative Explorer System).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Bioinformatics","Phylogenetics"],"domains":["RNA sequence","Gene Ontology enrichment","Genome annotation","Genomic assembly","Genome visualization","Gene expression","Co-expression","RNA sequencing","Sequence alignment","Protein","Quantitative trait loci"],"taxonomies":["Arabidopsis thaliana","Eucalyptus grandis","Picea abies","Picea taeda","Populus trichocarpa"],"user_defined_tags":[],"countries":["Sweden"],"publications":[{"id":2663,"pubmed_id":26192091,"title":"The Plant Genome Integrative Explorer Resource: PlantGenIE.org.","year":2015,"url":"http://doi.org/10.1111/nph.13557","authors":"Sundell D,Mannapperuma C,Netotea S,Delhomme N,Lin YC,Sjodin A,Van de Peer Y,Jansson S,Hvidsten TR,Street NR","journal":"New Phytol","doi":"10.1111/nph.13557","created_at":"2021-09-30T08:27:26.996Z","updated_at":"2021-09-30T08:27:26.996Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1200,"relation":"undefined"}],"grants":[{"id":3643,"fairsharing_record_id":2867,"organisation_id":2904,"relation":"maintains","created_at":"2021-09-30T09:26:22.180Z","updated_at":"2021-09-30T09:26:22.180Z","grant_id":null,"is_lead":true,"saved_state":{"id":2904,"name":"Umea Plant Science Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdUlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ef0ccadcce8bbe77e5d3dd0327cc0a9425a90a28/plantgeine_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2868","type":"fairsharing_records","attributes":{"created_at":"2020-01-06T14:12:57.000Z","updated_at":"2023-12-15T10:32:50.850Z","metadata":{"doi":"10.25504/FAIRsharing.FnkS1A","name":"Drug Database for Inborn Errors of Metabolism","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"http://ddiem.phenomebrowser.net/","identifier":2868,"description":"DDIEM - Drug Database for inborn errors of metabolism is a database on therapeutic strategies for inborn errors of metabolism. These strategies are classified by mechanism and outcome in DDIEM ontology. DDIEM uses this ontology to categorize the experimental treatments that have been proposed or applied. The database includes descriptions of the phenotypes addressed by the treatment and drugs participating in treatment and procedures.","abbreviation":"DDIEM","data_curation":{"url":"http://ddiem.phenomebrowser.net/about","type":"manual"},"support_links":[{"url":"https://github.com/bio-ontology-research-group/DDIEM/issues","name":"Github Issue Tracker","type":"Github"},{"url":"https://github.com/bio-ontology-research-group/DDIEM","name":"GitHub Project","type":"Github"}],"year_creation":2020,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001369","bsg-d001369"],"name":"FAIRsharing record for: Drug Database for Inborn Errors of Metabolism","abbreviation":"DDIEM","url":"https://fairsharing.org/10.25504/FAIRsharing.FnkS1A","doi":"10.25504/FAIRsharing.FnkS1A","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DDIEM - Drug Database for inborn errors of metabolism is a database on therapeutic strategies for inborn errors of metabolism. These strategies are classified by mechanism and outcome in DDIEM ontology. DDIEM uses this ontology to categorize the experimental treatments that have been proposed or applied. The database includes descriptions of the phenotypes addressed by the treatment and drugs participating in treatment and procedures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Biology"],"domains":["Drug","Rare disease","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Saudi Arabia","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1014,"relation":"undefined"}],"grants":[{"id":3645,"fairsharing_record_id":2868,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:26:22.252Z","updated_at":"2021-09-30T09:26:22.252Z","grant_id":null,"is_lead":true,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9136,"fairsharing_record_id":2868,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:16.874Z","updated_at":"2022-04-11T12:07:16.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2869","type":"fairsharing_records","attributes":{"created_at":"2019-12-05T12:37:37.000Z","updated_at":"2023-12-15T10:32:28.738Z","metadata":{"name":"miRwayDB","status":"uncertain","contacts":[{"contact_name":"Nishant Chakravorty","contact_email":"nishant@smst.iitkgp.ernet.in"}],"homepage":"http://www.mirway.iitkgp.ac.in/","citations":[{"doi":"10.1093/database/bay023","pubmed_id":29688364,"publication_id":2641}],"identifier":2869,"description":"miRwayDB provides information on experimentally validated microRNA-pathway associations for pathophysiological conditions. Information includes disease condition, associated microRNAs, experimental sample types, regulation pattern (up/down), and pathway associations. In addition, miRwayDB provides miRNA, gene and pathway scores to evaluate the role of miRNA-regulated pathways in various pathophysiological conditions. We have been unable to contact miRwayDB in order to verify the current status of the resource, and have therefore marked it as Uncertain. If you are a developer of this resource or have any information on how to get in touch with miRwayDB, please let us know.","abbreviation":"miRwayDB","data_curation":{"url":"http://www.mirway.iitkgp.ac.in/home","type":"manual","notes":"The database is regularly updated and delivers complete data from published literature."},"support_links":[{"url":"http://www.mirway.iitkgp.ac.in/contactus","name":"Contact","type":"Contact form"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.mirway.iitkgp.ac.in/submitdata","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001370","bsg-d001370"],"name":"FAIRsharing record for: miRwayDB","abbreviation":"miRwayDB","url":"https://fairsharing.org/fairsharing_records/2869","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: miRwayDB provides information on experimentally validated microRNA-pathway associations for pathophysiological conditions. Information includes disease condition, associated microRNAs, experimental sample types, regulation pattern (up/down), and pathway associations. In addition, miRwayDB provides miRNA, gene and pathway scores to evaluate the role of miRNA-regulated pathways in various pathophysiological conditions. We have been unable to contact miRwayDB in order to verify the current status of the resource, and have therefore marked it as Uncertain. If you are a developer of this resource or have any information on how to get in touch with miRwayDB, please let us know.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Physiology","Pathology"],"domains":["Disease","Pathway model","Micro RNA","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":2641,"pubmed_id":29688364,"title":"miRwayDB: a database for experimentally validated microRNA-pathway associations in pathophysiological conditions.","year":2018,"url":"http://doi.org/10.1093/database/bay023","authors":"Das SS,Saha P,Chakravorty N","journal":"Database (Oxford)","doi":"10.1093/database/bay023","created_at":"2021-09-30T08:27:24.338Z","updated_at":"2021-09-30T08:27:24.338Z"}],"licence_links":[],"grants":[{"id":3647,"fairsharing_record_id":2869,"organisation_id":622,"relation":"maintains","created_at":"2021-09-30T09:26:22.300Z","updated_at":"2021-09-30T09:26:22.300Z","grant_id":null,"is_lead":true,"saved_state":{"id":622,"name":"Cryogenic Engineering Centre, Indian Institute of Technology, Kharagpur, India","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3646,"fairsharing_record_id":2869,"organisation_id":2513,"relation":"maintains","created_at":"2021-09-30T09:26:22.275Z","updated_at":"2021-09-30T09:26:22.275Z","grant_id":null,"is_lead":true,"saved_state":{"id":2513,"name":"School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, India","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3648,"fairsharing_record_id":2869,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:26:22.337Z","updated_at":"2021-09-30T09:26:22.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2856","type":"fairsharing_records","attributes":{"created_at":"2019-11-14T12:25:44.000Z","updated_at":"2023-12-15T10:27:16.535Z","metadata":{"doi":"10.25504/FAIRsharing.2cw3HU","name":"BonaRes Repository","status":"ready","contacts":[{"contact_name":"Carsten Hoffmann","contact_email":"hoffmann@zalf.de","contact_orcid":"0000-0001-6457-4853"}],"homepage":"https://datenzentrum.bonares.de/research-data.php","citations":[{"doi":"https://doi.org/10.1016/j.cageo.2019.07.005","publication_id":2633}],"identifier":2856,"description":"The BonaRes Repository stores soil and agricultural research data from research projects and long-term field experiments which contribute significantly to the analysis of changes of soil and soil functions over the long term. Research data are described by the metadata following the BonaRes Metadata Schema (DOI: 10.20387/bonares-5pgg-8yrp) which combines international recognized standards for the description of geospatial data and research data. Metadata includes AGROVOC keywords.","abbreviation":"BonaRes Rep","data_curation":{"type":"manual"},"support_links":[{"url":"specka@zalf.de","name":"Xenia Specka","type":"Support email"},{"url":"https://datenzentrum.bonares.de/research-data.php","name":"About BonaRes Data Portal","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013470","name":"re3data:r3d100013470","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://tools.bonares.de/doi/download/32/","name":"The BonaRes Data Policy"},"data_deposition_condition":{"url":"https://tools.bonares.de/submission/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001357","bsg-d001357"],"name":"FAIRsharing record for: BonaRes Repository","abbreviation":"BonaRes Rep","url":"https://fairsharing.org/10.25504/FAIRsharing.2cw3HU","doi":"10.25504/FAIRsharing.2cw3HU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BonaRes Repository stores soil and agricultural research data from research projects and long-term field experiments which contribute significantly to the analysis of changes of soil and soil functions over the long term. Research data are described by the metadata following the BonaRes Metadata Schema (DOI: 10.20387/bonares-5pgg-8yrp) which combines international recognized standards for the description of geospatial data and research data. Metadata includes AGROVOC keywords.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Soil Science","Agriculture"],"domains":["Experimental measurement","Centrally registered identifier","Protocol","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2633,"pubmed_id":null,"title":"The BonaRes metadata schema for geospatial soil-agricultural research data – Merging INSPIRE and DataCite metadata schemes","year":2019,"url":"http://doi.org/https://doi.org/10.1016/j.cageo.2019.07.005","authors":"Specka, X.;Gärtner, P.; Hoffmann, C.; Svoboda, N.,; Stecker, M.; Einspanier, U.; Senkler, K.; Zoarder, M.A.M.; Heinrich, U.","journal":"Computer \u0026 Geosciences","doi":"https://doi.org/10.1016/j.cageo.2019.07.005","created_at":"2021-09-30T08:27:23.346Z","updated_at":"2021-09-30T08:27:23.346Z"}],"licence_links":[{"licence_name":"Creative Commons (CC) Copyright-Only Dedication (based on United States law) or Public Domain Certification","licence_id":197,"licence_url":"https://creativecommons.org/licenses/publicdomain/","link_id":2267,"relation":"undefined"}],"grants":[{"id":3618,"fairsharing_record_id":2856,"organisation_id":295,"relation":"maintains","created_at":"2021-09-30T09:26:21.415Z","updated_at":"2021-09-30T09:26:21.415Z","grant_id":null,"is_lead":false,"saved_state":{"id":295,"name":"BonaRes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3619,"fairsharing_record_id":2856,"organisation_id":1695,"relation":"maintains","created_at":"2021-09-30T09:26:21.456Z","updated_at":"2021-09-30T09:26:21.456Z","grant_id":null,"is_lead":false,"saved_state":{"id":1695,"name":"Leibniz Centre for Agricultural Landscape Research (ZALF), Muencheberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2857","type":"fairsharing_records","attributes":{"created_at":"2019-11-14T16:19:31.000Z","updated_at":"2023-06-22T17:30:35.890Z","metadata":{"doi":"10.25504/FAIRsharing.q9VUYM","name":"BBMRI-ERIC Directory","status":"ready","contacts":[{"contact_name":"Petr Holub","contact_email":"petr.holub@bbmri-eric.eu","contact_orcid":"0000-0002-5358-616X"}],"homepage":"https://directory.bbmri-eric.eu/","citations":[{"doi":"10.1089/bio.2016.0088","pubmed_id":27936342,"publication_id":2635}],"identifier":2857,"description":"The BBMRI-ERIC Directory is a tool to share aggregate information about biobanks across Europe. The Directory welcomes new biobanks to join and publish information about themselves, including their contact information in the directory. The BBMRI-ERIC Directory can help researchers find relevant biobanks, get their contact information and identify appropriate infrastructure for the storage of samples for research purposes.","abbreviation":null,"data_curation":{"url":"https://zenodo.org/record/7688105/files/BBMRI-ERIC%20Directory%20-%20Data%20Manager%20Manual%20-%20Revision%203.6.7.pdf?download=1","type":"none"},"support_links":[{"url":"https://directory.bbmri-eric.eu/menu/main/references","name":"Manuals","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://github.com/BBMRI-ERIC/directory-scripts","name":"Directory scripting tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013028","name":"re3data:r3d100013028","portal":"re3data"}],"data_access_condition":{"url":"https://zenodo.org/record/3559488/files/BBMRI-ERIC%20Directory%20User%20Manual_v2.pdf?download=1","type":"open","notes":"All metadata openly available, with underlying samples available by request."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://directory.bbmri-eric.eu/menu/main/references","type":"controlled","notes":"Deposition by member biobanks only."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001358","bsg-d001358"],"name":"FAIRsharing record for: BBMRI-ERIC Directory","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.q9VUYM","doi":"10.25504/FAIRsharing.q9VUYM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BBMRI-ERIC Directory is a tool to share aggregate information about biobanks across Europe. The Directory welcomes new biobanks to join and publish information about themselves, including their contact information in the directory. The BBMRI-ERIC Directory can help researchers find relevant biobanks, get their contact information and identify appropriate infrastructure for the storage of samples for research purposes.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17644},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11414},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12335},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12860},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16375}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Life Science","Human Biology"],"domains":["Biobank","Biological sample","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Bulgaria","Cyprus","Czech Republic","Estonia","Finland","Germany","Greece","Hungary","Italy","Latvia","Lithuania","Malta","Netherlands","Norway","Poland","Slovenia","Spain","Sweden","Switzerland","Turkey","United Kingdom","European Union"],"publications":[{"id":2635,"pubmed_id":27936342,"title":"BBMRI-ERIC Directory: 515 Biobanks with Over 60 Million Biological Samples","year":2016,"url":"http://doi.org/10.1089/bio.2016.0088","authors":"Petr Holub, Morris Swertz, Robert Reihs, David van Enckevort, Heimo Müller, and Jan-Eric Litton","journal":"Biopreservation and Biobanking","doi":"10.1089/bio.2016.0088","created_at":"2021-09-30T08:27:23.638Z","updated_at":"2021-09-30T08:27:23.638Z"}],"licence_links":[],"grants":[{"id":3620,"fairsharing_record_id":2857,"organisation_id":182,"relation":"maintains","created_at":"2021-09-30T09:26:21.495Z","updated_at":"2021-09-30T09:26:21.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":182,"name":"BBMRI-ERIC national nodes, Graz, Austria","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8772,"fairsharing_record_id":2857,"organisation_id":181,"relation":"maintains","created_at":"2022-02-02T15:14:17.986Z","updated_at":"2022-02-03T16:41:32.479Z","grant_id":null,"is_lead":true,"saved_state":{"id":181,"name":"BBMRI-ERIC","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":8781,"fairsharing_record_id":2857,"organisation_id":220,"relation":"maintains","created_at":"2022-02-03T16:41:32.394Z","updated_at":"2022-02-03T16:41:32.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":220,"name":"Biobanking and Biomolecular Resources Research Infrastructure (BBMRI), The Netherlands","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2858","type":"fairsharing_records","attributes":{"created_at":"2019-11-14T16:24:59.000Z","updated_at":"2023-12-15T10:29:32.221Z","metadata":{"doi":"10.25504/FAIRsharing.N4a3Pj","name":"BBMRI-ERIC CRC-Cohort","status":"ready","contacts":[{"contact_name":"Petr Holub","contact_email":"petr.holub@bbmri-eric.eu","contact_orcid":"0000-0002-5358-616X"}],"homepage":"http://www.bbmri-eric.eu/scientific-collaboration/colorectal-cancer-cohort/","citations":[],"identifier":2858,"description":"The colorectal cancer cohort (CRC-Cohort) is developed within the EU-funded project ADOPT BBMRI-ERIC (H2020) as a use case for piloting access to European biobanks. The CRC-Cohort is developed by BBMRI-ERIC, its National Nodes and BBMRI-ERIC partner biobanks, and it will become a permanent asset of the BBMRI-ERIC infrastructure after the end of the ADOPT project. The CRC-Cohort collection is a joint long-term European endeavor, which enables existing, well-established biobanks to connect with BBMRI-ERIC and obtain increased recognition and visibility along with new users and data. The CRC-Cohort is expected to enable high-quality research and innovation to improve colorectal cancer treatment. The cohort should enable a large spectrum of different types of research and is therefore not restricted to any specific research question. The procedures and IT tools developed within the CRC-Cohort are expected to be reusable for similar future efforts on different disease entities implemented using BBMRI-ERIC as an infrastructure.","abbreviation":"CRC-Cohort","data_curation":{"url":"https://www.bbmri-eric.eu/services/access-policies/","type":"manual/automated","notes":"Access Committee checks and asses all the data."},"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://negotiator.bbmri-eric.eu/login.xhtml","name":"BBMRI-ERIC Negotiator"}],"data_access_condition":{"url":"https://www.bbmri-eric.eu/wp-content/uploads/AoM_10_8_Access-Policy_FINAL_EU.pdf","type":"controlled","notes":"BBMRI-ERIC Policy for Access to and Sharing of Biological Samples and Data."},"resource_sustainability":{"url":"https://www.bbmri-eric.eu/eu-grants/","name":"EU Grants"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.bbmri-eric.eu/wp-content/uploads/AoM_10_8_Access-Policy_FINAL_EU.pdf","type":"controlled","notes":"BBMRI-ERIC Policy for Access to and Sharing of Biological Samples and Data."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001359","bsg-d001359"],"name":"FAIRsharing record for: BBMRI-ERIC CRC-Cohort","abbreviation":"CRC-Cohort","url":"https://fairsharing.org/10.25504/FAIRsharing.N4a3Pj","doi":"10.25504/FAIRsharing.N4a3Pj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The colorectal cancer cohort (CRC-Cohort) is developed within the EU-funded project ADOPT BBMRI-ERIC (H2020) as a use case for piloting access to European biobanks. The CRC-Cohort is developed by BBMRI-ERIC, its National Nodes and BBMRI-ERIC partner biobanks, and it will become a permanent asset of the BBMRI-ERIC infrastructure after the end of the ADOPT project. The CRC-Cohort collection is a joint long-term European endeavor, which enables existing, well-established biobanks to connect with BBMRI-ERIC and obtain increased recognition and visibility along with new users and data. The CRC-Cohort is expected to enable high-quality research and innovation to improve colorectal cancer treatment. The cohort should enable a large spectrum of different types of research and is therefore not restricted to any specific research question. The procedures and IT tools developed within the CRC-Cohort are expected to be reusable for similar future efforts on different disease entities implemented using BBMRI-ERIC as an infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17643},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11415}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Health Science","Life Science","Human Biology","Pathology"],"domains":["Biobank","Cancer","Histology"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Digital pathology"],"countries":["Austria","Belgium","Cyprus","Czech Republic","Finland","Germany","Italy","Malta","Poland","Switzerland","United Kingdom","European Union"],"publications":[],"licence_links":[{"licence_name":"BBMRI-ERIC Policy for Access to and Sharing of Biological Samples and Data","licence_id":58,"licence_url":"https://doi.org/10.5281/zenodo.1241061","link_id":1457,"relation":"undefined"}],"grants":[{"id":3621,"fairsharing_record_id":2858,"organisation_id":181,"relation":"funds","created_at":"2021-09-30T09:26:21.527Z","updated_at":"2021-09-30T09:32:50.547Z","grant_id":1801,"is_lead":false,"saved_state":{"id":181,"name":"BBMRI-ERIC","grant":"676550","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2859","type":"fairsharing_records","attributes":{"created_at":"2019-11-19T15:04:40.000Z","updated_at":"2023-12-15T10:32:41.855Z","metadata":{"doi":"10.25504/FAIRsharing.dOFQ7p","name":"Cyclebase","status":"ready","contacts":[{"contact_name":"Lars Juhl Jensen","contact_email":"lars.juhl.jensen@cpr.ku.dk"}],"homepage":"https://cyclebase.org/CyclebaseSearch","citations":[{"doi":"10.1093/nar/gku1092","pubmed_id":25378319,"publication_id":2630}],"identifier":2859,"description":"Cyclebase is a database to visualize and download results from genome-wide cell-cycle-related experiments. In addition to genome annotation, Cyclebase also provides mRNA data, protein expression data, and integrated cell-cycle phenotype information from high-content screens and model organism databases.","abbreviation":"Cyclebase","data_curation":{"type":"not found"},"support_links":[{"url":"https://cyclebase.org/About","name":"About","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001360","bsg-d001360"],"name":"FAIRsharing record for: Cyclebase","abbreviation":"Cyclebase","url":"https://fairsharing.org/10.25504/FAIRsharing.dOFQ7p","doi":"10.25504/FAIRsharing.dOFQ7p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cyclebase is a database to visualize and download results from genome-wide cell-cycle-related experiments. In addition to genome annotation, Cyclebase also provides mRNA data, protein expression data, and integrated cell-cycle phenotype information from high-content screens and model organism databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Bioinformatics"],"domains":["Model organism","Cell cycle","Post-translational protein modification","Protein expression","Phenotype","Messenger RNA","Genome"],"taxonomies":["Arabidopsis thaliana","Homo sapiens","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":2630,"pubmed_id":25378319,"title":"Cyclebase 3.0: a multi-organism database on cell-cycle regulation and phenotypes.","year":2014,"url":"http://doi.org/10.1093/nar/gku1092","authors":"Santos A,Wernersson R,Jensen LJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1092","created_at":"2021-09-30T08:27:22.893Z","updated_at":"2021-09-30T11:29:40.821Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1018,"relation":"undefined"}],"grants":[{"id":3622,"fairsharing_record_id":2859,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:26:21.563Z","updated_at":"2021-09-30T09:26:21.563Z","grant_id":null,"is_lead":true,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2847","type":"fairsharing_records","attributes":{"created_at":"2019-11-04T17:22:43.000Z","updated_at":"2023-12-15T10:28:01.690Z","metadata":{"doi":"10.25504/FAIRsharing.ZPRtfG","name":"Agronomic Linked Data","status":"ready","contacts":[{"contact_name":"Pierre Larmande","contact_email":"Pierre.larmande@ird.fr","contact_orcid":"0000-0002-2923-9790"}],"homepage":"http://www.agrold.org/","citations":[{"doi":"10.1371/journal.pone.0198270","pubmed_id":30500839,"publication_id":2610}],"identifier":2847,"description":"The Agronomic Linked Data (AgroLD) is a knowledge-based system relying on Semantic Web technologies and exploiting standard domain ontologies, which integrates data about plant species of high interest for the plant science community. AgroLD is an RDF knowledge base of 100M triples created by annotating and integrating more than 50 datasets from 10 data sources and linked using 10 ontologies.","abbreviation":"AgroLD","data_curation":{"type":"not found"},"support_links":[{"url":"http://agrold.southgreen.fr/agrold/survey.jsp","name":"Send feedback","type":"Contact form"},{"url":"http://agrold.southgreen.fr/agrold/documentation.jsp","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/agro_ld","name":"@agro_ld","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","associated_tools":[{"url":"http://agrold.southgreen.fr/agrold/relfinder.jsp","name":"Explore Relationships / Network"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001348","bsg-d001348"],"name":"FAIRsharing record for: Agronomic Linked Data","abbreviation":"AgroLD","url":"https://fairsharing.org/10.25504/FAIRsharing.ZPRtfG","doi":"10.25504/FAIRsharing.ZPRtfG","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agronomic Linked Data (AgroLD) is a knowledge-based system relying on Semantic Web technologies and exploiting standard domain ontologies, which integrates data about plant species of high interest for the plant science community. AgroLD is an RDF knowledge base of 100M triples created by annotating and integrating more than 50 datasets from 10 data sources and linked using 10 ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16740}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Genetics","Agronomy","Life Science","Plant Genetics"],"domains":["Phenotype","Protein","Pathway model","Gene","Germplasm"],"taxonomies":["Arabidopsis thaliana","Oryza barthii","Oryza brachyantha","Oryza glaberrima","Oryza meridionalis","Oryza sativa","Oryza sativa L. ssp. Indica","Oryza sativa L. ssp. japonica","Sorghum bicolor","Triticum aestivum","Triticum urartu"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["China","France"],"publications":[{"id":2610,"pubmed_id":30500839,"title":"Agronomic Linked Data (AgroLD): A knowledge-based system to enable integrative biology in agronomy.","year":2018,"url":"http://doi.org/10.1371/journal.pone.0198270","authors":"Venkatesan A,Tagny Ngompe G,Hassouni NE,Chentli I,Guignon V,Jonquet C,Ruiz M,Larmande P","journal":"PLoS One","doi":"10.1371/journal.pone.0198270","created_at":"2021-09-30T08:27:20.404Z","updated_at":"2021-09-30T08:27:20.404Z"}],"licence_links":[],"grants":[{"id":3599,"fairsharing_record_id":2847,"organisation_id":1441,"relation":"funds","created_at":"2021-09-30T09:26:20.755Z","updated_at":"2021-09-30T09:26:20.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":1441,"name":"Institut Francais de Bioinformatique (IFB, French Institute of Bioinformatics), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3598,"fairsharing_record_id":2847,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:26:20.738Z","updated_at":"2021-09-30T09:26:20.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3600,"fairsharing_record_id":2847,"organisation_id":1373,"relation":"maintains","created_at":"2021-09-30T09:26:20.773Z","updated_at":"2021-09-30T09:26:20.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":1373,"name":"Institut de Recherche pour le Developpement (IRD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3601,"fairsharing_record_id":2847,"organisation_id":488,"relation":"funds","created_at":"2021-09-30T09:26:20.799Z","updated_at":"2021-09-30T09:26:20.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":488,"name":"CGIAR Research Program on Rice","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2850","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T15:04:14.000Z","updated_at":"2023-12-15T10:30:17.551Z","metadata":{"doi":"10.25504/FAIRsharing.V52Eqe","name":"PolyASite","status":"ready","contacts":[{"contact_name":"Mihaela Zavolan","contact_email":"polyasite-biozentrum@unibas.ch"}],"homepage":"https://polyasite.unibas.ch/","citations":[{"doi":"10.1093/nar/gkz918","pubmed_id":31617559,"publication_id":2625}],"identifier":2850,"description":"Alternative cleavage and polyadenylation (APA) of RNAs gives rise to isoforms with different terminal exons, which in turn determine the fate of the RNA and the encoded protein. APA has thus been implicated in the regulation of cell proliferation, differentiation and disease development. PolyASite is a portal to the curated set of poly(A) sites inferred from publicly available 3’ end sequencing datasets. It allows efficient finding, exploration and export of poly(A) sites in several organisms. In constructing our poly(A) site atlas, we applied uniform quality measures, including the flagging of putative internal priming sites, to input datasets originating from different 3’ end sequencing techniques, cell types or tissues. Through integrated processing of all data, we identified and clustered sites that are closely spaced and share polyadenylation signals, as these are likely the result of stochastic variations in processing. For each cluster, we identified the representative - most frequently processed - site and estimated the relative use in the transcriptome across all samples. While other existing alternative polyadenylation databases rely on a single experimental method, or on poly(A) site estimation from RNA-seq data, PolyASite is built on data from several 3’ end sequencing techniques. This allows a broader coverage of cell types and poly(A) sites to support further genomics studies.","abbreviation":"PolyASite","data_curation":{"type":"manual/automated"},"support_links":[{"url":"polyasite-biozentrum@unibas.ch","name":"polyasite-biozentrum@unibas.ch","type":"Support email"},{"url":"https://polyasite.unibas.ch/protocols","name":"Protocols","type":"Help documentation"},{"url":"https://polyasite.unibas.ch/about","name":"About","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/zavolanlab/PAQR_KAPAC","name":"PAQR / KAPAC"},{"url":"https://github.com/zavolanlab/TECtool","name":"TECtool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://polyasite.unibas.ch/","type":"open","notes":"Users can make suggestions by email to improve the resource"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001351","bsg-d001351"],"name":"FAIRsharing record for: PolyASite","abbreviation":"PolyASite","url":"https://fairsharing.org/10.25504/FAIRsharing.V52Eqe","doi":"10.25504/FAIRsharing.V52Eqe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Alternative cleavage and polyadenylation (APA) of RNAs gives rise to isoforms with different terminal exons, which in turn determine the fate of the RNA and the encoded protein. APA has thus been implicated in the regulation of cell proliferation, differentiation and disease development. PolyASite is a portal to the curated set of poly(A) sites inferred from publicly available 3’ end sequencing datasets. It allows efficient finding, exploration and export of poly(A) sites in several organisms. In constructing our poly(A) site atlas, we applied uniform quality measures, including the flagging of putative internal priming sites, to input datasets originating from different 3’ end sequencing techniques, cell types or tissues. Through integrated processing of all data, we identified and clustered sites that are closely spaced and share polyadenylation signals, as these are likely the result of stochastic variations in processing. For each cluster, we identified the representative - most frequently processed - site and estimated the relative use in the transcriptome across all samples. While other existing alternative polyadenylation databases rely on a single experimental method, or on poly(A) site estimation from RNA-seq data, PolyASite is built on data from several 3’ end sequencing techniques. This allows a broader coverage of cell types and poly(A) sites to support further genomics studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12859}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Genetics","Transcriptomics"],"domains":["Expression data","Ribonucleic acid","RNA polyadenylation","RNA sequencing","Transcript"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2625,"pubmed_id":31617559,"title":"PolyASite 2.0: a consolidated atlas of polyadenylation sites from 3' end sequencing.","year":2019,"url":"http://doi.org/10.1093/nar/gkz918","authors":"Herrmann CJ,Schmidt R,Kanitz A,Artimo P,Gruber AJ,Zavolan M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz918","created_at":"2021-09-30T08:27:22.310Z","updated_at":"2021-09-30T11:29:40.729Z"}],"licence_links":[],"grants":[{"id":3606,"fairsharing_record_id":2850,"organisation_id":284,"relation":"maintains","created_at":"2021-09-30T09:26:20.912Z","updated_at":"2021-09-30T09:26:20.912Z","grant_id":null,"is_lead":true,"saved_state":{"id":284,"name":"Biozentrum, University of Basel, Basel, Switzerland","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2851","type":"fairsharing_records","attributes":{"created_at":"2019-11-08T21:48:50.000Z","updated_at":"2024-07-08T10:14:16.238Z","metadata":{"doi":"10.25504/FAIRsharing.sbikSF","name":"Duke Research Data Repository","status":"ready","contacts":[{"contact_email":"datamanagement@duke.edu"}],"homepage":"https://research.repository.duke.edu/","citations":[],"identifier":2851,"description":"The Research Data Repository is a service of the Duke University Libraries that provides curation, access, and preservation of research data produced by the Duke community. The Duke Research Data Repository accepts data, documentation, software, and other code related to the teaching and research mission of Duke University, including data linked to a publication, research project, and/or class projects. Data deposit is open to all members of the Duke Community with a valid netid. All data are openly accessible for direct download. All data go through a curation process to help ensure data are well described, in a structure and format that supports long-term preservation, and generally meet the FAIR Guiding Principles for data (i.e., Findable, Accessible, Interoperable, and Reusable). All data and documentation are openly accessible for download unless under embargo.","abbreviation":"Duke RDR","data_curation":{"url":"https://duke.app.box.com/v/RDR-curation-checklist","type":"manual","notes":"All data deposited with the RDR will be reviewed by repository curation staff to assist with readying the data for sharing."},"support_links":[{"url":"https://research.repository.duke.edu/about?locale=en","name":"Duke Research Data Repository Policies","type":"Help documentation"},{"url":"https://research.repository.duke.edu/help?locale=en","name":"Duke Research Data Repository Submission Guidelines","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013154","name":"re3data:r3d100013154","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://research.repository.duke.edu/help#submission","type":"controlled","notes":"Data deposit is only open to members of the Duke Community."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001352","bsg-d001352"],"name":"FAIRsharing record for: Duke Research Data Repository","abbreviation":"Duke RDR","url":"https://fairsharing.org/10.25504/FAIRsharing.sbikSF","doi":"10.25504/FAIRsharing.sbikSF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Research Data Repository is a service of the Duke University Libraries that provides curation, access, and preservation of research data produced by the Duke community. The Duke Research Data Repository accepts data, documentation, software, and other code related to the teaching and research mission of Duke University, including data linked to a publication, research project, and/or class projects. Data deposit is open to all members of the Duke Community with a valid netid. All data are openly accessible for direct download. All data go through a curation process to help ensure data are well described, in a structure and format that supports long-term preservation, and generally meet the FAIR Guiding Principles for data (i.e., Findable, Accessible, Interoperable, and Reusable). All data and documentation are openly accessible for download unless under embargo.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["institutional repository","Open Access","Open Science"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1139,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1140,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1141,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1142,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1143,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1138,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1144,"relation":"undefined"},{"licence_name":"Creative Commons (CC) Public Domain Mark (PDM)","licence_id":198,"licence_url":"https://creativecommons.org/share-your-work/public-domain/pdm/","link_id":1145,"relation":"undefined"}],"grants":[{"id":3607,"fairsharing_record_id":2851,"organisation_id":788,"relation":"maintains","created_at":"2021-09-30T09:26:20.942Z","updated_at":"2021-09-30T09:26:20.942Z","grant_id":null,"is_lead":false,"saved_state":{"id":788,"name":"Duke University Libraries","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbGdFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--2e7f2da02b9f1a3813bd98ad9a80b0cf38f0e642/Screenshot%20from%202024-05-13%2011-47-11.png?disposition=inline","exhaustive_licences":true}},{"id":"2852","type":"fairsharing_records","attributes":{"created_at":"2019-11-11T14:42:27.000Z","updated_at":"2023-12-15T10:31:06.716Z","metadata":{"doi":"10.25504/FAIRsharing.e4abce","name":"PrimesDB","status":"ready","contacts":[{"contact_name":"Professor David Lynn","contact_email":"david.lynn@sahmri.com"}],"homepage":"http://primesdb.org/","identifier":2852,"description":"PRIMESDB is a systems biology platform that is being developed to enable the collection, integration and analysis of state-of-the-art genomics, proteomics and mathematical modelling data being generated by the PRIMES project. PRIMES is investigating the role of protein interaction machines in oncogenic signalling with a particular focus on the EGFR network. PRIMESDB provides a centralised knowledgebase and analysis platform for cancer protein interaction networks.","abbreviation":"PrimesDB","data_curation":{"type":"manual"},"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001353","bsg-d001353"],"name":"FAIRsharing record for: PrimesDB","abbreviation":"PrimesDB","url":"https://fairsharing.org/10.25504/FAIRsharing.e4abce","doi":"10.25504/FAIRsharing.e4abce","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRIMESDB is a systems biology platform that is being developed to enable the collection, integration and analysis of state-of-the-art genomics, proteomics and mathematical modelling data being generated by the PRIMES project. PRIMES is investigating the role of protein interaction machines in oncogenic signalling with a particular focus on the EGFR network. PRIMESDB provides a centralised knowledgebase and analysis platform for cancer protein interaction networks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology"],"domains":["Protein interaction","Cancer","Drug metabolic process","Signaling","Drug interaction","Pathway model","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":3608,"fairsharing_record_id":2852,"organisation_id":1737,"relation":"maintains","created_at":"2021-09-30T09:26:20.967Z","updated_at":"2021-09-30T09:26:20.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":1737,"name":"Lynn Group, EMBL Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3609,"fairsharing_record_id":2852,"organisation_id":1989,"relation":"funds","created_at":"2021-09-30T09:26:20.995Z","updated_at":"2021-09-30T09:26:20.995Z","grant_id":null,"is_lead":false,"saved_state":{"id":1989,"name":"National eResearch Collaboration Tools and Resources project (NeCTAR), Victoria, Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3610,"fairsharing_record_id":2852,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:21.038Z","updated_at":"2021-09-30T09:32:09.270Z","grant_id":1492,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7-HEALTH-2011-278568","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2854","type":"fairsharing_records","attributes":{"created_at":"2019-11-12T13:32:59.000Z","updated_at":"2023-06-22T16:18:39.744Z","metadata":{"doi":"10.25504/FAIRsharing.uxwZ3f","name":"LocustMine","status":"deprecated","contacts":[{"contact_name":"Pengcheng Yang","contact_email":"yangpc@biols.ac.cn","contact_orcid":"0000-0001-5496-8357"}],"homepage":"http://locustmine.org:8080/locustmine/begin.do","citations":[{"doi":"10.1007/s13238-019-0648-6","pubmed_id":31292921,"publication_id":648}],"identifier":2854,"description":"An integrated Omics data warehouse for Locust, Locusta migratoria.\n","abbreviation":"LocustMine","data_curation":{"type":"not found"},"year_creation":2019,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001355","bsg-d001355"],"name":"FAIRsharing record for: LocustMine","abbreviation":"LocustMine","url":"https://fairsharing.org/10.25504/FAIRsharing.uxwZ3f","doi":"10.25504/FAIRsharing.uxwZ3f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated Omics data warehouse for Locust, Locusta migratoria.\n","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11697}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Bioinformatics","Transcriptomics"],"domains":["Expression data","Gene functional annotation","Protein interaction","Gene expression","Biological regulation","Gene","Homologous","Genome"],"taxonomies":["Locusta migratoria"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":648,"pubmed_id":31292921,"title":"Core transcriptional signatures of phase change in the migratory locust.","year":2019,"url":"http://doi.org/10.1007/s13238-019-0648-6","authors":"Yang P,Hou L,Wang X,Kang L","journal":"Protein Cell","doi":"10.1007/s13238-019-0648-6","created_at":"2021-09-30T08:23:31.311Z","updated_at":"2021-09-30T08:23:31.311Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":194,"relation":"undefined"}],"grants":[{"id":3616,"fairsharing_record_id":2854,"organisation_id":820,"relation":"maintains","created_at":"2021-09-30T09:26:21.289Z","updated_at":"2021-09-30T09:26:21.289Z","grant_id":null,"is_lead":true,"saved_state":{"id":820,"name":"Ecological Genomic and Adaptation Group, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2870","type":"fairsharing_records","attributes":{"created_at":"2019-12-05T13:20:31.000Z","updated_at":"2023-12-15T10:31:38.638Z","metadata":{"doi":"10.25504/FAIRsharing.yXPvpU","name":"TISSUES","status":"ready","contacts":[{"contact_name":"Jan Gorodkin","contact_email":"gorodkin@rth.dk"}],"homepage":"https://tissues.jensenlab.org/Search","citations":[{"doi":"10.1093/database/bay003","pubmed_id":29617745,"publication_id":2647}],"identifier":2870,"description":"TISSUES is a weekly updated web resource that integrates evidence on tissue expression from manually curated literature, proteomics and transcriptomics screens, and automatic text mining. All evidence to common protein identifiers and Brenda Tissue Ontology terms is mapped, and confidence scores that facilitate comparison of the different types and sources of evidence are assigned. These scores are visualized on a schematic human body to provide a convenient overview.","abbreviation":"TISSUES","data_curation":{"url":"https://tissues.jensenlab.org/About","type":"manual/automated","notes":"Data comes from manually curated literature, proteomics and transcriptomics screens, and automatic text mining."},"support_links":[{"url":"lars.juhl.jensen@cpr.ku.dk","name":"Lars Juhl Jensen","type":"Support email"},{"url":"https://tissues.jensenlab.org/About","name":"About","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001371","bsg-d001371"],"name":"FAIRsharing record for: TISSUES","abbreviation":"TISSUES","url":"https://fairsharing.org/10.25504/FAIRsharing.yXPvpU","doi":"10.25504/FAIRsharing.yXPvpU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TISSUES is a weekly updated web resource that integrates evidence on tissue expression from manually curated literature, proteomics and transcriptomics screens, and automatic text mining. All evidence to common protein identifiers and Brenda Tissue Ontology terms is mapped, and confidence scores that facilitate comparison of the different types and sources of evidence are assigned. These scores are visualized on a schematic human body to provide a convenient overview.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12863}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Proteomics","Transcriptomics"],"domains":["Expression data","Text mining","Gene expression","RNA sequencing","DNA microarray"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Sus scrofa"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":2647,"pubmed_id":29617745,"title":"TISSUES 2.0: an integrative web resource on mammalian tissue expression.","year":2018,"url":"http://doi.org/10.1093/database/bay003","authors":"Palasca O,Santos A,Stolte C,Gorodkin J,Jensen LJ","journal":"Database (Oxford)","doi":"10.1093/database/bay003","created_at":"2021-09-30T08:27:25.046Z","updated_at":"2021-09-30T08:27:25.046Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1504,"relation":"undefined"}],"grants":[{"id":3652,"fairsharing_record_id":2870,"organisation_id":568,"relation":"maintains","created_at":"2021-09-30T09:26:22.493Z","updated_at":"2021-09-30T09:26:22.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3650,"fairsharing_record_id":2870,"organisation_id":2197,"relation":"funds","created_at":"2021-09-30T09:26:22.422Z","updated_at":"2021-09-30T09:29:54.493Z","grant_id":462,"is_lead":false,"saved_state":{"id":2197,"name":"Novo Nordisk Foundation, Denmark","grant":"NNF14CC0001","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3655,"fairsharing_record_id":2870,"organisation_id":638,"relation":"funds","created_at":"2021-09-30T09:26:22.593Z","updated_at":"2021-09-30T09:32:03.062Z","grant_id":1446,"is_lead":false,"saved_state":{"id":638,"name":"Danish Council for Independent Research, Denmark","grant":"DFF-4005-00443","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3649,"fairsharing_record_id":2870,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:26:22.380Z","updated_at":"2021-09-30T09:26:22.380Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3653,"fairsharing_record_id":2870,"organisation_id":568,"relation":"funds","created_at":"2021-09-30T09:26:22.525Z","updated_at":"2021-09-30T09:26:22.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3654,"fairsharing_record_id":2870,"organisation_id":431,"relation":"maintains","created_at":"2021-09-30T09:26:22.561Z","updated_at":"2021-09-30T09:26:22.561Z","grant_id":null,"is_lead":false,"saved_state":{"id":431,"name":"Center for non-coding RNA in Technology and Health (RTH), Department of Veterinary and Animal Sciences, Faculty for Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3656,"fairsharing_record_id":2870,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:22.627Z","updated_at":"2021-09-30T09:29:45.594Z","grant_id":389,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 CA189205 and U24 224370","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3651,"fairsharing_record_id":2870,"organisation_id":1354,"relation":"funds","created_at":"2021-09-30T09:26:22.462Z","updated_at":"2021-09-30T09:30:51.111Z","grant_id":901,"is_lead":false,"saved_state":{"id":1354,"name":"Innovation Fund Denmark","grant":"0603-00320B","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2871","type":"fairsharing_records","attributes":{"created_at":"2019-12-05T13:57:18.000Z","updated_at":"2023-12-15T10:31:23.997Z","metadata":{"doi":"10.25504/FAIRsharing.83bf78","name":"LEAFDATA","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@leafdata.org"}],"homepage":"http://www.leafdata.org/","citations":[{"doi":"10.1186/s13007-016-0115-9","pubmed_id":26884807,"publication_id":1057}],"identifier":2871,"description":"The LEAFDATA resource collects information from primary research articles focusing on Arabidopsis leaf growth and development. The result section of selected papers is manually annotated and organized into distinct categories. Text fragments of the manuscripts are displayed with links to the original papers on PubMed.","abbreviation":"LEAFDATA","data_curation":{"url":"http://www.leafdata.org/Aboutus.cfm","type":"manual/automated"},"support_links":[{"url":"http://www.leafdata.org/contactus.cfm","name":"Contact Form","type":"Contact form"},{"url":"dszakonyi@igc.gulbenkian.pt","name":"Dra Szakonyi","type":"Support email"},{"url":"http://www.leafdata.org/faq.cfm","name":"LEAFDATA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.leafdata.org/news.cfm","name":"News","type":"Help documentation"},{"url":"http://www.leafdata.org/Aboutus.cfm","name":"About","type":"Help documentation"},{"url":"https://twitter.com/InfoLeafdata","name":"@InfoLeafdata","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001372","bsg-d001372"],"name":"FAIRsharing record for: LEAFDATA","abbreviation":"LEAFDATA","url":"https://fairsharing.org/10.25504/FAIRsharing.83bf78","doi":"10.25504/FAIRsharing.83bf78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LEAFDATA resource collects information from primary research articles focusing on Arabidopsis leaf growth and development. The result section of selected papers is manually annotated and organized into distinct categories. Text fragments of the manuscripts are displayed with links to the original papers on PubMed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Bioinformatics","Genetics","Plant Anatomy","Plant Genetics"],"domains":["Expression data","Protein interaction","Biological process","Gene expression","Regulation of gene expression","Genetic interaction","Gene feature","Phenotype"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Portugal"],"publications":[{"id":1057,"pubmed_id":26884807,"title":"LEAFDATA: a literature-curated database for Arabidopsis leaf development.","year":2016,"url":"http://doi.org/10.1186/s13007-016-0115-9","authors":"Szakonyi D","journal":"Plant Methods","doi":"10.1186/s13007-016-0115-9","created_at":"2021-09-30T08:24:17.056Z","updated_at":"2021-09-30T08:24:17.056Z"}],"licence_links":[],"grants":[{"id":3657,"fairsharing_record_id":2871,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:26:22.652Z","updated_at":"2021-09-30T09:30:30.082Z","grant_id":737,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LSHG-CT-2006-037704","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9390,"fairsharing_record_id":2871,"organisation_id":1450,"relation":"maintains","created_at":"2022-04-11T12:07:35.171Z","updated_at":"2022-04-11T12:07:35.171Z","grant_id":null,"is_lead":true,"saved_state":{"id":1450,"name":"Instituto Gulbenkian de Ciencia Oeiras, Lisboa, Portugal","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2873","type":"fairsharing_records","attributes":{"created_at":"2019-12-10T13:11:26.000Z","updated_at":"2023-12-15T10:33:12.250Z","metadata":{"doi":"10.25504/FAIRsharing.83jovl","name":"T-psi-C","status":"ready","contacts":[{"contact_name":"Marcin Sajek","contact_email":"marcin.sajek@igcz.poznan.pl","contact_orcid":"0000-0002-4115-4191"}],"homepage":"http://tpsic.igcz.poznan.pl/","citations":[{"doi":"10.1093/nar/gkz922","pubmed_id":31624839,"publication_id":2651}],"identifier":2873,"description":"T-psi-C is a database of tRNA sequences and 3D tRNA structures. The T-psi-C database can be continuously updated by any member of the scientific community.","abbreviation":"tpsic","data_curation":{"type":"manual","notes":"see doi:10.1093/nar/gkz922"},"support_links":[{"url":"http://tpsic.igcz.poznan.pl/info/about/","name":"About","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://www.elastic.co/","name":"Elasticsearch -"},{"url":"ftp://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/LATEST","name":"BLAST+ 2.7.1"},{"url":"https://www.tbi.univie.ac.at/RNA/ViennaRNA/doc/html/wrappers.html","name":"RNAlib 2.4.14"}],"data_access_condition":{"url":"https://tpsic.igcz.poznan.pl/trna/trna-detail/1/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://tpsic.igcz.poznan.pl/accounts/login/?next=/trna/trna-deposition/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001374","bsg-d001374"],"name":"FAIRsharing record for: T-psi-C","abbreviation":"tpsic","url":"https://fairsharing.org/10.25504/FAIRsharing.83jovl","doi":"10.25504/FAIRsharing.83jovl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: T-psi-C is a database of tRNA sequences and 3D tRNA structures. The T-psi-C database can be continuously updated by any member of the scientific community.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12864}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","Nucleic acid sequence","RNA sequence","Structure","Transfer RNA"],"taxonomies":["All"],"user_defined_tags":["Mitochondrial tRNA"],"countries":["Poland"],"publications":[{"id":2651,"pubmed_id":31624839,"title":"T-psi-C: user friendly database of tRNA sequences and structures","year":2019,"url":"http://doi.org/10.1093/nar/gkz922","authors":"Sajek MP, Woźniak T, Sprinzl M, Jaruzelska J, Barciszewski J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz922","created_at":"2021-09-30T08:27:25.571Z","updated_at":"2021-09-30T08:27:25.571Z"}],"licence_links":[],"grants":[{"id":3660,"fairsharing_record_id":2873,"organisation_id":1418,"relation":"maintains","created_at":"2021-09-30T09:26:22.744Z","updated_at":"2021-09-30T09:26:22.744Z","grant_id":null,"is_lead":true,"saved_state":{"id":1418,"name":"Institute of Human Genetics, Polish Academy of Sciences","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3661,"fairsharing_record_id":2873,"organisation_id":1408,"relation":"maintains","created_at":"2021-09-30T09:26:22.777Z","updated_at":"2021-09-30T09:26:22.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":1408,"name":"Institute of Bioorganic Chemistry, Polish Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2862","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T08:53:05.000Z","updated_at":"2023-12-15T10:31:01.981Z","metadata":{"doi":"10.25504/FAIRsharing.Ckg0bl","name":"NERC Vocabulary Server","status":"ready","contacts":[{"contact_name":"NVS Vocabulary Management team","contact_email":"vocab.services@bodc.ac.uk"}],"homepage":"https://www.bodc.ac.uk/resources/vocabularies/","identifier":2862,"description":"The NERC Vocabulary Server provides access to standardised lists of terms and taxonomies related to a wide range of concepts which are used to facilitate data markup, interoperability and discovery in the marine and associated earth science domains. Some of these vocabularies are totally managed by BODC, others are managed by BODC on behalf of other organisations, while some are owned and, when relevant, managed by external governance authorities.","abbreviation":"NVS","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/nvs-vocabs","name":"NERC Vocabulary Server Github repositories","type":"Github"},{"url":"http://vocab.nerc.ac.uk/","name":"Technical documentation for the NERC Vocabulary Server","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/","name":"NVS Search"},{"url":"http://seadatanet.maris2.nl/v_bodc_vocab_v2/welcome.asp","name":"SeaDataNet Common Vocabulary Search Interface"},{"url":"https://www.bodc.ac.uk/resources/vocabularies/vocabulary_editor/","name":"Vocabulary editor"},{"url":"http://seadatanet.maris2.nl/bandit/browse_step.php","name":"P01 Vocabulary - Facet search on semantic components"},{"url":"https://www.bodc.ac.uk/resources/vocabularies/vocabulary_builder/","name":"Vocabulary Builder"}],"data_access_condition":{"type":"open","notes":"Registration required"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.bodc.ac.uk/submit_data/data_planning/deposit_conditions/","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001363","bsg-d001363"],"name":"FAIRsharing record for: NERC Vocabulary Server","abbreviation":"NVS","url":"https://fairsharing.org/10.25504/FAIRsharing.Ckg0bl","doi":"10.25504/FAIRsharing.Ckg0bl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NERC Vocabulary Server provides access to standardised lists of terms and taxonomies related to a wide range of concepts which are used to facilitate data markup, interoperability and discovery in the marine and associated earth science domains. Some of these vocabularies are totally managed by BODC, others are managed by BODC on behalf of other organisations, while some are owned and, when relevant, managed by external governance authorities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Data Management","Marine Biology","Earth Science","Ontology and Terminology","Oceanography"],"domains":["Environmental contaminant","Marine environment","Climate","Device"],"taxonomies":["All"],"user_defined_tags":["Chemical oceanography","Natural Resources, Earth and Environment"],"countries":["United Kingdom","European Union"],"publications":[{"id":2648,"pubmed_id":null,"title":"Ocean Data Standards Volume 4: Technology for SeaDataNet Controlled Vocabularies for describing Marine and Oceanographic Datasets – A joint Proposal by SeaDataNet and ODIP projects","year":2019,"url":"https://www.iode.org/index.php?option=com_oe\u0026task=viewDocumentRecord\u0026docID=25099","authors":"A. Leadbetter, R. Lowry, O. Clements, Vocabulary Management Group","journal":"IOC Manual and Guides No. 54 Volume 4","doi":null,"created_at":"2021-09-30T08:27:25.155Z","updated_at":"2021-09-30T08:27:25.155Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2219,"relation":"undefined"}],"grants":[{"id":9074,"fairsharing_record_id":2862,"organisation_id":2090,"relation":"funds","created_at":"2022-03-30T14:23:35.999Z","updated_at":"2022-03-30T14:23:35.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3628,"fairsharing_record_id":2862,"organisation_id":2534,"relation":"undefined","created_at":"2021-09-30T09:26:21.785Z","updated_at":"2021-09-30T09:26:21.785Z","grant_id":null,"is_lead":false,"saved_state":{"id":2534,"name":"SeaDataNet AISBL","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":3626,"fairsharing_record_id":2862,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:26:21.719Z","updated_at":"2021-09-30T09:26:21.719Z","grant_id":null,"is_lead":true,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2863","type":"fairsharing_records","attributes":{"created_at":"2019-12-18T13:40:17.000Z","updated_at":"2023-12-21T12:02:26.708Z","metadata":{"doi":"10.25504/FAIRsharing.Mkl9RR","name":"Ontology Lookup Service","status":"ready","contacts":[{"contact_name":"OLS Support","contact_email":"ols-support@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/ols/index","citations":[],"identifier":2863,"description":"The Ontology Lookup Service (OLS) is a repository for biomedical ontologies that aims to provide a single point of access to the latest ontology versions. You can browse the ontologies through the website as well as programmatically via the OLS API. In 2023 OLS was updated to scale better and with a new user interface. OLS is used within life sciences but also in the fields of chemistry and engineering. Code is available under an Apache 2.0 licence.","abbreviation":"OLS","data_curation":{"type":"not found"},"support_links":[{"url":"https://listserver.ebi.ac.uk/mailman/listinfo/ols-announce","name":"OLS Mailing list","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/ols4/about","name":"About OLS","type":"Help documentation"},{"url":"https://github.com/EBISPOT/ols4","name":"Github Repository","type":"Github"},{"url":"https://twitter.com/EBIOLS","name":"@EBIOLS","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://www.ebi.ac.uk/spot/oxo/","name":"OxO Ontology Mapping Tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010413","name":"re3data:r3d100010413","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006596","name":"SciCrunch:RRID:SCR_006596","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Users can send feedback, enquiries or suggestion about OLS, request a new ontology by using the GitHub issue tracker."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001364","bsg-d001364"],"name":"FAIRsharing record for: Ontology Lookup Service","abbreviation":"OLS","url":"https://fairsharing.org/10.25504/FAIRsharing.Mkl9RR","doi":"10.25504/FAIRsharing.Mkl9RR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology Lookup Service (OLS) is a repository for biomedical ontologies that aims to provide a single point of access to the latest ontology versions. You can browse the ontologies through the website as well as programmatically via the OLS API. In 2023 OLS was updated to scale better and with a new user interface. OLS is used within life sciences but also in the fields of chemistry and engineering. Code is available under an Apache 2.0 licence.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11416},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11890},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12263}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Ontology and Terminology","Data Visualization"],"domains":["Classification","Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":613,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":614,"relation":"undefined"}],"grants":[{"id":3631,"fairsharing_record_id":2863,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:26:21.858Z","updated_at":"2021-09-30T09:30:59.340Z","grant_id":966,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654248","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3629,"fairsharing_record_id":2863,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:21.809Z","updated_at":"2021-09-30T09:26:21.809Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3630,"fairsharing_record_id":2863,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:21.833Z","updated_at":"2021-09-30T09:29:37.683Z","grant_id":332,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"284209","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2860","type":"fairsharing_records","attributes":{"created_at":"2019-11-20T12:34:45.000Z","updated_at":"2023-12-15T10:30:53.010Z","metadata":{"doi":"10.25504/FAIRsharing.qgMKai","name":"DNA Modification Database","status":"ready","contacts":[{"contact_name":"Dr. Michael Hoffman","contact_email":"michael.hoffman@utoronto.ca"}],"homepage":"https://dnamod.hoffmanlab.org/","citations":[{"doi":"10.1186/s13321-019-0349-4","pubmed_id":31016417,"publication_id":506}],"identifier":2860,"description":"DNAmod is an open-source database (https://dnamod.hoffmanlab.org) that catalogues DNA modifications and provides a single source to learn about their properties. The database annotates the chemical properties and structures of all curated modified DNA bases, and a much larger list of candidate chemical entities. DNAmod includes manual annotations of available sequencing methods, descriptions of their occurrence in nature, and provides existing and suggested nomenclature. DNAmod enables researchers to rapidly review previous work, select mapping techniques, and track recent developments concerning modified bases of interest.","abbreviation":"DNAmod","data_curation":{"url":"https://dnamod.hoffmanlab.org/about.html","type":"manual"},"support_links":[{"url":"https://bitbucket.org/hoffmanlab/dnamod/issues","name":"Bitbucket Issue Tracker","type":"Forum"},{"url":"https://dnamod.hoffmanlab.org/about.html","name":"About","type":"Help documentation"},{"url":"https://dnamod.hoffmanlab.org/contact.html","name":"Contact Information","type":"Help documentation"},{"url":"https://bitbucket.org/hoffmanlab/dnamod/","name":"Bitbucket Project Page","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013918","name":"re3data:r3d100013918","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001361","bsg-d001361"],"name":"FAIRsharing record for: DNA Modification Database","abbreviation":"DNAmod","url":"https://fairsharing.org/10.25504/FAIRsharing.qgMKai","doi":"10.25504/FAIRsharing.qgMKai","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DNAmod is an open-source database (https://dnamod.hoffmanlab.org) that catalogues DNA modifications and provides a single source to learn about their properties. The database annotates the chemical properties and structures of all curated modified DNA bases, and a much larger list of candidate chemical entities. DNAmod includes manual annotations of available sequencing methods, descriptions of their occurrence in nature, and provides existing and suggested nomenclature. DNAmod enables researchers to rapidly review previous work, select mapping techniques, and track recent developments concerning modified bases of interest.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12861}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenomics","Bioinformatics"],"domains":["Nucleotide"],"taxonomies":["All"],"user_defined_tags":["DNA modification"],"countries":["Canada"],"publications":[{"id":506,"pubmed_id":31016417,"title":"DNAmod: the DNA modification database.","year":2019,"url":"http://doi.org/10.1186/s13321-019-0349-4","authors":"Sood AJ,Viner C,Hoffman MM","journal":"J Cheminform","doi":"10.1186/s13321-019-0349-4","created_at":"2021-09-30T08:23:15.144Z","updated_at":"2021-09-30T08:23:15.144Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1332,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1330,"relation":"undefined"}],"grants":[{"id":3623,"fairsharing_record_id":2860,"organisation_id":2356,"relation":"maintains","created_at":"2021-09-30T09:26:21.606Z","updated_at":"2021-09-30T09:26:21.606Z","grant_id":null,"is_lead":true,"saved_state":{"id":2356,"name":"Princess Margaret Cancer Centre, Toronto, Canada","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2874","type":"fairsharing_records","attributes":{"created_at":"2019-12-13T20:12:10.000Z","updated_at":"2024-03-21T13:58:56.033Z","metadata":{"doi":"10.25504/FAIRsharing.aI1J5W","name":"GlyGen: Computational and Informatics Resources for Glycoscience","status":"ready","contacts":[{"contact_name":"GlyGen Contact Us","contact_email":"myglygen@gmail.com"}],"homepage":"https://www.glygen.org/","citations":[{"doi":"cwz080","pubmed_id":31616925,"publication_id":2658}],"identifier":2874,"description":"GlyGen is a data integration and dissemination project for carbohydrate and glycoconjugate related data. GlyGen retrieves information from multiple international data sources and integrates and harmonizes this data. This web portal allows exploring this data and performing unique searches that cannot be executed in any of the integrated databases alone.","abbreviation":"GlyGen","data_curation":{"url":"https://www.glygen.org/about/","type":"manual/automated","notes":"Standardized data under open license allowing sharing and reuse of data with proper attribution that can be manually and programmatically accessed.​"},"support_links":[{"url":"https://glygen.org/contact.html","name":"GlyGen: Contact Us","type":"Contact form"},{"url":"https://twitter.com/gly_gen","name":"GlyGen Twitter","type":"Twitter"}],"year_creation":2018,"data_versioning":"not found","data_access_condition":{"url":"https://www.glygen.org/about/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001375","bsg-d001375"],"name":"FAIRsharing record for: GlyGen: Computational and Informatics Resources for Glycoscience","abbreviation":"GlyGen","url":"https://fairsharing.org/10.25504/FAIRsharing.aI1J5W","doi":"10.25504/FAIRsharing.aI1J5W","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlyGen is a data integration and dissemination project for carbohydrate and glycoconjugate related data. GlyGen retrieves information from multiple international data sources and integrates and harmonizes this data. This web portal allows exploring this data and performing unique searches that cannot be executed in any of the integrated databases alone.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19994}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Glycosylation","Glycosylated residue"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["glycobiology","glycoconjugate","glycoinformatics","glycoprotein","glycoscience"],"countries":["United States"],"publications":[{"id":2658,"pubmed_id":31616925,"title":"GlyGen: Computational and Informatics Resources for Glycoscience.","year":2019,"url":"http://doi.org/10.1093/glycob/cwz080","authors":"York WS,Mazumder R,Ranzinger R,Edwards N,Kahsay R,Aoki-Kinoshita KF,Campbell MP,Cummings RD,Feizi T,Martin M,Natale DA,Packer NH,Woods RJ,Agarwal G,Arpinar S,Bhat S,Blake J,Castro LJG,Fochtman B,Gildersleeve J,Goldman R,Holmes X,Jain V,Kulkarni S,Mahadik R,Mehta A,Mousavi R,Nakarakommula S,Navelkar R,Pattabiraman N,Pierce MJ,Ross K,Vasudev P,Vora J,Williamson T,Zhang W","journal":"Glycobiology","doi":"cwz080","created_at":"2021-09-30T08:27:26.380Z","updated_at":"2021-09-30T08:27:26.380Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":36,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":37,"relation":"undefined"}],"grants":[{"id":3663,"fairsharing_record_id":2874,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:26:22.826Z","updated_at":"2021-09-30T09:26:22.826Z","grant_id":null,"is_lead":true,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3664,"fairsharing_record_id":2874,"organisation_id":1130,"relation":"maintains","created_at":"2021-09-30T09:26:22.908Z","updated_at":"2021-09-30T09:26:22.908Z","grant_id":null,"is_lead":true,"saved_state":{"id":1130,"name":"George Washington University, DC, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11558,"fairsharing_record_id":2874,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:55.198Z","updated_at":"2024-03-21T13:58:55.916Z","grant_id":619,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"1U01GM125267-01","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2881","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T07:18:27.000Z","updated_at":"2022-07-20T10:00:56.980Z","metadata":{"doi":"10.25504/FAIRsharing.4APEVR","name":"Global Project Management System Tuberculosis Transportal","status":"deprecated","contacts":[{"contact_name":"Bindu Madhuri K","contact_email":"madhu39399@gmail.com","contact_orcid":"0000-0002-0875-4419"}],"homepage":"https://tbindia.indiancst.com/GPMSTBTransportal/","citations":[],"identifier":2881,"description":"Global Project Management System Tuberculosis Transportal (GPMS TB Transportal) is a digital platform piloting TB surveillance in the 4 districts of Karnataka. It is an integrated dashboard that contains the information of all the TB control programs. As per section 3.3 of the Sustainable Development Goals (SDG) of the United Nations, health for all and eradication of TB and Malaria by 2030 are identified targets. GPMS TB Transportal was created to aid the identification of new TB cases, improve treatment compliance, and reduce the death of TB patients in Karnataka. This resource will also be used to develop early TB presumptive patients' diagnoses.","abbreviation":"GPMS TB Transportal","data_curation":{},"support_links":[{"url":"rajaseevan@gmail.com","name":"Shri. RAJA SEEVAN","type":"Support email"},{"url":"rajaseevan@indiancst.in","name":"Shri. RAJA SEEVAN","type":"Support email"},{"url":"https://tbindia.indiancst.com/GPMSTBTransportal/index.php/acfdailyreport/live_graph","name":"Analytics","type":"Help documentation"},{"url":"https://tbindia.indiancst.com/GPMSTBTransportal/index.php/elearning/usermanual","name":"GPMS User Manual","type":"Help documentation"},{"url":"https://tbindia.indiancst.com/GPMSTBTransportal/index.php/elearning/databaseframework","name":"Database Framework","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","deprecation_date":"2022-06-27","deprecation_reason":"This resource's homepage is no longer active, and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001382","bsg-d001382"],"name":"FAIRsharing record for: Global Project Management System Tuberculosis Transportal","abbreviation":"GPMS TB Transportal","url":"https://fairsharing.org/10.25504/FAIRsharing.4APEVR","doi":"10.25504/FAIRsharing.4APEVR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Global Project Management System Tuberculosis Transportal (GPMS TB Transportal) is a digital platform piloting TB surveillance in the 4 districts of Karnataka. It is an integrated dashboard that contains the information of all the TB control programs. As per section 3.3 of the Sustainable Development Goals (SDG) of the United Nations, health for all and eradication of TB and Malaria by 2030 are identified targets. GPMS TB Transportal was created to aid the identification of new TB cases, improve treatment compliance, and reduce the death of TB patients in Karnataka. This resource will also be used to develop early TB presumptive patients' diagnoses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12867}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Epidemiology"],"domains":["Disease onset","Disease","Diagnosis","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[{"licence_name":"National Data Sharing and Accessibility Policy (NDSAP)","licence_id":544,"licence_url":"https://tbindia.indiancst.com/GPMSTBTransportal/assets/uploads/images/NDSAP%20Implementation%20Guidelines%202.4.pdf","link_id":117,"relation":"undefined"},{"licence_name":"National eHealth Authority (NeHA)","licence_id":545,"licence_url":"https://tbindia.indiancst.com/GPMSTBTransportal/assets/uploads/images/NeHA%20PDF.pdf","link_id":124,"relation":"undefined"}],"grants":[{"id":3684,"fairsharing_record_id":2881,"organisation_id":692,"relation":"maintains","created_at":"2021-09-30T09:26:23.552Z","updated_at":"2021-09-30T09:26:23.552Z","grant_id":null,"is_lead":true,"saved_state":{"id":692,"name":"Department of Community Medicine, M S. Ramaiah Medical College, Bengaluru, Karnataka, India","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":3682,"fairsharing_record_id":2881,"organisation_id":1329,"relation":"maintains","created_at":"2021-09-30T09:26:23.482Z","updated_at":"2021-09-30T09:26:23.482Z","grant_id":null,"is_lead":true,"saved_state":{"id":1329,"name":"Indian Centre for Social Transformation (Indian CST), Bengaluru, Karnataka, India","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":3683,"fairsharing_record_id":2881,"organisation_id":2402,"relation":"maintains","created_at":"2021-09-30T09:26:23.510Z","updated_at":"2021-09-30T09:26:23.510Z","grant_id":null,"is_lead":true,"saved_state":{"id":2402,"name":"Ramaiah Public Policy Center, Bengaluru, Karnataka, India","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":3681,"fairsharing_record_id":2881,"organisation_id":1329,"relation":"funds","created_at":"2021-09-30T09:26:23.460Z","updated_at":"2021-09-30T09:31:31.994Z","grant_id":1212,"is_lead":false,"saved_state":{"id":1329,"name":"Indian Centre for Social Transformation (Indian CST), Bengaluru, Karnataka, India","grant":"Self funded by the trustees and well wishers of Indian Centre for Social Transformation and certain funds from GOK(Government of Karnataka)","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2882","type":"fairsharing_records","attributes":{"created_at":"2020-01-14T09:19:25.000Z","updated_at":"2023-12-15T10:32:02.760Z","metadata":{"doi":"10.25504/FAIRsharing.z0rqUk","name":"Food and Agriculture Organization Corporate Statistical Database","status":"ready","contacts":[{"contact_name":"Francesco N Tubiello","contact_email":"francesco.tubiello@fao.org","contact_orcid":"0000-0003-4617-4690"}],"homepage":"http://www.fao.org/faostat/en/#data","citations":[{"doi":"10.1088/1748-9326/8/1/015009","publication_id":526}],"identifier":2882,"description":"Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available.","abbreviation":"FAOSTAT","data_curation":{"type":"not found"},"support_links":[{"url":"faostat@fao.org","name":"FAO Helpdesk","type":"Support email"},{"url":"http://www.fao.org/faostat/en/#faq","name":"FAOSTAT FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.fao.org/faostat/en/#definitions","name":"Definitions and Standards","type":"Help documentation"},{"url":"https://twitter.com/faostatistics","name":"@faostatistics","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Food_and_Agriculture_Organization_Corporate_Statistical_Database","name":"FAOSTAT Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010847","name":"re3data:r3d100010847","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006914","name":"SciCrunch:RRID:SCR_006914","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001383","bsg-d001383"],"name":"FAIRsharing record for: Food and Agriculture Organization Corporate Statistical Database","abbreviation":"FAOSTAT","url":"https://fairsharing.org/10.25504/FAIRsharing.z0rqUk","doi":"10.25504/FAIRsharing.z0rqUk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Forest Management","Animal Breeding","Animal Husbandry","Food Security","Agriculture"],"domains":["Food","Environmental contaminant"],"taxonomies":["Not applicable"],"user_defined_tags":["Grassland Research"],"countries":["Worldwide"],"publications":[{"id":526,"pubmed_id":null,"title":"The FAOSTAT database of greenhouse gas emissions from agriculture","year":2013,"url":"http://doi.org/10.1088/1748-9326/8/1/015009","authors":"Tubiello, F.N. et al","journal":"Environmental Research Letters","doi":"10.1088/1748-9326/8/1/015009","created_at":"2021-09-30T08:23:17.384Z","updated_at":"2021-09-30T08:23:17.384Z"},{"id":1333,"pubmed_id":null,"title":"Greenhouse Gas Emissions Due to Agriculture","year":2019,"url":"http://doi.org/10.1016/B978-0-08-100596-5.21996-3","authors":"Tubiello F.N.","journal":"Elsevier Encyclopedia of Food Systems","doi":"10.1016/B978-0-08-100596-5.21996-3","created_at":"2021-09-30T08:24:49.187Z","updated_at":"2021-09-30T08:24:49.187Z"},{"id":3036,"pubmed_id":25580828,"title":"The Contribution of Agriculture, Forestry and other Land Use activities to Global Warming, 1990-2012.","year":2015,"url":"http://doi.org/10.1111/gcb.12865","authors":"Tubiello FN,Salvatore M,Ferrara AF,House J,Federici S,Rossi S,Biancalani R,Condor Golec RD,Jacobs H,Flammini A,Prosperi P,Cardenas-Galindo P,Schmidhuber J,Sanz Sanchez MJ,Srivastava N,Smith P","journal":"Glob Chang Biol","doi":"10.1111/gcb.12865","created_at":"2021-09-30T08:28:14.133Z","updated_at":"2021-09-30T08:28:14.133Z"}],"licence_links":[{"licence_name":"FAO copyright","licence_id":311,"licence_url":"http://www.fao.org/contact-us/terms/en/","link_id":1884,"relation":"undefined"}],"grants":[{"id":3685,"fairsharing_record_id":2882,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:26:23.586Z","updated_at":"2021-09-30T09:26:23.586Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2883","type":"fairsharing_records","attributes":{"created_at":"2020-01-15T16:14:59.000Z","updated_at":"2023-12-15T10:31:45.083Z","metadata":{"doi":"10.25504/FAIRsharing.4wjhCf","name":"National Archive of Criminal Justice Data","status":"ready","contacts":[{"contact_name":"A.J. Million","contact_email":"millioaj@umich.edu","contact_orcid":"0000-0002-8909-153X"}],"homepage":"https://www.icpsr.umich.edu/icpsrweb/nacjd/","identifier":2883,"description":"Established in 1978, the National Archive of Criminal Justice Data (NACJD) archives and disseminates data on crime and justice for secondary analysis. The archive contains data from over 2,700 curated studies or statistical data series. NACJD is home to several large-scale and well known datasets, including the National Crime Victimization Survey (NCVS), the FBI's Uniform Crime Reports (UCR), the FBI's National Incident-Based Reporting System (NIBRS), and the Project on Human Development in Chicago Neighborhoods (PHDCN). In addition to making data available, NACJD curates and preserves data to ensure that they are accessible now and in the future. Located within the Inter-University Consortium for Political and Social Research (ICPSR), a research center of the Institute for Social Research (ISR) at the University of Michigan, NACJD is sponsored by the Bureau of Justice Statistics (BJS), the National Institute of Justice (NIJ), and the Office of Juvenile Justice and Delinquency Prevention (OJJDP) of the United States Department of Justice.","abbreviation":"NACJD","data_curation":{"url":"https://www.icpsr.umich.edu/files/deposit/DataStartToFinish.pdf","type":"manual/automated"},"support_links":[{"url":"http://www.icpsr.umich.edu/icpsrweb/ICPSR/help/","name":"ICPSR Help","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/help.html","name":"NACJD Help","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/contact.html","name":"NACJD Contact","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/resources.html","name":"Resources Citing NACJD","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/about.html","name":"About","type":"Help documentation"},{"url":"https://twitter.com/nackjaydee","name":"@nackjaydee","type":"Twitter"}],"year_creation":1978,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010260","name":"re3data:r3d100010260","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/NACJD/share-data.html","type":"controlled","notes":"Submitted data should come from projects granted by the National Institute of Justice (NIJ) and the Office of Juvenile Justice and Delinquency Prevention (OJJDP)."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001384","bsg-d001384"],"name":"FAIRsharing record for: National Archive of Criminal Justice Data","abbreviation":"NACJD","url":"https://fairsharing.org/10.25504/FAIRsharing.4wjhCf","doi":"10.25504/FAIRsharing.4wjhCf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Established in 1978, the National Archive of Criminal Justice Data (NACJD) archives and disseminates data on crime and justice for secondary analysis. The archive contains data from over 2,700 curated studies or statistical data series. NACJD is home to several large-scale and well known datasets, including the National Crime Victimization Survey (NCVS), the FBI's Uniform Crime Reports (UCR), the FBI's National Incident-Based Reporting System (NIBRS), and the Project on Human Development in Chicago Neighborhoods (PHDCN). In addition to making data available, NACJD curates and preserves data to ensure that they are accessible now and in the future. Located within the Inter-University Consortium for Political and Social Research (ICPSR), a research center of the Institute for Social Research (ISR) at the University of Michigan, NACJD is sponsored by the Bureau of Justice Statistics (BJS), the National Institute of Justice (NIJ), and the Office of Juvenile Justice and Delinquency Prevention (OJJDP) of the United States Department of Justice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Criminology","Criminal Law","Social and Behavioural Science"],"domains":["Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ICPSR Privacy Policy","licence_id":417,"licence_url":"https://www.icpsr.umich.edu/icpsrweb/content/about/privacy.html","link_id":2062,"relation":"undefined"}],"grants":[{"id":3687,"fairsharing_record_id":2883,"organisation_id":3168,"relation":"funds","created_at":"2021-09-30T09:26:23.652Z","updated_at":"2021-09-30T09:26:23.652Z","grant_id":null,"is_lead":false,"saved_state":{"id":3168,"name":"U.S. Department of Justice, Office of Justice Programs, Washington, D.C., USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3686,"fairsharing_record_id":2883,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:26:23.619Z","updated_at":"2021-09-30T09:26:23.619Z","grant_id":null,"is_lead":true,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2884","type":"fairsharing_records","attributes":{"created_at":"2020-01-17T16:51:32.000Z","updated_at":"2023-12-15T10:32:26.818Z","metadata":{"doi":"10.25504/FAIRsharing.Gzattg","name":"Civic Learning, Engagement, and Action Data Sharing","status":"ready","contacts":[{"contact_name":"David Bleckley","contact_email":"civicleads@umich.edu","contact_orcid":"0000-0001-7715-4348"}],"homepage":"http://www.civicleads.org","identifier":2884,"description":"Researchers from a wide variety of disciplines study civic education, civic action, and the many relationships between the two. Civic Learning, Engagement, and Action Data Sharing (CivicLEADS) provides infrastructure for researchers to share and access high-quality datasets which can be used to study civic education and involvement. Funded by a grant from the Spencer Foundation and part of ICPSR's Education and Child Care Data Archives at the University of Michigan, CivicLEADS provides a centralized repository for this multi-disciplinary research area, with data being created across education, political science, developmental sciences, and other disciplines. Researchers can access quantitative and qualitative data on a broad range of topics for secondary analysis as well as sharing their own primary research data. CivicLEADS includes datasets from other ICPSR archives and seeks out emerging data collected by studies still in the field. Beyond facilitating the sharing and discovery of data, CivicLEADS seeks to create a learning community around civic education and engagement research. We strive to form relationships with and between investigators and researchers at every level—from students to emeriti faculty. Data shared in this archive have been documented with thorough metadata, and tools drawing upon these metadata allow researchers to explore and compare variables both within and between studies. By providing tutorials, webinars, and in-person training, CivicLEADS connects researchers with data and facilitates the future of civic education and civic action research.","abbreviation":"CivicLEADS","data_curation":{"type":"none"},"support_links":[{"url":"https://www.icpsr.umich.edu/icpsrweb/civicleads/news.jsp","name":"News","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/civicleads/about.html","name":"About","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/civicleads/about.html","type":"open","notes":"Researchers can share their own primary research data, but there is no online submission form."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001385","bsg-d001385"],"name":"FAIRsharing record for: Civic Learning, Engagement, and Action Data Sharing","abbreviation":"CivicLEADS","url":"https://fairsharing.org/10.25504/FAIRsharing.Gzattg","doi":"10.25504/FAIRsharing.Gzattg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Researchers from a wide variety of disciplines study civic education, civic action, and the many relationships between the two. Civic Learning, Engagement, and Action Data Sharing (CivicLEADS) provides infrastructure for researchers to share and access high-quality datasets which can be used to study civic education and involvement. Funded by a grant from the Spencer Foundation and part of ICPSR's Education and Child Care Data Archives at the University of Michigan, CivicLEADS provides a centralized repository for this multi-disciplinary research area, with data being created across education, political science, developmental sciences, and other disciplines. Researchers can access quantitative and qualitative data on a broad range of topics for secondary analysis as well as sharing their own primary research data. CivicLEADS includes datasets from other ICPSR archives and seeks out emerging data collected by studies still in the field. Beyond facilitating the sharing and discovery of data, CivicLEADS seeks to create a learning community around civic education and engagement research. We strive to form relationships with and between investigators and researchers at every level—from students to emeriti faculty. Data shared in this archive have been documented with thorough metadata, and tools drawing upon these metadata allow researchers to explore and compare variables both within and between studies. By providing tutorials, webinars, and in-person training, CivicLEADS connects researchers with data and facilitates the future of civic education and civic action research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social Science","Education Science","Media Studies","Social Psychology","Psychology","Social and Behavioural Science","Political Science","Communication Science"],"domains":["Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Activism","Civic Education","Civic Engagement","Critical Consciousness","Education","Media Literacy","Political Development","Social Media","Sociology"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3688,"fairsharing_record_id":2884,"organisation_id":2615,"relation":"funds","created_at":"2021-09-30T09:26:23.677Z","updated_at":"2021-09-30T09:30:29.435Z","grant_id":733,"is_lead":false,"saved_state":{"id":2615,"name":"Spencer Foundation, Chicago, IL, USA","grant":"201500037","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3689,"fairsharing_record_id":2884,"organisation_id":1393,"relation":"maintains","created_at":"2021-09-30T09:26:23.701Z","updated_at":"2021-09-30T09:26:23.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1393,"name":"Institute for Social Research, University of Michigan, Ann Arbor, MI, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3690,"fairsharing_record_id":2884,"organisation_id":3095,"relation":"maintains","created_at":"2021-09-30T09:26:23.726Z","updated_at":"2021-09-30T09:26:23.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2885","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T12:12:10.000Z","updated_at":"2023-12-15T10:30:54.383Z","metadata":{"doi":"10.25504/FAIRsharing.45c8c8","name":"International Plant Names Index","status":"ready","contacts":[{"contact_name":"IPNI Team","contact_email":"ipnifeedback@kew.org"}],"homepage":"https://www.ipni.org/","identifier":2885,"description":"The International Plant Names Index (IPNI) provides nomenclatural information (spelling, author, types and first place and date of publication) for the scientific names of Vascular Plants from Family down to infraspecific ranks.","abbreviation":"IPNI","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ipni.org/statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012002","name":"re3data:r3d100012002","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ipni.org/registration/","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001386","bsg-d001386"],"name":"FAIRsharing record for: International Plant Names Index","abbreviation":"IPNI","url":"https://fairsharing.org/10.25504/FAIRsharing.45c8c8","doi":"10.25504/FAIRsharing.45c8c8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Plant Names Index (IPNI) provides nomenclatural information (spelling, author, types and first place and date of publication) for the scientific names of Vascular Plants from Family down to infraspecific ranks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Taxonomy"],"domains":["Taxonomic classification"],"taxonomies":["Tracheophyta"],"user_defined_tags":[],"countries":["Australia","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Kew Gardens Terms and Conditions","licence_id":479,"licence_url":"https://www.kew.org/terms-and-conditions","link_id":1710,"relation":"undefined"}],"grants":[{"id":3691,"fairsharing_record_id":2885,"organisation_id":2461,"relation":"maintains","created_at":"2021-09-30T09:26:23.752Z","updated_at":"2022-06-27T13:45:05.374Z","grant_id":null,"is_lead":true,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3692,"fairsharing_record_id":2885,"organisation_id":1217,"relation":"maintains","created_at":"2021-09-30T09:26:23.776Z","updated_at":"2021-09-30T09:26:23.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":1217,"name":"Harvard University Herbaria \u0026 Libraries, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3693,"fairsharing_record_id":2885,"organisation_id":144,"relation":"maintains","created_at":"2021-09-30T09:26:23.871Z","updated_at":"2021-09-30T09:26:23.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":144,"name":"Australian National Herbarium","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2901","type":"fairsharing_records","attributes":{"created_at":"2020-03-10T13:33:20.000Z","updated_at":"2023-12-15T10:30:27.431Z","metadata":{"doi":"10.25504/FAIRsharing.3254c6","name":"eLibrary of Microbial Systematics and Genomics","status":"ready","contacts":[{"contact_name":"Xiao-Yang Zhi","contact_email":"xyzhi@ynu.edu.cn"}],"homepage":"https://www.biosino.org/elmsg/index","identifier":2901,"description":"The eLibrary of Microbial Systematics and Genomics (eLMSG) database provides a platform for microbial systematics, genomics and phenomics (polyphasic taxonomy related phenotypes). It includes information in areas such as microbial taxonomy, ecology, morphology, physiology, and molecular biology. It is intended as a reference for research in microbial systematics, comparative genomics, evolutionary biology, and microbiomes.","abbreviation":"eLMSG","data_curation":{"url":"https://www.biosino.org/elmsg/about","type":"automated"},"support_links":[{"url":"https://www.biosino.org/elmsg/help","name":"eLMSG Help","type":"Help documentation"},{"url":"https://www.biosino.org/elmsg/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://www.biosino.org/elmsg/about","name":"About eLMSG","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013791","name":"re3data:r3d100013791","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.biosino.org/elmsg/submit","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001402","bsg-d001402"],"name":"FAIRsharing record for: eLibrary of Microbial Systematics and Genomics","abbreviation":"eLMSG","url":"https://fairsharing.org/10.25504/FAIRsharing.3254c6","doi":"10.25504/FAIRsharing.3254c6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eLibrary of Microbial Systematics and Genomics (eLMSG) database provides a platform for microbial systematics, genomics and phenomics (polyphasic taxonomy related phenotypes). It includes information in areas such as microbial taxonomy, ecology, morphology, physiology, and molecular biology. It is intended as a reference for research in microbial systematics, comparative genomics, evolutionary biology, and microbiomes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12872}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Microbial Ecology","Genomics","Taxonomy","Microbial Genetics","Phenomics","Comparative Genomics"],"domains":["Taxonomic classification","Cell morphology","Microbiome"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":3715,"fairsharing_record_id":2901,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.459Z","updated_at":"2021-09-30T09:26:24.459Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2902","type":"fairsharing_records","attributes":{"created_at":"2020-03-10T13:54:47.000Z","updated_at":"2023-06-23T15:21:37.358Z","metadata":{"doi":"10.25504/FAIRsharing.50387f","name":"Epigenome-Wide Association Study Atlas","status":"ready","contacts":[{"contact_name":"EWAS Atlas Helpdesk","contact_email":"ewas-user@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/ewas","citations":[{"doi":"10.1093/nar/gky1027","pubmed_id":30364969,"publication_id":2805}],"identifier":2902,"description":"The Epigenome-Wide Association Study Atlas (EWAS) Atlas is a curated knowledgebase of EWAS data. EWAS Atlas focuses on DNA methylation and provides a trait enrichment analysis tool, which is capable of profiling trait-trait and trait-epigenome relationships. Incorporation of more epigenetic markers is planned.","abbreviation":"EWAS Atlas","data_curation":{"url":"https://ngdc.cncb.ac.cn/ewas/datahub/documentation#/metadata_curation?id=curation","type":"manual"},"support_links":[{"url":"https://bigd.big.ac.cn/ewas/documentation#/","name":"Help Pages","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/ewas/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/AtlasEwas","name":"@AtlasEwas","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001403","bsg-d001403"],"name":"FAIRsharing record for: Epigenome-Wide Association Study Atlas","abbreviation":"EWAS Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.50387f","doi":"10.25504/FAIRsharing.50387f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epigenome-Wide Association Study Atlas (EWAS) Atlas is a curated knowledgebase of EWAS data. EWAS Atlas focuses on DNA methylation and provides a trait enrichment analysis tool, which is capable of profiling trait-trait and trait-epigenome relationships. Incorporation of more epigenetic markers is planned.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12873}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenomics","Epigenetics"],"domains":["DNA methylation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2805,"pubmed_id":30364969,"title":"EWAS Atlas: a curated knowledgebase of epigenome-wide association studies.","year":2018,"url":"http://doi.org/10.1093/nar/gky1027","authors":"Li M,Zou D,Li Z,Gao R,Sang J,Zhang Y,Li R,Xia L,Zhang T,Niu G,Bao Y,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1027","created_at":"2021-09-30T08:27:44.952Z","updated_at":"2021-09-30T11:29:45.255Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":686,"relation":"undefined"}],"grants":[{"id":3716,"fairsharing_record_id":2902,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.486Z","updated_at":"2021-09-30T09:26:24.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2904","type":"fairsharing_records","attributes":{"created_at":"2020-03-11T13:35:34.000Z","updated_at":"2023-12-15T10:31:36.546Z","metadata":{"doi":"10.25504/FAIRsharing.483ea0","name":"GWAS Atlas","status":"ready","contacts":[{"contact_name":"GWAS Atlas Helpdesk","contact_email":"gwas@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/gwas/","citations":[{"doi":"10.1093/nar/gkz828","pubmed_id":31566222,"publication_id":2794}],"identifier":2904,"description":"The GWAS Atlas is a manually curated resource of genome-wide variant-trait associations for a wide range of species.","abbreviation":"GWAS Atlas","data_curation":{"url":"https://ngdc.cncb.ac.cn/gwas/documentation#pipe","type":"manual","notes":"The standardized curation process involves literature search, information retrieval, integration \u0026 annotation and database construction."},"support_links":[{"url":"https://bigd.big.ac.cn/gwas/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/gwas/documentation","name":"GWAS Atlas Documentation","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ngdc.cncb.ac.cn/gwas/documentation#submit","type":"controlled","notes":"Authentification to the NGDC (National Genomics Data Center) Central Authentication Service is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001405","bsg-d001405"],"name":"FAIRsharing record for: GWAS Atlas","abbreviation":"GWAS Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.483ea0","doi":"10.25504/FAIRsharing.483ea0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GWAS Atlas is a manually curated resource of genome-wide variant-trait associations for a wide range of species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12875}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Phenotype","Genome-wide association study","Genotype"],"taxonomies":["Brassica napus","Capra hircus","Glycine max","Gossypium hirsutum","Oryza sativa","Prunus mume","Sorghum bicolor","Sus scrofa","Zea mays"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2794,"pubmed_id":31566222,"title":"GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals.","year":2019,"url":"http://doi.org/10.1093/nar/gkz828","authors":"Tian D,Wang P,Tang B,Teng X,Li C,Liu X,Zou D,Song S,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz828","created_at":"2021-09-30T08:27:43.544Z","updated_at":"2021-09-30T11:29:44.953Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1134,"relation":"undefined"}],"grants":[{"id":8148,"fairsharing_record_id":2904,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:31:11.546Z","updated_at":"2021-09-30T09:31:11.594Z","grant_id":1056,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"Youth Innovation Promotion Association (2018134)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3718,"fairsharing_record_id":2904,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.535Z","updated_at":"2021-09-30T09:26:24.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3719,"fairsharing_record_id":2904,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:26:24.560Z","updated_at":"2021-09-30T09:29:45.187Z","grant_id":386,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"13th Five-year Informatization Plan (XXH13505-05)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8222,"fairsharing_record_id":2904,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:31:37.581Z","updated_at":"2021-09-30T09:31:37.633Z","grant_id":1255,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"Strategic Priority Research Program (XDA08020102)","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2894","type":"fairsharing_records","attributes":{"created_at":"2020-03-10T10:22:08.000Z","updated_at":"2023-11-23T13:48:35.199Z","metadata":{"doi":"10.25504/FAIRsharing.a308a0","name":"DDBJ BioProject","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"trace@ddbj.nig.ac.jp"}],"homepage":"https://www.ddbj.nig.ac.jp/bioproject/index-e.html","citations":[],"identifier":2894,"description":"The DDBJ BioProject resource organizes both the projects and the data from those projects which is deposited into several archival databases maintained by members of the INSDC. This allows searching by characteristics of these projects, using the project description and project content across the INSDC-associated databases. It works in partnership with the NCBI BioProject repository.","abbreviation":"DDBJ BioProject","data_curation":{"url":"https://www.ddbj.nig.ac.jp/biosample/submission-e.html","type":"manual/automated"},"support_links":[{"url":"https://www.ddbj.nig.ac.jp/contact-e.html","name":"DDBJ Contact Form","type":"Contact form"},{"url":"https://www.ddbj.nig.ac.jp/faq/en/index-e.html?tag=bioproject","name":"BioProject FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ddbj.nig.ac.jp/bioproject/submission-e.html","name":"General Information and Submission","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ddbj.nig.ac.jp/bioproject/submission-e.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001395","bsg-d001395"],"name":"FAIRsharing record for: DDBJ BioProject","abbreviation":"DDBJ BioProject","url":"https://fairsharing.org/10.25504/FAIRsharing.a308a0","doi":"10.25504/FAIRsharing.a308a0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DDBJ BioProject resource organizes both the projects and the data from those projects which is deposited into several archival databases maintained by members of the INSDC. This allows searching by characteristics of these projects, using the project description and project content across the INSDC-associated databases. It works in partnership with the NCBI BioProject repository.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Experimental measurement","Annotation","Genomic assembly","Protocol","Sequencing","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"DDBJ Policies and Disclaimers","licence_id":230,"licence_url":"https://www.ddbj.nig.ac.jp/policies-e.html","link_id":2269,"relation":"undefined"}],"grants":[{"id":3707,"fairsharing_record_id":2894,"organisation_id":252,"relation":"maintains","created_at":"2021-09-30T09:26:24.260Z","updated_at":"2021-09-30T09:26:24.260Z","grant_id":null,"is_lead":true,"saved_state":{"id":252,"name":"Bioinformation and DDBJ Center","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2895","type":"fairsharing_records","attributes":{"created_at":"2020-03-19T09:42:00.000Z","updated_at":"2023-06-23T09:28:34.843Z","metadata":{"name":"Virtual Chinese Genome Database","status":"deprecated","contacts":[],"homepage":"https://bigd.big.ac.cn/vcg/","citations":[{"doi":"10.1186/1471-2164-15-265","pubmed_id":24708222,"publication_id":2614}],"identifier":2895,"description":"Virtual Chinese Genome Database (VCGDB) is a genome database of the Chinese population based on the whole genome sequencing data of 194 individuals. We are unsure when this database was last updated, and as such we have marked this record as Uncertain. Please contact us if you have any information on its current status.","abbreviation":"VCGDB","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2023-05-04","deprecation_reason":"Data access is no longer available. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001396","bsg-d001396"],"name":"FAIRsharing record for: Virtual Chinese Genome Database","abbreviation":"VCGDB","url":"https://fairsharing.org/fairsharing_records/2895","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Virtual Chinese Genome Database (VCGDB) is a genome database of the Chinese population based on the whole genome sequencing data of 194 individuals. We are unsure when this database was last updated, and as such we have marked this record as Uncertain. Please contact us if you have any information on its current status.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12869}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Comparative Genomics","Population Genetics"],"domains":["Whole genome sequencing","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2614,"pubmed_id":24708222,"title":"VCGDB: a dynamic genome database of the Chinese population.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-265","authors":"Ling Y,Jin Z,Su M,Zhong J,Zhao Y,Yu J,Wu J,Xiao J","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-265","created_at":"2021-09-30T08:27:20.912Z","updated_at":"2021-09-30T08:27:20.912Z"}],"licence_links":[],"grants":[{"id":3708,"fairsharing_record_id":2895,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.285Z","updated_at":"2021-09-30T09:26:24.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2897","type":"fairsharing_records","attributes":{"created_at":"2020-02-21T14:43:11.000Z","updated_at":"2023-12-15T10:32:17.192Z","metadata":{"doi":"10.25504/FAIRsharing.szgagY","name":"Data.CDC.gov","status":"ready","contacts":[{"contact_name":"Data@cdc.gov","contact_email":"data@cdc.gov"}],"homepage":"https://data.cdc.gov","identifier":2897,"description":"Data.CDC.gov hosts data sets published by the Centers for Disease Control and Prevention on public health topics.","abbreviation":"Data.CDC.gov","data_curation":{"type":"not found"},"support_links":[{"url":"data@cdc.gov","name":"Data.CDC.gov support team","type":"Support email"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001398","bsg-d001398"],"name":"FAIRsharing record for: Data.CDC.gov","abbreviation":"Data.CDC.gov","url":"https://fairsharing.org/10.25504/FAIRsharing.szgagY","doi":"10.25504/FAIRsharing.szgagY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data.CDC.gov hosts data sets published by the Centers for Disease Control and Prevention on public health topics.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12870},{"linking_record_name":"White House Office of Science and Technology Policy Collection","linking_record_id":4259,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16395}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Public Health"],"domains":[],"taxonomies":["Bacteria","environmental samples","Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"CDC Privacy Policy","licence_id":109,"licence_url":"http://www.cdc.gov/Other/privacy.html","link_id":1095,"relation":"undefined"},{"licence_name":"HHS Privacy Policy","licence_id":392,"licence_url":"http://www.hhs.gov/privacy.html","link_id":1094,"relation":"undefined"},{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1093,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2877","type":"fairsharing_records","attributes":{"created_at":"2019-12-30T11:31:59.000Z","updated_at":"2024-01-27T11:20:52.239Z","metadata":{"doi":"10.25504/FAIRsharing.fae0b7","name":"Registry of Research Data Repositories","status":"ready","contacts":[{"contact_name":"re3data contact","contact_email":"info@re3data.org"}],"homepage":"https://www.re3data.org/","citations":[{"doi":"10.17616/R3D","pubmed_id":null,"publication_id":3604},{"doi":"10.1371/journal.pone.0078080","pubmed_id":null,"publication_id":3606}],"identifier":2877,"description":"re3data.org is a global registry of research data repositories that covers research data repositories from different academic disciplines. It presents repositories for the permanent storage and access of data sets to researchers, funding bodies, publishers and scholarly institutions. re3data.org promotes a culture of sharing, increased access and better visibility of research data.","abbreviation":"re3data","data_curation":{"url":"https://www.re3data.org/faq","type":"manual","notes":"Before a new record of a RDR is published in re3data all gathered information is reviewed by a second team member."},"support_links":[{"url":"https://www.re3data.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.re3data.org/about","name":"About","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","cross_references":[],"data_access_condition":{"url":"https://www.re3data.org/about","type":"open"},"resource_sustainability":{"url":"https://www.re3data.org/about","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.re3data.org/faq","type":"controlled","notes":"How can I add a research data repository to re3data?"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001378","bsg-d001378"],"name":"FAIRsharing record for: Registry of Research Data Repositories","abbreviation":"re3data","url":"https://fairsharing.org/10.25504/FAIRsharing.fae0b7","doi":"10.25504/FAIRsharing.fae0b7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: re3data.org is a global registry of research data repositories that covers research data repositories from different academic disciplines. It presents repositories for the permanent storage and access of data sets to researchers, funding bodies, publishers and scholarly institutions. re3data.org promotes a culture of sharing, increased access and better visibility of research data.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15082}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":3604,"pubmed_id":null,"title":"re3data.org - Registry of Research Data Repositories","year":2021,"url":"https://doi.org/10.17616/R3D","authors":"re3data","journal":"Online","doi":"10.17616/R3D","created_at":"2022-10-01T00:19:33.777Z","updated_at":"2022-10-01T00:21:59.130Z"},{"id":3605,"pubmed_id":null,"title":"Metadata Schema for the Description of Research Data Repositories: version 3.1, re3data, 37 p.","year":2021,"url":"https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007395","authors":"Strecker, D., Bertelmann, R., Cousijn, H., Elger, K., Ferguson, L. M., Fichtmüller, D., Goebelbecker, H.-J., Kindling, M., Kloska, G., Nguyen, T. B., Pampel, H., Petras, V., Schabinger, R., Schnepf, E., Semrau, A., Trofimenko, M., Ulrich, R., Upmeier, A., Vierkant, P., Weisweiler, N. L., Wang, Y., Witt, M.","journal":"Online","doi":"10.48440/re3.010","created_at":"2022-10-01T00:21:38.698Z","updated_at":"2022-10-01T00:21:38.698Z"},{"id":3606,"pubmed_id":null,"title":"Making Research Data Repositories Visible: The re3data.org Registry","year":2013,"url":"http://dx.doi.org/10.1371/journal.pone.0078080","authors":"Pampel, Heinz; Vierkant, Paul; Scholze, Frank; Bertelmann, Roland; Kindling, Maxi; Klump, Jens; Goebelbecker, Hans-Jürgen; Gundlach, Jens; Schirmbacher, Peter; Dierolf, Uwe; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0078080","created_at":"2022-10-01T00:24:05.204Z","updated_at":"2022-10-01T00:24:05.204Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2442,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2897,"relation":"applies_to_content"}],"grants":[{"id":3670,"fairsharing_record_id":2877,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:23.059Z","updated_at":"2021-09-30T09:26:23.059Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3671,"fairsharing_record_id":2877,"organisation_id":647,"relation":"maintains","created_at":"2021-09-30T09:26:23.085Z","updated_at":"2022-09-28T11:54:01.955Z","grant_id":null,"is_lead":true,"saved_state":{"id":647,"name":"DataCite","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":9940,"fairsharing_record_id":2877,"organisation_id":3722,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.769Z","updated_at":"2022-10-01T00:08:30.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":3722,"name":"Purdue University Libraries","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":9941,"fairsharing_record_id":2877,"organisation_id":3724,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.806Z","updated_at":"2022-10-01T00:08:30.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":3724,"name":"Helmholtz Open Science","types":["Undefined"],"is_lead":false,"relation":"collaborates_on"}},{"id":9942,"fairsharing_record_id":2877,"organisation_id":1624,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.845Z","updated_at":"2022-10-01T00:08:30.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":1624,"name":"Karlsruhe Institute of Technology","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9943,"fairsharing_record_id":2877,"organisation_id":3725,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.883Z","updated_at":"2022-10-01T00:08:30.883Z","grant_id":null,"is_lead":false,"saved_state":{"id":3725,"name":" German Initiative for Network Information","types":["Undefined"],"is_lead":false,"relation":"collaborates_on"}},{"id":10396,"fairsharing_record_id":2877,"organisation_id":1284,"relation":"collaborates_on","created_at":"2023-03-13T11:11:43.891Z","updated_at":"2023-03-13T11:11:43.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":1284,"name":"Humboldt-Universität zu Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBc0VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a4c43cbd0da7ed77259f2f760dd661b1d2bbabbe/re3datalogo_black.png?disposition=inline","exhaustive_licences":false}},{"id":"2879","type":"fairsharing_records","attributes":{"created_at":"2020-01-07T17:11:15.000Z","updated_at":"2023-12-15T10:32:43.275Z","metadata":{"doi":"10.25504/FAIRsharing.7IQk4a","name":"Primate Cell Type Database","status":"ready","contacts":[{"contact_name":"Eric S. Kuebler","contact_email":"ekuebler@uwo.ca","contact_orcid":"0000-0002-6816-156X"}],"homepage":"https://primatedatabase.com/","identifier":2879,"description":"PrimateDatabase.com, a publicly available web-accessible archive of intracellular patch clamp recordings and highly detailed three-dimensional digital reconstructions of neuronal morphology. PrimateDatabase.com is unique because it is currently the largest collection of non-human primate (NHP) intracellular recordings.","abbreviation":"PCTD","data_curation":{"type":"not found"},"support_links":[{"url":"primate.database@gmail.com","name":"Contact PCTD","type":"Support email"},{"url":"https://primatedatabase.com/ourTeam.html","name":"About the PCTD Team","type":"Help documentation"}],"year_creation":2019,"data_versioning":"not found","associated_tools":[{"url":"https://primatedatabase.com/morphology.html","name":"Morphology Reconstruction Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013202","name":"re3data:r3d100013202","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001380","bsg-d001380"],"name":"FAIRsharing record for: Primate Cell Type Database","abbreviation":"PCTD","url":"https://fairsharing.org/10.25504/FAIRsharing.7IQk4a","doi":"10.25504/FAIRsharing.7IQk4a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PrimateDatabase.com, a publicly available web-accessible archive of intracellular patch clamp recordings and highly detailed three-dimensional digital reconstructions of neuronal morphology. PrimateDatabase.com is unique because it is currently the largest collection of non-human primate (NHP) intracellular recordings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Electrophysiology"],"domains":["Cell morphology","RNA sequencing","Immunohistochemistry"],"taxonomies":["Macaca fascicularis","Rhesus macaques"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1699,"relation":"undefined"}],"grants":[{"id":3679,"fairsharing_record_id":2879,"organisation_id":2452,"relation":"maintains","created_at":"2021-09-30T09:26:23.410Z","updated_at":"2021-09-30T09:26:23.410Z","grant_id":null,"is_lead":true,"saved_state":{"id":2452,"name":"Robarts Research Institute, London, Canada","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2880","type":"fairsharing_records","attributes":{"created_at":"2020-01-28T11:35:24.000Z","updated_at":"2023-06-22T17:01:13.061Z","metadata":{"doi":"10.25504/FAIRsharing.56a0Uj","name":"GeoNames","status":"ready","contacts":[{"contact_name":"Marc Wick","contact_email":"marc@geonames.org"}],"homepage":"https://www.geonames.org/","citations":[],"identifier":2880,"description":"GeoNames integrates geographical data such as names of places in various languages, elevation, population and others from various sources. Users may manually edit, correct and add new names using a user friendly wiki interface.","abbreviation":"GeoNames","data_curation":{"url":"https://www.geonames.org/about.html","type":"manual"},"support_links":[{"url":"http://forum.geonames.org/","name":"GeoNames Forum","type":"Forum"},{"url":"https://www.geonames.org/manual.html","name":"User Manual","type":"Help documentation"},{"url":"https://www.geonames.org/recent-changes.html","name":"Recent Changes","type":"Help documentation"},{"url":"https://www.geonames.org/data-sources.html","name":"Data Sources","type":"Help documentation"},{"url":"https://www.geonames.org/statistics/","name":"Statistics","type":"Help documentation"},{"url":"https://www.geonames.org/export/client-libraries.html","name":"Client Libraries","type":"Help documentation"},{"url":"https://www.geonames.org/about.html","name":"About GeoNames","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GeoNames","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010245","name":"re3data:r3d100010245","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.geonames.org/datasources/","type":"controlled","notes":"Primarily drawn from multiple data sources, though some annotation and creation of data is allowed for certain users."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001381","bsg-d001381"],"name":"FAIRsharing record for: GeoNames","abbreviation":"GeoNames","url":"https://fairsharing.org/10.25504/FAIRsharing.56a0Uj","doi":"10.25504/FAIRsharing.56a0Uj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeoNames integrates geographical data such as names of places in various languages, elevation, population and others from various sources. Users may manually edit, correct and add new names using a user friendly wiki interface.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1730,"relation":"undefined"}],"grants":[{"id":3680,"fairsharing_record_id":2880,"organisation_id":1124,"relation":"maintains","created_at":"2021-09-30T09:26:23.434Z","updated_at":"2021-09-30T09:26:23.434Z","grant_id":null,"is_lead":true,"saved_state":{"id":1124,"name":"GeoNames Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2899","type":"fairsharing_records","attributes":{"created_at":"2020-03-03T14:34:27.000Z","updated_at":"2022-07-20T12:44:43.809Z","metadata":{"name":"Date Palm Resequence Database","status":"deprecated","contacts":[{"contact_name":"Yiming Bao","contact_email":"baoym@big.ac.cn","contact_orcid":"0000-0002-9922-9723"}],"homepage":"http://drdb.big.ac.cn/home","citations":[{"doi":"10.3389/fpls.2017.01889","pubmed_id":29209336,"publication_id":2535}],"identifier":2899,"description":"The Date Palm Resequence Database (DRDB) is an online genomic resource database for date palm. It was created to distinguish different sub-types of date palms and mine genetic variation of interest. The DRDB includes SNPs (single nucleotide polymorphisms) and SSRs (short sequence repeats) from 62 date palm cultivars. Also included are pre-calculated SNPs and SSRs markers for classification and diversity; PCR primers for SNPs and SSRs markers; information on the phylogenetic relationships of all cultivars and their geographic distribution; and coding SNPs and their effects on amino acids.","abbreviation":"DRDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://drdb.big.ac.cn/documentation","name":"Documentation","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001400","bsg-d001400"],"name":"FAIRsharing record for: Date Palm Resequence Database","abbreviation":"DRDB","url":"https://fairsharing.org/fairsharing_records/2899","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Date Palm Resequence Database (DRDB) is an online genomic resource database for date palm. It was created to distinguish different sub-types of date palms and mine genetic variation of interest. The DRDB includes SNPs (single nucleotide polymorphisms) and SSRs (short sequence repeats) from 62 date palm cultivars. Also included are pre-calculated SNPs and SSRs markers for classification and diversity; PCR primers for SNPs and SSRs markers; information on the phylogenetic relationships of all cultivars and their geographic distribution; and coding SNPs and their effects on amino acids.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12871}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Agriculture","Comparative Genomics"],"domains":["Geographical location","Food","Microsatellite","Single nucleotide polymorphism","Genome"],"taxonomies":["Phoenix dactylifera"],"user_defined_tags":[],"countries":["China","Saudi Arabia"],"publications":[{"id":2535,"pubmed_id":29209336,"title":"DRDB: An Online Date Palm Genomic Resource Database.","year":2017,"url":"http://doi.org/10.3389/fpls.2017.01889","authors":"He Z,Zhang C,Liu W,Lin Q,Wei T,Aljohi HA,Chen WH,Hu S","journal":"Front Plant Sci","doi":"10.3389/fpls.2017.01889","created_at":"2021-09-30T08:27:10.968Z","updated_at":"2021-09-30T08:27:10.968Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1472,"relation":"undefined"}],"grants":[{"id":3713,"fairsharing_record_id":2899,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.411Z","updated_at":"2021-09-30T09:26:24.411Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2900","type":"fairsharing_records","attributes":{"created_at":"2020-03-05T13:46:58.000Z","updated_at":"2023-12-15T10:30:20.262Z","metadata":{"doi":"10.25504/FAIRsharing.cd9b23","name":"BioCode","status":"ready","contacts":[{"contact_name":"Yiming Bao","contact_email":"baoym@big.ac.cn","contact_orcid":"0000-0002-9922-9723"}],"homepage":"https://bigd.big.ac.cn/biocode","identifier":2900,"description":"BioCode is a repository for bioinformatics software.","abbreviation":"BioCode","data_curation":{"type":"not found"},"support_links":[{"url":"https://bigd.big.ac.cn/biocode/home/stats","name":"Statistics","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001401","bsg-d001401"],"name":"FAIRsharing record for: BioCode","abbreviation":"BioCode","url":"https://fairsharing.org/10.25504/FAIRsharing.cd9b23","doi":"10.25504/FAIRsharing.cd9b23","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioCode is a repository for bioinformatics software.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Software Engineering"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1355,"relation":"undefined"}],"grants":[{"id":3714,"fairsharing_record_id":2900,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.435Z","updated_at":"2021-09-30T09:26:24.435Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2891","type":"fairsharing_records","attributes":{"created_at":"2020-02-06T14:09:34.000Z","updated_at":"2023-12-15T10:33:02.380Z","metadata":{"doi":"10.25504/FAIRsharing.KcCjL7","name":"RNAcentral","status":"ready","contacts":[{"contact_name":"Anton I Petrov","contact_email":"apetrov@ebi.ac.uk"}],"homepage":"https://rnacentral.org","citations":[{"doi":"10.1093/nar/gky1034","pubmed_id":30395267,"publication_id":1750}],"identifier":2891,"description":"RNAcentral is a free, public resource that offers integrated access to a comprehensive and up-to-date set of non-coding RNA sequences provided by a collaborating group of databases representing a broad range of organisms and RNA types.","abbreviation":"RNAcentral","data_curation":{"type":"not found"},"support_links":[{"url":"https://blog.rnacentral.org/","name":"RNAcentral Blog","type":"Blog/News"},{"url":"https://rnacentral.org/contact","name":"Contact Form","type":"Contact form"},{"url":"http://github.com/RNAcentral/rnacentral-webcode/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://rnacentral.org/api","name":"API Overview","type":"Help documentation"},{"url":"https://rnacentral.org/help/genomic-mapping","name":"Genomic Mapping Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/secondary-structure","name":"Secondary Structure Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/rfam-annotations","name":"Rfam Annotations Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/text-search","name":"Text Search Guide","type":"Help documentation"},{"url":"https://rnacentral.org/help","name":"Help Pages","type":"Help documentation"},{"url":"https://rnacentral.org/help/gene-ontology-annotations","name":"GO Annotations Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/rna-target-interactions","name":"RNA Target Interactions Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/conserved-motifs","name":"Conserved RNA Motifs Help","type":"Help documentation"},{"url":"https://github.com/RNAcentral/","name":"GitHub Repository","type":"Github"},{"url":"https://rnacentral.org/about-us","name":"About RNAcentral","type":"Help documentation"},{"url":"https://rnacentral.org/expert-databases","name":"Collaborating Databases","type":"Help documentation"},{"url":"https://blog.rnacentral.org/feeds/posts/default","name":"News (RSS)","type":"Blog/News"},{"url":"https://rnacentral.org/training","name":"RNAcentral Training","type":"Training documentation"},{"url":"https://twitter.com/RNAcentral","name":"@RNAcentral","type":"Twitter"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"url":"https://rnacentral.org/help/text-search","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://rnacentral.org/help","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001392","bsg-d001392"],"name":"FAIRsharing record for: RNAcentral","abbreviation":"RNAcentral","url":"https://fairsharing.org/10.25504/FAIRsharing.KcCjL7","doi":"10.25504/FAIRsharing.KcCjL7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAcentral is a free, public resource that offers integrated access to a comprehensive and up-to-date set of non-coding RNA sequences provided by a collaborating group of databases representing a broad range of organisms and RNA types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["Nucleic acid sequence","RNA sequence","Sequence annotation","Non-coding RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1750,"pubmed_id":30395267,"title":"RNAcentral: a hub of information for non-coding RNA sequences.","year":2018,"url":"http://doi.org/10.1093/nar/gky1034","authors":"The RNAcentral Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1034","created_at":"2021-09-30T08:25:36.393Z","updated_at":"2021-09-30T11:29:20.219Z"},{"id":2790,"pubmed_id":27794554,"title":"RNAcentral: a comprehensive database of non-coding RNA sequences.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1008","authors":"Petrov AI,Kay SJE,Kalvari I,Howe KL,Gray KA,Bruford EA,Kersey PJ,Cochrane G,Finn RD,Bateman A,Kozomara A,Griffiths-Jones S,Frankish A,Zwieb CW,Lau BY,Williams KP,Chan PP,Lowe TM,Cannone JJ,Gutell R,Machnicka MA,Bujnicki JM,Yoshihama M,Kenmochi N,Chai B,Cole JR,Szymanski M,Karlowski WM,Wood V,Huala E,Berardini TZ,Zhao Y,Chen R,Zhu W,Paraskevopoulou MD,Vlachos IS,Hatzigeorgiou AG,Ma L,Zhang Z,Puetz J,Stadler PF,McDonald D,Basu S,Fey P,Engel SR,Cherry JM,Volders PJ,Mestdagh P,Wower J,Clark MB,Quek XC,Dinger ME","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1008","created_at":"2021-09-30T08:27:43.079Z","updated_at":"2021-09-30T11:29:44.762Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1831,"relation":"undefined"}],"grants":[{"id":3702,"fairsharing_record_id":2891,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:24.134Z","updated_at":"2021-09-30T09:26:24.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3701,"fairsharing_record_id":2891,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:24.110Z","updated_at":"2021-09-30T09:26:24.110Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2892","type":"fairsharing_records","attributes":{"created_at":"2020-03-03T11:20:20.000Z","updated_at":"2023-12-15T10:32:46.466Z","metadata":{"doi":"10.25504/FAIRsharing.8b493b","name":"Food and Agriculture Microdata Catalogue","status":"ready","contacts":[{"contact_name":"FAM Helpdesk","contact_email":"FAM-Catalogue@fao.org"}],"homepage":"https://microdata.fao.org/index.php/catalog","identifier":2892,"description":"The Food and Agriculture Microdata (FAM) Catalogue provides an inventory of datasets collected through farm and household surveys which contain information related to agriculture, food security, and nutrition. The FAM catalogue is populated by datasets which are collected directly by FAO and datasets whose collection are supported in some way by FAO. Our aim is to be a one-stop-shop containing metadata on all agricultural censuses and surveys which are publically available as well as provide direct access and/or links to the microdata. FAM is continuously updated as new datasets from FAO and member countries become available. Organizations which collect relevant data are also highly encouraged to submit datasets for dissemination through FAM.","abbreviation":"FAM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.fao.org/food-agriculture-microdata/en/","name":"About FAO Microdata","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001393","bsg-d001393"],"name":"FAIRsharing record for: Food and Agriculture Microdata Catalogue","abbreviation":"FAM","url":"https://fairsharing.org/10.25504/FAIRsharing.8b493b","doi":"10.25504/FAIRsharing.8b493b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Food and Agriculture Microdata (FAM) Catalogue provides an inventory of datasets collected through farm and household surveys which contain information related to agriculture, food security, and nutrition. The FAM catalogue is populated by datasets which are collected directly by FAO and datasets whose collection are supported in some way by FAO. Our aim is to be a one-stop-shop containing metadata on all agricultural censuses and surveys which are publically available as well as provide direct access and/or links to the microdata. FAM is continuously updated as new datasets from FAO and member countries become available. Organizations which collect relevant data are also highly encouraged to submit datasets for dissemination through FAM.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Food Security","Agriculture","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"FAO copyright","licence_id":311,"licence_url":"http://www.fao.org/contact-us/terms/en/","link_id":417,"relation":"undefined"}],"grants":[{"id":3705,"fairsharing_record_id":2892,"organisation_id":2928,"relation":"funds","created_at":"2021-09-30T09:26:24.210Z","updated_at":"2021-09-30T09:26:24.210Z","grant_id":null,"is_lead":false,"saved_state":{"id":2928,"name":"United States Agency for International Development","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3703,"fairsharing_record_id":2892,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:26:24.161Z","updated_at":"2021-09-30T09:26:24.161Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3704,"fairsharing_record_id":2892,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:26:24.184Z","updated_at":"2021-09-30T09:26:24.184Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2875","type":"fairsharing_records","attributes":{"created_at":"2019-12-19T13:56:27.000Z","updated_at":"2024-04-29T14:08:33.692Z","metadata":{"doi":"10.25504/FAIRsharing.DXjTQ8","name":"InterMine","status":"ready","contacts":[{"contact_name":"The InterMine team","contact_email":"info@intermine.org"}],"homepage":"http://intermine.org/","citations":[{"doi":"10.1093/bioinformatics/bts577","pubmed_id":23023984,"publication_id":505}],"identifier":2875,"description":"InterMine was formed in 2002 at the University of Cambridge, originally as a Drosophila-dedicated resource, before expanding to become organism-agnostic, enabling a large range of organisations around the world to create their own InterMines. There are many instances of InterMine installations, relating to particular model organisms. These can be searched individually or via a cross-Mine search function.","abbreviation":"InterMine","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://intermineorg.wordpress.com/","name":"InterMine Blog","type":"Blog/News"},{"url":"http://intermine.org/intermine-user-docs/","name":"User help documentation","type":"Help documentation"},{"url":"https://lists.intermine.org/pipermail/dev/","name":"Developer mailing list","type":"Mailing list"},{"url":"https://github.com/intermine","name":"InterMine GitHub","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/model-organism-analysis-using-intermine","name":"Model organism analysis using Intermine","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-operator-manual","name":"InterMine operator manual","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-2-0","name":"Intermine 2.0","type":"TeSS links to training materials"},{"url":"https://twitter.com/intermineorg","name":"@intermineorg","type":"Twitter"}],"year_creation":2002,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001376","bsg-d001376"],"name":"FAIRsharing record for: InterMine","abbreviation":"InterMine","url":"https://fairsharing.org/10.25504/FAIRsharing.DXjTQ8","doi":"10.25504/FAIRsharing.DXjTQ8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InterMine was formed in 2002 at the University of Cambridge, originally as a Drosophila-dedicated resource, before expanding to become organism-agnostic, enabling a large range of organisations around the world to create their own InterMines. There are many instances of InterMine installations, relating to particular model organisms. These can be searched individually or via a cross-Mine search function.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11132},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11417},{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11698},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11891}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Integration","Knowledge and Information Systems","Data Management","Database Management"],"domains":["Data model","Data storage","Knowledge representation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":505,"pubmed_id":23023984,"title":"InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts577","authors":"Smith RN,Aleksic J,Butano D,Carr A,Contrino S,Hu F,Lyne M,Lyne R,Kalderimis A,Rutherford K,Stepan R,Sullivan J,Wakeling M,Watkins X,Micklem G","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts577","created_at":"2021-09-30T08:23:15.044Z","updated_at":"2021-09-30T08:23:15.044Z"},{"id":2008,"pubmed_id":24753429,"title":"InterMine: extensive web services for modern biology.","year":2014,"url":"http://doi.org/10.1093/nar/gku301","authors":"Kalderimis A,Lyne R,Butano D,Contrino S,Lyne M,Heimbach J,Hu F,Smith R,Stepan R,Sullivan J,Micklem G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku301","created_at":"2021-09-30T08:26:06.197Z","updated_at":"2021-09-30T11:29:25.560Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1661,"relation":"undefined"}],"grants":[{"id":3666,"fairsharing_record_id":2875,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:26:22.959Z","updated_at":"2021-09-30T09:26:22.959Z","grant_id":null,"is_lead":true,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3665,"fairsharing_record_id":2875,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:22.934Z","updated_at":"2021-09-30T09:26:22.934Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3667,"fairsharing_record_id":2875,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:22.985Z","updated_at":"2021-09-30T09:26:22.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2876","type":"fairsharing_records","attributes":{"created_at":"2019-12-30T06:52:27.000Z","updated_at":"2023-07-06T15:01:52.764Z","metadata":{"doi":"10.25504/FAIRsharing.Xb3LBL","name":"Population Health Data Archive","status":"ready","contacts":[{"contact_name":"PHDA","contact_email":"rkjkpt@126.com"}],"homepage":"http://www.ncmi.cn/","citations":[{"doi":"10.11925/infotech.2096-3467.2020.0954 ","pubmed_id":null,"publication_id":3896}],"identifier":2876,"description":"The National Population Health Data Center (NPHDC) is one of the 20 national science data center approved by the Ministry of Science and Technology and the Ministry of Finance. The Population Health Data Archive (PHDA) is developed by NPHDC relying on the Institute of Medical Information, Chinese Academy of Medical Sciences. PHDA mainly receives scientific data from science and technology projects supported by the national budget, and also collects data from other multiple sources such as medical and health institutions, research institutions and social individuals, which is oriented to the national big data strategy and the healthy China strategy. The data resources cover basic medicine, clinical medicine, public health, traditional Chinese medicine and pharmacy, pharmacy, population and reproduction. PHDA supports data collection, archiving, processing, storage, curation, verification, certification and release in the field of population health. Provide multiple types of data sharing and application services for different hierarchy users and help them find, access, interoperate and reuse the data in a safe and controlled environment. PHDA provides important support for promoting the open sharing of scientific data of population health and domestic and foreign cooperation.","abbreviation":"PHDA","data_curation":{"url":"https://www.ncmi.cn/phda/support.html?type=aboutuss","type":"manual/automated"},"support_links":[{"url":"http://www.ncmi.cn/phda/support.html?type=aboutus","name":"Contact","type":"Contact form"},{"url":"https://www.ncmi.cn/phda/support.html?type=guide05","name":"Support","type":"Help documentation"},{"url":"https://www.ncmi.cn/phda/video_list.html","name":"Training","type":"Training documentation"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"http://www.ncmi.cn/phda/submit.html","name":"data submit"},{"url":"http://www.ncmi.cn/phda/service.html","name":"data service"},{"url":"http://www.ncmi.cn/phda/browse.html","name":"data browse"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013199","name":"re3data:r3d100013199","portal":"re3data"}],"data_access_condition":{"type":"partially open","notes":"The data are accessible on request, after validation of the request."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.ncmi.cn/phda/support.html?type=aboutuss","name":"More information"},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001377","bsg-d001377"],"name":"FAIRsharing record for: Population Health Data Archive","abbreviation":"PHDA","url":"https://fairsharing.org/10.25504/FAIRsharing.Xb3LBL","doi":"10.25504/FAIRsharing.Xb3LBL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Population Health Data Center (NPHDC) is one of the 20 national science data center approved by the Ministry of Science and Technology and the Ministry of Finance. The Population Health Data Archive (PHDA) is developed by NPHDC relying on the Institute of Medical Information, Chinese Academy of Medical Sciences. PHDA mainly receives scientific data from science and technology projects supported by the national budget, and also collects data from other multiple sources such as medical and health institutions, research institutions and social individuals, which is oriented to the national big data strategy and the healthy China strategy. The data resources cover basic medicine, clinical medicine, public health, traditional Chinese medicine and pharmacy, pharmacy, population and reproduction. PHDA supports data collection, archiving, processing, storage, curation, verification, certification and release in the field of population health. Provide multiple types of data sharing and application services for different hierarchy users and help them find, access, interoperate and reuse the data in a safe and controlled environment. PHDA provides important support for promoting the open sharing of scientific data of population health and domestic and foreign cooperation.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12865}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genomics","Reproductive Health","Clinical Studies","Public Health","Proteomics","Human Genetics","Pharmacy","Life Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":3896,"pubmed_id":null,"title":"Data Archive for Research Projects in Population Health","year":2020,"url":"https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2020.0954","authors":"Wu Sizhu,Qian Qing,Zhou Wei,Zhong Ming,Wang Anran,Xiu Xiaolei,Gou Huan,Li Zanmei,Li Jiao,Fang An","journal":"Data Analysis and Knowledge Discovery","doi":"10.11925/infotech.2096-3467.2020.0954 ","created_at":"2023-06-09T07:12:33.577Z","updated_at":"2023-06-09T07:12:33.577Z"}],"licence_links":[],"grants":[{"id":3668,"fairsharing_record_id":2876,"organisation_id":513,"relation":"maintains","created_at":"2021-09-30T09:26:23.008Z","updated_at":"2021-09-30T09:26:23.008Z","grant_id":null,"is_lead":false,"saved_state":{"id":513,"name":"Chinese Academy of Medical Sciences \u0026 Peking Union Medical College","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3669,"fairsharing_record_id":2876,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:26:23.034Z","updated_at":"2021-09-30T09:29:11.845Z","grant_id":135,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"Precision medicine research; 2016YFC0901602","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2888","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T13:23:13.000Z","updated_at":"2023-12-15T10:30:10.139Z","metadata":{"doi":"10.25504/FAIRsharing.3J6NYn","name":"Encyclopedia of Life","status":"ready","contacts":[{"contact_name":"EOL Secretariat","contact_email":"secretariat@eol.org","contact_orcid":"0000-0002-9943-2342"}],"homepage":"https://eol.org/","citations":[],"identifier":2888,"description":"The Encyclopedia of Life (EOL) is a collaborative encyclopedia to describe all known living species. It identifies sources of biodiversity knowledge that are legally and practically shareable; integrates them with other sources and adds metadata; provides searching and other services; and collaborates with other projects to support data sharing.","abbreviation":"EOL","data_curation":{"url":"https://eol.org/docs/what-is-eol","type":"manual/automated"},"support_links":[{"url":"secretariat@eol.org","name":"Jen Hammock","type":"Support email"},{"url":"https://discuss.eol.org/","name":"EOL Open Forum","type":"Forum"},{"url":"https://eol.org/docs/what-is-eol","name":"About","type":"Help documentation"},{"url":"https://twitter.com/eol","name":"@eol","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://vera.cc.gatech.edu/docs/example","name":"VERA Modelling 1.1.3"},{"url":"https://education.eol.org/card_maker","name":"EOL Biodiversity Cards 2020"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010229","name":"re3data:r3d100010229","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005905","name":"SciCrunch:RRID:SCR_005905","portal":"SciCrunch"}],"data_access_condition":{"url":"https://eol.org/docs/what-is-eol/data-services","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001389","bsg-d001389"],"name":"FAIRsharing record for: Encyclopedia of Life","abbreviation":"EOL","url":"https://fairsharing.org/10.25504/FAIRsharing.3J6NYn","doi":"10.25504/FAIRsharing.3J6NYn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Encyclopedia of Life (EOL) is a collaborative encyclopedia to describe all known living species. It identifies sources of biodiversity knowledge that are legally and practically shareable; integrates them with other sources and adds metadata; provides searching and other services; and collaborates with other projects to support data sharing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Ecology","Biodiversity","Biology"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Egypt","Mexico","United States"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1722,"relation":"undefined"},{"licence_name":"Various Creative Commons licenses","licence_id":838,"licence_url":"https://creativecommons.org/licenses/","link_id":1721,"relation":"undefined"}],"grants":[{"id":3696,"fairsharing_record_id":2888,"organisation_id":212,"relation":"maintains","created_at":"2021-09-30T09:26:23.969Z","updated_at":"2021-09-30T09:26:23.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":212,"name":"Bibliotheca Alexandrina","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3697,"fairsharing_record_id":2888,"organisation_id":2579,"relation":"maintains","created_at":"2021-09-30T09:26:24.003Z","updated_at":"2021-09-30T09:26:24.003Z","grant_id":null,"is_lead":false,"saved_state":{"id":2579,"name":"Smithsonian National Museum of Natural History, Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2889","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T13:39:57.000Z","updated_at":"2023-12-15T10:31:35.341Z","metadata":{"doi":"10.25504/FAIRsharing.9b63c9","name":"Catalogue of Life","status":"ready","contacts":[{"contact_name":"COL Support","contact_email":"support@sp2000.org"},{"contact_name":"Olaf Bánki","contact_email":"olaf.banki@naturalis.nl","contact_orcid":"0000-0001-6197-9951"}],"homepage":"https://www.catalogueoflife.org/","citations":[],"identifier":2889,"description":"The Catalogue of Life (COL) stores information on species and their distribution across the globe. It consists of a single integrated species checklist and taxonomic hierarchy. The Catalogue holds essential information on the names, relationships and distributions of over 1.8 million species. This figure continues to rise as information is compiled from diverse sources around the world. The Catalogue of Life provides critical species information on: synonymy enabling the effective referral of alternative species names to an accepted name; higher taxa within which a species is clustered; and distribution identifying the global regions from which a species is known.","abbreviation":"COL","data_curation":{"url":"https://www.catalogueoflife.org/about/colpipeline","type":"manual"},"support_links":[{"url":"http://blog.catalogueoflife.org/","name":"COL Blog","type":"Blog/News"},{"url":"https://www.catalogueoflife.org/about/glossary.html","name":"Glossary","type":"Help documentation"},{"url":"https://www.catalogueoflife.org/about/colpipeline","name":"Data Pipeline","type":"Help documentation"},{"url":"https://www.catalogueoflife.org/about/catalogueoflife","name":"About","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011241","name":"re3data:r3d100011241","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006701","name":"SciCrunch:RRID:SCR_006701","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.catalogueoflife.org/about/colpipeline#constructing-the-col-checklist","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001390","bsg-d001390"],"name":"FAIRsharing record for: Catalogue of Life","abbreviation":"COL","url":"https://fairsharing.org/10.25504/FAIRsharing.9b63c9","doi":"10.25504/FAIRsharing.9b63c9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Catalogue of Life (COL) stores information on species and their distribution across the globe. It consists of a single integrated species checklist and taxonomic hierarchy. The Catalogue holds essential information on the names, relationships and distributions of over 1.8 million species. This figure continues to rise as information is compiled from diverse sources around the world. The Catalogue of Life provides critical species information on: synonymy enabling the effective referral of alternative species names to an accepted name; higher taxa within which a species is clustered; and distribution identifying the global regions from which a species is known.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18164},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13909}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Biodiversity"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":79,"relation":"undefined"}],"grants":[{"id":9673,"fairsharing_record_id":2889,"organisation_id":3594,"relation":"collaborates_on","created_at":"2022-07-13T12:06:05.592Z","updated_at":"2022-07-13T12:06:05.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":3594,"name":"Illinois Natural History Survey","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9674,"fairsharing_record_id":2889,"organisation_id":2094,"relation":"collaborates_on","created_at":"2022-07-13T12:06:05.737Z","updated_at":"2022-07-13T12:06:05.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":2094,"name":"Naturalis Biodiversity Center","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8847,"fairsharing_record_id":2889,"organisation_id":1166,"relation":"collaborates_on","created_at":"2022-02-10T13:19:00.094Z","updated_at":"2022-02-10T13:19:00.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":3698,"fairsharing_record_id":2889,"organisation_id":2614,"relation":"maintains","created_at":"2021-09-30T09:26:24.027Z","updated_at":"2021-09-30T09:26:24.027Z","grant_id":null,"is_lead":true,"saved_state":{"id":2614,"name":"Species 2000 Secretariat, Naturalis Biodiversity Center","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBamtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0128323693d50142f35e8b8611af053259133f88/col_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2890","type":"fairsharing_records","attributes":{"created_at":"2020-01-23T14:48:45.000Z","updated_at":"2023-12-15T10:30:37.153Z","metadata":{"doi":"10.25504/FAIRsharing.f6f1cd","name":"European and Mediterranean Plant Protection Organization Global Database","status":"ready","contacts":[{"contact_name":"EPPO Secretariat","contact_email":"hq@eppo.int"}],"homepage":"https://gd.eppo.int/","citations":[],"identifier":2890,"description":"The European and Mediterranean Plant Protection Organization Global Database (EPPO) GD provides all pest-specific information that has been produced or collected by EPPO. Data includes plant and pest species (such as scientific names, synonyms, common names in different languages, taxonomic position, EPPO codes and geographic distribution), EPPO datasheets and PRA reports, and images.","abbreviation":"EPPO GD","data_curation":{"url":"https://gd.eppo.int/media/files/photos_user-guide.pdf","type":"manual"},"support_links":[{"url":"https://gd.eppo.int/contact","name":"EPPO GD Contact Form","type":"Contact form"},{"url":"https://gd.eppo.int/media/files/general_user-guide_2019_09.pdf","name":"User Guide","type":"Help documentation"},{"url":"https://twitter.com/EPPOnews","name":"@EPPOnews","type":"Twitter"}],"year_creation":1990,"data_versioning":"yes","associated_tools":[{"url":"https://gd.eppo.int/gddesktop/","name":"EPPO GD Desktop 2019.06.28"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012225","name":"re3data:r3d100012225","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gd.eppo.int/media/files/photos_user-guide.pdf","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001391","bsg-d001391"],"name":"FAIRsharing record for: European and Mediterranean Plant Protection Organization Global Database","abbreviation":"EPPO GD","url":"https://fairsharing.org/10.25504/FAIRsharing.f6f1cd","doi":"10.25504/FAIRsharing.f6f1cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European and Mediterranean Plant Protection Organization Global Database (EPPO) GD provides all pest-specific information that has been produced or collected by EPPO. Data includes plant and pest species (such as scientific names, synonyms, common names in different languages, taxonomic position, EPPO codes and geographic distribution), EPPO datasheets and PRA reports, and images.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Forest Management","Agriculture"],"domains":["Geographical location","Pathogen"],"taxonomies":["All"],"user_defined_tags":["Invasive Species"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":3699,"fairsharing_record_id":2890,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:24.052Z","updated_at":"2021-09-30T09:26:24.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3700,"fairsharing_record_id":2890,"organisation_id":874,"relation":"maintains","created_at":"2021-09-30T09:26:24.084Z","updated_at":"2021-09-30T09:26:24.084Z","grant_id":null,"is_lead":true,"saved_state":{"id":874,"name":"EPPO Secretariat","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2886","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T12:49:11.000Z","updated_at":"2023-12-15T10:29:48.176Z","metadata":{"doi":"10.25504/FAIRsharing.yNNTvk","name":"Biodiversity Heritage Library","status":"ready","contacts":[{"contact_name":"BHL Feedback","contact_email":"feedback@biodiversitylibrary.org"}],"homepage":"https://biodiversitylibrary.org/","citations":[],"identifier":2886,"description":"The Biodiversity Heritage Library (BHL) is the world’s largest open access digital library for biodiversity literature and archives. Operating as an international library consortium, BHL provides free access to millions of pages, representing over 500 years of scientific research, alongside services like data exports, APIs, and taxonomic intelligence tools to facilitate discovery and reuse of data and collections.","abbreviation":"BHL","data_curation":{"url":"https://about.biodiversitylibrary.org/tools-and-services/data-disclaimer/","type":"manual/automated","notes":"The data in BHL’s collection is sourced and aggregated from its consortium partners and Internet Archive contributors. It is provided “as is,” without express or implied warranty as to accuracy, reliability, or fitness for any particular application. The data for digitized legacy materials is curated to the best of our ability to facilitate the discovery of BHL"},"support_links":[{"url":"https://blog.biodiversitylibrary.org/","name":"BHL Blog","type":"Blog/News"},{"url":"https://about.biodiversitylibrary.org/help/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://about.biodiversitylibrary.org/help/","name":"Help Pages","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/about/bhl-community/#Altmetric","name":"Altmetrics","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/","name":"About","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/ufaq-category/dois_uris/","name":"DOI Generation","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/about/bhl-consortium/#BHLparticipatingInstitutions","name":"BHL Members","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/about/bhl-funding/","name":"Funding Details","type":"Help documentation"},{"url":"https://github.com/gbhl/bhl-us","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/BioDivLibrary","name":"@BioDivLibrary","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"https://about.biodiversitylibrary.org/ufaq-category/scinames/","name":"Scientific Names Tools"},{"url":"https://about.biodiversitylibrary.org/ufaq-category/reftools/","name":"Reference Management Tools"}],"data_access_condition":{"url":"https://about.biodiversitylibrary.org/ufaqs/how-do-i-get-all-the-data-about-bhl-books-and-scientific-names/","type":"open","notes":"BHL provides all its bibliographic and scientific name data for download and reuse via various web-services"},"resource_sustainability":{"url":"https://about.biodiversitylibrary.org/ufaqs/how-is-bhl-funded/","name":"How is BHL funded?"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://about.biodiversitylibrary.org/ufaqs/can-i-contribute-content-to-the-bhl-collection/","type":"controlled","notes":"Incorporating content from outside our consortium partnership is tricky, but we would be glad to review your content for inclusion."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001387","bsg-d001387"],"name":"FAIRsharing record for: Biodiversity Heritage Library","abbreviation":"BHL","url":"https://fairsharing.org/10.25504/FAIRsharing.yNNTvk","doi":"10.25504/FAIRsharing.yNNTvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biodiversity Heritage Library (BHL) is the world’s largest open access digital library for biodiversity literature and archives. Operating as an international library consortium, BHL provides free access to millions of pages, representing over 500 years of scientific research, alongside services like data exports, APIs, and taxonomic intelligence tools to facilitate discovery and reuse of data and collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biodiversity"],"domains":["Citation","Bibliography","Journal article","Publication","Data storage","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2735,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1055,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1054,"relation":"applies_to_content"}],"grants":[{"id":3694,"fairsharing_record_id":2886,"organisation_id":2745,"relation":"maintains","created_at":"2021-09-30T09:26:23.903Z","updated_at":"2021-09-30T09:26:23.903Z","grant_id":null,"is_lead":true,"saved_state":{"id":2745,"name":"The Biodiversity Heritage Library (BHL)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBOQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7b189ae7502b038e3c531a8d9c0d7a32f863dd05/BHL-Combined-About-300x97.png?disposition=inline","exhaustive_licences":false}},{"id":"2887","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T13:04:35.000Z","updated_at":"2023-12-15T10:32:19.233Z","metadata":{"doi":"10.25504/FAIRsharing.dfd3a1","name":"Plants of the World Online","status":"ready","contacts":[{"contact_name":"POWO Team","contact_email":"bi@kew.org"}],"homepage":"http://powo.science.kew.org/","citations":[],"identifier":2887,"description":"The Plants of the World Online portal (POWO), is a database created to store information on all the world's known seed-bearing plants.Coverage will increase over time. Data comes from a variety of sources which are both monographic (global) and regional in scope. These data sources vary in the extent to which comprehensive synonymy is included, their stage of development (proximity to publication) and the degree to which they have been exposed to peer review.","abbreviation":"POWO","data_curation":{"url":"https://powo.science.kew.org/compilers-and-reviewers","type":"manual"},"support_links":[{"url":"http://powo.science.kew.org/search-help","name":"Help","type":"Help documentation"},{"url":"http://powo.science.kew.org/about","name":"About POWO","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001388","bsg-d001388"],"name":"FAIRsharing record for: Plants of the World Online","abbreviation":"POWO","url":"https://fairsharing.org/10.25504/FAIRsharing.dfd3a1","doi":"10.25504/FAIRsharing.dfd3a1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plants of the World Online portal (POWO), is a database created to store information on all the world's known seed-bearing plants.Coverage will increase over time. Data comes from a variety of sources which are both monographic (global) and regional in scope. These data sources vary in the extent to which comprehensive synonymy is included, their stage of development (proximity to publication) and the degree to which they have been exposed to peer review.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany"],"domains":["Data storage"],"taxonomies":["Spermatophyta"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"POWO Terms of use","licence_id":905,"licence_url":"https://www.kew.org/terms-of-use","link_id":2579,"relation":"applies_to_content"}],"grants":[{"id":3695,"fairsharing_record_id":2887,"organisation_id":2461,"relation":"maintains","created_at":"2021-09-30T09:26:23.936Z","updated_at":"2021-09-30T09:26:23.936Z","grant_id":null,"is_lead":true,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew, London, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2905","type":"fairsharing_records","attributes":{"created_at":"2020-03-11T13:52:50.000Z","updated_at":"2023-12-15T10:33:00.048Z","metadata":{"doi":"10.25504/FAIRsharing.7qBaJ0","name":"Genome Warehouse","status":"ready","contacts":[{"contact_name":"GWH Helpdesk","contact_email":"gwh@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/gwh/","identifier":2905,"description":"The Genome Warehouse (GWH) is a public archival resource housing genome-scale data for a wide range of species. GWH accepts a variety of data types, including whole genome, chloroplast, mitochondrion and plasmid. For each collected genome assembly, GWH incorporates descriptive information including biological sample metadata, genome assembly metadata, sequence data and genome annotation, and offers standardized quality control for genome sequence and annotation.","abbreviation":"GWH","data_curation":{"url":"https://ngdc.cncb.ac.cn/gwh/documents/Gsub-GWH_Submission_Quick_Start_Guide-beta.pdf","type":"automated","notes":"Gsub system checks all submitted files."},"support_links":[{"url":"https://bigd.big.ac.cn/gwh/documents","name":"Documentation for GWH Submission","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/gwh/statistics/index","name":"Statistics","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/gwh/tool_documents","name":"Documentation for GWH Tools","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013428","name":"re3data:r3d100013428","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ngdc.cncb.ac.cn/gwh/documents/Gsub-GWH_Submission_Quick_Start_Guide-beta.pdf","type":"open","notes":"Free account is required for data deposition."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001406","bsg-d001406"],"name":"FAIRsharing record for: Genome Warehouse","abbreviation":"GWH","url":"https://fairsharing.org/10.25504/FAIRsharing.7qBaJ0","doi":"10.25504/FAIRsharing.7qBaJ0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome Warehouse (GWH) is a public archival resource housing genome-scale data for a wide range of species. GWH accepts a variety of data types, including whole genome, chloroplast, mitochondrion and plasmid. For each collected genome assembly, GWH incorporates descriptive information including biological sample metadata, genome assembly metadata, sequence data and genome annotation, and offers standardized quality control for genome sequence and annotation.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12336},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12876}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Virology","Microbiology"],"domains":["DNA sequence data","Genome annotation","Genomic assembly","Plasmid","Mitochondrial sequence","Chloroplast sequence","Genome"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["China"],"publications":[{"id":513,"pubmed_id":30365034,"title":"Database Resources of the BIG Data Center in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky993","authors":"BIG Data Center Members.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky993","created_at":"2021-09-30T08:23:15.990Z","updated_at":"2021-09-30T11:28:46.885Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":445,"relation":"undefined"}],"grants":[{"id":3720,"fairsharing_record_id":2905,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.585Z","updated_at":"2021-09-30T09:26:24.585Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2906","type":"fairsharing_records","attributes":{"created_at":"2020-03-11T14:30:19.000Z","updated_at":"2023-06-23T10:41:37.687Z","metadata":{"doi":"10.25504/FAIRsharing.d90938","name":"Information Commons for Rice","status":"ready","contacts":[{"contact_name":"Lili Hao","contact_email":"haolili@big.ac.cn"}],"homepage":"http://ic4r.org","citations":[{"doi":"10.1093/nar/gkv1141","pubmed_id":26519466,"publication_id":2724}],"identifier":2906,"description":"Information Commons for Rice (IC4R) is a rice knowledgebase that incorporates rice data through multiple modules such as genome-wide expression profiles derived entirely from RNA-Seq data, resequencing-based genomic variations obtained from re-sequencing data of thousands of rice varieties, plant homologous genes covering multiple diverse plant species, post-translational modifications, rice-related literatures and gene annotations contributed by the rice research community.","abbreviation":"IC4R","data_curation":{"type":"not found"},"support_links":[{"url":"sangj@big.ac.cn","name":"Jian Sang","type":"Support email"},{"url":"http://ic4r.org/faq","name":"IC4R FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://ic4r.org/contact","name":"Contact Information","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Users can contribute by improving annotation but they can't deposit data"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001407","bsg-d001407"],"name":"FAIRsharing record for: Information Commons for Rice","abbreviation":"IC4R","url":"https://fairsharing.org/10.25504/FAIRsharing.d90938","doi":"10.25504/FAIRsharing.d90938","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Information Commons for Rice (IC4R) is a rice knowledgebase that incorporates rice data through multiple modules such as genome-wide expression profiles derived entirely from RNA-Seq data, resequencing-based genomic variations obtained from re-sequencing data of thousands of rice varieties, plant homologous genes covering multiple diverse plant species, post-translational modifications, rice-related literatures and gene annotations contributed by the rice research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","DNA sequence data","Genome annotation","Gene expression","RNA sequencing","Homologous"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":507,"pubmed_id":29036542,"title":"Database Resources of the BIG Data Center in 2018.","year":2017,"url":"http://doi.org/10.1093/nar/gkx897","authors":"BIG Data Center Members ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx897","created_at":"2021-09-30T08:23:15.298Z","updated_at":"2021-09-30T11:29:51.279Z"},{"id":2724,"pubmed_id":26519466,"title":"Information Commons for Rice (IC4R).","year":2015,"url":"http://doi.org/10.1093/nar/gkv1141","authors":"Hao L,Zhang H,Zhang Z,Hu S,Xue Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1141","created_at":"2021-09-30T08:27:34.611Z","updated_at":"2021-09-30T11:29:41.878Z"},{"id":2821,"pubmed_id":24136999,"title":"RiceWiki: a wiki-based database for community curation of rice genes.","year":2013,"url":"http://doi.org/10.1093/nar/gkt926","authors":"Zhang Z,Sang J,Ma L,Wu G,Wu H,Huang D,Zou D,Liu S,Li A,Hao L,Tian M,Xu C,Wang X,Wu J,Xiao J,Dai L,Chen LL,Hu S,Yu J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt926","created_at":"2021-09-30T08:27:46.912Z","updated_at":"2021-09-30T11:29:46.539Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":108,"relation":"undefined"}],"grants":[{"id":3721,"fairsharing_record_id":2906,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.611Z","updated_at":"2021-09-30T09:26:24.611Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2908","type":"fairsharing_records","attributes":{"created_at":"2020-03-16T11:54:12.000Z","updated_at":"2024-07-09T12:51:58.830Z","metadata":{"name":"Internal Control Genes","status":"deprecated","contacts":[{"contact_name":"Lili Hao","contact_email":"haolili@big.ac.cn"}],"homepage":"http://icg.big.ac.cn/index.php/Main_Page","citations":[{"doi":"10.1093/nar/gkx875","pubmed_id":29036693,"publication_id":2808}],"identifier":2908,"description":"Internal Control Genes (ICG) is a wiki-based knowledgebase of internal control genes (or reference genes) for RT-qPCR normalization in a variety of species across three domains of life. Based on community curation, ICG provides curated data from a large volume of literature and provides information on internal control genes corresponding to specific experimental conditions for both model and non-model organisms. ","abbreviation":"ICG","data_curation":{"type":"not found"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"http://icg.big.ac.cn/index.php/ICG:FAQ","name":"ICG FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://icg.big.ac.cn/index.php/ICG:Statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://bigd.big.ac.cn/gen/","name":"Gene Expression Nebulas (GEN) Data Portal"}],"deprecation_date":"2024-07-08","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001411","bsg-d001411"],"name":"FAIRsharing record for: Internal Control Genes","abbreviation":"ICG","url":"https://fairsharing.org/fairsharing_records/2908","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Internal Control Genes (ICG) is a wiki-based knowledgebase of internal control genes (or reference genes) for RT-qPCR normalization in a variety of species across three domains of life. Based on community curation, ICG provides curated data from a large volume of literature and provides information on internal control genes corresponding to specific experimental conditions for both model and non-model organisms. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12877}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics"],"domains":["Expression data","Real time polymerase chain reaction","Gene expression"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2808,"pubmed_id":29036693,"title":"ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization.","year":2017,"url":"http://doi.org/10.1093/nar/gkx875","authors":"Sang J,Wang Z,Li M,Cao J,Niu G,Xia L,Zou D,Wang F,Xu X,Han X,Fan J,Yang Y,Zuo W,Zhang Y,Zhao W,Bao Y,Xiao J,Hu S,Hao L,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx875","created_at":"2021-09-30T08:27:45.286Z","updated_at":"2021-09-30T11:29:45.520Z"}],"licence_links":[],"grants":[{"id":3723,"fairsharing_record_id":2908,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.683Z","updated_at":"2021-09-30T09:26:24.683Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2909","type":"fairsharing_records","attributes":{"created_at":"2020-03-16T13:55:06.000Z","updated_at":"2023-06-23T16:01:24.589Z","metadata":{"name":"Mammalian Transcriptomic Database","status":"uncertain","contacts":[{"contact_email":"junyu@big.ac.cn"}],"homepage":"http://mtd.cbi.ac.cn/","citations":[{"doi":"10.1093/bib/bbv117","pubmed_id":26822098,"publication_id":2810}],"identifier":2909,"description":"The Mammalian Transcriptomic Database (MTD) was created to store information on mammalian transcriptomes. The MTD allows browsing of genes based on their neighboring genomic coordinates or joint KEGG pathway and provides expression information on exons, transcripts and genes via a genome browser. The MTD also allows comparative transcriptomic analyses. The data in this resource has not been updated recently, and therefore we have marked this record as Uncertain. Please get in touch if you know the current status of this resource.","abbreviation":"MTD","data_curation":{"type":"not found"},"support_links":[{"url":"xiaojingfa@big.ac.cn","name":"xiaojingfa@big.ac.cn","type":"Support email"},{"url":"http://mtd.cbi.ac.cn/faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mtd.cbi.ac.cn/tutorial.php","name":"User Guide","type":"Help documentation"},{"url":"http://mtd.cbi.ac.cn/contact.php","name":"Contact Details","type":"Help documentation"},{"url":"http://mtd.cbi.ac.cn/pipeline.php","name":"Data Pipeline","type":"Help documentation"},{"url":"http://mtd.cbi.ac.cn/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://bigd.big.ac.cn/gen/","name":"Gene Expression Nebulas (GEN) Data Portal"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012214","name":"re3data:r3d100012214","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001412","bsg-d001412"],"name":"FAIRsharing record for: Mammalian Transcriptomic Database","abbreviation":"MTD","url":"https://fairsharing.org/fairsharing_records/2909","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mammalian Transcriptomic Database (MTD) was created to store information on mammalian transcriptomes. The MTD allows browsing of genes based on their neighboring genomic coordinates or joint KEGG pathway and provides expression information on exons, transcripts and genes via a genome browser. The MTD also allows comparative transcriptomic analyses. The data in this resource has not been updated recently, and therefore we have marked this record as Uncertain. Please get in touch if you know the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12878}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Transcriptomics"],"domains":["Expression data","Gene expression","RNA sequencing"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Sus scrofa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2810,"pubmed_id":26822098,"title":"MTD: a mammalian transcriptomic database to explore gene expression and regulation.","year":2016,"url":"http://doi.org/10.1093/bib/bbv117","authors":"Sheng X,Wu J,Sun Q,Li X,Xian F,Sun M,Fang W,Chen M,Yu J,Xiao J","journal":"Brief Bioinform","doi":"10.1093/bib/bbv117","created_at":"2021-09-30T08:27:45.523Z","updated_at":"2021-09-30T08:27:45.523Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1135,"relation":"undefined"}],"grants":[{"id":3724,"fairsharing_record_id":2909,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.721Z","updated_at":"2021-09-30T09:26:24.721Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2910","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T11:02:37.000Z","updated_at":"2023-06-23T15:09:39.291Z","metadata":{"doi":"10.25504/FAIRsharing.86ec7a","name":"Leaf Senescence Database","status":"ready","contacts":[{"contact_name":"Zhonghai Li","contact_email":"lizhonghai@bjfu.edu.cn"}],"homepage":"https://bigd.big.ac.cn/lsd/","citations":[{"doi":"10.1093/nar/gkz898","pubmed_id":31599330,"publication_id":2811}],"identifier":2910,"description":"The Leaf Senescence Database (LSD) is a comprehensive resource of senescence-associated genes (SAGs) and their corresponding mutants. LSD includes data types such as leaf senescence-associated transcriptomics, phenotype and interaction data.","abbreviation":"LSD","data_curation":{"type":"not found"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"https://bigd.big.ac.cn/lsd/faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bigd.big.ac.cn/lsd/help.php","name":"Help Pages","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/lsd/about.php","name":"About LSD","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001413","bsg-d001413"],"name":"FAIRsharing record for: Leaf Senescence Database","abbreviation":"LSD","url":"https://fairsharing.org/10.25504/FAIRsharing.86ec7a","doi":"10.25504/FAIRsharing.86ec7a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Leaf Senescence Database (LSD) is a comprehensive resource of senescence-associated genes (SAGs) and their corresponding mutants. LSD includes data types such as leaf senescence-associated transcriptomics, phenotype and interaction data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Transcriptomics","Plant Genetics"],"domains":["Molecular interaction","Phenotype"],"taxonomies":["Viridiplantae"],"user_defined_tags":["Senescence"],"countries":["China"],"publications":[{"id":2811,"pubmed_id":31599330,"title":"LSD 3.0: a comprehensive resource for the leaf senescence research community.","year":2019,"url":"http://doi.org/10.1093/nar/gkz898","authors":"Li Z,Zhang Y,Zou D,Zhao Y,Wang HL,Zhang Y,Xia X,Luo J,Guo H,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz898","created_at":"2021-09-30T08:27:45.637Z","updated_at":"2021-09-30T11:29:45.620Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":106,"relation":"undefined"}],"grants":[{"id":3725,"fairsharing_record_id":2910,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.754Z","updated_at":"2021-09-30T09:26:24.754Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2911","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T11:24:27.000Z","updated_at":"2023-12-15T10:28:14.519Z","metadata":{"doi":"10.25504/FAIRsharing.d1a9bd","name":"MethBank","status":"ready","contacts":[{"contact_name":"Rujiao Li","contact_email":"lirj@big.ac.cn"},{"contact_name":"General Contact","contact_email":"methbank@big.ac.cn","contact_orcid":null}],"homepage":"https://ngdc.cncb.ac.cn/methbank/","citations":[{"doi":"10.1093/nar/gkx1139","pubmed_id":29161430,"publication_id":2812}],"identifier":2911,"description":"MethBank stores DNA methylome data across a variety of species. MethBank integrates consensus reference methylomes (CRMs) compiled from healthy human samples at different ages, single-base resolution methylomes (SRMs) of both plant and animal species.","abbreviation":"MethBank","data_curation":{"url":"https://ngdc.cncb.ac.cn/methbank/faq","type":"manual/automated"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"methbank@big.ac.cn","name":"methbank@big.ac.cn","type":"Support email"},{"url":"https://bigd.big.ac.cn/methbank/faq","name":"FAQ and Documentation","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/methbank/release","name":"Release Notes","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"https://ngdc.cncb.ac.cn/methbank/tools/age/predictor","name":"Age Predictor"},{"url":"http://wbsa.big.ac.cn/","name":"Web Tools for Bisulphite Sequencing Data Analysis (WBSA)"},{"url":"https://ngdc.cncb.ac.cn/methbank/tools/dmr/toolkit","name":"DMR Toolkit"},{"url":"https://ngdc.cncb.ac.cn/methbank/tools/idmp","name":"Identification of Differentially Methylated Polymers (IDMP)"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001414","bsg-d001414"],"name":"FAIRsharing record for: MethBank","abbreviation":"MethBank","url":"https://fairsharing.org/10.25504/FAIRsharing.d1a9bd","doi":"10.25504/FAIRsharing.d1a9bd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MethBank stores DNA methylome data across a variety of species. MethBank integrates consensus reference methylomes (CRMs) compiled from healthy human samples at different ages, single-base resolution methylomes (SRMs) of both plant and animal species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12879}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenomics","Epigenetics"],"domains":["DNA methylation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2812,"pubmed_id":29161430,"title":"MethBank 3.0: a database of DNA methylomes across a variety of species.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1139","authors":"Li R,Liang F,Li M,Zou D,Sun S,Zhao Y,Zhao W,Bao Y,Xiao J,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1139","created_at":"2021-09-30T08:27:45.777Z","updated_at":"2021-09-30T11:29:45.720Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2718,"relation":"applies_to_content"}],"grants":[{"id":3726,"fairsharing_record_id":2911,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.787Z","updated_at":"2021-09-30T09:26:24.787Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaW9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--96394b571bd60ae8d555cf5283d5e3d8a46e1b61/mb.png?disposition=inline","exhaustive_licences":false}},{"id":"2912","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T12:58:02.000Z","updated_at":"2023-12-15T10:32:35.755Z","metadata":{"doi":"10.25504/FAIRsharing.436c95","name":"NucMap","status":"ready","contacts":[{"contact_name":"NucMap Helpdesk","contact_email":"nucmap@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/nucmap/","citations":[{"doi":"10.1093/nar/gky980","pubmed_id":30335176,"publication_id":2815}],"identifier":2912,"description":"NucMap is a database of genome-wide nucleosome positioning across multiple species. Based on raw sequence data from published studies, NucMap integrates, analyzes, and visualizes nucleosome positioning data across species.","abbreviation":"NucMap","data_curation":{"url":"https://ngdc.cncb.ac.cn/nucmap/Faq.php#q12","type":"manual/automated"},"support_links":[{"url":"https://bigd.big.ac.cn/nucmap/Faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bigd.big.ac.cn/nucmap/Data_statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"https://bigd.big.ac.cn/nucmap/Analysis.php","name":"Enrichment analysis of nucleosome occupancy"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001415","bsg-d001415"],"name":"FAIRsharing record for: NucMap","abbreviation":"NucMap","url":"https://fairsharing.org/10.25504/FAIRsharing.436c95","doi":"10.25504/FAIRsharing.436c95","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NucMap is a database of genome-wide nucleosome positioning across multiple species. Based on raw sequence data from published studies, NucMap integrates, analyzes, and visualizes nucleosome positioning data across species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12880}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Structural Biology"],"domains":["Molecular structure","DNA structural variation","Histone"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Candida albicans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Neurospora crassa","Oryza sativa","Plasmodium falciparum","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Trypanosoma brucei","Xenopus laevis","Zea mays"],"user_defined_tags":["Nucleosome"],"countries":["China"],"publications":[{"id":2815,"pubmed_id":30335176,"title":"NucMap: a database of genome-wide nucleosome positioning map across species.","year":2018,"url":"http://doi.org/10.1093/nar/gky980","authors":"Zhao Y,Wang J,Liang F,Liu Y,Wang Q,Zhang H,Jiang M,Zhang Z,Zhao W,Bao Y,Zhang Z,Wu J,Asmann YW,Li R,Xiao J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky980","created_at":"2021-09-30T08:27:46.169Z","updated_at":"2021-09-30T11:29:46.119Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1136,"relation":"undefined"}],"grants":[{"id":3727,"fairsharing_record_id":2912,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.810Z","updated_at":"2021-09-30T09:26:24.810Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2913","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T13:37:18.000Z","updated_at":"2023-12-15T10:30:42.380Z","metadata":{"doi":"10.25504/FAIRsharing.4ef690","name":"Plant Editosome Database","status":"ready","contacts":[{"contact_name":"Lili Hao","contact_email":"haolili@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/ped","citations":[{"doi":"10.1093/nar/gky1026","pubmed_id":30364952,"publication_id":2816}],"identifier":2913,"description":"The Plant Editosome Database (PED) is a curated database of plant RNA editing factors (editosomes). The data has been drawn from publications and organelle genome annotations. PED incorporates RNA editing factors and associated data across a number of plant species.","abbreviation":"PED","data_curation":{"url":"https://ngdc.cncb.ac.cn/ped/help#curationmodel","type":"manual"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"https://bigd.big.ac.cn/ped/help","name":"Help Pages","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001416","bsg-d001416"],"name":"FAIRsharing record for: Plant Editosome Database","abbreviation":"PED","url":"https://fairsharing.org/10.25504/FAIRsharing.4ef690","doi":"10.25504/FAIRsharing.4ef690","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Editosome Database (PED) is a curated database of plant RNA editing factors (editosomes). The data has been drawn from publications and organelle genome annotations. PED incorporates RNA editing factors and associated data across a number of plant species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Plant Genetics"],"domains":["RNA modification","Organelle"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2816,"pubmed_id":30364952,"title":"Plant editosome database: a curated database of RNA editosome in plants.","year":2018,"url":"http://doi.org/10.1093/nar/gky1026","authors":"Li M,Xia L,Zhang Y,Niu G,Li M,Wang P,Zhang Y,Sang J,Zou D,Hu S,Hao L,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1026","created_at":"2021-09-30T08:27:46.286Z","updated_at":"2021-09-30T11:29:46.212Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1264,"relation":"undefined"}],"grants":[{"id":3728,"fairsharing_record_id":2913,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.836Z","updated_at":"2021-09-30T09:26:24.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2914","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T14:22:27.000Z","updated_at":"2023-12-15T10:32:36.068Z","metadata":{"doi":"10.25504/FAIRsharing.0ee3ed","name":"PGG.Han","status":"ready","contacts":[{"contact_name":"PGG.Han Helpdesk","contact_email":"pggadmin@picb.ac.cn"}],"homepage":"https://www.biosino.org/pgghan2/index","citations":[{"doi":"10.1093/nar/gkz829","pubmed_id":31584086,"publication_id":2817}],"identifier":2914,"description":"The Han Chinese Genomes Database (PGG.Han 2.0) serves as the central repository of the genomic data of the Han Chinese Genomes Project (Phase II). As is its current version, PGG.Han 2.0 archives genomic data of 137,012 Han Chinese individuals (a.k.a. Han100K). Some computational tools are available, as is an interface for data analysis and results visualization.","abbreviation":"PGG.Han","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.biosino.org/pgghan2/about","name":"About","type":"Help documentation"},{"url":"https://www.biosino.org/pgghan2/help","name":"General Help","type":"Help documentation"},{"url":"https://www.biosino.org/pgghan2/data/summary","name":"Summary information for data sets","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","data_access_condition":{"url":"https://www.biosino.org/pgghan2/about","type":"partially open","notes":"Individual-level data not available; larger-scale data is available"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.biosino.org/pgghan2/about#tab-3","type":"not applicable","notes":"Data is taken from study participants only"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001417","bsg-d001417"],"name":"FAIRsharing record for: PGG.Han","abbreviation":"PGG.Han","url":"https://fairsharing.org/10.25504/FAIRsharing.0ee3ed","doi":"10.25504/FAIRsharing.0ee3ed","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Han Chinese Genomes Database (PGG.Han 2.0) serves as the central repository of the genomic data of the Han Chinese Genomes Project (Phase II). As is its current version, PGG.Han 2.0 archives genomic data of 137,012 Han Chinese individuals (a.k.a. Han100K). Some computational tools are available, as is an interface for data analysis and results visualization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Population Genetics"],"domains":["Single nucleotide polymorphism","Sequence variant","Genome-wide association study","Allele frequency"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2817,"pubmed_id":31584086,"title":"PGG.Han: the Han Chinese genome database and analysis platform.","year":2019,"url":"http://doi.org/10.1093/nar/gkz829","authors":"Gao Y,Zhang C,Yuan L,Ling Y,Wang X,Liu C,Pan Y,Zhang X,Ma X,Wang Y,Lu Y,Yuan K,Ye W,Qian J,Chang H,Cao R,Yang X,Ma L,Ju Y,Dai L,Tang Y,Zhang G,Xu S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz829","created_at":"2021-09-30T08:27:46.444Z","updated_at":"2021-09-30T11:29:46.305Z"}],"licence_links":[],"grants":[{"id":3729,"fairsharing_record_id":2914,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.860Z","updated_at":"2021-09-30T09:26:24.860Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3730,"fairsharing_record_id":2914,"organisation_id":381,"relation":"maintains","created_at":"2021-09-30T09:26:24.886Z","updated_at":"2021-09-30T09:26:24.886Z","grant_id":null,"is_lead":true,"saved_state":{"id":381,"name":"CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVlEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--cec6972537e8f66a4e1b285c446d47f8a2c6dc53/logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2936","type":"fairsharing_records","attributes":{"created_at":"2020-04-07T10:00:50.000Z","updated_at":"2023-05-05T10:54:25.810Z","metadata":{"doi":"10.25504/FAIRsharing.88637f","name":"Surveillance Epidemiology of Coronavirus (COVID-19) Under Research Exclusion - IBD","status":"deprecated","contacts":[{"contact_name":"Michael D. Kappelman","contact_email":"Michael_Kappelman@med.unc.edu","contact_orcid":"0000-0002-0469-6856"}],"homepage":"https://covidibd.org/","citations":[],"identifier":2936,"description":"Surveillance Epidemiology of Coronavirus Under Research Exclusion (SECURE-IBD) is an international, pediatric and adult database to monitor and report on outcomes of COVID-19 occurring in IBD patients. The goals of the registry is to rapidly define the impact of COVID-19 on patients with IBD and how factors such as age, comorbidities, and IBD treatments impact COVID outcomes.","abbreviation":"SECURE-IBD","data_curation":{"type":"not found"},"support_links":[{"url":"COVID.IBD@unc.edu","name":"General contact","type":"Support email"},{"url":"https://covidibd.org/faq/","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2020,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013313","name":"re3data:r3d100013313","portal":"re3data"}],"deprecation_date":"2023-05-05","deprecation_reason":"SECURE-IBD database is closed since January 24th, 2022.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001439","bsg-d001439"],"name":"FAIRsharing record for: Surveillance Epidemiology of Coronavirus (COVID-19) Under Research Exclusion - IBD","abbreviation":"SECURE-IBD","url":"https://fairsharing.org/10.25504/FAIRsharing.88637f","doi":"10.25504/FAIRsharing.88637f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Surveillance Epidemiology of Coronavirus Under Research Exclusion (SECURE-IBD) is an international, pediatric and adult database to monitor and report on outcomes of COVID-19 occurring in IBD patients. The goals of the registry is to rapidly define the impact of COVID-19 on patients with IBD and how factors such as age, comorbidities, and IBD treatments impact COVID outcomes.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12352},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12899}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Bowel disease","COVID-19"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3783,"fairsharing_record_id":2936,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:26:26.362Z","updated_at":"2021-09-30T09:26:26.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3784,"fairsharing_record_id":2936,"organisation_id":3107,"relation":"maintains","created_at":"2021-09-30T09:26:26.386Z","updated_at":"2021-09-30T09:26:26.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2937","type":"fairsharing_records","attributes":{"created_at":"2020-04-23T09:44:58.000Z","updated_at":"2022-07-20T12:34:25.850Z","metadata":{"name":"Disaster Lit","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"dimrc@nlm.nih.gov"}],"homepage":"https://disasterinfo.nlm.nih.gov/disaster-lit","identifier":2937,"description":"Disaster Lit: Database for Disaster Medicine and Public Health is the National Library of Medicine (NLM) database of links to disaster medicine and public health documents available on the Internet at no cost. Documents include expert guidelines, research reports, conference proceedings, training classes, fact sheets, websites, databases, and similar materials for a professional audience. NLM selects materials from over 1,400 non-commercial publishing sources and supplements disaster-related resources from PubMed (biomedical journal literature) and MedlinePlus (health information for the public).","abbreviation":"Disaster Lit","data_curation":{"type":"not found"},"support_links":[{"url":"https://disasterinfo.nlm.nih.gov/disaster-lit-help","type":"Help documentation"},{"url":"https://public.govdelivery.com/accounts/USNLMDIMRC/subscriber/new","type":"Mailing list"},{"url":"https://list.nih.gov/cgi-bin/wa.exe?SUBED1=disastr-outreach-lib\u0026A=1","name":"Interactive discussion list with other librarians, information specialists, and professionals","type":"Mailing list"},{"url":"https://disasterinfo.nlm.nih.gov/disaster-lit-about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/NLM_DIMRC","type":"Twitter"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-27","deprecation_reason":"This resource was discontinued in June 2021. Please see https://www.nlm.nih.gov/dimrc/disasterinfo.html for more information","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001441","bsg-d001441"],"name":"FAIRsharing record for: Disaster Lit","abbreviation":"Disaster Lit","url":"https://fairsharing.org/fairsharing_records/2937","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Disaster Lit: Database for Disaster Medicine and Public Health is the National Library of Medicine (NLM) database of links to disaster medicine and public health documents available on the Internet at no cost. Documents include expert guidelines, research reports, conference proceedings, training classes, fact sheets, websites, databases, and similar materials for a professional audience. NLM selects materials from over 1,400 non-commercial publishing sources and supplements disaster-related resources from PubMed (biomedical journal literature) and MedlinePlus (health information for the public).","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12353},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12900}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Virology","Biomedical Science","Epidemiology"],"domains":["Text mining"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NLM NIH Copyright","licence_id":593,"licence_url":"http://www.nlm.nih.gov/copyright.html","link_id":751,"relation":"undefined"}],"grants":[{"id":3785,"fairsharing_record_id":2937,"organisation_id":766,"relation":"maintains","created_at":"2021-09-30T09:26:26.412Z","updated_at":"2021-09-30T09:26:26.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":766,"name":"Disaster Information Management Research Center (DIMRC), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2915","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T14:36:37.000Z","updated_at":"2023-06-21T09:30:38.297Z","metadata":{"name":"PGG.SNV","status":"deprecated","contacts":[{"contact_name":"PGG.SNV Helpdesk","contact_email":"pggadmin@picb.ac.cn"}],"homepage":"https://www.pggsnv.org","citations":[{"doi":"10.1186/s13059-019-1838-5","pubmed_id":31640808,"publication_id":2820}],"identifier":2915,"description":"PGG.SNV is database for understanding the evolutionary and medical implications of human single nucleotide variation (SNV) on a population level. It documents more than 300,000 genomes and 10 billion allele frequencies records for diverse human ethnic groups.","abbreviation":"PGG.SNV","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.pggsnv.org/userguide.html","name":"User Guide","type":"Help documentation"},{"url":"https://www.pggsnv.org/statistics.html","name":"Statistics","type":"Help documentation"},{"url":"https://www.pggsnv.org/update.html","name":"News","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://www.pggsnv.org/tools.html","name":"Tool Listing"}],"deprecation_date":"2023-06-21","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001418","bsg-d001418"],"name":"FAIRsharing record for: PGG.SNV","abbreviation":"PGG.SNV","url":"https://fairsharing.org/fairsharing_records/2915","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PGG.SNV is database for understanding the evolutionary and medical implications of human single nucleotide variation (SNV) on a population level. It documents more than 300,000 genomes and 10 billion allele frequencies records for diverse human ethnic groups.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12881}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Population Genetics"],"domains":["Single nucleotide polymorphism","Sequence variant"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2820,"pubmed_id":31640808,"title":"PGG.SNV: understanding the evolutionary and medical implications of human single nucleotide variations in diverse populations.","year":2019,"url":"http://doi.org/10.1186/s13059-019-1838-5","authors":"Zhang C,Gao Y,Ning Z,Lu Y,Zhang X,Liu J,Xie B,Xue Z,Wang X,Yuan K,Ge X,Pan Y,Liu C,Tian L,Wang Y,Lu D,Hoh BP,Xu S","journal":"Genome Biol","doi":"10.1186/s13059-019-1838-5","created_at":"2021-09-30T08:27:46.797Z","updated_at":"2021-09-30T08:27:46.797Z"}],"licence_links":[],"grants":[{"id":3732,"fairsharing_record_id":2915,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.936Z","updated_at":"2021-09-30T09:26:24.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3731,"fairsharing_record_id":2915,"organisation_id":381,"relation":"maintains","created_at":"2021-09-30T09:26:24.910Z","updated_at":"2021-09-30T09:26:24.910Z","grant_id":null,"is_lead":true,"saved_state":{"id":381,"name":"CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2916","type":"fairsharing_records","attributes":{"created_at":"2020-04-02T11:08:25.000Z","updated_at":"2023-06-22T16:34:32.207Z","metadata":{"doi":"10.25504/FAIRsharing.ca4ce0","name":"The Global Health Observatory","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"gho_info@who.int","contact_orcid":null}],"homepage":"https://www.who.int/data/gho","citations":[],"identifier":2916,"description":"The GHO data repository is WHO's gateway to health-related statistics for its 194 Member States. It provides access to over 1000 indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.","abbreviation":"GHO","data_curation":{"type":"none"},"support_links":[{"url":"https://www.who.int/data/gho/info/contact-us","name":"Contact Us","type":"Contact form"},{"url":"https://www.who.int/data/gho/info/frequently-asked-questions","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"no","data_access_condition":{"url":"https://www.who.int/data/gho/info/about-the-observatory","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.who.int/data/gho/info/about-the-observatory","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001419","bsg-d001419"],"name":"FAIRsharing record for: The Global Health Observatory","abbreviation":"GHO","url":"https://fairsharing.org/10.25504/FAIRsharing.ca4ce0","doi":"10.25504/FAIRsharing.ca4ce0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GHO data repository is WHO's gateway to health-related statistics for its 194 Member States. It provides access to over 1000 indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12337},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12882},{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16781}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Services Research","Public Health","Health Science","Global Health","Primary Health Care","Virology","Epidemiology","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":3733,"fairsharing_record_id":2916,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:26:24.960Z","updated_at":"2022-07-19T19:56:22.638Z","grant_id":null,"is_lead":true,"saved_state":{"id":3252,"name":"World Health Organization","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2917","type":"fairsharing_records","attributes":{"created_at":"2020-04-17T10:16:04.000Z","updated_at":"2023-12-15T10:29:07.935Z","metadata":{"doi":"10.25504/FAIRsharing.ec45c4","name":"Coronavirus Antiviral Research Database","status":"ready","contacts":[{"contact_name":"HIV Drug resistance Database team","contact_email":"hivdbteam@stanford.edu"}],"homepage":"https://covdb.stanford.edu/","citations":[],"identifier":2917,"description":"COVDB contains cell culture, animal model, and clinical data on compounds with a proven or potential anti-coronavirus activity.","abbreviation":"COVDB","data_curation":{"url":"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0261045","type":"manual/automated"},"support_links":[{"url":"https://github.com/hivdb/covid-drdb-payload/issues/new?assignees=KaimingTao%2C+philiptzou\u0026labels=bug\u0026template=data-error-report.md\u0026title=%5BBUG%5D","name":"Report a bug","type":"Contact form"}],"year_creation":2020,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013298","name":"re3data:r3d100013298","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://github.com/hivdb/covid-drdb-payload/issues/new?assignees=KaimingTao\u0026labels=enhancement\u0026template=suggest-new-study.md\u0026title=%5BNew%5D","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001420","bsg-d001420"],"name":"FAIRsharing record for: Coronavirus Antiviral Research Database","abbreviation":"COVDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ec45c4","doi":"10.25504/FAIRsharing.ec45c4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: COVDB contains cell culture, animal model, and clinical data on compounds with a proven or potential anti-coronavirus activity.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12338},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12883}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Clinical Studies","Virology"],"domains":["Animal research","Cell culture"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"COVDB Terms of Use","licence_id":153,"licence_url":"https://covdb.stanford.edu/terms-of-use/","link_id":1634,"relation":"undefined"}],"grants":[{"id":3734,"fairsharing_record_id":2917,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:26:24.986Z","updated_at":"2021-09-30T09:26:24.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2919","type":"fairsharing_records","attributes":{"created_at":"2020-03-18T13:34:03.000Z","updated_at":"2023-06-23T15:54:30.807Z","metadata":{"doi":"10.25504/FAIRsharing.18e4a6","name":"piRBase","status":"ready","contacts":[{"contact_name":"Shunmin He","contact_email":"heshunmin@ibp.ac.cn"}],"homepage":"http://bigdata.ibp.ac.cn/piRBase/","citations":[{"doi":"10.1093/nar/gky1043","pubmed_id":30371818,"publication_id":2536}],"identifier":2919,"description":"piRBase stores information on piRNAs and piRNA-associated data to support piRNA functional analysis.","abbreviation":"piRBase","data_curation":{"type":"manual","notes":"piRBase is a manually curated resource focused on assisting piRNA functionality analysis."},"support_links":[{"url":"crs@ibp.ac.cn","name":"Runsheng Chen","type":"Support email"},{"url":"http://bigdata.ibp.ac.cn/piRBase/about.php#piRBase","name":"piRBase introduction","type":"Help documentation"},{"url":"http://bigdata.ibp.ac.cn/piRBase/about.php#tutorial","name":"piRBase Tutorial","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://bigdata.ibp.ac.cn/piRBase/tools.php","name":"porBase Tools"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001422","bsg-d001422"],"name":"FAIRsharing record for: piRBase","abbreviation":"piRBase","url":"https://fairsharing.org/10.25504/FAIRsharing.18e4a6","doi":"10.25504/FAIRsharing.18e4a6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: piRBase stores information on piRNAs and piRNA-associated data to support piRNA functional analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics"],"domains":["Function analysis","Non-coding RNA"],"taxonomies":["Bombyx mori","Bos taurus","Caenorhabditis elegans","Callithrix jacchus","Danio rerio","Drosophila erecta","Drosophila melanogaster","Drosophila virilis","Drosophila yakuba","Gallus gallus","Homo sapiens","Macaca fascicularis","Macaca mulatta","Mus musculus","Nematostella vectensis","Oryctolagus cuniculus","Rattus norvegicus","Tupaia belangeri","Xenopus tropicalis"],"user_defined_tags":["Piwi-interacting RNA (piRNA)"],"countries":["China"],"publications":[{"id":2536,"pubmed_id":30371818,"title":"piRBase: a comprehensive database of piRNA sequences.","year":2018,"url":"http://doi.org/10.1093/nar/gky1043","authors":"Wang J,Zhang P,Lu Y,Li Y,Zheng Y,Kan Y,Chen R,He S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1043","created_at":"2021-09-30T08:27:11.073Z","updated_at":"2021-09-30T11:29:38.987Z"}],"licence_links":[],"grants":[{"id":3738,"fairsharing_record_id":2919,"organisation_id":1633,"relation":"maintains","created_at":"2021-09-30T09:26:25.116Z","updated_at":"2021-09-30T09:26:25.116Z","grant_id":null,"is_lead":true,"saved_state":{"id":1633,"name":"Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3737,"fairsharing_record_id":2919,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:25.075Z","updated_at":"2021-09-30T09:26:25.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2920","type":"fairsharing_records","attributes":{"created_at":"2020-03-19T09:19:33.000Z","updated_at":"2023-12-15T10:32:11.501Z","metadata":{"name":"Sorghum Genome SNP Database","status":"uncertain","contacts":[{"contact_name":"SorGSD General Contact","contact_email":"sorgsd@big.ac.cn"}],"homepage":"http://sorgsd.big.ac.cn/","citations":[{"doi":"10.1186/s13068-015-0415-8","pubmed_id":26744602,"publication_id":2823}],"identifier":2920,"description":"The Sorghum Genome SNP Database (SorGSD) is a genome variation database for sorghum. Please note that this resource has not been updated since 2015, and therefore we have marked its status as Uncertain. Please contact us if you have information on its current status.","abbreviation":"SorGSD","data_curation":{"type":"not found"},"support_links":[{"url":"http://sorgsd.big.ac.cn/pages/help/faqs.jsp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://sorgsd.big.ac.cn/pages/about/resources.jsp","name":"Resources Used","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/about.jsp","name":"Overview of SorGSD","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/data_sources.jsp","name":"Pipeline Documentation","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/data_statistics.jsp","name":"Statistics","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/contact.jsp","name":"Contact Information","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/about/SorghumGenome.jsp","name":"About Sorghum","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/howtos.jsp","name":"How-To Examples","type":"Training documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://sorgsd.big.ac.cn/pages/search/compare_snp.jsp","name":"Comparison Tool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001423","bsg-d001423"],"name":"FAIRsharing record for: Sorghum Genome SNP Database","abbreviation":"SorGSD","url":"https://fairsharing.org/fairsharing_records/2920","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sorghum Genome SNP Database (SorGSD) is a genome variation database for sorghum. Please note that this resource has not been updated since 2015, and therefore we have marked its status as Uncertain. Please contact us if you have information on its current status.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Genomics","Agriculture","Plant Genetics"],"domains":["Single nucleotide polymorphism"],"taxonomies":["Sorghum bicolor"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2822,"pubmed_id":26884811,"title":"Erratum to: SorGSD: a sorghum genome SNP database.","year":2016,"url":"http://doi.org/10.1186/s13068-016-0450-0","authors":"Luo H,Zhao W,Wang Y,Xia Y,Wu X,Zhang L,Tang B,Zhu J,Fang L,Du Z,Bekele WA,Tai S,Jordan DR,Godwin ID,Snowdon RJ,Mace ES,Luo J,Jing HC","journal":"Biotechnol Biofuels","doi":"10.1186/s13068-016-0450-0","created_at":"2021-09-30T08:27:47.080Z","updated_at":"2021-09-30T08:27:47.080Z"},{"id":2823,"pubmed_id":26744602,"title":"SorGSD: a sorghum genome SNP database.","year":2016,"url":"http://doi.org/10.1186/s13068-015-0415-8","authors":"Luo H,Zhao W,Wang Y,Xia Y,Wu X,Zhang L,Tang B,Zhu J,Fang L,Du Z,Bekele WA,Tai S,Jordan DR,Godwin ID,Snowdon RJ,Mace ES,Jing HC,Luo J","journal":"Biotechnol Biofuels","doi":"10.1186/s13068-015-0415-8","created_at":"2021-09-30T08:27:47.189Z","updated_at":"2021-09-30T08:27:47.189Z"}],"licence_links":[],"grants":[{"id":3741,"fairsharing_record_id":2920,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:26:25.229Z","updated_at":"2021-09-30T09:26:25.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3739,"fairsharing_record_id":2920,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:25.158Z","updated_at":"2021-09-30T09:26:25.158Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3740,"fairsharing_record_id":2920,"organisation_id":1409,"relation":"maintains","created_at":"2021-09-30T09:26:25.196Z","updated_at":"2021-09-30T09:26:25.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":1409,"name":"Institute of Botany, Chinese Academy of Sciences (CAS), Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2921","type":"fairsharing_records","attributes":{"created_at":"2020-03-19T10:00:33.000Z","updated_at":"2022-07-20T10:51:24.962Z","metadata":{"name":"WikiCell","status":"deprecated","contacts":[{"contact_name":"WikiCell General Contact","contact_email":"wikicell@big.ac.cn"}],"homepage":"http://wikicell.big.ac.cn/index.php/Human","citations":[{"doi":"10.1089/omi.2011.0139","pubmed_id":22702248,"publication_id":2537}],"identifier":2921,"description":"WikiCell provides a wiki interface to information about the human transcriptome and stores information on Expressed Sequenced Tags (ESTs). Users can access, curate, and submit database data as well as browse, query, and up- and download sequences. Gene information is provided, including housekeeping genes, taxonomy location, and gene ontology (GO) description.","abbreviation":"WikiCell","data_curation":{"type":"not found"},"support_links":[{"url":"http://wikicell.big.ac.cn/index.php/Help:Contents","name":"Help Pages","type":"Help documentation"},{"url":"http://wikicell.big.ac.cn/index.php/Documents-url","name":"About","type":"Help documentation"},{"url":"http://wikicell.big.ac.cn/index.php/Special:Statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001424","bsg-d001424"],"name":"FAIRsharing record for: WikiCell","abbreviation":"WikiCell","url":"https://fairsharing.org/fairsharing_records/2921","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WikiCell provides a wiki interface to information about the human transcriptome and stores information on Expressed Sequenced Tags (ESTs). Users can access, curate, and submit database data as well as browse, query, and up- and download sequences. Gene information is provided, including housekeeping genes, taxonomy location, and gene ontology (GO) description.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12885}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Transcriptomics"],"domains":["Expression data"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2537,"pubmed_id":22702248,"title":"WikiCell: a unified resource platform for human transcriptomics research.","year":2012,"url":"http://doi.org/10.1089/omi.2011.0139","authors":"Zhao D,Wu J,Zhou Y,Gong W,Xiao J,Yu J","journal":"OMICS","doi":"10.1089/omi.2011.0139","created_at":"2021-09-30T08:27:11.183Z","updated_at":"2021-09-30T08:27:11.183Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License 1.2","licence_id":354,"licence_url":"https://www.gnu.org/licenses/old-licenses/fdl-1.2.en.html","link_id":1858,"relation":"undefined"}],"grants":[{"id":3742,"fairsharing_record_id":2921,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:25.263Z","updated_at":"2021-09-30T09:26:25.263Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2929","type":"fairsharing_records","attributes":{"created_at":"2020-05-02T13:14:23.000Z","updated_at":"2023-12-15T10:27:17.806Z","metadata":{"doi":"10.25504/FAIRsharing.JGEjCW","name":"The Tromsø Repository of Language and Linguistics","status":"ready","contacts":[{"contact_name":"UiT Research Data Support","contact_email":"researchdata@hjelp.uit.no"}],"homepage":"https://trolling.uit.no/","citations":[],"identifier":2929,"description":"The Tromsø Repository of Language and Linguistics (TROLLing) is a repository of data, code, and other related materials used in linguistic research. The repository is open access, which means that all information is available to everyone. All postings are accompanied by searchable metadata that identify the researchers, the languages and linguistic phenomena involved, the statistical methods applied, and scholarly publications based on the data (where relevant). DataverseNO is aligned with the FAIR Guiding Principles for scientific data management and stewardship. Being part of DataverseNO, TROLLing is CoreTrustSeal certified.","abbreviation":"TROLLing","data_curation":{"url":"https://site.uit.no/dataverseno/about/#data-curation-and-preservation","type":"manual"},"support_links":[{"url":"https://info.trolling.uit.no/","name":"The TROLLing Blog","type":"Blog/News"},{"url":"researchdata@hjelp.uit.no","name":"Support","type":"Support email"},{"url":"https://site.uit.no/trolling/getting-started/how-to-archive/","name":"How to archive your data in TROLLing","type":"Help documentation"},{"url":"https://site.uit.no/dataverseno/deposit/prepare/","name":"How to prepare your data for archiving in TROLLing","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011623","name":"re3data:r3d100011623","portal":"re3data"}],"data_access_condition":{"url":"https://site.uit.no/dataverseno/about/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://site.uit.no/dataverseno/about/policy-framework/preservation-policy/","name":"Preservation Policy"},"data_deposition_condition":{"url":"https://site.uit.no/dataverseno/deposit/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001432","bsg-d001432"],"name":"FAIRsharing record for: The Tromsø Repository of Language and Linguistics","abbreviation":"TROLLing","url":"https://fairsharing.org/10.25504/FAIRsharing.JGEjCW","doi":"10.25504/FAIRsharing.JGEjCW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Tromsø Repository of Language and Linguistics (TROLLing) is a repository of data, code, and other related materials used in linguistic research. The repository is open access, which means that all information is available to everyone. All postings are accompanied by searchable metadata that identify the researchers, the languages and linguistic phenomena involved, the statistical methods applied, and scholarly publications based on the data (where relevant). DataverseNO is aligned with the FAIR Guiding Principles for scientific data management and stewardship. Being part of DataverseNO, TROLLing is CoreTrustSeal certified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Classical Philology","Applied Linguistics","Linguistics","Historical Linguistics"],"domains":["Language disorder","Natural language processing","Curated information","Digital curation","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Language","Open Science","Researcher data"],"countries":["Norway"],"publications":[{"id":2918,"pubmed_id":null,"title":"Disciplinary Case Study: The Tromsø Repository of Language and Linguistics (TROLLing)","year":2019,"url":"https://doi.org/10.5281/zenodo.2668775","authors":"Philipp Conzett","journal":"Association of European Research Libraries","doi":null,"created_at":"2021-09-30T08:27:59.340Z","updated_at":"2021-09-30T08:27:59.340Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":762,"relation":"undefined"},{"licence_name":"DataverseNO Access and Use Policy","licence_id":227,"licence_url":"https://site.uit.no/dataverseno/about/policy-framework/access-and-use-policy/","link_id":3002,"relation":"applies_to_content"}],"grants":[{"id":3768,"fairsharing_record_id":2929,"organisation_id":2891,"relation":"funds","created_at":"2021-09-30T09:26:25.968Z","updated_at":"2021-09-30T09:26:25.968Z","grant_id":null,"is_lead":false,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3766,"fairsharing_record_id":2929,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:26:25.920Z","updated_at":"2021-09-30T09:29:01.525Z","grant_id":60,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"295700","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3767,"fairsharing_record_id":2929,"organisation_id":2891,"relation":"maintains","created_at":"2021-09-30T09:26:25.944Z","updated_at":"2021-09-30T09:26:25.944Z","grant_id":null,"is_lead":true,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3769,"fairsharing_record_id":2929,"organisation_id":566,"relation":"undefined","created_at":"2021-09-30T09:26:25.994Z","updated_at":"2021-09-30T09:26:25.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure (CLARIN) European Research Infrastructure Consortium (ERIC), Utrecht University, The Netherlands","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaDhDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4e36e9d8bd4216fda7838d453c4879c4c5a9a971/ny_trolling_banner_DvNO-format.png?disposition=inline","exhaustive_licences":false}},{"id":"2931","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T14:28:24.000Z","updated_at":"2023-06-23T11:28:38.898Z","metadata":{"doi":"10.25504/FAIRsharing.802961","name":"UMIN Clinical Trials Registry","status":"ready","homepage":"https://www.umin.ac.jp/ctr/index.htm","identifier":2931,"description":"UMIN-CTR is a Clinical Trials Registry hosted by the japanese University Hospital Medical Information Network (UMIN). UMIN-CTR has been recognized by the ICMJE as an \"acceptable registry\". At a minimum, a paper should be received for consideration by an ICMJE-affiliated journal, if the corresponding trial is registered by the appropriate deadline with UMIN-CTR. The WHO is developing the International Clinical Trials Registry Platform (ICTRP) project in order to collect various clinical trial registry systems throughout the world under fixed standards as \"member registries\" and \"associate registries. \"","abbreviation":"UMIN-CTR","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.umin.ac.jp/ctr/UMIN-CTR_e_FAQ.htm","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.umin.ac.jp/ctr/UMIN-CTR_ManagementEng.htm","name":"Registry Management","type":"Help documentation"}],"year_creation":1989,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012003","name":"re3data:r3d100012003","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.umin.ac.jp/ctr/manual/ctr_manual_EVer.html","type":"controlled","notes":"A UMIN ID and password are required to register clinical trials. Only medical professionals and students whose country does NOT belong to the European Union are allowed to apply for UMIN."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001434","bsg-d001434"],"name":"FAIRsharing record for: UMIN Clinical Trials Registry","abbreviation":"UMIN-CTR","url":"https://fairsharing.org/10.25504/FAIRsharing.802961","doi":"10.25504/FAIRsharing.802961","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UMIN-CTR is a Clinical Trials Registry hosted by the japanese University Hospital Medical Information Network (UMIN). UMIN-CTR has been recognized by the ICMJE as an \"acceptable registry\". At a minimum, a paper should be received for consideration by an ICMJE-affiliated journal, if the corresponding trial is registered by the appropriate deadline with UMIN-CTR. The WHO is developing the International Clinical Trials Registry Platform (ICTRP) project in order to collect various clinical trial registry systems throughout the world under fixed standards as \"member registries\" and \"associate registries. \"","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12347},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12894}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Epidemiology","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[{"id":3774,"fairsharing_record_id":2931,"organisation_id":3002,"relation":"maintains","created_at":"2021-09-30T09:26:26.129Z","updated_at":"2021-09-30T09:26:26.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":3002,"name":"University Hospital Medical Information Network","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3772,"fairsharing_record_id":2931,"organisation_id":3252,"relation":"undefined","created_at":"2021-09-30T09:26:26.077Z","updated_at":"2021-09-30T09:26:26.077Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":3773,"fairsharing_record_id":2931,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:26:26.103Z","updated_at":"2021-09-30T09:26:26.103Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2932","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T14:51:44.000Z","updated_at":"2023-11-29T11:32:04.888Z","metadata":{"doi":"10.25504/FAIRsharing.17b1e4","name":"Dutch Trial Register","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ltr@ccmo.nl","contact_orcid":null}],"homepage":"https://onderzoekmetmensen.nl/","citations":[],"identifier":2932,"description":"The Dutch Trial Register (LTR) is a register in which a part of the clinical studies in The Netherlands are registered. This currently includes all data from the former National Trial Register (NTR). Former NTR data have been added unaltered. Data owners may update their data via this site. In addition to studies from the former NTR, the Dutch Trial Register will eventually replace ToetsingOnline, when studies from CTIS and Eudamed will be added to the register. In the long run it will also be possible to register new studies in the Dutch Trial Register, however at the moment new studies should be registered in any WHO-approved registry such as ClinicalTrials.gov. This will include both WMO as well as non-WMO studies.","abbreviation":"LTR","data_curation":{"type":"not found"},"support_links":[],"year_creation":2022,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013311","name":"re3data:r3d100013311","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010234","name":"SciCrunch:RRID:SCR_010234","portal":"SciCrunch"}],"data_access_condition":{"type":"open","notes":"Note that as a registry of clinical trials, the metadata about those trials is openly available, however this does not necessarily cover the study data itself."},"resource_sustainability":{"name":"No sustainability information found."},"data_contact_information":"yes","data_preservation_policy":{"name":"No data preservation policy found."},"data_deposition_condition":{"url":"https://onderzoekmetmensen.nl/en/professionals","type":"controlled","notes":"For the registration of new studies you may choose one of the WHO-approved registries, for example ClinicalTrials.gov. In the long run it will also be possible to register new studies in the Dutch Trial Register, but this is not currently possible.. "},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001435","bsg-d001435"],"name":"FAIRsharing record for: Dutch Trial Register","abbreviation":"LTR","url":"https://fairsharing.org/10.25504/FAIRsharing.17b1e4","doi":"10.25504/FAIRsharing.17b1e4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dutch Trial Register (LTR) is a register in which a part of the clinical studies in The Netherlands are registered. This currently includes all data from the former National Trial Register (NTR). Former NTR data have been added unaltered. Data owners may update their data via this site. In addition to studies from the former NTR, the Dutch Trial Register will eventually replace ToetsingOnline, when studies from CTIS and Eudamed will be added to the register. In the long run it will also be possible to register new studies in the Dutch Trial Register, however at the moment new studies should be registered in any WHO-approved registry such as ClinicalTrials.gov. This will include both WMO as well as non-WMO studies.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12348},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12895}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Epidemiology","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3416,"relation":"applies_to_content"}],"grants":[{"id":11112,"fairsharing_record_id":2932,"organisation_id":4178,"relation":"maintains","created_at":"2023-11-28T13:01:32.700Z","updated_at":"2023-11-28T13:01:32.700Z","grant_id":null,"is_lead":true,"saved_state":{"id":4178,"name":" Central Committee on Research Involving Human Subjects (CCMO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"2924","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T08:01:27.000Z","updated_at":"2024-05-02T14:10:07.627Z","metadata":{"doi":"10.25504/FAIRsharing.a01ca1","name":"LitCovid","status":"ready","contacts":[{"contact_name":"Zhiyong Lu","contact_email":"Zhiyong.Lu@nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/research/coronavirus/","citations":[{"doi":"10.1093/nar/gkaa952","pubmed_id":33166392,"publication_id":4241}],"identifier":2924,"description":"LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 5645 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access.","abbreviation":"LitCovid","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/research/coronavirus/faq","type":"manual/automated","notes":"Advanced machine-learning methods (LitSuggest) have been developed to assist human curation and is assisted by MeSH ontology curation."},"year_creation":2020,"data_versioning":"not found","data_access_condition":{"type":"open","notes":"https://www.ncbi.nlm.nih.gov/research/coronavirus/#data-download"},"resource_sustainability":{"name":"not found"},"data_contact_information":"no","data_preservation_policy":{"name":"not found"},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/research/coronavirus/faq","type":"not applicable","notes":"Publications specific to COVID-19 and does NOT include pre-prints. LitCovid only includes relevant articles from PubMed."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001427","bsg-d001427"],"name":"FAIRsharing record for: LitCovid","abbreviation":"LitCovid","url":"https://fairsharing.org/10.25504/FAIRsharing.a01ca1","doi":"10.25504/FAIRsharing.a01ca1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 5645 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12341},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12888}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Life Science","Biomedical Science","Epidemiology"],"domains":["Text mining","Journal article","Curated information","Literature curation","Biocuration"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":958,"pubmed_id":32157233,"title":"Keep up with the latest coronavirus research.","year":2020,"url":"http://doi.org/10.1038/d41586-020-00694-1","authors":"Chen Q,Allot A,Lu Z","journal":"Nature","doi":"10.1038/d41586-020-00694-1","created_at":"2021-09-30T08:24:06.026Z","updated_at":"2021-09-30T08:24:06.026Z"},{"id":4241,"pubmed_id":33166392,"title":"LitCovid: an open database of COVID-19 literature","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa952","authors":"Chen, Qingyu; Allot, Alexis; Lu, Zhiyong; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa952","created_at":"2024-04-07T18:54:00.001Z","updated_at":"2024-04-07T18:54:00.001Z"},{"id":4242,"pubmed_id":36350613,"title":"LitCovid in 2022: an information resource for the COVID-19 literature","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1005","authors":"Chen, Qingyu; Allot, Alexis; Leaman, Robert; Wei, Chih-Hsuan; Aghaarabi, Elaheh; Guerrerio, John J; Xu, Lilly; Lu, Zhiyong; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1005","created_at":"2024-04-07T18:58:50.286Z","updated_at":"2024-04-07T18:58:50.286Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":645,"relation":"undefined"}],"grants":[{"id":3747,"fairsharing_record_id":2924,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:26:25.402Z","updated_at":"2021-09-30T09:26:25.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3746,"fairsharing_record_id":2924,"organisation_id":2105,"relation":"maintains","created_at":"2021-09-30T09:26:25.378Z","updated_at":"2021-09-30T09:26:25.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":2105,"name":"NCBI Computational Biology Branch, Bethesda, MD, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3748,"fairsharing_record_id":2924,"organisation_id":3160,"relation":"funds","created_at":"2021-09-30T09:26:25.428Z","updated_at":"2021-09-30T09:26:25.428Z","grant_id":null,"is_lead":false,"saved_state":{"id":3160,"name":"USA.gov","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3749,"fairsharing_record_id":2924,"organisation_id":2171,"relation":"maintains","created_at":"2021-09-30T09:26:25.452Z","updated_at":"2021-09-30T09:26:25.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":2171,"name":"NLM/NCBI BioNLP Research Group, Bethesda, MD, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2925","type":"fairsharing_records","attributes":{"created_at":"2020-03-30T21:47:38.000Z","updated_at":"2023-12-15T10:29:13.087Z","metadata":{"doi":"10.25504/FAIRsharing.2f7f9f","name":"Global Initiative on Sharing Avian Influenza Data","status":"ready","contacts":[],"homepage":"https://www.gisaid.org/","citations":[],"identifier":2925,"description":"The GISAID Initiative promotes the international sharing of all influenza virus sequences, related clinical and epidemiological data associated with human viruses, and geographical as well as species-specific data associated with avian and other animal viruses, to help researchers understand how the viruses evolve, spread and potentially become pandemics.","abbreviation":"GISAID","data_curation":{"url":"https://gisaid.org/resources/statements-clarifications/routine-updates-and-quality-control-of-gisaid-data/","type":"manual/automated"},"support_links":[{"url":"https://www.gisaid.org/help/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://www.gisaid.org/help/faq/","name":"FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2008,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010126","name":"re3data:r3d100010126","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018279","name":"SciCrunch:RRID:SCR_018279","portal":"SciCrunch"}],"data_access_condition":{"url":"https://gisaid.org/terms-of-use/","type":"partially open"},"resource_sustainability":{"url":"https://gisaid.org/about-us/public-private-partnerships/","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gisaid.org/resources/statements-clarifications/routine-updates-and-quality-control-of-gisaid-data/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001428","bsg-d001428"],"name":"FAIRsharing record for: Global Initiative on Sharing Avian Influenza Data","abbreviation":"GISAID","url":"https://fairsharing.org/10.25504/FAIRsharing.2f7f9f","doi":"10.25504/FAIRsharing.2f7f9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GISAID Initiative promotes the international sharing of all influenza virus sequences, related clinical and epidemiological data associated with human viruses, and geographical as well as species-specific data associated with avian and other animal viruses, to help researchers understand how the viruses evolve, spread and potentially become pandemics.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12342},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12889}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Epidemiology"],"domains":["DNA sequence data","Protein sequence identification","Patient care","Sequence"],"taxonomies":["Influenza virus","Viruses"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2615,"pubmed_id":null,"title":"Competition in biology: It's a scoop!","year":2003,"url":"https://doi.org/10.1038/news031124-9","authors":"Pearson H.","journal":"Nature","doi":null,"created_at":"2021-09-30T08:27:21.030Z","updated_at":"2021-09-30T08:27:21.030Z"}],"licence_links":[{"licence_name":"GISAID Terms of Use","licence_id":346,"licence_url":"https://www.gisaid.org/registration/terms-of-use/","link_id":1862,"relation":"undefined"}],"grants":[{"id":3750,"fairsharing_record_id":2925,"organisation_id":124,"relation":"funds","created_at":"2021-09-30T09:26:25.478Z","updated_at":"2021-09-30T09:26:25.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":124,"name":"Association of Public Health Laboratories (APHL)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3752,"fairsharing_record_id":2925,"organisation_id":2353,"relation":"funds","created_at":"2021-09-30T09:26:25.528Z","updated_at":"2021-09-30T09:30:22.681Z","grant_id":683,"is_lead":false,"saved_state":{"id":2353,"name":"PREDEMICS (European Commission 2014-2017)","grant":"278433","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3751,"fairsharing_record_id":2925,"organisation_id":2944,"relation":"funds","created_at":"2021-09-30T09:26:25.502Z","updated_at":"2021-09-30T09:26:25.502Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3753,"fairsharing_record_id":2925,"organisation_id":1780,"relation":"funds","created_at":"2021-09-30T09:26:25.552Z","updated_at":"2021-09-30T09:30:58.066Z","grant_id":957,"is_lead":false,"saved_state":{"id":1780,"name":"Max-Planck-Gesellschaft (MPG), Germany","grant":"8286670","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9420,"fairsharing_record_id":2925,"organisation_id":2635,"relation":"funds","created_at":"2022-04-11T12:07:37.099Z","updated_at":"2022-04-11T12:07:37.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation SERI","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2926","type":"fairsharing_records","attributes":{"created_at":"2020-04-22T13:15:56.000Z","updated_at":"2023-01-17T08:42:53.035Z","metadata":{"name":"COVID-19 Research Collaborations","status":"deprecated","contacts":[],"homepage":"https://covid19.elsevierpure.com/","citations":[],"identifier":2926,"description":"The COVID-19 Research Collaborations database stores information on researchers and institutions for the purposes of identifying potential research experts or collaborators in areas related to the coronavirus epidemic across basic science, translational research, or clinical practice.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.elsevier.com/__data/assets/pdf_file/0013/998869/COVID-ElsevierPure.pdf","name":"About (PDF)","type":"Help documentation"}],"year_creation":2020,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013300","name":"re3data:r3d100013300","portal":"re3data"}],"deprecation_date":"2023-01-16","deprecation_reason":"The website is no longer available","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001429","bsg-d001429"],"name":"FAIRsharing record for: COVID-19 Research Collaborations","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/2926","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COVID-19 Research Collaborations database stores information on researchers and institutions for the purposes of identifying potential research experts or collaborators in areas related to the coronavirus epidemic across basic science, translational research, or clinical practice.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12343},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12890}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Biomedical Science","Translational Medicine","Epidemiology"],"domains":["Text mining","Natural language processing","Journal article"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":3755,"fairsharing_record_id":2926,"organisation_id":850,"relation":"maintains","created_at":"2021-09-30T09:26:25.625Z","updated_at":"2021-09-30T09:26:25.625Z","grant_id":null,"is_lead":true,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2927","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T14:34:24.000Z","updated_at":"2023-12-15T10:31:30.966Z","metadata":{"doi":"10.25504/FAIRsharing.7f07dd","name":"Australian New Zealand Clinical Trials Registry","status":"ready","contacts":[],"homepage":"http://www.anzctr.org.au/","citations":[],"identifier":2927,"description":"The Australian New Zealand Clinical Trials Registry (ANZCTR) is an online register of clinical trials being undertaken in Australia, New Zealand and elsewhere. The ANZCTR includes trials from the full spectrum of therapeutic areas of pharmaceuticals, surgical procedures, preventive measures, lifestyle, devices, treatment and rehabilitation strategies and complementary therapies. The ANZCTR mandatory data items comply with the minimum dataset requirements of the International Committee of Medical Journal Editors (ICMJE) and the World Health Organization (WHO).","abbreviation":"ANZCTR","data_curation":{"url":"https://www.anzctr.org.au/support/HowToAdd.aspx","type":"manual","notes":"User submission will be checked by ANZCTR staff."},"support_links":[{"url":"http://www.anzctr.org.au/Faq.aspx","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.anzctr.org.au/HowToSearch.aspx","name":"How to search","type":"Help documentation"},{"url":"https://www.anzctr.org.au/News.aspx","type":"Blog/News"},{"url":"info@anzctr.org.au","name":"General contact","type":"Support email"},{"url":"https://www.anzctr.org.au/ContactUs.aspx","name":"Technical support","type":"Contact form"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011164","name":"re3data:r3d100011164","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.anzctr.org.au/support/HowToAdd.aspx","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001430","bsg-d001430"],"name":"FAIRsharing record for: Australian New Zealand Clinical Trials Registry","abbreviation":"ANZCTR","url":"https://fairsharing.org/10.25504/FAIRsharing.7f07dd","doi":"10.25504/FAIRsharing.7f07dd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Australian New Zealand Clinical Trials Registry (ANZCTR) is an online register of clinical trials being undertaken in Australia, New Zealand and elsewhere. The ANZCTR includes trials from the full spectrum of therapeutic areas of pharmaceuticals, surgical procedures, preventive measures, lifestyle, devices, treatment and rehabilitation strategies and complementary therapies. The ANZCTR mandatory data items comply with the minimum dataset requirements of the International Committee of Medical Journal Editors (ICMJE) and the World Health Organization (WHO).","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12344},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12891}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Public Health","Health Science","Virology","Biomedical Science","Epidemiology","Preclinical Studies","Medical Informatics"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","New Zealand"],"publications":[],"licence_links":[{"licence_name":"ANZCTR Terms and Conditions","licence_id":34,"licence_url":"http://www.anzctr.org.au/Support/Terms.aspx","link_id":1153,"relation":"undefined"}],"grants":[{"id":3758,"fairsharing_record_id":2927,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:26:25.719Z","updated_at":"2021-09-30T09:26:25.719Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3756,"fairsharing_record_id":2927,"organisation_id":140,"relation":"funds","created_at":"2021-09-30T09:26:25.664Z","updated_at":"2021-09-30T09:26:25.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":140,"name":"Australian Government - department of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3759,"fairsharing_record_id":2927,"organisation_id":1224,"relation":"funds","created_at":"2021-09-30T09:26:25.744Z","updated_at":"2021-09-30T09:26:25.744Z","grant_id":null,"is_lead":false,"saved_state":{"id":1224,"name":"Health Research Council of New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11058,"fairsharing_record_id":2927,"organisation_id":4164,"relation":"maintains","created_at":"2023-10-27T11:02:05.951Z","updated_at":"2023-10-27T11:02:05.951Z","grant_id":null,"is_lead":true,"saved_state":{"id":4164,"name":"NHMRC Clinical Trials Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3757,"fairsharing_record_id":2927,"organisation_id":2821,"relation":"funds","created_at":"2021-09-30T09:26:25.695Z","updated_at":"2021-09-30T09:26:25.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":2821,"name":"Therapeutic innovation Australia","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2928","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T15:31:55.000Z","updated_at":"2023-12-15T10:28:35.961Z","metadata":{"doi":"10.25504/FAIRsharing.01d14a","name":"International Traditional Medicine Clinical Trial Registry","status":"ready","contacts":[],"homepage":"http://www.isrctn.com/","citations":[],"identifier":2928,"description":"The ISRCTN registry is a primary clinical trial registry recognised by WHO and ICMJE that accepts all clinical research studies (whether proposed, ongoing or completed), providing content validation and curation and the unique identification number necessary for publication. All study records in the database are freely accessible and searchable.","abbreviation":"ISRCTN Registry","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.isrctn.com/page/faqs","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.isrctn.com/page/search-tips","name":"Search tips","type":"Help documentation"},{"url":"http://www.isrctn.com/page/about","name":"About page","type":"Help documentation"},{"url":"https://twitter.com/ISRCTN","name":"@ISRCTN","type":"Twitter"}],"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013307","name":"re3data:r3d100013307","portal":"re3data"}],"data_access_condition":{"url":"https://www.isrctn.com/page/faqs","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.isrctn.com/page/faqs","type":"controlled","notes":"fee to submit data"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001431","bsg-d001431"],"name":"FAIRsharing record for: International Traditional Medicine Clinical Trial Registry","abbreviation":"ISRCTN Registry","url":"https://fairsharing.org/10.25504/FAIRsharing.01d14a","doi":"10.25504/FAIRsharing.01d14a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ISRCTN registry is a primary clinical trial registry recognised by WHO and ICMJE that accepts all clinical research studies (whether proposed, ongoing or completed), providing content validation and curation and the unique identification number necessary for publication. All study records in the database are freely accessible and searchable.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17397},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12345},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12892}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Biomedical Science","Epidemiology","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":3761,"fairsharing_record_id":2928,"organisation_id":1562,"relation":"maintains","created_at":"2021-09-30T09:26:25.794Z","updated_at":"2022-07-19T20:05:37.792Z","grant_id":null,"is_lead":true,"saved_state":{"id":1562,"name":"ISRCTN","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3764,"fairsharing_record_id":2928,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:26:25.870Z","updated_at":"2021-09-30T09:26:25.870Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3765,"fairsharing_record_id":2928,"organisation_id":717,"relation":"funds","created_at":"2021-09-30T09:26:25.894Z","updated_at":"2021-09-30T09:26:25.894Z","grant_id":null,"is_lead":false,"saved_state":{"id":717,"name":"Department of Health, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3763,"fairsharing_record_id":2928,"organisation_id":2616,"relation":"maintains","created_at":"2021-09-30T09:26:25.844Z","updated_at":"2021-09-30T09:26:25.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2616,"name":"Springer Nature","types":["Publisher"],"is_lead":false,"relation":"maintains"}},{"id":3760,"fairsharing_record_id":2928,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:26:25.770Z","updated_at":"2021-09-30T09:26:25.770Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3762,"fairsharing_record_id":2928,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:25.820Z","updated_at":"2021-09-30T09:26:25.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa3dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--2170c0e351110bd0ccb08940d3392d61e7a11c8c/reg.png?disposition=inline","exhaustive_licences":false}},{"id":"2933","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T15:14:50.000Z","updated_at":"2023-12-15T10:32:35.042Z","metadata":{"doi":"10.25504/FAIRsharing.329809","name":"Database of publications on coronavirus disease (COVID-19)","status":"ready","contacts":[],"homepage":"https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov","citations":[],"identifier":2933,"description":"The WHO is gathering the latest scientific findings and knowledge on coronavirus disease (COVID-19) and compiling it in a database. The database is updated daily from searches of bibliographic databases, manual searches of the table of contents of relevant journals, and the addition of other relevant scientific articles that come to our attention. Note - the entries in the database may not be exhaustive and new research will be added regularly.","abbreviation":null,"data_curation":{"url":"https://www.who.int/publications/m/item/quick-search-guide-who-covid-19-database","type":"manual"},"support_links":[{"url":"https://www.who.int/publications/m/item/quick-search-guide-who-covid-19-database","name":"Quick Search Guide for WHO COVID-19 Database","type":"Help documentation"}],"year_creation":2020,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001436","bsg-d001436"],"name":"FAIRsharing record for: Database of publications on coronavirus disease (COVID-19)","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.329809","doi":"10.25504/FAIRsharing.329809","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WHO is gathering the latest scientific findings and knowledge on coronavirus disease (COVID-19) and compiling it in a database. The database is updated daily from searches of bibliographic databases, manual searches of the table of contents of relevant journals, and the addition of other relevant scientific articles that come to our attention. Note - the entries in the database may not be exhaustive and new research will be added regularly.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12349},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12896}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Life Science","Biomedical Science","Epidemiology"],"domains":["Literature curation"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"WHO Privacy Legal Notice","licence_id":909,"licence_url":"https://www.who.int/about/policies/privacy","link_id":2585,"relation":"applies_to_content"}],"grants":[{"id":3776,"fairsharing_record_id":2933,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:26:26.187Z","updated_at":"2021-09-30T09:26:26.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2969","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T07:39:40.000Z","updated_at":"2023-12-15T10:31:51.034Z","metadata":{"doi":"10.25504/FAIRsharing.Z8OKi5","name":"ABCD database","status":"ready","contacts":[{"contact_name":"Wanessa du Fresne von Hohenesche","contact_email":"antibodies-order@unige.ch"}],"homepage":"https://web.expasy.org/abcd/","citations":[{"doi":"10.1093/nar/gkz714","pubmed_id":31410491,"publication_id":2923}],"identifier":2969,"description":"The ABCD (AntiBodies Chemically Defined) database is a manually curated depository of sequenced antibodies.","abbreviation":"ABCD","data_curation":{"type":"manual"},"year_creation":2018,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://web.expasy.org/abcd/submit.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001475","bsg-d001475"],"name":"FAIRsharing record for: ABCD database","abbreviation":"ABCD","url":"https://fairsharing.org/10.25504/FAIRsharing.Z8OKi5","doi":"10.25504/FAIRsharing.Z8OKi5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ABCD (AntiBodies Chemically Defined) database is a manually curated depository of sequenced antibodies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Molecular biology","Immunology"],"domains":["Antibody","Recombinant DNA","Amino acid sequence"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2923,"pubmed_id":31410491,"title":"The ABCD database: a repository for chemically defined antibodies.","year":2019,"url":"http://doi.org/10.1093/nar/gkz714","authors":"Lima WC,Gasteiger E,Marcatili P,Duek P,Bairoch A,Cosson P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz714","created_at":"2021-09-30T08:27:59.946Z","updated_at":"2021-09-30T11:29:48.962Z"}],"licence_links":[],"grants":[{"id":3898,"fairsharing_record_id":2969,"organisation_id":2984,"relation":"maintains","created_at":"2021-09-30T09:26:29.874Z","updated_at":"2021-09-30T09:26:29.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":2984,"name":"Universite de Geneve, Geneva, Switzerland","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2970","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T08:39:22.000Z","updated_at":"2023-12-15T10:32:29.907Z","metadata":{"doi":"10.25504/FAIRsharing.f14e0b","name":"National Pollutant Release Inventory","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"ec.inrp-npri.ec@canada.ca"}],"homepage":"https://www.canada.ca/en/services/environment/pollution-waste-management/national-pollutant-release-inventory.html","identifier":2970,"description":"The National Pollutant Release Inventory (NPRI) is Canada’s public inventory of releases, disposals and transfers. It tracks over 320 pollutants from over 7,000 facilities across Canada. Reporting facilities include factories that manufacture a variety of goods, mines, oil and gas operations, power plants and sewage treatment plants. The information that facility owners and operators must report to the inventory: helps Canadians understand pollutants releases in their communities, encourages actions to reduce pollution, helps track progress.","abbreviation":"NPRI","data_curation":{"url":"https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/data-quality.html","type":"manual"},"support_links":[{"url":"https://tinyurl.com/ybcpg68z","name":"Instructional videos: National Pollutant Release Inventory","type":"Help documentation"},{"url":"https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/using-interpreting-data.html","name":"Using and interpreting data from the National Pollutant Release Inventory","type":"Help documentation"}],"year_creation":1992,"data_versioning":"not found","associated_tools":[{"url":"https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/report/sector-specific-tools-calculate-emissions.html","name":"Tools to calculate emissions"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010623","name":"re3data:r3d100010623","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001476","bsg-d001476"],"name":"FAIRsharing record for: National Pollutant Release Inventory","abbreviation":"NPRI","url":"https://fairsharing.org/10.25504/FAIRsharing.f14e0b","doi":"10.25504/FAIRsharing.f14e0b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Pollutant Release Inventory (NPRI) is Canada’s public inventory of releases, disposals and transfers. It tracks over 320 pollutants from over 7,000 facilities across Canada. Reporting facilities include factories that manufacture a variety of goods, mines, oil and gas operations, power plants and sewage treatment plants. The information that facility owners and operators must report to the inventory: helps Canadians understand pollutants releases in their communities, encourages actions to reduce pollution, helps track progress.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Atmospheric Science","Water Research"],"domains":["Environmental contaminant","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Climate change","Pollution","Recycling"],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Government of Canada Terms and conditions","licence_id":361,"licence_url":"https://www.canada.ca/en/transparency/terms.html","link_id":1352,"relation":"undefined"}],"grants":[{"id":3899,"fairsharing_record_id":2970,"organisation_id":868,"relation":"maintains","created_at":"2021-09-30T09:26:29.897Z","updated_at":"2021-09-30T09:26:29.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":868,"name":"Environment and Climate Change Canada, Gatineau, QC, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2971","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T09:35:28.000Z","updated_at":"2023-06-23T14:57:23.241Z","metadata":{"doi":"10.25504/FAIRsharing.cc3QN9","name":"World Data Centre for Space Weather","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"SWS_WDC@bom.gov.au"}],"homepage":"http://www.sws.bom.gov.au/World_Data_Centre","identifier":2971,"description":"The World Data Centre section provides software and data catalogue information and data produced by the Bureau of Meteorology - Space Weather Services (SWS) over the past decades. Thousands of gigabytes of Ionospheric, Magnetometer, Spectrograph, Cosmic Ray data and Solar images are available for download. These areas are continually growing, with the addition of new data types, downloadable tools and data from new locations.","abbreviation":"SWS - WDC","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.sws.bom.gov.au/World_Data_Centre/5/1","name":"Latest News","type":"Blog/News"},{"url":"http://www.sws.bom.gov.au/World_Data_Centre/5/2","type":"Help documentation"},{"url":"http://www.sws.bom.gov.au/World_Data_Centre/1/1/1","name":"SWS Data Policy","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010635","name":"re3data:r3d100010635","portal":"re3data"}],"data_access_condition":{"type":"open","notes":"Some special data requests must be done using an online form."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001477","bsg-d001477"],"name":"FAIRsharing record for: World Data Centre for Space Weather","abbreviation":"SWS - WDC","url":"https://fairsharing.org/10.25504/FAIRsharing.cc3QN9","doi":"10.25504/FAIRsharing.cc3QN9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Data Centre section provides software and data catalogue information and data produced by the Bureau of Meteorology - Space Weather Services (SWS) over the past decades. Thousands of gigabytes of Ionospheric, Magnetometer, Spectrograph, Cosmic Ray data and Solar images are available for download. These areas are continually growing, with the addition of new data types, downloadable tools and data from new locations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Electromagnetism","Meteorology","Cosmology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Cosmology","Electromagnetism","ionosphere","Magnetometer","Optical spectrometer","Riometer","Solar activity"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"WDS Conditions for Use of Data","licence_id":854,"licence_url":"http://www.sws.bom.gov.au/World_Data_Centre","link_id":2268,"relation":"undefined"}],"grants":[{"id":3900,"fairsharing_record_id":2971,"organisation_id":2607,"relation":"maintains","created_at":"2021-09-30T09:26:29.928Z","updated_at":"2021-09-30T09:26:29.928Z","grant_id":null,"is_lead":false,"saved_state":{"id":2607,"name":"Space Weather Services, Haymarket, NSW, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2972","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T12:55:59.000Z","updated_at":"2023-12-15T10:32:27.141Z","metadata":{"doi":"10.25504/FAIRsharing.096d5e","name":"Global Atmosphere Watch Station Information System","status":"ready","homepage":"https://gawsis.meteoswiss.ch/GAWSIS/index.html#/","identifier":2972,"description":"The Global Atmosphere Watch (GAW) is a worldwide system established by the World Meteorological Organization, a United Nations agency, to monitor trends in the Earth's atmosphere. GAWSIS is the official catalogue of GAW stations and Contributing networks. It provides the GAW community and other interested people with an up-to-date, searchable data base of : station characteristics, measurements programs and data available, instrument, contact people, bibliographic references. GAWSIS also serves as a repository for supporting documents.","abbreviation":"GAWSIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://tinyurl.com/yaaarb9j","name":"News","type":"Blog/News"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS/#/support","name":"Support","type":"Contact form"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS//index.html#/feedback","name":"Feedback","type":"Contact form"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS/#/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS//index.html#/glossary/","name":"Glossary","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010141","name":"re3data:r3d100010141","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001478","bsg-d001478"],"name":"FAIRsharing record for: Global Atmosphere Watch Station Information System","abbreviation":"GAWSIS","url":"https://fairsharing.org/10.25504/FAIRsharing.096d5e","doi":"10.25504/FAIRsharing.096d5e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Global Atmosphere Watch (GAW) is a worldwide system established by the World Meteorological Organization, a United Nations agency, to monitor trends in the Earth's atmosphere. GAWSIS is the official catalogue of GAW stations and Contributing networks. It provides the GAW community and other interested people with an up-to-date, searchable data base of : station characteristics, measurements programs and data available, instrument, contact people, bibliographic references. GAWSIS also serves as a repository for supporting documents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Meteorology","Earth Science","Atmospheric Science"],"domains":["Radiation"],"taxonomies":["Not applicable"],"user_defined_tags":["Aerosol","Greenhouse gases","Ozone","Ultraviolet Rays"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":3901,"fairsharing_record_id":2972,"organisation_id":3254,"relation":"maintains","created_at":"2021-09-30T09:26:29.970Z","updated_at":"2021-09-30T09:26:29.970Z","grant_id":null,"is_lead":false,"saved_state":{"id":3254,"name":"World Meteorological Organization (WMO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3902,"fairsharing_record_id":2972,"organisation_id":1006,"relation":"maintains","created_at":"2021-09-30T09:26:30.008Z","updated_at":"2021-09-30T09:26:30.008Z","grant_id":null,"is_lead":false,"saved_state":{"id":1006,"name":"Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2973","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T14:14:35.000Z","updated_at":"2024-05-02T10:00:47.979Z","metadata":{"name":"Chromium Epigenomics Toxicology","status":"in_development","contacts":[{"contact_name":"Wen Niu","contact_email":"wen.niu@uc.edu","contact_orcid":"0000-0003-4927-5200"}],"homepage":"http://eh4.uc.edu/chromium/","citations":[{"doi":"10.1080/15592294.2018.1454243","pubmed_id":29561703,"publication_id":2919}],"identifier":2973,"description":"The Chromium Epigenomics Toxicology (EpiCrDB) database contains a variety of epigenomics experimental assays relating to research on how Cr(VI) perturbs chromatin organization and dynamics. This data is used in reseach into how its toxicity may be attributed to epigenetic carcinogenicity. Manually-annotated sample and experiment metadata is included to facilitate FAIR data access. Hexavalent chromium [Cr(VI)] compounds are well-established respiratory carcinogens utilized in industrial processes. While inhalation exposure constitutes an occupational risk affecting mostly chromium workers, environmental exposure from drinking water contamination is a widespread gastrointestinal carcinogen, affecting millions of people throughout the world. The mechanism of action of Cr(VI) at the molecular level is poorly understood.","abbreviation":"EpiCrDB","data_curation":{"type":"none"},"support_links":[],"year_creation":2020,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001479","bsg-d001479"],"name":"FAIRsharing record for: Chromium Epigenomics Toxicology","abbreviation":"EpiCrDB","url":"https://fairsharing.org/fairsharing_records/2973","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chromium Epigenomics Toxicology (EpiCrDB) database contains a variety of epigenomics experimental assays relating to research on how Cr(VI) perturbs chromatin organization and dynamics. This data is used in reseach into how its toxicity may be attributed to epigenetic carcinogenicity. Manually-annotated sample and experiment metadata is included to facilitate FAIR data access. Hexavalent chromium [Cr(VI)] compounds are well-established respiratory carcinogens utilized in industrial processes. While inhalation exposure constitutes an occupational risk affecting mostly chromium workers, environmental exposure from drinking water contamination is a widespread gastrointestinal carcinogen, affecting millions of people throughout the world. The mechanism of action of Cr(VI) at the molecular level is poorly understood.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16646}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenomics","Epigenetics","Toxicology","Life Science"],"domains":["Assay","Chromatin immunoprecipitation - DNA sequencing","Chromatin structure variation"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2919,"pubmed_id":29561703,"title":"Chromium disrupts chromatin organization and CTCF access to its cognate sites in promoters of differentially expressed genes.","year":2018,"url":"http://doi.org/10.1080/15592294.2018.1454243","authors":"VonHandorf A,Sanchez-Martin FJ,Biesiada J,Zhang H,Zhang X,Medvedovic M,Puga A","journal":"Epigenetics","doi":"10.1080/15592294.2018.1454243","created_at":"2021-09-30T08:27:59.509Z","updated_at":"2021-09-30T08:27:59.509Z"},{"id":2922,"pubmed_id":24837440,"title":"Formaldehyde-Assisted Isolation of Regulatory Elements (FAIRE) analysis uncovers broad changes in chromatin structure resulting from hexavalent chromium exposure.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0097849","authors":"Ovesen JL,Fan Y,Zhang X,Chen J,Medvedovic M,Xia Y,Puga A","journal":"PLoS One","doi":"10.1371/journal.pone.0097849","created_at":"2021-09-30T08:27:59.833Z","updated_at":"2021-09-30T08:27:59.833Z"},{"id":2928,"pubmed_id":30935235,"title":"Highlight Article: Chromium exposure disrupts chromatin architecture upsetting the mechanisms that regulate transcription.","year":2019,"url":"http://doi.org/10.1177/1535370219839953","authors":"Zablon HA,VonHandorf A,Puga A","journal":"Exp Biol Med (Maywood)","doi":"10.1177/1535370219839953","created_at":"2021-09-30T08:28:00.633Z","updated_at":"2021-09-30T08:28:00.633Z"}],"licence_links":[],"grants":[{"id":3903,"fairsharing_record_id":2973,"organisation_id":706,"relation":"maintains","created_at":"2021-09-30T09:26:30.045Z","updated_at":"2024-05-01T15:28:57.342Z","grant_id":null,"is_lead":true,"saved_state":{"id":706,"name":"Department of Environmental and Public Health Sciences, University of Cincinnati","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2974","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T14:28:11.000Z","updated_at":"2023-12-15T10:32:38.029Z","metadata":{"doi":"10.25504/FAIRsharing.eef384","name":"Alternative Fuels Data Center","status":"ready","contacts":[{"contact_name":"Technical Response Service","contact_email":"technicalresponse@icf.com"}],"homepage":"https://afdc.energy.gov/","citations":[],"identifier":2974,"description":"The Alternative Fuels Data Center (AFDC) provides a wealth of information and data on alternative and renewable fuels, advanced vehicles, fuel-saving strategies, and emerging transportation technologies. This site features interactive tools, calculators, and mapping applications to aid in the implementation of these fuels, vehicles, and strategies. The AFDC functions as a dynamic online hub, providing information, tools, and resources for transportation decision makers seeking domestic alternatives that diversify energy sources and help businesses make wise economic choices.","abbreviation":"AFDC","data_curation":{"type":"not found"},"support_links":[{"url":"https://afdc.energy.gov/website-contact.html","type":"Contact form"}],"year_creation":1991,"data_versioning":"yes","associated_tools":[{"url":"https://afdc.energy.gov/tools","name":"Alternative Fuels Data Center Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010226","name":"re3data:r3d100010226","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001480","bsg-d001480"],"name":"FAIRsharing record for: Alternative Fuels Data Center","abbreviation":"AFDC","url":"https://fairsharing.org/10.25504/FAIRsharing.eef384","doi":"10.25504/FAIRsharing.eef384","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Alternative Fuels Data Center (AFDC) provides a wealth of information and data on alternative and renewable fuels, advanced vehicles, fuel-saving strategies, and emerging transportation technologies. This site features interactive tools, calculators, and mapping applications to aid in the implementation of these fuels, vehicles, and strategies. The AFDC functions as a dynamic online hub, providing information, tools, and resources for transportation decision makers seeking domestic alternatives that diversify energy sources and help businesses make wise economic choices.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Energy Engineering","Ecology","Earth Science"],"domains":["Bioenergy","Sustainability"],"taxonomies":["Not applicable"],"user_defined_tags":["Fossil Fuel","Fuel Oil"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Department of Energy Web Policies","licence_id":233,"licence_url":"https://www.energy.gov/about-us/web-policies","link_id":1078,"relation":"undefined"}],"grants":[{"id":9408,"fairsharing_record_id":2974,"organisation_id":3167,"relation":"maintains","created_at":"2022-04-11T12:07:36.343Z","updated_at":"2022-04-11T12:07:36.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2976","type":"fairsharing_records","attributes":{"created_at":"2020-05-06T10:20:42.000Z","updated_at":"2023-12-15T10:31:33.033Z","metadata":{"doi":"10.25504/FAIRsharing.4e7190","name":"EUROLAS Data Center","status":"ready","contacts":[{"contact_name":"Christian Schwatke","contact_email":"christian.schwatke@tum.de","contact_orcid":"0000-0002-4741-3449"}],"homepage":"https://edc.dgfi.tum.de/en/","citations":[],"identifier":2976,"description":"The EUROLAS Data Center (EDC) is one of the two data centers of the International Laser Ranging Service (ILRS). It collects, archives and distributes tracking data, predictions and other tracking relevant information from the Consortium of European Satellite Laser Ranging (SLR) network. Additionally EDC holds a mirror of the official Web-Pages of the ILRS at Goddard Space Flight Center (GSFC).","abbreviation":"EDC","data_curation":{"type":"not found"},"support_links":[{"url":"carey.noll@nasa.gov","name":"Carey Noll","type":"Support email"},{"url":"https://edc.dgfi.tum.de/en/mailing_lists/","type":"Mailing list"}],"year_creation":1991,"data_versioning":"yes","associated_tools":[{"url":"https://edc.dgfi.tum.de/en/tools/crd_check/","name":"CRD-Check"},{"url":"https://edc.dgfi.tum.de/en/tools/cpf_check/","name":"CPF-Check"},{"url":"https://edc.dgfi.tum.de/en/tools/cpf_mailer/","name":"CPF-Mailer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010728","name":"re3data:r3d100010728","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001482","bsg-d001482"],"name":"FAIRsharing record for: EUROLAS Data Center","abbreviation":"EDC","url":"https://fairsharing.org/10.25504/FAIRsharing.4e7190","doi":"10.25504/FAIRsharing.4e7190","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EUROLAS Data Center (EDC) is one of the two data centers of the International Laser Ranging Service (ILRS). It collects, archives and distributes tracking data, predictions and other tracking relevant information from the Consortium of European Satellite Laser Ranging (SLR) network. Additionally EDC holds a mirror of the official Web-Pages of the ILRS at Goddard Space Flight Center (GSFC).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Astrophysics and Astronomy","Geodesy","Earth Science","Selenography"],"domains":["Observation design","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":["Satellite Laser Ranging","Selenography"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"EUROLAS Data Center (EDC) Privacy Policy","licence_id":299,"licence_url":"https://edc.dgfi.tum.de/en/privacy_policy/","link_id":1288,"relation":"undefined"}],"grants":[{"id":3907,"fairsharing_record_id":2976,"organisation_id":621,"relation":"undefined","created_at":"2021-09-30T09:26:30.181Z","updated_at":"2021-09-30T09:26:30.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":621,"name":"Crustal Dynamics Data Information System (CDDIS), USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":3906,"fairsharing_record_id":2976,"organisation_id":1137,"relation":"maintains","created_at":"2021-09-30T09:26:30.157Z","updated_at":"2021-09-30T09:26:30.157Z","grant_id":null,"is_lead":false,"saved_state":{"id":1137,"name":"German Geodetic Research Institute (DGFI-TUM), Munich, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2977","type":"fairsharing_records","attributes":{"created_at":"2020-05-28T14:51:48.000Z","updated_at":"2023-12-15T10:31:07.849Z","metadata":{"doi":"10.25504/FAIRsharing.LdoU1I","name":"International Mouse Phenotyping Consortium","status":"ready","contacts":[{"contact_name":"IMPC helpdesk","contact_email":"mouse-helpdesk@ebi.ac.uk"}],"homepage":"https://www.mousephenotype.org/","citations":[{"doi":"10.1038/nature19356","pubmed_id":27626380,"publication_id":2985}],"identifier":2977,"description":"The International Mouse Phenotyping Consortium (IMPC) produces a publicly-available repository that stores information on IMPC processes, data and annotations. The IMPC is an international effort by 19 research institutions to identify the function of every protein-coding gene in the mouse genome by switching off or ‘knocking out’ each of the roughly 20,000 genes that make up the mouse genome.","abbreviation":"IMPC","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.mousephenotype.org/news/","name":"News","type":"Blog/News"},{"url":"https://www.mousephenotype.org/blog/","name":"Blog","type":"Blog/News"},{"url":"https://www.mousephenotype.org/contact-us/","name":"Contact IMPC","type":"Contact form"},{"url":"https://www.mousephenotype.org/help/faqs/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.mousephenotype.org/help/","name":"General Help","type":"Help documentation"},{"url":"https://www.mousephenotype.org/understand/the-data/how-we-generate-the-data/","name":"How Data is Generated","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/impc-using-the-mouse-phenotyping-portal","name":"IMPC: Using the mouse phenotyping portal","type":"TeSS links to training materials"},{"url":"https://twitter.com/impc","name":"@impc","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.mousephenotype.org/data/parallel","name":"KO effect comparator"},{"url":"https://www.mousephenotype.org/phenodcc/","name":"PhenoDCC"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010636","name":"re3data:r3d100010636","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006158","name":"SciCrunch:RRID:SCR_006158","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.mousephenotype.org/help/faqs/is-impc-data-freely-available/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001483","bsg-d001483"],"name":"FAIRsharing record for: International Mouse Phenotyping Consortium","abbreviation":"IMPC","url":"https://fairsharing.org/10.25504/FAIRsharing.LdoU1I","doi":"10.25504/FAIRsharing.LdoU1I","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Mouse Phenotyping Consortium (IMPC) produces a publicly-available repository that stores information on IMPC processes, data and annotations. The IMPC is an international effort by 19 research institutions to identify the function of every protein-coding gene in the mouse genome by switching off or ‘knocking out’ each of the roughly 20,000 genes that make up the mouse genome.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20000}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Functional Genomics","Phenomics"],"domains":["Phenotype","Protein","Genome"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Australia","Canada","China","Czech Republic","France","Germany","India","Italy","Japan","South Africa","South Korea","Spain","Taiwan","United Kingdom","United States"],"publications":[{"id":2985,"pubmed_id":27626380,"title":"High-throughput Discovery of Novel Developmental Phenotypes","year":2016,"url":"http://doi.org/10.1038/nature19356","authors":"Dickinson ME, Flenniken AM, Ji X, et al.","journal":"Nature","doi":"10.1038/nature19356","created_at":"2021-09-30T08:28:07.791Z","updated_at":"2021-09-30T08:28:07.791Z"}],"licence_links":[{"licence_name":"IMPC Terms of Use","licence_id":433,"licence_url":"https://www.mousephenotype.org/about-impc/terms-of-use/","link_id":1684,"relation":"undefined"}],"grants":[{"id":3910,"fairsharing_record_id":2977,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:30.256Z","updated_at":"2021-09-30T09:26:30.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3908,"fairsharing_record_id":2977,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:30.206Z","updated_at":"2021-09-30T09:26:30.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3909,"fairsharing_record_id":2977,"organisation_id":1347,"relation":"maintains","created_at":"2021-09-30T09:26:30.231Z","updated_at":"2021-09-30T09:26:30.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":1347,"name":"Infrafrontier Research Infrastructure, Infrafrontier Gmbh, Munich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2978","type":"fairsharing_records","attributes":{"created_at":"2020-05-06T18:22:27.000Z","updated_at":"2023-07-17T11:11:04.820Z","metadata":{"doi":"10.25504/FAIRsharing.7fKiFY","name":"The Digital Archaeological Record","status":"ready","contacts":[{"contact_email":"comments@tdar.org"}],"homepage":"https://www.tdar.org/","citations":[{"doi":"10.1017/aap.2017.18","pubmed_id":null,"publication_id":3954}],"identifier":2978,"description":"The Digital Archaeological Record (tDAR) is an international digital repository for the digital records of archaeological investigations. tDAR’s use, development, and maintenance are governed by the Center for Digital Antiquity, an organization dedicated to ensuring the long-term preservation of irreplaceable archaeological data and to broadening the access to these data.","abbreviation":"tDAR","data_curation":{"url":"https://core.tdar.org/cart/add#","type":"manual"},"support_links":[{"url":"https://www.tdar.org/news/","name":"News","type":"Blog/News"},{"url":"https://www.tdar.org/about/contact-us/","name":"Contact Information","type":"Contact form"},{"url":"https://www.tdar.org/using-tdar/","name":"Using tDAR","type":"Help documentation"},{"url":"https://www.digitalantiquity.org/publications/","name":"Publications","type":"Help documentation"},{"url":"https://www.tdar.org/about/","name":"About","type":"Help documentation"},{"url":"https://www.tdar.org/why-tdar/access/","name":"Access and Use","type":"Help documentation"},{"url":"https://twitter.com/DigArcRec","name":"@DigArcRec","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010347","name":"re3data:r3d100010347","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.tdar.org/why-tdar/compliance/","name":"All files in tDAR are constantly checked to ensure that they are valid. Files are migrated to preservation formats automatically to ensure long-term access."},"data_deposition_condition":{"url":"https://core.tdar.org/cart/add#","type":"controlled","notes":"Data are reviewed and added by the curation team only (upon service-fees)."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001484","bsg-d001484"],"name":"FAIRsharing record for: The Digital Archaeological Record","abbreviation":"tDAR","url":"https://fairsharing.org/10.25504/FAIRsharing.7fKiFY","doi":"10.25504/FAIRsharing.7fKiFY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Digital Archaeological Record (tDAR) is an international digital repository for the digital records of archaeological investigations. tDAR’s use, development, and maintenance are governed by the Center for Digital Antiquity, an organization dedicated to ensuring the long-term preservation of irreplaceable archaeological data and to broadening the access to these data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Archaeology","Data Integration","Data Management","Anthropology"],"domains":["Digital curation","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3954,"pubmed_id":null,"title":"tDAR","year":2017,"url":"http://dx.doi.org/10.1017/aap.2017.18","authors":"McManamon, Francis P.; Kintigh, Keith W.; Ellison, Leigh Anne; Brin, Adam; ","journal":"Adv. archaeol. pract.","doi":"10.1017/aap.2017.18","created_at":"2023-07-17T10:54:08.962Z","updated_at":"2023-07-17T10:54:08.962Z"}],"licence_links":[{"licence_name":"tDAR Policies and Procedures","licence_id":775,"licence_url":"https://www.tdar.org/about/policies/","link_id":894,"relation":"undefined"}],"grants":[{"id":3911,"fairsharing_record_id":2978,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:30.281Z","updated_at":"2021-09-30T09:26:30.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3914,"fairsharing_record_id":2978,"organisation_id":1984,"relation":"funds","created_at":"2021-09-30T09:26:30.356Z","updated_at":"2021-09-30T09:26:30.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":1984,"name":"National Endowment for the Humanities","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3915,"fairsharing_record_id":2978,"organisation_id":417,"relation":"maintains","created_at":"2021-09-30T09:26:30.391Z","updated_at":"2021-09-30T09:26:30.391Z","grant_id":null,"is_lead":true,"saved_state":{"id":417,"name":"Center for Digital Antiquity","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3913,"fairsharing_record_id":2978,"organisation_id":95,"relation":"funds","created_at":"2021-09-30T09:26:30.330Z","updated_at":"2021-09-30T09:26:30.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":95,"name":"Andrew W. Mellon Foundation, New York, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3912,"fairsharing_record_id":2978,"organisation_id":114,"relation":"associated_with","created_at":"2021-09-30T09:26:30.306Z","updated_at":"2023-07-17T10:55:31.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBczhDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6d0722a42b8cd276183e0db26cd7a52d39c2e6ca/bg-logo-transparent.png?disposition=inline","exhaustive_licences":false}},{"id":"2979","type":"fairsharing_records","attributes":{"created_at":"2020-05-06T21:04:06.000Z","updated_at":"2024-06-18T13:07:20.348Z","metadata":{"doi":"10.25504/FAIRsharing.9e23f2","name":"NanoCommons Knowledge Base","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@nanocommons.eu"}],"homepage":"https://www.nanocommons.eu/nanocommons-knowledge-base/","citations":[{"doi":"10.3389/fphy.2023.1271842","pubmed_id":null,"publication_id":4273}],"identifier":2979,"description":"The NanoCommons Knowledge Base is a data source provided by the NanoCommons project. It is based on the BioXM TM Knowledge Management Environment, developed over the last 15 years by Biomax Informatics AG and applied in multiple collaborative research projects and commercial environments. This database requires registration. NanoCommons provides a community framework and infrastructure for reproducible science and in-silico workflows for nanomaterials safety assessment","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.nanocommons.eu/e-infrastructure/frequently-asked-questions/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2019,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013329","name":"re3data:r3d100013329","portal":"re3data"}],"data_access_condition":{"url":"https://www.nanocommons.eu/ta-access/","type":"controlled"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.nanocommons.eu/e-infrastructure/frequently-asked-questions/","type":"open","notes":"Submission via email enquiries only."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001485","bsg-d001485"],"name":"FAIRsharing record for: NanoCommons Knowledge Base","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9e23f2","doi":"10.25504/FAIRsharing.9e23f2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NanoCommons Knowledge Base is a data source provided by the NanoCommons project. It is based on the BioXM TM Knowledge Management Environment, developed over the last 15 years by Biomax Informatics AG and applied in multiple collaborative research projects and commercial environments. This database requires registration. NanoCommons provides a community framework and infrastructure for reproducible science and in-silico workflows for nanomaterials safety assessment","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11560},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16769}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Toxicogenomics","Composite Materials","Nanotechnology","Materials Informatics","Materials Engineering","Occupational Medicine","Toxicology","Chemistry","Safety Science","Analytical Chemistry","Biology"],"domains":["Nanoparticle","Toxicity"],"taxonomies":["Not applicable"],"user_defined_tags":["Nanosafety","Systems toxicology"],"countries":["Germany"],"publications":[{"id":4273,"pubmed_id":null,"title":"Harmonising knowledge for safer materials via the “NanoCommons” Knowledge Base","year":2023,"url":"http://dx.doi.org/10.3389/fphy.2023.1271842","authors":"Maier, Dieter; Exner, Thomas E.; Papadiamantis, Anastasios G.; Ammar, Ammar; Tsoumanis, Andreas; Doganis, Philip; Rouse, Ian; Slater, Luke T.; Gkoutos, Georgios V.; Jeliazkova, Nina; Ilgenfritz, Hilmar; Ziegler, Martin; Gerhard, Beatrix; Kopetsky, Sebastian; Joshi, Deven; Walker, Lee; Svendsen, Claus; Sarimveis, Haralambos; Lobaskin, Vladimir; Himly, Martin; van Rijn, Jeaphianne; Winckers, Laurent; Millán Acosta, Javier; Willighagen, Egon; Melagraki, Georgia; Afantitis, Antreas; Lynch, Iseult; ","journal":"Front. Phys.","doi":"10.3389/fphy.2023.1271842","created_at":"2024-05-05T09:58:57.974Z","updated_at":"2024-05-05T09:58:57.974Z"},{"id":4274,"pubmed_id":null,"title":"Effect of the Albumin Corona on the Toxicity of Combined Graphene Oxide and Cadmium to Daphnia magna and Integration of the Datasets into the NanoCommons Knowledge Base","year":2020,"url":"http://dx.doi.org/10.3390/nano10101936","authors":"Martinez, Diego Stéfani T.; Da Silva, Gabriela H.; de Medeiros, Aline Maria Z.; Khan, Latif U.; Papadiamantis, Anastasios G.; Lynch, Iseult; ","journal":"Nanomaterials","doi":"10.3390/nano10101936","created_at":"2024-05-05T10:01:54.989Z","updated_at":"2024-05-05T10:01:54.989Z"}],"licence_links":[],"grants":[{"id":3916,"fairsharing_record_id":2979,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:26:30.413Z","updated_at":"2021-09-30T09:29:19.724Z","grant_id":197,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"731032","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3917,"fairsharing_record_id":2979,"organisation_id":1929,"relation":"maintains","created_at":"2021-09-30T09:26:30.439Z","updated_at":"2021-09-30T09:26:30.439Z","grant_id":null,"is_lead":true,"saved_state":{"id":1929,"name":"Nanocommons","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBazhFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3efcdc8c63c4229f3dbf72bba1f7ecec544b1388/NanoCommons-Logo-1.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2980","type":"fairsharing_records","attributes":{"created_at":"2020-05-07T10:22:34.000Z","updated_at":"2023-12-15T10:32:48.308Z","metadata":{"doi":"10.25504/FAIRsharing.0f86f9","name":"RRUFF Database","status":"ready","contacts":[{"contact_name":"Bob Downs","contact_email":"rdowns@u.arizona.edu"}],"homepage":"https://rruff.info/","citations":[{"publication_id":2976}],"identifier":2980,"description":"The goal of the RRUFF Database is to store a complete set of spectral data from well characterized minerals, and to make that data publicly available. This data can be used as a standard for mineralogists, geoscientists, gemologists and the general public for the identification of minerals both on earth and in space exploration.","abbreviation":"RRUFF Database","data_curation":{"url":"https://rruff.info/about/about_software.php","type":"manual/automated"},"support_links":[{"url":"hyang@email.arizona.edu","name":"Hexiong Yang","type":"Support email"},{"url":"https://rruff.info/about/about_general.php","name":"About","type":"Help documentation"},{"url":"https://rruff.info/about/about_status.php","name":"Mineral Status Values","type":"Help documentation"},{"url":"https://rruff.info/about/about_photography.php","name":"Photography for RRUFF","type":"Help documentation"},{"url":"https://rruff.info/about/about_sample_detail.php","name":"About Database Records","type":"Help documentation"},{"url":"https://rruff.info/about/about_equipment.php","name":"Equipment Used","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"https://rruff.info/about/about_software.php","name":"CrystalSleuth"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010766","name":"re3data:r3d100010766","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://rruff.info/about/about_general.php","type":"open","notes":"The project welcomes new samples including minerals not present in the database as well as additional samples from different localities."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001486","bsg-d001486"],"name":"FAIRsharing record for: RRUFF Database","abbreviation":"RRUFF Database","url":"https://fairsharing.org/10.25504/FAIRsharing.0f86f9","doi":"10.25504/FAIRsharing.0f86f9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the RRUFF Database is to store a complete set of spectral data from well characterized minerals, and to make that data publicly available. This data can be used as a standard for mineralogists, geoscientists, gemologists and the general public for the identification of minerals both on earth and in space exploration.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Gemology","Chemistry","Earth Science","Mineralogy"],"domains":["Chemical structure","Raman spectroscopy"],"taxonomies":["Not applicable"],"user_defined_tags":["Gemology"],"countries":["United States"],"publications":[{"id":2976,"pubmed_id":null,"title":"The power of databases: The RRUFF project","year":2016,"url":"https://rruff.info/about/downloads/HMC1-30.pdf","authors":"Barbara Lafuente, Robert T Downs, Hexiong Yang, Nate Stone","journal":"Highlights in Mineralogical Crystallography (pp. 1-29)","doi":null,"created_at":"2021-09-30T08:28:06.692Z","updated_at":"2021-09-30T08:28:06.692Z"}],"licence_links":[{"licence_name":"RRUFF Database Terms and Conditions","licence_id":715,"licence_url":"https://rruff.info/","link_id":631,"relation":"undefined"}],"grants":[{"id":3919,"fairsharing_record_id":2980,"organisation_id":113,"relation":"funds","created_at":"2021-09-30T09:26:30.495Z","updated_at":"2021-09-30T09:26:30.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":113,"name":"Arizona Science Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3922,"fairsharing_record_id":2980,"organisation_id":1599,"relation":"funds","created_at":"2021-09-30T09:26:30.578Z","updated_at":"2021-09-30T09:26:30.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":1599,"name":"Jet Propulsion Laboratory, California Institute of Technology, NASA, Pasadena, CA","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":3918,"fairsharing_record_id":2980,"organisation_id":2652,"relation":"funds","created_at":"2021-09-30T09:26:30.463Z","updated_at":"2021-09-30T09:26:30.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":2652,"name":"Strategic University Research Partnership program, NASA, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3920,"fairsharing_record_id":2980,"organisation_id":2151,"relation":"funds","created_at":"2021-09-30T09:26:30.524Z","updated_at":"2021-09-30T09:26:30.524Z","grant_id":null,"is_lead":false,"saved_state":{"id":2151,"name":"Newmont Mining Corporation, Greenwood Village, CO, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3921,"fairsharing_record_id":2980,"organisation_id":1053,"relation":"funds","created_at":"2021-09-30T09:26:30.548Z","updated_at":"2021-09-30T09:26:30.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":1053,"name":"Freeport-McMoRan Corporation, Phoenix, AZ, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3923,"fairsharing_record_id":2980,"organisation_id":1842,"relation":"maintains","created_at":"2021-09-30T09:26:30.620Z","updated_at":"2021-09-30T09:26:30.620Z","grant_id":null,"is_lead":false,"saved_state":{"id":1842,"name":"Mineralogy and cristallography lab, Department of Geosciences, University of Arizona, AZ, U.S.A","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3926,"fairsharing_record_id":2980,"organisation_id":1828,"relation":"funds","created_at":"2021-09-30T09:26:30.737Z","updated_at":"2021-09-30T09:26:30.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":1828,"name":"Michael Scott","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3924,"fairsharing_record_id":2980,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:30.658Z","updated_at":"2021-09-30T09:30:16.022Z","grant_id":627,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0622371","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3925,"fairsharing_record_id":2980,"organisation_id":1934,"relation":"funds","created_at":"2021-09-30T09:26:30.696Z","updated_at":"2021-09-30T09:30:56.568Z","grant_id":945,"is_lead":false,"saved_state":{"id":1934,"name":"NASA Ames Research Center, CA, USA","grant":"NASA NNX11AP82A","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2981","type":"fairsharing_records","attributes":{"created_at":"2020-05-09T08:14:25.000Z","updated_at":"2023-12-15T10:30:01.195Z","metadata":{"doi":"10.25504/FAIRsharing.VErHgW","name":"EMODnet Human Activities","status":"ready","homepage":"https://www.emodnet-humanactivities.eu/","identifier":2981,"description":"EMODnet Human Activities provides access to existing marine data on activities carried out in EU waters by building a single entry point for geographic information on 14 different themes. The portal includes information on geographical position, spatial extent of a series of activities related to the sea, their temporal variation, time when data was provided, and attributes to indicate the intensity of each activity. The data are aggregated and presented so as to preserve personal privacy and commercially-sensitive information. The data also include a time interval so that historic as well as current activities can be included.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.emodnet-humanactivities.eu/blog/","name":"EMODnet Human Activities Blog","type":"Blog/News"},{"url":"https://www.emodnet-humanactivities.eu/contact-us.php","name":"Contact Form","type":"Contact form"},{"url":"https://www.emodnet-humanactivities.eu/support.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.emodnet-humanactivities.eu/about-ha.php","name":"About","type":"Help documentation"},{"url":"https://www.emodnet-humanactivities.eu/documents.php","name":"Publications","type":"Help documentation"},{"url":"https://www.emodnet-humanactivities.eu/sources.php","name":"Data Sources","type":"Help documentation"},{"url":"https://www.emodnet-humanactivities.eu/partners.php","name":"Partners","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://emodnet.ec.europa.eu/en/contribute-data-emodnet","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001487","bsg-d001487"],"name":"FAIRsharing record for: EMODnet Human Activities","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.VErHgW","doi":"10.25504/FAIRsharing.VErHgW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EMODnet Human Activities provides access to existing marine data on activities carried out in EU waters by building a single entry point for geographic information on 14 different themes. The portal includes information on geographical position, spatial extent of a series of activities related to the sea, their temporal variation, time when data was provided, and attributes to indicate the intensity of each activity. The data are aggregated and presented so as to preserve personal privacy and commercially-sensitive information. The data also include a time interval so that historic as well as current activities can be included.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Geography","Maritime Engineering","Aquaculture","Earth Science"],"domains":["Geographical location","Marine environment"],"taxonomies":["All"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":3927,"fairsharing_record_id":2981,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:30.779Z","updated_at":"2021-09-30T09:26:30.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3928,"fairsharing_record_id":2981,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:30.820Z","updated_at":"2021-09-30T09:26:30.820Z","grant_id":null,"is_lead":true,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2959","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T10:20:25.000Z","updated_at":"2023-12-15T10:33:00.547Z","metadata":{"doi":"10.25504/FAIRsharing.ead9cc","name":"HEP Drug Interactions","status":"ready","contacts":[{"contact_name":"David Back","contact_email":"D.J.Back@liverpool.ac.uk","contact_orcid":"0000-0002-7381-4799"}],"homepage":"https://www.hep-druginteractions.org/","identifier":2959,"description":"Currently 170 million people worldwide are infected with the hepatitis C virus (HCV) and \u003e300 million with hepatitis B (HBV). Although interferon-free combination direct acting antivirals (DAAs) regimens have improved tolerability and efficacy for HCV-infected patients, drug-drug interactions (DDIs) have the potential to cause harm due to liver dysfunction, multiple comorbidities and comedications. This web site was established in 2010 by members of the Department of Pharmacology at the University of Liverpool to offer a resource for healthcare providers, researchers and patients to be able to understand and manage drug-drug interactions.","abbreviation":null,"data_curation":{"url":"https://hep-druginteractions.org/mission","type":"manual"},"support_links":[{"url":"https://www.hep-druginteractions.org/site_updates","name":"News","type":"Blog/News"},{"url":"https://www.hep-druginteractions.org/feedback","name":"Feedback","type":"Contact form"},{"url":"https://www.hep-druginteractions.org/prescribing-resources","name":"Printable materials in PDF format to aid prescribing","type":"Help documentation"},{"url":"https://www.hep-druginteractions.org/videos","name":"Series of mini-lectures on pharmacology and HEP","type":"Help documentation"},{"url":"https://twitter.com/hepinteractions","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://apps.apple.com/gb/app/liverpool-hep-ichart/id960012821","name":"Liverpool HEP iChart (AppStore)"},{"url":"https://play.google.com/store/apps/details?id=com.liverpooluni.icharthep\u0026hl=en","name":"Liverpool HEP iChart (Google Play)"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001463","bsg-d001463"],"name":"FAIRsharing record for: HEP Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ead9cc","doi":"10.25504/FAIRsharing.ead9cc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Currently 170 million people worldwide are infected with the hepatitis C virus (HCV) and \u003e300 million with hepatitis B (HBV). Although interferon-free combination direct acting antivirals (DAAs) regimens have improved tolerability and efficacy for HCV-infected patients, drug-drug interactions (DDIs) have the potential to cause harm due to liver dysfunction, multiple comorbidities and comedications. This web site was established in 2010 by members of the Department of Pharmacology at the University of Liverpool to offer a resource for healthcare providers, researchers and patients to be able to understand and manage drug-drug interactions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12913}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Virology","Biomedical Science","Epidemiology"],"domains":["Liver disease","Drug interaction","Disease"],"taxonomies":["Hepatitis b virus","Hepatitis C virus","Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"HEP Drug Interactions Terms and Conditions","licence_id":389,"licence_url":"https://www.hep-druginteractions.org/terms","link_id":857,"relation":"undefined"}],"grants":[{"id":3872,"fairsharing_record_id":2959,"organisation_id":14,"relation":"funds","created_at":"2021-09-30T09:26:29.090Z","updated_at":"2021-09-30T09:26:29.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":14,"name":"Abbvie, North Chicago, Illinois, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3875,"fairsharing_record_id":2959,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:29.198Z","updated_at":"2021-09-30T09:26:29.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3873,"fairsharing_record_id":2959,"organisation_id":907,"relation":"funds","created_at":"2021-09-30T09:26:29.128Z","updated_at":"2021-09-30T09:26:29.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":907,"name":"European Association for the Study of the Liver (EASL)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3874,"fairsharing_record_id":2959,"organisation_id":1585,"relation":"funds","created_at":"2021-09-30T09:26:29.166Z","updated_at":"2021-09-30T09:26:29.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":1585,"name":"Janssen EMEA, Beerse, Belgium","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3876,"fairsharing_record_id":2959,"organisation_id":1907,"relation":"funds","created_at":"2021-09-30T09:26:29.232Z","updated_at":"2021-09-30T09:26:29.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1907,"name":"MSD, Hoddesdon, UK","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2960","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T10:52:19.000Z","updated_at":"2023-12-15T10:33:04.210Z","metadata":{"doi":"10.25504/FAIRsharing.eca8fd","name":"Cancer Drug Interactions","status":"ready","contacts":[{"contact_name":"Nielka Van Erp","contact_email":"nielka.vanerp@radboudumc.nl","contact_orcid":"0000-0003-1553-178X"}],"homepage":"https://cancer-druginteractions.org/","citations":[],"identifier":2960,"description":"Nearly 60% of patients undergoing cancer treatment are estimated to have had at least one potential drug-drug interaction; for patients receiving oral anticancer therapy, up to 50% have been reported to experience a potential drug-drug interaction, with 16% experiencing a major event. Drug-drug interactions are therefore a significant issue for cancer patients and the health care professionals who treat them. Combining the internationally recognised drug-drug interactions expertise of the University of Liverpool (UK) with the clinical pharmacology in oncology and haemotology expertise of Radboud University, Nijmegen (the Netherlands), this site was established in 2017 in response to the need for improved management of DDIs with anti-cancer agents.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://cancer-druginteractions.org/support-us","name":"Donate","type":"Other"},{"url":"https://cancer-druginteractions.org/feedbacks/new","name":"Feedback","type":"Contact form"},{"url":"https://cancer-druginteractions.org/site_updates","name":"Website updates","type":"Help documentation"},{"url":"https://twitter.com/CancerDDIs","type":"Twitter"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"https://apps.apple.com/gb/app/cancer-ichart/id1414833100","name":"Cancer iChart (AppStore)"},{"url":"https://play.google.com/store/apps/details?id=com.liverpooluni.ichartoncology\u0026hl=en_GB","name":"Cancer iChart (Google Play)"}],"data_access_condition":{"url":"https://cancer-druginteractions.org/view_all_interactions/new","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001464","bsg-d001464"],"name":"FAIRsharing record for: Cancer Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.eca8fd","doi":"10.25504/FAIRsharing.eca8fd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Nearly 60% of patients undergoing cancer treatment are estimated to have had at least one potential drug-drug interaction; for patients receiving oral anticancer therapy, up to 50% have been reported to experience a potential drug-drug interaction, with 16% experiencing a major event. Drug-drug interactions are therefore a significant issue for cancer patients and the health care professionals who treat them. Combining the internationally recognised drug-drug interactions expertise of the University of Liverpool (UK) with the clinical pharmacology in oncology and haemotology expertise of Radboud University, Nijmegen (the Netherlands), this site was established in 2017 in response to the need for improved management of DDIs with anti-cancer agents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Biomedical Science"],"domains":["Cancer","Drug interaction","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Drug Interactions Terms and Conditions","licence_id":254,"licence_url":"https://cancer-druginteractions.org/terms","link_id":2326,"relation":"undefined"}],"grants":[{"id":3878,"fairsharing_record_id":2960,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:26:29.288Z","updated_at":"2021-09-30T09:26:29.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3881,"fairsharing_record_id":2960,"organisation_id":311,"relation":"funds","created_at":"2021-09-30T09:26:29.371Z","updated_at":"2021-09-30T09:26:29.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":311,"name":"Bristol Myers Squibb, New York, NY, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3877,"fairsharing_record_id":2960,"organisation_id":2399,"relation":"maintains","created_at":"2021-09-30T09:26:29.265Z","updated_at":"2021-09-30T09:26:29.265Z","grant_id":null,"is_lead":false,"saved_state":{"id":2399,"name":"Radboud University Medical Center, Nijmegen, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3879,"fairsharing_record_id":2960,"organisation_id":1585,"relation":"funds","created_at":"2021-09-30T09:26:29.314Z","updated_at":"2021-09-30T09:26:29.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":1585,"name":"Janssen EMEA, Beerse, Belgium","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3880,"fairsharing_record_id":2960,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:29.346Z","updated_at":"2021-09-30T09:26:29.346Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3882,"fairsharing_record_id":2960,"organisation_id":1548,"relation":"funds","created_at":"2021-09-30T09:26:29.398Z","updated_at":"2021-09-30T09:26:29.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":1548,"name":"Ipsen, Boulogne-Billancourt, France","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":9200,"fairsharing_record_id":2960,"organisation_id":2312,"relation":"funds","created_at":"2022-04-11T12:07:21.501Z","updated_at":"2022-04-11T12:07:21.501Z","grant_id":null,"is_lead":false,"saved_state":{"id":2312,"name":"Pfizer, USA","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2961","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T12:23:51.000Z","updated_at":"2023-06-23T10:50:36.071Z","metadata":{"doi":"10.25504/FAIRsharing.58ee0e","name":"Novartis Clinical Trial Results Database","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"icm.phfr@novartis.com"}],"homepage":"https://www.novartis.com/ca-en/healthcare-professionals/novartis-clinical-trials","citations":[],"identifier":2961,"description":"Novartis launched the results website in 2005 becoming one of the first companies to publically post results from Phase 2b-4 interventional trials. The Novartis position evolved over time to include public disclosure of results from Phase 1- 2a interventional trials in patients.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.novartis.com/sites/novartis_com/files/clinical-trial-data-transparency.pdf","name":"Novartis Position on Clinical Study1 Transparency Clinical Study Registration, Results Reporting and Data Sharing","type":"Help documentation"},{"url":"https://www.novartis.com/clinicaltrials","name":"Learn more","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013312","name":"re3data:r3d100013312","portal":"re3data"}],"data_access_condition":{"url":"https://www.novctrd.com/#/clinicaltrialresults?category=MedicalCondition","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Only Novartis clinical trials results are stored"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001465","bsg-d001465"],"name":"FAIRsharing record for: Novartis Clinical Trial Results Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.58ee0e","doi":"10.25504/FAIRsharing.58ee0e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Novartis launched the results website in 2005 becoming one of the first companies to publically post results from Phase 2b-4 interventional trials. The Novartis position evolved over time to include public disclosure of results from Phase 1- 2a interventional trials in patients.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12361},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12914}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Biomedical Science","Epidemiology"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["France","Switzerland"],"publications":[],"licence_links":[{"licence_name":"Novartis Terms of Use","licence_id":1047,"licence_url":"https://www.novartis.com/ca-en/terms-use","link_id":3171,"relation":"applies_to_content"},{"licence_name":"Novartis Privacy Policy","licence_id":1048,"licence_url":"https://www.novartis.com/ca-en/privacy-policy","link_id":3172,"relation":"applies_to_content"}],"grants":[{"id":3884,"fairsharing_record_id":2961,"organisation_id":2194,"relation":"maintains","created_at":"2021-09-30T09:26:29.447Z","updated_at":"2021-09-30T09:26:29.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":2194,"name":"Novartis","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2962","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T13:23:08.000Z","updated_at":"2023-12-15T10:28:54.429Z","metadata":{"doi":"10.25504/FAIRsharing.4ff837","name":"Lens ","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"support@lens.org"}],"homepage":"https://www.lens.org/","citations":[],"identifier":2962,"description":"The Lens is building an interactive tool for understanding the landscape of patent and research works in any domain, including human coronaviruses and COVID-19.","abbreviation":null,"data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.linkedin.com/company/lens-org/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.lens.org/lens/feedback?returnTo=/","name":"Feedback","type":"Contact form"},{"url":"feedback@lens.org","name":"General contact","type":"Support email"},{"url":"https://support.lens.org/","type":"Help documentation"},{"url":"https://support.lens.org/lens-video-tutorials/","name":"Video tutorials","type":"Help documentation"},{"url":"https://twitter.com/TheLensOrg","name":"@TheLensOrg","type":"Twitter"},{"url":"https://about.lens.org/category/release-notes/","name":"Release Notes","type":"Help documentation"},{"url":"https://about.lens.org/category/news/","type":"Blog/News"}],"year_creation":2020,"data_versioning":"not found","associated_tools":[{"url":"https://www.lens.org/lens/patcite","name":"PatCite"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013309","name":"re3data:r3d100013309","portal":"re3data"}],"data_access_condition":{"url":"https://www.lens.org/lens/accounts","type":"partially open","notes":"Search and analyse patents and scholarly works are open for free"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.lens.org/lens/accounts","type":"controlled","notes":"Data management is not free of charge"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001466","bsg-d001466"],"name":"FAIRsharing record for: Lens ","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4ff837","doi":"10.25504/FAIRsharing.4ff837","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Lens is building an interactive tool for understanding the landscape of patent and research works in any domain, including human coronaviruses and COVID-19.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12362},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12915}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Biomedical Science","Epidemiology"],"domains":["Patent","Disease"],"taxonomies":["Coronaviridae","Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Lens Terms of Use","licence_id":1031,"licence_url":"https://about.lens.org/policies/#termsuse","link_id":3071,"relation":"applies_to_content"},{"licence_name":"Lens Individual Commercial Use Agreement","licence_id":1032,"licence_url":"https://about.lens.org/individual-commercial-use/","link_id":3072,"relation":"applies_to_content"}],"grants":[{"id":3885,"fairsharing_record_id":2962,"organisation_id":2456,"relation":"funds","created_at":"2021-09-30T09:26:29.472Z","updated_at":"2021-09-30T09:26:29.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":2456,"name":"Rockefeller Foundation, New-York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2963","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T13:49:28.000Z","updated_at":"2024-04-08T09:53:33.280Z","metadata":{"doi":"10.25504/FAIRsharing.7JCjD0","name":"Metabolic Atlas","status":"ready","contacts":[{"contact_name":"Mihail Anton","contact_email":"mihail.anton@chalmers.se","contact_orcid":"0000-0002-7753-9042"}],"homepage":"https://metabolicatlas.org/","citations":[{"doi":"10.1126/scisignal.aaz1482","pubmed_id":32209698,"publication_id":2910},{"doi":"10.1073/pnas.2102344118","pubmed_id":34282017,"publication_id":3245},{"doi":"10.1093/nar/gkac831","pubmed_id":null,"publication_id":3784}],"identifier":2963,"description":"Metabolic Atlas is a web platform integrating open-source genome scale metabolic models (GEMs) for easy browsing and analysis. The goal is to collect curated GEMs, and to bring these models closer to FAIR principles. The website provides visualisations and comparisons of the GEMs, and links to resources, algorithms, other databases, and more general software applications. Metabolic Atlas is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. In short, the vision is to create a one-stop-shop for everything metabolism related. ","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"contact@metabolicatlas.org","name":"contact@metabolicatlas.org","type":"Support email"},{"url":"https://github.com/SysBioChalmers/MetabolicAtlas/releases","name":"Github","type":"Github"},{"url":"https://metabolicatlas.org/documentation","name":"Documentation","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001467","bsg-d001467"],"name":"FAIRsharing record for: Metabolic Atlas","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7JCjD0","doi":"10.25504/FAIRsharing.7JCjD0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metabolic Atlas is a web platform integrating open-source genome scale metabolic models (GEMs) for easy browsing and analysis. The goal is to collect curated GEMs, and to bring these models closer to FAIR principles. The website provides visualisations and comparisons of the GEMs, and links to resources, algorithms, other databases, and more general software applications. Metabolic Atlas is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. In short, the vision is to create a one-stop-shop for everything metabolism related. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12916},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19554}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metagenomics","Clinical Chemistry","Metabolomics","Synthetic Biology","Systems Biology"],"domains":["Mathematical model","Model organism","Network model","Biomarker","Pathway model"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":["Genome Scale Metabolic Model"],"countries":["Denmark","Sweden","United Kingdom","United States"],"publications":[{"id":2910,"pubmed_id":32209698,"title":"An atlas of human metabolism.","year":2020,"url":"http://doi.org/eaaz1482","authors":"Robinson JL,Kocabas P,Wang H,Cholley PE,Cook D,Nilsson A,Anton M,Ferreira R,Domenzain I,Billa V,Limeta A,Hedin A,Gustafsson J,Kerkhoven EJ,Svensson LT,Palsson BO,Mardinoglu A,Hansson L,Uhlen M,Nielsen J","journal":"Sci Signal","doi":"10.1126/scisignal.aaz1482","created_at":"2021-09-30T08:27:58.350Z","updated_at":"2021-09-30T08:27:58.350Z"},{"id":3245,"pubmed_id":34282017,"title":"Genome-scale metabolic network reconstruction of model animals as a platform for translational research","year":2021,"url":"http://dx.doi.org/10.1073/pnas.2102344118","authors":"Wang, Hao; Robinson, Jonathan L.; Kocabas, Pinar; Gustafsson, Johan; Anton, Mihail; Cholley, Pierre-Etienne; Huang, Shan; Gobom, Johan; Svensson, Thomas; Uhlen, Mattias; Zetterberg, Henrik; Nielsen, Jens; ","journal":"Proc Natl Acad Sci USA","doi":"10.1073/pnas.2102344118","created_at":"2022-03-03T07:27:33.017Z","updated_at":"2022-03-03T07:27:33.017Z"},{"id":3246,"pubmed_id":null,"title":"Human metabolic atlas: an online resource for human metabolism","year":2015,"url":"http://dx.doi.org/10.1093/database/bav068","authors":"Pornputtapong, Natapol; Nookaew, Intawat; Nielsen, Jens; ","journal":"Database","doi":"10.1093/database/bav068","created_at":"2022-03-03T07:39:38.631Z","updated_at":"2022-03-03T07:39:38.631Z"},{"id":3784,"pubmed_id":null,"title":"GotEnzymes: an extensive database of enzyme parameter predictions","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac831","authors":"Li, Feiran; Chen, Yu; Anton, Mihail; Nielsen, Jens; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac831","created_at":"2023-02-06T12:08:02.005Z","updated_at":"2023-02-06T12:08:02.005Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3578,"relation":"applies_to_content"}],"grants":[{"id":8901,"fairsharing_record_id":2963,"organisation_id":491,"relation":"collaborates_on","created_at":"2022-03-03T07:37:03.722Z","updated_at":"2022-03-03T07:37:03.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":491,"name":"Chalmers University of Technology, Gothenburg, Sweden","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":8903,"fairsharing_record_id":2963,"organisation_id":2795,"relation":"funds","created_at":"2022-03-03T07:42:31.610Z","updated_at":"2022-03-03T07:42:31.610Z","grant_id":null,"is_lead":false,"saved_state":{"id":2795,"name":"The Knut and Alice Wallenberg Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8902,"fairsharing_record_id":2963,"organisation_id":1952,"relation":"maintains","created_at":"2022-03-03T07:37:03.790Z","updated_at":"2022-03-03T07:37:03.790Z","grant_id":null,"is_lead":true,"saved_state":{"id":1952,"name":"National Bioinformatics Structure Sweden, Uppsala, Sweden","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBZUT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--461a8c7db9a83566df1999899af0900b2edf8bd3/metAtlas_logo.png?disposition=inline","exhaustive_licences":true}},{"id":"2964","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T14:04:36.000Z","updated_at":"2022-07-20T10:24:54.309Z","metadata":{"name":"Influenza Life Cycle pathway map","status":"deprecated","contacts":[{"contact_name":"Yukiko Matsuoka","contact_email":"myukiko@sbi.jp","contact_orcid":"0000-0002-5171-9096"}],"homepage":"https://www.influenza-x.org/","citations":[],"identifier":2964,"description":"To understand the mechanisms of influenza A viral replication and the host responses, we took the literature-based manual curation approach to construct a comprehensive influenza virus-host respoce map. The infuenza A virus (IAV) comprehensive pathway map (FluMap) was constructed by manual curation with the literature as well as various pathway databases such as Reactome, KEGG and Panther Pathway database.","abbreviation":"FluMap","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.influenza-x.org/flumap/About.html","name":"About","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2022-01-27","deprecation_reason":"This resource no longer is being served by the listed homepage. No alternative homepage can be found. Please get in touch with us if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001468","bsg-d001468"],"name":"FAIRsharing record for: Influenza Life Cycle pathway map","abbreviation":"FluMap","url":"https://fairsharing.org/fairsharing_records/2964","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To understand the mechanisms of influenza A viral replication and the host responses, we took the literature-based manual curation approach to construct a comprehensive influenza virus-host respoce map. The infuenza A virus (IAV) comprehensive pathway map (FluMap) was constructed by manual curation with the literature as well as various pathway databases such as Reactome, KEGG and Panther Pathway database.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12917}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Life Science","Epidemiology"],"domains":["Computational biological predictions","Disease","Literature curation"],"taxonomies":["Influenza virus"],"user_defined_tags":["Drug Target"],"countries":["Japan"],"publications":[{"id":2888,"pubmed_id":24088197,"title":"A comprehensive map of the influenza A virus replication cycle.","year":2013,"url":"http://doi.org/10.1186/1752-0509-7-97","authors":"Matsuoka Y,Matsumae H,Katoh M,Eisfeld AJ,Neumann G,Hase T,Ghosh S,Shoemaker JE,Lopes TJ,Watanabe T,Watanabe S,Fukuyama S,Kitano H,Kawaoka Y","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-7-97","created_at":"2021-09-30T08:27:55.649Z","updated_at":"2021-09-30T08:27:55.649Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":487,"relation":"undefined"}],"grants":[{"id":3886,"fairsharing_record_id":2964,"organisation_id":2694,"relation":"maintains","created_at":"2021-09-30T09:26:29.497Z","updated_at":"2021-09-30T09:26:29.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":2694,"name":"Systems Biology Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2966","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T22:22:02.000Z","updated_at":"2023-12-15T10:29:13.861Z","metadata":{"doi":"10.25504/FAIRsharing.a971f7","name":"myExperiment","status":"ready","contacts":[],"homepage":"https://www.myexperiment.org/","citations":[{"doi":"10.1093/nar/gkq429","pubmed_id":20501605,"publication_id":2897}],"identifier":2966,"description":"myExperiment is a collaborative environment where scientists can safely publish their workflows and in silico experiments, share them with groups and find those of others. Workflows, other digital objects and bundles (called Packs) can now be swapped, sorted and searched like photos and videos on the Web.","abbreviation":"myExperiment","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.myexperiment.org/feedback","type":"Contact form"},{"url":"https://lists.nongnu.org/mailman/listinfo/myexperiment-discuss","name":"Mailing list","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010473","name":"re3data:r3d100010473","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001795","name":"SciCrunch:RRID:SCR_001795","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001470","bsg-d001470"],"name":"FAIRsharing record for: myExperiment","abbreviation":"myExperiment","url":"https://fairsharing.org/10.25504/FAIRsharing.a971f7","doi":"10.25504/FAIRsharing.a971f7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: myExperiment is a collaborative environment where scientists can safely publish their workflows and in silico experiments, share them with groups and find those of others. Workflows, other digital objects and bundles (called Packs) can now be swapped, sorted and searched like photos and videos on the Web.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12265}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics"],"domains":["Workflow"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2897,"pubmed_id":20501605,"title":"myExperiment: a repository and social network for the sharing of bioinformatics workflows.","year":2010,"url":"http://doi.org/10.1093/nar/gkq429","authors":"Goble CA,Bhagat J,Aleksejevs S,Cruickshank D,Michaelides D,Newman D,Borkum M,Bechhofer S,Roos M,Li P,De Roure D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq429","created_at":"2021-09-30T08:27:56.688Z","updated_at":"2021-09-30T11:29:48.338Z"}],"licence_links":[{"licence_name":"myExperiment Privacy Policy","licence_id":903,"licence_url":"https://www.myexperiment.org/privacy","link_id":2574,"relation":"applies_to_content"}],"grants":[{"id":3890,"fairsharing_record_id":2966,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:26:29.603Z","updated_at":"2021-09-30T09:26:29.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3892,"fairsharing_record_id":2966,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:29.687Z","updated_at":"2021-09-30T09:29:07.237Z","grant_id":102,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"270137","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8028,"fairsharing_record_id":2966,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:29.545Z","updated_at":"2021-09-30T09:30:29.604Z","grant_id":734,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"283359","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8056,"fairsharing_record_id":2966,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:41.203Z","updated_at":"2021-09-30T09:30:41.259Z","grant_id":822,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"270192","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3889,"fairsharing_record_id":2966,"organisation_id":3122,"relation":"maintains","created_at":"2021-09-30T09:26:29.572Z","updated_at":"2021-09-30T09:26:29.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":3122,"name":"University of Southampton, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3891,"fairsharing_record_id":2966,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:26:29.645Z","updated_at":"2021-09-30T09:26:29.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2967","type":"fairsharing_records","attributes":{"created_at":"2020-04-27T14:46:50.000Z","updated_at":"2023-06-23T11:00:55.749Z","metadata":{"doi":"10.25504/FAIRsharing.6f54c5","name":"International Human Epigenome Consortium Data Portal","status":"ready","contacts":[{"contact_name":"IHEC Data Portal Helpdesk","contact_email":"info@epigenomesportal.ca"}],"homepage":"https://epigenomesportal.ca/ihec/help.html","citations":[{"doi":"10.1016/j.cels.2016.10.019","pubmed_id":27863956,"publication_id":2905}],"identifier":2967,"description":"The International Human Epigenome Consortium (IHEC) coordinates the production of reference epigenome maps through the characterization of the regulome, methylome, and transcriptome from a wide range of tissues and cell types. The IHEC Data Portal provides discovery, visualization, analysis, download, and sharing of epigenomics data, is the official source to navigate through IHEC datasets, and represents a strategy for unifying the distributed data produced by international research consortia.","abbreviation":"IHEC Data Portal","data_curation":{"type":"none"},"support_links":[{"url":"https://epigenomesportal.ca/ihec/help.html","name":"Help","type":"Help documentation"},{"url":"https://epigenomesportal.ca/ihec/community.html","name":"Community","type":"Help documentation"},{"url":"https://epigenomesportal.ca/ihec/about.html","name":"About","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013991","name":"re3data:r3d100013991","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014625","name":"SciCrunch:RRID:SCR_014625","portal":"SciCrunch"}],"data_access_condition":{"url":"https://epigenomesportal.ca/edcc/data_access.html","type":"partially open","notes":"Access to raw data is controlled."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001471","bsg-d001471"],"name":"FAIRsharing record for: International Human Epigenome Consortium Data Portal","abbreviation":"IHEC Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.6f54c5","doi":"10.25504/FAIRsharing.6f54c5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Human Epigenome Consortium (IHEC) coordinates the production of reference epigenome maps through the characterization of the regulome, methylome, and transcriptome from a wide range of tissues and cell types. The IHEC Data Portal provides discovery, visualization, analysis, download, and sharing of epigenomics data, is the official source to navigate through IHEC datasets, and represents a strategy for unifying the distributed data produced by international research consortia.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11133},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12363},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12919}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenomics","Epigenetics"],"domains":["Expression data"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2905,"pubmed_id":27863956,"title":"The International Human Epigenome Consortium Data Portal.","year":2016,"url":"http://doi.org/S2405-4712(16)30362-3","authors":"Bujold D,Morais DAL,Gauthier C,Cote C,Caron M,Kwan T,Chen KC,Laperle J,Markovits AN,Pastinen T,Caron B,Veilleux A,Jacques PE,Bourque G","journal":"Cell Syst","doi":"10.1016/j.cels.2016.10.019","created_at":"2021-09-30T08:27:57.716Z","updated_at":"2021-09-30T08:27:57.716Z"}],"licence_links":[{"licence_name":"IHEC Data Portal Terms and Conditions","licence_id":429,"licence_url":"https://epigenomesportal.ca/ihec/about.html#terms","link_id":876,"relation":"undefined"}],"grants":[{"id":3893,"fairsharing_record_id":2967,"organisation_id":1494,"relation":"maintains","created_at":"2021-09-30T09:26:29.724Z","updated_at":"2021-09-30T09:26:29.724Z","grant_id":null,"is_lead":true,"saved_state":{"id":1494,"name":"International Human Epigenome Consortium (IHEC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2968","type":"fairsharing_records","attributes":{"created_at":"2020-04-30T15:18:38.000Z","updated_at":"2023-06-22T17:42:02.976Z","metadata":{"doi":"10.25504/FAIRsharing.cF5x1V","name":"Infectious Diseases Data Observatory","status":"ready","contacts":[{"contact_name":"Professor Philippe Guérin","contact_email":"info@iddo.org","contact_orcid":"0000-0002-6333-0109"}],"homepage":"https://www.iddo.org/","identifier":2968,"description":"The Infectious Diseases Data Observatory (IDDO) assembles clinical, laboratory and epidemiological data on a collaborative platform to be shared with the research and humanitarian communities. The data are analysed to generate reliable evidence and innovative resources that enable research-driven responses to the major challenges of emerging and neglected infections. Data is organized into research themes, with both submitters storing and requesters asking for data via the central IDDO platform. Certain data (listed in data inventories or available via various portals) is available publicly, while the rest must be applied and permission received for.","abbreviation":"IDDO","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.linkedin.com/company/iddo---infectious-diseases-data-observatory/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.iddo.org/news","name":"News","type":"Blog/News"},{"url":"comms@iddo.org","name":"Communications Team","type":"Support email"},{"url":"https://iddo.us2.list-manage.com/subscribe?u=fd49ccbdae5a59ea957607de1\u0026id=04f4ad3433","name":"IDDO newsletter","type":"Mailing list"},{"url":"https://www.iddo.org/research-themes","name":"Research Themes","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/ebola","name":"Ebola Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/covid-19","name":"COVID 19 Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/malaria","name":"Malaria Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/medicine-quality","name":"Medicine Quality Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/antimicrobial-resistance","name":"Antimicrobial Resistance Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/schistosomiasis-sths","name":"Schistosomiasis and STHs Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/chagas-disease","name":"Chagas Disease Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/prospective-disease-platforms","name":"Prospective Disease Platforms Theme","type":"Help documentation"},{"url":"https://www.iddo.org/tools-and-resources","name":"Tools and Resources","type":"Help documentation"},{"url":"https://www.iddo.org/about-us/our-work","name":"About","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UC71fat27jtH6sAQttB4m76A","name":"Youtube","type":"Video"},{"url":"https://www.iddo.org/document/iddo-data-access-journey","name":"IDDO Data Access Journey","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/visceral-leishmaniasis","name":"VL Theme","type":"Help documentation"},{"url":"https://twitter.com/IDDOnews","name":"@IDDOnews","type":"Twitter"}],"year_creation":2016,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013358","name":"re3data:r3d100013358","portal":"re3data"}],"data_access_condition":{"url":"https://www.iddo.org/data-sharing/accessing-data","type":"controlled","notes":"The data are accessible on request, after validation of the request"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.iddo.org/data-sharing/contributing-data","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001473","bsg-d001473"],"name":"FAIRsharing record for: Infectious Diseases Data Observatory","abbreviation":"IDDO","url":"https://fairsharing.org/10.25504/FAIRsharing.cF5x1V","doi":"10.25504/FAIRsharing.cF5x1V","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Infectious Diseases Data Observatory (IDDO) assembles clinical, laboratory and epidemiological data on a collaborative platform to be shared with the research and humanitarian communities. The data are analysed to generate reliable evidence and innovative resources that enable research-driven responses to the major challenges of emerging and neglected infections. Data is organized into research themes, with both submitters storing and requesters asking for data via the central IDDO platform. Certain data (listed in data inventories or available via various portals) is available publicly, while the rest must be applied and permission received for.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12364},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12961}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Public Health","Virology","Biomedical Science","Epidemiology"],"domains":["Antimicrobial","Malaria","Infection","Disease"],"taxonomies":["Coronaviridae","ebolavirus","Homo sapiens","Leishmania","Plasmodium","Plasmodium falciparum","Plasmodium vivax","Schistosoma","Trypanosoma cruzi"],"user_defined_tags":["Antimicrobial resistance","COVID-19"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"IDDO Data Access","licence_id":419,"licence_url":"https://www.iddo.org/document/iddo-data-access-guidelines","link_id":257,"relation":"undefined"},{"licence_name":"IDDO Privacy Notice","licence_id":420,"licence_url":"https://www.iddo.org/privacy-notice","link_id":248,"relation":"undefined"},{"licence_name":"IDDO Terms of Use","licence_id":421,"licence_url":"https://www.iddo.org/terms-of-use","link_id":254,"relation":"undefined"}],"grants":[{"id":3894,"fairsharing_record_id":2968,"organisation_id":3258,"relation":"maintains","created_at":"2021-09-30T09:26:29.757Z","updated_at":"2021-09-30T09:26:29.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":3258,"name":"WorldWide Antimalarial Resistance Network","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3897,"fairsharing_record_id":2968,"organisation_id":1340,"relation":"maintains","created_at":"2021-09-30T09:26:29.843Z","updated_at":"2021-09-30T09:26:29.843Z","grant_id":null,"is_lead":true,"saved_state":{"id":1340,"name":"Infectious Diseases Data Observatory (IDDO), Oxford, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3895,"fairsharing_record_id":2968,"organisation_id":472,"relation":"maintains","created_at":"2021-09-30T09:26:29.781Z","updated_at":"2021-09-30T09:26:29.781Z","grant_id":null,"is_lead":false,"saved_state":{"id":472,"name":"Centre for Tropical Medicine and Global Health, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3896,"fairsharing_record_id":2968,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:26:29.811Z","updated_at":"2021-09-30T09:26:29.811Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2939","type":"fairsharing_records","attributes":{"created_at":"2020-04-13T09:04:26.000Z","updated_at":"2024-06-27T12:31:49.536Z","metadata":{"doi":"10.25504/FAIRsharing.81e8a7","name":"WFCC Global Catalogue of Microorganisms","status":"ready","contacts":[{"contact_name":"Juncai Ma","contact_email":"ma@im.ac.cn","contact_orcid":"0000-0002-2405-2484"}],"homepage":"http://gcm.wdcm.org/","citations":[],"identifier":2939,"description":"The WFCC Global Catalogue of Microorganisms (GCM) system is designed to help microorganism culture collections to manage, disseminate and share the information related to their holdings. It also provides a uniform interface for the scientific and industrial communities to access the comprehensive microbial resource information.","abbreviation":"GCM","data_curation":{"type":"not found"},"support_links":[{"url":"wulh@im.ac.cn","name":"Linhuan Wu","type":"Support email"},{"url":"philippe.desmeth@belspo.be","name":"Philippe Desmeth","type":"Support email"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010696","name":"re3data:r3d100010696","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_016460","name":"SciCrunch:RRID:SCR_016460","portal":"SciCrunch"}],"data_access_condition":{"url":"https://gcm.wdcm.org/datausagepolicy","type":"partially open","notes":"Permission from the GCM team is required, in some cases."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gcm.wdcm.org/joinus/","type":"controlled","notes":"Contact GCM administrator for confirmation."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001443","bsg-d001443"],"name":"FAIRsharing record for: WFCC Global Catalogue of Microorganisms","abbreviation":"GCM","url":"https://fairsharing.org/10.25504/FAIRsharing.81e8a7","doi":"10.25504/FAIRsharing.81e8a7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WFCC Global Catalogue of Microorganisms (GCM) system is designed to help microorganism culture collections to manage, disseminate and share the information related to their holdings. It also provides a uniform interface for the scientific and industrial communities to access the comprehensive microbial resource information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Molecular Microbiology","Life Science","Microbiology"],"domains":[],"taxonomies":["Algae","Archaea","Bacteria","Fungi","Protozoa","Viruses"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2843,"pubmed_id":24377417,"title":"Global catalogue of microorganisms (gcm): a comprehensive database and information retrieval, analysis, and visualization system for microbial resources.","year":2014,"url":"http://doi.org/10.1186/1471-2164-14-933","authors":"Wu L,Sun Q,Sugawara H,Yang S,Zhou Y,McCluskey K,Vasilenko A,Suzuki K,Ohkuma M,Lee Y,Robert V,Ingsriswang S,Guissart F,Philippe D,Ma J","journal":"BMC Genomics","doi":"10.1186/1471-2164-14-933","created_at":"2021-09-30T08:27:49.723Z","updated_at":"2021-09-30T08:27:49.723Z"},{"id":2844,"pubmed_id":29718202,"title":"The global catalogue of microorganisms 10K type strain sequencing project: closing the genomic gaps for the validly published prokaryotic and fungi species.","year":2018,"url":"http://doi.org/10.1093/gigascience/giy026","authors":"Wu L,McCluskey K,Desmeth P,Liu S,Hideaki S,Yin Y,Moriya O,Itoh T,Kim CY,Lee JS,Zhou Y,Kawasaki H,Hazbon MH,Robert V,Boekhout T,Lima N,Evtushenko L,Boundy-Mills K,Bunk B,Moore ERB,Eurwilaichitr L,Ingsriswang S,Shah H,Yao S,Jin T,Huang J,Shi W,Sun Q,Fan G,Li W,Li X,Kurtboke I,Ma J","journal":"Gigascience","doi":"10.1093/gigascience/giy026","created_at":"2021-09-30T08:27:49.891Z","updated_at":"2021-09-30T08:27:49.891Z"},{"id":2845,"pubmed_id":30832757,"title":"The Global Catalogue of Microorganisms (GCM) 10K type strain sequencing project: providing services to taxonomists for standard genome sequencing and annotation.","year":2019,"url":"http://doi.org/10.1099/ijsem.0.003276","authors":"Wu L,Ma J","journal":"Int J Syst Evol Microbiol","doi":"10.1099/ijsem.0.003276","created_at":"2021-09-30T08:27:50.048Z","updated_at":"2021-09-30T08:27:50.048Z"},{"id":3891,"pubmed_id":null,"title":"gcType: a high-quality type strain genome database for microbial phylogenetic and functional research","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa957","authors":"Shi, Wenyu; Sun, Qinglan; Fan, Guomei; Hideaki, Sugawara; Moriya, Ohkuma; Itoh, Takashi; Zhou, Yuguang; Cai, Man; Kim, Song-Gun; Lee, Jung-Sook; Sedlacek, Ivo; Arahal, David R; Lucena, Teresa; Kawasaki, Hiroko; Evtushenko, Lyudmila; Weir, Bevan S; Alexander, Sarah; Dénes, Dlauchy; Tanasupawat, Somboon; Eurwilaichitr, Lily; Ingsriswang, Supawadee; Gomez-Gil, Bruno; Hazbón, Manzour H; Riojas, Marco A; Suwannachart, Chatrudee; Yao, Su; Vandamme, Peter; Peng, Fang; Chen, Zenghui; Liu, Dongmei; Sun, Xiuqiang; Zhang, Xinjiao; Zhou, Yuanchun; Meng, Zhen; Wu, Linhuan; Ma, Juncai; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa957","created_at":"2023-06-06T08:46:49.798Z","updated_at":"2023-06-06T08:46:49.798Z"}],"licence_links":[{"licence_name":"GCM Data Usage Policy","licence_id":947,"licence_url":"https://gcm.wdcm.org/datausagepolicy","link_id":2737,"relation":"applies_to_content"}],"grants":[{"id":3792,"fairsharing_record_id":2939,"organisation_id":3244,"relation":"maintains","created_at":"2021-09-30T09:26:26.586Z","updated_at":"2021-09-30T09:26:26.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":3244,"name":"Word Data Center for Microorganisms, Information Network Center, Institute of Microbiology, Chinese Academy of Sciences","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3791,"fairsharing_record_id":2939,"organisation_id":2738,"relation":"funds","created_at":"2021-09-30T09:26:26.562Z","updated_at":"2021-09-30T09:32:49.538Z","grant_id":1793,"is_lead":false,"saved_state":{"id":2738,"name":"The 13th Five-year Informatization Plan of Chinese Academy of Sciences","grant":"XXH13505","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8476,"fairsharing_record_id":2939,"organisation_id":2738,"relation":"funds","created_at":"2021-09-30T09:32:49.728Z","updated_at":"2021-09-30T09:32:49.771Z","grant_id":1795,"is_lead":false,"saved_state":{"id":2738,"name":"The 13th Five-year Informatization Plan of Chinese Academy of Sciences","grant":"XXH13506","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9169,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T12:07:19.127Z","updated_at":"2022-04-11T12:07:19.142Z","grant_id":1695,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KFZD-SW-219","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9171,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T12:07:19.276Z","updated_at":"2022-04-11T12:07:19.291Z","grant_id":1274,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA19050301","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9199,"fairsharing_record_id":2939,"organisation_id":2053,"relation":"funds","created_at":"2022-04-11T12:07:21.437Z","updated_at":"2022-04-11T12:07:21.450Z","grant_id":1536,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"31701157","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9273,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:26.986Z","updated_at":"2022-04-11T12:07:27.001Z","grant_id":614,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2017YFD0400302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9274,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.061Z","updated_at":"2022-04-11T12:07:27.073Z","grant_id":1607,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2017YFC1201202","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9276,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.197Z","updated_at":"2022-04-11T12:07:27.205Z","grant_id":100,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2016YFC1200801","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9278,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.290Z","updated_at":"2022-04-11T12:07:27.299Z","grant_id":274,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2016YFC0901702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11843,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2024-06-26T12:25:49.691Z","updated_at":"2024-06-26T12:25:49.691Z","grant_id":978,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"153211KYSB20160029","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9279,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.360Z","updated_at":"2022-04-11T12:07:27.374Z","grant_id":953,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2016YFC1201303","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11844,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2024-06-26T12:25:49.749Z","updated_at":"2024-06-26T12:25:49.749Z","grant_id":1699,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"153211KYSB20150010","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2940","type":"fairsharing_records","attributes":{"created_at":"2020-04-13T13:10:18.000Z","updated_at":"2023-12-15T10:32:04.018Z","metadata":{"name":"European Data Portal","status":"ready","homepage":"https://www.europeandataportal.eu/en","identifier":2940,"description":"The European Data Portal harvests the metadata of Public Sector Information available on public data portals across European countries. Information regarding the provision of data and the benefits of re-using data is also included.","abbreviation":"EDP","data_curation":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/images/media/image3.jpeg","type":"manual/automated"},"support_links":[{"url":"https://www.linkedin.com/groups/8428984/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.facebook.com/EuropeanDataPortal","name":"Facebook","type":"Facebook"},{"url":"https://www.europeandataportal.eu/en/feedback/form","type":"Contact form"},{"url":"https://www.europeandataportal.eu/en/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.europeandataportal.eu/en/newsletter","name":"Newsletter","type":"Mailing list"},{"url":"https://www.youtube.com/channel/UCWRxmFRYBSQyUe6GFOOrxFA","name":"Webinar","type":"Video"},{"url":"https://www.europeandataportal.eu/en/about/documentation","type":"Help documentation"},{"url":"https://twitter.com/EU_DataPortal","type":"Twitter"}],"year_creation":2014,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012199","name":"re3data:r3d100012199","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/data-provider-interface/","type":"controlled","notes":"Data can be deposited by data providers of data originating from various EU bodies and technical staff involved in the maintenance and development of data.europa.eu."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001444","bsg-d001444"],"name":"FAIRsharing record for: European Data Portal","abbreviation":"EDP","url":"https://fairsharing.org/fairsharing_records/2940","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Data Portal harvests the metadata of Public Sector Information available on public data portals across European countries. Information regarding the provision of data and the benefits of re-using data is also included.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12355},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12902}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economic and Social History","Health Science","Humanities and Social Science","Virology","Subject Agnostic","Epidemiology"],"domains":[],"taxonomies":[],"user_defined_tags":["COVID-19"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":3794,"fairsharing_record_id":2940,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:26.659Z","updated_at":"2021-09-30T09:26:26.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3793,"fairsharing_record_id":2940,"organisation_id":2381,"relation":"maintains","created_at":"2021-09-30T09:26:26.622Z","updated_at":"2021-09-30T09:26:26.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":2381,"name":"Publications Office of the European Union","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2941","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T09:02:15.000Z","updated_at":"2024-05-09T09:28:43.738Z","metadata":{"doi":"10.25504/FAIRsharing.355cdf","name":"Facebook Data for Good","status":"ready","contacts":[{"contact_email":"press@fb.com"}],"homepage":"https://dataforgood.fb.com/","citations":[],"identifier":2941,"description":"Through our Data for Good partnerships, Facebook works with many of the world's leading humanitarian organizations to help them act more quickly and reach more people during natural disasters and disease outbreaks data for disaster response, health, connectivity, energy access, and economic growth.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2017,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013305","name":"re3data:r3d100013305","portal":"re3data"}],"data_access_condition":{"type":"controlled","notes":"Some data require an access request"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001445","bsg-d001445"],"name":"FAIRsharing record for: Facebook Data for Good","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.355cdf","doi":"10.25504/FAIRsharing.355cdf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Through our Data for Good partnerships, Facebook works with many of the world's leading humanitarian organizations to help them act more quickly and reach more people during natural disasters and disease outbreaks data for disaster response, health, connectivity, energy access, and economic growth.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12356},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12903}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Demographics","Social Science","Virology","Epidemiology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19","Dashboard"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3796,"fairsharing_record_id":2941,"organisation_id":1278,"relation":"maintains","created_at":"2021-09-30T09:26:26.739Z","updated_at":"2021-09-30T09:26:26.739Z","grant_id":null,"is_lead":false,"saved_state":{"id":1278,"name":"Humanitarian OpenStreetMap Team (HOT)","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3799,"fairsharing_record_id":2941,"organisation_id":1471,"relation":"maintains","created_at":"2021-09-30T09:26:26.820Z","updated_at":"2021-09-30T09:26:26.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":1471,"name":"Internal Displacement Monitoring Centre (IDMC)","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3802,"fairsharing_record_id":2941,"organisation_id":2131,"relation":"maintains","created_at":"2021-09-30T09:26:26.896Z","updated_at":"2021-09-30T09:26:26.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":2131,"name":"NetHope, Fairfax, VA, United States","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3795,"fairsharing_record_id":2941,"organisation_id":980,"relation":"maintains","created_at":"2021-09-30T09:26:26.702Z","updated_at":"2021-09-30T09:26:26.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":980,"name":"Facebook, Menlo Park, California, United State","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":3798,"fairsharing_record_id":2941,"organisation_id":493,"relation":"maintains","created_at":"2021-09-30T09:26:26.795Z","updated_at":"2021-09-30T09:26:26.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":493,"name":"Chapman University, Orange, CA, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3800,"fairsharing_record_id":2941,"organisation_id":1215,"relation":"maintains","created_at":"2021-09-30T09:26:26.845Z","updated_at":"2021-09-30T09:26:26.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":1215,"name":"Harvard T.H. Chan School of Public Health, Boston, MA, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3801,"fairsharing_record_id":2941,"organisation_id":765,"relation":"maintains","created_at":"2021-09-30T09:26:26.869Z","updated_at":"2021-09-30T09:26:26.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":765,"name":"Direct Relief, Santa Barbara, CA, United States","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3803,"fairsharing_record_id":2941,"organisation_id":1932,"relation":"maintains","created_at":"2021-09-30T09:26:26.920Z","updated_at":"2021-09-30T09:26:26.920Z","grant_id":null,"is_lead":false,"saved_state":{"id":1932,"name":"NAPSG Foundation, Washington, DC, United States","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2943","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T12:25:19.000Z","updated_at":"2023-03-15T07:59:33.544Z","metadata":{"doi":"10.25504/FAIRsharing.mKrBDb","name":"Rice Seed Nuclear Protein Database","status":"deprecated","contacts":[{"contact_name":"Akhilesh K Tyagi","contact_email":"akhilesh@genomeindia.org","contact_orcid":"0000-0001-9096-0711"}],"homepage":"http://pmb.du.ac.in/rsnpdb","citations":[],"identifier":2943,"description":"RSNP-DB is a database is a compilation of nuclear localization prediction confidence of the seed-expressed proteins in rice.","abbreviation":"RSNP-DB","data_curation":{"type":"not found"},"year_creation":2020,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001447","bsg-d001447"],"name":"FAIRsharing record for: Rice Seed Nuclear Protein Database","abbreviation":"RSNP-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.mKrBDb","doi":"10.25504/FAIRsharing.mKrBDb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RSNP-DB is a database is a compilation of nuclear localization prediction confidence of the seed-expressed proteins in rice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Protein localization","Cellular localization"],"taxonomies":["Oryza sativa"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":3806,"fairsharing_record_id":2943,"organisation_id":3048,"relation":"maintains","created_at":"2021-09-30T09:26:27.035Z","updated_at":"2021-09-30T09:26:27.035Z","grant_id":null,"is_lead":true,"saved_state":{"id":3048,"name":"University of Delhi, India","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2947","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T15:55:21.000Z","updated_at":"2024-04-29T10:52:15.698Z","metadata":{"doi":"10.25504/FAIRsharing.d7b57d","name":"data.europa.eu","status":"ready","contacts":[{"contact_name":"data.europa.eu Team","contact_email":"OP-DATA-EUROPA-EU@publications.europa.eu","contact_orcid":null}],"homepage":"https://data.europa.eu/en","citations":[],"identifier":2947,"description":"data.europa.eu (DEU), the official portal for European data, gives you access to open data published by EU institutions and bodies. All the data you can find via this catalogue are free to use and reuse for commercial or non-commercial purposes.","abbreviation":"DEU","data_curation":{"type":"none"},"support_links":[{"url":"https://twitter.com/ECDC_EU","type":"Twitter"},{"url":"https://data.europa.eu/en/contact-us","name":"General Contact","type":"Contact form"},{"url":"https://data.europa.eu/catalogue-statistics/CurrentState?locale=en","name":"Statistics","type":"Other"},{"url":"https://dataeuropa.gitlab.io/data-provider-manual/","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://data.europa.eu/euodp/en/apps","name":"List of applications developed by the European Institutions, agencies and other bodies (identified by the EU flag) as well as third parties"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011728","name":"re3data:r3d100011728","portal":"re3data"}],"data_access_condition":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/#better-access-enhanced-transparency-and-use","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/","type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001451","bsg-d001451"],"name":"FAIRsharing record for: data.europa.eu","abbreviation":"DEU","url":"https://fairsharing.org/10.25504/FAIRsharing.d7b57d","doi":"10.25504/FAIRsharing.d7b57d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: data.europa.eu (DEU), the official portal for European data, gives you access to open data published by EU institutions and bodies. All the data you can find via this catalogue are free to use and reuse for commercial or non-commercial purposes.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12358},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12908}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3190,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3189,"relation":"applies_to_content"}],"grants":[{"id":3814,"fairsharing_record_id":2947,"organisation_id":915,"relation":"maintains","created_at":"2021-09-30T09:26:27.363Z","updated_at":"2021-09-30T09:26:27.363Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2949","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T08:37:18.000Z","updated_at":"2023-12-15T10:28:44.301Z","metadata":{"doi":"10.25504/FAIRsharing.pFZBRP","name":"EMODnet Bathymetry","status":"ready","contacts":[],"homepage":"https://www.emodnet-bathymetry.eu/","citations":[],"identifier":2949,"description":"EMODnet Bathymetry provides a service for viewing and downloading a harmonised Digital Terrain Model (DTM) for the European sea regions that is generated by the EMODnet Bathymetry partnership on the basis of an increasing number of bathymetric data sets. These are managed as survey data sets and composite DTMs by data providers from government and research. Services for discovery and requesting access to these data sets are provided as well.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.emodnet-bathymetry.eu/news","name":"News","type":"Blog/News"},{"url":"https://www.emodnet-bathymetry.eu/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://www.emodnet-bathymetry.eu/helpdesk","name":"Helpdesk","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/metadata-data","name":"Metadata \u0026 Data","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/data-products","name":"Data Products","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/approach","name":"Approach","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/promotion","name":"Promotional Material","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/partners","name":"Bathymetry Partners","type":"Help documentation"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"url":"https://emodnet.ec.europa.eu/en/faq-about-downloading-emodnet-data#datacatalogue","type":"open","notes":"It is freely accessible, interoperable and reliable"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.emodnet-bathymetry.eu/data-products/how-can-i-contribute","type":"open","notes":"Share your data and contribute"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001453","bsg-d001453"],"name":"FAIRsharing record for: EMODnet Bathymetry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pFZBRP","doi":"10.25504/FAIRsharing.pFZBRP","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EMODnet Bathymetry provides a service for viewing and downloading a harmonised Digital Terrain Model (DTM) for the European sea regions that is generated by the EMODnet Bathymetry partnership on the basis of an increasing number of bathymetric data sets. These are managed as survey data sets and composite DTMs by data providers from government and research. Services for discovery and requesting access to these data sets are provided as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Geography","Earth Science","Oceanography","Physical Geography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["European Union"],"publications":[{"id":2616,"pubmed_id":null,"title":"EMODnet Bathymetry Consortium (2018): EMODnet Digital Bathymetry (DTM)","year":2018,"url":"http://doi.org/10.12770/18ff0d48-b203-4a65-94a9-5fd8b0ec35f6","authors":"EMODnet Bathymetry Consortium","journal":"EMODnet Bathymetry Consortium","doi":"10.12770/18ff0d48-b203-4a65-94a9-5fd8b0ec35f6","created_at":"2021-09-30T08:27:21.146Z","updated_at":"2021-09-30T08:27:21.146Z"},{"id":2859,"pubmed_id":null,"title":"EMODnet Bathymetry Consortium (2016): EMODnet Digital Bathymetry (DTM).","year":2016,"url":"http://doi.org/10.12770/c7b53704-999d-4721-b1a3-04ec60c87238","authors":"EMODnet Bathymetry Consortium","journal":"EMODnet Bathymetry Consortium","doi":"10.12770/c7b53704-999d-4721-b1a3-04ec60c87238","created_at":"2021-09-30T08:27:51.731Z","updated_at":"2021-09-30T08:27:51.731Z"}],"licence_links":[{"licence_name":"SeaDataNet Data Policy","licence_id":742,"licence_url":"https://www.emodnet-bathymetry.eu/metadata-amp-data/user-registration","link_id":683,"relation":"undefined"}],"grants":[{"id":3819,"fairsharing_record_id":2949,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:27.496Z","updated_at":"2021-09-30T09:26:27.496Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3818,"fairsharing_record_id":2949,"organisation_id":1757,"relation":"maintains","created_at":"2021-09-30T09:26:27.470Z","updated_at":"2021-09-30T09:26:27.470Z","grant_id":null,"is_lead":true,"saved_state":{"id":1757,"name":"Marine and Ocean Data Management (MARIS), Voorburg, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":3820,"fairsharing_record_id":2949,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:27.520Z","updated_at":"2021-09-30T09:26:27.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2950","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T08:59:24.000Z","updated_at":"2023-12-15T10:32:27.904Z","metadata":{"doi":"10.25504/FAIRsharing.7ceb60","name":"European Centre for Disease Prevention and Control","status":"ready","contacts":[{"contact_name":"Andrea Ammon","contact_email":"Andrea.Ammon@ecdc.eu.int"}],"homepage":"https://www.ecdc.europa.eu/en","citations":[],"identifier":2950,"description":"ECDC's main role as an agency of the European Union is to strengthen Europe’s defences against communicable diseases, worked together with all EU/EEA countries in response to public health threats and emerging diseases. Part of the ECDC mission is to provide search for, collect, collate, evaluate and disseminate relevant scientific and technical data.","abbreviation":"ECDC","data_curation":{"type":"none"},"support_links":[{"url":"https://www.linkedin.com/company/ecdc/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.ecdc.europa.eu/en/news-events","name":"News \u0026 events","type":"Blog/News"},{"url":"https://www.facebook.com/ECDC.EU","name":"Facebook","type":"Facebook"},{"url":"info@ecdc.europa.eu","name":"General enquiries","type":"Support email"},{"url":"https://www.youtube.com/user/ECDCchannel","name":"Youtube","type":"Video"},{"url":"https://vimeo.com/ecdcvideos","name":"Vimeo","type":"Help documentation"},{"url":"https://www.slideshare.net/ecdc_eu","name":"Slideshare","type":"Help documentation"},{"url":"https://eva.ecdc.europa.eu/","name":"ECDC Virtual Academy (EVA), an online training platform","type":"Training documentation"},{"url":"https://twitter.com/ECDC_EU","type":"Twitter"}],"year_creation":2016,"data_versioning":"not found","associated_tools":[{"url":"http://atlas.ecdc.europa.eu/public/index.aspx","name":"Surveillance Atlas for infectious diseases"},{"url":"https://www.ecdc.europa.eu/en/publications-data/west-nile-virus-risk-assessment-tool-0","name":"West Nile virus risk assessment tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013304","name":"re3data:r3d100013304","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001454","bsg-d001454"],"name":"FAIRsharing record for: European Centre for Disease Prevention and Control","abbreviation":"ECDC","url":"https://fairsharing.org/10.25504/FAIRsharing.7ceb60","doi":"10.25504/FAIRsharing.7ceb60","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ECDC's main role as an agency of the European Union is to strengthen Europe’s defences against communicable diseases, worked together with all EU/EEA countries in response to public health threats and emerging diseases. Part of the ECDC mission is to provide search for, collect, collate, evaluate and disseminate relevant scientific and technical data.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12359},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12909}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Humanities and Social Science","Virology","Epidemiology"],"domains":["Disease"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"European Centre for Disease Prevention and Control Legal Notice","licence_id":300,"licence_url":"https://www.ecdc.europa.eu/en/legal-notice","link_id":674,"relation":"undefined"}],"grants":[{"id":3821,"fairsharing_record_id":2950,"organisation_id":960,"relation":"maintains","created_at":"2021-09-30T09:26:27.546Z","updated_at":"2021-09-30T09:26:27.546Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2951","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T13:30:38.000Z","updated_at":"2023-12-15T10:31:02.374Z","metadata":{"doi":"10.25504/FAIRsharing.Ry4stC","name":"EMODnet Geology","status":"ready","contacts":[{"contact_name":"Henry Vallius, Geological Survey of Finland","contact_email":"henry.vallius@gtk.fi"}],"homepage":"https://www.emodnet-geology.eu/","citations":[],"identifier":2951,"description":"The EMODnet geology portal provides free access to (i) geological data and metadata held by various geoscience organisations in Europe, delivered in accordance with international standards, and (ii) geological data products compiled at scales of 1:1,000,000, 1:250,000 and 1:100,000 or finer where the underlying data permit.","abbreviation":"EMODnet Geology","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.emodnet-geology.eu/support-feedback/","name":"Support \u0026 feedback","type":"Contact form"},{"url":"https://www.emodnet-geology.eu/about-emodnet-geology/","name":"About","type":"Help documentation"},{"url":"https://www.emodnet-geology.eu/data-products/","name":"Data Products","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://emodnet.ec.europa.eu/en/contribute-data-emodnet","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001455","bsg-d001455"],"name":"FAIRsharing record for: EMODnet Geology","abbreviation":"EMODnet Geology","url":"https://fairsharing.org/10.25504/FAIRsharing.Ry4stC","doi":"10.25504/FAIRsharing.Ry4stC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EMODnet geology portal provides free access to (i) geological data and metadata held by various geoscience organisations in Europe, delivered in accordance with international standards, and (ii) geological data products compiled at scales of 1:1,000,000, 1:250,000 and 1:100,000 or finer where the underlying data permit.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Geography","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Geological mapping"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"EMODnet Geology Terms of Use","licence_id":275,"licence_url":"https://www.emodnet-geology.eu/terms-of-use/","link_id":1051,"relation":"undefined"}],"grants":[{"id":3824,"fairsharing_record_id":2951,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:27.620Z","updated_at":"2021-09-30T09:26:27.620Z","grant_id":null,"is_lead":false,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3822,"fairsharing_record_id":2951,"organisation_id":1122,"relation":"maintains","created_at":"2021-09-30T09:26:27.570Z","updated_at":"2021-09-30T09:26:27.570Z","grant_id":null,"is_lead":true,"saved_state":{"id":1122,"name":"Geological Survey of Finland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3823,"fairsharing_record_id":2951,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:27.596Z","updated_at":"2021-09-30T09:26:27.596Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2952","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T13:51:23.000Z","updated_at":"2023-12-15T10:30:20.134Z","metadata":{"doi":"10.25504/FAIRsharing.XrXzcm","name":"EMODnet Physics","status":"ready","contacts":[],"homepage":"https://www.emodnet-physics.eu/Portal/","citations":[],"identifier":2952,"description":"EMODnet-Physics map portal (www.emodnet-physics.eu/map) provides a single point of access to validated in situ datasets, products and their physical parameter metadata of European Seas and global oceans.","abbreviation":"EMODnet Physics","data_curation":{"type":"not found"},"support_links":[{"url":"contacts@emodnet-physics.eu","name":"Helpdesk","type":"Support email"},{"url":"https://www.emodnet-physics.eu/portal/user-s-guide","name":"User Guide","type":"Help documentation"},{"url":"https://www.emodnet-physics.eu/portal/background","name":"About","type":"Help documentation"},{"url":"https://github.com/EMODnet-Physics/EMODnet-Physics-Documentation","name":"Github Repository","type":"Github"},{"url":"https://www.emodnet-physics.eu/portal/Videos-Physics","name":"Videos","type":"Help documentation"},{"url":"https://www.emodnet-physics.eu/portal/documents-and-services","name":"Documents and Services","type":"Help documentation"},{"url":"https://www.emodnet-physics.eu/portal/bibliography","name":"QA/QC Protocols","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://geoserver.emodnet-physics.eu/geoserver/web/","name":"GeoServer 2.16.2"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://emodnet.ec.europa.eu/en/contribute-data-emodnet","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001456","bsg-d001456"],"name":"FAIRsharing record for: EMODnet Physics","abbreviation":"EMODnet Physics","url":"https://fairsharing.org/10.25504/FAIRsharing.XrXzcm","doi":"10.25504/FAIRsharing.XrXzcm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EMODnet-Physics map portal (www.emodnet-physics.eu/map) provides a single point of access to validated in situ datasets, products and their physical parameter metadata of European Seas and global oceans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geophysics","Oceanography","Physical Geography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["European Union"],"publications":[{"id":2873,"pubmed_id":null,"title":"European Marine Observation and DataNetwork (EMODNET)– physical parameters: A support to marine science and operational oceanography","year":2013,"url":"https://ui.adsabs.harvard.edu/abs/2013EGUGA..15.3126D/abstract","authors":"Hans Dahlin, Tobias Gies, Marco Giordano, Patrick Gorringe, Giuseppe Manzella, Gilbert Maudire, Antonio Novellino, Maureen Pagnani, Sian Petersson, Sylvie Pouliquen, Lesley Rickards, Dick Schaap, Peter Tijsse, and Serge van der Horste","journal":"EGU General Assembly 2013","doi":null,"created_at":"2021-09-30T08:27:53.687Z","updated_at":"2021-09-30T11:28:38.928Z"},{"id":2874,"pubmed_id":null,"title":"Knowledge base for growth and innovation in ocean economy: assembly and dissemination of marine data for seabed mapping – European Marine Observation Data Network - EMODnet Physics","year":2014,"url":"https://webgate.ec.europa.eu/maritimeforum/system/files/6.%20Physics.pdf","authors":"Antonio Novellino, Patrick Gorringe, Dick Schaap, Sylvie Pouliquen, Lesley Rickards, and Giuseppe Manzella","journal":"EGU General Assembly 2013","doi":null,"created_at":"2021-09-30T08:27:53.795Z","updated_at":"2021-09-30T11:28:38.617Z"}],"licence_links":[{"licence_name":"EMODnet Physics Terms of Use","licence_id":276,"licence_url":"https://www.emodnet-physics.eu/portal/Helpdesk/How-to-acknowledge","link_id":267,"relation":"undefined"}],"grants":[{"id":3825,"fairsharing_record_id":2952,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:27.646Z","updated_at":"2021-09-30T09:26:27.646Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3826,"fairsharing_record_id":2952,"organisation_id":884,"relation":"maintains","created_at":"2021-09-30T09:26:27.670Z","updated_at":"2021-09-30T09:26:27.670Z","grant_id":null,"is_lead":true,"saved_state":{"id":884,"name":"ETT Solutions","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3827,"fairsharing_record_id":2952,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:27.696Z","updated_at":"2021-09-30T09:26:27.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2956","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T13:28:34.000Z","updated_at":"2023-12-15T10:32:23.641Z","metadata":{"doi":"10.25504/FAIRsharing.37b795","name":"COVID-19 Drug Interactions","status":"ready","contacts":[{"contact_name":"David MacEwan","contact_email":"D.Macewan@liverpool.ac.uk","contact_orcid":"0000-0002-2879-0935"}],"homepage":"https://www.covid19-druginteractions.org/","identifier":2956,"description":"The Liverpool Drug Interaction Group (based at the University of Liverpool, UK), in collaboration with the University Hospital of Basel (Switzerland) and Radboud UMC (Netherlands), have produced various materials in PDF format to aid the use of experimental agents in the treatment of COVID-19.","abbreviation":null,"data_curation":{"url":"https://www.covid19-druginteractions.org/about","type":"manual"},"year_creation":2020,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013299","name":"re3data:r3d100013299","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001460","bsg-d001460"],"name":"FAIRsharing record for: COVID-19 Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.37b795","doi":"10.25504/FAIRsharing.37b795","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Liverpool Drug Interaction Group (based at the University of Liverpool, UK), in collaboration with the University Hospital of Basel (Switzerland) and Radboud UMC (Netherlands), have produced various materials in PDF format to aid the use of experimental agents in the treatment of COVID-19.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12360},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12911}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Virology","Biomedical Science","Epidemiology"],"domains":["Drug interaction"],"taxonomies":["Coronaviridae","Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"HIV Drug Interactions Terms and Conditions","licence_id":394,"licence_url":"https://www.hiv-druginteractions.org/terms","link_id":66,"relation":"undefined"},{"licence_name":"HIV Privacy Notice","licence_id":396,"licence_url":"https://www.hiv-druginteractions.org/privacy","link_id":65,"relation":"undefined"}],"grants":[{"id":3847,"fairsharing_record_id":2956,"organisation_id":14,"relation":"funds","created_at":"2021-09-30T09:26:28.204Z","updated_at":"2021-09-30T09:26:28.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":14,"name":"Abbvie, North Chicago, Illinois, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3850,"fairsharing_record_id":2956,"organisation_id":476,"relation":"funds","created_at":"2021-09-30T09:26:28.343Z","updated_at":"2021-09-30T09:26:28.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":476,"name":"Centre of Excellence in Infectious Diseases Research (CEIDR)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3853,"fairsharing_record_id":2956,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:28.448Z","updated_at":"2021-09-30T09:26:28.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3856,"fairsharing_record_id":2956,"organisation_id":2194,"relation":"funds","created_at":"2021-09-30T09:26:28.574Z","updated_at":"2021-09-30T09:26:28.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":2194,"name":"Novartis","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3859,"fairsharing_record_id":2956,"organisation_id":2583,"relation":"funds","created_at":"2021-09-30T09:26:28.672Z","updated_at":"2021-09-30T09:26:28.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":2583,"name":"Sobi, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3848,"fairsharing_record_id":2956,"organisation_id":317,"relation":"funds","created_at":"2021-09-30T09:26:28.230Z","updated_at":"2021-09-30T09:26:28.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":317,"name":"British HIV Association (BHIVA), Hertfordshire, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3849,"fairsharing_record_id":2956,"organisation_id":906,"relation":"funds","created_at":"2021-09-30T09:26:28.297Z","updated_at":"2021-09-30T09:26:28.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":906,"name":"European AIDS Clinical Society (EACS), Brussels, Belgium","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3851,"fairsharing_record_id":2956,"organisation_id":2399,"relation":"funds","created_at":"2021-09-30T09:26:28.382Z","updated_at":"2021-09-30T09:26:28.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":2399,"name":"Radboud University Medical Center, Nijmegen, The Netherlands","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3852,"fairsharing_record_id":2956,"organisation_id":2902,"relation":"funds","created_at":"2021-09-30T09:26:28.414Z","updated_at":"2021-09-30T09:26:28.414Z","grant_id":null,"is_lead":false,"saved_state":{"id":2902,"name":"UK Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3854,"fairsharing_record_id":2956,"organisation_id":1907,"relation":"funds","created_at":"2021-09-30T09:26:28.486Z","updated_at":"2021-09-30T09:26:28.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":1907,"name":"MSD, Hoddesdon, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3855,"fairsharing_record_id":2956,"organisation_id":1199,"relation":"funds","created_at":"2021-09-30T09:26:28.536Z","updated_at":"2021-09-30T09:26:28.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":1199,"name":"Graphics and Vision Research Group, University of Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":3857,"fairsharing_record_id":2956,"organisation_id":2003,"relation":"maintains","created_at":"2021-09-30T09:26:28.606Z","updated_at":"2021-09-30T09:26:28.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9098,"fairsharing_record_id":2956,"organisation_id":1420,"relation":"maintains","created_at":"2022-04-07T14:04:52.076Z","updated_at":"2022-04-07T14:04:52.076Z","grant_id":null,"is_lead":false,"saved_state":{"id":1420,"name":"Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2957","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T20:47:17.000Z","updated_at":"2023-12-15T10:29:11.326Z","metadata":{"doi":"10.25504/FAIRsharing.41b0ad","name":"Atlas of Cancer Signalling Network","status":"ready","contacts":[{"contact_email":"acsn@curie.fr"}],"homepage":"https://acsn.curie.fr/ACSN2/ACSN2.html","citations":[{"doi":"10.1038/oncsis.2015.19","pubmed_id":26192618,"publication_id":2891}],"identifier":2957,"description":"ACSN is a web-based multi-scale resource of biological maps depicting molecular processes in cancer cell and tumor microenvironment. The Atlas represents interconnected cancer-related signalling and metabolic network maps. Molecular mechanisms are depicted on the maps at the level of biochemical interactions, forming a large seamless network. The Atlas is a \"geographic-like\" interactive \"world map\" of molecular interactions leading the hallmarks of cancer as described by Hanahan and Weinberg.","abbreviation":"ACSN","data_curation":{"url":"https://acsn.curie.fr/ACSN2/features.html","type":"manual","notes":"The maps are manually created based on the information extracted from scientific literature"},"support_links":[{"url":"https://acsn.curie.fr/ACSN2/FAQ.html","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://acsn.curie.fr/ACSN2/guides.html","name":"Online Guides","type":"Help documentation"},{"url":"https://twitter.com/acsn_curie","name":"@acsn_curie","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","associated_tools":[{"url":"https://navicell.curie.fr/","name":"NaviCell"},{"url":"https://navicom.curie.fr/bridge.php","name":"NaviCom"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001461","bsg-d001461"],"name":"FAIRsharing record for: Atlas of Cancer Signalling Network","abbreviation":"ACSN","url":"https://fairsharing.org/10.25504/FAIRsharing.41b0ad","doi":"10.25504/FAIRsharing.41b0ad","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ACSN is a web-based multi-scale resource of biological maps depicting molecular processes in cancer cell and tumor microenvironment. The Atlas represents interconnected cancer-related signalling and metabolic network maps. Molecular mechanisms are depicted on the maps at the level of biochemical interactions, forming a large seamless network. The Atlas is a \"geographic-like\" interactive \"world map\" of molecular interactions leading the hallmarks of cancer as described by Hanahan and Weinberg.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12264}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Medicine","Medicines Research and Development","Cell Biology","Biomedical Science"],"domains":["Cancer","Cellular assay","Cell morphology","Cell cycle","Signaling","Tumor"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2891,"pubmed_id":26192618,"title":"Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps.","year":2015,"url":"http://doi.org/10.1038/oncsis.2015.19","authors":"Kuperstein I,Bonnet E,Nguyen HA,Cohen D,Viara E,Grieco L,Fourquet S,Calzone L,Russo C,Kondratova M,Dutreix M,Barillot E,Zinovyev A","journal":"Oncogenesis","doi":"10.1038/oncsis.2015.19","created_at":"2021-09-30T08:27:55.982Z","updated_at":"2021-09-30T08:27:55.982Z"}],"licence_links":[],"grants":[{"id":3861,"fairsharing_record_id":2957,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:26:28.740Z","updated_at":"2021-09-30T09:26:28.740Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3860,"fairsharing_record_id":2957,"organisation_id":1363,"relation":"maintains","created_at":"2021-09-30T09:26:28.709Z","updated_at":"2021-09-30T09:26:28.709Z","grant_id":null,"is_lead":false,"saved_state":{"id":1363,"name":"Institut Curie, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2958","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T07:59:50.000Z","updated_at":"2023-06-23T10:54:48.292Z","metadata":{"doi":"10.25504/FAIRsharing.8c937c","name":"HIV Drug Interactions","status":"ready","contacts":[{"contact_name":"David Back","contact_email":"D.J.Back@liverpool.ac.uk","contact_orcid":"0000-0002-7381-4799"}],"homepage":"https://www.hiv-druginteractions.org/","identifier":2958,"description":"Around 37 million individuals are living worldwide with HIV and although advances in therapy have yielded effective regimens, individual antiretroviral drugs are amongst the most therapeutically risky for drug-drug interactions (DDI) presenting significant risks to patients and a challenge for health care providers to ensure safe and appropriate prescribing. In order to address this, the Liverpool Drug Interactions website was established in 1999 by members of the Department of Pharmacology at the University of Liverpool to provide a freely available drug-drug interaction resource.","abbreviation":null,"data_curation":{"url":"https://www.hiv-druginteractions.org/mission","type":"manual"},"support_links":[{"url":"https://www.hiv-druginteractions.org/site_updates","name":"News","type":"Blog/News"},{"url":"https://www.hiv-druginteractions.org/feedback","name":"Feedback","type":"Contact form"},{"url":"https://www.hiv-druginteractions.org/prescribing-resources","name":"Printable materials in PDF format to aid prescribing","type":"Help documentation"},{"url":"https://www.hiv-druginteractions.org/videos","name":"Series of mini-lectures on pharmacology and HIV","type":"Help documentation"},{"url":"https://twitter.com/hivinteractions","type":"Twitter"}],"year_creation":1999,"data_versioning":"no","associated_tools":[{"url":"https://apps.apple.com/gb/app/liverpool-hiv-ichart/id979962744","name":"Liverpool HIV iChart (AppStore)"},{"url":"https://play.google.com/store/apps/details?id=com.liverpooluni.icharthiv\u0026hl=en_GB","name":"Liverpool HIV iChart (Google Play)"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.hiv-druginteractions.org/suggestions","type":"controlled","notes":"Only data deposition suggestion is possible."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001462","bsg-d001462"],"name":"FAIRsharing record for: HIV Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8c937c","doi":"10.25504/FAIRsharing.8c937c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Around 37 million individuals are living worldwide with HIV and although advances in therapy have yielded effective regimens, individual antiretroviral drugs are amongst the most therapeutically risky for drug-drug interactions (DDI) presenting significant risks to patients and a challenge for health care providers to ensure safe and appropriate prescribing. In order to address this, the Liverpool Drug Interactions website was established in 1999 by members of the Department of Pharmacology at the University of Liverpool to provide a freely available drug-drug interaction resource.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12912}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Virology","Biomedical Science","Epidemiology"],"domains":["Drug interaction","Disease"],"taxonomies":["Homo sapiens","Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2896,"pubmed_id":27235838,"title":"HIV drug interaction resources from the University of Liverpool.","year":2016,"url":"http://doi.org/10.1016/j.tmaid.2016.05.013","authors":"Chiodini J","journal":"Travel Med Infect Dis","doi":"10.1016/j.tmaid.2016.05.013","created_at":"2021-09-30T08:27:56.583Z","updated_at":"2021-09-30T08:27:56.583Z"}],"licence_links":[{"licence_name":"HIV Drug Interactions Terms and Conditions","licence_id":394,"licence_url":"https://www.hiv-druginteractions.org/terms","link_id":930,"relation":"undefined"}],"grants":[{"id":3865,"fairsharing_record_id":2958,"organisation_id":1585,"relation":"funds","created_at":"2021-09-30T09:26:28.856Z","updated_at":"2021-09-30T09:26:28.856Z","grant_id":null,"is_lead":false,"saved_state":{"id":1585,"name":"Janssen EMEA, Beerse, Belgium","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3867,"fairsharing_record_id":2958,"organisation_id":1907,"relation":"funds","created_at":"2021-09-30T09:26:28.911Z","updated_at":"2021-09-30T09:26:28.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":1907,"name":"MSD, Hoddesdon, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3870,"fairsharing_record_id":2958,"organisation_id":1253,"relation":"funds","created_at":"2021-09-30T09:26:29.020Z","updated_at":"2021-09-30T09:26:29.020Z","grant_id":null,"is_lead":false,"saved_state":{"id":1253,"name":"HIV Glasgow, Glasgow, Scotland","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":3866,"fairsharing_record_id":2958,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:28.880Z","updated_at":"2021-09-30T09:26:28.880Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3868,"fairsharing_record_id":2958,"organisation_id":3185,"relation":"funds","created_at":"2021-09-30T09:26:28.949Z","updated_at":"2021-09-30T09:26:28.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":3185,"name":"ViiV Healthcare, Brentford, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3862,"fairsharing_record_id":2958,"organisation_id":317,"relation":"funds","created_at":"2021-09-30T09:26:28.768Z","updated_at":"2021-09-30T09:26:28.768Z","grant_id":null,"is_lead":false,"saved_state":{"id":317,"name":"British HIV Association (BHIVA), Hertfordshire, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3863,"fairsharing_record_id":2958,"organisation_id":906,"relation":"funds","created_at":"2021-09-30T09:26:28.798Z","updated_at":"2021-09-30T09:26:28.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":906,"name":"European AIDS Clinical Society (EACS), Brussels, Belgium","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3864,"fairsharing_record_id":2958,"organisation_id":1199,"relation":"funds","created_at":"2021-09-30T09:26:28.827Z","updated_at":"2021-09-30T09:26:28.827Z","grant_id":null,"is_lead":false,"saved_state":{"id":1199,"name":"Graphics and Vision Research Group, University of Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":3869,"fairsharing_record_id":2958,"organisation_id":1066,"relation":"funds","created_at":"2021-09-30T09:26:28.982Z","updated_at":"2021-09-30T09:26:28.982Z","grant_id":null,"is_lead":false,"saved_state":{"id":1066,"name":"Frontier Biotechnologies, Nanjing, China","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3871,"fairsharing_record_id":2958,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:26:29.058Z","updated_at":"2021-09-30T09:26:29.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2945","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T14:28:01.000Z","updated_at":"2023-06-23T15:46:11.665Z","metadata":{"doi":"10.25504/FAIRsharing.41737c","name":"Stanford HIV Drug Resistance Database","status":"ready","contacts":[{"contact_name":"Robert W. Shafer","contact_email":"rshafer@stanford.edu"}],"homepage":"https://hivdb.stanford.edu/","identifier":2945,"description":"The Stanford HIV Drug Resistance Database (HIVDB) is an essential resource for public health officials monitoring ADR and TDR, for scientists developing new ARV drugs, and for HIV care providers managing patients with HIVDR.","abbreviation":"HIVDB","data_curation":{"type":"automated","notes":"HIVDB is a curated public database."},"support_links":[{"url":"hivdbteam@stanford.edu","name":"General contact","type":"Support email"},{"url":"https://hivdb.stanford.edu/pages/FAQ/FAQ.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://hivdb.stanford.edu/cgi-bin/Summary.cgi","name":"Database statistics","type":"Help documentation"}],"year_creation":1998,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://hivdb.stanford.edu/pages/FAQ/FAQ.html","type":"controlled","notes":"Submission of data published in a peer-review journal and submitted to GenBank is recomended."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001449","bsg-d001449"],"name":"FAIRsharing record for: Stanford HIV Drug Resistance Database","abbreviation":"HIVDB","url":"https://fairsharing.org/10.25504/FAIRsharing.41737c","doi":"10.25504/FAIRsharing.41737c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Stanford HIV Drug Resistance Database (HIVDB) is an essential resource for public health officials monitoring ADR and TDR, for scientists developing new ARV drugs, and for HIV care providers managing patients with HIVDR.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12906}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Drug Development","Virology","Life Science","Epidemiology"],"domains":["Phenotype","Treatment"],"taxonomies":["Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2839,"pubmed_id":12520007,"title":"Human immunodeficiency virus reverse transcriptase and protease sequence database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg100","authors":"Rhee SY,Gonzales MJ,Kantor R,Betts BJ,Ravela J,Shafer RW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg100","created_at":"2021-09-30T08:27:49.252Z","updated_at":"2021-09-30T11:29:47.046Z"},{"id":2840,"pubmed_id":16921473,"title":"Rationale and uses of a public HIV drug-resistance database.","year":2006,"url":"http://doi.org/10.1086/505356","authors":"Shafer RW","journal":"J Infect Dis","doi":"10.1086/505356","created_at":"2021-09-30T08:27:49.372Z","updated_at":"2021-09-30T08:27:49.372Z"}],"licence_links":[{"licence_name":"HIV Drug Resistance Database Terms of Use","licence_id":395,"licence_url":"https://hivdb.stanford.edu/pages/FAQ/FAQ.html","link_id":919,"relation":"undefined"}],"grants":[{"id":3811,"fairsharing_record_id":2945,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:26:27.264Z","updated_at":"2021-09-30T09:26:27.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2946","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T15:52:00.000Z","updated_at":"2023-06-22T16:45:57.507Z","metadata":{"doi":"10.25504/FAIRsharing.mihb12","name":"Kinase-Ligand Interaction Fingerprints and Structures database","status":"ready","contacts":[{"contact_name":"Albert J. Kooistra","contact_email":"info@klifs.net","contact_orcid":"0000-0001-5514-6021"}],"homepage":"https://klifs.net","citations":[{"doi":"gkaa895","pubmed_id":33084889,"publication_id":3071}],"identifier":2946,"description":"Kinase-Ligand Interaction Fingerprints and Structures database (KLIFS) is a database that revolves around the protein structure of catalytic kinase domains and the way kinase inhibitors can interact with them. Based on the underlying systematic and consistent protocol all (currently human and mouse) kinase structures and the binding mode of kinase ligands can be directly compared to each other. Moreover, because of the classification of an all-encompassing binding site of 85 residues it is possible to compare the interaction patterns of kinase-inhibitors to each other to, for example, identify crucial interactions determining kinase-inhibitor selectivity.","abbreviation":"KLIFS","data_curation":{"url":"https://doi.org/10.1093/nar/gkaa895","type":"manual/automated"},"support_links":[{"url":"https://klifs.net/news.php","name":"News","type":"Blog/News"},{"url":"https://klifs.net/faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://klifs.net/stats.php","name":"Statistics","type":"Help documentation"},{"url":"https://klifs.net/tutorial.php","name":"Tutorial","type":"Training documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"https://www.knime.com/3d-e-chem-nodes-for-knime","name":"KLIFS nodes for KNIME 1.4.2"}],"data_access_condition":{"url":"https://klifs.net/faq.php","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001450","bsg-d001450"],"name":"FAIRsharing record for: Kinase-Ligand Interaction Fingerprints and Structures database","abbreviation":"KLIFS","url":"https://fairsharing.org/10.25504/FAIRsharing.mihb12","doi":"10.25504/FAIRsharing.mihb12","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Kinase-Ligand Interaction Fingerprints and Structures database (KLIFS) is a database that revolves around the protein structure of catalytic kinase domains and the way kinase inhibitors can interact with them. Based on the underlying systematic and consistent protocol all (currently human and mouse) kinase structures and the binding mode of kinase ligands can be directly compared to each other. Moreover, because of the classification of an all-encompassing binding site of 85 residues it is possible to compare the interaction patterns of kinase-inhibitors to each other to, for example, identify crucial interactions determining kinase-inhibitor selectivity.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12907}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cheminformatics","Pharmacology","Life Science","Pharmacogenomics"],"domains":["Protein structure","Structure alignment (pair)","Structure-based sequence alignment","Multiple sequence alignment","Protein interaction","Ligand","Bioactivity","Binding","Molecular interaction","Protein"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Chemogenomics","Interaction fingerprints","Interaction similarity","Kinases","Ligand similarity"],"countries":["Denmark","Netherlands"],"publications":[{"id":2855,"pubmed_id":26496949,"title":"KLIFS: a structural kinase-ligand interaction database.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1082","authors":"Kooistra AJ,Kanev GK,van Linden OP,Leurs R,de Esch IJ,de Graaf C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1082","created_at":"2021-09-30T08:27:51.188Z","updated_at":"2021-09-30T11:29:47.504Z"},{"id":2856,"pubmed_id":23941661,"title":"KLIFS: a knowledge-based structural database to navigate kinase-ligand interaction space.","year":2013,"url":"http://doi.org/10.1021/jm400378w","authors":"van Linden OP,Kooistra AJ,Leurs R,de Esch IJ,de Graaf C","journal":"J Med Chem","doi":"10.1021/jm400378w","created_at":"2021-09-30T08:27:51.297Z","updated_at":"2021-09-30T08:27:51.297Z"},{"id":2857,"pubmed_id":31677919,"title":"The Landscape of Atypical and Eukaryotic Protein Kinases.","year":2019,"url":"http://doi.org/S0165-6147(19)30213-5","authors":"Kanev GK,de Graaf C,de Esch IJP,Leurs R,Wurdinger T,Westerman BA,Kooistra AJ","journal":"Trends Pharmacol Sci","doi":"S0165-6147(19)30213-5","created_at":"2021-09-30T08:27:51.457Z","updated_at":"2021-09-30T08:27:51.457Z"},{"id":3071,"pubmed_id":33084889,"title":"KLIFS: an overhaul after the first 5 years of supporting kinase research.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa895","authors":"Kanev GK,de Graaf C,Westerman BA,de Esch IJP,Kooistra AJ","journal":"Nucleic Acids Research","doi":"gkaa895","created_at":"2021-09-30T08:28:18.431Z","updated_at":"2021-09-30T11:29:50.820Z"}],"licence_links":[],"grants":[{"id":3813,"fairsharing_record_id":2946,"organisation_id":702,"relation":"maintains","created_at":"2021-09-30T09:26:27.330Z","updated_at":"2021-09-30T09:26:27.330Z","grant_id":null,"is_lead":true,"saved_state":{"id":702,"name":"Department of Drug Design and Pharmacology, University of Copenhagen","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3812,"fairsharing_record_id":2946,"organisation_id":3197,"relation":"maintains","created_at":"2021-09-30T09:26:27.297Z","updated_at":"2021-09-30T09:26:27.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":3197,"name":"Vrije Universiteit Amsterdam, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2460","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T12:45:16.000Z","updated_at":"2023-12-15T10:30:48.609Z","metadata":{"doi":"10.25504/FAIRsharing.yd91ak","name":"Belgian BIF IPT - GBIF Belgium Repository","status":"ready","contacts":[{"contact_name":"André Heughebaert","contact_email":"a.heughebaert@biodiversity.be"}],"homepage":"http://ipt.biodiversity.be/","identifier":2460,"description":"The Belgium Biodiversity Platform maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). The Belgian Biodiversity Platform is a science-policy interface that offers a privileged access to primary biodiversity data and research information. The Platform encourages interdisciplinary cooperation among scientists and serves as an interface between researchers and science-policy organizations. It provides advice on the designation of biodiversity research priorities and promotes Belgian biodiversity research in international fora.","abbreviation":null,"data_curation":{"type":"manual"},"year_creation":2001,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000942","bsg-d000942"],"name":"FAIRsharing record for: Belgian BIF IPT - GBIF Belgium Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.yd91ak","doi":"10.25504/FAIRsharing.yd91ak","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). The Belgian Biodiversity Platform is a science-policy interface that offers a privileged access to primary biodiversity data and research information. The Platform encourages interdisciplinary cooperation among scientists and serves as an interface between researchers and science-policy organizations. It provides advice on the designation of biodiversity research priorities and promotes Belgian biodiversity research in international fora.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11647}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1096,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":387,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1032,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1256,"relation":"undefined"}],"grants":[{"id":2650,"fairsharing_record_id":2460,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:51.200Z","updated_at":"2021-09-30T09:25:51.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2651,"fairsharing_record_id":2460,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.224Z","updated_at":"2021-09-30T09:25:51.224Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2461","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T13:30:17.000Z","updated_at":"2023-12-15T10:30:21.824Z","metadata":{"doi":"10.25504/FAIRsharing.h2v2ye","name":"GBIF Mauritania IPT - GBIF Belgium","status":"ready","contacts":[{"contact_name":"Moulaye Mohamed Baba Ainina","contact_email":"ainina_3@hotmail.com"}],"homepage":"http://ipt-mrbif.bebif.be/","identifier":2461,"description":"The Belgium Biodiversity Platform hosts this data repository on behalf of GBIF Mauritania (MrBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). More specifically, MrBIF aims to promote, coordinate and facilitate data sharing and dissemination; undertake surveys of potential biodiversity data publishers and data users; promote publication and use of biodiversity data; formulate and implement policies on biodiversity conservation; train young scientists and decisions makers; and acquire IT materials, stable Internet access and reliable power supply.","abbreviation":"MrBIF IPT - GBIF Belgium","data_curation":{"type":"manual"},"support_links":[{"url":"a.heughebaert@biodiversity.be","name":"Andr Heughebaert","type":"Support email"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000943","bsg-d000943"],"name":"FAIRsharing record for: GBIF Mauritania IPT - GBIF Belgium","abbreviation":"MrBIF IPT - GBIF Belgium","url":"https://fairsharing.org/10.25504/FAIRsharing.h2v2ye","doi":"10.25504/FAIRsharing.h2v2ye","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform hosts this data repository on behalf of GBIF Mauritania (MrBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). More specifically, MrBIF aims to promote, coordinate and facilitate data sharing and dissemination; undertake surveys of potential biodiversity data publishers and data users; promote publication and use of biodiversity data; formulate and implement policies on biodiversity conservation; train young scientists and decisions makers; and acquire IT materials, stable Internet access and reliable power supply.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11648}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Mauritania"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1097,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":388,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1033,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":264,"relation":"undefined"}],"grants":[{"id":2653,"fairsharing_record_id":2461,"organisation_id":1694,"relation":"funds","created_at":"2021-09-30T09:25:51.273Z","updated_at":"2021-09-30T09:25:51.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":1694,"name":"L'Ecole Normale Superieure de Nouakchott (ENS), Nouakchott, Mauritania","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2652,"fairsharing_record_id":2461,"organisation_id":1694,"relation":"maintains","created_at":"2021-09-30T09:25:51.251Z","updated_at":"2021-09-30T09:25:51.251Z","grant_id":null,"is_lead":false,"saved_state":{"id":1694,"name":"L'Ecole Normale Superieure de Nouakchott (ENS), Nouakchott, Mauritania","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2654,"fairsharing_record_id":2461,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.301Z","updated_at":"2021-09-30T09:25:51.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2462","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T13:30:19.000Z","updated_at":"2023-12-15T10:31:39.883Z","metadata":{"doi":"10.25504/FAIRsharing.ewyejx","name":"Antabif IPT - AntOBIS IPT - GBIF Belgium","status":"ready","contacts":[{"contact_name":"Anton Van de Putte","contact_email":"antonarctica@gmail.com"}],"homepage":"http://ipt.biodiversity.aq/","citations":[],"identifier":2462,"description":"The Belgium Biodiversity Platform hosts this data repository on behalf of the SCAR Antarctic Biodiversity Portal biodiversity.aq in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). This IPT publisher serves terrestrial and marine Biodiversity data to the relevant global networks. The marine component of AntOBIS is part of an international data sharing network (Ocean Biogeographic Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information Exchange.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"a.heughebaert@biodiversity.be","name":"Andre Heughebaert","type":"Support email"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000944","bsg-d000944"],"name":"FAIRsharing record for: Antabif IPT - AntOBIS IPT - GBIF Belgium","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ewyejx","doi":"10.25504/FAIRsharing.ewyejx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform hosts this data repository on behalf of the SCAR Antarctic Biodiversity Portal biodiversity.aq in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). This IPT publisher serves terrestrial and marine Biodiversity data to the relevant global networks. The marine component of AntOBIS is part of an international data sharing network (Ocean Biogeographic Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information Exchange.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11649}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Antarctica","Belgium"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":97,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":199,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":104,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":172,"relation":"undefined"}],"grants":[{"id":2656,"fairsharing_record_id":2462,"organisation_id":227,"relation":"maintains","created_at":"2021-09-30T09:25:51.356Z","updated_at":"2021-09-30T09:25:51.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":227,"name":"biodiversity.aq","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2655,"fairsharing_record_id":2462,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.325Z","updated_at":"2021-09-30T09:25:51.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2463","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T13:30:51.000Z","updated_at":"2023-12-15T10:29:12.851Z","metadata":{"doi":"10.25504/FAIRsharing.9ff9zj","name":"Biofresh IPT - GBIF Belgium","status":"ready","contacts":[{"contact_name":"Aaike De Wever","contact_email":"aaike.dewever@naturalsciences.be"}],"homepage":"https://data.freshwaterbiodiversity.eu/","citations":[],"identifier":2463,"description":"The Belgium Biodiversity Platform hosts this data repository on behalf of BioFresh in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Biofresh is an EU-funded international project that aims to build a global information platform for scientists and ecosystem managers with access to all available databases describing the distribution, status and trends of global freshwater biodiversity. BioFresh integrates the freshwater biodiversity competencies and expertise of 19 research institutions.","abbreviation":null,"data_curation":{"url":"http://data.freshwaterbiodiversity.eu/qualitycontrol","type":"manual"},"support_links":[{"url":"a.heughebaert@biodiversity.be","name":"Andr Heughebaert","type":"Support email"},{"url":"http://data.freshwaterbiodiversity.eu/searchtips","name":"Search tips","type":"Help documentation"},{"url":"http://data.freshwaterbiodiversity.eu/datapolicy","name":"Data Policy","type":"Other"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011651","name":"re3data:r3d100011651","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://data.freshwaterbiodiversity.eu/submitdata","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000945","bsg-d000945"],"name":"FAIRsharing record for: Biofresh IPT - GBIF Belgium","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9ff9zj","doi":"10.25504/FAIRsharing.9ff9zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform hosts this data repository on behalf of BioFresh in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Biofresh is an EU-funded international project that aims to build a global information platform for scientists and ecosystem managers with access to all available databases describing the distribution, status and trends of global freshwater biodiversity. BioFresh integrates the freshwater biodiversity competencies and expertise of 19 research institutions.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11650}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science","Freshwater Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1098,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":390,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1034,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1168,"relation":"undefined"}],"grants":[{"id":2657,"fairsharing_record_id":2463,"organisation_id":231,"relation":"maintains","created_at":"2021-09-30T09:25:51.398Z","updated_at":"2021-09-30T09:25:51.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":231,"name":"BioFresh","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2658,"fairsharing_record_id":2463,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.437Z","updated_at":"2021-09-30T09:25:51.437Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2464","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T13:51:46.000Z","updated_at":"2023-12-15T10:31:01.017Z","metadata":{"doi":"10.25504/FAIRsharing.p56z5r","name":"Danish Biodiversity Information Facility IPT - GBIF Denmark","status":"ready","contacts":[{"contact_name":"Isabel Calabuig","contact_email":"ICalabuig@snm.ku.dk"}],"homepage":"http://danbif.au.dk/ipt/","identifier":2464,"description":"DanBIF maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). DanBIF carries out the work on making accessible the Danish, Faroese and Greenlandic resources of biodiversity data. DanBIF maintains the consensus checklist of all species known to occur in Denmark.","abbreviation":"DanBIF IPT - GBIF Denmark","data_curation":{"type":"manual"},"year_creation":2001,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000946","bsg-d000946"],"name":"FAIRsharing record for: Danish Biodiversity Information Facility IPT - GBIF Denmark","abbreviation":"DanBIF IPT - GBIF Denmark","url":"https://fairsharing.org/10.25504/FAIRsharing.p56z5r","doi":"10.25504/FAIRsharing.p56z5r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DanBIF maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). DanBIF carries out the work on making accessible the Danish, Faroese and Greenlandic resources of biodiversity data. DanBIF maintains the consensus checklist of all species known to occur in Denmark.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11651}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","Faroe Islands","Greenland"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1103,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":392,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":277,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1167,"relation":"undefined"}],"grants":[{"id":2661,"fairsharing_record_id":2464,"organisation_id":987,"relation":"funds","created_at":"2021-09-30T09:25:51.548Z","updated_at":"2021-09-30T09:25:51.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":987,"name":"Faculty of Science, University of Copenhagen","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2659,"fairsharing_record_id":2464,"organisation_id":988,"relation":"funds","created_at":"2021-09-30T09:25:51.469Z","updated_at":"2021-09-30T09:25:51.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":988,"name":"Faculty of Science, University of Southern Denmark","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2660,"fairsharing_record_id":2464,"organisation_id":637,"relation":"maintains","created_at":"2021-09-30T09:25:51.506Z","updated_at":"2021-09-30T09:25:51.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":637,"name":"Danish Biodiversity Information Facility, Denmark","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2662,"fairsharing_record_id":2464,"organisation_id":986,"relation":"funds","created_at":"2021-09-30T09:25:51.590Z","updated_at":"2021-09-30T09:25:51.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":986,"name":"Faculty of Science and Technology, Aarhus University, Denmark","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2465","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T14:13:12.000Z","updated_at":"2024-06-11T10:26:57.102Z","metadata":{"doi":"10.25504/FAIRsharing.58bd67","name":"Finnish Biodiversity Information Facility Repository","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"helpdesk@laji.fi","contact_orcid":null},{"contact_name":"Matti Sahla","contact_email":"matti.sahla@helsinki.fi","contact_orcid":"0000-0003-1151-0551"}],"homepage":"https://laji.fi","citations":[],"identifier":2465,"description":"The Finnish Biodiversity Information Facility (FinBIF) is an open access data repository for researchers, government and the public. FinBIF consolidates many collections and datasets of living Finland in a single source. Our online portal, laji.fi, allows you to browse, search and download information about all forms of biological life, and to record and share your own observations. FinBIF is committed to the sharing and promotion of open access data.","abbreviation":"FinBIF","data_curation":{"url":"https://laji.fi/en/save-observations","type":"not found","notes":"All described curation is performed by the submitter; no additional information can be found about post-submission curation."},"support_links":[{"url":"https://laji.fi/en/about/1153","type":"Contact form"}],"year_creation":2016,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013555","name":"re3data:r3d100013555","portal":"re3data"}],"data_access_condition":{"url":"https://laji.fi/en/about/875","type":"partially open","notes":"A small number of animal observation data is kept secret for security issues / animal well-being."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://laji.fi/en/save-observations","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000947","bsg-d000947"],"name":"FAIRsharing record for: Finnish Biodiversity Information Facility Repository","abbreviation":"FinBIF","url":"https://fairsharing.org/10.25504/FAIRsharing.58bd67","doi":"10.25504/FAIRsharing.58bd67","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Finnish Biodiversity Information Facility (FinBIF) is an open access data repository for researchers, government and the public. FinBIF consolidates many collections and datasets of living Finland in a single source. Our online portal, laji.fi, allows you to browse, search and download information about all forms of biological life, and to record and share your own observations. FinBIF is committed to the sharing and promotion of open access data.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11652}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Taxonomy","Biodiversity"],"domains":["Citation","Taxonomic classification","Biobank","Resource collection","Biological sample","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":["citizen science"],"countries":["Finland"],"publications":[{"id":4000,"pubmed_id":null,"title":"The Finnish Biodiversity Information Facility as a best-practice model for biodiversity data infrastructures","year":2021,"url":"http://dx.doi.org/10.1038/s41597-021-00919-6","authors":"Schulman, Leif; Lahti, Kari; Piirainen, Esko; Heikkinen, Mikko; Raitio, Olli; Juslén, Aino; ","journal":"Sci Data","doi":"10.1038/s41597-021-00919-6","created_at":"2023-09-28T08:12:48.639Z","updated_at":"2023-09-28T08:12:48.639Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1548,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1545,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1551,"relation":"undefined"}],"grants":[{"id":2664,"fairsharing_record_id":2465,"organisation_id":1013,"relation":"maintains","created_at":"2021-09-30T09:25:51.669Z","updated_at":"2023-09-25T09:26:08.038Z","grant_id":null,"is_lead":true,"saved_state":{"id":1013,"name":"Finnish Museum of Natural History","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10960,"fairsharing_record_id":2465,"organisation_id":4126,"relation":"maintains","created_at":"2023-09-28T08:15:27.271Z","updated_at":"2023-09-28T08:15:27.271Z","grant_id":null,"is_lead":true,"saved_state":{"id":4126,"name":"Finnish Biodiversity Information Facility","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2466","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T14:55:44.000Z","updated_at":"2023-11-13T11:45:03.923Z","metadata":{"doi":"10.25504/FAIRsharing.pq1njd","name":"GBIF France IPT - GBIF France","status":"ready","contacts":[{"contact_email":"gbif@gbif.fr"}],"homepage":"http://ipt.gbif.fr/","identifier":2466,"description":"GBIF France aims to collect all primary biodiversity data hosted in France, regardless of whether they concern the biodiversity of French territory or the rest of the world. GBIF France also supports additional countries' nodes with the hosting of their IPTs.","abbreviation":null,"data_curation":{"url":"https://www.gbif.org/become-a-publisher","type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/","type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.gbif.org/become-a-publisher","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000948","bsg-d000948"],"name":"FAIRsharing record for: GBIF France IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pq1njd","doi":"10.25504/FAIRsharing.pq1njd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France aims to collect all primary biodiversity data hosted in France, regardless of whether they concern the biodiversity of French territory or the rest of the world. GBIF France also supports additional countries' nodes with the hosting of their IPTs.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11653}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1235,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1213,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1210,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1215,"relation":"undefined"}],"grants":[{"id":2667,"fairsharing_record_id":2466,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.751Z","updated_at":"2021-09-30T09:25:51.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2665,"fairsharing_record_id":2466,"organisation_id":1947,"relation":"maintains","created_at":"2021-09-30T09:25:51.702Z","updated_at":"2021-09-30T09:25:51.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2666,"fairsharing_record_id":2466,"organisation_id":1059,"relation":"funds","created_at":"2021-09-30T09:25:51.725Z","updated_at":"2021-09-30T09:25:51.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":1059,"name":"French Ministry of Education, Research and Innovation, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2467","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T15:01:46.000Z","updated_at":"2023-12-15T10:31:02.631Z","metadata":{"doi":"10.25504/FAIRsharing.ptp5tb","name":"GBIF Benin IPT - GBIF France","status":"ready","contacts":[{"contact_name":"Jean C. Ganglo","contact_email":"gangloc@gmail.com"}],"homepage":"http://ipt-benin.gbif.fr/","citations":[],"identifier":2467,"description":"GBIF France hosts this data repository on behalf of GBIF Benin in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000949","bsg-d000949"],"name":"FAIRsharing record for: GBIF Benin IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ptp5tb","doi":"10.25504/FAIRsharing.ptp5tb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of GBIF Benin in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11654}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Benin","France"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1005,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1002,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":999,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1003,"relation":"undefined"}],"grants":[{"id":2668,"fairsharing_record_id":2467,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.775Z","updated_at":"2021-09-30T09:25:51.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2468","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T15:08:51.000Z","updated_at":"2023-12-15T10:30:36.810Z","metadata":{"doi":"10.25504/FAIRsharing.hwx5xr","name":"GBIF Guinea IPT - GBIF France","status":"ready","contacts":[{"contact_email":"gbif@gbif.fr"}],"homepage":"http://ipt-guinee.gbif.fr/","identifier":2468,"description":"GBIF France hosts this data repository on behalf of GBIF Guinea in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). GBIF-GUINEE is established within the Centre d'Observation de Surveillance et d'Information Environnementales (COSIE) , the signatory of the GBIF Memorandum of Understanding, as a specialized team working on the collection of biodiversity occurrence data from data publishers to enable their publication on the Internet. The node of GBIF-GUINEE is mandated to collect species occurrence data on the national and international level in order to make these available to data users and decision makers. The data collected and disseminated by COSIE enable the generation of statistics to support decision making by authorities, in order to integrate ecological considerations into programmes and plans for the socio-economic development of Guniea. These ecological considerations have the goal of protection of the environment and biological diversity.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000950","bsg-d000950"],"name":"FAIRsharing record for: GBIF Guinea IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.hwx5xr","doi":"10.25504/FAIRsharing.hwx5xr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of GBIF Guinea in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). GBIF-GUINEE is established within the Centre d'Observation de Surveillance et d'Information Environnementales (COSIE) , the signatory of the GBIF Memorandum of Understanding, as a specialized team working on the collection of biodiversity occurrence data from data publishers to enable their publication on the Internet. The node of GBIF-GUINEE is mandated to collect species occurrence data on the national and international level in order to make these available to data users and decision makers. The data collected and disseminated by COSIE enable the generation of statistics to support decision making by authorities, in order to integrate ecological considerations into programmes and plans for the socio-economic development of Guniea. These ecological considerations have the goal of protection of the environment and biological diversity.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11655}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Cameroon","France"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":83,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":72,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":81,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":77,"relation":"undefined"}],"grants":[{"id":2669,"fairsharing_record_id":2468,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.800Z","updated_at":"2021-09-30T09:25:51.800Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2454","type":"fairsharing_records","attributes":{"created_at":"2017-05-01T12:02:57.000Z","updated_at":"2023-12-15T10:32:59.588Z","metadata":{"doi":"10.25504/FAIRsharing.y0df7m","name":"Inter-university Consortium for Political and Social Research","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@icpsr.umich.edu"}],"homepage":"http://www.icpsr.umich.edu/","identifier":2454,"description":"ICPSR is a data archive of behavioral and social science research data. An international consortium of more than 750 academic institutions and research organizations, ICPSR provides leadership and training in data access, curation, and methods of analysis for the social science research community. ICPSR is a CoreTrustSeal core certified repository and was a 2019 United States National Medal for Museum and Library Service recipient, the nation’s highest honor given to museums and libraries that make significant and exceptional contributions to their communities.","abbreviation":"ICPSR","data_curation":{"url":"https://www.icpsr.umich.edu/files/datamanagement/icpsr-curation-levels.pdf","type":"manual"},"support_links":[{"url":"https://www.icpsr.umich.edu/icpsrweb/content/about/contact.html","name":"ICPSR Contact Us","type":"Contact form"},{"url":"http://www.icpsr.umich.edu/icpsrweb/ICPSR/help/","name":"ICPSR Help","type":"Help documentation"},{"url":"https://twitter.com/ICPSR","name":"@ICPSR","type":"Twitter"}],"year_creation":1962,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010255","name":"re3data:r3d100010255","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003194","name":"SciCrunch:RRID:SCR_003194","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.icpsr.umich.edu/web/ICPSR/help/","type":"partially open","notes":"Access to some datasets are restricted and applications are reviewed by the Institutional Review Board. Only ICPSR members can access all datasets."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/deposit/index.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000936","bsg-d000936"],"name":"FAIRsharing record for: Inter-university Consortium for Political and Social Research","abbreviation":"ICPSR","url":"https://fairsharing.org/10.25504/FAIRsharing.y0df7m","doi":"10.25504/FAIRsharing.y0df7m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ICPSR is a data archive of behavioral and social science research data. An international consortium of more than 750 academic institutions and research organizations, ICPSR provides leadership and training in data access, curation, and methods of analysis for the social science research community. ICPSR is a CoreTrustSeal core certified repository and was a 2019 United States National Medal for Museum and Library Service recipient, the nation’s highest honor given to museums and libraries that make significant and exceptional contributions to their communities.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11130},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12777},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12934},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19999}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Demographics","Social Science","Criminology","Data Governance","Public Health","Data Management","Psychology","Social and Behavioural Science","Political Science","Anthropology"],"domains":["Behavior","Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Education","Sociology"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ICPSR Privacy Policy","licence_id":417,"licence_url":"https://www.icpsr.umich.edu/icpsrweb/content/about/privacy.html","link_id":307,"relation":"undefined"}],"grants":[{"id":2634,"fairsharing_record_id":2454,"organisation_id":2415,"relation":"maintains","created_at":"2021-09-30T09:25:50.636Z","updated_at":"2021-09-30T09:25:50.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":2415,"name":"Regents of the University of Michigan, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2635,"fairsharing_record_id":2454,"organisation_id":1393,"relation":"maintains","created_at":"2021-09-30T09:25:50.672Z","updated_at":"2021-09-30T09:25:50.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":1393,"name":"Institute for Social Research, University of Michigan, Ann Arbor, MI, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2455","type":"fairsharing_records","attributes":{"created_at":"2017-05-09T12:21:32.000Z","updated_at":"2023-10-04T08:17:57.215Z","metadata":{"doi":"10.25504/FAIRsharing.2wa7v7","name":"PhenX Toolkit","status":"ready","contacts":[{"contact_name":"PhenX Staff","contact_email":"contact@phenxtoolkit.org","contact_orcid":null}],"homepage":"https://www.phenxtoolkit.org","citations":[],"identifier":2455,"description":"The PhenX (consensus measures for Phenotypes and eXposures) Toolkit is a web-based catalog of recommended, standard measures of phenotypes and environmental exposures for use in biomedical research. The PhenX Toolkit offers well-established, broadly validated measures of phenotypes and exposures relevant to investigators in human genomics, epidemiology, and biomedical research. The measures in the Toolkit are selected by Working Groups of domain experts using a consensus process. The Toolkit provides detailed protocols, information about the measures, and tools to help investigators incorporate PhenX measures into their studies.","abbreviation":"PhenX Toolkit","data_curation":{"type":"manual","notes":"Data are reviewed by Expert Review Panels."},"support_links":[{"url":"https://www.phenxtoolkit.org/about/contact-form","name":"General Contact Form","type":"Contact form"},{"url":"https://www.phenxtoolkit.org/help/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.phenxtoolkit.org/help","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCbDroMNmfIMwCA1fa3masyw","name":"YouTube Channel","type":"Video"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"url":"https://www.phenxtoolkit.org/help/faq#question-11","type":"partially open","notes":"A small percentage of protocols have limited availability. The user will be directed to the source of the protocol."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.phenxtoolkit.org/about/criteria","type":"controlled","notes":"The protocols in the Toolkit are selected by Working Groups of domain experts using a consensus process."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000937","bsg-d000937"],"name":"FAIRsharing record for: PhenX Toolkit","abbreviation":"PhenX Toolkit","url":"https://fairsharing.org/10.25504/FAIRsharing.2wa7v7","doi":"10.25504/FAIRsharing.2wa7v7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PhenX (consensus measures for Phenotypes and eXposures) Toolkit is a web-based catalog of recommended, standard measures of phenotypes and environmental exposures for use in biomedical research. The PhenX Toolkit offers well-established, broadly validated measures of phenotypes and exposures relevant to investigators in human genomics, epidemiology, and biomedical research. The measures in the Toolkit are selected by Working Groups of domain experts using a consensus process. The Toolkit provides detailed protocols, information about the measures, and tools to help investigators incorporate PhenX measures into their studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12778}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science","Epidemiology"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1812,"pubmed_id":26132000,"title":"Using the PhenX Toolkit to Add Standard Measures to a Study.","year":2015,"url":"http://doi.org/10.1002/0471142905.hg0121s86","authors":"Hendershot T,Pan H,Haines J,Harlan WR,Marazita ML,McCarty CA,Ramos EM,Hamilton CM","journal":"Curr Protoc Hum Genet","doi":"10.1002/0471142905.hg0121s86","created_at":"2021-09-30T08:25:43.380Z","updated_at":"2021-09-30T08:25:43.380Z"},{"id":2148,"pubmed_id":22954959,"title":"The PhenX Toolkit pregnancy and birth collections.","year":2012,"url":"http://doi.org/10.1016/j.annepidem.2012.08.004","authors":"Whitehead NS,Hammond JA,Williams MA,Huggins W,Hoover S,Hamilton CM,Ramos EM,Junkins HA,Harlan WR,Hogue CJ","journal":"Ann Epidemiol","doi":"10.1016/j.annepidem.2012.08.004","created_at":"2021-09-30T08:26:22.066Z","updated_at":"2021-09-30T08:26:22.066Z"}],"licence_links":[],"grants":[{"id":2636,"fairsharing_record_id":2455,"organisation_id":2226,"relation":"funds","created_at":"2021-09-30T09:25:50.710Z","updated_at":"2021-09-30T09:25:50.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2226,"name":"Office of Behavioral and Social Sciences Research (OBSSR), NIH, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2637,"fairsharing_record_id":2455,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:50.742Z","updated_at":"2021-09-30T09:25:50.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2638,"fairsharing_record_id":2455,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:50.776Z","updated_at":"2021-09-30T09:25:50.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2639,"fairsharing_record_id":2455,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:50.809Z","updated_at":"2021-09-30T09:29:21.794Z","grant_id":213,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41 HG007050","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2tEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6fb5773561343d6261ff50c85b37700f4b50682c/Screenshot%20from%202023-10-04%2009-17-17.png?disposition=inline","exhaustive_licences":false}},{"id":"2456","type":"fairsharing_records","attributes":{"created_at":"2017-05-09T18:11:49.000Z","updated_at":"2022-07-20T13:07:53.338Z","metadata":{"doi":"10.25504/FAIRsharing.5epybt","name":"Apollo Library","status":"deprecated","contacts":[{"contact_name":"Michael Wagner","contact_email":"mmw1@pitt.edu","contact_orcid":"0000-0002-4437-7016"}],"homepage":"https://apollodev.github.io/","identifier":2456,"description":"The Apollo Library contains machine interpretable representations of epidemics, infectious disease scenarios, and case series.","abbreviation":"Apollo Library","data_curation":{"type":"not found"},"year_creation":2016,"data_versioning":"not found","deprecation_date":"2021-05-24","deprecation_reason":"This resource no longer exists as a database, but rather as a schema, web service and controlled vocabulary. As such it is no longer within FAIRsharing's remit.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000938","bsg-d000938"],"name":"FAIRsharing record for: Apollo Library","abbreviation":"Apollo Library","url":"https://fairsharing.org/10.25504/FAIRsharing.5epybt","doi":"10.25504/FAIRsharing.5epybt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Apollo Library contains machine interpretable representations of epidemics, infectious disease scenarios, and case series.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12779}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science","Epidemiology"],"domains":["Infection","Disease"],"taxonomies":["Chikungunya virus","ebolavirus","rabies virus","Zika virus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":1004,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2457","type":"fairsharing_records","attributes":{"created_at":"2017-05-12T19:13:39.000Z","updated_at":"2022-01-11T14:34:49.129Z","metadata":{"doi":"10.25504/FAIRsharing.6hb7c1","name":"Chile National Health Survey 2009-2010","status":"deprecated","contacts":[{"contact_name":"jpalegre@minsal.cl","contact_email":"jpalegre@minsal.cl"}],"homepage":"http://epi.minsal.cl/bases-de-datos/","citations":[],"identifier":2457,"description":"The Chile National Health Survey 2009-2010 includes health status questionnaires including the SF-12, mental health questionnaires, physical activity questionnaires, and biological measurements taken during a physical exam.","abbreviation":"Chile NHS 2009","data_curation":{"type":"not found"},"year_creation":2009,"data_versioning":"not found","deprecation_date":"2022-01-05","deprecation_reason":"This resource no longer fits within our remit as a database. Please get in touch with us if you have information relating to this resource's status.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000939","bsg-d000939"],"name":"FAIRsharing record for: Chile National Health Survey 2009-2010","abbreviation":"Chile NHS 2009","url":"https://fairsharing.org/10.25504/FAIRsharing.6hb7c1","doi":"10.25504/FAIRsharing.6hb7c1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chile National Health Survey 2009-2010 includes health status questionnaires including the SF-12, mental health questionnaires, physical activity questionnaires, and biological measurements taken during a physical exam.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Chile"],"publications":[],"licence_links":[],"grants":[{"id":2640,"fairsharing_record_id":2457,"organisation_id":1854,"relation":"maintains","created_at":"2021-09-30T09:25:50.833Z","updated_at":"2021-09-30T09:25:50.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":1854,"name":"Ministerio de Salud de Chile, Chile","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2447","type":"fairsharing_records","attributes":{"created_at":"2017-04-22T14:27:08.000Z","updated_at":"2024-07-08T11:03:12.623Z","metadata":{"doi":"10.25504/FAIRsharing.ys5ta3","name":"System for Earth Sample Registration Catalog","status":"ready","contacts":[{"contact_name":"Kerstin Lehnert","contact_email":"info@geosamples.org"}],"homepage":"https://www.geosamples.org/","citations":[],"identifier":2447,"description":"SESAR operates a registry that distributes the International Geo Sample Number IGSN. SESAR catalogs and preserves metadata profiles of physical samples, and provides access to the sample catalog via the Global Sample Search.","abbreviation":"SESAR Catalog","data_curation":{"url":"https://www.geosamples.org/about/services#curationsupport","type":"manual"},"support_links":[{"url":"https://www.geosamples.org/resources/help#faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.geosamples.org/resources/help","type":"Help documentation"},{"url":"https://www.geosamples.org/vocabularies","name":"SESAR Vocabularies","type":"Help documentation"},{"url":"https://www.geosamples.org/category/news","type":"Blog/News"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010420","name":"re3data:r3d100010420","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002222","name":"SciCrunch:RRID:SCR_002222","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.geosamples.org/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.geosamples.org/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000929","bsg-d000929"],"name":"FAIRsharing record for: System for Earth Sample Registration Catalog","abbreviation":"SESAR Catalog","url":"https://fairsharing.org/10.25504/FAIRsharing.ys5ta3","doi":"10.25504/FAIRsharing.ys5ta3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SESAR operates a registry that distributes the International Geo Sample Number IGSN. SESAR catalogs and preserves metadata profiles of physical samples, and provides access to the sample catalog via the Global Sample Search.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2613,"fairsharing_record_id":2447,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.843Z","updated_at":"2021-09-30T09:25:49.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2612,"fairsharing_record_id":2447,"organisation_id":1466,"relation":"maintains","created_at":"2021-09-30T09:25:49.806Z","updated_at":"2021-09-30T09:25:49.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":1466,"name":"Interdisciplinary Earth Data Alliance (IEDA), Palisades, NY, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2614,"fairsharing_record_id":2447,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:49.881Z","updated_at":"2021-09-30T09:25:49.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2448","type":"fairsharing_records","attributes":{"created_at":"2017-04-22T21:07:43.000Z","updated_at":"2023-12-15T10:31:28.441Z","metadata":{"doi":"10.25504/FAIRsharing.2cfr4z","name":"Allele Frequency Net Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"support@allelefrequencies.net"}],"homepage":"http://www.allelefrequencies.net","citations":[{"doi":"10.1093/nar/gkz1029","pubmed_id":31722398,"publication_id":2155}],"identifier":2448,"description":"The Allele Frequency Net Database (AFND) provides the scientific community with a freely available repository for the storage of frequency data (alleles, genes, haplotypes and genotypes) related to human leukocyte antigens (HLA), killer-cell immunoglobulin-like receptors (KIR), major histocompatibility complex Class I chain related genes (MIC) and a number of cytokine gene polymorphisms in worldwide populations.","abbreviation":"AFND","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.allelefrequencies.net/faqs.asp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.allelefrequencies.net/collaborators.asp","name":"About","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011904","name":"re3data:r3d100011904","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007259","name":"SciCrunch:RRID:SCR_007259","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.allelefrequencies.net/faqs.asp","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000930","bsg-d000930"],"name":"FAIRsharing record for: Allele Frequency Net Database","abbreviation":"AFND","url":"https://fairsharing.org/10.25504/FAIRsharing.2cfr4z","doi":"10.25504/FAIRsharing.2cfr4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Allele Frequency Net Database (AFND) provides the scientific community with a freely available repository for the storage of frequency data (alleles, genes, haplotypes and genotypes) related to human leukocyte antigens (HLA), killer-cell immunoglobulin-like receptors (KIR), major histocompatibility complex Class I chain related genes (MIC) and a number of cytokine gene polymorphisms in worldwide populations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Human Genetics","Biomedical Science"],"domains":["Deoxyribonucleic acid","Human leukocyte antigen complex","Genetic polymorphism","Major histocompatibility complex","Killer-cell Immunoglobulin-like Receptors","Allele","Allele frequency","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2152,"pubmed_id":null,"title":"Allele frequency net 2015 update: new features for HLA epitopes, KIR and disease and HLA adverse drug reaction associations","year":2015,"url":"https://doi.org/10.1093/nar/gku1166","authors":"Faviel F. González-Galarza Louise Y.C. Takeshita Eduardo J.M. Santos Felicity Kempson Maria Helena Thomaz Maia Andrea Luciana Soares da Silva André Luiz Teles e Silva Gurpreet S. Ghattaoraya Ana Alfirevic Andrew R. Jones Derek Middleton","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:26:22.556Z","updated_at":"2021-09-30T11:29:51.479Z"},{"id":2155,"pubmed_id":31722398,"title":"Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1029","authors":"Gonzalez-Galarza FF,McCabe A,Santos EJMD,Jones J,Takeshita L,Ortega-Rivera ND,Cid-Pavon GMD,Ramsbottom K,Ghattaoraya G,Alfirevic A,Middleton D,Jones AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1029","created_at":"2021-09-30T08:26:22.913Z","updated_at":"2021-09-30T11:29:30.229Z"}],"licence_links":[{"licence_name":"AFND Disclaimer \u0026 Privacy Policy","licence_id":977,"licence_url":"http://www.allelefrequencies.net/contact.asp","link_id":2821,"relation":"applies_to_content"}],"grants":[{"id":2616,"fairsharing_record_id":2448,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:25:49.964Z","updated_at":"2021-09-30T09:25:49.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2615,"fairsharing_record_id":2448,"organisation_id":2827,"relation":"maintains","created_at":"2021-09-30T09:25:49.922Z","updated_at":"2021-09-30T09:25:49.922Z","grant_id":null,"is_lead":false,"saved_state":{"id":2827,"name":"The Royal Liverpool and Broadgreen Universities Hospital NHS Trust, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2449","type":"fairsharing_records","attributes":{"created_at":"2017-04-22T21:41:16.000Z","updated_at":"2024-05-21T11:41:29.717Z","metadata":{"doi":"10.25504/FAIRsharing.21tjj7","name":"Leiden Open Variation Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@LOVD.nl"}],"homepage":"https://www.lovd.nl/","citations":[{"doi":"10.1038/s41431-021-00959-x","pubmed_id":34521998,"publication_id":4276}],"identifier":2449,"description":"The Leiden Open Variation Database (LOVD) provides a flexible, freely available tool for gene-centered collection and display of DNA variations. LOVD also stores patient-centered data, NGS data, and variants outside of genes.","abbreviation":"LOVD","data_curation":{"url":"https://www.lovd.nl/3.0/docs/manual.html#[5,%22XYZ%22,57.056,785.197,null]","type":"manual/automated"},"support_links":[{"url":"https://www.lovd.nl/3.0/news","name":"News","type":"Blog/News"},{"url":"https://www.lovd.nl/3.0/contact","name":"Contact Form","type":"Contact form"},{"url":"https://www.lovd.nl/3.0/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.lovd.nl/3.0/docs/manual.html","name":"User Guide","type":"Help documentation"},{"url":"https://twitter.com/LOVD","name":"@LOVD","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Leiden_Open_Variation_Database","name":"LOVD Wikipedia Page","type":"Wikipedia"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011905","name":"re3data:r3d100011905","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006566","name":"SciCrunch:RRID:SCR_006566","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.lovd.nl/3.0/docs/manual.html#[55,%22XYZ%22,57.056,785.197,null]","type":"controlled","notes":"Some data can only be entered by persons qualified to \"manager\", \"collaborator\" or \"curator\" levels, approved by the database."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000931","bsg-d000931"],"name":"FAIRsharing record for: Leiden Open Variation Database","abbreviation":"LOVD","url":"https://fairsharing.org/10.25504/FAIRsharing.21tjj7","doi":"10.25504/FAIRsharing.21tjj7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Leiden Open Variation Database (LOVD) provides a flexible, freely available tool for gene-centered collection and display of DNA variations. LOVD also stores patient-centered data, NGS data, and variants outside of genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Human Genetics","Biomedical Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Phenotype","Disease","Gene","Sequence variant","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Functional impact of genetic variants"],"countries":["Netherlands"],"publications":[{"id":2134,"pubmed_id":15977173,"title":"LOVD: easy creation of a locus-specific sequence variation database using an \"LSDB-in-a-box\" approach.","year":2005,"url":"http://doi.org/10.1002/humu.20201","authors":"Fokkema IF, den Dunnen JT, Taschner PE","journal":"Human Mutation","doi":"10.1002/humu.20201","created_at":"2021-09-30T08:26:20.624Z","updated_at":"2021-09-30T08:26:20.624Z"},{"id":2177,"pubmed_id":21520333,"title":"LOVD v.2.0: the next generation in gene variant databases.","year":2011,"url":"http://doi.org/10.1002/humu.21438","authors":"Fokkema IF, Taschner PE, Schaafsma GC, Celli J, Laros JF, den Dunnen JT","journal":"Human Mutation","doi":"10.1002/humu.21438","created_at":"2021-09-30T08:26:25.377Z","updated_at":"2021-09-30T08:26:25.377Z"},{"id":4276,"pubmed_id":34521998,"title":"The LOVD3 platform: efficient genome-wide sharing of genetic variants.","year":2021,"url":"https://doi.org/10.1038/s41431-021-00959-x","authors":"Fokkema IFAC, Kroon M, López Hernández JA, Asscheman D, Lugtenburg I, Hoogenboom J, den Dunnen JT","journal":"European journal of human genetics : EJHG","doi":"10.1038/s41431-021-00959-x","created_at":"2024-05-08T10:09:44.677Z","updated_at":"2024-05-08T10:09:44.677Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":162,"relation":"undefined"}],"grants":[{"id":2619,"fairsharing_record_id":2449,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:50.058Z","updated_at":"2021-09-30T09:29:49.954Z","grant_id":425,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2618,"fairsharing_record_id":2449,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:25:50.034Z","updated_at":"2021-09-30T09:25:50.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2450","type":"fairsharing_records","attributes":{"created_at":"2017-05-30T02:42:48.000Z","updated_at":"2021-11-24T13:13:06.262Z","metadata":{"doi":"10.25504/FAIRsharing.c7c4h1","name":"Visual Database for Organelle Genome","status":"deprecated","contacts":[{"contact_name":"Yiqing Xu","contact_email":"yiqingxu@njfu.edu.cn","contact_orcid":"0000-0002-7962-6668"}],"homepage":"http://bio.njfu.edu.cn/VDOG","identifier":2450,"description":"VDOG, Visual Database for Organelle Genome is an innovative database of the genome information in the organelles. Most of the data in VDOG are originally extracted from GeneBank, re-organized and represented.","abbreviation":"VDOG","data_curation":{"type":"not found"},"support_links":[{"url":"yiqingxu@njfu.edu.cn","type":"Support email"},{"url":"http://bio.njfu.edu.cn/VDOG/howto.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://bio.njfu.edu.cn/VDOG/intro.php","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","associated_tools":[{"url":"http://bio.njfu.edu.cn/CPTree","name":"CPTree 1.2"},{"url":"http://bio.njfu.edu.cn/MTTree","name":"MTTree beta"},{"url":"http://ogdraw.mpimp-golm.mpg.de/","name":"OrganellarGenomeDRAW 1.2"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000932","bsg-d000932"],"name":"FAIRsharing record for: Visual Database for Organelle Genome","abbreviation":"VDOG","url":"https://fairsharing.org/10.25504/FAIRsharing.c7c4h1","doi":"10.25504/FAIRsharing.c7c4h1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VDOG, Visual Database for Organelle Genome is an innovative database of the genome information in the organelles. Most of the data in VDOG are originally extracted from GeneBank, re-organized and represented.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Visualization"],"domains":["Organelle","Mitochondrial sequence","Plastid sequence","Chloroplast sequence"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1038,"relation":"undefined"}],"grants":[{"id":2620,"fairsharing_record_id":2450,"organisation_id":1928,"relation":"maintains","created_at":"2021-09-30T09:25:50.083Z","updated_at":"2021-09-30T09:25:50.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":1928,"name":"Nanjing Forestry University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2434","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T19:06:37.000Z","updated_at":"2023-12-15T10:27:35.202Z","metadata":{"doi":"10.25504/FAIRsharing.t43bf6","name":"UK Polar Data Centre Discovery Metadata System","status":"ready","contacts":[{"contact_name":"General Information","contact_email":"polardatacentre@bas.ac.uk"}],"homepage":"https://www.bas.ac.uk/data/uk-pdc/","citations":[],"identifier":2434,"description":"The UK Polar Data Centre (UK PDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for polar science. It is the focal point for Arctic and Antarctic environmental data management in the UK.","abbreviation":"UK PDC Discovery Metadata System","data_curation":{"url":"https://www.bas.ac.uk/data/uk-pdc/contacts/","type":"manual"},"support_links":[{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"},{"url":"https://www.bas.ac.uk/data/uk-pdc/metadata-guidance/","name":"Metadata Guidance","type":"Help documentation"},{"url":"https://www.bas.ac.uk/data/uk-pdc/data-citation-and-publishing/","name":"About Data Citation","type":"Help documentation"},{"url":"https://twitter.com/BAS_News","name":"@BAS_News","type":"Twitter"}],"data_versioning":"no","associated_tools":[{"url":"https://data.bas.ac.uk/","name":"Discovery Metadata System"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010120","name":"re3data:r3d100010120","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.bas.ac.uk/wp-content/uploads/2020/05/PDC_digital_data_preservation_policy_v1.0.pdf","name":"UK PDC Digital Data preservation policy"},"data_deposition_condition":{"url":"https://www.bas.ac.uk/data/uk-pdc/data-deposit/","type":"controlled","notes":"Data deposit"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000916","bsg-d000916"],"name":"FAIRsharing record for: UK Polar Data Centre Discovery Metadata System","abbreviation":"UK PDC Discovery Metadata System","url":"https://fairsharing.org/10.25504/FAIRsharing.t43bf6","doi":"10.25504/FAIRsharing.t43bf6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Polar Data Centre (UK PDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for polar science. It is the focal point for Arctic and Antarctic environmental data management in the UK.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BAS Privacy and Cookie Policy","licence_id":56,"licence_url":"https://www.bas.ac.uk/about-this-site/privacy-cookie-policy/","link_id":1501,"relation":"undefined"}],"grants":[{"id":2585,"fairsharing_record_id":2434,"organisation_id":2090,"relation":"maintains","created_at":"2021-09-30T09:25:48.733Z","updated_at":"2021-09-30T09:25:48.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2586,"fairsharing_record_id":2434,"organisation_id":312,"relation":"maintains","created_at":"2021-09-30T09:25:48.757Z","updated_at":"2021-09-30T09:25:48.757Z","grant_id":null,"is_lead":true,"saved_state":{"id":312,"name":"British Antarctic Survey, National Environmental Research Council (NERC), Cambridge, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBallDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a62a9988ed1db3a47c4066b593cd15d07ef38486/Screenshot%20from%202022-12-17%2010-42-23.png?disposition=inline","exhaustive_licences":false}},{"id":"2451","type":"fairsharing_records","attributes":{"created_at":"2017-04-28T19:30:55.000Z","updated_at":"2023-06-23T09:34:54.634Z","metadata":{"doi":"10.25504/FAIRsharing.2g5kcb","name":"Research Data Australia","status":"ready","contacts":[{"contact_name":"Cel Pilapil","contact_email":"services@ardc.edu.au"}],"homepage":"https://researchdata.edu.au/","identifier":2451,"description":"Research Data Australia is the data discovery service of the Australian Research Data Commons (ARDC). Research Data Australia helps you find, access, and reuse data for research from over one hundred Australian research organisations, government agencies, and cultural institutions. This services indexes metadata about the data stored by their data publishing partners, providing links out to the primary data.","abbreviation":"RDA","data_curation":{"url":"https://documentation.ardc.edu.au/display/DOC/Content+Providers+Guide","type":"manual/automated"},"support_links":[{"url":"https://researchdata.edu.au/page/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ARDC_AU","name":"@ARDC_AU","type":"Twitter"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"https://researchdata.edu.au/theme/services","name":"Tool List"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010464","name":"re3data:r3d100010464","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.education.gov.au/ncris","name":"National Collaborative Research Infrastructure Strategy (NCRIS)"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://researchdata.edu.au/contributors-list","type":"controlled","notes":"https://documentation.ardc.edu.au/display/DOC/Providing+metadata+records+to+Research+Data+Australia"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000933","bsg-d000933"],"name":"FAIRsharing record for: Research Data Australia","abbreviation":"RDA","url":"https://fairsharing.org/10.25504/FAIRsharing.2g5kcb","doi":"10.25504/FAIRsharing.2g5kcb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Research Data Australia is the data discovery service of the Australian Research Data Commons (ARDC). Research Data Australia helps you find, access, and reuse data for research from over one hundred Australian research organisations, government agencies, and cultural institutions. This services indexes metadata about the data stored by their data publishing partners, providing links out to the primary data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Marine Biology","Humanities and Social Science","Urban Planning","Astrophysics and Astronomy","Materials Science","Subject Agnostic","Biology","Tropical Medicine","Ecosystem Science"],"domains":["Resource metadata","Tropical","Climate","Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":2622,"fairsharing_record_id":2451,"organisation_id":146,"relation":"maintains","created_at":"2021-09-30T09:25:50.156Z","updated_at":"2021-09-30T09:25:50.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":146,"name":"Australian National University, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2621,"fairsharing_record_id":2451,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:50.114Z","updated_at":"2021-09-30T09:25:50.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2623,"fairsharing_record_id":2451,"organisation_id":568,"relation":"maintains","created_at":"2021-09-30T09:25:50.197Z","updated_at":"2021-09-30T09:25:50.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2624,"fairsharing_record_id":2451,"organisation_id":1892,"relation":"maintains","created_at":"2021-09-30T09:25:50.235Z","updated_at":"2021-09-30T09:25:50.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":1892,"name":"Monash University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10650,"fairsharing_record_id":2451,"organisation_id":150,"relation":"maintains","created_at":"2023-06-08T10:06:14.917Z","updated_at":"2023-06-08T10:06:14.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":150,"name":"Australian Research Data Commons","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2452","type":"fairsharing_records","attributes":{"created_at":"2017-04-28T20:35:03.000Z","updated_at":"2024-03-21T13:58:03.378Z","metadata":{"doi":"10.25504/FAIRsharing.t2e1ss","name":"Harvard Dataverse Repository","status":"ready","contacts":[{"contact_name":"Harvard Dataverse Support","contact_email":"support@dataverse.harvard.edu","contact_orcid":null}],"homepage":"https://dataverse.harvard.edu","citations":[],"identifier":2452,"description":"Harvard Dataverse Repository is a research data repository running on the open source Dataverse software. The repository is fully open to the public, allows upload and browsing of data from all fields of research, and is free for all researchers worldwide.\n\nHarvard Dataverse Repository receives support from Harvard University, public and private grants, and an emergent consortium model.","abbreviation":null,"data_curation":{"url":"https://support.dataverse.harvard.edu/curation-services","type":"manual/automated","notes":"Curation and Data Management Services"},"support_links":[{"url":"https://dataverse.org/blog","name":"Blog","type":"Blog/News"},{"url":"http://guides.dataverse.org/en/latest/user/","name":"Dataverse User Guide","type":"Help documentation"},{"url":"https://twitter.com/dataverseorg","name":"@dataverseorg","type":"Twitter"},{"url":"https://support.dataverse.harvard.edu/","name":"Support website","type":"Help documentation"},{"url":"https://dataverse.org/best-practices/data-citation","name":"Data Citation Best Practices","type":"Help documentation"}],"year_creation":1999,"data_versioning":"yes","associated_tools":[{"url":"https://guides.dataverse.org/en/latest/admin/external-tools.html","name":"External Tools"}],"cross_references":[{"url":"http://doi.org/10.17616/R3C880","name":"re3data:r3d100010051","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001997","name":"SciCrunch:RRID:SCR_001997","portal":"SciCrunch"}],"data_access_condition":{"type":"open","notes":"https://guides.dataverse.org/en/5.13/user/find-use-data.html"},"resource_sustainability":{"url":"https://www.iq.harvard.edu/roadmap-dataverse-project","name":"Roadmap: The Dataverse Project Strategic Goals"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://support.dataverse.harvard.edu/harvard-dataverse-preservation-policy","name":"Preservation Policy"},"data_deposition_condition":{"url":"https://support.dataverse.harvard.edu/harvard-dataverse-general-terms-use","type":"open","notes":"User account registration required. Upload limit of 2.5 GB; 1 TB storage space per researcher."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000934","bsg-d000934"],"name":"FAIRsharing record for: Harvard Dataverse Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.t2e1ss","doi":"10.25504/FAIRsharing.t2e1ss","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Harvard Dataverse Repository is a research data repository running on the open source Dataverse software. The repository is fully open to the public, allows upload and browsing of data from all fields of research, and is free for all researchers worldwide.\n\nHarvard Dataverse Repository receives support from Harvard University, public and private grants, and an emergent consortium model.","linked_records":[],"linking_records":[{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12924},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12933},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15080}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Experimental measurement","Protocol"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":467,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":464,"relation":"undefined"},{"licence_name":"Harvard Dataverse API Terms of Use","licence_id":378,"licence_url":"https://dataverse.org/best-practices/harvard-api-tou","link_id":459,"relation":"undefined"},{"licence_name":"Harvard Dataverse General Terms of Use","licence_id":379,"licence_url":"https://dataverse.org/best-practices/harvard-dataverse-general-terms-use","link_id":453,"relation":"undefined"},{"licence_name":"Harvard Dataverse Preservation Policy","licence_id":380,"licence_url":"https://dataverse.org/best-practices/harvard-dataverse-preservation-policy","link_id":455,"relation":"undefined"},{"licence_name":"Harvard Dataverse Privacy Policy","licence_id":381,"licence_url":"https://dataverse.org/best-practices/harvard-dataverse-privacy-policy","link_id":446,"relation":"undefined"}],"grants":[{"id":2625,"fairsharing_record_id":2452,"organisation_id":1239,"relation":"maintains","created_at":"2021-09-30T09:25:50.272Z","updated_at":"2021-09-30T09:25:50.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":1239,"name":"Henry A. Murray Research Archives","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2628,"fairsharing_record_id":2452,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:50.397Z","updated_at":"2021-09-30T09:25:50.397Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2631,"fairsharing_record_id":2452,"organisation_id":1216,"relation":"funds","created_at":"2021-09-30T09:25:50.515Z","updated_at":"2021-09-30T09:25:50.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2627,"fairsharing_record_id":2452,"organisation_id":1706,"relation":"funds","created_at":"2021-09-30T09:25:50.356Z","updated_at":"2021-09-30T09:25:50.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":1706,"name":"Leona M. and Harry B. Helmsley Charitable Trust, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2630,"fairsharing_record_id":2452,"organisation_id":2763,"relation":"maintains","created_at":"2021-09-30T09:25:50.473Z","updated_at":"2021-09-30T09:25:50.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2763,"name":"The Dataverse Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2632,"fairsharing_record_id":2452,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:50.556Z","updated_at":"2021-09-30T09:25:50.556Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11526,"fairsharing_record_id":2452,"organisation_id":2788,"relation":"maintains","created_at":"2024-03-21T13:58:02.046Z","updated_at":"2024-03-21T13:58:02.046Z","grant_id":null,"is_lead":false,"saved_state":{"id":2788,"name":"The Institute for Quantitative Social Service, Harvard University","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9378,"fairsharing_record_id":2452,"organisation_id":54,"relation":"funds","created_at":"2022-04-11T12:07:34.301Z","updated_at":"2022-04-11T12:07:34.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":54,"name":"Alfred P. Sloan Foundation, New York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3c8241aa5d8bbb73ddbc3e105cffcce500b49d1c/logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2453","type":"fairsharing_records","attributes":{"created_at":"2017-05-01T10:47:29.000Z","updated_at":"2023-06-23T09:50:28.178Z","metadata":{"doi":"10.25504/FAIRsharing.3epmpp","name":"Mendeley Data","status":"ready","contacts":[{"contact_name":"Luca Belletti","contact_email":"l.belletti@elsevier.com","contact_orcid":"0000-0000-0000-0000"}],"homepage":"https://data.mendeley.com","citations":[],"identifier":2453,"description":"Mendeley Data is a multidisciplinary, free-to-use open repository specialised for research data. Files of any format can be uploaded and shared with the research community following the FAIR data principles, up to a maximum of 10GB per dataset. Each version of a dataset is given a unique DOI, and dark archived with DANS (Data Archiving and Networking Services), ensuring that every dataset and citation will be valid in perpetuity. Datasets can be licensed under a range of open licences, and datasets are and will continue to be free access. Mendeley Data supports embargoing of data both generally and while undergoing peer review. It is funded by a subscription model for Academic \u0026 Government entities.","abbreviation":"Mendeley Data","data_curation":{"url":"https://data.mendeley.com/about","type":"manual","notes":"Digital Commons Data supports curation of datasets by institutional librarians and data stewards. Users can establish a custom metadata template with fields for all datasets."},"support_links":[{"url":"https://data.mendeley.com/faq#mendeley-data","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://data.mendeley.com/file-formats","name":"Supported File Formats","type":"Help documentation"},{"url":"https://service.elsevier.com/app/contact/supporthub/mendeley","name":"Contact Form","type":"Contact form"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://www.elsevier.com/solutions/data-monitor","name":"Data Monitor"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011868","name":"re3data:r3d100011868","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_015671","name":"SciCrunch:RRID:SCR_015671","portal":"SciCrunch"}],"data_access_condition":{"url":"https://data.mendeley.com/accessibility","type":"open","notes":"Open or restricted access to dataset contents; provides embargo support."},"resource_sustainability":{"url":"https://data.mendeley.com/mission","name":"Digital Commons Data Repository Platform"},"data_contact_information":"no","data_preservation_policy":{"url":"https://data.mendeley.com/archive-process","name":"Long-term preservation of data, all published datasets are stored with a third-party archive, Data Archiving and Network Services (DANS). Long-term access in the event of cease of operations is granted by DANS for free in perpetuity. Access to archival datasets are provided for free in perpetuity."},"data_deposition_condition":{"url":"https://www.mendeley.com/terms/#3_Acceptable_Use","type":"controlled","notes":"Requires authenticated registration for deposit (accepts institution Ringgold IDs). Total file size limit of 10 GB per dataset. Storage space per researcher is unlimited."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000935","bsg-d000935"],"name":"FAIRsharing record for: Mendeley Data","abbreviation":"Mendeley Data","url":"https://fairsharing.org/10.25504/FAIRsharing.3epmpp","doi":"10.25504/FAIRsharing.3epmpp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mendeley Data is a multidisciplinary, free-to-use open repository specialised for research data. Files of any format can be uploaded and shared with the research community following the FAIR data principles, up to a maximum of 10GB per dataset. Each version of a dataset is given a unique DOI, and dark archived with DANS (Data Archiving and Networking Services), ensuring that every dataset and citation will be valid in perpetuity. Datasets can be licensed under a range of open licences, and datasets are and will continue to be free access. Mendeley Data supports embargoing of data both generally and while undergoing peer review. It is funded by a subscription model for Academic \u0026 Government entities.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10819},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12925}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic","Data Visualization"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":733,"relation":"undefined"},{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":729,"relation":"undefined"},{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":730,"relation":"undefined"},{"licence_name":"CeCILL-B","licence_id":111,"licence_url":"https://cecill.info/licences/Licence_CeCILL-B_V1-en.html","link_id":741,"relation":"undefined"},{"licence_name":"CERN OHL","licence_id":118,"licence_url":"https://ohwr.org/cernohl","link_id":743,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":724,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":726,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":723,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":737,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":736,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":738,"relation":"undefined"},{"licence_name":"Mendeley Terms of Use","licence_id":504,"licence_url":"https://data.mendeley.com/terms/","link_id":721,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":728,"relation":"undefined"},{"licence_name":"Mozilla Public Licence Version 2.0 (MPL 2.0)","licence_id":524,"licence_url":"https://www.mozilla.org/en-US/MPL/2.0/","link_id":739,"relation":"undefined"},{"licence_name":"TAPR OHL","licence_id":771,"licence_url":"https://tapr.org/the-tapr-open-hardware-license/","link_id":744,"relation":"undefined"}],"grants":[{"id":9204,"fairsharing_record_id":2453,"organisation_id":850,"relation":"maintains","created_at":"2022-04-11T12:07:21.931Z","updated_at":"2022-04-11T12:07:21.931Z","grant_id":null,"is_lead":true,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2485","type":"fairsharing_records","attributes":{"created_at":"2017-07-18T21:03:56.000Z","updated_at":"2023-12-15T10:32:48.872Z","metadata":{"doi":"10.25504/FAIRsharing.szj2xw","name":"Health and Medical Care Archive","status":"ready","contacts":[{"contact_name":"Sara Britt","contact_email":"hmca@icpsr.umich.edu"}],"homepage":"https://www.icpsr.umich.edu/web/pages/HMCA/index.html","identifier":2485,"description":"The Health and Medical Care Archive (HMCA) is the data archive of the Robert Wood Johnson Foundation (RWJF), the largest philanthropy devoted exclusively to health and health care in the United States. Operated by the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan with funding from RWJF, HMCA preserves and disseminates data collected by selected research projects funded by RWJF and facilitates secondary analyses of the data. The data collections in HMCA primarily includes large-scale surveys of the American public about public health, attitudes towards health reform, and access to medical care; surveys of health care professionals and organizations, public health professionals, and nurses; evaluations of innovative programs for the delivery of health care, and many other topics and populations of interest. Our goal is to build a culture of health by increasing the understanding of health and health care and the factors that contribute to health in the United States through secondary analysis of RWJF-supported data collections.","abbreviation":"HMCA","data_curation":{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/deposit.html","type":"manual"},"support_links":[{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/faq.html","name":"Get Help","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/deposit-tips.html","name":"Tips for Preparing Data for Deposit","type":"Help documentation"}],"year_creation":1985,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010257","name":"re3data:r3d100010257","portal":"re3data"}],"data_access_condition":{"url":"https://www.icpsr.umich.edu/web/HMCA/cms/2048","type":"partially open","notes":"To access data files, users must login to ICPSR. Documentation files do not require users to log in. Restricted data access requires a specific application."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/deposit.html","type":"open","notes":"Self publication and curated data deposit are the two submission options."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000967","bsg-d000967"],"name":"FAIRsharing record for: Health and Medical Care Archive","abbreviation":"HMCA","url":"https://fairsharing.org/10.25504/FAIRsharing.szj2xw","doi":"10.25504/FAIRsharing.szj2xw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Health and Medical Care Archive (HMCA) is the data archive of the Robert Wood Johnson Foundation (RWJF), the largest philanthropy devoted exclusively to health and health care in the United States. Operated by the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan with funding from RWJF, HMCA preserves and disseminates data collected by selected research projects funded by RWJF and facilitates secondary analyses of the data. The data collections in HMCA primarily includes large-scale surveys of the American public about public health, attitudes towards health reform, and access to medical care; surveys of health care professionals and organizations, public health professionals, and nurses; evaluations of innovative programs for the delivery of health care, and many other topics and populations of interest. Our goal is to build a culture of health by increasing the understanding of health and health care and the factors that contribute to health in the United States through secondary analysis of RWJF-supported data collections.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12781}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Public Health","Health Science","Primary Health Care","Community Care"],"domains":["Substance abuse","Resource collection","Behavior","Curated information","Nurse","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2694,"fairsharing_record_id":2485,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:25:52.732Z","updated_at":"2021-09-30T09:25:52.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2695,"fairsharing_record_id":2485,"organisation_id":2454,"relation":"funds","created_at":"2021-09-30T09:25:52.774Z","updated_at":"2021-09-30T09:30:23.214Z","grant_id":688,"is_lead":false,"saved_state":{"id":2454,"name":"Robert Wood Johnson Foundation","grant":"75220","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2486","type":"fairsharing_records","attributes":{"created_at":"2017-07-18T21:25:13.000Z","updated_at":"2023-06-23T11:11:36.292Z","metadata":{"doi":"10.25504/FAIRsharing.v4mara","name":"Data Sharing for Demographic Research","status":"ready","contacts":[{"contact_name":"John Marcotte","contact_email":"jemarcot@umich.edu"}],"homepage":"http://dsdr.icpsr.umich.edu/","identifier":2486,"description":"Data Sharing for Demographic Research (DSDR) supports the demographic community by disseminating, archiving, and preserving data relevant for population studies. The mission of DSDR is to serve as a locus of information for researchers who collect, analyze, and distribute primary data as well as researchers who analyze secondary data. DSDR aims to foster interdisciplinary collaborations between Demography and other disciplines. DSDR is located within ICPSR and supported by the Population Dynamics Branch (PDB) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (U24 HD048404).","abbreviation":"DSDR","data_curation":{"url":"https://www.icpsr.umich.edu/web/pages/DSDR/deposit.html#after","type":"manual"},"support_links":[{"url":"http://www.icpsr.umich.edu/icpsrweb/content/DSDR/help.html","name":"Help FAQs and User Support","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010256","name":"re3data:r3d100010256","portal":"re3data"}],"data_access_condition":{"url":"https://www.icpsr.umich.edu/web/DSDR/cms/2010","type":"partially open","notes":"Some datasets have restricted availability for confidential reasons."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/DSDR/deposit.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000968","bsg-d000968"],"name":"FAIRsharing record for: Data Sharing for Demographic Research","abbreviation":"DSDR","url":"https://fairsharing.org/10.25504/FAIRsharing.v4mara","doi":"10.25504/FAIRsharing.v4mara","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Sharing for Demographic Research (DSDR) supports the demographic community by disseminating, archiving, and preserving data relevant for population studies. The mission of DSDR is to serve as a locus of information for researchers who collect, analyze, and distribute primary data as well as researchers who analyze secondary data. DSDR aims to foster interdisciplinary collaborations between Demography and other disciplines. DSDR is located within ICPSR and supported by the Population Dynamics Branch (PDB) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (U24 HD048404).","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10820},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12782}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Social Science","Population Dynamics","Data Management"],"domains":["Behavior","Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2696,"fairsharing_record_id":2486,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:25:52.815Z","updated_at":"2021-09-30T09:25:52.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2698,"fairsharing_record_id":2486,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:52.887Z","updated_at":"2021-09-30T09:29:53.196Z","grant_id":451,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"U24 HD048404","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9167,"fairsharing_record_id":2486,"organisation_id":2347,"relation":"funds","created_at":"2022-04-11T12:07:18.840Z","updated_at":"2022-04-11T12:07:18.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":2347,"name":"Population Dynamics Branch, The Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2487","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T09:30:51.000Z","updated_at":"2023-12-15T10:32:55.073Z","metadata":{"doi":"10.25504/FAIRsharing.k297hk","name":"Ocean Biodiversity Information System IPT","status":"ready","contacts":[{"contact_name":"Ward Appeltans","contact_email":"w.appeltans@unesco.org"}],"homepage":"http://ipt.vliz.be/","identifier":2487,"description":"OBIS provides data hosting and helpdesk support to publishers of marine data around the globe. EurOBIS/Flanders Marine Institute (VLIZ) hosts multiple IPT installations on behalf of various OBIS Nodes. Currently, there are more than 20 OBIS Nodes around the world connecting 500 institutions from 56 countries.","abbreviation":"OBIS IPT","data_curation":{"type":"none"},"support_links":[{"url":"http://www.iobis.org/feed.xml","type":"Blog/News"},{"url":"https://twitter.com/obisnetwork","name":"@obisnetwork","type":"Twitter"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000969","bsg-d000969"],"name":"FAIRsharing record for: Ocean Biodiversity Information System IPT","abbreviation":"OBIS IPT","url":"https://fairsharing.org/10.25504/FAIRsharing.k297hk","doi":"10.25504/FAIRsharing.k297hk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OBIS provides data hosting and helpdesk support to publishers of marine data around the globe. EurOBIS/Flanders Marine Institute (VLIZ) hosts multiple IPT installations on behalf of various OBIS Nodes. Currently, there are more than 20 OBIS Nodes around the world connecting 500 institutions from 56 countries.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11668}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Marine environment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2201,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2198,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2200,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2199,"relation":"undefined"}],"grants":[{"id":2699,"fairsharing_record_id":2487,"organisation_id":2207,"relation":"maintains","created_at":"2021-09-30T09:25:52.924Z","updated_at":"2021-09-30T09:25:52.924Z","grant_id":null,"is_lead":false,"saved_state":{"id":2207,"name":"OBIS","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2488","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T18:07:55.000Z","updated_at":"2024-04-09T08:52:01.662Z","metadata":{"doi":"10.25504/FAIRsharing.6bvac4","name":"China Data Center","status":"deprecated","contacts":[{"contact_name":"Ling Ling Zhang","contact_email":"llzhang@umich.edu"}],"homepage":"http://chinadatacenter.org/","citations":[],"identifier":2488,"description":"Founded in 1997, the China Data Center was designed to serve as an international center for advancing the study and understanding of China. A primary goal of the Center was the integration of historical, social and natural science data in a geographic information system. Its missions were: to support research in the human and natural components of local, regional and global change; to promote quantitative research on China; to promote collaborative research in spatial studies; and to promote the use and sharing of China data in teaching and research. The center was partnered with several Chinese government agencies and companies in distributing China statistical data and publications and providing data services outside of China. Building upon other efforts, including the China in Time and Space project, the Center brought together data inaccessible to many scholars because of format and language difficulty. A fundamental role of the Center was the development of cooperative endeavors with China, with other universities, and institutions around the world.","abbreviation":"CDC","data_curation":{"type":"not found"},"year_creation":1997,"data_versioning":"not found","deprecation_date":"2018-10-11","deprecation_reason":"As stated in an announcement on the CDC homepage, the CDC website and associated CDC websites are no longer available. Following a comprehensive internal review, the ICPSR and the University of Michigan have determined that they will no longer host the CDC and its related websites and tools. CDC customers with subscription periods running beyond September 2018 will be contacted in the coming weeks to begin the process of refunding prepaid (prorated) amounts. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000970","bsg-d000970"],"name":"FAIRsharing record for: China Data Center","abbreviation":"CDC","url":"https://fairsharing.org/10.25504/FAIRsharing.6bvac4","doi":"10.25504/FAIRsharing.6bvac4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Founded in 1997, the China Data Center was designed to serve as an international center for advancing the study and understanding of China. A primary goal of the Center was the integration of historical, social and natural science data in a geographic information system. Its missions were: to support research in the human and natural components of local, regional and global change; to promote quantitative research on China; to promote collaborative research in spatial studies; and to promote the use and sharing of China data in teaching and research. The center was partnered with several Chinese government agencies and companies in distributing China statistical data and publications and providing data services outside of China. Building upon other efforts, including the China in Time and Space project, the Center brought together data inaccessible to many scholars because of format and language difficulty. A fundamental role of the Center was the development of cooperative endeavors with China, with other universities, and institutions around the world.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social Science"],"domains":["Geographical location"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["China","United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2489","type":"fairsharing_records","attributes":{"created_at":"2017-07-24T12:59:31.000Z","updated_at":"2023-12-15T10:32:34.448Z","metadata":{"doi":"10.25504/FAIRsharing.5nnxqn","name":"eyeGENE: The National Ophthalmic Genotyping and Phenotyping Network","status":"ready","contacts":[{"contact_name":"Kerry Goetz","contact_email":"goetzke@nei.nih.gov","contact_orcid":"0000-0002-9821-7704"}],"homepage":"https://eyegene.nih.gov","identifier":2489,"description":"The National Ophthalmic Disease Genotyping and Phenotyping Network (eyeGENE®) is a genomic medicine initiative created by the National Eye Institute (NEI), part of the National Institutes of Health (NIH), in partnership with clinics and laboratories across the vision research community. The core mission of eyeGENE® is to facilitate research into the causes and mechanisms of rare inherited eye diseases and accelerate pathways to treatments. eyeGENE® was designed to achieve this goal through clinical and molecular diagnosis coupled with granting controlled access to clinical and genetic information in a data repository, to DNA in a biorepository, and to individuals consented to participate in research and clinical trials. The eyeGENE® Network currently includes a Coordinating Center at the NEI, CLIA†-approved molecular genetic testing laboratories around the Nation, a patient registry, controlled-access centralized biorepository for DNA, and a curated de-identified genotype / phenotype database. These components stimulate patient and eye health care provider interest in genetics-based clinical care and generate involvement in ophthalmic research, thereby accelerating vision research and treatment development for these diseases.","abbreviation":"eyeGENE","data_curation":{"url":"https://eyegene.nih.gov/how-to/contribute-data","type":"manual/automated","notes":"Data validation tool is used to ensure data quality."},"support_links":[{"url":"https://eyegene.nih.gov/news","name":"News","type":"Blog/News"},{"url":"https://eyegene.nih.gov/about/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://eyegene.nih.gov/how-to/get-an-account","name":"How to get an account","type":"Help documentation"},{"url":"https://eyegene.nih.gov/how-to/access-data","name":"How to access data","type":"Help documentation"},{"url":"https://eyegene.nih.gov/news/webinars","name":"Webinars","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012836","name":"re3data:r3d100012836","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004523","name":"SciCrunch:RRID:SCR_004523","portal":"SciCrunch"}],"data_access_condition":{"url":"https://eyegene.nih.gov/how-to/access-data","type":"controlled","notes":"Log in and data access request(s) are required."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://eyegene.nih.gov/how-to/contribute-data","type":"controlled","notes":"Log in and data submission request are required."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000971","bsg-d000971"],"name":"FAIRsharing record for: eyeGENE: The National Ophthalmic Genotyping and Phenotyping Network","abbreviation":"eyeGENE","url":"https://fairsharing.org/10.25504/FAIRsharing.5nnxqn","doi":"10.25504/FAIRsharing.5nnxqn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Ophthalmic Disease Genotyping and Phenotyping Network (eyeGENE®) is a genomic medicine initiative created by the National Eye Institute (NEI), part of the National Institutes of Health (NIH), in partnership with clinics and laboratories across the vision research community. The core mission of eyeGENE® is to facilitate research into the causes and mechanisms of rare inherited eye diseases and accelerate pathways to treatments. eyeGENE® was designed to achieve this goal through clinical and molecular diagnosis coupled with granting controlled access to clinical and genetic information in a data repository, to DNA in a biorepository, and to individuals consented to participate in research and clinical trials. The eyeGENE® Network currently includes a Coordinating Center at the NEI, CLIA†-approved molecular genetic testing laboratories around the Nation, a patient registry, controlled-access centralized biorepository for DNA, and a curated de-identified genotype / phenotype database. These components stimulate patient and eye health care provider interest in genetics-based clinical care and generate involvement in ophthalmic research, thereby accelerating vision research and treatment development for these diseases.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12783}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Medicine","Ophthalmology","Human Genetics","Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2682,"pubmed_id":23662816,"title":"eyeGENE(R): a vision community resource facilitating patient care and paving the path for research through molecular diagnostic testing.","year":2013,"url":"http://doi.org/10.1111/cge.12193","authors":"Blain D,Goetz KE,Ayyagari R,Tumminia SJ","journal":"Clin Genet","doi":"10.1111/cge.12193","created_at":"2021-09-30T08:27:29.372Z","updated_at":"2021-09-30T08:27:29.372Z"},{"id":2683,"pubmed_id":19534233,"title":"EyeGENE--National Ophthalmic Disease Genotyping Network.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19534233","authors":"No authors listed","journal":"Insight","doi":null,"created_at":"2021-09-30T08:27:29.487Z","updated_at":"2021-09-30T11:28:37.484Z"},{"id":2684,"pubmed_id":22847030,"title":"eyeGENE(R): a novel approach to combine clinical testing and researching genetic ocular disease.","year":2012,"url":"http://doi.org/10.1097/ICU.0b013e32835715c9","authors":"Goetz KE,Reeves MJ,Tumminia SJ,Brooks BP","journal":"Curr Opin Ophthalmol","doi":"10.1097/ICU.0b013e32835715c9","created_at":"2021-09-30T08:27:29.737Z","updated_at":"2021-09-30T08:27:29.737Z"}],"licence_links":[],"grants":[{"id":2700,"fairsharing_record_id":2489,"organisation_id":2112,"relation":"maintains","created_at":"2021-09-30T09:25:52.963Z","updated_at":"2021-09-30T09:25:52.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2474","type":"fairsharing_records","attributes":{"created_at":"2017-07-04T09:14:23.000Z","updated_at":"2023-12-15T10:30:54.606Z","metadata":{"doi":"10.25504/FAIRsharing.7tx9zj","name":"Sweden IPT - GBIF Sweden","status":"ready","contacts":[{"contact_name":"Anders Telenius","contact_email":"anders.telenius@nrm.se","contact_orcid":"0000-0003-4477-1117"}],"homepage":"http://www.gbif.se/ipt","identifier":2474,"description":"GBIF-Sweden serves researchers, public authorities and others interested in biodiversity as the Swedish hub for information and international exchange of data on the biological diversity of the world. The ambition of GBIF-Sweden is to continuously harvest and publicly present up-to-date biodiversity data hosted by Swedish institutions and government authorities to stakeholders around the world through the international GBIF portal, in accordance with Swedish commitments under the international GBIF agreement. Where appropriate, GBIF-Sweden also aims to accumulate information about Swedish biodiversity kept elsewhere in the world and provide it to Swedish stakeholders in an appropriate form. Finally, GBIF-Sweden aims to play a leading role in stimulating digitization efforts aimed at increasing the quantity and quality of content provided to GBIF from Swedish institutions.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"gbif@nrm.se","name":"GBIF Sweden","type":"Support email"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"},{"url":"https://twitter.com/gbifsweden","name":"@gbifsweden","type":"Twitter"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000956","bsg-d000956"],"name":"FAIRsharing record for: Sweden IPT - GBIF Sweden","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7tx9zj","doi":"10.25504/FAIRsharing.7tx9zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF-Sweden serves researchers, public authorities and others interested in biodiversity as the Swedish hub for information and international exchange of data on the biological diversity of the world. The ambition of GBIF-Sweden is to continuously harvest and publicly present up-to-date biodiversity data hosted by Swedish institutions and government authorities to stakeholders around the world through the international GBIF portal, in accordance with Swedish commitments under the international GBIF agreement. Where appropriate, GBIF-Sweden also aims to accumulate information about Swedish biodiversity kept elsewhere in the world and provide it to Swedish stakeholders in an appropriate form. Finally, GBIF-Sweden aims to play a leading role in stimulating digitization efforts aimed at increasing the quantity and quality of content provided to GBIF from Swedish institutions.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11661}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1556,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1238,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1554,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1553,"relation":"undefined"}],"grants":[{"id":2681,"fairsharing_record_id":2474,"organisation_id":1096,"relation":"maintains","created_at":"2021-09-30T09:25:52.140Z","updated_at":"2021-09-30T09:25:52.140Z","grant_id":null,"is_lead":false,"saved_state":{"id":1096,"name":"GBIF Sweden","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2475","type":"fairsharing_records","attributes":{"created_at":"2017-07-05T12:32:59.000Z","updated_at":"2023-12-15T10:30:10.761Z","metadata":{"doi":"10.25504/FAIRsharing.y2vm4r","name":"Taiwan Biodiversity Information Facility IPT - GBIF Taiwan","status":"ready","contacts":[{"contact_name":"Kun-Chi Lai","contact_email":"east0122@gate.sinica.edu.tw"}],"homepage":"http://ipt.taibif.tw/","identifier":2475,"description":"TaiBIF (Taiwan Biodiversity Information Facility) is the Taiwan portal of GBIF. Although Taiwan’s land is not spacious, it possesses extraordinarily abundant biodiversity resources and many endemic species. TaiBIF is in charge of integrating Taiwan's biodiversity information, including lists of species and local experts, illustrations of species, introduction of endemic species and invasive species, Taiwan's terrestrial and marine organisms, biodiversity literature, geographical and environmental information, information about relevant institutions, organizations, projects, and observation spots, the Catalog of Life (a list of Taiwanese endemic species), and publications.","abbreviation":"TaiBIF IPT - GBIF Taiwan","data_curation":{"type":"manual"},"support_links":[{"url":"yuhuangwang@gmail.com","name":"Yu-Huang Wang","type":"Support email"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011310","name":"re3data:r3d100011310","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000957","bsg-d000957"],"name":"FAIRsharing record for: Taiwan Biodiversity Information Facility IPT - GBIF Taiwan","abbreviation":"TaiBIF IPT - GBIF Taiwan","url":"https://fairsharing.org/10.25504/FAIRsharing.y2vm4r","doi":"10.25504/FAIRsharing.y2vm4r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TaiBIF (Taiwan Biodiversity Information Facility) is the Taiwan portal of GBIF. Although Taiwan’s land is not spacious, it possesses extraordinarily abundant biodiversity resources and many endemic species. TaiBIF is in charge of integrating Taiwan's biodiversity information, including lists of species and local experts, illustrations of species, introduction of endemic species and invasive species, Taiwan's terrestrial and marine organisms, biodiversity literature, geographical and environmental information, information about relevant institutions, organizations, projects, and observation spots, the Catalog of Life (a list of Taiwanese endemic species), and publications.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11662}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":90,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":86,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":89,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":87,"relation":"undefined"}],"grants":[{"id":2682,"fairsharing_record_id":2475,"organisation_id":2700,"relation":"maintains","created_at":"2021-09-30T09:25:52.182Z","updated_at":"2021-09-30T09:25:52.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":2700,"name":"Taiwan Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2479","type":"fairsharing_records","attributes":{"created_at":"2017-07-05T12:52:14.000Z","updated_at":"2024-06-04T09:15:43.302Z","metadata":{"doi":"10.25504/FAIRsharing.x4zrrg","name":"VertNet IPT","status":"ready","contacts":[{"contact_name":"Laura Russell","contact_email":"larussell@vertnet.org"}],"homepage":"https://ipt.vertnet.org/","citations":[],"identifier":2479,"description":"VertNet uses the Integrated Publishing Toolkit (IPT) to host published biodiversity data on the VertNet IPT for its participating institutions. The IPT is a free, open source web application designed to publish primary occurrence data, species checklists and taxonomies, and associated dataset metadata available for use on the Internet. Data are published as web-based Darwin Core Archives (simple ZIP files that contain tab-delimited or comma-separated text files organized using the Darwin Core Standard).","abbreviation":"VertNet IPT","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/gbif/ipt/issues","name":"Report a bug","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000961","bsg-d000961"],"name":"FAIRsharing record for: VertNet IPT","abbreviation":"VertNet IPT","url":"https://fairsharing.org/10.25504/FAIRsharing.x4zrrg","doi":"10.25504/FAIRsharing.x4zrrg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VertNet uses the Integrated Publishing Toolkit (IPT) to host published biodiversity data on the VertNet IPT for its participating institutions. The IPT is a free, open source web application designed to publish primary occurrence data, species checklists and taxonomies, and associated dataset metadata available for use on the Internet. Data are published as web-based Darwin Core Archives (simple ZIP files that contain tab-delimited or comma-separated text files organized using the Darwin Core Standard).","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11666}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1020,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1015,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1019,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1017,"relation":"undefined"}],"grants":[{"id":2686,"fairsharing_record_id":2479,"organisation_id":3182,"relation":"maintains","created_at":"2021-09-30T09:25:52.340Z","updated_at":"2021-09-30T09:25:52.340Z","grant_id":null,"is_lead":false,"saved_state":{"id":3182,"name":"VertNet","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2480","type":"fairsharing_records","attributes":{"created_at":"2017-07-13T01:56:29.000Z","updated_at":"2024-05-01T15:27:19.412Z","metadata":{"doi":"10.25504/FAIRsharing.tfj7gt","name":"EPA Comptox Chemicals Dashboard","status":"ready","contacts":[{"contact_name":"Antony Williams","contact_email":"williams.antony@epa.gov","contact_orcid":"0000-0002-2668-4821"}],"homepage":"https://comptox.epa.gov/dashboard","citations":[{"doi":"10.1186/s13321-017-0247-6","pubmed_id":null,"publication_id":4272}],"identifier":2480,"description":"The foundation of chemical safety testing relies on chemistry information such as high-quality chemical structures and physical chemical properties. This information is used by scientists to predict the potential health risks of chemicals. The Dashboard is part of a suite of dashboards developed by EPA to help evaluate the safety of chemicals. It provides access to a variety of information on over 700,000 chemicals currently in use. Within the Dashboard, users can access chemical structures, experimental and predicted physicochemical and toxicity data, and additional links to relevant websites and applications. It maps curated physicochemical property data associated with chemical substances to their corresponding chemical structures. These data are compiled from sources including the EPA’s computational toxicology research databases, and public domain databases such as the National Center for Biotechnology Information’s PubChem database.","abbreviation":null,"data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://comptox.epa.gov/dashboard/contact_us","name":"Contact Us","type":"Contact form"},{"url":"https://www.epa.gov/comptox-tools/comptox-chemicals-dashboard-help","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"https://itunes.apple.com/us/app/comptox-mobile/id1179517689?mt=8","name":"CompTox Mobile 1"},{"url":"https://itunes.apple.com/us/app/m-z-epa-comptox/id1148436331?mt=8","name":"m/Z EPA CompTox 1"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000962","bsg-d000962"],"name":"FAIRsharing record for: EPA Comptox Chemicals Dashboard","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tfj7gt","doi":"10.25504/FAIRsharing.tfj7gt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The foundation of chemical safety testing relies on chemistry information such as high-quality chemical structures and physical chemical properties. This information is used by scientists to predict the potential health risks of chemicals. The Dashboard is part of a suite of dashboards developed by EPA to help evaluate the safety of chemicals. It provides access to a variety of information on over 700,000 chemicals currently in use. Within the Dashboard, users can access chemical structures, experimental and predicted physicochemical and toxicity data, and additional links to relevant websites and applications. It maps curated physicochemical property data associated with chemical substances to their corresponding chemical structures. These data are compiled from sources including the EPA’s computational toxicology research databases, and public domain databases such as the National Center for Biotechnology Information’s PubChem database.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11787},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16492}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Toxicology","Chemistry"],"domains":["Environmental contaminant","Spectroscopy","Bioactivity","Exposure"],"taxonomies":["Not applicable"],"user_defined_tags":["Physical properties"],"countries":["United States"],"publications":[{"id":35,"pubmed_id":26812473,"title":"Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring.","year":2016,"url":"http://doi.org/S0160-4120(15)30111-2","authors":"Rager JE,Strynar MJ,Liang S,McMahen RL,Richard AM,Grulke CM,Wambaugh JF,Isaacs KK,Judson R,Williams AJ,Sobus JR","journal":"Environ Int","doi":"10.1016/j.envint.2015.12.008","created_at":"2021-09-30T08:22:24.088Z","updated_at":"2021-09-30T08:22:24.088Z"},{"id":2149,"pubmed_id":28475325,"title":"Open Science for Identifying \"Known Unknown\" Chemicals.","year":2017,"url":"http://doi.org/10.1021/acs.est.7b01908","authors":"Schymanski EL,Williams AJ","journal":"Environ Sci Technol","doi":"10.1021/acs.est.7b01908","created_at":"2021-09-30T08:26:22.169Z","updated_at":"2021-09-30T08:26:22.169Z"},{"id":2157,"pubmed_id":27367298,"title":"ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology.","year":2016,"url":"http://doi.org/10.1021/acs.chemrestox.6b00135","authors":"Richard AM,Judson RS,Houck KA,Grulke CM,Volarath P,Thillainadarajah I,Yang C,Rathman J,Martin MT,Wambaugh JF,Knudsen TB,Kancherla J,Mansouri K,Patlewicz G,Williams AJ,Little SB,Crofton KM,Thomas RS","journal":"Chem Res Toxicol","doi":"10.1021/acs.chemrestox.6b00135","created_at":"2021-09-30T08:26:23.175Z","updated_at":"2021-09-30T08:26:23.175Z"},{"id":2178,"pubmed_id":27885862,"title":"An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modelling.","year":2016,"url":"http://doi.org/10.1080/1062936X.2016.1253611","authors":"Mansouri K,Grulke CM,Richard AM,Judson RS,Williams AJ","journal":"SAR QSAR Environ Res","doi":"10.1080/1062936X.2016.1253611","created_at":"2021-09-30T08:26:25.484Z","updated_at":"2021-09-30T08:26:25.484Z"},{"id":2181,"pubmed_id":27987027,"title":"Identifying known unknowns using the US EPA's CompTox Chemistry Dashboard.","year":2016,"url":"http://doi.org/10.1007/s00216-016-0139-z","authors":"McEachran AD,Sobus JR,Williams AJ","journal":"Anal Bioanal Chem","doi":"10.1007/s00216-016-0139-z","created_at":"2021-09-30T08:26:25.898Z","updated_at":"2021-09-30T08:26:25.898Z"},{"id":4272,"pubmed_id":null,"title":"The CompTox Chemistry Dashboard: a community data resource for environmental chemistry","year":2017,"url":"http://dx.doi.org/10.1186/s13321-017-0247-6","authors":"Williams, Antony J.; Grulke, Christopher M.; Edwards, Jeff; McEachran, Andrew D.; Mansouri, Kamel; Baker, Nancy C.; Patlewicz, Grace; Shah, Imran; Wambaugh, John F.; Judson, Richard S.; Richard, Ann M.; ","journal":"J Cheminform","doi":"10.1186/s13321-017-0247-6","created_at":"2024-05-01T15:25:53.393Z","updated_at":"2024-05-01T15:25:53.393Z"}],"licence_links":[],"grants":[{"id":2687,"fairsharing_record_id":2480,"organisation_id":2950,"relation":"maintains","created_at":"2021-09-30T09:25:52.382Z","updated_at":"2024-05-01T15:26:03.684Z","grant_id":null,"is_lead":true,"saved_state":{"id":2950,"name":"United States Environmental Protection Agency","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2482","type":"fairsharing_records","attributes":{"created_at":"2017-07-14T04:39:40.000Z","updated_at":"2024-03-20T13:35:37.728Z","metadata":{"doi":"10.25504/FAIRsharing.bkxpmp","name":"Xenobiotics Metabolism Database","status":"deprecated","contacts":[{"contact_name":"Ola Spjuth","contact_email":"ola.spjuth@farmbio.uu.se","contact_orcid":"0000-0002-8083-2864"}],"homepage":"http://www.xmetdb.org/","citations":[],"identifier":2482,"description":"XMetDB is an open access and open source database and web interface for the submission and retrieval of experimental metabolite data for drugs and other xenobiotics. It will also feature an open API for access to the database.","abbreviation":"XMetDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.xmetdb.org/wiki/How_to_enter_experimental_data","type":"Help documentation"},{"url":"http://www.xmetdb.org/wiki/Export_of_data","type":"Help documentation"},{"url":"http://www.xmetdb.org/wiki/Saved_searches_and_alerts","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://www.xmetdb.org/wiki/API","name":"API"}],"deprecation_date":"2024-03-20","deprecation_reason":"This resource is no longer available at the stated homepage and a replacement homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000964","bsg-d000964"],"name":"FAIRsharing record for: Xenobiotics Metabolism Database","abbreviation":"XMetDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bkxpmp","doi":"10.25504/FAIRsharing.bkxpmp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XMetDB is an open access and open source database and web interface for the submission and retrieval of experimental metabolite data for drugs and other xenobiotics. It will also feature an open API for access to the database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biochemistry","Life Science","Biomedical Science"],"domains":["Drug metabolic process"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Bulgaria","Netherlands","Sweden"],"publications":[{"id":2242,"pubmed_id":27651835,"title":"XMetDB: an open access database for xenobiotic metabolism.","year":2016,"url":"http://doi.org/10.1186/s13321-016-0161-3","authors":"Spjuth O,Rydberg P,Willighagen EL,Evelo CT,Jeliazkova N","journal":"J Cheminform","doi":"10.1186/s13321-016-0161-3","created_at":"2021-09-30T08:26:32.726Z","updated_at":"2021-09-30T08:26:32.726Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":94,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":911,"relation":"undefined"}],"grants":[{"id":2691,"fairsharing_record_id":2482,"organisation_id":1309,"relation":"maintains","created_at":"2021-09-30T09:25:52.611Z","updated_at":"2021-09-30T09:25:52.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":1309,"name":"IDEAconsult, Sofia, Bulgaria","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2689,"fairsharing_record_id":2482,"organisation_id":2989,"relation":"maintains","created_at":"2021-09-30T09:25:52.541Z","updated_at":"2021-09-30T09:25:52.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":2989,"name":"Universiteit Maastricht, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2690,"fairsharing_record_id":2482,"organisation_id":702,"relation":"maintains","created_at":"2021-09-30T09:25:52.579Z","updated_at":"2021-09-30T09:25:52.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":702,"name":"Department of Drug Design and Pharmacology, University of Copenhagen","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2692,"fairsharing_record_id":2482,"organisation_id":733,"relation":"maintains","created_at":"2021-09-30T09:25:52.653Z","updated_at":"2021-09-30T09:25:52.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":733,"name":"Department of Pharmaceutical Biosciences, Uppsala University","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2483","type":"fairsharing_records","attributes":{"created_at":"2017-07-18T11:40:46.000Z","updated_at":"2023-12-15T10:31:44.678Z","metadata":{"doi":"10.25504/FAIRsharing.ewh295","name":"iDigBio IPT","status":"ready","contacts":[{"contact_name":"Joanna McCaffrey","contact_email":"jmccaffrey@flmnh.ufl.edu"}],"homepage":"http://ipt.idigbio.org","identifier":2483,"description":"The iDigBio IPT is a website that hosts biodiversity data and serves it in a standardised format, allowing aggregators such as iDigBio to index it into their portals whenever the data is applicable to that portal.","abbreviation":"iDigBio IPT","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/how-to-publish","type":"controlled","notes":"The submitted datasets must be affiliated with an organization that is registered with GBIF."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000965","bsg-d000965"],"name":"FAIRsharing record for: iDigBio IPT","abbreviation":"iDigBio IPT","url":"https://fairsharing.org/10.25504/FAIRsharing.ewh295","doi":"10.25504/FAIRsharing.ewh295","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The iDigBio IPT is a website that hosts biodiversity data and serves it in a standardised format, allowing aggregators such as iDigBio to index it into their portals whenever the data is applicable to that portal.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11667}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1036,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1021,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1028,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1027,"relation":"undefined"}],"grants":[{"id":2693,"fairsharing_record_id":2483,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:52.691Z","updated_at":"2021-09-30T09:25:52.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2491","type":"fairsharing_records","attributes":{"created_at":"2017-09-05T08:59:58.000Z","updated_at":"2023-06-22T17:13:55.846Z","metadata":{"doi":"10.25504/FAIRsharing.anxqkv","name":"e-ReColNat","status":"ready","contacts":[{"contact_email":"contact@recolnat.org"}],"homepage":"https://explore.recolnat.org","citations":[],"identifier":2491,"description":"e-ReColNat is an image repository consisting of species occurrence records through time, and aims to provide a source of data for additional research in areas such as biodiversity surveying, modelling global change.","abbreviation":"e-ReColNat","data_curation":{"type":"manual"},"support_links":[{"url":"https://explore.recolnat.org/demos","name":"Tutorials and demos","type":"Training documentation"},{"url":"https://explore.recolnat.org/feedback","name":"Comments and Feedback","type":"Contact form"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"https://lab.recolnat.org","name":"Virtual lab 0.9.3beta"},{"url":"http://lesherbonautes.mnhn.fr/","name":"Les Herbonautes v2"},{"url":"https://www.recolnat.org/en/annotate","name":"Annotate Tool"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000973","bsg-d000973"],"name":"FAIRsharing record for: e-ReColNat","abbreviation":"e-ReColNat","url":"https://fairsharing.org/10.25504/FAIRsharing.anxqkv","doi":"10.25504/FAIRsharing.anxqkv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: e-ReColNat is an image repository consisting of species occurrence records through time, and aims to provide a source of data for additional research in areas such as biodiversity surveying, modelling global change.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Paleontology","Biodiversity","Natural History"],"domains":["Geographical location"],"taxonomies":["All"],"user_defined_tags":["Geological mapping"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":2703,"fairsharing_record_id":2491,"organisation_id":2410,"relation":"maintains","created_at":"2021-09-30T09:25:53.057Z","updated_at":"2021-09-30T09:25:53.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":2410,"name":"RECOLNAT","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2492","type":"fairsharing_records","attributes":{"created_at":"2017-09-07T03:53:06.000Z","updated_at":"2023-12-15T10:30:23.420Z","metadata":{"doi":"10.25504/FAIRsharing.ekdqe5","name":"iReceptor Public Archive","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://www.ireceptor.org/","citations":[],"identifier":2492,"description":"A data repository for the storage and sharing of Adaptive Immune Receptor Repertoire data. Primary public repository for the iReceptor Platform and Scientific Gateway.","abbreviation":"IPA","data_curation":{"url":"http://ireceptor.irmacs.sfu.ca/curation","type":"manual/automated"},"support_links":[{"url":"http://www.ireceptor.org/news","name":"News","type":"Blog/News"},{"url":"support@ireceptor.org","name":"iReceptor Helpdesk","type":"Support email"},{"url":"http://www.ireceptor.org/platform/doc","name":"iReceptor Documentation","type":"Help documentation"},{"url":"http://www.ireceptor.org/curation","name":"Curation at iReceptor","type":"Help documentation"},{"url":"http://www.ireceptor.org/about","name":"About iReceptor","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","associated_tools":[{"url":"http://www.ireceptor.org/platform/doc","name":"DB Service API Documentation"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012732","name":"re3data:r3d100012732","portal":"re3data"}],"data_access_condition":{"url":"https://gateway.ireceptor.org/login","type":"open","notes":"Registration required"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000974","bsg-d000974"],"name":"FAIRsharing record for: iReceptor Public Archive","abbreviation":"IPA","url":"https://fairsharing.org/10.25504/FAIRsharing.ekdqe5","doi":"10.25504/FAIRsharing.ekdqe5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A data repository for the storage and sharing of Adaptive Immune Receptor Repertoire data. Primary public repository for the iReceptor Platform and Scientific Gateway.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11825},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12329},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12785}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Immunology","Virology","Life Science","Epidemiology"],"domains":["B cell receptor complex","T cell receptor complex","Antibody","Receptor","Curated information","Literature curation"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Canada"],"publications":[{"id":2539,"pubmed_id":29944754,"title":"iReceptor: A platform for querying and analyzing antibody/B‐cell and T‐cell receptor repertoire data across federated repositories","year":2018,"url":"http://doi.org/10.1111/imr.12666","authors":"Brian D. Corrie, Nishanth Marthandan, Bojan Zimonja, Jerome Jaglale, Yang Zhou, Emily Barr, Nicole Knoetze, Frances M. W. Breden, Scott Christley, Jamie K. Scott, Lindsay G. Cowell, Felix Breden","journal":"Immunological Reviews","doi":"10.1111/imr.12666","created_at":"2021-09-30T08:27:11.404Z","updated_at":"2021-09-30T08:27:11.404Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2122,"relation":"undefined"}],"grants":[{"id":2705,"fairsharing_record_id":2492,"organisation_id":1550,"relation":"maintains","created_at":"2021-09-30T09:25:53.134Z","updated_at":"2021-09-30T09:25:53.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":1550,"name":"iReceptor, Simon Fraser University, Vancouver, B.C., Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2708,"fairsharing_record_id":2492,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:53.216Z","updated_at":"2021-09-30T09:25:53.216Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2704,"fairsharing_record_id":2492,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:53.095Z","updated_at":"2021-09-30T09:25:53.095Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2706,"fairsharing_record_id":2492,"organisation_id":364,"relation":"funds","created_at":"2021-09-30T09:25:53.161Z","updated_at":"2021-09-30T09:25:53.161Z","grant_id":null,"is_lead":false,"saved_state":{"id":364,"name":"CANARIE Network Enabled Platforms Program","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2707,"fairsharing_record_id":2492,"organisation_id":314,"relation":"funds","created_at":"2021-09-30T09:25:53.185Z","updated_at":"2021-09-30T09:25:53.185Z","grant_id":null,"is_lead":false,"saved_state":{"id":314,"name":"British Columbia Knowledge Development Fund (BCKDF)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2709,"fairsharing_record_id":2492,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:25:53.258Z","updated_at":"2021-09-30T09:25:53.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbGNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--869cb8f65eb5cf25634ab49bbfa05f8d303fe014/IReceptor_1x.png?disposition=inline","exhaustive_licences":false}},{"id":"2469","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T18:13:49.000Z","updated_at":"2023-12-15T10:29:59.346Z","metadata":{"doi":"10.25504/FAIRsharing.gdj215","name":"Madagascar Biodiversity Information Facility IPT - GBIF France","status":"uncertain","contacts":[{"contact_name":"Andry Rakotomanjaka","contact_email":"andry@madbif.mg"}],"homepage":"http://ipt.madbif.mg/","citations":[],"identifier":2469,"description":"GBIF France hosts this data repository on behalf of Madagascar Biodiversity Information Facility (MadBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Most data collected within Madagascar is not documented and is only accessible to the person/team involved in the project for which the data has been collected. Moreover, there is a lack of data policy within the institutions of Madagascar. As a consequence, data knowledge is linked to individuals and disappears with them. The only public information that can be found is the information located in herbaria, museums, and various literature. MadBIF aims to promote and support publication of biodiversity data by data holders. Note from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because it appears to be insecure. We are making every effort to engage with the resource owners to understand if it is a temporary issue.","abbreviation":"MadBIF IPT - GBIF France","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.madbif.mg","name":"MadBIF","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000951","bsg-d000951"],"name":"FAIRsharing record for: Madagascar Biodiversity Information Facility IPT - GBIF France","abbreviation":"MadBIF IPT - GBIF France","url":"https://fairsharing.org/10.25504/FAIRsharing.gdj215","doi":"10.25504/FAIRsharing.gdj215","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of Madagascar Biodiversity Information Facility (MadBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Most data collected within Madagascar is not documented and is only accessible to the person/team involved in the project for which the data has been collected. Moreover, there is a lack of data policy within the institutions of Madagascar. As a consequence, data knowledge is linked to individuals and disappears with them. The only public information that can be found is the information located in herbaria, museums, and various literature. MadBIF aims to promote and support publication of biodiversity data by data holders. Note from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because it appears to be insecure. We are making every effort to engage with the resource owners to understand if it is a temporary issue.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11656}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Madagascar"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1150,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":399,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1170,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1164,"relation":"undefined"}],"grants":[{"id":2672,"fairsharing_record_id":2469,"organisation_id":474,"relation":"funds","created_at":"2021-09-30T09:25:51.874Z","updated_at":"2021-09-30T09:25:51.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":474,"name":"Centre National de Recherches sur l'Environnement (CNRE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2670,"fairsharing_record_id":2469,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.825Z","updated_at":"2021-09-30T09:25:51.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2671,"fairsharing_record_id":2469,"organisation_id":474,"relation":"maintains","created_at":"2021-09-30T09:25:51.851Z","updated_at":"2021-09-30T09:25:51.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":474,"name":"Centre National de Recherches sur l'Environnement (CNRE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2470","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T18:24:32.000Z","updated_at":"2023-12-15T10:29:54.832Z","metadata":{"doi":"10.25504/FAIRsharing.9ntzb2","name":"GBIF Togo IPT - GBIF France","status":"ready","contacts":[{"contact_email":"gbif@gbif.fr"}],"homepage":"http://ipt-togo.gbif.fr/","identifier":2470,"description":"GBIF France hosts this data repository on behalf of GBIF Togo in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000952","bsg-d000952"],"name":"FAIRsharing record for: GBIF Togo IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9ntzb2","doi":"10.25504/FAIRsharing.9ntzb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of GBIF Togo in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11657}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Togo"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":315,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":311,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":314,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":313,"relation":"undefined"}],"grants":[{"id":2673,"fairsharing_record_id":2470,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.901Z","updated_at":"2021-09-30T09:25:51.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2471","type":"fairsharing_records","attributes":{"created_at":"2017-07-04T08:31:09.000Z","updated_at":"2023-12-15T10:32:35.312Z","metadata":{"doi":"10.25504/FAIRsharing.1gx1wq","name":"GBIF Norway (Norway IPT)","status":"ready","contacts":[{"contact_name":"GBIF Norway","contact_email":"helpdesk@gbif.no","contact_orcid":"0000-0002-2352-5497"},{"contact_name":"Dag Endresen","contact_email":"node-manager@gbif.no","contact_orcid":"0000-0002-2352-5497"},{"contact_name":"Rukaya Johaadien","contact_email":"data-manager@gbif.no","contact_orcid":"0000-0002-2857-2276"}],"homepage":"https://www.gbif.no/","citations":[],"identifier":2471,"description":"GBIF Norway is the Norwegian participant node in the Global Biodiversity Information Facility, GBIF. They make primary data on biological diversity from the Norwegian collections and observation databases freely available and coordinate and support GBIF-related activities and data use in Norway.","abbreviation":"GBIF.no","data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/installation/c4e83f8a-f24c-4573-a197-f085ca242917","name":"About the IPT","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000953","bsg-d000953"],"name":"FAIRsharing record for: GBIF Norway (Norway IPT)","abbreviation":"GBIF.no","url":"https://fairsharing.org/10.25504/FAIRsharing.1gx1wq","doi":"10.25504/FAIRsharing.1gx1wq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF Norway is the Norwegian participant node in the Global Biodiversity Information Facility, GBIF. They make primary data on biological diversity from the Norwegian collections and observation databases freely available and coordinate and support GBIF-related activities and data use in Norway.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11658}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1087,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":957,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1086,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":958,"relation":"undefined"}],"grants":[{"id":2675,"fairsharing_record_id":2471,"organisation_id":1094,"relation":"maintains","created_at":"2021-09-30T09:25:51.968Z","updated_at":"2021-09-30T09:25:51.968Z","grant_id":null,"is_lead":true,"saved_state":{"id":1094,"name":"GBIF Norway","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2674,"fairsharing_record_id":2471,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:25:51.939Z","updated_at":"2021-09-30T09:25:51.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2676,"fairsharing_record_id":2471,"organisation_id":2092,"relation":"maintains","created_at":"2021-09-30T09:25:51.993Z","updated_at":"2021-09-30T09:25:51.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2092,"name":"Natural History Museum at the University of Oslo","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10635,"fairsharing_record_id":2471,"organisation_id":1727,"relation":"collaborates_on","created_at":"2023-05-27T11:52:41.571Z","updated_at":"2023-05-27T11:52:41.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":1727,"name":"Long-Term Ecosystem Research in Europe (eLTER)","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":10636,"fairsharing_record_id":2471,"organisation_id":3717,"relation":"collaborates_on","created_at":"2023-05-27T11:52:41.573Z","updated_at":"2023-05-27T11:52:41.573Z","grant_id":null,"is_lead":false,"saved_state":{"id":3717,"name":"DiSSCo","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":10632,"fairsharing_record_id":2471,"organisation_id":1166,"relation":"associated_with","created_at":"2023-05-27T11:52:41.527Z","updated_at":"2023-05-27T11:52:41.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":10633,"fairsharing_record_id":2471,"organisation_id":3674,"relation":"associated_with","created_at":"2023-05-27T11:52:41.527Z","updated_at":"2023-05-27T11:52:41.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":3674,"name":"University of Oslo","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10638,"fairsharing_record_id":2471,"organisation_id":2995,"relation":"associated_with","created_at":"2023-05-27T11:54:49.743Z","updated_at":"2023-05-27T11:54:49.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2995,"name":"Universitetet i Bergen, Bergen, Norway","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10639,"fairsharing_record_id":2471,"organisation_id":2891,"relation":"associated_with","created_at":"2023-05-27T11:54:49.745Z","updated_at":"2023-05-27T11:54:49.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10634,"fairsharing_record_id":2471,"organisation_id":2712,"relation":"collaborates_on","created_at":"2023-05-27T11:52:41.541Z","updated_at":"2023-05-27T11:52:41.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Consortium","types":["Consortium","Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}},{"id":10637,"fairsharing_record_id":2471,"organisation_id":2207,"relation":"collaborates_on","created_at":"2023-05-27T11:54:49.742Z","updated_at":"2023-05-27T11:54:49.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":2207,"name":"OBIS","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":10640,"fairsharing_record_id":2471,"organisation_id":2200,"relation":"associated_with","created_at":"2023-05-27T11:54:49.746Z","updated_at":"2023-05-27T11:54:49.746Z","grant_id":null,"is_lead":false,"saved_state":{"id":2200,"name":"NTNU - Norwegian University of Science and Technology","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcUVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--356943adc8f7e038ea8568e9277de120cb31c743/gbif-norway.png?disposition=inline","exhaustive_licences":false}},{"id":"2472","type":"fairsharing_records","attributes":{"created_at":"2017-07-04T08:45:20.000Z","updated_at":"2023-11-13T11:43:06.747Z","metadata":{"doi":"10.25504/FAIRsharing.gncawv","name":"Portugal IPT - GBIF Portugal","status":"ready","contacts":[{"contact_name":"GBIF Portugal","contact_email":"node@gbif.pt"}],"homepage":"http://ipt.gbif.pt/ipt/","identifier":2472,"description":"GBIF Portugal promotes the free and open sharing of primary biodiversity data and enriches knowledge of Portuguese and World biodiversity. It promotes the integration of Portuguese data publishers and resources of biodiversity information on the GBIF network, and the availability of biodiversity data for the scientific research and societal needs.","abbreviation":null,"data_curation":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/manage-resources","type":"none"},"support_links":[{"url":"node@gbif.pt","name":"Rui Figueira","type":"Support email"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://www.gbif.org/ipt","name":"GBIF Integrated Publishing Toolkit (IPT) 2.3"}],"data_access_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/","type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/how-to-publish","type":"controlled","notes":"The dataset must be affiliated with an organization that is registered with GBIF."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000954","bsg-d000954"],"name":"FAIRsharing record for: Portugal IPT - GBIF Portugal","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.gncawv","doi":"10.25504/FAIRsharing.gncawv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF Portugal promotes the free and open sharing of primary biodiversity data and enriches knowledge of Portuguese and World biodiversity. It promotes the integration of Portuguese data publishers and resources of biodiversity information on the GBIF network, and the availability of biodiversity data for the scientific research and societal needs.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11659}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Portugal"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":378,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":367,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":375,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":368,"relation":"undefined"}],"grants":[{"id":2678,"fairsharing_record_id":2472,"organisation_id":1095,"relation":"maintains","created_at":"2021-09-30T09:25:52.042Z","updated_at":"2021-09-30T09:25:52.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":1095,"name":"GBIF Portugal","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2677,"fairsharing_record_id":2472,"organisation_id":1453,"relation":"maintains","created_at":"2021-09-30T09:25:52.016Z","updated_at":"2021-09-30T09:25:52.016Z","grant_id":null,"is_lead":true,"saved_state":{"id":1453,"name":"Instituto Superior de Agronomia, University of Lisbon, Portugal","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2679,"fairsharing_record_id":2472,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:25:52.070Z","updated_at":"2021-09-30T09:25:52.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2501","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T11:30:44.000Z","updated_at":"2023-12-15T10:32:42.329Z","metadata":{"doi":"10.25504/FAIRsharing.aq20qn","name":"NOMAD Laboratory","status":"ready","contacts":[{"contact_email":"contact@nomad-lab.eu"}],"homepage":"https://nomad-lab.eu/","citations":[{"publication_id":656}],"identifier":2501,"description":"The NOMAD Laboratory hosts, organizes and shares materials data. It contains ab initio electronic-structure data from density-functional theory and methods beyond. NOMAD enables the confirmatory analysis of materials data, their reuse, and repurposing. It makes scientific data citable as one can request digital objective identifiers (DOI's). NOMAD keeps scientific data for at least 10 years for free.","abbreviation":"NOMAD LAB","data_curation":{"type":"none"},"support_links":[{"url":"https://nomad-lab.eu/services/terms","name":"NOMAD Laboratory Terms","type":"Frequently Asked Questions (FAQs)"},{"url":"https://matsci.org/c/nomad/32","name":"matsci.org community discussion forum","type":"Forum"},{"url":"https://nomad-lab.eu/videos","name":"NOMAD Laboratory tutorial videos","type":"Training documentation"},{"url":"https://twitter.com/NoMaDCoE","name":"NOMAD Laboratory Twitter","type":"Twitter"}],"data_versioning":"yes","associated_tools":[{"url":"https://github.com/nomad-coe","name":"GitHub Organisation"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011583","name":"re3data:r3d100011583","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://nomad-lab.eu/prod/v1/staging/docs/data/upload.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000983","bsg-d000983"],"name":"FAIRsharing record for: NOMAD Laboratory","abbreviation":"NOMAD LAB","url":"https://fairsharing.org/10.25504/FAIRsharing.aq20qn","doi":"10.25504/FAIRsharing.aq20qn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NOMAD Laboratory hosts, organizes and shares materials data. It contains ab initio electronic-structure data from density-functional theory and methods beyond. NOMAD enables the confirmatory analysis of materials data, their reuse, and repurposing. It makes scientific data citable as one can request digital objective identifiers (DOI's). NOMAD keeps scientific data for at least 10 years for free.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18430}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Natural Science","Materials Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":649,"pubmed_id":null,"title":"NOMAD: The FAIR Concept for Big-Data-Driven Materials Science","year":2018,"url":"https://doi.org/10.1557/mrs.2018.208","authors":"C. Draxl and M. Scheffler","journal":"MRS Bulletin 43, 676","doi":null,"created_at":"2021-09-30T08:23:31.412Z","updated_at":"2021-09-30T08:23:31.412Z"},{"id":656,"pubmed_id":null,"title":"The NOMAD Laboratory: From Data Sharing to Artificial Intelligence","year":2019,"url":"https://iopscience.iop.org/article/10.1088/2515-7639/ab13bb","authors":"C. Draxl and M. Scheffler","journal":"J. Phys. Mater. 2, 036001","doi":null,"created_at":"2021-09-30T08:23:32.444Z","updated_at":"2021-09-30T08:23:32.444Z"},{"id":657,"pubmed_id":null,"title":"Big-Data-Driven Materials Science and its FAIR Data Infrastructure","year":2019,"url":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-42913-7_104-1.pdf","authors":"C. Draxl and M. Scheffler","journal":"Invited Perspective in Handbook Andreoni W., Yip S. (eds) Handbook of Materials Modeling. Springer, Cham","doi":null,"created_at":"2021-09-30T08:23:32.544Z","updated_at":"2021-09-30T08:23:32.544Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2282,"relation":"undefined"}],"grants":[{"id":2728,"fairsharing_record_id":2501,"organisation_id":1284,"relation":"maintains","created_at":"2021-09-30T09:25:53.911Z","updated_at":"2021-09-30T09:25:53.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":1284,"name":"Humboldt-Universität zu Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2732,"fairsharing_record_id":2501,"organisation_id":1065,"relation":"maintains","created_at":"2021-09-30T09:25:54.011Z","updated_at":"2021-09-30T09:25:54.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1065,"name":"Fritz Haber Institute of the Max Planck Society, Berlin, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2730,"fairsharing_record_id":2501,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:53.961Z","updated_at":"2021-09-30T09:29:53.478Z","grant_id":453,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"676580","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2729,"fairsharing_record_id":2501,"organisation_id":1779,"relation":"maintains","created_at":"2021-09-30T09:25:53.934Z","updated_at":"2021-09-30T09:25:53.934Z","grant_id":null,"is_lead":false,"saved_state":{"id":1779,"name":"Max Planck Computing and Data Facility, Garching, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2731,"fairsharing_record_id":2501,"organisation_id":991,"relation":"maintains","created_at":"2021-09-30T09:25:53.984Z","updated_at":"2021-09-30T09:25:53.984Z","grant_id":null,"is_lead":true,"saved_state":{"id":991,"name":"FAIR Data Infrastructure for Physics, Chemistry, Materials Science, and Astronomy e.V., Berlin, Germany","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2502","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T12:40:19.000Z","updated_at":"2024-04-09T09:14:39.281Z","metadata":{"doi":"10.25504/FAIRsharing.1ky0cs","name":"UK Data Service","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"help@ukdataservice.ac.uk"}],"homepage":"https://ukdataservice.ac.uk/","citations":[],"identifier":2502,"description":"UK Data Service (UKDS) provides unified access to the UK's largest collection of social, economic and population data for research and teaching purposes covering a range of different disciplines. The majority of our data are fully anonymised, unless otherwise specified in the relevant online catalogue records, and are therefore not suitable for genealogical users or family historians. The UK Data Service is funded by the Economic and Social Research Council (ESRC) to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, and business consultants and the commercial sector.","abbreviation":"UKDS","data_curation":{"url":"https://www.data-archive.ac.uk/managing-data/digital-curation-and-data-publishing/curation-process/","type":"manual"},"support_links":[{"url":"https://www.ukdataservice.ac.uk/about-us/contact.aspx","name":"Contact","type":"Contact form"},{"url":"https://www.ukdataservice.ac.uk/help/faq.aspx","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ukdataservice.ac.uk/news-and-events.aspx","name":"News","type":"Forum"},{"url":"https://www.ukdataservice.ac.uk/get-data/open-data.aspx","name":"Open Data at UKDS","type":"Help documentation"},{"url":"https://www.ukdataservice.ac.uk/use-data.aspx","name":"Training and Support","type":"Training documentation"},{"url":"https://twitter.com/UKDataService","name":"Twitter","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.ukdataservice.ac.uk/get-data/explore-online.aspx","name":"Tool Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010230","name":"re3data:r3d100010230","portal":"re3data"}],"data_access_condition":{"url":"https://ukdataservice.ac.uk/find-data/access-conditions/","type":"partially open","notes":"Data may be classed as open, safeguarded or controlled."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.data-archive.ac.uk/managing-data/data-preservation-and-trust/","name":"Data Preservation Policy"},"data_deposition_condition":{"url":"https://ukdataservice.ac.uk/help/deposit-data/deposit-in-the-curated-data-repository/","type":"open","notes":"Although open to all researchers, is intended primarily for ESRC researchers. Additionally, each submission is reviewed for relevance and may not be accepted if out of scope."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000984","bsg-d000984"],"name":"FAIRsharing record for: UK Data Service","abbreviation":"UKDS","url":"https://fairsharing.org/10.25504/FAIRsharing.1ky0cs","doi":"10.25504/FAIRsharing.1ky0cs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UK Data Service (UKDS) provides unified access to the UK's largest collection of social, economic and population data for research and teaching purposes covering a range of different disciplines. The majority of our data are fully anonymised, unless otherwise specified in the relevant online catalogue records, and are therefore not suitable for genealogical users or family historians. The UK Data Service is funded by the Economic and Social Research Council (ESRC) to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, and business consultants and the commercial sector.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11012}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Economic and Social History","Demographics","Social Science"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":3202,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3203,"relation":"applies_to_content"},{"licence_name":"UK Data Service Data Access Policy","licence_id":807,"licence_url":"https://www.ukdataservice.ac.uk/get-data/data-access-policy.aspx","link_id":1295,"relation":"applies_to_content"}],"grants":[{"id":2735,"fairsharing_record_id":2502,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:25:54.121Z","updated_at":"2021-09-30T09:25:54.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2733,"fairsharing_record_id":2502,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:54.041Z","updated_at":"2021-09-30T09:25:54.041Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2734,"fairsharing_record_id":2502,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:25:54.083Z","updated_at":"2021-09-30T09:25:54.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2495","type":"fairsharing_records","attributes":{"created_at":"2017-08-04T12:05:32.000Z","updated_at":"2023-12-15T10:31:34.763Z","metadata":{"doi":"10.25504/FAIRsharing.7388wt","name":"NASA Goddard Earth Sciences Data and Information Services Center","status":"ready","contacts":[{"contact_name":"Dave Meyer","contact_email":"david.j.meyer@nasa.gov"}],"homepage":"https://disc.gsfc.nasa.gov","identifier":2495,"description":"The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) is located at the Goddard Space Flight Center (GSFC) in Greenbelt, Maryland, and is one of 12 NASA Science Mission Directorate Data Centers that provide Earth science data, information, and services to research scientists, applications scientists, applications users, and students. They archive and support data sets applicable to several NASA Earth Science Focus Areas including: Atmospheric Composition, Water \u0026 Energy Cycles, and Climate Variability. The GES DISC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","abbreviation":"GES DISC","data_curation":{"type":"none"},"support_links":[{"url":"https://disc.gsfc.nasa.gov/information/alerts","name":"Alerts","type":"Blog/News"},{"url":"https://disc.gsfc.nasa.gov/information/news","name":"News","type":"Blog/News"},{"url":"gsfc-help-disc@lists.nasa.gov","name":"Helpmail contact","type":"Support email"},{"url":"https://disc.gsfc.nasa.gov/information/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://forum.earthdata.nasa.gov/","type":"Forum"},{"url":"https://disc.gsfc.nasa.gov/information/howto","name":"How to","type":"Help documentation"},{"url":"https://disc.gsfc.nasa.gov/information/glossary","name":"Glossary","type":"Help documentation"},{"url":"https://www.youtube.com/user/NASAGESDISC","name":"Youtube","type":"Video"},{"url":"https://twitter.com/NASA_GESDISC","name":"@NASA_GESDISC","type":"Twitter"}],"year_creation":1996,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000036","name":"re3data:r3d100000036","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000977","bsg-d000977"],"name":"FAIRsharing record for: NASA Goddard Earth Sciences Data and Information Services Center","abbreviation":"GES DISC","url":"https://fairsharing.org/10.25504/FAIRsharing.7388wt","doi":"10.25504/FAIRsharing.7388wt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) is located at the Goddard Space Flight Center (GSFC) in Greenbelt, Maryland, and is one of 12 NASA Science Mission Directorate Data Centers that provide Earth science data, information, and services to research scientists, applications scientists, applications users, and students. They archive and support data sets applicable to several NASA Earth Science Focus Areas including: Atmospheric Composition, Water \u0026 Energy Cycles, and Climate Variability. The GES DISC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Hydrogeology","Earth Science","Atmospheric Science","Oceanography"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":2034,"relation":"undefined"}],"grants":[{"id":2712,"fairsharing_record_id":2495,"organisation_id":1186,"relation":"maintains","created_at":"2021-09-30T09:25:53.366Z","updated_at":"2021-09-30T09:25:53.366Z","grant_id":null,"is_lead":false,"saved_state":{"id":1186,"name":"Goddard Earth Sciences Data and Information Systems, NASA Goddard Space Flight Center, Greenbelt, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2713,"fairsharing_record_id":2495,"organisation_id":806,"relation":"maintains","created_at":"2021-09-30T09:25:53.408Z","updated_at":"2021-09-30T09:25:53.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":806,"name":"Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2714,"fairsharing_record_id":2495,"organisation_id":808,"relation":"maintains","created_at":"2021-09-30T09:25:53.449Z","updated_at":"2021-09-30T09:25:53.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":808,"name":"Earth Science Data and Information System Project (ESDIS), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2715,"fairsharing_record_id":2495,"organisation_id":809,"relation":"maintains","created_at":"2021-09-30T09:25:53.490Z","updated_at":"2021-09-30T09:25:53.490Z","grant_id":null,"is_lead":false,"saved_state":{"id":809,"name":"Earth Science Data Systems (ESDS) Program, Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2498","type":"fairsharing_records","attributes":{"created_at":"2017-08-04T15:59:19.000Z","updated_at":"2024-01-11T11:51:49.389Z","metadata":{"doi":"10.25504/FAIRsharing.rd6gxr","name":"SIMBAD Astronomical Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"cds-question@unistra.fr"}],"homepage":"http://simbad.u-strasbg.fr/simbad/","citations":[],"identifier":2498,"description":"SIMBAD provides information on astronomical objects of interest which have been studied in scientific articles. It provides a bibliography as well as basic information such as the nature of the object, its coordinates, magnitudes, proper motions and parallax, velocity/redshift, size, spectral or morphological type, and the multitude of names (identifiers) given in the literature.","abbreviation":"SIMBAD","data_curation":{"type":"manual/automated","notes":"Professional"},"year_creation":1950,"data_versioning":"no","associated_tools":[{"url":"https://aladin.u-strasbg.fr/java/nph-aladin.pl?frame=downloading","name":"Aladin Desktop"},{"url":"https://aladin.u-strasbg.fr/AladinLite/","name":"Aladin Lite"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010163","name":"re3data:r3d100010163","portal":"re3data"}],"data_access_condition":{"url":"http://simbad.cds.unistra.fr/simbad/","type":"open","notes":"Usable by interactive web pages and also APIs"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000980","bsg-d000980"],"name":"FAIRsharing record for: SIMBAD Astronomical Database","abbreviation":"SIMBAD","url":"https://fairsharing.org/10.25504/FAIRsharing.rd6gxr","doi":"10.25504/FAIRsharing.rd6gxr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SIMBAD provides information on astronomical objects of interest which have been studied in scientific articles. It provides a bibliography as well as basic information such as the nature of the object, its coordinates, magnitudes, proper motions and parallax, velocity/redshift, size, spectral or morphological type, and the multitude of names (identifiers) given in the literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":2722,"fairsharing_record_id":2498,"organisation_id":2988,"relation":"maintains","created_at":"2021-09-30T09:25:53.762Z","updated_at":"2021-09-30T09:25:53.762Z","grant_id":null,"is_lead":false,"saved_state":{"id":2988,"name":"Universite de Strasbourg, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2721,"fairsharing_record_id":2498,"organisation_id":2651,"relation":"maintains","created_at":"2021-09-30T09:25:53.729Z","updated_at":"2021-09-30T09:25:53.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":2651,"name":"Strasbourg Astronomical Data Center, Strasbourg Astronomical Observatory","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9208,"fairsharing_record_id":2498,"organisation_id":1974,"relation":"funds","created_at":"2022-04-11T12:07:22.198Z","updated_at":"2022-04-11T12:07:22.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2500","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T10:39:04.000Z","updated_at":"2023-06-23T16:19:15.097Z","metadata":{"doi":"10.25504/FAIRsharing.1frnts","name":"UK Solar System Data Centre Data Archive","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"support@ukssdc.ac.uk"}],"homepage":"https://www.ukssdc.ac.uk","identifier":2500,"description":"The UK Solar System Data Centre (UKSSDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Solar terrestrial physics and chemistry. It provides a central archive and data centre facility for Solar System science in the UK. The UKSSDC supports data archives for the whole UK solar system community encompassing solar, inter-planetary, magnetospheric, ionospheric and geomagnetic science. The UKSSDC is part of RAL Space based at the STFC run Rutherford Appleton Laboratory in Oxfordshire.","abbreviation":"UKSSDC","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ukssdc.ac.uk/contact.html","name":"Contact form","type":"Contact form"},{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010714","name":"re3data:r3d100010714","portal":"re3data"}],"data_access_condition":{"url":"https://www.ukssdc.ac.uk/cgi-bin/wdcc1/userreg.pl","type":"controlled"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000982","bsg-d000982"],"name":"FAIRsharing record for: UK Solar System Data Centre Data Archive","abbreviation":"UKSSDC","url":"https://fairsharing.org/10.25504/FAIRsharing.1frnts","doi":"10.25504/FAIRsharing.1frnts","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Solar System Data Centre (UKSSDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Solar terrestrial physics and chemistry. It provides a central archive and data centre facility for Solar System science in the UK. The UKSSDC supports data archives for the whole UK solar system community encompassing solar, inter-planetary, magnetospheric, ionospheric and geomagnetic science. The UKSSDC is part of RAL Space based at the STFC run Rutherford Appleton Laboratory in Oxfordshire.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geophysics","Astrophysics and Astronomy","Earth Science","Atmospheric Science"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":2725,"fairsharing_record_id":2500,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:53.834Z","updated_at":"2021-09-30T09:25:53.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2726,"fairsharing_record_id":2500,"organisation_id":2519,"relation":"maintains","created_at":"2021-09-30T09:25:53.861Z","updated_at":"2021-09-30T09:25:53.861Z","grant_id":null,"is_lead":true,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2727,"fairsharing_record_id":2500,"organisation_id":2519,"relation":"funds","created_at":"2021-09-30T09:25:53.883Z","updated_at":"2021-09-30T09:25:53.883Z","grant_id":null,"is_lead":false,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2496","type":"fairsharing_records","attributes":{"created_at":"2017-08-04T13:44:06.000Z","updated_at":"2023-12-15T10:32:46.028Z","metadata":{"doi":"10.25504/FAIRsharing.j5eden","name":"Australian Ocean Data Network Portal","status":"ready","contacts":[{"contact_name":"Contact email","contact_email":"info@aodn.org.au"}],"homepage":"https://portal.aodn.org.au","citations":[],"identifier":2496,"description":"The AODN Portal provides access to all available Australian marine and climate science data and provides the primary access to IMOS data including access to the IMOS metadata. Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.","abbreviation":"AODN","data_curation":{"url":"https://s3-ap-southeast-2.amazonaws.com/content.aodn.org.au/Documents/IMOS/Conventions/AODN_Data_Policy.pdf","type":"manual","notes":"Data should be curated prior to submission."},"support_links":[{"url":"https://help.aodn.org.au","name":"User guide","type":"Help documentation"},{"url":"https://github.com/aodn/","name":"Github","type":"Github"},{"url":"https://twitter.com/IMOS_AUS","name":"@IMOS_AUS","type":"Twitter"}],"data_versioning":"yes","associated_tools":[{"url":"https://help.aodn.org.au/aodn-data-tools/","name":"AODN/IMOS Data Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010914","name":"re3data:r3d100010914","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://help.aodn.org.au/contributing-data/overview/","type":"open"},"citation_to_related_publications":"no","certifications_and_community_badges":[{"url":"https://amt.coretrustseal.org/certificates","name":"CoreTrustSeal"},{"url":"https://worlddatasystem.org/members/wds-members-directory-pdf/","name":"World Data System Member"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000978","bsg-d000978"],"name":"FAIRsharing record for: Australian Ocean Data Network Portal","abbreviation":"AODN","url":"https://fairsharing.org/10.25504/FAIRsharing.j5eden","doi":"10.25504/FAIRsharing.j5eden","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AODN Portal provides access to all available Australian marine and climate science data and provides the primary access to IMOS data including access to the IMOS metadata. Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Marine Biology","Earth Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1466,"relation":"undefined"}],"grants":[{"id":2716,"fairsharing_record_id":2496,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:53.541Z","updated_at":"2021-09-30T09:25:53.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2717,"fairsharing_record_id":2496,"organisation_id":3133,"relation":"maintains","created_at":"2021-09-30T09:25:53.583Z","updated_at":"2021-09-30T09:25:53.583Z","grant_id":null,"is_lead":true,"saved_state":{"id":3133,"name":"University of Tasmania, Australia","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2512","type":"fairsharing_records","attributes":{"created_at":"2017-08-17T21:09:55.000Z","updated_at":"2023-12-15T10:31:39.397Z","metadata":{"doi":"10.25504/FAIRsharing.pjj4gd","name":"Biological and Chemical Oceanography Data Management Office","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@bco-dmo.org"}],"homepage":"https://www.bco-dmo.org/","identifier":2512,"description":"The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and the Division of Polar Programs Arctic Sciences and Antarctic Organisms \u0026 Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archive with appropriate national facilities.","abbreviation":"BCO-DMO","data_curation":{"url":"https://www.bco-dmo.org/files/bcodmo/BCO-DMO_Quick_Start_Guide.pdf","type":"manual/automated"},"support_links":[{"url":"https://blog.bco-dmo.org/","name":"BCO-DMO Blog","type":"Blog/News"},{"url":"https://www.bco-dmo.org/faq-page","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.linkedin.com/company/biological-and-chemical-oceanography-data-management-office","name":"LinkedIn","type":"Forum"},{"url":"https://www.bco-dmo.org/files/bcodmo/BCO-DMO_Quick_Start_Guide.pdf","name":"Quick Start Guide","type":"Help documentation"},{"url":"https://www.bco-dmo.org/how-get-started","name":"How to Contribute","type":"Help documentation"},{"url":"https://www.bco-dmo.org/resources","name":"Resources","type":"Help documentation"},{"url":"http://www.bco-dmo.org/files/bcodmo/BCO-DMO_Tutorial.pdf","name":"BCO-DMO Tutorial","type":"Training documentation"},{"url":"https://twitter.com/BCODMO","name":"@BCODMO","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000012","name":"re3data:r3d100000012","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.bco-dmo.org/how-get-started","type":"controlled","notes":"One can only submit data from projects funded by NSF OCE's Biological or Chemical Oceanography Sections or the Division of Polar Programs' Antarctic Organisms \u0026 Ecosystems Program."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000994","bsg-d000994"],"name":"FAIRsharing record for: Biological and Chemical Oceanography Data Management Office","abbreviation":"BCO-DMO","url":"https://fairsharing.org/10.25504/FAIRsharing.pjj4gd","doi":"10.25504/FAIRsharing.pjj4gd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and the Division of Polar Programs Arctic Sciences and Antarctic Organisms \u0026 Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archive with appropriate national facilities.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12786}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Geography","Limnology","Biochemistry","Genomics","Proteomics","Ecology","Biodiversity","Atmospheric Science","Life Science","Microbiology","Oceanography","Biology"],"domains":["Climate"],"taxonomies":["All"],"user_defined_tags":["Ecological modeling"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2420,"relation":"undefined"}],"grants":[{"id":2766,"fairsharing_record_id":2512,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:55.287Z","updated_at":"2021-09-30T09:29:17.651Z","grant_id":181,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCE-1435578","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2513","type":"fairsharing_records","attributes":{"created_at":"2017-08-18T10:31:21.000Z","updated_at":"2023-06-23T11:20:32.115Z","metadata":{"doi":"10.25504/FAIRsharing.jnzrt","name":"Project Tycho: Data for Health","status":"ready","contacts":[{"contact_name":"Wilbert van Panhuis","contact_email":"tycho@phdl.pitt.edu","contact_orcid":"0000-0002-7278-9982"}],"homepage":"http://www.tycho.pitt.edu","citations":[],"identifier":2513,"description":"In 2013 the the first version of Project Tycho contained weekly case counts for 50 notifiable conditions reported by health agencies in the United States for 50 states and 1284 cities between 1888 and 2014. Over the past four years, over 3700 users have registered to use Project Tycho data for a total of 40 creative works including peer-reviewed research papers, visualizations, online applications, and newspaper articles. Project Tycho 2.0 has expanded its scope to a global level and improved standardization, following FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles where possible. Project Tycho 2.0 includes case counts for 28 additional notifiable conditions for the US and includes data for dengue-related conditions for 99 countries between 1955 and 2010, obtained from the World Health Organization and Ministries of Health. Project Tycho 2.0 datasets are represented in a standard format and include standard SNOMED-CT codes for reported conditions, ISO 3166 codes for countries and first administrative level subdivisions, and NCBI TaxonID numbers for pathogens. Metadata for Project Tycho datasets are available on the website in human-readable format, but also in machine-interpretable DATS and DataCite metadata files.","abbreviation":"Project Tycho","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.tycho.pitt.edu/#contact","name":"Contact Form","type":"Contact form"}],"year_creation":2013,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011948","name":"re3data:r3d100011948","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010489","name":"SciCrunch:RRID:SCR_010489","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000995","bsg-d000995"],"name":"FAIRsharing record for: Project Tycho: Data for Health","abbreviation":"Project Tycho","url":"https://fairsharing.org/10.25504/FAIRsharing.jnzrt","doi":"10.25504/FAIRsharing.jnzrt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In 2013 the the first version of Project Tycho contained weekly case counts for 50 notifiable conditions reported by health agencies in the United States for 50 states and 1284 cities between 1888 and 2014. Over the past four years, over 3700 users have registered to use Project Tycho data for a total of 40 creative works including peer-reviewed research papers, visualizations, online applications, and newspaper articles. Project Tycho 2.0 has expanded its scope to a global level and improved standardization, following FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles where possible. Project Tycho 2.0 includes case counts for 28 additional notifiable conditions for the US and includes data for dengue-related conditions for 99 countries between 1955 and 2010, obtained from the World Health Organization and Ministries of Health. Project Tycho 2.0 datasets are represented in a standard format and include standard SNOMED-CT codes for reported conditions, ISO 3166 codes for countries and first administrative level subdivisions, and NCBI TaxonID numbers for pathogens. Metadata for Project Tycho datasets are available on the website in human-readable format, but also in machine-interpretable DATS and DataCite metadata files.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12256},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12787}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":["FAIR"],"taxonomies":["anaplasma phagocytophylum","Babesiidae","Bacillus anthracis","Borrelia","Brucella","Campylobacter","Chalmydia psittaci","Chlamydia","Chlamydia trachomatis","Clostridium tetani","Coccidioides","Corynebacterium diphtheriae","Cryptosporidium","Dengue virus","Ehrlichia chaffeensis","Entamoeba histolytica","Enterobacteriaceae","Enterovirus C","Escherichia coli","Eschericia coli O157:H7","Firmicutes","Francisella tularensis","Giardia","Haemophilus influenzae","Hepatitis b virus","Hepatitis C virus","Homo sapiens","Human hepatitis A virus","Human herpesvirus 3","Human immunodeficiency virus","Legionella","Listeria monocytogenes","Measles virus","Mumps virus","Mycobacterium leprae","Mycobacterium tuberculosis","Neisseria gonorrhoeae","Neisseria meningitidis","Neisseria meningitidis serogroup B","Plasmodium","Rickettsiales","Rickettsia rickettsii","Rubella virus","Salmonella","Salmonella enterica subsp.enterica serovar Typhi","Shigella","Streptococcus pneumoniae","Streptococcus sp. group A","Treponema pallidum","Trichinella","unidentified influenza virus","Variola virus","Vibrio cholerae","West Nile virus","Yellow fever virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2598,"pubmed_id":24283231,"title":"Contagious diseases in the United States from 1888 to the present.","year":2013,"url":"http://doi.org/10.1056/NEJMms1215400","authors":"van Panhuis WG,Grefenstette J,Jung SY,Chok NS,Cross A,Eng H,Lee BY,Zadorozhny V,Brown S,Cummings D,Burke DS","journal":"N Engl J Med","doi":"10.1056/NEJMms1215400","created_at":"2021-09-30T08:27:18.839Z","updated_at":"2021-09-30T08:27:18.839Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":680,"relation":"undefined"},{"licence_name":"Project Tycho CC BY 4.0 License Document","licence_id":684,"licence_url":"https://www.tycho.pitt.edu/license/","link_id":681,"relation":"undefined"}],"grants":[{"id":2767,"fairsharing_record_id":2513,"organisation_id":2382,"relation":"maintains","created_at":"2021-09-30T09:25:55.311Z","updated_at":"2021-09-30T09:25:55.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2382,"name":"Public Health Dynamics Laboratory, University of Pittsburgh, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2773,"fairsharing_record_id":2513,"organisation_id":2370,"relation":"maintains","created_at":"2021-09-30T09:25:55.533Z","updated_at":"2021-09-30T09:25:55.533Z","grant_id":null,"is_lead":false,"saved_state":{"id":2370,"name":"Project Tycho","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2768,"fairsharing_record_id":2513,"organisation_id":708,"relation":"maintains","created_at":"2021-09-30T09:25:55.345Z","updated_at":"2021-09-30T09:25:55.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":708,"name":"Department of Epidemiology, University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2770,"fairsharing_record_id":2513,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:25:55.417Z","updated_at":"2021-09-30T09:25:55.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2772,"fairsharing_record_id":2513,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:25:55.496Z","updated_at":"2021-09-30T09:32:41.257Z","grant_id":1733,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"5K01ES026836-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2774,"fairsharing_record_id":2513,"organisation_id":3115,"relation":"maintains","created_at":"2021-09-30T09:25:55.577Z","updated_at":"2021-09-30T09:25:55.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2769,"fairsharing_record_id":2513,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:55.375Z","updated_at":"2021-09-30T09:28:56.152Z","grant_id":22,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"5U54GM088491-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2771,"fairsharing_record_id":2513,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:25:55.459Z","updated_at":"2021-09-30T09:30:40.992Z","grant_id":820,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"49276","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ29CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f4cbd6c1ae0b37286146915e026d3ecd29637ca9/tycho.png?disposition=inline","exhaustive_licences":false}},{"id":"2514","type":"fairsharing_records","attributes":{"created_at":"2017-08-20T18:01:53.000Z","updated_at":"2024-03-20T13:35:32.585Z","metadata":{"doi":"10.25504/FAIRsharing.nwz68","name":"VDJdb: a curated database of T-cell receptors with known antigen specificity","status":"ready","contacts":[{"contact_name":"Mikhail Shugay","contact_email":"mikhail.shugay@gmail.com","contact_orcid":"0000-0001-7826-7942"}],"homepage":"https://vdjdb.cdr3.net","citations":[],"identifier":2514,"description":"The primary goal of VDJdb is to facilitate access to existing information on T-cell receptor antigen specificities, i.e. the ability to recognize certain epitopes in certain MHC contexts. Our mission is to both aggregate the scarce TCR specificity information available so far and to create a curated repository to store such data. In addition to routine database updates providing the most up-to-date information, we make our best to ensure data consistency and fight irregularities in TCR specificity reporting with a complex database validation scheme.","abbreviation":"VDJdb","data_curation":{"type":"automated"},"support_links":[{"url":"https://github.com/antigenomics/vdjdb-db/issues","name":"Issue tracker","type":"Github"},{"url":"https://gitter.im/antigenomics/vdjdb-db","name":"Interactive chat","type":"Help documentation"},{"url":"https://zenodo.org/record/838663#.WZq4IsaZOwI","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/antigenomics/vdjdb-db ","name":"DB GitHub","type":"Github"}],"year_creation":2017,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://github.com/antigenomics/vdjdb-db/blob/master/README.md#submission-guide","type":"open","notes":"Free registration is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000996","bsg-d000996"],"name":"FAIRsharing record for: VDJdb: a curated database of T-cell receptors with known antigen specificity","abbreviation":"VDJdb","url":"https://fairsharing.org/10.25504/FAIRsharing.nwz68","doi":"10.25504/FAIRsharing.nwz68","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary goal of VDJdb is to facilitate access to existing information on T-cell receptor antigen specificities, i.e. the ability to recognize certain epitopes in certain MHC contexts. Our mission is to both aggregate the scarce TCR specificity information available so far and to create a curated repository to store such data. In addition to routine database updates providing the most up-to-date information, we make our best to ensure data consistency and fight irregularities in TCR specificity reporting with a complex database validation scheme.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Medicine","Bioinformatics","Immunogenetics","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Immunogenomics"],"countries":["Czech Republic","Russia","European Union"],"publications":[{"id":4202,"pubmed_id":null,"title":"VDJdb in the pandemic era: a compendium of T cell receptors specific for SARS-CoV-2","year":2022,"url":"http://dx.doi.org/10.1038/s41592-022-01578-0","authors":"Goncharov, Mikhail; Bagaev, Dmitry; Shcherbinin, Dmitrii; Zvyagin, Ivan; Bolotin, Dmitry; Thomas, Paul G.; Minervina, Anastasia A.; Pogorelyy, Mikhail V.; Ladell, Kristin; McLaren, James E.; Price, David A.; Nguyen, Thi H. O.; Rowntree, Louise C.; Clemens, E. Bridie; Kedzierska, Katherine; Dolton, Garry; Rius, Cristina Rafael; Sewell, Andrew; Samir, Jerome; Luciani, Fabio; Zornikova, Ksenia V.; Khmelevskaya, Alexandra A.; Sheetikov, Saveliy A.; Efimov, Grigory A.; Chudakov, Dmitry; Shugay, Mikhail; ","journal":"Nat Methods","doi":"10.1038/s41592-022-01578-0","created_at":"2024-03-20T13:18:48.958Z","updated_at":"2024-03-20T13:18:48.958Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1074,"relation":"undefined"}],"grants":[{"id":11497,"fairsharing_record_id":2514,"organisation_id":4322,"relation":"maintains","created_at":"2024-03-20T13:25:18.653Z","updated_at":"2024-03-20T13:25:18.653Z","grant_id":null,"is_lead":true,"saved_state":{"id":4322,"name":"Institute of Bioorganic Chemistry","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdjREIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f6e38cdb8e0ea19a3ad41fc95a7c1684a4613ca0/Screenshot%20from%202024-03-20%2013-17-56.png?disposition=inline","exhaustive_licences":false}},{"id":"2515","type":"fairsharing_records","attributes":{"created_at":"2017-09-08T15:55:31.000Z","updated_at":"2024-02-07T17:44:57.648Z","metadata":{"doi":"10.25504/FAIRsharing.sym4ne","name":"The Encyclopedia of Proteome Dynamics","status":"deprecated","contacts":[{"contact_name":"Alejandro Brenes","contact_email":"ajbrenesmurillo@dundee.ac.uk","contact_orcid":""}],"homepage":"https://peptracker.com/epd","citations":[],"identifier":2515,"description":"The EPD has been created and is maintained by the Lamond group in the University of Dundee. It combines a polyglot persistent database and web-application that provides open access to integrated proteomics data for \u003e30 000 proteins from published studies on human cells and model organisms. It is designed to provide a user-friendly interface, featuring graphical navigation with interactive visualizations that facilitate powerful data exploration in an intuitive manner. The EPD offers a flexible and scalable ecosystem to integrate proteomics data with genomics information, RNA expression and other related, large-scale datasets.","abbreviation":"EPD","data_curation":{"type":"not found"},"support_links":[{"url":"peptracker@dundee.ac.uk","name":"EPD Contact","type":"Support email"},{"url":"https://peptracker.com/epd/details/","name":"Details","type":"Help documentation"},{"url":"https://peptracker.com/epd/about/","name":"About","type":"Help documentation"},{"url":"https://peptracker.com/epd/publications/","name":"Publications","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2022-01-19","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000997","bsg-d000997"],"name":"FAIRsharing record for: The Encyclopedia of Proteome Dynamics","abbreviation":"EPD","url":"https://fairsharing.org/10.25504/FAIRsharing.sym4ne","doi":"10.25504/FAIRsharing.sym4ne","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EPD has been created and is maintained by the Lamond group in the University of Dundee. It combines a polyglot persistent database and web-application that provides open access to integrated proteomics data for \u003e30 000 proteins from published studies on human cells and model organisms. It is designed to provide a user-friendly interface, featuring graphical navigation with interactive visualizations that facilitate powerful data exploration in an intuitive manner. The EPD offers a flexible and scalable ecosystem to integrate proteomics data with genomics information, RNA expression and other related, large-scale datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Data Visualization"],"domains":["Peptide identification","Peptide library","Post-translational protein modification"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2256,"pubmed_id":null,"title":"The Encyclopedia of Proteome Dynamics: a big data ecosystem for (prote)omics","year":2017,"url":"http://doi.org/10.1093/nar/gkx807","authors":"Brenes A, Afzal V, Kent R, Lamond A.I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx807","created_at":"2021-09-30T08:26:34.374Z","updated_at":"2021-09-30T08:26:34.374Z"}],"licence_links":[],"grants":[{"id":2775,"fairsharing_record_id":2515,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:55.618Z","updated_at":"2021-09-30T09:25:55.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2778,"fairsharing_record_id":2515,"organisation_id":3049,"relation":"maintains","created_at":"2021-09-30T09:25:55.731Z","updated_at":"2021-09-30T09:25:55.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2776,"fairsharing_record_id":2515,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:55.660Z","updated_at":"2021-09-30T09:25:55.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2777,"fairsharing_record_id":2515,"organisation_id":1684,"relation":"maintains","created_at":"2021-09-30T09:25:55.698Z","updated_at":"2021-09-30T09:25:55.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":1684,"name":"Lamond Group","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2517","type":"fairsharing_records","attributes":{"created_at":"2017-10-04T18:19:05.000Z","updated_at":"2023-12-15T10:31:23.375Z","metadata":{"doi":"10.25504/FAIRsharing.ccwcz6","name":"NCI Center for Strategic Scientific Initiatives Data Coordinating Center","status":"ready","contacts":[{"contact_name":"Paul Aiyetan, MD","contact_email":"paul.aiyetan@nih.gov","contact_orcid":"0000-0001-9031-000X"}],"homepage":"https://cssi-dcc.nci.nih.gov/cssiportal/","identifier":2517,"description":"The CSSI Data Coordinating Center (DCC) provides the greater Cancer Research and Biomedical Research communities access to the data from a myriad of projects that have been supported by CSSI -- serving as a permanent repository for these and related investigations. The DCC allows users in the community to download the metadata and data from these investigations in the ISA-TAB format. The DCC also allows any user to upload and download the metadata and data associated with investigations. The DCC has a graphical user interface allowing users to easily visualize the content within the data archives","abbreviation":"CSSI DCC","data_curation":{"type":"not found"},"support_links":[{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/contactus/","name":"CSSI DCC Portal Contact Form","type":"Contact form"},{"url":"https://wiki.nci.nih.gov/display/DSE/CSSI+DCC+Portal+User%27s+Guide","name":"CSSI DCC Portal User Guide","type":"Help documentation"},{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/news/","name":"News","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/search/","name":"Search"},{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/browse","name":"Browse"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/about/#","type":"controlled","notes":"Only data generated in support of cancer research funded or supported by the CSSI can be submitted"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001000","bsg-d001000"],"name":"FAIRsharing record for: NCI Center for Strategic Scientific Initiatives Data Coordinating Center","abbreviation":"CSSI DCC","url":"https://fairsharing.org/10.25504/FAIRsharing.ccwcz6","doi":"10.25504/FAIRsharing.ccwcz6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CSSI Data Coordinating Center (DCC) provides the greater Cancer Research and Biomedical Research communities access to the data from a myriad of projects that have been supported by CSSI -- serving as a permanent repository for these and related investigations. The DCC allows users in the community to download the metadata and data from these investigations in the ISA-TAB format. The DCC also allows any user to upload and download the metadata and data associated with investigations. The DCC has a graphical user interface allowing users to easily visualize the content within the data archives","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Cancer"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2780,"fairsharing_record_id":2517,"organisation_id":1955,"relation":"funds","created_at":"2021-09-30T09:25:55.981Z","updated_at":"2021-09-30T09:25:55.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2782,"fairsharing_record_id":2517,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:56.061Z","updated_at":"2021-09-30T09:25:56.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9389,"fairsharing_record_id":2517,"organisation_id":1955,"relation":"maintains","created_at":"2022-04-11T12:07:35.099Z","updated_at":"2022-04-11T12:07:35.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2523","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T14:48:13.000Z","updated_at":"2023-12-15T10:29:38.990Z","metadata":{"doi":"10.25504/FAIRsharing.9997ek","name":"The Mass Genome Annotation Data Repository","status":"ready","contacts":[{"contact_name":"Philipp Bucher","contact_email":"ask-epd@googlegroups.com","contact_orcid":"0000-0003-4824-885X"}],"homepage":"https://epd.expasy.org/mga/","citations":[],"identifier":2523,"description":"The Mass Genome Annotation (MGA) Data Repository stores published next generation sequencing data and other genome annotation data (such as gene start sites, SNPs, etc.) that, in conjunction with the ChIP-Seq and SSA servers, can be accessed and studied by scientists. The main characteristic of the MGA database is to store mapped data (in the form of genomic coordinates of mapped reads) and not sequence files. In this way, each sample present in the database has been pre-processed (for example sequence reads have been mapped to a genome) and presented in a standardized text format.","abbreviation":"MGA","data_curation":{"url":"https://doi.org/10.1093/nar/gkx995","type":"manual"},"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"https://ccg.epfl.ch/chipseq/","name":"ChIP-Seq 1.5.4"},{"url":"https://ccg.epfl.ch/ssa/","name":"SSA 2.0"},{"url":"https://epd.expasy.org/ssa/","name":"Signal Search Analysis"},{"url":"https://epd.expasy.org/chipseq/","name":" ChIP-Seq data analysis"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001006","bsg-d001006"],"name":"FAIRsharing record for: The Mass Genome Annotation Data Repository","abbreviation":"MGA","url":"https://fairsharing.org/10.25504/FAIRsharing.9997ek","doi":"10.25504/FAIRsharing.9997ek","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mass Genome Annotation (MGA) Data Repository stores published next generation sequencing data and other genome annotation data (such as gene start sites, SNPs, etc.) that, in conjunction with the ChIP-Seq and SSA servers, can be accessed and studied by scientists. The main characteristic of the MGA database is to store mapped data (in the form of genomic coordinates of mapped reads) and not sequence files. In this way, each sample present in the database has been pre-processed (for example sequence reads have been mapped to a genome) and presented in a standardized text format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Annotation","Chromatin immunoprecipitation - DNA sequencing","Single nucleotide polymorphism"],"taxonomies":["Apis mellifera","Arabidopsis thaliana","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Zea mays"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[],"grants":[{"id":2791,"fairsharing_record_id":2523,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:56.375Z","updated_at":"2021-09-30T09:25:56.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2790,"fairsharing_record_id":2523,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:25:56.332Z","updated_at":"2021-09-30T09:25:56.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbThCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--abaed62dbeee8770c54de9239ead6bd88e763f4a/Screenshot%20from%202022-08-02%2008-53-34.png?disposition=inline","exhaustive_licences":false}},{"id":"2524","type":"fairsharing_records","attributes":{"created_at":"2017-10-30T22:31:08.000Z","updated_at":"2023-12-15T10:32:45.080Z","metadata":{"doi":"10.25504/FAIRsharing.by3p8p","name":"brainlife","status":"ready","contacts":[{"contact_name":"Franco Pestilli","contact_email":"pestilli@utexas.edu","contact_orcid":"0000-0002-2469-0494"}],"homepage":"https://brainlife.io","citations":[],"identifier":2524,"description":"Brainlife is an open, online platform that provides seamless access to cloud computing infrastructure and brain data and data derivatives. It aims to address challenges to neuroscience open sharing and reproducibility by providing integrative mechanisms for publishing data, and algorithms while embedding them with computing resources to impact multiple scientific communities. Brainlife is intended for neuroscientists, computer scientists, statisticians, and engineers interested in brain data to use the data or develop and publish their analysis methods.","abbreviation":"brainlife","data_curation":{"type":"none"},"support_links":[{"url":"brlife@iu.edu","name":"General Contact","type":"Support email"},{"url":"https://brainlife.slack.com/","name":"Brain Life Slack Channel","type":"Help documentation"},{"url":"https://github.com/brainlife/brainlife","name":"GitHub Project","type":"Github"},{"url":"https://brainlife.io/docs/","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/brainlifeio","name":"@brainlifeio","type":"Twitter"}],"year_creation":2017,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012397","name":"re3data:r3d100012397","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_020940","name":"SciCrunch:RRID:SCR_020940","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://brainlife.io/docs/user/started/#upload-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001007","bsg-d001007"],"name":"FAIRsharing record for: brainlife","abbreviation":"brainlife","url":"https://fairsharing.org/10.25504/FAIRsharing.by3p8p","doi":"10.25504/FAIRsharing.by3p8p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Brainlife is an open, online platform that provides seamless access to cloud computing infrastructure and brain data and data derivatives. It aims to address challenges to neuroscience open sharing and reproducibility by providing integrative mechanisms for publishing data, and algorithms while embedding them with computing resources to impact multiple scientific communities. Brainlife is intended for neuroscientists, computer scientists, statisticians, and engineers interested in brain data to use the data or develop and publish their analysis methods.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Computational Neuroscience","Computational Biology","Computer Science","Biomedical Science","Bioengineering","Neuroscience"],"domains":["Brain","Brain imaging","Data storage"],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics"],"countries":["United States"],"publications":[{"id":830,"pubmed_id":31123325,"title":"The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services.","year":2019,"url":"http://doi.org/10.1038/s41597-019-0073-y","authors":"Avesani P,McPherson B,Hayashi S,Caiafa CF,Henschel R,Garyfallidis E,Kitchell L,Bullock D,Patterson A,Olivetti E,Sporns O,Saykin AJ,Wang L,Dinov I,Hancock D,Caron B,Qian Y,Pestilli F","journal":"Sci Data","doi":"10.1038/s41597-019-0073-y","created_at":"2021-09-30T08:23:51.539Z","updated_at":"2021-09-30T08:23:51.539Z"}],"licence_links":[],"grants":[{"id":2793,"fairsharing_record_id":2524,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:56.453Z","updated_at":"2021-09-30T09:30:38.230Z","grant_id":800,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BCS-1734853","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8353,"fairsharing_record_id":2524,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:14.239Z","updated_at":"2021-09-30T09:32:14.273Z","grant_id":1529,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"ISS-1636893","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2792,"fairsharing_record_id":2524,"organisation_id":3138,"relation":"maintains","created_at":"2021-09-30T09:25:56.409Z","updated_at":"2021-09-30T09:25:56.409Z","grant_id":null,"is_lead":true,"saved_state":{"id":3138,"name":"University of Texas at Austin, Austin, TX, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2522","type":"fairsharing_records","attributes":{"created_at":"2017-10-30T13:39:53.000Z","updated_at":"2023-12-15T10:30:11.458Z","metadata":{"doi":"10.25504/FAIRsharing.dh32pc","name":"Target Pathogen","status":"ready","contacts":[{"contact_name":"Dario Fernandez Do Porto","contact_email":"dariofd@gmail.com"}],"homepage":"http://target.sbg.qb.fcen.uba.ar/patho/","identifier":2522,"description":"The Target-Pathogen database is a bioinformatic approach to prioritize drug targets in pathogens. Available genomic data for pathogens has created new opportunities for drug discovery and development, including new species, resistant and multiresistant ones. However, this data must be cohesively integrated to be fully exploited and be easy to interrogate. Target-Pathogen has been designed and developed as an online resource to allow genome wide based data consolidation from diverse sources focusing on structural druggability, essentiality and metabolic role of proteins. By allowing the integration and weighting of this information, this bioinformatic tool aims to facilitate the identification and prioritization of candidate drug targets for pathogens. With the structurome and drugome information Target-Pathogen is a unique resource to analyze whole genomes of relevants pathogens.","abbreviation":"Target Pathogen","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://target.sbg.qb.fcen.uba.ar/patho/user/tutorial","name":"Tutorial","type":"Help documentation"},{"url":"http://target.sbg.qb.fcen.uba.ar/patho/user/user_guide","name":"User Guide","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001005","bsg-d001005"],"name":"FAIRsharing record for: Target Pathogen","abbreviation":"Target Pathogen","url":"https://fairsharing.org/10.25504/FAIRsharing.dh32pc","doi":"10.25504/FAIRsharing.dh32pc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Target-Pathogen database is a bioinformatic approach to prioritize drug targets in pathogens. Available genomic data for pathogens has created new opportunities for drug discovery and development, including new species, resistant and multiresistant ones. However, this data must be cohesively integrated to be fully exploited and be easy to interrogate. Target-Pathogen has been designed and developed as an online resource to allow genome wide based data consolidation from diverse sources focusing on structural druggability, essentiality and metabolic role of proteins. By allowing the integration and weighting of this information, this bioinformatic tool aims to facilitate the identification and prioritization of candidate drug targets for pathogens. With the structurome and drugome information Target-Pathogen is a unique resource to analyze whole genomes of relevants pathogens.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11791}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Life Science"],"domains":["Genome visualization","Pathogen","Genome"],"taxonomies":["All"],"user_defined_tags":["Drug Target"],"countries":["Argentina"],"publications":[{"id":1380,"pubmed_id":29106651,"title":"Target-Pathogen: a structural bioinformatic approach to prioritize drug targets in pathogens.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1015","authors":"Sosa EJ,Burguener G,Lanzarotti E,Defelipe L,Radusky L,Pardo AM,Marti M,Turjanski AG,Fernandez Do Porto D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1015","created_at":"2021-09-30T08:24:54.332Z","updated_at":"2021-09-30T11:29:07.559Z"}],"licence_links":[],"grants":[{"id":2789,"fairsharing_record_id":2522,"organisation_id":982,"relation":"maintains","created_at":"2021-09-30T09:25:56.293Z","updated_at":"2021-09-30T09:25:56.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":982,"name":"Facultad de Ciencias Exactas y Naturales - Universidad de Buenos Aires","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2509","type":"fairsharing_records","attributes":{"created_at":"2017-08-11T13:30:39.000Z","updated_at":"2023-06-23T09:56:24.299Z","metadata":{"doi":"10.25504/FAIRsharing.pn7yxf","name":"Swedish National Data Service","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"snd@gu.se"}],"homepage":"https://snd.gu.se/en","identifier":2509,"description":"Swedish National Data Service (SND) is a research data infrastructure that supports accessibility, preservation, and reuse of research data. The SND Search function makes it easy to find, use, and cite research data from a variety of scientific disciplines. SND is present throughout the Swedish research ecology, through an extensive network across closer to 40 higher education institutions and other research organisations. Together, SND and this network form a distributed system of certified research data repositories with the SND main office as a central node. The certification means that SND ensures that research data are managed, stored, and made accessible in a secure and sustainable manner, today and for the future. SND collaborates with various international stakeholders in order to advance global access to research data.","abbreviation":"SND","data_curation":{"url":"https://snd.gu.se/en/describe-and-share-data/share-data-step-step","type":"manual","notes":"step by step guide for data deposit and data curation (also documented here https://snd.gu.se/en/manage-data/prepare-and-share)"},"support_links":[{"url":"https://snd.gu.se/en/news-and-events","name":"News \u0026 events","type":"Blog/News"},{"url":"https://www.linkedin.com/company/svensk-nationell-datatj%C3%A4nst/?originalSubdomain=se","name":"LinkedIn","type":"Blog/News"},{"url":"https://snd.gu.se/en/describe-and-deposit-data/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://snd.gu.se/en/manage-data/guides","name":"Guides","type":"Help documentation"},{"url":"https://snd.gu.se/en/rss-news.xml","type":"Blog/News"},{"url":"https://twitter.com/sndSweden","type":"Twitter"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010146","name":"re3data:r3d100010146","portal":"re3data"}],"data_access_condition":{"url":"https://snd.gu.se/en/find-data/research-data-catalogue/accessibility-levels-snd","type":"partially open","notes":"Data can be freely accessible or restricted, and stored by SND or third party"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://snd.gu.se/en/about-us/snd-network","type":"controlled","notes":"available to the SND network (members from Swedish higher education institutions and public research institutes)"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000991","bsg-d000991"],"name":"FAIRsharing record for: Swedish National Data Service","abbreviation":"SND","url":"https://fairsharing.org/10.25504/FAIRsharing.pn7yxf","doi":"10.25504/FAIRsharing.pn7yxf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Swedish National Data Service (SND) is a research data infrastructure that supports accessibility, preservation, and reuse of research data. The SND Search function makes it easy to find, use, and cite research data from a variety of scientific disciplines. SND is present throughout the Swedish research ecology, through an extensive network across closer to 40 higher education institutions and other research organisations. Together, SND and this network form a distributed system of certified research data repositories with the SND main office as a central node. The certification means that SND ensures that research data are managed, stored, and made accessible in a secure and sustainable manner, today and for the future. SND collaborates with various international stakeholders in order to advance global access to research data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Humanities","Social Science","Health Science","Life Science","Social and Behavioural Science","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[],"grants":[{"id":2751,"fairsharing_record_id":2509,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:25:54.727Z","updated_at":"2021-09-30T09:25:54.727Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2755,"fairsharing_record_id":2509,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:25:54.867Z","updated_at":"2021-09-30T09:25:54.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2758,"fairsharing_record_id":2509,"organisation_id":1733,"relation":"maintains","created_at":"2021-09-30T09:25:54.984Z","updated_at":"2021-09-30T09:25:54.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":1733,"name":"Lund University, Lund, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2760,"fairsharing_record_id":2509,"organisation_id":2905,"relation":"maintains","created_at":"2021-09-30T09:25:55.067Z","updated_at":"2021-09-30T09:25:55.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":2905,"name":"Umeå University, Umeå, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2752,"fairsharing_record_id":2509,"organisation_id":2674,"relation":"maintains","created_at":"2021-09-30T09:25:54.752Z","updated_at":"2021-09-30T09:25:54.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":2674,"name":"Swedish National Data Service","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2753,"fairsharing_record_id":2509,"organisation_id":2645,"relation":"maintains","created_at":"2021-09-30T09:25:54.783Z","updated_at":"2021-09-30T09:25:54.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":2645,"name":"Stockholm University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2754,"fairsharing_record_id":2509,"organisation_id":3058,"relation":"maintains","created_at":"2021-09-30T09:25:54.825Z","updated_at":"2021-09-30T09:25:54.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2756,"fairsharing_record_id":2509,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:25:54.905Z","updated_at":"2021-09-30T09:25:54.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2757,"fairsharing_record_id":2509,"organisation_id":491,"relation":"maintains","created_at":"2021-09-30T09:25:54.942Z","updated_at":"2021-09-30T09:25:54.942Z","grant_id":null,"is_lead":false,"saved_state":{"id":491,"name":"Chalmers University of Technology, Gothenburg, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2759,"fairsharing_record_id":2509,"organisation_id":2676,"relation":"maintains","created_at":"2021-09-30T09:25:55.025Z","updated_at":"2021-09-30T09:25:55.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":2676,"name":"Swedish University of Agricultural Sciences","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2761,"fairsharing_record_id":2509,"organisation_id":1651,"relation":"maintains","created_at":"2021-09-30T09:25:55.106Z","updated_at":"2021-09-30T09:25:55.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":1651,"name":"KTH Royal Institute of Technology, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2511","type":"fairsharing_records","attributes":{"created_at":"2017-08-16T07:31:15.000Z","updated_at":"2024-02-01T11:53:22.589Z","metadata":{"doi":"10.25504/FAIRsharing.1sfhp3","name":"Donders Repository","status":"deprecated","contacts":[{"contact_name":"Robert Oostenveld","contact_email":"r.oostenveld@donders.ru.nl","contact_orcid":"0000-0002-1974-1293"},{"contact_name":"Didi Lamers","contact_email":"didi.lamers@ru.nl","contact_orcid":"0000-0001-5539-9870"}],"homepage":"http://data.donders.ru.nl","citations":[],"identifier":2511,"description":"The Donders Institute for Brain, Cognition and Behavior at the Radboud University created the Donders Repository for archiving, preserving and sharing the research data generated and processed at the institute.","abbreviation":"DR","data_curation":{"type":"none"},"support_links":[{"url":"https://data.donders.ru.nl/doc/help/","type":"Help documentation"},{"url":"rdmsupport@ubn.ru.nl","name":"Research Data Management Support","type":"Support email"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"https://irods.org","name":"iRODS"},{"url":"https://cyberduck.io","name":"CyberDuck"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012701","name":"re3data:r3d100012701","portal":"re3data"}],"deprecation_date":"2024-02-01","deprecation_reason":"The Donders Repository has been merged with the Radboud Data Repository (RDR): https://doi.org/10.25504/FAIRsharing.559bc5. Researchers should now use the RDR at https://data.ru.nl instead of the Donders Repository (https://data.donders.ru.nl). All datasets of the Donders Repository are findable on the web portal of the RDR, and the Donders Repository URLs redirect to the RDR web portal. ","data_access_condition":{"url":"https://data.donders.ru.nl/doc/help/helppages/visitor-manual.html?3","type":"partially open","notes":"Collections can be accessed in different ways depending on the collection type (Open access, Open access for Registered Users or Restricted access) or your status (reviewer or visitor)."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://data.donders.ru.nl/doc/help/helppages/best-practices.html?9","type":"controlled","notes":"The Donders Repository is a data repository for researchers of Radboud University to archive and/or publish their research data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000993","bsg-d000993"],"name":"FAIRsharing record for: Donders Repository","abbreviation":"DR","url":"https://fairsharing.org/10.25504/FAIRsharing.1sfhp3","doi":"10.25504/FAIRsharing.1sfhp3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Donders Institute for Brain, Cognition and Behavior at the Radboud University created the Donders Repository for archiving, preserving and sharing the research data generated and processed at the institute.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurophysiology","Computational Neuroscience","Life Science","Social and Behavioural Science"],"domains":["Behavior","Cognition","Brain","Brain imaging"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3334,"relation":"applies_to_content"},{"licence_name":"Donders Repository Privacy Policy","licence_id":251,"licence_url":"https://data.donders.ru.nl/doc/privacy_policy.html","link_id":1432,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":3335,"relation":"applies_to_content"},{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":3336,"relation":"applies_to_content"},{"licence_name":"RU-DI-HD-1.0 - License for potentially identifying human data","licence_id":717,"licence_url":"https://data.donders.ru.nl/doc/dua/RU-DI-HD-1.0.html","link_id":1433,"relation":"undefined"},{"licence_name":"RU-DI-NH-1.0 - License for non-identifiable or non-human data","licence_id":718,"licence_url":"https://data.donders.ru.nl/doc/dua/RU-DI-NH-1.0.html","link_id":1434,"relation":"undefined"}],"grants":[{"id":2764,"fairsharing_record_id":2511,"organisation_id":2398,"relation":"maintains","created_at":"2021-09-30T09:25:55.217Z","updated_at":"2021-09-30T09:25:55.217Z","grant_id":null,"is_lead":false,"saved_state":{"id":2398,"name":"Radboud University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2765,"fairsharing_record_id":2511,"organisation_id":779,"relation":"maintains","created_at":"2021-09-30T09:25:55.254Z","updated_at":"2021-09-30T09:25:55.254Z","grant_id":null,"is_lead":false,"saved_state":{"id":779,"name":"Donders Institute for Brain, Cognition and Behavior, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2507","type":"fairsharing_records","attributes":{"created_at":"2017-08-10T15:51:09.000Z","updated_at":"2024-02-05T11:08:14.503Z","metadata":{"doi":"10.25504/FAIRsharing.mtjvme","name":"BioStudies","status":"ready","contacts":[{"contact_name":"Ugis Sarkans","contact_email":"ugis@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biostudies/","citations":[{"doi":"10.1093/nar/gkx965","pubmed_id":29069414,"publication_id":183}],"identifier":2507,"description":"The mission of BioStudies is to provide access to all the data outputs of a life sciences study from a single place, by organising links to data in other databases at EMBL-EBI or elsewhere, as well as hosting data and metadata that do not fit anywhere else. The database accepts submissions via an online tool, or in a simple tab-delimited format. BioStudies provides rich mechanisms for defining and using metadata guidelines specific for a particular data source such as a project or a community, and organises datasets in collections.","abbreviation":"BioStudies","data_curation":{"url":"https://www.ebi.ac.uk/biostudies/help","type":"manual","notes":"BioStudies will work with submitters and users of the database to achieve the best quality resource possible."},"support_links":[{"url":"biostudies@ebi.ac.uk","name":"BioStudies Helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/biostudies/help","name":"Help Pages","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biostudies/about","name":"About BioStudies","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/reusing-existing-data","name":"Reusing existing data","type":"TeSS links to training materials"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012627","name":"re3data:r3d100012627","portal":"re3data"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/biostudies/help","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.ebi.ac.uk/biostudies/help","name":"More information"},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/biostudies/submit","type":"open"},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://elixir-europe.org/platforms/data/core-data-resources","name":"ELIXIR Core Data Resource"}],"data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000989","bsg-d000989"],"name":"FAIRsharing record for: BioStudies","abbreviation":"BioStudies","url":"https://fairsharing.org/10.25504/FAIRsharing.mtjvme","doi":"10.25504/FAIRsharing.mtjvme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mission of BioStudies is to provide access to all the data outputs of a life sciences study from a single place, by organising links to data in other databases at EMBL-EBI or elsewhere, as well as hosting data and metadata that do not fit anywhere else. The database accepts submissions via an online tool, or in a simple tab-delimited format. BioStudies provides rich mechanisms for defining and using metadata guidelines specific for a particular data source such as a project or a community, and organises datasets in collections.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11404},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11851}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":183,"pubmed_id":29069414,"title":"The BioStudies database-one stop shop for all data supporting a life sciences study.","year":2017,"url":"http://doi.org/10.1093/nar/gkx965","authors":"Sarkans U,Gostev M,Athar A,Behrangi E,Melnichuk O,Ali A,Minguet J,Rada JC,Snow C,Tikhonov A,Brazma A,McEntyre J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx965","created_at":"2021-09-30T08:22:39.996Z","updated_at":"2021-09-30T11:28:43.750Z"},{"id":2248,"pubmed_id":26700850,"title":"The BioStudies database.","year":2015,"url":"http://doi.org/10.15252/msb.20156658","authors":"McEntyre J,Sarkans U,Brazma A","journal":"Mol Syst Biol","doi":"10.15252/msb.20156658","created_at":"2021-09-30T08:26:33.450Z","updated_at":"2021-09-30T08:26:33.450Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3437,"relation":"applies_to_content"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2126,"relation":"undefined"},{"licence_name":"CC-BY-SA 3.0 AT","licence_id":1014,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/at/legalcode","link_id":3436,"relation":"applies_to_content"}],"grants":[{"id":2747,"fairsharing_record_id":2507,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:54.592Z","updated_at":"2021-09-30T09:25:54.592Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10007,"fairsharing_record_id":2507,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.617Z","updated_at":"2022-10-13T09:43:38.617Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":9235,"fairsharing_record_id":2507,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.303Z","updated_at":"2022-04-11T12:07:24.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdnNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c08fff373a4f131f42d7a9d825e8589c7a364b38/logo-Biostudies.png?disposition=inline","exhaustive_licences":false}},{"id":"2520","type":"fairsharing_records","attributes":{"created_at":"2017-10-17T12:55:57.000Z","updated_at":"2023-12-15T10:30:00.123Z","metadata":{"doi":"10.25504/FAIRsharing.bwswdf","name":"Mutual Folding Induced by Binding Database","status":"ready","contacts":[{"contact_name":"Bálint Mészáros","contact_email":"mfib@ttk.mta.hu","contact_orcid":"0000-0003-0919-4449"}],"homepage":"http://mfib.enzim.ttk.mta.hu","identifier":2520,"description":"Mutual Folding Induced by Binding (MFIB) is a repository of protein complexes for which the folding of each constituent protein chain is coupled to the interaction forming the complex. This means that while the complexes are stable enough to have their structures solved by conventional structure determination methods (such as X-ray or NMR), the proteins or protein regions involved in the interaction do not have a stable structure in their free monomeric form (i.e. they are intrinsically disordered/unstructured).","abbreviation":"MFIB","data_curation":{"url":"https://mfib.enzim.ttk.mta.hu/help.php","type":"manual"},"support_links":[{"url":"http://mfib.enzim.ttk.mta.hu/help.php","name":"MFIB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mfib.enzim.ttk.mta.hu/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://mfib.enzim.ttk.mta.hu/help.php","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001003","bsg-d001003"],"name":"FAIRsharing record for: Mutual Folding Induced by Binding Database","abbreviation":"MFIB","url":"https://fairsharing.org/10.25504/FAIRsharing.bwswdf","doi":"10.25504/FAIRsharing.bwswdf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mutual Folding Induced by Binding (MFIB) is a repository of protein complexes for which the folding of each constituent protein chain is coupled to the interaction forming the complex. This means that while the complexes are stable enough to have their structures solved by conventional structure determination methods (such as X-ray or NMR), the proteins or protein regions involved in the interaction do not have a stable structure in their free monomeric form (i.e. they are intrinsically disordered/unstructured).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12790}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein interaction","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":300,"pubmed_id":29036655,"title":"MFIB: a repository of protein complexes with mutual folding induced by binding.","year":2017,"url":"http://doi.org/10.1093/bioinformatics/btx486","authors":"Ficho E,Remenyi I,Simon I,Meszaros B","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btx486","created_at":"2021-09-30T08:22:52.307Z","updated_at":"2021-09-30T08:22:52.307Z"}],"licence_links":[{"licence_name":"MFIB Free for academic and non-profit use","licence_id":508,"licence_url":"http://mfib.enzim.ttk.mta.hu/help.php","link_id":2197,"relation":"undefined"}],"grants":[{"id":2786,"fairsharing_record_id":2520,"organisation_id":1414,"relation":"maintains","created_at":"2021-09-30T09:25:56.208Z","updated_at":"2021-09-30T09:25:56.208Z","grant_id":null,"is_lead":false,"saved_state":{"id":1414,"name":"Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2787,"fairsharing_record_id":2520,"organisation_id":1909,"relation":"maintains","created_at":"2021-09-30T09:25:56.239Z","updated_at":"2021-09-30T09:25:56.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":1909,"name":"MTA-ELTE Bioinformatics Research Group","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2526","type":"fairsharing_records","attributes":{"created_at":"2017-10-17T12:56:00.000Z","updated_at":"2023-06-23T11:10:15.454Z","metadata":{"doi":"10.25504/FAIRsharing.rt4gyp","name":"Disordered Binding Sites Database","status":"ready","contacts":[{"contact_email":"dibs@ttk.mta.hu","contact_orcid":"0000-0003-0919-4449"}],"homepage":"http://dibs.enzim.ttk.mta.hu","identifier":2526,"description":"Disordered Binding Sites (DIBS) is a repository of protein complexes that are formed by ordered and disordered proteins. Intrinsically disordered proteins (IDPs) do not have a stable 3D structure in isolation and therefore they defy structure determination by X-ray or NMR. However, many IDPs bind to ordered proteins and as a result of the interaction adopt a stable structure. In accord, complex structures involving binding sites in IDPs are available. DIBS offers a collection of these complexes where exactly one protein chain is disordered and all other proteins are ordered (i.e. are stable in their isolated form that is approved by available monomeric structures).","abbreviation":"DIBS","data_curation":{"url":"https://dibs.enzim.ttk.mta.hu/help.php","type":"manual"},"support_links":[{"url":"http://dibs.enzim.ttk.mta.hu/help.php","name":"DIBS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://dibs.enzim.ttk.mta.hu/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001009","bsg-d001009"],"name":"FAIRsharing record for: Disordered Binding Sites Database","abbreviation":"DIBS","url":"https://fairsharing.org/10.25504/FAIRsharing.rt4gyp","doi":"10.25504/FAIRsharing.rt4gyp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Disordered Binding Sites (DIBS) is a repository of protein complexes that are formed by ordered and disordered proteins. Intrinsically disordered proteins (IDPs) do not have a stable 3D structure in isolation and therefore they defy structure determination by X-ray or NMR. However, many IDPs bind to ordered proteins and as a result of the interaction adopt a stable structure. In accord, complex structures involving binding sites in IDPs are available. DIBS offers a collection of these complexes where exactly one protein chain is disordered and all other proteins are ordered (i.e. are stable in their isolated form that is approved by available monomeric structures).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12791}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein interaction","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[],"licence_links":[{"licence_name":"DIBS Free for academic and non-profit use","licence_id":241,"licence_url":"http://dibs.enzim.ttk.mta.hu/help.php","link_id":1918,"relation":"undefined"}],"grants":[{"id":2797,"fairsharing_record_id":2526,"organisation_id":1414,"relation":"maintains","created_at":"2021-09-30T09:25:56.571Z","updated_at":"2021-09-30T09:25:56.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":1414,"name":"Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2798,"fairsharing_record_id":2526,"organisation_id":1909,"relation":"maintains","created_at":"2021-09-30T09:25:56.600Z","updated_at":"2021-09-30T09:25:56.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":1909,"name":"MTA-ELTE Bioinformatics Research Group","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2527","type":"fairsharing_records","attributes":{"created_at":"2017-10-17T13:39:06.000Z","updated_at":"2024-07-09T14:25:05.020Z","metadata":{"doi":"10.25504/FAIRsharing.d3bm3v","name":"Database of fuzzy protein complexes","status":"deprecated","contacts":[{"contact_name":"Monika Fuxreiter","contact_email":"fmoni@med.unideb.hu"}],"homepage":"http://protdyn-database.org/","citations":[],"identifier":2527,"description":"FuzDB compiles experimentally observed fuzzy protein complexes, where intrinsic disorder (ID) is maintained upon interacting with a partner (protein, nucleic acid or small molecule) and directly impacts biological function. Entries in the database have both (i) structural evidence demonstrating the structural multiplicity or dynamic disorder of the ID region(s) in the partner bound form of the protein and (ii) in vitro or in vivo biological evidence that indicates the significance of the fuzzy region(s) in the formation, function or regulation of the assembly. Unlike the other intrinsically disordered or unfolded protein databases, FuzDB focuses on ID regions within a biological context, including higher-order assemblies and presents a detailed analysis of the structural and functional data.","abbreviation":"FuzDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://protdyn-database.org/faqs.php","name":"Resource FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://protdyn-database.org/help.php","name":"Database Help","type":"Help documentation"},{"url":"http://protdyn-database.org/analysis.php","name":"Fuzzy Complex Analysis Help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001010","bsg-d001010"],"name":"FAIRsharing record for: Database of fuzzy protein complexes","abbreviation":"FuzDB","url":"https://fairsharing.org/10.25504/FAIRsharing.d3bm3v","doi":"10.25504/FAIRsharing.d3bm3v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FuzDB compiles experimentally observed fuzzy protein complexes, where intrinsic disorder (ID) is maintained upon interacting with a partner (protein, nucleic acid or small molecule) and directly impacts biological function. Entries in the database have both (i) structural evidence demonstrating the structural multiplicity or dynamic disorder of the ID region(s) in the partner bound form of the protein and (ii) in vitro or in vivo biological evidence that indicates the significance of the fuzzy region(s) in the formation, function or regulation of the assembly. Unlike the other intrinsically disordered or unfolded protein databases, FuzDB focuses on ID regions within a biological context, including higher-order assemblies and presents a detailed analysis of the structural and functional data.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12792}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein structure","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":921,"pubmed_id":27794553,"title":"FuzDB: database of fuzzy complexes, a tool to develop stochastic structure-function relationships for protein complexes and higher-order assemblies.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1019","authors":"Miskei M,Antal C,Fuxreiter M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1019","created_at":"2021-09-30T08:24:01.695Z","updated_at":"2021-09-30T11:28:55.359Z"}],"licence_links":[],"grants":[{"id":2800,"fairsharing_record_id":2527,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:25:56.668Z","updated_at":"2021-09-30T09:29:59.180Z","grant_id":500,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"NN 106562","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2799,"fairsharing_record_id":2527,"organisation_id":1891,"relation":"funds","created_at":"2021-09-30T09:25:56.637Z","updated_at":"2021-09-30T09:31:36.769Z","grant_id":1248,"is_lead":false,"saved_state":{"id":1891,"name":"Momentum Program of the Hungarian Academy of Sciences, Hungary","grant":"LP2012-41","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2518","type":"fairsharing_records","attributes":{"created_at":"2017-10-22T16:30:15.000Z","updated_at":"2023-06-23T15:36:41.826Z","metadata":{"doi":"10.25504/FAIRsharing.6y9h91","name":"ProteomicsDB","status":"ready","contacts":[{"contact_email":"proteomicsdb@wzw.tum.de"}],"homepage":"https://www.proteomicsdb.org/","identifier":2518,"description":"ProteomicsDB is a protein-centric in-memory database for the exploration of large collections of quantitative mass spectrometry-based proteomics data. ProteomicsDB was first released in 2014 to enable the interactive exploration of the first draft of the human proteome. To date, it contains quantitative data from 78 projects totalling over 19k LC-MS/MS experiments. A standardized analysis pipeline enables comparisons between multiple datasets to facilitate the exploration of protein expression across hundreds of tissues, body fluids and cell lines. We recently extended the data model to enable the storage and integrated visualization of other quantitative omics data. This includes transcriptomics data from e. g. NCBI GEO, protein-protein interaction information from STRING, functional annotations from KEGG, drug-sensitivity/selectivity data from several public sources and reference mass spectra from the ProteomeTools project. The extended functionality transforms ProteomicsDB into a multi-purpose resource connecting quantification and meta-data for each protein. The rich user interface helps researchers to navigate all data sources in either a protein-centric or multi-protein-centric manner. Several options are available to download data manually, while our application programming interface enables accessing quantitative data systematically.","abbreviation":"PrDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.proteomicsdb.org/proteomicsdb/#faq","name":"Proteomics DB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.proteomicsdb.org/proteomicsdb/#analytics","name":"Analytics","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013408","name":"re3data:r3d100013408","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.proteomicsdb.org/disclaimer","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001001","bsg-d001001"],"name":"FAIRsharing record for: ProteomicsDB","abbreviation":"PrDB","url":"https://fairsharing.org/10.25504/FAIRsharing.6y9h91","doi":"10.25504/FAIRsharing.6y9h91","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProteomicsDB is a protein-centric in-memory database for the exploration of large collections of quantitative mass spectrometry-based proteomics data. ProteomicsDB was first released in 2014 to enable the interactive exploration of the first draft of the human proteome. To date, it contains quantitative data from 78 projects totalling over 19k LC-MS/MS experiments. A standardized analysis pipeline enables comparisons between multiple datasets to facilitate the exploration of protein expression across hundreds of tissues, body fluids and cell lines. We recently extended the data model to enable the storage and integrated visualization of other quantitative omics data. This includes transcriptomics data from e. g. NCBI GEO, protein-protein interaction information from STRING, functional annotations from KEGG, drug-sensitivity/selectivity data from several public sources and reference mass spectra from the ProteomeTools project. The extended functionality transforms ProteomicsDB into a multi-purpose resource connecting quantification and meta-data for each protein. The rich user interface helps researchers to navigate all data sources in either a protein-centric or multi-protein-centric manner. Several options are available to download data manually, while our application programming interface enables accessing quantitative data systematically.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12788}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Proteomics","Life Science","Transcriptomics"],"domains":["Mass spectrum","Molecular interaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1095,"pubmed_id":24870543,"title":"Mass-spectrometry-based draft of the human proteome.","year":2014,"url":"http://doi.org/10.1038/nature13319","authors":"Wilhelm M,Schlegl J,Hahne H,Gholami AM,Lieberenz M,Savitski MM,Ziegler E,Butzmann L,Gessulat S,Marx H,Mathieson T,Lemeer S,Schnatbaum K,Reimer U,Wenschuh H,Mollenhauer M,Slotta-Huspenina J,Boese JH,Bantscheff M,Gerstmair A,Faerber F,Kuster B","journal":"Nature","doi":"10.1038/nature13319","created_at":"2021-09-30T08:24:21.245Z","updated_at":"2021-09-30T08:24:21.245Z"}],"licence_links":[],"grants":[{"id":2783,"fairsharing_record_id":2518,"organisation_id":2720,"relation":"maintains","created_at":"2021-09-30T09:25:56.098Z","updated_at":"2021-09-30T09:25:56.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":2720,"name":"Technical University of Munich","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2504","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T13:56:30.000Z","updated_at":"2023-12-15T10:30:35.854Z","metadata":{"doi":"10.25504/FAIRsharing.hm1mfg","name":"Archaeology Data Service","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"help@archaeologydataservice.ac.uk"}],"homepage":"http://archaeologydataservice.ac.uk/about.xhtml","identifier":2504,"description":"The Archaeology Data Service (ADS) supports research, learning and teaching with freely available, high quality and dependable digital resources. The ADS promotes good practice in the use of digital data in archaeology, it provides technical advice to the research community, and supports the deployment of digital technologies.","abbreviation":"ADS","data_curation":{"type":"none"},"support_links":[{"url":"https://archaeologydataservice.ac.uk/about/help.xhtml","name":"ADS FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/ADS_Update","name":"Twitter","type":"Twitter"}],"year_creation":1996,"data_versioning":"no","associated_tools":[{"url":"http://archaeologydataservice.ac.uk/archsearch/basic.xhtml","name":"ArchSearch"},{"url":"https://archaeologydataservice.ac.uk/archive/","name":"ADS Archives"},{"url":"https://archaeologydataservice.ac.uk/library/","name":"ADS LIbrary"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100000006","name":"re3data:r3d100000006","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://archaeologydataservice.ac.uk/deposit-data/","type":"controlled","notes":"Payment is required to deposit data"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000986","bsg-d000986"],"name":"FAIRsharing record for: Archaeology Data Service","abbreviation":"ADS","url":"https://fairsharing.org/10.25504/FAIRsharing.hm1mfg","doi":"10.25504/FAIRsharing.hm1mfg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Archaeology Data Service (ADS) supports research, learning and teaching with freely available, high quality and dependable digital resources. The ADS promotes good practice in the use of digital data in archaeology, it provides technical advice to the research community, and supports the deployment of digital technologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Archaeology","Humanities","Prehistory","Natural Science","History"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"ADS Terms of Use and Access","licence_id":12,"licence_url":"https://archaeologydataservice.ac.uk/advice/termsOfUseAndAccess.xhtml","link_id":982,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":979,"relation":"undefined"}],"grants":[{"id":2738,"fairsharing_record_id":2504,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:54.232Z","updated_at":"2021-09-30T09:25:54.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2741,"fairsharing_record_id":2504,"organisation_id":117,"relation":"funds","created_at":"2021-09-30T09:25:54.350Z","updated_at":"2021-09-30T09:25:54.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":117,"name":"Arts and Humanities Research Council, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2736,"fairsharing_record_id":2504,"organisation_id":3154,"relation":"maintains","created_at":"2021-09-30T09:25:54.171Z","updated_at":"2021-09-30T09:25:54.171Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2737,"fairsharing_record_id":2504,"organisation_id":3154,"relation":"funds","created_at":"2021-09-30T09:25:54.195Z","updated_at":"2021-09-30T09:25:54.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2739,"fairsharing_record_id":2504,"organisation_id":1252,"relation":"funds","created_at":"2021-09-30T09:25:54.275Z","updated_at":"2021-09-30T09:25:54.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":1252,"name":"Historic Environment Scotland","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2740,"fairsharing_record_id":2504,"organisation_id":1761,"relation":"funds","created_at":"2021-09-30T09:25:54.313Z","updated_at":"2021-09-30T09:25:54.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1761,"name":"Marine Environmental Data and Information Network","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2742,"fairsharing_record_id":2504,"organisation_id":1251,"relation":"funds","created_at":"2021-09-30T09:25:54.392Z","updated_at":"2021-09-30T09:25:54.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":1251,"name":"Historic England, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2505","type":"fairsharing_records","attributes":{"created_at":"2017-08-10T14:57:26.000Z","updated_at":"2024-01-24T06:56:53.904Z","metadata":{"doi":"10.25504/FAIRsharing.w55kwn","name":"DANS-EASY Electronic Archiving System","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"info@dans.knaw.nl"}],"homepage":"https://easy.dans.knaw.nl/ui/home","citations":[],"identifier":2505,"description":"EASY is the online archiving system of Data Archiving and Networked Services (DANS). EASY provides access to thousands of datasets in the humanities, the social sciences and other disciplines. EASY can also be used for the online depositing of research data. DANS encourages researchers to make there digital research data and related outputs Findable, Accessible, Interoperable and Reusable.","abbreviation":"EASY","data_curation":{"type":"not found"},"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010214","name":"re3data:r3d100010214","portal":"re3data"}],"deprecation_date":"2024-01-24","deprecation_reason":"Data Archiving and Networked Services (DANS), part of the Royal Netherlands Academy of Arts and Sciences (KNAW), is abandoning its generic repository EASY, that has now been replaced by four thematic Data Stations:\n- DANS Data Station Archaeology: https://archaeology.datastations.nl\n- DANS Data Station Social Sciences and Humanities: https://ssh.datastations.nl/\n- DANS Data Station Life Sciences: https://lifesciences.datastations.nl\n- DANS Data Station Physical \u0026 Technical Sciences: https://phys-techsciences.datastations.nl","data_access_condition":{"url":"https://easy.dans.knaw.nl/ui/browse;jsessionid=CC70F3B0771961F366BB4C113DBE5A02","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://easy.dans.knaw.nl/ui/deposit;jsessionid=CC70F3B0771961F366BB4C113DBE5A02?wicket:interface=:5::::","type":"controlled","notes":"A login account is required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000987","bsg-d000987"],"name":"FAIRsharing record for: DANS-EASY Electronic Archiving System","abbreviation":"EASY","url":"https://fairsharing.org/10.25504/FAIRsharing.w55kwn","doi":"10.25504/FAIRsharing.w55kwn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EASY is the online archiving system of Data Archiving and Networked Services (DANS). EASY provides access to thousands of datasets in the humanities, the social sciences and other disciplines. EASY can also be used for the online depositing of research data. DANS encourages researchers to make there digital research data and related outputs Findable, Accessible, Interoperable and Reusable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Archaeology","Humanities","Social Science","Earth Science","Life Science","Social and Behavioural Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":2744,"fairsharing_record_id":2505,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:25:54.475Z","updated_at":"2021-09-30T09:25:54.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2743,"fairsharing_record_id":2505,"organisation_id":2464,"relation":"maintains","created_at":"2021-09-30T09:25:54.432Z","updated_at":"2021-09-30T09:25:54.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":2464,"name":"Royal Netherlands Academy of Arts and Sciences","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2542","type":"fairsharing_records","attributes":{"created_at":"2018-01-23T21:04:57.000Z","updated_at":"2023-12-15T10:27:36.155Z","metadata":{"doi":"10.25504/FAIRsharing.kwzydf","name":"Borealis","status":"ready","contacts":[{"contact_name":"Kaitlin Newson","contact_email":"dataverse@scholarsportal.info","contact_orcid":"0000-0001-8739-5823"}],"homepage":"https://borealisdata.ca/","citations":[],"identifier":2542,"description":"Borealis, the Canadian Dataverse Repository, is a bilingual, multidisciplinary, secure, Canadian research data repository, supported by academic libraries and research institutions across Canada. Borealis supports open discovery, management, sharing, and preservation of Canadian research data. Please note this resource used to be called the Scholars Portal Dataverse.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/BorealisData","name":"@BorealisData","type":"Twitter"},{"url":"https://learn.scholarsportal.info/all-guides/borealis/","name":"User Guide","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/scholarsportal/Dataverse-Data-Curation-Tool","name":"Data Curation Tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010691","name":"re3data:r3d100010691","portal":"re3data"}],"data_access_condition":{"url":"https://learn.scholarsportal.info/all-guides/borealis/criteria-for-depositing-data/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://borealisdata.ca/preservationplan/","name":"Borealis Preservation Plan"},"data_deposition_condition":{"url":"https://learn.scholarsportal.info/all-guides/borealis/criteria-for-depositing-data/","type":"controlled","notes":"Deposition for Canadian researchers only"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001025","bsg-d001025"],"name":"FAIRsharing record for: Borealis","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.kwzydf","doi":"10.25504/FAIRsharing.kwzydf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Borealis, the Canadian Dataverse Repository, is a bilingual, multidisciplinary, secure, Canadian research data repository, supported by academic libraries and research institutions across Canada. Borealis supports open discovery, management, sharing, and preservation of Canadian research data. Please note this resource used to be called the Scholars Portal Dataverse.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Experimental measurement","Protocol","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3113,"relation":"applies_to_content"}],"grants":[{"id":2847,"fairsharing_record_id":2542,"organisation_id":2348,"relation":"funds","created_at":"2021-09-30T09:25:58.406Z","updated_at":"2021-09-30T09:25:58.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":2348,"name":"Portage Network","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2848,"fairsharing_record_id":2542,"organisation_id":364,"relation":"funds","created_at":"2021-09-30T09:25:58.436Z","updated_at":"2021-09-30T09:25:58.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":364,"name":"CANARIE Network Enabled Platforms Program","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2849,"fairsharing_record_id":2542,"organisation_id":2244,"relation":"maintains","created_at":"2021-09-30T09:25:58.478Z","updated_at":"2021-09-30T09:25:58.478Z","grant_id":null,"is_lead":true,"saved_state":{"id":2244,"name":"Ontario Council of University Libraries","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbUlDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3807defc12587b0973cb6c06607c3f5ec539606b/homepage-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2543","type":"fairsharing_records","attributes":{"created_at":"2017-11-30T12:31:45.000Z","updated_at":"2023-12-15T10:32:27.729Z","metadata":{"doi":"10.25504/FAIRsharing.hren8w","name":"American Society of Testing and Materials - Standards Repository","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"service@astm.org"}],"homepage":"https://www.astm.org/Standard/standards-and-publications.html","citations":[],"identifier":2543,"description":"The American Society of Testing and Materials - Standards (ASTM Standards) provides an online repository of all ASTM standards, which are used worldwide to improve product quality, enhance safety and facilitate trade. These standards are accessible via a subscription model or can be individually purchased.","abbreviation":"ASTM Standards","data_curation":{"type":"none"},"support_links":[{"url":"https://www.astm.org/CONTACT/index.html","name":"ASTM Contact Form","type":"Contact form"},{"url":"http://www.youtube.com/ASTMIntl","name":"YouTube Channel","type":"Video"},{"url":"https://www.astm.org/RSS/index.html","name":"RSS Feed Information","type":"Blog/News"},{"url":"https://twitter.com/ASTMIntl","name":"@ASTMIntl","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010409","name":"re3data:r3d100010409","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001026","bsg-d001026"],"name":"FAIRsharing record for: American Society of Testing and Materials - Standards Repository","abbreviation":"ASTM Standards","url":"https://fairsharing.org/10.25504/FAIRsharing.hren8w","doi":"10.25504/FAIRsharing.hren8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The American Society of Testing and Materials - Standards (ASTM Standards) provides an online repository of all ASTM standards, which are used worldwide to improve product quality, enhance safety and facilitate trade. These standards are accessible via a subscription model or can be individually purchased.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Engineering Science","Data Governance","Materials Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ASTM International Copyright and Permissions","licence_id":976,"licence_url":"https://www.astm.org/copyright-and-permissions","link_id":2820,"relation":"applies_to_content"}],"grants":[{"id":2850,"fairsharing_record_id":2543,"organisation_id":89,"relation":"maintains","created_at":"2021-09-30T09:25:58.529Z","updated_at":"2021-09-30T09:25:58.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":89,"name":"American Society of Testing and Materials (ASTM) International, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2544","type":"fairsharing_records","attributes":{"created_at":"2018-01-02T16:32:17.000Z","updated_at":"2023-12-15T10:30:37.394Z","metadata":{"doi":"10.25504/FAIRsharing.j3y6a0","name":"Patient-Derived tumor Xenograft Finder","status":"ready","contacts":[{"contact_name":"Zinaida Perova","contact_email":"zina@ebi.ac.uk"}],"homepage":"http://www.pdxfinder.org","citations":[{"doi":"10.1093/nar/gky984","pubmed_id":30535239,"publication_id":2773}],"identifier":2544,"description":"PDX Finder is an open repository for the upload and storage of clinical, genomic and functional Patient-Derived Xenograph (PDX) data which provides a comprehensive global catalogue of PDX models available for researchers across distributed repository databases. Integrated views are provided for histopathological image data, molecular classification of tumors, host mouse strain metadata, tumor genomic data and metrics on tumor response to chemotherapeutics. The data model for PDX Finder is based on the minimal information standard for PDX models developed in collaboration with a broad range of stakeholders who create and/or use PDX models in basic and pre-clinical cancer research.","abbreviation":"PDX Finder","data_curation":{"type":"manual"},"support_links":[{"url":"helpdesk@pdxfinder.org","name":"Helpdesk contact","type":"Support email"},{"url":"http://www.pdxfinder.org/about/","name":"Objectives","type":"Help documentation"},{"url":"http://www.pdxfinder.org/about/data-available-dashboard/","name":"Data Summary","type":"Help documentation"},{"url":"http://www.pdxfinder.org/pdx-data-submission-integration-and-distribution/","name":"Data Flow","type":"Help documentation"},{"url":"https://twitter.com/PDXFinder","name":"@PDXFinder","type":"Twitter"}],"year_creation":2017,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012961","name":"re3data:r3d100012961","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.cancermodels.org/submit","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001027","bsg-d001027"],"name":"FAIRsharing record for: Patient-Derived tumor Xenograft Finder","abbreviation":"PDX Finder","url":"https://fairsharing.org/10.25504/FAIRsharing.j3y6a0","doi":"10.25504/FAIRsharing.j3y6a0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDX Finder is an open repository for the upload and storage of clinical, genomic and functional Patient-Derived Xenograph (PDX) data which provides a comprehensive global catalogue of PDX models available for researchers across distributed repository databases. Integrated views are provided for histopathological image data, molecular classification of tumors, host mouse strain metadata, tumor genomic data and metrics on tumor response to chemotherapeutics. The data model for PDX Finder is based on the minimal information standard for PDX models developed in collaboration with a broad range of stakeholders who create and/or use PDX models in basic and pre-clinical cancer research.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12796}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Translational Medicine","Preclinical Studies"],"domains":["Model organism","Cancer","Tumor","Patient care","Histology","Disease"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Patient derived xenograft PDX"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":2773,"pubmed_id":30535239,"title":"PDX Finder: A portal for patient-derived tumor xenograft model discovery.","year":2018,"url":"http://doi.org/10.1093/nar/gky984","authors":"Conte N,Mason JC,Halmagyi C,Neuhauser S,Mosaku A,Yordanova G,Chatzipli A,Begley DA,Krupke DM,Parkinson H,Meehan TF,Bult CC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky984","created_at":"2021-09-30T08:27:40.878Z","updated_at":"2021-09-30T11:29:43.770Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2304,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2302,"relation":"undefined"},{"licence_name":"The Jackson Laboratory Terms of Use","licence_id":785,"licence_url":"https://www.jax.org/terms-of-use","link_id":2303,"relation":"undefined"}],"grants":[{"id":8297,"fairsharing_record_id":2544,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:31:58.132Z","updated_at":"2021-09-30T09:31:58.186Z","grant_id":1410,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"U24 CA253529 01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2851,"fairsharing_record_id":2544,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:58.570Z","updated_at":"2021-09-30T09:25:58.570Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2852,"fairsharing_record_id":2544,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:25:58.612Z","updated_at":"2021-09-30T09:25:58.612Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2853,"fairsharing_record_id":2544,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:25:58.650Z","updated_at":"2021-09-30T09:29:31.462Z","grant_id":283,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"U24 CA204781 01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8043,"fairsharing_record_id":2544,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:30:36.838Z","updated_at":"2021-09-30T09:30:36.888Z","grant_id":790,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"R01 CA089713","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2545","type":"fairsharing_records","attributes":{"created_at":"2017-11-30T12:59:46.000Z","updated_at":"2023-12-15T10:30:23.065Z","metadata":{"doi":"10.25504/FAIRsharing.khqejc","name":"ThermoML Archive","status":"ready","contacts":[{"contact_name":"Kenneth Kroenlein","contact_email":"kenneth.kroenlein@nist.gov"}],"homepage":"https://www.nist.gov/mml/acmd/trc/thermoml/thermoml-archive","identifier":2545,"description":"The ThermoML Archive is a storage facility of experimental thermophysical and thermochemical property data. The repository was created through the cooperation between the Thermodynamics Research Center (TRC), NIST and: Journal of Chemical and Engineering Data (JCED), Journal of Chemical Thermodynamics, Fluid Phase Equilibria, Thermochimica Acta, and the International Journal of Thermophysics. The ThermoML files corresponding to articles in the journals are available with permission of the journal publishers.","abbreviation":"ThermoML Archive","data_curation":{"url":"https://www.nist.gov/mml/acmd/trc","type":"manual"},"support_links":[{"url":"https://trc.nist.gov/RSS/","name":"RSS Feeds by Journal","type":"Blog/News"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001028","bsg-d001028"],"name":"FAIRsharing record for: ThermoML Archive","abbreviation":"ThermoML Archive","url":"https://fairsharing.org/10.25504/FAIRsharing.khqejc","doi":"10.25504/FAIRsharing.khqejc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ThermoML Archive is a storage facility of experimental thermophysical and thermochemical property data. The repository was created through the cooperation between the Thermodynamics Research Center (TRC), NIST and: Journal of Chemical and Engineering Data (JCED), Journal of Chemical Thermodynamics, Fluid Phase Equilibria, Thermochimica Acta, and the International Journal of Thermophysics. The ThermoML files corresponding to articles in the journals are available with permission of the journal publishers.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11795}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Thermodynamics","Chemistry","Chemical Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2854,"fairsharing_record_id":2545,"organisation_id":2824,"relation":"maintains","created_at":"2021-09-30T09:25:58.683Z","updated_at":"2021-09-30T09:25:58.683Z","grant_id":null,"is_lead":true,"saved_state":{"id":2824,"name":"Thermodynamics Research Center (TRC), National Institute of Standards and Technology (NIST)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2529","type":"fairsharing_records","attributes":{"created_at":"2017-10-19T05:00:53.000Z","updated_at":"2023-12-15T10:29:16.669Z","metadata":{"doi":"10.25504/FAIRsharing.64mr5a","name":"NASA GeneLab","status":"in_development","contacts":[{"contact_name":"Sylvain Costes","contact_email":"sylvain.v.costes@nasa.gov","contact_orcid":"0000-0002-8542-2389"}],"homepage":"https://genelab.nasa.gov/","citations":[{"doi":"10.1093/nar/gkaa887","pubmed_id":33080015,"publication_id":195}],"identifier":2529,"description":"NASA GeneLab expands scientists’ access to experiments that explore the molecular response of terrestrial biology to spaceflight environments. The vast amounts of raw data generated by experiments aboard the International Space Station are being made available to a worldwide community of scientists and computational researchers.","abbreviation":"genelab","data_curation":{"type":"manual"},"support_links":[{"url":"https://genelab.nasa.gov/faq/","name":"GeneLab FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/help/GeneLab_User_Manual_2.0.pdf","name":"User Manual","type":"Help documentation"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/help/GeneLab_Submission_Guide_2.0.pdf","name":"Data Submission Guide","type":"Help documentation"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/ISA/GeneLab_Metadata_Tutorial.pdf","name":"GeneLab ISA Creator Tutorial","type":"Help documentation"},{"url":"https://genelab.nasa.gov/about/","name":"About GeneLab","type":"Help documentation"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/help/Whats_New_GL.pdf","name":"What's New in GeneLab","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","associated_tools":[{"url":"http://www.genomespace.org","name":"GenomeSpace beta4"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013680","name":"re3data:r3d100013680","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_017658","name":"SciCrunch:RRID:SCR_017658","portal":"SciCrunch"}],"data_access_condition":{"url":"https://osdr.nasa.gov/bio/help/terms.html","type":"open","notes":"All data in the Open Science Data Repository continues to be accessible to all users without user authentications."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://osdr.nasa.gov/bio/help/faq.html#2.0","type":"open","notes":"Research Data Submission Agreement"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001012","bsg-d001012"],"name":"FAIRsharing record for: NASA GeneLab","abbreviation":"genelab","url":"https://fairsharing.org/10.25504/FAIRsharing.64mr5a","doi":"10.25504/FAIRsharing.64mr5a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NASA GeneLab expands scientists’ access to experiments that explore the molecular response of terrestrial biology to spaceflight environments. The vast amounts of raw data generated by experiments aboard the International Space Station are being made available to a worldwide community of scientists and computational researchers.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12793}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metagenomics","Genomics","Epigenetics","Proteomics","Life Science","Metabolomics","Transcriptomics","Systems Biology"],"domains":["Omics data analysis"],"taxonomies":["Acinetobacter pittii","Arabidopsis thaliana","Aspergillus fumigatus","Aspergillus niger","Aspergillus terreus","Aureobasidium pullulans","Bacillus","Bacillus subtilis","Beauveria bassiana","Brassica rapa","Caenorhabditis elegans","Candida albicans","Ceratopteris richardii","Cladosporium cladosporioides","Cladosporium sphaerospermum","Danio rerio","Daphnia magna","Drosophila melanogaster","Enterobacter","Enterobacteria phage lambda","environmental samples","Escherichia coli","Euprymna scolopes","Fusarium solani","Homo sapiens","Klebsiella","Microbiota","Mus musculus","Mycobacterium marinum","Oryzias latipes","Pantoea conspicua","Pseudomonas aeruginosa","Rattus norvegicus","Rhodospirillum rubrum","Saccharomyces cerevisiae","Staphylococcus","Staphylococcus aureus","Streptococcus mutans","Trichoderma virens"],"user_defined_tags":["Multi-omics"],"countries":["United States"],"publications":[{"id":185,"pubmed_id":30815061,"title":"FAIRness and Usability for Open-access Omics Data Systems.","year":2019,"url":"https://www.ncbi.nlm.nih.gov/pubmed/30815061","authors":"Berrios DC,Beheshti A,Costes SV","journal":"AMIA Annu Symp Proc","doi":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371294/","created_at":"2021-09-30T08:22:40.272Z","updated_at":"2021-09-30T08:22:40.272Z"},{"id":195,"pubmed_id":33080015,"title":"NASA GeneLab: interfaces for the exploration of space omics data.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa887","authors":"Berrios DC,Galazka J,Grigorev K,Gebre S,Costes SV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa887","created_at":"2021-09-30T08:22:41.345Z","updated_at":"2021-09-30T11:28:43.941Z"}],"licence_links":[],"grants":[{"id":2807,"fairsharing_record_id":2529,"organisation_id":1934,"relation":"maintains","created_at":"2021-09-30T09:25:56.903Z","updated_at":"2021-09-30T09:25:56.903Z","grant_id":null,"is_lead":true,"saved_state":{"id":1934,"name":"NASA Ames Research Center, CA, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2806,"fairsharing_record_id":2529,"organisation_id":1935,"relation":"funds","created_at":"2021-09-30T09:25:56.861Z","updated_at":"2021-09-30T09:25:56.861Z","grant_id":null,"is_lead":false,"saved_state":{"id":1935,"name":"NASA Biological and Physical Sciences Division","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2549","type":"fairsharing_records","attributes":{"created_at":"2018-01-05T15:13:50.000Z","updated_at":"2023-06-23T14:46:32.550Z","metadata":{"doi":"10.25504/FAIRsharing.qtm44s","name":"UK Data Archive","status":"ready","contacts":[{"contact_name":"Contact email","contact_email":"info@data-archive.ac.uk"}],"homepage":"http://www.data-archive.ac.uk","identifier":2549,"description":"The UK Data Archive is an internationally acknowledged centre of expertise in acquiring, curating and providing access to social science and humanities data. We were founded in 1967, at the University of Essex, with the support of the then Social Science Research Council, with the aim of curating high-quality research data for analysis and reuse. The Economic and Social Research Council (ESRC) has continued to provide long-term commitment to the Data Archive and we are now a significant part of their UK data infrastructure. Since 2005 we have been designated a Place of Deposit by the National Archives, allowing us to curate public records. The UK Data Archive is the lead organisation of the UK Data Service, which provides unified access to the UK's largest collection of social, economic and population data. Funded by the ESRC, the UK Data Service provides access to regional, national and international social and economic data, support for policy-relevant research and guidance and training for the development of skills in data use.","abbreviation":"UKDA","data_curation":{"url":"https://www.data-archive.ac.uk/managing-data/digital-curation-and-data-publishing/curation-process/","type":"manual/automated"},"support_links":[{"url":"http://www.data-archive.ac.uk/curate","name":"Curation guide","type":"Help documentation"}],"year_creation":1967,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010215","name":"re3data:r3d100010215","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014708","name":"SciCrunch:RRID:SCR_014708","portal":"SciCrunch"}],"data_access_condition":{"url":"Free registration is required.","type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.data-archive.ac.uk/deposit/","type":"open","notes":"All offers and deposits of data to be curated at the UK Data Archive are managed through the UK Data Service."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001032","bsg-d001032"],"name":"FAIRsharing record for: UK Data Archive","abbreviation":"UKDA","url":"https://fairsharing.org/10.25504/FAIRsharing.qtm44s","doi":"10.25504/FAIRsharing.qtm44s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Data Archive is an internationally acknowledged centre of expertise in acquiring, curating and providing access to social science and humanities data. We were founded in 1967, at the University of Essex, with the support of the then Social Science Research Council, with the aim of curating high-quality research data for analysis and reuse. The Economic and Social Research Council (ESRC) has continued to provide long-term commitment to the Data Archive and we are now a significant part of their UK data infrastructure. Since 2005 we have been designated a Place of Deposit by the National Archives, allowing us to curate public records. The UK Data Archive is the lead organisation of the UK Data Service, which provides unified access to the UK's largest collection of social, economic and population data. Funded by the ESRC, the UK Data Service provides access to regional, national and international social and economic data, support for policy-relevant research and guidance and training for the development of skills in data use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Humanities","Social Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":2861,"fairsharing_record_id":2549,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:58.971Z","updated_at":"2021-09-30T09:25:58.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2864,"fairsharing_record_id":2549,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:25:59.083Z","updated_at":"2021-09-30T09:25:59.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2866,"fairsharing_record_id":2549,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:25:59.162Z","updated_at":"2021-09-30T09:25:59.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2860,"fairsharing_record_id":2549,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:58.913Z","updated_at":"2021-09-30T09:25:58.913Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2862,"fairsharing_record_id":2549,"organisation_id":1600,"relation":"funds","created_at":"2021-09-30T09:25:59.012Z","updated_at":"2021-09-30T09:25:59.012Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2863,"fairsharing_record_id":2549,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:25:59.050Z","updated_at":"2021-09-30T09:25:59.050Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2865,"fairsharing_record_id":2549,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:59.120Z","updated_at":"2021-09-30T09:25:59.120Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2550","type":"fairsharing_records","attributes":{"created_at":"2018-01-25T18:23:37.000Z","updated_at":"2024-04-08T10:34:35.640Z","metadata":{"doi":"10.25504/FAIRsharing.brrt0b","name":"Datasets2Tools","status":"ready","contacts":[{"contact_name":"Avi Ma'ayan","contact_email":"avi.maayan@mssm.edu","contact_orcid":"0000-0002-6904-1017"}],"homepage":"https://maayanlab.cloud/datasets2tools","citations":[],"identifier":2550,"description":"Biomedical data repositories such as the Gene Expression Omnibus (GEO) enable the search and discovery of relevant biomedical digital data objects. Similarly, resources such as OMICtools index bioinformatics tools that can extract knowledge from these digital data objects. However, systematic access to pre-generated “canned\" analyses applied by bioinformatics tools to biomedical digital data objects is currently not available. Datasets2Tools is a repository indexing 31,473 canned bioinformatics analyses applied to 6,431 datasets. The Datasets2Tools repository also contains the indexing of 4,901 published bioinformatics software tools, and all the analyzed datasets. Datasets2Tools enables users to rapidly find datasets, tools, and canned analyses through an intuitive web interface, a Google Chrome extension, and an API. Furthermore, Datasets2Tools provides a platform for contributing canned analyses, datasets, and tools, as well as evaluating these digital objects according to their compliance with the findable, accessible, interoperable, and reusable (FAIR) principles. By incorporating community engagement, Datasets2Tools promotes sharing of digital resources to stimulate the extraction of knowledge from biomedical research data.","abbreviation":"D2T","data_curation":{"url":"https://maayanlab.cloud/datasets2tools/help","type":"manual","notes":"Curation done by the user"},"support_links":[{"url":"https://maayanlab.cloud/datasets2tools/help","name":"","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","associated_tools":[{"url":"https://maayanlab.cloud/Enrichr/","name":"Enrichr 1.0"},{"url":"https://maayanlab.cloud/g2e/","name":"GEO2Enrichr 1.0"},{"url":"https://maayanlab.cloud/archs4/","name":"ARCHS4 1.0"}],"data_access_condition":{"url":"https://maayanlab.cloud/datasets2tools/help","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://maayanlab.cloud/datasets2tools/help","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001033","bsg-d001033"],"name":"FAIRsharing record for: Datasets2Tools","abbreviation":"D2T","url":"https://fairsharing.org/10.25504/FAIRsharing.brrt0b","doi":"10.25504/FAIRsharing.brrt0b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biomedical data repositories such as the Gene Expression Omnibus (GEO) enable the search and discovery of relevant biomedical digital data objects. Similarly, resources such as OMICtools index bioinformatics tools that can extract knowledge from these digital data objects. However, systematic access to pre-generated “canned\" analyses applied by bioinformatics tools to biomedical digital data objects is currently not available. Datasets2Tools is a repository indexing 31,473 canned bioinformatics analyses applied to 6,431 datasets. The Datasets2Tools repository also contains the indexing of 4,901 published bioinformatics software tools, and all the analyzed datasets. Datasets2Tools enables users to rapidly find datasets, tools, and canned analyses through an intuitive web interface, a Google Chrome extension, and an API. Furthermore, Datasets2Tools provides a platform for contributing canned analyses, datasets, and tools, as well as evaluating these digital objects according to their compliance with the findable, accessible, interoperable, and reusable (FAIR) principles. By incorporating community engagement, Datasets2Tools promotes sharing of digital resources to stimulate the extraction of knowledge from biomedical research data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics"],"domains":["Analysis","Software","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":602,"relation":"undefined"}],"grants":[{"id":2867,"fairsharing_record_id":2550,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:25:59.200Z","updated_at":"2021-09-30T09:25:59.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11535,"fairsharing_record_id":2550,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:09.535Z","updated_at":"2024-03-21T13:58:09.785Z","grant_id":1679,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54HL127624","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2552","type":"fairsharing_records","attributes":{"created_at":"2018-02-13T16:03:33.000Z","updated_at":"2023-12-15T10:32:40.999Z","metadata":{"doi":"10.25504/FAIRsharing.8gzcwa","name":"UniCarb-DB","status":"ready","contacts":[{"contact_name":"Niclas Karlsson","contact_email":"niclas.karlsson@medkem.gu.se","contact_orcid":"0000-0002-3045-2628"}],"homepage":"https://unicarb-db.expasy.org/","citations":[{"doi":"10.1016/j.bbapap.2013.04.018","pubmed_id":23624262,"publication_id":2188}],"identifier":2552,"description":"UniCarb-DB is a curated database of glycomic mass spectrometry fragment data.","abbreviation":"UniCarb-DB","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NG_Karlsson","name":"@NG_Karlsson","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://unicarb-db.expasy.org/about","type":"open","notes":"There is no online form to submit data, but potential contributors are welcome and should contact the database."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001035","bsg-d001035"],"name":"FAIRsharing record for: UniCarb-DB","abbreviation":"UniCarb-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.8gzcwa","doi":"10.25504/FAIRsharing.8gzcwa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniCarb-DB is a curated database of glycomic mass spectrometry fragment data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Health Science","Glycomics","Biomedical Science"],"domains":["Mass spectrum"],"taxonomies":["All"],"user_defined_tags":["Glycome"],"countries":["Australia","Germany","Ireland","Japan","Sweden","Switzerland"],"publications":[{"id":2188,"pubmed_id":23624262,"title":"Validation of the curation pipeline of UniCarb-DB: building a global glycan reference MS/MS repository.","year":2013,"url":"http://doi.org/10.1016/j.bbapap.2013.04.018","authors":"Campbell MP,Nguyen-Khuong T,Hayes CA,Flowers SA,Alagesan K,Kolarich D,Packer NH,Karlsson NG","journal":"Biochim Biophys Acta","doi":"10.1016/j.bbapap.2013.04.018","created_at":"2021-09-30T08:26:26.671Z","updated_at":"2021-09-30T08:26:26.671Z"},{"id":2532,"pubmed_id":27743371,"title":"Databases and Associated Tools for Glycomics and Glycoproteomics.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6493-2_18","authors":"Lisacek F,Mariethoz J,Alocci D,Rudd PM,Abrahams JL,Campbell MP,Packer NH,Stahle J,Widmalm G,Mullen E,Adamczyk B,Rojas-Macias MA,Jin C,Karlsson NG","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6493-2_18","created_at":"2021-09-30T08:27:10.643Z","updated_at":"2021-09-30T08:27:10.643Z"},{"id":2795,"pubmed_id":21398669,"title":"UniCarb-DB: a database resource for glycomic discovery.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr137","authors":"Hayes CA,Karlsson NG,Struwe WB,Lisacek F,Rudd PM,Packer NH,Campbell MP","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr137","created_at":"2021-09-30T08:27:43.662Z","updated_at":"2021-09-30T08:27:43.662Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0 )","licence_id":178,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0","link_id":205,"relation":"undefined"}],"grants":[{"id":2873,"fairsharing_record_id":2552,"organisation_id":3058,"relation":"maintains","created_at":"2021-09-30T09:25:59.399Z","updated_at":"2021-09-30T09:25:59.399Z","grant_id":null,"is_lead":true,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2872,"fairsharing_record_id":2552,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:59.370Z","updated_at":"2021-09-30T09:25:59.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2874,"fairsharing_record_id":2552,"organisation_id":2591,"relation":"maintains","created_at":"2021-09-30T09:25:59.423Z","updated_at":"2021-09-30T09:25:59.423Z","grant_id":null,"is_lead":false,"saved_state":{"id":2591,"name":"Soka University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2875,"fairsharing_record_id":2552,"organisation_id":1741,"relation":"maintains","created_at":"2021-09-30T09:25:59.454Z","updated_at":"2021-09-30T09:25:59.454Z","grant_id":null,"is_lead":false,"saved_state":{"id":1741,"name":"Macquarie University, Sydney, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2533","type":"fairsharing_records","attributes":{"created_at":"2017-11-28T21:57:54.000Z","updated_at":"2023-12-15T10:28:56.486Z","metadata":{"doi":"10.25504/FAIRsharing.8nq9t6","name":"The Network Data Exchange","status":"ready","contacts":[{"contact_name":"Rudolf T. Pillich","contact_email":"rpillich@ucsd.edu","contact_orcid":"0000-0001-8682-0568"}],"homepage":"https://www.ndexbio.org","citations":[{"doi":"10.1007/978-1-4939-6783-4_13","pubmed_id":28150243,"publication_id":1966},{"doi":"10.1016/j.cels.2015.10.001","pubmed_id":26594663,"publication_id":1969},{"doi":"10.1158/0008-5472.CAN-17-0606","pubmed_id":29092941,"publication_id":1992},{"doi":"10.1002/cpz1.258","pubmed_id":null,"publication_id":3151}],"identifier":2533,"description":"NDEx is an online commons where scientists can upload, share, and publicly distribute biological networks and pathway models. The NDEx Project maintains a web-accessible public server, a documentation website, provides seamless connectivity to Cytoscape as well as programmatic access using a variety of languages including Python and Java and R. NDEx users can easily create accounts or sign in using their Google credentials thanks to the supported open authentication (OAUTH2) method and mint DOIs for their networks to use in publications or include in other resources for long term access.","abbreviation":"NDEx","data_curation":{"type":"not found"},"support_links":[{"url":"https://home.ndexbio.org","name":"Informational Website","type":"Blog/News"},{"url":"https://home.ndexbio.org/contact-us/","name":"Contact Us","type":"Contact form"},{"url":"https://home.ndexbio.org/quick-start","name":"User manuals \u0026 Technical docs","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCc7J1020F7e25F-zWEMtM0A","name":"Youtube","type":"Video"},{"url":"https://twitter.com/NDExProject","name":"Twitter Feed","type":"Twitter"},{"url":"https://github.com/ndexbio/ndex-jupyter-notebooks","name":"NDEx Jupyter Notebook Tutorials","type":"Training documentation"},{"url":"https://home.ndexbio.org/faq/","name":"NDEx FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/ndexbio","name":"NDEx Code Repository","type":"Github"},{"url":"https://home.ndexbio.org/release-notes/","name":"NDEx Release Notes","type":"Help documentation"},{"url":"https://home.ndexbio.org/report-a-bug/","name":"Report a Bug","type":"Contact form"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://cytoscape.org/","name":"Cytoscape desktop application for network analysis"},{"url":"http://apps.cytoscape.org/apps/cyndex2","name":"CyNDEx-2 (Cytoscape Core App) "},{"url":"https://www.ndexbio.org/iquery/","name":"NDEx Integrated Query (IQuery)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012690","name":"re3data:r3d100012690","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003943","name":"SciCrunch:RRID:SCR_003943","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://home.ndexbio.org/publishing-in-ndex/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001016","bsg-d001016"],"name":"FAIRsharing record for: The Network Data Exchange","abbreviation":"NDEx","url":"https://fairsharing.org/10.25504/FAIRsharing.8nq9t6","doi":"10.25504/FAIRsharing.8nq9t6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NDEx is an online commons where scientists can upload, share, and publicly distribute biological networks and pathway models. The NDEx Project maintains a web-accessible public server, a documentation website, provides seamless connectivity to Cytoscape as well as programmatic access using a variety of languages including Python and Java and R. NDEx users can easily create accounts or sign in using their Google credentials thanks to the supported open authentication (OAUTH2) method and mint DOIs for their networks to use in publications or include in other resources for long term access.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10821},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12330},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12794}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Microbiology","Epidemiology"],"domains":["Network model","Cancer","Molecular interaction","Genetic interaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":1966,"pubmed_id":28150243,"title":"NDEx: A Community Resource for Sharing and Publishing of Biological Networks.","year":2017,"url":"http://doi.org/10.1007/978-1-4939-6783-4_13","authors":"Pillich RT,Chen J,Rynkov V,Welker D,Pratt D","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6783-4_13","created_at":"2021-09-30T08:26:01.290Z","updated_at":"2021-09-30T08:26:01.290Z"},{"id":1969,"pubmed_id":26594663,"title":"NDEx, the Network Data Exchange.","year":2015,"url":"http://doi.org/10.1016/j.cels.2015.10.001","authors":"Pratt D,Chen J,Welker D,Rivas R,Pillich R,Rynkov V,Ono K,Miello C,Hicks L,Szalma S,Stojmirovic A,Dobrin R,Braxenthaler M,Kuentzer J,Demchak B,Ideker T","journal":"Cell Syst","doi":"10.1016/j.cels.2015.10.001","created_at":"2021-09-30T08:26:01.606Z","updated_at":"2021-09-30T08:26:01.606Z"},{"id":1992,"pubmed_id":29092941,"title":"NDEx 2.0: A Clearinghouse for Research on Cancer Pathways.","year":2017,"url":"http://doi.org/10.1158/0008-5472.CAN-17-0606","authors":"Pratt D,Chen J,Pillich R,Rynkov V,Gary A,Demchak B,Ideker T","journal":"Cancer Res","doi":"10.1158/0008-5472.CAN-17-0606","created_at":"2021-09-30T08:26:04.240Z","updated_at":"2021-09-30T08:26:04.240Z"},{"id":3151,"pubmed_id":null,"title":"NDEx: Accessing Network Models and Streamlining Network Biology Workflows","year":2021,"url":"http://dx.doi.org/10.1002/cpz1.258","authors":"Pillich, Rudolf T.; Chen, Jing; Churas, Christopher; Liu, Sophie; Ono, Keiichiro; Otasek, David; Pratt, Dexter; ","journal":"Current Protocols","doi":"10.1002/cpz1.258","created_at":"2021-12-09T19:42:28.391Z","updated_at":"2021-12-09T19:42:28.391Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":553,"relation":"undefined"},{"licence_name":"NDEx Terms, License and Sources","licence_id":566,"licence_url":"https://www.home.ndexbio.org/disclaimer-license/","link_id":552,"relation":"undefined"}],"grants":[{"id":2817,"fairsharing_record_id":2533,"organisation_id":218,"relation":"undefined","created_at":"2021-09-30T09:25:57.266Z","updated_at":"2021-09-30T09:25:57.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":218,"name":"BindingDB","types":["Lab"],"is_lead":false,"relation":"undefined"}},{"id":2819,"fairsharing_record_id":2533,"organisation_id":630,"relation":"maintains","created_at":"2021-09-30T09:25:57.345Z","updated_at":"2021-09-30T09:25:57.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":630,"name":"Cytoscape","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2815,"fairsharing_record_id":2533,"organisation_id":1955,"relation":"funds","created_at":"2021-09-30T09:25:57.186Z","updated_at":"2021-09-30T09:31:59.154Z","grant_id":1417,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","grant":"5U24CA184427-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2818,"fairsharing_record_id":2533,"organisation_id":340,"relation":"funds","created_at":"2021-09-30T09:25:57.303Z","updated_at":"2021-09-30T09:25:57.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":340,"name":"California Digital Library (CDL), University of California, Oakland, CA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2816,"fairsharing_record_id":2533,"organisation_id":1310,"relation":"maintains","created_at":"2021-09-30T09:25:57.227Z","updated_at":"2021-12-09T19:43:51.545Z","grant_id":null,"is_lead":true,"saved_state":{"id":1310,"name":"Ideker Lab, School of Medicine, UC San Diego","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2534","type":"fairsharing_records","attributes":{"created_at":"2017-11-14T14:58:18.000Z","updated_at":"2024-03-21T13:59:26.402Z","metadata":{"doi":"10.25504/FAIRsharing.d33rx4","name":"ChannelsDB","status":"ready","contacts":[{"contact_name":"Karel Berka","contact_email":"karel.berka@upol.cz","contact_orcid":"0000-0001-9472-2589"}],"homepage":"https://channelsdb.ncbr.muni.cz/","citations":[],"identifier":2534,"description":"ChannelsDB is a comprehensive and regularly updated resource of channels, pores and tunnels found in biomacromolecules deposited in the Protein Data Bank. The database contains information about channel positions, geometry and physicochemical properties.","abbreviation":null,"data_curation":{"url":"https://channelsdb.ncbr.muni.cz/documentation.html#db-content","type":"manual","notes":"Manually curated channel annotations from literature extracted entries"},"support_links":[{"url":"https://channelsdb.ncbr.muni.cz/documentation.html","name":"Documentation","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"http://mole.upol.cz/","name":"MOLE 2.5"},{"url":"https://litemol.org/","name":"Litemol"}],"data_access_condition":{"url":"https://channelsdb.ncbr.muni.cz/gdpr.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://channelsdb.ncbr.muni.cz/contribute.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001017","bsg-d001017"],"name":"FAIRsharing record for: ChannelsDB","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.d33rx4","doi":"10.25504/FAIRsharing.d33rx4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChannelsDB is a comprehensive and regularly updated resource of channels, pores and tunnels found in biomacromolecules deposited in the Protein Data Bank. The database contains information about channel positions, geometry and physicochemical properties.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12795}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Channel","Molecular structure","Protein structure","Molecular function","Enzyme"],"taxonomies":["All"],"user_defined_tags":["Physical properties"],"countries":["Czech Republic"],"publications":[{"id":1970,"pubmed_id":29036719,"title":"ChannelsDB: database of biomacromolecular tunnels and pores.","year":2017,"url":"http://doi.org/10.1093/nar/gkx868","authors":"Pravda L,Sehnal D,Svobodova Varekova R,Navratilova V,Tousek D,Berka K,Otyepka M,Koca J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx868","created_at":"2021-09-30T08:26:01.713Z","updated_at":"2021-09-30T11:29:25.010Z"}],"licence_links":[{"licence_name":"ChannelsDB Terms of Use","licence_id":948,"licence_url":"https://channelsdb.ncbr.muni.cz/gdpr.html","link_id":2738,"relation":"applies_to_content"}],"grants":[{"id":8136,"fairsharing_record_id":2534,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:31:09.323Z","updated_at":"2021-09-30T09:31:09.381Z","grant_id":1043,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LQ1601","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2825,"fairsharing_record_id":2534,"organisation_id":840,"relation":"funds","created_at":"2021-09-30T09:25:57.588Z","updated_at":"2021-09-30T09:25:57.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2821,"fairsharing_record_id":2534,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:25:57.414Z","updated_at":"2021-09-30T09:29:06.434Z","grant_id":96,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LO1305","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2820,"fairsharing_record_id":2534,"organisation_id":1767,"relation":"maintains","created_at":"2021-09-30T09:25:57.382Z","updated_at":"2021-09-30T09:25:57.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":1767,"name":"Masaryk University (MU), Brno, Czech Republic","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2824,"fairsharing_record_id":2534,"organisation_id":2286,"relation":"funds","created_at":"2021-09-30T09:25:57.515Z","updated_at":"2021-09-30T09:30:16.221Z","grant_id":629,"is_lead":false,"saved_state":{"id":2286,"name":"Palacky University, Olomouc, Czech Republic","grant":"IGA_PrF_2017_028","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2823,"fairsharing_record_id":2534,"organisation_id":633,"relation":"funds","created_at":"2021-09-30T09:25:57.478Z","updated_at":"2021-09-30T09:32:32.764Z","grant_id":1668,"is_lead":false,"saved_state":{"id":633,"name":"Czech Science Foundation (GACR), Czech Republic","grant":"P208/12/G016","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7876,"fairsharing_record_id":2534,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:29:19.924Z","updated_at":"2021-09-30T09:29:19.991Z","grant_id":199,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LM2015047","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10008,"fairsharing_record_id":2534,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.644Z","updated_at":"2022-10-13T09:43:38.644Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":11595,"fairsharing_record_id":2534,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:25.762Z","updated_at":"2024-03-21T13:59:26.300Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbFVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--314f123b2260aef75b46c587e6a7b366c6832eb6/channelsdb_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2535","type":"fairsharing_records","attributes":{"created_at":"2017-11-16T11:09:44.000Z","updated_at":"2023-12-15T10:31:11.202Z","metadata":{"doi":"10.25504/FAIRsharing.y9x8wk","name":"Natural Product-Drug Interaction Research Data Repository","status":"in_development","contacts":[{"contact_name":"Richard Boyce","contact_email":"rdb20@pitt.edu","contact_orcid":"0000-0002-2993-2085"}],"homepage":"https://repo.napdi.org/","identifier":2535,"description":"The Natural Product-Drug Interaction Research Data Repository, a publicly accessible database where researchers can access scientific results, raw data, and recommended approaches to optimally assess the clinical significance of pharmacokinetic natural product-drug interactions (PK-NPDIs). The repository is funded by the United States National Center for Complementary and Integrative Health.","abbreviation":"NaPDI","data_curation":{"type":"not found"},"support_links":[{"url":"https://forums.dikb.org/c/npdi","name":"Natural product-drug interactions topic on forums.dikb.org","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001018","bsg-d001018"],"name":"FAIRsharing record for: Natural Product-Drug Interaction Research Data Repository","abbreviation":"NaPDI","url":"https://fairsharing.org/10.25504/FAIRsharing.y9x8wk","doi":"10.25504/FAIRsharing.y9x8wk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Natural Product-Drug Interaction Research Data Repository, a publicly accessible database where researchers can access scientific results, raw data, and recommended approaches to optimally assess the clinical significance of pharmacokinetic natural product-drug interactions (PK-NPDIs). The repository is funded by the United States National Center for Complementary and Integrative Health.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Pharmacology","Biomedical Science"],"domains":["Drug interaction","Natural product"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2452,"pubmed_id":29743102,"title":"Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0183-z","authors":"Judkins J,Tay-Sontheimer J,Boyce RD,Brochhausen M","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0183-z","created_at":"2021-09-30T08:27:00.787Z","updated_at":"2021-09-30T08:27:00.787Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":892,"relation":"undefined"}],"grants":[{"id":2826,"fairsharing_record_id":2535,"organisation_id":2956,"relation":"funds","created_at":"2021-09-30T09:25:57.624Z","updated_at":"2021-09-30T09:29:52.338Z","grant_id":444,"is_lead":false,"saved_state":{"id":2956,"name":"United States National Center for Complementary and Integrative Health (NCCAM)","grant":"U54AT008909","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2538","type":"fairsharing_records","attributes":{"created_at":"2017-11-20T20:52:09.000Z","updated_at":"2022-09-08T13:35:03.656Z","metadata":{"doi":"10.25504/FAIRsharing.x6y19r","name":"Citrination","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"info@citrine.io"}],"homepage":"https://citrination.com/","citations":[],"identifier":2538,"description":"Citrination is an open database and analytics platform for material and chemical information. Registration is required to access all data, but is free for academics, researchers and other non-commercial users.","abbreviation":"Citrination","data_curation":{"type":"manual","notes":"Users add metadata to their own datasets"},"support_links":[{"url":"https://citrination.com/faq","name":"Citrination FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.citrination.com/","name":"Help Knowledgebase","type":"Help documentation"},{"url":"https://github.com/CitrineInformatics/learn-citrination","name":"API Tutorials","type":"Github"},{"url":"http://citrine.us3.list-manage1.com/subscribe?u=014639e57e11aa6a7d2f2e4a8\u0026id=60e6d7fee0","name":"Newsletter","type":"Mailing list"},{"url":"https://citrination.com/tos","name":"Terms of Service","type":"Help documentation"},{"url":"https://citrination.com/privacy","name":"Privacy Policy","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012077","name":"re3data:r3d100012077","portal":"re3data"}],"deprecation_date":"2022-09-08","deprecation_reason":"As of September 19th, 2022, Open Citrination is decomissioned. All public datasets will remain available for download at their existing URLs (including DOIs) after this change, without any user action required. Existing links to public datasets will allow anyone with the link to view and download. All private datasets are inaccessible after September 19th, as are machine learning, data analysis, and data visualization capabilities. Questions can be directed to support@citrination.net.","data_access_condition":{"type":"open","notes":"Requires free login"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001021","bsg-d001021"],"name":"FAIRsharing record for: Citrination","abbreviation":"Citrination","url":"https://fairsharing.org/10.25504/FAIRsharing.x6y19r","doi":"10.25504/FAIRsharing.x6y19r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Citrination is an open database and analytics platform for material and chemical information. Registration is required to access all data, but is free for academics, researchers and other non-commercial users.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11794}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Materials Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Citrination Copyright","licence_id":130,"licence_url":"https://citrination.com/dmca","link_id":932,"relation":"applies_to_content"},{"licence_name":"Citrination Data Licence","licence_id":131,"licence_url":"https://citrination.com/datamanagement","link_id":940,"relation":"applies_to_content"}],"grants":[{"id":2833,"fairsharing_record_id":2538,"organisation_id":526,"relation":"maintains","created_at":"2021-09-30T09:25:57.911Z","updated_at":"2021-09-30T09:25:57.911Z","grant_id":null,"is_lead":true,"saved_state":{"id":526,"name":"Citrine Informatics, Redwood City, CA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBY1U9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--5702044a060d98d8712e728da6ce3cd05d990d1b/citlogo.png?disposition=inline","exhaustive_licences":false}},{"id":"2539","type":"fairsharing_records","attributes":{"created_at":"2017-11-20T21:08:22.000Z","updated_at":"2023-12-15T10:30:25.754Z","metadata":{"doi":"10.25504/FAIRsharing.b952rv","name":"NASA/IPAC Extragalactic Database","status":"ready","contacts":[{"contact_name":"Joseph M. Mazzarella","contact_email":"mazz@ipac.caltech.edu"}],"homepage":"https://ned.ipac.caltech.edu/","identifier":2539,"description":"NASA/IPAC Extragalactic Database (NED) is a comprehensive database of multiwavelength data for extragalactic objects, providing a systematic, ongoing fusion of information integrated from hundreds of large sky surveys and tens of thousands of research publications. The contents and services span the entire observed spectrum from gamma rays through radio frequencies. As new observations are published, they are cross- identified or statistically associated with previous data and integrated into a unified database to simplify queries and retrieval.","abbreviation":"NED","data_curation":{"type":"not found"},"support_links":[{"url":"https://ned.ipac.caltech.edu/contact/NED","name":"NED Contact Form","type":"Contact form"},{"url":"https://ned.ipac.caltech.edu/Documents/Guides","name":"User Guides","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=BCW6awQ2o4Q","name":"Video Overview","type":"Video"},{"url":"https://www.youtube.com/channel/UCogUNzCeGRfCr2gYi0sqbOg","name":"YouTube Channel","type":"Video"},{"url":"https://ned.ipac.caltech.edu/Documents/Overview/Release","name":"Release Notes","type":"Help documentation"},{"url":"https://ned.ipac.caltech.edu/Documents/Overview","name":"About NED","type":"Help documentation"}],"year_creation":1988,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010525","name":"re3data:r3d100010525","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001022","bsg-d001022"],"name":"FAIRsharing record for: NASA/IPAC Extragalactic Database","abbreviation":"NED","url":"https://fairsharing.org/10.25504/FAIRsharing.b952rv","doi":"10.25504/FAIRsharing.b952rv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NASA/IPAC Extragalactic Database (NED) is a comprehensive database of multiwavelength data for extragalactic objects, providing a systematic, ongoing fusion of information integrated from hundreds of large sky surveys and tens of thousands of research publications. The contents and services span the entire observed spectrum from gamma rays through radio frequencies. As new observations are published, they are cross- identified or statistically associated with previous data and integrated into a unified database to simplify queries and retrieval.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Extragalactic objects"],"countries":["United States"],"publications":[{"id":2102,"pubmed_id":null,"title":"Evolution of the NASA/IPAC Extragalactic Database (NED) into a Data Mining Discovery Engine","year":2016,"url":"https://doi.org/10.1017/S1743921316013132","authors":"Mazzarella, Joseph M.; NED Team","journal":"Proceedings of the International Astronomical Union","doi":null,"created_at":"2021-09-30T08:26:16.884Z","updated_at":"2021-09-30T08:26:16.884Z"}],"licence_links":[],"grants":[{"id":2835,"fairsharing_record_id":2539,"organisation_id":1599,"relation":"maintains","created_at":"2021-09-30T09:25:57.986Z","updated_at":"2021-09-30T09:25:57.986Z","grant_id":null,"is_lead":true,"saved_state":{"id":1599,"name":"Jet Propulsion Laboratory, California Institute of Technology, NASA, Pasadena, CA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":2834,"fairsharing_record_id":2539,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:57.950Z","updated_at":"2021-09-30T09:25:57.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2540","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T11:14:06.000Z","updated_at":"2023-06-23T09:56:25.968Z","metadata":{"doi":"10.25504/FAIRsharing.z4xpxx","name":"AgroPortal","status":"ready","contacts":[{"contact_name":"Clement Jonquet","contact_email":"jonquet@lirmm.fr","contact_orcid":"0000-0002-2404-1582"}],"homepage":"http://agroportal.lirmm.fr","citations":[{"doi":"10.1016/j.compag.2017.10.012","publication_id":1359}],"identifier":2540,"description":"AgroPortal is an ontology repository for agronomy as well as food, plant, agriculture and biodiversity sciences. It provides ontology hosting, search, versioning, visualization, comment, and recommendation; enables semantic annotation; stores and exploits ontology alignments; and enables interoperation with the semantic web. To align with the needs of the agronomy community, AgroPortal uses SKOS vocabularies and trait dictionaries) and supported features (offering detailed metadata and advanced annotation capabilities).","abbreviation":"AgroPortal","data_curation":{"url":"https://doc.jonquetlab.lirmm.fr/share/e6158eda-c109-4385-852c-51a42de9a412/doc/submitting-an-ontology-MDwVEGW3w0","type":"manual/automated","notes":"outdated ontology deposit documentation"},"support_links":[{"url":"http://agroportal.lirmm.fr/feedback/","name":"Contact Form","type":"Contact form"},{"url":"https://github.com/agroportal","name":"Github Repository","type":"Github"},{"url":"http://agroportal.lirmm.fr/about","name":"About","type":"Help documentation"},{"url":"https://github.com/agroportal/documentation/wiki","name":"AgroPortal Documentation","type":"Github"},{"url":"http://agroportal.lirmm.fr/landscape","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/lagroportal","name":"@lagroportal","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open","notes":"No declaration but a CC-BY licence on each item"},"resource_sustainability":{"url":"https://agroportal.lirmm.fr/about","name":"List of grants, institutions and team members"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001023","bsg-d001023"],"name":"FAIRsharing record for: AgroPortal","abbreviation":"AgroPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.z4xpxx","doi":"10.25504/FAIRsharing.z4xpxx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AgroPortal is an ontology repository for agronomy as well as food, plant, agriculture and biodiversity sciences. It provides ontology hosting, search, versioning, visualization, comment, and recommendation; enables semantic annotation; stores and exploits ontology alignments; and enables interoperation with the semantic web. To align with the needs of the agronomy community, AgroPortal uses SKOS vocabularies and trait dictionaries) and supported features (offering detailed metadata and advanced annotation capabilities).","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11626},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16738}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Farming Systems Research","Botany","Fisheries Science","Plant Breeding","Agricultural Law","Health Science","Animal Husbandry","Food Security","Entomology","Agricultural Engineering","Rural and Agricultural Sociology","Ecology","Aquaculture","Biodiversity","Agriculture","Nutritional Science","Plant Anatomy","Plant Cell Biology","Physics","Pathology"],"domains":["Taxonomic classification","Geographical location","Food","Phenotype"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment","Plant Phenotypes and Traits"],"countries":["France"],"publications":[{"id":1359,"pubmed_id":null,"title":"AgroPortal: A vocabulary and ontology repository for agronomy","year":2018,"url":"https://doi.org/10.1016/j.compag.2017.10.012","authors":"Clément Jonquet, Anne Toulet, Elizabeth Arnaud, Sophie Aubin, Esther Dzalé Yeumo, Vincent Emonet, John Graybeal, Marie-Angélique Laporte, Mark A. Musen, Valeria Pesce, Pierre Larmande.","journal":"Computers and Electronics in Agriculture","doi":"10.1016/j.compag.2017.10.012","created_at":"2021-09-30T08:24:51.967Z","updated_at":"2021-09-30T08:24:51.967Z"},{"id":2519,"pubmed_id":null,"title":"Reusing the NCBO BioPortal Technology for Agronomy to Build AgroPortal.","year":2016,"url":"https://hal.archives-ouvertes.fr/hal-01398251","authors":"Clement Jonquet, Anne Toulet, Elizabeth Arnaud, Sophie Aubin, Esther Dzalé-Yeumo, Vincent Emonet, John Graybeal, Mark A Musen, Cyril Pommier, Pierre Larmande","journal":"Proceedings of the Joint International Conference on Biological Ontology and BioCreative, Corvallis, Oregon, United States, August 1-4, 2016.","doi":null,"created_at":"2021-09-30T08:27:09.062Z","updated_at":"2021-09-30T11:28:36.245Z"},{"id":3111,"pubmed_id":null,"title":"Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal","year":2018,"url":"http://doi.org/10.1007/s13740-018-0091-5","authors":"Clement Jonquet, Anne Toulet, Biswanath Dutta, Vincent Emonet","journal":"Journal on Data Semantics","doi":"10.1007/s13740-018-0091-5","created_at":"2021-09-30T08:28:23.283Z","updated_at":"2021-09-30T08:28:23.283Z"}],"licence_links":[],"grants":[{"id":2841,"fairsharing_record_id":2540,"organisation_id":3101,"relation":"maintains","created_at":"2021-09-30T09:25:58.216Z","updated_at":"2021-09-30T09:25:58.216Z","grant_id":null,"is_lead":true,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2844,"fairsharing_record_id":2540,"organisation_id":1754,"relation":"funds","created_at":"2021-09-30T09:25:58.318Z","updated_at":"2021-09-30T09:31:14.392Z","grant_id":1081,"is_lead":false,"saved_state":{"id":1754,"name":"Marie Sklodowska-Curie","grant":"701771","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2836,"fairsharing_record_id":2540,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:25:58.025Z","updated_at":"2021-09-30T09:25:58.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2840,"fairsharing_record_id":2540,"organisation_id":1675,"relation":"maintains","created_at":"2021-09-30T09:25:58.179Z","updated_at":"2021-09-30T09:25:58.179Z","grant_id":null,"is_lead":true,"saved_state":{"id":1675,"name":"Laboratory of Informatics, Robotics and Microelectronics of Montpellier","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":2843,"fairsharing_record_id":2540,"organisation_id":2066,"relation":"undefined","created_at":"2021-09-30T09:25:58.275Z","updated_at":"2021-09-30T09:25:58.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":2837,"fairsharing_record_id":2540,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:58.057Z","updated_at":"2021-09-30T09:30:45.772Z","grant_id":857,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-12-JS02-01001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2838,"fairsharing_record_id":2540,"organisation_id":47,"relation":"funds","created_at":"2021-09-30T09:25:58.094Z","updated_at":"2021-09-30T09:31:40.559Z","grant_id":1278,"is_lead":false,"saved_state":{"id":47,"name":"LabEx AGRO, Agropolis Fondation","grant":"ANR-10-LABX-0001","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9846,"fairsharing_record_id":2540,"organisation_id":2066,"relation":"collaborates_on","created_at":"2022-09-02T13:56:18.757Z","updated_at":"2022-09-02T13:56:18.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9847,"fairsharing_record_id":2540,"organisation_id":1675,"relation":"collaborates_on","created_at":"2022-09-02T13:56:18.758Z","updated_at":"2022-09-02T13:56:18.758Z","grant_id":null,"is_lead":false,"saved_state":{"id":1675,"name":"Laboratory of Informatics, Robotics and Microelectronics of Montpellier","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":9848,"fairsharing_record_id":2540,"organisation_id":2623,"relation":"collaborates_on","created_at":"2022-09-02T13:56:18.802Z","updated_at":"2022-09-02T13:56:18.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":2839,"fairsharing_record_id":2540,"organisation_id":2624,"relation":"undefined","created_at":"2021-09-30T09:25:58.136Z","updated_at":"2021-09-30T09:25:58.136Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"undefined"}},{"id":2842,"fairsharing_record_id":2540,"organisation_id":1656,"relation":"funds","created_at":"2021-09-30T09:25:58.248Z","updated_at":"2021-09-30T09:31:07.033Z","grant_id":1024,"is_lead":false,"saved_state":{"id":1656,"name":"Labex Digital and Hardware Solutions and Modeling for the Environment and Life Sciences (NUMEV)","grant":"ANR-10-LABX-0020","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8153,"fairsharing_record_id":2540,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:31:13.321Z","updated_at":"2021-09-30T09:31:13.368Z","grant_id":1071,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-11-BINF-0002","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8485,"fairsharing_record_id":2540,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:32:51.586Z","updated_at":"2021-09-30T09:32:51.632Z","grant_id":1809,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-18-CE23-0017","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2541","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T12:55:23.000Z","updated_at":"2023-12-15T10:31:19.586Z","metadata":{"doi":"10.25504/FAIRsharing.f7p410","name":"RunMyCode","status":"ready","contacts":[],"homepage":"http://www.runmycode.org/","citations":[],"identifier":2541,"description":"RunMyCode is an online repository allowing people to share code and data associated with scientific publications. Its goal is to allow members of the academic community to replicate scientific results and to demonstrate the robustness of published code.","abbreviation":"RunMyCode","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.runmycode.org/contact","name":"Contact Form","type":"Contact form"},{"url":"http://www.runmycode.org/faq.html","name":"Run My Code FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.runmycode.org/privacy-policy.html","name":"Privacy Policy","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010418","name":"re3data:r3d100010418","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014011","name":"SciCrunch:RRID:SCR_014011","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001024","bsg-d001024"],"name":"FAIRsharing record for: RunMyCode","abbreviation":"RunMyCode","url":"https://fairsharing.org/10.25504/FAIRsharing.f7p410","doi":"10.25504/FAIRsharing.f7p410","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RunMyCode is an online repository allowing people to share code and data associated with scientific publications. Its goal is to allow members of the academic community to replicate scientific results and to demonstrate the robustness of published code.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"RunMyCode Terms of Use","licence_id":719,"licence_url":"http://www.runmycode.org/terms-of-use.html","link_id":1063,"relation":"undefined"}],"grants":[{"id":2845,"fairsharing_record_id":2541,"organisation_id":3111,"relation":"maintains","created_at":"2021-09-30T09:25:58.349Z","updated_at":"2021-09-30T09:25:58.349Z","grant_id":null,"is_lead":false,"saved_state":{"id":3111,"name":"University of Orleans","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2846,"fairsharing_record_id":2541,"organisation_id":1229,"relation":"maintains","created_at":"2021-09-30T09:25:58.377Z","updated_at":"2021-09-30T09:25:58.377Z","grant_id":null,"is_lead":false,"saved_state":{"id":1229,"name":"HEC Paris","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2530","type":"fairsharing_records","attributes":{"created_at":"2017-11-03T16:37:58.000Z","updated_at":"2023-06-22T16:39:40.978Z","metadata":{"doi":"10.25504/FAIRsharing.6ba5fw","name":"Alliance of Genome Resources","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@alliancegenome.org"}],"homepage":"https://www.alliancegenome.org","citations":[{"doi":"10.1093/nar/gkz813","pubmed_id":31552413,"publication_id":1698}],"identifier":2530,"description":"The primary mission of the Alliance of Genome Resources (the Alliance) is to develop and maintain sustainable genome information resources that facilitate the use of diverse model organisms in understanding the genetic and genomic basis of human biology, health and disease.","abbreviation":null,"data_curation":{"url":"https://www.alliancegenome.org/help","type":"manual/automated","notes":"Both curators and computational tools such as DIOPT are utilised"},"support_links":[{"url":"https://www.alliancegenome.org/news","name":"News","type":"Blog/News"},{"url":"info@alliancegenome.org","name":"Contact","type":"Support email"},{"url":"https://www.alliancegenome.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.alliancegenome.org/help","name":"Help","type":"Help documentation"},{"url":"https://www.alliancegenome.org/tutorials","name":"Tutorial Listing","type":"Help documentation"},{"url":"https://github.com/alliance-genome/","name":"GitHub Project","type":"Github"},{"url":"https://www.alliancegenome.org/about-us","name":"About","type":"Help documentation"},{"url":"https://twitter.com/alliancegenome","name":"@alliancegenome","type":"Twitter"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"https://www.alliancegenome.org/prototypes","name":"Prototype Tools Listing"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001013","bsg-d001013"],"name":"FAIRsharing record for: Alliance of Genome Resources","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6ba5fw","doi":"10.25504/FAIRsharing.6ba5fw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary mission of the Alliance of Genome Resources (the Alliance) is to develop and maintain sustainable genome information resources that facilitate the use of diverse model organisms in understanding the genetic and genomic basis of human biology, health and disease.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11549},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16214},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19985}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Genome map","Gene name","Gene functional annotation","Model organism","Disease process modeling","Gene expression","Functional association","Phenotype","Disease","Gene","Homologous","Orthologous","Genome"],"taxonomies":["Caenorhabditis","Danio rerio","Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae","Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom","United States"],"publications":[{"id":1698,"pubmed_id":31552413,"title":"Alliance of Genome Resources Portal: unified model organism research platform.","year":2019,"url":"http://doi.org/10.1093/nar/gkz813","authors":"Alliance of Genome Resources Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz813","created_at":"2021-09-30T08:25:30.300Z","updated_at":"2021-09-30T11:29:18.893Z"},{"id":2007,"pubmed_id":31796553,"title":"The Alliance of Genome Resources: Building a Modern Data Ecosystem for Model Organism Databases.","year":2019,"url":"http://doi.org/10.1534/genetics.119.302523","authors":"Alliance of Genome Resources Consortium","journal":"Genetics","doi":"10.1534/genetics.119.302523","created_at":"2021-09-30T08:26:06.040Z","updated_at":"2021-09-30T08:26:06.040Z"}],"licence_links":[{"licence_name":"Alliance of Genome Resources Privacy, Warranty and Licensing","licence_id":25,"licence_url":"https://www.alliancegenome.org/privacy-warranty-licensing","link_id":2452,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2451,"relation":"undefined"}],"grants":[{"id":2808,"fairsharing_record_id":2530,"organisation_id":64,"relation":"maintains","created_at":"2021-09-30T09:25:56.944Z","updated_at":"2021-09-30T09:25:56.944Z","grant_id":null,"is_lead":true,"saved_state":{"id":64,"name":"Alliance of Genome Resources Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2810,"fairsharing_record_id":2530,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:57.023Z","updated_at":"2021-09-30T09:25:57.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2809,"fairsharing_record_id":2530,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:25:56.986Z","updated_at":"2021-09-30T09:31:46.694Z","grant_id":1321,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U24HG010859","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2531","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T11:48:13.000Z","updated_at":"2024-06-14T09:32:53.360Z","metadata":{"doi":"10.25504/FAIRsharing.agwgmc","name":"CloudFlame","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"cloudflame@kaust.edu.sa"}],"homepage":"https://cloudflame.kaust.edu.sa","citations":[],"identifier":2531,"description":"CloudFlame is a cloud-based cyberinfrastructure for managing combustion research and enabling collaboration. The infrastructure includes both software and hardware components, and is freely offered to anyone with a valid professional or educational affiliation. This website provides a front-end for data search tools, web-based numerical simulations, and discussion forums. We have marked this resource as having an Uncertain status because we have been unable to confirm certain metadata with the resource contact. If you have any information about the current status of this project, please get in touch.","abbreviation":"CloudFlame","data_curation":{"type":"not found"},"support_links":[{"url":"https://cloudflame.kaust.edu.sa/contact","name":"CloudFlame Contact Form","type":"Contact form"},{"url":"https://cloudflame.kaust.edu.sa/Help","name":"Help Videos","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"https://cloudflame.kaust.edu.sa/Simulations","name":"CloudFlame CANTERA"},{"url":"https://cloudflame.kaust.edu.sa/OpenSmoke","name":"CloudFlame OPENSMOKE++"},{"url":"https://cloudflame.kaust.edu.sa/fuel","name":"Fuel Tools"},{"url":"https://cloudflame.kaust.edu.sa/thermo_tools","name":"CloudFlame Thermo"},{"url":"https://cloudflame.kaust.edu.sa/node/353","name":"CFD Simulations"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013647","name":"re3data:r3d100013647","portal":"re3data"}],"deprecation_date":"2024-06-14","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"url":"https://cloudflame.kaust.edu.sa/user/register","type":"open","notes":"You do need to register to access to the database"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001014","bsg-d001014"],"name":"FAIRsharing record for: CloudFlame","abbreviation":"CloudFlame","url":"https://fairsharing.org/10.25504/FAIRsharing.agwgmc","doi":"10.25504/FAIRsharing.agwgmc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CloudFlame is a cloud-based cyberinfrastructure for managing combustion research and enabling collaboration. The infrastructure includes both software and hardware components, and is freely offered to anyone with a valid professional or educational affiliation. This website provides a front-end for data search tools, web-based numerical simulations, and discussion forums. We have marked this resource as having an Uncertain status because we have been unable to confirm certain metadata with the resource contact. If you have any information about the current status of this project, please get in touch.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11792}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry"],"domains":["Combustion"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Saudi Arabia"],"publications":[],"licence_links":[],"grants":[{"id":2811,"fairsharing_record_id":2531,"organisation_id":2494,"relation":"funds","created_at":"2021-09-30T09:25:57.061Z","updated_at":"2021-09-30T09:25:57.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":2494,"name":"Saudi Aramco","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2812,"fairsharing_record_id":2531,"organisation_id":532,"relation":"maintains","created_at":"2021-09-30T09:25:57.089Z","updated_at":"2021-09-30T09:25:57.089Z","grant_id":null,"is_lead":false,"saved_state":{"id":532,"name":"Clean Combustion Research Center, King Abdullah University of Science and Technology. Saudi Arabia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2813,"fairsharing_record_id":2531,"organisation_id":1637,"relation":"funds","created_at":"2021-09-30T09:25:57.113Z","updated_at":"2021-09-30T09:25:57.113Z","grant_id":null,"is_lead":false,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2548","type":"fairsharing_records","attributes":{"created_at":"2018-01-05T14:22:52.000Z","updated_at":"2024-05-07T10:34:02.019Z","metadata":{"doi":"10.25504/FAIRsharing.thskvr","name":"Code Ocean","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"contact@codeocean.com"}],"homepage":"https://codeocean.com","citations":[],"identifier":2548,"description":"Code Ocean is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover and run code published in academic journals and conferences. The platform provides open access to the published software code and data to view and download for everyone for free. Users can execute all published code without installing anything on their personal computer. Everything runs in the cloud on CPUs or GPUs according to the user needs.","abbreviation":"CO","data_curation":{"url":"https://help.codeocean.com/en/articles/1120151-code-ocean-s-verification-process-for-computational-reproducibility-quality","type":"manual","notes":"Authors may provide metadata for their code; please note that code verification is performed by CodeOcean, however no peer review of the code is performed."},"support_links":[{"url":"https://codeocean.com/blog","name":"Code Ocean Blog","type":"Blog/News"},{"url":"https://codeocean.com/contact","name":"Contact form","type":"Contact form"},{"url":"https://help.codeocean.com","name":"Help center","type":"Help documentation"},{"url":"https://twitter.com/CodeOceanHQ","name":"CodeOceanHQ","type":"Twitter"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012369","name":"re3data:r3d100012369","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_015532","name":"SciCrunch:RRID:SCR_015532","portal":"SciCrunch"}],"data_access_condition":{"url":"https://help.codeocean.com/en/articles/3063022-publishing-on-code-ocean-an-overview","type":"partially open","notes":"Code may be kept private until published by the authors"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001031","bsg-d001031"],"name":"FAIRsharing record for: Code Ocean","abbreviation":"CO","url":"https://fairsharing.org/10.25504/FAIRsharing.thskvr","doi":"10.25504/FAIRsharing.thskvr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Code Ocean is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover and run code published in academic journals and conferences. The platform provides open access to the published software code and data to view and download for everyone for free. Users can execute all published code without installing anything on their personal computer. Everything runs in the cloud on CPUs or GPUs according to the user needs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Israel","United States"],"publications":[{"id":3788,"pubmed_id":null,"title":"Computational Reproducibility via Containers in Psychology","year":2019,"url":"http://dx.doi.org/10.15626/MP.2018.892","authors":"Clyburne-Sherin, April; Fei, Xu; Green, Seth Ariel; ","journal":"Meta-psychology","doi":"10.15626/mp.2018.892","created_at":"2023-02-23T08:45:25.563Z","updated_at":"2023-02-23T08:47:28.760Z"}],"licence_links":[{"licence_name":"Code Ocean Terms of Use","licence_id":142,"licence_url":"https://codeocean.com/terms-of-use","link_id":935,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3102,"relation":"applies_to_content"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":3101,"relation":"applies_to_content"}],"grants":[{"id":2859,"fairsharing_record_id":2548,"organisation_id":546,"relation":"maintains","created_at":"2021-09-30T09:25:58.871Z","updated_at":"2021-09-30T09:25:58.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":546,"name":"Code Ocean, New York, NY, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbDBDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--cbb6fb6ad3e03818ed01acaa2eab4e6e33f45b57/Screenshot%20from%202023-02-23%2009-02-20.png?disposition=inline","exhaustive_licences":false}},{"id":"2570","type":"fairsharing_records","attributes":{"created_at":"2018-02-27T14:54:05.000Z","updated_at":"2024-04-11T10:24:07.289Z","metadata":{"doi":"10.25504/FAIRsharing.a04fb2","name":"Citrus Genome Database","status":"ready","contacts":[],"homepage":"https://www.citrusgenomedb.org/","citations":[],"identifier":2570,"description":"The Citrus Genome Database, known as CGD, is a USDA and NSF funded resource to enable basic, translational and applied research in citrus. It houses genomics, genetics and breeding data for citrus species and organisms associated with HLB. It is built by the Mainlab at Washington State University using the open-source, generic database platform Tripal.","abbreviation":"CGD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.citrusgenomedb.org/contact","name":"CGD Contact Form","type":"Contact form"},{"url":"https://www.citrusgenomedb.org/userManual","name":"CGD User Manual","type":"Help documentation"},{"url":"https://www.citrusgenomedb.org/about","name":"About CGD","type":"Help documentation"},{"url":"https://www.citrusgenomedb.org/data_overview/1","name":"Data Overview","type":"Help documentation"},{"url":"https://twitter.com/CGD_news","name":"@CGD_news","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://www.citrusgenomedb.org/blast","name":"BLAST+"},{"url":"https://ptools.citrusgenomedb.org/","name":"CitrusCyc"},{"url":"https://www.citrusgenomedb.org/jbrowses","name":"JBrowse"},{"url":"https://www.citrusgenomedb.org/MapViewer","name":"MapViewer"},{"url":"https://www.citrusgenomedb.org/heatmap","name":"Expression Heatmap"},{"url":"https://www.citrusgenomedb.org/synview/search","name":"Synteny Viewer"},{"url":"https://www.citrusgenomedb.org/bims","name":"Breeding Information Management System (BIMS)"}],"cross_references":[{"url":"https://www.fruitandnutlist.org/","name":"Fruit and Nut Cultivars Database","portal":"Other"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.citrusgenomedb.org/tgg/data_submission","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001053","bsg-d001053"],"name":"FAIRsharing record for: Citrus Genome Database","abbreviation":"CGD","url":"https://fairsharing.org/10.25504/FAIRsharing.a04fb2","doi":"10.25504/FAIRsharing.a04fb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citrus Genome Database, known as CGD, is a USDA and NSF funded resource to enable basic, translational and applied research in citrus. It houses genomics, genetics and breeding data for citrus species and organisms associated with HLB. It is built by the Mainlab at Washington State University using the open-source, generic database platform Tripal.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11502},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15734}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Plant Breeding","Genomics","Genetics","Plant Genetics"],"domains":[],"taxonomies":["Candidatus Liberibacter asiaticus","Citrus","Citrus clementina","Citrus sinensis","Poncirus","Citrus ichangensis","Citrus reticulata","Citrus maxima","Citrus medica","Poncirus trifoliata","Fortunella hindsii"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2904,"fairsharing_record_id":2570,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.417Z","updated_at":"2021-09-30T09:26:00.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2903,"fairsharing_record_id":2570,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.386Z","updated_at":"2021-09-30T09:30:05.505Z","grant_id":547,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF Plant Genome Research Program Award","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2905,"fairsharing_record_id":2570,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:26:00.443Z","updated_at":"2021-09-30T09:29:14.486Z","grant_id":154,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"USDA NIFA Specialty Crop Research Program","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8315,"fairsharing_record_id":2570,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:32:02.449Z","updated_at":"2021-09-30T09:32:02.501Z","grant_id":1441,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"USDA NIFA National Research Support Project 10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa1lCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ace8de093c0ddd27a05c0f81372aedbd0d712bce/CGD_logo.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2571","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T12:19:22.000Z","updated_at":"2023-12-15T10:32:37.919Z","metadata":{"doi":"10.25504/FAIRsharing.d040a4","name":"Cacao Genome Database","status":"ready","contacts":[{"contact_name":"Ping Zheng","contact_email":"ping_zheng@wsu.edu","contact_orcid":null}],"homepage":"https://www.cacaogenomedb.org/","citations":[],"identifier":2571,"description":"The Cacao Genome Database (CGD) is a database storing information on the genome of Theobroma cacao. The sequenced genotype, Matina 1-6, is representative of the genetic background most commonly found in the cacao producing countries, enabling results to be applied to current commercial cultivars. Before viewing the data, users have to agree that they will not seek any intellectual property protection over the data, including gene sequences contained in the database. The Information Access Agreement allows any cacao breeders and other researchers to freely use the genome information to develop new cacao varieties. This allows for a level playing field and a healthy competitive environment that will ultimately benefit the sustainability of cacao production in the long term.","abbreviation":"CGD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.cacaogenomedb.org/contact","name":"CGD Contact Form","type":"Contact form"},{"url":"https://www.cacaogenomedb.org/faq","name":"CGD Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.cacaogenomedb.org/mailing_lists","name":"CGD mailing list","type":"Mailing list"},{"url":"https://www.cacaogenomedb.org/sites/default/files/CGD_brochure_2012.pdf","name":"CGD Brochure","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.cacaogenomedb.org/tools/cmap","name":"CMAP"},{"url":"https://www.cacaogenomedb.org/tools/gbrowse_syn","name":"GBrowse_syn"},{"url":"https://www.cacaogenomedb.org/tools/gbrowse","name":"GBrowse"},{"url":"https://www.cacaogenomedb.org/tools/blast","name":"BLAST"},{"url":"https://www.cacaogenomedb.org/tools/webfpc","name":"WebFPC"}],"data_access_condition":{"url":"https://www.cacaogenomedb.org/faq/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cacaogenomedb.org/faq/","type":"not applicable","notes":"Database is for their sequencing project only."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001054","bsg-d001054"],"name":"FAIRsharing record for: Cacao Genome Database","abbreviation":"CGD","url":"https://fairsharing.org/10.25504/FAIRsharing.d040a4","doi":"10.25504/FAIRsharing.d040a4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cacao Genome Database (CGD) is a database storing information on the genome of Theobroma cacao. The sequenced genotype, Matina 1-6, is representative of the genetic background most commonly found in the cacao producing countries, enabling results to be applied to current commercial cultivars. Before viewing the data, users have to agree that they will not seek any intellectual property protection over the data, including gene sequences contained in the database. The Information Access Agreement allows any cacao breeders and other researchers to freely use the genome information to develop new cacao varieties. This allows for a level playing field and a healthy competitive environment that will ultimately benefit the sustainability of cacao production in the long term.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11503}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Plant Breeding","Genomics","Agriculture","Plant Genetics"],"domains":[],"taxonomies":["Theobroma cacao"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2906,"fairsharing_record_id":2571,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:00.479Z","updated_at":"2021-09-30T09:26:00.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2907,"fairsharing_record_id":2571,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.521Z","updated_at":"2023-09-22T15:24:05.743Z","grant_id":null,"is_lead":true,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2572","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T12:40:10.000Z","updated_at":"2024-04-11T10:32:24.746Z","metadata":{"doi":"10.25504/FAIRsharing.8d1f51","name":"Pulse Crop Database","status":"ready","contacts":[],"homepage":"https://www.pulsedb.org/","citations":[],"identifier":2572,"description":"Although there is wealth of legume genetic research information in North America and throughout the world, there is still a need for a system that can organize, filter and provide analysis on the available research to be directly applied in breeding programs. The Pulse Crop Database (formerly the Cool Season Food Legume Crop Database) is being developed to serve as a resource for Genomics-Assisted Breeding (GAB). GAB offers tools to identify genes related to traits of interest among other methods to optimize plant breeding efficiency and research, by providing relevant genomic, genetic and breeding information and analysis.","abbreviation":"PCD","data_curation":{"type":"not found"},"support_links":[{"url":"https://pulsedb.org/UserManual","name":"User Manual","type":"Help documentation"},{"url":"pulsedb-list@pulsedb.org","name":"Mailing List","type":"Mailing list"},{"url":"https://pulsedb.org/data_overview/1","name":"Data Overview","type":"Help documentation"},{"url":"https://twitter.com/PulseDB_news","name":"@PulseDB_news","type":"Twitter"},{"url":"https://pulsedb.org/pulsedb_contact","name":"Contact","type":"Contact form"},{"url":"https://www.youtube.com/channel/UC0S8SqxuMpfScejyE-VCtxA","name":"MainLab YouTube Channel","type":"Video"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://pulsedb.org/jbrowses","name":"JBrowse"},{"url":"https://pulsedb.org/blast","name":"BLAST+"},{"url":"https://www.pulsedb.org/MapViewer","name":"MapViewer"},{"url":"https://ptools.pulsedb.org/","name":"PathwayCyc"},{"url":"https://pulsedb.org/synview/search","name":"Synteny Viewer"},{"url":"https://www.pulsedb.org/bims","name":"Breeding Information Management System (BIMS)"},{"url":"https://www.pulsedb.org/heatmap","name":"Expression Heatmap"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.pulsedb.org/data_submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001055","bsg-d001055"],"name":"FAIRsharing record for: Pulse Crop Database","abbreviation":"PCD","url":"https://fairsharing.org/10.25504/FAIRsharing.8d1f51","doi":"10.25504/FAIRsharing.8d1f51","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Although there is wealth of legume genetic research information in North America and throughout the world, there is still a need for a system that can organize, filter and provide analysis on the available research to be directly applied in breeding programs. The Pulse Crop Database (formerly the Cool Season Food Legume Crop Database) is being developed to serve as a resource for Genomics-Assisted Breeding (GAB). GAB offers tools to identify genes related to traits of interest among other methods to optimize plant breeding efficiency and research, by providing relevant genomic, genetic and breeding information and analysis.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11504},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11628}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Plant Breeding","Genomics","Genetics","Agriculture","Plant Genetics"],"domains":[],"taxonomies":["Cajanus cajan","Cicer arietinum","Lens culinaris","Lupinus angustifolius","Phaseolus vulgaris","Pisum sativum","Vicia faba","Vigna angularis","Vigna unguiculata","Vigna subterranea","Vicia sativa"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2518,"pubmed_id":null,"title":"Cool Season Food Legume Genome Database: A resource for pea, lentil, faba bean and chickpea genetics, genomics and breeding","year":2017,"url":"https://www.pulsedb.org/sites/default/files/files/CSFL_poster-PAG2019.pdf","authors":"Humann JL, Jung S, Cheng C-H, Lee T, Zheng P, Frank M, McGaughey D, Scott K, Buble K, Yu J, Hough H. Coyne C, McGee R, Main D","journal":"Proceedings of the International Plant and Animal Genome Conference, San Diego, CA, USA.","doi":null,"created_at":"2021-09-30T08:27:08.945Z","updated_at":"2021-09-30T08:27:08.945Z"}],"licence_links":[],"grants":[{"id":2908,"fairsharing_record_id":2572,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.560Z","updated_at":"2021-09-30T09:26:00.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2NCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--969372fe37375721b95072e6514e09a480ef30a3/PulseDB-HomepageLogo2.png?disposition=inline","exhaustive_licences":false}},{"id":"2573","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T13:01:09.000Z","updated_at":"2024-04-11T10:16:31.009Z","metadata":{"doi":"10.25504/FAIRsharing.2f668a","name":"CottonGen","status":"ready","contacts":[],"homepage":"https://www.cottongen.org/","citations":[],"identifier":2573,"description":"CottonGen is a cotton community genomics, genetics and breeding database being developed to enable basic, translational and applied research in cotton. It is being built using the open-source Tripal database infrastructure. CottonGen supercedes CottonDB and the Cotton Marker Database, with enhanced tools for easier data sharing, mining, visualization and data retrieval of cotton research data. CottonGen contains annotated whole genome sequences, unigenes from expressed sequence tags (ESTs), markers, trait loci, genetic maps, genes, taxonomy, germplasm, publications and communication resources for the cotton community. Annotated whole genome sequences of Gossypium raimondii are available with aligned genetic markers and transcripts.","abbreviation":"CottonGen","data_curation":{"url":"https://www.cottongen.org/data/submission","type":"manual"},"support_links":[{"url":"https://www.cottongen.org/contact","name":"CottonGen Contact Form","type":"Contact form"},{"url":"https://www.cottongen.org/data_overview/1","name":"Data Overview","type":"Help documentation"},{"url":"https://www.cottongen.org/data/trait_ontology","name":"Cotton Trait Ontology","type":"Help documentation"},{"url":"https://www.cottongen.org/about","name":"About CottonGen","type":"Help documentation"},{"url":"https://twitter.com/CottonGen_news","name":"@CottonGen_news","type":"Twitter"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://www.cottongen.org/blast","name":"BLAST"},{"url":"https://www.cottongen.org/tools/jbrowse","name":"JBrowse"},{"url":"https://www.cottongen.org/retrieve/sequences","name":"Sequence Retrieval"},{"url":"https://www.cottongen.org/MapViewer","name":"MapViewer"},{"url":"https://www.cottongen.org/bims","name":"Breeding Information Management System (BIMS)"},{"url":"https://ptools.cottongen.org/","name":"CottonCyc"},{"url":"https://www.cottongen.org/heatmap","name":"Expression Heatmap"},{"url":"https://www.cottongen.org/synview/search","name":"Synteny Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012668","name":"re3data:r3d100012668","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cottongen.org/data/submission","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001056","bsg-d001056"],"name":"FAIRsharing record for: CottonGen","abbreviation":"CottonGen","url":"https://fairsharing.org/10.25504/FAIRsharing.2f668a","doi":"10.25504/FAIRsharing.2f668a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CottonGen is a cotton community genomics, genetics and breeding database being developed to enable basic, translational and applied research in cotton. It is being built using the open-source Tripal database infrastructure. CottonGen supercedes CottonDB and the Cotton Marker Database, with enhanced tools for easier data sharing, mining, visualization and data retrieval of cotton research data. CottonGen contains annotated whole genome sequences, unigenes from expressed sequence tags (ESTs), markers, trait loci, genetic maps, genes, taxonomy, germplasm, publications and communication resources for the cotton community. Annotated whole genome sequences of Gossypium raimondii are available with aligned genetic markers and transcripts.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11505},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11629}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Plant Breeding","Genomics","Agriculture","Life Science","Plant Genetics"],"domains":["Genetic map","Whole genome sequencing"],"taxonomies":["Gossypium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2085,"pubmed_id":24203703,"title":"CottonGen: a genomics, genetics and breeding database for cotton research.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1064","authors":"Yu J,Jung S,Cheng CH,Ficklin SP,Lee T,Zheng P,Jones D,Percy RG,Main D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1064","created_at":"2021-09-30T08:26:15.055Z","updated_at":"2021-09-30T11:29:28.187Z"}],"licence_links":[],"grants":[{"id":2910,"fairsharing_record_id":2573,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.629Z","updated_at":"2021-09-30T09:26:00.629Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2914,"fairsharing_record_id":2573,"organisation_id":783,"relation":"funds","created_at":"2021-09-30T09:26:00.775Z","updated_at":"2021-09-30T09:26:00.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":783,"name":"Dow/Phytogen","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2915,"fairsharing_record_id":2573,"organisation_id":1894,"relation":"funds","created_at":"2021-09-30T09:26:00.808Z","updated_at":"2021-09-30T09:26:00.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":1894,"name":"Monsanto","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2909,"fairsharing_record_id":2573,"organisation_id":3219,"relation":"maintains","created_at":"2021-09-30T09:26:00.594Z","updated_at":"2021-09-30T09:26:00.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":3219,"name":"Washington State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2911,"fairsharing_record_id":2573,"organisation_id":617,"relation":"funds","created_at":"2021-09-30T09:26:00.671Z","updated_at":"2021-09-30T09:26:00.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":617,"name":"Cotton Incorporated","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2912,"fairsharing_record_id":2573,"organisation_id":2935,"relation":"maintains","created_at":"2021-09-30T09:26:00.710Z","updated_at":"2021-09-30T09:26:00.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2935,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Crop Germplasm Research Unit, College Station, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2913,"fairsharing_record_id":2573,"organisation_id":2599,"relation":"funds","created_at":"2021-09-30T09:26:00.743Z","updated_at":"2021-09-30T09:26:00.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2599,"name":"Southern Association of Agricultural Experiment Station Directors","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2916,"fairsharing_record_id":2573,"organisation_id":177,"relation":"funds","created_at":"2021-09-30T09:26:00.842Z","updated_at":"2021-09-30T09:26:00.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":177,"name":"Bayer Crop Science, Germany","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2574","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T13:39:08.000Z","updated_at":"2023-06-23T15:58:37.355Z","metadata":{"doi":"10.25504/FAIRsharing.PkY7Hl","name":"Cucurbit Genomics Database","status":"ready","contacts":[{"contact_email":"feibioinfolab@gmail.com"}],"homepage":"http://cucurbitgenomics.org","citations":[{"doi":"10.1093/nar/gkac921","pubmed_id":null,"publication_id":3874}],"identifier":2574,"description":"The recent genome sequence assemblies of major cucurbit crop species, including cucumber, melon, watermelon and pumpkin have made it feasible to use advanced genomic approaches in cucurbit breeding. Under the CucCAP project (http://cuccap.org), the Cucurbit Genomics Database (CuGenDB) aims to accelerate the breeding progress of cucurbit crops. Tripal was used to help manage, store, distribute and analyze the large amount of recently generated genotype and phenotype data. CuGenDB integrates genetic, genomics, transcriptomics and other biological data.","abbreviation":"CuGenDB","data_curation":{"type":"manual","notes":"Metadata are manually curated by checking the publications describing the data."},"support_links":[{"url":"http://cucurbitgenomics.org/contact","name":"CuGenDB Contact Form","type":"Contact form"},{"url":"cucurbit-l@cornell.edu","name":"CuGenDB Mailing List","type":"Mailing list"},{"url":"https://pag.confex.com/pag/xxvi/meetingapp.cgi/Paper/30589","name":"Conference Presentation","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"http://cucurbitgenomics.org/blast","name":"BLAST"},{"url":"http://cucurbitgenomics.org/goenrich","name":"GO Enrichment"},{"url":"http://cucurbitgenomics.org/funcat","name":"Gene Classification"},{"url":"http://cucurbitgenomics.org/JBrowse/","name":"JBrowse"},{"url":"http://cucurbitgenomics.org/batchquery","name":"Batch Query"},{"url":"http://cucurbitgenomics.org/synview/search","name":"Synteny Viewer"},{"url":"http://cucurbitgenomics.org/cmaps","name":"CMap"},{"url":"http://cucurbitgenomics.org/pwyenrich","name":"Pathway Enrichment"}],"data_access_condition":{"url":"http://cucurbitgenomics.org/v2/search","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001057","bsg-d001057"],"name":"FAIRsharing record for: Cucurbit Genomics Database","abbreviation":"CuGenDB","url":"https://fairsharing.org/10.25504/FAIRsharing.PkY7Hl","doi":"10.25504/FAIRsharing.PkY7Hl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The recent genome sequence assemblies of major cucurbit crop species, including cucumber, melon, watermelon and pumpkin have made it feasible to use advanced genomic approaches in cucurbit breeding. Under the CucCAP project (http://cuccap.org), the Cucurbit Genomics Database (CuGenDB) aims to accelerate the breeding progress of cucurbit crops. Tripal was used to help manage, store, distribute and analyze the large amount of recently generated genotype and phenotype data. CuGenDB integrates genetic, genomics, transcriptomics and other biological data.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11506},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15731}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Agriculture","Life Science","Transcriptomics"],"domains":["Phenotype","Genotype"],"taxonomies":["Cucurbitaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":146,"pubmed_id":30321383,"title":"Cucurbit Genomics Database (CuGenDB): a central portal for comparative and functional genomics of cucurbit crops.","year":2018,"url":"http://doi.org/10.1093/nar/gky944","authors":"Zheng Y,Wu S,Bai Y,Sun H,Jiao C,Guo S,Zhao K,Blanca J,Zhang Z,Huang S,Xu Y,Weng Y,Mazourek M,K Reddy U,Ando K,McCreight JD,Schaffer AA,Burger J,Tadmor Y,Katzir N,Tang X,Liu Y,Giovannoni JJ,Ling KS,Wechter WP,Levi A,Garcia-Mas J,Grumet R,Fei Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky944","created_at":"2021-09-30T08:22:35.904Z","updated_at":"2021-09-30T11:28:43.108Z"},{"id":3874,"pubmed_id":null,"title":"CuGenDBv2: an updated database for cucurbit genomics","year":2023,"url":"http://dx.doi.org/10.1093/nar/gkac921","authors":"Yu, Jingyin; Wu, Shan; Sun, Honghe; Wang, Xin; Tang, Xuemei; Guo, Shaogui; Zhang, Zhonghua; Huang, Sanwen; Xu, Yong; Weng, Yiqun; Mazourek, Michael; McGregor, Cecilia; Renner, Susanne S; Branham, Sandra; Kousik, Chandrasekar; Wechter, W Patrick; Levi, Amnon; Grumet, Rebecca; Zheng, Yi; Fei, Zhangjun; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac921","created_at":"2023-05-31T07:40:44.007Z","updated_at":"2023-05-31T07:42:13.715Z"}],"licence_links":[],"grants":[{"id":2918,"fairsharing_record_id":2574,"organisation_id":1009,"relation":"maintains","created_at":"2021-09-30T09:26:00.897Z","updated_at":"2021-09-30T09:26:00.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":1009,"name":"Feilab, Boyce Thomson Institute, Ithaca, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2917,"fairsharing_record_id":2574,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:00.866Z","updated_at":"2021-09-30T09:26:00.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2575","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T13:55:14.000Z","updated_at":"2023-06-22T17:33:10.305Z","metadata":{"doi":"10.25504/FAIRsharing.Aa2ryS","name":"Shanoir","status":"ready","contacts":[{"contact_name":"Shanoir Helpdesk","contact_email":"shanoir-contact@lists.gforge.inria.fr"}],"homepage":"https://shanoir.irisa.fr/","citations":[],"identifier":2575,"description":"Shanoir (Sharing NeurOImaging Resources) is an open source neuroinformatics platform designed to share, archive, search and visualize neuroimaging data. It provides a user-friendly secure web access and offers an intuitive workflow to facilitate the collecting and retrieving of neuroimaging data from multiple sources and a wizzard to make the completion of metadata easy. Shanoir comes along many features such as anonymization of data, support for multi-centres clinical studies on subjects or group of subjects.","abbreviation":"Shanoir","data_curation":{"type":"not found"},"support_links":[{"url":"https://project.inria.fr/shanoir/","name":"About","type":"Help documentation"},{"url":"https://github.com/fli-iam/shanoir-ng","name":"GitHub repository","type":"Github"}],"year_creation":2016,"data_versioning":"not found","data_access_condition":{"url":"https://project.inria.fr/shanoir/access-request-rework-in-shanoir-a-public-catalog-for-more-fairness/","type":"partially open","notes":"Login mandatory, but portions of the database are available after login"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://project.inria.fr/shanoir/","type":"open","notes":"Login required, but any researcher may store data."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001058","bsg-d001058"],"name":"FAIRsharing record for: Shanoir","abbreviation":"Shanoir","url":"https://fairsharing.org/10.25504/FAIRsharing.Aa2ryS","doi":"10.25504/FAIRsharing.Aa2ryS","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Shanoir (Sharing NeurOImaging Resources) is an open source neuroinformatics platform designed to share, archive, search and visualize neuroimaging data. It provides a user-friendly secure web access and offers an intuitive workflow to facilitate the collecting and retrieving of neuroimaging data from multiple sources and a wizzard to make the completion of metadata easy. Shanoir comes along many features such as anonymization of data, support for multi-centres clinical studies on subjects or group of subjects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Magnetic resonance imaging","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["France"],"publications":[{"id":937,"pubmed_id":null,"title":"Shanoir: Applying the Software as a Service Distribution Model to Manage Brain Imaging Research Repositories","year":2016,"url":"http://doi.org/10.3389/fict.2016.00025","authors":"Christian Barillot, Elise Bannier, Olivier Commowick, Isabelle Corouge, Anthony Baire, Ines Fakhfakh, Justine Guillaumont, Yao Yao, Michael Kain","journal":"Frontiers in ICT","doi":"10.3389/fict.2016.00025","created_at":"2021-09-30T08:24:03.662Z","updated_at":"2021-09-30T08:24:03.662Z"}],"licence_links":[],"grants":[{"id":10613,"fairsharing_record_id":2575,"organisation_id":3999,"relation":"maintains","created_at":"2023-05-15T13:55:46.806Z","updated_at":"2023-05-15T13:55:46.806Z","grant_id":null,"is_lead":true,"saved_state":{"id":3999,"name":"Empenn Team, INRIA Rennes – Bretagne Atlantique Research Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2576","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T13:11:54.000Z","updated_at":"2023-03-21T15:19:12.749Z","metadata":{"doi":"10.25504/FAIRsharing.cbfbbb","name":"GeneNet Engine","status":"deprecated","contacts":[{"contact_name":"Frank Alex Feltus","contact_email":"ffeltus@clemson.edu","contact_orcid":"0000-0002-2123-6114"}],"homepage":"http://gene-networks.org/","citations":[],"identifier":2576,"description":"GeneNet Engine is an exploratory tool to aid hypothesis and biomarker development at a systems-level for genotype-phenotype relationships. Expressed phenotypes may arise due to interactions between multiple genes in a system and effects from the surrounding environment. Therefore, a high systems-level view is needed to identify gene sets causal for a trait. The ability to predict genes that effect important traits is of great importance to agriculture and health. System biology approaches, that combine genomics, gene co-expression networks and data from genetic studies help provide a view at the systems-level of gene interactions. As co-expressed genes tend to be involved in similar processes, it is expected that co-expressed genes may work together to give rise to specific pheontypes. The network module serves as the basic unit of exploration in this site.","abbreviation":"GeneNet Engine","data_curation":{},"year_creation":2013,"data_versioning":"not found","deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001059","bsg-d001059"],"name":"FAIRsharing record for: GeneNet Engine","abbreviation":"GeneNet Engine","url":"https://fairsharing.org/10.25504/FAIRsharing.cbfbbb","doi":"10.25504/FAIRsharing.cbfbbb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneNet Engine is an exploratory tool to aid hypothesis and biomarker development at a systems-level for genotype-phenotype relationships. Expressed phenotypes may arise due to interactions between multiple genes in a system and effects from the surrounding environment. Therefore, a high systems-level view is needed to identify gene sets causal for a trait. The ability to predict genes that effect important traits is of great importance to agriculture and health. System biology approaches, that combine genomics, gene co-expression networks and data from genetic studies help provide a view at the systems-level of gene interactions. As co-expressed genes tend to be involved in similar processes, it is expected that co-expressed genes may work together to give rise to specific pheontypes. The network module serves as the basic unit of exploration in this site.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11507},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12800}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Life Science","Systems Biology"],"domains":["Network model","Biomarker","Co-expression","Phenotype","Genotype"],"taxonomies":["Arabidopsis thaliana","Oryza sativa","Zea mays"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":795,"pubmed_id":23874666,"title":"A systems-genetics approach and data mining tool to assist in the discovery of genes underlying complex traits in Oryza sativa.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0068551","authors":"Ficklin SP,Feltus FA","journal":"PLoS One","doi":"10.1371/journal.pone.0068551","created_at":"2021-09-30T08:23:47.620Z","updated_at":"2021-09-30T08:23:47.620Z"}],"licence_links":[],"grants":[{"id":2920,"fairsharing_record_id":2576,"organisation_id":1106,"relation":"maintains","created_at":"2021-09-30T09:26:00.980Z","updated_at":"2021-09-30T09:26:00.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":1106,"name":"Genetics and Biochemistry Department, Clemson University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2921,"fairsharing_record_id":2576,"organisation_id":533,"relation":"maintains","created_at":"2021-09-30T09:26:01.021Z","updated_at":"2021-09-30T09:26:01.021Z","grant_id":null,"is_lead":false,"saved_state":{"id":533,"name":"Clemson University Genomics Institute (CUGI), USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2919,"fairsharing_record_id":2576,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.938Z","updated_at":"2021-09-30T09:32:40.130Z","grant_id":1725,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#1659300","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2562","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T12:46:22.000Z","updated_at":"2023-06-23T11:15:08.731Z","metadata":{"doi":"10.25504/FAIRsharing.mjq9vj","name":"Kaggle Datasets","status":"ready","contacts":[{"contact_name":"Rachael Tatman","contact_email":"racheal@kaggle.com","contact_orcid":"0000-0002-2590-8483"}],"homepage":"https://www.kaggle.com/datasets","citations":[],"identifier":2562,"description":"Kaggle Datasets is a public open data platform which combines data, users, discussions, and software. Datasets can be searched, bookmarked and explored via Kernels and discussions. All types of data are allowed. Individual users and organizations can register. Datasets can be published either privately or shared publicly.","abbreviation":"Kaggle Datasets","data_curation":{"type":"none"},"support_links":[{"url":"https://medium.com/kaggle-blog","name":"Kaggle Blog","type":"Blog/News"},{"url":"https://www.kaggle.com/contact","name":"Kaggle Contact and Support","type":"Contact form"},{"url":"https://www.kaggle.com/host","name":"Host a Competition","type":"Help documentation"},{"url":"https://www.kaggle.com/docs/datasets","name":"Datasets Documentation","type":"Help documentation"},{"url":"https://twitter.com/kaggle","name":"@kaggle","type":"Twitter"}],"data_versioning":"not found","associated_tools":[{"url":"https://github.com/Kaggle/kaggle-api/wiki/Dataset-Metadata","name":"Frictionless Data Package"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012705","name":"re3data:r3d100012705","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.kaggle.com/docs/datasets#creating-a-dataset","type":"open","notes":"Free acount is required for data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001045","bsg-d001045"],"name":"FAIRsharing record for: Kaggle Datasets","abbreviation":"Kaggle Datasets","url":"https://fairsharing.org/10.25504/FAIRsharing.mjq9vj","doi":"10.25504/FAIRsharing.mjq9vj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Kaggle Datasets is a public open data platform which combines data, users, discussions, and software. Datasets can be searched, bookmarked and explored via Kernels and discussions. All types of data are allowed. Individual users and organizations can register. Datasets can be published either privately or shared publicly.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Kaggle Privacy Policy","licence_id":473,"licence_url":"https://www.kaggle.com/about/privacy","link_id":824,"relation":"undefined"},{"licence_name":"Kaggle Terms of Use","licence_id":474,"licence_url":"https://www.kaggle.com/terms","link_id":834,"relation":"undefined"}],"grants":[{"id":2894,"fairsharing_record_id":2562,"organisation_id":1619,"relation":"maintains","created_at":"2021-09-30T09:26:00.135Z","updated_at":"2021-09-30T09:26:00.135Z","grant_id":null,"is_lead":true,"saved_state":{"id":1619,"name":"Kaggle Inc, California, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2563","type":"fairsharing_records","attributes":{"created_at":"2018-02-14T13:50:54.000Z","updated_at":"2023-06-23T15:01:20.075Z","metadata":{"doi":"10.25504/FAIRsharing.4e2z82","name":"JRC Data Catalogue","status":"ready","homepage":"http://data.jrc.ec.europa.eu/","identifier":2563,"description":"The JRC Data Catalogue gives access to the multidisciplinary data produced and maintained by the Joint Research Centre, the European Commission's in-house science service providing independent scientific advice and support to policies of the European Union. NB: The JRC Data Catalogue is also included in scientific publishers' submission systems as \"European Commission, Joint Research Centre (JRC)\".","abbreviation":null,"data_curation":{"type":"none"},"support_links":[{"url":"http://data.jrc.ec.europa.eu/contact","name":"Contact us","type":"Contact form"}],"year_creation":2016,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012593","name":"re3data:r3d100012593","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001046","bsg-d001046"],"name":"FAIRsharing record for: JRC Data Catalogue","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4e2z82","doi":"10.25504/FAIRsharing.4e2z82","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JRC Data Catalogue gives access to the multidisciplinary data produced and maintained by the Joint Research Centre, the European Commission's in-house science service providing independent scientific advice and support to policies of the European Union. NB: The JRC Data Catalogue is also included in scientific publishers' submission systems as \"European Commission, Joint Research Centre (JRC)\".","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Engineering Science","Social Science","Natural Science","Life Science","Social and Behavioural Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":2304,"pubmed_id":null,"title":"The JRC Multidisciplinary Research Data Infrastructure","year":2017,"url":"http://doi.org/10.1145/3151759.3151810","authors":"Friis-Christensen, Anders; Perego, Andrea; Tsinaraki, Chrisa; Vaccari, Lorenzino","journal":"iiWAS '17: Proceedings of the 19th International Conference on Information Integration and Web-based Applications \u0026 Services","doi":"10.1145/3151759.3151810","created_at":"2021-09-30T08:26:42.586Z","updated_at":"2021-09-30T08:26:42.586Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2322,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2323,"relation":"undefined"},{"licence_name":"European Commission Reuse and Copyright Notice","licence_id":301,"licence_url":"https://ec.europa.eu/info/legal-notice_en#copyright-notice","link_id":2324,"relation":"undefined"}],"grants":[{"id":2895,"fairsharing_record_id":2563,"organisation_id":924,"relation":"maintains","created_at":"2021-09-30T09:26:00.167Z","updated_at":"2021-09-30T09:26:00.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":924,"name":"European Commission, Joint Research Centre (JRC)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2564","type":"fairsharing_records","attributes":{"created_at":"2018-02-06T11:39:23.000Z","updated_at":"2023-10-18T09:03:22.373Z","metadata":{"doi":"10.25504/FAIRsharing.pn372d","name":"FlyGlycoDB","status":"ready","contacts":[{"contact_name":"Kiyoko F. Aoki-Kinoshita","contact_email":"kkiyoko@soka.ac.jp","contact_orcid":"0000-0002-6662-8015"}],"homepage":"https://glycosmos.org/flyglycodb","citations":[],"identifier":2564,"description":"The glycobiology of Drosophila has been extensively studied in recent years, and much information has accumulated regarding glycan-related genes and proteins in Drosophila. As a database for glycan-related genes in Drosophila, FlyGlycoDB provides specific access to this information.","abbreviation":"FlyGlycoDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/GlyCosmos","name":"@GlyCosmos","type":"Twitter"}],"year_creation":2009,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001047","bsg-d001047"],"name":"FAIRsharing record for: FlyGlycoDB","abbreviation":"FlyGlycoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pn372d","doi":"10.25504/FAIRsharing.pn372d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The glycobiology of Drosophila has been extensively studied in recent years, and much information has accumulated regarding glycan-related genes and proteins in Drosophila. As a database for glycan-related genes in Drosophila, FlyGlycoDB provides specific access to this information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Protein","Gene"],"taxonomies":["Drosophila"],"user_defined_tags":["Glycan Annotation","Glycan sequences"],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1171,"relation":"undefined"}],"grants":[{"id":2896,"fairsharing_record_id":2564,"organisation_id":1639,"relation":"maintains","created_at":"2021-09-30T09:26:00.199Z","updated_at":"2021-09-30T09:26:00.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":1639,"name":"Kinoshita Laboratory, Soka University, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2566","type":"fairsharing_records","attributes":{"created_at":"2018-02-14T22:07:21.000Z","updated_at":"2023-12-15T10:31:20.891Z","metadata":{"doi":"10.25504/FAIRsharing.3wwc0m","name":"Neotoma Paleoecology Database","status":"ready","contacts":[{"contact_name":"Simon Goring","contact_email":"goring@wisc.edu","contact_orcid":"0000-0002-2700-4605"}],"homepage":"https://www.neotomadb.org/","citations":[],"identifier":2566,"description":"The mission of the Neotoma Paleoecology Database is to provide a high-quality, community-curated, and sustainable public repository for paleoecological data, spanning the last 2.5 million years, including fossil pollen, mammal, diatom, ostracode, and geochemical data. Neotoma facilitates multi-scale, multi-disciplinary research and education. It is available for use by other data cooperatives that are welcome to develop their own individualized frontends to the database, as well as remotely input and update data. The Neotoma Paleoecology Database is an international coalition of constituent databases, and provides a common data model and user-oriented services for these constituent databases. Neotoma data are public and made freely available to all.","abbreviation":"Neotoma","data_curation":{"url":"https://www.neotomadb.org/data/contribute-data","type":"manual"},"support_links":[{"url":"https://www.neotomadb.org/news","name":"News","type":"Blog/News"},{"url":"neotoma-contact@googlegroups.com","name":"Contact email","type":"Support email"},{"url":"https://groups.google.com/forum/#!forum/neotoma-updates","name":"NeotomaDB forum","type":"Forum"},{"url":"https://www.neotomadb.org/documents","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/neotomadb","name":"neotomadb on twitter","type":"Twitter"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://cran.r-project.org/web/packages/neotoma/index.html","name":"neotoma R package 1.7.4"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011761","name":"re3data:r3d100011761","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002190","name":"SciCrunch:RRID:SCR_002190","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.neotomadb.org/data/contribute-data","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001049","bsg-d001049"],"name":"FAIRsharing record for: Neotoma Paleoecology Database","abbreviation":"Neotoma","url":"https://fairsharing.org/10.25504/FAIRsharing.3wwc0m","doi":"10.25504/FAIRsharing.3wwc0m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mission of the Neotoma Paleoecology Database is to provide a high-quality, community-curated, and sustainable public repository for paleoecological data, spanning the last 2.5 million years, including fossil pollen, mammal, diatom, ostracode, and geochemical data. Neotoma facilitates multi-scale, multi-disciplinary research and education. It is available for use by other data cooperatives that are welcome to develop their own individualized frontends to the database, as well as remotely input and update data. The Neotoma Paleoecology Database is an international coalition of constituent databases, and provides a common data model and user-oriented services for these constituent databases. Neotoma data are public and made freely available to all.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Paleontology","Geography","Ecology","Natural Science","Earth Science","Life Science","Natural History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Paleolimnology"],"countries":["United States"],"publications":[{"id":2227,"pubmed_id":null,"title":"The Neotoma Paleoecology Database, a multiproxy, international, community-curated data resource","year":2018,"url":"http://doi.org/10.1017/qua.2017.105","authors":"J. W. Williams et al.","journal":"Quaternary Research","doi":"10.1017/qua.2017.105","created_at":"2021-09-30T08:26:30.916Z","updated_at":"2021-09-30T08:26:30.916Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2176,"relation":"undefined"}],"grants":[{"id":2897,"fairsharing_record_id":2566,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.223Z","updated_at":"2021-09-30T09:26:00.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2568","type":"fairsharing_records","attributes":{"created_at":"2018-02-20T11:40:17.000Z","updated_at":"2023-12-15T10:31:45.379Z","metadata":{"doi":"10.25504/FAIRsharing.9btkvp","name":"Online Resource for Community Annotation of Eukaryotes","status":"ready","contacts":[{"contact_name":"Lieven Sterck","contact_email":"lieven.sterck@psb.vib-ugent.be","contact_orcid":"0000-0001-7116-4000"}],"homepage":"http://bioinformatics.psb.ugent.be/orcae/","identifier":2568,"description":"The Online Resource for Community Annotation of Eukaryotes (ORCAE) is an online genome annotation resource offering users the necessary tools and information to validate and correct gene annotations. It is a gene-centric wiki-style annotation portal offering public access to a wide variety of plant, fungal and animal genomes. The basic setup of ORCAE is highly comparable to wiki systems such as MediaWiki, and the information page for each gene can be seen as a ‘topic’ page of a traditional text wiki.","abbreviation":"ORCAE","data_curation":{"type":"manual/automated","notes":"Genes are annotated via EuGene Automatic Predictions and/or manual annotations."},"support_links":[{"url":"beg-orcae@psb.vib-ugent.be","name":"BEG-orcae Support Email","type":"Support email"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open","notes":"Free login is required to access some data."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://bioinformatics.psb.ugent.be/orcae/","type":"controlled","notes":"Only user acounts with editing rights can edit gene informations."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001051","bsg-d001051"],"name":"FAIRsharing record for: Online Resource for Community Annotation of Eukaryotes","abbreviation":"ORCAE","url":"https://fairsharing.org/10.25504/FAIRsharing.9btkvp","doi":"10.25504/FAIRsharing.9btkvp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Online Resource for Community Annotation of Eukaryotes (ORCAE) is an online genome annotation resource offering users the necessary tools and information to validate and correct gene annotations. It is a gene-centric wiki-style annotation portal offering public access to a wide variety of plant, fungal and animal genomes. The basic setup of ORCAE is highly comparable to wiki systems such as MediaWiki, and the information page for each gene can be seen as a ‘topic’ page of a traditional text wiki.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12799}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Genome annotation"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":2212,"pubmed_id":23132114,"title":"ORCAE: online resource for community annotation of eukaryotes.","year":2012,"url":"http://doi.org/10.1038/nmeth.2242","authors":"Sterck L,Billiau K,Abeel T,Rouze P,Van de Peer Y","journal":"Nat Methods","doi":"10.1038/nmeth.2242","created_at":"2021-09-30T08:26:29.323Z","updated_at":"2021-09-30T08:26:29.323Z"}],"licence_links":[],"grants":[{"id":2900,"fairsharing_record_id":2568,"organisation_id":3184,"relation":"maintains","created_at":"2021-09-30T09:26:00.299Z","updated_at":"2021-09-30T09:26:00.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":3184,"name":"VIB-UGent Center for Plant Systems Biology, Ghent, Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2899,"fairsharing_record_id":2568,"organisation_id":736,"relation":"maintains","created_at":"2021-09-30T09:26:00.272Z","updated_at":"2021-09-30T09:26:00.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":736,"name":"Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2569","type":"fairsharing_records","attributes":{"created_at":"2018-02-27T10:59:31.000Z","updated_at":"2023-12-15T10:31:23.146Z","metadata":{"name":"UCAR Digital Asset Services Hub","status":"in_development","contacts":[{"contact_name":"UCAR DASH Helpdesk","contact_email":"datahelp@ucar.edu"}],"homepage":"https://data.ucar.edu/","citations":[],"identifier":2569,"description":"A beta version of the UCAR data asset search. Metadata is compiled from a number of data repositories managed by UCAR into the DASH Search to support cross-organizational data searches.","abbreviation":"DASH Search","data_curation":{"type":"not found"},"support_links":[{"url":"https://data.ucar.edu/about","name":"About","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001052","bsg-d001052"],"name":"FAIRsharing record for: UCAR Digital Asset Services Hub","abbreviation":"DASH Search","url":"https://fairsharing.org/fairsharing_records/2569","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A beta version of the UCAR data asset search. Metadata is compiled from a number of data repositories managed by UCAR into the DASH Search to support cross-organizational data searches.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Atmospheric Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UCAR Notification Copyright Infringement Digital Millenium Copyright Act","licence_id":798,"licence_url":"https://www.ucar.edu/notification-copyright-infringement-digital-millenium-copyright-act","link_id":1208,"relation":"undefined"},{"licence_name":"UCAR Privacy Policy","licence_id":799,"licence_url":"https://www.ucar.edu/privacy-notice","link_id":1116,"relation":"undefined"},{"licence_name":"UCAR Terms of Use","licence_id":800,"licence_url":"https://www.ucar.edu/terms-of-use","link_id":1122,"relation":"undefined"}],"grants":[{"id":2902,"fairsharing_record_id":2569,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.353Z","updated_at":"2021-09-30T09:26:00.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2901,"fairsharing_record_id":2569,"organisation_id":3000,"relation":"maintains","created_at":"2021-09-30T09:26:00.323Z","updated_at":"2021-09-30T09:26:00.323Z","grant_id":null,"is_lead":true,"saved_state":{"id":3000,"name":"University Corporation for Atmospheric Research (UCAR), Boulder, CO, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2581","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T20:56:09.000Z","updated_at":"2023-12-15T10:31:58.817Z","metadata":{"doi":"10.25504/FAIRsharing.fYFurb","name":"PeanutBase","status":"ready","contacts":[{"contact_name":"Ethalinda Cannon","contact_email":"ekcannon@iastate.edu","contact_orcid":"0000-0002-0678-8754"}],"homepage":"https://peanutbase.org/","identifier":2581,"description":"Large-scale genomic data for the peanut have only become available in the last few years, with the advent of low-cost sequencing technologies. To make the data accessible to researchers and to integrate across diverse types of data, the International Peanut Genomics Consortium funded the development of PeanutBase. This database provides access to genetic maps and markers, locations of quantitative trait loci (QTLs), genome sequences, gene locations and sequences, gene families and correspondences with genes in other species, and descriptions of traits and growth characteristics. It also provides tools for exploration and analysis, including sequence of genomic and genic sequences, and keyword searches of genes, gene families, and QTL studies. These resources should facilitate breeding advancements in peanut, helping improve crop productivity and there are a variety of resources for peanut research around the web, ranging from tools for basic plant biology to information for growers and various sectors of the peanut industry to resources for plant breeders.","abbreviation":"PeanutBase","data_curation":{"type":"not found"},"support_links":[{"url":"https://peanutbase.org/contact","name":"PeanutBase Contact Form","type":"Contact form"},{"url":"https://peanutbase.org/help","name":"Site Overview and Guide","type":"Help documentation"},{"url":"https://peanutbase.org/germplasm","name":"Germplasm Resources at PeanutBase","type":"Help documentation"},{"url":"https://peanutbase.org/traits_maps","name":"Traits and Maps Related Resources","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012355","name":"re3data:r3d100012355","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001064","bsg-d001064"],"name":"FAIRsharing record for: PeanutBase","abbreviation":"PeanutBase","url":"https://fairsharing.org/10.25504/FAIRsharing.fYFurb","doi":"10.25504/FAIRsharing.fYFurb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Large-scale genomic data for the peanut have only become available in the last few years, with the advent of low-cost sequencing technologies. To make the data accessible to researchers and to integrate across diverse types of data, the International Peanut Genomics Consortium funded the development of PeanutBase. This database provides access to genetic maps and markers, locations of quantitative trait loci (QTLs), genome sequences, gene locations and sequences, gene families and correspondences with genes in other species, and descriptions of traits and growth characteristics. It also provides tools for exploration and analysis, including sequence of genomic and genic sequences, and keyword searches of genes, gene families, and QTL studies. These resources should facilitate breeding advancements in peanut, helping improve crop productivity and there are a variety of resources for peanut research around the web, ranging from tools for basic plant biology to information for growers and various sectors of the peanut industry to resources for plant breeders.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11512},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11632}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Agriculture","Life Science"],"domains":["Genetic map","Genetic marker","Phenotype","Quantitative trait loci"],"taxonomies":["Arachis","Arachis duranensis","Arachis hypogaea","Arachis ipaensis"],"user_defined_tags":["Marker Assisted Selection","Plant Phenotypes and Traits"],"countries":["United States"],"publications":[{"id":1149,"pubmed_id":null,"title":"PeanutBase and Other Bioinformatic Resources for Peanut","year":2016,"url":"http://doi.org/10.1016/B978-1-63067-038-2.00008-3","authors":"Sudhansu Dash, Ethalinda K.S. Cannon, Scott R. Kalberer, Andrew D. Farmer and Steven B. Cannon","journal":"Chapter 8, In Peanuts Genetics, Processing, and Utilization, edited by H. Thomas Stalker and Richard F. Wilson, AOCS Press, Pages 241-252. (ISBN 9781630670382)","doi":"10.1016/B978-1-63067-038-2.00008-3","created_at":"2021-09-30T08:24:27.732Z","updated_at":"2021-09-30T08:24:27.732Z"}],"licence_links":[{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":818,"relation":"undefined"}],"grants":[{"id":2941,"fairsharing_record_id":2581,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:01.590Z","updated_at":"2021-09-30T09:26:01.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9173,"fairsharing_record_id":2581,"organisation_id":1963,"relation":"maintains","created_at":"2022-04-11T12:07:19.473Z","updated_at":"2022-04-11T12:07:19.473Z","grant_id":null,"is_lead":true,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2582","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T21:17:06.000Z","updated_at":"2023-12-15T10:31:40.084Z","metadata":{"doi":"10.25504/FAIRsharing.5a2c61","name":"Planosphere","status":"ready","contacts":[{"contact_name":"Planosphere Helpdesk","contact_email":"planosphere@stowers.org"}],"homepage":"https://planosphere.stowers.org/","identifier":2582,"description":"Planosphere is a Schmidtea mediterranea (freshwater triclad) molecular staging resource and atlas used for comparative studies of embryogenesis and regeneration.","abbreviation":"Planosphere","data_curation":{"url":"https://github.com/planosphere/PAGE/blob/master/curation_rules.md","type":"manual"},"support_links":[{"url":"https://planosphere.stowers.org/staging","name":"Molecular Staging Resource","type":"Help documentation"},{"url":"https://planosphere.stowers.org/crashcourse","name":"Planarian Embryogenesis Crash Course","type":"Training documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://planosphere.stowers.org/search/rosetta-stone-transcript-mapper","name":"Rosetta Stone Transcription Mapper"},{"url":"https://planosphere.stowers.org/heatmap","name":"Custom Heat Map Generator"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://github.com/planosphere/PAGE/blob/master/PAGE_annotator_instruction.md","type":"open","notes":"Only published data can be entered"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001065","bsg-d001065"],"name":"FAIRsharing record for: Planosphere","abbreviation":"Planosphere","url":"https://fairsharing.org/10.25504/FAIRsharing.5a2c61","doi":"10.25504/FAIRsharing.5a2c61","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Planosphere is a Schmidtea mediterranea (freshwater triclad) molecular staging resource and atlas used for comparative studies of embryogenesis and regeneration.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11513}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Developmental Biology","Embryology","Life Science"],"domains":["Organelle","Organ","Tissue"],"taxonomies":["Schmidtea mediterranea"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1170,"pubmed_id":28072387,"title":"Embryonic origin of adult stem cells required for tissue homeostasis and regeneration.","year":2017,"url":"http://doi.org/10.7554/eLife.21052","authors":"Davies EL,Lei K,Seidel CW,Kroesen AE,McKinney SA,Guo L,Robb SM,Ross EJ,Gotting K,Alvarado AS","journal":"Elife","doi":"10.7554/eLife.21052","created_at":"2021-09-30T08:24:30.018Z","updated_at":"2021-09-30T08:24:30.018Z"}],"licence_links":[{"licence_name":"Stowers Institute Privacy Policy","licence_id":760,"licence_url":"https://www.stowers.org/privacy-policy","link_id":1723,"relation":"undefined"},{"licence_name":"Stowers Institute Terms of Use","licence_id":761,"licence_url":"https://www.stowers.org/terms","link_id":1724,"relation":"undefined"}],"grants":[{"id":2942,"fairsharing_record_id":2582,"organisation_id":1267,"relation":"funds","created_at":"2021-09-30T09:26:01.616Z","updated_at":"2021-09-30T09:26:01.616Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2943,"fairsharing_record_id":2582,"organisation_id":2648,"relation":"maintains","created_at":"2021-09-30T09:26:01.641Z","updated_at":"2021-09-30T09:26:01.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":2648,"name":"Stowers Institute for Medical Research, Kansas City, MO, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2590","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T16:16:20.000Z","updated_at":"2022-07-20T10:30:07.697Z","metadata":{"doi":"10.25504/FAIRsharing.hjxSpv","name":"SuperDRUG2 - A One Stop Resource for Approved/Marketed Drugs","status":"deprecated","contacts":[],"homepage":"http://cheminfo.charite.de/superdrug2/","citations":[],"identifier":2590,"description":"SuperDRUG2, an update of the previous SuperDrug database, is a unique, one-stop resource for approved/marketed drugs, containing more than 4,600 active pharmaceutical ingredients. Drugs are annotated with regulatory details, chemical structures (2D and 3D), dosage, biological targets, physicochemical properties, external identifiers, side-effects and pharmacokinetic data. Different search mechanisms allow navigation through the chemical space of approved drugs. A 2D chemical structure search is provided in addition to a 3D superposition feature that superposes a drug with ligands already known to be found in the experimentally determined protein-ligand complexes. For the first time, we introduced simulation of \"physiologically-based\" pharmacokinetics of drugs. Our interaction check feature not only identifies potential drug-drug interactions but also provides alternative recommendations for elderly patients. Drug structures (2D and 3D), links to external registries (e.g. WHO ATC) and drug/compound databases (e.g. DrugBank, ChEMBL, PubChem), physicochemical properties are provided for download.","abbreviation":"SuperDRUG2","data_curation":{"type":"not found"},"support_links":[{"url":"http://cheminfo.charite.de/superdrug2/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cheminfo.charite.de/superdrug2/statistics.html","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"http://cheminfo.charite.de/superdrug2/pharmacokinetics.jsp","name":"Pharmacokinetics Simulation"},{"url":"http://cheminfo.charite.de/superdrug2/superpose_3d.html","name":"3D Superposition"}],"deprecation_date":"2022-05-18","deprecation_reason":"The homepage for this resource no longer exists, and a new project page cannot be found. Please let us know if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001073","bsg-d001073"],"name":"FAIRsharing record for: SuperDRUG2 - A One Stop Resource for Approved/Marketed Drugs","abbreviation":"SuperDRUG2","url":"https://fairsharing.org/10.25504/FAIRsharing.hjxSpv","doi":"10.25504/FAIRsharing.hjxSpv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SuperDRUG2, an update of the previous SuperDrug database, is a unique, one-stop resource for approved/marketed drugs, containing more than 4,600 active pharmaceutical ingredients. Drugs are annotated with regulatory details, chemical structures (2D and 3D), dosage, biological targets, physicochemical properties, external identifiers, side-effects and pharmacokinetic data. Different search mechanisms allow navigation through the chemical space of approved drugs. A 2D chemical structure search is provided in addition to a 3D superposition feature that superposes a drug with ligands already known to be found in the experimentally determined protein-ligand complexes. For the first time, we introduced simulation of \"physiologically-based\" pharmacokinetics of drugs. Our interaction check feature not only identifies potential drug-drug interactions but also provides alternative recommendations for elderly patients. Drug structures (2D and 3D), links to external registries (e.g. WHO ATC) and drug/compound databases (e.g. DrugBank, ChEMBL, PubChem), physicochemical properties are provided for download.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11796}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Health Science","Chemistry","Pharmacology","Biomedical Science"],"domains":["Chemical structure","Small molecule","Adverse Reaction","Drug interaction","Approved drug"],"taxonomies":["Not applicable"],"user_defined_tags":["Drug Target"],"countries":["Germany"],"publications":[{"id":2114,"pubmed_id":29140469,"title":"SuperDRUG2: a one stop resource for approved/marketed drugs","year":2017,"url":"http://doi.org/10.1093/nar/gkx1088","authors":"Siramshetty VB, Eckert OA, Gohlke BO, Goede A, Chen Q, Devarakonda P, Preissner S, Preissner R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1088","created_at":"2021-09-30T08:26:18.365Z","updated_at":"2021-09-30T08:26:18.365Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1571,"relation":"undefined"}],"grants":[{"id":2956,"fairsharing_record_id":2590,"organisation_id":494,"relation":"funds","created_at":"2021-09-30T09:26:01.974Z","updated_at":"2021-09-30T09:26:01.974Z","grant_id":null,"is_lead":false,"saved_state":{"id":494,"name":"Charite - University Medicine Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2591","type":"fairsharing_records","attributes":{"created_at":"2018-03-07T14:03:45.000Z","updated_at":"2023-12-15T10:32:08.931Z","metadata":{"doi":"10.25504/FAIRsharing.IziuCK","name":"Animal Trait Correlation Database","status":"ready","contacts":[{"contact_name":"Zhiliang Hu","contact_email":"zhu@iastate.edu","contact_orcid":"0000-0002-6704-7538"}],"homepage":"https://www.animalgenome.org/cgi-bin/CorrDB/index","citations":[],"identifier":2591,"description":"A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies","abbreviation":"CorrDB","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.animalgenome.org/bioinfo/services/helpdesk","name":"Help Desk","type":"Contact form"},{"url":"https://www.animalgenome.org/CorrDB/faq","name":"CorrDB FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011496","name":"re3data:r3d100011496","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.animalgenome.org/CorrDB/app","type":"open","notes":"Registering for a free curator account is required to contribute."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001074","bsg-d001074"],"name":"FAIRsharing record for: Animal Trait Correlation Database","abbreviation":"CorrDB","url":"https://fairsharing.org/10.25504/FAIRsharing.IziuCK","doi":"10.25504/FAIRsharing.IziuCK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11639}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Genetics","Life Science","Systems Biology"],"domains":["Network model","Phenotype","Genotype"],"taxonomies":["Bos taurus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":["Livestock"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2958,"fairsharing_record_id":2591,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:26:02.025Z","updated_at":"2021-09-30T09:26:02.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2592","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T06:54:54.000Z","updated_at":"2023-06-22T17:25:28.710Z","metadata":{"doi":"10.25504/FAIRsharing.qqFfXF","name":"BioInformatics Platform for Agroecosystem Arthropods","status":"ready","contacts":[{"contact_name":"BIPAA Helpdesk","contact_email":"bipaa@inra.fr"}],"homepage":"https://bipaa.genouest.org","identifier":2592,"description":"BIPAA is a central platform to assist genomics and post-genomics programs developed on insects associated to agroecosystem, for the Plant Health and Environment Division of INRA. We provide online access to genomic data for multiple arthropod species. We also aim to settle an environment allowing a large community to elaborate complex genomics analyses, browsing, mixing or crossing heterogeneous data. BIPAA created and manages information systems dedicated to genomic data: AphidBase (dedicated to aphids), LepidoDB (dedicated to lepidopteran) and ParWaspDB (dedicated to parasitoid wasps).","abbreviation":"BIPAA","data_curation":{"type":"not found"},"support_links":[{"url":"https://bipaa.genouest.org/is/bipaa/about/","name":"About BIPAA","type":"Help documentation"},{"url":"https://bipaa.genouest.org/is/how-to-annotate-a-genome/","name":"Annotation Guidelines","type":"Help documentation"},{"url":"https://bipaa.genouest.org/is/news/","name":"News","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://bipaa.genouest.org/is/","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001075","bsg-d001075"],"name":"FAIRsharing record for: BioInformatics Platform for Agroecosystem Arthropods","abbreviation":"BIPAA","url":"https://fairsharing.org/10.25504/FAIRsharing.qqFfXF","doi":"10.25504/FAIRsharing.qqFfXF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BIPAA is a central platform to assist genomics and post-genomics programs developed on insects associated to agroecosystem, for the Plant Health and Environment Division of INRA. We provide online access to genomic data for multiple arthropod species. We also aim to settle an environment allowing a large community to elaborate complex genomics analyses, browsing, mixing or crossing heterogeneous data. BIPAA created and manages information systems dedicated to genomic data: AphidBase (dedicated to aphids), LepidoDB (dedicated to lepidopteran) and ParWaspDB (dedicated to parasitoid wasps).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Biology"],"domains":[],"taxonomies":["Arthropoda","Hemiptera","Hymenoptera","Insecta","Lepidoptera"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":2959,"fairsharing_record_id":2592,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:26:02.049Z","updated_at":"2021-09-30T09:26:02.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2593","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T09:38:48.000Z","updated_at":"2022-07-20T12:22:26.873Z","metadata":{"name":"Arabidopsis Information Portal","status":"deprecated","contacts":[{"contact_name":"Araport Helpdesk","contact_email":"araport@jcvi.org"}],"homepage":"https://www.araport.org/","identifier":2593,"description":"The Arabidopsis Information Portal (Araport) is an open-access online community resource for Arabidopsis research. Araport enables biologists to navigate from the Arabidopsis thaliana Col-0 reference genome sequence to its associated annotation including gene structure, gene expression, protein function, and interaction networks. Araport offers gene and protein reports with orthology, expression, interactions and the latest annotation, plus analysis tools, community apps, and web services. Araport is free and open-source. Registered members can save their analysis, publish science apps, and post announcements.","abbreviation":"Araport","data_curation":{"type":"not found"},"support_links":[{"url":"https://gcv-arabidopsis.ncgr.org/instructions","type":"Help documentation"},{"url":"https://github.com/Arabidopsis-Information-Portal","name":"Araport GitHub Repository","type":"Github"},{"url":"https://twitter.com/araport","name":"@araport","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[{"url":"https://apps.araport.org/thalemine","name":"InterMine"}],"deprecation_date":"2021-9-21","deprecation_reason":"This data from this resource are now available as part of other repositories.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001076","bsg-d001076"],"name":"FAIRsharing record for: Arabidopsis Information Portal","abbreviation":"Araport","url":"https://fairsharing.org/fairsharing_records/2593","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arabidopsis Information Portal (Araport) is an open-access online community resource for Arabidopsis research. Araport enables biologists to navigate from the Arabidopsis thaliana Col-0 reference genome sequence to its associated annotation including gene structure, gene expression, protein function, and interaction networks. Araport offers gene and protein reports with orthology, expression, interactions and the latest annotation, plus analysis tools, community apps, and web services. Araport is free and open-source. Registered members can save their analysis, publish science apps, and post announcements.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11640}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Genomics","Life Science"],"domains":["Gene functional annotation","Network model","Gene expression","Molecular interaction","Protein","Orthologous","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2235,"pubmed_id":27862469,"title":"Araport11: a complete reannotation of the Arabidopsis thaliana reference genome.","year":2016,"url":"http://doi.org/10.1111/tpj.13415","authors":"Cheng CY,Krishnakumar V,Chan AP,Thibaud-Nissen F,Schobel S,Town CD","journal":"Plant J","doi":"10.1111/tpj.13415","created_at":"2021-09-30T08:26:31.865Z","updated_at":"2021-09-30T08:26:31.865Z"},{"id":2249,"pubmed_id":28013278,"title":"ThaleMine: A Warehouse for Arabidopsis Data Integration and Discovery.","year":2016,"url":"http://doi.org/10.1093/pcp/pcw200","authors":"Krishnakumar V,Contrino S,Cheng CY,Belyaeva I,Ferlanti ES,Miller JR,Vaughn MW,Micklem G,Town CD,Chan AP","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcw200","created_at":"2021-09-30T08:26:33.551Z","updated_at":"2021-09-30T08:26:33.551Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":434,"relation":"undefined"}],"grants":[{"id":2960,"fairsharing_record_id":2593,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:26:02.074Z","updated_at":"2021-09-30T09:26:02.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2961,"fairsharing_record_id":2593,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:02.099Z","updated_at":"2021-09-30T09:32:47.472Z","grant_id":1779,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1262414","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2962,"fairsharing_record_id":2593,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:02.124Z","updated_at":"2021-09-30T09:30:18.828Z","grant_id":651,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L027151/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2553","type":"fairsharing_records","attributes":{"created_at":"2018-02-03T20:06:41.000Z","updated_at":"2023-12-15T10:32:21.360Z","metadata":{"doi":"10.25504/FAIRsharing.4vsxkr","name":"Climate Data Guide","status":"ready","homepage":"https://climatedataguide.ucar.edu","identifier":2553,"description":"The Climate Data Guide provides concise and reliable information on the strengths and limitations of the key observational data sets, tools and methods used to evaluate Earth system models and to understand the climate system. Citable expert commentaries are authored by experienced data users and developers, enabling scientists to multiply the impacts of their work and the diverse user community to access and understand the essential data. The Climate Data Guide was named an exemplary community resource by the 2012 U.S. National Academies' report, A National Strategy for Advancing Climate Modeling, and is an element of the strategic plan for NCAR's Climate and Global Dynamics Laboratory. NCAR, the National Center for Atmospheric Research, is located in Boulder, Colorado and is widely respected as a leading institution in the atmospheric and related sciences.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://climatedataguide.ucar.edu/content/suggestcontact","name":"Contact and Feedback","type":"Contact form"},{"url":"https://climatedataguide.ucar.edu/climate-model-evaluation","name":"Climate Model Evaluation","type":"Help documentation"},{"url":"https://climatedataguide.ucar.edu/experts","name":"Expert Contributors","type":"Help documentation"},{"url":"https://climatedataguide.ucar.edu/about","name":"About the Climate Data Guide","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://climatedataguide.ucar.edu/climate-data-tools-and-analysis","name":"Analysis Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012500","name":"re3data:r3d100012500","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://climatedataguide.ucar.edu/about/get-involved","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001036","bsg-d001036"],"name":"FAIRsharing record for: Climate Data Guide","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4vsxkr","doi":"10.25504/FAIRsharing.4vsxkr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Climate Data Guide provides concise and reliable information on the strengths and limitations of the key observational data sets, tools and methods used to evaluate Earth system models and to understand the climate system. Citable expert commentaries are authored by experienced data users and developers, enabling scientists to multiply the impacts of their work and the diverse user community to access and understand the essential data. The Climate Data Guide was named an exemplary community resource by the 2012 U.S. National Academies' report, A National Strategy for Advancing Climate Modeling, and is an element of the strategic plan for NCAR's Climate and Global Dynamics Laboratory. NCAR, the National Center for Atmospheric Research, is located in Boulder, Colorado and is widely respected as a leading institution in the atmospheric and related sciences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Earth Science","Atmospheric Science"],"domains":["Climate","Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2042,"pubmed_id":null,"title":"Climate Data Guide Spurs Discovery and Understanding","year":2013,"url":"http://doi.org/10.1002/2013EO130001","authors":"David P. Schneider, Clara Deser, John Fasullo, Kevin E. Trenb","journal":"EOS Earth and Space Science News","doi":"10.1002/2013EO130001","created_at":"2021-09-30T08:26:10.031Z","updated_at":"2021-09-30T08:26:10.031Z"}],"licence_links":[{"licence_name":"UCAR Privacy Policy","licence_id":799,"licence_url":"https://www.ucar.edu/privacy-notice","link_id":1958,"relation":"undefined"},{"licence_name":"UCAR Terms of Use","licence_id":800,"licence_url":"https://www.ucar.edu/terms-of-use","link_id":1957,"relation":"undefined"}],"grants":[{"id":2876,"fairsharing_record_id":2553,"organisation_id":3000,"relation":"maintains","created_at":"2021-09-30T09:25:59.495Z","updated_at":"2021-09-30T09:25:59.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":3000,"name":"University Corporation for Atmospheric Research (UCAR), Boulder, CO, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2877,"fairsharing_record_id":2553,"organisation_id":1957,"relation":"maintains","created_at":"2021-09-30T09:25:59.538Z","updated_at":"2021-09-30T09:25:59.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1957,"name":"National Center for Atmospheric Research (NCAR), Boulder, CO, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2878,"fairsharing_record_id":2553,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:59.575Z","updated_at":"2021-09-30T09:25:59.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2554","type":"fairsharing_records","attributes":{"created_at":"2018-01-10T17:42:18.000Z","updated_at":"2023-12-15T10:31:26.692Z","metadata":{"doi":"10.25504/FAIRsharing.kqbg3s","name":"Integrated Resource for Reproducibility in Macromolecular Crystallography","status":"ready","contacts":[{"contact_name":"Wladek Minor Lab","contact_email":"support@protein.diffraction.org","contact_orcid":"0000-0002-8072-4919"}],"homepage":"https://proteindiffraction.org","citations":[{"doi":"10.1107/S2059798316014716","pubmed_id":27841751,"publication_id":2094}],"identifier":2554,"description":"The Integrated Resource for Reproducibility in Macromolecular Crystallography (IRRMC) was created to make the raw data of protein crystallography more widely available. The IRRMC identifies, catalogs and provides metadata related to datasets that could be used to reprocess the original diffraction data. The intent of this project is to make the resulting three-dimensional structures more reproducible and easier to modify and improve as processing methods advance.","abbreviation":"IRRMC","data_curation":{"type":"not found"},"support_links":[{"url":"https://proteindiffraction.org/news/","name":"News","type":"Blog/News"},{"url":"https://proteindiffraction.org/statistics/","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012269","name":"re3data:r3d100012269","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://proteindiffraction.org/login/?next=/submit-data/select","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001037","bsg-d001037"],"name":"FAIRsharing record for: Integrated Resource for Reproducibility in Macromolecular Crystallography","abbreviation":"IRRMC","url":"https://fairsharing.org/10.25504/FAIRsharing.kqbg3s","doi":"10.25504/FAIRsharing.kqbg3s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Resource for Reproducibility in Macromolecular Crystallography (IRRMC) was created to make the raw data of protein crystallography more widely available. The IRRMC identifies, catalogs and provides metadata related to datasets that could be used to reprocess the original diffraction data. The intent of this project is to make the resulting three-dimensional structures more reproducible and easier to modify and improve as processing methods advance.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12797}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein structure","Experimental measurement","X-ray diffraction","X-ray crystallography assay","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":645,"pubmed_id":31768399,"title":"The Integrated Resource for Reproducibility in Macromolecular Crystallography: Experiences of the first four years.","year":2019,"url":"http://doi.org/10.1063/1.5128672","authors":"Grabowski M,Cymborowski M,Porebski PJ,Osinski T,Shabalin IG,Cooper DR,Minor W","journal":"Struct Dyn","doi":"10.1063/1.5128672","created_at":"2021-09-30T08:23:30.994Z","updated_at":"2021-09-30T08:23:30.994Z"},{"id":2094,"pubmed_id":27841751,"title":"A public database of macromolecular diffraction experiments.","year":2016,"url":"http://doi.org/10.1107/S2059798316014716","authors":"Grabowski M,Langner KM,Cymborowski M,Porebski PJ,Sroka P,Zheng H,Cooper DR,Zimmerman MD,Elsliger MA,Burley SK,Minor W","journal":"Acta Crystallogr D Struct Biol","doi":"10.1107/S2059798316014716","created_at":"2021-09-30T08:26:15.982Z","updated_at":"2021-09-30T08:26:15.982Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2074,"relation":"undefined"}],"grants":[{"id":2879,"fairsharing_record_id":2554,"organisation_id":1877,"relation":"maintains","created_at":"2021-09-30T09:25:59.610Z","updated_at":"2021-09-30T09:25:59.610Z","grant_id":null,"is_lead":false,"saved_state":{"id":1877,"name":"Minor Lab at the University of Virginia, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2880,"fairsharing_record_id":2554,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:59.646Z","updated_at":"2021-09-30T09:32:48.781Z","grant_id":1786,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"Targeted Software Development Award 1 U01 HG008424-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2555","type":"fairsharing_records","attributes":{"created_at":"2018-02-04T20:42:40.000Z","updated_at":"2021-11-24T13:20:12.104Z","metadata":{"doi":"10.25504/FAIRsharing.v1knrj","name":"Dash","status":"deprecated","contacts":[{"contact_name":"University of California Curation Center Helpdesk","contact_email":"uc3@ucop.edu"}],"homepage":"https://dash.ucop.edu","identifier":2555,"description":"Dash is an open source, community driven project that takes a unique approach to data publication and digital preservation. Dash focuses on search, presentation, and discovery and delegates the responsibility for the data preservation function to the underlying repository with which it is integrated. Dash is based at the University of California Curation Center (UC3), a program at California Digital Library (CDL) that aims to develop interdisciplinary research data infrastructure. Dash employs a multi-tenancy user interface providing partners with extensive opportunities for local branding and customization, use of existing campus login credentials, and, importantly, offering the Dash service under a tenant-specific URL, an important consideration helping to drive adoption. We welcome collaborations with other organizations wishing to provide a simple, intuitive data publication service on top of more cumbersome legacy systems.","abbreviation":"Dash","data_curation":{"type":"not found"},"support_links":[{"url":"https://dash.ucop.edu/stash/faq/","name":"Dash FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://dash.ucop.edu/stash/help","name":"Help Page","type":"Help documentation"},{"url":"http://cdluc3.github.io/dash/","name":"GitHub Project","type":"Github"}],"data_versioning":"not found","deprecation_date":"2020-05-20","deprecation_reason":"This resource has sunsetted.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001038","bsg-d001038"],"name":"FAIRsharing record for: Dash","abbreviation":"Dash","url":"https://fairsharing.org/10.25504/FAIRsharing.v1knrj","doi":"10.25504/FAIRsharing.v1knrj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dash is an open source, community driven project that takes a unique approach to data publication and digital preservation. Dash focuses on search, presentation, and discovery and delegates the responsibility for the data preservation function to the underlying repository with which it is integrated. Dash is based at the University of California Curation Center (UC3), a program at California Digital Library (CDL) that aims to develop interdisciplinary research data infrastructure. Dash employs a multi-tenancy user interface providing partners with extensive opportunities for local branding and customization, use of existing campus login credentials, and, importantly, offering the Dash service under a tenant-specific URL, an important consideration helping to drive adoption. We welcome collaborations with other organizations wishing to provide a simple, intuitive data publication service on top of more cumbersome legacy systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"California Digital Library (CDL) Privacy Policy","licence_id":91,"licence_url":"http://www.cdlib.org/about/privacy.html","link_id":88,"relation":"undefined"},{"licence_name":"California Digital Library (CDL) Terms of Use","licence_id":92,"licence_url":"http://www.cdlib.org/about/terms.html","link_id":57,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":113,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":99,"relation":"undefined"}],"grants":[{"id":2881,"fairsharing_record_id":2555,"organisation_id":340,"relation":"maintains","created_at":"2021-09-30T09:25:59.687Z","updated_at":"2021-09-30T09:25:59.687Z","grant_id":null,"is_lead":false,"saved_state":{"id":340,"name":"California Digital Library (CDL), University of California, Oakland, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2586","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T10:17:55.000Z","updated_at":"2023-12-15T10:32:35.608Z","metadata":{"doi":"10.25504/FAIRsharing.d5BjMU","name":"MusaBase","status":"ready","contacts":[{"contact_name":"Guillaume Bauchet","contact_email":"gjb99@cornell.du"}],"homepage":"https://musabase.org/","identifier":2586,"description":"MusaBase is a breeding database designed for advanced breeding methods in banana breeding. It focuses on bananas that are important food crops in Africa, such as Mchare and Matooke bananas. Data in MusaBase comes mainly from breeding programs in Uganda (NARO Kawanda, IITA Sendusu) as well as Tanzania (IITA Arusha, newly located at Nelson Mandela University).","abbreviation":"MusaBase","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.facebook.com/solgenomics","name":"Facebook","type":"Facebook"},{"url":"https://musabase.org/contact/form","name":"Musabase Contact Form","type":"Contact form"},{"url":"https://musabase.org/help/faq.pl","name":"Musabase FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://musabase.org/forum/topics.pl","name":"Musabase forum","type":"Forum"},{"url":"https://docs.google.com/document/d/1ZJjxsarGqGTv4HgJTt-EodOoaEmJ3lgSeV0Qq_YKJaY","name":"User Manual","type":"Help documentation"},{"url":"sgn-announce@rubisco.sgn.cornell.edu","name":"Sol Genomics Network Announcement Mailing List","type":"Mailing list"},{"url":"https://fr.slideshare.net/solgenomics/musabase-pag-2018","name":"SlideShare","type":"Help documentation"},{"url":"https://twitter.com/solgenomics","name":"@solgenomics","type":"Twitter"}],"data_versioning":"not found","data_access_condition":{"type":"open","notes":"Free account is needed to access some data."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://musabase.org/help/faq.pl","type":"open","notes":"Description of the data you would like to submit has to be sent via the Contact Form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001069","bsg-d001069"],"name":"FAIRsharing record for: MusaBase","abbreviation":"MusaBase","url":"https://fairsharing.org/10.25504/FAIRsharing.d5BjMU","doi":"10.25504/FAIRsharing.d5BjMU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MusaBase is a breeding database designed for advanced breeding methods in banana breeding. It focuses on bananas that are important food crops in Africa, such as Mchare and Matooke bananas. Data in MusaBase comes mainly from breeding programs in Uganda (NARO Kawanda, IITA Sendusu) as well as Tanzania (IITA Arusha, newly located at Nelson Mandela University).","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11635}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Plant Breeding","Genomics","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"2009 Toronto Statement on Benefits and Best Practices of Rapid Pre-Publication Data Release","licence_id":1,"licence_url":"https://dx.doi.org/10.1038%2F461168a","link_id":1621,"relation":"undefined"}],"grants":[{"id":2951,"fairsharing_record_id":2586,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:01.840Z","updated_at":"2021-09-30T09:26:01.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2589","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T11:01:59.000Z","updated_at":"2023-12-15T10:30:06.029Z","metadata":{"doi":"10.25504/FAIRsharing.ejofJI","name":"Cassavabase","status":"ready","contacts":[{"contact_name":"Guillaume Bauchet","contact_email":"gjb99@cornell.edu"}],"homepage":"https://cassavabase.org","identifier":2589,"description":"Cassavabase is a database containing breeding data for Cassava (Manihot esculenta). Cassava is a major staple crop and the main source of calories for 500 million people across the globe. No other continent depends on cassava to feed as many people as does Africa. Cassava is indispensable to food security in Africa. It is a widely preferred and consumed staple, as well as a hardy crop that can be stored in the ground as a fall-back source of food that can save lives in times of famine. Despite the importance of cassava for food security on the African continent, it has received relatively little research and development attention compared to other staples such as wheat, rice and maize. The key to unlocking the full potential of cassava lies largely in bringing cassava breeding into the 21st century.","abbreviation":"Cassavabase","data_curation":{"type":"none"},"support_links":[{"url":"https://www.facebook.com/cassavabase/","name":"Facebook","type":"Facebook"},{"url":"https://cassavabase.org/contact/form","name":"Cassavabase Contact Form","type":"Contact form"},{"url":"https://cassavabase.org/help/faq.pl","name":"Cassavabase FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://cassavabase.org/forum/topics.pl","name":"Cassavabase Forum","type":"Forum"},{"url":"https://docs.google.com/document/d/1ZJjxsarGqGTv4HgJTt-EodOoaEmJ3lgSeV0Qq_YKJaY/edit","name":"User Manual","type":"Help documentation"},{"url":"https://github.com/solgenomics/cassava","name":"GitHub","type":"Github"},{"url":"https://fr.slideshare.net/solgenomics/1-introduction-to-cassavabase-57894179","name":"SlideShare introduction to cassavabase","type":"Help documentation"},{"url":"https://fr.slideshare.net/solgenomics/cassavabase-general-presentation-pag-2016","name":"SlideShare Cassavabase general presentation PAG 2016","type":"Help documentation"},{"url":"https://twitter.com/solgenomics","name":"@solgenomics","type":"Twitter"}],"year_creation":2012,"data_versioning":"not found","associated_tools":[{"url":"https://cassavabase.org/pca/analysis","name":"Population Structure Analysis"},{"url":"https://cassavabase.org/jbrowse_cassavabase/?data=data/json/hapmap_variants","name":"JBrowse"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013440","name":"re3data:r3d100013440","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://cassavabase.org/help/faq.pl","type":"controlled","notes":"Submission should be required via the contact form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001072","bsg-d001072"],"name":"FAIRsharing record for: Cassavabase","abbreviation":"Cassavabase","url":"https://fairsharing.org/10.25504/FAIRsharing.ejofJI","doi":"10.25504/FAIRsharing.ejofJI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cassavabase is a database containing breeding data for Cassava (Manihot esculenta). Cassava is a major staple crop and the main source of calories for 500 million people across the globe. No other continent depends on cassava to feed as many people as does Africa. Cassava is indispensable to food security in Africa. It is a widely preferred and consumed staple, as well as a hardy crop that can be stored in the ground as a fall-back source of food that can save lives in times of famine. Despite the importance of cassava for food security on the African continent, it has received relatively little research and development attention compared to other staples such as wheat, rice and maize. The key to unlocking the full potential of cassava lies largely in bringing cassava breeding into the 21st century.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11638},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16726}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Plant Breeding","Genomics","Agriculture","Life Science"],"domains":[],"taxonomies":["Manihot esculenta"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1263,"pubmed_id":25428362,"title":"The Sol Genomics Network (SGN)--from genotype to phenotype to breeding.","year":2014,"url":"http://doi.org/10.1093/nar/gku1195","authors":"Fernandez-Pozo N,Menda N,Edwards JD,Saha S,Tecle IY,Strickler SR,Bombarely A,Fisher-York T,Pujar A,Foerster H,Yan A,Mueller LA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1195","created_at":"2021-09-30T08:24:40.915Z","updated_at":"2021-09-30T11:29:04.434Z"}],"licence_links":[{"licence_name":"2009 Toronto Statement on Benefits and Best Practices of Rapid Pre-Publication Data Release","licence_id":1,"licence_url":"https://dx.doi.org/10.1038%2F461168a","link_id":1620,"relation":"undefined"}],"grants":[{"id":2955,"fairsharing_record_id":2589,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:01.948Z","updated_at":"2021-09-30T09:26:01.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2954,"fairsharing_record_id":2589,"organisation_id":614,"relation":"funds","created_at":"2021-09-30T09:26:01.916Z","updated_at":"2021-09-30T09:26:01.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":614,"name":"Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2577","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T13:33:07.000Z","updated_at":"2024-04-11T10:22:39.543Z","metadata":{"doi":"10.25504/FAIRsharing.221d46","name":"Genome Database for Vaccinium","status":"ready","contacts":[],"homepage":"https://www.vaccinium.org/","citations":[],"identifier":2577,"description":"The amount of genetic research data for Vaccinium is steadily increasing and there is a need for a system that can organize, filter and provide analysis of the available research to be directly applied in breeding programs. The Genome Database for Vaccinium (GDV) is a curated and integrated web-based relational database. The GDV integrates genomic, genetic and breeding data for blueberry, cranberry and other Vaccinium species. The GDV includes Vaccinium genomes, annotated transcripts, traits, maps and markers.","abbreviation":"GDV","data_curation":{"url":"https://www.vaccinium.org/content/about","type":"manual"},"support_links":[{"url":"https://www.vaccinium.org/news/community","name":"News","type":"Blog/News"},{"url":"https://www.vaccinium.org/contact","name":"GDV Contact Form","type":"Contact form"},{"url":"https://www.vaccinium.org/userManual","name":"GDV User Manual","type":"Help documentation"},{"url":"gdv_news@bioinfo.wsu.edu","name":"GDV Mailing list","type":"Mailing list"},{"url":"https://www.vaccinium.org/content/about","name":"About GDV","type":"Help documentation"},{"url":"https://twitter.com/GDV_news","name":"@GDV_news","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://www.vaccinium.org/MapViewer","name":"MapViewer"},{"url":"https://www.vaccinium.org/blast","name":"BLAST+"},{"url":"https://www.vaccinium.org/bims","name":"Breeding Information Management System (BIMS)"},{"url":"https://www.vaccinium.org/jbrowses","name":"JBrowse"},{"url":"https://ptools.vaccinium.org/","name":"PathwayCyc"},{"url":"https://www.vaccinium.org/synview/search/","name":"Synteny Viewer"},{"url":"https://www.vaccinium.org/heatmap","name":"Expression Heatmap"}],"cross_references":[{"url":"https://www.fruitandnutlist.org/","name":"Fruit and Nut Cultivars Database","portal":"Other"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.vaccinium.org/data_submission","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001060","bsg-d001060"],"name":"FAIRsharing record for: Genome Database for Vaccinium","abbreviation":"GDV","url":"https://fairsharing.org/10.25504/FAIRsharing.221d46","doi":"10.25504/FAIRsharing.221d46","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The amount of genetic research data for Vaccinium is steadily increasing and there is a need for a system that can organize, filter and provide analysis of the available research to be directly applied in breeding programs. The Genome Database for Vaccinium (GDV) is a curated and integrated web-based relational database. The GDV integrates genomic, genetic and breeding data for blueberry, cranberry and other Vaccinium species. The GDV includes Vaccinium genomes, annotated transcripts, traits, maps and markers.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11508},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11630},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12801}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Agriculture","Biology","Plant Genetics"],"domains":[],"taxonomies":["Vaccinium","Vaccinium corymbosum","Vaccinium darrowii","Vaccinium macrocarpon","Vaccinium microcarpum","Vaccinium oxycoccos","Vaccinium myrtillus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GDV disclaimer","licence_id":327,"licence_url":"https://www.vaccinium.org/content/disclaimer","link_id":1665,"relation":"undefined"}],"grants":[{"id":2923,"fairsharing_record_id":2577,"organisation_id":3219,"relation":"funds","created_at":"2021-09-30T09:26:01.111Z","updated_at":"2021-09-30T09:26:01.111Z","grant_id":null,"is_lead":false,"saved_state":{"id":3219,"name":"Washington State University, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2927,"fairsharing_record_id":2577,"organisation_id":2334,"relation":"funds","created_at":"2021-09-30T09:26:01.242Z","updated_at":"2021-09-30T09:26:01.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":2334,"name":"Plants for Human Health Institute, North Carolina State University, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2926,"fairsharing_record_id":2577,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:01.211Z","updated_at":"2021-09-30T09:28:54.267Z","grant_id":8,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"National Science Foundation (NSF) Plant Genome Research Program","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2924,"fairsharing_record_id":2577,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:26:01.141Z","updated_at":"2021-09-30T09:26:01.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2925,"fairsharing_record_id":2577,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:01.170Z","updated_at":"2021-09-30T09:26:01.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2922,"fairsharing_record_id":2577,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:01.060Z","updated_at":"2021-09-30T09:29:27.197Z","grant_id":257,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","grant":"National Research Support Project (NRSP) 10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--565c80b8b4ebc7e95b65453c167a303b23b0dea6/GDVlogo_text.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2579","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T14:55:45.000Z","updated_at":"2023-10-18T16:26:56.571Z","metadata":{"doi":"10.25504/FAIRsharing.BZKHEH","name":"Legume Information System","status":"ready","contacts":[{"contact_name":"Steven B. Cannon","contact_email":"steven.cannon@ars.usda.gov","contact_orcid":"0000-0003-2777-8034"}],"homepage":"https://legumeinfo.org/","citations":[],"identifier":2579,"description":"The Legume Information System (LIS) is a collaborative, community resource to facilitate crop improvement by integrating genetic, genomic, and trait data across legume species.","abbreviation":"LIS","data_curation":{"type":"manual","notes":"User should contact resource managers directly to submit data, immediate manual curation"},"support_links":[{"url":"https://legumeinfo.org/contact","name":"LIS Contact Form","type":"Contact form"},{"url":"https://legumeinfo.org/help","name":"LIS Help Pages","type":"Help documentation"},{"url":"https://legumeinfo.org/germplasm","name":"Germplasm Resources","type":"Help documentation"},{"url":"https://legumeinfo.org/traits_maps","name":"Traits and Maps Available at LIS","type":"Help documentation"},{"url":"https://us13.list-manage.com/subscribe?u=ff3fe0b89e836dfc80515dd83\u0026id=2ef4c06119","name":"Newsletter","type":"Help documentation"},{"url":"https://twitter.com/legumefed","name":"@legumefed","type":"Twitter"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"https://legumeinfo.org/annot","name":"Annotation Tool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.legumeinfo.org/about/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001062","bsg-d001062"],"name":"FAIRsharing record for: Legume Information System","abbreviation":"LIS","url":"https://fairsharing.org/10.25504/FAIRsharing.BZKHEH","doi":"10.25504/FAIRsharing.BZKHEH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Legume Information System (LIS) is a collaborative, community resource to facilitate crop improvement by integrating genetic, genomic, and trait data across legume species.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11510},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11631}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Arachis duranensis","Arachis hypogaea","Arachis ipaensis","Cajanus cajan","Cicer arietinum","Glycine max","Lotus japonicus","Lupinus angustifolius","Medicago sativa","Medicago truncatula","Phaseolus vulgaris","Pisum sativum","Trifolium pratense","Trifolium repens","Vigna angularis","Vigna radiata","Vigna unguiculata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United States"],"publications":[{"id":930,"pubmed_id":26546515,"title":"Legume information system (LegumeInfo.org): a key component of a set of federated data resources for the legume family.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1159","authors":"Dash S,Campbell JD,Cannon EK,Cleary AM,Huang W,Kalberer SR,Karingula V,Rice AG,Singh J,Umale PE,Weeks NT,Wilkey AP,Farmer AD,Cannon SB","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1159","created_at":"2021-09-30T08:24:02.866Z","updated_at":"2021-09-30T11:28:55.500Z"},{"id":936,"pubmed_id":15608283,"title":"The Legume Information System (LIS): an integrated information resource for comparative legume biology.","year":2004,"url":"http://doi.org/10.1093/nar/gki128","authors":"Gonzales MD,Archuleta E,Farmer A,Gajendran K,Grant D,Shoemaker R,Beavis WD,Waugh ME","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki128","created_at":"2021-09-30T08:24:03.560Z","updated_at":"2021-09-30T11:28:55.601Z"}],"licence_links":[],"grants":[{"id":2935,"fairsharing_record_id":2579,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:01.441Z","updated_at":"2021-09-30T09:26:01.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2934,"fairsharing_record_id":2579,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:01.416Z","updated_at":"2021-09-30T09:29:58.339Z","grant_id":493,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS-1444806","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2932,"fairsharing_record_id":2579,"organisation_id":1963,"relation":"maintains","created_at":"2021-09-30T09:26:01.365Z","updated_at":"2021-09-30T09:26:01.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2933,"fairsharing_record_id":2579,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:01.391Z","updated_at":"2021-09-30T09:26:01.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2580","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T19:38:54.000Z","updated_at":"2022-07-20T09:03:35.102Z","metadata":{"doi":"10.25504/FAIRsharing.5yH3KC","name":"Medicago truncatula Genome Database","status":"deprecated","contacts":[],"homepage":"https://www.jcvi.org/research/medicago-truncatula-genome-database","citations":[],"identifier":2580,"description":"Medicago truncatula, a close relative of alfalfa, is a preeminent model for the study of the processes of nitrogen fixation, symbiosis, and legume genomics. J. Craig Venter Institute (JCVI; formerly TIGR) has been involved in M. truncatula genome sequencing and annotation since 2002 and has maintained a web-based resource providing data to the community for this entire period. This database stores the latest version of the genome, associated data and legacy project information together with a set of open-source tools.","abbreviation":"MTGD","data_curation":{},"support_links":[{"url":"http://www.medicagogenome.org/contact","name":"MTGD Contact Form","type":"Contact form"},{"url":"http://www.medicagogenome.org/genomeDetail?block=feature_counts","name":"Feature Summary / Statistics","type":"Help documentation"},{"url":"http://www.medicagogenome.org/about/project-overview","name":"Project Overview","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://www.medicagogenome.org/tools/medicmine","name":"MedicMine"},{"url":"http://www.medicagogenome.org/tools/jbrowse","name":"JBrowse"},{"url":"http://www.medicagogenome.org/search/blast","name":"BLAST"}],"deprecation_date":"2022-06-28","deprecation_reason":"The project that created this repository is now completed.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001063","bsg-d001063"],"name":"FAIRsharing record for: Medicago truncatula Genome Database","abbreviation":"MTGD","url":"https://fairsharing.org/10.25504/FAIRsharing.5yH3KC","doi":"10.25504/FAIRsharing.5yH3KC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Medicago truncatula, a close relative of alfalfa, is a preeminent model for the study of the processes of nitrogen fixation, symbiosis, and legume genomics. J. Craig Venter Institute (JCVI; formerly TIGR) has been involved in M. truncatula genome sequencing and annotation since 2002 and has maintained a web-based resource providing data to the community for this entire period. This database stores the latest version of the genome, associated data and legacy project information together with a set of open-source tools.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11511}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Genomics","Life Science"],"domains":["Genome annotation"],"taxonomies":["Medicago truncatula"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":953,"pubmed_id":25432968,"title":"MTGD: The Medicago truncatula genome database.","year":2014,"url":"http://doi.org/10.1093/pcp/pcu179","authors":"Krishnakumar V,Kim M,Rosen BD,Karamycheva S,Bidwell SL,Tang H,Town CD","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcu179","created_at":"2021-09-30T08:24:05.424Z","updated_at":"2021-09-30T08:24:05.424Z"}],"licence_links":[],"grants":[{"id":2936,"fairsharing_record_id":2580,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:26:01.465Z","updated_at":"2021-09-30T09:26:01.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2938,"fairsharing_record_id":2580,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:01.516Z","updated_at":"2021-09-30T09:29:58.355Z","grant_id":493,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS-1444806","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9097,"fairsharing_record_id":2580,"organisation_id":3275,"relation":"funds","created_at":"2022-04-07T13:58:30.379Z","updated_at":"2022-04-07T13:58:30.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":3275,"name":"Zhao Bioinformatics Laboratory, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2939,"fairsharing_record_id":2580,"organisation_id":3108,"relation":"funds","created_at":"2021-09-30T09:26:01.541Z","updated_at":"2021-09-30T09:26:01.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":3108,"name":"University of Oklahoma, USA","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2556","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T10:04:09.000Z","updated_at":"2023-12-15T10:31:55.167Z","metadata":{"doi":"10.25504/FAIRsharing.yknezb","name":"DataCite Repository","status":"ready","contacts":[{"contact_name":"DataCite Support","contact_email":"support@datacite.org"}],"homepage":"https://search.datacite.org/","citations":[],"identifier":2556,"description":"DataCite is a leading global non-profit organisation that provides persistent identifiers (DOIs) for research data. Their goal is to help the research community locate, identify, and cite research data with confidence. They support the creation and allocation of DOIs and accompanying metadata. They provide services that support the enhanced search and discovery of research content. They also promote data citation and advocacy through community-building efforts and responsive communication and outreach materials. DataCite gathers metadata for each DOI assigned to an object. The metadata is used for a large index of research data that can be queried directly to find data, obtain stats and explore connections. All the metadata is free to access and review. To showcase and expose the metadata gathered, DataCite provides an integrated search interface, where it is possible to search, filter and extract all the details from a collection of millions of records.","abbreviation":"DataCite","data_curation":{"type":"none"},"support_links":[{"url":"http://blog.datacite.org","name":"DataCite Blog","type":"Blog/News"},{"url":"https://groups.google.com/a/datacite.org/forum/#!forum/allusers","name":"All Users Mailing List","type":"Mailing list"},{"url":"https://support.datacite.org/docs/datacite-search-user-documentation","name":"DataCite User Documentation","type":"Help documentation"},{"url":"http://status.datacite.org/","name":"Current Status of Service","type":"Help documentation"},{"url":"http://stats.datacite.org/","name":"Statistics","type":"Help documentation"},{"url":"https://www.datacite.org/dois.html","name":"How to assign a DOI","type":"Help documentation"},{"url":"https://twitter.com/datacite","name":"@datacite","type":"Twitter"},{"url":"https://commons.datacite.org/statistics","name":"PID Graph Statistics","type":"Other"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://citation.crosscite.org/","name":"Citation Formatter"},{"url":"https://doi.datacite.org/","name":"Fabrica Registration Tool"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://datacite.org/create-dois/","type":"controlled","notes":"Creating a DOI requires service fees."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001039","bsg-d001039"],"name":"FAIRsharing record for: DataCite Repository","abbreviation":"DataCite","url":"https://fairsharing.org/10.25504/FAIRsharing.yknezb","doi":"10.25504/FAIRsharing.yknezb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DataCite is a leading global non-profit organisation that provides persistent identifiers (DOIs) for research data. Their goal is to help the research community locate, identify, and cite research data with confidence. They support the creation and allocation of DOIs and accompanying metadata. They provide services that support the enhanced search and discovery of research content. They also promote data citation and advocacy through community-building efforts and responsive communication and outreach materials. DataCite gathers metadata for each DOI assigned to an object. The metadata is used for a large index of research data that can be queried directly to find data, obtain stats and explore connections. All the metadata is free to access and review. To showcase and expose the metadata gathered, DataCite provides an integrated search interface, where it is possible to search, filter and extract all the details from a collection of millions of records.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12257}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["Worldwide"],"publications":[{"id":1975,"pubmed_id":25038897,"title":"DataCite and DOI names for research data.","year":2014,"url":"http://doi.org/10.1007/s10822-014-9776-5","authors":"Neumann J,Brase J","journal":"J Comput Aided Mol Des","doi":"10.1007/s10822-014-9776-5","created_at":"2021-09-30T08:26:02.240Z","updated_at":"2021-09-30T08:26:02.240Z"}],"licence_links":[{"licence_name":"DataCite Privacy Policy","licence_id":218,"licence_url":"https://www.datacite.org/privacy.html","link_id":145,"relation":"undefined"},{"licence_name":"DataCite Terms and Conditions","licence_id":219,"licence_url":"https://www.datacite.org/terms.html","link_id":144,"relation":"undefined"}],"grants":[{"id":2882,"fairsharing_record_id":2556,"organisation_id":1140,"relation":"maintains","created_at":"2021-09-30T09:25:59.725Z","updated_at":"2021-09-30T09:25:59.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":1140,"name":"German National Library of Science and Technology (TIB), Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2557","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T10:44:18.000Z","updated_at":"2023-12-15T10:30:26.049Z","metadata":{"doi":"10.25504/FAIRsharing.x68mjp","name":"Publications at Bielefeld University","status":"ready","contacts":[{"contact_email":"publikationsdienste.ub@uni-bielefeld.de"}],"homepage":"https://pub.uni-bielefeld.de/","identifier":2557,"description":"Publications at Bielefeld University (PUB) is the institutional repository of Bielefeld University and preserves the scholarly output of its members. Operated by Bielefeld University Library, PUB provides open access to Bielefeld's scholarly publications and research data in accordance with Bielefeld University's open access and research data resolutions. PUB also collects digital theses. With more than 50,000 publications, PUB is the most comprehensive bibliography on scholarly activities at Bielefeld University. Faculty and researchers self-archive full texts when possible. As a plus, PUB cross-references leading indexing services and disciplinary archives such as the Web of Science, CrossRef, PubMed, Europe PubMed Central, arXiv or INSPIRE HEP.","abbreviation":"PUB","data_curation":{"url":"https://pub.uni-bielefeld.de/docs/howto/start","type":"automated","notes":"Long term curation strategy."},"support_links":[{"url":"https://pub.uni-bielefeld.de/docs/howto/contact","name":"Contact Details","type":"Contact form"},{"url":"https://pub.uni-bielefeld.de/docs/howto/start","name":"About PUB","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010750","name":"re3data:r3d100010750","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://shibboleth.uni-bielefeld.de/idp/profile/SAML2/Redirect/SSO?execution=e1s1","type":"controlled","notes":"Only Bielefeld University members can submit publications."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001040","bsg-d001040"],"name":"FAIRsharing record for: Publications at Bielefeld University","abbreviation":"PUB","url":"https://fairsharing.org/10.25504/FAIRsharing.x68mjp","doi":"10.25504/FAIRsharing.x68mjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Publications at Bielefeld University (PUB) is the institutional repository of Bielefeld University and preserves the scholarly output of its members. Operated by Bielefeld University Library, PUB provides open access to Bielefeld's scholarly publications and research data in accordance with Bielefeld University's open access and research data resolutions. PUB also collects digital theses. With more than 50,000 publications, PUB is the most comprehensive bibliography on scholarly activities at Bielefeld University. Faculty and researchers self-archive full texts when possible. As a plus, PUB cross-references leading indexing services and disciplinary archives such as the Web of Science, CrossRef, PubMed, Europe PubMed Central, arXiv or INSPIRE HEP.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["Open Science"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Horizon 2020 Open Access and Data Management Requirements","licence_id":401,"licence_url":"http://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross-cutting-issues/open-access-dissemination_en.htm","link_id":239,"relation":"undefined"},{"licence_name":"Perl 5 License","licence_id":656,"licence_url":"http://dev.perl.org/licenses/","link_id":236,"relation":"undefined"}],"grants":[{"id":2883,"fairsharing_record_id":2557,"organisation_id":214,"relation":"maintains","created_at":"2021-09-30T09:25:59.759Z","updated_at":"2021-09-30T09:25:59.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":214,"name":"Bielefeld University Library, Bielefeld University, Bielefeld, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2559","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T11:23:31.000Z","updated_at":"2023-12-15T10:27:37.479Z","metadata":{"doi":"10.25504/FAIRsharing.58wjha","name":"da|ra","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"support@da-ra.de","contact_orcid":null},{"contact_name":"Sebastian Netscher","contact_email":"sebastian.netscher@gesis.org","contact_orcid":"0000-0002-2784-6968"}],"homepage":"https://www.da-ra.de/","citations":[],"identifier":2559,"description":"da|ra is the DOI registration agency for social science and economic data jointly run by GESIS and ZBW. This registry provides long-term, persistent identification, storage, localization and reliable citation of research data.","abbreviation":"da|ra","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.da-ra.de/support","name":"Support","type":"Help documentation"},{"url":"https://www.da-ra.de/support#faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.da-ra.de/get-a-doi#da-ra-policy","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001042","bsg-d001042"],"name":"FAIRsharing record for: da|ra","abbreviation":"da|ra","url":"https://fairsharing.org/10.25504/FAIRsharing.58wjha","doi":"10.25504/FAIRsharing.58wjha","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: da|ra is the DOI registration agency for social science and economic data jointly run by GESIS and ZBW. This registry provides long-term, persistent identification, storage, localization and reliable citation of research data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Social Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":["Researcher data"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Da|ra privacy and copyright","licence_id":1039,"licence_url":"https://www.da-ra.de/privacy","link_id":3096,"relation":"applies_to_content"}],"grants":[{"id":2886,"fairsharing_record_id":2559,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:59.868Z","updated_at":"2021-09-30T09:25:59.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2885,"fairsharing_record_id":2559,"organisation_id":1700,"relation":"maintains","created_at":"2021-09-30T09:25:59.829Z","updated_at":"2022-10-12T14:05:05.490Z","grant_id":null,"is_lead":true,"saved_state":{"id":1700,"name":"Leibniz Institute for the Social Sciences","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2887,"fairsharing_record_id":2559,"organisation_id":1696,"relation":"maintains","created_at":"2021-09-30T09:25:59.904Z","updated_at":"2022-10-12T14:05:05.454Z","grant_id":null,"is_lead":true,"saved_state":{"id":1696,"name":"Leibniz Information Centre for Economics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdW9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--80ab17f7ae7c2cf1bf30850174e3156e154f81f3/logo-dara-blue.png?disposition=inline","exhaustive_licences":false}},{"id":"2561","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T12:30:15.000Z","updated_at":"2022-07-20T12:21:54.014Z","metadata":{"doi":"10.25504/FAIRsharing.at6rsf","name":"Image Attribution Framework Development Repository","status":"deprecated","contacts":[{"contact_name":"Christian Haselgrove","contact_email":"iaf@virtualbrain.org","contact_orcid":"0000-0002-4438-0637"}],"homepage":"http://iaf.virtualbrain.org/","identifier":2561,"description":"The Image Attribution Framework Development Repository is a system for neuroimaging data citation and credit with a practical implementation that meets the objectives of unique identification, data use tracking, and integration with traditional credit attribution systems. This reference implementation was created which mirrors the structure of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) neuroimaging data repository using the XNAT platform. DOIs can be assigned upon dataset upload, meaning that project-level identifiers as well as per-image DOIs are created. Note that this reference implementation is for illustration purposes. It is expected that ultimate success of this concept will be through the implementation of these recommendations within existing data hosts, and not through this reference implementation itself.","abbreviation":"IAF","data_curation":{"type":"not found"},"support_links":[{"url":"http://github.com/chaselgrove/doi","name":"GitHub Repository","type":"Github"}],"year_creation":2016,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by NITRC-IR.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001044","bsg-d001044"],"name":"FAIRsharing record for: Image Attribution Framework Development Repository","abbreviation":"IAF","url":"https://fairsharing.org/10.25504/FAIRsharing.at6rsf","doi":"10.25504/FAIRsharing.at6rsf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Image Attribution Framework Development Repository is a system for neuroimaging data citation and credit with a practical implementation that meets the objectives of unique identification, data use tracking, and integration with traditional credit attribution systems. This reference implementation was created which mirrors the structure of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) neuroimaging data repository using the XNAT platform. DOIs can be assigned upon dataset upload, meaning that project-level identifiers as well as per-image DOIs are created. Note that this reference implementation is for illustration purposes. It is expected that ultimate success of this concept will be through the implementation of these recommendations within existing data hosts, and not through this reference implementation itself.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Magnetic resonance imaging","Centrally registered identifier","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2068,"pubmed_id":27570508,"title":"Data Citation in Neuroimaging: Proposed Best Practices for Data Identification and Attribution.","year":2016,"url":"http://doi.org/10.3389/fninf.2016.00034","authors":"Honor LB,Haselgrove C,Frazier JA,Kennedy DN","journal":"Front Neuroinform","doi":"10.3389/fninf.2016.00034","created_at":"2021-09-30T08:26:13.081Z","updated_at":"2021-09-30T08:26:13.081Z"}],"licence_links":[],"grants":[{"id":2890,"fairsharing_record_id":2561,"organisation_id":3089,"relation":"maintains","created_at":"2021-09-30T09:25:59.998Z","updated_at":"2021-09-30T09:25:59.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":3089,"name":"University of Massachusetts Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2891,"fairsharing_record_id":2561,"organisation_id":2752,"relation":"maintains","created_at":"2021-09-30T09:26:00.029Z","updated_at":"2021-09-30T09:26:00.029Z","grant_id":null,"is_lead":false,"saved_state":{"id":2752,"name":"The Child and Adolescent NeuroDevelopment Initiative (CANDI), Department of Psychiatry, University of Massachusetts Medical School, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2893,"fairsharing_record_id":2561,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:00.106Z","updated_at":"2021-09-30T09:26:00.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2892,"fairsharing_record_id":2561,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:26:00.080Z","updated_at":"2021-09-30T09:30:18.146Z","grant_id":645,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"R01 MH083320","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2889,"fairsharing_record_id":2561,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:59.974Z","updated_at":"2021-09-30T09:30:54.457Z","grant_id":929,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41 EB019936","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2626","type":"fairsharing_records","attributes":{"created_at":"2018-07-31T13:19:25.000Z","updated_at":"2023-12-15T10:30:54.942Z","metadata":{"doi":"10.25504/FAIRsharing.fc7b9f","name":"Vertebrate Secretome Database","status":"ready","contacts":[{"contact_name":"José L. Lavín","contact_email":"jllavin@cicbiogune.es","contact_orcid":"0000-0003-0914-3211"}],"homepage":"http://genomics.cicbiogune.es/VerSeDa/index.php","identifier":2626,"description":"Vertebrate Secretome Database (VerSeDa) stores information about proteins that are predicted to be secreted through the classical and non-classical mechanisms, for the wide range of vertebrate species deposited at the NCBI, UCSC and ENSEMBL sites.","abbreviation":"VerSeDa","data_curation":{"type":"not found"},"support_links":[{"url":"http://genomics.cicbiogune.es/VerSeDa/ContactUs.php","type":"Contact form"},{"url":"gap@cicbiogune.es","type":"Support email"},{"url":"http://genomics.cicbiogune.es/VerSeDa/Help.php","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"http://genomics.cicbiogune.es/VerSeDa/SubmitInfo.php","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001115","bsg-d001115"],"name":"FAIRsharing record for: Vertebrate Secretome Database","abbreviation":"VerSeDa","url":"https://fairsharing.org/10.25504/FAIRsharing.fc7b9f","doi":"10.25504/FAIRsharing.fc7b9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Vertebrate Secretome Database (VerSeDa) stores information about proteins that are predicted to be secreted through the classical and non-classical mechanisms, for the wide range of vertebrate species deposited at the NCBI, UCSC and ENSEMBL sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Protein secretion","Protein","Amino acid sequence"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":224,"pubmed_id":28365718,"title":"VerSeDa: vertebrate secretome database.","year":2017,"url":"http://doi.org/10.1093/database/baw171","authors":"Cortazar AR,Oguiza JA,Aransay AM,Lavin JL","journal":"Database (Oxford)","doi":"10.1093/database/baw171","created_at":"2021-09-30T08:22:44.247Z","updated_at":"2021-09-30T08:22:44.247Z"}],"licence_links":[],"grants":[{"id":3046,"fairsharing_record_id":2626,"organisation_id":3103,"relation":"maintains","created_at":"2021-09-30T09:26:05.024Z","updated_at":"2021-09-30T09:26:05.024Z","grant_id":null,"is_lead":false,"saved_state":{"id":3103,"name":"University of Navarre, Spain","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3043,"fairsharing_record_id":2626,"organisation_id":1356,"relation":"maintains","created_at":"2021-09-30T09:26:04.906Z","updated_at":"2021-09-30T09:26:04.906Z","grant_id":null,"is_lead":false,"saved_state":{"id":1356,"name":"Innovation Technology Department of Bizkaia, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3045,"fairsharing_record_id":2626,"organisation_id":518,"relation":"maintains","created_at":"2021-09-30T09:26:04.987Z","updated_at":"2021-09-30T09:26:04.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":518,"name":"CIC bioGUNE, Derio, Spain.","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3047,"fairsharing_record_id":2626,"organisation_id":1197,"relation":"funds","created_at":"2021-09-30T09:26:05.066Z","updated_at":"2021-09-30T09:26:05.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":1197,"name":"Government of the Basque Country, Spain","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9271,"fairsharing_record_id":2626,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:26.813Z","updated_at":"2022-04-11T12:07:26.830Z","grant_id":1054,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"AGL2014-55971-R","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2627","type":"fairsharing_records","attributes":{"created_at":"2018-07-31T14:11:34.000Z","updated_at":"2023-06-23T15:05:32.319Z","metadata":{"doi":"10.25504/FAIRsharing.1de585","name":"Gene Transcription Regulation Database","status":"ready","contacts":[{"contact_name":"Fedor Kolpakov","contact_email":"fedor@biouml.org","contact_orcid":"0000-0002-0396-0256"}],"homepage":"http://gtrd.biouml.org/","citations":[{"doi":"10.1093/nar/gkw951","pubmed_id":27924024,"publication_id":240}],"identifier":2627,"description":"Gene Transcription Regulation Database (GTRD) is a database of transcription factor binding sites (TFBSs) identified by ChIP-seq experiments for human and mouse.","abbreviation":"GTRD","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://wiki.biouml.org/index.php/GTRD","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","data_access_condition":{"url":"http://gtrd20-06.biouml.org/bioumlweb/#","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://wiki.biouml.org/index.php/GTRD_Workflow","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001116","bsg-d001116"],"name":"FAIRsharing record for: Gene Transcription Regulation Database","abbreviation":"GTRD","url":"https://fairsharing.org/10.25504/FAIRsharing.1de585","doi":"10.25504/FAIRsharing.1de585","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Transcription Regulation Database (GTRD) is a database of transcription factor binding sites (TFBSs) identified by ChIP-seq experiments for human and mouse.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Transcription factor binding site prediction","Transcription factor","Chromatin immunoprecipitation - DNA sequencing","Binding site","Transcript","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Russia"],"publications":[{"id":240,"pubmed_id":27924024,"title":"GTRD: a database of transcription factor binding sites identified by ChIP-seq experiments.","year":2016,"url":"http://doi.org/10.1093/nar/gkw951","authors":"Yevshin I,Sharipov R,Valeev T,Kel A,Kolpakov F","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw951","created_at":"2021-09-30T08:22:45.933Z","updated_at":"2021-09-30T11:28:44.319Z"},{"id":2673,"pubmed_id":30445619,"title":"GTRD: a database on gene transcription regulation-2019 update.","year":2018,"url":"http://doi.org/10.1093/nar/gky1128","authors":"Yevshin I,Sharipov R,Kolmykov S,Kondrakhin Y,Kolpakov F","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1128","created_at":"2021-09-30T08:27:28.169Z","updated_at":"2021-09-30T11:29:41.095Z"}],"licence_links":[{"licence_name":"GTRD Free for non-commercial use","licence_id":368,"licence_url":"http://gtrd.biouml.org/","link_id":2413,"relation":"undefined"}],"grants":[{"id":3048,"fairsharing_record_id":2627,"organisation_id":2576,"relation":"funds","created_at":"2021-09-30T09:26:05.115Z","updated_at":"2021-09-30T09:26:05.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":2576,"name":"Skolkovo Foundation, Moscow, Russia","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3049,"fairsharing_record_id":2627,"organisation_id":2422,"relation":"funds","created_at":"2021-09-30T09:26:05.145Z","updated_at":"2021-09-30T09:30:46.123Z","grant_id":860,"is_lead":false,"saved_state":{"id":2422,"name":"Research and development on priority directions of science and technology in Russia, 20142020","grant":"RFMEFI60414X0101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9324,"fairsharing_record_id":2627,"organisation_id":2474,"relation":"funds","created_at":"2022-04-11T12:07:30.466Z","updated_at":"2022-04-11T12:07:30.483Z","grant_id":1324,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"17-00-00296","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2629","type":"fairsharing_records","attributes":{"created_at":"2018-08-01T13:08:26.000Z","updated_at":"2024-05-06T12:15:07.405Z","metadata":{"doi":"10.25504/FAIRsharing.2GMztk","name":"ORTHOlogous MAmmalian Markers","status":"deprecated","contacts":[{"contact_name":"Emmanuel Douzery","contact_email":"emmanuel.douzery@univ-montp2.fr","contact_orcid":"0000-0001-5286-647X"}],"homepage":"http://www.orthomam.univ-montp2.fr/orthomam/html/","citations":[],"identifier":2629,"description":"ORTHOlogous MAmmalian Markers database (OrthoMaM) describes the evolutionary dynamics of orthologous genes in mammalian genomes using a phylogenetic framework.","abbreviation":"OrthoMaM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.orthomam.univ-montp2.fr/orthomam/html/index.php?article=help","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001118","bsg-d001118"],"name":"FAIRsharing record for: ORTHOlogous MAmmalian Markers","abbreviation":"OrthoMaM","url":"https://fairsharing.org/10.25504/FAIRsharing.2GMztk","doi":"10.25504/FAIRsharing.2GMztk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ORTHOlogous MAmmalian Markers database (OrthoMaM) describes the evolutionary dynamics of orthologous genes in mammalian genomes using a phylogenetic framework.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenetics","Life Science"],"domains":["Orthologous","Genome"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":204,"pubmed_id":24723423,"title":"OrthoMaM v8: a database of orthologous exons and coding sequences for comparative genomics in mammals.","year":2014,"url":"http://doi.org/10.1093/molbev/msu132","authors":"Douzery EJ,Scornavacca C,Romiguier J,Belkhir K,Galtier N,Delsuc F,Ranwez V","journal":"Mol Biol Evol","doi":"10.1093/molbev/msu132","created_at":"2021-09-30T08:22:42.256Z","updated_at":"2021-09-30T08:22:42.256Z"},{"id":209,"pubmed_id":18053139,"title":"OrthoMaM: a database of orthologous genomic markers for placental mammal phylogenetics.","year":2007,"url":"http://doi.org/10.1186/1471-2148-7-241","authors":"Ranwez V,Delsuc F,Ranwez S,Belkhir K,Tilak MK,Douzery EJ","journal":"BMC Evol Biol","doi":"10.1186/1471-2148-7-241","created_at":"2021-09-30T08:22:42.740Z","updated_at":"2021-09-30T08:22:42.740Z"}],"licence_links":[],"grants":[{"id":3053,"fairsharing_record_id":2629,"organisation_id":34,"relation":"funds","created_at":"2021-09-30T09:26:05.270Z","updated_at":"2021-09-30T09:26:05.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":34,"name":"Agence Nationale de la Recherche Investissements davenir / Bioinformatique","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3054,"fairsharing_record_id":2629,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:05.303Z","updated_at":"2021-09-30T09:26:05.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2594","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T13:31:08.000Z","updated_at":"2024-03-20T13:28:34.795Z","metadata":{"doi":"10.25504/FAIRsharing.lCVfCv","name":"TreeGenes","status":"ready","contacts":[{"contact_name":"TreeGenes Helpdesk","contact_email":"treegenesdb@gmail.com"}],"homepage":"https://treegenesdb.org/","citations":[],"identifier":2594,"description":"TreeGenes is focused on connecting genomic, phenotypic, and environmental data for forest tree populations across the world. The database provides a custom informatics tools to manage the flood of information resulting from high-throughput genomics projects in forest trees from sample collection to downstream analysis. This resource is enhanced with systems that are well connected with federated databases, automated data flows, machine learning analysis, standardized annotations and quality control processes. The TreeGenes database contains several curated modules that support the storage of data and provide the foundation for web-based searches and visualization tools.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/TreeGenes","name":"@TreeGenes","type":"Twitter"}],"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012352","name":"re3data:r3d100012352","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://treegenesdb.org/tpps","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001077","bsg-d001077"],"name":"FAIRsharing record for: TreeGenes","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.lCVfCv","doi":"10.25504/FAIRsharing.lCVfCv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TreeGenes is focused on connecting genomic, phenotypic, and environmental data for forest tree populations across the world. The database provides a custom informatics tools to manage the flood of information resulting from high-throughput genomics projects in forest trees from sample collection to downstream analysis. This resource is enhanced with systems that are well connected with federated databases, automated data flows, machine learning analysis, standardized annotations and quality control processes. The TreeGenes database contains several curated modules that support the storage of data and provide the foundation for web-based searches and visualization tools.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11641}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Botany","Genomics","Life Science","Data Visualization"],"domains":[],"taxonomies":["Acacieae","Anacardiaceae","Apocynaceae","Araucariaceae","Betulaceae","Cassieae","Cephalotaxaceae","Cupressaceae","Dalbergieae","Detarieae","Dipterocarpaceae","Ericaceae","Euphorbiaceae","Eupteleaceae","Fabaceae","Fagaceae","Gnetaceae","Ixoreae","Jatropheae","Juglandacea","Juglandaceae","Lamiaceae","Lauraceae","Leguminosae","Meliaceae","Myristicaceae","Myrtaceae","Oleaceae","Parasitaxus","Pinaceae","Podocarpaceae","Rosaceae","Salicaceae","Sapotaceae","Sciadopityaceae","Tamaricaceae","Taxaceae","Vitaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":579,"pubmed_id":18725987,"title":"TreeGenes: A forest tree genome database.","year":2008,"url":"http://doi.org/10.1155/2008/412875","authors":"Wegrzyn JL,Lee JM,Tearse BR,Neale DB","journal":"Int J Plant Genomics","doi":"10.1155/2008/412875","created_at":"2021-09-30T08:23:23.351Z","updated_at":"2021-09-30T08:23:23.351Z"},{"id":4199,"pubmed_id":null,"title":"Cyberinfrastructure to Improve Forest Health and Productivity: The Role of Tree Databases in Connecting Genomes, Phenomes, and the Environment","year":2019,"url":"http://dx.doi.org/10.3389/fpls.2019.00813","authors":"Wegrzyn, Jill L.; Staton, Margaret A.; Street, Nathaniel R.; Main, Dorrie; Grau, Emily; Herndon, Nic; Buehler, Sean; Falk, Taylor; Zaman, Sumaira; Ramnath, Risharde; Richter, Peter; Sun, Lang; Condon, Bradford; Almsaeed, Abdullah; Chen, Ming; Mannapperuma, Chanaka; Jung, Sook; Ficklin, Stephen; ","journal":"Front. Plant Sci.","doi":"10.3389/fpls.2019.00813","created_at":"2024-03-20T13:08:58.881Z","updated_at":"2024-03-20T13:08:58.881Z"},{"id":4200,"pubmed_id":null,"title":"Growing and cultivating the forest genomics database, TreeGenes","year":2018,"url":"http://dx.doi.org/10.1093/database/bay084","authors":"Falk, Taylor; Herndon, Nic; Grau, Emily; Buehler, Sean; Richter, Peter; Zaman, Sumaira; Baker, Eliza M; Ramnath, Risharde; Ficklin, Stephen; Staton, Margaret; Feltus, Frank A; Jung, Sook; Main, Doreen; Wegrzyn, Jill L; ","journal":"Database","doi":"10.1093/database/bay084","created_at":"2024-03-20T13:09:15.650Z","updated_at":"2024-03-20T13:09:15.650Z"},{"id":4201,"pubmed_id":null,"title":"Uniform standards for genome databases in forest and fruit trees","year":2012,"url":"http://dx.doi.org/10.1007/s11295-012-0494-7","authors":"Wegrzyn, J. L.; Main, D.; Figueroa, B.; Choi, M.; Yu, J.; Neale, D. B.; Jung, S.; Lee, T.; Stanton, M.; Zheng, P.; Ficklin, S.; Cho, I.; Peace, C.; Evans, K.; Volk, G.; Oraguzie, N.; Chen, C.; Olmstead, M.; Gmitter, G.; Abbott, A. G.; ","journal":"Tree Genetics \u0026amp; Genomes","doi":"10.1007/s11295-012-0494-7","created_at":"2024-03-20T13:09:31.782Z","updated_at":"2024-03-20T13:09:31.782Z"}],"licence_links":[],"grants":[{"id":2964,"fairsharing_record_id":2594,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:02.174Z","updated_at":"2021-09-30T09:30:23.315Z","grant_id":689,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF 1443040","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2965,"fairsharing_record_id":2594,"organisation_id":2330,"relation":"maintains","created_at":"2021-09-30T09:26:02.199Z","updated_at":"2021-09-30T09:26:02.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":2330,"name":"Plant Computational Genomics Lab, University of Conneticut, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2963,"fairsharing_record_id":2594,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:02.149Z","updated_at":"2021-09-30T09:29:29.493Z","grant_id":269,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","grant":"2016-67013-24469","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8137,"fairsharing_record_id":2594,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:09.614Z","updated_at":"2021-09-30T09:31:09.672Z","grant_id":1045,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF 1444573","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8884,"fairsharing_record_id":2594,"organisation_id":3345,"relation":"maintains","created_at":"2022-02-16T18:43:44.069Z","updated_at":"2022-02-16T18:43:44.069Z","grant_id":null,"is_lead":true,"saved_state":{"id":3345,"name":"University of Minho","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdjBEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--67128ea7f665b65384f2d9db656ef65385ec9220/thicker%20text.png?disposition=inline","exhaustive_licences":false}},{"id":"2595","type":"fairsharing_records","attributes":{"created_at":"2018-04-10T09:13:18.000Z","updated_at":"2023-12-15T10:32:30.962Z","metadata":{"doi":"10.25504/FAIRsharing.BrubDI","name":"Mechanism and Catalytic Site Atlas","status":"ready","contacts":[{"contact_name":"António Ribeiro","contact_email":"ribeiro@ebi.ac.uk","contact_orcid":"0000-0002-2533-1231"}],"homepage":"https://www.ebi.ac.uk/thornton-srv/m-csa/","citations":[{"doi":"10.1093/nar/gkx1012","pubmed_id":29106569,"publication_id":2221}],"identifier":2595,"description":"M-CSA is a database of enzyme reaction mechanisms. It provides annotation on the protein, catalytic residues, cofactors, and the reaction mechanisms of hundreds of enzymes. There are two kinds of entries in M-CSA: 'Detailed mechanism' entries are more complete and show the individual chemical steps of the mechanism as schemes with electron flow arrows; and 'Catalytic Site' entries annotate the catalytic residues necessary for the reaction, but do not show the mechanism.","abbreviation":"M-CSA","data_curation":{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/documentation/","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/documentation/","name":"M-CSA Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/about/","name":"About M-CSA","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/stats/","name":"M-CSA Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010815","name":"re3data:r3d100010815","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013099","name":"SciCrunch:RRID:SCR_013099","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001078","bsg-d001078"],"name":"FAIRsharing record for: Mechanism and Catalytic Site Atlas","abbreviation":"M-CSA","url":"https://fairsharing.org/10.25504/FAIRsharing.BrubDI","doi":"10.25504/FAIRsharing.BrubDI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: M-CSA is a database of enzyme reaction mechanisms. It provides annotation on the protein, catalytic residues, cofactors, and the reaction mechanisms of hundreds of enzymes. There are two kinds of entries in M-CSA: 'Detailed mechanism' entries are more complete and show the individual chemical steps of the mechanism as schemes with electron flow arrows; and 'Catalytic Site' entries annotate the catalytic residues necessary for the reaction, but do not show the mechanism.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Enzymology","Biology"],"domains":["Annotation","Catalytic activity","Enzymatic reaction","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2221,"pubmed_id":29106569,"title":"Mechanism and Catalytic Site Atlas (M-CSA): a database of enzyme reaction mechanisms and active sites.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1012","authors":"Ribeiro AJM,Holliday GL,Furnham N,Tyzack JD,Ferris K,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1012","created_at":"2021-09-30T08:26:30.296Z","updated_at":"2021-09-30T11:29:31.136Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":1104,"relation":"undefined"}],"grants":[{"id":2967,"fairsharing_record_id":2595,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:02.249Z","updated_at":"2021-09-30T09:26:02.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2966,"fairsharing_record_id":2595,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:02.225Z","updated_at":"2021-09-30T09:26:02.225Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2968,"fairsharing_record_id":2595,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:26:02.274Z","updated_at":"2021-09-30T09:26:02.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2619","type":"fairsharing_records","attributes":{"created_at":"2018-07-19T14:02:06.000Z","updated_at":"2023-12-15T10:33:01.593Z","metadata":{"doi":"10.25504/FAIRsharing.394bd6","name":"NASA Ames PAH IR Spectroscopic Database","status":"ready","contacts":[{"contact_name":"Charles W. Bauschlicher Jr.","contact_email":"Charles.W.Bauschlicher@nasa.gov"}],"homepage":"https://www.astrochemistry.org/pahdb/","citations":[],"identifier":2619,"description":"Collaboration between the astronomers, laboratory chemists and theoretical chemists at the facilities of NASA's Ames Research Center resulted in the collection of PAH spectra known as The NASA Ames PAH IR Spectroscopic Database. Collaboration with different institutes, across several countries, helped mature the database and allowed for the construction of the web-portal with its data and tools. Initially intended for astronomers to explain the astronomical unidentified infrared bands and to investigate the \"PAH hypothesis\", now the spectral data and developed paradigms prove also valuable to, e.g., chemists, environmentalists, pharmacologists and nano-technologists.","abbreviation":"PAHdb","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.facebook.com/NASA-Ames-Astrophysics-Astrochemistry-Laboratory-165023493513003/","name":"Facebook","type":"Facebook"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/video","name":"Video Tutorial","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/view","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/technologies","name":"Technologies","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/pressreleases","name":"Press Releases","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/tour","name":"Tour","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/about","name":"About the NASA Ames PAH IR Spectroscopic Database","type":"Help documentation"},{"url":"https://twitter.com/AmesLabAstro","name":"@AmesLabAstro","type":"Twitter"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://www.astrochemistry.org/pahdb/theoretical/3.00/tools/view","name":"Database Tools (all)"},{"url":"http://www.astrochemistry.org/pahdb/theoretical/3.00/help/amespahdbidlsuite","name":"AmesPAHdbIDLSuite"}],"data_access_condition":{"type":"partially open","notes":"A valid e-mail address must be sent in order to track the users of the data."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001106","bsg-d001106"],"name":"FAIRsharing record for: NASA Ames PAH IR Spectroscopic Database","abbreviation":"PAHdb","url":"https://fairsharing.org/10.25504/FAIRsharing.394bd6","doi":"10.25504/FAIRsharing.394bd6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Collaboration between the astronomers, laboratory chemists and theoretical chemists at the facilities of NASA's Ames Research Center resulted in the collection of PAH spectra known as The NASA Ames PAH IR Spectroscopic Database. Collaboration with different institutes, across several countries, helped mature the database and allowed for the construction of the web-portal with its data and tools. Initially intended for astronomers to explain the astronomical unidentified infrared bands and to investigate the \"PAH hypothesis\", now the spectral data and developed paradigms prove also valuable to, e.g., chemists, environmentalists, pharmacologists and nano-technologists.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11797}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Nanotechnology","Chemistry","Astrophysics and Astronomy","Pharmacology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2403,"pubmed_id":null,"title":"The NASA Ames PAH IR Spectroscopic Database Version 2.00: Updated Content, Web Site, and On(Off)line Tools","year":2014,"url":"http://doi.org/10.1088/0067-0049/211/1/8","authors":"C. Boersma, C. W. Bauschlicher Jr., A. Ricca, A. L. Mattioda, J. Cami, E. Peeters, F. Sánchez de Armas, G. Puerta Saborido, D. M. Hudgins, and L. J. Allamandola","journal":"The Astrophysical Journal Supplement Series","doi":"10.1088/0067-0049/211/1/8","created_at":"2021-09-30T08:26:54.969Z","updated_at":"2021-09-30T08:26:54.969Z"},{"id":2412,"pubmed_id":null,"title":"The NASA Ames PAH IR Spectroscopic Database: Computational Version 3.00 with Updated Content and the Introduction of Multiple Scaling Factors","year":2018,"url":"http://doi.org/10.3847/1538-4365/aaa019","authors":"Charles W. Bauschlicher Jr., A. Ricca, C. Boersma, and L. J. Allamandola","journal":"The Astrophysical Journal Supplement Series","doi":"10.3847/1538-4365/aaa019","created_at":"2021-09-30T08:26:56.051Z","updated_at":"2021-09-30T08:26:56.051Z"}],"licence_links":[{"licence_name":"The Astrophysics \u0026 Astrochemistry Laboratory's Terms of Service","licence_id":782,"licence_url":"http://www.astrochemistry.org/pahdb/theoretical/3.00/help/terms","link_id":1679,"relation":"undefined"}],"grants":[{"id":3019,"fairsharing_record_id":2619,"organisation_id":2744,"relation":"maintains","created_at":"2021-09-30T09:26:04.094Z","updated_at":"2021-09-30T09:26:04.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":2744,"name":"The Astrophysics \u0026 Astrochemistry Laboratory, Ames Research Center, Mountain View, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2621","type":"fairsharing_records","attributes":{"created_at":"2018-07-19T20:31:02.000Z","updated_at":"2023-12-15T10:30:22.808Z","metadata":{"doi":"10.25504/FAIRsharing.401958","name":"NIST Atomic Spectra Database","status":"ready","contacts":[{"contact_name":"Yuri Ralchenko","contact_email":"yuri.ralchenko@nist.gov","contact_orcid":"0000-0003-0083-9554"}],"homepage":"https://www.nist.gov/pml/atomic-spectra-database","citations":[],"identifier":2621,"description":"The Atomic Spectra Database (ASD) contains data for radiative transitions and energy levels in atoms and atomic ions. Data are included for observed transitions and energy levels of most of the known chemical elements. ASD contains data on spectral lines with wavelengths from about 20 pm (picometers) to 60 m (meters). For many lines, ASD includes radiative transition probabilities. The energy level data include the ground states and ionization energies for all spectra. For most spectra, wavelengths, transition-probabilities, relative intensities, and energy levels are integrated, so that all the available information for a given transition is incorporated under a single listing. For classified lines, in addition to the observed wavelength, ASD includes the Ritz wavelength, which is the wavelength derived from the energy levels.","abbreviation":"ASD","data_curation":{"type":"none"},"support_links":[{"url":"https://www.nist.gov/srd/standard-reference-data-contact-form?id=78","name":"Contact Form","type":"Contact form"},{"url":"https://www.nist.gov/about-nist/contact-us","name":"Contact Us","type":"Contact form"},{"url":"http://physics.nist.gov/PhysRefData/ASD/Html/help.html","name":"Help Pages","type":"Help documentation"},{"url":"https://www.nist.gov/pml/atomic-spectra-database-contents","name":"ASD Documentation","type":"Help documentation"},{"url":"https://www.nist.gov/pml/atomic-spectroscopy-compendium-basic-ideas-notation-data-and-formulas","name":"Atomic Spectroscopy Introduction","type":"Help documentation"},{"url":"https://physics.nist.gov/PhysRefData/ASD/Html/verhist.shtml","name":"Version History","type":"Help documentation"}],"year_creation":1979,"data_versioning":"yes","associated_tools":[{"url":"https://physics.nist.gov/PhysRefData/ASD/LIBS/libs-form.html","name":"ASD Interface for Laser Induced Breakdown Spectroscopy (LIBS)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011296","name":"re3data:r3d100011296","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001108","bsg-d001108"],"name":"FAIRsharing record for: NIST Atomic Spectra Database","abbreviation":"ASD","url":"https://fairsharing.org/10.25504/FAIRsharing.401958","doi":"10.25504/FAIRsharing.401958","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Atomic Spectra Database (ASD) contains data for radiative transitions and energy levels in atoms and atomic ions. Data are included for observed transitions and energy levels of most of the known chemical elements. ASD contains data on spectral lines with wavelengths from about 20 pm (picometers) to 60 m (meters). For many lines, ASD includes radiative transition probabilities. The energy level data include the ground states and ionization energies for all spectra. For most spectra, wavelengths, transition-probabilities, relative intensities, and energy levels are integrated, so that all the available information for a given transition is incorporated under a single listing. For classified lines, in addition to the observed wavelength, ASD includes the Ritz wavelength, which is the wavelength derived from the energy levels.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11798}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry"],"domains":["Radiation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NIST Database Disclaimer","licence_id":588,"licence_url":"https://www.nist.gov/pml/database-disclaimer","link_id":1680,"relation":"undefined"}],"grants":[{"id":3022,"fairsharing_record_id":2621,"organisation_id":2169,"relation":"funds","created_at":"2021-09-30T09:26:04.174Z","updated_at":"2021-09-30T09:26:04.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":2169,"name":"NIST Standard Reference Data Program (SRDP), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3021,"fairsharing_record_id":2621,"organisation_id":2228,"relation":"funds","created_at":"2021-09-30T09:26:04.143Z","updated_at":"2021-09-30T09:26:04.143Z","grant_id":null,"is_lead":false,"saved_state":{"id":2228,"name":"Office of Fusion Energy Sciences of the U.S. Department of Energy, Washington D.C., USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3023,"fairsharing_record_id":2621,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:26:04.213Z","updated_at":"2021-09-30T09:26:04.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3024,"fairsharing_record_id":2621,"organisation_id":2025,"relation":"maintains","created_at":"2021-09-30T09:26:04.245Z","updated_at":"2021-09-30T09:26:04.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":2025,"name":"National Institute of Standards and Technology (NIST), Gaithersburg MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2622","type":"fairsharing_records","attributes":{"created_at":"2018-07-19T20:45:27.000Z","updated_at":"2023-06-22T17:17:48.452Z","metadata":{"doi":"10.25504/FAIRsharing.3c1056","name":"Kinetic Database for Astrochemistry","status":"ready","contacts":[{"contact_name":"Valentine Wakelam","contact_email":"valentine.wakelam@u-bordeaux.fr","contact_orcid":"0000-0001-9676-2605"}],"homepage":"https://kida.astrochem-tools.org/","citations":[],"identifier":2622,"description":"KIDA (KInetic Database for Astrochemistry) is a database of kinetic data of interest for astrochemical (interstellar medium and planetary atmospheres) studies. KIDA is a project initiated by different communities in order to 1) improve the interaction between astrochemists and physico-chemists and 2) simplify the work of modeling the chemistry of astrophysical environments. Here astrophysical environments stand for the interstellar medium and planetary atmospheres. Both types of environments use similar chemical networks and the physico-chemists who work on the determination of reaction rate coefficients for both types of environment are the same.","abbreviation":"KIDA","data_curation":{"type":"manual"},"support_links":[{"url":"kida-obs@u-bordeaux.fr","name":"General contact","type":"Support email"},{"url":"https://kida.astrochem-tools.org/help.html","name":"KIDA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://kida.astrochem-tools.org/contact.html","name":"Contact","type":"Other"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://kida.astrochem-tools.org/help.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001109","bsg-d001109"],"name":"FAIRsharing record for: Kinetic Database for Astrochemistry","abbreviation":"KIDA","url":"https://fairsharing.org/10.25504/FAIRsharing.3c1056","doi":"10.25504/FAIRsharing.3c1056","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KIDA (KInetic Database for Astrochemistry) is a database of kinetic data of interest for astrochemical (interstellar medium and planetary atmospheres) studies. KIDA is a project initiated by different communities in order to 1) improve the interaction between astrochemists and physico-chemists and 2) simplify the work of modeling the chemistry of astrophysical environments. Here astrophysical environments stand for the interstellar medium and planetary atmospheres. Both types of environments use similar chemical networks and the physico-chemists who work on the determination of reaction rate coefficients for both types of environment are the same.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11799}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Astrophysics and Astronomy","Atmospheric Science"],"domains":["Kinetic model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2404,"pubmed_id":null,"title":"A KInetic Database for Astrochemistry (KIDA)","year":2012,"url":"http://doi.org/10.1088/0067-0049/199/1/21","authors":"V. Wakelam, E. Herbst, J.-C. Loison, I. W. M. Smith, V. Chandrasekaran, B. Pavone, N. G. Adams, M.-C. Bacchus-Montabonel, A. Bergeat, K. Béroff, V. M. Bierbaum, M. Chabot, A. Dalgarno, E. F. van Dishoeck, A. Faure, W. D. Geppert, D. Gerlich, D. Galli, E. Hébrard, F. Hersant, K. M. Hickson, P. Honvault, S. J. Klippenstein, S. Le Picard, G. Nyman, P. Pernot, S. Schlemmer, F. Selsis, I. R. Sims, D. Talbi, J. Tennyson, J. Troe, R. Wester, L. Wiesenfeld","journal":"arXiv","doi":"10.1088/0067-0049/199/1/21","created_at":"2021-09-30T08:26:55.083Z","updated_at":"2021-09-30T11:29:51.743Z"}],"licence_links":[],"grants":[{"id":3025,"fairsharing_record_id":2622,"organisation_id":2983,"relation":"maintains","created_at":"2021-09-30T09:26:04.282Z","updated_at":"2021-09-30T09:26:04.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":2983,"name":"Universite de bordeaux, Bordeaux, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3027,"fairsharing_record_id":2622,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:26:04.353Z","updated_at":"2021-09-30T09:26:04.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3031,"fairsharing_record_id":2622,"organisation_id":3147,"relation":"maintains","created_at":"2021-09-30T09:26:04.474Z","updated_at":"2021-09-30T09:26:04.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":3147,"name":"University of Virginia, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3033,"fairsharing_record_id":2622,"organisation_id":3177,"relation":"funds","created_at":"2021-09-30T09:26:04.557Z","updated_at":"2021-09-30T09:26:04.557Z","grant_id":null,"is_lead":false,"saved_state":{"id":3177,"name":"VAMDC Consortium","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3036,"fairsharing_record_id":2622,"organisation_id":128,"relation":"funds","created_at":"2021-09-30T09:26:04.675Z","updated_at":"2021-09-30T09:26:04.675Z","grant_id":null,"is_lead":false,"saved_state":{"id":128,"name":"Astronet","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3026,"fairsharing_record_id":2622,"organisation_id":1522,"relation":"funds","created_at":"2021-09-30T09:26:04.321Z","updated_at":"2021-09-30T09:26:04.321Z","grant_id":null,"is_lead":false,"saved_state":{"id":1522,"name":"International Space Science Institute, Switzerland","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3028,"fairsharing_record_id":2622,"organisation_id":967,"relation":"funds","created_at":"2021-09-30T09:26:04.389Z","updated_at":"2021-09-30T09:26:04.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":967,"name":"Europlanet Society","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3029,"fairsharing_record_id":2622,"organisation_id":1663,"relation":"maintains","created_at":"2021-09-30T09:26:04.419Z","updated_at":"2021-09-30T09:26:04.419Z","grant_id":null,"is_lead":false,"saved_state":{"id":1663,"name":"Laboratoire d'Astrophysique de Bordeaux","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3030,"fairsharing_record_id":2622,"organisation_id":2214,"relation":"maintains","created_at":"2021-09-30T09:26:04.443Z","updated_at":"2021-09-30T09:26:04.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2214,"name":"Observatoire Aquitain des Sciences de l'Univers, Pessac, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3032,"fairsharing_record_id":2622,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:04.515Z","updated_at":"2021-09-30T09:26:04.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3034,"fairsharing_record_id":2622,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:04.595Z","updated_at":"2021-09-30T09:26:04.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3035,"fairsharing_record_id":2622,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:26:04.632Z","updated_at":"2021-09-30T09:26:04.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2623","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T15:26:20.000Z","updated_at":"2022-07-20T11:39:49.883Z","metadata":{"name":"Longhorn Array Database","status":"deprecated","contacts":[{"contact_name":"Yan Song","contact_email":"yan.song@okstate.edu"}],"homepage":"http://darwin.biochem.okstate.edu/lad/ilat/","identifier":2623,"description":"The Longhorn Array Database (LAD) is a MIAME‐compliant microarray database that operates on PostgreSQL and Linux. It is a free, completely open‐source, and provides a systematic and proven environment in which vast experiment sets can be safely archived, securely accessed, biologically annotated, quantitatively analyzed, and visually explored. This unit provides the complete set of information needed to successfully deploy, configure, and use LAD for the purposes of two‐color DNA microarray analysis and visualization.","abbreviation":"LAD","data_curation":{"type":"not found"},"support_links":[{"url":"http://darwin.biochem.okstate.edu/lad/ilat/help.shtml","name":"Online Help","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001110","bsg-d001110"],"name":"FAIRsharing record for: Longhorn Array Database","abbreviation":"LAD","url":"https://fairsharing.org/fairsharing_records/2623","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Longhorn Array Database (LAD) is a MIAME‐compliant microarray database that operates on PostgreSQL and Linux. It is a free, completely open‐source, and provides a systematic and proven environment in which vast experiment sets can be safely archived, securely accessed, biologically annotated, quantitatively analyzed, and visually explored. This unit provides the complete set of information needed to successfully deploy, configure, and use LAD for the purposes of two‐color DNA microarray analysis and visualization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Microarray experiment","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2222,"pubmed_id":18428730,"title":"Microarray data visualization and analysis with the Longhorn Array Database (LAD).","year":2008,"url":"http://doi.org/10.1002/0471250953.bi0710s08","authors":"Killion PJ,Iyer VR","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0710s08","created_at":"2021-09-30T08:26:30.397Z","updated_at":"2021-09-30T08:26:30.397Z"},{"id":2287,"pubmed_id":12930545,"title":"The Longhorn Array Database (LAD): an open-source, MIAME compliant implementation of the Stanford Microarray Database (SMD).","year":2003,"url":"http://doi.org/10.1186/1471-2105-4-32","authors":"Killion PJ,Sherlock G,Iyer VR","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-4-32","created_at":"2021-09-30T08:26:38.725Z","updated_at":"2021-09-30T08:26:38.725Z"}],"licence_links":[],"grants":[{"id":3037,"fairsharing_record_id":2623,"organisation_id":3138,"relation":"maintains","created_at":"2021-09-30T09:26:04.717Z","updated_at":"2021-09-30T09:26:04.717Z","grant_id":null,"is_lead":false,"saved_state":{"id":3138,"name":"University of Texas at Austin, Austin, TX, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2612","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T12:53:29.000Z","updated_at":"2023-06-23T16:00:01.352Z","metadata":{"doi":"10.25504/FAIRsharing.3fa02d","name":"Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts","status":"ready","contacts":[{"contact_name":"Yutaka Suzuki","contact_email":"ysuzuki@k.u-tokyo.ac.jp"}],"homepage":"http://kero.hgc.jp/","citations":[],"identifier":2612,"description":"The Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts (DBKERO) stores transcriptome information with a catalogue of genomic variations including public SNP data and epigenome information to enable further in-depth analyses on the disease-causing molecular mechanisms. Recent additions include genomic variation datasets and epigenome variation datasets focusing on the Japanese population. These datasets were collected as a series of genome-wide association studies and as part of International Human Epigenome Consortium (IHEC) projects. The goal is to have this database serve as a model case for the genomic, epigenomic and transcriptomic variations occurring in particular ethnic backgrounds and underlying various diseases. Clinical samples data were also associated with data from various model systems such as drug perturbation datasets using cultured cancer cells.","abbreviation":"DBKERO","data_curation":{"type":"not found"},"support_links":[{"url":"http://kero.hgc.jp/?doc:help_2017.html","name":"How to use DBKERO","type":"Help documentation"},{"url":"http://kero.hgc.jp/?doc:data_contents_2017.html","name":"Data Contents","type":"Help documentation"},{"url":"http://kero.hgc.jp/?doc:protocol_2017.html","name":"Experimental Protocols","type":"Help documentation"}],"year_creation":2001,"data_versioning":"no","associated_tools":[{"url":"https://integbio.jp/rdf/kero/?view=detail\u0026id=kero","name":"DBKERO RDF"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001096","bsg-d001096"],"name":"FAIRsharing record for: Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts","abbreviation":"DBKERO","url":"https://fairsharing.org/10.25504/FAIRsharing.3fa02d","doi":"10.25504/FAIRsharing.3fa02d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts (DBKERO) stores transcriptome information with a catalogue of genomic variations including public SNP data and epigenome information to enable further in-depth analyses on the disease-causing molecular mechanisms. Recent additions include genomic variation datasets and epigenome variation datasets focusing on the Japanese population. These datasets were collected as a series of genome-wide association studies and as part of International Human Epigenome Consortium (IHEC) projects. The goal is to have this database serve as a model case for the genomic, epigenomic and transcriptomic variations occurring in particular ethnic backgrounds and underlying various diseases. Clinical samples data were also associated with data from various model systems such as drug perturbation datasets using cultured cancer cells.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12807}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenetics","Life Science","Transcriptomics","Biomedical Science","Population Genetics"],"domains":["Regulation of gene expression","Mutation","Disease","Single nucleotide polymorphism","Regulatory region","Genome-wide association study","Gene-disease association"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2105,"pubmed_id":29126224,"title":"DBTSS/DBKERO for integrated analysis of transcriptional regulation.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1001","authors":"Suzuki A,Kawano S,Mitsuyama T,Suyama M,Kanai Y,Shirahige K,Sasaki H,Tokunaga K,Tsuchihara K,Sugano S,Nakai K,Suzuki Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1001","created_at":"2021-09-30T08:26:17.264Z","updated_at":"2021-09-30T11:29:29.311Z"}],"licence_links":[],"grants":[{"id":3000,"fairsharing_record_id":2612,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:26:03.434Z","updated_at":"2021-09-30T09:26:03.434Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2998,"fairsharing_record_id":2612,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:26:03.385Z","updated_at":"2021-09-30T09:31:43.602Z","grant_id":1299,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","grant":"16H06279","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2999,"fairsharing_record_id":2612,"organisation_id":774,"relation":"maintains","created_at":"2021-09-30T09:26:03.409Z","updated_at":"2021-09-30T09:26:03.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":774,"name":"Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3001,"fairsharing_record_id":2612,"organisation_id":1595,"relation":"maintains","created_at":"2021-09-30T09:26:03.468Z","updated_at":"2021-09-30T09:26:03.468Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2614","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T13:44:50.000Z","updated_at":"2024-03-21T13:59:17.851Z","metadata":{"name":"Brassica Information Portal","status":"deprecated","contacts":[{"contact_email":"bip@earlham.ac.uk"}],"homepage":"https://bip.earlham.ac.uk/","citations":[],"identifier":2614,"description":"The Brassica Information Portal is a web repository for population and trait scoring information related to the Brassica breeding community. It provides information about quantitative trait loci and links curated Brassica phenotype experimental data with genotype information stored in external data sources. Advanced data submission capabilities and APIs enable users to store and publish their own study results in BIP. The repository can be easily browsed thanks to a set of user-friendly query interfaces.","abbreviation":"BIP","data_curation":{"type":"not found"},"support_links":[{"url":"https://bip.earlham.ac.uk/about_bip","name":"About BIP","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://bip.earlham.ac.uk/analyses/new","name":"GWAS using GWASSER"}],"deprecation_date":"2022-06-27","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001098","bsg-d001098"],"name":"FAIRsharing record for: Brassica Information Portal","abbreviation":"BIP","url":"https://fairsharing.org/fairsharing_records/2614","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Brassica Information Portal is a web repository for population and trait scoring information related to the Brassica breeding community. It provides information about quantitative trait loci and links curated Brassica phenotype experimental data with genotype information stored in external data sources. Advanced data submission capabilities and APIs enable users to store and publish their own study results in BIP. The repository can be easily browsed thanks to a set of user-friendly query interfaces.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16737}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Plant Breeding","Life Science","Population Genetics"],"domains":["Phenotype","Quantitative trait loci","Genotype"],"taxonomies":["Brassica"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United Kingdom"],"publications":[{"id":467,"pubmed_id":28529710,"title":"Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data.","year":2017,"url":"http://doi.org/10.12688/f1000research.11301.2","authors":"Eckes AH,Gubala T,Nowakowski P,Szymczyszyn T,Wells R,Irwin JA,Horro C,Hancock JM,King G,Dyer SC,Jurkowski W","journal":"F1000Res","doi":"10.12688/f1000research.11301.2","created_at":"2021-09-30T08:23:10.762Z","updated_at":"2021-09-30T08:23:10.762Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1623,"relation":"undefined"}],"grants":[{"id":3005,"fairsharing_record_id":2614,"organisation_id":801,"relation":"maintains","created_at":"2021-09-30T09:26:03.610Z","updated_at":"2021-09-30T09:26:03.610Z","grant_id":null,"is_lead":false,"saved_state":{"id":801,"name":"Earlham Institute, Norwich, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3007,"fairsharing_record_id":2614,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:03.659Z","updated_at":"2021-09-30T09:26:03.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11587,"fairsharing_record_id":2614,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:17.659Z","updated_at":"2024-03-21T13:59:17.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2615","type":"fairsharing_records","attributes":{"created_at":"2018-06-07T12:52:27.000Z","updated_at":"2023-12-15T10:30:25.125Z","metadata":{"doi":"10.25504/FAIRsharing.d8fea5","name":"Metabolonote","status":"ready","contacts":[{"contact_name":"Metabolonote Administrators","contact_email":"metabolonote@kazusa.or.jp"}],"homepage":"http://metabolonote.kazusa.or.jp","citations":[],"identifier":2615,"description":"Metabolonote is a specialized database system that manages metadata for experimental data obtained through the study of Metabolomics. This system was developed with the aim of promoting the publication and utilization of Metabolomics data by simplifying the metadata recording process.","abbreviation":"Metabolonote","data_curation":{"type":"none"},"support_links":[{"url":"http://metabolonote.kazusa.or.jp/Help:Create_New_Account","name":"How to Create an Account","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Help:Data_Structure_ID","name":"Structure and ID Notation","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Help:Setup_Metabolonote","name":"How to Setup a Local Metabolonote Installation","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Help:Contents","name":"Help Pages","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Metabolonote:About","name":"About Metabolonote","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001099","bsg-d001099"],"name":"FAIRsharing record for: Metabolonote","abbreviation":"Metabolonote","url":"https://fairsharing.org/10.25504/FAIRsharing.d8fea5","doi":"10.25504/FAIRsharing.d8fea5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metabolonote is a specialized database system that manages metadata for experimental data obtained through the study of Metabolomics. This system was developed with the aim of promoting the publication and utilization of Metabolomics data by simplifying the metadata recording process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Metabolomics"],"domains":["Experimental measurement","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1360,"pubmed_id":25905099,"title":"Metabolonote: a wiki-based database for managing hierarchical metadata of metabolome analyses.","year":2015,"url":"http://doi.org/10.3389/fbioe.2015.00038","authors":"Ara T,Enomoto M,Arita M,Ikeda C,Kera K,Yamada M,Nishioka T,Ikeda T,Nihei Y,Shibata D,Kanaya S,Sakurai N","journal":"Front Bioeng Biotechnol","doi":"10.3389/fbioe.2015.00038","created_at":"2021-09-30T08:24:52.085Z","updated_at":"2021-09-30T08:24:52.085Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2253,"relation":"undefined"}],"grants":[{"id":3009,"fairsharing_record_id":2615,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:26:03.732Z","updated_at":"2021-09-30T09:26:03.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3008,"fairsharing_record_id":2615,"organisation_id":1628,"relation":"maintains","created_at":"2021-09-30T09:26:03.690Z","updated_at":"2021-09-30T09:26:03.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":1628,"name":"Kazusa DNA Research Institute, Chiba, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3010,"fairsharing_record_id":2615,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:26:03.774Z","updated_at":"2021-09-30T09:26:03.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2616","type":"fairsharing_records","attributes":{"created_at":"2018-07-17T08:27:41.000Z","updated_at":"2024-04-29T10:30:18.375Z","metadata":{"doi":"10.25504/FAIRsharing.92473c","name":"IUPAC Gold Book : Compendium of Chemical Terminology","status":"ready","contacts":[{"contact_name":"Jan Kaiser - Content Editor","contact_email":"goldbook@iupac.org","contact_orcid":null},{"contact_name":"Stuart Chalk - Technical Editor","contact_email":"goldbook@iupac.org","contact_orcid":null}],"homepage":"https://goldbook.iupac.org/","citations":[],"identifier":2616,"description":"The Compendium is popularly referred to as the \"Gold Book\" and is one of the series of IUPAC \"Colour Books\" on chemical nomenclature, terminology, symbols and units, and collects together terminology definitions from IUPAC recommendations already published in Pure and Applied Chemistry and in the other Colour Books.","abbreviation":"IUPAC Gold Book","data_curation":{"type":"manual"},"support_links":[{"url":"https://goldbook.iupac.org/pages/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/iupac","type":"Github"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"https://httpd.apache.org/docs/2.4/","name":"Apache Webserver"},{"url":"https://www.php.net/","name":"PHP Scripting Language"},{"url":"https://book.cakephp.org/2/en/index.html","name":"CakePHP Scripting Framework"},{"url":"https://www.jetbrains.com/phpstorm/","name":"PHPStorm Coding Environment "},{"url":"https://getbootstrap.com/","name":"Bootstrap UI"},{"url":"https://jquery.com/","name":"JQuery JavaScript Framework"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001101","bsg-d001101"],"name":"FAIRsharing record for: IUPAC Gold Book : Compendium of Chemical Terminology","abbreviation":"IUPAC Gold Book","url":"https://fairsharing.org/10.25504/FAIRsharing.92473c","doi":"10.25504/FAIRsharing.92473c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Compendium is popularly referred to as the \"Gold Book\" and is one of the series of IUPAC \"Colour Books\" on chemical nomenclature, terminology, symbols and units, and collects together terminology definitions from IUPAC recommendations already published in Pure and Applied Chemistry and in the other Colour Books.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry","Natural Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":3012,"fairsharing_record_id":2616,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:26:03.848Z","updated_at":"2024-04-09T12:51:33.734Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2608","type":"fairsharing_records","attributes":{"created_at":"2018-06-12T15:13:37.000Z","updated_at":"2022-12-16T15:51:43.341Z","metadata":{"doi":"10.25504/FAIRsharing.178BmT","name":"Portail Data INRAE","status":"deprecated","contacts":[{"contact_name":"Esther Dzalé Yeumo","contact_email":"esther.dzale-yeumo@inrae.fr","contact_orcid":"0000-0001-5954-8415"}],"homepage":"https://data.inrae.fr/","citations":[],"identifier":2608,"description":"Portail Data INRAE is offered by INRAE as part of its mission to open the results of its research. INRAE is Europe’s top agricultural research institute and the world’s number two centre for the agricultural sciences. Data INRAE will share research data in relation to food, nutrition, agriculture and environment. It includes experimental, simulation and observation data, omics data, survey and text data. Only data produced by or in collaboration with INRAE will be hosted in the repository, but anyone can access the metadata and the open data. Data INRAE is built on software from the Dataverse Project.","abbreviation":"Data INRAE","data_curation":{},"support_links":[{"url":"datainrae@inrae.fr","name":"Data INRAE support team","type":"Support email"},{"url":"https://docs.google.com/document/d/1YjBvWlgN_52wiggvOVOG5kGy8NMZ7EMobgnUu-GRiok/edit","name":"Data INRAE - Guide de lutilisateur (in french)","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012673","name":"re3data:r3d100012673","portal":"re3data"}],"deprecation_date":"2022-12-12","deprecation_reason":"Data INRAE has joined the French national repository Recherche Data Gouv, and therefore has been superceded by Recherche Data Gouv.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001091","bsg-d001091"],"name":"FAIRsharing record for: Portail Data INRAE","abbreviation":"Data INRAE","url":"https://fairsharing.org/10.25504/FAIRsharing.178BmT","doi":"10.25504/FAIRsharing.178BmT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Portail Data INRAE is offered by INRAE as part of its mission to open the results of its research. INRAE is Europe’s top agricultural research institute and the world’s number two centre for the agricultural sciences. Data INRAE will share research data in relation to food, nutrition, agriculture and environment. It includes experimental, simulation and observation data, omics data, survey and text data. Only data produced by or in collaboration with INRAE will be hosted in the repository, but anyone can access the metadata and the open data. Data INRAE is built on software from the Dataverse Project.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12806},{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12984}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Soil Science","Botany","Economics","Forest Management","Animal Genetics","Genomics","Animal Physiology","Horticulture","Animal Husbandry","Food Security","Aquaculture","Agriculture","Life Science","Nutritional Science","Veterinary Medicine","Biomedical Science","Biology","Plant Genetics"],"domains":["Animal organ development"],"taxonomies":["Animalia","Cellular organisms","Plantae"],"user_defined_tags":["Applied Forest Research"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Licence Ouverte / Open Licence Version 2.0 compatible CC BY 4.0","licence_id":488,"licence_url":"https://www.etalab.gouv.fr/licence-ouverte-open-licence","link_id":965,"relation":"undefined"}],"grants":[{"id":2993,"fairsharing_record_id":2608,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:26:03.190Z","updated_at":"2021-09-30T09:26:03.190Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBalFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1965ac455b8e43eea728d231f7247e863099d520/DATA%20INRAE%20LOGO%20RVB%204.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2609","type":"fairsharing_records","attributes":{"created_at":"2018-05-21T18:35:48.000Z","updated_at":"2023-06-23T14:53:20.782Z","metadata":{"doi":"10.25504/FAIRsharing.cHo2bh","name":"Citrusgreening.org","status":"ready","contacts":[{"contact_name":"Surya Saha","contact_email":"ss2489@cornell.edu","contact_orcid":"0000-0002-1160-1413"}],"homepage":"https://citrusgreening.org","citations":[],"identifier":2609,"description":"Huanglongbing (HLB) is a tritrophic disease complex involving citrus host trees, the Asian citrus psyllid (ACP) insect and a phloem restricted, bacterial pathogen Candidatus Liberibacter asiaticus (CLas). HLB is considered to be the most devastating of all citrus diseases, and there is currently no adequate control strategy. Citrusgreening.org is a database for host, vector and pathogen involved in citrus greening disease.","abbreviation":"Citrusgreening","data_curation":{"url":"https://citrusgreening.org/annotation/index","type":"manual/automated","notes":"Genomes annotation is organized thanks to bootcamp projects."},"support_links":[{"url":"https://www.facebook.com/citrusgreening","name":"CitrusGreening Facebook page","type":"Facebook"},{"url":"https://citrusgreening.org/contact/form","name":"CitrusGreening Contact Form","type":"Contact form"},{"url":"https://citrusgreening.org/forum/topics.pl","name":"Database Forum","type":"Forum"},{"url":"https://citrusgreening.org/oldnews.pl","name":"News","type":"Help documentation"},{"url":"https://citrusgreening.org/disease/index","name":"About CitrusGreening / Huanglongbing Disease","type":"Help documentation"},{"url":"https://citrusgreening.org/disease/impact","name":"Impact on US Citrus Production","type":"Help documentation"},{"url":"https://citrusgreening.org/disease/researchhighlights/index","name":"Research Highlights","type":"Help documentation"},{"url":"https://citrusgreening.org/oldpublications.pl","name":"All Publications","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Citrus_clementina/genome","name":"Citrus clementina Genome","type":"Help documentation"},{"url":"https://citrusgreening.org/about/index.pl","name":"About","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Diaphorina_citri/genome","name":"Diaphorina citri Genome and Transcriptome","type":"Help documentation"},{"url":"https://citrusgreening.org/annotation/index","name":"Annotation of Psyllid Genome","type":"Help documentation"},{"url":"https://citrusgreening.org/microtomography/index","name":"Imaging (Microtomography)","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Candidatus_Liberibacter_asiaticus_psy62/genome","name":"Candidatus Liberibacter asiaticus psy62 Genome","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Citrus_sinensis/genome","name":"Citrus sinensis Genome","type":"Help documentation"},{"url":"https://twitter.com/CitrusGreening","name":"@CitrusGreening","type":"Twitter"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"http://apollo.sgn.cornell.edu/apollo/529731/jbrowse/index.html","name":"JBrowse"},{"url":"http://pen.sgn.cornell.edu/expression_viewer/input","name":"Expression Viewer"},{"url":"https://citrusgreening.org/tools/blast","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001092","bsg-d001092"],"name":"FAIRsharing record for: Citrusgreening.org","abbreviation":"Citrusgreening","url":"https://fairsharing.org/10.25504/FAIRsharing.cHo2bh","doi":"10.25504/FAIRsharing.cHo2bh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Huanglongbing (HLB) is a tritrophic disease complex involving citrus host trees, the Asian citrus psyllid (ACP) insect and a phloem restricted, bacterial pathogen Candidatus Liberibacter asiaticus (CLas). HLB is considered to be the most devastating of all citrus diseases, and there is currently no adequate control strategy. Citrusgreening.org is a database for host, vector and pathogen involved in citrus greening disease.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15733}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Agriculture","Life Science"],"domains":[],"taxonomies":["Candidatus Liberibacter asiaticus","Citrus","Citrus clementina","Citrus sinensis","Diaphorina citri"],"user_defined_tags":["Plant disease vector","Plant-pathogen interaction"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2994,"fairsharing_record_id":2609,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:03.228Z","updated_at":"2021-09-30T09:26:03.228Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2995,"fairsharing_record_id":2609,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:03.261Z","updated_at":"2021-09-30T09:26:03.261Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2610","type":"fairsharing_records","attributes":{"created_at":"2018-05-23T13:57:33.000Z","updated_at":"2022-07-20T12:08:18.119Z","metadata":{"name":"Common Evidence Model","status":"deprecated","contacts":[{"contact_name":"Richard Boyce","contact_email":"rdb20@pitt.edu","contact_orcid":"0000-0002-2993-2085"}],"homepage":"https://github.com/OHDSI/CommonEvidenceModel","citations":[],"identifier":2610,"description":"The CommonEvidenceModel (CEM) provides an evidence base of a wide variety of sources with information relevant for assessing associations between drugs and health outcomes of interest.","abbreviation":"CEM","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/OHDSI/CommonEvidenceModel/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://forums.ohdsi.org/c/researchers","name":"OHDSI Forums","type":"Help documentation"},{"url":"https://github.com/OHDSI/CommonEvidenceModel/wiki","name":"CEM Wiki","type":"Github"}],"year_creation":2018,"data_versioning":"not found","associated_tools":[{"url":"https://github.com/ohdsi/Atlas","name":"Atlas 2.3"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and the resource developers have confirmed that it has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001093","bsg-d001093"],"name":"FAIRsharing record for: Common Evidence Model","abbreviation":"CEM","url":"https://fairsharing.org/fairsharing_records/2610","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CommonEvidenceModel (CEM) provides an evidence base of a wide variety of sources with information relevant for assessing associations between drugs and health outcomes of interest.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Drug","Adverse Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":2500,"pubmed_id":24985530,"title":"Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest.","year":2014,"url":"http://doi.org/10.1007/s40264-014-0189-0","authors":"Boyce RD,Ryan PB,Noren GN,Schuemie MJ,Reich C,Duke J,Tatonetti NP,Trifiro G,Harpaz R,Overhage JM,Hartzema AG,Khayter M,Voss EA,Lambert CG,Huser V,Dumontier M","journal":"Drug Saf","doi":"10.1007/s40264-014-0189-0","created_at":"2021-09-30T08:27:06.756Z","updated_at":"2021-09-30T08:27:06.756Z"},{"id":2690,"pubmed_id":28270198,"title":"Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data.","year":2017,"url":"http://doi.org/10.1186/s13326-017-0115-3","authors":"Boyce, RD., Voss, E., Huser, V., Evans, L., Reich, C., Duke, JD., Tatonetti, NP., Lorberbaum, T., Dumontier, M., Hauben, M., Wallberg, M., Peng, L., Dempster, S., He, O., Sena, A., Koutkias, V., Natsiavas, P., Ryan, P.","journal":"J Biomed Semantics","doi":"10.1186/s13326-017-0115-3","created_at":"2021-09-30T08:27:30.428Z","updated_at":"2021-09-30T08:27:30.428Z"},{"id":2691,"pubmed_id":27993747,"title":"Accuracy of an automated knowledge base for identifying drug adverse reactions.","year":2016,"url":"http://doi.org/S1532-0464(16)30179-4","authors":"Voss EA,Boyce RD,Ryan PB,van der Lei J,Rijnbeek PR,Schuemie MJ","journal":"J Biomed Inform","doi":"S1532-0464(16)30179-4","created_at":"2021-09-30T08:27:30.538Z","updated_at":"2021-09-30T08:27:30.538Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1672,"relation":"undefined"}],"grants":[{"id":2997,"fairsharing_record_id":2610,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:26:03.354Z","updated_at":"2021-09-30T09:31:51.462Z","grant_id":1358,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"K01AG044433","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2996,"fairsharing_record_id":2610,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:26:03.294Z","updated_at":"2021-09-30T09:32:07.974Z","grant_id":1483,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01LM011838","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2611","type":"fairsharing_records","attributes":{"created_at":"2018-07-02T21:11:53.000Z","updated_at":"2023-12-15T10:31:40.368Z","metadata":{"doi":"10.25504/FAIRsharing.QXSgvF","name":"MirGeneDB.org","status":"ready","contacts":[{"contact_name":"Bastian Fromm","contact_email":"BastianFromm@gmail.com","contact_orcid":"0000-0003-0352-3037"}],"homepage":"http://mirgenedb.org","citations":[{"doi":"10.1146/annurev-genet-120213-092023","pubmed_id":26473382,"publication_id":923}],"identifier":2611,"description":"MirGeneDB is a database of microRNA genes that have been validated and annotated as described in \"A Uniform System for the Annotation of Vertebrate microRNA Genes and the Evolution of the Human microRNAome\".* The initial version contained 1,434 microRNA genes for human, mouse, chicken and zebrafish. Version 2.0 contains more than 10,000 genes from 45 organisms representing nearly every major metazoan group, and these microRNAs can be browsed, searched and downloaded.","abbreviation":"MirGeneDB","data_curation":{"type":"manual","notes":"https://mirgenedb.org/"},"support_links":[{"url":"http://mirgenedb.org/information","name":"miRNA Information","type":"Help documentation"},{"url":"https://twitter.com/MirGeneDB","name":"@MirGeneDB","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001095","bsg-d001095"],"name":"FAIRsharing record for: MirGeneDB.org","abbreviation":"MirGeneDB","url":"https://fairsharing.org/10.25504/FAIRsharing.QXSgvF","doi":"10.25504/FAIRsharing.QXSgvF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MirGeneDB is a database of microRNA genes that have been validated and annotated as described in \"A Uniform System for the Annotation of Vertebrate microRNA Genes and the Evolution of the Human microRNAome\".* The initial version contained 1,434 microRNA genes for human, mouse, chicken and zebrafish. Version 2.0 contains more than 10,000 genes from 45 organisms representing nearly every major metazoan group, and these microRNAs can be browsed, searched and downloaded.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Evolutionary Biology","Life Science"],"domains":["Sequence annotation","Evolution","Micro RNA","Pre-miRNA (pre-microRNA)"],"taxonomies":["Aedes aegypti","Alligator Mississippiensis","Anolis carolinensis","Ascaris suum","Blattella germanica","Bos taurus","Branchiostoma floridae","Caenorhabditis briggsae","Caenorhabditis elegans","Canis familiaris","Capitella teleta","Cavia porcellus","Chrysemys picta belli","Ciona intestinalis","Columba livia","Crassostrea gigas","Danio rerio","Daphnia pulex","Dasypus novemcinctus","Drosophila ananassae","Drosophila melanogaster","Drosophila mojavensis","Echinops telfairi","Eisenia fetida","Gallus gallus","Heliconius melpomene","Homo sapiens","Ixodes scapularis","Lingula anatina","Lottia gigantea","Macaca mulatta","Monodelphis domestica","Mus musculus","Ornithorhynchus anatinus","Oryctolagus cuniculus","Patiria miniata","Ptychodera flava","Rattus norvegicus","Saccoglossus kowalevskii","Sarcophilus harrisii","Scyliorhinus torazame","Strongylocentrotus purpuratus","Taeniopygia guttata","Tribolium castaneum","Xenopus tropicalis"],"user_defined_tags":[],"countries":["Norway","Sweden","United States"],"publications":[{"id":923,"pubmed_id":26473382,"title":"A Uniform System for the Annotation of Vertebrate microRNA Genes and the Evolution of the Human microRNAome.","year":2015,"url":"http://doi.org/10.1146/annurev-genet-120213-092023","authors":"Fromm B,Billipp T,Peck LE,Johansen M,Tarver JE,King BL,Newcomb JM,Sempere LF,Flatmark K,Hovig E,Peterson KJ","journal":"Annu Rev Genet","doi":"10.1146/annurev-genet-120213-092023","created_at":"2021-09-30T08:24:01.913Z","updated_at":"2021-09-30T08:24:01.913Z"},{"id":1168,"pubmed_id":null,"title":"MirGeneDB2.0: the curated microRNA Gene Database (Preprint)","year":2018,"url":"http://doi.org/10.1101/258749","authors":"Bastian Fromm, Diana Domanska, Michael Hackenberg, Anthony Mathelier, Eirik Hoye, Morten Johansen, Eivind Hovig, Kjersti Flatmark, Kevin J Peterson","journal":"BioRxiv","doi":"10.1101/258749","created_at":"2021-09-30T08:24:29.808Z","updated_at":"2021-09-30T11:28:39.794Z"},{"id":3090,"pubmed_id":31598695,"title":"MirGeneDB 2.0: the metazoan microRNA complement.","year":2019,"url":"http://doi.org/10.1093/nar/gkz885","authors":"Fromm B,Domanska D,Hoye E,Ovchinnikov V,Kang W,Aparicio-Puerta E,Johansen M,Flatmark K,Mathelier A,Hovig E,Hackenberg M,Friedlander MR,Peterson KJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz885","created_at":"2021-09-30T08:28:20.707Z","updated_at":"2021-09-30T11:29:51.079Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2602","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:47:57.000Z","updated_at":"2023-03-24T15:19:58.284Z","metadata":{"name":"The National Trauma Research Repository","status":"deprecated","contacts":[{"contact_name":"Michelle Price","contact_email":"ntrr-info@ntrr-nti.org","contact_orcid":"0000-0001-6402-7956"}],"homepage":"https://www.nattrauma.org/research/ntrr/","citations":[],"identifier":2602,"description":"The National Trauma Research Repository (NTRR) is a comprehensive web platform for uploading and managing research datasets to support data sharing among trauma investigators. The Coalition for National Trauma Research (CNTR) is leading this collaborative effort funded by the Department of Defense (DoD) to advance trauma care. Investigators at the National Trauma Institute (NTI), in collaboration with the National Institutes of Health Center for Information Technology and Sapient Government Services, are creating the centralized, cloud-based data repository and discovery portal of trauma research data from numerous studies conducted throughout the United States. The NTRR enables researchers to share data and collaborate on secondary analyses as well as combine and analyze data across studies. The repository is also a resource for researchers in developing data sharing plans to meet new funding and publishing requirements.","abbreviation":"NTRR","data_curation":{"type":"not found"},"support_links":[{"url":"https://ntrr-nti.org/contact","type":"Contact form"},{"url":"https://ntrr-nti.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ntrr-nti.org/training","type":"Training documentation"}],"year_creation":2018,"data_versioning":"not found","deprecation_date":"2023-03-24","deprecation_reason":"This resource has been deprecated because of the ressource homepage message \"The NTRR was built to become a key element of the necessary infrastructure to support national trauma research. Currently, however, it is offline pending additional funding\".","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001085","bsg-d001085"],"name":"FAIRsharing record for: The National Trauma Research Repository","abbreviation":"NTRR","url":"https://fairsharing.org/fairsharing_records/2602","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Trauma Research Repository (NTRR) is a comprehensive web platform for uploading and managing research datasets to support data sharing among trauma investigators. The Coalition for National Trauma Research (CNTR) is leading this collaborative effort funded by the Department of Defense (DoD) to advance trauma care. Investigators at the National Trauma Institute (NTI), in collaboration with the National Institutes of Health Center for Information Technology and Sapient Government Services, are creating the centralized, cloud-based data repository and discovery portal of trauma research data from numerous studies conducted throughout the United States. The NTRR enables researchers to share data and collaborate on secondary analyses as well as combine and analyze data across studies. The repository is also a resource for researchers in developing data sharing plans to meet new funding and publishing requirements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Traumatology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":481,"pubmed_id":27496599,"title":"The National Trauma Research Repository: Ushering in a new era of trauma research","year":2016,"url":"http://doi.org/10.1097/SHK.0000000000000678","authors":"Smith, S. L. Price, M. A. Fabian, T. C. Jurkovich, G. J. Pruitt, B. A., Jr. Stewart, R. M. Jenkins, D. H.","journal":"Shock","doi":"10.1097/SHK.0000000000000678","created_at":"2021-09-30T08:23:12.317Z","updated_at":"2021-09-30T08:23:12.317Z"}],"licence_links":[{"licence_name":"NTRR Policies and Procedures","licence_id":605,"licence_url":"https://ntrr-nti.org/policies-and-procedures","link_id":972,"relation":"undefined"}],"grants":[{"id":2978,"fairsharing_record_id":2602,"organisation_id":3166,"relation":"funds","created_at":"2021-09-30T09:26:02.525Z","updated_at":"2021-09-30T09:30:07.597Z","grant_id":562,"is_lead":false,"saved_state":{"id":3166,"name":"U.S. Department of Defense","grant":"#W81XWH-15.2.0089","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9026,"fairsharing_record_id":2602,"organisation_id":2083,"relation":"funds","created_at":"2022-03-24T14:47:58.521Z","updated_at":"2022-03-24T14:47:58.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2083,"name":"National Trauma Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2977,"fairsharing_record_id":2602,"organisation_id":2083,"relation":"maintains","created_at":"2021-09-30T09:26:02.500Z","updated_at":"2021-09-30T09:26:02.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":2083,"name":"National Trauma Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2604","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T12:28:02.000Z","updated_at":"2022-07-20T11:46:55.225Z","metadata":{"name":"Open Toxicogenomics Project-Genomics Assisted Toxicity Evaluation system","status":"deprecated","contacts":[{"contact_name":"Hiroshi Yamada","contact_email":"h-yamada@nibio.go.jp"}],"homepage":"http://toxico.nibiohn.go.jp/english/","identifier":2604,"description":"Open TG-GATEs is a public toxicogenomics database developed so that a wider community of researchers could utilize the fruits of TGP and TGP2 research. This database provides public access to data on 170 of the compounds catalogued in TG-GATEs. Data searching can be refined using either the name of a compound or the pathological findings by organ as the starting point. Gene expression data linked to phenotype data in pathology findings can also be downloaded as a CEL(*)file.","abbreviation":"Open TG-GATEs","data_curation":{"type":"not found"},"support_links":[{"url":"http://toxico.nibiohn.go.jp/english/news.html","name":"News","type":"Blog/News"},{"url":"opentggates@nibiohn.jp","type":"Support email"},{"url":"http://toxico.nibiohn.go.jp/english/seika.html","name":"List of Toxicogenomics Project Documents","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001087","bsg-d001087"],"name":"FAIRsharing record for: Open Toxicogenomics Project-Genomics Assisted Toxicity Evaluation system","abbreviation":"Open TG-GATEs","url":"https://fairsharing.org/fairsharing_records/2604","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open TG-GATEs is a public toxicogenomics database developed so that a wider community of researchers could utilize the fruits of TGP and TGP2 research. This database provides public access to data on 170 of the compounds catalogued in TG-GATEs. Data searching can be refined using either the name of a compound or the pathological findings by organ as the starting point. Gene expression data linked to phenotype data in pathology findings can also be downloaded as a CEL(*)file.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12804},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16648}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Toxicogenomics","Biomedical Science","Pathology"],"domains":["Expression data","Histology","Liver"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":["Digital pathology"],"countries":["Japan"],"publications":[{"id":2689,"pubmed_id":25313160,"title":"Open TG-GATEs: a large-scale toxicogenomics database.","year":2014,"url":"http://doi.org/10.1093/nar/gku955","authors":"Igarashi Y,Nakatsu N,Yamashita T,Ono A,Ohno Y,Urushidani T,Yamada H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku955","created_at":"2021-09-30T08:27:30.319Z","updated_at":"2021-09-30T11:29:41.370Z"}],"licence_links":[{"licence_name":"Open TG-GATEs Database License","licence_id":633,"licence_url":"http://toxico.nibiohn.go.jp/english/agreement.html","link_id":1671,"relation":"undefined"}],"grants":[{"id":7964,"fairsharing_record_id":2604,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:30:06.985Z","updated_at":"2021-09-30T09:30:07.037Z","grant_id":558,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","grant":"H14-Toxico-001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2980,"fairsharing_record_id":2604,"organisation_id":2032,"relation":"maintains","created_at":"2021-09-30T09:26:02.575Z","updated_at":"2021-09-30T09:26:02.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":2032,"name":"National Institutes of Biomedical Innovation, Health and Nutrition, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2981,"fairsharing_record_id":2604,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:26:02.600Z","updated_at":"2021-09-30T09:29:29.703Z","grant_id":271,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","grant":"H19-Toxico-001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2598","type":"fairsharing_records","attributes":{"created_at":"2018-05-14T12:39:00.000Z","updated_at":"2023-12-15T10:31:29.425Z","metadata":{"doi":"10.25504/FAIRsharing.97kZl6","name":"SalmoBase","status":"ready","contacts":[{"contact_name":"Jeevan Karloss Antony Samy","contact_email":"jeevan.karloss@nmbu.no","contact_orcid":"0000-0002-8428-1481"}],"homepage":"http://salmobase.org","identifier":2598,"description":"SalmoBase is an integrated molecular resource for Salmonid species which includes visualizations and analytic tools. The genome of the Atlantic salmon (Salmo salar) has undergone extensive restructuring since a whole genome duplication event ~80 million years ago, which creates opportunities to explore the evolutionary process of rediploidization. A public genome assembly is available and ordered into 29 chromosome files. SalmoBase includes a GBrowse interface for exploring the chromosome sequence as well as BLAST functionality and links to expression levels, gene and SNP information. Using public RNAseq data 37,000 high confidence protein coding genes have been identified, wherein almost half show splice variants.","abbreviation":"SalmoBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://salmobase.org/contact.php","name":"Contact Form","type":"Contact form"},{"url":"http://salmobase.org/newsletter.php","name":"Release Updates","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","associated_tools":[{"url":"http://salmobase.org/gbr.html","name":"GBrowse"},{"url":"http://salmobase.org/JBrowse-1.12.3/index.html","name":"JBrowse"},{"url":"http://salmobase.org/blast.html?DB=ASB_BLAST","name":"BLAST"},{"url":"http://salmobase.org/snp.php","name":"GVBrowser (Genetic Variation)"},{"url":"http://salmobase.org/geb.php","name":"GEBrowser (Gene Expression)"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001081","bsg-d001081"],"name":"FAIRsharing record for: SalmoBase","abbreviation":"SalmoBase","url":"https://fairsharing.org/10.25504/FAIRsharing.97kZl6","doi":"10.25504/FAIRsharing.97kZl6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SalmoBase is an integrated molecular resource for Salmonid species which includes visualizations and analytic tools. The genome of the Atlantic salmon (Salmo salar) has undergone extensive restructuring since a whole genome duplication event ~80 million years ago, which creates opportunities to explore the evolutionary process of rediploidization. A public genome assembly is available and ordered into 29 chromosome files. SalmoBase includes a GBrowse interface for exploring the chromosome sequence as well as BLAST functionality and links to expression levels, gene and SNP information. Using public RNAseq data 37,000 high confidence protein coding genes have been identified, wherein almost half show splice variants.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Fisheries Science","Life Science"],"domains":["Gene expression","RNA sequencing","Single nucleotide polymorphism"],"taxonomies":["Oncorhynchus kisutch","Oncorhynchus mykiss","Salmo salar","Salvelinus alpinus"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":2279,"pubmed_id":28651544,"title":"SalmoBase: an integrated molecular data resource for Salmonid species.","year":2017,"url":"http://doi.org/10.1186/s12864-017-3877-1","authors":"Samy JKA,Mulugeta TD,Nome T,Sandve SR,Grammes F,Kent MP,Lien S,Vage DI","journal":"BMC Genomics","doi":"10.1186/s12864-017-3877-1","created_at":"2021-09-30T08:26:37.631Z","updated_at":"2021-09-30T08:26:37.631Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":518,"relation":"undefined"}],"grants":[{"id":2973,"fairsharing_record_id":2598,"organisation_id":846,"relation":"funds","created_at":"2021-09-30T09:26:02.400Z","updated_at":"2021-09-30T09:26:02.400Z","grant_id":null,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2972,"fairsharing_record_id":2598,"organisation_id":464,"relation":"maintains","created_at":"2021-09-30T09:26:02.374Z","updated_at":"2021-09-30T09:26:02.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":464,"name":"Centre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Norway","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2605","type":"fairsharing_records","attributes":{"created_at":"2018-05-15T15:53:32.000Z","updated_at":"2023-12-15T10:28:14.905Z","metadata":{"doi":"10.25504/FAIRsharing.6L6MjA","name":"cBioPortal for Cancer Genomics","status":"ready","contacts":[{"contact_name":"cBioPortal for Cancer Genomics Discussion Group","contact_email":"cbioportal@googlegroups.com"}],"homepage":"http://www.cbioportal.org","citations":[{"doi":"10.1158/2159-8290.CD-12-0095","pubmed_id":22588877,"publication_id":2215}],"identifier":2605,"description":"The cBioPortal for Cancer Genomics provides visualization, analysis and download of large-scale cancer genomics data sets.","abbreviation":"cBioPortal","data_curation":{"url":"https://docs.cbioportal.org/user-guide/faq/#what-is-the-process-of-data-curation","type":"manual/automated"},"support_links":[{"url":"http://www.cbioportal.org/news.jsp","name":"cBioPortal News","type":"Blog/News"},{"url":"http://www.cbioportal.org/faq.jsp","name":"cBioPortal FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://thehyve.nl","name":"Commercial support for cBioPortal","type":"Help documentation"},{"url":"cbioportal@googlegroups.com","name":"cBioPortal for Cancer Genomics Discussion Group","type":"Mailing list"},{"url":"https://github.com/cBioPortal/cbioportal","name":"GitHub Repository","type":"Github"},{"url":"http://www.cbioportal.org/tutorial.jsp","name":"cBioPortal tutorials","type":"Training documentation"},{"url":"https://twitter.com/cbioportal","name":"@cbioportal","type":"Twitter"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/cBioPortal/cbioportal/tree/master/core/src/main/scripts/importer","name":"cBioPortal Importer"},{"url":"http://www.cbioportal.org/oncoprinter.jsp","name":"OncoPrinter"},{"url":"http://www.cbioportal.org/mutation_mapper.jsp","name":"MutationMapper"}],"data_access_condition":{"url":"https://docs.cbioportal.org/user-guide/faq/#what-is-the-cbioportal-for-cancer-genomics","type":"open","notes":"Open-access, open-source resource"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001088","bsg-d001088"],"name":"FAIRsharing record for: cBioPortal for Cancer Genomics","abbreviation":"cBioPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.6L6MjA","doi":"10.25504/FAIRsharing.6L6MjA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The cBioPortal for Cancer Genomics provides visualization, analysis and download of large-scale cancer genomics data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Proteomics","Biomedical Science","Preclinical Studies"],"domains":["Cancer","Copy number variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":144,"pubmed_id":23550210,"title":"Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.","year":2013,"url":"http://doi.org/10.1126/scisignal.2004088","authors":"Gao J,Aksoy BA,Dogrusoz U,Dresdner G,Gross B,Sumer SO,Sun Y,Jacobsen A,Sinha R,Larsson E,Cerami E,Sander C,Schultz N","journal":"Sci Signal","doi":"10.1126/scisignal.2004088","created_at":"2021-09-30T08:22:35.715Z","updated_at":"2021-09-30T08:22:35.715Z"},{"id":2215,"pubmed_id":22588877,"title":"The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.","year":2012,"url":"http://doi.org/10.1158/2159-8290.CD-12-0095","authors":"Cerami E,Gao J,Dogrusoz U,Gross BE,Sumer SO,Aksoy BA,Jacobsen A,Byrne CJ,Heuer ML,Larsson E,Antipin Y,Reva B,Goldberg AP,Sander C,Schultz N","journal":"Cancer Discov","doi":"10.1158/2159-8290.CD-12-0095","created_at":"2021-09-30T08:26:29.649Z","updated_at":"2021-09-30T08:26:29.649Z"}],"licence_links":[{"licence_name":"cBioPortal GNU Affero General Public License","licence_id":105,"licence_url":"https://raw.githubusercontent.com/cBioPortal/cbioportal/master/LICENSE","link_id":569,"relation":"undefined"},{"licence_name":"GNU Affero General Public License","licence_id":352,"licence_url":"http://www.gnu.org/licenses/agpl-3.0.html","link_id":563,"relation":"undefined"}],"grants":[{"id":2982,"fairsharing_record_id":2605,"organisation_id":2356,"relation":"maintains","created_at":"2021-09-30T09:26:02.624Z","updated_at":"2021-09-30T09:26:02.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":2356,"name":"Princess Margaret Cancer Centre, Toronto, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2986,"fairsharing_record_id":2605,"organisation_id":578,"relation":"maintains","created_at":"2021-09-30T09:26:02.957Z","updated_at":"2021-09-30T09:26:02.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":578,"name":"Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2983,"fairsharing_record_id":2605,"organisation_id":506,"relation":"maintains","created_at":"2021-09-30T09:26:02.651Z","updated_at":"2021-09-30T09:26:02.651Z","grant_id":null,"is_lead":false,"saved_state":{"id":506,"name":"Children's Hospital of Philadelphia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2984,"fairsharing_record_id":2605,"organisation_id":2786,"relation":"maintains","created_at":"2021-09-30T09:26:02.842Z","updated_at":"2021-09-30T09:26:02.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":2786,"name":"The Hyve","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2985,"fairsharing_record_id":2605,"organisation_id":385,"relation":"maintains","created_at":"2021-09-30T09:26:02.899Z","updated_at":"2021-09-30T09:26:02.899Z","grant_id":null,"is_lead":false,"saved_state":{"id":385,"name":"cBio Center at the Dana-Farber Cancer Institute and at Harvard Medical School, Boston, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2607","type":"fairsharing_records","attributes":{"created_at":"2018-05-02T13:55:53.000Z","updated_at":"2023-12-15T10:31:08.190Z","metadata":{"doi":"10.25504/FAIRsharing.i1F3Hb","name":"Small angle scattering biological data bank","status":"ready","contacts":[{"contact_name":"Al Kikhney","contact_email":"a.kikhney@embl-hamburg.de","contact_orcid":"0000-0003-1321-3956"},{"contact_name":"General Contact","contact_email":"info@sasbdb.org","contact_orcid":null}],"homepage":"https://www.sasbdb.org/","citations":[],"identifier":2607,"description":"Curated repository for small angle scattering data and models. SASBDB contains X-ray (SAXS) and neutron (SANS) scattering data from biological macromolecules in solution.","abbreviation":"SASBDB","data_curation":{"url":"https://www.sasbdb.org/","type":"manual","notes":"SASBDB is a fully searchable curated repository of freely accessible and downloadable experimental data"},"support_links":[{"url":"https://www.saxier.org/forum/","name":"Small angle scattering Forum","type":"Forum"},{"url":"https://www.sasbdb.org/help/","name":"SASDB Help","type":"Help documentation"},{"url":"https://www.sasbdb.org/aboutSASBDB/","name":"About SASDB","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012273","name":"re3data:r3d100012273","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.sasbdb.org/login/","type":"open","notes":"Registration required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001090","bsg-d001090"],"name":"FAIRsharing record for: Small angle scattering biological data bank","abbreviation":"SASBDB","url":"https://fairsharing.org/10.25504/FAIRsharing.i1F3Hb","doi":"10.25504/FAIRsharing.i1F3Hb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Curated repository for small angle scattering data and models. SASBDB contains X-ray (SAXS) and neutron (SANS) scattering data from biological macromolecules in solution.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12805}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Molecular biology","Life Science"],"domains":["Protein structure"],"taxonomies":["All"],"user_defined_tags":["SAXS","Small angle scattering"],"countries":["Germany"],"publications":[{"id":2116,"pubmed_id":25352555,"title":"SASBDB, a repository for biological small-angle scattering data","year":2014,"url":"http://doi.org/10.1093/nar/gku1047","authors":"Valentini E, Kikhney AG, Previtali G, Jeffries CM, Svergun DI","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1047","created_at":"2021-09-30T08:26:18.580Z","updated_at":"2021-09-30T08:26:18.580Z"},{"id":3997,"pubmed_id":null,"title":"SASBDB: Towards an automatically curated and validated repository for biological scattering data","year":2019,"url":"http://dx.doi.org/10.1002/pro.3731","authors":"Kikhney, Alexey G.; Borges, Clemente R.; Molodenskiy, Dmitry S.; Jeffries, Cy M.; Svergun, Dmitri I.; ","journal":"Protein Science","doi":"10.1002/pro.3731","created_at":"2023-09-25T14:48:19.253Z","updated_at":"2023-09-25T14:48:19.253Z"}],"licence_links":[{"licence_name":"SASDB: Attribution Only","licence_id":1076,"licence_url":"https://www.sasbdb.org/aboutSASBDB/","link_id":3344,"relation":"applies_to_content"}],"grants":[{"id":2992,"fairsharing_record_id":2607,"organisation_id":852,"relation":"maintains","created_at":"2021-09-30T09:26:03.159Z","updated_at":"2023-09-25T14:52:11.958Z","grant_id":null,"is_lead":true,"saved_state":{"id":852,"name":"Biological Small Angle Scattering Group, EMBL Hamburg","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdm9DIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--67619a25f4a4894e34d1b15ebf269e185ecfbc02/sasbdb-logo.png?disposition=inline","exhaustive_licences":true}},{"id":"2624","type":"fairsharing_records","attributes":{"created_at":"2018-07-24T09:24:29.000Z","updated_at":"2022-01-27T15:46:03.163Z","metadata":{"name":"BarleyBase","status":"deprecated","contacts":[{"contact_name":"Julie Dickerson","contact_email":"julied@iastate.edu"}],"homepage":"http://barleybase.org","citations":[],"identifier":2624,"description":"BarleyBase is a public data resource of Affymetrix GeneChip data for plants.","abbreviation":"BarleyBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.plexdb.org/modules/PD_general/feedback.php","type":"Contact form"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2022-01-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001111","bsg-d001111"],"name":"FAIRsharing record for: BarleyBase","abbreviation":"BarleyBase","url":"https://fairsharing.org/fairsharing_records/2624","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BarleyBase is a public data resource of Affymetrix GeneChip data for plants.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Chromatin immunoprecipitation - DNA microarray","DNA microarray"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2223,"pubmed_id":15608273,"title":"BarleyBase--an expression profiling database for plant genomics.","year":2004,"url":"http://doi.org/10.1093/nar/gki123","authors":"Shen L,Gong J,Caldo RA,Nettleton D,Cook D,Wise RP,Dickerson JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki123","created_at":"2021-09-30T08:26:30.496Z","updated_at":"2021-09-30T11:29:31.236Z"}],"licence_links":[],"grants":[{"id":3040,"fairsharing_record_id":2624,"organisation_id":1545,"relation":"funds","created_at":"2021-09-30T09:26:04.828Z","updated_at":"2021-09-30T09:26:04.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3038,"fairsharing_record_id":2624,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:04.757Z","updated_at":"2021-09-30T09:26:04.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3039,"fairsharing_record_id":2624,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:04.795Z","updated_at":"2021-09-30T09:26:04.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2077","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:21:32.482Z","metadata":{"doi":"10.25504/FAIRsharing.s1ne3g","name":"UniProt Knowledgebase","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"help@uniprot.org"}],"homepage":"https://www.uniprot.org","citations":[{"doi":"10.1093/nar/gkac1052","pubmed_id":null,"publication_id":3990}],"identifier":2077,"description":"The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The UniProt Knowledgebase consists of two sections: a reviewed section containing manually-annotated records with information extracted from literature and curator-evaluated computational analysis (aka \"UniProtKB/Swiss-Prot\"), and an unreviewed section with computationally analyzed records that await full manual annotation (aka \"UniProtKB/TrEMBL\").","abbreviation":"UniProtKB","data_curation":{"url":"https://www.uniprot.org/help/biocuration","type":"manual/automated","notes":"Curation is performed by expert biologists using a range of tools that have been iteratively developed in close collaboration with curators."},"support_links":[{"url":"https://www.uniprot.org/contact","name":"Contact","type":"Contact form"},{"url":"https://tess.elixir-europe.org/materials/a-critical-guide-to-uniprotkb","name":"A Critical Guide to UniProtKB","type":"TeSS links to training materials"},{"url":"https://www.youtube.com/channel/UCkCR5RJZCZZoVTQzTYY92aw","name":"Youtube channel","type":"Video"},{"url":"https://twitter.com/uniprot","name":"@uniprot","type":"Twitter"},{"url":"https://www.uniprot.org/help","name":"Help Pages","type":"Help documentation"},{"url":"https://www.uniprot.org/help?facets=category%3Afaq\u0026query=*","name":"All FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.uniprot.org/uniprotkb/statistics","name":"UniProtKB Statistics","type":"Other"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011521","name":"re3data:r3d100011521","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004426","name":"SciCrunch:RRID:SCR_004426","portal":"SciCrunch"},{"url":"http://purl.obolibrary.org/obo/MI_1097","name":"Molecular Interactions","portal":"BioPortal"}],"data_access_condition":{"url":"https://www.uniprot.org/help/disease_query","type":"open"},"resource_sustainability":{"url":"https://www.uniprot.org/help/about","name":"Funding and past funding"},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.uniprot.org/help/about","name":"The UniProt consortium and host institutions EMBL-EBI, SIB and PIR are committed to the long-term preservation of the UniProt databases."},"data_deposition_condition":{"url":"https://www.uniprot.org/help/submissions","type":"open","notes":"Submissions and updates"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000544","bsg-d000544"],"name":"FAIRsharing record for: UniProt Knowledgebase","abbreviation":"UniProtKB","url":"https://fairsharing.org/10.25504/FAIRsharing.s1ne3g","doi":"10.25504/FAIRsharing.s1ne3g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The UniProt Knowledgebase consists of two sections: a reviewed section containing manually-annotated records with information extracted from literature and curator-evaluated computational analysis (aka \"UniProtKB/Swiss-Prot\"), and an unreviewed section with computationally analyzed records that await full manual annotation (aka \"UniProtKB/TrEMBL\").","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17057},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10797},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10965},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11097},{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11215},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11355},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11532},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11846},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12318},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12687},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15063},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16183}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Functional Genomics","Life Science"],"domains":["Molecular structure","Sequence similarity","Expression data","Annotation","Sequence annotation","Gene functional annotation","Function analysis","Proteome","Cellular component","Binding motif","Structure","Protein","Amino acid sequence","Literature curation","Biocuration"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Switzerland","United Kingdom","United States"],"publications":[{"id":249,"pubmed_id":23161681,"title":"Update on activities at the Universal Protein Resource (UniProt) in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1068","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1068","created_at":"2021-09-30T08:22:46.912Z","updated_at":"2021-09-30T11:28:44.409Z"},{"id":638,"pubmed_id":25348405,"title":"UniProt: a hub for protein information","year":2014,"url":"http://doi.org/10.1093/nar/gku989","authors":"The UniProt Consortium","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku989","created_at":"2021-09-30T08:23:30.235Z","updated_at":"2021-09-30T08:23:30.235Z"},{"id":946,"pubmed_id":18287689,"title":"UniProtKB/Swiss-Prot.","year":2008,"url":"http://doi.org/10.1007/978-1-59745-535-0_4","authors":"Boutet E,Lieberherr D,Tognolli M,Schneider M,Bairoch A","journal":"Methods Mol Biol","doi":"10.1007/978-1-59745-535-0_4","created_at":"2021-09-30T08:24:04.678Z","updated_at":"2021-09-30T08:24:04.678Z"},{"id":1023,"pubmed_id":29425356,"title":"UniProt: the universal protein knowledgebase.","year":2018,"url":"http://doi.org/10.1093/nar/gky092","authors":"UniProt Consortium T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky092","created_at":"2021-09-30T08:24:13.286Z","updated_at":"2021-09-30T11:28:56.900Z"},{"id":1031,"pubmed_id":27899622,"title":"UniProt: the universal protein knowledgebase.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1099","authors":"The UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1099","created_at":"2021-09-30T08:24:14.170Z","updated_at":"2021-09-30T11:28:57.092Z"},{"id":1226,"pubmed_id":21447597,"title":"UniProt Knowledgebase: a hub of integrated protein data.","year":2011,"url":"http://doi.org/10.1093/database/bar009","authors":"Magrane M","journal":"Database (Oxford)","doi":"10.1093/database/bar009","created_at":"2021-09-30T08:24:36.707Z","updated_at":"2021-09-30T08:24:36.707Z"},{"id":1269,"pubmed_id":19843607,"title":"The Universal Protein Resource (UniProt) in 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp846","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp846","created_at":"2021-09-30T08:24:41.648Z","updated_at":"2021-09-30T11:29:04.767Z"},{"id":1462,"pubmed_id":16381842,"title":"The Universal Protein Resource (UniProt): an expanding universe of protein information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj161","authors":"Wu CH,Apweiler R,Bairoch A,Natale DA,Barker WC,Boeckmann B,Ferro S,Gasteiger E,Huang H,Lopez R,Magrane M,Martin MJ,Mazumder R,O'Donovan C,Redaschi N,Suzek B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj161","created_at":"2021-09-30T08:25:03.374Z","updated_at":"2021-09-30T11:29:09.085Z"},{"id":1469,"pubmed_id":30395287,"title":"UniProt: a worldwide hub of protein knowledge.","year":2018,"url":"http://doi.org/10.1093/nar/gky1049","authors":"https://academic.oup.com/nar/article/47/D1/D506/5160987","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1049","created_at":"2021-09-30T08:25:04.466Z","updated_at":"2021-09-30T11:29:09.451Z"},{"id":1470,"pubmed_id":27010333,"title":"UniProt Tools.","year":2016,"url":"http://doi.org/10.1002/0471250953.bi0129s53","authors":"Pundir S,Martin MJ,O'Donovan C","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0129s53","created_at":"2021-09-30T08:25:04.568Z","updated_at":"2021-09-30T08:25:04.568Z"},{"id":1471,"pubmed_id":24253303,"title":"Activities at the Universal Protein Resource (UniProt).","year":2013,"url":"http://doi.org/10.1093/nar/gkt1140","authors":"The UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1140","created_at":"2021-09-30T08:25:04.683Z","updated_at":"2021-09-30T11:29:09.543Z"},{"id":1472,"pubmed_id":22123736,"title":"The UniProt-GO Annotation database in 2011.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1048","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1048","created_at":"2021-09-30T08:25:04.782Z","updated_at":"2021-09-30T11:29:09.684Z"},{"id":1473,"pubmed_id":18836194,"title":"The Universal Protein Resource (UniProt) 2009.","year":2008,"url":"http://doi.org/10.1093/nar/gkn664","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn664","created_at":"2021-09-30T08:25:04.882Z","updated_at":"2021-09-30T11:29:09.776Z"},{"id":1474,"pubmed_id":18045787,"title":"The universal protein resource (UniProt).","year":2007,"url":"http://doi.org/10.1093/nar/gkm895","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm895","created_at":"2021-09-30T08:25:04.982Z","updated_at":"2021-09-30T11:29:09.911Z"},{"id":1644,"pubmed_id":15044231,"title":"UniProt archive.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth191","authors":"Leinonen R,Diez FG,Binns D,Fleischmann W,Lopez R,Apweiler R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth191","created_at":"2021-09-30T08:25:24.119Z","updated_at":"2021-09-30T08:25:24.119Z"},{"id":1989,"pubmed_id":15608167,"title":"The Universal Protein Resource (UniProt).","year":2004,"url":"http://doi.org/10.1093/nar/gki070","authors":"Bairoch A,Apweiler R,Wu CH,Barker WC,Boeckmann B,Ferro S,Gasteiger E,Huang H,Lopez R,Magrane M,Martin MJ,Natale DA,O'Donovan C,Redaschi N,Yeh LS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki070","created_at":"2021-09-30T08:26:03.897Z","updated_at":"2021-09-30T11:29:25.210Z"},{"id":2193,"pubmed_id":9181472,"title":"The SWISS-PROT protein sequence database: its relevance to human molecular medical research.","year":1997,"url":"https://www.ncbi.nlm.nih.gov/pubmed/9181472","authors":"Bairoch A,Apweiler R","journal":"J Mol Med (Berl)","doi":null,"created_at":"2021-09-30T08:26:27.175Z","updated_at":"2021-09-30T08:26:27.175Z"},{"id":3728,"pubmed_id":null,"title":"UniProt: the universal protein knowledgebase in 2021","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa1100","authors":"The UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1100","created_at":"2022-12-06T11:19:27.478Z","updated_at":"2022-12-06T11:19:27.478Z"},{"id":3990,"pubmed_id":null,"title":"UniProt: the Universal Protein Knowledgebase in 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1052","authors":"undefined, undefined; Bateman, Alex; Martin, Maria-Jesus; Orchard, Sandra; Magrane, Michele; Ahmad, Shadab; Alpi, Emanuele; Bowler-Barnett, Emily H; Britto, Ramona; Bye-A-Jee, Hema; Cukura, Austra; Denny, Paul; Dogan, Tunca; Ebenezer, ThankGod; Fan, Jun; Garmiri, Penelope; da Costa Gonzales, Leonardo Jose; Hatton-Ellis, Emma; Hussein, Abdulrahman; Ignatchenko, Alexandr; Insana, Giuseppe; Ishtiaq, Rizwan; Joshi, Vishal; Jyothi, Dushyanth; Kandasaamy, Swaathi; Lock, Antonia; Luciani, Aurelien; Lugaric, Marija; Luo, Jie; Lussi, Yvonne; MacDougall, Alistair; Madeira, Fabio; Mahmoudy, Mahdi; Mishra, Alok; Moulang, Katie; Nightingale, Andrew; Pundir, Sangya; Qi, Guoying; Raj, Shriya; Raposo, Pedro; Rice, Daniel L; Saidi, Rabie; Santos, Rafael; Speretta, Elena; Stephenson, James; Totoo, Prabhat; Turner, Edward; Tyagi, Nidhi; Vasudev, Preethi; Warner, Kate; Watkins, Xavier; Zaru, Rossana; Zellner, Hermann; Bridge, Alan J; Aimo, Lucila; Argoud-Puy, Ghislaine; Auchincloss, Andrea H; Axelsen, Kristian B; Bansal, Parit; Baratin, Delphine; Batista Neto, Teresa M; Blatter, Marie-Claude; Bolleman, Jerven T; Boutet, Emmanuel; Breuza, Lionel; Gil, Blanca Cabrera; Casals-Casas, Cristina; Echioukh, Kamal Chikh; Coudert, Elisabeth; Cuche, Beatrice; de Castro, Edouard; Estreicher, Anne; Famiglietti, Maria L; Feuermann, Marc; Gasteiger, Elisabeth; Gaudet, Pascale; Gehant, Sebastien; Gerritsen, Vivienne; Gos, Arnaud; Gruaz, Nadine; Hulo, Chantal; Hyka-Nouspikel, Nevila; Jungo, Florence; Kerhornou, Arnaud; Le Mercier, Philippe; Lieberherr, Damien; Masson, Patrick; Morgat, Anne; Muthukrishnan, Venkatesh; Paesano, Salvo; Pedruzzi, Ivo; Pilbout, Sandrine; Pourcel, Lucille; Poux, Sylvain; Pozzato, Monica; Pruess, Manuela; Redaschi, Nicole; Rivoire, Catherine; Sigrist, Christian J A; Sonesson, Karin; Sundaram, Shyamala; Wu, Cathy H; Arighi, Cecilia N; Arminski, Leslie; Chen, Chuming; Chen, Yongxing; Huang, Hongzhan; Laiho, Kati; McGarvey, Peter; Natale, Darren A; Ross, Karen; Vinayaka, C R; Wang, Qinghua; Wang, Yuqi; Zhang, Jian; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1052","created_at":"2023-09-14T12:33:38.053Z","updated_at":"2023-09-14T12:33:38.053Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":54,"relation":"undefined"}],"grants":[{"id":1584,"fairsharing_record_id":2077,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:12.548Z","updated_at":"2021-09-30T09:29:44.785Z","grant_id":383,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-1062520","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1586,"fairsharing_record_id":2077,"organisation_id":2290,"relation":"funds","created_at":"2021-09-30T09:25:12.682Z","updated_at":"2021-09-30T09:30:28.238Z","grant_id":725,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK","grant":"G-1307","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7947,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:00.284Z","updated_at":"2021-09-30T09:30:00.320Z","grant_id":508,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"G08LM010720","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8340,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:10.343Z","updated_at":"2021-09-30T09:32:10.397Z","grant_id":1500,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"U41HG007822","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1583,"fairsharing_record_id":2077,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:12.506Z","updated_at":"2021-09-30T09:25:12.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1588,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:12.756Z","updated_at":"2021-09-30T09:29:29.375Z","grant_id":268,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R01GM080646","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1585,"fairsharing_record_id":2077,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:25:12.589Z","updated_at":"2021-09-30T09:31:41.528Z","grant_id":1285,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","grant":"RG/13/5/30112","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7965,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:07.143Z","updated_at":"2021-09-30T09:30:07.183Z","grant_id":559,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"U41HG02273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8173,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:19.740Z","updated_at":"2021-09-30T09:31:19.787Z","grant_id":1121,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"P20GM103446","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1582,"fairsharing_record_id":2077,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:25:12.464Z","updated_at":"2023-09-14T12:33:57.580Z","grant_id":null,"is_lead":true,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9419,"fairsharing_record_id":2077,"organisation_id":2635,"relation":"funds","created_at":"2022-04-11T12:07:37.038Z","updated_at":"2022-04-11T12:07:37.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"2078","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:31.038Z","metadata":{"doi":"10.25504/FAIRsharing.3axym7","name":"Germplasm Resources Information Network","status":"ready","contacts":[{"contact_email":"dbmu@ars-grin.gov"}],"homepage":"https://www.ars-grin.gov/","identifier":2078,"description":"GRIN provides National Genetic Resources Program (NGRP) personnel and germplasm users continuous access to databases for the maintenance of passport, characterization, evaluation, inventory, and distribution data important for the effective management and utilization of national germplasm collections.","abbreviation":"GRIN","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ars-grin.gov/Pages/Collections","name":"About Collections","type":"Help documentation"}],"year_creation":2010,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000546","bsg-d000546"],"name":"FAIRsharing record for: Germplasm Resources Information Network","abbreviation":"GRIN","url":"https://fairsharing.org/10.25504/FAIRsharing.3axym7","doi":"10.25504/FAIRsharing.3axym7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GRIN provides National Genetic Resources Program (NGRP) personnel and germplasm users continuous access to databases for the maintenance of passport, characterization, evaluation, inventory, and distribution data important for the effective management and utilization of national germplasm collections.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15728}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Cell","Cell culture","Germplasm"],"taxonomies":["Bacteria","Metazoa","Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1589,"fairsharing_record_id":2078,"organisation_id":2939,"relation":"maintains","created_at":"2021-09-30T09:25:12.795Z","updated_at":"2021-09-30T09:25:12.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2079","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T07:55:04.768Z","metadata":{"doi":"10.25504/FAIRsharing.rbjs3e","name":"Compulyeast","status":"deprecated","contacts":[{"contact_email":"vital@farm.ucm.es"}],"homepage":"http://compluyeast2dpage.dacya.ucm.es","citations":[],"identifier":2079,"description":"Compluyeast-2D-DB is a two-dimensional polyacrylamide gel electrophoresis federated database. This collection references a subset of Uniprot, and contains general information about the protein record.","abbreviation":"Compulyeast","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://compluyeast2dpage.dacya.ucm.es/cgi-bin/2d/2d.cgi","name":"search"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000547","bsg-d000547"],"name":"FAIRsharing record for: Compulyeast","abbreviation":"Compulyeast","url":"https://fairsharing.org/10.25504/FAIRsharing.rbjs3e","doi":"10.25504/FAIRsharing.rbjs3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Compluyeast-2D-DB is a two-dimensional polyacrylamide gel electrophoresis federated database. This collection references a subset of Uniprot, and contains general information about the protein record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Protein"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1901,"relation":"undefined"}],"grants":[{"id":1590,"fairsharing_record_id":2079,"organisation_id":2963,"relation":"maintains","created_at":"2021-09-30T09:25:12.827Z","updated_at":"2021-09-30T09:25:12.827Z","grant_id":null,"is_lead":false,"saved_state":{"id":2963,"name":"Universidad Complutense Madrid","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2072","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:40.055Z","metadata":{"doi":"10.25504/FAIRsharing.zcn4w4","name":"TreeBase","status":"ready","contacts":[{"contact_name":"Rutger Vos","contact_email":"rutger.vos@naturalis.nl"}],"homepage":"https://www.treebase.org","citations":[],"identifier":2072,"description":"TreeBASE is a repository of phylogenetic information, specifically user-submitted phylogenetic trees and the data used to generate them. TreeBASE accepts all types of phylogenetic data (e.g., trees of species, trees of populations, trees of genes) representing all biotic taxa. TreeBASE is temporarily offline except to provide access to editors/curators, as security updates are required before re-publishing the site.","abbreviation":"TreeBase","data_curation":{"url":"https://www.treebase.org/treebase-web/submitTutorial.html","type":"automated","notes":"TreeBASE uses Mesquite to parse incoming dat"},"support_links":[{"url":"help@treebase.org","name":"General Contact","type":"Support email"},{"url":"https://github.com/TreeBASE/treebase/issues","name":"GitHub Issues","type":"Github"},{"url":"https://en.wikipedia.org/wiki/TreeBASE","name":"Wikipedia","type":"Wikipedia"},{"url":"https://sourceforge.net/p/treebase/mailman/attachment/7D0BFEBA-1F7E-4F7A-A0EE-5949564900C6@yale.edu/1/","name":"TreeBASE v2: A Database of Phylogenetic Knowledge","type":"Help documentation"},{"url":"http://treebase.org/treebase-web/technology.html","name":"TreeBASE Infrastructure","type":"Help documentation"},{"url":"http://phylodiversity.net/donoghue/publications/MJD_papers/2002/124_Piel_Shimura02.pdf","name":"TreeBASE: A database of phylogenetic information.","type":"Help documentation"},{"url":"http://treebase.org/treebase-web/submitTutorial.html","name":"Submission Documentation","type":"Training documentation"},{"url":"https://twitter.com/treebase","name":"@treebase","type":"Twitter"}],"year_creation":1994,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010170","name":"re3data:r3d100010170","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005688","name":"SciCrunch:RRID:SCR_005688","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.treebase.org/treebase-web/dataMan.html","name":"Data Persistence"},"data_deposition_condition":{"url":"https://www.treebase.org/treebase-web/submitTutorial.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000539","bsg-d000539"],"name":"FAIRsharing record for: TreeBase","abbreviation":"TreeBase","url":"https://fairsharing.org/10.25504/FAIRsharing.zcn4w4","doi":"10.25504/FAIRsharing.zcn4w4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TreeBASE is a repository of phylogenetic information, specifically user-submitted phylogenetic trees and the data used to generate them. TreeBASE accepts all types of phylogenetic data (e.g., trees of species, trees of populations, trees of genes) representing all biotic taxa. TreeBASE is temporarily offline except to provide access to editors/curators, as security updates are required before re-publishing the site.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10964}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Phylogenetics","Phylogenomics"],"domains":["Taxonomic classification","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands","United States"],"publications":[{"id":1468,"pubmed_id":19426482,"title":"Improved data retrieval from TreeBASE via taxonomic and linguistic data enrichment.","year":2009,"url":"http://doi.org/10.1186/1471-2148-9-93","authors":"Anwar N., Hunt E.,","journal":"BMC Evol. Biol.","doi":"10.1186/1471-2148-9-93","created_at":"2021-09-30T08:25:04.360Z","updated_at":"2021-09-30T08:25:04.360Z"}],"licence_links":[],"grants":[{"id":1572,"fairsharing_record_id":2072,"organisation_id":2094,"relation":"maintains","created_at":"2021-09-30T09:25:12.014Z","updated_at":"2021-09-30T09:25:12.014Z","grant_id":null,"is_lead":true,"saved_state":{"id":2094,"name":"Naturalis Biodiversity Center","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1574,"fairsharing_record_id":2072,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:12.097Z","updated_at":"2021-09-30T09:25:12.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1573,"fairsharing_record_id":2072,"organisation_id":628,"relation":"funds","created_at":"2021-09-30T09:25:12.056Z","updated_at":"2021-09-30T09:30:59.082Z","grant_id":964,"is_lead":false,"saved_state":{"id":628,"name":"Cyberinfrastructure for Phylogenetic Research","grant":"NSF EF 0331654","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2073","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:56.313Z","metadata":{"doi":"10.25504/FAIRsharing.da6cny","name":"ExplorEnz","status":"ready","contacts":[{"contact_name":"Andrew G. McDonald","contact_email":"amcdonld@tcd.ie","contact_orcid":"0000-0003-2727-176X"}],"homepage":"http://www.enzyme-database.org","identifier":2073,"description":"The Enzyme Database was developed as a new way to access the data of the IUBMB Enzyme Nomenclature List. The data, which are stored in a MySQL database, preserve the formatting of chemical names according to IUPAC standards.","abbreviation":"ExplorEnz","data_curation":{"url":"https://www.enzyme-database.org/about.php","type":"manual"},"support_links":[{"url":"http://www.enzyme-database.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.enzyme-database.org/quickstart.php","type":"Help documentation"},{"url":"http://www.enzyme-database.org/nomenclature.php","type":"Help documentation"},{"url":"http://www.enzyme-database.org/advice.php","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.enzyme-database.org/newform.php","type":"controlled","notes":"New enzymes undergo a two-month public-review process before being incorporated into the official Enzyme List."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000540","bsg-d000540"],"name":"FAIRsharing record for: ExplorEnz","abbreviation":"ExplorEnz","url":"https://fairsharing.org/10.25504/FAIRsharing.da6cny","doi":"10.25504/FAIRsharing.da6cny","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Enzyme Database was developed as a new way to access the data of the IUBMB Enzyme Nomenclature List. The data, which are stored in a MySQL database, preserve the formatting of chemical names according to IUPAC standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Ireland","Worldwide"],"publications":[{"id":1083,"pubmed_id":18776214,"title":"ExplorEnz: the primary source of the IUBMB enzyme list.","year":2008,"url":"http://doi.org/10.1093/nar/gkn582","authors":"McDonald AG., Boyce S., Tipton KF.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn582","created_at":"2021-09-30T08:24:19.998Z","updated_at":"2021-09-30T08:24:19.998Z"}],"licence_links":[{"licence_name":"ExplorEnz Attribution required","licence_id":306,"licence_url":"https://www.enzyme-database.org/","link_id":987,"relation":"undefined"}],"grants":[{"id":1575,"fairsharing_record_id":2073,"organisation_id":2874,"relation":"maintains","created_at":"2021-09-30T09:25:12.191Z","updated_at":"2021-09-30T09:25:12.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":2874,"name":"Trinity College Dublin, Ireland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2074","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:34.976Z","metadata":{"doi":"10.25504/FAIRsharing.9s300d","name":"Type 1 Diabetes Database","status":"deprecated","contacts":[{"contact_name":"John Todd","contact_email":"john.todd@cimr.cam.ac.uk","contact_orcid":"0000-0003-2740-8148"}],"homepage":"http://t1dbase.org/","identifier":2074,"description":"T1DBase focuses on two research areas in type 1 diabetes (T1D): the genetics of T1D susceptibility and beta cell biology.","abbreviation":"T1DBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.t1dbase.org/page/ContactFormPopup/display/","type":"Contact form"},{"url":"t1dbase-feedback@cimr.cam.ac.uk","type":"Support email"},{"url":"http://www.t1dbase.org/page/FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.t1dbase.org/page/WebsiteTutorial","type":"Training documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://www.t1dbase.org/page/AtlasHome","name":"Beta Cell Gene Atlas Home"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000541","bsg-d000541"],"name":"FAIRsharing record for: Type 1 Diabetes Database","abbreviation":"T1DBase","url":"https://fairsharing.org/10.25504/FAIRsharing.9s300d","doi":"10.25504/FAIRsharing.9s300d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: T1DBase focuses on two research areas in type 1 diabetes (T1D): the genetics of T1D susceptibility and beta cell biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Biomedical Science"],"domains":["Disease","Gene","Diabetes mellitus"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":517,"pubmed_id":20937630,"title":"T1DBase: update 2011, organization and presentation of large-scale data sets for type 1 diabetes research.","year":2010,"url":"http://doi.org/10.1093/nar/gkq912","authors":"Burren OS., Adlem EC., Achuthan P., Christensen M., Coulson RM., Todd JA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq912","created_at":"2021-09-30T08:23:16.417Z","updated_at":"2021-09-30T08:23:16.417Z"},{"id":1501,"pubmed_id":15608258,"title":"T1DBase, a community web-based resource for type 1 diabetes research.","year":2004,"url":"http://doi.org/10.1093/nar/gki095","authors":"Smink LJ,Helton EM,Healy BC,Cavnor CC,Lam AC,Flamez D,Burren OS,Wang Y,Dolman GE,Burdick DB,Everett VH,Glusman G,Laneri D,Rowen L,Schuilenburg H,Walker NM,Mychaleckyj J,Wicker LS,Eizirik DL,Todd JA,Goodman N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki095","created_at":"2021-09-30T08:25:08.065Z","updated_at":"2021-09-30T11:29:11.368Z"},{"id":1502,"pubmed_id":17169983,"title":"T1DBase: integration and presentation of complex data for type 1 diabetes research.","year":2006,"url":"http://doi.org/10.1093/nar/gkl933","authors":"Hulbert EM,Smink LJ,Adlem EC,Allen JE,Burdick DB,Burren OS,Cassen VM,Cavnor CC,Dolman GE,Flamez D,Friery KF,Healy BC,Killcoyne SA,Kutlu B,Schuilenburg H,Walker NM,Mychaleckyj J,Eizirik DL,Wicker LS,Todd JA,Goodman N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl933","created_at":"2021-09-30T08:25:08.165Z","updated_at":"2021-09-30T11:29:11.459Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":717,"relation":"undefined"}],"grants":[{"id":1576,"fairsharing_record_id":2074,"organisation_id":2880,"relation":"maintains","created_at":"2021-09-30T09:25:12.227Z","updated_at":"2021-09-30T09:25:12.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":2880,"name":"Type 1 Diabetes Genetics Consortium","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2075","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:12:37.394Z","metadata":{"doi":"10.25504/FAIRsharing.zf8s5t","name":"The Signaling Gateway","status":"deprecated","contacts":[{"contact_name":"Shankar Subramaniam","contact_email":"shankar@sdsc.edu"},{"contact_name":"General Contact","contact_email":"webmaster@signaling-gateway.org","contact_orcid":null}],"homepage":"http://www.signaling-gateway.org","citations":[],"identifier":2075,"description":"The UCSD Signaling Gateway Molecule Pages provides information on the proteins involved in cell signaling. This database combines expert authored reviews with curated, highly-structured data (e.g. protein interactions) and automatic annotation from publicly available data sources (e.g. UniProt and Genbank). ","abbreviation":null,"data_curation":{"url":"http://www.signaling-gateway.org/molecule/jsp/molpage/aboutus.jsp","type":"manual/automated"},"support_links":[],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011690","name":"re3data:r3d100011690","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006907","name":"SciCrunch:RRID:SCR_006907","portal":"SciCrunch"}],"deprecation_date":"2022-06-13","deprecation_reason":"This resource's homepage is not available, and we have not been able to get in touch with the developers. Please let us know if you have information regarding this resource.","data_access_condition":{"url":"http://www.signaling-gateway.org/molecule/jsp/molpage/aboutus.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000542","bsg-d000542"],"name":"FAIRsharing record for: The Signaling Gateway","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zf8s5t","doi":"10.25504/FAIRsharing.zf8s5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UCSD Signaling Gateway Molecule Pages provides information on the proteins involved in cell signaling. This database combines expert authored reviews with curated, highly-structured data (e.g. protein interactions) and automatic annotation from publicly available data sources (e.g. UniProt and Genbank). ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cell Biology"],"domains":["Signaling","Molecular interaction","Small molecule","Protein"],"taxonomies":["Bos taurus","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":512,"pubmed_id":17965093,"title":"The Molecule Pages database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm907","authors":"Saunders B., Lyon S., Day M., Riley B., Chenette E., Subramaniam S., Vadivelu I.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm907","created_at":"2021-09-30T08:23:15.883Z","updated_at":"2021-09-30T08:23:15.883Z"},{"id":1495,"pubmed_id":21505029,"title":"Signaling gateway molecule pages--a data model perspective.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr190","authors":"Dinasarapu AR., Saunders B., Ozerlat I., Azam K., Subramaniam S.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr190","created_at":"2021-09-30T08:25:07.470Z","updated_at":"2021-09-30T08:25:07.470Z"}],"licence_links":[],"grants":[{"id":1577,"fairsharing_record_id":2075,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:12.264Z","updated_at":"2021-09-30T09:32:10.113Z","grant_id":1498,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM078005-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1579,"fairsharing_record_id":2075,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:25:12.348Z","updated_at":"2022-01-11T13:51:35.252Z","grant_id":null,"is_lead":true,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2076","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:31.961Z","metadata":{"doi":"10.25504/FAIRsharing.kz6vpp","name":"Domain mapping of disease mutations","status":"deprecated","contacts":[{"contact_name":"Maricel Kann","contact_email":"DMDM_info@umbc.edu"}],"homepage":"http://bioinf.umbc.edu/dmdm/","identifier":2076,"description":"Domain mapping of disease mutations (DMDM) is a database in which each disease mutation can be displayed by its gene, protein or domain location.","abbreviation":"DMDM","data_curation":{"type":"not found"},"year_creation":2009,"data_versioning":"not found","deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000543","bsg-d000543"],"name":"FAIRsharing record for: Domain mapping of disease mutations","abbreviation":"DMDM","url":"https://fairsharing.org/10.25504/FAIRsharing.kz6vpp","doi":"10.25504/FAIRsharing.kz6vpp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Domain mapping of disease mutations (DMDM) is a database in which each disease mutation can be displayed by its gene, protein or domain location.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12686}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Hidden Markov model","Protein domain","Mutation analysis","Disease","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":522,"pubmed_id":20685956,"title":"DMDM: domain mapping of disease mutations.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq447","authors":"Peterson TA., Adadey A., Santana-Cruz I., Sun Y., Winder A., Kann MG.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq447","created_at":"2021-09-30T08:23:16.959Z","updated_at":"2021-09-30T08:23:16.959Z"}],"licence_links":[{"licence_name":"DMDM Attribution required","licence_id":248,"licence_url":"http://bioinf.umbc.edu/dmdm/","link_id":679,"relation":"undefined"}],"grants":[{"id":1580,"fairsharing_record_id":2076,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:25:12.388Z","updated_at":"2021-09-30T09:25:12.388Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1581,"fairsharing_record_id":2076,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:12.427Z","updated_at":"2021-09-30T09:30:03.038Z","grant_id":530,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1K22CA143148","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8074,"fairsharing_record_id":2076,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:47.196Z","updated_at":"2021-09-30T09:30:47.245Z","grant_id":870,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01LM009722","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2053","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:01.019Z","metadata":{"doi":"10.25504/FAIRsharing.rb2drw","name":"InnateDB","status":"ready","contacts":[{"contact_name":"David Lynn","contact_email":"David.Lynn@sahmri.com"}],"homepage":"http://www.innatedb.com/","citations":[],"identifier":2053,"description":"InnateDB has been developed to facilitate systems level investigations of the mammalian (human, mouse and bovine) innate immune response. Its goal is to provide a manually-curated knowledgebase of the genes, proteins, and particularly, the interactions and signaling responses involved in mammalian innate immunity. InnateDB incorporates information of the whole human, mouse and bovine interactomes by integrating interaction and pathway information from several of the major publicly available databases but aims to capture an improved coverage of the innate immunity interactome through manual curation.","abbreviation":"InnateDB","data_curation":{"url":"http://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"manual"},"support_links":[{"url":"https://www.innatedb.com/news.jsp","name":"News","type":"Blog/News"},{"url":"innatedb-mail@sfu.ca","type":"Support email"},{"url":"http://www.innatedb.com/redirect.do?go=helpfaq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.innatedb.com/redirect.do?go=helpgeneral","type":"Help documentation"},{"url":"https://twitter.com/innatedb","type":"Twitter"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://www.innatedb.com/redirect.do?go=batchPw","name":"analyze"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010676","name":"re3data:r3d100010676","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006714","name":"SciCrunch:RRID:SCR_006714","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000520","bsg-d000520"],"name":"FAIRsharing record for: InnateDB","abbreviation":"InnateDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rb2drw","doi":"10.25504/FAIRsharing.rb2drw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InnateDB has been developed to facilitate systems level investigations of the mammalian (human, mouse and bovine) innate immune response. Its goal is to provide a manually-curated knowledgebase of the genes, proteins, and particularly, the interactions and signaling responses involved in mammalian innate immunity. InnateDB incorporates information of the whole human, mouse and bovine interactomes by integrating interaction and pathway information from several of the major publicly available databases but aims to capture an improved coverage of the innate immunity interactome through manual curation.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11214},{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11248}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunology","Life Science"],"domains":["Protein interaction","Interactome","Molecular interaction","Immunity","Curated information","Protein","Pathway model"],"taxonomies":["Bos taurus","Homo sapiens","Mammalia","Mus musculus"],"user_defined_tags":[],"countries":["Australia","Canada","Ireland"],"publications":[{"id":596,"pubmed_id":23180781,"title":"InnateDB: systems biology of innate immunity and beyond--recent updates and continuing curation.","year":2012,"url":"http://doi.org/10.1093/nar/gks1147","authors":"Breuer K., Foroushani AK., Laird MR., Chen C., Sribnaia A., Lo R., Winsor GL., Hancock RE., Brinkman FS., Lynn DJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1147","created_at":"2021-09-30T08:23:25.387Z","updated_at":"2021-09-30T08:23:25.387Z"}],"licence_links":[{"licence_name":"InnateDB attribution required","licence_id":442,"licence_url":"https://www.innatedb.com/","link_id":1193,"relation":"undefined"}],"grants":[{"id":1518,"fairsharing_record_id":2053,"organisation_id":1737,"relation":"maintains","created_at":"2021-09-30T09:25:09.815Z","updated_at":"2021-09-30T09:25:09.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":1737,"name":"Lynn Group, EMBL Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1521,"fairsharing_record_id":2053,"organisation_id":1044,"relation":"funds","created_at":"2021-09-30T09:25:09.940Z","updated_at":"2021-09-30T09:25:09.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1044,"name":"Foundation for the National Institutes of Health (FNIH), Bethesda, MD, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1519,"fairsharing_record_id":2053,"organisation_id":1018,"relation":"maintains","created_at":"2021-09-30T09:25:09.839Z","updated_at":"2021-09-30T09:25:09.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1018,"name":"Fiona Brinkman Laboratory, Simon Fraser University, Greater Vancouver, BC, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1524,"fairsharing_record_id":2053,"organisation_id":940,"relation":"funds","created_at":"2021-09-30T09:25:10.015Z","updated_at":"2021-09-30T09:25:10.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":940,"name":"European Molecular Biology Laboratory, Australia","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1525,"fairsharing_record_id":2053,"organisation_id":1209,"relation":"maintains","created_at":"2021-09-30T09:25:10.046Z","updated_at":"2021-09-30T09:25:10.046Z","grant_id":null,"is_lead":false,"saved_state":{"id":1209,"name":"Hancock Laboratory, University of British Columbia, Vancouver, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1520,"fairsharing_record_id":2053,"organisation_id":61,"relation":"funds","created_at":"2021-09-30T09:25:09.864Z","updated_at":"2021-09-30T09:28:59.252Z","grant_id":43,"is_lead":false,"saved_state":{"id":61,"name":"Allergan","grant":"12ASI1","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":8065,"fairsharing_record_id":2053,"organisation_id":61,"relation":"funds","created_at":"2021-09-30T09:30:44.570Z","updated_at":"2021-09-30T09:30:44.620Z","grant_id":848,"is_lead":false,"saved_state":{"id":61,"name":"Allergan","grant":"12B\u0026B2","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":11523,"fairsharing_record_id":2053,"organisation_id":1316,"relation":"undefined","created_at":"2024-03-21T13:58:00.692Z","updated_at":"2024-03-21T13:58:00.692Z","grant_id":null,"is_lead":false,"saved_state":{"id":1316,"name":"IMex Consortium","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":9179,"fairsharing_record_id":2053,"organisation_id":359,"relation":"funds","created_at":"2022-04-11T12:07:19.829Z","updated_at":"2022-04-11T12:07:19.850Z","grant_id":1506,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","grant":"419","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2054","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:46.226Z","metadata":{"doi":"10.25504/FAIRsharing.65dmtr","name":"EcoCyc E. coli Database","status":"ready","contacts":[{"contact_name":"BioCyc Support","contact_email":"biocyc-support@ai.sri.com"}],"homepage":"https://ecocyc.org/","citations":[],"identifier":2054,"description":"EcoCyc is a model organism database for Escherichia coli K-12 MG1655. EcoCyc curation captures literature-based information on the functions of individual E. coli gene products, metabolic pathways, and regulation of E. coli gene expression. EcoCyc has been curated from 42,000 publications as of 2022. Updates to EcoCyc content continue to improve its comprehensive picture of E. coli biology. The utility of EcoCyc is enhanced by new tools available on the EcoCyc web site, and the development of EcoCyc as a teaching tool is increasing the impact of the knowledge collected in EcoCyc.","abbreviation":"EcoCyc","data_curation":{"url":"https://ecocyc.org/PToolsWebsiteHowto.shtml","type":"manual/automated"},"support_links":[{"url":"https://ecocyc.org/PToolsWebsiteHowto.shtml","name":"EcoCyc User Guide","type":"Help documentation"}],"data_versioning":"no","associated_tools":[{"url":"https://ecocyc.org/ECOLI/blast.html","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011277","name":"re3data:r3d100011277","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002433","name":"SciCrunch:RRID:SCR_002433","portal":"SciCrunch"}],"data_access_condition":{"url":"https://ecocyc.org/intro.shtml","type":"open","notes":"The EcoCyc and MetaCyc databases are freely available to all users because their curation is supported by NIH funding. The other BioCyc databases are available via subscription, which supports their curation"},"resource_sustainability":{"url":"https://ecocyc.org/funding.shtml","name":"BioCyc Funding Sources"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ecocyc.org/intro.shtml","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000521","bsg-d000521"],"name":"FAIRsharing record for: EcoCyc E. coli Database","abbreviation":"EcoCyc","url":"https://fairsharing.org/10.25504/FAIRsharing.65dmtr","doi":"10.25504/FAIRsharing.65dmtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EcoCyc is a model organism database for Escherichia coli K-12 MG1655. EcoCyc curation captures literature-based information on the functions of individual E. coli gene products, metabolic pathways, and regulation of E. coli gene expression. EcoCyc has been curated from 42,000 publications as of 2022. Updates to EcoCyc content continue to improve its comprehensive picture of E. coli biology. The utility of EcoCyc is enhanced by new tools available on the EcoCyc web site, and the development of EcoCyc as a teaching tool is increasing the impact of the knowledge collected in EcoCyc.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16206}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Gene expression","Regulation of gene expression","Regulation of post-translational protein modification","Publication","Molecular interaction","Enzyme","Protein","Pathway model","Genome"],"taxonomies":["Escherichia coli"],"user_defined_tags":["Allosteric regulation"],"countries":["United States"],"publications":[{"id":2137,"pubmed_id":23143106,"title":"EcoCyc: fusing model organism databases with systems biology.","year":2012,"url":"http://doi.org/10.1093/nar/gks1027","authors":"Keseler IM., Mackie A., Peralta-Gil M. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1027","created_at":"2021-09-30T08:26:20.933Z","updated_at":"2021-09-30T08:26:20.933Z"},{"id":2180,"pubmed_id":27899573,"title":"The EcoCyc database: reflecting new knowledge about Escherichia coli K-12.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1003","authors":"Keseler IM,Mackie A,Santos-Zavaleta A et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1003","created_at":"2021-09-30T08:26:25.789Z","updated_at":"2021-09-30T11:29:30.703Z"},{"id":2590,"pubmed_id":26442933,"title":"The EcoCyc Database.","year":2014,"url":"http://doi.org/10.1128/ecosalplus.ESP-0009-2013","authors":"Karp PD,Weaver D,Paley S et al.","journal":"EcoSal Plus","doi":"10.1128/ecosalplus.ESP-0009-2013","created_at":"2021-09-30T08:27:17.817Z","updated_at":"2021-09-30T08:27:17.817Z"},{"id":3485,"pubmed_id":34394059,"title":"The EcoCyc Database in 2021.","year":2021,"url":"https://doi.org/10.3389/fmicb.2021.711077","authors":"Keseler IM, Gama-Castro S, Mackie A, Billington R, Bonavides-Martínez C, Caspi R, Kothari A, Krummenacker M, Midford PE, Muñiz-Rascado L, Ong WK, Paley S, Santos-Zavaleta A, Subhraveti P, Tierrafría VH, Wolfe AJ, Collado-Vides J, Paulsen IT, Karp PD","journal":"Frontiers in microbiology","doi":"10.3389/fmicb.2021.711077","created_at":"2022-07-21T15:54:00.716Z","updated_at":"2022-07-21T15:54:00.716Z"}],"licence_links":[{"licence_name":"BioCyc Database License","licence_id":78,"licence_url":"https://biocyc.org/download-flatfiles.shtml","link_id":1445,"relation":"undefined"}],"grants":[{"id":1526,"fairsharing_record_id":2054,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:25:10.085Z","updated_at":"2021-09-30T09:25:10.085Z","grant_id":null,"is_lead":true,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbHdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--be0e7de8ba48d4b5f360325b3438c44eee65d3a9/ecocyc.png?disposition=inline","exhaustive_licences":false}},{"id":"2055","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-10T11:50:56.396Z","metadata":{"doi":"10.25504/FAIRsharing.zaa7w","name":"HumanCyc","status":"ready","contacts":[{"contact_name":"Peter Karp","contact_email":"pkarp@ai.sri.com","contact_orcid":"0000-0002-5876-6418"}],"homepage":"https://www.humancyc.org/","citations":[],"identifier":2055,"description":"HumanCyc is a bioinformatics database that describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iubmb/enzyme/","name":"Recommendations of the Nomenclature Committee of the IUBMB","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Enzyme_Commission_number","name":"EC Number","type":"Wikipedia"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"https://humancyc.org/HUMAN/blast.html?refdb=ALL","name":"BLAST HumanCyc"},{"url":"https://bioinformatics.ai.sri.com/ptools/ptools-features.shtml","name":"Pathway Tools"},{"url":"https://humancyc.org/metabolite-translation-service.shtml","name":"Metabolite Translation Service"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011286","name":"re3data:r3d100011286","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007050","name":"SciCrunch:RRID:SCR_007050","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://biocyc.org/PToolsWebsiteHowto.shtml?sid=biocyc15-3898332490#TAG:__tex2page_sec_4","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000522","bsg-d000522"],"name":"FAIRsharing record for: HumanCyc","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zaa7w","doi":"10.25504/FAIRsharing.zaa7w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HumanCyc is a bioinformatics database that describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Endocrinology","Genomics","Proteomics","Life Science","Metabolomics","Systems Biology"],"domains":["Reaction data","Omics data analysis","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":499,"pubmed_id":15642094,"title":"Computational prediction of human metabolic pathways from the complete human genome.","year":2005,"url":"http://doi.org/10.1186/gb-2004-6-1-r2","authors":"Romero P., Wagg J., Green ML., Kaiser D., Krummenacker M., Karp PD.,","journal":"Genome Biol.","doi":"10.1186/gb-2004-6-1-r2","created_at":"2021-09-30T08:23:14.201Z","updated_at":"2021-09-30T08:23:14.201Z"},{"id":4314,"pubmed_id":null,"title":"The BioCyc collection of microbial genomes and metabolic pathways","year":2017,"url":"http://dx.doi.org/10.1093/bib/bbx085","authors":"Karp, Peter D; Billington, Richard; Caspi, Ron; Fulcher, Carol A; Latendresse, Mario; Kothari, Anamika; Keseler, Ingrid M; Krummenacker, Markus; Midford, Peter E; Ong, Quang; Ong, Wai Kit; Paley, Suzanne M; Subhraveti, Pallavi; ","journal":"Briefings in Bioinformatics","doi":"10.1093/bib/bbx085","created_at":"2024-07-10T11:48:20.725Z","updated_at":"2024-07-10T11:48:20.725Z"}],"licence_links":[{"licence_name":"BioCyc Individual Subscription Licence Terms","licence_id":1113,"licence_url":"https://biocyc.org/subscription-terms.txt","link_id":3683,"relation":"applies_to_content"}],"grants":[{"id":1529,"fairsharing_record_id":2055,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:25:10.196Z","updated_at":"2021-09-30T09:25:10.196Z","grant_id":null,"is_lead":true,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1527,"fairsharing_record_id":2055,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:10.117Z","updated_at":"2021-09-30T09:29:15.029Z","grant_id":158,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01-GM65466-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1530,"fairsharing_record_id":2055,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.239Z","updated_at":"2021-09-30T09:32:23.971Z","grant_id":1602,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-HG02729-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9396,"fairsharing_record_id":2055,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.577Z","updated_at":"2022-04-11T12:07:35.593Z","grant_id":518,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-FG03-01ER63219","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2051","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:34.574Z","metadata":{"doi":"10.25504/FAIRsharing.z1czxj","name":"PeroxiBase","status":"ready","contacts":[{"contact_name":"Christophe Dunand","contact_email":"dunand@lrsv.ups-tlse.fr","contact_orcid":"0000-0003-1637-4042"}],"homepage":"http://peroxibase.toulouse.inra.fr/","citations":[],"identifier":2051,"description":"Peroxibase provides access to peroxidase sequences from all kingdoms of life, and provides a series of bioinformatics tools and facilities suitable for analysing these sequences.","abbreviation":"PeroxiBase","data_curation":{"url":"http://peroxibase.toulouse.inra.fr/infos/annotations.php","type":"automated"},"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://peroxibase.toulouse.inra.fr/tools/blast.php","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000518","bsg-d000518"],"name":"FAIRsharing record for: PeroxiBase","abbreviation":"PeroxiBase","url":"https://fairsharing.org/10.25504/FAIRsharing.z1czxj","doi":"10.25504/FAIRsharing.z1czxj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Peroxibase provides access to peroxidase sequences from all kingdoms of life, and provides a series of bioinformatics tools and facilities suitable for analysing these sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence annotation","Biological regulation","Enzyme","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":92,"pubmed_id":23180785,"title":"PeroxiBase: a database for large-scale evolutionary analysis of peroxidases.","year":2012,"url":"http://doi.org/10.1093/nar/gks1083","authors":"Fawal N., Li Q., Savelli B., Brette M., Passaia G., Fabre M., Mathé C., Dunand C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1083","created_at":"2021-09-30T08:22:30.463Z","updated_at":"2021-09-30T08:22:30.463Z"},{"id":863,"pubmed_id":19112168,"title":"PeroxiBase: a powerful tool to collect and analyse peroxidase sequences from Viridiplantae.","year":2008,"url":"http://doi.org/10.1093/jxb/ern317","authors":"Oliva M., Theiler G., Zamocky M., Koua D., Margis-Pinheiro M., Passardi F., Dunand C.,","journal":"J. Exp. Bot.","doi":"10.1093/jxb/ern317","created_at":"2021-09-30T08:23:55.338Z","updated_at":"2021-09-30T08:23:55.338Z"}],"licence_links":[{"licence_name":"PeroxiBase Attribution required","licence_id":657,"licence_url":"https://peroxibase.toulouse.inra.fr/infos/publications","link_id":988,"relation":"undefined"}],"grants":[{"id":1515,"fairsharing_record_id":2051,"organisation_id":1665,"relation":"funds","created_at":"2021-09-30T09:25:09.725Z","updated_at":"2021-09-30T09:25:09.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":1665,"name":"Laboratoire de Recherche en Sciences Vegetales (LRSV), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":1514,"fairsharing_record_id":2051,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:25:09.687Z","updated_at":"2021-09-30T09:25:09.687Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1516,"fairsharing_record_id":2051,"organisation_id":1120,"relation":"funds","created_at":"2021-09-30T09:25:09.762Z","updated_at":"2021-09-30T09:25:09.762Z","grant_id":null,"is_lead":false,"saved_state":{"id":1120,"name":"GenoToul Bioinformatics, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2083","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:44.864Z","metadata":{"doi":"10.25504/FAIRsharing.kexkq9","name":"CarpeDB","status":"ready","contacts":[{"contact_name":"Bryan Herren","contact_email":"carpedb@bama.ua.edu"}],"homepage":"http://www.carpedb.ua.edu","identifier":2083,"description":"CarpeDB serves as a novel source for epilepsy researchers by featuring scores of \"epilepsy genes\" and associated publications in one locus. Furthermore, multiple genes implicated in epilepsy are also implicated in other human disorders.","abbreviation":"CarpeDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://carpedb.ua.edu/searchinstruct.cfm","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"http://carpedb.ua.edu/","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000551","bsg-d000551"],"name":"FAIRsharing record for: CarpeDB","abbreviation":"CarpeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.kexkq9","doi":"10.25504/FAIRsharing.kexkq9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CarpeDB serves as a novel source for epilepsy researchers by featuring scores of \"epilepsy genes\" and associated publications in one locus. Furthermore, multiple genes implicated in epilepsy are also implicated in other human disorders.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Epilepsy","Publication","Disorder","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":722,"relation":"undefined"}],"grants":[{"id":1603,"fairsharing_record_id":2083,"organisation_id":3010,"relation":"maintains","created_at":"2021-09-30T09:25:13.350Z","updated_at":"2021-09-30T09:25:13.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":3010,"name":"University of Alabama, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2081","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T15:45:53.077Z","metadata":{"doi":"10.25504/FAIRsharing.5tfcy8","name":"A CLAssification of Mobile genetic Elements","status":"deprecated","contacts":[{"contact_email":"raphael@bigre.ulb.ac.be"}],"homepage":"http://aclame.ulb.ac.be/","citations":[],"identifier":2081,"description":"ACLAME is a database dedicated to the collection and classification of mobile genetic elements (MGEs) from various sources, comprising all known phage genomes, plasmids and transposons.","abbreviation":"ACLAME","data_curation":{"type":"not found"},"support_links":[{"url":"http://aclame.ulb.ac.be/Classification/description.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://aclame.ulb.ac.be/perl/Aclame/show_cluster.cgi?mode=list","name":"browse"},{"url":"http://aclame.ulb.ac.be/Tools/blast.html","name":"BLAST"},{"url":"http://aclame.ulb.ac.be/Tools/Prophinder/","name":"Prophinder"}],"deprecation_date":"2023-03-20","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000549","bsg-d000549"],"name":"FAIRsharing record for: A CLAssification of Mobile genetic Elements","abbreviation":"ACLAME","url":"https://fairsharing.org/10.25504/FAIRsharing.5tfcy8","doi":"10.25504/FAIRsharing.5tfcy8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ACLAME is a database dedicated to the collection and classification of mobile genetic elements (MGEs) from various sources, comprising all known phage genomes, plasmids and transposons.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene","Genome"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1371,"pubmed_id":14681355,"title":"ACLAME: a CLAssification of Mobile genetic Elements.","year":2003,"url":"http://doi.org/10.1093/nar/gkh084","authors":"Leplae R., Hebrant A., Wodak SJ., Toussaint A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh084","created_at":"2021-09-30T08:24:53.350Z","updated_at":"2021-09-30T08:24:53.350Z"},{"id":1373,"pubmed_id":19933762,"title":"ACLAME: a CLAssification of Mobile genetic Elements, update 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp938","authors":"Leplae R., Lima-Mendez G., Toussaint A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp938","created_at":"2021-09-30T08:24:53.576Z","updated_at":"2021-09-30T08:24:53.576Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":720,"relation":"undefined"}],"grants":[{"id":1593,"fairsharing_record_id":2081,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:12.944Z","updated_at":"2021-09-30T09:25:12.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1594,"fairsharing_record_id":2081,"organisation_id":1031,"relation":"funds","created_at":"2021-09-30T09:25:12.981Z","updated_at":"2021-09-30T09:25:12.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":1031,"name":"Fonds De La Recherche Scientifique (FNRS), France","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1596,"fairsharing_record_id":2081,"organisation_id":2993,"relation":"maintains","created_at":"2021-09-30T09:25:13.052Z","updated_at":"2021-09-30T09:25:13.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2993,"name":"Universite Libre de Bruxelles","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1595,"fairsharing_record_id":2081,"organisation_id":957,"relation":"funds","created_at":"2021-09-30T09:25:13.019Z","updated_at":"2021-09-30T09:32:22.388Z","grant_id":1589,"is_lead":false,"saved_state":{"id":957,"name":"European Space Agency","grant":"C90254","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2084","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:15.286Z","metadata":{"doi":"10.25504/FAIRsharing.sye5js","name":"The Human Metabolome Database","status":"ready","contacts":[{"contact_email":"david.wishart@ualberta.ca"}],"homepage":"https://hmdb.ca/","citations":[],"identifier":2084,"description":"The Human Metabolome Database (HMDB) is a freely available electronic database containing detailed information about small molecule metabolites found in the human body. It is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. The database is designed to contain or link three kinds of data: 1) chemical data, 2) clinical data, and 3) molecular biology/biochemistry data. The database contains 220,945 metabolite entries including both water-soluble and lipid soluble metabolites. Additionally, 8,610 protein sequences (enzymes and transporters) are linked to these metabolite entries. Each MetaboCard entry contains 130 data fields with 2/3 of the information being devoted to chemical/clinical data and the other 1/3 devoted to enzymatic or biochemical data. Many data fields are hyperlinked to other databases (KEGG, PubChem, MetaCyc, ChEBI, PDB, UniProt, and GenBank) and a variety of structure and pathway viewing applets. The HMDB database supports extensive text, sequence, chemical structure, MS and NMR spectral query searches. Four additional databases, DrugBank, T3DB, SMPDB and FooDB are also part of the HMDB suite of databases. \n","abbreviation":"HMDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hmdb.ca/about","type":"Help documentation"},{"url":"https://twitter.com/WishartLab","type":"Twitter"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://www.hmdb.ca/textquery","name":"search"},{"url":"http://www.hmdb.ca/advanced_search","name":"advanced search"},{"url":"http://www.hmdb.ca/seqsearch","name":"BLAST"},{"url":"http://www.hmdb.ca/spectra/ms/search","name":"spectral search"},{"url":"http://www.hmdb.ca/chemquery","name":"chemical search"},{"url":"http://www.hmdb.ca/metabolites","name":"browse"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011285","name":"re3data:r3d100011285","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013647","name":"SciCrunch:RRID:SCR_013647","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000552","bsg-d000552"],"name":"FAIRsharing record for: The Human Metabolome Database","abbreviation":"HMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.sye5js","doi":"10.25504/FAIRsharing.sye5js","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Metabolome Database (HMDB) is a freely available electronic database containing detailed information about small molecule metabolites found in the human body. It is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. The database is designed to contain or link three kinds of data: 1) chemical data, 2) clinical data, and 3) molecular biology/biochemistry data. The database contains 220,945 metabolite entries including both water-soluble and lipid soluble metabolites. Additionally, 8,610 protein sequences (enzymes and transporters) are linked to these metabolite entries. Each MetaboCard entry contains 130 data fields with 2/3 of the information being devoted to chemical/clinical data and the other 1/3 devoted to enzymatic or biochemical data. Many data fields are hyperlinked to other databases (KEGG, PubChem, MetaCyc, ChEBI, PDB, UniProt, and GenBank) and a variety of structure and pathway viewing applets. The HMDB database supports extensive text, sequence, chemical structure, MS and NMR spectral query searches. Four additional databases, DrugBank, T3DB, SMPDB and FooDB are also part of the HMDB suite of databases. \n","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11044},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11777}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Biochemistry","Bioinformatics","Proteomics","Life Science","Metabolomics","Phenomics","Omics"],"domains":["Lipid","Molecular entity","Chemical entity","Metabolite","Small molecule"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":532,"pubmed_id":23161693,"title":"HMDB 3.0--The Human Metabolome Database in 2013","year":2012,"url":"http://doi.org/10.1093/nar/gks1065","authors":"David S Wishart, Timothy Jewison, An Chi Guo, Michael Wilson, Craig Knox, Yifeng Liu, Yannick Djoumbou, Rupasri Mandal, Farid Aziat, Edison Dong, Souhaila Bouatra, Igor Sinelnikov, David Arndt, Jianguo Xia, Philip Liu, Faizath Yallou, Trent Bjorndahl, Rolando Perez-Pineiro, Roman Eisner, Felicity Allen, Vanessa Neveu, Russ Greiner, Augustin Scalbert","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1065","created_at":"2021-09-30T08:23:18.134Z","updated_at":"2022-08-29T17:37:04.248Z"},{"id":2370,"pubmed_id":17202168,"title":"HMDB: the Human Metabolome Database.","year":2007,"url":"http://doi.org/10.1093/nar/gkl923","authors":"David S. Wishart, Dan Tzur, Craig Knox, Roman Eisner, An Chi Guo, Nelson Young, Dean Cheng, Kevin Jewell, David Arndt, Summit Sawhney, Chris Fung, Lisa Nikolai, Mike Lewis, Marie-Aude Coutouly, Ian Forsythe, Peter Tang, Savita Shrivastava, Kevin Jeroncic, Paul Stothard, Godwin Amegbey, David Block, David. D. Hau, James Wagner, Jessica Miniaci, Melisa Clements, Mulu Gebremedhin, Natalie Guo, Ying Zhang, Gavin E. Duggan, Glen D. MacInnis, Alim M. Weljie, Reza Dowlatabadi, Fiona Bamforth, Derrick Clive, Russ Greiner, Liang Li, Tom Marrie, Brian D. Sykes, Hans J. Vogel, Lori Querengesser","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl923","created_at":"2021-09-30T08:26:51.369Z","updated_at":"2022-08-29T17:34:14.720Z"},{"id":2371,"pubmed_id":17202168,"title":"HMDB: a knowledgebase for the human metabolome","year":2008,"url":"http://doi.org/10.1093/nar/gkn810","authors":"David S Wishart, Dan Tzur, Craig Knox, Roman Eisner, An Chi Guo, Nelson Young, Dean Cheng, Kevin Jewell, David Arndt, Summit Sawhney, Chris Fung, Lisa Nikolai, Mike Lewis, Marie-Aude Coutouly, Ian Forsythe, Peter Tang, Savita Shrivastava, Kevin Jeroncic, Paul Stothard, Godwin Amegbey, David Block, David D Hau, James Wagner, Jessica Miniaci, Melisa Clements, Mulu Gebremedhin, Natalie Guo, Ying Zhang, Gavin E Duggan, Glen D Macinnis, Alim M Weljie, Reza Dowlatabadi, Fiona Bamforth, Derrick Clive, Russ Greiner, Liang Li, Tom Marrie, Brian D Sykes, Hans J Vogel, Lori Querengesser","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn810","created_at":"2021-09-30T08:26:51.478Z","updated_at":"2022-08-29T17:37:48.347Z"},{"id":3567,"pubmed_id":29140435,"title":"HMDB 4.0: the human metabolome database for 2018","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx1089","authors":"Wishart, David S; Feunang, Yannick Djoumbou; Marcu, Ana; Guo, An Chi; Liang, Kevin; Vázquez-Fresno, Rosa; Sajed, Tanvir; Johnson, Daniel; Li, Carin; Karu, Naama; Sayeeda, Zinat; Lo, Elvis; Assempour, Nazanin; Berjanskii, Mark; Singhal, Sandeep; Arndt, David; Liang, Yonjie; Badran, Hasan; Grant, Jason; Serra-Cayuela, Arnau; Liu, Yifeng; Mandal, Rupa; Neveu, Vanessa; Pon, Allison; Knox, Craig; Wilson, Michael; Manach, Claudine; Scalbert, Augustin; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1089","created_at":"2022-08-29T17:32:16.019Z","updated_at":"2022-08-29T17:32:16.019Z"},{"id":3568,"pubmed_id":34986597,"title":"HMDB 5.0: the Human Metabolome Database for 2022","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1062","authors":"Wishart, David S; Guo, AnChi; Oler, Eponine; Wang, Fei; Anjum, Afia; Peters, Harrison; Dizon, Raynard; Sayeeda, Zinat; Tian, Siyang; Lee, Brian L; Berjanskii, Mark; Mah, Robert; Yamamoto, Mai; Jovel, Juan; Torres-Calzada, Claudia; Hiebert-Giesbrecht, Mickel; Lui, Vicki W; Varshavi, Dorna; Varshavi, Dorsa; Allen, Dana; Arndt, David; Khetarpal, Nitya; Sivakumaran, Aadhavya; Harford, Karxena; Sanford, Selena; Yee, Kristen; Cao, Xuan; Budinski, Zachary; Liigand, Jaanus; Zhang, Lun; Zheng, Jiamin; Mandal, Rupasri; Karu, Naama; Dambrova, Maija; Schiöth, Helgi B; Greiner, Russell; Gautam, Vasuk; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1062","created_at":"2022-08-29T17:32:55.907Z","updated_at":"2022-08-29T17:32:55.907Z"}],"licence_links":[{"licence_name":"HMDB Attribution required","licence_id":399,"licence_url":"https://hmdb.ca/citing","link_id":1629,"relation":"undefined"},{"licence_name":"HMDB No derivatives without permission","licence_id":400,"licence_url":"https://hmdb.ca/about","link_id":1630,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2085","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-26T09:50:46.589Z","metadata":{"doi":"10.25504/FAIRsharing.psn0h2","name":"Toxin and Toxin Target Database","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca","contact_orcid":"0000-0002-3207-2434"}],"homepage":"http://www.t3db.ca/","citations":[],"identifier":2085,"description":"Toxin and Toxin Target Database (T3DB)The Toxin and Toxin Target Database (T3DB) is a bioinformatics resource that combines detailed toxin data with comprehensive toxin target information. Each toxin record (ToxCard) contains over 90 data fields and holds information such as chemical properties and descriptors, toxicity values, molecular and cellular interactions, and medical information. This information has been extracted from a variety of sources, including other databases, government documents, books, and scientific literature.\n\nThe focus of the T3DB is on providing mechanisms of toxicity and target proteins for each toxin. It is also fully searchable and supports extensive text, sequence, chemical structure, and relational query searches. Potential applications of T3DB include toxin metabolism prediction, toxin/drug interaction prediction, and general toxin hazard awareness by the public, making it applicable to various fields.","abbreviation":"T3DB","data_curation":{"url":"http://www.t3db.ca/sources","type":"manual/automated"},"support_links":[{"url":"http://www.t3db.ca/help/fields","name":"Documentation","type":"Help documentation"},{"url":"http://www.t3db.ca/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/WishartLab","name":"@WishartLab","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012189","name":"re3data:r3d100012189","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002672","name":"SciCrunch:RRID:SCR_002672","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000553","bsg-d000553"],"name":"FAIRsharing record for: Toxin and Toxin Target Database","abbreviation":"T3DB","url":"https://fairsharing.org/10.25504/FAIRsharing.psn0h2","doi":"10.25504/FAIRsharing.psn0h2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Toxin and Toxin Target Database (T3DB)The Toxin and Toxin Target Database (T3DB) is a bioinformatics resource that combines detailed toxin data with comprehensive toxin target information. Each toxin record (ToxCard) contains over 90 data fields and holds information such as chemical properties and descriptors, toxicity values, molecular and cellular interactions, and medical information. This information has been extracted from a variety of sources, including other databases, government documents, books, and scientific literature.\n\nThe focus of the T3DB is on providing mechanisms of toxicity and target proteins for each toxin. It is also fully searchable and supports extensive text, sequence, chemical structure, and relational query searches. Potential applications of T3DB include toxin metabolism prediction, toxin/drug interaction prediction, and general toxin hazard awareness by the public, making it applicable to various fields.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16493}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Toxicology","Chemistry","Medical Toxicology","Biomedical Science"],"domains":["Molecular entity","Drug","Drug metabolic process","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":519,"pubmed_id":19897546,"title":"T3DB: a comprehensively annotated database of common toxins and their targets.","year":2009,"url":"http://doi.org/10.1093/nar/gkp934","authors":"Lim E., Pon A., Djoumbou Y., Knox C., Shrivastava S., Guo AC., Neveu V., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp934","created_at":"2021-09-30T08:23:16.659Z","updated_at":"2021-09-30T08:23:16.659Z"},{"id":1608,"pubmed_id":25378312,"title":"T3DB: the toxic exposome database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1004","authors":"Wishart D,Arndt D,Pon A,Sajed T,Guo AC,Djoumbou Y,Knox C,Wilson M,Liang Y,Grant J,Liu Y,Goldansaz SA,Rappaport SM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1004","created_at":"2021-09-30T08:25:20.260Z","updated_at":"2021-09-30T11:29:15.644Z"}],"licence_links":[{"licence_name":"T3DB Terms of Use","licence_id":1102,"licence_url":"http://www.t3db.ca/downloads","link_id":3565,"relation":"applies_to_content"}],"grants":[{"id":1605,"fairsharing_record_id":2085,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:13.409Z","updated_at":"2021-09-30T09:32:46.295Z","grant_id":1770,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","grant":"111062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1607,"fairsharing_record_id":2085,"organisation_id":2799,"relation":"maintains","created_at":"2021-09-30T09:25:13.527Z","updated_at":"2024-03-26T08:51:09.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11625,"fairsharing_record_id":2085,"organisation_id":354,"relation":"maintains","created_at":"2024-03-26T08:51:08.793Z","updated_at":"2024-03-26T08:51:08.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11627,"fairsharing_record_id":2085,"organisation_id":1107,"relation":"funds","created_at":"2024-03-26T08:51:09.313Z","updated_at":"2024-03-26T08:51:09.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1107,"name":"Genome Alberta, Alberta, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11626,"fairsharing_record_id":2085,"organisation_id":1111,"relation":"funds","created_at":"2024-03-26T08:51:08.833Z","updated_at":"2024-03-26T08:51:08.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11628,"fairsharing_record_id":2085,"organisation_id":1109,"relation":"funds","created_at":"2024-03-26T08:51:09.459Z","updated_at":"2024-03-26T08:51:09.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":1109,"name":"Genome British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11612,"fairsharing_record_id":2085,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:38.819Z","updated_at":"2024-03-26T08:51:09.931Z","grant_id":null,"is_lead":true,"saved_state":{"id":3309,"name":"Wishart Lab, University of Alberta","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaGNFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4767ec568a9519169473e68911fa244c9bbc23cb/Screenshot%20from%202024-03-26%2008-41-24.png?disposition=inline","exhaustive_licences":true}},{"id":"2070","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:42.576Z","metadata":{"doi":"10.25504/FAIRsharing.pdx9yt","name":"Aspergillus Genomes","status":"deprecated","contacts":[{"contact_name":"Jane E. Mabey Gilsenan","contact_email":"jane.gilsenan@manchester.ac.uk"}],"homepage":"http://www.aspergillus-genomes.org.uk/","identifier":2070,"description":"Aspergillus Genomes is a resource for viewing annotated genes arising from various Aspergillus sequencing and annotation projects.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.aspergillusblog.blogspot.co.uk","type":"Blog/News"},{"url":"admin@aspergillus.org.uk","type":"Support email"},{"url":"http://www.aspergillus.org.uk/content/proposal-naming-genes-aspergillus-species","type":"Help documentation"},{"url":"http://www.aspergillus.org.uk/content/aspergillus-genomics-research-policy-committee-meeting-minutes","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.cadre-genomes.org.uk/Aspergillus_fumigatus/blastview","name":"blast"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource has been deprecated because the homepage no longer exists and the project has been obsoleted. Please see https://www.aspergillus.org.uk/genomes/aspergillus-genomes/ for more information","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000537","bsg-d000537"],"name":"FAIRsharing record for: Aspergillus Genomes","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pdx9yt","doi":"10.25504/FAIRsharing.pdx9yt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Aspergillus Genomes is a resource for viewing annotated genes arising from various Aspergillus sequencing and annotation projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene","Genome"],"taxonomies":["Aspergillus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":128,"pubmed_id":19039001,"title":"Aspergillus genomes and the Aspergillus cloud.","year":2008,"url":"http://doi.org/10.1093/nar/gkn876","authors":"Mabey Gilsenan JE., Atherton G., Bartholomew J., Giles PF., Attwood TK., Denning DW., Bowyer P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn876","created_at":"2021-09-30T08:22:34.064Z","updated_at":"2021-09-30T08:22:34.064Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1186,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2086","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:52.553Z","metadata":{"doi":"10.25504/FAIRsharing.wfrsvq","name":"gpDB","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"contactbiodb@biol.uoa.gr"}],"homepage":"http://bioinformatics.biol.uoa.gr/gpDB","identifier":2086,"description":"GpDB is a publicly accessible, relational database of G-proteins and their interactions with GPCRs and effector molecules. The sequences are classified according to a hierarchy of different classes, families and sub-families, based on extensive literature search.","abbreviation":"gpDB","data_curation":{"url":"http://bioinformatics.biol.uoa.gr/gpDB/help/manual.htm#_Data_annotation","type":"manual"},"support_links":[{"url":"http://bioinformatics.biol.uoa.gr/gpDB/help/manual.htm","type":"Help documentation"},{"url":"http://bioinformatics.biol.uoa.gr/gpDB/help/manual.htm","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://bioinformatics.biol.uoa.gr/gpDB/retrieveBla.jsp","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000554","bsg-d000554"],"name":"FAIRsharing record for: gpDB","abbreviation":"gpDB","url":"https://fairsharing.org/10.25504/FAIRsharing.wfrsvq","doi":"10.25504/FAIRsharing.wfrsvq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GpDB is a publicly accessible, relational database of G-proteins and their interactions with GPCRs and effector molecules. The sequences are classified according to a hierarchy of different classes, families and sub-families, based on extensive literature search.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Small molecule","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":511,"pubmed_id":18441001,"title":"gpDB: a database of GPCRs, G-proteins, effectors and their interactions.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn206","authors":"Theodoropoulou MC., Bagos PG., Spyropoulos IC., Hamodrakas SJ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn206","created_at":"2021-09-30T08:23:15.775Z","updated_at":"2021-09-30T08:23:15.775Z"},{"id":534,"pubmed_id":15619328,"title":"A database for G proteins and their interaction with GPCRs.","year":2004,"url":"http://doi.org/10.1186/1471-2105-5-208","authors":"Elefsinioti AL., Bagos PG., Spyropoulos IC., Hamodrakas SJ.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-5-208","created_at":"2021-09-30T08:23:18.353Z","updated_at":"2021-09-30T08:23:18.353Z"}],"licence_links":[{"licence_name":"GpDB Attribution required","licence_id":363,"licence_url":"http://bioinformatics.biol.uoa.gr/gpDB/index.jsp","link_id":520,"relation":"undefined"}],"grants":[{"id":1609,"fairsharing_record_id":2086,"organisation_id":3015,"relation":"maintains","created_at":"2021-09-30T09:25:13.593Z","updated_at":"2021-09-30T09:25:13.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":3015,"name":"University of Athens, Greece","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2135","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:47.495Z","metadata":{"doi":"10.25504/FAIRsharing.1fbc5y","name":"arrayMap - Genomic Array Data for Cancer CNV Profiles","status":"ready","contacts":[{"contact_name":"Michael Baudis","contact_email":"mbaudis@me.com","contact_orcid":"0000-0002-9903-4248"}],"homepage":"http://arraymap.org","identifier":2135,"description":"Part of the Progenetix project, the arrayMap database facilitates the study of the genetics of human cancer. The Progenetix project provides the data customisation and visualization tools to mine the available data. The arrayMap database is developed by the group \"Theoretical Cytogenetics and Oncogenomics\" at the Department of Molecular Life Sciences of the University of Zurich.","abbreviation":"arrayMap","data_curation":{"type":"manual"},"support_links":[{"url":"http://info.progenetix.org","name":"Progenetix Documentation","type":"Help documentation"},{"url":"https://twitter.com/progenetix","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://arraymap.org/score/","name":"CNA frequency in Cancer"},{"url":"http://arraymap.org/upload/","name":"Copy Number Segment Plotter"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012630","name":"re3data:r3d100012630","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://github.com/progenetix/oncopubs","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000605","bsg-d000605"],"name":"FAIRsharing record for: arrayMap - Genomic Array Data for Cancer CNV Profiles","abbreviation":"arrayMap","url":"https://fairsharing.org/10.25504/FAIRsharing.1fbc5y","doi":"10.25504/FAIRsharing.1fbc5y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Part of the Progenetix project, the arrayMap database facilitates the study of the genetics of human cancer. The Progenetix project provides the data customisation and visualization tools to mine the available data. The arrayMap database is developed by the group \"Theoretical Cytogenetics and Oncogenomics\" at the Department of Molecular Life Sciences of the University of Zurich.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11361},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12173},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12699}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Bioinformatics","Life Science","Biomedical Science"],"domains":["Expression data","Cancer","DNA microarray","Chromosomal aberration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":595,"pubmed_id":22629346,"title":"arrayMap: a reference resource for genomic copy number imbalances in human malignancies.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0036944","authors":"Cai H, Kumar N, Baudis M.","journal":"PLoS One. 2012;7(5):e36944.","doi":"10.1371/journal.pone.0036944","created_at":"2021-09-30T08:23:25.276Z","updated_at":"2021-09-30T08:23:25.276Z"},{"id":1259,"pubmed_id":25428357,"title":"arrayMap 2014: an updated cancer genome resource.","year":2014,"url":"http://doi.org/10.1093/nar/gku1123","authors":"Cai H,Gupta S,Rath P,Ai N,Baudis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1123","created_at":"2021-09-30T08:24:40.464Z","updated_at":"2021-09-30T11:29:04.243Z"},{"id":1260,"pubmed_id":24476156,"title":"Chromothripsis-like patterns are recurring but heterogeneously distributed features in a survey of 22,347 cancer genome screens.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-82","authors":"Cai H,Kumar N,Bagheri HC,von Mering C,Robinson MD,Baudis M","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-82","created_at":"2021-09-30T08:24:40.592Z","updated_at":"2021-09-30T08:24:40.592Z"},{"id":1279,"pubmed_id":26615188,"title":"The SIB Swiss Institute of Bioinformatics' resources: focus on curated databases.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1310","authors":"SIB Swiss Institute of Bioinformatics Members","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1310","created_at":"2021-09-30T08:24:42.741Z","updated_at":"2021-09-30T11:29:05.268Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Switzerland (CC BY-NC-ND 2.5 CH)","licence_id":176,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/ch/","link_id":640,"relation":"undefined"}],"grants":[{"id":1758,"fairsharing_record_id":2135,"organisation_id":3155,"relation":"maintains","created_at":"2021-09-30T09:25:19.484Z","updated_at":"2021-09-30T09:25:19.484Z","grant_id":null,"is_lead":false,"saved_state":{"id":3155,"name":"University of Zurich, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1757,"fairsharing_record_id":2135,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:19.445Z","updated_at":"2021-09-30T09:25:19.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":10009,"fairsharing_record_id":2135,"organisation_id":841,"relation":"funds","created_at":"2022-10-13T09:43:38.672Z","updated_at":"2022-10-13T09:43:38.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2136","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:16:26.885Z","metadata":{"doi":"10.25504/FAIRsharing.qmygaa","name":"GeneProf","status":"deprecated","contacts":[{"contact_name":"Florian Halbritter","contact_email":"florian.halbritter@ed.ac.uk","contact_orcid":"0000-0003-2452-4784"}],"homepage":"http://www.geneprof.org","identifier":2136,"description":"GeneProf Data is an open web resource for analysed functional genomics experiments. We have built up a large collection of completely processed RNA-seq and ChIP-seq studies by carefully and transparently reanalysing and annotating high-profile public data sets. GeneProf makes these data instantly accessible in an easily interpretable, searchable and reusable manner and thus opens up the path to the advantages and insights gained from genome-scale experiments to a broader scientific audience. Moreover, GeneProf supports programmatic access to these data via web services to further facilitate the reuse of experimental data across tools and laboratories.","abbreviation":"GeneProf","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.geneprof.org/bugsandfeatures.jsp","type":"Contact form"},{"url":"http://www.geneprof.org/GeneProf/help_frequentlyaskedquestions(faq).jsp#chapter:FrequentlyAskedQuestions(FAQ)","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.geneprof.org/GeneProf/help_and_tutorials.jsp","type":"Help documentation"},{"url":"http://www.geneprof.org/help_and_tutorials.jsp","type":"Help documentation"},{"url":"http://www.geneprof.org/GeneProf/help_tutorials.jsp#chapter:Tutorials","type":"Training documentation"}],"year_creation":2009,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000606","bsg-d000606"],"name":"FAIRsharing record for: GeneProf","abbreviation":"GeneProf","url":"https://fairsharing.org/10.25504/FAIRsharing.qmygaa","doi":"10.25504/FAIRsharing.qmygaa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneProf Data is an open web resource for analysed functional genomics experiments. We have built up a large collection of completely processed RNA-seq and ChIP-seq studies by carefully and transparently reanalysing and annotating high-profile public data sets. GeneProf makes these data instantly accessible in an easily interpretable, searchable and reusable manner and thus opens up the path to the advantages and insights gained from genome-scale experiments to a broader scientific audience. Moreover, GeneProf supports programmatic access to these data via web services to further facilitate the reuse of experimental data across tools and laboratories.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12700}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Epigenetics","Life Science","Biomedical Science"],"domains":["Expression data","Computational biological predictions","Ribonucleic acid","Gene model annotation","Chromatin immunoprecipitation - DNA sequencing","Chromatin immunoprecipitation - DNA microarray","RNA sequencing","Binding site"],"taxonomies":["All","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":602,"pubmed_id":22205509,"title":"GeneProf: analysis of high-throughput sequencing experiments","year":2011,"url":"http://doi.org/10.1038/nmeth.1809","authors":"Halbritter F, Vaidya HJ and Tomlinson SR","journal":"Nature Methods","doi":"10.1038/nmeth.1809","created_at":"2021-09-30T08:23:26.002Z","updated_at":"2021-09-30T08:23:26.002Z"},{"id":605,"pubmed_id":null,"title":"GeneProf data: a resource of curated, integrated and reusable high-throughput genomics experiments","year":2013,"url":"http://doi.org/10.1093/nar/gkt966","authors":"Halbritter F, Kousa AI and Tomlinson SR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt966","created_at":"2021-09-30T08:23:26.302Z","updated_at":"2021-09-30T08:23:26.302Z"}],"licence_links":[{"licence_name":"GeneProf Terms and Conditions and Academic License","licence_id":331,"licence_url":"http://www.geneprof.org/GeneProf/terms_and_conditions.jsp","link_id":819,"relation":"undefined"}],"grants":[{"id":1760,"fairsharing_record_id":2136,"organisation_id":3052,"relation":"maintains","created_at":"2021-09-30T09:25:19.542Z","updated_at":"2021-09-30T09:25:19.542Z","grant_id":null,"is_lead":false,"saved_state":{"id":3052,"name":"University of Edinburgh, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1761,"fairsharing_record_id":2136,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:19.574Z","updated_at":"2021-09-30T09:30:26.638Z","grant_id":713,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"G0901533","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2138","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:02.914Z","metadata":{"doi":"10.25504/FAIRsharing.jwhdyr","name":"ModBase database of comparative protein structure models","status":"ready","contacts":[{"contact_name":"ModBase Contact","contact_email":"modbase@salilab.org"}],"homepage":"https://salilab.org/modbase","citations":[{"doi":"10.1007/978-981-33-6191-1_2","pubmed_id":null,"publication_id":3894}],"identifier":2138,"description":"ModBase (https://salilab.org/modbase) is a database of annotated comparative protein structure models. The models are calculated by ModPipe, an automated modeling pipeline that relies primarily on Modeller for fold assignment, sequence-structure alignment, model building, and model assessment (https://salilab.org/modeller/). ModBase currently contains almost 30 million reliable models for domains in 4.7 million unique protein sequences. ModBase allows users to compute or update comparative models on demand, through an interface to the ModWeb modeling server (https://salilab.org/modweb).","abbreviation":"ModBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://salilab.org/modbase","type":"Help documentation"}],"year_creation":1998,"data_versioning":"no","associated_tools":[{"url":"http://salilab.org/modpipe","name":"ModPipe 2.2"}],"data_access_condition":{"url":"https://modbase.compbio.ucsf.edu/modbase-cgi/manage_datasets.cgi","type":"partially open","notes":"Dataset Summaries are not available for the Anonymous user."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://modbase.compbio.ucsf.edu/modweb/","type":"controlled","notes":"Only registered users."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000608","bsg-d000608"],"name":"FAIRsharing record for: ModBase database of comparative protein structure models","abbreviation":"ModBase","url":"https://fairsharing.org/10.25504/FAIRsharing.jwhdyr","doi":"10.25504/FAIRsharing.jwhdyr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ModBase (https://salilab.org/modbase) is a database of annotated comparative protein structure models. The models are calculated by ModPipe, an automated modeling pipeline that relies primarily on Modeller for fold assignment, sequence-structure alignment, model building, and model assessment (https://salilab.org/modeller/). ModBase currently contains almost 30 million reliable models for domains in 4.7 million unique protein sequences. ModBase allows users to compute or update comparative models on demand, through an interface to the ModWeb modeling server (https://salilab.org/modweb).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12701}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":591,"pubmed_id":21097780,"title":"ModBase, a database of annotated comparative protein structure models, and associated resources.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1091","authors":"Pieper U, Webb BM, Barkan DT, Schneidman-Duhovny D, Schlessinger A, Braberg H, Yang Z, Meng EC, Pettersen EF, Huang CC, Datta RS, Sampathkumar P, Madhusudhan MS, Sjölander K, Ferrin TE, Burley SK, Sali A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1091","created_at":"2021-09-30T08:23:24.800Z","updated_at":"2021-09-30T11:28:47.734Z"},{"id":3894,"pubmed_id":null,"title":"Bioinformatics Tools and Software","year":2021,"url":"http://dx.doi.org/10.1007/978-981-33-6191-1_2","authors":"Gupta, Aeshna; Gangotia, Disha; Mani, Indra; ","journal":"Advances in Bioinformatics","doi":"10.1007/978-981-33-6191-1_2","created_at":"2023-06-07T07:33:53.724Z","updated_at":"2023-06-07T07:33:53.724Z"}],"licence_links":[],"grants":[{"id":1765,"fairsharing_record_id":2138,"organisation_id":1671,"relation":"maintains","created_at":"2021-09-30T09:25:19.701Z","updated_at":"2021-09-30T09:25:19.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1671,"name":"Laboratory of Andrej Sali, University of California at San Francisco (UCSF), San Francisco, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2139","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:51:56.517Z","metadata":{"doi":"10.25504/FAIRsharing.34pfmc","name":"CentrosomeDB","status":"deprecated","contacts":[{"contact_name":"Alberto Pascual Montano","contact_email":"pascual@cnb.csic.es"}],"homepage":"http://centrosome.cnb.csic.es","identifier":2139,"description":"CentrosomeDB is a collection of human and drosophila centrosomal genes that were reported in the literature and other sources. The database offers the possibility to study the evolution, function, and structure of the centrosome. They have compiled information from many sources, including Gene Ontology, disease-association, single nucleotide polymorphisms, and associated gene expression experiments.","abbreviation":"CentrosomeDB","data_curation":{"type":"not found"},"support_links":[{"url":"fbio@cnb.csic.es","type":"Support email"},{"url":"http://centrosome.cnb.csic.es/human/centrosome/help","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://centrosome.cnb.csic.es/human/centrosome/query_blast","name":"BLAST"}],"deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000609","bsg-d000609"],"name":"FAIRsharing record for: CentrosomeDB","abbreviation":"CentrosomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.34pfmc","doi":"10.25504/FAIRsharing.34pfmc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CentrosomeDB is a collection of human and drosophila centrosomal genes that were reported in the literature and other sources. The database offers the possibility to study the evolution, function, and structure of the centrosome. They have compiled information from many sources, including Gene Ontology, disease-association, single nucleotide polymorphisms, and associated gene expression experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein identification","Centrosome","Sequence"],"taxonomies":["Drosophila melanogaster","Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":592,"pubmed_id":24270791,"title":"CentrosomeDB: a new generation of the centrosomal proteins database for Human and Drosophila melanogaster","year":2013,"url":"http://doi.org/10.1093/nar/gkt1126","authors":"Joao Alves-Cruzeiro, Ruben Nogalales-Cadenas, Alberto Pascual-Montano","journal":"NAR-Nucleic Acids Research","doi":"10.1093/nar/gkt1126","created_at":"2021-09-30T08:23:24.960Z","updated_at":"2021-09-30T08:23:24.960Z"}],"licence_links":[],"grants":[{"id":1768,"fairsharing_record_id":2139,"organisation_id":1973,"relation":"maintains","created_at":"2021-09-30T09:25:19.818Z","updated_at":"2021-09-30T09:25:19.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":1973,"name":"National Centre for Biotechnolgy (CNB), Madrid, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1767,"fairsharing_record_id":2139,"organisation_id":595,"relation":"funds","created_at":"2021-09-30T09:25:19.777Z","updated_at":"2021-09-30T09:29:14.594Z","grant_id":155,"is_lead":false,"saved_state":{"id":595,"name":"Comunidad de Madrid (CAM), Madrid, Spain","grant":"CAM - P2006/Gen-0166","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8024,"fairsharing_record_id":2139,"organisation_id":595,"relation":"funds","created_at":"2021-09-30T09:30:28.003Z","updated_at":"2021-09-30T09:30:28.055Z","grant_id":724,"is_lead":false,"saved_state":{"id":595,"name":"Comunidad de Madrid (CAM), Madrid, Spain","grant":"P2010/BMD-2305","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9213,"fairsharing_record_id":2139,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.750Z","updated_at":"2022-04-11T12:07:22.769Z","grant_id":1286,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"BIO2010-17527","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2131","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:35.525Z","metadata":{"doi":"10.25504/FAIRsharing.8fy3bn","name":"The mitochondrial DNA breakpoints database","status":"ready","contacts":[{"contact_name":"Filipe Pereira","contact_email":"mitobreak@gmail.com","contact_orcid":"0000-0001-8950-1036"},{"contact_name":"Joana Damas","contact_email":"joanadamas@gmail.com","contact_orcid":"0000-0003-4857-2510"}],"homepage":"http://mitobreak.portugene.com","citations":[],"identifier":2131,"description":"A comprehensive on-line resource with curated datasets of mitochondrial DNA (mtDNA) rearrangements.","abbreviation":"MitoBreak","data_curation":{"url":"http://mitobreak.portugene.com/cgi-bin/Mitobreak_home.cgi","type":"manual"},"support_links":[{"url":"http://mitobreak.portugene.com/MitoBreak_contact.html","type":"Contact form"},{"url":"http://mitobreak.portugene.com/MitoBreak_help.html","type":"Help documentation"},{"url":"http://mitobreak.portugene.com/MitoBreak_documentation.html","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://mitobreak.portugene.com/cgi-bin/Mitobreak_classifier_input.cgi","name":"Classifier"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://mitobreak.portugene.com/cgi-bin/Mitobreak_submission.cgi","type":"controlled","notes":"Submittinh large collection of rearrangements to submit or adding breakpoints from a species and/or rearrangement type in MitoBreak via contacting them."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000601","bsg-d000601"],"name":"FAIRsharing record for: The mitochondrial DNA breakpoints database","abbreviation":"MitoBreak","url":"https://fairsharing.org/10.25504/FAIRsharing.8fy3bn","doi":"10.25504/FAIRsharing.8fy3bn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive on-line resource with curated datasets of mitochondrial DNA (mtDNA) rearrangements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Chromosome fragile site","Mitochondrial genome","Chromosome breakpoint","Nucleotide duplication","Deletions","Mitochondrial disease"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Macaca mulatta","Mus musculus","Podospora anserina","Rattus norvegicus"],"user_defined_tags":["Genomic rearrangement"],"countries":["Portugal"],"publications":[{"id":566,"pubmed_id":24170808,"title":"MitoBreak: The mitochondrial DNA breakpoints database","year":2013,"url":"http://doi.org/10.1093/nar/gkt982","authors":"Joana Damas, João Carneiro, António Amorim and Filipe Pereira","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt982","created_at":"2021-09-30T08:23:21.893Z","updated_at":"2021-09-30T08:23:21.893Z"}],"licence_links":[],"grants":[{"id":9517,"fairsharing_record_id":2131,"organisation_id":3511,"relation":"maintains","created_at":"2022-05-12T10:45:17.226Z","updated_at":"2022-05-12T10:45:17.226Z","grant_id":null,"is_lead":true,"saved_state":{"id":3511,"name":"IDENTIFICA genetic testing","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZEE9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--bef1bc6f04e45dbc52982ede048e35b58882e681/MitoBreaklogojpg3.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2132","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:36:32.508Z","metadata":{"doi":"10.25504/FAIRsharing.9vyk3d","name":"JCB DataViewer","status":"deprecated","contacts":[{"contact_name":"Liz Williams","contact_email":"lwilliams@rockefeller.edu","contact_orcid":"0000-0002-4665-1875"}],"homepage":"http://jcb-dataviewer.rupress.org","identifier":2132,"description":"The JCB DataViewer is an image hosting and visualization platform for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the \"scores\" from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard.","abbreviation":"JCB DataViewer","data_curation":{"type":"not found"},"support_links":[{"url":"http://jcb-dataviewer.rupress.org/jcb/page/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://jcb-dataviewer.rupress.org","type":"Help documentation"},{"url":"https://twitter.com/JCellBiol","type":"Twitter"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://downloads.openmicroscopy.org/bio-formats/4.4.9/","name":"Bio-Formats 4.4.9"}],"deprecation_date":"2019-06-05","deprecation_reason":"This resource is now deprecated. The data that was stored in this resource has (mostly) been moved to BioStudies, to a specific JCB collection (https://www.ebi.ac.uk/biostudies/JCB/studies).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000602","bsg-d000602"],"name":"FAIRsharing record for: JCB DataViewer","abbreviation":"JCB DataViewer","url":"https://fairsharing.org/10.25504/FAIRsharing.9vyk3d","doi":"10.25504/FAIRsharing.9vyk3d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JCB DataViewer is an image hosting and visualization platform for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the \"scores\" from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11221},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11360}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":569,"pubmed_id":20513764,"title":"Metadata matters: access to image data in the real world","year":2010,"url":"http://doi.org/10.1083/jcb.201004104","authors":"Melissa Linkert, Curtis T. Rueden, Chris Allan et al.","journal":"The Journal of Cell Biology","doi":"10.1083/jcb.201004104","created_at":"2021-09-30T08:23:22.218Z","updated_at":"2021-09-30T08:23:22.218Z"},{"id":571,"pubmed_id":22869591,"title":"The JCB DataViewer scales up.","year":2012,"url":"http://doi.org/10.1083/jcb.201207117","authors":"Williams EH, Carpentier P, Misteli T.","journal":"Journal of Cell Biology","doi":"10.1083/jcb.201207117","created_at":"2021-09-30T08:23:22.468Z","updated_at":"2021-09-30T08:23:22.468Z"},{"id":572,"pubmed_id":20921131,"title":"Friends, colleagues, authors, lend us your data.","year":2010,"url":"http://doi.org/10.1083/jcb.201009056","authors":"DeCathelineau A, Williams EH, Misteli T, Rossner M.","journal":"Journal of Cell Bioloy","doi":"10.1083/jcb.201009056","created_at":"2021-09-30T08:23:22.572Z","updated_at":"2021-09-30T08:23:22.572Z"},{"id":573,"pubmed_id":21893594,"title":"New tools for JCB","year":2011,"url":"http://doi.org/10.1083/jcb.201108096","authors":"Williams EH, Misteli T.","journal":"Journal of Cell Biology","doi":"10.1083/jcb.201108096","created_at":"2021-09-30T08:23:22.677Z","updated_at":"2021-09-30T08:23:22.677Z"},{"id":1637,"pubmed_id":null,"title":"Announcing the JCB DataViewer, a browser-based application for viewing original image files","year":2008,"url":"http://doi.org/10.1083/jcb.200811132","authors":"Hill E","journal":"Journal of Cell Biology","doi":"10.1083/jcb.200811132","created_at":"2021-09-30T08:25:23.389Z","updated_at":"2021-09-30T08:25:23.389Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":858,"relation":"undefined"},{"licence_name":"JCB DataViewer Terms of Use","licence_id":468,"licence_url":"http://jcb-dataviewer.rupress.org/jcb/page/termsofuse/","link_id":814,"relation":"undefined"}],"grants":[{"id":1745,"fairsharing_record_id":2132,"organisation_id":1610,"relation":"maintains","created_at":"2021-09-30T09:25:19.101Z","updated_at":"2021-09-30T09:25:19.101Z","grant_id":null,"is_lead":false,"saved_state":{"id":1610,"name":"Journal of Cell Biology (JCB), New York, NY, USA","types":["Publisher"],"is_lead":false,"relation":"maintains"}},{"id":1748,"fairsharing_record_id":2132,"organisation_id":1162,"relation":"maintains","created_at":"2021-09-30T09:25:19.213Z","updated_at":"2021-09-30T09:25:19.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":1162,"name":"Glencoe Software, Seattle, WA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1746,"fairsharing_record_id":2132,"organisation_id":2457,"relation":"maintains","created_at":"2021-09-30T09:25:19.139Z","updated_at":"2021-09-30T09:25:19.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":2457,"name":"Rockefeller University Press","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1747,"fairsharing_record_id":2132,"organisation_id":2261,"relation":"maintains","created_at":"2021-09-30T09:25:19.176Z","updated_at":"2021-09-30T09:25:19.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2134","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:58.852Z","metadata":{"doi":"10.25504/FAIRsharing.65tdnz","name":"Progenetix","status":"ready","contacts":[{"contact_name":"Michael Baudis","contact_email":"mbaudis@me.com","contact_orcid":"0000-0002-9903-4248"}],"homepage":"https://progenetix.org/","citations":[{"doi":"10.1093/bioinformatics/17.12.1228","pubmed_id":11751233,"publication_id":2667}],"identifier":2134,"description":"The Progenetix database provides an overview of copy number abnormalities in human cancer from Comparative Genomic Hybridization (CGH) experiments. Progenetix is the largest curated database for whole genome copy number profiles in cancer. The current dataset contains more than 130'000 profiles from genomic CNV screening experiments. This data covers 700 diagnostic entities according to the NCIt Neoplasm Core and the International Classification of Disease in Oncology (ICD-O 3). Additionally, the website attempts to lists all publications referring to cancer genome profiling experiments.","abbreviation":"Progenetix","data_curation":{"type":"manual"},"support_links":[{"url":"https://info.progenetix.org/categories/news.html","name":"News","type":"Blog/News"},{"url":"https://info.progenetix.org/categories/howto.html","type":"Help documentation"},{"url":"https://info.progenetix.org/categories/about.html","type":"Help documentation"},{"url":"https://twitter.com/progenetix","type":"Twitter"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012820","name":"re3data:r3d100012820","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000604","bsg-d000604"],"name":"FAIRsharing record for: Progenetix","abbreviation":"Progenetix","url":"https://fairsharing.org/10.25504/FAIRsharing.65tdnz","doi":"10.25504/FAIRsharing.65tdnz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Progenetix database provides an overview of copy number abnormalities in human cancer from Comparative Genomic Hybridization (CGH) experiments. Progenetix is the largest curated database for whole genome copy number profiles in cancer. The current dataset contains more than 130'000 profiles from genomic CNV screening experiments. This data covers 700 diagnostic entities according to the NCIt Neoplasm Core and the International Classification of Disease in Oncology (ICD-O 3). Additionally, the website attempts to lists all publications referring to cancer genome profiling experiments.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12698}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science"],"domains":["Expression data","Cancer","Curated information","DNA microarray","Literature curation","Chromosomal aberration","Comparative genomic hybridization","Biocuration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":595,"pubmed_id":22629346,"title":"arrayMap: a reference resource for genomic copy number imbalances in human malignancies.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0036944","authors":"Cai H, Kumar N, Baudis M.","journal":"PLoS One. 2012;7(5):e36944.","doi":"10.1371/journal.pone.0036944","created_at":"2021-09-30T08:23:25.276Z","updated_at":"2021-09-30T08:23:25.276Z"},{"id":603,"pubmed_id":18088415,"title":"Genomic imbalances in 5918 malignant epithelial tumors: an explorative meta-analysis of chromosomal CGH data","year":2007,"url":"http://doi.org/10.1186/1471-2407-7-226","authors":"Baudis M","journal":"BMC Cancer. 2007 Dec 18;7:226.","doi":"10.1186/1471-2407-7-226","created_at":"2021-09-30T08:23:26.102Z","updated_at":"2021-09-30T08:23:26.102Z"},{"id":610,"pubmed_id":16568815,"title":"Online database and bioinformatics toolbox to support data mining in cancer cytogenetics.","year":2006,"url":"http://doi.org/10.2144/000112102","authors":"Baudis M","journal":"Biotechniques. 2006 Mar;40(3):269-70, 272.","doi":"10.2144/000112102","created_at":"2021-09-30T08:23:27.028Z","updated_at":"2021-09-30T08:23:27.028Z"},{"id":941,"pubmed_id":24225322,"title":"Progenetix: 12 years of oncogenomic data curation.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1108","authors":"Cai H,Kumar N,Ai N,Gupta S,Rath P,Baudis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1108","created_at":"2021-09-30T08:24:04.135Z","updated_at":"2021-09-30T11:28:55.792Z"},{"id":1259,"pubmed_id":25428357,"title":"arrayMap 2014: an updated cancer genome resource.","year":2014,"url":"http://doi.org/10.1093/nar/gku1123","authors":"Cai H,Gupta S,Rath P,Ai N,Baudis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1123","created_at":"2021-09-30T08:24:40.464Z","updated_at":"2021-09-30T11:29:04.243Z"},{"id":1260,"pubmed_id":24476156,"title":"Chromothripsis-like patterns are recurring but heterogeneously distributed features in a survey of 22,347 cancer genome screens.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-82","authors":"Cai H,Kumar N,Bagheri HC,von Mering C,Robinson MD,Baudis M","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-82","created_at":"2021-09-30T08:24:40.592Z","updated_at":"2021-09-30T08:24:40.592Z"},{"id":2667,"pubmed_id":11751233,"title":"Progenetix.net: an online repository for molecular cytogenetic aberration data.","year":2001,"url":"http://doi.org/10.1093/bioinformatics/17.12.1228","authors":"Baudis M, Cleary ML.","journal":"Bioinformatics. 2001 Dec;17(12):1228-9.","doi":"10.1093/bioinformatics/17.12.1228","created_at":"2021-09-30T08:27:27.439Z","updated_at":"2021-09-30T08:27:27.439Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2532,"relation":"applies_to_content"}],"grants":[{"id":1755,"fairsharing_record_id":2134,"organisation_id":2682,"relation":"undefined","created_at":"2021-09-30T09:25:19.395Z","updated_at":"2021-12-09T13:05:34.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2143","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:29:00.927Z","metadata":{"doi":"10.25504/FAIRsharing.f0bxfg","name":"miRTarBase","status":"deprecated","contacts":[{"contact_name":"Sheng-Da Hsu","contact_email":"ken.sd.hsu@gmail.com","contact_orcid":"0000-0002-8214-1696"}],"homepage":"http://miRTarBase.mbc.nctu.edu.tw","identifier":2143,"description":"As a database, miRTarBase has accumulated more than fifty thousand miRNA-target interactions (MTIs), which are collected by manually surveying pertinent literature after data mining of the text systematically to filter research articles related to functional studies of miRNAs. Generally, the collected MTIs are validated experimentally by reporter assay, western blot, microarray and next-generation sequencing experiments. While containing the largest amount of validated MTIs, the miRTarBase provides the most updated collection by comparing with other similar, previously developed databases.","abbreviation":"miRTarBase","data_curation":{"type":"not found"},"support_links":[{"url":"ken.sd.hsu@gmail.com","type":"Support email"},{"url":"http://mirtarbase.mbc.nctu.edu.tw/php/help.php","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000615","bsg-d000615"],"name":"FAIRsharing record for: miRTarBase","abbreviation":"miRTarBase","url":"https://fairsharing.org/10.25504/FAIRsharing.f0bxfg","doi":"10.25504/FAIRsharing.f0bxfg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As a database, miRTarBase has accumulated more than fifty thousand miRNA-target interactions (MTIs), which are collected by manually surveying pertinent literature after data mining of the text systematically to filter research articles related to functional studies of miRNAs. Generally, the collected MTIs are validated experimentally by reporter assay, western blot, microarray and next-generation sequencing experiments. While containing the largest amount of validated MTIs, the miRTarBase provides the most updated collection by comparing with other similar, previously developed databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene silencing by miRNA (microRNA)","Micro RNA"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":1072,"pubmed_id":21071411,"title":"miRTarBase: a database curates experimentally validated microRNA-target interactions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1107","authors":"Hsu SD, Lin FM, Wu WY, Liang C, Huang WC, Chan WL, Tsai WT, Chen GZ, Lee CJ, Chiu CM, Chien CH, Wu MC, Huang CY, Tsou AP, Huang HD.","journal":"Nucleic Acid Res. Database Issue","doi":"10.1093/nar/gkq1107","created_at":"2021-09-30T08:24:18.705Z","updated_at":"2021-09-30T11:28:40.992Z"}],"licence_links":[{"licence_name":"MIRTAR is free for academic and non-profit use","licence_id":516,"licence_url":"http://mirtarbase.mbc.nctu.edu.tw/cache/download/LICENSE","link_id":825,"relation":"undefined"}],"grants":[{"id":9320,"fairsharing_record_id":2143,"organisation_id":1873,"relation":"funds","created_at":"2022-04-11T12:07:30.131Z","updated_at":"2022-04-11T12:07:30.150Z","grant_id":324,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 101-2911-I-009-101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9321,"fairsharing_record_id":2143,"organisation_id":1873,"relation":"funds","created_at":"2022-04-11T12:07:30.227Z","updated_at":"2022-04-11T12:07:30.242Z","grant_id":88,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 102-2627-B-009-001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9322,"fairsharing_record_id":2143,"organisation_id":1873,"relation":"funds","created_at":"2022-04-11T12:07:30.302Z","updated_at":"2022-04-11T12:07:30.316Z","grant_id":935,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 101-2311-B-009-003-MY3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2144","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:41.470Z","metadata":{"doi":"10.25504/FAIRsharing.g2cf4x","name":"CollecTF","status":"ready","contacts":[{"contact_name":"Ivan Erill","contact_email":"erill@umbc.edu","contact_orcid":"0000-0002-7280-7191"}],"homepage":"http://collectf.umbc.edu","identifier":2144,"description":"CollecTF is a database of transcription factor binding sites (TFBS) in the Bacteria domain. It aims at becoming a reference, highly-accessed database by relying on its ability to customize navigation and data extraction, its relevance to the community, the quality and detail of the stored data and the up-to-date nature of the stored information.","abbreviation":"CollecTF","data_curation":{"url":"http://collectf.umbc.edu/browse/about/","type":"manual","notes":"The curation model combines direct author submissions and in-house curation."},"support_links":[{"url":"http://collectf.umbc.edu/browse/feedback/","type":"Contact form"},{"url":"collectfdb@umbc.edu","type":"Support email"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://collectf.umbc.edu/browse/compare_motifs/","name":"Motif Comparison"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://collectf.umbc.edu/browse/contribute/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000616","bsg-d000616"],"name":"FAIRsharing record for: CollecTF","abbreviation":"CollecTF","url":"https://fairsharing.org/10.25504/FAIRsharing.g2cf4x","doi":"10.25504/FAIRsharing.g2cf4x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CollecTF is a database of transcription factor binding sites (TFBS) in the Bacteria domain. It aims at becoming a reference, highly-accessed database by relying on its ability to customize navigation and data extraction, its relevance to the community, the quality and detail of the stored data and the up-to-date nature of the stored information.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12702}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Developmental Biology","Life Science","Transcriptomics"],"domains":["Regulation of gene expression","Binding motif","Transcription factor","Experimentally determined","Binding site"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":621,"pubmed_id":24234444,"title":"CollecTF: a database of experimentally validated transcription factor-binding sites in Bacteria","year":2013,"url":"http://doi.org/10.1093/nar/gkt1123","authors":"Kilic, Sefa; White, Elliot; Sagitova, Dinara; Cornish, Joseph; Erill, Ivan","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1123","created_at":"2021-09-30T08:23:28.327Z","updated_at":"2021-09-30T08:23:28.327Z"}],"licence_links":[],"grants":[{"id":1789,"fairsharing_record_id":2144,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:25:20.565Z","updated_at":"2021-09-30T09:25:20.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1788,"fairsharing_record_id":2144,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:20.538Z","updated_at":"2021-09-30T09:32:02.943Z","grant_id":1445,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB-1158056","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2140","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:10:12.386Z","metadata":{"doi":"10.25504/FAIRsharing.tgjsm4","name":"bNAber","status":"deprecated","contacts":[{"contact_name":"bNAber Support","contact_email":"support@bnaber.org"}],"homepage":"http://bnaber.org/","citations":[{"publication_id":609}],"identifier":2140,"description":"Discovery of Broadly Neutralizing Antibodies (bNAbs) has given a great boost to HIV vaccine research. Study of bNAbs capable of neutralizing a broad array of different HIV strains is important for a number of reasons: (i) structures of antigens co-crystallized with bNAbs are used as templates in HIV vaccine design; (ii) bNAbs can be effective as therapeutics; (iii) preventive use of bNAbs is a promising direction in AIDS care. The goal of bNAber is to collect, analyze, compare and present bNAbs data, thus helping researchers to create HIV vaccine.","abbreviation":"bNAber","data_curation":{"type":"not found"},"support_links":[{"url":"http://bnaber.org/?q=Help","name":"Help Pages","type":"Help documentation"},{"url":"http://bnaber.org/?q=node/12","name":"Information for Biologists","type":"Help documentation"},{"url":"http://bnaber.org/?q=node/153","name":"Statistics","type":"Help documentation"},{"url":"http://bnaber.org/?q=Use%20Cases","name":"Use Cases","type":"Training documentation"},{"url":"http://bnaber.org/?q=Walkthrough%20Videos","name":"Instructional Videos","type":"Training documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://bnaber.org/?q=node/115","name":"Analysis Tools"},{"url":"http://bnaber.org/?q=Structure%20Alignment%20Matrix","name":"Structure Alignment"},{"url":"http://bnaber.org/?q=NeutSandbox","name":"Neutralization Workbench"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000610","bsg-d000610"],"name":"FAIRsharing record for: bNAber","abbreviation":"bNAber","url":"https://fairsharing.org/10.25504/FAIRsharing.tgjsm4","doi":"10.25504/FAIRsharing.tgjsm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Discovery of Broadly Neutralizing Antibodies (bNAbs) has given a great boost to HIV vaccine research. Study of bNAbs capable of neutralizing a broad array of different HIV strains is important for a number of reasons: (i) structures of antigens co-crystallized with bNAbs are used as templates in HIV vaccine design; (ii) bNAbs can be effective as therapeutics; (iii) preventive use of bNAbs is a promising direction in AIDS care. The goal of bNAber is to collect, analyze, compare and present bNAbs data, thus helping researchers to create HIV vaccine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunogenetics","Immunology","Biomedical Science"],"domains":["Antibody","Structure","Sequence"],"taxonomies":["Homo sapiens","Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":609,"pubmed_id":null,"title":"bNAber: database of broadly neutralizing HIV antibodies","year":2014,"url":"https://doi.org/10.1093/nar/gkt1083","authors":"Alexey Eroshkin, Andrew LeBlanc, Dana Weekes, Kai Post, Zhanwen Li, Akhil Rajput, Sal T. Butera, Dennis R. Burton and Adam Godzik","journal":"Nucleic Acid Res. Database Issue","doi":null,"created_at":"2021-09-30T08:23:26.918Z","updated_at":"2021-09-30T11:28:41.069Z"}],"licence_links":[],"grants":[{"id":9038,"fairsharing_record_id":2140,"organisation_id":2487,"relation":"maintains","created_at":"2022-03-28T12:54:57.386Z","updated_at":"2022-03-28T12:54:57.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":2487,"name":"Sanford Burnham Prebys Medical Discovery Institute (SBP), La Jolla, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1772,"fairsharing_record_id":2140,"organisation_id":2831,"relation":"maintains","created_at":"2021-09-30T09:25:19.973Z","updated_at":"2021-09-30T09:25:19.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":2831,"name":"The Scripps Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1773,"fairsharing_record_id":2140,"organisation_id":2401,"relation":"maintains","created_at":"2021-09-30T09:25:20.009Z","updated_at":"2021-09-30T09:25:20.009Z","grant_id":null,"is_lead":false,"saved_state":{"id":2401,"name":"Ragon Institute","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1769,"fairsharing_record_id":2140,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:19.859Z","updated_at":"2021-09-30T09:30:30.958Z","grant_id":743,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01GM101457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8270,"fairsharing_record_id":2140,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:51.040Z","updated_at":"2021-09-30T09:31:51.096Z","grant_id":1355,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"UM1AI100663","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2141","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:40.076Z","metadata":{"doi":"10.25504/FAIRsharing.7qexb2","name":"Plant DNA C-values database","status":"ready","contacts":[{"contact_name":"Ilia Leitch","contact_email":"i.leitch@kew.org","contact_orcid":"0000-0002-3837-8186"}],"homepage":"https://cvalues.science.kew.org/","citations":[],"identifier":2141,"description":"A database containing genome size (C-value) data for all groups of land plants and red, green and brown algae.","abbreviation":"Plant C-Values","data_curation":{"type":"manual"},"support_links":[{"url":"dnac-value@kew.org","type":"Support email"},{"url":"https://cvalues.science.kew.org/introduction","name":"About","type":"Help documentation"}],"year_creation":2001,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000612","bsg-d000612"],"name":"FAIRsharing record for: Plant DNA C-values database","abbreviation":"Plant C-Values","url":"https://fairsharing.org/10.25504/FAIRsharing.7qexb2","doi":"10.25504/FAIRsharing.7qexb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database containing genome size (C-value) data for all groups of land plants and red, green and brown algae.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":607,"pubmed_id":17090588,"title":"Eukaryotic genome size databases","year":2006,"url":"http://doi.org/10.1093/nar/gkl828","authors":"Gregory TR, Nicol JA, Tamm H, Kullman B, Kullman K, Leitch IJ, Murray BG, Kapraun DF, Greilhuber J, Bennett MD.","journal":"Nucleic Acids Research 35 (Database issue): D332-D338.","doi":"10.1093/nar/gkl828","created_at":"2021-09-30T08:23:26.578Z","updated_at":"2021-09-30T08:23:26.578Z"},{"id":608,"pubmed_id":24288377,"title":"Recent updates and developments to plant genome size databases.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1195","authors":"Garcia S,Leitch IJ,Anadon-Rosell A,Canela MA,Galvez F,Garnatje T,Gras A,Hidalgo O,Johnston E,Mas de Xaxars G,Pellicer J,Siljak-Yakovlev S,Valles J,Vitales D,Bennett MD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1195","created_at":"2021-09-30T08:23:26.733Z","updated_at":"2021-09-30T11:28:48.117Z"}],"licence_links":[{"licence_name":"Kew Gardens Terms and Conditions","licence_id":479,"licence_url":"https://www.kew.org/terms-and-conditions","link_id":2816,"relation":"applies_to_content"},{"licence_name":"Privacy policy Kew Gardens","licence_id":973,"licence_url":"https://www.kew.org/about-us/reports-and-policies/privacy?_gl=1%2A6r2l0n%2A_ga%2ANzcyNTAyMTMyLjE2NjE3ODY1Nzc.%2A_ga_ZVV2HHW7P6%2AMTY2MTc4NjU3Ny4xLjEuMTY2MTc4NjgwNS4wLjAuMA..","link_id":2817,"relation":"applies_to_content"}],"grants":[{"id":1778,"fairsharing_record_id":2141,"organisation_id":168,"relation":"funds","created_at":"2021-09-30T09:25:20.197Z","updated_at":"2021-09-30T09:29:19.154Z","grant_id":193,"is_lead":false,"saved_state":{"id":168,"name":"Barcelona University, Barcelona, Spain","grant":"ADR-2011-38","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1780,"fairsharing_record_id":2141,"organisation_id":1615,"relation":"funds","created_at":"2021-09-30T09:25:20.253Z","updated_at":"2021-09-30T09:30:16.720Z","grant_id":633,"is_lead":false,"saved_state":{"id":1615,"name":"Juan de la Cierva, Madrid, Spain","grant":"JCI-2011-10124","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1781,"fairsharing_record_id":2141,"organisation_id":2832,"relation":"funds","created_at":"2021-09-30T09:25:20.279Z","updated_at":"2021-09-30T09:32:12.163Z","grant_id":1514,"is_lead":false,"saved_state":{"id":2832,"name":"The Spanish government","grant":"CGL2010-22234-C02-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1782,"fairsharing_record_id":2141,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:25:20.310Z","updated_at":"2021-09-30T09:30:14.391Z","grant_id":615,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"196468/V40","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1775,"fairsharing_record_id":2141,"organisation_id":1193,"relation":"funds","created_at":"2021-09-30T09:25:20.089Z","updated_at":"2021-09-30T09:32:17.196Z","grant_id":1548,"is_lead":false,"saved_state":{"id":1193,"name":"Government of Catalonia, Spain","grant":"2009SGR00439","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8881,"fairsharing_record_id":2141,"organisation_id":2971,"relation":"funds","created_at":"2022-02-13T19:02:11.741Z","updated_at":"2022-02-13T19:02:11.741Z","grant_id":333,"is_lead":false,"saved_state":{"id":2971,"name":"Universitat Autònoma de Barcelona","grant":"BP-2011-A-00292","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1777,"fairsharing_record_id":2141,"organisation_id":1853,"relation":"funds","created_at":"2021-09-30T09:25:20.165Z","updated_at":"2021-09-30T09:30:57.357Z","grant_id":951,"is_lead":false,"saved_state":{"id":1853,"name":"Ministerio de Educacion, Cultura y Deporte, Madrid, Spain","grant":"AP2008-03441","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1776,"fairsharing_record_id":2141,"organisation_id":2461,"relation":"maintains","created_at":"2021-09-30T09:25:20.126Z","updated_at":"2021-09-30T09:25:20.126Z","grant_id":null,"is_lead":false,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew, London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8061,"fairsharing_record_id":2141,"organisation_id":1615,"relation":"funds","created_at":"2021-09-30T09:30:42.263Z","updated_at":"2021-09-30T09:30:42.320Z","grant_id":830,"is_lead":false,"saved_state":{"id":1615,"name":"Juan de la Cierva, Madrid, Spain","grant":"JCI-2010-9432","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2146","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:52:51.116Z","metadata":{"doi":"10.25504/FAIRsharing.fssydn","name":"DisGeNET","status":"ready","contacts":[{"contact_name":"Laura I. Furlong","contact_email":"laura.furlong@upf.edu","contact_orcid":"0000-0002-9383-528X"}],"homepage":"http://www.disgenet.org","citations":[{"doi":null,"pubmed_id":null,"publication_id":2593}],"identifier":2146,"description":"DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v7.0) contains 1,134,942 gene-disease associations (GDAs), between 21,671 genes and 30,170 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 369,554 variant-disease associations (VDAs), between 194,515 variants and 14,155 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.","abbreviation":"DisGeNET","data_curation":{"url":"https://www.disgenet.org/app","type":"automated","notes":"Cytoscape text-mining annotation"},"support_links":[{"url":"support@disgenet.org","name":"Support","type":"Support email"},{"url":"http://www.disgenet.org/help","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.disgenet.org/dbinfo","type":"Help documentation"},{"url":"https://twitter.com/DisGeNET","type":"Twitter"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://www.disgenet.org","name":"browse"},{"url":"http://rdf.disgenet.org/fct/","name":"Faceted Browser"},{"url":"https://apps.cytoscape.org/apps/disgenetapp","name":"DisGeNET Cytoscape App 7.0"},{"url":"https://bitbucket.org/ibi_group/disgenet2r","name":"disgenet2r 0.99.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013301","name":"re3data:r3d100013301","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006178","name":"SciCrunch:RRID:SCR_006178","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000618","bsg-d000618"],"name":"FAIRsharing record for: DisGeNET","abbreviation":"DisGeNET","url":"https://fairsharing.org/10.25504/FAIRsharing.fssydn","doi":"10.25504/FAIRsharing.fssydn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v7.0) contains 1,134,942 gene-disease associations (GDAs), between 21,671 genes and 30,170 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 369,554 variant-disease associations (VDAs), between 194,515 variants and 14,155 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11362},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11887},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12320},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12703}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Human Genetics","Life Science","Biomedical Science"],"domains":["Mutation","Genetic polymorphism","Disease","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19","Interoperability"],"countries":["Spain"],"publications":[{"id":791,"pubmed_id":25877637,"title":"DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes","year":2015,"url":"http://doi.org/10.1093/database/bav028","authors":"Piñero J, Queralt-Rosinach N, Bravo A, Deu-Pons J, Bauer-Mehren A, Baron M, Sanz F, Furlong LI","journal":"Database","doi":"10.1093/database/bav028","created_at":"2021-09-30T08:23:47.179Z","updated_at":"2021-09-30T08:23:47.179Z"},{"id":1424,"pubmed_id":20861032,"title":"DisGeNET: a Cytoscape plugin to visualize, integrate, search and analyze gene–disease networks","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq538","authors":"Bauer-Mehren A, Rautschka M, Sanz F, Furlong LI.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq538","created_at":"2021-09-30T08:24:59.173Z","updated_at":"2021-09-30T11:28:40.674Z"},{"id":1649,"pubmed_id":21695124,"title":"Gene-disease network analysis reveals functional modules in mendelian, complex and environmental diseases","year":2011,"url":"http://doi.org/10.1371/journal.pone.0020284","authors":"Bauer-Mehren A, Bundschus M, Rautschka M, Mayer MA, Sanz F, Furlong LI.","journal":"PLoS One","doi":"10.1371/journal.pone.0020284","created_at":"2021-09-30T08:25:24.754Z","updated_at":"2021-09-30T08:25:24.754Z"},{"id":2488,"pubmed_id":27924018,"title":"DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants","year":2016,"url":"http://doi.org/10.1093/nar/gkw943","authors":"Piñero J, Bravo À, Queralt-Rosinach N, Gutiérrez-Sacristán A, Deu-Pons J, Centeno E, García-García J, Sanz F, Furlong LI.","journal":"Nucleic Acid Research","doi":"10.1093/nar/gkw943","created_at":"2021-09-30T08:27:05.045Z","updated_at":"2021-09-30T08:27:05.045Z"},{"id":2593,"pubmed_id":null,"title":"The DisGeNET cytoscape app: Exploring and visualizing disease genomics data","year":2021,"url":"https://doi.org/10.1016/j.csbj.2021.05.015","authors":"Janet Piñero, Josep Saüch, Ferran Sanz, Laura I.Furlong","journal":"Computational and Structural Biotechnology Journal","doi":null,"created_at":"2021-09-30T08:27:18.179Z","updated_at":"2021-09-30T08:27:18.179Z"},{"id":3002,"pubmed_id":31680165,"title":"The DisGeNET knowledge platform for disease genomics: 2019 update.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1021","authors":"Pinero J,Ramirez-Anguita JM,Sauch-Pitarch J,Ronzano F,Centeno E,Sanz F,Furlong LI","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1021","created_at":"2021-09-30T08:28:10.114Z","updated_at":"2021-09-30T11:29:49.489Z"}],"licence_links":[{"licence_name":"Disgenet Open Database License","licence_id":245,"licence_url":"http://www.disgenet.org/legal","link_id":1701,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1702,"relation":"undefined"}],"grants":[{"id":8293,"fairsharing_record_id":2146,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:31:56.382Z","updated_at":"2021-09-30T09:31:56.432Z","grant_id":1396,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115191","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1793,"fairsharing_record_id":2146,"organisation_id":2433,"relation":"funds","created_at":"2021-09-30T09:25:20.718Z","updated_at":"2021-09-30T09:25:20.718Z","grant_id":null,"is_lead":false,"saved_state":{"id":2433,"name":"Research Programme on Biomedical Informatics (IMIM, UPF)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1794,"fairsharing_record_id":2146,"organisation_id":1461,"relation":"maintains","created_at":"2021-09-30T09:25:20.760Z","updated_at":"2021-09-30T09:25:20.760Z","grant_id":null,"is_lead":false,"saved_state":{"id":1461,"name":"Integrative Biomedical Informatics Group (IBI), Research Programme on Biomedical Informatics (GRIB) IMIM-UPF, Barcelona, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1792,"fairsharing_record_id":2146,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:25:20.681Z","updated_at":"2021-09-30T09:29:39.376Z","grant_id":345,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115002","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1795,"fairsharing_record_id":2146,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:25:20.802Z","updated_at":"2021-09-30T09:31:49.310Z","grant_id":1342,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"CP10/00524","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8394,"fairsharing_record_id":2146,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:32:26.477Z","updated_at":"2021-09-30T09:32:26.537Z","grant_id":1621,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PI13/00082","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2147","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-14T09:32:45.714Z","metadata":{"doi":"10.25504/FAIRsharing.qv0f6x","name":"Manually Curated Database of Rice Proteins","status":"deprecated","contacts":[{"contact_name":"Saurabh Raghuvanshi","contact_email":"saurabh@genomeindia.org"}],"homepage":"http://www.genomeindia.org/biocuration","citations":[],"identifier":2147,"description":"The Manually Curated Database of Rice Proteins (MCDRP) is a manually-curated database based on published experimental data. The database contains data for rice proteins curated from experiments drawn from research articles. The database stores information including gene name, plant type, tissue and developmental stage. The homepage for this resource could not be loaded. Please contact us if you have any information regarding the current status of this resource.","abbreviation":"MCDRP","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genomeindia.org/biocuration/usr/feedback.php","type":"Contact form"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2024-06-14","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000619","bsg-d000619"],"name":"FAIRsharing record for: Manually Curated Database of Rice Proteins","abbreviation":"MCDRP","url":"https://fairsharing.org/10.25504/FAIRsharing.qv0f6x","doi":"10.25504/FAIRsharing.qv0f6x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Manually Curated Database of Rice Proteins (MCDRP) is a manually-curated database based on published experimental data. The database contains data for rice proteins curated from experiments drawn from research articles. The database stores information including gene name, plant type, tissue and developmental stage. The homepage for this resource could not be loaded. Please contact us if you have any information regarding the current status of this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany"],"domains":["Annotation","Protein interaction","Curated information","Digital curation","Protein","Literature curation","Biocuration"],"taxonomies":["Oryza sativa"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":617,"pubmed_id":24214963,"title":"Manually Curated Database of Rice Proteins","year":2013,"url":"http://doi.org/10.1093/nar/gkt1072","authors":"Gour P, Garg P, Jain R, Joseph SV, Tyagi AK, Raghuvanshi S.","journal":"Nucleic Acids Researh","doi":"10.1093/nar/gkt1072","created_at":"2021-09-30T08:23:27.903Z","updated_at":"2021-09-30T08:23:27.903Z"}],"licence_links":[],"grants":[{"id":1796,"fairsharing_record_id":2147,"organisation_id":3048,"relation":"maintains","created_at":"2021-09-30T09:25:20.839Z","updated_at":"2021-09-30T09:25:20.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":3048,"name":"University of Delhi, India","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1797,"fairsharing_record_id":2147,"organisation_id":686,"relation":"funds","created_at":"2021-09-30T09:25:20.872Z","updated_at":"2021-09-30T09:25:20.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":686,"name":"Department of Biotechnology, Ministry of Science and Technology, India","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2151","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:04.167Z","metadata":{"doi":"10.25504/FAIRsharing.rm14bx","name":"NeuroVault","status":"ready","contacts":[{"contact_name":"Chris Gorgolewski","contact_email":"krzysztof.gorgolewski@gmail.com","contact_orcid":"0000-0003-3321-7583"}],"homepage":"https://neurovault.org/","citations":[],"identifier":2151,"description":"The purpose of this database is to collect and distribute statistical maps of the human brain. Such maps are acquired by scientist all around the world using brain imaging techniques such as MRI or PET in a combined effort to map the functions and structures of the brain.","abbreviation":"NeuroVault","data_curation":{"type":"not found"},"support_links":[{"url":"http://neurovault.org/FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://neurostars.org/tag/neurovault","type":"Forum"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/NeuroVault/pyneurovault","name":"pyneurovault"},{"url":"http://www.neurosynth.org","name":"Neurosynth"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012842","name":"re3data:r3d100012842","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://neurovault.org/FAQ","name":"All of NeuroVault is backed up daily into off site storage. In addition all of the public collections that have been associated with a paper (through the DOI field) will be archived in Stanford Digital Repository (SDR). This operation is performed in bulk twice a year and ensures long term preservation of maps deposited in NeuroVault."},"data_deposition_condition":{"url":"https://neurovault.org/accounts/login/?next=/collections/new","type":"open","notes":"Registration required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000623","bsg-d000623"],"name":"FAIRsharing record for: NeuroVault","abbreviation":"NeuroVault","url":"https://fairsharing.org/10.25504/FAIRsharing.rm14bx","doi":"10.25504/FAIRsharing.rm14bx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of this database is to collect and distribute statistical maps of the human brain. Such maps are acquired by scientist all around the world using brain imaging techniques such as MRI or PET in a combined effort to map the functions and structures of the brain.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10979}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Functional magnetic resonance imaging","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","Germany","United Kingdom","United States"],"publications":[{"id":778,"pubmed_id":25914639,"title":"NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain.","year":2015,"url":"http://doi.org/10.3389/fninf.2015.00008","authors":"Gorgolewski KJ,Varoquaux G,Rivera G,Schwarz Y,Ghosh SS,Maumet C,Sochat VV,Nichols TE,Poldrack RA,Poline JB,Yarkoni T,Margulies DS","journal":"Front Neuroinform","doi":"10.3389/fninf.2015.00008","created_at":"2021-09-30T08:23:45.728Z","updated_at":"2021-09-30T08:23:45.728Z"},{"id":1020,"pubmed_id":25869863,"title":"NeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain.","year":2015,"url":"http://doi.org/S1053-8119(15)00306-7","authors":"Gorgolewski KJ, Varoquaux G, Rivera G, Schwartz Y, Sochat VV, Ghosh SS, Maumet C, Nichols TE, Poline JB, Yarkoni T, Margulies DS, Poldrack RA","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2015.04.016","created_at":"2021-09-30T08:24:12.965Z","updated_at":"2021-09-30T08:24:12.965Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2433,"relation":"undefined"}],"grants":[{"id":1804,"fairsharing_record_id":2151,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:25:21.106Z","updated_at":"2021-09-30T09:25:21.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1809,"fairsharing_record_id":2151,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:21.244Z","updated_at":"2021-09-30T09:29:47.014Z","grant_id":400,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCI-1131441","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1808,"fairsharing_record_id":2151,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:21.213Z","updated_at":"2021-09-30T09:31:08.052Z","grant_id":1032,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"100309","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1805,"fairsharing_record_id":2151,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:25:21.129Z","updated_at":"2021-09-30T09:25:21.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1806,"fairsharing_record_id":2151,"organisation_id":1785,"relation":"maintains","created_at":"2021-09-30T09:25:21.160Z","updated_at":"2021-09-30T09:25:21.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1785,"name":"Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1810,"fairsharing_record_id":2151,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:21.285Z","updated_at":"2021-09-30T09:30:50.941Z","grant_id":900,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01MH096906","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8459,"fairsharing_record_id":2151,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:44.193Z","updated_at":"2021-09-30T09:32:44.246Z","grant_id":1755,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"T15 LM007033","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12029,"fairsharing_record_id":2151,"organisation_id":2622,"relation":"maintains","created_at":"2024-07-08T14:51:32.071Z","updated_at":"2024-07-08T14:51:32.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":2622,"name":"Stanford Libraries, Stanford University, Stanford, California, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2152","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:13.356Z","metadata":{"doi":"10.25504/FAIRsharing.y6w78m","name":"Coherent X-ray Imaging Data Bank","status":"ready","contacts":[{"contact_name":"Filipe Maia","contact_email":"filipe@xray.bmc.uu.se","contact_orcid":"0000-0002-2141-438X"}],"homepage":"http://cxidb.org/","citations":[],"identifier":2152,"description":"The Coherent X-ray Imaging Data Bank (CXIDB) offers scientists from all over the world a unique opportunity to access data from Coherent X-ray Imaging (CXI) experiments. It arose from the need to share the terabytes of data generated from X-ray free-electron laser experiments although it caters to all light sources. Accessibility is crucial not only to make efficient use of experimental facilities, but also to improve the reproducibility of results and enable new research based on previous experiments.","abbreviation":"CXIDB","data_curation":{"url":"https://raw.githubusercontent.com/cxidb/CXI/master/cxi_file_format.pdf","type":"manual/automated"},"support_links":[{"url":"cxidb@cxidb.org","type":"Support email"},{"url":"https://groups.google.com/forum/#!forum/cxidb","type":"Forum"},{"url":"cxidb@googlegroups.com","type":"Mailing list"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://cxidb.org/resources.html#unit_conversion","name":"Light to Energy Unit Conversion"},{"url":"https://github.com/antonbarty/cheetah","name":"Cheetah"},{"url":"https://www.desy.de/~twhite/crystfel/development.html","name":"CrystFEL 0.9.1"},{"url":"https://github.com/FXIhub/spsim","name":"Spsim"},{"url":"https://github.com/FXIhub/hawk","name":"Hawk"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011554","name":"re3data:r3d100011554","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014722","name":"SciCrunch:RRID:SCR_014722","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.cxidb.org/browse.html","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cxidb.org/deposit.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000624","bsg-d000624"],"name":"FAIRsharing record for: Coherent X-ray Imaging Data Bank","abbreviation":"CXIDB","url":"https://fairsharing.org/10.25504/FAIRsharing.y6w78m","doi":"10.25504/FAIRsharing.y6w78m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Coherent X-ray Imaging Data Bank (CXIDB) offers scientists from all over the world a unique opportunity to access data from Coherent X-ray Imaging (CXI) experiments. It arose from the need to share the terabytes of data generated from X-ray free-electron laser experiments although it caters to all light sources. Accessibility is crucial not only to make efficient use of experimental facilities, but also to improve the reproducibility of results and enable new research based on previous experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10980}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Organic Chemistry","Life Science"],"domains":["Molecular structure","X-ray diffraction","Imaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden","United States"],"publications":[{"id":647,"pubmed_id":22936162,"title":"The Coherent X-ray Imaging Data Bank","year":2012,"url":"http://doi.org/10.1038/nmeth.2110","authors":"Maia, F. R. N. C.","journal":"Nat. Methods","doi":"doi:10.1038/nmeth.2110","created_at":"2021-09-30T08:23:31.213Z","updated_at":"2021-09-30T08:23:31.213Z"}],"licence_links":[],"grants":[{"id":1816,"fairsharing_record_id":2152,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:25:21.516Z","updated_at":"2021-09-30T09:25:21.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1811,"fairsharing_record_id":2152,"organisation_id":1985,"relation":"maintains","created_at":"2021-09-30T09:25:21.327Z","updated_at":"2021-09-30T09:25:21.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":1985,"name":"National Energy Research Scientific Computing Center (NERSC), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1813,"fairsharing_record_id":2152,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:25:21.399Z","updated_at":"2021-09-30T09:25:21.399Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1814,"fairsharing_record_id":2152,"organisation_id":2672,"relation":"funds","created_at":"2021-09-30T09:25:21.435Z","updated_at":"2021-09-30T09:25:21.435Z","grant_id":null,"is_lead":false,"saved_state":{"id":2672,"name":"Swedish Foundation for Strategic Research, Stockholm, Sweden","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1815,"fairsharing_record_id":2152,"organisation_id":2524,"relation":"funds","created_at":"2021-09-30T09:25:21.477Z","updated_at":"2021-09-30T09:25:21.477Z","grant_id":null,"is_lead":false,"saved_state":{"id":2524,"name":"Scientific Discovery Through Advanced Computing, U.S. Department of Energy, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9397,"fairsharing_record_id":2152,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.650Z","updated_at":"2022-04-11T12:07:35.650Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2149","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:26.535Z","metadata":{"doi":"10.25504/FAIRsharing.qw7qtk","name":"The MOuse NOnCode Lung database","status":"ready","contacts":[{"contact_email":"support@monocldb.org"}],"homepage":"https://www.monocldb.org","citations":[],"identifier":2149,"description":"MONOCLdb is an integrative and interactive database designed to retrieve and visualize annotations and expression profiles of long-non coding RNAs (lncRNAs) expressed in Collaborative Cross (http://compgen.unc.edu/) founder mice in response to respiratory influenza and SARS infections.","abbreviation":"MONOCLdb","data_curation":{"url":"https://www.monocldb.org/index.php?page=about","type":"automated","notes":"Using annotation computational methods"},"support_links":[{"url":"http://www.monocldb.org/About","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"https://www.monocldb.org/index.php?page=expression-heatmap","name":"Expression Heatmap"},{"url":"https://www.monocldb.org/index.php?page=module-based-enrichment","name":"Module-based Enrichment"},{"url":"https://www.monocldb.org/index.php?page=rank-based-enrichment","name":"Rank-based Enrichment"},{"url":"https://www.monocldb.org/index.php?page=co-expression-network","name":"Co-expression Network"},{"url":"https://www.monocldb.org/index.php?page=genomic-annotations","name":"Genomic Annotations"},{"url":"https://www.monocldb.org/index.php?page=pathogenicity-association","name":"Pathogenicity Association"},{"url":"https://www.monocldb.org/index.php?page=distributed-annotation-system","name":"Distributed Annotation System"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000621","bsg-d000621"],"name":"FAIRsharing record for: The MOuse NOnCode Lung database","abbreviation":"MONOCLdb","url":"https://fairsharing.org/10.25504/FAIRsharing.qw7qtk","doi":"10.25504/FAIRsharing.qw7qtk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MONOCLdb is an integrative and interactive database designed to retrieve and visualize annotations and expression profiles of long-non coding RNAs (lncRNAs) expressed in Collaborative Cross (http://compgen.unc.edu/) founder mice in response to respiratory influenza and SARS infections.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12704}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics"],"domains":["RNA sequence","Gene Ontology enrichment","Molecular interaction","Genetic interaction","Genome","Long non-coding RNA"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBajRCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a810799a16fc9d8705a6bb7851a208306bc41f48/mono.png?disposition=inline","exhaustive_licences":false}},{"id":"2153","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:13.245Z","metadata":{"doi":"10.25504/FAIRsharing.ajpk6x","name":"International Neuroimaging Data-Sharing Initiative","status":"ready","contacts":[{"contact_name":"Michael Milham","contact_email":"michael.milham@childmind.org","contact_orcid":"0000-0003-3532-1210"}],"homepage":"http://fcon_1000.projects.nitrc.org/","citations":[],"identifier":2153,"description":"Database for open data sharing of resting-state fMRI and DTI images collected from over 50 sites around the world. These data collections now contain comprehensive phentoypic information, openly available via data usage agreements.","abbreviation":"INDI","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.nitrc.org/forum/?group_id=296","type":"Forum"},{"url":"https://www.nitrc.org/plugins/mwiki/index.php/fcon_1000:MainPage","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://fcp-indi.github.io/","name":"C-PAC 0.33"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011555","name":"re3data:r3d100011555","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_015771","name":"SciCrunch:RRID:SCR_015771","portal":"SciCrunch"}],"data_access_condition":{"url":"https://fcon_1000.projects.nitrc.org/","type":"open","notes":"Registration required to access data"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.nitrc.org/plugins/mwiki/index.php?title=fcon_1000:Contrib","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000625","bsg-d000625"],"name":"FAIRsharing record for: International Neuroimaging Data-Sharing Initiative","abbreviation":"INDI","url":"https://fairsharing.org/10.25504/FAIRsharing.ajpk6x","doi":"10.25504/FAIRsharing.ajpk6x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database for open data sharing of resting-state fMRI and DTI images collected from over 50 sites around the world. These data collections now contain comprehensive phentoypic information, openly available via data usage agreements.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10981},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11104}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Functional magnetic resonance imaging","Diffusion tensor imaging","Phenotype","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","China","Germany","Netherlands","United States"],"publications":[{"id":625,"pubmed_id":23123682,"title":"Making data sharing work: the FCP/INDI experience.","year":2012,"url":"http://doi.org/10.1016/j.neuroimage.2012.10.064","authors":"Mennes M, Biswal BB, Castellanos FX, Milham MP","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2012.10.064","created_at":"2021-09-30T08:23:28.726Z","updated_at":"2021-09-30T08:23:28.726Z"},{"id":1843,"pubmed_id":22284177,"title":"Open neuroscience solutions for the connectome-wide association era.","year":2012,"url":"http://doi.org/10.1016/j.neuron.2011.11.004","authors":"Milham MP","journal":"Neuron","doi":"10.1016/j.neuron.2011.11.004.","created_at":"2021-09-30T08:25:46.981Z","updated_at":"2021-09-30T08:25:46.981Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":2436,"relation":"undefined"}],"grants":[{"id":1818,"fairsharing_record_id":2153,"organisation_id":1943,"relation":"maintains","created_at":"2021-09-30T09:25:21.592Z","updated_at":"2021-09-30T09:25:21.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1943,"name":"Nathan S. Kline Institute for Psychiatric Research (NKI), Orangeburg, NY, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1817,"fairsharing_record_id":2153,"organisation_id":2037,"relation":"maintains","created_at":"2021-09-30T09:25:21.552Z","updated_at":"2021-09-30T09:25:21.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":2037,"name":"National Institutes of Health (NIH) Blueprint for Neuroscience Research, Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1819,"fairsharing_record_id":2153,"organisation_id":504,"relation":"funds","created_at":"2021-09-30T09:25:21.622Z","updated_at":"2021-09-30T09:25:21.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":504,"name":"Child Mind Institute, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2154","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:30.182Z","metadata":{"doi":"10.25504/FAIRsharing.kj4pvk","name":"SciCrunch Data Dashboard","status":"ready","contacts":[{"contact_email":"info@scicrunch.org"}],"homepage":"https://scicrunch.org/browse/datadashboard","citations":[],"identifier":2154,"description":"The SciCrunch Data Dashboard is a data sharing and display platform that pulls information from primary data repositories. Anyone can create a custom portal where they can select searchable subsets of hundreds of data sources, brand their web pages and create their community. SciCrunch will push data updates automatically to all portals on a weekly basis. SciCrunch resource registry is the new name of the NIF registry. ","abbreviation":"SciCrunch","data_curation":{"type":"not found"},"support_links":[{"url":"https://scicrunch.org/page/tutorials","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://scicrunch.org/browse/datadashboard","type":"controlled","notes":"Sharing new databases via email"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000626","bsg-d000626"],"name":"FAIRsharing record for: SciCrunch Data Dashboard","abbreviation":"SciCrunch","url":"https://fairsharing.org/10.25504/FAIRsharing.kj4pvk","doi":"10.25504/FAIRsharing.kj4pvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SciCrunch Data Dashboard is a data sharing and display platform that pulls information from primary data repositories. Anyone can create a custom portal where they can select searchable subsets of hundreds of data sources, brand their web pages and create their community. SciCrunch will push data updates automatically to all portals on a weekly basis. SciCrunch resource registry is the new name of the NIF registry. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science"],"domains":["Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1283,"pubmed_id":26599696,"title":"The Resource Identification Initiative: A Cultural Shift in Publishing.","year":2015,"url":"http://doi.org/10.1002/cne.23913","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan SC,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"J Comp Neurol","doi":"10.1002/cne.23913","created_at":"2021-09-30T08:24:43.216Z","updated_at":"2021-09-30T08:24:43.216Z"}],"licence_links":[{"licence_name":"SciCrunch Terms of Service","licence_id":735,"licence_url":"https://scicrunch.org/page/terms","link_id":3019,"relation":"applies_to_content"}],"grants":[{"id":1820,"fairsharing_record_id":2154,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:21.649Z","updated_at":"2021-09-30T09:25:21.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10211,"fairsharing_record_id":2154,"organisation_id":989,"relation":"maintains","created_at":"2022-12-06T09:23:18.349Z","updated_at":"2022-12-06T09:23:18.349Z","grant_id":null,"is_lead":true,"saved_state":{"id":989,"name":"FAIR Data Informatics Laboratory","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2150","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:03.112Z","metadata":{"doi":"10.25504/FAIRsharing.17z0yf","name":"iSpyBio","status":"ready","contacts":[{"contact_name":"Tillmann Ziegert","contact_email":"tillmann.ziegert@biorbyt.com"}],"homepage":"http://www.ispybio.com/","identifier":2150,"description":"iSpyBio is an intelligent and unbiased search engine for Life scientists. It ranks reagents by the number of data such as publications, reviews, characterization images and tested applications. It displays over 500,000 reagents such as antibodies, proteins, ELISA kits and biomolecules. iSpyBio’s proprietary search algorithm is unique and rapidly analyzes the end-users search query against its large database. Powerful filters allow the user to enhance the search results, for example if they want a protein expressed in yeast or an antibody that only works in mouse. As iSpyBio syncs with supplier and other public databases, it is always up-to-date. This allows iSpyBio to exclude out of stock items but show the most recent testing results and peer-reviewed publications.","abbreviation":"iSpyBio","data_curation":{"type":"manual/automated"},"support_links":[{"url":"info@ispybio.com","type":"Support email"},{"url":"https://twitter.com/iSpyBio","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000622","bsg-d000622"],"name":"FAIRsharing record for: iSpyBio","abbreviation":"iSpyBio","url":"https://fairsharing.org/10.25504/FAIRsharing.17z0yf","doi":"10.25504/FAIRsharing.17z0yf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iSpyBio is an intelligent and unbiased search engine for Life scientists. It ranks reagents by the number of data such as publications, reviews, characterization images and tested applications. It displays over 500,000 reagents such as antibodies, proteins, ELISA kits and biomolecules. iSpyBio’s proprietary search algorithm is unique and rapidly analyzes the end-users search query against its large database. Powerful filters allow the user to enhance the search results, for example if they want a protein expressed in yeast or an antibody that only works in mouse. As iSpyBio syncs with supplier and other public databases, it is always up-to-date. This allows iSpyBio to exclude out of stock items but show the most recent testing results and peer-reviewed publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Reagent","Antibody","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"iSpyBio Privacy Policy","licence_id":459,"licence_url":"http://www.ispybio.com/search/privacy","link_id":829,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2237","type":"fairsharing_records","attributes":{"created_at":"2015-11-20T07:45:08.000Z","updated_at":"2023-12-15T10:32:31.653Z","metadata":{"doi":"10.25504/FAIRsharing.q33qzy","name":"HGTree","status":"ready","contacts":[{"contact_name":"Arshan Nasir","contact_email":"arshan_nasir@comsats.edu.pk","contact_orcid":"0000-0001-7200-0788"}],"homepage":"http://hgtree.snu.ac.kr","identifier":2237,"description":"The HGTree database provides putative genome-wide horizontal gene transfer (HGT) information for 2,472 completely sequenced prokaryotic genomes. HGT detection is based on an explicit evolutionary model of tree reconstruction and relies on evaluating the conflicts between phylogenetic tree of each orthologous gene set and corresponding 16S rRNA species tree. The database provides quick and easy access to HGT-related genes in hundreds of prokaryotic genomes and provides functionalities to detect HGT in user-customized datasets and gene and genome sequences. The database is freely available and can be easily scaled and updated to keep pace with the rapid rise in genomic information.","abbreviation":"HGTree","data_curation":{"url":"http://hgtree.snu.ac.kr/background.php?access=b","type":"automated"},"support_links":[{"url":"http://hgtree.snu.ac.kr/tutorial.php?access=t","type":"Training documentation"},{"url":"https://twitter.com/NasirArshan","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000711","bsg-d000711"],"name":"FAIRsharing record for: HGTree","abbreviation":"HGTree","url":"https://fairsharing.org/10.25504/FAIRsharing.q33qzy","doi":"10.25504/FAIRsharing.q33qzy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HGTree database provides putative genome-wide horizontal gene transfer (HGT) information for 2,472 completely sequenced prokaryotic genomes. HGT detection is based on an explicit evolutionary model of tree reconstruction and relies on evaluating the conflicts between phylogenetic tree of each orthologous gene set and corresponding 16S rRNA species tree. The database provides quick and easy access to HGT-related genes in hundreds of prokaryotic genomes and provides functionalities to detect HGT in user-customized datasets and gene and genome sequences. The database is freely available and can be easily scaled and updated to keep pace with the rapid rise in genomic information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Phylogenetics","Life Science","Microbiology"],"domains":[],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["Pakistan","South Korea"],"publications":[{"id":872,"pubmed_id":null,"title":"HGTree: database of horizontally transferred genes determined by tree reconciliation","year":2015,"url":"http://doi.org/10.1093/nar/gkv1245","authors":"Hyeonsoo Jeong, Samsun Sung, Taehyung Kwon, Minseok Seo, Kelsey Caetano-Anollés, Sang Ho Choi5, Seoae Cho, Arshan Nasir, and Heebal Kim","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1245","created_at":"2021-09-30T08:23:56.321Z","updated_at":"2021-09-30T08:23:56.321Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":917,"relation":"undefined"}],"grants":[{"id":2080,"fairsharing_record_id":2237,"organisation_id":1245,"relation":"funds","created_at":"2021-09-30T09:25:31.213Z","updated_at":"2021-09-30T09:25:31.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":1245,"name":"Higher Education Commission, Pakistan","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2079,"fairsharing_record_id":2237,"organisation_id":1867,"relation":"funds","created_at":"2021-09-30T09:25:31.179Z","updated_at":"2021-09-30T09:31:25.450Z","grant_id":1163,"is_lead":false,"saved_state":{"id":1867,"name":"Ministry of Food and Drug Safety, South Korea","grant":"14162MFDS 972","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2077,"fairsharing_record_id":2237,"organisation_id":2547,"relation":"maintains","created_at":"2021-09-30T09:25:31.121Z","updated_at":"2021-09-30T09:25:31.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":2547,"name":"Seoul National University, South Korea","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2078,"fairsharing_record_id":2237,"organisation_id":593,"relation":"maintains","created_at":"2021-09-30T09:25:31.150Z","updated_at":"2021-09-30T09:25:31.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":593,"name":"Comsats Institute of Information Technology (CIIT), Islamabad, Pakistan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2238","type":"fairsharing_records","attributes":{"created_at":"2015-11-24T15:42:14.000Z","updated_at":"2024-05-09T08:40:50.698Z","metadata":{"doi":"10.25504/FAIRsharing.8bva0r","name":"BioXpress","status":"deprecated","contacts":[{"contact_name":"Quan Wan","contact_email":"wanquan@gwmail.gwu.edu"}],"homepage":"https://hive.biochemistry.gwu.edu/tools/bioxpress/","citations":[],"identifier":2238,"description":"BioXpress is a curated gene expression and disease association database where the expression levels are mapped to genes.","abbreviation":"BioXpress","data_curation":{"type":"not found"},"support_links":[{"url":"https://hive.biochemistry.gwu.edu/hive.cgi?cmd=contact","type":"Contact form"},{"url":"https://hive.biochemistry.gwu.edu/hive.cgi?cmd=main-about#training","type":"Training documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2024-05-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000712","bsg-d000712"],"name":"FAIRsharing record for: BioXpress","abbreviation":"BioXpress","url":"https://fairsharing.org/10.25504/FAIRsharing.8bva0r","doi":"10.25504/FAIRsharing.8bva0r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioXpress is a curated gene expression and disease association database where the expression levels are mapped to genes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12730}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["Expression data","Ribonucleic acid","Next generation DNA sequencing"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":880,"pubmed_id":25819073,"title":"BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis.","year":2015,"url":"http://doi.org/10.1093/database/bav019","authors":"Quan Wan","journal":"Database (Oxford).","doi":"10.1093/database/bav019","created_at":"2021-09-30T08:23:57.137Z","updated_at":"2021-09-30T08:23:57.137Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":914,"relation":"undefined"}],"grants":[{"id":2082,"fairsharing_record_id":2238,"organisation_id":1130,"relation":"maintains","created_at":"2021-09-30T09:25:31.269Z","updated_at":"2021-09-30T09:25:31.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":1130,"name":"George Washington University, DC, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2081,"fairsharing_record_id":2238,"organisation_id":802,"relation":"funds","created_at":"2021-09-30T09:25:31.246Z","updated_at":"2021-09-30T09:29:19.486Z","grant_id":196,"is_lead":false,"saved_state":{"id":802,"name":"Early Detection Research Network (EDRN), National Cancer Institute (NCI), USA","grant":"156620","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2239","type":"fairsharing_records","attributes":{"created_at":"2015-11-27T02:05:56.000Z","updated_at":"2023-12-15T10:32:18.129Z","metadata":{"doi":"10.25504/FAIRsharing.bya6z","name":"Super-Enhancer Archive","status":"ready","contacts":[{"contact_name":"Yan Zhang","contact_email":"tyozhang@ems.hrbmu.edu.cn"}],"homepage":"http://sea.edbc.org/","identifier":2239,"description":"SEA (Super-Enhancer Archive) is a web-based comprehensive resource focusing on the collection, storage and online analysis of super-enhancers. It focuses on integrating super-enhancers in multiple species and annotating their potential roles in the regulation of cell identity gene expression. To facilitate data extraction, SEA supports multiple search options, including species, genome location, gene name, cell type/tissue, and super-enhancer name.","abbreviation":"SEA","data_curation":{"url":"http://sea.edbc.org/","type":"automated"},"support_links":[{"url":"http://www.bio-bigdata.com/SEA/contact.html","type":"Contact form"},{"url":"http://www.bio-bigdata.com/SEA/help.html","type":"Help documentation"},{"url":"http://www.bio-bigdata.com/SEA/docs/","type":"Help documentation"}],"data_versioning":"no","associated_tools":[{"url":"http://www.bio-bigdata.com/SEA/analyze.html","name":"Data Analysis 1.0"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000713","bsg-d000713"],"name":"FAIRsharing record for: Super-Enhancer Archive","abbreviation":"SEA","url":"https://fairsharing.org/10.25504/FAIRsharing.bya6z","doi":"10.25504/FAIRsharing.bya6z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SEA (Super-Enhancer Archive) is a web-based comprehensive resource focusing on the collection, storage and online analysis of super-enhancers. It focuses on integrating super-enhancers in multiple species and annotating their potential roles in the regulation of cell identity gene expression. To facilitate data extraction, SEA supports multiple search options, including species, genome location, gene name, cell type/tissue, and super-enhancer name.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12731}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Epigenetics","Bioinformatics","Life Science"],"domains":["Taxonomic classification","Enhancer","Regulation of gene expression","Transcription factor","Chromatin immunoprecipitation - DNA sequencing"],"taxonomies":["All","Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":884,"pubmed_id":26578594,"title":"SEA: a super-enhancer archive.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1243","authors":"Yanjun Wei, Shumei Zhang, Shipeng Shang, Bin Zhang, Song Li, Xinyu Wang, Fang Wang, Jianzhong Su, Qiong Wu, Hongbo Liu, Yan Zhang*","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkv1243","created_at":"2021-09-30T08:23:57.621Z","updated_at":"2021-09-30T08:23:57.621Z"}],"licence_links":[],"grants":[{"id":9061,"fairsharing_record_id":2239,"organisation_id":554,"relation":"funds","created_at":"2022-03-29T17:10:44.285Z","updated_at":"2022-03-29T17:10:44.285Z","grant_id":782,"is_lead":false,"saved_state":{"id":554,"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China","grant":"YJSCX2014–23HYD","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2084,"fairsharing_record_id":2239,"organisation_id":554,"relation":"maintains","created_at":"2021-09-30T09:25:31.319Z","updated_at":"2021-09-30T09:25:31.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":554,"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2089,"fairsharing_record_id":2239,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:25:31.445Z","updated_at":"2021-09-30T09:25:31.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2085,"fairsharing_record_id":2239,"organisation_id":554,"relation":"funds","created_at":"2021-09-30T09:25:31.344Z","updated_at":"2021-09-30T09:29:11.727Z","grant_id":134,"is_lead":false,"saved_state":{"id":554,"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China","grant":"2015RAXXJ052","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2083,"fairsharing_record_id":2239,"organisation_id":1203,"relation":"maintains","created_at":"2021-09-30T09:25:31.295Z","updated_at":"2021-09-30T09:25:31.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":1203,"name":"Group of Computational Epigenetic Research (GCER), Harbin, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2087,"fairsharing_record_id":2239,"organisation_id":1659,"relation":"maintains","created_at":"2021-09-30T09:25:31.396Z","updated_at":"2021-09-30T09:25:31.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":1659,"name":"Lab of Developmental Biology, Harbin Institute of Technology, Harbin, China","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2240","type":"fairsharing_records","attributes":{"created_at":"2015-11-27T10:02:47.000Z","updated_at":"2023-12-15T10:31:39.070Z","metadata":{"doi":"10.25504/FAIRsharing.k5a3yt","name":"Big Data Nucleic Acid Simulations Database","status":"ready","contacts":[{"contact_name":"Adam Hospital Gasch","contact_email":"adam.hospital@irbbarcelona.org","contact_orcid":"0000-0002-8291-8071"}],"homepage":"http://mmb.irbbarcelona.org/BIGNASim","identifier":2240,"description":"Atomistic Molecular Dynamics Simulation Trajectories and Analyses of Nucleic Acid Structures. BIGNASim is a complete platform to hold and analyse nucleic acids simulation data, based on two noSQL database engines: Cassandra to hold trajectory data and MongoDB for analyses and metadata. Most common analyses (helical parameters, NMR observables, sitffness, hydrogen bonding and stacking energies and geometries) are pre-calculated for the trajectories available and shown using the interactive visualization offered by NAFlex interface. Additionaly, whole trajectories, fragments or meta-trajectories can be analysed or downloaded for further in-house processing.","abbreviation":"BIGNASim","data_curation":{"url":"https://mmb.irbbarcelona.org/BigNASim/help.php?id=submission","type":"manual/automated"},"support_links":[{"url":"http://mmb.irbbarcelona.org/BigNASim/help.php","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"http://mmb.irbbarcelona.org/NAFlex","name":"NAFlex 1"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://mmb.irbbarcelona.org/BigNASim/help.php?id=submission","type":"open","notes":"Data should be linked to published or submitted article(s)."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000714","bsg-d000714"],"name":"FAIRsharing record for: Big Data Nucleic Acid Simulations Database","abbreviation":"BIGNASim","url":"https://fairsharing.org/10.25504/FAIRsharing.k5a3yt","doi":"10.25504/FAIRsharing.k5a3yt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Atomistic Molecular Dynamics Simulation Trajectories and Analyses of Nucleic Acid Structures. BIGNASim is a complete platform to hold and analyse nucleic acids simulation data, based on two noSQL database engines: Cassandra to hold trajectory data and MongoDB for analyses and metadata. Most common analyses (helical parameters, NMR observables, sitffness, hydrogen bonding and stacking energies and geometries) are pre-calculated for the trajectories available and shown using the interactive visualization offered by NAFlex interface. Additionaly, whole trajectories, fragments or meta-trajectories can be analysed or downloaded for further in-house processing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Nucleic acid sequence","Modeling and simulation","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":876,"pubmed_id":null,"title":"BIGNASim: a NoSQL database structure and analysis portal for nucleic acids simulation data","year":2015,"url":"http://mmb.irbbarcelona.org/BigNASim/dat/SupplMat.pdf","authors":"Adam Hospital, Pau Andrio, Cesare Cugnasco, Laia Codo, Yolanda Becerra, Pablo D. Dans, Federica Battistini, Jordi Torres, Ramon Goñí, Modesto Orozco and Josep Lluís Gelpí","journal":"Nucleic Acids Research, Database Issue","doi":"10.1093/nar/gkv1301","created_at":"2021-09-30T08:23:56.721Z","updated_at":"2021-09-30T08:23:56.721Z"}],"licence_links":[],"grants":[{"id":2094,"fairsharing_record_id":2240,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:25:31.593Z","updated_at":"2021-09-30T09:25:31.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2096,"fairsharing_record_id":2240,"organisation_id":167,"relation":"maintains","created_at":"2021-09-30T09:25:31.677Z","updated_at":"2021-09-30T09:25:31.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":167,"name":"Barcelona Supercomputing Center (BSC), Barcelona, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2093,"fairsharing_record_id":2240,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:25:31.555Z","updated_at":"2021-09-30T09:29:38.136Z","grant_id":336,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PT13/0001/0028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2090,"fairsharing_record_id":2240,"organisation_id":1392,"relation":"maintains","created_at":"2021-09-30T09:25:31.469Z","updated_at":"2021-09-30T09:25:31.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":1392,"name":"Institute for Research in Biomedicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2091,"fairsharing_record_id":2240,"organisation_id":1193,"relation":"funds","created_at":"2021-09-30T09:25:31.495Z","updated_at":"2021-09-30T09:25:31.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":1193,"name":"Government of Catalonia, Spain","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2092,"fairsharing_record_id":2240,"organisation_id":383,"relation":"maintains","created_at":"2021-09-30T09:25:31.523Z","updated_at":"2021-09-30T09:25:31.523Z","grant_id":null,"is_lead":false,"saved_state":{"id":383,"name":"Cataland Institution for Research and Advanced Studies (ICREA), Catalunya, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2097,"fairsharing_record_id":2240,"organisation_id":168,"relation":"maintains","created_at":"2021-09-30T09:25:31.714Z","updated_at":"2021-09-30T09:25:31.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":168,"name":"Barcelona University, Barcelona, Spain","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8287,"fairsharing_record_id":2240,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:31:54.766Z","updated_at":"2021-09-30T09:31:54.808Z","grant_id":1383,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PT13/0001/0019","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9214,"fairsharing_record_id":2240,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.830Z","updated_at":"2022-04-11T12:07:22.830Z","grant_id":null,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2241","type":"fairsharing_records","attributes":{"created_at":"2015-11-30T16:54:38.000Z","updated_at":"2024-03-25T16:30:55.253Z","metadata":{"doi":"10.25504/FAIRsharing.p7ev6e","name":"SigMol","status":"deprecated","contacts":[{"contact_name":"Manoj Kumar","contact_email":"manojk@imtech.res.in","contact_orcid":"0000-0003-3769-052X"}],"homepage":"https://bioinfo.imtech.res.in/manojk/sigmol/","citations":[],"identifier":2241,"description":"SigMol is a specialized repository of quorom sensing signaling molecules (QSSMs) in prokaryotes. SigMol harbors information on QSSMs pertaining to different quorum sensing signaling systems namely acylated homoserine lactones (AHLs), diketopiperazines (DKPs), 4- hydroxy-2-alkylquinolines (HAQs), diffusible signal factors (DSFs), autoinducer-2 (AI-2) and others. The database includes biological as well as chemical aspects of signaling molecules. Biological information includes genes, preliminary bioassays, identification assays and applications, while chemical detail comprises of IUPAC name, SMILES and structure.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/faqs.php","name":"Frequently asked questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/help.php","name":"Help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/compare.php","name":"Compare QSSMs"},{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/draw.php","name":"Draw QSMMs"}],"deprecation_date":"2024-03-25","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000715","bsg-d000715"],"name":"FAIRsharing record for: SigMol","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.p7ev6e","doi":"10.25504/FAIRsharing.p7ev6e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SigMol is a specialized repository of quorom sensing signaling molecules (QSSMs) in prokaryotes. SigMol harbors information on QSSMs pertaining to different quorum sensing signaling systems namely acylated homoserine lactones (AHLs), diketopiperazines (DKPs), 4- hydroxy-2-alkylquinolines (HAQs), diffusible signal factors (DSFs), autoinducer-2 (AI-2) and others. The database includes biological as well as chemical aspects of signaling molecules. Biological information includes genes, preliminary bioassays, identification assays and applications, while chemical detail comprises of IUPAC name, SMILES and structure.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11780}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biochemistry"],"domains":["Signaling","Assay","Structure","Gene"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":837,"pubmed_id":26490957,"title":"SigMol: repertoire of quorum sensing signaling molecules in prokaryotes","year":2015,"url":"http://doi.org/10.1093/nar/gkv1076","authors":"Akanksha Rajput, Karambir Kaur and Manoj Kumar*","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1076","created_at":"2021-09-30T08:23:52.379Z","updated_at":"2021-09-30T08:23:52.379Z"}],"licence_links":[],"grants":[{"id":2099,"fairsharing_record_id":2241,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:25:31.770Z","updated_at":"2021-09-30T09:28:56.544Z","grant_id":25,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research","grant":"GENESIS-BSC0121","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9059,"fairsharing_record_id":2241,"organisation_id":1425,"relation":"maintains","created_at":"2022-03-29T09:58:46.476Z","updated_at":"2024-01-23T13:39:20.647Z","grant_id":null,"is_lead":true,"saved_state":{"id":1425,"name":"Institute of Microbial Technology, Council of Scientific \u0026 Industrial Research","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2100,"fairsharing_record_id":2241,"organisation_id":686,"relation":"funds","created_at":"2021-09-30T09:25:31.795Z","updated_at":"2021-09-30T09:29:30.586Z","grant_id":277,"is_lead":false,"saved_state":{"id":686,"name":"Department of Biotechnology, Ministry of Science and Technology, India","grant":"GAP0001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbDREIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--61bc56c5a63802057ac35bcd191c97fb8b572db8/Screenshot%20from%202024-01-23%2013-36-39.png?disposition=inline","exhaustive_licences":false}},{"id":"2242","type":"fairsharing_records","attributes":{"created_at":"2015-11-30T17:56:25.000Z","updated_at":"2023-12-15T10:32:24.733Z","metadata":{"doi":"10.25504/FAIRsharing.g0c5qn","name":"enviPath","status":"ready","contacts":[{"contact_name":"Jörg Wicker","contact_email":"admin@envipath.org","contact_orcid":"0000-0003-0533-3368"}],"homepage":"https://envipath.org","citations":[{"doi":"10.1093/nar/gkv1229","pubmed_id":26582924,"publication_id":1807}],"identifier":2242,"description":"enviPath is both a database and a prediction system, for the microbial biotransformation of organic environmental contaminants. The database provides the possibility to store and view experimentally observed biotransformation pathways, and supports the annotation of pathways with experimental and environmental conditions. The pathway prediction system provides different relative reasoning models to predict likely biotransformation pathways and products.","abbreviation":"enviPath","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/envipath","type":"Twitter"},{"url":"https://wiki.envipath.com/index.php/Main_Page","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012715","name":"re3data:r3d100012715","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000716","bsg-d000716"],"name":"FAIRsharing record for: enviPath","abbreviation":"enviPath","url":"https://fairsharing.org/10.25504/FAIRsharing.g0c5qn","doi":"10.25504/FAIRsharing.g0c5qn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: enviPath is both a database and a prediction system, for the microbial biotransformation of organic environmental contaminants. The database provides the possibility to store and view experimentally observed biotransformation pathways, and supports the annotation of pathways with experimental and environmental conditions. The pathway prediction system provides different relative reasoning models to predict likely biotransformation pathways and products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Environmental Science"],"domains":["Environmental contaminant","Biotransformation"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Germany","New Zealand","Switzerland"],"publications":[{"id":1807,"pubmed_id":26582924,"title":"enviPath - The environmental contaminant biotransformation pathway resource.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1229","authors":"Wicker J,Lorsbach T,Gutlein M,Schmid E,Latino D,Kramer S,Fenner K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1229","created_at":"2021-09-30T08:25:42.861Z","updated_at":"2021-09-30T11:29:21.094Z"},{"id":3449,"pubmed_id":null,"title":"Holistic Evaluation of Biodegradation Pathway Prediction: Assessing Multi-Step Reactions and Intermediate Products","year":2021,"url":"https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00543-x","authors":" Tam, Jason; Lorsbach, Tim; Schmidt, Sebastian; Wicker, Jörg","journal":"Journal of Cheminformatics","doi":"10.1186/s13321-021-00543-x","created_at":"2022-06-23T10:44:31.449Z","updated_at":"2022-06-23T10:44:31.449Z"},{"id":3450,"pubmed_id":null,"title":"Eawag-Soil in enviPath: a new resource for exploring regulatory pesticide soil biodegradation pathways and half-life data","year":2017,"url":"http://dx.doi.org/10.1039/C6EM00697C","authors":"Latino, Diogo A. R. S.; Wicker, Jörg; Gütlein, Martin; Schmid, Emanuel; Kramer, Stefan; Fenner, Kathrin; ","journal":"Environ. Sci.: Processes Impacts","doi":"10.1039/C6EM00697C","created_at":"2022-06-23T10:45:39.638Z","updated_at":"2022-06-23T10:45:39.638Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2710,"relation":"applies_to_content"}],"grants":[{"id":9607,"fairsharing_record_id":2242,"organisation_id":3572,"relation":"maintains","created_at":"2022-06-23T10:48:23.853Z","updated_at":"2022-06-23T10:48:23.853Z","grant_id":null,"is_lead":true,"saved_state":{"id":3572,"name":"enviPath","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":9608,"fairsharing_record_id":2242,"organisation_id":3016,"relation":"maintains","created_at":"2022-06-23T10:48:23.951Z","updated_at":"2022-06-23T10:48:43.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":3016,"name":"University of Auckland, New Zealand","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2102,"fairsharing_record_id":2242,"organisation_id":814,"relation":"maintains","created_at":"2021-09-30T09:25:31.845Z","updated_at":"2021-09-30T09:25:31.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":814,"name":"Eawag, Dubendorf, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaE1CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e79cfb498026327ec0f12f47e7a1ed1c3b79e8d3/enviPath-LOGO_SHORT-square.png?disposition=inline","exhaustive_licences":false}},{"id":"2243","type":"fairsharing_records","attributes":{"created_at":"2015-12-03T01:39:53.000Z","updated_at":"2023-12-15T10:31:40.623Z","metadata":{"doi":"10.25504/FAIRsharing.9fmyc7","name":"The Pain and Interoception Imaging Network","status":"ready","homepage":"https://www.painrepository.org/repositories/","identifier":2243,"description":"The PAIN Repository is a brain imaging archive for structural and functional magnetic resonance scans (MRI, fMRI and DTI) hosted at UCLA and open to all pain investigators.","abbreviation":"PAIN","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.painrepository.org/repositories/news/newsletter/","type":"Blog/News"},{"url":"https://www.painrepository.org/repositories/about/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.painrepository.org/repositories/join-pain/membership-information/","type":"Help documentation"},{"url":"https://twitter.com/PainRepository","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011913","name":"re3data:r3d100011913","portal":"re3data"}],"data_access_condition":{"url":"https://www.painrepository.org/repositories/join-pain/pain-repository-policies/","type":"controlled","notes":"Only members of the PAIN Archived or standardized Repositories can access data."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.painrepository.org/wp-content/uploads/pain_user_manual._010414.pdf","type":"controlled","notes":"Only members of the PAIN Archived or standardized Repositories can submit data."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000717","bsg-d000717"],"name":"FAIRsharing record for: The Pain and Interoception Imaging Network","abbreviation":"PAIN","url":"https://fairsharing.org/10.25504/FAIRsharing.9fmyc7","doi":"10.25504/FAIRsharing.9fmyc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PAIN Repository is a brain imaging archive for structural and functional magnetic resonance scans (MRI, fMRI and DTI) hosted at UCLA and open to all pain investigators.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Magnetic resonance imaging","Imaging","Functional magnetic resonance imaging","Diffusion tensor imaging","Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":1943,"pubmed_id":25902408,"title":"Pain and Interoception Imaging Network (PAIN): A multimodal, multisite, brain-imaging repository for chronic somatic and visceral pain disorders.","year":2015,"url":"http://doi.org/S1053-8119(15)00308-0","authors":"Jennifer S. Labus, Bruce Naliboff, Lisa Kilpatrick, Cathy Liu, Cody Ashe-McNalley, Ivani R. dos Santos, Mher Alaverdyan, Davis Woodwortha, Arpana Gupta, Benjamin M. Ellingsona, Kirsten Tillisch, Emeran A. Mayer","journal":"NeuroImage","doi":"10.1016/j.neuroimage.2015.04.018","created_at":"2021-09-30T08:25:58.653Z","updated_at":"2021-09-30T08:25:58.653Z"}],"licence_links":[],"grants":[{"id":2105,"fairsharing_record_id":2243,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:31.921Z","updated_at":"2021-09-30T09:25:31.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2103,"fairsharing_record_id":2243,"organisation_id":2956,"relation":"funds","created_at":"2021-09-30T09:25:31.871Z","updated_at":"2021-09-30T09:25:31.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":2956,"name":"United States National Center for Complementary and Integrative Health (NCCAM)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2104,"fairsharing_record_id":2243,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:25:31.895Z","updated_at":"2021-09-30T09:25:31.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2106,"fairsharing_record_id":2243,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:32.164Z","updated_at":"2021-09-30T09:25:32.164Z","grant_id":null,"is_lead":false,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2107,"fairsharing_record_id":2243,"organisation_id":1089,"relation":"maintains","created_at":"2021-09-30T09:25:32.227Z","updated_at":"2021-09-30T09:25:32.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":1089,"name":"Gail and Gerald Oppenheimer Center for Neurobiology of Stress at UCLA , Los Angeles, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2232","type":"fairsharing_records","attributes":{"created_at":"2015-11-06T07:33:05.000Z","updated_at":"2023-06-23T10:01:59.673Z","metadata":{"doi":"10.25504/FAIRsharing.t6wjn7","name":"probeBase","status":"ready","contacts":[{"contact_name":"Daniel J. Rigden","contact_email":"drigden@liv.ac.uk"}],"homepage":"http://www.probebase.net","identifier":2232,"description":"probeBase is a manually maintained and curated database of rRNA-targeted oligonucleotide probes and primers. Contextual information and multiple options for evaluating in silico hybridization performance against the most recent rRNA sequence databases are provided for each oligonucleotide entry, which makes probeBase an important and frequently used resource for microbiology research and diagnostics. The major features of probeBase include a classification of probes and primers according to the NCBI taxonomy database, a powerful and customizable search function, which serves to query for target organisms, probe names, primers, target sites, and references. The probeBase match tool can be used to match near-full length rRNA sequences against probeBase and find all published probes targeting the query sequences. The new proxy match tool extends this analysis to partial rRNA sequences, which exploits full-length sequences in the rRNA sequence database SILVA to find published probes potentially targeting partial query sequences. A tool for submitting new or missing probe sequences or references helps to keep probeBase up-to-date.","abbreviation":"probeBase","data_curation":{"url":"https://probebase.net/node/1","type":"manual/automated","notes":"Manual when you use the submission form and automated for specific cases (e.g. probeBase offers direct submission of sequences to the TestProbe and TestPrime tools of SILVA at the Max Planck Institute for Marine Microbiology.)"},"support_links":[{"url":"probebase@microbial-ecology.net","type":"Support email"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://probebase.csb.univie.ac.at/pb_match","name":"Sequence match"},{"url":"http://probebase.csb.univie.ac.at/pb_proxy","name":"Proxy match"}],"data_access_condition":{"url":"https://probebase.net/pb_report/probe/3704","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://probebase.net/node/8","type":"open","notes":"The form for submitting new probes or primers is currently disabled and will become available again shortly."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000706","bsg-d000706"],"name":"FAIRsharing record for: probeBase","abbreviation":"probeBase","url":"https://fairsharing.org/10.25504/FAIRsharing.t6wjn7","doi":"10.25504/FAIRsharing.t6wjn7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: probeBase is a manually maintained and curated database of rRNA-targeted oligonucleotide probes and primers. Contextual information and multiple options for evaluating in silico hybridization performance against the most recent rRNA sequence databases are provided for each oligonucleotide entry, which makes probeBase an important and frequently used resource for microbiology research and diagnostics. The major features of probeBase include a classification of probes and primers according to the NCBI taxonomy database, a powerful and customizable search function, which serves to query for target organisms, probe names, primers, target sites, and references. The probeBase match tool can be used to match near-full length rRNA sequences against probeBase and find all published probes targeting the query sequences. The new proxy match tool extends this analysis to partial rRNA sequences, which exploits full-length sequences in the rRNA sequence database SILVA to find published probes potentially targeting partial query sequences. A tool for submitting new or missing probe sequences or references helps to keep probeBase up-to-date.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12727}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Microbiology"],"domains":["Polymerase chain reaction primers","Oligonucleotide probe annotation","Ribosomal RNA","Probe","Curated information"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":832,"pubmed_id":12520066,"title":"probeBase: an online resource for rRNA-targeted oligonucleotide probes.","year":2003,"url":"http://doi.org/10.1093/nar/gkg016","authors":"Loy A,Horn M,Wagner M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg016","created_at":"2021-09-30T08:23:51.793Z","updated_at":"2021-09-30T11:28:53.517Z"},{"id":833,"pubmed_id":17099228,"title":"probeBase--an online resource for rRNA-targeted oligonucleotide probes: new features 2007.","year":2006,"url":"http://doi.org/10.1093/nar/gkl856","authors":"Loy A,Maixner F,Wagner M,Horn M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl856","created_at":"2021-09-30T08:23:51.943Z","updated_at":"2021-09-30T11:28:53.600Z"},{"id":1244,"pubmed_id":26586809,"title":"probeBase--an online resource for rRNA-targeted oligonucleotide probes and primers: new features 2016.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1232","authors":"Greuter D,Loy A,Horn M,Rattei T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1232","created_at":"2021-09-30T08:24:38.764Z","updated_at":"2021-09-30T11:29:03.792Z"}],"licence_links":[],"grants":[{"id":2066,"fairsharing_record_id":2232,"organisation_id":3146,"relation":"maintains","created_at":"2021-09-30T09:25:30.722Z","updated_at":"2021-09-30T09:25:30.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":3146,"name":"University of Vienna, Department of Microbiology and Ecosystem Science, Austria","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2233","type":"fairsharing_records","attributes":{"created_at":"2015-11-11T10:39:36.000Z","updated_at":"2023-12-15T10:29:56.030Z","metadata":{"doi":"10.25504/FAIRsharing.mtkc4","name":"EffectiveDB","status":"ready","contacts":[{"contact_name":"Thomas Rattei","contact_email":"thomas.rattei@univie.ac.at","contact_orcid":"0000-0002-0592-7791"}],"homepage":"http://effectivedb.org","citations":[],"identifier":2233,"description":"The Effective database contains pre-calculated predictions of bacterial secreted proteins and of functional secretion systems. Effective bundles various tools to recognize Type III secretion signals, conserved binding sites of Type III chaperones, eukaryotic-like domains and subcellular targeting signals in the host. Beyond the analysis of arbitrary protein sequence collections, the new release of Effective also provides a \"genome-mode\", in which protein sequences from nearly complete genomes or metagenomic bins can be screened for the presence of three important secretion systems (type III, IV, VI).","abbreviation":"EffectiveDB","data_curation":{"url":"https://effectivedb.org/methods","type":"automated"},"support_links":[{"url":"http://effectivedb.org/news","type":"Blog/News"},{"url":"contact.cube@univie.ac.at","type":"Support email"},{"url":"http://effectivedb.org/help","type":"Help documentation"},{"url":"http://effectivedb.org/methods","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","data_access_condition":{"type":"not found"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://effectivedb.org/effective/browse","type":"not applicable","notes":"Accessing data deposited in EggNoOG and NCBI"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000707","bsg-d000707"],"name":"FAIRsharing record for: EffectiveDB","abbreviation":"EffectiveDB","url":"https://fairsharing.org/10.25504/FAIRsharing.mtkc4","doi":"10.25504/FAIRsharing.mtkc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Effective database contains pre-calculated predictions of bacterial secreted proteins and of functional secretion systems. Effective bundles various tools to recognize Type III secretion signals, conserved binding sites of Type III chaperones, eukaryotic-like domains and subcellular targeting signals in the host. Beyond the analysis of arbitrary protein sequence collections, the new release of Effective also provides a \"genome-mode\", in which protein sequences from nearly complete genomes or metagenomic bins can be screened for the presence of three important secretion systems (type III, IV, VI).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Computational biological predictions","Protein secretion"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Austria","Canada"],"publications":[{"id":834,"pubmed_id":21071416,"title":"Effective--a database of predicted secreted bacterial proteins.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1154","authors":"Jehl MA,Arnold R,Rattei T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1154","created_at":"2021-09-30T08:23:52.051Z","updated_at":"2021-09-30T11:28:53.684Z"},{"id":1138,"pubmed_id":26590402,"title":"EffectiveDB--updates and novel features for a better annotation of bacterial secreted proteins and Type III, IV, VI secretion systems.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1269","authors":"Eichinger V,Nussbaumer T,Platzer A,Jehl MA,Arnold R,Rattei T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1269","created_at":"2021-09-30T08:24:26.447Z","updated_at":"2021-09-30T11:29:00.386Z"}],"licence_links":[],"grants":[{"id":2067,"fairsharing_record_id":2233,"organisation_id":154,"relation":"funds","created_at":"2021-09-30T09:25:30.759Z","updated_at":"2021-09-30T09:30:02.622Z","grant_id":527,"is_lead":false,"saved_state":{"id":154,"name":"Austrian Science Fund (FWF), Austria","grant":"I 2191","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2068,"fairsharing_record_id":2233,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:30.787Z","updated_at":"2021-09-30T09:29:31.036Z","grant_id":280,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG RA 1719/1-1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2235","type":"fairsharing_records","attributes":{"created_at":"2015-11-19T12:18:20.000Z","updated_at":"2023-12-15T10:29:31.780Z","metadata":{"doi":"10.25504/FAIRsharing.fe9kyy","name":"Green Non-Coding Database","status":"ready","contacts":[{"contact_name":"Riccardo Aiese Cigliano","contact_email":"raiesecigliano@sequentiabiotech.com","contact_orcid":"0000-0002-9058-6994"}],"homepage":"http://greenc.sequentiabiotech.com/wiki2/Main_Page","citations":[],"identifier":2235,"description":"The Green Non-Coding Database (GreeNC) is a repository of lncRNAs annotated in plants and algae. By using the same pipeline to annotate lncRNAs and organizing them in a central database we aim to provide a tool for the scientific community that can boost the research on this class of transcripts. The GreeNC database provides information about sequence, genomic coordinates, coding potential and folding energy for all the identified lncRNAs. In the last update, 16 species have been updated and 78 species have been added, resulting in the annotation of more than 495 000 lncRNAs.","abbreviation":"GreeNC","data_curation":{"url":"http://greenc.sequentiabiotech.com/wiki2/Help","type":"manual/automated","notes":"All lncRNAs from GeeNC have been annotated in silico from reference transcripts using highly specific and sensitive in-house bioinformatics pipelines"},"support_links":[{"url":"http://greenc.sequentiabiotech.com/wiki2/Email","name":"Contact us","type":"Contact form"},{"url":"http://greenc.sequentiabiotech.com/wiki2/Help","name":"Help Contents","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"url":"http://greenc.sequentiabiotech.com/wiki2/Help","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000709","bsg-d000709"],"name":"FAIRsharing record for: Green Non-Coding Database","abbreviation":"GreeNC","url":"https://fairsharing.org/10.25504/FAIRsharing.fe9kyy","doi":"10.25504/FAIRsharing.fe9kyy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Green Non-Coding Database (GreeNC) is a repository of lncRNAs annotated in plants and algae. By using the same pipeline to annotate lncRNAs and organizing them in a central database we aim to provide a tool for the scientific community that can boost the research on this class of transcripts. The GreeNC database provides information about sequence, genomic coordinates, coding potential and folding energy for all the identified lncRNAs. In the last update, 16 species have been updated and 78 species have been added, resulting in the annotation of more than 495 000 lncRNAs.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12728}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Annotation","Long non-coding RNA"],"taxonomies":["Algae","Viridiplantae"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1521,"pubmed_id":26578586,"title":"GREENC: a Wiki-based database of plant lncRNAs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1215","authors":"Paytuvi Gallart A,Hermoso Pulido A,Anzar Martinez de Lagran I,Sanseverino W,Aiese Cigliano R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1215","created_at":"2021-09-30T08:25:10.317Z","updated_at":"2021-09-30T11:29:12.161Z"},{"id":3787,"pubmed_id":null,"title":"GreeNC 2.0: a comprehensive database of plant long non-coding RNAs","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1014","authors":"Di Marsico, Marco; Paytuvi Gallart, Andreu; Sanseverino, Walter; Aiese Cigliano, Riccardo; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1014","created_at":"2023-02-22T16:30:49.461Z","updated_at":"2023-02-22T16:30:49.461Z"}],"licence_links":[],"grants":[{"id":2071,"fairsharing_record_id":2235,"organisation_id":2549,"relation":"maintains","created_at":"2021-09-30T09:25:30.875Z","updated_at":"2021-09-30T09:25:30.875Z","grant_id":null,"is_lead":false,"saved_state":{"id":2549,"name":"Sequentia Biotech SL, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2236","type":"fairsharing_records","attributes":{"created_at":"2015-11-19T15:15:30.000Z","updated_at":"2023-06-23T10:46:57.074Z","metadata":{"doi":"10.25504/FAIRsharing.1y79y9","name":"GeneWeaver","status":"ready","contacts":[{"contact_name":"Erich Baker","contact_email":"Erich_Baker@Baylor.edu","contact_orcid":"0000-0002-7798-5704"}],"homepage":"http://www.geneweaver.org","citations":[],"identifier":2236,"description":"The GeneWeaver data and analytics website is a publically available resource for storing, curating and analyzing sets of genes from heterogeneous data sources. The system enables discovery of relationships among genes, variants, traits, drugs, environments, anatomical structures and diseases implicitly found through gene set intersections. By enumerating the common and distinct biological molecules associated with all subsets of curated or user submitted groups of gene sets and gene networks, GeneWeaver empowers users with the ability to construct data driven descriptions of shared and unique biological processes, diseases and traits within and across species.","abbreviation":"GeneWeaver","data_curation":{"url":"https://www.geneweaver.org/help/#curation-guide","type":"manual"},"support_links":[{"url":"https://www.geneweaver.org/help/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://www.geneweaver.org/register_or_login","name":"Analysis tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012464","name":"re3data:r3d100012464","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003009","name":"SciCrunch:RRID:SCR_003009","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000710","bsg-d000710"],"name":"FAIRsharing record for: GeneWeaver","abbreviation":"GeneWeaver","url":"https://fairsharing.org/10.25504/FAIRsharing.1y79y9","doi":"10.25504/FAIRsharing.1y79y9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GeneWeaver data and analytics website is a publically available resource for storing, curating and analyzing sets of genes from heterogeneous data sources. The system enables discovery of relationships among genes, variants, traits, drugs, environments, anatomical structures and diseases implicitly found through gene set intersections. By enumerating the common and distinct biological molecules associated with all subsets of curated or user submitted groups of gene sets and gene networks, GeneWeaver empowers users with the ability to construct data driven descriptions of shared and unique biological processes, diseases and traits within and across species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12729},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12959}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Anatomy","Life Science","Comparative Genomics"],"domains":["Drug","Phenotype","Disease"],"taxonomies":["Caenorhabditis elegans","Canis familiaris","Danio rerio","Drosophila melanogaster","Gallus gallus","Homo sapiens","Macaca mulatta","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":864,"pubmed_id":22080549,"title":"GeneWeaver: a web-based system for integrative functional genomics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr968","authors":"Baker EJ,Jay JJ,Bubier JA,Langston MA,Chesler EJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr968","created_at":"2021-09-30T08:23:55.443Z","updated_at":"2021-09-30T11:28:54.359Z"},{"id":1634,"pubmed_id":26092690,"title":"GeneWeaver: finding consilience in heterogeneous cross-species functional genomics data.","year":2015,"url":"http://doi.org/10.1007/s00335-015-9575-x","authors":"Bubier JA,Phillips CA,Langston MA,Baker EJ,Chesler EJ","journal":"Mamm Genome","doi":"10.1007/s00335-015-9575-x","created_at":"2021-09-30T08:25:23.061Z","updated_at":"2021-09-30T08:25:23.061Z"},{"id":1635,"pubmed_id":19733230,"title":"Ontological Discovery Environment: a system for integrating gene-phenotype associations.","year":2009,"url":"http://doi.org/10.1016/j.ygeno.2009.08.016","authors":"Baker EJ,Jay JJ,Philip VM,Zhang Y,Li Z,Kirova R,Langston MA,Chesler EJ","journal":"Genomics","doi":"10.1016/j.ygeno.2009.08.016","created_at":"2021-09-30T08:25:23.170Z","updated_at":"2021-09-30T08:25:23.170Z"}],"licence_links":[{"licence_name":"GeneWeaver Data Sharing","licence_id":332,"licence_url":"https://www.geneweaver.org/datasharing","link_id":2232,"relation":"undefined"},{"licence_name":"GeneWeaver Privacy","licence_id":333,"licence_url":"https://www.geneweaver.org/privacy","link_id":2233,"relation":"undefined"}],"grants":[{"id":2075,"fairsharing_record_id":2236,"organisation_id":3137,"relation":"maintains","created_at":"2021-09-30T09:25:31.051Z","updated_at":"2021-09-30T09:25:31.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":3137,"name":"University of Tennessee, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8371,"fairsharing_record_id":2236,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:32:18.408Z","updated_at":"2021-09-30T09:32:18.459Z","grant_id":1558,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"U24AA13513","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2072,"fairsharing_record_id":2236,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:30.917Z","updated_at":"2021-09-30T09:25:30.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2074,"fairsharing_record_id":2236,"organisation_id":179,"relation":"maintains","created_at":"2021-09-30T09:25:30.993Z","updated_at":"2021-09-30T09:25:30.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":179,"name":"Baylor University, Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2076,"fairsharing_record_id":2236,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:31.090Z","updated_at":"2021-09-30T09:29:07.410Z","grant_id":103,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"RO1 AA18776","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2073,"fairsharing_record_id":2236,"organisation_id":1596,"relation":"funds","created_at":"2021-09-30T09:25:30.956Z","updated_at":"2021-09-30T09:32:11.886Z","grant_id":1512,"is_lead":false,"saved_state":{"id":1596,"name":"JAX Center for Precision Genetics NIH","grant":"U54OD020351","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7885,"fairsharing_record_id":2236,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:29:24.749Z","updated_at":"2021-09-30T09:29:24.797Z","grant_id":237,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"U01 AA13499","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2225","type":"fairsharing_records","attributes":{"created_at":"2015-10-13T05:19:27.000Z","updated_at":"2023-06-22T17:19:06.298Z","metadata":{"doi":"10.25504/FAIRsharing.5mf7bd","name":"Colorectal Cancer Atlas","status":"ready","contacts":[{"contact_name":"Suresh Mathivanan","contact_email":"S.Mathivanan@latrobe.edu.au","contact_orcid":"0000-0002-7290-5795"}],"homepage":"http://coloncanceratlas.org/","citations":[],"identifier":2225,"description":"Colorectral Cancer Atlas is an web-based resource which integrates genomic and proteomic pertaining to colorectal cancer cell lines and tissues. Data catalogued includes, quantitative and non-quantitative protein expression, sequence variations, cellular signaling pathways, protein-protein interactions, Gene Ontology terms, protein domains and post-translational modifications (PTMs).","abbreviation":"CRC Atlas","data_curation":{"url":"https://doi.org/10.1093/nar/gkv1097","type":"manual/automated"},"support_links":[{"url":"http://coloncanceratlas.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://coloncanceratlas.org/contactus","name":"General Contact Form","type":"Contact form"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000699","bsg-d000699"],"name":"FAIRsharing record for: Colorectal Cancer Atlas","abbreviation":"CRC Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.5mf7bd","doi":"10.25504/FAIRsharing.5mf7bd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Colorectral Cancer Atlas is an web-based resource which integrates genomic and proteomic pertaining to colorectal cancer cell lines and tissues. Data catalogued includes, quantitative and non-quantitative protein expression, sequence variations, cellular signaling pathways, protein-protein interactions, Gene Ontology terms, protein domains and post-translational modifications (PTMs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Proteomics","Biomedical Science"],"domains":["Drug report","Cancer","Post-translational protein modification","Extracellular exosome","Mutation analysis","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1643,"pubmed_id":26496946,"title":"Colorectal cancer atlas: An integrative resource for genomic and proteomic annotations from colorectal cancer cell lines and tissues.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1097","authors":"Chisanga D,Keerthikumar S,Pathan M,Ariyaratne D,Kalra H,Boukouris S,Mathew NA,Al Saffar H,Gangoda L,Ang CS,Sieber OM,Mariadason JM,Dasgupta R,Chilamkurti N,Mathivanan S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1097","created_at":"2021-09-30T08:25:24.017Z","updated_at":"2021-09-30T11:29:17.644Z"}],"licence_links":[],"grants":[{"id":2044,"fairsharing_record_id":2225,"organisation_id":1994,"relation":"funds","created_at":"2021-09-30T09:25:29.886Z","updated_at":"2021-09-30T09:31:14.091Z","grant_id":1078,"is_lead":false,"saved_state":{"id":1994,"name":"National Health and Medical Research Council (NHMRC), Australia","grant":"1016599","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2226","type":"fairsharing_records","attributes":{"created_at":"2015-10-20T12:52:34.000Z","updated_at":"2023-12-15T10:32:23.944Z","metadata":{"doi":"10.25504/FAIRsharing.v1dcm3","name":"Digenic diseases database","status":"ready","contacts":[{"contact_name":"Tom Lenaerts","contact_email":"tlenaert@ulb.ac.be"}],"homepage":"http://dida.ibsquare.be","identifier":2226,"description":"DIDA (DIgenic diseases DAtabase) is a novel database that provides for the first time detailed information on genes and associated genetic variants involved in digenic diseases, the simplest form of oligogenic inheritance.","abbreviation":"DIDA","data_curation":{"type":"manual"},"support_links":[{"url":"dida@ibsquare.be","type":"Support email"},{"url":"http://dida.ibsquare.be/help/","type":"Help documentation"},{"url":"http://dida.ibsquare.be/documentation/","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://dida.ibsquare.be/submit/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000700","bsg-d000700"],"name":"FAIRsharing record for: Digenic diseases database","abbreviation":"DIDA","url":"https://fairsharing.org/10.25504/FAIRsharing.v1dcm3","doi":"10.25504/FAIRsharing.v1dcm3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DIDA (DIgenic diseases DAtabase) is a novel database that provides for the first time detailed information on genes and associated genetic variants involved in digenic diseases, the simplest form of oligogenic inheritance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Digenic inheritance","Genetic polymorphism"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Digenic disease"],"countries":["Belgium"],"publications":[{"id":1127,"pubmed_id":26481352,"title":"DIDA: A curated and annotated digenic diseases database.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1068","authors":"Gazzo AM,Daneels D,Cilia E,Bonduelle M,Abramowicz M,Van Dooren S,Smits G,Lenaerts T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1068","created_at":"2021-09-30T08:24:25.072Z","updated_at":"2021-09-30T11:28:59.755Z"}],"licence_links":[],"grants":[{"id":2046,"fairsharing_record_id":2226,"organisation_id":2921,"relation":"funds","created_at":"2021-09-30T09:25:29.959Z","updated_at":"2021-09-30T09:25:29.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":2921,"name":"United Methodist Committee on Relief (UMCOR), USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2045,"fairsharing_record_id":2226,"organisation_id":1025,"relation":"funds","created_at":"2021-09-30T09:25:29.916Z","updated_at":"2021-09-30T09:25:29.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":1025,"name":"Fondation pour la Recherche contre le Cancer (ARC), Villejuif, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2047,"fairsharing_record_id":2226,"organisation_id":1542,"relation":"funds","created_at":"2021-09-30T09:25:30.001Z","updated_at":"2021-09-30T09:25:30.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":1542,"name":"Interuniversity Institute of Bioinformatics in Brussels, Brussels, Belgium","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2048,"fairsharing_record_id":2226,"organisation_id":327,"relation":"funds","created_at":"2021-09-30T09:25:30.093Z","updated_at":"2021-09-30T09:31:57.145Z","grant_id":1402,"is_lead":false,"saved_state":{"id":327,"name":"Brussels Institute for Research and Innovation, Brussels, Belgium","grant":"RBC/13-PFS EH-11","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2227","type":"fairsharing_records","attributes":{"created_at":"2015-10-20T15:33:34.000Z","updated_at":"2023-06-23T10:49:25.177Z","metadata":{"doi":"10.25504/FAIRsharing.62p8w","name":"Scratchpads","status":"ready","contacts":[{"contact_name":"Scratchpads General Contact","contact_email":"scratchpads@nhm.ac.uk"}],"homepage":"http://scratchpads.org/","citations":[],"identifier":2227,"description":"Scratchpads are an online virtual research environment for biodiversity for the sharing of data and the creation of specific research networks. Sites can focus on specific taxonomic groups, the biodiversity of a biogeographic region, or any aspect of natural history. Scratchpads are also suitable for societies or for managing and presenting projects.","abbreviation":"Scratchpads","data_curation":{"type":"none"},"support_links":[{"url":"http://scratchpads.org/news/","name":"News","type":"Help documentation"},{"url":"https://github.com/NaturalHistoryMuseum/scratchpads2","name":"Github Repository","type":"Github"},{"url":"https://twitter.com/scratchpads","name":"@scratchpads","type":"Twitter"}],"year_creation":2007,"data_versioning":"yes","data_access_condition":{"url":"https://www.scratchpads.org/about/concept","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.scratchpads.org/about/concept","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000701","bsg-d000701"],"name":"FAIRsharing record for: Scratchpads","abbreviation":"Scratchpads","url":"https://fairsharing.org/10.25504/FAIRsharing.62p8w","doi":"10.25504/FAIRsharing.62p8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Scratchpads are an online virtual research environment for biodiversity for the sharing of data and the creation of specific research networks. Sites can focus on specific taxonomic groups, the biodiversity of a biogeographic region, or any aspect of natural history. Scratchpads are also suitable for societies or for managing and presenting projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Natural History"],"domains":["Taxonomic classification","Bibliography","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1036,"pubmed_id":22207806,"title":"Scratchpads 2.0: a Virtual Research Environment supporting scholarly collaboration, communication and data publication in biodiversity science.","year":2011,"url":"http://doi.org/10.3897/zookeys.150.2193","authors":"Smith VS,Rycroft SD,Brake I,Scott B,Baker E,Livermore L,Blagoderov V,Roberts D","journal":"Zookeys","doi":"10.3897/zookeys.150.2193","created_at":"2021-09-30T08:24:14.739Z","updated_at":"2021-09-30T08:24:14.739Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":570,"relation":"undefined"},{"licence_name":"Scratchpads Terms and Conditions","licence_id":739,"licence_url":"http://scratchpads.org/about/policies/termsandconditions","link_id":574,"relation":"undefined"}],"grants":[{"id":2050,"fairsharing_record_id":2227,"organisation_id":3195,"relation":"maintains","created_at":"2021-09-30T09:25:30.166Z","updated_at":"2021-09-30T09:25:30.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":3195,"name":"Vizzuality","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2054,"fairsharing_record_id":2227,"organisation_id":2093,"relation":"maintains","created_at":"2021-09-30T09:25:30.292Z","updated_at":"2021-09-30T09:25:30.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":2093,"name":"Natural History Museum","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2057,"fairsharing_record_id":2227,"organisation_id":860,"relation":"maintains","created_at":"2021-09-30T09:25:30.409Z","updated_at":"2021-09-30T09:25:30.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":860,"name":"Encyclopedia of Life","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2052,"fairsharing_record_id":2227,"organisation_id":892,"relation":"funds","created_at":"2021-09-30T09:25:30.219Z","updated_at":"2021-09-30T09:30:23.113Z","grant_id":687,"is_lead":false,"saved_state":{"id":892,"name":"EU FP7 ViBRANT","grant":"RI-261532","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9485,"fairsharing_record_id":2227,"organisation_id":2461,"relation":"funds","created_at":"2022-05-03T13:18:21.948Z","updated_at":"2022-05-03T13:18:21.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew, London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2049,"fairsharing_record_id":2227,"organisation_id":2745,"relation":"maintains","created_at":"2021-09-30T09:25:30.130Z","updated_at":"2021-09-30T09:25:30.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":2745,"name":"The Biodiversity Heritage Library (BHL)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2051,"fairsharing_record_id":2227,"organisation_id":281,"relation":"maintains","created_at":"2021-09-30T09:25:30.196Z","updated_at":"2021-09-30T09:25:30.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":281,"name":"BioVeL, Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2058,"fairsharing_record_id":2227,"organisation_id":2305,"relation":"maintains","created_at":"2021-09-30T09:25:30.451Z","updated_at":"2021-09-30T09:25:30.451Z","grant_id":null,"is_lead":false,"saved_state":{"id":2305,"name":"Pensoft Publishers","types":["Publisher"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYmM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d88c66af5cb85639e7544d994f6985d96f5fad0b/scratchpads.png?disposition=inline","exhaustive_licences":false}},{"id":"2228","type":"fairsharing_records","attributes":{"created_at":"2015-10-30T22:36:04.000Z","updated_at":"2023-06-22T16:02:13.108Z","metadata":{"doi":"10.25504/FAIRsharing.ew61fn","name":"WholeCellSimDB","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"http://www.wholecellsimdb.org","citations":[],"identifier":2228,"description":"WholeCellSimDB is a database of whole-cell model simulations designed to make it easy for researchers to explore and analyze whole-cell model predictions including predicted: - Metabolite concentrations, - DNA, RNA and protein expression, - DNA-bound protein positions, - DNA modification positions, and - Ribome positions.","abbreviation":"WholeCellSimDB","data_curation":{"url":"https://doi.org/10.1093/database/bau095","type":"none","notes":"Records may not be changed after deposition."},"support_links":[{"url":"wholecell@lists.stanford.edu","type":"Support email"},{"url":"http://www.wholecellsimdb.org/help","name":"Help","type":"Help documentation"},{"url":"http://www.wholecellsimdb.org/about","name":"About","type":"Help documentation"},{"url":"http://www.wholecellsimdb.org/tutorial","name":"Tutorial","type":"Training documentation"},{"url":"https://twitter.com/jonrkarr","name":"@jonrkarr","type":"Twitter"},{"url":"https://www.wholecellsimdb.org/static/doc/index.html","name":"Source code documentation","type":"Help documentation"},{"url":"https://github.com/CovertLab/WholeCellSimDB","type":"Github"},{"url":"wholecellsimdb.org/advanced_analysis_gallery","name":"Advanced analysis gallery","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/database/bau095","type":"controlled","notes":"Deposition for authors' own research group only. Local installation required for any other deposits."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000702","bsg-d000702"],"name":"FAIRsharing record for: WholeCellSimDB","abbreviation":"WholeCellSimDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ew61fn","doi":"10.25504/FAIRsharing.ew61fn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WholeCellSimDB is a database of whole-cell model simulations designed to make it easy for researchers to explore and analyze whole-cell model predictions including predicted: - Metabolite concentrations, - DNA, RNA and protein expression, - DNA-bound protein positions, - DNA modification positions, and - Ribome positions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12725}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Systems Biology"],"domains":["Expression data","Deoxyribonucleic acid","Metabolite","Protein"],"taxonomies":["Escherichia coli K12","Mycoplasma genitalium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":831,"pubmed_id":25231498,"title":"WholeCellSimDB: a hybrid relational/HDF database for whole-cell model predictions.","year":2014,"url":"http://doi.org/10.1093/database/bau095","authors":"Karr JR,Phillips NC,Covert MW","journal":"Database (Oxford)","doi":"10.1093/database/bau095","created_at":"2021-09-30T08:23:51.688Z","updated_at":"2021-09-30T08:23:51.688Z"}],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":1077,"relation":"undefined"}],"grants":[{"id":7878,"fairsharing_record_id":2228,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:20.157Z","updated_at":"2021-09-30T09:29:20.214Z","grant_id":200,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5DP1LM01150-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2059,"fairsharing_record_id":2228,"organisation_id":1627,"relation":"maintains","created_at":"2021-09-30T09:25:30.493Z","updated_at":"2021-09-30T09:25:30.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":1627,"name":"Karr Lab, Institute for Multiscale Biology \u0026 Genomics, New York, NY, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2060,"fairsharing_record_id":2228,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:30.530Z","updated_at":"2021-09-30T09:29:01.667Z","grant_id":61,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1P50GM107615","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2220","type":"fairsharing_records","attributes":{"created_at":"2015-10-08T15:22:51.000Z","updated_at":"2024-01-24T06:21:28.354Z","metadata":{"doi":"10.25504/FAIRsharing.c8dxsv","name":"ReMap","status":"ready","contacts":[{"contact_name":"Benoit Ballester","contact_email":"benoit.ballester@inserm.fr","contact_orcid":"0000-0002-0834-7135"}],"homepage":"https://remap.univ-amu.fr/","citations":[],"identifier":2220,"description":"ReMap is a large scale integrative analysis of DNA-binding experiments for Homo sapiens, Mus musculus, Drosophila melanogaster and Arabidopsis thaliana transcriptional regulators. The catalogues are the results of the manual curation of ChIP-seq, ChIP-exo, DAP-seq from public sources (GEO, ENCODE, ENA). ReMap (https://remap.univ-amu.fr) aims to provide manually curated, high-quality catalogs of regulatory regions resulting from a large-scale integrative analysis of DNA-binding experiments in Human, Mouse, Fly and Arabidopsis thaliana for hundreds of transcription factors and regulators. In this 2022 update, we have uniformly processed \u003e11 000 DNA-binding sequencing datasets from public sources across four species. The four regulatory catalogs are browsable through track hubs at UCSC, Ensembl and NCBI genome browsers. Finally, ReMap 2022 comes with a new Cis Regulatory Module identification method, improved quality controls, faster search results, and better user experience with an interactive tour and video tutorials on browsing and filtering ReMap catalogs.","abbreviation":"ReMap","data_curation":{"type":"manual"},"support_links":[{"url":"https://remap.univ-amu.fr/contact_page","name":"Contact","type":"Help documentation"},{"url":"https://remap.univ-amu.fr/about_hsap_page","name":"About","type":"Help documentation"},{"url":"https://remap.univ-amu.fr/about_trackhubs_page","name":"About Tracks","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[{"url":"http://genome-euro.ucsc.edu/cgi-bin/hgTracks?db=hg19\u0026position=chr18%3A48493295-48497350\u0026hgsid=209791310_qlUWcxlOAdmrXkAXTRadwAEW1LYn","name":"UCSC Genome Browser tracks"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000694","bsg-d000694"],"name":"FAIRsharing record for: ReMap","abbreviation":"ReMap","url":"https://fairsharing.org/10.25504/FAIRsharing.c8dxsv","doi":"10.25504/FAIRsharing.c8dxsv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ReMap is a large scale integrative analysis of DNA-binding experiments for Homo sapiens, Mus musculus, Drosophila melanogaster and Arabidopsis thaliana transcriptional regulators. The catalogues are the results of the manual curation of ChIP-seq, ChIP-exo, DAP-seq from public sources (GEO, ENCODE, ENA). ReMap (https://remap.univ-amu.fr) aims to provide manually curated, high-quality catalogs of regulatory regions resulting from a large-scale integrative analysis of DNA-binding experiments in Human, Mouse, Fly and Arabidopsis thaliana for hundreds of transcription factors and regulators. In this 2022 update, we have uniformly processed \u003e11 000 DNA-binding sequencing datasets from public sources across four species. The four regulatory catalogs are browsable through track hubs at UCSC, Ensembl and NCBI genome browsers. Finally, ReMap 2022 comes with a new Cis Regulatory Module identification method, improved quality controls, faster search results, and better user experience with an interactive tour and video tutorials on browsing and filtering ReMap catalogs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genome annotation","Cell line","Cancer","Enhancer","Transcription factor","Chromatin immunoprecipitation - DNA sequencing","Chromatin Interaction Analysis by Paired-End Tag sequencing","Gene regulatory element","Promoter","Regulatory region"],"taxonomies":["Arabidopsis thaliana","Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":["cis-regulatory modules"],"countries":["France"],"publications":[{"id":827,"pubmed_id":25477382,"title":"Integrative analysis of public ChIP-seq experiments reveals a complex multi-cell regulatory landscape.","year":2014,"url":"http://doi.org/10.1093/nar/gku1280","authors":"Griffon A,Barbier Q,Dalino J,van Helden J,Spicuglia S,Ballester B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1280","created_at":"2021-09-30T08:23:51.210Z","updated_at":"2021-09-30T11:28:53.417Z"},{"id":4084,"pubmed_id":null,"title":"ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab996","authors":"Hammal, Fayrouz; de Langen, Pierre; Bergon, Aurélie; Lopez, Fabrice; Ballester, Benoit; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab996","created_at":"2024-01-17T08:57:15.357Z","updated_at":"2024-01-17T08:57:15.357Z"},{"id":4085,"pubmed_id":null,"title":"ReMap 2018: an updated atlas of regulatory regions from an integrative analysis of DNA-binding ChIP-seq experiments","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx1092","authors":"Chèneby, Jeanne; Gheorghe, Marius; Artufel, Marie; Mathelier, Anthony; Ballester, Benoit; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1092","created_at":"2024-01-17T08:57:46.434Z","updated_at":"2024-01-17T08:57:46.434Z"},{"id":4086,"pubmed_id":null,"title":"ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments","year":2019,"url":"http://dx.doi.org/10.1093/nar/gkz945","authors":"Chèneby, Jeanne; Ménétrier, Zacharie; Mestdagh, Martin; Rosnet, Thomas; Douida, Allyssa; Rhalloussi, Wassim; Bergon, Aurélie; Lopez, Fabrice; Ballester, Benoit; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz945","created_at":"2024-01-17T08:57:59.224Z","updated_at":"2024-01-17T08:57:59.224Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":3451,"relation":"undefined"}],"grants":[{"id":2032,"fairsharing_record_id":2220,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:25:29.380Z","updated_at":"2021-09-30T09:29:36.877Z","grant_id":326,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","grant":"U1090 TAGC","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2033,"fairsharing_record_id":2220,"organisation_id":1025,"relation":"funds","created_at":"2021-09-30T09:25:29.417Z","updated_at":"2021-09-30T09:29:16.319Z","grant_id":169,"is_lead":false,"saved_state":{"id":1025,"name":"Fondation pour la Recherche contre le Cancer (ARC), Villejuif, France","grant":"DOC20140601414","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbHNEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d45a66978c2bd6ad39e3496043d0fffb81ad4004/48247965.png?disposition=inline","exhaustive_licences":false}},{"id":"2221","type":"fairsharing_records","attributes":{"created_at":"2015-09-29T07:48:35.000Z","updated_at":"2023-12-15T10:30:22.124Z","metadata":{"doi":"10.25504/FAIRsharing.gbrmh4","name":"Medaka Expression Pattern Database","status":"ready","contacts":[{"contact_name":"Juan L. Mateo","contact_email":"juan.mateo@cos.uni-heidelberg.de","contact_orcid":"0000-0001-9902-6048"}],"homepage":"http://mepd.cos.uni-heidelberg.de/","identifier":2221,"description":"MEPD contains expression data of genes and regulatory elements assayed in the Japanese killifish Medaka (Oryzias latipes).","abbreviation":"MEPD","data_curation":{"type":"not found"},"year_creation":2002,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://mepd.cos.uni-heidelberg.de/mepd/","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000695","bsg-d000695"],"name":"FAIRsharing record for: Medaka Expression Pattern Database","abbreviation":"MEPD","url":"https://fairsharing.org/10.25504/FAIRsharing.gbrmh4","doi":"10.25504/FAIRsharing.gbrmh4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MEPD contains expression data of genes and regulatory elements assayed in the Japanese killifish Medaka (Oryzias latipes).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Endocrinology","Genetics","Life Science"],"domains":["Expression data","Sequence annotation","Enhancer","Promoter","Gene"],"taxonomies":["Oryzias latipes"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":751,"pubmed_id":15879458,"title":"MEPD: a resource for medaka gene expression patterns.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti478","authors":"Henrich T,Ramialison M,Wittbrodt B,Assouline B,Bourrat F,Berger A,Himmelbauer H,Sasaki T,Shimizu N,Westerfield M,Kondoh H,Wittbrodt J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti478","created_at":"2021-09-30T08:23:42.695Z","updated_at":"2021-09-30T08:23:42.695Z"},{"id":781,"pubmed_id":12519950,"title":"MEPD: a Medaka gene expression pattern database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg017","authors":"Henrich T,Ramialison M,Quiring R,Wittbrodt B,Furutani-Seiki M,Wittbrodt J,Kondoh H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg017","created_at":"2021-09-30T08:23:46.051Z","updated_at":"2021-09-30T11:28:51.068Z"}],"licence_links":[],"grants":[{"id":2036,"fairsharing_record_id":2221,"organisation_id":466,"relation":"maintains","created_at":"2021-09-30T09:25:29.588Z","updated_at":"2021-09-30T09:25:29.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":466,"name":"Centre for Organismal Studies (COS), Heidelberg, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2034,"fairsharing_record_id":2221,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:25:29.507Z","updated_at":"2021-09-30T09:25:29.507Z","grant_id":null,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2035,"fairsharing_record_id":2221,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:25:29.550Z","updated_at":"2021-09-30T09:25:29.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2037,"fairsharing_record_id":2221,"organisation_id":826,"relation":"funds","created_at":"2021-09-30T09:25:29.625Z","updated_at":"2021-09-30T09:25:29.625Z","grant_id":null,"is_lead":false,"saved_state":{"id":826,"name":"Education Portal of the Regional Government of Castilla-La Mancha, Toledo, Spain","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2222","type":"fairsharing_records","attributes":{"created_at":"2015-10-02T15:25:17.000Z","updated_at":"2023-12-15T10:31:57.791Z","metadata":{"doi":"10.25504/FAIRsharing.d21jc4","name":"Integrated Digitized Biocollections","status":"ready","contacts":[{"contact_name":"Joanna McCaffrey","contact_email":"jmccaffrey@flmnh.ufl.edu"}],"homepage":"https://www.idigbio.org/","citations":[],"identifier":2222,"description":"iDigBio is the US national resource for digitized information about vouchered natural history collections within the context established by the NIBA community strategic plan and is supported through funds from the NSF's ADBC (Advancing Digitization of Biodiversity Collections) program. Through ADBC, data and images for millions of biological specimens are being made available in electronic format for the research community, government agencies, students, educators, and the general public.","abbreviation":"iDigBio","data_curation":{"url":"https://www.idigbio.org/wiki/index.php/Pre-digitization_Curation_and_Staging","type":"manual"},"support_links":[{"url":"https://www.idigbio.org/contact/Portal_feedback","type":"Contact form"},{"url":"https://www.idigbio.org/portal/tutorial","type":"Help documentation"},{"url":"https://www.idigbio.org/wiki/index.php/Wiki_Home","type":"Help documentation"},{"url":"https://twitter.com/iDigBio","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011126","name":"re3data:r3d100011126","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014336","name":"SciCrunch:RRID:SCR_014336","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.idigbio.org/sites/default/files/DataIngestionGuide.pdf","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000696","bsg-d000696"],"name":"FAIRsharing record for: Integrated Digitized Biocollections","abbreviation":"iDigBio","url":"https://fairsharing.org/10.25504/FAIRsharing.d21jc4","doi":"10.25504/FAIRsharing.d21jc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iDigBio is the US national resource for digitized information about vouchered natural history collections within the context established by the NIBA community strategic plan and is supported through funds from the NSF's ADBC (Advancing Digitization of Biodiversity Collections) program. Through ADBC, data and images for millions of biological specimens are being made available in electronic format for the research community, government agencies, students, educators, and the general public.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Natural History"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"iDigBio Terms of Use Policy","licence_id":423,"licence_url":"https://www.idigbio.org/content/idigbio-terms-use-policy","link_id":874,"relation":"undefined"}],"grants":[{"id":2038,"fairsharing_record_id":2222,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:29.667Z","updated_at":"2021-09-30T09:32:04.729Z","grant_id":1458,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"EF-1115210","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9553,"fairsharing_record_id":2222,"organisation_id":3055,"relation":"maintains","created_at":"2022-05-20T10:27:56.544Z","updated_at":"2022-05-20T10:27:56.544Z","grant_id":null,"is_lead":true,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2244","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T13:16:04.000Z","updated_at":"2023-06-23T09:56:27.913Z","metadata":{"doi":"10.25504/FAIRsharing.16v73e","name":"Autism Brain Imaging Data Exchange","status":"ready","contacts":[{"contact_name":"Adriana Di Martino","contact_email":"dimara01@nyumc.org"}],"homepage":"http://fcon_1000.projects.nitrc.org/indi/abide/","identifier":2244,"description":"Autism Brain Imaging Data Exchange (ABIDE) is a resource serving Autism spectrum disorders (ASD) data. The Autism Brain Imaging Data Exchange (ABIDE) provides previously-collected resting state functional magnetic resonance imaging (R-fMRI) datasets for the purpose of data sharing in the broader scientific community. ABIDE is intended to facilitate discovery science and comparisons across samples. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project / INDI protocols, all datasets are anonymous, with no protected health information included. Data is available for download from the ABIDE website and for searching via partner websites.","abbreviation":"ABIDE","data_curation":{"type":"not found"},"support_links":[{"url":"mostofsky@kennedykrieger.org","name":"Contact","type":"Support email"},{"url":"http://fcon_1000.projects.nitrc.org/indi/abide/databases.html","name":"Accessing Data","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000718","bsg-d000718"],"name":"FAIRsharing record for: Autism Brain Imaging Data Exchange","abbreviation":"ABIDE","url":"https://fairsharing.org/10.25504/FAIRsharing.16v73e","doi":"10.25504/FAIRsharing.16v73e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Autism Brain Imaging Data Exchange (ABIDE) is a resource serving Autism spectrum disorders (ASD) data. The Autism Brain Imaging Data Exchange (ABIDE) provides previously-collected resting state functional magnetic resonance imaging (R-fMRI) datasets for the purpose of data sharing in the broader scientific community. ABIDE is intended to facilitate discovery science and comparisons across samples. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project / INDI protocols, all datasets are anonymous, with no protected health information included. Data is available for download from the ABIDE website and for searching via partner websites.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11119}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Autistic disorder","Magnetic resonance imaging","Imaging","Functional magnetic resonance imaging","Disease","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Resting state functional magnetic resonance imaging (R-fMRI)"],"countries":["Belgium","Germany","Ireland","United States"],"publications":[{"id":877,"pubmed_id":23774715,"title":"The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.","year":2013,"url":"http://doi.org/10.1038/mp.2013.78","authors":"Di Martino A,Yan CG,Li Q et al.","journal":"Mol Psychiatry","doi":"10.1038/mp.2013.78","created_at":"2021-09-30T08:23:56.822Z","updated_at":"2021-09-30T08:23:56.822Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":2202,"relation":"undefined"}],"grants":[{"id":2108,"fairsharing_record_id":2244,"organisation_id":155,"relation":"maintains","created_at":"2021-09-30T09:25:32.269Z","updated_at":"2021-09-30T09:25:32.269Z","grant_id":null,"is_lead":true,"saved_state":{"id":155,"name":"Autism Brain Imaging Data Exchange (ABIDE), International Neuroimaging Datasharing Initiative (INDI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2111,"fairsharing_record_id":2244,"organisation_id":1609,"relation":"funds","created_at":"2021-09-30T09:25:32.390Z","updated_at":"2021-09-30T09:25:32.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":1609,"name":"Joseph P. Healey Research Grant Program, University of Massachusetts Boston, Boston, MA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8202,"fairsharing_record_id":2244,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:31:29.822Z","updated_at":"2021-09-30T09:31:29.866Z","grant_id":1197,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"K23MH087770","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2109,"fairsharing_record_id":2244,"organisation_id":1707,"relation":"funds","created_at":"2021-09-30T09:25:32.309Z","updated_at":"2021-09-30T09:25:32.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":1707,"name":"Leon Levy Foundation, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2110,"fairsharing_record_id":2244,"organisation_id":2640,"relation":"funds","created_at":"2021-09-30T09:25:32.351Z","updated_at":"2021-09-30T09:25:32.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":2640,"name":"Stavros Niarchos Foundation","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2112,"fairsharing_record_id":2244,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:25:32.427Z","updated_at":"2021-09-30T09:29:45.813Z","grant_id":391,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"R03MH096321","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2247","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T20:18:30.000Z","updated_at":"2023-12-15T10:31:03.530Z","metadata":{"doi":"10.25504/FAIRsharing.fb0r2g","name":"Library of Integrated Network-Based Cellular Signatures Data Portal","status":"ready","contacts":[{"contact_name":"Avi Ma'ayan","contact_email":"avi.maayan@mssm.edu"}],"homepage":"http://lincsportal.ccs.miami.edu/dcic-portal/","citations":[],"identifier":2247,"description":"The LINCS Data Portal provides a unified interface for searching LINCS dataset packages and reagents. LINCS data are being made openly available as a community resource through a series of data releases, so as to enable scientists to address a broad range of basic research questions and to facilitate the identification of biological targets for new disease therapies. LINCS datasets consist of assay results from cultured and primary human cells treated with bioactive small molecules, ligands such as growth factors and cytokines, or genetic perturbations. Many different assays are used to monitor cell responses, including assays measuring transcript and protein expression; cell phenotype data are captured by biochemical and imaging readouts. Assays are typically carried out on multiple cell types, and at multiple timepoints; perturbagen activity is monitored at multiple doses.","abbreviation":"LINCS Data Portal","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.lincsproject.org/about/","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://www.lincsproject.org/data/tools-and-databases/","name":"All LINCS Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012421","name":"re3data:r3d100012421","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014939","name":"SciCrunch:RRID:SCR_014939","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000721","bsg-d000721"],"name":"FAIRsharing record for: Library of Integrated Network-Based Cellular Signatures Data Portal","abbreviation":"LINCS Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.fb0r2g","doi":"10.25504/FAIRsharing.fb0r2g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Data Portal provides a unified interface for searching LINCS dataset packages and reagents. LINCS data are being made openly available as a community resource through a series of data releases, so as to enable scientists to address a broad range of basic research questions and to facilitate the identification of biological targets for new disease therapies. LINCS datasets consist of assay results from cultured and primary human cells treated with bioactive small molecules, ligands such as growth factors and cytokines, or genetic perturbations. Many different assays are used to monitor cell responses, including assays measuring transcript and protein expression; cell phenotype data are captured by biochemical and imaging readouts. Assays are typically carried out on multiple cell types, and at multiple timepoints; perturbagen activity is monitored at multiple doses.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10811},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11122},{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11910},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12734}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Cellular assay","Molecular interaction","Small molecule","Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":684,"relation":"undefined"},{"licence_name":"LINCS Data Release Policy","licence_id":492,"licence_url":"http://www.lincsproject.org/data/data-release-policy/","link_id":896,"relation":"undefined"}],"grants":[{"id":2115,"fairsharing_record_id":2247,"organisation_id":2036,"relation":"maintains","created_at":"2021-09-30T09:25:32.551Z","updated_at":"2021-09-30T09:25:32.551Z","grant_id":null,"is_lead":true,"saved_state":{"id":2036,"name":"National Institutes of Health (NIH) Big Data to Knowledge BD2K-LINCS Data Coordination and Integration Center (DCIC), Bethesda, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2116,"fairsharing_record_id":2247,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:32.590Z","updated_at":"2021-09-30T09:29:55.054Z","grant_id":467,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NIH Common Fund","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2248","type":"fairsharing_records","attributes":{"created_at":"2015-12-09T00:28:10.000Z","updated_at":"2023-12-15T10:32:49.359Z","metadata":{"doi":"10.25504/FAIRsharing.ztvs34","name":"Database of small human non-coding RNAs","status":"ready","contacts":[{"contact_name":"Li-San Wang","contact_email":"dashr@lisanwanglab.org","contact_orcid":"0000-0002-3684-0031"}],"homepage":"http://lisanwanglab.org/DASHR","identifier":2248,"description":"Integrated annotation and sequencing-based expression data for all major classes of human small non-coding RNAs (sncRNAs) for both full sncRNA transcripts and mature sncRNA products derived from these larger RNAs.","abbreviation":"DASHR","data_curation":{"url":"https://dashr1.lisanwanglab.org/smdb.php#tabAbout","type":"manual/automated"},"support_links":[{"url":"http://lisanwanglab.org/DASHR/smdb.php#faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2015,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000722","bsg-d000722"],"name":"FAIRsharing record for: Database of small human non-coding RNAs","abbreviation":"DASHR","url":"https://fairsharing.org/10.25504/FAIRsharing.ztvs34","doi":"10.25504/FAIRsharing.ztvs34","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integrated annotation and sequencing-based expression data for all major classes of human small non-coding RNAs (sncRNAs) for both full sncRNA transcripts and mature sncRNA products derived from these larger RNAs.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12735}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","RNA sequence","Sequence annotation","RNA sequencing","Non-coding RNA"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2341,"pubmed_id":26553799,"title":"DASHR: database of small human noncoding RNAs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1188","authors":"Leung YY,Kuksa PP,Amlie-Wolf A,Valladares O,Ungar LH,Kannan S,Gregory BD,Wang LS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1188","created_at":"2021-09-30T08:26:47.525Z","updated_at":"2021-09-30T11:29:33.488Z"}],"licence_links":[],"grants":[{"id":2119,"fairsharing_record_id":2248,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:25:32.711Z","updated_at":"2021-09-30T09:25:32.711Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2118,"fairsharing_record_id":2248,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:32.669Z","updated_at":"2021-09-30T09:30:55.925Z","grant_id":939,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01-GM099962","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2117,"fairsharing_record_id":2248,"organisation_id":1379,"relation":"maintains","created_at":"2021-09-30T09:25:32.627Z","updated_at":"2021-09-30T09:25:32.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":1379,"name":"Institute for Biomedical Informatics (IBI), University of Pennsylvania, Philadelphia, PA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2120,"fairsharing_record_id":2248,"organisation_id":1722,"relation":"maintains","created_at":"2021-09-30T09:25:32.751Z","updated_at":"2021-09-30T09:25:32.751Z","grant_id":null,"is_lead":true,"saved_state":{"id":1722,"name":"Lisa Wang Lab, University of Pennsylvania, United States","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2223","type":"fairsharing_records","attributes":{"created_at":"2015-10-05T14:54:39.000Z","updated_at":"2023-12-15T10:30:16.154Z","metadata":{"doi":"10.25504/FAIRsharing.6w29qp","name":"VirusMentha","status":"ready","contacts":[{"contact_name":"Alberto Calderone","contact_email":"sinnefa@gmail.com","contact_orcid":"0000-0003-0876-1595"}],"homepage":"http://virusmentha.uniroma2.it/","identifier":2223,"description":"VirusMentha is a collection of viral interactions manually curated from protein-protein databases that adhere to the IMEx consortium. This resource offers a series of tools to analyse selected proteins in the context of a network of interactions. virus mentha offers direct access to viral families such as: Orthomyxoviridae, Orthoretrovirinae and Herpesviridae plus, it offers the unique possibility of searching by host organism.","abbreviation":"VirusMentha","data_curation":{"url":"https://virusmentha.uniroma2.it/about.php","type":"manual"},"support_links":[{"url":"http://virusmentha.uniroma2.it/about.php","name":"User Guide","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010685","name":"re3data:r3d100010685","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005987","name":"SciCrunch:RRID:SCR_005987","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000697","bsg-d000697"],"name":"FAIRsharing record for: VirusMentha","abbreviation":"VirusMentha","url":"https://fairsharing.org/10.25504/FAIRsharing.6w29qp","doi":"10.25504/FAIRsharing.6w29qp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VirusMentha is a collection of viral interactions manually curated from protein-protein databases that adhere to the IMEx consortium. This resource offers a series of tools to analyse selected proteins in the context of a network of interactions. virus mentha offers direct access to viral families such as: Orthomyxoviridae, Orthoretrovirinae and Herpesviridae plus, it offers the unique possibility of searching by host organism.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12322},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12724}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Life Science","Epidemiology"],"domains":["Protein interaction","Network model","Protein"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":820,"pubmed_id":25217587,"title":"VirusMentha: a new resource for virus-host protein interactions.","year":2014,"url":"http://doi.org/10.1093/nar/gku830","authors":"Calderone A,Licata L,Cesareni G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku830","created_at":"2021-09-30T08:23:50.414Z","updated_at":"2021-09-30T11:28:52.943Z"}],"licence_links":[],"grants":[{"id":2040,"fairsharing_record_id":2223,"organisation_id":3119,"relation":"maintains","created_at":"2021-09-30T09:25:29.737Z","updated_at":"2021-09-30T09:25:29.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":3119,"name":"University of Rome Tor Vergata, Italy","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2039,"fairsharing_record_id":2223,"organisation_id":1565,"relation":"funds","created_at":"2021-09-30T09:25:29.705Z","updated_at":"2021-09-30T09:31:13.685Z","grant_id":1074,"is_lead":false,"saved_state":{"id":1565,"name":"Italian Association for Cancer Research (AIRC), Milan, Italy","grant":"N IG 2013 N.1413","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2041,"fairsharing_record_id":2223,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:25:29.764Z","updated_at":"2021-09-30T09:31:30.058Z","grant_id":1199,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"RBAP11LP2W","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2224","type":"fairsharing_records","attributes":{"created_at":"2015-10-05T10:43:04.000Z","updated_at":"2024-03-21T13:57:52.039Z","metadata":{"doi":"10.25504/FAIRsharing.ss78t4","name":"SIGnaling Network Open Resource","status":"ready","contacts":[{"contact_name":"Gianni Cesareni","contact_email":"gianni.cesareni@torvergata.it","contact_orcid":"0000-0002-9528-6018"}],"homepage":"https://signor.uniroma2.it/","citations":[],"identifier":2224,"description":"SIGNOR, the SIGnaling Network Open Resource, organizes and stores in a structured format signaling information published in the scientific literature. The captured information is stored as binary causative relationships between biological entities and can be represented graphically as activity flow. The entire network can be freely downloaded and used to support logic modeling or to interpret high content datasets. Each relationship is linked to the literature reporting the experimental evidence. In addition each node is annotated with the chemical inhibitors that modulate its activity. The signaling information is mapped to the human proteome even if the experimental evidence is based on experiments on mammalian model organisms.","abbreviation":"SIGNOR","data_curation":{"url":"https://signor.uniroma2.it/","type":"manual"},"support_links":[{"url":"https://signor.uniroma2.it/user_guide.php","name":"User guide","type":"Help documentation"},{"url":"https://signor.uniroma2.it/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000698","bsg-d000698"],"name":"FAIRsharing record for: SIGnaling Network Open Resource","abbreviation":"SIGNOR","url":"https://fairsharing.org/10.25504/FAIRsharing.ss78t4","doi":"10.25504/FAIRsharing.ss78t4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SIGNOR, the SIGnaling Network Open Resource, organizes and stores in a structured format signaling information published in the scientific literature. The captured information is stored as binary causative relationships between biological entities and can be represented graphically as activity flow. The entire network can be freely downloaded and used to support logic modeling or to interpret high content datasets. Each relationship is linked to the literature reporting the experimental evidence. In addition each node is annotated with the chemical inhibitors that modulate its activity. The signaling information is mapped to the human proteome even if the experimental evidence is based on experiments on mammalian model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12323}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Computational biological predictions","Gene functional annotation","Protein interaction","Network model","Proteome","Signaling","Molecular interaction","Gene-disease association","Literature curation","Biocuration"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["COVID-19"],"countries":["Italy"],"publications":[{"id":1497,"pubmed_id":26467481,"title":"SIGNOR: a database of causal relationships between biological entities.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1048","authors":"Perfetto L,Briganti L,Calderone A,Perpetuini AC,Iannuccelli M,Langone F,Licata L,Marinkovic M,Mattioni A,Pavlidou T,Peluso D,Petrilli LL,Pirro S,Posca D,Santonico E,Silvestri A,Spada F,Castagnoli L,Cesareni G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1048","created_at":"2021-09-30T08:25:07.684Z","updated_at":"2021-09-30T11:29:10.978Z"}],"licence_links":[],"grants":[{"id":2043,"fairsharing_record_id":2224,"organisation_id":1050,"relation":"funds","created_at":"2021-09-30T09:25:29.842Z","updated_at":"2021-09-30T09:31:46.215Z","grant_id":1319,"is_lead":false,"saved_state":{"id":1050,"name":"Fraunhofer-Institut fr Angewandte Informationstechnik (FIT), Sankt Augstin, Germany","grant":"322749","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11511,"fairsharing_record_id":2224,"organisation_id":679,"relation":"maintains","created_at":"2024-03-21T13:57:51.575Z","updated_at":"2024-03-21T13:57:51.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":679,"name":"Bioinformatics and Computational Biology Unit, Molecular Genetics Laboratory, University of Rome Tor Vergata","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2217","type":"fairsharing_records","attributes":{"created_at":"2015-07-27T08:03:11.000Z","updated_at":"2023-12-15T10:32:20.207Z","metadata":{"doi":"10.25504/FAIRsharing.wjhf24","name":"openSNP","status":"ready","contacts":[{"contact_name":"Bastian Greshake","contact_email":"bgreshake@googlemail.com","contact_orcid":"0000-0002-9925-9623"}],"homepage":"https://www.opensnp.org","identifier":2217,"description":"A crowdsourced collection of personal genomics data. Includes SNP genotyping, exome sequencing data, phenotypic annotation and quantified self tracking data.","abbreviation":"openSNP","data_curation":{"url":"https://opensnp.org/faq","type":"manual/automated"},"support_links":[{"url":"https://opensnp.wordpress.com","type":"Blog/News"},{"url":"info@opensnp.org","type":"Support email"},{"url":"https://opensnp.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/opensnporg","type":"Twitter"}],"year_creation":2011,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://opensnp.org/signup","type":"open","notes":"Free login is required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000691","bsg-d000691"],"name":"FAIRsharing record for: openSNP","abbreviation":"openSNP","url":"https://fairsharing.org/10.25504/FAIRsharing.wjhf24","doi":"10.25504/FAIRsharing.wjhf24","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A crowdsourced collection of personal genomics data. Includes SNP genotyping, exome sequencing data, phenotypic annotation and quantified self tracking data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic polymorphism","Phenotype","Single nucleotide polymorphism","Genome","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":808,"pubmed_id":24647222,"title":"openSNP--a crowdsourced web resource for personal genomics.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0089204","authors":"Greshake B,Bayer PE,Rausch H,Reda J","journal":"PLoS One","doi":"10.1371/journal.pone.0089204","created_at":"2021-09-30T08:23:49.154Z","updated_at":"2021-09-30T08:23:49.154Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":907,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":262,"relation":"undefined"},{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":872,"relation":"undefined"}],"grants":[{"id":2025,"fairsharing_record_id":2217,"organisation_id":2264,"relation":"maintains","created_at":"2021-09-30T09:25:29.160Z","updated_at":"2021-09-30T09:25:29.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":2264,"name":"openSNP Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2023,"fairsharing_record_id":2217,"organisation_id":2296,"relation":"funds","created_at":"2021-09-30T09:25:29.104Z","updated_at":"2021-09-30T09:25:29.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":2296,"name":"Patreon","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2024,"fairsharing_record_id":2217,"organisation_id":1148,"relation":"funds","created_at":"2021-09-30T09:25:29.137Z","updated_at":"2021-09-30T09:25:29.137Z","grant_id":null,"is_lead":false,"saved_state":{"id":1148,"name":"German Wikimedia Foundation, Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2026,"fairsharing_record_id":2217,"organisation_id":2552,"relation":"maintains","created_at":"2021-09-30T09:25:29.186Z","updated_at":"2021-09-30T09:25:29.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":2552,"name":"Seven Bridges","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2218","type":"fairsharing_records","attributes":{"created_at":"2015-08-03T17:39:40.000Z","updated_at":"2023-09-07T13:18:20.407Z","metadata":{"doi":"10.25504/FAIRsharing.emcjf0","name":"UniCarbKB","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@unicarbkb.org"}],"homepage":"http://www.unicarbkb.org","citations":[],"identifier":2218,"description":"UniCarbKB is an initiative that aims to promote the creation of an online information storage and search platform for glycomics and glycobiology research. The knowledgebase will offer a freely accessible and information-rich resource supported by querying interfaces, annotation technologies and the adoption of common standards to integrate structural, experimental and functional data.","abbreviation":"UniCarbKB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.unicarbkb.org/about","type":"Help documentation"},{"url":"http://115.146.93.212/confluence/display/UK/UniCarbKB+Summary","type":"Help documentation"},{"url":"https://twitter.com/unicarbkb","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2023-09-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000692","bsg-d000692"],"name":"FAIRsharing record for: UniCarbKB","abbreviation":"UniCarbKB","url":"https://fairsharing.org/10.25504/FAIRsharing.emcjf0","doi":"10.25504/FAIRsharing.emcjf0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniCarbKB is an initiative that aims to promote the creation of an online information storage and search platform for glycomics and glycobiology research. The knowledgebase will offer a freely accessible and information-rich resource supported by querying interfaces, annotation technologies and the adoption of common standards to integrate structural, experimental and functional data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics","Biomedical Science"],"domains":[],"taxonomies":["Apis","Aspergillus oryzae","Bos taurus","Gallus gallus","Homo sapiens","Leishmania","Oryza sativa","Rattus norvegicus","Sus scrofa","Trypanosoma cruzi"],"user_defined_tags":[],"countries":["Australia","Germany","Ireland","Japan","Sweden","Switzerland","United States"],"publications":[{"id":796,"pubmed_id":24234447,"title":"UniCarbKB: building a knowledge platform for glycoproteomics.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1128","authors":"Campbell MP,Peterson R,Mariethoz J,Gasteiger E,Akune Y,Aoki-Kinoshita KF,Lisacek F,Packer NH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1128","created_at":"2021-09-30T08:23:47.768Z","updated_at":"2021-09-30T11:28:51.592Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":873,"relation":"undefined"}],"grants":[{"id":2028,"fairsharing_record_id":2218,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:25:29.245Z","updated_at":"2021-09-30T09:25:29.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2027,"fairsharing_record_id":2218,"organisation_id":2671,"relation":"funds","created_at":"2021-09-30T09:25:29.213Z","updated_at":"2021-09-30T09:25:29.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":2671,"name":"Swedish Foundation for International Cooperation in Research and Higher Education (STINT), Sweden","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2029,"fairsharing_record_id":2218,"organisation_id":142,"relation":"maintains","created_at":"2021-09-30T09:25:29.269Z","updated_at":"2021-09-30T09:25:29.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":142,"name":"Australian National Data Service (ANDS), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2030,"fairsharing_record_id":2218,"organisation_id":1989,"relation":"funds","created_at":"2021-09-30T09:25:29.299Z","updated_at":"2021-09-30T09:25:29.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":1989,"name":"National eResearch Collaboration Tools and Resources project (NeCTAR), Victoria, Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2219","type":"fairsharing_records","attributes":{"created_at":"2015-09-07T12:42:54.000Z","updated_at":"2022-07-20T11:26:53.462Z","metadata":{"doi":"10.25504/FAIRsharing.7v8q4h","name":"ProteoRed","status":"deprecated","contacts":[{"contact_name":"ProteoRed coordination unit","contact_email":"coordinacion@proteored.org"}],"homepage":"http://www.proteored.org","identifier":2219,"description":"Carlos III Networked Proteomics Platform, ProteoRed-ISCIII is a National Network for the coordination, integration and development of the Spanish Proteomics Facilities providing proteomics services for supporting Spanish researchers in the field of proteomics.","abbreviation":"ProteoRed","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.proteored.org/web/guest/news","type":"Blog/News"},{"url":"http://www.proteored.org/web/guest/contact-us","type":"Contact form"},{"url":"http://proteo.cnb.csic.es/trac/wiki/MiapeAPIWebserviceFunctions","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://proteo.cnb.csic.es:8080/pike/","name":"PIKE: Protein Information and Knowledge Extractor"},{"url":"http://estrellapolar.cnb.csic.es/proteored/miape/Miape_Intro.asp?pmPrimera=1","name":"MIAPE Extractor tool"}],"deprecation_date":"2021-9-18","deprecation_reason":"Although the project is active, this database is no longer available at the stated homepage, and updated database URLs cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000693","bsg-d000693"],"name":"FAIRsharing record for: ProteoRed","abbreviation":"ProteoRed","url":"https://fairsharing.org/10.25504/FAIRsharing.7v8q4h","doi":"10.25504/FAIRsharing.7v8q4h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Carlos III Networked Proteomics Platform, ProteoRed-ISCIII is a National Network for the coordination, integration and development of the Spanish Proteomics Facilities providing proteomics services for supporting Spanish researchers in the field of proteomics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Biomedical Science"],"domains":["Target"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1288,"pubmed_id":17031803,"title":"Geographical focus. Proteomics initiatives in Spain: ProteoRed.","year":2006,"url":"http://doi.org/10.1002/pmic.200600487","authors":"Paradela A,Escuredo PR,Albar JP","journal":"Proteomics","doi":"10.1002/pmic.200600487","created_at":"2021-09-30T08:24:43.758Z","updated_at":"2021-09-30T08:24:43.758Z"},{"id":1289,"pubmed_id":21983993,"title":"The ProteoRed MIAPE web toolkit: a user-friendly framework to connect and share proteomics standards.","year":2011,"url":"http://doi.org/10.1074/mcp.M111.008334","authors":"Medina-Aunon JA,Martinez-Bartolome S,Lopez-Garcia MA,Salazar E,Navajas R,Jones AR,Paradela A,Albar JP","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.M111.008334","created_at":"2021-09-30T08:24:43.869Z","updated_at":"2021-09-30T08:24:43.869Z"},{"id":1290,"pubmed_id":20097317,"title":"Relevance of proteomics standards for the ProteoRed Spanish organization.","year":2010,"url":"http://doi.org/10.1016/j.jprot.2010.01.006","authors":"Martinez-Bartolome S,Blanco F,Albar JP","journal":"J Proteomics","doi":"10.1016/j.jprot.2010.01.006","created_at":"2021-09-30T08:24:43.983Z","updated_at":"2021-09-30T08:24:43.983Z"}],"licence_links":[],"grants":[{"id":2031,"fairsharing_record_id":2219,"organisation_id":481,"relation":"maintains","created_at":"2021-09-30T09:25:29.341Z","updated_at":"2021-09-30T09:25:29.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":481,"name":"Centro de Investigacion Medica Aplicada (CIMA), Pamplona, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2230","type":"fairsharing_records","attributes":{"created_at":"2015-11-03T09:44:46.000Z","updated_at":"2022-09-08T13:34:53.912Z","metadata":{"doi":"10.25504/FAIRsharing.x7pwnw","name":"short Open Reading Frame database","status":"deprecated","contacts":[{"contact_name":"Volodimir Olexiouk","contact_email":"volodimir.olexiouk@ugent.be"}],"homepage":"http://www.sorfs.org","citations":[],"identifier":2230,"description":"sORFs.org is a database for sORFs identified using ribosome profiling. Starting from ribosome profiling, sORFs.org identifies sORFs, incorporates state-of-the-art tools and metrics and stores results in a public database. Two query interfaces are provided, a default one enabling quick lookup of sORFs and a BioMart interface providing advanced query and export possibilities. At present, sORFs.org harbors 263 354 sORFs that demonstrate ribosome occupancy, originating from three different cell lines: HCT116 (human), E14_mESC (mouse) and S2 (fruit fly).","abbreviation":"sorfs.org","data_curation":{"type":"not found"},"support_links":[{"url":"http://sorfs.org/contact","type":"Contact form"},{"url":"http://www.sorfs.org/info","type":"Help documentation"},{"url":"https://twitter.com/sORFdb","type":"Twitter"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2022-07-11","deprecation_reason":"This resource no longer has a valid homepage, a new one cannot be found, and the stated contacts cannot be reached. Please let us know if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000704","bsg-d000704"],"name":"FAIRsharing record for: short Open Reading Frame database","abbreviation":"sorfs.org","url":"https://fairsharing.org/10.25504/FAIRsharing.x7pwnw","doi":"10.25504/FAIRsharing.x7pwnw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: sORFs.org is a database for sORFs identified using ribosome profiling. Starting from ribosome profiling, sORFs.org identifies sORFs, incorporates state-of-the-art tools and metrics and stores results in a public database. Two query interfaces are provided, a default one enabling quick lookup of sORFs and a BioMart interface providing advanced query and export possibilities. At present, sORFs.org harbors 263 354 sORFs that demonstrate ribosome occupancy, originating from three different cell lines: HCT116 (human), E14_mESC (mouse) and S2 (fruit fly).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12726}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome map","Ribosomal RNA"],"taxonomies":["Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":343,"pubmed_id":26527729,"title":"sORFs.org: a repository of small ORFs identified by ribosome profiling.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1175","authors":"Olexiouk V,Crappe J,Verbruggen S,Verhegen K,Martens L,Menschaert G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1175","created_at":"2021-09-30T08:22:56.974Z","updated_at":"2021-09-30T11:28:45.617Z"}],"licence_links":[],"grants":[{"id":2063,"fairsharing_record_id":2230,"organisation_id":1658,"relation":"maintains","created_at":"2021-09-30T09:25:30.611Z","updated_at":"2021-09-30T09:25:30.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":1658,"name":"Lab of bioinformatics and computational genomics (BIOBIX), Gent, Belgium","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":9332,"fairsharing_record_id":2230,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:30.935Z","updated_at":"2022-04-11T12:07:30.949Z","grant_id":1501,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"G0D3114N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9335,"fairsharing_record_id":2230,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:31.204Z","updated_at":"2022-04-11T12:07:31.221Z","grant_id":1741,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"12A7813N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2294","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T12:00:36.000Z","updated_at":"2023-12-15T10:31:18.244Z","metadata":{"doi":"10.25504/FAIRsharing.3rv9m8","name":"Ocean Biodiversity Information System","status":"ready","contacts":[{"contact_name":"Ward Appeltans","contact_email":"w.appeltans@unesco.org","contact_orcid":"0000-0002-3237-4547"}],"homepage":"https://obis.org/","citations":[],"identifier":2294,"description":"The Ocean Biodiversity (formerly Biogeographic) information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans. OBIS provides a portal or gateway to many datasets containing information on where and when marine species have been recorded. The datasets are integrated so you can search them all seamlessly by species name, higher taxonomic level, geographic area, depth, and time; and then map and find environmental data related to the locations.","abbreviation":"OBIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://obis.org/data/policy/","name":"OBIS Data Policy","type":"Help documentation"},{"url":"https://obis.org/manual/","name":"The OBIS Manual","type":"Help documentation"},{"url":"https://www.slideshare.net/OBIS-IOC/presentations","name":"OBIS Presentations (Slideshare)","type":"Help documentation"},{"url":"https://obis.org/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://obis.org/about/","name":"About OBIS","type":"Help documentation"},{"url":"https://obis.org/training/","name":"OBIS Training","type":"Training documentation"},{"url":"https://twitter.com/OBISNetwork","name":"@OBISNetwork","type":"Twitter"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"https://obis.org/manual/accessr","name":"OBIS R package"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010088","name":"re3data:r3d100010088","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006933","name":"SciCrunch:RRID:SCR_006933","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000768","bsg-d000768"],"name":"FAIRsharing record for: Ocean Biodiversity Information System","abbreviation":"OBIS","url":"https://fairsharing.org/10.25504/FAIRsharing.3rv9m8","doi":"10.25504/FAIRsharing.3rv9m8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ocean Biodiversity (formerly Biogeographic) information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans. OBIS provides a portal or gateway to many datasets containing information on where and when marine species have been recorded. The datasets are integrated so you can search them all seamlessly by species name, higher taxonomic level, geographic area, depth, and time; and then map and find environmental data related to the locations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geography","Marine Biology","Biodiversity","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1135,"pubmed_id":25858475,"title":"Conservation of biodiversity through taxonomy, data publication, and collaborative infrastructures.","year":2015,"url":"http://doi.org/10.1111/cobi.12496","authors":"Costello MJ,Vanhoorne B,Appeltans W","journal":"Conserv Biol","doi":"10.1111/cobi.12496","created_at":"2021-09-30T08:24:25.982Z","updated_at":"2021-09-30T08:24:25.982Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2081,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2082,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2083,"relation":"undefined"}],"grants":[{"id":2232,"fairsharing_record_id":2294,"organisation_id":1468,"relation":"maintains","created_at":"2021-09-30T09:25:36.690Z","updated_at":"2021-09-30T09:25:36.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":1468,"name":"Intergovernmental Oceanographic Commission of UNESCO (IOC-UNESCO), Paris, France","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2295","type":"fairsharing_records","attributes":{"created_at":"2016-05-03T15:20:31.000Z","updated_at":"2023-12-15T10:30:22.494Z","metadata":{"doi":"10.25504/FAIRsharing.s2txbp","name":"CancerData","status":"ready","contacts":[{"contact_name":"Erik Roelofs","contact_email":"erik.roelofs@maastro.nl","contact_orcid":"0000-0003-2172-8669"}],"homepage":"https://www.cancerdata.org","identifier":2295,"description":"The CancerData site is an effort of the Medical Informatics and Knowledge Engineering team (MIKE for short) of Maastro Clinic, Maastricht, The Netherlands. It offers a central, online repository for the sustained storage of clinical protocols, publications and research datasets. The data that are offered can vary from documents, spreadsheets to (bio-)medical images and treatment simulations. CancerData is a registered member of DataCite, which is an international consortium and member of the International DOI Foundation. Via DataCite, we have the ability to offer persistent identifiers to the datasets via the registration of Digital Object Identifiers (DOI).","abbreviation":"candat","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.cancerdata.org/contact","type":"Contact form"},{"url":"https://www.cancerdata.org/rss.xml","type":"Blog/News"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://www.cancerdata.org/search","name":"Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011086","name":"re3data:r3d100011086","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.cancerdata.org/image_archive","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000769","bsg-d000769"],"name":"FAIRsharing record for: CancerData","abbreviation":"candat","url":"https://fairsharing.org/10.25504/FAIRsharing.s2txbp","doi":"10.25504/FAIRsharing.s2txbp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CancerData site is an effort of the Medical Informatics and Knowledge Engineering team (MIKE for short) of Maastro Clinic, Maastricht, The Netherlands. It offers a central, online repository for the sustained storage of clinical protocols, publications and research datasets. The data that are offered can vary from documents, spreadsheets to (bio-)medical images and treatment simulations. CancerData is a registered member of DataCite, which is an international consortium and member of the International DOI Foundation. Via DataCite, we have the ability to offer persistent identifiers to the datasets via the registration of Digital Object Identifiers (DOI).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Oncology","Health Science","Biomedical Science"],"domains":["Tumor","Image","Centrally registered identifier","Radiotherapy"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1372,"relation":"undefined"}],"grants":[{"id":2233,"fairsharing_record_id":2295,"organisation_id":1740,"relation":"maintains","created_at":"2021-09-30T09:25:36.715Z","updated_at":"2021-09-30T09:25:36.715Z","grant_id":null,"is_lead":false,"saved_state":{"id":1740,"name":"MAASTRO Clinic, Maastricht, The Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2297","type":"fairsharing_records","attributes":{"created_at":"2016-05-17T16:08:13.000Z","updated_at":"2023-06-23T10:56:00.525Z","metadata":{"doi":"10.25504/FAIRsharing.wnk2eq","name":"Medical Data Models","status":"ready","contacts":[{"contact_name":"Martin Dugas","contact_email":"dugas@uni-muenster.de","contact_orcid":"0000-0001-9740-0788"}],"homepage":"https://medical-data-models.org","citations":[],"identifier":2297,"description":"MDM-Portal (Medical Data-Models) is a meta-data registry for creating, analysing, sharing and reusing medical forms, developed by the Institute of Medical Informatics, University of Muenster in Germany. see also http://www.ncbi.nlm.nih.gov/pubmed/26868052 Electronic forms for documentation of patient data are an integral part within the workflow of physicians. A huge amount of data is collected either through routine documentation forms (EHRs) for electronic health records or as case report forms (CRFs) for clinical trials. This raises major scientific challenges for health care, since different health information systems are not necessarily compatible with each other and thus information exchange of structured data is hampered. Software vendors provide a variety of individual documentation forms according to their standard contracts, which function as isolated applications. Furthermore, free availability of those forms is rarely the case. Currently less than 5 % of medical forms are freely accessible. Based on this lack of transparency harmonization of data models in health care is extremely cumbersome, thus work and know-how of completed clinical trials and routine documentation in hospitals are hard to be re-used. The MDM-Portal serves as an infrastructure for academic (non-commercial) medical research to contribute a solution to this problem. It already contains more than 6,000 system-independent forms (CDISC ODM Format, www.cdisc.org, Operational Data Model) with more than 470,000 data-elements. This enables researchers to view, discuss, download and export forms in most common technical formats such as PDF, CSV, Excel, SQL, SPSS, R, etc. A growing user community will lead to a growing database of medical forms. In this matter, we would like to encourage all medical researchers to register and add forms and discuss existing forms.","abbreviation":"MDM","data_curation":{"type":"none"},"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013816","name":"re3data:r3d100013816","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://medical-data-models.org/tutorial","type":"open","notes":"Free registration is required to deposit data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000771","bsg-d000771"],"name":"FAIRsharing record for: Medical Data Models","abbreviation":"MDM","url":"https://fairsharing.org/10.25504/FAIRsharing.wnk2eq","doi":"10.25504/FAIRsharing.wnk2eq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MDM-Portal (Medical Data-Models) is a meta-data registry for creating, analysing, sharing and reusing medical forms, developed by the Institute of Medical Informatics, University of Muenster in Germany. see also http://www.ncbi.nlm.nih.gov/pubmed/26868052 Electronic forms for documentation of patient data are an integral part within the workflow of physicians. A huge amount of data is collected either through routine documentation forms (EHRs) for electronic health records or as case report forms (CRFs) for clinical trials. This raises major scientific challenges for health care, since different health information systems are not necessarily compatible with each other and thus information exchange of structured data is hampered. Software vendors provide a variety of individual documentation forms according to their standard contracts, which function as isolated applications. Furthermore, free availability of those forms is rarely the case. Currently less than 5 % of medical forms are freely accessible. Based on this lack of transparency harmonization of data models in health care is extremely cumbersome, thus work and know-how of completed clinical trials and routine documentation in hospitals are hard to be re-used. The MDM-Portal serves as an infrastructure for academic (non-commercial) medical research to contribute a solution to this problem. It already contains more than 6,000 system-independent forms (CDISC ODM Format, www.cdisc.org, Operational Data Model) with more than 470,000 data-elements. This enables researchers to view, discuss, download and export forms in most common technical formats such as PDF, CSV, Excel, SQL, SPSS, R, etc. A growing user community will lead to a growing database of medical forms. In this matter, we would like to encourage all medical researchers to register and add forms and discuss existing forms.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17401},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12750}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Biomedical Science","Translational Medicine"],"domains":["Patient care","Data model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1159,"pubmed_id":26868052,"title":"Portal of medical data models: information infrastructure for medical research and healthcare","year":2016,"url":"http://doi.org/10.1093/database/bav121","authors":"Dugas M, Neuhaus P, Meidt A, Doods J, Storck M, Bruland P, Varghese J","journal":"Database","doi":"10.1093/database/bav121","created_at":"2021-09-30T08:24:28.885Z","updated_at":"2021-09-30T08:24:28.885Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":912,"relation":"undefined"}],"grants":[{"id":2236,"fairsharing_record_id":2297,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:36.829Z","updated_at":"2021-09-30T09:25:36.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2235,"fairsharing_record_id":2297,"organisation_id":1423,"relation":"maintains","created_at":"2021-09-30T09:25:36.787Z","updated_at":"2021-09-30T09:25:36.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1423,"name":"Institute of Medical Informatics (IMI), University of Muenster, Muenster, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2298","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T08:01:15.000Z","updated_at":"2023-06-22T16:57:21.037Z","metadata":{"doi":"10.25504/FAIRsharing.8zqzm9","name":"Ontology and Knowledge Base of Probability Distributions","status":"ready","contacts":[{"contact_name":"Maciej J Swat","contact_email":"maciej.swat@gmail.com"}],"homepage":"http://www.probonto.org","citations":[],"identifier":2298,"description":"ProbOnto, is an ontology-based knowledge base of probability distributions, featuring more than 150 uni- and multivariate distributions with their defining functions, characteristics, relationships and re-parameterization formulas. It can be used for model annotation and facilitates the encoding of distribution-based models, related functions and quantities. ProbOnto is both an ontology and a knowledge base, however its primary focus is the knowledge base.","abbreviation":"ProbOnto","data_curation":{"type":"automated"},"support_links":[{"url":"http://www.probonto.org","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biosamples/submit","name":"Movies and Figures","type":"Help documentation"},{"url":"https://github.com/probonto/ontology/issues","name":"Github issue tracker","type":"Github"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000772","bsg-d000772"],"name":"FAIRsharing record for: Ontology and Knowledge Base of Probability Distributions","abbreviation":"ProbOnto","url":"https://fairsharing.org/10.25504/FAIRsharing.8zqzm9","doi":"10.25504/FAIRsharing.8zqzm9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProbOnto, is an ontology-based knowledge base of probability distributions, featuring more than 150 uni- and multivariate distributions with their defining functions, characteristics, relationships and re-parameterization formulas. It can be used for model annotation and facilitates the encoding of distribution-based models, related functions and quantities. ProbOnto is both an ontology and a knowledge base, however its primary focus is the knowledge base.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Statistics","Mathematics","Computational Biology","Systems Biology"],"domains":["Mathematical model","Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1171,"pubmed_id":27153608,"title":"ProbOnto: ontology and knowledge base of probability distributions","year":2016,"url":"http://doi.org/10.1093/bioinformatics/btw170","authors":"Maciej J Swat, Pierre Grenon and Sarala M Wimalaratne","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btw170","created_at":"2021-09-30T08:24:30.124Z","updated_at":"2021-09-30T08:24:30.124Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2091,"relation":"undefined"}],"grants":[{"id":2238,"fairsharing_record_id":2298,"organisation_id":786,"relation":"maintains","created_at":"2021-09-30T09:25:36.904Z","updated_at":"2021-09-30T09:25:36.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":786,"name":"Drug Disease Model Resource (DDMoRe), Sandwich, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2237,"fairsharing_record_id":2298,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:25:36.867Z","updated_at":"2021-09-30T09:31:17.718Z","grant_id":1106,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative, Europe","grant":"115156","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9844,"fairsharing_record_id":2298,"organisation_id":3685,"relation":"undefined","created_at":"2022-09-02T08:02:44.004Z","updated_at":"2022-09-02T08:02:44.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":3685,"name":"UCL Institute of Health Informatics","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":9843,"fairsharing_record_id":2298,"organisation_id":908,"relation":"undefined","created_at":"2022-09-02T08:02:44.004Z","updated_at":"2022-09-02T08:02:44.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2307","type":"fairsharing_records","attributes":{"created_at":"2016-06-21T00:43:55.000Z","updated_at":"2024-07-08T11:03:28.450Z","metadata":{"doi":"10.25504/FAIRsharing.2y6rkq","name":"Advanced Ecological Knowledge and Observation System","status":"deprecated","contacts":[{"contact_name":"Dr Anita Smyth","contact_email":"anita.smyth@adelaide.edu.au","contact_orcid":"0000-0003-2214-8842"}],"homepage":"http://www.aekos.org.au/","citations":[],"identifier":2307,"description":"The Advanced Ecological Knowledge and Observation System from the Terrestrial Ecosystem Research Network (TERN AEKOS) focuses on ecological plot data that are generated by land-based ecosystem projects that use survey, monitoring and experimental studies to collect raw data on plants, animals (including traits) and their immediate environments at the same location. Plot data are observations sampled by using scientific techniques such as quadrants, grids, transects, animal trap arrays and other structured sampling techniques.","abbreviation":"TERN AEKOS","data_curation":{},"support_links":[{"url":"http://www.ecoinformatics.org.au/contact_us","name":"Contact Information","type":"Contact form"},{"url":"http://www.ecoinformatics.org.au/feedback_centre","name":"Feedback Centre","type":"Contact form"},{"url":"esupport@tern.org.au","name":"General Contact","type":"Support email"},{"url":"http://www.ecoinformatics.org.au/help_centre","name":"Help Centre","type":"Help documentation"},{"url":"http://www.ecoinformatics.org.au/eco-informatics_facility","name":"About","type":"Help documentation"},{"url":"https://twitter.com/tern_aekos","name":"@tern_aekos","type":"Twitter"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2024-07-08","deprecation_reason":"AusPlots and Queensland CORVEG (QBEIS in EcoPlots) data have been migrated to TERN EcoPlots, a new survey-based data integration platform. Please navigate to the TERN EcoPlots portal to discover and access AusPlots and QEBIS data.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000783","bsg-d000783"],"name":"FAIRsharing record for: Advanced Ecological Knowledge and Observation System","abbreviation":"TERN AEKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.2y6rkq","doi":"10.25504/FAIRsharing.2y6rkq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Advanced Ecological Knowledge and Observation System from the Terrestrial Ecosystem Research Network (TERN AEKOS) focuses on ecological plot data that are generated by land-based ecosystem projects that use survey, monitoring and experimental studies to collect raw data on plants, animals (including traits) and their immediate environments at the same location. Plot data are observations sampled by using scientific techniques such as quadrants, grids, transects, animal trap arrays and other structured sampling techniques.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11249}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Ecology","Biodiversity","Ecosystem Science"],"domains":["Centrally registered identifier","Protocol"],"taxonomies":["Animalia","Plantae"],"user_defined_tags":["SDM modelling data","Species-environment interaction","Trait modelling data"],"countries":["Australia"],"publications":[{"id":181,"pubmed_id":null,"title":"Next-Generation Online Data and Information Infrastructure for the Ecological Science Community","year":2017,"url":"http://doi.org/https://doi.org/10.1201/9781315368252-14","authors":"Turner, David J., Smyth, Anita K., Walker, Craig M., Lowe, Andrew J.","journal":"In Terrestrial Ecosystem Research Infrastructures edited by Abad Chabbi and Henry W. Loescher. Boca Raton, FL, CRC Press, pp: 341–368","doi":"https://doi.org/10.1201/9781315368252-14","created_at":"2021-09-30T08:22:39.773Z","updated_at":"2021-09-30T08:22:39.773Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1899,"relation":"undefined"},{"licence_name":"TERN Data Licensing Policy","licence_id":780,"licence_url":"https://www.tern.org.au/datalicence/","link_id":1903,"relation":"undefined"}],"grants":[{"id":2256,"fairsharing_record_id":2307,"organisation_id":2731,"relation":"funds","created_at":"2021-09-30T09:25:37.524Z","updated_at":"2021-09-30T09:25:37.524Z","grant_id":null,"is_lead":false,"saved_state":{"id":2731,"name":"TERN","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2257,"fairsharing_record_id":2307,"organisation_id":2859,"relation":"maintains","created_at":"2021-09-30T09:25:37.549Z","updated_at":"2021-09-30T09:25:37.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":2859,"name":"Thu University of Adelaide (TERN Eco-informatics)","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2255,"fairsharing_record_id":2307,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:37.498Z","updated_at":"2021-09-30T09:29:42.271Z","grant_id":366,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","grant":"D13/603918","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2308","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T10:26:21.000Z","updated_at":"2023-12-15T10:31:48.412Z","metadata":{"doi":"10.25504/FAIRsharing.d6xz90","name":"Structual and functional MRI data","status":"in_development","contacts":[{"contact_name":"Tomas Slavicek","contact_email":"tomas.slavicek@ceitec.muni.cz"}],"homepage":"http://mafil.ceitec.cz/en/","identifier":2308,"description":"MRI data for brain and mind research incl. simultaneous recording of EEG and electrophysiology. This resource has restricted access.","abbreviation":"MAFIL","data_curation":{"type":"not found"},"year_creation":2015,"data_versioning":"not found","data_access_condition":{"url":"https://mafil.ceitec.cz/en/research-data-handling/","type":"controlled","notes":"User can request data by email."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://mafil.ceitec.cz/en/research-data-handling/","type":"controlled","notes":"Data is obtained through MAFIL imaging services."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000784","bsg-d000784"],"name":"FAIRsharing record for: Structual and functional MRI data","abbreviation":"MAFIL","url":"https://fairsharing.org/10.25504/FAIRsharing.d6xz90","doi":"10.25504/FAIRsharing.d6xz90","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MRI data for brain and mind research incl. simultaneous recording of EEG and electrophysiology. This resource has restricted access.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11226},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11371}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Computational Neuroscience","Biomedical Science","Neuroscience"],"domains":["Medical imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[],"licence_links":[{"licence_name":"MAFIL Data available on request","licence_id":500,"licence_url":"http://mafil.ceitec.cz/en/documents-for-download/","link_id":2405,"relation":"undefined"}],"grants":[{"id":2258,"fairsharing_record_id":2308,"organisation_id":1912,"relation":"maintains","created_at":"2021-09-30T09:25:37.578Z","updated_at":"2021-09-30T09:25:37.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":1912,"name":"Multimodal and Functional Imaging Laboratory, Central European Institute of Technology (CEITEC), Brno, Czech Republic","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2310","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T11:22:53.000Z","updated_at":"2023-12-15T10:33:01.892Z","metadata":{"doi":"10.25504/FAIRsharing.we2r5a","name":"SSBD: a platform for Systems Science of Biological Dynamics","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp"}],"homepage":"https://ssbd.riken.jp","citations":[],"identifier":2310,"description":"SSBD is a database that collects and shares quantitative biological dynamics data, microscopy images, and software tools. SSBD provides a rich set of resources for analyzing quantitative biological data, such as single-molecule, cell, and gene expression nuclei. Quantitative biological data are collected from a variety of species, sources and methods. These include data obtained from both experiment and computational simulation.","abbreviation":"SSBD","data_curation":{"url":"https://ssbd.riken.jp/database/share-your-data/","type":"manual"},"support_links":[{"url":"http://ssbd.qbic.riken.jp/manuals/","name":"Documentation","type":"Help documentation"},{"url":"http://ssbd.qbic.riken.jp/news/","name":"News","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/openssbd/OpenSSBD/","name":"Open source version of the SSBD software platform"},{"url":"http://ssbd.qbic.riken.jp/software/","name":"List of software tools available for download"},{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ssbd.riken.jp/database/share-your-data/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000786","bsg-d000786"],"name":"FAIRsharing record for: SSBD: a platform for Systems Science of Biological Dynamics","abbreviation":"SSBD","url":"https://fairsharing.org/10.25504/FAIRsharing.we2r5a","doi":"10.25504/FAIRsharing.we2r5a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SSBD is a database that collects and shares quantitative biological dynamics data, microscopy images, and software tools. SSBD provides a rich set of resources for analyzing quantitative biological data, such as single-molecule, cell, and gene expression nuclei. Quantitative biological data are collected from a variety of species, sources and methods. These include data obtained from both experiment and computational simulation.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11228},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11373}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular Dynamics","Developmental Biology","Cell Biology"],"domains":["Bioimaging","Microscopy","High-content screen"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Dictyostelium discoideum","Drosophila melanogaster","Escherichia coli","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1383,"pubmed_id":27412095,"title":"SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena.","year":2016,"url":"http://doi.org/10.1093/bioinformatics/btw417","authors":"Tohsato Y,Ho KH,Kyoda K,Onami S","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btw417","created_at":"2021-09-30T08:24:54.660Z","updated_at":"2021-09-30T08:24:54.660Z"}],"licence_links":[{"licence_name":"Individual licenses based on creative commons are annotated to each dataset","licence_id":436,"licence_url":"https://creativecommons.org/","link_id":2357,"relation":"undefined"},{"licence_name":"SSBD Copyright Notice","licence_id":757,"licence_url":"http://ssbd.qbic.riken.jp/copyright/","link_id":2358,"relation":"undefined"}],"grants":[{"id":2263,"fairsharing_record_id":2310,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:25:37.763Z","updated_at":"2021-09-30T09:25:37.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2262,"fairsharing_record_id":2310,"organisation_id":2443,"relation":"maintains","created_at":"2021-09-30T09:25:37.721Z","updated_at":"2023-06-30T19:54:55.304Z","grant_id":null,"is_lead":true,"saved_state":{"id":2443,"name":"RIKEN Center for Biosystems Dynamics Research","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10730,"fairsharing_record_id":2310,"organisation_id":1592,"relation":"funds","created_at":"2023-06-30T19:54:55.167Z","updated_at":"2023-06-30T19:54:55.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2311","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T13:13:36.000Z","updated_at":"2021-11-24T13:19:32.066Z","metadata":{"doi":"10.25504/FAIRsharing.pd7q00","name":"SYSGRO: A resource of fission yeast phenotypic data \u0026 analysis","status":"deprecated","contacts":[{"contact_name":"Rafael E. Carazo Salas","contact_email":"cre20@cam.ac.uk"}],"homepage":"http://smc.sysgro.org/","identifier":2311,"description":"SYSGRO is a high throughput/high-content microscopy fission yeast phenotype database from the Carazo Salas Lab in the University of Cambridge UK, funded thanks to a EU ERC Starting Grant. It contains cell shape, microtubule \u0026 cell cycle progression computational phenotypes for 3004 non-essential gene knockout cell lines. It is the first multi-phenotypic microscopy profiling functional genomics resource for any organism/","abbreviation":"SYSGRO","data_curation":{"type":"not found"},"support_links":[{"url":"contact@sysgro.org","type":"Support email"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2020-03-05","deprecation_reason":"The homepage no longer exists, and the project appears to be closed (https://cordis.europa.eu/project/id/243283/reporting). Please contact us if you have any information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000787","bsg-d000787"],"name":"FAIRsharing record for: SYSGRO: A resource of fission yeast phenotypic data \u0026 analysis","abbreviation":"SYSGRO","url":"https://fairsharing.org/10.25504/FAIRsharing.pd7q00","doi":"10.25504/FAIRsharing.pd7q00","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SYSGRO is a high throughput/high-content microscopy fission yeast phenotype database from the Carazo Salas Lab in the University of Cambridge UK, funded thanks to a EU ERC Starting Grant. It contains cell shape, microtubule \u0026 cell cycle progression computational phenotypes for 3004 non-essential gene knockout cell lines. It is the first multi-phenotypic microscopy profiling functional genomics resource for any organism/","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11229},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11374}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","Cell cycle","Cell division","Phenotype","High-content screen"],"taxonomies":["Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1239,"pubmed_id":25373780,"title":"A genomic Multiprocess survey of machineries that control and link cell shape, microtubule organization, and cell-cycle progression.","year":2014,"url":"http://doi.org/10.1016/j.devcel.2014.09.005","authors":"Graml V,Studera X,Lawson JL,Chessel A,Geymonat M,Bortfeld-Miller M,Walter T,Wagstaff L,Piddini E,Carazo-Salas RE","journal":"Dev Cell","doi":"10.1016/j.devcel.2014.09.005","created_at":"2021-09-30T08:24:38.224Z","updated_at":"2021-09-30T08:24:38.224Z"}],"licence_links":[],"grants":[{"id":2264,"fairsharing_record_id":2311,"organisation_id":2783,"relation":"maintains","created_at":"2021-09-30T09:25:37.801Z","updated_at":"2021-09-30T09:25:37.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":2783,"name":"The Gurdon Institute, University of Cambridge, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2265,"fairsharing_record_id":2311,"organisation_id":1050,"relation":"funds","created_at":"2021-09-30T09:25:37.841Z","updated_at":"2021-09-30T09:31:23.792Z","grant_id":1150,"is_lead":false,"saved_state":{"id":1050,"name":"Fraunhofer-Institut fr Angewandte Informationstechnik (FIT), Sankt Augstin, Germany","grant":"ERC Starting grant","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2314","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T13:45:13.000Z","updated_at":"2021-11-24T13:19:32.223Z","metadata":{"doi":"10.25504/FAIRsharing.88kgtp","name":"Bioimaging","status":"deprecated","contacts":[{"contact_name":"Jaime Prilusky","contact_email":"jaime.prilusky@weizmann.ac.il","contact_orcid":"0000-0002-7019-0191"}],"homepage":"http://bioimg.weizmann.ac.il","identifier":2314,"description":"Bioimg is a central storage server for all the imaging data acquired at the Imaging Units at theWeizmann Institute of Science (WIS) together with instruments of Research Groups in WIS. The data is automatic and incrementally copied to Bioimg several times a day. Metadata can be added to the files to track experiment's information and important notes and to enable efficient search. The stored data is available campus-wide over the network, and can be shared with other users. The Bioimg is available for other Institutions. FAIRsharing does not know the current status of this resource, and we have therefore marked its status as Uncertain. Please contact us if you have any recent information on this resource.","abbreviation":"Bioimg","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. This resource was marked within FAIRsharing as Uncertain in 2019, and then further updated to a deprecated status when no further information could be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000790","bsg-d000790"],"name":"FAIRsharing record for: Bioimaging","abbreviation":"Bioimg","url":"https://fairsharing.org/10.25504/FAIRsharing.88kgtp","doi":"10.25504/FAIRsharing.88kgtp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bioimg is a central storage server for all the imaging data acquired at the Imaging Units at theWeizmann Institute of Science (WIS) together with instruments of Research Groups in WIS. The data is automatic and incrementally copied to Bioimg several times a day. Metadata can be added to the files to track experiment's information and important notes and to enable efficient search. The stored data is available campus-wide over the network, and can be shared with other users. The Bioimg is available for other Institutions. FAIRsharing does not know the current status of this resource, and we have therefore marked its status as Uncertain. Please contact us if you have any recent information on this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11232},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11377}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","High-content screen"],"taxonomies":["All"],"user_defined_tags":["Pre-clinical imaging"],"countries":["Israel"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2319","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T14:54:25.000Z","updated_at":"2023-06-23T16:20:37.948Z","metadata":{"doi":"10.25504/FAIRsharing.nv1n5s","name":"Liverpool CCI OMERO","status":"ready","contacts":[{"contact_name":"Facility Manager","contact_email":"cci@liv.ac.uk"}],"homepage":"http://cci02.liv.ac.uk/gallery/","identifier":2319,"description":"A repository of image / SPM data to support users of the Centre for Cell Imaging, University of Liverpool.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2014,"data_versioning":"not found","data_access_condition":{"url":"https://cci02.liv.ac.uk/gallery/","type":"partially open","notes":"Only public data is available for user logged in with \"public user\""},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000795","bsg-d000795"],"name":"FAIRsharing record for: Liverpool CCI OMERO","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nv1n5s","doi":"10.25504/FAIRsharing.nv1n5s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A repository of image / SPM data to support users of the Centre for Cell Imaging, University of Liverpool.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11237},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11382}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1353,"pubmed_id":null,"title":"The Spherical Nucleic Acids mRNA Detection Paradox","year":2015,"url":"http://doi.org/10.14293/S2199-1006.1.SOR-CHEM.AZ1MJU.v2","authors":"D Mason, G Carolan, M Held, J Comenge, S Cowman, R Lévy","journal":"Science Open","doi":"10.14293/S2199-1006.1.SOR-CHEM.AZ1MJU.v2","created_at":"2021-09-30T08:24:51.394Z","updated_at":"2021-09-30T08:24:51.394Z"},{"id":1354,"pubmed_id":27009190,"title":"Selectivity in glycosaminoglycan binding dictates the distribution and diffusion of fibroblast growth factors in the pericellular matrix.","year":2016,"url":"http://doi.org/10.1098/rsob.150277","authors":"Sun C,Marcello M,Li Y,Mason D,Levy R,Fernig DG","journal":"Open Biol","doi":"10.1098/rsob.150277","created_at":"2021-09-30T08:24:51.501Z","updated_at":"2021-09-30T08:24:51.501Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":442,"relation":"undefined"}],"grants":[{"id":2275,"fairsharing_record_id":2319,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:38.222Z","updated_at":"2021-09-30T09:32:46.797Z","grant_id":1774,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"MR/K015931/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2274,"fairsharing_record_id":2319,"organisation_id":458,"relation":"maintains","created_at":"2021-09-30T09:25:38.186Z","updated_at":"2021-09-30T09:25:38.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":458,"name":"Centre for Cell Imaging, Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2321","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T15:51:43.000Z","updated_at":"2021-11-24T13:19:32.519Z","metadata":{"doi":"10.25504/FAIRsharing.erhnxs","name":"LCI facility data repository","status":"deprecated","contacts":[{"contact_name":"Sylvie Le Guyader","contact_email":"Sylvie.le.guyader@ki.se"}],"homepage":"http://ki.se/en/bionut/welcome-to-the-lci-facility","identifier":2321,"description":"This database is in development and as yet does not have a description available .","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource's homepage no longer has any reference to a data repository, and as such this record has been deprecated","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000797","bsg-d000797"],"name":"FAIRsharing record for: LCI facility data repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.erhnxs","doi":"10.25504/FAIRsharing.erhnxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is in development and as yet does not have a description available .","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11239},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11384}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","High-content screen"],"taxonomies":[],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[],"grants":[{"id":2277,"fairsharing_record_id":2321,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:25:38.302Z","updated_at":"2021-09-30T09:25:38.302Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2323","type":"fairsharing_records","attributes":{"created_at":"2016-08-03T11:18:49.000Z","updated_at":"2022-07-20T12:46:38.124Z","metadata":{"doi":"10.25504/FAIRsharing.xypv6g","name":"ViBE-Z: The Virtual Brain Explorer for Zebrafish","status":"deprecated","contacts":[{"contact_name":"Olaf Ronneberger","contact_email":"ronneber@informatik.uni-freiburg.de"}],"homepage":"http://vibez.informatik.uni-freiburg.de","identifier":2323,"description":"ViBE-Z, the Virtual Brain Explorer for Zebrafish is an imaging and image analysis framework for virtual colocalization studies in larval zebrafish brains, currently available for 72hpf, 48hpf and 96hpf old larvae. ViBE-Z contains a database with precisely aligned gene expression patterns (1um 3 resolution), an anatomical atlas, and a software. This software creates high-quality data sets by fusing multiple confocal microscopic image stacks, and aligns these data sets to the standard larva.","abbreviation":"ViBE-Z","data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"not found","deprecation_date":"2021-9-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000799","bsg-d000799"],"name":"FAIRsharing record for: ViBE-Z: The Virtual Brain Explorer for Zebrafish","abbreviation":"ViBE-Z","url":"https://fairsharing.org/10.25504/FAIRsharing.xypv6g","doi":"10.25504/FAIRsharing.xypv6g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ViBE-Z, the Virtual Brain Explorer for Zebrafish is an imaging and image analysis framework for virtual colocalization studies in larval zebrafish brains, currently available for 72hpf, 48hpf and 96hpf old larvae. ViBE-Z contains a database with precisely aligned gene expression patterns (1um 3 resolution), an anatomical atlas, and a software. This software creates high-quality data sets by fusing multiple confocal microscopic image stacks, and aligns these data sets to the standard larva.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11241},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11386}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy"],"domains":["Bioimaging","Microscopy","Gene expression","Brain imaging"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1245,"pubmed_id":22706672,"title":"ViBE-Z: a framework for 3D virtual colocalization analysis in zebrafish larval brains.","year":2012,"url":"http://doi.org/10.1038/nmeth.2076","authors":"Ronneberger O,Liu K,Rath M,Ruebeta D,Mueller T,Skibbe H,Drayer B,Schmidt T,Filippi A,Nitschke R,Brox T,Burkhardt H,Driever W","journal":"Nat Methods","doi":"10.1038/nmeth.2076","created_at":"2021-09-30T08:24:38.865Z","updated_at":"2021-09-30T08:24:38.865Z"}],"licence_links":[],"grants":[{"id":2278,"fairsharing_record_id":2323,"organisation_id":1713,"relation":"maintains","created_at":"2021-09-30T09:25:38.334Z","updated_at":"2021-09-30T09:25:38.334Z","grant_id":null,"is_lead":false,"saved_state":{"id":1713,"name":"Life Imaging Center (LIC), University of Freiburg, Freiburg, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2324","type":"fairsharing_records","attributes":{"created_at":"2016-08-10T13:30:46.000Z","updated_at":"2023-06-22T16:28:23.712Z","metadata":{"doi":"10.25504/FAIRsharing.7ynng","name":"Collection of Anti Microbial Petides R3","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"biomedinfo@nirrh.res.in"}],"homepage":"http://www.camp3.bicnirrh.res.in/","citations":[],"identifier":2324,"description":"CAMPR3 (Collection of Anti-Microbial Peptides) has been generated to enhance research into AMP families. The collection is compatible with well-known databases such as PubMed and Uniprot with information like sequence, protein definition, accession numbers, structures as well as relevant organisms. Making this database a useful tool in AMP studies.","abbreviation":"CAMP R3","data_curation":{"url":"https://doi.org/10.1093/nar/gkv1051","type":"automated"},"support_links":[{"url":"http://www.camp3.bicnirrh.res.in/campHelp.php","name":"Help","type":"Help documentation"},{"url":"http://www.camp3.bicnirrh.res.in/dbStat.php","name":"Statistics","type":"Other"},{"url":"http://www.camp3.bicnirrh.res.in/aboutUs.php","name":"About","type":"Other"},{"url":"camp@bicnirrh.res.in","type":"Support email"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://www.campsign.bicnirrh.res.in","name":"CampSign"}],"data_access_condition":{"url":"https://doi.org/10.1093/nar/gkv1051","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkv1051","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000800","bsg-d000800"],"name":"FAIRsharing record for: Collection of Anti Microbial Petides R3","abbreviation":"CAMP R3","url":"https://fairsharing.org/10.25504/FAIRsharing.7ynng","doi":"10.25504/FAIRsharing.7ynng","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CAMPR3 (Collection of Anti-Microbial Peptides) has been generated to enhance research into AMP families. The collection is compatible with well-known databases such as PubMed and Uniprot with information like sequence, protein definition, accession numbers, structures as well as relevant organisms. Making this database a useful tool in AMP studies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Proteogenomics"],"domains":[],"taxonomies":["Bacteria","Escherichia coli","Microbiota"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":358,"pubmed_id":19923233,"title":"CAMP: a useful resource for research on antimicrobial peptides.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1021","authors":"Thomas S,Karnik S,Barai RS,Jayaraman VK,Idicula-Thomas S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1021","created_at":"2021-09-30T08:22:58.471Z","updated_at":"2021-09-30T11:28:45.800Z"},{"id":370,"pubmed_id":27089856,"title":"Leveraging family-specific signatures for AMP discovery and high-throughput annotation.","year":2016,"url":"http://doi.org/10.1038/srep24684","authors":"Waghu FH, Barai RS, Idicula-Thomas S.","journal":"Scientific Reports","doi":"10.1038/srep24684","created_at":"2021-09-30T08:22:59.758Z","updated_at":"2021-09-30T08:22:59.758Z"},{"id":744,"pubmed_id":26467475,"title":"CAMPR3: a database on sequences, structures and signatures of antimicrobial peptides.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1051","authors":"Waghu FH,Barai RS,Gurung P,Idicula-Thomas S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1051","created_at":"2021-09-30T08:23:41.935Z","updated_at":"2021-09-30T11:28:49.417Z"},{"id":1664,"pubmed_id":24265220,"title":"CAMP: Collection of sequences and structures of antimicrobial peptides.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1157","authors":"Waghu FH,Gopi L,Barai RS,Ramteke P,Nizami B,Idicula-Thomas S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1157","created_at":"2021-09-30T08:25:26.368Z","updated_at":"2021-09-30T11:29:18.303Z"}],"licence_links":[],"grants":[{"id":2280,"fairsharing_record_id":2324,"organisation_id":1331,"relation":"funds","created_at":"2021-09-30T09:25:38.382Z","updated_at":"2021-09-30T09:25:38.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":1331,"name":"Indian Council of Medical Research, India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2279,"fairsharing_record_id":2324,"organisation_id":741,"relation":"funds","created_at":"2021-09-30T09:25:38.358Z","updated_at":"2021-09-30T09:25:38.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":741,"name":"Department of Science and Technology, Government of India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2281,"fairsharing_record_id":2324,"organisation_id":2006,"relation":"maintains","created_at":"2021-09-30T09:25:38.413Z","updated_at":"2021-09-30T09:25:38.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":2006,"name":"National Institute for Research in Reproductive Health (NIRRH), Mumbai, India","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2325","type":"fairsharing_records","attributes":{"created_at":"2016-08-17T02:47:58.000Z","updated_at":"2023-07-06T10:01:16.447Z","metadata":{"doi":"10.25504/FAIRsharing.dq46p7","name":"Life Science Database Archive","status":"ready","contacts":[{"contact_name":"NBDC catalog team","contact_email":"catalog@integbio.jp","contact_orcid":null}],"homepage":"http://dbarchive.biosciencedbc.jp/index-e.html","citations":[],"identifier":2325,"description":"If a database is inadequate in terms of its description, unclear with respect to the terms of use, or is not downloadable, it may not be fully used, cited or rightly acknowledged by the (research) communities. This is even true for databases with high-quality datasets. The Life Science Database Archive maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata (description of datasets) in a unified format, and to access and download the datasets with clear terms of use (see here for detailed descriptions). In addition, the Archive provides datasets in forms friendly to different types of users in public and private institutions, and thereby supports further contribution of each research to life science.","abbreviation":"LSDB Archive","data_curation":{"type":"none"},"support_links":[{"url":"dbarchive@biosciencedbc.jp","type":"Support email"},{"url":"https://dbarchive.biosciencedbc.jp/contents-en/about/about.html","name":"About","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012368","name":"re3data:r3d100012368","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://biosciencedbc.jp/en/service/","type":"open","notes":"Data must be deposited throught dedicated interfaces."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000801","bsg-d000801"],"name":"FAIRsharing record for: Life Science Database Archive","abbreviation":"LSDB Archive","url":"https://fairsharing.org/10.25504/FAIRsharing.dq46p7","doi":"10.25504/FAIRsharing.dq46p7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: If a database is inadequate in terms of its description, unclear with respect to the terms of use, or is not downloadable, it may not be fully used, cited or rightly acknowledged by the (research) communities. This is even true for databases with high-quality datasets. The Life Science Database Archive maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata (description of datasets) in a unified format, and to access and download the datasets with clear terms of use (see here for detailed descriptions). In addition, the Archive provides datasets in forms friendly to different types of users in public and private institutions, and thereby supports further contribution of each research to life science.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12754}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Proteomics","Life Science","Transcriptomics"],"domains":["Gene expression","Transcription factor","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[{"id":2282,"fairsharing_record_id":2325,"organisation_id":1953,"relation":"maintains","created_at":"2021-09-30T09:25:38.474Z","updated_at":"2021-09-30T09:25:38.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2299","type":"fairsharing_records","attributes":{"created_at":"2016-05-19T08:21:24.000Z","updated_at":"2023-12-15T10:31:47.912Z","metadata":{"doi":"10.25504/FAIRsharing.tje0nv","name":"The ITHANET Portal","status":"ready","contacts":[{"contact_name":"Petros Kountouris","contact_email":"petrosk@cing.ac.cy","contact_orcid":"0000-0003-2681-4355"}],"homepage":"http://www.ithanet.eu","identifier":2299,"description":"The ITHANET Portal represents an expanding resource for clinicians and researchers dealing with haemoglobinopathies and a port of call for patients in search of professional advice. The ITHANET Portal integrates information on news, events, clinical trials and thalassaemia-related organisations, research projects and other scientific networks, wiki-based content of protocols, clinical guidelines and educational articles. Most importantly, disease-specific databases are developed and maintained on the ITHANET Portal, such as databases of haemoglobin variations (IthaGenes), epidemiology (IthaMaps) and HbF inducers (IthaDrugs).","abbreviation":"ITHANET","data_curation":{"url":"https://www.ithanet.eu/home/faqs","type":"manual/automated"},"support_links":[{"url":"http://www.ithanet.eu/about-us/contact-us","type":"Contact form"},{"url":"http://www.ithanet.eu/about-us/f-a-q","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ithanet.eu/ithapedia/index.php/Main_Page","type":"Help documentation"},{"url":"https://twitter.com/ithanet_portal","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ithanet.eu/contact","type":"open","notes":"Reporting any correction or new content must be done using the online Contact Form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000773","bsg-d000773"],"name":"FAIRsharing record for: The ITHANET Portal","abbreviation":"ITHANET","url":"https://fairsharing.org/10.25504/FAIRsharing.tje0nv","doi":"10.25504/FAIRsharing.tje0nv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ITHANET Portal represents an expanding resource for clinicians and researchers dealing with haemoglobinopathies and a port of call for patients in search of professional advice. The ITHANET Portal integrates information on news, events, clinical trials and thalassaemia-related organisations, research projects and other scientific networks, wiki-based content of protocols, clinical guidelines and educational articles. Most importantly, disease-specific databases are developed and maintained on the ITHANET Portal, such as databases of haemoglobin variations (IthaGenes), epidemiology (IthaMaps) and HbF inducers (IthaDrugs).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12751}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science","Biomedical Science","Epidemiology"],"domains":["DNA structural variation","Biomarker","Mutation","Genetic polymorphism","Disease phenotype","Disease","Allele","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Cyprus"],"publications":[{"id":1154,"pubmed_id":25058394,"title":"IthaGenes: an interactive database for haemoglobin variations and epidemiology.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0103020","authors":"Kountouris P, Lederer CW, Fanis P, Feleki X, Old J, Kleanthous M","journal":"PLoS One","doi":"10.1371/journal.pone.0103020","created_at":"2021-09-30T08:24:28.341Z","updated_at":"2021-09-30T08:24:28.341Z"},{"id":1155,"pubmed_id":19657830,"title":"An electronic infrastructure for research and treatment of the thalassemias and other hemoglobinopathies: the Euro-mediterranean ITHANET project.","year":2009,"url":"http://doi.org/10.1080/03630260903089177","authors":"Lederer CW, Basak AN, Aydinok Y, Christou S, El-Beshlawy A, Eleftheriou A, Fattoum S, Felice AE, Fibach E, Galanello R, Gambari R, Gavrila L, Giordano PC, Grosveld F, Hassapopoulou H, Hladka E, Kanavakis E, Locatelli F, Old J, Patrinos GP, Romeo G, Taher A, Traeger-Synodinos J, Vassiliou P, Villegas A, Voskaridou E, Wajcman H, Zafeiropoulos A, Kleanthous M","journal":"Hemoglobin","doi":"10.1080/03630260903089177","created_at":"2021-09-30T08:24:28.449Z","updated_at":"2021-09-30T08:24:28.449Z"}],"licence_links":[],"grants":[{"id":9260,"fairsharing_record_id":2299,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:26.029Z","updated_at":"2022-04-11T12:07:26.048Z","grant_id":1647,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"306201","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2301","type":"fairsharing_records","attributes":{"created_at":"2016-06-03T14:54:08.000Z","updated_at":"2022-05-19T17:58:56.631Z","metadata":{"doi":"10.25504/FAIRsharing.meh9wz","name":"Acytostelium Gene Database","status":"deprecated","contacts":[{"contact_name":"Acytostelium genome consortium","contact_email":"hidek@biol.tsukuba.ac.jp"}],"homepage":"http://cosmos.bot.kyoto-u.ac.jp/acytodb//cgi-bin/index.cgi?org=as","citations":[],"identifier":2301,"description":"Genome and transcriptome database of Acytostelium subglobosum","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000775","bsg-d000775"],"name":"FAIRsharing record for: Acytostelium Gene Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.meh9wz","doi":"10.25504/FAIRsharing.meh9wz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genome and transcriptome database of Acytostelium subglobosum","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["DNA sequence data","Gene model annotation"],"taxonomies":["Acytostelium subglobosum"],"user_defined_tags":[],"countries":["Japan","United Kingdom"],"publications":[{"id":1139,"pubmed_id":25758444,"title":"Comparative genome and transcriptome analyses of the social amoeba Acytostelium subglobosum that accomplishes multicellular development without germ-soma differentiation","year":2015,"url":"http://doi.org/10.1186/s12864-015-1278-x","authors":"Urushihara H, Kuwayama H, Fukuhara K, Itoh T, Kagoshima H, Shin-I T, Toyoda A, Ohishi K, Taniguchi T, Noguchi H, Kuroki Y, Hata T, Uchi K, Mohri K, King JS, Insall RH, Kohara Y, Fujiyama A","journal":"BMC Genomics","doi":"10.1186/s12864-015-1278-x","created_at":"2021-09-30T08:24:26.556Z","updated_at":"2021-09-30T08:24:26.556Z"}],"licence_links":[],"grants":[{"id":2241,"fairsharing_record_id":2301,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:25:36.988Z","updated_at":"2021-09-30T09:30:51.507Z","grant_id":905,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"20017004","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8329,"fairsharing_record_id":2301,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:32:06.868Z","updated_at":"2021-09-30T09:32:06.916Z","grant_id":1475,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"17310112","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2302","type":"fairsharing_records","attributes":{"created_at":"2016-07-11T07:12:58.000Z","updated_at":"2023-12-15T10:30:17.958Z","metadata":{"doi":"10.25504/FAIRsharing.j4ebq1","name":"MitoCheck","status":"ready","contacts":[{"contact_name":"Jean-Karim Heriche","contact_email":"heriche@embl.de"}],"homepage":"http://www.mitocheck.org","citations":[],"identifier":2302,"description":"MitoCheck aims to integrate information on cellular function of human genes while giving access to supporting information such as microscopy images of phenotypes.","abbreviation":"MitoCheck","data_curation":{"type":"none"},"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://www.mitocheck.org/cgi-bin/BACfinder","name":"Mouse BACFinder"},{"url":"https://git.embl.de/heriche/Mitocheck","name":"Perl Library"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.mitocheck.org/about.shtml","type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000776","bsg-d000776"],"name":"FAIRsharing record for: MitoCheck","abbreviation":"MitoCheck","url":"https://fairsharing.org/10.25504/FAIRsharing.j4ebq1","doi":"10.25504/FAIRsharing.j4ebq1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MitoCheck aims to integrate information on cellular function of human genes while giving access to supporting information such as microscopy images of phenotypes.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11223},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11368}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cell Biology"],"domains":["Function analysis","Bioimaging","Gene","High-content screen"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1224,"pubmed_id":20360735,"title":"Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes.","year":2010,"url":"http://doi.org/10.1038/nature08869","authors":"Neumann B, et al.","journal":"Nature","doi":"10.1038/nature08869","created_at":"2021-09-30T08:24:36.442Z","updated_at":"2021-09-30T08:24:36.442Z"},{"id":1228,"pubmed_id":20360068,"title":"Systematic analysis of human protein complexes identifies chromosome segregation proteins.","year":2010,"url":"http://doi.org/10.1126/science.1181348","authors":"Hutchins JR, et al.","journal":"Science","doi":"10.1126/science.1181348","created_at":"2021-09-30T08:24:36.974Z","updated_at":"2021-09-30T08:24:36.974Z"},{"id":2528,"pubmed_id":30202089,"title":"Experimental and computational framework for a dynamic protein atlas of human cell division.","year":2018,"url":"http://doi.org/10.1038/s41586-018-0518-z","authors":"Cai Y,Hossain MJ,Heriche JK,Politi AZ,Walther N,Koch B,Wachsmuth M,Nijmeijer B,Kueblbeck M,Martinic-Kavur M,Ladurner R,Alexander S,Peters JM,Ellenberg J","journal":"Nature","doi":"10.1038/s41586-018-0518-z","created_at":"2021-09-30T08:27:10.129Z","updated_at":"2021-09-30T08:27:10.129Z"}],"licence_links":[],"grants":[{"id":2242,"fairsharing_record_id":2302,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:25:37.026Z","updated_at":"2021-09-30T09:25:37.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2303","type":"fairsharing_records","attributes":{"created_at":"2016-07-11T08:08:07.000Z","updated_at":"2023-06-23T10:53:03.326Z","metadata":{"doi":"10.25504/FAIRsharing.6wf1zw","name":"Image Data Resource","status":"ready","contacts":[{"contact_name":"Josh Moore","contact_email":"j.a.moore@dundee.ac.uk","contact_orcid":"0000-0003-4028-811X"},{"contact_name":"Sébastien Besson","contact_email":"s.besson@dundee.ac.uk","contact_orcid":"0000-0001-8783-1429"},{"contact_name":"General Contact","contact_email":"idr@openmicroscopy.org","contact_orcid":null}],"homepage":"https://idr.openmicroscopy.org","citations":[{"doi":"10.1038/nmeth.4326","pubmed_id":28775673,"publication_id":2515}],"identifier":2303,"description":"The Image Data Resource (IDR) is a public repository of image datasets from published scientific studies, where the community can submit, search and access high-quality bio-image data. It follows the Euro-BioImaging/ELIXIR imaging strategy using the OMERO and Bio-Formats open source software built by the Open Microscopy Environment. Deployed on an OpenStack cloud running on the EMBL-EBI’s Embassy resource, it includes image data linked to independent studies from genetic, RNAi, chemical, localisation and geographic high content screens, super-resolution microscopy, and digital pathology.","abbreviation":"IDR","data_curation":{"url":"https://idr.openmicroscopy.org/about/index.html","type":"none"},"support_links":[{"url":"idr@openmicroscopy.org","name":"Helpdesk","type":"Support email"},{"url":"https://www.openmicroscopy.org/community/","name":"Community Forum","type":"Forum"},{"url":"https://help.openmicroscopy.org","name":"OMERO User Help","type":"Help documentation"},{"url":"http://www.openmicroscopy.org/site/community/mailing-lists","name":"Mailing Lists","type":"Mailing list"},{"url":"http://help.openmicroscopy.org/resources.html","name":"Training Course Material","type":"Training documentation"},{"url":"https://twitter.com/openmicroscopy","name":"@openmicroscopy","type":"Twitter"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012435","name":"re3data:r3d100012435","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_017421","name":"SciCrunch:RRID:SCR_017421","portal":"SciCrunch"}],"data_access_condition":{"url":"https://idr.openmicroscopy.org/about/faq/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://idr.openmicroscopy.org/about/faq/","name":"Follows EMBL-EBI’s open data mission in the domain of biological images"},"data_deposition_condition":{"url":"https://idr.openmicroscopy.org/about/submission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000778","bsg-d000778"],"name":"FAIRsharing record for: Image Data Resource","abbreviation":"IDR","url":"https://fairsharing.org/10.25504/FAIRsharing.6wf1zw","doi":"10.25504/FAIRsharing.6wf1zw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Image Data Resource (IDR) is a public repository of image datasets from published scientific studies, where the community can submit, search and access high-quality bio-image data. It follows the Euro-BioImaging/ELIXIR imaging strategy using the OMERO and Bio-Formats open source software built by the Open Microscopy Environment. Deployed on an OpenStack cloud running on the EMBL-EBI’s Embassy resource, it includes image data linked to independent studies from genetic, RNAi, chemical, localisation and geographic high content screens, super-resolution microscopy, and digital pathology.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11016},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11224},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11369},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13980},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14563}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Life Science","Biomedical Science"],"domains":["Bioimaging","Super-resolution microscopy","Light-sheet illumination","High-content screen"],"taxonomies":["Apis mellifera","Arabidopsis thaliana","Danio rerio","Drosophila","Drosophila melanogaster","Escherichia coli","Gallus gallus","Homo sapiens","Mus musculus","plankton","Plasmodium falciparum","Saccharomyces cerevisiae","SARS-CoV-2","Schizosaccharomyces pombe","Tribolium castaneum"],"user_defined_tags":["Digital pathology"],"countries":["United Kingdom"],"publications":[{"id":2515,"pubmed_id":28775673,"title":"The Image Data Resource: A Bioimage Data Integration and Publication Platform.","year":2017,"url":"http://doi.org/10.1038/nmeth.4326","authors":"Williams E,Moore J,Li SW,Rustici G,Tarkowska A,Chessel A,Leo S,Antal B,Ferguson RK,Sarkans U,Brazma A,Salas REC,Swedlow JR","journal":"Nat Methods","doi":"10.1038/nmeth.4326","created_at":"2021-09-30T08:27:08.592Z","updated_at":"2021-09-30T08:27:08.592Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3256,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":3258,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3257,"relation":"applies_to_content"}],"grants":[{"id":8155,"fairsharing_record_id":2303,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:31:14.580Z","updated_at":"2021-09-30T09:31:14.632Z","grant_id":1083,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","grant":"688945","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2244,"fairsharing_record_id":2303,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:37.121Z","updated_at":"2021-09-30T09:31:13.890Z","grant_id":1076,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M018423/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8659,"fairsharing_record_id":2303,"organisation_id":873,"relation":"funds","created_at":"2021-12-20T16:29:42.311Z","updated_at":"2021-12-20T16:29:42.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2246,"fairsharing_record_id":2303,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:37.192Z","updated_at":"2021-09-30T09:30:59.327Z","grant_id":966,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","grant":"654248","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10676,"fairsharing_record_id":2303,"organisation_id":2261,"relation":"maintains","created_at":"2023-06-16T08:17:21.567Z","updated_at":"2023-06-16T08:17:21.567Z","grant_id":null,"is_lead":true,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":10677,"fairsharing_record_id":2303,"organisation_id":3049,"relation":"maintains","created_at":"2023-06-16T08:17:21.567Z","updated_at":"2023-06-16T08:17:21.567Z","grant_id":null,"is_lead":true,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8904,"fairsharing_record_id":2303,"organisation_id":2854,"relation":"funds","created_at":"2022-03-03T13:25:24.569Z","updated_at":"2022-03-03T13:25:24.569Z","grant_id":1830,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212962/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2243,"fairsharing_record_id":2303,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:25:37.080Z","updated_at":"2021-09-30T09:25:37.080Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8385,"fairsharing_record_id":2303,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:23.817Z","updated_at":"2021-09-30T09:32:23.872Z","grant_id":1601,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/R015384/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9247,"fairsharing_record_id":2303,"organisation_id":920,"relation":"maintains","created_at":"2022-04-11T12:07:25.110Z","updated_at":"2022-04-11T12:07:25.110Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBWUT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a98b06ba365ea079c2d473e13b2e540597d9f29b/idr-logo.png?disposition=inline","exhaustive_licences":true}},{"id":"2304","type":"fairsharing_records","attributes":{"created_at":"2016-07-19T09:50:21.000Z","updated_at":"2023-12-15T10:28:35.542Z","metadata":{"doi":"10.25504/FAIRsharing.tf3mhc","name":"Virtual Parts Repository","status":"ready","contacts":[{"contact_email":"anil.wipat@ncl.ac.uk","contact_orcid":"0000-0002-2454-7188"}],"homepage":"http://www.virtualparts.org","citations":[{"publication_id":1253}],"identifier":2304,"description":"The Virtual Parts Repository (VPR) is a repository of reusable, modular and composable models of biological parts.","abbreviation":"VPR","data_curation":{"url":"http://www.virtualparts.org/","type":"manual","notes":"The database is still under construction and being manually curated."},"support_links":[{"url":"https://dissys.github.io/vprwiki","name":"Documentation","type":"Github"},{"url":"https://github.com/dissys/vprwiki","name":"GitHub Project","type":"Github"}],"year_creation":2010,"data_versioning":"no","data_access_condition":{"url":"http://www.virtualparts.org/about.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000780","bsg-d000780"],"name":"FAIRsharing record for: Virtual Parts Repository","abbreviation":"VPR","url":"https://fairsharing.org/10.25504/FAIRsharing.tf3mhc","doi":"10.25504/FAIRsharing.tf3mhc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Virtual Parts Repository (VPR) is a repository of reusable, modular and composable models of biological parts.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Synthetic Biology","Systems Biology"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1253,"pubmed_id":null,"title":"Composable Modular Models for Synthetic Biology","year":2014,"url":"https://doi.org/10.1145/2631921","authors":"Goksel Misirli, Jennifer Hallinan, Anil Wipat","journal":"ACM Journal on Emerging Technologies in Computing Systems","doi":null,"created_at":"2021-09-30T08:24:39.758Z","updated_at":"2021-09-30T08:24:39.758Z"}],"licence_links":[],"grants":[{"id":2247,"fairsharing_record_id":2304,"organisation_id":2145,"relation":"maintains","created_at":"2021-09-30T09:25:37.215Z","updated_at":"2021-09-30T09:25:37.215Z","grant_id":null,"is_lead":false,"saved_state":{"id":2145,"name":"Newcastle University, Newcastle upon Tyne, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2248,"fairsharing_record_id":2304,"organisation_id":1630,"relation":"maintains","created_at":"2021-09-30T09:25:37.241Z","updated_at":"2021-09-30T09:25:37.241Z","grant_id":null,"is_lead":false,"saved_state":{"id":1630,"name":"Keele University, Staffordshire, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2249,"fairsharing_record_id":2304,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:25:37.264Z","updated_at":"2021-09-30T09:25:37.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2305","type":"fairsharing_records","attributes":{"created_at":"2016-06-14T09:37:07.000Z","updated_at":"2023-12-15T10:30:18.399Z","metadata":{"doi":"10.25504/FAIRsharing.e5y0j0","name":"Clinical Knowledgebase","status":"ready","contacts":[{"contact_name":"Susan Mockus","contact_email":"ckbsupport@jax.org","contact_orcid":"0000-0002-1939-5132"}],"homepage":"https://jax.org/ckb","identifier":2305,"description":"The Jackson Laboratory Clinical Knowledgebase (CKB) is a semi-automated/manually curated database of gene/variant annotations, therapy knowledge, diagnostic/prognostic information, and clinical trials related to oncology. CKB not only contains current information on the protein effect of somatic gene variants, but also connects the variant to targeted therapies through an efficacy evidence annotation. In addition, CKB captures clinical trial patient eligibility criteria that include genomic alterations (genotype-specific). The public access version of CKB encompasses 82 commonly known driver genes. Users can search CKB via gene, gene variants, drug, drug class, indication, and clinical trials. The web-based version of CKB is designed to interrogate the knowledgebase for specific data attributes while also enabling a robust browse like feature when the desired content is unknown.","abbreviation":"JAX-CKB","data_curation":{"url":"https://ckbhome.jax.org/about/curationMethodology","type":"manual/automated"},"support_links":[{"url":"ckbsupport@jax.org","name":"ckbsupport@jax.org","type":"Support email"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"url":"https://ckbhome.jax.org/","type":"partially open"},"data_contact_information":"not found","data_deposition_condition":{"url":"file:///C:/Users/PATOU/Downloads/the_scoop_on_CKB.pdf","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000781","bsg-d000781"],"name":"FAIRsharing record for: Clinical Knowledgebase","abbreviation":"JAX-CKB","url":"https://fairsharing.org/10.25504/FAIRsharing.e5y0j0","doi":"10.25504/FAIRsharing.e5y0j0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Jackson Laboratory Clinical Knowledgebase (CKB) is a semi-automated/manually curated database of gene/variant annotations, therapy knowledge, diagnostic/prognostic information, and clinical trials related to oncology. CKB not only contains current information on the protein effect of somatic gene variants, but also connects the variant to targeted therapies through an efficacy evidence annotation. In addition, CKB captures clinical trial patient eligibility criteria that include genomic alterations (genotype-specific). The public access version of CKB encompasses 82 commonly known driver genes. Users can search CKB via gene, gene variants, drug, drug class, indication, and clinical trials. The web-based version of CKB is designed to interrogate the knowledgebase for specific data attributes while also enabling a robust browse like feature when the desired content is unknown.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12753}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Biomedical Science","Preclinical Studies"],"domains":["Drug report","DNA structural variation","Drug","Cancer","Next generation DNA sequencing","Somatic mutation","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1180,"pubmed_id":26772741,"title":"The clinical trial landscape in oncology and connectivity of somatic mutational profiles to targeted therapies.","year":2016,"url":"http://doi.org/10.1186/s40246-016-0061-7","authors":"Patterson SE1, Liu R2, Statz CM3, Durkin D4, Lakshminarayana A5, Mockus SM6.","journal":"Hum Genomics","doi":"10.1186/s40246-016-0061-7","created_at":"2021-09-30T08:24:31.183Z","updated_at":"2021-09-30T08:24:31.183Z"}],"licence_links":[],"grants":[{"id":9202,"fairsharing_record_id":2305,"organisation_id":2792,"relation":"maintains","created_at":"2022-04-11T12:07:21.691Z","updated_at":"2022-04-11T12:07:21.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2306","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T09:43:26.000Z","updated_at":"2022-07-20T09:37:07.481Z","metadata":{"doi":"10.25504/FAIRsharing.g63c77","name":"Curie Image Database","status":"deprecated","contacts":[{"contact_name":"Perrine Paul-Gilloteaux","contact_email":"perrine.paul-gilloteaux@france-bioimaging.org"}],"homepage":"https://cid.curie.fr","citations":[],"identifier":2306,"description":"In addition to data used in on-going collaborations, this database host images from France Bio Imaging microscopy facility with public access either associated to publications, either that make interest from an image processing point of view (such as challenges for developpers or for use in metrology). This resource requires a log in account, however some projects are available with a guest account.","abbreviation":"CID","data_curation":{},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2022-07-13","deprecation_reason":"This resource no longer has a valid homepage, and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000782","bsg-d000782"],"name":"FAIRsharing record for: Curie Image Database","abbreviation":"CID","url":"https://fairsharing.org/10.25504/FAIRsharing.g63c77","doi":"10.25504/FAIRsharing.g63c77","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In addition to data used in on-going collaborations, this database host images from France Bio Imaging microscopy facility with public access either associated to publications, either that make interest from an image processing point of view (such as challenges for developpers or for use in metrology). This resource requires a log in account, however some projects are available with a guest account.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11225},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11370}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","High-content screen"],"taxonomies":["Aedes aegypti","Drosophila","Homo sapiens","Mus musculus","Saccharomyces"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"CID Require account","licence_id":124,"licence_url":"https://cid.curie.fr/iManage/standard/login.html","link_id":2316,"relation":"undefined"}],"grants":[{"id":2253,"fairsharing_record_id":2306,"organisation_id":367,"relation":"funds","created_at":"2021-09-30T09:25:37.450Z","updated_at":"2021-09-30T09:25:37.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":367,"name":"Canceropole Ile-De-France, Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2251,"fairsharing_record_id":2306,"organisation_id":1363,"relation":"maintains","created_at":"2021-09-30T09:25:37.385Z","updated_at":"2021-09-30T09:25:37.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":1363,"name":"Institut Curie, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2252,"fairsharing_record_id":2306,"organisation_id":2650,"relation":"maintains","created_at":"2021-09-30T09:25:37.417Z","updated_at":"2021-09-30T09:25:37.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":2650,"name":"Strand Avadis, Bangalore, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2254,"fairsharing_record_id":2306,"organisation_id":234,"relation":"maintains","created_at":"2021-09-30T09:25:37.473Z","updated_at":"2021-09-30T09:25:37.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":234,"name":"BioImage Informatics, IPDM, France Bio-Imaging, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2326","type":"fairsharing_records","attributes":{"created_at":"2016-09-14T11:37:16.000Z","updated_at":"2023-12-15T10:32:56.913Z","metadata":{"doi":"10.25504/FAIRsharing.rkwr6y","name":"Oxford University Research Archive","status":"ready","contacts":[{"contact_email":"ora@bodleian.ox.ac.uk"},{"contact_name":"Jason Partridge","contact_email":"jason.partridge@bodleian.ox.ac.uk","contact_orcid":"0000-0001-9819-9991"}],"homepage":"https://ora.ox.ac.uk/","citations":[],"identifier":2326,"description":"The Oxford University Research Archive (ORA) is the institutional repository for the University of Oxford. ORA was established in 2007 as a permanent and secure online archive of research materials produced by members of the University and is managed by the Bodleian Libraries. ORA aims to provide access to the full text of as much of Oxford's academic research as possible, including articles, conference papers, theses, research data, working papers and posters. Digital object identifiers (DOIs) can be assigned to items in the repository for citation and attribution.\n\nMaking materials open access removes barriers that restrict access to research, allowing for free dissemination of full text content, available to anyone with Internet access. ORA promotes and encourages the sharing of the scholarly output produced by the members of the University that have been published under open access conditions, whilst additionally supporting University compliance with research funder policies and assessment. It is a core service of the library and is prioritised due to its central importance to the REF and funder compliance.\n","abbreviation":"ORA","data_curation":{"url":"https://ora.ox.ac.uk/content_policy","type":"manual/automated","notes":"The repository, and its content, is managed and maintained by staff within the Bodleian Libraries although various stakeholders around the University are involved with decision making regarding its function."},"support_links":[{"url":"https://ora.ox.ac.uk/about","name":"About","type":"Help documentation"},{"url":"https://ora.ox.ac.uk/stats","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/oxforduni_repo","name":"@oxforduni_repo","type":"Twitter"},{"url":"https://ora.ox.ac.uk/api","name":"API (Application Programming Interface)","type":"Help documentation"},{"url":"https://ora.ox.ac.uk/contact","name":"Contact us","type":"Contact form"},{"url":"https://libguides.bodleian.ox.ac.uk/ora","name":"ORA Libguide","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011230","name":"re3data:r3d100011230","portal":"re3data"},{"url":"https://v2.sherpa.ac.uk/id/repository/1064","name":"OpenDOAR","portal":"Other"},{"url":"https://core.ac.uk/data-providers/88","name":"CORE","portal":"Other"}],"data_access_condition":{"url":"https://ora.ox.ac.uk/terms_of_use","type":"open","notes":"All information is freely available"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.bodleian.ox.ac.uk/about/libraries/policies","name":"Digital preservation policy"},"data_deposition_condition":{"url":"https://ora.ox.ac.uk/deposit_agreements","type":"controlled","notes":"Only members of the University of Oxford can upload data, publications or theses."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000802","bsg-d000802"],"name":"FAIRsharing record for: Oxford University Research Archive","abbreviation":"ORA","url":"https://fairsharing.org/10.25504/FAIRsharing.rkwr6y","doi":"10.25504/FAIRsharing.rkwr6y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oxford University Research Archive (ORA) is the institutional repository for the University of Oxford. ORA was established in 2007 as a permanent and secure online archive of research materials produced by members of the University and is managed by the Bodleian Libraries. ORA aims to provide access to the full text of as much of Oxford's academic research as possible, including articles, conference papers, theses, research data, working papers and posters. Digital object identifiers (DOIs) can be assigned to items in the repository for citation and attribution.\n\nMaking materials open access removes barriers that restrict access to research, allowing for free dissemination of full text content, available to anyone with Internet access. ORA promotes and encourages the sharing of the scholarly output produced by the members of the University that have been published under open access conditions, whilst additionally supporting University compliance with research funder policies and assessment. It is a core service of the library and is prioritised due to its central importance to the REF and funder compliance.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["All"],"user_defined_tags":["institutional repository","Open Access","digital preservation"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"ORA Policy documents","licence_id":1087,"licence_url":"https://ora.ox.ac.uk/policies","link_id":3415,"relation":"applies_to_content"}],"grants":[{"id":2283,"fairsharing_record_id":2326,"organisation_id":291,"relation":"maintains","created_at":"2021-09-30T09:25:38.522Z","updated_at":"2023-11-28T13:25:03.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":291,"name":"Bodleian Library, University of Oxford, Oxford, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBanNEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--016cf7e897dfc5da10538a2adfa56c4fe19012e0/ora-logo_new_padded.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2327","type":"fairsharing_records","attributes":{"created_at":"2016-08-29T07:45:51.000Z","updated_at":"2023-12-15T10:28:27.022Z","metadata":{"doi":"10.25504/FAIRsharing.txcn6k","name":"RDF Portal","status":"ready","contacts":[{"contact_name":"Hideki Hatanaka","contact_email":"hideki@biosciencedbc.jp","contact_orcid":"0000-0002-0587-2460"},{"contact_name":"NBDC catalog team","contact_email":"catalog@integbio.jp","contact_orcid":null}],"homepage":"https://rdfportal.org","citations":[],"identifier":2327,"description":"The RDF Portal provides a collection of life science datasets in RDF (Resource Description Framework). The portal aims to accelerate integrative utilization of the heterogeneous datasets deposited by various research institutions and groups. In this portal, each dataset comes with a summary, downloadable files and a SPARQL endpoint.","abbreviation":"RDF Portal","data_curation":{"url":"https://rdfportal.org/documents","type":"manual","notes":"RDF data submitted to the RDF portal undergoes a review process by the RDF portal team. T"},"support_links":[{"url":"https://rdfportal.org/documents","name":"Documents","type":"Help documentation"},{"url":"https://dbcls.rois.ac.jp/contact-en.html","name":"Contact","type":"Contact form"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://integbio.jp/rdf/documents/Submitting_a_RDF_dataset","type":"controlled","notes":"Submissions from research groups in Japan only"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000803","bsg-d000803"],"name":"FAIRsharing record for: RDF Portal","abbreviation":"RDF Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.txcn6k","doi":"10.25504/FAIRsharing.txcn6k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RDF Portal provides a collection of life science datasets in RDF (Resource Description Framework). The portal aims to accelerate integrative utilization of the heterogeneous datasets deposited by various research institutions and groups. In this portal, each dataset comes with a summary, downloadable files and a SPARQL endpoint.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Health Science","Proteomics","Phylogeny","Life Science","Cell Biology"],"domains":["Bibliography","Gene expression","Drug interaction","Pathway model","Sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"NBDC Site Policies","licence_id":998,"licence_url":"https://biosciencedbc.jp/en/sitepolicies/","link_id":2940,"relation":"applies_to_content"}],"grants":[{"id":2284,"fairsharing_record_id":2327,"organisation_id":645,"relation":"maintains","created_at":"2021-09-30T09:25:38.561Z","updated_at":"2023-07-05T07:10:51.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":645,"name":"Database Center for Life Science","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2328","type":"fairsharing_records","attributes":{"created_at":"2016-09-02T11:14:34.000Z","updated_at":"2023-12-15T10:32:16.455Z","metadata":{"doi":"10.25504/FAIRsharing.81ettx","name":"Bioconductor","status":"ready","contacts":[{"contact_name":"Sean Davis","contact_email":"seandavi@gmail.com","contact_orcid":"0000-0002-8991-6458"}],"homepage":"https://bioconductor.org","identifier":2328,"description":"Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development.","abbreviation":"Bioc","data_curation":{"type":"none"},"support_links":[{"url":"https://bioconductor.org/help/events/","type":"Blog/News"},{"url":"https://bioconductor.org/help/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://support.bioconductor.org/","type":"Forum"},{"url":"https://bioconductor.org/help/course-materials/","name":"Courses and Conferences","type":"Help documentation"},{"url":"https://bioconductor.org/help/community/","name":"Community ressource","type":"Help documentation"},{"url":"https://twitter.com/Bioconductor","type":"Twitter"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"https://bioconductor.org/news/bioc_3_10_release/","name":"Bioconductor 3.10"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013238","name":"re3data:r3d100013238","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006442","name":"SciCrunch:RRID:SCR_006442","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000804","bsg-d000804"],"name":"FAIRsharing record for: Bioconductor","abbreviation":"Bioc","url":"https://fairsharing.org/10.25504/FAIRsharing.81ettx","doi":"10.25504/FAIRsharing.81ettx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12755}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genomics","Life Science"],"domains":["DNA sequence data","Next generation DNA sequencing","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2285,"fairsharing_record_id":2328,"organisation_id":225,"relation":"maintains","created_at":"2021-09-30T09:25:38.593Z","updated_at":"2021-09-30T09:25:38.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":225,"name":"Bioconductor","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}}],"links":{"self":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=1\u0026page%5Bsize%5D=2500","first":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=1\u0026page%5Bsize%5D=2500","prev":null,"next":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=2\u0026page%5Bsize%5D=2500","last":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=2\u0026page%5Bsize%5D=2500"}} \ No newline at end of file +{"data":[{"id":"187","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:37.654Z","metadata":{"doi":"10.25504/FAIRsharing.36pf8q","name":"RxNORM","status":"ready","contacts":[{"contact_email":"rxnorminfo@nlm.nih.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/rxnorm/","citations":[],"identifier":187,"description":"RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, MediSpan, Gold Standard Drug Database, and Multum. By providing links between these vocabularies, RxNorm can mediate messages between systems not using the same software and vocabulary. RxNorm now includes the National Drug File - Reference Terminology (NDF-RT) from the Veterans Health Administration. NDF-RT is a terminology used to code clinical drug properties, including mechanism of action, physiologic effect, and therapeutic category.","abbreviation":"RxNORM","support_links":[{"url":"custserv@nlm.nih.gov","name":"NLM Customer Service","type":"Support email"},{"url":"https://www.nlm.nih.gov/research/umls/rxnorm/overview.html","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/research/umls/rxnorm/docs/index.html","type":"Help documentation"}],"year_creation":2001,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RXNORM","name":"RXNORM","portal":"BioPortal"}]},"legacy_ids":["bsg-002648","bsg-s002648"],"name":"FAIRsharing record for: RxNORM","abbreviation":"RxNORM","url":"https://fairsharing.org/10.25504/FAIRsharing.36pf8q","doi":"10.25504/FAIRsharing.36pf8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, MediSpan, Gold Standard Drug Database, and Multum. By providing links between these vocabularies, RxNorm can mediate messages between systems not using the same software and vocabulary. RxNorm now includes the National Drug File - Reference Terminology (NDF-RT) from the Veterans Health Administration. NDF-RT is a terminology used to code clinical drug properties, including mechanism of action, physiologic effect, and therapeutic category.","linked_records":[],"linking_records":[{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17686},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11048},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12463},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13175},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14549},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16974}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Drug name","Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1254,"pubmed_id":18998891,"title":"RxTerms - a drug interface terminology derived from RxNorm.","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/18998891","authors":"Fung KW,McDonald C,Bray BE","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:24:39.867Z","updated_at":"2021-09-30T08:24:39.867Z"},{"id":1255,"pubmed_id":21515544,"title":"Normalized names for clinical drugs: RxNorm at 6 years.","year":2011,"url":"http://doi.org/10.1136/amiajnl-2011-000116","authors":"Nelson SJ,Zeng K,Kilbourne J,Powell T,Moore R","journal":"J Am Med Inform Assoc","doi":"10.1136/amiajnl-2011-000116","created_at":"2021-09-30T08:24:39.975Z","updated_at":"2021-09-30T08:24:39.975Z"},{"id":1256,"pubmed_id":null,"title":"RxNorm: prescription for electronic drug information exchange","year":2005,"url":"http://doi.org/10.1109/MITP.2005.122","authors":"S. Liu ; Wei Ma ; R. Moore ; V. Ganesan ; S. Nelson","journal":"IEEE Xplore Digital Library","doi":"10.1109/MITP.2005.122","created_at":"2021-09-30T08:24:40.091Z","updated_at":"2021-09-30T08:24:40.091Z"}],"licence_links":[{"licence_name":"RxNORM Terms of service","licence_id":721,"licence_url":"https://www.nlm.nih.gov/research/umls/rxnorm/docs/termsofservice.html","link_id":1184,"relation":"undefined"}],"grants":[{"id":5240,"fairsharing_record_id":187,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:19.978Z","updated_at":"2021-09-30T09:27:19.978Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"188","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T11:15:09.000Z","updated_at":"2022-07-20T09:19:21.967Z","metadata":{"doi":"10.25504/FAIRsharing.kfqVQ7","name":"BcForms Grammar","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"https://www.bcforms.org/#grammar","citations":[{"publication_id":2611}],"identifier":188,"description":"The BcForms represents complexes as a sets of subunits, including their stoichiometries, and a set of interchain/intersubunit crosslinks. Furthermore, BcForms can be combined with BpForms and SMILES descriptions of subunits to calculate properties of complexes. BcForms descriptions of complexes consist of two parts: subunit composition of the complex, and interchain crosslinks. The BcForms grammar is defined in Lark syntax, which is based on EBNF syntax.","abbreviation":"BcForms Grammar","support_links":[{"url":"info@karrlab.org","type":"Support email"},{"url":"https://github.com/karrlab/bcforms/pulls","name":"Git pull request","type":"Github"},{"url":"https://github.com/KarrLab/bcforms","name":"Source code","type":"Github"},{"url":"https://www.bcforms.org/","name":"BcForms Project","type":"Help documentation"},{"url":"http://sandbox.karrlab.org/tree/bcforms","name":"Tutorial for the Python API","type":"Help documentation"},{"url":"https://www.bcforms.org/api/","name":"Query builder for the REST API","type":"Help documentation"}],"year_creation":2019,"associated_tools":[{"url":"https://docs.karrlab.org/bcforms/master/0.0.9/installation.html","name":"Python library"}]},"legacy_ids":["bsg-001397","bsg-s001397"],"name":"FAIRsharing record for: BcForms Grammar","abbreviation":"BcForms Grammar","url":"https://fairsharing.org/10.25504/FAIRsharing.kfqVQ7","doi":"10.25504/FAIRsharing.kfqVQ7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BcForms represents complexes as a sets of subunits, including their stoichiometries, and a set of interchain/intersubunit crosslinks. Furthermore, BcForms can be combined with BpForms and SMILES descriptions of subunits to calculate properties of complexes. BcForms descriptions of complexes consist of two parts: subunit composition of the complex, and interchain crosslinks. The BcForms grammar is defined in Lark syntax, which is based on EBNF syntax.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Bioinformatics","Genetics","Life Science"],"domains":["Protein-containing complex","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2611,"pubmed_id":null,"title":"BpForms and BcForms: Tools for concretely describing non-canonical polymers and complexes to facilitate comprehensive biochemical networks","year":2019,"url":"https://arxiv.org/abs/1903.10042","authors":"Paul F. Lang, Yassmine Chebaro, Xiaoyue Zheng, John A. P. Sekar, Bilal Shaikh, Darren A. Natale, Jonathan R. Karr","journal":"arXiv","doi":null,"created_at":"2021-09-30T08:27:20.521Z","updated_at":"2021-09-30T08:27:20.521Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":71,"relation":"undefined"}],"grants":[{"id":5241,"fairsharing_record_id":188,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:27:20.016Z","updated_at":"2021-09-30T09:27:20.016Z","grant_id":null,"is_lead":true,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5242,"fairsharing_record_id":188,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:20.053Z","updated_at":"2021-09-30T09:31:49.190Z","grant_id":1341,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"INSPIRE","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5243,"fairsharing_record_id":188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:20.094Z","updated_at":"2021-09-30T09:32:28.994Z","grant_id":1639,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41 award","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8488,"fairsharing_record_id":188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:52.070Z","updated_at":"2021-09-30T09:32:52.161Z","grant_id":1812,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"MIRA R35 award","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"189","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:46.000Z","updated_at":"2022-07-20T11:05:15.750Z","metadata":{"doi":"10.25504/FAIRsharing.VRo9Dl","name":"FAIR Maturity Indicator Gen2-MI-F1B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F1B.md","identifier":189,"description":"The FAIR Maturity Indicator Gen2-MI-F1B measures whether the GUID matches (regexp) a GUID scheme recognized as being persistent. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must try to use GUID types that are guaranteed, by stable third-parties, to be persistent. This includes stable providers of PURLs.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001373","bsg-s001373"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F1B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.VRo9Dl","doi":"10.25504/FAIRsharing.VRo9Dl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F1B measures whether the GUID matches (regexp) a GUID scheme recognized as being persistent. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must try to use GUID types that are guaranteed, by stable third-parties, to be persistent. This includes stable providers of PURLs.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13171},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13211},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13230},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13260},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13275},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20165}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1484,"relation":"undefined"}],"grants":[{"id":5244,"fairsharing_record_id":189,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:20.133Z","updated_at":"2021-09-30T09:27:20.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5247,"fairsharing_record_id":189,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:20.223Z","updated_at":"2021-09-30T09:27:20.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5245,"fairsharing_record_id":189,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:20.167Z","updated_at":"2021-09-30T09:27:20.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5246,"fairsharing_record_id":189,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:20.198Z","updated_at":"2021-09-30T09:27:20.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"190","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-23T09:04:45.235Z","metadata":{"doi":"10.25504/FAIRsharing.frp1rm","name":"Cancer Research and Management ACGT Master Ontology","status":"ready","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"mbrochhausen@gmail.com","contact_orcid":"0000-0003-1834-3856"},{"contact_name":"Cristian Cocos","contact_email":"cristi@ieee.org","contact_orcid":null}],"homepage":"https://www.uni-saarland.de/institut/ifomis/activities/acgt-master-ontology.html","citations":[{"doi":"10.1016/j.jbi.2010.04.008","pubmed_id":20438862,"publication_id":2428}],"identifier":190,"description":"The ACGT Master Ontology, which has been developed within the FP6-IST project \"Advancing Clinico-Genomic Trials\", has the aim to represent the domain of cancer research and management in a computationally tractable manner. The ACGT MO is built being maintained, using the Protégé-OWL free open-source ontology editor, Version 4. It is written in OWL-DL and presented as an .owl file. The ACGT MO is re-using Basic Formal Ontology (BFO) as upper level and the OBO Relation Ontology. Although this resource is available at the stated homepage, it has not been updated in a number of years, and we could not get in touch with the contacts provided.","abbreviation":"ACGT-MO","support_links":[{"url":"https://github.com/IFOMIS/ACGT","type":"Github"},{"url":"https://old.datahub.io/dataset/bioportal-acgt","name":"Datahub","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-002609","bsg-s002609"],"name":"FAIRsharing record for: Cancer Research and Management ACGT Master Ontology","abbreviation":"ACGT-MO","url":"https://fairsharing.org/10.25504/FAIRsharing.frp1rm","doi":"10.25504/FAIRsharing.frp1rm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ACGT Master Ontology, which has been developed within the FP6-IST project \"Advancing Clinico-Genomic Trials\", has the aim to represent the domain of cancer research and management in a computationally tractable manner. The ACGT MO is built being maintained, using the Protégé-OWL free open-source ontology editor, Version 4. It is written in OWL-DL and presented as an .owl file. The ACGT MO is re-using Basic Formal Ontology (BFO) as upper level and the OBO Relation Ontology. Although this resource is available at the stated homepage, it has not been updated in a number of years, and we could not get in touch with the contacts provided.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18143}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Life Science","Biomedical Science"],"domains":["Cancer","Tumor","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Germany","Greece","Spain","United States"],"publications":[{"id":2428,"pubmed_id":20438862,"title":"The ACGT Master Ontology and its applications--towards an ontology-driven cancer research and management system.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.04.008","authors":"Brochhausen M,Spear AD,Cocos C,Weiler G,Martin L,Anguita A,Stenzhorn H,Daskalaki E,Schera F,Schwarz U,Sfakianakis S,Kiefer S,Dorr M,Graf N,Tsiknakis M","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.04.008","created_at":"2021-09-30T08:26:57.953Z","updated_at":"2021-09-30T08:26:57.953Z"}],"licence_links":[],"grants":[{"id":5248,"fairsharing_record_id":190,"organisation_id":20,"relation":"maintains","created_at":"2021-09-30T09:27:20.252Z","updated_at":"2023-12-06T13:36:09.747Z","grant_id":null,"is_lead":true,"saved_state":{"id":20,"name":"ACGT Master Ontology (MO) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"191","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.875Z","metadata":{"doi":"10.25504/FAIRsharing.jrxhh7","name":"Cereal Plant Development","status":"deprecated","contacts":[{"contact_name":"Doreen Ware","contact_email":"ware@cshl.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1047","identifier":191,"description":"A structured controlled vocabulary for describing cereal plant development and growth stages. Please note that this ontology has now been superseded by the Plant Ontology.","abbreviation":"GRO_CPD","support_links":[{"url":"http://tools.gramene.org/feedback?refer_from=/plant_ontology/index.html","type":"Contact form"}],"year_creation":2007,"deprecation_date":"2017-02-23","deprecation_reason":"This ontology has been superseded by the Plant Ontology."},"legacy_ids":["bsg-002588","bsg-s002588"],"name":"FAIRsharing record for: Cereal Plant Development","abbreviation":"GRO_CPD","url":"https://fairsharing.org/10.25504/FAIRsharing.jrxhh7","doi":"10.25504/FAIRsharing.jrxhh7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for describing cereal plant development and growth stages. Please note that this ontology has now been superseded by the Plant Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Agriculture"],"domains":[],"taxonomies":["Poaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5249,"fairsharing_record_id":191,"organisation_id":2332,"relation":"maintains","created_at":"2021-09-30T09:27:20.295Z","updated_at":"2021-09-30T09:27:20.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":2332,"name":"Plant Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"192","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-06T13:53:10.828Z","metadata":{"doi":"10.25504/FAIRsharing.6brn4p","name":"ImMunoGeneTics Ontology","status":"ready","contacts":[{"contact_name":"Véronique Giudicelli","contact_email":"Veronique.Giudicelli@igh.cnrs.fr","contact_orcid":"0000-0002-2258-468X"}],"homepage":"https://www.imgt.org/download/IMGT-ONTOLOGY/","citations":[],"identifier":192,"description":"IMGT-ONTOLOGY provides a specific vocabulary of the terminology to be used in immunogenetics and immunoinformatics. The ontology allows for the standardization for immunogenetics data from genome, proteome, genetics, two-dimensional and three-dimensional structures.","abbreviation":"IMGT Ontology","support_links":[],"year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IMGT-ONTOLOGY","name":"IMGT-ONTOLOGY","portal":"BioPortal"}]},"legacy_ids":["bsg-002665","bsg-s002665"],"name":"FAIRsharing record for: ImMunoGeneTics Ontology","abbreviation":"IMGT Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.6brn4p","doi":"10.25504/FAIRsharing.6brn4p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IMGT-ONTOLOGY provides a specific vocabulary of the terminology to be used in immunogenetics and immunoinformatics. The ontology allows for the standardization for immunogenetics data from genome, proteome, genetics, two-dimensional and three-dimensional structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Informatics","Immunogenetics","Genetics","Immunology","Biomedical Science"],"domains":["Molecular structure","Proteome","Cellular component","Biological process","Immunoglobulin complex","Antibody","Structure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2972,"pubmed_id":22654892,"title":"IMGT-ONTOLOGY 2012.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00079","authors":"Giudicelli V,Lefranc MP","journal":"Front Genet","doi":"10.3389/fgene.2012.00079","created_at":"2021-09-30T08:28:06.250Z","updated_at":"2021-09-30T08:28:06.250Z"},{"id":3038,"pubmed_id":10745995,"title":"Ontology for immunogenetics: the IMGT-ONTOLOGY.","year":2000,"url":"http://doi.org/10.1093/bioinformatics/15.12.1047","authors":"Giudicelli V,Lefranc MP","journal":"Bioinformatics","doi":"10.1093/bioinformatics/15.12.1047","created_at":"2021-09-30T08:28:14.416Z","updated_at":"2021-09-30T08:28:14.416Z"},{"id":3039,"pubmed_id":24600447,"title":"Immunoglobulin and T Cell Receptor Genes: IMGT((R)) and the Birth and Rise of Immunoinformatics.","year":2014,"url":"http://doi.org/10.3389/fimmu.2014.00022","authors":"Lefranc MP","journal":"Front Immunol","doi":"10.3389/fimmu.2014.00022","created_at":"2021-09-30T08:28:14.575Z","updated_at":"2021-09-30T08:28:14.575Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":2188,"relation":"undefined"},{"licence_name":"IMGT Terms of Use","licence_id":431,"licence_url":"http://imgt.org/about/termsofuse.php","link_id":2189,"relation":"undefined"}],"grants":[{"id":5250,"fairsharing_record_id":192,"organisation_id":3101,"relation":"funds","created_at":"2021-09-30T09:27:20.336Z","updated_at":"2021-09-30T09:27:20.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":5251,"fairsharing_record_id":192,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:20.375Z","updated_at":"2021-09-30T09:27:20.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5253,"fairsharing_record_id":192,"organisation_id":1495,"relation":"maintains","created_at":"2021-09-30T09:27:20.445Z","updated_at":"2023-09-06T13:51:10.071Z","grant_id":null,"is_lead":true,"saved_state":{"id":1495,"name":"International ImMunoGeneTics information system (IMGT), Montpellier, France","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5252,"fairsharing_record_id":192,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:27:20.407Z","updated_at":"2021-09-30T09:27:20.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdU1DIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8a182a30111a331dc7f589ae66886d77014f3d3b/logo2_IMGT.png?disposition=inline","exhaustive_licences":true}},{"id":"193","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:15.927Z","metadata":{"doi":"10.25504/FAIRsharing.jkj6ah","name":"Tissue Microarray Ontology","status":"uncertain","contacts":[{"contact_name":"Chuck Borromeo","contact_email":"borromeocd@upmc.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1494","identifier":193,"description":"Tissue microarrays (TMA) are enormously useful tools for translational research, but incompatibilities in database systems between various researchers and institutions prevent the efficient sharing of data that could help realize their full potential.","abbreviation":"TMA","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TMA","name":"TMA","portal":"BioPortal"}]},"legacy_ids":["bsg-002666","bsg-s002666"],"name":"FAIRsharing record for: Tissue Microarray Ontology","abbreviation":"TMA","url":"https://fairsharing.org/10.25504/FAIRsharing.jkj6ah","doi":"10.25504/FAIRsharing.jkj6ah","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Tissue microarrays (TMA) are enormously useful tools for translational research, but incompatibilities in database systems between various researchers and institutions prevent the efficient sharing of data that could help realize their full potential.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12459}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Expression data","Cellular localization","Microarray experiment","Histology","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1753,"pubmed_id":18460177,"title":"Ontology-based, Tissue MicroArray oriented, image centered tissue bank.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-S4-S4","authors":"Viti F,Merelli I,Caprera A,Lazzari B,Stella A,Milanesi L","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-S4-S4","created_at":"2021-09-30T08:25:36.755Z","updated_at":"2021-09-30T08:25:36.755Z"},{"id":2545,"pubmed_id":17476071,"title":"Tissue MicroArray: a distributed Grid approach for image analysis.","year":2007,"url":"https://www.ncbi.nlm.nih.gov/pubmed/17476071","authors":"Viti F,Merelli I,Galizia A,D'Agostino D,Clematis A,Milanesi L","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:27:12.079Z","updated_at":"2021-09-30T08:27:12.079Z"}],"licence_links":[],"grants":[{"id":5254,"fairsharing_record_id":193,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:20.486Z","updated_at":"2021-09-30T09:27:20.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"194","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:50.665Z","metadata":{"doi":"10.25504/FAIRsharing.msgwvy","name":"Portfolio Management Application","status":"uncertain","contacts":[{"contact_name":"Jim Martin","contact_email":"martinji@mail.nih.gov","contact_orcid":"0000-0002-3891-0347"}],"homepage":"http://bioportal.bioontology.org/ontologies/1497","identifier":194,"description":"The Portfolio Management Application (PMA) is a system for tracking grants and producing reports - Users can access grant data through a query interface and a variety of pre-defined forms and reports","abbreviation":"PMA","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PMA","name":"PMA","portal":"BioPortal"}]},"legacy_ids":["bsg-002667","bsg-s002667"],"name":"FAIRsharing record for: Portfolio Management Application","abbreviation":"PMA","url":"https://fairsharing.org/10.25504/FAIRsharing.msgwvy","doi":"10.25504/FAIRsharing.msgwvy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Portfolio Management Application (PMA) is a system for tracking grants and producing reports - Users can access grant data through a query interface and a variety of pre-defined forms and reports","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12454}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5255,"fairsharing_record_id":194,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:20.525Z","updated_at":"2021-09-30T09:27:20.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"195","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T12:41:40.554Z","metadata":{"doi":"10.25504/FAIRsharing.8pbhs0","name":"Multiple sclerosis ontology","status":"ready","contacts":[{"contact_name":"Ashutosh Malhotra","contact_email":"ashutosh.malhotra@scai.fraunhofer.de"}],"homepage":"http://www.scai.fraunhofer.de/de/geschaeftsfelder/bioinformatik/downloads.html","citations":[],"identifier":195,"description":"An ontology for Multiple Sclerosis. Information for this ontology was drawn from PubMed abstracts and electronic health records.","abbreviation":"MSO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSO","name":"MSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000981","bsg-s000981"],"name":"FAIRsharing record for: Multiple sclerosis ontology","abbreviation":"MSO","url":"https://fairsharing.org/10.25504/FAIRsharing.8pbhs0","doi":"10.25504/FAIRsharing.8pbhs0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for Multiple Sclerosis. Information for this ontology was drawn from PubMed abstracts and electronic health records.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Multiple Sclerosis"],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"196","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.007Z","metadata":{"doi":"10.25504/FAIRsharing.x6sgd3","name":"Body System","status":"ready","contacts":[{"contact_name":"Samson Tu","contact_email":"swt@stanford.edu","contact_orcid":"0000-0002-0295-7821"}],"homepage":"http://bioportal.bioontology.org/ontologies/1487","identifier":196,"description":"This is a set of body-system terms used in the ICD 11 revision","abbreviation":"Body System"},"legacy_ids":["bsg-002662","bsg-s002662"],"name":"FAIRsharing record for: Body System","abbreviation":"Body System","url":"https://fairsharing.org/10.25504/FAIRsharing.x6sgd3","doi":"10.25504/FAIRsharing.x6sgd3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a set of body-system terms used in the ICD 11 revision","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5256,"fairsharing_record_id":196,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:20.558Z","updated_at":"2021-09-30T09:27:20.558Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"197","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:33:46.858Z","metadata":{"doi":"10.25504/FAIRsharing.rxazmf","name":"Neomark Oral Cancer-Centred Ontology","status":"uncertain","contacts":[{"contact_name":"Marta Ortega","contact_email":"mortega@lst.tfo.upm.es"}],"homepage":"http://purl.bioontology.org/ontology/NEOMARK3","identifier":197,"description":"An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","abbreviation":"NEOMARK3","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NEOMARK3","name":"NEOMARK3","portal":"BioPortal"}]},"legacy_ids":["bsg-002668","bsg-s002668"],"name":"FAIRsharing record for: Neomark Oral Cancer-Centred Ontology","abbreviation":"NEOMARK3","url":"https://fairsharing.org/10.25504/FAIRsharing.rxazmf","doi":"10.25504/FAIRsharing.rxazmf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Medicine","Biomedical Science"],"domains":["Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[],"grants":[{"id":11502,"fairsharing_record_id":197,"organisation_id":2115,"relation":"maintains","created_at":"2024-03-21T10:28:35.565Z","updated_at":"2024-03-21T10:28:35.565Z","grant_id":null,"is_lead":true,"saved_state":{"id":2115,"name":"NeoMark Ltd. Trademark Agency, Montreal, Canada","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"264","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T09:18:38.000Z","updated_at":"2021-11-24T13:17:11.459Z","metadata":{"doi":"10.25504/FAIRsharing.em3cg0","name":"Data required for the assignation of Digital Object Identifiers in the Global Information System","status":"ready","contacts":[{"contact_name":"Marco Marsella","contact_email":"pgrfa-treaty@fao.org","contact_orcid":"0000-0003-0334-8785"}],"homepage":"http://www.fao.org/plant-treaty/areas-of-work/global-information-system/descriptors/en/","identifier":264,"description":"The GLIS Descriptors are based on the FAO/IPGRI Multi Crop Passport Descriptors. They are the metadata information associated to a Digital Object Identifier (DOI) in the GLIS system; they divided into 3 classes: mandatory, highly recommended and additional.","abbreviation":"GLIS Descriptors","support_links":[{"url":"porta-treaty@fao.org","name":"ITPGRFA email address","type":"Support email"},{"url":"http://www.fao.org/plant-treaty/areas-of-work/global-information-system/faq/en/","name":"FAQs on GLIS and its descriptors","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.fao.org/3/a-bt113e.pdf","name":"Guideline Document (pdf)","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001161","bsg-s001161"],"name":"FAIRsharing record for: Data required for the assignation of Digital Object Identifiers in the Global Information System","abbreviation":"GLIS Descriptors","url":"https://fairsharing.org/10.25504/FAIRsharing.em3cg0","doi":"10.25504/FAIRsharing.em3cg0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GLIS Descriptors are based on the FAO/IPGRI Multi Crop Passport Descriptors. They are the metadata information associated to a Digital Object Identifier (DOI) in the GLIS system; they divided into 3 classes: mandatory, highly recommended and additional.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany","Agriculture","Biology","Plant Genetics"],"domains":["Agricultural products"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"FAO Open Access Policy","licence_id":312,"licence_url":"http://www.fao.org/3/I9461EN/I9461en.pdf","link_id":364,"relation":"undefined"}],"grants":[{"id":5400,"fairsharing_record_id":264,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:27:26.035Z","updated_at":"2021-09-30T09:27:26.035Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"265","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-01-06T09:09:04.790Z","metadata":{"doi":"10.25504/FAIRsharing.ttprgy","name":"Epilepsy and Seizure Ontology","status":"ready","contacts":[{"contact_name":"Satya Sahoo","contact_email":"satyasahoo@ieee.org"}],"homepage":"https://bioportal.bioontology.org/ontologies/EPSO","citations":[],"identifier":265,"description":"The Epilepsy and Seizure Ontology (EpSO) is an application ontology developed to support epilepsy focused informatics tools for patient care and clinical research. ","abbreviation":"EPSO","support_links":[],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EPSO","name":"EPSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000963","bsg-s000963"],"name":"FAIRsharing record for: Epilepsy and Seizure Ontology","abbreviation":"EPSO","url":"https://fairsharing.org/10.25504/FAIRsharing.ttprgy","doi":"10.25504/FAIRsharing.ttprgy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epilepsy and Seizure Ontology (EpSO) is an application ontology developed to support epilepsy focused informatics tools for patient care and clinical research. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurology"],"domains":["Epilepsy","Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3174,"pubmed_id":null,"title":"Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care","year":2013,"url":"http://dx.doi.org/10.1136/amiajnl-2013-001696","authors":"Sahoo, Satya S; Lhatoo, Samden D; Gupta, Deepak K; Cui, Licong; Zhao, Meng; Jayapandian, Catherine; Bozorgi, Alireza; Zhang, Guo-Qiang; ","journal":"J Am Med Inform Assoc","doi":"10.1136/amiajnl-2013-001696","created_at":"2022-01-05T20:26:50.535Z","updated_at":"2022-01-05T20:26:50.535Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2551,"relation":"applies_to_content"}],"grants":[{"id":8671,"fairsharing_record_id":265,"organisation_id":379,"relation":"maintains","created_at":"2022-01-05T20:27:09.477Z","updated_at":"2022-01-05T20:27:11.349Z","grant_id":null,"is_lead":true,"saved_state":{"id":379,"name":"Case Western Reserve University, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"267","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:04:42.000Z","updated_at":"2022-12-14T08:23:18.679Z","metadata":{"doi":"10.25504/FAIRsharing.c6JaLH","name":"IVOA Credential Delegation Protocol","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/CredentialDelegation/","citations":[{"publication_id":2952}],"identifier":267,"description":"The credential delegation protocol allows a client program to delegate a user's credentials to a service such that that service may make requests of other services in the name of that user. The protocol defines a REST service that works alongside other IVO services to enable such a delegation in a secure manner. In addition to defining the specifics of the service protocol, this document describes how a delegation service is registered in an IVOA registry along with the services it supports. The specification also explains how one can determine from a service registration that it requires the use of a supporting delegation service.","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/Documents/CredentialDelegation/20100218/REC-CredentialDelegation-1.0.html","name":"View Standard","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-001192","bsg-s001192"],"name":"FAIRsharing record for: IVOA Credential Delegation Protocol","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.c6JaLH","doi":"10.25504/FAIRsharing.c6JaLH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The credential delegation protocol allows a client program to delegate a user's credentials to a service such that that service may make requests of other services in the name of that user. The protocol defines a REST service that works alongside other IVO services to enable such a delegation in a secure manner. In addition to defining the specifics of the service protocol, this document describes how a delegation service is registered in an IVOA registry along with the services it supports. The specification also explains how one can determine from a service registration that it requires the use of a supporting delegation service.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11480}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2952,"pubmed_id":null,"title":"IVOA Credential Delegation Protocol Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.0218P","authors":"Plante, Raymond; Graham, Matthew; Rixon, Guy; Taffoni, Giuliano","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.816Z","updated_at":"2021-09-30T08:28:03.816Z"}],"licence_links":[],"grants":[{"id":5402,"fairsharing_record_id":267,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:27:26.087Z","updated_at":"2021-09-30T09:27:26.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5401,"fairsharing_record_id":267,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:26.064Z","updated_at":"2021-09-30T09:27:26.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"268","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:18.005Z","metadata":{"doi":"10.25504/FAIRsharing.7hxvhz","name":"Drug Interaction Knowledge Base Evidence Ontology","status":"deprecated","contacts":[{"contact_name":"Richard D Boyce","contact_email":"rdb20@pitt.edu"}],"homepage":"https://dikb.org/","identifier":268,"description":"An evidence taxonomy for pharmacologic studies that, when combined with a set of inclusion criteria, enable drug experts to specify what their confidence in a drug mechanism assertion would be if it were supported by a specific set of evidence.","abbreviation":"DIKB-Evidence","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DIKB","name":"DIKB","portal":"BioPortal"}],"deprecation_date":"2019-09-09","deprecation_reason":"This resource is deprecated and no longer maintained."},"legacy_ids":["bsg-002758","bsg-s002758"],"name":"FAIRsharing record for: Drug Interaction Knowledge Base Evidence Ontology","abbreviation":"DIKB-Evidence","url":"https://fairsharing.org/10.25504/FAIRsharing.7hxvhz","doi":"10.25504/FAIRsharing.7hxvhz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An evidence taxonomy for pharmacologic studies that, when combined with a set of inclusion criteria, enable drug experts to specify what their confidence in a drug mechanism assertion would be if it were supported by a specific set of evidence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Evidence","Drug interaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":908,"pubmed_id":19435613,"title":"Computing with evidence Part I: A drug-mechanism evidence taxonomy oriented toward confidence assignment.","year":2009,"url":"http://doi.org/10.1016/j.jbi.2009.05.001","authors":"Boyce R,Collins C,Horn J,Kalet I","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2009.05.001","created_at":"2021-09-30T08:24:00.294Z","updated_at":"2021-09-30T08:24:00.294Z"},{"id":1790,"pubmed_id":25917055,"title":"Toward a complete dataset of drug-drug interaction information from publicly available sources.","year":2015,"url":"http://doi.org/10.1016/j.jbi.2015.04.006","authors":"Ayvaz S,Horn J,Hassanzadeh O,Zhu Q,Stan J,Tatonetti NP,Vilar S,Brochhausen M,Samwald M,Rastegar-Mojarad M,Dumontier M,Boyce RD","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2015.04.006","created_at":"2021-09-30T08:25:40.905Z","updated_at":"2021-09-30T08:25:40.905Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":492,"relation":"undefined"}],"grants":[{"id":5403,"fairsharing_record_id":268,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:27:26.118Z","updated_at":"2021-09-30T09:27:26.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5405,"fairsharing_record_id":268,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:26.202Z","updated_at":"2021-09-30T09:27:26.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5404,"fairsharing_record_id":268,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:26.156Z","updated_at":"2021-09-30T09:32:02.693Z","grant_id":1443,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1R01LM011838-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"269","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:18.066Z","metadata":{"doi":"10.25504/FAIRsharing.rab28f","name":"Skin Physiology Ontology","status":"uncertain","contacts":[{"contact_name":"Tariq Abdulla","contact_email":"tariq.abdulla@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1122","identifier":269,"description":"The Skin Physiology Ontology is an ontology with 339 terms. We have struggled to find any further information about this ontology. If you know more, please do contact the FAIRsharing team.","abbreviation":"SPO","year_creation":2008},"legacy_ids":["bsg-002616","bsg-s002616"],"name":"FAIRsharing record for: Skin Physiology Ontology","abbreviation":"SPO","url":"https://fairsharing.org/10.25504/FAIRsharing.rab28f","doi":"10.25504/FAIRsharing.rab28f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Skin Physiology Ontology is an ontology with 339 terms. We have struggled to find any further information about this ontology. If you know more, please do contact the FAIRsharing team.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Dermatology","Life Science","Physiology","Biomedical Science"],"domains":["Biological process"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5406,"fairsharing_record_id":269,"organisation_id":1729,"relation":"maintains","created_at":"2021-09-30T09:27:26.245Z","updated_at":"2021-09-30T09:27:26.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":1729,"name":"Loughborough University, Loughborough, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"270","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:41.000Z","updated_at":"2022-07-20T12:47:44.896Z","metadata":{"doi":"10.25504/FAIRsharing.l8fVBn","name":"FAIR Maturity Indicator Gen2-MI-I1B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I1B.md","identifier":270,"description":"The FAIR Maturity Indicator Gen2-MI-I1B measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a strict interpretation, accepting only formats that are ontologically-grounded and machine-resolvable.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001379","bsg-s001379"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I1B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.l8fVBn","doi":"10.25504/FAIRsharing.l8fVBn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I1B measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a strict interpretation, accepting only formats that are ontologically-grounded and machine-resolvable.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13191},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13221},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13251},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13266},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20175}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1490,"relation":"undefined"}],"grants":[{"id":5410,"fairsharing_record_id":270,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:26.365Z","updated_at":"2021-09-30T09:27:26.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5407,"fairsharing_record_id":270,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:26.284Z","updated_at":"2021-09-30T09:27:26.284Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5408,"fairsharing_record_id":270,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:26.314Z","updated_at":"2021-09-30T09:27:26.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5409,"fairsharing_record_id":270,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:26.337Z","updated_at":"2021-09-30T09:27:26.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"271","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-07-20T09:39:22.355Z","metadata":{"doi":"10.25504/FAIRsharing.3x8jd5","name":"Radiation Oncology Ontology","status":"ready","contacts":[{"contact_name":"Andre Dekker","contact_email":"andre.dekker@maastro.nl"}],"homepage":"https://www.cancerdata.org/roo-information","citations":[{"doi":"10.1002/mp.12879","pubmed_id":30144092,"publication_id":2716}],"identifier":271,"description":"The Radiation Oncology Ontology (ROO) aims to cover the radiation oncology domain with a strong focus on re-using existing ontologies. ROO models terms including: uniform and non-uniform margins; ROI target volumes and organs-at-risk; dose-volume histogram parameters (Dx, Vx, MLD, etc.); and on-line / off-line setup protocols. ROO represents clinical data (and their relationships) in the radiation oncology domain following FAIR principles.","abbreviation":"ROO","support_links":[{"url":"https://www.cancerdata.org/system/files/file_attach/ROO-WhitePaper.pdf","name":"ROO White Paper (PDF)","type":"Help documentation"},{"url":"https://github.com/RadiationOncologyOntology/ROO","name":"GitHub Repository","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ROO","name":"ROO","portal":"BioPortal"}]},"legacy_ids":["bsg-000806","bsg-s000806"],"name":"FAIRsharing record for: Radiation Oncology Ontology","abbreviation":"ROO","url":"https://fairsharing.org/10.25504/FAIRsharing.3x8jd5","doi":"10.25504/FAIRsharing.3x8jd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Radiation Oncology Ontology (ROO) aims to cover the radiation oncology domain with a strong focus on re-using existing ontologies. ROO models terms including: uniform and non-uniform margins; ROI target volumes and organs-at-risk; dose-volume histogram parameters (Dx, Vx, MLD, etc.); and on-line / off-line setup protocols. ROO represents clinical data (and their relationships) in the radiation oncology domain following FAIR principles.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16984}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Health Science","Biomedical Science"],"domains":["Cancer","Radiotherapy"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":2716,"pubmed_id":30144092,"title":"The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques.","year":2018,"url":"http://doi.org/10.1002/mp.12879","authors":"Traverso A,van Soest J,Wee L,Dekker A","journal":"Med Phys","doi":"10.1002/mp.12879","created_at":"2021-09-30T08:27:33.520Z","updated_at":"2021-09-30T08:27:33.520Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":1735,"relation":"undefined"}],"grants":[{"id":5411,"fairsharing_record_id":271,"organisation_id":1740,"relation":"maintains","created_at":"2021-09-30T09:27:26.397Z","updated_at":"2021-09-30T09:27:26.397Z","grant_id":null,"is_lead":true,"saved_state":{"id":1740,"name":"MAASTRO Clinic, Maastricht, The Netherlands","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"272","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-22T21:04:42.793Z","metadata":{"doi":"10.25504/FAIRsharing.a5e1jd","name":"Enzyme Mechanism Ontology","status":"uncertain","contacts":[{"contact_name":"Gemma Holliday","contact_email":"gemma.l.holliday@gmail.com","contact_orcid":"0000-0002-6731-6398"}],"homepage":"http://bioportal.bioontology.org/ontologies/EMO","identifier":272,"description":"The \"Enzyme Mechanism Ontology \" describes the components of an enzyme and its reaction mechanism including the roles that the components play in the reaction mechanism.","abbreviation":"EMO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EMO","name":"EMO","portal":"BioPortal"}]},"legacy_ids":["bsg-000276","bsg-s000276"],"name":"FAIRsharing record for: Enzyme Mechanism Ontology","abbreviation":"EMO","url":"https://fairsharing.org/10.25504/FAIRsharing.a5e1jd","doi":"10.25504/FAIRsharing.a5e1jd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The \"Enzyme Mechanism Ontology \" describes the components of an enzyme and its reaction mechanism including the roles that the components play in the reaction mechanism.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11182},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12093}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":9255,"fairsharing_record_id":272,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.697Z","updated_at":"2022-04-11T12:07:25.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"273","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-03-23T14:17:08.532Z","metadata":{"doi":"10.25504/FAIRsharing.jt4pzr","name":"Sample Processing and Separation Techniques Ontology","status":"deprecated","contacts":[{"contact_name":"SEP developers","contact_email":"psidev-gps-dev@lists.sourceforge.net"}],"homepage":"http://psidev.info/index.php?q=node/312","citations":[],"identifier":273,"description":"A structured controlled vocabulary for the annotation of sample processing and separation techniques in scientific experiments, such as, and including, gel electrophoresis, column chromatography, capillary electrophoresis, centrifugation and so on. Developed jointly by the HUPO Proteomics Standards Initiative and The Metabolomics Standards Initiative.","abbreviation":"SEP","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SEP","name":"SEP","portal":"BioPortal"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-001006","bsg-s001006"],"name":"FAIRsharing record for: Sample Processing and Separation Techniques Ontology","abbreviation":"SEP","url":"https://fairsharing.org/10.25504/FAIRsharing.jt4pzr","doi":"10.25504/FAIRsharing.jt4pzr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the annotation of sample processing and separation techniques in scientific experiments, such as, and including, gel electrophoresis, column chromatography, capillary electrophoresis, centrifugation and so on. Developed jointly by the HUPO Proteomics Standards Initiative and The Metabolomics Standards Initiative.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Chromatography","Electrophoresis"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"274","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T10:34:23.962Z","metadata":{"doi":"10.25504/FAIRsharing.xhpn6z","name":"Botryllus schlosseri anatomy and development ontology","status":"ready","contacts":[{"contact_name":"Delphine DAUGA","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"http://bioportal.bioontology.org/ontologies/BSAO","citations":[],"identifier":274,"description":"The Botryllus schlosseri Ontology of Development and Anatomy (BODA) is the first ontology describing the anatomy and the development of Botryllus schlosseri. It is based on studies that investigate the anatomy, blastogenesis and regeneration of this organism. BODA features allow the users to easily search and identify anatomical structures in the colony, to define the developmental stage, and to follow the morphogenetic events of a tissue and/or organ of interest throughout asexual development.","abbreviation":"BSAO","support_links":[{"url":"contact@aniseed.cnrs.fr","type":"Support email"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BSAO","name":"BSAO","portal":"BioPortal"}]},"legacy_ids":["bsg-000971","bsg-s000971"],"name":"FAIRsharing record for: Botryllus schlosseri anatomy and development ontology","abbreviation":"BSAO","url":"https://fairsharing.org/10.25504/FAIRsharing.xhpn6z","doi":"10.25504/FAIRsharing.xhpn6z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Botryllus schlosseri Ontology of Development and Anatomy (BODA) is the first ontology describing the anatomy and the development of Botryllus schlosseri. It is based on studies that investigate the anatomy, blastogenesis and regeneration of this organism. BODA features allow the users to easily search and identify anatomical structures in the colony, to define the developmental stage, and to follow the morphogenetic events of a tissue and/or organ of interest throughout asexual development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Botryllus schlosseri"],"user_defined_tags":["Asexual reproduction","Morphogenesis"],"countries":["France","Italy","Japan","United States"],"publications":[{"id":2228,"pubmed_id":24789338,"title":"Ontology for the asexual development and anatomy of the colonial chordate Botryllus schlosseri.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0096434","authors":"Manni L,Gasparini F,Hotta K,Ishizuka KJ,Ricci L,Tiozzo S,Voskoboynik A,Dauga D","journal":"PLoS One","doi":"10.1371/journal.pone.0096434","created_at":"2021-09-30T08:26:31.019Z","updated_at":"2021-09-30T08:26:31.019Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":163,"relation":"undefined"}],"grants":[{"id":5413,"fairsharing_record_id":274,"organisation_id":275,"relation":"maintains","created_at":"2021-09-30T09:27:26.463Z","updated_at":"2021-09-30T09:27:26.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":275,"name":"Bioself Communication, Cannes, France","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5414,"fairsharing_record_id":274,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:27:26.487Z","updated_at":"2021-09-30T09:27:26.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"259","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T14:40:50.877Z","metadata":{"doi":"10.25504/FAIRsharing.kr3215","name":"Access to Biological Collection Data","status":"ready","contacts":[{"contact_name":"Patricia Mergen","contact_email":"secretary@tdwg.org","contact_orcid":"0000-0003-2848-8231"}],"homepage":"http://www.tdwg.org/standards/115/","citations":[],"identifier":259,"description":"The Access to Biological Collections Data (ABCD) Schema is a standard for the access to and exchange of data about primary biodiversity data. It is compatible with several existing data standards and supports several datasets. It is implemented in XML and OWL.","abbreviation":"ABCD","support_links":[{"url":"https://github.com/tdwg/abcd/issues","name":"Issue Tracker","type":"Github"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","name":"TDWG Technical Architecture Group Discussions","type":"Mailing list"},{"url":"https://wiki.bgbm.org/bps/index.php/CommonABCD2Concepts","name":"CommonABCD2Concepts","type":"Help documentation"},{"url":"https://wiki.bgbm.org/bps/index.php/SampleABCDDocument","name":"SampleABCDDocument","type":"Help documentation"},{"url":"https://abcd.tdwg.org/","name":"ABCD Documentation Home","type":"Help documentation"},{"url":"https://abcd.tdwg.org/ontology/documentation/primer/","name":"Ontology Primer","type":"Help documentation"},{"url":"https://abcd.tdwg.org/xml/","name":"XML Overview","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-000197","bsg-s000197"],"name":"FAIRsharing record for: Access to Biological Collection Data","abbreviation":"ABCD","url":"https://fairsharing.org/10.25504/FAIRsharing.kr3215","doi":"10.25504/FAIRsharing.kr3215","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Access to Biological Collections Data (ABCD) Schema is a standard for the access to and exchange of data about primary biodiversity data. It is compatible with several existing data standards and supports several datasets. It is implemented in XML and OWL.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12273},{"linking_record_name":"Biological Collection Access Service","linking_record_id":4209,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14916}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Observations","Structured data"],"countries":["Worldwide"],"publications":[{"id":2792,"pubmed_id":null,"title":"The ABCD of primary biodiversity data access","year":2012,"url":"https://www.tandfonline.com/doi/full/10.1080/11263504.2012.740085?scroll=top\u0026needAccess=true","authors":"J. Holetschek, G. Dröge, A. Güntsch, W. G. Berendsohn","journal":"Plant Biosystems","doi":null,"created_at":"2021-09-30T08:27:43.315Z","updated_at":"2021-09-30T08:27:43.315Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3522,"relation":"applies_to_content"}],"grants":[{"id":5390,"fairsharing_record_id":259,"organisation_id":19,"relation":"maintains","created_at":"2021-09-30T09:27:25.703Z","updated_at":"2021-09-30T09:27:25.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":19,"name":"Access to Biological Collections Data (ABCD) task group, Taxonomic Databases Working Group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBczBEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--12af8bd57badb4a47e9620ec85f39e49a7fd7160/Screenshot%20from%202024-03-05%2013-51-53.png?disposition=inline","exhaustive_licences":true}},{"id":"260","type":"fairsharing_records","attributes":{"created_at":"2016-06-14T22:18:01.000Z","updated_at":"2023-03-09T18:50:31.759Z","metadata":{"doi":"10.25504/FAIRsharing.2fbnkr","name":"Minimum Information About Particle Tracking Experiments","status":"in_development","contacts":[{"contact_name":"Caterina Strambio De Castillia","contact_email":"caterina.stramnio@umassmed.edu","contact_orcid":"0000-0002-1069-1816"}],"homepage":"https://github.com/OmegaProject/MIAPTE","citations":[],"identifier":260,"description":"The proposed Minimum Information About Particle Tracking Experiments (MIAPTE) reporting guidelines described here aims to deliver a set of rules representing the minimal information required to report and support interpretation and assessment of data arising from intracellular multiple particle tracking (MPT) experiments. Examples of such experiments are those tracking viral particles as they move from the site of entry to the site of replication within an infected cell, or those following vesicular dynamics during secretion, endocytosis, or exocytosis. By promoting development of community standards, MIAPTE will contribute to making MPT data FAIR (Findable Accessible Interoperable and Reusable). Ultimately, the goal of MIAPTE is to promote and maximize data access, discovery, preservation, re-use, and re-purposing through efficient annotation, and ultimately to enable reproducibility of particle tracking experiments. The MIAPTE guidelines are intended for different categories of users: 1) Scientists with the desire to make new results available in a way that can be interpreted unequivocally by both humans and machines. For this class of users, MIAPTE provides data descriptors to define data entry terms and the analysis workflow in a unified manner. 2) Scientists wishing to evaluate, replicate and re-analyze results published by others. For this class of users MIAPTE provides descriptors that define the analysis procedures in a manner that facilitates its reproduction. 3) Developers who want to take advantage of the schema of MIAPTE to produce MIAPTE compatible tools. MIAPTE consists of a list of controlled vocabulary (CV) terms that describe elements and properties for the minimal description of particle tracking experiments, with a focus on viral and vesicular traffic within cells. As part of this submission we provide entity relationship (ER) diagrams that show the relationship between terms. Finally, we also provide documents containing the MIAPTE-compliant XML schema describing the data model used by Open Microscopy Environment inteGrated Analysis (OMEGA), our novel particle tracking data analysis and management tool, which is reported in a separate manuscript. MIAPTE is structured in two sub-sections: 1) Section 1 contains elements, attributes and data structures describing the results of particle tracking, namely: particles, links, segments and trajectories. 2) Section 2 contains details about the algorithmic procedure utilized to produce and analyze trajectories as well as the results of trajectory analysis. In addition MIAPTE includes those OME-XML elements that are required to capture the acquisition parameters and the structure of images to be subjected to particle tracking The current version of the model, MIAPTE v02, is intended to be a Request for Comments (Crocker and Postel, 2008). Members of the scientific and developer communities are invited to collaborate with us to modify, extend, and improve the model.","abbreviation":"MIAPTE","support_links":[{"url":"http://big.umassmed.edu/omegaweb/resources/miapte/","name":"MIAPTE page on the OMEGA project website","type":"Help documentation"},{"url":"https://github.com/OmegaProject/MIAPTE/blob/master/2017-07-12_v02/2017-07-12_MIAPTE_v02_Section_1_Trajectories_ER_diagram.png","name":"Entity Relationship schema describing the Section 1 (Trajectory Elements) of MIAPTE","type":"Github"},{"url":"https://github.com/OmegaProject/MIAPTE/blob/master/2017-07-12_v02/2017-07-12_MIAPTE_v02_Section_2_Analysis_ER_diagram.png","name":"Entity Relationship schema describing the Section 2 (Analysis Elements) of MIAPTE","type":"Github"},{"url":"https://github.com/OmegaProject/MIAPTE/blob/master/2017-07-12_v02/2017-07-12_MIAPTE_Guidelines_v02.xlsx","name":"Glossary of MIAPTE guidelines","type":"Github"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/OmegaProject","name":"Open Miscroscopy Environment inteGrated Analysis (OMEGA) beta v034"}]},"legacy_ids":["bsg-000671","bsg-s000671"],"name":"FAIRsharing record for: Minimum Information About Particle Tracking Experiments","abbreviation":"MIAPTE","url":"https://fairsharing.org/10.25504/FAIRsharing.2fbnkr","doi":"10.25504/FAIRsharing.2fbnkr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The proposed Minimum Information About Particle Tracking Experiments (MIAPTE) reporting guidelines described here aims to deliver a set of rules representing the minimal information required to report and support interpretation and assessment of data arising from intracellular multiple particle tracking (MPT) experiments. Examples of such experiments are those tracking viral particles as they move from the site of entry to the site of replication within an infected cell, or those following vesicular dynamics during secretion, endocytosis, or exocytosis. By promoting development of community standards, MIAPTE will contribute to making MPT data FAIR (Findable Accessible Interoperable and Reusable). Ultimately, the goal of MIAPTE is to promote and maximize data access, discovery, preservation, re-use, and re-purposing through efficient annotation, and ultimately to enable reproducibility of particle tracking experiments. The MIAPTE guidelines are intended for different categories of users: 1) Scientists with the desire to make new results available in a way that can be interpreted unequivocally by both humans and machines. For this class of users, MIAPTE provides data descriptors to define data entry terms and the analysis workflow in a unified manner. 2) Scientists wishing to evaluate, replicate and re-analyze results published by others. For this class of users MIAPTE provides descriptors that define the analysis procedures in a manner that facilitates its reproduction. 3) Developers who want to take advantage of the schema of MIAPTE to produce MIAPTE compatible tools. MIAPTE consists of a list of controlled vocabulary (CV) terms that describe elements and properties for the minimal description of particle tracking experiments, with a focus on viral and vesicular traffic within cells. As part of this submission we provide entity relationship (ER) diagrams that show the relationship between terms. Finally, we also provide documents containing the MIAPTE-compliant XML schema describing the data model used by Open Microscopy Environment inteGrated Analysis (OMEGA), our novel particle tracking data analysis and management tool, which is reported in a separate manuscript. MIAPTE is structured in two sub-sections: 1) Section 1 contains elements, attributes and data structures describing the results of particle tracking, namely: particles, links, segments and trajectories. 2) Section 2 contains details about the algorithmic procedure utilized to produce and analyze trajectories as well as the results of trajectory analysis. In addition MIAPTE includes those OME-XML elements that are required to capture the acquisition parameters and the structure of images to be subjected to particle tracking The current version of the model, MIAPTE v02, is intended to be a Request for Comments (Crocker and Postel, 2008). Members of the scientific and developer communities are invited to collaborate with us to modify, extend, and improve the model.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Bioinformatics","Life Science","Cell Biology"],"domains":["Cell","Microscopy","Cellular assay","Imaging","Image","Fluorescence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United States"],"publications":[{"id":2303,"pubmed_id":null,"title":"Proposal for minimum information guidelines to report and reproduce results of particle tracking and motion analysis","year":2017,"url":"http://doi.org/10.1101/155036","authors":"Alessandro Rigano and Caterina Strambio De Castillia","journal":"BioRxiv","doi":"10.1101/155036","created_at":"2021-09-30T08:26:42.291Z","updated_at":"2021-09-30T11:28:40.112Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1082,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1083,"relation":"undefined"}],"grants":[{"id":5391,"fairsharing_record_id":260,"organisation_id":3089,"relation":"maintains","created_at":"2021-09-30T09:27:25.734Z","updated_at":"2021-09-30T09:27:25.734Z","grant_id":null,"is_lead":false,"saved_state":{"id":3089,"name":"University of Massachusetts Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5393,"fairsharing_record_id":260,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:27:25.818Z","updated_at":"2021-09-30T09:27:25.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5392,"fairsharing_record_id":260,"organisation_id":2366,"relation":"funds","created_at":"2021-09-30T09:27:25.776Z","updated_at":"2021-09-30T09:27:25.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":2366,"name":"Program in Molecular Medicine, University of Massachusetts Medical School","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"256","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-11-17T08:07:42.659Z","metadata":{"doi":"10.25504/FAIRsharing.5dnjs2","name":"The Data Use Ontology","status":"ready","contacts":[{"contact_name":"Me´lanie Courtot","contact_email":"mcourtot@gmail.com"}],"homepage":"https://raw.githubusercontent.com/EBISPOT/DUO/master/duo.owl","citations":[],"identifier":256,"description":"The Data Use Ontology (DUO) describes data use requirements and limitations. DUO allows to semantically tag datasets with restriction about their usage, making them discoverable automatically based on the authorization level of users, or intended usage. This resource is based on the OBO Foundry principles, and developed using the W3C Web Ontology Language. It is used in production by the European Genome-phenome Archive (EGA) at EMBL-EBI and CRG as well as the Broad Institute for the Data Use Oversight System (DUOS).","abbreviation":"DUO","support_links":[{"url":"https://github.com/EBISPOT/DUO","name":"DUO on GitHub","type":"Github"},{"url":"https://github.com/EBISPOT/duo/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://doi.org/10.5281/zenodo.4662066","name":"Ontology Development Kit"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DUO","name":"DUO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/duo.html","name":"duo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000962","bsg-s000962"],"name":"FAIRsharing record for: The Data Use Ontology","abbreviation":"DUO","url":"https://fairsharing.org/10.25504/FAIRsharing.5dnjs2","doi":"10.25504/FAIRsharing.5dnjs2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Use Ontology (DUO) describes data use requirements and limitations. DUO allows to semantically tag datasets with restriction about their usage, making them discoverable automatically based on the authorization level of users, or intended usage. This resource is based on the OBO Foundry principles, and developed using the W3C Web Ontology Language. It is used in production by the European Genome-phenome Archive (EGA) at EMBL-EBI and CRG as well as the Broad Institute for the Data Use Oversight System (DUOS).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18277},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16952}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Spain","United Kingdom","United States"],"publications":[{"id":3643,"pubmed_id":null,"title":"The Data Use Ontology to streamline responsible access to human biomedical datasets","year":2021,"url":"http://dx.doi.org/10.1016/j.xgen.2021.100028","authors":"Lawson, Jonathan; Cabili, Moran N.; Kerry, Giselle; Boughtwood, Tiffany; Thorogood, Adrian; Alper, Pinar; Bowers, Sarion R.; Boyles, Rebecca R.; Brookes, Anthony J.; Brush, Matthew; Burdett, Tony; Clissold, Hayley; Donnelly, Stacey; Dyke, Stephanie O.M.; Freeberg, Mallory A.; Haendel, Melissa A.; Hata, Chihiro; Holub, Petr; Jeanson, Francis; Jene, Aina; Kawashima, Minae; Kawashima, Shuichi; Konopko, Melissa; Kyomugisha, Irene; Li, Haoyuan; Linden, Mikael; Rodriguez, Laura Lyman; Morita, Mizuki; Mulder, Nicola; Muller, Jean; Nagaie, Satoshi; Nasir, Jamal; Ogishima, Soichi; Ota Wang, Vivian; Paglione, Laura D.; Pandya, Ravi N.; Parkinson, Helen; Philippakis, Anthony A.; Prasser, Fabian; Rambla, Jordi; Reinold, Kathy; Rushton, Gregory A.; Saltzman, Andrea; Saunders, Gary; Sofia, Heidi J.; Spalding, John D.; Swertz, Morris A.; Tulchinsky, Ilia; van Enckevort, Esther J.; Varma, Susheel; Voisin, Craig; Yamamoto, Natsuko; Yamasaki, Chisato; Zass, Lyndon; Guidry Auvil, Jaime M.; Nyrönen, Tommi H.; Courtot, Mélanie; ","journal":"Cell Genomics","doi":"10.1016/j.xgen.2021.100028","created_at":"2022-10-25T20:32:31.810Z","updated_at":"2022-10-25T20:32:31.810Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1736,"relation":"undefined"}],"grants":[{"id":5388,"fairsharing_record_id":256,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:25.653Z","updated_at":"2021-09-30T09:27:25.653Z","grant_id":null,"is_lead":true,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5386,"fairsharing_record_id":256,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:25.605Z","updated_at":"2021-09-30T09:30:45.107Z","grant_id":852,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"201535/Z/16Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5387,"fairsharing_record_id":256,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:25.628Z","updated_at":"2021-09-30T09:30:34.990Z","grant_id":775,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U01HG009454-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdmdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9a42083efa91d79ee5c7ed8e7868db0f7faf0b76/DUO_logo_white_background.png?disposition=inline","exhaustive_licences":false}},{"id":"257","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-26T08:45:37.199Z","metadata":{"doi":"10.25504/FAIRsharing.b8233y","name":"Darwin Core translations","status":"ready","contacts":[{"contact_name":"John Wieczorek","contact_email":"gtuco.btuco@gmail.com","contact_orcid":"0000-0003-1144-0290"}],"homepage":"https://tdwg.github.io/rs.tdwg.org/","citations":[],"identifier":257,"description":"The Darwin Core is meant to serve a global community. Access to the documents describing the standard in multiple languages will facilitate open access and global adoption. This resource is meant to be an index to all translations of Darwin Core documents. Anyone interested in providing translations to be hosted with the corpus of the standard should contact the Darwin Core Task Group.","abbreviation":"DwC_translations","year_creation":2009},"legacy_ids":["bsg-002821","bsg-s002821"],"name":"FAIRsharing record for: Darwin Core translations","abbreviation":"DwC_translations","url":"https://fairsharing.org/10.25504/FAIRsharing.b8233y","doi":"10.25504/FAIRsharing.b8233y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Darwin Core is meant to serve a global community. Access to the documents describing the standard in multiple languages will facilitate open access and global adoption. This resource is meant to be an index to all translations of Darwin Core documents. Anyone interested in providing translations to be hosted with the corpus of the standard should contact the Darwin Core Task Group.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Data standards"],"countries":["United States"],"publications":[{"id":1522,"pubmed_id":22238640,"title":"Darwin Core: an evolving community-developed biodiversity data standard.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0029715","authors":"Wieczorek J,Bloom D,Guralnick R,Blum S,Doring M,Giovanni R,Robertson T,Vieglais D","journal":"PLoS One","doi":"10.1371/journal.pone.0029715","created_at":"2021-09-30T08:25:10.418Z","updated_at":"2021-09-30T08:25:10.418Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1260,"relation":"undefined"}],"grants":[{"id":9068,"fairsharing_record_id":257,"organisation_id":641,"relation":"maintains","created_at":"2022-03-30T09:38:52.505Z","updated_at":"2022-03-30T09:38:52.505Z","grant_id":null,"is_lead":true,"saved_state":{"id":641,"name":"Darwin Core Maintenance Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"258","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T11:38:51.379Z","metadata":{"doi":"10.25504/FAIRsharing.r30na3","name":"Biosurveillance Resource Directory Disease Ontology","status":"ready","contacts":[{"contact_name":"Ashlynn Daughton","contact_email":"adaughton@lanl.gov"},{"contact_name":"Alina Deshpande","contact_email":"deshpande_a@lanl.gov","contact_orcid":null}],"homepage":"http://brd.bsvgateway.org/disease","citations":[{"doi":"10.1371/journal.pone.0083730","pubmed_id":null,"publication_id":3159}],"identifier":258,"description":"Our disease ontology provides information on infectious diseases, disease synonyms, transmission pathways, disease agents, affected populations and disease properties. Diseases have been grouped into syndromic disease categories, such that programmers can look through relevant categories, as well as at specific diseases. Organisms, linked to both agents and populations, are structured hierarchically, to provide multiple levels of organism resolution. In addition, both disease transmission and relevant disease properties are available to search. Disease properties include tags like 'notifiable diseases' and 'economic importance' to flag particular disease characteristics that may be of interest, but are not captured elsewhere.","abbreviation":"BRD Disease Ontology","support_links":[{"url":"brd@lanl.gov","name":"BRD General Contact","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ABD","name":"ABD","portal":"BioPortal"}]},"legacy_ids":["bsg-000961","bsg-s000961"],"name":"FAIRsharing record for: Biosurveillance Resource Directory Disease Ontology","abbreviation":"BRD Disease Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.r30na3","doi":"10.25504/FAIRsharing.r30na3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Our disease ontology provides information on infectious diseases, disease synonyms, transmission pathways, disease agents, affected populations and disease properties. Diseases have been grouped into syndromic disease categories, such that programmers can look through relevant categories, as well as at specific diseases. Organisms, linked to both agents and populations, are structured hierarchically, to provide multiple levels of organism resolution. In addition, both disease transmission and relevant disease properties are available to search. Disease properties include tags like 'notifiable diseases' and 'economic importance' to flag particular disease characteristics that may be of interest, but are not captured elsewhere.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine"],"domains":["Disease course","Infectious disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3159,"pubmed_id":null,"title":"Advancing a Framework to Enable Characterization and Evaluation of Data Streams Useful for Biosurveillance","year":2014,"url":"http://dx.doi.org/10.1371/journal.pone.0083730","authors":"Margevicius, Kristen J.; Generous, Nicholas; Taylor-McCabe, Kirsten J.; Brown, Mac; Daniel, W. Brent; Castro, Lauren; Hengartner, Andrea; Deshpande, Alina; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0083730","created_at":"2021-12-14T19:21:50.946Z","updated_at":"2021-12-14T19:21:50.946Z"}],"licence_links":[{"licence_name":"Los Alamos National Laboratory Copyright","licence_id":894,"licence_url":"https://www.lanl.gov/resources/web-policies/copyright-legal.php","link_id":2538,"relation":"applies_to_content"}],"grants":[{"id":8647,"fairsharing_record_id":258,"organisation_id":1728,"relation":"maintains","created_at":"2021-12-14T19:21:00.516Z","updated_at":"2021-12-14T19:21:00.516Z","grant_id":null,"is_lead":true,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory (LANL), Los Alamos, NM, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"279","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T12:40:52.262Z","metadata":{"doi":"10.25504/FAIRsharing.y1mmbv","name":"Genomic Epidemiology Ontology","status":"ready","contacts":[{"contact_name":"Damion Dooley","contact_email":"damion.dooley@bccdc.ca"}],"homepage":"https://genepio.org/","identifier":279,"description":"The Genomic Epidemiology Ontology (GenEpiO) covers vocabulary necessary to identify, document and research food-borne pathogens, infectious disease surveillance and outbreak investigations. This includes descriptions of the genomics, laboratory, clinical and epidemiological contextual information required to support data sharing and integration for food-borne infectious disease surveillance and outbreak investigations.","abbreviation":"GenEpiO","support_links":[{"url":"info@genepio.org","name":"General Contact","type":"Support email"},{"url":"https://genepio.org/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://genepio.org/wp-content/uploads/2016/10/GenEpiOConsortiumSlideDeckSept2016.pdf","name":"About GenEpiO (Presentation)","type":"Help documentation"},{"url":"https://github.com/GenEpiO/genepio","name":"GitHub Project","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"http://www.obofoundry.org/ontology/genepio.html","name":"genepio","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000979","bsg-s000979"],"name":"FAIRsharing record for: Genomic Epidemiology Ontology","abbreviation":"GenEpiO","url":"https://fairsharing.org/10.25504/FAIRsharing.y1mmbv","doi":"10.25504/FAIRsharing.y1mmbv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic Epidemiology Ontology (GenEpiO) covers vocabulary necessary to identify, document and research food-borne pathogens, infectious disease surveillance and outbreak investigations. This includes descriptions of the genomics, laboratory, clinical and epidemiological contextual information required to support data sharing and integration for food-borne infectious disease surveillance and outbreak investigations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Epidemiology"],"domains":["Food","Pathogen","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":562,"relation":"undefined"}],"grants":[{"id":5415,"fairsharing_record_id":279,"organisation_id":1100,"relation":"maintains","created_at":"2021-09-30T09:27:26.518Z","updated_at":"2021-09-30T09:27:26.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":1100,"name":"GenEpiO Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"280","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:24.023Z","metadata":{"doi":"10.25504/FAIRsharing.zbff4z","name":"Gene Regulation Ontology","status":"deprecated","contacts":[{"contact_name":"Vivian Lee","contact_email":"vlee@ebi.ac.uk"}],"homepage":"http://purl.bioontology.org/ontology/GRO","identifier":280,"description":"The Gene Regulation Ontology (GRO) is a conceptual model for the domain of gene regulation. It covers processes that are linked to the regulation of gene expression as well as physical entities that are involved in these processes (such as genes and transcription factors) in terms of ontology classes and semantic relations between classes.","abbreviation":"GRO","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GRO","name":"GRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bootstrep.html","name":"bootstrep","portal":"OBO Foundry"}],"deprecation_date":"2016-04-05","deprecation_reason":"This resource has been marked as deprecated by the OBO Foundry, and no active homepage for it can be found."},"legacy_ids":["bsg-000088","bsg-s000088"],"name":"FAIRsharing record for: Gene Regulation Ontology","abbreviation":"GRO","url":"https://fairsharing.org/10.25504/FAIRsharing.zbff4z","doi":"10.25504/FAIRsharing.zbff4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene Regulation Ontology (GRO) is a conceptual model for the domain of gene regulation. It covers processes that are linked to the regulation of gene expression as well as physical entities that are involved in these processes (such as genes and transcription factors) in terms of ontology classes and semantic relations between classes.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11912}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Molecular entity","Regulation of gene expression","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":828,"pubmed_id":18487700,"title":"Gene Regulation Ontology (GRO): design principles and use cases.","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/18487700","authors":"Beisswanger E,Lee V,Kim JJ,Rebholz-Schuhmann D,Splendiani A,Dameron O,Schulz S,Hahn U","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:23:51.321Z","updated_at":"2021-09-30T08:23:51.321Z"}],"licence_links":[],"grants":[{"id":5417,"fairsharing_record_id":280,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:26.602Z","updated_at":"2021-09-30T09:27:26.602Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9230,"fairsharing_record_id":280,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.011Z","updated_at":"2022-04-11T12:07:24.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"281","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-03-30T13:17:34.716Z","metadata":{"doi":"10.25504/FAIRsharing.xj5egt","name":"BIBFRAME 2.0","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu"}],"homepage":"https://www.loc.gov/bibframe/","citations":[],"identifier":281,"description":"Initiated by the Library of Congress, BIBFRAME provides a foundation for the future of bibliographic description, both on the web, and in the broader networked world. This site presents general information about the project, including presentations, FAQs, and links to working documents. In addition to being a replacement for MARC, BIBFRAME serves as a general model for expressing and connecting bibliographic data. A major focus of the initiative will be to determine a transition path for the MARC 21 formats while preserving a robust data exchange that has supported resource sharing and cataloging cost savings in recent decades.","abbreviation":"BIBFRAME","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIBFRAME","name":"BIBFRAME","portal":"BioPortal"}]},"legacy_ids":["bsg-000975","bsg-s000975"],"name":"FAIRsharing record for: BIBFRAME 2.0","abbreviation":"BIBFRAME","url":"https://fairsharing.org/10.25504/FAIRsharing.xj5egt","doi":"10.25504/FAIRsharing.xj5egt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Initiated by the Library of Congress, BIBFRAME provides a foundation for the future of bibliographic description, both on the web, and in the broader networked world. This site presents general information about the project, including presentations, FAQs, and links to working documents. In addition to being a replacement for MARC, BIBFRAME serves as a general model for expressing and connecting bibliographic data. A major focus of the initiative will be to determine a transition path for the MARC 21 formats while preserving a robust data exchange that has supported resource sharing and cataloging cost savings in recent decades.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Citation","Bibliography"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10470,"fairsharing_record_id":281,"organisation_id":1712,"relation":"undefined","created_at":"2023-03-30T13:16:41.497Z","updated_at":"2023-03-30T13:16:41.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"262","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T09:31:05.796Z","metadata":{"doi":"10.25504/FAIRsharing.9aa0zp","name":"Minimum Information about any (x) Sequence","status":"ready","contacts":[{"contact_name":"Ramona Walls","contact_email":"rlwalls2008@gmail.com","contact_orcid":"0000-0001-8815-0078"},{"contact_name":"Chris Hunter","contact_email":"only1chunts@gmail.com","contact_orcid":null},{"contact_name":"Lynn Schriml","contact_email":"lynn.scrhiml@gmail.com","contact_orcid":null}],"homepage":"https://github.com/GenomicsStandardsConsortium/mixs","citations":[],"identifier":262,"description":"The minimum information about any (x) sequence (MIxS) is an overarching framework of standard metadata that includes sequence-type and technology specific checklists. MIxS a checklists are extended using environment or application specific Extensions.","abbreviation":"MIxS","support_links":[{"url":"https://github.com/GenomicsStandardsConsortium/mixs/issues","name":" MIxS Github issue tracker","type":"Github"},{"url":"https://w3id.org/mixs","name":"MIxS Checklists","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"https://isa-tools.org/format/configurations/index.html","name":"ISAcreator configurator tools"},{"url":"http://www.epicollect.net/","name":"EpiCollect"},{"url":"http://qiita.microbio.me/","name":"QIITA"},{"url":"http://rdp.cme.msu.edu/misc/googleSheetsHelp.jsp","name":"RDP MIMARKS Google Sheets"}],"cross_references":[{"url":"http://purl.obolibrary.org/obo/GENEPIO_0000003","name":"Genomic Epidemiology Ontology","portal":"OLS"}]},"legacy_ids":["bsg-000518","bsg-s000518"],"name":"FAIRsharing record for: Minimum Information about any (x) Sequence","abbreviation":"MIxS","url":"https://fairsharing.org/10.25504/FAIRsharing.9aa0zp","doi":"10.25504/FAIRsharing.9aa0zp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The minimum information about any (x) sequence (MIxS) is an overarching framework of standard metadata that includes sequence-type and technology specific checklists. MIxS a checklists are extended using environment or application specific Extensions.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18275},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11857},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12031},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13901}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genomics"],"domains":["Resource metadata","DNA sequence data","Deoxyribonucleic acid","Pathogen","Sequencing","Genetic marker","Metagenome","Genome"],"taxonomies":["All","Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["Germany","United Kingdom","United States"],"publications":[{"id":236,"pubmed_id":21552244,"title":"Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications","year":2011,"url":"http://doi.org/10.1038/nbt.1823","authors":"Yilmaz P, Kottmann R, Field D, Knight R, Cole JR et al.","journal":"Nature Biotechnology","doi":"10.1038/nbt.1823","created_at":"2021-09-30T08:22:45.482Z","updated_at":"2021-09-30T08:22:45.482Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 1.0 Generic (CC BY 1.0)","licence_id":156,"licence_url":"https://creativecommons.org/licenses/by/1.0/","link_id":3550,"relation":"applies_to_content"}],"grants":[{"id":5396,"fairsharing_record_id":262,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:27:25.921Z","updated_at":"2021-09-30T09:27:25.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5395,"fairsharing_record_id":262,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:25.893Z","updated_at":"2021-09-30T09:27:25.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5397,"fairsharing_record_id":262,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:25.946Z","updated_at":"2021-09-30T09:27:25.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5398,"fairsharing_record_id":262,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:25.973Z","updated_at":"2024-04-03T15:09:02.970Z","grant_id":null,"is_lead":true,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"263","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.565Z","metadata":{"doi":"10.25504/FAIRsharing.4qyf0f","name":"Regulation of Transcription Ontolology","status":"ready","contacts":[{"contact_name":"Vladimir Mironov","contact_email":"vladimir.n.mironov@gmail.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/RETO","identifier":263,"description":"An application ontology for the domain of gene transcription regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI and orthological properties from RO and SIO.","abbreviation":"ReTO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RETO","name":"RETO","portal":"BioPortal"}]},"legacy_ids":["bsg-002832","bsg-s002832"],"name":"FAIRsharing record for: Regulation of Transcription Ontolology","abbreviation":"ReTO","url":"https://fairsharing.org/10.25504/FAIRsharing.4qyf0f","doi":"10.25504/FAIRsharing.4qyf0f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of gene transcription regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI and orthological properties from RO and SIO.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12468}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Transcriptomics"],"domains":["Regulation of gene expression","Transcript"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[],"grants":[{"id":5399,"fairsharing_record_id":263,"organisation_id":2544,"relation":"maintains","created_at":"2021-09-30T09:27:26.005Z","updated_at":"2021-09-30T09:27:26.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":2544,"name":"Semantic Systems Biology Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"282","type":"fairsharing_records","attributes":{"created_at":"2017-10-05T14:29:24.000Z","updated_at":"2022-09-08T14:50:27.935Z","metadata":{"doi":"10.25504/FAIRsharing.2hqa97","name":"OmicsDI XML format","status":"ready","contacts":[{"contact_name":"Dr Yasset Perez-Riverol","contact_email":"yperez@ebi.ac.uk"}],"homepage":"https://github.com/OmicsDI/specifications/blob/master/docs/schema/OmicsDISchema.xsd","citations":[],"identifier":282,"description":"XML Schema definition for the OmicsDI XML format.","abbreviation":null,"support_links":[{"url":"omicsdi-support@ebi.ac.uk","name":"OmicsDI Support","type":"Support email"},{"url":"http://blog.omicsdi.org/post/omicsdi-spec/","name":"Blog post describing the OmicsDI schema","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/OmicsDI/xml-validator","name":"OmicsDI XML Validator"}]},"legacy_ids":["bsg-000722","bsg-s000722"],"name":"FAIRsharing record for: OmicsDI XML format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2hqa97","doi":"10.25504/FAIRsharing.2hqa97","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Schema definition for the OmicsDI XML format.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18274},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12448}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Proteomics","Metabolomics","Transcriptomics"],"domains":["Data identity and mapping"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","United Kingdom","United States","European Union"],"publications":[{"id":233,"pubmed_id":28486464,"title":"Discovering and linking public omics data sets using the Omics Discovery Index.","year":2017,"url":"http://doi.org/10.1038/nbt.3790","authors":"Perez-Riverol Y,Bai M,da Veiga Leprevost F,Squizzato S,Park YM,Haug K,Carroll AJ,Spalding D,Paschall J,Wang M,Del-Toro N,Ternent T,Zhang P,Buso N,Bandeira N,Deutsch EW,Campbell DS,Beavis RC,Salek RM,Sarkans U,Petryszak R,Keays M,Fahy E,Sud M,Subramaniam S,Barbera A,Jimenez RC,Nesvizhskii AI,Sansone SA,Steinbeck C,Lopez R,Vizcaino JA,Ping P,Hermjakob H","journal":"Nat Biotechnol","doi":"10.1038/nbt.3790","created_at":"2021-09-30T08:22:45.133Z","updated_at":"2021-09-30T08:22:45.133Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1459,"relation":"undefined"}],"grants":[{"id":5419,"fairsharing_record_id":282,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:26.674Z","updated_at":"2021-09-30T09:27:26.674Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5420,"fairsharing_record_id":282,"organisation_id":1968,"relation":"maintains","created_at":"2021-09-30T09:27:26.710Z","updated_at":"2021-09-30T09:27:26.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":1968,"name":"National Center for Protein Sciences, Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"283","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:53.000Z","updated_at":"2022-07-20T11:51:36.309Z","metadata":{"doi":"10.25504/FAIRsharing.2dUpZs","name":"FAIR Maturity Indicator Gen2-MI-F2A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F2A.md","identifier":283,"description":"The FAIR Maturity Indicator Gen2-MI-F2A measures whether the metadata of the record contains \"structured\" elements. These may be in the form of hash-like content (micrograph, JSON), or in one of the various forms of linked data (JSON-LD, RDFa, etc.).","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001374","bsg-s001374"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F2A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2dUpZs","doi":"10.25504/FAIRsharing.2dUpZs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F2A measures whether the metadata of the record contains \"structured\" elements. These may be in the form of hash-like content (micrograph, JSON), or in one of the various forms of linked data (JSON-LD, RDFa, etc.).","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13168},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13210},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13229},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13259},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13273},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20167}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1485,"relation":"undefined"}],"grants":[{"id":5421,"fairsharing_record_id":283,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:26.752Z","updated_at":"2021-09-30T09:27:26.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5423,"fairsharing_record_id":283,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:26.828Z","updated_at":"2021-09-30T09:27:26.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5422,"fairsharing_record_id":283,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:26.790Z","updated_at":"2021-09-30T09:27:26.790Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5424,"fairsharing_record_id":283,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:26.869Z","updated_at":"2021-09-30T09:27:26.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"284","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:47:45.104Z","metadata":{"doi":"10.25504/FAIRsharing.b084yh","name":"Online Mendelian Inheritance in Man Ontology","status":"ready","homepage":"http://omim.org/","identifier":284,"description":"OMIM is a comprehensive, authoritative compendium of human genes and genetic phenotypes as well as the relationship between them, that is freely available and updated daily. The OMIM ontology contains terms used within the OMIM database.","abbreviation":"OMIM Ontology","support_links":[{"url":"http://omim.org/contact","type":"Contact form"},{"url":"http://omim.org/help/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://omim.org/help/search","type":"Help documentation"},{"url":"http://omim.org/help/linking","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMIM","name":"OMIM","portal":"BioPortal"}]},"legacy_ids":["bsg-002615","bsg-s002615"],"name":"FAIRsharing record for: Online Mendelian Inheritance in Man Ontology","abbreviation":"OMIM Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.b084yh","doi":"10.25504/FAIRsharing.b084yh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OMIM is a comprehensive, authoritative compendium of human genes and genetic phenotypes as well as the relationship between them, that is freely available and updated daily. The OMIM ontology contains terms used within the OMIM database.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12015},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16955}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Disease process modeling","Phenotype","Disease","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1129,"pubmed_id":25428349,"title":"OMIM.org: Online Mendelian Inheritance in Man (OMIM(R)), an online catalog of human genes and genetic disorders.","year":2014,"url":"http://doi.org/10.1093/nar/gku1205","authors":"Amberger JS,Bocchini CA,Schiettecatte F,Scott AF,Hamosh A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1205","created_at":"2021-09-30T08:24:25.287Z","updated_at":"2021-09-30T11:28:59.934Z"}],"licence_links":[],"grants":[{"id":5425,"fairsharing_record_id":284,"organisation_id":2240,"relation":"maintains","created_at":"2021-09-30T09:27:26.911Z","updated_at":"2021-09-30T09:27:26.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":2240,"name":"OMIM Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5426,"fairsharing_record_id":284,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:26.949Z","updated_at":"2021-09-30T09:32:04.266Z","grant_id":1454,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1U41HG006627","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"261","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.424Z","metadata":{"doi":"10.25504/FAIRsharing.h1drng","name":"Tagged Image File Format","status":"ready","homepage":"http://www.digitalpreservation.gov/formats/fdd/fdd000022.shtml","identifier":261,"description":"A tag-based file format for storing and interchanging raster images.","abbreviation":null,"support_links":[{"url":"http://www.digitalpreservation.gov/formats/contact_format.shtml","type":"Contact form"},{"url":"https://en.wikipedia.org/wiki/TIFF","type":"Wikipedia"},{"url":"http://partners.adobe.com/public/developer/tiff/index.html","type":"Help documentation"}],"year_creation":1992},"legacy_ids":["bsg-000268","bsg-s000268"],"name":"FAIRsharing record for: Tagged Image File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.h1drng","doi":"10.25504/FAIRsharing.h1drng","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A tag-based file format for storing and interchanging raster images.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5394,"fairsharing_record_id":261,"organisation_id":25,"relation":"maintains","created_at":"2021-09-30T09:27:25.856Z","updated_at":"2021-09-30T09:27:25.856Z","grant_id":null,"is_lead":false,"saved_state":{"id":25,"name":"Adobe","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"285","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:55.700Z","metadata":{"doi":"10.25504/FAIRsharing.fk6zhb","name":"mz Quantitative Markup Language","status":"ready","contacts":[{"contact_name":"Andrew R Jones","contact_email":"andrew.jones@liv.ac.uk"}],"homepage":"http://www.psidev.info/mzquantml","identifier":285,"description":"The mzQuantML standard format is intended to store the systematic description of workflows quantifying molecules (principally peptides and proteins) by mass spectrometry. A large number of different software packages are available that produce output in a variety of different formats. It is intended that mzQuantML will provide a common format for the export of identification results from any software package.","abbreviation":"mzQuantML","support_links":[{"url":"psi-dev@listserv.sourceforge.net","name":"PSI Dev Mailing list","type":"Mailing list"},{"url":"https://github.com/HUPO-PSI/mzQuantML/raw/master/documentation/version1.0/mzQuantML1.0.1.docx","name":"User Guide","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-000003","bsg-s000003"],"name":"FAIRsharing record for: mz Quantitative Markup Language","abbreviation":"mzQuantML","url":"https://fairsharing.org/10.25504/FAIRsharing.fk6zhb","doi":"10.25504/FAIRsharing.fk6zhb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mzQuantML standard format is intended to store the systematic description of workflows quantifying molecules (principally peptides and proteins) by mass spectrometry. A large number of different software packages are available that produce output in a variety of different formats. It is intended that mzQuantML will provide a common format for the export of identification results from any software package.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11423},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11929},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16911}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Quantification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1339,"pubmed_id":23599424,"title":"The mzQuantML data standard for mass spectrometry-based quantitative studies in proteomics.","year":2013,"url":"http://doi.org/10.1074/mcp.O113.028506","authors":"Walzer M,Qi D,Mayer G,Uszkoreit J,Eisenacher M,Sachsenberg T,Gonzalez-Galarza FF,Fan J,Bessant C,Deutsch EW,Reisinger F,Vizcaino JA,Medina-Aunon JA,Albar JP,Kohlbacher O,Jones AR","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O113.028506","created_at":"2021-09-30T08:24:49.843Z","updated_at":"2021-09-30T08:24:49.843Z"}],"licence_links":[{"licence_name":"Mozilla Public License","licence_id":525,"licence_url":"https://www.mozilla.org/en-US/MPL/","link_id":554,"relation":"undefined"}],"grants":[{"id":5430,"fairsharing_record_id":285,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:27.061Z","updated_at":"2021-09-30T09:27:27.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5431,"fairsharing_record_id":285,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:27.099Z","updated_at":"2021-09-30T09:31:54.451Z","grant_id":1380,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I00095X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5427,"fairsharing_record_id":285,"organisation_id":2378,"relation":"funds","created_at":"2021-09-30T09:27:26.981Z","updated_at":"2021-09-30T09:27:26.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":2378,"name":"ProteomeXchange","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5429,"fairsharing_record_id":285,"organisation_id":2391,"relation":"maintains","created_at":"2021-09-30T09:27:27.030Z","updated_at":"2021-09-30T09:27:27.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":2391,"name":"Quantitative Biology Center (QBiC), Tuebingen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9282,"fairsharing_record_id":285,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:27.586Z","updated_at":"2022-04-11T12:07:27.602Z","grant_id":925,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0315450","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"286","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T11:30:33.364Z","metadata":{"doi":"10.25504/FAIRsharing.an9ct0","name":"BioMedBridges Diabetes Ontology","status":"deprecated","contacts":[{"contact_name":"Philipp","contact_email":"philipp.gormanns@helmholtz-muenchen.de"},{"contact_name":"General Queries about BioMedBridges","contact_email":"grants@elixir-europe.org","contact_orcid":null}],"homepage":"http://www.biomedbridges.eu/unlocking-data-mouse-disease-models-diabetes-ontology","citations":[],"identifier":286,"description":"The BioMedBridges diabetes-specific ontology enables users to integrate data resources related to prediabetes, diabetes, and late consequences/complications of diabetes. Data integration between mouse disease models and human studies is hindered by fundamental differences in the ontologies used by the respective communities to describe the same phenotypes. Common standards and ontologies to bridge the phenotype gap between mouse and human open extensive mouse phenotype data to clinical researchers. \n\nTo develop a comprehensive set of terms to describe Type 2 diabetes and obesity phenotypes in mouse and human, Type 2 Diabetes-related phenotypes were mined from the literature for use as new phenotype terms. Expert clinicians/diabetologists then curated the mined terms and categorised them by temporal disease stages. The ontology was then used for the annotation of mouse and human datasets with specific terminology representing Type 2 Diabetes progression, which will ultimately support translational research.","abbreviation":"DIAB","support_links":[{"url":"https://github.com/vasant32/DiabetesOntology","name":"GitHub Repository","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DIAB","name":"DIAB","portal":"BioPortal"}],"deprecation_date":"2022-01-19","deprecation_reason":"The project is no longer active and the homepage is available for reference purposes only."},"legacy_ids":["bsg-000980","bsg-s000980"],"name":"FAIRsharing record for: BioMedBridges Diabetes Ontology","abbreviation":"DIAB","url":"https://fairsharing.org/10.25504/FAIRsharing.an9ct0","doi":"10.25504/FAIRsharing.an9ct0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioMedBridges diabetes-specific ontology enables users to integrate data resources related to prediabetes, diabetes, and late consequences/complications of diabetes. Data integration between mouse disease models and human studies is hindered by fundamental differences in the ontologies used by the respective communities to describe the same phenotypes. Common standards and ontologies to bridge the phenotype gap between mouse and human open extensive mouse phenotype data to clinical researchers. \n\nTo develop a comprehensive set of terms to describe Type 2 diabetes and obesity phenotypes in mouse and human, Type 2 Diabetes-related phenotypes were mined from the literature for use as new phenotype terms. Expert clinicians/diabetologists then curated the mined terms and categorised them by temporal disease stages. The ontology was then used for the annotation of mouse and human datasets with specific terminology representing Type 2 Diabetes progression, which will ultimately support translational research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Diabetology"],"domains":["Diabetes mellitus"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"287","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-01-06T09:09:19.742Z","metadata":{"doi":"10.25504/FAIRsharing.bke5k","name":"Rheumatoid Arthritis ontology","status":"deprecated","contacts":[{"contact_name":"Liqin Wang","contact_email":"liqin.j.wang@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/RAO","citations":[],"identifier":287,"description":"A controlled vocabulary of RA-relevant information. Currently, only treatment information is available.","abbreviation":"RAO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RAO","name":"RAO","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"No valid homepage for this resource can be found. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-000977","bsg-s000977"],"name":"FAIRsharing record for: Rheumatoid Arthritis ontology","abbreviation":"RAO","url":"https://fairsharing.org/10.25504/FAIRsharing.bke5k","doi":"10.25504/FAIRsharing.bke5k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary of RA-relevant information. Currently, only treatment information is available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Rheumatology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"288","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:23.000Z","updated_at":"2022-07-20T11:10:58.324Z","metadata":{"doi":"10.25504/FAIRsharing.qUroF6","name":"FAIR Maturity Indicator Gen2-MI-I1A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I1A.md","identifier":288,"description":"The FAIR Maturity Indicator Gen2-MI-I1A measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a loose definition, that any kind of structured information is sufficient.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001378","bsg-s001378"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I1A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qUroF6","doi":"10.25504/FAIRsharing.qUroF6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I1A measures the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. There is debate in the community about what languages would be considered \"knowledge representation languages\", as such this Maturity Indicator is broken into two sub-MIs (Gen2-FM-I1A and Gen2-FM-I1B). This MI takes a loose definition, that any kind of structured information is sufficient.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13192},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13222},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13252},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13267},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20176}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1489,"relation":"undefined"}],"grants":[{"id":5435,"fairsharing_record_id":288,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:27.253Z","updated_at":"2021-09-30T09:27:27.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5432,"fairsharing_record_id":288,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:27.132Z","updated_at":"2021-09-30T09:27:27.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5433,"fairsharing_record_id":288,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:27.169Z","updated_at":"2021-09-30T09:27:27.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5434,"fairsharing_record_id":288,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:27.211Z","updated_at":"2021-09-30T09:27:27.211Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"289","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:04.421Z","metadata":{"doi":"10.25504/FAIRsharing.p51kqa","name":"Vertebrate Skeletal Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Wasila Dahdul","contact_email":"wasila.dahdul@usd.edu"}],"homepage":"https://wiki.phenoscape.org/wiki/Ontologies#Vertebrate_Skeletal_Anatomy_Ontology_.28VSAO.29","identifier":289,"description":"VSAO is an anatomy ontology covering the vertebrate skeletal system. VSAO integrates terms for skeletal cells, tissues, biological processes, organs (skeletal elements such as bones and cartilages), and subdivisions of the skeletal system. Note that VSAO is a deprecated ontology and has been superceded by Uberon.","abbreviation":"VSAO","support_links":[{"url":"https://wiki.phenoscape.org/wiki/Main_Page","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VSAO","name":"VSAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/vsao.html","name":"vsao","portal":"OBO Foundry"}],"deprecation_date":"2021-09-30","deprecation_reason":"Superceded by Uberon (https://fairsharing.org/FAIRsharing.4c0b6b)."},"legacy_ids":["bsg-000017","bsg-s000017"],"name":"FAIRsharing record for: Vertebrate Skeletal Anatomy Ontology","abbreviation":"VSAO","url":"https://fairsharing.org/10.25504/FAIRsharing.p51kqa","doi":"10.25504/FAIRsharing.p51kqa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VSAO is an anatomy ontology covering the vertebrate skeletal system. VSAO integrates terms for skeletal cells, tissues, biological processes, organs (skeletal elements such as bones and cartilages), and subdivisions of the skeletal system. Note that VSAO is a deprecated ontology and has been superceded by Uberon.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell","Molecular interaction","Organ","Tissue","Bone"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1654,"pubmed_id":23251424,"title":"A unified anatomy ontology of the vertebrate skeletal system.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0051070","authors":"Dahdul WM,Balhoff JP,Blackburn DC,Diehl AD,Haendel MA,Hall BK,Lapp H,Lundberg JG,Mungall CJ,Ringwald M,Segerdell E,Van Slyke CE,Vickaryous MK,Westerfield M,Mabee PM","journal":"PLoS One","doi":"10.1371/journal.pone.0051070","created_at":"2021-09-30T08:25:25.293Z","updated_at":"2021-09-30T08:25:25.293Z"}],"licence_links":[],"grants":[{"id":5436,"fairsharing_record_id":289,"organisation_id":2809,"relation":"maintains","created_at":"2021-09-30T09:27:27.332Z","updated_at":"2021-09-30T09:27:27.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"290","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-03-11T11:56:29.658Z","metadata":{"doi":"10.25504/FAIRsharing.jcj3gv","name":"Monogenean Ontology","status":"deprecated","contacts":[{"contact_name":"Narjes","contact_email":"hn.narjes@gmail.com"},{"contact_name":"Sarinder Kaur","contact_email":"sarinder@um.edu.my","contact_orcid":null}],"homepage":"http://bioportal.bioontology.org/ontologies/MONO","citations":[],"identifier":290,"description":"The Monogenean Ontology is an ontology describing the anatomy of Monogeneans, small worms that parasitise aquatic animals such as fish and frogs.","abbreviation":"MONO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MONO","name":"MONO","portal":"BioPortal"}],"deprecation_date":"2022-03-11","deprecation_reason":"This resource has not been updated in BioPortal since its initial submission, and no alternative homepage or information can be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000976","bsg-s000976"],"name":"FAIRsharing record for: Monogenean Ontology","abbreviation":"MONO","url":"https://fairsharing.org/10.25504/FAIRsharing.jcj3gv","doi":"10.25504/FAIRsharing.jcj3gv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Monogenean Ontology is an ontology describing the anatomy of Monogeneans, small worms that parasitise aquatic animals such as fish and frogs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Monogenea"],"user_defined_tags":[],"countries":["Malaysia"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"291","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:08:22.000Z","updated_at":"2022-07-20T12:38:57.054Z","metadata":{"doi":"10.25504/FAIRsharing.LLXjWx","name":"FAIR Maturity Indicator Gen2-MI-I3","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I3.md","identifier":291,"description":"The FAIR Maturity Indicator Gen2-MI-I3 measures whether the linked data metadata contain links that are not from the same source (domain/host). Data silos thwart interoperability. Thus, we should reasonably expect that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5 star linked data.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001382","bsg-s001382"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I3","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LLXjWx","doi":"10.25504/FAIRsharing.LLXjWx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I3 measures whether the linked data metadata contain links that are not from the same source (domain/host). Data silos thwart interoperability. Thus, we should reasonably expect that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5 star linked data.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13188},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13218},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13263},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20166}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1493,"relation":"undefined"}],"grants":[{"id":5438,"fairsharing_record_id":291,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:27.425Z","updated_at":"2021-09-30T09:27:27.425Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5437,"fairsharing_record_id":291,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:27.387Z","updated_at":"2021-09-30T09:27:27.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5439,"fairsharing_record_id":291,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:27.460Z","updated_at":"2021-09-30T09:27:27.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5440,"fairsharing_record_id":291,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:27.490Z","updated_at":"2021-09-30T09:27:27.490Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"292","type":"fairsharing_records","attributes":{"created_at":"2021-01-30T10:50:05.000Z","updated_at":"2022-02-08T10:42:52.411Z","metadata":{"doi":"10.25504/FAIRsharing.695abb","name":"Connectivity Table file format","status":"ready","contacts":[{"contact_name":"David H. Mathews","contact_email":"David_Mathews@urmc.rochester.edu","contact_orcid":"0000-0002-2907-6557"}],"homepage":"http://rna.urmc.rochester.edu/Text/File_Formats.html#CT","identifier":292,"description":"A CT (Connectivity Table) file contains secondary structure information for a RNA sequence.","abbreviation":"CT file format"},"legacy_ids":["bsg-001586","bsg-s001586"],"name":"FAIRsharing record for: Connectivity Table file format","abbreviation":"CT file format","url":"https://fairsharing.org/10.25504/FAIRsharing.695abb","doi":"10.25504/FAIRsharing.695abb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A CT (Connectivity Table) file contains secondary structure information for a RNA sequence.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12142}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["RNA sequence","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5441,"fairsharing_record_id":292,"organisation_id":1772,"relation":"maintains","created_at":"2021-09-30T09:27:27.521Z","updated_at":"2021-09-30T09:27:27.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":1772,"name":"Mathews Lab, Department of Biochemistry \u0026 Biophysics, University of Rochester Medical Center, Rochester, NY, US","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"293","type":"fairsharing_records","attributes":{"created_at":"2020-01-28T12:51:30.000Z","updated_at":"2022-02-08T10:31:10.392Z","metadata":{"doi":"10.25504/FAIRsharing.504c6c","name":"Radiomics Ontology","status":"ready","contacts":[{"contact_name":"Alberto Traverso","contact_email":"alberto.traverso@maastro.nl"}],"homepage":"https://github.com/albytrav/RadiomicsOntologyIBSI","identifier":293,"description":"The Radiomics Ontology (RO) aims to cover the radiomics feature domain as well as the full spectrum of radiomics computational details. Radiomics is a research area concerned with the extraction of large amount of features from radiographic medical images. The current version of the RO includes all the possible steps that should be documented when performing a radiomic study. RO shares IRIs with the IBSI reference manual.","abbreviation":"RO","support_links":[{"url":"https://github.com/albytrav/RadiomicsOntologyIBSI/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/albytrav/RadiomicsOntologyIBSI/wiki/1.-Home","name":"Wiki","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RO","name":"RO","portal":"BioPortal"}]},"legacy_ids":["bsg-001441","bsg-s001441"],"name":"FAIRsharing record for: Radiomics Ontology","abbreviation":"RO","url":"https://fairsharing.org/10.25504/FAIRsharing.504c6c","doi":"10.25504/FAIRsharing.504c6c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Radiomics Ontology (RO) aims to cover the radiomics feature domain as well as the full spectrum of radiomics computational details. Radiomics is a research area concerned with the extraction of large amount of features from radiographic medical images. The current version of the RO includes all the possible steps that should be documented when performing a radiomic study. RO shares IRIs with the IBSI reference manual.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiology","Computer Science","Biomedical Science"],"domains":["Medical imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Radiomics"],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":5442,"fairsharing_record_id":293,"organisation_id":1740,"relation":"maintains","created_at":"2021-09-30T09:27:27.553Z","updated_at":"2021-09-30T09:27:27.553Z","grant_id":null,"is_lead":true,"saved_state":{"id":1740,"name":"MAASTRO Clinic, Maastricht, The Netherlands","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"294","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-05-16T10:22:09.508Z","metadata":{"doi":"10.25504/FAIRsharing.46rwe6","name":"Clinical Signs and Symptoms Ontology","status":"deprecated","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"http://mdb.bio.titech.ac.jp/csso","citations":[],"identifier":294,"description":"An ontology for describing clinical signs and symptoms.","abbreviation":"CSSO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSSO","name":"CSSO","portal":"BioPortal"}],"deprecation_date":"2022-05-12","deprecation_reason":"This resource's homepage can no longer be found, and the related ontology download in BioPortal has not been updated since 2016. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-000982","bsg-s000982"],"name":"FAIRsharing record for: Clinical Signs and Symptoms Ontology","abbreviation":"CSSO","url":"https://fairsharing.org/10.25504/FAIRsharing.46rwe6","doi":"10.25504/FAIRsharing.46rwe6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing clinical signs and symptoms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"295","type":"fairsharing_records","attributes":{"created_at":"2016-12-27T19:50:55.000Z","updated_at":"2023-01-02T11:00:31.211Z","metadata":{"doi":"10.25504/FAIRsharing.9y8f0n","name":"The Potential Drug-drug Interaction and Potential Drug-drug Interaction Evidence Ontology","status":"ready","contacts":[{"contact_name":"Richard D. Boyce","contact_email":"rdb20@pitt.edu","contact_orcid":"0000-0002-2993-2085"}],"homepage":"https://github.com/DIDEO/DIDEO","citations":[],"identifier":295,"description":"A domain ontology for potential drug-drug interactions (PDDIs) that covers the material entities and processes in the domain of discourse for PDDI evidence and knowledge claims. The representation enables the integration of drug interaction mechanisms, effects, risk factors, severity, and management options with the chemical and pharmacological properties (e.g., chemical structure, function, pharmacokinetic and pharmacodynamic properties) of the interacting drugs. It also has a rich and detailed set evidence entities related to pharmacology. See below for publications about DIDEO. A description of the goals of the project can be found in the following workshop paper located in the docs/DIDEO-discussion-ICBO-Brochhausen-2014.pdf: Brochhausen, M., Schneider, J., Malone, D., Empey, PE., Hogan WR., and Boyce, RD. Towards a foundational representation of potential drug-drug interaction knowledge. The 1st International Drug-Drug Interaction Knowledge Representation Workshop (DIKR 2014). Collocated with the 2014 International Conference on Biomedical Ontology (ICBO 2014). October 6th, Houston, Texas. United States.","abbreviation":"DIDEO","support_links":[{"url":"http://forums.dikb.org/c/ontology-and-representation","type":"Forum"}],"year_creation":2014,"associated_tools":[{"url":"https://repo.napdi.org/","name":"The Natural Product-Drug Interaction Research Data Repository 1.0"}],"cross_references":[{"url":"http://www.obofoundry.org/ontology/dideo.html","name":"dideo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000690","bsg-s000690"],"name":"FAIRsharing record for: The Potential Drug-drug Interaction and Potential Drug-drug Interaction Evidence Ontology","abbreviation":"DIDEO","url":"https://fairsharing.org/10.25504/FAIRsharing.9y8f0n","doi":"10.25504/FAIRsharing.9y8f0n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A domain ontology for potential drug-drug interactions (PDDIs) that covers the material entities and processes in the domain of discourse for PDDI evidence and knowledge claims. The representation enables the integration of drug interaction mechanisms, effects, risk factors, severity, and management options with the chemical and pharmacological properties (e.g., chemical structure, function, pharmacokinetic and pharmacodynamic properties) of the interacting drugs. It also has a rich and detailed set evidence entities related to pharmacology. See below for publications about DIDEO. A description of the goals of the project can be found in the following workshop paper located in the docs/DIDEO-discussion-ICBO-Brochhausen-2014.pdf: Brochhausen, M., Schneider, J., Malone, D., Empey, PE., Hogan WR., and Boyce, RD. Towards a foundational representation of potential drug-drug interaction knowledge. The 1st International Drug-Drug Interaction Knowledge Representation Workshop (DIKR 2014). Collocated with the 2014 International Conference on Biomedical Ontology (ICBO 2014). October 6th, Houston, Texas. United States.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry"],"domains":["Evidence","Drug interaction","Natural product"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":422,"pubmed_id":null,"title":"Conceptual models of drug-drug interactions : A summary of recent efforts","year":2016,"url":"http://doi.org/10.1016/j.knosys.2016.10.006","authors":"María Herrero-Zazo and Isabel Segura-Bedmar and Paloma Martínez","journal":"Knowledge-based systems","doi":"10.1016/j.knosys.2016.10.006","created_at":"2021-09-30T08:23:05.866Z","updated_at":"2021-09-30T08:23:05.866Z"},{"id":1953,"pubmed_id":null,"title":"Towards a foundational representation of potential drug-drug interaction knowledge.","year":2014,"url":"https://www.dbmi.pitt.edu/sites/default/files/lisc2014_proceedings2.pdf","authors":"Brochhausen, M. Et al.","journal":"The 1st International Drug-Drug Interaction Knowledge Representation Workshop (DIKR 2014). Collocated with the 2014 International Conference on Biomedical Ontology (ICBO 2014).","doi":null,"created_at":"2021-09-30T08:25:59.774Z","updated_at":"2021-09-30T11:28:33.744Z"},{"id":2452,"pubmed_id":29743102,"title":"Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0183-z","authors":"Judkins J,Tay-Sontheimer J,Boyce RD,Brochhausen M","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0183-z","created_at":"2021-09-30T08:27:00.787Z","updated_at":"2021-09-30T08:27:00.787Z"},{"id":2549,"pubmed_id":29295242,"title":"Formalizing Evidence Type Definitions for Drug-Drug Interaction Studies to Improve Evidence Base Curation.","year":2018,"url":"https://www.ncbi.nlm.nih.gov/pubmed/29295242","authors":"Utecht J,Brochhausen M,Judkins J,Schneider J,Boyce RD","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:27:12.587Z","updated_at":"2021-09-30T08:27:12.587Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":573,"relation":"undefined"}],"grants":[{"id":5444,"fairsharing_record_id":295,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:27.624Z","updated_at":"2021-09-30T09:27:27.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5443,"fairsharing_record_id":295,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:27.592Z","updated_at":"2021-09-30T09:32:07.994Z","grant_id":1483,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01LM011838","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"296","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:08:12.000Z","updated_at":"2022-07-20T12:08:02.348Z","metadata":{"doi":"10.25504/FAIRsharing.RCUuvt","name":"FAIR Maturity Indicator Gen2-MI-I2B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I2B.md","identifier":296,"description":"The FAIR Maturity Indicator Gen2-MI-I2B measures if the (meta)data uses vocabularies that are, themselves, FAIR. In this strict Maturity Indicator, we test if the vocabulary terms resolve to machine-readable linked data. A second Maturity Indicator (Gen2-FM-I2A) is looser than this MI.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001381","bsg-s001381"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I2B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.RCUuvt","doi":"10.25504/FAIRsharing.RCUuvt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I2B measures if the (meta)data uses vocabularies that are, themselves, FAIR. In this strict Maturity Indicator, we test if the vocabulary terms resolve to machine-readable linked data. A second Maturity Indicator (Gen2-FM-I2A) is looser than this MI.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13189},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13219},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13249},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13264},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20179}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1492,"relation":"undefined"}],"grants":[{"id":5445,"fairsharing_record_id":296,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:27.661Z","updated_at":"2021-09-30T09:27:27.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5446,"fairsharing_record_id":296,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:27.703Z","updated_at":"2021-09-30T09:27:27.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5447,"fairsharing_record_id":296,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:27.745Z","updated_at":"2021-09-30T09:27:27.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5448,"fairsharing_record_id":296,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:27.782Z","updated_at":"2021-09-30T09:27:27.782Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"297","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T11:09:01.963Z","metadata":{"doi":"10.25504/FAIRsharing.knrb06","name":"Nexus XML","status":"ready","contacts":[{"contact_name":"Rutger Vos","contact_email":"rutger.vos@ncbnaturalis.nl","contact_orcid":"0000-0001-9254-7318"}],"homepage":"https://github.com/nexml","citations":[],"identifier":297,"description":"To facilitate interoperability in evolutionary comparative analysis, we present NeXML, an XML standard (inspired by the current standard, NEXUS) that supports exchange of richly annotated comparative data. NeXML defines syntax for operational taxonomic units, character-state matrices, and phylogenetic trees and networks. Documents can be validated unambiguously. Importantly, any data element can be annotated, to an arbitrary degree of richness, using a system that is both flexible and rigorous. We describe how the use of NeXML by the TreeBASE and Phenoscape projects satisfies user needs that cannot be satisfied with other available file formats","abbreviation":"NeXML","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/nexml-discuss","type":"Mailing list"},{"url":"https://github.com/nexml","name":"NeXML Manual","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/NeXML_format","name":"Wikipedia ","type":"Other"}],"year_creation":2011},"legacy_ids":["bsg-000529","bsg-s000529"],"name":"FAIRsharing record for: Nexus XML","abbreviation":"NeXML","url":"https://fairsharing.org/10.25504/FAIRsharing.knrb06","doi":"10.25504/FAIRsharing.knrb06","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To facilitate interoperability in evolutionary comparative analysis, we present NeXML, an XML standard (inspired by the current standard, NEXUS) that supports exchange of richly annotated comparative data. NeXML defines syntax for operational taxonomic units, character-state matrices, and phylogenetic trees and networks. Documents can be validated unambiguously. Importantly, any data element can be annotated, to an arbitrary degree of richness, using a system that is both flexible and rigorous. We describe how the use of NeXML by the TreeBASE and Phenoscape projects satisfies user needs that cannot be satisfied with other available file formats","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","India","Netherlands","United States"],"publications":[{"id":2291,"pubmed_id":22357728,"title":"NeXML: Rich, Extensible, and Verifiable Representation of Comparative Data and Metadata","year":2012,"url":"http://doi.org/10.1093/sysbio/sys025","authors":"Vos RA, Balhoff JP, Caravas JA, Holder MT, Lapp H, Maddison WP, Midford PE, Priyam A, Sukumaran J, Xia X, Stoltzfus A.","journal":"Systematic Biology","doi":"doi:10.1093/sysbio/sys025","created_at":"2021-09-30T08:26:39.465Z","updated_at":"2021-09-30T08:26:39.465Z"}],"licence_links":[],"grants":[{"id":5450,"fairsharing_record_id":297,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:27.879Z","updated_at":"2021-09-30T09:29:18.519Z","grant_id":188,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"237046","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5449,"fairsharing_record_id":297,"organisation_id":3107,"relation":"maintains","created_at":"2021-09-30T09:27:27.815Z","updated_at":"2021-09-30T09:27:27.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"298","type":"fairsharing_records","attributes":{"created_at":"2018-07-17T12:22:49.000Z","updated_at":"2023-11-01T11:09:03.814Z","metadata":{"name":"FAIR Data Point","status":"in_development","homepage":"https://github.com/DTL-FAIRData/FAIRDataPoint","identifier":298,"description":"FAIRDataPoint is a REST api for creating, storing and servering FAIR metadata. The metadata contents are in this api are generated semi-automatically according to the FAIR Data Point software specification document. In the current version of api we support GET, POST and PATCH requests.","abbreviation":"FDP","support_links":[{"url":"https://github.com/DTL-FAIRData/FAIRDataPoint/wiki/FAIR-Data-Point-Specification","name":"FAIR Data Point Specification","type":"Github"},{"url":"https://fairdatapoint.readthedocs.io/en/latest/","name":"FAIR Data Point Documentation","type":"Help documentation"}]},"legacy_ids":["bsg-001221","bsg-s001221"],"name":"FAIRsharing record for: FAIR Data Point","abbreviation":"FDP","url":"https://fairsharing.org/fairsharing_records/298","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FAIRDataPoint is a REST api for creating, storing and servering FAIR metadata. The metadata contents are in this api are generated semi-automatically according to the FAIR Data Point software specification document. In the current version of api we support GET, POST and PATCH requests.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"299","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T16:56:56.000Z","updated_at":"2022-07-20T12:06:19.137Z","metadata":{"doi":"10.25504/FAIRsharing.1dd23d","name":"Multiple Alignment using Fast Fourier Transform","status":"ready","contacts":[{"contact_name":"Kazutaka Katoh","contact_email":"katoh@ifrec.osaka-u.ac.jp","contact_orcid":"0000-0003-4133-8393"}],"homepage":"https://mafft.cbrc.jp/alignment/software/","identifier":299,"description":"MAFFT (Multiple Alignment using Fast Fourier Transform) is a high speed multiple sequence alignment program which implements the Fast Fourier Transform (FFT) to optimise protein alignments based on the physical properties of the amino acids. The program uses progressive alignment and iterative alignment. MAFFT is useful for hard-to-align sequences such as those containing large gaps (e.g., rRNA sequences containing variable loop regions).","abbreviation":"MAFFT","support_links":[{"url":"https://mafft.cbrc.jp/alignment/software/mailform.html","name":"Feedback","type":"Contact form"},{"url":"https://www.ebi.ac.uk/seqdb/confluence/display/JDSAT/MAFFT+Help+and+Documentation","name":"MAFFT Help and Documentation on EMBL-EBI","type":"Help documentation"}],"year_creation":2006,"associated_tools":[{"url":"https://mafft.cbrc.jp/alignment/server/index.html","name":"Multiple alignment program for amino acid or nucleotide sequences Version 7"}]},"legacy_ids":["bsg-001584","bsg-s001584"],"name":"FAIRsharing record for: Multiple Alignment using Fast Fourier Transform","abbreviation":"MAFFT","url":"https://fairsharing.org/10.25504/FAIRsharing.1dd23d","doi":"10.25504/FAIRsharing.1dd23d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MAFFT (Multiple Alignment using Fast Fourier Transform) is a high speed multiple sequence alignment program which implements the Fast Fourier Transform (FFT) to optimise protein alignments based on the physical properties of the amino acids. The program uses progressive alignment and iterative alignment. MAFFT is useful for hard-to-align sequences such as those containing large gaps (e.g., rRNA sequences containing variable loop regions).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12141}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science","Comparative Genomics"],"domains":["Multiple sequence alignment","Function analysis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":84,"pubmed_id":23329690,"title":"MAFFT multiple sequence alignment software version 7: improvements in performance and usability.","year":2013,"url":"http://doi.org/10.1093/molbev/mst010","authors":"Katoh K,Standley DM","journal":"Mol Biol Evol","doi":"10.1093/molbev/mst010","created_at":"2021-09-30T08:22:29.082Z","updated_at":"2021-09-30T08:22:29.082Z"}],"licence_links":[{"licence_name":"MAFFT Licence","licence_id":499,"licence_url":"https://mafft.cbrc.jp/alignment/software/license.txt","link_id":1898,"relation":"undefined"}],"grants":[{"id":5451,"fairsharing_record_id":299,"organisation_id":581,"relation":"maintains","created_at":"2021-09-30T09:27:27.917Z","updated_at":"2021-09-30T09:27:27.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":581,"name":"Computational Biology Research Center, The National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"300","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T09:02:37.648Z","metadata":{"doi":"10.25504/FAIRsharing.8sz2fa","name":"TDWG Specimen LSID Ontology","status":"deprecated","contacts":[{"contact_name":"Kim Durante","contact_email":"kimberlydurante@gmail.com"}],"homepage":"https://github.com/tdwg/ontology","citations":[],"identifier":300,"description":"The TDWG Specimen LSID Ontology was designed to represent records of specimens, and contain information specific to the specimen. Biodiversity Information Standards (TDWG) is an international not-for-profit group that develops standards and protocols for sharing biodiversity data. They have a detailed collection of vocabularies and ontologies for studies of biological organisms.","abbreviation":"TDWGSPEC","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TDWGSPEC","name":"TDWGSPEC","portal":"BioPortal"}],"deprecation_date":"2022-07-15","deprecation_reason":"This ontology has been deprecated by the TDWG."},"legacy_ids":["bsg-000985","bsg-s000985"],"name":"FAIRsharing record for: TDWG Specimen LSID Ontology","abbreviation":"TDWGSPEC","url":"https://fairsharing.org/10.25504/FAIRsharing.8sz2fa","doi":"10.25504/FAIRsharing.8sz2fa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TDWG Specimen LSID Ontology was designed to represent records of specimens, and contain information specific to the specimen. Biodiversity Information Standards (TDWG) is an international not-for-profit group that develops standards and protocols for sharing biodiversity data. They have a detailed collection of vocabularies and ontologies for studies of biological organisms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12119}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Biodiversity"],"domains":["Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"307","type":"fairsharing_records","attributes":{"created_at":"2015-12-22T17:23:29.000Z","updated_at":"2023-07-11T09:46:17.300Z","metadata":{"doi":"10.25504/FAIRsharing.rd1j6t","name":"Brain Imaging Data Structure","status":"ready","contacts":[{"contact_name":"Chris Gorgolewski","contact_email":"krzysztof.gorgolewski@gmail.com","contact_orcid":"0000-0003-3321-7583"}],"homepage":"http://bids.neuroimaging.io","citations":[{"doi":"10.1038/sdata.2016.44","pubmed_id":27326542,"publication_id":2425}],"identifier":307,"description":"BIDS is a simple, easy to use standard for organizing and describing outputs of neuroimaging experiments.","abbreviation":"BIDS","support_links":[{"url":"https://groups.google.com/forum/#!forum/bids-discussion","name":"BIDS Discussion Forum","type":"Forum"},{"url":"https://neurostars.org/","name":"Neurostars Forum","type":"Forum"},{"url":"https://bids-specification.readthedocs.io/en/stable/","name":"BIDS Specification Documentation","type":"Help documentation"},{"url":"https://github.com/bids-standard/bids-specification/","name":"BIDS specification","type":"Github"},{"url":"https://twitter.com/BIDSstandard/","name":"@BIDSstandard","type":"Twitter"}],"year_creation":2015,"associated_tools":[{"url":"https://github.com/bids-standard/bids-validator","name":"BIDS Validator"},{"url":"https://github.com/bids-standard/BIDS2ISATab","name":"BIDS2ISATab"},{"url":"https://github.com/bids-standard/openfmri2bids","name":"openfmri2bids"},{"url":"https://github.com/bids-standard/bidsutils/tree/master/BIDSto3col","name":"BIDSto3col"},{"url":"https://github.com/aces/EEG2BIDS","name":"EEG2BIDS"},{"url":"https://github.com/Donders-Institute/bidscoin","name":"BIDScoin"},{"url":"https://github.com/rordenlab/dcm2niix","name":"dcm2niix"}]},"legacy_ids":["bsg-000634","bsg-s000634"],"name":"FAIRsharing record for: Brain Imaging Data Structure","abbreviation":"BIDS","url":"https://fairsharing.org/10.25504/FAIRsharing.rd1j6t","doi":"10.25504/FAIRsharing.rd1j6t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BIDS is a simple, easy to use standard for organizing and describing outputs of neuroimaging experiments.","linked_records":[],"linking_records":[{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12386},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16896}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Cognitive Neuroscience"],"domains":["Microscopy","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["Canada","France","Germany","Sweden","United Kingdom","United States"],"publications":[{"id":793,"pubmed_id":null,"title":"EEG-BIDS, an extension to the brain imaging data structure for electroencephalography","year":2019,"url":"https://doi.org/10.1038/s41597-019-0104-8","authors":"Cyril R. Pernet, Stefan Appelhoff, Krzysztof J. Gorgolewski, Guillaume Flandin, Christophe Phillips, Arnaud Delorme \u0026 Robert Oostenveld","journal":"Scientific Datavolume","doi":"10.1038/s41597-019-0104-8","created_at":"2021-09-30T08:23:47.403Z","updated_at":"2021-09-30T08:23:47.403Z"},{"id":2087,"pubmed_id":null,"title":"iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology","year":2019,"url":"https://doi.org/10.1038/s41597-019-0105-7","authors":"Christopher Holdgraf, Stefan Appelhoff, Stephan Bickel, Kristofer Bouchard, Sasha D’Ambrosio, Olivier David, Orrin Devinsky, Benjamin Dichter, Adeen Flinker, Brett L. Foster, Krzysztof J. Gorgolewski, Iris Groen, David Groppe, Aysegul Gunduz, Liberty Hamilton, Christopher J. Honey, Mainak Jas, Robert Knight, Jean-Philippe Lachaux, Jonathan C. Lau, Christopher Lee-Messer, Brian N. Lundstrom, Kai J. Miller, Jeffrey G. Ojemann, Robert Oostenveld, Natalia Petridou, Gio Piantoni, Andrea Pigorini, Nader Pouratian, Nick F. Ramsey, Arjen Stolk, Nicole C. Swann, François Tadel, Bradley Voytek, Brian A. Wandell, Jonathan Winawer, Kirstie Whitaker, Lyuba Zehl \u0026 Dora Hermes","journal":"Scientific Data","doi":"10.1038/s41597-019-0105-7","created_at":"2021-09-30T08:26:15.256Z","updated_at":"2021-09-30T08:26:15.256Z"},{"id":2326,"pubmed_id":28278228,"title":"BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.","year":2017,"url":"http://doi.org/10.1371/journal.pcbi.1005209","authors":"Gorgolewski KJ,Alfaro-Almagro F,Auer T,Bellec P,Capota M,Chakravarty MM,Churchill NW,Cohen AL,Craddock RC,Devenyi GA,Eklund A,Esteban O,Flandin G,Ghosh SS,Guntupalli JS,Jenkinson M,Keshavan A,Kiar G,Liem F,Raamana PR,Raffelt D,Steele CJ,Quirion PO,Smith RE,Strother SC,Varoquaux G,Wang Y,Yarkoni T,Poldrack RA","journal":"PLoS Comput Biol","doi":"10.1371/journal.pcbi.1005209","created_at":"2021-09-30T08:26:45.560Z","updated_at":"2021-09-30T08:26:45.560Z"},{"id":2425,"pubmed_id":27326542,"title":"The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.44","authors":"Gorgolewski KJ,Auer T,Calhoun VD,Craddock RC,Das S,Duff EP,Flandin G,Ghosh SS,Glatard T,Halchenko YO,Handwerker DA,Hanke M,Keator D,Li X,Michael Z,Maumet C,Nichols BN,Nichols TE,Pellman J,Poline JB,Rokem A,Schaefer G,Sochat V,Triplett W,Turner JA,Varoquaux G,Poldrack RA","journal":"Sci Data","doi":"10.1038/sdata.2016.44","created_at":"2021-09-30T08:26:57.597Z","updated_at":"2021-09-30T08:26:57.597Z"},{"id":2429,"pubmed_id":29917016,"title":"MEG-BIDS, the brain imaging data structure extended to magnetoencephalography.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.110","authors":"Niso G,Gorgolewski KJ,Bock E,Brooks TL,Flandin G,Gramfort A,Henson RN,Jas M,Litvak V,T Moreau J,Oostenveld R,Schoffelen JM,Tadel F,Wexler J,Baillet S","journal":"Sci Data","doi":"10.1038/sdata.2018.110","created_at":"2021-09-30T08:26:58.061Z","updated_at":"2021-09-30T08:26:58.061Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2865,"relation":"applies_to_content"}],"grants":[{"id":9901,"fairsharing_record_id":307,"organisation_id":3703,"relation":"maintains","created_at":"2022-09-21T10:28:19.647Z","updated_at":"2022-09-21T10:28:19.647Z","grant_id":null,"is_lead":true,"saved_state":{"id":3703,"name":"BIDS Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9903,"fairsharing_record_id":307,"organisation_id":2071,"relation":"funds","created_at":"2022-09-21T10:28:19.687Z","updated_at":"2022-09-21T10:28:19.687Z","grant_id":1897,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"OAC-1760950","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9902,"fairsharing_record_id":307,"organisation_id":2022,"relation":"funds","created_at":"2022-09-21T10:28:19.648Z","updated_at":"2022-09-21T10:28:19.648Z","grant_id":1901,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health","grant":"R24MH114705","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9904,"fairsharing_record_id":307,"organisation_id":1321,"relation":"funds","created_at":"2022-09-21T10:28:19.690Z","updated_at":"2022-09-21T10:28:19.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":9905,"fairsharing_record_id":307,"organisation_id":1689,"relation":"funds","created_at":"2022-09-21T10:28:19.777Z","updated_at":"2022-09-21T10:28:19.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":1689,"name":"Laura and John Arnold Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcU1CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d527d7827343dce1b23ad71809612cea4ae9fb69/800px-BIDS_Logo.png?disposition=inline","exhaustive_licences":false}},{"id":"308","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T17:35:44.000Z","updated_at":"2022-04-11T12:07:19.935Z","metadata":{"doi":"10.25504/FAIRsharing.e729c4","name":"RNA Markup Language","status":"ready","contacts":[{"contact_name":"François Major","contact_email":"major@iro.umontreal.ca","contact_orcid":"0000-0003-1743-0480"}],"homepage":"http://www-lbit.iro.umontreal.ca/rnaml/","identifier":308,"description":"RNAML syntax was designed to facilitate the interoperation of multiple RNA informatics programs and to exchange basic RNA molecular information.","abbreviation":"RNAML","year_creation":2002},"legacy_ids":["bsg-001585","bsg-s001585"],"name":"FAIRsharing record for: RNA Markup Language","abbreviation":"RNAML","url":"https://fairsharing.org/10.25504/FAIRsharing.e729c4","doi":"10.25504/FAIRsharing.e729c4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAML syntax was designed to facilitate the interoperation of multiple RNA informatics programs and to exchange basic RNA molecular information.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12134}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","France","United States"],"publications":[{"id":109,"pubmed_id":12088144,"title":"RNAML: a standard syntax for exchanging RNA information.","year":2002,"url":"http://doi.org/10.1017/s1355838202028017","authors":"Waugh A,Gendron P,Altman R,Brown JW,Case D,Gautheret D,Harvey SC,Leontis N,Westbrook J,Westhof E,Zuker M,Major F","journal":"RNA","doi":"10.1017/s1355838202028017","created_at":"2021-09-30T08:22:32.089Z","updated_at":"2021-09-30T08:22:32.089Z"}],"licence_links":[],"grants":[{"id":5459,"fairsharing_record_id":308,"organisation_id":3102,"relation":"maintains","created_at":"2021-09-30T09:27:28.233Z","updated_at":"2021-09-30T09:27:28.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":3102,"name":"University of Montreal, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5460,"fairsharing_record_id":308,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:28.265Z","updated_at":"2021-09-30T09:32:35.187Z","grant_id":1686,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"LM06244","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5458,"fairsharing_record_id":308,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:28.196Z","updated_at":"2021-09-30T09:31:47.668Z","grant_id":1329,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-9600637","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9180,"fairsharing_record_id":308,"organisation_id":359,"relation":"funds","created_at":"2022-04-11T12:07:19.925Z","updated_at":"2022-04-11T12:07:19.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"310","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:12:08.000Z","updated_at":"2022-12-14T08:23:07.294Z","metadata":{"doi":"10.25504/FAIRsharing.W6zGvD","name":"Universal Worker Service Pattern","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://ivoa.net/documents/UWS/index.html","citations":[{"publication_id":2953}],"identifier":310,"description":"The Universal Worker Service (UWS) pattern defines how to manage asynchronous execution of jobs on a service. Any application of the pattern defines a family of related services with a common service contract. Possible uses of the pattern are also described.","abbreviation":"UWS","support_links":[{"url":"http://ivoa.net/documents/UWS/20161024/REC-UWS-1.1-20161024.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/AsynchronousHome","name":"UWS Wiki","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001193","bsg-s001193"],"name":"FAIRsharing record for: Universal Worker Service Pattern","abbreviation":"UWS","url":"https://fairsharing.org/10.25504/FAIRsharing.W6zGvD","doi":"10.25504/FAIRsharing.W6zGvD","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Universal Worker Service (UWS) pattern defines how to manage asynchronous execution of jobs on a service. Any application of the pattern defines a family of related services with a common service contract. Possible uses of the pattern are also described.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11455}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2953,"pubmed_id":null,"title":"Universal Worker Service Pattern Version 1.1","year":2016,"url":"http://dx.doi.org/10.5479/ADS/bib/2016ivoa.spec.1024H","authors":"Harrison, P. A.; Rixon, G.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.933Z","updated_at":"2021-09-30T08:28:03.933Z"}],"licence_links":[],"grants":[{"id":5462,"fairsharing_record_id":310,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:27:28.314Z","updated_at":"2021-09-30T09:27:28.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5461,"fairsharing_record_id":310,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:28.289Z","updated_at":"2021-09-30T09:27:28.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"311","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-20T09:06:25.371Z","metadata":{"doi":"10.25504/FAIRsharing.rbpqg","name":"PGxO","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"adrien.coulet@loria.fr"}],"homepage":"https://pgxo.loria.fr","citations":[],"identifier":311,"description":"PGxO is a lightweight and simple Pharmacogenomic Ontology to reconcile and trace knowledge in pharmacogenomics (PGx).","abbreviation":"PGXO","support_links":[{"url":"https://github.com/practikpharma/PGxO","name":"PGxO GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PGXO","name":"PGXO","portal":"BioPortal"}]},"legacy_ids":["bsg-000989","bsg-s000989"],"name":"FAIRsharing record for: PGxO","abbreviation":"PGXO","url":"https://fairsharing.org/10.25504/FAIRsharing.rbpqg","doi":"10.25504/FAIRsharing.rbpqg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PGxO is a lightweight and simple Pharmacogenomic Ontology to reconcile and trace knowledge in pharmacogenomics (PGx).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacogenomics"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3478,"pubmed_id":null,"title":"PGxO and PGxLOD: a reconciliation of pharmacogenomic knowledge of various provenances, enabling further comparison","year":2019,"url":"http://dx.doi.org/10.1186/s12859-019-2693-9","authors":"Monnin, Pierre; Legrand, Joël; Husson, Graziella; Ringot, Patrice; Tchechmedjiev, Andon; Jonquet, Clément; Napoli, Amedeo; Coulet, Adrien; ","journal":"BMC Bioinformatics","doi":"10.1186/s12859-019-2693-9","created_at":"2022-07-15T21:45:20.014Z","updated_at":"2022-07-15T21:45:20.014Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2732,"relation":"applies_to_content"}],"grants":[{"id":9680,"fairsharing_record_id":311,"organisation_id":2981,"relation":"maintains","created_at":"2022-07-15T21:46:36.536Z","updated_at":"2022-07-15T21:46:36.536Z","grant_id":null,"is_lead":true,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"312","type":"fairsharing_records","attributes":{"created_at":"2018-07-26T10:13:47.000Z","updated_at":"2024-05-21T08:20:13.211Z","metadata":{"name":"Blood Ontology","status":"deprecated","contacts":[{"contact_name":"BLO consortium","contact_email":"mba@eci.ufmg.br"}],"homepage":"https://mba.eci.ufmg.br/BLO/","citations":[],"identifier":312,"description":"The Blood Ontology is a set of co-related ontologies being created to gather and represent data about blood according to well-founded ontological principles.","abbreviation":"BLO","year_creation":2011,"deprecation_date":"2024-05-21","deprecation_reason":"Although this resource has a homepage, it has no released ontology file and does not seem active. Please get in touch with us if you have more information about this resource."},"legacy_ids":["bsg-001229","bsg-s001229"],"name":"FAIRsharing record for: Blood Ontology","abbreviation":"BLO","url":"https://fairsharing.org/fairsharing_records/312","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Blood Ontology is a set of co-related ontologies being created to gather and represent data about blood according to well-founded ontological principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Blood"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Brazil"],"publications":[],"licence_links":[],"grants":[{"id":5463,"fairsharing_record_id":312,"organisation_id":1776,"relation":"maintains","created_at":"2021-09-30T09:27:28.340Z","updated_at":"2024-05-21T08:19:02.844Z","grant_id":null,"is_lead":true,"saved_state":{"id":1776,"name":"Mauricio B. Almeida lab, Federal University of Minas Gerais","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":11772,"fairsharing_record_id":312,"organisation_id":3025,"relation":"collaborates_on","created_at":"2024-05-10T08:43:16.035Z","updated_at":"2024-05-10T08:43:16.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"313","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:09.403Z","metadata":{"doi":"10.25504/FAIRsharing.ypfgeq","name":"Translational Medicine Ontology","status":"ready","contacts":[{"contact_email":"tmo-administration@googlegroups.com"}],"homepage":"https://www.w3.org/wiki/HCLSIG/PharmaOntology/Ontology","identifier":313,"description":"This project focuses on the development of a high level patient-centric ontology for the pharmaceutical industry. The ontology should enable silos in discovery research, hypothesis management, experimental studies, compounds, formulation, drug development, market size, competitive data, population data, etc. to be brought together. This would enable scientists to answer new questions, and to answer existing scientific questions more quickly. This will help pharmaceutical companies to model patient-centric information, which is essential for the tailoring of drugs, and for early detection of compounds that may have sub-optimal safety profiles. The ontology should link to existing publicly available domain ontologies.","abbreviation":"TMO","support_links":[{"url":"https://code.google.com/archive/p/translationalmedicineontology/","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TMO","name":"TMO","portal":"BioPortal"}]},"legacy_ids":["bsg-002660","bsg-s002660"],"name":"FAIRsharing record for: Translational Medicine Ontology","abbreviation":"TMO","url":"https://fairsharing.org/10.25504/FAIRsharing.ypfgeq","doi":"10.25504/FAIRsharing.ypfgeq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This project focuses on the development of a high level patient-centric ontology for the pharmaceutical industry. The ontology should enable silos in discovery research, hypothesis management, experimental studies, compounds, formulation, drug development, market size, competitive data, population data, etc. to be brought together. This would enable scientists to answer new questions, and to answer existing scientific questions more quickly. This will help pharmaceutical companies to model patient-centric information, which is essential for the tailoring of drugs, and for early detection of compounds that may have sub-optimal safety profiles. The ontology should link to existing publicly available domain ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12461}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Drug Development","Biomedical Science","Translational Medicine"],"domains":["Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Germany","Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":514,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":515,"relation":"undefined"}],"grants":[{"id":5465,"fairsharing_record_id":313,"organisation_id":2860,"relation":"maintains","created_at":"2021-09-30T09:27:28.390Z","updated_at":"2021-09-30T09:27:28.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":2860,"name":"TMO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5464,"fairsharing_record_id":313,"organisation_id":3207,"relation":"maintains","created_at":"2021-09-30T09:27:28.364Z","updated_at":"2021-09-30T09:27:28.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":3207,"name":"W3C Semantic Web for Health Care and Life Sciences Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5466,"fairsharing_record_id":313,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:27:28.414Z","updated_at":"2021-09-30T09:27:28.414Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"322","type":"fairsharing_records","attributes":{"created_at":"2018-10-22T21:56:18.000Z","updated_at":"2022-07-29T15:01:32.115Z","metadata":{"doi":"10.25504/FAIRsharing.123197","name":"OpenAIRE Guidelines for Data Archives","status":"ready","homepage":"https://guidelines.openaire.eu/en/latest/data/index.html","citations":[],"identifier":322,"description":"The OpenAIRE Guidelines for Data Archive provides instruction for data archive managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. The metadata from data archives should be included in the OpenAIRE information space, and exposed when data are related to an open access publication e.g. a dataset cited by an article.","abbreviation":null,"support_links":[{"url":"https://zenodo.org/record/6918#.XfjahjJKhQJ","name":"OpenAIRE Guidelines for Data Archive Managers v1.0","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001332","bsg-s001332"],"name":"FAIRsharing record for: OpenAIRE Guidelines for Data Archives","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.123197","doi":"10.25504/FAIRsharing.123197","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OpenAIRE Guidelines for Data Archive provides instruction for data archive managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. The metadata from data archives should be included in the OpenAIRE information space, and exposed when data are related to an open access publication e.g. a dataset cited by an article.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12949},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13346},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13368},{"linking_record_name":"Mapping CDC to OpenAIRE, B2find, schema.org and Dublin Core","linking_record_id":3646,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13371}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Resource metadata","Publication","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":974,"relation":"undefined"}],"grants":[{"id":9711,"fairsharing_record_id":322,"organisation_id":2252,"relation":"maintains","created_at":"2022-07-29T13:02:15.621Z","updated_at":"2022-07-29T13:02:15.621Z","grant_id":null,"is_lead":true,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5482,"fairsharing_record_id":322,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:28.829Z","updated_at":"2021-09-30T09:27:28.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"323","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:28:57.284Z","metadata":{"doi":"10.25504/FAIRsharing.9c2azc","name":"OBO ReLationship","status":"deprecated","contacts":[{"contact_email":"cjmungall@lbl.gov"}],"homepage":"http://purl.bioontology.org/ontology/OBO_REL","citations":[],"identifier":323,"description":"This record describes the original relations ontology (ID space \"OBO_REL\"), which was a direct translation of the 2005 RO paper into OBO format. It suffered a number of problems, such as lack of clarity in the semantics of class level relations. The OBO Relations Ontology (RO) has replaced this resource, and a description of how the two resources differ can be found at https://github.com/oborel/obo-relations/wiki/DifferencesWithOldRO.","abbreviation":"OBO_REL","support_links":[{"url":"https://github.com/oborel/obo-relations/","type":"Github"}],"year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBOREL","name":"OBOREL","portal":"BioPortal"}],"deprecation_date":"2016-03-22","deprecation_reason":"This resource is obsolete and has been replaced by the OBO Relations Ontology (https://biosharing.org/bsg-000644)."},"legacy_ids":["bsg-000144","bsg-s000144"],"name":"FAIRsharing record for: OBO ReLationship","abbreviation":"OBO_REL","url":"https://fairsharing.org/10.25504/FAIRsharing.9c2azc","doi":"10.25504/FAIRsharing.9c2azc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This record describes the original relations ontology (ID space \"OBO_REL\"), which was a direct translation of the 2005 RO paper into OBO format. It suffered a number of problems, such as lack of clarity in the semantics of class level relations. The OBO Relations Ontology (RO) has replaced this resource, and a description of how the two resources differ can be found at https://github.com/oborel/obo-relations/wiki/DifferencesWithOldRO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Relations"],"countries":["United States"],"publications":[{"id":979,"pubmed_id":15892874,"title":"Relations in biomedical ontologies.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r46","authors":"Smith B,Ceusters W,Klagges B,Kohler J,Kumar A,Lomax J,Mungall C,Neuhaus F,Rector AL,Rosse C","journal":"Genome Biol","doi":"10.1186/gb-2005-6-5-r46","created_at":"2021-09-30T08:24:08.346Z","updated_at":"2021-09-30T08:24:08.346Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"324","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T08:55:01.211Z","metadata":{"doi":"10.25504/FAIRsharing.9d08ks","name":"NeuroMorpho.Org brain region ontologies","status":"ready","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/NMOBR","citations":[],"identifier":324,"description":"The NeuroMorpho.Org brain region ontologies adopts and integrates relevant portions of available taxonomies (or lineages) \"as needed\" based on the existing knowledge that is openly accessible. For standardization purposes, cell types and other experimental metadata hierarchies are also added to OntoSearch v2.0. Concepts with insufficient knowledge are not classified as hierarchies, such as molecular, firing, and \"other\" unclassifiable properties of cell types. The species, brain regions and cell types are integrated into a single ontology for enabling OntoSearch functionality to mine NeuroMorpho.Org.","abbreviation":"NMOBR","support_links":[{"url":"https://neuromorpho.org/myfaq.jsp?id=qb15#QS2","name":"General Information about the ontology and OntoSearch","type":"Help documentation"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NMOBR","name":"NMOBR","portal":"BioPortal"}]},"legacy_ids":["bsg-000879","bsg-s000879"],"name":"FAIRsharing record for: NeuroMorpho.Org brain region ontologies","abbreviation":"NMOBR","url":"https://fairsharing.org/10.25504/FAIRsharing.9d08ks","doi":"10.25504/FAIRsharing.9d08ks","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NeuroMorpho.Org brain region ontologies adopts and integrates relevant portions of available taxonomies (or lineages) \"as needed\" based on the existing knowledge that is openly accessible. For standardization purposes, cell types and other experimental metadata hierarchies are also added to OntoSearch v2.0. Concepts with insufficient knowledge are not classified as hierarchies, such as molecular, firing, and \"other\" unclassifiable properties of cell types. The species, brain regions and cell types are integrated into a single ontology for enabling OntoSearch functionality to mine NeuroMorpho.Org.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Neuroscience","Neuroscience"],"domains":[],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NeuroMorpho Terms of Use","licence_id":572,"licence_url":"http://neuromorpho.org/useterm.jsp","link_id":2736,"relation":"applies_to_content"}],"grants":[{"id":9682,"fairsharing_record_id":324,"organisation_id":1648,"relation":"maintains","created_at":"2022-07-20T07:22:23.375Z","updated_at":"2022-07-20T07:22:23.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":1648,"name":"Krasnow Institute for Advanced Study, Fairfax, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9684,"fairsharing_record_id":324,"organisation_id":2045,"relation":"funds","created_at":"2022-07-20T07:22:23.420Z","updated_at":"2022-07-20T07:22:23.420Z","grant_id":543,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"R01 NS39600","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9686,"fairsharing_record_id":324,"organisation_id":2229,"relation":"funds","created_at":"2022-07-20T07:22:23.460Z","updated_at":"2022-07-20T07:22:23.460Z","grant_id":254,"is_lead":false,"saved_state":{"id":2229,"name":"Office of Naval Research","grant":"ONR MURI N00014-10-1-0198","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9689,"fairsharing_record_id":324,"organisation_id":2806,"relation":"funds","created_at":"2022-07-20T07:22:23.500Z","updated_at":"2022-07-20T07:22:23.500Z","grant_id":955,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","grant":"Keck NAKFI","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9683,"fairsharing_record_id":324,"organisation_id":1128,"relation":"maintains","created_at":"2022-07-20T07:22:23.383Z","updated_at":"2022-07-20T07:22:23.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":1128,"name":"George Mason University, Fairfax, VA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9685,"fairsharing_record_id":324,"organisation_id":2045,"relation":"funds","created_at":"2022-07-20T07:22:23.424Z","updated_at":"2022-07-20T07:22:23.424Z","grant_id":1486,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"R01 NS086082","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9688,"fairsharing_record_id":324,"organisation_id":2806,"relation":"maintains","created_at":"2022-07-20T07:22:23.469Z","updated_at":"2022-07-20T07:22:23.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9687,"fairsharing_record_id":324,"organisation_id":2071,"relation":"funds","created_at":"2022-07-20T07:22:23.466Z","updated_at":"2022-07-20T07:22:23.466Z","grant_id":1738,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"NSF DBI 1546335 (BRAIN EAGER)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"325","type":"fairsharing_records","attributes":{"created_at":"2017-07-26T14:01:57.000Z","updated_at":"2024-05-20T08:31:41.911Z","metadata":{"doi":"10.25504/FAIRsharing.w4g3sj","name":"Space Physics Archive Search and Extract Data Model","status":"ready","contacts":[{"contact_name":"Metadata Working Group Contact","contact_email":"vxo-spase-smwg@googlegroups.com"}],"homepage":"http://www.spase-group.org/data/","identifier":325,"description":"An exclusive set of resource types which can be used to describe all the resources in a heliophysics data environment, the data along with its scientific context, source, provenance, content and location. It is designed to support a federated data system where data may reside at different locations and may be seperated from the metadata which describes it. While the data model is neutral on how to it may be expressed, the preferred expression form is XML","abbreviation":"SPASE Data Model","support_links":[{"url":"spase@listserv.gsfc.nasa.gov","name":"Mailing list","type":"Mailing list"},{"url":"http://www.spase-group.org/school/","name":"SPASE Tutorials","type":"Training documentation"},{"url":"https://twitter.com/SPASEOutreach","name":"Twitter","type":"Twitter"}],"year_creation":2005},"legacy_ids":["bsg-000714","bsg-s000714"],"name":"FAIRsharing record for: Space Physics Archive Search and Extract Data Model","abbreviation":"SPASE Data Model","url":"https://fairsharing.org/10.25504/FAIRsharing.w4g3sj","doi":"10.25504/FAIRsharing.w4g3sj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An exclusive set of resource types which can be used to describe all the resources in a heliophysics data environment, the data along with its scientific context, source, provenance, content and location. It is designed to support a federated data system where data may reside at different locations and may be seperated from the metadata which describes it. While the data model is neutral on how to it may be expressed, the preferred expression form is XML","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13320},{"linking_record_name":"International Heliophysics Data Environment Alliance","linking_record_id":5484,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19836}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Resource metadata","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5484,"fairsharing_record_id":325,"organisation_id":2606,"relation":"maintains","created_at":"2021-09-30T09:27:28.909Z","updated_at":"2021-09-30T09:27:28.909Z","grant_id":null,"is_lead":true,"saved_state":{"id":2606,"name":"Space Physics Archive Search and Extract (SPASE) Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"328","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:12:26.000Z","updated_at":"2024-03-21T16:13:44.220Z","metadata":{"doi":"10.25504/FAIRsharing.2Rk97G","name":"IDG Peptide Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":328,"description":"Peptide probe reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001226","bsg-s001226"],"name":"FAIRsharing record for: IDG Peptide Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2Rk97G","doi":"10.25504/FAIRsharing.2Rk97G","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Peptide probe reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11701}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11560,"fairsharing_record_id":328,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.015Z","updated_at":"2024-03-21T13:58:57.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11617,"fairsharing_record_id":328,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:10:06.662Z","updated_at":"2024-03-21T16:10:06.662Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZzhFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--81d6af631121313baed3ddac143f1846c72b8739/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"301","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:08.248Z","metadata":{"doi":"10.25504/FAIRsharing.21d998","name":"European Data Format","status":"ready","contacts":[{"contact_name":"Diego Alvarez-Estevez","contact_email":"diego.alvareze@udc.es"}],"homepage":"http://www.edfplus.info/specs/edf.html","identifier":301,"description":"The European Data Format (EDF) is a simple and flexible format for exchange and storage of multichannel biological and physical signals. More information http://www.edfplus.info","abbreviation":"EDF","support_links":[{"url":"http://www.edfplus.info/specs/edffaq.html","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1991,"associated_tools":[{"url":"http://www.edfplus.info/downloads/index.html","name":"Polyman"}]},"legacy_ids":["bsg-000528","bsg-s000528"],"name":"FAIRsharing record for: European Data Format","abbreviation":"EDF","url":"https://fairsharing.org/10.25504/FAIRsharing.21d998","doi":"10.25504/FAIRsharing.21d998","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Data Format (EDF) is a simple and flexible format for exchange and storage of multichannel biological and physical signals. More information http://www.edfplus.info","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16946}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology","Life Science","Electrophysiology"],"domains":["Polysomnography"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":254,"pubmed_id":1374708,"title":"A simple format for exchange of digitized polygraphic recordings.","year":1992,"url":"http://doi.org/10.1016/0013-4694(92)90009-7","authors":"Kemp B, Värri A, Rosa AC, Nielsen KD, Gade J.","journal":"Electroencephalogr Clin Neurophysiol.","doi":"10.1016/0013-4694(92)90009-7","created_at":"2021-09-30T08:22:47.440Z","updated_at":"2021-09-30T08:22:47.440Z"},{"id":1379,"pubmed_id":12948806,"title":"European data format 'plus' (EDF+), an EDF alike standard format for the exchange of physiological data.","year":2003,"url":"http://doi.org/10.1016/s1388-2457(03)00123-8","authors":"Kemp B,Olivan J","journal":"Clin Neurophysiol","doi":"10.1016/s1388-2457(03)00123-8","created_at":"2021-09-30T08:24:54.226Z","updated_at":"2021-09-30T08:24:54.226Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"302","type":"fairsharing_records","attributes":{"created_at":"2018-11-09T15:50:55.000Z","updated_at":"2021-11-24T13:18:33.108Z","metadata":{"doi":"10.25504/FAIRsharing.ZFdYEf","name":"biotracks","status":"ready","contacts":[{"contact_name":"Alejandra Gonzalez-Beltran","contact_email":"alejandra.gonzalez.beltran@gmail.com","contact_orcid":"0000-0003-3499-8262"}],"homepage":"https://github.com/CellMigStandOrg/biotracks","identifier":302,"description":"Biotracks provides a standard format for cell migration tracking files and a series of converters from popular tracking sofware packages to the biotracks format, which is a specialization of the Frictionless Tabular Data Package .","abbreviation":"biotracks","year_creation":2017},"legacy_ids":["bsg-001335","bsg-s001335"],"name":"FAIRsharing record for: biotracks","abbreviation":"biotracks","url":"https://fairsharing.org/10.25504/FAIRsharing.ZFdYEf","doi":"10.25504/FAIRsharing.ZFdYEf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biotracks provides a standard format for cell migration tracking files and a series of converters from popular tracking sofware packages to the biotracks format, which is a specialization of the Frictionless Tabular Data Package .","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10889}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Cell migration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5452,"fairsharing_record_id":302,"organisation_id":396,"relation":"maintains","created_at":"2021-09-30T09:27:27.953Z","updated_at":"2021-09-30T09:27:27.953Z","grant_id":null,"is_lead":true,"saved_state":{"id":396,"name":"Cell Migration Standardisation Organisation (CMSO) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"303","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-20T09:01:24.460Z","metadata":{"doi":"10.25504/FAIRsharing.r41qhx","name":"Unified phenotype ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"},{"contact_name":"Nicole Vasilevsky","contact_email":"vasilevs@ohsu.edu","contact_orcid":null}],"homepage":"https://github.com/obophenotype/upheno","citations":[],"identifier":303,"description":"The uPheno ontology integrates multiple phenotype ontologies into a unified cross-species phenotype ontology. Version 2 is the active release of the ontology, while version 1 should be considered deprecated. ","abbreviation":"UPHENO","support_links":[],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UPHENO","name":"UPHENO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/upheno","name":"uPheno (OLS)","portal":"OLS"},{"url":"https://obofoundry.org/ontology/upheno.html","name":"uPheno (OBO Foundry)","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000984","bsg-s000984"],"name":"FAIRsharing record for: Unified phenotype ontology","abbreviation":"UPHENO","url":"https://fairsharing.org/10.25504/FAIRsharing.r41qhx","doi":"10.25504/FAIRsharing.r41qhx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The uPheno ontology integrates multiple phenotype ontologies into a unified cross-species phenotype ontology. Version 2 is the active release of the ontology, while version 1 should be considered deprecated. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Evolutionary Biology","Phenomics"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2730,"relation":"applies_to_content"}],"grants":[{"id":9676,"fairsharing_record_id":303,"organisation_id":3596,"relation":"maintains","created_at":"2022-07-15T14:02:27.006Z","updated_at":"2022-07-15T14:02:27.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":3596,"name":"Translational and Integrative Science Lab (TIS Lab), University of Colorado School of Medicine","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa01CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3f5258d2bcf30a7e127b5a9fe209b27e25e88883/up.png?disposition=inline","exhaustive_licences":false}},{"id":"304","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2021-11-24T13:17:00.202Z","metadata":{"doi":"10.25504/FAIRsharing.cakne1","name":"NIDM-Results","status":"ready","contacts":[{"contact_name":"NIDM development team","contact_email":"incf-nidash-nidm@googlegroups.com"}],"homepage":"http://nidm.nidash.org/specs/nidm-results.html","identifier":304,"description":"NIDM-Results is a data model that enable sharing neuroimaging results using a common descriptive standard across neuroimaging software. NIDM-Results focuses on mass-univariate studies and is mostly targeted at fMRI but is also suitable for anatomical MRI (with Voxel-Based Morphometry), and Positron Emission Tomography (PET). NIDM-Results packs provide a lightweight solution to share maps generated by neuroimaging studies along with their metadata. Export to NIDM-Results is natively implemented in SPM, NeuroVault and CBRAIN and a Python library is ready for integration in FSL. NeuroVault additionally can import NIDM-Results packs.","abbreviation":"NIDM-Results","support_links":[{"url":"info@incf.org","name":"INCF Contact","type":"Support email"},{"url":"camille.maumet@inria.fr","name":"Camille Maumet","type":"Support email"},{"url":"http://nidm.nidash.org/getting-started/","name":"Getting Started","type":"Help documentation"},{"url":"incf-nidash-nidm@googlegroups.com","name":"INCF NIDASH mailing list","type":"Mailing list"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIDM-RESULTS","name":"NIDM-RESULTS","portal":"BioPortal"}]},"legacy_ids":["bsg-000929","bsg-s000929"],"name":"FAIRsharing record for: NIDM-Results","abbreviation":"NIDM-Results","url":"https://fairsharing.org/10.25504/FAIRsharing.cakne1","doi":"10.25504/FAIRsharing.cakne1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIDM-Results is a data model that enable sharing neuroimaging results using a common descriptive standard across neuroimaging software. NIDM-Results focuses on mass-univariate studies and is mostly targeted at fMRI but is also suitable for anatomical MRI (with Voxel-Based Morphometry), and Positron Emission Tomography (PET). NIDM-Results packs provide a lightweight solution to share maps generated by neuroimaging studies along with their metadata. Export to NIDM-Results is natively implemented in SPM, NeuroVault and CBRAIN and a Python library is ready for integration in FSL. NeuroVault additionally can import NIDM-Results packs.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12525}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Computational Neuroscience","Neurology"],"domains":["Magnetic resonance imaging","Positron emission tomography","Functional magnetic resonance imaging","Brain","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2306,"relation":"undefined"}],"grants":[{"id":5453,"fairsharing_record_id":304,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:27:27.995Z","updated_at":"2021-09-30T09:27:27.995Z","grant_id":null,"is_lead":true,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"305","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2022-07-15T14:22:29.682Z","metadata":{"doi":"10.25504/FAIRsharing.7rmkwr","name":"Emergency care ontology","status":"deprecated","contacts":[{"contact_name":"Jean Charlet","contact_email":"Jean.Charlet@upmc.fr"}],"homepage":"https://bioportal.bioontology.org/ontologies/ONTOLURGENCES","citations":[],"identifier":305,"description":"OntolUrgences is a termino-ontological resource developed to index and retrieve information in electronic Emergency Medical Record.","abbreviation":"ONTOLURGENCES","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOLURGENCES","name":"ONTOLURGENCES","portal":"BioPortal"}],"deprecation_date":"2022-07-15","deprecation_reason":"This resource has not been updated since 2015, and no further information can be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000986","bsg-s000986"],"name":"FAIRsharing record for: Emergency care ontology","abbreviation":"ONTOLURGENCES","url":"https://fairsharing.org/10.25504/FAIRsharing.7rmkwr","doi":"10.25504/FAIRsharing.7rmkwr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntolUrgences is a termino-ontological resource developed to index and retrieve information in electronic Emergency Medical Record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3477,"pubmed_id":25160343,"title":"Describing localized diseases in medical ontology: an FMA-based algorithm.","year":2014,"url":"https://pubmed.ncbi.nlm.nih.gov/25160343","authors":"Charlet J, Mazuel L, Declerck G, Miroux P, Gayet P","journal":"Studies in health technology and informatics","doi":null,"created_at":"2022-07-15T14:15:15.250Z","updated_at":"2022-07-15T14:15:15.250Z"}],"licence_links":[],"grants":[{"id":9678,"fairsharing_record_id":305,"organisation_id":3598,"relation":"maintains","created_at":"2022-07-15T14:21:05.109Z","updated_at":"2022-07-15T14:21:05.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":3598,"name":"Assistance Publique - Hôpitaux de Paris","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"317","type":"fairsharing_records","attributes":{"created_at":"2021-05-24T17:19:41.000Z","updated_at":"2023-10-21T13:34:01.288Z","metadata":{"doi":"10.25504/FAIRsharing.f928f1","name":"Archival Resource Key Identifier","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@arks.org"}],"homepage":"https://arks.org/","citations":[],"identifier":317,"description":"Archival Resource Keys (ARKs) serve as persistent identifiers, or stable, trusted references for information objects. Among other things, they aim to be web addresses (URLs) that don’t return 404 Page Not Found errors. The ARK Alliance is an open global community supporting the ARK infrastructure on behalf of research and scholarship. End users, especially researchers, rely on ARKs for long term access to the global scientific and cultural record. Since 2001 some 8.2 billion ARKs have been created by over 1000 organizations — libraries, data centers, archives, museums, publishers, government agencies, and vendors. They identify anything digital, physical, or abstract. ARKs are open, mainstream, non-paywalled, decentralized persistent identifiers that can be created by an organization as soon as it is registered with a NAAN (Name Assigning Authority Number). Once registered, an ARK organization can create unlimited numbers of ARKs and publicize them via the n2t.net global resolver or via their own local resolver.","abbreviation":"ARK Identifier","support_links":[{"url":"https://arks.org/blog/","name":"News","type":"Blog/News"},{"url":"https://arks.org/contact-us/","name":"Contact Form","type":"Contact form"},{"url":"https://wiki.lyrasis.org/display/ARKs/ARK+Identifiers+FAQ","name":"ARK FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://arks.org/resources/","name":"Resources","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/ARKs/ARKs+in+the+Open+Project","name":"ARK Wiki Pages","type":"Help documentation"},{"url":"https://twitter.com/arks_org","name":"@arks_org","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Archival_Resource_Key","name":"ARK Wikipedia Entry","type":"Wikipedia"}],"year_creation":2001,"cross_references":[{"url":"https://bioregistry.io/registry/ark","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/ark","name":"Identifiers.org","portal":"Other"}],"regular_expression":"^(ark\\:)/*[0-9A-Za-z]+(?:/[\\w/.=*+@\\$-]*)?(?:\\?.*)?$"},"legacy_ids":["bsg-001608","bsg-s001608"],"name":"FAIRsharing record for: Archival Resource Key Identifier","abbreviation":"ARK Identifier","url":"https://fairsharing.org/10.25504/FAIRsharing.f928f1","doi":"10.25504/FAIRsharing.f928f1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Archival Resource Keys (ARKs) serve as persistent identifiers, or stable, trusted references for information objects. Among other things, they aim to be web addresses (URLs) that don’t return 404 Page Not Found errors. The ARK Alliance is an open global community supporting the ARK infrastructure on behalf of research and scholarship. End users, especially researchers, rely on ARKs for long term access to the global scientific and cultural record. Since 2001 some 8.2 billion ARKs have been created by over 1000 organizations — libraries, data centers, archives, museums, publishers, government agencies, and vendors. They identify anything digital, physical, or abstract. ARKs are open, mainstream, non-paywalled, decentralized persistent identifiers that can be created by an organization as soon as it is registered with a NAAN (Name Assigning Authority Number). Once registered, an ARK organization can create unlimited numbers of ARKs and publicize them via the n2t.net global resolver or via their own local resolver.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Data Management","Subject Agnostic"],"domains":["Data retrieval","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5474,"fairsharing_record_id":317,"organisation_id":2743,"relation":"maintains","created_at":"2021-09-30T09:27:28.614Z","updated_at":"2021-09-30T09:27:28.614Z","grant_id":null,"is_lead":true,"saved_state":{"id":2743,"name":"The ARK Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaThDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c69281eac0647c6b7a664f0932bee0d5fd27781d/gold_boat_arka.png?disposition=inline","exhaustive_licences":false}},{"id":"318","type":"fairsharing_records","attributes":{"created_at":"2017-05-08T22:06:31.000Z","updated_at":"2021-11-24T13:14:18.604Z","metadata":{"doi":"10.25504/FAIRsharing.v39er7","name":"Apollo XSD 4.0.1","status":"ready","contacts":[{"contact_name":"Michael Wagner","contact_email":"mmw1@pitt.edu","contact_orcid":"0000-0002-4437-7016"}],"homepage":"https://github.com/ApolloDev/apollo-xsd-and-types","identifier":318,"description":"This XML Schema Definition (XSD) contains types for representing infectious disease scenarios for simulation (with and without control measures); diverse kinds of information about epidemics including case count data, seroprevalence study results, infectious disease control measures, disease parameters and infection transmission parameters; and case series.","abbreviation":"Apollo XSD","year_creation":2017},"legacy_ids":["bsg-000701","bsg-s000701"],"name":"FAIRsharing record for: Apollo XSD 4.0.1","abbreviation":"Apollo XSD","url":"https://fairsharing.org/10.25504/FAIRsharing.v39er7","doi":"10.25504/FAIRsharing.v39er7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This XML Schema Definition (XSD) contains types for representing infectious disease scenarios for simulation (with and without control measures); diverse kinds of information about epidemics including case count data, seroprevalence study results, infectious disease control measures, disease parameters and infection transmission parameters; and case series.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12515}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Biomedical Science","Epidemiology"],"domains":["Infection","Disease course"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":9,"relation":"undefined"}],"grants":[{"id":5475,"fairsharing_record_id":318,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:28.640Z","updated_at":"2021-09-30T09:30:00.667Z","grant_id":511,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U24GM110707","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"319","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T15:03:02.232Z","metadata":{"doi":"10.25504/FAIRsharing.vy0p71","name":"NanoParticle Ontology","status":"ready","contacts":[{"contact_name":"Nathan Baker","contact_email":"nathan.baker@pnl.gov","contact_orcid":"0000-0002-5892-6506"}],"homepage":"http://www.nano-ontology.org","identifier":319,"description":"An ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy.","abbreviation":"NPO","support_links":[{"url":"http://www.nano-ontology.org/documentation/frequently-asked-questions","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.nano-ontology.org/documentation","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-002634","bsg-s002634"],"name":"FAIRsharing record for: NanoParticle Ontology","abbreviation":"NPO","url":"https://fairsharing.org/10.25504/FAIRsharing.vy0p71","doi":"10.25504/FAIRsharing.vy0p71","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16998}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Molecular entity","Nanoparticle","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1744,"pubmed_id":20211274,"title":"NanoParticle Ontology for cancer nanotechnology research.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.03.001","authors":"Thomas DG,Pappu RV,Baker NA","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.03.001","created_at":"2021-09-30T08:25:35.713Z","updated_at":"2021-09-30T08:25:35.713Z"}],"licence_links":[],"grants":[{"id":5478,"fairsharing_record_id":319,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:28.723Z","updated_at":"2021-09-30T09:27:28.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8335,"fairsharing_record_id":319,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:09.366Z","updated_at":"2021-09-30T09:32:09.460Z","grant_id":1493,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5476,"fairsharing_record_id":319,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:28.672Z","updated_at":"2021-09-30T09:30:35.437Z","grant_id":778,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U54 CA119342","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11855,"fairsharing_record_id":319,"organisation_id":4426,"relation":"maintains","created_at":"2024-06-27T13:55:02.805Z","updated_at":"2024-06-27T13:55:02.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":4426,"name":"Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"314","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-15T09:49:53.999Z","metadata":{"doi":"10.25504/FAIRsharing.4vr0ys","name":"Fission Yeast Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Valerie Wood","contact_email":"vw253@cam.ac.uk","contact_orcid":"0000-0001-6330-7526"}],"homepage":"http://sourceforge.net/apps/trac/pombase/wiki/FissionYeastPhenotypeOntology","citations":[],"identifier":314,"description":"FYPO is being developed to support the comprehensive and detailed representation of phenotypes in PomBase, the online fission yeast resource (www.pombase.org). Its scope is similar to that of the Ascomycete Phenotype Ontology (APO), but FYPO includes more detailed pre-composed terms as well as computable definitions.","abbreviation":"FYPO","support_links":[{"url":"helpdesk@pombase.org","name":"General Enquiries","type":"Support email"},{"url":"http://www.pombase.org/browse-curation/fission-yeast-phenotype-ontology","type":"Help documentation"},{"url":"https://curation.pombase.org/pombase-trac/wiki/FissionYeastPhenotypeOntology","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FYPO","name":"FYPO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fypo.html","name":"fypo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000291","bsg-s000291"],"name":"FAIRsharing record for: Fission Yeast Phenotype Ontology","abbreviation":"FYPO","url":"https://fairsharing.org/10.25504/FAIRsharing.4vr0ys","doi":"10.25504/FAIRsharing.4vr0ys","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FYPO is being developed to support the comprehensive and detailed representation of phenotypes in PomBase, the online fission yeast resource (www.pombase.org). Its scope is similar to that of the Ascomycete Phenotype Ontology (APO), but FYPO includes more detailed pre-composed terms as well as computable definitions.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10888}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phylogenetics","Life Science"],"domains":["Gene Ontology enrichment","Phenotype"],"taxonomies":["Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1134,"pubmed_id":23658422,"title":"FYPO: the fission yeast phenotype ontology.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt266","authors":"Harris MA,Lock A,Bahler J,Oliver SG,Wood V","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt266","created_at":"2021-09-30T08:24:25.823Z","updated_at":"2021-09-30T08:24:25.823Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1614,"relation":"undefined"}],"grants":[{"id":5468,"fairsharing_record_id":314,"organisation_id":2345,"relation":"maintains","created_at":"2021-09-30T09:27:28.464Z","updated_at":"2021-09-30T09:27:28.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":2345,"name":"Pombase","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5469,"fairsharing_record_id":314,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:28.490Z","updated_at":"2021-09-30T09:27:28.490Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5467,"fairsharing_record_id":314,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:28.440Z","updated_at":"2021-09-30T09:32:42.679Z","grant_id":1743,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT090548MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"315","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:55.178Z","metadata":{"doi":"10.25504/FAIRsharing.jj4n9f","name":"Solanaceae Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Naama Menda","contact_email":"nm249@cornell.edu","contact_orcid":"0000-0002-9117-8116"}],"homepage":"https://solgenomics.net/search/phenotypes/traits","citations":[],"identifier":315,"description":"Solanaceae crop phenotypes and traits, developed in collaboration with the research community, especially for breeder traits of agronomic importance.","abbreviation":"SPTO","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SPTO","name":"SPTO","portal":"BioPortal"}]},"legacy_ids":["bsg-002799","bsg-s002799"],"name":"FAIRsharing record for: Solanaceae Phenotype Ontology","abbreviation":"SPTO","url":"https://fairsharing.org/10.25504/FAIRsharing.jj4n9f","doi":"10.25504/FAIRsharing.jj4n9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Solanaceae crop phenotypes and traits, developed in collaboration with the research community, especially for breeder traits of agronomic importance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Genomics","Genetics","Phenomics"],"domains":["Phenotype","Genotype"],"taxonomies":["Solanaceae"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United States"],"publications":[{"id":901,"pubmed_id":18539779,"title":"A community-based annotation framework for linking solanaceae genomes with phenomes.","year":2008,"url":"http://doi.org/10.1104/pp.108.119560","authors":"Menda N,Buels RM,Tecle I,Mueller LA","journal":"Plant Physiol","doi":"10.1104/pp.108.119560","created_at":"2021-09-30T08:23:59.537Z","updated_at":"2021-09-30T08:23:59.537Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":340,"relation":"undefined"}],"grants":[{"id":5471,"fairsharing_record_id":315,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:28.540Z","updated_at":"2021-09-30T09:30:20.880Z","grant_id":668,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"2007–02777","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5472,"fairsharing_record_id":315,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:27:28.565Z","updated_at":"2021-09-30T09:27:28.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5470,"fairsharing_record_id":315,"organisation_id":3172,"relation":"funds","created_at":"2021-09-30T09:27:28.514Z","updated_at":"2021-09-30T09:29:21.694Z","grant_id":212,"is_lead":false,"saved_state":{"id":3172,"name":"US-Israel Binational Agriculture Research and Development Fund (BARD)","grant":"FI–370–2005","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"316","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2021-11-24T13:13:51.237Z","metadata":{"doi":"10.25504/FAIRsharing.qdcgfc","name":"Ontology of Pneumology","status":"uncertain","contacts":[{"contact_name":"Jean Charlet","contact_email":"jean.charlet@upmc.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOPNEUMO","identifier":316,"description":"OntoPneumo is an ontology for describing pneumology (french version). Their goal is to use natural language within the ontology to express the meaning of each concept using differential principles inherited from Differential Semantics theory. OntoPneumo is used in software for pneumologists that represents medical knowledge to describe the medical diagnoses in the form of graphs and to propose the proper French DRG (Diagnosis Related Group) code.","abbreviation":"OntoPneumo","support_links":[{"url":"Audrey.Baneyx@spim.jussieu.fr","name":"Audrey Baneyx","type":"Support email"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOPNEUMO","name":"ONTOPNEUMO","portal":"BioPortal"}]},"legacy_ids":["bsg-000927","bsg-s000927"],"name":"FAIRsharing record for: Ontology of Pneumology","abbreviation":"OntoPneumo","url":"https://fairsharing.org/10.25504/FAIRsharing.qdcgfc","doi":"10.25504/FAIRsharing.qdcgfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoPneumo is an ontology for describing pneumology (french version). Their goal is to use natural language within the ontology to express the meaning of each concept using differential principles inherited from Differential Semantics theory. OntoPneumo is used in software for pneumologists that represents medical knowledge to describe the medical diagnoses in the form of graphs and to propose the proper French DRG (Diagnosis Related Group) code.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":["Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":956,"pubmed_id":null,"title":"OntoPneumo: An ontology of pneumology domain","year":2008,"url":"http://doi.org/10.3233/AO-2008-0056","authors":"Baneyx, Audrey; Charlet, Jean","journal":"Applied Ontology, vol. 3, no. 4, pp. 229-233","doi":"10.3233/AO-2008-0056","created_at":"2021-09-30T08:24:05.747Z","updated_at":"2021-09-30T08:24:05.747Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.0 UK: England \u0026 Wales (CC BY-NC-ND 2.0 UK)","licence_id":174,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.0/uk/","link_id":1285,"relation":"undefined"}],"grants":[{"id":5473,"fairsharing_record_id":316,"organisation_id":2595,"relation":"maintains","created_at":"2021-09-30T09:27:28.590Z","updated_at":"2021-09-30T09:27:28.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":2595,"name":"Sorbonne University, Paris, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"320","type":"fairsharing_records","attributes":{"created_at":"2016-03-22T12:06:52.000Z","updated_at":"2022-07-20T11:56:34.145Z","metadata":{"doi":"10.25504/FAIRsharing.9w8ea0","name":"OBO Relations Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":"0000-0002-6601-2165"}],"homepage":"https://github.com/oborel/obo-relations/","identifier":320,"description":"RO is a collection of relations intended primarily for standardization across ontologies in the OBO Foundry and wider OBO library. It incorporates ROCore upper-level relations such as part of as well as biology-specific relationship types such as develops from. The predecessor of RO was OBO_REL. Many of the relations in OBO_REL have been ceded to BFO.","abbreviation":"RO","support_links":[{"url":"https://github.com/oborel/obo-relations/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://lists.sourceforge.net/lists/listinfo/obo-relations","name":"Mailing list","type":"Mailing list"},{"url":"https://github.com/oborel/obo-relations/wiki/DifferencesWithOldRO","name":"Differences with Previous Versions","type":"Github"},{"url":"https://github.com/oborel/obo-relations/wiki/ROAndBFO","name":"RO and BFO","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RO","name":"RO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ro.html","name":"ro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000644","bsg-s000644"],"name":"FAIRsharing record for: OBO Relations Ontology","abbreviation":"RO","url":"https://fairsharing.org/10.25504/FAIRsharing.9w8ea0","doi":"10.25504/FAIRsharing.9w8ea0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RO is a collection of relations intended primarily for standardization across ontologies in the OBO Foundry and wider OBO library. It incorporates ROCore upper-level relations such as part of as well as biology-specific relationship types such as develops from. The predecessor of RO was OBO_REL. Many of the relations in OBO_REL have been ceded to BFO.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12122}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Relations"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1751,"relation":"undefined"}],"grants":[{"id":5479,"fairsharing_record_id":320,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:28.749Z","updated_at":"2021-09-30T09:27:28.749Z","grant_id":null,"is_lead":true,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5480,"fairsharing_record_id":320,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:28.773Z","updated_at":"2021-09-30T09:27:28.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"321","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:14:38.000Z","updated_at":"2024-03-21T16:14:00.864Z","metadata":{"doi":"10.25504/FAIRsharing.LaaxUg","name":"IDG Small Molecule Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":321,"description":"Small molecule perturbagen reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001227","bsg-s001227"],"name":"FAIRsharing record for: IDG Small Molecule Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LaaxUg","doi":"10.25504/FAIRsharing.LaaxUg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Small molecule perturbagen reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11702}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11538,"fairsharing_record_id":321,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:10.787Z","updated_at":"2024-03-21T13:58:10.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11621,"fairsharing_record_id":321,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:11:50.522Z","updated_at":"2024-03-21T16:11:50.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaE1FIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b6a9d09ab610d2947259b4428cbd7d29c9daae8d/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"329","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-17T09:29:41.477Z","metadata":{"doi":"10.25504/FAIRsharing.t58zhj","name":"Animals in Research: Reporting In Vivo Experiments","status":"ready","contacts":[{"contact_name":"Nathalie Percie du Sert","contact_email":"nathalie.perciedusert@nc3rs.org.uk"}],"homepage":"https://arriveguidelines.org/arrive-guidelines","citations":[{"doi":"10.1371/journal.pbio.1000412","pubmed_id":20613859,"publication_id":841}],"identifier":329,"description":"The ARRIVE (Animal Research: Reporting In Vivo Experiments) guidelines are intended to improve the reporting of research using animals - maximising information published and minimising unnecessary studies. The ARRIVE guidelines were developed in consultation with the scientific community as part of an NC3Rs initiative to improve the standard of reporting of research using animals. They are available in Chinese (Mandarin), French, Italian, Japanese, Korean, Portuguese (including Brazilian Portuguese) and Spanish as well as the original English.","abbreviation":"ARRIVE","support_links":[{"url":"enquiries@nc3rs.org.uk","type":"Support email"},{"url":"https://www.labroots.com/webinar/keynote-the-arrive-guidelines-improving-the-design-and-reporting-of-animal-research-to-optimize-the-reproducibility-of-animal-studies","name":"Webinar","type":"Video"},{"url":"https://www.nc3rs.org.uk/sites/default/files/documents/Guidelines/ARRIVE%20powerpoint%20Oct%202014.pdf","name":"Presentation","type":"Help documentation"},{"url":"http://www.nc3rs.org.uk/arrive-guidelines","name":"NC3RS ARRIVE Homepage","type":"Other"}],"year_creation":2010},"legacy_ids":["bsg-000035","bsg-s000035"],"name":"FAIRsharing record for: Animals in Research: Reporting In Vivo Experiments","abbreviation":"ARRIVE","url":"https://fairsharing.org/10.25504/FAIRsharing.t58zhj","doi":"10.25504/FAIRsharing.t58zhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ARRIVE (Animal Research: Reporting In Vivo Experiments) guidelines are intended to improve the reporting of research using animals - maximising information published and minimising unnecessary studies. The ARRIVE guidelines were developed in consultation with the scientific community as part of an NC3Rs initiative to improve the standard of reporting of research using animals. They are available in Chinese (Mandarin), French, Italian, Japanese, Korean, Portuguese (including Brazilian Portuguese) and Spanish as well as the original English.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Animal research","In vivo design"],"taxonomies":["Animalia","Metazoa"],"user_defined_tags":[],"countries":["Australia","Belgium","Canada","Switzerland","United Kingdom","United States"],"publications":[{"id":813,"pubmed_id":19956596,"title":"Survey of the quality of experimental design, statistical analysis and reporting of research using animals","year":2009,"url":"http://doi.org/10.1371/journal.pone.0007824","authors":"Kilkenny C, Parsons N, Kadyszewski E, Festing MF, Cuthill IC, Fry D, Hutton J, Altman DG","journal":"PLoS One","doi":"10.1371/journal.pone.0007824","created_at":"2021-09-30T08:23:49.697Z","updated_at":"2021-09-30T08:23:49.697Z"},{"id":841,"pubmed_id":20613859,"title":"Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research.","year":2010,"url":"http://doi.org/10.1371/journal.pbio.1000412","authors":"Kilkenny C,Browne WJ,Cuthill IC,Emerson M,Altman DG","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1000412","created_at":"2021-09-30T08:23:52.829Z","updated_at":"2021-09-30T08:23:52.829Z"},{"id":4133,"pubmed_id":null,"title":"Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0","year":2020,"url":"http://dx.doi.org/10.1371/journal.pbio.3000411","authors":"Percie du Sert, Nathalie; Ahluwalia, Amrita; Alam, Sabina; Avey, Marc T.; Baker, Monya; Browne, William J.; Clark, Alejandra; Cuthill, Innes C.; Dirnagl, Ulrich; Emerson, Michael; Garner, Paul; Holgate, Stephen T.; Howells, David W.; Hurst, Viki; Karp, Natasha A.; Lazic, Stanley E.; Lidster, Katie; MacCallum, Catriona J.; Macleod, Malcolm; Pearl, Esther J.; Petersen, Ole H.; Rawle, Frances; Reynolds, Penny; Rooney, Kieron; Sena, Emily S.; Silberberg, Shai D.; Steckler, Thomas; Würbel, Hanno; ","journal":"PLoS Biol","doi":"10.1371/journal.pbio.3000411","created_at":"2024-02-17T09:16:19.947Z","updated_at":"2024-02-17T09:16:19.947Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3503,"relation":"applies_to_content"}],"grants":[{"id":5488,"fairsharing_record_id":329,"organisation_id":2290,"relation":"funds","created_at":"2021-09-30T09:27:29.071Z","updated_at":"2021-09-30T09:27:29.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5490,"fairsharing_record_id":329,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:29.147Z","updated_at":"2021-09-30T09:27:29.147Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5492,"fairsharing_record_id":329,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:27:29.247Z","updated_at":"2021-09-30T09:27:29.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5486,"fairsharing_record_id":329,"organisation_id":2031,"relation":"funds","created_at":"2021-09-30T09:27:28.988Z","updated_at":"2021-09-30T09:27:28.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":2031,"name":"National Institutes for Health/Office of Laboratory Animal Welfare","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5489,"fairsharing_record_id":329,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:29.109Z","updated_at":"2021-09-30T09:27:29.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5491,"fairsharing_record_id":329,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:29.188Z","updated_at":"2021-09-30T09:27:29.188Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5487,"fairsharing_record_id":329,"organisation_id":1975,"relation":"maintains","created_at":"2021-09-30T09:27:29.030Z","updated_at":"2024-02-17T09:18:29.802Z","grant_id":null,"is_lead":true,"saved_state":{"id":1975,"name":"National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs), London, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb2dEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--62c3869a053e22e56968fcd90093a9410b0bd79d/Screenshot%20from%202024-02-17%2009-17-05.png?disposition=inline","exhaustive_licences":true}},{"id":"419","type":"fairsharing_records","attributes":{"created_at":"2015-02-23T13:23:52.000Z","updated_at":"2021-11-24T13:18:35.590Z","metadata":{"doi":"10.25504/FAIRsharing.yfc7pa","name":"mzData","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"psidev-ms-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/mzdata","identifier":419,"description":"mzData is an XML format for representing mass spectrometry data in such a way as to completely describe the instrumental aspects of the experiment.","abbreviation":"mzData","support_links":[{"url":"http://www.psidev.info/mzdata-1_0_5-docs","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2015-04-08","deprecation_reason":"This resource is obsolete and has been superseded by mzML."},"legacy_ids":["bsg-000582","bsg-s000582"],"name":"FAIRsharing record for: mzData","abbreviation":"mzData","url":"https://fairsharing.org/10.25504/FAIRsharing.yfc7pa","doi":"10.25504/FAIRsharing.yfc7pa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mzData is an XML format for representing mass spectrometry data in such a way as to completely describe the instrumental aspects of the experiment.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10918},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11443},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12061}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":606,"pubmed_id":18655045,"title":"mzML: a single, unifying data format for mass spectrometer output.","year":2008,"url":"http://doi.org/10.1002/pmic.200890049","authors":"Deutsch E","journal":"Proteomics","doi":"10.1002/pmic.200890049","created_at":"2021-09-30T08:23:26.470Z","updated_at":"2021-09-30T08:23:26.470Z"},{"id":734,"pubmed_id":14625869,"title":"Further advances in the development of a data interchange standard for proteomics data","year":2003,"url":"http://doi.org/10.1002/pmic.200300588","authors":"Orchard S, Zhu W, Julian RK Jr, Hermjakob H, Apweiler R.","journal":"Proteomics","doi":"10.1002/pmic.200300588","created_at":"2021-09-30T08:23:40.895Z","updated_at":"2021-09-30T08:23:40.895Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"420","type":"fairsharing_records","attributes":{"created_at":"2015-02-17T19:59:27.000Z","updated_at":"2023-05-05T09:03:36.017Z","metadata":{"doi":"10.25504/FAIRsharing.262bth","name":"mz5","status":"deprecated","contacts":[{"contact_name":"Judith A.J. Steen","contact_email":"judith.steen@childrens.harvard.edu"}],"homepage":"http://software.steenlab.org/mz5","citations":[],"identifier":420,"description":"mz5 is a complete reimplementation of the mzML ontology that is based on the efficient, industrial strength storage backend HDF5.","abbreviation":"mz5","support_links":[{"url":"hanno.steen@childrens.harvard.edu","type":"Support email"}],"year_creation":2011,"deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000580","bsg-s000580"],"name":"FAIRsharing record for: mz5","abbreviation":"mz5","url":"https://fairsharing.org/10.25504/FAIRsharing.262bth","doi":"10.25504/FAIRsharing.262bth","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mz5 is a complete reimplementation of the mzML ontology that is based on the efficient, industrial strength storage backend HDF5.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10914},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11031}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":701,"pubmed_id":21960719,"title":"mz5: space- and time-efficient storage of mass spectrometry data sets","year":2011,"url":"http://doi.org/S1535-9476(20)30559-4","authors":"Wilhelm M, Kirchner M, Steen JA, Steen H.","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O111.011379","created_at":"2021-09-30T08:23:37.286Z","updated_at":"2021-09-30T08:23:37.286Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1188,"relation":"undefined"}],"grants":[{"id":5637,"fairsharing_record_id":420,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:34.169Z","updated_at":"2021-09-30T09:27:34.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5636,"fairsharing_record_id":420,"organisation_id":53,"relation":"funds","created_at":"2021-09-30T09:27:34.138Z","updated_at":"2021-09-30T09:31:17.241Z","grant_id":1102,"is_lead":false,"saved_state":{"id":53,"name":"Alexander von Humboldt Foundation, Germany","grant":"DEU/1134241","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5638,"fairsharing_record_id":420,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:34.211Z","updated_at":"2021-09-30T09:30:27.723Z","grant_id":722,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-GM094844-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8120,"fairsharing_record_id":420,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:03.680Z","updated_at":"2021-09-30T09:31:03.736Z","grant_id":998,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-NS066973-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"421","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2021-11-24T13:14:19.948Z","metadata":{"doi":"10.25504/FAIRsharing.qp211a","name":"Clinical Trials Ontology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de","contact_orcid":"0000-0001-8793-2692"}],"homepage":"http://bioportal.bioontology.org/ontologies/CTO","identifier":421,"description":"The Clinical Trials Ontology (CTO) is also known as the Clinical Trial Ontology-Neurodegenerative Diseases (CTO-NDD), and describes clinical trials in the field of neurodegeneration. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","abbreviation":"CTO","support_links":[{"url":"http://aetionomy.scai.fhg.de/","name":"Aetionomy Project","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTO","name":"CTO","portal":"BioPortal"}]},"legacy_ids":["bsg-001058","bsg-s001058"],"name":"FAIRsharing record for: Clinical Trials Ontology","abbreviation":"CTO","url":"https://fairsharing.org/10.25504/FAIRsharing.qp211a","doi":"10.25504/FAIRsharing.qp211a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Clinical Trials Ontology (CTO) is also known as the Clinical Trial Ontology-Neurodegenerative Diseases (CTO-NDD), and describes clinical trials in the field of neurodegeneration. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17357},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12532}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5639,"fairsharing_record_id":421,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:34.253Z","updated_at":"2021-09-30T09:27:34.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"422","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:20.009Z","metadata":{"doi":"10.25504/FAIRsharing.pk6cwg","name":"Epoch Clinical Trial Ontology","status":"uncertain","contacts":[{"contact_name":"Ravi Shankar","contact_email":"rshankar@stanford.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/CTONT","identifier":422,"description":"The Epoch Clinical Trial Ontology is a standard, originally curated from data in BioPortal. It encodes knowledge about the clinical trial domain that is relevant to trial management applications. It has been created to support semantic interoperation of clinical trial software applications. Epoch is a suite of clinical trial ontologies that formally represents protocol entities relevant to the clinical trials management applications they support. However, information on this standard appears to no longer be available. If you work on this standard, or know of it's current status, please get in touch with our team.","abbreviation":null,"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTONT","name":"CTONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002610","bsg-s002610"],"name":"FAIRsharing record for: Epoch Clinical Trial Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pk6cwg","doi":"10.25504/FAIRsharing.pk6cwg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epoch Clinical Trial Ontology is a standard, originally curated from data in BioPortal. It encodes knowledge about the clinical trial domain that is relevant to trial management applications. It has been created to support semantic interoperation of clinical trial software applications. Epoch is a suite of clinical trial ontologies that formally represents protocol entities relevant to the clinical trials management applications they support. However, information on this standard appears to no longer be available. If you work on this standard, or know of it's current status, please get in touch with our team.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12517}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Chemical entity","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":263,"pubmed_id":18693919,"title":"An ontology-based architecture for integration of clinical trials management applications.","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/18693919","authors":"Shankar RD,Martins SB,O'Connor M,Parrish DB,Das AK","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:22:48.418Z","updated_at":"2021-09-30T08:22:48.418Z"}],"licence_links":[],"grants":[{"id":5640,"fairsharing_record_id":422,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:34.294Z","updated_at":"2021-09-30T09:27:34.294Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"423","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:00:19.377Z","metadata":{"doi":"10.25504/FAIRsharing.yg0zpm","name":"Computer-based Patient Record Ontology","status":"ready","contacts":[{"contact_name":"Chimezie Ogbuji","contact_email":"chimezie@gmail.com"}],"homepage":"https://code.google.com/archive/p/cpr-ontology/","identifier":423,"description":"A uniform core set of data elements (whose formal semantics are captured in OWL) for use in a Computer-Based Patient Record (CPR).","abbreviation":"CPR","support_links":[{"url":"https://code.google.com/archive/p/cpr-ontology/issues","name":"Issues","type":"Forum"},{"url":"https://code.google.com/archive/p/cpr-ontology/wikis/CPROverview.wiki","type":"Help documentation"},{"url":"https://www.researchgate.net/publication/235463154_A_Framework_Ontology_for_Computer-Based_Patient_Record_Systems?ev=prf_pub","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CPRO","name":"CPRO","portal":"BioPortal"}]},"legacy_ids":["bsg-002593","bsg-s002593"],"name":"FAIRsharing record for: Computer-based Patient Record Ontology","abbreviation":"CPR","url":"https://fairsharing.org/10.25504/FAIRsharing.yg0zpm","doi":"10.25504/FAIRsharing.yg0zpm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A uniform core set of data elements (whose formal semantics are captured in OWL) for use in a Computer-Based Patient Record (CPR).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12518}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Medical Informatics"],"domains":["Electronic health record","Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2523,"pubmed_id":null,"title":"A Framework Ontology for Computer-Based Patient Record Systems","year":2011,"url":"https://pdfs.semanticscholar.org/7d37/3778e655af33f47c69fbb943725011e5c113.pdf","authors":"Ogbuji C.","journal":"ICBO: International Conference on Biomedical Ontology","doi":null,"created_at":"2021-09-30T08:27:09.516Z","updated_at":"2021-09-30T08:27:09.516Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":826,"relation":"undefined"}],"grants":[{"id":5641,"fairsharing_record_id":423,"organisation_id":2360,"relation":"maintains","created_at":"2021-09-30T09:27:34.332Z","updated_at":"2021-09-30T09:27:34.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2360,"name":"Problem-Oriented Medical Record Ontology (POMROntology) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5642,"fairsharing_record_id":423,"organisation_id":2515,"relation":"maintains","created_at":"2021-09-30T09:27:34.370Z","updated_at":"2021-09-30T09:27:34.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2515,"name":"School of Medicine, Case Western University, Cleveland, OH, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"424","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-07T16:04:28.885Z","metadata":{"doi":"10.25504/FAIRsharing.sp7hvb","name":"Proteomics data and process provenance","status":"uncertain","contacts":[{"contact_name":"Satya S. Sahoo","contact_email":"satyasahoo@ieee.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/PROPREO","identifier":424,"description":"A comprehensive proteomics data and process provenance ontology.","abbreviation":"ProPreO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PROPREO","name":"PROPREO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/propreo.html","name":"propreo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002622","bsg-s002622"],"name":"FAIRsharing record for: Proteomics data and process provenance","abbreviation":"ProPreO","url":"https://fairsharing.org/10.25504/FAIRsharing.sp7hvb","doi":"10.25504/FAIRsharing.sp7hvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive proteomics data and process provenance ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":9096,"fairsharing_record_id":424,"organisation_id":556,"relation":"maintains","created_at":"2022-04-07T13:26:04.742Z","updated_at":"2022-04-07T13:26:04.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":556,"name":"College of Engineering and Computer Science (KNO.E.SIS), Fairborn, OH, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5643,"fairsharing_record_id":424,"organisation_id":1311,"relation":"maintains","created_at":"2021-09-30T09:27:34.412Z","updated_at":"2021-09-30T09:27:34.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":1311,"name":"IEEE Engineering in Medicine and Biology Society (EMBS), Piscataway, NJ, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"425","type":"fairsharing_records","attributes":{"created_at":"2020-09-03T12:34:36.000Z","updated_at":"2022-09-28T15:04:43.321Z","metadata":{"doi":"10.25504/FAIRsharing.YKGuWm","name":"Covid-19 Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/C0X/en/","citations":[],"identifier":425,"description":"This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the emerging COVID-19 outbreak which reminds the past SARS coronavirus outbreak and Middle East coronavirus outbreak. This thesaurus is based on the vocabulary used in scientific publications for SARS-CoV-2 and other coronaviruses, like SARS-CoV and MERS-CoV. It provides a support to explore the coronavirus infectious diseases.","abbreviation":null,"year_creation":2020},"legacy_ids":["bsg-001514","bsg-s001514"],"name":"FAIRsharing record for: Covid-19 Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.YKGuWm","doi":"10.25504/FAIRsharing.YKGuWm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the emerging COVID-19 outbreak which reminds the past SARS coronavirus outbreak and Middle East coronavirus outbreak. This thesaurus is based on the vocabulary used in scientific publications for SARS-CoV-2 and other coronaviruses, like SARS-CoV and MERS-CoV. It provides a support to explore the coronavirus infectious diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Virology","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":582,"relation":"undefined"}],"grants":[{"id":5646,"fairsharing_record_id":425,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:34.523Z","updated_at":"2021-09-30T09:27:34.523Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5645,"fairsharing_record_id":425,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:34.491Z","updated_at":"2021-09-30T09:27:34.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"452","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:16:25.000Z","updated_at":"2022-07-20T11:58:30.153Z","metadata":{"name":"Germplasm Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_010:ROOT","citations":[],"identifier":452,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Germplasm Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Banana (Musa spp.) (1996) and Descriptors for Mango by Bioversity and covers information about general germplasm descriptors.","abbreviation":"CO_010","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2007,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001172","bsg-s001172"],"name":"FAIRsharing record for: Germplasm Ontology","abbreviation":"CO_010","url":"https://fairsharing.org/fairsharing_records/452","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Germplasm Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Banana (Musa spp.) (1996) and Descriptors for Mango by Bioversity and covers information about general germplasm descriptors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science","Plant Anatomy","Plant Cell Biology"],"domains":["Germplasm"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Italy","Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":157,"relation":"undefined"}],"grants":[{"id":5689,"fairsharing_record_id":452,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:35.956Z","updated_at":"2021-09-30T09:27:35.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5690,"fairsharing_record_id":452,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:35.982Z","updated_at":"2021-09-30T09:27:35.982Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"453","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:36.408Z","metadata":{"doi":"10.25504/FAIRsharing.6ax9gn","name":"Reproductive trait and phenotype ontology","status":"ready","contacts":[{"contact_name":"Ina Hulsegge","contact_email":"ina.hulsegge@wur.nl","contact_orcid":"0000-0002-7015-6540"}],"homepage":"http://bioportal.bioontology.org/ontologies/1552","identifier":453,"description":"Ontology for livestock reproductive traits and phenotypes.","abbreviation":"REPO","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/REPO","name":"REPO","portal":"BioPortal"}]},"legacy_ids":["bsg-002698","bsg-s002698"],"name":"FAIRsharing record for: Reproductive trait and phenotype ontology","abbreviation":"REPO","url":"https://fairsharing.org/10.25504/FAIRsharing.6ax9gn","doi":"10.25504/FAIRsharing.6ax9gn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for livestock reproductive traits and phenotypes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":["Livestock","Trait modelling data"],"countries":["Netherlands"],"publications":[{"id":1016,"pubmed_id":22228038,"title":"Contributions to an animal trait ontology.","year":2012,"url":"http://doi.org/10.2527/jas.2011-4251","authors":"Hulsegge B, Smits MA, te Pas MF, Woelders H","journal":"J Anim Sci","doi":"10.2527/jas.2011-4251","created_at":"2021-09-30T08:24:12.480Z","updated_at":"2021-09-30T08:24:12.480Z"}],"licence_links":[],"grants":[{"id":5691,"fairsharing_record_id":453,"organisation_id":3215,"relation":"maintains","created_at":"2021-09-30T09:27:36.006Z","updated_at":"2021-09-30T09:27:36.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":3215,"name":"Wageningen University and Research, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"454","type":"fairsharing_records","attributes":{"created_at":"2021-06-28T05:46:23.000Z","updated_at":"2023-04-21T08:43:41.904Z","metadata":{"doi":"10.25504/FAIRsharing.5a608b","name":"BD5","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp","contact_orcid":"0000-0002-8255-1724"}],"homepage":"https://github.com/openssbd/BDML-BD5","citations":[{"doi":"10.1371/journal.pone.0237468","pubmed_id":32785254,"publication_id":2517}],"identifier":454,"description":"BD5 is an open HDF5-based format for representing quantitative data of biological dynamics.","abbreviation":"BD5","support_links":[{"url":"http://ssbd.qbic.riken.jp/bdml/bd5.html","type":"Help documentation"}],"year_creation":2020},"legacy_ids":["bsg-001619","bsg-s001619"],"name":"FAIRsharing record for: BD5","abbreviation":"BD5","url":"https://fairsharing.org/10.25504/FAIRsharing.5a608b","doi":"10.25504/FAIRsharing.5a608b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BD5 is an open HDF5-based format for representing quantitative data of biological dynamics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2517,"pubmed_id":32785254,"title":"BD5: An open HDF5-based data format to represent quantitative biological dynamics data.","year":2020,"url":"http://doi.org/10.1371/journal.pone.0237468","authors":"Kyoda K,Ho KHL,Tohsato Y,Itoga H,Onami S","journal":"PLoS One","doi":"10.1371/journal.pone.0237468","created_at":"2021-09-30T08:27:08.825Z","updated_at":"2021-09-30T08:27:08.825Z"}],"licence_links":[],"grants":[{"id":5693,"fairsharing_record_id":454,"organisation_id":2447,"relation":"funds","created_at":"2021-09-30T09:27:36.056Z","updated_at":"2021-09-30T09:29:48.959Z","grant_id":417,"is_lead":false,"saved_state":{"id":2447,"name":"RIKEN Open Life Science Platform","grant":"NA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5692,"fairsharing_record_id":454,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:27:36.032Z","updated_at":"2021-09-30T09:31:16.839Z","grant_id":1099,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","grant":"JP18H05412","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5695,"fairsharing_record_id":454,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:27:36.106Z","updated_at":"2021-09-30T09:32:35.720Z","grant_id":1690,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","grant":"JPMJCR1511","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5694,"fairsharing_record_id":454,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:36.082Z","updated_at":"2021-09-30T09:29:48.977Z","grant_id":417,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","grant":"NA","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"455","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-03-15T07:34:44.186Z","metadata":{"doi":"10.25504/FAIRsharing.azq2t6","name":"Molecular Interaction Map","status":"ready","contacts":[{"contact_name":"Anders Riutta","contact_email":"anders.riutta@gladstone.ucsf.edu"}],"homepage":"http://discover.nci.nih.gov/mim/","citations":[],"identifier":455,"description":"A Molecular Interaction Map (MIM) is a diagram convention that is capable of unambiguous representation of networks containing multi-protein complexes, protein modifications, and enzymes that are substrates of other enzymes. This graphical representation makes it possible to view all of the many interactions in which a given molecule may be involved, and it can portray competing interactions, which are common in bioregulatory networks. In order to facilitate linkage to databases, each molecular species is represented only once in a diagram. ","abbreviation":"MIM","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MIM","name":"MIM","portal":"BioPortal"}]},"legacy_ids":["bsg-001039","bsg-s001039"],"name":"FAIRsharing record for: Molecular Interaction Map","abbreviation":"MIM","url":"https://fairsharing.org/10.25504/FAIRsharing.azq2t6","doi":"10.25504/FAIRsharing.azq2t6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A Molecular Interaction Map (MIM) is a diagram convention that is capable of unambiguous representation of networks containing multi-protein complexes, protein modifications, and enzymes that are substrates of other enzymes. This graphical representation makes it possible to view all of the many interactions in which a given molecule may be involved, and it can portray competing interactions, which are common in bioregulatory networks. In order to facilitate linkage to databases, each molecular species is represented only once in a diagram. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Enzymology"],"domains":["Network model"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10417,"fairsharing_record_id":455,"organisation_id":1954,"relation":"undefined","created_at":"2023-03-15T07:34:35.124Z","updated_at":"2023-03-15T07:34:35.124Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"456","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-05T13:51:24.799Z","metadata":{"doi":"10.25504/FAIRsharing.sgk7s0","name":"Ontology of Core Data Mining Entities","status":"deprecated","contacts":[{"contact_name":"Pance Panov","contact_email":"pance.panov@ijs.si","contact_orcid":"0000-0002-7685-9140"}],"homepage":"http://www.ontodm.com/doku.php?id=ontodm-core","citations":[],"identifier":456,"description":"OntoDM is a generic ontology for the domain of data mining. The ontology includes the information processing processes that occur in the domain of data mining, participants in the processes and their specifications. OntoDM is highly transferable and extendable due to its adherence to accepted standards, and compliance with existing ontology resources. The generality in scope allows wide number of applications of the ontology, such as semantic annotation of data mining scenarios, ontology based support for QSARs, etc.","abbreviation":"OntoDM-core","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTODM-CORE","name":"ONTODM-CORE","portal":"BioPortal"}],"deprecation_date":"2023-04-05","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002731","bsg-s002731"],"name":"FAIRsharing record for: Ontology of Core Data Mining Entities","abbreviation":"OntoDM-core","url":"https://fairsharing.org/10.25504/FAIRsharing.sgk7s0","doi":"10.25504/FAIRsharing.sgk7s0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoDM is a generic ontology for the domain of data mining. The ontology includes the information processing processes that occur in the domain of data mining, participants in the processes and their specifications. OntoDM is highly transferable and extendable due to its adherence to accepted standards, and compliance with existing ontology resources. The generality in scope allows wide number of applications of the ontology, such as semantic annotation of data mining scenarios, ontology based support for QSARs, etc.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12035}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Semantic"],"countries":["Slovenia","United Kingdom"],"publications":[{"id":1532,"pubmed_id":null,"title":"Ontology of core data mining entities","year":2014,"url":"http://doi.org/10.1007/s10618-014-0363-0","authors":"Panov P, Soldatova L, Džeroski S,","journal":"Data Mining and Knowledge Discovery","doi":"10.1007/s10618-014-0363-0","created_at":"2021-09-30T08:25:11.493Z","updated_at":"2021-09-30T08:25:11.493Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"457","type":"fairsharing_records","attributes":{"created_at":"2019-01-21T20:11:58.000Z","updated_at":"2022-11-01T11:58:23.175Z","metadata":{"doi":"10.25504/FAIRsharing.r49beq","name":"FAIR Metrics - Identifier Uniqueness","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F1A","citations":[],"identifier":457,"description":"The FM-F1A Metric provides a measurement of whether or not there is a scheme to uniquely identify the digital resource. An identifier scheme is valid if and only if it is described in a repository that can register and present such identifier schemes (e.g. fairsharing.org). Information about the identifier scheme must be presented with a machine-readable document containing the FM1 attribute with the URL to where the scheme is described. see specification for implementation. This metric applies to part F1 of the FAIR Principles.","abbreviation":"FM-F1A","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001341","bsg-s001341"],"name":"FAIRsharing record for: FAIR Metrics - Identifier Uniqueness","abbreviation":"FM-F1A","url":"https://fairsharing.org/10.25504/FAIRsharing.r49beq","doi":"10.25504/FAIRsharing.r49beq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FM-F1A Metric provides a measurement of whether or not there is a scheme to uniquely identify the digital resource. An identifier scheme is valid if and only if it is described in a repository that can register and present such identifier schemes (e.g. fairsharing.org). Information about the identifier scheme must be presented with a machine-readable document containing the FM1 attribute with the URL to where the scheme is described. see specification for implementation. This metric applies to part F1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Subject Agnostic"],"domains":["Data identity and mapping","Centrally registered identifier","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1390,"relation":"undefined"}],"grants":[{"id":5696,"fairsharing_record_id":457,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:36.133Z","updated_at":"2021-09-30T09:27:36.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5697,"fairsharing_record_id":457,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:36.156Z","updated_at":"2021-09-30T09:27:36.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5698,"fairsharing_record_id":457,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:36.182Z","updated_at":"2021-09-30T09:27:36.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5699,"fairsharing_record_id":457,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:36.206Z","updated_at":"2021-09-30T09:27:36.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"446","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T21:15:09.000Z","updated_at":"2022-07-20T10:34:53.307Z","metadata":{"doi":"10.25504/FAIRsharing.f1292d","name":"SPHERE Activities of Daily Living","status":"ready","contacts":[{"contact_name":"Engineering Department General Contact","contact_email":"engf-faculty@bristol.ac.uk","contact_orcid":null}],"homepage":"https://doi.org/10.5523/bris.1234ym4ulx3r11i2z5b13g93n7","citations":[{"doi":"E2361","pubmed_id":30037001,"publication_id":2892}],"identifier":446,"description":"The Activities of Daily Living Ontology is available for use in the SPHERE (Sensor Platform for HEalth in a Residential Environment) system to capture and express daily behaviour and activities among patients. While this ontology is available, please note that it has not been updated since 2016.","abbreviation":"ADL","support_links":[],"year_creation":2016},"legacy_ids":["bsg-001457","bsg-s001457"],"name":"FAIRsharing record for: SPHERE Activities of Daily Living","abbreviation":"ADL","url":"https://fairsharing.org/10.25504/FAIRsharing.f1292d","doi":"10.25504/FAIRsharing.f1292d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Activities of Daily Living Ontology is available for use in the SPHERE (Sensor Platform for HEalth in a Residential Environment) system to capture and express daily behaviour and activities among patients. While this ontology is available, please note that it has not been updated since 2016.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12238},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12554}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies","Medicines Research and Development","Behavioural Biology","Social and Behavioural Science"],"domains":["Behavior","Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2892,"pubmed_id":30037001,"title":"Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation.","year":2018,"url":"http://doi.org/E2361","authors":"Woznowski PR,Tonkin EL,Flach PA","journal":"Sensors (Basel)","doi":"E2361","created_at":"2021-09-30T08:27:56.099Z","updated_at":"2021-09-30T08:27:56.099Z"}],"licence_links":[{"licence_name":"Non-Commercial Government Licence for Public Sector Information","licence_id":597,"licence_url":"https://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/","link_id":2576,"relation":"applies_to_content"}],"grants":[{"id":8742,"fairsharing_record_id":446,"organisation_id":862,"relation":"funds","created_at":"2022-01-21T14:25:01.226Z","updated_at":"2022-01-21T14:25:01.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5687,"fairsharing_record_id":446,"organisation_id":983,"relation":"maintains","created_at":"2021-09-30T09:27:35.906Z","updated_at":"2022-01-21T14:25:01.396Z","grant_id":null,"is_lead":true,"saved_state":{"id":983,"name":"Faculty of Engineering, University of Bristol, Bristol","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"447","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T14:49:40.000Z","updated_at":"2023-10-03T09:53:37.103Z","metadata":{"doi":"10.25504/FAIRsharing.x1ar7v","name":"MIAPE: Gel Electrophoresis","status":"ready","contacts":[{"contact_name":"Frank Gibson","contact_email":"Frank.Gibson@ncl.ac.uk"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":447,"description":"This module identifies guidelines for the minimum information to report about the use of n- dimensional gel electrophoresis in a proteomics experiment.","abbreviation":"MIAPE-GE","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Support email"},{"url":"psi-mi@ebi.ac.uk","type":"Support email"}],"year_creation":2008},"legacy_ids":["bsg-000609","bsg-s000609"],"name":"FAIRsharing record for: MIAPE: Gel Electrophoresis","abbreviation":"MIAPE-GE","url":"https://fairsharing.org/10.25504/FAIRsharing.x1ar7v","doi":"10.25504/FAIRsharing.x1ar7v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies guidelines for the minimum information to report about the use of n- dimensional gel electrophoresis in a proteomics experiment.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11442},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12053}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Assay","Electrophoresis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","France","Germany","Switzerland","United Kingdom","United States"],"publications":[{"id":2003,"pubmed_id":18688234,"title":"Guidelines for reporting the use of gel electrophoresis in proteomics.","year":2008,"url":"http://doi.org/10.1038/nbt0808-863","authors":"Gibson F,Anderson L,Babnigg G,Baker M,Berth M,Binz PA,Borthwick A,Cash P,Day BW,Friedman DB,Garland D,Gutstein HB,Hoogland C,Jones NA,Khan A,Klose J,Lamond AI,Lemkin PF,Lilley KS,Minden J,Morris NJ,Paton NW,Pisano MR,Prime JE,Rabilloud T,Stead DA,Taylor CF,Voshol H,Wipat A,Jones AR","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-863","created_at":"2021-09-30T08:26:05.557Z","updated_at":"2021-09-30T08:26:05.557Z"}],"licence_links":[],"grants":[{"id":5688,"fairsharing_record_id":447,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:35.932Z","updated_at":"2023-10-03T09:43:23.151Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2NEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8d206ae4103b6a63f54c7266c5467d0b05b4996d/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"448","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-12-23T08:41:54.164Z","metadata":{"doi":"10.25504/FAIRsharing.93g1th","name":"Porifera Ontology","status":"ready","contacts":[{"contact_name":"Bob Thacker","contact_email":"thacker@uab.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/PORO","citations":[],"identifier":448,"description":"An ontology covering the anatomy of Porifera (sponges)","abbreviation":"PORO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PORO","name":"PORO","portal":"BioPortal"}]},"legacy_ids":["bsg-001034","bsg-s001034"],"name":"FAIRsharing record for: Porifera Ontology","abbreviation":"PORO","url":"https://fairsharing.org/10.25504/FAIRsharing.93g1th","doi":"10.25504/FAIRsharing.93g1th","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology covering the anatomy of Porifera (sponges)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Taxonomy","Phylogeny"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"449","type":"fairsharing_records","attributes":{"created_at":"2015-09-26T04:56:38.000Z","updated_at":"2023-04-23T13:00:44.758Z","metadata":{"doi":"10.25504/FAIRsharing.8btktm","name":"Observations and Measurements OWL implementation","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"dr.shorthair@pm.me","contact_orcid":"0000-0002-3884-3420"}],"homepage":"https://www.w3.org/2015/spatial/wiki/Alignment_to_om-lite","citations":[],"identifier":449,"description":"An OWL representation of the Observation Schema described in clauses 7-8 of ISO 19156:2011 Geographic Information - Observations and Measurements.","abbreviation":"om-lite","year_creation":2014},"legacy_ids":["bsg-000618","bsg-s000618"],"name":"FAIRsharing record for: Observations and Measurements OWL implementation","abbreviation":"om-lite","url":"https://fairsharing.org/10.25504/FAIRsharing.8btktm","doi":"10.25504/FAIRsharing.8btktm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An OWL representation of the Observation Schema described in clauses 7-8 of ISO 19156:2011 Geographic Information - Observations and Measurements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Earth Science"],"domains":["Monitoring"],"taxonomies":["Not applicable"],"user_defined_tags":["Defence and intelligence"],"countries":["Australia"],"publications":[{"id":2230,"pubmed_id":null,"title":"Ontology for observations and sampling features, with alignments to existing models","year":2017,"url":"http://doi.org/10.3233/SW-160214","authors":"Cox, Simon J D","journal":"Semantic Web Journal","doi":"10.3233/SW-160214","created_at":"2021-09-30T08:26:31.314Z","updated_at":"2021-09-30T08:26:31.314Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":4,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"451","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-03-11T10:28:29.176Z","metadata":{"doi":"10.25504/FAIRsharing.d8a14w","name":"Early Pregnancy Ontology","status":"deprecated","contacts":[{"contact_name":"Ferdinand Dhombres","contact_email":"ferdinand.dhombres@inserm.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/EPO","citations":[],"identifier":451,"description":"The early pregnancy ontology contains the concepts to describe ectopic pregnancy ultrasound images, organized into several subsumption hierarchies for types of ectopic pregnancies and the signs, anatomical structures and technical elements of imaging associated with ectopic pregnancy. Also known as the Ectopic pregnancy ontology.","abbreviation":"EPO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EPO","name":"EPO","portal":"BioPortal"}],"deprecation_date":"2022-03-11","deprecation_reason":"This resource has not been updated in BioPortal since its initial submission, and no alternative homepage or information can be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-001037","bsg-s001037"],"name":"FAIRsharing record for: Early Pregnancy Ontology","abbreviation":"EPO","url":"https://fairsharing.org/10.25504/FAIRsharing.d8a14w","doi":"10.25504/FAIRsharing.d8a14w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The early pregnancy ontology contains the concepts to describe ectopic pregnancy ultrasound images, organized into several subsumption hierarchies for types of ectopic pregnancies and the signs, anatomical structures and technical elements of imaging associated with ectopic pregnancy. Also known as the Ectopic pregnancy ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gynecology","Obstetrics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3254,"pubmed_id":null,"title":"Towards ontology-based decision support systems for complex ultrasound diagnosis in obstetrics and gynecology","year":2017,"url":"http://dx.doi.org/10.1016/j.jogoh.2017.03.004","authors":"Maurice, P.; Dhombres, F.; Blondiaux, E.; Friszer, S.; Guilbaud, L.; Lelong, N.; Khoshnood, B.; Charlet, J.; Perrot, N.; Jauniaux, E.; Jurkovic, D.; Jouannic, J.-M.; ","journal":"Journal of Gynecology Obstetrics and Human Reproduction","doi":"10.1016/j.jogoh.2017.03.004","created_at":"2022-03-11T10:13:03.282Z","updated_at":"2022-03-11T10:13:03.282Z"}],"licence_links":[],"grants":[{"id":8982,"fairsharing_record_id":451,"organisation_id":1444,"relation":"maintains","created_at":"2022-03-11T10:15:17.967Z","updated_at":"2022-03-11T10:15:17.967Z","grant_id":null,"is_lead":true,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"442","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T14:20:17.000Z","updated_at":"2023-10-03T09:53:45.276Z","metadata":{"doi":"10.25504/FAIRsharing.mrrzb3","name":"MIAPE: Mass Spectrometry Informatics","status":"ready","contacts":[{"contact_name":"Pierre-Alain Binz","contact_email":"Pierre-Alain.Binz@isb-sib.ch"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":442,"description":"This module identifies the minimum information required to report the use of protein and peptide identification and characterisation software to analyse the data produced by mass spectrometry experiments, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the work that generated it.","abbreviation":"MIAPE-MSI","support_links":[{"url":"http://www.psidev.info/groups/mass-spectrometry#discussionList","type":"Forum"},{"url":"psidev-ms-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"Psidev-pi-dev@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2008},"legacy_ids":["bsg-000608","bsg-s000608"],"name":"FAIRsharing record for: MIAPE: Mass Spectrometry Informatics","abbreviation":"MIAPE-MSI","url":"https://fairsharing.org/10.25504/FAIRsharing.mrrzb3","doi":"10.25504/FAIRsharing.mrrzb3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report the use of protein and peptide identification and characterisation software to analyse the data produced by mass spectrometry experiments, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the work that generated it.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11439},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12044}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","France","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":804,"pubmed_id":18688233,"title":"Guidelines for reporting the use of mass spectrometry informatics in proteomics.","year":2008,"url":"http://doi.org/10.1038/nbt0808-862","authors":"Binz PA,Barkovich R,Beavis RC,Creasy D,Horn DM,Julian RK Jr,Seymour SL,Taylor CF,Vandenbrouck Y","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-862","created_at":"2021-09-30T08:23:48.678Z","updated_at":"2021-09-30T08:23:48.678Z"}],"licence_links":[],"grants":[{"id":8915,"fairsharing_record_id":442,"organisation_id":2854,"relation":"associated_with","created_at":"2022-03-03T21:24:34.482Z","updated_at":"2022-03-03T22:17:28.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"associated_with"}},{"id":8917,"fairsharing_record_id":442,"organisation_id":646,"relation":"associated_with","created_at":"2022-03-03T21:24:34.572Z","updated_at":"2022-03-03T22:17:28.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":646,"name":"Database Integration Coordination Program from the National Bioscience Database Center","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8916,"fairsharing_record_id":442,"organisation_id":2071,"relation":"associated_with","created_at":"2022-03-03T21:24:34.516Z","updated_at":"2022-03-03T22:17:28.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8913,"fairsharing_record_id":442,"organisation_id":2380,"relation":"maintains","created_at":"2022-03-03T21:24:34.409Z","updated_at":"2022-03-03T22:17:28.157Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9197,"fairsharing_record_id":442,"organisation_id":1595,"relation":"associated_with","created_at":"2022-04-11T12:07:21.252Z","updated_at":"2022-04-11T12:07:21.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1VEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3260eee703537d5bbc99a0ac5fd4a4ed14665985/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"443","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T15:05:29.000Z","updated_at":"2023-10-03T09:53:41.458Z","metadata":{"doi":"10.25504/FAIRsharing.1j9m75","name":"MIAPE: Gel Informatics","status":"ready","contacts":[{"contact_name":"Andrew R Jones","contact_email":"andrew.jones@liv.ac.uk"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":443,"description":"This module identifies the minimum information required to report an informatics analysis performed with gel electrophoresis images, in a manner compliant with the aims as laid out in the ‘MIAPE Principles’ document.","abbreviation":"MIAPE-GI","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-000610","bsg-s000610"],"name":"FAIRsharing record for: MIAPE: Gel Informatics","abbreviation":"MIAPE-GI","url":"https://fairsharing.org/10.25504/FAIRsharing.1j9m75","doi":"10.25504/FAIRsharing.1j9m75","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report an informatics analysis performed with gel electrophoresis images, in a manner compliant with the aims as laid out in the ‘MIAPE Principles’ document.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11441},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12048}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Germany","Spain","Switzerland","United Kingdom","European Union"],"publications":[{"id":2004,"pubmed_id":20622830,"title":"Guidelines for reporting the use of gel image informatics in proteomics.","year":2010,"url":"http://doi.org/10.1038/nbt0710-655","authors":"Hoogland C,O'Gorman M,Bogard P,Gibson F,Berth M,Cockell SJ,Ekefjard A,Forsstrom-Olsson O,Kapferer A,Nilsson M,Martinez-Bartolome S,Albar JP,Echevarria-Zomeno S,Martinez-Gomariz M,Joets J,Binz PA,Taylor CF,Dowsey A,Jones AR","journal":"Nat Biotechnol","doi":"10.1038/nbt0710-655","created_at":"2021-09-30T08:26:05.665Z","updated_at":"2021-09-30T08:26:05.665Z"}],"licence_links":[],"grants":[{"id":5685,"fairsharing_record_id":443,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:35.858Z","updated_at":"2023-10-03T09:41:46.415Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1lEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3da788d794e62f04e90c0fbc1337b062fa48f039/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"444","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T08:55:09.976Z","metadata":{"doi":"10.25504/FAIRsharing.fpwvra","name":"Biological Observation Matrix Ontology","status":"deprecated","contacts":[{"contact_name":"Mikel Egaña Aranguren","contact_email":"mikel.egana@ehu.es"}],"homepage":"http://github.com/mikel-egana-aranguren/biom-ld","citations":[],"identifier":444,"description":"The BIOMO ontology maps the HDF5 based BIOM format (http://biom-format.org/) to OWL, offering a method to convert a BIOM file to RDF and therefore publish it as Linked Data","abbreviation":"BIOMO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIOMO","name":"BIOMO","portal":"BioPortal"}],"deprecation_date":"2022-07-19","deprecation_reason":"Although the homepage for this resource exists, the ontology has not been updated since 2014 and therefore should not be considered active. Please let us know if you have any information on this resource."},"legacy_ids":["bsg-000884","bsg-s000884"],"name":"FAIRsharing record for: Biological Observation Matrix Ontology","abbreviation":"BIOMO","url":"https://fairsharing.org/10.25504/FAIRsharing.fpwvra","doi":"10.25504/FAIRsharing.fpwvra","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BIOMO ontology maps the HDF5 based BIOM format (http://biom-format.org/) to OWL, offering a method to convert a BIOM file to RDF and therefore publish it as Linked Data","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16036}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Microbiome"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"445","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2024-01-25T15:35:09.899Z","metadata":{"doi":"10.25504/FAIRsharing.egv2cz","name":"Ontology for Genetic Susceptibility Factor","status":"deprecated","contacts":[{"contact_name":"Asiyah Yu Lin","contact_email":"linikujp@gmail.com","contact_orcid":"0000-0003-2620-0345"}],"homepage":"https://github.com/linikujp/OGSF","citations":[],"identifier":445,"description":"Ontology for Genetic Susceptibility Factor (OGSF) is an application ontology to model/represent the notion of genetic susceptibility to a specific disease or an adverse event or a pathological biological process. It is developed using BFO 2.0's framework. The ontology is under the domain of genetic epidemiology. OGSF is built from a combination of three ontologies: the Ontology of Geographical Region (OGR), the Ontology of Glucose Metabolism (OGMD), and the Ontology of Genetic Disease Investigations (OGDI). ","abbreviation":"OGSF","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php#ontology","name":"He Group Ontology page","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGSF","name":"OGSF","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogsf.html","name":"ogsf","portal":"OBO Foundry"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology is considered inactive by the OBO Foundry and as such we have deprecated this record (https://obofoundry.org/ontology/ogsf.html). Please get in touch with us if you have additional information."},"legacy_ids":["bsg-000750","bsg-s000750"],"name":"FAIRsharing record for: Ontology for Genetic Susceptibility Factor","abbreviation":"OGSF","url":"https://fairsharing.org/10.25504/FAIRsharing.egv2cz","doi":"10.25504/FAIRsharing.egv2cz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Genetic Susceptibility Factor (OGSF) is an application ontology to model/represent the notion of genetic susceptibility to a specific disease or an adverse event or a pathological biological process. It is developed using BFO 2.0's framework. The ontology is under the domain of genetic epidemiology. OGSF is built from a combination of three ontologies: the Ontology of Geographical Region (OGR), the Ontology of Glucose Metabolism (OGMD), and the Ontology of Genetic Disease Investigations (OGDI). ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12512}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Biomedical Science","Epidemiology"],"domains":["Adverse Reaction","Disease","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":449,"pubmed_id":24963371,"title":"The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-19","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-19","created_at":"2021-09-30T08:23:08.751Z","updated_at":"2021-09-30T08:23:08.751Z"},{"id":1699,"pubmed_id":20847592,"title":"Ontology driven modeling for the knowledge of genetic susceptibility to disease.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/20847592","authors":"Lin Y,Sakamoto N","journal":"Kobe J Med Sci","doi":null,"created_at":"2021-09-30T08:25:30.403Z","updated_at":"2021-09-30T08:25:30.403Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1461,"relation":"undefined"}],"grants":[{"id":5686,"fairsharing_record_id":445,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:35.882Z","updated_at":"2021-09-30T09:27:35.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"433","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T11:12:40.000Z","updated_at":"2023-01-11T09:29:58.762Z","metadata":{"doi":"10.25504/FAIRsharing.6a97fa","name":"Cadastre and Land Administration Thesaurus","status":"ready","contacts":[{"contact_name":"Erik Stubkjaer","contact_email":"est@plan.aau.dk"}],"homepage":"http://www.cadastralvocabulary.org/","identifier":433,"description":"The Cadastre and Land Administration Thesaurus (CaLAThe) is a thesaurus for the domain of cadastre and land administration. The domain regards the surveying and mapping of land, including the boundaries of land parcels, as performed by the profession of surveyors. From a public point of view, the domain provides the technical base for taxation of land and buildings, and for land use planning; from a private point of view, the domain supports security in ownership and other land-related rights. CaLAThe is hosted at the OGC Definitions Server.","abbreviation":"CaLAThe","support_links":[{"url":"volkan@yildiz.edu.tr","name":"Volkan Cagdas","type":"Support email"},{"url":"http://www.cadastralvocabulary.org/GeneralOverview/Version4intro.html","name":"About Version 4","type":"Help documentation"},{"url":"http://www.cadastralvocabulary.org/References.html","name":"References","type":"Help documentation"},{"url":"http://www.cadastralvocabulary.org/Aboutus.html","name":"About","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-001551","bsg-s001551"],"name":"FAIRsharing record for: Cadastre and Land Administration Thesaurus","abbreviation":"CaLAThe","url":"https://fairsharing.org/10.25504/FAIRsharing.6a97fa","doi":"10.25504/FAIRsharing.6a97fa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cadastre and Land Administration Thesaurus (CaLAThe) is a thesaurus for the domain of cadastre and land administration. The domain regards the surveying and mapping of land, including the boundaries of land parcels, as performed by the profession of surveyors. From a public point of view, the domain provides the technical base for taxation of land and buildings, and for land use planning; from a private point of view, the domain supports security in ownership and other land-related rights. CaLAThe is hosted at the OGC Definitions Server.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Urban Planning","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Survey"],"countries":["Denmark","Turkey"],"publications":[{"id":3087,"pubmed_id":null,"title":"A SKOS vocabulary for Linked Land Administration: Cadastre and Land Administration Thesaurus","year":2015,"url":"https://doi.org/10.1016/j.landusepol.2014.12.017","authors":"Volkan Çağdaş, Erik Stubkjær","journal":"Land Use Policy","doi":null,"created_at":"2021-09-30T08:28:20.359Z","updated_at":"2021-09-30T08:28:20.359Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2226,"relation":"undefined"}],"grants":[{"id":5661,"fairsharing_record_id":433,"organisation_id":735,"relation":"maintains","created_at":"2021-09-30T09:27:35.108Z","updated_at":"2021-09-30T09:27:35.108Z","grant_id":null,"is_lead":true,"saved_state":{"id":735,"name":"Department of Planning, Aalborg University, Denmark","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5660,"fairsharing_record_id":433,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:35.075Z","updated_at":"2021-09-30T09:27:35.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5662,"fairsharing_record_id":433,"organisation_id":715,"relation":"maintains","created_at":"2021-09-30T09:27:35.145Z","updated_at":"2021-09-30T09:27:35.145Z","grant_id":null,"is_lead":true,"saved_state":{"id":715,"name":"Department of Geomatic Engineering, Yildiz Technical University, Turkey","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"434","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-15T10:50:40.451Z","metadata":{"doi":"10.25504/FAIRsharing.50n9hc","name":"CellML","status":"ready","homepage":"http://www.cellml.org","citations":[],"identifier":434,"description":"CellML language is an open standard based on the XML markup language. CellML is being developed by the Auckland Bioengineering Institute at the University of Auckland and affiliated research groups. The purpose of CellML is to store and exchange computer-based mathematical models. CellML allows scientists to share models even if they are using different model-building software. It also enables them to reuse components from one model in another, thus accelerating model building.","abbreviation":"CellML","support_links":[{"url":"https://www.cellml.org/about/contact","type":"Contact form"},{"url":"https://lists.cellml.org/sympa/info/cellml-discussion","name":"CellML Discussion mailing list","type":"Mailing list"},{"url":"http://www.cellml.org/specifications","type":"Help documentation"}],"year_creation":2001,"associated_tools":[{"url":"https://www.cellml.org/tools","name":"CellML tools"}]},"legacy_ids":["bsg-000050","bsg-s000050"],"name":"FAIRsharing record for: CellML","abbreviation":"CellML","url":"https://fairsharing.org/10.25504/FAIRsharing.50n9hc","doi":"10.25504/FAIRsharing.50n9hc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CellML language is an open standard based on the XML markup language. CellML is being developed by the Auckland Bioengineering Institute at the University of Auckland and affiliated research groups. The purpose of CellML is to store and exchange computer-based mathematical models. CellML allows scientists to share models even if they are using different model-building software. It also enables them to reuse components from one model in another, thus accelerating model building.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10845},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11136},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11875},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11917},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12193},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16898}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Physiology"],"domains":["Mathematical model","Cell","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":913,"pubmed_id":15142756,"title":"CellML: its future, present and past.","year":2004,"url":"http://doi.org/10.1016/j.pbiomolbio.2004.01.004","authors":"Lloyd CM,Halstead MD,Nielsen PF","journal":"Prog Biophys Mol Biol","doi":"10.1016/j.pbiomolbio.2004.01.004","created_at":"2021-09-30T08:24:00.829Z","updated_at":"2021-09-30T08:24:00.829Z"},{"id":1980,"pubmed_id":25610400,"title":"Cellular cardiac electrophysiology modeling with Chaste and CellML.","year":2015,"url":"http://doi.org/10.3389/fphys.2014.00511","authors":"Cooper J,Spiteri RJ,Mirams GR","journal":"Front Physiol","doi":"10.3389/fphys.2014.00511","created_at":"2021-09-30T08:26:02.790Z","updated_at":"2021-09-30T08:26:02.790Z"},{"id":2236,"pubmed_id":26528558,"title":"The CellML Metadata Framework 2.0 Specification.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-260","authors":"Cooling MT,Hunter P","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-260","created_at":"2021-09-30T08:26:31.974Z","updated_at":"2021-09-30T08:26:31.974Z"},{"id":2265,"pubmed_id":25705192,"title":"OpenCOR: a modular and interoperable approach to computational biology.","year":2015,"url":"http://doi.org/10.3389/fphys.2015.00026","authors":"Garny A,Hunter PJ","journal":"Front Physiol","doi":"10.3389/fphys.2015.00026","created_at":"2021-09-30T08:26:35.623Z","updated_at":"2021-09-30T08:26:35.623Z"},{"id":2288,"pubmed_id":26528557,"title":"The CellML 1.1 Specification.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-259","authors":"Cuellar A,Hedley W,Nelson M,Lloyd C,Halstead M,Bullivant D,Nickerson D,Hunter P,Nielsen P","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-259","created_at":"2021-09-30T08:26:38.835Z","updated_at":"2021-09-30T08:26:38.835Z"},{"id":2310,"pubmed_id":26716837,"title":"Semantics-Based Composition of Integrated Cardiomyocyte Models Motivated by Real-World Use Cases.","year":2015,"url":"http://doi.org/10.1371/journal.pone.0145621","authors":"Neal ML,Carlson BE,Thompson CT,James RC,Kim KG,Tran K,Crampin EJ,Cook DL,Gennari JH","journal":"PLoS One","doi":"10.1371/journal.pone.0145621","created_at":"2021-09-30T08:26:43.394Z","updated_at":"2021-09-30T08:26:43.394Z"},{"id":2345,"pubmed_id":26721671,"title":"Myokit: A simple interface to cardiac cellular electrophysiology.","year":2016,"url":"http://doi.org/10.1016/j.pbiomolbio.2015.12.008","authors":"Clerx M,Collins P,de Lange E,Volders PG","journal":"Prog Biophys Mol Biol","doi":"S0079-6107(15)00257-6","created_at":"2021-09-30T08:26:48.168Z","updated_at":"2021-09-30T08:26:48.168Z"},{"id":2436,"pubmed_id":25601911,"title":"Using CellML with OpenCMISS to Simulate Multi-Scale Physiology.","year":2015,"url":"http://doi.org/10.3389/fbioe.2014.00079","authors":"Nickerson DP,Ladd D,Hussan JR,Safaei S,Suresh V,Hunter PJ,Bradley CP","journal":"Front Bioeng Biotechnol","doi":"10.3389/fbioe.2014.00079","created_at":"2021-09-30T08:26:58.886Z","updated_at":"2021-09-30T08:26:58.886Z"},{"id":2437,"pubmed_id":26789753,"title":"The Cardiac Electrophysiology Web Lab.","year":2016,"url":"http://doi.org/S0006-3495(15)04753-0","authors":"Cooper J,Scharm M,Mirams GR","journal":"Biophys J","doi":"10.1016/j.bpj.2015.12.012","created_at":"2021-09-30T08:26:59.003Z","updated_at":"2021-09-30T08:26:59.003Z"},{"id":4047,"pubmed_id":32759406,"title":"CellML 2.0.","year":2020,"url":"https://doi.org/10.1515/jib-2020-0021","authors":"Clerx M, Cooling MT, Cooper J, Garny A, Moyle K, Nickerson DP, Nielsen PMF, Sorby H","journal":"Journal of integrative bioinformatics","doi":"10.1515/jib-2020-0021","created_at":"2023-11-15T10:27:24.652Z","updated_at":"2023-11-15T10:27:24.652Z"},{"id":4048,"pubmed_id":null,"title":"CellML 2.0.1","year":2023,"url":"http://dx.doi.org/10.1515/jib-2023-0003","authors":"Clerx, Michael; Cooling, Michael T.; Cooper, Jonathan; Garny, Alan; Moyle, Keri; Nickerson, David P.; Nielsen, Poul M. F.; Sorby, Hugh; ","journal":"Journal of Integrative Bioinformatics","doi":"10.1515/jib-2023-0003","created_at":"2023-11-15T10:29:05.539Z","updated_at":"2023-11-15T10:29:05.539Z"}],"licence_links":[],"grants":[{"id":5664,"fairsharing_record_id":434,"organisation_id":3192,"relation":"funds","created_at":"2021-09-30T09:27:35.229Z","updated_at":"2021-09-30T09:27:35.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":3192,"name":"Virtual Physiological Human Network of Excellence","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5667,"fairsharing_record_id":434,"organisation_id":2203,"relation":"funds","created_at":"2021-09-30T09:27:35.323Z","updated_at":"2021-09-30T09:27:35.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":2203,"name":"NZIMA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5669,"fairsharing_record_id":434,"organisation_id":397,"relation":"maintains","created_at":"2021-09-30T09:27:35.387Z","updated_at":"2021-09-30T09:27:35.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":397,"name":"CellML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5663,"fairsharing_record_id":434,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:35.186Z","updated_at":"2021-09-30T09:27:35.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5665,"fairsharing_record_id":434,"organisation_id":2324,"relation":"funds","created_at":"2021-09-30T09:27:35.266Z","updated_at":"2021-09-30T09:27:35.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":2324,"name":"Physiome Project","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5666,"fairsharing_record_id":434,"organisation_id":2138,"relation":"funds","created_at":"2021-09-30T09:27:35.299Z","updated_at":"2021-09-30T09:27:35.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":2138,"name":"@neurIST, Center for Computational and Simulation Technologies in Biomedicine, Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":5668,"fairsharing_record_id":434,"organisation_id":1037,"relation":"funds","created_at":"2021-09-30T09:27:35.350Z","updated_at":"2021-09-30T09:27:35.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":1037,"name":"FoRST, New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5670,"fairsharing_record_id":434,"organisation_id":1775,"relation":"funds","created_at":"2021-09-30T09:27:35.425Z","updated_at":"2021-09-30T09:27:35.425Z","grant_id":null,"is_lead":false,"saved_state":{"id":1775,"name":"Maurice Wilkins Center for Molecular Biodiscovery, Auckland, New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"435","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.072Z","metadata":{"doi":"10.25504/FAIRsharing.mtmsgm","name":"Cereal Plant Gross Anatomy Ontology","status":"uncertain","contacts":[{"contact_name":"General Enquiries","contact_email":"po-discuss@plantontology.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/1001","identifier":435,"description":"Cereal plant gross anatomy is a structured controlled vocabulary for the anatomy of Gramineae. Please note that this ontology has now been superseded by the Plant Ontology.","abbreviation":"GRO CPGA","year_creation":2012,"cross_references":[{"url":"http://www.obofoundry.org/ontology/gro.html","name":"gro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002631","bsg-s002631"],"name":"FAIRsharing record for: Cereal Plant Gross Anatomy Ontology","abbreviation":"GRO CPGA","url":"https://fairsharing.org/10.25504/FAIRsharing.mtmsgm","doi":"10.25504/FAIRsharing.mtmsgm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cereal plant gross anatomy is a structured controlled vocabulary for the anatomy of Gramineae. Please note that this ontology has now been superseded by the Plant Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Morphology","Structure"],"taxonomies":["Gramineae","Poaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5673,"fairsharing_record_id":435,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:35.535Z","updated_at":"2021-09-30T09:27:35.535Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5671,"fairsharing_record_id":435,"organisation_id":2332,"relation":"maintains","created_at":"2021-09-30T09:27:35.458Z","updated_at":"2021-09-30T09:27:35.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":2332,"name":"Plant Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5672,"fairsharing_record_id":435,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:35.495Z","updated_at":"2021-09-30T09:27:35.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5674,"fairsharing_record_id":435,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:27:35.567Z","updated_at":"2021-09-30T09:27:35.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"438","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T08:59:47.096Z","metadata":{"doi":"10.25504/FAIRsharing.tn873z","name":"INSD sequence record XML","status":"ready","homepage":"http://www.insdc.org/documents/xml-status","identifier":438,"description":"The International Nucleotide Sequence Database Collaboration (INSDC) is a long-standing foundational initiative that operates between DDBJ, EMBL-EBI and NCBI. INSDC covers the spectrum of data raw reads, though alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. The INSDSeq is the official supported XML format of the International Nucleotide Sequence Database Collaboration (INSDC). The current production version of the XML is INSDSeq v1.5.","abbreviation":"INSDSeq","support_links":[{"url":"http://www.insdc.org/documents","name":"INSDC Documents","type":"Help documentation"}],"year_creation":1988},"legacy_ids":["bsg-000240","bsg-s000240"],"name":"FAIRsharing record for: INSD sequence record XML","abbreviation":"INSDSeq","url":"https://fairsharing.org/10.25504/FAIRsharing.tn873z","doi":"10.25504/FAIRsharing.tn873z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Nucleotide Sequence Database Collaboration (INSDC) is a long-standing foundational initiative that operates between DDBJ, EMBL-EBI and NCBI. INSDC covers the spectrum of data raw reads, though alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. The INSDSeq is the official supported XML format of the International Nucleotide Sequence Database Collaboration (INSDC). The current production version of the XML is INSDSeq v1.5.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","France","Greece","Japan","United Kingdom","United States"],"publications":[{"id":1565,"pubmed_id":27169596,"title":"Reminder to deposit DNA sequences.","year":2016,"url":"http://doi.org/10.1126/science.aaf7672","authors":"Blaxter M,Danchin A,Savakis B,Fukami-Kobayashi K,Kurokawa K,Sugano S,Roberts RJ,Salzberg SL,Wu CI","journal":"Science","doi":"10.1126/science.aaf7672","created_at":"2021-09-30T08:25:15.486Z","updated_at":"2021-09-30T08:25:15.486Z"},{"id":1566,"pubmed_id":27172038,"title":"Databases: Reminder to deposit DNA sequences.","year":2016,"url":"http://doi.org/10.1038/533179a","authors":"Salzberg SL","journal":"Nature","doi":"10.1038/533179a","created_at":"2021-09-30T08:25:15.592Z","updated_at":"2021-09-30T08:25:15.592Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":702,"relation":"undefined"},{"licence_name":"International Nucleotide Sequence Database Collaboration Policy","licence_id":446,"licence_url":"http://www.insdc.org/policy.html","link_id":1255,"relation":"undefined"}],"grants":[{"id":5677,"fairsharing_record_id":438,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:35.648Z","updated_at":"2021-09-30T09:27:35.648Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5678,"fairsharing_record_id":438,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:35.673Z","updated_at":"2021-09-30T09:27:35.673Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5680,"fairsharing_record_id":438,"organisation_id":2019,"relation":"maintains","created_at":"2021-09-30T09:27:35.723Z","updated_at":"2021-09-30T09:27:35.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9231,"fairsharing_record_id":438,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.064Z","updated_at":"2022-04-11T12:07:24.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"439","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-01-08T11:21:03.681Z","metadata":{"doi":"10.25504/FAIRsharing.k2dq5j","name":"Asthma Ontology","status":"ready","contacts":[{"contact_email":"harshana.liyanage@phc.ox.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/AO","citations":[],"identifier":439,"description":"An ontology which describes the medical terminology for asthmatic conditions.","abbreviation":"AO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AO","name":"AO","portal":"BioPortal"}]},"legacy_ids":["bsg-000866","bsg-s000866"],"name":"FAIRsharing record for: Asthma Ontology","abbreviation":"AO","url":"https://fairsharing.org/10.25504/FAIRsharing.k2dq5j","doi":"10.25504/FAIRsharing.k2dq5j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology which describes the medical terminology for asthmatic conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1142,"pubmed_id":30679295,"title":"Determinants of inter-practice variation in childhood asthma and respiratory infections: cross-sectional study of a national sentinel network.","year":2019,"url":"http://doi.org/10.1136/bmjopen-2018-024372","authors":"Hoang U,Liyanage H,Coyle R,Godden C,Jones S,Blair M,Rigby M,de Lusignan S","journal":"BMJ Open","doi":"10.1136/bmjopen-2018-024372","created_at":"2021-09-30T08:24:26.924Z","updated_at":"2021-09-30T08:24:26.924Z"}],"licence_links":[],"grants":[{"id":5681,"fairsharing_record_id":439,"organisation_id":541,"relation":"maintains","created_at":"2021-09-30T09:27:35.748Z","updated_at":"2021-09-30T09:27:35.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":541,"name":"Clinical Informatics \u0026 Health Outcomes Research Group, University of Surrey, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"441","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T11:20:23.039Z","metadata":{"doi":"10.25504/FAIRsharing.hakg7c","name":"Plant Phenology Ontology","status":"ready","contacts":[{"contact_name":"Brian Stucky","contact_email":"stuckyb@flmnh.ufl.edu"}],"homepage":"https://github.com/PlantPhenoOntology/PPO","citations":[{"doi":"10.3389/fpls.2018.00517","pubmed_id":29765382,"publication_id":2687}],"identifier":441,"description":"An ontology for describing the phenology of individual plants and populations of plants, and for integrating plant phenological data across sources and scales.","abbreviation":"PPO","support_links":[{"url":"https://github.com/PlantPhenoOntology/PPO/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"ppo-discuss@googlegroups.com","name":"PPO Discussion Mailing List","type":"Mailing list"},{"url":"https://github.com/PlantPhenoOntology/ppo/raw/master/documentation/ppo.pdf","name":"Ontology structure, entity relationships, and entity definitions","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PPO","name":"PPO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ppo.html","name":"ppo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001032","bsg-s001032"],"name":"FAIRsharing record for: Plant Phenology Ontology","abbreviation":"PPO","url":"https://fairsharing.org/10.25504/FAIRsharing.hakg7c","doi":"10.25504/FAIRsharing.hakg7c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing the phenology of individual plants and populations of plants, and for integrating plant phenological data across sources and scales.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Phenotype","Life cycle"],"taxonomies":["Viridiplantae"],"user_defined_tags":["Phenology"],"countries":["Sweden","United States"],"publications":[{"id":2687,"pubmed_id":29765382,"title":"The Plant Phenology Ontology: A New Informatics Resource for Large-Scale Integration of Plant Phenology Data.","year":2018,"url":"http://doi.org/10.3389/fpls.2018.00517","authors":"Stucky BJ,Guralnick R,Deck J,Denny EG,Bolmgren K,Walls R","journal":"Front Plant Sci","doi":"10.3389/fpls.2018.00517","created_at":"2021-09-30T08:27:30.080Z","updated_at":"2021-09-30T08:27:30.080Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1645,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"429","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2021-11-24T13:14:20.268Z","metadata":{"doi":"10.25504/FAIRsharing.q5xf99","name":"COPD Ontology","status":"ready","contacts":[{"contact_name":"Harshana Liyanage","contact_email":"harshana.liyanage@phc.ox.ac.uk"}],"homepage":"https://clininf.eu","identifier":429,"description":"The COPD Ontology is a biomedical ontology used for modelling concepts associated to chronic obstructive pulmonary disease in routine clinical databases. There are a no plans to revise this ontology in the near future and therefore the version shown in the BioPortal link should be considered the final version.","abbreviation":"COPDO","support_links":[{"url":"simon.delusignan@phc.ox.ac.uk","name":"Simon de Lusignan","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COPDO","name":"COPDO","portal":"BioPortal"}]},"legacy_ids":["bsg-000951","bsg-s000951"],"name":"FAIRsharing record for: COPD Ontology","abbreviation":"COPDO","url":"https://fairsharing.org/10.25504/FAIRsharing.q5xf99","doi":"10.25504/FAIRsharing.q5xf99","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COPD Ontology is a biomedical ontology used for modelling concepts associated to chronic obstructive pulmonary disease in routine clinical databases. There are a no plans to revise this ontology in the near future and therefore the version shown in the BioPortal link should be considered the final version.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12524}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5654,"fairsharing_record_id":429,"organisation_id":541,"relation":"maintains","created_at":"2021-09-30T09:27:34.812Z","updated_at":"2021-09-30T09:27:34.812Z","grant_id":null,"is_lead":false,"saved_state":{"id":541,"name":"Clinical Informatics \u0026 Health Outcomes Research Group, University of Surrey, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"430","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T15:17:43.000Z","updated_at":"2024-03-06T11:54:03.812Z","metadata":{"doi":"10.25504/FAIRsharing.53edcc","name":"MAP","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#map","identifier":430,"description":"Variant information file accompanying a .ped text pedigree + genotype table.","abbreviation":"MAP"},"legacy_ids":["bsg-001482","bsg-s001482"],"name":"FAIRsharing record for: MAP","abbreviation":"MAP","url":"https://fairsharing.org/10.25504/FAIRsharing.53edcc","doi":"10.25504/FAIRsharing.53edcc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Variant information file accompanying a .ped text pedigree + genotype table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Virology","Life Science","Epidemiology"],"domains":["Chromosome","Sequence variant"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"431","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:06:23.573Z","metadata":{"doi":"10.25504/FAIRsharing.rvz0m9","name":"Ontology for General Medical Science","status":"ready","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"rscheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"https://github.com/OGMS/ogms","citations":[],"identifier":431,"description":"The Ontology for General Medical Science (OGMS) is an ontology of entities involved in a clinical encounter. OGMS includes very general terms that are used across medical disciplines, including: 'disease', 'disorder', 'disease course', 'diagnosis', 'patient', and 'healthcare provider'. The scope of OGMS is restricted to humans, but many terms can be applied to a variety of organisms. OGMS provides a formal theory of disease that can be further elaborated by specific disease ontologies.","abbreviation":"OGMS","support_links":[{"url":"https://github.com/OGMS/ogms/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://groups.google.com/group/ogms-discuss","name":"Google Group","type":"Forum"},{"url":"https://drive.google.com/drive/folders/1pSAYgVJHUxIZ0ZlxYbA4gGql8JKvETh4","name":"Meeting notes","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGMS","name":"OGMS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogms.html","name":"ogms","portal":"OBO Foundry"},{"url":"https://code.google.com/archive/p/ogms/","name":"Google Code Archive","portal":"Other"}]},"legacy_ids":["bsg-000115","bsg-s000115"],"name":"FAIRsharing record for: Ontology for General Medical Science","abbreviation":"OGMS","url":"https://fairsharing.org/10.25504/FAIRsharing.rvz0m9","doi":"10.25504/FAIRsharing.rvz0m9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for General Medical Science (OGMS) is an ontology of entities involved in a clinical encounter. OGMS includes very general terms that are used across medical disciplines, including: 'disease', 'disorder', 'disease course', 'diagnosis', 'patient', and 'healthcare provider'. The scope of OGMS is restricted to humans, but many terms can be applied to a variety of organisms. OGMS provides a formal theory of disease that can be further elaborated by specific disease ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11948},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16996}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science"],"domains":["Cancer","Disease phenotype","Disease","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1030,"pubmed_id":24314207,"title":"The neurological disease ontology.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-42","authors":"Jensen M,Cox AP,Chaudhry N,Ng M,Sule D,Duncan W,Ray P,Weinstock-Guttman B,Smith B,Ruttenberg A,Szigeti K,Diehl AD","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-42","created_at":"2021-09-30T08:24:14.073Z","updated_at":"2021-09-30T08:24:14.073Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":320,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"426","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:20.205Z","metadata":{"doi":"10.25504/FAIRsharing.pbbnwa","name":"Orphanet Rare Diseases Ontology","status":"ready","contacts":[{"contact_name":"Ana Rath","contact_email":"ordo.orphanet@inserm.fr","contact_orcid":"0000-0003-4308-6337"}],"homepage":"http://www.orphadata.org/cgi-bin/inc/ordo_orphanet.inc.php","identifier":426,"description":"Orphanet Rare Diseases Ontology (ORDO) provide a structured vocabulary for rare diseases capturing relationships between diseases, genes and other relevant features which will form a useful resource for the computational analysis of rare diseases.","abbreviation":"ORDO","support_links":[{"url":"https://listes.inserm.fr/sympa/subscribe/ordo-users.orphanet","name":"ORDO users mailing list","type":"Mailing list"},{"url":"http://www.orphadata.org/cgi-bin/inc/ordo_orphanet.inc.php","name":"Information and release notes","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ORDO","name":"ORDO","portal":"BioPortal"}]},"legacy_ids":["bsg-002716","bsg-s002716"],"name":"FAIRsharing record for: Orphanet Rare Diseases Ontology","abbreviation":"ORDO","url":"https://fairsharing.org/10.25504/FAIRsharing.pbbnwa","doi":"10.25504/FAIRsharing.pbbnwa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Orphanet Rare Diseases Ontology (ORDO) provide a structured vocabulary for rare diseases capturing relationships between diseases, genes and other relevant features which will form a useful resource for the computational analysis of rare diseases.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18251},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12028},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16975}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science"],"domains":["Rare disease","Phenotype","Disease","Diagnosis","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","European Union"],"publications":[{"id":2125,"pubmed_id":22874158,"title":"Rare diseases knowledge management: the contribution of proximity measurements in OntoOrpha and OMIM.","year":2012,"url":"https://www.ncbi.nlm.nih.gov/pubmed/22874158","authors":"Aime X,Charlet J,Furst F,Kuntz P,Trichet F,Dhombres F","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:26:19.565Z","updated_at":"2021-09-30T08:26:19.565Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":120,"relation":"undefined"}],"grants":[{"id":5649,"fairsharing_record_id":426,"organisation_id":2276,"relation":"maintains","created_at":"2021-09-30T09:27:34.603Z","updated_at":"2021-09-30T09:27:34.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":2276,"name":"Orphadata","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5647,"fairsharing_record_id":426,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:27:34.547Z","updated_at":"2021-09-30T09:27:34.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5648,"fairsharing_record_id":426,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:27:34.572Z","updated_at":"2021-09-30T09:27:34.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"427","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T13:19:22.000Z","updated_at":"2023-06-21T09:13:21.985Z","metadata":{"doi":"10.25504/FAIRsharing.820ef3","name":"GenePix Results Format","status":"ready","contacts":[{"contact_name":"General Contact Europe","contact_email":"infoboxeu@moldev.com"}],"homepage":"https://support.moleculardevices.com/s/article/GenePix-File-Formats#gpr","citations":[],"identifier":427,"description":"The GenePix Results Format (GPR) contains general information about microarray image acquisition and analysis, as well as the data extracted from each individual feature. It was originally developed as the output format for GenePix software.","abbreviation":"GPR","support_links":[{"url":"techsupport.eu@moldev.com","name":"Technical Support Europe","type":"Support email"},{"url":"https://support.moleculardevices.com/s/article/GenePix-Pro-Results-File-Format-History","name":"GPR Format History","type":"Help documentation"}]},"legacy_ids":["bsg-001589","bsg-s001589"],"name":"FAIRsharing record for: GenePix Results Format","abbreviation":"GPR","url":"https://fairsharing.org/10.25504/FAIRsharing.820ef3","doi":"10.25504/FAIRsharing.820ef3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GenePix Results Format (GPR) contains general information about microarray image acquisition and analysis, as well as the data extracted from each individual feature. It was originally developed as the output format for GenePix software.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12137}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genetics","Life Science","Digital Image Processing"],"domains":["Expression data","Image","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5650,"fairsharing_record_id":427,"organisation_id":1888,"relation":"maintains","created_at":"2021-09-30T09:27:34.658Z","updated_at":"2021-09-30T09:27:34.658Z","grant_id":null,"is_lead":true,"saved_state":{"id":1888,"name":"Molecular Devices LLC, San Jose, CA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"428","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-30T15:43:49.672Z","metadata":{"doi":"10.25504/FAIRsharing.vajn3f","name":"Rat Strain Ontology","status":"ready","contacts":[{"contact_name":"Rajni Nigam","contact_email":"rnigam@mcw.edu"}],"homepage":"http://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=RS:0000457","citations":[],"identifier":428,"description":"This ontology defines the hierarchical display of the different rat strains as derived from the parental strains.","abbreviation":"RS","support_links":[{"url":"https://rgd.mcw.edu/wg/help3/data/ontologies/","name":"About Ontologies","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RS","name":"RS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/rs.html","name":"rs","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002625","bsg-s002625"],"name":"FAIRsharing record for: Rat Strain Ontology","abbreviation":"RS","url":"https://fairsharing.org/10.25504/FAIRsharing.vajn3f","doi":"10.25504/FAIRsharing.vajn3f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology defines the hierarchical display of the different rat strains as derived from the parental strains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Mutation","Genetic strain"],"taxonomies":["Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":906,"pubmed_id":23603846,"title":"PhenoMiner: quantitative phenotype curation at the rat genome database.","year":2013,"url":"http://doi.org/10.1093/database/bat015","authors":"Laulederkind SJ,Liu W,Smith JR,Hayman GT,Wang SJ,Nigam R,Petri V,Lowry TF,de Pons J,Dwinell MR,Shimoyama M","journal":"Database (Oxford)","doi":"10.1093/database/bat015","created_at":"2021-09-30T08:24:00.037Z","updated_at":"2021-09-30T08:24:00.037Z"},{"id":1735,"pubmed_id":24267899,"title":"Rat Strain Ontology: structured controlled vocabulary designed to facilitate access to strain data at RGD.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-36","authors":"Nigam R,Munzenmaier DH,Worthey EA,Dwinell MR,Shimoyama M,Jacob HJ","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-36","created_at":"2021-09-30T08:25:34.670Z","updated_at":"2021-09-30T08:25:34.670Z"}],"licence_links":[],"grants":[{"id":5652,"fairsharing_record_id":428,"organisation_id":2468,"relation":"maintains","created_at":"2021-09-30T09:27:34.736Z","updated_at":"2021-09-30T09:27:34.736Z","grant_id":null,"is_lead":false,"saved_state":{"id":2468,"name":"RS Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5651,"fairsharing_record_id":428,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:27:34.695Z","updated_at":"2021-09-30T09:27:34.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5653,"fairsharing_record_id":428,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:34.774Z","updated_at":"2021-09-30T09:31:21.234Z","grant_id":1131,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HL64541","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"436","type":"fairsharing_records","attributes":{"created_at":"2015-06-25T15:00:55.000Z","updated_at":"2022-07-20T11:25:33.950Z","metadata":{"doi":"10.25504/FAIRsharing.rk682s","name":"BioProject XML Schema","status":"ready","contacts":[{"contact_name":"BioProject Help","contact_email":"bioprojecthelp@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/data_specs/schema/other/bioproject/","identifier":436,"description":"This is a XML Schema specification of BioProject data. A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project.","abbreviation":null,"support_links":[{"url":"barrett@ncbi.nlm.nih.gov","name":"Tanya Barrett","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/bioproject/docs/faq/","name":"BioProject FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK54016","name":"NCBI Help Manual: BioProject","type":"Help documentation"}]},"legacy_ids":["bsg-000598","bsg-s000598"],"name":"FAIRsharing record for: BioProject XML Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.rk682s","doi":"10.25504/FAIRsharing.rk682s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a XML Schema specification of BioProject data. A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11201}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Annotation","Genomic assembly","Sequencing","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":514,"pubmed_id":22139929,"title":"BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1163","authors":"Barrett T,Clark K,Gevorgyan R,Gorelenkov V,Gribov E,Karsch-Mizrachi I,Kimelman M,Pruitt KD,Resenchuk S,Tatusova T,Yaschenko E,Ostell J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1163","created_at":"2021-09-30T08:23:16.098Z","updated_at":"2021-09-30T11:28:46.975Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":794,"relation":"undefined"}],"grants":[{"id":5675,"fairsharing_record_id":436,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:35.599Z","updated_at":"2021-09-30T09:27:35.599Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"437","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-07-20T12:33:26.738Z","metadata":{"doi":"10.25504/FAIRsharing.ckd4rf","name":"Alzheimer's Disease Ontology","status":"ready","contacts":[{"contact_name":"Martin Hofmann-Apitius","contact_email":"martin.hofmann-apitius@scai.fraunhofer.de"}],"homepage":"https://bioportal.bioontology.org/ontologies/ADO","identifier":437,"description":"The Alzheimer's Disease Ontology (ADO) is an ontology representing relevant knowledge on Alzheimer’s disease. ADO was developed with the purpose of containing information relevant to four main biological views—preclinical, clinical, etiological, and molecular/cellular mechanisms—and contains synonyms and references.","abbreviation":"ADO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ADO","name":"ADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000871","bsg-s000871"],"name":"FAIRsharing record for: Alzheimer's Disease Ontology","abbreviation":"ADO","url":"https://fairsharing.org/10.25504/FAIRsharing.ckd4rf","doi":"10.25504/FAIRsharing.ckd4rf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Alzheimer's Disease Ontology (ADO) is an ontology representing relevant knowledge on Alzheimer’s disease. ADO was developed with the purpose of containing information relevant to four main biological views—preclinical, clinical, etiological, and molecular/cellular mechanisms—and contains synonyms and references.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12232}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Alzheimer’s disease"],"countries":["Germany"],"publications":[{"id":2576,"pubmed_id":23830913,"title":"ADO: a disease ontology representing the domain knowledge specific to Alzheimer's disease.","year":2013,"url":"http://doi.org/10.1016/j.jalz.2013.02.009","authors":"Malhotra A,Younesi E,Gundel M,Muller B,Heneka MT,Hofmann-Apitius M","journal":"Alzheimers Dement","doi":"10.1016/j.jalz.2013.02.009","created_at":"2021-09-30T08:27:15.954Z","updated_at":"2021-09-30T08:27:15.954Z"}],"licence_links":[],"grants":[{"id":5676,"fairsharing_record_id":437,"organisation_id":1048,"relation":"maintains","created_at":"2021-09-30T09:27:35.623Z","updated_at":"2021-09-30T09:27:35.623Z","grant_id":null,"is_lead":true,"saved_state":{"id":1048,"name":"Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"547","type":"fairsharing_records","attributes":{"created_at":"2020-01-08T20:11:29.000Z","updated_at":"2023-12-01T08:26:05.284Z","metadata":{"name":"Animal Diseases Ontology","status":"deprecated","contacts":[{"contact_name":"Sophie Aubin","contact_email":"sophie.aubin@inra.fr"}],"homepage":"https://doi.org/10.15454/1.44525654526207E12","citations":[],"identifier":547,"description":"The Animal Diseases Ontology (ANDO) includes information on diseases of production animals and their related pathogenic agents in French and English.","abbreviation":"ANDO","year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This homepage for this resource no longer exists, and therefore this record has been deprecated. Please let us know if you have information regarding ANDO."},"legacy_ids":["bsg-001428","bsg-s001428"],"name":"FAIRsharing record for: Animal Diseases Ontology","abbreviation":"ANDO","url":"https://fairsharing.org/fairsharing_records/547","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Animal Diseases Ontology (ANDO) includes information on diseases of production animals and their related pathogenic agents in French and English.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Husbandry","Veterinary Medicine","Pathology"],"domains":["Disease"],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":208,"relation":"undefined"}],"grants":[{"id":5854,"fairsharing_record_id":547,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:41.037Z","updated_at":"2021-09-30T09:27:41.037Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"548","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T13:08:22.319Z","metadata":{"doi":"10.25504/FAIRsharing.95n1ns","name":"National Agricultural Library Thesaurus","status":"ready","contacts":[{"contact_name":"NALT Helpdesk","contact_email":"AgRefQuestion@libraryresearch.info"}],"homepage":"https://agclass.nal.usda.gov/","identifier":548,"description":"The National Agricultural Library Thesaurus (NALT) is an online vocabulary of agricultural terms in English and Spanish. The Agricultural Thesaurus and Glossary were first released by the National Agricultural Library in 2002. In 2007, NAL and the Inter-American Institute for Cooperation on Agriculture (IICA) collaborated to develop the Spanish version of the NAL Agricultural Thesaurus and Glossary, named Tesauro Agricola y Glosario. The thesaurus is primarily used for indexing and for improving retrieval of agricultural information. The subject scope of agriculture is broadly defined in the thesaurus, and includes terminology in the supporting biological, physical and social sciences. Biological nomenclature comprises a majority of the terms in the thesaurus, with political geography mainly described at the country level.","abbreviation":"NALT","support_links":[{"url":"https://agclass.nal.usda.gov/contact.shtml","name":"Contact Page","type":"Contact form"},{"url":"sujata.suri@ars.usda.gov","name":"sujata.suri@ars.usda.gov","type":"Support email"},{"url":"https://agclass.nal.usda.gov/help.shtml","name":"Help Page","type":"Help documentation"},{"url":"https://agclass.nal.usda.gov/about.shtml","name":"About NALT","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-001121","bsg-s001121"],"name":"FAIRsharing record for: National Agricultural Library Thesaurus","abbreviation":"NALT","url":"https://fairsharing.org/10.25504/FAIRsharing.95n1ns","doi":"10.25504/FAIRsharing.95n1ns","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Agricultural Library Thesaurus (NALT) is an online vocabulary of agricultural terms in English and Spanish. The Agricultural Thesaurus and Glossary were first released by the National Agricultural Library in 2002. In 2007, NAL and the Inter-American Institute for Cooperation on Agriculture (IICA) collaborated to develop the Spanish version of the NAL Agricultural Thesaurus and Glossary, named Tesauro Agricola y Glosario. The thesaurus is primarily used for indexing and for improving retrieval of agricultural information. The subject scope of agriculture is broadly defined in the thesaurus, and includes terminology in the supporting biological, physical and social sciences. Biological nomenclature comprises a majority of the terms in the thesaurus, with political geography mainly described at the country level.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Botany","Economics","Environmental Science","Engineering Science","Animal Genetics","Plant Breeding","Social Science","Health Science","Animal Husbandry","Entomology","Agricultural Engineering","Earth Science","Agriculture","Life Science","Nutritional Science","Jurisprudence","Biology","Pathology"],"domains":["Taxonomic classification","Geographical location","Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Argentina","Brazil","Colombia","Costa Rica","Cuba","Dominican Republic","Ecuador","El Salvador","Guatemala","Honduras","Jamaica","Mexico","Nicaragua","Panama","Paraguay","Peru","Suriname","Trinidad and Tobago","United States","Uruguay","Venezuela","Bolivia"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":437,"relation":"undefined"}],"grants":[{"id":5857,"fairsharing_record_id":548,"organisation_id":45,"relation":"maintains","created_at":"2021-09-30T09:27:41.114Z","updated_at":"2021-09-30T09:27:41.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":45,"name":"Agriculture Information and Documentation Service of the Americas (SIDALC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5855,"fairsharing_record_id":548,"organisation_id":1948,"relation":"maintains","created_at":"2021-09-30T09:27:41.064Z","updated_at":"2021-09-30T09:27:41.064Z","grant_id":null,"is_lead":true,"saved_state":{"id":1948,"name":"National Agricultural Library (NAL)","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5856,"fairsharing_record_id":548,"organisation_id":1465,"relation":"maintains","created_at":"2021-09-30T09:27:41.087Z","updated_at":"2021-09-30T09:27:41.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":1465,"name":"Inter-American Institute for Cooperation on Agriculture (IICA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"549","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:29:15.759Z","metadata":{"doi":"10.25504/FAIRsharing.2q8c28","name":"Infection Disease Ontology Malaria","status":"ready","contacts":[{"contact_name":"Pantelis Topalis","contact_email":"topalis@imbb.forth.gr","contact_orcid":"0000-0002-1635-4810"}],"homepage":"https://www.vectorbase.org/ontology-browser","citations":[{"doi":"10.1186/2041-1480-4-16","pubmed_id":24034841,"publication_id":987}],"identifier":549,"description":"An application ontology for malaria extending the infectious disease ontology (IDO). With about half a billion cases, of which nearly one million fatal ones, malaria constitutes one of the major infectious diseases worldwide. A recently revived effort to eliminate the disease also focuses on IT resources for its efficient control, which prominently includes the control of the mosquito vectors that transmit the Plasmodium pathogens. As part of this effort, IDOMAL has been developed and it is continually being updated.","abbreviation":"IDOMAL","support_links":[{"url":"https://www.vectorbase.org/contact","type":"Contact form"},{"url":"info@vectorbase.org","name":"General contact","type":"Support email"},{"url":"https://twitter.com/VectorBase","name":"Twitter","type":"Twitter"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IDOMAL","name":"IDOMAL","portal":"BioPortal"}]},"legacy_ids":["bsg-000104","bsg-s000104"],"name":"FAIRsharing record for: Infection Disease Ontology Malaria","abbreviation":"IDOMAL","url":"https://fairsharing.org/10.25504/FAIRsharing.2q8c28","doi":"10.25504/FAIRsharing.2q8c28","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for malaria extending the infectious disease ontology (IDO). With about half a billion cases, of which nearly one million fatal ones, malaria constitutes one of the major infectious diseases worldwide. A recently revived effort to eliminate the disease also focuses on IT resources for its efficient control, which prominently includes the control of the mosquito vectors that transmit the Plasmodium pathogens. As part of this effort, IDOMAL has been developed and it is continually being updated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Infection Biology","Life Science","Biomedical Science"],"domains":["Malaria","Pathogen","Intervention design","Disease"],"taxonomies":["Anopheles gambiae","Culicidae","Homo sapiens","Plasmodium","Plasmodium falciparum"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":987,"pubmed_id":24034841,"title":"IDOMAL: the malaria ontology revisited.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-16","authors":"Topalis P,Mitraka E,Dritsou V,Dialynas E,Louis C","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-16","created_at":"2021-09-30T08:24:09.255Z","updated_at":"2021-09-30T08:24:09.255Z"},{"id":988,"pubmed_id":20698959,"title":"IDOMAL: an ontology for malaria.","year":2010,"url":"http://doi.org/10.1186/1475-2875-9-230","authors":"Topalis P,Mitraka E,Bujila I,Deligianni E,Dialynas E,Siden-Kiamos I,Troye-Blomberg M,Louis C","journal":"Malar J","doi":"10.1186/1475-2875-9-230","created_at":"2021-09-30T08:24:09.363Z","updated_at":"2021-09-30T08:24:09.363Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1512,"relation":"undefined"}],"grants":[{"id":5860,"fairsharing_record_id":549,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:41.196Z","updated_at":"2021-09-30T09:29:21.150Z","grant_id":208,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","grant":"LSHP-CT-2004-503578","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8338,"fairsharing_record_id":549,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:09.708Z","updated_at":"2021-09-30T09:32:09.762Z","grant_id":1495,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7 201588","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5859,"fairsharing_record_id":549,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:41.173Z","updated_at":"2021-09-30T09:27:41.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5858,"fairsharing_record_id":549,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:41.137Z","updated_at":"2021-09-30T09:30:11.164Z","grant_id":589,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7 223736","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5861,"fairsharing_record_id":549,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:27:41.221Z","updated_at":"2021-09-30T09:28:59.790Z","grant_id":46,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200900039C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7887,"fairsharing_record_id":549,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:29:26.023Z","updated_at":"2021-09-30T09:29:26.066Z","grant_id":248,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","grant":"HEALTH-F3-2009-242095","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8174,"fairsharing_record_id":549,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:31:20.297Z","updated_at":"2021-09-30T09:31:20.352Z","grant_id":1125,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN266200400039C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"550","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-12-23T18:06:25.888Z","metadata":{"doi":"10.25504/FAIRsharing.vdenk6","name":"Phylogenetic Ontology","status":"ready","contacts":[{"contact_name":"maryam panahiazar","contact_email":"mp@uga.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/PHYLONT","citations":[],"identifier":550,"description":"Ontology for Phylogenetic Analysis","abbreviation":"PHYLONT","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHYLONT","name":"PHYLONT","portal":"BioPortal"}]},"legacy_ids":["bsg-001063","bsg-s001063"],"name":"FAIRsharing record for: Phylogenetic Ontology","abbreviation":"PHYLONT","url":"https://fairsharing.org/10.25504/FAIRsharing.vdenk6","doi":"10.25504/FAIRsharing.vdenk6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Phylogenetic Analysis","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Phylogenetics"],"domains":["Mathematical model","Evolution"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"539","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:19:23.411Z","metadata":{"doi":"10.25504/FAIRsharing.9h5j8c","name":"The CXI File Format for Coherent X-ray Imaging","status":"ready","contacts":[{"contact_name":"Filipe Maia","contact_email":"cxidb@cxidb.org","contact_orcid":"0000-0002-2141-438X"}],"homepage":"http://cxidb.org/cxi.html","citations":[],"identifier":539,"description":"The CXI file format was created as common format for all the data in the Coherent X-ray Imaging Data Bank (CXIDB). Naturally its scope is all experimental data collected during Coherent X-ray Imaging experiments as well as all data generated during the analysis of the experimental data.","abbreviation":"CXI","support_links":[{"url":"http://cxidb.org/mission.html","type":"Help documentation"}],"associated_tools":[{"url":"http://www.desy.de/~twhite/crystfel/index.html","name":"CrystFEL"},{"url":"http://www.desy.de/~barty/cheetah/Cheetah/Welcome.html","name":"Cheetah"},{"url":"http://fxihub.github.io/hummingbird/","name":"Hummingbird"},{"url":"https://github.com/FXIhub/owl","name":"Owl"}]},"legacy_ids":["bsg-000542","bsg-s000542"],"name":"FAIRsharing record for: The CXI File Format for Coherent X-ray Imaging","abbreviation":"CXI","url":"https://fairsharing.org/10.25504/FAIRsharing.9h5j8c","doi":"10.25504/FAIRsharing.9h5j8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CXI file format was created as common format for all the data in the Coherent X-ray Imaging Data Bank (CXIDB). Naturally its scope is all experimental data collected during Coherent X-ray Imaging experiments as well as all data generated during the analysis of the experimental data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","X-ray diffraction","Imaging"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Sweden","United States"],"publications":[{"id":647,"pubmed_id":22936162,"title":"The Coherent X-ray Imaging Data Bank","year":2012,"url":"http://doi.org/10.1038/nmeth.2110","authors":"Maia, F. R. N. C.","journal":"Nat. Methods","doi":"doi:10.1038/nmeth.2110","created_at":"2021-09-30T08:23:31.213Z","updated_at":"2021-09-30T08:23:31.213Z"}],"licence_links":[],"grants":[{"id":5837,"fairsharing_record_id":539,"organisation_id":2524,"relation":"funds","created_at":"2021-09-30T09:27:40.599Z","updated_at":"2021-09-30T09:27:40.599Z","grant_id":null,"is_lead":false,"saved_state":{"id":2524,"name":"Scientific Discovery Through Advanced Computing, U.S. Department of Energy, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5840,"fairsharing_record_id":539,"organisation_id":2672,"relation":"funds","created_at":"2021-09-30T09:27:40.679Z","updated_at":"2021-09-30T09:27:40.679Z","grant_id":null,"is_lead":false,"saved_state":{"id":2672,"name":"Swedish Foundation for Strategic Research, Stockholm, Sweden","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5833,"fairsharing_record_id":539,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:27:40.463Z","updated_at":"2021-09-30T09:27:40.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5835,"fairsharing_record_id":539,"organisation_id":1985,"relation":"maintains","created_at":"2021-09-30T09:27:40.513Z","updated_at":"2021-09-30T09:27:40.513Z","grant_id":null,"is_lead":false,"saved_state":{"id":1985,"name":"National Energy Research Scientific Computing Center (NERSC), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5836,"fairsharing_record_id":539,"organisation_id":1985,"relation":"funds","created_at":"2021-09-30T09:27:40.535Z","updated_at":"2021-09-30T09:27:40.535Z","grant_id":null,"is_lead":false,"saved_state":{"id":1985,"name":"National Energy Research Scientific Computing Center (NERSC), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5838,"fairsharing_record_id":539,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:27:40.631Z","updated_at":"2021-09-30T09:27:40.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5839,"fairsharing_record_id":539,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:40.654Z","updated_at":"2021-09-30T09:27:40.654Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9317,"fairsharing_record_id":539,"organisation_id":1691,"relation":"funds","created_at":"2022-04-11T12:07:29.967Z","updated_at":"2022-04-11T12:07:29.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9411,"fairsharing_record_id":539,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.511Z","updated_at":"2022-04-11T12:07:36.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"540","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:33.000Z","updated_at":"2022-11-01T11:58:05.477Z","metadata":{"doi":"10.25504/FAIRsharing.A2W4nz","name":"FAIR Metrics - Metadata Longevity","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_A2","citations":[],"identifier":540,"description":"FM-A2 measures the existence of metadata even in the absence/removal of data. Cross-references to data from a third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data. This metric requires a URL to a formal metadata longevity plan. This metric applies to part A2 of the FAIR Principles.","abbreviation":"FM-A2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001349","bsg-s001349"],"name":"FAIRsharing record for: FAIR Metrics - Metadata Longevity","abbreviation":"FM-A2","url":"https://fairsharing.org/10.25504/FAIRsharing.A2W4nz","doi":"10.25504/FAIRsharing.A2W4nz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-A2 measures the existence of metadata even in the absence/removal of data. Cross-references to data from a third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data. This metric requires a URL to a formal metadata longevity plan. This metric applies to part A2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1407,"relation":"undefined"}],"grants":[{"id":5844,"fairsharing_record_id":540,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:40.787Z","updated_at":"2021-09-30T09:27:40.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5842,"fairsharing_record_id":540,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:40.738Z","updated_at":"2021-09-30T09:27:40.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5843,"fairsharing_record_id":540,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:40.763Z","updated_at":"2021-09-30T09:27:40.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5845,"fairsharing_record_id":540,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:40.813Z","updated_at":"2021-09-30T09:27:40.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"541","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:20.907Z","metadata":{"doi":"10.25504/FAIRsharing.dvxkzb","name":"CDISC Analysis Data Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/adam","identifier":541,"description":"ADaM defines dataset and metadata standards that support the efficient generation, replication, and review of clinical trial statistical analyses, and traceability among analysis results, analysis data, and data represented in the Study Data Tabulation Model (SDTM).​","abbreviation":"CDISC ADaM","support_links":[{"url":"https://www.cdisc.org/education/course/adam-primer","name":"ADaM Primer","type":"Training documentation"},{"url":"https://www.cdisc.org/education/course/adam-theory-and-application","name":"ADaM Theory and Application","type":"Training documentation"}]},"legacy_ids":["bsg-000001","bsg-s000001"],"name":"FAIRsharing record for: CDISC Analysis Data Model","abbreviation":"CDISC ADaM","url":"https://fairsharing.org/10.25504/FAIRsharing.dvxkzb","doi":"10.25504/FAIRsharing.dvxkzb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ADaM defines dataset and metadata standards that support the efficient generation, replication, and review of clinical trial statistical analyses, and traceability among analysis results, analysis data, and data represented in the Study Data Tabulation Model (SDTM).​","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17396},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11265},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11802},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11938},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12401},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16961}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Analysis","Data model","Data transformation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5847,"fairsharing_record_id":541,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:27:40.863Z","updated_at":"2021-09-30T09:27:40.863Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":5846,"fairsharing_record_id":541,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:27:40.837Z","updated_at":"2021-09-30T09:27:40.837Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":5848,"fairsharing_record_id":541,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:40.887Z","updated_at":"2021-09-30T09:27:40.887Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5849,"fairsharing_record_id":541,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:27:40.913Z","updated_at":"2021-09-30T09:27:40.913Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"542","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:25.265Z","metadata":{"doi":"10.25504/FAIRsharing.feb85q","name":"Structured Descriptive Data","status":"ready","contacts":[{"contact_name":"Gregor Hagedorn","contact_email":"g.m.hagedorn@gmail.com"}],"homepage":"http://www.tdwg.org/standards/116/","identifier":542,"description":"In taxonomy, descriptive data takes a number of very different forms. The goal of the Structured Descriptive Data (SDD) standard is to allow capture, transport, caching and archiving of descriptive data in all of its varied forms, using a platform- and application-independent, international standard. Such a standard is crucial to enabling lossless porting of data between existing and future software platforms including identification, data-mining and analysis tools, and federated databases.","abbreviation":"SDD","support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://wiki.tdwg.org/twiki/bin/view/SDD/WebHome","type":"Help documentation"},{"url":"https://github.com/tdwg/sdd","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-000198","bsg-s000198"],"name":"FAIRsharing record for: Structured Descriptive Data","abbreviation":"SDD","url":"https://fairsharing.org/10.25504/FAIRsharing.feb85q","doi":"10.25504/FAIRsharing.feb85q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In taxonomy, descriptive data takes a number of very different forms. The goal of the Structured Descriptive Data (SDD) standard is to allow capture, transport, caching and archiving of descriptive data in all of its varied forms, using a platform- and application-independent, international standard. Such a standard is crucial to enabling lossless porting of data between existing and future software platforms including identification, data-mining and analysis tools, and federated databases.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12272}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5850,"fairsharing_record_id":542,"organisation_id":256,"relation":"maintains","created_at":"2021-09-30T09:27:40.937Z","updated_at":"2021-09-30T09:27:40.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":256,"name":"Biological Descriptions (BD), Biological Descriptions interest group (TDWG), Berlin, Germany","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"543","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2021-12-02T10:59:17.936Z","metadata":{"doi":"10.25504/FAIRsharing.75rf2e","name":"Nursing Care Coordination Ontology","status":"deprecated","contacts":[],"homepage":"http://bioportal.bioontology.org/ontologies/NCCO","citations":[],"identifier":543,"description":"Nursing Care Coordination Ontology contains activities that nurses use while coordinating care among patients.","abbreviation":"NCCO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCCO","name":"NCCO","portal":"BioPortal"}],"deprecation_date":"2021-12-02","deprecation_reason":"This resource has not been updated in BioPortal since its first upload in 2013, and no further information on the resource can be found. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001059","bsg-s001059"],"name":"FAIRsharing record for: Nursing Care Coordination Ontology","abbreviation":"NCCO","url":"https://fairsharing.org/10.25504/FAIRsharing.75rf2e","doi":"10.25504/FAIRsharing.75rf2e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Nursing Care Coordination Ontology contains activities that nurses use while coordinating care among patients.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12529}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":["Nurse"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"544","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-03-10T13:28:08.963Z","metadata":{"doi":"10.25504/FAIRsharing.qhn29e","name":"Core Attributes of Biological Databases","status":"ready","contacts":[{"contact_name":"Peter McQuilton","contact_email":"peter.mcquilton@oerc.ox.ac.uk"}],"homepage":"http://biocuration.org/community/standards-biodbcore/","citations":[{"doi":"10.1093/database/baq027","pubmed_id":21205783,"publication_id":2311}],"identifier":544,"description":"BioDBCore is a community-defined, uniform, generic description of the core attributes of biological databases. The BioDBCore checklist is overseen by the International Society for Biocuration (ISB), in collaboration with FAIRsharing.","abbreviation":"BioDBCore","support_links":[{"url":"http://biocuration.org/contact-the-isb/","type":"Contact form"},{"url":"intsocbio@gmail.com","type":"Support email"},{"url":"http://biocuration.org/community/standards-biodbcore/motivation/","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000162","bsg-s000162"],"name":"FAIRsharing record for: Core Attributes of Biological Databases","abbreviation":"BioDBCore","url":"https://fairsharing.org/10.25504/FAIRsharing.qhn29e","doi":"10.25504/FAIRsharing.qhn29e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioDBCore is a community-defined, uniform, generic description of the core attributes of biological databases. The BioDBCore checklist is overseen by the International Society for Biocuration (ISB), in collaboration with FAIRsharing.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11599}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":2311,"pubmed_id":21205783,"title":"Towards BioDBcore: a community-defined information specification for biological databases.","year":2011,"url":"http://doi.org/10.1093/database/baq027","authors":"Gaudet P,Bairoch A,Field D,Sansone SA,Taylor C,Attwood TK,Bateman A,Blake JA,Bult CJ,Cherry JM,Chisholm RL,Cochrane G,Cook CE,Eppig JT,Galperin MY,Gentleman R,Goble CA,Gojobori T,Hancock JM,Howe DG,Imanishi T,Kelso J,Landsman D,Lewis SE,Karsch Mizrachi I,Orchard S,Ouellette BF,Ranganathan S,Richardson L,Rocca-Serra P,Schofield PN,Smedley D,Southan C,Tan TW,Tatusova T,Whetzel PL,White O,Yamasaki C","journal":"Database (Oxford)","doi":"10.1093/database/baq027","created_at":"2021-09-30T08:26:43.503Z","updated_at":"2021-09-30T08:26:43.503Z"}],"licence_links":[],"grants":[{"id":5852,"fairsharing_record_id":544,"organisation_id":1516,"relation":"maintains","created_at":"2021-09-30T09:27:40.987Z","updated_at":"2021-09-30T09:27:40.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":1516,"name":"International Society for Biocuration (ISB)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8931,"fairsharing_record_id":544,"organisation_id":2281,"relation":"maintains","created_at":"2022-03-09T13:25:40.221Z","updated_at":"2022-03-09T13:25:40.221Z","grant_id":null,"is_lead":true,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"545","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-12-23T08:38:20.982Z","metadata":{"doi":"10.25504/FAIRsharing.p63yyx","name":"RBMS Controlled Vocabularies","status":"ready","contacts":[{"contact_name":"RBMS Controlled Vocabularies Editors","contact_email":"vocabularies@rbms.info"}],"homepage":"http://rbms.info/vocabularies/","citations":[],"identifier":545,"description":"These thesauri provide standardized vocabulary for retrieving special collections materials by form, genre, or by various physical characteristics that are typically of interest to researchers and special collections librarians, and for relating materials to individuals or corporate bodies.","abbreviation":"RBMS","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RBMS","name":"RBMS","portal":"BioPortal"}]},"legacy_ids":["bsg-001062","bsg-s001062"],"name":"FAIRsharing record for: RBMS Controlled Vocabularies","abbreviation":"RBMS","url":"https://fairsharing.org/10.25504/FAIRsharing.p63yyx","doi":"10.25504/FAIRsharing.p63yyx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These thesauri provide standardized vocabulary for retrieving special collections materials by form, genre, or by various physical characteristics that are typically of interest to researchers and special collections librarians, and for relating materials to individuals or corporate bodies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Literary Studies","Anthropology"],"domains":["Resource collection"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"565","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2024-01-28T09:57:20.244Z","metadata":{"doi":"10.25504/FAIRsharing.7e0974","name":"Ontologized MIABIS","status":"deprecated","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"mbrochhausen@gmail.com"}],"homepage":"https://github.com/OMIABIS/omiabis-dev","citations":[],"identifier":565,"description":"OMIABIS is an open-source ontology of biobank administration. OMIABIS stands for Ontologized MIABIS where MIABIS is the Minimum Information About BIobank data Sharing.","abbreviation":"OMIABIS","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMIABIS","name":"OMIABIS","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/omiabis.html","name":"OMIABIS in OBO Foundry (obsolete)","portal":"OBO Foundry"}],"deprecation_date":"2021-12-06","deprecation_reason":"This resource is no longer being maintained, and has been registered as deprecated with the OBO Foundry"},"legacy_ids":["bsg-000885","bsg-s000885"],"name":"FAIRsharing record for: Ontologized MIABIS","abbreviation":"OMIABIS","url":"https://fairsharing.org/10.25504/FAIRsharing.7e0974","doi":"10.25504/FAIRsharing.7e0974","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OMIABIS is an open-source ontology of biobank administration. OMIABIS stands for Ontologized MIABIS where MIABIS is the Minimum Information About BIobank data Sharing.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17340},{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17650},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12116}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Biobank"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"566","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:18:16.000Z","updated_at":"2022-11-01T11:57:35.286Z","metadata":{"doi":"10.25504/FAIRsharing.cuyPH9","name":"FAIR Metrics - Meets Community Standards","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_R1.3","citations":[],"identifier":566,"description":"FM-R1.3 is a metric concerned with certification, from a recognized body, of the resource meeting community standards. Various communities have recognized that maximizing the usability of their data requires them to adopt a set of guidelines for metadata (often in the form of “minimal information about…” models). Non-compliance with these standards will often render a dataset ‘reuseless’ because critical information about its context or provenance is missing. However, adherence to community standards does more than just improve reusability of the data. The software used by the community for analysis and visualization often depends on the (meta)data having certain fields; thus, non-compliance with standards may result in the data being unreadable by its associated tools. As such, data should be (individually) certified as being compliant, likely through some automated process (e.g. submitting the data to the community’s online validation service). A certification saying that the resource is compliant must be provided to fulfil this metric. This metric applies to part R1.3 of the FAIR Principles.","abbreviation":"FM-R1.3","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001355","bsg-s001355"],"name":"FAIRsharing record for: FAIR Metrics - Meets Community Standards","abbreviation":"FM-R1.3","url":"https://fairsharing.org/10.25504/FAIRsharing.cuyPH9","doi":"10.25504/FAIRsharing.cuyPH9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-R1.3 is a metric concerned with certification, from a recognized body, of the resource meeting community standards. Various communities have recognized that maximizing the usability of their data requires them to adopt a set of guidelines for metadata (often in the form of “minimal information about…” models). Non-compliance with these standards will often render a dataset ‘reuseless’ because critical information about its context or provenance is missing. However, adherence to community standards does more than just improve reusability of the data. The software used by the community for analysis and visualization often depends on the (meta)data having certain fields; thus, non-compliance with standards may result in the data being unreadable by its associated tools. As such, data should be (individually) certified as being compliant, likely through some automated process (e.g. submitting the data to the community’s online validation service). A certification saying that the resource is compliant must be provided to fulfil this metric. This metric applies to part R1.3 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance","Subject Agnostic"],"domains":["Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1408,"relation":"undefined"}],"grants":[{"id":5892,"fairsharing_record_id":566,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:42.014Z","updated_at":"2021-09-30T09:27:42.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5890,"fairsharing_record_id":566,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:41.964Z","updated_at":"2021-09-30T09:27:41.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5891,"fairsharing_record_id":566,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:41.989Z","updated_at":"2021-09-30T09:27:41.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5893,"fairsharing_record_id":566,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:42.040Z","updated_at":"2021-09-30T09:27:42.040Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"568","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-01-03T11:55:53.833Z","metadata":{"doi":"10.25504/FAIRsharing.p1nva","name":"KB_Bio_101","status":"ready","contacts":[{"contact_name":"Vinay Chaudhri","contact_email":"vinay.chaudhri@sri.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/AURA","citations":[],"identifier":568,"description":"KB-Bio-101 contains knowledge about processes and mechanisms, and was created from an introductory textbook in biology.","abbreviation":"AURA","support_links":[{"url":"https://www.sri.com/publication/chemistry-materials-energy-pubs/kb_bio_101-content-and-challenges/","name":"KB_Bio_101: Content and challenges. ","type":"Other"},{"url":"https://ceur-ws.org/Vol-1015/paper_6.pdf","name":"KB Bio 101 : A Challenge for OWL Reasoners","type":"Other"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AURA","name":"AURA","portal":"BioPortal"}]},"legacy_ids":["bsg-000756","bsg-s000756"],"name":"FAIRsharing record for: KB_Bio_101","abbreviation":"AURA","url":"https://fairsharing.org/10.25504/FAIRsharing.p1nva","doi":"10.25504/FAIRsharing.p1nva","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KB-Bio-101 contains knowledge about processes and mechanisms, and was created from an introductory textbook in biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Chromosome"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":3059,"relation":"applies_to_content"}],"grants":[{"id":10271,"fairsharing_record_id":568,"organisation_id":2623,"relation":"associated_with","created_at":"2023-01-03T11:51:30.771Z","updated_at":"2023-01-03T11:51:30.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"570","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-04T11:46:17.819Z","metadata":{"doi":"10.25504/FAIRsharing.yr6mb8","name":"Pilot Ontology","status":"deprecated","contacts":[],"homepage":"http://bioportal.bioontology.org/ontologies/1399","citations":[],"identifier":570,"description":"\"Pilot Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1399. This text was generated automatically. If you work on the project responsible for \"Pilot Ontology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"POL","deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002638","bsg-s002638"],"name":"FAIRsharing record for: Pilot Ontology","abbreviation":"POL","url":"https://fairsharing.org/10.25504/FAIRsharing.yr6mb8","doi":"10.25504/FAIRsharing.yr6mb8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Pilot Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1399. This text was generated automatically. If you work on the project responsible for \"Pilot Ontology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"571","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T12:00:37.253Z","metadata":{"doi":"10.25504/FAIRsharing.nc71b5","name":"Ontology of Craniofacial Development and Malformation","status":"ready","contacts":[{"contact_name":"Todd Detwiler","contact_email":"detwiler@sig.biostr.washington.edu"}],"homepage":"https://www.facebase.org/ocdm/","citations":[],"identifier":571,"description":"The Ontology of Craniofacial Development and Malformation (OCDM) is a mechanism for representing knowledge about craniofacial development and malformation, and for using that knowledge to facilitate integrating craniofacial data obtained via multiple techniques from multiple labs and at multiple levels of granularity. The OCDM is a project of the NIDCR-sponsored FaceBase Consortium, whose goal is to promote and enable research into the genetic and epigenetic causes of specific craniofacial abnormalities through the provision of publicly accessible, integrated craniofacial data. The OCDM is based on the Foundational Model of Anatomy (FMA) and includes modules to represent adult and developmental craniofacial anatomy in human, mouse and zebrafish, mappings between homologous structures in the different species, and associated malformations.","abbreviation":"OCDM","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCDM","name":"OCDM","portal":"BioPortal"}]},"legacy_ids":["bsg-000791","bsg-s000791"],"name":"FAIRsharing record for: Ontology of Craniofacial Development and Malformation","abbreviation":"OCDM","url":"https://fairsharing.org/10.25504/FAIRsharing.nc71b5","doi":"10.25504/FAIRsharing.nc71b5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Craniofacial Development and Malformation (OCDM) is a mechanism for representing knowledge about craniofacial development and malformation, and for using that knowledge to facilitate integrating craniofacial data obtained via multiple techniques from multiple labs and at multiple levels of granularity. The OCDM is a project of the NIDCR-sponsored FaceBase Consortium, whose goal is to promote and enable research into the genetic and epigenetic causes of specific craniofacial abnormalities through the provision of publicly accessible, integrated craniofacial data. The OCDM is based on the Foundational Model of Anatomy (FMA) and includes modules to represent adult and developmental craniofacial anatomy in human, mouse and zebrafish, mappings between homologous structures in the different species, and associated malformations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Medicine","Epigenetics","Genetics","Developmental Biology"],"domains":["Abnormal craniofacial development","Craniofacial phenotype"],"taxonomies":["Danio rerio","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8730,"fairsharing_record_id":571,"organisation_id":3125,"relation":"maintains","created_at":"2022-01-19T16:10:53.966Z","updated_at":"2022-01-19T16:10:53.966Z","grant_id":null,"is_lead":true,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"572","type":"fairsharing_records","attributes":{"created_at":"2020-12-16T11:49:28.000Z","updated_at":"2022-07-20T12:40:19.226Z","metadata":{"doi":"10.25504/FAIRsharing.d31795","name":"Library of Congress Subject Headings","status":"ready","contacts":[{"contact_name":"Judith Cannan","contact_email":"jcan@loc.gov"}],"homepage":"https://id.loc.gov/authorities/subjects.html","citations":[],"identifier":572,"description":"The Library of Congress Subject Headings (LCSH) provides catalog headings for materials held at the Library of Congress. Libraries throughout the United States use LCSH to provide subject access to their collections. LCSH is also used internationally, often in translation. The LCSH online resource includes all Library of Congress Subject Headings, free-floating subdivisions (topical and form), Genre/Form headings, Children's (AC) headings, and validation strings for which authority records have been created.","abbreviation":"LCSH","support_links":[{"url":"https://www.loc.gov/aba/contact/general_form.php","name":"Contact Form","type":"Contact form"},{"url":"https://www.loc.gov/aba/cataloging/subject/","name":"Subject Headings and Genre/Form Terms","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Library_of_Congress_Subject_Headings","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1898},"legacy_ids":["bsg-001568","bsg-s001568"],"name":"FAIRsharing record for: Library of Congress Subject Headings","abbreviation":"LCSH","url":"https://fairsharing.org/10.25504/FAIRsharing.d31795","doi":"10.25504/FAIRsharing.d31795","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Subject Headings (LCSH) provides catalog headings for materials held at the Library of Congress. Libraries throughout the United States use LCSH to provide subject access to their collections. LCSH is also used internationally, often in translation. The LCSH online resource includes all Library of Congress Subject Headings, free-floating subdivisions (topical and form), Genre/Form headings, Children's (AC) headings, and validation strings for which authority records have been created.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":2249,"relation":"undefined"}],"grants":[{"id":5894,"fairsharing_record_id":572,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:27:42.072Z","updated_at":"2021-09-30T09:27:42.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"573","type":"fairsharing_records","attributes":{"created_at":"2020-04-26T09:27:33.000Z","updated_at":"2022-07-20T10:08:50.025Z","metadata":{"doi":"10.25504/FAIRsharing.d9ea1b","name":"ICPSR Thesaurus","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"ICPSR-help@umich.edu"}],"homepage":"https://www.icpsr.umich.edu/web/ICPSR/thesaurus/index","identifier":573,"description":"The ICPSR Thesaurus is a controlled vocabulary system. Development of the ICPSR Thesaurus was supported by the National Science Foundation (SES-9977984). The scope of this thesaurus is multidisciplinary and is intended to reflect the subject range of the ICPSR archive. Social science disciplines represented include: political science, sociology, history, economics, education, criminal justice, gerontology, demography, public health, law, and international relations.","abbreviation":"ICPSR Thesaurus","support_links":[{"url":"https://www.icpsr.umich.edu/web/ICPSR/help/","type":"Help documentation"},{"url":"https://twitter.com/ICPSR","type":"Twitter"}]},"legacy_ids":["bsg-001468","bsg-s001468"],"name":"FAIRsharing record for: ICPSR Thesaurus","abbreviation":"ICPSR Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.d9ea1b","doi":"10.25504/FAIRsharing.d9ea1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICPSR Thesaurus is a controlled vocabulary system. Development of the ICPSR Thesaurus was supported by the National Science Foundation (SES-9977984). The scope of this thesaurus is multidisciplinary and is intended to reflect the subject range of the ICPSR archive. Social science disciplines represented include: political science, sociology, history, economics, education, criminal justice, gerontology, demography, public health, law, and international relations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Economic and Social History","Demographics","Social Science","Education Science","Geriatric Medicine","Health Science","Criminal Law","Political Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 United States (CC BY-NC 3.0 US)","licence_id":170,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/us/","link_id":659,"relation":"undefined"}],"grants":[{"id":5895,"fairsharing_record_id":573,"organisation_id":1393,"relation":"maintains","created_at":"2021-09-30T09:27:42.097Z","updated_at":"2021-09-30T09:27:42.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":1393,"name":"Institute for Social Research, University of Michigan, Ann Arbor, MI, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5896,"fairsharing_record_id":573,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:42.122Z","updated_at":"2021-09-30T09:32:29.354Z","grant_id":1642,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"SES-9977984","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"554","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-04-17T07:27:59.249Z","metadata":{"doi":"10.25504/FAIRsharing.7y955w","name":"Gene Ontology Extension","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium","contact_email":"go@geneontology.org"}],"homepage":"http://www.geneontology.org","citations":[],"identifier":554,"description":"Gene Ontology Extension","abbreviation":"GO-EXT","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GO-EXT","name":"GO-EXT","portal":"BioPortal"}]},"legacy_ids":["bsg-001064","bsg-s001064"],"name":"FAIRsharing record for: Gene Ontology Extension","abbreviation":"GO-EXT","url":"https://fairsharing.org/10.25504/FAIRsharing.7y955w","doi":"10.25504/FAIRsharing.7y955w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Ontology Extension","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Gene Ontology enrichment","Annotation","Sequence annotation","Gene functional annotation","Molecular function","Cellular component","Biological process","Data model","Protein","Transcript","Gene","Knowledge representation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"555","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T12:42:21.000Z","updated_at":"2023-05-05T07:52:22.376Z","metadata":{"doi":"10.25504/FAIRsharing.0Csgcz","name":"The Minimal Information for Reporting an Ontology Guidelines","status":"ready","contacts":[{"contact_name":"Nicolas Matentzoglu","contact_email":"nicolas.matentzoglu@manchester.ac.uk"}],"homepage":"https://github.com/owlcs/miro/blob/master/miro.md","citations":[{"doi":"10.1186/s13326-017-0172-7","pubmed_id":29347969,"publication_id":928}],"identifier":555,"description":"The MIRO guidelines are a community-validated set of recommendations on what should be reported about an ontology and its development, most importantly in the context of ontology description papers intended for publishing in scientific journals or conferences. The purpose of the community-reviewed MIRO guidelines is to significantly improve the quality of ontology description reports and other documentation, in particular by increasing consistent reporting of important ontology features that are otherwise often neglected.","abbreviation":"MIRO","support_links":[{"url":"https://github.com/owlcs/miro/tree/master/supplementary","name":"MIRO Community Feedback Data","type":"Github"},{"url":"https://robertdavidstevens.wordpress.com/2018/03/19/the-minimal-information-for-reporting-an-ontology-miro-guidelines/","name":"Blog Post: MIRO Guidelines","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001175","bsg-s001175"],"name":"FAIRsharing record for: The Minimal Information for Reporting an Ontology Guidelines","abbreviation":"MIRO","url":"https://fairsharing.org/10.25504/FAIRsharing.0Csgcz","doi":"10.25504/FAIRsharing.0Csgcz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIRO guidelines are a community-validated set of recommendations on what should be reported about an ontology and its development, most importantly in the context of ontology description papers intended for publishing in scientific journals or conferences. The purpose of the community-reviewed MIRO guidelines is to significantly improve the quality of ontology description reports and other documentation, in particular by increasing consistent reporting of important ontology features that are otherwise often neglected.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom","United States"],"publications":[{"id":928,"pubmed_id":29347969,"title":"MIRO: guidelines for minimum information for the reporting of an ontology.","year":2018,"url":"http://doi.org/10.1186/s13326-017-0172-7","authors":"Matentzoglu N,Malone J,Mungall C,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/s13326-017-0172-7","created_at":"2021-09-30T08:24:02.661Z","updated_at":"2021-09-30T08:24:02.661Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":494,"relation":"undefined"}],"grants":[{"id":5872,"fairsharing_record_id":555,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:41.514Z","updated_at":"2021-09-30T09:27:41.514Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5869,"fairsharing_record_id":555,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:27:41.438Z","updated_at":"2021-09-30T09:27:41.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5871,"fairsharing_record_id":555,"organisation_id":981,"relation":"maintains","created_at":"2021-09-30T09:27:41.489Z","updated_at":"2021-09-30T09:27:41.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":981,"name":"FactBio, Cambridge, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5870,"fairsharing_record_id":555,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:41.463Z","updated_at":"2021-09-30T09:30:12.717Z","grant_id":600,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J014176/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"556","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-02-21T10:36:03.136Z","metadata":{"doi":"10.25504/FAIRsharing.zchb68","name":"Mouse Developmental Stages","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://obofoundry.org/ontology/mmusdv.html","citations":[],"identifier":556,"description":"Life cycle stages for Mus Musculus. MmusDv was developed by the Bgee group with assistance from the core Uberon developers and the Mouse anatomy ontology developers. Currently it includes both embryonic stages and adult stages. ","abbreviation":"MMUSDV","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MMUSDV","name":"MMUSDV in BioPortal","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/mmusdv.html","name":"mmusdv in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001065","bsg-s001065"],"name":"FAIRsharing record for: Mouse Developmental Stages","abbreviation":"MMUSDV","url":"https://fairsharing.org/10.25504/FAIRsharing.zchb68","doi":"10.25504/FAIRsharing.zchb68","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Mus Musculus. MmusDv was developed by the Bgee group with assistance from the core Uberon developers and the Mouse anatomy ontology developers. Currently it includes both embryonic stages and adult stages. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Embryology"],"domains":["Life cycle stage"],"taxonomies":["Mus"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":3098,"relation":"applies_to_content"}],"grants":[{"id":10369,"fairsharing_record_id":556,"organisation_id":3597,"relation":"maintains","created_at":"2023-02-21T10:05:09.877Z","updated_at":"2023-02-21T10:05:09.877Z","grant_id":null,"is_lead":true,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"557","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:07:34.209Z","metadata":{"doi":"10.25504/FAIRsharing.zkdn1d","name":"Food and Agriculture Organization (FAO)-IPGRI-Bioversity Multi-Crop Passport Descriptor","status":"deprecated","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org"}],"homepage":"http://www.cropontology.org/ontology/CO_020/FAO-Bioversity%20Multi-Crop%20Passport%20Descriptors","citations":[],"identifier":557,"description":"The FAO/IPGRI Multi-Crop Passport Descriptor is part of the Crop Ontology (CO) project. The ontology has been adapted from the December 2015 version of the FAO/Bioversity Multi-Crop Passport Descriptors. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. This ontology is one of these reference plant ontologies integrated within the Crop Ontology. This ontology is currently unavailable from the Crop Ontology site, and therefore has been marked as uncertain. Please get in touch with us if you have information on this resource.","abbreviation":"CO_020","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001115","bsg-s001115"],"name":"FAIRsharing record for: Food and Agriculture Organization (FAO)-IPGRI-Bioversity Multi-Crop Passport Descriptor","abbreviation":"CO_020","url":"https://fairsharing.org/10.25504/FAIRsharing.zkdn1d","doi":"10.25504/FAIRsharing.zkdn1d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAO/IPGRI Multi-Crop Passport Descriptor is part of the Crop Ontology (CO) project. The ontology has been adapted from the December 2015 version of the FAO/Bioversity Multi-Crop Passport Descriptors. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. This ontology is one of these reference plant ontologies integrated within the Crop Ontology. This ontology is currently unavailable from the Crop Ontology site, and therefore has been marked as uncertain. Please get in touch with us if you have information on this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Plant Genetics"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1849,"relation":"undefined"}],"grants":[{"id":5875,"fairsharing_record_id":557,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:41.589Z","updated_at":"2021-09-30T09:27:41.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5873,"fairsharing_record_id":557,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:41.538Z","updated_at":"2021-09-30T09:27:41.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5874,"fairsharing_record_id":557,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:41.563Z","updated_at":"2021-09-30T09:27:41.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5876,"fairsharing_record_id":557,"organisation_id":485,"relation":"funds","created_at":"2021-09-30T09:27:41.613Z","updated_at":"2021-09-30T09:27:41.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"558","type":"fairsharing_records","attributes":{"created_at":"2021-03-17T10:04:32.000Z","updated_at":"2022-07-20T10:28:03.929Z","metadata":{"doi":"10.25504/FAIRsharing.9179e5","name":"Barley Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/POLAPGEN_BARLEY:ROOT","citations":[],"identifier":558,"description":"The Crop Ontology's (CO) current objective is to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The POLAPGEN Barley Ontology is one of CO terminologies, with a focus on traits used in genetics and bioinformatics.","abbreviation":"POLAPGEN_BARLEY","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001597","bsg-s001597"],"name":"FAIRsharing record for: Barley Trait Ontology","abbreviation":"POLAPGEN_BARLEY","url":"https://fairsharing.org/10.25504/FAIRsharing.9179e5","doi":"10.25504/FAIRsharing.9179e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Crop Ontology's (CO) current objective is to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The POLAPGEN Barley Ontology is one of CO terminologies, with a focus on traits used in genetics and bioinformatics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Bioinformatics","Genetics","Agriculture"],"domains":[],"taxonomies":["Hordeum vulgare"],"user_defined_tags":[],"countries":["Poland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":544,"relation":"undefined"}],"grants":[{"id":5877,"fairsharing_record_id":558,"organisation_id":2337,"relation":"maintains","created_at":"2021-09-30T09:27:41.639Z","updated_at":"2021-09-30T09:27:41.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":2337,"name":"POLAPGEN Applied Genetics and Genomics Consortium, Poland","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaXNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ccbb560936b5114f8775c9ff8132ee4fa79d6bb9/16a1deec-90a3-4f48-a266-e7288056fe70.jpeg?disposition=inline","exhaustive_licences":false}},{"id":"561","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-25T13:11:27.012Z","metadata":{"doi":"10.25504/FAIRsharing.v7ft18","name":"Imaging Mass Spectrometry Markup Language","status":"ready","contacts":[{"contact_name":"Andreas Roempp","contact_email":"andreas.roempp@uni-bayreuth.de"}],"homepage":"https://ms-imaging.org/imzml/data-structure/","citations":[],"identifier":561,"description":"The purpose of imzML is to facilitate the exchange and processing of mass spectrometry imaging data. This website is intended to provide all information necessary to implement imzML. imzML data format consists of two separate files: one for the metadata and one for the MS data. The metadata is saved in an XML file (*.imzML; the XML metadata model of imzML is the same as for mzML by HUPO-PSI). The mass spectral data is saved in a binary file (*.ibd). The connection between the two files is made via links in the XML file which hold the offsets of the mass spectral data in the binary file. It is important to keep in mind that the information of both file is only valid if no file is missing. imzML is it not limited to MS imaging, but is also useful for other MS applications generating large data sets such as LC-FTMS. ","abbreviation":"imzML","support_links":[{"url":"https://ms-imaging.org/contact/","name":"Contact imzML","type":"Contact form"},{"url":"https://ms-imaging.org/category/reference/literature/","name":"imzML Literature","type":"Help documentation"},{"url":"https://ms-imaging.org/imzml/","name":"imzML common data format overview","type":"Help documentation"},{"url":"https://github.com/imzML/imzML/tree/master","name":"imzML on GitHub","type":"Github"},{"url":"https://ms-imaging.org/imzml/controlled-vocabulary/","name":"Imaging MS controlled vocabulary","type":"Help documentation"},{"url":"https://ms-imaging.org/imzml/data-structure/","name":"imzML Data Structure","type":"Help documentation"},{"url":"https://ms-imaging.org/wp-content/uploads/2009/08/CVimagingMSList.pdf","name":"New imaging parameter controlled vocabulary (2009)","type":"Help documentation"},{"url":"https://ms-imaging.org/imzml/imzml-1-1-1/","name":"imzML 1.1.1 specification (2018)","type":"Other"}],"year_creation":2008,"associated_tools":[{"url":"https://gitlab.com/imzML/imzMLValidator/","name":"imzML Validator"},{"url":"https://ms-imaging.org/imzml/software-tools/","name":"imzML Software Tools"}]},"legacy_ids":["bsg-000111","bsg-s000111"],"name":"FAIRsharing record for: Imaging Mass Spectrometry Markup Language","abbreviation":"imzML","url":"https://fairsharing.org/10.25504/FAIRsharing.v7ft18","doi":"10.25504/FAIRsharing.v7ft18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of imzML is to facilitate the exchange and processing of mass spectrometry imaging data. This website is intended to provide all information necessary to implement imzML. imzML data format consists of two separate files: one for the metadata and one for the MS data. The metadata is saved in an XML file (*.imzML; the XML metadata model of imzML is the same as for mzML by HUPO-PSI). The mass spectral data is saved in a binary file (*.ibd). The connection between the two files is made via links in the XML file which hold the offsets of the mass spectral data in the binary file. It is important to keep in mind that the information of both file is only valid if no file is missing. imzML is it not limited to MS imaging, but is also useful for other MS applications generating large data sets such as LC-FTMS. ","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10913},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11028}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Scientific Instrument Design","Life Science","Omics"],"domains":["Bioimaging","Imaging","Small molecule","Mass spectrometry assay","Measurement"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Switzerland","United States"],"publications":[{"id":1401,"pubmed_id":21063949,"title":"imzML: Imaging Mass Spectrometry Markup Language: A common data format for mass spectrometry imaging.","year":2010,"url":"http://doi.org/10.1007/978-1-60761-987-1_12","authors":"Rompp A,Schramm T,Hester A,Klinkert I,Both JP,Heeren RM,Stockli M,Spengler B","journal":"Methods Mol Biol","doi":"10.1007/978-1-60761-987-1_12","created_at":"2021-09-30T08:24:56.661Z","updated_at":"2021-09-30T08:24:56.661Z"},{"id":4031,"pubmed_id":22842151,"title":"imzML — A common data format for the flexible exchange and processing of mass spectrometry imaging data","year":2012,"url":"http://dx.doi.org/10.1016/j.jprot.2012.07.026","authors":"Schramm, Thorsten; Hester, Zoë; Klinkert, Ivo; Both, Jean-Pierre; Heeren, Ron M.A.; Brunelle, Alain; Laprévote, Olivier; Desbenoit, Nicolas; Robbe, Marie-France; Stoeckli, Markus; Spengler, Bernhard; Römpp, Andreas; ","journal":"Journal of Proteomics","doi":"10.1016/j.jprot.2012.07.026","created_at":"2023-10-23T15:13:36.836Z","updated_at":"2023-10-23T15:13:36.836Z"}],"licence_links":[],"grants":[{"id":11029,"fairsharing_record_id":561,"organisation_id":4152,"relation":"funds","created_at":"2023-10-23T15:25:44.707Z","updated_at":"2023-10-23T15:25:44.707Z","grant_id":1984,"is_lead":false,"saved_state":{"id":4152,"name":"Mass Spectrometry Imaging Society","grant":"European Union [Contract LSHG-CT-2005-518194]","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11030,"fairsharing_record_id":561,"organisation_id":2380,"relation":"associated_with","created_at":"2023-10-23T15:25:45.017Z","updated_at":"2023-10-23T15:25:45.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11031,"fairsharing_record_id":561,"organisation_id":4153,"relation":"undefined","created_at":"2023-10-23T15:32:46.842Z","updated_at":"2023-10-23T15:32:46.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":4153,"name":"The Imaging Mass Spectrometry Society (IMSS)","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"562","type":"fairsharing_records","attributes":{"created_at":"2016-09-02T01:44:17.000Z","updated_at":"2021-11-24T13:18:38.646Z","metadata":{"doi":"10.25504/FAIRsharing.reqeqw","name":"Biological Dynamics Markup Language","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp","contact_orcid":"0000-0002-8255-1724"}],"homepage":"http://ssbd.qbic.riken.jp/bdml/","identifier":562,"description":"Biological Dynamics Markup Language is an open unified format for representing quantitative data of biological dynamics. BDML can describe a wide variety of spatiotemporal dynamics of biological objects from molecules to cells to organisms.","abbreviation":"BDML","year_creation":2013,"associated_tools":[{"url":"http://ssbd.qbic.riken.jp/BDML4DViewer/","name":"BDML4DViewer"},{"url":"http://ssbd.qbic.riken.jp/phenochar/","name":"phenochar"}]},"legacy_ids":["bsg-000674","bsg-s000674"],"name":"FAIRsharing record for: Biological Dynamics Markup Language","abbreviation":"BDML","url":"https://fairsharing.org/10.25504/FAIRsharing.reqeqw","doi":"10.25504/FAIRsharing.reqeqw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biological Dynamics Markup Language is an open unified format for representing quantitative data of biological dynamics. BDML can describe a wide variety of spatiotemporal dynamics of biological objects from molecules to cells to organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16914}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science","Systems Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1368,"pubmed_id":25414366,"title":"Biological Dynamics Markup Language (BDML): an open format for representing quantitative biological dynamics data","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu767","authors":"Kyoda, K., Tohsato, Y., Ho, K.H.L., Onami, S.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu767","created_at":"2021-09-30T08:24:52.983Z","updated_at":"2021-09-30T08:24:52.983Z"}],"licence_links":[],"grants":[{"id":5882,"fairsharing_record_id":562,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:41.764Z","updated_at":"2021-09-30T09:27:41.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5883,"fairsharing_record_id":562,"organisation_id":1669,"relation":"maintains","created_at":"2021-09-30T09:27:41.789Z","updated_at":"2021-09-30T09:27:41.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":1669,"name":"Laboratory for Developmental Dynamics, RIKEN Quantitative Biology Center, Kobe, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"563","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.085Z","metadata":{"doi":"10.25504/FAIRsharing.fhn1zb","name":"Traditional Medicine Signs and Symptoms Value Set","status":"ready","contacts":[{"contact_name":"Molly Meri Robinson Nicol","contact_email":"robinsonm@who.int"}],"homepage":"https://sites.google.com/site/whoictm/home","identifier":563,"description":"The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-SIGNS-AND-SYMPTS","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-SIGNS-AND-SYMPTS","name":"TM-SIGNS-AND-SYMPTS","portal":"BioPortal"}]},"legacy_ids":["bsg-002705","bsg-s002705"],"name":"FAIRsharing record for: Traditional Medicine Signs and Symptoms Value Set","abbreviation":"TM-SIGNS-AND-SYMPTS","url":"https://fairsharing.org/10.25504/FAIRsharing.fhn1zb","doi":"10.25504/FAIRsharing.fhn1zb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12496}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Traditional Medicine","Health Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5884,"fairsharing_record_id":563,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:41.813Z","updated_at":"2021-09-30T09:27:41.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5885,"fairsharing_record_id":563,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:27:41.839Z","updated_at":"2021-09-30T09:27:41.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"564","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:37:04.130Z","metadata":{"doi":"10.25504/FAIRsharing.s3r6sk","name":"Zebrafish anatomy and development","status":"ready","contacts":[{"contact_email":"curators@zfin.org"}],"homepage":"https://wiki.zfin.org/display/general/Anatomy+Atlases+and+Resources","identifier":564,"description":"A structured controlled vocabulary of the anatomy and development of the Zebrafish. If you work on the project responsible for \"Zebrafish anatomy and development\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"ZFA","support_links":[{"url":"https://sourceforge.net/p/obo/zebrafish-anatomy-zfa-term-requests/","name":"ZFIN Term Requests","type":"Forum"}],"year_creation":1999,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZFA","name":"ZFA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/zfa.html","name":"zfa","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000031","bsg-s000031"],"name":"FAIRsharing record for: Zebrafish anatomy and development","abbreviation":"ZFA","url":"https://fairsharing.org/10.25504/FAIRsharing.s3r6sk","doi":"10.25504/FAIRsharing.s3r6sk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy and development of the Zebrafish. If you work on the project responsible for \"Zebrafish anatomy and development\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Morphology","Structure","Life cycle","Life cycle stage"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1655,"pubmed_id":24568621,"title":"The zebrafish anatomy and stage ontologies: representing the anatomy and development of Danio rerio.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-12","authors":"Van Slyke CE,Bradford YM,Westerfield M,Haendel MA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-12","created_at":"2021-09-30T08:25:25.395Z","updated_at":"2021-09-30T08:25:25.395Z"}],"licence_links":[],"grants":[{"id":5889,"fairsharing_record_id":564,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:41.940Z","updated_at":"2021-09-30T09:27:41.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5887,"fairsharing_record_id":564,"organisation_id":3274,"relation":"maintains","created_at":"2021-09-30T09:27:41.889Z","updated_at":"2021-09-30T09:27:41.889Z","grant_id":null,"is_lead":false,"saved_state":{"id":3274,"name":"ZFIN administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5886,"fairsharing_record_id":564,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:41.864Z","updated_at":"2021-09-30T09:29:42.152Z","grant_id":365,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HG004838","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5888,"fairsharing_record_id":564,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:41.914Z","updated_at":"2021-09-30T09:32:20.271Z","grant_id":1573,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BDI-0641025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8027,"fairsharing_record_id":564,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:29.102Z","updated_at":"2021-09-30T09:30:29.159Z","grant_id":731,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HG002659","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"577","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T12:04:17.169Z","metadata":{"doi":"10.25504/FAIRsharing.mct09a","name":"Molecular Process Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"batchelorc@rsc.org"}],"homepage":"https://github.com/rsc-ontologies/rxno","citations":[],"identifier":577,"description":"The Molecular Process Ontology (MOP) was created to work together with the Name Reaction Ontology (RXNO). MOP describes underlying molecular processes in organic reactions such as cyclization, methylation and demethylation.","abbreviation":"MOP","support_links":[{"url":"https://github.com/rsc-ontologies/rxno/issues","name":"Issue Tracker","type":"Contact form"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOP","name":"MOP","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/mop.html","name":"mop","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000760","bsg-s000760"],"name":"FAIRsharing record for: Molecular Process Ontology","abbreviation":"MOP","url":"https://fairsharing.org/10.25504/FAIRsharing.mct09a","doi":"10.25504/FAIRsharing.mct09a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Molecular Process Ontology (MOP) was created to work together with the Name Reaction Ontology (RXNO). MOP describes underlying molecular processes in organic reactions such as cyclization, methylation and demethylation.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12111}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Chemistry"],"domains":["Reaction data"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2537,"relation":"applies_to_content"}],"grants":[{"id":8646,"fairsharing_record_id":577,"organisation_id":2467,"relation":"maintains","created_at":"2021-12-13T21:00:43.299Z","updated_at":"2021-12-13T21:00:43.299Z","grant_id":null,"is_lead":true,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"579","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T12:07:20.428Z","metadata":{"doi":"10.25504/FAIRsharing.yqn857","name":"Ontology of Arthropod Circulatory Systems","status":"uncertain","contacts":[{"contact_name":"Matt Yoder","contact_email":"mjyoder@illinois.edu"},{"contact_name":"Christian S. Wirkner ","contact_email":"christian.wirkner@uni-rostock.de","contact_orcid":null}],"homepage":"https://github.com/aszool/oarcs","citations":[],"identifier":579,"description":"OArCS is a structural model for the description of anatomical features (morphemes) using ontologies. Its domain is the Arthropod ciruclatory system. This ontology has not been updated recently, and therefore has been marked as uncertain. Please get in touch with us if you have any information.","abbreviation":"OArCS","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OARCS","name":"OARCS","portal":"BioPortal"}]},"legacy_ids":["bsg-000762","bsg-s000762"],"name":"FAIRsharing record for: Ontology of Arthropod Circulatory Systems","abbreviation":"OArCS","url":"https://fairsharing.org/10.25504/FAIRsharing.yqn857","doi":"10.25504/FAIRsharing.yqn857","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OArCS is a structural model for the description of anatomical features (morphemes) using ontologies. Its domain is the Arthropod ciruclatory system. This ontology has not been updated recently, and therefore has been marked as uncertain. Please get in touch with us if you have any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Angiology"],"domains":[],"taxonomies":["Arthropoda"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":3139,"pubmed_id":null,"title":"The first organ-based free ontology for arthropods (Ontology of Arthropod Circulatory Systems - OArCS) and its integration into a novel formalization scheme for morphological descriptions","year":2017,"url":"http://dx.doi.org/10.1093/sysbio/syw108","authors":"Wirkner, Christian S.; Göpel, Torben; Runge, Jens; Keiler, Jonas; Klussmann-Fricke, Bastian-Jesper; Huckstorf, Katarina; Scholz, Stephan; Mikó, Istvan; Yoder, Matt; Richter, Stefan; ","journal":"Syst Biol","doi":"10.1093/sysbio/syw108","created_at":"2021-11-25T22:21:49.614Z","updated_at":"2021-11-25T22:21:49.614Z"}],"licence_links":[],"grants":[{"id":8610,"fairsharing_record_id":579,"organisation_id":2071,"relation":"funds","created_at":"2021-11-25T22:24:03.724Z","updated_at":"2021-11-25T22:24:03.724Z","grant_id":1822,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI 13-56515","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8611,"fairsharing_record_id":579,"organisation_id":3320,"relation":"maintains","created_at":"2021-11-25T22:24:03.813Z","updated_at":"2021-11-25T22:24:03.813Z","grant_id":null,"is_lead":true,"saved_state":{"id":3320,"name":"The University of Rostock","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"580","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:08.745Z","metadata":{"doi":"10.25504/FAIRsharing.89qcm2","name":"Neuroscience Information Framework Gross Anatomy","status":"deprecated","contacts":[],"homepage":"http://purl.bioontology.org/ontology/nif","citations":[],"identifier":580,"description":"The \"Neuroscience Information Framework Gross Anatomy\" was developed as part of the NIF Standard Ontologies. It extended NeuroNames by including terms from BIRNLex, SumsDB, BrainMap.org, etc.; for multi-scale\nrepresentation of the nervous system and macroscopic anatomy. For more information, see the article \"Development and use of Ontologies Inside the Neuroscience Information Framework: A Practical Approach\" \nFT Imam et al, Front Genet 2012 Jun 22; 3:111. doi: 10.3389/fgene.2012.00111. eCollection 2012 https://pubmed.ncbi.nlm.nih.gov/22737162/","abbreviation":"NIF_GrossAnatomy","year_creation":2011,"deprecation_date":"2022-11-30","deprecation_reason":"Incorporated in/superseded by the NIF Standard Ontology (https://fairsharing.org/FAIRsharing.vgw1m6). Already listed as deprecated in its OBO entry https://obofoundry.org/ontology/nif_grossanatomy.html"},"legacy_ids":["bsg-000126","bsg-s000126"],"name":"FAIRsharing record for: Neuroscience Information Framework Gross Anatomy","abbreviation":"NIF_GrossAnatomy","url":"https://fairsharing.org/10.25504/FAIRsharing.89qcm2","doi":"10.25504/FAIRsharing.89qcm2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The \"Neuroscience Information Framework Gross Anatomy\" was developed as part of the NIF Standard Ontologies. It extended NeuroNames by including terms from BIRNLex, SumsDB, BrainMap.org, etc.; for multi-scale\nrepresentation of the nervous system and macroscopic anatomy. For more information, see the article \"Development and use of Ontologies Inside the Neuroscience Information Framework: A Practical Approach\" \nFT Imam et al, Front Genet 2012 Jun 22; 3:111. doi: 10.3389/fgene.2012.00111. eCollection 2012 https://pubmed.ncbi.nlm.nih.gov/22737162/","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":11533,"fairsharing_record_id":580,"organisation_id":2144,"relation":"maintains","created_at":"2024-03-21T13:58:08.667Z","updated_at":"2024-03-21T13:58:08.667Z","grant_id":null,"is_lead":false,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"581","type":"fairsharing_records","attributes":{"created_at":"2020-04-25T14:40:14.000Z","updated_at":"2022-11-22T21:01:11.877Z","metadata":{"doi":"10.25504/FAIRsharing.acd824","name":"European Language Social Science Thesaurus","status":"ready","contacts":[{"contact_name":"Carsten Thiel ","contact_email":"carsten.thiel@cessda.eu","contact_orcid":"0000-0003-0804-8992"}],"homepage":"https://thesauri.cessda.eu/en/","citations":[],"identifier":581,"description":"The European Language Social Science Thesaurus (ELSST) is a broad-based, multilingual thesaurus for the social sciences. It is owned and published by the Consortium of European Social Science Data Archives (CESSDA) and its national Service Providers. The thesaurus consists of over 3,300 concepts and covers the core social science disciplines: politics, sociology, economics, education, law, crime, demography, health, employment, information, communication technology, and environmental science.\nELSST is used for data discovery within CESSDA and facilitates access to data resources across Europe, independent of domain, resource, language, or vocabulary.\n\nELSST is currently available in 16 languages: Danish, Dutch, Czech, English, Finnish, French, German, Greek, Hungarian, Icelandic, Lithuanian, Norwegian, Romanian, Slovenian, Spanish, and Swedish","abbreviation":"ELSST","support_links":[{"url":"https://twitter.com/CESSDA_Data/","type":"Twitter"},{"url":"https://elsst.cessda.eu/guide/using-elsst","name":"Using ELSST","type":"Help documentation"},{"url":"support@cessda.eu","type":"Support email"},{"url":"https://www.youtube.com/channel/UCqbZKb1Enh-WcFpg6t86wsA","name":"CESSDA YouTube Channel","type":"Video"},{"url":"https://zenodo.org/record/7097110","name":"The European Language Social Science Thesaurus (ELSST)","type":"Other"}],"year_creation":2000},"legacy_ids":["bsg-001466","bsg-s001466"],"name":"FAIRsharing record for: European Language Social Science Thesaurus","abbreviation":"ELSST","url":"https://fairsharing.org/10.25504/FAIRsharing.acd824","doi":"10.25504/FAIRsharing.acd824","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Language Social Science Thesaurus (ELSST) is a broad-based, multilingual thesaurus for the social sciences. It is owned and published by the Consortium of European Social Science Data Archives (CESSDA) and its national Service Providers. The thesaurus consists of over 3,300 concepts and covers the core social science disciplines: politics, sociology, economics, education, law, crime, demography, health, employment, information, communication technology, and environmental science.\nELSST is used for data discovery within CESSDA and facilitates access to data resources across Europe, independent of domain, resource, language, or vocabulary.\n\nELSST is currently available in 16 languages: Danish, Dutch, Czech, English, Finnish, French, German, Greek, Hungarian, Icelandic, Lithuanian, Norwegian, Romanian, Slovenian, Spanish, and Swedish","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Social Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Norway","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2709,"relation":"applies_to_content"}],"grants":[{"id":5904,"fairsharing_record_id":581,"organisation_id":602,"relation":"funds","created_at":"2021-09-30T09:27:42.322Z","updated_at":"2021-09-30T09:27:42.322Z","grant_id":null,"is_lead":false,"saved_state":{"id":602,"name":"Consortium of European Social Science Data Archives","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5905,"fairsharing_record_id":581,"organisation_id":602,"relation":"maintains","created_at":"2021-09-30T09:27:42.348Z","updated_at":"2022-11-22T13:27:42.475Z","grant_id":null,"is_lead":true,"saved_state":{"id":602,"name":"Consortium of European Social Science Data Archives","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ee784912b873e09e9d907ebf15f37fb26c0ce50d/Screenshot%20from%202022-11-22%2021-00-34.png?disposition=inline","exhaustive_licences":true}},{"id":"551","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.320Z","metadata":{"doi":"10.25504/FAIRsharing.3kcgmr","name":"Common Anatomy Reference Ontology","status":"ready","contacts":[{"contact_name":"Melissa Haendel","contact_email":"haendel@ohsu.edu","contact_orcid":"0000-0001-9114-8737"}],"homepage":"http://bioportal.bioontology.org/ontologies/CARO?p=summary","identifier":551,"description":"The Common Anatomy Reference Ontology (CARO) is being developed to facilitate interoperability between existing anatomy ontologies for different species, and will provide a template for building new anatomy ontologies.","abbreviation":"CARO","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CARO","name":"CARO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/caro.html","name":"caro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000008","bsg-s000008"],"name":"FAIRsharing record for: Common Anatomy Reference Ontology","abbreviation":"CARO","url":"https://fairsharing.org/10.25504/FAIRsharing.3kcgmr","doi":"10.25504/FAIRsharing.3kcgmr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Common Anatomy Reference Ontology (CARO) is being developed to facilitate interoperability between existing anatomy ontologies for different species, and will provide a template for building new anatomy ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11913}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Annotation"],"taxonomies":["Vertebrata"],"user_defined_tags":["Interoperability"],"countries":["United States"],"publications":[{"id":1005,"pubmed_id":null,"title":"CARO – The Common Anatomy Reference Ontology","year":2008,"url":"http://doi.org/10.1007/978-1-84628-885-2_16","authors":"Melissa A. Haendel, Fabian Neuhaus, David Osumi-Sutherland, Paula M. Mabee, Jos L.V. MejinoJr., Chris J. Mungall, Barry Smith","journal":"Anatomy Ontologies for Bioinformatics, Volume 6 of the series Computational Biology pp 327-349","doi":"10.1007/978-1-84628-885-2_16","created_at":"2021-09-30T08:24:11.205Z","updated_at":"2021-09-30T08:24:11.205Z"},{"id":2325,"pubmed_id":null,"title":"Anatomy Ontologies for Bioinformatics","year":2008,"url":"https://www.springer.com/gp/book/9781846288845","authors":"Albert Burger, Duncan Davidson and Richard Baldock","journal":"Springer","doi":null,"created_at":"2021-09-30T08:26:45.393Z","updated_at":"2021-09-30T08:26:45.393Z"}],"licence_links":[],"grants":[{"id":5862,"fairsharing_record_id":551,"organisation_id":378,"relation":"maintains","created_at":"2021-09-30T09:27:41.247Z","updated_at":"2021-09-30T09:27:41.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":378,"name":"CARO administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"552","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:18.037Z","metadata":{"doi":"10.25504/FAIRsharing.75nsn6","name":"Neuroimaging Data Model","status":"ready","contacts":[{"contact_name":"Nolan Nichols","contact_email":"nolan.nichols@gmail.com","contact_orcid":"0000-0003-1099-3328"}],"homepage":"http://nidm.nidash.org/","identifier":552,"description":"The Neuroimaging Data Model (NIDM) is a collection of specification documents and examples that outline a domain specific extension to the W3C Provenance Data Model (PROV-DM) for the exchange and sharing of human brain imaging data. The goal of the data model is to capture data, information about the data and processes that generated the data (i.e. provenance). This information can be converted to RDF and therefore queried using SPARQL. This representation allows machine accessible representations of brain imaging data and will provide links to related resources such as publications, virtual machines, people and funding agencies.","abbreviation":"NIDM","support_links":[{"url":"info@nidash.org","type":"Support email"},{"url":"http://nidm.nidash.org/getting-started/","type":"Help documentation"},{"url":"https://github.com/incf-nidash","type":"Github"},{"url":"http://nidm.nidash.org/specs/","type":"Help documentation"},{"url":"https://twitter.com/INCForg","type":"Twitter"}],"year_creation":2014},"legacy_ids":["bsg-000546","bsg-s000546"],"name":"FAIRsharing record for: Neuroimaging Data Model","abbreviation":"NIDM","url":"https://fairsharing.org/10.25504/FAIRsharing.75nsn6","doi":"10.25504/FAIRsharing.75nsn6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neuroimaging Data Model (NIDM) is a collection of specification documents and examples that outline a domain specific extension to the W3C Provenance Data Model (PROV-DM) for the exchange and sharing of human brain imaging data. The goal of the data model is to capture data, information about the data and processes that generated the data (i.e. provenance). This information can be converted to RDF and therefore queried using SPARQL. This representation allows machine accessible representations of brain imaging data and will provide links to related resources such as publications, virtual machines, people and funding agencies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology","Life Science"],"domains":["Imaging","Image","Brain","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["United States"],"publications":[{"id":1332,"pubmed_id":23727024,"title":"Towards structured sharing of raw and derived neuroimaging data across existing resources.","year":2013,"url":"http://doi.org/10.1016/j.neuroimage.2013.05.094","authors":"Keator DB,Helmer K,Steffener J,Turner JA,Van Erp TG,Gadde S,Ashish N,Burns GA,Nichols BN","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2013.05.094","created_at":"2021-09-30T08:24:49.076Z","updated_at":"2021-09-30T08:24:49.076Z"}],"licence_links":[],"grants":[{"id":5863,"fairsharing_record_id":552,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:41.272Z","updated_at":"2021-09-30T09:31:14.291Z","grant_id":1080,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"100309/Z/12/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5866,"fairsharing_record_id":552,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:27:41.351Z","updated_at":"2021-09-30T09:27:41.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5864,"fairsharing_record_id":552,"organisation_id":267,"relation":"funds","created_at":"2021-09-30T09:27:41.297Z","updated_at":"2021-09-30T09:30:46.898Z","grant_id":867,"is_lead":false,"saved_state":{"id":267,"name":"Biomedical Informatics Research Network (BIRN)","grant":"NIH 1 U24 RR025736-01","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5865,"fairsharing_record_id":552,"organisation_id":999,"relation":"funds","created_at":"2021-09-30T09:27:41.321Z","updated_at":"2021-09-30T09:30:18.379Z","grant_id":647,"is_lead":false,"saved_state":{"id":999,"name":"FBIRN","grant":"NIH 1 U24 U24 RR021992","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"553","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:53.935Z","metadata":{"doi":"10.25504/FAIRsharing.mk2fp3","name":"CDISC Dataset-XML","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/dataset-xml","identifier":553,"description":"Dataset-XML supports exchanging tabular data in clinical research applications using ODM-based XML technologies, enabling the communication of study datasets for regulatory submissions.","abbreviation":"Dataset-XML"},"legacy_ids":["bsg-000567","bsg-s000567"],"name":"FAIRsharing record for: CDISC Dataset-XML","abbreviation":"Dataset-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.mk2fp3","doi":"10.25504/FAIRsharing.mk2fp3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dataset-XML supports exchanging tabular data in clinical research applications using ODM-based XML technologies, enabling the communication of study datasets for regulatory submissions.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17391},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11810},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12058},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12483}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens","Metazoa"],"user_defined_tags":["Non-clinical trial"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5868,"fairsharing_record_id":553,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:41.415Z","updated_at":"2021-09-30T09:27:41.415Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5867,"fairsharing_record_id":553,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:27:41.381Z","updated_at":"2021-09-30T09:27:41.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"559","type":"fairsharing_records","attributes":{"created_at":"2016-09-06T15:44:38.000Z","updated_at":"2021-11-24T13:18:38.352Z","metadata":{"doi":"10.25504/FAIRsharing.6bw40w","name":"Graphical Pathway Markup Language","status":"ready","homepage":"https://www.pathvisio.org/gpml/","identifier":559,"description":"Markup Language for graphical representations of biological pathways.","abbreviation":"GPML","support_links":[{"url":"https://www.pathvisio.org/data/gpml/GPML2013a.xsd.html","name":"Technical Documentation","type":"Help documentation"}],"associated_tools":[{"url":"http://pathvisio.org/","name":"PathVisio"}]},"legacy_ids":["bsg-000675","bsg-s000675"],"name":"FAIRsharing record for: Graphical Pathway Markup Language","abbreviation":"GPML","url":"https://fairsharing.org/10.25504/FAIRsharing.6bw40w","doi":"10.25504/FAIRsharing.6bw40w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Markup Language for graphical representations of biological pathways.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Systems Biology"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands","United States"],"publications":[],"licence_links":[],"grants":[{"id":5878,"fairsharing_record_id":559,"organisation_id":2989,"relation":"maintains","created_at":"2021-09-30T09:27:41.664Z","updated_at":"2021-09-30T09:27:41.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":2989,"name":"Universiteit Maastricht, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"560","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-12-20T16:34:51.103Z","metadata":{"doi":"10.25504/FAIRsharing.x6dcc7","name":"Minimum Information about an ENVironmental transcriptomic experiment","status":"deprecated","contacts":[{"contact_name":"NEBC Team","contact_email":"admin@nebc.nox.ac.uk"},{"contact_name":"Fiona Goff","contact_email":"fiona.goff@nerc.ukri.org","contact_orcid":null}],"homepage":"http://nebc.nox.ac.uk/miame/miame_env.html","citations":[],"identifier":560,"description":"MIAME defines a conceptual structure for defining the core information that is common to most microarray experiments. MIAME/Env is an extension of these guidelines to cover environmental genomics.","abbreviation":"MIAME/Env","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/mged-envg","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIAME-Env.shtml","type":"Help documentation"},{"url":"http://nebc.nox.ac.uk/miame/MIAME1.6-envDraft-2.pdf","type":"Help documentation"}],"year_creation":2003,"deprecation_date":"2021-12-17","deprecation_reason":"The organisation has confirmed that the website is no longer in use and the resource should be deprecated."},"legacy_ids":["bsg-000168","bsg-s000168"],"name":"FAIRsharing record for: Minimum Information about an ENVironmental transcriptomic experiment","abbreviation":"MIAME/Env","url":"https://fairsharing.org/10.25504/FAIRsharing.x6dcc7","doi":"10.25504/FAIRsharing.x6dcc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME defines a conceptual structure for defining the core information that is common to most microarray experiments. MIAME/Env is an extension of these guidelines to cover environmental genomics.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11578},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11972},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12421}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Ribonucleic acid","Environmental material","Nucleic acid hybridization","DNA microarray"],"taxonomies":["All"],"user_defined_tags":["Metatranscriptome"],"countries":["United Kingdom"],"publications":[{"id":1387,"pubmed_id":16901223,"title":"Annotation of environmental OMICS data: application to the transcriptomics domain.","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.172","authors":"Morrison N,Wood AJ,Hancock D,Shah S,Hakes L,Gray T,Tiwari B,Kille P,Cossins A,Hegarty M,Allen MJ,Wilson WH,Olive P,Last K,Kramer C,Bailhache T,Reeves J,Pallett D,Warne J,Nashar K,Parkinson H,Sansone SA,Rocca-Serra P,Stevens R,Snape J,Brass A,Field D","journal":"OMICS","doi":"10.1089/omi.2006.10.172","created_at":"2021-09-30T08:24:55.076Z","updated_at":"2021-09-30T08:24:55.076Z"}],"licence_links":[],"grants":[{"id":8652,"fairsharing_record_id":560,"organisation_id":2090,"relation":"maintains","created_at":"2021-12-17T11:08:52.998Z","updated_at":"2021-12-17T11:08:52.998Z","grant_id":null,"is_lead":true,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"575","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:21.248Z","metadata":{"doi":"10.25504/FAIRsharing.s51qk5","name":"CDISC Study Data Tabulation Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/sdtm","identifier":575,"description":"SDTM provides a standard for organizing and formatting data to streamline processes in collection, management, analysis and reporting. Implementing SDTM supports data aggregation and warehousing; fosters mining and reuse; facilitates sharing; helps perform due diligence and other important data review activities; and improves the regulatory review and approval process. SDTM is also used in non-clinical data (SEND), medical devices and pharmacogenomics/genetics studies.","abbreviation":"CDISC SDTM","support_links":[{"url":"https://www.cdisc.org/education/course/sdtm-theory-and-application","name":"SDTM Theory and Application","type":"Training documentation"},{"url":"https://www.cdisc.org/education/course/sdtm-theory-and-application-medical-devices","name":"SDTM Theory and Application for Medical Devices","type":"Training documentation"}]},"legacy_ids":["bsg-000049","bsg-s000049"],"name":"FAIRsharing record for: CDISC Study Data Tabulation Model","abbreviation":"CDISC SDTM","url":"https://fairsharing.org/10.25504/FAIRsharing.s51qk5","doi":"10.25504/FAIRsharing.s51qk5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SDTM provides a standard for organizing and formatting data to streamline processes in collection, management, analysis and reporting. Implementing SDTM supports data aggregation and warehousing; fosters mining and reuse; facilitates sharing; helps perform due diligence and other important data review activities; and improves the regulatory review and approval process. SDTM is also used in non-clinical data (SEND), medical devices and pharmacogenomics/genetics studies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17344},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11021},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11266},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11803},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11941},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12405},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16958}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Device"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5897,"fairsharing_record_id":575,"organisation_id":2313,"relation":"maintains","created_at":"2021-09-30T09:27:42.148Z","updated_at":"2021-09-30T09:27:42.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5899,"fairsharing_record_id":575,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:42.198Z","updated_at":"2021-09-30T09:27:42.198Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5898,"fairsharing_record_id":575,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:27:42.172Z","updated_at":"2021-09-30T09:27:42.172Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5900,"fairsharing_record_id":575,"organisation_id":2952,"relation":"maintains","created_at":"2021-09-30T09:27:42.222Z","updated_at":"2021-09-30T09:27:42.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"576","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:20.563Z","metadata":{"doi":"10.25504/FAIRsharing.dbsfqf","name":"Yeast Phenotypes","status":"ready","contacts":[{"contact_name":"SGD Helpdesk","contact_email":"sgd-helpdesk@lists.stanford.edu","contact_orcid":"0000-0001-9163-5180"}],"homepage":"http://www.yeastgenome.org/ontology/phenotype/ypo/overview","identifier":576,"description":"Features of Saccharomyces cerevisiae cells, cultures, or colonies that can be detected, observed, measured, or monitored.","abbreviation":"YPO"},"legacy_ids":["bsg-000292","bsg-s000292"],"name":"FAIRsharing record for: Yeast Phenotypes","abbreviation":"YPO","url":"https://fairsharing.org/10.25504/FAIRsharing.dbsfqf","doi":"10.25504/FAIRsharing.dbsfqf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Features of Saccharomyces cerevisiae cells, cultures, or colonies that can be detected, observed, measured, or monitored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phylogenetics","Life Science"],"domains":["Gene Ontology enrichment","Phenotype"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5902,"fairsharing_record_id":576,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:42.272Z","updated_at":"2021-09-30T09:27:42.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5901,"fairsharing_record_id":576,"organisation_id":2479,"relation":"maintains","created_at":"2021-09-30T09:27:42.248Z","updated_at":"2021-09-30T09:27:42.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":2479,"name":"Saccharomyces Genome Database","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"728","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:22:16.645Z","metadata":{"doi":"10.25504/FAIRsharing.czzmpg","name":"Wheat Ontology","status":"ready","contacts":[{"contact_name":"Rosemary Shrestha","contact_email":"R.Shrestha2@cgiar.org","contact_orcid":"0000-0002-9399-8003"}],"homepage":"https://cropontology.org/term/CO_321:ROOT","citations":[],"identifier":728,"description":"This ontology defines traits of the International Wheat Information System (IWIS) database and wheat descriptor. The Wheat Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_321","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Feedback","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CO-WHEAT","name":"CO-WHEAT","portal":"BioPortal"}]},"legacy_ids":["bsg-002696","bsg-s002696"],"name":"FAIRsharing record for: Wheat Ontology","abbreviation":"CO_321","url":"https://fairsharing.org/10.25504/FAIRsharing.czzmpg","doi":"10.25504/FAIRsharing.czzmpg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology defines traits of the International Wheat Information System (IWIS) database and wheat descriptor. The Wheat Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16733}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Triticum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1306,"pubmed_id":22476066,"title":"Multifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature.","year":2010,"url":"http://doi.org/10.1093/aobpla/plq008","authors":"Shrestha R,Arnaud E,Mauleon R,Senger M,Davenport GF,Hancock D,Morrison N,Bruskiewich R,McLaren G","journal":"AoB Plants","doi":"10.1093/aobpla/plq008","created_at":"2021-09-30T08:24:45.859Z","updated_at":"2021-09-30T08:24:45.859Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1853,"relation":"undefined"}],"grants":[{"id":6084,"fairsharing_record_id":728,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:48.095Z","updated_at":"2021-09-30T09:27:48.095Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6087,"fairsharing_record_id":728,"organisation_id":1101,"relation":"funds","created_at":"2021-09-30T09:27:48.204Z","updated_at":"2021-09-30T09:29:25.929Z","grant_id":247,"is_lead":false,"saved_state":{"id":1101,"name":"Generation Challenge Programme, Mexico","grant":"G4009-03","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8383,"fairsharing_record_id":728,"organisation_id":1101,"relation":"funds","created_at":"2021-09-30T09:32:23.193Z","updated_at":"2021-09-30T09:32:23.244Z","grant_id":1596,"is_lead":false,"saved_state":{"id":1101,"name":"Generation Challenge Programme, Mexico","grant":"G4005.22","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6085,"fairsharing_record_id":728,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:27:48.148Z","updated_at":"2021-09-30T09:27:48.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6086,"fairsharing_record_id":728,"organisation_id":490,"relation":"maintains","created_at":"2021-09-30T09:27:48.180Z","updated_at":"2021-09-30T09:27:48.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":490,"name":"CGIAR Research Program on Wheat","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6082,"fairsharing_record_id":728,"organisation_id":2118,"relation":"funds","created_at":"2021-09-30T09:27:48.046Z","updated_at":"2021-09-30T09:32:45.946Z","grant_id":1768,"is_lead":false,"saved_state":{"id":2118,"name":"NERC Environmental Bioinformatics Centre","grant":"F3/G13/18/04","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6083,"fairsharing_record_id":728,"organisation_id":887,"relation":"funds","created_at":"2021-09-30T09:27:48.071Z","updated_at":"2021-09-30T09:30:41.113Z","grant_id":821,"is_lead":false,"saved_state":{"id":887,"name":"EU FP6 ActinoGEN project","grant":"EU Framework 6 ActinoGEN project","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"729","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:06.763Z","metadata":{"doi":"10.25504/FAIRsharing.jb7wzc","name":"Marine Environmental Data and Information Network checklist","status":"ready","contacts":[{"contact_name":"Metadata Helpdesk","contact_email":"medin.metadata@mba.ac.uk"}],"homepage":"http://www.oceannet.org/marine_data_standards/medin_disc_stnd.html","identifier":729,"description":"MEDIN is a list of information that accompanies a data set and allows other people to find out what the data set contains, where it was collected and how they can get hold of it. It is a standard for marine metadata and a set of tools to create metadata records that comply with the MEDIN Metadata Standard.","abbreviation":"MEDIN","support_links":[{"url":"http://www.oceannet.org/marine_data_standards/mds_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.oceannet.org/library/key_documents/key_docs.html","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000555","bsg-s000555"],"name":"FAIRsharing record for: Marine Environmental Data and Information Network checklist","abbreviation":"MEDIN","url":"https://fairsharing.org/10.25504/FAIRsharing.jb7wzc","doi":"10.25504/FAIRsharing.jb7wzc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MEDIN is a list of information that accompanies a data set and allows other people to find out what the data set contains, where it was collected and how they can get hold of it. It is a standard for marine metadata and a set of tools to create metadata records that comply with the MEDIN Metadata Standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"OceanNet Privacy Policy","licence_id":608,"licence_url":"http://www.oceannet.org/privacy_and_cookies/","link_id":85,"relation":"undefined"}],"grants":[{"id":6088,"fairsharing_record_id":729,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:27:48.228Z","updated_at":"2021-09-30T09:27:48.228Z","grant_id":null,"is_lead":false,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"730","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T22:15:33.000Z","updated_at":"2023-09-29T11:54:57.742Z","metadata":{"doi":"10.25504/FAIRsharing.bb70ee","name":"Language resource management - Lexical markup framework (LMF)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37327.html","citations":[],"identifier":730,"description":"ISO 24613:2008 describes the Lexical Markup Framework (LMF), a metamodel for representing data in lexical databases used with monolingual and multilingual computer applications. LMF provides mechanisms that allow the development and integration of a variety of electronic lexical resource types. These mechanisms will present existing lexicons as far as possible. If this is impossible, problematic information will be identified and isolated. This standard will be revised, with the new revision consisting of five parts, however until this time, this version remains current.","abbreviation":"ISO 24613:2008","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37327.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2008},"legacy_ids":["bsg-001250","bsg-s001250"],"name":"FAIRsharing record for: Language resource management - Lexical markup framework (LMF)","abbreviation":"ISO 24613:2008","url":"https://fairsharing.org/10.25504/FAIRsharing.bb70ee","doi":"10.25504/FAIRsharing.bb70ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24613:2008 describes the Lexical Markup Framework (LMF), a metamodel for representing data in lexical databases used with monolingual and multilingual computer applications. LMF provides mechanisms that allow the development and integration of a variety of electronic lexical resource types. These mechanisms will present existing lexicons as far as possible. If this is impossible, problematic information will be identified and isolated. This standard will be revised, with the new revision consisting of five parts, however until this time, this version remains current.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":287,"relation":"undefined"}],"grants":[{"id":10918,"fairsharing_record_id":730,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:08:18.822Z","updated_at":"2023-09-27T14:08:18.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6089,"fairsharing_record_id":730,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:27:48.254Z","updated_at":"2021-09-30T09:27:48.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"731","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T15:37:09.037Z","metadata":{"doi":"10.25504/FAIRsharing.xk98ez","name":"NimbleGen Gene Description","status":"deprecated","contacts":[],"homepage":"https://dmac.cbs.dtu.dk/service/data-formats","citations":[],"identifier":731,"description":"The NimbleGen Gene Description is a text tabular format that contains descriptive information (annotation) about the genes on an array. Please note that Roche issued a statement in 2012 as follows: \"As previously announced in June 2012, Roche has exited the DNA microarray business. All products and services for NimbleGen CGH, ChIP-chip, DNA Methylation, AccuSNP, CGS, and Gene Expression microarrays and their associated workflows are no longer available from Roche\" (Source: http://genomics.nd.edu/nimblegen-microarrays).","abbreviation":null,"deprecation_date":"2023-03-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n"},"legacy_ids":["bsg-000251","bsg-s000251"],"name":"FAIRsharing record for: NimbleGen Gene Description","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xk98ez","doi":"10.25504/FAIRsharing.xk98ez","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NimbleGen Gene Description is a text tabular format that contains descriptive information (annotation) about the genes on an array. Please note that Roche issued a statement in 2012 as follows: \"As previously announced in June 2012, Roche has exited the DNA microarray business. All products and services for NimbleGen CGH, ChIP-chip, DNA Methylation, AccuSNP, CGS, and Gene Expression microarrays and their associated workflows are no longer available from Roche\" (Source: http://genomics.nd.edu/nimblegen-microarrays).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12437}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Expression data","Annotation","Deoxyribonucleic acid","Microarray experiment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"732","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-03T11:12:09.639Z","metadata":{"doi":"10.25504/FAIRsharing.qrr33y","name":"Flow Cytometry Data File Standard","status":"ready","contacts":[{"contact_name":"Ryan R. Brinkman","contact_email":"rbrinkman@bccrc.ca","contact_orcid":"0000-0002-9765-2990"}],"homepage":"https://isac-net.org/page/Data-Standards","citations":[],"identifier":732,"description":"The flow cytometry data file standard provides the specifications needed to completely describe flow cytometry data sets within the confines of the file containing the experimental data.","abbreviation":"FCS","support_links":[{"url":"isac@isac-net.org","type":"Support email"},{"url":"https://acrobat.adobe.com/link/review?uri=urn:aaid:scds:US:6a9bb787-839c-3d29-9800-4191c3209260","name":"Normative version of the FCS 3.1 specification","type":"Help documentation"},{"url":"http://onlinelibrary.wiley.com/doi/10.1002/cyto.a.22018/pdf","name":"FCS 3.1 Implementation Guidance","type":"Help documentation"}],"year_creation":1984},"legacy_ids":["bsg-000565","bsg-s000565"],"name":"FAIRsharing record for: Flow Cytometry Data File Standard","abbreviation":"FCS","url":"https://fairsharing.org/10.25504/FAIRsharing.qrr33y","doi":"10.25504/FAIRsharing.qrr33y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The flow cytometry data file standard provides the specifications needed to completely describe flow cytometry data sets within the confines of the file containing the experimental data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","United States","European Union"],"publications":[{"id":659,"pubmed_id":19937951,"title":"Data File Standard for Flow Cytometry, version FCS 3.1.","year":2009,"url":"http://doi.org/10.1002/cyto.a.20825","authors":"Spidlen J, Moore W, Parks D, Goldberg M, Bray C, Bierre P, Gorombey P, Hyun B, Hubbard M, Lange S, Lefebvre R, Leif R, Novo D, Ostruszka L, Treister A, Wood J, Murphy RF, Roederer M, Sudar D, Zigon R, Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.20825","created_at":"2021-09-30T08:23:32.752Z","updated_at":"2021-09-30T08:23:32.752Z"}],"licence_links":[],"grants":[{"id":6091,"fairsharing_record_id":732,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:48.306Z","updated_at":"2021-09-30T09:27:48.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6090,"fairsharing_record_id":732,"organisation_id":1515,"relation":"funds","created_at":"2021-09-30T09:27:48.278Z","updated_at":"2021-09-30T09:27:48.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":1515,"name":"International Society for Advancement of Cytometry (ISAC)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6092,"fairsharing_record_id":732,"organisation_id":1829,"relation":"funds","created_at":"2021-09-30T09:27:48.330Z","updated_at":"2021-09-30T09:27:48.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":1829,"name":"Michael Smith Foundation for Health Research, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"733","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:47.073Z","metadata":{"doi":"10.25504/FAIRsharing.y9d8rt","name":"Proteomics Pipeline Infrastructure for CPTAC","status":"uncertain","contacts":[{"contact_name":"Fan Zhang","contact_email":"fanzhan@iupui.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1192","identifier":733,"description":"A basic ontology which describes the proteomics pipeline infrastructure for CPTAC project","abbreviation":"CPTAC","support_links":[{"url":"cancer.proteomics@mail.nih.gov","type":"Support email"},{"url":"https://proteomics.cancer.gov/programs/cptac","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-002591","bsg-s002591"],"name":"FAIRsharing record for: Proteomics Pipeline Infrastructure for CPTAC","abbreviation":"CPTAC","url":"https://fairsharing.org/10.25504/FAIRsharing.y9d8rt","doi":"10.25504/FAIRsharing.y9d8rt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A basic ontology which describes the proteomics pipeline infrastructure for CPTAC project","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12520}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Proteomics","Life Science"],"domains":["Data acquisition","Data transformation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"734","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2024-05-02T14:41:43.302Z","metadata":{"doi":"10.25504/FAIRsharing.9xcr4z","name":"CIDOC Conceptual Reference Model","status":"ready","contacts":[{"contact_name":"Patrick Le Bœuf","contact_email":"patrick.le-boeuf@bnf.fr"}],"homepage":"https://www.cidoc-crm.org/","citations":[],"identifier":734,"description":"The CIDOC Conceptual Reference Model (CRM) provides definitions and a formal structure for describing the implicit and explicit concepts and relationships used in cultural heritage documentation. The overall scope of the CIDOC CRM can be summarised in simple terms as the curated, factual knowledge\nabout the past at a human scale. The CIDOC CRM is intended to promote a shared understanding of cultural heritage information by providing a common and extensible semantic framework that any cultural heritage information can be mapped to. It is intended to be a common language for domain experts and implementers to formulate requirements for information systems and to serve as a guide for good practice of conceptual modelling. In this way, it can provide the \"semantic glue\" needed to mediate between different sources of cultural heritage information, such as that published by museums, libraries and archives. The ISO 21127:2014 specification (Information and documentation — A reference ontology for the interchange of cultural heritage information) was created from the CIDOC CRM, although the CIDOC CRM Special Interest Group continues to maintain this original document as well.","abbreviation":"CIDOC-CRM","support_links":[{"url":"https://cidoc-crm.org/collaborations","name":"Collaborations and Compatible Models","type":"Help documentation"},{"url":"https://cidoc-crm.org/useCasesPage","name":"Use Cases","type":"Training documentation"},{"url":"https://cidoc-crm.org/cidoc-crm-tutorial","name":"Tutorial","type":"Training documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIDOC-CRM","name":"CIDOC-CRM","portal":"BioPortal"}]},"legacy_ids":["bsg-000858","bsg-s000858"],"name":"FAIRsharing record for: CIDOC Conceptual Reference Model","abbreviation":"CIDOC-CRM","url":"https://fairsharing.org/10.25504/FAIRsharing.9xcr4z","doi":"10.25504/FAIRsharing.9xcr4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CIDOC Conceptual Reference Model (CRM) provides definitions and a formal structure for describing the implicit and explicit concepts and relationships used in cultural heritage documentation. The overall scope of the CIDOC CRM can be summarised in simple terms as the curated, factual knowledge\nabout the past at a human scale. The CIDOC CRM is intended to promote a shared understanding of cultural heritage information by providing a common and extensible semantic framework that any cultural heritage information can be mapped to. It is intended to be a common language for domain experts and implementers to formulate requirements for information systems and to serve as a guide for good practice of conceptual modelling. In this way, it can provide the \"semantic glue\" needed to mediate between different sources of cultural heritage information, such as that published by museums, libraries and archives. The ISO 21127:2014 specification (Information and documentation — A reference ontology for the interchange of cultural heritage information) was created from the CIDOC CRM, although the CIDOC CRM Special Interest Group continues to maintain this original document as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Humanities and Social Science","Cultural Studies","Anthropology"],"domains":["Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":9557,"fairsharing_record_id":734,"organisation_id":3410,"relation":"maintains","created_at":"2022-05-23T15:34:12.639Z","updated_at":"2022-05-23T15:34:12.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":3410,"name":"CIDOC – ICOM International Committee for Documentation","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZUk9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--057a21005e538cb21742ec8a475bf44a6228c707/cidoc.png?disposition=inline","exhaustive_licences":false}},{"id":"758","type":"fairsharing_records","attributes":{"created_at":"2015-04-27T09:25:27.000Z","updated_at":"2022-07-20T09:31:13.424Z","metadata":{"doi":"10.25504/FAIRsharing.me4qwe","name":"DataCite Metadata Schema","status":"ready","contacts":[],"homepage":"https://schema.datacite.org/","citations":[],"identifier":758,"description":"The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes, with recommended use instructions in the documentation. The resource that is being identified can be of any kind, but it is typically a dataset. We use the term ‘dataset’ in its broadest sense. We mean it to include not only numerical data, but any other research objects in keeping with DataCite’s mission (https://datacite.org/value.html). The metadata schema properties are presented and described in detail in the section DataCite Metadata Properties in this document.","abbreviation":null,"support_links":[{"url":"https://blog.datacite.org","name":"Blog","type":"Blog/News"},{"url":"support@datacite.org","name":"General contact","type":"Support email"},{"url":"https://support.datacite.org/","name":"DataCite Support","type":"Help documentation"},{"url":"https://groups.google.com/forum/?hl=en\u0026fromgroups#!forum/datacite-metadata","type":"Forum"},{"url":"https://github.com/datacite/schema","type":"Github"},{"url":"https://twitter.com/datacite","type":"Twitter"}],"year_creation":2009},"legacy_ids":["bsg-000588","bsg-s000588"],"name":"FAIRsharing record for: DataCite Metadata Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.me4qwe","doi":"10.25504/FAIRsharing.me4qwe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DataCite Metadata Schema is a list of core metadata properties chosen for accurate and consistent identification of a resource for citation and retrieval purposes, with recommended use instructions in the documentation. The resource that is being identified can be of any kind, but it is typically a dataset. We use the term ‘dataset’ in its broadest sense. We mean it to include not only numerical data, but any other research objects in keeping with DataCite’s mission (https://datacite.org/value.html). The metadata schema properties are presented and described in detail in the section DataCite Metadata Properties in this document.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18157},{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17341},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18283},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11198},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12940},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13330},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13338},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13353}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Citation","Resource metadata","Annotation","Data retrieval","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":3314,"pubmed_id":null,"title":"DataCite Metadata Schema Documentation for the Publication and Citation of Research Data and Other Research Outputs v4.4","year":2021,"url":"https://doi.org/10.14454/3w3z-sa82","authors":"DataCite Metadata Working Group","journal":"DataCite - International Data Citation","doi":"https://doi.org/10.14454/3w3z-sa82","created_at":"2022-04-14T19:47:46.003Z","updated_at":"2022-04-14T19:47:46.003Z"}],"licence_links":[{"licence_name":"DataCite Privacy Policy","licence_id":218,"licence_url":"https://www.datacite.org/privacy.html","link_id":1072,"relation":"undefined"},{"licence_name":"DataCite Terms and Conditions","licence_id":219,"licence_url":"https://www.datacite.org/terms.html","link_id":1071,"relation":"undefined"}],"grants":[{"id":6147,"fairsharing_record_id":758,"organisation_id":2254,"relation":"maintains","created_at":"2021-09-30T09:27:50.149Z","updated_at":"2021-09-30T09:27:50.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2254,"name":"Open Data Institute (ODI), London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6142,"fairsharing_record_id":758,"organisation_id":1086,"relation":"maintains","created_at":"2021-09-30T09:27:49.950Z","updated_at":"2021-09-30T09:27:49.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1086,"name":"Future of Research Communications and e-Scholarship (FORCE11), Ja Lolla, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6143,"fairsharing_record_id":758,"organisation_id":435,"relation":"maintains","created_at":"2021-09-30T09:27:49.979Z","updated_at":"2021-09-30T09:27:49.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":435,"name":"Center for Open Science","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6145,"fairsharing_record_id":758,"organisation_id":2757,"relation":"maintains","created_at":"2021-09-30T09:27:50.081Z","updated_at":"2021-09-30T09:27:50.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":2757,"name":"The Committee on Data for Science and Technology (CODATA), Paris, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6146,"fairsharing_record_id":758,"organisation_id":620,"relation":"maintains","created_at":"2021-09-30T09:27:50.118Z","updated_at":"2021-09-30T09:27:50.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":620,"name":"CrossRef, Lynnfield, MA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6148,"fairsharing_record_id":758,"organisation_id":3249,"relation":"maintains","created_at":"2021-09-30T09:27:50.248Z","updated_at":"2021-09-30T09:27:50.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":3249,"name":"World Data System, International Council for Science","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6149,"fairsharing_record_id":758,"organisation_id":2426,"relation":"maintains","created_at":"2021-09-30T09:27:50.285Z","updated_at":"2021-09-30T09:27:50.285Z","grant_id":null,"is_lead":false,"saved_state":{"id":2426,"name":"Research Data Alliance (RDA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6150,"fairsharing_record_id":758,"organisation_id":2263,"relation":"maintains","created_at":"2021-09-30T09:27:50.317Z","updated_at":"2021-09-30T09:27:50.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":2263,"name":"Open Research and Contributor ID Initiative (ORCID)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9374,"fairsharing_record_id":758,"organisation_id":647,"relation":"maintains","created_at":"2022-04-11T12:07:34.045Z","updated_at":"2022-04-14T19:48:29.310Z","grant_id":null,"is_lead":true,"saved_state":{"id":647,"name":"DataCite","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"759","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T10:25:40.124Z","metadata":{"doi":"10.25504/FAIRsharing.b4sa0w","name":"Ontology of Organizational Structures of Trauma centers and Trauma systems","status":"ready","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"MBrochhausen@uams.edu"}],"homepage":"https://github.com/OOSTT/OOSTT","citations":[],"identifier":759,"description":"The Ontology of Organizational Structures of Trauma centers and Trauma systems (OOSTT) is a representation of the components of trauma centers and trauma systems coded in Web Ontology Language (OWL2). It is developed collaboratively by domain and ontology experts in the NIH-funded CAFE (Comparative Assessment Framework for Environments of trauma care) project (1R01GM111324-01A1). It will be used as the ontology backbone of a graphical user interface comparing graphical representations of organizational structures.","abbreviation":"OOSTT","support_links":[{"url":"https://github.com/OOSTT/OOSTT/","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OOSTT","name":"OOSTT","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/oostt","name":"OLS - OOSTT","portal":"OLS"},{"url":"https://obofoundry.org/ontology/oostt.html","name":"OBO Foundry - OOSTT","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000888","bsg-s000888"],"name":"FAIRsharing record for: Ontology of Organizational Structures of Trauma centers and Trauma systems","abbreviation":"OOSTT","url":"https://fairsharing.org/10.25504/FAIRsharing.b4sa0w","doi":"10.25504/FAIRsharing.b4sa0w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Organizational Structures of Trauma centers and Trauma systems (OOSTT) is a representation of the components of trauma centers and trauma systems coded in Web Ontology Language (OWL2). It is developed collaboratively by domain and ontology experts in the NIH-funded CAFE (Comparative Assessment Framework for Environments of trauma care) project (1R01GM111324-01A1). It will be used as the ontology backbone of a graphical user interface comparing graphical representations of organizational structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traumatology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2693,"relation":"applies_to_content"}],"grants":[{"id":9554,"fairsharing_record_id":759,"organisation_id":3533,"relation":"maintains","created_at":"2022-05-23T09:47:30.550Z","updated_at":"2022-05-23T09:47:30.550Z","grant_id":null,"is_lead":true,"saved_state":{"id":3533,"name":"Comparative Assessment Framework for Environments of Trauma Care (CAFE-Trauma)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9555,"fairsharing_record_id":759,"organisation_id":2035,"relation":"funds","created_at":"2022-05-23T09:48:35.607Z","updated_at":"2022-05-23T09:48:35.607Z","grant_id":1871,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"1R01GM111324-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"760","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T11:54:07.000Z","updated_at":"2021-11-24T13:15:57.958Z","metadata":{"doi":"10.25504/FAIRsharing.fzkw7z","name":"Plant occurrence and status scheme","status":"ready","homepage":"https://github.com/tdwg/prior-standards/tree/master/poss","identifier":760,"description":"The Plant Occurrence and Status Scheme (POSS) has been developed to provide standard terms for recording the occurrence of a plant taxon for a specific location. As with all standards, POSS aims to provide both a clear, unambiguous framework for information management, and at the same time provides a mechanism for information exchange.While this standard is still in use, it is no longer actively maintained (and is labelled as prior on the TDWG website).","abbreviation":"POSS","support_links":[{"url":"http://lists.tdwg.org/mailman/listinfo","type":"Mailing list"},{"url":"https://github.com/tdwg/prior-standards/blob/master/poss/106-522-1-RV.pdf","type":"Github"}],"year_creation":1995},"legacy_ids":["bsg-000630","bsg-s000630"],"name":"FAIRsharing record for: Plant occurrence and status scheme","abbreviation":"POSS","url":"https://fairsharing.org/10.25504/FAIRsharing.fzkw7z","doi":"10.25504/FAIRsharing.fzkw7z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Occurrence and Status Scheme (POSS) has been developed to provide standard terms for recording the occurrence of a plant taxon for a specific location. As with all standards, POSS aims to provide both a clear, unambiguous framework for information management, and at the same time provides a mechanism for information exchange.While this standard is still in use, it is no longer actively maintained (and is labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12279}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Ecology","Biodiversity"],"domains":["Geographical location"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6151,"fairsharing_record_id":760,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:27:50.350Z","updated_at":"2021-09-30T09:27:50.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"761","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2022-07-22T12:49:55.561Z","metadata":{"doi":"10.25504/FAIRsharing.1wm8em","name":"Disease core ontology applied to Rare Diseases","status":"deprecated","contacts":[{"contact_name":"Ferdinand Dhombres","contact_email":"ferdinand.dhombres@inserm.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/HRDO","citations":[],"identifier":761,"description":"This resource was designed during a PhD in medical informatics (funded by INSERM, 2010-2012). Its components are (i) a core ontology consistent with a metamodel (disorders and groups of disorders, genes, clinical signs and their relations) and (ii) an instantiation of this metamodel with Orphanet Data (available on http://orphadata.org). \u003c/ br\u003e Research experiments demonstrated (i) efficient classifications generation based on SPARQL Construct, (ii) perspectives in semantic audit of a knowledge base, (iii) semantic comparison with OMIM (www.omim.org) using proximity measurements and (iv) opened perspectives in knowledge sharing (LORD, http://lord.bndmr.fr). Current production services of Orphanet developed ORDO, released in 2014, an ontology synchronized with their production database. This ontology is now available on Bioportal.","abbreviation":"HRDO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HRDO","name":"HRDO","portal":"BioPortal"}],"deprecation_date":"2022-07-21","deprecation_reason":"This resource has not been active since 2014, and has therefore been deprecated. Please get in touch if you have any information."},"legacy_ids":["bsg-000902","bsg-s000902"],"name":"FAIRsharing record for: Disease core ontology applied to Rare Diseases","abbreviation":"HRDO","url":"https://fairsharing.org/10.25504/FAIRsharing.1wm8em","doi":"10.25504/FAIRsharing.1wm8em","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource was designed during a PhD in medical informatics (funded by INSERM, 2010-2012). Its components are (i) a core ontology consistent with a metamodel (disorders and groups of disorders, genes, clinical signs and their relations) and (ii) an instantiation of this metamodel with Orphanet Data (available on http://orphadata.org). \u003c/ br\u003e Research experiments demonstrated (i) efficient classifications generation based on SPARQL Construct, (ii) perspectives in semantic audit of a knowledge base, (iii) semantic comparison with OMIM (www.omim.org) using proximity measurements and (iv) opened perspectives in knowledge sharing (LORD, http://lord.bndmr.fr). Current production services of Orphanet developed ORDO, released in 2014, an ontology synchronized with their production database. This ontology is now available on Bioportal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Rare disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"762","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-25T20:56:46.147Z","metadata":{"doi":"10.25504/FAIRsharing.mf91p5","name":"Ontology for MicroRNA Target","status":"ready","contacts":[{"contact_name":"Jingshan Huang","contact_email":"huang@southalabama.edu"}],"homepage":"https://github.com/OmniSearch/omit","citations":[{"doi":"10.1371/journal.pone.0100855","pubmed_id":25025130,"publication_id":1746}],"identifier":762,"description":"The purpose of the OMIT ontology is to establish data exchange standards and common data elements in the microRNA (miR) domain. Biologists (cell biologists in particular) and bioinformaticians can make use of OMIT to leverage emerging semantic technologies in knowledge acquisition and discovery for more effective identification of important roles performed by miRs in humans' various diseases and biological processes (usually through miRs' respective target genes). Please note that, although the ontology is available at the stated GitHub repository, it has not been updated in a number of years and you may wish to carefully review the ontology before use.","abbreviation":"OMIT","support_links":[{"url":"https://github.com/OmniSearch/omit/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/OmniSearch/omit","name":"GitHub Repository","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMIT","name":"OMIT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/omit.html","name":"omit","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002670","bsg-s002670"],"name":"FAIRsharing record for: Ontology for MicroRNA Target","abbreviation":"OMIT","url":"https://fairsharing.org/10.25504/FAIRsharing.mf91p5","doi":"10.25504/FAIRsharing.mf91p5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of the OMIT ontology is to establish data exchange standards and common data elements in the microRNA (miR) domain. Biologists (cell biologists in particular) and bioinformaticians can make use of OMIT to leverage emerging semantic technologies in knowledge acquisition and discovery for more effective identification of important roles performed by miRs in humans' various diseases and biological processes (usually through miRs' respective target genes). Please note that, although the ontology is available at the stated GitHub repository, it has not been updated in a number of years and you may wish to carefully review the ontology before use.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12026}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biology"],"domains":["Annotation","Computational biological predictions","Gene prediction","Molecular entity","Cell","Regulation of gene expression","Molecular interaction","Protein","Micro RNA","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1746,"pubmed_id":25025130,"title":"OMIT: dynamic, semi-automated ontology development for the microRNA domain.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0100855","authors":"Huang J,Dang J,Borchert GM,Eilbeck K,Zhang H,Xiong M,Jiang W,Wu H,Blake JA,Natale DA,Tan M","journal":"PLoS One","doi":"10.1371/journal.pone.0100855","created_at":"2021-09-30T08:25:35.947Z","updated_at":"2021-09-30T08:25:35.947Z"},{"id":1754,"pubmed_id":21879385,"title":"OMIT: a domain-specific knowledge base for microRNA target prediction.","year":2011,"url":"http://doi.org/10.1007/s11095-011-0573-8","authors":"Huang J,Townsend C,Dou D,Liu H,Tan M","journal":"Pharm Res","doi":"10.1007/s11095-011-0573-8","created_at":"2021-09-30T08:25:36.863Z","updated_at":"2021-09-30T08:25:36.863Z"},{"id":1987,"pubmed_id":27175225,"title":"OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0064-2","authors":"Huang J,Gutierrez F,Strachan HJ,Dou D,Huang W,Smith B,Blake JA,Eilbeck K,Natale DA,Lin Y,Wu B,Silva Nd,Wang X,Liu Z,Borchert GM,Tan M,Ruttenberg A","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0064-2","created_at":"2021-09-30T08:26:03.666Z","updated_at":"2021-09-30T08:26:03.666Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1324,"relation":"undefined"}],"grants":[{"id":6152,"fairsharing_record_id":762,"organisation_id":3121,"relation":"maintains","created_at":"2021-09-30T09:27:50.388Z","updated_at":"2024-03-25T20:34:56.350Z","grant_id":null,"is_lead":true,"saved_state":{"id":3121,"name":"University of South Alabama, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6154,"fairsharing_record_id":762,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:50.469Z","updated_at":"2021-09-30T09:29:23.720Z","grant_id":229,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"1350064","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6153,"fairsharing_record_id":762,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:50.430Z","updated_at":"2021-09-30T09:30:35.739Z","grant_id":781,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U01CA180982","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6156,"fairsharing_record_id":762,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:50.538Z","updated_at":"2021-09-30T09:27:50.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"735","type":"fairsharing_records","attributes":{"created_at":"2020-03-09T10:19:37.000Z","updated_at":"2022-07-20T09:47:44.049Z","metadata":{"doi":"10.25504/FAIRsharing.NYAjYd","name":"EBI BioSamples JSON Format ","status":"ready","contacts":[{"contact_name":"BioSamples Helpdesk","contact_email":"biosamples@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biosamples/docs/references/api/submit","citations":[],"identifier":735,"description":"The EBI BioSamples JSON Format is a JSON schema used for submitting data to the EBI BioSamples database. This format can also be used to update or curate existing samples.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001455","bsg-s001455"],"name":"FAIRsharing record for: EBI BioSamples JSON Format ","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.NYAjYd","doi":"10.25504/FAIRsharing.NYAjYd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EBI BioSamples JSON Format is a JSON schema used for submitting data to the EBI BioSamples database. This format can also be used to update or curate existing samples.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Experimental measurement","Biological sample annotation","Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1427,"relation":"undefined"}],"grants":[{"id":6093,"fairsharing_record_id":735,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:48.356Z","updated_at":"2021-09-30T09:27:48.356Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"736","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.879Z","metadata":{"doi":"10.25504/FAIRsharing.3nz5cb","name":"Annotation and Image Markup","status":"ready","contacts":[{"contact_name":"Daniel Rubin","contact_email":"dlrubin@yahoo.com","contact_orcid":"0000-0001-5057-4369"}],"homepage":"https://wiki.nci.nih.gov/display/AIM/Annotation+and+Image+Markup+-+AIM","identifier":736,"description":"The Annotation and Image Markup project provides a standardized schema for capturing the results of medical imaging exams, primarily radiology, using controlled terminologies/ontologies. AIM captures results in terms of the region within an image in which areas of interest are located, the semantic descriptions of those regions, inferences about them, calculations on them, and quantitative features derived by computer programs run on them. AIM is interoperable with DICOM-SR and HL7-CDA, other standards for image metadata, but it provides unique advantages by providing an explicit semantic model of imaging results.","abbreviation":"AIM","support_links":[{"url":"ncicbiit@mail.nih.gov","type":"Support email"},{"url":"https://wiki.nci.nih.gov/display/AIM/AIM+Documentation","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000562","bsg-s000562"],"name":"FAIRsharing record for: Annotation and Image Markup","abbreviation":"AIM","url":"https://fairsharing.org/10.25504/FAIRsharing.3nz5cb","doi":"10.25504/FAIRsharing.3nz5cb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Annotation and Image Markup project provides a standardized schema for capturing the results of medical imaging exams, primarily radiology, using controlled terminologies/ontologies. AIM captures results in terms of the region within an image in which areas of interest are located, the semantic descriptions of those regions, inferences about them, calculations on them, and quantitative features derived by computer programs run on them. AIM is interoperable with DICOM-SR and HL7-CDA, other standards for image metadata, but it provides unique advantages by providing an explicit semantic model of imaging results.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Image"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":661,"pubmed_id":19294468,"title":"The caBIG annotation and image Markup project","year":2009,"url":"http://doi.org/10.1007/s10278-009-9193-9","authors":"Channin DS, Mongkolwat P, Kleper V, Sepukar K, Rubin DL.","journal":"J Digital Imaging","doi":"10.1007/s10278-009-9193-9","created_at":"2021-09-30T08:23:32.961Z","updated_at":"2021-09-30T08:23:32.961Z"},{"id":2275,"pubmed_id":null,"title":"Medical Imaging on the Semantic Web: Annotation and Image Markup","year":2008,"url":"https://www.researchgate.net/publication/221250903_Medical_Imaging_on_the_Semantic_Web_Annotation_and_Image_Markup","authors":"Rubin DL, Mongkolwat P, Kleper V, Supekar K and Channin DS","journal":"AAAI Spring Symposium Series, Semantic Scientific Knowledge Integration","doi":null,"created_at":"2021-09-30T08:26:37.118Z","updated_at":"2021-09-30T11:28:34.630Z"}],"licence_links":[],"grants":[{"id":6094,"fairsharing_record_id":736,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:27:48.380Z","updated_at":"2021-09-30T09:27:48.380Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6095,"fairsharing_record_id":736,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:48.415Z","updated_at":"2021-09-30T09:32:49.437Z","grant_id":1792,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"79596CBS10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"737","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-03-14T17:10:50.270Z","metadata":{"doi":"10.25504/FAIRsharing.kj336a","name":"Microbial Culture Collection Vocabulary","status":"ready","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"shuichi.kawashima@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MCCV","citations":[],"identifier":737,"description":"Structured controlled vocabulary for describing meta information of microbial calture collection maintained in biological research centers","abbreviation":"MCCV","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MCCV","name":"MCCV","portal":"BioPortal"}]},"legacy_ids":["bsg-000860","bsg-s000860"],"name":"FAIRsharing record for: Microbial Culture Collection Vocabulary","abbreviation":"MCCV","url":"https://fairsharing.org/10.25504/FAIRsharing.kj336a","doi":"10.25504/FAIRsharing.kj336a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Structured controlled vocabulary for describing meta information of microbial calture collection maintained in biological research centers","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Microbiology"],"domains":["Sequence","Genetic strain"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10411,"fairsharing_record_id":737,"organisation_id":3916,"relation":"undefined","created_at":"2023-03-14T17:08:44.917Z","updated_at":"2023-03-14T17:08:44.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":3916,"name":"RIKEN","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"739","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-03-23T13:52:24.722Z","metadata":{"doi":"10.25504/FAIRsharing.g78mbm","name":"Livestock Product Trait Ontology","status":"ready","contacts":[{"contact_name":"Jim Reecy","contact_email":"jreecy@iastate.edu"}],"homepage":"https://www.animalgenome.org/bioinfo/projects/lpt/","citations":[],"identifier":739,"description":"The Livestock Product Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to products produced by or obtained from the body of an agricultural animal or bird maintained for use and profit.","abbreviation":"LPT","support_links":[{"url":"https://github.com/AnimalGenome/livestock-product-trait-ontology ","type":"Github"},{"url":"jreecy@iastate.edu","name":"James Reecy","type":"Support email"},{"url":"caripark@iastate.edu","name":"Cari Park","type":"Support email"},{"url":"zhu@iastate.edu","name":"Zhiliang Hu","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LPT","name":"LPT","portal":"BioPortal"}]},"legacy_ids":["bsg-000863","bsg-s000863"],"name":"FAIRsharing record for: Livestock Product Trait Ontology","abbreviation":"LPT","url":"https://fairsharing.org/10.25504/FAIRsharing.g78mbm","doi":"10.25504/FAIRsharing.g78mbm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Livestock Product Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to products produced by or obtained from the body of an agricultural animal or bird maintained for use and profit.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Husbandry"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"740","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.859Z","metadata":{"doi":"10.25504/FAIRsharing.s6zfkg","name":"Nursing Interventions Classification","status":"ready","contacts":[{"contact_name":"Sue Moorhead","contact_email":"sue-moorhead@uiowa.edu"}],"homepage":"http://www.nursing.uiowa.edu/cncce/nursing-interventions-classification-overview","identifier":740,"description":"The Nursing Interventions Classification (NIC) is a comprehensive, research-based, standardized classification of interventions that nurses perform. It is useful for clinical documentation, communication of care across settings, integration of data across systems and settings, effectiveness research, productivity measurement, competency evaluation, reimbursement, and curricular design. The Classification includes the interventions that nurses do on behalf of patients, both independent and collaborative interventions, both direct and indirect care.","abbreviation":"NIC","year_creation":1992,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIC","name":"NIC","portal":"BioPortal"}]},"legacy_ids":["bsg-002653","bsg-s002653"],"name":"FAIRsharing record for: Nursing Interventions Classification","abbreviation":"NIC","url":"https://fairsharing.org/10.25504/FAIRsharing.s6zfkg","doi":"10.25504/FAIRsharing.s6zfkg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nursing Interventions Classification (NIC) is a comprehensive, research-based, standardized classification of interventions that nurses perform. It is useful for clinical documentation, communication of care across settings, integration of data across systems and settings, effectiveness research, productivity measurement, competency evaluation, reimbursement, and curricular design. The Classification includes the interventions that nurses do on behalf of patients, both independent and collaborative interventions, both direct and indirect care.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12511}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":["Nurse"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1850,"pubmed_id":8591448,"title":"Nursing interventions classification (NIC).","year":1995,"url":"https://www.ncbi.nlm.nih.gov/pubmed/8591448","authors":"Bulechek GM,McCloskey JC","journal":"Medinfo","doi":null,"created_at":"2021-09-30T08:25:47.838Z","updated_at":"2021-09-30T08:25:47.838Z"}],"licence_links":[],"grants":[{"id":6098,"fairsharing_record_id":740,"organisation_id":3071,"relation":"maintains","created_at":"2021-09-30T09:27:48.515Z","updated_at":"2021-09-30T09:27:48.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":3071,"name":"University of Iowa, Iowa, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6096,"fairsharing_record_id":740,"organisation_id":2157,"relation":"maintains","created_at":"2021-09-30T09:27:48.449Z","updated_at":"2021-09-30T09:27:48.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":2157,"name":"NIC Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6097,"fairsharing_record_id":740,"organisation_id":559,"relation":"maintains","created_at":"2021-09-30T09:27:48.482Z","updated_at":"2021-09-30T09:27:48.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":559,"name":"College of Nursing, University of Iowa, Iowa City, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"747","type":"fairsharing_records","attributes":{"created_at":"2017-08-03T14:35:27.000Z","updated_at":"2021-11-24T13:16:14.932Z","metadata":{"doi":"10.25504/FAIRsharing.h4j3qm","name":"Data Catalog Vocabulary","status":"ready","contacts":[{"contact_name":"Phil Archer","contact_email":"phila@w3.org","contact_orcid":"0000-0002-4989-0601"}],"homepage":"https://www.w3.org/TR/vocab-dcat/","identifier":747,"description":"An RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. By using DCAT to describe datasets in data catalogs, publishers increase discoverability and enable applications easily to consume metadata from multiple catalogs. It further enables decentralized publishing of catalogs and facilitates federated dataset search across sites. Aggregated DCAT metadata can serve as a manifest file to facilitate digital preservation.","abbreviation":"DCAT","support_links":[{"url":"https://www.w3.org/2017/dxwg/wiki/Main_Page","name":"Dataset eXchange Working Group","type":"Forum"},{"url":"https://github.com/w3c/dxwg/issues/","name":"Browse / submit issues in w3c/dxwg","type":"Github"},{"url":"https://github.com/w3c/dxwg/","name":"Dataset eXchange Working Group GitHub","type":"Github"}],"year_creation":2014},"legacy_ids":["bsg-000717","bsg-s000717"],"name":"FAIRsharing record for: Data Catalog Vocabulary","abbreviation":"DCAT","url":"https://fairsharing.org/10.25504/FAIRsharing.h4j3qm","doi":"10.25504/FAIRsharing.h4j3qm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. By using DCAT to describe datasets in data catalogs, publishers increase discoverability and enable applications easily to consume metadata from multiple catalogs. It further enables decentralized publishing of catalogs and facilitates federated dataset search across sites. Aggregated DCAT metadata can serve as a manifest file to facilitate digital preservation.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18159},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18284},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12939},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13169},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13213},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13241},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13286},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13331},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13337}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":10,"relation":"undefined"},{"licence_name":"W3C Policies and Legal information","licence_id":850,"licence_url":"http://www.w3.org/Consortium/Legal/2002/ipr-notice-20021231","link_id":12,"relation":"undefined"}],"grants":[{"id":6105,"fairsharing_record_id":747,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:48.698Z","updated_at":"2021-09-30T09:27:48.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6108,"fairsharing_record_id":747,"organisation_id":188,"relation":"funds","created_at":"2021-09-30T09:27:48.772Z","updated_at":"2021-09-30T09:27:48.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":188,"name":"Beihang University, Beihang, China","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6106,"fairsharing_record_id":747,"organisation_id":1631,"relation":"undefined","created_at":"2021-09-30T09:27:48.723Z","updated_at":"2021-09-30T09:27:48.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":1631,"name":"Keio University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":6107,"fairsharing_record_id":747,"organisation_id":589,"relation":"funds","created_at":"2021-09-30T09:27:48.748Z","updated_at":"2021-09-30T09:27:48.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":589,"name":"Computer Science and Artificial Intelligence Laboratory, Massacheusetts Institute of Technology, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6109,"fairsharing_record_id":747,"organisation_id":952,"relation":"funds","created_at":"2021-09-30T09:27:48.798Z","updated_at":"2021-09-30T09:27:48.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":952,"name":"European Research Consortium for Informatics and Mathematics","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"748","type":"fairsharing_records","attributes":{"created_at":"2018-07-16T18:46:05.000Z","updated_at":"2022-10-10T13:44:26.229Z","metadata":{"doi":"10.25504/FAIRsharing.8ae3d0","name":"Nuclear Magnetic Resonance Extracted Data Format","status":"ready","contacts":[{"contact_name":"Damien Jeannerat","contact_email":"damien.jeannerat@unige.ch","contact_orcid":"0000-0001-7018-4288"}],"homepage":"http://nmredata.org/","citations":[{"doi":"10.1002/mrc.4737","pubmed_id":29656574,"publication_id":2388}],"identifier":748,"description":"The Nuclear Magnetic Resonance Extracted Data Format (NMReDATA) associates NMR parameters extracted from 1D and 2D spectra of organic compounds to the proposed chemical structure. The format includes chemical shift values, signal integrals, intensities, multiplicities, scalar coupling constants, lists of 2D correlations, relaxation times, and diffusion rates. The file format is an extension of the existing Structure Data Format, which is compatible with the commonly used MOL format. The association of an NMReDATA file with the raw and spectral data from which it originates constitutes an NMR record. This format is easily readable by humans and computers and provides a simple and efficient way for disseminating results of structural chemistry investigations, allowing automatic verification of published results, and for assisting the constitution of highly needed open‐source structural databases.","abbreviation":"NMReDATA","support_links":[{"url":"https://github.com/NMReDATAInitiative","name":"NMReDATA GitHub Project","type":"Github"},{"url":"http://nmredata.org/wiki/Main_Page","name":"NMReDATA Wiki Pages","type":"Help documentation"},{"url":"http://nmredata.org/wiki/NMReDATA_tag_format","name":"NMReDATA Format Documentation","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001220","bsg-s001220"],"name":"FAIRsharing record for: Nuclear Magnetic Resonance Extracted Data Format","abbreviation":"NMReDATA","url":"https://fairsharing.org/10.25504/FAIRsharing.8ae3d0","doi":"10.25504/FAIRsharing.8ae3d0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nuclear Magnetic Resonance Extracted Data Format (NMReDATA) associates NMR parameters extracted from 1D and 2D spectra of organic compounds to the proposed chemical structure. The format includes chemical shift values, signal integrals, intensities, multiplicities, scalar coupling constants, lists of 2D correlations, relaxation times, and diffusion rates. The file format is an extension of the existing Structure Data Format, which is compatible with the commonly used MOL format. The association of an NMReDATA file with the raw and spectral data from which it originates constitutes an NMR record. This format is easily readable by humans and computers and provides a simple and efficient way for disseminating results of structural chemistry investigations, allowing automatic verification of published results, and for assisting the constitution of highly needed open‐source structural databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Chemical structure","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Bulgaria","Colombia","France","Germany","Russia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":2388,"pubmed_id":29656574,"title":"NMReDATA, a standard to report the NMR assignment and parameters of organic compounds.","year":2018,"url":"http://doi.org/10.1002/mrc.4737","authors":"Pupier M,Nuzillard JM,Wist J,Schlorer NE,KuhnS,Erdelyi M,SteinbeckC,Williams AJ,Butts C,Claridge TDW,Mikhova B,Robien W,Dashti H,Eghbalnia HR,Fares C,Adam C,Kessler P,Moriaud F,Elyashberg M,Argyropoulos D,Perez M,Giraudeau P,Gil RR,Trevorrow P,Jeannerat D","journal":"Magn Reson Chem","doi":"10.1002/mrc.4737","created_at":"2021-09-30T08:26:53.385Z","updated_at":"2021-09-30T08:26:53.385Z"}],"licence_links":[],"grants":[{"id":6113,"fairsharing_record_id":748,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:48.903Z","updated_at":"2021-09-30T09:31:40.466Z","grant_id":1277,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"580/3‐1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6112,"fairsharing_record_id":748,"organisation_id":731,"relation":"maintains","created_at":"2021-09-30T09:27:48.873Z","updated_at":"2021-09-30T09:27:48.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":731,"name":"Department of Organic Chemistry, University of Geneva, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6114,"fairsharing_record_id":748,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:48.932Z","updated_at":"2021-09-30T09:29:15.978Z","grant_id":166,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41GM111135","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6110,"fairsharing_record_id":748,"organisation_id":2634,"relation":"funds","created_at":"2021-09-30T09:27:48.823Z","updated_at":"2021-09-30T09:31:31.448Z","grant_id":1208,"is_lead":false,"saved_state":{"id":2634,"name":"State of Geneva, Switzerland","grant":"200021_147069","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6111,"fairsharing_record_id":748,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:27:48.848Z","updated_at":"2021-09-30T09:31:31.465Z","grant_id":1208,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"200021_147069","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7934,"fairsharing_record_id":748,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:55.402Z","updated_at":"2021-09-30T09:29:55.455Z","grant_id":470,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41GM103399","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8425,"fairsharing_record_id":748,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:32:34.752Z","updated_at":"2021-09-30T09:32:34.836Z","grant_id":1683,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"206021_128746","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"749","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:36:10.000Z","updated_at":"2022-12-14T08:23:45.695Z","metadata":{"doi":"10.25504/FAIRsharing.1zmmrI","name":"VOEvent Transport Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOEventTransport/index.html","citations":[{"publication_id":2940}],"identifier":749,"description":"The IVOA VOEvent Recommendation defines a means of describing transient celestial events but, purposely, remains silent on the topic of how those descriptions should be transmitted. This document formalizes a TCP-based protocol for VOEvent transportation that has been in use by members of the VOEvent community for several years and discusses the topology of the event distribution network. It is intended to act as a reference for the production of compliant protocol implementations.","abbreviation":null,"support_links":[{"url":"http://ivoa.net/documents/VOEventTransport/20170320/REC-VTP-2.0-20170320.html","name":"View Standard","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001158","bsg-s001158"],"name":"FAIRsharing record for: VOEvent Transport Protocol","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1zmmrI","doi":"10.25504/FAIRsharing.1zmmrI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA VOEvent Recommendation defines a means of describing transient celestial events but, purposely, remains silent on the topic of how those descriptions should be transmitted. This document formalizes a TCP-based protocol for VOEvent transportation that has been in use by members of the VOEvent community for several years and discusses the topology of the event distribution network. It is intended to act as a reference for the production of compliant protocol implementations.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11458}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2940,"pubmed_id":null,"title":"VOEvent Transport Protocol Version 2.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0320S","authors":"Swinbank, John D.; Allan, Alasdair; Denny, Robert B.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.341Z","updated_at":"2021-09-30T08:28:02.341Z"}],"licence_links":[],"grants":[{"id":6115,"fairsharing_record_id":749,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:48.962Z","updated_at":"2021-09-30T09:27:48.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6116,"fairsharing_record_id":749,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:27:48.990Z","updated_at":"2021-09-30T09:27:48.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"750","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T13:11:08.000Z","updated_at":"2022-02-08T10:30:54.062Z","metadata":{"doi":"10.25504/FAIRsharing.3cf5bc","name":"Open Provenance Model Vocabulary","status":"ready","contacts":[{"contact_name":"Jun Zhao","contact_email":"jun.zhao@cs.ox.ac.uk"}],"homepage":"http://purl.org/net/opmv/ns","identifier":750,"description":"OPMV, the Open Provenance Model Vocabulary, is a lightweight provenance vocabulary created to aid responsible data publishing and interoperability between provenance information on the Semantic Web. The Open Provenance Model Vocabulary is closely based on OPM data model. OPMV can be used together with other provenance-related RDF/OWL vocabularies/ontologies, such as Dublin Core, FOAF, the Changeset Vocabulary, and the Provenance Vocabulary.","abbreviation":"OPMV","year_creation":2010},"legacy_ids":["bsg-001434","bsg-s001434"],"name":"FAIRsharing record for: Open Provenance Model Vocabulary","abbreviation":"OPMV","url":"https://fairsharing.org/10.25504/FAIRsharing.3cf5bc","doi":"10.25504/FAIRsharing.3cf5bc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OPMV, the Open Provenance Model Vocabulary, is a lightweight provenance vocabulary created to aid responsible data publishing and interoperability between provenance information on the Semantic Web. The Open Provenance Model Vocabulary is closely based on OPM data model. OPMV can be used together with other provenance-related RDF/OWL vocabularies/ontologies, such as Dublin Core, FOAF, the Changeset Vocabulary, and the Provenance Vocabulary.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 1.0 Generic (CC BY 1.0)","licence_id":156,"licence_url":"https://creativecommons.org/licenses/by/1.0/","link_id":1716,"relation":"undefined"}],"grants":[{"id":6117,"fairsharing_record_id":750,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:27:49.014Z","updated_at":"2021-09-30T09:27:49.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"751","type":"fairsharing_records","attributes":{"created_at":"2018-10-18T17:33:00.000Z","updated_at":"2024-06-13T11:01:50.252Z","metadata":{"doi":"10.25504/FAIRsharing.35db1b","name":"AGLS Metadata Standard","status":"deprecated","contacts":[],"homepage":"https://www.naa.gov.au/information-management/standards/agls-metadata-standard","citations":[],"identifier":751,"description":"The AGLS Metadata Standard (Australian Standard AS 5044-2010) provides a set of metadata properties and associated usage guidelines to improve the visibility, manageability and interoperability of online information and services. AGLS is an application profile of Dublin Core metadata standard.","abbreviation":"AS 5044-2010","support_links":[{"url":"https://agls.gov.au/contact/","name":"Contact","type":"Contact form"},{"url":"https://agls.gov.au/documents/","name":"Full Document Listing","type":"Help documentation"},{"url":"https://agls.gov.au/pdf/AGLS%20Metadata%20Standard%20Part%202%20Usage%20Guide.PDF","name":"Usage Guide (PDF)","type":"Help documentation"}],"year_creation":1998,"deprecation_date":"2024-06-13","deprecation_reason":"Homepage message : \nRetirement of the AGLS Metadata Standard\nThe AGLS Metadata Standard was originally developed in 1997 to improve the visibility, availability and interoperability of online information.\nNational Archives has decommissioned the AGLS website and uncoupled our responsibilities from AS 5044-2010 which is managed by Standards Australia. These changes will not affect the continuing existence of AS 5044-2010 but the role of the National Archives has changed. We consulted with Standards Australia before we took down the AGLS website.\nThe National Archives prepared new advice on Metadata for the web and a case study from Geoscience Australia to assist those agencies in the post-AGLS environment."},"legacy_ids":["bsg-001329","bsg-s001329"],"name":"FAIRsharing record for: AGLS Metadata Standard","abbreviation":"AS 5044-2010","url":"https://fairsharing.org/10.25504/FAIRsharing.35db1b","doi":"10.25504/FAIRsharing.35db1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AGLS Metadata Standard (Australian Standard AS 5044-2010) provides a set of metadata properties and associated usage guidelines to improve the visibility, manageability and interoperability of online information and services. AGLS is an application profile of Dublin Core metadata standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Resource metadata","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Australian Government Copyright","licence_id":50,"licence_url":"http://www.agls.gov.au/copyright/","link_id":125,"relation":"undefined"}],"grants":[{"id":6118,"fairsharing_record_id":751,"organisation_id":1950,"relation":"maintains","created_at":"2021-09-30T09:27:49.045Z","updated_at":"2021-09-30T09:27:49.045Z","grant_id":null,"is_lead":true,"saved_state":{"id":1950,"name":"National Archives of Australia, Australian Government, Australia","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"752","type":"fairsharing_records","attributes":{"created_at":"2019-06-18T12:44:24.000Z","updated_at":"2022-07-20T10:37:08.540Z","metadata":{"doi":"10.25504/FAIRsharing.fCAD2Z","name":"Minimum Information Guideline for Kidney Disease: Research and Clinical Data Reporting","status":"ready","contacts":[{"contact_name":"Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"https://www.h3abionet.org/data-standards/datastds","citations":[{"doi":"10.1136/bmjopen-2019-029539","pubmed_id":31772086,"publication_id":2894}],"identifier":752,"description":"The MIGKD is a standardised reporting guideline for kidney disease research and clinical data reporting. It was created to improve the quality and integrity of kidney disease data as well as combat challenges associated with the management of ‘Big Data’. It proposes study-, sample- and disease-specific elements harmonized with existing standards.","abbreviation":"MIGKD","support_links":[{"url":"https://www.h3abionet.org/images/DataAndStandards/DataStandards/Recommendations_For_Use_Guideline.pdf","name":"Recommendations for Use","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001385","bsg-s001385"],"name":"FAIRsharing record for: Minimum Information Guideline for Kidney Disease: Research and Clinical Data Reporting","abbreviation":"MIGKD","url":"https://fairsharing.org/10.25504/FAIRsharing.fCAD2Z","doi":"10.25504/FAIRsharing.fCAD2Z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIGKD is a standardised reporting guideline for kidney disease research and clinical data reporting. It was created to improve the quality and integrity of kidney disease data as well as combat challenges associated with the management of ‘Big Data’. It proposes study-, sample- and disease-specific elements harmonized with existing standards.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12546}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Critical Care Medicine","Medicine","Urology","Preclinical Studies","Medical Informatics"],"domains":["Kidney disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Mauritius","South Africa","Tunisia"],"publications":[{"id":2894,"pubmed_id":31772086,"title":"Proposed minimum information guideline for kidney disease-research and clinical data reporting: a cross-sectional study.","year":2019,"url":"http://doi.org/10.1136/bmjopen-2019-029539","authors":"Kumuthini J,van Woerden C,Mallett A,Zass L,Chaouch M,Thompson M,Johnston K,Mbiyavanga M,Baichoo S,Mungloo-Dilmohamud Z,Patel C,Mulder N","journal":"BMJ Open","doi":"10.1136/bmjopen-2019-029539","created_at":"2021-09-30T08:27:56.325Z","updated_at":"2021-09-30T08:27:56.325Z"}],"licence_links":[],"grants":[{"id":6120,"fairsharing_record_id":752,"organisation_id":1207,"relation":"funds","created_at":"2021-09-30T09:27:49.129Z","updated_at":"2021-09-30T09:27:49.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":1207,"name":"H3ABioNet","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6119,"fairsharing_record_id":752,"organisation_id":468,"relation":"maintains","created_at":"2021-09-30T09:27:49.086Z","updated_at":"2021-09-30T09:27:49.086Z","grant_id":null,"is_lead":true,"saved_state":{"id":468,"name":"Centre for Proteomic and Genomic Research (CPGR), Cape Town, South Africa","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"754","type":"fairsharing_records","attributes":{"created_at":"2015-09-28T22:24:15.000Z","updated_at":"2023-04-23T12:57:54.512Z","metadata":{"doi":"10.25504/FAIRsharing.e9sg7","name":"Sampling Features OWL implementation","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"dr.shorthair@pm.me","contact_orcid":"0000-0002-3884-3420"}],"homepage":"https://www.semantic-web-journal.net/system/files/swj1237.pdf","citations":[],"identifier":754,"description":"An OWL representation of the Sampling Features Schema described in clauses 9-11 of ISO 19156:2011 Geographic Information - Observations and Measurements.","abbreviation":"sam-lite","year_creation":2014},"legacy_ids":["bsg-000621","bsg-s000621"],"name":"FAIRsharing record for: Sampling Features OWL implementation","abbreviation":"sam-lite","url":"https://fairsharing.org/10.25504/FAIRsharing.e9sg7","doi":"10.25504/FAIRsharing.e9sg7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An OWL representation of the Sampling Features Schema described in clauses 9-11 of ISO 19156:2011 Geographic Information - Observations and Measurements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Experimental measurement","Geographical location","Observation design"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":2230,"pubmed_id":null,"title":"Ontology for observations and sampling features, with alignments to existing models","year":2017,"url":"http://doi.org/10.3233/SW-160214","authors":"Cox, Simon J D","journal":"Semantic Web Journal","doi":"10.3233/SW-160214","created_at":"2021-09-30T08:26:31.314Z","updated_at":"2021-09-30T08:26:31.314Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":5,"relation":"undefined"}],"grants":[{"id":6121,"fairsharing_record_id":754,"organisation_id":624,"relation":"maintains","created_at":"2021-09-30T09:27:49.167Z","updated_at":"2021-09-30T09:27:49.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":624,"name":"CSIRO Land and Water, Highett, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"755","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2024-03-21T14:11:22.234Z","metadata":{"doi":"10.25504/FAIRsharing.pmygc7","name":"CEDAR Value Sets","status":"deprecated","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu"}],"homepage":"https://metadatacenter.github.io/cedar-manual/sections/c3/2_defining_your_answers_with%20term_lists/#searching-for-ontologies-and-value-sets","citations":[],"identifier":755,"description":"A Value Set in CEDAR is like a very simple ontology; it consists only of a set of terms that have identifiers and labels. Value Sets tend to be smaller than ontologies as well, and organized around a single topic. This record described the initial set of value sets uploaded to BioPortal.","abbreviation":null,"support_links":[],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CEDARVS","name":"CEDARVS","portal":"BioPortal"}],"deprecation_date":"2024-03-05","deprecation_reason":"This resource described a version of the value sets available on BioPortal and not updated since 2015. The version of the value sets as described on the CEDAR site do not conform with the current scope of the FAIRsharing standards registry, and therefore this record has been deprecated. Please get in touch with us if you have any information or questions."},"legacy_ids":["bsg-000878","bsg-s000878"],"name":"FAIRsharing record for: CEDAR Value Sets","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pmygc7","doi":"10.25504/FAIRsharing.pmygc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A Value Set in CEDAR is like a very simple ontology; it consists only of a set of terms that have identifiers and labels. Value Sets tend to be smaller than ontologies as well, and organized around a single topic. This record described the initial set of value sets uploaded to BioPortal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Integration","Data Governance"],"domains":["Resource metadata","Experimental measurement","Protocol","Study design","Machine learning","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":11461,"fairsharing_record_id":755,"organisation_id":420,"relation":"maintains","created_at":"2024-03-05T14:16:34.143Z","updated_at":"2024-03-05T14:16:34.143Z","grant_id":null,"is_lead":true,"saved_state":{"id":420,"name":"Center for Expanded Data Annotation and Retrieval (CEDAR)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"763","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-05T14:18:59.358Z","metadata":{"doi":"10.25504/FAIRsharing.tw4q8x","name":"Ontology of Adverse Events","status":"ready","contacts":[{"contact_name":"Yongqun \"Oliver\" He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/oae-ontology","citations":[{"doi":"10.1186/2041-1480-5-29","pubmed_id":25093068,"publication_id":909}],"identifier":763,"description":"The Ontology of Adverse Events (OAE) is a community-driven ontology that is developed to standardize and integrate data on biomedical adverse events (e.g., vaccine and drug adverse events) and support computer-assisted reasoning. As a result of a medical intervention, events may occur which lie outside the intended consequences of the intervention. Some of these events are adverse events, in the sense that they are pathological bodily processes. For many such adverse events it is unclear whether they are causal consequences of the medical intervention which preceded them, since adverse events may also occur due to other reasons (for example a natural viral infection). OAE was created to represent the whole process from initial medical intervention to subsequent outcomes.","abbreviation":"OAE","support_links":[{"url":"oae-discuss@googlegroups.com","name":"OAE Mailing List","type":"Mailing list"},{"url":"http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0049941","type":"Help documentation"},{"url":"http://www.oae-ontology.org/AEO_ICBO-2011_Proceeding.pdf","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OAE","name":"OAE","portal":"BioPortal"}]},"legacy_ids":["bsg-002664","bsg-s002664"],"name":"FAIRsharing record for: Ontology of Adverse Events","abbreviation":"OAE","url":"https://fairsharing.org/10.25504/FAIRsharing.tw4q8x","doi":"10.25504/FAIRsharing.tw4q8x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Adverse Events (OAE) is a community-driven ontology that is developed to standardize and integrate data on biomedical adverse events (e.g., vaccine and drug adverse events) and support computer-assisted reasoning. As a result of a medical intervention, events may occur which lie outside the intended consequences of the intervention. Some of these events are adverse events, in the sense that they are pathological bodily processes. For many such adverse events it is unclear whether they are causal consequences of the medical intervention which preceded them, since adverse events may also occur due to other reasons (for example a natural viral infection). OAE was created to represent the whole process from initial medical intervention to subsequent outcomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Adverse Reaction","Vaccine"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":909,"pubmed_id":25093068,"title":"OAE: The Ontology of Adverse Events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-29","authors":"He Y,Sarntivijai S,Lin Y,Xiang Z,Guo A,Zhang S,Jagannathan D,Toldo L,Tao C,Smith B","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-29","created_at":"2021-09-30T08:24:00.403Z","updated_at":"2021-09-30T08:24:00.403Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":344,"relation":"undefined"}],"grants":[{"id":8669,"fairsharing_record_id":763,"organisation_id":1230,"relation":"maintains","created_at":"2022-01-05T13:55:31.075Z","updated_at":"2022-01-05T13:55:31.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6157,"fairsharing_record_id":763,"organisation_id":3094,"relation":"maintains","created_at":"2021-09-30T09:27:50.580Z","updated_at":"2021-09-30T09:27:50.580Z","grant_id":null,"is_lead":true,"saved_state":{"id":3094,"name":"University of Michigan Medical School, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"764","type":"fairsharing_records","attributes":{"created_at":"2020-07-08T12:49:16.000Z","updated_at":"2023-09-29T11:54:56.158Z","metadata":{"doi":"10.25504/FAIRsharing.495736","name":"ISO 639-1:2002 Codes for the representation of names of languages — Part 1: Alpha-2 code","status":"ready","contacts":[{"contact_name":"Maryse Benhoff","contact_email":"mmb@bgcommunications.ca"}],"homepage":"https://www.iso.org/standard/22109.html","citations":[],"identifier":764,"description":"This part of ISO 639 provides a code consisting of language code elements comprising two-letter language identifiers for the representation of names of languages. The language identifiers according to this part of ISO 639 were devised originally for use in terminology, lexicography and linguistics, but may be adopted for any application requiring the expression of language in two-letter coded form, especially in computerized systems. Languages designed exclusively for machine use, such as computer-programming languages, are not included in this code.","abbreviation":"ISO 639-1:2002","year_creation":1988},"legacy_ids":["bsg-001509","bsg-s001509"],"name":"FAIRsharing record for: ISO 639-1:2002 Codes for the representation of names of languages — Part 1: Alpha-2 code","abbreviation":"ISO 639-1:2002","url":"https://fairsharing.org/10.25504/FAIRsharing.495736","doi":"10.25504/FAIRsharing.495736","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This part of ISO 639 provides a code consisting of language code elements comprising two-letter language identifiers for the representation of names of languages. The language identifiers according to this part of ISO 639 were devised originally for use in terminology, lexicography and linguistics, but may be adopted for any application requiring the expression of language in two-letter coded form, especially in computerized systems. Languages designed exclusively for machine use, such as computer-programming languages, are not included in this code.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17378}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Informatics","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Language"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2007,"relation":"undefined"}],"grants":[{"id":6158,"fairsharing_record_id":764,"organisation_id":1526,"relation":"maintains","created_at":"2021-09-30T09:27:50.622Z","updated_at":"2021-09-30T09:27:50.622Z","grant_id":null,"is_lead":true,"saved_state":{"id":1526,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 2: Terminology workflow and language coding","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10911,"fairsharing_record_id":764,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:05:10.516Z","updated_at":"2023-09-27T14:05:10.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"765","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:16:30.000Z","updated_at":"2022-11-01T11:56:54.230Z","metadata":{"doi":"10.25504/FAIRsharing.ztr3n9","name":"FAIR Metrics - Machine-readability of metadata","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F2","citations":[],"identifier":765,"description":"FM-F2 measures the availability of machine-readable metadata that describes a digital resource. This metric does not attempt to measure (or even define) \"Richness\" - this will be defined in a future Metric. This metric is intended to test the format of the metadata - machine readability of metadata makes it possible to optimize discovery. For instance, Web search engines suggest the use of particular structured metadata elements to optimize search. Thus, the machine-readability aspect can help people and machines find a digital resource of interest. To conform to this metric, a URL to a document that contains machine-readable metadata for the digital resource must be provided. Furthermore, the file format must be specified. This metric applies to part F2 of the FAIR Principles.","abbreviation":"FM-F2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001344","bsg-s001344"],"name":"FAIRsharing record for: FAIR Metrics - Machine-readability of metadata","abbreviation":"FM-F2","url":"https://fairsharing.org/10.25504/FAIRsharing.ztr3n9","doi":"10.25504/FAIRsharing.ztr3n9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-F2 measures the availability of machine-readable metadata that describes a digital resource. This metric does not attempt to measure (or even define) \"Richness\" - this will be defined in a future Metric. This metric is intended to test the format of the metadata - machine readability of metadata makes it possible to optimize discovery. For instance, Web search engines suggest the use of particular structured metadata elements to optimize search. Thus, the machine-readability aspect can help people and machines find a digital resource of interest. To conform to this metric, a URL to a document that contains machine-readable metadata for the digital resource must be provided. Furthermore, the file format must be specified. This metric applies to part F2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1409,"relation":"undefined"}],"grants":[{"id":6160,"fairsharing_record_id":765,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:50.701Z","updated_at":"2021-09-30T09:27:50.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6159,"fairsharing_record_id":765,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:50.664Z","updated_at":"2021-09-30T09:27:50.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6161,"fairsharing_record_id":765,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:50.733Z","updated_at":"2021-09-30T09:27:50.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6162,"fairsharing_record_id":765,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:50.763Z","updated_at":"2021-09-30T09:27:50.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"742","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.931Z","metadata":{"doi":"10.25504/FAIRsharing.3fc9zf","name":"openEHR Health Record Specification","status":"ready","contacts":[{"contact_name":"Koray Atalag","contact_email":"k.atalag@auckland.ac.nz","contact_orcid":"0000-0003-0517-4803"}],"homepage":"http://www.openehr.org","identifier":742,"description":"openEHR is an open standard that uses a novel two-level modelling methodology to represent health information and meta-data by preserving the semantics during when it were created. It enables semantic interoperability and makes it possible to link disparate data sources easily and safely. It also allows for terminology binding which provides the bridge between the 'terminology' and 'information model' this making it much more useful than using these standards separately. Although openEHR is a de-facto standard that is developed by volunteers openly, ISO and CEN adopted it (ISO/EN 13606) so it is a full international standard. It has relationship and mappings between other standards, such as HL7.","abbreviation":"openEHR","support_links":[{"url":"https://www.researchgate.net/publication/268923409_On_the_Maintainability_of_openEHR_Based_Health_Information_Systems_-_an_Evaluation_Study_in_Endoscopy","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000525","bsg-s000525"],"name":"FAIRsharing record for: openEHR Health Record Specification","abbreviation":"openEHR","url":"https://fairsharing.org/10.25504/FAIRsharing.3fc9zf","doi":"10.25504/FAIRsharing.3fc9zf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: openEHR is an open standard that uses a novel two-level modelling methodology to represent health information and meta-data by preserving the semantics during when it were created. It enables semantic interoperability and makes it possible to link disparate data sources easily and safely. It also allows for terminology binding which provides the bridge between the 'terminology' and 'information model' this making it much more useful than using these standards separately. Although openEHR is a de-facto standard that is developed by volunteers openly, ISO and CEN adopted it (ISO/EN 13606) so it is a full international standard. It has relationship and mappings between other standards, such as HL7.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12473},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16902}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","France","Germany","New Zealand","United Kingdom","United States"],"publications":[{"id":267,"pubmed_id":null,"title":"The openEHR Foundation","year":2005,"url":"https://ebooks.iospress.nl/publication/10257","authors":"Kalra D, Beale T, Heard S.","journal":"Studies in health technology and informatics","doi":null,"created_at":"2021-09-30T08:22:48.865Z","updated_at":"2021-09-30T11:28:29.188Z"}],"licence_links":[],"grants":[{"id":6102,"fairsharing_record_id":742,"organisation_id":2255,"relation":"maintains","created_at":"2021-09-30T09:27:48.615Z","updated_at":"2021-09-30T09:27:48.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":2255,"name":"openEHR Foundation","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6103,"fairsharing_record_id":742,"organisation_id":3016,"relation":"funds","created_at":"2021-09-30T09:27:48.647Z","updated_at":"2021-09-30T09:29:35.645Z","grant_id":316,"is_lead":false,"saved_state":{"id":3016,"name":"University of Auckland, New Zealand","grant":"3624469/9843","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"743","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-07-20T12:14:06.133Z","metadata":{"doi":"10.25504/FAIRsharing.w7bw2y","name":"Environment Ontology for Livestock","status":"ready","contacts":[{"contact_name":"Matthieu Reichstadt","contact_email":"matthieu.reichstadt@clermont.inra.fr"}],"homepage":"http://www.atol-ontology.com/en/eol-2/","identifier":743,"description":"The EOL ontology describes environmental conditions of livestock farms. More specifically, it describes the feeding modalities, the environment, the structure of livestock farms and rearing systems.","abbreviation":"EOL","support_links":[{"url":"https://www.ebi.ac.uk/ols/ontologies/eol","name":"EOL in the EBI Ontology Lookup Service (OLS)","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EOL","name":"EOL","portal":"BioPortal"}]},"legacy_ids":["bsg-000864","bsg-s000864"],"name":"FAIRsharing record for: Environment Ontology for Livestock","abbreviation":"EOL","url":"https://fairsharing.org/10.25504/FAIRsharing.w7bw2y","doi":"10.25504/FAIRsharing.w7bw2y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EOL ontology describes environmental conditions of livestock farms. More specifically, it describes the feeding modalities, the environment, the structure of livestock farms and rearing systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Animal Husbandry","Agriculture"],"domains":[],"taxonomies":["Vertebrata"],"user_defined_tags":["Livestock","Species-environment interaction"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":900,"relation":"undefined"}],"grants":[{"id":6104,"fairsharing_record_id":743,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:48.672Z","updated_at":"2021-09-30T09:27:48.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"745","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-08-01T22:31:01.873Z","metadata":{"doi":"10.25504/FAIRsharing.x68yjk","name":"CARRE Risk Factor ontology","status":"ready","contacts":[{"contact_name":"Allan Third","contact_email":"allan.third@open.ac.uk"}],"homepage":"https://www.carre-project.eu/innovation/risk-factor-ontology/","citations":[],"identifier":745,"description":"The “core” of the CARRE Risk Factor Ontology is the semantic representation of the CARRE data model for risk (D.2.2), intended to represent current medical knowledge regarding cardiorenal risk factors. This core relates to public data; that is to say, data from the medical literature regarding conditions, genetics, demographics and the environment, how these factors interact and the studies and evidence quality relating to their interactions. Please note that, while available, this resource has not been updated since 2014.","abbreviation":"CARRE","support_links":[],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CARRE","name":"CARRE","portal":"BioPortal"}]},"legacy_ids":["bsg-000872","bsg-s000872"],"name":"FAIRsharing record for: CARRE Risk Factor ontology","abbreviation":"CARRE","url":"https://fairsharing.org/10.25504/FAIRsharing.x68yjk","doi":"10.25504/FAIRsharing.x68yjk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The “core” of the CARRE Risk Factor Ontology is the semantic representation of the CARRE data model for risk (D.2.2), intended to represent current medical knowledge regarding cardiorenal risk factors. This core relates to public data; that is to say, data from the medical literature regarding conditions, genetics, demographics and the environment, how these factors interact and the studies and evidence quality relating to their interactions. Please note that, while available, this resource has not been updated since 2014.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17359}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2774,"relation":"applies_to_content"}],"grants":[{"id":9732,"fairsharing_record_id":745,"organisation_id":2816,"relation":"maintains","created_at":"2022-08-01T22:19:57.977Z","updated_at":"2022-08-01T22:19:57.977Z","grant_id":null,"is_lead":false,"saved_state":{"id":2816,"name":"The Open University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9731,"fairsharing_record_id":745,"organisation_id":3622,"relation":"maintains","created_at":"2022-08-01T22:19:57.968Z","updated_at":"2022-08-01T22:19:57.968Z","grant_id":null,"is_lead":false,"saved_state":{"id":3622,"name":"The CARRE Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"746","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-03-15T11:16:56.897Z","metadata":{"doi":"10.25504/FAIRsharing.9thw6y","name":"HIVCompoundRels","status":"deprecated","contacts":[{"contact_name":"Hanfei Bao","contact_email":"hanfeib@gmail.com"}],"homepage":"http://blog.51.ca/u-345129/","citations":[],"identifier":746,"description":"The Ontology to express the ternary relations of HIV1","abbreviation":"HIVCRS","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HIVCRS","name":"HIVCRS","portal":"BioPortal"}],"deprecation_date":"2023-03-15","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-000873","bsg-s000873"],"name":"FAIRsharing record for: HIVCompoundRels","abbreviation":"HIVCRS","url":"https://fairsharing.org/10.25504/FAIRsharing.9thw6y","doi":"10.25504/FAIRsharing.9thw6y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology to express the ternary relations of HIV1","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"757","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:28:35.446Z","metadata":{"doi":"10.25504/FAIRsharing.kbtt7f","name":"Human Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Sebastian Kohler","contact_email":"sebastian.koehler@charite.de"}],"homepage":"https://hpo.jax.org/","citations":[{"doi":"https://doi.org/10.1093/nar/gkw1039","pubmed_id":27899602,"publication_id":2510}],"identifier":757,"description":"The Human Phenotype Ontology has been developed to provide a structured and controlled vocabulary for the phenotypic features encountered in human hereditary and other disease. The goal is to provide resource for the computational analysis of the human phenome, with a focus on monogenic diseases listed in the Online Mendelian Inheritance in Man (OMIM) and Orphanet databases, for which annotations are also provided.","abbreviation":"HP","support_links":[{"url":"peter.robinson@jax.org","name":"peter.robinson@jax.org","type":"Support email"},{"url":"dr.sebastian.koehler@gmail.com","name":"dr.sebastian.koehler@gmail.com","type":"Support email"},{"url":"https://hpo.jax.org/app/faq","name":"HPO FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://hpo.jax.org/app/help/introduction","name":"Help Pages","type":"Help documentation"},{"url":"https://twitter.com/hp_ontology","name":"@hp_ontology","type":"Twitter"}],"year_creation":2008,"associated_tools":[{"url":"http://compbio.charite.de/phenomizer/","name":"Phenomizer"},{"url":"http://exomiser.monarchinitiative.org/exomiser/","name":"Exomiser"},{"url":"https://phenomics.github.io/software-phenoviz.html","name":"PhenogramViz 0.1.3"},{"url":"https://github.com/monarch-initiative/PhenoteFX","name":"PhenoteFX"},{"url":"https://github.com/monarch-initiative/hpoannotqc","name":"HpoAnnotQc"},{"url":"https://github.com/monarch-initiative/loinc2hpo","name":"Loinc2HPO"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HP","name":"HP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/hp.html","name":"hp","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000131","bsg-s000131"],"name":"FAIRsharing record for: Human Phenotype Ontology","abbreviation":"HP","url":"https://fairsharing.org/10.25504/FAIRsharing.kbtt7f","doi":"10.25504/FAIRsharing.kbtt7f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Phenotype Ontology has been developed to provide a structured and controlled vocabulary for the phenotypic features encountered in human hereditary and other disease. The goal is to provide resource for the computational analysis of the human phenome, with a focus on monogenic diseases listed in the Online Mendelian Inheritance in Man (OMIM) and Orphanet databases, for which annotations are also provided.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17576},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10870},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11022},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11267},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11953},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12204},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12413},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16954}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phenomics","Biomedical Science","Preclinical Studies"],"domains":["Phenotype","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":1246,"pubmed_id":24217912,"title":"The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1026","authors":"Kohler S,Doelken SC,Mungall CJ,Bauer S,Firth HV,Bailleul-Forestier I,Black GC,Brown DL,Brudno M,Campbell J,FitzPatrick DR,Eppig JT,Jackson AP,Freson K,Girdea M,Helbig I,Hurst JA,Jahn J,Jackson LG,Kelly AM,Ledbetter DH,Mansour S,Martin CL,Moss C,Mumford A,Ouwehand WH,Park SM,Riggs ER,Scott RH,Sisodiya S,Van Vooren S,Wapner RJ,Wilkie AO,Wright CF,Vulto-van Silfhout AT,de Leeuw N,de Vries BB,Washingthon NL,Smith CL,Westerfield M,Schofield P,Ruef BJ,Gkoutos GV,Haendel M,Smedley D,Lewis SE,Robinson PN","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1026","created_at":"2021-09-30T08:24:38.973Z","updated_at":"2021-09-30T11:29:03.901Z"},{"id":2510,"pubmed_id":27899602,"title":"The Human Phenotype Ontology in 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1039","authors":"Köhler S, Vasilevsky NA, Engelstad M, Foster E, McMurry J, Aymé S, Baynam G, Bello SM, Boerkoel CF, Boycott KM, Brudno M, Buske OJ, Chinnery PF, Cipriani V, Connell LE, Dawkins HJ, DeMare LE, Devereau AD, de Vries BB, Firth HV, Freson K, Greene D, Hamosh A, Helbig I, Hum C, Jähn JA, James R, Krause R, F Laulederkind SJ, Lochmüller H, Lyon GJ, Ogishima S, Olry A, Ouwehand WH, Pontikos N, Rath A, Schaefer F, Scott RH, Segal M, Sergouniotis PI, Sever R, Smith CL, Straub V, Thompson R, Turner C, Turro E, Veltman MW, Vulliamy T, Yu J, von Ziegenweidt J, Zankl A, Züchner S, Zemojtel T, Jacobsen JO, Groza T, Smedley D, Mungall CJ, Haendel M, Robinson PN.","journal":"Nucleic Acids Res.","doi":"https://doi.org/10.1093/nar/gkw1039","created_at":"2021-09-30T08:27:08.060Z","updated_at":"2021-09-30T08:27:08.060Z"},{"id":2511,"pubmed_id":20412080,"title":"The human phenotype ontology.","year":2010,"url":"http://doi.org/10.1111/j.1399-0004.2010.01436.x","authors":"Robinson PN,Mundlos S","journal":"Clin Genet","doi":"10.1111/j.1399-0004.2010.01436.x","created_at":"2021-09-30T08:27:08.170Z","updated_at":"2021-09-30T08:27:08.170Z"},{"id":2512,"pubmed_id":30476213,"title":"Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources.","year":2018,"url":"http://doi.org/10.1093/nar/gky1105","authors":"Kohler S,Carmody L,Vasilevsky N,Jacobsen JOB,Danis D,Gourdine JP,Gargano M,Harris NL,Matentzoglu N,McMurry JA,Osumi-Sutherland D,Cipriani V,Balhoff JP,Conlin T,Blau H,Baynam G,Palmer R,Gratian D,Dawkins H,Segal M,Jansen AC,Muaz A,Chang WH,Bergerson J,Laulederkind SJF,Yuksel Z,Beltran S,Freeman AF,Sergouniotis PI,Durkin D,Storm AL,Hanauer M,Brudno M,Bello SM,Sincan M,Rageth K,Wheeler MT,Oegema R,Lourghi H,Della Rocca MG,Thompson R,Castellanos F,Priest J,Cunningham-Rundles C,Hegde A,Lovering RC,Hajek C,Olry A,Notarangelo L,Similuk M,Zhang XA,Gomez-Andres D,Lochmuller H,Dollfus H,Rosenzweig S,Marwaha S,Rath A,Sullivan K,Smith C,Milner JD,Leroux D,Boerkoel CF,Klion A,Carter MC,Groza T,Smedley D,Haendel MA,Mungall C,Robinson PN","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1105","created_at":"2021-09-30T08:27:08.273Z","updated_at":"2021-09-30T11:29:38.578Z"},{"id":2513,"pubmed_id":18950739,"title":"The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease.","year":2008,"url":"http://doi.org/10.1016/j.ajhg.2008.09.017","authors":"Robinson PN,Kohler S,Bauer S,Seelow D,Horn D,Mundlos S","journal":"Am J Hum Genet","doi":"10.1016/j.ajhg.2008.09.017","created_at":"2021-09-30T08:27:08.374Z","updated_at":"2021-09-30T08:27:08.374Z"}],"licence_links":[{"licence_name":"HPO license","licence_id":403,"licence_url":"https://hpo.jax.org/app/license","link_id":1555,"relation":"undefined"}],"grants":[{"id":6122,"fairsharing_record_id":757,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:49.204Z","updated_at":"2021-09-30T09:27:49.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6130,"fairsharing_record_id":757,"organisation_id":903,"relation":"funds","created_at":"2021-09-30T09:27:49.485Z","updated_at":"2021-09-30T09:27:49.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":903,"name":"EuroEPINOMICS, European Science Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6135,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:49.646Z","updated_at":"2021-09-30T09:30:07.294Z","grant_id":560,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HE5415/3-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6129,"fairsharing_record_id":757,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:27:49.445Z","updated_at":"2021-09-30T09:30:35.217Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6124,"fairsharing_record_id":757,"organisation_id":900,"relation":"funds","created_at":"2021-09-30T09:27:49.288Z","updated_at":"2021-09-30T09:30:42.839Z","grant_id":835,"is_lead":false,"saved_state":{"id":900,"name":"EURenOmics","grant":"2012-305608","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6141,"fairsharing_record_id":757,"organisation_id":2406,"relation":"funds","created_at":"2021-09-30T09:27:49.923Z","updated_at":"2021-09-30T09:31:26.519Z","grant_id":1170,"is_lead":false,"saved_state":{"id":2406,"name":"RD-Connect","grant":"305444","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6139,"fairsharing_record_id":757,"organisation_id":2163,"relation":"funds","created_at":"2021-09-30T09:27:49.838Z","updated_at":"2021-09-30T09:31:58.336Z","grant_id":1411,"is_lead":false,"saved_state":{"id":2163,"name":"NIH Data Commons","grant":"OT3 OD02464-01 UNCCH","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6138,"fairsharing_record_id":757,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:27:49.797Z","updated_at":"2021-09-30T09:29:02.428Z","grant_id":67,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"779257","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8094,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:30:54.312Z","updated_at":"2021-09-30T09:30:54.362Z","grant_id":928,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HE5415/6-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6125,"fairsharing_record_id":757,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:49.325Z","updated_at":"2021-09-30T09:30:11.396Z","grant_id":591,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1OT3TR002019","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6127,"fairsharing_record_id":757,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:49.385Z","updated_at":"2021-09-30T09:30:17.221Z","grant_id":638,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"602300","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6137,"fairsharing_record_id":757,"organisation_id":877,"relation":"funds","created_at":"2021-09-30T09:27:49.746Z","updated_at":"2021-09-30T09:30:36.200Z","grant_id":785,"is_lead":false,"saved_state":{"id":877,"name":"E-RARE project Hipbi-RD","grant":"01GM1608","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8282,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:31:54.157Z","updated_at":"2021-09-30T09:31:54.207Z","grant_id":1379,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HE5415/5-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6140,"fairsharing_record_id":757,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:49.881Z","updated_at":"2021-09-30T09:29:13.710Z","grant_id":148,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R44 LM011585-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6128,"fairsharing_record_id":757,"organisation_id":1135,"relation":"funds","created_at":"2021-09-30T09:27:49.417Z","updated_at":"2021-09-30T09:27:49.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":1135,"name":"German chapter of the International League against Epilepsy","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8010,"fairsharing_record_id":757,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:30:22.328Z","updated_at":"2021-09-30T09:30:22.372Z","grant_id":680,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"U24 TR002306","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8879,"fairsharing_record_id":757,"organisation_id":2747,"relation":"funds","created_at":"2022-02-13T18:25:44.840Z","updated_at":"2022-02-13T18:25:44.840Z","grant_id":1285,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","grant":"RG/13/5/30112","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9072,"fairsharing_record_id":757,"organisation_id":2804,"relation":"maintains","created_at":"2022-03-30T10:39:16.368Z","updated_at":"2022-03-30T10:39:16.368Z","grant_id":null,"is_lead":true,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6134,"fairsharing_record_id":757,"organisation_id":1039,"relation":"funds","created_at":"2021-09-30T09:27:49.604Z","updated_at":"2021-09-30T09:29:49.789Z","grant_id":424,"is_lead":false,"saved_state":{"id":1039,"name":"Forums for Integrative Phenomics, NIH","grant":"CA221044-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6133,"fairsharing_record_id":757,"organisation_id":2141,"relation":"funds","created_at":"2021-09-30T09:27:49.574Z","updated_at":"2021-09-30T09:32:05.827Z","grant_id":1467,"is_lead":false,"saved_state":{"id":2141,"name":"NeurOmics","grant":"2012-305121","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6131,"fairsharing_record_id":757,"organisation_id":2804,"relation":"funds","created_at":"2021-09-30T09:27:49.517Z","updated_at":"2021-09-30T09:29:36.170Z","grant_id":320,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","grant":"5R24OD011883","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8391,"fairsharing_record_id":757,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:32:25.306Z","updated_at":"2021-09-30T09:32:25.355Z","grant_id":1612,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG RO 2005/4-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9073,"fairsharing_record_id":757,"organisation_id":2792,"relation":"maintains","created_at":"2022-03-30T10:39:16.369Z","updated_at":"2022-03-30T10:39:16.369Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9283,"fairsharing_record_id":757,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:27.655Z","updated_at":"2022-04-11T12:07:27.671Z","grant_id":1680,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01DH12033","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9362,"fairsharing_record_id":757,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.138Z","updated_at":"2022-04-11T12:07:33.154Z","grant_id":783,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"MAR 10/012","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9368,"fairsharing_record_id":757,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.601Z","updated_at":"2022-04-11T12:07:33.618Z","grant_id":1384,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"BMBF project number 0313911","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"741","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:16:43.216Z","metadata":{"doi":"10.25504/FAIRsharing.amcv1e","name":"HGNC Gene Symbols, Gene Names and IDs","status":"ready","contacts":[{"contact_email":"hgnc@genenames.org"}],"homepage":"https://www.genenames.org/","identifier":741,"description":"The HGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","abbreviation":"HGNC","support_links":[{"url":"http://www.genenames.org/cgi-bin/feedback","type":"Contact form"},{"url":"hgnc@genenames.org","type":"Support email"},{"url":"http://www.genenames.org/help","type":"Help documentation"}],"year_creation":1979,"associated_tools":[{"url":"https://www.genenames.org/tools/multi-symbol-checker/","name":"Multi-symbol checker"}]},"legacy_ids":["bsg-002683","bsg-s002683"],"name":"FAIRsharing record for: HGNC Gene Symbols, Gene Names and IDs","abbreviation":"HGNC","url":"https://fairsharing.org/10.25504/FAIRsharing.amcv1e","doi":"10.25504/FAIRsharing.amcv1e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Gene name","Protein","Pseudogene","Non-coding RNA"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2798,"pubmed_id":295268,"title":"International system for human gene nomenclature (1979) ISGN (1979).","year":1979,"url":"http://doi.org/10.1159/000131404","authors":"Shows TB,Alper CA,Bootsma D,Dorf M,Douglas T,Huisman T,Kit S,Klinger HP,Kozak C,Lalley PA,Lindsley D,McAlpine PJ,McDougall JK,Meera Khan P,Meisler M,Morton NE,Opitz JM,Partridge CW,Payne R,Roderick TH,Rubinstein P,Ruddle FH,Shaw M,Spranger JW,Weiss K","journal":"Cytogenet Cell Genet","doi":"10.1159/000131404","created_at":"2021-09-30T08:27:44.056Z","updated_at":"2021-09-30T08:27:44.056Z"},{"id":2799,"pubmed_id":30304474,"title":"Genenames.org: the HGNC and VGNC resources in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky930","authors":"Braschi B,Denny P,Gray K,Jones T,Seal R,Tweedie S,Yates B,Bruford E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky930","created_at":"2021-09-30T08:27:44.170Z","updated_at":"2021-09-30T11:29:45.045Z"}],"licence_links":[],"grants":[{"id":6101,"fairsharing_record_id":741,"organisation_id":1273,"relation":"maintains","created_at":"2021-09-30T09:27:48.588Z","updated_at":"2021-09-30T09:27:48.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":1273,"name":"HUGO Gene Nomenclature Committee (HGNC), Hinxton, Cambridgeshire, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6100,"fairsharing_record_id":741,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:48.564Z","updated_at":"2021-09-30T09:31:12.550Z","grant_id":1064,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U24HG003345","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6099,"fairsharing_record_id":741,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:48.539Z","updated_at":"2021-09-30T09:32:37.393Z","grant_id":1704,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"208349/Z/17/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"174","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.360Z","metadata":{"doi":"10.25504/FAIRsharing.ht22t4","name":"Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments","status":"ready","contacts":[{"contact_name":"Eric Deutsch","contact_email":"edeutsch@systemsbiology.org","contact_orcid":"0000-0001-8732-0928"}],"homepage":"http://mged.sourceforge.net/misfishie/","identifier":174,"description":"MISFISHIE is the Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments. This specification details the minimum information that should be provided when publishing, making public, or exchanging results from visual interpretation-based tissue gene expression localization experiments such as in situ hybridization, immunohistochemistry, reporter construct genetic experiments (GFP/green fluorescent protein, β-galactosidase), etc. Compliance to this standard is expected to provide researchers at other labs enough information to reproduce the experiment and/or to fully evaluate the data upon which results are based.","abbreviation":"MISFISHIE","support_links":[{"url":"http://mibbi.sf.net/projects/MISFISHIE.shtml","type":"Help documentation"},{"url":"http://scgap.systemsbiology.net/standards/misfishie/","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000171","bsg-s000171"],"name":"FAIRsharing record for: Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments","abbreviation":"MISFISHIE","url":"https://fairsharing.org/10.25504/FAIRsharing.ht22t4","doi":"10.25504/FAIRsharing.ht22t4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MISFISHIE is the Minimum Information Specification For In Situ Hybridization and Immunohistochemistry Experiments. This specification details the minimum information that should be provided when publishing, making public, or exchanging results from visual interpretation-based tissue gene expression localization experiments such as in situ hybridization, immunohistochemistry, reporter construct genetic experiments (GFP/green fluorescent protein, β-galactosidase), etc. Compliance to this standard is expected to provide researchers at other labs enough information to reproduce the experiment and/or to fully evaluate the data upon which results are based.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11577},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11969},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12419}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Evidence","Expression data","Ribonucleic acid","Antibody","Cellular localization","In situ hybridization","Immunohistochemistry","Whole mount tissue","Fluorescence","Intensity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":847,"pubmed_id":18327244,"title":"Minimum information specification for in situ hybridization and immunohistochemistry experiments (MISFISHIE).","year":2008,"url":"http://doi.org/10.1038/nbt1391","authors":"Deutsch EW,Ball CA,Berman JJ,Bova GS,Brazma A,Bumgarner RE,Campbell D,Causton HC,Christiansen JH,Daian F,Dauga D,Davidson DR,Gimenez G,Goo YA,Grimmond S,Henrich T,Herrmann BG,Johnson MH,Korb M,Mills JC,Oudes AJ,Parkinson HE,Pascal LE,Pollet N,Quackenbush J,Ramialison M,Ringwald M,Salgado D,Sansone SA,Sherlock G,Stoeckert CJ Jr,Swedlow J,Taylor RC,Walashek L,Warford A,Wilkinson DG,Zhou Y,Zon LI,Liu AY,True LD","journal":"Nat Biotechnol","doi":"10.1038/nbt1391","created_at":"2021-09-30T08:23:53.446Z","updated_at":"2021-09-30T08:23:53.446Z"},{"id":1681,"pubmed_id":16901227,"title":"Development of the Minimum Information Specification for In Situ Hybridization and Immunohistochemistry Experiments (MISFISHIE).","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.205","authors":"Deutsch EW,Ball CA,Bova GS,Brazma A,Bumgarner RE,Campbell D,Causton HC,Christiansen J,Davidson D,Eichner LJ,Goo YA,Grimmond S,Henrich T,Johnson MH,Korb M,Mills JC,Oudes A,Parkinson HE,Pascal LE,Quackenbush J,Ramialison M,Ringwald M,Sansone SA,Sherlock G,Stoeckert CJ Jr,Swedlow J,Taylor RC,Walashek L,Zhou Y,Liu AY,True LD","journal":"OMICS","doi":"10.1089/omi.2006.10.205","created_at":"2021-09-30T08:25:28.304Z","updated_at":"2021-09-30T08:25:28.304Z"}],"licence_links":[],"grants":[{"id":5214,"fairsharing_record_id":174,"organisation_id":1074,"relation":"maintains","created_at":"2021-09-30T09:27:19.085Z","updated_at":"2021-09-30T09:27:19.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":1074,"name":"Functional Genomics Data Society (FGED); MISFISHIE working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5213,"fairsharing_record_id":174,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:27:19.054Z","updated_at":"2021-09-30T09:27:19.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5215,"fairsharing_record_id":174,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:27:19.127Z","updated_at":"2021-09-30T09:27:19.127Z","grant_id":null,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"175","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:25.000Z","updated_at":"2022-07-20T12:20:08.690Z","metadata":{"doi":"10.25504/FAIRsharing.VrP6sm","name":"FAIR Maturity Indicator Gen2-MI-A1.2","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_A1.2.md","identifier":175,"description":"The FAIR Maturity Indicator Gen2-MI-A1.2 measures if the resolution protocol supports authentication and authorization for access to restricted content.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001370","bsg-s001370"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-A1.2","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.VrP6sm","doi":"10.25504/FAIRsharing.VrP6sm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-A1.2 measures if the resolution protocol supports authentication and authorization for access to restricted content.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13193},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13204},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13224},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13254},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13269},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20172}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1481,"relation":"undefined"}],"grants":[{"id":5217,"fairsharing_record_id":175,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:19.206Z","updated_at":"2021-09-30T09:27:19.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5216,"fairsharing_record_id":175,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:19.168Z","updated_at":"2021-09-30T09:27:19.168Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5218,"fairsharing_record_id":175,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:19.239Z","updated_at":"2021-09-30T09:27:19.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5219,"fairsharing_record_id":175,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:19.262Z","updated_at":"2021-09-30T09:27:19.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"176","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:34.000Z","updated_at":"2022-07-20T11:16:10.478Z","metadata":{"doi":"10.25504/FAIRsharing.lEZbPK","name":"FAIR Maturity Indicator Gen2-MI-A2","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_A2.md","identifier":176,"description":"The FAIR Maturity Indicator Gen2-MI-A2 measures if there is a policy for metadata persistence. Cross-references to data from third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001371","bsg-s001371"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-A2","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.lEZbPK","doi":"10.25504/FAIRsharing.lEZbPK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-A2 measures if there is a policy for metadata persistence. Cross-references to data from third-party’s FAIR data and metadata will naturally degrade over time, and become “stale links”. In such cases, it is important for FAIR providers to continue to provide descriptors of what the data was to assist in the continued interpretation of those third-party data. As per FAIR Principle F3, this metadata remains discoverable, even in the absence of the data, because it contains an explicit reference to the IRI of the data.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13203},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13223},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13253},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13268},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20174}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1482,"relation":"undefined"}],"grants":[{"id":5221,"fairsharing_record_id":176,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:19.312Z","updated_at":"2021-09-30T09:27:19.312Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5220,"fairsharing_record_id":176,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:19.288Z","updated_at":"2021-09-30T09:27:19.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5222,"fairsharing_record_id":176,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:19.337Z","updated_at":"2021-09-30T09:27:19.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5223,"fairsharing_record_id":176,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:19.362Z","updated_at":"2021-09-30T09:27:19.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"177","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:09.702Z","metadata":{"doi":"10.25504/FAIRsharing.qcceez","name":"Ontology of Physics for Biology","status":"ready","contacts":[{"contact_name":"Daniel L. Cook","contact_email":"dcook@u.washington.edu"}],"homepage":"https://sites.google.com/site/semanticsofbiologicalprocesses/projects/the-ontology-of-physics-for-biology-opb","identifier":177,"description":"The Ontology of Physics for Biology is a reference of classical physics as applied to the dynamics of biological systems. This resource provides a reference ontology of physical properties (e.g., pressure, chemical concentration) and principles (e.g., Ohm’s law, Ficke’s law) by which the physical meaning of biosimulation models may be annotated.","abbreviation":"OPB","support_links":[{"url":"maxneal@gmail.com","name":"Max Neal","type":"Support email"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OPB","name":"OPB","portal":"BioPortal"}]},"legacy_ids":["bsg-000044","bsg-s000044"],"name":"FAIRsharing record for: Ontology of Physics for Biology","abbreviation":"OPB","url":"https://fairsharing.org/10.25504/FAIRsharing.qcceez","doi":"10.25504/FAIRsharing.qcceez","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Physics for Biology is a reference of classical physics as applied to the dynamics of biological systems. This resource provides a reference ontology of physical properties (e.g., pressure, chemical concentration) and principles (e.g., Ohm’s law, Ficke’s law) by which the physical meaning of biosimulation models may be annotated.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11141},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11932},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12198}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Physics"],"domains":["Mathematical model","Concentration","Kinetic model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1125,"pubmed_id":22216106,"title":"Physical properties of biological entities: an introduction to the ontology of physics for biology.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0028708","authors":"Cook DL,Bookstein FL,Gennari JH","journal":"PLoS One","doi":"10.1371/journal.pone.0028708","created_at":"2021-09-30T08:24:24.650Z","updated_at":"2021-09-30T08:24:24.650Z"},{"id":2645,"pubmed_id":null,"title":"Bridging Biological Ontologies and Biosimulation: The Ontology of Physics for Biology","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656075/","authors":"Cook DL, Mejino JLV, Neal ML, Gennari JH.","journal":"AMIA Annual Symposium Proceedings","doi":null,"created_at":"2021-09-30T08:27:24.831Z","updated_at":"2021-09-30T11:28:37.022Z"},{"id":2646,"pubmed_id":24295137,"title":"Ontology of physics for biology: representing physical dependencies as a basis for biological processes.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-41","authors":"Cook DL,Neal ML,Bookstein FL,Gennari JH","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-41","created_at":"2021-09-30T08:27:24.938Z","updated_at":"2021-09-30T08:27:24.938Z"}],"licence_links":[],"grants":[{"id":5226,"fairsharing_record_id":177,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:19.438Z","updated_at":"2021-09-30T09:27:19.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5228,"fairsharing_record_id":177,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:19.531Z","updated_at":"2021-09-30T09:27:19.531Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5227,"fairsharing_record_id":177,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:19.498Z","updated_at":"2021-09-30T09:31:21.500Z","grant_id":1133,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 HL087706-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5225,"fairsharing_record_id":177,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:19.412Z","updated_at":"2021-09-30T09:28:56.983Z","grant_id":27,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM094503","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"212","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:04.000Z","updated_at":"2022-07-20T12:09:33.316Z","metadata":{"doi":"10.25504/FAIRsharing.5Xy1dJ","name":"FAIR Maturity Indicator Gen2-MI-F3","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F3.md","identifier":212,"description":"The FAIR Maturity Indicator Gen2-MI-F3 measures whether the metadata document contains both its own GUID (which may be different from its address), and whether it also explicitly contains the GUID for the data resource it describes.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001376","bsg-s001376"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F3","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.5Xy1dJ","doi":"10.25504/FAIRsharing.5Xy1dJ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F3 measures whether the metadata document contains both its own GUID (which may be different from its address), and whether it also explicitly contains the GUID for the data resource it describes.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13166},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13209},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13227},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13257},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13272},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20170}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1487,"relation":"undefined"}],"grants":[{"id":5290,"fairsharing_record_id":212,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:21.902Z","updated_at":"2021-09-30T09:27:21.902Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5287,"fairsharing_record_id":212,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:21.789Z","updated_at":"2021-09-30T09:27:21.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5288,"fairsharing_record_id":212,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:21.825Z","updated_at":"2021-09-30T09:27:21.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5289,"fairsharing_record_id":212,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:21.863Z","updated_at":"2021-09-30T09:27:21.863Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"213","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:19.995Z","metadata":{"doi":"10.25504/FAIRsharing.wp0134","name":"Clusters of Orthologous Groups (COG) Analysis Ontology","status":"ready","contacts":[{"contact_name":"Asiyah Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"http://sourceforge.net/projects/cao/","identifier":213,"description":"CAO ontology is designed for supporting the COG enrichment study by using Fisher's exact test. It is used for the ontology based application for statistical analysis on COG db.","abbreviation":"CAO","support_links":[{"url":"http://www.hegroup.org/docs/OntoCOG_ICBO-2011_Proceeding.pdf","type":"Help documentation"}],"year_creation":1996,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CAO","name":"CAO","portal":"BioPortal"}]},"legacy_ids":["bsg-002712","bsg-s002712"],"name":"FAIRsharing record for: Clusters of Orthologous Groups (COG) Analysis Ontology","abbreviation":"CAO","url":"https://fairsharing.org/10.25504/FAIRsharing.wp0134","doi":"10.25504/FAIRsharing.wp0134","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CAO ontology is designed for supporting the COG enrichment study by using Fisher's exact test. It is used for the ontology based application for statistical analysis on COG db.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Phylogenetics","Life Science"],"domains":["Annotation","Protein","Transcript","Gene","Amino acid sequence","Orthologous"],"taxonomies":["Archaea","Bacteria","Fungi","Methanocaldococcus jannaschii","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":434,"pubmed_id":9381173,"title":"A genomic perspective on protein families.","year":1997,"url":"http://doi.org/10.1126/science.278.5338.631","authors":"Tatusov RL., Koonin EV., Lipman DJ.,","journal":"Science","doi":"10.1126/science.278.5338.631","created_at":"2021-09-30T08:23:07.176Z","updated_at":"2021-09-30T08:23:07.176Z"}],"licence_links":[],"grants":[{"id":5291,"fairsharing_record_id":213,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:21.938Z","updated_at":"2021-09-30T09:27:21.938Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5292,"fairsharing_record_id":213,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:21.980Z","updated_at":"2021-09-30T09:27:21.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"214","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:09.000Z","updated_at":"2022-07-20T12:41:11.471Z","metadata":{"doi":"10.25504/FAIRsharing.x1f1l4","name":"FAIR Maturity Indicator Gen2-MI-F4","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F4.md","identifier":214,"description":"The FAIR Maturity Indicator Gen2-MI-F4 measures the degree to which the digital resource can be found using web-based search engines.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001377","bsg-s001377"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F4","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.x1f1l4","doi":"10.25504/FAIRsharing.x1f1l4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F4 measures the degree to which the digital resource can be found using web-based search engines.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13207},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13226},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13256},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13271},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20171}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1488,"relation":"undefined"}],"grants":[{"id":5293,"fairsharing_record_id":214,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:22.017Z","updated_at":"2021-09-30T09:27:22.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5294,"fairsharing_record_id":214,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:22.050Z","updated_at":"2021-09-30T09:27:22.050Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5295,"fairsharing_record_id":214,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:22.074Z","updated_at":"2021-09-30T09:27:22.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5296,"fairsharing_record_id":214,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:22.099Z","updated_at":"2021-09-30T09:27:22.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"215","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.961Z","metadata":{"doi":"10.25504/FAIRsharing.qeb7hb","name":"Pharmacogenomic Relationships Ontology","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"adrien.coulet@loria.fr","contact_orcid":"0000-0002-1466-062X"}],"homepage":"http://bioportal.bioontology.org/ontologies/1550","identifier":215,"description":"The PHArmacogenomic RElationships Ontology (or PHARE) proposes concepts and roles to represent relationships of pharmacogenomics interest.","abbreviation":"PHARE","year_creation":2010},"legacy_ids":["bsg-002697","bsg-s002697"],"name":"FAIRsharing record for: Pharmacogenomic Relationships Ontology","abbreviation":"PHARE","url":"https://fairsharing.org/10.25504/FAIRsharing.qeb7hb","doi":"10.25504/FAIRsharing.qeb7hb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PHArmacogenomic RElationships Ontology (or PHARE) proposes concepts and roles to represent relationships of pharmacogenomics interest.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11722},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12455}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacology","Pharmacogenomics","Biomedical Science"],"domains":["Chemical entity","Molecular interaction","Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1762,"pubmed_id":21624156,"title":"Integration and publication of heterogeneous text-mined relationships on the Semantic Web.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-S2-S10","authors":"Coulet A,Garten Y,Dumontier M,Altman RB,Musen MA,Shah NH","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-S2-S10","created_at":"2021-09-30T08:25:37.705Z","updated_at":"2021-09-30T08:25:37.705Z"}],"licence_links":[],"grants":[{"id":5297,"fairsharing_record_id":215,"organisation_id":2981,"relation":"maintains","created_at":"2021-09-30T09:27:22.130Z","updated_at":"2021-09-30T09:27:22.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5298,"fairsharing_record_id":215,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:22.171Z","updated_at":"2021-09-30T09:30:52.494Z","grant_id":913,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5301,"fairsharing_record_id":215,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:22.291Z","updated_at":"2021-09-30T09:27:22.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5299,"fairsharing_record_id":215,"organisation_id":2315,"relation":"funds","created_at":"2021-09-30T09:27:22.213Z","updated_at":"2021-09-30T09:30:54.957Z","grant_id":934,"is_lead":false,"saved_state":{"id":2315,"name":"PharmGKB","grant":"GM61374","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5300,"fairsharing_record_id":215,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:22.263Z","updated_at":"2021-09-30T09:29:04.760Z","grant_id":83,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"CNS-0619926","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"216","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:06:35.054Z","metadata":{"doi":"10.25504/FAIRsharing.rhhrtx","name":"Bone Dysplasia Ontology","status":"uncertain","contacts":[{"contact_name":"Tudor Groza","contact_email":"tudor.groza@uq.edu.au","contact_orcid":"0000-0003-2267-8333"}],"homepage":"http://bioportal.bioontology.org/ontologies/1613","citations":[],"identifier":216,"description":"The Bone Dysplasia ontology provides a comprehensive and formal representation of the different domain concepts involved in documenting the full complexity of the skeletal dysplasia domain. It captures and combines the genetic features that discriminate the bone dysplasias with the multitude of phenotypic characteristics manifested by patients and required to be taken into account in order to support the diagnosis process.","abbreviation":"BDO","year_creation":2011},"legacy_ids":["bsg-002719","bsg-s002719"],"name":"FAIRsharing record for: Bone Dysplasia Ontology","abbreviation":"BDO","url":"https://fairsharing.org/10.25504/FAIRsharing.rhhrtx","doi":"10.25504/FAIRsharing.rhhrtx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bone Dysplasia ontology provides a comprehensive and formal representation of the different domain concepts involved in documenting the full complexity of the skeletal dysplasia domain. It captures and combines the genetic features that discriminate the bone dysplasias with the multitude of phenotypic characteristics manifested by patients and required to be taken into account in order to support the diagnosis process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Bone disease","Mutation analysis","Phenotype","Bone","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1774,"pubmed_id":22449239,"title":"The Bone Dysplasia Ontology: integrating genotype and phenotype information in the skeletal dysplasia domain.","year":2012,"url":"http://doi.org/10.1186/1471-2105-13-50","authors":"Groza T,Hunter J,Zankl A","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-13-50","created_at":"2021-09-30T08:25:39.088Z","updated_at":"2021-09-30T08:25:39.088Z"}],"licence_links":[],"grants":[{"id":5302,"fairsharing_record_id":216,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:27:22.321Z","updated_at":"2021-09-30T09:27:22.321Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5303,"fairsharing_record_id":216,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:27:22.359Z","updated_at":"2021-09-30T09:31:37.260Z","grant_id":1252,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"SKELETOME--LP100100156","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5304,"fairsharing_record_id":216,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:27:22.405Z","updated_at":"2021-09-30T09:27:22.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"168","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.758Z","metadata":{"doi":"10.25504/FAIRsharing.xs6t67","name":"Fungal Gross Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Diane Inglis","contact_email":"dinglis@stanford.edu","contact_orcid":"0000-0003-3166-4638"}],"homepage":"https://github.com/obophenotype/fungal-anatomy-ontology","identifier":168,"description":"A structured controlled vocabulary for the anatomy of fungi.","abbreviation":"FAO","support_links":[{"url":"sgd-helpdesk@lists.stanford.edu","name":"Saccharomyces Genome Database","type":"Support email"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FAO","name":"FAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fao.html","name":"fao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002605","bsg-s002605"],"name":"FAIRsharing record for: Fungal Gross Anatomy Ontology","abbreviation":"FAO","url":"https://fairsharing.org/10.25504/FAIRsharing.xs6t67","doi":"10.25504/FAIRsharing.xs6t67","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the anatomy of fungi.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14554}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Microbiology"],"domains":[],"taxonomies":["Fungi","Saccharomyces"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"169","type":"fairsharing_records","attributes":{"created_at":"2017-02-23T11:48:15.000Z","updated_at":"2023-02-15T10:32:24.329Z","metadata":{"doi":"10.25504/FAIRsharing.nrx5kk","name":"Infrastructure for Spatial Information in Europe Data Specifications","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ENV-INSPIRE@ec.europa.eu"}],"homepage":"https://inspire.ec.europa.eu/data-specifications/2892","citations":[],"identifier":169,"description":"The INSPIRE Directive aims to create a European Union spatial data infrastructure for the purposes of EU environmental policies and policies or activities which may have an impact on the environment. This European Spatial Data Infrastructure will enable the sharing of environmental spatial information among public sector organisations, facilitate public access to spatial information across Europe and assist in policy-making across boundaries.","abbreviation":"INSPIRE","support_links":[{"url":"http://inspire.ec.europa.eu/portfolio/training-library","type":"Training documentation"}],"year_creation":2007},"legacy_ids":["bsg-000691","bsg-s000691"],"name":"FAIRsharing record for: Infrastructure for Spatial Information in Europe Data Specifications","abbreviation":"INSPIRE","url":"https://fairsharing.org/10.25504/FAIRsharing.nrx5kk","doi":"10.25504/FAIRsharing.nrx5kk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The INSPIRE Directive aims to create a European Union spatial data infrastructure for the purposes of EU environmental policies and policies or activities which may have an impact on the environment. This European Spatial Data Infrastructure will enable the sharing of environmental spatial information among public sector organisations, facilitate public access to spatial information across Europe and assist in policy-making across boundaries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Soil Science","Environmental Science","Geology","Transportation Planning","Geography","Energy Engineering","Health Science","Hydrography","Atmospheric Science","Agriculture","Mineralogy","Oceanography"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":5206,"fairsharing_record_id":169,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:18.880Z","updated_at":"2021-09-30T09:27:18.880Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"170","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:05.005Z","metadata":{"doi":"10.25504/FAIRsharing.p9xm4v","name":"ABA Adult Mouse Brain","status":"ready","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmu.edu"}],"homepage":"http://mouse.brain-map.org","identifier":170,"description":"ABA Adult Mouse Brain is a standardised collection of the expression patterns of thousands of adult brain genes. This resource can be used for a vast array of research on brain organisation and function. There are lighter versions of this ontology that are customised for the NeuroMorpho.Org brain regions.","abbreviation":"ABA","support_links":[{"url":"http://allins.convio.net/site/PageServer?pagename=send_message_ai","name":"contact form","type":"Contact form"}],"year_creation":2006},"legacy_ids":["bsg-002606","bsg-s002606"],"name":"FAIRsharing record for: ABA Adult Mouse Brain","abbreviation":"ABA","url":"https://fairsharing.org/10.25504/FAIRsharing.p9xm4v","doi":"10.25504/FAIRsharing.p9xm4v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ABA Adult Mouse Brain is a standardised collection of the expression patterns of thousands of adult brain genes. This resource can be used for a vast array of research on brain organisation and function. There are lighter versions of this ontology that are customised for the NeuroMorpho.Org brain regions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neuroscience"],"domains":["Gene expression","Brain","Brain imaging"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2427,"pubmed_id":17151600,"title":"Genome-wide atlas of gene expression in the adult mouse brain.","year":2006,"url":"http://doi.org/10.1038/nature05453","authors":"Lein ES,Hawrylycz MJ,Ao N,Ayres M,Bensinger A,Bernard A,Boe AF,Boguski MS,Brockway KS,Byrnes EJ,Chen L,Chen L,Chen TM,Chin MC,Chong J,Crook BE,Czaplinska A,Dang CN,Datta S,Dee NR,Desaki AL,Desta T,Diep E,Dolbeare TA,Donelan MJ,Dong HW,Dougherty JG,Duncan BJ,Ebbert AJ,Eichele G,Estin LK,Faber C,Facer BA,Fields R,Fischer SR,Fliss TP,Frensley C,Gates SN,Glattfelder KJ,Halverson KR,Hart MR,Hohmann JG,Howell MP,Jeung DP,Johnson RA,Karr PT,Kawal R,Kidney JM,Knapik RH,Kuan CL,Lake JH,Laramee AR,Larsen KD,Lau C,Lemon TA,Liang AJ,Liu Y,Luong LT,Michaels J,Morgan JJ,Morgan RJ,Mortrud MT,Mosqueda NF,Ng LL,Ng R,Orta GJ,Overly CC,Pak TH,Parry SE,Pathak SD,Pearson OC,Puchalski RB,Riley ZL,Rockett HR,Rowland SA,Royall JJ,Ruiz MJ,Sarno NR,Schaffnit K,Shapovalova NV,Sivisay T,Slaughterbeck CR,Smith SC,Smith KA,Smith BI,Sodt AJ,Stewart NN,Stumpf KR,Sunkin SM,Sutram M,Tam A,Teemer CD,Thaller C,Thompson CL,Varnam LR,Visel A,Whitlock RM,Wohnoutka PE,Wolkey CK,Wong VY,Wood M,Yaylaoglu MB,Young RC,Youngstrom BL,Yuan XF,Zhang B,Zwingman TA,Jones AR","journal":"Nature","doi":"10.1038/nature05453","created_at":"2021-09-30T08:26:57.828Z","updated_at":"2021-09-30T08:26:57.828Z"}],"licence_links":[],"grants":[{"id":5207,"fairsharing_record_id":170,"organisation_id":59,"relation":"maintains","created_at":"2021-09-30T09:27:18.904Z","updated_at":"2021-09-30T09:27:18.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":59,"name":"Allen Brain Atlas Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"171","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:38:31.888Z","metadata":{"doi":"10.25504/FAIRsharing.qdjc1z","name":"Pharmacovigilance Ontology","status":"deprecated","contacts":[{"contact_name":"Jun (Luke) Huan","contact_email":"jhuan@ittc.ku.edu","contact_orcid":"0000-0003-4929-2617"}],"homepage":"http://bioportal.bioontology.org/ontologies/1567","citations":[],"identifier":171,"description":"The pharmacovigilance ontology connects known facts on drugs, disease, ADEs, and their molecular mechanisms.","abbreviation":"PVONTO","support_links":[{"url":"http://www.ittc.ku.edu/~jhuan/","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PVONTO","name":"PVONTO","portal":"BioPortal"}],"deprecation_date":"2024-05-06","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002701","bsg-s002701"],"name":"FAIRsharing record for: Pharmacovigilance Ontology","abbreviation":"PVONTO","url":"https://fairsharing.org/10.25504/FAIRsharing.qdjc1z","doi":"10.25504/FAIRsharing.qdjc1z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The pharmacovigilance ontology connects known facts on drugs, disease, ADEs, and their molecular mechanisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Molecular interaction","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5210,"fairsharing_record_id":171,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:18.979Z","updated_at":"2021-09-30T09:27:18.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9165,"fairsharing_record_id":171,"organisation_id":1622,"relation":"maintains","created_at":"2022-04-11T12:07:18.741Z","updated_at":"2022-04-11T12:07:18.741Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"172","type":"fairsharing_records","attributes":{"created_at":"2021-01-04T13:13:00.000Z","updated_at":"2022-09-28T15:03:03.071Z","metadata":{"doi":"10.25504/FAIRsharing.fyiMub","name":"Electrical engineering and Electro-energetics vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/BJW/en/","citations":[],"identifier":172,"description":"Terminology resource derived from a controlled vocabulary used for indexing bibliographical records for the PASCAL database of Inist (1972-2015, http://pascal-francis.inist.fr/), in the fields of Electrical engineering and Electro-energetics. It is aligned with wikidata. This resource contains 6630 entries grouped into 34 collections.","abbreviation":null,"year_creation":2020},"legacy_ids":["bsg-001557","bsg-s001557"],"name":"FAIRsharing record for: Electrical engineering and Electro-energetics vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fyiMub","doi":"10.25504/FAIRsharing.fyiMub","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology resource derived from a controlled vocabulary used for indexing bibliographical records for the PASCAL database of Inist (1972-2015, http://pascal-francis.inist.fr/), in the fields of Electrical engineering and Electro-energetics. It is aligned with wikidata. This resource contains 6630 entries grouped into 34 collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Energy Engineering","Electrical Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Electro-energetics"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":259,"relation":"undefined"}],"grants":[{"id":5211,"fairsharing_record_id":172,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:19.003Z","updated_at":"2021-09-30T09:27:19.003Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5212,"fairsharing_record_id":172,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:19.030Z","updated_at":"2021-09-30T09:27:19.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"173","type":"fairsharing_records","attributes":{"created_at":"2020-12-18T19:24:10.000Z","updated_at":"2023-03-14T18:04:25.150Z","metadata":{"doi":"10.25504/FAIRsharing.LKgRmR","name":"Genomedata","status":"ready","contacts":[{"contact_name":"Michael Hoffman","contact_email":"genomedata-l@listserv.utoronto.ca","contact_orcid":"0000-0002-4517-1562"}],"homepage":"https://genomedata.hoffmanlab.org/","citations":[{"doi":"10.1093/bioinformatics/btq164","pubmed_id":20435580,"publication_id":3107}],"identifier":173,"description":"Genomedata is a format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. We have also developed utilities to load data into this format. A reference implementation in Python and C components is available here under the GNU General Public License.","abbreviation":"Genomedata","year_creation":2009},"legacy_ids":["bsg-001569","bsg-s001569"],"name":"FAIRsharing record for: Genomedata","abbreviation":"Genomedata","url":"https://fairsharing.org/10.25504/FAIRsharing.LKgRmR","doi":"10.25504/FAIRsharing.LKgRmR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genomedata is a format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. We have also developed utilities to load data into this format. A reference implementation in Python and C components is available here under the GNU General Public License.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Genome","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":3107,"pubmed_id":20435580,"title":"The Genomedata format for storing large-scale functional genomics data.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq164","authors":"Hoffman MM,Buske OJ,Noble WS","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq164","created_at":"2021-09-30T08:28:22.742Z","updated_at":"2021-09-30T08:28:22.742Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":119,"relation":"undefined"}],"grants":[{"id":10415,"fairsharing_record_id":173,"organisation_id":714,"relation":"undefined","created_at":"2023-03-14T18:03:25.009Z","updated_at":"2023-03-14T18:03:25.009Z","grant_id":null,"is_lead":false,"saved_state":{"id":714,"name":"Department of Genome Sciences, University of Washington","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"178","type":"fairsharing_records","attributes":{"created_at":"2016-01-21T09:00:51.000Z","updated_at":"2022-07-20T12:57:55.507Z","metadata":{"doi":"10.25504/FAIRsharing.kbz5jh","name":"Mathematical Modelling Ontology","status":"ready","contacts":[{"contact_name":"Nicolas Le Novere","contact_email":"n.lenovere@gmail.com","contact_orcid":"0000-0002-6309-7327"}],"homepage":"http://co.mbine.org/standards/mamo","identifier":178,"description":"Classification of the types of mathematical models used mostly in the life sciences, the types of variables, the types of readout and other relevant features.","abbreviation":"MAMO","support_links":[{"url":"https://sourceforge.net/p/mamo-ontology/mailman/mamo-ontology-discuss/","name":"Discussion Mailing List","type":"Mailing list"},{"url":"https://sourceforge.net/p/mamo-ontology/wiki/Home/","name":"Wiki Pages","type":"Help documentation"},{"url":"https://sourceforge.net/projects/mamo-ontology/","name":"SourceForge Repository","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MAMO","name":"MAMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mamo.html","name":"mamo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000636","bsg-s000636"],"name":"FAIRsharing record for: Mathematical Modelling Ontology","abbreviation":"MAMO","url":"https://fairsharing.org/10.25504/FAIRsharing.kbz5jh","doi":"10.25504/FAIRsharing.kbz5jh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Classification of the types of mathematical models used mostly in the life sciences, the types of variables, the types of readout and other relevant features.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12100},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12231},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16921}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Mathematics","Computational Biology","Systems Biology"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":2403,"relation":"undefined"}],"grants":[{"id":5229,"fairsharing_record_id":178,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:19.554Z","updated_at":"2021-09-30T09:27:19.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"179","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:47:14.185Z","metadata":{"doi":"10.25504/FAIRsharing.175hsz","name":"General Formal Ontology","status":"ready","contacts":[{"contact_name":"Heinrich Herre","contact_email":"heinrich.herre@imise.uni-leipzig.de"}],"homepage":"https://www.onto-med.de/ontologies/gfo/","identifier":179,"description":"The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas.","abbreviation":"GFO","support_links":[{"url":"gfo-users@nongnu.org","name":"Users Mailing List","type":"Mailing list"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GFO","name":"GFO","portal":"BioPortal"}]},"legacy_ids":["bsg-002657","bsg-s002657"],"name":"FAIRsharing record for: General Formal Ontology","abbreviation":"GFO","url":"https://fairsharing.org/10.25504/FAIRsharing.175hsz","doi":"10.25504/FAIRsharing.175hsz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The General Formal Ontology is a top-level ontology for conceptual modeling, which is being constantly further developed by Onto-Med. It includes elaborations of categories like objects, processes, time and space, properties, relations, roles, functions, facts, and situations. Moreover, we are working on an integration with the notion of levels of reality in order to more appropriately capture entities in the material, mental, and social areas.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5231,"fairsharing_record_id":179,"organisation_id":3079,"relation":"maintains","created_at":"2021-09-30T09:27:19.619Z","updated_at":"2021-09-30T09:27:19.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":3079,"name":"University of Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5230,"fairsharing_record_id":179,"organisation_id":2250,"relation":"maintains","created_at":"2021-09-30T09:27:19.588Z","updated_at":"2021-09-30T09:27:19.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2250,"name":"Onto-Med Research Group, Universitat Leipzig, Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"180","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.441Z","metadata":{"doi":"10.25504/FAIRsharing.my19zk","name":"Minimum Information About a RNAi Experiment","status":"ready","contacts":[{"contact_name":"Peter Ghazal","contact_email":"p.ghazal@ed.ac.uk"}],"homepage":"http://miare.sourceforge.net","identifier":180,"description":"Minimum Information About an RNAi Experiment (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","abbreviation":"MIARE","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/miare-announce","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIARE.shtml","type":"Help documentation"},{"url":"http://miare.sourceforge.net/ChecklistV080","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000186","bsg-s000186"],"name":"FAIRsharing record for: Minimum Information About a RNAi Experiment","abbreviation":"MIARE","url":"https://fairsharing.org/10.25504/FAIRsharing.my19zk","doi":"10.25504/FAIRsharing.my19zk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimum Information About an RNAi Experiment (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11165},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11595},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12004}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Annotation","Gene expression","Regulation of gene expression","RNA interference","Assay","Small interfering RNA","Gene","Short Hairpin RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1524,"pubmed_id":17716236,"title":"Increasing the robustness and validity of RNAi screens.","year":2007,"url":"http://doi.org/10.2217/14622416.8.8.1037","authors":"Haney SA","journal":"Pharmacogenomics","doi":"10.2217/14622416.8.8.1037","created_at":"2021-09-30T08:25:10.629Z","updated_at":"2021-09-30T08:25:10.629Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":122,"relation":"undefined"}],"grants":[{"id":5232,"fairsharing_record_id":180,"organisation_id":1848,"relation":"maintains","created_at":"2021-09-30T09:27:19.659Z","updated_at":"2021-09-30T09:27:19.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":1848,"name":"Minimum Information About an RNAi Experiment (MIARE) informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"181","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:30.606Z","metadata":{"doi":"10.25504/FAIRsharing.xx2wv5","name":"Pharmacogenomics Ontology","status":"ready","contacts":[{"contact_name":"Teri E. Klein","contact_email":"teri.klein@stanford.edu"}],"homepage":"https://code.google.com/p/pharmgkb-owl/","identifier":181,"description":"The PharmGKB Ontology imports genetic sequence data, collected in relational format, into the OWL, and aims to automate the process of updating the links between the ontology and data acquisition when the ontology changes. They have linked PharmGKB with data acquisition from a relational model of genetic sequence information.","abbreviation":"PharmGKB-owl","support_links":[{"url":"feedback@pharmgkb.org","type":"Support email"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHARMGKB","name":"PHARMGKB","portal":"BioPortal"}]},"legacy_ids":["bsg-002745","bsg-s002745"],"name":"FAIRsharing record for: Pharmacogenomics Ontology","abbreviation":"PharmGKB-owl","url":"https://fairsharing.org/10.25504/FAIRsharing.xx2wv5","doi":"10.25504/FAIRsharing.xx2wv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PharmGKB Ontology imports genetic sequence data, collected in relational format, into the OWL, and aims to automate the process of updating the links between the ontology and data acquisition when the ontology changes. They have linked PharmGKB with data acquisition from a relational model of genetic sequence information.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12466}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacogenomics","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1778,"pubmed_id":16100408,"title":"PharmGKB: the pharmacogenetics and pharmacogenomics knowledge base.","year":2005,"url":"http://doi.org/10.1385/1-59259-957-5:179","authors":"Thorn CF,Klein TE,Altman RB","journal":"Methods Mol Biol","doi":"10.1385/1-59259-957-5:179","created_at":"2021-09-30T08:25:39.587Z","updated_at":"2021-09-30T08:25:39.587Z"}],"licence_links":[],"grants":[{"id":5233,"fairsharing_record_id":181,"organisation_id":2316,"relation":"maintains","created_at":"2021-09-30T09:27:19.700Z","updated_at":"2021-09-30T09:27:19.700Z","grant_id":null,"is_lead":false,"saved_state":{"id":2316,"name":"PharmGKB OWL Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"182","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-01-28T16:50:22.401Z","metadata":{"doi":"10.25504/FAIRsharing.18je7e","name":"Ontology for Newborn Screening Follow-up and Translational Research","status":"deprecated","contacts":[{"contact_name":"Snezana Nikolic","contact_email":"snez.sn@gmail.com"},{"contact_name":"Rani H. Singh","contact_email":"rsingh@emory.edu","contact_orcid":null}],"homepage":"http://code.google.com/p/onstr/","citations":[],"identifier":182,"description":"Ontology for Newborn Screening Follow-up and Translational Research (ONSTR) is an application ontology for representing data entities, practices and knowledge in the domain of newborn screening and short-­‐ and long-­‐term follow-­‐up of patients diagnosed with inheritable and congenital disorders. No project homepage could be found, and the resource has not been updated recently. Please get in touch if you have information about this resource.","abbreviation":"ONSTR","support_links":[{"url":"http://ceur-ws.org/Vol-1060/icbo2013_submission_47.pdf","name":"Submission Manuscript","type":"Other"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONSTR","name":"ONSTR","portal":"BioPortal"}],"deprecation_date":"2022-01-24","deprecation_reason":"This resource has not been updated recently, and we have not been able to contact the developers. Please get in touch if you have information on this resource."},"legacy_ids":["bsg-000954","bsg-s000954"],"name":"FAIRsharing record for: Ontology for Newborn Screening Follow-up and Translational Research","abbreviation":"ONSTR","url":"https://fairsharing.org/10.25504/FAIRsharing.18je7e","doi":"10.25504/FAIRsharing.18je7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Newborn Screening Follow-up and Translational Research (ONSTR) is an application ontology for representing data entities, practices and knowledge in the domain of newborn screening and short-­‐ and long-­‐term follow-­‐up of patients diagnosed with inheritable and congenital disorders. No project homepage could be found, and the resource has not been updated recently. Please get in touch if you have information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Pediatrics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8720,"fairsharing_record_id":182,"organisation_id":857,"relation":"maintains","created_at":"2022-01-10T14:10:12.998Z","updated_at":"2022-01-10T14:10:12.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":857,"name":"Emory University, Atlanta, Georgia, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"202","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:12:09.115Z","metadata":{"doi":"10.25504/FAIRsharing.m283c","name":"Uniprot Core Ontology","status":"ready","contacts":[],"homepage":"http://purl.uniprot.org/core/","citations":[],"identifier":202,"description":"The UniProt core is an OWL ontology that describes the predicates, classes and concepts used to model the UniProt data in RDF.","abbreviation":"core","support_links":[{"url":"http://www.uniprot.org/contact","type":"Contact form"},{"url":"help@uniprot.org","type":"Support email"},{"url":"http://www.uniprot.org/help/","type":"Help documentation"}]},"legacy_ids":["bsg-002767","bsg-s002767"],"name":"FAIRsharing record for: Uniprot Core Ontology","abbreviation":"core","url":"https://fairsharing.org/10.25504/FAIRsharing.m283c","doi":"10.25504/FAIRsharing.m283c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniProt core is an OWL ontology that describes the predicates, classes and concepts used to model the UniProt data in RDF.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Annotation","Protein"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":944,"relation":"undefined"}],"grants":[{"id":5264,"fairsharing_record_id":202,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:27:20.896Z","updated_at":"2021-09-30T09:27:20.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5265,"fairsharing_record_id":202,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:27:20.954Z","updated_at":"2021-09-30T09:27:20.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"203","type":"fairsharing_records","attributes":{"created_at":"2015-09-28T10:20:17.000Z","updated_at":"2022-07-20T12:47:14.325Z","metadata":{"doi":"10.25504/FAIRsharing.4ehmy9","name":"Observations and Measurements","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"simon.cox@csiro.au","contact_orcid":"0000-0002-3884-3420"}],"homepage":"http://www.opengeospatial.org/standards/om","citations":[],"identifier":203,"description":"A conceptual schema for observations, and for features involved in sampling when making observations. These provide models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities. Observations commonly involve sampling of an ultimate feature of interest. This International Standard defines a common set of sampling feature types classified primarily by topological dimension, as well as samples for ex-situ observations. The schema includes relationships between sampling features (sub-sampling, derived samples). This standard describes a UML model for observations and sampling features, which is integrated into the ISO TC 211 Harmonized Model.","abbreviation":"O\u0026M","support_links":[{"url":"http://www.opengeospatial.org/contacts","type":"Contact form"},{"url":"https://www.seegrid.csiro.au/wiki/AppSchemas/ObservationsAndSampling","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"http://ogc.standardstracker.org","name":"Standards Tracker"}]},"legacy_ids":["bsg-000619","bsg-s000619"],"name":"FAIRsharing record for: Observations and Measurements","abbreviation":"O\u0026M","url":"https://fairsharing.org/10.25504/FAIRsharing.4ehmy9","doi":"10.25504/FAIRsharing.4ehmy9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A conceptual schema for observations, and for features involved in sampling when making observations. These provide models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities. Observations commonly involve sampling of an ultimate feature of interest. This International Standard defines a common set of sampling feature types classified primarily by topological dimension, as well as samples for ex-situ observations. The schema includes relationships between sampling features (sub-sampling, derived samples). This standard describes a UML model for observations and sampling features, which is integrated into the ISO TC 211 Harmonized Model.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Engineering Science","Natural Science","Earth Science"],"domains":["Resource metadata","Experimental measurement","Observation design","Measurement"],"taxonomies":["All"],"user_defined_tags":["Defence and intelligence","Forecasting","Natural Resources, Earth and Environment","Open Science"],"countries":["Worldwide"],"publications":[{"id":800,"pubmed_id":null,"title":"ISO 19156:2011 Geographic information -- Observations and measurements","year":2011,"url":"https://www.iso.org/obp/ui/#iso:std:iso:19156:ed-1:v1:en","authors":"No authors listed","journal":"International Standard","doi":null,"created_at":"2021-09-30T08:23:48.201Z","updated_at":"2021-09-30T11:28:31.077Z"},{"id":2486,"pubmed_id":null,"title":"Topic 20: Observations and measurements","year":2010,"url":"https://portal.ogc.org/files/?artifact_id=41579","authors":"Simon Cox","journal":"OGC Abstract Specification","doi":null,"created_at":"2021-09-30T08:27:04.819Z","updated_at":"2021-09-30T11:28:35.980Z"}],"licence_links":[],"grants":[{"id":5266,"fairsharing_record_id":203,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:20.996Z","updated_at":"2021-09-30T09:27:20.996Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5267,"fairsharing_record_id":203,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:21.039Z","updated_at":"2021-09-30T09:27:21.039Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5268,"fairsharing_record_id":203,"organisation_id":624,"relation":"undefined","created_at":"2021-09-30T09:27:21.075Z","updated_at":"2021-09-30T09:27:21.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":624,"name":"CSIRO Land and Water, Highett, Australia","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"204","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-26T09:18:58.930Z","metadata":{"doi":"10.25504/FAIRsharing.sdjk2h","name":"Metathesaurus Current Procedural Terminology","status":"ready","contacts":[{"contact_name":"Customer Service","contact_email":"custserv@nlm.nih.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/CPT/metarepresentation.html","citations":[],"identifier":204,"description":"The Current Procedural Terminology (CPT), a product of the American Medical Association (AMA), are a list of descriptive terms and identifying numeric codes for medical services and procedures that are provided by physicians and health care professionals. CPT codes are used by healthcare professionals for billing of medical services and procedures to public and private health insurance programs.\n\n","abbreviation":"CPT","support_links":[{"url":"https://www.ama-assn.org/topics/cpt-codes","name":"CPT Codes","type":"Help documentation"},{"url":"https://www.ama-assn.org/amaone/cpt-current-procedural-terminology","name":"CPT® (Current Procedural Terminology)","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-002673","bsg-s002673"],"name":"FAIRsharing record for: Metathesaurus Current Procedural Terminology","abbreviation":"CPT","url":"https://fairsharing.org/10.25504/FAIRsharing.sdjk2h","doi":"10.25504/FAIRsharing.sdjk2h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Current Procedural Terminology (CPT), a product of the American Medical Association (AMA), are a list of descriptive terms and identifying numeric codes for medical services and procedures that are provided by physicians and health care professionals. CPT codes are used by healthcare professionals for billing of medical services and procedures to public and private health insurance programs.\n\n","linked_records":[],"linking_records":[{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17688}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":3367,"relation":"applies_to_content"}],"grants":[{"id":5269,"fairsharing_record_id":204,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:27:21.112Z","updated_at":"2021-09-30T09:27:21.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11010,"fairsharing_record_id":204,"organisation_id":78,"relation":"associated_with","created_at":"2023-10-18T19:30:18.755Z","updated_at":"2023-10-18T19:30:18.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":78,"name":"American Medical Association, USA","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"205","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.703Z","metadata":{"doi":"10.25504/FAIRsharing.xyj0nr","name":"Cognitive Paradigm Ontology","status":"ready","contacts":[{"contact_name":"Jessica Turner","contact_email":"jturner@mrn.org"}],"homepage":"http://www.cogpo.org","identifier":205,"description":"This ontology is used to describe the experimental conditions within cognitive/behavioral experiments, primarily in humans. CogPO is a framework for the formal representation of the cognitive paradigms used in behavioral experiments, driven by cognitive neuroscience and neuroimaging examples.","abbreviation":"CogPO","support_links":[{"url":"http://wiki.cogpo.org/index.php?title=Main_Page","name":"Wiki","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COGPO","name":"COGPO","portal":"BioPortal"}]},"legacy_ids":["bsg-002700","bsg-s002700"],"name":"FAIRsharing record for: Cognitive Paradigm Ontology","abbreviation":"CogPO","url":"https://fairsharing.org/10.25504/FAIRsharing.xyj0nr","doi":"10.25504/FAIRsharing.xyj0nr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is used to describe the experimental conditions within cognitive/behavioral experiments, primarily in humans. CogPO is a framework for the formal representation of the cognitive paradigms used in behavioral experiments, driven by cognitive neuroscience and neuroimaging examples.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Imaging","Behavior","Cognition","Assay","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2161,"pubmed_id":21643732,"title":"The cognitive paradigm ontology: design and application.","year":2011,"url":"http://doi.org/10.1007/s12021-011-9126-x","authors":"Turner JA,Laird AR","journal":"Neuroinformatics","doi":"10.1007/s12021-011-9126-x","created_at":"2021-09-30T08:26:23.616Z","updated_at":"2021-09-30T08:26:23.616Z"}],"licence_links":[],"grants":[{"id":5273,"fairsharing_record_id":205,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:27:21.224Z","updated_at":"2021-09-30T09:27:21.224Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5271,"fairsharing_record_id":205,"organisation_id":1839,"relation":"maintains","created_at":"2021-09-30T09:27:21.165Z","updated_at":"2021-09-30T09:27:21.165Z","grant_id":null,"is_lead":false,"saved_state":{"id":1839,"name":"Mind Research Network (MRN), Albuquerque, NM, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5272,"fairsharing_record_id":205,"organisation_id":2429,"relation":"funds","created_at":"2021-09-30T09:27:21.193Z","updated_at":"2021-09-30T09:27:21.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2429,"name":"Research Imaging Institute, University of Texas Health Science Center, Texas, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5274,"fairsharing_record_id":205,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:27:21.255Z","updated_at":"2021-09-30T09:30:02.738Z","grant_id":528,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"1R01MH084812-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"198","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-02T07:58:27.026Z","metadata":{"doi":"10.25504/FAIRsharing.wpxab1","name":"Current Procedural Terminology","status":"ready","contacts":[{"contact_name":"Dorith Brown","contact_email":"msc@ama-assn.org"}],"homepage":"https://www.ama-assn.org/practice-management/cpt/ama-cpt-licensing-overview","citations":[],"identifier":198,"description":"Current Procedural Terminology is a medical nomenclature used to report medical procedures and services under public and private health insurance programs.","abbreviation":"CPT","year_creation":1966,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CPT","name":"CPT","portal":"BioPortal"}]},"legacy_ids":["bsg-002669","bsg-s002669"],"name":"FAIRsharing record for: Current Procedural Terminology","abbreviation":"CPT","url":"https://fairsharing.org/10.25504/FAIRsharing.wpxab1","doi":"10.25504/FAIRsharing.wpxab1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Current Procedural Terminology is a medical nomenclature used to report medical procedures and services under public and private health insurance programs.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13174},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16971}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1743,"pubmed_id":24589819,"title":"Current procedural terminology; a primer.","year":2014,"url":"http://doi.org/10.1136/neurintsurg-2014-011156","authors":"Hirsch JA,Leslie-Mazwi TM,Nicola GN,Barr RM,Bello JA,Donovan WD,Tu R,Alson MD,Manchikanti L","journal":"J Neurointerv Surg","doi":"10.1136/neurintsurg-2014-011156","created_at":"2021-09-30T08:25:35.555Z","updated_at":"2021-09-30T08:25:35.555Z"},{"id":1751,"pubmed_id":18359442,"title":"CPT: an open system that describes all that you do.","year":2008,"url":"http://doi.org/10.1016/j.jacr.2007.10.004","authors":"Thorwarth WT Jr","journal":"J Am Coll Radiol","doi":"10.1016/j.jacr.2007.10.004","created_at":"2021-09-30T08:25:36.495Z","updated_at":"2021-09-30T08:25:36.495Z"}],"licence_links":[],"grants":[{"id":5258,"fairsharing_record_id":198,"organisation_id":78,"relation":"maintains","created_at":"2021-09-30T09:27:20.633Z","updated_at":"2021-09-30T09:27:20.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":78,"name":"American Medical Association, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"199","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.149Z","metadata":{"doi":"10.25504/FAIRsharing.7zxrs6","name":"Edinburgh human developmental anatomy abstract version 2","status":"ready","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/EHDAA2","identifier":199,"description":"The EHDAA2 ontology is a human developmental anatomy covering the first 49 days [Carnegie stages (CS)1–20], primarily structured around the parts of organ systems and their development. The ontology includes more than 2000 anatomical entities (AEs) that range from the whole embryo, through organ systems and organ parts down to simple or leaf tissues (groups of cells with the same morphological phenotype), as well as features such as cavities. It represents a complete rebuilding of the EHDA intended to meet current standards. The intention has been to include as much information about human developmental anatomy as is practical and as is available in the literature.","abbreviation":"EHDAA2","support_links":[{"url":"http://www.emouseatlas.org/emap/help/feedback/popupemap.php","type":"Contact form"},{"url":"emap@emouseatlas.org","type":"Support email"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EHDAA2","name":"EHDAA2","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ehdaa2.html","name":"ehdaa2","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002675","bsg-s002675"],"name":"FAIRsharing record for: Edinburgh human developmental anatomy abstract version 2","abbreviation":"EHDAA2","url":"https://fairsharing.org/10.25504/FAIRsharing.7zxrs6","doi":"10.25504/FAIRsharing.7zxrs6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EHDAA2 ontology is a human developmental anatomy covering the first 49 days [Carnegie stages (CS)1–20], primarily structured around the parts of organ systems and their development. The ontology includes more than 2000 anatomical entities (AEs) that range from the whole embryo, through organ systems and organ parts down to simple or leaf tissues (groups of cells with the same morphological phenotype), as well as features such as cavities. It represents a complete rebuilding of the EHDA intended to meet current standards. The intention has been to include as much information about human developmental anatomy as is practical and as is available in the literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Biomedical Science"],"domains":["Animal organ development","Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1052,"pubmed_id":22973865,"title":"A new ontology (structured hierarchy) of human developmental anatomy for the first 7 weeks (Carnegie stages 1-20).","year":2012,"url":"http://doi.org/10.1111/j.1469-7580.2012.01566.x","authors":"Bard J","journal":"J Anat","doi":"10.1111/j.1469-7580.2012.01566.x","created_at":"2021-09-30T08:24:16.472Z","updated_at":"2021-09-30T08:24:16.472Z"}],"licence_links":[],"grants":[{"id":5259,"fairsharing_record_id":199,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:27:20.666Z","updated_at":"2021-09-30T09:27:20.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"200","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:43:04.504Z","metadata":{"doi":"10.25504/FAIRsharing.bgx54j","name":"MaHCO","status":"ready","contacts":[{"contact_name":"David S. DeLuca","contact_email":"david_deluca@dfci.harvard.edu","contact_orcid":"0000-0002-0141-9116"}],"homepage":"http://www.bioinformatics.org/mahco/wiki/","identifier":200,"description":"MHC, or major histocompatibility complex is a gene complex found in jawed vertebrates. The genes found on this region of the genome include several important genes which encode proteins which are responsible for presenting peptides on the cell surface for inspection by cells of the immune system. In human, such genes are called HLA (human leukocyte antigen). MaHCO contains terms necessary for describing and categorizing concepts related to MHC, in general, and for a number of model species, and also for humans.","abbreviation":"MHC","support_links":[{"url":"http://www.bioinformatics.org/forums/?group_id=950","type":"Forum"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MHC","name":"MHC","portal":"BioPortal"}]},"legacy_ids":["bsg-002619","bsg-s002619"],"name":"FAIRsharing record for: MaHCO","abbreviation":"MHC","url":"https://fairsharing.org/10.25504/FAIRsharing.bgx54j","doi":"10.25504/FAIRsharing.bgx54j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MHC, or major histocompatibility complex is a gene complex found in jawed vertebrates. The genes found on this region of the genome include several important genes which encode proteins which are responsible for presenting peptides on the cell surface for inspection by cells of the immune system. In human, such genes are called HLA (human leukocyte antigen). MaHCO contains terms necessary for describing and categorizing concepts related to MHC, in general, and for a number of model species, and also for humans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science"],"domains":["Major histocompatibility complex","Immune system"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":900,"pubmed_id":19429601,"title":"MaHCO: an ontology of the major histocompatibility complex for immunoinformatic applications and text mining.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp306","authors":"DeLuca DS,Beisswanger E,Wermter J,Horn PA,Hahn U,Blasczyk R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp306","created_at":"2021-09-30T08:23:59.437Z","updated_at":"2021-09-30T08:23:59.437Z"}],"licence_links":[],"grants":[{"id":5261,"fairsharing_record_id":200,"organisation_id":1747,"relation":"maintains","created_at":"2021-09-30T09:27:20.771Z","updated_at":"2021-09-30T09:27:20.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":1747,"name":"Major Histocompatibility Complex ontology (MHC) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9343,"fairsharing_record_id":200,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.764Z","updated_at":"2022-04-11T12:07:31.782Z","grant_id":94,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01DS001A-1C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"201","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:16.359Z","metadata":{"doi":"10.25504/FAIRsharing.eawbqb","name":"Cell Culture Ontology","status":"ready","contacts":[{"contact_name":"Matthias Ganzinger","contact_email":"matthias.ganzinger@med.uni-heidelberg.de","contact_orcid":"0000-0002-2716-5425"}],"homepage":"http://bioportal.bioontology.org/ontologies/3108","identifier":201,"description":"Cell Culture Ontology (CCONT) is an ontology for the formal representation of cell lines and their corresponding culture conditions.","abbreviation":"CCONT","year_creation":2011},"legacy_ids":["bsg-002827","bsg-s002827"],"name":"FAIRsharing record for: Cell Culture Ontology","abbreviation":"CCONT","url":"https://fairsharing.org/10.25504/FAIRsharing.eawbqb","doi":"10.25504/FAIRsharing.eawbqb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cell Culture Ontology (CCONT) is an ontology for the formal representation of cell lines and their corresponding culture conditions.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10881}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Cell line","Cell","Disease process modeling","Cell culture"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":1796,"pubmed_id":23144907,"title":"On the ontology based representation of cell lines.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0048584","authors":"Ganzinger M,He S,Breuhahn K,Knaup P","journal":"PLoS One","doi":"10.1371/journal.pone.0048584","created_at":"2021-09-30T08:25:41.646Z","updated_at":"2021-09-30T08:25:41.646Z"}],"licence_links":[],"grants":[{"id":5262,"fairsharing_record_id":201,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:20.812Z","updated_at":"2021-09-30T09:27:20.812Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5263,"fairsharing_record_id":201,"organisation_id":3062,"relation":"maintains","created_at":"2021-09-30T09:27:20.854Z","updated_at":"2021-09-30T09:27:20.854Z","grant_id":null,"is_lead":false,"saved_state":{"id":3062,"name":"University of Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"147","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:43:36.533Z","metadata":{"doi":"10.25504/FAIRsharing.6tgyxf","name":"FlyBase Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Clare Pilgrim","contact_email":"cp390@cam.ac.uk","contact_orcid":"0000-0002-1373-1705"}],"homepage":"https://github.com/FlyBase/flybase-controlled-vocabulary","citations":[],"identifier":147,"description":"A structured controlled vocabulary developed and used by FlyBase, including the Drosophila phenotype ontology. It is used in annotation and classification of data related to Drosophila, including phenotypes and expression.","abbreviation":"FBcv","support_links":[{"url":"https://github.com/FlyBase/flybase-controlled-vocabulary/issues","type":"Github"},{"url":"https://github.com/FlyBase/flybase-controlled-vocabulary","type":"Github"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FB-CV","name":"FB-CV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fbcv.html","name":"FBcv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002614","bsg-s002614"],"name":"FAIRsharing record for: FlyBase Controlled Vocabulary","abbreviation":"FBcv","url":"https://fairsharing.org/10.25504/FAIRsharing.6tgyxf","doi":"10.25504/FAIRsharing.6tgyxf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary developed and used by FlyBase, including the Drosophila phenotype ontology. It is used in annotation and classification of data related to Drosophila, including phenotypes and expression.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Phenotype"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1958,"pubmed_id":24138933,"title":"The Drosophila phenotype ontology","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-30","authors":"Osumi-Sutherland D., Marygold S. J., Millburn G. H., McQuilton P. A., Ponting. L., Stefancsik R., Falls K., Brown N. H., Gkoutos G. V.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-4-30","created_at":"2021-09-30T08:26:00.340Z","updated_at":"2021-09-30T08:26:00.340Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3671,"relation":"applies_to_content"}],"grants":[{"id":5163,"fairsharing_record_id":147,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:17.408Z","updated_at":"2021-09-30T09:31:23.242Z","grant_id":1146,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BBG0043581","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5161,"fairsharing_record_id":147,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:17.333Z","updated_at":"2021-09-30T09:30:23.538Z","grant_id":691,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"HG000739","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11847,"fairsharing_record_id":147,"organisation_id":4424,"relation":"maintains","created_at":"2024-06-26T13:05:18.121Z","updated_at":"2024-06-27T09:30:23.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":4424,"name":"Department of Physiology, Development and Neuroscience","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"148","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.127Z","metadata":{"doi":"10.25504/FAIRsharing.fe4pja","name":"Gene Prediction File Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format9","identifier":148,"description":"Gene Prediction File Format (genePred) is a table format commonly used for gene prediction tracks in the Genome Browser. Variations of genePred include standard format, extended format and a format which includes RefSeq genes with gene names.","abbreviation":"genePred","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000233","bsg-s000233"],"name":"FAIRsharing record for: Gene Prediction File Format","abbreviation":"genePred","url":"https://fairsharing.org/10.25504/FAIRsharing.fe4pja","doi":"10.25504/FAIRsharing.fe4pja","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Prediction File Format (genePred) is a table format commonly used for gene prediction tracks in the Genome Browser. Variations of genePred include standard format, extended format and a format which includes RefSeq genes with gene names.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Computational biological predictions","Deoxyribonucleic acid","Sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5164,"fairsharing_record_id":148,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:17.450Z","updated_at":"2021-09-30T09:27:17.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"149","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T20:40:15.000Z","updated_at":"2022-07-20T09:26:59.101Z","metadata":{"doi":"10.25504/FAIRsharing.546bcc","name":"Namespaces in XML","status":"ready","contacts":[{"contact_name":"Tim Bray","contact_email":"tbray@textuality.com"}],"homepage":"https://www.w3.org/TR/xml-names/","identifier":149,"description":"XML Namespaces is a W3C standard that allows combining markup elements and attributes from different XML-based markup languages. It provides a simple method for qualifying element and attribute names used in Extensible Markup Language documents by associating them with namespaces identified by URI references.","abbreviation":"XMLNS","support_links":[{"url":"xml-names-editor@w3.org","name":"Working Group Contact","type":"Support email"}],"year_creation":2004},"legacy_ids":["bsg-001285","bsg-s001285"],"name":"FAIRsharing record for: Namespaces in XML","abbreviation":"XMLNS","url":"https://fairsharing.org/10.25504/FAIRsharing.546bcc","doi":"10.25504/FAIRsharing.546bcc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Namespaces is a W3C standard that allows combining markup elements and attributes from different XML-based markup languages. It provides a simple method for qualifying element and attribute names used in Extensible Markup Language documents by associating them with namespaces identified by URI references.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":812,"relation":"undefined"}],"grants":[{"id":5165,"fairsharing_record_id":149,"organisation_id":3211,"relation":"maintains","created_at":"2021-09-30T09:27:17.492Z","updated_at":"2021-09-30T09:27:17.492Z","grant_id":null,"is_lead":true,"saved_state":{"id":3211,"name":"W3C XML Core Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"183","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-27T12:07:01.530Z","metadata":{"doi":"10.25504/FAIRsharing.zr52g5","name":"Crystallographic Information Framework","status":"ready","contacts":[{"contact_name":"John C Bollinger","contact_email":"john.bollinger@stjude.org"}],"homepage":"https://www.iucr.org/resources/cif","citations":[],"identifier":183,"description":"The acronym CIF is used both for the Crystallographic Information File, the data exchange standard file format of Hall, Allen \u0026 Brown (1991) (see Documentation), and for the Crystallographic Information Framework, a broader system of exchange protocols based on data dictionaries and relational rules expressible in different machine-readable manifestations, including, but not restricted to, Crystallographic Information File and XML.","abbreviation":"CIF","support_links":[{"url":"https://www.iucr.org/resources/cif/documentation","name":"CIF General Documentation","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-000222","bsg-s000222"],"name":"FAIRsharing record for: Crystallographic Information Framework","abbreviation":"CIF","url":"https://fairsharing.org/10.25504/FAIRsharing.zr52g5","doi":"10.25504/FAIRsharing.zr52g5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The acronym CIF is used both for the Crystallographic Information File, the data exchange standard file format of Hall, Allen \u0026 Brown (1991) (see Documentation), and for the Crystallographic Information Framework, a broader system of exchange protocols based on data dictionaries and relational rules expressible in different machine-readable manifestations, including, but not restricted to, Crystallographic Information File and XML.","linked_records":[],"linking_records":[{"linking_record_name":"Semantic Assets for Materials Science","linking_record_id":3512,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11309},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11718}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["X-ray crystallography assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":614,"pubmed_id":null,"title":"The crystallographic information file (CIF): a new standard archive file for crystallography","year":1991,"url":"http://doi.org/10.1107/S010876739101067X","authors":"Hall, S. R. and Allen, F. H. and Brown, I. D.","journal":"Acta Crystallographica Section A","doi":"10.1107/S010876739101067X","created_at":"2021-09-30T08:23:27.485Z","updated_at":"2021-09-30T08:23:27.485Z"},{"id":1687,"pubmed_id":null,"title":"Specification of the Crystallographic Information File format, version 2.0","year":2016,"url":"http://doi.org/10.1107/S1600576715021871","authors":"Bernstein HJ, BollingerJC, Brown ID, Gražulis S, Hester JR, McMahon B, Spadaccini N, Westbrookh JD and Westripi SP","journal":"Journal of Applied Crystallography","doi":"10.1107/S1600576715021871","created_at":"2021-09-30T08:25:29.004Z","updated_at":"2021-09-30T08:25:29.004Z"}],"licence_links":[],"grants":[{"id":5234,"fairsharing_record_id":183,"organisation_id":1534,"relation":"maintains","created_at":"2021-09-30T09:27:19.731Z","updated_at":"2024-02-27T11:59:18.180Z","grant_id":null,"is_lead":true,"saved_state":{"id":1534,"name":"International Union of Crystallography (IUCr), Chester, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcThEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--28c4ecfcd35124b5d357c137259db189d48396ce/CIF_v2.5.jpg?disposition=inline","exhaustive_licences":false}},{"id":"184","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:40.000Z","updated_at":"2022-07-20T12:25:47.361Z","metadata":{"doi":"10.25504/FAIRsharing.NHCOKK","name":"FAIR Maturity Indicator Gen2-MI-F1A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F1A.md","identifier":184,"description":"The FAIR Maturity Indicator Gen2-MI-F1A measures whether the GUID matches (regexp) a GUID scheme recognized as being globally unique in the FAIRSharing registry. The uniqueness of an identifier is a necessary condition to unambiguously refer that resource, and that resource alone. Otherwise, an identifier shared by multiple resources will confound efforts to describe that resource, or to use the identifier to retrieve it.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001372","bsg-s001372"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F1A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.NHCOKK","doi":"10.25504/FAIRsharing.NHCOKK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F1A measures whether the GUID matches (regexp) a GUID scheme recognized as being globally unique in the FAIRSharing registry. The uniqueness of an identifier is a necessary condition to unambiguously refer that resource, and that resource alone. Otherwise, an identifier shared by multiple resources will confound efforts to describe that resource, or to use the identifier to retrieve it.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13170},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13212},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13231},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13261},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13276},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20173}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1483,"relation":"undefined"}],"grants":[{"id":5235,"fairsharing_record_id":184,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:19.820Z","updated_at":"2021-09-30T09:27:19.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5238,"fairsharing_record_id":184,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:19.918Z","updated_at":"2021-09-30T09:27:19.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5236,"fairsharing_record_id":184,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:19.857Z","updated_at":"2021-09-30T09:27:19.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5237,"fairsharing_record_id":184,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:19.889Z","updated_at":"2021-09-30T09:27:19.889Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"185","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.818Z","metadata":{"doi":"10.25504/FAIRsharing.qrpwmw","name":"Basic Vertebrate Anatomy","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1056","identifier":185,"description":"There is no information currently available for Basic Vertebrate Anatomy ontology.","abbreviation":null,"deprecation_date":"2019-07-16","deprecation_reason":"No information can be found about this ontology."},"legacy_ids":["bsg-002630","bsg-s002630"],"name":"FAIRsharing record for: Basic Vertebrate Anatomy","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qrpwmw","doi":"10.25504/FAIRsharing.qrpwmw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: There is no information currently available for Basic Vertebrate Anatomy ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"186","type":"fairsharing_records","attributes":{"created_at":"2019-08-28T06:48:06.000Z","updated_at":"2024-01-28T15:58:31.609Z","metadata":{"doi":"10.25504/FAIRsharing.PB6595","name":"Wikidata Identifier","status":"ready","contacts":[],"homepage":"https://www.wikidata.org/wiki/Q43649390","citations":[],"identifier":186,"description":"Wikidata is a document-oriented database, focused on items, which represent any kind of topic, concept, or object. Each item is allocated a unique, persistent identifier (a QID), which is a positive integer prefixed with the upper-case letter Q.","abbreviation":"QID","support_links":[{"url":"https://en.wikipedia.org/wiki/Wikidata#Concept","name":"Additional information about QID","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioregistry.io/registry/wikidata","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/wikidata","name":"identifiers.org","portal":"Other"}],"regular_expression":"^(Q|P)\\d+$"},"legacy_ids":["bsg-001392","bsg-s001392"],"name":"FAIRsharing record for: Wikidata Identifier","abbreviation":"QID","url":"https://fairsharing.org/10.25504/FAIRsharing.PB6595","doi":"10.25504/FAIRsharing.PB6595","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Wikidata is a document-oriented database, focused on items, which represent any kind of topic, concept, or object. Each item is allocated a unique, persistent identifier (a QID), which is a positive integer prefixed with the upper-case letter Q.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5239,"fairsharing_record_id":186,"organisation_id":3233,"relation":"maintains","created_at":"2021-09-30T09:27:19.948Z","updated_at":"2024-01-28T14:48:43.070Z","grant_id":null,"is_lead":true,"saved_state":{"id":3233,"name":"Wikimedia Foundation","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"137","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:19.958Z","metadata":{"doi":"10.25504/FAIRsharing.54814g","name":"MDL reaction Format","status":"deprecated","contacts":[],"homepage":"http://openbabel.org/wiki/Chemical_Kinetics_Formats#RXN_Format","citations":[],"identifier":137,"description":"MDL reaction Format is used to describe the kinetics of chemical reactions and the chemical structure of the reactants and products.","abbreviation":"RXN","deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000260","bsg-s000260"],"name":"FAIRsharing record for: MDL reaction Format","abbreviation":"RXN","url":"https://fairsharing.org/10.25504/FAIRsharing.54814g","doi":"10.25504/FAIRsharing.54814g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MDL reaction Format is used to describe the kinetics of chemical reactions and the chemical structure of the reactants and products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Physical Chemistry"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Pathway model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5142,"fairsharing_record_id":137,"organisation_id":1809,"relation":"maintains","created_at":"2021-09-30T09:27:16.621Z","updated_at":"2021-09-30T09:27:16.621Z","grant_id":null,"is_lead":false,"saved_state":{"id":1809,"name":"MDL Information Systems","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"138","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T09:09:01.743Z","metadata":{"doi":"10.25504/FAIRsharing.k97xzh","name":"Sequence Alignment Map","status":"ready","contacts":[{"contact_name":"Richard Durbin","contact_email":"rd@sanger.ac.uk","contact_orcid":"0000-0002-9130-1006"}],"homepage":"https://github.com/samtools/samtools","identifier":138,"description":"The Sequence Alignment/Map (SAM) format is a TAB-delimited text format consisting of a header section, which is optional, and an alignment section.","abbreviation":"SAM","support_links":[{"url":"https://sourceforge.net/p/samtools/mailman/","type":"Mailing list"}],"year_creation":2008},"legacy_ids":["bsg-000261","bsg-s000261"],"name":"FAIRsharing record for: Sequence Alignment Map","abbreviation":"SAM","url":"https://fairsharing.org/10.25504/FAIRsharing.k97xzh","doi":"10.25504/FAIRsharing.k97xzh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sequence Alignment/Map (SAM) format is a TAB-delimited text format consisting of a header section, which is optional, and an alignment section.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11164},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12003},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16918}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","United Kingdom","United States"],"publications":[{"id":1712,"pubmed_id":19505943,"title":"The Sequence Alignment/Map format and SAMtools.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp352","authors":"Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R; 1000 Genome Project Data Processing Subgroup","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp352","created_at":"2021-09-30T08:25:31.829Z","updated_at":"2021-09-30T08:25:31.829Z"}],"licence_links":[],"grants":[{"id":5144,"fairsharing_record_id":138,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:16.696Z","updated_at":"2021-09-30T09:30:18.478Z","grant_id":648,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U54HG002750","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5143,"fairsharing_record_id":138,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:16.657Z","updated_at":"2021-09-30T09:31:56.735Z","grant_id":1399,"is_lead":false,"saved_state":{"id":2854,"name":"Wellcome","grant":"077192/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5146,"fairsharing_record_id":138,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:16.766Z","updated_at":"2021-09-30T09:27:16.766Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5147,"fairsharing_record_id":138,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:16.808Z","updated_at":"2021-09-30T09:27:16.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12024,"fairsharing_record_id":138,"organisation_id":908,"relation":"maintains","created_at":"2024-07-04T09:05:16.971Z","updated_at":"2024-07-04T09:05:16.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"139","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.721Z","metadata":{"doi":"10.25504/FAIRsharing.dpgp6t","name":"Stockholm Multiple Alignment Format","status":"ready","contacts":[{"contact_name":"Erik Sonnhammers","contact_email":"Erik.Sonnhammer@scilifelab.se"}],"homepage":"http://sonnhammer.sbc.su.se/Stockholm.html","identifier":139,"description":"The \"Stockholm\" format is a system for marking up features in a multiple alignment. These mark-up annotations are preceded by a 'magic' label, of which there are four types. The Stockholm format is used by HMMER, Pfam, and Belvu.","abbreviation":null,"support_links":[{"url":"https://en.wikipedia.org/wiki/Stockholm_format","type":"Wikipedia"},{"url":"http://scikit-bio.org/docs/0.5.0/generated/skbio.io.format.stockholm.html","type":"Help documentation"}]},"legacy_ids":["bsg-000265","bsg-s000265"],"name":"FAIRsharing record for: Stockholm Multiple Alignment Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.dpgp6t","doi":"10.25504/FAIRsharing.dpgp6t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The \"Stockholm\" format is a system for marking up features in a multiple alignment. These mark-up annotations are preceded by a 'magic' label, of which there are four types. The Stockholm format is used by HMMER, Pfam, and Belvu.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12108}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"150","type":"fairsharing_records","attributes":{"created_at":"2018-05-21T13:10:10.000Z","updated_at":"2024-05-02T14:37:47.271Z","metadata":{"doi":"10.25504/FAIRsharing.8f9bbb","name":"JavaScript Object Notation for Linking Data","status":"ready","contacts":[{"contact_name":"JSON for Linking Data W3C Community Group","contact_email":"public-linked-json@w3.org"}],"homepage":"https://json-ld.org/spec/latest/json-ld/","citations":[],"identifier":150,"description":"JSON-LD is a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines. JSON-LD is a concrete RDF syntax. A JSON-LD document is both an RDF document and a JSON document and correspondingly represents an instance of an RDF data model. However, JSON-LD also extends the RDF data model to optionally allow JSON-LD to serialize generalized RDF Datasets.","abbreviation":"JSON-LD","support_links":[{"url":"https://webchat.freenode.net/?channels=#json-ld","name":"JSON-LD IRC","type":"Forum"},{"url":"https://json-ld.org/learn.html","name":"Learn about JSON-LD","type":"Help documentation"},{"url":"https://github.com/json-ld/json-ld.org","name":"GitHub Repository","type":"Github"},{"url":"https://json-ld.org/","name":"JSON-LD General Information","type":"Help documentation"},{"url":"https://en.m.wikipedia.org/wiki/JSON-LD","name":"JSON-LD Wiki","type":"Wikipedia"}],"year_creation":2010,"associated_tools":[{"url":"https://json-ld.org/playground/","name":"JSON-LD Playground"}],"cross_references":[{"url":"http://edamontology.org/format_3749","name":"EDAM","portal":"BioPortal"}]},"legacy_ids":["bsg-001214","bsg-s001214"],"name":"FAIRsharing record for: JavaScript Object Notation for Linking Data","abbreviation":"JSON-LD","url":"https://fairsharing.org/10.25504/FAIRsharing.8f9bbb","doi":"10.25504/FAIRsharing.8f9bbb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JSON-LD is a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines. JSON-LD is a concrete RDF syntax. A JSON-LD document is both an RDF document and a JSON document and correspondingly represents an instance of an RDF data model. However, JSON-LD also extends the RDF data model to optionally allow JSON-LD to serialize generalized RDF Datasets.","linked_records":[],"linking_records":[{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13282}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Computer Science","Omics"],"domains":["Resource metadata","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Software and Document Notice and License","licence_id":851,"licence_url":"http://www.w3.org/Consortium/Legal/2015/copyright-software-and-document","link_id":1075,"relation":"undefined"}],"grants":[{"id":5166,"fairsharing_record_id":150,"organisation_id":1613,"relation":"maintains","created_at":"2021-09-30T09:27:17.529Z","updated_at":"2024-03-28T13:33:33.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":1613,"name":"JSON for Linking Data W3C Community Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"151","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.383Z","metadata":{"doi":"10.25504/FAIRsharing.6ttpnv","name":"Maize gross anatomy","status":"uncertain","contacts":[{"contact_name":"Leszek Vincent","contact_email":"Leszek@missouri.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1050","identifier":151,"description":"A structured controlled vocabulary for the anatomy of Zea mays.","abbreviation":"ZEA","support_links":[{"url":"https://wiki.nci.nih.gov/display/VKC/Maize+Gross+Anatomy+Vocabulary+FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wiki.nci.nih.gov/display/VKC/Maize+Gross+Anatomy+Vocabulary+Discussion","type":"Forum"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZEA","name":"ZEA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/zea.html","name":"zea","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002587","bsg-s002587"],"name":"FAIRsharing record for: Maize gross anatomy","abbreviation":"ZEA","url":"https://fairsharing.org/10.25504/FAIRsharing.6ttpnv","doi":"10.25504/FAIRsharing.6ttpnv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the anatomy of Zea mays.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Zea mays"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"360","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T13:43:06.000Z","updated_at":"2023-09-29T11:54:56.617Z","metadata":{"name":"ISO 19115:2003 Geographic information -- Metadata","status":"deprecated","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/26020.html","identifier":360,"description":"ISO 19115:2003 defines the schema required for describing geographic information and services. It provides information about the identification, the extent, the quality, the spatial and temporal schema, spatial reference, and distribution of digital geographic data.","abbreviation":"ISO 19115:2003","year_creation":2003,"deprecation_date":"2014-04-01","deprecation_reason":"This standard has been revised and is superceded by ISO 19115-1:2014. However, many other resources still reference this particular version."},"legacy_ids":["bsg-001315","bsg-s001315"],"name":"FAIRsharing record for: ISO 19115:2003 Geographic information -- Metadata","abbreviation":"ISO 19115:2003","url":"https://fairsharing.org/fairsharing_records/360","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115:2003 defines the schema required for describing geographic information and services. It provides information about the identification, the extent, the quality, the spatial and temporal schema, spatial reference, and distribution of digital geographic data.","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13329},{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13361}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":941,"relation":"undefined"}],"grants":[{"id":10912,"fairsharing_record_id":360,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:05:36.209Z","updated_at":"2023-09-27T14:05:36.209Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":5529,"fairsharing_record_id":360,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:30.465Z","updated_at":"2021-09-30T09:27:30.465Z","grant_id":null,"is_lead":true,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"361","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T12:16:25.921Z","metadata":{"doi":"10.25504/FAIRsharing.w4tncg","name":"Name Reaction Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"batchelorc@rsc.org"}],"homepage":"https://github.com/rsc-ontologies/rxno/","citations":[],"identifier":361,"description":"The Name Reaction Ontology (RXNO) connects organic name reactions such as the Diels-Alder cyclization and the Cannizzaro reaction to their roles in organic synthesis.","abbreviation":"RXNO","support_links":[{"url":"https://github.com/rsc-ontologies/rxno/issues","name":"Issue Tracker","type":"Contact form"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RXNO","name":"BioPortal: RXNO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/rxno","name":"OLS: rxno","portal":"OLS"},{"url":"https://obofoundry.org/ontology/rxno.html","name":"rxno","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001017","bsg-s001017"],"name":"FAIRsharing record for: Name Reaction Ontology","abbreviation":"RXNO","url":"https://fairsharing.org/10.25504/FAIRsharing.w4tncg","doi":"10.25504/FAIRsharing.w4tncg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Name Reaction Ontology (RXNO) connects organic name reactions such as the Diels-Alder cyclization and the Cannizzaro reaction to their roles in organic synthesis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Chemistry"],"domains":["Reaction data"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2536,"relation":"applies_to_content"}],"grants":[{"id":8645,"fairsharing_record_id":361,"organisation_id":2467,"relation":"maintains","created_at":"2021-12-13T21:00:19.633Z","updated_at":"2021-12-13T21:00:19.633Z","grant_id":null,"is_lead":true,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"362","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-01-18T09:30:10.532Z","metadata":{"doi":"10.25504/FAIRsharing.3kfn3j","name":"Allen Brain Atlas Adult Mouse Brain Ontology","status":"deprecated","contacts":[],"homepage":"http://www.brain-map.org","citations":[],"identifier":362,"description":"The Adult Mouse Brain ontology is used within the Allen Brain Map Project to describe and annotate data from the project.","abbreviation":"ABA-AMB","support_links":[{"url":"https://secure2.convio.net/allins/site/SPageServer/?pagename=send_message_ai","name":"General Contact Form","type":"Contact form"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ABA-AMB","name":"ABA-AMB","portal":"BioPortal"}],"deprecation_date":"2022-01-17","deprecation_reason":"This resource is an integral (rather than independent) part of the larger Allen Brain Map Project, and therefore has been deprecated. Please refer to the Allen Brain Map Data Catalog record for more information."},"legacy_ids":["bsg-001018","bsg-s001018"],"name":"FAIRsharing record for: Allen Brain Atlas Adult Mouse Brain Ontology","abbreviation":"ABA-AMB","url":"https://fairsharing.org/10.25504/FAIRsharing.3kfn3j","doi":"10.25504/FAIRsharing.3kfn3j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adult Mouse Brain ontology is used within the Allen Brain Map Project to describe and annotate data from the project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Allen Brain Map Terms of Use","licence_id":895,"licence_url":"https://alleninstitute.org/legal/terms-use/","link_id":2541,"relation":"applies_to_content"},{"licence_name":"Allen Brain Map Citation Policy","licence_id":896,"licence_url":"https://alleninstitute.org/legal/citation-policy/","link_id":2542,"relation":"applies_to_content"}],"grants":[{"id":8648,"fairsharing_record_id":362,"organisation_id":60,"relation":"maintains","created_at":"2021-12-15T10:13:48.063Z","updated_at":"2021-12-15T10:13:48.063Z","grant_id":null,"is_lead":true,"saved_state":{"id":60,"name":"Allen Institute for Brain Science, Seattle, WA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"363","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:14:34.325Z","metadata":{"doi":"10.25504/FAIRsharing.zmx7nn","name":"Ontology of Genes and Genomes","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://bitbucket.org/hegroup/ogg","identifier":363,"description":"OGG is a biological ontology in the area of genes and genomes. OGG uses the Basic Formal Ontology (BFO) as its upper level ontology. This OGG document contains the genes and genomes of a list of selected organisms. Each gene in OGG has over 10 annotation items, includes gene-associated Gene Ontology (GO) and PubMed article information. OGG has represented genes in human, two viruses, and four bacteria. Additionally, 7 OGG subsets are developed to represent genes and genomes of 7 model systems including mouse, fruit fly, zebrafish, yeast, A. thaliana, C. elegans, and P. falciparum.","abbreviation":"OGG","support_links":[{"url":"https://bitbucket.org/hegroup/ogg/issues/","name":"Issue Tracker","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGG","name":"OGG","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogg.html","name":"ogg","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000919","bsg-s000919"],"name":"FAIRsharing record for: Ontology of Genes and Genomes","abbreviation":"OGG","url":"https://fairsharing.org/10.25504/FAIRsharing.zmx7nn","doi":"10.25504/FAIRsharing.zmx7nn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OGG is a biological ontology in the area of genes and genomes. OGG uses the Basic Formal Ontology (BFO) as its upper level ontology. This OGG document contains the genes and genomes of a list of selected organisms. Each gene in OGG has over 10 annotation items, includes gene-associated Gene Ontology (GO) and PubMed article information. OGG has represented genes in human, two viruses, and four bacteria. Additionally, 7 OGG subsets are developed to represent genes and genomes of 7 model systems including mouse, fruit fly, zebrafish, yeast, A. thaliana, C. elegans, and P. falciparum.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biology"],"domains":["Gene name","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":747,"pubmed_id":null,"title":"OGG: a biological ontology for representing genes and genomes in specific organisms","year":2014,"url":"https://www.semanticscholar.org/paper/OGG%3A-a-Biological-Ontology-for-Representing-Genes-He-Liu/6bc6c5c0df6e64c0941a5d4d064724ffae359d14","authors":"He Y, Liu Y, Zhao B.","journal":"Proceedings of the 5th International Conference on Biomedical Ontologies (ICBO), Houston, Texas, USA. Pages 13-20","doi":null,"created_at":"2021-09-30T08:23:42.261Z","updated_at":"2021-09-30T11:28:30.740Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":128,"relation":"undefined"}],"grants":[{"id":5531,"fairsharing_record_id":363,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:30.548Z","updated_at":"2021-09-30T09:30:30.662Z","grant_id":741,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5530,"fairsharing_record_id":363,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:30.505Z","updated_at":"2021-09-30T09:27:30.505Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"364","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T19:52:37.000Z","updated_at":"2022-07-20T12:38:07.799Z","metadata":{"doi":"10.25504/FAIRsharing.39dca5","name":"Guidelines for Multilingual Thesauri","status":"ready","contacts":[],"homepage":"https://www.ifla.org/publications/ifla-professional-reports-115","citations":[],"identifier":364,"description":"The Guidelines for Multilingual Thesauri was established in 2009 and is maintained by the Subject Analysis and Access Section within the IFLA. The purpose of these document guidelines is to describe the structure and the principle of building multilingual thesauri.","abbreviation":null,"support_links":[{"url":"https://www.ifla.org/contact-us/","name":"Contact us","type":"Contact form"}],"year_creation":2009},"legacy_ids":["bsg-001254","bsg-s001254"],"name":"FAIRsharing record for: Guidelines for Multilingual Thesauri","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.39dca5","doi":"10.25504/FAIRsharing.39dca5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Guidelines for Multilingual Thesauri was established in 2009 and is maintained by the Subject Analysis and Access Section within the IFLA. The purpose of these document guidelines is to describe the structure and the principle of building multilingual thesauri.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Subject Agnostic","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5533,"fairsharing_record_id":364,"organisation_id":1489,"relation":"maintains","created_at":"2021-09-30T09:27:30.623Z","updated_at":"2021-09-30T09:27:30.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":1489,"name":"International Federation of Library Associations and Institutions (IFLA), The Hague, The Netherlands","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5532,"fairsharing_record_id":364,"organisation_id":2664,"relation":"maintains","created_at":"2021-09-30T09:27:30.585Z","updated_at":"2021-09-30T09:27:30.585Z","grant_id":null,"is_lead":true,"saved_state":{"id":2664,"name":"Subject Analysis and Access Group, International Federation of Library Associations and Institutions (IFLA), The Hague, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"365","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T18:36:06.000Z","updated_at":"2023-05-05T09:05:43.130Z","metadata":{"doi":"10.25504/FAIRsharing.76c06d","name":"Darwin Core Geospatial Extension","status":"deprecated","contacts":[{"contact_name":" Markus Döring","contact_email":"m.doering@mac.com","contact_orcid":"0000-0001-7757-1889"}],"homepage":"https://github.com/tdwg/wiki-archive/blob/master/twiki/data/DarwinCore/GeospatialExtension.txt","citations":[],"identifier":365,"description":"The Geospatial extension of the Darwin core.","abbreviation":null,"deprecation_date":"2023-05-03","deprecation_reason":"While this resource is still accessible, the specification page also notes that the wiki it is a part of is deprecated, and that the listed homepage is for historical purposes only. We cannot find a more recent specification document on the Darwin Core website or anywhere else, and therefore consider this resource deprecated. Please get in touch with us if you have any information on the current status of this resource."},"legacy_ids":["bsg-001316","bsg-s001316"],"name":"FAIRsharing record for: Darwin Core Geospatial Extension","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.76c06d","doi":"10.25504/FAIRsharing.76c06d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geospatial extension of the Darwin core.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Taxonomic classification","Biological sample annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"366","type":"fairsharing_records","attributes":{"created_at":"2021-01-10T16:52:07.000Z","updated_at":"2022-03-17T11:09:36.421Z","metadata":{"name":"Collection Descriptions","status":"in_development","contacts":[{"contact_name":"Deborah Paul","contact_email":"dpaul@fsu.edu"}],"homepage":"https://github.com/tdwg/cd","identifier":366,"description":"This Collection Descriptions (CD) is a metadata standard being developed by the Collection Descriptions Interest Group, which evolved from the work of the Natural Collection Descriptions (NCD) group. CD is a developing standard for describing entire collections of natural history materials. Examples include collections of specimens, observation data, visual resources, photographs, and materials from historical voyages. Collection metadata, access and usage of the collection, and where to get more detailed information is part of this standard. CD aims to describe the characteristics of groups of objects that are already represented individually under other current and emerging TDWG standards such as Darwin Core (specimens, observations) or Audubon Core (images, field notebooks). This limitation is imposed so that the scope of CD can be narrowly defined to the areas in which the TDWG organization has already built up the existing body of knowledge for what constitutes useful descriptive elements.","abbreviation":null,"support_links":[{"url":"https://github.com/tdwg/cd/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-001573","bsg-s001573"],"name":"FAIRsharing record for: Collection Descriptions","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/366","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This Collection Descriptions (CD) is a metadata standard being developed by the Collection Descriptions Interest Group, which evolved from the work of the Natural Collection Descriptions (NCD) group. CD is a developing standard for describing entire collections of natural history materials. Examples include collections of specimens, observation data, visual resources, photographs, and materials from historical voyages. Collection metadata, access and usage of the collection, and where to get more detailed information is part of this standard. CD aims to describe the characteristics of groups of objects that are already represented individually under other current and emerging TDWG standards such as Darwin Core (specimens, observations) or Audubon Core (images, field notebooks). This limitation is imposed so that the scope of CD can be narrowly defined to the areas in which the TDWG organization has already built up the existing body of knowledge for what constitutes useful descriptive elements.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12285}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Earth Science","Life Science","Natural History"],"domains":["Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":841,"relation":"undefined"}],"grants":[{"id":5534,"fairsharing_record_id":366,"organisation_id":553,"relation":"maintains","created_at":"2021-09-30T09:27:30.665Z","updated_at":"2021-09-30T09:27:30.665Z","grant_id":null,"is_lead":true,"saved_state":{"id":553,"name":"Collection Descriptions (CD) Interest Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"367","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2021-11-24T13:20:13.968Z","metadata":{"doi":"10.25504/FAIRsharing.hw3bh2","name":"OWL-Time","status":"ready","contacts":[{"contact_name":"Simon Cox, Chris Little","contact_email":"simon.cox@csiro.au","contact_orcid":"0000-0002-3884-3420"}],"homepage":"https://www.w3.org/TR/owl-time/","identifier":367,"description":"OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars.","abbreviation":"TIME","support_links":[{"url":"https://www.w3.org/2017/sdwig/","name":"Spatial Data on the Web Interest Group","type":"Forum"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TIME","name":"TIME","portal":"BioPortal"}]},"legacy_ids":["bsg-000818","bsg-s000818"],"name":"FAIRsharing record for: OWL-Time","abbreviation":"TIME","url":"https://fairsharing.org/10.25504/FAIRsharing.hw3bh2","doi":"10.25504/FAIRsharing.hw3bh2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OWL-Time is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological (ordering) relations among instants and intervals, together with information about durations, and about temporal position including date-time information. Time positions and durations may be expressed using either the conventional (Gregorian) calendar and clock, or using another temporal reference system such as Unix-time, geologic time, or different calendars.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Resource metadata","Data model"],"taxonomies":["All"],"user_defined_tags":["Data coordination","Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":68,"relation":"undefined"}],"grants":[{"id":5535,"fairsharing_record_id":367,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:30.707Z","updated_at":"2021-09-30T09:27:30.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"369","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T15:00:47.000Z","updated_at":"2022-08-01T15:31:54.114Z","metadata":{"doi":"10.25504/FAIRsharing.A29ckB","name":"Biodiversity Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://skosmos.loterre.fr/BLH/en/","citations":[],"identifier":369,"description":"This bilingual thesaurus organizes the key concepts of biodiversity sciences, in their basic and applied ecological components. It uses polyhierarchy and includes 818 reciprocal associative relationships. The 1654 French and English descriptors (designating 827 concepts) are enriched with a large number of synonyms (1860) and hidden variants (7020) in both languages. Concepts are grouped into 82 collections, by semantic categories, thematic fields and EBV classes (Essential Biodiversity Variables). Definitions are given with their sources. This resource is aligned with the international thesauri AGROVOC, GEMET (GEneral Multilingual Environmental Thesaurus) and EnvThes (Environmental Thesaurus), as well as with the ontology ENVO (Environment Ontology).","abbreviation":"Biodiversity","year_creation":2015},"legacy_ids":["bsg-001420","bsg-s001420"],"name":"FAIRsharing record for: Biodiversity Thesaurus","abbreviation":"Biodiversity","url":"https://fairsharing.org/10.25504/FAIRsharing.A29ckB","doi":"10.25504/FAIRsharing.A29ckB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This bilingual thesaurus organizes the key concepts of biodiversity sciences, in their basic and applied ecological components. It uses polyhierarchy and includes 818 reciprocal associative relationships. The 1654 French and English descriptors (designating 827 concepts) are enriched with a large number of synonyms (1860) and hidden variants (7020) in both languages. Concepts are grouped into 82 collections, by semantic categories, thematic fields and EBV classes (Essential Biodiversity Variables). Definitions are given with their sources. This resource is aligned with the international thesauri AGROVOC, GEMET (GEneral Multilingual Environmental Thesaurus) and EnvThes (Environmental Thesaurus), as well as with the ontology ENVO (Environment Ontology).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11306}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agroecology","Environmental Science","Ecology","Biodiversity","Ecosystem Science"],"domains":["Climate","Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1422,"pubmed_id":null,"title":"Semantics of Biodiversity: from Thesaurus to Linked Open Data (LOD)","year":2020,"url":"https://hal.archives-ouvertes.fr/hal-02907484","authors":"Dominique Vachez, Isabelle Gomez, Eric Garnier","journal":"*","doi":null,"created_at":"2021-09-30T08:24:58.943Z","updated_at":"2021-09-30T08:24:58.943Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":175,"relation":"undefined"}],"grants":[{"id":5536,"fairsharing_record_id":369,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:30.748Z","updated_at":"2021-09-30T09:27:30.748Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5537,"fairsharing_record_id":369,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:30.786Z","updated_at":"2021-09-30T09:27:30.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"351","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T19:11:15.000Z","updated_at":"2022-07-20T10:26:52.333Z","metadata":{"doi":"10.25504/FAIRsharing.921056","name":"Metadata Encoding and Transmission Standard","status":"ready","contacts":[],"homepage":"http://www.loc.gov/standards/mets/","citations":[],"identifier":351,"description":"The METS schema is a standard for encoding descriptive, administrative, and structural metadata regarding objects within a digital library, expressed using the XML schema language of the World Wide Web Consortium. The standard is maintained in the Network Development and MARC Standards Office of the Library of Congress, and is being developed as an initiative of the Digital Library Federation.","abbreviation":"METS","support_links":[{"url":"http://www.loc.gov/standards/mets/news120110.html","name":"Blog","type":"Blog/News"},{"url":"http://www.loc.gov/standards/mets/mets-schemadocs.html","name":"documentation","type":"Help documentation"},{"url":"https://twitter.com/mets_lib","name":"Twitter","type":"Twitter"},{"url":"https://github.com/mets/METS-board/wiki","name":"Wiki Pages","type":"Help documentation"},{"url":"https://github.com/mets","name":"GitHub Project","type":"Github"}],"year_creation":2001,"associated_tools":[{"url":"https://www.loc.gov/standards/mets/mets-tools.html","name":"Tools and Utilities"}]},"legacy_ids":["bsg-001252","bsg-s001252"],"name":"FAIRsharing record for: Metadata Encoding and Transmission Standard","abbreviation":"METS","url":"https://fairsharing.org/10.25504/FAIRsharing.921056","doi":"10.25504/FAIRsharing.921056","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The METS schema is a standard for encoding descriptive, administrative, and structural metadata regarding objects within a digital library, expressed using the XML schema language of the World Wide Web Consortium. The standard is maintained in the Network Development and MARC Standards Office of the Library of Congress, and is being developed as an initiative of the Digital Library Federation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States","Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":286,"relation":"undefined"}],"grants":[{"id":5511,"fairsharing_record_id":351,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:27:29.915Z","updated_at":"2022-06-30T11:17:51.036Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaTBCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--05af8f2b4e546303019db3dd48db0c8a5dc3ce6e/mets.png?disposition=inline","exhaustive_licences":false}},{"id":"353","type":"fairsharing_records","attributes":{"created_at":"2020-06-25T15:19:05.000Z","updated_at":"2022-07-20T12:46:37.845Z","metadata":{"doi":"10.25504/FAIRsharing.ple9HR","name":"Cochrane Core Vocabulary Ontology","status":"ready","contacts":[{"contact_name":"Chris Mavergames","contact_email":"cmavergames@cochrane.org"}],"homepage":"https://data.cochrane.org/ontologies/core/index-en.html","identifier":353,"description":"The Cochrane Core Vocabulary ontology describes the entities and concepts that exist in the domain of evidence-based healthcare. It is used for the construction of the Cochrane Linked Data Vocabulary containing some 400k terms including Interventions (Drugs, Procedures etc), Populations (Age, Sex, Condition), and Clinical outcomes. *Please note our web pages are currently under review*","abbreviation":null,"support_links":[{"url":"https://data.cochrane.org/ontologies/","name":"About the Cochrane Ontologies","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001500","bsg-s001500"],"name":"FAIRsharing record for: Cochrane Core Vocabulary Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ple9HR","doi":"10.25504/FAIRsharing.ple9HR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cochrane Core Vocabulary ontology describes the entities and concepts that exist in the domain of evidence-based healthcare. It is used for the construction of the Cochrane Linked Data Vocabulary containing some 400k terms including Interventions (Drugs, Procedures etc), Populations (Age, Sex, Condition), and Clinical outcomes. *Please note our web pages are currently under review*","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Clinical Studies","Health Science","Medical Informatics"],"domains":["Intervention design"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1423,"relation":"undefined"}],"grants":[{"id":5512,"fairsharing_record_id":353,"organisation_id":544,"relation":"maintains","created_at":"2021-09-30T09:27:29.940Z","updated_at":"2021-09-30T09:27:29.940Z","grant_id":null,"is_lead":true,"saved_state":{"id":544,"name":"Cochrane, London, United Kingdom","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"354","type":"fairsharing_records","attributes":{"created_at":"2019-02-07T12:37:03.000Z","updated_at":"2023-11-24T14:08:58.804Z","metadata":{"doi":"10.25504/FAIRsharing.rvvbCB","name":"Meta-omics Data and Collection Objects","status":"ready","contacts":[{"contact_name":"Dagmar Triebel","contact_email":"triebel@snsb.de"}],"homepage":"https://www.mod-co.net/wiki/Schema_Representations","citations":[{"doi":"10.1093/database/baz002","pubmed_id":30715273,"publication_id":2254}],"identifier":354,"description":"The MOD-CO schema is a conceptual and procedural meta-omics schema developed as part of the MOD-CO project. The schema is represented in a number of different formats. MOD-CO is a generic and comprehensive schema providing specifications useful for later software implementation and facilitating international standardisation processes. Certain implementations and use cases are provided. MOD-CO has a hierarchical organization of concepts describing collection samples, as well as products and data objects being generated during operational workflows. It is focused on object trait descriptions as well as on operational aspects and thereby may serve as a backbone for R\u0026D laboratory information management systems with functions of an electronic laboratory notebook.","abbreviation":"MOD-CO","support_links":[{"url":"https://www.mod-co.net/wiki/Implementations","name":"Implementations and Use Cases","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"https://diversityworkbench.net/Portal/DiversityDescriptions","name":"DiversityDescriptions 3"}]},"legacy_ids":["bsg-001358","bsg-s001358"],"name":"FAIRsharing record for: Meta-omics Data and Collection Objects","abbreviation":"MOD-CO","url":"https://fairsharing.org/10.25504/FAIRsharing.rvvbCB","doi":"10.25504/FAIRsharing.rvvbCB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MOD-CO schema is a conceptual and procedural meta-omics schema developed as part of the MOD-CO project. The schema is represented in a number of different formats. MOD-CO is a generic and comprehensive schema providing specifications useful for later software implementation and facilitating international standardisation processes. Certain implementations and use cases are provided. MOD-CO has a hierarchical organization of concepts describing collection samples, as well as products and data objects being generated during operational workflows. It is focused on object trait descriptions as well as on operational aspects and thereby may serve as a backbone for R\u0026D laboratory information management systems with functions of an electronic laboratory notebook.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12539}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Metagenomics","Proteomics","Molecular Microbiology","Metabolomics","Transcriptomics"],"domains":["Resource metadata","Experimental measurement","Marine metagenome","Protocol","Metagenome"],"taxonomies":["All"],"user_defined_tags":["Metatranscriptome"],"countries":["Germany"],"publications":[{"id":2254,"pubmed_id":30715273,"title":"Meta-omics data and collection objects (MOD-CO): a conceptual schema and data model for processing sample data in meta-omics research","year":2019,"url":"http://doi.org/10.1093/database/baz002","authors":"Gerhard Rambold, Pelin Yilmaz, Janno Harjes, Sabrina Klaster, Veronica Sanz, Anton Link, Frank Oliver Glöckner, Dagmar Triebel","journal":"Database: The Journal of Biological Databases \u0026 Curation","doi":"10.1093/database/baz002","created_at":"2021-09-30T08:26:34.106Z","updated_at":"2021-09-30T08:26:34.106Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2359,"relation":"undefined"}],"grants":[{"id":5516,"fairsharing_record_id":354,"organisation_id":1580,"relation":"maintains","created_at":"2021-09-30T09:27:30.040Z","updated_at":"2021-09-30T09:27:30.040Z","grant_id":null,"is_lead":false,"saved_state":{"id":1580,"name":"Jacobs University gGmbH, Bremen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5515,"fairsharing_record_id":354,"organisation_id":174,"relation":"maintains","created_at":"2021-09-30T09:27:30.016Z","updated_at":"2021-09-30T09:27:30.016Z","grant_id":null,"is_lead":false,"saved_state":{"id":174,"name":"Bavarian Natural History Collections, SNSB IT Center, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5517,"fairsharing_record_id":354,"organisation_id":3020,"relation":"maintains","created_at":"2021-09-30T09:27:30.066Z","updated_at":"2021-09-30T09:27:30.066Z","grant_id":null,"is_lead":true,"saved_state":{"id":3020,"name":"University of Bayreuth, Department of Mycology, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5518,"fairsharing_record_id":354,"organisation_id":1787,"relation":"maintains","created_at":"2021-09-30T09:27:30.091Z","updated_at":"2021-09-30T09:27:30.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":1787,"name":"Max Planck Institute for Marine Microbiology (MPIMM), Bremen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5513,"fairsharing_record_id":354,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:29.967Z","updated_at":"2021-09-30T09:28:58.827Z","grant_id":40,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"GL 553/6-1 - RA 731/16-1 - TR 290/8-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8009,"fairsharing_record_id":354,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:30:22.127Z","updated_at":"2021-09-30T09:30:22.177Z","grant_id":679,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"GL 553/5-2 - TR 290/7-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9361,"fairsharing_record_id":354,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.053Z","updated_at":"2022-04-11T12:07:33.072Z","grant_id":832,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"GBOL 01LI1501M","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"356","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:00.966Z","metadata":{"doi":"10.25504/FAIRsharing.p1sejz","name":"Taxonomic Rank Vocabulary","status":"ready","contacts":[{"contact_name":"Peter E. Midford","contact_email":"peteremidford@yahoo.com","contact_orcid":"0000-0001-6512-3296"}],"homepage":"https://wiki.phenoscape.org/wiki/Ontologies#Taxonomic_Rank_Vocabulary_.28TAXRANK.29","identifier":356,"description":"This is a vocabulary of taxonomic ranks intended to replace the sets of rank terms found in the Teleost Taxonomy Ontology, the OBO translation of the NCBI taxonomy and similar OBO taxonomy ontologies. It provides terms for taxonomic ranks drawn from both the NCBI taxonomy database and from a rank vocabulary developed for the TDWG biodiversity information standards group. Each term contains cross reference links to the resources that use the terms. Consistent with its intended use as a vocabulary, there is no relation specifying an ordering of the rank terms. Likewise, all terms are directly descended from the term 'taxonomic rank' (TAXRANK:0000000).","abbreviation":"TAXRANK","support_links":[{"url":"https://github.com/phenoscape/taxrank","name":"GitHub","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TAXRANK","name":"TAXRANK","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/taxrank.html","name":"taxrank","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002646","bsg-s002646"],"name":"FAIRsharing record for: Taxonomic Rank Vocabulary","abbreviation":"TAXRANK","url":"https://fairsharing.org/10.25504/FAIRsharing.p1sejz","doi":"10.25504/FAIRsharing.p1sejz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a vocabulary of taxonomic ranks intended to replace the sets of rank terms found in the Teleost Taxonomy Ontology, the OBO translation of the NCBI taxonomy and similar OBO taxonomy ontologies. It provides terms for taxonomic ranks drawn from both the NCBI taxonomy database and from a rank vocabulary developed for the TDWG biodiversity information standards group. Each term contains cross reference links to the resources that use the terms. Consistent with its intended use as a vocabulary, there is no relation specifying an ordering of the rank terms. Likewise, all terms are directly descended from the term 'taxonomic rank' (TAXRANK:0000000).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":133,"relation":"undefined"}],"grants":[{"id":5523,"fairsharing_record_id":356,"organisation_id":2318,"relation":"maintains","created_at":"2021-09-30T09:27:30.222Z","updated_at":"2021-09-30T09:27:30.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":2318,"name":"Phenoscape","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8321,"fairsharing_record_id":356,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:04.459Z","updated_at":"2021-09-30T09:32:04.525Z","grant_id":1456,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EF-0905606","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5524,"fairsharing_record_id":356,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:30.264Z","updated_at":"2021-09-30T09:30:00.002Z","grant_id":506,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062542","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8070,"fairsharing_record_id":356,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:45.499Z","updated_at":"2021-09-30T09:30:45.556Z","grant_id":855,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062404","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"375","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:34.494Z","metadata":{"doi":"10.25504/FAIRsharing.wgvr02","name":"Minimal Information for QTLs and Association Studies Tabular","status":"ready","contacts":[{"contact_name":"Jan Aerts","contact_email":"jan.aerts@bbsrc.ac.uk","contact_orcid":"0000-0002-6416-2717"}],"homepage":"http://miqas.sourceforge.net/specification/MIQAS_TAB/MIQAS_TAB_specification.html","identifier":375,"description":"The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file. This is the same approach as used for the exchange of sequences between NCBI, Ensembl and DDBJ at the early stages of the Human Genome Project.","abbreviation":"MIQAS-TAB","support_links":[{"url":"jreecy@iastate.edu","name":"Jim Reecy","type":"Support email"}],"year_creation":2008},"legacy_ids":["bsg-000083","bsg-s000083"],"name":"FAIRsharing record for: Minimal Information for QTLs and Association Studies Tabular","abbreviation":"MIQAS-TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.wgvr02","doi":"10.25504/FAIRsharing.wgvr02","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file. This is the same approach as used for the exchange of sequences between NCBI, Ensembl and DDBJ at the early stages of the Human Genome Project.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11922}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Real time polymerase chain reaction","Phenotype","Genome-wide association study","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5547,"fairsharing_record_id":375,"organisation_id":1849,"relation":"maintains","created_at":"2021-09-30T09:27:31.249Z","updated_at":"2021-09-30T09:27:31.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":1849,"name":"Minimum Information for QTLs and Association Studies (MIQAS) Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5548,"fairsharing_record_id":375,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:31.290Z","updated_at":"2021-09-30T09:27:31.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"376","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-03-17T08:27:05.300Z","metadata":{"doi":"10.25504/FAIRsharing.htq39f","name":"COMODI","status":"ready","contacts":[{"contact_name":"martin scharm","contact_email":"comodi-on-bioportal@binfalse.de"}],"homepage":"http://comodi.sems.uni-rostock.de","citations":[{"doi":"10.1186/s13326-016-0080-2","pubmed_id":27401413,"publication_id":3800}],"identifier":376,"description":"An ontology to characterise differences in versions of computational models in biology","abbreviation":"COMODI","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COMODI","name":"COMODI","portal":"BioPortal"}]},"legacy_ids":["bsg-001026","bsg-s001026"],"name":"FAIRsharing record for: COMODI","abbreviation":"COMODI","url":"https://fairsharing.org/10.25504/FAIRsharing.htq39f","doi":"10.25504/FAIRsharing.htq39f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology to characterise differences in versions of computational models in biology","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12234},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16926}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3800,"pubmed_id":27401413,"title":"COMODI: an ontology to characterise differences in versions of computational models in biology.","year":2016,"url":"https://doi.org/10.1186/s13326-016-0080-2","authors":"Scharm M, Waltemath D, Mendes P, Wolkenhauer O","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-016-0080-2","created_at":"2023-03-17T08:25:31.252Z","updated_at":"2023-03-17T08:25:31.252Z"}],"licence_links":[],"grants":[{"id":10422,"fairsharing_record_id":376,"organisation_id":3320,"relation":"undefined","created_at":"2023-03-17T08:26:57.569Z","updated_at":"2023-03-17T08:26:57.569Z","grant_id":null,"is_lead":false,"saved_state":{"id":3320,"name":"The University of Rostock","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"377","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:46:01.902Z","metadata":{"doi":"10.25504/FAIRsharing.h1v36j","name":"Using Phenotype Ontologies in GVF","status":"deprecated","contacts":[{"contact_name":"Karen Eilbeck","contact_email":"keilbeck@genetics.utah.edu","contact_orcid":"0000-0002-0831-6427"}],"homepage":"http://www.sequenceontology.org/so_wiki/index.php/Using_Phenotype_Ontologies_in_GVF","citations":[],"identifier":377,"description":"This guideline describes a set of best practices when using phenotype ontologies to annotate genomic variant files using Genome Variation Format (GVF) and the Sequence Ontology.","abbreviation":"GVF Guidelines","year_creation":2009,"deprecation_date":"2022-03-02","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000536","bsg-s000536"],"name":"FAIRsharing record for: Using Phenotype Ontologies in GVF","abbreviation":"GVF Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.h1v36j","doi":"10.25504/FAIRsharing.h1v36j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This guideline describes a set of best practices when using phenotype ontologies to annotate genomic variant files using Genome Variation Format (GVF) and the Sequence Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Genetic polymorphism","Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1185,"pubmed_id":20064205,"title":"Integrating phenotype ontologies across multiple species.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-1-r2","authors":"Mungall CJ,Gkoutos GV,Smith CL,Haendel MA,Lewis SE,Ashburner M","journal":"Genome Biol","doi":"10.1186/gb-2010-11-1-r2","created_at":"2021-09-30T08:24:31.725Z","updated_at":"2021-09-30T08:24:31.725Z"}],"licence_links":[],"grants":[{"id":5550,"fairsharing_record_id":377,"organisation_id":2548,"relation":"maintains","created_at":"2021-09-30T09:27:31.370Z","updated_at":"2021-09-30T09:27:31.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2548,"name":"Sequence Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5552,"fairsharing_record_id":377,"organisation_id":2804,"relation":"funds","created_at":"2021-09-30T09:27:31.449Z","updated_at":"2021-09-30T09:27:31.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5554,"fairsharing_record_id":377,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:31.531Z","updated_at":"2021-09-30T09:27:31.531Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5551,"fairsharing_record_id":377,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:31.407Z","updated_at":"2021-09-30T09:31:32.983Z","grant_id":1220,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BG/G004358/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5553,"fairsharing_record_id":377,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:31.490Z","updated_at":"2021-09-30T09:32:06.083Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5549,"fairsharing_record_id":377,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:31.331Z","updated_at":"2021-09-30T09:32:09.473Z","grant_id":1493,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"378","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-14T17:02:50.406Z","metadata":{"doi":"10.25504/FAIRsharing.h4rs6h","name":"GO-PLUS","status":"ready","contacts":[],"homepage":"http://geneontology.org/docs/download-ontology/#go_plus_owl","citations":[],"identifier":378,"description":"This is the fully axiomatised version of the Gene Ontology (GO). It includes cross-ontology relationships (axioms) and imports additional required ontologies including ChEBI, Cell Ontology and Uberon. It also includes a complete set of relationship types including some not in go.obo/go.owl. This version is only available in OWL format.","abbreviation":"GO-PLUS","support_links":[{"url":"https://www.alliancegenome.org/","name":"Alliance of Genome Ressources","type":"Other"},{"url":"http://geneontology.org/docs/go-subset-guide/","name":"Guide to GO subsets","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/oboformat/oboformat-tools","name":" Oboformat tools"},{"url":"https://github.com/owlcs/owlapi","name":"OWL API in Github"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GO-PLUS","name":"GO-PLUS","portal":"BioPortal"}]},"legacy_ids":["bsg-001041","bsg-s001041"],"name":"FAIRsharing record for: GO-PLUS","abbreviation":"GO-PLUS","url":"https://fairsharing.org/10.25504/FAIRsharing.h4rs6h","doi":"10.25504/FAIRsharing.h4rs6h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is the fully axiomatised version of the Gene Ontology (GO). It includes cross-ontology relationships (axioms) and imports additional required ontologies including ChEBI, Cell Ontology and Uberon. It also includes a complete set of relationship types including some not in go.obo/go.owl. This version is only available in OWL format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Gene functional annotation","Molecular function","Cellular component","Biological process"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10410,"fairsharing_record_id":378,"organisation_id":1099,"relation":"maintains","created_at":"2023-03-14T16:53:29.486Z","updated_at":"2023-03-14T16:53:29.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"379","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:34.719Z","metadata":{"doi":"10.25504/FAIRsharing.pkw5bj","name":"Genome Variation Format","status":"ready","contacts":[{"contact_name":"Karen Eilbeck","contact_email":"keilbeck@genetics.utah.edu"}],"homepage":"https://github.com/The-Sequence-Ontology/Specifications/blob/master/gvf.md","identifier":379,"description":"The Genome Variation Format (GVF) is a very simple file format for describing sequence alteration features at nucleotide resolution relative to a reference genome.","abbreviation":"GVF","year_creation":2009},"legacy_ids":["bsg-000535","bsg-s000535"],"name":"FAIRsharing record for: Genome Variation Format","abbreviation":"GVF","url":"https://fairsharing.org/10.25504/FAIRsharing.pkw5bj","doi":"10.25504/FAIRsharing.pkw5bj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome Variation Format (GVF) is a very simple file format for describing sequence alteration features at nucleotide resolution relative to a reference genome.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12032},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16924}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","DNA sequence data","Genetic polymorphism","Genome","Sequence variant"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":432,"pubmed_id":20796305,"title":"A standard variation file format for human genome sequences.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-8-r88","authors":"Reese MG, Moore B, Batchelor C, Salas F, Cunningham F, Marth GT, Stein L, Flicek P, Yandell M, Eilbeck K.","journal":"Genome Biol.","doi":"10.1186/gb-2010-11-8-r88","created_at":"2021-09-30T08:23:06.983Z","updated_at":"2021-09-30T08:23:06.983Z"}],"licence_links":[],"grants":[{"id":5555,"fairsharing_record_id":379,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:31.584Z","updated_at":"2021-09-30T09:27:31.584Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5557,"fairsharing_record_id":379,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:31.654Z","updated_at":"2021-09-30T09:29:44.127Z","grant_id":378,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R44HG3667","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5556,"fairsharing_record_id":379,"organisation_id":2548,"relation":"maintains","created_at":"2021-09-30T09:27:31.621Z","updated_at":"2021-09-30T09:27:31.621Z","grant_id":null,"is_lead":false,"saved_state":{"id":2548,"name":"Sequence Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8446,"fairsharing_record_id":379,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:40.493Z","updated_at":"2021-09-30T09:32:40.549Z","grant_id":1728,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R44HG2991","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"380","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T14:33:51.000Z","updated_at":"2022-02-08T10:40:48.628Z","metadata":{"doi":"10.25504/FAIRsharing.b52795","name":"BIM","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#bim","identifier":380,"description":"Extended variant information file accompanying a .bed binary genotype table.","abbreviation":"BIM"},"legacy_ids":["bsg-001479","bsg-s001479"],"name":"FAIRsharing record for: BIM","abbreviation":"BIM","url":"https://fairsharing.org/10.25504/FAIRsharing.b52795","doi":"10.25504/FAIRsharing.b52795","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Extended variant information file accompanying a .bed binary genotype table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["Chromosome","Allele","Sequence variant"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"370","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-16T16:33:17.617Z","metadata":{"doi":"10.25504/FAIRsharing.6bsfgf","name":"Recommended reporting guidelines for life science resources","status":"ready","contacts":[{"contact_name":"Melissa Haendel","contact_email":"haendel@ohsu.edu"}],"homepage":"https://force11.org/group/pages/recommended-reporting-guidelines-for-life-science-resources/","citations":[],"identifier":370,"description":"Recommended reporting guidelines for research resources frequently used in biomedical research, including antibodies, constructs, cell lines, model organisms and knockdown reagents. The purpose of these guidelines is to determine what information is required to uniquely identify a resource, either using \"extrinsic\" identifiers or providing sufficient metadata about \"intrinsic\" attributes to identify sufficiently characterize a resource. The Resource Identification Initiative was developed as an extension of these guidelines.","abbreviation":"Reporting guidelines for research resources","support_links":[{"url":"https://www.force11.org/group/4463/files","name":"Links \u0026 files","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-000532","bsg-s000532"],"name":"FAIRsharing record for: Recommended reporting guidelines for life science resources","abbreviation":"Reporting guidelines for research resources","url":"https://fairsharing.org/10.25504/FAIRsharing.6bsfgf","doi":"10.25504/FAIRsharing.6bsfgf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Recommended reporting guidelines for research resources frequently used in biomedical research, including antibodies, constructs, cell lines, model organisms and knockdown reagents. The purpose of these guidelines is to determine what information is required to uniquely identify a resource, either using \"extrinsic\" identifiers or providing sufficient metadata about \"intrinsic\" attributes to identify sufficiently characterize a resource. The Resource Identification Initiative was developed as an extension of these guidelines.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Neurobiology","Immunology","Developmental Biology","Life Science","Cell Biology","Biomedical Science","Translational Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":631,"pubmed_id":26594330,"title":"The Resource Identification Initiative: A cultural shift in publishing.","year":2015,"url":"http://doi.org/10.12688/f1000research.6555.2","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan S,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"F1000Res","doi":"10.12688/f1000research.6555.2","created_at":"2021-09-30T08:23:29.376Z","updated_at":"2021-09-30T08:23:29.376Z"},{"id":1283,"pubmed_id":26599696,"title":"The Resource Identification Initiative: A Cultural Shift in Publishing.","year":2015,"url":"http://doi.org/10.1002/cne.23913","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan SC,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"J Comp Neurol","doi":"10.1002/cne.23913","created_at":"2021-09-30T08:24:43.216Z","updated_at":"2021-09-30T08:24:43.216Z"},{"id":1418,"pubmed_id":24032093,"title":"On the reproducibility of science: unique identification of research resources in the biomedical literature.","year":2013,"url":"http://doi.org/10.7717/peerj.148","authors":"Vasilevsky NA,Brush MH,Paddock H,Ponting L,Tripathy SJ,Larocca GM,Haendel MA","journal":"PeerJ","doi":"10.7717/peerj.148","created_at":"2021-09-30T08:24:58.427Z","updated_at":"2021-09-30T08:24:58.427Z"}],"licence_links":[],"grants":[{"id":5539,"fairsharing_record_id":370,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:27:30.857Z","updated_at":"2021-09-30T09:27:30.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5542,"fairsharing_record_id":370,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:30.978Z","updated_at":"2021-09-30T09:31:55.160Z","grant_id":1386,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R24OD011883-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5538,"fairsharing_record_id":370,"organisation_id":2804,"relation":"funds","created_at":"2021-09-30T09:27:30.819Z","updated_at":"2021-09-30T09:27:30.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5540,"fairsharing_record_id":370,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:30.898Z","updated_at":"2021-09-30T09:27:30.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5541,"fairsharing_record_id":370,"organisation_id":2436,"relation":"maintains","created_at":"2021-09-30T09:27:30.939Z","updated_at":"2021-09-30T09:27:30.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2436,"name":"Resource Identification Initiatve","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"371","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T10:05:22.953Z","metadata":{"doi":"10.25504/FAIRsharing.2basyz","name":"Cardiovascular Disease Ontology","status":"ready","contacts":[{"contact_name":"Adrien Barton","contact_email":"adrien.barton@gmail.com"},{"contact_name":"Paul Fabry","contact_email":"paul.fabry@usherbrooke.ca","contact_orcid":null}],"homepage":"https://github.com/OpenLHS/CVDO","citations":[],"identifier":371,"description":"CVDO is an ontology based on the OGMS model of disease, designed to describe entities related to cardiovascular diseases (including the diseases themselves, the underlying disorders, and the related pathological processes).","abbreviation":"CVDO","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CVDO","name":"CVDO","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/cvdo.html","name":"cvdo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001024","bsg-s001024"],"name":"FAIRsharing record for: Cardiovascular Disease Ontology","abbreviation":"CVDO","url":"https://fairsharing.org/10.25504/FAIRsharing.2basyz","doi":"10.25504/FAIRsharing.2basyz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CVDO is an ontology based on the OGMS model of disease, designed to describe entities related to cardiovascular diseases (including the diseases themselves, the underlying disorders, and the related pathological processes).","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16985}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cardiology"],"domains":["Cardiovascular disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2555,"relation":"applies_to_content"}],"grants":[{"id":8691,"fairsharing_record_id":371,"organisation_id":2987,"relation":"maintains","created_at":"2022-01-06T20:15:50.986Z","updated_at":"2022-01-06T20:15:50.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":2987,"name":"Université de Sherbrooke, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8692,"fairsharing_record_id":371,"organisation_id":1444,"relation":"maintains","created_at":"2022-01-06T20:15:51.016Z","updated_at":"2022-01-06T20:15:51.016Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"372","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-04-18T09:43:37.788Z","metadata":{"doi":"10.25504/FAIRsharing.9sza27","name":"Growth Medium Onotology","status":"ready","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"shuichi.kawashima@gmail.com"}],"homepage":"https://github.com/skwsm/gmo","citations":[],"identifier":372,"description":"A structured controlled vocabulary for describing ingredients that constitute microbial growth media used in biological research centers.","abbreviation":"GMO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GMO","name":"GMO","portal":"BioPortal"}]},"legacy_ids":["bsg-001025","bsg-s001025"],"name":"FAIRsharing record for: Growth Medium Onotology","abbreviation":"GMO","url":"https://fairsharing.org/10.25504/FAIRsharing.9sza27","doi":"10.25504/FAIRsharing.9sza27","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for describing ingredients that constitute microbial growth media used in biological research centers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Microbiology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"373","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-20T10:30:03.493Z","metadata":{"doi":"10.25504/FAIRsharing.tv1yg0","name":"Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy","status":"ready","contacts":[{"contact_name":"Annette O'Connor","contact_email":"oconn445@msu.edu"}],"homepage":"http://www.reflect-statement.org/statement/","citations":[],"identifier":373,"description":"REFLECT stands for Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy. It is an evidence-based minimum set of items for trials reporting production, health, and food-safety outcomes.The aim of the REFLECT Statement is to help authors improve the reporting livestock trials with production, health, and food-safety outcomes. The REFLECT Statement consists of a 22-item checklist. It is an evolving document that is subject to change periodically as new evidence emerges.","abbreviation":"REFLECT","support_links":[],"year_creation":2008},"legacy_ids":["bsg-000110","bsg-s000110"],"name":"FAIRsharing record for: Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy","abbreviation":"REFLECT","url":"https://fairsharing.org/10.25504/FAIRsharing.tv1yg0","doi":"10.25504/FAIRsharing.tv1yg0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REFLECT stands for Reporting guidElines For randomized controLled trials for livEstoCk and food safeTy. It is an evidence-based minimum set of items for trials reporting production, health, and food-safety outcomes.The aim of the REFLECT Statement is to help authors improve the reporting livestock trials with production, health, and food-safety outcomes. The REFLECT Statement consists of a 22-item checklist. It is an evolving document that is subject to change periodically as new evidence emerges.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12105},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12508}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Nutritional Science","Preclinical Studies"],"domains":["Safety study","Group randomization"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1826,"pubmed_id":20070652,"title":"The REFLECT statement: reporting guidelines for Randomized Controlled Trials in livestock and food safety: explanation and elaboration.","year":2010,"url":"http://doi.org/10.1111/j.1863-2378.2009.01312.x","authors":"Sargeant JM,O'Connor AM,Gardner IA,Dickson JS,Torrence ME","journal":"Zoonoses Public Health","doi":"10.1111/j.1863-2378.2009.01312.x","created_at":"2021-09-30T08:25:45.106Z","updated_at":"2021-09-30T08:25:45.106Z"},{"id":4147,"pubmed_id":null,"title":"The REFLECT Statement: Methods and Processes of Creating Reporting Guidelines for Randomized Controlled Trials for Livestockand Food Safety","year":2016,"url":"http://dx.doi.org/10.4315/0362-028x-73.1.132","authors":"O’Connor, A.M.; Sargeant, J.M.; Gardner, I.A.; Dickson, J.S.; Torrence and, M.E.; Dewey, C.E.; Dohoo, I.R.; Evans, R.B.; Gray, J.T.; Greiner, M.; Keefe, G.; Lefebvre, S.L.; Morley, P.S.; Ramirez, A.; Sischo, W.; Smith, D.R.; Snedeker, K.; Sofos, J.N.; Ward, M.P.; Wills, R.; ","journal":"Journal of Food Protection","doi":"10.4315/0362-028x-73.1.132","created_at":"2024-02-20T10:13:59.726Z","updated_at":"2024-02-20T10:13:59.726Z"},{"id":4148,"pubmed_id":null,"title":"The REFLECT Statement: Reporting Guidelines for Randomized Controlled Trials in Livestock and Food Safety: Explanation and Elaboration","year":2016,"url":"http://dx.doi.org/10.4315/0362-028x-73.3.579","authors":"Sargeant, J.M.; O’connor, A.M.; Gardner, I.A.; Dickson, J.S.; Torrence, M.E.; Dohoo, Consensus Meeting Participants I.R.; Lefebvre, S.L.; Morley, P.S.; Ramirez, A.; Snedeker, K.; ","journal":"Journal of Food Protection","doi":"10.4315/0362-028x-73.3.579","created_at":"2024-02-20T10:14:15.614Z","updated_at":"2024-02-20T10:14:15.614Z"},{"id":4149,"pubmed_id":null,"title":"The REFLECT Statement: Methods and Processes of Creating Reporting Guidelines for Randomized Controlled Trials for Livestock and Food Safety by Modifying the CONSORT Statement","year":2010,"url":"http://dx.doi.org/10.1111/j.1863-2378.2009.01311.x","authors":"O’Connor, A. M.; Sargeant, J. M.; Gardner, I. A.; Dickson, J. S.; Torrence, M. E.; Dewey, C. E.; Dohoo, I. R.; Evans, R. B.; Gray, J. T.; Greiner, M.; Keefe, G.; Lefebvre, S. L.; Morley, P. S.; Ramirez, A.; Sischo, W.; Smith, D. R.; Snedeker, K.; Sofos, J.; Ward, M. P.; Wills, R.; undefined, undefined; ","journal":"Zoonoses and Public Health","doi":"10.1111/j.1863-2378.2009.01311.x","created_at":"2024-02-20T10:14:37.372Z","updated_at":"2024-02-20T10:14:37.372Z"},{"id":4150,"pubmed_id":null,"title":"The REFLECT Statement: Methods and Processes of Creating Reporting Guidelines for Randomized Controlled Trials for Livestock and Food Safety","year":2009,"url":"http://dx.doi.org/10.1111/j.1939-1676.2009.0441.x","authors":"O'Connor, A.M.; Sargeant, J.M.; Gardner, I.A.; Dickson, J.S.; Torrence, M.E.; undefined, undefined; ","journal":"Veterinary Internal Medicne","doi":"10.1111/j.1939-1676.2009.0441.x","created_at":"2024-02-20T10:14:46.784Z","updated_at":"2024-02-20T10:14:46.784Z"},{"id":4151,"pubmed_id":null,"title":"The REFLECT statement: Methods and processes of creating Reporting Guidelines For Randomized Controlled Trials for livestock and food safety","year":2009,"url":"http://dx.doi.org/10.1016/j.prevetmed.2009.10.008","authors":"O’Connor, A.M.; Sargeant, J.M.; Gardner, I.A.; Dickson, J.S.; Torrence, M.E.; Dewey, C.E.; Dohoo, I.R.; Evans, R.B.; Gray, J.T.; Greiner, M.; Keefe, G.; Lefebvre, S.L.; Morley, P.S.; Ramirez, A.; Sischo, W.; Smith, D.R.; Snedeker, K.; Sofos, J.; Ward, M.P.; Wills, R.; ","journal":"Preventive Veterinary Medicine","doi":"10.1016/j.prevetmed.2009.10.008","created_at":"2024-02-20T10:14:56.877Z","updated_at":"2024-02-20T10:14:56.877Z"}],"licence_links":[],"grants":[{"id":5544,"fairsharing_record_id":373,"organisation_id":2937,"relation":"funds","created_at":"2021-09-30T09:27:31.099Z","updated_at":"2021-09-30T09:31:37.160Z","grant_id":1251,"is_lead":false,"saved_state":{"id":2937,"name":"Food Safety and Inspection Service, United States Department of Agriculture","grant":"2005-35212-15287","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11388,"fairsharing_record_id":373,"organisation_id":4276,"relation":"collaborates_on","created_at":"2024-02-20T10:23:41.813Z","updated_at":"2024-02-20T10:23:41.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":4276,"name":"Ontario Veterinary College","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11390,"fairsharing_record_id":373,"organisation_id":1830,"relation":"maintains","created_at":"2024-02-20T10:23:41.964Z","updated_at":"2024-02-20T10:23:41.964Z","grant_id":null,"is_lead":true,"saved_state":{"id":1830,"name":"Michigan State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11392,"fairsharing_record_id":373,"organisation_id":4277,"relation":"collaborates_on","created_at":"2024-02-20T10:23:42.118Z","updated_at":"2024-02-20T10:23:42.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":4277,"name":"University of Prince Edward Island","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11394,"fairsharing_record_id":373,"organisation_id":561,"relation":"collaborates_on","created_at":"2024-02-20T10:23:42.311Z","updated_at":"2024-02-20T10:23:42.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":561,"name":"Colorado State University, CO, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11389,"fairsharing_record_id":373,"organisation_id":1545,"relation":"collaborates_on","created_at":"2024-02-20T10:23:41.814Z","updated_at":"2024-02-20T10:23:41.814Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11391,"fairsharing_record_id":373,"organisation_id":2932,"relation":"collaborates_on","created_at":"2024-02-20T10:23:41.987Z","updated_at":"2024-02-20T10:23:41.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":11393,"fairsharing_record_id":373,"organisation_id":4278,"relation":"collaborates_on","created_at":"2024-02-20T10:23:42.169Z","updated_at":"2024-02-20T10:23:42.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":4278,"name":"American Veterinary Medical Association","types":["Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcG9EIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--bb8cf2b379b645e33e30ba91be7c85ffa2ea26cb/Screenshot%20from%202024-02-20%2010-12-05.png?disposition=inline","exhaustive_licences":false}},{"id":"374","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:51:19.981Z","metadata":{"doi":"10.25504/FAIRsharing.emw61v","name":"Toxicology Data Markup Language","status":"deprecated","contacts":[{"contact_name":"Ma Ali","contact_email":"ash.ali@lhasalimited.org"}],"homepage":"http://toxml.org","citations":[],"identifier":374,"description":"ToxML is an open data exchange standard that allows the representation and communication of toxicological and related data in a well-structured electronic format. The status of this format is uncertain as the homepage is no longer accessible. ","abbreviation":"ToxML","year_creation":2011,"deprecation_date":"2022-03-02","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000539","bsg-s000539"],"name":"FAIRsharing record for: Toxicology Data Markup Language","abbreviation":"ToxML","url":"https://fairsharing.org/10.25504/FAIRsharing.emw61v","doi":"10.25504/FAIRsharing.emw61v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ToxML is an open data exchange standard that allows the representation and communication of toxicological and related data in a well-structured electronic format. The status of this format is uncertain as the homepage is no longer accessible. ","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10854},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11725},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12475}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Toxicogenomics","Toxicology","Chemistry","Life Science"],"domains":["Chemical entity","Toxicity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":604,"pubmed_id":23621552,"title":"ToxML, a data exchange standard with content controlled vocabulary used to build better (Q)SAR models","year":2013,"url":"http://doi.org/10.1080/1062936X.2013.783506","authors":"Ali M, Patel M, Wilkinson D, Judson P, Cross K, Bower D","journal":"SAR and QSAR in Environmental Research","doi":"10.1080/1062936X.2013.783506","created_at":"2021-09-30T08:23:26.202Z","updated_at":"2021-09-30T08:23:26.202Z"}],"licence_links":[],"grants":[{"id":5546,"fairsharing_record_id":374,"organisation_id":1711,"relation":"funds","created_at":"2021-09-30T09:27:31.206Z","updated_at":"2021-09-30T09:27:31.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":1711,"name":"Lhasa Limited, Leeds, UK","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"344","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-31T17:56:06.840Z","metadata":{"doi":"10.25504/FAIRsharing.aa0eat","name":"OBO Format Syntax and Semantics","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://owlcollab.github.io/oboformat/doc/obo-syntax.html","citations":[],"identifier":344,"description":"The first part of this specification describes the syntax and structure of OBO Format using BNF. This states how strings of characters in OBOF Files are parsed into abstract OBO documents, and describes constraints on the structure of these documents. The second part of this specification describes the semantics of an OBO document via a mapping to OWL2-DL and community metadata vocabularies.","abbreviation":"OBO Format","year_creation":2012},"legacy_ids":["bsg-000534","bsg-s000534"],"name":"FAIRsharing record for: OBO Format Syntax and Semantics","abbreviation":"OBO Format","url":"https://fairsharing.org/10.25504/FAIRsharing.aa0eat","doi":"10.25504/FAIRsharing.aa0eat","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first part of this specification describes the syntax and structure of OBO Format using BNF. This states how strings of characters in OBOF Files are parsed into abstract OBO documents, and describes constraints on the structure of these documents. The second part of this specification describes the semantics of an OBO document via a mapping to OWL2-DL and community metadata vocabularies.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12215}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"345","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2021-11-24T13:14:19.374Z","metadata":{"doi":"10.25504/FAIRsharing.qqy0dr","name":"Ontology of Chinese Medicine for Rheumatism","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/biomedontology/ocmr","identifier":345,"description":"OCMR is a biomedical ontology that represents anti-rheumatism traditional Chinese medicines and related information.","abbreviation":"OCMR","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCMR","name":"OCMR","portal":"BioPortal"}]},"legacy_ids":["bsg-001004","bsg-s001004"],"name":"FAIRsharing record for: Ontology of Chinese Medicine for Rheumatism","abbreviation":"OCMR","url":"https://fairsharing.org/10.25504/FAIRsharing.qqy0dr","doi":"10.25504/FAIRsharing.qqy0dr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OCMR is a biomedical ontology that represents anti-rheumatism traditional Chinese medicines and related information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1271,"relation":"undefined"}],"grants":[{"id":5506,"fairsharing_record_id":345,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:29.763Z","updated_at":"2021-09-30T09:27:29.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"347","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2024-03-25T20:38:27.926Z","metadata":{"doi":"10.25504/FAIRsharing.pn1sen","name":"Enzyme Reaction Ontology for annotating Partial Information of chemical transformation","status":"ready","contacts":[{"contact_name":"Masaaki Kotera","contact_email":"maskot@bio.titech.ac.jp"}],"homepage":"http://reactionontology.genome.jp/","citations":[],"identifier":347,"description":"PIERO stands for \"Enzyme Reaction Ontology for annotating Partial Information of chemical transformation\", which allows the extraction of partial reaction characteristics (or transformations) of the enzymatic reactions. ","abbreviation":"PIERO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PIERO","name":"PIERO","portal":"BioPortal"}]},"legacy_ids":["bsg-001008","bsg-s001008"],"name":"FAIRsharing record for: Enzyme Reaction Ontology for annotating Partial Information of chemical transformation","abbreviation":"PIERO","url":"https://fairsharing.org/10.25504/FAIRsharing.pn1sen","doi":"10.25504/FAIRsharing.pn1sen","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PIERO stands for \"Enzyme Reaction Ontology for annotating Partial Information of chemical transformation\", which allows the extraction of partial reaction characteristics (or transformations) of the enzymatic reactions. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Enzymology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":4206,"pubmed_id":null,"title":"PIERO ontology for analysis of biochemical transformations: Effective implementation of reaction information in the IUBMB enzyme list","year":2014,"url":"http://dx.doi.org/10.1142/S0219720014420013","authors":"Kotera, Masaaki; Nishimura, Yosuke; Nakagawa, Zen-Ichi; Muto, Ai; Moriya, Yuki; Okamoto, Shinobu; Kawashima, Shuichi; Katayama, Toshiaki; Tokimatsu, Toshiaki; Kanehisa, Minoru; Goto, Susumu; ","journal":"J. Bioinform. Comput. Biol.","doi":"10.1142/s0219720014420013","created_at":"2024-03-25T19:36:58.641Z","updated_at":"2024-03-25T19:36:58.641Z"}],"licence_links":[],"grants":[{"id":10409,"fairsharing_record_id":347,"organisation_id":1654,"relation":"maintains","created_at":"2023-03-14T16:46:38.324Z","updated_at":"2024-03-25T20:23:00.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":1654,"name":"Kyoto University, Kyoto, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11624,"fairsharing_record_id":347,"organisation_id":239,"relation":"maintains","created_at":"2024-03-25T20:23:00.043Z","updated_at":"2024-03-25T20:23:00.043Z","grant_id":null,"is_lead":true,"saved_state":{"id":239,"name":"Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto,Japan","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFlFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--80c044d69ca4031cb9b8d1b0cacb1999069b3476/piero-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"348","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-15T21:51:34.838Z","metadata":{"doi":"10.25504/FAIRsharing.azj141","name":"Material Rock Igneous","status":"deprecated","contacts":[{"contact_name":"Nitin","contact_email":"jhanit@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MATRROCKIGNEOUS","citations":[],"identifier":348,"description":"Material Rock Igneous component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","abbreviation":"MATRROCKIGNEOUS","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MATRROCKIGNEOUS","name":"MATRROCKIGNEOUS","portal":"BioPortal"}],"deprecation_date":"2022-07-15","deprecation_reason":"Deprecated because we represent all SWEET component ontologies via the main SWEET ontology record."},"legacy_ids":["bsg-001009","bsg-s001009"],"name":"FAIRsharing record for: Material Rock Igneous","abbreviation":"MATRROCKIGNEOUS","url":"https://fairsharing.org/10.25504/FAIRsharing.azj141","doi":"10.25504/FAIRsharing.azj141","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Material Rock Igneous component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"349","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T09:07:38.640Z","metadata":{"doi":"10.25504/FAIRsharing.309v57","name":"Livestock Breed Ontology","status":"ready","contacts":[{"contact_name":"Jim Reecy","contact_email":"jreecy@iastate.edu"}],"homepage":"https://www.animalgenome.org/bioinfo/projects/lbo/","citations":[],"identifier":349,"description":"The Livestock Breed Ontology (LBO) is a controlled vocabulary for the unambiguous description of breeds. Its utility include proper identification of inherited variation sources in genetics/genomic studies. ","abbreviation":"LBO","support_links":[{"url":"https://github.com/AnimalGenome/livestock-breed-ontology","name":"LBO GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LBO","name":"LBO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/lbo","name":"LBO in OLS","portal":"OLS"},{"url":"http://agroportal.lirmm.fr/ontologies/LBO","name":"LBO in AgroPortal","portal":"AgroPortal"}]},"legacy_ids":["bsg-001011","bsg-s001011"],"name":"FAIRsharing record for: Livestock Breed Ontology","abbreviation":"LBO","url":"https://fairsharing.org/10.25504/FAIRsharing.309v57","doi":"10.25504/FAIRsharing.309v57","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Livestock Breed Ontology (LBO) is a controlled vocabulary for the unambiguous description of breeds. Its utility include proper identification of inherited variation sources in genetics/genomic studies. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Breeding","Genomics","Genetics","Animal Husbandry"],"domains":[],"taxonomies":["Bison bison","Bos taurus","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2733,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"350","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T10:31:24.000Z","updated_at":"2022-07-20T10:51:25.364Z","metadata":{"name":"Open Microscopy Environment Ontology","status":"in_development","contacts":[{"contact_name":"Norio Kobayashi","contact_email":"norio.kobayashi@riken.jp"}],"homepage":"https://gitlab.com/openmicroscopy/incubator/ome-owl","identifier":350,"description":"The Open Microscopy Environment Ontology (OME-OWL) is a light microscopy imaging ontology that has been developed through translation of the OME data model. The aim of this ontology is to support multi-modal imaging technologies and integrate life-science metadata to enable comprehensive image analyses. The core concepts extracted from the OME Data model include project, experiment, instrument, image, screen, plate and region of interest. The ontology has been extended to include electron microscopy, X-ray computed tomography (CT) and magnetic resonance imaging (MRI).","abbreviation":"OME-OWL","support_links":[{"url":"https://gitlab.com/openmicroscopy/incubator/ome-owl/issues","name":"Issue Tracker","type":"Forum"}],"year_creation":2018,"associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}]},"legacy_ids":["bsg-001430","bsg-s001430"],"name":"FAIRsharing record for: Open Microscopy Environment Ontology","abbreviation":"OME-OWL","url":"https://fairsharing.org/fairsharing_records/350","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Microscopy Environment Ontology (OME-OWL) is a light microscopy imaging ontology that has been developed through translation of the OME data model. The aim of this ontology is to support multi-modal imaging technologies and integrate life-science metadata to enable comprehensive image analyses. The core concepts extracted from the OME Data model include project, experiment, instrument, image, screen, plate and region of interest. The ontology has been extended to include electron microscopy, X-ray computed tomography (CT) and magnetic resonance imaging (MRI).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18248},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11015},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14565}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Bioimaging","Light microscopy","Electron microscopy","Magnetic resonance imaging"],"taxonomies":["All"],"user_defined_tags":["X-ray Computed Tomography (CT)"],"countries":["Japan","United Kingdom"],"publications":[{"id":2706,"pubmed_id":null,"title":"OME Ontology: A Novel Data and Tool Integration Methodology for Multi-Modal Imaging in the Life Sciences.","year":2018,"url":"https://doi.org/10.6084/m9.figshare.7325063.v1","authors":"Kobayashi, Norio; Kume, Satoshi; Moore, Josh; Swedlow, Jason R.","journal":"Figshare","doi":null,"created_at":"2021-09-30T08:27:32.352Z","updated_at":"2021-09-30T11:29:51.943Z"}],"licence_links":[],"grants":[{"id":5508,"fairsharing_record_id":350,"organisation_id":2443,"relation":"maintains","created_at":"2021-09-30T09:27:29.834Z","updated_at":"2021-09-30T09:27:29.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":2443,"name":"RIKEN Center for Biosystems Dynamics Research (BDR), RIKEN, Hyogo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5509,"fairsharing_record_id":350,"organisation_id":769,"relation":"maintains","created_at":"2021-09-30T09:27:29.857Z","updated_at":"2021-09-30T09:27:29.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":769,"name":"Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5510,"fairsharing_record_id":350,"organisation_id":1220,"relation":"maintains","created_at":"2021-09-30T09:27:29.883Z","updated_at":"2021-09-30T09:27:29.883Z","grant_id":null,"is_lead":true,"saved_state":{"id":1220,"name":"Head Office for Information Systems and Cybersecurity (ISC), RIKEN, Saitama, Japan","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5507,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:27:29.802Z","updated_at":"2021-09-30T09:29:15.870Z","grant_id":165,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"5K16536","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8035,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:30:32.844Z","updated_at":"2021-09-30T09:30:32.896Z","grant_id":759,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"17K00434","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8146,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:31:11.130Z","updated_at":"2021-09-30T09:31:11.175Z","grant_id":1053,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"18K19766","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8467,"fairsharing_record_id":350,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:32:46.894Z","updated_at":"2021-09-30T09:32:46.951Z","grant_id":1775,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"17K00424","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"336","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T10:21:55.000Z","updated_at":"2023-05-04T13:18:31.199Z","metadata":{"doi":"10.25504/FAIRsharing.5cae72","name":"RDF/XML Syntax Specification","status":"ready","contacts":[{"contact_name":"Guus Schreiber","contact_email":"guus.schreiber@vu.nl","contact_orcid":"0000-0002-2400-1185"}],"homepage":"http://www.w3.org/TR/rdf-syntax-grammar/","citations":[],"identifier":336,"description":"RDF/XML is a standard which defines and describes the XML syntax for RDF graphs. Since 2004 it has been standardized as a W3C Recommendation.","abbreviation":"RDF/XML","support_links":[{"url":"public-rdf-comments@w3.org","name":"Make comments","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/RDF1.1_Errata","name":"Errata","type":"Help documentation"},{"url":"https://lists.w3.org/Archives/Public/public-rdf-comments/","name":"Mail Archives","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001261","bsg-s001261"],"name":"FAIRsharing record for: RDF/XML Syntax Specification","abbreviation":"RDF/XML","url":"https://fairsharing.org/10.25504/FAIRsharing.5cae72","doi":"10.25504/FAIRsharing.5cae72","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDF/XML is a standard which defines and describes the XML syntax for RDF graphs. Since 2004 it has been standardized as a W3C Recommendation.","linked_records":[],"linking_records":[{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13244}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Patent Policy","licence_id":849,"licence_url":"https://www.w3.org/Consortium/Patent-Policy-20040205/","link_id":132,"relation":"undefined"}],"grants":[{"id":5499,"fairsharing_record_id":336,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:29.457Z","updated_at":"2021-09-30T09:27:29.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5501,"fairsharing_record_id":336,"organisation_id":3012,"relation":"maintains","created_at":"2021-09-30T09:27:29.525Z","updated_at":"2021-09-30T09:27:29.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":3012,"name":"University of Amsterdam, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5500,"fairsharing_record_id":336,"organisation_id":3206,"relation":"maintains","created_at":"2021-09-30T09:27:29.492Z","updated_at":"2023-05-03T15:12:27.817Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"337","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-05-23T12:20:35.576Z","metadata":{"doi":"10.25504/FAIRsharing.8xmrgq","name":"Pathogenic Disease Ontology","status":"deprecated","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"http://mdb.bio.titech.ac.jp/pdo","citations":[],"identifier":337,"description":"An ontology for describing both human infectious diseases caused by microbes and the diseases that is related to microbial infection.","abbreviation":"PDO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDO","name":"PDO","portal":"BioPortal"}],"deprecation_date":"2022-05-23","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000998","bsg-s000998"],"name":"FAIRsharing record for: Pathogenic Disease Ontology","abbreviation":"PDO","url":"https://fairsharing.org/10.25504/FAIRsharing.8xmrgq","doi":"10.25504/FAIRsharing.8xmrgq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing both human infectious diseases caused by microbes and the diseases that is related to microbial infection.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Pathogen"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"339","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-03-30T07:31:23.156Z","metadata":{"doi":"10.25504/FAIRsharing.xn3pb3","name":"Veterans Health Administration National Drug File","status":"ready","contacts":[{"contact_name":"Michael Lincoln","contact_email":"michael.lincoln@med.va.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/VANDF/","identifier":339,"description":"Veterans Health Administration National Drug File is a centrally maintained electronic drug list used by the VHA hospitals and clinics. Facilities use the NDF to check drug interactions, to manage orders, and to send outpatient prescriptions to regional automated mail-out pharmacies.","abbreviation":"VANDF","support_links":[{"url":"https://www.pbm.va.gov/NationalFormulary.asp","name":"Pharmacy Benefits Management Services","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VANDF","name":"VANDF","portal":"BioPortal"}]},"legacy_ids":["bsg-002682","bsg-s002682"],"name":"FAIRsharing record for: Veterans Health Administration National Drug File","abbreviation":"VANDF","url":"https://fairsharing.org/10.25504/FAIRsharing.xn3pb3","doi":"10.25504/FAIRsharing.xn3pb3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Veterans Health Administration National Drug File is a centrally maintained electronic drug list used by the VHA hospitals and clinics. Facilities use the NDF to check drug interactions, to manage orders, and to send outpatient prescriptions to regional automated mail-out pharmacies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pharmacology","Biomedical Science"],"domains":["Drug","Drug interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":897,"pubmed_id":12463886,"title":"A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF.","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12463886","authors":"Nelson SJ,Brown SH,Erlbaum MS,Olson N,Powell T,Carlsen B,Carter J,Tuttle MS,Hole WT","journal":"Proc AMIA Symp","doi":null,"created_at":"2021-09-30T08:23:59.121Z","updated_at":"2021-09-30T08:23:59.121Z"}],"licence_links":[],"grants":[{"id":9062,"fairsharing_record_id":339,"organisation_id":2948,"relation":"maintains","created_at":"2022-03-29T17:18:26.072Z","updated_at":"2022-03-29T17:18:26.072Z","grant_id":null,"is_lead":false,"saved_state":{"id":2948,"name":"United States Department of Veterans Affairs","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5503,"fairsharing_record_id":339,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:29.596Z","updated_at":"2021-09-30T09:27:29.596Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"341","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:17:29.000Z","updated_at":"2024-05-21T11:36:29.070Z","metadata":{"doi":"10.25504/FAIRsharing.ldTee3","name":"IDG Tissue Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":341,"description":"Tissue sample model system reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001228","bsg-s001228"],"name":"FAIRsharing record for: IDG Tissue Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ldTee3","doi":"10.25504/FAIRsharing.ldTee3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Tissue sample model system reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11700}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11539,"fairsharing_record_id":341,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:11.065Z","updated_at":"2024-03-21T13:58:11.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11620,"fairsharing_record_id":341,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:11:17.989Z","updated_at":"2024-03-21T16:11:17.989Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaElFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4d45e486bd45ecf544e9d8f1fd7975234b4388d5/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"342","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:34.056Z","metadata":{"doi":"10.25504/FAIRsharing.8drfwh","name":"ICM binary file Format","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"support@molsoft.com"}],"homepage":"http://www.molsoft.com/icm/files.html","identifier":342,"description":"ICM binary file Format is used in databases pertaining to structural biology and protein families. This format can be used for the graphical representation of RNA, DNA, and proteins interactions.","abbreviation":"ICB","support_links":[{"url":"https://www.facebook.com/Molsoft/photos/a.458762136275.245660.151352866275/10153513335891276/?type=3","type":"Facebook"}],"year_creation":2013},"legacy_ids":["bsg-000277","bsg-s000277"],"name":"FAIRsharing record for: ICM binary file Format","abbreviation":"ICB","url":"https://fairsharing.org/10.25504/FAIRsharing.8drfwh","doi":"10.25504/FAIRsharing.8drfwh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ICM binary file Format is used in databases pertaining to structural biology and protein families. This format can be used for the graphical representation of RNA, DNA, and proteins interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Chemical structure","Molecular entity","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5505,"fairsharing_record_id":342,"organisation_id":1890,"relation":"maintains","created_at":"2021-09-30T09:27:29.680Z","updated_at":"2021-09-30T09:27:29.680Z","grant_id":null,"is_lead":false,"saved_state":{"id":1890,"name":"Molsoft LLC, San Diego, CA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"330","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T19:03:10.000Z","updated_at":"2024-03-21T16:13:52.404Z","metadata":{"doi":"10.25504/FAIRsharing.iUR9zW","name":"IDG Mouse Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":330,"description":"Mouse reporting standard for the Illuminating the Druggable Genome (IDG) consortium. Reporting standards based on Mutant Mouse Resource \u0026 Research Centers (MMRRC) requirements for deposition and resource management/availability.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/druggablegenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001225","bsg-s001225"],"name":"FAIRsharing record for: IDG Mouse Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.iUR9zW","doi":"10.25504/FAIRsharing.iUR9zW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mouse reporting standard for the Illuminating the Druggable Genome (IDG) consortium. Reporting standards based on Mutant Mouse Resource \u0026 Research Centers (MMRRC) requirements for deposition and resource management/availability.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11704}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Model organism","Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11561,"fairsharing_record_id":330,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.287Z","updated_at":"2024-03-21T13:58:57.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11619,"fairsharing_record_id":330,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:10:58.662Z","updated_at":"2024-03-21T16:10:58.662Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaEVFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e4b9dbbbf59a59aa892b3605e2927959c5064e59/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"331","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T18:59:15.000Z","updated_at":"2024-03-21T16:13:48.831Z","metadata":{"doi":"10.25504/FAIRsharing.aYZb2k","name":"IDG Genetic Construct Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":331,"description":"DNA construct reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/druggablegenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001224","bsg-s001224"],"name":"FAIRsharing record for: IDG Genetic Construct Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.aYZb2k","doi":"10.25504/FAIRsharing.aYZb2k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DNA construct reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11699}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genomics","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":11562,"fairsharing_record_id":331,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.550Z","updated_at":"2024-03-21T13:58:57.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11618,"fairsharing_record_id":331,"organisation_id":1314,"relation":"maintains","created_at":"2024-03-21T16:10:43.149Z","updated_at":"2024-03-21T16:10:43.149Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaEFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e97182cb49e20c5784cddb887c7fe544f8b7907b/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"332","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:34:25.000Z","updated_at":"2022-12-14T08:23:29.597Z","metadata":{"doi":"10.25504/FAIRsharing.L4Q3H9","name":"IVOA Identifier","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/IVOAIdentifiers/index.html","citations":[{"publication_id":2955}],"identifier":332,"description":"An IVOA Identifier is a globally unique name for a resource within the Virtual Observatory. This name can be used to retrieve a unique description of the resource from an IVOA-compliant registry or to identify an entity like a dataset or a protocol without dereferencing the identifier. This document describes the syntax for IVOA Identifiers as well as how they are created. The syntax has been defined to encourage global-uniqueness naturally and to maximize the freedom of resource providers to control the character content of an identifier.","abbreviation":"IVOA Identifier","support_links":[{"url":"http://www.ivoa.net/documents/IVOAIdentifiers/20160523/REC-Identifiers-2.0.html","name":"View Standard","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001196","bsg-s001196"],"name":"FAIRsharing record for: IVOA Identifier","abbreviation":"IVOA Identifier","url":"https://fairsharing.org/10.25504/FAIRsharing.L4Q3H9","doi":"10.25504/FAIRsharing.L4Q3H9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An IVOA Identifier is a globally unique name for a resource within the Virtual Observatory. This name can be used to retrieve a unique description of the resource from an IVOA-compliant registry or to identify an entity like a dataset or a protocol without dereferencing the identifier. This document describes the syntax for IVOA Identifiers as well as how they are created. The syntax has been defined to encourage global-uniqueness naturally and to maximize the freedom of resource providers to control the character content of an identifier.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11487}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Astrophysics and Astronomy"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2955,"pubmed_id":null,"title":"IVOA Identifiers Version 2.0","year":2016,"url":"http://dx.doi.org/10.5479/ADS/bib/2016ivoa.spec.0523D","authors":"Demleitner, Markus; Plante, Raymond; Linde, Tony; Williams, Roy; Noddle, Keith","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.208Z","updated_at":"2021-09-30T08:28:04.208Z"}],"licence_links":[],"grants":[{"id":5496,"fairsharing_record_id":332,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:27:29.383Z","updated_at":"2021-09-30T09:27:29.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5495,"fairsharing_record_id":332,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:29.350Z","updated_at":"2021-09-30T09:27:29.350Z","grant_id":null,"is_lead":true,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"357","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T14:11:13.000Z","updated_at":"2022-07-20T09:29:04.845Z","metadata":{"doi":"10.25504/FAIRsharing.f846bd","name":"CRAM","status":"ready","contacts":[{"contact_name":"James Bonfield","contact_email":"jkb@sanger.ac.uk","contact_orcid":"0000-0002-6447-4112"}],"homepage":"https://www.sanger.ac.uk/science/tools/cram","identifier":357,"description":"CRAM is a sequencing read file format that is highly space efficient by using reference-based compression of sequence data and offers both lossless and lossy modes of compression. Building on early proof-of-principle for reference-based compression (Hsi-Yang Fritz, et al. (2011). Genome Res. 21:734-740), the CRAM format balances usability with compression efficiency.","abbreviation":"CRAM","support_links":[{"url":"https://www.ebi.ac.uk/ena/software/cram-toolkit","name":"EBI's documentation","type":"Help documentation"}],"year_creation":2012,"associated_tools":[{"url":"https://www.ebi.ac.uk/ena/software/cram-reference-registry","name":"CRAM reference registry"}]},"legacy_ids":["bsg-001478","bsg-s001478"],"name":"FAIRsharing record for: CRAM","abbreviation":"CRAM","url":"https://fairsharing.org/10.25504/FAIRsharing.f846bd","doi":"10.25504/FAIRsharing.f846bd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CRAM is a sequencing read file format that is highly space efficient by using reference-based compression of sequence data and offers both lossless and lossy modes of compression. Building on early proof-of-principle for reference-based compression (Hsi-Yang Fritz, et al. (2011). Genome Res. 21:734-740), the CRAM format balances usability with compression efficiency.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18278},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14557},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16916}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["DNA sequence data","Next generation DNA sequencing","High Throughput Screening","RNA sequencing"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":2979,"pubmed_id":21245279,"title":"Efficient storage of high throughput DNA sequencing data using reference-based compression.","year":2011,"url":"http://doi.org/10.1101/gr.114819.110","authors":"Hsi-Yang Fritz M,Leinonen R,Cochrane G,Birney E","journal":"Genome Res","doi":"10.1101/gr.114819.110","created_at":"2021-09-30T08:28:07.090Z","updated_at":"2021-09-30T08:28:07.090Z"},{"id":2980,"pubmed_id":24930138,"title":"The Scramble conversion tool.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu390","authors":"Bonfield JK","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu390","created_at":"2021-09-30T08:28:07.208Z","updated_at":"2021-09-30T08:28:07.208Z"}],"licence_links":[],"grants":[{"id":5525,"fairsharing_record_id":357,"organisation_id":908,"relation":"funds","created_at":"2021-09-30T09:27:30.305Z","updated_at":"2021-09-30T09:27:30.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5526,"fairsharing_record_id":357,"organisation_id":1688,"relation":"maintains","created_at":"2021-09-30T09:27:30.347Z","updated_at":"2021-09-30T09:27:30.347Z","grant_id":null,"is_lead":false,"saved_state":{"id":1688,"name":"Large Scale Genomics Work Streams, Global Alliance for Genomics and Health (GA4GH)","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5527,"fairsharing_record_id":357,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:27:30.385Z","updated_at":"2021-09-30T09:29:00.067Z","grant_id":48,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"098051","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8031,"fairsharing_record_id":357,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:30:31.370Z","updated_at":"2021-09-30T09:30:31.432Z","grant_id":746,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"085532","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"358","type":"fairsharing_records","attributes":{"created_at":"2020-06-29T10:49:31.000Z","updated_at":"2022-07-20T13:20:40.477Z","metadata":{"doi":"10.25504/FAIRsharing.4d969b","name":"GeoJSON","status":"ready","contacts":[{"contact_name":"Sean Gillies","contact_email":"sean.gillies@gmail.com"}],"homepage":"https://geojson.org/","identifier":358,"description":"GeoJSON is a geospatial data interchange format based on JavaScript Object Notation (JSON). It defines several types of JSON objects and the manner in which they are combined to represent data about geographic features, their properties, and their spatial extents. In 2015, the Internet Engineering Task Force (IETF), in conjunction with the original specification authors, formed a GeoJSON WG to standardize GeoJSON. RFC 7946 was published in August 2016 and is the new standard specification of the GeoJSON format, replacing the 2008 GeoJSON specification.","abbreviation":"GeoJSON","support_links":[{"url":"https://en.wikipedia.org/wiki/GeoJSON","name":"GeoJSON Wikipedia Entry","type":"Wikipedia"}],"year_creation":2008},"legacy_ids":["bsg-001503","bsg-s001503"],"name":"FAIRsharing record for: GeoJSON","abbreviation":"GeoJSON","url":"https://fairsharing.org/10.25504/FAIRsharing.4d969b","doi":"10.25504/FAIRsharing.4d969b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeoJSON is a geospatial data interchange format based on JavaScript Object Notation (JSON). It defines several types of JSON objects and the manner in which they are combined to represent data about geographic features, their properties, and their spatial extents. In 2015, the Internet Engineering Task Force (IETF), in conjunction with the original specification authors, formed a GeoJSON WG to standardize GeoJSON. RFC 7946 was published in August 2016 and is the new standard specification of the GeoJSON format, replacing the 2008 GeoJSON specification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":1977,"relation":"undefined"},{"licence_name":"IETF Trust Legal Provisions (TLP)","licence_id":428,"licence_url":"https://trustee.ietf.org/trust-legal-provisions.html","link_id":1976,"relation":"undefined"}],"grants":[{"id":5528,"fairsharing_record_id":358,"organisation_id":1540,"relation":"maintains","created_at":"2021-09-30T09:27:30.423Z","updated_at":"2021-09-30T09:27:30.423Z","grant_id":null,"is_lead":true,"saved_state":{"id":1540,"name":"Internet Engineering Task Force GeoJSON Working Group (IETF GeoJSON WG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"359","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T11:02:02.537Z","metadata":{"doi":"10.25504/FAIRsharing.2ndf9r","name":"PLOS Thesaurus","status":"ready","contacts":[{"contact_name":"PLOS Taxonomy Team","contact_email":"taxonomy@plos.org","contact_orcid":null}],"homepage":"https://github.com/PLOS/plos-thesaurus","citations":[],"identifier":359,"description":"The PLOS Thesaurus includes over 10,000 Subject Area terms covering the wide range of research topics included the PLOS journals. The terms are applied programmatically to publications to aid record search and discovery.","abbreviation":"PLOSTHES","support_links":[],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PLOSTHES","name":"PLOSTHES","portal":"BioPortal"}]},"legacy_ids":["bsg-001016","bsg-s001016"],"name":"FAIRsharing record for: PLOS Thesaurus","abbreviation":"PLOSTHES","url":"https://fairsharing.org/10.25504/FAIRsharing.2ndf9r","doi":"10.25504/FAIRsharing.2ndf9r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PLOS Thesaurus includes over 10,000 Subject Area terms covering the wide range of research topics included the PLOS journals. The terms are applied programmatically to publications to aid record search and discovery.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Publication"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2530,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"333","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-01T11:57:30.911Z","metadata":{"doi":"10.25504/FAIRsharing.vgw1m6","name":"Neuroscience Information Framework Standard Ontology","status":"ready","contacts":[{"contact_name":"Tom Gillespie","contact_email":"tgbugs@gmail.com","contact_orcid":"0000-0002-7509-4801"}],"homepage":"http://ontology.neuinfo.org","citations":[],"identifier":333,"description":"NIF Standard ontology (NIFSTD) is a core component of Neuroscience Information Framework (NIF) project (http://neuinfo.org), a semantically enhanced portal for accessing and integrating neuroscience data, tools and information. NIFSTD includes a set of modular ontologies that provide a comprehensive collection of terminologies to describe neuroscience data and resources.","abbreviation":"NIFSTD","year_creation":2008,"associated_tools":[{"url":"https://github.com/tgbugs/pyontutils","name":"pyontutils"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFSTD","name":"NIFSTD","portal":"BioPortal"}]},"legacy_ids":["bsg-002628","bsg-s002628"],"name":"FAIRsharing record for: Neuroscience Information Framework Standard Ontology","abbreviation":"NIFSTD","url":"https://fairsharing.org/10.25504/FAIRsharing.vgw1m6","doi":"10.25504/FAIRsharing.vgw1m6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIF Standard ontology (NIFSTD) is a core component of Neuroscience Information Framework (NIF) project (http://neuinfo.org), a semantically enhanced portal for accessing and integrating neuroscience data, tools and information. NIFSTD includes a set of modular ontologies that provide a comprehensive collection of terminologies to describe neuroscience data and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","Worldwide"],"publications":[{"id":2620,"pubmed_id":18975148,"title":"The NIFSTD and BIRNLex vocabularies: building comprehensive ontologies for neuroscience.","year":2008,"url":"http://doi.org/10.1007/s12021-008-9032-z","authors":"Bug WJ,Ascoli GA,Grethe JS,Gupta A,Fennema-Notestine C,Laird AR,Larson SD,Rubin D,Shepherd GM,Turner JA,Martone ME","journal":"Neuroinformatics","doi":"10.1007/s12021-008-9032-z","created_at":"2021-09-30T08:27:21.653Z","updated_at":"2021-09-30T08:27:21.653Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1258,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"334","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-22T12:40:24.902Z","metadata":{"doi":"10.25504/FAIRsharing.c9v5sz","name":"Pathway Terminology System","status":"deprecated","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de"}],"homepage":"http://bioportal.bioontology.org/ontologies/PTS","citations":[],"identifier":334,"description":"Pathwas terminology systems integrates biological Events and various Pathway types.","abbreviation":"PTS","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PTS","name":"PTS","portal":"BioPortal"}],"deprecation_date":"2022-07-21","deprecation_reason":"This resource has not been updated since 2015, and the only additional project page we can find reference to (http://scai.fraunhofer.de/PTS) is unavailable."},"legacy_ids":["bsg-000993","bsg-s000993"],"name":"FAIRsharing record for: Pathway Terminology System","abbreviation":"PTS","url":"https://fairsharing.org/10.25504/FAIRsharing.c9v5sz","doi":"10.25504/FAIRsharing.c9v5sz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pathwas terminology systems integrates biological Events and various Pathway types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"335","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T18:45:39.000Z","updated_at":"2022-07-20T12:45:47.194Z","metadata":{"doi":"10.25504/FAIRsharing.esxaaq","name":"Directory Interchange Format","status":"ready","contacts":[{"contact_name":"ESDIS Standards Office","contact_email":"eso-staff@lists.nasa.gov"}],"homepage":"https://earthdata.nasa.gov/esdis/eso/standards-and-references/directory-interchange-format-dif-standard","identifier":335,"description":"Directory Interchange Format (DIF) is a descriptive and standardized format for exchanging information about geospatial data sets. It includes elements focusing on instruments that capture data, temporal and spatial characteristics of the data, and projects with which the dataset is associated. From its inception in the late 1980’s as a way to document and exchange information on scientific data to its implementation in NASA's Global Change Master Directory (GCMD), the DIF has evolved to serve the user community in the discovery, access and use of Earth science and related data. GCMD metadata records are now maintained in the Common Metadata Repository (CMR), and the DIF is one of several supported formats for submitting metadata to CMR. The DIF, the ECHO metadata model, and the ISO 19115 standards for science metadata formed the basis for NASA's Unified Metadata Model (UMM) used by CMR.","abbreviation":"DIF","support_links":[{"url":"https://git.earthdata.nasa.gov/projects/EMFD/repos/dif-schemas/browse/10.x/Brief%20Guide%20DIF%2010_10.2%20update.pdf","name":"User's Guide","type":"Help documentation"}],"year_creation":1987},"legacy_ids":["bsg-000711","bsg-s000711"],"name":"FAIRsharing record for: Directory Interchange Format","abbreviation":"DIF","url":"https://fairsharing.org/10.25504/FAIRsharing.esxaaq","doi":"10.25504/FAIRsharing.esxaaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Directory Interchange Format (DIF) is a descriptive and standardized format for exchanging information about geospatial data sets. It includes elements focusing on instruments that capture data, temporal and spatial characteristics of the data, and projects with which the dataset is associated. From its inception in the late 1980’s as a way to document and exchange information on scientific data to its implementation in NASA's Global Change Master Directory (GCMD), the DIF has evolved to serve the user community in the discovery, access and use of Earth science and related data. GCMD metadata records are now maintained in the Common Metadata Repository (CMR), and the DIF is one of several supported formats for submitting metadata to CMR. The DIF, the ECHO metadata model, and the ISO 19115 standards for science metadata formed the basis for NASA's Unified Metadata Model (UMM) used by CMR.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Natural Science","Earth Science","Atmospheric Science","Oceanography"],"domains":["Resource metadata","Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5497,"fairsharing_record_id":335,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:27:29.407Z","updated_at":"2021-09-30T09:27:29.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5498,"fairsharing_record_id":335,"organisation_id":808,"relation":"maintains","created_at":"2021-09-30T09:27:29.433Z","updated_at":"2021-09-30T09:27:29.433Z","grant_id":null,"is_lead":true,"saved_state":{"id":808,"name":"Earth Science Data and Information System Project (ESDIS), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"527","type":"fairsharing_records","attributes":{"created_at":"2015-11-17T18:06:25.000Z","updated_at":"2022-07-20T09:33:04.041Z","metadata":{"doi":"10.25504/FAIRsharing.27w8k0","name":"The Unified Code for Units of Measure","status":"ready","contacts":[{"contact_name":"Gunther Schadow","contact_email":"schadow_g@regenstrief.iupui.edu"}],"homepage":"https://ucum.org/trac","citations":[],"identifier":527,"description":"The Unified Code for Units of Measure is a code system intended to include all units of measures being contemporarily used in international science, engineering, and business. The purpose is to facilitate unambiguous electronic communication of quantities together with their units. The focus is on electronic communication, as opposed to communication between humans. A typical application of The Unified Code for Units of Measure are electronic data interchange (EDI) protocols, but there is nothing that prevents it from being used in other types of machine communication.","abbreviation":"UCUM","support_links":[{"url":"https://ucum.nlm.nih.gov/example-UCUM-Codes-v1.4.pdf","name":"Examples of UCUM Codes","type":"Help documentation"}],"year_creation":1999,"associated_tools":[{"url":"https://ucum.nlm.nih.gov/ucum-lhc/","name":"ucum-lhc Javascript Library (NLM)"}]},"legacy_ids":["bsg-000626","bsg-s000626"],"name":"FAIRsharing record for: The Unified Code for Units of Measure","abbreviation":"UCUM","url":"https://fairsharing.org/10.25504/FAIRsharing.27w8k0","doi":"10.25504/FAIRsharing.27w8k0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Unified Code for Units of Measure is a code system intended to include all units of measures being contemporarily used in international science, engineering, and business. The purpose is to facilitate unambiguous electronic communication of quantities together with their units. The focus is on electronic communication, as opposed to communication between humans. A typical application of The Unified Code for Units of Measure are electronic data interchange (EDI) protocols, but there is nothing that prevents it from being used in other types of machine communication.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17501},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11034},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16990}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Data identity and mapping","Unit","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":858,"pubmed_id":10094068,"title":"Units of measure in clinical information systems.","year":1999,"url":"http://doi.org/10.1136/jamia.1999.0060151","authors":"Schadow G,McDonald CJ,Suico JG,Fohring U,Tolxdorff T","journal":"J Am Med Inform Assoc","doi":"10.1136/jamia.1999.0060151","created_at":"2021-09-30T08:23:54.798Z","updated_at":"2021-09-30T08:23:54.798Z"}],"licence_links":[{"licence_name":"UCUM Copyright Notice and License","licence_id":804,"licence_url":"https://ucum.org/trac/wiki/TermsOfUse","link_id":709,"relation":"undefined"}],"grants":[{"id":5818,"fairsharing_record_id":527,"organisation_id":2414,"relation":"maintains","created_at":"2021-09-30T09:27:40.052Z","updated_at":"2021-09-30T09:27:40.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2414,"name":"Regenstrief Institute, Inc, Indianapolis, Indiana, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5819,"fairsharing_record_id":527,"organisation_id":2843,"relation":"maintains","created_at":"2021-09-30T09:27:40.088Z","updated_at":"2022-05-23T12:15:25.210Z","grant_id":null,"is_lead":true,"saved_state":{"id":2843,"name":"The Unified Codes for Units of Measures Organization","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"528","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:18.000Z","updated_at":"2023-03-24T09:48:22.065Z","metadata":{"doi":"10.25504/FAIRsharing.yDJci5","name":"FAIR Metrics - Access Protocol","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://raw.githubusercontent.com/FAIRMetrics/Metrics/master/FM_A1.1","citations":[],"identifier":528,"description":"FM-A1.1 provides a metric for the nature and use limitations of the access protocol. Access to a resource may be limited by the specified communication protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource. To fulfil this metric, the following must be provided: i) A URL to the description of the protocol, ii) true/false as to whether the protocol is open source, iii) true/false as to whether the protocol is (royalty) free. This metric applies to part A1.1 of the FAIR Principles.","abbreviation":"FM-A1.1","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001347","bsg-s001347"],"name":"FAIRsharing record for: FAIR Metrics - Access Protocol","abbreviation":"FM-A1.1","url":"https://fairsharing.org/10.25504/FAIRsharing.yDJci5","doi":"10.25504/FAIRsharing.yDJci5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-A1.1 provides a metric for the nature and use limitations of the access protocol. Access to a resource may be limited by the specified communication protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource. To fulfil this metric, the following must be provided: i) A URL to the description of the protocol, ii) true/false as to whether the protocol is open source, iii) true/false as to whether the protocol is (royalty) free. This metric applies to part A1.1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1403,"relation":"undefined"}],"grants":[{"id":5822,"fairsharing_record_id":528,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:40.180Z","updated_at":"2021-09-30T09:27:40.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5820,"fairsharing_record_id":528,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:40.125Z","updated_at":"2021-09-30T09:27:40.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5821,"fairsharing_record_id":528,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:40.154Z","updated_at":"2021-09-30T09:27:40.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5823,"fairsharing_record_id":528,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:40.203Z","updated_at":"2021-09-30T09:27:40.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"529","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-08-30T19:47:50.593Z","metadata":{"doi":"10.25504/FAIRsharing.mgxgza","name":"Ctenophore Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/ctenophore-ontology","citations":[],"identifier":529,"description":"An anatomical and developmental ontology for ctenophores (Comb Jellies). Please note that, while available, this ontology has not been updated since 2016.","abbreviation":"CTENO","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTENO","name":"CTENO","portal":"BioPortal"},{"url":"https://github.com/obophenotype/ctenophore-ontology","name":"OBO Foundry - cteno","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000748","bsg-s000748"],"name":"FAIRsharing record for: Ctenophore Ontology","abbreviation":"CTENO","url":"https://fairsharing.org/10.25504/FAIRsharing.mgxgza","doi":"10.25504/FAIRsharing.mgxgza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An anatomical and developmental ontology for ctenophores (Comb Jellies). Please note that, while available, this ontology has not been updated since 2016.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":[],"taxonomies":["Ctenophora"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2773,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"531","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:08.518Z","metadata":{"doi":"10.25504/FAIRsharing.jmg2st","name":"Neuroscience Information Framework Cell","status":"ready","contacts":[{"contact_name":"Fahim Imam","contact_email":"curation@neuinfo.org"}],"homepage":"https://neuinfo.org/about/nifvocabularies","identifier":531,"description":"NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources.","abbreviation":"NIFCELL","support_links":[{"url":"http://blog.neuinfo.org","type":"Blog/News"},{"url":"https://neuinfo.org/about/help/401","type":"Frequently Asked Questions (FAQs)"},{"url":"https://neuinfo.org","type":"Help documentation"},{"url":"https://twitter.com/neuinfo","type":"Twitter"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFCELL","name":"NIFCELL","portal":"BioPortal"}]},"legacy_ids":["bsg-000124","bsg-s000124"],"name":"FAIRsharing record for: Neuroscience Information Framework Cell","abbreviation":"NIFCELL","url":"https://fairsharing.org/10.25504/FAIRsharing.jmg2st","doi":"10.25504/FAIRsharing.jmg2st","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Life Science","Neuroscience"],"domains":["Cell","Neuron","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5825,"fairsharing_record_id":531,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:40.261Z","updated_at":"2021-09-30T09:27:40.261Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5826,"fairsharing_record_id":531,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:40.286Z","updated_at":"2021-09-30T09:27:40.286Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11532,"fairsharing_record_id":531,"organisation_id":2144,"relation":"maintains","created_at":"2024-03-21T13:58:08.456Z","updated_at":"2024-03-21T13:58:08.456Z","grant_id":null,"is_lead":false,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"532","type":"fairsharing_records","attributes":{"created_at":"2016-01-25T02:38:46.000Z","updated_at":"2024-01-23T13:00:12.260Z","metadata":{"doi":"10.25504/FAIRsharing.y3mwym","name":"Numerical Markup Language","status":"ready","contacts":[{"contact_name":"NuML discussion group","contact_email":"numl-discuss@googlegroups.com"}],"homepage":"https://github.com/numl/numl","identifier":532,"description":"The Numerical Markup Language (NuML) (pronounce \"neumeul\" and not \"new em el\", that sounds like NewML) is a simple XML format to exchange multidimensional arrays of numbers to be used with model and simulation descriptions. NuML was initially developed as part of the Systems Biology Results Markup Language (SBRML).","abbreviation":"NuML","support_links":[{"url":"http://groups.google.com/group/numl-discuss/","name":"Discussion Mailing List","type":"Mailing list"}],"year_creation":2011,"associated_tools":[{"url":"https://github.com/NuML/NuML/tree/master/libnuml","name":"libNUML"}]},"legacy_ids":["bsg-000638","bsg-s000638"],"name":"FAIRsharing record for: Numerical Markup Language","abbreviation":"NuML","url":"https://fairsharing.org/10.25504/FAIRsharing.y3mwym","doi":"10.25504/FAIRsharing.y3mwym","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Numerical Markup Language (NuML) (pronounce \"neumeul\" and not \"new em el\", that sounds like NewML) is a simple XML format to exchange multidimensional arrays of numbers to be used with model and simulation descriptions. NuML was initially developed as part of the Systems Biology Results Markup Language (SBRML).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12064},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16942}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Biology","Computer Science","Systems Biology"],"domains":["Mathematical model","Reaction data","Kinetic model","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":11205,"fairsharing_record_id":532,"organisation_id":584,"relation":"associated_with","created_at":"2024-01-15T09:26:16.841Z","updated_at":"2024-01-15T09:26:16.841Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11206,"fairsharing_record_id":532,"organisation_id":2539,"relation":"maintains","created_at":"2024-01-15T09:26:16.851Z","updated_at":"2024-01-15T09:26:16.851Z","grant_id":null,"is_lead":true,"saved_state":{"id":2539,"name":"SED-ML editors","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"512","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-30T13:57:42.296Z","metadata":{"doi":"10.25504/FAIRsharing.6hna78","name":"Exposure Ontology","status":"ready","contacts":[{"contact_name":"Anne Thessen","contact_email":"annethessen@gmail.com","contact_orcid":null}],"homepage":"https://github.com/CTDbase/exposure-ontology","citations":[],"identifier":512,"description":"Exposure Ontology (ExO) is designed to facilitate the centralization and integration of exposure data to inform understanding of environmental health. ExO is intended to bridge the gap between exposure science and diverse environmental health disciplines including toxicology, epidemiology, disease surveillance, and epigenetics.","abbreviation":"ExO","support_links":[{"url":"https://github.com/CTDbase/exposure-ontology","name":"GitHub repository","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EXO","name":"EXO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/exo.html","name":"exo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002707","bsg-s002707"],"name":"FAIRsharing record for: Exposure Ontology","abbreviation":"ExO","url":"https://fairsharing.org/10.25504/FAIRsharing.6hna78","doi":"10.25504/FAIRsharing.6hna78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Exposure Ontology (ExO) is designed to facilitate the centralization and integration of exposure data to inform understanding of environmental health. ExO is intended to bridge the gap between exposure science and diverse environmental health disciplines including toxicology, epidemiology, disease surveillance, and epigenetics.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10855}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Epigenetics","Toxicology"],"domains":["Disease","Exposure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":898,"pubmed_id":22324457,"title":"Providing the missing link: the exposure science ontology ExO.","year":2012,"url":"http://doi.org/10.1021/es2033857","authors":"Mattingly CJ,McKone TE,Callahan MA,Blake JA,Hubal EA","journal":"Environ Sci Technol","doi":"10.1021/es2033857","created_at":"2021-09-30T08:23:59.221Z","updated_at":"2021-09-30T08:23:59.221Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3615,"relation":"applies_to_content"}],"grants":[{"id":5776,"fairsharing_record_id":512,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:38.752Z","updated_at":"2021-09-30T09:27:38.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11755,"fairsharing_record_id":512,"organisation_id":4358,"relation":"maintains","created_at":"2024-04-30T13:53:41.645Z","updated_at":"2024-04-30T13:53:41.645Z","grant_id":null,"is_lead":true,"saved_state":{"id":4358,"name":"North Carolina State University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"513","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2023-02-28T10:00:47.105Z","metadata":{"doi":"10.25504/FAIRsharing.j0fa1d","name":"Mouse Developmental Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Terry Hamayizu","contact_email":"Terry.Hayamizu@jax.org"}],"homepage":"https://www.informatics.jax.org/vocab/gxd/anatomy","citations":[],"identifier":513,"description":"The ontology of mouse developmental anatomy was originally developed by Jonathan Bard and his colleagues as part of the Edinburgh Mouse Atlas Project (EMAP) in order to provide a structured controlled vocabulary of stage-specific anatomical structures for the developing laboratory mouse.\n\nInitial versions listed anatomical entities for each developmental stage (Theiler Stages 1 through 26) separately. Stage-specific instances were presented as uniparental hierarchies organized solely using part-of relationships (i.e. as a strict partonomy). An ‘abstract’ (i.e. non-stage-specific) representation of the mouse developmental anatomy ontology was subsequently developed.\n\nThe mouse developmental anatomy ontology has been substantially extended and refined over many years in a collaborative effort between EMAP and the Gene Expression Database (GXD) project, part of the Mouse Genome Informatics (MGI) resource at The Jackson Laboratory. The ontology continues to be maintained and expanded by GXD.","abbreviation":"EMAPA","support_links":[{"url":"https://github.com/obophenotype/mouse-anatomy-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EMAPA","name":"EMAPA","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/emapa.html","name":"EMAPA in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000738","bsg-s000738"],"name":"FAIRsharing record for: Mouse Developmental Anatomy Ontology","abbreviation":"EMAPA","url":"https://fairsharing.org/10.25504/FAIRsharing.j0fa1d","doi":"10.25504/FAIRsharing.j0fa1d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of mouse developmental anatomy was originally developed by Jonathan Bard and his colleagues as part of the Edinburgh Mouse Atlas Project (EMAP) in order to provide a structured controlled vocabulary of stage-specific anatomical structures for the developing laboratory mouse.\n\nInitial versions listed anatomical entities for each developmental stage (Theiler Stages 1 through 26) separately. Stage-specific instances were presented as uniparental hierarchies organized solely using part-of relationships (i.e. as a strict partonomy). An ‘abstract’ (i.e. non-stage-specific) representation of the mouse developmental anatomy ontology was subsequently developed.\n\nThe mouse developmental anatomy ontology has been substantially extended and refined over many years in a collaborative effort between EMAP and the Gene Expression Database (GXD) project, part of the Mouse Genome Informatics (MGI) resource at The Jackson Laboratory. The ontology continues to be maintained and expanded by GXD.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":[],"taxonomies":["Mus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2653,"pubmed_id":23972281,"title":"EMAP/EMAPA ontology of mouse developmental anatomy: 2013 update.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-15","authors":"Hayamizu TF,Wicks MN,Davidson DR,Burger A,Ringwald M,Baldock RA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-15","created_at":"2021-09-30T08:27:25.797Z","updated_at":"2021-09-30T08:27:25.797Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3097,"relation":"applies_to_content"}],"grants":[{"id":10367,"fairsharing_record_id":513,"organisation_id":2792,"relation":"maintains","created_at":"2023-02-21T09:40:07.255Z","updated_at":"2023-02-21T09:40:07.255Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"514","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-01-07T20:53:38.699Z","metadata":{"doi":"10.25504/FAIRsharing.d62cjk","name":"Bilingual Ontology of Alzheimer's Disease and Related Diseases","status":"deprecated","contacts":[],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOAD","citations":[],"identifier":514,"description":"OntoAD is a bilingual (English-French) domain ontology for modeling knowledge about Alzheimer's Disease and Related Syndromes.","abbreviation":"ONTOAD","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOAD","name":"ONTOAD","portal":"BioPortal"}],"deprecation_date":"2022-01-07","deprecation_reason":"This resource has not been updated since 2013, and an active homepage cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000739","bsg-s000739"],"name":"FAIRsharing record for: Bilingual Ontology of Alzheimer's Disease and Related Diseases","abbreviation":"ONTOAD","url":"https://fairsharing.org/10.25504/FAIRsharing.d62cjk","doi":"10.25504/FAIRsharing.d62cjk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoAD is a bilingual (English-French) domain ontology for modeling knowledge about Alzheimer's Disease and Related Syndromes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Alzheimer’s disease"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"515","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-01-28T16:50:28.448Z","metadata":{"doi":"10.25504/FAIRsharing.vekcbe","name":"HIVOntologymain.owl","status":"deprecated","contacts":[{"contact_name":"Hanfei Bao","contact_email":"hanfeib@gmail.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/HIVO004","citations":[],"identifier":515,"description":"This ontology does not appear to have a project homepage, and complete metadata cannot be found. Please get in touch with us if you have any information.","abbreviation":"HIVO004","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HIVO004","name":"HIVO004","portal":"BioPortal"}],"deprecation_date":"2022-01-21","deprecation_reason":"This ontology does not appear to have a project homepage, and complete metadata cannot be found."},"legacy_ids":["bsg-000740","bsg-s000740"],"name":"FAIRsharing record for: HIVOntologymain.owl","abbreviation":"HIVO004","url":"https://fairsharing.org/10.25504/FAIRsharing.vekcbe","doi":"10.25504/FAIRsharing.vekcbe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology does not appear to have a project homepage, and complete metadata cannot be found. Please get in touch with us if you have any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine","Virology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"516","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:56.517Z","metadata":{"doi":"10.25504/FAIRsharing.294d6","name":"Graph Markup Language","status":"ready","contacts":[{"contact_name":"Ulrik Brandes","contact_email":"Ulrik.Brandes@uni-konstanz.de"}],"homepage":"http://graphml.graphdrawing.org/specification.html","identifier":516,"description":"GraphML is a comprehensive and easy-to-use file format for graphs. It consists of a language core to describe the structural properties of a graph and a flexible extension mechanism to add application-specific data.","abbreviation":"graphML","support_links":[{"url":"http://graphml.graphdrawing.org/primer/graphml-primer.html","name":"GraphML Primer","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-000286","bsg-s000286"],"name":"FAIRsharing record for: Graph Markup Language","abbreviation":"graphML","url":"https://fairsharing.org/10.25504/FAIRsharing.294d6","doi":"10.25504/FAIRsharing.294d6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GraphML is a comprehensive and easy-to-use file format for graphs. It consists of a language core to describe the structural properties of a graph and a flexible extension mechanism to add application-specific data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Graph"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":833,"relation":"undefined"}],"grants":[{"id":5778,"fairsharing_record_id":516,"organisation_id":1200,"relation":"maintains","created_at":"2021-09-30T09:27:38.801Z","updated_at":"2021-09-30T09:27:38.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":1200,"name":"GraphML Project Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"533","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:18:04.000Z","updated_at":"2022-11-01T11:57:55.414Z","metadata":{"doi":"10.25504/FAIRsharing.fsB7NK","name":"FAIR Metrics - Accessible Usage License","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_R1.1","citations":[],"identifier":533,"description":"FM-R1.1 is a metric concerned with the existence of a license document, for BOTH (independently) the data and its associated metadata, and the ability to retrieve those documents. A core aspect of data reusability is the ability to determine, unambiguously and with relative ease, the conditions under which (meta)data may be reused. Thus, FAIR data providers must make these terms openly available. This applies both to data (e.g. for the purpose of third-party integration with other data) and for metadata (e.g. for the purpose of third-party indexing or other administrative metrics). The IRI of the license (e.g. its URL) for the data license and for the metadata license must be provided. This metric applies to part R1.1 of the FAIR Principles.","abbreviation":"FM-R1.1","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001353","bsg-s001353"],"name":"FAIRsharing record for: FAIR Metrics - Accessible Usage License","abbreviation":"FM-R1.1","url":"https://fairsharing.org/10.25504/FAIRsharing.fsB7NK","doi":"10.25504/FAIRsharing.fsB7NK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-R1.1 is a metric concerned with the existence of a license document, for BOTH (independently) the data and its associated metadata, and the ability to retrieve those documents. A core aspect of data reusability is the ability to determine, unambiguously and with relative ease, the conditions under which (meta)data may be reused. Thus, FAIR data providers must make these terms openly available. This applies both to data (e.g. for the purpose of third-party integration with other data) and for metadata (e.g. for the purpose of third-party indexing or other administrative metrics). The IRI of the license (e.g. its URL) for the data license and for the metadata license must be provided. This metric applies to part R1.1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1404,"relation":"undefined"}],"grants":[{"id":5828,"fairsharing_record_id":533,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:40.338Z","updated_at":"2021-09-30T09:27:40.338Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5827,"fairsharing_record_id":533,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:40.313Z","updated_at":"2021-09-30T09:27:40.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5829,"fairsharing_record_id":533,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:40.362Z","updated_at":"2021-09-30T09:27:40.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5830,"fairsharing_record_id":533,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:40.387Z","updated_at":"2021-09-30T09:27:40.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"535","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-17T09:07:05.975Z","metadata":{"doi":"10.25504/FAIRsharing.vppyga","name":"Non-coding RNA Ontology","status":"ready","contacts":[{"contact_name":"Jingshan Huang","contact_email":"huang@southalabama.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/NCRO","citations":[],"identifier":535,"description":"The NCRO is a reference ontology in the non-coding RNA (ncRNA) field, aiming to provide a common set of terms and relations that will facilitate the curation, analysis, exchange, sharing, and management of ncRNA structural, functional, and sequence data.","abbreviation":"NCRO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCRO","name":"Bioportal: NCRO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/ncro","name":"OLS: ncro","portal":"OLS"}]},"legacy_ids":["bsg-000752","bsg-s000752"],"name":"FAIRsharing record for: Non-coding RNA Ontology","abbreviation":"NCRO","url":"https://fairsharing.org/10.25504/FAIRsharing.vppyga","doi":"10.25504/FAIRsharing.vppyga","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCRO is a reference ontology in the non-coding RNA (ncRNA) field, aiming to provide a common set of terms and relations that will facilitate the curation, analysis, exchange, sharing, and management of ncRNA structural, functional, and sequence data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Non-coding RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3803,"pubmed_id":null,"title":"The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology","year":2016,"url":"http://dx.doi.org/10.1186/s13326-016-0066-0","authors":"Huang, Jingshan; Eilbeck, Karen; Smith, Barry; Blake, Judith A.; Dou, Dejing; Huang, Weili; Natale, Darren A.; Ruttenberg, Alan; Huan, Jun; Zimmermann, Michael T.; Jiang, Guoqian; Lin, Yu; Wu, Bin; Strachan, Harrison J.; He, Yongqun; Zhang, Shaojie; Wang, Xiaowei; Liu, Zixing; Borchert, Glen M.; Tan, Ming; ","journal":"J Biomed Semant","doi":"10.1186/s13326-016-0066-0","created_at":"2023-03-17T09:03:42.976Z","updated_at":"2023-03-17T09:03:42.976Z"}],"licence_links":[],"grants":[{"id":10425,"fairsharing_record_id":535,"organisation_id":3121,"relation":"undefined","created_at":"2023-03-17T09:04:35.617Z","updated_at":"2023-03-17T09:04:35.617Z","grant_id":null,"is_lead":false,"saved_state":{"id":3121,"name":"University of South Alabama, USA","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"536","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-01-06T10:27:01.172Z","metadata":{"doi":"10.25504/FAIRsharing.gd8hqn","name":"Molgula occidentalis Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself.communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"http://www.aniseed.cnrs.fr/","citations":[],"identifier":536,"description":"The first ontology describing the anatomy and the development of Molgula occidentalis.","abbreviation":"MOOCCIADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOOCCIADO","name":"MOOCCIADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000753","bsg-s000753"],"name":"FAIRsharing record for: Molgula occidentalis Anatomy and Development Ontology","abbreviation":"MOOCCIADO","url":"https://fairsharing.org/10.25504/FAIRsharing.gd8hqn","doi":"10.25504/FAIRsharing.gd8hqn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Molgula occidentalis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Molgula occidentalis"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"537","type":"fairsharing_records","attributes":{"created_at":"2021-01-22T11:15:13.000Z","updated_at":"2022-07-20T12:22:08.024Z","metadata":{"name":"Ontology of the amphioxus anatomy and life cycle","status":"in_development","contacts":[{"contact_name":"Hector Escriva","contact_email":"hector.escriva@obs-banyuls.fr","contact_orcid":"0000-0001-7577-5028"}],"homepage":"https://github.com/EBISPOT/amphx_ontology","identifier":537,"description":"The ontology of the amphioxus anatomy and life cycle is the first ontology for the development and anatomy of Amphioxus (Branchiostoma lanceolatum).","abbreviation":"AMPHX","year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AMPHX","name":"AMPHX","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/amphx.html","name":"amphx","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001582","bsg-s001582"],"name":"FAIRsharing record for: Ontology of the amphioxus anatomy and life cycle","abbreviation":"AMPHX","url":"https://fairsharing.org/fairsharing_records/537","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of the amphioxus anatomy and life cycle is the first ontology for the development and anatomy of Amphioxus (Branchiostoma lanceolatum).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Branchiostoma lanceolatum"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":5831,"fairsharing_record_id":537,"organisation_id":261,"relation":"maintains","created_at":"2021-09-30T09:27:40.413Z","updated_at":"2021-09-30T09:27:40.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":261,"name":"Biologie Intégrative des Organismes Marins, Observatoire Océanologique, CNRS, Banyuls-sur-Mer, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"507","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:27.000Z","updated_at":"2024-03-21T13:58:59.978Z","metadata":{"doi":"10.25504/FAIRsharing.vnfaxd","name":"LINCS Pilot Phase 1 Metadata Standards: Other Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":507,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories.","abbreviation":"LINCS 1: Other Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_OtherReagents_Metadata_Release_Nov-07-12.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Other Reagents standard (https://biosharing.org/bsg-s000658) and as such has been superseded by this standard."},"legacy_ids":["bsg-000661","bsg-s000661"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Other Reagents","abbreviation":"LINCS 1: Other Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.vnfaxd","doi":"10.25504/FAIRsharing.vnfaxd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11895}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5769,"fairsharing_record_id":507,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.473Z","updated_at":"2021-09-30T09:27:38.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11567,"fairsharing_record_id":507,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:59.895Z","updated_at":"2024-03-21T13:58:59.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"508","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:42.000Z","updated_at":"2024-03-21T13:59:00.327Z","metadata":{"doi":"10.25504/FAIRsharing.5gw25t","name":"LINCS Pilot Phase 1 Metadata Standards: Protein Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":508,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. A standardized description of protein reagents is critical to link results of different LINCS assay types.","abbreviation":"LINCS 1: Protein Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_ProteinReagents_Metadata_Release_Jul-31-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Protein Reagents standard (https://biosharing.org/bsg-s000656) and as such has been superseded by this standard."},"legacy_ids":["bsg-000666","bsg-s000666"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Protein Reagents","abbreviation":"LINCS 1: Protein Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.5gw25t","doi":"10.25504/FAIRsharing.5gw25t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. A standardized description of protein reagents is critical to link results of different LINCS assay types.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11894}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5771,"fairsharing_record_id":508,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.548Z","updated_at":"2021-09-30T09:27:38.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11568,"fairsharing_record_id":508,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:00.157Z","updated_at":"2024-03-21T13:59:00.157Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"509","type":"fairsharing_records","attributes":{"created_at":"2021-01-11T11:46:38.000Z","updated_at":"2022-07-20T09:36:05.214Z","metadata":{"doi":"10.25504/FAIRsharing.db1fb2","name":"Observations Data Model 2 Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Jeffery S. Horsburgh","contact_email":"jeff.horsburgh@usu.edu"}],"homepage":"http://vocabulary.odm2.org/","citations":[],"identifier":509,"description":"Version 2 of the Observations Data Model (ODM2) has several controlled vocabularies. This web page was developed to promote consistency between different instances of ODM2 through a community moderated system for managing the master controlled vocabularies. This web page displays the master controlled vocabulary entries and allows you to request additions or changes to these. You may then use these terms in an ODM2 database or in files that are intended to be interoperable with ODM2.","abbreviation":"ODM2 CV","support_links":[{"url":"https://github.com/ODM2/ODM2ControlledVocabularies","name":"GitHub Project","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-001574","bsg-s001574"],"name":"FAIRsharing record for: Observations Data Model 2 Controlled Vocabulary","abbreviation":"ODM2 CV","url":"https://fairsharing.org/10.25504/FAIRsharing.db1fb2","doi":"10.25504/FAIRsharing.db1fb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Version 2 of the Observations Data Model (ODM2) has several controlled vocabularies. This web page was developed to promote consistency between different instances of ODM2 through a community moderated system for managing the master controlled vocabularies. This web page displays the master controlled vocabulary entries and allows you to request additions or changes to these. You may then use these terms in an ODM2 database or in files that are intended to be interoperable with ODM2.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12132}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geochemistry","Hydrogeology","Geology","Biodiversity","Oceanography","Hydrology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5772,"fairsharing_record_id":509,"organisation_id":2225,"relation":"maintains","created_at":"2021-09-30T09:27:38.587Z","updated_at":"2021-09-30T09:27:38.587Z","grant_id":null,"is_lead":true,"saved_state":{"id":2225,"name":"ODM2 Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5773,"fairsharing_record_id":509,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:38.618Z","updated_at":"2021-09-30T09:31:34.727Z","grant_id":1233,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1332257","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8450,"fairsharing_record_id":509,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:41.534Z","updated_at":"2021-09-30T09:32:41.581Z","grant_id":1735,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1224638","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"510","type":"fairsharing_records","attributes":{"created_at":"2020-05-28T09:48:41.000Z","updated_at":"2022-07-20T12:22:07.535Z","metadata":{"doi":"10.25504/FAIRsharing.pyhdJS","name":"BioTopLite 2","status":"ready","contacts":[{"contact_name":"Stefan Schulz","contact_email":"stefan.schulz@medunigraz.at"}],"homepage":"http://biotopontology.github.io/","citations":[{"publication_id":990}],"identifier":510,"description":"BioTopLite 2 (BTL2) is a simplified, high-level version of BioTop, a top-domain ontology that provides definitions for the foundational entities of biomedicine. BioTop imports BTL2 as its upper-level ontology.","abbreviation":"BTL2","support_links":[{"url":"https://github.com/BioTopOntology/biotop/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-001486","bsg-s001486"],"name":"FAIRsharing record for: BioTopLite 2","abbreviation":"BTL2","url":"https://fairsharing.org/10.25504/FAIRsharing.pyhdJS","doi":"10.25504/FAIRsharing.pyhdJS","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioTopLite 2 (BTL2) is a simplified, high-level version of BioTop, a top-domain ontology that provides definitions for the foundational entities of biomedicine. BioTop imports BTL2 as its upper-level ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":990,"pubmed_id":null,"title":"BioTopLite: An Upper Level Ontology for the Life Sciences. Evolution, Design and Application","year":2013,"url":"http://biotopontology.github.io/papers/Schulz,%20Boeker%20-%202013%20-%20BioTopLite%20An%20Upper%20Level%20Ontology%20for%20the%20Life%20Sciences.%20Evolution,%20Design%20and%20Application.pdf","authors":"Stefan Schulz, Martin Boeker","journal":"Furbach U, Staab S, eds. Informatik 2013. Koblenz: IOS Press; 2013.","doi":null,"created_at":"2021-09-30T08:24:09.580Z","updated_at":"2021-09-30T08:24:09.580Z"},{"id":2982,"pubmed_id":28423831,"title":"The BioTop Family of Upper Level Ontological Resources for Biomedicine.","year":2017,"url":"https://www.ncbi.nlm.nih.gov/pubmed/28423831","authors":"Schulz S,Boeker M,Martinez-Costa C","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:28:07.441Z","updated_at":"2021-09-30T08:28:07.441Z"}],"licence_links":[],"grants":[{"id":5774,"fairsharing_record_id":510,"organisation_id":1386,"relation":"maintains","created_at":"2021-09-30T09:27:38.682Z","updated_at":"2021-09-30T09:27:38.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":1386,"name":"Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5775,"fairsharing_record_id":510,"organisation_id":722,"relation":"maintains","created_at":"2021-09-30T09:27:38.720Z","updated_at":"2021-09-30T09:27:38.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":722,"name":"Department of Medical Biometry and Medical Informatics, University of Freiburg, Freiburg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"511","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-01-05T14:18:54.365Z","metadata":{"doi":"10.25504/FAIRsharing.xmmsmr","name":"Epigenome Ontology","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunhe@med.umich.edu"}],"homepage":"https://github.com/EGO-ontology","citations":[],"identifier":511,"description":"The Epigenome Ontology (EGO) a biomedical ontology for integrative epigenome knowledge representation and data analysis.","abbreviation":"EGO","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EGO","name":"EGO","portal":"BioPortal"}]},"legacy_ids":["bsg-000735","bsg-s000735"],"name":"FAIRsharing record for: Epigenome Ontology","abbreviation":"EGO","url":"https://fairsharing.org/10.25504/FAIRsharing.xmmsmr","doi":"10.25504/FAIRsharing.xmmsmr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epigenome Ontology (EGO) a biomedical ontology for integrative epigenome knowledge representation and data analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Epigenomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2548,"relation":"applies_to_content"}],"grants":[{"id":8670,"fairsharing_record_id":511,"organisation_id":1230,"relation":"maintains","created_at":"2022-01-05T14:08:10.127Z","updated_at":"2022-01-05T14:08:10.127Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"519","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-12-23T08:40:57.631Z","metadata":{"doi":"10.25504/FAIRsharing.hw5gr6","name":"Regional Healthcare System Interoperability and Information Exchange Measurement Ontology","status":"ready","contacts":[{"contact_name":"Lingkai Zhu","contact_email":"l49zhu@uwaterloo.ca"}],"homepage":"http://bioportal.bioontology.org/ontologies/HEIO","citations":[],"identifier":519,"description":"The purpose of this ontology is to develop a model for regional healthcare system interoperability and information exchange quantification (measured by the electronic health information exchange (eHIE) indicator). The eHIE is hypothesized as a leading measure of regional healthcare system integration. A publication associated with this ontology is currently under review.","abbreviation":"HEIO","support_links":[{"url":"jmcmurray@wlu.ca","name":"Josephine McMurray","type":"Support email"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HEIO","name":"HEIO","portal":"BioPortal"}]},"legacy_ids":["bsg-000734","bsg-s000734"],"name":"FAIRsharing record for: Regional Healthcare System Interoperability and Information Exchange Measurement Ontology","abbreviation":"HEIO","url":"https://fairsharing.org/10.25504/FAIRsharing.hw5gr6","doi":"10.25504/FAIRsharing.hw5gr6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of this ontology is to develop a model for regional healthcare system interoperability and information exchange quantification (measured by the electronic health information exchange (eHIE) indicator). The eHIE is hypothesized as a leading measure of regional healthcare system integration. A publication associated with this ontology is currently under review.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Data Management","Medical Informatics"],"domains":["Hospital"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"520","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:38.059Z","metadata":{"doi":"10.25504/FAIRsharing.8eh6er","name":"Minimal Information for Mouse Phenotyping Procedures","status":"in_development","contacts":[{"contact_name":"IMPC","contact_email":"wranglers@mousephenotype.org"}],"homepage":"http://www.mousephenotype.org/impress","identifier":520,"description":"MIMPP is a reporting guideline for the minimum information that should be reported about a mouse phenotyping procedure to enable unambiguous interpretation and comparison of the data and to allow the data to be shared through communal resources.","abbreviation":"MIMPP","year_creation":2007},"legacy_ids":["bsg-000192","bsg-s000192"],"name":"FAIRsharing record for: Minimal Information for Mouse Phenotyping Procedures","abbreviation":"MIMPP","url":"https://fairsharing.org/10.25504/FAIRsharing.8eh6er","doi":"10.25504/FAIRsharing.8eh6er","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIMPP is a reporting guideline for the minimum information that should be reported about a mouse phenotyping procedure to enable unambiguous interpretation and comparison of the data and to allow the data to be shared through communal resources.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11605},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12107}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Assay","Phenotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2502,"pubmed_id":17436037,"title":"Mouse Phenotype Database Integration Consortium: integration [corrected] of mouse phenome data resources.","year":2007,"url":"http://doi.org/10.1007/s00335-007-9004-x","authors":"Hancock JM,Adams NC,Aidinis V,Blake A,Bogue M,Brown SD,Chesler EJ,Davidson D,Duran C,Eppig JT,Gailus-Durner V,Gates H,Gkoutos GV,Greenaway S,Hrabe de Angelis M,Kollias G,Leblanc S,Lee K,Lengger C,Maier H,Mallon AM,Masuya H,Melvin DG,Muller W,Parkinson H,Proctor G,Reuveni E,Schofield P,Shukla A,Smith C,Toyoda T,Vasseur L,Wakana S,Walling A,White J,Wood J,Zouberakis M","journal":"Mamm Genome","doi":"10.1007/s00335-007-9004-x","created_at":"2021-09-30T08:27:06.977Z","updated_at":"2021-09-30T08:27:06.977Z"}],"licence_links":[],"grants":[{"id":5783,"fairsharing_record_id":520,"organisation_id":2354,"relation":"funds","created_at":"2021-09-30T09:27:38.926Z","updated_at":"2021-09-30T09:32:31.630Z","grant_id":1660,"is_lead":false,"saved_state":{"id":2354,"name":"PRIME, European Commission","grant":"LSHG-CT-2005-005283","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5781,"fairsharing_record_id":520,"organisation_id":1501,"relation":"maintains","created_at":"2021-09-30T09:27:38.876Z","updated_at":"2021-09-30T09:27:38.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":1501,"name":"International Mouse Phenotyping Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5782,"fairsharing_record_id":520,"organisation_id":896,"relation":"funds","created_at":"2021-09-30T09:27:38.901Z","updated_at":"2021-09-30T09:32:32.963Z","grant_id":1669,"is_lead":false,"saved_state":{"id":896,"name":"EUMORPHIA, European Commission","grant":"QLG2-CT-2002-00930","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"521","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:07:54.000Z","updated_at":"2022-04-11T12:07:34.365Z","metadata":{"doi":"10.25504/FAIRsharing.3mtaee","name":"Open Archives Initiative Object Reuse and Exchange","status":"ready","contacts":[{"contact_email":"openarchives-l@cornell.edu"}],"homepage":"http://www.openarchives.org/ore/","identifier":521,"description":"Open Archives Initiative develops and promotes interoperability standards that aim to facilitate the efficient dissemination of content; OAI has its roots in the open access and institutional repository movements. The OAI-ORE is a standard for the description and exchange of compound digital objects (e.g. distributed resources with multiple media types including text, images, data, and video), to expose the rich content in these aggregations to applications that support authoring, deposit, exchange, visualization, reuse, and preservation. The intent of the effort is to develop standards that generalize across all web-based information including the increasing popular social networks of “web 2.0”.","abbreviation":"OAI-ORE","support_links":[{"url":"http://www.openarchives.org/ore/1.0/primer","name":"OAI-ORE Primer","type":"Help documentation"},{"url":"http://www.openarchives.org/ore/1.0/tools","name":"Tools and Additional Resources","type":"Help documentation"},{"url":"http://www.openarchives.org/ore/community/","name":"OAI-ORE Community Information","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000703","bsg-s000703"],"name":"FAIRsharing record for: Open Archives Initiative Object Reuse and Exchange","abbreviation":"OAI-ORE","url":"https://fairsharing.org/10.25504/FAIRsharing.3mtaee","doi":"10.25504/FAIRsharing.3mtaee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Archives Initiative develops and promotes interoperability standards that aim to facilitate the efficient dissemination of content; OAI has its roots in the open access and institutional repository movements. The OAI-ORE is a standard for the description and exchange of compound digital objects (e.g. distributed resources with multiple media types including text, images, data, and video), to expose the rich content in these aggregations to applications that support authoring, deposit, exchange, visualization, reuse, and preservation. The intent of the effort is to develop standards that generalize across all web-based information including the increasing popular social networks of “web 2.0”.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Social Science","Social and Behavioural Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5784,"fairsharing_record_id":521,"organisation_id":2512,"relation":"maintains","created_at":"2021-09-30T09:27:38.951Z","updated_at":"2021-09-30T09:27:38.951Z","grant_id":null,"is_lead":false,"saved_state":{"id":2512,"name":"School of Information, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5789,"fairsharing_record_id":521,"organisation_id":95,"relation":"funds","created_at":"2021-09-30T09:27:39.077Z","updated_at":"2021-09-30T09:27:39.077Z","grant_id":null,"is_lead":false,"saved_state":{"id":95,"name":"Andrew W. Mellon Foundation, New York, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5787,"fairsharing_record_id":521,"organisation_id":761,"relation":"maintains","created_at":"2021-09-30T09:27:39.027Z","updated_at":"2021-09-30T09:27:39.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":761,"name":"Digital Library Research \u0026 Prototyping, Los Alamos National Laboratory, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5786,"fairsharing_record_id":521,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:39.001Z","updated_at":"2021-09-30T09:29:37.495Z","grant_id":331,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IIS-9817416","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5788,"fairsharing_record_id":521,"organisation_id":613,"relation":"maintains","created_at":"2021-09-30T09:27:39.051Z","updated_at":"2021-09-30T09:27:39.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":613,"name":"Cornell University Library, Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5790,"fairsharing_record_id":521,"organisation_id":542,"relation":"funds","created_at":"2021-09-30T09:27:39.109Z","updated_at":"2021-09-30T09:27:39.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":542,"name":"Coalition for Networked Information","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5791,"fairsharing_record_id":521,"organisation_id":760,"relation":"funds","created_at":"2021-09-30T09:27:39.135Z","updated_at":"2021-09-30T09:27:39.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":760,"name":"Digital Library Federation","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8041,"fairsharing_record_id":521,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:36.395Z","updated_at":"2021-09-30T09:30:36.441Z","grant_id":787,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IIS-0430906","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9379,"fairsharing_record_id":521,"organisation_id":54,"relation":"funds","created_at":"2022-04-11T12:07:34.352Z","updated_at":"2022-04-11T12:07:34.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":54,"name":"Alfred P. Sloan Foundation, New York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"525","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:01.407Z","metadata":{"doi":"10.25504/FAIRsharing.vttygv","name":"BEDgraph","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bedgraph.html","identifier":525,"description":"The bedGraph format allows display of continuous-valued data in track format. This display type is useful for probability scores and transcriptome data. This track type is similar to the wiggle (WIG) format, but unlike the wiggle format, data exported in the bedGraph format are preserved in their original state.","abbreviation":"BEDgraph","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000288","bsg-s000288"],"name":"FAIRsharing record for: BEDgraph","abbreviation":"BEDgraph","url":"https://fairsharing.org/10.25504/FAIRsharing.vttygv","doi":"10.25504/FAIRsharing.vttygv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bedGraph format allows display of continuous-valued data in track format. This display type is useful for probability scores and transcriptome data. This track type is similar to the wiggle (WIG) format, but unlike the wiggle format, data exported in the bedGraph format are preserved in their original state.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12503}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Life Science","Comparative Genomics"],"domains":["DNA sequence data","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1709,"pubmed_id":24867943,"title":"CWig: compressed representation of Wiggle/BedGraph format.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu330","authors":"Huy Hoang D,Sung WK","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu330","created_at":"2021-09-30T08:25:31.504Z","updated_at":"2021-09-30T08:25:31.504Z"}],"licence_links":[],"grants":[{"id":5817,"fairsharing_record_id":525,"organisation_id":407,"relation":"maintains","created_at":"2021-09-30T09:27:39.994Z","updated_at":"2021-09-30T09:27:39.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":407,"name":"Center for Biomolecular Science and Enginnering (CBSE), University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"526","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-01-08T11:31:57.102Z","metadata":{"doi":"10.25504/FAIRsharing.9te3ev","name":"The Prescription of Drugs Ontology","status":"ready","contacts":[{"contact_name":"Ryeyan Taseen","contact_email":"ryeyan.taseen@gmail.com"}],"homepage":"https://github.com/OpenLHS/PDRO","identifier":526,"description":"PDRO is a realist ontology that aims to represent the domain of drug prescriptions. Such an ontology is currently missing in the OBOFoundry and is highly relevant to the domains of existing ontologies like DRON, OMRSE and OAE. PDRO’s central focus is the structure of a drug prescription, which is represented as a mereology of informational entities. Our current use cases are (1) refining this structure (e.g., adding closure axioms, cardinality, datatype bindings, etc) for prospectively standardizing local electronic prescriptions and (2) annotating prescription data of differing EHRs for detecting inappropriate prescriptions using a central semantic framework. Future ontological work will include aligning PDRO more closely with the Document Acts Ontology.","abbreviation":"PDRO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDRO","name":"PDRO","portal":"BioPortal"}]},"legacy_ids":["bsg-000775","bsg-s000775"],"name":"FAIRsharing record for: The Prescription of Drugs Ontology","abbreviation":"PDRO","url":"https://fairsharing.org/10.25504/FAIRsharing.9te3ev","doi":"10.25504/FAIRsharing.9te3ev","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDRO is a realist ontology that aims to represent the domain of drug prescriptions. Such an ontology is currently missing in the OBOFoundry and is highly relevant to the domains of existing ontologies like DRON, OMRSE and OAE. PDRO’s central focus is the structure of a drug prescription, which is represented as a mereology of informational entities. Our current use cases are (1) refining this structure (e.g., adding closure axioms, cardinality, datatype bindings, etc) for prospectively standardizing local electronic prescriptions and (2) annotating prescription data of differing EHRs for detecting inappropriate prescriptions using a central semantic framework. Future ontological work will include aligning PDRO more closely with the Document Acts Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Primary Health Care"],"domains":["Drug"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2563,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"523","type":"fairsharing_records","attributes":{"created_at":"2021-06-09T12:24:45.000Z","updated_at":"2024-03-20T11:05:36.139Z","metadata":{"doi":"10.25504/FAIRsharing.fc1207","name":"Recommended Metadata for Biological Images","status":"ready","contacts":[{"contact_name":"REMBI General Contact","contact_email":"rembi@ebi.ac.uk"}],"homepage":"https://doi.org/10.1038/s41592-021-01166-8","citations":[{"doi":"10.1038/s41592-021-01166-8","pubmed_id":34021280,"publication_id":1663}],"identifier":523,"description":"The Recommended Metadata for Biological Images (REMBI) are a set of guidelines developed by the bioimaging community as a framework for discussing different aspects of useful sharing of imaging data. In general, REMBI provides a way to explain how your images were generated, providing enough context to allow others to interpret them without reference to external sources. ","abbreviation":"REMBI","support_links":[{"url":"https://www.ebi.ac.uk/about/news/announcements/REMBI-launch","name":"About REMBI Launch","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/bioimage-archive/rembi-help-examples/","name":"Study Component Guidance at BioImage Archive","type":"Help documentation"}],"year_creation":2021},"legacy_ids":["bsg-001615","bsg-s001615"],"name":"FAIRsharing record for: Recommended Metadata for Biological Images","abbreviation":"REMBI","url":"https://fairsharing.org/10.25504/FAIRsharing.fc1207","doi":"10.25504/FAIRsharing.fc1207","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Recommended Metadata for Biological Images (REMBI) are a set of guidelines developed by the bioimaging community as a framework for discussing different aspects of useful sharing of imaging data. In general, REMBI provides a way to explain how your images were generated, providing enough context to allow others to interpret them without reference to external sources. ","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18241},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15893}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Computational Biology","Biology"],"domains":["Bioimaging","Microscopy","Light microscopy","Electron microscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1663,"pubmed_id":34021280,"title":"REMBI: Recommended Metadata for Biological Images-enabling reuse of microscopy data in biology.","year":2021,"url":"http://doi.org/10.1038/s41592-021-01166-8","authors":"Sarkans U,Chiu W,Collinson L et al.","journal":"Nat Methods","doi":"10.1038/s41592-021-01166-8","created_at":"2021-09-30T08:25:26.261Z","updated_at":"2021-09-30T08:25:26.261Z"}],"licence_links":[],"grants":[{"id":5793,"fairsharing_record_id":523,"organisation_id":3089,"relation":"maintains","created_at":"2021-09-30T09:27:39.186Z","updated_at":"2021-09-30T09:27:39.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":3089,"name":"University of Massachusetts Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5796,"fairsharing_record_id":523,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:39.259Z","updated_at":"2021-09-30T09:27:39.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5799,"fairsharing_record_id":523,"organisation_id":2443,"relation":"maintains","created_at":"2021-09-30T09:27:39.335Z","updated_at":"2021-09-30T09:27:39.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":2443,"name":"RIKEN Center for Biosystems Dynamics Research (BDR), RIKEN, Hyogo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5801,"fairsharing_record_id":523,"organisation_id":1584,"relation":"maintains","created_at":"2021-09-30T09:27:39.385Z","updated_at":"2021-09-30T09:27:39.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":1584,"name":"Janssen, Belgium","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5804,"fairsharing_record_id":523,"organisation_id":3080,"relation":"maintains","created_at":"2021-09-30T09:27:39.460Z","updated_at":"2021-09-30T09:27:39.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":3080,"name":"University of Leuven (KU Leuven), Leuven, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5807,"fairsharing_record_id":523,"organisation_id":1450,"relation":"maintains","created_at":"2021-09-30T09:27:39.536Z","updated_at":"2021-09-30T09:27:39.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":1450,"name":"Instituto Gulbenkian de Ciencia Oeiras, Lisboa, Portugal","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5810,"fairsharing_record_id":523,"organisation_id":758,"relation":"maintains","created_at":"2021-09-30T09:27:39.616Z","updated_at":"2021-09-30T09:27:39.616Z","grant_id":null,"is_lead":false,"saved_state":{"id":758,"name":"Diamond Light Source, Harwell Science and Innovation Campus, Harwell, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5813,"fairsharing_record_id":523,"organisation_id":492,"relation":"maintains","created_at":"2021-09-30T09:27:39.784Z","updated_at":"2021-09-30T09:27:39.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":492,"name":"Chan Zuckerberg Initiative, Redwood City, CA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5792,"fairsharing_record_id":523,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:27:39.159Z","updated_at":"2021-09-30T09:27:39.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5794,"fairsharing_record_id":523,"organisation_id":3049,"relation":"maintains","created_at":"2021-09-30T09:27:39.209Z","updated_at":"2021-09-30T09:27:39.209Z","grant_id":null,"is_lead":false,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5795,"fairsharing_record_id":523,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:27:39.235Z","updated_at":"2021-09-30T09:27:39.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5797,"fairsharing_record_id":523,"organisation_id":2879,"relation":"maintains","created_at":"2021-09-30T09:27:39.286Z","updated_at":"2021-09-30T09:27:39.286Z","grant_id":null,"is_lead":false,"saved_state":{"id":2879,"name":"Turku BioImaging, University of Turku and Åbo Akademi University, Turku, Finland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5798,"fairsharing_record_id":523,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:27:39.309Z","updated_at":"2021-09-30T09:27:39.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5800,"fairsharing_record_id":523,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:39.359Z","updated_at":"2021-09-30T09:27:39.359Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5802,"fairsharing_record_id":523,"organisation_id":1638,"relation":"maintains","created_at":"2021-09-30T09:27:39.410Z","updated_at":"2021-09-30T09:27:39.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":1638,"name":"King's College London, London, United Kingdom","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5803,"fairsharing_record_id":523,"organisation_id":1046,"relation":"maintains","created_at":"2021-09-30T09:27:39.435Z","updated_at":"2021-09-30T09:27:39.435Z","grant_id":null,"is_lead":false,"saved_state":{"id":1046,"name":"Francis Crick Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5805,"fairsharing_record_id":523,"organisation_id":2618,"relation":"maintains","created_at":"2021-09-30T09:27:39.485Z","updated_at":"2021-09-30T09:27:39.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2618,"name":"SPT Labtech Ltd, Melbourn, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5806,"fairsharing_record_id":523,"organisation_id":394,"relation":"maintains","created_at":"2021-09-30T09:27:39.510Z","updated_at":"2021-09-30T09:27:39.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":394,"name":"Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5808,"fairsharing_record_id":523,"organisation_id":375,"relation":"maintains","created_at":"2021-09-30T09:27:39.560Z","updated_at":"2021-09-30T09:27:39.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":375,"name":"Carl Zeiss Microscopy GmbH, Jena, Germany","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5809,"fairsharing_record_id":523,"organisation_id":2986,"relation":"maintains","created_at":"2021-09-30T09:27:39.585Z","updated_at":"2021-09-30T09:27:39.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":2986,"name":"Université de Nantes, CNRS, INSERM, l’institut du thorax, Nantes, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5812,"fairsharing_record_id":523,"organisation_id":2061,"relation":"maintains","created_at":"2021-09-30T09:27:39.696Z","updated_at":"2021-09-30T09:27:39.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":2061,"name":"National Physical Laboratory, Teddington, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5814,"fairsharing_record_id":523,"organisation_id":1133,"relation":"maintains","created_at":"2021-09-30T09:27:39.825Z","updated_at":"2021-09-30T09:27:39.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":1133,"name":"German BioImaging e.V., University of Konstanz, Konstanz, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5815,"fairsharing_record_id":523,"organisation_id":3023,"relation":"maintains","created_at":"2021-09-30T09:27:39.868Z","updated_at":"2021-09-30T09:27:39.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":3023,"name":"University of Bristol, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5816,"fairsharing_record_id":523,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:39.908Z","updated_at":"2021-09-30T09:27:39.908Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9331,"fairsharing_record_id":523,"organisation_id":403,"relation":"maintains","created_at":"2022-04-11T12:07:30.884Z","updated_at":"2022-04-11T12:07:30.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"524","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:11:39.000Z","updated_at":"2024-03-05T05:41:31.312Z","metadata":{"doi":"10.25504/FAIRsharing.eq2pdx","name":"Neutron, X-ray and muon Data Format","status":"ready","contacts":[{"contact_name":"NeXus committee","contact_email":"nexus-committee@nexusformat.org"}],"homepage":"http://www.nexusformat.org","citations":[],"identifier":524,"description":"NeXus is an international standard developed by scientists and programmers worldwide to foster more collaboration and data sharing in the analysis and visualization of neutron, x-ray, and muon data. NeXus has its foundation on HDF5 and adds domain-specific rules for organizing data within HDF5 files as welll as a dictionary of well-defined domain-specific field names.","abbreviation":"NeXus","support_links":[{"url":"https://manual.nexusformat.org/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.nexusformat.org/IssueReporting.html","name":"Issue Reporting","type":"Contact form"},{"url":"https://manual.nexusformat.org/user_manual.html","name":"User manual","type":"Help documentation"},{"url":"https://github.com/nexusformat","name":"GitHub Repository","type":"Github"}],"year_creation":1996},"legacy_ids":["bsg-000704","bsg-s000704"],"name":"FAIRsharing record for: Neutron, X-ray and muon Data Format","abbreviation":"NeXus","url":"https://fairsharing.org/10.25504/FAIRsharing.eq2pdx","doi":"10.25504/FAIRsharing.eq2pdx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeXus is an international standard developed by scientists and programmers worldwide to foster more collaboration and data sharing in the analysis and visualization of neutron, x-ray, and muon data. NeXus has its foundation on HDF5 and adds domain-specific rules for organizing data within HDF5 files as welll as a dictionary of well-defined domain-specific field names.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Physics","Data Visualization"],"domains":["Nanoparticle"],"taxonomies":["Not applicable"],"user_defined_tags":["Neutron Science"],"countries":["Worldwide"],"publications":[{"id":2239,"pubmed_id":26089752,"title":"The NeXus data format.","year":2015,"url":"http://doi.org/10.1107/S1600576714027575","authors":"Konnecke M,Akeroyd FA,Bernstein HJ,Brewster AS,Campbell SI,Clausen B,Cottrell S,Hoffmann JU,Jemian PR,Mannicke D,Osborn R,Peterson PF,Richter T,Suzuki J,Watts B,Wintersberger E,Wuttke J","journal":"J Appl Crystallogr","doi":"10.1107/S1600576714027575","created_at":"2021-09-30T08:26:32.356Z","updated_at":"2021-09-30T08:26:32.356Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":3513,"relation":"applies_to_content"}],"grants":[{"id":11423,"fairsharing_record_id":524,"organisation_id":4289,"relation":"maintains","created_at":"2024-02-27T10:38:25.379Z","updated_at":"2024-02-27T10:38:25.379Z","grant_id":null,"is_lead":true,"saved_state":{"id":4289,"name":"NeXus International Advisory Committee","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcTBEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e61d187aa06d17228db6f4bea91e868b896dddaa/Screenshot%20from%202024-02-27%2010-32-50.png?disposition=inline","exhaustive_licences":true}},{"id":"538","type":"fairsharing_records","attributes":{"created_at":"2018-11-07T14:50:32.000Z","updated_at":"2024-05-02T13:21:22.568Z","metadata":{"doi":"10.25504/FAIRsharing.ATwSZG","name":"Research Resource Identifier","status":"ready","contacts":[{"contact_name":"Anita Bandrowski","contact_email":"resources@scicrunch.zendesk.com"}],"homepage":"https://www.rrids.org/","citations":[],"identifier":538,"description":"Research Resource Identifiers (#RRID) are ID numbers assigned to help researchers cite key resources (antibodies, model organisms and software projects) in the biomedical literature to improve transparency of research methods. \n\n\n\n","abbreviation":"RRID","support_links":[{"url":"https://www.rrids.org/draft-texts","name":"Draft Instructions and Text","type":"Help documentation"},{"url":"https://www.rrids.org/journals","name":"Journal Endorsements","type":"Other"},{"url":"https://www.rrids.org/new-page-2","name":"Contact RRID","type":"Contact form"},{"url":"https://site.us12.list-manage.com/subscribe?u=0a278980f634ce4f77988e46a\u0026id=743aaca79b","name":"RRID Newsletter","type":"Mailing list"}],"year_creation":2013,"cross_references":[{"url":"https://bioregistry.io/registry/rrid","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/rrid","name":"Identifiers.org","portal":"Other"}],"regular_expression":"^[a-zA-Z]+.+$"},"legacy_ids":["bsg-001334","bsg-s001334"],"name":"FAIRsharing record for: Research Resource Identifier","abbreviation":"RRID","url":"https://fairsharing.org/10.25504/FAIRsharing.ATwSZG","doi":"10.25504/FAIRsharing.ATwSZG","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Research Resource Identifiers (#RRID) are ID numbers assigned to help researchers cite key resources (antibodies, model organisms and software projects) in the biomedical literature to improve transparency of research methods. \n\n\n\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Chemistry","Life Science"],"domains":["Citation","Resource metadata","Annotation","Data retrieval","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":631,"pubmed_id":26594330,"title":"The Resource Identification Initiative: A cultural shift in publishing.","year":2015,"url":"http://doi.org/10.12688/f1000research.6555.2","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan S,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"F1000Res","doi":"10.12688/f1000research.6555.2","created_at":"2021-09-30T08:23:29.376Z","updated_at":"2021-09-30T08:23:29.376Z"},{"id":739,"pubmed_id":27151636,"title":"RRIDs: A Simple Step toward Improving Reproducibility through Rigor and Transparency of Experimental Methods.","year":2016,"url":"http://doi.org/10.1016/j.neuron.2016.04.030","authors":"Bandrowski AE,Martone ME","journal":"Neuron","doi":"10.1016/j.neuron.2016.04.030","created_at":"2021-09-30T08:23:41.403Z","updated_at":"2021-09-30T08:23:41.403Z"},{"id":1283,"pubmed_id":26599696,"title":"The Resource Identification Initiative: A Cultural Shift in Publishing.","year":2015,"url":"http://doi.org/10.1002/cne.23913","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan SC,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"J Comp Neurol","doi":"10.1002/cne.23913","created_at":"2021-09-30T08:24:43.216Z","updated_at":"2021-09-30T08:24:43.216Z"},{"id":1418,"pubmed_id":24032093,"title":"On the reproducibility of science: unique identification of research resources in the biomedical literature.","year":2013,"url":"http://doi.org/10.7717/peerj.148","authors":"Vasilevsky NA,Brush MH,Paddock H,Ponting L,Tripathy SJ,Larocca GM,Haendel MA","journal":"PeerJ","doi":"10.7717/peerj.148","created_at":"2021-09-30T08:24:58.427Z","updated_at":"2021-09-30T08:24:58.427Z"},{"id":1426,"pubmed_id":27595404,"title":"A proposal for validation of antibodies.","year":2016,"url":"http://doi.org/10.1038/nmeth.3995","authors":"Uhlen M,Bandrowski A,Carr S,Edwards A,Ellenberg J,Lundberg E,Rimm DL,Rodriguez H,Hiltke T,Snyder M,Yamamoto T","journal":"Nat Methods","doi":"10.1038/nmeth.3995","created_at":"2021-09-30T08:24:59.385Z","updated_at":"2021-09-30T08:24:59.385Z"}],"licence_links":[],"grants":[{"id":5832,"fairsharing_record_id":538,"organisation_id":2436,"relation":"maintains","created_at":"2021-09-30T09:27:40.437Z","updated_at":"2021-09-30T09:27:40.437Z","grant_id":null,"is_lead":true,"saved_state":{"id":2436,"name":"Resource Identification Initiatve","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11604,"fairsharing_record_id":538,"organisation_id":990,"relation":"maintains","created_at":"2024-03-21T13:59:31.472Z","updated_at":"2024-03-21T13:59:31.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":990,"name":"FAIR Data Informatics Lab, University of California, San Diego, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"517","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:40:27.000Z","updated_at":"2021-11-24T13:18:37.896Z","metadata":{"doi":"10.25504/FAIRsharing.c9fakh","name":"Big Pattern Space Layout","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigPsl.html","identifier":517,"description":"The bigPsl format stores alignments between two sequences just as PSL files do; however, bigPsl files are compressed and indexed as bigBeds. PSL files are converted to bigPsl files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigPsl.","abbreviation":"bigPsl","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"bedToBigBed"},{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"pslToBigPsl"}]},"legacy_ids":["bsg-000698","bsg-s000698"],"name":"FAIRsharing record for: Big Pattern Space Layout","abbreviation":"bigPsl","url":"https://fairsharing.org/10.25504/FAIRsharing.c9fakh","doi":"10.25504/FAIRsharing.c9fakh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigPsl format stores alignments between two sequences just as PSL files do; however, bigPsl files are compressed and indexed as bigBeds. PSL files are converted to bigPsl files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigPsl.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Multiple sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5779,"fairsharing_record_id":517,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:38.826Z","updated_at":"2021-09-30T09:27:38.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"518","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:37.975Z","metadata":{"doi":"10.25504/FAIRsharing.x9k6a1","name":"bigWig Track Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigWig.html","identifier":518,"description":"The bigWig format is for display of dense, continuous data that will be displayed in the Genome Browser as a graph. The bigWig files are in an indexed binary format. The main advantage of this format is that only those portions of the file needed to display a particular region are transferred to the Genome Browser server. Because of this, bigWig files have considerably faster display performance than regular wiggle files when working with large data sets. The bigWig file remains on your local web-accessible server (http, https or ftp), not on the UCSC server, and only the portion needed for the currently displayed chromosomal position is locally cached as a \"sparse file\".","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000213","bsg-s000213"],"name":"FAIRsharing record for: bigWig Track Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.x9k6a1","doi":"10.25504/FAIRsharing.x9k6a1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigWig format is for display of dense, continuous data that will be displayed in the Genome Browser as a graph. The bigWig files are in an indexed binary format. The main advantage of this format is that only those portions of the file needed to display a particular region are transferred to the Genome Browser server. Because of this, bigWig files have considerably faster display performance than regular wiggle files when working with large data sets. The bigWig file remains on your local web-accessible server (http, https or ftp), not on the UCSC server, and only the portion needed for the currently displayed chromosomal position is locally cached as a \"sparse file\".","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11996}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5780,"fairsharing_record_id":518,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:38.851Z","updated_at":"2021-09-30T09:27:38.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"583","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-13T09:20:59.952Z","metadata":{"doi":"10.25504/FAIRsharing.ayjdsm","name":"Amphibian Taxonomy Ontology","status":"deprecated","contacts":[],"homepage":"http://purl.bioontology.org/ontology/ATO","citations":[],"identifier":583,"description":"Amphibian Taxonomy Ontology is an ontology of Amphibian species and genres. It is being integrated into UBERON resource","abbreviation":"ATO","deprecation_date":"2016-04-20","deprecation_reason":"This resource is no longer maintained, and UBERON can be used instead."},"legacy_ids":["bsg-000005","bsg-s000005"],"name":"FAIRsharing record for: Amphibian Taxonomy Ontology","abbreviation":"ATO","url":"https://fairsharing.org/10.25504/FAIRsharing.ayjdsm","doi":"10.25504/FAIRsharing.ayjdsm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Amphibian Taxonomy Ontology is an ontology of Amphibian species and genres. It is being integrated into UBERON resource","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy"],"domains":["Taxonomic classification"],"taxonomies":["Amphibia"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"584","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2024-02-28T13:54:36.410Z","metadata":{"doi":"10.25504/FAIRsharing.kd6sg8","name":"RegenBase ontology","status":"ready","contacts":[{"contact_name":"Alison Callahan","contact_email":"acallaha@stanford.edu"}],"homepage":"https://regenbase.org/regenbase-ontology.html","citations":[],"identifier":584,"description":"The RegenBase ontology describes biological entities and processes studied in spinal cord injury (SCI) research. The project aims to improve the replicability of SCI research findings through a minimum information standard for describing SCI experiments and their results, and this ontology to formally describe SCI concepts and the relationships between them. ","abbreviation":null,"support_links":[{"url":"https://regenbase.org/team--contact.html","name":"General Contact Form and Emails","type":"Contact form"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RB","name":"RB","portal":"BioPortal"}]},"legacy_ids":["bsg-000767","bsg-s000767"],"name":"FAIRsharing record for: RegenBase ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.kd6sg8","doi":"10.25504/FAIRsharing.kd6sg8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RegenBase ontology describes biological entities and processes studied in spinal cord injury (SCI) research. The project aims to improve the replicability of SCI research findings through a minimum information standard for describing SCI experiments and their results, and this ontology to formally describe SCI concepts and the relationships between them. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Medicine","Neurobiology","Biomedical Science","Translational Medicine"],"domains":[],"taxonomies":["Vertebrata"],"user_defined_tags":["Spinal Cord","Spinal Cord Injury"],"countries":["United States"],"publications":[{"id":3995,"pubmed_id":null,"title":"Facilitating transparency in spinal cord injury studies using data standards and ontologies","year":2014,"url":"http://dx.doi.org/10.4103/1673-5374.125322","authors":"Lemmon, VanceP; Abeyruwan, Saminda; Visser, Ubbo; Bixby, JohnL; ","journal":"Neural Regen Res","doi":"10.4103/1673-5374.125322","created_at":"2023-09-21T13:24:03.022Z","updated_at":"2023-09-21T13:24:03.022Z"}],"licence_links":[{"licence_name":"RegenBase Terms","licence_id":1074,"licence_url":"https://regenbase.org/terms-of-use.html","link_id":3342,"relation":"applies_to_content"}],"grants":[{"id":10880,"fairsharing_record_id":584,"organisation_id":1825,"relation":"maintains","created_at":"2023-09-21T13:42:50.098Z","updated_at":"2023-09-21T13:42:50.098Z","grant_id":null,"is_lead":true,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdklDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a3ccd509fd2fd8ae5e38c934f0e5ce0caff6a49d/1424801361.png?disposition=inline","exhaustive_licences":true}},{"id":"585","type":"fairsharing_records","attributes":{"created_at":"2018-09-30T20:13:41.000Z","updated_at":"2022-04-11T12:07:18.634Z","metadata":{"doi":"10.25504/FAIRsharing.7e962d","name":"Protocol Registration Data Element Definitions","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"Register@ClinicalTrials.gov"}],"homepage":"https://prsinfo.clinicaltrials.gov/definitions.html","identifier":585,"description":"This standard describes the definitions for protocol registration data elements submitted to ClinicalTrials.gov for interventional studies (clinical trials) and observational studies.","abbreviation":null,"support_links":[{"url":"https://clinicaltrials.gov/ct2/manage-recs/resources","name":"Support Materials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001299","bsg-s001299"],"name":"FAIRsharing record for: Protocol Registration Data Element Definitions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7e962d","doi":"10.25504/FAIRsharing.7e962d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard describes the definitions for protocol registration data elements submitted to ClinicalTrials.gov for interventional studies (clinical trials) and observational studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12538}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Health Science","Life Science","Biomedical Science","Preclinical Studies"],"domains":["Centrally registered identifier","Electronic health record","Intervention design","Protocol","Observation design","Study design"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5908,"fairsharing_record_id":585,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:27:42.422Z","updated_at":"2021-09-30T09:27:42.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5906,"fairsharing_record_id":585,"organisation_id":2944,"relation":"maintains","created_at":"2021-09-30T09:27:42.372Z","updated_at":"2021-09-30T09:27:42.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9163,"fairsharing_record_id":585,"organisation_id":2045,"relation":"funds","created_at":"2022-04-11T12:07:18.624Z","updated_at":"2022-04-11T12:07:18.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"586","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2023-03-30T13:11:12.083Z","metadata":{"doi":"10.25504/FAIRsharing.vpy0jx","name":"Knowledge Object Reference Ontology","status":"ready","contacts":[{"contact_name":"Allen Flynn","contact_email":"ajflynn@umich.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/KORO","citations":[],"identifier":586,"description":"An ontology to define the parts of a Knowledge Object and their relations built using the Basic Formal Ontology and Information Artifact Ontology","abbreviation":"KORO","support_links":[{"url":"https://link.springer.com/chapter/10.1007/978-94-6209-004-0_3","name":"Reference Ontology for Knowledge Creation Processes (chapter book)","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/KORO","name":"KORO","portal":"BioPortal"}]},"legacy_ids":["bsg-000769","bsg-s000769"],"name":"FAIRsharing record for: Knowledge Object Reference Ontology","abbreviation":"KORO","url":"https://fairsharing.org/10.25504/FAIRsharing.vpy0jx","doi":"10.25504/FAIRsharing.vpy0jx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology to define the parts of a Knowledge Object and their relations built using the Basic Formal Ontology and Information Artifact Ontology","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems"],"domains":["Knowledge representation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3832,"pubmed_id":null,"title":"The Knowledge Object Reference Ontology (KORO): A formalism to support management and sharing of computable biomedical knowledge for learning health systems","year":2018,"url":"http://dx.doi.org/10.1002/lrh2.10054","authors":"Flynn, Allen J.; Friedman, Charles P.; Boisvert, Peter; Landis-Lewis, Zachary; Lagoze, Carl; ","journal":"Learn Health Sys","doi":"10.1002/lrh2.10054","created_at":"2023-03-30T13:05:56.535Z","updated_at":"2023-03-30T13:05:56.535Z"}],"licence_links":[],"grants":[{"id":10469,"fairsharing_record_id":586,"organisation_id":2512,"relation":"undefined","created_at":"2023-03-30T13:09:35.358Z","updated_at":"2023-03-30T13:09:35.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":2512,"name":"School of Information, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"587","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2023-01-04T11:46:42.605Z","metadata":{"doi":"10.25504/FAIRsharing.3qdg66","name":"Genomic Clinical Decision Support Ontology","status":"ready","contacts":[{"contact_name":"Matthias Samwald","contact_email":"samwald@gmx.at"}],"homepage":"http://samwald.info","citations":[],"identifier":587,"description":"The Genomic CDS ontology aims to unify several functionalities in a single resource, being: * A knowledge base for clinical pharmacogenomics/pharmacogenetics that can be used for question-answering (e.g., which SNPs are associated with this drug?) * A rule base for clinical decision support (e.g., inferring that a patient with a specific set of SNPs requires a lowered dose of warfarin and generating a CDS message that can be viewed by clinicians) * A tool for checking data consistency (e.g., highlighting which allele definitions in PharmGKB are overlapping, or which clinical decision support rules are matching the same group of patients).","abbreviation":"GENE-CDS","support_links":[],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GENE-CDS","name":"GENE-CDS","portal":"BioPortal"}]},"legacy_ids":["bsg-000770","bsg-s000770"],"name":"FAIRsharing record for: Genomic Clinical Decision Support Ontology","abbreviation":"GENE-CDS","url":"https://fairsharing.org/10.25504/FAIRsharing.3qdg66","doi":"10.25504/FAIRsharing.3qdg66","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic CDS ontology aims to unify several functionalities in a single resource, being: * A knowledge base for clinical pharmacogenomics/pharmacogenetics that can be used for question-answering (e.g., which SNPs are associated with this drug?) * A rule base for clinical decision support (e.g., inferring that a patient with a specific set of SNPs requires a lowered dose of warfarin and generating a CDS message that can be viewed by clinicians) * A tool for checking data consistency (e.g., highlighting which allele definitions in PharmGKB are overlapping, or which clinical decision support rules are matching the same group of patients).","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16963}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Health Science","Proteomics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria"],"publications":[],"licence_links":[],"grants":[{"id":10292,"fairsharing_record_id":587,"organisation_id":3856,"relation":"maintains","created_at":"2023-01-04T11:29:25.777Z","updated_at":"2023-01-04T11:29:25.777Z","grant_id":null,"is_lead":true,"saved_state":{"id":3856,"name":"Samwald Lab","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"588","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-12-23T08:39:18.554Z","metadata":{"doi":"10.25504/FAIRsharing.dyj433","name":"PatientSafetyOntology","status":"ready","contacts":[{"contact_name":"Thomas Schrader","contact_email":"schrader@th-brandenburg.de"}],"homepage":"http://bioportal.bioontology.org/ontologies/PSO","citations":[],"identifier":588,"description":"It is the ontology embedding PRIME (Prospective Risk Analysis in Medical Environments) in related issues of patient safety research and activities. It classifies terms and express relations between them. The ontology building in an ongoing process. Any comments are welcome.","abbreviation":"PSO","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PSO","name":"PSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000771","bsg-s000771"],"name":"FAIRsharing record for: PatientSafetyOntology","abbreviation":"PSO","url":"https://fairsharing.org/10.25504/FAIRsharing.dyj433","doi":"10.25504/FAIRsharing.dyj433","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: It is the ontology embedding PRIME (Prospective Risk Analysis in Medical Environments) in related issues of patient safety research and activities. It classifies terms and express relations between them. The ontology building in an ongoing process. Any comments are welcome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Occupational Medicine","Medical Informatics"],"domains":["Monitoring","Hospital"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"589","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-12-23T08:35:08.322Z","metadata":{"doi":"10.25504/FAIRsharing.77v8xn","name":"Upper-Level Cancer Ontology","status":"ready","contacts":[{"contact_name":"Andre Stander","contact_email":"andre.stander@up.ac.za"}],"homepage":"http://bioportal.bioontology.org/ontologies/CANONT","citations":[],"identifier":589,"description":"Providing an upper-level ontology for cancer.","abbreviation":"CANONT","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CANONT","name":"CANONT","portal":"BioPortal"}]},"legacy_ids":["bsg-000764","bsg-s000764"],"name":"FAIRsharing record for: Upper-Level Cancer Ontology","abbreviation":"CANONT","url":"https://fairsharing.org/10.25504/FAIRsharing.77v8xn","doi":"10.25504/FAIRsharing.77v8xn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Providing an upper-level ontology for cancer.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology"],"domains":["Cancer"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"590","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2023-03-13T09:26:44.386Z","metadata":{"doi":"10.25504/FAIRsharing.pxj1sx","name":"Ontological Knowledge Base Model for Cystic Fibrosis","status":"ready","contacts":[{"contact_name":"Xia Jing","contact_email":"xjing2007@googlemail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOKBCF","citations":[],"identifier":590,"description":"OntoKBCF is an ontological knowledge base model for cystic fibrosis. There are molecular genetic information (i.e. gene mutations) and health information included in OntoKBCF. The purposes of OntoKBCF include management of molecular genetic information and health information and embedding OntoKBCF into EHR settings.","abbreviation":"ONTOKBCF","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOKBCF","name":"ONTOKBCF","portal":"BioPortal"}]},"legacy_ids":["bsg-000765","bsg-s000765"],"name":"FAIRsharing record for: Ontological Knowledge Base Model for Cystic Fibrosis","abbreviation":"ONTOKBCF","url":"https://fairsharing.org/10.25504/FAIRsharing.pxj1sx","doi":"10.25504/FAIRsharing.pxj1sx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoKBCF is an ontological knowledge base model for cystic fibrosis. There are molecular genetic information (i.e. gene mutations) and health information included in OntoKBCF. The purposes of OntoKBCF include management of molecular genetic information and health information and embedding OntoKBCF into EHR settings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Genetics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"591","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:00:20.254Z","metadata":{"doi":"10.25504/FAIRsharing.8532n8","name":"DermLex: The Dermatology Lexicon","status":"deprecated","contacts":[{"contact_name":"Naomi Levintha","contact_email":"nlevinthal@aad.org"}],"homepage":"https://www.aad.org/dermlex/Default.aspx","identifier":591,"description":"DermLex: The Dermatology Lexicon standardized terminology of dermatologic diagnoses, therapies, procedures, and laboratory tests.","abbreviation":"DermLex","support_links":[{"url":"dermlex@aad.org","name":"General inquiry","type":"Support email"},{"url":"https://www.aad.org/dermlex/Mappings.aspx","name":"Mapping","type":"Help documentation"}],"year_creation":2006,"deprecation_date":"2019-06-18","deprecation_reason":"This resource is no longer actively maintained. This has been confirmed via the resource homepage: \"Users should note that, per the decision of its Board of Directors, the American Academy of Dermatology no longer actively maintains the Dermlex. The lexicon was last updated on May, 12, 2009.\""},"legacy_ids":["bsg-002599","bsg-s002599"],"name":"FAIRsharing record for: DermLex: The Dermatology Lexicon","abbreviation":"DermLex","url":"https://fairsharing.org/10.25504/FAIRsharing.8532n8","doi":"10.25504/FAIRsharing.8532n8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DermLex: The Dermatology Lexicon standardized terminology of dermatologic diagnoses, therapies, procedures, and laboratory tests.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Dermatology","Biomedical Science"],"domains":["Patient care","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"592","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:26.000Z","updated_at":"2022-11-01T11:57:45.054Z","metadata":{"doi":"10.25504/FAIRsharing.EwnE1n","name":"FAIR Metrics - Access authorization","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_A1.2","citations":[],"identifier":592,"description":"FM-A1.2 measures whether or not the specification describes a protocol to access restricted content. Not all content can be made available without restriction. For instance, access and distribution of personal health data may be restricted by law or by organizational policy. In such cases, it is important that the protocol by which such content can be accessed is fully specified. Ideally, electronic content can be obtained first by applying for access. Once the requester is formally authorized to access the content, they may receive it in some electronic means, for instance by obtaining an download URL, or through a more sophisticated transaction mechanism (e.g. authenticate, authorize), or by any other means. The goal should be to reduce the time it takes for valid requests to be fulfilled. Therefore the following information must be provided: i) true/false concerning whether authorization is needed, ii) a URL that resolves to a description of the process to obtain access to restricted content. This metric applies to part A1.2 of the FAIR Principles.","abbreviation":"FM-A1.2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001348","bsg-s001348"],"name":"FAIRsharing record for: FAIR Metrics - Access authorization","abbreviation":"FM-A1.2","url":"https://fairsharing.org/10.25504/FAIRsharing.EwnE1n","doi":"10.25504/FAIRsharing.EwnE1n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-A1.2 measures whether or not the specification describes a protocol to access restricted content. Not all content can be made available without restriction. For instance, access and distribution of personal health data may be restricted by law or by organizational policy. In such cases, it is important that the protocol by which such content can be accessed is fully specified. Ideally, electronic content can be obtained first by applying for access. Once the requester is formally authorized to access the content, they may receive it in some electronic means, for instance by obtaining an download URL, or through a more sophisticated transaction mechanism (e.g. authenticate, authorize), or by any other means. The goal should be to reduce the time it takes for valid requests to be fulfilled. Therefore the following information must be provided: i) true/false concerning whether authorization is needed, ii) a URL that resolves to a description of the process to obtain access to restricted content. This metric applies to part A1.2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1405,"relation":"undefined"}],"grants":[{"id":5910,"fairsharing_record_id":592,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:42.504Z","updated_at":"2021-09-30T09:27:42.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5911,"fairsharing_record_id":592,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:42.546Z","updated_at":"2021-09-30T09:27:42.546Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5912,"fairsharing_record_id":592,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:42.588Z","updated_at":"2021-09-30T09:27:42.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5913,"fairsharing_record_id":592,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:42.630Z","updated_at":"2021-09-30T09:27:42.630Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"607","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T18:54:06.000Z","updated_at":"2024-03-21T13:59:00.838Z","metadata":{"doi":"10.25504/FAIRsharing.wggn02","name":"LINCS Extended Metadata Standard: Nucleic Acid Reagents","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Nucleic_Acid_Metadata_2017.pdf","citations":[],"identifier":607,"description":"LINCS Production Phase 2 Extended Metadata Standards, including this guideline on Nucleic Acid Reagents, were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","abbreviation":"LINCS 2: Nucleic Acid Reagents","support_links":[{"url":"https://lincsproject.org/LINCS/files/Nucleic_Acid_Metadata_2016.pdf","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000699","bsg-s000699"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Nucleic Acid Reagents","abbreviation":"LINCS 2: Nucleic Acid Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.wggn02","doi":"10.25504/FAIRsharing.wggn02","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards, including this guideline on Nucleic Acid Reagents, were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11909}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Nucleic acid","Reagent","Cell culture"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5937,"fairsharing_record_id":607,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:43.480Z","updated_at":"2021-09-30T09:27:43.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11569,"fairsharing_record_id":607,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:00.562Z","updated_at":"2024-03-21T13:59:00.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"609","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:02:26.810Z","metadata":{"doi":"10.25504/FAIRsharing.d88s6e","name":"Systematized Nomenclature of Medicine-Clinical Terms","status":"ready","contacts":[{"contact_name":"info@snomed.org","contact_email":"info@snomed.org"}],"homepage":"http://www.snomed.org/snomed-ct/five-step-briefing","citations":[],"identifier":609,"description":"The Systematized Nomenclature of Medicine Clinical Terms is a reference terminology that can be used to cross-map standardized healthcare languages across healthcare disciplines.","abbreviation":"SNOMEDCT","support_links":[{"url":"https://confluence.ihtsdotools.org","type":"Help documentation"},{"url":"https://www.snomed.org/snomed-international/learn-more","type":"Help documentation"}],"year_creation":2005,"associated_tools":[{"url":"https://github.com/IHTSDO/sct-browser-frontend","name":"SNOMED CT Browser 2.0"},{"url":"https://github.com/IHTSDO/OTF-Mapping-Service","name":"SNOMED CT Mapping Tool 1.7.5"},{"url":"https://github.com/IHTSDO/snowstorm","name":"Snowstorm SNOMED CT Terminology Server 4.9.0"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SNOMEDCT","name":"SNOMEDCT","portal":"BioPortal"}]},"legacy_ids":["bsg-000098","bsg-s000098"],"name":"FAIRsharing record for: Systematized Nomenclature of Medicine-Clinical Terms","abbreviation":"SNOMEDCT","url":"https://fairsharing.org/10.25504/FAIRsharing.d88s6e","doi":"10.25504/FAIRsharing.d88s6e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systematized Nomenclature of Medicine Clinical Terms is a reference terminology that can be used to cross-map standardized healthcare languages across healthcare disciplines.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17338},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17687},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11027},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11272},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11970},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12208},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12420},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16973}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Belgium","Brunei","Canada","Chile","Czech Republic","Denmark","Estonia","Hong Kong","Iceland","India","Ireland","Israel","Lithuania","Malaysia","Malta","Netherlands","New Zealand","Norway","Poland","Portugal","Singapore","Slovakia","Slovenia","Spain","Sweden","Switzerland","United Kingdom","United States","Uruguay"],"publications":[{"id":1258,"pubmed_id":16980782,"title":"Standardized nursing language in the systematized nomenclature of medicine clinical terms: A cross-mapping validation method.","year":2006,"url":"http://doi.org/10.1097/00024665-200609000-00011","authors":"Lu DF,Eichmann D,Konicek D,Park HT,Ucharattana P,Delaney C","journal":"Comput Inform Nurs","doi":"10.1097/00024665-200609000-00011","created_at":"2021-09-30T08:24:40.358Z","updated_at":"2021-09-30T08:24:40.358Z"}],"licence_links":[{"licence_name":"SNOMED CT Licensing Policy","licence_id":751,"licence_url":"https://www.snomed.org/snomed-ct/get-snomed","link_id":499,"relation":"undefined"}],"grants":[{"id":12028,"fairsharing_record_id":609,"organisation_id":3834,"relation":"maintains","created_at":"2024-07-08T14:51:30.080Z","updated_at":"2024-07-08T14:51:30.080Z","grant_id":null,"is_lead":true,"saved_state":{"id":3834,"name":"SNOMED International","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"610","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-12-27T17:15:59.647Z","metadata":{"doi":"10.25504/FAIRsharing.hqyeb7","name":"Fire Ontology","status":"ready","contacts":[{"contact_name":"Adriano Souza","contact_email":"souza.a@outlook.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/FIRE","citations":[],"identifier":610,"description":"The ontology of Fire was created in order to represent the set of concepts about the fire occurring in natural vegetation, its characteristics, causes and effects, with focus on Cerrado vegetation domain. The fire plays a determinant role on the structure and composition of Cerrado physiognomies.","abbreviation":"FIRE","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FIRE","name":"FIRE","portal":"BioPortal"}]},"legacy_ids":["bsg-000783","bsg-s000783"],"name":"FAIRsharing record for: Fire Ontology","abbreviation":"FIRE","url":"https://fairsharing.org/10.25504/FAIRsharing.hqyeb7","doi":"10.25504/FAIRsharing.hqyeb7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of Fire was created in order to represent the set of concepts about the fire occurring in natural vegetation, its characteristics, causes and effects, with focus on Cerrado vegetation domain. The fire plays a determinant role on the structure and composition of Cerrado physiognomies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Plant Ecology","Environmental Science","Population Dynamics","Meteorology","Biodiversity","Ecosystem Science"],"domains":["Combustion","Climate","Ecosystem"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"613","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:09.065Z","metadata":{"doi":"10.25504/FAIRsharing.w69t6r","name":"Plant Trait Ontology","status":"ready","contacts":[{"contact_name":"Laurel Cooper","contact_email":"cooperl@science.oregonstate.edu","contact_orcid":"0000-0002-6379-8932"}],"homepage":"http://browser.planteome.org/amigo/term/TO:0000387#display-lineage-tab","identifier":613,"description":"A controlled vocabulary to describe phenotypic traits in plants. Each trait is a distinguishable feature, characteristic, quality or phenotypic feature of a developing or mature plant, or a plant part. The TO is part of the Planteome Project.","abbreviation":"TO","support_links":[{"url":"http://planteome.org/contact","name":"Planteome Contact Form","type":"Contact form"},{"url":"jaiswalp@science.oregonstate.edu","name":"Pankaj Jaiswal","type":"Support email"},{"url":"https://github.com/Planteome/plant-trait-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/Planteome/plant-trait-ontology","name":"GitHub Project","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PTO","name":"PTO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/to.html","name":"to","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000133","bsg-s000133"],"name":"FAIRsharing record for: Plant Trait Ontology","abbreviation":"TO","url":"https://fairsharing.org/10.25504/FAIRsharing.w69t6r","doi":"10.25504/FAIRsharing.w69t6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary to describe phenotypic traits in plants. Each trait is a distinguishable feature, characteristic, quality or phenotypic feature of a developing or mature plant, or a plant part. The TO is part of the Planteome Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Phenotype","Structure","Life cycle"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2166,"pubmed_id":29186578,"title":"The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1152","authors":"Cooper L,Meier A,Laporte MA,Elser JL,Mungall C,Sinn BT,Cavaliere D,Carbon S,Dunn NA,Smith B,Qu B,Preece J,Zhang E,Todorovic S,Gkoutos G,Doonan JH,Stevenson DW,Arnaud E,Jaiswal P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1152","created_at":"2021-09-30T08:26:24.139Z","updated_at":"2021-09-30T11:29:30.419Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1740,"relation":"undefined"}],"grants":[{"id":5940,"fairsharing_record_id":613,"organisation_id":15,"relation":"maintains","created_at":"2021-09-30T09:27:43.579Z","updated_at":"2021-09-30T09:27:43.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":15,"name":"Aberystwyth University, Wales, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5943,"fairsharing_record_id":613,"organisation_id":2153,"relation":"maintains","created_at":"2021-09-30T09:27:43.663Z","updated_at":"2021-09-30T09:27:43.663Z","grant_id":null,"is_lead":false,"saved_state":{"id":2153,"name":"New York Botanical Garden","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5941,"fairsharing_record_id":613,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:43.608Z","updated_at":"2021-09-30T09:27:43.608Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5942,"fairsharing_record_id":613,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:27:43.633Z","updated_at":"2021-09-30T09:27:43.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5944,"fairsharing_record_id":613,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:27:43.706Z","updated_at":"2021-09-30T09:27:43.706Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"614","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T11:55:32.515Z","metadata":{"doi":"10.25504/FAIRsharing.rz77m6","name":"Transition Markup Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"psidev-ms-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/traml","citations":[{"doi":"10.1074/mcp.R111.015040","pubmed_id":22159873,"publication_id":2206}],"identifier":614,"description":"The HUPO PSI Mass Spectrometry Standards Working Group (MSS WG) has developed a specification for a standardized format for the exchange and transmission of transition lists for selected reaction monitoring (SRM)/multiple reaction monitoring proteomic experiments. ","abbreviation":"TraML","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"http://www.peptideatlas.org/schemas/TraML/1.0.0/TraML1.0.0.html","type":"Help documentation"},{"url":"http://www.peptideatlas.org/schemas/TraML/1.0.0/TraML_1.0.0.0_specificationDocument.pdf","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"http://iomics.ugent.be/jtraml","name":"TraML Converter 1.0"}]},"legacy_ids":["bsg-000113","bsg-s000113"],"name":"FAIRsharing record for: Transition Markup Language","abbreviation":"TraML","url":"https://fairsharing.org/10.25504/FAIRsharing.rz77m6","doi":"10.25504/FAIRsharing.rz77m6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HUPO PSI Mass Spectrometry Standards Working Group (MSS WG) has developed a specification for a standardized format for the exchange and transmission of transition lists for selected reaction monitoring (SRM)/multiple reaction monitoring proteomic experiments. ","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11428},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11952},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16913}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Experimental measurement","Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Germany","Switzerland","United Kingdom","United States"],"publications":[{"id":2206,"pubmed_id":22159873,"title":"TraML--a standard format for exchange of selected reaction monitoring transition lists.","year":2011,"url":"http://doi.org/10.1074/mcp.R111.015040","authors":"Deutsch EW,Chambers M,Neumann S,Levander F,Binz PA,Shofstahl J,Campbell DS,Mendoza L,Ovelleiro D,Helsens K,Martens L,Aebersold R,Moritz RL,Brusniak MY","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.R111.015040","created_at":"2021-09-30T08:26:28.641Z","updated_at":"2021-09-30T08:26:28.641Z"}],"licence_links":[],"grants":[{"id":5945,"fairsharing_record_id":614,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:43.743Z","updated_at":"2021-09-30T09:30:14.497Z","grant_id":616,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7 'ProteomeXchange' 260558","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5948,"fairsharing_record_id":614,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:43.825Z","updated_at":"2021-09-30T09:32:29.105Z","grant_id":1640,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01- HV -28179","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5947,"fairsharing_record_id":614,"organisation_id":1291,"relation":"maintains","created_at":"2021-09-30T09:27:43.799Z","updated_at":"2021-09-30T09:27:43.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":1291,"name":"HUPO-PSI initiative; Quality Control working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5949,"fairsharing_record_id":614,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:43.849Z","updated_at":"2021-09-30T09:28:53.437Z","grant_id":2,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG005805","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5946,"fairsharing_record_id":614,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:43.776Z","updated_at":"2021-09-30T09:32:43.272Z","grant_id":1748,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM087221","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"615","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:36:01.000Z","updated_at":"2021-11-24T13:18:39.134Z","metadata":{"doi":"10.25504/FAIRsharing.78make","name":"Big Multiple Alignment Format","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigMaf.html","identifier":615,"description":"The bigMaf format stores multiple alignments in a format compatible with MAF files, which is then compressed and indexed as a bigBed. The bigMaf files are created using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigMaf.","abbreviation":"bigMaf","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"mafToBigBed"}]},"legacy_ids":["bsg-000697","bsg-s000697"],"name":"FAIRsharing record for: Big Multiple Alignment Format","abbreviation":"bigMaf","url":"https://fairsharing.org/10.25504/FAIRsharing.78make","doi":"10.25504/FAIRsharing.78make","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigMaf format stores multiple alignments in a format compatible with MAF files, which is then compressed and indexed as a bigBed. The bigMaf files are created using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigMaf.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Multiple sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5950,"fairsharing_record_id":615,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:43.875Z","updated_at":"2021-09-30T09:27:43.875Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"616","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:31.078Z","metadata":{"doi":"10.25504/FAIRsharing.htx8tt","name":"Minimum Information about a Cardiac Electrophysiology Experiment","status":"ready","contacts":[{"contact_name":"Stephen Granite","contact_email":"sgranite@jhu.edu","contact_orcid":"0000-0002-0956-7500"}],"homepage":"https://doi.org/10.1016/j.pbiomolbio.2011.07.001","citations":[{"doi":"10.1016/j.pbiomolbio.2011.07.001","pubmed_id":21745496,"publication_id":1819}],"identifier":616,"description":"Minimum Information about a Cardiac Electrophysiology Experiment (MICEE) is a reporting standard developed by an international group of leading experimental teams comprising an explicit minimum set of information deemed necessary for reproduction and utilization of published cardiac experimental electrophysiology research. The concept is that upon publication, data annotated according to the MICEE standard will be deposited by investigators in an online repository, with links provided in related publications. \nNote from the FAIRsharing team: the only available resource is the publication. ","abbreviation":"MICEE","support_links":[{"url":"davehops@jhu.edu","type":"Support email"}],"year_creation":2010},"legacy_ids":["bsg-000278","bsg-s000278"],"name":"FAIRsharing record for: Minimum Information about a Cardiac Electrophysiology Experiment","abbreviation":"MICEE","url":"https://fairsharing.org/10.25504/FAIRsharing.htx8tt","doi":"10.25504/FAIRsharing.htx8tt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimum Information about a Cardiac Electrophysiology Experiment (MICEE) is a reporting standard developed by an international group of leading experimental teams comprising an explicit minimum set of information deemed necessary for reproduction and utilization of published cardiac experimental electrophysiology research. The concept is that upon publication, data annotated according to the MICEE standard will be deposited by investigators in an online repository, with links provided in related publications. \nNote from the FAIRsharing team: the only available resource is the publication. ","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11181},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11602},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12087}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Electrophysiology"],"domains":["Report","Assay","Heart"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":1819,"pubmed_id":21745496,"title":"Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): standardised reporting for model reproducibility, interoperability, and data sharing.","year":2011,"url":"http://doi.org/10.1016/j.pbiomolbio.2011.07.001","authors":"Quinn TA et al.","journal":"Prog Biophys Mol Biol","doi":"10.1016/j.pbiomolbio.2011.07.001","created_at":"2021-09-30T08:25:44.247Z","updated_at":"2021-09-30T08:25:44.247Z"}],"licence_links":[],"grants":[{"id":5954,"fairsharing_record_id":616,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:27:43.975Z","updated_at":"2021-09-30T09:27:43.975Z","grant_id":null,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5953,"fairsharing_record_id":616,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:43.949Z","updated_at":"2021-09-30T09:27:43.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5951,"fairsharing_record_id":616,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:43.899Z","updated_at":"2021-09-30T09:30:34.206Z","grant_id":769,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL103727","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8089,"fairsharing_record_id":616,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:52.449Z","updated_at":"2021-09-30T09:30:52.509Z","grant_id":913,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8091,"fairsharing_record_id":616,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:52.957Z","updated_at":"2021-09-30T09:30:53.024Z","grant_id":917,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R24HL085343","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11603,"fairsharing_record_id":616,"organisation_id":4004,"relation":"funds","created_at":"2024-03-21T13:59:30.987Z","updated_at":"2024-03-21T13:59:30.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":4004,"name":"VPHi - Virtual Physiological Human Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"599","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:38.721Z","metadata":{"doi":"10.25504/FAIRsharing.vy4h4j","name":"Minimal Information for QTLs and Association Studies","status":"ready","contacts":[{"contact_name":"Jan Aerts","contact_email":"jan.aerts@bbsrc.ac.uk","contact_orcid":"0000-0002-6416-2717"}],"homepage":"http://miqas.sourceforge.net/","identifier":599,"description":"The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file.","abbreviation":"MIQAS","support_links":[{"url":"http://mibbi.sf.net/projects/MIQAS.shtml","type":"Help documentation"}],"associated_tools":[{"url":"http://www.gridqtl.org.uk","name":"GRID QTL"},{"url":"https://www.kyazma.nl/index.php/MapQTL/","name":"MapQTL"}]},"legacy_ids":["bsg-000158","bsg-s000158"],"name":"FAIRsharing record for: Minimal Information for QTLs and Association Studies","abbreviation":"MIQAS","url":"https://fairsharing.org/10.25504/FAIRsharing.vy4h4j","doi":"10.25504/FAIRsharing.vy4h4j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIQAS set of rules accompanied with the standardized XML and tab-delimited file formats will serve two goals: to encourage research groups that wish to publish a QTL paper to provide and submit the necessary information that would make meta-analysis possible. to allow easy interchange of data between different QTL and association analysis databases. Databases that implement the standardized XML format will typically write an import and an export filter to read data from and dump data into that an XML file.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11572},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11959}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Phenotype","Quantitative trait loci","Genome-wide association study"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":5925,"fairsharing_record_id":599,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:43.052Z","updated_at":"2021-09-30T09:27:43.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5928,"fairsharing_record_id":599,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:27:43.171Z","updated_at":"2021-09-30T09:27:43.171Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5926,"fairsharing_record_id":599,"organisation_id":1849,"relation":"maintains","created_at":"2021-09-30T09:27:43.088Z","updated_at":"2021-09-30T09:27:43.088Z","grant_id":null,"is_lead":false,"saved_state":{"id":1849,"name":"Minimum Information for QTLs and Association Studies (MIQAS) Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5927,"fairsharing_record_id":599,"organisation_id":2458,"relation":"maintains","created_at":"2021-09-30T09:27:43.130Z","updated_at":"2021-09-30T09:27:43.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":2458,"name":"Roslin Institue","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5929,"fairsharing_record_id":599,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:43.221Z","updated_at":"2021-09-30T09:27:43.221Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"600","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2021-11-24T13:14:09.143Z","metadata":{"doi":"10.25504/FAIRsharing.c86z66","name":"Medaka Stage Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/developmental-stage-ontologies/wiki/OlatDv","identifier":600,"description":"Life cycle stages for Medaka. OlatDv is based on the original medaka stage ontology MFO by Thorsten Henrich. Currently it includes only pre-adult stages.","abbreviation":"OlatDv","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OLATDV","name":"OLATDV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/olatdv.html","name":"olatdv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000876","bsg-s000876"],"name":"FAIRsharing record for: Medaka Stage Ontology","abbreviation":"OlatDv","url":"https://fairsharing.org/10.25504/FAIRsharing.c86z66","doi":"10.25504/FAIRsharing.c86z66","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Medaka. OlatDv is based on the original medaka stage ontology MFO by Thorsten Henrich. Currently it includes only pre-adult stages.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Aquaculture","Developmental Biology","Life Science"],"domains":["Life cycle stage"],"taxonomies":["Oryzias latipes"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":543,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"601","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-12-27T17:22:25.468Z","metadata":{"doi":"10.25504/FAIRsharing.bkejsq","name":"Human Physiology Simulation Ontology","status":"ready","contacts":[{"contact_name":"Michaela Guendel","contact_email":"michaela.guendel@scai-extern.fraunhofer.de"}],"homepage":"http://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads.html","citations":[],"identifier":601,"description":"Large biomedical simulation initiatives, such as the Virtual Physiological Human (VPH), are substantially dependent on controlled vocabularies to facilitate the exchange of information, of data and of models. Hindering these initiatives is a lack of a comprehensive ontology that covers the essential concepts of the simulation domain. We propose a first version of a newly constructed ontology, HuPSON, as a basis for shared semantics and interoperability of simulations, of models, of algorithms and of other resources in this domain. The ontology is based on the Basic Formal Ontology, and adheres to the MIREOT principles.","abbreviation":"HUPSON","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HUPSON","name":"HUPSON","portal":"BioPortal"}]},"legacy_ids":["bsg-000880","bsg-s000880"],"name":"FAIRsharing record for: Human Physiology Simulation Ontology","abbreviation":"HUPSON","url":"https://fairsharing.org/10.25504/FAIRsharing.bkejsq","doi":"10.25504/FAIRsharing.bkejsq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Large biomedical simulation initiatives, such as the Virtual Physiological Human (VPH), are substantially dependent on controlled vocabularies to facilitate the exchange of information, of data and of models. Hindering these initiatives is a lack of a comprehensive ontology that covers the essential concepts of the simulation domain. We propose a first version of a newly constructed ontology, HuPSON, as a basis for shared semantics and interoperability of simulations, of models, of algorithms and of other resources in this domain. The ontology is based on the Basic Formal Ontology, and adheres to the MIREOT principles.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12113},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16950}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Systems Biology","Medical Informatics"],"domains":["Modeling and simulation","Algorithm"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"603","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:21.544Z","metadata":{"doi":"10.25504/FAIRsharing.grqm4q","name":"CDISC Protocol Representation Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/protocol","identifier":603,"description":"The CDISC Protocol Representation Model (PRM) provides a standard for planning and designing a research protocol with focus on study characteristics such as study design, eligibility criteria, and requirements from the ClinicalTrials.gov, World Health Organization (WHO) registries, and EudraCT registries. PRM assists in automating CRF creation and EHR configuration to support clinical research and data sharing.","abbreviation":"CDISC PRM"},"legacy_ids":["bsg-000145","bsg-s000145"],"name":"FAIRsharing record for: CDISC Protocol Representation Model","abbreviation":"CDISC PRM","url":"https://fairsharing.org/10.25504/FAIRsharing.grqm4q","doi":"10.25504/FAIRsharing.grqm4q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CDISC Protocol Representation Model (PRM) provides a standard for planning and designing a research protocol with focus on study characteristics such as study design, eligibility criteria, and requirements from the ClinicalTrials.gov, World Health Organization (WHO) registries, and EudraCT registries. PRM assists in automating CRF creation and EHR configuration to support clinical research and data sharing.","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11274},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11806},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11973},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12422}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Protocol"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5930,"fairsharing_record_id":603,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:43.262Z","updated_at":"2021-09-30T09:27:43.262Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"594","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T10:57:39.000Z","updated_at":"2022-02-08T10:28:51.341Z","metadata":{"doi":"10.25504/FAIRsharing.ad4856","name":"Metadata Application Profile: eBank UK project","status":"ready","contacts":[{"contact_name":"Monica Duke","contact_email":"monica.duke@jisc.ac.uk","contact_orcid":"0000-0003-2588-7544"}],"homepage":"http://www.ukoln.ac.uk/projects/ebank-uk/schemas/profile/","identifier":594,"description":"The eBank UK project has created a repository of crystallography datasets (eCrystals) and a metadata profile (Dublin Core Application Profile) has been designed to describe the metadata exposed by the repository using OAI-PMH. The eBank project ended in 2007 but both the application profile and the repository are still available.","abbreviation":null,"support_links":[{"url":"http://www.ukoln.ac.uk/repositories/digirep/index/EBank_Application_Profile.html","name":"Wiki documentation page","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-001306","bsg-s001306"],"name":"FAIRsharing record for: Metadata Application Profile: eBank UK project","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ad4856","doi":"10.25504/FAIRsharing.ad4856","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eBank UK project has created a repository of crystallography datasets (eCrystals) and a metadata profile (Dublin Core Application Profile) has been designed to describe the metadata exposed by the repository using OAI-PMH. The eBank project ended in 2007 but both the application profile and the repository are still available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Natural Science"],"domains":["X-ray crystallography assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5914,"fairsharing_record_id":594,"organisation_id":815,"relation":"maintains","created_at":"2021-09-30T09:27:42.667Z","updated_at":"2021-09-30T09:27:42.667Z","grant_id":null,"is_lead":true,"saved_state":{"id":815,"name":"eBank UK Project, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5916,"fairsharing_record_id":594,"organisation_id":689,"relation":"maintains","created_at":"2021-09-30T09:27:42.723Z","updated_at":"2021-09-30T09:27:42.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":689,"name":"Department of Chemistry, University of Southampton, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5915,"fairsharing_record_id":594,"organisation_id":2901,"relation":"maintains","created_at":"2021-09-30T09:27:42.699Z","updated_at":"2021-09-30T09:27:42.699Z","grant_id":null,"is_lead":false,"saved_state":{"id":2901,"name":"UKOLN, University of Bath, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5917,"fairsharing_record_id":594,"organisation_id":1464,"relation":"maintains","created_at":"2021-09-30T09:27:42.748Z","updated_at":"2021-09-30T09:27:42.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":1464,"name":"Intelligence, Agents \u0026 Multimedia Group, Department of Electronics \u0026 Computer Science, University of Southampton, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"595","type":"fairsharing_records","attributes":{"created_at":"2020-04-26T10:16:15.000Z","updated_at":"2022-07-20T09:06:11.049Z","metadata":{"doi":"10.25504/FAIRsharing.y4RpVy","name":"Data Documentation Initiative Controlled Vocabularies","status":"ready","contacts":[{"contact_name":"Sanda Ionescu","contact_email":"sandai@umich.edu"}],"homepage":"https://ddialliance.org/controlled-vocabularies","citations":[],"identifier":595,"description":"The Data Documentation Initiative (DDI) Controlled Vocabularies Group (CVG) has created a set of controlled vocabularies (CVs) that can be used with DDI as well as for other purposes and applications. The DDI CVs are used to aid in the description and documentation of data in the social science research community. The published DDI-CVs work with both versions of the DDI specification (DDI-L and DDI-C).","abbreviation":"DDI CVs","support_links":[{"url":"https://ddialliance.org/about/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://ddialliance.org/about/about-the-alliance","name":"About","type":"Help documentation"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"},{"url":"https://ddialliance.org/controlled-vocabularies#policy","name":"Versioning Policy","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-001469","bsg-s001469"],"name":"FAIRsharing record for: Data Documentation Initiative Controlled Vocabularies","abbreviation":"DDI CVs","url":"https://fairsharing.org/10.25504/FAIRsharing.y4RpVy","doi":"10.25504/FAIRsharing.y4RpVy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Documentation Initiative (DDI) Controlled Vocabularies Group (CVG) has created a set of controlled vocabularies (CVs) that can be used with DDI as well as for other purposes and applications. The DDI CVs are used to aid in the description and documentation of data in the social science research community. The published DDI-CVs work with both versions of the DDI specification (DDI-L and DDI-C).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17331},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12951},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13345}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2909,"pubmed_id":null,"title":"Controlled Vocabularies for DDI 3: Enhancing Machine-Actionability","year":2010,"url":"https://doi.org/10.29173/iq649","authors":"Taina Jaaskelainen, Meinhard Moschner, Joachim Wackerow","journal":"IASSIST quarterly / International Association for Social Science Information Service and Technology 33(1):34","doi":null,"created_at":"2021-09-30T08:27:58.191Z","updated_at":"2021-09-30T08:27:58.191Z"}],"licence_links":[],"grants":[{"id":5918,"fairsharing_record_id":595,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:27:42.774Z","updated_at":"2021-09-30T09:27:42.774Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"596","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-08-02T20:19:42.310Z","metadata":{"doi":"10.25504/FAIRsharing.q09hck","name":"Social Inset Behavior Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/sibo","citations":[],"identifier":596,"description":"The Social Inset Behavior Ontology mostly contains terms related to Chemical, Anatomy, Behavior, Species. The most developed use cases are for Pogonomyrmex harvester ant foraging and apis mellifera honeybee colony defense.\n","abbreviation":"SIBO","support_links":[],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SIBO","name":"SIBO","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/sibo.html","name":"OBO Foundry - sibo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000772","bsg-s000772"],"name":"FAIRsharing record for: Social Inset Behavior Ontology","abbreviation":"SIBO","url":"https://fairsharing.org/10.25504/FAIRsharing.q09hck","doi":"10.25504/FAIRsharing.q09hck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Social Inset Behavior Ontology mostly contains terms related to Chemical, Anatomy, Behavior, Species. The most developed use cases are for Pogonomyrmex harvester ant foraging and apis mellifera honeybee colony defense.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":[],"taxonomies":["Apis mellifera"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2786,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"597","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:18:09.000Z","updated_at":"2022-11-01T11:58:33.325Z","metadata":{"doi":"10.25504/FAIRsharing.qcziIV","name":"FAIR Metrics - Detailed Provenance","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_R1.2","citations":[],"identifier":597,"description":"FM-R1.2 is a metric concerned with whether there is provenance information associated with the data, covering at least two primary types of provenance information: Who/what/When produced the data (i.e. for citation); and Why/How was the data produced (i.e. to understand context and relevance of the data). Several IRIs must be provided to fulfil this metric. At least one of these points to one of the vocabularies used to describe citational provenance (e.g. dublin core). Additionally, at least one points to one of the vocabularies (likely domain-specific) that is used to describe contextual provenance (e.g. EDAM). This metric applies to part R1.2 of the FAIR Principles.","abbreviation":"FM-R1.2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}]},"legacy_ids":["bsg-001354","bsg-s001354"],"name":"FAIRsharing record for: FAIR Metrics - Detailed Provenance","abbreviation":"FM-R1.2","url":"https://fairsharing.org/10.25504/FAIRsharing.qcziIV","doi":"10.25504/FAIRsharing.qcziIV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-R1.2 is a metric concerned with whether there is provenance information associated with the data, covering at least two primary types of provenance information: Who/what/When produced the data (i.e. for citation); and Why/How was the data produced (i.e. to understand context and relevance of the data). Several IRIs must be provided to fulfil this metric. At least one of these points to one of the vocabularies used to describe citational provenance (e.g. dublin core). Additionally, at least one points to one of the vocabularies (likely domain-specific) that is used to describe contextual provenance (e.g. EDAM). This metric applies to part R1.2 of the FAIR Principles.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13186},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13216}],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1406,"relation":"undefined"}],"grants":[{"id":5919,"fairsharing_record_id":597,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:42.799Z","updated_at":"2021-09-30T09:27:42.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5920,"fairsharing_record_id":597,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:42.826Z","updated_at":"2021-09-30T09:27:42.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5921,"fairsharing_record_id":597,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:42.888Z","updated_at":"2021-09-30T09:27:42.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5922,"fairsharing_record_id":597,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:42.930Z","updated_at":"2021-09-30T09:27:42.930Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"598","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T11:26:29.000Z","updated_at":"2024-05-31T11:09:00.149Z","metadata":{"doi":"10.25504/FAIRsharing.f5d440","name":"Space Physics Archive Search and Extract Simulation Extensions","status":"ready","contacts":[{"contact_name":"Metadata Working Group Contact","contact_email":"vxo-spase-smwg@googlegroups.com"}],"homepage":"http://www.spase-group.org/data/simulation/","citations":[],"identifier":598,"description":"The SPASE Simulation Extensions enables all users and applications of SPASE to integrate simulation data into their (database) systems, adding simulation data searching and handling to what is already possible for observational data. The SPASE Simulation Extensions were originally developed by the Integrated Medium for Planetary Exploration (IMPEx) project and released as the IMPEx Data Model. IMPEx was a European Union (EU) Seventh Framework Programme sponsored project.","abbreviation":"SPASE Simulation Extensions","support_links":[{"url":"https://cordis.europa.eu/result/rcn/175920_en.html","name":"Final Report Summary - IMPEX","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001307","bsg-s001307"],"name":"FAIRsharing record for: Space Physics Archive Search and Extract Simulation Extensions","abbreviation":"SPASE Simulation Extensions","url":"https://fairsharing.org/10.25504/FAIRsharing.f5d440","doi":"10.25504/FAIRsharing.f5d440","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SPASE Simulation Extensions enables all users and applications of SPASE to integrate simulation data into their (database) systems, adding simulation data searching and handling to what is already possible for observational data. The SPASE Simulation Extensions were originally developed by the Integrated Medium for Planetary Exploration (IMPEx) project and released as the IMPEx Data Model. IMPEx was a European Union (EU) Seventh Framework Programme sponsored project.","linked_records":[],"linking_records":[{"linking_record_name":"International Heliophysics Data Environment Alliance","linking_record_id":5484,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19837}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Earth Science"],"domains":["Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5923,"fairsharing_record_id":598,"organisation_id":2606,"relation":"maintains","created_at":"2021-09-30T09:27:42.971Z","updated_at":"2021-09-30T09:27:42.971Z","grant_id":null,"is_lead":true,"saved_state":{"id":2606,"name":"Space Physics Archive Search and Extract (SPASE) Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5924,"fairsharing_record_id":598,"organisation_id":1460,"relation":"maintains","created_at":"2021-09-30T09:27:43.013Z","updated_at":"2021-09-30T09:27:43.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":1460,"name":"Integrated Medium for Planetary Exploration (IMPEX), Austria","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"604","type":"fairsharing_records","attributes":{"created_at":"2018-04-17T12:49:26.000Z","updated_at":"2021-11-24T13:14:22.115Z","metadata":{"doi":"10.25504/FAIRsharing.FSIfv8","name":"Domain Resource Application Ontology","status":"ready","contacts":[{"contact_name":"FAIRsharing Team","contact_email":"contact@fairsharing.org"}],"homepage":"https://github.com/FAIRsharing/domain-ontology","identifier":604,"description":"The Domain Resource Application Ontology (DRAO) is an application ontology describing cross-discipline research domains used within FAIRsharing records by curators and the user community. It is built in conjunction with the Subject Resource Application Ontology (SRAO), which describes higher-level subject areas / disciplines. All classes within DRAO come from over 50 publicly-available ontologies.","abbreviation":"DRAO","support_links":[{"url":"https://github.com/FAIRsharing/domain-ontology/issues","name":"DRAO Issue Tracker","type":"Github"},{"url":"https://github.com/FAIRsharing/domain-ontology/blob/master/Development.md","name":"DRAO Developer and Build Notes","type":"Github"},{"url":"https://twitter.com/FAIRsharing_org","name":"@FAIRsharing_org","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001178","bsg-s001178"],"name":"FAIRsharing record for: Domain Resource Application Ontology","abbreviation":"DRAO","url":"https://fairsharing.org/10.25504/FAIRsharing.FSIfv8","doi":"10.25504/FAIRsharing.FSIfv8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Domain Resource Application Ontology (DRAO) is an application ontology describing cross-discipline research domains used within FAIRsharing records by curators and the user community. It is built in conjunction with the Subject Resource Application Ontology (SRAO), which describes higher-level subject areas / disciplines. All classes within DRAO come from over 50 publicly-available ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Humanities","Natural Science","Earth Science","Agriculture","Life Science","Computer Science","Biomedical Science"],"domains":["Resource metadata","Classification","FAIR"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1937,"relation":"undefined"}],"grants":[{"id":5931,"fairsharing_record_id":604,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:43.292Z","updated_at":"2021-09-30T09:27:43.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"605","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-05-19T09:30:23.773Z","metadata":{"doi":"10.25504/FAIRsharing.2kq1fs","name":"CONsolidated Standards of Reporting Trials - Unofficial Extensions","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":"0000-0002-6881-6984"}],"homepage":"https://www.equator-network.org/?post_type=eq_guidelines\u0026eq_guidelines_study_design=0\u0026eq_guidelines_clinical_specialty=0\u0026eq_guidelines_report_section=0\u0026s=+CONSORT+extension\u0026btn_submit=Search+Reporting+Guidelines","citations":[],"identifier":605,"description":"The main CONSORT Statement is based on the \"standard\" two-group parallel design. There are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). However, this record describes those modifications to the CONSORT guidelines that are NOT developed with the involvement of the CONSORT Group do not have permission to name their work \"CONSORT\". The unofficial extensions described here have modified the CONSORT Statement without the involvement of the Group.\nPlease note the currently-listed homepage includes both official and unofficial CONSORT extensions, while the official CONSORT website is fixed.\n\n","abbreviation":"CONSORT - UE","support_links":[{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"https://twitter.com/CONSORTing","type":"Twitter"}]},"legacy_ids":["bsg-000143","bsg-s000143"],"name":"FAIRsharing record for: CONsolidated Standards of Reporting Trials - Unofficial Extensions","abbreviation":"CONSORT - UE","url":"https://fairsharing.org/10.25504/FAIRsharing.2kq1fs","doi":"10.25504/FAIRsharing.2kq1fs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The main CONSORT Statement is based on the \"standard\" two-group parallel design. There are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). However, this record describes those modifications to the CONSORT guidelines that are NOT developed with the involvement of the CONSORT Group do not have permission to name their work \"CONSORT\". The unofficial extensions described here have modified the CONSORT Statement without the involvement of the Group.\nPlease note the currently-listed homepage includes both official and unofficial CONSORT extensions, while the official CONSORT website is fixed.\n\n","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11978},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12425}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Preclinical Studies"],"domains":["Data acquisition"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1425,"pubmed_id":17200612,"title":"Reporting data on homeopathic treatments (RedHot): a supplement to CONSORT*.","year":2007,"url":"http://doi.org/10.1159/000097073","authors":"Dean ME,Coulter MK,Fisher P,Jobst K,Walach H","journal":"Forsch Komplementmed","doi":"10.1159/000097073","created_at":"2021-09-30T08:24:59.276Z","updated_at":"2021-09-30T08:24:59.276Z"},{"id":1427,"pubmed_id":17309373,"title":"Reporting data on homeopathic treatments (RedHot): a supplement to CONSORT.","year":2007,"url":"http://doi.org/10.1089/acm.2006.6352","authors":"Dean ME,Coulter MK,Fisher P,Jobst KA,Walach H","journal":"J Altern Complement Med","doi":"10.1089/acm.2006.6352","created_at":"2021-09-30T08:24:59.585Z","updated_at":"2021-09-30T08:24:59.585Z"},{"id":1535,"pubmed_id":17227747,"title":"Reporting data on homeopathic treatments (RedHot): a supplement to CONSORT.","year":2007,"url":"http://doi.org/10.1016/j.homp.2006.11.006","authors":"Dean ME,Coulter MK,Fisher P,Jobst K,Walach H","journal":"Homeopathy","doi":"10.1016/j.homp.2006.11.006","created_at":"2021-09-30T08:25:11.894Z","updated_at":"2021-09-30T08:25:11.894Z"},{"id":1536,"pubmed_id":18334139,"title":"[Improving the quality of reporting Chinese herbal medicine trials: an elaborated checklist].","year":2008,"url":"http://doi.org/10.3736/jcim20080302","authors":"Fei YT,Liu JP","journal":"Zhong Xi Yi Jie He Xue Bao","doi":"10.3736/jcim20080302","created_at":"2021-09-30T08:25:12.003Z","updated_at":"2021-09-30T08:25:12.003Z"},{"id":1537,"pubmed_id":14763633,"title":"Randomized controlled trials to investigate occupational therapy research questions.","year":2004,"url":"http://doi.org/10.5014/ajot.58.1.24","authors":"Nelson DL,Mathiowetz V","journal":"Am J Occup Ther","doi":"10.5014/ajot.58.1.24","created_at":"2021-09-30T08:25:12.174Z","updated_at":"2021-09-30T08:25:12.174Z"},{"id":1538,"pubmed_id":14644692,"title":"Evidence-based behavioral medicine: what is it and how do we achieve it?","year":2003,"url":"http://doi.org/10.1207/S15324796ABM2603_01","authors":"Davidson KW,Goldstein M,Kaplan RM,Kaufmann PG,Knatterud GL,Orleans CT,Spring B,Trudeau KJ,Whitlock EP","journal":"Ann Behav Med","doi":"10.1207/S15324796ABM2603_01","created_at":"2021-09-30T08:25:12.278Z","updated_at":"2021-09-30T08:25:12.278Z"},{"id":3836,"pubmed_id":null,"title":"An update to SPIRIT and CONSORT reporting guidelines to enhance transparency in randomized trials","year":2022,"url":"http://dx.doi.org/10.1038/s41591-022-01989-8","authors":"Hopewell, Sally; Boutron, Isabelle; Chan, An-Wen; Collins, Gary S.; de Beyer, Jennifer A.; Hróbjartsson, Asbjørn; Nejstgaard, Camilla Hansen; Østengaard, Lasse; Schulz, Kenneth F.; Tunn, Ruth; Moher, David; ","journal":"Nat Med","doi":"10.1038/s41591-022-01989-8","created_at":"2023-04-05T14:03:34.297Z","updated_at":"2023-04-05T14:03:34.297Z"}],"licence_links":[],"grants":[{"id":5932,"fairsharing_record_id":605,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:43.315Z","updated_at":"2021-09-30T09:27:43.315Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5934,"fairsharing_record_id":605,"organisation_id":81,"relation":"funds","created_at":"2021-09-30T09:27:43.371Z","updated_at":"2021-09-30T09:27:43.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":81,"name":"American Occupational Therapy Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5933,"fairsharing_record_id":605,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:27:43.341Z","updated_at":"2021-09-30T09:27:43.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5935,"fairsharing_record_id":605,"organisation_id":80,"relation":"funds","created_at":"2021-09-30T09:27:43.410Z","updated_at":"2021-09-30T09:27:43.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":80,"name":"American Occupational Therapy Association, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"618","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T13:48:07.000Z","updated_at":"2022-07-20T11:05:16.221Z","metadata":{"doi":"10.25504/FAIRsharing.d0a681","name":"EuroVoc","status":"ready","contacts":[],"homepage":"https://op.europa.eu/en/web/eu-vocabularies/th-dataset/-/resource/dataset/eurovoc","citations":[],"identifier":618,"description":"EuroVoc is a multilingual, multidisciplinary thesaurus covering the activities of the EU, the European Parliament in particular. It contains terms in 23 official EU languages, plus in three languages of countries which are candidates for EU accession. The aim of the thesaurus is to provide the information management and dissemination services with a coherent indexing tool for the effective management of their documentary resources and to enable users to carry out documentary searches using a controlled vocabulary.","abbreviation":"EuroVoc","support_links":[{"url":"https://op.europa.eu/en/web/about-us/contact-us","name":"Publications Office Contact Form","type":"Contact form"},{"url":"https://op.europa.eu/o/opportal-service/euvoc-download-handler?cellarURI=http%3A%2F%2Fpublications.europa.eu%2Fresource%2Fdistribution%2Fdocumentation%2Feurovoc%2Fhandbook%2Fpdf%2Fstddoc%2FEuroVoc-Handbook.pdf\u0026fileName=EuroVoc-Handbook.pdf","name":"Documentation","type":"Help documentation"}],"year_creation":1982},"legacy_ids":["bsg-001553","bsg-s001553"],"name":"FAIRsharing record for: EuroVoc","abbreviation":"EuroVoc","url":"https://fairsharing.org/10.25504/FAIRsharing.d0a681","doi":"10.25504/FAIRsharing.d0a681","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EuroVoc is a multilingual, multidisciplinary thesaurus covering the activities of the EU, the European Parliament in particular. It contains terms in 23 official EU languages, plus in three languages of countries which are candidates for EU accession. The aim of the thesaurus is to provide the information management and dissemination services with a coherent indexing tool for the effective management of their documentary resources and to enable users to carry out documentary searches using a controlled vocabulary.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Fisheries Science","Public Finance","Environmental Science","Forest Management","Transportation Planning","Social Science","Geography","Energy Engineering","Business Administration","Agriculture","Social Policy","Linguistics","Political Science"],"domains":["Food","Transport"],"taxonomies":["Not applicable"],"user_defined_tags":["Employment","International Relations","Trade"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":5955,"fairsharing_record_id":618,"organisation_id":2381,"relation":"maintains","created_at":"2021-09-30T09:27:43.999Z","updated_at":"2021-09-30T09:27:43.999Z","grant_id":null,"is_lead":true,"saved_state":{"id":2381,"name":"Publications Office of the European Union","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"619","type":"fairsharing_records","attributes":{"created_at":"2015-08-18T09:44:38.000Z","updated_at":"2021-11-24T13:20:13.355Z","metadata":{"doi":"10.25504/FAIRsharing.6xm1gd","name":"STereoLithography","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"healthcare@3dsystems.com"}],"homepage":"http://www.3dsystems.com/quickparts/learning-center/what-is-stl-file","citations":[],"identifier":619,"description":"STL files describe only the surface geometry of a three-dimensional object without any representation of color, texture or other common CAD model attributes. The STL format specifies both ASCII and binary representations.","abbreviation":"STL","support_links":[{"url":"http://www.3dsystems.com/contact#odm","type":"Contact form"},{"url":"https://en.wikipedia.org/wiki/STL_(file_format)","name":"Wikipedia","type":"Wikipedia"}],"year_creation":1987},"legacy_ids":["bsg-000616","bsg-s000616"],"name":"FAIRsharing record for: STereoLithography","abbreviation":"STL","url":"https://fairsharing.org/10.25504/FAIRsharing.6xm1gd","doi":"10.25504/FAIRsharing.6xm1gd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STL files describe only the surface geometry of a three-dimensional object without any representation of color, texture or other common CAD model attributes. The STL format specifies both ASCII and binary representations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Imaging","Structure"],"taxonomies":["Not applicable"],"user_defined_tags":["3d printing"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5956,"fairsharing_record_id":619,"organisation_id":6,"relation":"maintains","created_at":"2021-09-30T09:27:44.025Z","updated_at":"2021-09-30T09:27:44.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":6,"name":"3D Systems, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"611","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-03-24T10:53:52.890Z","metadata":{"doi":"10.25504/FAIRsharing.faej7j","name":"Phallusia mammillata Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":611,"description":"The first ontology describing the anatomy and the development of Phallusia mammillata.","abbreviation":"PHMAMMADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHMAMMADO","name":"PHMAMMADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000786","bsg-s000786"],"name":"FAIRsharing record for: Phallusia mammillata Anatomy and Development Ontology","abbreviation":"PHMAMMADO","url":"https://fairsharing.org/10.25504/FAIRsharing.faej7j","doi":"10.25504/FAIRsharing.faej7j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Phallusia mammillata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Phallusia mammillata"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10455,"fairsharing_record_id":611,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T10:51:32.605Z","updated_at":"2023-03-24T10:51:32.605Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"612","type":"fairsharing_records","attributes":{"created_at":"2021-01-11T14:14:36.000Z","updated_at":"2022-07-20T12:35:42.229Z","metadata":{"doi":"10.25504/FAIRsharing.5bd3ef","name":"United States Geological Survey Thesaurus","status":"ready","contacts":[{"contact_email":"pschweitzer@usgs.gov"}],"homepage":"https://apps.usgs.gov/thesaurus/","citations":[],"identifier":612,"description":"The United States Geological Survey Thesaurus (USGS Thesaurus) is a controlled vocabulary providing category terms for scientific information products generated by the U.S. Geological Survey. It is designed as a formal thesaurus conforming to ANSI/NISO Z39.19. The thesaurus is limited in depth and specificity of coverage. It does not attempt to replicate existing controlled vocabularies. The intention is to provide sufficient contextual cues for the information seeker to determine the relevance of a resource, not to precisely locate the answer to a specific user question.","abbreviation":"USGS Thesaurus","support_links":[{"url":"https://apps.usgs.gov/thesaurus/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005},"legacy_ids":["bsg-001575","bsg-s001575"],"name":"FAIRsharing record for: United States Geological Survey Thesaurus","abbreviation":"USGS Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.5bd3ef","doi":"10.25504/FAIRsharing.5bd3ef","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The United States Geological Survey Thesaurus (USGS Thesaurus) is a controlled vocabulary providing category terms for scientific information products generated by the U.S. Geological Survey. It is designed as a formal thesaurus conforming to ANSI/NISO Z39.19. The thesaurus is limited in depth and specificity of coverage. It does not attempt to replicate existing controlled vocabularies. The intention is to provide sufficient contextual cues for the information seeker to determine the relevance of a resource, not to precisely locate the answer to a specific user question.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Data Management","Natural Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"USGS Policies and Notices","licence_id":834,"licence_url":"https://www.usgs.gov/policies-and-notices","link_id":626,"relation":"undefined"}],"grants":[{"id":5939,"fairsharing_record_id":612,"organisation_id":2953,"relation":"maintains","created_at":"2021-09-30T09:27:43.550Z","updated_at":"2021-09-30T09:27:43.550Z","grant_id":null,"is_lead":true,"saved_state":{"id":2953,"name":"United States Geological Survey (USGS)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"620","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:39.235Z","metadata":{"doi":"10.25504/FAIRsharing.rz4vfg","name":"FASTA Sequence Format","status":"ready","contacts":[{"contact_name":"William R. Pearson","contact_email":"wrp@virginia.edu"}],"homepage":"http://blast.ncbi.nlm.nih.gov/blastcgihelp.shtml","identifier":620,"description":"FASTA format is a text-based format for representing either nucleotide sequences or peptide sequences, in which nucleotides or amino acids are represented using single-letter codes. The format also allows for sequence names and comments to precede the sequences.","abbreviation":"FASTA","support_links":[{"url":"https://www.ncbi.nlm.nih.gov/mailman/listinfo/blast-announce","name":"mailing list","type":"Mailing list"}],"year_creation":1985},"legacy_ids":["bsg-000228","bsg-s000228"],"name":"FAIRsharing record for: FASTA Sequence Format","abbreviation":"FASTA","url":"https://fairsharing.org/10.25504/FAIRsharing.rz4vfg","doi":"10.25504/FAIRsharing.rz4vfg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FASTA format is a text-based format for representing either nucleotide sequences or peptide sequences, in which nucleotides or amino acids are represented using single-letter codes. The format also allows for sequence names and comments to precede the sequences.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10997},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11158},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11613},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11987}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1237,"pubmed_id":2983426,"title":"Rapid and sensitive protein similarity searches.","year":1985,"url":"http://doi.org/10.1126/science.2983426","authors":"Lipman DJ,Pearson WR","journal":"Science","doi":"10.1126/science.2983426","created_at":"2021-09-30T08:24:37.999Z","updated_at":"2021-09-30T08:24:37.999Z"}],"licence_links":[],"grants":[{"id":5957,"fairsharing_record_id":620,"organisation_id":2944,"relation":"maintains","created_at":"2021-09-30T09:27:44.049Z","updated_at":"2021-09-30T09:27:44.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5958,"fairsharing_record_id":620,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:44.075Z","updated_at":"2021-09-30T09:27:44.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"707","type":"fairsharing_records","attributes":{"created_at":"2020-01-08T13:37:40.000Z","updated_at":"2022-07-20T09:33:31.909Z","metadata":{"name":"Thesaurus of Plant Characteristics","status":"deprecated","contacts":[{"contact_name":"Eric Garnier","contact_email":"Eric.GARNIER@cefe.cnrs.fr"}],"homepage":"http://top-thesaurus.org/","citations":[{"doi":"https://doi.org/10.1111/1365-2745.12698","publication_id":2694}],"identifier":707,"description":"TOP, a Thesaurus Of Plant characteristics, defines standards for a functional approach to plant diversity by stabilizing the terminology for concepts widely used in ecology and evolution. TOP provides names, definitions, formal units and synonyms for more than 700 plant characteristics: plant traits and environmental associations. ","abbreviation":"TOP","year_creation":2016,"deprecation_date":"2022-06-30","deprecation_reason":"This record has been deprecated because the homepage no longer works, and we have not been able to get in touch with the contacts listed for this resource. Although this ontology remains available via the AgroPortal links, please use with caution. If you have any information regarding this resource, please get in touch."},"legacy_ids":["bsg-001427","bsg-s001427"],"name":"FAIRsharing record for: Thesaurus of Plant Characteristics","abbreviation":"TOP","url":"https://fairsharing.org/fairsharing_records/707","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TOP, a Thesaurus Of Plant characteristics, defines standards for a functional approach to plant diversity by stabilizing the terminology for concepts widely used in ecology and evolution. TOP provides names, definitions, formal units and synonyms for more than 700 plant characteristics: plant traits and environmental associations. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Environmental Science","Ecology","Biodiversity"],"domains":["Evolution","Phenotype"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Argentina","Australia","Canada","France","Germany","India","Italy","Netherlands","United States"],"publications":[{"id":2694,"pubmed_id":null,"title":"Towards a thesaurus of plant characteristics: an ecological contribution","year":2016,"url":"http://doi.org/https://doi.org/10.1111/1365-2745.12698","authors":"Garnier, Eric and Stahl, Ulrike et al","journal":"Journal of Ecology","doi":"https://doi.org/10.1111/1365-2745.12698","created_at":"2021-09-30T08:27:30.863Z","updated_at":"2021-09-30T08:27:30.863Z"}],"licence_links":[],"grants":[{"id":6055,"fairsharing_record_id":707,"organisation_id":1782,"relation":"maintains","created_at":"2021-09-30T09:27:47.371Z","updated_at":"2021-09-30T09:27:47.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":1782,"name":"Max Planck Institute for Biogeochemistry","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6053,"fairsharing_record_id":707,"organisation_id":3101,"relation":"maintains","created_at":"2021-09-30T09:27:47.320Z","updated_at":"2021-09-30T09:27:47.320Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6054,"fairsharing_record_id":707,"organisation_id":1134,"relation":"maintains","created_at":"2021-09-30T09:27:47.344Z","updated_at":"2021-09-30T09:27:47.344Z","grant_id":null,"is_lead":false,"saved_state":{"id":1134,"name":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6056,"fairsharing_record_id":707,"organisation_id":390,"relation":"maintains","created_at":"2021-09-30T09:27:47.394Z","updated_at":"2021-09-30T09:27:47.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":390,"name":"CEFE, Montpellier, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"708","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T14:26:08.000Z","updated_at":"2021-11-24T13:17:08.623Z","metadata":{"doi":"10.25504/FAIRsharing.338ze0","name":"Astronomy Visualization Metadata","status":"ready","contacts":[{"contact_name":"Robert Hurt","contact_email":"hurt@ipac.caltech.edu"}],"homepage":"https://www.virtualastronomy.org/avm_metadata.php","identifier":708,"description":"The primary focus of the AVM standard is on print-ready and screen ready astronomical imagery, which has been rendered from telescopic observations (also known as “pretty pictures”). Such images can combine data acquired at different wavebands and from different observatories. While the primary intent is to cover data-derived astronomical images, there are broader uses as well. Specifically, the most general subset of this schema is also appropriate for describing artwork and illustrations of astronomical subject matter.","abbreviation":"AVM","support_links":[{"url":"https://www.virtualastronomy.org/AVM_DRAFTVersion12_rlh02.pdf","name":"Specification Document (pdf)","type":"Help documentation"},{"url":"https://www.virtualastronomy.org/files/AVM-Tagging-Guidelines_15_updated2.pdf","name":"User Guide (pdf)","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000707","bsg-s000707"],"name":"FAIRsharing record for: Astronomy Visualization Metadata","abbreviation":"AVM","url":"https://fairsharing.org/10.25504/FAIRsharing.338ze0","doi":"10.25504/FAIRsharing.338ze0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary focus of the AVM standard is on print-ready and screen ready astronomical imagery, which has been rendered from telescopic observations (also known as “pretty pictures”). Such images can combine data acquired at different wavebands and from different observatories. While the primary intent is to cover data-derived astronomical images, there are broader uses as well. Specifically, the most general subset of this schema is also appropriate for describing artwork and illustrations of astronomical subject matter.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Imaging"],"taxonomies":["Not applicable"],"user_defined_tags":["Extragalactic objects","Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6057,"fairsharing_record_id":708,"organisation_id":1547,"relation":"undefined","created_at":"2021-09-30T09:27:47.420Z","updated_at":"2021-09-30T09:27:47.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":1547,"name":"IPAC","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":6059,"fairsharing_record_id":708,"organisation_id":2617,"relation":"undefined","created_at":"2021-09-30T09:27:47.470Z","updated_at":"2021-09-30T09:27:47.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":2617,"name":"Spritzer Science Center","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":6058,"fairsharing_record_id":708,"organisation_id":880,"relation":"maintains","created_at":"2021-09-30T09:27:47.444Z","updated_at":"2021-09-30T09:27:47.444Z","grant_id":null,"is_lead":false,"saved_state":{"id":880,"name":"ESA Science and Technology Hubble","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6060,"fairsharing_record_id":708,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:27:47.494Z","updated_at":"2021-09-30T09:27:47.494Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"709","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T10:02:20.000Z","updated_at":"2024-01-28T15:58:08.410Z","metadata":{"doi":"10.25504/FAIRsharing.9d38e2","name":"Uniform Resource Locator","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"ietf-info@ietf.org"}],"homepage":"https://tools.ietf.org/html/rfc1630","citations":[],"identifier":709,"description":"URL (Uniform Resource Locator) – the typical \"address\" of web content. It is a kind of URI (Uniform Resource Identifier) that begins with \"http://\" and consists of a string of characters used to identify or name a resource on the Internet. Such identification enables interaction with representations of the resource over a network, typically the World Wide Web, using the HTTP protocol. Well-managed URL redirection can make URLs as persistent as any identifier. Resolution depends on HTTP redirection and can be managed through an API or a user interface. A URL is a type of URI that identifies a resource via a representation of its primary access mechanism (e.g., its network \"location\"), rather than by some other attributes it may have (see https://www.w3.org/TR/uri-clarification/#contemporary).","abbreviation":"URL","support_links":[{"url":"https://www.ietf.org/rfc/rfc2718.txt","name":"Guidelines for New URL Schemes","type":"Help documentation"},{"url":"https://www.ietf.org/rfc/rfc2717.txt","name":"Registration Procedures for URL Scheme Names","type":"Help documentation"}],"year_creation":1994,"regular_expression":"^(ftp|http|https):\\/\\/[^ \"]+$"},"legacy_ids":["bsg-001186","bsg-s001186"],"name":"FAIRsharing record for: Uniform Resource Locator","abbreviation":"URL","url":"https://fairsharing.org/10.25504/FAIRsharing.9d38e2","doi":"10.25504/FAIRsharing.9d38e2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: URL (Uniform Resource Locator) – the typical \"address\" of web content. It is a kind of URI (Uniform Resource Identifier) that begins with \"http://\" and consists of a string of characters used to identify or name a resource on the Internet. Such identification enables interaction with representations of the resource over a network, typically the World Wide Web, using the HTTP protocol. Well-managed URL redirection can make URLs as persistent as any identifier. Resolution depends on HTTP redirection and can be managed through an API or a user interface. A URL is a type of URI that identifies a resource via a representation of its primary access mechanism (e.g., its network \"location\"), rather than by some other attributes it may have (see https://www.w3.org/TR/uri-clarification/#contemporary).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17384}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":3016,"relation":"applies_to_content"}],"grants":[{"id":9663,"fairsharing_record_id":709,"organisation_id":3167,"relation":"maintains","created_at":"2022-07-11T12:31:45.761Z","updated_at":"2022-07-28T23:41:32.082Z","grant_id":null,"is_lead":true,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":9706,"fairsharing_record_id":709,"organisation_id":3387,"relation":"maintains","created_at":"2022-07-28T23:41:32.146Z","updated_at":"2022-07-28T23:41:32.146Z","grant_id":null,"is_lead":true,"saved_state":{"id":3387,"name":"Office of Scientific and Technical Information","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":6061,"fairsharing_record_id":709,"organisation_id":1541,"relation":"maintains","created_at":"2021-09-30T09:27:47.520Z","updated_at":"2021-09-30T09:27:47.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":1541,"name":"Internet Engineering Task Force (IEFT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"710","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-07-20T11:45:05.802Z","metadata":{"doi":"10.25504/FAIRsharing.j4encb","name":"XEML Environment Ontology","status":"deprecated","contacts":[{"contact_name":"Kenny Billiau","contact_email":"kenny.billiau@ki.se"}],"homepage":"http://xeo.codeplex.com/","identifier":710,"description":"XeO has been created to help plant scientists in documenting and sharing metadata describing the abiotic environment.","abbreviation":"XEO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/XEO","name":"XEO","portal":"BioPortal"}],"deprecation_date":"2020-02-04","deprecation_reason":"The project homepage no longer exists, and we cannot find a current project site. Please get in touch if you have any additional information."},"legacy_ids":["bsg-000849","bsg-s000849"],"name":"FAIRsharing record for: XEML Environment Ontology","abbreviation":"XEO","url":"https://fairsharing.org/10.25504/FAIRsharing.j4encb","doi":"10.25504/FAIRsharing.j4encb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XeO has been created to help plant scientists in documenting and sharing metadata describing the abiotic environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Experimental measurement","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1089,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"711","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-12-21T14:57:24.617Z","metadata":{"doi":"10.25504/FAIRsharing.rfrsk4","name":"Tribolium Ontology","status":"deprecated","contacts":[{"contact_name":"Jürgen Dönitz, Daniela Grossmann","contact_email":"ontology@ibeetle-base.uni-goettingen.de"}],"homepage":"http://ibeetle-base.uni-goettingen.de/ontology/overview.jsf","citations":[],"identifier":711,"description":"TrOn is an ontology about the anatomical structures of the red flour beetle Tribolium castaneum in the developmental stages larva, pupa and adult.","abbreviation":"TRON","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TRON","name":"TRON","portal":"BioPortal"}],"deprecation_date":"2022-10-05","deprecation_reason":"The project homepage is available, however the ontology is no longer accessible, and BioPortal version has not been updated since 2013."},"legacy_ids":["bsg-000850","bsg-s000850"],"name":"FAIRsharing record for: Tribolium Ontology","abbreviation":"TRON","url":"https://fairsharing.org/10.25504/FAIRsharing.rfrsk4","doi":"10.25504/FAIRsharing.rfrsk4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TrOn is an ontology about the anatomical structures of the red flour beetle Tribolium castaneum in the developmental stages larva, pupa and adult.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":9971,"fairsharing_record_id":711,"organisation_id":3731,"relation":"maintains","created_at":"2022-10-06T13:50:25.235Z","updated_at":"2022-10-06T13:50:25.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":3731,"name":"University of Göttingen","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"712","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T15:34:36.388Z","metadata":{"doi":"10.25504/FAIRsharing.drnvw0","name":"International Classification for Patient Safety","status":"ready","contacts":[{"contact_name":"Oscar Corcho","contact_email":"ocorcho@fi.upm.es","contact_orcid":"0000-0002-9260-0753"}],"homepage":"https://www.who.int/publications/i/item/WHO-IER-PSP-2010.2","citations":[],"identifier":712,"description":"The International Classification for Patient Safety (ICPS) is intended to define, harmonize and group patient safety concepts into an internationally agreed classification in a way that is conducive to learning and improving patient safety across systems. It should be noted that the conceptual framework for the ICPS is not a classification. Instead it describes a comprehensive information model for understanding the epistemology of patient safety incidents.","abbreviation":"ICPS","support_links":[],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICPS","name":"ICPS","portal":"BioPortal"}]},"legacy_ids":["bsg-002672","bsg-s002672"],"name":"FAIRsharing record for: International Classification for Patient Safety","abbreviation":"ICPS","url":"https://fairsharing.org/10.25504/FAIRsharing.drnvw0","doi":"10.25504/FAIRsharing.drnvw0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification for Patient Safety (ICPS) is intended to define, harmonize and group patient safety concepts into an internationally agreed classification in a way that is conducive to learning and improving patient safety across systems. It should be noted that the conceptual framework for the ICPS is not a classification. Instead it describes a comprehensive information model for understanding the epistemology of patient safety incidents.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12451}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Primary Health Care","Biomedical Science"],"domains":["Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","France","Netherlands","Spain","United Kingdom","United States"],"publications":[{"id":2752,"pubmed_id":19147595,"title":"Towards an International Classification for Patient Safety: the conceptual framework.","year":2009,"url":"http://doi.org/10.1093/intqhc/mzn054","authors":"Sherman H,Castro G,Fletcher M,Hatlie M,Hibbert P,Jakob R,Koss R,Lewalle P,Loeb J,Perneger T,Runciman W,Thomson R,Van Der Schaaf T,Virtanen M","journal":"Int J Qual Health Care","doi":"10.1093/intqhc/mzn054","created_at":"2021-09-30T08:27:38.315Z","updated_at":"2021-09-30T08:27:38.315Z"}],"licence_links":[],"grants":[{"id":6062,"fairsharing_record_id":712,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:47.544Z","updated_at":"2021-09-30T09:27:47.544Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6063,"fairsharing_record_id":712,"organisation_id":2249,"relation":"maintains","created_at":"2021-09-30T09:27:47.570Z","updated_at":"2021-09-30T09:27:47.570Z","grant_id":null,"is_lead":false,"saved_state":{"id":2249,"name":"Ontology Engineering Group, Universidad Politecnica de Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"714","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-12-27T17:19:57.975Z","metadata":{"doi":"10.25504/FAIRsharing.m40bhw","name":"Agronomy Ontology","status":"in_development","contacts":[{"contact_name":"Marie-Angélique Laporte","contact_email":"m.a.laporte@cgiar.org"}],"homepage":"https://bigdata.cgiar.org/resources/agronomy-ontology/","citations":[],"identifier":714,"description":"AgrO, the Agronomy Ontology, describes agronomic practices, agronomic techniques, and agronomic variables used in agronomic experiments. AgrO is being built by CGIAR using traits identified by agronomists, the ICASA variables, and other existing ontologies such as ENVO, UO, and PATO. It will complement existing crop, livestock, and fish ontologies to enable harmonized approaches to data collection, facilitating easier data sharing and reuse. A key use case for AgrO is the Agronomy Field Information Management System (AgroFIMS). AgroFIMS enables digital collection of agronomic data that is semantically described a priori with agronomic terms from AgrO.","abbreviation":"AgrO","support_links":[{"url":"https://github.com/AgriculturalSemantics/agro/issues/","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://groups.google.com/group/agronomyOntology","name":"Google Group","type":"Mailing list"}],"year_creation":2016,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AGRO","name":"AGRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/agro.html","name":"agro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000733","bsg-s000733"],"name":"FAIRsharing record for: Agronomy Ontology","abbreviation":"AgrO","url":"https://fairsharing.org/10.25504/FAIRsharing.m40bhw","doi":"10.25504/FAIRsharing.m40bhw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AgrO, the Agronomy Ontology, describes agronomic practices, agronomic techniques, and agronomic variables used in agronomic experiments. AgrO is being built by CGIAR using traits identified by agronomists, the ICASA variables, and other existing ontologies such as ENVO, UO, and PATO. It will complement existing crop, livestock, and fish ontologies to enable harmonized approaches to data collection, facilitating easier data sharing and reuse. A key use case for AgrO is the Agronomy Field Information Management System (AgroFIMS). AgroFIMS enables digital collection of agronomic data that is semantically described a priori with agronomic terms from AgrO.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14556}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Plant Breeding","Agronomy","Agriculture"],"domains":["Cropping systems"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":61,"relation":"undefined"}],"grants":[{"id":6065,"fairsharing_record_id":714,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:47.621Z","updated_at":"2021-09-30T09:27:47.621Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6066,"fairsharing_record_id":714,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:47.645Z","updated_at":"2021-09-30T09:27:47.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"676","type":"fairsharing_records","attributes":{"created_at":"2018-08-22T17:45:14.000Z","updated_at":"2023-09-29T11:54:57.024Z","metadata":{"doi":"10.25504/FAIRsharing.98c4f4","name":"Information technology -- Hypermedia/Time-based Structuring Language (HyTime)","status":"ready","contacts":[{"contact_name":"Toshiko Kimura","contact_email":"kimura@itscj.ipsj.or.jp"}],"homepage":"https://www.iso.org/standard/29303.html","citations":[],"identifier":676,"description":"The Hypermedia/Time-based Structuring Language (HyTime), defined in this International Standard, provides facilities for representing static and dynamic information that is processed and interchanged by hypertext and multimedia applications. HyTime is an application of ISO 8879, the Standard Generalized Markup Language (SGML). HyTime provides standardized mechanisms for specifying interconnections (hyperlinks) within and between documents and other information objects, and for scheduling multimedia information in time and space.","abbreviation":"ISO/IEC 10744:1997","support_links":[{"url":"https://www.iso.org/contents/data/standard/02/93/29303.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1992},"legacy_ids":["bsg-001243","bsg-s001243"],"name":"FAIRsharing record for: Information technology -- Hypermedia/Time-based Structuring Language (HyTime)","abbreviation":"ISO/IEC 10744:1997","url":"https://fairsharing.org/10.25504/FAIRsharing.98c4f4","doi":"10.25504/FAIRsharing.98c4f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hypermedia/Time-based Structuring Language (HyTime), defined in this International Standard, provides facilities for representing static and dynamic information that is processed and interchanged by hypertext and multimedia applications. HyTime is an application of ISO 8879, the Standard Generalized Markup Language (SGML). HyTime provides standardized mechanisms for specifying interconnections (hyperlinks) within and between documents and other information objects, and for scheduling multimedia information in time and space.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":878,"relation":"undefined"}],"grants":[{"id":6031,"fairsharing_record_id":676,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:27:46.602Z","updated_at":"2021-09-30T09:27:46.602Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10913,"fairsharing_record_id":676,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:06:03.518Z","updated_at":"2023-09-27T14:06:03.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"677","type":"fairsharing_records","attributes":{"created_at":"2018-10-23T18:13:59.000Z","updated_at":"2023-04-20T16:28:03.139Z","metadata":{"doi":"10.25504/FAIRsharing.8641d5","name":"OpenAIRE Guidelines for CRIS Managers based on CERIF-XML","status":"ready","contacts":[{"contact_name":"Jochen Schirrwagen","contact_email":"jochen.schirrwagen@uni-bielefeld.de","contact_orcid":"0000-0002-0458-1004"}],"homepage":"https://guidelines.openaire.eu/en/latest/cris/index.html","citations":[],"identifier":677,"description":"The Guidelines provide orientation for CRIS managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. By implementing the Guidelines, CRIS managers support the inclusion and therefore the reuse of metadata in their systems within the OpenAIRE infrastructure.","abbreviation":null,"support_links":[{"url":"https://github.com/openaire/guidelines-cris-managers","name":"GitHub feedback","type":"Github"},{"url":"https://openaire-guidelines-for-cris-managers.readthedocs.io/en/latest/","type":"Help documentation"},{"url":"https://zenodo.org/record/2316420#.XlN_B5NKg6g","name":"OpenAIRE Guidelines for CRIS Managers 1.1","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001333","bsg-s001333"],"name":"FAIRsharing record for: OpenAIRE Guidelines for CRIS Managers based on CERIF-XML","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8641d5","doi":"10.25504/FAIRsharing.8641d5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Guidelines provide orientation for CRIS managers to expose their metadata in a way that is compatible with the OpenAIRE infrastructure. By implementing the Guidelines, CRIS managers support the inclusion and therefore the reuse of metadata in their systems within the OpenAIRE infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12947},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13343}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":413,"relation":"undefined"}],"grants":[{"id":6032,"fairsharing_record_id":677,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:46.628Z","updated_at":"2021-09-30T09:27:46.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9710,"fairsharing_record_id":677,"organisation_id":2252,"relation":"maintains","created_at":"2022-07-29T13:01:45.795Z","updated_at":"2022-07-29T13:01:45.795Z","grant_id":null,"is_lead":true,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"678","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-07-20T13:10:29.557Z","metadata":{"doi":"10.25504/FAIRsharing.nbfwwv","name":"Provenance, Authoring and Versioning Ontology","status":"ready","contacts":[{"contact_name":"Stian Soiland-Reyes","contact_email":"stian@soiland-reyes.com","contact_orcid":"0000-0001-9842-9718"}],"homepage":"https://github.com/pav-ontology/pav/","identifier":678,"description":"PAV is a lightweight ontology for tracking Provenance, Authoring and Versioning. PAV specializes the W3C provenance ontology PROV-O in order to describe authorship, curation and digital creation of online resources. This ontology describes the defined PAV properties and their usage. Note that PAV does not define any explicit classes or domain/ranges, as every property is meant to be used directly on the described online resource.","abbreviation":"PAV","support_links":[{"url":"paolo.ciccarese@gmail.com","name":"Paolo Ciccarese","type":"Support email"},{"url":"https://groups.google.com/forum/#!forum/pav-ontology","name":"PAV Forum","type":"Forum"},{"url":"https://github.com/pav-ontology/pav/wiki/","name":"Usage","type":"Github"},{"url":"http://pav-ontology.github.io/pav/","name":"Ontology documentation","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PAV","name":"PAV","portal":"BioPortal"}]},"legacy_ids":["bsg-001060","bsg-s001060"],"name":"FAIRsharing record for: Provenance, Authoring and Versioning Ontology","abbreviation":"PAV","url":"https://fairsharing.org/10.25504/FAIRsharing.nbfwwv","doi":"10.25504/FAIRsharing.nbfwwv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PAV is a lightweight ontology for tracking Provenance, Authoring and Versioning. PAV specializes the W3C provenance ontology PROV-O in order to describe authorship, curation and digital creation of online resources. This ontology describes the defined PAV properties and their usage. Note that PAV does not define any explicit classes or domain/ranges, as every property is meant to be used directly on the described online resource.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16995}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Subject Agnostic"],"domains":["Citation","Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France","United Kingdom","United States"],"publications":[{"id":985,"pubmed_id":24267948,"title":"PAV ontology: provenance, authoring and versioning.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-37","authors":"Ciccarese P,Soiland-Reyes S,Belhajjame K,Gray AJ,Goble C,Clark T","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-37","created_at":"2021-09-30T08:24:08.997Z","updated_at":"2021-09-30T08:24:08.997Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1286,"relation":"undefined"}],"grants":[{"id":6033,"fairsharing_record_id":678,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:27:46.660Z","updated_at":"2021-09-30T09:27:46.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6034,"fairsharing_record_id":678,"organisation_id":1838,"relation":"maintains","created_at":"2021-09-30T09:27:46.685Z","updated_at":"2021-09-30T09:27:46.685Z","grant_id":null,"is_lead":false,"saved_state":{"id":1838,"name":"MIND Informatics, Mass General Hospital, Harvard Medical School, Boston, MA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"679","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T13:33:00.000Z","updated_at":"2022-12-14T08:23:59.118Z","metadata":{"doi":"10.25504/FAIRsharing.AcUAbT","name":"Simulation Data Model","status":"ready","contacts":[{"contact_name":"IVOA Theory Interest Group","contact_email":"theory@ivoa.net"}],"homepage":"http://ivoa.net/documents/SimDM/index.html","citations":[{"publication_id":2943}],"identifier":679,"description":"The Simulation Data Model describes numerical computer simulations of astrophysical systems. The primary goal of this standard is to support discovery of simulations by describing those aspects of them that scientists might wish to query on, i.e. it is a model for meta-data describing simulations. This document does not propose a protocol for using this model. IVOA protocols are being developed and are supposed to use the model, either in its original form or in a form derived from the model proposed here, but more suited to the particular protocol. The SimDM has been developed in the IVOA Theory Interest Group with assistance of representatives of relevant working groups, in particular DM and Semantics.","abbreviation":"SimDM","support_links":[{"url":"http://mail.ivoa.net/mailman/listinfo/theory","name":"IVOA Theory Interest Group Mailing List","type":"Mailing list"}],"year_creation":2012},"legacy_ids":["bsg-001162","bsg-s001162"],"name":"FAIRsharing record for: Simulation Data Model","abbreviation":"SimDM","url":"https://fairsharing.org/10.25504/FAIRsharing.AcUAbT","doi":"10.25504/FAIRsharing.AcUAbT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simulation Data Model describes numerical computer simulations of astrophysical systems. The primary goal of this standard is to support discovery of simulations by describing those aspects of them that scientists might wish to query on, i.e. it is a model for meta-data describing simulations. This document does not propose a protocol for using this model. IVOA protocols are being developed and are supposed to use the model, either in its original form or in a form derived from the model proposed here, but more suited to the particular protocol. The SimDM has been developed in the IVOA Theory Interest Group with assistance of representatives of relevant working groups, in particular DM and Semantics.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11456}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2943,"pubmed_id":null,"title":"Simulation Data Model Version 1.0","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0503L","authors":"Lemson, Gerard; Wozniak, Herve; Bourges, Laurent; Cervino, Miguel; Gheller, Claudio; Gray, Norman; LePetit, Franck; Louys, Mireille; Ooghe, Benjamin; Wagner, Rick","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.705Z","updated_at":"2021-09-30T08:28:02.705Z"}],"licence_links":[],"grants":[{"id":6035,"fairsharing_record_id":679,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:46.716Z","updated_at":"2021-09-30T09:27:46.716Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6037,"fairsharing_record_id":679,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:27:46.797Z","updated_at":"2021-09-30T09:27:46.797Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6036,"fairsharing_record_id":679,"organisation_id":1578,"relation":"maintains","created_at":"2021-09-30T09:27:46.757Z","updated_at":"2021-09-30T09:27:46.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":1578,"name":"IVOA Theory Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"680","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.642Z","metadata":{"doi":"10.25504/FAIRsharing.vgx074","name":"Master Drug Data Base Clinical Drugs","status":"ready","contacts":[{"contact_name":"Karen Eckert","contact_email":"keckert@drugfacts.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MDDB","identifier":680,"description":"Master Drug Data Base provides comprehensive and current drug information from a single source. The resource provides pricing and descriptive drug information on name brand, generic, prescription and OTC medications, and herbal products. It includes industry standard identifiers for all brand and generic drugs on the market including National Drug Code (NDC), Universal Product Code (UPC) and Health Related Item (HRI) numbers.","abbreviation":"MDDB","year_creation":2013},"legacy_ids":["bsg-002651","bsg-s002651"],"name":"FAIRsharing record for: Master Drug Data Base Clinical Drugs","abbreviation":"MDDB","url":"https://fairsharing.org/10.25504/FAIRsharing.vgx074","doi":"10.25504/FAIRsharing.vgx074","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Master Drug Data Base provides comprehensive and current drug information from a single source. The resource provides pricing and descriptive drug information on name brand, generic, prescription and OTC medications, and herbal products. It includes industry standard identifiers for all brand and generic drugs on the market including National Drug Code (NDC), Universal Product Code (UPC) and Health Related Item (HRI) numbers.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11724}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Chemical entity","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":341,"relation":"undefined"}],"grants":[{"id":6038,"fairsharing_record_id":680,"organisation_id":3242,"relation":"maintains","created_at":"2021-09-30T09:27:46.833Z","updated_at":"2021-09-30T09:27:46.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":3242,"name":"Wolters Kluwer","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"681","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-08-05T08:38:23.592Z","metadata":{"doi":"10.25504/FAIRsharing.rja8qp","name":"Human Ancestry Ontology","status":"ready","contacts":[{"contact_name":"Danielle Welter","contact_email":"dwelter.ontologist@gmail.com","contact_orcid":null}],"homepage":"https://github.com/EBISPOT/hancestro","citations":[{"doi":"10.1186/s13059-018-1396-2","pubmed_id":29448949,"publication_id":2531}],"identifier":681,"description":"The Human Ancestry Ontology (HANCESTRO) provides a systematic description of the ancestry concepts used in the NHGRI-EBI Catalog of published genome-wide association studies.","abbreviation":"HANCESTRO","support_links":[{"url":"https://github.com/EBISPOT/ancestro/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HANCESTRO","name":"HANCESTRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/hancestro.html","name":"hancestro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000819","bsg-s000819"],"name":"FAIRsharing record for: Human Ancestry Ontology","abbreviation":"HANCESTRO","url":"https://fairsharing.org/10.25504/FAIRsharing.rja8qp","doi":"10.25504/FAIRsharing.rja8qp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Ancestry Ontology (HANCESTRO) provides a systematic description of the ancestry concepts used in the NHGRI-EBI Catalog of published genome-wide association studies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Human Genetics","Population Genetics"],"domains":["Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2531,"pubmed_id":29448949,"title":"A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog.","year":2018,"url":"http://doi.org/10.1186/s13059-018-1396-2","authors":"Morales J,Welter D,Bowler EH,Cerezo M,Harris LW,McMahon AC,Hall P,Junkins HA,Milano A,Hastings E,Malangone C,Buniello A,Burdett T,Flicek P,Parkinson H,Cunningham F,Hindorff LA,MacArthur JAL","journal":"Genome Biol","doi":"10.1186/s13059-018-1396-2","created_at":"2021-09-30T08:27:10.483Z","updated_at":"2021-09-30T08:27:10.483Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":718,"relation":"undefined"}],"grants":[{"id":6040,"fairsharing_record_id":681,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:46.917Z","updated_at":"2021-09-30T09:27:46.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"690","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:40.292Z","metadata":{"doi":"10.25504/FAIRsharing.8qzmtr","name":"PSI Molecular Interaction Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Sandra Orchard","contact_email":"orchard@ebi.ac.uk"}],"homepage":"http://www.psidev.info/groups/molecular-interactions","identifier":690,"description":"A structured controlled vocabulary for the annotation of experiments concerned with protein-protein interactions. Developed by the HUPO Proteomics Standards Initiative. The Molecular Interactions Working group page can be found at http://www.psidev.info/groups/molecular-interactions.","abbreviation":"PSI-MI CV","support_links":[{"url":"psi-mi@ebi.ac.uk","name":"General Contact","type":"Support email"},{"url":"pporras@ebi.ac.uk","name":"Pablo Porras Millan","type":"Support email"},{"url":"http://www.psidev.info/groups/molecular-interactions","name":"Molecular Interactions Working Group","type":"Help documentation"},{"url":"https://github.com/HUPO-PSI/psi-mi-CV","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MI","name":"MI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mi.html","name":"mi","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000136","bsg-s000136"],"name":"FAIRsharing record for: PSI Molecular Interaction Controlled Vocabulary","abbreviation":"PSI-MI CV","url":"https://fairsharing.org/10.25504/FAIRsharing.8qzmtr","doi":"10.25504/FAIRsharing.8qzmtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the annotation of experiments concerned with protein-protein interactions. Developed by the HUPO Proteomics Standards Initiative. The Molecular Interactions Working group page can be found at http://www.psidev.info/groups/molecular-interactions.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11430},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11957}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Protein interaction","Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1231,"relation":"undefined"}],"grants":[{"id":6049,"fairsharing_record_id":690,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:27:47.221Z","updated_at":"2021-09-30T09:27:47.221Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6048,"fairsharing_record_id":690,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:47.187Z","updated_at":"2021-09-30T09:27:47.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"691","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-03-14T18:34:23.018Z","metadata":{"doi":"10.25504/FAIRsharing.p1ss22","name":"DICOM Controlled Terminology","status":"ready","contacts":[{"contact_name":"David Clunie","contact_email":"dclunie@dclunie.com"}],"homepage":"http://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_D.html","citations":[],"identifier":691,"description":"DICOM Controlled Terminology (PS3.16 2017c Annex D)","abbreviation":"DCM","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DCM","name":"DCM","portal":"BioPortal"}]},"legacy_ids":["bsg-000828","bsg-s000828"],"name":"FAIRsharing record for: DICOM Controlled Terminology","abbreviation":"DCM","url":"https://fairsharing.org/10.25504/FAIRsharing.p1ss22","doi":"10.25504/FAIRsharing.p1ss22","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DICOM Controlled Terminology (PS3.16 2017c Annex D)","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12112},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16900}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Imaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"695","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-07-20T12:48:57.296Z","metadata":{"doi":"10.25504/FAIRsharing.39ff0a","name":"Resource Description and Access Vocabularies","status":"ready","contacts":[{"contact_name":"RSC Technical Team Liaison Officer","contact_email":"techo@rdatoolkit.org"}],"homepage":"http://www.rdaregistry.info/","identifier":695,"description":"Resource Description and Access Vocabularies (RDA) Vocabularies is a representation of the RDA entities, elements, relationship designators, and controlled terms in RDF (Resource Description Framework). RDA is a standard for descriptive cataloging of bibliographic data. It is intended for use by libraries and other cultural organizations such as museums and archives. The Vocabularies are intended to support linked data applications using RDA.","abbreviation":"RDA Vocabularies","support_links":[{"url":"https://www.rdaregistry.info/rgFAQ","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.rdaregistry.info/rgData/","name":"Data Using the RDA Vocabularies","type":"Help documentation"},{"url":"https://github.com/RDARegistry/RDA-Vocabularies","name":"GitHub Project","type":"Github"},{"url":"https://www.rdaregistry.info/rgAbout/rdaref/dataflow/","name":"About","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Resource_Description_and_Access","name":"RDA Wikipedia Entry","type":"Wikipedia"}],"year_creation":2017,"associated_tools":[{"url":"http://www.rdatoolkit.org/","name":"RDA Toolkit"},{"url":"https://www.rdaregistry.info/rgTools/","name":"Tool Listing"}]},"legacy_ids":["bsg-000832","bsg-s000832"],"name":"FAIRsharing record for: Resource Description and Access Vocabularies","abbreviation":"RDA Vocabularies","url":"https://fairsharing.org/10.25504/FAIRsharing.39ff0a","doi":"10.25504/FAIRsharing.39ff0a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Resource Description and Access Vocabularies (RDA) Vocabularies is a representation of the RDA entities, elements, relationship designators, and controlled terms in RDF (Resource Description Framework). RDA is a standard for descriptive cataloging of bibliographic data. It is intended for use by libraries and other cultural organizations such as museums and archives. The Vocabularies are intended to support linked data applications using RDA.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science"],"domains":["Citation","Bibliography","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":393,"relation":"undefined"}],"grants":[{"id":6050,"fairsharing_record_id":695,"organisation_id":2435,"relation":"maintains","created_at":"2021-09-30T09:27:47.244Z","updated_at":"2021-09-30T09:27:47.244Z","grant_id":null,"is_lead":true,"saved_state":{"id":2435,"name":"Resource Description and Access Vocabularies (RDA) Steering Committee (RSC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"697","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T12:46:34.000Z","updated_at":"2022-07-20T12:48:57.240Z","metadata":{"doi":"10.25504/FAIRsharing.RlEMBA","name":"Ontology for Provenance and Plans","status":"ready","contacts":[{"contact_name":"Daniel Garijo","contact_email":"dgarijo@isi.edu"}],"homepage":"http://purl.org/net/p-plan","identifier":697,"description":"The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself.","abbreviation":"P-PLAN","support_links":[{"url":"gil@isi.edu","name":"Yolanda Gil","type":"Support email"}],"year_creation":2011},"legacy_ids":["bsg-001432","bsg-s001432"],"name":"FAIRsharing record for: Ontology for Provenance and Plans","abbreviation":"P-PLAN","url":"https://fairsharing.org/10.25504/FAIRsharing.RlEMBA","doi":"10.25504/FAIRsharing.RlEMBA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Spain","United States"],"publications":[{"id":2705,"pubmed_id":null,"title":"Augmenting PROV with Plans in P-PLAN: Scientific Processes as Linked Data","year":2012,"url":"http://www.isi.edu/~gil/papers/garijo-gil-lisc12.pdf","authors":"Daniel Garijo and Yolanda Gil","journal":"in Proceedings of the 2nd International Workshop on Linked Science 2012","doi":null,"created_at":"2021-09-30T08:27:32.239Z","updated_at":"2021-09-30T08:27:32.239Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Generic (CC BY-NC-SA 2.0)","licence_id":179,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.0/","link_id":1715,"relation":"undefined"}],"grants":[{"id":6051,"fairsharing_record_id":697,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:27:47.270Z","updated_at":"2021-09-30T09:27:47.270Z","grant_id":null,"is_lead":true,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"698","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-03-23T10:05:28.934Z","metadata":{"doi":"10.25504/FAIRsharing.gaqfk4","name":"HGeneCodonOntology","status":"deprecated","contacts":[{"contact_name":"Hanfei Bao","contact_email":"hanfeib@gmail.com"}],"homepage":"http://blog.51.ca/u-345129/","citations":[],"identifier":698,"description":"This ontology contains the information of the frequency of usage and the relative frequency of usage of Human Gene Codons, to be used to the operations by The Project Of HIV Ontology.","abbreviation":"HCODONONT","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HCODONONT","name":"HCODONONT","portal":"BioPortal"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-000835","bsg-s000835"],"name":"FAIRsharing record for: HGeneCodonOntology","abbreviation":"HCODONONT","url":"https://fairsharing.org/10.25504/FAIRsharing.gaqfk4","doi":"10.25504/FAIRsharing.gaqfk4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology contains the information of the frequency of usage and the relative frequency of usage of Human Gene Codons, to be used to the operations by The Project Of HIV Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"700","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2023-03-13T15:39:28.378Z","metadata":{"doi":"10.25504/FAIRsharing.v5ymcw","name":"Radiation Oncology Structures Ontology","status":"ready","contacts":[{"contact_name":"Jean-Emmanuel Bibault","contact_email":"jean-emmanuel.bibault@aphp.fr"}],"homepage":"https://github.com/jebibault/Radiation-Oncology-Structures-Ontology","citations":[],"identifier":700,"description":"This ontology describes commonly contoured (anatomical and treatment planning) structures for radiation treatment planning. 22000 structures labels (created over a 16 years period in our radiation department) were extracted, classified and categorized to produce this ontology. Lymph nodes delineation international guidelines are provided. This ontology was created to ease and standardize the integration of radiation oncology data into clinical datawarehouses for multicentric studies. The high granularity of this ontology will allow precise dosimetric evaluations.","abbreviation":"ROS","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ROS","name":"ROS","portal":"BioPortal"}]},"legacy_ids":["bsg-000841","bsg-s000841"],"name":"FAIRsharing record for: Radiation Oncology Structures Ontology","abbreviation":"ROS","url":"https://fairsharing.org/10.25504/FAIRsharing.v5ymcw","doi":"10.25504/FAIRsharing.v5ymcw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology describes commonly contoured (anatomical and treatment planning) structures for radiation treatment planning. 22000 structures labels (created over a 16 years period in our radiation department) were extracted, classified and categorized to produce this ontology. Lymph nodes delineation international guidelines are provided. This ontology was created to ease and standardize the integration of radiation oncology data into clinical datawarehouses for multicentric studies. The high granularity of this ontology will allow precise dosimetric evaluations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiation Oncology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"701","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-01-11T14:34:45.480Z","metadata":{"doi":"10.25504/FAIRsharing.4wden0","name":"EDDA Publication Types Taxonomy","status":"deprecated","contacts":[{"contact_name":"Tanja Bekhuis","contact_email":"tanja.bekhuis@tcbinfosci.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/EDDA_PT","citations":[],"identifier":701,"description":"The EDDA Publication Types Taxonomy (v1.0) was developed by Tanja Bekhuis (Principal Scientist) and Eugene Tseytlin (Systems Developer) of the Evidence in Documents, Discovery, and Analytics (EDDA) Group. The EDDA Group is a division of TCB Research \u0026 Indexing LLC. V","abbreviation":"EDDA_PT","support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDDA_PT","name":"EDDA_PT","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"This resource homepage cannot be found, and the terminology only exists via its BioPortal record. This record has therefore been deprecated. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000842","bsg-s000842"],"name":"FAIRsharing record for: EDDA Publication Types Taxonomy","abbreviation":"EDDA_PT","url":"https://fairsharing.org/10.25504/FAIRsharing.4wden0","doi":"10.25504/FAIRsharing.4wden0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EDDA Publication Types Taxonomy (v1.0) was developed by Tanja Bekhuis (Principal Scientist) and Eugene Tseytlin (Systems Developer) of the Evidence in Documents, Discovery, and Analytics (EDDA) Group. The EDDA Group is a division of TCB Research \u0026 Indexing LLC. V","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems"],"domains":["Bibliography","Publication"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":2550,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"702","type":"fairsharing_records","attributes":{"created_at":"2015-02-23T13:34:34.000Z","updated_at":"2021-11-24T13:18:40.387Z","metadata":{"doi":"10.25504/FAIRsharing.enpfm4","name":"mzXML","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"psidev-ms-dev@lists.sourceforge.net"}],"homepage":"http://en.wikipedia.org/wiki/Mass_spectrometry_data_format","identifier":702,"description":"mzXML an open, generic XML (extensible markup language) representation of MS data. This format is now deprecated and it has been superseded by mzML","abbreviation":"mzXML","deprecation_date":"2015-04-08","deprecation_reason":"This resource is obsolete, and has been subsumed (together with mzData) into mzML. Please use mzML instead (https://www.biosharing.org/bsg-000112). For more information, see http://www.psidev.info/groups/mass-spectrometry"},"legacy_ids":["bsg-000583","bsg-s000583"],"name":"FAIRsharing record for: mzXML","abbreviation":"mzXML","url":"https://fairsharing.org/10.25504/FAIRsharing.enpfm4","doi":"10.25504/FAIRsharing.enpfm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mzXML an open, generic XML (extensible markup language) representation of MS data. This format is now deprecated and it has been superseded by mzML","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10917}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":735,"pubmed_id":15529173,"title":"A common open representation of mass spectrometry data and its application to proteomics researc","year":2004,"url":"http://doi.org/10.1038/nbt1031","authors":"Pedrioli PG, Eng JK, Hubley R, Vogelzang M, Deutsch EW, Raught B, Pratt B, Nilsson E, Angeletti RH, Apweiler R, Cheung K, Costello CE, Hermjakob H, Huang S, Julian RK, Kapp E, McComb ME, Oliver SG, Omenn G, Paton NW, Simpson R, Smith R, Taylor CF, Zhu W, Aebersold R.","journal":"Nat Biotechnology","doi":"10.1038/nbt1031","created_at":"2021-09-30T08:23:40.995Z","updated_at":"2021-09-30T08:23:40.995Z"},{"id":736,"pubmed_id":16307524,"title":"What is mzXML good for?","year":2005,"url":"http://doi.org/10.1586/14789450.2.6.839","authors":"Lin SM, Zhu L, Winter AQ, Sasinowski M, Kibbe WA.","journal":"Expert Rev Proteomics","doi":"10.1586/14789450.2.6.839","created_at":"2021-09-30T08:23:41.095Z","updated_at":"2021-09-30T08:23:41.095Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"723","type":"fairsharing_records","attributes":{"created_at":"2016-11-01T13:41:13.000Z","updated_at":"2021-11-24T13:14:22.795Z","metadata":{"doi":"10.25504/FAIRsharing.m3g9n9","name":"Standard Protocol Items: Recommendations for Interventional Trials","status":"ready","homepage":"http://www.spirit-statement.org/","identifier":723,"description":"The protocol of a clinical trial is essential for study conduct, review, reporting, and interpretation. SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) is an international initiative that aims to improve the quality of clinical trial protocols by defining an evidence-based set of items to address in a protocol.","abbreviation":"SPIRIT","support_links":[{"url":"http://www.spirit-statement.org/spirit-statement/","type":"Help documentation"},{"url":"http://www.consort-statement.org/resources/spirit","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-000685","bsg-s000685"],"name":"FAIRsharing record for: Standard Protocol Items: Recommendations for Interventional Trials","abbreviation":"SPIRIT","url":"https://fairsharing.org/10.25504/FAIRsharing.m3g9n9","doi":"10.25504/FAIRsharing.m3g9n9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The protocol of a clinical trial is essential for study conduct, review, reporting, and interpretation. SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) is an international initiative that aims to improve the quality of clinical trial protocols by defining an evidence-based set of items to address in a protocol.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12501},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16933}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Denmark","United Kingdom","United States"],"publications":[{"id":1739,"pubmed_id":23295957,"title":"SPIRIT 2013 statement: defining standard protocol items for clinical trials.","year":2013,"url":"http://doi.org/10.7326/0003-4819-158-3-201302050-00583","authors":"Chan AW,Tetzlaff JM,Altman DG,Laupacis A,Gotzsche PC,Krleza-Jeric K,Hrobjartsson A,Mann H,Dickersin K,Berlin JA,Dore CJ,Parulekar WR,Summerskill WS,Groves T,Schulz KF,Sox HC,Rockhold FW,Rennie D,Moher D","journal":"Ann Intern Med","doi":"10.7326/0003-4819-158-3-201302050-00583","created_at":"2021-09-30T08:25:35.107Z","updated_at":"2021-09-30T08:25:35.107Z"},{"id":1740,"pubmed_id":23303884,"title":"SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials.","year":2013,"url":"http://doi.org/10.1136/bmj.e7586","authors":"Chan AW,Tetzlaff JM,Gotzsche PC,Altman DG,Mann H,Berlin JA,Dickersin K,Hrobjartsson A,Schulz KF,Parulekar WR,Krleza-Jeric K,Laupacis A,Moher D","journal":"BMJ","doi":"10.1136/bmj.e7586","created_at":"2021-09-30T08:25:35.213Z","updated_at":"2021-09-30T08:25:35.213Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":84,"relation":"undefined"}],"grants":[{"id":6077,"fairsharing_record_id":723,"organisation_id":2836,"relation":"maintains","created_at":"2021-09-30T09:27:47.914Z","updated_at":"2021-09-30T09:27:47.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":2836,"name":"The SPIRIT Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6078,"fairsharing_record_id":723,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:27:47.937Z","updated_at":"2021-09-30T09:27:47.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"724","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-05-18T07:21:26.870Z","metadata":{"doi":"10.25504/FAIRsharing.4bcrzk","name":"CYTOKINE","status":"deprecated","contacts":[{"contact_name":"Steven Kleinstein","contact_email":"steven.kleinstein@yale.edu","contact_orcid":null}],"homepage":"http://bioportal.bioontology.org/ontologies/CYTO","citations":[],"identifier":724,"description":"It is flat ontology showing cytokine synonyms. It has been produced by merging cytokine branches, using SOMA (Synonym Ontology Mapping Approach) method, of 10 Bioportal ontologies.","abbreviation":"CYTO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CYTO","name":"CYTO","portal":"BioPortal"}],"deprecation_date":"2023-05-03","deprecation_reason":"This resource has been deprecated and the maintaining group has confirmed the status."},"legacy_ids":["bsg-000857","bsg-s000857"],"name":"FAIRsharing record for: CYTOKINE","abbreviation":"CYTO","url":"https://fairsharing.org/10.25504/FAIRsharing.4bcrzk","doi":"10.25504/FAIRsharing.4bcrzk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: It is flat ontology showing cytokine synonyms. It has been produced by merging cytokine branches, using SOMA (Synonym Ontology Mapping Approach) method, of 10 Bioportal ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Infection Biology","Immunology"],"domains":["Immune system"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Synonyms"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":10577,"fairsharing_record_id":724,"organisation_id":3268,"relation":"maintains","created_at":"2023-05-03T09:24:32.527Z","updated_at":"2023-05-03T09:24:32.527Z","grant_id":null,"is_lead":true,"saved_state":{"id":3268,"name":"Yale University School of Medicine, New Haven, CT, USA.","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"725","type":"fairsharing_records","attributes":{"created_at":"2018-08-11T21:43:03.000Z","updated_at":"2022-02-08T10:47:11.819Z","metadata":{"doi":"10.25504/FAIRsharing.5d5322","name":"Corpus Encoding Standards","status":"ready","contacts":[{"contact_name":"Nancy Ide","contact_email":"ide@cs.vassar.edu"}],"homepage":"https://www.cs.vassar.edu/CES/","citations":[],"identifier":725,"description":"CES provides a unit coding standard for linguistic corpus annotation. The CES can be used to encode corpora as resources for natural language processing. XCES is the XML version.","abbreviation":"CES / XCES","year_creation":1996},"legacy_ids":["bsg-001230","bsg-s001230"],"name":"FAIRsharing record for: Corpus Encoding Standards","abbreviation":"CES / XCES","url":"https://fairsharing.org/10.25504/FAIRsharing.5d5322","doi":"10.25504/FAIRsharing.5d5322","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CES provides a unit coding standard for linguistic corpus annotation. The CES can be used to encode corpora as resources for natural language processing. XCES is the XML version.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[],"licence_links":[],"grants":[{"id":6079,"fairsharing_record_id":725,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:47.971Z","updated_at":"2021-09-30T09:27:47.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6080,"fairsharing_record_id":725,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:47.995Z","updated_at":"2021-09-30T09:32:37.522Z","grant_id":1705,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IRI-9413451","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"726","type":"fairsharing_records","attributes":{"created_at":"2018-10-12T13:19:58.000Z","updated_at":"2024-03-25T20:35:09.168Z","metadata":{"name":"Apple Core","status":"deprecated","contacts":[],"homepage":"https://applecore.biowikifarm.net/wiki/Main_Page","citations":[],"identifier":726,"description":"Darwin Core (DwC) has become a mature set of standards designed for sharing biodiversity data. However, the inherent generality of the documentation has lead to broad interpretation of the terms or confusion about which terms to use within a community. The goal of Apple Core is to tackle this issue for herbaria by providing detailed guidelines based on best practices for publishing botanical specimen information as DwC. These guidelines will include recommended terms, more specific definitions, multiple examples, common issues and controlled vocabularies where appropriate. Apple Core should not be considered an extension of DwC: we specifically avoid creating any new terms or extensions. If the need for an additional term arises, it will be proposed for inclusion in DwC. Apple Core datasets will be expressible as Simple Darwin Core or as an Occurrence core with an Identification History extension. ","abbreviation":"Apple Core","support_links":[{"url":"https://github.com/tdwg/applecore/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011,"deprecation_date":"2024-03-25","deprecation_reason":"The project has not had any activity since 2016, and the homepage is now broken. If you have up-to-date information on this project, or would like to claim this record, please contact us."},"legacy_ids":["bsg-001322","bsg-s001322"],"name":"FAIRsharing record for: Apple Core","abbreviation":"Apple Core","url":"https://fairsharing.org/fairsharing_records/726","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Darwin Core (DwC) has become a mature set of standards designed for sharing biodiversity data. However, the inherent generality of the documentation has lead to broad interpretation of the terms or confusion about which terms to use within a community. The goal of Apple Core is to tackle this issue for herbaria by providing detailed guidelines based on best practices for publishing botanical specimen information as DwC. These guidelines will include recommended terms, more specific definitions, multiple examples, common issues and controlled vocabularies where appropriate. Apple Core should not be considered an extension of DwC: we specifically avoid creating any new terms or extensions. If the need for an additional term arises, it will be proposed for inclusion in DwC. Apple Core datasets will be expressible as Simple Darwin Core or as an Occurrence core with an Identification History extension. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany","Agriculture"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":976,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"686","type":"fairsharing_records","attributes":{"created_at":"2019-07-10T09:13:25.000Z","updated_at":"2022-07-20T12:20:53.342Z","metadata":{"doi":"10.25504/FAIRsharing.dS2o69","name":"Environmental Thesaurus","status":"ready","contacts":[{"contact_name":"Barbara Magagna","contact_email":"barbara.magagna@umweltbundesamt.at","contact_orcid":"0000-0003-2195-3997"}],"homepage":"https://github.com/LTER-Europe/EnvThes","citations":[{"publication_id":2718}],"identifier":686,"description":"The Environmental Thesaurus is a controlled vocabulary built to aid integration of the data resulting from long term ecological research and monitoring in Europe (eLTER). It provides described and semantically well defined terms for later analysis and it serves as harmonized specification of parameters in the observation and measurement of ecosystem processes.","abbreviation":"EnvThes","support_links":[{"url":"https://github.com/LTER-Europe/EnvThes/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://www.enveurope.eu/news/envthes-environmental-thesaurus","name":"EnvEurope EnvThes Information","type":"Help documentation"}],"year_creation":2012,"associated_tools":[]},"legacy_ids":["bsg-001387","bsg-s001387"],"name":"FAIRsharing record for: Environmental Thesaurus","abbreviation":"EnvThes","url":"https://fairsharing.org/10.25504/FAIRsharing.dS2o69","doi":"10.25504/FAIRsharing.dS2o69","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Environmental Thesaurus is a controlled vocabulary built to aid integration of the data resulting from long term ecological research and monitoring in Europe (eLTER). It provides described and semantically well defined terms for later analysis and it serves as harmonized specification of parameters in the observation and measurement of ecosystem processes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geochemistry","Environmental Science","Ecology","Natural Science"],"domains":["Geographical location","Monitoring"],"taxonomies":["All"],"user_defined_tags":["Observations"],"countries":["Austria","France","Germany","Hungary","Italy","Sweden","United Kingdom","United States"],"publications":[{"id":2718,"pubmed_id":null,"title":"Data Models","year":2018,"url":"https://www.lter-europe.net/document-archive/elter-h2020-project-files/d3-3-data-models","authors":"Peterseil, J., Magagna, B., Wohner, C., Oggioni, A. \u0026 Watkins, J.","journal":"Deliverable (D3.3) of eLTER H2020 project","doi":null,"created_at":"2021-09-30T08:27:33.789Z","updated_at":"2021-09-30T08:27:33.789Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2728,"relation":"applies_to_content"}],"grants":[{"id":6046,"fairsharing_record_id":686,"organisation_id":2909,"relation":"maintains","created_at":"2021-09-30T09:27:47.117Z","updated_at":"2021-09-30T09:27:47.117Z","grant_id":null,"is_lead":true,"saved_state":{"id":2909,"name":"Umweltbundesamt GmbH (Environment Agency Austria), Austria","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"687","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-01-28T16:37:00.377Z","metadata":{"doi":"10.25504/FAIRsharing.1b84nz","name":"Behaviour Change Technique Taxonomy","status":"deprecated","contacts":[{"contact_name":"Peter Kalchgruber","contact_email":"peter.kalchgruber@univie.ac.at"}],"homepage":"https://www.ucl.ac.uk/pals/research/clinical-educational-and-health-psychology/research-groups/behaviour-change-techniques/resources/bcttv1-publications","citations":[],"identifier":687,"description":"The BCT Taxonomy Version 1 (BCTTv1) project are to (i) develop a reliable and generalisable nomenclature of behaviour change techniques as a method for specifying, evaluating and implementing complex behavioural change interventions and (ii) achieve its multidisciplinary and international acceptance and use to allow for its continuous development. Although this resource is available at BioPortal, and described at the listed homepage, the project homepage cannot be found. Please get in touch if you have any information","abbreviation":"BCT Taxonomy","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BCTT","name":"BCTT","portal":"BioPortal"}],"deprecation_date":"2022-01-21","deprecation_reason":"The resource homepage no longer exists, and the developers of the resource cannot be reached. We have updated the homepage to a working URL in order to provide what information we can find, but it is also is out of date."},"legacy_ids":["bsg-000826","bsg-s000826"],"name":"FAIRsharing record for: Behaviour Change Technique Taxonomy","abbreviation":"BCT Taxonomy","url":"https://fairsharing.org/10.25504/FAIRsharing.1b84nz","doi":"10.25504/FAIRsharing.1b84nz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BCT Taxonomy Version 1 (BCTTv1) project are to (i) develop a reliable and generalisable nomenclature of behaviour change techniques as a method for specifying, evaluating and implementing complex behavioural change interventions and (ii) achieve its multidisciplinary and international acceptance and use to allow for its continuous development. Although this resource is available at BioPortal, and described at the listed homepage, the project homepage cannot be found. Please get in touch if you have any information","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Social and Behavioural Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":3181,"pubmed_id":null,"title":"The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions","year":2013,"url":"http://dx.doi.org/10.1007/s12160-013-9486-6","authors":"Michie, Susan; Richardson, Michelle; Johnston, Marie; Abraham, Charles; Francis, Jill; Hardeman, Wendy; Eccles, Martin P.; Cane, James; Wood, Caroline E.; ","journal":"ann. behav. med.","doi":"10.1007/s12160-013-9486-6","created_at":"2022-01-07T21:00:03.323Z","updated_at":"2022-01-07T21:00:03.323Z"},{"id":3182,"pubmed_id":null,"title":"Reporting behaviour change interventions: do the behaviour change technique taxonomy v1, and training in its use, improve the quality of intervention descriptions?","year":2016,"url":"http://dx.doi.org/10.1186/s13012-016-0448-9","authors":"Wood, Caroline E.; Hardeman, Wendy; Johnston, Marie; Francis, Jill; Abraham, Charles; Michie, Susan; ","journal":"Implementation Sci","doi":"10.1186/s13012-016-0448-9","created_at":"2022-01-07T21:00:21.805Z","updated_at":"2022-01-07T21:00:21.805Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"688","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-01-03T11:32:06.339Z","metadata":{"doi":"10.25504/FAIRsharing.kpbna7","name":"Genotype Ontology","status":"ready","contacts":[{"contact_name":"Matthew Brush","contact_email":"mhb120@gmail.com"}],"homepage":"https://github.com/monarch-initiative/GENO-ontology/","citations":[],"identifier":688,"description":"An integrated ontology for representing the genetic variations described in genotypes, and their causal relationships to phenotype and diseases.","abbreviation":"GENO","support_links":[],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GENO","name":"GENO","portal":"BioPortal"}]},"legacy_ids":["bsg-000825","bsg-s000825"],"name":"FAIRsharing record for: Genotype Ontology","abbreviation":"GENO","url":"https://fairsharing.org/10.25504/FAIRsharing.kpbna7","doi":"10.25504/FAIRsharing.kpbna7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated ontology for representing the genetic variations described in genotypes, and their causal relationships to phenotype and diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Disease phenotype","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3058,"relation":"applies_to_content"}],"grants":[{"id":10270,"fairsharing_record_id":688,"organisation_id":2270,"relation":"associated_with","created_at":"2023-01-03T11:31:22.485Z","updated_at":"2023-01-03T11:31:22.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"689","type":"fairsharing_records","attributes":{"created_at":"2019-10-01T12:09:19.000Z","updated_at":"2022-07-20T12:48:57.378Z","metadata":{"doi":"10.25504/FAIRsharing.DbFnKV","name":"Radiology Gamuts Ontology","status":"ready","contacts":[{"contact_name":"Charles E. Kahn, Jr., MD, MS","contact_email":"ckahn@upenn.edu","contact_orcid":"0000-0002-6654-7434"}],"homepage":"https://www.gamuts.net","citations":[{"doi":"10.1148/rg.341135036","pubmed_id":24428295,"publication_id":2578}],"identifier":689,"description":"The Radiology Gamuts Ontology (RGO) is a knowledge resource for radiology diagnosis. RGO hosts more than 2,000 differential-diagnosis listings for imaging findings in all body systems. One can view all of the causes of an finding, then click on one of the diagnoses to view all of the findings that it causes.","abbreviation":"RGO","support_links":[{"url":"https://www.gamuts.net/about.php","name":"About RGO","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GAMUTS","name":"GAMUTS","portal":"BioPortal"}]},"legacy_ids":["bsg-001391","bsg-s001391"],"name":"FAIRsharing record for: Radiology Gamuts Ontology","abbreviation":"RGO","url":"https://fairsharing.org/10.25504/FAIRsharing.DbFnKV","doi":"10.25504/FAIRsharing.DbFnKV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Radiology Gamuts Ontology (RGO) is a knowledge resource for radiology diagnosis. RGO hosts more than 2,000 differential-diagnosis listings for imaging findings in all body systems. One can view all of the causes of an finding, then click on one of the diagnoses to view all of the findings that it causes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiology","Biomedical Science"],"domains":["Medical imaging","Disease","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2573,"pubmed_id":30624645,"title":"Integrating ontologies of human diseases, phenotypes, and radiological diagnosis.","year":2019,"url":"http://doi.org/10.1093/jamia/ocy161","authors":"Finke MT,Filice RW,Kahn CE Jr","journal":"J Am Med Inform Assoc","doi":"10.1093/jamia/ocy161","created_at":"2021-09-30T08:27:15.538Z","updated_at":"2021-09-30T08:27:15.538Z"},{"id":2574,"pubmed_id":30706210,"title":"Integrating an Ontology of Radiology Differential Diagnosis with ICD-10-CM, RadLex, and SNOMED CT.","year":2019,"url":"http://doi.org/10.1007/s10278-019-00186-3","authors":"Filice RW,Kahn CE Jr","journal":"J Digit Imaging","doi":"10.1007/s10278-019-00186-3","created_at":"2021-09-30T08:27:15.729Z","updated_at":"2021-09-30T08:27:15.729Z"},{"id":2578,"pubmed_id":24428295,"title":"Informatics in radiology: radiology gamuts ontology: differential diagnosis for the Semantic Web.","year":2014,"url":"http://doi.org/10.1148/rg.341135036","authors":"Budovec JJ,Lam CA,Kahn CE Jr","journal":"Radiographics","doi":"10.1148/rg.341135036","created_at":"2021-09-30T08:27:16.169Z","updated_at":"2021-09-30T08:27:16.169Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":671,"relation":"undefined"}],"grants":[{"id":6047,"fairsharing_record_id":689,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:27:47.155Z","updated_at":"2021-09-30T09:27:47.155Z","grant_id":null,"is_lead":true,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"682","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T14:22:47.000Z","updated_at":"2022-07-20T09:49:33.482Z","metadata":{"doi":"10.25504/FAIRsharing.d092a4","name":"Thesaurus for the Social Sciences","status":"ready","contacts":[{"contact_name":"Benjamin Zapilko","contact_email":"benjamin.zapilko@gesis.org"}],"homepage":"https://lod.gesis.org/thesoz/en/index","citations":[{"publication_id":3088}],"identifier":682,"description":"The Thesaurus for the Social Sciences (TheSoz) isa SKOS-based German thesaurus for the social sciences. It is intended as an aid for indexing documents and research information as well as for search term recommendation. The TheSoz is available in three languages (German, English and French). The thesaurus covers all topics and sub-disciplines of the social sciences, including sociology, employment re-search, pedagogics and political science.","abbreviation":"TheSoz","support_links":[{"url":"thesoz@gesis.org","name":"General Contact","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-001554","bsg-s001554"],"name":"FAIRsharing record for: Thesaurus for the Social Sciences","abbreviation":"TheSoz","url":"https://fairsharing.org/10.25504/FAIRsharing.d092a4","doi":"10.25504/FAIRsharing.d092a4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Thesaurus for the Social Sciences (TheSoz) isa SKOS-based German thesaurus for the social sciences. It is intended as an aid for indexing documents and research information as well as for search term recommendation. The TheSoz is available in three languages (German, English and French). The thesaurus covers all topics and sub-disciplines of the social sciences, including sociology, employment re-search, pedagogics and political science.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Social Science","Education Science","Political Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Employment"],"countries":["Germany"],"publications":[{"id":3088,"pubmed_id":null,"title":"TheSoz: A SKOS Representation of the Thesaurus for the Social Sciences","year":2012,"url":"http://www.semantic-web-journal.net/content/thesoz-skos-representation-thesaurus-social-sciences","authors":"Benjamin Zapilko, Johann Schaible, Philipp Mayr, Brigitte Mathiak","journal":"Semantic Web – Interoperability, Usability, Applicability","doi":null,"created_at":"2021-09-30T08:28:20.476Z","updated_at":"2021-09-30T08:28:20.476Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0 )","licence_id":178,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0","link_id":2230,"relation":"undefined"}],"grants":[{"id":6041,"fairsharing_record_id":682,"organisation_id":1700,"relation":"maintains","created_at":"2021-09-30T09:27:46.968Z","updated_at":"2021-09-30T09:27:46.968Z","grant_id":null,"is_lead":true,"saved_state":{"id":1700,"name":"Leibniz Institute for the Social Sciences (GESIS), Mannheim, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"683","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:31.424Z","metadata":{"doi":"10.25504/FAIRsharing.x56jsy","name":"Foundational Model of Anatomy","status":"ready","contacts":[{"contact_name":"Onard Mejino","contact_email":"mejino@uw.edu"}],"homepage":"http://si.washington.edu/projects/fma","citations":[],"identifier":683,"description":"The Foundational Model of Anatomy Ontology (FMA) is an evolving computer-based knowledge source for biomedical informatics; it is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Specifically, the FMA is a domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy. Its ontological framework can be applied and extended to all other species","abbreviation":"FMA","support_links":[{"url":"fma@sig.biostr.washington.edu","type":"Support email"},{"url":"fma-dev@u.washington.edu","name":"FMA Developers","type":"Mailing list"},{"url":"fma-announce@u.washington.edu","name":"FMA Announcements","type":"Mailing list"},{"url":"fma-content@u.washington.edu","name":"FMA Content","type":"Mailing list"},{"url":"http://si.washington.edu/content/comparisons-other-anatomy-sources","name":"Comparison with other anatomy sources","type":"Help documentation"},{"url":"http://si.washington.edu/content/purpose","name":"Purpose of the FMA","type":"Help documentation"},{"url":"http://si.washington.edu/projects/fma","type":"Help documentation"},{"url":"https://bitbucket.org/uwsig/fma/issues","name":"Issue Tracker","type":"Help documentation"},{"url":"http://si.washington.edu/content/summary-fma-resources","name":"Summary of Resources","type":"Help documentation"}],"year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FMA","name":"FMA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fma.html","name":"fma","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000011","bsg-s000011"],"name":"FAIRsharing record for: Foundational Model of Anatomy","abbreviation":"FMA","url":"https://fairsharing.org/10.25504/FAIRsharing.x56jsy","doi":"10.25504/FAIRsharing.x56jsy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Foundational Model of Anatomy Ontology (FMA) is an evolving computer-based knowledge source for biomedical informatics; it is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Specifically, the FMA is a domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy. Its ontological framework can be applied and extended to all other species","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17572},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11928},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12197},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16951}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Radiology","Biomedical Science"],"domains":["Phenotype","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":924,"pubmed_id":14759820,"title":"A reference ontology for biomedical informatics: the Foundational Model of Anatomy.","year":2004,"url":"http://doi.org/10.1016/j.jbi.2003.11.007","authors":"Rosse C,Mejino JL Jr","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2003.11.007","created_at":"2021-09-30T08:24:02.021Z","updated_at":"2021-09-30T08:24:02.021Z"},{"id":1831,"pubmed_id":27235801,"title":"From frames to OWL2: Converting the Foundational Model of Anatomy.","year":2016,"url":"http://doi.org/S0933-3657(16)30152-X","authors":"Detwiler LT,Mejino JLV,Brinkley JF","journal":"Artif Intell Med","doi":"10.1016/j.artmed.2016.04.003","created_at":"2021-09-30T08:25:45.647Z","updated_at":"2021-09-30T08:25:45.647Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1550,"relation":"applies_to_content"}],"grants":[{"id":6042,"fairsharing_record_id":683,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:47.005Z","updated_at":"2021-09-30T09:28:57.143Z","grant_id":28,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"LM 06822","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8472,"fairsharing_record_id":683,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:48.285Z","updated_at":"2021-09-30T09:32:48.335Z","grant_id":1782,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"LM 03528","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6043,"fairsharing_record_id":683,"organisation_id":2662,"relation":"maintains","created_at":"2021-09-30T09:27:47.037Z","updated_at":"2022-04-28T16:01:08.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":2662,"name":"Structural Informatics Group, University of Washington, Seattle, Washington, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6044,"fairsharing_record_id":683,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:47.061Z","updated_at":"2021-09-30T09:32:42.880Z","grant_id":1745,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"DE24417","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYTg9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--16f323877b0cea5b9b3df9ea964ed441ad10cff1/fma.png?disposition=inline","exhaustive_licences":false}},{"id":"685","type":"fairsharing_records","attributes":{"created_at":"2018-06-11T10:18:58.000Z","updated_at":"2022-02-08T10:28:22.709Z","metadata":{"doi":"10.25504/FAIRsharing.d7795c","name":"Analytical Data Interchange Protocol for Chromatographic Data","status":"ready","contacts":[{"contact_name":"ASTM Support","contact_email":"service@astm.org"}],"homepage":"http://www.astm.org/cgi-bin/resolver.cgi?E1947","citations":[],"identifier":685,"description":"The ANDI-MS specification (ASTM E1947) covers an analytical data interchange protocol for chromatographic data representation. The contents of the file include typical header in formation like instrument, column, detector, and operator description followed by raw or processed data, or both. Once data have been written or converted to this protocol, they can be read and processed by software packages that support the protocol. The end purpose of this protocol is intended to (1) transfer data between various vendors' instrument systems, (2) provide LIMS communications, (3) link data to document processing applications, (4) link data to spreadsheet applications, and ( 5) archive analytical data, or a combination thereof. It is based on NetCDF.","abbreviation":"ANDI-MS","support_links":[{"url":"https://www.astm.org/contact/","name":"Contact Form","type":"Contact form"}],"year_creation":2014},"legacy_ids":["bsg-001216","bsg-s001216"],"name":"FAIRsharing record for: Analytical Data Interchange Protocol for Chromatographic Data","abbreviation":"ANDI-MS","url":"https://fairsharing.org/10.25504/FAIRsharing.d7795c","doi":"10.25504/FAIRsharing.d7795c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ANDI-MS specification (ASTM E1947) covers an analytical data interchange protocol for chromatographic data representation. The contents of the file include typical header in formation like instrument, column, detector, and operator description followed by raw or processed data, or both. Once data have been written or converted to this protocol, they can be read and processed by software packages that support the protocol. The end purpose of this protocol is intended to (1) transfer data between various vendors' instrument systems, (2) provide LIMS communications, (3) link data to document processing applications, (4) link data to spreadsheet applications, and ( 5) archive analytical data, or a combination thereof. It is based on NetCDF.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10922}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Life Science"],"domains":["Chromatography","Mass spectrometry assay","Data model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6045,"fairsharing_record_id":685,"organisation_id":89,"relation":"maintains","created_at":"2021-09-30T09:27:47.086Z","updated_at":"2021-09-30T09:27:47.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":89,"name":"American Society of Testing and Materials (ASTM) International, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"715","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T11:18:37.000Z","updated_at":"2024-01-27T14:38:58.407Z","metadata":{"doi":"10.25504/FAIRsharing.OrNi1L","name":"Open Researcher and Contributor iD Identifier Schema","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"support@orcid.org"}],"homepage":"https://support.orcid.org/hc/en-us/articles/360006897674-Structure-of-the-ORCID-Identifier","citations":[],"identifier":715,"description":"The ORCID Identifier Schema is an https URI with a 16-digit number that is compatible with the ISO Standard (ISO 27729), also known as the International Standard Name Identifier (ISNI), e.g. https://orcid.org/0000-0001-2345-6789 Initially ORCID iDs will be randomly assigned by the ORCID Registry from a block of numbers that will not conflict with ISNI-formatted numbers assigned in other ways. ORCID iDs always require all 16 digits of the identifier; they can not be shortened to remove leading zeros if they exist. No information about a person is encoded in the ORCID iD. The identifiers were designed to be usable in situations where personally-identifiable information should/can not be shared. Also, since the ORCID iD is designed to be a career-long identifier, no information that can change over a person's career is embedded in the iD, e.g., country, institution, field of study.","abbreviation":"ORCID iD Identifier Schema","support_links":[{"url":"https://support.orcid.org/hc/en-us/requests/new","name":"Submit a Request / Comment","type":"Contact form"},{"url":"https://info.orcid.org/annual-reports/","name":"ORCID Annual Reports","type":"Other"},{"url":"https://github.com/ORCID","name":"ORCID on GitHub","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioregistry.io/registry/orcid","name":"bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/orcid","name":"identifiers.org","portal":"Other"},{"url":"https://www.wikidata.org/wiki/Property:P496","name":"Wikidata","portal":"Other"},{"url":"http://edamontology.org/data_4022","name":"EDAM - Bioscientific data analysis ontology","portal":"Other"},{"url":"http://purl.obolibrary.org/obo/IAO_0000708","name":"Information Artifact Ontology","portal":"Other"}],"regular_expression":"^\\d{4}-\\d{4}-\\d{4}-\\d{3}(\\d|X)$"},"legacy_ids":["bsg-001357","bsg-s001357"],"name":"FAIRsharing record for: Open Researcher and Contributor iD Identifier Schema","abbreviation":"ORCID iD Identifier Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.OrNi1L","doi":"10.25504/FAIRsharing.OrNi1L","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ORCID Identifier Schema is an https URI with a 16-digit number that is compatible with the ISO Standard (ISO 27729), also known as the International Standard Name Identifier (ISNI), e.g. https://orcid.org/0000-0001-2345-6789 Initially ORCID iDs will be randomly assigned by the ORCID Registry from a block of numbers that will not conflict with ISNI-formatted numbers assigned in other ways. ORCID iDs always require all 16 digits of the identifier; they can not be shortened to remove leading zeros if they exist. No information about a person is encoded in the ORCID iD. The identifiers were designed to be usable in situations where personally-identifiable information should/can not be shared. Also, since the ORCID iD is designed to be a career-long identifier, no information that can change over a person's career is embedded in the iD, e.g., country, institution, field of study.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17379},{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20025}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems"],"domains":["Citation","Bibliography","Publication","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":4098,"pubmed_id":null,"title":"ORCID 2022 Annual Report","year":2023,"url":"https://doi.org/10.23640/07243.22250740.v1","authors":"ORCID, Chris Shillum, Julie Anne Petro, Tom Demeranville, Ivo Wijnbergen, Will Simpson","journal":"Figshare (Online resource)","doi":"10.23640/07243.22250740.v1","created_at":"2024-01-24T22:36:21.761Z","updated_at":"2024-01-24T22:36:21.761Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1440,"relation":"undefined"},{"licence_name":"ORCID MIT-Style License","licence_id":638,"licence_url":"https://github.com/ORCID/ORCID-Source/blob/master/LICENSE.md","link_id":1439,"relation":"undefined"}],"grants":[{"id":6067,"fairsharing_record_id":715,"organisation_id":2263,"relation":"maintains","created_at":"2021-09-30T09:27:47.671Z","updated_at":"2021-09-30T09:27:47.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":2263,"name":"Open Research and Contributor ID Initiative (ORCID)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"717","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:40.444Z","metadata":{"doi":"10.25504/FAIRsharing.2chxxc","name":"NMR Self-defining Text Archive and Retrieval format","status":"ready","contacts":[{"contact_email":"bmrbhelp@bmrb.wisc.edu"}],"homepage":"http://www.bmrb.wisc.edu/dictionary/","identifier":717,"description":"NMR-STAR is an extension of the STAR file format to store the results of biological NMR experiments.","abbreviation":"NMR-STAR","support_links":[{"url":"http://lists.bmrb.wisc.edu/","type":"Mailing list"}]},"legacy_ids":["bsg-000285","bsg-s000285"],"name":"FAIRsharing record for: NMR Self-defining Text Archive and Retrieval format","abbreviation":"NMR-STAR","url":"https://fairsharing.org/10.25504/FAIRsharing.2chxxc","doi":"10.25504/FAIRsharing.2chxxc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NMR-STAR is an extension of the STAR file format to store the results of biological NMR experiments.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12092}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Molecular entity","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1723,"pubmed_id":17984079,"title":"BioMagResBank.","year":2007,"url":"http://doi.org/10.1093/nar/gkm957","authors":"Ulrich EL,Akutsu H,Doreleijers JF,Harano Y,Ioannidis YE,Lin J,Livny M,Mading S,Maziuk D,Miller Z,Nakatani E,Schulte CF,Tolmie DE,Kent Wenger R,Yao H,Markley JL","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm957","created_at":"2021-09-30T08:25:33.068Z","updated_at":"2021-09-30T11:29:19.360Z"}],"licence_links":[],"grants":[{"id":6068,"fairsharing_record_id":717,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:47.703Z","updated_at":"2021-09-30T09:27:47.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6069,"fairsharing_record_id":717,"organisation_id":257,"relation":"maintains","created_at":"2021-09-30T09:27:47.719Z","updated_at":"2021-09-30T09:27:47.719Z","grant_id":null,"is_lead":false,"saved_state":{"id":257,"name":"Biological Magnetic Resonance Data Bank (BMRB)","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"718","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T14:41:03.000Z","updated_at":"2022-09-28T14:00:50.614Z","metadata":{"doi":"10.25504/FAIRsharing.8337e2","name":"Integrated Authority File","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"gnd-info@dnb.de"}],"homepage":"https://www.dnb.de/EN/Professionell/Standardisierung/GND/gnd_node.html","citations":[],"identifier":718,"description":"The Integrated Authority File (GND) is a service facilitating the collaborative use and administration of authority data. These authority data represent and describe entities, i.e. persons, corporate bodies, conferences and events, geographic entities, topics and works relating to cultural and academic collections. Libraries in particular use the GND to catalogue publications. However, archives, museums, cultural and academic institutions, and researchers involved in research projects are also increasingly working with the GND. Authority data make cataloguing easier, offer definitive search entries and forge links between different information resources. Every entity in the GND features a unique and stable identifier (GND ID). This makes it possible to link the authority data with both each other and external data sets and web resources. This results in a cross-organisational, machine-readable data network.","abbreviation":"GND","support_links":[{"url":"https://d-nb.info/standards/elementset/gnd","name":"About the GND Ontology","type":"Help documentation"},{"url":"https://twitter.com/gndnet","name":"@gndnet","type":"Twitter"}],"year_creation":2012},"legacy_ids":["bsg-001555","bsg-s001555"],"name":"FAIRsharing record for: Integrated Authority File","abbreviation":"GND","url":"https://fairsharing.org/10.25504/FAIRsharing.8337e2","doi":"10.25504/FAIRsharing.8337e2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Authority File (GND) is a service facilitating the collaborative use and administration of authority data. These authority data represent and describe entities, i.e. persons, corporate bodies, conferences and events, geographic entities, topics and works relating to cultural and academic collections. Libraries in particular use the GND to catalogue publications. However, archives, museums, cultural and academic institutions, and researchers involved in research projects are also increasingly working with the GND. Authority data make cataloguing easier, offer definitive search entries and forge links between different information resources. Every entity in the GND features a unique and stable identifier (GND ID). This makes it possible to link the authority data with both each other and external data sets and web resources. This results in a cross-organisational, machine-readable data network.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Culture","Social Science"],"domains":["Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2231,"relation":"undefined"}],"grants":[{"id":6070,"fairsharing_record_id":718,"organisation_id":1139,"relation":"maintains","created_at":"2021-09-30T09:27:47.735Z","updated_at":"2021-09-30T09:27:47.735Z","grant_id":null,"is_lead":true,"saved_state":{"id":1139,"name":"German National Library, Leipzig, Germany","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"720","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:34.577Z","metadata":{"doi":"10.25504/FAIRsharing.sjf113","name":"Mosquito Insecticide Resistance Ontology","status":"ready","contacts":[{"contact_name":"C. Louis","contact_email":"louis@imbb.forth.gr"}],"homepage":"https://www.vectorbase.org/ontology-browser","identifier":720,"description":"Monitoring of insect vector populations with respect to their susceptibility to one or more insecticides is a crucial element of the strategies used for the control of arthropod-borne diseases. This management task can nowadays be achieved more efficiently when assisted by IT (Information Technology) tools, ranging from modern integrated databases to GIS (Geographic Information System). MIRO is an application ontology that can be used for the purpose of controlling mosquitoes and, thus, the diseases that they transmit.","abbreviation":"MIRO","support_links":[{"url":"https://www.vectorbase.org/contact","type":"Contact form"},{"url":"info@vectorbase.org","name":"General Contact","type":"Support email"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MIRO","name":"MIRO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/miro.html","name":"miro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000061","bsg-s000061"],"name":"FAIRsharing record for: Mosquito Insecticide Resistance Ontology","abbreviation":"MIRO","url":"https://fairsharing.org/10.25504/FAIRsharing.sjf113","doi":"10.25504/FAIRsharing.sjf113","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Monitoring of insect vector populations with respect to their susceptibility to one or more insecticides is a crucial element of the strategies used for the control of arthropod-borne diseases. This management task can nowadays be achieved more efficiently when assisted by IT (Information Technology) tools, ranging from modern integrated databases to GIS (Geographic Information System). MIRO is an application ontology that can be used for the purpose of controlling mosquitoes and, thus, the diseases that they transmit.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Insecticide resistance","Mutation","Phenotype"],"taxonomies":["Culicidae"],"user_defined_tags":[],"countries":["France","Greece","United Kingdom","United States"],"publications":[{"id":989,"pubmed_id":19547750,"title":"MIRO and IRbase: IT tools for the epidemiological monitoring of insecticide resistance in mosquito disease vectors.","year":2009,"url":"http://doi.org/10.1371/journal.pntd.0000465","authors":"Dialynas E,Topalis P,Vontas J,Louis C","journal":"PLoS Negl Trop Dis","doi":"10.1371/journal.pntd.0000465","created_at":"2021-09-30T08:24:09.471Z","updated_at":"2021-09-30T08:24:09.471Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1558,"relation":"undefined"}],"grants":[{"id":6071,"fairsharing_record_id":720,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:47.752Z","updated_at":"2021-09-30T09:27:47.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6073,"fairsharing_record_id":720,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:27:47.786Z","updated_at":"2021-09-30T09:29:21.169Z","grant_id":208,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LSHP-CT-2004-503578","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6072,"fairsharing_record_id":720,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:47.769Z","updated_at":"2021-09-30T09:31:20.369Z","grant_id":1125,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN266200400039C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"722","type":"fairsharing_records","attributes":{"created_at":"2020-02-20T14:22:40.000Z","updated_at":"2022-07-20T11:19:04.657Z","metadata":{"doi":"10.25504/FAIRsharing.5NhJFK","name":"VGNC Gene Symbols, Gene Names and IDs","status":"ready","contacts":[{"contact_email":"vgnc@genenames.org"}],"homepage":"https://vertebrate.genenames.org/download/statistics-and-files/","identifier":722,"description":"The VGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","abbreviation":"VGNC","year_creation":2016},"legacy_ids":["bsg-001450","bsg-s001450"],"name":"FAIRsharing record for: VGNC Gene Symbols, Gene Names and IDs","abbreviation":"VGNC","url":"https://fairsharing.org/10.25504/FAIRsharing.5NhJFK","doi":"10.25504/FAIRsharing.5NhJFK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VGNC approves both a short-form abbreviation known as a gene symbol, and also a longer and more descriptive name. Each symbol is unique and the committee ensures that each gene is only given one approved gene symbol. This allows for clear and unambiguous reference to genes in scientific communications, and facilitates electronic data retrieval from databases and publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["Bos taurus","Canis familiaris","Equus caballus","Felis catus","Macaca mulatta","Pan troglodytes","Sus scrofa","Vertebrata"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6075,"fairsharing_record_id":722,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:47.819Z","updated_at":"2021-09-30T09:32:37.378Z","grant_id":1704,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"208349/Z/17/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6074,"fairsharing_record_id":722,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:47.802Z","updated_at":"2021-09-30T09:27:47.802Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6076,"fairsharing_record_id":722,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:47.881Z","updated_at":"2021-09-30T09:31:12.536Z","grant_id":1064,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U24HG003345","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"703","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2023-03-14T17:25:23.169Z","metadata":{"doi":"10.25504/FAIRsharing.fbn4sh","name":"Reference Sequence Annotation","status":"ready","contacts":[{"contact_name":"Zuotian Tatum","contact_email":"z.tatum@lumc.nl"}],"homepage":"http://bioportal.bioontology.org/ontologies/RSA","citations":[],"identifier":703,"description":"An ontology for sequence annotations and how to preserve them with reference sequences.","abbreviation":"RSA","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RSA","name":"RSA","portal":"BioPortal"}]},"legacy_ids":["bsg-000844","bsg-s000844"],"name":"FAIRsharing record for: Reference Sequence Annotation","abbreviation":"RSA","url":"https://fairsharing.org/10.25504/FAIRsharing.fbn4sh","doi":"10.25504/FAIRsharing.fbn4sh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for sequence annotations and how to preserve them with reference sequences.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11868}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10413,"fairsharing_record_id":703,"organisation_id":3078,"relation":"undefined","created_at":"2023-03-14T17:25:15.627Z","updated_at":"2023-03-14T17:25:15.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":3078,"name":"University of Leiden, Netherlands","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"706","type":"fairsharing_records","attributes":{"created_at":"2020-07-08T12:48:00.000Z","updated_at":"2023-09-29T11:55:01.948Z","metadata":{"doi":"10.25504/FAIRsharing.ff6fca","name":"ISO 3166-1:2013 Codes for the representation of names of countries and their subdivisions — Part 1: Country codes","status":"ready","contacts":[{"contact_name":"Maëlle Gaonac'h","contact_email":"maelle.gaonach@afnor.org"}],"homepage":"https://www.iso.org/standard/63545.html","citations":[],"identifier":706,"description":"ISO 3166-1:2013 is intended for use in any application requiring the expression of current country names in coded form; it also includes basic guidelines for its implementation and maintenance.","abbreviation":"ISO 3166-1:2013","year_creation":2006},"legacy_ids":["bsg-001508","bsg-s001508"],"name":"FAIRsharing record for: ISO 3166-1:2013 Codes for the representation of names of countries and their subdivisions — Part 1: Country codes","abbreviation":"ISO 3166-1:2013","url":"https://fairsharing.org/10.25504/FAIRsharing.ff6fca","doi":"10.25504/FAIRsharing.ff6fca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 3166-1:2013 is intended for use in any application requiring the expression of current country names in coded form; it also includes basic guidelines for its implementation and maintenance.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17377},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13179}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics","Human Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2006,"relation":"undefined"}],"grants":[{"id":6052,"fairsharing_record_id":706,"organisation_id":1529,"relation":"maintains","created_at":"2021-09-30T09:27:47.294Z","updated_at":"2021-09-30T09:27:47.294Z","grant_id":null,"is_lead":true,"saved_state":{"id":1529,"name":"International Standards Organisation (ISO) ISO/TC 46: Information and documentation","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10941,"fairsharing_record_id":706,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:49:37.919Z","updated_at":"2023-09-27T14:49:37.919Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"852","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:02:27.000Z","updated_at":"2022-12-13T10:25:04.121Z","metadata":{"doi":"10.25504/FAIRsharing.BOvdiu","name":"Simple Spectral Lines Data Model","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/SSLDM/","citations":[{"publication_id":2945}],"identifier":852,"description":"The Simple Spectral Lines Data Model (SSLDM) standard presents a Data Model to describe Spectral Line Transitions in the context of the Simple Line Access Protocol defined by the IVOA. The main objective of the model is to integrate with and support the Simple Line Access Protocol, with which it forms a compact unit. This integration allows seamless access to Spectral Line Transitions available worldwide in the VO context. This model does not provide a complete description of Atomic and Molecular Physics, which scope is outside of this document. In the astrophysical sense, a line is considered as the result of a transition between two energy levels. Under the basis of this assumption, a whole set of objects and attributes have been derived to define properly the necessary information to describe lines appearing in astrophysical contexts. The document has been written taking into account available information from many different Line data providers.","abbreviation":"SSLDM","year_creation":2010},"legacy_ids":["bsg-001165","bsg-s001165"],"name":"FAIRsharing record for: Simple Spectral Lines Data Model","abbreviation":"SSLDM","url":"https://fairsharing.org/10.25504/FAIRsharing.BOvdiu","doi":"10.25504/FAIRsharing.BOvdiu","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Spectral Lines Data Model (SSLDM) standard presents a Data Model to describe Spectral Line Transitions in the context of the Simple Line Access Protocol defined by the IVOA. The main objective of the model is to integrate with and support the Simple Line Access Protocol, with which it forms a compact unit. This integration allows seamless access to Spectral Line Transitions available worldwide in the VO context. This model does not provide a complete description of Atomic and Molecular Physics, which scope is outside of this document. In the astrophysical sense, a line is considered as the result of a transition between two energy levels. Under the basis of this assumption, a whole set of objects and attributes have been derived to define properly the necessary information to describe lines appearing in astrophysical contexts. The document has been written taking into account available information from many different Line data providers.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11486}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2945,"pubmed_id":null,"title":"Simple Spectral Lines Data Model Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.1209O","authors":"Osuna, Pedro; Salgado, Jesus; Guainazzi, Matteo; Dubernet, Marie-Lise; Roueff, Evelyne","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.965Z","updated_at":"2021-09-30T08:28:02.965Z"}],"licence_links":[],"grants":[{"id":6281,"fairsharing_record_id":852,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:55.011Z","updated_at":"2021-09-30T09:27:55.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6282,"fairsharing_record_id":852,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:27:55.036Z","updated_at":"2021-09-30T09:27:55.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"853","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:16.073Z","metadata":{"doi":"10.25504/FAIRsharing.w5kj3q","name":"Loggerhead Nesting Ontology","status":"deprecated","contacts":[{"contact_name":"Peter Midford","contact_email":"peteremidford@yahoo.com","contact_orcid":"0000-0001-6512-3296"}],"homepage":"http://obofoundry.org/ontology/loggerhead.html","citations":[{"doi":"10.1093/bioinformatics/bth433","pubmed_id":15284105,"publication_id":1729}],"identifier":853,"description":"A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for Loggerhead sea turtle (Caretta caretta) nesting behavior, based on the published ethogram of Hailman and Elowson.","abbreviation":null,"support_links":[{"url":"https://www.jstor.org/stable/3892915","type":"Help documentation"},{"url":"http://mesquiteproject.org/midford/","name":"Peter Midford Project Page","type":"Help documentation"}],"year_creation":2001,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LHN","name":"LHN","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/loggerhead.html","name":"loggerhead","portal":"OBO Foundry"}],"deprecation_date":"2019-07-01","deprecation_reason":"This resource is deprecated. This deprecation is confirmed by the OBO Foundry."},"legacy_ids":["bsg-002577","bsg-s002577"],"name":"FAIRsharing record for: Loggerhead Nesting Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.w5kj3q","doi":"10.25504/FAIRsharing.w5kj3q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for Loggerhead sea turtle (Caretta caretta) nesting behavior, based on the published ethogram of Hailman and Elowson.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Behavioural Biology","Life Science"],"domains":["Behavior"],"taxonomies":["Caretta caretta"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1729,"pubmed_id":15284105,"title":"Ontologies for behavior.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth433","authors":"Midford PE","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth433","created_at":"2021-09-30T08:25:33.771Z","updated_at":"2021-09-30T08:25:33.771Z"}],"licence_links":[],"grants":[{"id":6283,"fairsharing_record_id":853,"organisation_id":2798,"relation":"maintains","created_at":"2021-09-30T09:27:55.061Z","updated_at":"2021-09-30T09:27:55.061Z","grant_id":null,"is_lead":true,"saved_state":{"id":2798,"name":"The Mesquite Project","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"854","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T11:25:53.000Z","updated_at":"2021-11-24T13:20:04.611Z","metadata":{"doi":"10.25504/FAIRsharing.gct3wr","name":"statismo - Statistical Image And Shape Models","status":"ready","contacts":[{"contact_name":"Marcel Lüthi","contact_email":"marcel.luethi@unibas.ch","contact_orcid":"0000-0002-9686-2195"}],"homepage":"https://github.com/statismo/statismo","citations":[],"identifier":854,"description":"Statismo defines a storage format (Statistical Image And Shape Models) based on HDF5, which includes all the information necessary to use the model, as well as meta-data about the model creation, which helps to make model building reproducible.","abbreviation":"statismo","support_links":[{"url":"https://groups.google.com/forum/#!forum/statismo-users","type":"Mailing list"},{"url":"https://github.com/statismo/statismo/wiki","type":"Github"},{"url":"http://www.shapesymposium.org/2014/docs/statismo-shape-tutorial.pdf","name":"Powerpoint presentation","type":"Help documentation"}]},"legacy_ids":["bsg-000574","bsg-s000574"],"name":"FAIRsharing record for: statismo - Statistical Image And Shape Models","abbreviation":"statismo","url":"https://fairsharing.org/10.25504/FAIRsharing.gct3wr","doi":"10.25504/FAIRsharing.gct3wr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Statismo defines a storage format (Statistical Image And Shape Models) based on HDF5, which includes all the information necessary to use the model, as well as meta-data about the model creation, which helps to make model building reproducible.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Statistics"],"domains":["Image","Shape"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":710,"pubmed_id":null,"title":"Statismo - A framework for PCA based statistical models","year":2012,"url":"http://doi.org/http://hdl.handle.net/10380/3371","authors":"Lüthi M., Blanc R., Albrecht T., Gass T., Goksel O., Büchler P., Kistler M., Bousleiman H., Reyes M., Cattin P., Vetter T.","journal":"The Insight Journal","doi":"http://hdl.handle.net/10380/3371","created_at":"2021-09-30T08:23:38.286Z","updated_at":"2021-09-30T08:23:38.286Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":185,"relation":"undefined"}],"grants":[{"id":6284,"fairsharing_record_id":854,"organisation_id":1199,"relation":"maintains","created_at":"2021-09-30T09:27:55.086Z","updated_at":"2021-09-30T09:27:55.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":1199,"name":"Graphics and Vision Research Group, University of Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6287,"fairsharing_record_id":854,"organisation_id":591,"relation":"maintains","created_at":"2021-09-30T09:27:55.162Z","updated_at":"2021-09-30T09:27:55.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":591,"name":"Computer Vision Lab, ETH Zurich, Zurich, Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6285,"fairsharing_record_id":854,"organisation_id":116,"relation":"maintains","created_at":"2021-09-30T09:27:55.112Z","updated_at":"2021-09-30T09:27:55.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":116,"name":"ARTORG Center for Biomedical Engineering Research","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6286,"fairsharing_record_id":854,"organisation_id":1395,"relation":"maintains","created_at":"2021-09-30T09:27:55.137Z","updated_at":"2021-09-30T09:27:55.137Z","grant_id":null,"is_lead":false,"saved_state":{"id":1395,"name":"Institute for Surgical Technology and Biomechanics, Bern, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"855","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T13:06:42.000Z","updated_at":"2022-07-20T12:04:47.205Z","metadata":{"doi":"10.25504/FAIRsharing.424420","name":"Genetic Glyco-Diseases Ontology","status":"ready","contacts":[{"contact_name":"Hisashi Narimatsu","contact_email":"h.narimatsu@aist.go.jp","contact_orcid":"0000-0002-8402-133X"}],"homepage":"http://acgg.asia/db/diseases/html/ggdonto.html","identifier":855,"description":"Focused on the molecular etiology, pathogenesis, and clinical manifestations of genetic diseases and disorders of glycan metabolism and developed as a knowledge-base for this scientific field, GGDonto provides comprehensive information on various topics, including links to aid the integration with other scientific resources. The availability and accessibility of this knowledge will help users better understand how genetic defects impact the metabolism of glycans as well as how this impaired metabolism affects various biological functions and human health. In this way, GGDonto will be useful in fields related to glycoscience, including cell biology, biotechnology, and biomedical, and pharmaceutical research.","abbreviation":"GGDonto","support_links":[{"url":"http://jcggdb.jp/rdf/diseases/ggdonto_en.pdf","name":"User Guide","type":"Help documentation"},{"url":"http://jcggdb.jp/rdf/diseases/documentation_ggdonto.pdf","name":"Ontology Documentation","type":"Help documentation"},{"url":"http://jcggdb.jp/rdf/diseases/ggdonto_diagram.png","name":"Ontology diagram","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001211","bsg-s001211"],"name":"FAIRsharing record for: Genetic Glyco-Diseases Ontology","abbreviation":"GGDonto","url":"https://fairsharing.org/10.25504/FAIRsharing.424420","doi":"10.25504/FAIRsharing.424420","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Focused on the molecular etiology, pathogenesis, and clinical manifestations of genetic diseases and disorders of glycan metabolism and developed as a knowledge-base for this scientific field, GGDonto provides comprehensive information on various topics, including links to aid the integration with other scientific resources. The availability and accessibility of this knowledge will help users better understand how genetic defects impact the metabolism of glycans as well as how this impaired metabolism affects various biological functions and human health. In this way, GGDonto will be useful in fields related to glycoscience, including cell biology, biotechnology, and biomedical, and pharmaceutical research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Glycan sequences"],"countries":["Japan"],"publications":[{"id":2219,"pubmed_id":29669592,"title":"GGDonto ontology as a knowledge-base for genetic diseases and disorders of glycan metabolism and their causative genes.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0182-0","authors":"Solovieva E,Shikanai T,Fujita N,Narimatsu H","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0182-0","created_at":"2021-09-30T08:26:30.048Z","updated_at":"2021-09-30T08:26:30.048Z"}],"licence_links":[],"grants":[{"id":6289,"fairsharing_record_id":855,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:55.212Z","updated_at":"2021-09-30T09:27:55.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9309,"fairsharing_record_id":855,"organisation_id":2007,"relation":"maintains","created_at":"2022-04-11T12:07:29.412Z","updated_at":"2022-04-11T12:07:29.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"856","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:34:38.153Z","metadata":{"doi":"10.25504/FAIRsharing.y2dt83","name":"Cell Behavior Ontology","status":"ready","contacts":[{"contact_name":"James P. Sluka","contact_email":"JSluka@indiana.edu","contact_orcid":"0000-0002-5901-1404"}],"homepage":"http://cbo.biocomplexity.indiana.edu/cbo/","identifier":856,"description":"The Cell Behavior Ontology (CBO) describes multi-cell computational models. In particular to describe both the existential behaviors of cells (spatiality, growth, movement, adhesion, death, ...) and computational models of those behaviors.","abbreviation":"CBO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CBO","name":"CBO","portal":"BioPortal"}]},"legacy_ids":["bsg-002570","bsg-s002570"],"name":"FAIRsharing record for: Cell Behavior Ontology","abbreviation":"CBO","url":"https://fairsharing.org/10.25504/FAIRsharing.y2dt83","doi":"10.25504/FAIRsharing.y2dt83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Behavior Ontology (CBO) describes multi-cell computational models. In particular to describe both the existential behaviors of cells (spatiality, growth, movement, adhesion, death, ...) and computational models of those behaviors.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10877},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12016},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16929}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Systems Biology"],"domains":["Mathematical model","Cell","Cell adhesion"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2458,"pubmed_id":24755304,"title":"The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu210","authors":"Sluka JP, Shirinifard A, Swat M, Cosmanescu A, Heiland RW, Glazier JA.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu210","created_at":"2021-09-30T08:27:01.503Z","updated_at":"2021-09-30T08:27:01.503Z"}],"licence_links":[],"grants":[{"id":6291,"fairsharing_record_id":856,"organisation_id":1327,"relation":"maintains","created_at":"2021-09-30T09:27:55.262Z","updated_at":"2021-09-30T09:27:55.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6292,"fairsharing_record_id":856,"organisation_id":2950,"relation":"funds","created_at":"2021-09-30T09:27:55.293Z","updated_at":"2021-09-30T09:29:24.953Z","grant_id":238,"is_lead":false,"saved_state":{"id":2950,"name":"United States Environmental Protection Agency","grant":"R835001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6293,"fairsharing_record_id":856,"organisation_id":393,"relation":"maintains","created_at":"2021-09-30T09:27:55.401Z","updated_at":"2021-09-30T09:27:55.401Z","grant_id":null,"is_lead":false,"saved_state":{"id":393,"name":"Cell Behaviour Ontology (CBO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6295,"fairsharing_record_id":856,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:55.485Z","updated_at":"2021-09-30T09:27:55.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6294,"fairsharing_record_id":856,"organisation_id":1960,"relation":"funds","created_at":"2021-09-30T09:27:55.443Z","updated_at":"2021-09-30T09:29:50.712Z","grant_id":431,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","grant":"LM007885","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6290,"fairsharing_record_id":856,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:55.237Z","updated_at":"2021-09-30T09:30:30.371Z","grant_id":739,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01GM76692","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"857","type":"fairsharing_records","attributes":{"created_at":"2018-07-02T16:21:51.000Z","updated_at":"2022-11-30T07:48:15.987Z","metadata":{"doi":"10.25504/FAIRsharing.wqSgg8","name":"Project Tycho 2.0 custom-compiled dataset format","status":"ready","contacts":[{"contact_name":"Wilbert van Panhuis","contact_email":"wilbert.van.panhuis@pitt.edu","contact_orcid":"0000-0002-7278-9982"}],"homepage":"https://www.tycho.pitt.edu/dataformat/ProjectTychoCustomCompiledDataFormat.pdf","citations":[],"identifier":857,"description":"The Project Tycho 2.0 custom-compiled dataset format is used for datasets compiled and downloaded through the Project Tycho Graphical User Interface or API. In addition to those fields available to the pre-compiled dataset formats provided by Tycho, this custom-compiled dataset format also includes, for each count, the DOI of the pre-compiled dataset that contains the count.","abbreviation":null,"support_links":[{"url":"https://www.tycho.pitt.edu/#contact","name":"Project Tycho contact form","type":"Contact form"}],"year_creation":2018},"legacy_ids":["bsg-001219","bsg-s001219"],"name":"FAIRsharing record for: Project Tycho 2.0 custom-compiled dataset format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.wqSgg8","doi":"10.25504/FAIRsharing.wqSgg8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Project Tycho 2.0 custom-compiled dataset format is used for datasets compiled and downloaded through the Project Tycho Graphical User Interface or API. In addition to those fields available to the pre-compiled dataset formats provided by Tycho, this custom-compiled dataset format also includes, for each count, the DOI of the pre-compiled dataset that contains the count.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12536}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Bacteria","Eukaryota","Fungi","Homo sapiens","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":682,"relation":"undefined"},{"licence_name":"Project Tycho CC BY 4.0 License Document","licence_id":684,"licence_url":"https://www.tycho.pitt.edu/license/","link_id":678,"relation":"undefined"}],"grants":[{"id":6296,"fairsharing_record_id":857,"organisation_id":3115,"relation":"maintains","created_at":"2021-09-30T09:27:55.522Z","updated_at":"2021-09-30T09:27:55.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6300,"fairsharing_record_id":857,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:27:55.686Z","updated_at":"2021-09-30T09:30:41.021Z","grant_id":820,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"49276","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6299,"fairsharing_record_id":857,"organisation_id":2370,"relation":"maintains","created_at":"2021-09-30T09:27:55.635Z","updated_at":"2021-09-30T09:27:55.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2370,"name":"Project Tycho","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6298,"fairsharing_record_id":857,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:27:55.593Z","updated_at":"2021-09-30T09:32:41.287Z","grant_id":1733,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"5K01ES026836-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6297,"fairsharing_record_id":857,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:55.555Z","updated_at":"2021-09-30T09:28:56.182Z","grant_id":22,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"5U54GM088491-09","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ3NCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--184ae00f258551bd2d121570b6def89bd3b033d4/tycho.png?disposition=inline","exhaustive_licences":false}},{"id":"858","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:26.656Z","metadata":{"doi":"10.25504/FAIRsharing.haj4pr","name":"Binary Probe Map Format","status":"ready","homepage":"http://www.affymetrix.com/support/developer/powertools/changelog/gcos-agcc/bpmap.html","identifier":858,"description":"The BPMAP file contains information relating to the design of the Affymetrix tiling arrays. The format of the BPMAP file is a binary file with data stored in big-endian format.","abbreviation":"BPMAP","year_creation":2009},"legacy_ids":["bsg-000215","bsg-s000215"],"name":"FAIRsharing record for: Binary Probe Map Format","abbreviation":"BPMAP","url":"https://fairsharing.org/10.25504/FAIRsharing.haj4pr","doi":"10.25504/FAIRsharing.haj4pr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BPMAP file contains information relating to the design of the Affymetrix tiling arrays. The format of the BPMAP file is a binary file with data stored in big-endian format.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12433}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Biology"],"domains":["Expression data"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6301,"fairsharing_record_id":858,"organisation_id":2825,"relation":"maintains","created_at":"2021-09-30T09:27:55.723Z","updated_at":"2021-09-30T09:27:55.723Z","grant_id":null,"is_lead":true,"saved_state":{"id":2825,"name":"Thermo Fisher Scientific, Waltham, Massachusetts, United States","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"859","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:44:30.955Z","metadata":{"doi":"10.25504/FAIRsharing.7rngj0","name":"International Classification of Functioning, Disability and Health","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"info@who.int"}],"homepage":"https://www.who.int/standards/classifications/international-classification-of-functioning-disability-and-health","identifier":859,"description":"The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related domains. As the functioning and disability of an individual occurs in a context, ICF also includes a list of environmental factors. ICF is the WHO framework for measuring health and disability at both individual and population levels. ICF was officially endorsed by all 191 WHO Member States in the Fifty-fourth World Health Assembly on 22 May 2001 (resolution WHA 54.21) as the international standard to describe and measure health and disability.","abbreviation":"ICF","support_links":[{"url":"https://www.who.int/docs/default-source/classification/icf/drafticfpracticalmanual2.pdf?sfvrsn=8a214b01_4","name":"Practical User Manual","type":"Help documentation"},{"url":"https://cdn.who.int/media/docs/default-source/classification/icf/icfbeginnersguide.pdf?sfvrsn=eead63d3_4","name":"Beginner's Guide","type":"Help documentation"},{"url":"https://www.icf-core-sets.org/","name":"ICF Core Sets","type":"Help documentation"},{"url":"https://www.who.int/docs/default-source/classification/icf/icfchecklist.pdf?sfvrsn=b7ff99e9_4","name":"ICF Patient Checklist","type":"Help documentation"},{"url":"https://apps.who.int/gb/archive/pdf_files/WHA54/ea54r21.pdf?ua=1\u0026ua=1\u0026ua=1","name":"World Health Assembly Resolution WHA 54.21","type":"Help documentation"},{"url":"http://icfeducation.org/","name":"ICF Education Portal","type":"Help documentation"},{"url":"https://www.icf-elearning.com/","name":"ICF e-Learning Tool","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/International_Classification_of_Functioning,_Disability_and_Health","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2001,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICF","name":"ICF","portal":"BioPortal"}]},"legacy_ids":["bsg-002643","bsg-s002643"],"name":"FAIRsharing record for: International Classification of Functioning, Disability and Health","abbreviation":"ICF","url":"https://fairsharing.org/10.25504/FAIRsharing.7rngj0","doi":"10.25504/FAIRsharing.7rngj0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related domains. As the functioning and disability of an individual occurs in a context, ICF also includes a list of environmental factors. ICF is the WHO framework for measuring health and disability at both individual and population levels. ICF was officially endorsed by all 191 WHO Member States in the Fifty-fourth World Health Assembly on 22 May 2001 (resolution WHA 54.21) as the international standard to describe and measure health and disability.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16979}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Primary Health Care","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":1417,"relation":"undefined"},{"licence_name":"World Health Organization (WHO) Copyright, Licencing and Permissions","licence_id":868,"licence_url":"https://www.who.int/about/who-we-are/publishing-policies/copyright","link_id":1415,"relation":"undefined"}],"grants":[{"id":6302,"fairsharing_record_id":859,"organisation_id":1478,"relation":"maintains","created_at":"2021-09-30T09:27:55.786Z","updated_at":"2021-09-30T09:27:55.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":1478,"name":"International Classification of Functioning, Disability and Health (ICF) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"860","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-07-20T12:29:34.031Z","metadata":{"doi":"10.25504/FAIRsharing.2fnz2n","name":"GlycoRDF","status":"ready","contacts":[{"contact_name":"Issaku Yamada","contact_email":"issaku@noguchi.or.jp"}],"homepage":"http://www.glycoinfo.org/GlycoRDF/","citations":[{"doi":"10.1093/bioinformatics/btu732","pubmed_id":25388145,"publication_id":2190}],"identifier":860,"description":"GlycoRDF is a standard representation for storing Glycomcis data (glycan structures, publication information, biological source information, experimental data) in RDF. The RDF language is defined by an OWL ontology and documented in the ontology and generated WORD files. Its GitHub repository also contains source code for the generation of RDF data for glycomics databases.","abbreviation":"GLYCORDF","support_links":[{"url":"https://github.com/ReneRanzinger/GlycoRDF/blob/master/ontology/documentation.docx","name":"Documentation (Word format)","type":"Github"}],"year_creation":2014,"associated_tools":[{"url":"https://bit.ly/2BjEgZB","name":"Ontology Visualization"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GLYCORDF","name":"GLYCORDF","portal":"BioPortal"}]},"legacy_ids":["bsg-000889","bsg-s000889"],"name":"FAIRsharing record for: GlycoRDF","abbreviation":"GLYCORDF","url":"https://fairsharing.org/10.25504/FAIRsharing.2fnz2n","doi":"10.25504/FAIRsharing.2fnz2n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoRDF is a standard representation for storing Glycomcis data (glycan structures, publication information, biological source information, experimental data) in RDF. The RDF language is defined by an OWL ontology and documented in the ontology and generated WORD files. Its GitHub repository also contains source code for the generation of RDF data for glycomics databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Glycomics"],"domains":["Molecular structure"],"taxonomies":["All"],"user_defined_tags":["Glycan Annotation"],"countries":["Australia","Japan","United States"],"publications":[{"id":2078,"pubmed_id":24280648,"title":"Introducing glycomics data into the Semantic Web.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-39","authors":"Aoki-Kinoshita KF,Bolleman J,Campbell MP,Kawano S,Kim JD,Lutteke T,Matsubara M,Okuda S,Ranzinger R,Sawaki H,Shikanai T,Shinmachi D,Suzuki Y,Toukach P,Yamada I,Packer NH,Narimatsu H","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-39","created_at":"2021-09-30T08:26:14.257Z","updated_at":"2021-09-30T08:26:14.257Z"},{"id":2190,"pubmed_id":25388145,"title":"GlycoRDF: an ontology to standardize glycomics data in RDF.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu732","authors":"Ranzinger R,Aoki-Kinoshita KF,Campbell MP,Kawano S,Lutteke T,Okuda S,Shinmachi D,Shikanai T,Sawaki H,Toukach P,Matsubara M,Yamada I,Narimatsu H","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu732","created_at":"2021-09-30T08:26:26.872Z","updated_at":"2021-09-30T08:26:26.872Z"}],"licence_links":[],"grants":[{"id":6305,"fairsharing_record_id":860,"organisation_id":2591,"relation":"maintains","created_at":"2021-09-30T09:27:55.898Z","updated_at":"2021-09-30T09:27:55.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":2591,"name":"Soka University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6303,"fairsharing_record_id":860,"organisation_id":1201,"relation":"maintains","created_at":"2021-09-30T09:27:55.822Z","updated_at":"2021-09-30T09:27:55.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":1201,"name":"Griffith University, Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6304,"fairsharing_record_id":860,"organisation_id":2813,"relation":"maintains","created_at":"2021-09-30T09:27:55.860Z","updated_at":"2021-09-30T09:27:55.860Z","grant_id":null,"is_lead":false,"saved_state":{"id":2813,"name":"The Noguchi Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6306,"fairsharing_record_id":860,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:27:55.932Z","updated_at":"2021-09-30T09:27:55.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"861","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:19:04.808Z","metadata":{"doi":"10.25504/FAIRsharing.cp0fs9","name":"ARLEQUIN Project Format","status":"ready","contacts":[{"contact_name":"Laurent Excoffier","contact_email":"laurent.excoffier@zoo.unibe.ch","contact_orcid":"0000-0002-7507-6494"}],"homepage":"http://cmpg.unibe.ch/software/arlequin35/","identifier":861,"description":"Arlequin ver 3.0 is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework.","abbreviation":null,"support_links":[{"url":"http://cmpg.unibe.ch/software/arlequin35/Arl35Screenshots.html","type":"Help documentation"},{"url":"http://popgen.unibe.ch/software/arlequin35/man/Arlequin35.pdf","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-000207","bsg-s000207"],"name":"FAIRsharing record for: ARLEQUIN Project Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.cp0fs9","doi":"10.25504/FAIRsharing.cp0fs9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Arlequin ver 3.0 is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Population Genetics"],"domains":["DNA sequence data","Analysis","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1682,"pubmed_id":19325852,"title":"Arlequin (version 3.0): an integrated software package for population genetics data analysis.","year":2005,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19325852","authors":"Excoffier L,Laval G,Schneider S","journal":"Evol Bioinform Online","doi":null,"created_at":"2021-09-30T08:25:28.462Z","updated_at":"2021-09-30T08:25:28.462Z"},{"id":1683,"pubmed_id":21565059,"title":"Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.","year":2011,"url":"http://doi.org/10.1111/j.1755-0998.2010.02847.x","authors":"Excoffier L,Lischer HE","journal":"Mol Ecol Resour","doi":"10.1111/j.1755-0998.2010.02847.x","created_at":"2021-09-30T08:25:28.571Z","updated_at":"2021-09-30T08:25:28.571Z"}],"licence_links":[],"grants":[{"id":6307,"fairsharing_record_id":861,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:27:55.964Z","updated_at":"2021-09-30T09:31:05.432Z","grant_id":1011,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31-56755.99","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6308,"fairsharing_record_id":861,"organisation_id":575,"relation":"maintains","created_at":"2021-09-30T09:27:55.993Z","updated_at":"2021-09-30T09:27:55.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":575,"name":"Computational and Molecular Population Genetics Lab, University of Bern, Bern, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"840","type":"fairsharing_records","attributes":{"created_at":"2019-11-22T15:18:30.000Z","updated_at":"2022-07-20T09:55:24.772Z","metadata":{"doi":"10.25504/FAIRsharing.NIvbz9","name":"Art and Archaeology Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/27X/en/","citations":[],"identifier":840,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Art and Archaeology\" FRANCIS database (1972-2015). It consists of 1960 entries available in mainly 2 languages (English, French) and grouped into 133 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001403","bsg-s001403"],"name":"FAIRsharing record for: Art and Archaeology Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.NIvbz9","doi":"10.25504/FAIRsharing.NIvbz9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Art and Archaeology\" FRANCIS database (1972-2015). It consists of 1960 entries available in mainly 2 languages (English, French) and grouped into 133 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11297}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Archaeology","Humanities","Art"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1340,"relation":"undefined"}],"grants":[{"id":6253,"fairsharing_record_id":840,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:54.261Z","updated_at":"2021-09-30T09:27:54.261Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6254,"fairsharing_record_id":840,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:54.285Z","updated_at":"2021-09-30T09:27:54.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"841","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T17:29:10.000Z","updated_at":"2023-05-05T08:42:45.921Z","metadata":{"doi":"10.25504/FAIRsharing.hgsFLe","name":"Darwin Core Germplasm","status":"ready","contacts":[{"contact_name":"Dag Endresen","contact_email":"dag.endresen@gmail.com","contact_orcid":"0000-0002-2352-5497"}],"homepage":"https://github.com/dagendresen/darwincore-germplasm","citations":[],"identifier":841,"description":"The Darwin Core germplasm extension (DwC-germplasm) was developed to provide a bridge between the established standards in use by the genebank community for plant genetic resources for food and agriculture (PGRFA) and the standards maintained by the Biodiversity Information Standards/Taxonomic Databases Working Group (TDWG). The DwC-germplasm provides an extension to the Darwin Core standard of the TDWG for occurrences. Darwin Core can be seen as an extension to the Dublin Core Metadata Data Initiative (DCMI) terms.","abbreviation":"DwC-germplasm","year_creation":2012},"legacy_ids":["bsg-001319","bsg-s001319"],"name":"FAIRsharing record for: Darwin Core Germplasm","abbreviation":"DwC-germplasm","url":"https://fairsharing.org/10.25504/FAIRsharing.hgsFLe","doi":"10.25504/FAIRsharing.hgsFLe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Darwin Core germplasm extension (DwC-germplasm) was developed to provide a bridge between the established standards in use by the genebank community for plant genetic resources for food and agriculture (PGRFA) and the standards maintained by the Biodiversity Information Standards/Taxonomic Databases Working Group (TDWG). The DwC-germplasm provides an extension to the Darwin Core standard of the TDWG for occurrences. Darwin Core can be seen as an extension to the Dublin Core Metadata Data Initiative (DCMI) terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Biodiversity","Agriculture","Biology","Plant Genetics"],"domains":["Resource metadata","Food"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Norway"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":76,"relation":"undefined"}],"grants":[{"id":6255,"fairsharing_record_id":841,"organisation_id":2092,"relation":"maintains","created_at":"2021-09-30T09:27:54.311Z","updated_at":"2021-09-30T09:27:54.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2092,"name":"Natural History Museum at the University of Oslo, Norway","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"842","type":"fairsharing_records","attributes":{"created_at":"2020-09-20T08:55:45.000Z","updated_at":"2022-07-20T10:08:34.170Z","metadata":{"doi":"10.25504/FAIRsharing.e68dba","name":"Paleoenvironmental Standard Terms Thesaurus","status":"ready","contacts":[{"contact_name":"NCEI Paleoclimatology General Contact","contact_email":"paleo@noaa.gov"}],"homepage":"https://www.ncdc.noaa.gov/data-access/paleoclimatology-data/past-thesaurus","citations":[],"identifier":842,"description":"The Paleoenvironmental Standard Terms (PaST) Thesaurus is a thesaurus of standard terms used for defining measured variables by the World Data Service for Paleoclimatology. These terms describe the quantity measured, the material on which it was measured, reported error, units, analytical or statistical methods, transformations made to raw data, reconstructed seasonality, data type, and data format. Standard terms organize heterogeneous paleoclimate datasets and improve the findability, interoperability, and reusability of data.","abbreviation":"PaST Thesaurus","support_links":[{"url":"https://www.ncei.noaa.gov/pub/data/paleo/PaST-thesaurus/Variable_naming_guide.pdf","name":"Variable Naming Guide (PDF)","type":"Help documentation"},{"url":"https://www1.ncdc.noaa.gov/pub/data/paleo/PaST-thesaurus/PaST-governance.pdf","name":"PaST Governance","type":"Help documentation"}]},"legacy_ids":["bsg-001528","bsg-s001528"],"name":"FAIRsharing record for: Paleoenvironmental Standard Terms Thesaurus","abbreviation":"PaST Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.e68dba","doi":"10.25504/FAIRsharing.e68dba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Paleoenvironmental Standard Terms (PaST) Thesaurus is a thesaurus of standard terms used for defining measured variables by the World Data Service for Paleoclimatology. These terms describe the quantity measured, the material on which it was measured, reported error, units, analytical or statistical methods, transformations made to raw data, reconstructed seasonality, data type, and data format. Standard terms organize heterogeneous paleoclimate datasets and improve the findability, interoperability, and reusability of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Paleoceanography","Paleoclimatology","Paleolimnology"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6256,"fairsharing_record_id":842,"organisation_id":1971,"relation":"maintains","created_at":"2021-09-30T09:27:54.335Z","updated_at":"2021-09-30T09:27:54.335Z","grant_id":null,"is_lead":true,"saved_state":{"id":1971,"name":"National Centers for Environmental Information (NCEI), National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"843","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2021-11-24T13:20:18.757Z","metadata":{"doi":"10.25504/FAIRsharing.wqy605","name":"Ontology Metadata Vocabulary","status":"ready","contacts":[{"contact_name":"Raúl Palma","contact_email":"rpalma@man.poznan.pl"}],"homepage":"http://omv2.sourceforge.net/index.html","identifier":843,"description":"A standard for ontology metadata; a vocabulary of terms and definitions describing ontologies which specifies reusability-enhancing ontology features for human and machine processing purposes.","abbreviation":"OMV","support_links":[{"url":"jgraybeal@stanford.edu","name":"John Graybeal","type":"Support email"},{"url":"phaase@gmail.com","name":"Peter Haase","type":"Support email"}],"year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMV","name":"OMV","portal":"BioPortal"}]},"legacy_ids":["bsg-000729","bsg-s000729"],"name":"FAIRsharing record for: Ontology Metadata Vocabulary","abbreviation":"OMV","url":"https://fairsharing.org/10.25504/FAIRsharing.wqy605","doi":"10.25504/FAIRsharing.wqy605","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A standard for ontology metadata; a vocabulary of terms and definitions describing ontologies which specifies reusability-enhancing ontology features for human and machine processing purposes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["Germany","Poland","Spain"],"publications":[{"id":1952,"pubmed_id":null,"title":"OMV - Ontology Metadata Vocabulary","year":2005,"url":"https://www.researchgate.net/publication/228355305_OMV-ontology_metadata_vocabulary","authors":"Jens Hartmann, York Sure, Peter Haase, Raúl Palma, Mari del Carmen Suárez-Figueroa","journal":"ISWC 2005 - In Ontology Patterns for the Semantic Web","doi":null,"created_at":"2021-09-30T08:25:59.664Z","updated_at":"2021-09-30T11:28:33.628Z"},{"id":1971,"pubmed_id":null,"title":"Ontology Metadata Vocabulary and Applications","year":2005,"url":"https://link.springer.com/chapter/10.1007/11575863_112","authors":"Jens Hartmann, Raúl Palma, York Sure, Mari del Carmen Suárez-Figueroa, Peter Haase, Asunción Gómez-Pérez, Rudi Studer","journal":"International Conference on Ontologies, Databases and Applications of Semantics. In Workshop on Web Semantics (SWWS)","doi":null,"created_at":"2021-09-30T08:26:01.814Z","updated_at":"2021-09-30T11:28:33.860Z"},{"id":1972,"pubmed_id":null,"title":"DEMO - Design Environment for Metadata Ontologies","year":2006,"url":"https://link.springer.com/chapter/10.1007/11762256_32","authors":"Jens Hartmann, Elena Paslaru Bontas, Raúl Palma, Asunción Gómez-Pérez","journal":"The Semantic Web: Research and Applications, 3rd European Semantic Web Conference, ESWC 2006","doi":null,"created_at":"2021-09-30T08:26:01.916Z","updated_at":"2021-09-30T11:28:33.964Z"}],"licence_links":[],"grants":[{"id":6258,"fairsharing_record_id":843,"organisation_id":2351,"relation":"maintains","created_at":"2021-09-30T09:27:54.385Z","updated_at":"2021-09-30T09:27:54.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":2351,"name":"Poznan Supercomputing and Networking Center, Poznan, Poland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6257,"fairsharing_record_id":843,"organisation_id":2968,"relation":"maintains","created_at":"2021-09-30T09:27:54.362Z","updated_at":"2021-09-30T09:27:54.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":2968,"name":"Universidad Politecnica de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6259,"fairsharing_record_id":843,"organisation_id":1624,"relation":"maintains","created_at":"2021-09-30T09:27:54.411Z","updated_at":"2021-09-30T09:27:54.411Z","grant_id":null,"is_lead":false,"saved_state":{"id":1624,"name":"Karlsruhe Institute of Technology","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"844","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.149Z","metadata":{"doi":"10.25504/FAIRsharing.6t5q3m","name":"African Traditional Medicine","status":"ready","contacts":[{"contact_name":"Ghislain Atemezing","contact_email":"ghislain.atemezing@gmail.com","contact_orcid":"0000-0002-9553-8123"}],"homepage":"http://ontohub.org/bioportal/ATMO///symbols?kind=Class","identifier":844,"description":"African Traditional Medicine Ontology (ATMO) describes the actors' function (healer, fetishist or soothsayer); the different types of proposed process treatment, the symptom's roles and the disease consideration.","abbreviation":"ATMO","support_links":[{"url":"https://www.researchgate.net/publication/221611189_An_Ontology_for_African_Traditional_Medicine","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ATMO","name":"ATMO","portal":"BioPortal"}]},"legacy_ids":["bsg-002574","bsg-s002574"],"name":"FAIRsharing record for: African Traditional Medicine","abbreviation":"ATMO","url":"https://fairsharing.org/10.25504/FAIRsharing.6t5q3m","doi":"10.25504/FAIRsharing.6t5q3m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: African Traditional Medicine Ontology (ATMO) describes the actors' function (healer, fetishist or soothsayer); the different types of proposed process treatment, the symptom's roles and the disease consideration.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Traditional Medicine","Biomedical Science"],"domains":["Disease process modeling"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Cameroon","Spain"],"publications":[{"id":1270,"pubmed_id":null,"title":"An Ontology for African Traditional Medicine","year":2009,"url":"http://doi.org/10.1007/978-3-540-85863-8_39","authors":"Atemezing G., Pavón J.","journal":"International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008).","doi":"10.1007/978-3-540-85863-8_39","created_at":"2021-09-30T08:24:41.801Z","updated_at":"2021-09-30T08:24:41.801Z"},{"id":1711,"pubmed_id":null,"title":"Towards a “Deep” Ontology for African Traditional Medicine","year":2011,"url":"http://doi.org/10.4236/iim.2011.36030","authors":"Ayimdji A, Koussoubé S, Fotso LP, Konfé BO","journal":"Intelligent Information Management","doi":"10.4236/iim.2011.36030","created_at":"2021-09-30T08:25:31.721Z","updated_at":"2021-09-30T08:25:31.721Z"}],"licence_links":[],"grants":[{"id":6260,"fairsharing_record_id":844,"organisation_id":835,"relation":"maintains","created_at":"2021-09-30T09:27:54.435Z","updated_at":"2021-09-30T09:27:54.435Z","grant_id":null,"is_lead":false,"saved_state":{"id":835,"name":"El Departamento de Ingenierea de Software e Inteligencia Artificial, Universidad Complitense,Madrid, Spain","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"845","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T11:51:57.000Z","updated_at":"2023-09-29T11:55:00.000Z","metadata":{"doi":"10.25504/FAIRsharing.60a646","name":"Information and documentation -- Thesauri and interoperability with other vocabularies -- Part 1: Thesauri for information retrieval","status":"ready","contacts":[{"contact_name":"Todd Carpenter","contact_email":"tcarpenter@niso.org"}],"homepage":"https://www.iso.org/standard/53657.html","citations":[],"identifier":845,"description":"ISO 25964-1:2011 gives recommendations for the development and maintenance of thesauri intended for information retrieval applications. It is applicable to vocabularies used for retrieving information about all types of information resources, irrespective of the media used (text, sound, still or moving image, physical object or multimedia) including knowledge bases and portals, bibliographic databases, text, museum or multimedia collections, and the items within them. ISO 25964-1:2011 also provides a data model and recommended format for the import and export of thesaurus data. ISO 25964-1:2011 is applicable to monolingual and multilingual thesauri.","abbreviation":"ISO 25964-1:2011","support_links":[{"url":"https://www.iso.org/contents/data/standard/05/36/53657.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2011},"legacy_ids":["bsg-001246","bsg-s001246"],"name":"FAIRsharing record for: Information and documentation -- Thesauri and interoperability with other vocabularies -- Part 1: Thesauri for information retrieval","abbreviation":"ISO 25964-1:2011","url":"https://fairsharing.org/10.25504/FAIRsharing.60a646","doi":"10.25504/FAIRsharing.60a646","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 25964-1:2011 gives recommendations for the development and maintenance of thesauri intended for information retrieval applications. It is applicable to vocabularies used for retrieving information about all types of information resources, irrespective of the media used (text, sound, still or moving image, physical object or multimedia) including knowledge bases and portals, bibliographic databases, text, museum or multimedia collections, and the items within them. ISO 25964-1:2011 also provides a data model and recommended format for the import and export of thesaurus data. ISO 25964-1:2011 is applicable to monolingual and multilingual thesauri.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Data retrieval","Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","thesaurus"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":289,"relation":"undefined"}],"grants":[{"id":10932,"fairsharing_record_id":845,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:22:30.017Z","updated_at":"2023-09-27T14:22:30.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6261,"fairsharing_record_id":845,"organisation_id":1531,"relation":"maintains","created_at":"2021-09-30T09:27:54.461Z","updated_at":"2021-09-30T09:27:54.461Z","grant_id":null,"is_lead":true,"saved_state":{"id":1531,"name":"International Standards Organisation (ISO) ISO/TC 46/SC 9: Identification and description","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"846","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.620Z","metadata":{"doi":"10.25504/FAIRsharing.recas1","name":"Regulation of Gene Expression Ontolology","status":"ready","contacts":[{"contact_name":"Martin Kuiper","contact_email":"kuiper@bio.ntnu.no","contact_orcid":"0000-0002-1171-9876"}],"homepage":"https://bioportal.bioontology.org/ontologies/REXO","identifier":846,"description":"An application ontology for the domain of gene expression regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","abbreviation":"ReXO","support_links":[{"url":"cco@nt.ntnu.no","type":"Support email"},{"url":"vladimir.n.mironov@gmail.com","name":"Vladimir Mironov","type":"Support email"},{"url":"ccofriends@bio.ntnu.no","type":"Mailing list"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/REXO","name":"REXO","portal":"BioPortal"}]},"legacy_ids":["bsg-002831","bsg-s002831"],"name":"FAIRsharing record for: Regulation of Gene Expression Ontolology","abbreviation":"ReXO","url":"https://fairsharing.org/10.25504/FAIRsharing.recas1","doi":"10.25504/FAIRsharing.recas1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of gene expression regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12472}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Regulation of gene expression","Orthologous"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":972,"pubmed_id":25490885,"title":"Finding gene regulatory network candidates using the gene expression knowledge base.","year":2014,"url":"http://doi.org/10.1186/s12859-014-0386-y","authors":"Venkatesan A,Tripathi S,Sanz de Galdeano A,Blonde W,Laegreid A,Mironov V,Kuiper M","journal":"BMC Bioinformatics","doi":"10.1186/s12859-014-0386-y","created_at":"2021-09-30T08:24:07.541Z","updated_at":"2021-09-30T08:24:07.541Z"}],"licence_links":[],"grants":[{"id":6262,"fairsharing_record_id":846,"organisation_id":2544,"relation":"maintains","created_at":"2021-09-30T09:27:54.485Z","updated_at":"2021-09-30T09:27:54.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":2544,"name":"Semantic Systems Biology Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"847","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T17:50:22.000Z","updated_at":"2022-07-20T12:08:17.519Z","metadata":{"doi":"10.25504/FAIRsharing.ed7f20","name":"EDMED Metadata profile format","status":"ready","contacts":[{"contact_name":"General enquiries","contact_email":"enquiries@bodc.ac.uk"}],"homepage":"https://www.bodc.ac.uk/resources/inventories/edmed/","identifier":847,"description":"The EDMED Metadata Profile checklist defines a 2-part checklist of items that should be included in EDMED entries. Part A describes the centre (e.g. laboratory, institute, university department) holding the data set(s) referenced in the entry. Part A is followed by one or more occurrences of Part B, each of which contains the description of a single data set.","abbreviation":null,"year_creation":1999},"legacy_ids":["bsg-001320","bsg-s001320"],"name":"FAIRsharing record for: EDMED Metadata profile format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ed7f20","doi":"10.25504/FAIRsharing.ed7f20","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EDMED Metadata Profile checklist defines a 2-part checklist of items that should be included in EDMED entries. Part A describes the centre (e.g. laboratory, institute, university department) holding the data set(s) referenced in the entry. Part A is followed by one or more occurrences of Part B, each of which contains the description of a single data set.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science","Biology"],"domains":["Marine environment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"British Oceanographic Data Centre (BODC) Copyright Statement","licence_id":87,"licence_url":"https://www.bodc.ac.uk/resources/help_and_hints/using_this_web_site/copyright/","link_id":1503,"relation":"undefined"}],"grants":[{"id":6264,"fairsharing_record_id":847,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:27:54.535Z","updated_at":"2021-09-30T09:27:54.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6263,"fairsharing_record_id":847,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:54.511Z","updated_at":"2021-09-30T09:27:54.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6265,"fairsharing_record_id":847,"organisation_id":2057,"relation":"maintains","created_at":"2021-09-30T09:27:54.562Z","updated_at":"2021-09-30T09:27:54.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":2057,"name":"National Oceanographic Centre (NOC), Liverpool Site, Liverpool, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"862","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:32.885Z","metadata":{"doi":"10.25504/FAIRsharing.gr46wx","name":"Transparent Reporting of Evaluations with Non-randomized Designs","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"trend@cdc.gov"}],"homepage":"https://www.cdc.gov/trendstatement/","identifier":862,"description":"Transparent Reporting of Evaluations with Non-randomized Designs (TREND) is a 22-item checklist specifically developed to guide standardized reporting of non-randomized controlled trials. The TREND statement complements the widely adopted CONsolidated Standards Of Reporting Trials (CONSORT) statement developed for randomized controlled trials. It is intended to be used as a guide when designing evaluation studies, reporting evaluation results, and reviewing manuscripts for scientific publication. Evidence-based public health decisions are based on evaluations of intervention studies with randomized and non-randomized designs. Transparent reporting is crucial for assessing the validity and efficacy of these intervention studies, and, it facilitates synthesis of the findings for evidence-based recommendations. TREND is intended to improve the reporting standards of non-randomized evaluations of behavioral and public health intervention.","abbreviation":"TREND","year_creation":2003},"legacy_ids":["bsg-000066","bsg-s000066"],"name":"FAIRsharing record for: Transparent Reporting of Evaluations with Non-randomized Designs","abbreviation":"TREND","url":"https://fairsharing.org/10.25504/FAIRsharing.gr46wx","doi":"10.25504/FAIRsharing.gr46wx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Transparent Reporting of Evaluations with Non-randomized Designs (TREND) is a 22-item checklist specifically developed to guide standardized reporting of non-randomized controlled trials. The TREND statement complements the widely adopted CONsolidated Standards Of Reporting Trials (CONSORT) statement developed for randomized controlled trials. It is intended to be used as a guide when designing evaluation studies, reporting evaluation results, and reviewing manuscripts for scientific publication. Evidence-based public health decisions are based on evaluations of intervention studies with randomized and non-randomized designs. Transparent reporting is crucial for assessing the validity and efficacy of these intervention studies, and, it facilitates synthesis of the findings for evidence-based recommendations. TREND is intended to improve the reporting standards of non-randomized evaluations of behavioral and public health intervention.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11931},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12397}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Systematic review","Non-randomized controlled trials"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":829,"pubmed_id":14998794,"title":"Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement.","year":2004,"url":"http://doi.org/10.2105/ajph.94.3.361","authors":"Des Jarlais DC,Lyles C,Crepaz N","journal":"Am J Public Health","doi":"10.2105/ajph.94.3.361","created_at":"2021-09-30T08:23:51.429Z","updated_at":"2021-09-30T08:23:51.429Z"},{"id":1671,"pubmed_id":23257774,"title":"Evaluating the impact and use of Transparent Reporting of Evaluations with Non-randomised Designs (TREND) reporting guidelines.","year":2012,"url":"http://doi.org/10.1136/bmjopen-2012-002073","authors":"Fuller T,Pearson M,Peters JL,Anderson R","journal":"BMJ Open","doi":"10.1136/bmjopen-2012-002073","created_at":"2021-09-30T08:25:27.220Z","updated_at":"2021-09-30T08:25:27.220Z"},{"id":1672,"pubmed_id":25211744,"title":"Impact of the transparent reporting of evaluations with nonrandomized designs reporting guideline: ten years on.","year":2014,"url":"http://doi.org/10.2105/AJPH.2014.302195","authors":"Fuller T,Peters J,Pearson M,Anderson R","journal":"Am J Public Health","doi":"10.2105/AJPH.2014.302195","created_at":"2021-09-30T08:25:27.329Z","updated_at":"2021-09-30T08:25:27.329Z"}],"licence_links":[{"licence_name":"CDC Privacy Policy","licence_id":109,"licence_url":"http://www.cdc.gov/Other/privacy.html","link_id":454,"relation":"undefined"}],"grants":[{"id":6309,"fairsharing_record_id":862,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:56.023Z","updated_at":"2021-09-30T09:27:56.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6310,"fairsharing_record_id":862,"organisation_id":442,"relation":"maintains","created_at":"2021-09-30T09:27:56.054Z","updated_at":"2021-09-30T09:27:56.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":442,"name":"Centers for Disease Control and Prevention, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6311,"fairsharing_record_id":862,"organisation_id":2873,"relation":"maintains","created_at":"2021-09-30T09:27:56.085Z","updated_at":"2021-09-30T09:27:56.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":2873,"name":"TREND group","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"863","type":"fairsharing_records","attributes":{"created_at":"2019-09-23T09:02:14.000Z","updated_at":"2022-07-20T13:21:42.811Z","metadata":{"doi":"10.25504/FAIRsharing.ms2BuC","name":"Dutch ColoRectal Audit - Radiotherapy","status":"ready","contacts":[{"contact_name":"DICA Service Desk","contact_email":"fair@mrdm.nl"},{"contact_name":"DICA Information analysis","contact_email":"informatieanalyse@dica.nl","contact_orcid":null}],"homepage":"https://github.com/mrdm-nl/dica-set-dcrar","citations":[],"identifier":863,"description":"The Dutch ColoRectal Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of colorectal carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the DCRA-R data.","abbreviation":"DCRA-R","support_links":[{"url":"http://dica.nl/media/2034/20190425%20DCRA%20ENG%20vertaling.pdf","name":"DCRA Main Features","type":"Help documentation"},{"url":"https://dica.nl/dcra/documenten","name":"DCRA-R Document Homepage","type":"Help documentation"},{"url":"https://dica.nl/dcra/dcra-fair","name":"DCRA-R FAIR information","type":"Other"}],"year_creation":2019},"legacy_ids":["bsg-001390","bsg-s001390"],"name":"FAIRsharing record for: Dutch ColoRectal Audit - Radiotherapy","abbreviation":"DCRA-R","url":"https://fairsharing.org/10.25504/FAIRsharing.ms2BuC","doi":"10.25504/FAIRsharing.ms2BuC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dutch ColoRectal Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of colorectal carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the DCRA-R data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Oncology","Gastroenterology","Biomedical Science","Radiobiology"],"domains":["Cancer","Tumor","Radiotherapy"],"taxonomies":["Homo sapiens"],"user_defined_tags":["colon","colorectal","dose","Dose Volume Histogram","fraction","rectum"],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"DICA License and Terms of Use","licence_id":242,"licence_url":"http://dica.nl/media/2033/20190425%20DCRA%20ENG%20reglement.pdf","link_id":415,"relation":"undefined"}],"grants":[{"id":6312,"fairsharing_record_id":863,"organisation_id":795,"relation":"maintains","created_at":"2021-09-30T09:27:56.124Z","updated_at":"2021-09-30T09:27:56.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":795,"name":"Dutch Institute for Clinical Auditing (DICA)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6313,"fairsharing_record_id":863,"organisation_id":1906,"relation":"maintains","created_at":"2021-09-30T09:27:56.156Z","updated_at":"2021-09-30T09:27:56.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":1906,"name":"MRDM","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6314,"fairsharing_record_id":863,"organisation_id":2111,"relation":"maintains","created_at":"2021-09-30T09:27:56.189Z","updated_at":"2021-09-30T09:27:56.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":2111,"name":"Nederlandse Vereniging voor Radiotherapie en Oncologie (NVRO)","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"864","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.937Z","metadata":{"doi":"10.25504/FAIRsharing.2nrf9f","name":"Wiggle Track Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/wiggle.html","identifier":864,"description":"The wiggle (WIG) format is an older format for display of dense, continuous data such as GC percent, probability scores, and transcriptome data. The bigWig format is the recommended format for almost all graphing track needs. For speed and efficiency, wiggle data is compressed and stored internally in 128 unique bins. This compression means that there is a minor loss of precision when data is exported from a wiggle track (i.e., with output format \"data points\" or \"bed format\" within the Table Browser). The bedGraph format should be used if it is important to retain exact data when exporting.","abbreviation":"WIG","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000271","bsg-s000271"],"name":"FAIRsharing record for: Wiggle Track Format","abbreviation":"WIG","url":"https://fairsharing.org/10.25504/FAIRsharing.2nrf9f","doi":"10.25504/FAIRsharing.2nrf9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The wiggle (WIG) format is an older format for display of dense, continuous data such as GC percent, probability scores, and transcriptome data. The bigWig format is the recommended format for almost all graphing track needs. For speed and efficiency, wiggle data is compressed and stored internally in 128 unique bins. This compression means that there is a minor loss of precision when data is exported from a wiggle track (i.e., with output format \"data points\" or \"bed format\" within the Table Browser). The bedGraph format should be used if it is important to retain exact data when exporting.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12017}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Deoxyribonucleic acid","Genome","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6315,"fairsharing_record_id":864,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:56.212Z","updated_at":"2021-09-30T09:27:56.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"865","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:12.685Z","metadata":{"doi":"10.25504/FAIRsharing.mxz4jy","name":"Minimum Information for Publication of Quantitative Real-Time PCR Experiments","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@rdml.org"}],"homepage":"https://rdml.org/miqe.html","citations":[{"doi":"10.1373/clinchem.2008.112797","pubmed_id":19246619,"publication_id":1691}],"identifier":865,"description":"The aim of MIQE is to provide authors, reviewers and editors with specifications for the minimum information that must be reported for a qPCR experiment in order to ensure its relevance, accuracy, correct interpretation and repeatability.","abbreviation":"MIQE","support_links":[{"url":"https://github.com/RDML-consortium","name":"GitHub Project","type":"Github"}],"year_creation":2008,"associated_tools":[{"url":"https://sourceforge.net/projects/qpcr-ninja/","name":"RDML Ninja"}]},"legacy_ids":["bsg-000185","bsg-s000185"],"name":"FAIRsharing record for: Minimum Information for Publication of Quantitative Real-Time PCR Experiments","abbreviation":"MIQE","url":"https://fairsharing.org/10.25504/FAIRsharing.mxz4jy","doi":"10.25504/FAIRsharing.mxz4jy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of MIQE is to provide authors, reviewers and editors with specifications for the minimum information that must be reported for a qPCR experiment in order to ensure its relevance, accuracy, correct interpretation and repeatability.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11160},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11591},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11997}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biology"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Real time polymerase chain reaction","Gene expression","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Czech Republic","Germany","Sweden","United Kingdom","United States"],"publications":[{"id":1691,"pubmed_id":19246619,"title":"The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.","year":2009,"url":"http://doi.org/10.1373/clinchem.2008.112797","authors":"Bustin SA,Benes V,Garson JA,Hellemans J,Huggett J,Kubista M,Mueller R,Nolan T,Pfaffl MW,Shipley GL,Vandesompele J,Wittwer CT","journal":"Clin Chem","doi":"10.1373/clinchem.2008.112797","created_at":"2021-09-30T08:25:29.503Z","updated_at":"2021-09-30T08:25:29.503Z"},{"id":2150,"pubmed_id":20858237,"title":"MIQE precis: Practical implementation of minimum standard guidelines for fluorescence-based quantitative real-time PCR experiments.","year":2010,"url":"http://doi.org/10.1186/1471-2199-11-74","authors":"Bustin SA,Beaulieu JF,Huggett J,Jaggi R,Kibenge FS,Olsvik PA,Penning LC,Toegel S","journal":"BMC Mol Biol","doi":"10.1186/1471-2199-11-74","created_at":"2021-09-30T08:26:22.275Z","updated_at":"2021-09-30T08:26:22.275Z"}],"licence_links":[],"grants":[{"id":6316,"fairsharing_record_id":865,"organisation_id":632,"relation":"funds","created_at":"2021-09-30T09:27:56.238Z","updated_at":"2021-09-30T09:29:43.965Z","grant_id":377,"is_lead":false,"saved_state":{"id":632,"name":"Czech Academy of Science (CAS), Prague, Czech Republic","grant":"IAA500520809","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8067,"fairsharing_record_id":865,"organisation_id":632,"relation":"funds","created_at":"2021-09-30T09:30:44.961Z","updated_at":"2021-09-30T09:30:45.011Z","grant_id":851,"is_lead":false,"saved_state":{"id":632,"name":"Czech Academy of Science (CAS), Prague, Czech Republic","grant":"AV0250520701","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11583,"fairsharing_record_id":865,"organisation_id":2407,"relation":"maintains","created_at":"2024-03-21T13:59:12.510Z","updated_at":"2024-03-21T13:59:12.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":2407,"name":"RDML consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"866","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T14:02:57.000Z","updated_at":"2022-07-20T11:58:12.739Z","metadata":{"doi":"10.25504/FAIRsharing.dce535","name":"CSDMS Standard Names","status":"ready","contacts":[{"contact_name":"Scott Peckham","contact_email":"scott.peckham@colorado.edu"}],"homepage":"https://csdms.colorado.edu/wiki/CSDMS_Standard_Names","identifier":866,"description":"Community Surface Dynamics Modeling System (CSDMS) Standard Names (CSN) provide a comprehensive set of naming rules and patterns that are not specific to any particular modeling domain.They are an early form of research into the identification and categorization of scientific variables. CSDMS Standard Names were designed for parsability and natural alphabetical grouping. CSDMS Standard Names always consist of an object part and a quantity/attribute part and the quantity part may also have an operation prefix which can consist of multiple operations. The ideas and concepts first expressed with CSDMS Standard Names have been further developed in the Scientific Variables Ontology (SVO).","abbreviation":"CSN","support_links":[{"url":"CSDMS@colorado.edu","name":"General Contact","type":"Support email"},{"url":"https://csdms.colorado.edu/wiki/CSN_Motivation","name":"About CSN","type":"Help documentation"},{"url":"https://csdms.colorado.edu/wiki/CSN_Basic_Rules","name":"Curation Rules","type":"Help documentation"}],"year_creation":2014,"associated_tools":[{"url":"https://csdms.colorado.edu/wiki/Workbench","name":"CSDMS Workbench"}]},"legacy_ids":["bsg-001562","bsg-s001562"],"name":"FAIRsharing record for: CSDMS Standard Names","abbreviation":"CSN","url":"https://fairsharing.org/10.25504/FAIRsharing.dce535","doi":"10.25504/FAIRsharing.dce535","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Community Surface Dynamics Modeling System (CSDMS) Standard Names (CSN) provide a comprehensive set of naming rules and patterns that are not specific to any particular modeling domain.They are an early form of research into the identification and categorization of scientific variables. CSDMS Standard Names were designed for parsability and natural alphabetical grouping. CSDMS Standard Names always consist of an object part and a quantity/attribute part and the quantity part may also have an operation prefix which can consist of multiple operations. The ideas and concepts first expressed with CSDMS Standard Names have been further developed in the Scientific Variables Ontology (SVO).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Experimental measurement","Assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3110,"pubmed_id":null,"title":"The CSDMS Standard Names:Cross-Domain Naming Conventions forDescribing Process Models, Data Sets andTheir Associated Variables","year":2014,"url":"https://csdms.colorado.edu/mediawiki/images/Peckham_2014_iEMSs.pdf","authors":"S.D. Peckham (Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.))","journal":"Proceedings of the 7th International Congress on Environmental Modelling and Software, San Diego, California, USA","doi":null,"created_at":"2021-09-30T08:28:23.167Z","updated_at":"2021-09-30T08:28:23.167Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License 1.2","licence_id":354,"licence_url":"https://www.gnu.org/licenses/old-licenses/fdl-1.2.en.html","link_id":1180,"relation":"undefined"}],"grants":[{"id":6318,"fairsharing_record_id":866,"organisation_id":570,"relation":"maintains","created_at":"2021-09-30T09:27:56.310Z","updated_at":"2021-09-30T09:27:56.310Z","grant_id":null,"is_lead":true,"saved_state":{"id":570,"name":"Community Surface Dynamics Modeling System (CSDMS), University of Colorado, Boulder, CO, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"848","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.702Z","metadata":{"doi":"10.25504/FAIRsharing.9y4cqw","name":"Protein Data Bank Format","status":"ready","contacts":[{"contact_name":"Info","contact_email":"info@wwpdb.org"}],"homepage":"http://www.wwpdb.org/documentation/format33/v3.3.html","identifier":848,"description":"An exchange format for reporting experimentally determined three-dimensional structures of biological macromolecules that serves a global community of researchers, educators, and students. The data contained in the archive include atomic coordinates, bibliographic citations, primary and secondary structure, information, and crystallographic structure factors and NMR experimental data.","abbreviation":"PDB","support_links":[{"url":"ftp://ftp.wwpdb.org/pub/pdb/doc/format_descriptions/Format_v32_letter.pdf","type":"Help documentation"},{"url":"http://www.wwpdb.org/documentation/annotation","type":"Help documentation"}],"year_creation":1996},"legacy_ids":["bsg-000255","bsg-s000255"],"name":"FAIRsharing record for: Protein Data Bank Format","abbreviation":"PDB","url":"https://fairsharing.org/10.25504/FAIRsharing.9y4cqw","doi":"10.25504/FAIRsharing.9y4cqw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An exchange format for reporting experimentally determined three-dimensional structures of biological macromolecules that serves a global community of researchers, educators, and students. The data contained in the archive include atomic coordinates, bibliographic citations, primary and secondary structure, information, and crystallographic structure factors and NMR experimental data.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18239},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11994}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Atomic coordinate","Nuclear Magnetic Resonance (NMR) spectroscopy","X-ray crystallography assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":258,"pubmed_id":14634627,"title":"Announcing the worldwide Protein Data Bank.","year":2003,"url":"http://doi.org/10.1038/nsb1203-980","authors":"Berman H., Henrick K., Nakamura H.,","journal":"Nat. Struct. Biol.","doi":"10.1038/nsb1203-980","created_at":"2021-09-30T08:22:47.891Z","updated_at":"2021-09-30T08:22:47.891Z"}],"licence_links":[],"grants":[{"id":6266,"fairsharing_record_id":848,"organisation_id":3263,"relation":"maintains","created_at":"2021-09-30T09:27:54.585Z","updated_at":"2021-09-30T09:27:54.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"849","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T10:29:36.939Z","metadata":{"doi":"10.25504/FAIRsharing.k893xa","name":"MHC Restriction Ontology","status":"ready","contacts":[{"contact_name":"Bjoern Peters","contact_email":"bpeters@liai.org"}],"homepage":"https://github.com/IEDB/MRO","citations":[{"doi":"10.1186/s13326-016-0045-5","pubmed_id":26759709,"publication_id":668}],"identifier":849,"description":"MHC molecules form a highly diverse family of proteins that play a key role in cellular immune recognition. No consistent nomenclature exists across different vertebrate species. To correctly represent MHC related data in The Immune Epitope Database (IEDB), we built upon a previously established MHC ontology (MaHCO) and created MRO to represent MHC molecules as they relate to immunological experiments. MRO models MHC protein chains from 16 species, deals with different approaches used to identify MHC, such as direct sequencing verses serotyping, relates engineered MHC molecules to naturally occurring ones, connects genetic loci, alleles, protein chains and multichain proteins, and establishes evidence codes for MHC restriction.","abbreviation":"MRO","support_links":[{"url":"https://github.com/IEDB/MRO/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"http://www.obofoundry.org/ontology/mro.html","name":"mro","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000774","bsg-s000774"],"name":"FAIRsharing record for: MHC Restriction Ontology","abbreviation":"MRO","url":"https://fairsharing.org/10.25504/FAIRsharing.k893xa","doi":"10.25504/FAIRsharing.k893xa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MHC molecules form a highly diverse family of proteins that play a key role in cellular immune recognition. No consistent nomenclature exists across different vertebrate species. To correctly represent MHC related data in The Immune Epitope Database (IEDB), we built upon a previously established MHC ontology (MaHCO) and created MRO to represent MHC molecules as they relate to immunological experiments. MRO models MHC protein chains from 16 species, deals with different approaches used to identify MHC, such as direct sequencing verses serotyping, relates engineered MHC molecules to naturally occurring ones, connects genetic loci, alleles, protein chains and multichain proteins, and establishes evidence codes for MHC restriction.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunology"],"domains":["Major histocompatibility complex","Immune system"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":668,"pubmed_id":26759709,"title":"An ontology for major histocompatibility restriction.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0045-5","authors":"Vita R,Overton JA,Seymour E,Sidney J,Kaufman J,Tallmadge RL,Ellis S,Hammond J,Butcher GW,Sette A,Peters B","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0045-5","created_at":"2021-09-30T08:23:33.727Z","updated_at":"2021-09-30T08:23:33.727Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":670,"relation":"undefined"}],"grants":[{"id":6270,"fairsharing_record_id":849,"organisation_id":1681,"relation":"maintains","created_at":"2021-09-30T09:27:54.700Z","updated_at":"2021-09-30T09:27:54.700Z","grant_id":null,"is_lead":true,"saved_state":{"id":1681,"name":"La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6268,"fairsharing_record_id":849,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:27:54.645Z","updated_at":"2021-09-30T09:27:54.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6269,"fairsharing_record_id":849,"organisation_id":614,"relation":"maintains","created_at":"2021-09-30T09:27:54.669Z","updated_at":"2021-09-30T09:27:54.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":614,"name":"Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6271,"fairsharing_record_id":849,"organisation_id":2819,"relation":"maintains","created_at":"2021-09-30T09:27:54.738Z","updated_at":"2021-09-30T09:27:54.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":2819,"name":"The Pirbright Institute, Woking, UK","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":9138,"fairsharing_record_id":849,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.006Z","updated_at":"2022-04-11T12:07:17.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"850","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T12:04:48.000Z","updated_at":"2022-07-20T12:28:12.169Z","metadata":{"doi":"10.25504/FAIRsharing.f494ee","name":"Internationalization Tag Set","status":"ready","contacts":[{"contact_name":"Felix Sasaki","contact_email":"felix@sasakiatcf.com"}],"homepage":"http://www.w3.org/TR/2007/REC-its-20070403/","identifier":850,"description":"ITS is designed to be used with schemas to support the internationalization and localization of schemas and documents. An implementation is provided for three schema languages: XML DTD, XML Schema and RELAX NG.","abbreviation":"ITS","support_links":[{"url":"https://www.w3.org/International/its/itstagset/its-errata.html","name":"Errata","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001247","bsg-s001247"],"name":"FAIRsharing record for: Internationalization Tag Set","abbreviation":"ITS","url":"https://fairsharing.org/10.25504/FAIRsharing.f494ee","doi":"10.25504/FAIRsharing.f494ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ITS is designed to be used with schemas to support the internationalization and localization of schemas and documents. An implementation is provided for three schema languages: XML DTD, XML Schema and RELAX NG.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":432,"relation":"undefined"}],"grants":[{"id":6272,"fairsharing_record_id":850,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:54.771Z","updated_at":"2021-09-30T09:27:54.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"851","type":"fairsharing_records","attributes":{"created_at":"2017-08-16T14:48:05.000Z","updated_at":"2022-11-30T07:48:31.043Z","metadata":{"doi":"10.25504/FAIRsharing.znmpch","name":"Project Tycho 2.0 pre-compiled dataset format","status":"ready","contacts":[{"contact_name":"Wilbert van Panhuis","contact_email":"wilbert.van.panhuis@pitt.edu","contact_orcid":"0000-0002-7278-9982"}],"homepage":"https://www.tycho.pitt.edu/dataformat/ProjectTychoPreCompiledDataFormat.pdf","citations":[],"identifier":851,"description":"The Project Tycho pre-compiled Data Format specifies the variables used and file format of pre-compiled datasets released by Project Tycho version 2.0. Project Tycho 2.0 pre-compiled datasets include counts of cases for conditions (i.e. disorders) in populations reported by health agencies. These counts can be specified for different geographical regions, for different time intervals, for various age ranges and/or subpopulations, and can represent fatalities (deaths) or not. Each datafile includes these, and other, attributes of counts.","abbreviation":null,"support_links":[{"url":"https://www.tycho.pitt.edu/#contact","name":"Project Tycho Contact Form","type":"Contact form"}],"year_creation":2018},"legacy_ids":["bsg-000718","bsg-s000718"],"name":"FAIRsharing record for: Project Tycho 2.0 pre-compiled dataset format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.znmpch","doi":"10.25504/FAIRsharing.znmpch","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Project Tycho pre-compiled Data Format specifies the variables used and file format of pre-compiled datasets released by Project Tycho version 2.0. Project Tycho 2.0 pre-compiled datasets include counts of cases for conditions (i.e. disorders) in populations reported by health agencies. These counts can be specified for different geographical regions, for different time intervals, for various age ranges and/or subpopulations, and can represent fatalities (deaths) or not. Each datafile includes these, and other, attributes of counts.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12444}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Bacteria","Eukaryota","Homo sapiens","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":439,"relation":"undefined"},{"licence_name":"Project Tycho CC BY 4.0 License Document","licence_id":684,"licence_url":"https://www.tycho.pitt.edu/license/","link_id":438,"relation":"undefined"}],"grants":[{"id":6274,"fairsharing_record_id":851,"organisation_id":708,"relation":"maintains","created_at":"2021-09-30T09:27:54.828Z","updated_at":"2021-09-30T09:27:54.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":708,"name":"Department of Epidemiology, University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6275,"fairsharing_record_id":851,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:54.861Z","updated_at":"2021-09-30T09:28:56.168Z","grant_id":22,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"5U54GM088491-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6273,"fairsharing_record_id":851,"organisation_id":2382,"relation":"maintains","created_at":"2021-09-30T09:27:54.804Z","updated_at":"2021-09-30T09:27:54.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":2382,"name":"Public Health Dynamics Laboratory, University of Pittsburgh, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6276,"fairsharing_record_id":851,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:27:54.885Z","updated_at":"2021-09-30T09:27:54.885Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6279,"fairsharing_record_id":851,"organisation_id":2370,"relation":"maintains","created_at":"2021-09-30T09:27:54.961Z","updated_at":"2021-09-30T09:27:54.961Z","grant_id":null,"is_lead":false,"saved_state":{"id":2370,"name":"Project Tycho","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6280,"fairsharing_record_id":851,"organisation_id":3115,"relation":"maintains","created_at":"2021-09-30T09:27:54.986Z","updated_at":"2021-09-30T09:27:54.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6277,"fairsharing_record_id":851,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:27:54.912Z","updated_at":"2021-09-30T09:30:41.007Z","grant_id":820,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"49276","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6278,"fairsharing_record_id":851,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:27:54.936Z","updated_at":"2021-09-30T09:32:41.273Z","grant_id":1733,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"5K01ES026836-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ3dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--382d74087fd341748b0f971eac000b6e9e8bced4/tycho.png?disposition=inline","exhaustive_licences":false}},{"id":"827","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:11:42.203Z","metadata":{"doi":"10.25504/FAIRsharing.xvf5y3","name":"Darwin Core","status":"ready","contacts":[{"contact_name":"John Wieczorek","contact_email":"tuco@berkeley.edu"}],"homepage":"http://www.tdwg.org/standards/450","citations":[{"doi":"10.1371/journal.pone.0029715","pubmed_id":22238640,"publication_id":1522}],"identifier":827,"description":"Darwin Core (DwC) is a vocabulary that includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by providing identifiers, labels, and definitions. The Darwin Core is primarily based on the observation, specimen and samples of taxa. The Darwin Core standard is comprised of one vocabulary (the Darwin Core vocabulary), and six associated documents. The vocabulary itself is composed of four term lists: Darwin Core terms borrowed from the Dublin Core legacy and terms namespace, Darwin Core IRI-value Term Analogs, and the core terms defined by Darwin Core.","abbreviation":"DwC","support_links":[{"url":"https://github.com/tdwg/dwc-qa","name":"Questions and Answers","type":"Github"},{"url":"https://github.com/tdwg/dwc/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://dwc.tdwg.org/terms/","name":"Quick Reference Guide","type":"Help documentation"},{"url":"https://github.com/tdwg/dwc","name":"GitHub Repository","type":"Github"}],"year_creation":2009},"legacy_ids":["bsg-000195","bsg-s000195"],"name":"FAIRsharing record for: Darwin Core","abbreviation":"DwC","url":"https://fairsharing.org/10.25504/FAIRsharing.xvf5y3","doi":"10.25504/FAIRsharing.xvf5y3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Darwin Core (DwC) is a vocabulary that includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by providing identifiers, labels, and definitions. The Darwin Core is primarily based on the observation, specimen and samples of taxa. The Darwin Core standard is comprised of one vocabulary (the Darwin Core vocabulary), and six associated documents. The vocabulary itself is composed of four term lists: Darwin Core terms borrowed from the Dublin Core legacy and terms namespace, Darwin Core IRI-value Term Analogs, and the core terms defined by Darwin Core.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11865},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12278},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13905}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Biological sample annotation","Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1522,"pubmed_id":22238640,"title":"Darwin Core: an evolving community-developed biodiversity data standard.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0029715","authors":"Wieczorek J,Bloom D,Guralnick R,Blum S,Doring M,Giovanni R,Robertson T,Vieglais D","journal":"PLoS One","doi":"10.1371/journal.pone.0029715","created_at":"2021-09-30T08:25:10.418Z","updated_at":"2021-09-30T08:25:10.418Z"},{"id":1995,"pubmed_id":24723785,"title":"Linking multiple biodiversity informatics platforms with Darwin Core Archives.","year":2014,"url":"http://doi.org/10.3897/BDJ.2.e1039","authors":"Baker E,Rycroft S,Smith VS","journal":"Biodivers Data J","doi":"10.3897/BDJ.2.e1039","created_at":"2021-09-30T08:26:04.575Z","updated_at":"2021-09-30T08:26:04.575Z"},{"id":3080,"pubmed_id":25099149,"title":"The GBIF integrated publishing toolkit: facilitating the efficient publishing of biodiversity data on the internet.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0102623","authors":"Robertson T,Doring M,Guralnick R,Bloom D,Wieczorek J,Braak K,Otegui J,Russell L,Desmet P","journal":"PLoS One","doi":"10.1371/journal.pone.0102623","created_at":"2021-09-30T08:28:19.468Z","updated_at":"2021-09-30T08:28:19.468Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":1041,"relation":"undefined"}],"grants":[{"id":7995,"fairsharing_record_id":827,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:18.001Z","updated_at":"2021-09-30T09:30:18.051Z","grant_id":644,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF-9808739","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8076,"fairsharing_record_id":827,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:48.171Z","updated_at":"2021-09-30T09:30:48.222Z","grant_id":878,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0345448","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6226,"fairsharing_record_id":827,"organisation_id":641,"relation":"maintains","created_at":"2021-09-30T09:27:53.277Z","updated_at":"2021-09-30T09:27:53.277Z","grant_id":null,"is_lead":true,"saved_state":{"id":641,"name":"Darwin Core Maintenance Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6224,"fairsharing_record_id":827,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:53.219Z","updated_at":"2021-09-30T09:30:14.921Z","grant_id":620,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0108161","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"828","type":"fairsharing_records","attributes":{"created_at":"2016-09-13T08:23:19.000Z","updated_at":"2022-12-27T17:27:36.576Z","metadata":{"doi":"10.25504/FAIRsharing.ae5rv","name":"Semantic reference model for making rare disease resources linkable","status":"in_development","contacts":[{"contact_name":"Marco Roos","contact_email":"m.roos@lumc.nl","contact_orcid":"0000-0002-8691-772X"}],"homepage":"https://github.com/LUMC-BioSemantics/Rare-Disease-Semantic-Model","citations":[],"identifier":828,"description":"A subset of ontology classes and properties for connecting rare disease data in the context of creating FAIR rare disease data 'at the source'. The aim is to facilitate data annotation at the source in order to enable questions and analysis across rare disease resources (e.g. biobanks, registries, molecular data). I.e. the model is not meant as a new conceptualization. Ontology files: 1. rdc-core: the minimal set of classes and properties to map to the data in the sources of the platform. RD core represents little more that the lowest level types for the identifiers of the sources of the Rare Disease Connect platform. 2. rdc-meta: the minimal semantic model, defined as much as possible using existing ontologies (OBIB, etc.). 3. rdc-meta-extended: this model includes the subclasses and properties of the entities that were imported from source ontologies, i.e. when you use the ‘move’ function of protege, rather than just copy the URI. 4. rdc-thesaurus: mappings to ‘concepts’. A SKOS-based thesaurus represents a ‘light-weight’ ontology. This allows us to define in simple terms the relations between similar or equal terms in different terminologies. 5. rdc-mapping: mapping between models, for instance between the SKOS concepts and RD-core and RD-meta. 6. rdc-example-instances: example instances (‘individuals’) to show the model at instance level. The instances, especially the IDs relate to actual data in data sources. Their datatype properties link to data.","abbreviation":null,"support_links":[{"url":"rare-disease-community@elixir-europe.org","type":"Mailing list"}],"year_creation":2016,"associated_tools":[]},"legacy_ids":["bsg-000676","bsg-s000676"],"name":"FAIRsharing record for: Semantic reference model for making rare disease resources linkable","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ae5rv","doi":"10.25504/FAIRsharing.ae5rv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A subset of ontology classes and properties for connecting rare disease data in the context of creating FAIR rare disease data 'at the source'. The aim is to facilitate data annotation at the source in order to enable questions and analysis across rare disease resources (e.g. biobanks, registries, molecular data). I.e. the model is not meant as a new conceptualization. Ontology files: 1. rdc-core: the minimal set of classes and properties to map to the data in the sources of the platform. RD core represents little more that the lowest level types for the identifiers of the sources of the Rare Disease Connect platform. 2. rdc-meta: the minimal semantic model, defined as much as possible using existing ontologies (OBIB, etc.). 3. rdc-meta-extended: this model includes the subclasses and properties of the entities that were imported from source ontologies, i.e. when you use the ‘move’ function of protege, rather than just copy the URI. 4. rdc-thesaurus: mappings to ‘concepts’. A SKOS-based thesaurus represents a ‘light-weight’ ontology. This allows us to define in simple terms the relations between similar or equal terms in different terminologies. 5. rdc-mapping: mapping between models, for instance between the SKOS concepts and RD-core and RD-meta. 6. rdc-example-instances: example instances (‘individuals’) to show the model at instance level. The instances, especially the IDs relate to actual data in data sources. Their datatype properties link to data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Rare disease","Disease","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":6228,"fairsharing_record_id":828,"organisation_id":799,"relation":"undefined","created_at":"2021-09-30T09:27:53.358Z","updated_at":"2021-09-30T09:27:53.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"undefined"}},{"id":6231,"fairsharing_record_id":828,"organisation_id":1705,"relation":"undefined","created_at":"2021-09-30T09:27:53.525Z","updated_at":"2021-09-30T09:27:53.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":6229,"fairsharing_record_id":828,"organisation_id":2406,"relation":"undefined","created_at":"2021-09-30T09:27:53.396Z","updated_at":"2021-09-30T09:27:53.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2406,"name":"RD-Connect","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":6230,"fairsharing_record_id":828,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:27:53.484Z","updated_at":"2021-09-30T09:27:53.484Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6227,"fairsharing_record_id":828,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:53.314Z","updated_at":"2021-09-30T09:29:30.489Z","grant_id":276,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8013,"fairsharing_record_id":828,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:30:23.403Z","updated_at":"2021-09-30T09:30:23.447Z","grant_id":690,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP7-HEALTH 305444","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"829","type":"fairsharing_records","attributes":{"created_at":"2018-10-19T22:07:18.000Z","updated_at":"2022-02-08T10:50:51.072Z","metadata":{"doi":"10.25504/FAIRsharing.22bb25","name":"Generic Statistical Information Model Specification","status":"ready","contacts":[],"homepage":"https://statswiki.unece.org/display/gsim/GSIM+Specification","citations":[],"identifier":829,"description":"The GSIM Specification provides a set of standardized, consistently described information objects, which are the inputs and outputs in the design and production of statistics. Each information object is been defined and its attributes and relationships are specified.","abbreviation":"GSIM Specification","support_links":[{"url":"https://statswiki.unece.org/display/gsim/GSIM+documentation","name":"Documentation","type":"Help documentation"}]},"legacy_ids":["bsg-001330","bsg-s001330"],"name":"FAIRsharing record for: Generic Statistical Information Model Specification","abbreviation":"GSIM Specification","url":"https://fairsharing.org/10.25504/FAIRsharing.22bb25","doi":"10.25504/FAIRsharing.22bb25","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GSIM Specification provides a set of standardized, consistently described information objects, which are the inputs and outputs in the design and production of statistics. Each information object is been defined and its attributes and relationships are specified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Statistics"],"domains":["Resource metadata","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Statistics on classification schemes"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Atlassian Confluence Community License","licence_id":49,"licence_url":"https://www.atlassian.com/software/views/community-license-request","link_id":1118,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1117,"relation":"undefined"}],"grants":[{"id":6232,"fairsharing_record_id":829,"organisation_id":2924,"relation":"maintains","created_at":"2021-09-30T09:27:53.567Z","updated_at":"2021-09-30T09:27:53.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2924,"name":"United Nations Economic Commissions Europe","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"830","type":"fairsharing_records","attributes":{"created_at":"2019-10-11T14:31:51.000Z","updated_at":"2023-11-03T08:50:21.703Z","metadata":{"doi":"10.25504/FAIRsharing.8hDgMC","name":"ECRIN Clinical Research Metadata Schema","status":"ready","contacts":[{"contact_name":"Christian Ohmann","contact_email":"christian.ohmann@med.uni-duesseldorf.de","contact_orcid":"0000-0002-5919-1003"},{"contact_name":"Steve Canham","contact_email":"stevecanham@outlook.com","contact_orcid":null}],"homepage":"https://doi.org/10.5281/zenodo.8368709","citations":[],"identifier":830,"description":"The schema is designed to support the discoverability of data objects generated by clinical research and is an extension of the DataCite schema. It also summarises a relational database structure that could be used to store the metadata within a central repository of such data.","abbreviation":"ECRIN MDR schema","support_links":[{"url":"https://ecrin.org","name":"ECRIN","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001393","bsg-s001393"],"name":"FAIRsharing record for: ECRIN Clinical Research Metadata Schema","abbreviation":"ECRIN MDR schema","url":"https://fairsharing.org/10.25504/FAIRsharing.8hDgMC","doi":"10.25504/FAIRsharing.8hDgMC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The schema is designed to support the discoverability of data objects generated by clinical research and is an extension of the DataCite schema. It also summarises a relational database structure that could be used to store the metadata within a central repository of such data.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17332},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18281},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12550},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13322},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13572}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Clinical Studies","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","Germany","United Kingdom"],"publications":[{"id":3178,"pubmed_id":null,"title":"A metadata schema for data objects in clinical research","year":2016,"url":"http://dx.doi.org/10.1186/s13063-016-1686-5","authors":"Canham, Steve; Ohmann, Christian; ","journal":"Trials","doi":"10.1186/s13063-016-1686-5","created_at":"2022-01-06T16:30:03.053Z","updated_at":"2022-01-06T16:30:03.053Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":933,"relation":"undefined"}],"grants":[{"id":9057,"fairsharing_record_id":830,"organisation_id":911,"relation":"maintains","created_at":"2022-03-29T09:49:52.096Z","updated_at":"2022-03-29T09:49:52.096Z","grant_id":null,"is_lead":true,"saved_state":{"id":911,"name":"European Clinical Research Infrastructure Network (ECRIN)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"867","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2024-01-12T13:08:23.852Z","metadata":{"doi":"10.25504/FAIRsharing.9c1p18","name":"Dictyostelium Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Petra Fey","contact_email":"pfey@northwestern.edu","contact_orcid":"0000-0002-4532-2703"}],"homepage":"https://github.com/dictyBase/migration-data/blob/master/ontologies/dicty_phenotypes.obo","citations":[],"identifier":867,"description":"A structured controlled vocabulary of phenotypes of the social amoeba Dictyostelium discoideum. The Dicty Phenotype Ontology is a hierarchical controlled vocabulary used for annotating strains with phenotypes. Terms from the Dicty Phenotype Ontology are required when annotating phenotypes within dictyBase. The phenotype ontology consists of two composite terms: (1) the anatomical part or the biological process changed in the mutant, and (2) a quality describing that modification. For example, a ‘delayed aggregation’ phenotype qualifies the ‘aggregation’ (biological process) as being ‘delayed’, or the ‘decreased spore size’ qualifies the ‘spore’ to be of ‘decreased size’.","abbreviation":"DDPHENO","support_links":[{"url":"http://dictybase.org/db/cgi-bin/dictyBase/suggestion","name":"Suggestion and Contact Form","type":"Contact form"},{"url":"dictybase@northwestern.edu","name":"dictyBase Helpdesk","type":"Support email"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDPHENO","name":"DDPHENO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ddpheno.html","name":"ddpheno","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000936","bsg-s000936"],"name":"FAIRsharing record for: Dictyostelium Phenotype Ontology","abbreviation":"DDPHENO","url":"https://fairsharing.org/10.25504/FAIRsharing.9c1p18","doi":"10.25504/FAIRsharing.9c1p18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of phenotypes of the social amoeba Dictyostelium discoideum. The Dicty Phenotype Ontology is a hierarchical controlled vocabulary used for annotating strains with phenotypes. Terms from the Dicty Phenotype Ontology are required when annotating phenotypes within dictyBase. The phenotype ontology consists of two composite terms: (1) the anatomical part or the biological process changed in the mutant, and (2) a quality describing that modification. For example, a ‘delayed aggregation’ phenotype qualifies the ‘aggregation’ (biological process) as being ‘delayed’, or the ‘decreased spore size’ qualifies the ‘spore’ to be of ‘decreased size’.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["Dictyostelium discoideum","Dictyostelium fasciculatum","Dictyostelium purpureum","Polysphondylium pallidum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2107,"pubmed_id":23494302,"title":"One stop shop for everything Dictyostelium: dictyBase and the Dicty Stock Center in 2012.","year":2013,"url":"http://doi.org/10.1007/978-1-62703-302-2_4","authors":"Fey P,Dodson RJ,Basu S,Chisholm RL","journal":"Methods Mol Biol","doi":"10.1007/978-1-62703-302-2_4","created_at":"2021-09-30T08:26:17.466Z","updated_at":"2021-09-30T08:26:17.466Z"}],"licence_links":[],"grants":[{"id":6320,"fairsharing_record_id":867,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:27:56.436Z","updated_at":"2021-09-30T09:27:56.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6319,"fairsharing_record_id":867,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:56.348Z","updated_at":"2021-09-30T09:29:46.093Z","grant_id":393,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM64426","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"868","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:01.382Z","metadata":{"doi":"10.25504/FAIRsharing.8xecy7","name":"FuGEFlow","status":"uncertain","contacts":[{"contact_name":"Ryan R Brinkman","contact_email":"rbrinkman@bccrc.ca"}],"homepage":"http://flowcyt.sourceforge.net/fugeflow/","identifier":868,"description":"FuGEFlow represents a collaborative effort to develop of flow cytometry experimental workflow description based on the FuGE model. The Functional Genomics Experiment data model (FuGE) describes common aspects of comprehensive, high-throughput experiments. FuGE is an extendable model that provides a basis for creation of new technology-specific data formats, such as FuGEFlow for flow cytometry.","abbreviation":"FuGEFlow","support_links":[{"url":"https://sourceforge.net/p/flowcyt/discussion/","type":"Forum"},{"url":"https://sourceforge.net/p/flowcyt/mailman/","name":"Mailing list","type":"Mailing list"}],"year_creation":2007},"legacy_ids":["bsg-000074","bsg-s000074"],"name":"FAIRsharing record for: FuGEFlow","abbreviation":"FuGEFlow","url":"https://fairsharing.org/10.25504/FAIRsharing.8xecy7","doi":"10.25504/FAIRsharing.8xecy7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FuGEFlow represents a collaborative effort to develop of flow cytometry experimental workflow description based on the FuGE model. The Functional Genomics Experiment data model (FuGE) describes common aspects of comprehensive, high-throughput experiments. FuGE is an extendable model that provides a basis for creation of new technology-specific data formats, such as FuGEFlow for flow cytometry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Cell","Assay","Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":996,"pubmed_id":19531228,"title":"FuGEFlow: data model and markup language for flow cytometry.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-184","authors":"Qian Y,Tchuvatkina O,Spidlen J,Wilkinson P,Gasparetto M,Jones AR,Manion FJ,Scheuermann RH,Sekaly RP,Brinkman RR","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-184","created_at":"2021-09-30T08:24:10.246Z","updated_at":"2021-09-30T08:24:10.246Z"}],"licence_links":[],"grants":[{"id":6323,"fairsharing_record_id":868,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:56.557Z","updated_at":"2021-09-30T09:30:16.593Z","grant_id":632,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"EB005034","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6322,"fairsharing_record_id":868,"organisation_id":2778,"relation":"maintains","created_at":"2021-09-30T09:27:56.519Z","updated_at":"2021-09-30T09:27:56.519Z","grant_id":null,"is_lead":false,"saved_state":{"id":2778,"name":"The Flow Informatics and Computational Cytometry Society (FICCS)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6321,"fairsharing_record_id":868,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:56.478Z","updated_at":"2021-09-30T09:32:51.371Z","grant_id":1807,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"AI40076","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"869","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:38:34.704Z","metadata":{"doi":"10.25504/FAIRsharing.ax1gd5","name":"Outbreak Reports and Intervention studies Of Nosocomial infection","status":"deprecated","contacts":[{"contact_email":"info@idrn.org"}],"homepage":"http://www.idrn.org/orion.php","citations":[],"identifier":869,"description":"In order to raise the standards of research and publication, a CONSORT equivalent for these largely quasi-experimental studies has been prepared by the authors of two relevant systematic reviews undertaken for the HTA and the Cochrane Collaboration. The statement was revised following widespread consultation with learned societies, editors of journals and researchers. It consists of a 22 item checklist, and a summary table. Like CONSORT, ORION considers itself a work in progress, which requires ongoing dialogue for successful promotion and dissemination.","abbreviation":"ORION","support_links":[{"url":"http://www.idrn.org/contact_us/","type":"Contact form"},{"url":"http://www.idrn.org/documents/events/workshops/ORION%20statement.doc","type":"Help documentation"},{"url":"http://www.idrn.org/documents/events/workshops/Checklist.doc","type":"Help documentation"}],"year_creation":2007,"deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000103","bsg-s000103"],"name":"FAIRsharing record for: Outbreak Reports and Intervention studies Of Nosocomial infection","abbreviation":"ORION","url":"https://fairsharing.org/10.25504/FAIRsharing.ax1gd5","doi":"10.25504/FAIRsharing.ax1gd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In order to raise the standards of research and publication, a CONSORT equivalent for these largely quasi-experimental studies has been prepared by the authors of two relevant systematic reviews undertaken for the HTA and the Cochrane Collaboration. The statement was revised following widespread consultation with learned societies, editors of journals and researchers. It consists of a 22 item checklist, and a summary table. Like CONSORT, ORION considers itself a work in progress, which requires ongoing dialogue for successful promotion and dissemination.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12099}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Pathogen","Nosocomial infection","Intervention design","Hospital","Infection"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1825,"pubmed_id":17376385,"title":"The ORION statement: guidelines for transparent reporting of outbreak reports and intervention studies of nosocomial infection.","year":2007,"url":"http://doi.org/10.1016/S1473-3099(07)70082-8","authors":"Stone SP,Cooper BS,Kibbler CC,Cookson BD,Roberts JA,Medley GF,Duckworth G,Lai R,Ebrahim S,Brown EM,Wiffen PJ,Davey PG","journal":"Lancet Infect Dis","doi":"10.1016/S1473-3099(07)70082-8","created_at":"2021-09-30T08:25:44.988Z","updated_at":"2021-09-30T08:25:44.988Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"833","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:24.183Z","metadata":{"doi":"10.25504/FAIRsharing.rg2vmt","name":"GenBank Sequence Format","status":"ready","contacts":[{"contact_name":"NCBI Helpdesk","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/Sitemap/samplerecord.html","identifier":833,"description":"GenBank Sequence Format (GenBank Flat File Format) consists of an annotation section and a sequence section. The start of the annotation section is marked by a line beginning with the word \"LOCUS\". The start of sequence section is marked by a line beginning with the word \"ORIGIN\" and the end of the section is marked by a line with only \"//\".","abbreviation":null,"year_creation":2006,"associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/blast","name":"BLAST"}]},"legacy_ids":["bsg-000232","bsg-s000232"],"name":"FAIRsharing record for: GenBank Sequence Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.rg2vmt","doi":"10.25504/FAIRsharing.rg2vmt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenBank Sequence Format (GenBank Flat File Format) consists of an annotation section and a sequence section. The start of the annotation section is marked by a line beginning with the word \"LOCUS\". The start of sequence section is marked by a line beginning with the word \"ORIGIN\" and the end of the section is marked by a line with only \"//\".","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12427}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Genetics","Data Management"],"domains":["DNA sequence data","RNA sequence","Deoxyribonucleic acid","Ribosomal RNA","Ribonucleic acid","Nucleotide","Messenger RNA","Transfer RNA","Sequence tag"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":612,"relation":"undefined"}],"grants":[{"id":6238,"fairsharing_record_id":833,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:53.735Z","updated_at":"2021-09-30T09:27:53.735Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6239,"fairsharing_record_id":833,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:53.761Z","updated_at":"2021-09-30T09:27:53.761Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":6241,"fairsharing_record_id":833,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:53.824Z","updated_at":"2021-09-30T09:27:53.824Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9233,"fairsharing_record_id":833,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.171Z","updated_at":"2022-04-11T12:07:24.171Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"834","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2021-11-24T13:18:41.446Z","metadata":{"doi":"10.25504/FAIRsharing.av8nfd","name":"Open Food Safety Model Ontology","status":"ready","contacts":[{"contact_name":"Salvador","contact_email":"scuberog@hotmail.com"}],"homepage":"https://sites.google.com/site/openfsmr/","identifier":834,"description":"This is the food-matrix ontology for the Open Food Safety Model Repository. Transferring predictive microbial models from research into real world food manufacturing or risk assessment applications is still a challenge for members of the food safety modelling community. This ontology supports the repository where existing predictive models previously published in the scientific literature were re-implemented using Predictive Modelling in Food Markup Language (PMF-ML), which is based on SBML.","abbreviation":"OFSMR","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OFSMR","name":"OFSMR","portal":"BioPortal"}]},"legacy_ids":["bsg-000730","bsg-s000730"],"name":"FAIRsharing record for: Open Food Safety Model Ontology","abbreviation":"OFSMR","url":"https://fairsharing.org/10.25504/FAIRsharing.av8nfd","doi":"10.25504/FAIRsharing.av8nfd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is the food-matrix ontology for the Open Food Safety Model Repository. Transferring predictive microbial models from research into real world food manufacturing or risk assessment applications is still a challenge for members of the food safety modelling community. This ontology supports the repository where existing predictive models previously published in the scientific literature were re-implemented using Predictive Modelling in Food Markup Language (PMF-ML), which is based on SBML.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Systems Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1950,"pubmed_id":null,"title":"Towards Community Driven Food Safety Model Repositories","year":2016,"url":"http://doi.org/10.1016/j.profoo.2016.02.098","authors":"Matthias Filter, Carolina Plaza-Rodriguez, Christian Thoens, Annemarie Kaesbohrer, Bernd Appel","journal":"Procedia Food Science","doi":"10.1016/j.profoo.2016.02.098","created_at":"2021-09-30T08:25:59.448Z","updated_at":"2021-09-30T08:25:59.448Z"}],"licence_links":[],"grants":[{"id":6242,"fairsharing_record_id":834,"organisation_id":1002,"relation":"maintains","created_at":"2021-09-30T09:27:53.900Z","updated_at":"2021-09-30T09:27:53.900Z","grant_id":null,"is_lead":false,"saved_state":{"id":1002,"name":"Federal Institute for Risk Assessment, Berlin, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"835","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:09:39.000Z","updated_at":"2023-06-05T06:24:06.778Z","metadata":{"doi":"10.25504/FAIRsharing.tc2jbF","name":"Optics terminology resource","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/FMC/en/","citations":[],"identifier":835,"description":"Terminology resource used for indexing bibliographical records dealing with “Optics” in the PASCAL database, until 2014. It consists of 3177 entries in 4 languages (English, French, Spanish and German).","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001410","bsg-s001410"],"name":"FAIRsharing record for: Optics terminology resource","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tc2jbF","doi":"10.25504/FAIRsharing.tc2jbF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology resource used for indexing bibliographical records dealing with “Optics” in the PASCAL database, until 2014. It consists of 3177 entries in 4 languages (English, French, Spanish and German).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11296}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Atomic, Molecular, Optical and Plasma Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Optics"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":174,"relation":"undefined"}],"grants":[{"id":6243,"fairsharing_record_id":835,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:53.941Z","updated_at":"2021-09-30T09:27:53.941Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"836","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:23.803Z","metadata":{"doi":"10.25504/FAIRsharing.xjj977","name":"Influenza Ontology","status":"deprecated","contacts":[{"contact_name":"Burke Squires","contact_email":"burkesquires@gmail.com","contact_orcid":"0000-0001-9666-6285"}],"homepage":"http://influenzaontologywiki.igs.umaryland.edu/mediawiki/index.php/Main_Page","identifier":836,"description":"The influenza ontology is an application ontology. Consolidated influenza sequence and surveillance terms from resources such as the BioHealthBase (BHB), a Bioinformatics Resource Center (BRC) for Biodefense and Emerging and Re-emerging Infectious Diseases, the Centers for Excellence in Influenza Research and Surveillance (CEIRS).","abbreviation":"FLU","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FLU","name":"FLU","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/flu.html","name":"flu","portal":"OBO Foundry"}],"deprecation_date":"2020-03-30","deprecation_reason":"This resource has been marked as deprecated by the OBO Foundry, and its homepage was last updated in 2010."},"legacy_ids":["bsg-000094","bsg-s000094"],"name":"FAIRsharing record for: Influenza Ontology","abbreviation":"FLU","url":"https://fairsharing.org/10.25504/FAIRsharing.xjj977","doi":"10.25504/FAIRsharing.xjj977","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The influenza ontology is an application ontology. Consolidated influenza sequence and surveillance terms from resources such as the BioHealthBase (BHB), a Bioinformatics Resource Center (BRC) for Biodefense and Emerging and Re-emerging Infectious Diseases, the Centers for Excellence in Influenza Research and Surveillance (CEIRS).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Virology","Biomedical Science"],"domains":["Disease"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6246,"fairsharing_record_id":836,"organisation_id":1341,"relation":"maintains","created_at":"2021-09-30T09:27:54.056Z","updated_at":"2021-09-30T09:27:54.056Z","grant_id":null,"is_lead":false,"saved_state":{"id":1341,"name":"Influenzer Ontology Administrator","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6244,"fairsharing_record_id":836,"organisation_id":2009,"relation":"maintains","created_at":"2021-09-30T09:27:53.979Z","updated_at":"2021-09-30T09:27:53.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6245,"fairsharing_record_id":836,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:27:54.016Z","updated_at":"2021-09-30T09:27:54.016Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"837","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T12:52:39.000Z","updated_at":"2022-11-22T21:04:58.228Z","metadata":{"doi":"10.25504/FAIRsharing.nknzhj","name":"Compact Identifier Format","status":"ready","contacts":[],"homepage":"https://force11.org/post/introducing-a-new-standard-for-the-citation-of-research-data/","citations":[],"identifier":837,"description":"Compact Identifiers consist of a unique prefix indicating the assigning authority and a locally assigned accession number (prefix:accession). This provides a mechanism for uniquely identifying locally assigned identifiers globally. The Identifiers.org (https://identifiers.org) and N2T.net (https://n2t.net/) resolvers provide stable resolution of Compact Identifiers by sharing a common namespace prefix registry.","abbreviation":null,"support_links":[{"url":"https://www.ebi.ac.uk/support/identifiers.org","name":"Sarala Wimalaratne","type":"Contact form"}],"year_creation":2016,"associated_tools":[{"url":"https://n2t.net/","name":"N2T.net"}]},"legacy_ids":["bsg-001091","bsg-s001091"],"name":"FAIRsharing record for: Compact Identifier Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nknzhj","doi":"10.25504/FAIRsharing.nknzhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Compact Identifiers consist of a unique prefix indicating the assigning authority and a locally assigned accession number (prefix:accession). This provides a mechanism for uniquely identifying locally assigned identifiers globally. The Identifiers.org (https://identifiers.org) and N2T.net (https://n2t.net/) resolvers provide stable resolution of Compact Identifiers by sharing a common namespace prefix registry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":2751,"pubmed_id":29737976,"title":"Uniform resolution of compact identifiers for biomedical data.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.29","authors":"Wimalaratne SM,Juty N,Kunze J,Janee G,McMurry JA,Beard N,Jimenez R,Grethe JS,Hermjakob H,Martone ME,Clark T","journal":"Sci Data","doi":"10.1038/sdata.2018.29","created_at":"2021-09-30T08:27:38.148Z","updated_at":"2021-09-30T08:27:38.148Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":450,"relation":"undefined"}],"grants":[{"id":6247,"fairsharing_record_id":837,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:54.087Z","updated_at":"2021-09-30T09:27:54.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6248,"fairsharing_record_id":837,"organisation_id":340,"relation":"maintains","created_at":"2021-09-30T09:27:54.123Z","updated_at":"2021-09-30T09:27:54.123Z","grant_id":null,"is_lead":false,"saved_state":{"id":340,"name":"California Digital Library (CDL), University of California, Oakland, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"838","type":"fairsharing_records","attributes":{"created_at":"2018-03-10T20:13:17.000Z","updated_at":"2022-07-20T10:49:54.373Z","metadata":{"doi":"10.25504/FAIRsharing.7e9cff","name":"Yam Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_343:ROOT","citations":[],"identifier":838,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Yam Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_343","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001137","bsg-s001137"],"name":"FAIRsharing record for: Yam Ontology","abbreviation":"CO_343","url":"https://fairsharing.org/10.25504/FAIRsharing.7e9cff","doi":"10.25504/FAIRsharing.7e9cff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Yam Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Dioscorea alata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1261,"relation":"undefined"}],"grants":[{"id":6249,"fairsharing_record_id":838,"organisation_id":489,"relation":"maintains","created_at":"2021-09-30T09:27:54.154Z","updated_at":"2021-09-30T09:27:54.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":489,"name":"CGIAR Research Program on Roots, Tubers and Bananas","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6250,"fairsharing_record_id":838,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:27:54.178Z","updated_at":"2021-09-30T09:27:54.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"839","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T11:12:41.000Z","updated_at":"2022-07-20T09:07:09.004Z","metadata":{"doi":"10.25504/FAIRsharing.2cfb88","name":"ISLE Meta Data Initiative","status":"ready","contacts":[],"homepage":"https://tla.mpi.nl/imdi-metadata/","citations":[],"identifier":839,"description":"The ISLE Meta Data Initiative (IMDI) is a metadata standard to describe multi-media and multi-modal language resources. The standard provides interoperability for browsable and searchable corpus structures and resource descriptions.","abbreviation":"IMDI","support_links":[{"url":"https://tla.mpi.nl/contact/","name":"contact","type":"Contact form"},{"url":"https://tla.mpi.nl/forums/","name":"Forum","type":"Forum"}],"year_creation":2006,"associated_tools":[{"url":"https://tla.mpi.nl/tools/tla-tools/arbil/","name":"Abril"},{"url":"https://tla.mpi.nl/forums/software/lamus/","name":"LAMUS"}]},"legacy_ids":["bsg-001244","bsg-s001244"],"name":"FAIRsharing record for: ISLE Meta Data Initiative","abbreviation":"IMDI","url":"https://fairsharing.org/10.25504/FAIRsharing.2cfb88","doi":"10.25504/FAIRsharing.2cfb88","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ISLE Meta Data Initiative (IMDI) is a metadata standard to describe multi-media and multi-modal language resources. The standard provides interoperability for browsable and searchable corpus structures and resource descriptions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":6252,"fairsharing_record_id":839,"organisation_id":1789,"relation":"maintains","created_at":"2021-09-30T09:27:54.236Z","updated_at":"2021-09-30T09:27:54.236Z","grant_id":null,"is_lead":false,"saved_state":{"id":1789,"name":"Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6251,"fairsharing_record_id":839,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:27:54.202Z","updated_at":"2021-09-30T09:27:54.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"243","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:07:52.000Z","updated_at":"2022-07-20T12:47:31.542Z","metadata":{"doi":"10.25504/FAIRsharing.E3Nr1d","name":"FAIR Maturity Indicator Gen2-MI-I2A","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_I2A.md","identifier":243,"description":"The FAIR Maturity Indicator Gen2-MI-I2A measures if the (meta)data uses vocabularies that are, themselves, FAIR. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. In this loose MI, we test only if the vocabulary terms resolve (e.g. to a human-readable page). We do not test if they resolve to machine-readable information. A second Maturity Indicator (Gen2-FM-I2B) is for that stricter test.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001380","bsg-s001380"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-I2A","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.E3Nr1d","doi":"10.25504/FAIRsharing.E3Nr1d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-I2A measures if the (meta)data uses vocabularies that are, themselves, FAIR. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. In this loose MI, we test only if the vocabulary terms resolve (e.g. to a human-readable page). We do not test if they resolve to machine-readable information. A second Maturity Indicator (Gen2-FM-I2B) is for that stricter test.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13190},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13220},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13250},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13265},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20178}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1491,"relation":"undefined"}],"grants":[{"id":5367,"fairsharing_record_id":243,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:24.841Z","updated_at":"2021-09-30T09:27:24.841Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5365,"fairsharing_record_id":243,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:24.779Z","updated_at":"2021-09-30T09:27:24.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5366,"fairsharing_record_id":243,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:24.807Z","updated_at":"2021-09-30T09:27:24.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5368,"fairsharing_record_id":243,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:24.884Z","updated_at":"2021-09-30T09:27:24.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"244","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.734Z","metadata":{"doi":"10.25504/FAIRsharing.4gm9gt","name":"Mental Functioning Ontology","status":"ready","contacts":[{"contact_name":"Janna Hastings","contact_email":"hastings@ebi.ac.uk","contact_orcid":"0000-0002-3469-4923"}],"homepage":"https://github.com/jannahastings/mental-functioning-ontology","identifier":244,"description":"The Mental Functioning Ontology is an ontology for mental functioning, including mental processes such as cognition and traits such as intelligence, and related diseases and disorders. It is developed in the context of the Ontology for General Medical Science and the Basic Formal Ontology. The project is being developed in collaboration between the University of Geneva, Switzerland, and the University at Buffalo, USA. The project is being developed with full involvement of all relevant communities, following best practices laid out by the OBO Foundry. Efforts are currently underway to align with related projects including the Behaviour Ontology, the Cognitive Atlas, the Cognitive Paradigm Ontology and the Neural Electro Magnetic Ontologies.","abbreviation":"MF","support_links":[{"url":"https://github.com/jannahastings/mental-functioning-ontology","type":"Github"},{"url":"https://pdfs.semanticscholar.org/3d94/3119ea9b3b0bba59d1c357899b27fe024721.pdf","name":"Representing mental functioning: Ontologies for mental health and disease","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MF","name":"MF","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mf.html","name":"mf","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002779","bsg-s002779"],"name":"FAIRsharing record for: Mental Functioning Ontology","abbreviation":"MF","url":"https://fairsharing.org/10.25504/FAIRsharing.4gm9gt","doi":"10.25504/FAIRsharing.4gm9gt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mental Functioning Ontology is an ontology for mental functioning, including mental processes such as cognition and traits such as intelligence, and related diseases and disorders. It is developed in the context of the Ontology for General Medical Science and the Basic Formal Ontology. The project is being developed in collaboration between the University of Geneva, Switzerland, and the University at Buffalo, USA. The project is being developed with full involvement of all relevant communities, following best practices laid out by the OBO Foundry. Efforts are currently underway to align with related projects including the Behaviour Ontology, the Cognitive Atlas, the Cognitive Paradigm Ontology and the Neural Electro Magnetic Ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cognitive Neuroscience","Biomedical Science"],"domains":["Cognition","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":5369,"fairsharing_record_id":244,"organisation_id":1819,"relation":"maintains","created_at":"2021-09-30T09:27:24.922Z","updated_at":"2021-09-30T09:27:24.922Z","grant_id":null,"is_lead":false,"saved_state":{"id":1819,"name":"Mental Functioning Ontology (MF) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"245","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:47:31.683Z","metadata":{"doi":"10.25504/FAIRsharing.fajtj3","name":"Biorefinery","status":"ready","contacts":[{"contact_name":"Patrice Buche","contact_email":"patrice.buche@supagro.inra.fr"}],"homepage":"https://www6.inrae.fr/cati-icat-atweb/Ontologies/Biorefinery","identifier":245,"description":"The Biorefinery ontology (BIOREFINERY) is dedicated to the determination of the best match treatment-biomass allowing the achievement of best constituent extraction yields with minimum environmental impact. It describes characteristics of biomass relevant for bio-refinery and unitary operations to transform biomass in glucose.","abbreviation":"BIOREFINERY","support_links":[{"url":"https://www6.inra.fr/cati-icat-atweb/Ontologies/Biorefinery","name":"INRA Biorefinery Documentation","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001100","bsg-s001100"],"name":"FAIRsharing record for: Biorefinery","abbreviation":"BIOREFINERY","url":"https://fairsharing.org/10.25504/FAIRsharing.fajtj3","doi":"10.25504/FAIRsharing.fajtj3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biorefinery ontology (BIOREFINERY) is dedicated to the determination of the best match treatment-biomass allowing the achievement of best constituent extraction yields with minimum environmental impact. It describes characteristics of biomass relevant for bio-refinery and unitary operations to transform biomass in glucose.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Agriculture","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Biomass"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1131,"relation":"undefined"}],"grants":[{"id":5370,"fairsharing_record_id":245,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:24.954Z","updated_at":"2021-09-30T09:27:24.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5371,"fairsharing_record_id":245,"organisation_id":1360,"relation":"maintains","created_at":"2021-09-30T09:27:25.000Z","updated_at":"2021-09-30T09:27:25.000Z","grant_id":null,"is_lead":false,"saved_state":{"id":1360,"name":"INRA @Web Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"246","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.815Z","metadata":{"doi":"10.25504/FAIRsharing.sszk3y","name":"Robert Hoehndorf's Version of MeSH","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"leechuck@leechuck.de","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://code.google.com/p/pharmgkb-owl/","identifier":246,"description":"A modified version of the Medical Subjects Headings Thesaurus (MeSH) 2014. This is an OWL representation of MeSH so that it can be integrated with other ontologies represented in OWL. It contains all terms that are in MeSH and in the MeSH concept tree, including the pharmacological actions (represented as subclass relations). Concepts in the MeSH concept tree are merged with MeSH term ids. Note that, while this ontology is composed of MeSH terms, it does not correspond directly to UMLS MeSH. In particular, a single term in UMLS MeSH often results in multiple classes in this ontology.","abbreviation":"RH-MeSH","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RH-MESH","name":"RH-MESH","portal":"BioPortal"}]},"legacy_ids":["bsg-002792","bsg-s002792"],"name":"FAIRsharing record for: Robert Hoehndorf's Version of MeSH","abbreviation":"RH-MeSH","url":"https://fairsharing.org/10.25504/FAIRsharing.sszk3y","doi":"10.25504/FAIRsharing.sszk3y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A modified version of the Medical Subjects Headings Thesaurus (MeSH) 2014. This is an OWL representation of MeSH so that it can be integrated with other ontologies represented in OWL. It contains all terms that are in MeSH and in the MeSH concept tree, including the pharmacological actions (represented as subclass relations). Concepts in the MeSH concept tree are merged with MeSH term ids. Note that, while this ontology is composed of MeSH terms, it does not correspond directly to UMLS MeSH. In particular, a single term in UMLS MeSH often results in multiple classes in this ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Biomedical Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":107,"relation":"undefined"}],"grants":[{"id":5372,"fairsharing_record_id":246,"organisation_id":2438,"relation":"maintains","created_at":"2021-09-30T09:27:25.042Z","updated_at":"2021-09-30T09:27:25.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":2438,"name":"RH-MeSH Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"247","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.088Z","metadata":{"doi":"10.25504/FAIRsharing.rm5xc3","name":"Gastroenterology Clinical Cases","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/3017","identifier":247,"description":"Gastroenterology Clinical Cases is an ontology to describe clinical case terminologies associated with Gastroenterology. The link for this record no longer works and there is no current information available at present.","abbreviation":"GCC","deprecation_date":"2019-06-18","deprecation_reason":"We do not have sufficient information on the status of this record."},"legacy_ids":["bsg-002791","bsg-s002791"],"name":"FAIRsharing record for: Gastroenterology Clinical Cases","abbreviation":"GCC","url":"https://fairsharing.org/10.25504/FAIRsharing.rm5xc3","doi":"10.25504/FAIRsharing.rm5xc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gastroenterology Clinical Cases is an ontology to describe clinical case terminologies associated with Gastroenterology. The link for this record no longer works and there is no current information available at present.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Gastroenterology"],"domains":["Disease","Lower digestive tract"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"249","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:37:04.407Z","metadata":{"doi":"10.25504/FAIRsharing.tb6w4b","name":"Cell Phenotype Ontology","status":"uncertain","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"rh497@cam.ac.uk","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://code.google.com/archive/p/cell-phenotype/","identifier":249,"description":"The CPO is an ontology of morphological and physiological phenotypic characteristics of cells, cell components and cellular processes. Its prime application is to provide terms and uniform definition patterns for the annotation of cellular phenotypes. The CPO can be used for the annotation of observed abnormalities in domains, such as systems microscopy, in which cellular abnormalities are observed and for which no phenotype ontology has been created.","abbreviation":"CPO","year_creation":2011},"legacy_ids":["bsg-002793","bsg-s002793"],"name":"FAIRsharing record for: Cell Phenotype Ontology","abbreviation":"CPO","url":"https://fairsharing.org/10.25504/FAIRsharing.tb6w4b","doi":"10.25504/FAIRsharing.tb6w4b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CPO is an ontology of morphological and physiological phenotypic characteristics of cells, cell components and cellular processes. Its prime application is to provide terms and uniform definition patterns for the annotation of cellular phenotypes. The CPO can be used for the annotation of observed abnormalities in domains, such as systems microscopy, in which cellular abnormalities are observed and for which no phenotype ontology has been created.","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11283}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell","Cell morphology","Phenotype","Morphology"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","United Kingdom","European Union"],"publications":[{"id":1276,"pubmed_id":22539675,"title":"Semantic integration of physiology phenotypes with an application to the Cellular Phenotype Ontology.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts250","authors":"Hoehndorf R,Harris MA,Herre H,Rustici G,Gkoutos GV","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts250","created_at":"2021-09-30T08:24:42.441Z","updated_at":"2021-09-30T08:24:42.441Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1837,"relation":"undefined"}],"grants":[{"id":5374,"fairsharing_record_id":249,"organisation_id":400,"relation":"maintains","created_at":"2021-09-30T09:27:25.122Z","updated_at":"2021-09-30T09:27:25.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":400,"name":"Cell Phenotype Ontology (CPO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"250","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.376Z","metadata":{"doi":"10.25504/FAIRsharing.9mfexc","name":"Minimum Information About a Genotyping Experiment","status":"ready","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"richard.scheuermann@utsouthwestern.edu","contact_orcid":"0000-0003-1355-892X"}],"homepage":"http://migen.sourceforge.net/","identifier":250,"description":"MIGen recommends the standard information required to report a genotyping experiment, covering: study and experiment design, subject information, sample collection and processing, genotyping procedure, and data analysis methods, if applicable.","abbreviation":"MIGen","support_links":[{"url":"jie.huang@utsouthwestern.edu","type":"Support email"},{"url":"http://migen.sourceforge.net/MIGenDownloads/MIGen%20Draft_V1_May2011.pdf","type":"Help documentation"},{"url":"http://mibbi.sourceforge.net/projects/MIGen.shtml","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000173","bsg-s000173"],"name":"FAIRsharing record for: Minimum Information About a Genotyping Experiment","abbreviation":"MIGen","url":"https://fairsharing.org/10.25504/FAIRsharing.9mfexc","doi":"10.25504/FAIRsharing.9mfexc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIGen recommends the standard information required to report a genotyping experiment, covering: study and experiment design, subject information, sample collection and processing, genotyping procedure, and data analysis methods, if applicable.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11154},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11580}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Genotyping","Deoxyribonucleic acid","Genome-wide association study","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1680,"pubmed_id":22180825,"title":"Minimum Information about a Genotyping Experiment (MIGEN).","year":2011,"url":"http://doi.org/10.4056/sigs.1994602","authors":"Huang J,Mirel D,Pugh E,Xing C,Robinson PN,Pertsemlidis A,Ding L,Kozlitina J,Maher J,Rios J,Story M,Marthandan N,Scheuermann RH","journal":"Stand Genomic Sci","doi":"10.4056/sigs.1994602","created_at":"2021-09-30T08:25:28.196Z","updated_at":"2021-09-30T08:25:28.196Z"}],"licence_links":[],"grants":[{"id":5375,"fairsharing_record_id":250,"organisation_id":1847,"relation":"maintains","created_at":"2021-09-30T09:27:25.154Z","updated_at":"2021-09-30T09:27:25.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":1847,"name":"Minimum Information about a Genotyping Experiment (MIGen) Working Group, Dallas, TX, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"251","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-05T13:51:33.397Z","metadata":{"doi":"10.25504/FAIRsharing.s7ryc2","name":"Ontology for Data Mining Investigations","status":"deprecated","contacts":[{"contact_name":"Pance Panov","contact_email":"Pance.Panov@ijs.si"}],"homepage":"http://www.ontodm.com/doku.php?id=ontodm-kdd","citations":[],"identifier":251,"description":"OntoDM-KDD is an ontology for representing data mining investigations. Its goal is to allow the representation of knowledge discovery processes and be general enough to represent the data mining investigations. The ontology is based on the CRISP-DM process methodology.","abbreviation":"OntoDM-KDD","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTODM-KDD","name":"ONTODM-KDD","portal":"BioPortal"}],"deprecation_date":"2023-04-05","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002817","bsg-s002817"],"name":"FAIRsharing record for: Ontology for Data Mining Investigations","abbreviation":"OntoDM-KDD","url":"https://fairsharing.org/10.25504/FAIRsharing.s7ryc2","doi":"10.25504/FAIRsharing.s7ryc2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoDM-KDD is an ontology for representing data mining investigations. Its goal is to allow the representation of knowledge discovery processes and be general enough to represent the data mining investigations. The ontology is based on the CRISP-DM process methodology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Slovenia","United Kingdom"],"publications":[{"id":1786,"pubmed_id":null,"title":"OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process","year":2013,"url":"http://doi.org/10.1007/978-3-642-40897-7_9","authors":"Panče PanovAffiliated with Jožef Stefan Institute , Larisa Soldatova, Sašo Džeroski","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-642-40897-7_9","created_at":"2021-09-30T08:25:40.430Z","updated_at":"2021-09-30T11:28:33.402Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"239","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2024-01-25T15:35:12.722Z","metadata":{"doi":"10.25504/FAIRsharing.a557he","name":"Ontology of Cardiovascular Drug Adverse Events","status":"deprecated","contacts":[{"contact_name":"Liwei Wang","contact_email":"wang.liwei@mayo.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/OCVDAE","citations":[],"identifier":239,"description":"With increased usage of cardiovascular drugs (CVDs) for treating cardiovascular diseases, it is important to analyze CVD-associated adverse events (AEs). The Ontology of Cardiovascular Drug Adverse Events (OCVDAE) is an ontology of adverse events associated with cardiovascular disease drugs. It extends the Ontology of Adverse Events (OAE) and NDF-RT. OCVDAE includes 194 CVDs, CVD ingredients, mechanisms of actions (MoAs), and CVD-associated 736 AEs.","abbreviation":"OCVDAE","support_links":[{"url":"yongqunh@med.umich.edu","name":"Yongqun Oliver He","type":"Support email"},{"url":"https://github.com/OCVDAE/OCVDAE","name":"GitHub Repository","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCVDAE","name":"OCVDAE","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This resource has not been updated since 2016, and it is no longer listed on the website of the maintaining He Group, therefore it has been deprecated. Please get in touch with us if you have any questions."},"legacy_ids":["bsg-001081","bsg-s001081"],"name":"FAIRsharing record for: Ontology of Cardiovascular Drug Adverse Events","abbreviation":"OCVDAE","url":"https://fairsharing.org/10.25504/FAIRsharing.a557he","doi":"10.25504/FAIRsharing.a557he","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: With increased usage of cardiovascular drugs (CVDs) for treating cardiovascular diseases, it is important to analyze CVD-associated adverse events (AEs). The Ontology of Cardiovascular Drug Adverse Events (OCVDAE) is an ontology of adverse events associated with cardiovascular disease drugs. It extends the Ontology of Adverse Events (OAE) and NDF-RT. OCVDAE includes 194 CVDs, CVD ingredients, mechanisms of actions (MoAs), and CVD-associated 736 AEs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Adverse Reaction","Cardiovascular disease","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China","United States"],"publications":[{"id":2289,"pubmed_id":29061976,"title":"Ontology-based systematical representation and drug class effect analysis of package insert-reported adverse events associated with cardiovascular drugs used in China.","year":2017,"url":"http://doi.org/10.1038/s41598-017-12580-4","authors":"Wang L,Li M,Xie J,Cao Y,Liu H,He Y","journal":"Sci Rep","doi":"10.1038/s41598-017-12580-4","created_at":"2021-09-30T08:26:39.073Z","updated_at":"2021-09-30T08:26:39.073Z"}],"licence_links":[],"grants":[{"id":5347,"fairsharing_record_id":239,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:24.057Z","updated_at":"2024-01-25T12:58:55.431Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5348,"fairsharing_record_id":239,"organisation_id":724,"relation":"maintains","created_at":"2021-09-30T09:27:24.100Z","updated_at":"2021-09-30T09:27:24.100Z","grant_id":null,"is_lead":false,"saved_state":{"id":724,"name":"Department of Medical Informatics, School of Public Health, Jilin University, Changchun, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5349,"fairsharing_record_id":239,"organisation_id":1227,"relation":"maintains","created_at":"2021-09-30T09:27:24.141Z","updated_at":"2021-09-30T09:27:24.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1227,"name":"Hebei Medical University, Shijiazhuang, Hebei Province, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5350,"fairsharing_record_id":239,"organisation_id":716,"relation":"maintains","created_at":"2021-09-30T09:27:24.182Z","updated_at":"2021-09-30T09:27:24.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":716,"name":"Department of Health Sciences Research, Mayo Clinic, Rochester, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"240","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:55:06.497Z","metadata":{"doi":"10.25504/FAIRsharing.as08v3","name":"CareLex Controlled Vocabulary","status":"ready","contacts":[{"contact_name":"Jennifer Alpert Palchak","contact_email":"admin@carelex.org"}],"homepage":"http://www.carelex.org/","identifier":240,"description":"Contains controlled vocabulary terms from National Cancer Institute used to classify clinical trial electronic content (documents, images, etc). A Content model contains content classification categories (classes) and metadata properties (data properties). Data properties should be assigned to each Content Type. This model has been published as part of the new OASIS eTMF Standard, a draft specification available at: http://oasis-open.org/committees/etmf. CareLex is a non-profit organization formed to promote eClinical application and content interoperability for the life sciences and healthcare industries.","abbreviation":"CareLex CV","support_links":[{"url":"http://carelex.org/blog/","type":"Blog/News"},{"url":"http://carelex.org/contact/","type":"Contact form"},{"url":"http://carelex.org/faq/","name":"CareLex FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://carelex.org/how-to-use-carelex/","name":"How To Use CareLex","type":"Help documentation"},{"url":"http://carelex.org/training/","type":"Training documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CARELEX","name":"CARELEX","portal":"BioPortal"}]},"legacy_ids":["bsg-002784","bsg-s002784"],"name":"FAIRsharing record for: CareLex Controlled Vocabulary","abbreviation":"CareLex CV","url":"https://fairsharing.org/10.25504/FAIRsharing.as08v3","doi":"10.25504/FAIRsharing.as08v3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Contains controlled vocabulary terms from National Cancer Institute used to classify clinical trial electronic content (documents, images, etc). A Content model contains content classification categories (classes) and metadata properties (data properties). Data properties should be assigned to each Content Type. This model has been published as part of the new OASIS eTMF Standard, a draft specification available at: http://oasis-open.org/committees/etmf. CareLex is a non-profit organization formed to promote eClinical application and content interoperability for the life sciences and healthcare industries.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12469}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Cancer","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5351,"fairsharing_record_id":240,"organisation_id":607,"relation":"maintains","created_at":"2021-09-30T09:27:24.222Z","updated_at":"2021-09-30T09:27:24.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":607,"name":"Content Archive Resource Exchange Lexicon (CareLex) Administrators","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"241","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T09:41:07.289Z","metadata":{"doi":"10.25504/FAIRsharing.11889","name":"mz peptide and protein Identification Markup Language","status":"ready","contacts":[{"contact_name":"Andy Jones","contact_email":"Andrew.Jones@liverpool.ac.uk"}],"homepage":"http://www.psidev.info/mzidentml","citations":[],"identifier":241,"description":"A large number of different proteomics search engines are available that produce output in a variety of different formats. It is intended that mzIdentML will provide a common format for the export of identification results from any search engine. The format was originally developed under the name AnalysisXML as a format for several types of computational analyses performed over mass spectra in the proteomics context. It has been decided to split development into two formats: mzIdentML for peptide and protein identification, and mzQuantML, covering quantitative proteomic data derived from MS.","abbreviation":"mzIdentML","support_links":[{"url":"https://www.psidev.info/mzidentml","name":"PSI mzIdentML Homepage","type":"Help documentation"},{"url":"psi-dev@listserv.sourceforge.net","type":"Mailing list"},{"url":"https://github.com/HUPO-PSI/mzIdentML","name":"mzIdentML on GitHub","type":"Github"},{"url":"https://lists.sourceforge.net/lists/listinfo/psidev-pi-dev","name":"mzIdentML Development Discussion List","type":"Contact form"}],"year_creation":2009,"associated_tools":[{"url":"https://www.psidev.info/tools-implementing-mzidentml","name":"Tools implementing mzIdentML"}]},"legacy_ids":["bsg-000002","bsg-s000002"],"name":"FAIRsharing record for: mz peptide and protein Identification Markup Language","abbreviation":"mzIdentML","url":"https://fairsharing.org/10.25504/FAIRsharing.11889","doi":"10.25504/FAIRsharing.11889","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A large number of different proteomics search engines are available that produce output in a variety of different formats. It is intended that mzIdentML will provide a common format for the export of identification results from any search engine. The format was originally developed under the name AnalysisXML as a format for several types of computational analyses performed over mass spectra in the proteomics context. It has been decided to split development into two formats: mzIdentML for peptide and protein identification, and mzQuantML, covering quantitative proteomic data derived from MS.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11422},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11915}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Peptide identification","Protein identification","Omics data analysis","Centrally registered identifier","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1529,"pubmed_id":21063947,"title":"mzIdentML: an open community-built standard format for the results of proteomics spectrum identification algorithms.","year":2010,"url":"http://doi.org/10.1007/978-1-60761-987-1_10","authors":"Eisenacher M.","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-60761-987-1_10","created_at":"2021-09-30T08:25:11.151Z","updated_at":"2021-09-30T08:25:11.151Z"},{"id":4029,"pubmed_id":28515314,"title":"The mzIdentML Data Standard Version 1.2, Supporting Advances in Proteome Informatics","year":2017,"url":"http://dx.doi.org/10.1074/mcp.m117.068429","authors":"Vizcaíno, Juan Antonio; Mayer, Gerhard; Perkins, Simon; Barsnes, Harald; Vaudel, Marc; Perez-Riverol, Yasset; Ternent, Tobias; Uszkoreit, Julian; Eisenacher, Martin; Fischer, Lutz; Rappsilber, Juri; Netz, Eugen; Walzer, Mathias; Kohlbacher, Oliver; Leitner, Alexander; Chalkley, Robert J.; Ghali, Fawaz; Martínez-Bartolomé, Salvador; Deutsch, Eric W.; Jones, Andrew R.; ","journal":"Molecular \u0026amp; Cellular Proteomics","doi":"10.1074/mcp.m117.068429","created_at":"2023-10-23T14:28:02.915Z","updated_at":"2023-10-23T14:28:02.915Z"},{"id":4030,"pubmed_id":22375074,"title":"The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results","year":2012,"url":"https://doi.org/10.1074/mcp.m111.014381","authors":"Jones AR, Eisenacher M, Mayer G, Kohlbacher O, Siepen J, Hubbard SJ, Selley JN, Searle BC, Shofstahl J, Seymour SL, Julian R, Binz PA, Deutsch EW, Hermjakob H, Reisinger F, Griss J, Vizcaíno JA, Chambers M, Pizarro A, Creasy D","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.m111.014381","created_at":"2023-10-23T14:31:51.857Z","updated_at":"2023-10-23T14:31:51.857Z"}],"licence_links":[],"grants":[{"id":5352,"fairsharing_record_id":241,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:24.258Z","updated_at":"2021-09-30T09:27:24.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"242","type":"fairsharing_records","attributes":{"created_at":"2019-05-03T19:07:26.000Z","updated_at":"2022-07-20T12:46:20.038Z","metadata":{"doi":"10.25504/FAIRsharing.p9EyGm","name":"Minimum Information for Reusable Arthropod Abundance Data","status":"ready","contacts":[{"contact_name":"Samuel Rund","contact_email":"srund@nd.edu","contact_orcid":"0000-0002-1701-7787"}],"homepage":"https://www.nature.com/articles/s41597-019-0042-5","citations":[{"doi":"10.1038/s41597-019-0042-5","pubmed_id":31024009,"publication_id":2448}],"identifier":242,"description":"The Minimum Information for Reusable Arthropod Abundance Data (MIReAD) is a minimum information standard for reporting arthropod abundance data through time. Developed with broad stakeholder collaboration, it balances sufficiency for reuse with the practicality of preparing the data for submission. It is designed to optimize data (re)usability from the “FAIR,” (Findable, Accessible, Interoperable, and Reusable) principles of public data archiving (PDA). This standard aims to facilitate data unification across research initiatives and communities dedicated to surveillance for detection and control of vector-borne diseases and pests.","abbreviation":"MIReAD","year_creation":2019},"legacy_ids":["bsg-001367","bsg-s001367"],"name":"FAIRsharing record for: Minimum Information for Reusable Arthropod Abundance Data","abbreviation":"MIReAD","url":"https://fairsharing.org/10.25504/FAIRsharing.p9EyGm","doi":"10.25504/FAIRsharing.p9EyGm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information for Reusable Arthropod Abundance Data (MIReAD) is a minimum information standard for reporting arthropod abundance data through time. Developed with broad stakeholder collaboration, it balances sufficiency for reuse with the practicality of preparing the data for submission. It is designed to optimize data (re)usability from the “FAIR,” (Findable, Accessible, Interoperable, and Reusable) principles of public data archiving (PDA). This standard aims to facilitate data unification across research initiatives and communities dedicated to surveillance for detection and control of vector-borne diseases and pests.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12544}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Agroecology","Population Dynamics","Biodiversity","Agriculture"],"domains":["FAIR"],"taxonomies":["Arthropoda"],"user_defined_tags":[],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":2448,"pubmed_id":31024009,"title":"MIReAD, a minimum information standard for reporting arthropod abundance data.","year":2019,"url":"http://doi.org/10.1038/s41597-019-0042-5","authors":"Rund SSC,Braak K,Cator L,Copas K,Emrich SJ,Giraldo-Calderon GI,Johansson MA,Heydari N,Hobern D,Kelly SA,Lawson D,Lord C,MacCallum RM,Roche DG,Ryan SJ,Schigel D,Vandegrift K,Watts M,Zaspel JM,Pawar S","journal":"Sci Data","doi":"10.1038/s41597-019-0042-5","created_at":"2021-09-30T08:27:00.243Z","updated_at":"2021-09-30T08:27:00.243Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1128,"relation":"undefined"}],"grants":[{"id":5353,"fairsharing_record_id":242,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:24.300Z","updated_at":"2021-09-30T09:27:24.300Z","grant_id":null,"is_lead":true,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5358,"fairsharing_record_id":242,"organisation_id":557,"relation":"maintains","created_at":"2021-09-30T09:27:24.491Z","updated_at":"2021-09-30T09:27:24.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":557,"name":"College of Life Sciences, University of Kwa-Zulu Natal, Durban, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5361,"fairsharing_record_id":242,"organisation_id":1320,"relation":"maintains","created_at":"2021-09-30T09:27:24.651Z","updated_at":"2021-09-30T09:27:24.651Z","grant_id":null,"is_lead":false,"saved_state":{"id":1320,"name":"Imperial College London, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5364,"fairsharing_record_id":242,"organisation_id":3137,"relation":"maintains","created_at":"2021-09-30T09:27:24.748Z","updated_at":"2021-09-30T09:27:24.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":3137,"name":"University of Tennessee, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5354,"fairsharing_record_id":242,"organisation_id":3055,"relation":"maintains","created_at":"2021-09-30T09:27:24.337Z","updated_at":"2021-09-30T09:27:24.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5355,"fairsharing_record_id":242,"organisation_id":421,"relation":"maintains","created_at":"2021-09-30T09:27:24.371Z","updated_at":"2021-09-30T09:27:24.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":421,"name":"Center for Global Health and Translational Science, State University of New York Upstate Medical University, Syracuse, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5356,"fairsharing_record_id":242,"organisation_id":1021,"relation":"maintains","created_at":"2021-09-30T09:27:24.408Z","updated_at":"2021-09-30T09:27:24.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":1021,"name":"Florida Medical Entomology Lab, University of Florida-IFAS, Vero Beach, FL, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5357,"fairsharing_record_id":242,"organisation_id":1404,"relation":"maintains","created_at":"2021-09-30T09:27:24.450Z","updated_at":"2021-09-30T09:27:24.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":1404,"name":"Institute of Biology, University of Neuchatel, Neuchatel, Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5359,"fairsharing_record_id":242,"organisation_id":423,"relation":"maintains","created_at":"2021-09-30T09:27:24.529Z","updated_at":"2021-09-30T09:27:24.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":423,"name":"Center for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, University Park, PA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5360,"fairsharing_record_id":242,"organisation_id":745,"relation":"maintains","created_at":"2021-09-30T09:27:24.563Z","updated_at":"2021-09-30T09:27:24.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":745,"name":"Department of Zoology, Milwaukee Public Museum, Milwaukee, WI, USA","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5362,"fairsharing_record_id":242,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:27:24.688Z","updated_at":"2021-09-30T09:27:24.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5363,"fairsharing_record_id":242,"organisation_id":442,"relation":"maintains","created_at":"2021-09-30T09:27:24.720Z","updated_at":"2021-09-30T09:27:24.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":442,"name":"Centers for Disease Control and Prevention, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"206","type":"fairsharing_records","attributes":{"created_at":"2016-08-19T10:53:26.000Z","updated_at":"2024-04-04T10:15:48.304Z","metadata":{"doi":"10.25504/FAIRsharing.fztr98","name":"FAANG metadata experiment specification standard","status":"ready","contacts":[{"contact_name":"Alexey Sokolov","contact_email":"alexey@ebi.ac.uk","contact_orcid":"0000-0002-3387-0649"}],"homepage":"https://github.com/FAANG/faang-metadata/blob/master/docs/faang_experiment_metadata.md","citations":[],"identifier":206,"description":"The FAANG metadata experiment specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG experiments are well described and that the description is well structured. We support the MIAME and MINSEQE guidelines, and aim to convert them to a concrete specification. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","abbreviation":null,"support_links":[{"url":"faang@iastate.edu","name":"General Contact","type":"Support email"},{"url":"faang-dcc@ebi.ac.uk","name":"DCC General Contact","type":"Support email"}],"year_creation":2016,"associated_tools":[{"url":"http://www.ebi.ac.uk/vg/faang","name":"FAANG metadata validation tool"}]},"legacy_ids":["bsg-000673","bsg-s000673"],"name":"FAIRsharing record for: FAANG metadata experiment specification standard","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fztr98","doi":"10.25504/FAIRsharing.fztr98","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAANG metadata experiment specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG experiments are well described and that the description is well structured. We support the MIAME and MINSEQE guidelines, and aim to convert them to a concrete specification. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Experimental measurement","Biological sample annotation","Biological sample","Sample preparation for assay","Protocol","Study design","Experimentally determined","Genome-wide association study"],"taxonomies":["Bos taurus","Bubalus bubalis","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":["Experimental condition"],"countries":["United Kingdom","United States","European Union"],"publications":[],"licence_links":[{"licence_name":"FAANG Apache License","licence_id":308,"licence_url":"https://github.com/FAANG/validate-metadata/blob/master/LICENSE","link_id":2224,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":2223,"relation":"undefined"}],"grants":[{"id":5275,"fairsharing_record_id":206,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:21.281Z","updated_at":"2021-09-30T09:27:21.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5277,"fairsharing_record_id":206,"organisation_id":1069,"relation":"maintains","created_at":"2021-09-30T09:27:21.331Z","updated_at":"2021-09-30T09:27:21.331Z","grant_id":null,"is_lead":true,"saved_state":{"id":1069,"name":"Functional Annotation of Animal Genomes (FAANG) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9229,"fairsharing_record_id":206,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.957Z","updated_at":"2022-04-11T12:07:23.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"207","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T22:45:43.000Z","updated_at":"2021-11-24T13:13:50.915Z","metadata":{"doi":"10.25504/FAIRsharing.4163ac","name":"Good Epidemiological Practice","status":"ready","contacts":[{"contact_name":"Neeltje van den Berg","contact_email":"neeltje.vandenberg@uni.greifswald.de"}],"homepage":"https://www.dgepi.de/assets/Good-Epidemiological-Practice-GEP-EurJ-Epidemiol-2019.pdf","citations":[{"doi":"https://doi.org/10.1007/s10654-019-00500-x","publication_id":2893}],"identifier":207,"description":"The GEP are addressed to everyone involved in the planning, preparation, execution, analysis, and evaluation of epidemiological research, as well as research institutes, and funding bodies. The GEP adopts international best practices for epidemiological research.","abbreviation":"GEP","year_creation":1999},"legacy_ids":["bsg-001464","bsg-s001464"],"name":"FAIRsharing record for: Good Epidemiological Practice","abbreviation":"GEP","url":"https://fairsharing.org/10.25504/FAIRsharing.4163ac","doi":"10.25504/FAIRsharing.4163ac","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GEP are addressed to everyone involved in the planning, preparation, execution, analysis, and evaluation of epidemiological research, as well as research institutes, and funding bodies. The GEP adopts international best practices for epidemiological research.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12237},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12553}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Epidemiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2893,"pubmed_id":null,"title":"Guidelines and recommendations for ensuring Good Epidemiological Practice (GEP): a guideline developed by the German Society for Epidemiology.","year":2019,"url":"https://doi.org/10.1007/s10654-019-00500-x","authors":"Hoffmann, W., Latza, U., Baumeister, S.E. et al.","journal":"Eur J Epidemiol.","doi":"https://doi.org/10.1007/s10654-019-00500-x","created_at":"2021-09-30T08:27:56.208Z","updated_at":"2021-09-30T08:27:56.208Z"}],"licence_links":[],"grants":[{"id":5280,"fairsharing_record_id":207,"organisation_id":1145,"relation":"maintains","created_at":"2021-09-30T09:27:21.415Z","updated_at":"2021-09-30T09:27:21.415Z","grant_id":null,"is_lead":true,"saved_state":{"id":1145,"name":"German Society for Epidemiology (DGEpi)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5278,"fairsharing_record_id":207,"organisation_id":1146,"relation":"maintains","created_at":"2021-09-30T09:27:21.362Z","updated_at":"2021-09-30T09:27:21.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":1146,"name":"German Society of Social Medicine and Prevention (DGSMP)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5279,"fairsharing_record_id":207,"organisation_id":1143,"relation":"maintains","created_at":"2021-09-30T09:27:21.391Z","updated_at":"2021-09-30T09:27:21.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":1143,"name":"German Region of the International Biometric Society (IBS-DR)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5281,"fairsharing_record_id":207,"organisation_id":1132,"relation":"maintains","created_at":"2021-09-30T09:27:21.445Z","updated_at":"2021-09-30T09:27:21.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1132,"name":"German Association for Medical Informatics, Biometry and Epidemiology (GMDS)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"208","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T11:38:27.000Z","updated_at":"2023-02-24T14:56:53.171Z","metadata":{"name":"Towards an International Data Commons for Crystallography Metadata Application Profile","status":"deprecated","contacts":[],"homepage":"http://wiki.ecrystals.chem.soton.ac.uk/index.php/Work_Package_4:_Repositories,_Preservation_and_Sustainability","citations":[],"identifier":208,"description":"TIDCC TMAP was a first attempt at constructing an over-arching AP for crystallography data which would facilitate the exchange of not only metadata, but also the data itself. However, following several meetings is has become apparent that a more effective way forward is to adapt the ICAT data model (a simpler version of the CSMD) and schema to cater for curatorial and preservation activities since ICAT is presently being used by a growing proportion of the science community for managing their data. In future this record may be deprecated in favor of ICAT.","abbreviation":"TIDCC TMAP","support_links":[{"url":"http://wiki.ecrystals.chem.soton.ac.uk/images/9/9d/ECrystals-WP4-PM-Final.pdf","name":"Preservation Metadata for Crystallography Data (Contains Spec)","type":"Help documentation"}],"year_creation":2009,"deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-001312","bsg-s001312"],"name":"FAIRsharing record for: Towards an International Data Commons for Crystallography Metadata Application Profile","abbreviation":"TIDCC TMAP","url":"https://fairsharing.org/fairsharing_records/208","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TIDCC TMAP was a first attempt at constructing an over-arching AP for crystallography data which would facilitate the exchange of not only metadata, but also the data itself. However, following several meetings is has become apparent that a more effective way forward is to adapt the ICAT data model (a simpler version of the CSMD) and schema to cater for curatorial and preservation activities since ICAT is presently being used by a growing proportion of the science community for managing their data. In future this record may be deprecated in favor of ICAT.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Chemistry","Materials Science"],"domains":["X-ray crystallography assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic (CC BY-NC-SA 2.5)","licence_id":181,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.5/","link_id":673,"relation":"undefined"}],"grants":[{"id":8997,"fairsharing_record_id":208,"organisation_id":3439,"relation":"associated_with","created_at":"2022-03-14T19:14:15.160Z","updated_at":"2022-03-14T19:14:15.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":3439,"name":"US National Institutes of Health Human BioMolecular Atlas Program (HuBMAP)","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8998,"fairsharing_record_id":208,"organisation_id":1954,"relation":"associated_with","created_at":"2022-03-14T19:14:15.195Z","updated_at":"2022-03-14T19:14:15.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8996,"fairsharing_record_id":208,"organisation_id":3438,"relation":"funds","created_at":"2022-03-14T19:14:14.771Z","updated_at":"2022-03-14T19:14:14.771Z","grant_id":1836,"is_lead":false,"saved_state":{"id":3438,"name":"US National Cancer Institute under the Human Tumor Atlas Network (HTAN)","grant":"HTAN Consortium and the Cancer Systems Biology Consortium (CSBC)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"209","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:01:57.647Z","metadata":{"doi":"10.25504/FAIRsharing.8tnnrs","name":"Vaccination Informed Consent Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/VICO-ontology/VICO","identifier":209,"description":"The Vaccination Informed Consent Ontology (VICO) is a community-driven ontology in the domain of vaccination/immunization informed consent. It extends the Informed Consent Ontology and integrates related OBO foundry ontologies, such as the Vaccine Ontology, with a focus on vaccination screening questionnaires in the vaccination informed consent domain. VICO could support a platform for vaccination informed consent data standardization, data integration, and data queries.","abbreviation":"VICO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VICO","name":"VICO","portal":"BioPortal"}]},"legacy_ids":["bsg-000956","bsg-s000956"],"name":"FAIRsharing record for: Vaccination Informed Consent Ontology","abbreviation":"VICO","url":"https://fairsharing.org/10.25504/FAIRsharing.8tnnrs","doi":"10.25504/FAIRsharing.8tnnrs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vaccination Informed Consent Ontology (VICO) is a community-driven ontology in the domain of vaccination/immunization informed consent. It extends the Informed Consent Ontology and integrates related OBO foundry ontologies, such as the Vaccine Ontology, with a focus on vaccination screening questionnaires in the vaccination informed consent domain. VICO could support a platform for vaccination informed consent data standardization, data integration, and data queries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Vaccine","Vaccination"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":250,"pubmed_id":27099700,"title":"VICO: Ontology-based representation and integrative analysis of Vaccination Informed Consent forms.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0062-4","authors":"Lin Y,Zheng J,He Y","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0062-4","created_at":"2021-09-30T08:22:47.006Z","updated_at":"2021-09-30T08:22:47.006Z"}],"licence_links":[],"grants":[{"id":5283,"fairsharing_record_id":209,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:21.526Z","updated_at":"2021-09-30T09:27:21.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"210","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:25:43.747Z","metadata":{"doi":"10.25504/FAIRsharing.cyv30a","name":"Terminological and Ontological Knowledge Resources Ontology","status":"ready","contacts":[{"contact_name":"Nizar Ghoula","contact_email":"Nizar.Ghoula@unige.ch"}],"homepage":"http://bioportal.bioontology.org/ontologies/TOK","identifier":210,"description":"An Ontology describing resources with different formats. This Ontology can be used to annotate and describe terminological / ontological knowledge resources.","abbreviation":"TOK","support_links":[{"url":"http://cui.unige.ch/isi/onto/tok/OWL_Doc/","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TOK","name":"TOK","portal":"BioPortal"}]},"legacy_ids":["bsg-002645","bsg-s002645"],"name":"FAIRsharing record for: Terminological and Ontological Knowledge Resources Ontology","abbreviation":"TOK","url":"https://fairsharing.org/10.25504/FAIRsharing.cyv30a","doi":"10.25504/FAIRsharing.cyv30a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An Ontology describing resources with different formats. This Ontology can be used to annotate and describe terminological / ontological knowledge resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Taxonomic classification"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2358,"pubmed_id":null,"title":"TOK: A meta-model and ontology for heterogenous terminological, linguistic and ontological knowledge resources","year":2010,"url":"https://ieeexplore.ieee.org/document/5616566","authors":"Nizar Ghoula, Gilles Falquet and Jacques Guyot","journal":"IEEE","doi":null,"created_at":"2021-09-30T08:26:49.861Z","updated_at":"2021-09-30T08:26:49.861Z"}],"licence_links":[],"grants":[{"id":5284,"fairsharing_record_id":210,"organisation_id":2863,"relation":"maintains","created_at":"2021-09-30T09:27:21.559Z","updated_at":"2021-09-30T09:27:21.559Z","grant_id":null,"is_lead":false,"saved_state":{"id":2863,"name":"TOK Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"211","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:11:56.907Z","metadata":{"doi":"10.25504/FAIRsharing.xs4ge6","name":"Brucellosis Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.phidias.us/bbp/idobru/index.php","identifier":211,"description":"The Brucellosis Ontology is an extension of the Infectious Disease Ontology. It is a biomedical ontology describing the zoonotic disease brucellosis that is caused by Brucella, a facultative intracellular bacterium. The ontology is intended as an aid in brucellosis-related data standardization and integration.","abbreviation":"IDOBRU","support_links":[{"url":"http://www.phidias.us/bbp/documents/faqs.php","name":"Brucella Bioinformatics Portal FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.phidias.us/bbp/documents/index.php","name":"Documentation","type":"Help documentation"},{"url":"https://sourceforge.net/projects/idobru/","name":"Sourceforge Project Page","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IDOBRU","name":"IDOBRU","portal":"BioPortal"}]},"legacy_ids":["bsg-002691","bsg-s002691"],"name":"FAIRsharing record for: Brucellosis Ontology","abbreviation":"IDOBRU","url":"https://fairsharing.org/10.25504/FAIRsharing.xs4ge6","doi":"10.25504/FAIRsharing.xs4ge6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Brucellosis Ontology is an extension of the Infectious Disease Ontology. It is a biomedical ontology describing the zoonotic disease brucellosis that is caused by Brucella, a facultative intracellular bacterium. The ontology is intended as an aid in brucellosis-related data standardization and integration.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Pathogen","Infection"],"taxonomies":["Brucella"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":689,"pubmed_id":22041276,"title":"Brucellosis Ontology (IDOBRU) as an extension of the Infectious Disease Ontology.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-9","authors":"Lin Y,Xiang Z,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-9","created_at":"2021-09-30T08:23:35.944Z","updated_at":"2021-09-30T08:23:35.944Z"}],"licence_links":[],"grants":[{"id":5285,"fairsharing_record_id":211,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:21.596Z","updated_at":"2021-09-30T09:27:21.596Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5286,"fairsharing_record_id":211,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:21.635Z","updated_at":"2021-09-30T09:30:30.649Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"231","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:07.386Z","metadata":{"doi":"10.25504/FAIRsharing.r3vtvx","name":"Ecological Metadata Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"eml-dev@ecoinformatics.org"}],"homepage":"https://eml.ecoinformatics.org/","citations":[],"identifier":231,"description":"The Ecological Metadata Language (EML) metadata standard was originally developed for the earth, environmental and ecological sciences. It is based on prior work done by the Ecological Society of America and associated efforts. It has been developed to document any research data, and as such can be used outside of these original subject areas. EML is implemented as a series of XML document types that can by used in a modular and extensible manner to document research data. Each EML module is designed to describe one logical part of the total metadata that should be included with any dataset.","abbreviation":"EML","support_links":[{"url":"http://github.com/NCEAS/eml/issues","name":"Issue Tracking / Bug Reports","type":"Github"},{"url":"https://github.com/NCEAS/eml","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/devoted-to-open-data-and-open-source-in-science-and-education","name":"Devoted to open data and open source in science and education.","type":"TeSS links to training materials"},{"url":"https://twitter.com/nceas","name":"@nceas","type":"Twitter"}]},"legacy_ids":["bsg-000552","bsg-s000552"],"name":"FAIRsharing record for: Ecological Metadata Language","abbreviation":"EML","url":"https://fairsharing.org/10.25504/FAIRsharing.r3vtvx","doi":"10.25504/FAIRsharing.r3vtvx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ecological Metadata Language (EML) metadata standard was originally developed for the earth, environmental and ecological sciences. It is based on prior work done by the Ecological Society of America and associated efforts. It has been developed to document any research data, and as such can be used outside of these original subject areas. EML is implemented as a series of XML document types that can by used in a modular and extensible manner to document research data. Each EML module is designed to describe one logical part of the total metadata that should be included with any dataset.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13904}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Ecology","Natural Science","Earth Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":643,"pubmed_id":null,"title":"Maximizing the Value of Ecological Data with Structured Metadata: An Introduction to Ecological Metadata Language (EML) and Principles for Metadata Creation","year":2005,"url":"http://doi.org/10.1890/0012-9623(2005)86[158:MTVOED]2.0.CO;2","authors":"Eric H. Fegraus, Sandy Andelman, Matthew B. Jones, and Mark Schildhauer","journal":"ESA Bulletin","doi":"10.1890/0012-9623(2005)86[158:MTVOED]2.0.CO;2","created_at":"2021-09-30T08:23:30.778Z","updated_at":"2021-09-30T08:23:30.778Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":2144,"relation":"undefined"}],"grants":[{"id":5329,"fairsharing_record_id":231,"organisation_id":652,"relation":"maintains","created_at":"2021-09-30T09:27:23.382Z","updated_at":"2021-09-30T09:27:23.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":652,"name":"DataONE, Santa Barbara, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5328,"fairsharing_record_id":231,"organisation_id":1961,"relation":"maintains","created_at":"2021-09-30T09:27:23.352Z","updated_at":"2021-09-30T09:27:23.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1961,"name":"National Center for Ecological Analysis and Synthesis (NCEAS), Santa Barbara, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5332,"fairsharing_record_id":231,"organisation_id":1643,"relation":"maintains","created_at":"2021-09-30T09:27:23.466Z","updated_at":"2021-09-30T09:27:23.466Z","grant_id":null,"is_lead":false,"saved_state":{"id":1643,"name":"Knowledge Network for Biocomplexity (KNB)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5330,"fairsharing_record_id":231,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:23.411Z","updated_at":"2021-09-30T09:31:25.959Z","grant_id":1166,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB99-80154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11531,"fairsharing_record_id":231,"organisation_id":1725,"relation":"maintains","created_at":"2024-03-21T13:58:07.184Z","updated_at":"2024-03-21T13:58:07.184Z","grant_id":null,"is_lead":false,"saved_state":{"id":1725,"name":"Long-Term Ecological Research Network","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcjBDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e24087733378b810fe2cc0c67d5715171149619b/eml-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"232","type":"fairsharing_records","attributes":{"created_at":"2019-09-03T20:40:12.000Z","updated_at":"2023-02-28T09:27:58.778Z","metadata":{"name":"GO FAIR Core Ontology","status":"in_development","contacts":[{"contact_name":"Robert Pergl","contact_email":"perglr@fit.cvut.cz","contact_orcid":"0000-0003-2980-4400"}],"homepage":"https://github.com/go-fair-ins/GO-FAIR-Ontology","identifier":232,"description":"GO FAIR Core Ontology's goal is to define key terms and their relations, independent on any implementation considerations, i.e. to provide ontological clarification. It is modelled using Unified Foundational Ontology (UFO) and the OntoUML language.","abbreviation":"GFCO","support_links":[{"url":"perglr@fit.cvut.cz","name":"Email","type":"Support email"},{"url":"https://github.com/go-fair-ins/GO-FAIR-Ontology/issues","name":"GitHub Issues","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://www.visual-paradigm.com/download/","name":"Visual Paradigm 16.0"}]},"legacy_ids":["bsg-001394","bsg-s001394"],"name":"FAIRsharing record for: GO FAIR Core Ontology","abbreviation":"GFCO","url":"https://fairsharing.org/fairsharing_records/232","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GO FAIR Core Ontology's goal is to define key terms and their relations, independent on any implementation considerations, i.e. to provide ontological clarification. It is modelled using Unified Foundational Ontology (UFO) and the OntoUML language.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Czech Republic","Italy","Netherlands"],"publications":[],"licence_links":[{"licence_name":"Synapse Apache 2.0","licence_id":766,"licence_url":"https://github.com/Sage-Bionetworks/Synapse-Repository-Services/blob/develop/LICENSE","link_id":1211,"relation":"undefined"}],"grants":[{"id":5335,"fairsharing_record_id":232,"organisation_id":1187,"relation":"maintains","created_at":"2021-09-30T09:27:23.639Z","updated_at":"2021-09-30T09:27:23.639Z","grant_id":null,"is_lead":false,"saved_state":{"id":1187,"name":"GO FAIR","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5334,"fairsharing_record_id":232,"organisation_id":634,"relation":"maintains","created_at":"2021-09-30T09:27:23.537Z","updated_at":"2021-09-30T09:27:23.537Z","grant_id":null,"is_lead":true,"saved_state":{"id":634,"name":"Centre of Conceptual Modelling and Implementation, Faculty of Information Technology, Czech Technical University in Prague","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":10381,"fairsharing_record_id":232,"organisation_id":3901,"relation":"collaborates_on","created_at":"2023-02-28T09:13:48.814Z","updated_at":"2023-02-28T09:13:48.814Z","grant_id":null,"is_lead":false,"saved_state":{"id":3901,"name":"GO FAIR Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}},{"id":10382,"fairsharing_record_id":232,"organisation_id":3902,"relation":"collaborates_on","created_at":"2023-02-28T09:13:48.819Z","updated_at":"2023-02-28T09:13:48.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":3902,"name":"Codevence","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":10380,"fairsharing_record_id":232,"organisation_id":3900,"relation":"maintains","created_at":"2023-02-27T11:43:06.097Z","updated_at":"2023-02-27T11:43:06.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":3900,"name":"Faculty of Information Technology, Czech Technical University in Prague","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5333,"fairsharing_record_id":232,"organisation_id":1055,"relation":"maintains","created_at":"2021-09-30T09:27:23.504Z","updated_at":"2021-09-30T09:27:23.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":1055,"name":"Faculty of Computer Science, Free University of Bozen-Bolzano","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"233","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.394Z","metadata":{"doi":"10.25504/FAIRsharing.mc998w","name":"Neomark Oral Cancer Ontology version 4","status":"uncertain","contacts":[{"contact_name":"Dario Salvi","contact_email":"dsalvi@lst.tfo.upm.es","contact_orcid":"0000-0002-9203-1124"}],"homepage":"http://bioportal.bioontology.org/ontologies/1686","identifier":233,"description":"An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","abbreviation":"NeoMark4","support_links":[{"url":"http://www.neomark.eu","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-002766","bsg-s002766"],"name":"FAIRsharing record for: Neomark Oral Cancer Ontology version 4","abbreviation":"NeoMark4","url":"https://fairsharing.org/10.25504/FAIRsharing.mc998w","doi":"10.25504/FAIRsharing.mc998w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that describes the medical information necessary for early detection of the oral cancer reoccurrence extracted from the NeoMark Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Oncology","Genomics","Proteomics","Biomedical Science"],"domains":["Biomarker","Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1789,"pubmed_id":22955869,"title":"Merging person-specific bio-markers for predicting oral cancer recurrence through an ontology.","year":2012,"url":"http://doi.org/10.1109/TBME.2012.2216879","authors":"Salvi D,Picone M,Arredondo MT,Cabrera-Umpierrez MF,Esteban A,Steger S,Poli T","journal":"IEEE Trans Biomed Eng","doi":"10.1109/TBME.2012.2216879","created_at":"2021-09-30T08:25:40.797Z","updated_at":"2021-09-30T08:25:40.797Z"}],"licence_links":[],"grants":[{"id":5336,"fairsharing_record_id":233,"organisation_id":2115,"relation":"maintains","created_at":"2021-09-30T09:27:23.671Z","updated_at":"2021-09-30T09:27:23.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":2115,"name":"NeoMark Ltd. Trademark Agency, Montreal, Canada","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"234","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:08:26.452Z","metadata":{"doi":"10.25504/FAIRsharing.dx30m8","name":"Emotion Ontology","status":"ready","contacts":[{"contact_name":"Janna Hastings","contact_email":"hastings@ebi.ac.uk","contact_orcid":"0000-0002-3469-4923"}],"homepage":"https://github.com/jannahastings/emotion-ontology","identifier":234,"description":"An ontology of affective phenomena such as emotions, moods, appraisals and subjective feelings, designed to support interdisciplinary research by providing unified annotations. The ontology is a domain specialisation of the broader Mental Functioning Ontology.","abbreviation":"MFOEM","support_links":[{"url":"https://code.google.com/archive/p/emotion-ontology/","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MFOEM","name":"MFOEM","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mfoem.html","name":"mfoem","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002753","bsg-s002753"],"name":"FAIRsharing record for: Emotion Ontology","abbreviation":"MFOEM","url":"https://fairsharing.org/10.25504/FAIRsharing.dx30m8","doi":"10.25504/FAIRsharing.dx30m8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of affective phenomena such as emotions, moods, appraisals and subjective feelings, designed to support interdisciplinary research by providing unified annotations. The ontology is a domain specialisation of the broader Mental Functioning Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Emotion","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1792,"pubmed_id":25937879,"title":"Evaluating the Emotion Ontology through use in the self-reporting of emotional responses at an academic conference.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-38","authors":"Hastings J,Brass A,Caine C,Jay C,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-38","created_at":"2021-09-30T08:25:41.172Z","updated_at":"2021-09-30T08:25:41.172Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1536,"relation":"undefined"}],"grants":[{"id":5338,"fairsharing_record_id":234,"organisation_id":2677,"relation":"maintains","created_at":"2021-09-30T09:27:23.736Z","updated_at":"2021-09-30T09:27:23.736Z","grant_id":null,"is_lead":false,"saved_state":{"id":2677,"name":"Swiss Center for Affective Science, University of Geneva, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5337,"fairsharing_record_id":234,"organisation_id":3025,"relation":"maintains","created_at":"2021-09-30T09:27:23.703Z","updated_at":"2021-09-30T09:27:23.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5339,"fairsharing_record_id":234,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:23.774Z","updated_at":"2021-09-30T09:28:54.999Z","grant_id":14,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/C536444/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7977,"fairsharing_record_id":234,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:30:12.651Z","updated_at":"2021-09-30T09:30:12.700Z","grant_id":600,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J014176/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"236","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.178Z","metadata":{"doi":"10.25504/FAIRsharing.q5tfhf","name":"BioActivity Ontology","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1684","identifier":236,"description":"There is currently no information avauilable on the BioActivity Ontology. Please contact us if you know more about this ontology.","abbreviation":"BIOA","deprecation_date":"2019-07-16","deprecation_reason":"Deprecated as no information is publicly available about this ontology."},"legacy_ids":["bsg-002765","bsg-s002765"],"name":"FAIRsharing record for: BioActivity Ontology","abbreviation":"BIOA","url":"https://fairsharing.org/10.25504/FAIRsharing.q5tfhf","doi":"10.25504/FAIRsharing.q5tfhf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: There is currently no information avauilable on the BioActivity Ontology. Please contact us if you know more about this ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Molecular entity","Bioactivity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"221","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.015Z","metadata":{"doi":"10.25504/FAIRsharing.rycy2x","name":"Adverse Event Reporting ontology","status":"deprecated","contacts":[{"contact_name":"Melanie Courtot","contact_email":"mcourtot@gmail.com","contact_orcid":"0000-0002-9551-6370"}],"homepage":"http://purl.obolibrary.org/obo/aero","identifier":221,"description":"The Adverse Event Reporting Ontology (AERO) is an ontology aimed at supporting clinicians at the time of data entry, increasing quality and accuracy of reported adverse events.","abbreviation":"AERO","support_links":[{"url":"https://groups.google.com/forum/#!forum/aero-devel","type":"Forum"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AERO","name":"AERO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/aero.html","name":"aero","portal":"OBO Foundry"}],"deprecation_date":"2018-05-17","deprecation_reason":"This resource has been deprecated by its developers."},"legacy_ids":["bsg-002710","bsg-s002710"],"name":"FAIRsharing record for: Adverse Event Reporting ontology","abbreviation":"AERO","url":"https://fairsharing.org/10.25504/FAIRsharing.rycy2x","doi":"10.25504/FAIRsharing.rycy2x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adverse Event Reporting Ontology (AERO) is an ontology aimed at supporting clinicians at the time of data entry, increasing quality and accuracy of reported adverse events.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12022},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12457}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science","Preclinical Studies"],"domains":["Electronic health record","Adverse Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1529,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1528,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"222","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T09:09:07.737Z","metadata":{"doi":"10.25504/FAIRsharing.8wm364","name":"Tick Gross Anatomy","status":"deprecated","contacts":[{"contact_name":"Daniel Sonenshine","contact_email":"dsonensh@odu.edu","contact_orcid":"0000-0001-9370-918X"}],"homepage":"https://www.vectorbase.org/ontology-types/tick-anatomy","citations":[],"identifier":222,"description":"This ontology covers all the terms relevant for the gross anatomy of the tick (family Ixodida).","abbreviation":"TADS","support_links":[{"url":"https://www.vectorbase.org/contact","name":"General contact","type":"Contact form"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TADS","name":"TADS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tads.html","name":"tads","portal":"OBO Foundry"}],"deprecation_date":"2022-03-21","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record. "},"legacy_ids":["bsg-000025","bsg-s000025"],"name":"FAIRsharing record for: Tick Gross Anatomy","abbreviation":"TADS","url":"https://fairsharing.org/10.25504/FAIRsharing.8wm364","doi":"10.25504/FAIRsharing.8wm364","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology covers all the terms relevant for the gross anatomy of the tick (family Ixodida).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Ixodida"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":2331,"pubmed_id":18237287,"title":"Anatomical ontologies of mosquitoes and ticks, and their web browsers in VectorBase.","year":2008,"url":"http://doi.org/10.1111/j.1365-2583.2008.00781.x","authors":"Topalis P,Tzavlaki C,Vestaki K,Dialynas E,Sonenshine DE,Butler R,Bruggner RV,Stinson EO,Collins FH,Louis C","journal":"Insect Mol Biol","doi":"10.1111/j.1365-2583.2008.00781.x","created_at":"2021-09-30T08:26:46.202Z","updated_at":"2021-09-30T08:26:46.202Z"}],"licence_links":[],"grants":[{"id":12023,"fairsharing_record_id":222,"organisation_id":4430,"relation":"associated_with","created_at":"2024-07-04T08:52:06.810Z","updated_at":"2024-07-04T08:52:06.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":4430,"name":"Foundation for Research and Technology Hellas","types":["Charitable foundation"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"223","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.657Z","metadata":{"doi":"10.25504/FAIRsharing.evzkcj","name":"PhenomeBLAST ontology","status":"uncertain","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://code.google.com/archive/p/phenomeblast/","identifier":223,"description":"PhenomeBLAST is an ontology-based tool that provides a practical implementation of cross-species alignments of phenotypes using ontologies. Both a command-line tool and a web-server are available.","abbreviation":"phenomeblast-owl","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHENOMEBLAST","name":"PHENOMEBLAST","portal":"BioPortal"}]},"legacy_ids":["bsg-002746","bsg-s002746"],"name":"FAIRsharing record for: PhenomeBLAST ontology","abbreviation":"phenomeblast-owl","url":"https://fairsharing.org/10.25504/FAIRsharing.evzkcj","doi":"10.25504/FAIRsharing.evzkcj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhenomeBLAST is an ontology-based tool that provides a practical implementation of cross-species alignments of phenotypes using ontologies. Both a command-line tool and a web-server are available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Molecular interaction","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1779,"pubmed_id":21737429,"title":"PhenomeNET: a whole-phenome approach to disease gene discovery.","year":2011,"url":"http://doi.org/10.1093/nar/gkr538","authors":"Hoehndorf R,Schofield PN,Gkoutos GV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr538","created_at":"2021-09-30T08:25:39.685Z","updated_at":"2021-09-30T11:29:20.728Z"},{"id":1793,"pubmed_id":22814867,"title":"Computational tools for comparative phenomics: the role and promise of ontologies.","year":2012,"url":"http://doi.org/10.1007/s00335-012-9404-4","authors":"Gkoutos GV,Schofield PN,Hoehndorf R","journal":"Mamm Genome","doi":"10.1007/s00335-012-9404-4","created_at":"2021-09-30T08:25:41.280Z","updated_at":"2021-09-30T08:25:41.280Z"}],"licence_links":[],"grants":[{"id":5318,"fairsharing_record_id":223,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:22.973Z","updated_at":"2021-09-30T09:27:22.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5321,"fairsharing_record_id":223,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:23.082Z","updated_at":"2021-09-30T09:27:23.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9143,"fairsharing_record_id":223,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.244Z","updated_at":"2022-04-11T12:07:17.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9254,"fairsharing_record_id":223,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.644Z","updated_at":"2022-04-11T12:07:25.644Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"224","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.211Z","metadata":{"doi":"10.25504/FAIRsharing.7s74s8","name":"Sleep Domain Ontology","status":"ready","contacts":[{"contact_name":"Sivaram Arabandi","contact_email":"sivaram.arabandi@gmail.com","contact_orcid":"0000-0002-2973-6228"}],"homepage":"http://bioportal.bioontology.org/ontologies/1651","identifier":224,"description":"An application ontology for the domain of Sleep Medicine.","abbreviation":"SDO","support_links":[{"url":"https://www.bioontology.org/sites/default/files/Developing%20an%20Application%20Ontology%20for%20Sleep%20Domain%20-%20NCBO%20Webinar%20-%20April%207%2C%202010.pdf","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-002741","bsg-s002741"],"name":"FAIRsharing record for: Sleep Domain Ontology","abbreviation":"SDO","url":"https://fairsharing.org/10.25504/FAIRsharing.7s74s8","doi":"10.25504/FAIRsharing.7s74s8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of Sleep Medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Health Science","Biomedical Science"],"domains":["Sleep","Phenotype","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"225","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.279Z","metadata":{"doi":"10.25504/FAIRsharing.s8nf87","name":"Quadrupedal Gait","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1657","identifier":225,"description":"\"Quadrupedal Gait\" is a standard that was, until recently, listed on BioPortal. The entry there has now been deleted and we have been unable to find any record of this standard. If you know more, please do not hesitate to contact us.","abbreviation":"CAMRQ","deprecation_date":"2021-09-30","deprecation_reason":"No information can be found on this record."},"legacy_ids":["bsg-002747","bsg-s002747"],"name":"FAIRsharing record for: Quadrupedal Gait","abbreviation":"CAMRQ","url":"https://fairsharing.org/10.25504/FAIRsharing.s8nf87","doi":"10.25504/FAIRsharing.s8nf87","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Quadrupedal Gait\" is a standard that was, until recently, listed on BioPortal. The entry there has now been deleted and we have been unable to find any record of this standard. If you know more, please do not hesitate to contact us.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"226","type":"fairsharing_records","attributes":{"created_at":"2018-10-04T10:52:09.000Z","updated_at":"2021-11-24T13:16:13.177Z","metadata":{"doi":"10.25504/FAIRsharing.f2658b","name":"Table Schema","status":"ready","homepage":"http://frictionlessdata.io/specs/table-schema/","identifier":226,"description":"Table Schema is a simple language- and implementation-agnostic way to declare a schema for tabular data. Table Schema is well suited for use cases around handling and validating tabular data in text formats such as CSV, but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format.","abbreviation":"Table Schema","support_links":[{"url":"https://discuss.okfn.org/c/frictionless-data","name":"Frictionless Data Forum","type":"Forum"},{"url":"http://frictionlessdata.io/data-packages/","name":"Data Packages Explained","type":"Help documentation"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/frictionlessdata/tableschema-js","name":"JavaScript library"},{"url":"https://github.com/frictionlessdata/tableschema-py","name":"Python library"}]},"legacy_ids":["bsg-001301","bsg-s001301"],"name":"FAIRsharing record for: Table Schema","abbreviation":"Table Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.f2658b","doi":"10.25504/FAIRsharing.f2658b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Table Schema is a simple language- and implementation-agnostic way to declare a schema for tabular data. Table Schema is well suited for use cases around handling and validating tabular data in text formats such as CSV, but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United Kingdom","Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1825,"relation":"undefined"}],"grants":[{"id":5322,"fairsharing_record_id":226,"organisation_id":1063,"relation":"maintains","created_at":"2021-09-30T09:27:23.124Z","updated_at":"2021-09-30T09:27:23.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":1063,"name":"Frictionless Data, Open Knowledge International, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"252","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:59.000Z","updated_at":"2022-07-20T12:34:25.942Z","metadata":{"doi":"10.25504/FAIRsharing.lXAOu2","name":"FAIR Maturity Indicator Gen2-MI-F2B","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_F2B.md","identifier":252,"description":"The FAIR Maturity Indicator Gen2-MI-F2B measures whether the metadata of the record contains \"structured\" elements that are \"grounded\" in shared vocabularies. For example, in one of the various forms of linked data (JSON-LD, RDFa, Turtle, etc.)","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001375","bsg-s001375"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-F2B","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.lXAOu2","doi":"10.25504/FAIRsharing.lXAOu2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-F2B measures whether the metadata of the record contains \"structured\" elements that are \"grounded\" in shared vocabularies. For example, in one of the various forms of linked data (JSON-LD, RDFa, Turtle, etc.)","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13167},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13208},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13228},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13258},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13274},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20169}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1486,"relation":"undefined"}],"grants":[{"id":5376,"fairsharing_record_id":252,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:25.178Z","updated_at":"2021-09-30T09:27:25.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5377,"fairsharing_record_id":252,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:25.259Z","updated_at":"2021-09-30T09:27:25.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5378,"fairsharing_record_id":252,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:25.297Z","updated_at":"2021-09-30T09:27:25.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5379,"fairsharing_record_id":252,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:25.329Z","updated_at":"2021-09-30T09:27:25.329Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"253","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:10.334Z","metadata":{"doi":"10.25504/FAIRsharing.xbvhg2","name":"Scalable Vector Graphics","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"www-svg@w3.org"}],"homepage":"http://www.w3.org/TR/SVG/","identifier":253,"description":"Scalable Vector Graphics (SVG) Version 1.1, a modularized language for describing two-dimensional vector and mixed vector/raster graphics in XML.","abbreviation":"SVG","support_links":[{"url":"https://en.wikipedia.org/wiki/Scalable_Vector_Graphics","type":"Wikipedia"}],"year_creation":1998},"legacy_ids":["bsg-000266","bsg-s000266"],"name":"FAIRsharing record for: Scalable Vector Graphics","abbreviation":"SVG","url":"https://fairsharing.org/10.25504/FAIRsharing.xbvhg2","doi":"10.25504/FAIRsharing.xbvhg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Scalable Vector Graphics (SVG) Version 1.1, a modularized language for describing two-dimensional vector and mixed vector/raster graphics in XML.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18266}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Graph","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5380,"fairsharing_record_id":253,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:25.362Z","updated_at":"2021-09-30T09:27:25.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"254","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.438Z","metadata":{"doi":"10.25504/FAIRsharing.sec0c9","name":"Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Osamu Ohara","contact_email":"oosamu@rcai.riken.jp"}],"homepage":"http://web16.kazusa.or.jp/rapid/","identifier":254,"description":"RAPID phenotype ontology presents controlled vocabulary of ontology class structures and entities of observed phenotypic terms for primary immunodeficiency diseases (PIDs) that facilitate global sharing and free exchange of PID data with users’ communities","abbreviation":"RAPID Phenotype Ontology","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RAPID","name":"RAPID","portal":"BioPortal"}]},"legacy_ids":["bsg-002828","bsg-s002828"],"name":"FAIRsharing record for: Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","abbreviation":"RAPID Phenotype Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.sec0c9","doi":"10.25504/FAIRsharing.sec0c9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RAPID phenotype ontology presents controlled vocabulary of ontology class structures and entities of observed phenotypic terms for primary immunodeficiency diseases (PIDs) that facilitate global sharing and free exchange of PID data with users’ communities","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1780,"pubmed_id":18842635,"title":"RAPID: Resource of Asian Primary Immunodeficiency Diseases.","year":2008,"url":"http://doi.org/10.1093/nar/gkn682","authors":"Keerthikumar S,Raju R,Kandasamy K,Hijikata A,Ramabadran S,Balakrishnan L,Ahmed M,Rani S,Selvan LD,Somanathan DS,Ray S,Bhattacharjee M,Gollapudi S,Ramachandra YL,Bhadra S,Bhattacharyya C,Imai K,Nonoyama S,Kanegane H,Miyawaki T,Pandey A,Ohara O,Mohan S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn682","created_at":"2021-09-30T08:25:39.793Z","updated_at":"2021-09-30T11:29:20.819Z"}],"licence_links":[],"grants":[{"id":5381,"fairsharing_record_id":254,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:27:25.421Z","updated_at":"2021-09-30T09:27:25.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"255","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:17.935Z","metadata":{"doi":"10.25504/FAIRsharing.np643r","name":"Guidelines for Information About Therapy Experiments","status":"ready","contacts":[{"contact_name":"Alejandra Gonzalez-Beltran","contact_email":"alejandra.gonzalez.beltran@gmail.com","contact_orcid":"0000-0003-3499-8262"}],"homepage":"http://www.antibodysociety.org/","identifier":255,"description":"Guidelines for Information About Therapy Experiments (GIATE)is a minimum information checklist creating a consistent framework to transparently report the purpose, methods and results of the therapeutic experiments.","abbreviation":"GIATE","year_creation":2011},"legacy_ids":["bsg-000163","bsg-s000163"],"name":"FAIRsharing record for: Guidelines for Information About Therapy Experiments","abbreviation":"GIATE","url":"https://fairsharing.org/10.25504/FAIRsharing.np643r","doi":"10.25504/FAIRsharing.np643r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Guidelines for Information About Therapy Experiments (GIATE)is a minimum information checklist creating a consistent framework to transparently report the purpose, methods and results of the therapeutic experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11581},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11980}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Cancer","Antibody","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":887,"pubmed_id":21473938,"title":"Establishing a knowledge trail from molecular experiments to clinical trials.","year":2011,"url":"http://doi.org/10.1016/j.nbt.2011.03.016","authors":"Yong MY,Gonzalez-Beltran A,Begent R","journal":"N Biotechnol","doi":"10.1016/j.nbt.2011.03.016","created_at":"2021-09-30T08:23:57.948Z","updated_at":"2021-09-30T08:23:57.948Z"},{"id":1069,"pubmed_id":19224941,"title":"Data standards for minimum information collection for antibody therapy experiments","year":2009,"url":"http://doi.org/10.1093/protein/gzp003","authors":"M. Yong, B. Tolner, S. Nagl, R.B. Pedly, K. Chester, A.J. Green, A. Mayer, S. Sharma, R. Begent.","journal":"Protein, Engineering, Design and Selection","doi":"10.1093/protein/gzp003","created_at":"2021-09-30T08:24:18.381Z","updated_at":"2021-09-30T08:24:18.381Z"},{"id":1070,"pubmed_id":21062155,"title":"Best use of experimental data in cancer informatics","year":2010,"url":"http://doi.org/10.2217/fon.10.108","authors":"M. Yong, R. Begent.","journal":"Future Oncology","doi":"10.2217/fon.10.108","created_at":"2021-09-30T08:24:18.491Z","updated_at":"2021-09-30T08:24:18.491Z"},{"id":1071,"pubmed_id":null,"title":"Meeting Report from the Second “Minimum Information for Biological and Biomedical Investigations” (MIBBI) workshop","year":2010,"url":"http://doi.org/10.4056/sigs.1473621","authors":"Carsten Kettner, Dawn Field, Susanna Sansone, Chris Taylor, Jan Aerts, Nigel Binns, Andrew Black, Cedrik M. Britten, Ario de Marco, Jennifer Fostel, Pascale Gaudet, Alejandra González-Beltrán, Nigel Hardy, Jan Hellmans, Hennin Hermjakob, Nick Juty, Jim Leebens-Mack, Eamonn Maguire, Steffen Neumann, Sandra Orchard, Helen Parkinson, William Piel, Shoba Ranganathan, Philippe Rocca-Serra, Annapaola Santarsiero, David Shotton, Peter Sterk, Andreas Untergasser, Patricia L. Whetzel","journal":"Standards in Genomic Sciences","doi":"10.4056/sigs.1473621","created_at":"2021-09-30T08:24:18.597Z","updated_at":"2021-09-30T11:28:31.823Z"},{"id":1806,"pubmed_id":22226027,"title":"Guidelines for information about therapy experiments: a proposal on best practice for recording experimental data on cancer therapy.","year":2012,"url":"http://doi.org/10.1186/1756-0500-5-10","authors":"Gonzalez-Beltran AN,Yong MY,Dancey G,Begent R","journal":"BMC Res Notes","doi":"10.1186/1756-0500-5-10","created_at":"2021-09-30T08:25:42.754Z","updated_at":"2021-09-30T08:25:42.754Z"}],"licence_links":[],"grants":[{"id":5384,"fairsharing_record_id":255,"organisation_id":2885,"relation":"funds","created_at":"2021-09-30T09:27:25.503Z","updated_at":"2021-09-30T09:27:25.503Z","grant_id":null,"is_lead":false,"saved_state":{"id":2885,"name":"UCL Experimental Cancer Medicine Centre (ECMC)","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5383,"fairsharing_record_id":255,"organisation_id":101,"relation":"maintains","created_at":"2021-09-30T09:27:25.478Z","updated_at":"2021-09-30T09:27:25.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":101,"name":"Antibody Society; GIATE working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5385,"fairsharing_record_id":255,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:25.573Z","updated_at":"2021-09-30T09:31:02.600Z","grant_id":990,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"G0802528","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"217","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:15:12.246Z","metadata":{"doi":"10.25504/FAIRsharing.gaegy8","name":"MIAME Notation in Markup Language","status":"ready","contacts":[{"contact_name":"GEO Administrators","contact_email":"geo@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/geo/info/MINiML.html","identifier":217,"description":"MINiML (MIAME Notation in Markup Language, pronounced 'minimal') is a data exchange format optimized for microarray gene expression data, as well as many other types of high-throughput molecular abundance data. MINiML assumes only very basic relations between objects: Platform (e.g., array), Sample (e.g., hybridization), and Series (experiment). MINiML captures all components of the MIAME checklist, as well as any additional information that the submitter wants to provide. MINiML uses XML Schema as syntax.","abbreviation":"MINiML","support_links":[{"url":"https://www.ncbi.nlm.nih.gov/geo/info/MINiML.html#guidelines","name":"Guidelines","type":"Help documentation"}]},"legacy_ids":["bsg-000076","bsg-s000076"],"name":"FAIRsharing record for: MIAME Notation in Markup Language","abbreviation":"MINiML","url":"https://fairsharing.org/10.25504/FAIRsharing.gaegy8","doi":"10.25504/FAIRsharing.gaegy8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINiML (MIAME Notation in Markup Language, pronounced 'minimal') is a data exchange format optimized for microarray gene expression data, as well as many other types of high-throughput molecular abundance data. MINiML assumes only very basic relations between objects: Platform (e.g., array), Sample (e.g., hybridization), and Series (experiment). MINiML captures all components of the MIAME checklist, as well as any additional information that the submitter wants to provide. MINiML uses XML Schema as syntax.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11191},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12407}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science"],"domains":["Expression data","Assay","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8728,"fairsharing_record_id":217,"organisation_id":1960,"relation":"maintains","created_at":"2022-01-18T14:36:02.275Z","updated_at":"2022-01-18T14:36:02.275Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":5307,"fairsharing_record_id":217,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:22.522Z","updated_at":"2021-09-30T09:27:22.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"218","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:16.936Z","metadata":{"doi":"10.25504/FAIRsharing.p6412v","name":"Epilepsy Ontology","status":"deprecated","contacts":[{"contact_name":"Antonio Dourado","contact_email":"dourado@dei.uc.pt","contact_orcid":"0000-0002-5445-6893"}],"homepage":"http://www.epilepsiae.eu/","citations":[],"identifier":218,"description":"Ontology about the epilepsy domain and epileptic seizures. Based on the diagnosis proposed by the International League Against Epilepsy (ILAE).","abbreviation":"Epilepsy Ontology","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EPILONT","name":"EPILONT","portal":"BioPortal"}],"deprecation_date":"2024-06-13","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002732","bsg-s002732"],"name":"FAIRsharing record for: Epilepsy Ontology","abbreviation":"Epilepsy Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.p6412v","doi":"10.25504/FAIRsharing.p6412v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology about the epilepsy domain and epileptic seizures. Based on the diagnosis proposed by the International League Against Epilepsy (ILAE).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Epilepsy","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Portugal"],"publications":[],"licence_links":[],"grants":[{"id":5308,"fairsharing_record_id":218,"organisation_id":480,"relation":"maintains","created_at":"2021-09-30T09:27:22.559Z","updated_at":"2021-09-30T09:27:22.559Z","grant_id":null,"is_lead":false,"saved_state":{"id":480,"name":"Centro de Informatica e Sistemas da Universidade de Coimbra (CISUC), Coimbra, Portugal","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"219","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:25:53.740Z","metadata":{"doi":"10.25504/FAIRsharing.kj3m5n","name":"Hymenoptera Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Andrew R Deans","contact_email":"andy_deans@ncsu.edu","contact_orcid":"0000-0002-2119-4663"}],"homepage":"http://portal.hymao.org/projects/32/public/ontology/","citations":[],"identifier":219,"description":"The Hymenoptera Anatomy Ontology is a structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, and ants)","abbreviation":"HAO","support_links":[{"url":"diapriid@gmail.com","type":"Support email"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HAO","name":"HAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/hao.html","name":"hao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000023","bsg-s000023"],"name":"FAIRsharing record for: Hymenoptera Anatomy Ontology","abbreviation":"HAO","url":"https://fairsharing.org/10.25504/FAIRsharing.kj3m5n","doi":"10.25504/FAIRsharing.kj3m5n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hymenoptera Anatomy Ontology is a structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, and ants)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Image"],"taxonomies":["Hymenoptera"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2,"pubmed_id":21209921,"title":"A gross anatomy ontology for hymenoptera.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0015991","authors":"Yoder MJ, Miko I, Seltmann KC, Bertone MA, Deans AR","journal":"PLoS ONE","doi":"10.1371/journal.pone.0015991","created_at":"2021-09-30T08:22:20.797Z","updated_at":"2021-09-30T08:22:20.797Z"}],"licence_links":[],"grants":[{"id":5309,"fairsharing_record_id":219,"organisation_id":1897,"relation":"maintains","created_at":"2021-09-30T09:27:22.592Z","updated_at":"2021-09-30T09:27:22.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1897,"name":"MorphBank, Tallahassee, FL, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5311,"fairsharing_record_id":219,"organisation_id":1294,"relation":"maintains","created_at":"2021-09-30T09:27:22.642Z","updated_at":"2021-09-30T09:27:22.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":1294,"name":"Hymenoptera Anatomy Ontology (HAO) administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5313,"fairsharing_record_id":219,"organisation_id":1521,"relation":"maintains","created_at":"2021-09-30T09:27:22.702Z","updated_at":"2021-09-30T09:27:22.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":1521,"name":"International Society of Hymenopterists (ISH)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5310,"fairsharing_record_id":219,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:22.617Z","updated_at":"2021-09-30T09:31:32.101Z","grant_id":1213,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0850223","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"220","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:33:28.121Z","metadata":{"doi":"10.25504/FAIRsharing.4g8mkg","name":"Health Indicators Ontology","status":"deprecated","contacts":[{"contact_name":"Anya Okhmatovskaia","contact_email":"okhmatovskaia@gmail.com"}],"homepage":"http://surveillance.mcgill.ca/wiki/Health%20Indicators%20Ontology","citations":[],"identifier":220,"description":"Health Indicators Ontology is an ontology of a number of health related indicator terms and description as well as health status classifications.","abbreviation":null,"year_creation":2004,"deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002711","bsg-s002711"],"name":"FAIRsharing record for: Health Indicators Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4g8mkg","doi":"10.25504/FAIRsharing.4g8mkg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Health Indicators Ontology is an ontology of a number of health related indicator terms and description as well as health status classifications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1037,"pubmed_id":16181619,"title":"A pilot ontological model of public health indicators.","year":2005,"url":"http://doi.org/10.1016/j.compbiomed.2005.07.003","authors":"Surjan G,Szilagyi E,Kovats T","journal":"Comput Biol Med","doi":"10.1016/j.compbiomed.2005.07.003","created_at":"2021-09-30T08:24:14.839Z","updated_at":"2021-09-30T08:24:14.839Z"}],"licence_links":[],"grants":[{"id":5315,"fairsharing_record_id":220,"organisation_id":2669,"relation":"maintains","created_at":"2021-09-30T09:27:22.778Z","updated_at":"2021-09-30T09:27:22.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":2669,"name":"Surveillance Lab, McGill University, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5314,"fairsharing_record_id":220,"organisation_id":28,"relation":"maintains","created_at":"2021-09-30T09:27:22.740Z","updated_at":"2021-09-30T09:27:22.740Z","grant_id":null,"is_lead":false,"saved_state":{"id":28,"name":"Adverse-Event-Reporting-Ontology (AERO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"227","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:31.968Z","metadata":{"doi":"10.25504/FAIRsharing.qz0rvm","name":"Variant Effect Predictor data format","status":"ready","contacts":[{"contact_name":"William McLaren","contact_email":"wm2@ebi.ac.uk","contact_orcid":"0000-0001-6218-1116"}],"homepage":"http://www.ensembl.org/info/docs/tools/vep/vep_formats.html","identifier":227,"description":"A text format devised by Ensembl for the eponymous Variant Effect Predictor tool.","abbreviation":"VEP","support_links":[{"url":"http://www.ensembl.org/info/docs/tools/vep/vep_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://tess.elixir-europe.org/materials/ensembl-variant-effect-predictor-vep-webinar","name":"Ensembl variant effect predictor vep webinar","type":"TeSS links to training materials"}]},"legacy_ids":["bsg-000531","bsg-s000531"],"name":"FAIRsharing record for: Variant Effect Predictor data format","abbreviation":"VEP","url":"https://fairsharing.org/10.25504/FAIRsharing.qz0rvm","doi":"10.25504/FAIRsharing.qz0rvm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A text format devised by Ensembl for the eponymous Variant Effect Predictor tool.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":197,"pubmed_id":27268795,"title":"The Ensembl Variant Effect Predictor.","year":2016,"url":"http://doi.org/10.1186/s13059-016-0974-4","authors":"McLaren W,Gil L,Hunt SE,Riat HS,Ritchie GR,Thormann A,Flicek P,Cunningham F","journal":"Genome Biol","doi":"10.1186/s13059-016-0974-4","created_at":"2021-09-30T08:22:41.589Z","updated_at":"2021-09-30T08:22:41.589Z"}],"licence_links":[],"grants":[{"id":5323,"fairsharing_record_id":227,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:23.165Z","updated_at":"2021-09-30T09:29:06.615Z","grant_id":97,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5324,"fairsharing_record_id":227,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:23.203Z","updated_at":"2021-09-30T09:27:23.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5325,"fairsharing_record_id":227,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:23.241Z","updated_at":"2021-09-30T09:29:49.966Z","grant_id":425,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8096,"fairsharing_record_id":227,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:56.313Z","updated_at":"2021-09-30T09:30:56.361Z","grant_id":943,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"222664","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8475,"fairsharing_record_id":227,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:49.307Z","updated_at":"2021-09-30T09:32:49.344Z","grant_id":1791,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT095908","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"229","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:32.105Z","metadata":{"doi":"10.25504/FAIRsharing.jgbxr","name":"Tox Biology Checklist","status":"uncertain","contacts":[{"contact_name":"Jennifer Fostel","contact_email":"fostel@niehs.nih.gov"}],"homepage":"http://mibbi.sf.net/projects/TBC.shtml","identifier":229,"description":"The Tox Biology Checklist was created to describe information that should be included with data derived from a biological study. The exact details of the checklist information depend on the study design and the nature of the subjects used in the study. In broad terms, this checklist recognizes that study data can be best interpreted in context of the subject characteristics, the conditions used to treat or collect the subjects, the conditions of care and disposition, and the timeline of study execution. Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked its status as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"TBC","year_creation":2007},"legacy_ids":["bsg-000193","bsg-s000193"],"name":"FAIRsharing record for: Tox Biology Checklist","abbreviation":"TBC","url":"https://fairsharing.org/10.25504/FAIRsharing.jgbxr","doi":"10.25504/FAIRsharing.jgbxr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Tox Biology Checklist was created to describe information that should be included with data derived from a biological study. The exact details of the checklist information depend on the study design and the nature of the subjects used in the study. In broad terms, this checklist recognizes that study data can be best interpreted in context of the subject characteristics, the conditions used to treat or collect the subjects, the conditions of care and disposition, and the timeline of study execution. Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked its status as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11603},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12089},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16656}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicology","Life Science"],"domains":["Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":882,"pubmed_id":17442663,"title":"Toward a checklist for exchange and interpretation of data from a toxicology study.","year":2007,"url":"http://doi.org/10.1093/toxsci/kfm090","authors":"Fostel JM,Burgoon L,Zwickl C,Lord P,Corton JC,Bushel PR,Cunningham M,Fan L,Edwards SW,Hester S,Stevens J,Tong W,Waters M,Yang C,Tennant R","journal":"Toxicol Sci","doi":"10.1093/toxsci/kfm090","created_at":"2021-09-30T08:23:57.354Z","updated_at":"2021-09-30T08:23:57.354Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"230","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T10:12:20.271Z","metadata":{"doi":"10.25504/FAIRsharing.66q7yz","name":"Web-Service Interaction Ontology","status":"ready","contacts":[{"contact_name":"Matus Kalas","contact_email":"matus.kalas@uib.no"}],"homepage":"http://wsio.org/","identifier":230,"description":"Web Service Interaction Ontology (WSIO) enables automated interaction with more complex Web services that are typical for example within life sciences. WSIO is however independent of the application domain and relevant for both SOAP and REST Web services, and for batch execution engines in general.","abbreviation":"WSIO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WSIO","name":"WSIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002729","bsg-s002729"],"name":"FAIRsharing record for: Web-Service Interaction Ontology","abbreviation":"WSIO","url":"https://fairsharing.org/10.25504/FAIRsharing.66q7yz","doi":"10.25504/FAIRsharing.66q7yz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Web Service Interaction Ontology (WSIO) enables automated interaction with more complex Web services that are typical for example within life sciences. WSIO is however independent of the application domain and relevant for both SOAP and REST Web services, and for batch execution engines in general.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[],"grants":[{"id":12026,"fairsharing_record_id":230,"organisation_id":4432,"relation":"maintains","created_at":"2024-07-04T09:58:56.206Z","updated_at":"2024-07-04T09:58:56.206Z","grant_id":null,"is_lead":true,"saved_state":{"id":4432,"name":"University of Bergen, Department of Informatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"238","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:47:53.306Z","metadata":{"doi":"10.25504/FAIRsharing.6bc7h9","name":"Sequence Ontology","status":"ready","contacts":[{"contact_name":"Karen Eilbeck","contact_email":"keilbeck@fruitfly.org","contact_orcid":"0000-0002-0831-6427"}],"homepage":"http://www.sequenceontology.org/","citations":[{"doi":"10.1186/gb-2005-6-5-r44","pubmed_id":15892872,"publication_id":575}],"identifier":238,"description":"SO is a collaborative ontology project for the definition of sequence features used in biological sequence annotation. The Sequence Ontology is a set of terms and relationships used to describe the features and attributes of biological sequence. SO includes different kinds of features which can be located on the sequence.","abbreviation":"SO","support_links":[{"url":"https://github.com/The-Sequence-Ontology/SO-Ontologies/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"song-devel@lists.sourceforge.net","name":"SO Mailing list","type":"Mailing list"},{"url":"http://www.sequenceontology.org/so_wiki/index.php/Main_Page","name":"SO Wiki Pages","type":"Help documentation"},{"url":"https://github.com/The-Sequence-Ontology/SO-Ontologies","name":"GitHub Repository","type":"Github"}],"year_creation":2004,"associated_tools":[{"url":"https://github.com/The-Sequence-Ontology/GAL","name":"Genome Annotation Library 0.01"},{"url":"https://github.com/The-Sequence-Ontology/SOBA","name":"Sequence Ontology Bioinformatics Analysis"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SO","name":"SO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/so.html","name":"so","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000046","bsg-s000046"],"name":"FAIRsharing record for: Sequence Ontology","abbreviation":"SO","url":"https://fairsharing.org/10.25504/FAIRsharing.6bc7h9","doi":"10.25504/FAIRsharing.6bc7h9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SO is a collaborative ontology project for the definition of sequence features used in biological sequence annotation. The Sequence Ontology is a set of terms and relationships used to describe the features and attributes of biological sequence. SO includes different kinds of features which can be located on the sequence.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10866},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11139},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11923},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16745}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Life Science","Biology"],"domains":["Sequence annotation","Deoxyribonucleic acid","Ribonucleic acid","Sequence","Sequence feature","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":432,"pubmed_id":20796305,"title":"A standard variation file format for human genome sequences.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-8-r88","authors":"Reese MG, Moore B, Batchelor C, Salas F, Cunningham F, Marth GT, Stein L, Flicek P, Yandell M, Eilbeck K.","journal":"Genome Biol.","doi":"10.1186/gb-2010-11-8-r88","created_at":"2021-09-30T08:23:06.983Z","updated_at":"2021-09-30T08:23:06.983Z"},{"id":575,"pubmed_id":15892872,"title":"The Sequence Ontology: a tool for the unification of genome annotations.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r44","authors":"Eilbeck K, Lewis SE, Mungall CJ, Yandell M, Stein L, Durbin R, Ashburner M.","journal":"Genome Biology","doi":"10.1186/gb-2005-6-5-r44","created_at":"2021-09-30T08:23:22.943Z","updated_at":"2021-09-30T08:23:22.943Z"},{"id":578,"pubmed_id":20226267,"title":"Evolution of the Sequence Ontology terms and relationships.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.03.002","authors":"Mungall CJ, Batchelor C, Eilbeck K.","journal":"J Biomed Inform.","doi":"10.1016/j.jbi.2010.03.002","created_at":"2021-09-30T08:23:23.252Z","updated_at":"2021-09-30T08:23:23.252Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1838,"relation":"undefined"}],"grants":[{"id":5343,"fairsharing_record_id":238,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:23.937Z","updated_at":"2021-09-30T09:27:23.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5344,"fairsharing_record_id":238,"organisation_id":2548,"relation":"maintains","created_at":"2021-09-30T09:27:23.970Z","updated_at":"2021-09-30T09:27:23.970Z","grant_id":null,"is_lead":true,"saved_state":{"id":2548,"name":"Sequence Ontology Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5345,"fairsharing_record_id":238,"organisation_id":718,"relation":"maintains","created_at":"2021-09-30T09:27:23.993Z","updated_at":"2021-09-30T09:27:23.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":718,"name":"Department of Human Genetics, University of Utah, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5346,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:24.023Z","updated_at":"2021-09-30T09:28:53.959Z","grant_id":6,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5R01HG004341","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7982,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:30:15.236Z","updated_at":"2021-09-30T09:30:15.327Z","grant_id":623,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"P41HG002273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8191,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:25.589Z","updated_at":"2021-09-30T09:31:25.644Z","grant_id":1164,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"2R44HG002991","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8286,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:54.539Z","updated_at":"2021-09-30T09:31:54.586Z","grant_id":1381,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1RC2HG005619","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8311,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:01.521Z","updated_at":"2021-09-30T09:32:01.574Z","grant_id":1433,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG004341","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8322,"fairsharing_record_id":238,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:04.933Z","updated_at":"2021-09-30T09:32:05.023Z","grant_id":1460,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"2R44HG003667","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"237","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:00:49.860Z","metadata":{"doi":"10.25504/FAIRsharing.3ngg40","name":"Plant Ontology","status":"ready","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu","contact_orcid":"0000-0002-1005-8383"}],"homepage":"http://plantontology.org/","identifier":237,"description":"The Plant Ontology is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. The PO is under active development to expand to encompass terms and annotations from all plants.","abbreviation":"PO","support_links":[{"url":"http://planteome.org/contact","name":"Contact Planteome / PO","type":"Contact form"},{"url":"https://github.com/Planteome/plant-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://planteome.org/documents","name":"Planteome Documents","type":"Help documentation"},{"url":"https://github.com/Planteome/plant-ontology","name":"GitHub Repository","type":"Github"},{"url":"http://wiki.plantontology.org/index.php/Main_Page","name":"Plant Ontology Wiki","type":"Help documentation"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PO","name":"PO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/po.html","name":"po","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000029","bsg-s000029"],"name":"FAIRsharing record for: Plant Ontology","abbreviation":"PO","url":"https://fairsharing.org/10.25504/FAIRsharing.3ngg40","doi":"10.25504/FAIRsharing.3ngg40","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Ontology is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data. The PO is under active development to expand to encompass terms and annotations from all plants.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17574},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14550}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science","Plant Anatomy"],"domains":["Expression data","Plant development stage","Life cycle"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":968,"pubmed_id":18629207,"title":"Plant Ontology (PO): a Controlled Vocabulary of Plant Structures and Growth Stages.","year":2008,"url":"http://doi.org/10.1002/cfg.496","authors":"Jaiswal P,Avraham S,Ilic K,Kellogg EA,McCouch S,Pujar A,Reiser L,Rhee SY,Sachs MM,Schaeffer M,Stein L,Stevens P,Vincent L,Ware D,Zapata F","journal":"Comp Funct Genomics","doi":"10.1002/cfg.496","created_at":"2021-09-30T08:24:07.096Z","updated_at":"2021-09-30T08:24:07.096Z"},{"id":982,"pubmed_id":18628842,"title":"The Plant Ontology Consortium and plant ontologies.","year":2008,"url":"http://doi.org/10.1002/cfg.154","authors":"The Plant Ontology Consortium","journal":"Comp Funct Genomics","doi":"10.1002/cfg.154","created_at":"2021-09-30T08:24:08.646Z","updated_at":"2021-09-30T11:28:31.505Z"},{"id":1161,"pubmed_id":26519402,"title":"The Plant Ontology: A Tool for Plant Genomics.","year":2015,"url":"http://doi.org/10.1007/978-1-4939-3167-5_5","authors":"Cooper L,Jaiswal P","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-3167-5_5","created_at":"2021-09-30T08:24:29.098Z","updated_at":"2021-09-30T08:24:29.098Z"},{"id":1695,"pubmed_id":23220694,"title":"The plant ontology as a tool for comparative plant anatomy and genomic analyses.","year":2012,"url":"http://doi.org/10.1093/pcp/pcs163","authors":"Cooper L,Walls RL,Elser J,Gandolfo MA,Stevenson DW,Smith B,Preece J,Athreya B,Mungall CJ,Rensing S,Hiss M,Lang D,Reski R,Berardini TZ,Li D,Huala E,Schaeffer M,Menda N,Arnaud E,Shrestha R,Yamazaki Y,Jaiswal P","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcs163","created_at":"2021-09-30T08:25:29.995Z","updated_at":"2021-09-30T08:25:29.995Z"},{"id":1809,"pubmed_id":18194960,"title":"The Plant Ontology Database: a community resource for plant structure and developmental stages controlled vocabulary and annotations.","year":2008,"url":"http://doi.org/10.1093/nar/gkm908","authors":"Avraham S,Tung CW,Ilic K,Jaiswal P,Kellogg EA,McCouch S,Pujar A,Reiser L,Rhee SY,Sachs MM,Schaeffer M,Stein L,Stevens P,Vincent L,Zapata F,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm908","created_at":"2021-09-30T08:25:43.061Z","updated_at":"2021-09-30T11:29:21.185Z"},{"id":2168,"pubmed_id":25562316,"title":"Finding our way through phenotypes.","year":2015,"url":"http://doi.org/10.1371/journal.pbio.1002033","authors":"Deans AR,Lewis SE,Huala E,Anzaldo SS,Ashburner M,Balhoff JP,Blackburn DC,Blake JA,Burleigh JG,Chanet B,Cooper LD,Courtot M,Csosz S,Cui H,Dahdul W,Das S,Dececchi TA,Dettai A,Diogo R,Druzinsky RE,Dumontier M,Franz NM,Friedrich F,Gkoutos GV,Haendel M,Harmon LJ,Hayamizu TF,He Y,Hines HM,Ibrahim N,Jackson LM,Jaiswal P,James-Zorn C,Kohler S,Lecointre G,Lapp H,Lawrence CJ,Le Novere N,Lundberg JG,Macklin J,Mast AR,Midford PE,Miko I,Mungall CJ,Oellrich A,Osumi-Sutherland D,Parkinson H,Ramirez MJ,Richter S,Robinson PN,Ruttenberg A,Schulz KS,Segerdell E,Seltmann KC,Sharkey MJ,Smith AD,Smith B,Specht CD,Squires RB,Thacker RW,Thessen A,Fernandez-Triana J,Vihinen M,Vize PD,Vogt L,Wall CE,Walls RL,Westerfeld M,Wharton RA,Wirkner CS,Woolley JB,Yoder MJ,Zorn AM,Mabee P","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1002033","created_at":"2021-09-30T08:26:24.351Z","updated_at":"2021-09-30T08:26:24.351Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1664,"relation":"undefined"}],"grants":[{"id":5342,"fairsharing_record_id":237,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:23.899Z","updated_at":"2021-09-30T09:30:01.096Z","grant_id":515,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0822201","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5340,"fairsharing_record_id":237,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:27:23.816Z","updated_at":"2021-09-30T09:27:23.816Z","grant_id":null,"is_lead":true,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5341,"fairsharing_record_id":237,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:27:23.858Z","updated_at":"2021-09-30T09:27:23.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"403","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T15:34:16.000Z","updated_at":"2023-10-03T09:53:49.265Z","metadata":{"doi":"10.25504/FAIRsharing.x8rkjt","name":"MIAPE: Column Chromatography","status":"ready","contacts":[{"contact_name":"Andrew R Jones","contact_email":"andrew.jones@liv.ac.uk"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":403,"description":"MIAPE - Column Chromatography (MIAPE-CC) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CC module is the result of work carried out through the Sample Processing Workgroup of the Proteome Standards Initiative. It has been designed to specify a minimal set of information to document a column chromatography experiment.","abbreviation":"MIAPE-CC","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2009},"legacy_ids":["bsg-000611","bsg-s000611"],"name":"FAIRsharing record for: MIAPE: Column Chromatography","abbreviation":"MIAPE-CC","url":"https://fairsharing.org/10.25504/FAIRsharing.x8rkjt","doi":"10.25504/FAIRsharing.x8rkjt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAPE - Column Chromatography (MIAPE-CC) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CC module is the result of work carried out through the Sample Processing Workgroup of the Proteome Standards Initiative. It has been designed to specify a minimal set of information to document a column chromatography experiment.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11447},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12074}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Chromatography","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United Kingdom","United States"],"publications":[{"id":1294,"pubmed_id":20622829,"title":"Guidelines for reporting the use of column chromatography in proteomics.","year":2010,"url":"http://doi.org/10.1038/nbt0710-654a","authors":"Jones AR,Carroll K,Knight D,Maclellan K,Domann PJ,Legido-Quigley C,Huang L,Smallshaw L,Mirzaei H,Shofstahl J,Paton NW","journal":"Nat Biotechnol","doi":"10.1038/nbt0710-654a","created_at":"2021-09-30T08:24:44.417Z","updated_at":"2021-09-30T08:24:44.417Z"}],"licence_links":[],"grants":[{"id":5606,"fairsharing_record_id":403,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:33.242Z","updated_at":"2023-10-03T09:37:23.572Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1FEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ffad1ffec894551300a0430aeb18e83818ab815f/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"404","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:53:22.122Z","metadata":{"doi":"10.25504/FAIRsharing.wkhxc8","name":"Predictive Model Markup Language","status":"ready","contacts":[{"contact_name":"Support","contact_email":"info@dmg.org"}],"homepage":"http://www.dmg.org/v4-2-1/GeneralStructure.html","citations":[],"identifier":404,"description":"PMML (Predictive Model Markup Language) uses XML to represent data mining models. The structure of the models is described by an XML Schema. One or more mining models can be contained in a PMML document. A PMML document is an XML document with a root element of type PMML.","abbreviation":"PMML","support_links":[{"url":"http://www.dmg.org/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://sourceforge.net/p/pmml/discussion/187860/","type":"Forum"},{"url":"pmml-news@lists.sourceforge.net","type":"Mailing list"},{"url":"https://en.wikipedia.org/wiki/Predictive_Model_Markup_Language","type":"Wikipedia"},{"url":"https://twitter.com/DMG_Standards","type":"Twitter"}],"year_creation":1997},"legacy_ids":["bsg-000569","bsg-s000569"],"name":"FAIRsharing record for: Predictive Model Markup Language","abbreviation":"PMML","url":"https://fairsharing.org/10.25504/FAIRsharing.wkhxc8","doi":"10.25504/FAIRsharing.wkhxc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PMML (Predictive Model Markup Language) uses XML to represent data mining models. The structure of the models is described by an XML Schema. One or more mining models can be contained in a PMML document. A PMML document is an XML document with a root element of type PMML.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16905}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Mining"],"domains":["Computational biological predictions"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5607,"fairsharing_record_id":404,"organisation_id":651,"relation":"maintains","created_at":"2021-09-30T09:27:33.272Z","updated_at":"2021-09-30T09:27:33.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":651,"name":"Data Mining Group, Illinois, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"405","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2024-02-01T11:36:21.034Z","metadata":{"doi":"10.25504/FAIRsharing.9y3gv0","name":"Enzyme Structure Function Ontology","status":"deprecated","contacts":[{"contact_name":"Shoshana Brown","contact_email":"sfld-help@cgl.ucsf.edu"}],"homepage":"http://sfld.rbvi.ucsf.edu/archive/django/index.html","citations":[{"doi":"10.1093/database/bax006","pubmed_id":28365730,"publication_id":646}],"identifier":405,"description":"The ESFO provides a new paradigm for organizing enzyme sequence, structure, and function information, whereby specific elements of enzyme sequence and structure are mapped to specific conserved aspects of function, thus facilitating the functional annotation of uncharacterized enzymes. The ESFO helps prevent misannotation by emphasizing annotation of enzymes only at the level of functional granularity warranted by available information. The archive is a static snapshot of the data in the SFLD as of April 2019, and will not be updated","abbreviation":"ESFO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ESFO","name":"ESFO","portal":"BioPortal"}],"deprecation_date":"2024-02-01","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-001061","bsg-s001061"],"name":"FAIRsharing record for: Enzyme Structure Function Ontology","abbreviation":"ESFO","url":"https://fairsharing.org/10.25504/FAIRsharing.9y3gv0","doi":"10.25504/FAIRsharing.9y3gv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ESFO provides a new paradigm for organizing enzyme sequence, structure, and function information, whereby specific elements of enzyme sequence and structure are mapped to specific conserved aspects of function, thus facilitating the functional annotation of uncharacterized enzymes. The ESFO helps prevent misannotation by emphasizing annotation of enzymes only at the level of functional granularity warranted by available information. The archive is a static snapshot of the data in the SFLD as of April 2019, and will not be updated","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12530}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Enzymology","Life Science"],"domains":["Molecular structure","Protein structure","DNA sequence data","Annotation","Function analysis","Enzyme","Sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":646,"pubmed_id":28365730,"title":"Biocuration in the structure-function linkage database: the anatomy of a superfamily.","year":2017,"url":"http://doi.org/10.1093/database/bax006","authors":"Holliday GL,Brown SD,Akiva E,Mischel D,Hicks MA,Morris JH,Huang CC,Meng EC,Pegg SC,Ferrin TE,Babbitt PC","journal":"Database (Oxford)","doi":"10.1093/database/bax006","created_at":"2021-09-30T08:23:31.104Z","updated_at":"2021-09-30T08:23:31.104Z"}],"licence_links":[],"grants":[{"id":5611,"fairsharing_record_id":405,"organisation_id":1159,"relation":"maintains","created_at":"2021-09-30T09:27:33.410Z","updated_at":"2021-09-30T09:27:33.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":1159,"name":"Gladstone Institutes","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5608,"fairsharing_record_id":405,"organisation_id":1280,"relation":"maintains","created_at":"2021-09-30T09:27:33.296Z","updated_at":"2021-09-30T09:27:33.296Z","grant_id":null,"is_lead":false,"saved_state":{"id":1280,"name":"Human Longevity, Inc, San Diego, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5609,"fairsharing_record_id":405,"organisation_id":734,"relation":"maintains","created_at":"2021-09-30T09:27:33.326Z","updated_at":"2021-09-30T09:27:33.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":734,"name":"Department of Pharmaceutical Chemistry, School of Pharmacy, University of California, San Francisco, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5610,"fairsharing_record_id":405,"organisation_id":342,"relation":"maintains","created_at":"2021-09-30T09:27:33.368Z","updated_at":"2021-09-30T09:27:33.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":342,"name":"California Institute for Quantitative Biosciences, University of California, San Francisco, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5612,"fairsharing_record_id":405,"organisation_id":669,"relation":"maintains","created_at":"2021-09-30T09:27:33.449Z","updated_at":"2021-09-30T09:27:33.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":669,"name":"Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"407","type":"fairsharing_records","attributes":{"created_at":"2020-02-04T12:37:42.000Z","updated_at":"2022-07-20T11:59:47.557Z","metadata":{"doi":"10.25504/FAIRsharing.d5ff6e","name":"Sustainable Development Goals Interface Ontology","status":"ready","contacts":[{"contact_name":"Pier Luigi Buttigieg","contact_email":"pier.buttigieg@awi.de","contact_orcid":"0000-0002-4366-3088"}],"homepage":"https://github.com/SDG-InterfaceOntology/sdgio","identifier":407,"description":"The Sustainable Development Goals Interface Ontology (SDGIO) aims to provide a semantic bridge between 1) the Sustainable Development Goals, their targets, and indicators and 2) the large array of entities they refer to. SDGIO will reuse existing ontologies where appropriate.","abbreviation":"SDGIO","support_links":[{"url":"https://github.com/SDG-InterfaceOntology/sdgio/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/SDG-InterfaceOntology/sdgio/wiki","name":"GitHub Wiki","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001448","bsg-s001448"],"name":"FAIRsharing record for: Sustainable Development Goals Interface Ontology","abbreviation":"SDGIO","url":"https://fairsharing.org/10.25504/FAIRsharing.d5ff6e","doi":"10.25504/FAIRsharing.d5ff6e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sustainable Development Goals Interface Ontology (SDGIO) aims to provide a semantic bridge between 1) the Sustainable Development Goals, their targets, and indicators and 2) the large array of entities they refer to. SDGIO will reuse existing ontologies where appropriate.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science"],"domains":["Sustainability"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":894,"pubmed_id":27664130,"title":"The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0097-6","authors":"Buttigieg PL,Pafilis E,Lewis SE,Schildhauer MP,Walls RL,Mungall CJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0097-6","created_at":"2021-09-30T08:23:58.796Z","updated_at":"2021-09-30T08:23:58.796Z"}],"licence_links":[],"grants":[{"id":5613,"fairsharing_record_id":407,"organisation_id":56,"relation":"maintains","created_at":"2021-09-30T09:27:33.485Z","updated_at":"2021-09-30T09:27:33.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5614,"fairsharing_record_id":407,"organisation_id":2926,"relation":"funds","created_at":"2021-09-30T09:27:33.527Z","updated_at":"2021-09-30T09:27:33.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":2926,"name":"United Nations Environment Programme","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"408","type":"fairsharing_records","attributes":{"created_at":"2021-01-31T20:16:55.000Z","updated_at":"2024-03-05T11:56:55.876Z","metadata":{"doi":"10.25504/FAIRsharing.f3efcf","name":"proteomics BAM","status":"ready","contacts":[{"contact_name":"Juan Antonio Vizcaino","contact_email":"juan@ebi.ac.uk"}],"homepage":"http://www.psidev.info/proBAM","citations":[{"doi":"10.1186/s13059-017-1377-x","pubmed_id":29386051,"publication_id":86}],"identifier":408,"description":"The proteomics BAM (proBAM) file format is designed for storing and analyzing peptide spectrum matches (PSMs) within the context of the genome. proBAM is built upon the SAM format and its compressed binary version, BAM, with necessary modifications to accommodate information specific to proteomics data such as PSM scores and confidence, charge states and peptide level modifications, both artefactual and PTMs (post-translational modifications).","abbreviation":"proBAM","support_links":[{"url":"Gerben.Menschaert@UGent.be","name":"Gerben Menschaert","type":"Support email"},{"url":"https://drive.google.com/drive/folders/0B3XI4MHq2yQpc1ZVSkpJa3I2Mmc","name":"Examples of Use","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"http://probam.biobix.be/","name":"proBAMconvert"},{"url":"http://proteogenomics.zhang-lab.org/","name":"proBAMsuite"}]},"legacy_ids":["bsg-001587","bsg-s001587"],"name":"FAIRsharing record for: proteomics BAM","abbreviation":"proBAM","url":"https://fairsharing.org/10.25504/FAIRsharing.f3efcf","doi":"10.25504/FAIRsharing.f3efcf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The proteomics BAM (proBAM) file format is designed for storing and analyzing peptide spectrum matches (PSMs) within the context of the genome. proBAM is built upon the SAM format and its compressed binary version, BAM, with necessary modifications to accommodate information specific to proteomics data such as PSM scores and confidence, charge states and peptide level modifications, both artefactual and PTMs (post-translational modifications).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12135},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19228}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Proteomics","Proteogenomics"],"domains":["Peptide","Spectrum","Post-translational protein modification","Genome"],"taxonomies":["All"],"user_defined_tags":["Peptide-spectrum matching"],"countries":["Belgium","United Kingdom","United States"],"publications":[{"id":86,"pubmed_id":29386051,"title":"The proBAM and proBed standard formats: enabling a seamless integration of genomics and proteomics data.","year":2018,"url":"http://doi.org/10.1186/s13059-017-1377-x","authors":"Menschaert G,Wang X,Jones AR,Ghali F,Fenyo D,Olexiouk V,Zhang B,Deutsch EW,Ternent T,Vizcaino JA","journal":"Genome Biol","doi":"10.1186/s13059-017-1377-x","created_at":"2021-09-30T08:22:29.424Z","updated_at":"2021-09-30T08:22:29.424Z"}],"licence_links":[],"grants":[{"id":5617,"fairsharing_record_id":408,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:33.638Z","updated_at":"2021-09-30T09:27:33.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5620,"fairsharing_record_id":408,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:27:33.739Z","updated_at":"2021-09-30T09:27:33.739Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5615,"fairsharing_record_id":408,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:27:33.585Z","updated_at":"2021-09-30T09:27:33.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5616,"fairsharing_record_id":408,"organisation_id":1420,"relation":"maintains","created_at":"2021-09-30T09:27:33.613Z","updated_at":"2021-09-30T09:27:33.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":1420,"name":"Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5618,"fairsharing_record_id":408,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:33.667Z","updated_at":"2021-09-30T09:27:33.667Z","grant_id":null,"is_lead":true,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5619,"fairsharing_record_id":408,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:27:33.708Z","updated_at":"2021-09-30T09:27:33.708Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5621,"fairsharing_record_id":408,"organisation_id":707,"relation":"maintains","created_at":"2021-09-30T09:27:33.762Z","updated_at":"2021-09-30T09:27:33.762Z","grant_id":null,"is_lead":false,"saved_state":{"id":707,"name":"Department of Epidemiology and Biostatistics, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5622,"fairsharing_record_id":408,"organisation_id":2154,"relation":"maintains","created_at":"2021-09-30T09:27:33.787Z","updated_at":"2021-09-30T09:27:33.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":2154,"name":"New York University Grossman School of Medicine, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"411","type":"fairsharing_records","attributes":{"created_at":"2015-03-03T09:40:22.000Z","updated_at":"2023-11-08T09:31:51.593Z","metadata":{"doi":"10.25504/FAIRsharing.6mhzhj","name":"Consolidated criteria for reporting qualitative research","status":"ready","contacts":[{"contact_name":"Allison Tong","contact_email":"allisont@chw.edu.au","contact_orcid":"0000-0001-8973-9538"}],"homepage":"https://www.equator-network.org/reporting-guidelines/coreq/","citations":[],"identifier":411,"description":"A reporting guideline composed of 32 criteria for qualitative research interviews and focus groups.","abbreviation":"COREQ","support_links":[],"year_creation":2007},"legacy_ids":["bsg-000585","bsg-s000585"],"name":"FAIRsharing record for: Consolidated criteria for reporting qualitative research","abbreviation":"COREQ","url":"https://fairsharing.org/10.25504/FAIRsharing.6mhzhj","doi":"10.25504/FAIRsharing.6mhzhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A reporting guideline composed of 32 criteria for qualitative research interviews and focus groups.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12486}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Health Science","Biomedical Science","Preclinical Studies"],"domains":["Study design"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["Australia"],"publications":[{"id":733,"pubmed_id":17872937,"title":"Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups","year":2007,"url":"http://doi.org/10.1093/intqhc/mzm042","authors":"Allison Tong , Peter Sainsbury , Jonathan Craig","journal":"International Journal for Quality in Health Care","doi":"10.1093/intqhc/mzm042","created_at":"2021-09-30T08:23:40.797Z","updated_at":"2021-09-30T08:23:40.797Z"}],"licence_links":[],"grants":[{"id":5625,"fairsharing_record_id":411,"organisation_id":2897,"relation":"maintains","created_at":"2021-09-30T09:27:33.863Z","updated_at":"2021-09-30T09:27:33.863Z","grant_id":null,"is_lead":false,"saved_state":{"id":2897,"name":"UK Equator Centre, Centre for Statistics in Medicine (CMS) University of Oxford, Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"412","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.471Z","metadata":{"doi":"10.25504/FAIRsharing.ya2wjp","name":"Interaction Ontology","status":"ready","contacts":[{"contact_name":"Carolyn Mattingly","contact_email":"cmattin@mdibl.org","contact_orcid":"0000-0002-2146-9436"}],"homepage":"http://bioportal.bioontology.org/ontologies/1614","identifier":412,"description":"The Interaction ontology (IxnO) was developed to enable curation of chemical-gene and chemical-protein interactions for the Comparative Toxicogenomics Database (CTD). CTD is a freely available resource that aims to promote understanding and novel hypothesis development about the effects of the environment on human health.","abbreviation":"IxnO","support_links":[{"url":"http://ctdbase.org/help/contact.go","type":"Contact form"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IXNO","name":"IXNO","portal":"BioPortal"}]},"legacy_ids":["bsg-002720","bsg-s002720"],"name":"FAIRsharing record for: Interaction Ontology","abbreviation":"IxnO","url":"https://fairsharing.org/10.25504/FAIRsharing.ya2wjp","doi":"10.25504/FAIRsharing.ya2wjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Interaction ontology (IxnO) was developed to enable curation of chemical-gene and chemical-protein interactions for the Comparative Toxicogenomics Database (CTD). CTD is a freely available resource that aims to promote understanding and novel hypothesis development about the effects of the environment on human health.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Medicine","Health Science","Biomedical Science"],"domains":["Chemical-disease association","Chemical-gene association"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5626,"fairsharing_record_id":412,"organisation_id":1808,"relation":"maintains","created_at":"2021-09-30T09:27:33.887Z","updated_at":"2021-09-30T09:27:33.887Z","grant_id":null,"is_lead":false,"saved_state":{"id":1808,"name":"MDI Biological Laboratory, Bar Harbor, ME, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5627,"fairsharing_record_id":412,"organisation_id":572,"relation":"maintains","created_at":"2021-09-30T09:27:33.914Z","updated_at":"2021-09-30T09:27:33.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":572,"name":"Comparative Toxicogenomics Database","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"413","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T13:04:24.000Z","updated_at":"2022-07-20T12:37:04.013Z","metadata":{"doi":"10.25504/FAIRsharing.a6b4fc","name":"Analyze 7.5 File Format","status":"ready","contacts":[{"contact_name":"Info","contact_email":"info@analyzedirect.com"}],"homepage":"http://imaging.mrc-cbu.cam.ac.uk/imaging/FormatAnalyze","identifier":413,"description":"Analyze 7.5 can store voxel-based volumes and consists of two files: One file with the actual data in a binary format with the filename extension .img and another file (header with filename extension .hdr) with information about the data such as voxel size and number of voxel in each dimension.","abbreviation":"Analyze"},"legacy_ids":["bsg-000576","bsg-s000576"],"name":"FAIRsharing record for: Analyze 7.5 File Format","abbreviation":"Analyze","url":"https://fairsharing.org/10.25504/FAIRsharing.a6b4fc","doi":"10.25504/FAIRsharing.a6b4fc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Analyze 7.5 can store voxel-based volumes and consists of two files: One file with the actual data in a binary format with the filename extension .img and another file (header with filename extension .hdr) with information about the data such as voxel size and number of voxel in each dimension.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Bioimaging","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5628,"fairsharing_record_id":413,"organisation_id":93,"relation":"maintains","created_at":"2021-09-30T09:27:33.937Z","updated_at":"2021-09-30T09:27:33.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":93,"name":"AnalyzeDirect, Inc. United States","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":5629,"fairsharing_record_id":413,"organisation_id":265,"relation":"maintains","created_at":"2021-09-30T09:27:33.964Z","updated_at":"2021-09-30T09:27:33.964Z","grant_id":null,"is_lead":true,"saved_state":{"id":265,"name":"Biomedical Imaging Resource Core, Mayo Clinic, Rochester, NY, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"414","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:35.504Z","metadata":{"doi":"10.25504/FAIRsharing.z057ar","name":"GenePattern GeneSet Table Format","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"gp-help@broadinstitute.org"}],"homepage":"http://software.broadinstitute.org/cancer/software/genepattern/file-formats-guide","identifier":414,"description":"GenePattern GeneSet Table Format is an analytical tool and file format for the analysis of gene expression and network analysis provided by GenePattern.","abbreviation":null,"support_links":[{"url":"http://software.broadinstitute.org/cancer/software/genepattern/blog","type":"Blog/News"}],"year_creation":2006},"legacy_ids":["bsg-000237","bsg-s000237"],"name":"FAIRsharing record for: GenePattern GeneSet Table Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.z057ar","doi":"10.25504/FAIRsharing.z057ar","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenePattern GeneSet Table Format is an analytical tool and file format for the analysis of gene expression and network analysis provided by GenePattern.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12436}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Expression data","Differential gene expression analysis","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1688,"pubmed_id":16642009,"title":"GenePattern 2.0.","year":2006,"url":"http://doi.org/10.1038/ng0506-500","authors":"Reich M,Liefeld T,Gould J,Lerner J,Tamayo P,Mesirov JP","journal":"Nat Genet","doi":"10.1038/ng0506-500","created_at":"2021-09-30T08:25:29.188Z","updated_at":"2021-09-30T08:25:29.188Z"}],"licence_links":[],"grants":[{"id":5630,"fairsharing_record_id":414,"organisation_id":2748,"relation":"maintains","created_at":"2021-09-30T09:27:33.987Z","updated_at":"2021-09-30T09:27:33.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":2748,"name":"The Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02140, USA.","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5631,"fairsharing_record_id":414,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:27:34.014Z","updated_at":"2021-09-30T09:27:34.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"415","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2021-11-24T13:14:19.881Z","metadata":{"doi":"10.25504/FAIRsharing.wd68xv","name":"Brain Region \u0026 Cell Type Terminology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de","contact_orcid":"0000-0001-8793-2692"}],"homepage":"http://bioportal.bioontology.org/ontologies/BRCT","identifier":415,"description":"The Brain Region and Cell Type terminology (BRCT) describes brain anatomy with a top-down granularity, from gross regions to cell types. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","abbreviation":"BRCT","support_links":[{"url":"http://aetionomy.scai.fhg.de/","name":"Aetionomy Project","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BRCT","name":"BRCT","portal":"BioPortal"}]},"legacy_ids":["bsg-000907","bsg-s000907"],"name":"FAIRsharing record for: Brain Region \u0026 Cell Type Terminology","abbreviation":"BRCT","url":"https://fairsharing.org/10.25504/FAIRsharing.wd68xv","doi":"10.25504/FAIRsharing.wd68xv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Brain Region and Cell Type terminology (BRCT) describes brain anatomy with a top-down granularity, from gross regions to cell types. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Neurobiology","Biomedical Science"],"domains":["Neuron","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5632,"fairsharing_record_id":415,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:34.037Z","updated_at":"2021-09-30T09:27:34.037Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"416","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T13:35:48.000Z","updated_at":"2024-05-09T09:29:00.509Z","metadata":{"doi":"10.25504/FAIRsharing.hrttzm","name":"MetaIO: MetaImage","status":"ready","contacts":[{"contact_name":"Kitware, Inc","contact_email":"kitware@kitware.com"}],"homepage":"https://itk.org/Wiki/ITK/MetaIO/Documentation","citations":[],"identifier":416,"description":"The MHA and MHD file extensions refer to a MetaImage which is part of the MetaIO standard. The MetaImage format supports multi-dimensional images and uses a tag-value text description of the metadata associated with those images. Standard metadata includes the information needed to interpret medical images: image origin, orientation, and size in physical space. This format gained popularity in its used with the Insight Segmentation and Registration Toolkit (ITK). \n* An open-source (Apache 2.0) implementation of the MetaIO standard is available as a C++ library on github: https://github.com/Kitware/MetaIO\n* Via the ITK, MetaIO is also available in javascript, python, and several other languages: https://itk.org/\n* Documentation on MetaIO is available at https://itk.org/Wiki/ITK/MetaIO/Documentation\n\n","abbreviation":"MHA/MHD","support_links":[{"url":"http://www.kitware.com/company/contact_kitware.php","type":"Contact form"},{"url":"http://www.itk.org/ITK/help/mailing.html","type":"Mailing list"},{"url":"https://twitter.com/Kitware","type":"Twitter"},{"url":"https://github.com/Kitware/MetaIO","type":"Github"}],"year_creation":1998,"associated_tools":[{"url":"https://itk.org/","name":"ITK (The Insight Toolkit)"},{"url":"https://www.slicer.org/","name":"3D Slicer"},{"url":"https://vtk.org/","name":"VTK (The Visualization Toolkit)"},{"url":"https://www.paraview.org/","name":"ParaView"}]},"legacy_ids":["bsg-000577","bsg-s000577"],"name":"FAIRsharing record for: MetaIO: MetaImage","abbreviation":"MHA/MHD","url":"https://fairsharing.org/10.25504/FAIRsharing.hrttzm","doi":"10.25504/FAIRsharing.hrttzm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MHA and MHD file extensions refer to a MetaImage which is part of the MetaIO standard. The MetaImage format supports multi-dimensional images and uses a tag-value text description of the metadata associated with those images. Standard metadata includes the information needed to interpret medical images: image origin, orientation, and size in physical space. This format gained popularity in its used with the Insight Segmentation and Registration Toolkit (ITK). \n* An open-source (Apache 2.0) implementation of the MetaIO standard is available as a C++ library on github: https://github.com/Kitware/MetaIO\n* Via the ITK, MetaIO is also available in javascript, python, and several other languages: https://itk.org/\n* Documentation on MetaIO is available at https://itk.org/Wiki/ITK/MetaIO/Documentation\n\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":3044,"relation":"applies_to_content"}],"grants":[{"id":5633,"fairsharing_record_id":416,"organisation_id":1640,"relation":"maintains","created_at":"2021-09-30T09:27:34.064Z","updated_at":"2022-12-22T18:20:20.728Z","grant_id":null,"is_lead":true,"saved_state":{"id":1640,"name":"Kitware, Inc, Clifton Park, New York, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"417","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:38:28.828Z","metadata":{"doi":"10.25504/FAIRsharing.ny6hcb","name":"Situation-Based Access Control","status":"deprecated","contacts":[{"contact_name":"Mor Peleg","contact_email":"morpeleg@is.haifa.ac.il","contact_orcid":"0000-0002-5612-768X"}],"homepage":"http://bioportal.bioontology.org/ontologies/SITBAC?p=summary","citations":[],"identifier":417,"description":"Context-based healthcare access-control policies.","abbreviation":"SitBAC","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SITBAC","name":"SITBAC","portal":"BioPortal"}],"deprecation_date":"2024-05-06","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002623","bsg-s002623"],"name":"FAIRsharing record for: Situation-Based Access Control","abbreviation":"SitBAC","url":"https://fairsharing.org/10.25504/FAIRsharing.ny6hcb","doi":"10.25504/FAIRsharing.ny6hcb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Context-based healthcare access-control policies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12442}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science"],"domains":["Data retrieval","Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":902,"pubmed_id":18511349,"title":"Situation-Based Access Control: privacy management via modeling of patient data access scenarios.","year":2008,"url":"http://doi.org/10.1016/j.jbi.2008.03.014","authors":"Peleg M,Beimel D,Dori D,Denekamp Y","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2008.03.014","created_at":"2021-09-30T08:23:59.637Z","updated_at":"2021-09-30T08:23:59.637Z"}],"licence_links":[],"grants":[{"id":5634,"fairsharing_record_id":417,"organisation_id":3061,"relation":"maintains","created_at":"2021-09-30T09:27:34.087Z","updated_at":"2021-09-30T09:27:34.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":3061,"name":"University of Haifa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"418","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T15:04:28.000Z","updated_at":"2022-02-08T10:40:52.796Z","metadata":{"doi":"10.25504/FAIRsharing.31385c","name":"PED","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#ped","identifier":418,"description":"Original standard text format for sample pedigree information and genotype calls.","abbreviation":"PED"},"legacy_ids":["bsg-001481","bsg-s001481"],"name":"FAIRsharing record for: PED","abbreviation":"PED","url":"https://fairsharing.org/10.25504/FAIRsharing.31385c","doi":"10.25504/FAIRsharing.31385c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Original standard text format for sample pedigree information and genotype calls.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["Biological sample","Genotype"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"391","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:27:38.000Z","updated_at":"2024-02-27T12:20:42.324Z","metadata":{"doi":"10.25504/FAIRsharing.30fk89","name":"Core Scientific MetaData model","status":"ready","contacts":[{"contact_name":"Brian Matthews","contact_email":"brian.matthews@stfc.ac.uk"}],"homepage":"http://icatproject-contrib.github.io/CSMD/","citations":[],"identifier":391,"description":"Capturing high level information about scientific studies and the data that they produce, the CSMD is developed to support data collected within a facility’s scientific workflow. However the model is also designed to be generic across scientific disciplines and has application beyond facilities science, particularly in the “structural sciences” (such as chemistry, material science, earth science, and biochemistry) which are concerned with analysing the structure of substances, and perform systematic experimental analyses on samples of those materials.","abbreviation":"CSMD","support_links":[{"url":"http://icatproject-contrib.github.io/CSMD/CSMD-Introduction.html","name":"CSMD: Short Introduction","type":"Github"},{"url":"http://icatproject-contrib.github.io/CSMD/csmd-4.0.html","name":"CSMD Reference Document (html)","type":"Github"},{"url":"http://icatproject-contrib.github.io/CSMD/CSMD-4.0.pdf","name":"CSMD Reference Document (pdf)","type":"Github"}],"year_creation":2010},"legacy_ids":["bsg-000705","bsg-s000705"],"name":"FAIRsharing record for: Core Scientific MetaData model","abbreviation":"CSMD","url":"https://fairsharing.org/10.25504/FAIRsharing.30fk89","doi":"10.25504/FAIRsharing.30fk89","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Capturing high level information about scientific studies and the data that they produce, the CSMD is developed to support data collected within a facility’s scientific workflow. However the model is also designed to be generic across scientific disciplines and has application beyond facilities science, particularly in the “structural sciences” (such as chemistry, material science, earth science, and biochemistry) which are concerned with analysing the structure of substances, and perform systematic experimental analyses on samples of those materials.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11719}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Biochemistry","Chemistry","Natural Science","Earth Science","Life Science","Materials Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2477,"pubmed_id":null,"title":"Using a Core Scientific Metadata Model in Large-Scale Facilities","year":2010,"url":"https://doi.org/10.2218/ijdc.v5i1.146","authors":"Brian Matthews, Shoaib Sufi, Damian Flannery, Laurent Lerusse, Tom Griffin, Michael Gleaves, Kerstin Kleese","journal":"International Journal of Digital Curation","doi":null,"created_at":"2021-09-30T08:27:03.703Z","updated_at":"2021-09-30T08:27:03.703Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":351,"relation":"undefined"}],"grants":[{"id":11426,"fairsharing_record_id":391,"organisation_id":2519,"relation":"maintains","created_at":"2024-02-27T12:17:45.973Z","updated_at":"2024-02-27T12:17:45.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"392","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-30T13:50:04.032Z","metadata":{"doi":"10.25504/FAIRsharing.9gqfpm","name":"International Harmonization of Nomenclature and Diagnostic criteria","status":"ready","homepage":"http://www.goreni.org/","identifier":392,"description":"Standard reference for nomenclature and diagnostic criteria in toxicologic pathology.","abbreviation":"INHAND","support_links":[{"url":"https://www.goreni.org/gr3_contact.php","type":"Contact form"}]},"legacy_ids":["bsg-000557","bsg-s000557"],"name":"FAIRsharing record for: International Harmonization of Nomenclature and Diagnostic criteria","abbreviation":"INHAND","url":"https://fairsharing.org/10.25504/FAIRsharing.9gqfpm","doi":"10.25504/FAIRsharing.9gqfpm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard reference for nomenclature and diagnostic criteria in toxicologic pathology.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16653}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Disease","Toxicity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","Japan","United Kingdom","United States"],"publications":[{"id":1818,"pubmed_id":20032296,"title":"Proliferative and nonproliferative lesions of the rat and mouse respiratory tract.","year":2010,"url":"http://doi.org/10.1177/0192623309353423","authors":"Renne R,Brix A,Harkema J,Herbert R,Kittel B,Lewis D,March T,Nagano K,Pino M,Rittinghausen S,Rosenbruch M,Tellier P,Wohrmann T","journal":"Toxicol Pathol","doi":"10.1177/0192623309353423","created_at":"2021-09-30T08:25:44.130Z","updated_at":"2021-09-30T08:25:44.130Z"}],"licence_links":[{"licence_name":"goRENI Data Protection","licence_id":360,"licence_url":"https://www.goreni.org/gr3_data_protection.php","link_id":391,"relation":"undefined"}],"grants":[{"id":5577,"fairsharing_record_id":392,"organisation_id":1051,"relation":"funds","created_at":"2021-09-30T09:27:32.178Z","updated_at":"2021-09-30T09:27:32.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1051,"name":"Fraunhofer Item, Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5581,"fairsharing_record_id":392,"organisation_id":1590,"relation":"funds","created_at":"2021-09-30T09:27:32.326Z","updated_at":"2021-09-30T09:27:32.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":1590,"name":"Japanese Society of Toxicologic Pathology (JSTP), Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5579,"fairsharing_record_id":392,"organisation_id":956,"relation":"funds","created_at":"2021-09-30T09:27:32.234Z","updated_at":"2021-09-30T09:27:32.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":956,"name":"European Society for Toxicologic Pathology","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5580,"fairsharing_record_id":392,"organisation_id":2587,"relation":"funds","created_at":"2021-09-30T09:27:32.276Z","updated_at":"2021-09-30T09:27:32.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":2587,"name":"Society of Toxicologic Pathology","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5582,"fairsharing_record_id":392,"organisation_id":322,"relation":"funds","created_at":"2021-09-30T09:27:32.367Z","updated_at":"2021-09-30T09:27:32.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":322,"name":"British Society of Toxicological Pathology","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11750,"fairsharing_record_id":392,"organisation_id":1051,"relation":"maintains","created_at":"2024-04-24T12:53:33.803Z","updated_at":"2024-04-24T12:53:33.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":1051,"name":"Fraunhofer Item, Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"393","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-30T15:49:56.831Z","metadata":{"doi":"10.25504/FAIRsharing.gneqg7","name":"Minimal Information about a Self-Monitoring Experiment","status":"deprecated","contacts":[{"contact_name":"Guillermo Lopez Campos","contact_email":"guillermo.lopez@unimelb.edu.au"}],"homepage":"http://healthinformatics.unimelb.edu.au/","citations":[],"identifier":393,"description":"This is reporting guideline for self-monitoring and quantified-self experiments and their use for research purposes","abbreviation":"MISME","deprecation_date":"2023-03-30","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n"},"legacy_ids":["bsg-000556","bsg-s000556"],"name":"FAIRsharing record for: Minimal Information about a Self-Monitoring Experiment","abbreviation":"MISME","url":"https://fairsharing.org/10.25504/FAIRsharing.gneqg7","doi":"10.25504/FAIRsharing.gneqg7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is reporting guideline for self-monitoring and quantified-self experiments and their use for research purposes","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Health Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Self-monitoring","Self-quantification"],"countries":["Australia"],"publications":[{"id":642,"pubmed_id":25000020,"title":"Proposal for a Standardised Reporting Guideline to Annotate Health-related Self-Quantification Experiments","year":2014,"url":"https://www.ncbi.nlm.nih.gov/pubmed/25000020","authors":"Lopez-Campos GH, Almalki M, Martin-Sanchez F","journal":"Stud Health Technol Inform.","doi":null,"created_at":"2021-09-30T08:23:30.669Z","updated_at":"2021-09-30T08:23:30.669Z"}],"licence_links":[],"grants":[{"id":5584,"fairsharing_record_id":393,"organisation_id":3090,"relation":"maintains","created_at":"2021-09-30T09:27:32.442Z","updated_at":"2021-09-30T09:27:32.442Z","grant_id":null,"is_lead":false,"saved_state":{"id":3090,"name":"University of Melbourne","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5583,"fairsharing_record_id":393,"organisation_id":2397,"relation":"maintains","created_at":"2021-09-30T09:27:32.405Z","updated_at":"2021-09-30T09:27:32.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":2397,"name":"Queen's University Belfast","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"394","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:10.153Z","metadata":{"doi":"10.25504/FAIRsharing.ny9vnm","name":"Flora Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"https://github.com/flora-phenotype-ontology/flopoontology","citations":[],"identifier":394,"description":"The Flora Phenotype Ontology is a domain ontology for the description of plant characters. FLOPO contains more than 25000 phenotype and traits classes, the creation of FLOPO is data-driven: For each trait/phenotype class exists a taxon annotation in the underlying Floras.","abbreviation":"FLOPO","support_links":[{"url":"leechuck@leechuck.de","name":"leechuck@leechuck.de","type":"Support email"},{"url":"monogatari99@gmail.com","name":"monogatari99@gmail.com","type":"Support email"},{"url":"Thomas.Hamann@naturalis.nl","name":"Thomas.Hamann@naturalis.nl","type":"Support email"},{"url":"george.gosline@gmail.com","name":"george.gosline@gmail.com","type":"Support email"},{"url":"quentingroom@gmail.com","name":"quentingroom@gmail.com","type":"Support email"},{"url":"https://github.com/flora-phenotype-ontology/flopoontology","name":"Github Repository","type":"Github"},{"url":"https://wiki.pro-ibiosphere.eu/wiki/Traits_Task_Group","name":"Traits Task Group","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FLOPO","name":"BioPortal: FLOPO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/flopo","name":"OLS: flopo","portal":"OLS"},{"url":"https://obofoundry.org/ontology/flopo.html","name":"OBO Foundry: flopo","portal":"OBO Foundry"},{"url":"http://agroportal.lirmm.fr/ontologies/FLOPO#:~:text=The%20Flora%20Phenotype%20Ontology%20(FLOPO,plant%20species%20found%20in%20Floras.\u0026text=The%20FLOPO%20is%20primarily%20intended,higher%20taxa%20of%20flowering%20plants.","name":"Agroportal: FLOPO","portal":"AgroPortal"}]},"legacy_ids":["bsg-000558","bsg-s000558"],"name":"FAIRsharing record for: Flora Phenotype Ontology","abbreviation":"FLOPO","url":"https://fairsharing.org/10.25504/FAIRsharing.ny9vnm","doi":"10.25504/FAIRsharing.ny9vnm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Flora Phenotype Ontology is a domain ontology for the description of plant characters. FLOPO contains more than 25000 phenotype and traits classes, the creation of FLOPO is data-driven: For each trait/phenotype class exists a taxon annotation in the underlying Floras.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Biodiversity","Plant Anatomy"],"domains":["Phenotype","Life cycle stage"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Belgium","Germany","Netherlands","Saudi Arabia","United Kingdom"],"publications":[{"id":896,"pubmed_id":25057255,"title":"Enriched biodiversity data as a resource and service.","year":2014,"url":"http://doi.org/10.3897/BDJ.2.e1125","authors":"Vos RA,Biserkov JV,Balech B,Beard N,Blissett M,Brenninkmeijer C,van Dooren T,Eades D,Gosline G,Groom QJ,Hamann TD,Hettling H,Hoehndorf R,Holleman A,Hovenkamp P,Kelbert P,King D,Kirkup D,Lammers Y,DeMeulemeester T,Mietchen D,Miller JA,Mounce R,Nicolson N,Page R,Pawlik A,Pereira S,Penev L,Richards K,Sautter G,Shorthouse DP,Tahtinen M,Weiland C,Williams AR,Sierra S","journal":"Biodivers Data J","doi":"10.3897/BDJ.2.e1125","created_at":"2021-09-30T08:23:59.014Z","updated_at":"2021-09-30T08:23:59.014Z"},{"id":1817,"pubmed_id":27842607,"title":"The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0107-8","authors":"Hoehndorf R,Alshahrani M,Gkoutos GV,Gosline G,Groom Q,Hamann T,Kattge J,de Oliveira SM,Schmidt M,Sierra S,Smets E,Vos RA,Weiland C","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0107-8","created_at":"2021-09-30T08:25:43.972Z","updated_at":"2021-09-30T08:25:43.972Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1813,"relation":"undefined"}],"grants":[{"id":5585,"fairsharing_record_id":394,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:32.485Z","updated_at":"2021-09-30T09:31:23.476Z","grant_id":1148,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS-1340112","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5589,"fairsharing_record_id":394,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:32.620Z","updated_at":"2021-09-30T09:31:44.102Z","grant_id":1303,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/J004464/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5588,"fairsharing_record_id":394,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:32.596Z","updated_at":"2021-09-30T09:30:26.102Z","grant_id":709,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"HI 1538/2-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5586,"fairsharing_record_id":394,"organisation_id":2368,"relation":"funds","created_at":"2021-09-30T09:27:32.526Z","updated_at":"2021-09-30T09:31:08.874Z","grant_id":1039,"is_lead":false,"saved_state":{"id":2368,"name":"Pro-iBiosphere project, European Commission FP7","grant":"312848","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5587,"fairsharing_record_id":394,"organisation_id":2333,"relation":"funds","created_at":"2021-09-30T09:27:32.564Z","updated_at":"2021-09-30T09:31:52.344Z","grant_id":1365,"is_lead":false,"saved_state":{"id":2333,"name":"Plant Phenotyping Network, European Commission FP7","grant":"284443","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"395","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:19.568Z","metadata":{"doi":"10.25504/FAIRsharing.cfhbvn","name":"Observ-Tab","status":"deprecated","homepage":"http://wiki.gcc.rug.nl/wiki/ObservStart","citations":[{"doi":"10.1002/humu.22070","pubmed_id":22416047,"publication_id":905}],"identifier":395,"description":"Observ-Tab is the tabular exchange format for Observ-OM. Observ-OM is a model to capture 'any' phenotype observation lead by ​EU-GEN2PHEN. Its purpose is to store individual and summary level observations in a uniform way to enable harmonization and interoperability of phenotypic and genotypic data across human genetics, model organisms and biobanks.","abbreviation":"Observ-Tab","year_creation":2011,"deprecation_date":"2019-09-24","deprecation_reason":"This resource has been deprecated, though remains available for reference purposes."},"legacy_ids":["bsg-000554","bsg-s000554"],"name":"FAIRsharing record for: Observ-Tab","abbreviation":"Observ-Tab","url":"https://fairsharing.org/10.25504/FAIRsharing.cfhbvn","doi":"10.25504/FAIRsharing.cfhbvn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Observ-Tab is the tabular exchange format for Observ-OM. Observ-OM is a model to capture 'any' phenotype observation lead by ​EU-GEN2PHEN. Its purpose is to store individual and summary level observations in a uniform way to enable harmonization and interoperability of phenotypic and genotypic data across human genetics, model organisms and biobanks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["Model organism","Biobank","Phenotype","Genotype"],"taxonomies":["All","Homo sapiens"],"user_defined_tags":[],"countries":["Finland","Netherlands","United Kingdom"],"publications":[{"id":905,"pubmed_id":22416047,"title":"Observ-OM and Observ-TAB: Universal syntax solutions for the integration, search, and exchange of phenotype and genotype information.","year":2012,"url":"http://doi.org/10.1002/humu.22070","authors":"Adamusiak T,Parkinson H,Muilu J,Roos E,van der Velde KJ,Thorisson GA,Byrne M,Pang C,Gollapudi S,Ferretti V,Hillege H,Brookes AJ,Swertz MA","journal":"Hum Mutat","doi":"10.1002/humu.22070","created_at":"2021-09-30T08:23:59.938Z","updated_at":"2021-09-30T08:23:59.938Z"}],"licence_links":[],"grants":[{"id":5592,"fairsharing_record_id":395,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:32.714Z","updated_at":"2021-09-30T09:27:32.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5590,"fairsharing_record_id":395,"organisation_id":3059,"relation":"maintains","created_at":"2021-09-30T09:27:32.646Z","updated_at":"2021-09-30T09:27:32.646Z","grant_id":null,"is_lead":true,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5591,"fairsharing_record_id":395,"organisation_id":220,"relation":"funds","created_at":"2021-09-30T09:27:32.675Z","updated_at":"2021-09-30T09:32:42.771Z","grant_id":1744,"is_lead":false,"saved_state":{"id":220,"name":"Biobanking and Biomolecular Resources Research Infrastructure (BBMRI), The Netherlands","grant":"BBMRI-NL RP-2","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"396","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-05T09:06:34.904Z","metadata":{"doi":"10.25504/FAIRsharing.e01rsf","name":"Standard Preanalytical Code","status":"ready","contacts":[{"contact_name":"Fotini Betsou","contact_email":"fay.betsou@ibbl.org"},{"contact_name":"General Contact","contact_email":"info@isber.org","contact_orcid":null}],"homepage":"https://www.isber.org/page/sprec","citations":[{"doi":"10.1089/bio.2012.0012","pubmed_id":24849886,"publication_id":1821}],"identifier":396,"description":"Standard Preanalytical Code (SPREC) identifies and records the main pre-analytical factors that may have impact on the integrity of sampled clinical fluids and solid biospecimens and their simple derivatives during collection, processing and storage. SPREC comprises 7 elements for both fluid and solid samples, defining the sample and primary container type, periods of cold and warm ischemia, and subsequent handling steps including speed and temperature of centrifugation and final storage temperature.","abbreviation":"SPREC","support_links":[{"url":"https://c.ymcdn.com/sites/isber.site-ym.com/resource/resmgr/sprecalcreleasenotes_v1.0.pdf","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-000549","bsg-s000549"],"name":"FAIRsharing record for: Standard Preanalytical Code","abbreviation":"SPREC","url":"https://fairsharing.org/10.25504/FAIRsharing.e01rsf","doi":"10.25504/FAIRsharing.e01rsf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard Preanalytical Code (SPREC) identifies and records the main pre-analytical factors that may have impact on the integrity of sampled clinical fluids and solid biospecimens and their simple derivatives during collection, processing and storage. SPREC comprises 7 elements for both fluid and solid samples, defining the sample and primary container type, periods of cold and warm ischemia, and subsequent handling steps including speed and temperature of centrifugation and final storage temperature.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11042},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12085},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16966}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Biological sample annotation","Biobank","Quality control","Biological sample"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","France","Italy","Luxembourg","United Kingdom","United States"],"publications":[{"id":1820,"pubmed_id":20332280,"title":"Standard preanalytical coding for biospecimens: defining the sample PREanalytical code","year":2010,"url":"http://doi.org/10.1158/1055-9965.EPI-09-1268","authors":"Betsou F, Lehmann S, Ashton G, Barnes M, Benson EE, Coppola D, DeSouza Y, Eliason J, Glazer B, Guadagni F, Harding K, Horsfall DJ, Kleeberger C, Nanni U, Prasad A, Shea K, Skubitz A, Somiari S, Gunter E; International Society for Biological and Environmental Repositories (ISBER) Working Group on Biospecimen Science","journal":"Cancer Epidemiol Biomarkers Prev","doi":"10.1158/1055-9965.EPI-09-1268","created_at":"2021-09-30T08:25:44.406Z","updated_at":"2021-09-30T08:25:44.406Z"},{"id":1821,"pubmed_id":24849886,"title":"Standard preanalytical coding for biospecimens: review and implementation of the Sample PREanalytical Code (SPREC).","year":2012,"url":"http://doi.org/10.1089/bio.2012.0012","authors":"Lehmann S,Guadagni F,Moore H,Ashton G,Barnes M,Benson E,Clements J,Koppandi I,Coppola D,Demiroglu SY,DeSouza Y,De Wilde A,Duker J,Eliason J,Glazer B,Harding K,Jeon JP,Kessler J,Kokkat T,Nanni U,Shea K,Skubitz A,Somiari S,Tybring G,Gunter E,Betsou F","journal":"Biopreserv Biobank","doi":"10.1089/bio.2012.0012","created_at":"2021-09-30T08:25:44.514Z","updated_at":"2021-09-30T08:25:44.514Z"}],"licence_links":[],"grants":[{"id":5594,"fairsharing_record_id":396,"organisation_id":1517,"relation":"maintains","created_at":"2021-09-30T09:27:32.780Z","updated_at":"2021-09-30T09:27:32.780Z","grant_id":null,"is_lead":false,"saved_state":{"id":1517,"name":"International Society for Biological and Environmental Repositories (ISBER), Vancouver, BC, Canada.","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5593,"fairsharing_record_id":396,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:32.747Z","updated_at":"2021-09-30T09:32:45.605Z","grant_id":1765,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P30 AI027763","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--42523738af8f1fc3c2d0d5f55190812e255fd034/SubPageBanner_v022.jpg?disposition=inline","exhaustive_licences":false}},{"id":"388","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T15:43:30.000Z","updated_at":"2024-03-21T13:57:58.313Z","metadata":{"doi":"10.25504/FAIRsharing.47tk7z","name":"MIAPE: Capillary Electrophoresis","status":"ready","contacts":[],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":388,"description":"“MIAPE – Capillary Electrophoresis” (MIAPE-CE) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CE module is the result of a coordinaded effort between a consortia of CE researchers working in proteomics field. It has been designed to specify a minimal set of information to document a CE experiment.","abbreviation":"MIAPE-CE","support_links":[{"url":"psi-mi@ebi.ac.uk","type":"Support email"}],"year_creation":2008},"legacy_ids":["bsg-000612","bsg-s000612"],"name":"FAIRsharing record for: MIAPE: Capillary Electrophoresis","abbreviation":"MIAPE-CE","url":"https://fairsharing.org/10.25504/FAIRsharing.47tk7z","doi":"10.25504/FAIRsharing.47tk7z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: “MIAPE – Capillary Electrophoresis” (MIAPE-CE) is one module of the Minimal Information About a Proteomics Experiment (MIAPE) documentation system. MIAPE is developed by the Proteomics Standards Initiative of the Human Proteome Organisation (HUPO-PSI). It aims at delivering a set of technical guidelines representing the minimal information required to report and sufficiently support assessment and interpretation of a proteomics experiment. This MIAPE-CE module is the result of a coordinaded effort between a consortia of CE researchers working in proteomics field. It has been designed to specify a minimal set of information to document a CE experiment.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11444},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12062}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Assay","Electrophoresis","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Japan","Spain","United Kingdom","United States","European Union"],"publications":[{"id":810,"pubmed_id":20622828,"title":"Guidelines for reporting the use of capillary electrophoresis in proteomics.","year":2010,"url":"http://doi.org/10.1038/nbt0710-654b","authors":"Domann PJ,Akashi S,Barbas C,Huang L,Lau W,Legido-Quigley C,McClean S,Neususs C,Perrett D,Quaglia M,Rapp E,Smallshaw L,Smith NW,Smyth WF,Taylor CF","journal":"Nat Biotechnol","doi":"10.1038/nbt0710-654b","created_at":"2021-09-30T08:23:49.373Z","updated_at":"2021-09-30T08:23:49.373Z"}],"licence_links":[],"grants":[{"id":5574,"fairsharing_record_id":388,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:32.103Z","updated_at":"2021-09-30T09:27:32.103Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":11521,"fairsharing_record_id":388,"organisation_id":3609,"relation":"funds","created_at":"2024-03-21T13:57:57.977Z","updated_at":"2024-03-21T13:57:57.977Z","grant_id":null,"is_lead":false,"saved_state":{"id":3609,"name":"Human Proteome Organization","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ01EIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e02994dee9825df16f19924532c21d19148940bf/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"389","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-03T09:54:03.787Z","metadata":{"doi":"10.25504/FAIRsharing.wdrf9x","name":"MIAPE: Mass Spectrometry Quantification","status":"ready","contacts":[{"contact_name":"Salvador Martínez-Bartolomé","contact_email":"smartinez@cnb.csic.es","contact_orcid":"0000-0001-7592-5612"}],"homepage":"https://www.psidev.info/groups/miape","citations":[],"identifier":389,"description":"This module identifies the minimum information required to report the use of quantification techniques in a proteomics experiment, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the results of the data analysis.","abbreviation":"MIAPE-Quant","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"Psidev-pi-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"http://www.psidev.info/sites/default/files/MIAPE_Quant_v1.0_Final_0.pdf","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000516","bsg-s000516"],"name":"FAIRsharing record for: MIAPE: Mass Spectrometry Quantification","abbreviation":"MIAPE-Quant","url":"https://fairsharing.org/10.25504/FAIRsharing.wdrf9x","doi":"10.25504/FAIRsharing.wdrf9x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report the use of quantification techniques in a proteomics experiment, sufficient to support both the effective interpretation and assessment of the data and the potential recreation of the results of the data analysis.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11438},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12034}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Quantification","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Spain","Switzerland","United Kingdom","United States"],"publications":[{"id":1433,"pubmed_id":23500130,"title":"Guidelines for reporting quantitative mass spectrometry based experiments in proteomics.","year":2013,"url":"http://doi.org/10.1016/j.jprot.2013.02.026","authors":"Martinez-Bartolome S, Deutsch EW, Binz PA, Jones AR, Eisenacher M, Mayer G, Campos A, Canals F, Bech-Serra JJ, Carrascal M, Gay M, Paradela A, Navajas R, Marcilla M, Hernaez ML, Gutierrez-Blazquez MD, Velarde LF, Aloria K, Beaskoetxea J, Medina-Aunon JA, Albar JP.","journal":"Journal of Proteomics","doi":"10.1016/j.jprot.2013.02.026","created_at":"2021-09-30T08:25:00.232Z","updated_at":"2021-09-30T08:25:00.232Z"}],"licence_links":[],"grants":[{"id":5575,"fairsharing_record_id":389,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:32.127Z","updated_at":"2023-10-03T09:28:33.388Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"390","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-02-07T09:22:13.137Z","metadata":{"doi":"10.25504/FAIRsharing.s0jj2t","name":"Minimum Information About BIobank data Sharing","status":"ready","contacts":[{"contact_name":"Roxana Merino-Martinez","contact_email":"roxana.martinez@ki.se","contact_orcid":"0000-0002-8939-0003"}],"homepage":"http://bbmri-wiki.wikidot.com/en:dataset","identifier":390,"description":"MIABIS represents the minimum information required to initiate collaborations between biobanks and to enable the exchange of biological samples and data. The aim is to facilitate the reuse of bio-resources and associated data by harmonizing biobanking and biomedical research.","abbreviation":"MIABIS","support_links":[{"url":"https://github.com/MIABIS/miabis/wiki/Database-implementation","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-000553","bsg-s000553"],"name":"FAIRsharing record for: Minimum Information About BIobank data Sharing","abbreviation":"MIABIS","url":"https://fairsharing.org/10.25504/FAIRsharing.s0jj2t","doi":"10.25504/FAIRsharing.s0jj2t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIABIS represents the minimum information required to initiate collaborations between biobanks and to enable the exchange of biological samples and data. The aim is to facilitate the reuse of bio-resources and associated data by harmonizing biobanking and biomedical research.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17342},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18285},{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17648},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12039}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Biobank"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Finland","Germany","Netherlands","Sweden"],"publications":[{"id":1799,"pubmed_id":26977825,"title":"Toward Global Biobank Integration by Implementation of the Minimum Information About BIobank Data Sharing (MIABIS 2.0 Core).","year":2016,"url":"http://doi.org/10.1089/bio.2015.0070","authors":"Merino-Martinez R,Norlin L,van Enckevort D,Anton G,Schuffenhauer S,Silander K,Mook L,Holub P,Bild R,Swertz M,Litton JE","journal":"Biopreserv Biobank","doi":"10.1089/bio.2015.0070","created_at":"2021-09-30T08:25:41.980Z","updated_at":"2021-09-30T08:25:41.980Z"},{"id":1800,"pubmed_id":24849882,"title":"A Minimum Data Set for Sharing Biobank Samples, Information, and Data: MIABIS.","year":2012,"url":"http://doi.org/10.1089/bio.2012.0003","authors":"Norlin L,Fransson MN,Eriksson M,Merino-Martinez R,Anderberg M,Kurtovic S,Litton JE","journal":"Biopreserv Biobank","doi":"10.1089/bio.2012.0003","created_at":"2021-09-30T08:25:42.088Z","updated_at":"2021-09-30T08:25:42.088Z"}],"licence_links":[],"grants":[{"id":5576,"fairsharing_record_id":390,"organisation_id":182,"relation":"maintains","created_at":"2021-09-30T09:27:32.154Z","updated_at":"2021-09-30T09:27:32.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":182,"name":"BBMRI-ERIC national nodes, Graz, Austria","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"384","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-01T10:38:08.630Z","metadata":{"doi":"10.25504/FAIRsharing.wkdjpb","name":"Gazetteer","status":"uncertain","contacts":[{"contact_name":"Lynn Schriml","contact_email":"lschriml@som.umaryland.edu","contact_orcid":null}],"homepage":"http://environmentontology.github.io/gaz/","citations":[],"identifier":384,"description":"A controlled vocabulary following ontological rules that describes named geographical locations. GAZ represents a first step towards an open source gazetteer, constructed on ontological principles, that describes places and place names and the relations between them.","abbreviation":"GAZ","support_links":[{"url":"https://github.com/EnvironmentOntology/gaz/issues","name":"GitHub Issue Tracker","type":"Contact form"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GAZ","name":"GAZ","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/gaz.html","name":"gaz","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002636","bsg-s002636"],"name":"FAIRsharing record for: Gazetteer","abbreviation":"GAZ","url":"https://fairsharing.org/10.25504/FAIRsharing.wkdjpb","doi":"10.25504/FAIRsharing.wkdjpb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary following ontological rules that describes named geographical locations. GAZ represents a first step towards an open source gazetteer, constructed on ontological principles, that describes places and place names and the relations between them.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11856}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science"],"domains":["Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2769,"relation":"applies_to_content"}],"grants":[{"id":5564,"fairsharing_record_id":384,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:31.853Z","updated_at":"2021-09-30T09:27:31.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"385","type":"fairsharing_records","attributes":{"created_at":"2018-04-04T13:30:56.000Z","updated_at":"2022-04-11T12:07:33.717Z","metadata":{"doi":"10.25504/FAIRsharing.pg4NHk","name":"Open Metadata Markup Language","status":"ready","contacts":[{"contact_name":"Thomas Wachtler","contact_email":"info@g-node.org","contact_orcid":"0000-0003-2015-6590"}],"homepage":"https://github.com/G-Node/python-odml/wiki","identifier":385,"description":"odML is a format to collect and share metadata in an organized, human- and machine-readable way. The format specifies a hierarchical structure for storing arbitrary metadata as extended key-value pairs. It is inherently extensible and can be adapted flexibly to the specific requirements of any laboratory. Developed within the Neuroinformatics community, it is a generic format intended for all types of data.","abbreviation":"odML","support_links":[{"url":"https://g-node.github.io/python-odml/","name":"odML Tutorial","type":"Github"},{"url":"https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001376/resolver?q=*\u0026l=","name":"SciCrunch Registry odML record","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"https://github.com/G-Node/python-odml/releases/latest","name":"python-odml LIbrary latest"},{"url":"https://github.com/G-Node/odml-ui/releases/latest","name":"odML Editor latest"},{"url":"https://github.com/INM-6/python-odmltables/releases/latest","name":"odmlTables latest"}]},"legacy_ids":["bsg-001168","bsg-s001168"],"name":"FAIRsharing record for: Open Metadata Markup Language","abbreviation":"odML","url":"https://fairsharing.org/10.25504/FAIRsharing.pg4NHk","doi":"10.25504/FAIRsharing.pg4NHk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: odML is a format to collect and share metadata in an organized, human- and machine-readable way. The format specifies a hierarchical structure for storing arbitrary metadata as extended key-value pairs. It is inherently extensible and can be adapted flexibly to the specific requirements of any laboratory. Developed within the Neuroinformatics community, it is a generic format intended for all types of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics"],"countries":["Germany"],"publications":[{"id":2269,"pubmed_id":21941477,"title":"A Bottom-up Approach to Data Annotation in Neurophysiology.","year":2011,"url":"http://doi.org/10.3389/fninf.2011.00016","authors":"Grewe J,Wachtler T,Benda J","journal":"Front Neuroinform","doi":"10.3389/fninf.2011.00016","created_at":"2021-09-30T08:26:36.355Z","updated_at":"2021-09-30T08:26:36.355Z"}],"licence_links":[{"licence_name":"BSD 4-Clause \"Original\" or \"Old\" License","licence_id":89,"licence_url":"https://spdx.org/licenses/BSD-4-Clause.html","link_id":2342,"relation":"undefined"},{"licence_name":"odML-Specific BSD License","licence_id":611,"licence_url":"https://github.com/G-Node/python-odml/blob/master/LICENSE","link_id":2341,"relation":"undefined"}],"grants":[{"id":5566,"fairsharing_record_id":385,"organisation_id":1730,"relation":"maintains","created_at":"2021-09-30T09:27:31.903Z","updated_at":"2021-09-30T09:27:31.903Z","grant_id":null,"is_lead":false,"saved_state":{"id":1730,"name":"Ludwig-Maximilians-Universitt Mnchen, Department Biologie II, Division of Neurobiology, Munich, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9344,"fairsharing_record_id":385,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.843Z","updated_at":"2022-04-11T12:07:31.860Z","grant_id":1519,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ1302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9349,"fairsharing_record_id":385,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.245Z","updated_at":"2022-04-11T12:07:32.261Z","grant_id":1588,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ0802","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9369,"fairsharing_record_id":385,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.689Z","updated_at":"2022-04-11T12:07:33.706Z","grant_id":1587,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ0801","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"386","type":"fairsharing_records","attributes":{"created_at":"2015-08-14T11:44:26.000Z","updated_at":"2022-06-13T10:06:17.741Z","metadata":{"doi":"10.25504/FAIRsharing.qk984b","name":"The Observational Medical Outcomes Partnership Common Data Model","status":"ready","contacts":[{"contact_name":"David Madigan","contact_email":"david.madigan@columbia.edu","contact_orcid":"0000-0001-9754-1011"},{"contact_name":"Clair Blacketer (OHDSI Teams Tenet)","contact_email":"mblacke@its.jnj.com","contact_orcid":null}],"homepage":"https://www.ohdsi.org/data-standardization/the-common-data-model/","citations":[],"identifier":386,"description":"The The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) allows for the systematic analysis of disparate observational databases for standardizing the format and content of the observational data, standardized applications (tools and methods) can be applied across databases implementing a common data model format (data model) and/or a common representation data model using variable terminologies, vocabularies, and coding schemes. The OMOP CDM can accommodate both administrative claims and EHR applications for allowing users to generate evidence from a wide variety of data sources, supporting both collaborative research across data sources both within and outside the United States in a manageable format suitable for both data owners and data users.","abbreviation":"OMOP CDM","support_links":[{"url":"contact@ohdsi.org","type":"Support email"},{"url":"http://www.ohdsi.org/who-we-are/frequently-asked-questions/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://forums.ohdsi.org/c/developers","name":"CDM Developer Forum - Discussion on open-source development of OHDSI applications and other tools that leverage the OMOP CDM.","type":"Forum"},{"url":"http://75.101.131.161/download/loadfile.php?docname=CDM%20Specification%20V4.0","type":"Help documentation"},{"url":"https://twitter.com/OHDSI","type":"Twitter"},{"url":"https://ohdsi.github.io/CommonDataModel/","type":"Help documentation"},{"url":"https://forums.ohdsi.org/c/cdm-builders/9/l/latest","name":"CDM Builder Forum - Discussion of ongoing CDM development, including requirements, vocabulary, and technical aspects.","type":"Forum"},{"url":"https://github.com/OHDSI/CommonDataModel","name":"OMOP Common Data Model on GitHub","type":"Github"},{"url":"https://ohdsi.github.io/CommonDataModel/","name":"OMOP Common Data Model \"Read the Docs\"","type":"Github"},{"url":"https://ohdsi.github.io/TheBookOfOhdsi/","name":"The Book of OHDSI","type":"Github"},{"url":"https://github.com/OHDSI/CommonDataModel/tree/v5.4.0/inst/ddl/5.4","name":"SQL DDLs","type":"Github"},{"url":"http://www.ltscomputingllc.com/downloads/","name":"Latest CDM Version Download","type":"Help documentation"},{"url":"https://forms.office.com/Pages/ResponsePage.aspx?id=lAAPoyCRq0q6TOVQkCOy1ZyG6Ud_r2tKuS0HcGnqiQZUOVJFUzBFWE1aSVlLN0ozR01MUVQ4T0RGNyQlQCN0PWcu","name":"Join the CDM Working Group","type":"Contact form"},{"url":"https://docs.google.com/document/d/1WgKePjrI_cGdqn2XQCe1JdGaTzdMqU4p5ihkMt8fcAc/edit?usp=sharing","name":"CDM WG Working Agenda","type":"Other"},{"url":"https://drive.google.com/open?id=1DaNKe6ivIAZPJeI31VJ-pzNB9wS9hDqu","name":"CDM WG Google Drive Resources","type":"Other"},{"url":"https://www.ohdsi.org/web/wiki/doku.php?id=documentation:vocabulary:sidebar","name":"Standardized Vocabularies","type":"Help documentation"},{"url":"https://github.com/OHDSI/CommonDataModel/tree/master#readme","name":"Link to ReadMe for instructions on how to use the R package","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"https://ohdsi.github.io/Hades/","name":"OHDSI Tool Suite"}]},"legacy_ids":["bsg-000614","bsg-s000614"],"name":"FAIRsharing record for: The Observational Medical Outcomes Partnership Common Data Model","abbreviation":"OMOP CDM","url":"https://fairsharing.org/10.25504/FAIRsharing.qk984b","doi":"10.25504/FAIRsharing.qk984b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) allows for the systematic analysis of disparate observational databases for standardizing the format and content of the observational data, standardized applications (tools and methods) can be applied across databases implementing a common data model format (data model) and/or a common representation data model using variable terminologies, vocabularies, and coding schemes. The OMOP CDM can accommodate both administrative claims and EHR applications for allowing users to generate evidence from a wide variety of data sources, supporting both collaborative research across data sources both within and outside the United States in a manageable format suitable for both data owners and data users.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17326},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12480}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Data Governance","Health Science","Preclinical Studies"],"domains":["Electronic health record","Safety study","Observation design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":807,"pubmed_id":null,"title":"A Systematic Statistical Approach to Evaluating Evidence from Observational Studies","year":2014,"url":"http://doi.org/10.1146/annurev-statistics-022513-115645","authors":"David Madigan, Paul E. Stang, Jesse A. Berlin, Martijn Schuemie, J. Marc Overhage, Marc A. Suchard, Bill Dumouchel, Abraham G. Hartzema, and Patrick B. Ryan","journal":"Annual Review of Statistics and Its Application","doi":"10.1146/annurev-statistics-022513-115645","created_at":"2021-09-30T08:23:49.004Z","updated_at":"2021-09-30T08:23:49.004Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":96,"relation":"undefined"}],"grants":[{"id":5569,"fairsharing_record_id":386,"organisation_id":127,"relation":"funds","created_at":"2021-09-30T09:27:31.977Z","updated_at":"2021-09-30T09:27:31.977Z","grant_id":null,"is_lead":false,"saved_state":{"id":127,"name":"AstraZeneca","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":5568,"fairsharing_record_id":386,"organisation_id":2409,"relation":"funds","created_at":"2021-09-30T09:27:31.953Z","updated_at":"2021-09-30T09:27:31.953Z","grant_id":null,"is_lead":false,"saved_state":{"id":2409,"name":"Reagan-Udall Foundation for the FDA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5570,"fairsharing_record_id":386,"organisation_id":1355,"relation":"maintains","created_at":"2021-09-30T09:27:32.003Z","updated_at":"2021-09-30T09:27:32.003Z","grant_id":null,"is_lead":false,"saved_state":{"id":1355,"name":"Innovation in Medical Evidence Development and Surveillance (IMEDS) Program, Reagan-Udall Foundation, Washington, DC, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":12030,"fairsharing_record_id":386,"organisation_id":2212,"relation":"maintains","created_at":"2024-07-08T14:51:34.075Z","updated_at":"2024-07-08T14:51:34.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2212,"name":"Observational Health Data Sciences and Informatics","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"387","type":"fairsharing_records","attributes":{"created_at":"2016-05-26T14:45:56.000Z","updated_at":"2021-11-24T13:16:25.006Z","metadata":{"doi":"10.25504/FAIRsharing.384x47","name":"International transfer format for botanic garden plant records","status":"deprecated","homepage":"https://github.com/tdwg/prior-standards/tree/master/itf2","identifier":387,"description":"The International Transfer Format for Botanic Garden Plant Records, version 2 (ITF2) was developed in response to requests from Botanic Gardens to incorporate additional data fields for transfer within the Botanic Gardens and allow for a more flexible transfer format than the original transfer format outlined in ITF version 01.00. It is biased towards 'Conservation Type Data Fields', but incorporates a procedure allowing for additional data fields to be identified and exchanged between gardens. It is because of this flexibility that it is believed that the ITF2 will remain relevant to Botanic Gardens for a long time despite the rapid change in information system technology in recent years.","abbreviation":"ITF2","year_creation":1987,"deprecation_date":"2016-05-26","deprecation_reason":"This standard is listed as 'prior' on the TWDG website (http://www.tdwg.org/standards/)"},"legacy_ids":["bsg-000670","bsg-s000670"],"name":"FAIRsharing record for: International transfer format for botanic garden plant records","abbreviation":"ITF2","url":"https://fairsharing.org/10.25504/FAIRsharing.384x47","doi":"10.25504/FAIRsharing.384x47","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Transfer Format for Botanic Garden Plant Records, version 2 (ITF2) was developed in response to requests from Botanic Gardens to incorporate additional data fields for transfer within the Botanic Gardens and allow for a more flexible transfer format than the original transfer format outlined in ITF version 01.00. It is biased towards 'Conservation Type Data Fields', but incorporates a procedure allowing for additional data fields to be identified and exchanged between gardens. It is because of this flexibility that it is believed that the ITF2 will remain relevant to Botanic Gardens for a long time despite the rapid change in information system technology in recent years.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12282}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5572,"fairsharing_record_id":387,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:27:32.053Z","updated_at":"2021-09-30T09:27:32.053Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"399","type":"fairsharing_records","attributes":{"created_at":"2017-09-25T14:49:39.000Z","updated_at":"2023-10-23T07:51:44.413Z","metadata":{"doi":"10.25504/FAIRsharing.anpj91","name":"AGROVOC","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"agrovoc@fao.org"}],"homepage":"http://www.fao.org/agrovoc/","citations":[{"doi":"https://doi.org/10.4060/cb2838en","pubmed_id":null,"publication_id":3154}],"identifier":399,"description":"AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts. AGROVOC consists of over 41,000 concepts available in up to 42 languages. AGROVOC uses semantic web technologies, linking to other multilingual knowledge organization systems and building bridges between datasets. Your library can use AGROVOC to index its documents or datasets, or you can use it from inside your content management system (e.g., Drupal) to organize your documents or web site. You can also use AGROVOC as an hub to access many other vocabularies available on the web. To date, AGROVOC is used by researchers, librarians and information managers for indexing, retrieving and organizing data in agricultural information systems and Web pages. Currently, AGROVOC is an SKOS-XL concept scheme and a Linked Open Data (LOD*) set aligned with over 20 other multilingual knowledge organization systems related to agriculture. You may browse AGROVOC, access its Web Services or SPARQL endpoint.","abbreviation":"AGROVOC","support_links":[{"url":"https://dgroups.org/fao/agrovoc/join","name":"AGROVOC News mailing list","type":"Mailing list"},{"url":"https://en.wikipedia.org/wiki/AGROVOC","name":"Wikipedia","type":"Wikipedia"},{"url":"http://www.fao.org/agrovoc/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/FAOAIMS","name":"@FAOAIMS","type":"Twitter"},{"url":"https://www.fao.org/3/cb8640en/cb8640en.pdf","name":"AGROVOC Editorial Guidelines, Second edition","type":"Help documentation"},{"url":"https://www.fao.org/3/cb2838en/CB2838EN.pdf","name":"AGROVOC Semantic data interoperability on food and agriculture","type":"Help documentation"},{"url":"https://www.fao.org/agrovoc/news","type":"Blog/News"}],"year_creation":1980,"cross_references":[{"url":"http://agroportal.lirmm.fr/ontologies/AGROVOC","name":"AgroPortal:AGROVOC","portal":"AgroPortal"}]},"legacy_ids":["bsg-000720","bsg-s000720"],"name":"FAIRsharing record for: AGROVOC","abbreviation":"AGROVOC","url":"https://fairsharing.org/10.25504/FAIRsharing.anpj91","doi":"10.25504/FAIRsharing.anpj91","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts. AGROVOC consists of over 41,000 concepts available in up to 42 languages. AGROVOC uses semantic web technologies, linking to other multilingual knowledge organization systems and building bridges between datasets. Your library can use AGROVOC to index its documents or datasets, or you can use it from inside your content management system (e.g., Drupal) to organize your documents or web site. You can also use AGROVOC as an hub to access many other vocabularies available on the web. To date, AGROVOC is used by researchers, librarians and information managers for indexing, retrieving and organizing data in agricultural information systems and Web pages. Currently, AGROVOC is an SKOS-XL concept scheme and a Linked Open Data (LOD*) set aligned with over 20 other multilingual knowledge organization systems related to agriculture. You may browse AGROVOC, access its Web Services or SPARQL endpoint.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Fisheries Science","Environmental Science","Forest Management","Data Management","Agriculture","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":["thesaurus"],"countries":["Worldwide"],"publications":[{"id":576,"pubmed_id":null,"title":"The AGROVOC Linked Dataset","year":2013,"url":"http://www.semantic-web-journal.net/system/files/swj274_1.pdf","authors":"Caracciolo C., Stellato A., Morshed A., Johannsen G., Rajbhandari S., Jaques Y., Keizer J.","journal":"Semantic Web Journal","doi":null,"created_at":"2021-09-30T08:23:23.043Z","updated_at":"2021-09-30T08:23:23.043Z"},{"id":3152,"pubmed_id":null,"title":"How Agricultural Digital Innovation Can Benefit from Semantics: The Case of the AGROVOC Multilingual Thesaurus","year":2021,"url":"https://www.mdpi.com/2673-4591/9/1/17","authors":"Esther Mietzsch, Daniel Martini, Kristin Kolshus ,Andrea Turbati and Imma Subirats","journal":"Engineering Proceedings","doi":"https://doi.org/10.3390/engproc2021009017","created_at":"2021-12-10T09:53:59.393Z","updated_at":"2021-12-10T09:53:59.393Z"},{"id":3154,"pubmed_id":null,"title":"AGROVOC – Semantic data interoperability on food and agriculture","year":2021,"url":"https://www.fao.org/3/cb2838en/CB2838EN.pdf","authors":"FAO","journal":"FAO","doi":"https://doi.org/10.4060/cb2838en","created_at":"2021-12-10T09:55:15.631Z","updated_at":"2021-12-10T09:55:15.631Z"},{"id":3312,"pubmed_id":null,"title":"AGROVOC: The linked data concept hub for food and agriculture","year":2022,"url":"http://dx.doi.org/10.1016/j.compag.2020.105965","authors":"Subirats-Coll, Imma; Kolshus, Kristin; Turbati, Andrea; Stellato, Armando; Mietzsch, Esther; Martini, Daniel; Zeng, Marcia; ","journal":"Computers and Electronics in Agriculture","doi":"10.1016/j.compag.2020.105965","created_at":"2022-04-13T13:35:49.425Z","updated_at":"2022-04-13T13:35:49.425Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 IGO (CC BY 3.0 IGO)","licence_id":164,"licence_url":"https://creativecommons.org/licenses/by/3.0/igo/","link_id":2222,"relation":"undefined"}],"grants":[{"id":5602,"fairsharing_record_id":399,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:27:33.099Z","updated_at":"2021-09-30T09:27:33.099Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"400","type":"fairsharing_records","attributes":{"created_at":"2020-05-22T14:50:51.000Z","updated_at":"2022-02-08T10:40:51.064Z","metadata":{"doi":"10.25504/FAIRsharing.d0886a","name":"FAM","status":"ready","contacts":[{"contact_name":"Christopher Chang","contact_email":"chrchang@alumni.caltech.edu"}],"homepage":"https://www.cog-genomics.org/plink2/formats#fam","identifier":400,"description":"A sample information file accompanying a .bed binary genotype table.","abbreviation":"FAM"},"legacy_ids":["bsg-001480","bsg-s001480"],"name":"FAIRsharing record for: FAM","abbreviation":"FAM","url":"https://fairsharing.org/10.25504/FAIRsharing.d0886a","doi":"10.25504/FAIRsharing.d0886a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A sample information file accompanying a .bed binary genotype table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Virology","Life Science","Epidemiology"],"domains":["Biological sample","Phenotype"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"401","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:17:24.078Z","metadata":{"doi":"10.25504/FAIRsharing.1ctakh","name":"Mathematics Markup Language","status":"ready","contacts":[{"contact_name":"Bert Vos","contact_email":"bert@w3.org"}],"homepage":"http://www.w3.org/Math/","citations":[],"identifier":401,"description":"A product of the W3C Math Working Group, MathML is a low-level specification for describing mathematics as a basis for machine to machine communication which provides a much needed foundation for the inclusion of mathematical expressions in Web pages. It is also important in publishing workflows for science and technology and wherever mathematics has to be handled by software.","abbreviation":"MathML","support_links":[{"url":"http://www.w3.org/Math/mathml-faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://lists.w3.org/Archives/Public/www-math/","type":"Mailing list"},{"url":"http://www.w3.org/People/maxf/papers/iamc.ps","type":"Help documentation"},{"url":"https://www.w3.org/Math/wiki/Main_Page","type":"Help documentation"},{"url":"http://www.w3.org/Math/Overview.rss","type":"Blog/News"}],"year_creation":1997,"associated_tools":[{"url":"https://www.w3.org/Math/wiki/Tools#Browsers","name":"MathML Tool list"}]},"legacy_ids":["bsg-000571","bsg-s000571"],"name":"FAIRsharing record for: Mathematics Markup Language","abbreviation":"MathML","url":"https://fairsharing.org/10.25504/FAIRsharing.1ctakh","doi":"10.25504/FAIRsharing.1ctakh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A product of the W3C Math Working Group, MathML is a low-level specification for describing mathematics as a basis for machine to machine communication which provides a much needed foundation for the inclusion of mathematical expressions in Web pages. It is also important in publishing workflows for science and technology and wherever mathematics has to be handled by software.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11174},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12052}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Mathematics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5603,"fairsharing_record_id":401,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:33.135Z","updated_at":"2021-09-30T09:27:33.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"402","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:51.397Z","metadata":{"doi":"10.25504/FAIRsharing.peabnh","name":"Bleeding History Phenotype","status":"ready","contacts":[{"contact_name":"Shamim Mollah","contact_email":"smollah@rockefeller.edu","contact_orcid":"0000-0001-9178-8339"}],"homepage":"http://bioportal.bioontology.org/ontologies/1116","citations":[{"publication_id":2666}],"identifier":402,"description":"An application ontology devoted to the standardized recording of phenotypic data related to hemorrhagic disorders.","abbreviation":"BHO","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BHO","name":"BHO","portal":"BioPortal"}]},"legacy_ids":["bsg-002585","bsg-s002585"],"name":"FAIRsharing record for: Bleeding History Phenotype","abbreviation":"BHO","url":"https://fairsharing.org/10.25504/FAIRsharing.peabnh","doi":"10.25504/FAIRsharing.peabnh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology devoted to the standardized recording of phenotypic data related to hemorrhagic disorders.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12516}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science"],"domains":["Patient care","Phenotype","Blood"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2666,"pubmed_id":null,"title":"Creating an Ontology‐Based Human Phenotyping System: The Rockefeller University Bleeding History Experience","year":2019,"url":"https://ascpt.onlinelibrary.wiley.com/doi/10.1111/j.1752-8062.2009.00147.x","authors":"Andreas C. Mauer M.D. Edward M. Barbour M.S. Nickolay A. Khazanov M.S. Natasha Levenkova M.S. Shamim A. Mollah M.S. Barry S. Coller M.D.","journal":"Clinical and Translational Science","doi":null,"created_at":"2021-09-30T08:27:27.329Z","updated_at":"2021-09-30T08:27:27.329Z"}],"licence_links":[],"grants":[{"id":5604,"fairsharing_record_id":402,"organisation_id":210,"relation":"maintains","created_at":"2021-09-30T09:27:33.174Z","updated_at":"2021-09-30T09:27:33.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":210,"name":"BHAO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5605,"fairsharing_record_id":402,"organisation_id":1970,"relation":"funds","created_at":"2021-09-30T09:27:33.205Z","updated_at":"2021-09-30T09:28:56.279Z","grant_id":23,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"KL2RR024142","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8464,"fairsharing_record_id":402,"organisation_id":1970,"relation":"funds","created_at":"2021-09-30T09:32:45.301Z","updated_at":"2021-09-30T09:32:45.344Z","grant_id":1763,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"1U54RR023419‐01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"397","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:54:37.950Z","metadata":{"doi":"10.25504/FAIRsharing.wgfrmg","name":"Crop Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"earnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"http://www.cropontology.org/","citations":[],"identifier":397,"description":"Created in 2008 by the CGIAR, the Crop Ontology (CO; http://www.cropontology.org) is an essential source of traits and variables to support the standardization of the breeding databases such as the Integrated Breeding Platform’s BMS (IBP; https://www.integratedbreeding.net/) and the Boyce Thompson Institute’s Breedbase (https://breedbase.org/) (Arnaud et al., 2020). By providing descriptions of agronomic, morphological, physiological, quality, and stress traits along with their definitions and relationships, also including a standard nomenclature for composing the variables, the CO enables digital capture and aggregation of crop trait data, as well as comparison across projects and locations (Shrestha et al, 2012). The crop ontologies follow a conceptual model that defines a phenotypic variable as a combination of a trait, a method and a scale. This model aims at supporting the creation and management of breeders’ field books and the generation of annotated trial data. Annotated data are interpretable, interoperable and reusable. The development of a crop-specific ontology is a community-driven effort which is usually coordinated by a curator (or curators) nominated from within the community itself. CO’s Traits that are properly described following the guidelines are progressively mapped to the Planteome species-neutral Trait Ontology (TO) maintained by Oregon State University.","abbreviation":"CO","support_links":[{"url":"helpdesk@cropontology-curationtool.org","type":"Support email"},{"url":"https://cropontology.org/feedback","name":"General Contact Page","type":"Contact form"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"},{"url":"http://www.cropontology.org/about","name":"About","type":"Help documentation"},{"url":"http://genesys.cgxchange.org/gcp-crop-ontology/m-crop-ontology-curation-tool","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CO","name":"CO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/search?q=Crop+ontology","name":"Crop Ontologies in OLS","portal":"OLS"},{"url":"http://crop.agroportal.lirmm.fr/","name":"Crop Ontologies in AgroPortal","portal":"AgroPortal"}]},"legacy_ids":["bsg-002695","bsg-s002695"],"name":"FAIRsharing record for: Crop Ontology","abbreviation":"CO","url":"https://fairsharing.org/10.25504/FAIRsharing.wgfrmg","doi":"10.25504/FAIRsharing.wgfrmg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Created in 2008 by the CGIAR, the Crop Ontology (CO; http://www.cropontology.org) is an essential source of traits and variables to support the standardization of the breeding databases such as the Integrated Breeding Platform’s BMS (IBP; https://www.integratedbreeding.net/) and the Boyce Thompson Institute’s Breedbase (https://breedbase.org/) (Arnaud et al., 2020). By providing descriptions of agronomic, morphological, physiological, quality, and stress traits along with their definitions and relationships, also including a standard nomenclature for composing the variables, the CO enables digital capture and aggregation of crop trait data, as well as comparison across projects and locations (Shrestha et al, 2012). The crop ontologies follow a conceptual model that defines a phenotypic variable as a combination of a trait, a method and a scale. This model aims at supporting the creation and management of breeders’ field books and the generation of annotated trial data. Annotated data are interpretable, interoperable and reusable. The development of a crop-specific ontology is a community-driven effort which is usually coordinated by a curator (or curators) nominated from within the community itself. CO’s Traits that are properly described following the guidelines are progressively mapped to the Planteome species-neutral Trait Ontology (TO) maintained by Oregon State University.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11867},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15732},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16739}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Plant Breeding","Agriculture"],"domains":["Phenotype"],"taxonomies":["Plantae"],"user_defined_tags":["Metadata standardization","Plant Phenotypes and Traits"],"countries":["France"],"publications":[{"id":1306,"pubmed_id":22476066,"title":"Multifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature.","year":2010,"url":"http://doi.org/10.1093/aobpla/plq008","authors":"Shrestha R,Arnaud E,Mauleon R,Senger M,Davenport GF,Hancock D,Morrison N,Bruskiewich R,McLaren G","journal":"AoB Plants","doi":"10.1093/aobpla/plq008","created_at":"2021-09-30T08:24:45.859Z","updated_at":"2021-09-30T08:24:45.859Z"},{"id":2198,"pubmed_id":22934074,"title":"Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice.","year":2012,"url":"http://doi.org/10.3389/fphys.2012.00326","authors":"Shrestha R,Matteis L,Skofic M,Portugal A,McLaren G,Hyman G,Arnaud E","journal":"Front Physiol","doi":"10.3389/fphys.2012.00326","created_at":"2021-09-30T08:26:27.748Z","updated_at":"2021-09-30T08:26:27.748Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":477,"relation":"undefined"}],"grants":[{"id":5596,"fairsharing_record_id":397,"organisation_id":485,"relation":"funds","created_at":"2021-09-30T09:27:32.834Z","updated_at":"2021-09-30T09:27:32.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5595,"fairsharing_record_id":397,"organisation_id":2272,"relation":"funds","created_at":"2021-09-30T09:27:32.804Z","updated_at":"2021-09-30T09:27:32.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":5597,"fairsharing_record_id":397,"organisation_id":282,"relation":"funds","created_at":"2021-09-30T09:27:32.884Z","updated_at":"2021-09-30T09:27:32.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5599,"fairsharing_record_id":397,"organisation_id":1458,"relation":"funds","created_at":"2021-09-30T09:27:32.960Z","updated_at":"2021-09-30T09:27:32.960Z","grant_id":null,"is_lead":false,"saved_state":{"id":1458,"name":"Integrated Breeding Platform (IBP), Mexico, Mexico","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":5600,"fairsharing_record_id":397,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:27:33.001Z","updated_at":"2021-09-30T09:27:33.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5598,"fairsharing_record_id":397,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:32.924Z","updated_at":"2021-09-30T09:30:54.117Z","grant_id":926,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#1340112","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBCZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--776cb0c3be592f850fc0c898de73963446bb0785/Capture%20d%E2%80%99e%CC%81cran%202022-01-26%20a%CC%80%2013.41.07.png?disposition=inline","exhaustive_licences":false}},{"id":"398","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:35.174Z","metadata":{"doi":"10.25504/FAIRsharing.kfs4pj","name":"Pseudogene","status":"ready","contacts":[{"contact_name":"Gerstein Lab","contact_email":"yhl3@gersteinlab.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/1135","identifier":398,"description":"This ontology is about human pseudogenes, extending the existing SO framework to incorporate additional attributes. Relationships between pseudogenes and segmental duplications are defined in this standard. To answer research questions and to annotate pseudogenes appropriately, a series of logical rules using SWRL was created.","abbreviation":"Pseudo","year_creation":2008},"legacy_ids":["bsg-002579","bsg-s002579"],"name":"FAIRsharing record for: Pseudogene","abbreviation":"Pseudo","url":"https://fairsharing.org/10.25504/FAIRsharing.kfs4pj","doi":"10.25504/FAIRsharing.kfs4pj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is about human pseudogenes, extending the existing SO framework to incorporate additional attributes. Relationships between pseudogenes and segmental duplications are defined in this standard. To answer research questions and to annotate pseudogenes appropriately, a series of logical rules using SWRL was created.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Pseudogene","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1882,"pubmed_id":20529940,"title":"Using semantic web rules to reason on an ontology of pseudogenes.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq173","authors":"Holford ME,Khurana E,Cheung KH,Gerstein M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq173","created_at":"2021-09-30T08:25:51.715Z","updated_at":"2021-09-30T08:25:51.715Z"}],"licence_links":[],"grants":[{"id":5601,"fairsharing_record_id":398,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:33.061Z","updated_at":"2021-09-30T09:29:53.704Z","grant_id":455,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 DA021253","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8109,"fairsharing_record_id":398,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:00.688Z","updated_at":"2021-09-30T09:31:00.746Z","grant_id":977,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"P01 DC04732","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"381","type":"fairsharing_records","attributes":{"created_at":"2019-04-17T07:23:38.000Z","updated_at":"2024-01-28T15:58:27.773Z","metadata":{"doi":"10.25504/FAIRsharing.r7Kwy7","name":"CAS Registry Number","status":"ready","contacts":[{"contact_name":"CAS Helpdesk","contact_email":"help@cas.org"}],"homepage":"https://www.cas.org/support/documentation/chemical-substances/faqs#2","citations":[],"identifier":381,"description":"Identifier used by the Chemical Abstracts Service Registry. A CAS Registry Number is a numeric identifier that can contain up to 10 digits, divided by hyphens into three parts. The right-most digit is a check digit used to verify the validity and uniqueness of the entire number.","abbreviation":"CAS RN","support_links":[{"url":"https://www.cas.org/contact","name":"Contact","type":"Contact form"}],"cross_references":[{"url":"https://bioregistry.io/registry/cas","name":"Bioregistry","portal":"Other"},{"url":"https://registry.identifiers.org/registry/cas","name":"identifiers.org","portal":"Other"}],"regular_expression":"^\\d{1,7}\\-\\d{2}\\-\\d$"},"legacy_ids":["bsg-001363","bsg-s001363"],"name":"FAIRsharing record for: CAS Registry Number","abbreviation":"CAS RN","url":"https://fairsharing.org/10.25504/FAIRsharing.r7Kwy7","doi":"10.25504/FAIRsharing.r7Kwy7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Identifier used by the Chemical Abstracts Service Registry. A CAS Registry Number is a numeric identifier that can contain up to 10 digits, divided by hyphens into three parts. The right-most digit is a check digit used to verify the validity and uniqueness of the entire number.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11740}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Cheminformatics"],"domains":["Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3481,"pubmed_id":null,"title":"CAS Common Chemistry in 2021: Expanding Access to Trusted Chemical Information for the Scientific Community","year":2022,"url":"http://dx.doi.org/10.1021/acs.jcim.2c00268","authors":"Jacobs, Andrea; Williams, Dustin; Hickey, Katherine; Patrick, Nathan; Williams, Antony J.; Chalk, Stuart; McEwen, Leah; Willighagen, Egon; Walker, Martin; Bolton, Evan; Sinclair, Gabriel; Sanford, Adam; ","journal":"J. Chem. Inf. Model.","doi":"10.1021/acs.jcim.2c00268","created_at":"2022-07-21T06:43:02.794Z","updated_at":"2022-07-21T06:43:02.794Z"}],"licence_links":[],"grants":[{"id":5558,"fairsharing_record_id":381,"organisation_id":498,"relation":"maintains","created_at":"2021-09-30T09:27:31.689Z","updated_at":"2021-09-30T09:27:31.689Z","grant_id":null,"is_lead":true,"saved_state":{"id":498,"name":"Chemical Abstracts Service, Columbus, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"382","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:19.434Z","metadata":{"doi":"10.25504/FAIRsharing.gjn0y","name":"Quantitative Imaging Biomarker Ontology","status":"deprecated","contacts":[{"contact_name":"David Paik","contact_email":"termite@stanford.edu","contact_orcid":"0000-0002-7830-312X"}],"homepage":"http://bioportal.bioontology.org/ontologies/1671","identifier":382,"description":"An ontology that describes various concepts in quantitative imaging biomarkers.","abbreviation":"QIBO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/QIBO","name":"QIBO","portal":"BioPortal"}],"deprecation_date":"2019-06-05","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-002757","bsg-s002757"],"name":"FAIRsharing record for: Quantitative Imaging Biomarker Ontology","abbreviation":"QIBO","url":"https://fairsharing.org/10.25504/FAIRsharing.gjn0y","doi":"10.25504/FAIRsharing.gjn0y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology that describes various concepts in quantitative imaging biomarkers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Biomarker","Imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2421,"pubmed_id":23589184,"title":"Quantitative imaging biomarker ontology (QIBO) for knowledge representation of biomedical imaging biomarkers.","year":2013,"url":"http://doi.org/10.1007/s10278-013-9599-2","authors":"Buckler AJ,Liu TT,Savig E,Suzek BE,Rubin DL,Paik D","journal":"J Digit Imaging","doi":"10.1007/s10278-013-9599-2","created_at":"2021-09-30T08:26:57.068Z","updated_at":"2021-09-30T08:26:57.068Z"}],"licence_links":[],"grants":[{"id":5559,"fairsharing_record_id":382,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:31.720Z","updated_at":"2021-09-30T09:27:31.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5560,"fairsharing_record_id":382,"organisation_id":2025,"relation":"funds","created_at":"2021-09-30T09:27:31.753Z","updated_at":"2021-09-30T09:31:51.968Z","grant_id":1362,"is_lead":false,"saved_state":{"id":2025,"name":"National Institute of Standards and Technology (NIST), Gaithersburg MD, USA","grant":"70NANB10H223","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"383","type":"fairsharing_records","attributes":{"created_at":"2017-07-31T16:05:01.000Z","updated_at":"2023-02-28T10:14:00.281Z","metadata":{"doi":"10.25504/FAIRsharing.9xytp6","name":"UK Environmental Observation Framework","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"office@ukeof.org.uk"}],"homepage":"http://www.ukeof.org.uk/schema","identifier":383,"description":"This schema, expressed in XML, defines four elements which relate to the environmental monitoring object types: Programme, Activity, Network and Facility.","abbreviation":"UKEOF","support_links":[{"url":"office@ukeof.org.uk","name":"Contact email","type":"Support email"},{"url":"http://www.ukeof.org.uk/schema/1/schema-guidelines-v1","name":"schema documentation","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-000715","bsg-s000715"],"name":"FAIRsharing record for: UK Environmental Observation Framework","abbreviation":"UKEOF","url":"https://fairsharing.org/10.25504/FAIRsharing.9xytp6","doi":"10.25504/FAIRsharing.9xytp6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This schema, expressed in XML, defines four elements which relate to the environmental monitoring object types: Programme, Activity, Network and Facility.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geology","Natural Science"],"domains":["Climate","Observation design"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5563,"fairsharing_record_id":383,"organisation_id":664,"relation":"funds","created_at":"2021-09-30T09:27:31.826Z","updated_at":"2021-09-30T09:27:31.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":664,"name":"Department for Environment, Food \u0026 Rural Affairs, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5561,"fairsharing_record_id":383,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:31.777Z","updated_at":"2021-09-30T09:27:31.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5562,"fairsharing_record_id":383,"organisation_id":2896,"relation":"maintains","created_at":"2021-09-30T09:27:31.803Z","updated_at":"2021-09-30T09:27:31.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":2896,"name":"UK Environmental Observations Framework","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"409","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-24T08:34:05.344Z","metadata":{"doi":"10.25504/FAIRsharing.atygwy","name":"Web Ontology Language","status":"ready","contacts":[{"contact_name":"OWL Mailing List and General Contact","contact_email":"public-owl-dev@w3.org","contact_orcid":null}],"homepage":"http://www.w3.org/TR/owl-overview/","citations":[],"identifier":409,"description":"The Web Ontology Language (OWL) is a family of knowledge representation languages or ontology languages for authoring ontologies or knowledge bases. The languages are characterized by formal semantics and RDF/XML-based serializations for the Semantic Web. OWL is endorsed by the World Wide Web Consortium (W3C) and has attracted academic, medical and commercial interest. The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents.","abbreviation":"OWL","support_links":[{"url":"team-owl-chairs@w3.org","type":"Support email"},{"url":"http://www.w3.org/blog/tags/owl/","type":"Help documentation"},{"url":"public-owl-comments@w3.org","type":"Mailing list"},{"url":"public-owl-dev@w3.org","type":"Mailing list"},{"url":"http://www.w3.org/TR/owl-guide/","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000560","bsg-s000560"],"name":"FAIRsharing record for: Web Ontology Language","abbreviation":"OWL","url":"https://fairsharing.org/10.25504/FAIRsharing.atygwy","doi":"10.25504/FAIRsharing.atygwy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Web Ontology Language (OWL) is a family of knowledge representation languages or ontology languages for authoring ontologies or knowledge bases. The languages are characterized by formal semantics and RDF/XML-based serializations for the Semantic Web. OWL is endorsed by the World Wide Web Consortium (W3C) and has attracted academic, medical and commercial interest. The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14569}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics","Computer Science","Subject Agnostic","Ontology and Terminology"],"domains":["Knowledge representation"],"taxonomies":["All"],"user_defined_tags":["Semantic"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":3612,"relation":"applies_to_content"}],"grants":[{"id":11748,"fairsharing_record_id":409,"organisation_id":4352,"relation":"maintains","created_at":"2024-04-24T08:24:40.975Z","updated_at":"2024-04-24T08:24:40.975Z","grant_id":null,"is_lead":true,"saved_state":{"id":4352,"name":"W3C OWL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2tFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1d9ee85d5894ce8bf8669ee55cc06508c00a2ffb/Screenshot%20from%202024-04-24%2009-19-48.png?disposition=inline","exhaustive_licences":true}},{"id":"410","type":"fairsharing_records","attributes":{"created_at":"2017-09-15T13:44:36.000Z","updated_at":"2021-11-24T13:17:40.089Z","metadata":{"doi":"10.25504/FAIRsharing.es2t25","name":"Asset Description Metadata Schema","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"isa2@ec.europa.eu"}],"homepage":"https://joinup.ec.europa.eu/asset/adms/description","identifier":410,"description":"ADMS is a schema used to describe data models and specifications, reference data and open source software. The standard aims to extend the use of ADMS for the description of other types of interoperability solutions, meaning solutions covering the political, legal, organisational and technical interoperability layers defined by the European Interoperability Framework.","abbreviation":"ADMS","support_links":[{"url":"https://joinup.ec.europa.eu/contact","name":"Joinup Contact","type":"Contact form"},{"url":"https://www.w3.org/TR/vocab-adms/","name":"W3C Note","type":"Help documentation"},{"url":"https://joinup.ec.europa.eu/release/adms-ap-joinup-version/20","name":"Documentation for v2","type":"Help documentation"},{"url":"https://twitter.com/Joinup_eu","name":"Twitter","type":"Twitter"}],"year_creation":2011},"legacy_ids":["bsg-000719","bsg-s000719"],"name":"FAIRsharing record for: Asset Description Metadata Schema","abbreviation":"ADMS","url":"https://fairsharing.org/10.25504/FAIRsharing.es2t25","doi":"10.25504/FAIRsharing.es2t25","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ADMS is a schema used to describe data models and specifications, reference data and open source software. The standard aims to extend the use of ADMS for the description of other types of interoperability solutions, meaning solutions covering the political, legal, organisational and technical interoperability layers defined by the European Interoperability Framework.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"ISA Open Metadata Legal Notice","licence_id":454,"licence_url":"https://joinup.ec.europa.eu/joinup/legal-notice","link_id":1259,"relation":"undefined"}],"grants":[{"id":5624,"fairsharing_record_id":410,"organisation_id":1553,"relation":"maintains","created_at":"2021-09-30T09:27:33.838Z","updated_at":"2021-09-30T09:27:33.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":1553,"name":"ISA Programme","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"458","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:52.563Z","metadata":{"doi":"10.25504/FAIRsharing.975659","name":"PRIDE XML Format","status":"ready","contacts":[{"contact_name":"Henning Hermjakob","contact_email":"hhe@ebi.ac.uk","contact_orcid":"0000-0001-8479-0262"}],"homepage":"http://www.ebi.ac.uk/pride/help/archive/submission/pridexml","identifier":458,"description":"XML submission format for the PRIDE repository at the EBI.","abbreviation":"PRIDE XML Format","support_links":[{"url":"pride-support@ebi.ac.uk","name":"PRIDE Helpdesk","type":"Support email"}],"year_creation":2004,"associated_tools":[{"url":"https://github.com/PRIDE-Toolsuite/pride-inspector","name":"PRIDE Inspector"},{"url":"https://github.com/PRIDE-Toolsuite/pride-converter-2","name":"PRIDE Converter 2"}]},"legacy_ids":["bsg-000561","bsg-s000561"],"name":"FAIRsharing record for: PRIDE XML Format","abbreviation":"PRIDE XML Format","url":"https://fairsharing.org/10.25504/FAIRsharing.975659","doi":"10.25504/FAIRsharing.975659","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML submission format for the PRIDE repository at the EBI.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11200}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics"],"domains":["Mass spectrum","Protein expression profiling"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":99,"pubmed_id":24727771,"title":"ProteomeXchange provides globally coordinated proteomics data submission and dissemination.","year":2014,"url":"http://doi.org/10.1038/nbt.2839","authors":"Vizcaíno JA, Deutsch EW, Wang R, et al.","journal":"Nat Biotechnol.","doi":"10.1038/nbt.2839","created_at":"2021-09-30T08:22:31.122Z","updated_at":"2021-09-30T08:22:31.122Z"},{"id":556,"pubmed_id":25047258,"title":"How to submit MS proteomics data to ProteomeXchange via the PRIDE database.","year":2014,"url":"http://doi.org/10.1002/pmic.201400120","authors":"Ternent T,Csordas A,Qi D,Gomez-Baena G,Beynon RJ,Jones AR,Hermjakob H,Vizcaino JA","journal":"Proteomics","doi":"10.1002/pmic.201400120","created_at":"2021-09-30T08:23:20.710Z","updated_at":"2021-09-30T08:23:20.710Z"},{"id":1277,"pubmed_id":26527722,"title":"2016 update of the PRIDE database and its related tools.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1145","authors":"Vizcaino JA,Csordas A,del-Toro N,Dianes JA,Griss J,Lavidas I,Mayer G,Perez-Riverol Y,Reisinger F,Ternent T,Xu QW,Wang R,Hermjakob H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1145","created_at":"2021-09-30T08:24:42.539Z","updated_at":"2021-09-30T11:29:05.176Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1053,"relation":"undefined"}],"grants":[{"id":5702,"fairsharing_record_id":458,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:36.282Z","updated_at":"2021-09-30T09:27:36.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5703,"fairsharing_record_id":458,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:36.306Z","updated_at":"2021-09-30T09:30:31.551Z","grant_id":747,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K01997X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8285,"fairsharing_record_id":458,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:54.389Z","updated_at":"2021-09-30T09:31:54.462Z","grant_id":1380,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I00095X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5700,"fairsharing_record_id":458,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:36.232Z","updated_at":"2021-09-30T09:27:36.232Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5701,"fairsharing_record_id":458,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:36.256Z","updated_at":"2021-09-30T09:31:07.322Z","grant_id":1026,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT101477MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8305,"fairsharing_record_id":458,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:00.505Z","updated_at":"2021-09-30T09:32:00.579Z","grant_id":1426,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024225/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"459","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-12-23T18:07:14.016Z","metadata":{"doi":"10.25504/FAIRsharing.d8f1x9","name":"Research Network and Patient Registry Inventory Ontology","status":"ready","contacts":[{"contact_name":"Seena Farzaneh","contact_email":"sfarzaneh@ucsd.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/RNPRIO","citations":[],"identifier":459,"description":"Ontology for Inventories of Clinical Data Research Networks, Patient-Powered Research Networks, and Patient Registries","abbreviation":"RNPRIO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RNPRIO","name":"RNPRIO","portal":"BioPortal"}]},"legacy_ids":["bsg-001040","bsg-s001040"],"name":"FAIRsharing record for: Research Network and Patient Registry Inventory Ontology","abbreviation":"RNPRIO","url":"https://fairsharing.org/10.25504/FAIRsharing.d8f1x9","doi":"10.25504/FAIRsharing.d8f1x9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for Inventories of Clinical Data Research Networks, Patient-Powered Research Networks, and Patient Registries","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Clinical Studies","Data Management","Medical Informatics"],"domains":["Monitoring","Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"461","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:07.940Z","metadata":{"doi":"10.25504/FAIRsharing.shm2f2","name":"Radiology Lexicon","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"radlexfeedback@rsna.org"}],"homepage":"https://www.rsna.org/en/practice-tools/data-tools-and-standards/radlex-radiology-lexicon","identifier":461,"description":"RadLex is a comprehensive lexicon—a unified language of radiology terms—for standardized indexing and retrieval of radiology information resources. With more than 68,000 terms, RadLex satisfies the needs of software developers, system vendors and radiology users by adopting the best features of existing terminology systems while producing new terms to fill critical gaps. RadLex also provides a comprehensive and technology-friendly replacement for the ACR Index for Radiological Diagnoses. It unifies and supplements other lexicons and standards, such as SNOMED-CT and DICOM. RadLex development has received support from both the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and the cancer Biomedical Informatics Grid (caBIG) project.","abbreviation":"RadLex","support_links":[{"url":"https://docs.google.com/document/d/10zRIBkXyj1eLt3LS_A7w3gSGRedXXoYvucH6H4trCZY/edit?hl=en#","type":"Help documentation"}],"year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RADLEX","name":"RADLEX","portal":"BioPortal"}]},"legacy_ids":["bsg-002633","bsg-s002633"],"name":"FAIRsharing record for: Radiology Lexicon","abbreviation":"RadLex","url":"https://fairsharing.org/10.25504/FAIRsharing.shm2f2","doi":"10.25504/FAIRsharing.shm2f2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RadLex is a comprehensive lexicon—a unified language of radiology terms—for standardized indexing and retrieval of radiology information resources. With more than 68,000 terms, RadLex satisfies the needs of software developers, system vendors and radiology users by adopting the best features of existing terminology systems while producing new terms to fill critical gaps. RadLex also provides a comprehensive and technology-friendly replacement for the ACR Index for Radiological Diagnoses. It unifies and supplements other lexicons and standards, such as SNOMED-CT and DICOM. RadLex development has received support from both the National Institute of Biomedical Imaging and Bioengineering (NIBIB) and the cancer Biomedical Informatics Grid (caBIG) project.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18158},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12080},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12500}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Radiology","Clinical Studies","Biomedical Science","Medical Informatics"],"domains":["Medical imaging","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":650,"pubmed_id":10789815,"title":"Radiology lexicon.","year":2000,"url":"http://doi.org/10.2214/ajr.174.5.1741463","authors":"Casford B","journal":"AJR Am J Roentgenol","doi":"10.2214/ajr.174.5.1741463","created_at":"2021-09-30T08:23:31.586Z","updated_at":"2021-09-30T08:23:31.586Z"},{"id":2639,"pubmed_id":19081735,"title":"The IR RadLex project: an interventional radiology lexicon--a collaborative project of the Radiological Society of North America and the Society of Interventional Radiology.","year":2008,"url":"http://doi.org/10.1016/j.jvir.2008.10.022","authors":"Kundu S,Itkin M,Gervais DA,Krishnamurthy VN,Wallace MJ,Cardella JF,Rubin DL,Langlotz CP","journal":"J Vasc Interv Radiol","doi":"10.1016/j.jvir.2008.10.022","created_at":"2021-09-30T08:27:24.105Z","updated_at":"2021-09-30T08:27:24.105Z"},{"id":2640,"pubmed_id":19560008,"title":"The IR Radlex Project: an interventional radiology lexicon--a collaborative project of the Radiological Society of North America and the Society of Interventional Radiology.","year":2009,"url":"http://doi.org/10.1016/j.jvir.2009.04.031","authors":"Kundu S,Itkin M,Gervais DA,Krishnamurthy VN,Wallace MJ,Cardella JF,Rubin DL,Langlotz CP","journal":"J Vasc Interv Radiol","doi":"10.1016/j.jvir.2009.04.031","created_at":"2021-09-30T08:27:24.223Z","updated_at":"2021-09-30T08:27:24.223Z"}],"licence_links":[{"licence_name":"RadLex License Version 2.0","licence_id":696,"licence_url":"http://www.rsna.org/uploadedFiles/RSNA/Content/Informatics/RadLex_License_Agreement_and_Terms_of_Use_V2_Final.pdf","link_id":1465,"relation":"undefined"}],"grants":[{"id":5704,"fairsharing_record_id":461,"organisation_id":2400,"relation":"maintains","created_at":"2021-09-30T09:27:36.332Z","updated_at":"2021-09-30T09:27:36.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2400,"name":"Radiological Society of North America","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"463","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:25:43.000Z","updated_at":"2022-07-20T12:10:58.295Z","metadata":{"name":"Country and Location Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_705:ROOT","citations":[],"identifier":463,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Country and Location Ontology is one of these reference ontologies integrated within the Crop Ontology. It has been adapted from ISO 3166-1 country codes and covers the official ISO 3166-1 alpha-2, alpha-3 and numeric country codes.","abbreviation":"CO_705","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2007,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001173","bsg-s001173"],"name":"FAIRsharing record for: Country and Location Ontology","abbreviation":"CO_705","url":"https://fairsharing.org/fairsharing_records/463","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Country and Location Ontology is one of these reference ontologies integrated within the Crop Ontology. It has been adapted from ISO 3166-1 country codes and covers the official ISO 3166-1 alpha-2, alpha-3 and numeric country codes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography","Subject Agnostic"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Mexico","Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":481,"relation":"undefined"}],"grants":[{"id":5707,"fairsharing_record_id":463,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:27:36.406Z","updated_at":"2021-09-30T09:27:36.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5708,"fairsharing_record_id":463,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:36.433Z","updated_at":"2021-09-30T09:27:36.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"464","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-22T11:44:44.361Z","metadata":{"doi":"10.25504/FAIRsharing.z2cz7s","name":"Molgula oculata Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself.communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":464,"description":"The first ontology describing the anatomy and the development of Molgula oculata.","abbreviation":"MOOCULADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOOCULADO","name":"MOOCULADO","portal":"BioPortal"}]},"legacy_ids":["bsg-001045","bsg-s001045"],"name":"FAIRsharing record for: Molgula oculata Anatomy and Development Ontology","abbreviation":"MOOCULADO","url":"https://fairsharing.org/10.25504/FAIRsharing.z2cz7s","doi":"10.25504/FAIRsharing.z2cz7s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Molgula oculata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Molgula oculata"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10441,"fairsharing_record_id":464,"organisation_id":1974,"relation":"funds","created_at":"2023-03-22T10:48:07.576Z","updated_at":"2023-03-22T10:48:07.576Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"465","type":"fairsharing_records","attributes":{"created_at":"2019-01-21T20:25:46.000Z","updated_at":"2022-11-01T11:58:13.126Z","metadata":{"doi":"10.25504/FAIRsharing.TUq8Zj","name":"FAIR Metrics - Identifier Persistence","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F1B","citations":[],"identifier":465,"description":"The FM-F1B Metric provides information regarding whether or not there is a policy that describes what the provider will do in the event an identifier scheme becomes deprecated. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must ensure that they have a policy to manage changes in their identifier scheme, with a specific emphasis on maintaining/redirecting previously generated identifiers. This metric applies to part F1 of the FAIR Principles.","abbreviation":"FM-F1B","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001342","bsg-s001342"],"name":"FAIRsharing record for: FAIR Metrics - Identifier Persistence","abbreviation":"FM-F1B","url":"https://fairsharing.org/10.25504/FAIRsharing.TUq8Zj","doi":"10.25504/FAIRsharing.TUq8Zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FM-F1B Metric provides information regarding whether or not there is a policy that describes what the provider will do in the event an identifier scheme becomes deprecated. The change to an identifier scheme will have widespread implications for resource lookup, linking, and data sharing. Providers of digital resources must ensure that they have a policy to manage changes in their identifier scheme, with a specific emphasis on maintaining/redirecting previously generated identifiers. This metric applies to part F1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Subject Agnostic"],"domains":["Data identity and mapping","Centrally registered identifier","Digital curation","Data storage","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Data persistence"],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1281,"relation":"undefined"}],"grants":[{"id":5710,"fairsharing_record_id":465,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:36.482Z","updated_at":"2021-09-30T09:27:36.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5709,"fairsharing_record_id":465,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:36.456Z","updated_at":"2021-09-30T09:27:36.456Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5711,"fairsharing_record_id":465,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:36.506Z","updated_at":"2021-09-30T09:27:36.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5712,"fairsharing_record_id":465,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:36.533Z","updated_at":"2021-09-30T09:27:36.533Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"466","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T03:31:45.000Z","updated_at":"2023-03-15T07:53:07.614Z","metadata":{"name":"FFIS Funder Draft Metadata Specification","status":"in_development","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu","contact_orcid":"0000-0001-6875-5360"}],"homepage":"https://openview.metadatacenter.org/templates/https:%2F%2Frepo.metadatacenter.org%2Ftemplates%2F352a29d7-3df8-4bdd-bd75-e09d16c7063d","citations":[],"identifier":466,"description":"This is the second draft of Funder Metadata specification for the GO FAIR project. It is being used as the basis of a more complete specification for the FAIR Funder Implementation Study.","abbreviation":"FFIS-FunderMD-Draft","year_creation":2019},"legacy_ids":["bsg-001398","bsg-s001398"],"name":"FAIRsharing record for: FFIS Funder Draft Metadata Specification","abbreviation":"FFIS-FunderMD-Draft","url":"https://fairsharing.org/fairsharing_records/466","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is the second draft of Funder Metadata specification for the GO FAIR project. It is being used as the basis of a more complete specification for the FAIR Funder Implementation Study.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Resource metadata","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Document metadata"],"countries":["Ireland","Netherlands","United States"],"publications":[],"licence_links":[],"grants":[{"id":5713,"fairsharing_record_id":466,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:27:36.556Z","updated_at":"2021-09-30T09:27:36.556Z","grant_id":null,"is_lead":true,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5714,"fairsharing_record_id":466,"organisation_id":1187,"relation":"maintains","created_at":"2021-09-30T09:27:36.582Z","updated_at":"2021-09-30T09:27:36.582Z","grant_id":null,"is_lead":true,"saved_state":{"id":1187,"name":"GO FAIR","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"467","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:37:11.000Z","updated_at":"2022-07-20T11:54:28.032Z","metadata":{"name":"Bioversity Molecular Markers Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_500:ROOT","citations":[],"identifier":467,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Bioversity Molecular Markers Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Genetic Markers Technologies (2004) by Carmen De Vicente, Thomas Metz and Adriana Alercia.","abbreviation":"CO_500","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2007,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001174","bsg-s001174"],"name":"FAIRsharing record for: Bioversity Molecular Markers Ontology","abbreviation":"CO_500","url":"https://fairsharing.org/fairsharing_records/467","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Bioversity Molecular Markers Ontology is one of these reference plant ontologies integrated within the Crop Ontology. It has been adapted from Descriptors for Genetic Markers Technologies (2004) by Carmen De Vicente, Thomas Metz and Adriana Alercia.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Genetic marker"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Mexico","Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":561,"relation":"undefined"}],"grants":[{"id":5716,"fairsharing_record_id":467,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:36.655Z","updated_at":"2021-09-30T09:27:36.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5715,"fairsharing_record_id":467,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:36.613Z","updated_at":"2021-09-30T09:27:36.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"468","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-07-22T19:20:46.943Z","metadata":{"doi":"10.25504/FAIRsharing.80d8cg","name":"An ontology for experimental actions","status":"ready","contacts":[{"contact_name":"Larisa Soldatova","contact_email":"soldatova.larisa@gmail.com"}],"homepage":"https://github.com/larisa-soldatova/EXACT","citations":[],"identifier":468,"description":"EXACT aims to explicitly define the semantics of experimental protocols in order to ensure their reproducibility, and to support computer applications that assist biologists in the preparation, maintenance, submission and sharing of experimental protocols.","abbreviation":"EXACT","support_links":[{"url":"https://www.aber.ac.uk/en/cs/research/cb/dss/exact/","name":"Project page (Aberystwyth University)","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EXACT","name":"EXACT","portal":"BioPortal"}]},"legacy_ids":["bsg-001046","bsg-s001046"],"name":"FAIRsharing record for: An ontology for experimental actions","abbreviation":"EXACT","url":"https://fairsharing.org/10.25504/FAIRsharing.80d8cg","doi":"10.25504/FAIRsharing.80d8cg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EXACT aims to explicitly define the semantics of experimental protocols in order to ensure their reproducibility, and to support computer applications that assist biologists in the preparation, maintenance, submission and sharing of experimental protocols.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Experimental measurement","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":3493,"pubmed_id":null,"title":"The EXACT description of biomedical protocols","year":2008,"url":"http://dx.doi.org/10.1093/bioinformatics/btn156","authors":"Soldatova, L. N.; Aubrey, W.; King, R. D.; Clare, A.; ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn156","created_at":"2022-07-22T12:59:44.753Z","updated_at":"2022-07-22T12:59:44.753Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"470","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:16:46.203Z","metadata":{"doi":"10.25504/FAIRsharing.aef0q5","name":"Cognitive Atlas","status":"ready","contacts":[{"contact_name":"Russell Poldrack","contact_email":"poldrack@mail.utexas.edu","contact_orcid":"0000-0001-6755-0259"}],"homepage":"http://www.cognitiveatlas.org/","identifier":470,"description":"The Cognitive Atlas is a collaborative knowledge building project that aims to develop a knowledge base (or ontology) that characterizes the state of current thought in cognitive science. Cognitive neuroscience aims to map mental processes onto brain function, which begs the question of what \"mental processes\" exist and how they relate to the tasks that are used to manipulate and measure them.","abbreviation":"CogAt","support_links":[{"url":"http://blog.cognitiveatlas.org/","type":"Blog/News"},{"url":"http://www.cognitiveatlas.org/about","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COGAT","name":"COGAT","portal":"BioPortal"}]},"legacy_ids":["bsg-002730","bsg-s002730"],"name":"FAIRsharing record for: Cognitive Atlas","abbreviation":"CogAt","url":"https://fairsharing.org/10.25504/FAIRsharing.aef0q5","doi":"10.25504/FAIRsharing.aef0q5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cognitive Atlas is a collaborative knowledge building project that aims to develop a knowledge base (or ontology) that characterizes the state of current thought in cognitive science. Cognitive neuroscience aims to map mental processes onto brain function, which begs the question of what \"mental processes\" exist and how they relate to the tasks that are used to manipulate and measure them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Cognitive Neuroscience","Biomedical Science"],"domains":["Behavior","Cognition","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1121,"pubmed_id":21922006,"title":"The cognitive atlas: toward a knowledge foundation for cognitive neuroscience.","year":2011,"url":"http://doi.org/10.3389/fninf.2011.00017","authors":"Poldrack RA,Kittur A,Kalar D,Miller E,Seppa C,Gil Y,Parker DS,Sabb FW,Bilder RM","journal":"Front Neuroinform","doi":"10.3389/fninf.2011.00017","created_at":"2021-09-30T08:24:24.172Z","updated_at":"2021-09-30T08:24:24.172Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 United States (CC BY-SA 3.0 US)","licence_id":193,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/us/","link_id":274,"relation":"undefined"}],"grants":[{"id":5717,"fairsharing_record_id":470,"organisation_id":2112,"relation":"funds","created_at":"2021-09-30T09:27:36.696Z","updated_at":"2022-01-16T08:34:40.003Z","grant_id":239,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","grant":"UL1-DE019580","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8106,"fairsharing_record_id":470,"organisation_id":2112,"relation":"funds","created_at":"2021-09-30T09:30:59.622Z","updated_at":"2022-01-16T08:34:40.020Z","grant_id":969,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","grant":"RL1LM009833","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5718,"fairsharing_record_id":470,"organisation_id":547,"relation":"maintains","created_at":"2021-09-30T09:27:36.735Z","updated_at":"2021-09-30T09:27:36.735Z","grant_id":null,"is_lead":false,"saved_state":{"id":547,"name":"Cognitive Atlas (COGAT) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5719,"fairsharing_record_id":470,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:27:36.769Z","updated_at":"2021-09-30T09:30:12.163Z","grant_id":596,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"RO1MH082795","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7928,"fairsharing_record_id":470,"organisation_id":2112,"relation":"funds","created_at":"2021-09-30T09:29:51.350Z","updated_at":"2022-01-16T08:34:40.084Z","grant_id":437,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","grant":"PL1MH083271","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"471","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.174Z","metadata":{"doi":"10.25504/FAIRsharing.bst9e4","name":"Traditional Medicine Constitution Value Set","status":"ready","contacts":[{"contact_name":"Meri Robinson Nicol","contact_email":"robinsonm@who.int"}],"homepage":"https://sites.google.com/site/whoictm/home","identifier":471,"description":"The value set for the Constitution property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-CONST","support_links":[{"url":"tudorache@stanford.edu","name":"Tania Tudorache","type":"Support email"},{"url":"http://phoenix-local-news.blogspot.fr/2010/12/first-ever-information-standards-for.html","type":"Help documentation"},{"url":"http://www.acupuncturetoday.com/mpacms/at/article.php?id=32456","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-CONST","name":"TM-CONST","portal":"BioPortal"}]},"legacy_ids":["bsg-002703","bsg-s002703"],"name":"FAIRsharing record for: Traditional Medicine Constitution Value Set","abbreviation":"TM-CONST","url":"https://fairsharing.org/10.25504/FAIRsharing.bst9e4","doi":"10.25504/FAIRsharing.bst9e4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The value set for the Constitution property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5720,"fairsharing_record_id":471,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:36.807Z","updated_at":"2021-09-30T09:27:36.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5721,"fairsharing_record_id":471,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:27:36.871Z","updated_at":"2021-09-30T09:27:36.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"472","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:45:31.898Z","metadata":{"doi":"10.25504/FAIRsharing.n3rt95","name":"HMMER Profile File Format","status":"ready","contacts":[{"contact_name":"Robert D Finn","contact_email":"rdf@ebi.ac.uk"}],"homepage":"http://www.hmmer.org","citations":[{"doi":"10.1093/nar/gkv397","pubmed_id":25943547,"publication_id":1767}],"identifier":472,"description":"The profile hidden Markov Model (HMM) calculated from multiple sequence alignment data in this service is stored in Profile HMM save format (usually with \".hmm\" extension). It is an ASCII file containing a lot of header and descriptive records followed by large numerical matrix which holds a probabilistic model of the motif. The file of this format is useful to search against sequence databases to find other proteins which share the same motif.","abbreviation":null,"support_links":[{"url":"https://cryptogenomicon.org/category/hmmer/","name":"HMMER Blog","type":"Blog/News"},{"url":"http://www.hmmer.org/publications.html","name":"Publications","type":"Help documentation"},{"url":"http://www.hmmer.org/documentation.html","name":"HMMER Documentation","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/similarity-searching-multiple-sequence-alignment-and-protein-families-undergraduate-lab","name":"Similarity searching, multiple sequence alignment and protein families - undergraduate lab","type":"TeSS links to training materials"}],"year_creation":1993},"legacy_ids":["bsg-000239","bsg-s000239"],"name":"FAIRsharing record for: HMMER Profile File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.n3rt95","doi":"10.25504/FAIRsharing.n3rt95","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The profile hidden Markov Model (HMM) calculated from multiple sequence alignment data in this service is stored in Profile HMM save format (usually with \".hmm\" extension). It is an ASCII file containing a lot of header and descriptive records followed by large numerical matrix which holds a probabilistic model of the motif. The file of this format is useful to search against sequence databases to find other proteins which share the same motif.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Hidden Markov model","Multiple sequence alignment","Genetic polymorphism","Amino acid sequence","Homologous","Sequence motif"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1767,"pubmed_id":25943547,"title":"HMMER web server: 2015 update.","year":2015,"url":"http://doi.org/10.1093/nar/gkv397","authors":"Finn RD,Clements J,Arndt W,Miller BL,Wheeler TJ,Schreiber F,Bateman A,Eddy SR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv397","created_at":"2021-09-30T08:25:38.228Z","updated_at":"2021-09-30T11:29:20.394Z"},{"id":1803,"pubmed_id":15831105,"title":"Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-99","authors":"Wistrand M,Sonnhammer EL","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-99","created_at":"2021-09-30T08:25:42.438Z","updated_at":"2021-09-30T08:25:42.438Z"}],"licence_links":[],"grants":[{"id":5723,"fairsharing_record_id":472,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:36.955Z","updated_at":"2021-09-30T09:29:24.371Z","grant_id":234,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"108433/Z/15/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5722,"fairsharing_record_id":472,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:36.914Z","updated_at":"2021-09-30T09:27:36.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5725,"fairsharing_record_id":472,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:27:37.026Z","updated_at":"2021-09-30T09:27:37.026Z","grant_id":null,"is_lead":true,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5726,"fairsharing_record_id":472,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:27:37.049Z","updated_at":"2021-09-30T09:27:37.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9232,"fairsharing_record_id":472,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.117Z","updated_at":"2022-04-11T12:07:24.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"473","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.260Z","metadata":{"doi":"10.25504/FAIRsharing.5dvejq","name":"Traditional Medicine Other Factors Value Set","status":"ready","contacts":[{"contact_name":"Tania Tudorache","contact_email":"tudorache@stanford.edu"}],"homepage":"https://sites.google.com/site/whoictm/home","identifier":473,"description":"The value set for the Other Factors property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-OTHER-FACTORS","support_links":[{"url":"https://sites.google.com/site/whoictm/press","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-OTHER-FACTORS","name":"TM-OTHER-FACTORS","portal":"BioPortal"}]},"legacy_ids":["bsg-002704","bsg-s002704"],"name":"FAIRsharing record for: Traditional Medicine Other Factors Value Set","abbreviation":"TM-OTHER-FACTORS","url":"https://fairsharing.org/10.25504/FAIRsharing.5dvejq","doi":"10.25504/FAIRsharing.5dvejq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The value set for the Other Factors property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":703,"relation":"undefined"}],"grants":[{"id":5727,"fairsharing_record_id":473,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:27:37.074Z","updated_at":"2021-09-30T09:27:37.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5728,"fairsharing_record_id":473,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:27:37.102Z","updated_at":"2021-09-30T09:27:37.102Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"479","type":"fairsharing_records","attributes":{"created_at":"2021-06-16T20:46:46.000Z","updated_at":"2022-07-20T11:26:03.940Z","metadata":{"name":"LUMC Clinical Ontology","status":"in_development","contacts":[{"contact_name":"Núria Queralt Rosinach","contact_email":"nqueralt.r@gmail.com","contact_orcid":"0000-0003-0169-8159"}],"homepage":"https://lumc-biosemantics.github.io/beat-covid/docs/LUMC-Clinical-Ontology.html","identifier":479,"description":"The LUMC clinical ontology is a standard for efficient biomedical research in academic hospitals such as the LUMC. It is an ontology represented in OWL, a Semantic Web W3C recommended standard, to facilitate meaningful integration of different patient data within a hospital as well as to improve interoperability of clinical data, i.e. the “I” in the FAIR principles, for queries across external Linked Open Data and other clinical datasets from other hospitals on the Web.","abbreviation":"LCO","support_links":[{"url":"https://github.com/LUMC-BioSemantics/beat-covid/tree/master/fair-data-model/lumc-clinical-ontology/competency-questions","name":"Competency Questions","type":"Github"},{"url":"https://github.com/LUMC-BioSemantics/beat-covid/tree/master/fair-data-model/lumc-clinical-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2021},"legacy_ids":["bsg-001616","bsg-s001616"],"name":"FAIRsharing record for: LUMC Clinical Ontology","abbreviation":"LCO","url":"https://fairsharing.org/fairsharing_records/479","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LUMC clinical ontology is a standard for efficient biomedical research in academic hospitals such as the LUMC. It is an ontology represented in OWL, a Semantic Web W3C recommended standard, to facilitate meaningful integration of different patient data within a hospital as well as to improve interoperability of clinical data, i.e. the “I” in the FAIR principles, for queries across external Linked Open Data and other clinical datasets from other hospitals on the Web.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Medical Informatics"],"domains":["Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":5733,"fairsharing_record_id":479,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:27:37.240Z","updated_at":"2021-09-30T09:27:37.240Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"481","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-12-27T17:16:48.183Z","metadata":{"doi":"10.25504/FAIRsharing.y4z3tx","name":"Clinical Study Ontology","status":"ready","contacts":[{"contact_name":"Cameron Coffran","contact_email":"cameron@rockefeller.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/CSO","citations":[],"identifier":481,"description":"Ontology to describe general clinical studies.","abbreviation":"CSO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSO","name":"CSO","portal":"BioPortal"}]},"legacy_ids":["bsg-001053","bsg-s001053"],"name":"FAIRsharing record for: Clinical Study Ontology","abbreviation":"CSO","url":"https://fairsharing.org/10.25504/FAIRsharing.y4z3tx","doi":"10.25504/FAIRsharing.y4z3tx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology to describe general clinical studies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Medical Informatics"],"domains":["Monitoring","Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"482","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:36.583Z","metadata":{"doi":"10.25504/FAIRsharing.3pxg2f","name":"Axt Alignment Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/axt.html","identifier":482,"description":"Axt Alignment files are produced from Blastz, an alignment tool available from Webb Miller's lab at Penn State University. The axtNet and axtChain alignments are produced by processing the alignment files with additional utilities written by Jim Kent at UCSC.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000209","bsg-s000209"],"name":"FAIRsharing record for: Axt Alignment Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.3pxg2f","doi":"10.25504/FAIRsharing.3pxg2f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Axt Alignment files are produced from Blastz, an alignment tool available from Webb Miller's lab at Penn State University. The axtNet and axtChain alignments are produced by processing the alignment files with additional utilities written by Jim Kent at UCSC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5735,"fairsharing_record_id":482,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:37.291Z","updated_at":"2021-09-30T09:27:37.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"483","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2022-12-23T18:07:06.913Z","metadata":{"doi":"10.25504/FAIRsharing.np2wfz","name":"Zebrafish Experimental Conditions Ontology","status":"ready","contacts":[{"contact_name":"Yvonne Bradford","contact_email":"ybradford@zfin.org"}],"homepage":"https://github.com/ybradford/zebrafish-experimental-conditions-ontology","citations":[],"identifier":483,"description":"This ontology is designed to represent the experimental conditions applied to zebrafish and has been developed to facilitate experiment condition annotation at ZFIN.","abbreviation":"ZECO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZECO","name":"ZECO","portal":"BioPortal"}]},"legacy_ids":["bsg-001054","bsg-s001054"],"name":"FAIRsharing record for: Zebrafish Experimental Conditions Ontology","abbreviation":"ZECO","url":"https://fairsharing.org/10.25504/FAIRsharing.np2wfz","doi":"10.25504/FAIRsharing.np2wfz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is designed to represent the experimental conditions applied to zebrafish and has been developed to facilitate experiment condition annotation at ZFIN.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Animal Physiology","Genetics","Developmental Biology"],"domains":["Expression data","Bibliography","Model organism","Disease process modeling","Mutation","Phenotype","Gene","Allele","Genome"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"484","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:43.389Z","metadata":{"doi":"10.25504/FAIRsharing.cea9zc","name":"Statistical Data and Metadata eXchange","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"secretariat@sdmx.org"}],"homepage":"https://sdmx.org/?page_id=5008","citations":[],"identifier":484,"description":"Statistical Data and Metadata eXchange (SDMX) is an initiative to foster standards for the exchange of statistical information. The SDMX initiative sets standards to facilitate the exchange of statistical data and metadata using modern information technology. Several versions of the technical specifications have been released since 2004. SDMX has also been published as an ISO International Standard (IS 17369).","abbreviation":"SDMX","support_links":[{"url":"https://sdmx.org/?page_id=2555/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2013},"legacy_ids":["bsg-000551","bsg-s000551"],"name":"FAIRsharing record for: Statistical Data and Metadata eXchange","abbreviation":"SDMX","url":"https://fairsharing.org/10.25504/FAIRsharing.cea9zc","doi":"10.25504/FAIRsharing.cea9zc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Statistical Data and Metadata eXchange (SDMX) is an initiative to foster standards for the exchange of statistical information. The SDMX initiative sets standards to facilitate the exchange of statistical data and metadata using modern information technology. Several versions of the technical specifications have been released since 2004. SDMX has also been published as an ISO International Standard (IS 17369).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Statistics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":5737,"fairsharing_record_id":484,"organisation_id":3245,"relation":"funds","created_at":"2021-09-30T09:27:37.341Z","updated_at":"2021-09-30T09:27:37.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":3245,"name":"World Bank","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5740,"fairsharing_record_id":484,"organisation_id":2638,"relation":"funds","created_at":"2021-09-30T09:27:37.417Z","updated_at":"2021-09-30T09:27:37.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":2638,"name":"Statistics Division, United Nations Department of Economic and Social Affairs (UN DESA), United Nations, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5736,"fairsharing_record_id":484,"organisation_id":2532,"relation":"maintains","created_at":"2021-09-30T09:27:37.317Z","updated_at":"2021-09-30T09:27:37.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":2532,"name":"SDMX Initiative","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5738,"fairsharing_record_id":484,"organisation_id":163,"relation":"funds","created_at":"2021-09-30T09:27:37.367Z","updated_at":"2021-09-30T09:27:37.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":163,"name":"Bank for International Settlements (BIS)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5739,"fairsharing_record_id":484,"organisation_id":1500,"relation":"funds","created_at":"2021-09-30T09:27:37.391Z","updated_at":"2021-09-30T09:27:37.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":1500,"name":"International Monetary Fund (IMF), Washington D.C., USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5741,"fairsharing_record_id":484,"organisation_id":2637,"relation":"funds","created_at":"2021-09-30T09:27:37.441Z","updated_at":"2021-09-30T09:27:37.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":2637,"name":"Statistical Office of the European Union (Eurostat)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5742,"fairsharing_record_id":484,"organisation_id":909,"relation":"funds","created_at":"2021-09-30T09:27:37.467Z","updated_at":"2021-09-30T09:27:37.467Z","grant_id":null,"is_lead":false,"saved_state":{"id":909,"name":"European Central Bank","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"501","type":"fairsharing_records","attributes":{"created_at":"2018-05-28T15:19:14.000Z","updated_at":"2021-11-24T13:18:37.175Z","metadata":{"doi":"10.25504/FAIRsharing.78Lz1O","name":"ProForma","status":"ready","contacts":[{"contact_name":"Richard LeDuc","contact_email":"richard.leduc@northwestern.edu","contact_orcid":"0000-0002-6951-2923"}],"homepage":"https://topdownproteomics.github.io/ProteoformNomenclatureStandard/","identifier":501,"description":"Developed by the Consortium for Top-Down Proteomics, ProForma is a standardized notation for writing fully characterized proteoforms. A proteoform is a specific set of amino acids arranged in a particular order, which may be further modified (cotranslationally, posttranslationally or chemically) at designated locations. This nomenclature is intended to be both machine and human readable, and to be sufficiently flexible to meet current and foreseeable needs.","abbreviation":"ProForma","support_links":[{"url":"https://github.com/topdownproteomics/ProteoformNomenclatureStandard/blob/master/Standard.md","name":"View Standard","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001213","bsg-s001213"],"name":"FAIRsharing record for: ProForma","abbreviation":"ProForma","url":"https://fairsharing.org/10.25504/FAIRsharing.78Lz1O","doi":"10.25504/FAIRsharing.78Lz1O","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Developed by the Consortium for Top-Down Proteomics, ProForma is a standardized notation for writing fully characterized proteoforms. A proteoform is a specific set of amino acids arranged in a particular order, which may be further modified (cotranslationally, posttranslationally or chemically) at designated locations. This nomenclature is intended to be both machine and human readable, and to be sufficiently flexible to meet current and foreseeable needs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Protein modification","Top-down proteomics","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","France","Switzerland","United Kingdom","United States"],"publications":[{"id":1406,"pubmed_id":29397739,"title":"ProForma: A Standard Proteoform Notation.","year":2018,"url":"http://doi.org/10.1021/acs.jproteome.7b00851","authors":"LeDuc RD,Schwammle V,Shortreed MR,Cesnik AJ,Solntsev SK,Shaw JB,Martin MJ,Vizcaino JA,Alpi E,Danis P,Kelleher NL,Smith LM,Ge Y,Agar JN,Chamot-Rooke J,Loo JA,Pasa-Tolic L,Tsybin YO","journal":"J Proteome Res","doi":"10.1021/acs.jproteome.7b00851","created_at":"2021-09-30T08:24:57.193Z","updated_at":"2021-09-30T08:24:57.193Z"}],"licence_links":[],"grants":[{"id":5758,"fairsharing_record_id":501,"organisation_id":2284,"relation":"maintains","created_at":"2021-09-30T09:27:38.032Z","updated_at":"2021-09-30T09:27:38.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2284,"name":"Pacific Northwest National Laboratory, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5760,"fairsharing_record_id":501,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:27:38.107Z","updated_at":"2021-09-30T09:27:38.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5759,"fairsharing_record_id":501,"organisation_id":3126,"relation":"maintains","created_at":"2021-09-30T09:27:38.070Z","updated_at":"2021-09-30T09:27:38.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":3126,"name":"University of Southern Denmark, Denmark","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5761,"fairsharing_record_id":501,"organisation_id":257,"relation":"maintains","created_at":"2021-09-30T09:27:38.149Z","updated_at":"2021-09-30T09:27:38.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":257,"name":"Biological Magnetic Resonance Data Bank (BMRB)","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"503","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-13T13:25:41.126Z","metadata":{"doi":"10.25504/FAIRsharing.7p0xdg","name":"Data Science Education Ontology","status":"ready","contacts":[{"contact_name":"Jose Luis Ambite","contact_email":"ambite@isi.edu"}],"homepage":"http://bigdatau.org/about_erudite","citations":[],"identifier":503,"description":"Simple SKOS Taxonomy denoting subfields of study in data science for use in educational applications.","abbreviation":"DSEO","support_links":[{"url":"gullyburns@gmail.com","name":"Gully Burns,","type":"Support email"},{"url":"lfierro@isi.edu","name":"Lily Fierro","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DSEO","name":"DSEO","portal":"BioPortal"}]},"legacy_ids":["bsg-001057","bsg-s001057"],"name":"FAIRsharing record for: Data Science Education Ontology","abbreviation":"DSEO","url":"https://fairsharing.org/10.25504/FAIRsharing.7p0xdg","doi":"10.25504/FAIRsharing.7p0xdg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Simple SKOS Taxonomy denoting subfields of study in data science for use in educational applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Education Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["data science"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"504","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:37.000Z","updated_at":"2024-03-21T13:58:59.367Z","metadata":{"doi":"10.25504/FAIRsharing.5v08f2","name":"LINCS Pilot Phase 1 Metadata Standards: Small Molecules","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":504,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Small molecules are used as perturbagens in LINCS experiments.","abbreviation":"LINCS 1: Small Molecules","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_SmallMolecule_Metadata_Released_May-04-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Antibody Reagents standard (https://biosharing.org/bsg-s000655) and as such has been superseded by this standard."},"legacy_ids":["bsg-000664","bsg-s000664"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Small Molecules","abbreviation":"LINCS 1: Small Molecules","url":"https://fairsharing.org/10.25504/FAIRsharing.5v08f2","doi":"10.25504/FAIRsharing.5v08f2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Small molecules are used as perturbagens in LINCS experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11893}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5763,"fairsharing_record_id":504,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.231Z","updated_at":"2021-09-30T09:27:38.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11565,"fairsharing_record_id":504,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:59.197Z","updated_at":"2024-03-21T13:58:59.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"505","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:33.000Z","updated_at":"2024-03-21T13:58:59.680Z","metadata":{"doi":"10.25504/FAIRsharing.c2c96p","name":"LINCS Pilot Phase 1 Metadata Standards: Cell Lines","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":505,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","abbreviation":"LINCS 1: Cell Lines","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_CellLine_Metadata_Release_Apr-11-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Cell line standard (https://biosharing.org/bsg-s000651) and as such has been superseded by this standard."},"legacy_ids":["bsg-000662","bsg-s000662"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Cell Lines","abbreviation":"LINCS 1: Cell Lines","url":"https://fairsharing.org/10.25504/FAIRsharing.c2c96p","doi":"10.25504/FAIRsharing.c2c96p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11904}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5765,"fairsharing_record_id":505,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.306Z","updated_at":"2021-09-30T09:27:38.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11566,"fairsharing_record_id":505,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:59.550Z","updated_at":"2024-03-21T13:58:59.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"506","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T08:43:25.000Z","updated_at":"2024-03-21T13:58:12.226Z","metadata":{"doi":"10.25504/FAIRsharing.300fqe","name":"LINCS Extended Metadata Standard: Embryonic Stem Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Embryonic_Stem_Cell_Metadata_2017.pdf","citations":[],"identifier":506,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Metadata for this standard includes organism name, genetic modifications and precursor cell name.","abbreviation":"LINCS 2: Embryonic Stem Cells","support_links":[{"url":"https://lincsproject.org/LINCS/files/Embryonic_Stem_Cell_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000660","bsg-s000660"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Embryonic Stem Cells","abbreviation":"LINCS 2: Embryonic Stem Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.300fqe","doi":"10.25504/FAIRsharing.300fqe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Metadata for this standard includes organism name, genetic modifications and precursor cell name.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11902}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Cell line","Human embryonic stem cell line cell","Stem cell","Cellular assay","Cellular component"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5767,"fairsharing_record_id":506,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:38.391Z","updated_at":"2021-09-30T09:27:38.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11541,"fairsharing_record_id":506,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:11.767Z","updated_at":"2024-03-21T13:58:11.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"486","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:35.000Z","updated_at":"2024-03-21T13:58:11.548Z","metadata":{"doi":"10.25504/FAIRsharing.265acy","name":"LINCS Pilot Phase 1 Metadata Standards: Primary Cells","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":486,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","abbreviation":"LINCS 1: Primary Cells","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_PrimaryCell_Metadata_Release_Apr-11-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Primary Cells standard (https://biosharing.org/bsg-s000652) and as such has been superseded by this standard."},"legacy_ids":["bsg-000663","bsg-s000663"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Primary Cells","abbreviation":"LINCS 1: Primary Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.265acy","doi":"10.25504/FAIRsharing.265acy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11901}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5744,"fairsharing_record_id":486,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:37.517Z","updated_at":"2021-09-30T09:27:37.517Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11540,"fairsharing_record_id":486,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:11.325Z","updated_at":"2024-03-21T13:58:11.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"488","type":"fairsharing_records","attributes":{"created_at":"2016-05-26T14:17:50.000Z","updated_at":"2023-05-05T07:50:49.760Z","metadata":{"doi":"10.25504/FAIRsharing.fkrc9","name":"XDF - A Language for the Definition and Exchange of Biological Data Sets","status":"deprecated","contacts":[],"homepage":"https://github.com/tdwg/prior-standards/tree/master/xdf","citations":[],"identifier":488,"description":"XDF is a high-level language for describing biological data, with its own syntax and command vocabulary, analogous to the high-level programming languages used to describe software algorithms. Provision is made within XDF for predefined standard definitions of the common core elements of biological data sets such as the taxonomic hierarchy, biological nomenclature, descriptive material and bibliography.","abbreviation":"XDF","year_creation":1991,"deprecation_date":"2016-05-26","deprecation_reason":"This standard is listed as 'prior' on the TDWG website (http://www.tdwg.org/standards/)"},"legacy_ids":["bsg-000669","bsg-s000669"],"name":"FAIRsharing record for: XDF - A Language for the Definition and Exchange of Biological Data Sets","abbreviation":"XDF","url":"https://fairsharing.org/10.25504/FAIRsharing.fkrc9","doi":"10.25504/FAIRsharing.fkrc9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XDF is a high-level language for describing biological data, with its own syntax and command vocabulary, analogous to the high-level programming languages used to describe software algorithms. Provision is made within XDF for predefined standard definitions of the common core elements of biological data sets such as the taxonomic hierarchy, biological nomenclature, descriptive material and bibliography.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12281}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity"],"domains":["Taxonomic classification"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1179,"pubmed_id":null,"title":"Language for the definition and exchange of biological data sets","year":1992,"url":"https://doi.org/10.1016/0895-7177(92)90163-F","authors":"R.J. White, R. Allkin","journal":"Mathematical and Computer Modelling","doi":null,"created_at":"2021-09-30T08:24:31.076Z","updated_at":"2021-09-30T11:28:31.935Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"489","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-12-23T08:34:05.543Z","metadata":{"doi":"10.25504/FAIRsharing.4ded1f","name":"Time Event Ontology","status":"ready","contacts":[{"contact_name":"Cui Tao","contact_email":"tao.cui@mayo.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/TEO","citations":[],"identifier":489,"description":"The Time Event Ontology (TEO) is an ontology for representing events, time, and their relationships.","abbreviation":"TEO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TEO","name":"TEO","portal":"BioPortal"}]},"legacy_ids":["bsg-000728","bsg-s000728"],"name":"FAIRsharing record for: Time Event Ontology","abbreviation":"TEO","url":"https://fairsharing.org/10.25504/FAIRsharing.4ded1f","doi":"10.25504/FAIRsharing.4ded1f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Time Event Ontology (TEO) is an ontology for representing events, time, and their relationships.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Physics"],"domains":["Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":["Events"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"490","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T14:49:31.813Z","metadata":{"doi":"10.25504/FAIRsharing.tej5wx","name":"New Hampshire eXtended Format","status":"ready","contacts":[{"contact_name":"Christian M. Zmasek","contact_email":"czmasek@burnham.org"}],"homepage":"http://www.phylosoft.org/NHX/nhx.pdf","citations":[],"identifier":490,"description":"NHX is based on the New Hampshire (NH) standard (also called \"Newick tree format\").","abbreviation":null,"support_links":[{"url":"https://sites.google.com/site/cmzmasek/christian-zmasek?authuser=0","name":"Christian Zmasek webpage","type":"Other"},{"url":"https://en.wikipedia.org/wiki/Newick_format#New_Hampshire_X_format","name":"Wikipedia","type":"Help documentation"}],"year_creation":1999},"legacy_ids":["bsg-000252","bsg-s000252"],"name":"FAIRsharing record for: New Hampshire eXtended Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tej5wx","doi":"10.25504/FAIRsharing.tej5wx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NHX is based on the New Hampshire (NH) standard (also called \"Newick tree format\").","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12431}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Comparative Genomics"],"domains":["Deoxyribonucleic acid","Dendrogram","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":10459,"fairsharing_record_id":490,"organisation_id":1597,"relation":"undefined","created_at":"2023-03-24T14:49:05.000Z","updated_at":"2023-03-24T14:49:05.000Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"491","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T12:29:37.000Z","updated_at":"2021-11-24T13:17:19.726Z","metadata":{"doi":"10.25504/FAIRsharing.q0hgq","name":"Monument Inventory DAta Standard Heritage","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"customers@HistoricEngland.org.uk"}],"homepage":"https://historicengland.org.uk/images-books/publications/midas-heritage/","identifier":491,"description":"The UK Historic Environment Data Standard is a British cultural heritage standard for recording information on buildings, archaeological sites, shipwrecks, parks and gardens, battlefields, areas of interest and artefacts. This data standard suggests the minimum level of information needed for recording heritage assets and covers the procedures involved in understanding, protecting and managing these assets. It also provides guidelines on how to support effective sharing of knowledge, data retrieval and long-term preservation of data.","abbreviation":"MIDAS Heritage","year_creation":2012},"legacy_ids":["bsg-000702","bsg-s000702"],"name":"FAIRsharing record for: Monument Inventory DAta Standard Heritage","abbreviation":"MIDAS Heritage","url":"https://fairsharing.org/10.25504/FAIRsharing.q0hgq","doi":"10.25504/FAIRsharing.q0hgq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Historic Environment Data Standard is a British cultural heritage standard for recording information on buildings, archaeological sites, shipwrecks, parks and gardens, battlefields, areas of interest and artefacts. This data standard suggests the minimum level of information needed for recording heritage assets and covers the procedures involved in understanding, protecting and managing these assets. It also provides guidelines on how to support effective sharing of knowledge, data retrieval and long-term preservation of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Humanities","Ancient Cultures","History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5745,"fairsharing_record_id":491,"organisation_id":1251,"relation":"maintains","created_at":"2021-09-30T09:27:37.541Z","updated_at":"2021-09-30T09:27:37.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":1251,"name":"Historic England, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"492","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2023-03-24T15:38:55.447Z","metadata":{"doi":"10.25504/FAIRsharing.4ga4vc","name":"Molgula occulta Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself.communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":492,"description":"The first ontology describing the anatomy and the development of Molgula occulta.","abbreviation":"MOOCCUADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MOOCCUADO","name":"MOOCCUADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000731","bsg-s000731"],"name":"FAIRsharing record for: Molgula occulta Anatomy and Development Ontology","abbreviation":"MOOCCUADO","url":"https://fairsharing.org/10.25504/FAIRsharing.4ga4vc","doi":"10.25504/FAIRsharing.4ga4vc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Molgula occulta.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Molgula occulta"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10460,"fairsharing_record_id":492,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T15:38:25.083Z","updated_at":"2023-03-24T15:38:25.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"498","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:14:57.000Z","updated_at":"2024-03-21T13:58:58.288Z","metadata":{"doi":"10.25504/FAIRsharing.t4nd3r","name":"LINCS Extended Metadata Standard: Cell lines","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Cell_Line_Metadata_2017.pdf","citations":[],"identifier":498,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe cell lines, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases (especially with cell lines), the cells are also associated with a disease.","abbreviation":"LINCS 2: Cell lines","support_links":[{"url":"https://lincsproject.org/LINCS/files/Cell_Line_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000651","bsg-s000651"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Cell lines","abbreviation":"LINCS 2: Cell lines","url":"https://fairsharing.org/10.25504/FAIRsharing.t4nd3r","doi":"10.25504/FAIRsharing.t4nd3r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe cell lines, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases (especially with cell lines), the cells are also associated with a disease.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11908},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12499}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Functional Genomics","Life Science"],"domains":["Expression data","Reaction data","Cell line","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5754,"fairsharing_record_id":498,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:37.839Z","updated_at":"2021-09-30T09:27:37.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11563,"fairsharing_record_id":498,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:57.843Z","updated_at":"2024-03-21T13:58:57.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"499","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:12.000Z","updated_at":"2024-03-21T13:58:58.940Z","metadata":{"doi":"10.25504/FAIRsharing.rh0c0t","name":"LINCS Extended Metadata Standard: Differentiated Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Differentiated_Cell_Metadata_2017.pdf","citations":[],"identifier":499,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","abbreviation":"LINCS 2: Differentiated Cells","support_links":[{"url":"https://lincsproject.org/LINCS/files/Differentiated_Cell_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000654","bsg-s000654"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Differentiated Cells","abbreviation":"LINCS 2: Differentiated Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.rh0c0t","doi":"10.25504/FAIRsharing.rh0c0t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11897},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12491}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Reaction data","Stem cell","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5756,"fairsharing_record_id":499,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:37.948Z","updated_at":"2021-09-30T09:27:37.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11564,"fairsharing_record_id":499,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:58.594Z","updated_at":"2024-03-21T13:58:58.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"500","type":"fairsharing_records","attributes":{"created_at":"2016-05-03T22:31:06.000Z","updated_at":"2023-05-05T07:46:04.584Z","metadata":{"doi":"10.25504/FAIRsharing.bbb81t","name":"Minimum Information about a Stem Cell Experiment","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"RScheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"https://github.com/MISCE","citations":[],"identifier":500,"description":"MISCE recommends the standard information required to report a stem cell experiment, covering: study and experiment design, organism characterization, specimen isolation, cell isolation, cellular reprogramming, gene editing, cellular differentiation, genomic and pluripotency stability assays, and data analysis methods, if applicable.","abbreviation":"MISCE","year_creation":2016,"deprecation_date":"2023-05-03","deprecation_reason":"The MISCE homepage is no longer accessible, as there are no public repositories on https://github.com/MISCE. As we cannot find an alternative homepage, this resource has been marked as deprecated. Please get in touch if you have any information."},"legacy_ids":["bsg-000659","bsg-s000659"],"name":"FAIRsharing record for: Minimum Information about a Stem Cell Experiment","abbreviation":"MISCE","url":"https://fairsharing.org/10.25504/FAIRsharing.bbb81t","doi":"10.25504/FAIRsharing.bbb81t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MISCE recommends the standard information required to report a stem cell experiment, covering: study and experiment design, organism characterization, specimen isolation, cell isolation, cellular reprogramming, gene editing, cellular differentiation, genomic and pluripotency stability assays, and data analysis methods, if applicable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Bioinformatics"],"domains":["Data retrieval","Stem cell","Genome"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5757,"fairsharing_record_id":500,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:27:37.989Z","updated_at":"2021-09-30T09:27:37.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"475","type":"fairsharing_records","attributes":{"created_at":"2018-05-24T11:48:18.000Z","updated_at":"2024-05-02T14:36:40.916Z","metadata":{"doi":"10.25504/FAIRsharing.5bbab9","name":"JavaScript Object Notation","status":"ready","contacts":[{"contact_email":"json@ietf.org"}],"homepage":"http://dx.doi.org/10.17487/RFC8259","citations":[],"identifier":475,"description":"JavaScript Object Notation (JSON) is a lightweight, text-based, language-independent data interchange format. It was derived from the ECMAScript Programming Language Standard. JSON defines a small set of formatting rules for the portable representation of structured data. This RFC specification aims to remove inconsistencies with other specifications of JSON, repair specification errors, and offer experience-based interoperability guidance.","abbreviation":"JSON","support_links":[{"url":"helpdesk@ecma-international.org","name":"ECMA Specification Helpdesk","type":"Support email"},{"url":"https://www.json.org/json-en.html","name":"ECMA Specification Documentation","type":"Help documentation"},{"url":"https://www.rfc-editor.org/errata/rfc8259","name":"View RFC Errata","type":"Help documentation"},{"url":"https://fr.wikipedia.org/wiki/JavaScript_Object_Notation","name":"Wikipedia","type":"Wikipedia"}],"year_creation":2001,"cross_references":[{"url":"http://edamontology.org/format_3464","name":"EDAM","portal":"BioPortal"}]},"legacy_ids":["bsg-001212","bsg-s001212"],"name":"FAIRsharing record for: JavaScript Object Notation","abbreviation":"JSON","url":"https://fairsharing.org/10.25504/FAIRsharing.5bbab9","doi":"10.25504/FAIRsharing.5bbab9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JavaScript Object Notation (JSON) is a lightweight, text-based, language-independent data interchange format. It was derived from the ECMAScript Programming Language Standard. JSON defines a small set of formatting rules for the portable representation of structured data. This RFC specification aims to remove inconsistencies with other specifications of JSON, repair specification errors, and offer experience-based interoperability guidance.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18235},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13246},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14568},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14726}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":9451,"fairsharing_record_id":475,"organisation_id":3483,"relation":"associated_with","created_at":"2022-04-19T15:07:59.653Z","updated_at":"2022-04-19T15:07:59.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":3483,"name":"Netherlands X-Omics Initiative (partially funded by NWO, project no. 184.034.019)","types":["Research institute"],"is_lead":false,"relation":"associated_with"}},{"id":9450,"fairsharing_record_id":475,"organisation_id":2812,"relation":"funds","created_at":"2022-04-19T15:07:59.394Z","updated_at":"2022-04-19T15:07:59.394Z","grant_id":1858,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","grant":"846003201","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"476","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-17T08:33:11.594Z","metadata":{"doi":"10.25504/FAIRsharing.s63y3p","name":"SMART Protocols","status":"ready","contacts":[{"contact_name":"Olga Giraldo","contact_email":"oxgiraldo@gmail.com"}],"homepage":"https://smartprotocols.github.io/","citations":[],"identifier":476,"description":"The SeMAntic RepresenTation for Protocols, SMART Protocols, provides a structured OWL vocabulary of experimental protocols. SMART Protocols ontology includes two modules, SP-document and SP-workflow. SP-document, aims to provide a structured vocabulary of concepts to represent information necessary and sufficient for reporting an experimental protocol. SP-Workflow represents: i) the executable elements of a protocol, protocol instructions; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions.","abbreviation":"SP","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SP","name":"SP","portal":"BioPortal"}]},"legacy_ids":["bsg-001050","bsg-s001050"],"name":"FAIRsharing record for: SMART Protocols","abbreviation":"SP","url":"https://fairsharing.org/10.25504/FAIRsharing.s63y3p","doi":"10.25504/FAIRsharing.s63y3p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SeMAntic RepresenTation for Protocols, SMART Protocols, provides a structured OWL vocabulary of experimental protocols. SMART Protocols ontology includes two modules, SP-document and SP-workflow. SP-document, aims to provide a structured vocabulary of concepts to represent information necessary and sufficient for reporting an experimental protocol. SP-Workflow represents: i) the executable elements of a protocol, protocol instructions; ii) the experimental actions and material entities that participates in instructions (sample/specimen, organisms, reagents, instruments); and iii) the order of execution of the instructions.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12121}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Biology"],"domains":["Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3801,"pubmed_id":null,"title":"Using semantics for representing experimental protocols","year":2017,"url":"http://dx.doi.org/10.1186/s13326-017-0160-y","authors":"Giraldo, Olga; García, Alexander; López, Federico; Corcho, Oscar; ","journal":"J Biomed Semant","doi":"10.1186/s13326-017-0160-y","created_at":"2023-03-17T08:30:21.319Z","updated_at":"2023-03-17T08:30:21.319Z"}],"licence_links":[],"grants":[{"id":10423,"fairsharing_record_id":476,"organisation_id":2968,"relation":"undefined","created_at":"2023-03-17T08:32:36.457Z","updated_at":"2023-03-17T08:32:36.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":2968,"name":"Universidad Politecnica de Madrid","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"477","type":"fairsharing_records","attributes":{"created_at":"2016-02-09T03:11:12.000Z","updated_at":"2023-09-09T07:48:42.101Z","metadata":{"doi":"10.25504/FAIRsharing.30vmv9","name":"BioSignalML Ontology","status":"ready","contacts":[{"contact_name":"David Brooks","contact_email":"d.brooks@auckland.ac.nz","contact_orcid":"0000-0002-6758-2186"}],"homepage":"https://www.biosignalml.org/ontologies/2011/04/biosignalml.html","citations":[],"identifier":477,"description":"An ontology for working with biosignals. This ontology defines concepts to describe the storage and exchange of biosignals, regardless of their underlying data format, and provides terms for common biosignal metadata.","abbreviation":null,"year_creation":2011,"associated_tools":[{"url":"https://github.com/BioSignalML/biosignalml-python","name":"Python library"},{"url":"https://github.com/BioSignalML/libbiosignalml","name":"C++ library"},{"url":"https://github.com/BioSignalML/biosignalml-browser","name":"PyQt based browser"}]},"legacy_ids":["bsg-000640","bsg-s000640"],"name":"FAIRsharing record for: BioSignalML Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.30vmv9","doi":"10.25504/FAIRsharing.30vmv9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for working with biosignals. This ontology defines concepts to describe the storage and exchange of biosignals, regardless of their underlying data format, and provides terms for common biosignal metadata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Electrophysiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["New Zealand"],"publications":[{"id":927,"pubmed_id":22255626,"title":"BioSignalML--a meta-model for biosignals.","year":2012,"url":"http://doi.org/10.1109/IEMBS.2011.6091372","authors":"Brooks DJ,Hunter PJ,Smaill BH,Titchener MR","journal":"Conf Proc IEEE Eng Med Biol Soc","doi":"10.1109/IEMBS.2011.6091372","created_at":"2021-09-30T08:24:02.555Z","updated_at":"2021-09-30T08:24:02.555Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1187,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":103,"relation":"undefined"}],"grants":[{"id":5731,"fairsharing_record_id":477,"organisation_id":134,"relation":"maintains","created_at":"2021-09-30T09:27:37.191Z","updated_at":"2021-09-30T09:27:37.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":134,"name":"Auckland Bioengineering Institute, New Zealand","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdDRDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--32639c60324da5b96c71282e1dd4d9d86eb932a5/BSMLLogo3.png?disposition=inline","exhaustive_licences":false}},{"id":"478","type":"fairsharing_records","attributes":{"created_at":"2017-01-16T14:40:51.000Z","updated_at":"2022-07-20T12:48:42.768Z","metadata":{"doi":"10.25504/FAIRsharing.haxp7g","name":"Feature Annotation Location Description Ontology","status":"ready","contacts":[{"contact_name":"Jerven Bolleman","contact_email":"jerven.bolleman@sib.swiss"}],"homepage":"http://biohackathon.org/resource/faldo","citations":[{"doi":"10.1186/s13326-016-0067-z","pubmed_id":27296299,"publication_id":1998}],"identifier":478,"description":"The Feature Annotation Location Description Ontology (FALDO), to describe the positions of annotated features on linear and circular sequences for data resources represented in RDF and/or OWL. FALDO can be used to describe nucleotide features in sequence records, protein annotations, and glycan binding sites, among other features in coordinate systems of the aforementioned “omics” areas. Using the same data format to represent sequence positions that are independent of file formats allows us to integrate sequence data from multiple sources and data types.","abbreviation":"FALDO","support_links":[{"url":"https://groups.google.com/forum/#!forum/faldo","name":"FALDO Google Group","type":"Forum"},{"url":"https://github.com/OBF/FALDO","name":"GitHub Issues at OBF Faldo","type":"Github"},{"url":"https://github.com/OBF/FALDO","name":"GitHub Project","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FALDO","name":"FALDO","portal":"BioPortal"}]},"legacy_ids":["bsg-000692","bsg-s000692"],"name":"FAIRsharing record for: Feature Annotation Location Description Ontology","abbreviation":"FALDO","url":"https://fairsharing.org/10.25504/FAIRsharing.haxp7g","doi":"10.25504/FAIRsharing.haxp7g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Feature Annotation Location Description Ontology (FALDO), to describe the positions of annotated features on linear and circular sequences for data resources represented in RDF and/or OWL. FALDO can be used to describe nucleotide features in sequence records, protein annotations, and glycan binding sites, among other features in coordinate systems of the aforementioned “omics” areas. Using the same data format to represent sequence positions that are independent of file formats allows us to integrate sequence data from multiple sources and data types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics"],"domains":["Nucleic acid sequence","Sequence annotation","Gene feature","Sequence feature","Binding site"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy","Japan","Netherlands","Switzerland","United Kingdom","United States"],"publications":[{"id":1998,"pubmed_id":27296299,"title":"FALDO: a semantic standard for describing the location of nucleotide and protein feature annotation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0067-z","authors":"Bolleman JT,Mungall CJ,Strozzi F,Baran J,Dumontier M,Bonnal RJ,Buels R,Hoehndorf R,Fujisawa T,Katayama T,Cock PJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0067-z","created_at":"2021-09-30T08:26:04.914Z","updated_at":"2021-09-30T08:26:04.914Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1,"relation":"undefined"}],"grants":[{"id":5732,"fairsharing_record_id":478,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:27:37.217Z","updated_at":"2021-09-30T09:27:37.217Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"493","type":"fairsharing_records","attributes":{"created_at":"2016-04-15T18:28:01.000Z","updated_at":"2022-07-20T09:04:35.617Z","metadata":{"doi":"10.25504/FAIRsharing.2gpf81","name":"eNanoMapper Ontology","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@maastrichtuniversity.nl","contact_orcid":"0000-0001-7542-0286"}],"homepage":"https://github.com/enanomapper/ontologies","citations":[],"identifier":493,"description":"The eNanoMapper ontology covers the full scope of terminology needed to support research into nanomaterial safety. It builds on multiple pre-existing external ontologies such as the NanoParticle Ontology.","abbreviation":"ENM","support_links":[{"url":"https://www.ebi.ac.uk/ols/beta/ontologies/enm","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/adding-ontology-terms","name":"Adding ontology terms","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/browsing-the-enanomapper-ontology-with-bioportal-aberowl-and-protege","name":"Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protg","type":"TeSS links to training materials"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ENM","name":"ENM","portal":"BioPortal"}]},"legacy_ids":["bsg-000647","bsg-s000647"],"name":"FAIRsharing record for: eNanoMapper Ontology","abbreviation":"ENM","url":"https://fairsharing.org/10.25504/FAIRsharing.2gpf81","doi":"10.25504/FAIRsharing.2gpf81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eNanoMapper ontology covers the full scope of terminology needed to support research into nanomaterial safety. It builds on multiple pre-existing external ontologies such as the NanoParticle Ontology.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10856},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11732}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Chemical entity","Nanoparticle"],"taxonomies":["Not applicable"],"user_defined_tags":["Nanosafety"],"countries":["European Union"],"publications":[{"id":1088,"pubmed_id":25815161,"title":"eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment.","year":2015,"url":"http://doi.org/10.1186/s13326-015-0005-5","authors":"Hastings J,Jeliazkova N,Owen G,Tsiliki G,Munteanu CR,Steinbeck C,Willighagen E","journal":"J Biomed Semantics","doi":"10.1186/s13326-015-0005-5","created_at":"2021-09-30T08:24:20.515Z","updated_at":"2021-09-30T08:24:20.515Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":822,"relation":"undefined"}],"grants":[{"id":5746,"fairsharing_record_id":493,"organisation_id":858,"relation":"maintains","created_at":"2021-09-30T09:27:37.567Z","updated_at":"2021-09-30T09:27:37.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":858,"name":"eNanoMapper","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9568,"fairsharing_record_id":493,"organisation_id":1929,"relation":"maintains","created_at":"2022-06-07T09:05:32.205Z","updated_at":"2022-06-07T09:05:32.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":1929,"name":"Nanocommons","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9570,"fairsharing_record_id":493,"organisation_id":920,"relation":"funds","created_at":"2022-06-07T09:16:11.967Z","updated_at":"2022-06-07T09:16:11.967Z","grant_id":85,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"604134","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9569,"fairsharing_record_id":493,"organisation_id":3546,"relation":"maintains","created_at":"2022-06-07T09:05:32.205Z","updated_at":"2022-06-07T09:05:32.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":3546,"name":"NanoSolveIT","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9571,"fairsharing_record_id":493,"organisation_id":912,"relation":"funds","created_at":"2022-06-07T09:16:12.003Z","updated_at":"2022-06-07T09:16:12.003Z","grant_id":197,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"731032","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9572,"fairsharing_record_id":493,"organisation_id":912,"relation":"funds","created_at":"2022-06-07T09:16:35.006Z","updated_at":"2022-06-07T09:16:35.006Z","grant_id":1873,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"731075","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9573,"fairsharing_record_id":493,"organisation_id":912,"relation":"funds","created_at":"2022-06-07T09:17:34.420Z","updated_at":"2022-06-07T09:17:34.420Z","grant_id":1874,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"814572","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"494","type":"fairsharing_records","attributes":{"created_at":"2018-03-13T19:37:11.000Z","updated_at":"2022-07-20T10:20:22.313Z","metadata":{"doi":"10.25504/FAIRsharing.9e9683","name":"Brachiaria Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_345:ROOT","citations":[],"identifier":494,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brachiaria Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_345","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help Page","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001140","bsg-s001140"],"name":"FAIRsharing record for: Brachiaria Ontology","abbreviation":"CO_345","url":"https://fairsharing.org/10.25504/FAIRsharing.9e9683","doi":"10.25504/FAIRsharing.9e9683","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brachiaria Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Brachiaria"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1119,"relation":"undefined"}],"grants":[{"id":5747,"fairsharing_record_id":494,"organisation_id":1476,"relation":"maintains","created_at":"2021-09-30T09:27:37.597Z","updated_at":"2021-09-30T09:27:37.597Z","grant_id":null,"is_lead":false,"saved_state":{"id":1476,"name":"International Center for Tropical Agriculture (CIAT), Colombia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"495","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:48:14.704Z","metadata":{"doi":"10.25504/FAIRsharing.4e3qh9","name":"Pearl Millet Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_327:ROOT","citations":[],"identifier":495,"description":"The goal of the CGIAR Pearl Millet Ontology is to help improve food security for subsistence smallholder farmers in East and West Africa with productive and nutritious pearl millet food and fodder production technologies.","abbreviation":"CO_327","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2017},"legacy_ids":["bsg-001105","bsg-s001105"],"name":"FAIRsharing record for: Pearl Millet Ontology","abbreviation":"CO_327","url":"https://fairsharing.org/10.25504/FAIRsharing.4e3qh9","doi":"10.25504/FAIRsharing.4e3qh9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the CGIAR Pearl Millet Ontology is to help improve food security for subsistence smallholder farmers in East and West Africa with productive and nutritious pearl millet food and fodder production technologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Phenotype"],"taxonomies":["Pennisetum glaucum"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1811,"relation":"undefined"}],"grants":[{"id":5749,"fairsharing_record_id":495,"organisation_id":1337,"relation":"maintains","created_at":"2021-09-30T09:27:37.678Z","updated_at":"2021-09-30T09:27:37.678Z","grant_id":null,"is_lead":false,"saved_state":{"id":1337,"name":"INERA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5750,"fairsharing_record_id":495,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:27:37.714Z","updated_at":"2021-09-30T09:27:37.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9301,"fairsharing_record_id":495,"organisation_id":485,"relation":"maintains","created_at":"2022-04-11T12:07:28.892Z","updated_at":"2022-04-11T12:07:28.892Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"496","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:20.000Z","updated_at":"2022-07-20T11:37:52.840Z","metadata":{"doi":"10.25504/FAIRsharing.4g5qcw","name":"Sweet Potato Ontology","status":"ready","contacts":[{"contact_name":"Vilma Hualla Mamani","contact_email":"V.Hualla@cgiar.org","contact_orcid":"0000-0003-0595-5271"}],"homepage":"https://cropontology.org/term/CO_331:ROOT","citations":[],"identifier":496,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sweet Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_331","support_links":[{"url":"r.simon@cgiar.org","name":"Reinhard Simon","type":"Support email"},{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000727","bsg-s000727"],"name":"FAIRsharing record for: Sweet Potato Ontology","abbreviation":"CO_331","url":"https://fairsharing.org/10.25504/FAIRsharing.4g5qcw","doi":"10.25504/FAIRsharing.4g5qcw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sweet Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food"],"taxonomies":["Ipomoea batatas"],"user_defined_tags":[],"countries":["Peru"],"publications":[{"id":2431,"pubmed_id":null,"title":"The Sweetpotato Ontology","year":2015,"url":"http://dcpapers.dublincore.org/pubs/article/viewFile/3782/1972","authors":"Vilma Rocio Hualla, Reinhard Simon, Robert Mwanga, Henry Saul Juarez Soto, Genoveva Rossel Montesinos","journal":"Proc. Int’l Conf. on Dublin Core and Metadata Applications 2015","doi":null,"created_at":"2021-09-30T08:26:58.269Z","updated_at":"2021-09-30T08:26:58.269Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1350,"relation":"undefined"}],"grants":[{"id":5751,"fairsharing_record_id":496,"organisation_id":1510,"relation":"maintains","created_at":"2021-09-30T09:27:37.743Z","updated_at":"2021-09-30T09:27:37.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":1510,"name":"International Potato Center (CIP), Peru","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"497","type":"fairsharing_records","attributes":{"created_at":"2020-12-16T11:20:42.000Z","updated_at":"2023-01-17T13:33:27.269Z","metadata":{"doi":"10.25504/FAIRsharing.3a96ae","name":"Chinese Agricultural Thesaurus","status":"deprecated","contacts":[{"contact_name":"Chinese Academy of Agricultural Sciences (CAAS)","contact_email":"diccaas@caas.net.cn"}],"homepage":"http://cat.aii.caas.cn/","citations":[],"identifier":497,"description":"The Chinese Agricultural Thesaurus (CAT) is an agricultural domain thesaurus. A number of international and national standards were adopted during its design and construction. CAT covers areas including agriculture, forestry, and biology. It is organized in 40 main categories, with most of the concepts having an English translation. The website is now longer resolving, and we cannot find a new homepage. Please get in touch with us if you have any information. ","abbreviation":"CAT","deprecation_date":"2023-01-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-001567","bsg-s001567"],"name":"FAIRsharing record for: Chinese Agricultural Thesaurus","abbreviation":"CAT","url":"https://fairsharing.org/10.25504/FAIRsharing.3a96ae","doi":"10.25504/FAIRsharing.3a96ae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chinese Agricultural Thesaurus (CAT) is an agricultural domain thesaurus. A number of international and national standards were adopted during its design and construction. CAT covers areas including agriculture, forestry, and biology. It is organized in 40 main categories, with most of the concepts having an English translation. The website is now longer resolving, and we cannot find a new homepage. Please get in touch with us if you have any information. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Forest Management","Agriculture","Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":5752,"fairsharing_record_id":497,"organisation_id":41,"relation":"maintains","created_at":"2021-09-30T09:27:37.767Z","updated_at":"2021-09-30T09:27:37.767Z","grant_id":null,"is_lead":true,"saved_state":{"id":41,"name":"Agricultural Information Institute of CAAS, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"474","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:20.018Z","metadata":{"doi":"10.25504/FAIRsharing.1h49c6","name":"Sleep Domain Units Ontology","status":"ready","contacts":[{"contact_name":"Sivaram Arabandi","contact_email":"sivaram.arabandi@gmail.com","contact_orcid":"0000-0002-2973-6228"}],"homepage":"http://bioportal.bioontology.org/ontologies/UNITSONT","identifier":474,"description":"An ontology for the units of measurement developed during the development of the Sleep Domain Ontology (SDO). It supports the use of SDO within the PhysioMIMI application. No official homepage for this resource can be found.","abbreviation":"UNITSONT","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UNITSONT","name":"UNITSONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002740","bsg-s002740"],"name":"FAIRsharing record for: Sleep Domain Units Ontology","abbreviation":"UNITSONT","url":"https://fairsharing.org/10.25504/FAIRsharing.1h49c6","doi":"10.25504/FAIRsharing.1h49c6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for the units of measurement developed during the development of the Sleep Domain Ontology (SDO). It supports the use of SDO within the PhysioMIMI application. No official homepage for this resource can be found.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Sleep","Unit","Measurement"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"621","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-05-20T06:45:39.700Z","metadata":{"doi":"10.25504/FAIRsharing.wjqnt4","name":"Multi-Omics Metadata Checklist","status":"deprecated","contacts":[{"contact_name":"Eugene Kolker","contact_email":"eugene.kolker@seattlechildrens.org"}],"homepage":"http://kolkerlab.org/publications/multi-omics-metadata-checklist","citations":[],"identifier":621,"description":"We have created a Multi-Omics Metadata checklist to ensure consistent data quality and comprehensive meta-data. We used previously developed data submission policies for PRIDE and GEO as starting points for gathering information on the experimental design, experimental protocols, instrumentation, data processing and analysis methods. Through DELSA community outreach and the Advisory Committee, we will continue to refine and finalize the Multi-Omics Metadata checklist using a combination of reputable ontologies available through Open Biological and Biomedical Ontologies, best community practices, and developments from the NSF-funded Research Data Alliance and GSC.","abbreviation":"MOMDC","support_links":[{"url":"kolker.lab@seattlechildrens.org","type":"Support email"}],"deprecation_date":"2022-05-18","deprecation_reason":"Although the publication describing the checklist is available, the homepage for the resource no longer exists, and the maintainer of the resource has not provided an alternative. If you have information regarding this resource, please get in touch."},"legacy_ids":["bsg-000533","bsg-s000533"],"name":"FAIRsharing record for: Multi-Omics Metadata Checklist","abbreviation":"MOMDC","url":"https://fairsharing.org/10.25504/FAIRsharing.wjqnt4","doi":"10.25504/FAIRsharing.wjqnt4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: We have created a Multi-Omics Metadata checklist to ensure consistent data quality and comprehensive meta-data. We used previously developed data submission policies for PRIDE and GEO as starting points for gathering information on the experimental design, experimental protocols, instrumentation, data processing and analysis methods. Through DELSA community outreach and the Advisory Committee, we will continue to refine and finalize the Multi-Omics Metadata checklist using a combination of reputable ontologies available through Open Biological and Biomedical Ontologies, best community practices, and developments from the NSF-funded Research Data Alliance and GSC.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12110}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":1838,"pubmed_id":24494788,"title":"OMICS studies: How about metadata checklist and data publications?","year":2014,"url":"http://doi.org/10.1021/pr4011662","authors":"Kolker E,Stewart E","journal":"J Proteome Res","doi":"10.1021/pr4011662","created_at":"2021-09-30T08:25:46.439Z","updated_at":"2021-09-30T08:25:46.439Z"},{"id":1861,"pubmed_id":27447252,"title":"Metadata Checklist for the Integrated Personal Omics Study: Proteomics and Metabolomics Experiments.","year":2013,"url":"http://doi.org/10.1089/big.2013.0040","authors":"Snyder M,Mias G,Stanberry L,Kolker E","journal":"Big Data","doi":"10.1089/big.2013.0040","created_at":"2021-09-30T08:25:49.073Z","updated_at":"2021-09-30T08:25:49.073Z"},{"id":1862,"pubmed_id":24910945,"title":"MOPED 2.5--an integrated multi-omics resource: multi-omics profiling expression database now includes transcriptomics data.","year":2014,"url":"http://doi.org/10.1089/omi.2014.0061","authors":"Montague E,Stanberry L,Higdon R,Janko I,Lee E,Anderson N,Choiniere J,Stewart E,Yandl G,Broomall W,Kolker N,Kolker E","journal":"OMICS","doi":"10.1089/omi.2014.0061","created_at":"2021-09-30T08:25:49.189Z","updated_at":"2021-09-30T08:25:49.189Z"},{"id":3367,"pubmed_id":null,"title":"Toward More Transparent and Reproducible Omics Studies Through a Common Metadata Checklist and Data Publications","year":2014,"url":"http://dx.doi.org/10.1089/omi.2013.0149","authors":"Kolker, Eugene; Özdemir, Vural; Martens, Lennart; Hancock, William; Anderson, Gordon; Anderson, Nathaniel; Aynacioglu, Sukru; Baranova, Ancha; Campagna, Shawn R.; Chen, Rui; Choiniere, John; Dearth, Stephen P.; Feng, Wu-Chun; Ferguson, Lynnette; Fox, Geoffrey; Frishman, Dmitrij; Grossman, Robert; Heath, Allison; Higdon, Roger; Hutz, Mara H.; Janko, Imre; Jiang, Lihua; Joshi, Sanjay; Kel, Alexander; Kemnitz, Joseph W.; Kohane, Isaac S.; Kolker, Natali; Lancet, Doron; Lee, Elaine; Li, Weizhong; Lisitsa, Andrey; Llerena, Adrian; MacNealy-Koch, Courtney; Marshall, Jean-Claude; Masuzzo, Paola; May, Amanda; Mias, George; Monroe, Matthew; Montague, Elizabeth; Mooney, Sean; Nesvizhskii, Alexey; Noronha, Santosh; Omenn, Gilbert; Rajasimha, Harsha; Ramamoorthy, Preveen; Sheehan, Jerry; Smarr, Larry; Smith, Charles V.; Smith, Todd; Snyder, Michael; Rapole, Srikanth; Srivastava, Sanjeeva; Stanberry, Larissa; Stewart, Elizabeth; Toppo, Stefano; Uetz, Peter; Verheggen, Kenneth; Voy, Brynn H.; Warnich, Louise; Wilhelm, Steven W.; Yandl, Gregory; ","journal":"OMICS: A Journal of Integrative Biology","doi":"10.1089/omi.2013.0149","created_at":"2022-05-18T10:53:06.457Z","updated_at":"2022-05-18T10:53:06.457Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"622","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.285Z","metadata":{"doi":"10.25504/FAIRsharing.ps501f","name":"BioPortal Metadata","status":"ready","contacts":[{"contact_name":"Natasha Noy","contact_email":"noy@stanford.edu","contact_orcid":"0000-0002-7437-0624"}],"homepage":"http://www.bioontology.org/wiki/index.php/BioPortal_Metadata","identifier":622,"description":"This ontology represents the structure that BioPortal uses to represent all of its metadata (ontology details, mappings, notes, reviews, views).","abbreviation":null,"support_links":[{"url":"http://bioportal.bioontology.org/feedback","type":"Contact form"},{"url":"http://www.bioontology.org/wiki/index.php/Architecture","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BP-METADATA","name":"BP-METADATA","portal":"BioPortal"}]},"legacy_ids":["bsg-002603","bsg-s002603"],"name":"FAIRsharing record for: BioPortal Metadata","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ps501f","doi":"10.25504/FAIRsharing.ps501f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology represents the structure that BioPortal uses to represent all of its metadata (ontology details, mappings, notes, reviews, views).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5960,"fairsharing_record_id":622,"organisation_id":273,"relation":"maintains","created_at":"2021-09-30T09:27:44.125Z","updated_at":"2021-09-30T09:27:44.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":273,"name":"BioPortal Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"623","type":"fairsharing_records","attributes":{"created_at":"2021-05-04T13:48:53.000Z","updated_at":"2022-12-27T17:19:42.167Z","metadata":{"name":"EnzymeML","status":"in_development","contacts":[{"contact_name":"Dr. Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://enzymeml.org/","citations":[],"identifier":623,"description":"EnzymeML is a free and open standard XML-based interchange format for data on enzyme-catalyzed reactions. The purpose of EnzymeML is to store and exchange enzyme kinetics data between instruments, software tools, and databases. EnzymeML will allow scientists to share their experimental protocols and results even if they are using different instruments, electronic laboratory notebooks, or databases. EnzymeML is compatible with the Systems Biology Markup Language (SBML). It continues to be evolved and expanded by an international community.","abbreviation":"EnzymeML","support_links":[{"url":"https://enzymeml.org/documents/guide/","name":"Software and Databases Guide","type":"Help documentation"},{"url":"https://github.com/EnzymeML","name":"GitHub Repository","type":"Github"},{"url":"https://twitter.com/EnzymeML","name":"@EnzymeML","type":"Twitter"}],"year_creation":2021,"associated_tools":[{"url":"https://github.com/EnzymeML/PyEnzyme/tree/main","name":"PyEnzyme 1.0"}]},"legacy_ids":["bsg-001612","bsg-s001612"],"name":"FAIRsharing record for: EnzymeML","abbreviation":"EnzymeML","url":"https://fairsharing.org/fairsharing_records/623","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EnzymeML is a free and open standard XML-based interchange format for data on enzyme-catalyzed reactions. The purpose of EnzymeML is to store and exchange enzyme kinetics data between instruments, software tools, and databases. EnzymeML will allow scientists to share their experimental protocols and results even if they are using different instruments, electronic laboratory notebooks, or databases. EnzymeML is compatible with the Systems Biology Markup Language (SBML). It continues to be evolved and expanded by an international community.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14559}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Integration","Data Quality","Enzymology","Data Visualization"],"domains":["Reaction data","Experimental measurement","Kinetic model","Data acquisition","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":5962,"fairsharing_record_id":623,"organisation_id":3094,"relation":"maintains","created_at":"2021-09-30T09:27:44.175Z","updated_at":"2021-09-30T09:27:44.175Z","grant_id":null,"is_lead":false,"saved_state":{"id":3094,"name":"University of Michigan Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5961,"fairsharing_record_id":623,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:27:44.150Z","updated_at":"2021-09-30T09:27:44.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5963,"fairsharing_record_id":623,"organisation_id":3128,"relation":"maintains","created_at":"2021-09-30T09:27:44.200Z","updated_at":"2021-09-30T09:27:44.200Z","grant_id":null,"is_lead":true,"saved_state":{"id":3128,"name":"University of Stuttgart","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5964,"fairsharing_record_id":623,"organisation_id":3062,"relation":"maintains","created_at":"2021-09-30T09:27:44.233Z","updated_at":"2021-09-30T09:27:44.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":3062,"name":"University of Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"625","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:40.000Z","updated_at":"2022-11-01T11:54:44.065Z","metadata":{"doi":"10.25504/FAIRsharing.jLpL6i","name":"FAIR Metrics - Use a Knowledge Representation Language","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_I1","citations":[],"identifier":625,"description":"FM-I1 provides a metric for the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. To this end, a URL to the specification of the language must be provided. This metric applies to part I1 of the FAIR Principles.","abbreviation":"FM-I1","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001350","bsg-s001350"],"name":"FAIRsharing record for: FAIR Metrics - Use a Knowledge Representation Language","abbreviation":"FM-I1","url":"https://fairsharing.org/10.25504/FAIRsharing.jLpL6i","doi":"10.25504/FAIRsharing.jLpL6i","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-I1 provides a metric for the use of a formal, accessible, shared, and broadly applicable language for knowledge representation. The unambiguous communication of knowledge and meaning (what symbols are, and how they relate to one another) necessitates the use of languages that are capable of representing these concepts in a machine-readable manner. To this end, a URL to the specification of the language must be provided. This metric applies to part I1 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance","Ontology and Terminology"],"domains":["Resource metadata","Data identity and mapping","Digital curation","Knowledge representation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1410,"relation":"undefined"}],"grants":[{"id":5966,"fairsharing_record_id":625,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:44.335Z","updated_at":"2021-09-30T09:27:44.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5965,"fairsharing_record_id":625,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:44.259Z","updated_at":"2021-09-30T09:27:44.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5967,"fairsharing_record_id":625,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:44.368Z","updated_at":"2021-09-30T09:27:44.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5968,"fairsharing_record_id":625,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:44.429Z","updated_at":"2021-09-30T09:27:44.429Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"627","type":"fairsharing_records","attributes":{"created_at":"2020-12-09T13:14:41.000Z","updated_at":"2022-07-20T09:41:59.870Z","metadata":{"doi":"10.25504/FAIRsharing.f21eae","name":"Standard-Thesaurus Wirtschaft Thesaurus for Economics","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"stw@zbw.eu"}],"homepage":"https://zbw.eu/stw/version/latest/about.en.html","citations":[],"identifier":627,"description":"The Standard-Thesaurus Wirtschaft (STW) Thesaurus for Economics contains terms relating to economics as well as technical terms used in law, sociology, politics, and geographic names. The STW Thesaurus for Economics is a bilingual thesaurus (German, English) for representing and searching economics-related content. It is used by universities, research institutes, public institutions and companies for knowledge organization and for research and development in computer and information science as well as in the area of Linked Data and Semantic Web technologies. The STW Thesaurus for Economics is part of the Linked Open Data Cloud and other information environments and web services for processing and linking economic literature, research data, author profiles and educational material.","abbreviation":"STW Thesaurus for Economics","support_links":[{"url":"http://www.zbw.eu/en/stw-info","name":"About STW","type":"Help documentation"}],"year_creation":1998},"legacy_ids":["bsg-001552","bsg-s001552"],"name":"FAIRsharing record for: Standard-Thesaurus Wirtschaft Thesaurus for Economics","abbreviation":"STW Thesaurus for Economics","url":"https://fairsharing.org/10.25504/FAIRsharing.f21eae","doi":"10.25504/FAIRsharing.f21eae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Standard-Thesaurus Wirtschaft (STW) Thesaurus for Economics contains terms relating to economics as well as technical terms used in law, sociology, politics, and geographic names. The STW Thesaurus for Economics is a bilingual thesaurus (German, English) for representing and searching economics-related content. It is used by universities, research institutes, public institutions and companies for knowledge organization and for research and development in computer and information science as well as in the area of Linked Data and Semantic Web technologies. The STW Thesaurus for Economics is part of the Linked Open Data Cloud and other information environments and web services for processing and linking economic literature, research data, author profiles and educational material.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Political Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":2229,"relation":"undefined"}],"grants":[{"id":5969,"fairsharing_record_id":627,"organisation_id":1696,"relation":"maintains","created_at":"2021-09-30T09:27:44.460Z","updated_at":"2021-09-30T09:27:44.460Z","grant_id":null,"is_lead":true,"saved_state":{"id":1696,"name":"Leibniz Information Centre for Economics (ZBW), Kiel, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"628","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-03-23T11:36:29.053Z","metadata":{"doi":"10.25504/FAIRsharing.7m85ax","name":"Taxonomy for Rehabilitation of Knee Conditions","status":"ready","contacts":[{"contact_name":"Irena Spasic","contact_email":"i.spasic@cs.cardiff.ac.uk"}],"homepage":"http://www.cs.cf.ac.uk/trak","citations":[],"identifier":628,"description":"TRAK (Taxonomy for RehAbilitation of Knee conditions) is an ontology that formally models information relevant for the rehabilitation of knee conditions. TRAK provides the framework that can be used to collect coded data in sufficient detail to support epidemiologic studies so that the most effective treatment components can be identified, new interventions developed and the quality of future randomized control trials improved to incorporate a control intervention that is well defined and reflects clinical practice.","abbreviation":"TRAK","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TRAK","name":"TRAK","portal":"BioPortal"}]},"legacy_ids":["bsg-000796","bsg-s000796"],"name":"FAIRsharing record for: Taxonomy for Rehabilitation of Knee Conditions","abbreviation":"TRAK","url":"https://fairsharing.org/10.25504/FAIRsharing.7m85ax","doi":"10.25504/FAIRsharing.7m85ax","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TRAK (Taxonomy for RehAbilitation of Knee conditions) is an ontology that formally models information relevant for the rehabilitation of knee conditions. TRAK provides the framework that can be used to collect coded data in sufficient detail to support epidemiologic studies so that the most effective treatment components can be identified, new interventions developed and the quality of future randomized control trials improved to incorporate a control intervention that is well defined and reflects clinical practice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Biomedical Science","Pain Medicine","Pathology"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Rehabilitation Medicine"],"countries":["United Kingdom"],"publications":[{"id":3819,"pubmed_id":23665300,"title":"TRAK ontology: defining standard care for the rehabilitation of knee conditions.","year":2013,"url":"https://doi.org/10.1016/j.jbi.2013.04.009","authors":"Button K, van Deursen RW, Soldatova L, Spasić I","journal":"Journal of biomedical informatics","doi":"10.1016/j.jbi.2013.04.009","created_at":"2023-03-23T11:22:17.024Z","updated_at":"2023-03-23T11:22:17.024Z"},{"id":3820,"pubmed_id":26347806,"title":"KneeTex: an ontology-driven system for information extraction from MRI reports.","year":2015,"url":"https://doi.org/10.1186/s13326-015-0033-1","authors":"Spasić I, Zhao B, Jones CB, Button K","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-015-0033-1","created_at":"2023-03-23T11:22:36.047Z","updated_at":"2023-03-23T11:22:36.047Z"},{"id":3821,"pubmed_id":26474643,"title":"TRAK App Suite: A Web-Based Intervention for Delivering Standard Care for the Rehabilitation of Knee Conditions.","year":2015,"url":"https://doi.org/10.2196/resprot.4091","authors":"Spasić I, Button K, Divoli A, Gupta S, Pataky T, Pizzocaro D, Preece A, van Deursen R, Wilson C","journal":"JMIR research protocols","doi":"10.2196/resprot.4091","created_at":"2023-03-23T11:22:59.813Z","updated_at":"2023-03-23T11:22:59.813Z"}],"licence_links":[],"grants":[{"id":10446,"fairsharing_record_id":628,"organisation_id":3926,"relation":"associated_with","created_at":"2023-03-23T11:24:45.152Z","updated_at":"2023-03-23T11:24:45.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":3926,"name":"Cardiff University","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"630","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-12-23T08:40:13.686Z","metadata":{"doi":"10.25504/FAIRsharing.38ph3j","name":"OntoPsychia, social module","status":"ready","contacts":[{"contact_name":"Jean Charlet","contact_email":"Jean.Charlet@upmc.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/ONTOPSYCHIA","citations":[],"identifier":630,"description":"Ontology of social and environmental determinants for psychiatry","abbreviation":"ONTOPSYCHIA","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOPSYCHIA","name":"ONTOPSYCHIA","portal":"BioPortal"}]},"legacy_ids":["bsg-000801","bsg-s000801"],"name":"FAIRsharing record for: OntoPsychia, social module","abbreviation":"ONTOPSYCHIA","url":"https://fairsharing.org/10.25504/FAIRsharing.38ph3j","doi":"10.25504/FAIRsharing.38ph3j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology of social and environmental determinants for psychiatry","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Psychiatry","Clinical Psychology","Systems Medicine","Medical Informatics"],"domains":["Monitoring","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"669","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:59:37.122Z","metadata":{"doi":"10.25504/FAIRsharing.j75srj","name":"Soybean Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"https://cropontology.org/term/CO_336:ROOT","citations":[],"identifier":669,"description":"The Soybean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_336","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001112","bsg-s001112"],"name":"FAIRsharing record for: Soybean Ontology","abbreviation":"CO_336","url":"https://fairsharing.org/10.25504/FAIRsharing.j75srj","doi":"10.25504/FAIRsharing.j75srj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Soybean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Glycine max"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1749,"relation":"undefined"}],"grants":[{"id":6020,"fairsharing_record_id":669,"organisation_id":485,"relation":"funds","created_at":"2021-09-30T09:27:46.268Z","updated_at":"2021-09-30T09:27:46.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6018,"fairsharing_record_id":669,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:27:46.218Z","updated_at":"2021-09-30T09:27:46.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6019,"fairsharing_record_id":669,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:27:46.244Z","updated_at":"2021-09-30T09:27:46.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"670","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-03-23T14:31:38.874Z","metadata":{"doi":"10.25504/FAIRsharing.b5yzzf","name":"Dependency Layered Ontology for Radiation Oncology","status":"ready","contacts":[{"contact_name":"alan kalet","contact_email":"amkalet@uw.edu"}],"homepage":"https://ont2bn.radonc.washington.edu/IROK/","citations":[],"identifier":670,"description":"Dependency Layered Ontology for Radiation Oncology","abbreviation":"DLORO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DLORO","name":"DLORO","portal":"BioPortal"}]},"legacy_ids":["bsg-001071","bsg-s001071"],"name":"FAIRsharing record for: Dependency Layered Ontology for Radiation Oncology","abbreviation":"DLORO","url":"https://fairsharing.org/10.25504/FAIRsharing.b5yzzf","doi":"10.25504/FAIRsharing.b5yzzf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dependency Layered Ontology for Radiation Oncology","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiation Oncology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3824,"pubmed_id":null,"title":"Developing Bayesian networks from a dependency‐layered ontology: A proof‐of‐concept in radiation oncology","year":2017,"url":"http://dx.doi.org/10.1002/mp.12340","authors":"Kalet, Alan M.; Doctor, Jason N.; Gennari, John H.; Phillips, Mark H.; ","journal":"Med. Phys.","doi":"10.1002/mp.12340","created_at":"2023-03-23T14:25:46.932Z","updated_at":"2023-03-23T14:25:46.932Z"}],"licence_links":[],"grants":[{"id":10448,"fairsharing_record_id":670,"organisation_id":3928,"relation":"maintains","created_at":"2023-03-23T14:30:01.172Z","updated_at":"2023-03-23T14:30:01.172Z","grant_id":null,"is_lead":false,"saved_state":{"id":3928,"name":"Department of Radiation Oncology, University of Washington Medical Center","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"671","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-06T14:56:29.842Z","metadata":{"doi":"10.25504/FAIRsharing.jgzts3","name":"Neuroimaging Informatics Technology Initiative","status":"ready","contacts":[{"contact_name":"Mark Jenkinson","contact_email":"mark@fmrib.ox.ac.uk","contact_orcid":"0000-0001-6043-0166"}],"homepage":"https://nifti.nimh.nih.gov/","citations":[],"identifier":671,"description":"The Neuroimaging Informatics Technology Initiative (NIfTI) is an open file format commonly used to store brain imaging data obtained using Magnetic Resonance Imaging methods.","abbreviation":"NIfTI","support_links":[{"url":"https://nifti.nimh.nih.gov/nifti-1/documentation/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://nifti.nimh.nih.gov/nifti-1/documentation/hbm_nifti_2004.pdf","type":"Help documentation"},{"url":"https://nifti.nimh.nih.gov/nifti-1/documentation/nifti1diagrams_v2.pdf","type":"Help documentation"},{"url":"https://nifti.nimh.nih.gov/background","name":"Background","type":"Help documentation"},{"url":"https://github.com/gllmflndn/gifti","type":"Github"}],"year_creation":2004},"legacy_ids":["bsg-000527","bsg-s000527"],"name":"FAIRsharing record for: Neuroimaging Informatics Technology Initiative","abbreviation":"NIfTI","url":"https://fairsharing.org/10.25504/FAIRsharing.jgzts3","doi":"10.25504/FAIRsharing.jgzts3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neuroimaging Informatics Technology Initiative (NIfTI) is an open file format commonly used to store brain imaging data obtained using Magnetic Resonance Imaging methods.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17347}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology"],"domains":["Medical imaging","Image","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6021,"fairsharing_record_id":671,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:46.332Z","updated_at":"2021-09-30T09:27:46.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10702,"fairsharing_record_id":671,"organisation_id":2022,"relation":"funds","created_at":"2023-06-27T08:50:53.423Z","updated_at":"2023-06-27T08:50:53.423Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10703,"fairsharing_record_id":671,"organisation_id":2023,"relation":"funds","created_at":"2023-06-27T08:50:53.426Z","updated_at":"2023-06-27T08:50:53.426Z","grant_id":null,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"672","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:56.000Z","updated_at":"2022-11-01T11:57:07.172Z","metadata":{"doi":"10.25504/FAIRsharing.B2sbNh","name":"FAIR Metrics - Use Qualified References","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_I3","citations":[],"identifier":672,"description":"FM-I3 is a metric concerned with relationships within (meta)data, and between local and third-party data, and whether or not they have explicit and ‘useful’ semantic meaning. One of the reasons that HTML is not suitable for machine-readable knowledge representation is that the hyperlinks between one document and another do not explain the nature of the relationship - it is “unqualified”. For Interoperability, the relationships within and between data must be more semantically rich than “is (somehow) related to”. Numerous ontologies include richer relationships that can be used for this purpose, at various levels of domain-specificity. For example, the use of skos for terminologies (e.g. exact matches), or the use of SIO for genomics (e.g. “has phenotype” for the relationship between a variant and its phenotypic consequences). The expectation is that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5-star linked data. Therefore linksets (in the formal sense) representing part or all of a resource must be provided. This metric applies to part I3 of the FAIR Principles.","abbreviation":"FM-I3","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001352","bsg-s001352"],"name":"FAIRsharing record for: FAIR Metrics - Use Qualified References","abbreviation":"FM-I3","url":"https://fairsharing.org/10.25504/FAIRsharing.B2sbNh","doi":"10.25504/FAIRsharing.B2sbNh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-I3 is a metric concerned with relationships within (meta)data, and between local and third-party data, and whether or not they have explicit and ‘useful’ semantic meaning. One of the reasons that HTML is not suitable for machine-readable knowledge representation is that the hyperlinks between one document and another do not explain the nature of the relationship - it is “unqualified”. For Interoperability, the relationships within and between data must be more semantically rich than “is (somehow) related to”. Numerous ontologies include richer relationships that can be used for this purpose, at various levels of domain-specificity. For example, the use of skos for terminologies (e.g. exact matches), or the use of SIO for genomics (e.g. “has phenotype” for the relationship between a variant and its phenotypic consequences). The expectation is that some of the references/relations point outwards to other resources, owned by third-parties; this is one of the requirements for 5-star linked data. Therefore linksets (in the formal sense) representing part or all of a resource must be provided. This metric applies to part I3 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1414,"relation":"undefined"}],"grants":[{"id":6023,"fairsharing_record_id":672,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:46.403Z","updated_at":"2021-09-30T09:27:46.403Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6022,"fairsharing_record_id":672,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:46.372Z","updated_at":"2021-09-30T09:27:46.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6024,"fairsharing_record_id":672,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:46.427Z","updated_at":"2021-09-30T09:27:46.427Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6025,"fairsharing_record_id":672,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:46.451Z","updated_at":"2021-09-30T09:27:46.451Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"673","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-01-11T14:35:00.373Z","metadata":{"doi":"10.25504/FAIRsharing.r34hjr","name":"Minimal Standard Terminology of Digestive Endoscopy, French","status":"deprecated","contacts":[{"contact_name":"NLM Customer Service","contact_email":"jwillis@nlm.nih.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/MSTDE-FRE","citations":[],"identifier":673,"description":"Metathesaurus Version of Minimal Standard Terminology Digestive Endoscopy, French Translation, 2001","abbreviation":"MSTDE-FRE","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSTDE-FRE","name":"MSTDE-FRE","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"This resource no longer exists outside of BioPortal that we can find, and therefore has been deprecated. Please let us know if there is an official project page for this resource and we will update the status of the record."},"legacy_ids":["bsg-000820","bsg-s000820"],"name":"FAIRsharing record for: Minimal Standard Terminology of Digestive Endoscopy, French","abbreviation":"MSTDE-FRE","url":"https://fairsharing.org/10.25504/FAIRsharing.r34hjr","doi":"10.25504/FAIRsharing.r34hjr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metathesaurus Version of Minimal Standard Terminology Digestive Endoscopy, French Translation, 2001","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gastroenterology"],"domains":[],"taxonomies":["All"],"user_defined_tags":["endoscopy"],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"674","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:37:13.000Z","updated_at":"2022-12-14T08:24:14.560Z","metadata":{"doi":"10.25504/FAIRsharing.lSuKtr","name":"IVOA Server-side Operations for Data Access","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SODA/index.html","citations":[{"publication_id":2941}],"identifier":674,"description":"This document describes the Server-side Operations for Data Access (SODA) web service capability. SODA is a low-level data access capability or server side data processing that can act upon the data files, performing various kinds of operations: filtering/subsection, transformations, pixel operations, and applying functions to the data.","abbreviation":"SODA","support_links":[{"url":"http://ivoa.net/documents/SODA/20170604/REC-SODA-1.0.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SODA","name":"SODA Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001159","bsg-s001159"],"name":"FAIRsharing record for: IVOA Server-side Operations for Data Access","abbreviation":"SODA","url":"https://fairsharing.org/10.25504/FAIRsharing.lSuKtr","doi":"10.25504/FAIRsharing.lSuKtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document describes the Server-side Operations for Data Access (SODA) web service capability. SODA is a low-level data access capability or server side data processing that can act upon the data files, performing various kinds of operations: filtering/subsection, transformations, pixel operations, and applying functions to the data.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11463}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2941,"pubmed_id":null,"title":"IVOA Server-side Operations for Data Access Version 1.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0517B","authors":"Bonnarel, François; Dowler, Patrick; Demleitner, Markus; Tody, Douglas; Dempsey, James","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.458Z","updated_at":"2021-09-30T08:28:02.458Z"}],"licence_links":[],"grants":[{"id":6026,"fairsharing_record_id":674,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:46.478Z","updated_at":"2021-09-30T09:27:46.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6027,"fairsharing_record_id":674,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:27:46.501Z","updated_at":"2021-09-30T09:27:46.501Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"675","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:37:04.336Z","metadata":{"doi":"10.25504/FAIRsharing.6mmbzs","name":"Protein-ligand interaction ontology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de"}],"homepage":"https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads.html","identifier":675,"description":"The protein--ligand interaction ontology (PLIO) was developed around three main concepts, namely target, ligand and interaction, and was enriched by adding synonyms, useful annotations and references. PLIO represents knowledge about the interaction of proteins and ligands (including drugs) and has a different scope and conceptual resolution than, for example, the molecular interaction ontology. An important feature of PLIO is that it links directly from an ontology framework describing protein–ligand interactions to the mathematical formulas relevant for the computation of some of the entities represented in the ontology.","abbreviation":"PLIO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PLIO","name":"PLIO","portal":"BioPortal"}]},"legacy_ids":["bsg-000926","bsg-s000926"],"name":"FAIRsharing record for: Protein-ligand interaction ontology","abbreviation":"PLIO","url":"https://fairsharing.org/10.25504/FAIRsharing.6mmbzs","doi":"10.25504/FAIRsharing.6mmbzs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The protein--ligand interaction ontology (PLIO) was developed around three main concepts, namely target, ligand and interaction, and was enriched by adding synonyms, useful annotations and references. PLIO represents knowledge about the interaction of proteins and ligands (including drugs) and has a different scope and conceptual resolution than, for example, the molecular interaction ontology. An important feature of PLIO is that it links directly from an ontology framework describing protein–ligand interactions to the mathematical formulas relevant for the computation of some of the entities represented in the ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Protein interaction","Ligand","Binding","Ligand binding domain binding","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1006,"pubmed_id":21546398,"title":"PLIO: an ontology for formal description of protein-ligand interactions.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr256","authors":"Ivchenko O,Younesi E,Shahid M,Wolf A,Muller B,Hofmann-Apitius M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr256","created_at":"2021-09-30T08:24:11.346Z","updated_at":"2021-09-30T08:24:11.346Z"}],"licence_links":[],"grants":[{"id":6029,"fairsharing_record_id":675,"organisation_id":296,"relation":"maintains","created_at":"2021-09-30T09:27:46.551Z","updated_at":"2021-09-30T09:27:46.551Z","grant_id":null,"is_lead":false,"saved_state":{"id":296,"name":"Bonn-Aachen International Center for Information Technology (b-it)","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6028,"fairsharing_record_id":675,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:46.528Z","updated_at":"2021-09-30T09:27:46.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6030,"fairsharing_record_id":675,"organisation_id":3021,"relation":"maintains","created_at":"2021-09-30T09:27:46.578Z","updated_at":"2021-09-30T09:27:46.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":3021,"name":"University of Bonn, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"653","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.560Z","metadata":{"doi":"10.25504/FAIRsharing.1mk4v9","name":"STrengthening the Reporting of OBservational studies in Epidemiology","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"strobe@ispm.unibe.ch"}],"homepage":"http://www.strobe-statement.org/","identifier":653,"description":"STROBE was created by an international, collaborative initiative of epidemiologists, methodologists, statisticians, researchers and journal editors involved in the conduct and dissemination of observational studies, with the common aim of STrengthening the Reporting of OBservational studies in Epidemiology.","abbreviation":"STROBE","support_links":[{"url":"http://www.strobe-statement.org/index.php?id=available-checklists","name":"STROBE checklists","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000064","bsg-s000064"],"name":"FAIRsharing record for: STrengthening the Reporting of OBservational studies in Epidemiology","abbreviation":"STROBE","url":"https://fairsharing.org/10.25504/FAIRsharing.1mk4v9","doi":"10.25504/FAIRsharing.1mk4v9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STROBE was created by an international, collaborative initiative of epidemiologists, methodologists, statisticians, researchers and journal editors involved in the conduct and dissemination of observational studies, with the common aim of STrengthening the Reporting of OBservational studies in Epidemiology.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17364},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11924},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12393}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Epidemiology"],"domains":["Disease onset","Observation design","Disease","Disease course"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":134,"pubmed_id":27270749,"title":"Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology (STROBE-nut): An Extension of the STROBE Statement","year":2016,"url":"http://doi.org/10.1371/journal.pmed.1002036","authors":"Lachat C, Hawwash D, Ocké MC, Berg C, Forsum E, Hörnell A, Larsson CL, Sonestedt E, Wirfält E, Åkesson A, Kolsteren P, Byrnes G, De Keyzer W, Van Camp J, Cade JE, Slimani N, Cevallos M, Egger M, Huybrechts I","journal":"Plos Medicine","doi":"10.1371/journal.pmed.1002036","created_at":"2021-09-30T08:22:34.681Z","updated_at":"2021-09-30T08:22:34.681Z"},{"id":938,"pubmed_id":18313558,"title":"The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.","year":2008,"url":"http://doi.org/10.1016/j.jclinepi.2007.11.008","authors":"von Elm E,Altman DG,Egger M,Pocock SJ,Gotzsche PC,Vandenbroucke JP","journal":"J Clin Epidemiol","doi":"10.1016/j.jclinepi.2007.11.008","created_at":"2021-09-30T08:24:03.771Z","updated_at":"2021-09-30T08:24:03.771Z"},{"id":939,"pubmed_id":29061635,"title":"The STROBE extensions: protocol for a qualitative assessment of content and a survey of endorsement.","year":2017,"url":"http://doi.org/10.1136/bmjopen-2017-019043","authors":"Sharp MK,Utrobicic A,Gomez G,Cobo E,Wager E,Hren D","journal":"BMJ Open","doi":"10.1136/bmjopen-2017-019043","created_at":"2021-09-30T08:24:03.879Z","updated_at":"2021-09-30T08:24:03.879Z"}],"licence_links":[],"grants":[{"id":5997,"fairsharing_record_id":653,"organisation_id":954,"relation":"funds","created_at":"2021-09-30T09:27:45.661Z","updated_at":"2021-09-30T09:27:45.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":954,"name":"European Science Foundation (ESF)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5999,"fairsharing_record_id":653,"organisation_id":2655,"relation":"maintains","created_at":"2021-09-30T09:27:45.743Z","updated_at":"2021-09-30T09:27:45.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2655,"name":"STROBE group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5995,"fairsharing_record_id":653,"organisation_id":2003,"relation":"funds","created_at":"2021-09-30T09:27:45.589Z","updated_at":"2021-09-30T09:27:45.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5996,"fairsharing_record_id":653,"organisation_id":1437,"relation":"maintains","created_at":"2021-09-30T09:27:45.624Z","updated_at":"2021-09-30T09:27:45.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":1437,"name":"Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5998,"fairsharing_record_id":653,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:45.713Z","updated_at":"2021-09-30T09:27:45.713Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"654","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-23T15:12:17.978Z","metadata":{"doi":"10.25504/FAIRsharing.shpqgt","name":"Halocynthia roretzi Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioelf-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":654,"description":"The first ontology describing the anatomy and the development of Halocynthia roretzi.","abbreviation":"HAROREADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HAROREADO","name":"HAROREADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000812","bsg-s000812"],"name":"FAIRsharing record for: Halocynthia roretzi Anatomy and Development Ontology","abbreviation":"HAROREADO","url":"https://fairsharing.org/10.25504/FAIRsharing.shpqgt","doi":"10.25504/FAIRsharing.shpqgt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Halocynthia roretzi.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Halocynthia roretzi"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10449,"fairsharing_record_id":654,"organisation_id":1974,"relation":"funds","created_at":"2023-03-23T15:11:44.589Z","updated_at":"2023-03-23T15:11:44.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"655","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-24T11:15:48.111Z","metadata":{"doi":"10.25504/FAIRsharing.g7y77y","name":"Ciona savignyi Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":655,"description":"The first ontology describing the anatomy and the development of Ciona savignyi, based on the Hotta developmental table.","abbreviation":"CISAVIADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CISAVIADO","name":"CISAVIADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000814","bsg-s000814"],"name":"FAIRsharing record for: Ciona savignyi Anatomy and Development Ontology","abbreviation":"CISAVIADO","url":"https://fairsharing.org/10.25504/FAIRsharing.g7y77y","doi":"10.25504/FAIRsharing.g7y77y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Ciona savignyi, based on the Hotta developmental table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Ciona savignyi"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10457,"fairsharing_record_id":655,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T11:15:22.940Z","updated_at":"2023-03-24T11:15:22.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"656","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:47.000Z","updated_at":"2022-11-01T11:57:20.015Z","metadata":{"doi":"10.25504/FAIRsharing.0A9kNV","name":"FAIR Metrics - Use FAIR Vocabularies","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_I2","citations":[],"identifier":656,"description":"FM-I2 is a metric concerning whether the metadata values and qualified relations of a resource are themselves FAIR, for example, terms from open, community-accepted vocabularies published in an appropriate knowledge-exchange format. It is not possible to unambiguously interpret metadata represented as simple keywords or other non-qualified symbols. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. As such, IRIs representing the vocabularies used for (meta)data must be provided. This metric applies to part I2 of the FAIR Principles.","abbreviation":"FM-I2","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001351","bsg-s001351"],"name":"FAIRsharing record for: FAIR Metrics - Use FAIR Vocabularies","abbreviation":"FM-I2","url":"https://fairsharing.org/10.25504/FAIRsharing.0A9kNV","doi":"10.25504/FAIRsharing.0A9kNV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-I2 is a metric concerning whether the metadata values and qualified relations of a resource are themselves FAIR, for example, terms from open, community-accepted vocabularies published in an appropriate knowledge-exchange format. It is not possible to unambiguously interpret metadata represented as simple keywords or other non-qualified symbols. For interoperability, it must be possible to identify data that can be integrated like-with-like. This requires that the data, and the provenance descriptors of the data, should (where reasonable) use vocabularies and terminologies that are, themselves, FAIR. As such, IRIs representing the vocabularies used for (meta)data must be provided. This metric applies to part I2 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1412,"relation":"undefined"}],"grants":[{"id":6002,"fairsharing_record_id":656,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:45.817Z","updated_at":"2021-09-30T09:27:45.817Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6000,"fairsharing_record_id":656,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:45.767Z","updated_at":"2021-09-30T09:27:45.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6001,"fairsharing_record_id":656,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:45.793Z","updated_at":"2021-09-30T09:27:45.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6003,"fairsharing_record_id":656,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:45.844Z","updated_at":"2021-09-30T09:27:45.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"657","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-12-23T18:06:59.327Z","metadata":{"doi":"10.25504/FAIRsharing.pzxjh","name":"Cerrado concepts and plant community dynamics","status":"ready","contacts":[{"contact_name":"Adriano Souza","contact_email":"souza.a@outlook.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/CCON","citations":[],"identifier":657,"description":"The ontology of Cerrado wood plant dynamics was created in order to represent the set of concepts about the dynamics, that is, changes over time of the wood vegetation structure, of Cerrado. Ccon describes the main parameters used to measure the changes, such as mortality rate and recruitment rate.","abbreviation":"CCON","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CCON","name":"CCON","portal":"BioPortal"}]},"legacy_ids":["bsg-000811","bsg-s000811"],"name":"FAIRsharing record for: Cerrado concepts and plant community dynamics","abbreviation":"CCON","url":"https://fairsharing.org/10.25504/FAIRsharing.pzxjh","doi":"10.25504/FAIRsharing.pzxjh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology of Cerrado wood plant dynamics was created in order to represent the set of concepts about the dynamics, that is, changes over time of the wood vegetation structure, of Cerrado. Ccon describes the main parameters used to measure the changes, such as mortality rate and recruitment rate.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Plant Ecology","Population Dynamics","Biodiversity","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"658","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2022-09-28T13:01:25.676Z","metadata":{"doi":"10.25504/FAIRsharing.gdrs2p","name":"Semantic DICOM Ontology","status":"deprecated","contacts":[{"contact_name":"Detlef Grittner","contact_email":"detlef.grittner@sohard.de"}],"homepage":"http://semantic-dicom.org","citations":[],"identifier":658,"description":"An ontology for DICOM as used in the SeDI project.","abbreviation":"SEDI","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SEDI","name":"SEDI","portal":"BioPortal"}],"deprecation_date":"2022-09-28","deprecation_reason":"This resource can no longer be found via the project homepage, and the version available in BioPortal was last updated in 2015. As such we cannot state with confidence that this resource is ready."},"legacy_ids":["bsg-000886","bsg-s000886"],"name":"FAIRsharing record for: Semantic DICOM Ontology","abbreviation":"SEDI","url":"https://fairsharing.org/10.25504/FAIRsharing.gdrs2p","doi":"10.25504/FAIRsharing.gdrs2p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for DICOM as used in the SeDI project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"659","type":"fairsharing_records","attributes":{"created_at":"2018-04-12T10:05:36.000Z","updated_at":"2022-07-20T11:44:33.861Z","metadata":{"name":"ICIS Germplasm Methods Ontology","status":"deprecated","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_040:ROOT","citations":[],"identifier":659,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The ICIS Germplasm Methods Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_040","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2011,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001171","bsg-s001171"],"name":"FAIRsharing record for: ICIS Germplasm Methods Ontology","abbreviation":"CO_040","url":"https://fairsharing.org/fairsharing_records/659","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The ICIS Germplasm Methods Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science","Plant Anatomy","Plant Cell Biology"],"domains":["Germplasm"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":14,"relation":"undefined"}],"grants":[{"id":6004,"fairsharing_record_id":659,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:45.867Z","updated_at":"2021-09-30T09:27:45.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"631","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-16T18:57:41.008Z","metadata":{"doi":"10.25504/FAIRsharing.bc8ayj","name":"Zebrafish Developmental Stages","status":"ready","contacts":[{"contact_name":"ZFIN administrators","contact_email":"zfinadmin@zfin.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/ZFS","citations":[],"identifier":631,"description":"An ontology of developmental stages of the Zebrafish (Danio rerio). Note that ZFA includes the leaf nodes of this ontology.","abbreviation":"ZFS","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ZFS","name":"ZFS","portal":"BioPortal"}]},"legacy_ids":["bsg-000802","bsg-s000802"],"name":"FAIRsharing record for: Zebrafish Developmental Stages","abbreviation":"ZFS","url":"https://fairsharing.org/10.25504/FAIRsharing.bc8ayj","doi":"10.25504/FAIRsharing.bc8ayj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of developmental stages of the Zebrafish (Danio rerio). Note that ZFA includes the leaf nodes of this ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Zoology","Marine Biology","Developmental Biology"],"domains":["Aging","Life cycle"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10421,"fairsharing_record_id":631,"organisation_id":3110,"relation":"maintains","created_at":"2023-03-16T18:56:53.154Z","updated_at":"2023-03-16T18:56:53.154Z","grant_id":null,"is_lead":true,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"632","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-05-05T07:32:49.974Z","metadata":{"doi":"10.25504/FAIRsharing.9ry4cz","name":"GoMapMan","status":"ready","contacts":[{"contact_name":"Ziva Ramsak","contact_email":"ziva.ramsak@nib.si"}],"homepage":"https://gomapman.nib.si/","citations":[],"identifier":632,"description":"GoMapMan is an open web-accessible resource for gene functional annotations in the plant sciences. It was developed to facilitate improvement, consolidation and visualization of gene annotations across several plant species.","abbreviation":"GMM","data_curation":{"type":"not found"},"support_links":[{"url":"kristina.gruden@nib.si","name":"Kristina Gruden","type":"Support email"},{"url":"https://gomapman.nib.si/help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GMM","name":"GMM","portal":"BioPortal"}],"data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["bsg-000798","bsg-s000798"],"name":"FAIRsharing record for: GoMapMan","abbreviation":"GMM","url":"https://fairsharing.org/10.25504/FAIRsharing.9ry4cz","doi":"10.25504/FAIRsharing.9ry4cz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GoMapMan is an open web-accessible resource for gene functional annotations in the plant sciences. It was developed to facilitate improvement, consolidation and visualization of gene annotations across several plant species.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16719}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Functional Genomics","Proteomics","Plant Genetics"],"domains":["Gene functional annotation","Metabolite","Micro RNA","Gene"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Germany","Slovenia"],"publications":[{"id":3749,"pubmed_id":null,"title":"GoMapMan: integration, consolidation and visualization of plant gene annotations within the MapMan ontology","year":2013,"url":"http://dx.doi.org/10.1093/nar/gkt1056","authors":"Ramšak, Živa; Baebler, Špela; Rotter, Ana; Korbar, Matej; Mozetič, Igor; Usadel, Björn; Gruden, Kristina; ","journal":"Nucl. Acids Res.","doi":"10.1093/nar/gkt1056","created_at":"2022-12-23T11:27:41.201Z","updated_at":"2022-12-23T11:27:41.201Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":3049,"relation":"applies_to_content"}],"grants":[{"id":10256,"fairsharing_record_id":632,"organisation_id":3844,"relation":"maintains","created_at":"2022-12-23T11:34:09.183Z","updated_at":"2022-12-23T11:34:09.183Z","grant_id":null,"is_lead":true,"saved_state":{"id":3844,"name":"Jožef Stefan Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10257,"fairsharing_record_id":632,"organisation_id":3807,"relation":"funds","created_at":"2022-12-23T11:34:09.197Z","updated_at":"2022-12-23T11:34:09.197Z","grant_id":1920,"is_lead":false,"saved_state":{"id":3807,"name":"Slovenian Research Agency","grant":"Grants J4-2228, P2-0103","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBandDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1bf14cccff2db5791e6ee8bf87c8dc06ea1f391a/GMM%20RGB.png?disposition=inline","exhaustive_licences":true}},{"id":"634","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T11:13:54.093Z","metadata":{"doi":"10.25504/FAIRsharing.mp0rwf","name":"Ontology of Biological Attributes","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":null}],"homepage":"https://github.com/obophenotype/bio-attribute-ontology","citations":[],"identifier":634,"description":"A collection of biological attributes / traits covering all kingdoms of life. It is interoperable with a number of other community ontologies.","abbreviation":"OBA","support_links":[{"url":"http://wiki.geneontology.org/index.php/Extensions/x-attribute","name":"How OBA is used in GO","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBA","name":"OBA","portal":"BioPortal"}]},"legacy_ids":["bsg-000795","bsg-s000795"],"name":"FAIRsharing record for: Ontology of Biological Attributes","abbreviation":"OBA","url":"https://fairsharing.org/10.25504/FAIRsharing.mp0rwf","doi":"10.25504/FAIRsharing.mp0rwf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A collection of biological attributes / traits covering all kingdoms of life. It is interoperable with a number of other community ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2531,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"635","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-03-15T07:57:06.571Z","metadata":{"doi":"10.25504/FAIRsharing.ngn3a6","name":"Genome Component Ontology","status":"ready","contacts":[{"contact_name":"Zuotian Tatum","contact_email":"z.tatum@lumc.nl"}],"homepage":"http://bioportal.bioontology.org/ontologies/GCO","citations":[],"identifier":635,"description":"The Genome Component Ontology is intended to define the abstract division of the total genetic information of an organism by its physical separation into different components, thereby providing a high level reference point to which more specific descriptions of the characteristics of these components can be linked.","abbreviation":"GCO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GCO","name":"GCO","portal":"BioPortal"}]},"legacy_ids":["bsg-001066","bsg-s001066"],"name":"FAIRsharing record for: Genome Component Ontology","abbreviation":"GCO","url":"https://fairsharing.org/10.25504/FAIRsharing.ngn3a6","doi":"10.25504/FAIRsharing.ngn3a6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome Component Ontology is intended to define the abstract division of the total genetic information of an organism by its physical separation into different components, thereby providing a high level reference point to which more specific descriptions of the characteristics of these components can be linked.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10418,"fairsharing_record_id":635,"organisation_id":1705,"relation":"undefined","created_at":"2023-03-15T07:56:59.512Z","updated_at":"2023-03-15T07:56:59.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"636","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-23T15:19:33.691Z","metadata":{"doi":"10.25504/FAIRsharing.tz3682","name":"Phallusia fumigata Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":636,"description":"The first ontology describing the anatomy and the development of Phallusia fumigata.","abbreviation":"PHFUMIADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHFUMIADO","name":"PHFUMIADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000804","bsg-s000804"],"name":"FAIRsharing record for: Phallusia fumigata Anatomy and Development Ontology","abbreviation":"PHFUMIADO","url":"https://fairsharing.org/10.25504/FAIRsharing.tz3682","doi":"10.25504/FAIRsharing.tz3682","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Phallusia fumigata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Phallusia fumigata"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10450,"fairsharing_record_id":636,"organisation_id":1974,"relation":"funds","created_at":"2023-03-23T15:18:02.444Z","updated_at":"2023-03-23T15:18:02.444Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"638","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2024-03-01T09:26:26.262Z","metadata":{"doi":"10.25504/FAIRsharing.dzxae","name":"Food Ontology","status":"ready","contacts":[{"contact_name":"Damion Dooley","contact_email":"damion.dooley@bccdc.ca","contact_orcid":"0000-0002-8844-9165"}],"homepage":"https://foodon.org/","citations":[{"doi":"10.1038/s41538-018-0032-6","pubmed_id":31304272,"publication_id":2680}],"identifier":638,"description":"The need to represent knowledge about food is central to many human activities including agriculture, medicine, food safety inspection, shopping patterns, and sustainable development. FoodOn is built to interoperate with the OBO Library and to represent entities which bear a food role. Initially the ontology will focus on the human-centric categorization and handling of food, but in the future it will also encompass materials in natural ecosystems and food webs. We aim to develop semantics for food safety, food security, the agricultural and animal husbandry practices linked to food production, culinary, nutritional and chemical ingredients and processes.","abbreviation":"FOODON","support_links":[{"url":"info@genepio.org","name":"Contact","type":"Support email"},{"url":"https://foodon.org/design/","name":"FoodOn Design","type":"Help documentation"},{"url":"https://groups.google.com/forum/#!forum/foodon-consortium/","name":"Google mailing list","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/ols/ontologies/foodon","name":"EBI Ontology Lookup Service: FoodOn","type":"Help documentation"},{"url":"http://www.ontobee.org/ontology/FOODON","name":"Ontobee Linked Data Server: FoodOn","type":"Help documentation"},{"url":"https://github.com/FoodOntology/foodon","name":"GitHub Repository","type":"Github"},{"url":"https://foodon.org/reuse/","name":"FoodOn Reuse","type":"Help documentation"},{"url":"https://foodon.org/curation-rules/","name":"Curation rules","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FOODON","name":"FOODON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/foodon.html","name":"foodon","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000831","bsg-s000831"],"name":"FAIRsharing record for: Food Ontology","abbreviation":"FOODON","url":"https://fairsharing.org/10.25504/FAIRsharing.dzxae","doi":"10.25504/FAIRsharing.dzxae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The need to represent knowledge about food is central to many human activities including agriculture, medicine, food safety inspection, shopping patterns, and sustainable development. FoodOn is built to interoperate with the OBO Library and to represent entities which bear a food role. Initially the ontology will focus on the human-centric categorization and handling of food, but in the future it will also encompass materials in natural ecosystems and food webs. We aim to develop semantics for food safety, food security, the agricultural and animal husbandry practices linked to food production, culinary, nutritional and chemical ingredients and processes.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17361},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14553}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Environmental Science","Medicine","Agriculture"],"domains":["Sustainability","Food","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Germany","Saudi Arabia","United States"],"publications":[{"id":2381,"pubmed_id":28694792,"title":"Context Is Everything: Harmonization of Critical Food Microbiology Descriptors and Metadata for Improved Food Safety and Surveillance.","year":2017,"url":"http://doi.org/10.3389/fmicb.2017.01068","authors":"Griffiths E,Dooley D,Graham M,Van Domselaar G,Brinkman FSL,Hsiao WWL","journal":"Front Microbiol","doi":"10.3389/fmicb.2017.01068","created_at":"2021-09-30T08:26:52.567Z","updated_at":"2021-09-30T08:26:52.567Z"},{"id":2680,"pubmed_id":31304272,"title":"FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration.","year":2019,"url":"http://doi.org/10.1038/s41538-018-0032-6","authors":"Dooley DM,Griffiths EJ,Gosal GS,Buttigieg PL,Hoehndorf R,Lange MC,Schriml LM,Brinkman FSL,Hsiao WWL","journal":"NPJ Sci Food","doi":"10.1038/s41538-018-0032-6","created_at":"2021-09-30T08:27:29.138Z","updated_at":"2021-09-30T08:27:29.138Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1839,"relation":"undefined"}],"grants":[{"id":5970,"fairsharing_record_id":638,"organisation_id":2135,"relation":"funds","created_at":"2021-09-30T09:27:44.483Z","updated_at":"2021-09-30T09:27:44.483Z","grant_id":null,"is_lead":false,"saved_state":{"id":2135,"name":"Networks of Centres of Excellence of Canada, Ottawa, ON, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5972,"fairsharing_record_id":638,"organisation_id":62,"relation":"funds","created_at":"2021-09-30T09:27:44.533Z","updated_at":"2021-09-30T09:27:44.533Z","grant_id":null,"is_lead":false,"saved_state":{"id":62,"name":"AllerGen NCE, Hamilton, ON, Canada","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5971,"fairsharing_record_id":638,"organisation_id":1110,"relation":"funds","created_at":"2021-09-30T09:27:44.509Z","updated_at":"2021-09-30T09:29:30.744Z","grant_id":278,"is_lead":false,"saved_state":{"id":1110,"name":"Genome Canada BCB 2015, Canada","grant":"#254EPI","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"660","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:31:33.000Z","updated_at":"2021-11-24T13:18:39.840Z","metadata":{"doi":"10.25504/FAIRsharing.6eg9a3","name":"Big Gene Prediction","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigGenePred.html","identifier":660,"description":"The bigGenePred format stores annotation items that are a linked collection of exons, much as BED files indexed as bigBeds do. However, the bigGenePred format includes 8 additional fields that contain details about coding frames and other gene-specific information.","abbreviation":"bigGenePred","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"bedToBigBed"}]},"legacy_ids":["bsg-000695","bsg-s000695"],"name":"FAIRsharing record for: Big Gene Prediction","abbreviation":"bigGenePred","url":"https://fairsharing.org/10.25504/FAIRsharing.6eg9a3","doi":"10.25504/FAIRsharing.6eg9a3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigGenePred format stores annotation items that are a linked collection of exons, much as BED files indexed as bigBeds do. However, the bigGenePred format includes 8 additional fields that contain details about coding frames and other gene-specific information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Gene prediction","Exon","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6005,"fairsharing_record_id":660,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:45.893Z","updated_at":"2021-09-30T09:27:45.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"661","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:17:04.000Z","updated_at":"2022-11-01T11:54:34.305Z","metadata":{"doi":"10.25504/FAIRsharing.Lcws1N","name":"FAIR Metrics - Indexed in a searchable resource","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F4","citations":[],"identifier":661,"description":"FM-F4 provides a measurement of the degree to which the digital resource can be found using web-based search engines. Most people use a search engine to initiate a search for a particular digital resource of interest. If the resource or its metadata are not indexed by web search engines, then this would substantially diminish an individual’s ability to find and reuse it. Thus, the ability to discover the resource should be tested using i) its identifier, ii) other text-based metadata. The persistent identifier of the resource and one or more URLs that give search results of different search engines must be provided. This metric applies to part F4 of the FAIR Principles.","abbreviation":"FM-F4","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001346","bsg-s001346"],"name":"FAIRsharing record for: FAIR Metrics - Indexed in a searchable resource","abbreviation":"FM-F4","url":"https://fairsharing.org/10.25504/FAIRsharing.Lcws1N","doi":"10.25504/FAIRsharing.Lcws1N","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-F4 provides a measurement of the degree to which the digital resource can be found using web-based search engines. Most people use a search engine to initiate a search for a particular digital resource of interest. If the resource or its metadata are not indexed by web search engines, then this would substantially diminish an individual’s ability to find and reuse it. Thus, the ability to discover the resource should be tested using i) its identifier, ii) other text-based metadata. The persistent identifier of the resource and one or more URLs that give search results of different search engines must be provided. This metric applies to part F4 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1413,"relation":"undefined"}],"grants":[{"id":6008,"fairsharing_record_id":661,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:45.967Z","updated_at":"2021-09-30T09:27:45.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6006,"fairsharing_record_id":661,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:45.917Z","updated_at":"2021-09-30T09:27:45.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6007,"fairsharing_record_id":661,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:45.944Z","updated_at":"2021-09-30T09:27:45.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6009,"fairsharing_record_id":661,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:45.993Z","updated_at":"2021-09-30T09:27:45.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"662","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T19:08:42.000Z","updated_at":"2023-10-02T07:44:17.625Z","metadata":{"doi":"10.25504/FAIRsharing.4c40ed","name":"General Ontology for Linguistic Description","status":"ready","contacts":[{"contact_name":"GOLD@CLARIN","contact_email":"gold@clarin.eu","contact_orcid":null}],"homepage":"http://www.linguistics-ontology.org/info/about","citations":[],"identifier":662,"description":"GOLD is an ontology for encoding linguistic data. It gives a formalized account of the most basic categories and relations used in the scientific description of human language. GOLD will facilitate automated reasoning over linguistic data and help establish the basic concepts through which intelligent search can be carried out. GOLD is meant to be compatible with the general goals of the Semantic Web.\n\nThe maintenance of GOLD is in the process of being transferred from the Linguist List to CLARIN-ERIC. Please bear with us while the new locations and repositories are established.","abbreviation":"GOLD","support_links":[{"url":"http://linguistics-ontology.org/info/about","name":"About GOLD","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"https://scholars.sil.org/gary_f_simons/workpaper/metaschema","name":"SIL"},{"url":"https://www.clarin.eu/content/clarin-concept-registry","name":"CLARIN Concept Registry"}]},"legacy_ids":["bsg-001241","bsg-s001241"],"name":"FAIRsharing record for: General Ontology for Linguistic Description","abbreviation":"GOLD","url":"https://fairsharing.org/10.25504/FAIRsharing.4c40ed","doi":"10.25504/FAIRsharing.4c40ed","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GOLD is an ontology for encoding linguistic data. It gives a formalized account of the most basic categories and relations used in the scientific description of human language. GOLD will facilitate automated reasoning over linguistic data and help establish the basic concepts through which intelligent search can be carried out. GOLD is meant to be compatible with the general goals of the Semantic Web.\n\nThe maintenance of GOLD is in the process of being transferred from the Linguist List to CLARIN-ERIC. Please bear with us while the new locations and repositories are established.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Natural language processing","Classification"],"taxonomies":["Not applicable"],"user_defined_tags":["Interoperability"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":152,"relation":"undefined"}],"grants":[{"id":10961,"fairsharing_record_id":662,"organisation_id":566,"relation":"maintains","created_at":"2023-09-28T12:57:09.524Z","updated_at":"2023-09-28T12:57:09.524Z","grant_id":null,"is_lead":true,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure, European Research Infrastructure Consortium, Utrecht University","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"663","type":"fairsharing_records","attributes":{"created_at":"2018-12-10T16:47:46.000Z","updated_at":"2021-11-24T13:17:40.600Z","metadata":{"name":"Resource Description Framework in Attributes","status":"ready","contacts":[{"contact_name":"Ivan Herman","contact_email":"ivan@w3.org","contact_orcid":"0000-0003-0782-2704"}],"homepage":"https://www.w3.org/TR/rdfa-primer/","identifier":663,"description":"RDFa is an extension to HTML5 that helps you markup things like People, Places, Events, Recipes and Reviews. Search Engines and Web Services use this markup to generate better search listings and give you better visibility on the Web, so that people can find your website more easily.","abbreviation":"RDFa","support_links":[{"url":"public-rdfa@w3.org","name":"Public discussion","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/RDFa_1.1._Errata","name":"RDFa 1.1. Errata","type":"Help documentation"},{"url":"https://lists.w3.org/Archives/Public/public-rdfa/","name":"Mail Archives","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001338","bsg-s001338"],"name":"FAIRsharing record for: Resource Description Framework in Attributes","abbreviation":"RDFa","url":"https://fairsharing.org/fairsharing_records/663","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDFa is an extension to HTML5 that helps you markup things like People, Places, Events, Recipes and Reviews. Search Engines and Web Services use this markup to generate better search listings and give you better visibility on the Web, so that people can find your website more easily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":[],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":662,"relation":"undefined"},{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":663,"relation":"undefined"}],"grants":[{"id":6012,"fairsharing_record_id":663,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:27:46.067Z","updated_at":"2021-09-30T09:27:46.067Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"664","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:39.915Z","metadata":{"doi":"10.25504/FAIRsharing.mg1mdc","name":"A Gold Path format","status":"ready","contacts":[{"contact_name":"NCBI Genbank","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/assembly/agp/AGP_Specification/","identifier":664,"description":"AGP format describes the assembly of a larger sequence object from smaller objects. The large object can be a contig, a scaffold (supercontig), or a chromosome. Each line (row) of the AGP file describes a different piece of the object, and has the column entries defined below. Extended comments follow. It does not serve for either a description of how sequence reads were assembled, or a description of the alignments between components used to construct a larger object. Not all of the information in proprietary assembly files can be represented in the AGP format. It is also not for recording the spans of features like repeats or genes.","abbreviation":"AGP format"},"legacy_ids":["bsg-000522","bsg-s000522"],"name":"FAIRsharing record for: A Gold Path format","abbreviation":"AGP format","url":"https://fairsharing.org/10.25504/FAIRsharing.mg1mdc","doi":"10.25504/FAIRsharing.mg1mdc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AGP format describes the assembly of a larger sequence object from smaller objects. The large object can be a contig, a scaffold (supercontig), or a chromosome. Each line (row) of the AGP file describes a different piece of the object, and has the column entries defined below. Extended comments follow. It does not serve for either a description of how sequence reads were assembled, or a description of the alignments between components used to construct a larger object. Not all of the information in proprietary assembly files can be represented in the AGP format. It is also not for recording the spans of features like repeats or genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Genomic assembly"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":513,"relation":"undefined"}],"grants":[{"id":6014,"fairsharing_record_id":664,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:46.117Z","updated_at":"2021-09-30T09:27:46.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6013,"fairsharing_record_id":664,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:46.093Z","updated_at":"2021-09-30T09:27:46.093Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"642","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T12:16:11.075Z","metadata":{"doi":"10.25504/FAIRsharing.gdszhh","name":"Banana Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"https://cropontology.org/term/CO_325:ROOT","citations":[],"identifier":642,"description":"The Banana Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_325","support_links":[{"url":"i.vandenbergh@cgiar.org","name":"Inge van den Bergh","type":"Support email"},{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001125","bsg-s001125"],"name":"FAIRsharing record for: Banana Ontology","abbreviation":"CO_325","url":"https://fairsharing.org/10.25504/FAIRsharing.gdszhh","doi":"10.25504/FAIRsharing.gdszhh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Musa"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1820,"relation":"undefined"}],"grants":[{"id":5980,"fairsharing_record_id":642,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:27:44.879Z","updated_at":"2021-09-30T09:27:44.879Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5978,"fairsharing_record_id":642,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:44.798Z","updated_at":"2021-09-30T09:27:44.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5979,"fairsharing_record_id":642,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:27:44.839Z","updated_at":"2021-09-30T09:27:44.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5981,"fairsharing_record_id":642,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:44.923Z","updated_at":"2021-09-30T09:27:44.923Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"643","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-18T08:52:06.519Z","metadata":{"doi":"10.25504/FAIRsharing.z0p37e","name":"Ontology for Modeling and Representation of Social Entities","status":"ready","contacts":[{"contact_name":"William Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":"0000-0002-9881-1017"}],"homepage":"https://github.com/mcwdsi/OMRSE","citations":[],"identifier":643,"description":"The Ontology for Modeling and Representation of Social Entities (OMRSE) is an OBO Foundry ontology that represents the various entities that arise from human social interactions, such as social acts, social roles, social groups, and organizations. For more information on the social entities represented in OMRSE, please visit our wiki page or list of publications. OMRSE is designed to be a mid-level ontology that bridges the gap between BFO, which it reuses for its top-level hierarchy, and more specific domain or application ontologies. For this reason, we are always open to working with ontology developers who want to build interoperability between their projects and OMRSE.","abbreviation":"OMRSE","support_links":[{"url":"https://github.com/mcwdsi/OMRSE/issues","name":"Issue tracker","type":"Github"},{"url":"http://groups.google.com/group/omrse-discuss","name":"Google Group","type":"Forum"},{"url":"https://github.com/mcwdsi/OMRSE/wiki/OMRSE-Overview","name":"Wiki Overview Page","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMRSE","name":"OMRSE","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/omrse.html","name":"omrse","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000097","bsg-s000097"],"name":"FAIRsharing record for: Ontology for Modeling and Representation of Social Entities","abbreviation":"OMRSE","url":"https://fairsharing.org/10.25504/FAIRsharing.z0p37e","doi":"10.25504/FAIRsharing.z0p37e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Modeling and Representation of Social Entities (OMRSE) is an OBO Foundry ontology that represents the various entities that arise from human social interactions, such as social acts, social roles, social groups, and organizations. For more information on the social entities represented in OMRSE, please visit our wiki page or list of publications. OMRSE is designed to be a mid-level ontology that bridges the gap between BFO, which it reuses for its top-level hierarchy, and more specific domain or application ontologies. For this reason, we are always open to working with ontology developers who want to build interoperability between their projects and OMRSE.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11976},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12424}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Social Science","Health Science","Biomedical Science"],"domains":["Patient care","Hospital"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1503,"pubmed_id":27406187,"title":"The ontology of medically related social entities: recent developments.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0087-8","authors":"Hicks A,Hanna J,Welch D,Brochhausen M,Hogan WR","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0087-8","created_at":"2021-09-30T08:25:08.268Z","updated_at":"2021-09-30T08:25:08.268Z"},{"id":4015,"pubmed_id":null,"title":"An Ontological Representation of Money with a View Toward Economic Determinants of Health","year":2022,"url":"https://icbo-conference.github.io/icbo2022/papers/ICBO-2022_paper_8682.pdf","authors":"Diller M, Hogan WR","journal":"Proceedings of the International Conference on Biomedical Ontology (ICBO) 2022","doi":"","created_at":"2023-10-16T14:44:35.822Z","updated_at":"2023-10-16T14:44:35.822Z"},{"id":4016,"pubmed_id":null,"title":"Using Ontologies to Enhance Data on Intimate Partner Violence","year":2022,"url":"https://icbo-conference.github.io/icbo2022/papers/ICBO-2022_paper_6874.pdf","authors":"Dowland SC, Hogan WR","journal":"Proceedings of the International Conference on Biomedical Ontology (ICBO) 2022","doi":"","created_at":"2023-10-16T14:45:28.633Z","updated_at":"2023-10-16T14:45:28.633Z"},{"id":4017,"pubmed_id":null,"title":"Representing the Reality Underlying Demographic Data","year":2011,"url":"https://ceur-ws.org/Vol-833/paper20.pdf","authors":"Hogan WR, Garimalla S, Tariq SA","journal":"Proceedings of the International Conference on Biomedical Ontology (ICBO) 2011","doi":"","created_at":"2023-10-16T14:47:11.939Z","updated_at":"2023-10-16T14:47:11.939Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2664,"relation":"applies_to_content"}],"grants":[{"id":5986,"fairsharing_record_id":643,"organisation_id":1041,"relation":"funds","created_at":"2021-09-30T09:27:45.291Z","updated_at":"2021-09-30T09:32:49.964Z","grant_id":1797,"is_lead":false,"saved_state":{"id":1041,"name":"Foundation for Biomedical Research, Washington, USA","grant":"Program 4KB16","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5984,"fairsharing_record_id":643,"organisation_id":3014,"relation":"funds","created_at":"2021-09-30T09:27:45.028Z","updated_at":"2021-09-30T09:30:43.645Z","grant_id":841,"is_lead":false,"saved_state":{"id":3014,"name":"University of Arkansas for Medical Sciences","grant":"UL1 TR000039","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8207,"fairsharing_record_id":643,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:31:31.837Z","updated_at":"2021-09-30T09:31:31.898Z","grant_id":1211,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences","grant":"UL1 TR000064","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8352,"fairsharing_record_id":643,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:32:14.110Z","updated_at":"2021-09-30T09:32:14.165Z","grant_id":1528,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences","grant":"UL1TR001427","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11007,"fairsharing_record_id":643,"organisation_id":1810,"relation":"maintains","created_at":"2023-10-16T14:48:19.146Z","updated_at":"2023-10-16T14:48:19.146Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5987,"fairsharing_record_id":643,"organisation_id":2242,"relation":"maintains","created_at":"2021-09-30T09:27:45.328Z","updated_at":"2021-09-30T09:27:45.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":2242,"name":"OMRSE administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5985,"fairsharing_record_id":643,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:45.238Z","updated_at":"2021-09-30T09:32:25.571Z","grant_id":1614,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"1R01GM111324","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11006,"fairsharing_record_id":643,"organisation_id":3055,"relation":"collaborates_on","created_at":"2023-10-16T14:48:19.146Z","updated_at":"2023-10-16T14:48:19.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":5982,"fairsharing_record_id":643,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:44.962Z","updated_at":"2021-09-30T09:30:43.628Z","grant_id":841,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences","grant":"UL1 TR000039","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"644","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2022-07-20T09:02:50.912Z","metadata":{"doi":"10.25504/FAIRsharing.e3t0yw","name":"Confidence Information Ontology","status":"ready","contacts":[{"contact_name":"Frederic Bastian","contact_email":"frederic.bastian@unil.ch"}],"homepage":"https://github.com/BgeeDB/confidence-information-ontology","citations":[],"identifier":644,"description":"The Confidence Information Ontology (CIO) is an ontology to capture confidence information about annotations. Please note that the last update to the ontology files were in 2015.","abbreviation":"CIO","support_links":[],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIO","name":"CIO","portal":"BioPortal"},{"url":"https://www.ebi.ac.uk/ols/ontologies/cio","name":"CIO in OLS","portal":"OLS"},{"url":"https://obofoundry.org/ontology/cio.html","name":"CIO in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000805","bsg-s000805"],"name":"FAIRsharing record for: Confidence Information Ontology","abbreviation":"CIO","url":"https://fairsharing.org/10.25504/FAIRsharing.e3t0yw","doi":"10.25504/FAIRsharing.e3t0yw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Confidence Information Ontology (CIO) is an ontology to capture confidence information about annotations. Please note that the last update to the ontology files were in 2015.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3476,"pubmed_id":null,"title":"The Confidence Information Ontology: a step towards a standard for asserting confidence in annotations","year":2015,"url":"http://dx.doi.org/10.1093/database/bav043","authors":"Bastian, F. B.; Chibucos, M. C.; Gaudet, P.; Giglio, M.; Holliday, G. L.; Huang, H.; Lewis, S. E.; Niknejad, A.; Orchard, S.; Poux, S.; Skunca, N.; Robinson-Rechavi, M.; ","journal":"Database","doi":"10.1093/database/bav043","created_at":"2022-07-15T14:06:21.709Z","updated_at":"2022-07-15T14:06:21.709Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2731,"relation":"applies_to_content"}],"grants":[{"id":9677,"fairsharing_record_id":644,"organisation_id":3597,"relation":"maintains","created_at":"2022-07-15T14:10:44.655Z","updated_at":"2022-07-15T14:10:44.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"646","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T18:36:55.000Z","updated_at":"2023-09-29T11:54:57.415Z","metadata":{"doi":"10.25504/FAIRsharing.7c7cc9","name":"Language resource management -- Feature structures -- Part 1: Feature structure representation","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37324.html","citations":[],"identifier":646,"description":"ISO 24610-1:2006 provides a format for the representation, storage and exchange of feature structures in natural language applications concerned with the annotation, production or analysis of linguistic data. It also defines a computer format for the description of constraints that bear on a set of features, feature values, feature specifications and operations on feature structures, thus offering a means of checking the conformance of each feature structure with regards to a reference specification.","abbreviation":"ISO 24610-1:2006","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37324.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2006},"legacy_ids":["bsg-001240","bsg-s001240"],"name":"FAIRsharing record for: Language resource management -- Feature structures -- Part 1: Feature structure representation","abbreviation":"ISO 24610-1:2006","url":"https://fairsharing.org/10.25504/FAIRsharing.7c7cc9","doi":"10.25504/FAIRsharing.7c7cc9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24610-1:2006 provides a format for the representation, storage and exchange of feature structures in natural language applications concerned with the annotation, production or analysis of linguistic data. It also defines a computer format for the description of constraints that bear on a set of features, feature values, feature specifications and operations on feature structures, thus offering a means of checking the conformance of each feature structure with regards to a reference specification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Computer Science","Linguistics"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":["Structured data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":13,"relation":"undefined"}],"grants":[{"id":10916,"fairsharing_record_id":646,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:07:21.017Z","updated_at":"2023-09-27T14:07:21.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":5988,"fairsharing_record_id":646,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:27:45.360Z","updated_at":"2021-09-30T09:27:45.360Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"647","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:22.482Z","metadata":{"doi":"10.25504/FAIRsharing.pf2qyq","name":"Ontology for Drug Discovery Investigations","status":"ready","contacts":[{"contact_name":"Larisa Soldatova","contact_email":"soldatova.larisa@gmail.com","contact_orcid":"0000-0001-6489-3029"}],"homepage":"https://code.google.com/p/ddi-ontology/","identifier":647,"description":"The goal of DDI project is to develop an ontology for the description of drug discovery investigations. The Pharmaceutical industry is an information based industry. The aim of DDI is to add value to the information generated in the drug pipeline by making the information easier to reuse, integrate, curate, retrieve, and reason with. DDI aims to follow to the Open Biomedical Ontologies Foundry (OBO) principles, to use relations laid down in the OBO Relation Ontology, and to be compliant with the Ontology for biomedical investigations (OBI).","abbreviation":"DDI","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDI","name":"DDI","portal":"BioPortal"}]},"legacy_ids":["bsg-002694","bsg-s002694"],"name":"FAIRsharing record for: Ontology for Drug Discovery Investigations","abbreviation":"DDI","url":"https://fairsharing.org/10.25504/FAIRsharing.pf2qyq","doi":"10.25504/FAIRsharing.pf2qyq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of DDI project is to develop an ontology for the description of drug discovery investigations. The Pharmaceutical industry is an information based industry. The aim of DDI is to add value to the information generated in the drug pipeline by making the information easier to reuse, integrate, curate, retrieve, and reason with. DDI aims to follow to the Open Biomedical Ontologies Foundry (OBO) principles, to use relations laid down in the OBO Relation Ontology, and to be compliant with the Ontology for biomedical investigations (OBI).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":5989,"fairsharing_record_id":647,"organisation_id":579,"relation":"maintains","created_at":"2021-09-30T09:27:45.384Z","updated_at":"2021-09-30T09:27:45.384Z","grant_id":null,"is_lead":false,"saved_state":{"id":579,"name":"Computational Biology Group, Aberystwyth University, Aberystwyth, Wales, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"665","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:32:03.292Z","metadata":{"doi":"10.25504/FAIRsharing.exz30t","name":"Core Information for Metabolomics Reporting","status":"ready","contacts":[{"contact_name":"Reza Salek","contact_email":"r7salek@gmail.com","contact_orcid":"0000-0001-8604-1732"}],"homepage":"https://github.com/MSI-Metabolomics-Standards-Initiative/CIMR/","identifier":665,"description":"This document specifies the minimal guidelines reporting metabolomics work. It does so in a textual form and seeks in the long term to cover all application areas and analysis technologies.","abbreviation":"CIMR","support_links":[{"url":"https://github.com/MSI-Metabolomics-Standards-Initiative/CIMR/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://twitter.com/MetabolomicsSoc","name":"@MetabolomicsSoc","type":"Twitter"}],"year_creation":2003},"legacy_ids":["bsg-000175","bsg-s000175"],"name":"FAIRsharing record for: Core Information for Metabolomics Reporting","abbreviation":"CIMR","url":"https://fairsharing.org/10.25504/FAIRsharing.exz30t","doi":"10.25504/FAIRsharing.exz30t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document specifies the minimal guidelines reporting metabolomics work. It does so in a textual form and seeks in the long term to cover all application areas and analysis technologies.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10912},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11026},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11152},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11575},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11712},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11967}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Metabolomics"],"domains":["Chemical entity","Metabolite","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United Kingdom"],"publications":[{"id":582,"pubmed_id":null,"title":"Minimum reporting standards for plant biology context information in metabolomic studies","year":2007,"url":"http://doi.org/10.1007/s11306-007-0068-0","authors":"Oliver Fiehn, Lloyd W. Sumner, Seung Y. Rhee, Jane Ward, Julie Dickerson, Bernd Markus Lange, Geoff Lane, Ute Roessner, Robert Last, Basil Nikolau","journal":"Metabolomics","doi":"10.1007/s11306-007-0068-0","created_at":"2021-09-30T08:23:23.729Z","updated_at":"2021-09-30T08:23:23.729Z"},{"id":2803,"pubmed_id":null,"title":"Standard reporting requirements for biological samples in metabolomics experiments: environmental context","year":2007,"url":"http://doi.org/10.1007/s11306-007-0067-1","authors":"Norman Morrison, Dan Bearden, Jacob G. Bundy, Tim Collette, Felicity Currie, Matthew P. Davey, Nathan S. Haigh, David Hancock, Oliver A. H. Jones, Simone Rochfort, Susanna-Assunta Sansone, Dalibor Štys, Quincy Teng, Dawn Field, Mark R. Viant","journal":"Metabolomics","doi":"10.1007/s11306-007-0067-1","created_at":"2021-09-30T08:27:44.737Z","updated_at":"2021-09-30T08:27:44.737Z"}],"licence_links":[],"grants":[{"id":6015,"fairsharing_record_id":665,"organisation_id":1822,"relation":"maintains","created_at":"2021-09-30T09:27:46.144Z","updated_at":"2021-09-30T09:27:46.144Z","grant_id":null,"is_lead":false,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6016,"fairsharing_record_id":665,"organisation_id":917,"relation":"maintains","created_at":"2021-09-30T09:27:46.167Z","updated_at":"2021-09-30T09:27:46.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"666","type":"fairsharing_records","attributes":{"created_at":"2017-03-28T17:33:48.000Z","updated_at":"2021-11-24T13:18:40.098Z","metadata":{"doi":"10.25504/FAIRsharing.wzp79x","name":"Big Chain","status":"ready","contacts":[{"contact_name":"UCSC Staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigChain.html","identifier":666,"description":"The bigChain format describes a pairwise alignment that allow gaps in both sequences simultaneously, just as chain files do; however, bigChain files are compressed and indexed as bigBeds. Chain files are converted to bigChain files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigChain.","abbreviation":"bigChain","associated_tools":[{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"hgLoadChain"},{"url":"http://hgdownload.soe.ucsc.edu/admin/exe/","name":"hgLoadChain"}]},"legacy_ids":["bsg-000696","bsg-s000696"],"name":"FAIRsharing record for: Big Chain","abbreviation":"bigChain","url":"https://fairsharing.org/10.25504/FAIRsharing.wzp79x","doi":"10.25504/FAIRsharing.wzp79x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigChain format describes a pairwise alignment that allow gaps in both sequences simultaneously, just as chain files do; however, bigChain files are compressed and indexed as bigBeds. Chain files are converted to bigChain files using the program bedToBigBed, run with the -as option to pull in a special autoSql (.as) file that defines the fields of the bigChain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Sequence alignment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6017,"fairsharing_record_id":666,"organisation_id":2887,"relation":"maintains","created_at":"2021-09-30T09:27:46.193Z","updated_at":"2021-09-30T09:27:46.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"667","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2024-01-24T06:39:53.610Z","metadata":{"doi":"10.25504/FAIRsharing.b2979t","name":"Monarch Disease Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/monarch-initiative/mondo-build","citations":[],"identifier":667,"description":"MonDO (Monarch Disease Ontology) is a semi-automatically constructed ontology that merges in multiple disease resources to yield a coherent merged ontology.","abbreviation":"MONDO","support_links":[{"url":"https://twitter.com/MonarchInit","name":"@MonarchInit","type":"Twitter"},{"url":"https://monarchinitiative.org/","name":"The Monarch Initiative","type":"Other"},{"url":"https://github.com/monarch-initiative/mondo","name":"MONDO on GitHub","type":"Github"},{"url":"https://mondo.readthedocs.io/en/latest/","name":"About MONDO","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/INCATools/ontology-starter-kit","name":"Ontology Starter Kit"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MONDO","name":"MONDO","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/mondo","name":"Mondo Disease Ontology","portal":"OBO Foundry"},{"url":"https://bioregistry.io/registry/mondo","name":"mondo","portal":"Other"},{"url":"http://www.ebi.ac.uk/ols/ontologies/mondo","name":"MONDO","portal":"OLS"}]},"legacy_ids":["bsg-001086","bsg-s001086"],"name":"FAIRsharing record for: Monarch Disease Ontology","abbreviation":"MONDO","url":"https://fairsharing.org/10.25504/FAIRsharing.b2979t","doi":"10.25504/FAIRsharing.b2979t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MonDO (Monarch Disease Ontology) is a semi-automatically constructed ontology that merges in multiple disease resources to yield a coherent merged ontology.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13199},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13234},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13278},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16953}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Infectious Disease Medicine"],"domains":["Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3972,"pubmed_id":null,"title":"Mondo: Unifying diseases for the world, by the world","year":2022,"url":"http://dx.doi.org/10.1101/2022.04.13.22273750","authors":"Vasilevsky, Nicole A; Matentzoglu, Nicolas A; Toro, Sabrina; Flack, Joseph E; Hegde, Harshad; Unni, Deepak R; Alyea, Gioconda F; Amberger, Joanna S; Babb, Larry; Balhoff, James P; Bingaman, Taylor I; Burns, Gully A; Buske, Orion J; Callahan, Tiffany J; Carmody, Leigh C; Cordo, Paula Carrio; Chan, Lauren E; Chang, George S; Christiaens, Sean L; Dumontier, Michel; Failla, Laura E; Flowers, May J; Garrett, H. Alpha; Goldstein, Jennifer L; Gration, Dylan; Groza, Tudor; Hanauer, Marc; Harris, Nomi L; Hilton, Jason A; Himmelstein, Daniel S; Hoyt, Charles Tapley; Kane, Megan S; Köhler, Sebastian; Lagorce, David; Lai, Abbe; Larralde, Martin; Lock, Antonia; López Santiago, Irene; Maglott, Donna R; Malheiro, Adriana J; Meldal, Birgit H M; Munoz-Torres, Monica C; Nelson, Tristan H; Nicholas, Frank W; Ochoa, David; Olson, Daniel P; Oprea, Tudor I; Osumi-Sutherland, David; Parkinson, Helen; Pendlington, Zoë May; Rath, Ana; Rehm, Heidi L; Remennik, Lyubov; Riggs, Erin R; Roncaglia, Paola; Ross, Justyne E; Shadbolt, Marion F; Shefchek, Kent A; Similuk, Morgan N; Sioutos, Nicholas; Smedley, Damian; Sparks, Rachel; Stefancsik, Ray; Stephan, Ralf; Storm, Andrea L; Stupp, Doron; Stupp, Gregory S; Sundaramurthi, Jagadish Chandrabose; Tammen, Imke; Tay, Darin; Thaxton, Courtney L; Valasek, Eloise; Valls-Margarit, Jordi; Wagner, Alex H; Welter, Danielle; Whetzel, Patricia L; Whiteman, Lori L; Wood, Valerie; Xu, Colleen H; Zankl, Andreas; Zhang, Xingmin Aaron; Chute, Christopher G; Robinson, Peter N; Mungall, Christopher J; Hamosh, Ada; Haendel, Melissa A; ","journal":"medRxiv","doi":"10.1101/2022.04.13.22273750","created_at":"2023-08-06T23:13:25.756Z","updated_at":"2023-08-06T23:13:25.756Z"},{"id":3973,"pubmed_id":27899636,"title":"The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species","year":2016,"url":"http://dx.doi.org/10.1093/nar/gkw1128","authors":"Mungall, Christopher J.; McMurry, Julie A.; Köhler, Sebastian; Balhoff, James P.; Borromeo, Charles; Brush, Matthew; Carbon, Seth; Conlin, Tom; Dunn, Nathan; Engelstad, Mark; Foster, Erin; Gourdine, J.P.; Jacobsen, Julius O.B.; Keith, Dan; Laraway, Bryan; Lewis, Suzanna E.; NguyenXuan, Jeremy; Shefchek, Kent; Vasilevsky, Nicole; Yuan, Zhou; Washington, Nicole; Hochheiser, Harry; Groza, Tudor; Smedley, Damian; Robinson, Peter N.; Haendel, Melissa A.; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1128","created_at":"2023-08-06T23:18:18.027Z","updated_at":"2023-08-06T23:18:18.027Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3310,"relation":"applies_to_content"}],"grants":[{"id":10818,"fairsharing_record_id":667,"organisation_id":2804,"relation":"associated_with","created_at":"2023-08-06T23:19:48.743Z","updated_at":"2023-08-06T23:19:48.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGtDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--898bdc43b92d38a40469367c9d28eae876b63f8b/mondo_logo_black-stacked.png?disposition=inline","exhaustive_licences":false}},{"id":"668","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-05-10T11:39:05.220Z","metadata":{"doi":"10.25504/FAIRsharing.p58bm4","name":"Cephalopod Ontology","status":"deprecated","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/cephalopod-ontology","citations":[],"identifier":668,"description":"An anatomical and developmental ontology for cephalopods","abbreviation":"CEPH","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CEPH","name":"CEPH","portal":"BioPortal"},{"url":"http://obofoundry.org/ontology/ceph.html","name":"OBO Foundry page","portal":"OBO Foundry"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology is inactive according to the OBO Foundry definitions of status (http://obofoundry.org/docs/OntologyStatus.html). This means that the ontology project has a contact person who is responsive. A version of the ontology is available, but no edits are being made and requests for edits are either greatly delayed or not being addressed by the ontology’s editors. As such, we have deprecated this record."},"legacy_ids":["bsg-001087","bsg-s001087"],"name":"FAIRsharing record for: Cephalopod Ontology","abbreviation":"CEPH","url":"https://fairsharing.org/10.25504/FAIRsharing.p58bm4","doi":"10.25504/FAIRsharing.p58bm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An anatomical and developmental ontology for cephalopods","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fisheries Science","Anatomy","Zoology"],"domains":["Life cycle"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"639","type":"fairsharing_records","attributes":{"created_at":"2015-07-20T12:20:19.000Z","updated_at":"2021-11-24T13:13:52.621Z","metadata":{"doi":"10.25504/FAIRsharing.neny94","name":"Consolidated Health Economic Evaluation Reporting Standards","status":"ready","contacts":[{"contact_name":"Don Husereau","contact_email":"donh@donhusereau.com"}],"homepage":"http://www.ispor.org/TaskForces/EconomicPubGuidelines.asp","identifier":639,"description":"The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement is an attempt to consolidate and update previous health economic evaluation guidelines efforts into one current, useful reporting guidance. The primary audiences for the CHEERS statement are researchers reporting economic evaluations and the editors and peer reviewers assessing them for publication.","abbreviation":"CHEERS","support_links":[{"url":"https://www.ispor.org/workpaper/CHEERS/revised-CHEERS-Checklist-Oct13.pdf","name":"Checklist","type":"Help documentation"},{"url":"https://www.ispor.org/education/Webinars/CHEERS-062014.aspx","name":"Webinar","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000602","bsg-s000602"],"name":"FAIRsharing record for: Consolidated Health Economic Evaluation Reporting Standards","abbreviation":"CHEERS","url":"https://fairsharing.org/10.25504/FAIRsharing.neny94","doi":"10.25504/FAIRsharing.neny94","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement is an attempt to consolidate and update previous health economic evaluation guidelines efforts into one current, useful reporting guidance. The primary audiences for the CHEERS statement are researchers reporting economic evaluations and the editors and peer reviewers assessing them for publication.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12056}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Argentina","Austria","Canada","New Zealand","United Kingdom","United States"],"publications":[{"id":165,"pubmed_id":23531108,"title":"Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.","year":2013,"url":"http://doi.org/10.1186/1741-7015-11-80","authors":"Husereau D,Drummond M,Petrou S,Carswell C,Moher D,Greenberg D,Augustovski F,Briggs AH,Mauskopf J,Loder E","journal":"BMC Med","doi":"10.1186/1741-7015-11-80","created_at":"2021-09-30T08:22:38.172Z","updated_at":"2021-09-30T08:22:38.172Z"},{"id":208,"pubmed_id":23538200,"title":"Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.","year":2013,"url":"http://doi.org/10.1016/j.jval.2013.02.010","authors":"Husereau D,Drummond M,Petrou S,Carswell C,Moher D,Greenberg D,Augustovski F,Briggs AH,Mauskopf J,Loder E","journal":"Value Health","doi":"10.1016/j.jval.2013.02.010","created_at":"2021-09-30T08:22:42.639Z","updated_at":"2021-09-30T08:22:42.639Z"}],"licence_links":[{"licence_name":"ISPOR Privacy Policy","licence_id":458,"licence_url":"https://www.ispor.org/PrivacyPolicy.aspx","link_id":16,"relation":"undefined"}],"grants":[{"id":5973,"fairsharing_record_id":639,"organisation_id":1520,"relation":"maintains","created_at":"2021-09-30T09:27:44.606Z","updated_at":"2021-09-30T09:27:44.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":1520,"name":"International Society for Pharmacoeconomics and Outcomes Research (ISPOR), Lawrenceville, NJ, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"640","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:52.690Z","metadata":{"doi":"10.25504/FAIRsharing.pkt5s4","name":"Smoking Behavior Risk Ontology","status":"deprecated","contacts":[{"contact_name":"Paul Thomas","contact_email":"paul.thomas@sri.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/SBRO","identifier":640,"description":"\"Smoking Behavior Risk Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1249. This text was generated automatically. If you work on the project responsible for \"Smoking Behavior Risk Ontology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"SBRO","year_creation":2009,"deprecation_date":"2016-05-06","deprecation_reason":"This resource has been listed as deprecated as it has been removed from BioPortal and no further information on this standard can be found."},"legacy_ids":["bsg-002621","bsg-s002621"],"name":"FAIRsharing record for: Smoking Behavior Risk Ontology","abbreviation":"SBRO","url":"https://fairsharing.org/10.25504/FAIRsharing.pkt5s4","doi":"10.25504/FAIRsharing.pkt5s4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Smoking Behavior Risk Ontology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1249. This text was generated automatically. If you work on the project responsible for \"Smoking Behavior Risk Ontology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Pharmacogenomics","Biomedical Science"],"domains":["Behavior","Phenotype","Exposure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":965,"pubmed_id":19525886,"title":"A systems biology network model for genetic association studies of nicotine addiction and treatment.","year":2009,"url":"http://doi.org/10.1097/FPC.0b013e32832e2ced","authors":"Thomas PD,Mi H,Swan GE,Lerman C,Benowitz N,Tyndale RF,Bergen AW,Conti DV","journal":"Pharmacogenet Genomics","doi":"10.1097/FPC.0b013e32832e2ced","created_at":"2021-09-30T08:24:06.792Z","updated_at":"2021-09-30T08:24:06.792Z"}],"licence_links":[],"grants":[{"id":5974,"fairsharing_record_id":640,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:27:44.644Z","updated_at":"2021-09-30T09:27:44.644Z","grant_id":null,"is_lead":false,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5975,"fairsharing_record_id":640,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:44.677Z","updated_at":"2021-09-30T09:27:44.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"641","type":"fairsharing_records","attributes":{"created_at":"2015-02-25T20:55:18.000Z","updated_at":"2023-10-18T08:48:11.636Z","metadata":{"doi":"10.25504/FAIRsharing.w5ntfd","name":"The Drug Ontology","status":"ready","contacts":[{"contact_name":"William Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":"0000-0002-9881-1017"}],"homepage":"https://github.com/mcwdsi/dron","citations":[],"identifier":641,"description":"An ontology of drug products and packaged drug products.","abbreviation":"DrOn","support_links":[{"url":"https://github.com/mcwdsi/dron/issues","name":"Issue tracker","type":"Contact form"}],"year_creation":2013,"associated_tools":[{"url":"https://github.com/mcwdsi/dron-query","name":"DrOn Query"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DRON","name":"DRON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/dron.html","name":"dron","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000584","bsg-s000584"],"name":"FAIRsharing record for: The Drug Ontology","abbreviation":"DrOn","url":"https://fairsharing.org/10.25504/FAIRsharing.w5ntfd","doi":"10.25504/FAIRsharing.w5ntfd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of drug products and packaged drug products.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12040}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Small molecule","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":983,"pubmed_id":27096073,"title":"An accurate and precise representation of drug ingredients","year":2016,"url":"http://doi.org/10.1186/s13326-016-0048-2","authors":"Hanna J, Bian J, Hogan WR","journal":"Journal of Biomedical Semantics","doi":"10.1186/s13326-016-0048-2","created_at":"2021-09-30T08:24:08.755Z","updated_at":"2021-09-30T08:24:08.755Z"},{"id":998,"pubmed_id":28253937,"title":"Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request","year":2017,"url":"http://doi.org/10.1186/s13326-017-0121-5","authors":"Hogan WR, Hanna J, Hicks A, Amirova S, Bramblett B, Diller M, Enderez R, Modzelewski T, Vasconcelos M, Delcher C","journal":"Journal of Biomedical Semantics","doi":"10.1186/s13326-017-0121-5","created_at":"2021-09-30T08:24:10.463Z","updated_at":"2021-09-30T08:24:10.463Z"},{"id":1394,"pubmed_id":24345026,"title":"Building a drug ontology based on RxNorm and other sources.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-44","authors":"Hanna J,Joseph E,Brochhausen M,Hogan WR","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-44","created_at":"2021-09-30T08:24:55.860Z","updated_at":"2021-09-30T08:24:55.860Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3366,"relation":"applies_to_content"}],"grants":[{"id":5976,"fairsharing_record_id":641,"organisation_id":3054,"relation":"funds","created_at":"2021-09-30T09:27:44.714Z","updated_at":"2021-09-30T09:31:27.730Z","grant_id":1179,"is_lead":false,"saved_state":{"id":3054,"name":"Genetics Institute, University of Florida","grant":"UL1TR00142","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11008,"fairsharing_record_id":641,"organisation_id":1810,"relation":"maintains","created_at":"2023-10-16T14:59:41.200Z","updated_at":"2023-10-16T14:59:41.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11009,"fairsharing_record_id":641,"organisation_id":3055,"relation":"collaborates_on","created_at":"2023-10-16T14:59:41.209Z","updated_at":"2023-10-16T14:59:41.209Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"648","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:13:18.539Z","metadata":{"doi":"10.25504/FAIRsharing.ds6s93","name":"Performed Music Ontology","status":"ready","contacts":[{"contact_name":"Nancy Lorimer","contact_email":"nlorimer@stanford.edu"}],"homepage":"https://github.com/LD4P/PerformedMusicOntology","identifier":648,"description":"An extension to the Library of Congress BIBFRAME ontology for performed music, with a particular emphasis on clarifying and expanding on the modelling of works, events, and their contributors. It describes performed music, both for mainstream and archival performed music collections.","abbreviation":"PMO","support_links":[{"url":"https://wiki.duraspace.org/display/LD4P/Performed+Music+Ontology","name":"PMO Documentation on Duraspace","type":"Help documentation"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PMO","name":"PMO","portal":"BioPortal"}]},"legacy_ids":["bsg-000950","bsg-s000950"],"name":"FAIRsharing record for: Performed Music Ontology","abbreviation":"PMO","url":"https://fairsharing.org/10.25504/FAIRsharing.ds6s93","doi":"10.25504/FAIRsharing.ds6s93","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An extension to the Library of Congress BIBFRAME ontology for performed music, with a particular emphasis on clarifying and expanding on the modelling of works, events, and their contributors. It describes performed music, both for mainstream and archival performed music collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Musicology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5990,"fairsharing_record_id":648,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:27:45.409Z","updated_at":"2021-09-30T09:27:45.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"651","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-30T07:55:13.577Z","metadata":{"doi":"10.25504/FAIRsharing.b9znd5","name":"Informed Consent Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/ICO-ontology/ICO","citations":[],"identifier":651,"description":"Informed Consent Ontology (ICO) represents the documentations and processes involved in informed consent. ICO aims to support informed consent data integration and reasoning in the clinical research space. The core terms of ICO covers informed consent forms, the component inside the informed consent form, and various informed consent processes.","abbreviation":"ICO","support_links":[{"url":"https://groups.google.com/forum/#!forum/ico-discuss","name":"ICO Forum","type":"Forum"},{"url":"https://github.com/ICO-ontology/ICO/issues","name":"ICO Issue Tracker","type":"Github"},{"url":"http://ceur-ws.org/Vol-1327/icbo2014_paper_54.pdf","name":"ICO Conference Paper","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICO","name":"ICO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ico.html","name":"ico","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002837","bsg-s002837"],"name":"FAIRsharing record for: Informed Consent Ontology","abbreviation":"ICO","url":"https://fairsharing.org/10.25504/FAIRsharing.b9znd5","doi":"10.25504/FAIRsharing.b9znd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Informed Consent Ontology (ICO) represents the documentations and processes involved in informed consent. ICO aims to support informed consent data integration and reasoning in the clinical research space. The core terms of ICO covers informed consent forms, the component inside the informed consent form, and various informed consent processes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2290,"pubmed_id":null,"title":"Development of a BFO-based Informed Consent Ontology (ICO)","year":2013,"url":"https://www.researchgate.net/publication/289387776_Development_of_a_BFO-based_informed_consent_ontology_ICO","authors":"Lin Y, Harris MR, Manion FJ, Eisenhauer E, Zhao B, Shi W, Karnovsky A, He Y","journal":"In: The 5th International Conference on Biomedical Ontologies (ICBO): 2014; Houston, Texas, USA, October 8-9, 2014. CEUR Workshop Proceedings, Page 84-86","doi":null,"created_at":"2021-09-30T08:26:39.310Z","updated_at":"2021-09-30T11:28:34.730Z"}],"licence_links":[],"grants":[{"id":5992,"fairsharing_record_id":651,"organisation_id":1806,"relation":"funds","created_at":"2021-09-30T09:27:45.469Z","updated_at":"2021-09-30T09:27:45.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":1806,"name":"MCubed, University of Michigan, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":5993,"fairsharing_record_id":651,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:45.507Z","updated_at":"2021-09-30T09:27:45.507Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5991,"fairsharing_record_id":651,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:45.437Z","updated_at":"2021-09-30T09:29:57.221Z","grant_id":484,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"2UL1TR000433-06","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"652","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:12:26.000Z","updated_at":"2022-07-20T12:48:28.347Z","metadata":{"doi":"10.25504/FAIRsharing.35e1c3","name":"Oat Trait Ontology","status":"ready","contacts":[{"contact_name":"Jean-Luc Jannink","contact_email":"jeanluc.work@gmail.com","contact_orcid":"0000-0003-4849-628X"},{"contact_name":"CO General Contact","contact_email":"helpdesk@cropontology-curationtool.org","contact_orcid":null}],"homepage":"https://cropontology.org/term/CO_350:ROOT","citations":[],"identifier":652,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Oat Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. The Oat Trait Dictionary was commissioned by Oat Global (http://oatglobal.org/) to hold the traits used in the T3/Oat database (http://triticeaetoolbox.org/oat/).","abbreviation":"CO_350","support_links":[{"url":"crs298@cornell.edu","name":"Clare Saied","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001131","bsg-s001131"],"name":"FAIRsharing record for: Oat Trait Ontology","abbreviation":"CO_350","url":"https://fairsharing.org/10.25504/FAIRsharing.35e1c3","doi":"10.25504/FAIRsharing.35e1c3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Oat Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. The Oat Trait Dictionary was commissioned by Oat Global (http://oatglobal.org/) to hold the traits used in the T3/Oat database (http://triticeaetoolbox.org/oat/).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Avena sativa"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1058,"relation":"undefined"}],"grants":[{"id":5994,"fairsharing_record_id":652,"organisation_id":2205,"relation":"funds","created_at":"2021-09-30T09:27:45.549Z","updated_at":"2021-09-30T09:27:45.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":2205,"name":"Oat Global, St Paul, MN, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"766","type":"fairsharing_records","attributes":{"created_at":"2019-04-08T13:41:26.000Z","updated_at":"2023-05-05T07:47:50.854Z","metadata":{"doi":"10.25504/FAIRsharing.FGJ2T8","name":"Gene Ontology (GO) Gene Association File Format 2.1","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium Helpdesk","contact_email":"help@geneontology.org","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://geneontology.org/docs/go-annotation-file-gaf-format-2.1/","citations":[],"identifier":766,"description":"Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.1 (GAF 2.1). The annotation flat file format is comprised of 17 tab-delimited fields. This format is preferred over the GAF 2.0 format.","abbreviation":"GAF 2.1","support_links":[{"url":"https://github.com/geneontology/helpdesk/issues","name":"GO GitHub Issue Tracker","type":"Github"},{"url":"help@geneontology.org","name":"GO Helpdesk","type":"Support email"},{"url":"http://geneontology.org/docs/go-annotations/","name":"Introduction to GO annotations","type":"Help documentation"}],"year_creation":2015,"associated_tools":[{"url":"http://noctua.berkeleybop.org/","name":"NOCTUA Curation Platform"},{"url":"http://geneontology.org/go-cam","name":"GO Causal Activity Models (CAMs) viewer"}]},"legacy_ids":["bsg-001362","bsg-s001362"],"name":"FAIRsharing record for: Gene Ontology (GO) Gene Association File Format 2.1","abbreviation":"GAF 2.1","url":"https://fairsharing.org/10.25504/FAIRsharing.FGJ2T8","doi":"10.25504/FAIRsharing.FGJ2T8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.1 (GAF 2.1). The annotation flat file format is comprised of 17 tab-delimited fields. This format is preferred over the GAF 2.0 format.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12541}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Animal Genetics","Genetics","Human Genetics","Life Science","Molecular Genetics","Plant Genetics"],"domains":["Expression data","Gene Ontology enrichment","Gene functional annotation","Function analysis","Molecular function","Cellular component","Gene expression","Animal organ development","Functional association","Gene feature","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":306,"relation":"undefined"}],"grants":[{"id":6163,"fairsharing_record_id":766,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:27:50.803Z","updated_at":"2021-09-30T09:27:50.803Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"767","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-12-27T17:17:04.864Z","metadata":{"doi":"10.25504/FAIRsharing.tcbwad","name":"HIV ontology","status":"ready","contacts":[{"contact_name":"Martin Schiller","contact_email":"martin.schiller@unlv.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/HIV","citations":[],"identifier":767,"description":"The HIV ontology encompasses all knowledge about HIV","abbreviation":"HIV","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HIV","name":"HIV","portal":"BioPortal"}]},"legacy_ids":["bsg-000789","bsg-s000789"],"name":"FAIRsharing record for: HIV ontology","abbreviation":"HIV","url":"https://fairsharing.org/10.25504/FAIRsharing.tcbwad","doi":"10.25504/FAIRsharing.tcbwad","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HIV ontology encompasses all knowledge about HIV","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Proteomics","Medical Virology","Epidemiology"],"domains":["Protein interaction","Mutation"],"taxonomies":["Human immunodeficiency virus"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"768","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-01-02T17:29:48.661Z","metadata":{"doi":"10.25504/FAIRsharing.xfje21","name":"Metagenome Sample Vocabulary","status":"deprecated","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"http://mdb.bio.titech.ac.jp/msv","citations":[],"identifier":768,"description":"An ontology for metagenome sample metadata. This ontology mainly defines predicates.","abbreviation":"MSV","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSV","name":"MSV","portal":"BioPortal"}],"deprecation_date":"2023-01-02","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000892","bsg-s000892"],"name":"FAIRsharing record for: Metagenome Sample Vocabulary","abbreviation":"MSV","url":"https://fairsharing.org/10.25504/FAIRsharing.xfje21","doi":"10.25504/FAIRsharing.xfje21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for metagenome sample metadata. This ontology mainly defines predicates.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Metagenomics"],"domains":["Metagenome"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"769","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-03-24T14:37:06.213Z","metadata":{"doi":"10.25504/FAIRsharing.mb5dc","name":"Halocynthia aurantium Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":769,"description":"The first ontology describing the anatomy and the development of Halocynthia aurantium.","abbreviation":"HAAURAADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HAAURAADO","name":"HAAURAADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000894","bsg-s000894"],"name":"FAIRsharing record for: Halocynthia aurantium Anatomy and Development Ontology","abbreviation":"HAAURAADO","url":"https://fairsharing.org/10.25504/FAIRsharing.mb5dc","doi":"10.25504/FAIRsharing.mb5dc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Halocynthia aurantium.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Halocynthia aurantium"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10458,"fairsharing_record_id":769,"organisation_id":1974,"relation":"funds","created_at":"2023-03-24T14:36:08.141Z","updated_at":"2023-03-24T14:36:08.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"770","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:37:10.000Z","updated_at":"2022-12-14T08:21:35.275Z","metadata":{"doi":"10.25504/FAIRsharing.KTpITA","name":"Simple Cone Search","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/ConeSearch.html","citations":[{"publication_id":2935}],"identifier":770,"description":"The Simple Cone Search specification defines a simple query protocol for retrieving records from a catalog of astronomical sources. The query describes sky position and an angular distance, defining a cone on the sky. The response returns a list of astronomical sources from the catalog whose positions lie within the cone, formatted as a VOTable. This version of the specification is essentially a transcription of the original Cone Search specification in order to move it into the IVOA standardization process.","abbreviation":null,"support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/ConeSearch","name":"Simple Cone Search Wiki","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SCS-1_03-Errata","name":"Simple Cone Search Specification - Errata","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001153","bsg-s001153"],"name":"FAIRsharing record for: Simple Cone Search","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.KTpITA","doi":"10.25504/FAIRsharing.KTpITA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Cone Search specification defines a simple query protocol for retrieving records from a catalog of astronomical sources. The query describes sky position and an angular distance, defining a cone on the sky. The response returns a list of astronomical sources from the catalog whose positions lie within the cone, formatted as a VOTable. This version of the specification is essentially a transcription of the original Cone Search specification in order to move it into the IVOA standardization process.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11459}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2935,"pubmed_id":null,"title":"Simple Cone Search Version 1.03","year":2008,"url":"http://dx.doi.org/10.5479/ADS/bib/2008ivoa.specQ0222P","authors":"Plante, Raymond; Williams, Roy; Hanisch, Robert; Szalay, Alex","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.758Z","updated_at":"2021-09-30T08:28:01.758Z"}],"licence_links":[],"grants":[{"id":6164,"fairsharing_record_id":770,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:50.844Z","updated_at":"2021-09-30T09:27:50.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6165,"fairsharing_record_id":770,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:27:50.931Z","updated_at":"2021-09-30T09:27:50.931Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"771","type":"fairsharing_records","attributes":{"created_at":"2020-11-15T15:18:26.000Z","updated_at":"2022-07-20T09:31:56.969Z","metadata":{"doi":"10.25504/FAIRsharing.3bbe9d","name":"Open Geospatial Consortium Sensor Model Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/sensorml","identifier":771,"description":"The Sensor Model Language (SensorML) aims to provide a robust and semantically-tied means of defining processes and processing components associated with the measurement and post-measurement transformation of observations. This includes sensors and actuators as well as computational processes applied pre- and post- measurement. The main objective is to enable interoperability, first at the syntactic level and later at the semantic level (by using ontologies and semantic mediation), so that sensors and processes can be better understood by machines, utilized automatically in complex workflows, and easily shared between intelligent sensor web nodes. This standard is one of several implementation standards produced under OGC’s Sensor Web Enablement (SWE) activity.","abbreviation":"OGC SensorML","support_links":[{"url":"http://ogc.standardstracker.org/","name":"Issue / Change Tracker","type":"Forum"},{"url":"http://docs.ogc.org/is/12-000r2/12-000r2.html","name":"SensorML Specification Document","type":"Help documentation"},{"url":"https://twitter.com/opengeospatial","name":"@opengeospatial","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/SensorML","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2010},"legacy_ids":["bsg-001540","bsg-s001540"],"name":"FAIRsharing record for: Open Geospatial Consortium Sensor Model Language","abbreviation":"OGC SensorML","url":"https://fairsharing.org/10.25504/FAIRsharing.3bbe9d","doi":"10.25504/FAIRsharing.3bbe9d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sensor Model Language (SensorML) aims to provide a robust and semantically-tied means of defining processes and processing components associated with the measurement and post-measurement transformation of observations. This includes sensors and actuators as well as computational processes applied pre- and post- measurement. The main objective is to enable interoperability, first at the syntactic level and later at the semantic level (by using ontologies and semantic mediation), so that sensors and processes can be better understood by machines, utilized automatically in complex workflows, and easily shared between intelligent sensor web nodes. This standard is one of several implementation standards produced under OGC’s Sensor Web Enablement (SWE) activity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geography","Earth Science","Remote Sensing"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data","Sensor data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2179,"relation":"undefined"}],"grants":[{"id":6166,"fairsharing_record_id":771,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:50.973Z","updated_at":"2021-09-30T09:27:50.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"811","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:28:35.976Z","metadata":{"doi":"10.25504/FAIRsharing.a0yy2x","name":"Integrating Network Objects with Hierarchies Event Ontology","status":"deprecated","contacts":[{"contact_name":"IMS","contact_email":"www-admin@ims.u-tokyo.ac.jp"}],"homepage":"http://www.obofoundry.org/ontology/iev.html","citations":[],"identifier":811,"description":"INOH Event Ontology (IEV) is a structured controlled vocabulary of pathway centric biological processes used to annotate biological processes, pathways, sub-pathways in the INOH pathway data. .","abbreviation":"IEV","year_creation":2005,"cross_references":[{"url":"http://www.obofoundry.org/ontology/iev.html","name":"iev","portal":"OBO Foundry"}],"deprecation_date":"2015-04-10","deprecation_reason":"This resource has been deprecated. Deprecation confirmed via the OBO Foundry."},"legacy_ids":["bsg-000043","bsg-s000043"],"name":"FAIRsharing record for: Integrating Network Objects with Hierarchies Event Ontology","abbreviation":"IEV","url":"https://fairsharing.org/10.25504/FAIRsharing.a0yy2x","doi":"10.25504/FAIRsharing.a0yy2x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: INOH Event Ontology (IEV) is a structured controlled vocabulary of pathway centric biological processes used to annotate biological processes, pathways, sub-pathways in the INOH pathway data. .","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Mathematical model","Enzymatic reaction","Pathway model"],"taxonomies":["Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":981,"pubmed_id":18629146,"title":"The molecule role ontology: an ontology for annotation of signal transduction pathway molecules in the scientific literature.","year":2008,"url":"http://doi.org/10.1002/cfg.432","authors":"Yamamoto S,Asanuma T,Takagi T,Fukuda KI","journal":"Comp Funct Genomics","doi":"10.1002/cfg.432","created_at":"2021-09-30T08:24:08.547Z","updated_at":"2021-09-30T08:24:08.547Z"},{"id":1284,"pubmed_id":22120663,"title":"INOH: ontology-based highly structured database of signal transduction pathways.","year":2011,"url":"http://doi.org/10.1093/database/bar052","authors":"Yamamoto S,Sakai N,Nakamura H,Fukagawa H,Fukuda K,Takagi T","journal":"Database (Oxford)","doi":"10.1093/database/bar052","created_at":"2021-09-30T08:24:43.325Z","updated_at":"2021-09-30T08:24:43.325Z"},{"id":1725,"pubmed_id":17094236,"title":"Event ontology: a pathway-centric ontology for biological processes.","year":2006,"url":"https://www.ncbi.nlm.nih.gov/pubmed/17094236","authors":"Kushida T,Takagi T,Fukuda KI","journal":"Pac Symp Biocomput","doi":null,"created_at":"2021-09-30T08:25:33.280Z","updated_at":"2021-09-30T08:25:33.280Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.1 Japan (CC BY 2.1 JP)","licence_id":159,"licence_url":"https://creativecommons.org/licenses/by/2.1/jp/","link_id":1560,"relation":"undefined"}],"grants":[{"id":6200,"fairsharing_record_id":811,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:27:52.291Z","updated_at":"2021-09-30T09:27:52.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"812","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2022-12-16T10:48:14.478Z","metadata":{"doi":"10.25504/FAIRsharing.6bxcr4","name":"Systematized Nomenclature of Medicine, International Version","status":"ready","contacts":[{"contact_name":"IHTSDO","contact_email":"jgk@ihtsdo.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/SNMI","citations":[],"identifier":812,"description":"Cote, Roger A., editor. Systematized Nomenclature of Human and Veterinary Medicine: SNOMED International. Northfield (IL): College of American Pathologists; Schaumburg (IL): American Veterinary Medical Association, Version 3.5, 1998.","abbreviation":"SNMI","support_links":[{"url":"https://github.com/IHTSDO","name":"SNOMED International GitHub","type":"Github"},{"url":"tooling@snomed.org","name":"Tooling Support","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SNMI","name":"SNMI","portal":"BioPortal"}]},"legacy_ids":["bsg-001084","bsg-s001084"],"name":"FAIRsharing record for: Systematized Nomenclature of Medicine, International Version","abbreviation":"SNMI","url":"https://fairsharing.org/10.25504/FAIRsharing.6bxcr4","doi":"10.25504/FAIRsharing.6bxcr4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cote, Roger A., editor. Systematized Nomenclature of Human and Veterinary Medicine: SNOMED International. Northfield (IL): College of American Pathologists; Schaumburg (IL): American Veterinary Medical Association, Version 3.5, 1998.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Occupational Medicine","Pharmacology","Veterinary Medicine","Biomedical Science","Translational Medicine"],"domains":["Drug interaction","Disease","Morphology"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","United Kingdom","Worldwide"],"publications":[{"id":3738,"pubmed_id":null,"title":"SNOMED International (systematized Nomenclature of Human and Veterinary Medicine). 3rd Ed.","year":1994,"url":"https://aasldpubs.onlinelibrary.wiley.com/doi/10.1002/hep.1840190535","authors":"J. Ludwig; Edited by: R.A. Cote, D.J. Rothwell, J.L. Palotay, R.S. Beckett","journal":"Hepatology : official journal of the American Association for the Study of Liver Diseases (Web)","doi":"10.1002/hep.1840190535","created_at":"2022-12-14T02:29:35.707Z","updated_at":"2022-12-14T02:29:35.707Z"}],"licence_links":[],"grants":[{"id":10231,"fairsharing_record_id":812,"organisation_id":3833,"relation":"associated_with","created_at":"2022-12-14T02:15:50.118Z","updated_at":"2022-12-14T02:15:50.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":3833,"name":"International Health Terminology Standards Development Organisation (IHTSDO)","types":["Charitable foundation"],"is_lead":false,"relation":"associated_with"}},{"id":10232,"fairsharing_record_id":812,"organisation_id":3834,"relation":"maintains","created_at":"2022-12-14T02:15:50.254Z","updated_at":"2022-12-14T02:18:57.845Z","grant_id":null,"is_lead":true,"saved_state":{"id":3834,"name":"SNOMED International","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"813","type":"fairsharing_records","attributes":{"created_at":"2019-04-23T17:40:59.000Z","updated_at":"2024-03-21T13:59:01.510Z","metadata":{"doi":"10.25504/FAIRsharing.RvBRMp","name":"Pairs file format","status":"ready","contacts":[{"contact_name":"4DN Helpdesk","contact_email":"support@4dnucleome.org"}],"homepage":"https://github.com/4dn-dcic/pairix/blob/master/pairs_format_specification.md","identifier":813,"description":"A standard text format for pairs of genomic loci given as 1bp point positions, applicable to chromosome conformation experiments. Pairs files are produced as intermediate files in most Hi-C analysis pipelines and can be indexed and queried by the Pairix software.","abbreviation":".pairs","support_links":[{"url":"https://github.com/4dn-dcic/pairix/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/4dn-dcic/pairix/tree/a5e44544c758f87d5ee40f424db611410281cfdd","name":"Pairix 0.3.7"},{"url":"https://pypi.org/project/pypairix/0.3.7/","name":"Pypairix 0.3.7"},{"url":"https://github.com/4dn-dcic/Rpairix/tree/0.3.7","name":"Rpairix 0.3.7"}]},"legacy_ids":["bsg-001364","bsg-s001364"],"name":"FAIRsharing record for: Pairs file format","abbreviation":".pairs","url":"https://fairsharing.org/10.25504/FAIRsharing.RvBRMp","doi":"10.25504/FAIRsharing.RvBRMp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A standard text format for pairs of genomic loci given as 1bp point positions, applicable to chromosome conformation experiments. Pairs files are produced as intermediate files in most Hi-C analysis pipelines and can be indexed and queried by the Pairix software.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12542}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Chromosome"],"taxonomies":["All"],"user_defined_tags":["Chromosome Conformation","Genomic Contacts","Hi-C"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1464,"relation":"undefined"}],"grants":[{"id":6203,"fairsharing_record_id":813,"organisation_id":9,"relation":"maintains","created_at":"2021-09-30T09:27:52.384Z","updated_at":"2021-09-30T09:27:52.384Z","grant_id":null,"is_lead":true,"saved_state":{"id":9,"name":"4DN Data Coordination and Integration Center","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11570,"fairsharing_record_id":813,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:01.142Z","updated_at":"2024-03-21T13:59:01.426Z","grant_id":862,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"1U01CA200059-01","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"814","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2021-11-24T13:14:23.499Z","metadata":{"doi":"10.25504/FAIRsharing.rfec93","name":"Ontology for Nutritional Studies","status":"in_development","contacts":[{"contact_name":"Francesco Vitali","contact_email":"francesco.vitali.bio@gmail.com"}],"homepage":"https://github.com/enpadasi/Ontology-for-Nutritional-Studies","identifier":814,"description":"Ontology For Nutritional Studies (ONS) has been developed as part of the ENPADASI European project (http://www.enpadasi.eu/) with the aim to define a common language and building ontologies for nutritional studies. It is the first systematic effort to provide a formal ontology framework for the description of nutritional studies.","abbreviation":"ONS","support_links":[{"url":"https://github.com/enpadasi/Ontology-for-Nutritional-Studies/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONS","name":"ONS","portal":"BioPortal"}]},"legacy_ids":["bsg-001068","bsg-s001068"],"name":"FAIRsharing record for: Ontology for Nutritional Studies","abbreviation":"ONS","url":"https://fairsharing.org/10.25504/FAIRsharing.rfec93","doi":"10.25504/FAIRsharing.rfec93","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology For Nutritional Studies (ONS) has been developed as part of the ENPADASI European project (http://www.enpadasi.eu/) with the aim to define a common language and building ontologies for nutritional studies. It is the first systematic effort to provide a formal ontology framework for the description of nutritional studies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17362},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14551}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Nutritional Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":423,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"815","type":"fairsharing_records","attributes":{"created_at":"2018-01-30T21:18:28.000Z","updated_at":"2022-09-26T13:16:53.529Z","metadata":{"doi":"10.25504/FAIRsharing.f3jewy","name":"smartAPI specification","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com"}],"homepage":"http://smart-api.info","citations":[],"identifier":815,"description":"The smartAPI project aims to maximize the FAIRness (Findability, Accessibility, Interoperability, and Reusability) of web-based Application Programming Interfaces (APIs). Rich metadata is essential to properly describe your API so that it becomes discoverable, connected, and reusable. We have developed a openAPI-based specification for defining the key API metadata elements and value sets. smartAPIs leverage the Open API specification v3 and JSON-LD for providing semantically annotated JSON content that can be treated as Linked Data.","abbreviation":"smartAPI","year_creation":2017},"legacy_ids":["bsg-001126","bsg-s001126"],"name":"FAIRsharing record for: smartAPI specification","abbreviation":"smartAPI","url":"https://fairsharing.org/10.25504/FAIRsharing.f3jewy","doi":"10.25504/FAIRsharing.f3jewy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The smartAPI project aims to maximize the FAIRness (Findability, Accessibility, Interoperability, and Reusability) of web-based Application Programming Interfaces (APIs). Rich metadata is essential to properly describe your API so that it becomes discoverable, connected, and reusable. We have developed a openAPI-based specification for defining the key API metadata elements and value sets. smartAPIs leverage the Open API specification v3 and JSON-LD for providing semantically annotated JSON content that can be treated as Linked Data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Resource metadata","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands","United States"],"publications":[{"id":1931,"pubmed_id":null,"title":"Towards a More Intelligent Network of Web APIs.","year":2017,"url":"http://doi.org/10.1007/978-3-319-58451-5_11","authors":"Amrapali Zaveri, Shima Dastgheib, Chunlei Wu, Trish Whetzel, Ruben Verborgh, Paul Avillach, Gabor Korodi, Raymond Terryn, Kathleen Jagodnik, Pedro Assis, Michel Dumontier","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-319-58451-5_11","created_at":"2021-09-30T08:25:57.365Z","updated_at":"2021-09-30T08:25:57.365Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":177,"relation":"undefined"}],"grants":[{"id":6204,"fairsharing_record_id":815,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:52.414Z","updated_at":"2021-09-30T09:31:12.167Z","grant_id":1061,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54HG008033","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8888,"fairsharing_record_id":815,"organisation_id":2943,"relation":"funds","created_at":"2022-02-18T22:41:14.348Z","updated_at":"2022-02-18T22:41:14.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"816","type":"fairsharing_records","attributes":{"created_at":"2019-06-13T09:39:41.000Z","updated_at":"2024-01-28T15:58:04.462Z","metadata":{"doi":"10.25504/FAIRsharing.c26a4e","name":"European Registry of Materials Identifier","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@maastrichtuniversity.nl","contact_orcid":"0000-0001-7542-0286"}],"homepage":"https://nanocommons.github.io/identifiers/","citations":[{"doi":"10.1186/s13321-022-00614-7","pubmed_id":null,"publication_id":3566}],"identifier":816,"description":"Identifier project to uniquely identify nanomaterials, allowing them to identify materials in experimental designs, data, reports, project deliverables, and scholarly publications.","abbreviation":"ERM Identifier","year_creation":2019,"cross_references":[{"url":"https://registry.identifiers.org/registry/erm","name":"identifiers.org","portal":"Other"},{"url":"https://bioregistry.io/registry/erm","name":"Bioregistry","portal":"Other"}],"regular_expression":"^ERM[0-9]{8}$"},"legacy_ids":["bsg-001384","bsg-s001384"],"name":"FAIRsharing record for: European Registry of Materials Identifier","abbreviation":"ERM Identifier","url":"https://fairsharing.org/10.25504/FAIRsharing.c26a4e","doi":"10.25504/FAIRsharing.c26a4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Identifier project to uniquely identify nanomaterials, allowing them to identify materials in experimental designs, data, reports, project deliverables, and scholarly publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Nanotechnology","Materials Informatics"],"domains":["Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Bulgaria","Netherlands","Norway","Sweden","United Kingdom"],"publications":[{"id":3566,"pubmed_id":null,"title":"European Registry of Materials: global, unique identifiers for (undisclosed) nanomaterials","year":2022,"url":"http://dx.doi.org/10.1186/s13321-022-00614-7","authors":"van Rijn, Jeaphianne; Afantitis, Antreas; Culha, Mustafa; Dusinska, Maria; Exner, Thomas E.; Jeliazkova, Nina; Longhin, Eleonora Marta; Lynch, Iseult; Melagraki, Georgia; Nymark, Penny; Papadiamantis, Anastasios G.; Winkler, David A.; Yilmaz, Hulya; Willighagen, Egon; ","journal":"J Cheminform","doi":"10.1186/s13321-022-00614-7","created_at":"2022-08-26T08:06:02.647Z","updated_at":"2022-08-26T08:06:02.647Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1179,"relation":"undefined"}],"grants":[{"id":6206,"fairsharing_record_id":816,"organisation_id":1929,"relation":"maintains","created_at":"2021-09-30T09:27:52.498Z","updated_at":"2021-09-30T09:27:52.498Z","grant_id":null,"is_lead":true,"saved_state":{"id":1929,"name":"Nanocommons","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6207,"fairsharing_record_id":816,"organisation_id":1739,"relation":"maintains","created_at":"2021-09-30T09:27:52.540Z","updated_at":"2021-09-30T09:27:52.540Z","grant_id":null,"is_lead":false,"saved_state":{"id":1739,"name":"Maastricht University (UM), Maastricht, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6205,"fairsharing_record_id":816,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:52.449Z","updated_at":"2021-09-30T09:29:19.737Z","grant_id":197,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"731032","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"822","type":"fairsharing_records","attributes":{"created_at":"2020-07-08T13:23:52.000Z","updated_at":"2024-01-27T14:38:42.602Z","metadata":{"doi":"10.25504/FAIRsharing.29924b","name":"ISO 27729:2012 Information and documentation — International standard name identifier","status":"ready","contacts":[{"contact_name":"Todd Carpenter","contact_email":"tcarpenter@niso.org"}],"homepage":"https://www.iso.org/standard/44292.html","citations":[],"identifier":822,"description":"ISO 27729:2012 specifies the International Standard Name Identifier (ISNI) for the identification of public identities of parties, i.e. the identities used publicly by parties involved throughout the media content industries in the creation, production, management and content distribution chains. ISNIs uniquely identify public identities across multiple fields of creative activity and provides a tool for disambiguating public identities that might otherwise be confused. An ISNI is made up of 16 digits, the last character being a check character. The check character may be either a decimal digit or the character “X”.","abbreviation":"ISO 27729:2012 ISNI","support_links":[{"url":"https://isni.org/page/faqs/","name":"ISNI FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://isni.org","name":"ISNI Website","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/International_Standard_Name_Identifier","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012,"cross_references":[{"url":"https://registry.identifiers.org/registry/isni","name":"Identifiers.org","portal":"Other"},{"url":"https://bioregistry.io/registry/isni","name":"Bioregistry","portal":"Other"}],"regular_expression":"^[0-9]{15}[0-9X]{1}$"},"legacy_ids":["bsg-001510","bsg-s001510"],"name":"FAIRsharing record for: ISO 27729:2012 Information and documentation — International standard name identifier","abbreviation":"ISO 27729:2012 ISNI","url":"https://fairsharing.org/10.25504/FAIRsharing.29924b","doi":"10.25504/FAIRsharing.29924b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 27729:2012 specifies the International Standard Name Identifier (ISNI) for the identification of public identities of parties, i.e. the identities used publicly by parties involved throughout the media content industries in the creation, production, management and content distribution chains. ISNIs uniquely identify public identities across multiple fields of creative activity and provides a tool for disambiguating public identities that might otherwise be confused. An ISNI is made up of 16 digits, the last character being a check character. The check character may be either a decimal digit or the character “X”.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17382}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Informatics"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2008,"relation":"undefined"}],"grants":[{"id":6219,"fairsharing_record_id":822,"organisation_id":1531,"relation":"maintains","created_at":"2021-09-30T09:27:53.067Z","updated_at":"2021-09-30T09:27:53.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":1531,"name":"International Standards Organisation (ISO) ISO/TC 46/SC 9: Identification and description","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10928,"fairsharing_record_id":822,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:20:26.634Z","updated_at":"2023-09-27T14:20:26.634Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"823","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-10-18T08:55:17.053Z","metadata":{"doi":"10.25504/FAIRsharing.27rndz","name":"Geographical Entity Ontology","status":"ready","contacts":[{"contact_name":"Mathias Brochhausen","contact_email":"MBrochhausen@uams.edu"},{"contact_name":"Bill Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":null}],"homepage":"https://github.com/mcwdsi/geographical-entity-ontology","citations":[],"identifier":823,"description":"The Geographical Entity Ontology (GEO) is an ontology of geographical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction).","abbreviation":"GEO","support_links":[{"url":"https://github.com/mcwdsi/geographical-entity-ontology/issues","name":"Issue tracker","type":"Contact form"},{"url":"https://github.com/mcwdsi/geographical-entity-ontology/wiki","name":"Wiki home page","type":"Help documentation"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GEO","name":"GEO","portal":"BioPortal"},{"url":"http://obofoundry.org/ontology/geo.html","name":"geo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001012","bsg-s001012"],"name":"FAIRsharing record for: Geographical Entity Ontology","abbreviation":"GEO","url":"https://fairsharing.org/10.25504/FAIRsharing.27rndz","doi":"10.25504/FAIRsharing.27rndz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geographical Entity Ontology (GEO) is an ontology of geographical entities (such as sovereign states and their administrative subdivisions) as well as various geographical regions (including but not limited to the specific ones over which the governments have jurisdiction).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Human Geography","Physical Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2520,"relation":"applies_to_content"}],"grants":[{"id":11004,"fairsharing_record_id":823,"organisation_id":3055,"relation":"collaborates_on","created_at":"2023-10-16T14:39:24.232Z","updated_at":"2023-10-16T14:39:24.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11005,"fairsharing_record_id":823,"organisation_id":1810,"relation":"maintains","created_at":"2023-10-16T14:39:24.301Z","updated_at":"2023-10-16T14:39:24.301Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"824","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T15:46:06.000Z","updated_at":"2022-04-11T12:07:18.386Z","metadata":{"doi":"10.25504/FAIRsharing.tnu8V7","name":"Data Quality Vocabulary","status":"ready","homepage":"https://www.w3.org/TR/vocab-dqv/","identifier":824,"description":"Aiming to facilitate the publication of such data quality information on the Web, especially in the growing area of data catalogues, the W3C Data Web Best Practices Working (DWBP) group has developed the Data Quality Vocabulary (DQV). DQV is a (meta)data model implemented as an RDF vocabulary with properties and classes suitable for expressing the quality of datasets and their distributions. DQV has been conceived as a high-level, interoperable framework that must accommodate various views over data quality. DQV does not seek to determine what \"quality\" means. Quality lies in the eye of the beholder; and there is no objective, ideal definition of it. Some datasets will be judged as low-quality resources by some data consumers, while they will perfectly fit others' needs. There are heuristics designed to fit specific assessment situations that rely on quality indicators, such as pieces of data content, pieces of data meta-information and human ratings, to give indications about the suitability of data for some intended use. DQV re-uses the notions of quality dimensions, categories and metrics to represent various approaches to data quality assessments. It also stresses the importance of allowing different actors to assess the quality of datasets and publish their annotations, certificates, or mere opinions about a dataset.","abbreviation":"DQV","support_links":[{"url":"riccardo.albertoni@cnr.it","name":"Riccardo Albertoni","type":"Support email"},{"url":"aisaac@few.vu.nl","name":"Antoine Isaac","type":"Support email"},{"url":"https://github.com/w3c/dwbp","name":"GitHub Repository","type":"Github"},{"url":"https://www.w3.org/2013/dwbp/wiki/Data_quality_notes","name":"Wiki Pages","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001339","bsg-s001339"],"name":"FAIRsharing record for: Data Quality Vocabulary","abbreviation":"DQV","url":"https://fairsharing.org/10.25504/FAIRsharing.tnu8V7","doi":"10.25504/FAIRsharing.tnu8V7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Aiming to facilitate the publication of such data quality information on the Web, especially in the growing area of data catalogues, the W3C Data Web Best Practices Working (DWBP) group has developed the Data Quality Vocabulary (DQV). DQV is a (meta)data model implemented as an RDF vocabulary with properties and classes suitable for expressing the quality of datasets and their distributions. DQV has been conceived as a high-level, interoperable framework that must accommodate various views over data quality. DQV does not seek to determine what \"quality\" means. Quality lies in the eye of the beholder; and there is no objective, ideal definition of it. Some datasets will be judged as low-quality resources by some data consumers, while they will perfectly fit others' needs. There are heuristics designed to fit specific assessment situations that rely on quality indicators, such as pieces of data content, pieces of data meta-information and human ratings, to give indications about the suitability of data for some intended use. DQV re-uses the notions of quality dimensions, categories and metrics to represent various approaches to data quality assessments. It also stresses the importance of allowing different actors to assess the quality of datasets and publish their annotations, certificates, or mere opinions about a dataset.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Quality"],"domains":["Data retrieval"],"taxonomies":[],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1325,"relation":"undefined"}],"grants":[{"id":6221,"fairsharing_record_id":824,"organisation_id":3201,"relation":"maintains","created_at":"2021-09-30T09:27:53.136Z","updated_at":"2021-09-30T09:27:53.136Z","grant_id":null,"is_lead":false,"saved_state":{"id":3201,"name":"W3C - Data on the Web Best Practices Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6220,"fairsharing_record_id":824,"organisation_id":1567,"relation":"maintains","created_at":"2021-09-30T09:27:53.104Z","updated_at":"2021-09-30T09:27:53.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":1567,"name":"Italian National Research Council (CNR) - Institute for Applied Mathematics and Information Technologies Enrico Magenes","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9159,"fairsharing_record_id":824,"organisation_id":3197,"relation":"maintains","created_at":"2022-04-11T12:07:18.374Z","updated_at":"2022-04-11T12:07:18.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":3197,"name":"Vrije Universiteit Amsterdam, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"825","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T12:24:29.000Z","updated_at":"2022-07-20T11:38:36.466Z","metadata":{"doi":"10.25504/FAIRsharing.e07e1b","name":"Water Markup Language","status":"ready","contacts":[{"contact_name":"OGC Standards Contact","contact_email":"standards@opengeospatial.org"}],"homepage":"http://www.opengeospatial.org/standards/waterml","identifier":825,"description":"WaterML 2.0 is a standard information model for the representation of water observations data, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of exchange requirements. The primary goal of this profile is to capture the semantics of hydrological observational data for data exchange. This will allow hydrological information systems to communicate data between systems and to end users.","abbreviation":"WaterML","support_links":[{"url":"https://www.ogc.org/standards/waterml#news","name":"Related news","type":"Blog/News"}],"year_creation":2012},"legacy_ids":["bsg-001318","bsg-s001318"],"name":"FAIRsharing record for: Water Markup Language","abbreviation":"WaterML","url":"https://fairsharing.org/10.25504/FAIRsharing.e07e1b","doi":"10.25504/FAIRsharing.e07e1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WaterML 2.0 is a standard information model for the representation of water observations data, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of exchange requirements. The primary goal of this profile is to capture the semantics of hydrological observational data for data exchange. This will allow hydrological information systems to communicate data between systems and to end users.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science","Hydrology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Observations"],"countries":["Australia","Canada","France","Germany","United States"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2182,"relation":"undefined"}],"grants":[{"id":6223,"fairsharing_record_id":825,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:53.190Z","updated_at":"2021-09-30T09:27:53.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"826","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-05-19T06:40:35.132Z","metadata":{"doi":"10.25504/FAIRsharing.g7b4rj","name":"WikiPathways","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@gmail.com"}],"homepage":"http://www.wikipathways.org/","citations":[],"identifier":826,"description":"WikiPathways simplifies the contribution and maintenance of biological pathway information. It is an open and collaborative platform that curates pathways, complementing existing databases like KEGG, Reactome, and Pathway Commons. The web-based format makes it easy for anyone to participate, from students to experts. The community takes on peer review, editorial curation, and maintenance tasks.","abbreviation":"WIKIPATHWAYS","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WIKIPATHWAYS","name":"WIKIPATHWAYS","portal":"BioPortal"}]},"legacy_ids":["bsg-000909","bsg-s000909"],"name":"FAIRsharing record for: WikiPathways","abbreviation":"WIKIPATHWAYS","url":"https://fairsharing.org/10.25504/FAIRsharing.g7b4rj","doi":"10.25504/FAIRsharing.g7b4rj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WikiPathways simplifies the contribution and maintenance of biological pathway information. It is an open and collaborative platform that curates pathways, complementing existing databases like KEGG, Reactome, and Pathway Commons. The web-based format makes it easy for anyone to participate, from students to experts. The community takes on peer review, editorial curation, and maintenance tasks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Virology","Epidemiology"],"domains":["Reaction data","Protein interaction","Signaling","Biological regulation","Molecular interaction","Genetic interaction","Drug interaction","Pathway model"],"taxonomies":["Anopheles gambiae","Arabidopsis thaliana","Bacillus subtilis","Bos taurus","Caenorhabditis elegans","Canis familiaris","Danio rerio","Drosophila melanogaster","Equus caballus","Escherichia coli","Gallus gallus","Gibberella zeae","Homo sapiens","Hordeum vulgare","Mus musculus","Mycobacterium tuberculosis","Oryza sativa","Pan troglodytes","Plasmodium falciparum","Populus trichocarpa","Rattus norvegicus","Saccharomyces cerevisiae","Solanum lycopersicum","Sus scrofa","Zea mays"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"790","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:41.371Z","metadata":{"doi":"10.25504/FAIRsharing.7z842d","name":"CDISC Standard for Exchange of Nonclinical Data","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/send","identifier":790,"description":"CDISC SEND is an implementation of the SDTM standard for nonclinical studies. SEND specifies a way to collect and present nonclinical data in a consistent format.","abbreviation":"CDISC SEND","support_links":[{"url":"https://www.cdisc.org/education/course/send-implementation","name":"SEND Implementation","type":"Training documentation"}]},"legacy_ids":["bsg-000036","bsg-s000036"],"name":"FAIRsharing record for: CDISC Standard for Exchange of Nonclinical Data","abbreviation":"CDISC SEND","url":"https://fairsharing.org/10.25504/FAIRsharing.7z842d","doi":"10.25504/FAIRsharing.7z842d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC SEND is an implementation of the SDTM standard for nonclinical studies. SEND specifies a way to collect and present nonclinical data in a consistent format.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17395},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11263},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11801},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11934},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12398}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["In vivo design"],"taxonomies":["Canis familiaris","Macaca fascicularis","Macaca mulatta","Metazoa","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Non-clinical trial"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6190,"fairsharing_record_id":790,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:27:51.845Z","updated_at":"2021-09-30T09:27:51.845Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6188,"fairsharing_record_id":790,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:27:51.769Z","updated_at":"2021-09-30T09:27:51.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6189,"fairsharing_record_id":790,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:27:51.807Z","updated_at":"2021-09-30T09:27:51.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6191,"fairsharing_record_id":790,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:27:51.877Z","updated_at":"2021-09-30T09:27:51.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"792","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2022-07-20T10:59:51.307Z","metadata":{"doi":"10.25504/FAIRsharing.v665h","name":"Minimal Standard Terminology for Gastrointestinal Endoscopy","status":"ready","contacts":[{"contact_name":"WEO Secretariat","contact_email":"secretariat@worldendo.org","contact_orcid":null}],"homepage":"https://www.worldendo.org/resources/minimal-standard-terminology-mst/","citations":[],"identifier":792,"description":"The Minimal Standard Terminology (MST) for gastrointestinal endoscopy is the result of a continuous work by WEO, the European Society of Gastrointestinal Endoscopy (ESGE), the American Society of Gastrointestinal Endoscopy (ASGE) and a large group of international collaborators. Standardization of the language of gastrointestinal endoscopy is becoming increasingly important on account of international collaboration, standardized documentation requirements, and computer-based reporting. The MST offers a selection of terms and attributes for appropriate description of findings, procedures and complications with regards to gastrointestinal endoscopy. It does not offer a complete reference for the endoscopic report.","abbreviation":"MST","support_links":[{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/MTHMST/index.html","name":"NLM's Metathesaurus MST Digestive Endoscopy (MTHMST)","type":"Other"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MSTDE","name":"NLM Version of MST on BioPortal","portal":"BioPortal"}]},"legacy_ids":["bsg-000910","bsg-s000910"],"name":"FAIRsharing record for: Minimal Standard Terminology for Gastrointestinal Endoscopy","abbreviation":"MST","url":"https://fairsharing.org/10.25504/FAIRsharing.v665h","doi":"10.25504/FAIRsharing.v665h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimal Standard Terminology (MST) for gastrointestinal endoscopy is the result of a continuous work by WEO, the European Society of Gastrointestinal Endoscopy (ESGE), the American Society of Gastrointestinal Endoscopy (ASGE) and a large group of international collaborators. Standardization of the language of gastrointestinal endoscopy is becoming increasingly important on account of international collaboration, standardized documentation requirements, and computer-based reporting. The MST offers a selection of terms and attributes for appropriate description of findings, procedures and complications with regards to gastrointestinal endoscopy. It does not offer a complete reference for the endoscopic report.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gastroenterology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["endoscopy"],"countries":["Worldwide"],"publications":[{"id":3172,"pubmed_id":null,"title":"Minimal standard terminology for gastrointestinal endoscopy – MST 3.0","year":2009,"url":"http://dx.doi.org/10.1055/s-0029-1214949","authors":"Aabakken, Lars; Rembacken, Bjorn; LeMoine, Olivier; Kuznetsov, Konstantin; Rey, Jean-Francois; Rösch, Thomas; Eisen, Glen; Cotton, Peter; Fujino, Masayuki; ","journal":"Endoscopy","doi":"10.1055/s-0029-1214949","created_at":"2022-01-05T14:47:27.350Z","updated_at":"2022-01-05T14:47:27.350Z"}],"licence_links":[{"licence_name":"WEO MST Copyright Declaration","licence_id":900,"licence_url":"https://www.worldendo.org/resources/minimal-standard-terminology-mst/","link_id":2549,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"795","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-13T09:26:15.477Z","metadata":{"doi":"10.25504/FAIRsharing.znrhmd","name":"Heart Failure Ontology","status":"ready","contacts":[{"contact_name":"Liqin Wang","contact_email":"liqin.j.wang@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/HFO","citations":[],"identifier":795,"description":"Heart failure ontology is an attempt to define heart-failure-relevant information including the causes and risk factors, signs and symptoms, diagnostic tests and results, and treatment.","abbreviation":"HFO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HFO","name":"HFO","portal":"BioPortal"}]},"legacy_ids":["bsg-000911","bsg-s000911"],"name":"FAIRsharing record for: Heart Failure Ontology","abbreviation":"HFO","url":"https://fairsharing.org/10.25504/FAIRsharing.znrhmd","doi":"10.25504/FAIRsharing.znrhmd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Heart failure ontology is an attempt to define heart-failure-relevant information including the causes and risk factors, signs and symptoms, diagnostic tests and results, and treatment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Human Biology"],"domains":["Heart"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"796","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:57:43.688Z","metadata":{"doi":"10.25504/FAIRsharing.4c9hhn","name":"TDWG Access Protocol for Information Retrieval","status":"ready","contacts":[{"contact_name":"Renato De Giovanni","contact_email":"renato@cria.org.br","contact_orcid":"0000-0002-7104-7266"}],"homepage":"http://www.tdwg.org/standards/449/","identifier":796,"description":"The TDWG Access Protocol for Information Retrieval (TAPIR) is a Web Service protocol and XML schema to perform queries across distributed databases of varied physical and logical structure. It was originally designed to be used by federated networks. TAPIR is intended for communication between applications, using HTTP as the transport mechanism. TAPIR's flexibility makes it suitable to both very simple service implementations where the provider only responds to a set of pre-defined queries, or more advanced implementations where the provider software can dynamically parse complex queries referencing output models supplied by the client.","abbreviation":"TAPIR","support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","type":"Mailing list"},{"url":"http://tdwg.github.io/tapir/docs/tdwg_tapir_specification_2010-05-05.html","name":"TAPIR - TDWG Access Protocol for Information Retrieval","type":"Github"},{"url":"http://tdwg.github.io/tapir/cs/","name":"TAPIR concept name server","type":"Github"},{"url":"http://tdwg.github.io/tapir/docs/TAPIRNetworkBuildersGuide_2010-05-05.html","name":"TAPIR - TDWG Access Protocol for Information Retrieval","type":"Github"}],"year_creation":2009,"associated_tools":[{"url":"https://sourceforge.net/projects/digir/files/TapirLink/","name":"TapirLink"},{"url":"https://sourceforge.net/p/digir/svn/HEAD/tree/pywrapper/","name":"PyWrapper"},{"url":"https://sourceforge.net/p/digir/svn/HEAD/tree/tapirtester/","name":"TAPIR Tester"},{"url":"https://sourceforge.net/p/digir/svn/HEAD/tree/tapirbuilder/","name":"TAPIR Builder"}]},"legacy_ids":["bsg-000196","bsg-s000196"],"name":"FAIRsharing record for: TDWG Access Protocol for Information Retrieval","abbreviation":"TAPIR","url":"https://fairsharing.org/10.25504/FAIRsharing.4c9hhn","doi":"10.25504/FAIRsharing.4c9hhn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TDWG Access Protocol for Information Retrieval (TAPIR) is a Web Service protocol and XML schema to perform queries across distributed databases of varied physical and logical structure. It was originally designed to be used by federated networks. TAPIR is intended for communication between applications, using HTTP as the transport mechanism. TAPIR's flexibility makes it suitable to both very simple service implementations where the provider only responds to a set of pre-defined queries, or more advanced implementations where the provider software can dynamically parse complex queries referencing output models supplied by the client.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12001},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12270}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Computer Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1250,"relation":"undefined"}],"grants":[{"id":6192,"fairsharing_record_id":796,"organisation_id":2705,"relation":"maintains","created_at":"2021-09-30T09:27:51.904Z","updated_at":"2021-09-30T09:27:51.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":2705,"name":"TAPIR task group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"800","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.078Z","metadata":{"doi":"10.25504/FAIRsharing.k5s8zj","name":"Multilevel Healthcare Information Modeling","status":"uncertain","contacts":[{"contact_name":"Luciana Tricai Cavalini","contact_email":"lutricav@mlhim.org","contact_orcid":"0000-0002-1087-1024"}],"homepage":"https://mlhim-specifications.readthedocs.io/en/master/index.html","identifier":800,"description":"The Multilevel Healthcare Information Modeling (MLHIM) specifications enables the exchange of syntactically and semantically interoperable data extracts between distributed, independently developed, biomedical databases and clinical applications, promoting syntactic and semantic integration of Translational Research data. This record has been marked as having an Uncertain status as the original homepage (http://mlhim.org) and GitHub repository are no longer available. If you have any information on the current status of this format, please get in touch.","abbreviation":"MLHIM","year_creation":2010},"legacy_ids":["bsg-000524","bsg-s000524"],"name":"FAIRsharing record for: Multilevel Healthcare Information Modeling","abbreviation":"MLHIM","url":"https://fairsharing.org/10.25504/FAIRsharing.k5s8zj","doi":"10.25504/FAIRsharing.k5s8zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Multilevel Healthcare Information Modeling (MLHIM) specifications enables the exchange of syntactically and semantically interoperable data extracts between distributed, independently developed, biomedical databases and clinical applications, promoting syntactic and semantic integration of Translational Research data. This record has been marked as having an Uncertain status as the original homepage (http://mlhim.org) and GitHub repository are no longer available. If you have any information on the current status of this format, please get in touch.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12467}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science","Translational Medicine"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Brazil","France","Germany","New Zealand","United Kingdom","United States"],"publications":[{"id":259,"pubmed_id":null,"title":"Knowledge engineering of healthcare applications based on minimalist multilevel models","year":2012,"url":"http://doi.org/10.1109/HealthCom.2012.6379454","authors":"Cavalini LT; Cook TW","journal":"Proceedings of the 14th IEEE International Conference on e-Health Networking, Applications and Services (Healthcom 2012)","doi":"10.1109/HealthCom.2012.6379454","created_at":"2021-09-30T08:22:47.991Z","updated_at":"2021-09-30T08:22:47.991Z"},{"id":1808,"pubmed_id":null,"title":"Health Informatics: The Relevance of Open Source and Multilevel Modeling","year":2011,"url":"http://doi.org/10.1007/978-3-642-24418-6_29","authors":"Cavalini LT; Cook TW","journal":"IFIP Advances in Information and Communication Technology","doi":"10.1007/978-3-642-24418-6_29","created_at":"2021-09-30T08:25:42.962Z","updated_at":"2021-09-30T08:25:42.962Z"}],"licence_links":[],"grants":[{"id":6196,"fairsharing_record_id":800,"organisation_id":2451,"relation":"maintains","created_at":"2021-09-30T09:27:52.086Z","updated_at":"2021-09-30T09:27:52.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":2451,"name":"Rio de Janeiro State University, Brazil","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6193,"fairsharing_record_id":800,"organisation_id":1876,"relation":"funds","created_at":"2021-09-30T09:27:51.965Z","updated_at":"2021-09-30T09:27:51.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":1876,"name":"Ministry of Science, Technology and Innovation (CNPq), Brasilia, Brazil","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6194,"fairsharing_record_id":800,"organisation_id":1079,"relation":"funds","created_at":"2021-09-30T09:27:52.007Z","updated_at":"2021-09-30T09:27:52.007Z","grant_id":null,"is_lead":false,"saved_state":{"id":1079,"name":"Fundaeo Carlos Chagas Filho de Amparo, Pesquisa do Estado do Rio de Janeiro (FAPERJ), Rio de Janeiro, Brazil","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6195,"fairsharing_record_id":800,"organisation_id":1813,"relation":"funds","created_at":"2021-09-30T09:27:52.049Z","updated_at":"2021-09-30T09:27:52.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1813,"name":"Medicine Assisted by Scientific Computing (MACC), National Institute of Science and Technology, Rio de Janeiro, Brasil","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6197,"fairsharing_record_id":800,"organisation_id":1022,"relation":"maintains","created_at":"2021-09-30T09:27:52.122Z","updated_at":"2021-09-30T09:27:52.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":1022,"name":"Fluminense Federal University, Niterai, RJ, Brazil","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"817","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:58:29.685Z","metadata":{"doi":"10.25504/FAIRsharing.tepvv5","name":"FOODIE core ontology","status":"ready","contacts":[{"contact_name":"Raul Palma","contact_email":"rpalma@man.poznan.pl"}],"homepage":"http://foodie-cloud.github.io/model/FOODIE.html","identifier":817,"description":"The FOODIE project is focused on building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and large-scale integration of data relevant for farming production. The FOODIE ontology is an INSPIRE-based vocabulary for the publication of Agricultural Linked Data. The ontology provides a semantic representation of the FOODIE core data model, which was specified in UML by extending and specializing the INSPIRE data model for Agricultural and Aquaculture Facilities (AF), which is in turn based on the ISO/OGC standards for geographical information.","abbreviation":"FOODIE","support_links":[{"url":"https://github.com/FOODIE-cloud/ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001114","bsg-s001114"],"name":"FAIRsharing record for: FOODIE core ontology","abbreviation":"FOODIE","url":"https://fairsharing.org/10.25504/FAIRsharing.tepvv5","doi":"10.25504/FAIRsharing.tepvv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FOODIE project is focused on building an open and interoperable agricultural specialized platform on the cloud for the management, discovery and large-scale integration of data relevant for farming production. The FOODIE ontology is an INSPIRE-based vocabulary for the publication of Agricultural Linked Data. The ontology provides a semantic representation of the FOODIE core data model, which was specified in UML by extending and specializing the INSPIRE data model for Agricultural and Aquaculture Facilities (AF), which is in turn based on the ISO/OGC standards for geographical information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Agriculture"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Czech Republic","Poland","Spain"],"publications":[{"id":2069,"pubmed_id":null,"title":"An INSPIRE-Based Vocabulary for the Publication of Agricultural Linked Data","year":2016,"url":"https://link.springer.com/chapter/10.1007/978-3-319-33245-1_13","authors":"Palma R., Reznik T., Esbrí M., Charvat K., Mazurek C.","journal":"In: Tamma V., Dragoni M., Gonçalves R., Ławrynowicz A. (eds) Ontology Engineering. OWLED 2015. Lecture Notes in Computer Science, vol 9557","doi":null,"created_at":"2021-09-30T08:26:13.191Z","updated_at":"2021-09-30T11:28:34.328Z"}],"licence_links":[],"grants":[{"id":6209,"fairsharing_record_id":817,"organisation_id":2779,"relation":"funds","created_at":"2021-09-30T09:27:52.615Z","updated_at":"2021-09-30T09:27:52.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":2779,"name":"The FOODIE Project","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6208,"fairsharing_record_id":817,"organisation_id":2351,"relation":"maintains","created_at":"2021-09-30T09:27:52.578Z","updated_at":"2021-09-30T09:27:52.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":2351,"name":"Poznan Supercomputing and Networking Center, Poznan, Poland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"818","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T12:02:01.000Z","updated_at":"2023-09-29T11:54:58.567Z","metadata":{"doi":"10.25504/FAIRsharing.33aa85","name":"ISO 639-3 Codes for the representation of names of languages - Part 3: Alpha-3 code for comprehensive coverage of languages","status":"ready","contacts":[{"contact_name":"SIL International","contact_email":"iso639-3@sil.org"}],"homepage":"https://www.iso.org/standard/39534.html","citations":[],"identifier":818,"description":"ISO 639-3 provides a comprehensive set of identifiers for all languages for use in a wide range of applications, including linguistics, lexicography and internationalization of information systems. It attempts to represent all known full languages. ISO 639 provides three language code sets: one is a two-letter code (ISO 639-1) and two others are three-letter codes (ISO 639-2 and ISO 639-3) for the representation of names of languages. The three-letter codes in ISO 639-2 and ISO 639-3 are complementary and compatible. The two codes have been devised for different purposes. The set of individual languages listed in ISO 639-2 is a subset of those listed in ISO 639-3. The codes differ in that ISO 639-2 includes code elements representing some individual languages and also collections of languages, while ISO 639-3 includes code elements for all known individual languages but not for collections of languages. Overall, the set of individual languages listed in ISO 639-3 is much larger than the set of individual languages listed in ISO 639-2.","abbreviation":"ISO 639-3","support_links":[{"url":"https://iso639-3.sil.org/sites/iso639-3/files/criteria_for_coded_languages.pdf","name":"Criteria for Inclusion","type":"Help documentation"},{"url":"https://iso639-3.sil.org/about/relationships","name":"Relationship to other ISO 639 Standards","type":"Help documentation"},{"url":"https://iso639-3.sil.org/about/scope","name":"Scope of Denotation for Language Identifiers","type":"Help documentation"},{"url":"https://iso639-3.sil.org/about/types","name":"Types of Languages","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001407","bsg-s001407"],"name":"FAIRsharing record for: ISO 639-3 Codes for the representation of names of languages - Part 3: Alpha-3 code for comprehensive coverage of languages","abbreviation":"ISO 639-3","url":"https://fairsharing.org/10.25504/FAIRsharing.33aa85","doi":"10.25504/FAIRsharing.33aa85","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 639-3 provides a comprehensive set of identifiers for all languages for use in a wide range of applications, including linguistics, lexicography and internationalization of information systems. It attempts to represent all known full languages. ISO 639 provides three language code sets: one is a two-letter code (ISO 639-1) and two others are three-letter codes (ISO 639-2 and ISO 639-3) for the representation of names of languages. The three-letter codes in ISO 639-2 and ISO 639-3 are complementary and compatible. The two codes have been devised for different purposes. The set of individual languages listed in ISO 639-2 is a subset of those listed in ISO 639-3. The codes differ in that ISO 639-2 includes code elements representing some individual languages and also collections of languages, while ISO 639-3 includes code elements for all known individual languages but not for collections of languages. Overall, the set of individual languages listed in ISO 639-3 is much larger than the set of individual languages listed in ISO 639-2.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Informatics","Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Language"],"countries":["United States","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6211,"fairsharing_record_id":818,"organisation_id":2567,"relation":"maintains","created_at":"2021-09-30T09:27:52.690Z","updated_at":"2021-09-30T09:27:52.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":2567,"name":"SIL International","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":6210,"fairsharing_record_id":818,"organisation_id":1526,"relation":"maintains","created_at":"2021-09-30T09:27:52.654Z","updated_at":"2021-09-30T09:27:52.654Z","grant_id":null,"is_lead":false,"saved_state":{"id":1526,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 2: Terminology workflow and language coding","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10924,"fairsharing_record_id":818,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:16:35.581Z","updated_at":"2023-09-27T14:16:35.581Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"819","type":"fairsharing_records","attributes":{"created_at":"2018-08-16T22:27:02.000Z","updated_at":"2022-02-08T10:47:47.393Z","metadata":{"doi":"10.25504/FAIRsharing.6bd353","name":"Darwin Information Typing Architecture","status":"ready","contacts":[{"contact_name":"Kristen Eberlein","contact_email":"kris@eberleinconsulting.com"}],"homepage":"http://docs.oasis-open.org/dita/v1.2/os/spec/DITA1.2-spec.html","identifier":819,"description":"The Darwin Information Typing Architecture (DITA) 1.2 is a standard for writing, representing as well as defining the topic information in a variety of document types.","abbreviation":"DITA","year_creation":2010},"legacy_ids":["bsg-001237","bsg-s001237"],"name":"FAIRsharing record for: Darwin Information Typing Architecture","abbreviation":"DITA","url":"https://fairsharing.org/10.25504/FAIRsharing.6bd353","doi":"10.25504/FAIRsharing.6bd353","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Darwin Information Typing Architecture (DITA) 1.2 is a standard for writing, representing as well as defining the topic information in a variety of document types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6212,"fairsharing_record_id":819,"organisation_id":2266,"relation":"maintains","created_at":"2021-09-30T09:27:52.730Z","updated_at":"2021-09-30T09:27:52.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":2266,"name":"Open Standards for Information Society (OASIS)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6213,"fairsharing_record_id":819,"organisation_id":1525,"relation":"maintains","created_at":"2021-09-30T09:27:52.761Z","updated_at":"2021-09-30T09:27:52.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"820","type":"fairsharing_records","attributes":{"created_at":"2018-10-14T09:35:48.000Z","updated_at":"2022-07-20T09:05:44.423Z","metadata":{"doi":"10.25504/FAIRsharing.667cc3","name":"AS/NZS ISO 19115.1:2015 Metadata","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"spatial@pmc.gov.au"},{"contact_name":"Australia New Zealand Metadata Working Group (ANZMWG)","contact_email":"anz_mdwg@ga.gov.au","contact_orcid":null}],"homepage":"https://www.anzlic.gov.au/resources/asnzs-iso-1911512015-metadata","citations":[],"identifier":820,"description":"The AS/NZS ISO 19115.1:2015 metadata standard (including the 2018 Amendment No.1) extends ISO 19115-1. ANZLIC provides an extension for this metadata standard specific to the Australian and New Zealand geo-spatial region. ","abbreviation":null,"support_links":[{"url":"https://www.anzlic.gov.au/sites/default/files/files/2015_metadata_profile_guidelines_standard.pdf","name":"2016 Metadata Guidelines Standard","type":"Help documentation"},{"url":"https://icsm-au.github.io/metadata-working-group/","name":"Best Practice Guide","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"https://www.ga.gov.au/data-pubs/datastandards/cataloguestandard/metadata-profile-validator","name":"Metadata Validator"}]},"legacy_ids":["bsg-001325","bsg-s001325"],"name":"FAIRsharing record for: AS/NZS ISO 19115.1:2015 Metadata","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.667cc3","doi":"10.25504/FAIRsharing.667cc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AS/NZS ISO 19115.1:2015 metadata standard (including the 2018 Amendment No.1) extends ISO 19115-1. ANZLIC provides an extension for this metadata standard specific to the Australian and New Zealand geo-spatial region. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geology","Ecology","Earth Science","Freshwater Science"],"domains":["Resource metadata","Marine environment","Transport"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Metadata standardization","Natural Resources, Earth and Environment"],"countries":["Australia","New Zealand"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":689,"relation":"undefined"}],"grants":[{"id":9679,"fairsharing_record_id":820,"organisation_id":3599,"relation":"maintains","created_at":"2022-07-15T16:47:12.043Z","updated_at":"2022-07-15T16:47:12.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":3599,"name":"The Spatial Information Council (ANZLIC)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6214,"fairsharing_record_id":820,"organisation_id":138,"relation":"maintains","created_at":"2021-09-30T09:27:52.787Z","updated_at":"2021-09-30T09:27:52.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":138,"name":"Australian Department of Industry, innovation and Science","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"821","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T09:38:25.000Z","updated_at":"2022-04-11T12:07:29.361Z","metadata":{"name":"Web3 Unique Representation of Carbohydrate Structures","status":"in_development","contacts":[{"contact_name":"Issaku Yamada","contact_email":"issaku@noguchi.or.jp","contact_orcid":"0000-0001-9504-189X"}],"homepage":"http://www.wurcs-wg.org","identifier":821,"description":"The Web3 Unique Representation of Carbohydrate Structures (WURCS) defines a generalizable and unique linear representation for carbohydrate structures. A recent update (WURCS 2.0) was created to handle structural ambiguity around (potential) carbonyl groups incidental to the carbohydrate analysis. WURCS 2.0 can represent a wider variety of carbohydrate structures containing ambiguous monosaccharides, such as those whose ring closure is undefined or whose anomeric information is only known.","abbreviation":"WURCS","year_creation":2014,"associated_tools":[{"url":"http://www.wurcs-wg.org/software.php","name":"Available Software"}]},"legacy_ids":["bsg-001356","bsg-s001356"],"name":"FAIRsharing record for: Web3 Unique Representation of Carbohydrate Structures","abbreviation":"WURCS","url":"https://fairsharing.org/fairsharing_records/821","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Web3 Unique Representation of Carbohydrate Structures (WURCS) defines a generalizable and unique linear representation for carbohydrate structures. A recent update (WURCS 2.0) was created to handle structural ambiguity around (potential) carbonyl groups incidental to the carbohydrate analysis. WURCS 2.0 can represent a wider variety of carbohydrate structures containing ambiguous monosaccharides, such as those whose ring closure is undefined or whose anomeric information is only known.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry"],"domains":["Chemical formula","Molecular structure","Carbohydrate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2009,"pubmed_id":24897372,"title":"WURCS: the Web3 unique representation of carbohydrate structures.","year":2014,"url":"http://doi.org/10.1021/ci400571e","authors":"Tanaka K,Aoki-Kinoshita KF,Kotera M,Sawaki H,Tsuchiya S,Fujita N,Shikanai T,Kato M,Kawano S,Yamada I,Narimatsu H","journal":"J Chem Inf Model","doi":"10.1021/ci400571e","created_at":"2021-09-30T08:26:06.298Z","updated_at":"2021-09-30T08:26:06.298Z"},{"id":2017,"pubmed_id":28263066,"title":"WURCS 2.0 Update To Encapsulate Ambiguous Carbohydrate Structures.","year":2017,"url":"http://doi.org/10.1021/acs.jcim.6b00650","authors":"Matsubara M,Aoki-Kinoshita KF,Aoki NP,Yamada I,Narimatsu H","journal":"J Chem Inf Model","doi":"10.1021/acs.jcim.6b00650","created_at":"2021-09-30T08:26:07.234Z","updated_at":"2021-09-30T08:26:07.234Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1426,"relation":"undefined"}],"grants":[{"id":6215,"fairsharing_record_id":821,"organisation_id":2813,"relation":"maintains","created_at":"2021-09-30T09:27:52.824Z","updated_at":"2021-09-30T09:27:52.824Z","grant_id":null,"is_lead":false,"saved_state":{"id":2813,"name":"The Noguchi Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6217,"fairsharing_record_id":821,"organisation_id":2591,"relation":"maintains","created_at":"2021-09-30T09:27:52.933Z","updated_at":"2021-09-30T09:27:52.933Z","grant_id":null,"is_lead":false,"saved_state":{"id":2591,"name":"Soka University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6218,"fairsharing_record_id":821,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:27:52.974Z","updated_at":"2021-09-30T09:27:52.974Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9308,"fairsharing_record_id":821,"organisation_id":2007,"relation":"maintains","created_at":"2022-04-11T12:07:29.348Z","updated_at":"2022-04-11T12:07:29.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"772","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-03-22T14:49:20.471Z","metadata":{"doi":"10.25504/FAIRsharing.2787qk","name":"Ciona intestinalis Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"contact@bioself-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage","citations":[],"identifier":772,"description":"The first ontology describing the anatomy and the development of Ciona intestinalis, based on the Hotta developmental table.","abbreviation":"CIINTEADO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIINTEADO","name":"CIINTEADO","portal":"BioPortal"}]},"legacy_ids":["bsg-000895","bsg-s000895"],"name":"FAIRsharing record for: Ciona intestinalis Anatomy and Development Ontology","abbreviation":"CIINTEADO","url":"https://fairsharing.org/10.25504/FAIRsharing.2787qk","doi":"10.25504/FAIRsharing.2787qk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Ciona intestinalis, based on the Hotta developmental table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Cell","Life cycle","Life cycle stage"],"taxonomies":["Ciona intestinalis"],"user_defined_tags":["Morphogenesis"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":10442,"fairsharing_record_id":772,"organisation_id":1974,"relation":"funds","created_at":"2023-03-22T14:48:34.946Z","updated_at":"2023-03-22T14:48:34.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"774","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-13T13:26:02.326Z","metadata":{"doi":"10.25504/FAIRsharing.7k29h0","name":"Holistic Ontology of Rare Diseases","status":"ready","contacts":[{"contact_name":"Laia Subirats","contact_email":"laia.subirats@gmail.com"}],"homepage":"https://sites.google.com/site/laiasubirats","citations":[],"identifier":774,"description":"This ontology describes the bio-psico-social state of a person of rare diseses in a holistic way. It considers several contents such as disease, psychological, social, environmental state of the person.","abbreviation":"HORD","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HORD","name":"HORD","portal":"BioPortal"}]},"legacy_ids":["bsg-000897","bsg-s000897"],"name":"FAIRsharing record for: Holistic Ontology of Rare Diseases","abbreviation":"HORD","url":"https://fairsharing.org/10.25504/FAIRsharing.7k29h0","doi":"10.25504/FAIRsharing.7k29h0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology describes the bio-psico-social state of a person of rare diseses in a holistic way. It considers several contents such as disease, psychological, social, environmental state of the person.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Primary Health Care"],"domains":["Rare disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"776","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2023-03-15T07:48:21.622Z","metadata":{"doi":"10.25504/FAIRsharing.q053vb","name":"MFO Mental Disease Ontology","status":"ready","contacts":[{"contact_name":"Janna Hastings","contact_email":"janna.hastings@gmail.com"}],"homepage":"https://github.com/jannahastings/mental-functioning-ontology","citations":[],"identifier":776,"description":"An ontology to describe and classify mental diseases such as schizophrenia, annotated with DSM-IV and ICD codes where applicable.","abbreviation":"MFOMD","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MFOMD","name":"MFOMD","portal":"BioPortal"}]},"legacy_ids":["bsg-000922","bsg-s000922"],"name":"FAIRsharing record for: MFO Mental Disease Ontology","abbreviation":"MFOMD","url":"https://fairsharing.org/10.25504/FAIRsharing.q053vb","doi":"10.25504/FAIRsharing.q053vb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology to describe and classify mental diseases such as schizophrenia, annotated with DSM-IV and ICD codes where applicable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Psychiatry"],"domains":["Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"777","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2021-11-24T13:14:23.257Z","metadata":{"doi":"10.25504/FAIRsharing.w2mrnx","name":"Computer Assisted Brain Injury Rehabilitation Ontology","status":"ready","contacts":[{"contact_name":"Dimitrios Zikos","contact_email":"dimitriszikos@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/CABRO","citations":[{"pubmed_id":23823389,"publication_id":2218}],"identifier":777,"description":"CABRO is a web ontology for the semantic representation of the computer assisted brain trauma rehabilitation domain. This research area employs the use of robotic devices, adaptation software and machine learning to facilitate interactive, adaptive and personalized rehabilitation care, patient monitoring and assisted living.","abbreviation":"CABRO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CABRO","name":"CABRO","portal":"BioPortal"}]},"legacy_ids":["bsg-000901","bsg-s000901"],"name":"FAIRsharing record for: Computer Assisted Brain Injury Rehabilitation Ontology","abbreviation":"CABRO","url":"https://fairsharing.org/10.25504/FAIRsharing.w2mrnx","doi":"10.25504/FAIRsharing.w2mrnx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CABRO is a web ontology for the semantic representation of the computer assisted brain trauma rehabilitation domain. This research area employs the use of robotic devices, adaptation software and machine learning to facilitate interactive, adaptive and personalized rehabilitation care, patient monitoring and assisted living.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Monitoring","Brain","Injury"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2218,"pubmed_id":23823389,"title":"A web ontology for brain trauma patient computer-assisted rehabilitation.","year":2013,"url":"https://www.ncbi.nlm.nih.gov/pubmed/23823389","authors":"Zikos D,Galatas G,Metsis V,Makedon F","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:26:29.948Z","updated_at":"2021-09-30T08:26:29.948Z"}],"licence_links":[],"grants":[{"id":6167,"fairsharing_record_id":777,"organisation_id":695,"relation":"maintains","created_at":"2021-09-30T09:27:51.023Z","updated_at":"2021-09-30T09:27:51.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":695,"name":"Department of Computer Science and Engineering, University of Texas Arlington, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"778","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2021-11-24T13:18:41.202Z","metadata":{"doi":"10.25504/FAIRsharing.w8g777","name":"Human Interaction Network Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.hegroup.org/onenettheory.html","identifier":778,"description":"The Human Interaction Network Ontology (HINO) is an INO extension for the domain of human interaction networks. It has incorporated Reactome reactions and pathways. Like INO, HINO aligns with BFO. HINO is developed following the OBO Foundry principles. Please note that the homepage listed is an indirect homepage only, as no project-specific homepage could be found.","abbreviation":"HINO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HINO","name":"HINO","portal":"BioPortal"}]},"legacy_ids":["bsg-000898","bsg-s000898"],"name":"FAIRsharing record for: Human Interaction Network Ontology","abbreviation":"HINO","url":"https://fairsharing.org/10.25504/FAIRsharing.w8g777","doi":"10.25504/FAIRsharing.w8g777","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Interaction Network Ontology (HINO) is an INO extension for the domain of human interaction networks. It has incorporated Reactome reactions and pathways. Like INO, HINO aligns with BFO. HINO is developed following the OBO Foundry principles. Please note that the homepage listed is an indirect homepage only, as no project-specific homepage could be found.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Network model","Molecular interaction","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":737,"pubmed_id":null,"title":"HINO: a BFO-aligned ontology representing human molecular interactions and pathways","year":2013,"url":"https://dev.arxiv.org/abs/1311.3355","authors":"Yongqun He, Zoushuang Xiang","journal":"arXiv","doi":null,"created_at":"2021-09-30T08:23:41.192Z","updated_at":"2021-09-30T11:29:51.837Z"}],"licence_links":[],"grants":[{"id":6168,"fairsharing_record_id":778,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:51.065Z","updated_at":"2021-09-30T09:27:51.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"779","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T21:16:54.000Z","updated_at":"2022-11-01T11:56:43.880Z","metadata":{"doi":"10.25504/FAIRsharing.o8TYnW","name":"FAIR Metrics - Resource Identifier in Metadata","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://purl.org/fair-metrics/FM_F3","citations":[],"identifier":779,"description":"FM-F3 provides a measurement of whether or not the metadata document contains the globally unique and persistent identifier for the digital resource. The discovery of a digital object should be possible from its metadata. For this to happen, the metadata must explicitly contain the identifier for the digital resource it describes. In addition, since many digital objects cannot be arbitrarily extended to include references to their metadata, in many cases the only means to discover the metadata related to a digital object will be to search based on the GUID of the digital object itself. To this end, the GUID of the metadata and the GUID of the digital resource it describes must be provided. This metric applies to part F3 of the FAIR Principles.","abbreviation":"FM-F3","support_links":[{"url":"https://github.com/FAIRMetrics/Metrics","name":"General Information on FAIR Metrics","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001345","bsg-s001345"],"name":"FAIRsharing record for: FAIR Metrics - Resource Identifier in Metadata","abbreviation":"FM-F3","url":"https://fairsharing.org/10.25504/FAIRsharing.o8TYnW","doi":"10.25504/FAIRsharing.o8TYnW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FM-F3 provides a measurement of whether or not the metadata document contains the globally unique and persistent identifier for the digital resource. The discovery of a digital object should be possible from its metadata. For this to happen, the metadata must explicitly contain the identifier for the digital resource it describes. In addition, since many digital objects cannot be arbitrarily extended to include references to their metadata, in many cases the only means to discover the metadata related to a digital object will be to search based on the GUID of the digital object itself. To this end, the GUID of the metadata and the GUID of the digital resource it describes must be provided. This metric applies to part F3 of the FAIR Principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"metric","subjects":["Data Governance"],"domains":["Resource metadata","Data identity and mapping","Centrally registered identifier","Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[{"id":2016,"pubmed_id":null,"title":"A design framework and exemplar metrics for FAIRness","year":2017,"url":"https://doi.org/10.1101/225490","authors":"Mark D Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:26:07.120Z","updated_at":"2021-09-30T11:28:40.573Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1411,"relation":"undefined"}],"grants":[{"id":6169,"fairsharing_record_id":779,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:51.106Z","updated_at":"2021-09-30T09:27:51.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6170,"fairsharing_record_id":779,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:51.144Z","updated_at":"2021-09-30T09:27:51.144Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6171,"fairsharing_record_id":779,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:51.177Z","updated_at":"2021-09-30T09:27:51.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6172,"fairsharing_record_id":779,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:51.220Z","updated_at":"2021-09-30T09:27:51.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"780","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T10:30:45.000Z","updated_at":"2022-12-14T08:18:32.816Z","metadata":{"doi":"10.25504/FAIRsharing.ochiOn","name":"IVOA Standard for Unified Content Descriptors","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/UCD.html","citations":[{"publication_id":2964}],"identifier":780,"description":"The IVOA Standard for Unified Content Descriptors document describes the current understanding of the IVOA controlled vocabulary for describing astronomical data quantities, called Unified Content Descriptors (UCDs). The present document defines a new standard (named UCD1+) improving the first generation of UCDs (UCD1). The basic idea is to adopt a new syntax and vocabulary requiring little effort for people to adapt software already using UCD1. This document also addresses the questions of maintenance and evolution of the UCD1+. Examples of use cases within the Virtual Observatory and tools for using UCD1+ are also described.","abbreviation":"IVOA UCD","support_links":[{"url":"http://www.ivoa.net/Documents/REC/UCD/UCD-20050812.html","name":"View Standard","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-001205","bsg-s001205"],"name":"FAIRsharing record for: IVOA Standard for Unified Content Descriptors","abbreviation":"IVOA UCD","url":"https://fairsharing.org/10.25504/FAIRsharing.ochiOn","doi":"10.25504/FAIRsharing.ochiOn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA Standard for Unified Content Descriptors document describes the current understanding of the IVOA controlled vocabulary for describing astronomical data quantities, called Unified Content Descriptors (UCDs). The present document defines a new standard (named UCD1+) improving the first generation of UCDs (UCD1). The basic idea is to adopt a new syntax and vocabulary requiring little effort for people to adapt software already using UCD1. This document also addresses the questions of maintenance and evolution of the UCD1+. Examples of use cases within the Virtual Observatory and tools for using UCD1+ are also described.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11462}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2964,"pubmed_id":null,"title":"An IVOA Standard for Unified Content Descriptors Version 1.10","year":2005,"url":"http://dx.doi.org/10.5479/ADS/bib/2005ivoa.spec.0819D","authors":"Derriere, Sébastien; Preite Martinez, Andrea; Williams, Roy; Gray, Norman; Mann, Robert; McDowell, Jonathan; Mc Glynn, Thomas; Ochsenbein, François; Osuna, Pedro; Rixon, Guy","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.258Z","updated_at":"2021-09-30T08:28:05.258Z"}],"licence_links":[],"grants":[{"id":6173,"fairsharing_record_id":780,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:51.256Z","updated_at":"2021-09-30T09:27:51.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6174,"fairsharing_record_id":780,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:27:51.297Z","updated_at":"2021-09-30T09:27:51.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"784","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T10:18:24.000Z","updated_at":"2022-12-14T08:18:43.697Z","metadata":{"doi":"10.25504/FAIRsharing.ZZZvAw","name":"Units in the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOUnits/index.html","citations":[{"publication_id":2963}],"identifier":784,"description":"VOUnits is a recommended syntax for writing the string representation of unit labels. In addition, it describes a set of recognised and deprecated units, which is as far as possible consistent with other relevant standards (BIPM, ISO/IEC and the IAU). The intention is that units written to conform to this specification will likely also be parsable by other well-known parsers. To this end, we include machine-readable grammars for other units syntaxes.","abbreviation":"VOUnits","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOUnitsNext","name":"VOUnits Next Steps (Wiki)","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-001204","bsg-s001204"],"name":"FAIRsharing record for: Units in the Virtual Observatory","abbreviation":"VOUnits","url":"https://fairsharing.org/10.25504/FAIRsharing.ZZZvAw","doi":"10.25504/FAIRsharing.ZZZvAw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOUnits is a recommended syntax for writing the string representation of unit labels. In addition, it describes a set of recognised and deprecated units, which is as far as possible consistent with other relevant standards (BIPM, ISO/IEC and the IAU). The intention is that units written to conform to this specification will likely also be parsable by other well-known parsers. To this end, we include machine-readable grammars for other units syntaxes.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11483}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":["Unit"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2963,"pubmed_id":null,"title":"Units in the VO Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.0523D","authors":"Derriere, Sebastien; Gray, Norman; Demleitner, Markus; Louys, Mireille; Ochsenbein, Francois","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.142Z","updated_at":"2021-09-30T08:28:05.142Z"}],"licence_links":[],"grants":[{"id":6184,"fairsharing_record_id":784,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:27:51.642Z","updated_at":"2021-09-30T09:27:51.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6185,"fairsharing_record_id":784,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:27:51.668Z","updated_at":"2021-09-30T09:27:51.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"785","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-14T17:03:57.331Z","metadata":{"doi":"10.25504/FAIRsharing.jpxsv1","name":"Microbial Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"shuichi.kawashima@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/MPO","citations":[],"identifier":785,"description":"An ontology for describing microbial phenotypes","abbreviation":"MPO","year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MPO","name":"MPO","portal":"BioPortal"}]},"legacy_ids":["bsg-000904","bsg-s000904"],"name":"FAIRsharing record for: Microbial Phenotype Ontology","abbreviation":"MPO","url":"https://fairsharing.org/10.25504/FAIRsharing.jpxsv1","doi":"10.25504/FAIRsharing.jpxsv1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing microbial phenotypes","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Microbiology"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"787","type":"fairsharing_records","attributes":{"created_at":"2020-04-27T13:50:43.000Z","updated_at":"2022-07-20T11:19:05.382Z","metadata":{"doi":"10.25504/FAIRsharing.eff3b2","name":"Global Genome Biodiversity Network Data Standard","status":"ready","contacts":[{"contact_name":"G. Droege","contact_email":"g.droege@bgbm.org"}],"homepage":"https://wiki.ggbn.org/ggbn/GGBN_Data_Standard","citations":[{"doi":"10.1093/database/baw125","pubmed_id":27694206,"publication_id":2904}],"identifier":787,"description":"The GGBN Data Standard is a set of terms and controlled vocabularies designed to represent sample facts. It does not cover e.g., scientific name, geography, or physiological facts. This allows combining the GGBN Data Standard with other complementary standards, such as DwC, ABCD or MIxS. Potentially, the standard can be used not only for non-human genomic samples but also human samples. It builds upon existing standards commonly used within the communities extending them with the capability to exchange data on tissue, environmental and DNA sample as well as sequences. The GGBN Data Standard is intended to be used with ABCD or Darwin Core and is not a stand-alone solution. It is intended to replace the DNA extension for Access to Biological Collection Data (ABCDDNA), however that specification has not been formally deprecated.","abbreviation":"GGBN","support_links":[{"url":"https://www.tdwg.org/standards/ggbn/","name":"TDWG GGBN Page","type":"Help documentation"},{"url":"https://terms.tdwg.org/wiki/GGBN_Data_Standard","name":"GGBN: Discussions and Updates","type":"Help documentation"},{"url":"https://wiki.ggbn.org/ggbn/Mandatory_and_recommended_fields_for_sharing_data_with_GGBN","name":"Mandatory and Recommended Fields","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001472","bsg-s001472"],"name":"FAIRsharing record for: Global Genome Biodiversity Network Data Standard","abbreviation":"GGBN","url":"https://fairsharing.org/10.25504/FAIRsharing.eff3b2","doi":"10.25504/FAIRsharing.eff3b2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GGBN Data Standard is a set of terms and controlled vocabularies designed to represent sample facts. It does not cover e.g., scientific name, geography, or physiological facts. This allows combining the GGBN Data Standard with other complementary standards, such as DwC, ABCD or MIxS. Potentially, the standard can be used not only for non-human genomic samples but also human samples. It builds upon existing standards commonly used within the communities extending them with the capability to exchange data on tissue, environmental and DNA sample as well as sequences. The GGBN Data Standard is intended to be used with ABCD or Darwin Core and is not a stand-alone solution. It is intended to replace the DNA extension for Access to Biological Collection Data (ABCDDNA), however that specification has not been formally deprecated.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12284},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12289},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12558},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14018},{"linking_record_name":"Biological Collection Access Service","linking_record_id":4209,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14915},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16034}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Biodiversity"],"domains":["Biological sample annotation","Biological sample","Genome","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2904,"pubmed_id":27694206,"title":"The Global Genome Biodiversity Network (GGBN) Data Standard specification.","year":2016,"url":"http://doi.org/10.1093/database/baw125","authors":"Droege G,Barker K,Seberg O,Coddington J,Benson E,Berendsohn WG,Bunk B,Butler C,Cawsey EM,Deck J,Doring M,Flemons P,Gemeinholzer B,Guntsch A,Hollowell T,Kelbert P,Kostadinov I,Kottmann R,Lawlor RT,Lyal C,Mackenzie-Dodds J,Meyer C,Mulcahy D,Nussbeck SY,O'Tuama E,Orrell T,Petersen G,Robertson T,Sohngen C,Whitacre J,Wieczorek J,Yilmaz P,Zetzsche H,Zhang Y,Zhou X","journal":"Database (Oxford)","doi":"10.1093/database/baw125","created_at":"2021-09-30T08:27:57.599Z","updated_at":"2021-09-30T08:27:57.599Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":775,"relation":"undefined"}],"grants":[{"id":8804,"fairsharing_record_id":787,"organisation_id":302,"relation":"associated_with","created_at":"2022-02-10T10:53:49.102Z","updated_at":"2022-02-10T10:53:49.102Z","grant_id":null,"is_lead":false,"saved_state":{"id":302,"name":"Botanic Garden and Botanical Museum Berlin-Dahlem (BGBM), Germany","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":6186,"fairsharing_record_id":787,"organisation_id":1172,"relation":"maintains","created_at":"2021-09-30T09:27:51.697Z","updated_at":"2021-09-30T09:27:51.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":1172,"name":"Global Genome Biodiversity Network (GGBN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"788","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2023-03-14T17:18:49.654Z","metadata":{"doi":"10.25504/FAIRsharing.4yrcbc","name":"FISH Archaeological Sciences Thesaurus","status":"ready","contacts":[{"contact_name":"Michelle","contact_email":"futo@stanford.edu"}],"homepage":"http://heritagedata.org/live/schemes/560.html","citations":[],"identifier":788,"description":"Terminology used for recording the techniques, recovery methods and materials associated with archaeological sciences. Maintained by Historic England on behalf of the FISH Terminology Working Group.","abbreviation":"FISH-AST","support_links":[],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FISH-AST","name":"FISH-AST","portal":"BioPortal"}]},"legacy_ids":["bsg-000906","bsg-s000906"],"name":"FAIRsharing record for: FISH Archaeological Sciences Thesaurus","abbreviation":"FISH-AST","url":"https://fairsharing.org/10.25504/FAIRsharing.4yrcbc","doi":"10.25504/FAIRsharing.4yrcbc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology used for recording the techniques, recovery methods and materials associated with archaeological sciences. Maintained by Historic England on behalf of the FISH Terminology Working Group.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Archaeology","Mineralogy"],"domains":["Microscopy"],"taxonomies":["All"],"user_defined_tags":["Soil pH"],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":3125,"relation":"applies_to_content"}],"grants":[{"id":10412,"fairsharing_record_id":788,"organisation_id":1251,"relation":"maintains","created_at":"2023-03-14T17:13:26.035Z","updated_at":"2023-03-14T17:15:15.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":1251,"name":"Historic England, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"789","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T13:18:59.000Z","updated_at":"2022-07-20T11:16:10.366Z","metadata":{"doi":"10.25504/FAIRsharing.XuvIC0","name":"Open Provenance Model for Workflows Ontology","status":"ready","contacts":[{"contact_name":"Daniel Garijo","contact_email":"dgarijo@isi.edu"}],"homepage":"https://www.opmw.org/","identifier":789,"description":"OPMW is an ontology for describing workflows based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). Since the publication of the PROV-O standard, the ontology also extends the W3C recommendation. The OPMW profile was originally created as an extension of OPM to represent abstract workflows in addition to workflow execution traces. This requirement was motivated by the goal of publishing workflows of scientific articles.","abbreviation":"OPMW-PROV","support_links":[{"url":"gil@isi.edu","name":"Yolanda Gil","type":"Support email"},{"url":"https://www.opmw.org/model/OPMW/","name":"Specification","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001435","bsg-s001435"],"name":"FAIRsharing record for: Open Provenance Model for Workflows Ontology","abbreviation":"OPMW-PROV","url":"https://fairsharing.org/10.25504/FAIRsharing.XuvIC0","doi":"10.25504/FAIRsharing.XuvIC0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OPMW is an ontology for describing workflows based on the Open Provenance Model. It has been designed as a profile for OPM, extending and reusing OPM's core ontologies OPMV (OPM-Vocabulary) and OPMO (OPM-Ontology). Since the publication of the PROV-O standard, the ontology also extends the W3C recommendation. The OPMW profile was originally created as an extension of OPM to represent abstract workflows in addition to workflow execution traces. This requirement was motivated by the goal of publishing workflows of scientific articles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6187,"fairsharing_record_id":789,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:27:51.736Z","updated_at":"2021-09-30T09:27:51.736Z","grant_id":null,"is_lead":true,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"802","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2023-03-14T16:38:50.245Z","metadata":{"doi":"10.25504/FAIRsharing.a4ww64","name":"The Ecosystem Ontology","status":"ready","contacts":[{"contact_name":"Bryce Mecum","contact_email":"mecum@nceas.ucsb.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/ECSO","citations":[],"identifier":802,"description":"DataONE ontology of Carbon Flux measurements for MsTMIP and LTER Use Cases","abbreviation":"ECSO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ECSO","name":"ECSO","portal":"BioPortal"}]},"legacy_ids":["bsg-000924","bsg-s000924"],"name":"FAIRsharing record for: The Ecosystem Ontology","abbreviation":"ECSO","url":"https://fairsharing.org/10.25504/FAIRsharing.a4ww64","doi":"10.25504/FAIRsharing.a4ww64","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DataONE ontology of Carbon Flux measurements for MsTMIP and LTER Use Cases","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10408,"fairsharing_record_id":802,"organisation_id":3036,"relation":"undefined","created_at":"2023-03-14T16:38:39.594Z","updated_at":"2023-03-14T16:38:39.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":3036,"name":"University of California Santa Barbara, CA","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"804","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-02-21T10:35:49.537Z","metadata":{"doi":"10.25504/FAIRsharing.c6vhm3","name":"Human Developmental Stages Ontology","status":"ready","contacts":[{"contact_name":"Frédéric Bastian","contact_email":"frederic.bastian@unil.ch","contact_orcid":null}],"homepage":"https://obofoundry.org/ontology/hsapdv.html","citations":[],"identifier":804,"description":"Life cycle stages for Human. HsapDv was developed by the Bgee group with assistance from the core Uberon developers and the Human developmental anatomy ontology (EHDAA2) developers. Currently it includes both embryonic (Carnegie) stages and adult stages.","abbreviation":"HSAPDV","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies/wiki/HsapDv","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HSAPDV","name":"HSAPDV in BioPortal","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/hsapdv.html","name":"hsapdv in OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001074","bsg-s001074"],"name":"FAIRsharing record for: Human Developmental Stages Ontology","abbreviation":"HSAPDV","url":"https://fairsharing.org/10.25504/FAIRsharing.c6vhm3","doi":"10.25504/FAIRsharing.c6vhm3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Human. HsapDv was developed by the Bgee group with assistance from the core Uberon developers and the Human developmental anatomy ontology (EHDAA2) developers. Currently it includes both embryonic (Carnegie) stages and adult stages.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":3099,"relation":"applies_to_content"}],"grants":[{"id":10370,"fairsharing_record_id":804,"organisation_id":3597,"relation":"maintains","created_at":"2023-02-21T10:14:15.514Z","updated_at":"2023-02-21T10:14:15.514Z","grant_id":null,"is_lead":true,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"805","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2021-12-08T11:27:06.820Z","metadata":{"doi":"10.25504/FAIRsharing.rnckxp","name":"Biodiversity Ontology","status":"deprecated","contacts":[{"contact_name":"Franco","contact_email":"francolamping@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/BOF","citations":[],"identifier":805,"description":"An ontology of biodiversity of INPA, available via BioPortal.","abbreviation":"BOF","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BOF","name":"BOF","portal":"BioPortal"}],"deprecation_date":"2021-12-07","deprecation_reason":"This resource has not been updated in BioPortal, and no homepage for the resource can be found. Please let us know if you have any information about this resource."},"legacy_ids":["bsg-001076","bsg-s001076"],"name":"FAIRsharing record for: Biodiversity Ontology","abbreviation":"BOF","url":"https://fairsharing.org/10.25504/FAIRsharing.rnckxp","doi":"10.25504/FAIRsharing.rnckxp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of biodiversity of INPA, available via BioPortal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"807","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-03-13T09:23:11.748Z","metadata":{"doi":"10.25504/FAIRsharing.szexty","name":"insectH","status":"ready","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/INSECTH","citations":[],"identifier":807,"description":"NeuroMorpho.Org insect brain regions ontology is compiled to create data annotation standard for depositing insect data. Currently at v6.2, NeuroMorpho.Org hosts over 17k neuronal reconstructions mostly from the fly. The insect ontology follows the standard nomenclature of the insect brain (Ito et al., 2013) and the virtualfly.org.","abbreviation":"INSECTH","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/INSECTH","name":"INSECTH","portal":"BioPortal"}]},"legacy_ids":["bsg-001079","bsg-s001079"],"name":"FAIRsharing record for: insectH","abbreviation":"INSECTH","url":"https://fairsharing.org/10.25504/FAIRsharing.szexty","doi":"10.25504/FAIRsharing.szexty","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeuroMorpho.Org insect brain regions ontology is compiled to create data annotation standard for depositing insect data. Currently at v6.2, NeuroMorpho.Org hosts over 17k neuronal reconstructions mostly from the fly. The insect ontology follows the standard nomenclature of the insect brain (Ito et al., 2013) and the virtualfly.org.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Entomology"],"domains":[],"taxonomies":["All","Insecta"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"808","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-03-16T18:12:22.719Z","metadata":{"doi":"10.25504/FAIRsharing.k008w7","name":"Human Dermatological Disease Ontology","status":"ready","contacts":[{"contact_name":"Paul Schofield","contact_email":"pns12@cam.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/DERMO","citations":[{"doi":"10.1186/s13326-016-0085-x","pubmed_id":27296450,"publication_id":3798}],"identifier":808,"description":"DermO is an Ontology of cutaneous disease, constructed manually by domain experts. With more than 3000 terms, DermO represents the most comprehensive formal dermatological disease terminology available. The disease entities are categorized in 20 upper level terms, which use a variety of features such as anatomical location, heritability, affected cell or tissue type, or etiology, as the features for classification, in line with professional practice and nosology in dermatology.","abbreviation":"DERMO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DERMO","name":"DERMO","portal":"BioPortal"}]},"legacy_ids":["bsg-001082","bsg-s001082"],"name":"FAIRsharing record for: Human Dermatological Disease Ontology","abbreviation":"DERMO","url":"https://fairsharing.org/10.25504/FAIRsharing.k008w7","doi":"10.25504/FAIRsharing.k008w7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DermO is an Ontology of cutaneous disease, constructed manually by domain experts. With more than 3000 terms, DermO represents the most comprehensive formal dermatological disease terminology available. The disease entities are categorized in 20 upper level terms, which use a variety of features such as anatomical location, heritability, affected cell or tissue type, or etiology, as the features for classification, in line with professional practice and nosology in dermatology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Dermatology"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[{"id":3798,"pubmed_id":27296450,"title":"DermO; an ontology for the description of dermatologic disease.","year":2016,"url":"https://doi.org/10.1186/s13326-016-0085-x","authors":"Fisher HM, Hoehndorf R, Bazelato BS, Dadras SS, King LE Jr, Gkoutos GV, Sundberg JP, Schofield PN","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-016-0085-x","created_at":"2023-03-16T06:57:32.387Z","updated_at":"2023-03-16T06:57:32.387Z"}],"licence_links":[],"grants":[{"id":10419,"fairsharing_record_id":808,"organisation_id":349,"relation":"undefined","created_at":"2023-03-16T06:56:29.916Z","updated_at":"2023-03-16T06:56:29.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":349,"name":"Cambridge Institute for Medical Research, University of Cambridge","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"810","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:54:05.022Z","metadata":{"doi":"10.25504/FAIRsharing.6xfgaq","name":"VIVO Ontology","status":"ready","contacts":[{"contact_name":"Mike Conlon","contact_email":"mconlon@ufl.edu"}],"homepage":"https://wiki.lyrasis.org/display/VIVODOC111x/Ontology+Reference","identifier":810,"description":"The VIVO Ontology provides a set of concepts to represent researchers and the full context in which they work. It is used as part of the VIVO project, which uses a collection of ontologies to represent scholarship.","abbreviation":"VIVO","support_links":[{"url":"info@lyrasis.org","name":"General Information Contact","type":"Support email"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/VIVO+Ontology+Domain+Definition","name":"Ontology Domain Information","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/Source+ontologies+for+VIVO","name":"Source Ontologies","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/VIVO+Classes","name":"About VIVO Classes","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC111x/VIVO+Object+Properties","name":"About VIVO Object Properties","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VIVO","name":"VIVO","portal":"BioPortal"}]},"legacy_ids":["bsg-000921","bsg-s000921"],"name":"FAIRsharing record for: VIVO Ontology","abbreviation":"VIVO","url":"https://fairsharing.org/10.25504/FAIRsharing.6xfgaq","doi":"10.25504/FAIRsharing.6xfgaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VIVO Ontology provides a set of concepts to represent researchers and the full context in which they work. It is used as part of the VIVO project, which uses a collection of ontologies to represent scholarship.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science"],"domains":["Resource metadata","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":508,"relation":"undefined"}],"grants":[{"id":6198,"fairsharing_record_id":810,"organisation_id":3194,"relation":"maintains","created_at":"2021-09-30T09:27:52.166Z","updated_at":"2021-09-30T09:27:52.166Z","grant_id":null,"is_lead":true,"saved_state":{"id":3194,"name":"VIVO Ontology Interest Group, VIVO Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6199,"fairsharing_record_id":810,"organisation_id":1738,"relation":"maintains","created_at":"2021-09-30T09:27:52.207Z","updated_at":"2021-09-30T09:27:52.207Z","grant_id":null,"is_lead":false,"saved_state":{"id":1738,"name":"Lyrasis, Atlanta, GA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"781","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:51:42.093Z","metadata":{"doi":"10.25504/FAIRsharing.rf4pmz","name":"Ontology for Systems Chemical Biology and Chemogenomics","status":"deprecated","contacts":[{"contact_name":"Bin Chen","contact_email":"binchen@indiana.edu"}],"homepage":"http://cheminfov.informatics.indiana.edu:8080/c2b2r/","citations":[],"identifier":781,"description":"Chem2Bio2RDF has been created by aggregating data from multiple chemogenomics repositories and is cross-linked into Bio2RDF and LODD. There is also a linked-path generation tool to facilitate SPARQL query generation, and have created extended SPARQL functions to address specific chemical/biological search needs. Chem2Bio2RDF can be used to investigate polypharmacology, identification of potential multiple pathway inhibitors, and the association of pathways with adverse drug reactions. ","abbreviation":"Chem2Bio2RDF","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEMBIO","name":"CHEMBIO","portal":"BioPortal"}],"deprecation_date":"2022-01-13","deprecation_reason":"Most of the resource links, including those offering download of the terminology, are no longer valid, and the listed contact email address no longer exists."},"legacy_ids":["bsg-002721","bsg-s002721"],"name":"FAIRsharing record for: Ontology for Systems Chemical Biology and Chemogenomics","abbreviation":"Chem2Bio2RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.rf4pmz","doi":"10.25504/FAIRsharing.rf4pmz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chem2Bio2RDF has been created by aggregating data from multiple chemogenomics repositories and is cross-linked into Bio2RDF and LODD. There is also a linked-path generation tool to facilitate SPARQL query generation, and have created extended SPARQL functions to address specific chemical/biological search needs. Chem2Bio2RDF can be used to investigate polypharmacology, identification of potential multiple pathway inhibitors, and the association of pathways with adverse drug reactions. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Chemogenomics"],"countries":["United States"],"publications":[{"id":910,"pubmed_id":20478034,"title":"Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-255","authors":"Chen B,Dong X,Jiao D,Wang H,Zhu Q,Ding Y,Wild DJ","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-255","created_at":"2021-09-30T08:24:00.509Z","updated_at":"2021-09-30T08:24:00.509Z"}],"licence_links":[],"grants":[{"id":6175,"fairsharing_record_id":781,"organisation_id":1327,"relation":"maintains","created_at":"2021-09-30T09:27:51.335Z","updated_at":"2021-09-30T09:27:51.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"782","type":"fairsharing_records","attributes":{"created_at":"2020-05-26T14:46:03.000Z","updated_at":"2023-06-20T10:03:47.565Z","metadata":{"doi":"10.25504/FAIRsharing.4ed3fb","name":"Joint Evaluated Fission and Fusion Nuclear Data Library","status":"ready","contacts":[{"contact_name":"Franco Michel-Sendis","contact_email":"franco.michel-sendis@oecd.org"}],"homepage":"https://www.oecd-nea.org/dbdata/jeff/","citations":[],"identifier":782,"description":"The JEFF suite of nuclear data libraries contains a number of different data types, including neutron and proton interaction data, radioactive decay data, fission yields data, and thermal scattering law data.","abbreviation":"JEFF","support_links":[{"url":"https://www.oecd-nea.org/dbdata/jeff/feedback/feedback.html","name":"Feedback","type":"Help documentation"},{"url":"http://www.oecd-nea.org/dbdata/nds_jefreports/","name":"JEFF reports","type":"Help documentation"},{"url":"http://www.oecd-nea.org/dbdata/jeff/jeffdoc.html","name":"JEFF documents","type":"Help documentation"}],"year_creation":1982,"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010753","name":"re3data:r3d100010753","portal":"re3data"}]},"legacy_ids":["bsg-001485","bsg-s001485"],"name":"FAIRsharing record for: Joint Evaluated Fission and Fusion Nuclear Data Library","abbreviation":"JEFF","url":"https://fairsharing.org/10.25504/FAIRsharing.4ed3fb","doi":"10.25504/FAIRsharing.4ed3fb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JEFF suite of nuclear data libraries contains a number of different data types, including neutron and proton interaction data, radioactive decay data, fission yields data, and thermal scattering law data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Virology","Physics","Epidemiology"],"domains":["Proton"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19","Neutron Science","Nuclear data"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":6176,"fairsharing_record_id":782,"organisation_id":2201,"relation":"maintains","created_at":"2021-09-30T09:27:51.368Z","updated_at":"2021-09-30T09:27:51.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":2201,"name":"Nuclear Energy Agency, Paris, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"783","type":"fairsharing_records","attributes":{"created_at":"2015-07-20T11:00:38.000Z","updated_at":"2022-07-20T12:21:53.914Z","metadata":{"doi":"10.25504/FAIRsharing.zgqy0v","name":"Case Reports","status":"ready","contacts":[{"contact_name":"David Riley","contact_email":"dsrileymd@me.com"}],"homepage":"https://www.care-statement.org/","identifier":783,"description":"The CARE guidelines provide a framework that supports transparency and accuracy in the publication of case reports and the reporting of information from patient encounters. The publication of case reports following the CARE guidelines will provide practice-based data on interventions and outcomes that can be compared across therapeutic interventions and inform clinical practice guidelines.","abbreviation":"CARE","support_links":[{"url":"https://www.care-statement.org/case-reports","type":"Help documentation"},{"url":"http://www.care-statement.org/resources/checklist","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000601","bsg-s000601"],"name":"FAIRsharing record for: Case Reports","abbreviation":"CARE","url":"https://fairsharing.org/10.25504/FAIRsharing.zgqy0v","doi":"10.25504/FAIRsharing.zgqy0v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CARE guidelines provide a framework that supports transparency and accuracy in the publication of case reports and the reporting of information from patient encounters. The publication of case reports following the CARE guidelines will provide practice-based data on interventions and outcomes that can be compared across therapeutic interventions and inform clinical practice guidelines.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12038},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12474}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":787,"pubmed_id":24035173,"title":"The CARE guidelines: consensus-based clinical case report guideline development.","year":2013,"url":"http://doi.org/10.1016/j.jclinepi.2013.08.003","authors":"Gagnier JJ,Kienle G,Altman DG,Moher D,Sox H,Riley D","journal":"J Clin Epidemiol","doi":"10.1016/j.jclinepi.2013.08.003","created_at":"2021-09-30T08:23:46.753Z","updated_at":"2021-09-30T08:23:46.753Z"},{"id":2395,"pubmed_id":28529185,"title":"CARE guidelines for case reports: explanation and elaboration document.","year":2017,"url":"http://doi.org/S0895-4356(17)30037-9","authors":"Riley DS,Barber MS,Kienle GS,Aronson JK,von Schoen-Angerer T,Tugwell P,Kiene H,Helfand M,Altman DG,Sox H,Werthmann PG,Moher D,Rison RA,Shamseer L,Koch CA,Sun GH,Hanaway P,Sudak NL,Kaszkin-Bettag M,Carpenter JE,Gagnier JJ","journal":"J Clin Epidemiol","doi":"S0895-4356(17)30037-9","created_at":"2021-09-30T08:26:54.135Z","updated_at":"2021-09-30T08:26:54.135Z"}],"licence_links":[],"grants":[{"id":6179,"fairsharing_record_id":783,"organisation_id":3095,"relation":"funds","created_at":"2021-09-30T09:27:51.464Z","updated_at":"2021-09-30T09:27:51.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6181,"fairsharing_record_id":783,"organisation_id":754,"relation":"maintains","created_at":"2021-09-30T09:27:51.548Z","updated_at":"2021-09-30T09:27:51.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":754,"name":"Deutsches Arzteblatt, Cologne, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6177,"fairsharing_record_id":783,"organisation_id":732,"relation":"funds","created_at":"2021-09-30T09:27:51.392Z","updated_at":"2021-09-30T09:27:51.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":732,"name":"Department of Orthopedic Surgery, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6182,"fairsharing_record_id":783,"organisation_id":2280,"relation":"maintains","created_at":"2021-09-30T09:27:51.586Z","updated_at":"2021-09-30T09:27:51.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Health Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6183,"fairsharing_record_id":783,"organisation_id":1462,"relation":"maintains","created_at":"2021-09-30T09:27:51.618Z","updated_at":"2021-09-30T09:27:51.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":1462,"name":"Integrative Medicine Institute (IMI), Portland, OR, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6178,"fairsharing_record_id":783,"organisation_id":1163,"relation":"funds","created_at":"2021-09-30T09:27:51.423Z","updated_at":"2021-09-30T09:30:09.496Z","grant_id":577,"is_lead":false,"saved_state":{"id":1163,"name":"Global Advances in Health and Medicine","grant":"201210-3","types":["Publisher"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1106","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-28T06:40:54.418Z","metadata":{"doi":"10.25504/FAIRsharing.ckrs1g","name":"Physician Data Query","status":"ready","contacts":[{"contact_name":"Volker Englisch","contact_email":"volker@mail.nih.gov"}],"homepage":"https://www.cancer.gov/publications/pdq","identifier":1106,"description":"Physician Data Query (PDQ) Terminology is part of NCI's comprehensive cancer information database, which contains expert summaries on a wide range of cancer topics, a listing of some 30,000 cancer clinical trials from around the world, a directory of genetics services professionals, the NCI Dictionary of Cancer Terms, and the NCI Drug Dictionary.","abbreviation":"PDQ","support_links":[{"url":"https://en.wikipedia.org/wiki/Physician_Data_Query","name":"Wikipedia","type":"Wikipedia"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDQ","name":"PDQ","portal":"BioPortal"}]},"legacy_ids":["bsg-002589","bsg-s002589"],"name":"FAIRsharing record for: Physician Data Query","abbreviation":"PDQ","url":"https://fairsharing.org/10.25504/FAIRsharing.ckrs1g","doi":"10.25504/FAIRsharing.ckrs1g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Physician Data Query (PDQ) Terminology is part of NCI's comprehensive cancer information database, which contains expert summaries on a wide range of cancer topics, a listing of some 30,000 cancer clinical trials from around the world, a directory of genetics services professionals, the NCI Dictionary of Cancer Terms, and the NCI Drug Dictionary.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12447}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Medicine","Genetics","Health Science","Life Science","Pharmacogenomics","Biomedical Science"],"domains":["Drug","Cancer","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2267,"pubmed_id":null,"title":"PDQ (Physician Data Query) (February 2017)","year":2017,"url":"http://doi.org/10.1093/jnci/djx022","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djx022","created_at":"2021-09-30T08:26:36.105Z","updated_at":"2021-09-30T11:28:35.584Z"},{"id":2348,"pubmed_id":3079208,"title":"The Physician Data Query (PDQ) cancer information system.","year":1986,"url":"http://doi.org/10.1080/08858198609527818","authors":"Hubbard SM,Martin NB,Blankenbaker LW,Esterhay RJ Jr,Masys DR,Tingley DE,Stram MC,DeVita VT Jr","journal":"J Cancer Educ","doi":"10.1080/08858198609527818","created_at":"2021-09-30T08:26:48.543Z","updated_at":"2021-09-30T08:26:48.543Z"},{"id":2349,"pubmed_id":1804524,"title":"The PDQ (Physician Data Query), the cancer database, in oncological clinical practice.","year":1991,"url":"http://doi.org/10.1016/0305-7372(91)90010-w","authors":"Fare C,Ugolini D","journal":"Cancer Treat Rev","doi":"10.1016/0305-7372(91)90010-w","created_at":"2021-09-30T08:26:48.709Z","updated_at":"2021-09-30T08:26:48.709Z"},{"id":2350,"pubmed_id":22271770,"title":"Physician data query (PDQ(R)) update (February 2012)","year":2012,"url":"http://doi.org/10.1093/jnci/djs025","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djs025","created_at":"2021-09-30T08:26:48.816Z","updated_at":"2021-09-30T11:28:34.827Z"},{"id":2351,"pubmed_id":22517987,"title":"Physician Data Query (PDQ(R)) update (May 2012 )","year":2012,"url":"http://doi.org/10.1093/jnci/djs231","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djs231","created_at":"2021-09-30T08:26:48.975Z","updated_at":"2021-09-30T11:28:34.976Z"},{"id":2374,"pubmed_id":null,"title":"PDQ (Physician Data Query) (January 2017)","year":2017,"url":"http://doi.org/10.1093/jnci/djw336","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djw336","created_at":"2021-09-30T08:26:51.799Z","updated_at":"2021-09-30T11:28:35.343Z"},{"id":2376,"pubmed_id":null,"title":"PDQ (Physician Data Query) (March 2017)","year":2017,"url":"http://doi.org/10.1093/jnci/djx047","authors":"No authors listed","journal":"J Natl Cancer Inst","doi":"10.1093/jnci/djx047","created_at":"2021-09-30T08:26:52.015Z","updated_at":"2021-09-30T11:28:35.492Z"},{"id":2379,"pubmed_id":23996204,"title":"NCI's Physician Data Query (PDQ(R)) cancer information summaries: history, editorial processes, influence, and reach.","year":2013,"url":"http://doi.org/10.1007/s13187-013-0536-3","authors":"Manrow RE,Beckwith M,Johnson LE","journal":"J Cancer Educ","doi":"10.1007/s13187-013-0536-3","created_at":"2021-09-30T08:26:52.352Z","updated_at":"2021-09-30T08:26:52.352Z"}],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":29,"relation":"undefined"}],"grants":[{"id":6788,"fairsharing_record_id":1106,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:14.040Z","updated_at":"2021-09-30T09:28:14.040Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6787,"fairsharing_record_id":1106,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:28:14.017Z","updated_at":"2021-09-30T09:28:14.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1107","type":"fairsharing_records","attributes":{"created_at":"2017-04-12T21:10:57.000Z","updated_at":"2022-07-20T12:40:34.305Z","metadata":{"doi":"10.25504/FAIRsharing.37nbtc","name":"International HLA and Immunogenetics Workshop XML","status":"ready","contacts":[{"contact_name":"Steven J. Mack","contact_email":"sjmack@chori.org","contact_orcid":"0000-0001-9820-9547"}],"homepage":"https://github.com/IHIW/bioinformatics/tree/master/typing_report_formats/IHIW_XML","identifier":1107,"description":"International HLA and Immunogenetics Workshop XML (IHIW XML) is intended as a potentially general-purpose XML format for exchanging HLA genotyping data (HLA genotypes and associated consensus sequences) and associated meta-data generated using Next Generation Sequencing (NGS) methods. This format supports NGS based genotyping methods, phased and unphased consensus sequence data, registered methodologies, reference allele data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","abbreviation":"IHIW XML","year_creation":2016},"legacy_ids":["bsg-000700","bsg-s000700"],"name":"FAIRsharing record for: International HLA and Immunogenetics Workshop XML","abbreviation":"IHIW XML","url":"https://fairsharing.org/10.25504/FAIRsharing.37nbtc","doi":"10.25504/FAIRsharing.37nbtc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: International HLA and Immunogenetics Workshop XML (IHIW XML) is intended as a potentially general-purpose XML format for exchanging HLA genotyping data (HLA genotypes and associated consensus sequences) and associated meta-data generated using Next Generation Sequencing (NGS) methods. This format supports NGS based genotyping methods, phased and unphased consensus sequence data, registered methodologies, reference allele data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics"],"domains":["Next generation DNA sequencing","Human leukocyte antigen complex"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Immunogenomics"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6789,"fairsharing_record_id":1107,"organisation_id":1493,"relation":"maintains","created_at":"2021-09-30T09:28:14.066Z","updated_at":"2021-09-30T09:28:14.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":1493,"name":"International HLA and Immunogenetics Workshop","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6790,"fairsharing_record_id":1107,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:14.104Z","updated_at":"2021-09-30T09:30:19.151Z","grant_id":654,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI128775","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1108","type":"fairsharing_records","attributes":{"created_at":"2018-07-18T15:44:58.000Z","updated_at":"2024-04-24T08:57:45.663Z","metadata":{"doi":"10.25504/FAIRsharing.pDq8lX","name":"Hierarchical Editing Language for Macromolecules","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@openHELM.org"}],"homepage":"https://www.pistoiaalliance.org/helm-project/","citations":[],"identifier":1108,"description":"HELM (Hierarchical Editing Language for Macromolecules) enables the representation of a wide range of biomolecules (e.g. proteins, nucleotides, antibody drug conjugates) whose size and complexity render existing small-molecule and sequence-based informatics methodologies impractical or unusable. HELM solves this problem through a hierarchical notation that represents complex macromolecules as polymeric structures with support for unnatural components (e.g. unnatural amino acids) and chemical modifications.","abbreviation":"HELM","support_links":[{"url":"https://pistoiaalliance.atlassian.net/wiki/spaces/HELM/overview","name":"HELM Wiki","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Hierarchical_editing_language_for_macromolecules","name":"https://en.wikipedia.org/wiki/Hierarchical_editing_language_for_macromolecules","type":"Wikipedia"}],"year_creation":2013,"associated_tools":[{"url":"https://github.com/PistoiaHELM/HELMWebEditor","name":"HELM Web Editor"},{"url":"https://github.com/PistoiaHELM/HELMAntibodyEditor2","name":"HELM Antibody Editor"},{"url":"https://github.com/PistoiaHELM/HELM2NotationToolkit","name":"HELM2 Notation Toolkit"}]},"legacy_ids":["bsg-001222","bsg-s001222"],"name":"FAIRsharing record for: Hierarchical Editing Language for Macromolecules","abbreviation":"HELM","url":"https://fairsharing.org/10.25504/FAIRsharing.pDq8lX","doi":"10.25504/FAIRsharing.pDq8lX","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HELM (Hierarchical Editing Language for Macromolecules) enables the representation of a wide range of biomolecules (e.g. proteins, nucleotides, antibody drug conjugates) whose size and complexity render existing small-molecule and sequence-based informatics methodologies impractical or unusable. HELM solves this problem through a hierarchical notation that represents complex macromolecules as polymeric structures with support for unnatural components (e.g. unnatural amino acids) and chemical modifications.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11739}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Molecular biology","Cheminformatics","Biochemistry","Bioinformatics","Life Science"],"domains":["Molecular structure","Chemical structure","Molecular entity","Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Denmark","France","Germany","Hungary","Switzerland","United Kingdom","United States"],"publications":[{"id":2283,"pubmed_id":22947017,"title":"HELM: a hierarchical notation language for complex biomolecule structure representation.","year":2012,"url":"http://doi.org/10.1021/ci3001925","authors":"Zhang T,Li H,Xi H,Stanton RV,Rotstein SH","journal":"J Chem Inf Model","doi":"10.1021/ci3001925","created_at":"2021-09-30T08:26:38.161Z","updated_at":"2021-09-30T08:26:38.161Z"},{"id":2284,"pubmed_id":28471655,"title":"HELM Software for Biopolymers.","year":2017,"url":"http://doi.org/10.1021/acs.jcim.6b00442","authors":"Milton J,Zhang T,Bellamy C,Swayze E,Hart C,Weisser M,Hecht S,Rotstein S","journal":"J Chem Inf Model","doi":"10.1021/acs.jcim.6b00442","created_at":"2021-09-30T08:26:38.274Z","updated_at":"2021-09-30T08:26:38.274Z"}],"licence_links":[],"grants":[{"id":6791,"fairsharing_record_id":1108,"organisation_id":2327,"relation":"maintains","created_at":"2021-09-30T09:28:14.154Z","updated_at":"2024-04-24T08:39:03.404Z","grant_id":null,"is_lead":true,"saved_state":{"id":2327,"name":"Pistoia Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa3NFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--92389f1749ec62a8ac04d464969cb24642768f04/HELM_logo_small_rgb-300x120.png?disposition=inline","exhaustive_licences":false}},{"id":"1109","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:44.529Z","metadata":{"doi":"10.25504/FAIRsharing.7ky72t","name":"Natural Products Ontology","status":"deprecated","contacts":[{"contact_name":"Riza Theresa Batista-Navarro","contact_email":"batistar@cs.man.ac.uk","contact_orcid":"0000-0001-6693-7531"}],"homepage":"http://bioportal.bioontology.org/ontologies/3004","identifier":1109,"description":"An ontology for describing biological activities of natural products.","abbreviation":"NatPrO","deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002781","bsg-s002781"],"name":"FAIRsharing record for: Natural Products Ontology","abbreviation":"NatPrO","url":"https://fairsharing.org/10.25504/FAIRsharing.7ky72t","doi":"10.25504/FAIRsharing.7ky72t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for describing biological activities of natural products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6792,"fairsharing_record_id":1109,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:14.196Z","updated_at":"2021-09-30T09:28:14.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1110","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T14:21:48.000Z","updated_at":"2022-12-13T09:38:32.390Z","metadata":{"doi":"10.25504/FAIRsharing.daXv6l","name":"Astronomical Data Query Language","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/ADQL.html","citations":[],"identifier":1110,"description":"The Astronomical Data Query Language (ADQL) is the language used by the IVOA to represent astronomy queries posted to VO services. The IVOA has developed several standardized protocols to access astronomical data, e.g., Simple Image Access (SIA) protocol and Simple Spectral Access (SSA) protocol for image and spectral data respectively. These protocols might be satisfied using a single table query. However, different VO services have different needs in terms of query complexity and ADQL arises in this context. The ADQL specification makes no distinction between core and advanced or extended functionalities. Hence ADQL has been built according to a single Backus Naur Form (BNF) based language definition. Any service making use of ADQL would then define the level of compliancy to the language. This would allow the notion of core and extension to be service-driven and it would decouple the language from the service specifications. ADQL is based on the Structured Query Language (SQL), especially on SQL 92 1 2 3. . The VO has a number of tabular data sets and many of them are stored in relational databases, making SQL a convenient access means. A subset of the SQL grammar has been extended to support queries that are specific to astronomy. Similarly to SQL, the ADQL language definition is not semantically safe by design and therefore this specification defines syntactical correctness only. Type safety has been achieved as far as it can be done in SQL.","abbreviation":"ADQL","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/ADQL","name":"ADQL Wiki","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001152","bsg-s001152"],"name":"FAIRsharing record for: Astronomical Data Query Language","abbreviation":"ADQL","url":"https://fairsharing.org/10.25504/FAIRsharing.daXv6l","doi":"10.25504/FAIRsharing.daXv6l","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Astronomical Data Query Language (ADQL) is the language used by the IVOA to represent astronomy queries posted to VO services. The IVOA has developed several standardized protocols to access astronomical data, e.g., Simple Image Access (SIA) protocol and Simple Spectral Access (SSA) protocol for image and spectral data respectively. These protocols might be satisfied using a single table query. However, different VO services have different needs in terms of query complexity and ADQL arises in this context. The ADQL specification makes no distinction between core and advanced or extended functionalities. Hence ADQL has been built according to a single Backus Naur Form (BNF) based language definition. Any service making use of ADQL would then define the level of compliancy to the language. This would allow the notion of core and extension to be service-driven and it would decouple the language from the service specifications. ADQL is based on the Structured Query Language (SQL), especially on SQL 92 1 2 3. . The VO has a number of tabular data sets and many of them are stored in relational databases, making SQL a convenient access means. A subset of the SQL grammar has been extended to support queries that are specific to astronomy. Similarly to SQL, the ADQL language definition is not semantically safe by design and therefore this specification defines syntactical correctness only. Type safety has been achieved as far as it can be done in SQL.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11490}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2906,"pubmed_id":null,"title":"IVOA Astronomical Data Query Language Version 2.00","year":2008,"url":"http://dx.doi.org/10.5479/ADS/bib/2008ivoa.spec.1030O","authors":"Osuna, Pedro; Ortiz, Iñaki; Lusted, Jeff; Dowler, Pat; Szalay, Alexander; Shirasaki, Yuji; Nieto-Santisteban, Maria A.; Ohishi, Masatoshi; O'Mullane, William; VOQL-TEG Group; VOQL Working Group.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:57.841Z","updated_at":"2021-09-30T08:27:57.841Z"}],"licence_links":[],"grants":[{"id":6794,"fairsharing_record_id":1110,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:14.275Z","updated_at":"2021-09-30T09:28:14.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6793,"fairsharing_record_id":1110,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:14.238Z","updated_at":"2021-09-30T09:28:14.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1111","type":"fairsharing_records","attributes":{"created_at":"2020-09-17T15:09:58.000Z","updated_at":"2024-05-01T15:04:32.974Z","metadata":{"doi":"10.25504/FAIRsharing.wYScsE","name":"Minimum Information about Animal Toxicology Experiments","status":"ready","contacts":[{"contact_name":"Rance Nault","contact_email":"naultran@msu.edu","contact_orcid":"0000-0002-6822-4962"}],"homepage":"https://github.com/zacharewskilab/MIATE","citations":[],"identifier":1111,"description":"MIATE/invivo defines a minimum set of metadata requirements for an in vivo animal toxicology experiment and recommended ontologies. It is intended to standardize (meta)data collection for traditional in vivo toxicology study designs and promote the Findable, Accessible, Interoperable, Reusable (FAIR) principles for in vivo animal toxicology experiments. MIATE aims to be a community-driven set of minimal metadata requirements for animal toxicology experiments supported by a templates, protocols, and resources to enable collection of research data in a standardized manner. ","abbreviation":"MIATE","support_links":[{"url":"https://github.com/zacharewskilab/MIATE","name":"GitHub Repository","type":"Github"}],"year_creation":2020,"associated_tools":[{"url":"https://isa-tools.org/software-suite.html","name":"ISA Software Suite"}]},"legacy_ids":["bsg-001527","bsg-s001527"],"name":"FAIRsharing record for: Minimum Information about Animal Toxicology Experiments","abbreviation":"MIATE","url":"https://fairsharing.org/10.25504/FAIRsharing.wYScsE","doi":"10.25504/FAIRsharing.wYScsE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIATE/invivo defines a minimum set of metadata requirements for an in vivo animal toxicology experiment and recommended ontologies. It is intended to standardize (meta)data collection for traditional in vivo toxicology study designs and promote the Findable, Accessible, Interoperable, Reusable (FAIR) principles for in vivo animal toxicology experiments. MIATE aims to be a community-driven set of minimal metadata requirements for animal toxicology experiments supported by a templates, protocols, and resources to enable collection of research data in a standardized manner. ","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16652}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicology","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6796,"fairsharing_record_id":1111,"organisation_id":1830,"relation":"maintains","created_at":"2021-09-30T09:28:14.341Z","updated_at":"2021-09-30T09:28:14.341Z","grant_id":null,"is_lead":true,"saved_state":{"id":1830,"name":"Michigan State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6795,"fairsharing_record_id":1111,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:28:14.312Z","updated_at":"2021-09-30T09:29:24.476Z","grant_id":235,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","grant":"P42ES004911","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7895,"fairsharing_record_id":1111,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:29:31.699Z","updated_at":"2021-09-30T09:29:31.748Z","grant_id":285,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","grant":"P42ES023716","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8434,"fairsharing_record_id":1111,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:32:38.194Z","updated_at":"2021-09-30T09:32:38.246Z","grant_id":1711,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","grant":"P42ES007380","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1112","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T15:47:31.000Z","updated_at":"2023-03-22T14:44:05.247Z","metadata":{"doi":"10.25504/FAIRsharing.k3z4q9","name":"Common Information Model","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"es-doc-contact@list.woc.noaa.gov"}],"homepage":"https://www.earthsystemcog.org/projects/es-doc-models/cim","citations":[],"identifier":1112,"description":"This standard is used by the climate research community and others to describe the artefacts and processes they work with. This includes climate simulations, the specific model components used to run those simulations, the datasets generated by those components, the geographic grids upon which those components and data are mapped, the computing platforms used, and so on. A CIM document is an XML document and CIM is an evolving standard.","abbreviation":"CIM","deprecation_date":"2023-03-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n"},"legacy_ids":["bsg-000710","bsg-s000710"],"name":"FAIRsharing record for: Common Information Model","abbreviation":"CIM","url":"https://fairsharing.org/10.25504/FAIRsharing.k3z4q9","doi":"10.25504/FAIRsharing.k3z4q9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard is used by the climate research community and others to describe the artefacts and processes they work with. This includes climate simulations, the specific model components used to run those simulations, the datasets generated by those components, the geographic grids upon which those components and data are mapped, the computing platforms used, and so on. A CIM document is an XML document and CIM is an evolving standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science","Earth Science","Atmospheric Science"],"domains":["Resource metadata","Climate","Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6798,"fairsharing_record_id":1112,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:28:14.396Z","updated_at":"2021-09-30T09:28:14.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6801,"fairsharing_record_id":1112,"organisation_id":2056,"relation":"undefined","created_at":"2021-09-30T09:28:14.518Z","updated_at":"2021-09-30T09:28:14.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6797,"fairsharing_record_id":1112,"organisation_id":1348,"relation":"undefined","created_at":"2021-09-30T09:28:14.365Z","updated_at":"2021-09-30T09:28:14.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":1348,"name":"Infrastructure for the European Network for Earth System Modelling (IS-ENES)","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6799,"fairsharing_record_id":1112,"organisation_id":1945,"relation":"undefined","created_at":"2021-09-30T09:28:14.438Z","updated_at":"2021-09-30T09:28:14.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6800,"fairsharing_record_id":1112,"organisation_id":2071,"relation":"undefined","created_at":"2021-09-30T09:28:14.480Z","updated_at":"2021-09-30T09:28:14.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6802,"fairsharing_record_id":1112,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:28:14.555Z","updated_at":"2021-09-30T09:28:14.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1131","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T14:42:59.000Z","updated_at":"2022-12-21T14:57:05.497Z","metadata":{"doi":"10.25504/FAIRsharing.nPfuTE","name":"Neurodata Without Borders: Neurophysiology 2.0","status":"ready","contacts":[{"contact_name":"Benjamin Dichter","contact_email":"bdichter@lbl.gov","contact_orcid":"0000-0001-5725-6910"}],"homepage":"https://www.nwb.org/nwb-neurophysiology/","citations":[],"identifier":1131,"description":"Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 is a data standard for neurophysiology, that provideds neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB:N 2.0 is designed to store a variety of neurophysiology data, including from intracellular and extracellular electrophysiology experiments, optical physiology experiments, as well as tracking and stimulus data.","abbreviation":"NWB:N 2.0","support_links":[{"url":"https://www.nwb.org/contact-us/","name":"Contact","type":"Contact form"},{"url":"https://www.nwb.org","name":"Neurodata Without Borders","type":"Help documentation"},{"url":"https://pynwb.readthedocs.io/en/stable/contributing.html","name":"Contributing to NWB","type":"Help documentation"},{"url":"https://www.nwb.org/2019/02/26/nwbn-2-0-final-released/","name":"NWB:N 2.0 Release Info","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001460","bsg-s001460"],"name":"FAIRsharing record for: Neurodata Without Borders: Neurophysiology 2.0","abbreviation":"NWB:N 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.nPfuTE","doi":"10.25504/FAIRsharing.nPfuTE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 is a data standard for neurophysiology, that provideds neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB:N 2.0 is designed to store a variety of neurophysiology data, including from intracellular and extracellular electrophysiology experiments, optical physiology experiments, as well as tracking and stimulus data.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17032},{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12389}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurophysiology","Cognitive Neuroscience","Neuroscience","Electrophysiology"],"domains":["Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2889,"pubmed_id":26590340,"title":"Neurodata Without Borders: Creating a Common Data Format for Neurophysiology.","year":2015,"url":"http://doi.org/10.1016/j.neuron.2015.10.025","authors":"Teeters JL,Godfrey K,Young R,Dang C,Friedsam C,Wark B,Asari H,Peron S,Li N,Peyrache A,Denisov G,Siegle JH,Olsen SR,Martin C,Chun M,Tripathy S,Blanche TJ,Harris K,Buzsaki G,Koch C,Meister M,Svoboda K,Sommer FT","journal":"Neuron","doi":"10.1016/j.neuron.2015.10.025","created_at":"2021-09-30T08:27:55.758Z","updated_at":"2021-09-30T08:27:55.758Z"},{"id":2890,"pubmed_id":null,"title":"NWB:N 2.0: An Accessible Data Standard for Neurophysiology","year":2019,"url":"https://doi.org/10.1101/523035","authors":"Oliver Rübel, Andrew Tritt, Benjamin Dichter, Thomas Braun, Nicholas Cain, Nathan Clack, Thomas J. Davidson, Max Dougherty, Jean-Christophe Fillion-Robin, Nile Graddis, Michael Grauer, Justin T. Kiggins, Lawrence Niu, Doruk Ozturk, William Schroeder, Ivan Soltesz, Friedrich T. Sommer, Karel Svoboda, Ng Lydia, Loren M. Frank, Kristofer Bouchard","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:27:55.866Z","updated_at":"2021-09-30T11:28:40.386Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1383,"relation":"undefined"}],"grants":[{"id":6838,"fairsharing_record_id":1131,"organisation_id":1321,"relation":"funds","created_at":"2021-09-30T09:28:15.881Z","updated_at":"2021-09-30T09:28:15.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6841,"fairsharing_record_id":1131,"organisation_id":2794,"relation":"funds","created_at":"2021-09-30T09:28:15.989Z","updated_at":"2021-09-30T09:28:15.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":2794,"name":"The Kavli Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6840,"fairsharing_record_id":1131,"organisation_id":2570,"relation":"funds","created_at":"2021-09-30T09:28:15.951Z","updated_at":"2021-09-30T09:28:15.951Z","grant_id":null,"is_lead":false,"saved_state":{"id":2570,"name":"Simons Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":6842,"fairsharing_record_id":1131,"organisation_id":60,"relation":"maintains","created_at":"2021-09-30T09:28:16.028Z","updated_at":"2021-09-30T09:28:16.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":60,"name":"Allen Institute for Brain Science, Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6843,"fairsharing_record_id":1131,"organisation_id":1243,"relation":"maintains","created_at":"2021-09-30T09:28:16.065Z","updated_at":"2021-09-30T09:28:16.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1243,"name":"HHMI Janelia Research Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9319,"fairsharing_record_id":1131,"organisation_id":1691,"relation":"maintains","created_at":"2022-04-11T12:07:30.070Z","updated_at":"2022-04-11T12:07:30.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1132","type":"fairsharing_records","attributes":{"created_at":"2018-06-15T14:50:18.000Z","updated_at":"2024-03-21T16:13:40.481Z","metadata":{"doi":"10.25504/FAIRsharing.jGj1ly","name":"IDG Cell Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":1132,"description":"Cultured cell reagent resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001217","bsg-s001217"],"name":"FAIRsharing record for: IDG Cell Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jGj1ly","doi":"10.25504/FAIRsharing.jGj1ly","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cultured cell reagent resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11703}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science"],"domains":["Peptide","Protein targeting","Antibody","Small molecule","Tissue"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6844,"fairsharing_record_id":1132,"organisation_id":1314,"relation":"maintains","created_at":"2021-09-30T09:28:16.102Z","updated_at":"2024-03-21T16:09:07.085Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11574,"fairsharing_record_id":1132,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:03.592Z","updated_at":"2024-03-21T13:59:03.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZzRFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--77a0d77d33d12ca3157931f33790bdd21c5c4958/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"1133","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:04:08.000Z","updated_at":"2023-06-02T15:16:32.563Z","metadata":{"doi":"10.25504/FAIRsharing.gt5K7W","name":"Vocabulary of Heat Transfers","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/1WB/en/","citations":[],"identifier":1133,"description":"Controlled vocabulary used for indexing bibliographical records dealing with “Classical Thermodynamics / Heat Transfers” in the PASCAL database (1972 à 2015). This vocabulary reflects the content of the indexed articles, including the experimental and/or theoretical context in which the heat transfer phenomena were studied. The resource is aligned with Rameau and LCSH. It consists of 1462 entries in 2 languages (English, French) grouped under 7 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001409","bsg-s001409"],"name":"FAIRsharing record for: Vocabulary of Heat Transfers","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.gt5K7W","doi":"10.25504/FAIRsharing.gt5K7W","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records dealing with “Classical Thermodynamics / Heat Transfers” in the PASCAL database (1972 à 2015). This vocabulary reflects the content of the indexed articles, including the experimental and/or theoretical context in which the heat transfer phenomena were studied. The resource is aligned with Rameau and LCSH. It consists of 1462 entries in 2 languages (English, French) grouped under 7 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11305}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Thermodynamics","Physical Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Heat transfers"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":596,"relation":"undefined"}],"grants":[{"id":6847,"fairsharing_record_id":1133,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.212Z","updated_at":"2021-09-30T09:28:16.212Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6846,"fairsharing_record_id":1133,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.173Z","updated_at":"2021-09-30T09:28:16.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1134","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T18:56:12.000Z","updated_at":"2024-03-21T16:13:37.544Z","metadata":{"doi":"10.25504/FAIRsharing.stYji6","name":"IDG Antibody Resource Reporting Standards","status":"ready","contacts":[{"contact_name":"Dusica Vidovic","contact_email":"dvidovic@med.miami.edu"},{"contact_name":"General Contact","contact_email":"idg.rdoc@gmail.com","contact_orcid":null}],"homepage":"https://druggablegenome.net/MetadataStandards","citations":[],"identifier":1134,"description":"Primary and secondary antibody resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","abbreviation":null,"support_links":[{"url":"idg.rdoc@gmail.com","name":"Contact email","type":"Support email"},{"url":"https://twitter.com/DruggableGenome","name":"@DruggableGenome","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001223","bsg-s001223"],"name":"FAIRsharing record for: IDG Antibody Resource Reporting Standards","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.stYji6","doi":"10.25504/FAIRsharing.stYji6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Primary and secondary antibody resource reporting standard for the Illuminating the Druggable Genome (IDG) consortium.","linked_records":[],"linking_records":[{"linking_record_name":"Illuminating the Druggable Genome Project","linking_record_id":3523,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11705}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunology","Biomedical Science"],"domains":["Protein targeting"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Drug Target","Protein superfamily"],"countries":["Denmark","Germany","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6848,"fairsharing_record_id":1134,"organisation_id":1314,"relation":"maintains","created_at":"2021-09-30T09:28:16.243Z","updated_at":"2024-03-21T16:12:02.219Z","grant_id":null,"is_lead":true,"saved_state":{"id":1314,"name":"Illuminating the Druggable Genome (IDG) consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11575,"fairsharing_record_id":1134,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:03.818Z","updated_at":"2024-03-21T13:59:03.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6e0f954cd59a4abb0cf0d2c18557c761f3d016c2/IDG_logo_only.png?disposition=inline","exhaustive_licences":false}},{"id":"1135","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:27.325Z","metadata":{"doi":"10.25504/FAIRsharing.v8sf83","name":"Standardization in Laboratory Automation Consortium","status":"ready","contacts":[{"contact_name":"Devon Johnston","contact_email":"devon.johnston@sila-standard.org"}],"homepage":"http://www.sila-standard.org/","identifier":1135,"description":"SiLA is a global not-for-profit consortium of laboratory automation users, device suppliers, and integrators. Its mission is to establish international standards which create open connectivity in lab automation. SiLA enables vendor-independent device control and data exchange, through standard instrument interfaces and common command dictionaries, as well as data capture and labware description file standards.","abbreviation":"SiLA","support_links":[{"url":"http://www.sila-standard.org/training/","type":"Training documentation"}]},"legacy_ids":["bsg-000544","bsg-s000544"],"name":"FAIRsharing record for: Standardization in Laboratory Automation Consortium","abbreviation":"SiLA","url":"https://fairsharing.org/10.25504/FAIRsharing.v8sf83","doi":"10.25504/FAIRsharing.v8sf83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SiLA is a global not-for-profit consortium of laboratory automation users, device suppliers, and integrators. Its mission is to establish international standards which create open connectivity in lab automation. SiLA enables vendor-independent device control and data exchange, through standard instrument interfaces and common command dictionaries, as well as data capture and labware description file standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Automation","Life Science","Biomedical Science"],"domains":["Device"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","Liechtenstein","Switzerland","United Kingdom","United States"],"publications":[{"id":626,"pubmed_id":22357556,"title":"SiLA: Basic standards for rapid integration in laboratory automation","year":2012,"url":"http://doi.org/10.1177/2211068211424550","authors":"Bär Henning, Hochstrasser Remo, Papenfuss Bernd","journal":"Journal of Laboratory Automation","doi":"10.1177/2211068211424550","created_at":"2021-09-30T08:23:28.827Z","updated_at":"2021-09-30T08:23:28.827Z"}],"licence_links":[{"licence_name":"SiLA Privacy Policy","licence_id":746,"licence_url":"http://www.sila-standard.org/privacy_policy/","link_id":3,"relation":"undefined"}],"grants":[{"id":6850,"fairsharing_record_id":1135,"organisation_id":97,"relation":"maintains","created_at":"2021-09-30T09:28:16.297Z","updated_at":"2021-09-30T09:28:16.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":97,"name":"AnIML Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6852,"fairsharing_record_id":1135,"organisation_id":2566,"relation":"funds","created_at":"2021-09-30T09:28:16.378Z","updated_at":"2021-09-30T09:28:16.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":2566,"name":"SILA Consortium","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6851,"fairsharing_record_id":1135,"organisation_id":2577,"relation":"maintains","created_at":"2021-09-30T09:28:16.339Z","updated_at":"2021-09-30T09:28:16.339Z","grant_id":null,"is_lead":false,"saved_state":{"id":2577,"name":"SLAS","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1099","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T11:04:42.134Z","metadata":{"doi":"10.25504/FAIRsharing.v06c4q","name":"IBP Cassava Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_334:ROOT","citations":[],"identifier":1099,"description":"Crop-specific trait ontologies enhance the interoperability and effectiveness of data exchange between the data sources which adopt it, by providing standard concepts that are use to describe phenotypes stored in those sources. As one of them, the Cassava Ontology is actively used and shared in different databases such as the BMS (Breeding Management system) of the IBP or the CassavaBase. Cassava, a major staple crop, is the main source of calories for 500 million people across the globe. A perennial woody shrub native to Latin America, cassava is primarily grown as an annual crop in the humid tropics. A cash crop as well as a subsistence crop, cassava's large edible starchy roots are a source of low-cost carbohydrates for millions. Cassava end products range from fresh roots cooked, boiled, baked or fried at the household level, to highly processed starch as a food additive.","abbreviation":"CO_334","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help Page","type":"Help documentation"},{"url":"https://github.com/Planteome/ibp-cassava-traits","name":"GitHub Repository","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001106","bsg-s001106"],"name":"FAIRsharing record for: IBP Cassava Trait Ontology","abbreviation":"CO_334","url":"https://fairsharing.org/10.25504/FAIRsharing.v06c4q","doi":"10.25504/FAIRsharing.v06c4q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Crop-specific trait ontologies enhance the interoperability and effectiveness of data exchange between the data sources which adopt it, by providing standard concepts that are use to describe phenotypes stored in those sources. As one of them, the Cassava Ontology is actively used and shared in different databases such as the BMS (Breeding Management system) of the IBP or the CassavaBase. Cassava, a major staple crop, is the main source of calories for 500 million people across the globe. A perennial woody shrub native to Latin America, cassava is primarily grown as an annual crop in the humid tropics. A cash crop as well as a subsistence crop, cassava's large edible starchy roots are a source of low-cost carbohydrates for millions. Cassava end products range from fresh roots cooked, boiled, baked or fried at the household level, to highly processed starch as a food additive.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Nutritional Science"],"domains":["Food","Phenotype"],"taxonomies":["Manihot esculenta"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1812,"relation":"undefined"}],"grants":[{"id":6775,"fairsharing_record_id":1099,"organisation_id":489,"relation":"maintains","created_at":"2021-09-30T09:28:13.495Z","updated_at":"2021-09-30T09:28:13.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":489,"name":"CGIAR Research Program on Roots, Tubers and Bananas","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6776,"fairsharing_record_id":1099,"organisation_id":382,"relation":"maintains","created_at":"2021-09-30T09:28:13.537Z","updated_at":"2021-09-30T09:28:13.537Z","grant_id":null,"is_lead":false,"saved_state":{"id":382,"name":"Cassavabase","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6777,"fairsharing_record_id":1099,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:28:13.576Z","updated_at":"2021-09-30T09:28:13.576Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1100","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:24:45.070Z","metadata":{"doi":"10.25504/FAIRsharing.fgd5gq","name":"Mungbean Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_346:ROOT","citations":[],"identifier":1100,"description":"The Mungbean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","abbreviation":"CO_346","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001103","bsg-s001103"],"name":"FAIRsharing record for: Mungbean Ontology","abbreviation":"CO_346","url":"https://fairsharing.org/10.25504/FAIRsharing.fgd5gq","doi":"10.25504/FAIRsharing.fgd5gq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mungbean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Vigna radiata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1854,"relation":"undefined"}],"grants":[{"id":6778,"fairsharing_record_id":1100,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:13.613Z","updated_at":"2021-09-30T09:28:13.613Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1101","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T12:32:23.000Z","updated_at":"2024-03-25T20:56:42.746Z","metadata":{"doi":"10.25504/FAIRsharing.364323","name":"Rich Text Format","status":"ready","contacts":[],"homepage":"https://en.wikipedia.org/wiki/Rich_Text_Format","citations":[],"identifier":1101,"description":"The Rich Text Format (RTF) Specification provides a format for text and graphics interchange that can be used with different output devices, operating environments, and operating systems. Version 1.9.1 of the specification contains the latest updates introduced by Microsoft Office Word 2007. Please note that normally FAIRsharing would not use a third-party URL such as Wikipedia for its homepage, however an official site cannot be found. Please get in touch with us if you have any information.","abbreviation":"RTF","year_creation":1987},"legacy_ids":["bsg-001263","bsg-s001263"],"name":"FAIRsharing record for: Rich Text Format","abbreviation":"RTF","url":"https://fairsharing.org/10.25504/FAIRsharing.364323","doi":"10.25504/FAIRsharing.364323","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Rich Text Format (RTF) Specification provides a format for text and graphics interchange that can be used with different output devices, operating environments, and operating systems. Version 1.9.1 of the specification contains the latest updates introduced by Microsoft Office Word 2007. Please note that normally FAIRsharing would not use a third-party URL such as Wikipedia for its homepage, however an official site cannot be found. Please get in touch with us if you have any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6779,"fairsharing_record_id":1101,"organisation_id":1835,"relation":"maintains","created_at":"2021-09-30T09:28:13.654Z","updated_at":"2021-09-30T09:28:13.654Z","grant_id":null,"is_lead":true,"saved_state":{"id":1835,"name":"Microsoft Corporation, Seattle, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1102","type":"fairsharing_records","attributes":{"created_at":"2021-01-14T11:57:07.000Z","updated_at":"2022-07-20T13:11:55.061Z","metadata":{"doi":"10.25504/FAIRsharing.41e4bc","name":"Essential Ocean Variables","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"goos@unesco.org"}],"homepage":"https://www.goosocean.org/index.php?option=com_content\u0026view=article\u0026id=14\u0026Itemid=114","identifier":1102,"description":"Essential Ocean Variables (EOV) is a vocabulary created to avoid duplication of efforts across observing platforms and networks, and to aid adoption of common standards for data collection. Values within EOV are identified by the GOOS Expert Panels, based relevance, feasibility and cost effectiveness.","abbreviation":"EOV"},"legacy_ids":["bsg-001580","bsg-s001580"],"name":"FAIRsharing record for: Essential Ocean Variables","abbreviation":"EOV","url":"https://fairsharing.org/10.25504/FAIRsharing.41e4bc","doi":"10.25504/FAIRsharing.41e4bc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Essential Ocean Variables (EOV) is a vocabulary created to avoid duplication of efforts across observing platforms and networks, and to aid adoption of common standards for data collection. Values within EOV are identified by the GOOS Expert Panels, based relevance, feasibility and cost effectiveness.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Earth Science","Oceanography","Biology","Ecosystem Science"],"domains":["Climate","Ecosystem"],"taxonomies":["All"],"user_defined_tags":["biogeochemistry"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6780,"fairsharing_record_id":1102,"organisation_id":1178,"relation":"maintains","created_at":"2021-09-30T09:28:13.694Z","updated_at":"2021-09-30T09:28:13.694Z","grant_id":null,"is_lead":true,"saved_state":{"id":1178,"name":"Global Ocean Observing System (GOOS), Intergovernmental Oceanographic Commission (IOC), UNESCO","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1103","type":"fairsharing_records","attributes":{"created_at":"2018-03-10T20:06:18.000Z","updated_at":"2023-07-31T12:45:51.900Z","metadata":{"doi":"10.25504/FAIRsharing.2b04ae","name":"Woody Plant Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"},{"contact_name":"urgi-data","contact_email":"urgi-data@inrae.fr","contact_orcid":null}],"homepage":"https://doi.org/10.15454/JB2WCE","citations":[],"identifier":1103,"description":"The Woody Plant Ontology lists reference variables used for experimentations and observations on woody plants (forest trees and shrubs, and possibly fruit trees). It is an international initiative based on various communities (French, Portuguese and European). Terms are collected from various sources and organized following the Crop Ontology standard which provides harmonized variables composed by a triplet: (i) a trait, the studied character, (ii) a method, the measurement protocol and (iii) a scale, the unit of measurement or scoring scale. ","abbreviation":"CO_357","support_links":[{"url":"celia.michotey@inra.fr","name":"Celia Michotey","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2017,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/co_357","name":"Woody Plant Ontology on OLS","portal":"OLS"},{"url":"http://agroportal.lirmm.fr/ontologies/CO_357?p=summary","name":"Woody Plant Ontology on AgroPortal","portal":"AgroPortal"},{"url":"https://entrepot.recherche.data.gouv.fr/dataset.xhtml?persistentId=doi:10.15454/JB2WCE","name":"Woody Plant Ontology on Data INRAE","portal":"Other"},{"url":"https://cropontology.org/term/CO_357:ROOT","name":"Woody Plant Ontology on Crop Ontology","portal":"Other"}]},"legacy_ids":["bsg-001136","bsg-s001136"],"name":"FAIRsharing record for: Woody Plant Ontology","abbreviation":"CO_357","url":"https://fairsharing.org/10.25504/FAIRsharing.2b04ae","doi":"10.25504/FAIRsharing.2b04ae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Woody Plant Ontology lists reference variables used for experimentations and observations on woody plants (forest trees and shrubs, and possibly fruit trees). It is an international initiative based on various communities (French, Portuguese and European). Terms are collected from various sources and organized following the Crop Ontology standard which provides harmonized variables composed by a triplet: (i) a trait, the studied character, (ii) a method, the measurement protocol and (iii) a scale, the unit of measurement or scoring scale. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Phenotype"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3141,"pubmed_id":null,"title":"Woody Plant Ontology, V1 ","year":2019,"url":"https://doi.org/10.15454/JB2WCE","authors":" Michotey, Célia; Chaves, Ines; Anger, Christel; Jorge, Véronique; Ehrenmann, Francois; Jean, Frederic; Opgenoorth, Lars","journal":"Portail Data INRAE","doi":"","created_at":"2021-11-30T11:01:58.023Z","updated_at":"2021-11-30T11:01:58.023Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1351,"relation":"undefined"}],"grants":[{"id":8616,"fairsharing_record_id":1103,"organisation_id":1301,"relation":"collaborates_on","created_at":"2021-11-29T19:42:13.796Z","updated_at":"2021-11-29T19:42:13.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":1301,"name":"iBET","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":6781,"fairsharing_record_id":1103,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:13.734Z","updated_at":"2021-09-30T09:28:13.734Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1104","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T10:31:00.000Z","updated_at":"2023-06-05T06:22:58.345Z","metadata":{"doi":"10.25504/FAIRsharing.YovxU6","name":"Vocabulary of Philosophy","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/73G/en/","citations":[],"identifier":1104,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Philosophy\" FRANCIS database (1972-2015). It consists of 4435 entries in mainly 2 languages (English and French) grouped into 102 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001405","bsg-s001405"],"name":"FAIRsharing record for: Vocabulary of Philosophy","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.YovxU6","doi":"10.25504/FAIRsharing.YovxU6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Philosophy\" FRANCIS database (1972-2015). It consists of 4435 entries in mainly 2 languages (English and French) grouped into 102 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11293}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Philosophy","Classical Philology","Practical Philosophy","Theoretical Philosophy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1112,"relation":"undefined"}],"grants":[{"id":6782,"fairsharing_record_id":1104,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:13.821Z","updated_at":"2021-09-30T09:28:13.821Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6783,"fairsharing_record_id":1104,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:13.863Z","updated_at":"2021-09-30T09:28:13.863Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1105","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:04.000Z","updated_at":"2022-07-20T12:46:55.551Z","metadata":{"doi":"10.25504/FAIRsharing.hve0ac","name":"Matter Transfer Ontology","status":"ready","contacts":[{"contact_name":"Patrice Buche","contact_email":"patrice.buche@supagro.inra.fr"}],"homepage":"https://www6.inrae.fr/cati-icat-atweb/Ontologies/Transmat","identifier":1105,"description":"The Matter Transfer ontology is dedicated to matter transfer (eg O2, CO2, H2O) and mechanical properties of materials especially with respect to food, bacteria and packaging fields.","abbreviation":"TRANSMAT","support_links":[{"url":"guillard@univ-montp2.fr","name":"Valerie Guillard","type":"Support email"}],"year_creation":2015},"legacy_ids":["bsg-001095","bsg-s001095"],"name":"FAIRsharing record for: Matter Transfer Ontology","abbreviation":"TRANSMAT","url":"https://fairsharing.org/10.25504/FAIRsharing.hve0ac","doi":"10.25504/FAIRsharing.hve0ac","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Matter Transfer ontology is dedicated to matter transfer (eg O2, CO2, H2O) and mechanical properties of materials especially with respect to food, bacteria and packaging fields.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Materials Science"],"domains":["Food"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2589,"pubmed_id":null,"title":"MAP-OPT: A software for supporting decision-making in the field of modified atmosphere packaging of fresh non respiring foods","year":2017,"url":"https://hal.archives-ouvertes.fr/lirmm-01652014","authors":"Valerie Guillard, Olivier Couvert, Valerie Stahl, Patrice Buche, Aurelie Hanin, et al.","journal":"Packaging Research, De Gruyter OPEN, A Paraitre, pp.1-43.","doi":null,"created_at":"2021-09-30T08:27:17.595Z","updated_at":"2021-09-30T11:28:32.410Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1422,"relation":"undefined"}],"grants":[{"id":6784,"fairsharing_record_id":1105,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:28:13.905Z","updated_at":"2021-09-30T09:28:13.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6785,"fairsharing_record_id":1105,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:13.946Z","updated_at":"2021-09-30T09:28:13.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6786,"fairsharing_record_id":1105,"organisation_id":1360,"relation":"maintains","created_at":"2021-09-30T09:28:13.984Z","updated_at":"2021-09-30T09:28:13.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":1360,"name":"INRA @Web Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1095","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T22:31:14.000Z","updated_at":"2023-05-05T07:50:23.327Z","metadata":{"doi":"10.25504/FAIRsharing.IIMCe0","name":"Gene Ontology Gene Association File Format 2.0","status":"deprecated","contacts":[{"contact_name":"Gene Ontology Consortium Helpdesk","contact_email":"help@geneontology.org","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://geneontology.org/docs/go-annotation-file-gaf-format-2.0/","citations":[],"identifier":1095,"description":"Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.0 (GAF 2.0). The annotation flat file format is comprised of 17 tab-delimited fields. The newer GAF 2.1 format is preferred over this older 2.0 format.","abbreviation":"GO GAF 2.0","support_links":[{"url":"https://github.com/geneontology/helpdesk/issues","name":"GO GitHub Issue Tracker","type":"Github"},{"url":"http://geneontology.org/docs/go-annotations/","name":"Introduction to GO annotations","type":"Help documentation"}],"year_creation":2013,"associated_tools":[{"url":"http://noctua.berkeleybop.org/","name":"NOCTUA Curation Platform"},{"url":"http://geneontology.org/go-cam","name":"GO Causal Activity Models (CAMs) viewer"}],"deprecation_date":"2021-02-01","deprecation_reason":"Deprecated as has been superseded."},"legacy_ids":["bsg-001129","bsg-s001129"],"name":"FAIRsharing record for: Gene Ontology Gene Association File Format 2.0","abbreviation":"GO GAF 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.IIMCe0","doi":"10.25504/FAIRsharing.IIMCe0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.0 (GAF 2.0). The annotation flat file format is comprised of 17 tab-delimited fields. The newer GAF 2.1 format is preferred over this older 2.0 format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Animal Genetics","Genetics","Human Genetics","Life Science","Molecular Genetics","Plant Genetics"],"domains":["Gene Ontology enrichment","Gene functional annotation","Functional association","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":203,"relation":"undefined"}],"grants":[{"id":6766,"fairsharing_record_id":1095,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:28:13.154Z","updated_at":"2021-09-30T09:28:13.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1096","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:01:07.000Z","updated_at":"2022-07-20T09:53:40.585Z","metadata":{"doi":"10.25504/FAIRsharing.a14123","name":"Common Bean Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_335:ROOT","citations":[],"identifier":1096,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Common Bean Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_335","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2021},"legacy_ids":["bsg-001130","bsg-s001130"],"name":"FAIRsharing record for: Common Bean Ontology","abbreviation":"CO_335","url":"https://fairsharing.org/10.25504/FAIRsharing.a14123","doi":"10.25504/FAIRsharing.a14123","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Common Bean Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food"],"taxonomies":["Phaseolus vulgaris"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1848,"relation":"undefined"}],"grants":[{"id":6767,"fairsharing_record_id":1096,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:28:13.192Z","updated_at":"2021-09-30T09:28:13.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6768,"fairsharing_record_id":1096,"organisation_id":1476,"relation":"maintains","created_at":"2021-09-30T09:28:13.224Z","updated_at":"2021-09-30T09:28:13.224Z","grant_id":null,"is_lead":false,"saved_state":{"id":1476,"name":"International Center for Tropical Agriculture (CIAT), Colombia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6769,"fairsharing_record_id":1096,"organisation_id":2969,"relation":"maintains","created_at":"2021-09-30T09:28:13.247Z","updated_at":"2021-09-30T09:28:13.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":2969,"name":"Universidad Tecnologica de Pereira (UTP), Columbia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1097","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T12:32:55.000Z","updated_at":"2022-07-20T12:28:29.312Z","metadata":{"doi":"10.25504/FAIRsharing.jT49Da","name":"Provenance Vocabulary","status":"ready","contacts":[{"contact_name":"Olaf Hartig","contact_email":"olaf.hartig@liu.se"}],"homepage":"http://purl.org/net/provenance/ns","identifier":1097,"description":"The Provenance Vocabulary provides classes and properties for describing provenance of Web data. The vocabulary focuses on two main use cases: 1.) It enables consumers of Web data to describe provenance of data retrieved from the Web and of data derived from such Web data. 2.) It enables providers of Web data to publish provenance-related metadata about their data. Notice, the vocabulary is not intended for describing provenance of other kinds of Web content. The Provenance Vocabulary is designed as a Web data specific specialization of the W3C PROV Ontology (PROV-O); classes and properties provided by the vocabulary are domain specific extensions of the more general concepts introduced in PROV-O. As a consequence, any Provenance Vocabulary based description of provenance can be easily interpreted and exchanged according to the W3C PROV family of standards. While this vocabulary is in a stable state, it is not being actively developed at this time.","abbreviation":null,"support_links":[{"url":"jun.zhao@cs.ox.ac.uk","name":"Jun Zhao","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-001431","bsg-s001431"],"name":"FAIRsharing record for: Provenance Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jT49Da","doi":"10.25504/FAIRsharing.jT49Da","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Provenance Vocabulary provides classes and properties for describing provenance of Web data. The vocabulary focuses on two main use cases: 1.) It enables consumers of Web data to describe provenance of data retrieved from the Web and of data derived from such Web data. 2.) It enables providers of Web data to publish provenance-related metadata about their data. Notice, the vocabulary is not intended for describing provenance of other kinds of Web content. The Provenance Vocabulary is designed as a Web data specific specialization of the W3C PROV Ontology (PROV-O); classes and properties provided by the vocabulary are domain specific extensions of the more general concepts introduced in PROV-O. As a consequence, any Provenance Vocabulary based description of provenance can be easily interpreted and exchanged according to the W3C PROV family of standards. While this vocabulary is in a stable state, it is not being actively developed at this time.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Sweden","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 1.0 Generic (CC BY 1.0)","licence_id":156,"licence_url":"https://creativecommons.org/licenses/by/1.0/","link_id":1804,"relation":"undefined"}],"grants":[{"id":6770,"fairsharing_record_id":1097,"organisation_id":693,"relation":"maintains","created_at":"2021-09-30T09:28:13.273Z","updated_at":"2021-09-30T09:28:13.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":693,"name":"Department of Computer and Information Science (IDA), Linkoeping University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6771,"fairsharing_record_id":1097,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:13.297Z","updated_at":"2021-09-30T09:28:13.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1098","type":"fairsharing_records","attributes":{"created_at":"2019-11-05T12:27:35.000Z","updated_at":"2022-07-20T12:45:47.350Z","metadata":{"doi":"10.25504/FAIRsharing.Hbvvle","name":"BpForms Grammar","status":"ready","contacts":[{"contact_name":"Karr Lab","contact_email":"info@karrlab.org"}],"homepage":"https://www.bpforms.org/#grammar","citations":[{"publication_id":2611}],"identifier":1098,"description":"The BpForms Grammar extends the IUPAC/IUBMB notation commonly used to represent unmodified DNA, RNA, and proteins to describe non-canonical forms of DNA, RNA, and proteins. Features include the representation of a wider range of monomeric forms, including monomeric forms that are not described in pre-defined alphabets; left and right caps such as 5' caps; intrastrand crosslinks (additional bonds between non-adjacent monomeric forms); nicks (absence of a bond between adjacent monomeric forms); and linear and circular topologies of polymers. BpForms has concrete semantics for generating molecular structures from its compressed representation of sequences of monomeric forms. The BpForms grammar is defined in Lark syntax , which is based on EBNF syntax","abbreviation":"BpForms Grammar","support_links":[{"url":"https://docs.karrlab.org/bpforms/master/0.0.9/grammar.html#","name":"Grammar Documentation","type":"Help documentation"},{"url":"https://github.com/KarrLab/bpforms","name":"Source code","type":"Github"}],"year_creation":2019},"legacy_ids":["bsg-001396","bsg-s001396"],"name":"FAIRsharing record for: BpForms Grammar","abbreviation":"BpForms Grammar","url":"https://fairsharing.org/10.25504/FAIRsharing.Hbvvle","doi":"10.25504/FAIRsharing.Hbvvle","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BpForms Grammar extends the IUPAC/IUBMB notation commonly used to represent unmodified DNA, RNA, and proteins to describe non-canonical forms of DNA, RNA, and proteins. Features include the representation of a wider range of monomeric forms, including monomeric forms that are not described in pre-defined alphabets; left and right caps such as 5' caps; intrastrand crosslinks (additional bonds between non-adjacent monomeric forms); nicks (absence of a bond between adjacent monomeric forms); and linear and circular topologies of polymers. BpForms has concrete semantics for generating molecular structures from its compressed representation of sequences of monomeric forms. The BpForms grammar is defined in Lark syntax , which is based on EBNF syntax","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Bioinformatics","Genetics"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2611,"pubmed_id":null,"title":"BpForms and BcForms: Tools for concretely describing non-canonical polymers and complexes to facilitate comprehensive biochemical networks","year":2019,"url":"https://arxiv.org/abs/1903.10042","authors":"Paul F. Lang, Yassmine Chebaro, Xiaoyue Zheng, John A. P. Sekar, Bilal Shaikh, Darren A. Natale, Jonathan R. Karr","journal":"arXiv","doi":null,"created_at":"2021-09-30T08:27:20.521Z","updated_at":"2021-09-30T08:27:20.521Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1232,"relation":"undefined"}],"grants":[{"id":6772,"fairsharing_record_id":1098,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:28:13.379Z","updated_at":"2021-09-30T09:28:13.379Z","grant_id":null,"is_lead":true,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6773,"fairsharing_record_id":1098,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:13.417Z","updated_at":"2021-09-30T09:31:49.206Z","grant_id":1341,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"INSPIRE","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6774,"fairsharing_record_id":1098,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:13.454Z","updated_at":"2021-09-30T09:32:29.011Z","grant_id":1639,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41 award","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8489,"fairsharing_record_id":1098,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:52.112Z","updated_at":"2021-09-30T09:32:52.181Z","grant_id":1812,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"MIRA R35 award","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1121","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:28:17.825Z","metadata":{"doi":"10.25504/FAIRsharing.vzrsab","name":"Uniprot Tissues controlled vocabulary","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@uniprot.org"}],"homepage":"https://www.uniprot.org/docs/tisslist","identifier":1121,"description":"The UniProt Tissue List is a controlled vocabulary of terms used to annotate biological tissues in the \"TISSUE\" topic of the RC line type. It also contains cross-references to other ontologies where tissue types are specified.","abbreviation":"Uniprot Tisslist","support_links":[{"url":"https://www.uniprot.org/contact","name":"Contact Form","type":"Contact form"},{"url":"https://web.expasy.org/docs/userman.html#Ref_line","name":"Manual: Reference Lines","type":"Help documentation"}]},"legacy_ids":["bsg-000293","bsg-s000293"],"name":"FAIRsharing record for: Uniprot Tissues controlled vocabulary","abbreviation":"Uniprot Tisslist","url":"https://fairsharing.org/10.25504/FAIRsharing.vzrsab","doi":"10.25504/FAIRsharing.vzrsab","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniProt Tissue List is a controlled vocabulary of terms used to annotate biological tissues in the \"TISSUE\" topic of the RC line type. It also contains cross-references to other ontologies where tissue types are specified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Organ","Tissue"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":64,"relation":"undefined"}],"grants":[{"id":6824,"fairsharing_record_id":1121,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:28:15.372Z","updated_at":"2021-09-30T09:28:15.372Z","grant_id":null,"is_lead":true,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1122","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:53.823Z","metadata":{"doi":"10.25504/FAIRsharing.2h33ax","name":"International Classification of Primary Care, 2nd Edition","status":"ready","contacts":[{"contact_name":"Diego Schrans (WICC Chair)","contact_email":"diego.schrans@urgent.be"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-of-primary-care","identifier":1122,"description":"The International Classification of Primary Care, 2nd Edition (ICPC-2) classifies patient data and clinical activity in the domains of General/Family Practice and primary care, taking into account the frequency distribution of problems seen in these domains. It allows classification of the patient’s reason for encounter (RFE), the problems/diagnosis managed, interventions, and the ordering of these data in an episode of care structure.","abbreviation":"ICPC-2","support_links":[{"url":"ceo@wonca.net","name":"WONCA Executive","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/International_Classification_of_Primary_Care","name":"Wikipedia","type":"Wikipedia"},{"url":"https://www.globalfamilydoctor.com/groups/WorkingParties/wicc.aspx","name":"About WICC and ICPC","type":"Help documentation"}],"year_creation":1998},"legacy_ids":["bsg-002597","bsg-s002597"],"name":"FAIRsharing record for: International Classification of Primary Care, 2nd Edition","abbreviation":"ICPC-2","url":"https://fairsharing.org/10.25504/FAIRsharing.2h33ax","doi":"10.25504/FAIRsharing.2h33ax","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Primary Care, 2nd Edition (ICPC-2) classifies patient data and clinical activity in the domains of General/Family Practice and primary care, taking into account the frequency distribution of problems seen in these domains. It allows classification of the patient’s reason for encounter (RFE), the problems/diagnosis managed, interventions, and the ordering of these data in an episode of care structure.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12513},{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16787}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Social Science","Medicine","Psychology","Primary Health Care","Physiology","Biomedical Science","Epidemiology"],"domains":["Electronic health record","Patient care","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1319,"pubmed_id":3961309,"title":"International classification of primary care.","year":1986,"url":"http://doi.org/10.3109/02813438609013970","authors":"Bentsen BG","journal":"Scand J Prim Health Care","doi":"10.3109/02813438609013970","created_at":"2021-09-30T08:24:47.401Z","updated_at":"2021-09-30T08:24:47.401Z"}],"licence_links":[{"licence_name":"ICPC-2 Policy on Copyright and Licencing","licence_id":416,"licence_url":"http://www.ph3c.org/4daction/w3_CatVisu/en/rules-%26-ethics.html?wCatIDAdmin=1101","link_id":1207,"relation":"undefined"}],"grants":[{"id":6827,"fairsharing_record_id":1122,"organisation_id":764,"relation":"maintains","created_at":"2021-09-30T09:28:15.475Z","updated_at":"2021-09-30T09:28:15.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":764,"name":"Directorate of eHealth, Norwegian Ministry of Health and Care Services, Oslo, Norway","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6825,"fairsharing_record_id":1122,"organisation_id":3255,"relation":"maintains","created_at":"2021-09-30T09:28:15.416Z","updated_at":"2021-09-30T09:28:15.416Z","grant_id":null,"is_lead":false,"saved_state":{"id":3255,"name":"World Organisation of Family Doctors WONCA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6826,"fairsharing_record_id":1122,"organisation_id":3256,"relation":"maintains","created_at":"2021-09-30T09:28:15.446Z","updated_at":"2021-09-30T09:28:15.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":3256,"name":"World Organisation of Family Doctors (WONCA) Working Party: International Classification (WICC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1123","type":"fairsharing_records","attributes":{"created_at":"2016-04-22T19:00:46.000Z","updated_at":"2022-07-20T12:38:41.908Z","metadata":{"doi":"10.25504/FAIRsharing.smr0rh","name":"ANSI/NISO Z39.96 JATS: Journal Article Tag Suite","status":"ready","contacts":[{"contact_name":"NISO General Contact","contact_email":"nisohq@niso.org"}],"homepage":"http://jats.niso.org/","identifier":1123,"description":"The Journal Article Tag Suite (JATS) provides a common XML format in which publishers and archives can exchange journal content. The JATS provides a set of XML elements and attributes for describing the textual and graphical content of journal articles as well as some non-article material such as letters, editorials, and book and product reviews. When the Tag Suite was originally released in 2003, it was named NLM Journal Archiving and Interchange Tag Suite. The most recent version is the ANSI/NISO Z39.96-2019 JATS version 1.2.","abbreviation":"JATS","support_links":[{"url":"https://www.niso.org/contact","name":"NISO Contact Form","type":"Contact form"},{"url":"http://www.mulberrytech.com/JATS/JATS-List/index.html","name":"Mailing Lists","type":"Mailing list"},{"url":"https://groups.niso.org/apps/group_public/project/details.php?project_id=133","name":"JATS Project Overview","type":"Help documentation"},{"url":"https://www.niso.org/standards-committees/jats","name":"JATS Working Group","type":"Help documentation"},{"url":"https://groups.niso.org/apps/org/workgroup_feeds/public_rss.php","name":"RSS Feed","type":"Blog/News"}],"year_creation":2003},"legacy_ids":["bsg-000649","bsg-s000649"],"name":"FAIRsharing record for: ANSI/NISO Z39.96 JATS: Journal Article Tag Suite","abbreviation":"JATS","url":"https://fairsharing.org/10.25504/FAIRsharing.smr0rh","doi":"10.25504/FAIRsharing.smr0rh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Journal Article Tag Suite (JATS) provides a common XML format in which publishers and archives can exchange journal content. The JATS provides a set of XML elements and attributes for describing the textual and graphical content of journal articles as well as some non-article material such as letters, editorials, and book and product reviews. When the Tag Suite was originally released in 2003, it was named NLM Journal Archiving and Interchange Tag Suite. The most recent version is the ANSI/NISO Z39.96-2019 JATS version 1.2.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13899},{"linking_record_name":"White House Office of Science and Technology Policy Collection","linking_record_id":4259,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15325}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Resource metadata","Annotation","Journal article","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":["Publishing"],"countries":["United States"],"publications":[{"id":1131,"pubmed_id":22140303,"title":"NISO Z39.96The Journal Article Tag Suite (JATS): What Happened to the NLM DTDs?","year":2011,"url":"http://doi.org/10.3998/3336451.0014.106","authors":"Beck J","journal":"J Electron Publ","doi":"10.3998/3336451.0014.106","created_at":"2021-09-30T08:24:25.499Z","updated_at":"2021-09-30T08:24:25.499Z"}],"licence_links":[],"grants":[{"id":6828,"fairsharing_record_id":1123,"organisation_id":2000,"relation":"maintains","created_at":"2021-09-30T09:28:15.499Z","updated_at":"2021-09-30T09:28:15.499Z","grant_id":null,"is_lead":true,"saved_state":{"id":2000,"name":"National Information Standards Organisation, NISO, Baltimore, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1113","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T16:25:38.000Z","updated_at":"2023-03-21T16:16:05.397Z","metadata":{"doi":"10.25504/FAIRsharing.032f20","name":"World Meteorological Organization GRIdded Binary Codes Edition 2","status":"ready","contacts":[],"homepage":"http://codes.wmo.int/_grib2","citations":[],"identifier":1113,"description":"The World Meteorological Organization (WMO) has adopted Edition 2 of the GRIB codes as a standard vocabulary to help with sharing gridded binary (GRIB) files. The GRIB2 codes are used internationally to identify weather parameters. In general, WMO Codes are definitions of particular concepts, provided by the WMO. Each code on the WMO site is published as an entry with its own unique identifier, a URI (Uniform Resource Identifier). The collection of statements in the definition table provide information about the code and its use. Often these statements link to other resources within the WMO registry and across the web. Codes are organised within registers, providing context for those codes. A list of related codes about a particular topic will be published as a register. Please note the GRIB2 Codes are distinct from the GRIB2 data format.","abbreviation":"WMO GRIB2 Codes","support_links":[{"url":"http://codes.wmo.int/ui/about/expectations","name":"What to expect about the WMO Codes Registry Service","type":"Help documentation"},{"url":"http://codes.wmo.int/ui/about/whatisacode","name":"What is a WMO Code?","type":"Help documentation"},{"url":"https://github.com/wmo-im/GRIB2","type":"Github"}]},"legacy_ids":["bsg-001571","bsg-s001571"],"name":"FAIRsharing record for: World Meteorological Organization GRIdded Binary Codes Edition 2","abbreviation":"WMO GRIB2 Codes","url":"https://fairsharing.org/10.25504/FAIRsharing.032f20","doi":"10.25504/FAIRsharing.032f20","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Meteorological Organization (WMO) has adopted Edition 2 of the GRIB codes as a standard vocabulary to help with sharing gridded binary (GRIB) files. The GRIB2 codes are used internationally to identify weather parameters. In general, WMO Codes are definitions of particular concepts, provided by the WMO. Each code on the WMO site is published as an entry with its own unique identifier, a URI (Uniform Resource Identifier). The collection of statements in the definition table provide information about the code and its use. Often these statements link to other resources within the WMO registry and across the web. Codes are organised within registers, providing context for those codes. A list of related codes about a particular topic will be published as a register. Please note the GRIB2 Codes are distinct from the GRIB2 data format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Meteorology"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Forecasting"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6803,"fairsharing_record_id":1113,"organisation_id":3254,"relation":"maintains","created_at":"2021-09-30T09:28:14.597Z","updated_at":"2021-09-30T09:28:14.597Z","grant_id":null,"is_lead":true,"saved_state":{"id":3254,"name":"World Meteorological Organization (WMO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1114","type":"fairsharing_records","attributes":{"created_at":"2020-04-08T18:29:45.000Z","updated_at":"2023-03-17T09:12:29.797Z","metadata":{"doi":"10.25504/FAIRsharing.X2qqiE","name":"Minimum information for publication of microplastics studies","status":"ready","contacts":[{"contact_name":"Alexandre Dehaut","contact_email":"alexandre.dehaut@anses.fr","contact_orcid":"0000-0001-5377-995X"}],"homepage":"https://www.sciencedirect.com/science/article/pii/S0165993618305089?via%3Dihub","citations":[{"publication_id":2851}],"identifier":1114,"description":"This guideline focuses on components to report in seafood studies for microplastic research.","abbreviation":"MIMS","support_links":[],"year_creation":2019},"legacy_ids":["bsg-001461","bsg-s001461"],"name":"FAIRsharing record for: Minimum information for publication of microplastics studies","abbreviation":"MIMS","url":"https://fairsharing.org/10.25504/FAIRsharing.X2qqiE","doi":"10.25504/FAIRsharing.X2qqiE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This guideline focuses on components to report in seafood studies for microplastic research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science","Food Chemistry"],"domains":["Environmental contaminant"],"taxonomies":["Not applicable"],"user_defined_tags":["microplastic","plastic","plastic pollution","seafood"],"countries":["France"],"publications":[{"id":2851,"pubmed_id":null,"title":"Current frontiers and recommendations for the study of microplastics in seafood","year":2019,"url":"https://www.sciencedirect.com/science/article/pii/S0165993618305089","authors":"Alexandre Dehaut, Ludovic Hermabessiere, Guillaume Duflos","journal":"TrAC Trends in Analytical Chemistry","doi":null,"created_at":"2021-09-30T08:27:50.698Z","updated_at":"2021-09-30T08:27:50.698Z"},{"id":3804,"pubmed_id":32394727,"title":"Reporting Guidelines to Increase the Reproducibility and Comparability of Research on Microplastics.","year":2020,"url":"https://doi.org/10.1177/0003702820930292","authors":"Cowger W, Booth AM, Hamilton BM, Thaysen C, Primpke S, Munno K, Lusher AL, Dehaut A, Vaz VP, Liboiron M, Devriese LI, Hermabessiere L, Rochman C, Athey SN, Lynch JM, De Frond H, Gray A, Jones OAH, Brander S, Steele C, Moore S, Sanchez A, Nel H","journal":"Applied spectroscopy","doi":"10.1177/0003702820930292","created_at":"2023-03-17T09:09:01.639Z","updated_at":"2023-03-17T09:09:01.639Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3127,"relation":"applies_to_content"}],"grants":[{"id":6804,"fairsharing_record_id":1114,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:28:14.638Z","updated_at":"2021-09-30T09:28:14.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6805,"fairsharing_record_id":1114,"organisation_id":99,"relation":"funds","created_at":"2021-09-30T09:28:14.756Z","updated_at":"2021-09-30T09:28:14.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":99,"name":"ANSES: French Agency for Food, Environmental and Occupational Health \u0026 Safety","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6806,"fairsharing_record_id":1114,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:28:14.794Z","updated_at":"2021-09-30T09:32:16.636Z","grant_id":1545,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-15- CE34-0006-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1115","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T11:37:38.000Z","updated_at":"2022-12-13T09:38:22.621Z","metadata":{"doi":"10.25504/FAIRsharing.iBQoXf","name":"Parameter Description Language","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://ivoa.net/documents/PDL/index.html","citations":[{"publication_id":2949}],"identifier":1115,"description":"The Parameter Description Language (PDL) describes parameters in a rigorous data model. With no loss of generality, we will represent this data model using XML. It intends to be a expressive language for self-descriptive web services exposing the semantic nature of input and output parameters, as well as all necessary complex constraints. PDL is a step forward towards true web services interoperability.","abbreviation":"PDL","year_creation":2014},"legacy_ids":["bsg-001189","bsg-s001189"],"name":"FAIRsharing record for: Parameter Description Language","abbreviation":"PDL","url":"https://fairsharing.org/10.25504/FAIRsharing.iBQoXf","doi":"10.25504/FAIRsharing.iBQoXf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Parameter Description Language (PDL) describes parameters in a rigorous data model. With no loss of generality, we will represent this data model using XML. It intends to be a expressive language for self-descriptive web services exposing the semantic nature of input and output parameters, as well as all necessary complex constraints. PDL is a step forward towards true web services interoperability.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11478}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2949,"pubmed_id":null,"title":"Parameter Description Language Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.0523Z","authors":"Zwolf, Carlo Maria; Harrison, Paul; Garrido, Julian; Ruiz, Jose Enrique; Le Petit, Franck","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.466Z","updated_at":"2021-09-30T08:28:03.466Z"}],"licence_links":[],"grants":[{"id":6808,"fairsharing_record_id":1115,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:14.868Z","updated_at":"2021-09-30T09:28:14.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6807,"fairsharing_record_id":1115,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:14.829Z","updated_at":"2021-09-30T09:28:14.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1116","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T16:51:38.000Z","updated_at":"2022-07-20T09:09:16.969Z","metadata":{"doi":"10.25504/FAIRsharing.8f9581","name":"British Oceanographic Data Centre Parameter Usage Vocabulary","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"vocab.services@bodc.ac.uk"}],"homepage":"https://www.bodc.ac.uk/resources/vocabularies/parameter_codes/","citations":[],"identifier":1116,"description":"The British Oceanographic Data Centre Parameter Usage Vocabulary (BODC PUV) is a controlled vocabulary for labelling variables in databases and data files in oceanography and related domains. It is a collection of unique and persistent identifiers attached to structurally logical labels and textual definitions. This vocabulary is also frequently referred to as the PO1 PUV.","abbreviation":"BODC PUV","support_links":[{"url":"https://www.bodc.ac.uk/resources/vocabularies/parameter_codes/documents/BODC_P01_PUV_semantic_model_Aug19.pdf","name":"Presentation on BODC PUV Semantic Model (PDF)","type":"Help documentation"},{"url":"https://github.com/nvs-vocabs/P01","name":"GitHub Project","type":"Github"}]},"legacy_ids":["bsg-001572","bsg-s001572"],"name":"FAIRsharing record for: British Oceanographic Data Centre Parameter Usage Vocabulary","abbreviation":"BODC PUV","url":"https://fairsharing.org/10.25504/FAIRsharing.8f9581","doi":"10.25504/FAIRsharing.8f9581","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The British Oceanographic Data Centre Parameter Usage Vocabulary (BODC PUV) is a controlled vocabulary for labelling variables in databases and data files in oceanography and related domains. It is a collection of unique and persistent identifiers attached to structurally logical labels and textual definitions. This vocabulary is also frequently referred to as the PO1 PUV.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6809,"fairsharing_record_id":1116,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:28:14.901Z","updated_at":"2021-09-30T09:28:14.901Z","grant_id":null,"is_lead":true,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1117","type":"fairsharing_records","attributes":{"created_at":"2020-09-16T11:56:29.000Z","updated_at":"2022-07-20T11:12:36.996Z","metadata":{"doi":"10.25504/FAIRsharing.b9e94b","name":"International Consortium for Atmospheric Research on Transport and Transformation Format","status":"ready","contacts":[{"contact_name":"Ali Aknan","contact_email":"ali.a.aknan@nasa.gov"}],"homepage":"http://www-air.larc.nasa.gov/missions/etc/IcarttDataFormat.htm","identifier":1117,"description":"The International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) file format is a text-based, self-describing, and relatively simple-to-use file structure. This ASCIIfile format was built on two well-established airborne data formats: NASA Ames and GTE. Like its predecessors, the ICARTT file format is designed for handling airborne insitu measurement data but having limited capability to accommodate data from airborne or ground-based remote sensing (e.g. LIDAR), ground-based measurements, and aspects of satellite data.","abbreviation":"ICARTT Format","support_links":[{"url":"gao.chen@nasa.gov","name":"Gao Chen","type":"Support email"},{"url":"james.h.crawford@nasa.gov","name":"James Crawford","type":"Support email"},{"url":"eric.j.williams@noaa.gov","name":"Eric Williams","type":"Support email"},{"url":"https://espoarchive.nasa.gov/archive/help/icartt_format","name":"ICARTT vs Ames Formats","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001525","bsg-s001525"],"name":"FAIRsharing record for: International Consortium for Atmospheric Research on Transport and Transformation Format","abbreviation":"ICARTT Format","url":"https://fairsharing.org/10.25504/FAIRsharing.b9e94b","doi":"10.25504/FAIRsharing.b9e94b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) file format is a text-based, self-describing, and relatively simple-to-use file structure. This ASCIIfile format was built on two well-established airborne data formats: NASA Ames and GTE. Like its predecessors, the ICARTT file format is designed for handling airborne insitu measurement data but having limited capability to accommodate data from airborne or ground-based remote sensing (e.g. LIDAR), ground-based measurements, and aspects of satellite data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geophysics","Earth Science","Remote Sensing"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA ICARTT Copyright Notice","licence_id":535,"licence_url":"https://www-air.larc.nasa.gov/missions/etc/IcarttDataFormat.htm#cn","link_id":46,"relation":"undefined"}],"grants":[{"id":6810,"fairsharing_record_id":1117,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:14.924Z","updated_at":"2021-09-30T09:28:14.924Z","grant_id":null,"is_lead":true,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1128","type":"fairsharing_records","attributes":{"created_at":"2015-11-17T11:39:57.000Z","updated_at":"2022-12-27T17:27:53.775Z","metadata":{"doi":"10.25504/FAIRsharing.25k4yp","name":"Fast Healthcare Interoperability Resources","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"fmgcontact@hl7.org"}],"homepage":"https://www.hl7.org/fhir/index.html","citations":[],"identifier":1128,"description":"FHIR (Fast Healthcare Interoperability Resources) is designed to enable information exchange to support the provision of healthcare in a wide variety of settings. The specification builds on and adapts modern, widely used RESTful practices to enable the provision of integrated healthcare across a wide range of teams and organizations. The intended scope of FHIR is broad, covering human and veterinary, clinical care, public health, clinical trials, administration and financial aspects. The standard has been developed by an International group of people and is intended for global use and in a wide variety of architectures and scenarios.","abbreviation":"FHIR","support_links":[{"url":"http://wiki.hl7.org/index.php?title=FHIR_Blogs","name":"FHIR Blogs","type":"Blog/News"},{"url":"https://chat.fhir.org/","name":"Implementer assistance","type":"Forum"},{"url":"http://hl7.org/fhir/documentation.html","name":"Documentation","type":"Help documentation"},{"url":"https://www.hl7.org/fhir/toc.html","name":"FHIR Site Table of Contents","type":"Help documentation"},{"url":"https://twitter.com/FHIRnews","name":"@FHIRnews","type":"Twitter"}],"year_creation":2012,"associated_tools":[{"url":"https://github.com/smart-on-fhir/Swift-FHIR","name":"Swift-FHIR"},{"url":"http://hl7.org/fhir/implsupport-module.html","name":"Implementer support page"}]},"legacy_ids":["bsg-000625","bsg-s000625"],"name":"FAIRsharing record for: Fast Healthcare Interoperability Resources","abbreviation":"FHIR","url":"https://fairsharing.org/10.25504/FAIRsharing.25k4yp","doi":"10.25504/FAIRsharing.25k4yp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FHIR (Fast Healthcare Interoperability Resources) is designed to enable information exchange to support the provision of healthcare in a wide variety of settings. The specification builds on and adapts modern, widely used RESTful practices to enable the provision of integrated healthcare across a wide range of teams and organizations. The intended scope of FHIR is broad, covering human and veterinary, clinical care, public health, clinical trials, administration and financial aspects. The standard has been developed by an International group of people and is intended for global use and in a wide variety of architectures and scenarios.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17323},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11037},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12220},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12487},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13349},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14562},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16920}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":["Interoperability"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2068,"relation":"undefined"},{"licence_name":"FHIR License","licence_id":314,"licence_url":"http://hl7.org/fhir/license.html","link_id":2067,"relation":"undefined"}],"grants":[{"id":6834,"fairsharing_record_id":1128,"organisation_id":1223,"relation":"maintains","created_at":"2021-09-30T09:28:15.694Z","updated_at":"2021-09-30T09:28:15.694Z","grant_id":null,"is_lead":true,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1129","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2021-11-24T13:14:27.084Z","metadata":{"doi":"10.25504/FAIRsharing.c5qpnc","name":"Non-Pharmacological Interventions","status":"deprecated","contacts":[{"contact_name":"The Loc NGUYEN","contact_email":"the-loc.nguyen@lirmm.fr"}],"homepage":"https://bioportal.bioontology.org/ontologies/NPI","identifier":1129,"description":"Terminologies of Non-Pharmacological Interventions","abbreviation":"NPI","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NPI","name":"NPI","portal":"BioPortal"}],"deprecation_date":"2021-03-24","deprecation_reason":"The project page and homepage for this resource no longer exists."},"legacy_ids":["bsg-000967","bsg-s000967"],"name":"FAIRsharing record for: Non-Pharmacological Interventions","abbreviation":"NPI","url":"https://fairsharing.org/10.25504/FAIRsharing.c5qpnc","doi":"10.25504/FAIRsharing.c5qpnc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminologies of Non-Pharmacological Interventions","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":6835,"fairsharing_record_id":1129,"organisation_id":3101,"relation":"maintains","created_at":"2021-09-30T09:28:15.726Z","updated_at":"2021-09-30T09:28:15.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6836,"fairsharing_record_id":1129,"organisation_id":1675,"relation":"maintains","created_at":"2021-09-30T09:28:15.759Z","updated_at":"2021-09-30T09:28:15.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":1675,"name":"Laboratory of Informatics, Robotics and Microelectronics of Montpellier (LIRMM)","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1130","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T19:56:11.000Z","updated_at":"2023-09-29T11:54:57.894Z","metadata":{"doi":"10.25504/FAIRsharing.f35b14","name":"Language resource management -- Semantic annotation framework (SemAF) -- Part 1: Time and events (SemAF-Time, ISO-TimeML)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37331.html","citations":[],"identifier":1130,"description":"Temporal information in natural language texts is an increasingly important component to the understanding of those texts. ISO 24617 (known as SemAF-Time) specifies a formalized XML-based markup language called ISO-TimeML, with a systematic way to extract and represent temporal information, as well as to facilitate the exchange of temporal information, both between operational language processing systems and between different temporal representation schemes. It was created to accommodate two pre-existing documents for annotating temporal information, TimeML 1.2.1 and TimeML Annotation Guidelines, into ISO international standards.","abbreviation":"ISO 24617-1:2012","support_links":[{"url":"http://www.timeml.org/publications/timeMLdocs/timeml_1.2.1.html","name":"TimeML 1.2.1 (pre-ISO standard)","type":"Help documentation"},{"url":"https://www.iso.org/contents/data/standard/03/73/37331.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2004},"legacy_ids":["bsg-001277","bsg-s001277"],"name":"FAIRsharing record for: Language resource management -- Semantic annotation framework (SemAF) -- Part 1: Time and events (SemAF-Time, ISO-TimeML)","abbreviation":"ISO 24617-1:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.f35b14","doi":"10.25504/FAIRsharing.f35b14","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Temporal information in natural language texts is an increasingly important component to the understanding of those texts. ISO 24617 (known as SemAF-Time) specifies a formalized XML-based markup language called ISO-TimeML, with a systematic way to extract and represent temporal information, as well as to facilitate the exchange of temporal information, both between operational language processing systems and between different temporal representation schemes. It was created to accommodate two pre-existing documents for annotating temporal information, TimeML 1.2.1 and TimeML Annotation Guidelines, into ISO international standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1393,"relation":"undefined"}],"grants":[{"id":6837,"fairsharing_record_id":1130,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:15.839Z","updated_at":"2021-09-30T09:28:15.839Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10919,"fairsharing_record_id":1130,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:08:52.718Z","updated_at":"2023-09-27T14:08:52.718Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1118","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:32.451Z","metadata":{"doi":"10.25504/FAIRsharing.67sssf","name":"InterLex","status":"in_development","contacts":[{"contact_name":"General Contact","contact_email":"info@scicrunch.org"}],"homepage":"https://scicrunch.org/scicrunch/interlex/dashboard","identifier":1118,"description":"The InterLex terminology is a lexicon of biomedical terms built on the foundation of NeuroLex and contains all of the existing NeuroLex terms. The initial entries in NeuroLex were built from the NIFSTD ontologies and BIRNLex (Biomedical Informatics Research Network Project Lexicon). Final content review from NeuroLex is still ongoing.","abbreviation":"InterLex","support_links":[{"url":"https://scicrunch.org/scicrunch/interlex/release-notes","name":"Term Release Notes","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-002584","bsg-s002584"],"name":"FAIRsharing record for: InterLex","abbreviation":"InterLex","url":"https://fairsharing.org/10.25504/FAIRsharing.67sssf","doi":"10.25504/FAIRsharing.67sssf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The InterLex terminology is a lexicon of biomedical terms built on the foundation of NeuroLex and contains all of the existing NeuroLex terms. The initial entries in NeuroLex were built from the NIFSTD ontologies and BIRNLex (Biomedical Informatics Research Network Project Lexicon). Final content review from NeuroLex is still ongoing.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11047},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11170}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Neurobiology","Biomedical Science"],"domains":["Imaging","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":893,"pubmed_id":24009581,"title":"NeuroLex.org: an online framework for neuroscience knowledge.","year":2013,"url":"http://doi.org/10.3389/fninf.2013.00018","authors":"Larson SD,Martone ME","journal":"Front Neuroinform","doi":"10.3389/fninf.2013.00018","created_at":"2021-09-30T08:23:58.689Z","updated_at":"2021-09-30T08:23:58.689Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":171,"relation":"undefined"},{"licence_name":"SciCrunch Terms of Service","licence_id":735,"licence_url":"https://scicrunch.org/page/terms","link_id":168,"relation":"undefined"}],"grants":[{"id":6811,"fairsharing_record_id":1118,"organisation_id":990,"relation":"maintains","created_at":"2021-09-30T09:28:14.949Z","updated_at":"2021-09-30T09:28:14.949Z","grant_id":null,"is_lead":true,"saved_state":{"id":990,"name":"FAIR Data Informatics Lab, University of California, San Diego, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1119","type":"fairsharing_records","attributes":{"created_at":"2020-02-13T13:46:06.000Z","updated_at":"2022-07-20T12:45:47.973Z","metadata":{"doi":"10.25504/FAIRsharing.J1aPiC","name":"FAANG metadata analysis specification","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"faang-dcc@ebi.ac.uk"}],"homepage":"https://github.com/FAANG/dcc-metadata/blob/master/docs/faang_analysis_metadata.md","identifier":1119,"description":"The FAANG metadata analysis specification describes the specification for all analysis metadata as part of the larger FAANG metadata guidance project. Analysis metadata needs to contain the following process attributes: input data (a list of files used as input and references to the experiment records in a data archive), reference data (e.g. genome assembly or gene set), and analysis protocol (a precise description of the analysis protocol).","abbreviation":null,"year_creation":2016,"associated_tools":[{"url":"http://www.ebi.ac.uk/vg/faang","name":"FAANG Metadata Validation Tool"}]},"legacy_ids":["bsg-001449","bsg-s001449"],"name":"FAIRsharing record for: FAANG metadata analysis specification","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.J1aPiC","doi":"10.25504/FAIRsharing.J1aPiC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAANG metadata analysis specification describes the specification for all analysis metadata as part of the larger FAANG metadata guidance project. Analysis metadata needs to contain the following process attributes: input data (a list of files used as input and references to the experiment records in a data archive), reference data (e.g. genome assembly or gene set), and analysis protocol (a precise description of the analysis protocol).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Analysis","Protocol","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Whole genome sequencing"],"taxonomies":["Bos taurus","Bubalus bubalis","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[],"licence_links":[{"licence_name":"FAANG Apache License","licence_id":308,"licence_url":"https://github.com/FAANG/validate-metadata/blob/master/LICENSE","link_id":1605,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":1604,"relation":"undefined"}],"grants":[{"id":6812,"fairsharing_record_id":1119,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:14.979Z","updated_at":"2021-09-30T09:28:14.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6813,"fairsharing_record_id":1119,"organisation_id":1069,"relation":"maintains","created_at":"2021-09-30T09:28:15.022Z","updated_at":"2021-09-30T09:28:15.022Z","grant_id":null,"is_lead":true,"saved_state":{"id":1069,"name":"Functional Annotation of Animal Genomes (FAANG) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1124","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2021-11-24T13:14:07.280Z","metadata":{"doi":"10.25504/FAIRsharing.9pm45h","name":"Diabetes Mellitus Diagnosis Ontology","status":"deprecated","contacts":[{"contact_name":"Shaker El-Sappagh","contact_email":"shaker_elsapagh@yahoo.com"}],"homepage":"https://link.springer.com/content/pdf/10.1186/s40535-016-0021-2.pdf","identifier":1124,"description":"An ontology for diagnosis of diabetes containing the diabetes related complications, symptoms, drugs, lab tests, etc.","abbreviation":"DDO","year_creation":2015,"deprecation_date":"2021-03-24","deprecation_reason":"This resource no longer exists in BioPortal, and a project homepage cannot be found."},"legacy_ids":["bsg-000881","bsg-s000881"],"name":"FAIRsharing record for: Diabetes Mellitus Diagnosis Ontology","abbreviation":"DDO","url":"https://fairsharing.org/10.25504/FAIRsharing.9pm45h","doi":"10.25504/FAIRsharing.9pm45h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for diagnosis of diabetes containing the diabetes related complications, symptoms, drugs, lab tests, etc.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Diabetology"],"domains":["Diagnosis","Diabetes mellitus"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Egypt","South Korea"],"publications":[{"id":2329,"pubmed_id":null,"title":"DDO: a diabetes mellitus diagnosis ontology","year":2016,"url":"https://link.springer.com/content/pdf/10.1186/s40535-016-0021-2.pdf","authors":"ShakerEl‑Sappagh and FarmanAli","journal":"Applied Informatics","doi":null,"created_at":"2021-09-30T08:26:45.942Z","updated_at":"2021-09-30T08:26:45.942Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1125","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T10:39:10.000Z","updated_at":"2023-06-02T15:14:58.473Z","metadata":{"doi":"10.25504/FAIRsharing.2QpmkQ","name":"Prehistory and Protohistory Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/905/en/","citations":[],"identifier":1125,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Prehistory and Protohistory\" FRANCIS database (1972-2015). It consists of 3093 entries mainly in 2 languages (English and French) grouped under 107 collections","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001406","bsg-s001406"],"name":"FAIRsharing record for: Prehistory and Protohistory Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2QpmkQ","doi":"10.25504/FAIRsharing.2QpmkQ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Prehistory and Protohistory\" FRANCIS database (1972-2015). It consists of 3093 entries mainly in 2 languages (English and French) grouped under 107 collections","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11291}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Prehistory","Ancient History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Protohistory"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1348,"relation":"undefined"}],"grants":[{"id":6830,"fairsharing_record_id":1125,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:15.569Z","updated_at":"2021-09-30T09:28:15.569Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6829,"fairsharing_record_id":1125,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:15.530Z","updated_at":"2021-09-30T09:28:15.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1126","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T12:43:26.624Z","metadata":{"doi":"10.25504/FAIRsharing.493qns","name":"Platynereis Developmental Stages","status":"in_development","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"https://github.com/obophenotype/developmental-stage-ontologies/tree/master/src/pdumdv","identifier":1126,"description":"Life cycle stages for Platynereis dumerilii. The status of this resource is \"in development\", confirmed via developer remarks within the GitHub project stating that the ontology is not ready.","abbreviation":"PDUMDV","support_links":[{"url":"https://github.com/obophenotype/developmental-stage-ontologies","name":"GitHub Main Project site","type":"Github"},{"url":"https://github.com/obophenotype/developmental-stage-ontologies/wiki","name":"Main Project wiki","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDUMDV","name":"PDUMDV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pdumdv.html","name":"pdumdv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000766","bsg-s000766"],"name":"FAIRsharing record for: Platynereis Developmental Stages","abbreviation":"PDUMDV","url":"https://fairsharing.org/10.25504/FAIRsharing.493qns","doi":"10.25504/FAIRsharing.493qns","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life cycle stages for Platynereis dumerilii. The status of this resource is \"in development\", confirmed via developer remarks within the GitHub project stating that the ontology is not ready.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science"],"domains":["Life cycle stage"],"taxonomies":["Platynereis dumerilii"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6831,"fairsharing_record_id":1126,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:28:15.601Z","updated_at":"2021-09-30T09:28:15.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1127","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:19:25.000Z","updated_at":"2022-12-13T10:25:45.279Z","metadata":{"doi":"10.25504/FAIRsharing.vVdc4Q","name":"IVOA Web Services Basic Profile","status":"deprecated","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/WSBasicProfile/","citations":[],"identifier":1127,"description":"The IVOA Web Services Basic Profile describes rules to take into account when implementing SOAP-based web services for the Virtual Observatory. It explains also how to check conformance to these rules. It can be read as a \"Guideline to VO Web Service Interoperability\" or a \"How to provide interoperable VO web services\".","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/documents/WSBasicProfile/20101216/REC-Basic-Profile-1.0-20101216.html","name":"View Standard","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2016-10-02","deprecation_reason":"The IVOA Web Services Basic Profile was deprecated in 2016. The reason for the deprecation is because of obsolete technology: the document describes the IVOA recommendation for implementing SOAP (Simple Object Access Protocol) web services. In the IVOA now, SOAP has been replaced with the REST (Representational State Transfer) as the best approach for implementing web services."},"legacy_ids":["bsg-001195","bsg-s001195"],"name":"FAIRsharing record for: IVOA Web Services Basic Profile","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.vVdc4Q","doi":"10.25504/FAIRsharing.vVdc4Q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA Web Services Basic Profile describes rules to take into account when implementing SOAP-based web services for the Virtual Observatory. It explains also how to check conformance to these rules. It can be read as a \"Guideline to VO Web Service Interoperability\" or a \"How to provide interoperable VO web services\".","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11464}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6833,"fairsharing_record_id":1127,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:15.655Z","updated_at":"2021-09-30T09:28:15.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6832,"fairsharing_record_id":1127,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:15.624Z","updated_at":"2021-09-30T09:28:15.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"895","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.388Z","metadata":{"doi":"10.25504/FAIRsharing.zj850n","name":"UniProtKB XML Format","status":"ready","contacts":[{"contact_name":"Uniprot staff","contact_email":"help@uniprot.org"}],"homepage":"http://www.uniprot.org/docs/uniprot.xsd","identifier":895,"description":"XML Schema definition for the UniProtKB XML format.","abbreviation":null,"support_links":[{"url":"http://www.uniprot.org/contact","type":"Contact form"}],"year_creation":2011},"legacy_ids":["bsg-000269","bsg-s000269"],"name":"FAIRsharing record for: UniProtKB XML Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zj850n","doi":"10.25504/FAIRsharing.zj850n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Schema definition for the UniProtKB XML format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6384,"fairsharing_record_id":895,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:27:58.747Z","updated_at":"2021-09-30T09:27:58.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"896","type":"fairsharing_records","attributes":{"created_at":"2018-04-09T18:00:09.000Z","updated_at":"2021-11-24T13:18:20.186Z","metadata":{"doi":"10.25504/FAIRsharing.mrpMBj","name":"Open mHealth","status":"ready","contacts":[{"contact_email":"simona@openmhealth.org"}],"homepage":"http://www.openmhealth.org/documentation/#/schema-docs/schema-library","identifier":896,"description":"Open Standard for Mobile Health Data. This standard is composed of a number of related schemas. Widely-used clinical measures were identified and clinical experts were consulted to identify the most important distinctions for the schemas' clinical use. Use cases were then defined that included these measures in new models of care enabled by mHealth technology. While there isn’t one “correct” schema for any given measure, they aim to offer an ideal format and description of digital health data for supporting clinical and self care.","abbreviation":"Open mHealth","support_links":[{"url":"https://groups.google.com/forum/#!forum/omh-developers","name":"Developer Mailing List","type":"Mailing list"},{"url":"http://www.openmhealth.org/documentation/#/schema-docs/schema-design-principles","name":"Schema Design Principles","type":"Help documentation"}],"year_creation":2015,"associated_tools":[{"url":"https://github.com/openmhealth/schemas","name":"Schema library"},{"url":"https://github.com/openmhealth/shimmer","name":"shimmer"}]},"legacy_ids":["bsg-001170","bsg-s001170"],"name":"FAIRsharing record for: Open mHealth","abbreviation":"Open mHealth","url":"https://fairsharing.org/10.25504/FAIRsharing.mrpMBj","doi":"10.25504/FAIRsharing.mrpMBj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Standard for Mobile Health Data. This standard is composed of a number of related schemas. Widely-used clinical measures were identified and clinical experts were consulted to identify the most important distinctions for the schemas' clinical use. Use cases were then defined that included these measures in new models of care enabled by mHealth technology. While there isn’t one “correct” schema for any given measure, they aim to offer an ideal format and description of digital health data for supporting clinical and self care.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Health Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1273,"relation":"undefined"}],"grants":[{"id":6385,"fairsharing_record_id":896,"organisation_id":2260,"relation":"maintains","created_at":"2021-09-30T09:27:58.786Z","updated_at":"2021-09-30T09:27:58.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":2260,"name":"Open mHealth","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6387,"fairsharing_record_id":896,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:58.855Z","updated_at":"2021-09-30T09:31:28.592Z","grant_id":1186,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"ACI-1640813","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8166,"fairsharing_record_id":896,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:31:17.875Z","updated_at":"2021-09-30T09:31:17.942Z","grant_id":1107,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"1U54EB020404","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6386,"fairsharing_record_id":896,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:27:58.818Z","updated_at":"2021-09-30T09:29:42.595Z","grant_id":369,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"1R24ES028492-01","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"897","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T18:07:10.000Z","updated_at":"2022-07-20T09:33:18.225Z","metadata":{"name":"Structured Vocabulary for information retrieval","status":"deprecated","contacts":[],"homepage":"https://shop.bsigroup.com/products/structured-vocabularies-for-information-retrieval-guide-exchange-formats-and-protocols-for-interoperability/standard","citations":[],"identifier":897,"description":"Structured Vocabulary for information retrieval (DD 8723-5) recommends a standard format for exchange of whole thesauri or subsets thereof. The format is applicable to thesauri that conform to BS 8723-2, utilizing any or all of the optional features described therein. Equally it supports multilingual thesauri displaying structural unity as described in BS 8723-4:2007, 4.2. DD 8723-5 also considers the interaction between a computer application acting as a server for a structured vocabulary (the server) and an application applying that structured vocabulary to a particular information retrieval problem (the client). It considers only the highest level of protocol, and assumes the existence of lower level network services and protocols that will be required to support computer-to-computer communication over a network. This publication is not to be regarded as a British Standard.","abbreviation":"DD 8723-5:2008","year_creation":2005,"deprecation_date":"2022-03-25","deprecation_reason":"This document has been withdrawn by the British Standards Institute, although it is still available to purchase."},"legacy_ids":["bsg-001272","bsg-s001272"],"name":"FAIRsharing record for: Structured Vocabulary for information retrieval","abbreviation":"DD 8723-5:2008","url":"https://fairsharing.org/fairsharing_records/897","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Structured Vocabulary for information retrieval (DD 8723-5) recommends a standard format for exchange of whole thesauri or subsets thereof. The format is applicable to thesauri that conform to BS 8723-2, utilizing any or all of the optional features described therein. Equally it supports multilingual thesauri displaying structural unity as described in BS 8723-4:2007, 4.2. DD 8723-5 also considers the interaction between a computer application acting as a server for a structured vocabulary (the server) and an application applying that structured vocabulary to a particular information retrieval problem (the client). It considers only the highest level of protocol, and assumes the existence of lower level network services and protocols that will be required to support computer-to-computer communication over a network. This publication is not to be regarded as a British Standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":["thesaurus"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6388,"fairsharing_record_id":897,"organisation_id":323,"relation":"maintains","created_at":"2021-09-30T09:27:58.887Z","updated_at":"2022-01-21T12:51:08.371Z","grant_id":null,"is_lead":true,"saved_state":{"id":323,"name":"British Standards Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"898","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.626Z","metadata":{"doi":"10.25504/FAIRsharing.hpmpyx","name":"Cancer Chemoprevention Ontology","status":"ready","contacts":[{"contact_name":"Dimitris Zeginis","contact_email":"zeginis@uom.gr"}],"homepage":"http://bioportal.bioontology.org/ontologies/CANCO","identifier":898,"description":"The Cancer Chemoprevention Ontology constitutes a vocabulary that is able to describe and semantically interconnect the different paradigms of the cancer chemoprevention domain.","abbreviation":"CanCO","support_links":[{"url":"http://www.semantic-web-journal.net/content/collaborative-development-common-semantic-model-interlinking-cancer-chemoprevention-linked-d","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CANCO","name":"CANCO","portal":"BioPortal"}]},"legacy_ids":["bsg-002800","bsg-s002800"],"name":"FAIRsharing record for: Cancer Chemoprevention Ontology","abbreviation":"CanCO","url":"https://fairsharing.org/10.25504/FAIRsharing.hpmpyx","doi":"10.25504/FAIRsharing.hpmpyx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer Chemoprevention Ontology constitutes a vocabulary that is able to describe and semantically interconnect the different paradigms of the cancer chemoprevention domain.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11723}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cheminformatics","Medicine","Health Science","Biomedical Science"],"domains":["Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Greece","Ireland"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"899","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:10:35.311Z","metadata":{"doi":"10.25504/FAIRsharing.b7evv9","name":"MeGO","status":"ready","contacts":[{"contact_name":"Ariane Toussaint","contact_email":"ariane.toussaint@ulb.ac.be"}],"homepage":"http://bioportal.bioontology.org/ontologies/MEGO/?p=summary","citations":[],"identifier":899,"description":"MeGO is dedicated to the functions of mobile genetic elements. The terms defined in MeGO are used to annotate phage and plasmid protein families in ACLAME. MeGO is a non-OBO ontology expanded from the Phage Ontology (PhiGO). ","abbreviation":"MeGO","support_links":[{"url":"http://aclame.ulb.ac.be/Forums/viewtopic.php?f=5\u0026t=2\u0026sid=592cd9a21fcaa003386b065c00b28349","type":"Forum"},{"url":"http://aclame.ulb.ac.be/Classification/mego.html","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEGO","name":"MEGO","portal":"BioPortal"}]},"legacy_ids":["bsg-002578","bsg-s002578"],"name":"FAIRsharing record for: MeGO","abbreviation":"MeGO","url":"https://fairsharing.org/10.25504/FAIRsharing.b7evv9","doi":"10.25504/FAIRsharing.b7evv9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MeGO is dedicated to the functions of mobile genetic elements. The terms defined in MeGO are used to annotate phage and plasmid protein families in ACLAME. MeGO is a non-OBO ontology expanded from the Phage Ontology (PhiGO). ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics"],"domains":["Gene Ontology enrichment","Plasmid","Transcript","Mobile genetic element"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1752,"pubmed_id":15727134,"title":"MEGO: gene functional module expression based on gene ontology.","year":2005,"url":"http://doi.org/10.2144/05382RR04","authors":"Tu K,Yu H,Zhu M","journal":"Biotechniques","doi":"10.2144/05382RR04","created_at":"2021-09-30T08:25:36.646Z","updated_at":"2021-09-30T08:25:36.646Z"}],"licence_links":[],"grants":[{"id":6389,"fairsharing_record_id":899,"organisation_id":1884,"relation":"maintains","created_at":"2021-09-30T09:27:58.973Z","updated_at":"2021-09-30T09:27:58.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":1884,"name":"Mobile genetic elements Ontology (MeGO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"900","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2023-01-03T11:12:51.429Z","metadata":{"doi":"10.25504/FAIRsharing.akmeb9","name":"Vertebrate Taxonomy Ontology","status":"ready","contacts":[{"contact_name":"James Balhoff","contact_email":"balhoff@nescent.org"}],"homepage":"https://gitlab.com/phenoscape/vto","citations":[],"identifier":900,"description":"The Vertebrate Taxonomy Ontology includes both extinct and extant vertebrates, aiming to provide one comprehensive hierarchy. The hierarchy backbone for extant taxa is based on the NCBI taxonomy. Since the NCBI taxonomy only includes species associated with archived genetic data, to complement this, we also incorporate taxonomic information across the vertebrates from the Paleobiology Database (PaleoDB). The Teleost Taxonomy Ontology (TTO) and AmphibiaWeb (AWeb) are incorporated to provide a more authoritative hierarchy and a richer set of names for specific taxonomic groups.","abbreviation":"VTO","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VTO","name":"VTO","portal":"BioPortal"}]},"legacy_ids":["bsg-000960","bsg-s000960"],"name":"FAIRsharing record for: Vertebrate Taxonomy Ontology","abbreviation":"VTO","url":"https://fairsharing.org/10.25504/FAIRsharing.akmeb9","doi":"10.25504/FAIRsharing.akmeb9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vertebrate Taxonomy Ontology includes both extinct and extant vertebrates, aiming to provide one comprehensive hierarchy. The hierarchy backbone for extant taxa is based on the NCBI taxonomy. Since the NCBI taxonomy only includes species associated with archived genetic data, to complement this, we also incorporate taxonomic information across the vertebrates from the Paleobiology Database (PaleoDB). The Teleost Taxonomy Ontology (TTO) and AmphibiaWeb (AWeb) are incorporated to provide a more authoritative hierarchy and a richer set of names for specific taxonomic groups.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy"],"domains":["Bone"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"901","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-19T08:36:46.418Z","metadata":{"doi":"10.25504/FAIRsharing.9sdcx8","name":"Multiple Alignment Format","status":"ready","homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format5","identifier":901,"description":"The Multiple Alignment Format stores DNA level multiple alignments in an easily readable format between entire genomes. Unlike previous formats this resource can cope with forward and reverse strand directions, multiple pieces to the alignment, and so forth.","abbreviation":"MFA","support_links":[{"url":"http://genome.ucsc.edu/blog/","type":"Blog/News"},{"url":"http://genome.ucsc.edu/contacts.html","type":"Contact form"}]},"legacy_ids":["bsg-000242","bsg-s000242"],"name":"FAIRsharing record for: Multiple Alignment Format","abbreviation":"MFA","url":"https://fairsharing.org/10.25504/FAIRsharing.9sdcx8","doi":"10.25504/FAIRsharing.9sdcx8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Multiple Alignment Format stores DNA level multiple alignments in an easily readable format between entire genomes. Unlike previous formats this resource can cope with forward and reverse strand directions, multiple pieces to the alignment, and so forth.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12438}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UCSC Genome Browser Code - License required for commercial use","licence_id":801,"licence_url":"http://genome.ucsc.edu/license/","link_id":130,"relation":"undefined"}],"grants":[{"id":6393,"fairsharing_record_id":901,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:59.105Z","updated_at":"2021-09-30T09:27:59.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6390,"fairsharing_record_id":901,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:27:59.010Z","updated_at":"2021-09-30T09:27:59.010Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6392,"fairsharing_record_id":901,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:59.076Z","updated_at":"2021-09-30T09:27:59.076Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10867,"fairsharing_record_id":901,"organisation_id":1118,"relation":"maintains","created_at":"2023-09-18T14:14:33.635Z","updated_at":"2023-09-18T14:14:33.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"875","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:24.627Z","metadata":{"doi":"10.25504/FAIRsharing.pmvppd","name":"Breast tissue cell lines","status":"ready","contacts":[{"contact_name":"Arathi Raghunath","contact_email":"arathi@molecularconnections.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1438","identifier":875,"description":"List of cell lines derived from breast tissue, both normal and pathological. The ontology in built in OWL with cross relation to classes- genetic variation, pathological condition, genes, chemicals and drugs.","abbreviation":"MCBCC","support_links":[{"url":"http://www.molecularconnections.com/?page_id=13442","type":"Contact form"}],"year_creation":2010},"legacy_ids":["bsg-002656","bsg-s002656"],"name":"FAIRsharing record for: Breast tissue cell lines","abbreviation":"MCBCC","url":"https://fairsharing.org/10.25504/FAIRsharing.pmvppd","doi":"10.25504/FAIRsharing.pmvppd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: List of cell lines derived from breast tissue, both normal and pathological. The ontology in built in OWL with cross relation to classes- genetic variation, pathological condition, genes, chemicals and drugs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Cell line","Cell","Genetic polymorphism","Drug interaction","Disease","Tissue","Mammary gland","Chemical-gene association"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":6351,"fairsharing_record_id":875,"organisation_id":1887,"relation":"maintains","created_at":"2021-09-30T09:27:57.512Z","updated_at":"2021-09-30T09:27:57.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":1887,"name":"Molecular Connections, Bangalore, India","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"876","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.578Z","metadata":{"doi":"10.25504/FAIRsharing.mxx5rp","name":"Amphibian gross Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"David Blackburn","contact_email":"david.c.blackburn@gmail.com","contact_orcid":"0000-0002-1810-9886"}],"homepage":"http://bioportal.bioontology.org/ontologies/AAO","identifier":876,"description":"A structured controlled vocabulary of the anatomy of Amphibians. Note that AAO has been integrated into Uberon.","abbreviation":"AAO","year_creation":2005,"deprecation_date":"2015-03-17","deprecation_reason":"Superceded by Uberon (https://fairsharing.org/FAIRsharing.4c0b6b)."},"legacy_ids":["bsg-000019","bsg-s000019"],"name":"FAIRsharing record for: Amphibian gross Anatomy Ontology","abbreviation":"AAO","url":"https://fairsharing.org/10.25504/FAIRsharing.mxx5rp","doi":"10.25504/FAIRsharing.mxx5rp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy of Amphibians. Note that AAO has been integrated into Uberon.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Amphibia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":1200,"pubmed_id":null,"title":"AN ANATOMICAL ONTOLOGY FOR AMPHIBIANS","year":2006,"url":"http://doi.org/10.1142/9789812772435_0035","authors":"ANNE M. MAGLIA, JENNIFER L. LEOPOLD, L. ANALÍA PUGENER, SUSAN GAUCH","journal":"Biocomputing","doi":"10.1142/9789812772435_0035","created_at":"2021-09-30T08:24:33.716Z","updated_at":"2021-09-30T08:24:33.716Z"}],"licence_links":[],"grants":[{"id":6352,"fairsharing_record_id":876,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:57.554Z","updated_at":"2021-09-30T09:32:29.462Z","grant_id":1643,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0445752","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"877","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.156Z","metadata":{"doi":"10.25504/FAIRsharing.nn7bf2","name":"Standard Flowgram Format","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"trace@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/Traces/trace.cgi?cmd=show\u0026f=formats\u0026m=doc\u0026s=format#sff","identifier":877,"description":"Standard flowgram format (SFF) is a binary file format used to encode results of pyrosequencing from the 454 Life Sciences platform for high-throughput sequencing. SFF files can be viewed, edited and converted with DNA Baser SFF Workbench (graphic tool), or converted to FASTQ format with sff2fastq or seq_crumbs.","abbreviation":null},"legacy_ids":["bsg-000263","bsg-s000263"],"name":"FAIRsharing record for: Standard Flowgram Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nn7bf2","doi":"10.25504/FAIRsharing.nn7bf2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard flowgram format (SFF) is a binary file format used to encode results of pyrosequencing from the 454 Life Sciences platform for high-throughput sequencing. SFF files can be viewed, edited and converted with DNA Baser SFF Workbench (graphic tool), or converted to FASTQ format with sff2fastq or seq_crumbs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"878","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.216Z","metadata":{"doi":"10.25504/FAIRsharing.2etax0","name":"INOH Molecule Role","status":"deprecated","contacts":[{"contact_name":"Ken Ichiro Fukuda","contact_email":"fukuda-cbrc@aist.go.jp"}],"homepage":"http://purl.bioontology.org/ontology/IMR","identifier":878,"description":"A structured controlled vocabulary of concrete protein names and generic (abstract) protein names. This ontology is a INOH pathway annotation ontology, one of a set of ontologies intended to be used in pathway data annotation to ease data integration. IMR is part of the BioPAX working group.","abbreviation":"IMR","year_creation":2004,"deprecation_date":"2016-03-09","deprecation_reason":"This resource is no longer maintained and has been listed as deprecated by the OBO Foundry (http://obofoundry.org/ontology/imr.html). Please search BioSharing (for example, https://biosharing.org/search/?q=molecule+role\u0026content=standard) for alternatives."},"legacy_ids":["bsg-000135","bsg-s000135"],"name":"FAIRsharing record for: INOH Molecule Role","abbreviation":"IMR","url":"https://fairsharing.org/10.25504/FAIRsharing.2etax0","doi":"10.25504/FAIRsharing.2etax0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of concrete protein names and generic (abstract) protein names. This ontology is a INOH pathway annotation ontology, one of a set of ontologies intended to be used in pathway data annotation to ease data integration. IMR is part of the BioPAX working group.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States"],"publications":[{"id":981,"pubmed_id":18629146,"title":"The molecule role ontology: an ontology for annotation of signal transduction pathway molecules in the scientific literature.","year":2008,"url":"http://doi.org/10.1002/cfg.432","authors":"Yamamoto S,Asanuma T,Takagi T,Fukuda KI","journal":"Comp Funct Genomics","doi":"10.1002/cfg.432","created_at":"2021-09-30T08:24:08.547Z","updated_at":"2021-09-30T08:24:08.547Z"}],"licence_links":[],"grants":[{"id":6353,"fairsharing_record_id":878,"organisation_id":259,"relation":"maintains","created_at":"2021-09-30T09:27:57.595Z","updated_at":"2021-09-30T09:27:57.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":259,"name":"Biological Pathway Exchange (BioPAX) community","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6354,"fairsharing_record_id":878,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:27:57.633Z","updated_at":"2021-09-30T09:27:57.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"879","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-14T09:58:45.223Z","metadata":{"doi":"10.25504/FAIRsharing.n2y9dd","name":"Nimblegen Design File Format","status":"deprecated","contacts":[],"homepage":"http://mtweb.cs.ucl.ac.uk/mus/mus/binnaz/CNV/NimbleGene/DATA/OID8421-2/Documentation/NimbleGen_data_formats.pdf","citations":[],"identifier":879,"description":"NimbleGen Design File Format is a standard data file format. NimbleGen is now a trademark of Roche.","abbreviation":null,"year_creation":2004,"deprecation_date":"2022-01-13","deprecation_reason":"Roche NimbleGen Design File Format seems to be deprecated on the Roche website. Please get in touch if you have further information."},"legacy_ids":["bsg-000248","bsg-s000248"],"name":"FAIRsharing record for: Nimblegen Design File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.n2y9dd","doi":"10.25504/FAIRsharing.n2y9dd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NimbleGen Design File Format is a standard data file format. NimbleGen is now a trademark of Roche.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12429}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Expression data","Array design"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8724,"fairsharing_record_id":879,"organisation_id":2455,"relation":"maintains","created_at":"2022-01-13T14:53:30.897Z","updated_at":"2022-01-13T14:53:30.897Z","grant_id":null,"is_lead":true,"saved_state":{"id":2455,"name":"Roche","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"888","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-10-10T20:05:27.046Z","metadata":{"doi":"10.25504/FAIRsharing.kkq6pw","name":"Sickle Cell Disease Ontology","status":"ready","contacts":[{"contact_name":"Jade Hotchkiss","contact_email":"giant.plankton@gmail.com"}],"homepage":"http://scdontology.h3abionet.org","citations":[],"identifier":888,"description":"The Sickle Cell Disease Ontology (SCDO) project is a collaboration between H3ABioNet (Pan African Bioinformatics Network) and SPAN (Sickle Cell Disease Pan African Network). The SCDO is currently under development and its purpose is to: 1) establish community standardized SCD terms and descriptions, 2) establish canonical and hierarchical representation of knowledge on SCD, 3) links to other ontologies and bodies of work such as DO, PhenX MeSH, ICD, NCI’s thesaurus, SNOMED and OMIM. ","abbreviation":"SCDO","support_links":[{"url":"https://scdontology.h3abionet.org/index.php/contact-us/","name":"Contact Form","type":"Contact form"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SCDO","name":"SCDO","portal":"BioPortal"}]},"legacy_ids":["bsg-000948","bsg-s000948"],"name":"FAIRsharing record for: Sickle Cell Disease Ontology","abbreviation":"SCDO","url":"https://fairsharing.org/10.25504/FAIRsharing.kkq6pw","doi":"10.25504/FAIRsharing.kkq6pw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sickle Cell Disease Ontology (SCDO) project is a collaboration between H3ABioNet (Pan African Bioinformatics Network) and SPAN (Sickle Cell Disease Pan African Network). The SCDO is currently under development and its purpose is to: 1) establish community standardized SCD terms and descriptions, 2) establish canonical and hierarchical representation of knowledge on SCD, 3) links to other ontologies and bodies of work such as DO, PhenX MeSH, ICD, NCI’s thesaurus, SNOMED and OMIM. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":["sickle cell disease"],"countries":["Worldwide"],"publications":[{"id":3498,"pubmed_id":35363306,"title":"The Sickle Cell Disease Ontology: recent development and expansion of the universal sickle cell knowledge representation.","year":2022,"url":"https://doi.org/10.1093/database/baac014","authors":"Mazandu GK, Hotchkiss J, Nembaware V, Wonkam A, Mulder N","journal":"Database : the journal of biological databases and curation","doi":"10.1093/database/baac014","created_at":"2022-07-29T14:45:00.913Z","updated_at":"2022-07-29T14:45:00.913Z"},{"id":3499,"pubmed_id":33021900,"title":"The Sickle Cell Disease Ontology: Enabling Collaborative Research and Co-Designing of New Planetary Health Applications.","year":2020,"url":"https://doi.org/10.1089/omi.2020.0153","authors":"Nembaware V, Mazandu GK, Hotchkiss J, Safari Serufuri JM, Kent J, Kengne AP, Anie K, Munung NS, Bukini D, Bitoungui VJN, Munube D, Chirwa U, Chunda-Liyoka C, Jonathan A, Flor-Park MV, Esoh KK, Jonas M, Mnika K, Oosterwyk C, Masamu U, Morrice J, Uwineza A, Nguweneza A, Banda K, Nyanor I, Adjei DN, Siebu NE, Nkanyemka M, Kuona P, Tayo BO, Campbell A, Oron AP, Nnodu OE, Painstil V, Makani J, Mulder N, Wonkam A","journal":"Omics : a journal of integrative biology","doi":"10.1089/omi.2020.0153","created_at":"2022-07-29T14:45:12.772Z","updated_at":"2022-07-29T14:45:12.772Z"},{"id":3500,"pubmed_id":31769834,"title":"The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation.","year":2019,"url":"https://doi.org/10.1093/database/baz118","authors":"Sickle Cell Disease Ontology Working Group.","journal":"Database : the journal of biological databases and curation","doi":"10.1093/database/baz118","created_at":"2022-07-29T14:45:29.146Z","updated_at":"2022-07-29T14:45:29.146Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2768,"relation":"applies_to_content"}],"grants":[{"id":9813,"fairsharing_record_id":888,"organisation_id":1207,"relation":"maintains","created_at":"2022-08-17T07:46:50.728Z","updated_at":"2022-08-17T07:46:50.728Z","grant_id":null,"is_lead":false,"saved_state":{"id":1207,"name":"H3ABioNet","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbWtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--69320a8be8ca6a407eaf142714307b4c7e6b5f45/cropped-Screenshot-from-2020-05-23-20-20-32-2.png?disposition=inline","exhaustive_licences":false}},{"id":"890","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:29:34.558Z","metadata":{"doi":"10.25504/FAIRsharing.y3vp4j","name":"Ontology of Language Disorder in Autism","status":"deprecated","contacts":[{"contact_name":"Hari Cohly","contact_email":"hari.cohly@jsums.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1398","citations":[],"identifier":890,"description":"Language terms used in the domain of autism. The language terms were obtained via text mining and automatic retrieval of terms from the corpus of PubMed abstracts.","abbreviation":"LDA","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LDA","name":"LDA","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology has been inactive since 2009, and a suitable alternative homepage cannot be found, therefore we have deprecated this record. Please get in touch with us if you have any information."},"legacy_ids":["bsg-002637","bsg-s002637"],"name":"FAIRsharing record for: Ontology of Language Disorder in Autism","abbreviation":"LDA","url":"https://fairsharing.org/10.25504/FAIRsharing.y3vp4j","doi":"10.25504/FAIRsharing.y3vp4j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Language terms used in the domain of autism. The language terms were obtained via text mining and automatic retrieval of terms from the corpus of PubMed abstracts.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Text mining","Autistic disorder","Language disorder","Natural language processing","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"891","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.300Z","metadata":{"doi":"10.25504/FAIRsharing.mm72as","name":"Interaction Network Ontology","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://sourceforge.net/projects/ino/","identifier":891,"description":"The Interaction Network Ontology (INO) aims to standardize interaction network annotation, integrate various interaction network data, and support computer-assisted reasoning. It models general interactions (e.g., molecular interactions) and interaction networks (e.g., Bayesian network). INO is aligned with the Basic Formal Ontology (BFO) and imports terms from 10 other existing ontologies, and includes over 500 terms. In terms of interaction-related terms, INO imports and aligns PSI-MI and GO interaction terms and includes over 100 newly generated ontology terms.","abbreviation":"INO","support_links":[{"url":"https://sourceforge.net/p/ino/mailman/","name":"Mailing list","type":"Mailing list"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/INO","name":"INO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ino.html","name":"ino","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002674","bsg-s002674"],"name":"FAIRsharing record for: Interaction Network Ontology","abbreviation":"INO","url":"https://fairsharing.org/10.25504/FAIRsharing.mm72as","doi":"10.25504/FAIRsharing.mm72as","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Interaction Network Ontology (INO) aims to standardize interaction network annotation, integrate various interaction network data, and support computer-assisted reasoning. It models general interactions (e.g., molecular interactions) and interaction networks (e.g., Bayesian network). INO is aligned with the Basic Formal Ontology (BFO) and imports terms from 10 other existing ontologies, and includes over 500 terms. In terms of interaction-related terms, INO imports and aligns PSI-MI and GO interaction terms and includes over 100 newly generated ontology terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Network model","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Turkey","United States"],"publications":[{"id":1271,"pubmed_id":28031747,"title":"The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature.","year":2016,"url":"http://doi.org/10.1186/s13040-016-0118-0","authors":"Ozgur A,Hur J,He Y","journal":"BioData Min","doi":"10.1186/s13040-016-0118-0","created_at":"2021-09-30T08:24:41.909Z","updated_at":"2021-09-30T08:24:41.909Z"},{"id":1281,"pubmed_id":25785184,"title":"Development and application of an interaction network ontology for literature mining of vaccine-associated gene-gene interactions.","year":2015,"url":"http://doi.org/10.1186/2041-1480-6-2","authors":"Hur J,Ozgur A,Xiang Z,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-6-2","created_at":"2021-09-30T08:24:42.984Z","updated_at":"2021-09-30T08:24:42.984Z"},{"id":1770,"pubmed_id":21624163,"title":"Mining of vaccine-associated IFN-gamma gene interaction networks using the Vaccine Ontology.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-S2-S8","authors":"Ozgur A,Xiang Z,Radev DR,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-S2-S8","created_at":"2021-09-30T08:25:38.594Z","updated_at":"2021-09-30T08:25:38.594Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1617,"relation":"undefined"}],"grants":[{"id":6365,"fairsharing_record_id":891,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:58.055Z","updated_at":"2021-09-30T09:27:58.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6369,"fairsharing_record_id":891,"organisation_id":3095,"relation":"maintains","created_at":"2021-09-30T09:27:58.190Z","updated_at":"2021-09-30T09:27:58.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6366,"fairsharing_record_id":891,"organisation_id":683,"relation":"maintains","created_at":"2021-09-30T09:27:58.096Z","updated_at":"2021-09-30T09:27:58.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":683,"name":"Department of Biomedical Sciences, University of North Dakota School of Medicine and Health Sciences, Grand Forks, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6367,"fairsharing_record_id":891,"organisation_id":292,"relation":"maintains","created_at":"2021-09-30T09:27:58.134Z","updated_at":"2021-09-30T09:27:58.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":292,"name":"Bogazici University, Istanbul, Turkey","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6368,"fairsharing_record_id":891,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:58.166Z","updated_at":"2021-09-30T09:29:28.618Z","grant_id":262,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"880","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.503Z","metadata":{"doi":"10.25504/FAIRsharing.7xdxc2","name":"Portable Network Graphics","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"newt@pobox.com"}],"homepage":"http://www.libpng.org/pub/png/","identifier":880,"description":"Portable Network Graphics (PNG) is a raster graphics file format that supports lossless data compression. PNG was created as an improved, non-patented replacement for Graphics Interchange Format (GIF), and is the most used lossless image compression format on the Internet.","abbreviation":null,"support_links":[{"url":"http://www.libpng.org/pub/png/png-sitemap.html#info","type":"Help documentation"}],"year_creation":1995},"legacy_ids":["bsg-000206","bsg-s000206"],"name":"FAIRsharing record for: Portable Network Graphics","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7xdxc2","doi":"10.25504/FAIRsharing.7xdxc2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Portable Network Graphics (PNG) is a raster graphics file format that supports lossless data compression. PNG was created as an improved, non-patented replacement for Graphics Interchange Format (GIF), and is the most used lossless image compression format on the Internet.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"881","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:36.871Z","metadata":{"doi":"10.25504/FAIRsharing.ckg5a2","name":"Minimal Metagenome Sequence Analysis Standard","status":"uncertain","contacts":[{"contact_name":"Jeroen Raes","contact_email":"raes@embl.de"}],"homepage":"http://mibbi.sf.net/projects/MINIMESS.shtml","identifier":881,"description":"A proposed set of minimal standard analyses necessary for proper interpretation of meta-omic data and to allow comparative metagenomics and metatranscriptomics. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"MINIMESS","support_links":[{"url":"https://sourceforge.net/p/mibbi/discussion/661432/","type":"Forum"},{"url":"http://mibbi.sourceforge.net/foundry.shtml","type":"Training documentation"}],"year_creation":2007},"legacy_ids":["bsg-000176","bsg-s000176"],"name":"FAIRsharing record for: Minimal Metagenome Sequence Analysis Standard","abbreviation":"MINIMESS","url":"https://fairsharing.org/10.25504/FAIRsharing.ckg5a2","doi":"10.25504/FAIRsharing.ckg5a2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A proposed set of minimal standard analyses necessary for proper interpretation of meta-omic data and to allow comparative metagenomics and metatranscriptomics. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11573}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Phylogenetics","Biodiversity","Computational Biology","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Data transformation","Metagenome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":855,"pubmed_id":17936679,"title":"Get the most out of your metagenome: computational analysis of environmental sequence data.","year":2007,"url":"http://doi.org/10.1016/j.mib.2007.09.001","authors":"Raes J,Foerstner KU,Bork P","journal":"Curr Opin Microbiol","doi":"10.1016/j.mib.2007.09.001","created_at":"2021-09-30T08:23:54.362Z","updated_at":"2021-09-30T08:23:54.362Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"882","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:29:37.455Z","metadata":{"doi":"10.25504/FAIRsharing.3ftws4","name":"Ontology of Geographical Region","status":"deprecated","contacts":[{"contact_name":"Yu Lin","contact_email":"linyu@cdb.riken.jp"}],"homepage":"http://bioportal.bioontology.org/ontologies/1087","citations":[],"identifier":882,"description":"This OWL ontology classified the geograhical regions related vocabularies extracted from UMLS. It must be used with other two ontologies, in the case of diabetes: the Ontology of Glucose Metabolism Disorder (OGMD) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","abbreviation":"OGR","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGR","name":"OGR","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology's partner ontologies are considered deprecated or inactive by the OBO Foundry, and this ontology has not been updated since 2009. As such we have deprecated this record (https://obofoundry.org/ontology/ogi.html, https://obofoundry.org/ontology/ogsf.html). Please get in touch with us if you have additional information."},"legacy_ids":["bsg-002624","bsg-s002624"],"name":"FAIRsharing record for: Ontology of Geographical Region","abbreviation":"OGR","url":"https://fairsharing.org/10.25504/FAIRsharing.3ftws4","doi":"10.25504/FAIRsharing.3ftws4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This OWL ontology classified the geograhical regions related vocabularies extracted from UMLS. It must be used with other two ontologies, in the case of diabetes: the Ontology of Glucose Metabolism Disorder (OGMD) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science","Biomedical Science"],"domains":["Geographical location","Diabetes mellitus"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"883","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T10:57:37.000Z","updated_at":"2022-02-08T10:53:30.442Z","metadata":{"doi":"10.25504/FAIRsharing.1ece03","name":"COVID-19 Case Record Form","status":"ready","homepage":"https://media.tghn.org/medialibrary/2020/03/ISARIC_COVID-19_CRF_V1.3_24Feb2020.pdf","identifier":883,"description":"The ISARIC-WHO Case Record Form (CRF) should be used to collect data on suspected or confirmed cases of COVID-19. This form is in use across dozens of countries and research consortia including SPRINT SARI, ALERRT and Global CCP, aligning the collection of health data to better characterise the spectrum of disease and optimise patient management. The form is available in multiple languages. Data can be entered electronically to the data platform as below.","abbreviation":"CRF","support_links":[{"url":"https://isaric.tghn.org/contact/","name":"Contact Us","type":"Contact form"}],"year_creation":2020},"legacy_ids":["bsg-001458","bsg-s001458"],"name":"FAIRsharing record for: COVID-19 Case Record Form","abbreviation":"CRF","url":"https://fairsharing.org/10.25504/FAIRsharing.1ece03","doi":"10.25504/FAIRsharing.1ece03","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ISARIC-WHO Case Record Form (CRF) should be used to collect data on suspected or confirmed cases of COVID-19. This form is in use across dozens of countries and research consortia including SPRINT SARI, ALERRT and Global CCP, aligning the collection of health data to better characterise the spectrum of disease and optimise patient management. The form is available in multiple languages. Data can be entered electronically to the data platform as below.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18280},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12286},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12556}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Public Health","Health Science","Global Health","Primary Health Care","Virology","Epidemiology","Medical Informatics"],"domains":["Electronic health record","Patient care"],"taxonomies":["Coronaviridae","Homo sapiens","Viruses"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":112,"relation":"undefined"}],"grants":[{"id":6356,"fairsharing_record_id":883,"organisation_id":1554,"relation":"maintains","created_at":"2021-09-30T09:27:57.741Z","updated_at":"2021-09-30T09:27:57.741Z","grant_id":null,"is_lead":false,"saved_state":{"id":1554,"name":"ISARIC","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"902","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T12:04:33.000Z","updated_at":"2022-02-08T10:53:38.516Z","metadata":{"doi":"10.25504/FAIRsharing.9a51cf","name":"CAPACITY CRF","status":"ready","homepage":"https://capacity-covid.eu/","identifier":902,"description":"An extension of the ISARIC-WHO Case Record Form (CRF) for COVID-19 patient data. This extension collects data regarding the cardiovascular history, diagnostic information and occurrence of cardiovascular complications in COVID-19 patients. By collecting this information in a standardized manner, CAPACITY can aid in providing more insight in (1) the incidence of cardiovascular complications in patients with COVID-19, and (2) the vulnerability and clinical course of COVID-19 in patients with an underlying cardiovascular disease.","abbreviation":"CAPACITY CRF","support_links":[{"url":"https://capacity-covid.eu/contact/","name":"Contact us","type":"Contact form"}],"year_creation":2020},"legacy_ids":["bsg-001459","bsg-s001459"],"name":"FAIRsharing record for: CAPACITY CRF","abbreviation":"CAPACITY CRF","url":"https://fairsharing.org/10.25504/FAIRsharing.9a51cf","doi":"10.25504/FAIRsharing.9a51cf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An extension of the ISARIC-WHO Case Record Form (CRF) for COVID-19 patient data. This extension collects data regarding the cardiovascular history, diagnostic information and occurrence of cardiovascular complications in COVID-19 patients. By collecting this information in a standardized manner, CAPACITY can aid in providing more insight in (1) the incidence of cardiovascular complications in patients with COVID-19, and (2) the vulnerability and clinical course of COVID-19 in patients with an underlying cardiovascular disease.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12287},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12557}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Cardiology","Health Science","Global Health","Virology","Epidemiology","Medical Informatics"],"domains":["Patient care"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":6395,"fairsharing_record_id":902,"organisation_id":791,"relation":"maintains","created_at":"2021-09-30T09:27:59.158Z","updated_at":"2021-09-30T09:27:59.158Z","grant_id":null,"is_lead":false,"saved_state":{"id":791,"name":"Dutch Association for Cardiology (NVVC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6398,"fairsharing_record_id":902,"organisation_id":2128,"relation":"maintains","created_at":"2021-09-30T09:27:59.272Z","updated_at":"2021-09-30T09:27:59.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":2128,"name":"Netherlands Heart Institute - Durrer Center","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":6394,"fairsharing_record_id":902,"organisation_id":792,"relation":"maintains","created_at":"2021-09-30T09:27:59.134Z","updated_at":"2021-09-30T09:27:59.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":792,"name":"Dutch CardioVascular Alliance (DCVA)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6396,"fairsharing_record_id":902,"organisation_id":798,"relation":"maintains","created_at":"2021-09-30T09:27:59.189Z","updated_at":"2021-09-30T09:27:59.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":798,"name":"Dutch Network for Cardiovascular Research (WCN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6397,"fairsharing_record_id":902,"organisation_id":2129,"relation":"maintains","created_at":"2021-09-30T09:27:59.231Z","updated_at":"2021-09-30T09:27:59.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":2129,"name":"Netherlands Heart Registration (NHR)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6399,"fairsharing_record_id":902,"organisation_id":1211,"relation":"maintains","created_at":"2021-09-30T09:27:59.311Z","updated_at":"2021-09-30T09:27:59.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":1211,"name":"Harteraad","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"903","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:02.241Z","metadata":{"doi":"10.25504/FAIRsharing.vh9jbb","name":"Ontology for Genetic Interval","status":"deprecated","contacts":[{"contact_name":"Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"http://purl.bioontology.org/ontology/OGI","citations":[],"identifier":903,"description":"Using BFO (Basic Formal Ontology) as its upper-level ontology, the Ontology for Genetic Interval (OGI) represents gene as an entity with its 3D shape, topography, and primary DNA sequence as the foundation for its 3D structure. There is no official homepage for this resource, and it is not currently in active development. However, the maintainer has described it as available for use via BioPortal and OBO Foundry.","abbreviation":"OGI","support_links":[{"url":"https://code.google.com/archive/p/ontology-for-genetic-interval/","name":"Google Code Archive","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGI","name":"OGI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ogi.html","name":"ogi","portal":"OBO Foundry"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology is considered deprecated by the OBO Foundry and as such we have deprecated this record (https://obofoundry.org/ontology/ogi.html). Please get in touch with us if you have additional information."},"legacy_ids":["bsg-000091","bsg-s000091"],"name":"FAIRsharing record for: Ontology for Genetic Interval","abbreviation":"OGI","url":"https://fairsharing.org/10.25504/FAIRsharing.vh9jbb","doi":"10.25504/FAIRsharing.vh9jbb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Using BFO (Basic Formal Ontology) as its upper-level ontology, the Ontology for Genetic Interval (OGI) represents gene as an entity with its 3D shape, topography, and primary DNA sequence as the foundation for its 3D structure. There is no official homepage for this resource, and it is not currently in active development. However, the maintainer has described it as available for use via BioPortal and OBO Foundry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Life Science"],"domains":["Molecular structure","Nucleic acid sequence","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":131,"relation":"undefined"}],"grants":[{"id":6402,"fairsharing_record_id":903,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:59.432Z","updated_at":"2021-09-30T09:27:59.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6400,"fairsharing_record_id":903,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:27:59.348Z","updated_at":"2021-09-30T09:27:59.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11571,"fairsharing_record_id":903,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:01.680Z","updated_at":"2024-03-21T13:59:02.182Z","grant_id":1272,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"http://www.bioontology.org","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"904","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T18:36:14.000Z","updated_at":"2023-09-29T11:55:01.569Z","metadata":{"doi":"10.25504/FAIRsharing.3c6e67","name":"Language resource management -- Syntactic annotation framework (SynAF) -- Part 1: Syntactic model","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/62508.html","citations":[],"identifier":904,"description":"ISO 24615-1:2014 describes the syntactic annotation framework (SynAF), a high level model for representing the syntactic annotation of linguistic data, with the objective of supporting interoperability across language resources or language processing components. ISO 24615-1:2014 is complementary and closely related to ISO 24611 (MAF, morpho-syntactic annotation framework) and provides a metamodel for syntactic representations as well as reference data categories for representing both constituency and dependency information in sentences or other comparable utterances and segments.","abbreviation":"ISO 24615-1:2014","support_links":[{"url":"https://www.iso.org/contents/data/standard/06/25/62508.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001273","bsg-s001273"],"name":"FAIRsharing record for: Language resource management -- Syntactic annotation framework (SynAF) -- Part 1: Syntactic model","abbreviation":"ISO 24615-1:2014","url":"https://fairsharing.org/10.25504/FAIRsharing.3c6e67","doi":"10.25504/FAIRsharing.3c6e67","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24615-1:2014 describes the syntactic annotation framework (SynAF), a high level model for representing the syntactic annotation of linguistic data, with the objective of supporting interoperability across language resources or language processing components. ISO 24615-1:2014 is complementary and closely related to ISO 24611 (MAF, morpho-syntactic annotation framework) and provides a metamodel for syntactic representations as well as reference data categories for representing both constituency and dependency information in sentences or other comparable utterances and segments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1219,"relation":"undefined"}],"grants":[{"id":6403,"fairsharing_record_id":904,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:27:59.472Z","updated_at":"2021-09-30T09:27:59.472Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10939,"fairsharing_record_id":904,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:48:30.579Z","updated_at":"2023-09-27T14:48:30.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"871","type":"fairsharing_records","attributes":{"created_at":"2018-10-11T20:56:41.000Z","updated_at":"2022-07-20T11:37:22.363Z","metadata":{"doi":"10.25504/FAIRsharing.5e7bdc","name":"World Meteorological Organization Core Metadata Profile","status":"ready","contacts":[{"contact_name":"Peiliang Shi","contact_email":"pshi@wmo.int"}],"homepage":"https://wis.wmo.int/2012/metadata/","citations":[],"identifier":871,"description":"The WMO Core Profile of the 19115:2003 Geographic information – Metadata standard is used by the WMO Information System (WIS) to create a catalogue of all information that is made available through the WIS. Version 1.3 was approved by Executive Council in May 2013. This profile provides a general definition for directory searches and exchange that should be applicable to a wide variety of WMO data sets.","abbreviation":"WMO Core Profile","support_links":[{"url":"https://old.wmo.int/wiswiki/tiki-index.php%3Fpage=WmoCoreMetadata.html","name":"WIS Wiki (Archive)","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-001321","bsg-s001321"],"name":"FAIRsharing record for: World Meteorological Organization Core Metadata Profile","abbreviation":"WMO Core Profile","url":"https://fairsharing.org/10.25504/FAIRsharing.5e7bdc","doi":"10.25504/FAIRsharing.5e7bdc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WMO Core Profile of the 19115:2003 Geographic information – Metadata standard is used by the WMO Information System (WIS) to create a catalogue of all information that is made available through the WIS. Version 1.3 was approved by Executive Council in May 2013. This profile provides a general definition for directory searches and exchange that should be applicable to a wide variety of WMO data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Meteorology","Earth Science","Atmospheric Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"WMO Copyright Notice","licence_id":866,"licence_url":"https://public.wmo.int/en/copyright","link_id":977,"relation":"applies_to_content"}],"grants":[{"id":6331,"fairsharing_record_id":871,"organisation_id":3254,"relation":"maintains","created_at":"2021-09-30T09:27:56.805Z","updated_at":"2021-09-30T09:27:56.805Z","grant_id":null,"is_lead":true,"saved_state":{"id":3254,"name":"World Meteorological Organization (WMO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"872","type":"fairsharing_records","attributes":{"created_at":"2018-03-11T20:24:49.000Z","updated_at":"2022-07-20T11:35:26.671Z","metadata":{"doi":"10.25504/FAIRsharing.f69084","name":"Barley Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_323:ROOT","citations":[],"identifier":872,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Barley Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Its focus is on traits and variable used in field trials for breeding.","abbreviation":"CO_323","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}]},"legacy_ids":["bsg-001138","bsg-s001138"],"name":"FAIRsharing record for: Barley Ontology","abbreviation":"CO_323","url":"https://fairsharing.org/10.25504/FAIRsharing.f69084","doi":"10.25504/FAIRsharing.f69084","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Barley Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Its focus is on traits and variable used in field trials for breeding.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Phenotype"],"taxonomies":["Hordeum vulgare"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":456,"relation":"undefined"}],"grants":[{"id":6333,"fairsharing_record_id":872,"organisation_id":1475,"relation":"maintains","created_at":"2021-09-30T09:27:56.867Z","updated_at":"2021-09-30T09:27:56.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1475,"name":"International Center for Agricultural Research in the Dry Areas (ICARDA), Lebanon","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9302,"fairsharing_record_id":872,"organisation_id":485,"relation":"maintains","created_at":"2022-04-11T12:07:28.960Z","updated_at":"2022-04-11T12:07:28.960Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"873","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-13T08:48:46.009Z","metadata":{"doi":"10.25504/FAIRsharing.nd9ce9","name":"Minimum Information about Plant Phenotyping Experiment","status":"ready","contacts":[{"contact_name":"Paweł Krajewski","contact_email":"miappe-steering@ebi.ac.uk","contact_orcid":"0000-0001-5318-9896"}],"homepage":"http://miappe.org","identifier":873,"description":"MIAPPE is a reporting guideline for plant phenotyping experiments. It comprises a checklist, i.e., a list of attributes to describe an experiment so that it is understandable and replicable. It should be consulted by people recording and depositing plan phenotyping data. MIAPPE covers the description of the following aspects of plant phenotyping experiment: study, environment, experimental design, sample management, biosource, treatment and phenotype. A basic reference implementation of MIAPPE has been proposed for the ISA-Tab format. Other current developments include a Breeding API (BrAPI) implementation.","abbreviation":"MIAPPE","support_links":[{"url":"miappe@ebi.ac.uk","type":"Support email"},{"url":"https://miappe.org","type":"Help documentation"},{"url":"https://www.miappe.org/support/","name":"Latest specifications and support resources","type":"Help documentation"},{"url":"http://cropnet.pl/phenotypes","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/plant-phenotyping-data-managment-miappe","name":"Plant Phenotyping Data managment (MIAPPE)","type":"TeSS links to training materials"}],"associated_tools":[{"url":"http://www.isa-tools.org/","name":"ISA-Tools"}]},"legacy_ids":["bsg-000543","bsg-s000543"],"name":"FAIRsharing record for: Minimum Information about Plant Phenotyping Experiment","abbreviation":"MIAPPE","url":"https://fairsharing.org/10.25504/FAIRsharing.nd9ce9","doi":"10.25504/FAIRsharing.nd9ce9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAPPE is a reporting guideline for plant phenotyping experiments. It comprises a checklist, i.e., a list of attributes to describe an experiment so that it is understandable and replicable. It should be consulted by people recording and depositing plan phenotyping data. MIAPPE covers the description of the following aspects of plant phenotyping experiment: study, environment, experimental design, sample management, biosource, treatment and phenotype. A basic reference implementation of MIAPPE has been proposed for the ISA-Tab format. Other current developments include a Breeding API (BrAPI) implementation.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11866},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12091},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16742}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany"],"domains":["Report","Biological sample","Protocol","Study design","Phenotype","Treatment"],"taxonomies":["Arabidopsis thaliana","Hordeum vulgare","Oryza sativa","Plantae","Populus","Triticum","Viridiplantae","Zea mays"],"user_defined_tags":["Metadata standardization","Plant Phenotypes and Traits"],"countries":["European Union"],"publications":[{"id":1835,"pubmed_id":26044092,"title":"Towards recommendations for metadata and data handling in plant phenotyping.","year":2015,"url":"http://doi.org/10.1093/jxb/erv271","authors":"Krajewski P, Chen D, Cwiek H, van Dijk AD, Fiorani F, Kersey P, Klukas C, Lange M, Markiewicz A, Nap JP, van Oeveren J, Pommier C, Scholz U, van Schriek M, Usadel B, Weise S","journal":"J Exp Bot","doi":"10.1093/jxb/erv271","created_at":"2021-09-30T08:25:46.064Z","updated_at":"2021-09-30T08:25:46.064Z"},{"id":2927,"pubmed_id":null,"title":"Enabling reusability of plant phenomic datasets with MIAPPE 1.1","year":2020,"url":"http://doi.org/https://doi.org/10.1111/nph.16544","authors":"Evangelia A. Papoutsoglou, Daniel Faria, Daniel Arend, [...], Paul J. Kersey, Célia M. Miguel, Anne‐Françoise Adam‐Blondon and Cyril Pommier","journal":"New Phytologist","doi":"https://doi.org/10.1111/nph.16544","created_at":"2021-09-30T08:28:00.476Z","updated_at":"2021-09-30T08:28:00.476Z"},{"id":3092,"pubmed_id":27843484,"title":"Measures for interoperability of phenotypic data: minimum information requirements and formatting","year":2016,"url":"http://doi.org/10.1186/s13007-016-0144-4","authors":"Cwiek-Kupczynska, H.; Altmann, T.; Arend, D.; Arnaud, E.; Chen, D.; Cornut, G.; Fiorani, F.; Frohmberg, W.; Junker, A.; Klukas, C.; Lange, M.; Mazurek, C.; Nafissi, A.; Neveu, P.; van Oeveren, J.; Pommier, C.; [...] ; Kersey, P. Krajewski, P.","journal":"Plant Methods","doi":"10.1186/s13007-016-0144-4","created_at":"2021-09-30T08:28:20.942Z","updated_at":"2021-09-30T08:28:20.942Z"}],"licence_links":[],"grants":[{"id":6338,"fairsharing_record_id":873,"organisation_id":2477,"relation":"maintains","created_at":"2021-09-30T09:27:57.028Z","updated_at":"2021-09-30T09:27:57.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":2477,"name":"RWTH Aachen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6341,"fairsharing_record_id":873,"organisation_id":1436,"relation":"maintains","created_at":"2021-09-30T09:27:57.142Z","updated_at":"2021-09-30T09:27:57.142Z","grant_id":null,"is_lead":false,"saved_state":{"id":1436,"name":"Institute of Plant Genetics, Polish Academy of Sciences (IPG PAS), Pozna_, Poland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6337,"fairsharing_record_id":873,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:27:56.998Z","updated_at":"2021-09-30T09:27:56.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6339,"fairsharing_record_id":873,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:27:57.067Z","updated_at":"2021-09-30T09:27:57.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6340,"fairsharing_record_id":873,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:57.099Z","updated_at":"2021-09-30T09:27:57.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6342,"fairsharing_record_id":873,"organisation_id":1702,"relation":"maintains","created_at":"2021-09-30T09:27:57.178Z","updated_at":"2021-09-30T09:27:57.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1702,"name":"Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6343,"fairsharing_record_id":873,"organisation_id":1036,"relation":"maintains","created_at":"2021-09-30T09:27:57.220Z","updated_at":"2021-09-30T09:27:57.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":1036,"name":"Forschungszentrum Juelich, Juelich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6334,"fairsharing_record_id":873,"organisation_id":2367,"relation":"funds","created_at":"2021-09-30T09:27:56.898Z","updated_at":"2021-09-30T09:29:11.295Z","grant_id":131,"is_lead":false,"saved_state":{"id":2367,"name":"Programme d'Investissements d'Avenir, National Research Agency (ANR), Paris, France","grant":"ANR-11-INBS-0012","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6344,"fairsharing_record_id":873,"organisation_id":934,"relation":"funds","created_at":"2021-09-30T09:27:57.273Z","updated_at":"2021-09-30T09:31:00.026Z","grant_id":972,"is_lead":false,"saved_state":{"id":934,"name":"European FP7 Research infrastructures","grant":"28443","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8164,"fairsharing_record_id":873,"organisation_id":934,"relation":"funds","created_at":"2021-09-30T09:31:17.059Z","updated_at":"2021-09-30T09:31:17.146Z","grant_id":1101,"is_lead":false,"saved_state":{"id":934,"name":"European FP7 Research infrastructures","grant":"283496","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9256,"fairsharing_record_id":873,"organisation_id":920,"relation":"maintains","created_at":"2022-04-11T12:07:25.751Z","updated_at":"2022-04-11T12:07:25.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9363,"fairsharing_record_id":873,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.217Z","updated_at":"2022-04-11T12:07:33.236Z","grant_id":793,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031A053A/B/C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"874","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:24.548Z","metadata":{"doi":"10.25504/FAIRsharing.mye76w","name":"BioAssay Ontology","status":"ready","contacts":[{"contact_name":"Stephan Schurer","contact_email":"sschurer@med.miami.edu"}],"homepage":"http://bioassayontology.org","identifier":874,"description":"The BioAssay Ontology (BAO) describes chemical biology screening assays and their results including high-throughput screening (HTS) data for the purpose of categorizing assays and data analysis.","abbreviation":"BAO","support_links":[{"url":"https://github.com/BioAssayOntology/BAO/wiki","name":"BAO Life wiki","type":"Github"}],"year_creation":2009,"associated_tools":[{"url":"http://lincsportal.ccs.miami.edu/dcic-portal/","name":"LINCS Data Portal"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BAO","name":"BAO","portal":"BioPortal"}]},"legacy_ids":["bsg-002687","bsg-s002687"],"name":"FAIRsharing record for: BioAssay Ontology","abbreviation":"BAO","url":"https://fairsharing.org/10.25504/FAIRsharing.mye76w","doi":"10.25504/FAIRsharing.mye76w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioAssay Ontology (BAO) describes chemical biology screening assays and their results including high-throughput screening (HTS) data for the purpose of categorizing assays and data analysis.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18256},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10879},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11281},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12025}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Life Science","Biomedical Science"],"domains":["Molecular entity","Chemical entity","Reagent","Cell","Biological process","Assay","Protein","Target"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":978,"pubmed_id":25093074,"title":"Evolving BioAssay Ontology (BAO): modularization, integration and applications.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-S1-S5","authors":"Abeyruwan S,Vempati UD,Kucuk-McGinty H,Visser U,Koleti A,Mir A,Sakurai K,Chung C,Bittker JA,Clemons PA,Brudz S,Siripala A,Morales AJ,Romacker M,Twomey D,Bureeva S,Lemmon V,Schurer SC","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-S1-S5","created_at":"2021-09-30T08:24:08.230Z","updated_at":"2021-09-30T08:24:08.230Z"},{"id":2217,"pubmed_id":10,"title":"Digitoxin metabolism by rat liver microsomes.","year":1975,"url":"https://www.ncbi.nlm.nih.gov/pubmed/10","authors":"Schmoldt A,Benthe HF,Haberland G","journal":"Biochem Pharmacol","doi":"10:1371/journal.pone.0049198","created_at":"2021-09-30T08:26:29.848Z","updated_at":"2021-09-30T08:26:29.848Z"},{"id":2789,"pubmed_id":23155465,"title":"Formalization, annotation and analysis of diverse drug and probe screening assay datasets using the BioAssay Ontology (BAO).","year":2012,"url":"http://doi.org/10.1371/journal.pone.0049198","authors":"Vempati UD,Przydzial MJ,Chung C,Abeyruwan S,Mir A,Sakurai K,Visser U,Lemmon VP,Schurer SC","journal":"PLoS One","doi":"10.1371/journal.pone.0049198","created_at":"2021-09-30T08:27:42.915Z","updated_at":"2021-09-30T08:27:42.915Z"},{"id":2791,"pubmed_id":21702939,"title":"BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-257","authors":"Visser U,Abeyruwan S,Vempati U,Smith RP,Lemmon V,Schurer SC","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-257","created_at":"2021-09-30T08:27:43.197Z","updated_at":"2021-09-30T08:27:43.197Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1247,"relation":"undefined"}],"grants":[{"id":6346,"fairsharing_record_id":874,"organisation_id":165,"relation":"maintains","created_at":"2021-09-30T09:27:57.323Z","updated_at":"2021-09-30T09:27:57.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":165,"name":"BAO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6350,"fairsharing_record_id":874,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:57.475Z","updated_at":"2021-09-30T09:29:20.423Z","grant_id":202,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 HL111561","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8012,"fairsharing_record_id":874,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:22.877Z","updated_at":"2021-09-30T09:30:22.928Z","grant_id":685,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"RC2 HG005668","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6347,"fairsharing_record_id":874,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:57.352Z","updated_at":"2021-09-30T09:27:57.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6348,"fairsharing_record_id":874,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:57.395Z","updated_at":"2021-09-30T09:27:57.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6345,"fairsharing_record_id":874,"organisation_id":2023,"relation":"funds","created_at":"2021-09-30T09:27:57.297Z","updated_at":"2021-09-30T09:29:01.902Z","grant_id":63,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, MD, USA","grant":"R01-NS080145","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6349,"fairsharing_record_id":874,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:57.436Z","updated_at":"2021-09-30T09:28:58.440Z","grant_id":37,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54-HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7950,"fairsharing_record_id":874,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:02.109Z","updated_at":"2021-09-30T09:30:02.156Z","grant_id":523,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1RC2HG00566801","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"892","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-17T06:21:09.083Z","metadata":{"doi":"10.25504/FAIRsharing.kcnjj2","name":"Minimum Information about Flow Cytometry","status":"ready","contacts":[{"contact_name":"Ryan Brinkman","contact_email":"rbrinkman@bccrc.ca"}],"homepage":"http://flowcyt.sourceforge.net/miflowcyt/","citations":[{"doi":"10.1002/cyto.a.20623","pubmed_id":18752282,"publication_id":1813}],"identifier":892,"description":"The Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) establishes criteria for recording and reporting information about the flow cytometry experiment overview, samples, instrumentation and data analysis. It promotes consistent annotation of clinical, biological and technical issues surrounding a flow cytometry experiment by specifying the requirements for data content and by providing a structured framework for capturing information.","abbreviation":"MIFlowCyt","support_links":[{"url":"https://sourceforge.net/p/flowcyt/news/","name":"Flow Cytometry Data Standards / News","type":"Blog/News"},{"url":"https://sourceforge.net/p/flowcyt/discussion/","name":"Discussion","type":"Forum"},{"url":"https://sourceforge.net/projects/flowcyt/","name":"Project Activity","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000521","bsg-s000521"],"name":"FAIRsharing record for: Minimum Information about Flow Cytometry","abbreviation":"MIFlowCyt","url":"https://fairsharing.org/10.25504/FAIRsharing.kcnjj2","doi":"10.25504/FAIRsharing.kcnjj2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) establishes criteria for recording and reporting information about the flow cytometry experiment overview, samples, instrumentation and data analysis. It promotes consistent annotation of clinical, biological and technical issues surrounding a flow cytometry experiment by specifying the requirements for data content and by providing a structured framework for capturing information.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11172},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11597},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12036}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Biomedical Science"],"domains":["Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Canada","United States"],"publications":[{"id":1813,"pubmed_id":18752282,"title":"MIFlowCyt: the minimum information about a Flow Cytometry Experiment","year":2008,"url":"https://doi.org/10.1002/cyto.a.20623","authors":"Lee JA et al.","journal":"Cytometry A","doi":"10.1002/cyto.a.20623","created_at":"2021-09-30T08:25:43.488Z","updated_at":"2023-08-15T20:36:35.351Z"},{"id":1941,"pubmed_id":20737419,"title":"Minimum information about a flow cytometry experiment (MIFlowCyt) checklist (Numbered in accordance with MIFlowCyt 1.0 document)","year":2010,"url":"http://doi.org/10.1002/cyto.a.20941","authors":"MIFlowCyt consortium","journal":"Cytometry A .","doi":"10.1002/cyto.a.20941","created_at":"2021-09-30T08:25:58.445Z","updated_at":"2021-09-30T11:28:28.968Z"}],"licence_links":[],"grants":[{"id":6372,"fairsharing_record_id":892,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:58.276Z","updated_at":"2021-09-30T09:27:58.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6370,"fairsharing_record_id":892,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:58.215Z","updated_at":"2021-09-30T09:30:16.611Z","grant_id":632,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"EB005034","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6371,"fairsharing_record_id":892,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:58.244Z","updated_at":"2021-09-30T09:32:51.388Z","grant_id":1807,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"AI40076","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"893","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T11:30:05.389Z","metadata":{"doi":"10.25504/FAIRsharing.bey51s","name":"Banana Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_125:ROOT","citations":[],"identifier":893,"description":"The Banana Anatomy Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_125","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}],"year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001122","bsg-s001122"],"name":"FAIRsharing record for: Banana Anatomy Ontology","abbreviation":"CO_125","url":"https://fairsharing.org/10.25504/FAIRsharing.bey51s","doi":"10.25504/FAIRsharing.bey51s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Anatomy Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Plant Anatomy"],"domains":["Food","Phenotype","Morphology"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["France","Mexico"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":256,"relation":"undefined"}],"grants":[{"id":6375,"fairsharing_record_id":893,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:27:58.393Z","updated_at":"2021-09-30T09:27:58.393Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6373,"fairsharing_record_id":893,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:27:58.313Z","updated_at":"2021-09-30T09:27:58.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6374,"fairsharing_record_id":893,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:27:58.355Z","updated_at":"2021-09-30T09:27:58.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"894","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:17:47.659Z","metadata":{"doi":"10.25504/FAIRsharing.y5jcwa","name":"PhenX Phenotypic Terms","status":"deprecated","contacts":[{"contact_name":"Carol M. Hamilton","contact_email":"chamilton@rti.org"},{"contact_name":"PhenX Team","contact_email":"contact@phenxtoolkit.org","contact_orcid":null}],"homepage":"https://www.phenx.org/","citations":[],"identifier":894,"description":"Standard measures related to complex diseases, phenotypic traits and environmental exposures.","abbreviation":"PhenX","support_links":[{"url":"https://www.phenxtoolkit.org/about/contact-form","name":"contact","type":"Contact form"},{"url":"contact@phenxtoolkit.org","name":"General Contact","type":"Support email"},{"url":"webmaster@phenxtoolkit.org","name":"Site Related Contact:","type":"Support email"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PHENX","name":"PHENX","portal":"BioPortal"}],"deprecation_date":"2023-10-04","deprecation_reason":"This resource is no longer available from PhenX. Please see their database record at https://doi.org/10.25504/FAIRsharing.2wa7v7 for more information about this project."},"legacy_ids":["bsg-002818","bsg-s002818"],"name":"FAIRsharing record for: PhenX Phenotypic Terms","abbreviation":"PhenX","url":"https://fairsharing.org/10.25504/FAIRsharing.y5jcwa","doi":"10.25504/FAIRsharing.y5jcwa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Standard measures related to complex diseases, phenotypic traits and environmental exposures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Life Science","Biomedical Science"],"domains":["Phenotype","Disease","Exposure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1648,"pubmed_id":20154612,"title":"PhenX: a toolkit for interdisciplinary genetics research.","year":2010,"url":"http://doi.org/10.1097/MOL.0b013e3283377395","authors":"Stover PJ,Harlan WR,Hammond JA,Hendershot T,Hamilton CM","journal":"Curr Opin Lipidol","doi":"10.1097/MOL.0b013e3283377395","created_at":"2021-09-30T08:25:24.646Z","updated_at":"2021-09-30T08:25:24.646Z"},{"id":1700,"pubmed_id":21749974,"title":"The PhenX Toolkit: get the most from your measures.","year":2011,"url":"http://doi.org/10.1093/aje/kwr193","authors":"Hamilton CM,Strader LC,Pratt JG,Maiese D,Hendershot T,Kwok RK,Hammond JA,Huggins W,Jackman D,Pan H,Nettles DS,Beaty TH,Farrer LA,Kraft P,Marazita ML,Ordovas JM,Pato CN,Spitz MR,Wagener D,Williams M,Junkins HA,Harlan WR,Ramos EM,Haines J","journal":"Am J Epidemiol","doi":"10.1093/aje/kwr193","created_at":"2021-09-30T08:25:30.504Z","updated_at":"2021-09-30T08:25:30.504Z"},{"id":1701,"pubmed_id":28079902,"title":"PhenX measures for phenotyping rare genetic conditions.","year":2017,"url":"http://doi.org/10.1038/gim.2016.199","authors":"Phillips M,Grant T,Giampietro P,Bodurtha J,Valdez R,Maiese DR,Hendershot T,Terry SF,Hamilton CM","journal":"Genet Med","doi":"10.1038/gim.2016.199","created_at":"2021-09-30T08:25:30.620Z","updated_at":"2021-09-30T08:25:30.620Z"}],"licence_links":[],"grants":[{"id":6377,"fairsharing_record_id":894,"organisation_id":2226,"relation":"funds","created_at":"2021-09-30T09:27:58.469Z","updated_at":"2021-09-30T09:27:58.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":2226,"name":"Office of Behavioral and Social Sciences Research (OBSSR), NIH, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6376,"fairsharing_record_id":894,"organisation_id":2469,"relation":"maintains","created_at":"2021-09-30T09:27:58.430Z","updated_at":"2021-09-30T09:27:58.430Z","grant_id":null,"is_lead":true,"saved_state":{"id":2469,"name":"RTI International","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":6378,"fairsharing_record_id":894,"organisation_id":2030,"relation":"funds","created_at":"2021-09-30T09:27:58.506Z","updated_at":"2021-09-30T09:27:58.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":2030,"name":"National Institute on Minority Health and Health Disparities (NIMHD), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6379,"fairsharing_record_id":894,"organisation_id":2861,"relation":"funds","created_at":"2021-09-30T09:27:58.555Z","updated_at":"2021-09-30T09:27:58.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":2861,"name":"Tobacco Regulatory Science Program, National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6380,"fairsharing_record_id":894,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:58.597Z","updated_at":"2021-09-30T09:27:58.597Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6381,"fairsharing_record_id":894,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:27:58.638Z","updated_at":"2021-09-30T09:27:58.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6382,"fairsharing_record_id":894,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:27:58.677Z","updated_at":"2021-09-30T09:27:58.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6383,"fairsharing_record_id":894,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:58.710Z","updated_at":"2021-09-30T09:32:15.254Z","grant_id":1534,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41HG007050","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"831","type":"fairsharing_records","attributes":{"created_at":"2021-04-29T07:10:22.000Z","updated_at":"2023-12-21T10:09:16.437Z","metadata":{"doi":"10.25504/FAIRsharing.207caf","name":"Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics","status":"ready","contacts":[{"contact_name":"Nils Hoffmann","contact_email":"nils.hoffmann@cebitec.uni-bielefeld.de","contact_orcid":"0000-0002-6540-6875"}],"homepage":"https://github.com/HUPO-PSI/mzTab/tree/master/specification_document-releases/2_0-Metabolomics-Release","citations":[{"doi":"10.1021/acs.analchem.8b04310","pubmed_id":30688441,"publication_id":366},{"doi":"10.5281/zenodo.3361472","pubmed_id":null,"publication_id":4034}],"identifier":831,"description":"Consortia efforts from the Metabolomics Standards Initiative, Proteomics Standards Initiative, and the Metabolomics Society have created mzTab-M to act as a common output format for analytical approaches using MS on small molecules. The intention of this specification, mzTab for Metabolomics (mzTab-M), is to extend the concepts established in the previous specification, so that more detail can be captured about the evidence trail for quantification, including MS features (different charge states or adducts) and the evidence trail for identifications, specifically for MS-based experiments on small molecules (metabolites, lipids, contaminants, etc.). mzTab-M is not formally backwards compatible, but follows a similar design pattern to simplify adaptation of existing software and to facilitate its integration into bioinformatics processing and submission workflows.","abbreviation":"mzTab-M","support_links":[{"url":"https://github.com/lifs-tools/jmzTab-m-webapp","name":"GitHub Project Page","type":"Github"},{"url":"https://hupo-psi.github.io/mzTab/2_0-metabolomics-release/mzTab_format_specification_2_0-M_release.pdf","name":"mzTab-M exchange format for metabolomics results","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001611","bsg-s001611"],"name":"FAIRsharing record for: Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics","abbreviation":"mzTab-M","url":"https://fairsharing.org/10.25504/FAIRsharing.207caf","doi":"10.25504/FAIRsharing.207caf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Consortia efforts from the Metabolomics Standards Initiative, Proteomics Standards Initiative, and the Metabolomics Society have created mzTab-M to act as a common output format for analytical approaches using MS on small molecules. The intention of this specification, mzTab for Metabolomics (mzTab-M), is to extend the concepts established in the previous specification, so that more detail can be captured about the evidence trail for quantification, including MS features (different charge states or adducts) and the evidence trail for identifications, specifically for MS-based experiments on small molecules (metabolites, lipids, contaminants, etc.). mzTab-M is not formally backwards compatible, but follows a similar design pattern to simplify adaptation of existing software and to facilitate its integration into bioinformatics processing and submission workflows.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17758}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Life Science","Metabolomics","Biomedical Science"],"domains":["Mass spectrum","Resource metadata","Experimental measurement","Omics data analysis","Small molecule"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Germany","United Kingdom"],"publications":[{"id":366,"pubmed_id":30688441,"title":"mzTab-M: A Data Standard for Sharing Quantitative Results in Mass Spectrometry Metabolomics","year":2019,"url":"http://doi.org/10.1021/acs.analchem.8b04310","authors":"Nils Hoffmann, Joel Rein, Timo Sachsenberg et al.","journal":"Analytical Chemistry","doi":"10.1021/acs.analchem.8b04310","created_at":"2021-09-30T08:22:59.358Z","updated_at":"2021-09-30T08:22:59.358Z"},{"id":4034,"pubmed_id":null,"title":"mzTab 2.0 for Metabolomics Reader, Writer and Validator","year":2021,"url":"https://zenodo.org/doi/10.5281/zenodo.3361472","authors":"Nils Hoffmann, Ming Wang, SurajV, \u0026 Steffen Neumann","journal":"Zenodo","doi":"10.5281/zenodo.3361472","created_at":"2023-10-23T23:09:46.019Z","updated_at":"2023-10-23T23:11:16.995Z"}],"licence_links":[],"grants":[{"id":6234,"fairsharing_record_id":831,"organisation_id":1822,"relation":"maintains","created_at":"2021-09-30T09:27:53.636Z","updated_at":"2021-09-30T09:27:53.636Z","grant_id":null,"is_lead":true,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6235,"fairsharing_record_id":831,"organisation_id":1721,"relation":"maintains","created_at":"2021-09-30T09:27:53.660Z","updated_at":"2021-09-30T09:27:53.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":1721,"name":"Lipidomics Standards Initiative (LSI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6236,"fairsharing_record_id":831,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:27:53.686Z","updated_at":"2021-09-30T09:27:53.686Z","grant_id":null,"is_lead":false,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"832","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:16.000Z","updated_at":"2022-07-20T12:48:58.034Z","metadata":{"doi":"10.25504/FAIRsharing.2jkxp5","name":"Rice Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_320:ROOT","citations":[],"identifier":832,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The IBP Rice Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Based on SES, Rice Descriptor and IRIS DB.","abbreviation":"CO_320","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"BorjaFrancesNikki@cgiar.org","name":"Nikki Frances Borja","type":"Support email"},{"url":"j.detras@cgiar.org","name":"Jeffrey A. Detras","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000724","bsg-s000724"],"name":"FAIRsharing record for: Rice Ontology","abbreviation":"CO_320","url":"https://fairsharing.org/10.25504/FAIRsharing.2jkxp5","doi":"10.25504/FAIRsharing.2jkxp5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The IBP Rice Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Based on SES, Rice Descriptor and IRIS DB.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Oryza sativa"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Philippines"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1753,"relation":"undefined"}],"grants":[{"id":6237,"fairsharing_record_id":832,"organisation_id":1511,"relation":"maintains","created_at":"2021-09-30T09:27:53.710Z","updated_at":"2021-09-30T09:27:53.710Z","grant_id":null,"is_lead":true,"saved_state":{"id":1511,"name":"International Rice Research Institute (IRRI), Los Banos, Philippines","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"884","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.496Z","metadata":{"doi":"10.25504/FAIRsharing.bf8dsb","name":"MedlinePlus Health Topics","status":"ready","contacts":[{"contact_name":"NLM Customer Service","contact_email":"custserv@nlm.nih.gov"}],"homepage":"http://www.nlm.nih.gov/medlineplus/xmldescription.html","identifier":884,"description":"This resource provides information on the symptoms, causes, treatment and prevention for a wide range of diseases, illnesses, health conditions and wellness issues. MedlinePlus health topics are regularly reviewed, and links are updated daily.","abbreviation":"MEDLINEPLUS","support_links":[{"url":"https://medlineplus.gov/healthtopics.html","name":"Health Topics","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEDLINEPLUS","name":"MEDLINEPLUS","portal":"BioPortal"}]},"legacy_ids":["bsg-002583","bsg-s002583"],"name":"FAIRsharing record for: MedlinePlus Health Topics","abbreviation":"MEDLINEPLUS","url":"https://fairsharing.org/10.25504/FAIRsharing.bf8dsb","doi":"10.25504/FAIRsharing.bf8dsb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource provides information on the symptoms, causes, treatment and prevention for a wide range of diseases, illnesses, health conditions and wellness issues. MedlinePlus health topics are regularly reviewed, and links are updated daily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6357,"fairsharing_record_id":884,"organisation_id":1814,"relation":"maintains","created_at":"2021-09-30T09:27:57.773Z","updated_at":"2021-09-30T09:27:57.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":1814,"name":"MedLinePlus Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6358,"fairsharing_record_id":884,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:57.798Z","updated_at":"2021-09-30T09:27:57.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"885","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:36:30.684Z","metadata":{"doi":"10.25504/FAIRsharing.dq78pn","name":"Clinical Measurement Ontology","status":"ready","contacts":[{"contact_name":"Mary Shimoyama","contact_email":"shimoyama@mcw.edu","contact_orcid":"0000-0003-1176-0796"}],"homepage":"http://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=CMO:0000000","identifier":885,"description":"The Clinical Measurement Ontology is designed to be used to standardize morphological and physiological measurement records generated from clinical and model organism research and health programs.","abbreviation":"CMO","support_links":[{"url":"http://rgd.mcw.edu/contact/index.shtml","name":"RGD Contact Form","type":"Contact form"},{"url":"jrsmith@mcw.edu","name":"Jennifer Smith","type":"Support email"},{"url":"http://sourceforge.net/projects/phenoonto/","name":"Sourceforge Project","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CMO","name":"CMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cmo.html","name":"cmo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002713","bsg-s002713"],"name":"FAIRsharing record for: Clinical Measurement Ontology","abbreviation":"CMO","url":"https://fairsharing.org/10.25504/FAIRsharing.dq78pn","doi":"10.25504/FAIRsharing.dq78pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Clinical Measurement Ontology is designed to be used to standardize morphological and physiological measurement records generated from clinical and model organism research and health programs.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12027},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12462}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Model organism","Electronic health record","Phenotype","Disease"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":891,"pubmed_id":22654893,"title":"Three ontologies to define phenotype measurement data.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00087","authors":"Shimoyama M,Nigam R,McIntosh LS,Nagarajan R,Rice T,Rao DC,Dwinell MR","journal":"Front Genet","doi":"10.3389/fgene.2012.00087","created_at":"2021-09-30T08:23:58.429Z","updated_at":"2021-09-30T08:23:58.429Z"},{"id":1772,"pubmed_id":24103152,"title":"The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-26","authors":"Smith JR,Park CA,Nigam R,Laulederkind SJ,Hayman GT,Wang SJ,Lowry TF,Petri V,Pons JD,Tutaj M,Liu W,Worthey EA,Shimoyama M,Dwinell MR","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-26","created_at":"2021-09-30T08:25:38.805Z","updated_at":"2021-09-30T08:25:38.805Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":269,"relation":"undefined"}],"grants":[{"id":6361,"fairsharing_record_id":885,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:57.925Z","updated_at":"2021-09-30T09:27:57.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6359,"fairsharing_record_id":885,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:57.822Z","updated_at":"2021-09-30T09:29:46.348Z","grant_id":395,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL094286","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6360,"fairsharing_record_id":885,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:27:57.887Z","updated_at":"2021-09-30T09:27:57.887Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7953,"fairsharing_record_id":885,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:03.160Z","updated_at":"2021-09-30T09:30:03.278Z","grant_id":531,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7986,"fairsharing_record_id":885,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:15.744Z","updated_at":"2021-09-30T09:30:15.849Z","grant_id":626,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HL064541","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"887","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.563Z","metadata":{"doi":"10.25504/FAIRsharing.mtvxae","name":"Family Health History Ontology","status":"uncertain","contacts":[{"contact_name":"Jane Peace","contact_email":"jpeace@unc.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1126","identifier":887,"description":"The FHHO facilitates representing the family health histories of persons related by biological and/or social family relationships (e.g. step, adoptive) who share genetic, behavioral, and/or environmental risk factors for disease. SWRL rules are included to compute 3 generations of biological relationships based on parentage and family history findings based on personal health findings.","abbreviation":"FHHO","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FHHO","name":"FHHO","portal":"BioPortal"}]},"legacy_ids":["bsg-002580","bsg-s002580"],"name":"FAIRsharing record for: Family Health History Ontology","abbreviation":"FHHO","url":"https://fairsharing.org/10.25504/FAIRsharing.mtvxae","doi":"10.25504/FAIRsharing.mtvxae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FHHO facilitates representing the family health histories of persons related by biological and/or social family relationships (e.g. step, adoptive) who share genetic, behavioral, and/or environmental risk factors for disease. SWRL rules are included to compute 3 generations of biological relationships based on parentage and family history findings based on personal health findings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Human Genetics","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6362,"fairsharing_record_id":887,"organisation_id":310,"relation":"maintains","created_at":"2021-09-30T09:27:57.958Z","updated_at":"2021-09-30T09:27:57.958Z","grant_id":null,"is_lead":false,"saved_state":{"id":310,"name":"Brennan Healthsystems Lab, Madison, WI, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"906","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:47.107Z","metadata":{"doi":"10.25504/FAIRsharing.6s2sfz","name":"BioTop","status":"ready","contacts":[{"contact_name":"Stefan Schulz","contact_email":"stefan.schulz@medunigraz.at"}],"homepage":"http://biotopontology.github.io/","identifier":906,"description":"A top-domain ontology that provides definitions for the foundational entities of biomedicine as a basic vocabulary to unambiguously describe facts in this domain. This ontology is no longer maintained, as it duplicated much of the content in other ontologies. Though not maintained, this ontology remains available for use. The currently maintained version is BioTopLite 2 (BTL2).","abbreviation":"BT","support_links":[{"url":"https://github.com/BioTopOntology/biotop/issues","name":"GitHub forum","type":"Github"},{"url":"https://groups.google.com/forum/#!forum/biotop","name":"Google group forum","type":"Forum"},{"url":"https://github.com/BioTopOntology/biotop","name":"GitHub repository","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BT","name":"BT","portal":"BioPortal"}]},"legacy_ids":["bsg-002575","bsg-s002575"],"name":"FAIRsharing record for: BioTop","abbreviation":"BT","url":"https://fairsharing.org/10.25504/FAIRsharing.6s2sfz","doi":"10.25504/FAIRsharing.6s2sfz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A top-domain ontology that provides definitions for the foundational entities of biomedicine as a basic vocabulary to unambiguously describe facts in this domain. This ontology is no longer maintained, as it duplicated much of the content in other ontologies. Though not maintained, this ontology remains available for use. The currently maintained version is BioTopLite 2 (BTL2).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":990,"pubmed_id":null,"title":"BioTopLite: An Upper Level Ontology for the Life Sciences. Evolution, Design and Application","year":2013,"url":"http://biotopontology.github.io/papers/Schulz,%20Boeker%20-%202013%20-%20BioTopLite%20An%20Upper%20Level%20Ontology%20for%20the%20Life%20Sciences.%20Evolution,%20Design%20and%20Application.pdf","authors":"Stefan Schulz, Martin Boeker","journal":"Furbach U, Staab S, eds. Informatik 2013. Koblenz: IOS Press; 2013.","doi":null,"created_at":"2021-09-30T08:24:09.580Z","updated_at":"2021-09-30T08:24:09.580Z"},{"id":1881,"pubmed_id":19478019,"title":"Alignment of the UMLS semantic network with BioTop: methodology and assessment.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp194","authors":"Schulz S,Beisswanger E,van den Hoek L,Bodenreider O,van Mulligen EM","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp194","created_at":"2021-09-30T08:25:51.607Z","updated_at":"2021-09-30T08:25:51.607Z"}],"licence_links":[],"grants":[{"id":6407,"fairsharing_record_id":906,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:59.630Z","updated_at":"2021-09-30T09:29:17.427Z","grant_id":179,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"JA 1904/2-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7910,"fairsharing_record_id":906,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:29:39.710Z","updated_at":"2021-09-30T09:29:39.761Z","grant_id":348,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"SCHU 2515/1-1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"907","type":"fairsharing_records","attributes":{"created_at":"2017-07-26T09:50:38.000Z","updated_at":"2022-07-20T12:14:34.111Z","metadata":{"doi":"10.25504/FAIRsharing.zcjkc7","name":"Standard for Documentation of Astronomical Catalogues","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"cds-question@unistra.fr"}],"homepage":"http://cds.u-strasbg.fr/doc/catstd.htx","identifier":907,"description":"A set of conventions for archiving astronomical data. As well as path, filename and data format conventions, the key file is a plain text description file, including all the necessary metadata information related to the catalogue: author(s), reference(s) of the related published papers, brief summary, scientific keys, caption and accurate description of each table of the catalogue.","abbreviation":"SDAC","support_links":[{"url":"http://cds.u-strasbg.fr/doc/catstd.pdf","name":"SDAC Documentation (pdf)","type":"Help documentation"}],"year_creation":1994},"legacy_ids":["bsg-000713","bsg-s000713"],"name":"FAIRsharing record for: Standard for Documentation of Astronomical Catalogues","abbreviation":"SDAC","url":"https://fairsharing.org/10.25504/FAIRsharing.zcjkc7","doi":"10.25504/FAIRsharing.zcjkc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A set of conventions for archiving astronomical data. As well as path, filename and data format conventions, the key file is a plain text description file, including all the necessary metadata information related to the catalogue: author(s), reference(s) of the related published papers, brief summary, scientific keys, caption and accurate description of each table of the catalogue.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":6410,"fairsharing_record_id":907,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:27:59.743Z","updated_at":"2021-09-30T09:27:59.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6409,"fairsharing_record_id":907,"organisation_id":450,"relation":"maintains","created_at":"2021-09-30T09:27:59.711Z","updated_at":"2021-09-30T09:27:59.711Z","grant_id":null,"is_lead":false,"saved_state":{"id":450,"name":"Centre de Donnes astronomiques de Strasbourg (CDS), Strasbourg, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6411,"fairsharing_record_id":907,"organisation_id":2988,"relation":"maintains","created_at":"2021-09-30T09:27:59.771Z","updated_at":"2021-09-30T09:27:59.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":2988,"name":"Universite de Strasbourg, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"908","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2023-03-15T08:09:20.153Z","metadata":{"doi":"10.25504/FAIRsharing.vb7991","name":"Ontology of Genes and Genomes - Mouse","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://bitbucket.org/hegroup/ogg-mm","citations":[],"identifier":908,"description":"OGG-Mm is the OGG Mus musculus (mouse) subset. The OGG (Ontology of Genes and Genomes) is a formal ontology of genes and genomes of biological organisms. OGG is developed by following OBO Foundry principles and aligning with the BFO top-level ontology.","abbreviation":"OGG-MM","support_links":[{"url":"https://bitbucket.org/hegroup/ogg-mouse/issues/","name":"Bitbucket Issue Tracker","type":"Forum"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGG-MM","name":"OGG-MM","portal":"BioPortal"}]},"legacy_ids":["bsg-000992","bsg-s000992"],"name":"FAIRsharing record for: Ontology of Genes and Genomes - Mouse","abbreviation":"OGG-MM","url":"https://fairsharing.org/10.25504/FAIRsharing.vb7991","doi":"10.25504/FAIRsharing.vb7991","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OGG-Mm is the OGG Mus musculus (mouse) subset. The OGG (Ontology of Genes and Genomes) is a formal ontology of genes and genomes of biological organisms. OGG is developed by following OBO Foundry principles and aligning with the BFO top-level ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Gene","Genome"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6412,"fairsharing_record_id":908,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:59.802Z","updated_at":"2021-09-30T09:27:59.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"909","type":"fairsharing_records","attributes":{"created_at":"2015-02-02T18:10:08.000Z","updated_at":"2021-11-24T13:13:53.690Z","metadata":{"doi":"10.25504/FAIRsharing.s248mf","name":"W3C HCLS Dataset Description","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com","contact_orcid":"0000-0003-4727-9435"}],"homepage":"http://www.w3.org/TR/hcls-dataset/","identifier":909,"description":"Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. This document describes a consensus among participating stakeholders in the Health Care and the Life Sciences domain on the description of datasets using the Resource Description Framework (RDF). This specification meets key functional requirements, reuses existing vocabularies to the extent that it is possible, and addresses elements of data description, versioning, provenance, discovery, exchange, query, and retrieval.","abbreviation":null,"support_links":[{"url":"http://www.w3.org/Help/","type":"Help documentation"},{"url":"http://www.w3.org/TR/hcls-dataset/","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000579","bsg-s000579"],"name":"FAIRsharing record for: W3C HCLS Dataset Description","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.s248mf","doi":"10.25504/FAIRsharing.s248mf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. This document describes a consensus among participating stakeholders in the Health Care and the Life Sciences domain on the description of datasets using the Resource Description Framework (RDF). This specification meets key functional requirements, reuses existing vocabularies to the extent that it is possible, and addresses elements of data description, versioning, provenance, discovery, exchange, query, and retrieval.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11205}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Life Science","Biomedical Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Bulgaria","Canada","Japan","Netherlands","Switzerland","United Kingdom","United States"],"publications":[{"id":2144,"pubmed_id":27602295,"title":"The health care and life sciences community profile for dataset descriptions.","year":2016,"url":"http://doi.org/10.7717/peerj.2331","authors":"Dumontier M. et al.","journal":"PeerJ","doi":"10.7717/peerj.2331","created_at":"2021-09-30T08:26:21.666Z","updated_at":"2021-09-30T08:26:21.666Z"}],"licence_links":[],"grants":[{"id":6414,"fairsharing_record_id":909,"organisation_id":952,"relation":"maintains","created_at":"2021-09-30T09:27:59.886Z","updated_at":"2021-09-30T09:27:59.886Z","grant_id":null,"is_lead":false,"saved_state":{"id":952,"name":"European Research Consortium for Informatics and Mathematics","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6416,"fairsharing_record_id":909,"organisation_id":188,"relation":"maintains","created_at":"2021-09-30T09:27:59.952Z","updated_at":"2021-09-30T09:27:59.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":188,"name":"Beihang University, Beihang, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6419,"fairsharing_record_id":909,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:00.071Z","updated_at":"2021-09-30T09:28:00.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6415,"fairsharing_record_id":909,"organisation_id":1631,"relation":"maintains","created_at":"2021-09-30T09:27:59.921Z","updated_at":"2021-09-30T09:27:59.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":1631,"name":"Keio University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6417,"fairsharing_record_id":909,"organisation_id":589,"relation":"maintains","created_at":"2021-09-30T09:27:59.990Z","updated_at":"2021-09-30T09:27:59.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":589,"name":"Computer Science and Artificial Intelligence Laboratory, Massacheusetts Institute of Technology, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6418,"fairsharing_record_id":909,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:00.032Z","updated_at":"2021-09-30T09:28:00.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6420,"fairsharing_record_id":909,"organisation_id":3207,"relation":"maintains","created_at":"2021-09-30T09:28:00.102Z","updated_at":"2021-09-30T09:28:00.102Z","grant_id":null,"is_lead":false,"saved_state":{"id":3207,"name":"W3C Semantic Web for Health Care and Life Sciences Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6413,"fairsharing_record_id":909,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:59.848Z","updated_at":"2021-09-30T09:31:20.653Z","grant_id":1127,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 HG008033-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"912","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T15:26:35.000Z","updated_at":"2022-02-08T10:35:36.223Z","metadata":{"doi":"10.25504/FAIRsharing.81f1d3","name":"JavaScript Object Notation for Simple Knowledge Organization Systems","status":"ready","contacts":[{"contact_name":"Jakob Voss","contact_email":"voss@gbv.de"}],"homepage":"http://gbv.github.io/jskos/","identifier":912,"description":"JSKOS (JavaScript Object Notation for Simple Knowledge Organization Systems) defines a JavaScript Object Notation (JSON) structure to encode knowledge organization systems (KOS), such as classifications, thesauri, and authority files. JSKOS supports encoding of concepts, concept schemes, concept occurrences, and concept mappings with their common properties. It further defines application profiles for registries, distributions, and annotations. The main part of JSKOS is compatible with Simple Knowledge Organisation System (SKOS) and JavaScript Object Notation for Linked Data (JSON-LD) but JSKOS can be used without having to be experienced in any of these technologies. A simple JSKOS document can be mapped to SKOS expressed in the Resource Description Framework (RDF), and vice versa. JSKOS further supports closed world statements to express incomplete information about knowledge organization systems to facilitate use in dynamic web applications.","abbreviation":"JSKOS","support_links":[{"url":"coli-conc@gbv.de","name":"General Contact","type":"Support email"},{"url":"https://github.com/gbv/jskos","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/coli_conc","name":"@coli_conc","type":"Twitter"}],"year_creation":2019},"legacy_ids":["bsg-001563","bsg-s001563"],"name":"FAIRsharing record for: JavaScript Object Notation for Simple Knowledge Organization Systems","abbreviation":"JSKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.81f1d3","doi":"10.25504/FAIRsharing.81f1d3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JSKOS (JavaScript Object Notation for Simple Knowledge Organization Systems) defines a JavaScript Object Notation (JSON) structure to encode knowledge organization systems (KOS), such as classifications, thesauri, and authority files. JSKOS supports encoding of concepts, concept schemes, concept occurrences, and concept mappings with their common properties. It further defines application profiles for registries, distributions, and annotations. The main part of JSKOS is compatible with Simple Knowledge Organisation System (SKOS) and JavaScript Object Notation for Linked Data (JSON-LD) but JSKOS can be used without having to be experienced in any of these technologies. A simple JSKOS document can be mapped to SKOS expressed in the Resource Description Framework (RDF), and vice versa. JSKOS further supports closed world statements to express incomplete information about knowledge organization systems to facilitate use in dynamic web applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":6422,"fairsharing_record_id":912,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:28:00.216Z","updated_at":"2021-09-30T09:28:00.216Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6423,"fairsharing_record_id":912,"organisation_id":550,"relation":"maintains","created_at":"2021-09-30T09:28:00.253Z","updated_at":"2021-09-30T09:28:00.253Z","grant_id":null,"is_lead":true,"saved_state":{"id":550,"name":"coli-conc Project, Verbundzentrale des GBV (VZG), Gottingen, Germany","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"913","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2021-11-24T13:15:48.550Z","metadata":{"doi":"10.25504/FAIRsharing.d1zzym","name":"Ethnicity Ontology","status":"ready","contacts":[{"contact_name":"Harshana Liyanage","contact_email":"harshana.liyanage@phc.ox.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/EO","identifier":913,"description":"The Ethnicity Ontology (EO) has been developed by extending BFO to have a common reference for ethnicity concepts for semantic integration of datasets. It attempts to utilise iterated proxy markers for ethnicity such language spoken and interpreter requirements in order to support health care research studies.","abbreviation":"EO","support_links":[{"url":"simon.delusignan@phc.ox.ac.uk","name":"Simon de Lusignan","type":"Support email"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EO","name":"EO","portal":"BioPortal"}]},"legacy_ids":["bsg-000997","bsg-s000997"],"name":"FAIRsharing record for: Ethnicity Ontology","abbreviation":"EO","url":"https://fairsharing.org/10.25504/FAIRsharing.d1zzym","doi":"10.25504/FAIRsharing.d1zzym","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ethnicity Ontology (EO) has been developed by extending BFO to have a common reference for ethnicity concepts for semantic integration of datasets. It attempts to utilise iterated proxy markers for ethnicity such language spoken and interpreter requirements in order to support health care research studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12528}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Social Anthropology","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Language"],"countries":["United Kingdom"],"publications":[{"id":2707,"pubmed_id":28346128,"title":"Ethnicity Recording in Primary Care Computerised Medical Record Systems: An Ontological Approach.","year":2017,"url":"http://doi.org/10.14236/jhi.v23i4.920","authors":"Tippu Z,Correa A,Liyanage H,Burleigh D,McGovern A,Van Vlymen J,Jones S,De Lusignan S","journal":"J Innov Health Inform","doi":"10.14236/jhi.v23i4.920","created_at":"2021-09-30T08:27:32.470Z","updated_at":"2021-09-30T08:27:32.470Z"}],"licence_links":[],"grants":[{"id":6424,"fairsharing_record_id":913,"organisation_id":541,"relation":"maintains","created_at":"2021-09-30T09:28:00.285Z","updated_at":"2021-09-30T09:28:00.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":541,"name":"Clinical Informatics \u0026 Health Outcomes Research Group, University of Surrey, UK","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"925","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T11:47:55.654Z","metadata":{"doi":"10.25504/FAIRsharing.eeyne8","name":"Maize Ontology","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_322:ROOT","citations":[],"identifier":925,"description":"The Maize Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_322","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Help documentation"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001108","bsg-s001108"],"name":"FAIRsharing record for: Maize Ontology","abbreviation":"CO_322","url":"https://fairsharing.org/10.25504/FAIRsharing.eeyne8","doi":"10.25504/FAIRsharing.eeyne8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Maize Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Zea mays"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":792,"relation":"undefined"}],"grants":[{"id":6447,"fairsharing_record_id":925,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:01.233Z","updated_at":"2021-09-30T09:28:01.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6446,"fairsharing_record_id":925,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:28:01.149Z","updated_at":"2021-09-30T09:28:01.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"926","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T12:58:36.000Z","updated_at":"2022-02-08T10:49:56.043Z","metadata":{"doi":"10.25504/FAIRsharing.0c89ff","name":"Translation Memory eXchange","status":"ready","contacts":[{"contact_name":"Yves Savourel","contact_email":"ysavourel@translate.com"}],"homepage":"https://www.gala-global.org/tmx-14b","citations":[],"identifier":926,"description":"Translation Memory eXchange (TMX) is an XML based standard which describes translation memory data that is being exchanged among tools and/or translation vendors, while introducing little or no loss of critical data during the process.","abbreviation":"TMX","support_links":[{"url":"https://en.wikipedia.org/wiki/Translation_Memory_eXchange","name":"TMX Wikipedia Page","type":"Wikipedia"}],"year_creation":2005},"legacy_ids":["bsg-001280","bsg-s001280"],"name":"FAIRsharing record for: Translation Memory eXchange","abbreviation":"TMX","url":"https://fairsharing.org/10.25504/FAIRsharing.0c89ff","doi":"10.25504/FAIRsharing.0c89ff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Translation Memory eXchange (TMX) is an XML based standard which describes translation memory data that is being exchanged among tools and/or translation vendors, while introducing little or no loss of critical data during the process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":460,"relation":"undefined"}],"grants":[{"id":6448,"fairsharing_record_id":926,"organisation_id":1174,"relation":"maintains","created_at":"2021-09-30T09:28:01.276Z","updated_at":"2021-09-30T09:28:01.276Z","grant_id":null,"is_lead":true,"saved_state":{"id":1174,"name":"Globalization and Localization Association (GALA), Seattle, Washington, United States","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"927","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2024-06-21T16:29:54.633Z","metadata":{"doi":"10.25504/FAIRsharing.jprvcd","name":"Stroke Scale Ontology","status":"ready","contacts":[{"contact_name":"Petr Vcelak","contact_email":"vcelak@kiv.zcu.cz"}],"homepage":"http://bioportal.bioontology.org/ontologies/NIHSS","citations":[],"identifier":927,"description":"Domain ontology for describing the standardized neurological examination of stroke patients according to the National Institutes of Health Stroke Scale (NIHSS). The ontology is intended for describing the assessment of a patient after a stroke. A patient with more limitations is evaluated with more points (worse condition). An evaluation (score) with a value of 0 (zero) indicates a normal state.","abbreviation":"nihss","year_creation":2014,"associated_tools":[{"url":"https://mre.zcu.cz/metamed/","name":"MetaMed"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIHSS","name":"NIHSS","portal":"BioPortal"},{"url":"https://mre.zcu.cz/ontology/nihss.owl","name":"NIHSS Ontology","portal":"Other"},{"url":"https://mre.zcu.cz/ontology/nihss","name":"NIHSS Ontology documentation","portal":"Other"}]},"legacy_ids":["bsg-000816","bsg-s000816"],"name":"FAIRsharing record for: Stroke Scale Ontology","abbreviation":"nihss","url":"https://fairsharing.org/10.25504/FAIRsharing.jprvcd","doi":"10.25504/FAIRsharing.jprvcd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Domain ontology for describing the standardized neurological examination of stroke patients according to the National Institutes of Health Stroke Scale (NIHSS). The ontology is intended for describing the assessment of a patient after a stroke. A patient with more limitations is evaluated with more points (worse condition). An evaluation (score) with a value of 0 (zero) indicates a normal state.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Neuroscience"],"domains":["Cardiovascular disease"],"taxonomies":["All"],"user_defined_tags":["stroke"],"countries":["Czech Republic"],"publications":[],"licence_links":[],"grants":[{"id":11265,"fairsharing_record_id":927,"organisation_id":2023,"relation":"associated_with","created_at":"2024-02-05T09:41:39.939Z","updated_at":"2024-02-05T09:41:39.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","types":["Research institute"],"is_lead":false,"relation":"associated_with"}},{"id":11266,"fairsharing_record_id":927,"organisation_id":4228,"relation":"associated_with","created_at":"2024-02-05T09:41:39.939Z","updated_at":"2024-02-05T09:41:39.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":4228,"name":"Faculty of Applied Sciences West Bohemia","types":["Research institute"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"928","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:19:06.487Z","metadata":{"doi":"10.25504/FAIRsharing.z656ab","name":"Dictyostelium Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Pascale Gaudet","contact_email":"pgaudet@northwestern.edu","contact_orcid":"0000-0003-1813-6857"}],"homepage":"http://dictybase.org/Dicty_Info/dicty_anatomy_ontology.html","identifier":928,"description":"The Dictyostelium Anatomy Ontology ontology describes the anatomy of the slime mold. It defines the structural makeup of Dictyostelium and its composing parts including the different cell types, throughout its life cycle. It has two main goals: (1) promote the consistent annotation of Dictyostelium-specific events, such as phenotypes and gene expression information; and (2) encourage researchers to use the same terms with the same intended meaning.","abbreviation":"DDANAT","support_links":[{"url":"http://dictybase.org/db/cgi-bin/dictyBase/suggestion","name":"Suggestion and Contact Form","type":"Contact form"},{"url":"dictybase@northwestern.edu","name":"General contact","type":"Support email"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDANAT","name":"DDANAT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ddanat.html","name":"ddanat","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000024","bsg-s000024"],"name":"FAIRsharing record for: Dictyostelium Anatomy Ontology","abbreviation":"DDANAT","url":"https://fairsharing.org/10.25504/FAIRsharing.z656ab","doi":"10.25504/FAIRsharing.z656ab","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dictyostelium Anatomy Ontology ontology describes the anatomy of the slime mold. It defines the structural makeup of Dictyostelium and its composing parts including the different cell types, throughout its life cycle. It has two main goals: (1) promote the consistent annotation of Dictyostelium-specific events, such as phenotypes and gene expression information; and (2) encourage researchers to use the same terms with the same intended meaning.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell"],"taxonomies":["Dictyostelium discoideum","Dictyostelium fasciculatum","Dictyostelium purpureum","Polysphondylium pallidum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2135,"pubmed_id":18366659,"title":"An anatomy ontology to represent biological knowledge in Dictyostelium discoideum.","year":2008,"url":"http://doi.org/10.1186/1471-2164-9-130","authors":"Gaudet P,Williams JG,Fey P,Chisholm RL","journal":"BMC Genomics","doi":"10.1186/1471-2164-9-130","created_at":"2021-09-30T08:26:20.725Z","updated_at":"2021-09-30T08:26:20.725Z"}],"licence_links":[],"grants":[{"id":6450,"fairsharing_record_id":928,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:01.336Z","updated_at":"2021-09-30T09:28:01.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6451,"fairsharing_record_id":928,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:28:01.365Z","updated_at":"2021-09-30T09:28:01.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6452,"fairsharing_record_id":928,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:01.416Z","updated_at":"2021-09-30T09:29:22.560Z","grant_id":219,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG00022","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6449,"fairsharing_record_id":928,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:01.307Z","updated_at":"2021-09-30T09:29:46.110Z","grant_id":393,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM64426","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"919","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:10:12.301Z","metadata":{"doi":"10.25504/FAIRsharing.azqskx","name":"Environment Ontology","status":"ready","contacts":[{"contact_name":"Pier Luigi Buttigieg","contact_email":"p.buttigieg@googlemail.com"}],"homepage":"http://environmentontology.org/","citations":[{"doi":"10.1186/2041-1480-4-43","pubmed_id":24330602,"publication_id":1656}],"identifier":919,"description":"The Environment Ontology (EnvO) provides a controlled, structured vocabulary that is designed to support the annotation of any organism or biological sample with environment descriptors. EnvO contains terms ranging from astronomical objects, through planetary scale biomes, to nanomaterials. Further, these terms are interlinked with logical axioms describing their composition, colocalisation, and relationships to environmental and biological processes. Using ENVO terms for an environmental description allows a comprehensive description of environment that is key to machine-assisted integration, archiving and federated searching of environmental data.","abbreviation":"ENVO","support_links":[{"url":"http://environmentontology.org/contact","name":"Contact the Consortium","type":"Contact form"},{"url":"https://github.com/EnvironmentOntology/envo/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/EnvironmentOntology/envo","name":"GitHub Repository","type":"Github"},{"url":"http://www.environmentontology.org/annotation-guidelines","name":"Annotation Guidelines","type":"Help documentation"},{"url":"https://sites.google.com/site/environmentontology/about-envo","name":"About","type":"Help documentation"},{"url":"https://sites.google.com/site/environmentontology/annotation-guidelines","name":"Annotation Guidelines","type":"Help documentation"},{"url":"https://twitter.com/envoTweets","name":"@envoTweets","type":"Twitter"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ENVO","name":"ENVO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/envo.html","name":"envo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000060","bsg-s000060"],"name":"FAIRsharing record for: Environment Ontology","abbreviation":"ENVO","url":"https://fairsharing.org/10.25504/FAIRsharing.azqskx","doi":"10.25504/FAIRsharing.azqskx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Environment Ontology (EnvO) provides a controlled, structured vocabulary that is designed to support the annotation of any organism or biological sample with environment descriptors. EnvO contains terms ranging from astronomical objects, through planetary scale biomes, to nanomaterials. Further, these terms are interlinked with logical axioms describing their composition, colocalisation, and relationships to environmental and biological processes. Using ENVO terms for an environmental description allows a comprehensive description of environment that is key to machine-assisted integration, archiving and federated searching of environmental data.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10852},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12199},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12406},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13900},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14555},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16038}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Ecology","Life Science","Nutritional Science","Epidemiology"],"domains":["Environmental material","Marine metagenome","Microbiome"],"taxonomies":["Algae","Archaea","Bacteria","Eukaryota","Fungi","Metazoa","Protozoa","Viruses"],"user_defined_tags":[],"countries":["Germany","Kenya","United States"],"publications":[{"id":894,"pubmed_id":27664130,"title":"The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0097-6","authors":"Buttigieg PL,Pafilis E,Lewis SE,Schildhauer MP,Walls RL,Mungall CJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0097-6","created_at":"2021-09-30T08:23:58.796Z","updated_at":"2021-09-30T08:23:58.796Z"},{"id":1656,"pubmed_id":24330602,"title":"The environment ontology: contextualising biological and biomedical entities.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-43","authors":"Buttigieg PL,Morrison N,Smith B,Mungall CJ,Lewis SE","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-43","created_at":"2021-09-30T08:25:25.505Z","updated_at":"2021-09-30T08:25:25.505Z"},{"id":2405,"pubmed_id":26896844,"title":"EXTRACT: interactive extraction of environment metadata and term suggestion for metagenomic sample annotation.","year":2016,"url":"http://doi.org/10.1093/database/baw005","authors":"Pafilis E,Buttigieg PL,Ferrell B,Pereira E,Schnetzer J,Arvanitidis C,Jensen LJ","journal":"Database (Oxford)","doi":"10.1093/database/baw005","created_at":"2021-09-30T08:26:55.193Z","updated_at":"2021-09-30T08:26:55.193Z"},{"id":2416,"pubmed_id":26713234,"title":"Emerging semantics to link phenotype and environment.","year":2015,"url":"http://doi.org/10.7717/peerj.1470","authors":"Thessen AE,Bunker DE,Buttigieg PL,Cooper LD,Dahdul WM,Domisch S,Franz NM,Jaiswal P,Lawrence-Dill CJ,Midford PE,Mungall CJ,Ramirez MJ,Specht CD,Vogt L,Vos RA,Walls RL,White JW,Zhang G,Deans AR,Huala E,Lewis SE,Mabee PM","journal":"PeerJ","doi":"10.7717/peerj.1470","created_at":"2021-09-30T08:26:56.545Z","updated_at":"2021-09-30T08:26:56.545Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2258,"relation":"undefined"}],"grants":[{"id":6428,"fairsharing_record_id":919,"organisation_id":870,"relation":"maintains","created_at":"2021-09-30T09:28:00.457Z","updated_at":"2021-09-30T09:28:00.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":870,"name":"ENVO administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6432,"fairsharing_record_id":919,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:00.616Z","updated_at":"2021-09-30T09:32:15.361Z","grant_id":1535,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"287589","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6429,"fairsharing_record_id":919,"organisation_id":56,"relation":"funds","created_at":"2021-09-30T09:28:00.498Z","updated_at":"2021-09-30T09:28:00.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6431,"fairsharing_record_id":919,"organisation_id":1691,"relation":"funds","created_at":"2021-09-30T09:28:00.574Z","updated_at":"2021-09-30T09:28:00.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6433,"fairsharing_record_id":919,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:00.657Z","updated_at":"2021-09-30T09:29:42.169Z","grant_id":365,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG004838","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6430,"fairsharing_record_id":919,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:00.537Z","updated_at":"2021-09-30T09:30:29.622Z","grant_id":734,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"283359","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"920","type":"fairsharing_records","attributes":{"created_at":"2016-10-17T21:06:17.000Z","updated_at":"2022-12-23T14:21:11.461Z","metadata":{"doi":"10.25504/FAIRsharing.kx2md1","name":"Ontology of Immune Epitopes","status":"ready","contacts":[{"contact_name":"Bjoern Peters","contact_email":"bpeters@liai.org"}],"homepage":"http://ontology.iedb.org","citations":[],"identifier":920,"description":"The Ontology of Immune Epitopes (ONTIE) is an effort to represent terms in the immunology domain in a formal ontology with the specific goal of representing experiments that identify and characterize immune epitopes. ONTIE has been developed as a subset of OBI (Ontology of Biomedical Investigations) and includes terms relating to experiments involving immune epitopes. This file contains the minimal amount of upper ontology terms and axioms from BFO (Basic Formal Ontology), IAO (Information Artifact Ontology) and OBI, in order to view and reason upon ONTIE. It is currently at version 0.1 beta. ONTIE covers terms regarding immune responses, adaptive immune receptors, immune epitope assays, MHC molecules, and infectious diseases. ONTIE is (at this development stage) a virtual ontology, drawing together terms from multiple reference ontologies. We are actively working on adding more terms to ONTIE either through term requests or through active contribution to external ontologies.","abbreviation":"ONTIE","support_links":[{"url":"https://ontology.iedb.org/documentation","name":"Documentation","type":"Help documentation"},{"url":"https://ontology.iedb.org/resources","name":"Resources","type":"Other"}]},"legacy_ids":["bsg-000680","bsg-s000680"],"name":"FAIRsharing record for: Ontology of Immune Epitopes","abbreviation":"ONTIE","url":"https://fairsharing.org/10.25504/FAIRsharing.kx2md1","doi":"10.25504/FAIRsharing.kx2md1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Immune Epitopes (ONTIE) is an effort to represent terms in the immunology domain in a formal ontology with the specific goal of representing experiments that identify and characterize immune epitopes. ONTIE has been developed as a subset of OBI (Ontology of Biomedical Investigations) and includes terms relating to experiments involving immune epitopes. This file contains the minimal amount of upper ontology terms and axioms from BFO (Basic Formal Ontology), IAO (Information Artifact Ontology) and OBI, in order to view and reason upon ONTIE. It is currently at version 0.1 beta. ONTIE covers terms regarding immune responses, adaptive immune receptors, immune epitope assays, MHC molecules, and infectious diseases. ONTIE is (at this development stage) a virtual ontology, drawing together terms from multiple reference ontologies. We are actively working on adding more terms to ONTIE either through term requests or through active contribution to external ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunology","Life Science"],"domains":["Infection","Major histocompatibility complex"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6434,"fairsharing_record_id":920,"organisation_id":1681,"relation":"maintains","created_at":"2021-09-30T09:28:00.695Z","updated_at":"2021-09-30T09:28:00.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":1681,"name":"La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"921","type":"fairsharing_records","attributes":{"created_at":"2020-04-08T18:39:49.000Z","updated_at":"2023-03-23T13:17:59.090Z","metadata":{"doi":"10.25504/FAIRsharing.EHVpsH","name":"Minimum information for publication of infrared-related data when microplastics are characterized","status":"ready","contacts":[{"contact_name":"Jose M. Andrade","contact_email":"andrade@udc.es","contact_orcid":"0000-0003-1020-5213"}],"homepage":"https://www.sciencedirect.com/science/article/abs/pii/S0025326X20301533?via%3Dihub","citations":[{"doi":"S0025-326X(20)30153-3","publication_id":2852}],"identifier":921,"description":"Reporting guidelines specific to microplastic research parameters involved in infrared spectroscopy.","abbreviation":null,"year_creation":2020},"legacy_ids":["bsg-001462","bsg-s001462"],"name":"FAIRsharing record for: Minimum information for publication of infrared-related data when microplastics are characterized","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.EHVpsH","doi":"10.25504/FAIRsharing.EHVpsH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reporting guidelines specific to microplastic research parameters involved in infrared spectroscopy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Chemistry","Ecology"],"domains":["Environmental contaminant","Infared spectroscopy"],"taxonomies":["Not applicable"],"user_defined_tags":["microplastic","plastic pollution"],"countries":[],"publications":[{"id":2852,"pubmed_id":null,"title":"Standardization of the minimum information for publication of infrared-related data when microplastics are characterized.","year":2020,"url":"https://www.sciencedirect.com/science/article/abs/pii/S0025326X20301533?via%3Dihub","authors":"Andrade JM,Ferreiro B,Lopez-Mahia P,Muniategui-Lorenzo S","journal":"Mar Pollut Bull","doi":"S0025-326X(20)30153-3","created_at":"2021-09-30T08:27:50.857Z","updated_at":"2021-09-30T08:27:50.857Z"}],"licence_links":[],"grants":[{"id":6438,"fairsharing_record_id":921,"organisation_id":1611,"relation":"funds","created_at":"2021-09-30T09:28:00.887Z","updated_at":"2021-09-30T09:32:37.088Z","grant_id":1702,"is_lead":false,"saved_state":{"id":1611,"name":"JPI-Oceans","grant":"PCIN-2015-170-C02-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6436,"fairsharing_record_id":921,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:28:00.807Z","updated_at":"2021-09-30T09:28:00.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6437,"fairsharing_record_id":921,"organisation_id":3005,"relation":"funds","created_at":"2021-09-30T09:28:00.849Z","updated_at":"2021-09-30T09:28:00.849Z","grant_id":null,"is_lead":false,"saved_state":{"id":3005,"name":"University of A Coruna","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6435,"fairsharing_record_id":921,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:28:00.728Z","updated_at":"2021-09-30T09:32:31.863Z","grant_id":1662,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"CTM2016-77945-C3-3-R","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"922","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:09:31.567Z","metadata":{"doi":"10.25504/FAIRsharing.cq8tg2","name":"Open Microscopy Environment - Tagged Image File Format","status":"ready","contacts":[{"contact_name":"Jason Swedlow","contact_email":"j.r.swedlow@dundee.ac.uk","contact_orcid":"0000-0002-2198-1958"}],"homepage":"http://www.openmicroscopy.org/site/support/ome-model/ome-tiff/","citations":[],"identifier":922,"description":"OME-TIFF is a standardized file format for multidimensional image data. OME-TIFF was created to maximize the respective strengths of OME-XML and TIFF. It takes advantage of the metadata defined in OME-XML while retaining the pixels in multi-page TIFF format for compatibility with many more applications.","abbreviation":"OME-TIFF","support_links":[{"url":"http://www.openmicroscopy.org/site/community/mailing-lists","name":"OME-TIFF Mailing List","type":"Mailing list"},{"url":"http://www.openmicroscopy.org/site/support/ome-model/#ome-tiff","name":"Further Documentation","type":"Help documentation"}],"year_creation":2007,"associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}]},"legacy_ids":["bsg-000537","bsg-s000537"],"name":"FAIRsharing record for: Open Microscopy Environment - Tagged Image File Format","abbreviation":"OME-TIFF","url":"https://fairsharing.org/10.25504/FAIRsharing.cq8tg2","doi":"10.25504/FAIRsharing.cq8tg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OME-TIFF is a standardized file format for multidimensional image data. OME-TIFF was created to maximize the respective strengths of OME-XML and TIFF. It takes advantage of the metadata defined in OME-XML while retaining the pixels in multi-page TIFF format for compatibility with many more applications.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18246},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10885},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11014},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14566}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Microbiology","Biology"],"domains":["Resource metadata","Experimental measurement","Bioimaging","Microscopy","Imaging","Image","Study design","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["France","Italy","United Kingdom","United States"],"publications":[{"id":515,"pubmed_id":15892875,"title":"The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r47","authors":"Goldberg IG,Allan C,Burel JM,Creager D,Falconi A,Hochheiser H,Johnston J,Mellen J,Sorger PK,Swedlow JR","journal":"Genome Biol","doi":"10.1186/gb-2005-6-5-r47","created_at":"2021-09-30T08:23:16.210Z","updated_at":"2021-09-30T08:23:16.210Z"},{"id":569,"pubmed_id":20513764,"title":"Metadata matters: access to image data in the real world","year":2010,"url":"http://doi.org/10.1083/jcb.201004104","authors":"Melissa Linkert, Curtis T. Rueden, Chris Allan et al.","journal":"The Journal of Cell Biology","doi":"10.1083/jcb.201004104","created_at":"2021-09-30T08:23:22.218Z","updated_at":"2021-09-30T08:23:22.218Z"},{"id":3247,"pubmed_id":null,"title":"Bringing Open Data to Whole Slide Imaging","year":2019,"url":"http://dx.doi.org/10.1007/978-3-030-23937-4_1","authors":"Besson, Sébastien; Leigh, Roger; Linkert, Melissa; Allan, Chris; Burel, Jean-Marie; Carroll, Mark; Gault, David; Gozim, Riad; Li, Simon; Lindner, Dominik; Moore, Josh; Moore, Will; Walczysko, Petr; Wong, Frances; Swedlow, Jason R.; ","journal":"Digital Pathology","doi":"10.1007/978-3-030-23937-4_1","created_at":"2022-03-03T13:45:32.014Z","updated_at":"2022-03-03T13:45:32.014Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1580,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1587,"relation":"undefined"}],"grants":[{"id":6440,"fairsharing_record_id":922,"organisation_id":2261,"relation":"maintains","created_at":"2021-09-30T09:28:00.962Z","updated_at":"2021-09-30T09:28:00.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6441,"fairsharing_record_id":922,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:00.999Z","updated_at":"2021-09-30T09:30:51.754Z","grant_id":907,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024233/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6439,"fairsharing_record_id":922,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:00.924Z","updated_at":"2021-09-30T09:31:25.214Z","grant_id":1161,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"095931/Z/11/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8142,"fairsharing_record_id":922,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:10.551Z","updated_at":"2021-09-30T09:31:10.832Z","grant_id":1051,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022585/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"923","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:25.815Z","metadata":{"doi":"10.25504/FAIRsharing.w9jvbt","name":"TErminology for the Description of DYnamics","status":"ready","contacts":[{"contact_name":"Melanie Courtot","contact_email":"courtot@ebi.ac.uk"}],"homepage":"http://co.mbine.org/standards/teddy","identifier":923,"description":"The TErminology for the Description of DYnamics (TEDDY) project aims to provide an ontology for dynamical behaviours, observable dynamical phenomena, and control elements of bio-models and biological systems in Systems Biology and Synthetic Biology.","abbreviation":"TEDDY","support_links":[{"url":"https://sourceforge.net/mailarchive/forum.php?forum_name=teddyontology-discuss","name":"Discussion List","type":"Mailing list"},{"url":"https://en.wikipedia.org/wiki/Terminology_for_the_Description_of_Dynamics","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TEDDY","name":"TEDDY","portal":"BioPortal"}]},"legacy_ids":["bsg-000147","bsg-s000147"],"name":"FAIRsharing record for: TErminology for the Description of DYnamics","abbreviation":"TEDDY","url":"https://fairsharing.org/10.25504/FAIRsharing.w9jvbt","doi":"10.25504/FAIRsharing.w9jvbt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TErminology for the Description of DYnamics (TEDDY) project aims to provide an ontology for dynamical behaviours, observable dynamical phenomena, and control elements of bio-models and biological systems in Systems Biology and Synthetic Biology.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11183},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12094},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12229},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16991}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurophysiology","Synthetic Biology","Systems Biology"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Germany","New Zealand","Switzerland","United Kingdom","United States"],"publications":[{"id":22,"pubmed_id":22027554,"title":"Controlled vocabularies and semantics in systems biology.","year":2011,"url":"http://doi.org/10.1038/msb.2011.77","authors":"Courtot M,Juty N,Knupfer C et al.","journal":"Mol Syst Biol","doi":"10.1038/msb.2011.77","created_at":"2021-09-30T08:22:22.740Z","updated_at":"2021-09-30T08:22:22.740Z"}],"licence_links":[],"grants":[{"id":6444,"fairsharing_record_id":923,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:01.093Z","updated_at":"2021-09-30T09:28:01.093Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6442,"fairsharing_record_id":923,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:01.036Z","updated_at":"2021-09-30T09:28:01.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"924","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T11:20:40.000Z","updated_at":"2022-07-20T12:23:00.273Z","metadata":{"doi":"10.25504/FAIRsharing.595710","name":"Agriculture and Forestry Ontology","status":"ready","contacts":[{"contact_name":"Eero Hyvönen","contact_email":"Eero.Hyvonen@tkk.fI"}],"homepage":"https://seco.cs.aalto.fi/ontologies/afo/","identifier":924,"description":"The Agriculture and Forestry Ontology (AFO), also known as the Agriforest Ontology, combines the concepts of the Agriforest Thesaurus with The Finnish General Upper Ontology (YSO). This combination of ontologies can be used for describing resources especially in domain of agriculture, forestry, veterinary medicine, food science, environmental science and biology.","abbreviation":"AFO","year_creation":2017},"legacy_ids":["bsg-001442","bsg-s001442"],"name":"FAIRsharing record for: Agriculture and Forestry Ontology","abbreviation":"AFO","url":"https://fairsharing.org/10.25504/FAIRsharing.595710","doi":"10.25504/FAIRsharing.595710","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agriculture and Forestry Ontology (AFO), also known as the Agriforest Ontology, combines the concepts of the Agriforest Thesaurus with The Finnish General Upper Ontology (YSO). This combination of ontologies can be used for describing resources especially in domain of agriculture, forestry, veterinary medicine, food science, environmental science and biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Forest Management","Agricultural Engineering","Agriculture","Veterinary Medicine","Food Chemistry","Biology"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Finland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1743,"relation":"undefined"}],"grants":[{"id":6445,"fairsharing_record_id":924,"organisation_id":3064,"relation":"maintains","created_at":"2021-09-30T09:28:01.118Z","updated_at":"2021-09-30T09:28:01.118Z","grant_id":null,"is_lead":true,"saved_state":{"id":3064,"name":"University of Helsinki, Finland","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"929","type":"fairsharing_records","attributes":{"created_at":"2015-08-13T13:54:11.000Z","updated_at":"2024-03-21T13:57:57.199Z","metadata":{"doi":"10.25504/FAIRsharing.5g1fma","name":"MIAPE: Mass Spectrometry","status":"ready","contacts":[{"contact_name":"Pierre-Alain Binz","contact_email":"Pierre-Alain.Binz@isb-sib.ch"}],"homepage":"http://www.psidev.info/groups/miape","citations":[],"identifier":929,"description":"This module identifies the minimum information required to report the use of a mass spectrometer in a proteomics experiment, sufficient to support both the effective (re-)interpretation and (re-) assessment of the data and the potential reproduction of the work that generated it.","abbreviation":"MIAPE-MS","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","name":"Mass Spectrometry Mailing List","type":"Mailing list"}],"year_creation":2007},"legacy_ids":["bsg-000607","bsg-s000607"],"name":"FAIRsharing record for: MIAPE: Mass Spectrometry","abbreviation":"MIAPE-MS","url":"https://fairsharing.org/10.25504/FAIRsharing.5g1fma","doi":"10.25504/FAIRsharing.5g1fma","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module identifies the minimum information required to report the use of a mass spectrometer in a proteomics experiment, sufficient to support both the effective (re-)interpretation and (re-) assessment of the data and the potential reproduction of the work that generated it.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11445},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12063},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19738}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Germany","Sweden","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":803,"pubmed_id":18688232,"title":"Guidelines for reporting the use of mass spectrometry in proteomics.","year":2008,"url":"http://doi.org/10.1038/nbt0808-860","authors":"Taylor CF,Binz PA,Aebersold R,Affolter M,Barkovich R,Deutsch EW,Horn DM,Huhmer A,Kussmann M,Lilley K,Macht M,Mann M,Muller D,Neubert TA,Nickson J,Patterson SD,Raso R,Resing K,Seymour SL,Tsugita A,Xenarios I,Zeng R,Julian RK Jr","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-860","created_at":"2021-09-30T08:23:48.570Z","updated_at":"2021-09-30T08:23:48.570Z"}],"licence_links":[],"grants":[{"id":6453,"fairsharing_record_id":929,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:01.458Z","updated_at":"2021-09-30T09:28:01.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6455,"fairsharing_record_id":929,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:01.541Z","updated_at":"2021-09-30T09:28:01.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6456,"fairsharing_record_id":929,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:01.579Z","updated_at":"2021-09-30T09:28:01.579Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11520,"fairsharing_record_id":929,"organisation_id":3609,"relation":"funds","created_at":"2024-03-21T13:57:57.027Z","updated_at":"2024-03-21T13:57:57.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":3609,"name":"Human Proteome Organization","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2dEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4bae8cd8577204f529e7291065b3a57d93afc0ff/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"930","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:42.944Z","metadata":{"doi":"10.25504/FAIRsharing.23th83","name":"GeoSpecies Ontology","status":"ready","contacts":[{"contact_name":"Peter J. DeVries","contact_email":"pdevries@wisc.edu","contact_orcid":"0000-0003-4637-5281"}],"homepage":"http://bioportal.bioontology.org/ontologies/1247","identifier":930,"description":"This ontology was designed to help integrate species concepts with species occurrences, gene sequences, images, references and geographical information.","abbreviation":"GeoSpecies","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GEOSPECIES","name":"GEOSPECIES","portal":"BioPortal"}]},"legacy_ids":["bsg-002576","bsg-s002576"],"name":"FAIRsharing record for: GeoSpecies Ontology","abbreviation":"GeoSpecies","url":"https://fairsharing.org/10.25504/FAIRsharing.23th83","doi":"10.25504/FAIRsharing.23th83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology was designed to help integrate species concepts with species occurrences, gene sequences, images, references and geographical information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Citation","Taxonomic classification","Geographical location","Image","Sequence","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6457,"fairsharing_record_id":930,"organisation_id":1131,"relation":"maintains","created_at":"2021-09-30T09:28:01.612Z","updated_at":"2021-09-30T09:28:01.612Z","grant_id":null,"is_lead":false,"saved_state":{"id":1131,"name":"GeoSpecies Knowledge Base Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"914","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.137Z","metadata":{"doi":"10.25504/FAIRsharing.3dm6gm","name":"Edinburgh Human Developmental Anatomy","status":"deprecated","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://obofoundry.org/ontology/ehda.html","identifier":914,"description":"A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). The timed version of the human developmental anatomy ontology gives all the tissues present at each Carnegie Stage (CS) of human development (1-20) linked by a part-of rule. Each term is mentioned only once so that the embryo at each stage can be seen as the simple sum of its parts. Users should note that tissues that are symmetric (e.g. eyes, ears, limbs) are only mentioned once. The EHDA; Hunter et al. 2003 is less complete than later versions: it comprises a set of ontologies, one for each Carnegie stage (CS) (1–20) that only includes basic part_of data. Its structure was derived from the original EMAP ontology, and its content was based partly on this and partly on a limited study of sectioned human material.","abbreviation":"EHDA","support_links":[{"url":"http://obofoundry.org/ontology/ehda.html","type":"Help documentation"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EHDA","name":"EHDA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ehda.html","name":"ehda","portal":"OBO Foundry"}],"deprecation_date":"2016-04-20","deprecation_reason":"This resource is deprecated. Please see the record for the next version of the ontology (https://biosharing.org/bsg-002675) instead."},"legacy_ids":["bsg-000032","bsg-s000032"],"name":"FAIRsharing record for: Edinburgh Human Developmental Anatomy","abbreviation":"EHDA","url":"https://fairsharing.org/10.25504/FAIRsharing.3dm6gm","doi":"10.25504/FAIRsharing.3dm6gm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). The timed version of the human developmental anatomy ontology gives all the tissues present at each Carnegie Stage (CS) of human development (1-20) linked by a part-of rule. Each term is mentioned only once so that the embryo at each stage can be seen as the simple sum of its parts. Users should note that tissues that are symmetric (e.g. eyes, ears, limbs) are only mentioned once. The EHDA; Hunter et al. 2003 is less complete than later versions: it comprises a set of ontologies, one for each Carnegie stage (CS) (1–20) that only includes basic part_of data. Its structure was derived from the original EMAP ontology, and its content was based partly on this and partly on a limited study of sectioned human material.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science","Biomedical Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1007,"pubmed_id":14620375,"title":"An ontology of human developmental anatomy.","year":2003,"url":"http://doi.org/10.1046/j.1469-7580.2003.00224.x","authors":"Hunter A,Kaufman MH,McKay A,Baldock R,Simmen MW,Bard JB","journal":"J Anat","doi":"10.1046/j.1469-7580.2003.00224.x","created_at":"2021-09-30T08:24:11.455Z","updated_at":"2021-09-30T08:24:11.455Z"}],"licence_links":[],"grants":[{"id":6425,"fairsharing_record_id":914,"organisation_id":3052,"relation":"maintains","created_at":"2021-09-30T09:28:00.323Z","updated_at":"2021-09-30T09:28:00.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":3052,"name":"University of Edinburgh, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6426,"fairsharing_record_id":914,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:28:00.363Z","updated_at":"2021-09-30T09:28:00.363Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"915","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-03-13T09:21:32.230Z","metadata":{"doi":"10.25504/FAIRsharing.g593w1","name":"EDAM Bioimaging Ontology","status":"ready","contacts":[{"contact_name":"Jon Ison","contact_email":"jison@cbs.dtu.dk"}],"homepage":"http://bioportal.bioontology.org/ontologies/EDAM-BIOIMAGING","citations":[],"identifier":915,"description":"Bioimaging operations, data types, formats, identifiers and topics. EDAM-Bioimaging is an extension to the EDAM ontology (edamontology.org) for bioimaging, developed in collaboration with partners from NEUBIAS (neubias.org).","abbreviation":"EDAM-BIOIMAGING","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDAM-BIOIMAGING","name":"EDAM-BIOIMAGING","portal":"BioPortal"}]},"legacy_ids":["bsg-001013","bsg-s001013"],"name":"FAIRsharing record for: EDAM Bioimaging Ontology","abbreviation":"EDAM-BIOIMAGING","url":"https://fairsharing.org/10.25504/FAIRsharing.g593w1","doi":"10.25504/FAIRsharing.g593w1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bioimaging operations, data types, formats, identifiers and topics. EDAM-Bioimaging is an extension to the EDAM ontology (edamontology.org) for bioimaging, developed in collaboration with partners from NEUBIAS (neubias.org).","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16103},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16989}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics"],"domains":["Bioimaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"916","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2023-03-13T09:25:30.918Z","metadata":{"doi":"10.25504/FAIRsharing.twp7vn","name":"Bionutrition Ontology","status":"ready","contacts":[{"contact_name":"Cameron Coffran, Diane Meehan, Andrea Ronning","contact_email":"cameron@rockefeller.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/BNO","citations":[],"identifier":916,"description":"The Bionutrition Ontology relates concepts and terminologies used for human nutrition in a clinical and biomedical setting.","abbreviation":"BNO","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BNO","name":"BNO","portal":"BioPortal"}]},"legacy_ids":["bsg-001020","bsg-s001020"],"name":"FAIRsharing record for: Bionutrition Ontology","abbreviation":"BNO","url":"https://fairsharing.org/10.25504/FAIRsharing.twp7vn","doi":"10.25504/FAIRsharing.twp7vn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bionutrition Ontology relates concepts and terminologies used for human nutrition in a clinical and biomedical setting.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17365}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Nutritional Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"917","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:04.399Z","metadata":{"doi":"10.25504/FAIRsharing.77e3my","name":"Molecular Interaction eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"HUPO PSI","contact_email":"psi-mi@ebi.ac.uk"}],"homepage":"http://www.psidev.info/groups/molecular-interactions","identifier":917,"description":"The PSI-MI interchange format and accompanying controlled vocabularies was originally designed by a consortium of molecular interaction data providers from both academia and industry, including BIND, DIP, IntAct, MINT, MIPS, GlaxoSmithKline, CellZome, Hybrigenics, Universities of Bielefeld, Bordeaux, Cambridge, and others. It is maintained, and kept fit for purpose by the Molecular Interaction workgroup of the HUPO PSI. It can be used for storing any kind of molecular interaction data including complexes and binary interactions such as protein-protein interactions and nucleic acid interactions.","abbreviation":"PSI-MI XML","support_links":[{"url":"psi-mi@ebi.ac.uk","name":"PSI-MI Mailing List","type":"Mailing list"},{"url":"https://github.com/MICommunity/psimi/blob/wiki/PsimiXMLSpecifications.md","name":"GitHub Documentation for PSI-MI 2.5","type":"Github"},{"url":"https://rawgit.com/HUPO-PSI/miXML/master/3.0/doc/MIF300.html","name":"PSI-MI XML 3.0 Schema Documentation","type":"Help documentation"},{"url":"https://rawgit.com/HUPO-PSI/miXML/master/2.5/doc/MIF254.html","name":"PSI-MI XML 2.5 Schema Documentation","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000121","bsg-s000121"],"name":"FAIRsharing record for: Molecular Interaction eXtensible Markup Language","abbreviation":"PSI-MI XML","url":"https://fairsharing.org/10.25504/FAIRsharing.77e3my","doi":"10.25504/FAIRsharing.77e3my","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PSI-MI interchange format and accompanying controlled vocabularies was originally designed by a consortium of molecular interaction data providers from both academia and industry, including BIND, DIP, IntAct, MINT, MIPS, GlaxoSmithKline, CellZome, Hybrigenics, Universities of Bielefeld, Bordeaux, Cambridge, and others. It is maintained, and kept fit for purpose by the Molecular Interaction workgroup of the HUPO PSI. It can be used for storing any kind of molecular interaction data including complexes and binary interactions such as protein-protein interactions and nucleic acid interactions.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11209},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11433},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11981}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":868,"pubmed_id":17925023,"title":"Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.","year":2007,"url":"http://doi.org/10.1186/1741-7007-5-44","authors":"Kerrien S., Orchard S., Montecchi-Palazzi L. et al.","journal":"BMC Biol.","doi":"10.1186/1741-7007-5-44","created_at":"2021-09-30T08:23:55.889Z","updated_at":"2021-09-30T08:23:55.889Z"},{"id":2322,"pubmed_id":14755292,"title":"The HUPO PSI's molecular interaction format--a community standard for the representation of protein interaction data.","year":2004,"url":"http://doi.org/10.1038/nbt926","authors":"Hermjakob H,Montecchi-Palazzi L,Bader G,Wojcik J,Salwinski L,Ceol A,Moore S,Orchard S,Sarkans U,von Mering C,Roechert B,Poux S,Jung E,Mersch H,Kersey P,Lappe M,Li Y,Zeng R,Rana D,Nikolski M,Husi H,Brun C,Shanker K,Grant SG,Sander C,Bork P,Zhu W,Pandey A,Brazma A,Jacq B,Vidal M,Sherman D,Legrain P,Cesareni G,Xenarios I,Eisenberg D,Steipe B,Hogue C,Apweiler R","journal":"Nat Biotechnol","doi":"10.1038/nbt926","created_at":"2021-09-30T08:26:45.002Z","updated_at":"2021-09-30T08:26:45.002Z"},{"id":2346,"pubmed_id":29642841,"title":"Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions.","year":2018,"url":"http://doi.org/10.1186/s12859-018-2118-1","authors":"Sivade Dumousseau M,Alonso-Lopez D,Ammari M,Bradley G,Campbell NH,Ceol A,Cesareni G,Combe C,De Las Rivas J,Del-Toro N,Heimbach J,Hermjakob H,Jurisica I,Koch M,Licata L,Lovering RC,Lynn DJ,Meldal BHM,Micklem G,Panni S,Porras P,Ricard-Blum S,Roechert B,Salwinski L,Shrivastava A,Sullivan J,Thierry-Mieg N,Yehudi Y,Van Roey K,Orchard S","journal":"BMC Bioinformatics","doi":"10.1186/s12859-018-2118-1","created_at":"2021-09-30T08:26:48.268Z","updated_at":"2021-09-30T08:26:48.268Z"}],"licence_links":[],"grants":[{"id":6427,"fairsharing_record_id":917,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:00.394Z","updated_at":"2021-09-30T09:28:00.394Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"918","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-29T17:04:18.290Z","metadata":{"doi":"10.25504/FAIRsharing.1esk4f","name":"Artificial Intelligence Rheumatology Consultant System Ontology","status":"ready","contacts":[{"contact_name":"NLM Customer Service","contact_email":"custserv@nlm.nih.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/1430","citations":[],"identifier":918,"description":"AI/RHEUM is used for the diagnosis of rheumatologic diseases. AI/RHEUM contains findings, such as clinical signs, symptoms, laboratory test results, radiologic observations, tissue biopsy results, and intermediate diagnosis hypotheses. Findings and hypotheses, which include definitions, are used to reach diagnostic conclusions with definite, probable, or possible certainty. AI/RHEUM is used by clinicians and informatics researchers.","abbreviation":"AI/RHEUM","support_links":[],"year_creation":1983,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AI-RHEUM","name":"AI-RHEUM","portal":"BioPortal"}]},"legacy_ids":["bsg-002655","bsg-s002655"],"name":"FAIRsharing record for: Artificial Intelligence Rheumatology Consultant System Ontology","abbreviation":"AI/RHEUM","url":"https://fairsharing.org/10.25504/FAIRsharing.1esk4f","doi":"10.25504/FAIRsharing.1esk4f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AI/RHEUM is used for the diagnosis of rheumatologic diseases. AI/RHEUM contains findings, such as clinical signs, symptoms, laboratory test results, radiologic observations, tissue biopsy results, and intermediate diagnosis hypotheses. Findings and hypotheses, which include definitions, are used to reach diagnostic conclusions with definite, probable, or possible certainty. AI/RHEUM is used by clinicians and informatics researchers.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12519}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Radiology","Biomedical Science","Preclinical Studies"],"domains":["Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1730,"pubmed_id":3537610,"title":"Anatomy of a knowledge-based consultant system: AI/RHEUM.","year":1986,"url":"https://www.ncbi.nlm.nih.gov/pubmed/3537610","authors":"Kingsland LC 3rd,Lindberg DA,Sharp GC","journal":"MD Comput","doi":null,"created_at":"2021-09-30T08:25:33.879Z","updated_at":"2021-09-30T08:25:33.879Z"},{"id":1731,"pubmed_id":3320252,"title":"AI/LEARN network. The use of computer-generated graphics to augment the educational utility of a knowledge-based diagnostic system (AI/RHEUM).","year":1987,"url":"http://doi.org/10.1007/BF00996349","authors":"Lee AS,Cutts JH 3rd,Sharp GC,Mitchell JA","journal":"J Med Syst","doi":"10.1007/BF00996349","created_at":"2021-09-30T08:25:33.988Z","updated_at":"2021-09-30T08:25:33.988Z"},{"id":1736,"pubmed_id":6352842,"title":"AI/RHEUM. A consultant system for rheumatology.","year":1983,"url":"http://doi.org/10.1007/BF00993283","authors":"Kingsland LC 3rd,Lindberg DA,Sharp GC","journal":"J Med Syst","doi":"10.1007/BF00993283","created_at":"2021-09-30T08:25:34.779Z","updated_at":"2021-09-30T08:25:34.779Z"},{"id":1997,"pubmed_id":3330560,"title":"AI/LEARN: an interactive videodisk system for teaching medical concepts and reasoning.","year":1987,"url":"http://doi.org/10.1007/BF00993009","authors":"Mitchell JA,Lee AS,TenBrink T,Cutts JH 3rd,Clark DP,Hazelwood S,Jackson R,Bickel J,Gaunt W,Ladenson RP,et al.","journal":"J Med Syst","doi":"10.1007/BF00993009","created_at":"2021-09-30T08:26:04.781Z","updated_at":"2021-09-30T08:26:04.781Z"},{"id":2001,"pubmed_id":3279963,"title":"The AI/RHEUM knowledge-based computer consultant system in rheumatology. Performance in the diagnosis of 59 connective tissue disease patients from Japan.","year":1988,"url":"http://doi.org/10.1002/art.1780310210","authors":"Porter JF,Kingsland LC 3rd,Lindberg DA,Shah I,Benge JM,Hazelwood SE,Kay DR,Homma M,Akizuki M,Takano M,et al.","journal":"Arthritis Rheum","doi":"10.1002/art.1780310210","created_at":"2021-09-30T08:26:05.340Z","updated_at":"2021-09-30T08:26:05.340Z"},{"id":2084,"pubmed_id":1406331,"title":"Validation of the AI/RHEUM knowledge base with data from consecutive rheumatological outpatients.","year":1992,"url":"https://www.ncbi.nlm.nih.gov/pubmed/1406331","authors":"Bernelot Moens HJ","journal":"Methods Inf Med","doi":null,"created_at":"2021-09-30T08:26:14.957Z","updated_at":"2021-09-30T08:26:14.957Z"}],"licence_links":[{"licence_name":"UMLS - Metathesaurus License Agreement","licence_id":975,"licence_url":"https://www.nlm.nih.gov/research/umls/knowledge_sources/metathesaurus/release/license_agreement.html","link_id":2819,"relation":"applies_to_content"}],"grants":[{"id":9832,"fairsharing_record_id":918,"organisation_id":2045,"relation":"undefined","created_at":"2022-08-29T17:03:51.239Z","updated_at":"2022-08-29T17:03:51.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"905","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-10-26T14:03:44.713Z","metadata":{"doi":"10.25504/FAIRsharing.9vtwjs","name":"Dublin Core Metadata Initiative Terms","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"contact@dublincore.net"}],"homepage":"https://www.dublincore.org/specifications/dublin-core/dcmi-terms/","citations":[],"identifier":905,"description":"This document is an up-to-date, authoritative specification of all metadata terms maintained by the Dublin Core Metadata Initiative, including properties, vocabulary encoding schemes, syntax encoding schemes, and classes. Included are the fifteen terms of the Dublin Core Metadata Element Set, which have also been published as a separate specification.","abbreviation":"DCMI Metadata Terms","support_links":[{"url":"https://en.wikipedia.org/wiki/Dublin_Core#Dublin_Core_Metadata_Element_Set","name":"Wikipedia page","type":"Wikipedia"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DCTERMS","name":"DCTERMS","portal":"BioPortal"}]},"legacy_ids":["bsg-000978","bsg-s000978"],"name":"FAIRsharing record for: Dublin Core Metadata Initiative Terms","abbreviation":"DCMI Metadata Terms","url":"https://fairsharing.org/10.25504/FAIRsharing.9vtwjs","doi":"10.25504/FAIRsharing.9vtwjs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document is an up-to-date, authoritative specification of all metadata terms maintained by the Dublin Core Metadata Initiative, including properties, vocabulary encoding schemes, syntax encoding schemes, and classes. Included are the fifteen terms of the Dublin Core Metadata Element Set, which have also been published as a separate specification.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17355},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12944},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13325},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13340},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13358},{"linking_record_name":"Mapping CDC to OpenAIRE, B2find, schema.org and Dublin Core","linking_record_id":3646,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13369}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1249,"relation":"undefined"}],"grants":[{"id":6405,"fairsharing_record_id":905,"organisation_id":3142,"relation":"maintains","created_at":"2021-09-30T09:27:59.569Z","updated_at":"2021-09-30T09:27:59.569Z","grant_id":null,"is_lead":false,"saved_state":{"id":3142,"name":"University of Tsukuba","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6404,"fairsharing_record_id":905,"organisation_id":122,"relation":"funds","created_at":"2021-09-30T09:27:59.532Z","updated_at":"2021-09-30T09:27:59.532Z","grant_id":null,"is_lead":false,"saved_state":{"id":122,"name":"Association for Information Science and Technology (ASIS\u0026T)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6406,"fairsharing_record_id":905,"organisation_id":657,"relation":"maintains","created_at":"2021-09-30T09:27:59.601Z","updated_at":"2021-09-30T09:27:59.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":657,"name":"DCMI Usage Board","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"932","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:59:29.539Z","metadata":{"doi":"10.25504/FAIRsharing.fmz635","name":"Gramene Taxonomy Ontology","status":"ready","contacts":[{"contact_name":"Gramene Helpdesk","contact_email":"gramene@gramene.org"}],"homepage":"http://archive.gramene.org/db/ontology/search_term?id=GR_tax:017502","identifier":932,"description":"Gramene Taxonomy Ontology (GR-TAX) is a representation of the taxonomy tree in the ontology format. Each term in this ontology can represent subspecies, species, genus, order, class or any rank in the classification. Primarily derived from NCBI Taxonomy, the revisions were made as and when/where required in the rankings. The rank of genome types was added by this project. This taxonomy ontology focuses on the Poaceae (Gramineae) family of plant taxonomy only.","abbreviation":"GR-TAX","year_creation":2013},"legacy_ids":["bsg-001113","bsg-s001113"],"name":"FAIRsharing record for: Gramene Taxonomy Ontology","abbreviation":"GR-TAX","url":"https://fairsharing.org/10.25504/FAIRsharing.fmz635","doi":"10.25504/FAIRsharing.fmz635","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gramene Taxonomy Ontology (GR-TAX) is a representation of the taxonomy tree in the ontology format. Each term in this ontology can represent subspecies, species, genus, order, class or any rank in the classification. Primarily derived from NCBI Taxonomy, the revisions were made as and when/where required in the rankings. The rank of genome types was added by this project. This taxonomy ontology focuses on the Poaceae (Gramineae) family of plant taxonomy only.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Taxonomic classification"],"taxonomies":["Gramineae","Poaceae"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6464,"fairsharing_record_id":932,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:28:01.876Z","updated_at":"2021-09-30T09:28:01.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6463,"fairsharing_record_id":932,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:28:01.852Z","updated_at":"2021-09-30T09:28:01.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6465,"fairsharing_record_id":932,"organisation_id":548,"relation":"maintains","created_at":"2021-09-30T09:28:01.901Z","updated_at":"2021-09-30T09:28:01.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":548,"name":"Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"933","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:26.925Z","metadata":{"doi":"10.25504/FAIRsharing.hgnk8v","name":"Sample Tabular Format","status":"deprecated","contacts":[{"contact_name":"BioSamples Helpdesk","contact_email":"biosamples@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biosamples/docs/references/sampletab","identifier":933,"description":"The BioSamples Database uses the SampleTab file format for submissions. This is a tab-delimited file that can be created in many spreadsheet editing software packages (e.g. Microsoft Excel). Although SampleTab files can have some advanced features, they can be written by users from a wide range of backgrounds using tools they are already familiar with. The SampleTab format has a number of advanced features for power users, such as ontology mappings, anonymous groups, and UTF-8 character encoding. Although this format is still accepted, the administrators of the BioSamples Database recommend that all submissions to BioSamples be made in JSON via our JSON API.","abbreviation":"SampleTab","support_links":[{"url":"http://listserver.ebi.ac.uk/mailman/listinfo/biosamples-announce","name":"BioSamples Announce","type":"Mailing list"}],"year_creation":2010,"deprecation_date":"2020-03-09","deprecation_reason":"The BioSamples team have deprecated the SampleTab data model and are replacing it with their JSON schema."},"legacy_ids":["bsg-000262","bsg-s000262"],"name":"FAIRsharing record for: Sample Tabular Format","abbreviation":"SampleTab","url":"https://fairsharing.org/10.25504/FAIRsharing.hgnk8v","doi":"10.25504/FAIRsharing.hgnk8v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioSamples Database uses the SampleTab file format for submissions. This is a tab-delimited file that can be created in many spreadsheet editing software packages (e.g. Microsoft Excel). Although SampleTab files can have some advanced features, they can be written by users from a wide range of backgrounds using tools they are already familiar with. The SampleTab format has a number of advanced features for power users, such as ontology mappings, anonymous groups, and UTF-8 character encoding. Although this format is still accepted, the administrators of the BioSamples Database recommend that all submissions to BioSamples be made in JSON via our JSON API.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11193}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biology"],"domains":["Biological sample annotation","Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":581,"relation":"undefined"}],"grants":[{"id":6466,"fairsharing_record_id":933,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:01.926Z","updated_at":"2021-09-30T09:28:01.926Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"934","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-20T09:10:25.726Z","metadata":{"doi":"10.25504/FAIRsharing.m21pn","name":"STrengthening the REporting of Genetic Association Studies","status":"ready","contacts":[{"contact_name":"Jullian Little","contact_email":"jlittle@uottawa.ca"}],"homepage":"https://www.equator-network.org/reporting-guidelines/strobe-strega/","citations":[{"doi":"10.1371/journal.pmed.1000022","pubmed_id":19192942,"publication_id":1824}],"identifier":934,"description":"The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies.","abbreviation":"STREGA","support_links":[],"year_creation":2009},"legacy_ids":["bsg-000037","bsg-s000037"],"name":"FAIRsharing record for: STrengthening the REporting of Genetic Association Studies","abbreviation":"STREGA","url":"https://fairsharing.org/10.25504/FAIRsharing.m21pn","doi":"10.25504/FAIRsharing.m21pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The STrengthening the REporting of Genetic Association studies (STREGA) initiative builds on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and provides additions to 12 of the 22 items on the STROBE checklist. The additions concern population stratification, genotyping errors, modelling haplotype variation, Hardy-Weinberg equilibrium, replication, selection of participants, rationale for choice of genes and variants, treatment effects in studying quantitative traits, statistical methods, relatedness, reporting of descriptive and outcome data, and the volume of data issues that are important to consider in genetic association studies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12101}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genetics","Biomedical Science"],"domains":["Deoxyribonucleic acid","Phenotype","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1824,"pubmed_id":19192942,"title":"STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement.","year":2009,"url":"http://doi.org/10.1371/journal.pmed.1000022","authors":"Little J,Higgins JP,Ioannidis JP,Moher D,Gagnon F,von Elm E,Khoury MJ,Cohen B,Davey-Smith G,Grimshaw J,Scheet P,Gwinn M,Williamson RE,Zou GY,Hutchings K,Johnson CY,Tait V,Wiens M,Golding J,van Duijn C,McLaughlin J,Paterson A,Wells G,Fortier I,Freedman M,Zecevic M,King R,Infante-Rivard C,Stewart A,Birkett N","journal":"PLoS Med","doi":"10.1371/journal.pmed.1000022","created_at":"2021-09-30T08:25:44.880Z","updated_at":"2021-09-30T08:25:44.880Z"},{"id":4140,"pubmed_id":null,"title":"Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE Statement","year":2009,"url":"http://dx.doi.org/10.1007/s00439-008-0592-7","authors":"Little, Julian; Higgins, Julian P. T.; Ioannidis, John P. A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey-Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante-Rivard, Claire; Stewart, Alex; Birkett, Nick; ","journal":"Hum Genet","doi":"10.1007/s00439-008-0592-7","created_at":"2024-02-20T08:44:12.720Z","updated_at":"2024-02-20T08:44:12.720Z"},{"id":4141,"pubmed_id":null,"title":"Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE statement","year":2009,"url":"http://dx.doi.org/10.1007/s10654-008-9302-y","authors":"Little, Julian; Higgins, Julian P. T.; Ioannidis, John P. A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey-Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante-Rivard, Claire; Stewart, Alex; Birkett, Nick; ","journal":"Eur J Epidemiol","doi":"10.1007/s10654-008-9302-y","created_at":"2024-02-20T08:44:30.019Z","updated_at":"2024-02-20T08:44:30.019Z"},{"id":4142,"pubmed_id":null,"title":"STrengthening the REporting of Genetic Association Studies (STREGA): An Extension of the STROBE Statement","year":2013,"url":"http://dx.doi.org/10.7326/0003-4819-150-3-200902030-00011","authors":"Little, Julian; ","journal":"Ann Intern Med","doi":"10.7326/0003-4819-150-3-200902030-00011","created_at":"2024-02-20T08:44:41.772Z","updated_at":"2024-02-20T08:44:41.772Z"},{"id":4143,"pubmed_id":null,"title":"Strengthening the reporting of genetic association studies (STREGA)—an extension of the strengthening the reporting of observational studies in epidemiology (STROBE) statement","year":2009,"url":"http://dx.doi.org/10.1016/j.jclinepi.2008.12.004","authors":"Little, Julian; Higgins, Julian P.T.; Ioannidis, John P.A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey-Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante-Rivard, Claire; Stewart, Alex F.; Birkett, Nick; ","journal":"Journal of Clinical Epidemiology","doi":"10.1016/j.jclinepi.2008.12.004","created_at":"2024-02-20T08:44:53.809Z","updated_at":"2024-02-20T08:44:53.809Z"},{"id":4144,"pubmed_id":null,"title":"STrengthening the REporting of Genetic Association Studies (STREGA)—an extension of the STROBE statement","year":2009,"url":"http://dx.doi.org/10.1002/gepi.20410","authors":"Little, Julian; Higgins, Julian P. T.; Ioannidis, John P. A.; Moher, David; Gagnon, France; von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey‐Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante‐Rivard, Claire; Stewart,, Alex; Birkett, Nick; ","journal":"Genetic Epidemiology","doi":"10.1002/gepi.20410","created_at":"2024-02-20T08:45:06.193Z","updated_at":"2024-02-20T08:45:06.193Z"},{"id":4145,"pubmed_id":null,"title":"STrengthening the REporting of Genetic Association studies (STREGA) – an extension of the STROBE statement","year":2009,"url":"http://dx.doi.org/10.1111/j.1365-2362.2009.02125.x","authors":"Little, Julian; Higgins, Julian P.T.; Ioannidis, John P.A.; Moher, David; Gagnon, France; Von Elm, Erik; Khoury, Muin J.; Cohen, Barbara; Davey‐Smith, George; Grimshaw, Jeremy; Scheet, Paul; Gwinn, Marta; Williamson, Robin E.; Zou, Guang Yong; Hutchings, Kim; Johnson, Candice Y.; Tait, Valerie; Wiens, Miriam; Golding, Jean; Van Duijn, Cornelia; McLaughlin, John; Paterson, Andrew; Wells, George; Fortier, Isabel; Freedman, Matthew; Zecevic, Maja; King, Richard; Infante‐Rivard, Claire; Stewart, Alex; Birkett, Nick; ","journal":"Eur J Clin Investigation","doi":"10.1111/j.1365-2362.2009.02125.x","created_at":"2024-02-20T08:45:16.892Z","updated_at":"2024-02-20T08:45:16.892Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3409,"relation":"applies_to_content"}],"grants":[{"id":6467,"fairsharing_record_id":934,"organisation_id":2653,"relation":"maintains","created_at":"2021-09-30T09:28:01.952Z","updated_at":"2021-09-30T09:28:01.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":2653,"name":"STREGA group, faculty of medecine, Ottawa, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"944","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T10:02:36.000Z","updated_at":"2021-11-24T13:20:07.555Z","metadata":{"doi":"10.25504/FAIRsharing.28yec8","name":"Minimum Information About a Bioinformatics investigation","status":"ready","contacts":[{"contact_name":"Shoba Ranganathan","contact_email":"shoba.ranganathan@mq.edu.au"}],"homepage":"http://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-11-S4-S27","identifier":944,"description":"The Minimum Information about a Bioinformatics investigation (MIABi) initiative specifies, through a series of documentation modules, the minimum information that should be provided for a bioinformatics investigation. The MIABi initiative arises from a response to the growing need for transparency, provenance and scientific reproducibility amongst the bioinformatics and computational biology community.","abbreviation":"MIABi","support_links":[{"url":"tinwee@bic.nus.edu.sg","type":"Support email"}],"year_creation":2010},"legacy_ids":["bsg-000650","bsg-s000650"],"name":"FAIRsharing record for: Minimum Information About a Bioinformatics investigation","abbreviation":"MIABi","url":"https://fairsharing.org/10.25504/FAIRsharing.28yec8","doi":"10.25504/FAIRsharing.28yec8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Bioinformatics investigation (MIABi) initiative specifies, through a series of documentation modules, the minimum information that should be provided for a bioinformatics investigation. The MIABi initiative arises from a response to the growing need for transparency, provenance and scientific reproducibility amongst the bioinformatics and computational biology community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Bioinformatics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","Singapore","United States"],"publications":[{"id":1116,"pubmed_id":21143811,"title":"Advancing standards for bioinformatics activities: persistence, reproducibility, disambiguation and Minimum Information About a Bioinformatics investigation (MIABi).","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-S4-S27","authors":"Tan TW,Tong JC,Khan AM,de Silva M,Lim KS,Ranganathan S","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-S4-S27","created_at":"2021-09-30T08:24:23.657Z","updated_at":"2021-09-30T08:24:23.657Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"945","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T20:24:37.000Z","updated_at":"2022-12-13T10:25:35.406Z","metadata":{"doi":"10.25504/FAIRsharing.D1OMbH","name":"Hierarchical Progressive Survey","status":"ready","contacts":[{"contact_name":"IVOA Applications Working Group","contact_email":"apps@ivoa.net"}],"homepage":"http://ivoa.net/documents/HiPS/index.html","citations":[{"publication_id":2932}],"identifier":945,"description":"The HiPS format is a hierarchical scheme for the description, storage and access of sky survey data. The system is based on hierarchical tiling of sky regions at finer and finer spatial resolution which facilitates a progressive view of a survey, and supports multi-resolution zooming and panning. HiPS uses the HEALPix tessellation of the sky as the basis for the scheme and is implemented as a simple file structure with a direct indexing scheme that leads to practical implementations. HiPS is designed specifically for astronomical data in that it takes the astrometric and photometric properties of the original data into account, and emphasis is placed on ease of use without the need for special servers or database systems.","abbreviation":"HiPS","year_creation":2016},"legacy_ids":["bsg-001146","bsg-s001146"],"name":"FAIRsharing record for: Hierarchical Progressive Survey","abbreviation":"HiPS","url":"https://fairsharing.org/10.25504/FAIRsharing.D1OMbH","doi":"10.25504/FAIRsharing.D1OMbH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HiPS format is a hierarchical scheme for the description, storage and access of sky survey data. The system is based on hierarchical tiling of sky regions at finer and finer spatial resolution which facilitates a progressive view of a survey, and supports multi-resolution zooming and panning. HiPS uses the HEALPix tessellation of the sky as the basis for the scheme and is implemented as a simple file structure with a direct indexing scheme that leads to practical implementations. HiPS is designed specifically for astronomical data in that it takes the astrometric and photometric properties of the original data into account, and emphasis is placed on ease of use without the need for special servers or database systems.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11484}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2932,"pubmed_id":null,"title":"HiPS - Hierarchical Progressive Survey Version 1.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0519F","authors":"Fernique, Pierre; Allen, Mark; Boch, Thomas; Donaldson, Tom; Durand, Daniel; Ebisawa, Ken; Michel, Laurent; Salgado, Jesus; Stoehr, Felix","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.275Z","updated_at":"2021-09-30T08:28:01.275Z"}],"licence_links":[],"grants":[{"id":6486,"fairsharing_record_id":945,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:02.676Z","updated_at":"2021-09-30T09:28:02.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6485,"fairsharing_record_id":945,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:02.583Z","updated_at":"2021-09-30T09:30:27.222Z","grant_id":718,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"GA 653477","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6484,"fairsharing_record_id":945,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:02.542Z","updated_at":"2021-09-30T09:28:02.542Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"946","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:56.406Z","metadata":{"doi":"10.25504/FAIRsharing.7d0yv9","name":"Minimal Information About a Cellular Assay","status":"ready","contacts":[{"contact_name":"Stefan Wiemann","contact_email":"s.wiemann@dkfz.de"}],"homepage":"http://miaca.sourceforge.net/","identifier":946,"description":"The Minimum Information About a Cellular Assay (MIACA) was developed as an information guideline and a modular Cellular Assay Object Model (CA-OM) that is capable of covering the range of cellular assays possible and which is the basis for efficient data exchange. We invite broad participation in the further development of MIACA and the contents of its object model, to create a widely accepted guideline that will facilitate an efficient assessment of data quality and relevance, and to stimulate the development of databases that will take cell assay data and their accompanying description in a standardized format.","abbreviation":"MIACA","support_links":[{"url":"https://lists.sourceforge.net/lists/listinfo/miaca-announce","type":"Mailing list"},{"url":"http://sourceforge.net/project/showfiles.php?group_id=158121","type":"Help documentation"},{"url":"http://mibbi.sourceforge.net/projects/MIACA.shtml","type":"Help documentation"},{"url":"https://sourceforge.net/projects/miaca/","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000164","bsg-s000164"],"name":"FAIRsharing record for: Minimal Information About a Cellular Assay","abbreviation":"MIACA","url":"https://fairsharing.org/10.25504/FAIRsharing.7d0yv9","doi":"10.25504/FAIRsharing.7d0yv9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information About a Cellular Assay (MIACA) was developed as an information guideline and a modular Cellular Assay Object Model (CA-OM) that is capable of covering the range of cellular assays possible and which is the basis for efficient data exchange. We invite broad participation in the further development of MIACA and the contents of its object model, to create a widely accepted guideline that will facilitate an efficient assessment of data quality and relevance, and to stimulate the development of databases that will take cell assay data and their accompanying description in a standardized format.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10869},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11144},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11568},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11943}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Biomedical Science"],"domains":["Cell","Cellular assay","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Finland","Germany","Japan","Sweden","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"MIACA Full Copyright Notice","licence_id":514,"licence_url":"http://miaca.sourceforge.net/copyrightNotice.txt","link_id":534,"relation":"undefined"}],"grants":[{"id":6487,"fairsharing_record_id":946,"organisation_id":2749,"relation":"maintains","created_at":"2021-09-30T09:28:02.713Z","updated_at":"2021-09-30T09:28:02.713Z","grant_id":null,"is_lead":false,"saved_state":{"id":2749,"name":"The Cell Based Assay Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"947","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2022-07-20T12:36:14.613Z","metadata":{"doi":"10.25504/FAIRsharing.x9s8e","name":"Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","status":"ready","contacts":[{"contact_name":"RIKEN IMS Contact","contact_email":"ims-web@riken.jp"}],"homepage":"https://bioportal.bioontology.org/ontologies/RPO","identifier":947,"description":"The Resource of Asian Primary Immunodeficiency Diseases (RAPID) Phenotype Ontology (RPO) is a controlled vocabulary for phenotypic terms for primary immunodeficiency diseases (PIDs) used within the RAPID database. It is intended to facilitate global sharing and free exchange of PID data with users’ communities. Please note that, while available via BioPortal, the RAPID phenotype ontology is no longer being updated.","abbreviation":"RPO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RPO","name":"RPO","portal":"BioPortal"}]},"legacy_ids":["bsg-000742","bsg-s000742"],"name":"FAIRsharing record for: Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology","abbreviation":"RPO","url":"https://fairsharing.org/10.25504/FAIRsharing.x9s8e","doi":"10.25504/FAIRsharing.x9s8e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Resource of Asian Primary Immunodeficiency Diseases (RAPID) Phenotype Ontology (RPO) is a controlled vocabulary for phenotypic terms for primary immunodeficiency diseases (PIDs) used within the RAPID database. It is intended to facilitate global sharing and free exchange of PID data with users’ communities. Please note that, while available via BioPortal, the RAPID phenotype ontology is no longer being updated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunogenetics","Immunology"],"domains":["Phenotype","Immune system"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India","Japan"],"publications":[],"licence_links":[],"grants":[{"id":6489,"fairsharing_record_id":947,"organisation_id":2444,"relation":"maintains","created_at":"2021-09-30T09:28:02.769Z","updated_at":"2021-09-30T09:28:02.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":2444,"name":"RIKEN Center for Integrative Medical Sciences (IMS), Yokohama City, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6488,"fairsharing_record_id":947,"organisation_id":1402,"relation":"maintains","created_at":"2021-09-30T09:28:02.746Z","updated_at":"2021-09-30T09:28:02.746Z","grant_id":null,"is_lead":false,"saved_state":{"id":1402,"name":"Institute of Bioinformatics, Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"949","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-13T09:29:12.370Z","metadata":{"doi":"10.25504/FAIRsharing.rtzdrx","name":"Bacterial interlocked Process ONtology","status":"ready","contacts":[{"contact_name":"Anne Goelzer","contact_email":"anne.goelzer@inra.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/BIPON","citations":[],"identifier":949,"description":"BiPON is an ontology permitting a multi-scale systemic representation of bacterial cellular processes and the coupling to their mathematical models. BiPON is further composed of two sub- ontologies, bioBiPON and modelBiPON. bioBiPON aims at organizing the systemic description of biological information while modelBiPON aims at describing the mathematical models (including parameters) associated to each biological process.","abbreviation":"BIPON","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIPON","name":"BIPON","portal":"BioPortal"}]},"legacy_ids":["bsg-000746","bsg-s000746"],"name":"FAIRsharing record for: Bacterial interlocked Process ONtology","abbreviation":"BIPON","url":"https://fairsharing.org/10.25504/FAIRsharing.rtzdrx","doi":"10.25504/FAIRsharing.rtzdrx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BiPON is an ontology permitting a multi-scale systemic representation of bacterial cellular processes and the coupling to their mathematical models. BiPON is further composed of two sub- ontologies, bioBiPON and modelBiPON. bioBiPON aims at organizing the systemic description of biological information while modelBiPON aims at describing the mathematical models (including parameters) associated to each biological process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Microbiology"],"domains":["Mathematical model"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"952","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:16:38.670Z","metadata":{"doi":"10.25504/FAIRsharing.sfkmej","name":"Biological Pathway eXchange","status":"ready","contacts":[{"contact_name":"BioPAX group","contact_email":"biopax-discuss@googlegroups.com"}],"homepage":"http://biopax.org/","citations":[{"doi":"10.1038/nbt.1666","pubmed_id":20829833,"publication_id":2142}],"identifier":952,"description":"BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. By offering a standard, with well-defined semantics for pathway representation, BioPAX allows pathway databases and software to interact more efficiently. In addition, BioPAX enables the development of pathway visualization from databases and facilitates analysis of experimentally generated data through combination with prior knowledge. The BioPAX effort is coordinated closely with that of other pathway related standards initiatives namely; PSI-MI, SBML, CellML, and SBGN in order to deliver a compatible standard in the areas where they overlap.","abbreviation":"BioPAX","support_links":[{"url":"https://groups.google.com/forum/#!forum/biopax-discuss","name":"BioPAX Discussion Forum","type":"Forum"},{"url":"https://github.com/BioPAX","name":"GitHub Repository","type":"Github"}],"year_creation":2002,"associated_tools":[{"url":"http://www.biopax.org/validator","name":"BioPAX Validator"},{"url":"https://biopax.github.io/Paxtools/","name":"Paxtools (Java Libraries)"}]},"legacy_ids":["bsg-000038","bsg-s000038"],"name":"FAIRsharing record for: Biological Pathway eXchange","abbreviation":"BioPAX","url":"https://fairsharing.org/10.25504/FAIRsharing.sfkmej","doi":"10.25504/FAIRsharing.sfkmej","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. By offering a standard, with well-defined semantics for pathway representation, BioPAX allows pathway databases and software to interact more efficiently. In addition, BioPAX enables the development of pathway visualization from databases and facilitates analysis of experimentally generated data through combination with prior knowledge. The BioPAX effort is coordinated closely with that of other pathway related standards initiatives namely; PSI-MI, SBML, CellML, and SBGN in order to deliver a compatible standard in the areas where they overlap.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10844},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11135},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11916},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12192},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16948}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science","Systems Biology"],"domains":["Mathematical model","Resource metadata","Modeling and simulation","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","France","Germany","Japan","United Kingdom","United States","Worldwide"],"publications":[{"id":2142,"pubmed_id":20829833,"title":"The BioPAX community standard for pathway data sharing.","year":2010,"url":"http://doi.org/10.1038/nbt.1666","authors":"Demir E,Cary MP,Paley S et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt.1666","created_at":"2021-09-30T08:26:21.458Z","updated_at":"2021-09-30T08:26:21.458Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2090,"relation":"undefined"}],"grants":[{"id":6495,"fairsharing_record_id":952,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:28:03.052Z","updated_at":"2021-09-30T09:28:03.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6493,"fairsharing_record_id":952,"organisation_id":3141,"relation":"maintains","created_at":"2021-09-30T09:28:02.935Z","updated_at":"2021-09-30T09:28:02.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":3141,"name":"University of Toronto, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6494,"fairsharing_record_id":952,"organisation_id":385,"relation":"maintains","created_at":"2021-09-30T09:28:02.973Z","updated_at":"2021-09-30T09:28:02.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":385,"name":"cBio Center at the Dana-Farber Cancer Institute and at Harvard Medical School, Boston, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"953","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:43.446Z","metadata":{"doi":"10.25504/FAIRsharing.qaaj0q","name":"Gene Feature File version 1","status":"deprecated","homepage":"http://www.sanger.ac.uk/resources/software/gff/spec.html","identifier":953,"description":"The GFF file format stands for \"Gene Finding Format\" and was invented at the Sanger Centre. GFF is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3.","abbreviation":"GFF","deprecation_date":"2016-11-25","deprecation_reason":"According to GMOD, this format has been superseded, first by GFF2, and then by GFF3 (https://biosharing.org/bsg-s000235)"},"legacy_ids":["bsg-000234","bsg-s000234"],"name":"FAIRsharing record for: Gene Feature File version 1","abbreviation":"GFF","url":"https://fairsharing.org/10.25504/FAIRsharing.qaaj0q","doi":"10.25504/FAIRsharing.qaaj0q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GFF file format stands for \"Gene Finding Format\" and was invented at the Sanger Centre. GFF is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11162}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"955","type":"fairsharing_records","attributes":{"created_at":"2018-10-15T20:39:30.000Z","updated_at":"2022-02-08T10:50:49.596Z","metadata":{"doi":"10.25504/FAIRsharing.e36460","name":"Cruise Summary Reports","status":"ready","contacts":[{"contact_name":"SeaDataNet User Desk","contact_email":"sdn-userdesk@seadatanet.org"}],"homepage":"https://www.seadatanet.org/Standards/Metadata-formats/CSR","identifier":955,"description":"Cruise Summary Reports (CSR = former ROSCOPs) are the usual means in SeaDataNet for reporting on cruises or field experiments at sea. Traditionally, it is the Chief Scientist's obligation to submit a CSR to his/her National Oceanographic Data Centre (NODC) not later than two weeks after the cruise. This provides a first level inventory of measurements and samples collected at sea. Information such as the ship track, objectives of the cruise and principal investigators contacts are also included among other metadata elements tested to be useful in by the marine community practice. The Reports have been compiled over time and encoded using . Though in the past a XML schema derived from ISO 19115 DTD was used, the current implementation utilizes the ISO 19139 Schema.","abbreviation":"CSR","support_links":[{"url":"https://www.seadatanet.org/sendform/contact","name":"Contact SeaDataNet","type":"Contact form"}]},"legacy_ids":["bsg-001327","bsg-s001327"],"name":"FAIRsharing record for: Cruise Summary Reports","abbreviation":"CSR","url":"https://fairsharing.org/10.25504/FAIRsharing.e36460","doi":"10.25504/FAIRsharing.e36460","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cruise Summary Reports (CSR = former ROSCOPs) are the usual means in SeaDataNet for reporting on cruises or field experiments at sea. Traditionally, it is the Chief Scientist's obligation to submit a CSR to his/her National Oceanographic Data Centre (NODC) not later than two weeks after the cruise. This provides a first level inventory of measurements and samples collected at sea. Information such as the ship track, objectives of the cruise and principal investigators contacts are also included among other metadata elements tested to be useful in by the marine community practice. The Reports have been compiled over time and encoded using . Though in the past a XML schema derived from ISO 19115 DTD was used, the current implementation utilizes the ISO 19139 Schema.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Data Management","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6496,"fairsharing_record_id":955,"organisation_id":2533,"relation":"maintains","created_at":"2021-09-30T09:28:03.091Z","updated_at":"2021-09-30T09:28:03.091Z","grant_id":null,"is_lead":true,"saved_state":{"id":2533,"name":"SeaDataNet","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"956","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-21T11:29:23.306Z","metadata":{"doi":"10.25504/FAIRsharing.wstthd","name":"CONSOlidated Standards of Reporting Trials - Official Extensions","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/consort/","citations":[],"identifier":956,"description":"The main CONSORT Statement is based on the \"standard\" two-group parallel design. However, there are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). To help improve the reporting of these trials the main CONSORT Statement has been extended and modified by members of the CONSORT group for application in these various areas.","abbreviation":"CONSORT - OE","support_links":[{"url":"http://www.consort-statement.org/blog","type":"Blog/News"},{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"http://www.consort-statement.org/extensions/","type":"Help documentation"},{"url":"http://www.consort-statement.org/checklists/view/32-consort/66-title","type":"Help documentation"},{"url":"https://twitter.com/CONSORTing","type":"Twitter"}]},"legacy_ids":["bsg-000142","bsg-s000142"],"name":"FAIRsharing record for: CONSOlidated Standards of Reporting Trials - Official Extensions","abbreviation":"CONSORT - OE","url":"https://fairsharing.org/10.25504/FAIRsharing.wstthd","doi":"10.25504/FAIRsharing.wstthd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The main CONSORT Statement is based on the \"standard\" two-group parallel design. However, there are several variations to the standard trial methodology, including different design aspects (e.g., cluster), interventions (e.g., herbals) and data (e.g., harms). To help improve the reporting of these trials the main CONSORT Statement has been extended and modified by members of the CONSORT group for application in these various areas.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11944},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12409}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Preclinical Studies"],"domains":["Data acquisition"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":955,"pubmed_id":23443445,"title":"Reporting of patient-reported outcomes in randomized trials: the CONSORT PRO extension.","year":2013,"url":"http://doi.org/10.1001/jama.2013.879","authors":"Calvert M,Blazeby J,Altman DG,Revicki DA,Moher D,Brundage MD","journal":"JAMA","doi":"10.1001/jama.2013.879","created_at":"2021-09-30T08:24:05.638Z","updated_at":"2021-09-30T08:24:05.638Z"},{"id":1174,"pubmed_id":24168680,"title":"The CONSORT Patient-Reported Outcome (PRO) extension: implications for clinical trials and practice.","year":2013,"url":"http://doi.org/10.1186/1477-7525-11-184","authors":"Calvert M,Brundage M,Jacobsen PB,Schunemann HJ,Efficace F","journal":"Health Qual Life Outcomes","doi":"10.1186/1477-7525-11-184","created_at":"2021-09-30T08:24:30.500Z","updated_at":"2021-09-30T08:24:30.500Z"},{"id":1328,"pubmed_id":28168602,"title":"Preliminary evidence on the uptake, use and benefits of the CONSORT-PRO extension.","year":2017,"url":"http://doi.org/10.1007/s11136-017-1508-6","authors":"Mercieca-Bebber R,Rouette J,Calvert M,King MT,McLeod L,Holch P,Palmer MJ,Brundage M","journal":"Qual Life Res","doi":"10.1007/s11136-017-1508-6","created_at":"2021-09-30T08:24:48.667Z","updated_at":"2021-09-30T08:24:48.667Z"}],"licence_links":[],"grants":[{"id":6501,"fairsharing_record_id":956,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:03.255Z","updated_at":"2021-09-30T09:28:03.255Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6497,"fairsharing_record_id":956,"organisation_id":996,"relation":"funds","created_at":"2021-09-30T09:28:03.124Z","updated_at":"2021-09-30T09:28:03.124Z","grant_id":null,"is_lead":false,"saved_state":{"id":996,"name":"Family Hearth International (FHI 360), Durham, NC, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6500,"fairsharing_record_id":956,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:28:03.222Z","updated_at":"2021-09-30T09:28:03.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6502,"fairsharing_record_id":956,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:28:03.288Z","updated_at":"2021-09-30T09:28:03.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6503,"fairsharing_record_id":956,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:28:03.330Z","updated_at":"2021-09-30T09:28:03.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6499,"fairsharing_record_id":956,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:28:03.184Z","updated_at":"2021-09-30T09:29:25.624Z","grant_id":244,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","grant":"C5529","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11395,"fairsharing_record_id":956,"organisation_id":2280,"relation":"funds","created_at":"2024-02-20T11:26:15.902Z","updated_at":"2024-02-20T11:26:15.902Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"957","type":"fairsharing_records","attributes":{"created_at":"2018-09-10T21:03:22.000Z","updated_at":"2022-02-08T10:50:13.092Z","metadata":{"doi":"10.25504/FAIRsharing.b8b212","name":"Extensible Stylesheet Language","status":"ready","contacts":[{"contact_name":"Anders Berglund","contact_email":"alrb@us.ibm.com"}],"homepage":"http://www.w3.org/TR/xsl11/","identifier":957,"description":"This specification defines the features and syntax for the Extensible Stylesheet Language (XSL, also known colloquially as the Extensible Stylesheet Language Formatting Objects (XSLFO)), a language for expressing stylesheets. XSL is a family of recommendations for defining XML document transformation and presentation. It consists of three parts: XSL Transformations (XSLT), a language for transforming XML; The XML Path Language (XPath), an expression language used by XSLT (and many other languages) to access or refer to parts of an XML document; and XSL Formatting Objects (XSL-FO), an XML vocabulary for specifying formatting semantics (described here).","abbreviation":"XSL","year_creation":2006},"legacy_ids":["bsg-001289","bsg-s001289"],"name":"FAIRsharing record for: Extensible Stylesheet Language","abbreviation":"XSL","url":"https://fairsharing.org/10.25504/FAIRsharing.b8b212","doi":"10.25504/FAIRsharing.b8b212","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This specification defines the features and syntax for the Extensible Stylesheet Language (XSL, also known colloquially as the Extensible Stylesheet Language Formatting Objects (XSLFO)), a language for expressing stylesheets. XSL is a family of recommendations for defining XML document transformation and presentation. It consists of three parts: XSL Transformations (XSLT), a language for transforming XML; The XML Path Language (XPath), an expression language used by XSLT (and many other languages) to access or refer to parts of an XML document; and XSL Formatting Objects (XSL-FO), an XML vocabulary for specifying formatting semantics (described here).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Free text","Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":304,"relation":"undefined"}],"grants":[{"id":6504,"fairsharing_record_id":957,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:03.412Z","updated_at":"2021-09-30T09:28:03.412Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"958","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T10:19:51.000Z","updated_at":"2023-06-05T06:23:22.617Z","metadata":{"doi":"10.25504/FAIRsharing.XfpPv7","name":"History and Sciences of Religions Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/4V5/en/","citations":[],"identifier":958,"description":"Controlled vocabulary used for indexing bibliographical records for the \"History and Sciences of Religions\" FRANCIS database (1972-2015). It consists of 4579 entries available in 3 languages (English, French, and Spanish).","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001404","bsg-s001404"],"name":"FAIRsharing record for: History and Sciences of Religions Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.XfpPv7","doi":"10.25504/FAIRsharing.XfpPv7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"History and Sciences of Religions\" FRANCIS database (1972-2015). It consists of 4579 entries available in 3 languages (English, French, and Spanish).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11290}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Religious Studies","Humanities and Social Science","History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1683,"relation":"undefined"}],"grants":[{"id":6505,"fairsharing_record_id":958,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:03.489Z","updated_at":"2021-09-30T09:28:03.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6506,"fairsharing_record_id":958,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:03.532Z","updated_at":"2021-09-30T09:28:03.532Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"959","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T13:38:36.000Z","updated_at":"2022-04-11T12:07:18.223Z","metadata":{"doi":"10.25504/FAIRsharing.d5a210","name":"IUPAC-IUB Joint Commission on Biochemical Nomenclature - Nomenclature and Symbolism for Amino Acids and Peptides","status":"ready","contacts":[{"contact_name":"G. P. Moss","contact_email":"g.p.moss@qmul.ac.uk"}],"homepage":"https://www.qmul.ac.uk/sbcs/iupac/misc/naabb.html","identifier":959,"description":"The Nomenclature and Symbolism for Amino Acids and Peptides, created by the IUPAC-IUB Joint Commission on Biochemical Nomenclature, formalizes the naming scheme for amino acids, non-peptide derivatives of amino acids and peptides as well as peptide derivatives. It also describes the 3-letter and 1-letter symbols for amino acids.","abbreviation":"JCBN - Amino Acids and Peptides","support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iupac/jcbn/membr.html","name":"Contact Committee Members","type":"Contact form"}],"year_creation":1983},"legacy_ids":["bsg-001400","bsg-s001400"],"name":"FAIRsharing record for: IUPAC-IUB Joint Commission on Biochemical Nomenclature - Nomenclature and Symbolism for Amino Acids and Peptides","abbreviation":"JCBN - Amino Acids and Peptides","url":"https://fairsharing.org/10.25504/FAIRsharing.d5a210","doi":"10.25504/FAIRsharing.d5a210","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nomenclature and Symbolism for Amino Acids and Peptides, created by the IUPAC-IUB Joint Commission on Biochemical Nomenclature, formalizes the naming scheme for amino acids, non-peptide derivatives of amino acids and peptides as well as peptide derivatives. It also describes the 3-letter and 1-letter symbols for amino acids.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry"],"domains":["Peptide identification","Peptide","Classification","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6508,"fairsharing_record_id":959,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:28:03.598Z","updated_at":"2021-09-30T09:28:03.598Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}},{"id":9156,"fairsharing_record_id":959,"organisation_id":1533,"relation":"maintains","created_at":"2022-04-11T12:07:18.210Z","updated_at":"2022-04-11T12:07:18.210Z","grant_id":null,"is_lead":true,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"935","type":"fairsharing_records","attributes":{"created_at":"2015-04-21T13:20:22.000Z","updated_at":"2022-07-20T13:07:41.104Z","metadata":{"doi":"10.25504/FAIRsharing.wf28wm","name":"UniProt Taxonomy","status":"ready","contacts":[{"contact_name":"UniProt helpdesk","contact_email":"help@uniprot.org"}],"homepage":"http://www.uniprot.org/taxonomy/","identifier":935,"description":"The taxonomy database that is maintained by the UniProt group is based on the NCBI taxonomy database, which is supplemented with data specific to the UniProt Knowledgebase (UniProtKB). While the NCBI taxonomy is updated daily to be in sync with GenBank/EMBL-Bank/DDBJ, the UniProt taxonomy is updated only at UniProt releases to be in sync with UniProtKB. It may therefore happen that for the time period of a UniProt release, you can find new taxa at the NCBI that are not yet in UniProt (and vice versa for deleted taxa). Species with manually annotated and reviewed protein sequences in the Swiss-Prot section of UniProtKB are named according to UniProt nomenclature. In particular, we have adopted a systematic convention for naming viral and bacterial strains and isolates.","abbreviation":"UP Taxonomy","support_links":[{"url":"help@uniprot.org","name":"UniProt Helpdesk","type":"Support email"},{"url":"https://www.uniprot.org/help/taxonomy","name":"Help Pages","type":"Help documentation"},{"url":"https://www.uniprot.org/docs/speclist","name":"CV of UniProt Species","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCkCR5RJZCZZoVTQzTYY92aw","name":"UniProt YouTube Channel","type":"Video"}],"year_creation":2003},"legacy_ids":["bsg-000587","bsg-s000587"],"name":"FAIRsharing record for: UniProt Taxonomy","abbreviation":"UP Taxonomy","url":"https://fairsharing.org/10.25504/FAIRsharing.wf28wm","doi":"10.25504/FAIRsharing.wf28wm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The taxonomy database that is maintained by the UniProt group is based on the NCBI taxonomy database, which is supplemented with data specific to the UniProt Knowledgebase (UniProtKB). While the NCBI taxonomy is updated daily to be in sync with GenBank/EMBL-Bank/DDBJ, the UniProt taxonomy is updated only at UniProt releases to be in sync with UniProtKB. It may therefore happen that for the time period of a UniProt release, you can find new taxa at the NCBI that are not yet in UniProt (and vice versa for deleted taxa). Species with manually annotated and reviewed protein sequences in the Swiss-Prot section of UniProtKB are named according to UniProt nomenclature. In particular, we have adopted a systematic convention for naming viral and bacterial strains and isolates.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1345,"relation":"undefined"}],"grants":[{"id":6469,"fairsharing_record_id":935,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:02.002Z","updated_at":"2021-09-30T09:28:02.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6468,"fairsharing_record_id":935,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:01.976Z","updated_at":"2021-09-30T09:28:01.976Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"936","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.488Z","metadata":{"doi":"10.25504/FAIRsharing.619eqr","name":"Cerebrotendinous Xanthomatosis Ontology","status":"uncertain","contacts":[{"contact_name":"Maria Taboada","contact_email":"maria.taboada@usc.es","contact_orcid":"0000-0002-2353-596X"}],"homepage":"http://bioportal.bioontology.org/ontologies/CTX","identifier":936,"description":"The ontology represents CTX phenotypes, genetic variants, and bidirectional relationships between them though a patient model. The CTX ontology was build reusing the Human Phenotype Ontology (HPO) and the Snomed ct ontologies. A set of temporal clinical manifestations are semantically annotated with a domain phenotype ontology and registered with a time-stamped value.","abbreviation":"CTX","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTX","name":"CTX","portal":"BioPortal"}]},"legacy_ids":["bsg-002797","bsg-s002797"],"name":"FAIRsharing record for: Cerebrotendinous Xanthomatosis Ontology","abbreviation":"CTX","url":"https://fairsharing.org/10.25504/FAIRsharing.619eqr","doi":"10.25504/FAIRsharing.619eqr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology represents CTX phenotypes, genetic variants, and bidirectional relationships between them though a patient model. The CTX ontology was build reusing the Human Phenotype Ontology (HPO) and the Snomed ct ontologies. A set of temporal clinical manifestations are semantically annotated with a domain phenotype ontology and registered with a time-stamped value.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Biomedical Science","Preclinical Studies"],"domains":["Lipid","Phenotype","Disease","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":2132,"pubmed_id":23759795,"title":"Cerebrotendinous xanthomatosis.","year":2013,"url":"http://doi.org/10.1097/MOL.0b013e328362df13","authors":"Bjorkhem I","journal":"Curr Opin Lipidol","doi":"10.1097/MOL.0b013e328362df13","created_at":"2021-09-30T08:26:20.424Z","updated_at":"2021-09-30T08:26:20.424Z"}],"licence_links":[],"grants":[{"id":6470,"fairsharing_record_id":936,"organisation_id":627,"relation":"maintains","created_at":"2021-09-30T09:28:02.026Z","updated_at":"2021-09-30T09:28:02.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":627,"name":"CTX Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"937","type":"fairsharing_records","attributes":{"created_at":"2016-01-18T16:43:40.000Z","updated_at":"2023-03-21T16:00:02.338Z","metadata":{"doi":"10.25504/FAIRsharing.wvdvwp","name":"Electron Microscope Exchange Initiative","status":"deprecated","contacts":[{"contact_name":"Roberto Marabini","contact_email":"emx@cnb.csic.es","contact_orcid":"0000-0001-7876-1684"}],"homepage":"http://i2pc.cnb.csic.es/emx","citations":[],"identifier":937,"description":"The Electron Microscopy Exchange (EMX) format is a standard for metadata exchange in 3D electron microscopy.","abbreviation":"EMX","support_links":[{"url":"http://i2pc.cnb.csic.es/emx/LoadDictionaryFormat.htm?type=LabelList","type":"Help documentation"}],"year_creation":2016,"deprecation_date":"2023-03-20","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000635","bsg-s000635"],"name":"FAIRsharing record for: Electron Microscope Exchange Initiative","abbreviation":"EMX","url":"https://fairsharing.org/10.25504/FAIRsharing.wvdvwp","doi":"10.25504/FAIRsharing.wvdvwp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Electron Microscopy Exchange (EMX) format is a standard for metadata exchange in 3D electron microscopy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Microscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1823,"pubmed_id":26873784,"title":"The Electron Microscopy eXchange (EMX) initiative.","year":2016,"url":"http://doi.org/10.1016/j.jsb.2016.02.008","authors":"Marabini R,Ludtke SJ,Murray SC,Chiu W,de la Rosa-Trevin JM,Patwardhan A,Heymann JB,Carazo JM","journal":"J Struct Biol","doi":"10.1016/j.jsb.2016.02.008","created_at":"2021-09-30T08:25:44.773Z","updated_at":"2021-09-30T08:25:44.773Z"}],"licence_links":[],"grants":[{"id":6471,"fairsharing_record_id":937,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:28:02.052Z","updated_at":"2021-09-30T09:29:32.694Z","grant_id":293,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"AIC-A-2011-0638","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6475,"fairsharing_record_id":937,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:02.242Z","updated_at":"2021-09-30T09:31:03.071Z","grant_id":993,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01GM079429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6473,"fairsharing_record_id":937,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:02.171Z","updated_at":"2021-09-30T09:31:10.018Z","grant_id":1048,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"EINFRA-2015–1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6472,"fairsharing_record_id":937,"organisation_id":1457,"relation":"maintains","created_at":"2021-09-30T09:28:02.133Z","updated_at":"2021-09-30T09:28:02.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":1457,"name":"Instruct Image Processing Center (I2CP), Madrid, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9044,"fairsharing_record_id":937,"organisation_id":595,"relation":"funds","created_at":"2022-03-28T13:31:27.693Z","updated_at":"2022-03-28T13:31:27.693Z","grant_id":1450,"is_lead":false,"saved_state":{"id":595,"name":"Comunidad de Madrid (CAM), Madrid, Spain","grant":"S2010/BMD-2305","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8006,"fairsharing_record_id":937,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:30:21.540Z","updated_at":"2021-09-30T09:30:21.585Z","grant_id":674,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2013-44647-R","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"938","type":"fairsharing_records","attributes":{"created_at":"2016-03-13T11:27:32.000Z","updated_at":"2021-11-24T13:13:44.990Z","metadata":{"doi":"10.25504/FAIRsharing.vh2ye1","name":"Minimum Information About Cell Migration Experiment","status":"in_development","contacts":[{"contact_name":"Alejandra Gonzalez-Beltran","contact_email":"alejandra.gonzalez.beltran@gmail.com","contact_orcid":"0000-0003-3499-8262"}],"homepage":"http://cmso.science/","identifier":938,"description":"The Minimum Information About Cell Migration Experiment is being defined by the Cell Migration Standardization Organization.","abbreviation":"MIACME","support_links":[{"url":"https://cmso.science/mailing-lists/","type":"Contact form"},{"url":"wg1-cmso-minimalrequirements@vib-ugent.be","type":"Support email"},{"url":"https://github.com/CellMigStandOrg/MIACME","type":"Github"},{"url":"https://cmso.science/","type":"Help documentation"},{"url":"https://twitter.com/CellMigStandOrg","type":"Twitter"}],"year_creation":2016},"legacy_ids":["bsg-000642","bsg-s000642"],"name":"FAIRsharing record for: Minimum Information About Cell Migration Experiment","abbreviation":"MIACME","url":"https://fairsharing.org/10.25504/FAIRsharing.vh2ye1","doi":"10.25504/FAIRsharing.vh2ye1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information About Cell Migration Experiment is being defined by the Cell Migration Standardization Organization.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10886}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Cell Biology"],"domains":["Cell migration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":101,"relation":"undefined"}],"grants":[{"id":6477,"fairsharing_record_id":938,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:02.325Z","updated_at":"2021-09-30T09:31:30.527Z","grant_id":1203,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"MULTIMOT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6476,"fairsharing_record_id":938,"organisation_id":396,"relation":"maintains","created_at":"2021-09-30T09:28:02.284Z","updated_at":"2021-09-30T09:28:02.284Z","grant_id":null,"is_lead":false,"saved_state":{"id":396,"name":"Cell Migration Standardisation Organisation (CMSO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"941","type":"fairsharing_records","attributes":{"created_at":"2021-02-15T16:48:34.000Z","updated_at":"2021-11-24T13:17:40.786Z","metadata":{"doi":"10.25504/FAIRsharing.cd2f9e","name":"Hypertext Transfer Protocol Secure","status":"ready","homepage":"https://en.wikipedia.org/wiki/HTTPS","identifier":941,"description":"Hypertext Transfer Protocol Secure (HTTPS) is an extension of the Hypertext Transfer Protocol (HTTP). It is used for secure communication over a computer network, and is widely used on the Internet. In HTTPS, the communication protocol is encrypted using Transport Layer Security (TLS) or, formerly, Secure Sockets Layer (SSL). The protocol is therefore also referred to as HTTP over TLS, or HTTP over SSL.","abbreviation":"HTTPS","year_creation":1994},"legacy_ids":["bsg-001593","bsg-s001593"],"name":"FAIRsharing record for: Hypertext Transfer Protocol Secure","abbreviation":"HTTPS","url":"https://fairsharing.org/10.25504/FAIRsharing.cd2f9e","doi":"10.25504/FAIRsharing.cd2f9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Hypertext Transfer Protocol Secure (HTTPS) is an extension of the Hypertext Transfer Protocol (HTTP). It is used for secure communication over a computer network, and is widely used on the Internet. In HTTPS, the communication protocol is encrypted using Transport Layer Security (TLS) or, formerly, Secure Sockets Layer (SSL). The protocol is therefore also referred to as HTTP over TLS, or HTTP over SSL.","linked_records":[],"linking_records":[{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13206},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13240},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13247},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13281},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13291}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Internet protocol"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"942","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:25.819Z","metadata":{"doi":"10.25504/FAIRsharing.v5xfnf","name":"Globally Unique Identifier and Life Science Identifier Applicability Statement","status":"ready","contacts":[{"contact_name":"Kevin Richards","contact_email":"richardsk777@gmail.com","contact_orcid":"0000-0001-6570-7443"}],"homepage":"https://github.com/tdwg/guid-as","identifier":942,"description":"GUIDs are Globally Unique Identifiers which should be referentially consistent and resolvable in order to support tests of uniqueness and the acquisition of associated metadata. Further, permanent and robust resolution services need to be available. The TDWG Globally Unique Identifiers Task Group (TDWG GUID), after meeting twice in 2006, recommended the use of the Life Sciences Identifiers (LSID) to uniquely identify shared data objects in the biodiversity domain.","abbreviation":"GUID and LSID Applicability Statements","support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","type":"Mailing list"}],"year_creation":2011},"legacy_ids":["bsg-000194","bsg-s000194"],"name":"FAIRsharing record for: Globally Unique Identifier and Life Science Identifier Applicability Statement","abbreviation":"GUID and LSID Applicability Statements","url":"https://fairsharing.org/10.25504/FAIRsharing.v5xfnf","doi":"10.25504/FAIRsharing.v5xfnf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GUIDs are Globally Unique Identifiers which should be referentially consistent and resolvable in order to support tests of uniqueness and the acquisition of associated metadata. Further, permanent and robust resolution services need to be available. The TDWG Globally Unique Identifiers Task Group (TDWG GUID), after meeting twice in 2006, recommended the use of the Life Sciences Identifiers (LSID) to uniquely identify shared data objects in the biodiversity domain.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12007},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12275}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Life Science"],"domains":["Bibliography","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1589,"relation":"undefined"}],"grants":[{"id":6480,"fairsharing_record_id":942,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:02.419Z","updated_at":"2021-09-30T09:28:02.419Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6481,"fairsharing_record_id":942,"organisation_id":1167,"relation":"maintains","created_at":"2021-09-30T09:28:02.445Z","updated_at":"2021-09-30T09:28:02.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1167,"name":"Global Biodiversity Information Facility (GBIF) in Spain, Madrid, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"943","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:14:59.000Z","updated_at":"2024-03-21T13:58:12.684Z","metadata":{"doi":"10.25504/FAIRsharing.813a1k","name":"LINCS Extended Metadata Standard: Primary Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Primary_Cell_Metadata_2017.pdf","citations":[],"identifier":943,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe primary cells, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases, the cells are also associated with a disease.","abbreviation":"LINCS 2: Primary Cells","support_links":[{"url":"https://lincsproject.org/LINCS/files/Primary_Cell_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000652","bsg-s000652"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Primary Cells","abbreviation":"LINCS 2: Primary Cells","url":"https://fairsharing.org/10.25504/FAIRsharing.813a1k","doi":"10.25504/FAIRsharing.813a1k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. To describe primary cells, they incorporated some of the elements proposed in MIACA. The underlying theme among all cell types is their association with a tissue or organ from which the cells were derived. In many cases, the cells are also associated with a disease.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11899},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12492}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":6483,"fairsharing_record_id":943,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:02.512Z","updated_at":"2021-09-30T09:28:02.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11542,"fairsharing_record_id":943,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:12.437Z","updated_at":"2024-03-21T13:58:12.437Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"950","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T13:38:24.000Z","updated_at":"2024-03-17T16:55:51.127Z","metadata":{"doi":"10.25504/FAIRsharing.dee5fb","name":"IUPAC-IUB Commission on Biochemical Nomenclature - Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents","status":"ready","contacts":[{"contact_name":"Gerard P. Moss","contact_email":"g.p.moss@qmul.ac.uk"}],"homepage":"https://www.qmul.ac.uk/sbcs/iupac/misc/naabb.html","identifier":950,"description":"The Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents, created by the IIUPAC-IUB Commission on Biochemical Nomenclature, formalizes the naming scheme for simple nucleotides; nucleotide coenzymes and related substances; nucleic acids; and modified bases, sugars, or phosphates in polynucleotides. It also describes the 3-letter and 1-letter symbols for these substances.","abbreviation":"CBN - Nucleic acid constituents","support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iupac/jcbn/membr.html","name":"Contact Committee Members","type":"Contact form"},{"url":"https://www.qmul.ac.uk/sbcs/iupac/bibliog/white.html","name":"Biochemical Nomenclature and Related Documents","type":"Help documentation"}],"year_creation":1970},"legacy_ids":["bsg-001399","bsg-s001399"],"name":"FAIRsharing record for: IUPAC-IUB Commission on Biochemical Nomenclature - Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents","abbreviation":"CBN - Nucleic acid constituents","url":"https://fairsharing.org/10.25504/FAIRsharing.dee5fb","doi":"10.25504/FAIRsharing.dee5fb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents, created by the IIUPAC-IUB Commission on Biochemical Nomenclature, formalizes the naming scheme for simple nucleotides; nucleotide coenzymes and related substances; nucleic acids; and modified bases, sugars, or phosphates in polynucleotides. It also describes the 3-letter and 1-letter symbols for these substances.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Natural Science"],"domains":["Nucleic acid sequence","Nucleic acid","Nucleotide","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2796,"pubmed_id":null,"title":"Abbreviations and Symbols for Nucleic Acids, Polynucleotides and their Constituents","year":2009,"url":"https://www.degruyter.com/view/j/pac.1974.40.issue-3/pac197440030277/pac197440030277.xml","authors":"IUPAC-/VB Commission on Biochemical Nomenclature","journal":"The Scientific Journal of IUPAC","doi":null,"created_at":"2021-09-30T08:27:43.780Z","updated_at":"2021-09-30T08:27:43.780Z"}],"licence_links":[],"grants":[{"id":6491,"fairsharing_record_id":950,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:28:02.825Z","updated_at":"2021-09-30T09:28:02.825Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}},{"id":9158,"fairsharing_record_id":950,"organisation_id":1533,"relation":"maintains","created_at":"2022-04-11T12:07:18.322Z","updated_at":"2022-04-11T12:07:18.322Z","grant_id":null,"is_lead":true,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"951","type":"fairsharing_records","attributes":{"created_at":"2020-09-29T13:04:32.000Z","updated_at":"2022-07-20T10:40:31.399Z","metadata":{"doi":"10.25504/FAIRsharing.cdd9bf","name":"Geographic Tagged Image File Format","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"memberadmin@ogc.org"}],"homepage":"http://www.opengis.net/doc/IS/GeoTIFF/1.1","identifier":951,"description":"The Geographic Tagged Image File Format (GeoTIFF) format is used throughout the geospatial and earth science communities to share geographic image data. GeoTIFF is based on the TIFF format and is used as an interchange format for georeferenced raster imagery. GeoTIFF defines a set of TIFF tags provided to describe all \"Cartographic\" information associated with TIFF imagery that originates from satellite imaging systems, scanned aerial photography, scanned maps, digital elevation models, or as a result of geographic analyses. The goal is to provide a consistent mechanism for referencing a raster image to a known model space or earth-based coordinate reference system and for describing those coordinate reference systems.","abbreviation":"GeoTIFF","support_links":[{"url":"https://www.ogc.org/contacts","name":"OGC Contact Form","type":"Contact form"},{"url":"http://ogc.standardstracker.org/","name":"OGC Issue Tracker","type":"Forum"},{"url":"https://earthdata.nasa.gov/esdis/eso/standards-and-references/geotiff","name":"NASA GeoTIFF Guide","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GeoTIFF","name":"GeoTIFF Wikipedia Entry","type":"Wikipedia"}],"year_creation":1995},"legacy_ids":["bsg-001531","bsg-s001531"],"name":"FAIRsharing record for: Geographic Tagged Image File Format","abbreviation":"GeoTIFF","url":"https://fairsharing.org/10.25504/FAIRsharing.cdd9bf","doi":"10.25504/FAIRsharing.cdd9bf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geographic Tagged Image File Format (GeoTIFF) format is used throughout the geospatial and earth science communities to share geographic image data. GeoTIFF is based on the TIFF format and is used as an interchange format for georeferenced raster imagery. GeoTIFF defines a set of TIFF tags provided to describe all \"Cartographic\" information associated with TIFF imagery that originates from satellite imaging systems, scanned aerial photography, scanned maps, digital elevation models, or as a result of geographic analyses. The goal is to provide a consistent mechanism for referencing a raster image to a known model space or earth-based coordinate reference system and for describing those coordinate reference systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Geodesy"],"domains":["Geographical location","Imaging","Image"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":1879,"relation":"undefined"}],"grants":[{"id":6492,"fairsharing_record_id":951,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:02.893Z","updated_at":"2021-09-30T09:28:02.893Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"939","type":"fairsharing_records","attributes":{"created_at":"2015-07-20T13:33:05.000Z","updated_at":"2022-03-16T15:17:21.157Z","metadata":{"doi":"10.25504/FAIRsharing.9hynwc","name":"FORCE 11 Data Citation Synthesis Group: Joint Declaration of Data Citation Principles","status":"ready","contacts":[{"contact_name":"FORCE11","contact_email":"info@force11.org","contact_orcid":null}],"homepage":"https://doi.org/10.25490/a97f-egyk","citations":[],"identifier":939,"description":"The FORCE11 Data Citation Principles cover purpose, function and attributes of citations. These principles recognize the dual necessity of creating citation practices that are both human understandable and machine-actionable. They are not comprehensive recommendations for data stewardship, but rather encourage communities to develop practices and tools that embody these principles. The principles are grouped so as to facilitate understanding, rather than according to any perceived criteria of importance.","abbreviation":"FORCE11 Data Citation Principles","support_links":[{"url":"https://force11.org/info/contact-us/","name":"Contact Form","type":"Contact form"},{"url":"https://twitter.com/FORCE11rescomm","name":"@FORCE11rescomm","type":"Twitter"},{"url":"https://force11.org/info/get-involved-post-content-to-force11-website/","name":"Help, Support, \u0026 Resources","type":"Help documentation"},{"url":"https://upstream.force11.org/","name":"FORCE 11 Upstream Blog","type":"Blog/News"},{"url":"https://force11.org/about/code-of-conduct/","name":"Code of conduct","type":"Other"},{"url":"force11.slack.com","name":"force11.slack.com","type":"Other"},{"url":"https://force11.org/info/terms-of-use/","name":"Terms of use","type":"Help documentation"},{"url":"https://github.com/force11","name":"FORCE 11 on GitHub","type":"Github"},{"url":"https://force11.org/info/open-licensing-and-open-source/","name":"Open Licensing \u0026 Open Source","type":"Help documentation"},{"url":"https://docs.google.com/document/d/1lmuIqTgkpMffS4-e0tdfzGt2D4l2p5tbOf3lurYaqzE/edit?usp=sharing","name":"Bylaws","type":"Other"},{"url":"softwarecitationimplementationwg@force11.org","name":"FORCE11 Software Citation Implementation WG","type":"Support email"},{"url":"https://force11.org/privacy-policy","name":"Privacy policy","type":"Other"},{"url":"https://force11.org/info/people-at-force11/","name":"Membership Information","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/FORCE11","name":"FORCE11 Wiki","type":"Wikipedia"},{"url":"https://www.facebook.com/FORCE11ResearchCommunication/","name":"FORCE11 on Facebook","type":"Facebook"},{"url":"https://www.linkedin.com/company/force11rescomm","name":"FORCE11 on LinkedIn","type":"Other"},{"url":"https://www.youtube.com/channel/UCeoSUmlntunLJU29ODPzx6g","name":"YouTube Channel","type":"Video"}],"year_creation":2011,"cross_references":[{"url":"https://scicrunch.org/resolver/RRID:SCR_005334","name":"RRID:SCR_005334","portal":"SciCrunch"}]},"legacy_ids":["bsg-000603","bsg-s000603"],"name":"FAIRsharing record for: FORCE 11 Data Citation Synthesis Group: Joint Declaration of Data Citation Principles","abbreviation":"FORCE11 Data Citation Principles","url":"https://fairsharing.org/10.25504/FAIRsharing.9hynwc","doi":"10.25504/FAIRsharing.9hynwc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FORCE11 Data Citation Principles cover purpose, function and attributes of citations. These principles recognize the dual necessity of creating citation practices that are both human understandable and machine-actionable. They are not comprehensive recommendations for data stewardship, but rather encourage communities to develop practices and tools that embody these principles. The principles are grouped so as to facilitate understanding, rather than according to any perceived criteria of importance.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12051}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Subject Agnostic"],"domains":["Citation"],"taxonomies":["All"],"user_defined_tags":["digital research data"],"countries":["Worldwide"],"publications":[{"id":3258,"pubmed_id":null,"title":"Software citation principles","year":2016,"url":"http://dx.doi.org/10.7717/peerj-cs.86","authors":"Smith, Arfon M.; Katz, Daniel S.; Niemeyer, Kyle E.","journal":"PeerJ Computer Science","doi":"10.7717/peerj-cs.86","created_at":"2022-03-16T05:52:05.165Z","updated_at":"2022-03-16T05:57:59.322Z"},{"id":3260,"pubmed_id":null,"title":"Social infrastructures in research communication: a personal view of the FORCE11 story","year":2018,"url":"http://dx.doi.org/10.1629/uksg.404","authors":"Neylon, Cameron; ","journal":"Insights the UKSG journal","doi":"10.1629/uksg.404","created_at":"2022-03-16T06:51:14.696Z","updated_at":"2022-03-16T06:51:14.696Z"},{"id":3261,"pubmed_id":null,"title":"Achieving human and machine accessibility of cited data in scholarly publications","year":2015,"url":"http://dx.doi.org/10.7717/peerj-cs.1","authors":"Starr, Joan; Castro, Eleni; Crosas, Mercè; Dumontier, Michel; Downs, Robert R.; Duerr, Ruth; Haak, Laurel L.; Haendel, Melissa; Herman, Ivan; Hodson, Simon; Hourclé, Joe; Kratz, John Ernest; Lin, Jennifer; Nielsen, Lars Holm; Nurnberger, Amy; Proell, Stefan; Rauber, Andreas; Sacchi, Simone; Smith, Arthur; Taylor, Mike; Clark, Tim; ","journal":"PeerJ Computer Science","doi":"10.7717/peerj-cs.1","created_at":"2022-03-16T06:53:55.732Z","updated_at":"2022-03-16T06:53:55.732Z"},{"id":3262,"pubmed_id":null,"title":"Force11 White Paper: Improving The Future of Research Communications and e-Scholarship","year":2011,"url":"https://docs.google.com/viewer?a=v\u0026pid=sites\u0026srcid=ZGVmYXVsdGRvbWFpbnxmdXR1cmVvZnJlc2VhcmNoY29tbXVuaWNhdGlvbnN8Z3g6M2FhNTMyOWRiZjk5NGFmNg","authors":"Editors: Phil Bourne, UCSD; Tim Clark, Harvard/MGH; Robert Dale, Macquarie University; Anita de Waard, Elsevier Labs; Ivan Herman, W3C; Eduard Hovy, ISI/USC; David Shotton, Oxford University","journal":"https://force11.org/info/force11-manifesto/","doi":"","created_at":"2022-03-16T06:57:21.953Z","updated_at":"2022-03-16T06:57:21.953Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2627,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2626,"relation":"applies_to_content"}],"grants":[{"id":6478,"fairsharing_record_id":939,"organisation_id":1086,"relation":"maintains","created_at":"2021-09-30T09:28:02.363Z","updated_at":"2022-03-16T15:16:53.713Z","grant_id":null,"is_lead":true,"saved_state":{"id":1086,"name":"Future of Research Communications and e-Scholarship (FORCE11), Ja Lolla, CA, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBhQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ea965cae05ee58530a692df08eec7e298445a574/force11-logotype-horizontal.png?disposition=inline","exhaustive_licences":false}},{"id":"940","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T13:27:01.000Z","updated_at":"2021-11-24T13:13:26.546Z","metadata":{"doi":"10.25504/FAIRsharing.3e194c","name":"Terse RDF Triple Language","status":"ready","contacts":[{"contact_name":"Dave Beckett","contact_email":"dave@dajobe.org"}],"homepage":"http://www.w3.org/TR/turtle/","identifier":940,"description":"Turtle is a format which outlines the serialisation of Resource description framework (RDF). Turtle is a textual syntax for RDF that allows an RDF graph to be completely written in a compact and natural text form, with abbreviations for common usage patterns and datatypes. Turtle provides levels of compatibility with the N-Triples format as well as the triple pattern syntax of the SPARQL W3C Recommendation.","abbreviation":"Turtle","support_links":[{"url":"public-rdf-comments@w3.org","name":"Working Group Contact","type":"Support email"}],"year_creation":2011},"legacy_ids":["bsg-001282","bsg-s001282"],"name":"FAIRsharing record for: Terse RDF Triple Language","abbreviation":"Turtle","url":"https://fairsharing.org/10.25504/FAIRsharing.3e194c","doi":"10.25504/FAIRsharing.3e194c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Turtle is a format which outlines the serialisation of Resource description framework (RDF). Turtle is a textual syntax for RDF that allows an RDF graph to be completely written in a compact and natural text form, with abbreviations for common usage patterns and datatypes. Turtle provides levels of compatibility with the N-Triples format as well as the triple pattern syntax of the SPARQL W3C Recommendation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1385,"relation":"undefined"}],"grants":[{"id":6479,"fairsharing_record_id":940,"organisation_id":3206,"relation":"maintains","created_at":"2021-09-30T09:28:02.395Z","updated_at":"2021-09-30T09:28:02.395Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"931","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-27T15:59:26.929Z","metadata":{"doi":"10.25504/FAIRsharing.gr06tm","name":"CONSOlidated standards of Reporting Trials","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/consort/","citations":[],"identifier":931,"description":"CONSORT encompasses various initiatives developed by the CONSORT Group to alleviate the problems arising from inadequate reporting of randomized controlled trials (RCTs). The 2010 guideline is intended to improve the reporting of parallel-group randomized controlled trial (RCT), enabling readers to understand a trial's design, conduct, analysis and interpretation, and to assess the validity of its results. This can only be achieved through complete adherence and transparency by authors. CONSORT 2010 was developed through collaboration and consensus between clinical trial methodologists, guideline developers, knowledge translation specialists, and journal editors (see CONSORT group ). CONSORT 2010 is the current version of the guideline and supersedes the 2001 and 1996 versions . It contains a 25-item checklist and flow diagram.","abbreviation":"CONSORT","support_links":[{"url":"https://www.youtube.com/user/CONSORTStatement","name":"Youtube","type":"Video"},{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"http://www.consort-statement.org/examples","type":"Help documentation"},{"url":"http://www.consort-statement.org/download/Media/Default/Downloads/CONSORT%202010%20Checklist.doc","type":"Help documentation"},{"url":"https://twitter.com/CONSORTing","type":"Twitter"}],"year_creation":2003},"legacy_ids":["bsg-000141","bsg-s000141"],"name":"FAIRsharing record for: CONSOlidated standards of Reporting Trials","abbreviation":"CONSORT","url":"https://fairsharing.org/10.25504/FAIRsharing.gr06tm","doi":"10.25504/FAIRsharing.gr06tm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CONSORT encompasses various initiatives developed by the CONSORT Group to alleviate the problems arising from inadequate reporting of randomized controlled trials (RCTs). The 2010 guideline is intended to improve the reporting of parallel-group randomized controlled trial (RCT), enabling readers to understand a trial's design, conduct, analysis and interpretation, and to assess the validity of its results. This can only be achieved through complete adherence and transparency by authors. CONSORT 2010 was developed through collaboration and consensus between clinical trial methodologists, guideline developers, knowledge translation specialists, and journal editors (see CONSORT group ). CONSORT 2010 is the current version of the guideline and supersedes the 2001 and 1996 versions . It contains a 25-item checklist and flow diagram.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11955},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12415},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16934}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Data acquisition"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":13,"pubmed_id":20352064,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1371/journal.pmed.1000251","authors":"Schulz KF, Altman DG, Moher D; CONSORT Group.","journal":"PLoS Med.","doi":"10.1371/journal.pmed.1000251","created_at":"2021-09-30T08:22:21.895Z","updated_at":"2021-09-30T08:22:21.895Z"},{"id":802,"pubmed_id":20334632,"title":"CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1186/1745-6215-11-32","authors":"Schulz KF,Altman DG,Moher D","journal":"Trials","doi":"10.1186/1745-6215-11-32","created_at":"2021-09-30T08:23:48.462Z","updated_at":"2021-09-30T08:23:48.462Z"},{"id":824,"pubmed_id":20410783,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomized trials.","year":2010,"url":"http://doi.org/10.1097/AOG.0b013e3181d9d421","authors":"Schulz KF,Altman DG,Moher D","journal":"Obstet Gynecol","doi":"10.1097/AOG.0b013e3181d9d421","created_at":"2021-09-30T08:23:50.839Z","updated_at":"2021-09-30T08:23:50.839Z"},{"id":2397,"pubmed_id":20346629,"title":"CONSORT 2010 Statement: Updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1016/j.jclinepi.2010.02.005","authors":"Schulz KF,Altman DG,Moher D","journal":"J Clin Epidemiol","doi":"10.1016/j.jclinepi.2010.02.005","created_at":"2021-09-30T08:26:54.352Z","updated_at":"2021-09-30T08:26:54.352Z"},{"id":2398,"pubmed_id":20332509,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1136/bmj.c332","authors":"Schulz KF,Altman DG,Moher D","journal":"BMJ","doi":"10.1136/bmj.c332","created_at":"2021-09-30T08:26:54.453Z","updated_at":"2021-09-30T08:26:54.453Z"},{"id":2818,"pubmed_id":20334633,"title":"CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1186/1741-7015-8-18","authors":"Schulz KF,Altman DG,Moher D","journal":"BMC Med","doi":"10.1186/1741-7015-8-18","created_at":"2021-09-30T08:27:46.563Z","updated_at":"2021-09-30T08:27:46.563Z"},{"id":2828,"pubmed_id":20335313,"title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomized trials.","year":2010,"url":"http://doi.org/10.7326/0003-4819-152-11-201006010-00232","authors":"Schulz KF,Altman DG,Moher D","journal":"Ann Intern Med","doi":"10.7326/0003-4819-152-11-201006010-00232","created_at":"2021-09-30T08:27:47.881Z","updated_at":"2021-09-30T08:27:47.881Z"},{"id":2829,"pubmed_id":20332511,"title":"CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials.","year":2010,"url":"http://doi.org/10.1136/bmj.c869","authors":"Moher D,Hopewell S,Schulz KF,Montori V,Gotzsche PC,Devereaux PJ,Elbourne D,Egger M,Altman DG","journal":"BMJ","doi":"10.1136/bmj.c869","created_at":"2021-09-30T08:27:47.998Z","updated_at":"2021-09-30T08:27:47.998Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":1377,"relation":"undefined"}],"grants":[{"id":6460,"fairsharing_record_id":931,"organisation_id":996,"relation":"funds","created_at":"2021-09-30T09:28:01.691Z","updated_at":"2021-09-30T09:28:01.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":996,"name":"Family Hearth International (FHI 360), Durham, NC, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6458,"fairsharing_record_id":931,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:28:01.635Z","updated_at":"2021-09-30T09:28:01.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6459,"fairsharing_record_id":931,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:01.660Z","updated_at":"2021-09-30T09:28:01.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6462,"fairsharing_record_id":931,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:28:01.820Z","updated_at":"2021-09-30T09:28:01.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11396,"fairsharing_record_id":931,"organisation_id":2280,"relation":"funds","created_at":"2024-02-20T11:26:16.556Z","updated_at":"2024-02-20T11:26:16.556Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"988","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:50.565Z","metadata":{"doi":"10.25504/FAIRsharing.ap169a","name":"Minimal Information Required In the Annotation of Models","status":"ready","contacts":[{"contact_name":"Nicolas Le Novère","contact_email":"n.lenovere@gmail.com","contact_orcid":"0000-0002-6309-7327"}],"homepage":"http://co.mbine.org/standards/miriam","citations":[{"doi":"10.1038/nbt1156","pubmed_id":16333295,"publication_id":2410}],"identifier":988,"description":"The Minimal Information Required In the Annotation of Models (MIRIAM), initiated by the BioModels.net effort, is a set of guidelines for the consistent annotation and curation of computational models in biology. It is suitable for use with any structured format for computational models.","abbreviation":"MIRIAM","year_creation":2005},"legacy_ids":["bsg-000178","bsg-s000178"],"name":"FAIRsharing record for: Minimal Information Required In the Annotation of Models","abbreviation":"MIRIAM","url":"https://fairsharing.org/10.25504/FAIRsharing.ap169a","doi":"10.25504/FAIRsharing.ap169a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimal Information Required In the Annotation of Models (MIRIAM), initiated by the BioModels.net effort, is a set of guidelines for the consistent annotation and curation of computational models in biology. It is suitable for use with any structured format for computational models.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11159},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11590},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11715},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11993},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12212},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16937}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Life Science","Biomedical Science"],"domains":["Mathematical model","Annotation","Chemical entity","Modeling and simulation","Enzymatic reaction","Protein","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":362,"pubmed_id":18078503,"title":"MIRIAM Resources: tools to generate and resolve robust cross-references in Systems Biology.","year":2007,"url":"http://doi.org/10.1186/1752-0509-1-58","authors":"Laibe C., Le Novere N.,","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-1-58","created_at":"2021-09-30T08:22:58.900Z","updated_at":"2021-09-30T08:22:58.900Z"},{"id":1282,"pubmed_id":22140103,"title":"Identifiers.org and MIRIAM Registry: community resources to provide persistent identification.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1097","authors":"Juty N,Le Novere N,Laibe C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1097","created_at":"2021-09-30T08:24:43.090Z","updated_at":"2021-09-30T11:29:05.368Z"},{"id":2410,"pubmed_id":16333295,"title":"Minimum information requested in the annotation of biochemical models (MIRIAM).","year":2005,"url":"http://doi.org/10.1038/nbt1156","authors":"Nicolas Le Novère, Andrew Finney, Michael Hucka, Upinder S Bhalla, Fabien Campagne, Julio Collado-Vides, Edmund J Crampin, Matt Halstead, Edda Klipp, Pedro Mendes, Poul Nielsen, Herbert Sauro, Bruce Shapiro, Jacky L Snoep, Hugh D Spence, Barry L Wanner","journal":"Nat. Biotechnol.","doi":"10.1038/nbt1156","created_at":"2021-09-30T08:26:55.786Z","updated_at":"2021-09-30T08:26:55.786Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":22,"relation":"undefined"}],"grants":[{"id":6555,"fairsharing_record_id":988,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:05.382Z","updated_at":"2021-09-30T09:28:05.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6558,"fairsharing_record_id":988,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:05.479Z","updated_at":"2021-09-30T09:29:46.586Z","grant_id":397,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E005748/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8178,"fairsharing_record_id":988,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:21.338Z","updated_at":"2021-09-30T09:31:21.392Z","grant_id":1132,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"JPA 1729","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6556,"fairsharing_record_id":988,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:05.407Z","updated_at":"2021-09-30T09:28:05.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6557,"fairsharing_record_id":988,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:05.437Z","updated_at":"2021-09-30T09:28:05.437Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"989","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:50.751Z","metadata":{"doi":"10.25504/FAIRsharing.dcsw6j","name":"Common Terminology Criteria for Adverse Events","status":"ready","contacts":[{"contact_name":"CTCAE Help","contact_email":"ncictcaehelp@mail.nih.gov"}],"homepage":"http://ctep.cancer.gov/protocolDevelopment/electronic_applications/ctc.htm","citations":[],"identifier":989,"description":"A coding system for reporting adverse events that occur in the course of cancer therapy. It was derived from the Common Toxicity Criteria (CTC) v2.0 and is maintained by the Cancer Therapy Evaluation Program (CTEP) at the National Cancer Institution (NCI).","abbreviation":"CTCAE","support_links":[{"url":"NCICTCAEComments@mail.nih.gov","type":"Support email"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CTCAE","name":"CTCAE","portal":"BioPortal"}]},"legacy_ids":["bsg-002644","bsg-s002644"],"name":"FAIRsharing record for: Common Terminology Criteria for Adverse Events","abbreviation":"CTCAE","url":"https://fairsharing.org/10.25504/FAIRsharing.dcsw6j","doi":"10.25504/FAIRsharing.dcsw6j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A coding system for reporting adverse events that occur in the course of cancer therapy. It was derived from the Common Toxicity Criteria (CTC) v2.0 and is maintained by the Cancer Therapy Evaluation Program (CTEP) at the National Cancer Institution (NCI).","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16654}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Cancer","Disease"],"taxonomies":["Homo sapiens","Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1960,"pubmed_id":19379294,"title":"Veterinary Co-operative Oncology Group - Common Terminology Criteria for Adverse Events (VCOG-CTCAE) following chemotherapy or biological antineoplastic therapy in dogs and cats v1.0.","year":2004,"url":"http://doi.org/10.1111/j.1476-5810.2004.0053b.x","authors":"Veterinary Co-operative Oncology Group (VCOG)","journal":"Vet Comp Oncol","doi":"10.1111/j.1476-5810.2004.0053b.x","created_at":"2021-09-30T08:26:00.557Z","updated_at":"2021-09-30T08:26:00.557Z"}],"licence_links":[],"grants":[{"id":9471,"fairsharing_record_id":989,"organisation_id":1954,"relation":"maintains","created_at":"2022-04-28T15:30:23.312Z","updated_at":"2022-04-28T15:30:23.312Z","grant_id":null,"is_lead":true,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"990","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:17:10.453Z","metadata":{"doi":"10.25504/FAIRsharing.hbh5mk","name":"Human Physiome Field Markup Language","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"contact@physiomeproject.org"}],"homepage":"http://physiomeproject.org/software/fieldml","citations":[{"doi":"10.1007/s11517-013-1097-7","pubmed_id":23900627,"publication_id":691}],"identifier":990,"description":"FieldML is a declarative language for building hierarchical models represented by generalized mathematical fields. FieldML is developed as a data model and accompanying API. FieldML can be used to represent the dynamic 3D geometry and solution fields from computational models of cells, tissues and organs. It enables model interchange for the bioengineering and general engineering analysis communities. Example uses are models of tissue structure, the distribution of proteins and other biochemical compounds, anatomical annotation, and other biological annotation.","abbreviation":"FieldML","support_links":[{"url":"contact@physiomeproject.org","name":"General Contact","type":"Support email"},{"url":"https://tracker.physiomeproject.org/","name":"Physiome Project Tracker","type":"Forum"},{"url":"fieldml-developers@lists.sourceforge.net","name":"Developers' Mailing List","type":"Mailing list"},{"url":"https://github.com/FieldML/FieldML-API","name":"API Documentation","type":"Github"},{"url":"http://physiomeproject.org/software/fieldml/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/physiomeproject","name":"@physiomeproject","type":"Twitter"}],"year_creation":1997},"legacy_ids":["bsg-000568","bsg-s000568"],"name":"FAIRsharing record for: Human Physiome Field Markup Language","abbreviation":"FieldML","url":"https://fairsharing.org/10.25504/FAIRsharing.hbh5mk","doi":"10.25504/FAIRsharing.hbh5mk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FieldML is a declarative language for building hierarchical models represented by generalized mathematical fields. FieldML is developed as a data model and accompanying API. FieldML can be used to represent the dynamic 3D geometry and solution fields from computational models of cells, tissues and organs. It enables model interchange for the bioengineering and general engineering analysis communities. Example uses are models of tissue structure, the distribution of proteins and other biochemical compounds, anatomical annotation, and other biological annotation.","linked_records":[],"linking_records":[{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11881},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12060},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12219},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16947}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Anatomy","Physiology","Biomedical Science","Bioengineering","Systems Biology"],"domains":["Modeling and simulation","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":691,"pubmed_id":23900627,"title":"FieldML, a proposed open standard for the Physiome project for mathematical model representation.","year":2013,"url":"http://doi.org/10.1007/s11517-013-1097-7","authors":"Britten RD, Christie GR, Little C, Miller AK, Bradley C, Wu A, Yu T, Hunter P, Nielsen P.","journal":"Med Biol Eng Comput","doi":"10.1007/s11517-013-1097-7","created_at":"2021-09-30T08:23:36.161Z","updated_at":"2021-09-30T08:23:36.161Z"},{"id":696,"pubmed_id":19380316,"title":"FieldML: concepts and implementation","year":2009,"url":"http://doi.org/10.1098/rsta.2009.0025","authors":"Christie GR, Nielsen PM, Blackett SA, Bradley CP, Hunter PJ.","journal":"Philos Trans A Math Phys Eng Sci.","doi":"10.1098/rsta.2009.0025","created_at":"2021-09-30T08:23:36.711Z","updated_at":"2021-09-30T08:23:36.711Z"}],"licence_links":[{"licence_name":"Physiome Project Open Source Policy","licence_id":666,"licence_url":"http://physiomeproject.org/about/open-source-policy","link_id":116,"relation":"undefined"}],"grants":[{"id":6560,"fairsharing_record_id":990,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:05.580Z","updated_at":"2021-09-30T09:30:47.691Z","grant_id":874,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"224495","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6561,"fairsharing_record_id":990,"organisation_id":1536,"relation":"maintains","created_at":"2021-09-30T09:28:05.622Z","updated_at":"2021-09-30T09:28:05.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":1536,"name":"International Union of Physiological Sciences (IUPS)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6562,"fairsharing_record_id":990,"organisation_id":1311,"relation":"maintains","created_at":"2021-09-30T09:28:05.649Z","updated_at":"2021-09-30T09:28:05.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1311,"name":"IEEE Engineering in Medicine and Biology Society (EMBS), Piscataway, NJ, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"991","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T20:07:58.000Z","updated_at":"2023-11-07T17:28:23.817Z","metadata":{"doi":"10.25504/FAIRsharing.riJmuf","name":"NISO Metadata for Images in XML Schema","status":"ready","contacts":[{"contact_name":"Oya Y. Rieger","contact_email":"oyr1@cornell.edu"}],"homepage":"https://www.loc.gov/standards/mix/","citations":[],"identifier":991,"description":"The XML-based schema for encoding the NISO Data Dictionary - Technical Metadata for Digital Still Images (ANSI/NISO Z39.87-2006).","abbreviation":"NISO MIX","support_links":[{"url":"mix@loc.gov","name":"MIX Listserv","type":"Mailing list"},{"url":"https://www.niso.org/publications/ansiniso-z3987-2006-r2017-data-dictionary-technical-metadata-digital-still-images","name":"ANSI/NISO Z39.87-2006 (R2017)","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-001255","bsg-s001255"],"name":"FAIRsharing record for: NISO Metadata for Images in XML Schema","abbreviation":"NISO MIX","url":"https://fairsharing.org/10.25504/FAIRsharing.riJmuf","doi":"10.25504/FAIRsharing.riJmuf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The XML-based schema for encoding the NISO Data Dictionary - Technical Metadata for Digital Still Images (ANSI/NISO Z39.87-2006).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Image","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6563,"fairsharing_record_id":991,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:05.679Z","updated_at":"2021-09-30T09:28:05.679Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"992","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T22:40:00.000Z","updated_at":"2023-09-29T11:54:59.624Z","metadata":{"doi":"10.25504/FAIRsharing.265943","name":"Language resource management -- Morpho-syntactic annotation framework (MAF)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/51934.html","citations":[],"identifier":992,"description":"ISO 24611:2012 provides a framework for the representation of annotations of word-forms in texts; such annotations concern tokens, their relationship with lexical units, and their morpho-syntactic properties.It describes a metamodel for morpho-syntactic annotation that relates to a reference to the data categories contained in the ISOCat data category registry (DCR, as defined in ISO 12620). It also describes an XML serialization for morpho-syntactic annotations, with equivalences to the guidelines of the TEI (text encoding initiative).","abbreviation":"ISO 24611:2012","support_links":[{"url":"https://www.iso.org/contents/data/standard/05/19/51934.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001251","bsg-s001251"],"name":"FAIRsharing record for: Language resource management -- Morpho-syntactic annotation framework (MAF)","abbreviation":"ISO 24611:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.265943","doi":"10.25504/FAIRsharing.265943","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24611:2012 provides a framework for the representation of annotations of word-forms in texts; such annotations concern tokens, their relationship with lexical units, and their morpho-syntactic properties.It describes a metamodel for morpho-syntactic annotation that relates to a reference to the data categories contained in the ISOCat data category registry (DCR, as defined in ISO 12620). It also describes an XML serialization for morpho-syntactic annotations, with equivalences to the guidelines of the TEI (text encoding initiative).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":813,"relation":"undefined"}],"grants":[{"id":6564,"fairsharing_record_id":992,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:05.721Z","updated_at":"2021-09-30T09:28:05.721Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10930,"fairsharing_record_id":992,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:21:36.344Z","updated_at":"2023-09-27T14:21:36.344Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"974","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:02:58.897Z","metadata":{"doi":"10.25504/FAIRsharing.jcg19w","name":"Kinetic Simulation Algorithm Ontology","status":"ready","contacts":[{"contact_name":"Nicolas Le Novère","contact_email":"lenov@ebi.ac.uk","contact_orcid":"0000-0002-6309-7327"}],"homepage":"http://co.mbine.org/standards/kisao","citations":[],"identifier":974,"description":"The Kinetic Simulation Algorithm Ontology aims at providing support in unambiguously referring to simulation algorithms when describing a simulation experiment. It describes and classifies existing algorithms and their inter-relationships through the algorithm characteristics and parameters.","abbreviation":"KiSAO","support_links":[{"url":"https://sourceforge.net/p/kisao/feature-requests/new/","name":"Submit a ticket","type":"Contact form"},{"url":"biomodels-net-support@lists.sf.net","name":"Mailing List","type":"Mailing list"}],"year_creation":2015,"associated_tools":[{"url":"http://co.mbine.org/standards/kisao/libkisao","name":"libKiSAO"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/KISAO","name":"KISAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/kisao.html","name":"kisao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002642","bsg-s002642"],"name":"FAIRsharing record for: Kinetic Simulation Algorithm Ontology","abbreviation":"KiSAO","url":"https://fairsharing.org/10.25504/FAIRsharing.jcg19w","doi":"10.25504/FAIRsharing.jcg19w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Kinetic Simulation Algorithm Ontology aims at providing support in unambiguously referring to simulation algorithms when describing a simulation experiment. It describes and classifies existing algorithms and their inter-relationships through the algorithm characteristics and parameters.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11184},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12095},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12230},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16949}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Computer Science"],"domains":["Kinetic model","Modeling and simulation","Algorithm"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":22,"pubmed_id":22027554,"title":"Controlled vocabularies and semantics in systems biology.","year":2011,"url":"http://doi.org/10.1038/msb.2011.77","authors":"Courtot M,Juty N,Knupfer C et al.","journal":"Mol Syst Biol","doi":"10.1038/msb.2011.77","created_at":"2021-09-30T08:22:22.740Z","updated_at":"2021-09-30T08:22:22.740Z"}],"licence_links":[{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":2192,"relation":"undefined"}],"grants":[{"id":6532,"fairsharing_record_id":974,"organisation_id":1636,"relation":"maintains","created_at":"2021-09-30T09:28:04.564Z","updated_at":"2021-09-30T09:28:04.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1636,"name":"Kinetic Simulation Algorithm Ontology (KiSAO) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"975","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.642Z","metadata":{"doi":"10.25504/FAIRsharing.3ychgy","name":"Immune Disorder Ontology","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"RScheuermann@jcvi.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/3127","identifier":975,"description":"The Immune Disorder Ontology was generated as part of the Bioinformatics Integration Support Contract (BISC) funded by the Division of Allergy, Immunology and Transplantation (DAIT) within NIAID. The ontology is based on the National Library of Medicine (NLM) Medical Subject Headings; National Cancer Institute Thesaurus; International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM); ICD-10; and other open source public databases.","abbreviation":"ImmDis","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IMMDIS","name":"IMMDIS","portal":"BioPortal"}],"deprecation_date":"2016-11-22","deprecation_reason":"Contact with one of the creators of this ontology, Richard Scheuermann, revealed that this ontology was developed as part of the BISC/ImmPort project and is no longer in use."},"legacy_ids":["bsg-002836","bsg-s002836"],"name":"FAIRsharing record for: Immune Disorder Ontology","abbreviation":"ImmDis","url":"https://fairsharing.org/10.25504/FAIRsharing.3ychgy","doi":"10.25504/FAIRsharing.3ychgy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Immune Disorder Ontology was generated as part of the Bioinformatics Integration Support Contract (BISC) funded by the Division of Allergy, Immunology and Transplantation (DAIT) within NIAID. The ontology is based on the National Library of Medicine (NLM) Medical Subject Headings; National Cancer Institute Thesaurus; International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM); ICD-10; and other open source public databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Immunology","Biomedical Science"],"domains":["Disease","Immune system"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6533,"fairsharing_record_id":975,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:04.588Z","updated_at":"2021-09-30T09:28:04.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"976","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T08:56:25.000Z","updated_at":"2022-12-13T10:25:25.674Z","metadata":{"doi":"10.25504/FAIRsharing.44plg5","name":"VOSpace Service Specification","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOSpace/","citations":[{"publication_id":2951}],"identifier":976,"description":"VOSpace is the IVOA interface to distributed storage. This specification presents the second RESTful version of the interface. It specifies how VO agents and applications can use network attached data stores to persist and exchange data in a standard way.","abbreviation":"VOSpace","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOSpaceHome","name":"VOSpace Wiki","type":"Help documentation"},{"url":"http://ivoa.net/documents/VOSpace/20170924/PR-VOSpace-2.1-20170924.html","name":"View Standard","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001191","bsg-s001191"],"name":"FAIRsharing record for: VOSpace Service Specification","abbreviation":"VOSpace","url":"https://fairsharing.org/10.25504/FAIRsharing.44plg5","doi":"10.25504/FAIRsharing.44plg5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOSpace is the IVOA interface to distributed storage. This specification presents the second RESTful version of the interface. It specifies how VO agents and applications can use network attached data stores to persist and exchange data in a standard way.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11457}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2951,"pubmed_id":null,"title":"VOSpace Version 2.1","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0621G","authors":"Graham, Matthew; Major, Brian; Morris, Dave; Rixon, Guy; Dowler, Pat; Schaaff, André; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.702Z","updated_at":"2021-09-30T08:28:03.702Z"}],"licence_links":[],"grants":[{"id":6534,"fairsharing_record_id":976,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:04.615Z","updated_at":"2021-09-30T09:28:04.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6535,"fairsharing_record_id":976,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:04.703Z","updated_at":"2021-09-30T09:28:04.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"977","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.698Z","metadata":{"doi":"10.25504/FAIRsharing.fsk662","name":"Host Pathogen Interactions Ontology","status":"ready","contacts":[{"contact_name":"Ina Hulsegge","contact_email":"ina.hulsegge@wur.nl","contact_orcid":"0000-0002-7015-6540"}],"homepage":"http://bioportal.bioontology.org/ontologies/HPIO","identifier":977,"description":"Ontology for host pathogen interactions in farmed animals.","abbreviation":"HPIO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HPIO","name":"HPIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002702","bsg-s002702"],"name":"FAIRsharing record for: Host Pathogen Interactions Ontology","abbreviation":"HPIO","url":"https://fairsharing.org/10.25504/FAIRsharing.fsk662","doi":"10.25504/FAIRsharing.fsk662","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology for host pathogen interactions in farmed animals.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16956}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Animal research","Pathogen"],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":1016,"pubmed_id":22228038,"title":"Contributions to an animal trait ontology.","year":2012,"url":"http://doi.org/10.2527/jas.2011-4251","authors":"Hulsegge B, Smits MA, te Pas MF, Woelders H","journal":"J Anim Sci","doi":"10.2527/jas.2011-4251","created_at":"2021-09-30T08:24:12.480Z","updated_at":"2021-09-30T08:24:12.480Z"}],"licence_links":[],"grants":[{"id":6536,"fairsharing_record_id":977,"organisation_id":3215,"relation":"maintains","created_at":"2021-09-30T09:28:04.741Z","updated_at":"2021-09-30T09:28:04.741Z","grant_id":null,"is_lead":false,"saved_state":{"id":3215,"name":"Wageningen University and Research, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"978","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:25.757Z","metadata":{"doi":"10.25504/FAIRsharing.xg0685","name":"Diagnostic Ontology","status":"ready","contacts":[{"contact_name":"Amrapali Zaveri","contact_email":"amrapali.j.zaveri@gmail.com","contact_orcid":"0000-0003-3239-4588"}],"homepage":"http://bioportal.bioontology.org/ontologies/3013","identifier":978,"description":"The Diagnostic Ontology is a computational diagnostic ontology containing 91 elements, including classes and sub-classes, which are required to conduct Systematic Reviews - Meta Analysis (SR-MA) for diagnostic studies, which will assist in standardized reporting of diagnostic articles. SR-MA are studies that aggregate several studies to come to one conclusion for a particular research question.","abbreviation":null,"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DIAGONT","name":"DIAGONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002787","bsg-s002787"],"name":"FAIRsharing record for: Diagnostic Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xg0685","doi":"10.25504/FAIRsharing.xg0685","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Diagnostic Ontology is a computational diagnostic ontology containing 91 elements, including classes and sub-classes, which are required to conduct Systematic Reviews - Meta Analysis (SR-MA) for diagnostic studies, which will assist in standardized reporting of diagnostic articles. SR-MA are studies that aggregate several studies to come to one conclusion for a particular research question.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12502}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Systematic review","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Singapore","United States"],"publications":[{"id":1795,"pubmed_id":22629329,"title":"Center of excellence in research reporting in neurosurgery--diagnostic ontology.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0036759","authors":"Zaveri A,Shah J,Pradhan S,Rodrigues C,Barros J,Ang BT,Pietrobon R","journal":"PLoS One","doi":"10.1371/journal.pone.0036759","created_at":"2021-09-30T08:25:41.544Z","updated_at":"2021-09-30T08:25:41.544Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1601,"relation":"undefined"}],"grants":[{"id":6537,"fairsharing_record_id":978,"organisation_id":2054,"relation":"maintains","created_at":"2021-09-30T09:28:04.774Z","updated_at":"2021-09-30T09:28:04.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":2054,"name":"National Neuroscience Institute (NNI), Singapore, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"979","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T18:55:28.000Z","updated_at":"2023-09-29T11:55:01.756Z","metadata":{"doi":"10.25504/FAIRsharing.d3400a","name":"Management of terminology resources -- TermBase eXchange (TBX)","status":"ready","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/62510.html","citations":[],"identifier":979,"description":"Management of terminology resources -- TermBase eXchange (TBX) (ISO 30042:2019) explains fundamental concepts and describes the metamodel, data categories, and XML styles: DCA (Data Category as Attribute) and DCT (Data Category as Tag). It also specifies the methodology for defining TBX dialects. The audience for this document is anyone wishing to create a new dialect compliant with TBX. This document can also be used to analyze and to understand a terminological data collection or to design a new terminology database that complies with international standards and best practices. Typical users are programmers, software developers, terminologists, analysts, and other language professionals. Intended application areas include translation and authoring. The TBX-Core dialect is described in detail in this document. All other industry-supported dialects are out of the scope of this document.","abbreviation":"ISO 30042:2019","support_links":[{"url":"https://www.iso.org/standard/45797.html","name":"Information on the superceded ISO 30042:2008","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001274","bsg-s001274"],"name":"FAIRsharing record for: Management of terminology resources -- TermBase eXchange (TBX)","abbreviation":"ISO 30042:2019","url":"https://fairsharing.org/10.25504/FAIRsharing.d3400a","doi":"10.25504/FAIRsharing.d3400a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Management of terminology resources -- TermBase eXchange (TBX) (ISO 30042:2019) explains fundamental concepts and describes the metamodel, data categories, and XML styles: DCA (Data Category as Attribute) and DCT (Data Category as Tag). It also specifies the methodology for defining TBX dialects. The audience for this document is anyone wishing to create a new dialect compliant with TBX. This document can also be used to analyze and to understand a terminological data collection or to design a new terminology database that complies with international standards and best practices. Typical users are programmers, software developers, terminologists, analysts, and other language professionals. Intended application areas include translation and authoring. The TBX-Core dialect is described in detail in this document. All other industry-supported dialects are out of the scope of this document.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":146,"relation":"undefined"}],"grants":[{"id":6538,"fairsharing_record_id":979,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:04.807Z","updated_at":"2021-09-30T09:28:04.807Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10940,"fairsharing_record_id":979,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:49:01.800Z","updated_at":"2023-09-27T14:49:01.800Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"962","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.582Z","metadata":{"doi":"10.25504/FAIRsharing.pjqe4x","name":"Graphics Interchange Format","status":"ready","homepage":"http://www.w3.org/Graphics/GIF/spec-gif87.txt","identifier":962,"description":"Graphics Interchange Format (GIF) is a standard for defining generalized color raster images. This format allows high-quality, high-resolution graphics to be displayed on a variety of graphics hardware and is intended as an exchange and display mechanism for graphics images. The format supports up to 8 bits per pixel for each image, allowing a single image to reference its own palette of up to 256 different colors chosen from the 24-bit RGB color space. It also supports animations and allows a separate palette of up to 256 colors for each frame. These palette limitations make the GIF format less suitable for reproducing color photographs and other images with continuous color, but it is well-suited for simpler images such as graphics or logos with solid areas of color.","abbreviation":"GIF","support_links":[{"url":"https://en.wikipedia.org/wiki/GIF","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":1987},"legacy_ids":["bsg-000236","bsg-s000236"],"name":"FAIRsharing record for: Graphics Interchange Format","abbreviation":"GIF","url":"https://fairsharing.org/10.25504/FAIRsharing.pjqe4x","doi":"10.25504/FAIRsharing.pjqe4x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Graphics Interchange Format (GIF) is a standard for defining generalized color raster images. This format allows high-quality, high-resolution graphics to be displayed on a variety of graphics hardware and is intended as an exchange and display mechanism for graphics images. The format supports up to 8 bits per pixel for each image, allowing a single image to reference its own palette of up to 256 different colors chosen from the 24-bit RGB color space. It also supports animations and allows a separate palette of up to 256 colors for each frame. These palette limitations make the GIF format less suitable for reproducing color photographs and other images with continuous color, but it is well-suited for simpler images such as graphics or logos with solid areas of color.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14734}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"963","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T21:38:34.000Z","updated_at":"2023-09-29T11:54:57.562Z","metadata":{"doi":"10.25504/FAIRsharing.3cfa81","name":"Linguistic Annotation Format (LAF)","status":"ready","contacts":[{"contact_name":"Nancy Ide","contact_email":"ide@cs.vassar.edu"}],"homepage":"https://www.iso.org/standard/37326.html","citations":[{"publication_id":2438}],"identifier":963,"description":"ISO 24612:2012 specifies a linguistic annotation framework (LAF) for representing linguistic annotations of language data such as corpora, speech signal and video. The framework includes an abstract data model and an XML serialization of that model for representing annotations of primary data. The serialization serves as a pivot format to allow annotations expressed in one representation format to be mapped onto another.","abbreviation":"ISO 24612:2012","support_links":[{"url":"kschoi@kaist.ac.kr","name":"TC Contact: Key-Sun Choi","type":"Support email"},{"url":"https://www.iso.org/contents/data/standard/03/73/37326.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2012},"legacy_ids":["bsg-001249","bsg-s001249"],"name":"FAIRsharing record for: Linguistic Annotation Format (LAF)","abbreviation":"ISO 24612:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.3cfa81","doi":"10.25504/FAIRsharing.3cfa81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24612:2012 specifies a linguistic annotation framework (LAF) for representing linguistic annotations of language data such as corpora, speech signal and video. The framework includes an abstract data model and an XML serialization of that model for representing annotations of primary data. The serialization serves as a pivot format to allow annotations expressed in one representation format to be mapped onto another.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2438,"pubmed_id":null,"title":"The Linguistic Annotation Framework: a standard for annotation interchange and merging","year":2014,"url":"https://link.springer.com/article/10.1007%2Fs10579-014-9268-1","authors":"Nancy Ide, Keith Suderman","journal":"Language and Resource Evaluation","doi":null,"created_at":"2021-09-30T08:26:59.102Z","updated_at":"2021-09-30T08:26:59.102Z"},{"id":2439,"pubmed_id":null,"title":"International standard for a linguistic annotation framework","year":2004,"url":"https://dl.acm.org/citation.cfm?id=1030320","authors":"L. Romary and N. Ide","journal":"Natural Language Engineering","doi":null,"created_at":"2021-09-30T08:26:59.211Z","updated_at":"2021-09-30T08:26:59.211Z"}],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":474,"relation":"undefined"}],"grants":[{"id":6518,"fairsharing_record_id":963,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:04.032Z","updated_at":"2021-09-30T09:28:04.032Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10917,"fairsharing_record_id":963,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:07:56.662Z","updated_at":"2023-09-27T14:07:56.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"964","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T19:41:24.000Z","updated_at":"2022-02-08T10:48:47.159Z","metadata":{"doi":"10.25504/FAIRsharing.b12145","name":"Multilingual Information Framework","status":"ready","contacts":[{"contact_name":"Eliza Margaretha","contact_email":"margaretha@ids-mannheim.de"}],"homepage":"https://clarin.ids-mannheim.de/standards/views/view-spec.xq;jsessionid=jztgj4dhx1r61eozukuitwsqt?id=SpecMLIF","citations":[],"identifier":964,"description":"MLIF provides a generic platform for modeling, managing, describing multilingual data within various applications in the following domains: localization, translation memories, multimedia, document management. It also specifies a metamodel and a set of generic data categories, which can be complemented by adding categories from Data Category Registry (DCR) with respect to the application domain.","abbreviation":"MLIF","year_creation":2012},"legacy_ids":["bsg-001253","bsg-s001253"],"name":"FAIRsharing record for: Multilingual Information Framework","abbreviation":"MLIF","url":"https://fairsharing.org/10.25504/FAIRsharing.b12145","doi":"10.25504/FAIRsharing.b12145","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MLIF provides a generic platform for modeling, managing, describing multilingual data within various applications in the following domains: localization, translation memories, multimedia, document management. It also specifies a metamodel and a set of generic data categories, which can be complemented by adding categories from Data Category Registry (DCR) with respect to the application domain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6519,"fairsharing_record_id":964,"organisation_id":1525,"relation":"maintains","created_at":"2021-09-30T09:28:04.069Z","updated_at":"2021-09-30T09:28:04.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"965","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.651Z","metadata":{"doi":"10.25504/FAIRsharing.nggj0j","name":"Joint Photographic Experts Group Format","status":"ready","homepage":"https://www.w3.org/Graphics/JPEG/","identifier":965,"description":"Joint Photographic Experts Group Format is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. JPEG JFIF, which is what people generally mean when they refer to \"JPEG\", is a file format created by the Independent JPEG Group (IJG) for the transport of single JPEG-compressed images. The JPEG compression format was standardised by ISO in August 1990 and commercial applications using it began to show up in 1991. The widely used IJG implementation was first publicly released in October 1991 and has been considerably developed since that time. JPEG JFIF images are widely used on the Web. The amount of compression can be adjusted to achieve the desired trade-off between file size and visual quality. Progressive JPEG is a means of reordering the information so that, after only a small part has been downloaded, a hazy view of the entire image is presented rather than a crisp view of just a small part. It is part of the original JPEG specification, but was not implemented in Web browsers until rather later on, around 1996. It is now fairly widely supported. Although the \"baseline\" variety of JPEG is believed patent-free, there are many patents associated with some optional features of JPEG, namely arithmetic coding and hierarchical storage. For this reason, these optional features are never used on the Web.","abbreviation":"JPEG Format","support_links":[{"url":"http://www.faqs.org/faqs/jpeg-faq/","name":"JPEG FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://en.wikipedia.org/wiki/JPEG#The_JPEG_standard","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":1990},"legacy_ids":["bsg-000241","bsg-s000241"],"name":"FAIRsharing record for: Joint Photographic Experts Group Format","abbreviation":"JPEG Format","url":"https://fairsharing.org/10.25504/FAIRsharing.nggj0j","doi":"10.25504/FAIRsharing.nggj0j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Joint Photographic Experts Group Format is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. JPEG JFIF, which is what people generally mean when they refer to \"JPEG\", is a file format created by the Independent JPEG Group (IJG) for the transport of single JPEG-compressed images. The JPEG compression format was standardised by ISO in August 1990 and commercial applications using it began to show up in 1991. The widely used IJG implementation was first publicly released in October 1991 and has been considerably developed since that time. JPEG JFIF images are widely used on the Web. The amount of compression can be adjusted to achieve the desired trade-off between file size and visual quality. Progressive JPEG is a means of reordering the information so that, after only a small part has been downloaded, a hazy view of the entire image is presented rather than a crisp view of just a small part. It is part of the original JPEG specification, but was not implemented in Web browsers until rather later on, around 1996. It is now fairly widely supported. Although the \"baseline\" variety of JPEG is believed patent-free, there are many patents associated with some optional features of JPEG, namely arithmetic coding and hierarchical storage. For this reason, these optional features are never used on the Web.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"966","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T21:19:15.000Z","updated_at":"2022-07-20T09:15:12.273Z","metadata":{"doi":"10.25504/FAIRsharing.2b4419","name":"XML Query Language","status":"ready","contacts":[{"contact_name":"Jonathan Robie","contact_email":"jonathan.robie@biblicalhumanities.org"}],"homepage":"https://www.w3.org/TR/xquery-3/","identifier":966,"description":"XML Query Language (XQuery) is a W3C query language which is designed to be broadly applicable across many types of XML data sources. XQuery is designed to be a language in which queries are concise and easily understood. It is also flexible enough to query a broad spectrum of XML information sources, including both databases and documents. The Query Working Group has identified a requirement for both a non-XML query syntax (XQuery) and an XML-based query syntax (XQueryX).","abbreviation":"XQuery","support_links":[{"url":"liam@w3.org","name":"XQuery Working Group Contact","type":"Support email"},{"url":"https://www.w3.org/XML/Query/","name":"News and Documentation","type":"Help documentation"},{"url":"https://www.w3.org/XML/Query/Overview.rss","name":"XQuery RSS Feed","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001287","bsg-s001287"],"name":"FAIRsharing record for: XML Query Language","abbreviation":"XQuery","url":"https://fairsharing.org/10.25504/FAIRsharing.2b4419","doi":"10.25504/FAIRsharing.2b4419","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Query Language (XQuery) is a W3C query language which is designed to be broadly applicable across many types of XML data sources. XQuery is designed to be a language in which queries are concise and easily understood. It is also flexible enough to query a broad spectrum of XML information sources, including both databases and documents. The Query Working Group has identified a requirement for both a non-XML query syntax (XQuery) and an XML-based query syntax (XQueryX).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":926,"relation":"undefined"}],"grants":[{"id":6520,"fairsharing_record_id":966,"organisation_id":3212,"relation":"maintains","created_at":"2021-09-30T09:28:04.112Z","updated_at":"2021-09-30T09:28:04.112Z","grant_id":null,"is_lead":true,"saved_state":{"id":3212,"name":"W3C XML Query Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"967","type":"fairsharing_records","attributes":{"created_at":"2020-11-17T19:31:18.000Z","updated_at":"2022-07-20T11:00:21.790Z","metadata":{"doi":"10.25504/FAIRsharing.e451d0","name":"Geoscience Markup Language","status":"ready","contacts":[{"contact_name":"Eric Boisvert","contact_email":"eric.boisvert2@canada.ca"}],"homepage":"http://geosciml.org/","identifier":967,"description":"Geoscience Markup Language (GeoSciML) covers the domain of geology (earth materials, geological units and stratigraphy, geological time, geological structures, geomorphology, geochemistry) and sampling features common to Geoscience, such as boreholes and geological specimens. The specification also proposes a simplified version of GeoSciML suitable for portrayal of geological features on digital maps. Within the OGC, this standard has the reference number OGC 16-008.","abbreviation":"GeoSciML","support_links":[{"url":"http://geosciml.org/news-archive.html","name":"News","type":"Blog/News"},{"url":"CGIsecretariat@mail.cgs.gov.cn","name":"CGI General Contact","type":"Support email"},{"url":"http://www.onegeology.org/docs/technical/OneGeologyWFSCookbook_v1.2.pdf","name":"How to Serve a GeoSciML WFS (PDF)","type":"Help documentation"},{"url":"http://www.onegeology.org/docs/technical/GeoSciML_Cookbook_1.2.1.pdf","name":"GeoSciML Cookbook (PDF)","type":"Help documentation"},{"url":"http://geosciml.org/doc/geosciml/4.1/documentation/html/","name":"UML","type":"Help documentation"},{"url":"https://external.ogc.org/twiki_public/GeoSciMLswg/WebHome","name":"GeoSciML Wiki","type":"Help documentation"},{"url":"https://portal.opengeospatial.org/files/?artifact_id=72895","name":"UML Summary (PDF)","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001541","bsg-s001541"],"name":"FAIRsharing record for: Geoscience Markup Language","abbreviation":"GeoSciML","url":"https://fairsharing.org/10.25504/FAIRsharing.e451d0","doi":"10.25504/FAIRsharing.e451d0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Geoscience Markup Language (GeoSciML) covers the domain of geology (earth materials, geological units and stratigraphy, geological time, geological structures, geomorphology, geochemistry) and sampling features common to Geoscience, such as boreholes and geological specimens. The specification also proposes a simplified version of GeoSciML suitable for portrayal of geological features on digital maps. Within the OGC, this standard has the reference number OGC 16-008.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geochemistry","Geology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Geomorphology","Stratigraphy"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2184,"relation":"undefined"}],"grants":[{"id":6521,"fairsharing_record_id":967,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:04.152Z","updated_at":"2021-09-30T09:28:04.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6522,"fairsharing_record_id":967,"organisation_id":564,"relation":"maintains","created_at":"2021-09-30T09:28:04.194Z","updated_at":"2021-09-30T09:28:04.194Z","grant_id":null,"is_lead":true,"saved_state":{"id":564,"name":"Commission for the Management and Application of Geoscience Information (CGI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"968","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-30T10:16:50.683Z","metadata":{"doi":"10.25504/FAIRsharing.d5vqn0","name":"Computational Neuroscience Ontology","status":"deprecated","contacts":[{"contact_name":"Yann Le Franc","contact_email":"ylefranc@gmail.com","contact_orcid":"0000-0003-4631-418X"}],"homepage":"https://github.com/INCF/Computational-Neurosciences-Ontology--C.N.O.-/wiki","citations":[],"identifier":968,"description":"CNO is a controlled vocabulary of terms used in Computational Neurosciences to describe models of the nervous system. This first release of CNO is an alpha version and should be further aligned with other ontologies accessible on Bioportal and should be made compliant with the OBO foundry recommendations. ","abbreviation":"CNO","support_links":[{"url":"https://github.com/INCF/Computational-Neurosciences-Ontology--C.N.O.-","name":"GitHub Repository","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CNO","name":"CNO","portal":"BioPortal"}],"deprecation_date":"2022-11-30","deprecation_reason":"This ontology has not been updated since 2015, and we could not contact the owner of the ontology. While it is still available for download (https://bioportal.bioontology.org/ontologies/CNO), we cannot make any statement about the level of reusability that it has. The information presented in this record was correct when the resource was under active development."},"legacy_ids":["bsg-002780","bsg-s002780"],"name":"FAIRsharing record for: Computational Neuroscience Ontology","abbreviation":"CNO","url":"https://fairsharing.org/10.25504/FAIRsharing.d5vqn0","doi":"10.25504/FAIRsharing.d5vqn0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CNO is a controlled vocabulary of terms used in Computational Neurosciences to describe models of the nervous system. This first release of CNO is an alpha version and should be further aligned with other ontologies accessible on Bioportal and should be made compliant with the OBO foundry recommendations. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Bioinformatics","Computational Neuroscience","Neuroscience"],"domains":["Network model","Modeling and simulation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","France"],"publications":[{"id":2432,"pubmed_id":null,"title":"Computational Neuroscience Ontology: a new tool to provide semantic meaning to your models","year":2012,"url":"http://doi.org/10.1186/1471-2202-13-S1-P149","authors":"Yann Le Franc, Andrew P Davison, Padraig Gleeson, Fahim T Imam, Birgit Kriener, Stephen D Larson, Subhasis Ray, Lars Schwabe, Sean Hill, and Erik De Schutter","journal":"BMC Neuroscience","doi":"10.1186/1471-2202-13-S1-P149","created_at":"2021-09-30T08:26:58.419Z","updated_at":"2021-09-30T08:26:58.419Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":350,"relation":"undefined"}],"grants":[{"id":6523,"fairsharing_record_id":968,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:28:04.232Z","updated_at":"2021-09-30T09:28:04.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"970","type":"fairsharing_records","attributes":{"created_at":"2018-08-13T21:40:18.000Z","updated_at":"2022-02-08T10:47:37.839Z","metadata":{"doi":"10.25504/FAIRsharing.7398d9","name":"Dublin Core Metadata Initiative Abstract Model","status":"ready","contacts":[{"contact_name":"Andy Powell","contact_email":"a.powell@ukoln.ac.uk"}],"homepage":"http://dublincore.org/documents/abstract-model/","identifier":970,"description":"DCAM describes the abstract model for the Dublin Core metadata. The primary purpose of this document is to specify the components and constructs used in Dublin Core metadata. It defines the nature of the components used and describes how those components are combined to create information structures. It provides an information model which is independent of any particular encoding syntax.","abbreviation":"DCAM","support_links":[{"url":"https://twitter.com/dublincore","name":"@dublincore","type":"Twitter"}],"year_creation":2005},"legacy_ids":["bsg-001233","bsg-s001233"],"name":"FAIRsharing record for: Dublin Core Metadata Initiative Abstract Model","abbreviation":"DCAM","url":"https://fairsharing.org/10.25504/FAIRsharing.7398d9","doi":"10.25504/FAIRsharing.7398d9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DCAM describes the abstract model for the Dublin Core metadata. The primary purpose of this document is to specify the components and constructs used in Dublin Core metadata. It defines the nature of the components used and describes how those components are combined to create information structures. It provides an information model which is independent of any particular encoding syntax.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17354}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Resource metadata","Free text","Image"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Sweden","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":536,"relation":"undefined"}],"grants":[{"id":6525,"fairsharing_record_id":970,"organisation_id":827,"relation":"maintains","created_at":"2021-09-30T09:28:04.311Z","updated_at":"2021-09-30T09:28:04.311Z","grant_id":null,"is_lead":true,"saved_state":{"id":827,"name":"Eduserv Foundation, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6526,"fairsharing_record_id":970,"organisation_id":1651,"relation":"maintains","created_at":"2021-09-30T09:28:04.362Z","updated_at":"2021-09-30T09:28:04.362Z","grant_id":null,"is_lead":true,"saved_state":{"id":1651,"name":"KTH Royal Institute of Technology, Stockholm, Sweden","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"971","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T21:00:28.000Z","updated_at":"2022-07-20T12:19:37.583Z","metadata":{"doi":"10.25504/FAIRsharing.86cf8a","name":"XML Path Language","status":"ready","contacts":[{"contact_name":"Jonathan Robie","contact_email":"jonathan.robie@emc.com"}],"homepage":"http://www.w3.org/TR/xpath-30/","identifier":971,"description":"The primary purpose of XPath is to address the nodes of XML trees. XPath gets its name from its use of a path notation for navigating through the hierarchical structure of an XML document. XPath uses a compact, non-XML syntax to facilitate use of XPath within URIs and XML attribute values. XPath operates on the abstract, logical structure of an XML document, rather than its surface syntax. XPath is designed to be embedded in a host language such as XSLT or XQuery.","abbreviation":"XPath","support_links":[{"url":"public-qt-comments@w3.org","name":"General Contact","type":"Support email"},{"url":"https://www.w3.org/Bugs/Public/","name":"W3C Issue Tracker","type":"Forum"}],"year_creation":1999},"legacy_ids":["bsg-001286","bsg-s001286"],"name":"FAIRsharing record for: XML Path Language","abbreviation":"XPath","url":"https://fairsharing.org/10.25504/FAIRsharing.86cf8a","doi":"10.25504/FAIRsharing.86cf8a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary purpose of XPath is to address the nodes of XML trees. XPath gets its name from its use of a path notation for navigating through the hierarchical structure of an XML document. XPath uses a compact, non-XML syntax to facilitate use of XPath within URIs and XML attribute values. XPath operates on the abstract, logical structure of an XML document, rather than its surface syntax. XPath is designed to be embedded in a host language such as XSLT or XQuery.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1046,"relation":"undefined"}],"grants":[{"id":6528,"fairsharing_record_id":971,"organisation_id":3212,"relation":"maintains","created_at":"2021-09-30T09:28:04.445Z","updated_at":"2021-09-30T09:28:04.445Z","grant_id":null,"is_lead":true,"saved_state":{"id":3212,"name":"W3C XML Query Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6527,"fairsharing_record_id":971,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:04.402Z","updated_at":"2021-09-30T09:28:04.402Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"972","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T10:50:56.424Z","metadata":{"doi":"10.25504/FAIRsharing.nesfnr","name":"Neglected Tropical Disease Ontology","status":"ready","contacts":[{"contact_name":"Filipe Santana","contact_email":"fss3@cin.ufpe.br"}],"homepage":"http://www.cin.ufpe.br/~ntdo","identifier":972,"description":"The Neglected Tropical Disease Ontology (NTDO) models Neglected Tropical Diseases (NTD), a specific set of diseases which persist among marginalized populations of the developing world. The NTDO focuses on vector-borne disease control as the transmission path, as this drives prevention strategies and decision support. NTDO includes information about the disease, its causative agents (when available), dispositions, and the geographic location the disease happens.","abbreviation":"NTDO","support_links":[{"url":"https://www.cin.ufpe.br/~ntdo","name":"Contact Form (via Contact Tab)","type":"Contact form"}],"year_creation":2012},"legacy_ids":["bsg-000785","bsg-s000785"],"name":"FAIRsharing record for: Neglected Tropical Disease Ontology","abbreviation":"NTDO","url":"https://fairsharing.org/10.25504/FAIRsharing.nesfnr","doi":"10.25504/FAIRsharing.nesfnr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neglected Tropical Disease Ontology (NTDO) models Neglected Tropical Diseases (NTD), a specific set of diseases which persist among marginalized populations of the developing world. The NTDO focuses on vector-borne disease control as the transmission path, as this drives prevention strategies and decision support. NTDO includes information about the disease, its causative agents (when available), dispositions, and the geographic location the disease happens.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine","Tropical Medicine"],"domains":["Tropical","Disease"],"taxonomies":["All"],"user_defined_tags":["tropical disease"],"countries":["Austria","Brazil","Germany"],"publications":[{"id":2202,"pubmed_id":21685092,"title":"Ontology patterns for tabular representations of biomedical knowledge on neglected tropical diseases.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr226","authors":"Santana F,Schober D,Medeiros Z,Freitas F,Schulz S","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr226","created_at":"2021-09-30T08:26:28.148Z","updated_at":"2021-09-30T08:26:28.148Z"},{"id":2229,"pubmed_id":23046681,"title":"Towards an ontological representation of morbidity and mortality in Description Logics.","year":2012,"url":"http://doi.org/10.1186/2041-1480-3-S2-S7","authors":"Santana F,Freitas F,Fernandes R,Medeiros Z,Schober D","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-3-S2-S7","created_at":"2021-09-30T08:26:31.209Z","updated_at":"2021-09-30T08:26:31.209Z"}],"licence_links":[],"grants":[{"id":6529,"fairsharing_record_id":972,"organisation_id":1343,"relation":"maintains","created_at":"2021-09-30T09:28:04.482Z","updated_at":"2021-09-30T09:28:04.482Z","grant_id":null,"is_lead":true,"saved_state":{"id":1343,"name":"Informatics Center, Federal University of Pernambuco (CIn/UFPE), Recife, Brazil","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"973","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:15:44.000Z","updated_at":"2022-12-13T10:25:14.621Z","metadata":{"doi":"10.25504/FAIRsharing.GPYJ4G","name":"IVOA Support Interfaces","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/VOSI/index.html","citations":[{"publication_id":2954}],"identifier":973,"description":"IVOA Support Interfaces (VOSI) describes the minimum interface that a web service requires to participate in the IVOA. Note that this is not required of standard VO services developed prior to this specification, although uptake is strongly encouraged on any subsequent revision. All new standard VO services, however, must feature a VOSI-compliant interface.","abbreviation":"VOSI","support_links":[{"url":"http://www.ivoa.net/documents/VOSI/20170524/REC-VOSI-1.1.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOSIHome","name":"VOSI Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001194","bsg-s001194"],"name":"FAIRsharing record for: IVOA Support Interfaces","abbreviation":"VOSI","url":"https://fairsharing.org/10.25504/FAIRsharing.GPYJ4G","doi":"10.25504/FAIRsharing.GPYJ4G","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IVOA Support Interfaces (VOSI) describes the minimum interface that a web service requires to participate in the IVOA. Note that this is not required of standard VO services developed prior to this specification, although uptake is strongly encouraged on any subsequent revision. All new standard VO services, however, must feature a VOSI-compliant interface.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11460}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2954,"pubmed_id":null,"title":"IVOA Support Interfaces Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0524G","authors":"Graham, Matthew; Rixon, Guy; Dowler, Patrick; Major, Brian; Grid; Web Services Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.091Z","updated_at":"2021-09-30T08:28:04.091Z"}],"licence_links":[],"grants":[{"id":6531,"fairsharing_record_id":973,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:04.538Z","updated_at":"2021-09-30T09:28:04.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6530,"fairsharing_record_id":973,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:04.515Z","updated_at":"2021-09-30T09:28:04.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"982","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-24T08:34:01.286Z","metadata":{"doi":"10.25504/FAIRsharing.v9n3gk","name":"Resource Description Framework Schema","status":"ready","contacts":[{"contact_name":"Dan Brickley","contact_email":"danbri@w3.org"},{"contact_name":"General Contact List","contact_email":"public-rdf-comments@w3.org","contact_orcid":null}],"homepage":"https://www.w3.org/TR/rdf-schema/","citations":[],"identifier":982,"description":"RDF Schema (RDFS) is the RDF vocabulary description language. RDFS defines classes and properties that may be used to describe classes, properties and other resources.","abbreviation":"RDFS","support_links":[{"url":"public-rdf-comments@w3.org","type":"Mailing list"},{"url":"https://www.w3.org/2001/sw/wiki/RDF1.1_Errata","name":"Errata","type":"Help documentation"},{"url":"https://lists.w3.org/Archives/Public/public-rdf-comments/","name":"Archives","type":"Help documentation"}],"year_creation":1997},"legacy_ids":["bsg-000283","bsg-s000283"],"name":"FAIRsharing record for: Resource Description Framework Schema","abbreviation":"RDFS","url":"https://fairsharing.org/10.25504/FAIRsharing.v9n3gk","doi":"10.25504/FAIRsharing.v9n3gk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDF Schema (RDFS) is the RDF vocabulary description language. RDFS defines classes and properties that may be used to describe classes, properties and other resources.","linked_records":[],"linking_records":[{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13284}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":3613,"relation":"applies_to_content"}],"grants":[{"id":11749,"fairsharing_record_id":982,"organisation_id":3206,"relation":"maintains","created_at":"2024-04-24T08:31:31.787Z","updated_at":"2024-04-24T08:31:31.787Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa29FIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--281958c8c1e9b3cb29b389db6001e72d59b753aa/Screenshot%20from%202024-04-24%2009-19-48.png?disposition=inline","exhaustive_licences":true}},{"id":"983","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:19.066Z","metadata":{"doi":"10.25504/FAIRsharing.jy3bvk","name":"Pediatric Terminology","status":"ready","contacts":[{"contact_name":"Ranjana Srivastava","contact_email":"srivastava_ranjana@bah.com"}],"homepage":"https://www.cancer.gov/research/resources/terminology/pediatric","identifier":983,"description":"Terms associated with pediatrics, representing information related to child health and development from pre-birth through 21 years of age; contributed by the National Institute of Child Health and Human Development.","abbreviation":"PedTerm","support_links":[{"url":"https://fr.slideshare.net/saharneama/pediatric-terminology","name":"Slideshare","type":"Help documentation"},{"url":"http://www.interpreterprep.com/PEDIATRIC_TERMINOLOGY.pdf","name":"Online pdf","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-002733","bsg-s002733"],"name":"FAIRsharing record for: Pediatric Terminology","abbreviation":"PedTerm","url":"https://fairsharing.org/10.25504/FAIRsharing.jy3bvk","doi":"10.25504/FAIRsharing.jy3bvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terms associated with pediatrics, representing information related to child health and development from pre-birth through 21 years of age; contributed by the National Institute of Child Health and Human Development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Pediatrics","Biomedical Science"],"domains":["Disease","Infant"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1788,"pubmed_id":24534404,"title":"Building a common pediatric research terminology for accelerating child health research.","year":2014,"url":"http://doi.org/10.1542/peds.2013-1504","authors":"Kahn MG,Bailey LC,Forrest CB,Padula MA,Hirschfeld S","journal":"Pediatrics","doi":"10.1542/peds.2013-1504","created_at":"2021-09-30T08:25:40.646Z","updated_at":"2021-09-30T08:25:40.646Z"}],"licence_links":[],"grants":[{"id":6549,"fairsharing_record_id":983,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:05.181Z","updated_at":"2021-09-30T09:28:05.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6547,"fairsharing_record_id":983,"organisation_id":36,"relation":"funds","created_at":"2021-09-30T09:28:05.125Z","updated_at":"2021-09-30T09:32:19.314Z","grant_id":1565,"is_lead":false,"saved_state":{"id":36,"name":"Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services, USA","grant":"R01HS020024-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6548,"fairsharing_record_id":983,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:05.158Z","updated_at":"2021-09-30T09:29:18.862Z","grant_id":191,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"UL1 TR000154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7971,"fairsharing_record_id":983,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:10.002Z","updated_at":"2021-09-30T09:30:10.041Z","grant_id":581,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN267200700020C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8044,"fairsharing_record_id":983,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:37.454Z","updated_at":"2021-09-30T09:30:37.509Z","grant_id":795,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN275200800018C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"984","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-07T16:03:50.955Z","metadata":{"doi":"10.25504/FAIRsharing.75r2zd","name":"Ontology of Clinical Research","status":"ready","contacts":[{"contact_name":"Ida Sim","contact_email":"ida.sim@ucsf.edu","contact_orcid":"0000-0002-1045-8459"}],"homepage":"https://sites.google.com/site/humanstudyome/home/ocre","citations":[],"identifier":984,"description":"OCRe is an OWL ontology designed to support the systematic description of, and interoperable queries on, human studies and study elements. Please note that, while this ontology is available for use, it is currently not being actively developed.","abbreviation":"OCRe","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCRE","name":"OCRE","portal":"BioPortal"}]},"legacy_ids":["bsg-000071","bsg-s000071"],"name":"FAIRsharing record for: Ontology of Clinical Research","abbreviation":"OCRe","url":"https://fairsharing.org/10.25504/FAIRsharing.75r2zd","doi":"10.25504/FAIRsharing.75r2zd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OCRe is an OWL ontology designed to support the systematic description of, and interoperable queries on, human studies and study elements. Please note that, while this ontology is available for use, it is currently not being actively developed.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17356},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12392}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Interoperability"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":9099,"fairsharing_record_id":984,"organisation_id":3035,"relation":"maintains","created_at":"2022-04-07T14:20:03.769Z","updated_at":"2022-04-07T14:20:03.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":3035,"name":"University of California, San Francisco, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"985","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2023-03-14T16:34:04.147Z","metadata":{"doi":"10.25504/FAIRsharing.zc2tfa","name":"Fanconi Anemia Ontology","status":"ready","contacts":[{"contact_name":"Erica Sanborn","contact_email":"esanborn@rockefeller.edu"}],"homepage":"http://lab.rockefeller.edu/smogorzewska/ifar/","citations":[],"identifier":985,"description":"An application ontology devoted to the standardized recording of data related to Fanconi Anemia (FA). This ontology was created using an OWL file provided by Dr. Ada Hamish (and Francois Schiettecatte) at the Centers for Mendelian Genetics, with their permission. Their original ontology can be found at: http://phenodb.net/help/features. Modifications were made using HPO, OMIM, NCI, and SNOMED. Novel classes pertaining to FA were added and defined as appropriate.","abbreviation":"IFAR","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IFAR","name":"IFAR","portal":"BioPortal"}]},"legacy_ids":["bsg-001070","bsg-s001070"],"name":"FAIRsharing record for: Fanconi Anemia Ontology","abbreviation":"IFAR","url":"https://fairsharing.org/10.25504/FAIRsharing.zc2tfa","doi":"10.25504/FAIRsharing.zc2tfa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology devoted to the standardized recording of data related to Fanconi Anemia (FA). This ontology was created using an OWL file provided by Dr. Ada Hamish (and Francois Schiettecatte) at the Centers for Mendelian Genetics, with their permission. Their original ontology can be found at: http://phenodb.net/help/features. Modifications were made using HPO, OMIM, NCI, and SNOMED. Novel classes pertaining to FA were added and defined as appropriate.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10407,"fairsharing_record_id":985,"organisation_id":3915,"relation":"undefined","created_at":"2023-03-14T16:33:24.463Z","updated_at":"2023-03-14T16:33:24.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":3915,"name":"Rockefeller University","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"986","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T12:30:38.000Z","updated_at":"2023-09-29T11:55:00.708Z","metadata":{"doi":"10.25504/FAIRsharing.fdc683","name":"Computer applications in terminology -- Terminological markup framework","status":"ready","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/56063.html","citations":[],"identifier":986,"description":"ISO 16642:2017 specifies a framework for representing data recorded in terminological data collections (TDCs). This framework includes a metamodel and methods for describing specific terminological markup languages (TMLs) expressed in XML. The mechanisms for implementing constraints in a TML are defined, but not the specific constraints for individual TMLs. ISO 16642:2017 is designed to support the development and use of computer applications for terminological data and the exchange of such data between different applications. This document also defines the conditions that allow the data expressed in one TML to be mapped onto another TML.","abbreviation":"ISO 16642:2017","support_links":[],"year_creation":2009},"legacy_ids":["bsg-001278","bsg-s001278"],"name":"FAIRsharing record for: Computer applications in terminology -- Terminological markup framework","abbreviation":"ISO 16642:2017","url":"https://fairsharing.org/10.25504/FAIRsharing.fdc683","doi":"10.25504/FAIRsharing.fdc683","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 16642:2017 specifies a framework for representing data recorded in terminological data collections (TDCs). This framework includes a metamodel and methods for describing specific terminological markup languages (TMLs) expressed in XML. The mechanisms for implementing constraints in a TML are defined, but not the specific constraints for individual TMLs. ISO 16642:2017 is designed to support the development and use of computer applications for terminological data and the exchange of such data between different applications. This document also defines the conditions that allow the data expressed in one TML to be mapped onto another TML.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":275,"relation":"undefined"}],"grants":[{"id":6553,"fairsharing_record_id":986,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:05.322Z","updated_at":"2021-09-30T09:28:05.322Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10935,"fairsharing_record_id":986,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:23:39.233Z","updated_at":"2023-09-27T14:23:39.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"993","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:53:29.000Z","updated_at":"2023-09-29T11:54:58.120Z","metadata":{"doi":"10.25504/FAIRsharing.e33260","name":"Language resource management -- Persistent identification and sustainable access (PISA)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37333.html","citations":[],"identifier":993,"description":"ISO 24619:2011 specifies requirements for the persistent identifier (PID) framework and for using PIDs for referencing and citing documents, files and language resources (e.g digital dictionaries, text corpora, linguistic annotated corpora). A PID is an electronic identification referring to or citing electronic documents, files, resources, resource collections such as books, articles, papers, images etc. ISO 24619:2011 also addresses issues of persistence and granularity of references to resources, first by requiring that persistent references be implemented by using a PID framework and further by imposing requirements on any PID frameworks used for this purpose.","abbreviation":"ISO 24619:2011","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37333.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2011},"legacy_ids":["bsg-001260","bsg-s001260"],"name":"FAIRsharing record for: Language resource management -- Persistent identification and sustainable access (PISA)","abbreviation":"ISO 24619:2011","url":"https://fairsharing.org/10.25504/FAIRsharing.e33260","doi":"10.25504/FAIRsharing.e33260","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24619:2011 specifies requirements for the persistent identifier (PID) framework and for using PIDs for referencing and citing documents, files and language resources (e.g digital dictionaries, text corpora, linguistic annotated corpora). A PID is an electronic identification referring to or citing electronic documents, files, resources, resource collections such as books, articles, papers, images etc. ISO 24619:2011 also addresses issues of persistence and granularity of references to resources, first by requiring that persistent references be implemented by using a PID framework and further by imposing requirements on any PID frameworks used for this purpose.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Resource metadata","Bibliography","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":285,"relation":"undefined"}],"grants":[{"id":6565,"fairsharing_record_id":993,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:05.760Z","updated_at":"2021-09-30T09:28:05.760Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10920,"fairsharing_record_id":993,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:11:19.943Z","updated_at":"2023-09-27T14:11:19.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"994","type":"fairsharing_records","attributes":{"created_at":"2018-08-16T22:39:31.000Z","updated_at":"2023-05-05T08:37:42.273Z","metadata":{"doi":"10.25504/FAIRsharing.9ee4cc","name":"Distributed Ontology, Model, and Specification Language","status":"ready","contacts":[{"contact_name":"General OMG Contact","contact_email":"info@omg.org"}],"homepage":"http://dol-omg.org/","citations":[],"identifier":994,"description":"The Distributed Ontology, Model and Specification Language (DOL) is an OMG standard. DOL aims at providing a unified metalanguage for: “as-is” use of ontologies, specifications, and models (OSMs), formulated in a specific language; OSMs formalised in heterogeneous logics; modular OSMs; mappings (interpretations, alignments, refinements, and others) between OSMs; and networks of OMS and mappings.","abbreviation":"DOL","support_links":[{"url":"https://issues.omg.org/issues/create-new-issue?specification=DOL%231.0","name":"Submit an Issue","type":"Forum"},{"url":"http://iws.cs.uni-magdeburg.de/~mossakow/papers/DOL-Manifesto.pdf","name":"DOL Manifesto","type":"Help documentation"},{"url":"http://iws.cs.uni-magdeburg.de/~mossakow/papers/Ontology-Patterns-with-DOWL-The-Case-of-Blending.pdf","name":"Ontology Patterns with DOWL: The Case of Blending","type":"Help documentation"},{"url":"http://www.iks.cs.ovgu.de/~till/papers/womo2013.pdf","name":"Overview of DOL syntax","type":"Help documentation"},{"url":"https://www.omg.org/spec/DOL/","name":"About the Specification","type":"Help documentation"},{"url":"https://github.com/tillmo/DOL","name":"GitHub Repository","type":"Github"},{"url":"http://esslli2016.unibz.it/?page_id=171","name":"DOL Tutorial 2016","type":"Training documentation"},{"url":"http://iws.cs.uni-magdeburg.de/~mossakow/papers/2015-09-21-DOL-tutorial.pdf","name":"DOL Tuturial 2015","type":"Training documentation"},{"url":"https://www.omg.org/spec/DOL","name":"DOL on OMG","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"http://wiki.dol-omg.org/index.php/Hets","name":"The Heterogneous Tool Set (Hets)"},{"url":"http://wiki.dol-omg.org/index.php/Emacs_mode","name":"emacs mode for DOL"}]},"legacy_ids":["bsg-001238","bsg-s001238"],"name":"FAIRsharing record for: Distributed Ontology, Model, and Specification Language","abbreviation":"DOL","url":"https://fairsharing.org/10.25504/FAIRsharing.9ee4cc","doi":"10.25504/FAIRsharing.9ee4cc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Distributed Ontology, Model and Specification Language (DOL) is an OMG standard. DOL aims at providing a unified metalanguage for: “as-is” use of ontologies, specifications, and models (OSMs), formulated in a specific language; OSMs formalised in heterogeneous logics; modular OSMs; mappings (interpretations, alignments, refinements, and others) between OSMs; and networks of OMS and mappings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OMG Terms and Conditions","licence_id":1054,"licence_url":"https://www.omg.org/legal/index.htm","link_id":3192,"relation":"applies_to_content"}],"grants":[{"id":6566,"fairsharing_record_id":994,"organisation_id":2209,"relation":"maintains","created_at":"2021-09-30T09:28:05.795Z","updated_at":"2021-09-30T09:28:05.795Z","grant_id":null,"is_lead":true,"saved_state":{"id":2209,"name":"Object Management Group (OMG), Massachusetts, United States","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"995","type":"fairsharing_records","attributes":{"created_at":"2018-10-12T20:00:59.000Z","updated_at":"2022-07-20T10:42:43.531Z","metadata":{"doi":"10.25504/FAIRsharing.32e620","name":"AGRIS Application Profile","status":"ready","contacts":[{"contact_name":"AGRIS General Contact","contact_email":"agris@fao.org"}],"homepage":"http://www.fao.org/docrep/008/ae909e/ae909e00.htm","identifier":995,"description":"The AGRIS Application Profile (AGRIS AP) is a metadata standard created specifically to enhance the description, exchange and subsequent retrieval of agricultural Document-Like Information Objects (DLIOs). It is a metadata schema which draws elements from well known Metadata standards such as Dublin Core (DC), Australian Government Locator Service Metadata (AGLS) and Agricultural Metadata Element Set (AgMES) namespaces. It allows sharing of information across dispersed bibliographic systems and provides guidelines on recommended best practices for cataloguing and subject indexing. The AGRIS AP is a major step towards exchanging high-quality and medium-complex metadata in an application independent format. The goal of the AGRIS Application Profile (AGRIS AP) is to facilitate interoperability of metadata formats currently in use to enable linking of various types of agricultural information, therefore allowing users to perform cross-searches and other value added services.","abbreviation":"AGRIS AP","year_creation":1998},"legacy_ids":["bsg-001324","bsg-s001324"],"name":"FAIRsharing record for: AGRIS Application Profile","abbreviation":"AGRIS AP","url":"https://fairsharing.org/10.25504/FAIRsharing.32e620","doi":"10.25504/FAIRsharing.32e620","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AGRIS Application Profile (AGRIS AP) is a metadata standard created specifically to enhance the description, exchange and subsequent retrieval of agricultural Document-Like Information Objects (DLIOs). It is a metadata schema which draws elements from well known Metadata standards such as Dublin Core (DC), Australian Government Locator Service Metadata (AGLS) and Agricultural Metadata Element Set (AgMES) namespaces. It allows sharing of information across dispersed bibliographic systems and provides guidelines on recommended best practices for cataloguing and subject indexing. The AGRIS AP is a major step towards exchanging high-quality and medium-complex metadata in an application independent format. The goal of the AGRIS Application Profile (AGRIS AP) is to facilitate interoperability of metadata formats currently in use to enable linking of various types of agricultural information, therefore allowing users to perform cross-searches and other value added services.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Fisheries Science","Environmental Science","Data Management","Agriculture"],"domains":["Cropping systems","Food","Curated information"],"taxonomies":["All"],"user_defined_tags":["Livestock"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6567,"fairsharing_record_id":995,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:05.838Z","updated_at":"2021-09-30T09:28:05.838Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"980","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T19:17:23.000Z","updated_at":"2022-02-08T10:49:43.126Z","metadata":{"doi":"10.25504/FAIRsharing.87b86e","name":"Guidelines for Electronic Text Encoding and Interchange","status":"ready","homepage":"https://www.tei-c.org/release/doc/tei-p5-doc/en/html/index.html","identifier":980,"description":"The Text Encoding and Interchange (TEI) Guidelines are an international and interdisciplinary standard used by libraries, museums, publishers, and academics to represent all kinds of literary and linguistic texts, using an encoding scheme that is maximally expressive and minimally obsolescent. They make recommendations about suitable ways of representing those features of textual resources which need to be identified explicitly in order to facilitate processing by computer programs. In particular, they specify a set of markers (or tags) which may be inserted in the electronic representation of the text, in order to mark the text structure and other features of interest.","abbreviation":"P5 TEI Guidelines","support_links":[{"url":"https://github.com/TEIC/TEI","name":"GitHub Repository","type":"Github"},{"url":"https://tei-c.org/guidelines/P5/","name":"General Information for P5 TEI Guidelines","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001275","bsg-s001275"],"name":"FAIRsharing record for: Guidelines for Electronic Text Encoding and Interchange","abbreviation":"P5 TEI Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.87b86e","doi":"10.25504/FAIRsharing.87b86e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Text Encoding and Interchange (TEI) Guidelines are an international and interdisciplinary standard used by libraries, museums, publishers, and academics to represent all kinds of literary and linguistic texts, using an encoding scheme that is maximally expressive and minimally obsolescent. They make recommendations about suitable ways of representing those features of textual resources which need to be identified explicitly in order to facilitate processing by computer programs. In particular, they specify a set of markers (or tags) which may be inserted in the electronic representation of the text, in order to mark the text structure and other features of interest.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13363},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13898}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Humanities","Social Science","Subject Agnostic","Linguistics"],"domains":["Resource metadata","Free text","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6539,"fairsharing_record_id":980,"organisation_id":2736,"relation":"maintains","created_at":"2021-09-30T09:28:04.831Z","updated_at":"2021-09-30T09:28:04.831Z","grant_id":null,"is_lead":true,"saved_state":{"id":2736,"name":"Text Encoding Initiative (TEI), Charlottesville, VA, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"981","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T09:42:12.000Z","updated_at":"2024-03-05T11:58:06.388Z","metadata":{"doi":"10.25504/FAIRsharing.af21db","name":"Compact URI","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"www-html-editor@w3.org"}],"homepage":"https://www.w3.org/TR/2010/NOTE-curie-20101216/","citations":[],"identifier":981,"description":"A CURIE (or Compact URI) defines a generic, abbreviated syntax for expressing Uniform Resource Identifiers (URIs). It is an abbreviated URI expressed in a compact syntax, and may be found in both XML and non-XML grammars.","abbreviation":"CURIE","support_links":[{"url":"www-html@w3.org","name":"Public discussion","type":"Support email"},{"url":"https://lists.w3.org/Archives/Public/www-html-editor/","name":"Mail Archives","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/CURIE","name":"Wikipedia","type":"Wikipedia"},{"url":"https://www.w3.org/TR/curie/","name":"CURIE Syntax","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://www.wikidata.org/wiki/Q1024551","name":"Wikidata","portal":"Other"}]},"legacy_ids":["bsg-001185","bsg-s001185"],"name":"FAIRsharing record for: Compact URI","abbreviation":"CURIE","url":"https://fairsharing.org/10.25504/FAIRsharing.af21db","doi":"10.25504/FAIRsharing.af21db","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A CURIE (or Compact URI) defines a generic, abbreviated syntax for expressing Uniform Resource Identifiers (URIs). It is an abbreviated URI expressed in a compact syntax, and may be found in both XML and non-XML grammars.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Data retrieval","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":512,"relation":"undefined"}],"grants":[{"id":6540,"fairsharing_record_id":981,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:04.859Z","updated_at":"2021-09-30T09:28:04.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6541,"fairsharing_record_id":981,"organisation_id":3210,"relation":"maintains","created_at":"2021-09-30T09:28:04.891Z","updated_at":"2021-09-30T09:28:04.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":3210,"name":"W3C XHTML2 Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"960","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:43.108Z","metadata":{"doi":"10.25504/FAIRsharing.mjnypw","name":"Units Ontology","status":"ready","contacts":[{"contact_name":"George Gkoutos","contact_email":"geg18@aber.ac.uk","contact_orcid":"0000-0002-2061-091X"}],"homepage":"https://github.com/bio-ontology-research-group/unit-ontology","identifier":960,"description":"The Units Ontology (UO) models metrical units for use in conjunction with PATO. Units are basic scientific tools that render meaning to numerical data. Their standardization and formalization caters for the report, exchange, process, reproducibility and integration of quantitative measurements. The Units Ontology is an ontology currently being used for the standardized description of units of measurements.","abbreviation":"UO","support_links":[{"url":"https://github.com/bio-ontology-research-group/unit-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://code.google.com/p/unit-ontology/","name":"Google Code documentation (obsolete)","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"http://isa-tools.org","name":"ISA Tools"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UO","name":"UO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/uo.html","name":"uo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002611","bsg-s002611"],"name":"FAIRsharing record for: Units Ontology","abbreviation":"UO","url":"https://fairsharing.org/10.25504/FAIRsharing.mjnypw","doi":"10.25504/FAIRsharing.mjnypw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Units Ontology (UO) models metrical units for use in conjunction with PATO. Units are basic scientific tools that render meaning to numerical data. Their standardization and formalization caters for the report, exchange, process, reproducibility and integration of quantitative measurements. The Units Ontology is an ontology currently being used for the standardized description of units of measurements.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18255},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10876},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11817},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12010},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17988}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Mathematics","Life Science"],"domains":["Unit","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Saudi Arabia","United Kingdom","United States"],"publications":[{"id":1666,"pubmed_id":23060432,"title":"The Units Ontology: a tool for integrating units of measurement in science.","year":2012,"url":"http://doi.org/10.1093/database/bas033","authors":"Gkoutos GV,Schofield PN,Hoehndorf R","journal":"Database (Oxford)","doi":"10.1093/database/bas033","created_at":"2021-09-30T08:25:26.580Z","updated_at":"2021-09-30T08:25:26.580Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":62,"relation":"undefined"}],"grants":[{"id":6510,"fairsharing_record_id":960,"organisation_id":271,"relation":"maintains","created_at":"2021-09-30T09:28:03.698Z","updated_at":"2021-09-30T09:28:03.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":271,"name":"Bio-Ontology Research Group, KAUST, Saudi Arabia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6516,"fairsharing_record_id":960,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:03.961Z","updated_at":"2021-09-30T09:31:39.593Z","grant_id":1271,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 HG004838-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6509,"fairsharing_record_id":960,"organisation_id":1959,"relation":"maintains","created_at":"2021-09-30T09:28:03.662Z","updated_at":"2021-09-30T09:28:03.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6511,"fairsharing_record_id":960,"organisation_id":699,"relation":"maintains","created_at":"2021-09-30T09:28:03.731Z","updated_at":"2021-09-30T09:28:03.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":699,"name":"Department of Computer Science, University of Aberystwyth","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6513,"fairsharing_record_id":960,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:03.828Z","updated_at":"2021-09-30T09:28:03.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6512,"fairsharing_record_id":960,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:03.755Z","updated_at":"2021-09-30T09:31:20.790Z","grant_id":1128,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"248502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6515,"fairsharing_record_id":960,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:03.911Z","updated_at":"2021-09-30T09:28:03.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11547,"fairsharing_record_id":960,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:41.613Z","updated_at":"2024-03-21T13:58:42.985Z","grant_id":37,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54-HG004028","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"961","type":"fairsharing_records","attributes":{"created_at":"2018-09-10T21:16:23.000Z","updated_at":"2022-02-08T10:50:14.905Z","metadata":{"doi":"10.25504/FAIRsharing.b9b728","name":"Extensible Stylesheet Language Transformations","status":"ready","contacts":[],"homepage":"https://www.w3.org/TR/xslt-30/","citations":[],"identifier":961,"description":"EXtensible Stylesheet Language Transformations is an XML-based programming language developed by the World Wide Web Consortium (W3C). This specification defines the syntax and semantics of XSLT 3.0, a language designed primarily for transforming XML documents into other XML documents.","abbreviation":"XSLT","support_links":[{"url":"https://github.com/w3c/qtspecs/issues","name":"Feedback, comments, error reports","type":"Contact form"}],"year_creation":1999},"legacy_ids":["bsg-001290","bsg-s001290"],"name":"FAIRsharing record for: Extensible Stylesheet Language Transformations","abbreviation":"XSLT","url":"https://fairsharing.org/10.25504/FAIRsharing.b9b728","doi":"10.25504/FAIRsharing.b9b728","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EXtensible Stylesheet Language Transformations is an XML-based programming language developed by the World Wide Web Consortium (W3C). This specification defines the syntax and semantics of XSLT 3.0, a language designed primarily for transforming XML documents into other XML documents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6517,"fairsharing_record_id":961,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:03.994Z","updated_at":"2021-09-30T09:28:03.994Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"987","type":"fairsharing_records","attributes":{"created_at":"2016-03-21T12:59:45.000Z","updated_at":"2022-07-20T09:39:52.412Z","metadata":{"doi":"10.25504/FAIRsharing.e20vsd","name":"DatA Tag Suite","status":"ready","contacts":[{"contact_name":"Susanna Sansone","contact_email":"sa.sansone@gmail.com","contact_orcid":"0000-0001-5306-5690"}],"homepage":"https://github.com/biocaddie/WG3-MetadataSpecifications","citations":[],"identifier":987,"description":"DatA Tag Suite (DATS) is the model developed by the NIH BD2K bioCADDIE project (http://biocaddie.org) for the DataMed Data Discovery Index prototype being developed. DataMed is for data what PubMed has been for scientific literature and DATS is defined as similar to the JATS format.","abbreviation":"DATS","support_links":[{"url":"http://www.biocaddie.org/workgroup-3-group-links","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000643","bsg-s000643"],"name":"FAIRsharing record for: DatA Tag Suite","abbreviation":"DATS","url":"https://fairsharing.org/10.25504/FAIRsharing.e20vsd","doi":"10.25504/FAIRsharing.e20vsd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DatA Tag Suite (DATS) is the model developed by the NIH BD2K bioCADDIE project (http://biocaddie.org) for the DataMed Data Discovery Index prototype being developed. DataMed is for data what PubMed has been for scientific literature and DATS is defined as similar to the JATS format.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11207},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13327}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom","United States"],"publications":[{"id":1003,"pubmed_id":null,"title":"WG3-MetadataSpecifications: NIH BD2K bioCADDIE Data Discovery Index WG3 Metadata Specification v1","year":2015,"url":"http://doi.org/10.5281/zenodo.28019","authors":"WG3 Members","journal":"Zenodo","doi":"10.5281/zenodo.28019","created_at":"2021-09-30T08:24:11.004Z","updated_at":"2021-09-30T08:24:11.004Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":565,"relation":"undefined"}],"grants":[{"id":6554,"fairsharing_record_id":987,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:05.353Z","updated_at":"2021-09-30T09:29:40.002Z","grant_id":350,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U24AI117966-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1024","type":"fairsharing_records","attributes":{"created_at":"2015-06-10T10:38:01.000Z","updated_at":"2022-07-20T11:19:52.440Z","metadata":{"doi":"10.25504/FAIRsharing.hzdzq8","name":"Schema.org","status":"ready","contacts":[{"contact_name":"Community Group","contact_email":"public-schemaorg@w3.org"}],"homepage":"http://schema.org/","identifier":1024,"description":"Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet. In addition to people from the sponsoring companies, there is substantial participation by the larger web community, through public mailing lists such as public-vocabs@w3.org and through GitHub. Search engines including Bing, Google, Yahoo! and Yandex rely on schema.org markup to improve the display of search results, making it easier for people to find the right web pages. Since April 2015, the W3C Schema.org Community Group is the main forum for schema collaboration, and provides the public-schemaorg@w3.org mailing list for discussions.","abbreviation":"Schema.org","support_links":[{"url":"http://blog.schema.org","type":"Blog/News"},{"url":"https://lists.w3.org/Archives/Public/public-vocabs/","type":"Mailing list"},{"url":"https://lists.w3.org/Archives/Public/public-schemaorg/","type":"Mailing list"},{"url":"http://github.com/schemaorg/schemaorg","type":"Github"},{"url":"http://schema.org/docs/documents.html","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000593","bsg-s000593"],"name":"FAIRsharing record for: Schema.org","abbreviation":"Schema.org","url":"https://fairsharing.org/10.25504/FAIRsharing.hzdzq8","doi":"10.25504/FAIRsharing.hzdzq8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Schema.org is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet. In addition to people from the sponsoring companies, there is substantial participation by the larger web community, through public mailing lists such as public-vocabs@w3.org and through GitHub. Search engines including Bing, Google, Yahoo! and Yandex rely on schema.org markup to improve the display of search results, making it easier for people to find the right web pages. Since April 2015, the W3C Schema.org Community Group is the main forum for schema collaboration, and provides the public-schemaorg@w3.org mailing list for discussions.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18276},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11202},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12941},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13332},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13335},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13357},{"linking_record_name":"Mapping CDC to OpenAIRE, B2find, schema.org and Dublin Core","linking_record_id":3646,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13370}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 United States (CC BY-SA 3.0 US)","licence_id":193,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/us/","link_id":233,"relation":"undefined"},{"licence_name":"schema.org Terms of Service","licence_id":730,"licence_url":"http://schema.org/docs/terms.html","link_id":232,"relation":"undefined"}],"grants":[{"id":6629,"fairsharing_record_id":1024,"organisation_id":2503,"relation":"maintains","created_at":"2021-09-30T09:28:08.146Z","updated_at":"2021-09-30T09:28:08.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":2503,"name":"Schema.org","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1025","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-01-06T09:09:26.147Z","metadata":{"doi":"10.25504/FAIRsharing.nft558","name":"Plant Diversity Ontology","status":"deprecated","contacts":[{"contact_name":"Ma Yumeng, Huang Jinxia, Liu Fenghong,Xu Zheping, Guo Jinjing, Cui Jinzhong, Sun Tan","contact_email":"openresources@mail.las.ac.cn"}],"homepage":"http://gooa.las.ac.cn/external/index.jsp","citations":[],"identifier":1025,"description":"Plant Diversity Ontology (PDO) is the outcome of the construction tasks of domain ontology of science in the project of Scientific \u0026 Technological Knowledge Organization Systems (STKOS). The structure of PDO centers on species, including micro level of molecular, cell and tissue, medium level of plant organs, species and population, and macro level of ecosystem. The classes of PDO also capture the habitat, environmental conditions and expand the general characteristics of plants, completing the instances richness for plant species, geographical, classification and morphology. Furthermore, PDO builds the relationships among species, region, morphology, plant organs, developmental stage, revealing the list of species in an area, the morphology and life form of plants, and development process of species. In sum, PDO shows a growth process or development stage of a species and its structure characteristics in particular space and time scale, realizing the description of species diversity, ecosystem diversity and genetic diversity. At present, PDO has been applied to the platform of Go to Selected Open Access Journals (GoOA) developed by National Science Library of Chinese Academy of Sciences, supporting concept retrieval and concept extension for GoOA.","abbreviation":"PDO_CAS","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDO_CAS","name":"PDO_CAS","portal":"BioPortal"}],"deprecation_date":"2022-01-05","deprecation_reason":"The homepage for this resource does not point to the ontology itself, and no suitable homepage can be found. Please let us know if you have any new information regarding this resource."},"legacy_ids":["bsg-001072","bsg-s001072"],"name":"FAIRsharing record for: Plant Diversity Ontology","abbreviation":"PDO_CAS","url":"https://fairsharing.org/10.25504/FAIRsharing.nft558","doi":"10.25504/FAIRsharing.nft558","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Plant Diversity Ontology (PDO) is the outcome of the construction tasks of domain ontology of science in the project of Scientific \u0026 Technological Knowledge Organization Systems (STKOS). The structure of PDO centers on species, including micro level of molecular, cell and tissue, medium level of plant organs, species and population, and macro level of ecosystem. The classes of PDO also capture the habitat, environmental conditions and expand the general characteristics of plants, completing the instances richness for plant species, geographical, classification and morphology. Furthermore, PDO builds the relationships among species, region, morphology, plant organs, developmental stage, revealing the list of species in an area, the morphology and life form of plants, and development process of species. In sum, PDO shows a growth process or development stage of a species and its structure characteristics in particular space and time scale, realizing the description of species diversity, ecosystem diversity and genetic diversity. At present, PDO has been applied to the platform of Go to Selected Open Access Journals (GoOA) developed by National Science Library of Chinese Academy of Sciences, supporting concept retrieval and concept extension for GoOA.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1026","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:24:27.000Z","updated_at":"2022-07-18T15:44:35.410Z","metadata":{"doi":"10.25504/FAIRsharing.f09f1f","name":"Ontology Integration and Interoperability","status":"deprecated","contacts":[{"contact_name":"Eliza Margaretha","contact_email":"margaretha@ids-mannheim.de"}],"homepage":"https://clarin.ids-mannheim.de/standards/views/view-spec.xq;jsessionid=jztgj4dhx1r61eozukuitwsqt?id=SpecOntoIOp","citations":[],"identifier":1026,"description":"The standard provides the guidelines for ontological modularity and structuring mechanisms within an ontology.","abbreviation":"OntolOp ISO/NP 17347","support_links":[{"url":"banski@ids-mannheim.de","name":"Piotr Banski","type":"Support email"}],"year_creation":2011,"deprecation_date":"2022-07-18","deprecation_reason":"Although associated with the ISO TC 37 with the identifier ISO/NP 17347, this resource has since been abandoned by this ISO technical committee (see https://genorma.com/en/project/show/iso:proj:59599 for further details)."},"legacy_ids":["bsg-001258","bsg-s001258"],"name":"FAIRsharing record for: Ontology Integration and Interoperability","abbreviation":"OntolOp ISO/NP 17347","url":"https://fairsharing.org/10.25504/FAIRsharing.f09f1f","doi":"10.25504/FAIRsharing.f09f1f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The standard provides the guidelines for ontological modularity and structuring mechanisms within an ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1027","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-08T09:24:21.287Z","metadata":{"doi":"10.25504/FAIRsharing.ret599","name":"Syndromic Surveillance Ontology","status":"deprecated","contacts":[{"contact_name":"Anya Okhmatovskaia","contact_email":"anna.okhmatovskaia@mcgill.ca"}],"homepage":"http://surveillance.mcgill.ca/projects/sso/","citations":[],"identifier":1027,"description":"Most syndromic surveillance systems use data from ED visits, often free-text chief complaints. Classification of chief complaints into syndromes is often inconsistent, due to the lack of agreement about the concepts that define a syndrome and how individual terms or strings map to these concepts. The Syndromic Surveillance Ontology addresses this problem by formally encoding a set of consensus definitions for syndromes in terms of ED chief complaints in a standard shareable format. The goal of the project is to ensure that consensus syndrome definitions are disseminated broadly, maintained collaboratively, and incorporated easily into automated systems.","abbreviation":"SSO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SSO","name":"SSO","portal":"BioPortal"}],"deprecation_date":"2023-09-14","deprecation_reason":"The resource homepage no longer exists, and a new homepage cannot be found. The resource may still be downloaded from BioPortal, as shown in this record, however it has not been updated since 2009."},"legacy_ids":["bsg-002635","bsg-s002635"],"name":"FAIRsharing record for: Syndromic Surveillance Ontology","abbreviation":"SSO","url":"https://fairsharing.org/10.25504/FAIRsharing.ret599","doi":"10.25504/FAIRsharing.ret599","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Most syndromic surveillance systems use data from ED visits, often free-text chief complaints. Classification of chief complaints into syndromes is often inconsistent, due to the lack of agreement about the concepts that define a syndrome and how individual terms or strings map to these concepts. The Syndromic Surveillance Ontology addresses this problem by formally encoding a set of consensus definitions for syndromes in terms of ED chief complaints in a standard shareable format. The goal of the project is to ensure that consensus syndrome definitions are disseminated broadly, maintained collaboratively, and incorporated easily into automated systems.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12464}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Taxonomic classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan","United States"],"publications":[],"licence_links":[],"grants":[{"id":6631,"fairsharing_record_id":1027,"organisation_id":2669,"relation":"maintains","created_at":"2021-09-30T09:28:08.279Z","updated_at":"2021-09-30T09:28:08.279Z","grant_id":null,"is_lead":false,"saved_state":{"id":2669,"name":"Surveillance Lab, McGill University, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6632,"fairsharing_record_id":1027,"organisation_id":3115,"relation":"associated_with","created_at":"2021-09-30T09:28:08.312Z","updated_at":"2022-01-16T08:42:35.794Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":6630,"fairsharing_record_id":1027,"organisation_id":2039,"relation":"maintains","created_at":"2021-09-30T09:28:08.178Z","updated_at":"2021-09-30T09:28:08.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":2039,"name":"National Institutes of Informatics (NII), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1028","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.715Z","metadata":{"doi":"10.25504/FAIRsharing.8a7a0w","name":"verteberate Homologous Organ Groups","status":"ready","contacts":[{"contact_name":"Bgee team","contact_email":"Bgee@sib.swiss"}],"homepage":"http://bioportal.bioontology.org/ontologies/VHOG?p=summary","identifier":1028,"description":"vHOG is a multi-species anatomical ontology for the vertebrate lineage, developed as part of the Bgee project. A mapping to species-specific anatomical ontologies is also provided. This mapping represents homology-strict relationships, in the sense of HOM:0000007 historical homology. Each mapping has been manually reviewed, and we provide confidence codes and references when available.","abbreviation":"vHOG","year_creation":2011,"cross_references":[{"url":"http://www.obofoundry.org/ontology/vhog.html","name":"vhog","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000018","bsg-s000018"],"name":"FAIRsharing record for: verteberate Homologous Organ Groups","abbreviation":"vHOG","url":"https://fairsharing.org/10.25504/FAIRsharing.8a7a0w","doi":"10.25504/FAIRsharing.8a7a0w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: vHOG is a multi-species anatomical ontology for the vertebrate lineage, developed as part of the Bgee project. A mapping to species-specific anatomical ontologies is also provided. This mapping represents homology-strict relationships, in the sense of HOM:0000007 historical homology. Each mapping has been manually reviewed, and we provide confidence codes and references when available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Homologous","Organ","Life cycle stage"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":2462,"pubmed_id":22285560,"title":"vHOG, a multispecies vertebrate ontology of homologous organs groups.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts048","authors":"Niknejad A,Comte A,Parmentier G,Roux J,Bastian FB,Robinson-Rechavi M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts048","created_at":"2021-09-30T08:27:01.961Z","updated_at":"2021-09-30T08:27:01.961Z"}],"licence_links":[],"grants":[{"id":6633,"fairsharing_record_id":1028,"organisation_id":209,"relation":"maintains","created_at":"2021-09-30T09:28:08.349Z","updated_at":"2021-09-30T09:28:08.349Z","grant_id":null,"is_lead":false,"saved_state":{"id":209,"name":"BGEE administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6634,"fairsharing_record_id":1028,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:08.391Z","updated_at":"2021-09-30T09:28:08.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1029","type":"fairsharing_records","attributes":{"created_at":"2019-07-04T13:33:22.000Z","updated_at":"2022-07-20T11:38:36.540Z","metadata":{"doi":"10.25504/FAIRsharing.ba7c93","name":"CARARE Metadata Schema","status":"ready","contacts":[],"homepage":"https://pro.carare.eu/en/introduction-carare-aggregation-services/carare-metadata-schema/","citations":[],"identifier":1029,"description":"The CARARE metadata schema is a harvesting schema intended for delivering metadata about an organisation’s online collections, heritage assets and their digital resources. The strength of the schema lies with its ability to support the full range of descriptive information about monuments, building, landscape areas and their representations. The CARARE metadata schema builds on existing standards and best practice from a number of different countries in Europe and the rest of the world.","abbreviation":null,"support_links":[{"url":"https://pro.carare.eu/documents/8/the_carare_metadata_schema2.pdf","name":"The CARARE metadata schema, v.2.0","type":"Help documentation"},{"url":"https://pro.carare.eu/en/introduction-carare-aggregation-services/carare-metadata-schema/#header-3-1","name":"Schema elements","type":"Help documentation"},{"url":"https://pro.carare.eu/en/introduction-carare-aggregation-services/carare-metadata-schema/#header-2-1","name":"Schema Background","type":"Help documentation"},{"url":"https://pro.carare.eu/documents/10/carare_metadata_schema_outline_v1.1_1_.pdf","name":"https://pro.carare.eu/documents/10/carare_metadata_schema_outline_v1.1_1_.pdf","type":"Help documentation"}]},"legacy_ids":["bsg-001386","bsg-s001386"],"name":"FAIRsharing record for: CARARE Metadata Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ba7c93","doi":"10.25504/FAIRsharing.ba7c93","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CARARE metadata schema is a harvesting schema intended for delivering metadata about an organisation’s online collections, heritage assets and their digital resources. The strength of the schema lies with its ability to support the full range of descriptive information about monuments, building, landscape areas and their representations. The CARARE metadata schema builds on existing standards and best practice from a number of different countries in Europe and the rest of the world.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Archaeology","Culture","Architecture","History","Construction History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Ireland"],"publications":[{"id":3206,"pubmed_id":null,"title":"CARARE 2.0: A metadata schema for 3D cultural objects","year":2014,"url":"http://dx.doi.org/10.1109/DigitalHeritage.2013.6744745","authors":"D'Andrea, Andrea; Fernie, Kate; ","journal":"2013 Digital Heritage International Congress (DigitalHeritage)","doi":"10.1109/digitalheritage.2013.6744745","created_at":"2022-02-01T14:59:05.270Z","updated_at":"2022-02-01T14:59:05.270Z"}],"licence_links":[],"grants":[{"id":6635,"fairsharing_record_id":1029,"organisation_id":372,"relation":"maintains","created_at":"2021-09-30T09:28:08.428Z","updated_at":"2021-09-30T09:28:08.428Z","grant_id":null,"is_lead":true,"saved_state":{"id":372,"name":"CARARE, Dublin, Ireland","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1012","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:54:17.452Z","metadata":{"doi":"10.25504/FAIRsharing.4dvtcz","name":"Cell Line Ontology","status":"ready","contacts":[{"contact_name":"Sirarat Sarntivijai","contact_email":"Sirarat.Sarntivijai@fda.hhs.gov","contact_orcid":"0000-0002-2548-641X"}],"homepage":"https://github.com/CLO-ontology/CLO","citations":[{"doi":"10.1186/2041-1480-5-37","pubmed_id":25852852,"publication_id":980}],"identifier":1012,"description":"The Cell Line Ontology (CLO) is a community-driven ontology that is developed to standardize and integrate cell line information and support computer-assisted reasoning. Thousands of cell lines have been artificially developed and used for different applications. Integration of data from multiple sources is a challenge, confounded by lack of consistent naming conventions, contamination of cell lines, and provision of the same cell lines by multiple commercial sources but with different biological attributes. CLO is a community-based effort to represent all cell lines in a standard ontology approach.","abbreviation":"CLO","support_links":[{"url":"Yongqunh@med.umich.edu","name":"Yongqunh@med.umich.edu","type":"Support email"},{"url":"https://github.com/CLO-ontology/CLO/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://groups.google.com/forum/#!forum/clo-discuss","name":"Google Groups Forum","type":"Forum"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CLO","name":"CLO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/clo.html","name":"clo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002627","bsg-s002627"],"name":"FAIRsharing record for: Cell Line Ontology","abbreviation":"CLO","url":"https://fairsharing.org/10.25504/FAIRsharing.4dvtcz","doi":"10.25504/FAIRsharing.4dvtcz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Line Ontology (CLO) is a community-driven ontology that is developed to standardize and integrate cell line information and support computer-assisted reasoning. Thousands of cell lines have been artificially developed and used for different applications. Integration of data from multiple sources is a challenge, confounded by lack of consistent naming conventions, contamination of cell lines, and provision of the same cell lines by multiple commercial sources but with different biological attributes. CLO is a community-based effort to represent all cell lines in a standard ontology approach.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18257},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10880},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11282},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12029},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16927}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Cell Biology"],"domains":["Cell line","Cell","Morphology"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":980,"pubmed_id":25852852,"title":"CLO: The cell line ontology.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-37","authors":"Sarntivijai S,Lin Y,Xiang Z,Meehan TF,Diehl AD,Vempati UD,Schurer SC,Pang C,Malone J,Parkinson H,Liu Y,Takatsuki T,Saijo K,Masuya H,Nakamura Y,Brush MH,Haendel MA,Zheng J,Stoeckert CJ,Peters B,Mungall CJ,Carey TE,States DJ,Athey BD,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-37","created_at":"2021-09-30T08:24:08.446Z","updated_at":"2021-09-30T08:24:08.446Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1564,"relation":"undefined"}],"grants":[{"id":6602,"fairsharing_record_id":1012,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:28:07.166Z","updated_at":"2021-09-30T09:28:07.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6603,"fairsharing_record_id":1012,"organisation_id":395,"relation":"maintains","created_at":"2021-09-30T09:28:07.206Z","updated_at":"2021-09-30T09:28:07.206Z","grant_id":null,"is_lead":true,"saved_state":{"id":395,"name":"Cell Line Ontology (CLO) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6604,"fairsharing_record_id":1012,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:28:07.249Z","updated_at":"2021-09-30T09:32:27.162Z","grant_id":1626,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"200754 Gen2Phen","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6596,"fairsharing_record_id":1012,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:06.927Z","updated_at":"2021-09-30T09:28:06.927Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6598,"fairsharing_record_id":1012,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:28:06.998Z","updated_at":"2021-09-30T09:28:06.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6600,"fairsharing_record_id":1012,"organisation_id":250,"relation":"maintains","created_at":"2021-09-30T09:28:07.069Z","updated_at":"2021-09-30T09:28:07.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6601,"fairsharing_record_id":1012,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:07.116Z","updated_at":"2021-09-30T09:29:34.586Z","grant_id":308,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R24OD011883","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6597,"fairsharing_record_id":1012,"organisation_id":1965,"relation":"funds","created_at":"2021-09-30T09:28:06.959Z","updated_at":"2021-09-30T09:29:51.836Z","grant_id":440,"is_lead":false,"saved_state":{"id":1965,"name":"National Center for Integrative Biomedical Informatics (NCBCS), Ann Arbor, MI, USA","grant":"U54 DA021519","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6599,"fairsharing_record_id":1012,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:28:07.036Z","updated_at":"2021-09-30T09:32:28.020Z","grant_id":1632,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"grants 1R01AI081062 (YH)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8470,"fairsharing_record_id":1012,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:47.569Z","updated_at":"2021-09-30T09:32:47.624Z","grant_id":1780,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01GM093132-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1013","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.505Z","metadata":{"doi":"10.25504/FAIRsharing.xeh248","name":"Ontology for Genetic Disease Investigations","status":"ready","contacts":[{"contact_name":"Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"https://code.google.com/archive/p/ogsf/","identifier":1013,"description":"This ontology is used to model scientific investigation, especially Genome-Wide Association Studies (GWAS), to discover genetic susceptibility factors to disease, such as Diabetes. It models the genetic variants, polymorphisms, statistical measurement, populations and other elements that are essential to determine a genetic susceptibility factor in GWAS study. It must be used with other two ontologies, in the case of Diabetes: Ontology of Geographical Region (OGR) and Ontology of Glucose Metabolism (OGMD). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","abbreviation":"OGDI","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php#ontology","name":"He Group Ontology page","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGDI","name":"OGDI","portal":"BioPortal"}]},"legacy_ids":["bsg-002613","bsg-s002613"],"name":"FAIRsharing record for: Ontology for Genetic Disease Investigations","abbreviation":"OGDI","url":"https://fairsharing.org/10.25504/FAIRsharing.xeh248","doi":"10.25504/FAIRsharing.xeh248","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is used to model scientific investigation, especially Genome-Wide Association Studies (GWAS), to discover genetic susceptibility factors to disease, such as Diabetes. It models the genetic variants, polymorphisms, statistical measurement, populations and other elements that are essential to determine a genetic susceptibility factor in GWAS study. It must be used with other two ontologies, in the case of Diabetes: Ontology of Geographical Region (OGR) and Ontology of Glucose Metabolism (OGMD). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Statistics","Biomedical Science"],"domains":["Genetic polymorphism","Assay","Genome","Sequence variant","Genome-wide association study","Diabetes mellitus"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":449,"pubmed_id":24963371,"title":"The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-19","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-19","created_at":"2021-09-30T08:23:08.751Z","updated_at":"2021-09-30T08:23:08.751Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1600,"relation":"undefined"}],"grants":[{"id":6605,"fairsharing_record_id":1013,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:07.286Z","updated_at":"2021-09-30T09:28:07.286Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6606,"fairsharing_record_id":1013,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:07.323Z","updated_at":"2021-09-30T09:30:30.674Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1014","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:43.897Z","metadata":{"doi":"10.25504/FAIRsharing.zsnv69","name":"Multiple alignment","status":"deprecated","contacts":[{"contact_name":"Julie Thompson","contact_email":"julie@igbmc.u-strasbg.fr"}],"homepage":"http://bioportal.bioontology.org/ontologies/1026","identifier":1014,"description":"MAO is an ontology for multiple alignments of nucleic and protein sequences. MAO is designed to improve interoperation and data sharing between different alignment protocols for the construction of a high quality, reliable multiple alignment in order to facilitate knowledge extraction and the presentation of the most pertinent information to the biologist.","abbreviation":"MAO","cross_references":[{"url":"http://www.obofoundry.org/ontology/mao.html","name":"mao","portal":"OBO Foundry"}],"deprecation_date":"2016-05-06","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found. The OBO Foundry has listed this resource as deprecated."},"legacy_ids":["bsg-002608","bsg-s002608"],"name":"FAIRsharing record for: Multiple alignment","abbreviation":"MAO","url":"https://fairsharing.org/10.25504/FAIRsharing.zsnv69","doi":"10.25504/FAIRsharing.zsnv69","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MAO is an ontology for multiple alignments of nucleic and protein sequences. MAO is designed to improve interoperation and data sharing between different alignment protocols for the construction of a high quality, reliable multiple alignment in order to facilitate knowledge extraction and the presentation of the most pertinent information to the biologist.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Nucleic acid sequence","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":984,"pubmed_id":16043635,"title":"MAO: a Multiple Alignment Ontology for nucleic acid and protein sequences.","year":2005,"url":"http://doi.org/10.1093/nar/gki735","authors":"Thompson JD,Holbrook SR,Katoh K,Koehl P,Moras D,Westhof E,Poch O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki735","created_at":"2021-09-30T08:24:08.894Z","updated_at":"2021-09-30T11:28:56.534Z"}],"licence_links":[],"grants":[{"id":6608,"fairsharing_record_id":1014,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:28:07.404Z","updated_at":"2021-09-30T09:28:07.404Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6607,"fairsharing_record_id":1014,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:28:07.365Z","updated_at":"2021-09-30T09:28:07.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1015","type":"fairsharing_records","attributes":{"created_at":"2018-04-09T15:22:43.000Z","updated_at":"2022-04-11T12:07:33.800Z","metadata":{"doi":"10.25504/FAIRsharing.kK7dbW","name":"Neuroscience Information Exchange Format","status":"ready","contacts":[{"contact_name":"Thomas Wachtler","contact_email":"info@g-node.org","contact_orcid":"0000-0003-2015-6590"}],"homepage":"https://g-node.github.io/nix/","identifier":1015,"description":"NIX defines a data model for annotated scientific datasets, i.e. data together with metadata, and a corresponding file format based on HDF5 for storing and sharing such datasets. In particular, this format was developed for storing electrophysiology and other neuroscience data together with their metadata. However, the data model is also able to represent other kinds of data used in the field e.g. image data or image stacks.","abbreviation":"NIX","support_links":[{"url":"nix@g-node.org","name":"NIX support","type":"Support email"},{"url":"http://g-node.github.io/nixpy/","name":"NIX Python Binding Documentation and Tutorials","type":"Github"}],"year_creation":2013,"associated_tools":[{"url":"https://github.com/G-Node/nixpy/releases/latest","name":"NIX Python bindings latest"},{"url":"https://github.com/G-Node/nix-mx/releases/latest","name":"NIX Matlab bindings latest"},{"url":"https://github.com/bendalab/NixView/releases/tag/version_0.1","name":"NIX Viewer 0.1"}]},"legacy_ids":["bsg-001169","bsg-s001169"],"name":"FAIRsharing record for: Neuroscience Information Exchange Format","abbreviation":"NIX","url":"https://fairsharing.org/10.25504/FAIRsharing.kK7dbW","doi":"10.25504/FAIRsharing.kK7dbW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIX defines a data model for annotated scientific datasets, i.e. data together with metadata, and a corresponding file format based on HDF5 for storing and sharing such datasets. In particular, this format was developed for storing electrophysiology and other neuroscience data together with their metadata. However, the data model is also able to represent other kinds of data used in the field e.g. image data or image stacks.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18310},{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12387}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Health Science","Neuroscience"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics"],"countries":["Germany"],"publications":[{"id":2071,"pubmed_id":null,"title":"File format and library for neuroscience data and metadata","year":2014,"url":"http://doi.org/10.3389/conf.fninf.2014.18.00027","authors":"Stoewer A, Kellner CJ, Benda J, Wachtler T, Grewe J","journal":"Front. Neuroinform. Conference Abstract: Neuroinformatics 2014","doi":"10.3389/conf.fninf.2014.18.00027","created_at":"2021-09-30T08:26:13.482Z","updated_at":"2021-09-30T08:26:13.482Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2344,"relation":"undefined"},{"licence_name":"NIX-specific BSD 3-clause license","licence_id":591,"licence_url":"https://github.com/G-Node/nix/blob/master/LICENSE","link_id":2343,"relation":"undefined"}],"grants":[{"id":6610,"fairsharing_record_id":1015,"organisation_id":1730,"relation":"maintains","created_at":"2021-09-30T09:28:07.464Z","updated_at":"2021-09-30T09:28:07.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":1730,"name":"Ludwig-Maximilians-Universitt Mnchen, Department Biologie II, Division of Neurobiology, Munich, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9345,"fairsharing_record_id":1015,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.923Z","updated_at":"2022-04-11T12:07:31.941Z","grant_id":1519,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ1302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9370,"fairsharing_record_id":1015,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.774Z","updated_at":"2022-04-11T12:07:33.790Z","grant_id":1587,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GQ0801","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1016","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:08:17.971Z","metadata":{"doi":"10.25504/FAIRsharing.4gwycd","name":"Just Enough Results Model Ontology","status":"ready","contacts":[{"contact_name":"Katy Wolstencroft","contact_email":"kwolstencroft@cs.man.ac.uk","contact_orcid":"0000-0002-1279-5133"}],"homepage":"https://jermontology.org/","identifier":1016,"description":"The JERM provides a framework to describe SEEK assets and the relationships between assets and the experiments that created them. All assets are related to the scientists that created them and the projects they originate from, so the model captures provenance information as well as physical links between assets. JERM definitions for each type of data in SEEK is different, but highly overlapping and they comply with existing minimal information guidelines where they are available.","abbreviation":"JERM","support_links":[{"url":"https://fair-dom.org/contact","name":"Contact","type":"Contact form"},{"url":"stuart.owen@manchester.ac.uk","name":"Stuart Owen","type":"Support email"},{"url":"olga.krebs@h-its.org","name":"Olga Krebs","type":"Support email"},{"url":"https://github.com/FAIRdom/JERMOntology/issues","name":"GitHub Issue","type":"Github"},{"url":"https://github.com/FAIRdom/JERMOntology","name":"GitHub Project","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/JERM","name":"JERM","portal":"BioPortal"}]},"legacy_ids":["bsg-002663","bsg-s002663"],"name":"FAIRsharing record for: Just Enough Results Model Ontology","abbreviation":"JERM","url":"https://fairsharing.org/10.25504/FAIRsharing.4gwycd","doi":"10.25504/FAIRsharing.4gwycd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JERM provides a framework to describe SEEK assets and the relationships between assets and the experiments that created them. All assets are related to the scientists that created them and the projects they originate from, so the model captures provenance information as well as physical links between assets. JERM definitions for each type of data in SEEK is different, but highly overlapping and they comply with existing minimal information guidelines where they are available.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11171}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Experimental measurement","Biological sample","Assay","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1692,"relation":"undefined"}],"grants":[{"id":6612,"fairsharing_record_id":1016,"organisation_id":3078,"relation":"maintains","created_at":"2021-09-30T09:28:07.518Z","updated_at":"2021-09-30T09:28:07.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":3078,"name":"University of Leiden, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6615,"fairsharing_record_id":1016,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:07.628Z","updated_at":"2021-09-30T09:28:07.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6613,"fairsharing_record_id":1016,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:07.548Z","updated_at":"2021-09-30T09:28:07.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6614,"fairsharing_record_id":1016,"organisation_id":1231,"relation":"maintains","created_at":"2021-09-30T09:28:07.590Z","updated_at":"2021-09-30T09:28:07.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":1231,"name":"Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9364,"fairsharing_record_id":1016,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.297Z","updated_at":"2022-04-11T12:07:33.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1005","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:43:47.000Z","updated_at":"2023-09-29T11:54:58.289Z","metadata":{"doi":"10.25504/FAIRsharing.0ade3e","name":"Document management -- Electronic document file format for long-term preservation -- Part 1: Use of PDF 1.4 (PDF/A-1)","status":"ready","contacts":[{"contact_name":"Betsy Fanning","contact_email":"betsy.fanning@3dPDFconsortium.org"}],"homepage":"https://www.iso.org/standard/38920.html","citations":[],"identifier":1005,"description":"ISO 19005-1:2005 specifies how to use the Portable Document Format (PDF) 1.4 for long-term preservation of electronic documents. It is applicable to documents containing combinations of character, raster and vector data.","abbreviation":"ISO 19005-1:2005","support_links":[{"url":"http://www.pdf-tools.com/public/downloads/whitepapers/Whitepaper-PDFA-Standard-ISO-19005-US.pdf","name":"document","type":"Help documentation"},{"url":"https://www.iso.org/contents/data/standard/03/89/38920.detail.rss","name":"RSS Feed: Updates","type":"Blog/News"}],"year_creation":2005},"legacy_ids":["bsg-001259","bsg-s001259"],"name":"FAIRsharing record for: Document management -- Electronic document file format for long-term preservation -- Part 1: Use of PDF 1.4 (PDF/A-1)","abbreviation":"ISO 19005-1:2005","url":"https://fairsharing.org/10.25504/FAIRsharing.0ade3e","doi":"10.25504/FAIRsharing.0ade3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19005-1:2005 specifies how to use the Portable Document Format (PDF) 1.4 for long-term preservation of electronic documents. It is applicable to documents containing combinations of character, raster and vector data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Resource metadata","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["Data persistence"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":452,"relation":"undefined"}],"grants":[{"id":10922,"fairsharing_record_id":1005,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:14:03.206Z","updated_at":"2023-09-27T14:14:03.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6585,"fairsharing_record_id":1005,"organisation_id":1525,"relation":"maintains","created_at":"2021-09-30T09:28:06.535Z","updated_at":"2021-09-30T09:28:06.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1006","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:40.160Z","metadata":{"doi":"10.25504/FAIRsharing.x81wz8","name":"Healthcare Common Procedure Coding System","status":"ready","contacts":[{"contact_name":"Cynthia Hake","contact_email":"Cynthia.Hake@cms.hhs.gov"}],"homepage":"https://www.cms.gov/medicare/coding/medhcpcsgeninfo/index.html","identifier":1006,"description":"Each year, in the United States, health care insurers process over 5 billion claims for payment. For Medicare and other health insurance programs to ensure that these claims are processed in an orderly and consistent manner, standardized coding systems are essential. The HCPCS is divided into two principal subsystems, referred to as level I and level II of the HCPCS. Level I of the HCPCS is comprised of CPT (Current Procedural Terminology), a numeric coding system maintained by the American Medical Association (AMA). Level II of the HCPCS is a standardized coding system that is used primarily to identify products, supplies, and services not included in the CPT codes, such as ambulance services and durable medical equipment, prosthetics, orthotics, and supplies (DMEPOS) when used outside a physician's office.","abbreviation":"HCPCS","support_links":[{"url":"https://www.cms.gov/Medicare/Coding/MedHCPCSGenInfo/HCPCS_Coding_Questions.html","name":"HCPCS Coding Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/MLNProducts/Downloads/How-To-Use-NCCI-Tools.pdf","type":"Help documentation"},{"url":"https://www.cms.gov/Medicare/Coding/MedHCPCSGenInfo/HCPCSPublicMeetings.html","name":"HCPCS Public Meetings","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HCPCS","name":"HCPCS","portal":"BioPortal"}]},"legacy_ids":["bsg-002684","bsg-s002684"],"name":"FAIRsharing record for: Healthcare Common Procedure Coding System","abbreviation":"HCPCS","url":"https://fairsharing.org/10.25504/FAIRsharing.x81wz8","doi":"10.25504/FAIRsharing.x81wz8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Each year, in the United States, health care insurers process over 5 billion claims for payment. For Medicare and other health insurance programs to ensure that these claims are processed in an orderly and consistent manner, standardized coding systems are essential. The HCPCS is divided into two principal subsystems, referred to as level I and level II of the HCPCS. Level I of the HCPCS is comprised of CPT (Current Procedural Terminology), a numeric coding system maintained by the American Medical Association (AMA). Level II of the HCPCS is a standardized coding system that is used primarily to identify products, supplies, and services not included in the CPT codes, such as ambulance services and durable medical equipment, prosthetics, orthotics, and supplies (DMEPOS) when used outside a physician's office.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Business Administration","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6586,"fairsharing_record_id":1006,"organisation_id":443,"relation":"maintains","created_at":"2021-09-30T09:28:06.571Z","updated_at":"2021-09-30T09:28:06.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":443,"name":"Centers for Medicare \u0026 Medicaid Services (CMS), Department of Health and Human Services (HHS), Baltimore, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1007","type":"fairsharing_records","attributes":{"created_at":"2021-06-01T21:32:12.000Z","updated_at":"2024-06-06T08:16:22.093Z","metadata":{"doi":"10.25504/FAIRsharing.5d2dbc","name":"Plasma Metadata Schema","status":"ready","contacts":[{"contact_name":"Markus Becker","contact_email":"markus.becker@inp-greifswald.de","contact_orcid":"0000-0001-9324-3236"}],"homepage":"https://www.plasma-mds.org","citations":[{"doi":"10.1038/s41597-020-00771-0","pubmed_id":33335096,"publication_id":2357}],"identifier":1007,"description":"The Plasma Metadata Schema is a list of core metadata properties chosen for the accurate and consistent description of research data in the field of low-temperature plasma physics and plasma medicine.","abbreviation":"Plasma-MDS","support_links":[{"url":"https://github.com/plasma-mds/plasma-metadata-schema","type":"Github"}],"year_creation":2019},"legacy_ids":["bsg-001614","bsg-s001614"],"name":"FAIRsharing record for: Plasma Metadata Schema","abbreviation":"Plasma-MDS","url":"https://fairsharing.org/10.25504/FAIRsharing.5d2dbc","doi":"10.25504/FAIRsharing.5d2dbc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plasma Metadata Schema is a list of core metadata properties chosen for the accurate and consistent description of research data in the field of low-temperature plasma physics and plasma medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Atomic, Molecular, Optical and Plasma Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Plasma Physics"],"countries":["Germany"],"publications":[{"id":2357,"pubmed_id":33335096,"title":"Plasma-MDS, a metadata schema for plasma science with examples from plasma technology.","year":2020,"url":"http://doi.org/10.1038/s41597-020-00771-0","authors":"Steffen Franke, Lucian Paulet, Jan Schafer, Deborah O'Connell, Markus M. Becker","journal":"Sci. Data","doi":"10.1038/s41597-020-00771-0","created_at":"2021-09-30T08:26:49.753Z","updated_at":"2021-09-30T08:26:49.753Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":347,"relation":"undefined"},{"licence_name":"Plasma-MDS Privacy Policy","licence_id":930,"licence_url":"https://www.plasma-mds.org/policy.html","link_id":2666,"relation":"applies_to_content"},{"licence_name":"Plasma-NDS Legal Notice","licence_id":931,"licence_url":"https://www.plasma-mds.org/legal.html","link_id":2665,"relation":"applies_to_content"}],"grants":[{"id":10033,"fairsharing_record_id":1007,"organisation_id":2471,"relation":"associated_with","created_at":"2022-10-13T09:43:41.249Z","updated_at":"2022-10-13T09:43:41.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":2471,"name":"Ruhr-Universitat Bochum","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10034,"fairsharing_record_id":1007,"organisation_id":749,"relation":"funds","created_at":"2022-10-13T09:43:41.355Z","updated_at":"2022-10-13T09:43:41.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10035,"fairsharing_record_id":1007,"organisation_id":1698,"relation":"associated_with","created_at":"2022-10-13T09:43:41.462Z","updated_at":"2022-10-13T09:43:41.462Z","grant_id":null,"is_lead":false,"saved_state":{"id":1698,"name":"Leibniz Institute for Plasma Science and Technology","types":["Research institute"],"is_lead":false,"relation":"associated_with"}},{"id":9365,"fairsharing_record_id":1007,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.349Z","updated_at":"2022-04-11T12:07:33.367Z","grant_id":24,"is_lead":false,"saved_state":{"id":333,"name":"Federal Ministry of Education and Research","grant":"16QK03A","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9371,"fairsharing_record_id":1007,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.857Z","updated_at":"2022-04-11T12:07:33.873Z","grant_id":1677,"is_lead":false,"saved_state":{"id":333,"name":"Federal Ministry of Education and Research","grant":"16FDM005","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1008","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.448Z","metadata":{"doi":"10.25504/FAIRsharing.rvssy8","name":"Terminology of Anatomy of Human Histology","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1535","identifier":1008,"description":"\"Terminology of Anatomy of Human Histology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1535. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Histology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"TAHH","deprecation_date":"2016-05-05","deprecation_reason":"This resource has been deprecated."},"legacy_ids":["bsg-002689","bsg-s002689"],"name":"FAIRsharing record for: Terminology of Anatomy of Human Histology","abbreviation":"TAHH","url":"https://fairsharing.org/10.25504/FAIRsharing.rvssy8","doi":"10.25504/FAIRsharing.rvssy8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Terminology of Anatomy of Human Histology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1535. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Histology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Biomedical Science"],"domains":["Histology"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[],"grants":[{"id":6588,"fairsharing_record_id":1008,"organisation_id":3057,"relation":"undefined","created_at":"2021-09-30T09:28:06.655Z","updated_at":"2021-09-30T09:28:06.655Z","grant_id":null,"is_lead":false,"saved_state":{"id":3057,"name":"University of Fribourg, Switzerland","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1009","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T19:45:16.000Z","updated_at":"2023-09-29T11:54:58.898Z","metadata":{"doi":"10.25504/FAIRsharing.8fe1f1","name":"Language resource management -- Word segmentation of written texts -- Part 1: Basic concepts and general principles","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/41665.html","citations":[],"identifier":1009,"description":"ISO 24614-1:2010 presents the basic concepts and general principles of word segmentation, and provides language-independent guidelines to enable written texts to be segmented, in a reliable and reproducible manner, into word segmentation units (WSU). The many applications and fields that need to segment texts into words — and thus to which ISO 24614-1:2010 can be applied — include translation, content management, speech technologies, computational linguistics and lexicography. There are two additional parts to this standard.","abbreviation":"ISO 24614-1:2010","support_links":[{"url":"https://www.iso.org/contents/data/standard/04/16/41665.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2010},"legacy_ids":["bsg-001283","bsg-s001283"],"name":"FAIRsharing record for: Language resource management -- Word segmentation of written texts -- Part 1: Basic concepts and general principles","abbreviation":"ISO 24614-1:2010","url":"https://fairsharing.org/10.25504/FAIRsharing.8fe1f1","doi":"10.25504/FAIRsharing.8fe1f1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24614-1:2010 presents the basic concepts and general principles of word segmentation, and provides language-independent guidelines to enable written texts to be segmented, in a reliable and reproducible manner, into word segmentation units (WSU). The many applications and fields that need to segment texts into words — and thus to which ISO 24614-1:2010 can be applied — include translation, content management, speech technologies, computational linguistics and lexicography. There are two additional parts to this standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Database Management","Linguistics"],"domains":["Free text"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":458,"relation":"undefined"}],"grants":[{"id":6589,"fairsharing_record_id":1009,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:06.693Z","updated_at":"2021-09-30T09:28:06.693Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10926,"fairsharing_record_id":1009,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:17:33.191Z","updated_at":"2023-09-27T14:17:33.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1010","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:45.000Z","updated_at":"2024-03-21T13:58:12.934Z","metadata":{"doi":"10.25504/FAIRsharing.72mafs","name":"LINCS Pilot Phase 1 Metadata Standards: Antibody Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":1010,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor).","abbreviation":"LINCS 1: Antibody Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_AntibodyReagents_Metadata_Release_Oct-12-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2016-08-10","deprecation_reason":"This standard was a pilot study for the LINC2 Antibody Reagents standard (https://biosharing.org/bsg-s000657) and as such has been superseded by this standard."},"legacy_ids":["bsg-000667","bsg-s000667"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: Antibody Reagents","abbreviation":"LINCS 1: Antibody Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.72mafs","doi":"10.25504/FAIRsharing.72mafs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor).","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11898}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6591,"fairsharing_record_id":1010,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:06.749Z","updated_at":"2021-09-30T09:28:06.749Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11543,"fairsharing_record_id":1010,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:12.899Z","updated_at":"2024-03-21T13:58:12.899Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"999","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-03T10:55:23.942Z","metadata":{"doi":"10.25504/FAIRsharing.yr61md","name":"CDISC Define eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/define-xml","citations":[],"identifier":999,"description":"Define-XML transmits metadata that describes any tabular dataset structure. When used with the CDISC content standards, it provides the metadata for human and animal model datasets using the SDTM and/or SEND standards and analysis datasets using ADaM. Define-XML is required by the United States Food and Drug Administration (FDA) and the Japanese Pharmaceuticals and Medical Devices Agency (PMDA) for every study in each electronic submission to inform the regulators which datasets, variables, controlled terms, and other specified metadata were used.","abbreviation":"CDISC Define-XML","support_links":[{"url":"https://www.cdisc.org/education/course/define-xml","name":"Define-XML","type":"Training documentation"}]},"legacy_ids":["bsg-000116","bsg-s000116"],"name":"FAIRsharing record for: CDISC Define eXtensible Markup Language","abbreviation":"CDISC Define-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.yr61md","doi":"10.25504/FAIRsharing.yr61md","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Define-XML transmits metadata that describes any tabular dataset structure. When used with the CDISC content standards, it provides the metadata for human and animal model datasets using the SDTM and/or SEND standards and analysis datasets using ADaM. Define-XML is required by the United States Food and Drug Administration (FDA) and the Japanese Pharmaceuticals and Medical Devices Agency (PMDA) for every study in each electronic submission to inform the regulators which datasets, variables, controlled terms, and other specified metadata were used.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17393},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11275},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11807},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11975},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12423}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6575,"fairsharing_record_id":999,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:06.189Z","updated_at":"2021-09-30T09:28:06.189Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6573,"fairsharing_record_id":999,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:28:06.072Z","updated_at":"2021-09-30T09:28:06.072Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6574,"fairsharing_record_id":999,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:06.109Z","updated_at":"2021-09-30T09:28:06.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6576,"fairsharing_record_id":999,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:28:06.227Z","updated_at":"2021-09-30T09:28:06.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1000","type":"fairsharing_records","attributes":{"created_at":"2018-08-14T22:43:48.000Z","updated_at":"2023-09-29T11:55:03.601Z","metadata":{"name":"Management of terminology resources -- Data category specifications","status":"in_development","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/69550.html","citations":[],"identifier":1000,"description":"ISO 12620 is under development, with its previously-releases version 12620:2009 now withdrawn. ISO 12620 will provide similar guidelines to the earlier version, which dealt with constraints related to the implementation of a Data Category Registry (DCR) applicable to all types of language resources, for example, terminological, lexicographical, corpus-based, machine translation, etc. It specifies mechanisms for creating, selecting and maintaining data categories, as well as an interchange format for representing them.","abbreviation":"ISO/PRF 12620","support_links":[{"url":"https://www.iso.org/standard/37243.html","name":"Previous (ISO 12620:2009) version","type":"Help documentation"},{"url":"https://www.iso.org/contents/data/standard/06/95/69550.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1999},"legacy_ids":["bsg-001235","bsg-s001235"],"name":"FAIRsharing record for: Management of terminology resources -- Data category specifications","abbreviation":"ISO/PRF 12620","url":"https://fairsharing.org/fairsharing_records/1000","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 12620 is under development, with its previously-releases version 12620:2009 now withdrawn. ISO 12620 will provide similar guidelines to the earlier version, which dealt with constraints related to the implementation of a Data Category Registry (DCR) applicable to all types of language resources, for example, terminological, lexicographical, corpus-based, machine translation, etc. It specifies mechanisms for creating, selecting and maintaining data categories, as well as an interchange format for representing them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Resource metadata","Cognition"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Switzerland","Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":927,"relation":"undefined"}],"grants":[{"id":6577,"fairsharing_record_id":1000,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:06.263Z","updated_at":"2021-09-30T09:28:06.263Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10948,"fairsharing_record_id":1000,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:52:51.914Z","updated_at":"2023-09-27T14:52:51.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1001","type":"fairsharing_records","attributes":{"created_at":"2018-08-12T09:09:29.000Z","updated_at":"2022-02-08T10:47:19.575Z","metadata":{"doi":"10.25504/FAIRsharing.9682e6","name":"Codes for the Human Analysis of Transcripts","status":"ready","contacts":[{"contact_name":"Brian MacWhiney","contact_email":"macw@cmu.edu"}],"homepage":"https://talkbank.org/manuals/CHAT.pdf","citations":[],"identifier":1001,"description":"Codes for the Human Analysis of Transcripts (CHAT) is a common transcriptional format for children's language transcription. CHAT is supported by many tools used in child language research. The CHAT system provides a standardized format for producing computerized transcripts of face-to-face conversational interactions. These interactions may involve children and parents, doctors and patients, or teachers and second-language learners. Despite the differences between these interactions, there are enough common features to allow for the creation of a single general transcription system. T","abbreviation":"CHAT","support_links":[{"url":"https://youtu.be/kUq33_KapgI","name":"Creating a CHAT file from scratch","type":"Help documentation"},{"url":"https://childes.talkbank.org/","name":"CHILDES Resources","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001231","bsg-s001231"],"name":"FAIRsharing record for: Codes for the Human Analysis of Transcripts","abbreviation":"CHAT","url":"https://fairsharing.org/10.25504/FAIRsharing.9682e6","doi":"10.25504/FAIRsharing.9682e6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Codes for the Human Analysis of Transcripts (CHAT) is a common transcriptional format for children's language transcription. CHAT is supported by many tools used in child language research. The CHAT system provides a standardized format for producing computerized transcripts of face-to-face conversational interactions. These interactions may involve children and parents, doctors and patients, or teachers and second-language learners. Despite the differences between these interactions, there are enough common features to allow for the creation of a single general transcription system. T","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation","Cognition","Transcript"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":831,"relation":"undefined"}],"grants":[{"id":6578,"fairsharing_record_id":1001,"organisation_id":2753,"relation":"maintains","created_at":"2021-09-30T09:28:06.300Z","updated_at":"2021-09-30T09:28:06.300Z","grant_id":null,"is_lead":true,"saved_state":{"id":2753,"name":"The CHILDES Project, Pittsburg, United States","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6579,"fairsharing_record_id":1001,"organisation_id":377,"relation":"maintains","created_at":"2021-09-30T09:28:06.333Z","updated_at":"2021-09-30T09:28:06.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":377,"name":"Carnegie Mellon University, Pittsburg, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1002","type":"fairsharing_records","attributes":{"created_at":"2018-09-10T20:49:05.000Z","updated_at":"2022-07-20T09:06:39.429Z","metadata":{"name":"W3C XML Schema Definition Language Part 1: Structures","status":"ready","contacts":[{"contact_name":"Shudi (Sandy) Gao","contact_email":"sandygao@ca.ibm.com"}],"homepage":"https://www.w3.org/TR/xmlschema11-1/","identifier":1002,"description":"XML Schema Definition Language (XSD): Structures is to define the nature of XSD schemas and their component parts, provide an inventory of XML markup constructs with which to represent schemas, and define the application of schemas to XML documents. XML Schema 1.1 (in two parts) is a W3C Recommendation. It is intended to be mostly compatible with XML Schema 1.0 and to have approximately the same scope, but also to fix bugs and make whatever improvements we can, consistent with the constraints on scope and compatibility. The two parts are: XML Schema 1.1 Part 2: Datatypes, and XML Schema 1.1 Part 1: Structures.","abbreviation":"XSD","support_links":[{"url":"www-xml-schema-comments@w3.org","name":"W3C XML Schema Comments","type":"Support email"}],"year_creation":2001},"legacy_ids":["bsg-001288","bsg-s001288"],"name":"FAIRsharing record for: W3C XML Schema Definition Language Part 1: Structures","abbreviation":"XSD","url":"https://fairsharing.org/fairsharing_records/1002","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XML Schema Definition Language (XSD): Structures is to define the nature of XSD schemas and their component parts, provide an inventory of XML markup constructs with which to represent schemas, and define the application of schemas to XML documents. XML Schema 1.1 (in two parts) is a W3C Recommendation. It is intended to be mostly compatible with XML Schema 1.0 and to have approximately the same scope, but also to fix bugs and make whatever improvements we can, consistent with the constraints on scope and compatibility. The two parts are: XML Schema 1.1 Part 2: Datatypes, and XML Schema 1.1 Part 1: Structures.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14725}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":[],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":2,"relation":"undefined"}],"grants":[{"id":6580,"fairsharing_record_id":1002,"organisation_id":3213,"relation":"maintains","created_at":"2021-09-30T09:28:06.357Z","updated_at":"2021-09-30T09:28:06.357Z","grant_id":null,"is_lead":true,"saved_state":{"id":3213,"name":"W3C XML Schema Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1003","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T15:33:50.804Z","metadata":{"doi":"10.25504/FAIRsharing.8j2p80","name":"Neural-Immune Gene Ontology","status":"deprecated","contacts":[{"contact_name":"Eitan Rubin","contact_email":"erubin@bgu.ac.il","contact_orcid":"0000-0002-7807-4005"}],"homepage":"http://bioinfo.bgu.ac.il/rubin/supplementary/NIGO/Supplementary.html","citations":[],"identifier":1003,"description":"The Neural-Immune Gene Ontology (NIGO) is a subset of GO directed for neurological and immunological systems. NIGO was created by clipping those GO terms that are not associated to any gene in human, rat and mouse, and by clipping terms not found to be relevant to the neural and/or immune domains.","abbreviation":"NIGO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIGO","name":"NIGO","portal":"BioPortal"}],"deprecation_date":"2023-03-23","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002693","bsg-s002693"],"name":"FAIRsharing record for: Neural-Immune Gene Ontology","abbreviation":"NIGO","url":"https://fairsharing.org/10.25504/FAIRsharing.8j2p80","doi":"10.25504/FAIRsharing.8j2p80","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neural-Immune Gene Ontology (NIGO) is a subset of GO directed for neurological and immunological systems. NIGO was created by clipping those GO terms that are not associated to any gene in human, rat and mouse, and by clipping terms not found to be relevant to the neural and/or immune domains.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12460}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Immunology","Computational Biology","Life Science"],"domains":["Expression data","Cellular component"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel","Italy"],"publications":[{"id":1758,"pubmed_id":20831831,"title":"The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-458","authors":"Geifman N,Monsonego A,Rubin E","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-458","created_at":"2021-09-30T08:25:37.273Z","updated_at":"2021-09-30T08:25:37.273Z"}],"licence_links":[],"grants":[{"id":6581,"fairsharing_record_id":1003,"organisation_id":200,"relation":"maintains","created_at":"2021-09-30T09:28:06.382Z","updated_at":"2021-09-30T09:28:06.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":200,"name":"Ben-Gurion University of the Negev, Israel","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6582,"fairsharing_record_id":1003,"organisation_id":2012,"relation":"funds","created_at":"2021-09-30T09:28:06.413Z","updated_at":"2021-09-30T09:28:06.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":2012,"name":"National Institute of Biotechnology in the Negev, Beer-Sheva, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1017","type":"fairsharing_records","attributes":{"created_at":"2018-08-29T22:14:28.000Z","updated_at":"2022-07-20T11:27:10.596Z","metadata":{"name":"Ontologies of Linguistic Annotation","status":"deprecated","contacts":[],"homepage":"http://www.acoli.informatik.uni-frankfurt.de/resources/olia/","citations":[{"publication_id":2314}],"identifier":1017,"description":"The OLiA ontologies represent a repository of annotation terminology for various linguistic phenomena for many languages. They have been used to facilitate interoperability and information integration of linguistic annotations in corpora, NLP pipelines, and lexical-semantic resources.","abbreviation":"OLiA","support_links":[{"url":"http://sourceforge.net/projects/olia/","name":"Sourceforge Project","type":"Help documentation"}],"year_creation":2005,"deprecation_date":"2022-02-07","deprecation_reason":"This resource is no longer available at the stated homepage, and a new project site cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-001257","bsg-s001257"],"name":"FAIRsharing record for: Ontologies of Linguistic Annotation","abbreviation":"OLiA","url":"https://fairsharing.org/fairsharing_records/1017","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OLiA ontologies represent a repository of annotation terminology for various linguistic phenomena for many languages. They have been used to facilitate interoperability and information integration of linguistic annotations in corpora, NLP pipelines, and lexical-semantic resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Linguistics"],"domains":["Annotation","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2314,"pubmed_id":null,"title":"OLiA – Ontologies of Linguistic Annotation","year":2012,"url":"http://semantic-web-journal.net/content/olia-%E2%80%93-ontologies-linguistic-annotation","authors":"Christian Chiarcos, Maria Sukhareva","journal":"Semantic Web Journal","doi":null,"created_at":"2021-09-30T08:26:43.941Z","updated_at":"2021-09-30T11:29:51.637Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1050,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1047,"relation":"undefined"}],"grants":[{"id":6616,"fairsharing_record_id":1017,"organisation_id":104,"relation":"maintains","created_at":"2021-09-30T09:28:07.666Z","updated_at":"2021-09-30T09:28:07.666Z","grant_id":null,"is_lead":true,"saved_state":{"id":104,"name":"Applied Computational Linguistics (ACoLi) Lab, Institut fur Informatik, Goethe Universitat, Frankfurt am Main, Germany","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1018","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:09.000Z","updated_at":"2024-03-21T13:59:03.234Z","metadata":{"doi":"10.25504/FAIRsharing.t05h3c","name":"LINCS Extended Metadata Standard: Induced Pluripotent Stem Cells","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/iPSC_Metadata_2017.pdf","citations":[],"identifier":1018,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Induced pluripotent stem cells (iPSCs) are adult cells that have been genetically reprogrammed to an embryonic stem cell–like state by being forced to express genes and factors important for maintaining the defining properties of embryonic stem cells.","abbreviation":"LINCS 2: iPSCs","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/iPSC_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000653","bsg-s000653"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Induced Pluripotent Stem Cells","abbreviation":"LINCS 2: iPSCs","url":"https://fairsharing.org/10.25504/FAIRsharing.t05h3c","doi":"10.25504/FAIRsharing.t05h3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Induced pluripotent stem cells (iPSCs) are adult cells that have been genetically reprogrammed to an embryonic stem cell–like state by being forced to express genes and factors important for maintaining the defining properties of embryonic stem cells.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11896},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12490}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Epigenomics","Epigenetics","Life Science"],"domains":["Pluripotent stem cell","Karyotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":6618,"fairsharing_record_id":1018,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:07.737Z","updated_at":"2021-09-30T09:28:07.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11573,"fairsharing_record_id":1018,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:03.038Z","updated_at":"2024-03-21T13:59:03.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1019","type":"fairsharing_records","attributes":{"created_at":"2018-03-13T19:43:22.000Z","updated_at":"2022-07-20T11:46:09.262Z","metadata":{"doi":"10.25504/FAIRsharing.af7a2d","name":"Brassica Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_348:ROOT","citations":[],"identifier":1019,"description":"Brassica Trait Ontology (BRaTO) hosts trait information to describe brassica crop data. Terms are collected from various projects including OREGIN, RIPR (UK) and Rapsodyn (France). Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brassica Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_348","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"https://github.com/Brassica-Trait-Ontology/brato/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://www.cropontology.org/help","name":"Help page","type":"Help documentation"},{"url":"https://github.com/Brassica-Trait-Ontology/brato","name":"GitHub","type":"Github"}],"year_creation":2017},"legacy_ids":["bsg-001141","bsg-s001141"],"name":"FAIRsharing record for: Brassica Ontology","abbreviation":"CO_348","url":"https://fairsharing.org/10.25504/FAIRsharing.af7a2d","doi":"10.25504/FAIRsharing.af7a2d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Brassica Trait Ontology (BRaTO) hosts trait information to describe brassica crop data. Terms are collected from various projects including OREGIN, RIPR (UK) and Rapsodyn (France). Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Brassica Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Brassica"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Australia","France","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1761,"relation":"undefined"}],"grants":[{"id":6622,"fairsharing_record_id":1019,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:07.899Z","updated_at":"2021-09-30T09:28:07.899Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6619,"fairsharing_record_id":1019,"organisation_id":801,"relation":"maintains","created_at":"2021-09-30T09:28:07.779Z","updated_at":"2021-09-30T09:28:07.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":801,"name":"Earlham Institute, Norwich, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6620,"fairsharing_record_id":1019,"organisation_id":2601,"relation":"maintains","created_at":"2021-09-30T09:28:07.807Z","updated_at":"2021-09-30T09:28:07.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":2601,"name":"Southern Cross University, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6621,"fairsharing_record_id":1019,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:07.849Z","updated_at":"2021-09-30T09:28:07.849Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1020","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2023-03-13T09:20:34.603Z","metadata":{"doi":"10.25504/FAIRsharing.tz6hz6","name":"Ontology of Consumer Health Vocabulary","status":"ready","contacts":[{"contact_name":"Tuan Amith","contact_email":"muhammad.f.amith@uth.tmc.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/OCHV","citations":[],"identifier":1020,"description":"A SKOS-encoded implementation of the \"Open Access, Collaborative Consumer Health Vocabulary Initiative\" by the University of Utah (consumerhealthvocab.org and layhealthinformatics.com)","abbreviation":"OCHV","support_links":[{"url":"cui.tao@uth.tmc.edu","name":"Cui Tao","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OCHV","name":"OCHV","portal":"BioPortal"}]},"legacy_ids":["bsg-000952","bsg-s000952"],"name":"FAIRsharing record for: Ontology of Consumer Health Vocabulary","abbreviation":"OCHV","url":"https://fairsharing.org/10.25504/FAIRsharing.tz6hz6","doi":"10.25504/FAIRsharing.tz6hz6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A SKOS-encoded implementation of the \"Open Access, Collaborative Consumer Health Vocabulary Initiative\" by the University of Utah (consumerhealthvocab.org and layhealthinformatics.com)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"996","type":"fairsharing_records","attributes":{"created_at":"2021-07-08T13:42:43.000Z","updated_at":"2022-02-08T10:37:58.459Z","metadata":{"doi":"10.25504/FAIRsharing.0417cf","name":"Open Archives Initiative Protocol for Metadata Harvesting Schema","status":"ready","contacts":[{"contact_name":"Carl Lagoze","contact_email":"lagoze@cs.cornell.edu"}],"homepage":"http://www.openarchives.org/OAI/openarchivesprotocol.html#OAIPMHschema","identifier":996,"description":"The Open Archives Initiative Protocol for Metadata Harvesting Schema (OAI-PMH Schema) provides a formal structure for validating responses as part of the OAI-PMH Protocol. The OAI-PMH Protocol is a low-barrier mechanism for repository interoperability. Data Providers are repositories that expose structured metadata via OAI-PMH. Service Providers then make OAI-PMH service requests to harvest that metadata. OAI-PMH is a set of six verbs or services that are invoked within HTTP.","abbreviation":"OAI-PMH Schema","support_links":[{"url":"https://groups.google.com/g/oai-pmh","name":"OAI-PMH Google Group","type":"Forum"},{"url":"http://www.openarchives.org/OAI/2.0/guidelines.htm","name":"OAI-PMH Guidelines","type":"Help documentation"},{"url":"http://www.openarchives.org/pmh/","name":"General Information","type":"Help documentation"}],"associated_tools":[{"url":"http://www.openarchives.org/pmh/tools/","name":"Tool List"}]},"legacy_ids":["bsg-001621","bsg-s001621"],"name":"FAIRsharing record for: Open Archives Initiative Protocol for Metadata Harvesting Schema","abbreviation":"OAI-PMH Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.0417cf","doi":"10.25504/FAIRsharing.0417cf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Archives Initiative Protocol for Metadata Harvesting Schema (OAI-PMH Schema) provides a formal structure for validating responses as part of the OAI-PMH Protocol. The OAI-PMH Protocol is a low-barrier mechanism for repository interoperability. Data Providers are repositories that expose structured metadata via OAI-PMH. Service Providers then make OAI-PMH service requests to harvest that metadata. OAI-PMH is a set of six verbs or services that are invoked within HTTP.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18238}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Integration","Computer Science"],"domains":["Data retrieval"],"taxonomies":["Not applicable"],"user_defined_tags":["general anesthsia"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":361,"relation":"undefined"}],"grants":[{"id":6569,"fairsharing_record_id":996,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:05.921Z","updated_at":"2021-09-30T09:28:05.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6568,"fairsharing_record_id":996,"organisation_id":2253,"relation":"maintains","created_at":"2021-09-30T09:28:05.880Z","updated_at":"2021-09-30T09:28:05.880Z","grant_id":null,"is_lead":true,"saved_state":{"id":2253,"name":"Open Archives Initiative (OAI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6570,"fairsharing_record_id":996,"organisation_id":542,"relation":"funds","created_at":"2021-09-30T09:28:05.959Z","updated_at":"2021-09-30T09:28:05.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":542,"name":"Coalition for Networked Information","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6571,"fairsharing_record_id":996,"organisation_id":760,"relation":"funds","created_at":"2021-09-30T09:28:05.992Z","updated_at":"2021-09-30T09:28:05.992Z","grant_id":null,"is_lead":false,"saved_state":{"id":760,"name":"Digital Library Federation","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"997","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-03-11T10:29:49.698Z","metadata":{"doi":"10.25504/FAIRsharing.kx4bgf","name":"NGS ontology","status":"deprecated","contacts":[{"contact_name":"mickael silva","contact_email":"mickaelsilva@medicina.ulisboa.pt"}],"homepage":"https://github.com/mickaelsilva/NGSOnto","citations":[],"identifier":997,"description":"The NGSOnto ontology aims at capturing the workflow of all the processes involved in a Next Generation Sequencing, in order to ensure the reproducibility of the entire process, through the use of a controled and specific vocabulary.","abbreviation":"NGSONTO","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NGSONTO","name":"NGSONTO","portal":"BioPortal"}],"deprecation_date":"2022-03-11","deprecation_reason":"This resource has not been updated in BioPortal since its initial submission, and and the GitHub homepage has also not been updated recently. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000838","bsg-s000838"],"name":"FAIRsharing record for: NGS ontology","abbreviation":"NGSONTO","url":"https://fairsharing.org/10.25504/FAIRsharing.kx4bgf","doi":"10.25504/FAIRsharing.kx4bgf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NGSOnto ontology aims at capturing the workflow of all the processes involved in a Next Generation Sequencing, in order to ensure the reproducibility of the entire process, through the use of a controled and specific vocabulary.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Next generation DNA sequencing"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Portugal"],"publications":[],"licence_links":[],"grants":[{"id":8983,"fairsharing_record_id":997,"organisation_id":3434,"relation":"maintains","created_at":"2022-03-11T10:28:10.051Z","updated_at":"2022-03-11T10:28:10.051Z","grant_id":null,"is_lead":true,"saved_state":{"id":3434,"name":"University of Lisbon","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"998","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.161Z","metadata":{"doi":"10.25504/FAIRsharing.fr3ng0","name":"Edinburgh Human Developmental Anatomy Abstract","status":"deprecated","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://obofoundry.org/ontology/ehdaa.html","identifier":998,"description":"A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). This abstract version of the human developmental anatomy ontology compresses all the tissues present over Carnegie stages 1-20 into a single hierarchy. The heart, for example, is present from Carnegie Stage 9 onwards and is thus represented by 12 EHDA IDs (one for each stage). In the abstract mouse, it has a single ID so that the abstract term given as just heart really means heart (CS 9-20). This ontology was made computationally and later deemed \"incoherent\" by the authors because the stage-dependent hierarchical structures were not integrated.","abbreviation":"EHDAA","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EHDAA","name":"EHDAA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ehdaa.html","name":"ehdaa","portal":"OBO Foundry"}],"deprecation_date":"2016-04-20","deprecation_reason":"This resource is deprecated. Please see the following record for the next version of the ontology (https://biosharing.org/bsg-002675) instead."},"legacy_ids":["bsg-000033","bsg-s000033"],"name":"FAIRsharing record for: Edinburgh Human Developmental Anatomy Abstract","abbreviation":"EHDAA","url":"https://fairsharing.org/10.25504/FAIRsharing.fr3ng0","doi":"10.25504/FAIRsharing.fr3ng0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of stage-specific anatomical structures of the human. It has been designed to mesh with the mouse anatomy (EMAP ontology) and incorporates each Carnegie stage of development (CS1-20). This abstract version of the human developmental anatomy ontology compresses all the tissues present over Carnegie stages 1-20 into a single hierarchy. The heart, for example, is present from Carnegie Stage 9 onwards and is thus represented by 12 EHDA IDs (one for each stage). In the abstract mouse, it has a single ID so that the abstract term given as just heart really means heart (CS 9-20). This ontology was made computationally and later deemed \"incoherent\" by the authors because the stage-dependent hierarchical structures were not integrated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science","Biomedical Science"],"domains":["Life cycle stage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1007,"pubmed_id":14620375,"title":"An ontology of human developmental anatomy.","year":2003,"url":"http://doi.org/10.1046/j.1469-7580.2003.00224.x","authors":"Hunter A,Kaufman MH,McKay A,Baldock R,Simmen MW,Bard JB","journal":"J Anat","doi":"10.1046/j.1469-7580.2003.00224.x","created_at":"2021-09-30T08:24:11.455Z","updated_at":"2021-09-30T08:24:11.455Z"},{"id":1052,"pubmed_id":22973865,"title":"A new ontology (structured hierarchy) of human developmental anatomy for the first 7 weeks (Carnegie stages 1-20).","year":2012,"url":"http://doi.org/10.1111/j.1469-7580.2012.01566.x","authors":"Bard J","journal":"J Anat","doi":"10.1111/j.1469-7580.2012.01566.x","created_at":"2021-09-30T08:24:16.472Z","updated_at":"2021-09-30T08:24:16.472Z"}],"licence_links":[],"grants":[{"id":6572,"fairsharing_record_id":998,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:28:06.030Z","updated_at":"2021-09-30T09:28:06.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1021","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:35:59.510Z","metadata":{"doi":"10.25504/FAIRsharing.xm7tkj","name":"Nuclear Magnetic Resonance Controlled Vocabulary","status":"ready","contacts":[],"homepage":"http://nmrml.org/cv/","citations":[],"identifier":1021,"description":"nmrCV is a MSI-sanctioned NMR controlled vocabulary, created within the COSMOS EU project, to support the nmrML data standard for nuclear magnetic resonance data in metabolomics with standardized meaningful data descriptors. This CV is the successor of the (now deprecated) 'NMR-instrument specific component of metabolomics investigations' CV of 2006. This standard is currently financed via the PhenoMeNal EU project. It is a simple taxonomy build according to the same design principles as its role model artefact, the Mass Spec CV of PSI.","abbreviation":"nmrCV","support_links":[{"url":"info@nmrml.org","type":"Support email"},{"url":"https://groups.google.com/forum/?hl=en#!forum/nmrml/join","type":"Forum"},{"url":"https://github.com/nmrML/nmrML/issues","type":"Github"},{"url":"http://nmrml.org/cv/","type":"Help documentation"},{"url":"https://github.com/nmrML/nmrML/tree/master/xml-schemata","type":"Github"}],"year_creation":2015,"associated_tools":[{"url":"http://nmrml.org/tools/","name":"Parsers and visualisers"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NMR","name":"NMR","portal":"BioPortal"}]},"legacy_ids":["bsg-000069","bsg-s000069"],"name":"FAIRsharing record for: Nuclear Magnetic Resonance Controlled Vocabulary","abbreviation":"nmrCV","url":"https://fairsharing.org/10.25504/FAIRsharing.xm7tkj","doi":"10.25504/FAIRsharing.xm7tkj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: nmrCV is a MSI-sanctioned NMR controlled vocabulary, created within the COSMOS EU project, to support the nmrML data standard for nuclear magnetic resonance data in metabolomics with standardized meaningful data descriptors. This CV is the successor of the (now deprecated) 'NMR-instrument specific component of metabolomics investigations' CV of 2006. This standard is currently financed via the PhenoMeNal EU project. It is a simple taxonomy build according to the same design principles as its role model artefact, the Mass Spec CV of PSI.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10909},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11018},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11706}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry","Metabolomics"],"domains":["Molecular structure","Chemical structure","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Chemical screen","Assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France","United Kingdom","European Union"],"publications":[{"id":1087,"pubmed_id":17687353,"title":"The metabolomics standards initiative.","year":2007,"url":"http://doi.org/10.1038/nbt0807-846b","authors":"MSI Board Members, Sansone SA, Fan T, Goodacre R, Griffin JL, Hardy NW, Kaddurah-Daouk R, Kristal BS, Lindon J, Mendes P, Morrison N, Nikolau B, Robertson D, Sumner LW, Taylor C, van der Werf M, van Ommen B, Fiehn O.","journal":"Nat. Biotechnol.","doi":"10.1038/nbt0807-846b","created_at":"2021-09-30T08:24:20.407Z","updated_at":"2021-09-30T08:24:20.407Z"},{"id":1991,"pubmed_id":29035042,"title":"nmrML: A Community Supported Open Data Standard for the Description, Storage, and Exchange of NMR Data.","year":2017,"url":"http://doi.org/10.1021/acs.analchem.7b02795","authors":"Schober D1, Jacob D2, Wilson M3, Cruz JA3, Marcu A3, Grant JR3, Moing A2, Deborde C2, de Figueiredo LF4, Haug K4, Rocca-Serra P5, Easton J6, Ebbels TMD7, Hao J7, Ludwig C8, Günther UL9, Rosato A10, Klein MS11, Lewis IA11, Luchinat C10, Jones AR12, Grauslys A12, Larralde M13, Yokochi M14, Kobayashi N14, Porzel A15, Griffin JL16, Viant MR17, Wishart DS3, Steinbeck C4, Salek RM4, Neumann S1","journal":"Anal. Chem.","doi":"10.1021/acs.analchem.7b02795","created_at":"2021-09-30T08:26:04.124Z","updated_at":"2021-09-30T08:26:04.124Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1367,"relation":"undefined"}],"grants":[{"id":6624,"fairsharing_record_id":1021,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:28:07.969Z","updated_at":"2021-09-30T09:30:58.972Z","grant_id":963,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"654241","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6626,"fairsharing_record_id":1021,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:08.023Z","updated_at":"2021-09-30T09:28:08.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6623,"fairsharing_record_id":1021,"organisation_id":917,"relation":"funds","created_at":"2021-09-30T09:28:07.937Z","updated_at":"2021-09-30T09:31:45.990Z","grant_id":1317,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","grant":"EC312941","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":10393,"fairsharing_record_id":1021,"organisation_id":2799,"relation":"maintains","created_at":"2023-03-13T11:11:43.556Z","updated_at":"2023-03-13T11:11:43.556Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1022","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-08T07:26:03.891Z","metadata":{"doi":"10.25504/FAIRsharing.ad3137","name":"Medical Dictionary for Regulatory Activities Terminology","status":"ready","contacts":[{"contact_email":"mssohelp@meddra.org"}],"homepage":"http://www.meddra.org/","identifier":1022,"description":"MedDRA is a multilingual terminology allowing most users to operate in their native languages. MedDRA can be used to analyse individual medical events (e.g., “Influenza”) or issues involving a system, organ or etiology (e.g., infections) using its hierarchical structure. MedDRA can be used for signal detection and monitoring of clinical syndromes whose symptoms encompass numerous systems or organs using its multi-axial hierarchy or through the special feature of Standardised MedDRA Queries. The ability to communicate adverse event data is another strength of MedDRA and has lead to MedDRA being an integral part of the ICH e-submission standards: eCTD (ICH M8) and ICSRs (ICH E2B).","abbreviation":"MedDRA","support_links":[{"url":"https://www.meddra.org/news-and-events/news","name":"News","type":"Blog/News"},{"url":"http://www.meddra.org/contact","type":"Contact form"},{"url":"http://www.meddra.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.meddra.org/how-to-use/support-documentation","type":"Help documentation"},{"url":"http://www.meddra.org/how-to-use/basics/hierarchy","type":"Help documentation"},{"url":"https://www.meddra.org/rss","name":"RSS","type":"Blog/News"},{"url":"http://www.meddra.org/training/offerings","type":"Training documentation"}],"year_creation":1993,"associated_tools":[{"url":"http://www.meddra.org/how-to-use/tools/smqs","name":"Standardised MedDRA Queries"},{"url":"https://tools.meddra.org/mvat/","name":"MedDRA Version Analysis Tool"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEDDRA","name":"MEDDRA","portal":"BioPortal"}]},"legacy_ids":["bsg-002647","bsg-s002647"],"name":"FAIRsharing record for: Medical Dictionary for Regulatory Activities Terminology","abbreviation":"MedDRA","url":"https://fairsharing.org/10.25504/FAIRsharing.ad3137","doi":"10.25504/FAIRsharing.ad3137","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MedDRA is a multilingual terminology allowing most users to operate in their native languages. MedDRA can be used to analyse individual medical events (e.g., “Influenza”) or issues involving a system, organ or etiology (e.g., infections) using its hierarchical structure. MedDRA can be used for signal detection and monitoring of clinical syndromes whose symptoms encompass numerous systems or organs using its multi-axial hierarchy or through the special feature of Standardised MedDRA Queries. The ability to communicate adverse event data is another strength of MedDRA and has lead to MedDRA being an integral part of the ICH e-submission standards: eCTD (ICH M8) and ICSRs (ICH E2B).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17389},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17691},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11280},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12023},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12458},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16977}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1053,"pubmed_id":10082069,"title":"The medical dictionary for regulatory activities (MedDRA).","year":1999,"url":"http://doi.org/10.2165/00002018-199920020-00002","authors":"Brown EG,Wood L,Wood S","journal":"Drug Saf","doi":"10.2165/00002018-199920020-00002","created_at":"2021-09-30T08:24:16.580Z","updated_at":"2021-09-30T08:24:16.580Z"},{"id":1249,"pubmed_id":10961570,"title":"The use of a medical dictionary for regulatory activities terminology (MedDRA) in prescription-event monitoring in Japan (J-PEM).","year":2000,"url":"http://doi.org/10.1016/s1386-5056(00)00062-9","authors":"Yokotsuka M,Aoyama M,Kubota K","journal":"Int J Med Inform","doi":"10.1016/s1386-5056(00)00062-9","created_at":"2021-09-30T08:24:39.316Z","updated_at":"2021-09-30T08:24:39.316Z"}],"licence_links":[{"licence_name":"MedDRA Special Licence","licence_id":502,"licence_url":"http://www.meddra.org/subscription/special-licences","link_id":1510,"relation":"undefined"}],"grants":[{"id":6627,"fairsharing_record_id":1022,"organisation_id":1811,"relation":"maintains","created_at":"2021-09-30T09:28:08.066Z","updated_at":"2021-09-30T09:28:08.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":1811,"name":"Medical Dictionary for Regulatory Activities (MedDRA) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6628,"fairsharing_record_id":1022,"organisation_id":2313,"relation":"maintains","created_at":"2021-09-30T09:28:08.108Z","updated_at":"2021-09-30T09:28:08.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1004","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:00.491Z","metadata":{"doi":"10.25504/FAIRsharing.j9y503","name":"Cell Ontology","status":"ready","contacts":[{"contact_name":"Alexander Diehl","contact_email":"addiehl@buffalo.edu","contact_orcid":"0000-0001-9990-8331"}],"homepage":"https://github.com/obophenotype/cell-ontology","citations":[{"doi":"10.1186/s13326-016-0088-7","pubmed_id":27377652,"publication_id":2079}],"identifier":1004,"description":"The Cell Ontology (CL) is a candidate OBO Foundry ontology for the representation of cell types. First described in 2005, the CL integrates cell types from the prokaryotic, fungal, and eukaryotic organisms. As a core component of the OBO Foundry, the CL merges information contained in species-specific anatomical ontologies as well as referencing other OBO Foundry ontologies such as the Protein Ontology (PR) for uniquely expressed biomarkers and the Gene Ontology (GO) for the biological processes a cell type participates in. The CL is under continuous revision to expand representation of cell types and to better integrate with other biomedical ontologies.","abbreviation":"CL","support_links":[{"url":"https://github.com/obophenotype/cell-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/obophenotype/cell-ontology/blob/master/src/ontology/README.txt","name":"Project README","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CL","name":"CL","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cl.html","name":"cl","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000009","bsg-s000009"],"name":"FAIRsharing record for: Cell Ontology","abbreviation":"CL","url":"https://fairsharing.org/10.25504/FAIRsharing.j9y503","doi":"10.25504/FAIRsharing.j9y503","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Ontology (CL) is a candidate OBO Foundry ontology for the representation of cell types. First described in 2005, the CL integrates cell types from the prokaryotic, fungal, and eukaryotic organisms. As a core component of the OBO Foundry, the CL merges information contained in species-specific anatomical ontologies as well as referencing other OBO Foundry ontologies such as the Protein Ontology (PR) for uniquely expressed biomarkers and the Gene Ontology (GO) for the biological processes a cell type participates in. The CL is under continuous revision to expand representation of cell types and to better integrate with other biomedical ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10865},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11260},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11813},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11920},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12196},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16928}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science","Cell Biology"],"domains":["Annotation","Cell","Morphology"],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1011,"pubmed_id":21208450,"title":"Logical development of the cell ontology.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-6","authors":"Meehan TF,Masci AM,Abdulla A,Cowell LG,Blake JA,Mungall CJ,Diehl AD","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-6","created_at":"2021-09-30T08:24:11.948Z","updated_at":"2021-09-30T08:24:11.948Z"},{"id":2079,"pubmed_id":27377652,"title":"The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0088-7","authors":"Diehl AD,Meehan TF,Bradford YM,Brush MH,Dahdul WM,Dougall DS,He Y,Osumi-Sutherland D,Ruttenberg A,Sarntivijai S,Van Slyke CE,Vasilevsky NA,Haendel MA,Blake JA,Mungall CJ","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0088-7","created_at":"2021-09-30T08:26:14.366Z","updated_at":"2021-09-30T08:26:14.366Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1758,"relation":"undefined"}],"grants":[{"id":6583,"fairsharing_record_id":1004,"organisation_id":399,"relation":"maintains","created_at":"2021-09-30T09:28:06.455Z","updated_at":"2021-09-30T09:28:06.455Z","grant_id":null,"is_lead":true,"saved_state":{"id":399,"name":"Cell Ontology (CL) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6584,"fairsharing_record_id":1004,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:28:06.493Z","updated_at":"2021-09-30T09:30:35.230Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1011","type":"fairsharing_records","attributes":{"created_at":"2018-08-28T20:44:28.000Z","updated_at":"2022-02-08T10:49:04.745Z","metadata":{"doi":"10.25504/FAIRsharing.17fbae","name":"Open Language Archives Community Metadata","status":"ready","contacts":[{"contact_name":"Gary Simons","contact_email":"gary_simons@sil.org"}],"homepage":"http://www.language-archives.org/OLAC/metadata.html","identifier":1011,"description":"This document defines the format used by the Open Language Archives Community (OLAC) for the interchange of metadata within the framework of the Open Archives Initiative (OAI). The metadata set is based on (and is an application profile of) the complete set of Dublin Core metadata terms (DCMT), but the format allows for the use of extensions to express community-specific qualifiers.","abbreviation":"OLAC Metadata","year_creation":2006},"legacy_ids":["bsg-001256","bsg-s001256"],"name":"FAIRsharing record for: Open Language Archives Community Metadata","abbreviation":"OLAC Metadata","url":"https://fairsharing.org/10.25504/FAIRsharing.17fbae","doi":"10.25504/FAIRsharing.17fbae","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document defines the format used by the Open Language Archives Community (OLAC) for the interchange of metadata within the framework of the Open Archives Initiative (OAI). The metadata set is based on (and is an application profile of) the complete set of Dublin Core metadata terms (DCMT), but the format allows for the use of extensions to express community-specific qualifiers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Australia","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 2.5 Generic (CC BY-SA 2.5)","licence_id":190,"licence_url":"https://creativecommons.org/licenses/by-sa/2.5/","link_id":1195,"relation":"undefined"}],"grants":[{"id":6592,"fairsharing_record_id":1011,"organisation_id":2259,"relation":"maintains","created_at":"2021-09-30T09:28:06.775Z","updated_at":"2021-09-30T09:28:06.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":2259,"name":"Open Language Archive Community (OLAC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6595,"fairsharing_record_id":1011,"organisation_id":3090,"relation":"maintains","created_at":"2021-09-30T09:28:06.888Z","updated_at":"2021-09-30T09:28:06.888Z","grant_id":null,"is_lead":true,"saved_state":{"id":3090,"name":"University of Melbourne","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6593,"fairsharing_record_id":1011,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:28:06.804Z","updated_at":"2021-09-30T09:28:06.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6594,"fairsharing_record_id":1011,"organisation_id":2568,"relation":"maintains","created_at":"2021-09-30T09:28:06.847Z","updated_at":"2021-09-30T09:28:06.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":2568,"name":"SIL International and Graduate Institute of Applied Linguistics","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1039","type":"fairsharing_records","attributes":{"created_at":"2018-01-03T11:02:43.000Z","updated_at":"2021-11-24T13:18:09.815Z","metadata":{"doi":"10.25504/FAIRsharing.hn155r","name":"Multi-Crop Passport Descriptors","status":"ready","contacts":[{"contact_name":"Stefano Diulgheroff","contact_email":"Stefano.Diulgheroff@fao.org"}],"homepage":"https://www.bioversityinternational.org/e-library/publications/detail/faoipgri-multi-crop-passport-descriptors-mcpd/","identifier":1039,"description":"The List of Multi-Crop Passport Descriptors (MCPD) is a reference tool developed jointly by IPGRI and FAO to provide international standards to facilitate germplasm passport information exchange across crops. These descriptors aim to be compatible with IPGRI crop descriptor lists and with the descriptors used for the FAO World Information and Early Warning System (WIEWS) on plant genetic resources (PGR). This revised version (December 2001) of the 1997 MCPD List, provides a brief explanation of content, coding scheme and suggested fieldnames for each descriptor to assist in the computerized exchange of this type of data.","abbreviation":"MCPD","year_creation":2001},"legacy_ids":["bsg-001094","bsg-s001094"],"name":"FAIRsharing record for: Multi-Crop Passport Descriptors","abbreviation":"MCPD","url":"https://fairsharing.org/10.25504/FAIRsharing.hn155r","doi":"10.25504/FAIRsharing.hn155r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The List of Multi-Crop Passport Descriptors (MCPD) is a reference tool developed jointly by IPGRI and FAO to provide international standards to facilitate germplasm passport information exchange across crops. These descriptors aim to be compatible with IPGRI crop descriptor lists and with the descriptors used for the FAO World Information and Early Warning System (WIEWS) on plant genetic resources (PGR). This revised version (December 2001) of the 1997 MCPD List, provides a brief explanation of content, coding scheme and suggested fieldnames for each descriptor to assist in the computerized exchange of this type of data.","linked_records":[],"linking_records":[{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11869},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16717}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Agriculture","Life Science"],"domains":["Germplasm"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Italy"],"publications":[],"licence_links":[],"grants":[{"id":6656,"fairsharing_record_id":1039,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:09.194Z","updated_at":"2021-09-30T09:28:09.194Z","grant_id":null,"is_lead":false,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6657,"fairsharing_record_id":1039,"organisation_id":1509,"relation":"maintains","created_at":"2021-09-30T09:28:09.218Z","updated_at":"2021-09-30T09:28:09.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":1509,"name":"International Plant Genetic Resources Institute (IPGRI), Rome, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1040","type":"fairsharing_records","attributes":{"created_at":"2015-10-06T15:08:28.000Z","updated_at":"2021-11-24T13:16:25.888Z","metadata":{"doi":"10.25504/FAIRsharing.xfz72j","name":"Economic Botany Data Collection Standard","status":"ready","contacts":[{"contact_email":"tdwguses@kew.org"}],"homepage":"https://github.com/tdwg/prior-standards/tree/master/economic-botany-data-collection-standard","identifier":1040,"description":"This standard provides a system whereby uses of plants (in their cultural context) can be described, using standardised descriptors and terms, and attached to taxonomic data sets. It resulted from discussions at the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) between 1989 and 1992. Users and potential users of the standard include: economic botanists and ethnobotanists whose purpose is to record all known information about the uses of a taxon; educationalists, taxonomists, biochemists, anatomists etc. who wish to record plant use, often at a broad level; economic botany collection curators who need to describe accurately the uses and values of specimens in their collections; bibliographers who need to describe plant uses referred to in publications and to apply keywords consistently for ease of data retrieval. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":"EBDCS","support_links":[{"url":"https://github.com/tdwg/prior-standards/tree/master/economic-botany-data-collection-standard","type":"Github"}],"year_creation":1995},"legacy_ids":["bsg-000624","bsg-s000624"],"name":"FAIRsharing record for: Economic Botany Data Collection Standard","abbreviation":"EBDCS","url":"https://fairsharing.org/10.25504/FAIRsharing.xfz72j","doi":"10.25504/FAIRsharing.xfz72j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard provides a system whereby uses of plants (in their cultural context) can be described, using standardised descriptors and terms, and attached to taxonomic data sets. It resulted from discussions at the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) between 1989 and 1992. Users and potential users of the standard include: economic botanists and ethnobotanists whose purpose is to record all known information about the uses of a taxon; educationalists, taxonomists, biochemists, anatomists etc. who wish to record plant use, often at a broad level; economic botany collection curators who need to describe accurately the uses and values of specimens in their collections; bibliographers who need to describe plant uses referred to in publications and to apply keywords consistently for ease of data retrieval. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12276}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Botany","Biodiversity","Life Science"],"domains":[],"taxonomies":["Embryophyta"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1264,"pubmed_id":24971798,"title":"New categories for traditional medicine in the Economic Botany Data Collection Standard.","year":2014,"url":"http://doi.org/10.1016/j.jep.2014.06.047","authors":"Gruca M,Camara-Leret R,Macia MJ,Balslev H","journal":"J Ethnopharmacol","doi":"10.1016/j.jep.2014.06.047","created_at":"2021-09-30T08:24:41.016Z","updated_at":"2021-09-30T08:24:41.016Z"}],"licence_links":[],"grants":[{"id":6658,"fairsharing_record_id":1040,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:09.243Z","updated_at":"2021-09-30T09:28:09.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1041","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2023-11-17T09:47:08.299Z","metadata":{"doi":"10.25504/FAIRsharing.rbp5wp","name":"IBP Crop Research Ontology","status":"deprecated","contacts":[{"contact_name":"Rosemary Shrestha","contact_email":"r.shrestha2@cgiar.org","contact_orcid":"0000-0002-9399-8003"}],"homepage":"https://cropontology.org/term/CO_715:ROOT","citations":[],"identifier":1041,"description":"The IBP Crop Research Ontology describes experimental design, environmental conditions and methods associated with the crop study/experiment/trait and their evaluation. It has been adapted from the database management system (DMS) and germplasm management system (GMS) of the International Crop Information System (ICIS) model. This ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms.","abbreviation":"CO_715","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001099","bsg-s001099"],"name":"FAIRsharing record for: IBP Crop Research Ontology","abbreviation":"CO_715","url":"https://fairsharing.org/10.25504/FAIRsharing.rbp5wp","doi":"10.25504/FAIRsharing.rbp5wp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IBP Crop Research Ontology describes experimental design, environmental conditions and methods associated with the crop study/experiment/trait and their evaluation. It has been adapted from the database management system (DMS) and germplasm management system (GMS) of the International Crop Information System (ICIS) model. This ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Study design"],"taxonomies":["Plantae"],"user_defined_tags":["Method descriptions","Species-environment interaction"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1584,"relation":"undefined"}],"grants":[{"id":6659,"fairsharing_record_id":1041,"organisation_id":1499,"relation":"maintains","created_at":"2021-09-30T09:28:09.269Z","updated_at":"2021-09-30T09:28:09.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":1499,"name":"International Maize and Wheat Improvement Center (CIMMYT)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6660,"fairsharing_record_id":1041,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:28:09.295Z","updated_at":"2021-09-30T09:28:09.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6661,"fairsharing_record_id":1041,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:09.319Z","updated_at":"2021-09-30T09:28:09.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1042","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:41.857Z","metadata":{"doi":"10.25504/FAIRsharing.4zegak","name":"Role Ontology","status":"in_development","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://sourceforge.net/projects/roleo/","identifier":1042,"description":"The Role Ontology (RoleO) is a ontology in the domain of role classification. RoleO aims to standardize role classification and support computer-assisted reasoning. RoleO is a community-based ontology, and its development follows the OBO Foundry principles.","abbreviation":"RoleO","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ROLEO","name":"ROLEO","portal":"BioPortal"}]},"legacy_ids":["bsg-002692","bsg-s002692"],"name":"FAIRsharing record for: Role Ontology","abbreviation":"RoleO","url":"https://fairsharing.org/10.25504/FAIRsharing.4zegak","doi":"10.25504/FAIRsharing.4zegak","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Role Ontology (RoleO) is a ontology in the domain of role classification. RoleO aims to standardize role classification and support computer-assisted reasoning. RoleO is a community-based ontology, and its development follows the OBO Foundry principles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6662,"fairsharing_record_id":1042,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:09.344Z","updated_at":"2021-09-30T09:28:09.344Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1043","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T08:50:51.000Z","updated_at":"2022-12-13T09:38:12.941Z","metadata":{"doi":"10.25504/FAIRsharing.vM7i3k","name":"IVOA Single-Sign-On Profile: Authentication Mechanisms","status":"ready","contacts":[{"contact_name":"IVOA Grid and Web Services Working Group","contact_email":"grid@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/SSO/index.html","citations":[{"publication_id":2950}],"identifier":1043,"description":"Single-Sign-On Profile: Authentication Mechanisms is a guideline describing approved client-server authentication mechanisms for the IVOA single-sign-on profile. These mechanisms include: No Authentication; HTTP Basic Authentication; TLS with passwords; TLS with client certificates; Cookies; Open Authentication; Security Assertion Markup Language; OpenID. Normative rules are given for the implementation of these mechanisms, mainly by reference to pre-existing standards. The Authorization mechanisms are out of the scope of this document.","abbreviation":"SSO - Authentication","support_links":[{"url":"http://www.ivoa.net/documents/SSO/20170524/REC-SSOAuthMech-2.0.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SecurityHome","name":"IVOA Security Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001190","bsg-s001190"],"name":"FAIRsharing record for: IVOA Single-Sign-On Profile: Authentication Mechanisms","abbreviation":"SSO - Authentication","url":"https://fairsharing.org/10.25504/FAIRsharing.vM7i3k","doi":"10.25504/FAIRsharing.vM7i3k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Single-Sign-On Profile: Authentication Mechanisms is a guideline describing approved client-server authentication mechanisms for the IVOA single-sign-on profile. These mechanisms include: No Authentication; HTTP Basic Authentication; TLS with passwords; TLS with client certificates; Cookies; Open Authentication; Security Assertion Markup Language; OpenID. Normative rules are given for the implementation of these mechanisms, mainly by reference to pre-existing standards. The Authorization mechanisms are out of the scope of this document.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11493}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2950,"pubmed_id":null,"title":"SSO - Single-Sign-On Profile: Authentication Mechanisms Version 2.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0524T","authors":"Taffoni, Giuliano; Schaaf, André; Rixon, Guy; Major, Brian","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.583Z","updated_at":"2021-09-30T08:28:03.583Z"}],"licence_links":[],"grants":[{"id":6663,"fairsharing_record_id":1043,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:09.375Z","updated_at":"2021-09-30T09:28:09.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6664,"fairsharing_record_id":1043,"organisation_id":1574,"relation":"maintains","created_at":"2021-09-30T09:28:09.414Z","updated_at":"2021-09-30T09:28:09.414Z","grant_id":null,"is_lead":false,"saved_state":{"id":1574,"name":"IVOA Grid and Web Services Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1044","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.995Z","metadata":{"doi":"10.25504/FAIRsharing.abxd9x","name":"Teleost Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Wasila Dahdul","contact_email":"wasila.dahdul@usd.edu","contact_orcid":"0000-0003-3162-7490"}],"homepage":"http://purl.bioontology.org/ontology/TAO","identifier":1044,"description":"TAO is a multi-species ontology for teleost fishes that was initialized with terms from the Zebrafish Anatomical Ontology (ZFA). The development of the TAO focused on the skeletal system because it varies significantly across fishes, is well-preserved in fossil specimens, and it is often the focus of morphologically-based evolutionary studies in ichthyology. Note that TAO is a deprecated ontology and has been superceded by Uberon.","abbreviation":"TAO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TAO","name":"TAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tao.html","name":"tao","portal":"OBO Foundry"}],"deprecation_date":"2016-03-31","deprecation_reason":"Superceded by UBERON https://fairsharing.org/FAIRsharing.4c0b6b"},"legacy_ids":["bsg-000030","bsg-s000030"],"name":"FAIRsharing record for: Teleost Anatomy Ontology","abbreviation":"TAO","url":"https://fairsharing.org/10.25504/FAIRsharing.abxd9x","doi":"10.25504/FAIRsharing.abxd9x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TAO is a multi-species ontology for teleost fishes that was initialized with terms from the Zebrafish Anatomical Ontology (ZFA). The development of the TAO focused on the skeletal system because it varies significantly across fishes, is well-preserved in fossil specimens, and it is often the focus of morphologically-based evolutionary studies in ichthyology. Note that TAO is a deprecated ontology and has been superceded by Uberon.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Morphology","Structure"],"taxonomies":["Teleostei"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1651,"pubmed_id":20547776,"title":"The teleost anatomy ontology: anatomical representation for the genomics age.","year":2010,"url":"http://doi.org/10.1093/sysbio/syq013","authors":"Dahdul WM,Lundberg JG,Midford PE,Balhoff JP,Lapp H,Vision TJ,Haendel MA,Westerfield M,Mabee PM","journal":"Syst Biol","doi":"10.1093/sysbio/syq013","created_at":"2021-09-30T08:25:24.971Z","updated_at":"2021-09-30T08:25:24.971Z"}],"licence_links":[],"grants":[{"id":6667,"fairsharing_record_id":1044,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:09.500Z","updated_at":"2021-09-30T09:29:49.562Z","grant_id":422,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF DBI 0641025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6665,"fairsharing_record_id":1044,"organisation_id":2809,"relation":"maintains","created_at":"2021-09-30T09:28:09.446Z","updated_at":"2021-09-30T09:28:09.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6669,"fairsharing_record_id":1044,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:09.575Z","updated_at":"2021-09-30T09:30:29.176Z","grant_id":731,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HG002659","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6666,"fairsharing_record_id":1044,"organisation_id":2809,"relation":"funds","created_at":"2021-09-30T09:28:09.467Z","updated_at":"2021-09-30T09:32:26.637Z","grant_id":1622,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","grant":"NSF EF-0423641","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1045","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:37:54.724Z","metadata":{"doi":"10.25504/FAIRsharing.6xwdvb","name":"International Classification of External Causes of Injury","status":"ready","contacts":[{"contact_name":"Marijke W. de Kleijn - de Vrankrijker","contact_email":"marijke.de.kleijn@rivm.nl"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-of-external-causes-of-injury","identifier":1045,"description":"The International Classification of External Causes of Injury (ICECI) was created to enable the classification of external causes of injuries. It is designed to help researchers and prevention practitioners to describe, measure and monitor the occurrence of injuries and to investigate their circumstances of occurrence using an internally agreed classification. Criteria underlying the classification are: a separate coding axis for each main concept, usefulness for injury prevention, useability in may types of settings (many parts of the world; emergency departments and other places where data are collected), comparability and complementarity with the ICD-10.","abbreviation":"ICECI","support_links":[{"url":"who-fic@rivm.nl","name":"WHO-FIC General Contact","type":"Support email"},{"url":"https://www.whofic.nl/en/family-of-international-classifications/related-classifications/iceci","name":"About ICECI","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ICECI","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1998,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICECI","name":"ICECI","portal":"BioPortal"}]},"legacy_ids":["bsg-002661","bsg-s002661"],"name":"FAIRsharing record for: International Classification of External Causes of Injury","abbreviation":"ICECI","url":"https://fairsharing.org/10.25504/FAIRsharing.6xwdvb","doi":"10.25504/FAIRsharing.6xwdvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of External Causes of Injury (ICECI) was created to enable the classification of external causes of injuries. It is designed to help researchers and prevention practitioners to describe, measure and monitor the occurrence of injuries and to investigate their circumstances of occurrence using an internally agreed classification. Criteria underlying the classification are: a separate coding axis for each main concept, usefulness for injury prevention, useability in may types of settings (many parts of the world; emergency departments and other places where data are collected), comparability and complementarity with the ICD-10.","linked_records":[],"linking_records":[{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16785}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Primary Health Care","Biomedical Science"],"domains":["Electronic health record","Classification","Injury"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6670,"fairsharing_record_id":1045,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:09.618Z","updated_at":"2021-09-30T09:28:09.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6671,"fairsharing_record_id":1045,"organisation_id":3232,"relation":"maintains","created_at":"2021-09-30T09:28:09.658Z","updated_at":"2021-09-30T09:28:09.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":3232,"name":"WHO-FIC Collaborating Centre, Centre for Health Knowledge Integration, National Institute for Public Health and the Environment, Bilthoven, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1058","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T09:09:04.992Z","metadata":{"doi":"10.25504/FAIRsharing.qzrbk","name":"Taxonomic Concept transfer Schema","status":"ready","contacts":[{"contact_name":"Richard L. Pyle","contact_email":"deepreef@bishopmuseum.org"}],"homepage":"http://www.tdwg.org/standards/117/","citations":[],"identifier":1058,"description":"The development of an abstract model for a taxonomic concept, which can capture the various models represented and understood by the various data providers, is central to this project. This model is presented as an XML schema document that is proposed as a standard to allow exchange of data between different data models. It aims to capture data as understood by the data owners without distortion, and facilitate the query of different data resources according to the common schema model. The TCS schema was conceived to allow the representation of taxonomic concepts as defined in published taxonomic classifications, revisions and databases. As such, it specifies the structure for XML documents to be used for the transfer of defined concepts. Valid transfer documents may either explicitly detail the defining components of taxon concepts, transfer GUIDs referring to defined taxon concepts (if and when these are available) or a mixture of the two.","abbreviation":"TCS","support_links":[{"url":"https://github.com/tdwg/tnc","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-000199","bsg-s000199"],"name":"FAIRsharing record for: Taxonomic Concept transfer Schema","abbreviation":"TCS","url":"https://fairsharing.org/10.25504/FAIRsharing.qzrbk","doi":"10.25504/FAIRsharing.qzrbk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The development of an abstract model for a taxonomic concept, which can capture the various models represented and understood by the various data providers, is central to this project. This model is presented as an XML schema document that is proposed as a standard to allow exchange of data between different data models. It aims to capture data as understood by the data owners without distortion, and facilitate the query of different data resources according to the common schema model. The TCS schema was conceived to allow the representation of taxonomic concepts as defined in published taxonomic classifications, revisions and databases. As such, it specifies the structure for XML documents to be used for the transfer of defined concepts. Valid transfer documents may either explicitly detail the defining components of taxon concepts, transfer GUIDs referring to defined taxon concepts (if and when these are available) or a mixture of the two.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12266}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1241,"pubmed_id":26877662,"title":"A common registration-to-publication automated pipeline for nomenclatural acts for higher plants (International Plant Names Index, IPNI), fungi (Index Fungorum, MycoBank) and animals (ZooBank).","year":2016,"url":"http://doi.org/10.3897/zookeys.550.9551","authors":"Penev L,Paton A,Nicolson N,Kirk P,Pyle RL,Whitton R,Georgiev T,Barker C,Hopkins C,Robert V,Biserkov J,Stoev P","journal":"Zookeys","doi":"10.3897/zookeys.550.9551","created_at":"2021-09-30T08:24:38.442Z","updated_at":"2021-09-30T08:24:38.442Z"}],"licence_links":[],"grants":[{"id":6689,"fairsharing_record_id":1058,"organisation_id":2707,"relation":"maintains","created_at":"2021-09-30T09:28:10.317Z","updated_at":"2021-09-30T09:28:10.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":2707,"name":"Taxonomic Names and Concepts interest group (TDWG)","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1059","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T20:37:40.000Z","updated_at":"2023-09-29T11:55:01.296Z","metadata":{"doi":"10.25504/FAIRsharing.82bd49","name":"Language resource management -- Semantic annotation framework (SemAF) -- Part 4: Semantic roles (SemAF-SR)","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/56866.html","citations":[],"identifier":1059,"description":"The aim of ISO 24617-4:2014 is to propose a consensual annotation scheme for semantic roles; that is to say, a scheme that indicates the role that a participant plays in an event or state, as described mostly by a verb, and typically providing answers to questions such as \"?who' did ?what' to ?whom'\", and ?when', ?where', ?why', and ?how'. This includes not only the semantic relations between a verb and its arguments but also those relations that are relevant for other predicative elements such as nominalizations, nouns, adjectives, and predicate modifiers; the predicating role of adverbs and the use of coercion fall outside the scope of ISO 24617-4:2014.","abbreviation":"ISO 24617-4:2014","year_creation":2014},"legacy_ids":["bsg-001265","bsg-s001265"],"name":"FAIRsharing record for: Language resource management -- Semantic annotation framework (SemAF) -- Part 4: Semantic roles (SemAF-SR)","abbreviation":"ISO 24617-4:2014","url":"https://fairsharing.org/10.25504/FAIRsharing.82bd49","doi":"10.25504/FAIRsharing.82bd49","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of ISO 24617-4:2014 is to propose a consensual annotation scheme for semantic roles; that is to say, a scheme that indicates the role that a participant plays in an event or state, as described mostly by a verb, and typically providing answers to questions such as \"?who' did ?what' to ?whom'\", and ?when', ?where', ?why', and ?how'. This includes not only the semantic relations between a verb and its arguments but also those relations that are relevant for other predicative elements such as nominalizations, nouns, adjectives, and predicate modifiers; the predicating role of adverbs and the use of coercion fall outside the scope of ISO 24617-4:2014.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":895,"relation":"undefined"}],"grants":[{"id":10937,"fairsharing_record_id":1059,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:47:24.520Z","updated_at":"2023-09-27T14:47:24.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6690,"fairsharing_record_id":1059,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:10.346Z","updated_at":"2021-09-30T09:28:10.346Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1060","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:47.297Z","metadata":{"doi":"10.25504/FAIRsharing.sw9xbj","name":"Expressed Sequence Annotation for Humans","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"evoc@sanbi.ac.za"}],"homepage":"http://www.obofoundry.org/ontology/ev.html","identifier":1060,"description":"Expressed Sequence Annotation for Humans provides structured controlled vocabularies for the annotation of expressed sequences with respect to anatomical system, cell type, developmental stage, experimental technique, microarray platform, pathology, pooling, tissue preparation and treatment. This record is no longer being maintained.","abbreviation":"eVOC","deprecation_date":"2016-03-09","deprecation_reason":"This resource is no longer maintained and has been listed as deprecated by the OBO Foundry (http://obofoundry.org/ontology/ev.html). Please see the FAIRsharing record for the Sequence Ontology (https://biosharing.org/bsg-000046) for a possible alternative."},"legacy_ids":["bsg-000132","bsg-s000132"],"name":"FAIRsharing record for: Expressed Sequence Annotation for Humans","abbreviation":"eVOC","url":"https://fairsharing.org/10.25504/FAIRsharing.sw9xbj","doi":"10.25504/FAIRsharing.sw9xbj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Expressed Sequence Annotation for Humans provides structured controlled vocabularies for the annotation of expressed sequences with respect to anatomical system, cell type, developmental stage, experimental technique, microarray platform, pathology, pooling, tissue preparation and treatment. This record is no longer being maintained.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Life Science"],"domains":["Sequence feature","Transcript"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["South Africa"],"publications":[],"licence_links":[],"grants":[{"id":6691,"fairsharing_record_id":1060,"organisation_id":2597,"relation":"maintains","created_at":"2021-09-30T09:28:10.371Z","updated_at":"2021-09-30T09:28:10.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":2597,"name":"South African National Bioinformatics Institute, University of Western Cape, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1061","type":"fairsharing_records","attributes":{"created_at":"2020-02-26T11:49:41.000Z","updated_at":"2022-07-20T12:52:04.762Z","metadata":{"doi":"10.25504/FAIRsharing.9ed958","name":"ENA Sequence XML Schema","status":"ready","contacts":[{"contact_name":"EBI Helpdesk","contact_email":"support@ebi.ac.uk"}],"homepage":"https://ena-docs.readthedocs.io/en/latest/submit/general-guide/programmatic.html","identifier":1061,"description":"ENA Sequence XML Schema is a standardised XML schema for nucleotide sequences. All assembled and annotated sequences must conform to this schema.","abbreviation":"ENA EMBL XSD","support_links":[{"url":"https://www.ebi.ac.uk/ena/submit/sequence-format","name":"Assembled and Annotated Sequences","type":"Help documentation"}]},"legacy_ids":["bsg-001452","bsg-s001452"],"name":"FAIRsharing record for: ENA Sequence XML Schema","abbreviation":"ENA EMBL XSD","url":"https://fairsharing.org/10.25504/FAIRsharing.9ed958","doi":"10.25504/FAIRsharing.9ed958","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ENA Sequence XML Schema is a standardised XML schema for nucleotide sequences. All assembled and annotated sequences must conform to this schema.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12561}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Genetics"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Nucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2340,"relation":"undefined"}],"grants":[{"id":6693,"fairsharing_record_id":1061,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:10.420Z","updated_at":"2021-09-30T09:28:10.420Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1062","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2021-11-24T13:17:20.923Z","metadata":{"doi":"10.25504/FAIRsharing.cjzx96","name":"Genetic Testing Ontology","status":"deprecated","contacts":[{"contact_name":"Qian Zhu","contact_email":"qianzhu@umbc.edu"}],"homepage":"http://qianzhu-lab.umbc.edu/","identifier":1062,"description":"The Genetic Test Ontology (GTO) was created with the aim of filling the gap between the large volume of available genetic tests and insufficient usage of these genetic tests. The GTO was built on top of a meta-ontology by populating specific genetic testing data. Literature data from SemMedDB has been extracted and integrated into the GTO to provide scientific evidence.","abbreviation":"GTO","year_creation":2015,"deprecation_date":"2021-03-24","deprecation_reason":"This resource is no longer available, either from the project page or from BioPortal."},"legacy_ids":["bsg-000773","bsg-s000773"],"name":"FAIRsharing record for: Genetic Testing Ontology","abbreviation":"GTO","url":"https://fairsharing.org/10.25504/FAIRsharing.cjzx96","doi":"10.25504/FAIRsharing.cjzx96","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genetic Test Ontology (GTO) was created with the aim of filling the gap between the large volume of available genetic tests and insufficient usage of these genetic tests. The GTO was built on top of a meta-ontology by populating specific genetic testing data. Literature data from SemMedDB has been extracted and integrated into the GTO to provide scientific evidence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Human Genetics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2306,"pubmed_id":null,"title":"Scientific Evidence Based Genetic Testing Ontology Development towards Individualized Medicine","year":2015,"url":"http://www.jscimedcentral.com/TranslationalMedicine/translationalmedicine-3-1040.pdf","authors":"Li P, Liu H, Zhu Q","journal":"J Transl Med Epidemiol","doi":null,"created_at":"2021-09-30T08:26:42.869Z","updated_at":"2021-09-30T08:26:42.869Z"}],"licence_links":[],"grants":[{"id":6694,"fairsharing_record_id":1062,"organisation_id":246,"relation":"maintains","created_at":"2021-09-30T09:28:10.448Z","updated_at":"2021-09-30T09:28:10.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":246,"name":"Bioinformatics Lab, University of Maryland, Baltimore County, Baltimore, MD, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1036","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-07T16:03:37.837Z","metadata":{"doi":"10.25504/FAIRsharing.62qk8w","name":"Chemical Entities of Biological Interest","status":"ready","contacts":[{"contact_name":"Venkat","contact_email":"venkat@ebi.ac.uk","contact_orcid":"0000-0002-6850-9888"}],"homepage":"http://www.ebi.ac.uk/chebi/","citations":[{"doi":"10.1093/nar/gkv1031","pubmed_id":26467479,"publication_id":1105}],"identifier":1036,"description":"Chemical Entities of Biological Interest (ChEBI) is a free dictionary that describes 'small’ chemical compounds. These compound includes distinct synthetic or natural atoms, molecules, ions, ion pair, radicals, radical ions, complexes, conformers, etc.. These molecular entities can interact with or affect the processes of living organisms.","abbreviation":"ChEBI","support_links":[{"url":"https://www.ebi.ac.uk/chebi/entityMonthForward.do","name":"Entity of the Month","type":"Blog/News"},{"url":"https://docs.google.com/document/d/1zftGTqpsyRM2eBFQm6krb6ZmxJo6EYr-nGb7TBLYViU/edit","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://docs.google.com/document/d/11G6SmTtQRQYFT7l9h5K0faUHiAaekcLeOweMOOTIpME/edit","name":"Developer Manual","type":"Help documentation"},{"url":"https://docs.google.com/document/d/1_w-DwBdCCOh1gMeeP6yqGzcnkpbHYOa3AGSODe5epcg/edit","name":"User Manual","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/chebi/periodicTableMolecularEntitiesForward.do","name":"ChEBI Periodic Table","type":"Help documentation"},{"url":"https://docs.google.com/document/d/1EZHaOEl-iPZPbqD_GRyIetDoA4U8U2SPr9Qk6RKVRc0/edit","name":"Annotation Manual","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/chebi/statisticsForward.do","name":"Statistics","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/chebi-quick-tour","name":"ChEBI: Quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/chebi-the-online-chemical-dictionary-for-small-molecules","name":"ChEBI: The online chemical dictionary for small molecules","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/course-list?field_course_subject_area_tid%5B%5D=11","name":"ChEBI Training","type":"Training documentation"},{"url":"http://www.ebi.ac.uk/training/online/course-list?field_course_subject_area_tid%5B%5D=11","name":"Train Online: ChEBI","type":"Training documentation"},{"url":"http://www.ebi.ac.uk/training/online/course/chebi-online-chemical-dictionary-small-molecules","name":"Online Course","type":"Training documentation"},{"url":"https://twitter.com/chebit","name":"@chebit","type":"Twitter"}],"year_creation":2006,"associated_tools":[{"url":"https://www.ebi.ac.uk/chebi/tools/binche/","name":"BiNChE 0.2.5"},{"url":"https://www.ebi.ac.uk/chebi/libchebi.do","name":"libChEBI"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEBI","name":"CHEBI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/chebi.html","name":"chebi","portal":"OBO Foundry"},{"url":"https://www.re3data.org/repository/r3d100012626","name":"re3data:r3d100012626","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002088","name":"SciCrunch:RRID:SCR_002088","portal":"SciCrunch"}]},"legacy_ids":["bsg-000039","bsg-s000039"],"name":"FAIRsharing record for: Chemical Entities of Biological Interest","abbreviation":"ChEBI","url":"https://fairsharing.org/10.25504/FAIRsharing.62qk8w","doi":"10.25504/FAIRsharing.62qk8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chemical Entities of Biological Interest (ChEBI) is a free dictionary that describes 'small’ chemical compounds. These compound includes distinct synthetic or natural atoms, molecules, ions, ion pair, radicals, radical ions, complexes, conformers, etc.. These molecular entities can interact with or affect the processes of living organisms.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18252},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10864},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11138},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11312},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11707},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11827},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11919},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12195},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13277},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17989},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16211},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16986}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Chemistry"],"domains":["Molecular structure","Taxonomic classification","Molecular entity","Small molecule","Natural product"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1093,"pubmed_id":19496059,"title":"ChEBI: an open bioinformatics and cheminformatics resource.","year":2009,"url":"http://doi.org/10.1002/0471250953.bi1409s26","authors":"Degtyarenko K,Hastings J,de Matos P,Ennis M","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi1409s26","created_at":"2021-09-30T08:24:21.022Z","updated_at":"2021-09-30T08:24:21.022Z"},{"id":1104,"pubmed_id":17932057,"title":"ChEBI: a database and ontology for chemical entities of biological interest.","year":2007,"url":"http://doi.org/10.1093/nar/gkm791","authors":"Degtyarenko K,de Matos P,Ennis M,Hastings J,Zbinden M,McNaught A,Alcantara R,Darsow M,Guedj M,Ashburner M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm791","created_at":"2021-09-30T08:24:22.322Z","updated_at":"2021-09-30T11:28:58.576Z"},{"id":1105,"pubmed_id":26467479,"title":"ChEBI in 2016: Improved services and an expanding collection of metabolites.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1031","authors":"Hastings J,Owen G,Dekker A,Ennis M,Kale N,Muthukrishnan V,Turner S,Swainston N,Mendes P,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1031","created_at":"2021-09-30T08:24:22.437Z","updated_at":"2021-09-30T11:28:58.676Z"},{"id":1968,"pubmed_id":19854951,"title":"Chemical Entities of Biological Interest: an update.","year":2009,"url":"http://doi.org/10.1093/nar/gkp886","authors":"de Matos P,Alcantara R,Dekker A,Ennis M,Hastings J,Haug K,Spiteri I,Turner S,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp886","created_at":"2021-09-30T08:26:01.504Z","updated_at":"2021-09-30T11:29:24.912Z"},{"id":2207,"pubmed_id":23180789,"title":"The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1146","authors":"Hastings J,de Matos P,Dekker A,Ennis M,Harsha B,Kale N,Muthukrishnan V,Owen G,Turner S,Williams M,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1146","created_at":"2021-09-30T08:26:28.748Z","updated_at":"2021-09-30T11:29:30.886Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":288,"relation":"undefined"}],"grants":[{"id":6651,"fairsharing_record_id":1036,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:08.984Z","updated_at":"2021-09-30T09:28:08.984Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6654,"fairsharing_record_id":1036,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:28:09.141Z","updated_at":"2021-09-30T09:29:34.272Z","grant_id":305,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6652,"fairsharing_record_id":1036,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:09.024Z","updated_at":"2021-09-30T09:30:00.878Z","grant_id":513,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K019783/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8264,"fairsharing_record_id":1036,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:49.531Z","updated_at":"2021-09-30T09:31:49.582Z","grant_id":1344,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022747/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9295,"fairsharing_record_id":1036,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.489Z","updated_at":"2022-04-11T12:07:28.506Z","grant_id":474,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1037","type":"fairsharing_records","attributes":{"created_at":"2017-03-01T13:14:19.000Z","updated_at":"2021-11-24T13:18:44.143Z","metadata":{"doi":"10.25504/FAIRsharing.c12tyk","name":"mzTab","status":"ready","contacts":[{"contact_email":"psidev-pi-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/mztab","identifier":1037,"description":"The aim of the format is to present the results of a proteomics experiment in a computationally accessible overview. The aim is not to provide the detailed evidence for these results, or allow recreating the process which led to the results. Both of these functions are established through links to more detailed representations in other formats, in particular mzIdentML and mzQuantML. mzTab is meant to be a light-weight, tab-delimited file format for proteomics data. The target audience for this format are primarily researchers outside of proteomics. It should be easy to parse and only contain the minimal information required to evaluate the results of a proteomics experiment. One of the goals of this file format is that it, for example, should be possible for a biologist to open such a file in Excel and still be able to \"see\" the data. This format should also become a way to disseminate proteomics results through protocols such as DAS.","abbreviation":"mzTab","support_links":[{"url":"https://github.com/HUPO-PSI/mzTab/wiki","type":"Github"},{"url":"https://github.com/HUPO-PSI/mzTab","type":"Github"}],"year_creation":2012,"associated_tools":[{"url":"https://github.com/PRIDE-Utilities/jmzTab","name":"jmzTab"},{"url":"http://genome.tugraz.at/lda/lda_description.shtml","name":"LipidDataAnalyzer"},{"url":"http://www.openms.de/","name":"OpenMS"},{"url":"http://www.bioconductor.org/packages/2.9/bioc/html/MSnbase.html","name":"MSnBase"},{"url":"http://code.google.com/p/pride-converter-2/","name":"Pride Converter 2"},{"url":"http://www.biochem.mpg.de/5111795/maxquant","name":"MaxQuant"},{"url":"https://github.com/mpc-bioinformatics/pia","name":"PIA"}]},"legacy_ids":["bsg-000693","bsg-s000693"],"name":"FAIRsharing record for: mzTab","abbreviation":"mzTab","url":"https://fairsharing.org/10.25504/FAIRsharing.c12tyk","doi":"10.25504/FAIRsharing.c12tyk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of the format is to present the results of a proteomics experiment in a computationally accessible overview. The aim is not to provide the detailed evidence for these results, or allow recreating the process which led to the results. Both of these functions are established through links to more detailed representations in other formats, in particular mzIdentML and mzQuantML. mzTab is meant to be a light-weight, tab-delimited file format for proteomics data. The target audience for this format are primarily researchers outside of proteomics. It should be easy to parse and only contain the minimal information required to evaluate the results of a proteomics experiment. One of the goals of this file format is that it, for example, should be possible for a biologist to open such a file in Excel and still be able to \"see\" the data. This format should also become a way to disseminate proteomics results through protocols such as DAS.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11449},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12083},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16912}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","China","Germany","Switzerland","United Kingdom","United States"],"publications":[{"id":2006,"pubmed_id":24980485,"title":"The mzTab data exchange format: communicating mass-spectrometry-based proteomics and metabolomics experimental results to a wider audience.","year":2014,"url":"http://doi.org/10.1074/mcp.O113.036681","authors":"Griss J,Jones AR,Sachsenberg T,Walzer M,Gatto L,Hartler J,Thallinger GG,Salek RM,Steinbeck C,Neuhauser N,Cox J,Neumann S,Fan J,Reisinger F,Xu QW,Del Toro N,Perez-Riverol Y,Ghali F,Bandeira N,Xenarios I,Kohlbacher O,Vizcaino JA,Hermjakob H","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O113.036681","created_at":"2021-09-30T08:26:05.932Z","updated_at":"2021-09-30T08:26:05.932Z"}],"licence_links":[],"grants":[{"id":6655,"fairsharing_record_id":1037,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:09.170Z","updated_at":"2021-09-30T09:28:09.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1038","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.922Z","metadata":{"doi":"10.25504/FAIRsharing.t9fvdn","name":"Animal natural history and life history","status":"ready","contacts":[{"contact_name":"Animal Diversity Web technical staff","contact_email":"adw.staff@umich.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1530","identifier":1038,"description":"An ontology for animal life history and natural history characteristics suitable for populations and higher taxonomic entities.","abbreviation":"ADW","support_links":[{"url":"ExploreData@Quaardvark","type":"Support email"}],"year_creation":2004,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ADW","name":"ADW","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/adw.html","name":"adw","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002685","bsg-s002685"],"name":"FAIRsharing record for: Animal natural history and life history","abbreviation":"ADW","url":"https://fairsharing.org/10.25504/FAIRsharing.t9fvdn","doi":"10.25504/FAIRsharing.t9fvdn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for animal life history and natural history characteristics suitable for populations and higher taxonomic entities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1050","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T12:00:22.357Z","metadata":{"doi":"10.25504/FAIRsharing.9zpcgj","name":"Amino Acid Ontology","status":"ready","contacts":[{"contact_name":"Phil Lord","contact_email":"phillip.lord@russet.org.uk"}],"homepage":"https://bioportal.bioontology.org/ontologies/AMINO-ACID","citations":[],"identifier":1050,"description":"Amino Acid Ontology is an ontology of amino acids and their properties. It captures how biochemists talk about amino acids; that is, it is a conceptualisation of amino acids. This ontology smoothens out the way in which amino acids are described as the chemical reality tends to obscure rather than reveal what may be considered important features of amino acids. This ontology serves as a demonstration of a move towards a sort of mass production of axiomatically rich ontologies.","abbreviation":null,"support_links":[{"url":"admin@co-ode.org","name":"General contact","type":"Support email"},{"url":"http://ceur-ws.org/Vol-903/paper-06.html","type":"Help documentation"},{"url":"https://robertdavidstevens.wordpress.com/2012/05/19/an-expedition-in-semantic-publishing/","type":"Help documentation"},{"url":"https://robertdavidstevens.wordpress.com/2010/12/18/an-update-to-the-amino-acids-ontology/","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AMINO-ACID","name":"AMINO-ACID","portal":"BioPortal"}]},"legacy_ids":["bsg-002629","bsg-s002629"],"name":"FAIRsharing record for: Amino Acid Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9zpcgj","doi":"10.25504/FAIRsharing.9zpcgj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Amino Acid Ontology is an ontology of amino acids and their properties. It captures how biochemists talk about amino acids; that is, it is a conceptualisation of amino acids. This ontology smoothens out the way in which amino acids are described as the chemical reality tends to obscure rather than reveal what may be considered important features of amino acids. This ontology serves as a demonstration of a move towards a sort of mass production of axiomatically rich ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":8721,"fairsharing_record_id":1050,"organisation_id":3086,"relation":"maintains","created_at":"2022-01-10T16:00:49.482Z","updated_at":"2022-01-10T16:00:49.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1051","type":"fairsharing_records","attributes":{"created_at":"2021-01-13T14:08:33.000Z","updated_at":"2023-09-29T11:55:02.584Z","metadata":{"doi":"10.25504/FAIRsharing.a6b18c","name":"ISO 19115-2:2019 Geographic information — Metadata — Part 2: Extensions for acquisition and processing","status":"ready","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/67039.html","citations":[],"identifier":1051,"description":"ISO 19115-2:2019 Geographic information — Metadata — Part 2: \"Extensions for acquisition and processing\" provides the structure needed to more extensively describe the acquisition and processing of geographic information from all sources. This structure is intended to augment ISO 19115-1. This document replaces the previous edition (ISO 19115-2:2009), which focused on metadata for imagery and gridded data. During the revision process it was noted that this metadata applied to the acquisition and processing of geographic information from all sources, not just imagery and gridded data. Therefore, the name of the standard was updated to reflect this.","abbreviation":"ISO 19115-2:2019","year_creation":2019},"legacy_ids":["bsg-001579","bsg-s001579"],"name":"FAIRsharing record for: ISO 19115-2:2019 Geographic information — Metadata — Part 2: Extensions for acquisition and processing","abbreviation":"ISO 19115-2:2019","url":"https://fairsharing.org/10.25504/FAIRsharing.a6b18c","doi":"10.25504/FAIRsharing.a6b18c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115-2:2019 Geographic information — Metadata — Part 2: \"Extensions for acquisition and processing\" provides the structure needed to more extensively describe the acquisition and processing of geographic information from all sources. This structure is intended to augment ISO 19115-1. This document replaces the previous edition (ISO 19115-2:2009), which focused on metadata for imagery and gridded data. During the revision process it was noted that this metadata applied to the acquisition and processing of geographic information from all sources, not just imagery and gridded data. Therefore, the name of the standard was updated to reflect this.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location","Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1887,"relation":"undefined"}],"grants":[{"id":6677,"fairsharing_record_id":1051,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:28:09.942Z","updated_at":"2021-09-30T09:28:09.942Z","grant_id":null,"is_lead":true,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10943,"fairsharing_record_id":1051,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:50:38.197Z","updated_at":"2023-09-27T14:50:38.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1052","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T16:00:14.000Z","updated_at":"2023-09-29T11:55:02.319Z","metadata":{"doi":"10.25504/FAIRsharing.728ffd","name":"ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories","status":"ready","contacts":[{"contact_name":"Cristina Draghici","contact_email":"draghici@iso.org"}],"homepage":"https://www.iso.org/standard/66912.html","citations":[],"identifier":1052,"description":"ISO/IEC 17025:2017 specifies the general requirements for the competence, impartiality and consistent operation of laboratories. ISO/IEC 17025:2017 is applicable to all organizations performing laboratory activities, regardless of the number of personnel. Laboratory customers, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others use ISO/IEC 17025:2017 in confirming or recognizing the competence of laboratories.","abbreviation":"ISO/IEC 17025:2017","support_links":[{"url":"https://www.iso.org/ISO-IEC-17025-testing-and-calibration-laboratories.html","name":"Testing and calibration laboratories","type":"Help documentation"},{"url":"https://www.iso.org/publication/PUB100424.html","name":"General requirements for the competence of testing and calibration laboratories","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ISO/IEC_17025","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2017},"legacy_ids":["bsg-001591","bsg-s001591"],"name":"FAIRsharing record for: ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories","abbreviation":"ISO/IEC 17025:2017","url":"https://fairsharing.org/10.25504/FAIRsharing.728ffd","doi":"10.25504/FAIRsharing.728ffd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO/IEC 17025:2017 specifies the general requirements for the competence, impartiality and consistent operation of laboratories. ISO/IEC 17025:2017 is applicable to all organizations performing laboratory activities, regardless of the number of personnel. Laboratory customers, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others use ISO/IEC 17025:2017 in confirming or recognizing the competence of laboratories.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12139}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Engineering Science","Natural Science"],"domains":["Quality control","Legal regulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":28,"relation":"undefined"}],"grants":[{"id":6678,"fairsharing_record_id":1052,"organisation_id":1560,"relation":"maintains","created_at":"2021-09-30T09:28:09.981Z","updated_at":"2021-09-30T09:28:09.981Z","grant_id":null,"is_lead":true,"saved_state":{"id":1560,"name":"ISO/CASCO Committee on conformity assessment, International Organization for Standardization","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10942,"fairsharing_record_id":1052,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:50:12.706Z","updated_at":"2023-09-27T14:50:12.706Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1053","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:52:04.656Z","metadata":{"doi":"10.25504/FAIRsharing.vq28qp","name":"Population and Community Ontology","status":"ready","contacts":[{"contact_name":"Ramona Walls","contact_email":"rlwalls2008@gmail.com","contact_orcid":"0000-0001-8815-0078"}],"homepage":"https://github.com/PopulationAndCommunityOntology/pco","identifier":1053,"description":"Population and Community Ontology (PCO) is an ontology standard for describing the collective and interacting species of any taxa such as humans or plants. PCO has useful application in community health care, plant pathology, behavioral studies, sociology, and ecology. The PCO is compliant with the Basic Formal Ontology (BFO) and is designed to be compatible with other OBO Foundry ontologies.","abbreviation":"PCO","support_links":[{"url":"https://github.com/PopulationAndCommunityOntology/pco/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"popcomm-ontology@googlegroups.com","name":"popcomm-ontology@googlegroups.com","type":"Mailing list"},{"url":"https://www.google.com/url?sa=t\u0026rct=j\u0026q=\u0026esrc=s\u0026source=web\u0026cd=4\u0026ved=2ahUKEwi7vt2c6pnjAhVKh1wKHakhACIQFjADegQIBhAC\u0026url=http%3A%2F%2Fontology.buffalo.edu%2F12%2FPCO_Nov2012.pptx\u0026usg=AOvVaw37nWc4XqEiTEo2O4Rutn64","name":"Presentation","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PCO","name":"PCO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pco.html","name":"pco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002830","bsg-s002830"],"name":"FAIRsharing record for: Population and Community Ontology","abbreviation":"PCO","url":"https://fairsharing.org/10.25504/FAIRsharing.vq28qp","doi":"10.25504/FAIRsharing.vq28qp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Population and Community Ontology (PCO) is an ontology standard for describing the collective and interacting species of any taxa such as humans or plants. PCO has useful application in community health care, plant pathology, behavioral studies, sociology, and ecology. The PCO is compliant with the Basic Formal Ontology (BFO) and is designed to be compatible with other OBO Foundry ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Ecology","Biodiversity","Community Care","Social and Behavioural Science","Population Genetics"],"domains":["Evolution"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2744,"pubmed_id":null,"title":"Meeting report: advancing practical applications of biodiversity ontologies","year":2014,"url":"https://dx.doi.org/10.1186%2F1944-3277-9-17","authors":"Ramona L Walls, Robert Guralnick, John Deck, Adam Buntzman, Pier Luigi Buttigieg, Neil Davies, Michael W Denslow, Rachel E Gallery, J Jacob Parnell, David Osumi-Sutherland, Robert J Robbins, Philippe Rocca-Serra, John Wieczorek, and Jie Zheng","journal":"Stand Genomic Sci","doi":null,"created_at":"2021-09-30T08:27:37.018Z","updated_at":"2021-09-30T08:27:37.018Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1836,"relation":"undefined"}],"grants":[{"id":6679,"fairsharing_record_id":1053,"organisation_id":3013,"relation":"maintains","created_at":"2021-09-30T09:28:10.018Z","updated_at":"2021-09-30T09:28:10.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":3013,"name":"University of Arizona, United States","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1030","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:01.080Z","metadata":{"doi":"10.25504/FAIRsharing.bgkyd7","name":"Measurement Method Ontology","status":"ready","contacts":[{"contact_name":"Mary Shimoyama","contact_email":"shimoyama@mcw.edu","contact_orcid":"0000-0003-1176-0796"}],"homepage":"http://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=MMO:0000000","identifier":1030,"description":"The Measurement Method Ontology is designed to represent the variety of methods used to make qualitative and quantitative clinical and phenotype measurements both in the clinic and with model organisms.","abbreviation":"MMO","support_links":[{"url":"http://rgd.mcw.edu/contact/index.shtml","type":"Contact form"},{"url":"http://rgd.mcw.edu/wg/help3/data/ontologies","type":"Help documentation"},{"url":"http://sourceforge.net/projects/phenoonto/","type":"Help documentation"},{"url":"https://twitter.com/ratgenome","type":"Twitter"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MMO","name":"MMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mmo.html","name":"mmo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002714","bsg-s002714"],"name":"FAIRsharing record for: Measurement Method Ontology","abbreviation":"MMO","url":"https://fairsharing.org/10.25504/FAIRsharing.bgkyd7","doi":"10.25504/FAIRsharing.bgkyd7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Measurement Method Ontology is designed to represent the variety of methods used to make qualitative and quantitative clinical and phenotype measurements both in the clinic and with model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12020},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12450}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Model organism","Phenotype"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":891,"pubmed_id":22654893,"title":"Three ontologies to define phenotype measurement data.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00087","authors":"Shimoyama M,Nigam R,McIntosh LS,Nagarajan R,Rice T,Rao DC,Dwinell MR","journal":"Front Genet","doi":"10.3389/fgene.2012.00087","created_at":"2021-09-30T08:23:58.429Z","updated_at":"2021-09-30T08:23:58.429Z"},{"id":1772,"pubmed_id":24103152,"title":"The clinical measurement, measurement method and experimental condition ontologies: expansion, improvements and new applications.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-26","authors":"Smith JR,Park CA,Nigam R,Laulederkind SJ,Hayman GT,Wang SJ,Lowry TF,Petri V,Pons JD,Tutaj M,Liu W,Worthey EA,Shimoyama M,Dwinell MR","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-26","created_at":"2021-09-30T08:25:38.805Z","updated_at":"2021-09-30T08:25:38.805Z"}],"licence_links":[],"grants":[{"id":7954,"fairsharing_record_id":1030,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:03.207Z","updated_at":"2021-09-30T09:30:03.293Z","grant_id":531,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7987,"fairsharing_record_id":1030,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:15.792Z","updated_at":"2021-09-30T09:30:15.862Z","grant_id":626,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL064541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6636,"fairsharing_record_id":1030,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:08.461Z","updated_at":"2021-09-30T09:28:08.461Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6639,"fairsharing_record_id":1030,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:08.541Z","updated_at":"2021-09-30T09:29:46.376Z","grant_id":395,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094286","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6638,"fairsharing_record_id":1030,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:08.510Z","updated_at":"2021-09-30T09:32:17.553Z","grant_id":1551,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9269,"fairsharing_record_id":1030,"organisation_id":2468,"relation":"maintains","created_at":"2022-04-11T12:07:26.702Z","updated_at":"2022-04-11T12:07:26.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":2468,"name":"RS Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1031","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T12:20:38.000Z","updated_at":"2023-05-05T08:40:32.422Z","metadata":{"doi":"10.25504/FAIRsharing.d7af97","name":"Regular Language for XML Next Generation","status":"ready","contacts":[],"homepage":"https://www.oasis-open.org/committees/tc_home.php?wg_abbrev=relax-ng","citations":[],"identifier":1031,"description":"RELAX NG a schema language for describing the structure and defining the elements of XML documents.","abbreviation":"RELAX NG","support_links":[{"url":"https://www.oasis-open.org/committees/relax-ng/tutorial-20011203.html","name":"Tutorial","type":"Training documentation"},{"url":"https://wiki.oasis-open.org/relax-ng/","name":"Wiki","type":"Wikipedia"},{"url":"https://www.oasis-open.org/committees/comments/index.php?wg_abbrev=relax-ng","name":"How to Comment","type":"Contact form"}],"year_creation":2001},"legacy_ids":["bsg-001262","bsg-s001262"],"name":"FAIRsharing record for: Regular Language for XML Next Generation","abbreviation":"RELAX NG","url":"https://fairsharing.org/10.25504/FAIRsharing.d7af97","doi":"10.25504/FAIRsharing.d7af97","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RELAX NG a schema language for describing the structure and defining the elements of XML documents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6640,"fairsharing_record_id":1031,"organisation_id":1525,"relation":"undefined","created_at":"2021-09-30T09:28:08.583Z","updated_at":"2021-09-30T09:28:08.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":1525,"name":"International Standards Organisation (ISO) ISO/TC 171/SC 2: Document file formats, EDMS systems and authenticity of information","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6641,"fairsharing_record_id":1031,"organisation_id":1789,"relation":"maintains","created_at":"2021-09-30T09:28:08.624Z","updated_at":"2021-09-30T09:28:08.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":1789,"name":"Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1032","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2024-02-28T13:54:52.523Z","metadata":{"doi":"10.25504/FAIRsharing.j2cgnn","name":"Autism DSM-ADI-R ontology","status":"deprecated","contacts":[{"contact_name":"Mor Peleg","contact_email":"peleg.mor@gmail.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/ADAR","citations":[],"identifier":1032,"description":"The Autism DSM-ADI-R (ADAR) ontology uses SWRL rules to infer phenotypes from ADI-R items. It includes OWL class definitions representing DSM IV diagnostic criteria for autistic disorder and ASD criteria for Autism Spectrum Disorder. The goal is to create an ontology that will allow data integration and reasoning with subject data to classify subjects, and based on this classification, to infer new knowledge on Autism Spectrum Disorder (ASD) and related neurodevelopmental disorders (NDD). They extended an existing autism ontology to allow automatic inference of ASD phenotypes and Diagnostic \u0026 Statistical Manual of Mental Disorders (DSM) criteria based on subjects’ Autism Diagnostic Interview-Revised (ADI-R) assessment data.","abbreviation":"ADAR","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ADAR","name":"ADAR","portal":"BioPortal"}],"deprecation_date":"2024-02-28","deprecation_reason":"This resource has not been updated on BioPortal since 2015, we cannot find an alternative homepage, and the contacts for the resource have not responded to our enquiries, therefore we consider this resource deprecated. Please get in touch with us if you have information about the current status of this resource."},"legacy_ids":["bsg-000934","bsg-s000934"],"name":"FAIRsharing record for: Autism DSM-ADI-R ontology","abbreviation":"ADAR","url":"https://fairsharing.org/10.25504/FAIRsharing.j2cgnn","doi":"10.25504/FAIRsharing.j2cgnn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Autism DSM-ADI-R (ADAR) ontology uses SWRL rules to infer phenotypes from ADI-R items. It includes OWL class definitions representing DSM IV diagnostic criteria for autistic disorder and ASD criteria for Autism Spectrum Disorder. The goal is to create an ontology that will allow data integration and reasoning with subject data to classify subjects, and based on this classification, to infer new knowledge on Autism Spectrum Disorder (ASD) and related neurodevelopmental disorders (NDD). They extended an existing autism ontology to allow automatic inference of ASD phenotypes and Diagnostic \u0026 Statistical Manual of Mental Disorders (DSM) criteria based on subjects’ Autism Diagnostic Interview-Revised (ADI-R) assessment data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Autistic disorder","Phenotype","Diagnosis","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel","United States"],"publications":[{"id":2064,"pubmed_id":26151311,"title":"An ontology for Autism Spectrum Disorder (ASD) to infer ASD phenotypes from Autism Diagnostic Interview-Revised data.","year":2015,"url":"http://doi.org/10.1016/j.jbi.2015.06.026","authors":"Mugzach O,Peleg M,Bagley SC,Guter SJ,Cook EH,Altman RB","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2015.06.026","created_at":"2021-09-30T08:26:12.550Z","updated_at":"2021-09-30T08:26:12.550Z"}],"licence_links":[],"grants":[{"id":6642,"fairsharing_record_id":1032,"organisation_id":719,"relation":"maintains","created_at":"2021-09-30T09:28:08.662Z","updated_at":"2021-09-30T09:28:08.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":719,"name":"Department of Information Systems, University of Haifa, Israel","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6643,"fairsharing_record_id":1032,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:28:08.700Z","updated_at":"2021-09-30T09:28:08.700Z","grant_id":null,"is_lead":false,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6644,"fairsharing_record_id":1032,"organisation_id":739,"relation":"maintains","created_at":"2021-09-30T09:28:08.742Z","updated_at":"2021-09-30T09:28:08.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":739,"name":"Department of Psychiatry, University of Illinois at Chicago, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1033","type":"fairsharing_records","attributes":{"created_at":"2019-02-20T20:09:44.000Z","updated_at":"2022-07-20T12:46:37.967Z","metadata":{"doi":"10.25504/FAIRsharing.okQOaq","name":"Energy Industry Profile (EIP) v1.1 of ISO-19115-1:2014","status":"ready","contacts":[{"contact_name":"Jay Hollingsworth","contact_email":"Jay.Hollingsworth@energistics.org"}],"homepage":"https://www.energistics.org/eip-specification/","identifier":1033,"description":"The Energy Industry Profile (EIP) of ISO 19115-1:2014 is an open, non-proprietary exchange standard for metadata used to document information resources, and in particular resources referenced to a geographic location, e.g., geospatial datasets and web services, physical resources with associated location, or mapping, interpretation, and modeling datasets. It was developed using input and requirements provided by stakeholders of the global upstream oil \u0026 gas industry, and is an ISO Conformance Level 1 profile of the widely adopted international standards ISO 19115-1:2014 which provides XML implementation guidance with reference to ISO Technical Specification 19115-3:2016.","abbreviation":"EIP","support_links":[{"url":"standards@energistics.org","name":"EIP Metadata Info","type":"Support email"},{"url":"https://www.energistics.org/energy-industry-profile-faq/","name":"EIP FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.energistics.org/metadata-reference-materials/","name":"Reference Materials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001360","bsg-s001360"],"name":"FAIRsharing record for: Energy Industry Profile (EIP) v1.1 of ISO-19115-1:2014","abbreviation":"EIP","url":"https://fairsharing.org/10.25504/FAIRsharing.okQOaq","doi":"10.25504/FAIRsharing.okQOaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Energy Industry Profile (EIP) of ISO 19115-1:2014 is an open, non-proprietary exchange standard for metadata used to document information resources, and in particular resources referenced to a geographic location, e.g., geospatial datasets and web services, physical resources with associated location, or mapping, interpretation, and modeling datasets. It was developed using input and requirements provided by stakeholders of the global upstream oil \u0026 gas industry, and is an ISO Conformance Level 1 profile of the widely adopted international standards ISO 19115-1:2014 which provides XML implementation guidance with reference to ISO Technical Specification 19115-3:2016.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Energy Engineering","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Energistics Product Use License Agreement","licence_id":280,"licence_url":"https://www.energistics.org/product-license-agreement/","link_id":875,"relation":"undefined"}],"grants":[{"id":6646,"fairsharing_record_id":1033,"organisation_id":861,"relation":"maintains","created_at":"2021-09-30T09:28:08.820Z","updated_at":"2021-09-30T09:28:08.820Z","grant_id":null,"is_lead":true,"saved_state":{"id":861,"name":"Energistics Consortium, Houston, Texas, United States","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1047","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-24T08:34:11.856Z","metadata":{"doi":"10.25504/FAIRsharing.p77ph9","name":"Resource Description Framework","status":"ready","contacts":[{"contact_name":"RDF Comments General List","contact_email":"public-rdf-comments@w3.org","contact_orcid":null}],"homepage":"https://www.w3.org/TR/rdf11-concepts/","citations":[],"identifier":1047,"description":"The Resource Description Framework (RDF) is a framework for representing information in the Web. This document defines an abstract syntax (a data model) which serves to link all RDF-based languages and specifications. The abstract syntax has two key data structures: RDF graphs are sets of subject-predicate-object triples, where the elements may be IRIs, blank nodes, or datatyped literals. They are used to express descriptions of resources. RDF datasets are used to organize collections of RDF graphs, and comprise a default graph and zero or more named graphs. RDF 1.1 Concepts and Abstract Syntax also introduces key concepts and terminology, and discusses datatyping and the handling of fragment identifiers in IRIs within RDF graphs.","abbreviation":"RDF","support_links":[{"url":"https://www.w3.org/2001/sw/wiki/RDF1.1_Errata","name":"Errata","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000559","bsg-s000559"],"name":"FAIRsharing record for: Resource Description Framework","abbreviation":"RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.p77ph9","doi":"10.25504/FAIRsharing.p77ph9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Resource Description Framework (RDF) is a framework for representing information in the Web. This document defines an abstract syntax (a data model) which serves to link all RDF-based languages and specifications. The abstract syntax has two key data structures: RDF graphs are sets of subject-predicate-object triples, where the elements may be IRIs, blank nodes, or datatyped literals. They are used to express descriptions of resources. RDF datasets are used to organize collections of RDF graphs, and comprise a default graph and zero or more named graphs. RDF 1.1 Concepts and Abstract Syntax also introduces key concepts and terminology, and discusses datatyping and the handling of fragment identifiers in IRIs within RDF graphs.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18258},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11864},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12046},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13180},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13202},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13239},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13245},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13896}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":418,"relation":"undefined"}],"grants":[{"id":11747,"fairsharing_record_id":1047,"organisation_id":3206,"relation":"maintains","created_at":"2024-04-24T08:22:11.452Z","updated_at":"2024-04-24T08:22:11.452Z","grant_id":null,"is_lead":true,"saved_state":{"id":3206,"name":"W3C RDF Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2dFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--14ebea4e76c832b229dde80e84c21b79909ce52b/Screenshot%20from%202024-04-24%2009-19-48.png?disposition=inline","exhaustive_licences":true}},{"id":"1048","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:44.210Z","metadata":{"doi":"10.25504/FAIRsharing.pxvkt0","name":"Variation data representation and exchange","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"admin@varioml.org"}],"homepage":"http://varioml.org","identifier":1048,"description":"Data using the VarioML standard can be integrated with the global library of purely genetic data. VarioML is a central prerequisite for effective modelling of phenotype data and genotype-to-phenotype relationships. It removes the obstacles to the effective passing of variant data from discovery laboratories into the biomedical database world. Now all that is needed is the broad participation of the genotype-to-phenotype research community.","abbreviation":"VarioML","support_links":[{"url":"http://varioml.org/faq.htm","type":"Frequently Asked Questions (FAQs)"}]},"legacy_ids":["bsg-000298","bsg-s000298"],"name":"FAIRsharing record for: Variation data representation and exchange","abbreviation":"VarioML","url":"https://fairsharing.org/10.25504/FAIRsharing.pxvkt0","doi":"10.25504/FAIRsharing.pxvkt0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data using the VarioML standard can be integrated with the global library of purely genetic data. VarioML is a central prerequisite for effective modelling of phenotype data and genotype-to-phenotype relationships. It removes the obstacles to the effective passing of variant data from discovery laboratories into the biomedical database world. Now all that is needed is the broad participation of the genotype-to-phenotype research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":618,"pubmed_id":23031277,"title":"VarioML framework for comprehensive variation data representation and exchange","year":2012,"url":"http://doi.org/10.1186/1471-2105-13-254","authors":"Byrne M, Fokkema IF, Lancaster O, Adamusiak T, Ahonen-Bishopp A, Atlan D, Beroud C, Cornell M, Dalgleish R, Devereau A, Patrinos GP, Swertz MA, Taschner PE, Thorisson GA, Vihinen M, Brookes AJ, Muilu J","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-13-254","created_at":"2021-09-30T08:23:28.014Z","updated_at":"2021-09-30T08:23:28.014Z"}],"licence_links":[],"grants":[{"id":6673,"fairsharing_record_id":1048,"organisation_id":1098,"relation":"maintains","created_at":"2021-09-30T09:28:09.793Z","updated_at":"2021-09-30T09:28:09.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":1098,"name":"GEN2PHEN","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6674,"fairsharing_record_id":1048,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:09.834Z","updated_at":"2021-09-30T09:29:49.978Z","grant_id":425,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1049","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:53.878Z","metadata":{"doi":"10.25504/FAIRsharing.1evfpc","name":"Computer Retrieval of Information on Scientific Projects Thesaurus","status":"uncertain","contacts":[{"contact_name":"Anita Ghebeles","contact_email":"af8d@nih.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/1526","identifier":1049,"description":"CRISP is a terminology used for indexing biomedical information. CRISP contains over 8,000 preferred terms that are grouped hierarchically into 11 domains.","abbreviation":"CRISP","year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CRISP","name":"CRISP","portal":"BioPortal"}]},"legacy_ids":["bsg-002681","bsg-s002681"],"name":"FAIRsharing record for: Computer Retrieval of Information on Scientific Projects Thesaurus","abbreviation":"CRISP","url":"https://fairsharing.org/10.25504/FAIRsharing.1evfpc","doi":"10.25504/FAIRsharing.1evfpc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CRISP is a terminology used for indexing biomedical information. CRISP contains over 8,000 preferred terms that are grouped hierarchically into 11 domains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Social Science","Medicine","Chemical Biology","Biomedical Science","Biology"],"domains":["Food","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":903,"pubmed_id":8718842,"title":"Taking a bite out of CRISP. Strategies on using and conducting searches in the Computer Retrieval of Information on Scientific Projects database.","year":1996,"url":"https://www.ncbi.nlm.nih.gov/pubmed/8718842","authors":"Bair AH,Brown LP,Pugh LC,Borucki LC,Spatz DL","journal":"Comput Nurs","doi":null,"created_at":"2021-09-30T08:23:59.738Z","updated_at":"2021-09-30T08:23:59.738Z"}],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":476,"relation":"undefined"}],"grants":[{"id":6675,"fairsharing_record_id":1049,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:09.872Z","updated_at":"2021-09-30T09:28:09.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1055","type":"fairsharing_records","attributes":{"created_at":"2018-10-15T19:51:04.000Z","updated_at":"2022-07-20T12:27:58.124Z","metadata":{"doi":"10.25504/FAIRsharing.9614ca","name":"Cooperative Ocean-Atmosphere Research Data Service Conventions","status":"ready","contacts":[{"contact_email":"oar.pmel.contact_ferret@noaa.gov"}],"homepage":"https://ferret.pmel.noaa.gov/Ferret/documentation/coards-netcdf-conventions","identifier":1055,"description":"The COARDS conventions are a set of conventions adopted in order to promote the interchange and sharing of files created with the netCDF Application Programmer Interface (API). This standard is based upon version 2.3 of netCDF. Documentation of the netCDF API may be found in the NetCDF documentation. All conventions named in that document will be adhered to in this standard unless noted to the contrary. This standard also refers to version 1.7.1 of the Udunits standard supported by Unidata.","abbreviation":"COARDS conventions","support_links":[{"url":"https://www.unidata.ucar.edu/software/netcdf/conventions.html","name":"Unidata NetCDF Conventions","type":"Help documentation"}],"year_creation":1995},"legacy_ids":["bsg-001326","bsg-s001326"],"name":"FAIRsharing record for: Cooperative Ocean-Atmosphere Research Data Service Conventions","abbreviation":"COARDS conventions","url":"https://fairsharing.org/10.25504/FAIRsharing.9614ca","doi":"10.25504/FAIRsharing.9614ca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COARDS conventions are a set of conventions adopted in order to promote the interchange and sharing of files created with the netCDF Application Programmer Interface (API). This standard is based upon version 2.3 of netCDF. Documentation of the netCDF API may be found in the NetCDF documentation. All conventions named in that document will be adhered to in this standard unless noted to the contrary. This standard also refers to version 1.7.1 of the Udunits standard supported by Unidata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Atmospheric Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6681,"fairsharing_record_id":1055,"organisation_id":2056,"relation":"maintains","created_at":"2021-09-30T09:28:10.096Z","updated_at":"2021-09-30T09:28:10.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6680,"fairsharing_record_id":1055,"organisation_id":609,"relation":"maintains","created_at":"2021-09-30T09:28:10.060Z","updated_at":"2021-09-30T09:28:10.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":609,"name":"Cooperative Institute for Research in Environmental Science, University of Colorado Boulder, Boulder, CO, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6682,"fairsharing_record_id":1055,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:28:10.129Z","updated_at":"2021-09-30T09:28:10.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1056","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-26T08:34:22.248Z","metadata":{"doi":"10.25504/FAIRsharing.sjhvyy","name":"CHEMical INFormation Ontology","status":"ready","contacts":[{"contact_name":"Egon Willighagen","contact_email":"egon.willighagen@gmail.com","contact_orcid":"0000-0001-7542-0286"}],"homepage":"https://github.com/semanticchemistry/semanticchemistry","citations":[{"doi":"10.1371/journal.pone.0025513","pubmed_id":21991315,"publication_id":1008}],"identifier":1056,"description":"The Chemical Information Ontology (CHEMINF) aims to establish a standard in representing chemical information. In particular, it aims to produce an ontology to represent chemical structure and to richly describe chemical properties, whether intrinsic or computed.","abbreviation":"CHEMINF","support_links":[{"url":"https://github.com/semanticchemistry/semanticchemistry/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEMINF","name":"CHEMINF","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cheminf.html","name":"cheminf","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000040","bsg-s000040"],"name":"FAIRsharing record for: CHEMical INFormation Ontology","abbreviation":"CHEMINF","url":"https://fairsharing.org/10.25504/FAIRsharing.sjhvyy","doi":"10.25504/FAIRsharing.sjhvyy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chemical Information Ontology (CHEMINF) aims to establish a standard in representing chemical information. In particular, it aims to produce an ontology to represent chemical structure and to richly describe chemical properties, whether intrinsic or computed.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18254},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11708},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11942}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":1008,"pubmed_id":21991315,"title":"The chemical information ontology: provenance and disambiguation for chemical data on the biological semantic web.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0025513","authors":"Hastings J,Chepelev L,Willighagen E,Adams N,Steinbeck C,Dumontier M","journal":"PLoS One","doi":"10.1371/journal.pone.0025513","created_at":"2021-09-30T08:24:11.621Z","updated_at":"2021-09-30T08:24:11.621Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3564,"relation":"applies_to_content"}],"grants":[{"id":6684,"fairsharing_record_id":1056,"organisation_id":1959,"relation":"maintains","created_at":"2021-09-30T09:28:10.178Z","updated_at":"2021-09-30T09:28:10.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6686,"fairsharing_record_id":1056,"organisation_id":3159,"relation":"funds","created_at":"2021-09-30T09:28:10.226Z","updated_at":"2021-09-30T09:29:18.626Z","grant_id":189,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","grant":"KoF 07","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6683,"fairsharing_record_id":1056,"organisation_id":500,"relation":"maintains","created_at":"2021-09-30T09:28:10.153Z","updated_at":"2021-09-30T09:28:10.153Z","grant_id":null,"is_lead":true,"saved_state":{"id":500,"name":"Chemical Information Ontology (CHEMINF) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6685,"fairsharing_record_id":1056,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:28:10.203Z","updated_at":"2021-09-30T09:28:10.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6687,"fairsharing_record_id":1056,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:10.254Z","updated_at":"2021-09-30T09:31:49.600Z","grant_id":1344,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022747/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1057","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:52:04.512Z","metadata":{"doi":"10.25504/FAIRsharing.4ghkfj","name":"Library of Congress Genre/Form Terms for Library and Archival Materials","status":"ready","homepage":"https://id.loc.gov/authorities/genreForms.html","identifier":1057,"description":"The Library of Congress Genre/Form Terms for Library and Archival Materials (LCGFT) is a thesaurus that describes what a work is versus what it is about. For instance, the subject heading Horror films, with appropriate subdivisions, would be assigned to a book about horror films. A cataloger assigning headings to the movie The Texas Chainsaw Massacre would also use Horror films, but it would be a genre/form term since the movie is a horror film, not a movie about horror films. The thesaurus combines both genres and forms. Form is defined as a characteristic of works with a particular format and/or purpose. A \"short\" is a particular form, for example, as is \"animation.\" Genre refers to categories of works that are characterized by similar plots, themes, settings, situations, and characters.","abbreviation":"LCGFT","support_links":[{"url":"https://id.loc.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://www.loc.gov/catdir/cpso/genre_form_faq.pdf","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://id.loc.gov/techcenter/","name":"Download Help","type":"Help documentation"},{"url":"https://listserv.loc.gov/cgi-bin/wa?A0=ID","name":"LOC Linked Data Mailing List","type":"Mailing list"},{"url":"https://www.loc.gov/catdir/cpso/genreformgeneral.html","name":"General Documentation","type":"Help documentation"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LCGFT","name":"LCGFT","portal":"BioPortal"}]},"legacy_ids":["bsg-000913","bsg-s000913"],"name":"FAIRsharing record for: Library of Congress Genre/Form Terms for Library and Archival Materials","abbreviation":"LCGFT","url":"https://fairsharing.org/10.25504/FAIRsharing.4ghkfj","doi":"10.25504/FAIRsharing.4ghkfj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Genre/Form Terms for Library and Archival Materials (LCGFT) is a thesaurus that describes what a work is versus what it is about. For instance, the subject heading Horror films, with appropriate subdivisions, would be assigned to a book about horror films. A cataloger assigning headings to the movie The Texas Chainsaw Massacre would also use Horror films, but it would be a genre/form term since the movie is a horror film, not a movie about horror films. The thesaurus combines both genres and forms. Form is defined as a characteristic of works with a particular format and/or purpose. A \"short\" is a particular form, for example, as is \"animation.\" Genre refers to categories of works that are characterized by similar plots, themes, settings, situations, and characters.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities","Art","Fine Arts"],"domains":["Classification"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":959,"relation":"undefined"}],"grants":[{"id":6688,"fairsharing_record_id":1057,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:10.288Z","updated_at":"2021-09-30T09:28:10.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1063","type":"fairsharing_records","attributes":{"created_at":"2018-09-03T21:21:00.000Z","updated_at":"2022-02-08T10:49:22.372Z","metadata":{"doi":"10.25504/FAIRsharing.87ccfd","name":"Simple Protocol and RDF Query Language Overview","status":"ready","contacts":[{"contact_name":"W3C SPARQL Working Group","contact_email":"public-rdf-dawg-comments@w3.org"}],"homepage":"http://www.w3.org/TR/sparql11-overview/","identifier":1063,"description":"Simple Protocol and RDF Query Language (SPARQL). This document is an overview of SPARQL 1.1. It provides an introduction to a set of W3C specifications that facilitate querying and manipulating RDF graph content on the Web or in an RDF store.","abbreviation":"SPARQL","year_creation":2004},"legacy_ids":["bsg-001269","bsg-s001269"],"name":"FAIRsharing record for: Simple Protocol and RDF Query Language Overview","abbreviation":"SPARQL","url":"https://fairsharing.org/10.25504/FAIRsharing.87ccfd","doi":"10.25504/FAIRsharing.87ccfd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Simple Protocol and RDF Query Language (SPARQL). This document is an overview of SPARQL 1.1. It provides an introduction to a set of W3C specifications that facilitate querying and manipulating RDF graph content on the Web or in an RDF store.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13181}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":["Resource metadata","Graph"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":637,"relation":"undefined"}],"grants":[{"id":6695,"fairsharing_record_id":1063,"organisation_id":3208,"relation":"maintains","created_at":"2021-09-30T09:28:10.480Z","updated_at":"2021-09-30T09:28:10.480Z","grant_id":null,"is_lead":true,"saved_state":{"id":3208,"name":"W3C SPARQL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1064","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T20:52:15.000Z","updated_at":"2023-09-29T11:54:55.777Z","metadata":{"doi":"10.25504/FAIRsharing.b8d42b","name":"Information processing -- Text and office systems -- Standard Generalized Markup Language (SGML)","status":"ready","contacts":[{"contact_name":"Toshiko Kimura","contact_email":"kimura@itscj.ipsj.or.jp"}],"homepage":"https://www.iso.org/standard/16387.html","citations":[],"identifier":1064,"description":"SGML / ISO 8879:1986 is an ISO standard for meta language containing both a concrete syntax for serializing SGML documents and a framework for describing document grammars.","abbreviation":"ISO 8879:1986","support_links":[{"url":"https://www.iso.org/contents/data/standard/01/63/16387.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1986},"legacy_ids":["bsg-001266","bsg-s001266"],"name":"FAIRsharing record for: Information processing -- Text and office systems -- Standard Generalized Markup Language (SGML)","abbreviation":"ISO 8879:1986","url":"https://fairsharing.org/10.25504/FAIRsharing.b8d42b","doi":"10.25504/FAIRsharing.b8d42b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SGML / ISO 8879:1986 is an ISO standard for meta language containing both a concrete syntax for serializing SGML documents and a framework for describing document grammars.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":732,"relation":"undefined"}],"grants":[{"id":6696,"fairsharing_record_id":1064,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:28:10.518Z","updated_at":"2021-09-30T09:28:10.518Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10909,"fairsharing_record_id":1064,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:04:04.080Z","updated_at":"2023-09-27T14:04:04.080Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1065","type":"fairsharing_records","attributes":{"created_at":"2016-04-07T15:05:47.000Z","updated_at":"2021-11-24T13:14:26.898Z","metadata":{"doi":"10.25504/FAIRsharing.cjyac2","name":"CDISC Clinical Trial Registry XML","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"awhite@cdisc.org","contact_orcid":"0000-0002-0612-5344"}],"homepage":"https://www.cdisc.org/standards/data-exchange/ctr-xml","identifier":1065,"description":"CTR-XML lets technology vendors implement tools that support a \"write once, use many times\" solution based on a single XML file that holds the information needed to generate submissions for multiple clinical trials for clinical trial registry submissions primarily to the World Health Organization (WHO), European Medicines Agency (EMA) EudraCT Registry and United States ClinicalTrials.gov.","abbreviation":"CDISC CTR-XML","year_creation":2016},"legacy_ids":["bsg-000646","bsg-s000646"],"name":"FAIRsharing record for: CDISC Clinical Trial Registry XML","abbreviation":"CDISC CTR-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.cjyac2","doi":"10.25504/FAIRsharing.cjyac2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CTR-XML lets technology vendors implement tools that support a \"write once, use many times\" solution based on a single XML file that holds the information needed to generate submissions for multiple clinical trials for clinical trial registry submissions primarily to the World Health Organization (WHO), European Medicines Agency (EMA) EudraCT Registry and United States ClinicalTrials.gov.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17392},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11811},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12065},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12488},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16960}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6697,"fairsharing_record_id":1065,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:10.560Z","updated_at":"2021-09-30T09:28:10.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":6698,"fairsharing_record_id":1065,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:10.602Z","updated_at":"2021-09-30T09:28:10.602Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1066","type":"fairsharing_records","attributes":{"created_at":"2018-09-03T21:29:58.000Z","updated_at":"2022-02-08T10:49:24.850Z","metadata":{"doi":"10.25504/FAIRsharing.a4e736","name":"Segmentation Rules eXchange","status":"ready","contacts":[{"contact_name":"David Pooley","contact_email":"dpooley@sdl.com"}],"homepage":"https://www.gala-global.org/srx-20-april-7-2008","citations":[],"identifier":1066,"description":"The Segmentation Rules eXchange format (SRX provides a standard method to describe segmentation rules that are being exchanged among tools and/or translation vendors. SRX defines an XML vocabulary for describing the rules used for breaking a text document into smaller fragments -or segments- suitable for translation. This specification was originally published by the Localization Industry Standards Association (LISA).","abbreviation":"SRX","support_links":[{"url":"info@gala-global.org","name":"General Contact","type":"Support email"}],"year_creation":2004},"legacy_ids":["bsg-001270","bsg-s001270"],"name":"FAIRsharing record for: Segmentation Rules eXchange","abbreviation":"SRX","url":"https://fairsharing.org/10.25504/FAIRsharing.a4e736","doi":"10.25504/FAIRsharing.a4e736","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Segmentation Rules eXchange format (SRX provides a standard method to describe segmentation rules that are being exchanged among tools and/or translation vendors. SRX defines an XML vocabulary for describing the rules used for breaking a text document into smaller fragments -or segments- suitable for translation. This specification was originally published by the Localization Industry Standards Association (LISA).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics"],"domains":["Resource metadata","Free text"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":560,"relation":"undefined"}],"grants":[{"id":6699,"fairsharing_record_id":1066,"organisation_id":1174,"relation":"maintains","created_at":"2021-09-30T09:28:10.639Z","updated_at":"2021-09-30T09:28:10.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":1174,"name":"Globalization and Localization Association (GALA), Seattle, Washington, United States","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1034","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.793Z","metadata":{"doi":"10.25504/FAIRsharing.newa3z","name":"Biological SPatial Ontology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":"0000-0002-6601-2165"}],"homepage":"http://bioportal.bioontology.org/ontologies/BSPO","identifier":1034,"description":"This ontology represents spatial concepts, anatomical axes, gradients, regions, planes, sides, and surfaces. These concepts can be used at multiple biological scales and in a diversity of taxa, including plants, animals and fungi. The BSPO is used to provide a source of anatomical location descriptors for logically defining anatomical entity classes in anatomy ontologies.","abbreviation":"BSPO","support_links":[{"url":"https://sourceforge.net/projects/obo/lists/obo-anatomy","type":"Mailing list"}],"year_creation":2013},"legacy_ids":["bsg-000007","bsg-s000007"],"name":"FAIRsharing record for: Biological SPatial Ontology","abbreviation":"BSPO","url":"https://fairsharing.org/10.25504/FAIRsharing.newa3z","doi":"10.25504/FAIRsharing.newa3z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology represents spatial concepts, anatomical axes, gradients, regions, planes, sides, and surfaces. These concepts can be used at multiple biological scales and in a diversity of taxa, including plants, animals and fungi. The BSPO is used to provide a source of anatomical location descriptors for logically defining anatomical entity classes in anatomy ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11935}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Animalia","Fungi","Plantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2659,"pubmed_id":25140222,"title":"Nose to tail, roots to shoots: spatial descriptors for phenotypic diversity in the Biological Spatial Ontology.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-34","authors":"Dahdul WM,Cui H,Mabee PM,Mungall CJ,Osumi-Sutherland D,Walls RL,Haendel MA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-34","created_at":"2021-09-30T08:27:26.538Z","updated_at":"2021-09-30T08:27:26.538Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":835,"relation":"undefined"}],"grants":[{"id":6649,"fairsharing_record_id":1034,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:08.912Z","updated_at":"2021-09-30T09:28:08.912Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6648,"fairsharing_record_id":1034,"organisation_id":378,"relation":"maintains","created_at":"2021-09-30T09:28:08.882Z","updated_at":"2021-09-30T09:28:08.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":378,"name":"CARO administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6647,"fairsharing_record_id":1034,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:08.853Z","updated_at":"2021-09-30T09:28:08.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1035","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:05.861Z","metadata":{"doi":"10.25504/FAIRsharing.eqgjeq","name":"Bilateria anatomy","status":"deprecated","contacts":[{"contact_name":"Yannick Haudry","contact_email":"yannick.haudry@embl.de"}],"homepage":"http://purl.bioontology.org/ontology/BILA","identifier":1035,"description":"This is a record of the Bilateria anatomy terminology and ontology. We have been unable to find any further information about this resource.","abbreviation":"BILA","deprecation_date":"2015-04-10","deprecation_reason":"This resource is no longer maintained. Please contact us via the \"Ask Question\" button at the top of this page if you have any information relating to the activity of this ontology."},"legacy_ids":["bsg-000006","bsg-s000006"],"name":"FAIRsharing record for: Bilateria anatomy","abbreviation":"BILA","url":"https://fairsharing.org/10.25504/FAIRsharing.eqgjeq","doi":"10.25504/FAIRsharing.eqgjeq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a record of the Bilateria anatomy terminology and ontology. We have been unable to find any further information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Bilateria"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1081","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:47.856Z","metadata":{"doi":"10.25504/FAIRsharing.10gr18","name":"Vertebrate Trait Ontology","status":"ready","contacts":[{"contact_name":"Jim Reecy","contact_email":"jreecy@iastate.edu"}],"homepage":"https://github.com/AnimalGenome/vertebrate-trait-ontology","identifier":1081,"description":"The Vertebrate Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to the morphology, physiology, or development of vertebrate organisms.","abbreviation":"VT","support_links":[{"url":"caripark@iastate.edu","name":"Carissa Park","type":"Support email"},{"url":"https://github.com/AnimalGenome/vertebrate-trait-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VT","name":"VT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/vt.html","name":"vt","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002749","bsg-s002749"],"name":"FAIRsharing record for: Vertebrate Trait Ontology","abbreviation":"VT","url":"https://fairsharing.org/10.25504/FAIRsharing.10gr18","doi":"10.25504/FAIRsharing.10gr18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vertebrate Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to the morphology, physiology, or development of vertebrate organisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Physiology","Developmental Biology","Physiology","Biology"],"domains":["Phenotype","Morphology"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1702,"pubmed_id":23937709,"title":"The Vertebrate Trait Ontology: a controlled vocabulary for the annotation of trait data across species.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-13","authors":"Park CA,Bello SM,Smith CL,Hu ZL,Munzenmaier DH,Nigam R,Smith JR,Shimoyama M,Eppig JT,Reecy JM","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-13","created_at":"2021-09-30T08:25:30.729Z","updated_at":"2021-09-30T08:25:30.729Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1823,"relation":"undefined"}],"grants":[{"id":6736,"fairsharing_record_id":1081,"organisation_id":3070,"relation":"maintains","created_at":"2021-09-30T09:28:12.036Z","updated_at":"2021-09-30T09:28:12.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":3070,"name":"University of Iowa","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6737,"fairsharing_record_id":1081,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:12.078Z","updated_at":"2021-09-30T09:28:12.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6738,"fairsharing_record_id":1081,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:28:12.116Z","updated_at":"2021-09-30T09:28:59.425Z","grant_id":44,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"2008-35205-18765","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1082","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:58:29.497Z","metadata":{"doi":"10.25504/FAIRsharing.h9g5pe","name":"Protein Affinity Reagent eXtensible Markup Language","status":"ready","contacts":[{"contact_email":"par@psidev.info"}],"homepage":"http://www.psidev.info/index.php?q=node/281","identifier":1082,"description":"The work on PSI-PAR was initiated as part of the ProteomeBinders project and carried out by EMBL-EBI and the PSI-MI work group. The Proteomics Standards Initiative (PSI) aims to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. For detailed information on all PSI activities, please see PSI Home Page. The PSI-PAR format is a standardized means of representing protein affinity reagent data and is designed to facilitate the exchange of information between different databases and/or LIMS systems. PSI-PAR is not a proposed database structure. The PSI-PAR format consists of the PSI-MI XML2.5 schema (originally designed for molecular interactions) and the PSI-PAR controlled vocabulary. In addition, PSI-PAR documentation and examples are available on this web page. The scope of PSI-PAR is PAR and target protein production and characterization.","abbreviation":"PSI-PAR XML","support_links":[{"url":"http://www.psidev.info/node/281","type":"Help documentation"}],"year_creation":2008,"associated_tools":[{"url":"http://www.ebi.ac.uk/intact/validator/start.xhtml","name":"PSI-MI Validator 3.1.2"},{"url":"https://sourceforge.net/projects/psidev/files/PSI-MI%20XML%20lib/","name":"Java XML parser 1.0-beta4"}]},"legacy_ids":["bsg-000137","bsg-s000137"],"name":"FAIRsharing record for: Protein Affinity Reagent eXtensible Markup Language","abbreviation":"PSI-PAR XML","url":"https://fairsharing.org/10.25504/FAIRsharing.h9g5pe","doi":"10.25504/FAIRsharing.h9g5pe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The work on PSI-PAR was initiated as part of the ProteomeBinders project and carried out by EMBL-EBI and the PSI-MI work group. The Proteomics Standards Initiative (PSI) aims to define community standards for data representation in proteomics to facilitate data comparison, exchange and verification. For detailed information on all PSI activities, please see PSI Home Page. The PSI-PAR format is a standardized means of representing protein affinity reagent data and is designed to facilitate the exchange of information between different databases and/or LIMS systems. PSI-PAR is not a proposed database structure. The PSI-PAR format consists of the PSI-MI XML2.5 schema (originally designed for molecular interactions) and the PSI-PAR controlled vocabulary. In addition, PSI-PAR documentation and examples are available on this web page. The scope of PSI-PAR is PAR and target protein production and characterization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Reagent","Affinity","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","France","Germany","Netherlands","Sweden","United Kingdom","United States"],"publications":[{"id":1391,"pubmed_id":19674966,"title":"A community standard format for the representation of protein affinity reagents.","year":2009,"url":"http://doi.org/10.1074/mcp.M900185-MCP200","authors":"Gloriam DE1, Orchard S, Bertinetti D, Björling E, Bongcam-Rudloff E, Borrebaeck CA, Bourbeillon J, Bradbury AR, de Daruvar A, Dübel S, Frank R, Gibson TJ, Gold L, Haslam N, Herberg FW, Hiltke T, Hoheisel JD, Kerrien S, Koegl M, Konthur Z, Korn B, Landegren U, Montecchi-Palazzi L, Palcy S, Rodriguez H, Schweinsberg S, Sievert V, Stoevesandt O, Taussig MJ, Ueffing M, Uhlén M, van der Maarel S, Wingren C, Woollard P, Sherman DJ, Hermjakob H.","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M900185-MCP200","created_at":"2021-09-30T08:24:55.485Z","updated_at":"2021-09-30T08:24:55.485Z"}],"licence_links":[],"grants":[{"id":6740,"fairsharing_record_id":1082,"organisation_id":2377,"relation":"funds","created_at":"2021-09-30T09:28:12.172Z","updated_at":"2021-09-30T09:31:07.640Z","grant_id":1029,"is_lead":false,"saved_state":{"id":2377,"name":"ProteomeBinders European Commission","grant":"RI-CA 026008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6741,"fairsharing_record_id":1082,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:28:12.196Z","updated_at":"2021-09-30T09:30:38.756Z","grant_id":804,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"21211","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6739,"fairsharing_record_id":1082,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:12.148Z","updated_at":"2021-09-30T09:28:12.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1083","type":"fairsharing_records","attributes":{"created_at":"2020-01-08T13:16:29.000Z","updated_at":"2022-07-20T10:32:26.427Z","metadata":{"doi":"10.25504/FAIRsharing.p1dodf","name":"Global Agricultural Concept Scheme","status":"ready","contacts":[{"contact_name":"Tom Baker","contact_email":"tom@tombaker.org"}],"homepage":"https://agrisemantics.github.io/gacs-qip/","identifier":1083,"description":"The Global Agricultural Concept Scheme (GACS) is a SKOS concept scheme with concepts and related terms used in the field of agriculture, broadly defined. GACS is developed by the Food and Agriculture Organization of the United Nations (FAO), the Centre for Agriculture and Biosciences International (CABI), and the USDA National Agricultural Library (NAL), GACS was formed at the intersection of most-frequently-used concepts from their three respective thesauri -- the AGROVOC Concept Scheme, CAB Thesaurus, and the NAL Thesaurus, for which GACS provides a mapping hub. GACS is seen as an important step towards linking and integrating agricultural data of all types to address the long-term challenge of global food security.","abbreviation":"GACS","year_creation":2014},"legacy_ids":["bsg-001426","bsg-s001426"],"name":"FAIRsharing record for: Global Agricultural Concept Scheme","abbreviation":"GACS","url":"https://fairsharing.org/10.25504/FAIRsharing.p1dodf","doi":"10.25504/FAIRsharing.p1dodf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Global Agricultural Concept Scheme (GACS) is a SKOS concept scheme with concepts and related terms used in the field of agriculture, broadly defined. GACS is developed by the Food and Agriculture Organization of the United Nations (FAO), the Centre for Agriculture and Biosciences International (CABI), and the USDA National Agricultural Library (NAL), GACS was formed at the intersection of most-frequently-used concepts from their three respective thesauri -- the AGROVOC Concept Scheme, CAB Thesaurus, and the NAL Thesaurus, for which GACS provides a mapping hub. GACS is seen as an important step towards linking and integrating agricultural data of all types to address the long-term challenge of global food security.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Food Security","Agricultural Engineering","Agriculture"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2688,"pubmed_id":null,"title":"GACS Core: Creation of a Global Agricultural Concept Scheme","year":2016,"url":"http://eprints.rclis.org/30221/","authors":"Baker, Thomas and Caracciolo, Caterina and Doroszenko, Anton and Suominen, Osma","journal":"In 10th International Conference on Metadata and Semantics Research, 22 November 2016. [Conference paper]","doi":null,"created_at":"2021-09-30T08:27:30.211Z","updated_at":"2021-09-30T08:27:30.211Z"}],"licence_links":[],"grants":[{"id":6742,"fairsharing_record_id":1083,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:12.222Z","updated_at":"2021-09-30T09:28:12.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6743,"fairsharing_record_id":1083,"organisation_id":2939,"relation":"maintains","created_at":"2021-09-30T09:28:12.247Z","updated_at":"2021-09-30T09:28:12.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6744,"fairsharing_record_id":1083,"organisation_id":1179,"relation":"maintains","created_at":"2021-09-30T09:28:12.278Z","updated_at":"2021-09-30T09:28:12.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":1179,"name":"Global Open Data for Agriculture and Nutrition (GODAN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6745,"fairsharing_record_id":1083,"organisation_id":336,"relation":"maintains","created_at":"2021-09-30T09:28:12.319Z","updated_at":"2021-09-30T09:28:12.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":336,"name":"CABI","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1084","type":"fairsharing_records","attributes":{"created_at":"2015-10-06T15:00:07.000Z","updated_at":"2022-07-20T12:48:01.263Z","metadata":{"doi":"10.25504/FAIRsharing.y49yj6","name":"Herbarium information standards and protocols for interchange of data","status":"ready","contacts":[{"contact_name":"Steve Kelling","contact_email":"stk2@cornell.edu"}],"homepage":"https://github.com/tdwg/prior-standards/tree/master/hispid3","identifier":1084,"description":"The 'Herbarium Information Standards and Protocols for Interchange of Data' (HISPID) is a standard format for the interchange of electronic herbarium specimen information. HISPID has been developed by a committee of representatives from all major Australian herbaria. This interchange standard was first published in 1989, with a revised version published in 1993./nHISPID3 (version 3) is an accession-based interchange standard. Although many fields refer to attributes of the taxon they should be construed as applying to the specimen represented by the record, not to the taxon per se. The interchange of taxonomic, nomenclatural, bibliographic, typification, rare and endangered plant conservation, and other related information is not dealt with in this standard, unless it specifically refers to a particular accession (record). While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":"HISPID3","support_links":[{"url":"http://plantnet.rbgsyd.nsw.gov.au/HISCOM/HISPID/HISPID3/H3.html","type":"Help documentation"}],"year_creation":1989},"legacy_ids":["bsg-000623","bsg-s000623"],"name":"FAIRsharing record for: Herbarium information standards and protocols for interchange of data","abbreviation":"HISPID3","url":"https://fairsharing.org/10.25504/FAIRsharing.y49yj6","doi":"10.25504/FAIRsharing.y49yj6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The 'Herbarium Information Standards and Protocols for Interchange of Data' (HISPID) is a standard format for the interchange of electronic herbarium specimen information. HISPID has been developed by a committee of representatives from all major Australian herbaria. This interchange standard was first published in 1989, with a revised version published in 1993./nHISPID3 (version 3) is an accession-based interchange standard. Although many fields refer to attributes of the taxon they should be construed as applying to the specimen represented by the record, not to the taxon per se. The interchange of taxonomic, nomenclatural, bibliographic, typification, rare and endangered plant conservation, and other related information is not dealt with in this standard, unless it specifically refers to a particular accession (record). While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12277}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity","Life Science","Plant Genetics"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":6746,"fairsharing_record_id":1084,"organisation_id":2213,"relation":"maintains","created_at":"2021-09-30T09:28:12.361Z","updated_at":"2021-09-30T09:28:12.361Z","grant_id":null,"is_lead":false,"saved_state":{"id":2213,"name":"Observations and Specimens Interest Group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1085","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:01.861Z","metadata":{"doi":"10.25504/FAIRsharing.g0a7s0","name":"Physico-chemical process","status":"deprecated","contacts":[{"contact_name":"Janna Hasting","contact_email":"hastings@ebi.ac.uk"}],"homepage":"http://purl.bioontology.org/ontology/REX","identifier":1085,"description":"REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX.","abbreviation":"REX","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/REX","name":"REX","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/rex.html","name":"rex","portal":"OBO Foundry"}],"deprecation_date":"2017-11-22","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000042","bsg-s000042"],"name":"FAIRsharing record for: Physico-chemical process","abbreviation":"REX","url":"https://fairsharing.org/10.25504/FAIRsharing.g0a7s0","doi":"10.25504/FAIRsharing.g0a7s0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REX is an ontology of physico-chemical processes, i.e. physico-chemical changes occurring in course of time. REX includes both microscopic processes (involving molecular entities or subatomic particles) and macroscopic processes. Some biochemical processes from Gene Ontology (GO Biological process) can be described as instances of REX.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry","Life Science"],"domains":["Reaction data","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6747,"fairsharing_record_id":1085,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:12.399Z","updated_at":"2021-09-30T09:28:12.399Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1070","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T11:50:48.913Z","metadata":{"doi":"10.25504/FAIRsharing.qrrvyk","name":"Castor Bean Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_347:ROOT","citations":[],"identifier":1070,"description":"The Castor Bean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","abbreviation":"CO_347","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video tutorials","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001124","bsg-s001124"],"name":"FAIRsharing record for: Castor Bean Ontology","abbreviation":"CO_347","url":"https://fairsharing.org/10.25504/FAIRsharing.qrrvyk","doi":"10.25504/FAIRsharing.qrrvyk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Castor Bean Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Ricinus communis"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1344,"relation":"undefined"}],"grants":[{"id":6703,"fairsharing_record_id":1070,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:10.751Z","updated_at":"2021-09-30T09:28:10.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1071","type":"fairsharing_records","attributes":{"created_at":"2019-01-22T12:04:30.000Z","updated_at":"2024-01-28T15:57:47.922Z","metadata":{"doi":"10.25504/FAIRsharing.rfLD2u","name":"Enzyme Commission Number","status":"ready","contacts":[{"contact_name":"Dr Gerard P. Moss","contact_email":"g.p.moss@qmul.ac.uk"}],"homepage":"https://www.qmul.ac.uk/sbcs/iubmb/enzyme/rules.html","citations":[],"identifier":1071,"description":"In its report in 1961, the first Enzyme Commission devised a system for enzyme classification that also serves as a basis for assigning code numbers. These code numbers, prefixed by EC, contain four elements separated by points / full stops and are now widely in use. The first number shows to which of the six main divisions (classes) the enzyme belongs and therefore identifies the class of reaction catalysed. The second number indicates the subclass, and generally contains information about the type of compound or group involved. The third figure gives the sub-subclass, which further specifies the type of reaction involved. The fourth figure is the serial number of the enzyme in its sub-subclass.","abbreviation":"EC Number","support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iubmb/enzyme/","name":"Recommendations of the Nomenclature Committee of the IUBMB","type":"Help documentation"},{"url":"https://iubmb.org/wp-content/uploads/sites/2790/2018/11/A-Brief-Guide-to-Enzyme-Classification-and-Nomenclature-rev.pdf","name":"A Brief Guide to Enzyme Nomenclature and Classification (PDF)","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Enzyme_Commission_number","name":"EC Number","type":"Wikipedia"}],"year_creation":1961,"cross_references":[{"url":"https://bioregistry.io/registry/eccode","name":"Bioregistry","portal":"Other"}],"regular_expression":"^\\d{1,2}(((\\.\\d{1,3}){1,3})|(\\.\\d+){2}\\.n\\d{1,3})?$"},"legacy_ids":["bsg-001343","bsg-s001343"],"name":"FAIRsharing record for: Enzyme Commission Number","abbreviation":"EC Number","url":"https://fairsharing.org/10.25504/FAIRsharing.rfLD2u","doi":"10.25504/FAIRsharing.rfLD2u","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In its report in 1961, the first Enzyme Commission devised a system for enzyme classification that also serves as a basis for assigning code numbers. These code numbers, prefixed by EC, contain four elements separated by points / full stops and are now widely in use. The first number shows to which of the six main divisions (classes) the enzyme belongs and therefore identifies the class of reaction catalysed. The second number indicates the subclass, and generally contains information about the type of compound or group involved. The third figure gives the sub-subclass, which further specifies the type of reaction involved. The fourth figure is the serial number of the enzyme in its sub-subclass.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16723}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Biochemistry","Enzymology"],"domains":["Enzyme Commission number","Centrally registered identifier","Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6704,"fairsharing_record_id":1071,"organisation_id":1533,"relation":"maintains","created_at":"2021-09-30T09:28:10.793Z","updated_at":"2021-09-30T09:28:10.793Z","grant_id":null,"is_lead":true,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1072","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-05-16T10:21:31.304Z","metadata":{"doi":"10.25504/FAIRsharing.9gx9at","name":"Gene Ontology Annotation File Format 1.0","status":"deprecated","contacts":[],"homepage":"https://github.com/geneontology/geneontology.github.io/blob/e6e554c42cf75312784ecdbca44f858633990e99/_docs/go-annotation-file-gaf-format-10.md","citations":[],"identifier":1072,"description":"Annotation data is submitted to the GO Consortium in the form of gene association files, or GAFs. This standard lays out the format specification for GAF 1.0, however please note that this version of GAF is no longer supported and should not be used.","abbreviation":"GO GAF 1.0","support_links":[{"url":"http://geneontology.org/form/contact-go","type":"Contact form"},{"url":"http://geneontology.org/faq-page","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1999,"deprecation_date":"2022-05-10","deprecation_reason":"This version of GAF is no longer supported and has been deprecated since June 2010. Gene Ontology strongly discourage its use."},"legacy_ids":["bsg-000230","bsg-s000230"],"name":"FAIRsharing record for: Gene Ontology Annotation File Format 1.0","abbreviation":"GO GAF 1.0","url":"https://fairsharing.org/10.25504/FAIRsharing.9gx9at","doi":"10.25504/FAIRsharing.9gx9at","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Annotation data is submitted to the GO Consortium in the form of gene association files, or GAFs. This standard lays out the format specification for GAF 1.0, however please note that this version of GAF is no longer supported and should not be used.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2348,"relation":"undefined"}],"grants":[{"id":6706,"fairsharing_record_id":1072,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:10.936Z","updated_at":"2021-09-30T09:31:27.246Z","grant_id":1175,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U41HG002273-14","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9492,"fairsharing_record_id":1072,"organisation_id":1099,"relation":"maintains","created_at":"2022-05-05T13:13:30.936Z","updated_at":"2022-05-05T13:13:30.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1073","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:26.955Z","metadata":{"doi":"10.25504/FAIRsharing.8qcbs0","name":"National Drug Data File","status":"uncertain","contacts":[{"contact_name":"First DataBank Customer Support","contact_email":"cs@firstdatabank.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1424","identifier":1073,"description":"The National Drug Data File vocabulary supports clinical research and patient care. Please note that we have been unable to confirm the current status of NDDF and its relationship with FDB MedKnowledge. Until that time, the FAIRsharing team has marked this resource as having an Uncertain status. Please get in touch if you have any information.","abbreviation":"NDDF","support_links":[{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/2010AA/NDDF/index.html","name":"2010AA National Drug Data File Source Information","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NDDF","name":"NDDF","portal":"BioPortal"}]},"legacy_ids":["bsg-002649","bsg-s002649"],"name":"FAIRsharing record for: National Drug Data File","abbreviation":"NDDF","url":"https://fairsharing.org/10.25504/FAIRsharing.8qcbs0","doi":"10.25504/FAIRsharing.8qcbs0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Drug Data File vocabulary supports clinical research and patient care. Please note that we have been unable to confirm the current status of NDDF and its relationship with FDB MedKnowledge. Until that time, the FAIRsharing team has marked this resource as having an Uncertain status. Please get in touch if you have any information.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11721}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Medicinal Chemistry"],"domains":["Drug","Chemical entity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":1542,"relation":"undefined"}],"grants":[{"id":6707,"fairsharing_record_id":1073,"organisation_id":1019,"relation":"maintains","created_at":"2021-09-30T09:28:10.973Z","updated_at":"2021-09-30T09:28:10.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":1019,"name":"First Databank (FDB), San Francisco, CA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1077","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T10:48:41.833Z","metadata":{"doi":"10.25504/FAIRsharing.dxx0c","name":"Sorghum Ontology","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_324:ROOT","citations":[],"identifier":1077,"description":"The Sorghum Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_324","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001097","bsg-s001097"],"name":"FAIRsharing record for: Sorghum Ontology","abbreviation":"CO_324","url":"https://fairsharing.org/10.25504/FAIRsharing.dxx0c","doi":"10.25504/FAIRsharing.dxx0c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sorghum Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food","Phenotype"],"taxonomies":["Sorghum bicolor"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1810,"relation":"undefined"}],"grants":[{"id":6712,"fairsharing_record_id":1077,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:28:11.173Z","updated_at":"2021-09-30T09:28:11.173Z","grant_id":null,"is_lead":true,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9303,"fairsharing_record_id":1077,"organisation_id":485,"relation":"funds","created_at":"2022-04-11T12:07:29.005Z","updated_at":"2022-04-11T12:07:29.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1078","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:15.000Z","updated_at":"2022-07-20T10:57:10.652Z","metadata":{"doi":"10.25504/FAIRsharing.ehe3yp","name":"Pigeon Pea Ontology","status":"ready","contacts":[{"contact_name":"Elizabeth Arnaud","contact_email":"e.arnaud@cgiar.org","contact_orcid":"0000-0002-6020-5919"}],"homepage":"https://cropontology.org/term/CO_341:ROOT","citations":[],"identifier":1078,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Pigeon Pea Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_341","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000723","bsg-s000723"],"name":"FAIRsharing record for: Pigeon Pea Ontology","abbreviation":"CO_341","url":"https://fairsharing.org/10.25504/FAIRsharing.ehe3yp","doi":"10.25504/FAIRsharing.ehe3yp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Pigeon Pea Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Cajanus cajan"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":669,"relation":"undefined"}],"grants":[{"id":6713,"fairsharing_record_id":1078,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:28:11.206Z","updated_at":"2021-09-30T09:28:11.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6714,"fairsharing_record_id":1078,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:28:11.239Z","updated_at":"2021-09-30T09:28:11.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1079","type":"fairsharing_records","attributes":{"created_at":"2018-03-11T20:31:40.000Z","updated_at":"2022-07-20T10:49:25.829Z","metadata":{"doi":"10.25504/FAIRsharing.af5655","name":"Beet Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_333:ROOT","citations":[],"identifier":1079,"description":"This ontology was built as part of the AKER project. It describes variables used in beet phenotyping (experimental properties and measurement scale) for each institution and breeding company within the project. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Beet Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_333","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help page","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001139","bsg-s001139"],"name":"FAIRsharing record for: Beet Ontology","abbreviation":"CO_333","url":"https://fairsharing.org/10.25504/FAIRsharing.af5655","doi":"10.25504/FAIRsharing.af5655","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology was built as part of the AKER project. It describes variables used in beet phenotyping (experimental properties and measurement scale) for each institution and breeding company within the project. Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Beet Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16736}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Plant Breeding","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Beta vulgaris"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1771,"relation":"undefined"}],"grants":[{"id":6715,"fairsharing_record_id":1079,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:11.273Z","updated_at":"2021-09-30T09:28:11.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1080","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-07-20T12:28:42.942Z","metadata":{"doi":"10.25504/FAIRsharing.8ktkqy","name":"Biological Collections Ontology","status":"ready","contacts":[{"contact_name":"Ramona Walls","contact_email":"rwalls2008@gmail.com"}],"homepage":"https://github.com/BiodiversityOntologies/bco","citations":[{"doi":"10.1371/journal.pone.0089606","pubmed_id":24595056,"publication_id":2732}],"identifier":1080,"description":"The Biological Collections Ontology (BCO) supports the interoperability of biodiversity data, including data on museum collections, environmental/metagenomic samples, and ecological surveys. The BCO covers distinctions between individuals, organisms, voucher specimens, lots, samples, the relations between these entities, and the processes governing the creation and use of \"samples\". Also within scope are properties including collector, location, time, storage environment, containers, institution, and collection identifiers.","abbreviation":"BCO","support_links":[{"url":"https://groups.google.com/forum/?fromgroups#!forum/bco-discuss","name":"BCO Discuss List","type":"Forum"},{"url":"https://www.youtube.com/watch?v=j37IH9PIeaA","name":"Video Tutorial","type":"Video"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BCO","name":"BCO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bco.html","name":"bco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000827","bsg-s000827"],"name":"FAIRsharing record for: Biological Collections Ontology","abbreviation":"BCO","url":"https://fairsharing.org/10.25504/FAIRsharing.8ktkqy","doi":"10.25504/FAIRsharing.8ktkqy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biological Collections Ontology (BCO) supports the interoperability of biodiversity data, including data on museum collections, environmental/metagenomic samples, and ecological surveys. The BCO covers distinctions between individuals, organisms, voucher specimens, lots, samples, the relations between these entities, and the processes governing the creation and use of \"samples\". Also within scope are properties including collector, location, time, storage environment, containers, institution, and collection identifiers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Metagenomics","Taxonomy","Ecology","Biodiversity"],"domains":["Taxonomic classification","Biological sample annotation","Environmental material","Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Denmark","Germany","Norway","United Kingdom","United States"],"publications":[{"id":2732,"pubmed_id":24595056,"title":"Semantics in support of biodiversity knowledge discovery: an introduction to the biological collections ontology and related ontologies.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0089606","authors":"Walls RL,Deck J,Guralnick R,Baskauf S,Beaman R,Blum S,Bowers S,Buttigieg PL,Davies N,Endresen D,Gandolfo MA,Hanner R,Janning A,Krishtalka L,Matsunaga A,Midford P,Morrison N,O Tuama E,Schildhauer M,Smith B,Stucky BJ,Thomer A,Wieczorek J,Whitacre J,Wooley J","journal":"PLoS One","doi":"10.1371/journal.pone.0089606","created_at":"2021-09-30T08:27:35.514Z","updated_at":"2021-09-30T08:27:35.514Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1780,"relation":"undefined"}],"grants":[{"id":6716,"fairsharing_record_id":1080,"organisation_id":3025,"relation":"maintains","created_at":"2021-09-30T09:28:11.305Z","updated_at":"2021-09-30T09:28:11.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6718,"fairsharing_record_id":1080,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:11.355Z","updated_at":"2021-09-30T09:28:11.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6722,"fairsharing_record_id":1080,"organisation_id":3013,"relation":"maintains","created_at":"2021-09-30T09:28:11.549Z","updated_at":"2021-09-30T09:28:11.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":3013,"name":"University of Arizona, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6724,"fairsharing_record_id":1080,"organisation_id":614,"relation":"maintains","created_at":"2021-09-30T09:28:11.636Z","updated_at":"2021-09-30T09:28:11.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":614,"name":"Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6727,"fairsharing_record_id":1080,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:28:11.729Z","updated_at":"2021-09-30T09:28:11.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6730,"fairsharing_record_id":1080,"organisation_id":673,"relation":"maintains","created_at":"2021-09-30T09:28:11.805Z","updated_at":"2021-09-30T09:28:11.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":673,"name":"Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6734,"fairsharing_record_id":1080,"organisation_id":3068,"relation":"maintains","created_at":"2021-09-30T09:28:11.957Z","updated_at":"2021-09-30T09:28:11.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":3068,"name":"University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6717,"fairsharing_record_id":1080,"organisation_id":1094,"relation":"maintains","created_at":"2021-09-30T09:28:11.329Z","updated_at":"2021-09-30T09:28:11.329Z","grant_id":null,"is_lead":false,"saved_state":{"id":1094,"name":"GBIF Norway","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6719,"fairsharing_record_id":1080,"organisation_id":3055,"relation":"maintains","created_at":"2021-09-30T09:28:11.385Z","updated_at":"2021-09-30T09:28:11.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6721,"fairsharing_record_id":1080,"organisation_id":56,"relation":"maintains","created_at":"2021-09-30T09:28:11.466Z","updated_at":"2021-09-30T09:28:11.466Z","grant_id":null,"is_lead":false,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6723,"fairsharing_record_id":1080,"organisation_id":631,"relation":"maintains","created_at":"2021-09-30T09:28:11.594Z","updated_at":"2021-09-30T09:28:11.594Z","grant_id":null,"is_lead":true,"saved_state":{"id":631,"name":"Cyverse, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6725,"fairsharing_record_id":1080,"organisation_id":2579,"relation":"maintains","created_at":"2021-09-30T09:28:11.673Z","updated_at":"2021-09-30T09:28:11.673Z","grant_id":null,"is_lead":false,"saved_state":{"id":2579,"name":"Smithsonian National Museum of Natural History, Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6726,"fairsharing_record_id":1080,"organisation_id":338,"relation":"maintains","created_at":"2021-09-30T09:28:11.706Z","updated_at":"2021-09-30T09:28:11.706Z","grant_id":null,"is_lead":false,"saved_state":{"id":338,"name":"California Academy of Sciences, San Francisco, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6728,"fairsharing_record_id":1080,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:28:11.754Z","updated_at":"2021-09-30T09:28:11.754Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6729,"fairsharing_record_id":1080,"organisation_id":3028,"relation":"maintains","created_at":"2021-09-30T09:28:11.780Z","updated_at":"2021-09-30T09:28:11.780Z","grant_id":null,"is_lead":false,"saved_state":{"id":3028,"name":"University of California Berkeley, Berkeley, California, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6731,"fairsharing_record_id":1080,"organisation_id":1188,"relation":"maintains","created_at":"2021-09-30T09:28:11.836Z","updated_at":"2021-09-30T09:28:11.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":1188,"name":"Gonzaga University, Spokane, Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6732,"fairsharing_record_id":1080,"organisation_id":229,"relation":"maintains","created_at":"2021-09-30T09:28:11.877Z","updated_at":"2021-09-30T09:28:11.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":229,"name":"Biodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6733,"fairsharing_record_id":1080,"organisation_id":1961,"relation":"maintains","created_at":"2021-09-30T09:28:11.919Z","updated_at":"2021-09-30T09:28:11.919Z","grant_id":null,"is_lead":false,"saved_state":{"id":1961,"name":"National Center for Ecological Analysis and Synthesis (NCEAS), Santa Barbara, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6735,"fairsharing_record_id":1080,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:28:11.994Z","updated_at":"2021-09-30T09:28:11.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9166,"fairsharing_record_id":1080,"organisation_id":1622,"relation":"maintains","created_at":"2022-04-11T12:07:18.790Z","updated_at":"2022-04-11T12:07:18.790Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1089","type":"fairsharing_records","attributes":{"created_at":"2018-03-09T08:36:02.000Z","updated_at":"2021-11-24T13:17:42.358Z","metadata":{"name":"EOSC Datasets Minimum Information","status":"in_development","contacts":[{"contact_name":"Rafael Jimenez","contact_email":"rafael.jimenez@elixir-europe.org"}],"homepage":"https://eoscpilot.eu/sites/default/files/eoscpilot-d6.3.pdf","identifier":1089,"description":"These guidelines will define the minimum metadata properties that should be present across existing data models, and which should be exposed by data resources, facilitating both users and programmatic services to locate and access data. The EDMI metadata guidelines thus aim to establish and encourage the adoption of a common and minimum set of metadata properties across different scientific domains, leveraging existing data models and access interfaces. The EDMI metadata guidelines do not aim to be a new data model to describe datasets, but rather to complement existing data models.","abbreviation":"EDMI-Functional","year_creation":2018},"legacy_ids":["bsg-001135","bsg-s001135"],"name":"FAIRsharing record for: EOSC Datasets Minimum Information","abbreviation":"EDMI-Functional","url":"https://fairsharing.org/fairsharing_records/1089","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines will define the minimum metadata properties that should be present across existing data models, and which should be exposed by data resources, facilitating both users and programmatic services to locate and access data. The EDMI metadata guidelines thus aim to establish and encourage the adoption of a common and minimum set of metadata properties across different scientific domains, leveraging existing data models and access interfaces. The EDMI metadata guidelines do not aim to be a new data model to describe datasets, but rather to complement existing data models.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18243},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11314},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12946},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13328},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13339}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Computer Science","Subject Agnostic"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1090","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2024-02-28T13:54:56.769Z","metadata":{"doi":"10.25504/FAIRsharing.jtz0dv","name":"Diabetes Mellitus Treatment Ontology","status":"deprecated","contacts":[{"contact_name":"Shaker El-Sappagh","contact_email":"shaker_elsapagh@yahoo.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/DMTO","citations":[{"doi":"10.1186/s13326-018-0176-y","pubmed_id":29409535,"publication_id":2343}],"identifier":1090,"description":"The Diabetes Mellitus Treatment Ontology (DMTO) was created to model type 2 diabetes mellitus (T2DM) treatment. It models T2DM patients’ current conditions, previous profiles, and T2DM-related aspects, including complications, symptoms, lab tests, interactions, treatment plan (TP) frameworks, and glucose-related diseases and medications.","abbreviation":"DMTO","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DMTO","name":"DMTO","portal":"BioPortal"}],"deprecation_date":"2024-02-28","deprecation_reason":"This resource has not been updated on BioPortal since 2017, we cannot find an alternative homepage, and the contacts for the resource have not responded to our enquiries, therefore we consider this resource deprecated. Please get in touch with us if you have information about the current status of this resource."},"legacy_ids":["bsg-000782","bsg-s000782"],"name":"FAIRsharing record for: Diabetes Mellitus Treatment Ontology","abbreviation":"DMTO","url":"https://fairsharing.org/10.25504/FAIRsharing.jtz0dv","doi":"10.25504/FAIRsharing.jtz0dv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Diabetes Mellitus Treatment Ontology (DMTO) was created to model type 2 diabetes mellitus (T2DM) treatment. It models T2DM patients’ current conditions, previous profiles, and T2DM-related aspects, including complications, symptoms, lab tests, interactions, treatment plan (TP) frameworks, and glucose-related diseases and medications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Diabetology"],"domains":["Diabetes mellitus","Treatment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Egypt","South Korea","United States"],"publications":[{"id":2343,"pubmed_id":29409535,"title":"DMTO: a realistic ontology for standard diabetes mellitus treatment.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0176-y","authors":"El-Sappagh S,Kwak D,Ali F,Kwak KS","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0176-y","created_at":"2021-09-30T08:26:47.913Z","updated_at":"2021-09-30T08:26:47.913Z"}],"licence_links":[],"grants":[{"id":6761,"fairsharing_record_id":1090,"organisation_id":1350,"relation":"maintains","created_at":"2021-09-30T09:28:12.999Z","updated_at":"2021-09-30T09:28:12.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":1350,"name":"Inha University, Nam-gu, Incheon, South Korea","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6759,"fairsharing_record_id":1090,"organisation_id":201,"relation":"maintains","created_at":"2021-09-30T09:28:12.929Z","updated_at":"2021-09-30T09:28:12.929Z","grant_id":null,"is_lead":false,"saved_state":{"id":201,"name":"Benha University, Meit Ghamr - Benha, Banha, Egypt","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6760,"fairsharing_record_id":1090,"organisation_id":1629,"relation":"maintains","created_at":"2021-09-30T09:28:12.968Z","updated_at":"2021-09-30T09:28:12.968Z","grant_id":null,"is_lead":false,"saved_state":{"id":1629,"name":"Kean University, Union, NJ, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1091","type":"fairsharing_records","attributes":{"created_at":"2017-11-30T12:55:16.000Z","updated_at":"2022-12-07T16:03:02.027Z","metadata":{"doi":"10.25504/FAIRsharing.7b0fc3","name":"ThermoML","status":"ready","contacts":[{"contact_name":"Kenneth Kroenlein","contact_email":"kenneth.kroenlein@nist.gov"}],"homepage":"https://www.nist.gov/mml/acmd/trc/thermoml","identifier":1091,"description":"ThermoML is an XML-based IUPAC standard for storage and exchange of experimental thermophysical and thermochemical property data, first developed as an IUPAC project in 2006, and extended in 2011. At present, ThermoML is being used by a number of process design packages as a data input format, as well as more broadly on the Internet as a data dissemination format.","abbreviation":"ThermoML","support_links":[{"url":"https://www.facebook.com/usnistgov/","name":"facebook","type":"Facebook"},{"url":"https://www.youtube.com/user/USNISTGOV","name":"Youtube","type":"Video"},{"url":"https://www.nist.gov/about-nist/contact-us","name":"Contact form","type":"Contact form"},{"url":"https://www.iupac.org/publications/pac/83/10/1937/","name":"IUPAC Standard Document","type":"Help documentation"},{"url":"https://twitter.com/usnistgov","type":"Twitter"}],"year_creation":2006,"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010422","name":"re3data:r3d100010422","portal":"re3data"}]},"legacy_ids":["bsg-001092","bsg-s001092"],"name":"FAIRsharing record for: ThermoML","abbreviation":"ThermoML","url":"https://fairsharing.org/10.25504/FAIRsharing.7b0fc3","doi":"10.25504/FAIRsharing.7b0fc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ThermoML is an XML-based IUPAC standard for storage and exchange of experimental thermophysical and thermochemical property data, first developed as an IUPAC project in 2006, and extended in 2011. At present, ThermoML is being used by a number of process design packages as a data input format, as well as more broadly on the Internet as a data dissemination format.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11737}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Thermodynamics","Chemistry","Natural Science","Chemical Engineering"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1956,"pubmed_id":null,"title":"Update on ThermoML","year":2017,"url":"http://doi.org/10.1515/ci-2017-0314","authors":"Kenneth Kroenlein","journal":"Chemistry International","doi":"10.1515/ci-2017-0314","created_at":"2021-09-30T08:26:00.130Z","updated_at":"2021-09-30T08:26:00.130Z"},{"id":2415,"pubmed_id":null,"title":"XML-Based IUPAC standard for experimental, predicted, and critically evaluated thermodynamic property data storage and capture (ThermoML)","year":2006,"url":"http://doi.org/10.1351/pac200678030541","authors":"Frenkel,M.; Chirico, R.D.: Diky,V,; Dong, Q.; Marsh,K.N.; Dymond,J.H.; Wakeham,W.A.; Stein, S.E.; Koenigsberger E.; Goodwin, A.R.","journal":"Pure and Applied Chemistry, Vol 78 (3), 541-612,","doi":"10.1351/pac200678030541","created_at":"2021-09-30T08:26:56.428Z","updated_at":"2021-09-30T08:26:56.428Z"}],"licence_links":[],"grants":[{"id":6762,"fairsharing_record_id":1091,"organisation_id":2824,"relation":"maintains","created_at":"2021-09-30T09:28:13.027Z","updated_at":"2021-09-30T09:28:13.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":2824,"name":"Thermodynamics Research Center (TRC), National Institute of Standards and Technology (NIST)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1092","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:45:20.000Z","updated_at":"2022-07-20T12:44:43.886Z","metadata":{"doi":"10.25504/FAIRsharing.c7f4d7","name":"Vitis Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_356:ROOT","citations":[],"identifier":1092,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Vitis Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_356","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"},{"url":"https://urgi-git.versailles.inra.fr/urgi-is/ontologies/tree/develop/Vitis","name":"Vitis Git Repository","type":"Help documentation"}]},"legacy_ids":["bsg-001134","bsg-s001134"],"name":"FAIRsharing record for: Vitis Ontology","abbreviation":"CO_356","url":"https://fairsharing.org/10.25504/FAIRsharing.c7f4d7","doi":"10.25504/FAIRsharing.c7f4d7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Vitis Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Vitis"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1595,"relation":"undefined"}],"grants":[{"id":6764,"fairsharing_record_id":1092,"organisation_id":3181,"relation":"maintains","created_at":"2021-09-30T09:28:13.081Z","updated_at":"2021-09-30T09:28:13.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":3181,"name":"Versailles-Grignon Research Centre, INRA, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6763,"fairsharing_record_id":1092,"organisation_id":1198,"relation":"maintains","created_at":"2021-09-30T09:28:13.058Z","updated_at":"2021-09-30T09:28:13.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":1198,"name":"Grand-Est - Colmar Research Centre, INRAE, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1093","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:34:52.000Z","updated_at":"2022-07-20T12:25:29.647Z","metadata":{"doi":"10.25504/FAIRsharing.1c1738","name":"Sugar Kelp Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_360:ROOT","citations":[],"identifier":1093,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sugar Kelp Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_360","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"}]},"legacy_ids":["bsg-001133","bsg-s001133"],"name":"FAIRsharing record for: Sugar Kelp Trait Ontology","abbreviation":"CO_360","url":"https://fairsharing.org/10.25504/FAIRsharing.1c1738","doi":"10.25504/FAIRsharing.1c1738","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sugar Kelp Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Marine environment","Phenotype"],"taxonomies":["Saccharina latissima"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1468,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1074","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2022-07-20T12:52:35.506Z","metadata":{"doi":"10.25504/FAIRsharing.y0kqgt","name":"Library of Congress Medium of Performance Thesaurus for Music","status":"ready","homepage":"https://id.loc.gov/authorities/performanceMediums.html","identifier":1074,"description":"The Library of Congress Medium of Performance Thesaurus (LCMPT) for Music is a stand-alone vocabulary that provides terminology to describe the instruments, voices, etc., used in the performance of musical works. The core terms in LCMPT are based chiefly on existing LC subject headings (LCSH), but some additional terms that do not already appear in LCSH have also been included.","abbreviation":"LCMPT","support_links":[{"url":"https://id.loc.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://id.loc.gov/techcenter/searching.html","name":"Search Help","type":"Help documentation"},{"url":"https://id.loc.gov/techcenter/","name":"Download Help","type":"Help documentation"},{"url":"https://listserv.loc.gov/cgi-bin/wa?A0=ID","name":"LOC Linked Data Mailing List","type":"Mailing list"},{"url":"https://www.loc.gov/aba/cataloging/subject/","name":"About LCSH","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001080","bsg-s001080"],"name":"FAIRsharing record for: Library of Congress Medium of Performance Thesaurus for Music","abbreviation":"LCMPT","url":"https://fairsharing.org/10.25504/FAIRsharing.y0kqgt","doi":"10.25504/FAIRsharing.y0kqgt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Medium of Performance Thesaurus (LCMPT) for Music is a stand-alone vocabulary that provides terminology to describe the instruments, voices, etc., used in the performance of musical works. The core terms in LCMPT are based chiefly on existing LC subject headings (LCSH), but some additional terms that do not already appear in LCSH have also been included.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fine Arts","Musicology"],"domains":["Classification"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":888,"relation":"undefined"}],"grants":[{"id":6708,"fairsharing_record_id":1074,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:11.010Z","updated_at":"2021-09-30T09:28:11.010Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1075","type":"fairsharing_records","attributes":{"created_at":"2020-02-26T13:33:24.000Z","updated_at":"2022-02-08T10:31:22.839Z","metadata":{"doi":"10.25504/FAIRsharing.efb730","name":"Research Information Systems File Format","status":"ready","homepage":"https://web.archive.org/web/20170707033254/http://www.researcherid.com/resources/html/help_upload.htm","identifier":1075,"description":"A Research Information Systems (RIS) file is a plain text file that can contain multiple references. RIS files can be exported from reference software such as EndNote and Reference Manager. Each reference is composed of a variable number of fields; and each field is preceded by a six-character label or \"tag.\" Some tags are specific only to certain reference types. Each tag must be in a specific format, and certain other rules apply to all tags. Please note that no current homepage or contact for this format can be found. Please get in touch if you can provide any information.","abbreviation":"RIS","support_links":[{"url":"https://en.wikipedia.org/wiki/RIS_(file_format)","name":"Wikipedia Entry","type":"Wikipedia"}]},"legacy_ids":["bsg-001454","bsg-s001454"],"name":"FAIRsharing record for: Research Information Systems File Format","abbreviation":"RIS","url":"https://fairsharing.org/10.25504/FAIRsharing.efb730","doi":"10.25504/FAIRsharing.efb730","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A Research Information Systems (RIS) file is a plain text file that can contain multiple references. RIS files can be exported from reference software such as EndNote and Reference Manager. Each reference is composed of a variable number of fields; and each field is preceded by a six-character label or \"tag.\" Some tags are specific only to certain reference types. Each tag must be in a specific format, and certain other rules apply to all tags. Please note that no current homepage or contact for this format can be found. Please get in touch if you can provide any information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Software Engineering"],"domains":["Citation","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1076","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:47:37.125Z","metadata":{"doi":"10.25504/FAIRsharing.ah5f2f","name":"Minimal Information for Neural ElectroMagnetic Ontologies","status":"deprecated","contacts":[{"contact_name":"Gwen A. Frishkoff","contact_email":"gfrishkoff@gsu.edu"}],"homepage":"http://nemo.nic.uoregon.edu/wiki/NEMO","citations":[],"identifier":1076,"description":"Minimal Information for Neural ElectroMagnetic Ontologies (MINEMO; formerly \"MIEME\" or \"MINIerp\") is the minimal set of experiment meta-data that is required for datasets that are used in the NEMO project. MINEMO extends MINI (Minimal Information for Neuroscience Investigations)to the ERP domain. Checklist terms are explicated in NEMO, a formal ontology that is designed to support ERP data sharing and integration. MINEMO is also linked to an ERP database and web application (the NEMO portal). Users upload their data and enter MINEMO information through the portal. FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","abbreviation":"MINEMO","year_creation":2010,"deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000166","bsg-s000166"],"name":"FAIRsharing record for: Minimal Information for Neural ElectroMagnetic Ontologies","abbreviation":"MINEMO","url":"https://fairsharing.org/10.25504/FAIRsharing.ah5f2f","doi":"10.25504/FAIRsharing.ah5f2f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal Information for Neural ElectroMagnetic Ontologies (MINEMO; formerly \"MIEME\" or \"MINIerp\") is the minimal set of experiment meta-data that is required for datasets that are used in the NEMO project. MINEMO extends MINI (Minimal Information for Neuroscience Investigations)to the ERP domain. Checklist terms are explicated in NEMO, a formal ontology that is designed to support ERP data sharing and integration. MINEMO is also linked to an ERP database and web application (the NEMO portal). Users upload their data and enter MINEMO information through the portal. FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11606},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12109}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Neurobiology","Electromagnetism","Life Science","Biomedical Science","Electrophysiology"],"domains":["Data acquisition","Neuron","Cognition","Data transformation","Brain"],"taxonomies":["All"],"user_defined_tags":["Electromagnetism"],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":1250,"pubmed_id":22180824,"title":"Minimal Information for Neural Electromagnetic Ontologies (MINEMO): A standards-compliant method for analysis and integration of event-related potentials (ERP) data.","year":2011,"url":"http://doi.org/10.4056/sigs.2025347","authors":"Frishkoff G,Sydes J,Mueller K,Frank R,Curran T,Connolly J,Kilborn K,Molfese D,Perfetti C,Malony A","journal":"Stand Genomic Sci","doi":"10.4056/sigs.2025347","created_at":"2021-09-30T08:24:39.433Z","updated_at":"2021-09-30T08:24:39.433Z"},{"id":1846,"pubmed_id":null,"title":"Ontology-based Analysis of Event-Related Potentials","year":2011,"url":"http://doi.org/10.1.1.352.9697","authors":"Frishkoff, G., Frank, R., \u0026 LePendu, P.","journal":"Proceedings of the International Conference on Biomedical Ontologies (ICBO)","doi":"10.1.1.352.9697","created_at":"2021-09-30T08:25:47.306Z","updated_at":"2021-09-30T08:25:47.306Z"},{"id":1860,"pubmed_id":null,"title":"Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials","year":2009,"url":"http://doi.org/10.1038/npre.2009.3458.1","authors":"Frishkoff, G., Le Pendu, P., Frank, R., Liu, H., \u0026 Dou, D.","journal":"Proceedings of the International Conference on Biomedical Ontologies (ICBO)","doi":"10.1038/npre.2009.3458.1","created_at":"2021-09-30T08:25:48.957Z","updated_at":"2021-09-30T08:25:48.957Z"}],"licence_links":[],"grants":[{"id":6709,"fairsharing_record_id":1076,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:11.052Z","updated_at":"2021-09-30T09:28:11.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6710,"fairsharing_record_id":1076,"organisation_id":3110,"relation":"maintains","created_at":"2021-09-30T09:28:11.094Z","updated_at":"2021-09-30T09:28:11.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1086","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T12:07:03.000Z","updated_at":"2022-12-13T09:38:02.177Z","metadata":{"doi":"10.25504/FAIRsharing.mIJ56E","name":"Vocabularies in the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/Vocabularies.html","citations":[{"publication_id":2966}],"identifier":1086,"description":"The Vocabularies in the Virtual Observatory (VO) document specifies a standard format for vocabularies based on the W3C's Resource Description Framework (RDF) and Simple Knowledge Organization System (SKOS). By adopting a standard and simple format, the IVOA will permit different groups to create and maintain their own specialised vocabularies while letting the rest of the astronomical community access, use, and combine them. The use of current, open standards ensures that VO applications will be able to tap into resources of the growing semantic web. The document provides several examples of useful astronomical vocabularies.","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/Documents/REC/Semantics/Vocabularies-20091007.html","name":"View Standard","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-001206","bsg-s001206"],"name":"FAIRsharing record for: Vocabularies in the Virtual Observatory","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.mIJ56E","doi":"10.25504/FAIRsharing.mIJ56E","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vocabularies in the Virtual Observatory (VO) document specifies a standard format for vocabularies based on the W3C's Resource Description Framework (RDF) and Simple Knowledge Organization System (SKOS). By adopting a standard and simple format, the IVOA will permit different groups to create and maintain their own specialised vocabularies while letting the rest of the astronomical community access, use, and combine them. The use of current, open standards ensures that VO applications will be able to tap into resources of the growing semantic web. The document provides several examples of useful astronomical vocabularies.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11452}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2966,"pubmed_id":null,"title":"Vocabularies in the Virtual Observatory Version 1.19","year":2009,"url":"http://dx.doi.org/10.5479/ADS/bib/2009ivoa.spec.1007G","authors":"Gray, Alasdair J. G.; Gray, Norman; Hessman, Frederic V.; Preite Martinez, Andrea; Derriere, Sébastien; Linde, Tony; Seaman, Rob; Thomas, Brian","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.491Z","updated_at":"2021-09-30T08:28:05.491Z"}],"licence_links":[],"grants":[{"id":6748,"fairsharing_record_id":1086,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:12.432Z","updated_at":"2021-09-30T09:28:12.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6749,"fairsharing_record_id":1086,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:28:12.470Z","updated_at":"2021-09-30T09:28:12.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1087","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:08.725Z","metadata":{"doi":"10.25504/FAIRsharing.cwf4py","name":"Synthetic Biology Open Language","status":"ready","contacts":[{"contact_name":"SBOL Editors","contact_email":"editors@sbolstandard.org"}],"homepage":"https://sbolstandard.org/","citations":[{"doi":"10.1515/jib-2021-0013","pubmed_id":null,"publication_id":3184}],"identifier":1087,"description":"The Synthetic Biology Open Language (SBOL) is a standard used for the in silico representation of genetic designs. SBOL is designed to allow synthetic biologists and genetic engineers to electronically exchange designs, send and receive genetic designs to and from biofabrication centres, facilitate storage of genetic designs in repositories, and embed genetic designs in publications.","abbreviation":"SBOL","support_links":[{"url":"https://sbolstandard.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"https://sbolstandard.org/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/g/sbol-dev","name":"SBOL Developer List","type":"Forum"},{"url":"https://github.com/SynBioDex/SBOL-specification/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://sbolstandard.org/datamodel-examples/","name":"Examples","type":"Help documentation"},{"url":"https://github.com/SynBioDex/SBOL-specification","name":"Github Repository","type":"Github"},{"url":"https://sbolstandard.org/datamodel-about/","name":"About","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"https://validator.sbolstandard.org/","name":"SBOL Validator"},{"url":"https://converter.sbolstandard.org/","name":"SBOL Converter"},{"url":"https://sbolstandard.org/applications/","name":"Synthetic Biology Software Tools"},{"url":"https://sbolstandard.org/libraries/","name":"SBOL Libraries"}]},"legacy_ids":["bsg-000547","bsg-s000547"],"name":"FAIRsharing record for: Synthetic Biology Open Language","abbreviation":"SBOL","url":"https://fairsharing.org/10.25504/FAIRsharing.cwf4py","doi":"10.25504/FAIRsharing.cwf4py","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Synthetic Biology Open Language (SBOL) is a standard used for the in silico representation of genetic designs. SBOL is designed to allow synthetic biologists and genetic engineers to electronically exchange designs, send and receive genetic designs to and from biofabrication centres, facilitate storage of genetic designs in repositories, and embed genetic designs in publications.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10850},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11880},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12049},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12217},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16993}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Synthetic Biology"],"domains":["DNA sequence data","Sequence annotation","Nucleic acid design","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","India","Japan","Latvia","Panama","Switzerland","United Kingdom","United States"],"publications":[{"id":658,"pubmed_id":24896221,"title":"Proposed data model for the next version of the Synthetic Biology Open Language","year":2014,"url":"http://doi.org/10.1021/sb500176h","authors":"Roehner N, Oberortner E, Pocock M, Beal J, Clancy K, Madsen C, Misirli G, Wipat A, Sauro H, Myers CJ","journal":"ACS Synth Biol.","doi":"10.1021/sb500176h","created_at":"2021-09-30T08:23:32.644Z","updated_at":"2021-09-30T08:23:32.644Z"},{"id":2745,"pubmed_id":24911500,"title":"The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology.","year":2014,"url":"http://doi.org/10.1038/nbt.2891","authors":"Galdzicki M, Clancy KP, Oberortner E et al.","journal":"Nature Biotechnology","doi":"10.1038/nbt.2891","created_at":"2021-09-30T08:27:37.139Z","updated_at":"2021-09-30T08:27:37.139Z"},{"id":3184,"pubmed_id":null,"title":"Synthetic biology open language visual (SBOL visual) version 3.0","year":2021,"url":"http://dx.doi.org/10.1515/jib-2021-0013","authors":"Baig, Hasan; Fontanarossa, Pedro; McLaughlin, James; Scott-Brown, James; Vaidyanathan, Prashant; Gorochowski, Thomas; Misirli, Goksel; Beal, Jacob; Myers, Chris; ","journal":"Journal of Integrative Bioinformatics","doi":"10.1515/jib-2021-0013","created_at":"2022-01-13T15:06:56.813Z","updated_at":"2022-01-13T15:06:56.813Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2317,"relation":"undefined"}],"grants":[{"id":6750,"fairsharing_record_id":1087,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:12.511Z","updated_at":"2021-09-30T09:28:12.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6755,"fairsharing_record_id":1087,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:12.700Z","updated_at":"2021-09-30T09:31:56.548Z","grant_id":1397,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J02175X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6751,"fairsharing_record_id":1087,"organisation_id":2501,"relation":"maintains","created_at":"2021-09-30T09:28:12.550Z","updated_at":"2021-09-30T09:28:12.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":2501,"name":"SBOL Developers","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6752,"fairsharing_record_id":1087,"organisation_id":38,"relation":"funds","created_at":"2021-09-30T09:28:12.587Z","updated_at":"2021-09-30T09:28:12.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":38,"name":"Agilent Technologies","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6754,"fairsharing_record_id":1087,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:12.661Z","updated_at":"2021-09-30T09:28:12.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6756,"fairsharing_record_id":1087,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:12.733Z","updated_at":"2021-09-30T09:28:12.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6757,"fairsharing_record_id":1087,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:12.820Z","updated_at":"2021-09-30T09:29:18.757Z","grant_id":190,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1355909","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8176,"fairsharing_record_id":1087,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:20.496Z","updated_at":"2021-09-30T09:31:20.562Z","grant_id":1126,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1356401","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9181,"fairsharing_record_id":1087,"organisation_id":2931,"relation":"funds","created_at":"2022-04-11T12:07:19.979Z","updated_at":"2022-04-11T12:07:19.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2931,"name":"United States Defense Advanced Research Projects Agency (DARPA)","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1088","type":"fairsharing_records","attributes":{"created_at":"2021-01-05T11:56:16.000Z","updated_at":"2022-07-20T10:58:31.306Z","metadata":{"doi":"10.25504/FAIRsharing.c3af4b","name":"GeoSPARQL","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/geosparql","identifier":1088,"description":"GeoSPARQL, created by the Open Geospatial Consortium (OGC), supports representing and querying geospatial data on the Semantic Web. GeoSPARQL defines a vocabulary for representing geospatial data in RDF, and it defines an extension to the SPARQL query language for processing geospatial data. In addition, GeoSPARQL is designed to accommodate systems based on qualitative spatial reasoning and systems based on quantitative spatial computations.","abbreviation":"GeoSPARQL","support_links":[{"url":"https://www.ogc.org/contacts","name":"Feedback and Contact Form","type":"Contact form"},{"url":"http://ogc.standardstracker.org/","name":"Submit Change Request / Requirement / Comment","type":"Forum"}],"year_creation":2009},"legacy_ids":["bsg-001558","bsg-s001558"],"name":"FAIRsharing record for: GeoSPARQL","abbreviation":"GeoSPARQL","url":"https://fairsharing.org/10.25504/FAIRsharing.c3af4b","doi":"10.25504/FAIRsharing.c3af4b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeoSPARQL, created by the Open Geospatial Consortium (OGC), supports representing and querying geospatial data on the Semantic Web. GeoSPARQL defines a vocabulary for representing geospatial data in RDF, and it defines an extension to the SPARQL query language for processing geospatial data. In addition, GeoSPARQL is designed to accommodate systems based on qualitative spatial reasoning and systems based on quantitative spatial computations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geospatial Data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":270,"relation":"undefined"}],"grants":[{"id":6758,"fairsharing_record_id":1088,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:12.887Z","updated_at":"2021-09-30T09:28:12.887Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1068","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T22:05:46.000Z","updated_at":"2022-07-18T19:57:20.213Z","metadata":{"doi":"10.25504/FAIRsharing.48e326","name":"Simple Knowledge Organization System","status":"ready","contacts":[{"contact_name":"Alistair Miles","contact_email":"alistair.miles@linacre.ox.ac.uk","contact_orcid":"0000-0001-9018-4680"}],"homepage":"http://www.w3.org/TR/skos-reference","citations":[],"identifier":1068,"description":"Simple Knowledge Organization System (SKOS) is a common data model for sharing and linking knowledge organization systems via the Web. Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, to enable data and technology sharing across diverse applications. The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a lightweight, intuitive language for developing and sharing new knowledge organization systems. It may be used on its own, or in combination with formal knowledge representation languages such as the Web Ontology language (OWL). The main objective of SKOS is to enable easy sharing and linking of controlled structured vocabularies for semantic web.","abbreviation":"SKOS","support_links":[{"url":"https://www.w3.org/2006/07/SWD/SKOS/reference/20090811-errata","name":"Errata","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-001268","bsg-s001268"],"name":"FAIRsharing record for: Simple Knowledge Organization System","abbreviation":"SKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.48e326","doi":"10.25504/FAIRsharing.48e326","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Simple Knowledge Organization System (SKOS) is a common data model for sharing and linking knowledge organization systems via the Web. Many knowledge organization systems, such as thesauri, taxonomies, classification schemes and subject heading systems, share a similar structure, and are used in similar applications. SKOS captures much of this similarity and makes it explicit, to enable data and technology sharing across diverse applications. The SKOS data model provides a standard, low-cost migration path for porting existing knowledge organization systems to the Semantic Web. SKOS also provides a lightweight, intuitive language for developing and sharing new knowledge organization systems. It may be used on its own, or in combination with formal knowledge representation languages such as the Web Ontology language (OWL). The main objective of SKOS is to enable easy sharing and linking of controlled structured vocabularies for semantic web.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13182}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":676,"relation":"undefined"}],"grants":[{"id":6701,"fairsharing_record_id":1068,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:10.695Z","updated_at":"2022-07-18T15:44:10.669Z","grant_id":null,"is_lead":true,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1069","type":"fairsharing_records","attributes":{"created_at":"2020-02-26T13:20:56.000Z","updated_at":"2022-02-08T10:31:20.696Z","metadata":{"doi":"10.25504/FAIRsharing.bdf2fe","name":"BibTex BIB Format","status":"ready","contacts":[{"contact_name":"Oren Patashnik","contact_email":"opbibtex@cs.stanford.edu"}],"homepage":"http://mirrors.ctan.org/biblio/bibtex/base/btxdoc.pdf","identifier":1069,"description":"The BibTeX BIB format was created to store a list of all references required by the BibTex software package. The BibTex package allows the user to store their citation data in a generic form, while printing citations in a document in the form specified by a BibTeX style, to be specified in the document itself.","abbreviation":"BIB","support_links":[{"url":"https://ctan.org/pkg/bibtex?lang=en","name":"BibTex Package Documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/BibTeX","name":"BibTex (Package) Wikipedia Entry","type":"Wikipedia"}],"year_creation":1988,"associated_tools":[{"url":"https://www.ctan.org/tex-archive/biblio/bibtex","name":"BibTex Package on CTAN"}]},"legacy_ids":["bsg-001453","bsg-s001453"],"name":"FAIRsharing record for: BibTex BIB Format","abbreviation":"BIB","url":"https://fairsharing.org/10.25504/FAIRsharing.bdf2fe","doi":"10.25504/FAIRsharing.bdf2fe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BibTeX BIB format was created to store a list of all references required by the BibTex software package. The BibTex package allows the user to store their citation data in a generic form, while printing citations in a document in the form specified by a BibTeX style, to be specified in the document itself.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Software Engineering"],"domains":["Citation","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Knuth License","licence_id":480,"licence_url":"https://ctan.org/license/knuth","link_id":416,"relation":"undefined"}],"grants":[{"id":6702,"fairsharing_record_id":1069,"organisation_id":410,"relation":"maintains","created_at":"2021-09-30T09:28:10.720Z","updated_at":"2021-09-30T09:28:10.720Z","grant_id":null,"is_lead":true,"saved_state":{"id":410,"name":"Center for Communications Research, San Diego, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1094","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T18:55:34.000Z","updated_at":"2021-11-24T13:17:08.943Z","metadata":{"doi":"10.25504/FAIRsharing.xvash1","name":"Flexible Image Transport System","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"fits@fits.gsfc.nasa.gov"}],"homepage":"https://fits.gsfc.nasa.gov","identifier":1094,"description":"This standard defines a digital file format useful for storage, transmission and processing of scientific and other images in astronomy. Unlike many image formats, FITS is designed specifically for scientific data and hence includes many provisions for describing photometric and spatial calibration information, together with image origin metadata. A major feature of the FITS format is that image metadata is stored in a human-readable ASCII header, so that an interested user can examine the headers to investigate an archived file of unknown provenance.","abbreviation":"FITS","support_links":[{"url":"fits@fits.gsfc.nasa.gov","name":"Contact email","type":"Support email"},{"url":"https://fits.gsfc.nasa.gov/iaufwg/","name":"FITS IAU WG","type":"Forum"},{"url":"https://fits.gsfc.nasa.gov/fits_documentation.html","name":"Documentation","type":"Help documentation"}],"year_creation":1978},"legacy_ids":["bsg-000712","bsg-s000712"],"name":"FAIRsharing record for: Flexible Image Transport System","abbreviation":"FITS","url":"https://fairsharing.org/10.25504/FAIRsharing.xvash1","doi":"10.25504/FAIRsharing.xvash1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard defines a digital file format useful for storage, transmission and processing of scientific and other images in astronomy. Unlike many image formats, FITS is designed specifically for scientific data and hence includes many provisions for describing photometric and spatial calibration information, together with image origin metadata. A major feature of the FITS format is that image metadata is stored in a human-readable ASCII header, so that an interested user can examine the headers to investigate an archived file of unknown provenance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":["Resource metadata","Imaging","Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","France","Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":6765,"fairsharing_record_id":1094,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:13.112Z","updated_at":"2021-09-30T09:28:13.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1067","type":"fairsharing_records","attributes":{"created_at":"2018-09-02T21:17:14.000Z","updated_at":"2023-09-29T11:54:58.239Z","metadata":{"doi":"10.25504/FAIRsharing.a0c765","name":"Language resource management -- Controlled natural language (CNL) -- Part 1: Basic concepts and principles","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/37334.html","citations":[],"identifier":1067,"description":"As part of a drive to provide international standards for language resource management, ISO/TS 24620-1:2015 on controlled natural language (CNL) sets out the principles of CNL and its utilization together with the relevant supporting technology. However, ISO/TS 24620-1:2015 also aims to introduce a general view of CNL with its objectives and characteristics and provide a scheme for classifying a range of CNLs. ISO/TS 24620-1:2015 additionally specifies certain normalizing principles of CNLs that control the use of natural languages in particular domains and are also oriented towards areas of practical application.","abbreviation":"ISO/TS 24620-1:2015","support_links":[{"url":"https://www.iso.org/contents/data/standard/03/73/37334.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2009},"legacy_ids":["bsg-001267","bsg-s001267"],"name":"FAIRsharing record for: Language resource management -- Controlled natural language (CNL) -- Part 1: Basic concepts and principles","abbreviation":"ISO/TS 24620-1:2015","url":"https://fairsharing.org/10.25504/FAIRsharing.a0c765","doi":"10.25504/FAIRsharing.a0c765","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As part of a drive to provide international standards for language resource management, ISO/TS 24620-1:2015 on controlled natural language (CNL) sets out the principles of CNL and its utilization together with the relevant supporting technology. However, ISO/TS 24620-1:2015 also aims to introduce a general view of CNL with its objectives and characteristics and provide a scheme for classifying a range of CNLs. ISO/TS 24620-1:2015 additionally specifies certain normalizing principles of CNLs that control the use of natural languages in particular domains and are also oriented towards areas of practical application.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":469,"relation":"undefined"}],"grants":[{"id":6700,"fairsharing_record_id":1067,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:10.672Z","updated_at":"2021-09-30T09:28:10.672Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10921,"fairsharing_record_id":1067,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:11:52.761Z","updated_at":"2023-09-27T14:11:52.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1150","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2022-07-20T12:02:13.406Z","metadata":{"doi":"10.25504/FAIRsharing.brhpb0","name":"Ontology of Prokaryotic Phenotypic and Metabolic Characters","status":"uncertain","contacts":[{"contact_name":"Carrine Blank","contact_email":"carrine.blank@umontana.edu"}],"homepage":"https://github.com/carrineblank/MicrO","citations":[{"doi":"10.1186/s13326-016-0060-6","pubmed_id":27076900,"publication_id":2520}],"identifier":1150,"description":"MicrO is an ontology of microbiological terms, including prokaryotic qualities and processes, material entities (such as cell components), chemical entities (such as microbiological culture media and medium ingredients), and assays. The ontology was built to support the ongoing development of a natural language processing algorithm, MicroPIE (or, Microbial Phenomics Information Extractor). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","abbreviation":"MicrO","support_links":[{"url":"https://github.com/carrineblank/MicrO/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2013},"legacy_ids":["bsg-000784","bsg-s000784"],"name":"FAIRsharing record for: Ontology of Prokaryotic Phenotypic and Metabolic Characters","abbreviation":"MicrO","url":"https://fairsharing.org/10.25504/FAIRsharing.brhpb0","doi":"10.25504/FAIRsharing.brhpb0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MicrO is an ontology of microbiological terms, including prokaryotic qualities and processes, material entities (such as cell components), chemical entities (such as microbiological culture media and medium ingredients), and assays. The ontology was built to support the ongoing development of a natural language processing algorithm, MicroPIE (or, Microbial Phenomics Information Extractor). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Microbiology"],"domains":["Assay","Cell culture","Phenotype"],"taxonomies":["Archaea","Bacteria","Cyanobacteria","Firmicutes"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2520,"pubmed_id":27076900,"title":"MicrO: an ontology of phenotypic and metabolic characters, assays, and culture media found in prokaryotic taxonomic descriptions.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0060-6","authors":"Blank CE,Cui H,Moore LR,Walls RL","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0060-6","created_at":"2021-09-30T08:27:09.176Z","updated_at":"2021-09-30T08:27:09.176Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":305,"relation":"undefined"}],"grants":[{"id":6882,"fairsharing_record_id":1150,"organisation_id":3100,"relation":"maintains","created_at":"2021-09-30T09:28:17.429Z","updated_at":"2021-09-30T09:28:17.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":3100,"name":"University of Montana, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6881,"fairsharing_record_id":1150,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:17.392Z","updated_at":"2021-09-30T09:31:15.466Z","grant_id":1090,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Assembling the Tree of Life Program DBI-1208534","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1151","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T15:41:54.000Z","updated_at":"2023-09-29T11:55:00.949Z","metadata":{"doi":"10.25504/FAIRsharing.634749","name":"ISO 15189:2012 Medical laboratories — Requirements for quality and competence","status":"ready","contacts":[{"contact_name":"ISO/TC 212 - Secretariat","contact_email":"info@ansi.org"}],"homepage":"https://www.iso.org/standard/56115.html","citations":[],"identifier":1151,"description":"ISO 15189:2012 specifies requirements for quality and competence in medical laboratories. ISO 15189:2012 can be used by medical laboratories in developing their quality management systems and assessing their own competence. It can also be used for confirming or recognizing the competence of medical laboratories by laboratory customers, regulating authorities and accreditation bodies.","abbreviation":"ISO 15189:2012","support_links":[{"url":"https://en.wikipedia.org/wiki/ISO_15189","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012},"legacy_ids":["bsg-001590","bsg-s001590"],"name":"FAIRsharing record for: ISO 15189:2012 Medical laboratories — Requirements for quality and competence","abbreviation":"ISO 15189:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.634749","doi":"10.25504/FAIRsharing.634749","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 15189:2012 specifies requirements for quality and competence in medical laboratories. ISO 15189:2012 can be used by medical laboratories in developing their quality management systems and assessing their own competence. It can also be used for confirming or recognizing the competence of medical laboratories by laboratory customers, regulating authorities and accreditation bodies.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12138}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Biomedical Science"],"domains":["Quality control","Legal regulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":276,"relation":"undefined"}],"grants":[{"id":6883,"fairsharing_record_id":1151,"organisation_id":2714,"relation":"maintains","created_at":"2021-09-30T09:28:17.466Z","updated_at":"2021-09-30T09:28:17.466Z","grant_id":null,"is_lead":true,"saved_state":{"id":2714,"name":"Technical Committee 212, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10936,"fairsharing_record_id":1151,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:24:02.525Z","updated_at":"2023-09-27T14:24:02.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1152","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:27.675Z","metadata":{"doi":"10.25504/FAIRsharing.1a27h8","name":"Anatomical Therapeutic Chemical Classification","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"whocc@fhi.no"}],"homepage":"http://www.whocc.no/atc/structure_and_principles/","identifier":1152,"description":"The Anatomical Therapeutic Chemical (ATC) Classification System is used for the classification of active ingredients of drugs according to the organ or system on which they act and their therapeutic, pharmacological and chemical properties. It is controlled by the World Health Organization Collaborating Centre for Drug Statistics Methodology (WHOCC), and was first published in 1976.","abbreviation":"ATC","support_links":[{"url":"http://en.wikipedia.org/wiki/Anatomical_Therapeutic_Chemical_Classification_System","type":"Wikipedia"},{"url":"http://www.whocc.no/courses/","type":"Training documentation"}],"year_creation":1976,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ATC","name":"ATC","portal":"BioPortal"}]},"legacy_ids":["bsg-002794","bsg-s002794"],"name":"FAIRsharing record for: Anatomical Therapeutic Chemical Classification","abbreviation":"ATC","url":"https://fairsharing.org/10.25504/FAIRsharing.1a27h8","doi":"10.25504/FAIRsharing.1a27h8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Anatomical Therapeutic Chemical (ATC) Classification System is used for the classification of active ingredients of drugs according to the organ or system on which they act and their therapeutic, pharmacological and chemical properties. It is controlled by the World Health Organization Collaborating Centre for Drug Statistics Methodology (WHOCC), and was first published in 1976.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17329},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12214},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13176},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14547},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16983}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemical Biology","Pharmacology","Biomedical Science"],"domains":["Anatomical Therapeutic Chemical Code","Drug","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Pharmacological family classification"],"countries":["Norway"],"publications":[{"id":2323,"pubmed_id":11214783,"title":"Different versions of the anatomical therapeutic chemical classification system and the defined daily dose--are drug utilisation data comparable?","year":2001,"url":"http://doi.org/10.1007/s002280000200","authors":"Ronning M,Blix HS,Harbo BT,Strom H","journal":"Eur J Clin Pharmacol","doi":"10.1007/s002280000200","created_at":"2021-09-30T08:26:45.110Z","updated_at":"2021-09-30T08:26:45.110Z"},{"id":2324,"pubmed_id":7368387,"title":"[New classification of drugs. The Medical list and the Drug catalogue are introduced in Anatomical--Therapeutic--Chemical classification code (ACT-code) in 1981].","year":1980,"url":"https://www.ncbi.nlm.nih.gov/pubmed/7368387","authors":"Hvidberg E,Andersen AH","journal":"Ugeskr Laeger","doi":null,"created_at":"2021-09-30T08:26:45.277Z","updated_at":"2021-09-30T08:26:45.277Z"}],"licence_links":[],"grants":[{"id":6884,"fairsharing_record_id":1152,"organisation_id":2188,"relation":"maintains","created_at":"2021-09-30T09:28:17.495Z","updated_at":"2021-09-30T09:28:17.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2188,"name":"Norwegian Institute of Public Health","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6886,"fairsharing_record_id":1152,"organisation_id":94,"relation":"maintains","created_at":"2021-09-30T09:28:17.550Z","updated_at":"2021-09-30T09:28:17.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":94,"name":"Anatomical Therapeutic Chemical (ATC) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6885,"fairsharing_record_id":1152,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:17.520Z","updated_at":"2021-09-30T09:28:17.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1153","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:52:50.596Z","metadata":{"doi":"10.25504/FAIRsharing.h9gdcb","name":"Tumor model repositories Markup Language","status":"ready","contacts":[{"contact_name":"David Johnson","contact_email":"david.johnson@cs.ox.ac.uk","contact_orcid":"0000-0002-2323-6847"}],"homepage":"http://www.github.com/tumorml","identifier":1153,"description":"Originally developed as part of the FP7 Transatlantic Tumor Model Repositories project, TumorML has been developed as an XML-based domain-specific vocabulary that includes elements from existing vocabularies, to deal with storing and transmitting existing cancer models among research communities.","abbreviation":"TumorML","year_creation":2010,"associated_tools":[{"url":"https://github.com/tumorml/TumorML-validator","name":"TumorML Validator"}]},"legacy_ids":["bsg-000540","bsg-s000540"],"name":"FAIRsharing record for: Tumor model repositories Markup Language","abbreviation":"TumorML","url":"https://fairsharing.org/10.25504/FAIRsharing.h9gdcb","doi":"10.25504/FAIRsharing.h9gdcb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Originally developed as part of the FP7 Transatlantic Tumor Model Repositories project, TumorML has been developed as an XML-based domain-specific vocabulary that includes elements from existing vocabularies, to deal with storing and transmitting existing cancer models among research communities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science"],"domains":["Mathematical model","Cancer","Modeling and simulation","Tumor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":470,"pubmed_id":23700360,"title":"Dealing with Diversity in Computational Cancer Modeling","year":2013,"url":"http://doi.org/10.4137/CIN.S11583","authors":"David Johnson, Steve McKeever, Georgios Stamatakos, Dimitra Dionysiou, Norbert Graf, Vangelis Sakkalis, Konstantinos Marias, Zhihui Wang, and Thomas S. Deisboeck","journal":"Cancer Informatics","doi":"10.4137/CIN.S11583","created_at":"2021-09-30T08:23:11.109Z","updated_at":"2021-09-30T08:23:11.109Z"},{"id":743,"pubmed_id":null,"title":"Connecting digital cancer model repositories with markup: introducing TumorML version 1.0","year":2013,"url":"http://doi.org/10.1145/2544063.2544064","authors":"David Johnson, Steve McKeever, Thomas S. Deisboeck and Zhihui Wang","journal":"ACM SIGBioinformatics Record","doi":"10.1145/2544063.2544064","created_at":"2021-09-30T08:23:41.824Z","updated_at":"2021-09-30T08:23:41.824Z"},{"id":1815,"pubmed_id":25520553,"title":"Semantically linking in silico cancer models","year":2014,"url":"http://doi.org/10.4137/CIN.S13895","authors":"David Johnson, Anthony J. Connor, Steve McKeever, Zhihui Wang, Thomas S. Deisboeck, Tom Quaiser and Eliezer Shochat","journal":"Cancer Informatics","doi":"10.4137/CIN.S13895","created_at":"2021-09-30T08:25:43.756Z","updated_at":"2021-09-30T08:25:43.756Z"},{"id":2151,"pubmed_id":22254343,"title":"TumorML: Concept and requirements of an in silico cancer modelling markup language","year":2012,"url":"http://doi.org/10.1109/IEMBS.2011.6090060","authors":"David Johnson, Jonathan Cooper and Steve McKeever","journal":"Conf Proc IEEE Eng Med Biol Soc","doi":"10.1109/IEMBS.2011.6090060","created_at":"2021-09-30T08:26:22.392Z","updated_at":"2021-09-30T08:26:22.392Z"}],"licence_links":[],"grants":[{"id":6888,"fairsharing_record_id":1153,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:17.621Z","updated_at":"2021-09-30T09:30:53.600Z","grant_id":921,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7-ICT-2009.5.4- 247754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6887,"fairsharing_record_id":1153,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:17.588Z","updated_at":"2021-09-30T09:28:17.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1154","type":"fairsharing_records","attributes":{"created_at":"2021-05-10T11:51:00.000Z","updated_at":"2023-09-29T11:55:01.392Z","metadata":{"doi":"10.25504/FAIRsharing.1d13e7","name":"CCSDS and ISO Reference Model for an Open Archival Information System","status":"ready","contacts":[{"contact_name":"Mr Sami Asmar","contact_email":"sami.w.asmar@jpl.nasa.gov"}],"homepage":"https://www.iso.org/standard/57284.html","identifier":1154,"description":"The Consultative Committee for Space Data Systems (CCSDS) and International Organization for Standardization (ISO) 14721:2012 Reference Model for an Open Archival Information System (OAIS) was developed to facilitate a broad, discipline independent, consensus on the requirements for an archive or repository to provide long-term, preservation of digital information. It was also intended to support the development of additional digital preservation standards. OAIS provides a model for describing an Archive, consisting of an organization, which may be part of a larger organization, of people and systems that has accepted the responsibility to preserve information and make it available for a Designated Community. The term ‘Open’ in OAIS is used to imply that this Recommendation, as well as future related Recommendations and standards, are developed in open forums, and it does not imply that access to the Archive is unrestricted.","abbreviation":"ISO 14721:2012 (OAIS)","support_links":[{"url":"secretariat@mailman.ccsds.org","name":"CCSDS General Contact","type":"Support email"},{"url":"http://www.oais.info/","name":"General OAIS Information","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001613","bsg-s001613"],"name":"FAIRsharing record for: CCSDS and ISO Reference Model for an Open Archival Information System","abbreviation":"ISO 14721:2012 (OAIS)","url":"https://fairsharing.org/10.25504/FAIRsharing.1d13e7","doi":"10.25504/FAIRsharing.1d13e7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Consultative Committee for Space Data Systems (CCSDS) and International Organization for Standardization (ISO) 14721:2012 Reference Model for an Open Archival Information System (OAIS) was developed to facilitate a broad, discipline independent, consensus on the requirements for an archive or repository to provide long-term, preservation of digital information. It was also intended to support the development of additional digital preservation standards. OAIS provides a model for describing an Archive, consisting of an organization, which may be part of a larger organization, of people and systems that has accepted the responsibility to preserve information and make it available for a Designated Community. The term ‘Open’ in OAIS is used to imply that this Recommendation, as well as future related Recommendations and standards, are developed in open forums, and it does not imply that access to the Archive is unrestricted.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Governance","Data Management"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":599,"relation":"undefined"}],"grants":[{"id":6890,"fairsharing_record_id":1154,"organisation_id":2760,"relation":"maintains","created_at":"2021-09-30T09:28:17.701Z","updated_at":"2021-09-30T09:28:17.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":2760,"name":"The Consultative Committee for Space Data Systems","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10938,"fairsharing_record_id":1154,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:48:09.109Z","updated_at":"2023-09-27T14:48:09.109Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6889,"fairsharing_record_id":1154,"organisation_id":2716,"relation":"maintains","created_at":"2021-09-30T09:28:17.659Z","updated_at":"2021-09-30T09:28:17.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":2716,"name":"Technical Committee ISO/TC 20/SC 13, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1143","type":"fairsharing_records","attributes":{"created_at":"2017-03-02T11:31:15.000Z","updated_at":"2024-03-18T06:53:14.944Z","metadata":{"doi":"10.25504/FAIRsharing.v033mj","name":"proBed","status":"in_development","contacts":[{"contact_name":"Tobias Ternent","contact_email":"tobias@ebi.ac.uk"}],"homepage":"http://www.psidev.info/probed","citations":[],"identifier":1143,"description":"The Proteomics Informatics Working Group is developing standards for describing the results of identification and quantification processes for proteins, peptides, small molecules and protein modifications from mass spectrometry. This working group is developing proBed, a tab delimited text file format to report “proteogenomics” results, i.e. the identification and mapping of peptide/protein sequences back against a genome, to assist in annotation efforts. The original BED format is used to describe genome coordinate data across lines, for use on annotation tracks. In BED, data lines are defined as tab-separated plain text with 12 mandatory fields (columns). Of those, only the first three fields are required, and the other 9 are optional. The proBed format builds upon this original structure by extending the 12 original BED fields to include a further 13 fields to describe information primarily on peptide-spectrum matches (PSMs). The format can also accommodate peptides (as groups of PSMs).","abbreviation":"proBed","support_links":[{"url":"https://goo.gl/FM2w66","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/PRIDE-Utilities/ms-data-core-api","name":"ms-data-core-api"},{"url":"https://github.com/PRIDE-Toolsuite/PGConverter","name":"PGConverter"},{"url":"http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/bedToBigBed","name":"bedToBigBed"}]},"legacy_ids":["bsg-000694","bsg-s000694"],"name":"FAIRsharing record for: proBed","abbreviation":"proBed","url":"https://fairsharing.org/10.25504/FAIRsharing.v033mj","doi":"10.25504/FAIRsharing.v033mj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Proteomics Informatics Working Group is developing standards for describing the results of identification and quantification processes for proteins, peptides, small molecules and protein modifications from mass spectrometry. This working group is developing proBed, a tab delimited text file format to report “proteogenomics” results, i.e. the identification and mapping of peptide/protein sequences back against a genome, to assist in annotation efforts. The original BED format is used to describe genome coordinate data across lines, for use on annotation tracks. In BED, data lines are defined as tab-separated plain text with 12 mandatory fields (columns). Of those, only the first three fields are required, and the other 9 are optional. The proBed format builds upon this original structure by extending the 12 original BED fields to include a further 13 fields to describe information primarily on peptide-spectrum matches (PSMs). The format can also accommodate peptides (as groups of PSMs).","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11450},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12097},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12504}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteogenomics","Life Science"],"domains":["Mass spectrum","Protein modification","Small molecule","Peak matching","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":["Peptide-spectrum matching"],"countries":["United Kingdom","United States"],"publications":[{"id":4183,"pubmed_id":null,"title":"The proBAM and proBed standard formats: enabling a seamless integration of genomics and proteomics data","year":2018,"url":"http://dx.doi.org/10.1186/s13059-017-1377-x","authors":"Menschaert, Gerben; Wang, Xiaojing; Jones, Andrew R.; Ghali, Fawaz; Fenyö, David; Olexiouk, Volodimir; Zhang, Bing; Deutsch, Eric W.; Ternent, Tobias; Vizcaíno, Juan Antonio; ","journal":"Genome Biol","doi":"10.1186/s13059-017-1377-x","created_at":"2024-03-04T19:54:18.955Z","updated_at":"2024-03-04T19:54:18.955Z"}],"licence_links":[],"grants":[{"id":6864,"fairsharing_record_id":1143,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:16.826Z","updated_at":"2021-09-30T09:28:16.826Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1144","type":"fairsharing_records","attributes":{"created_at":"2018-11-21T19:58:29.000Z","updated_at":"2021-11-24T13:14:27.572Z","metadata":{"doi":"10.25504/FAIRsharing.e1yjxM","name":"CDISC Glossary","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/glossary","identifier":1144,"description":"CDISC Glossary seeks to harmonize definitions (including acronyms, abbreviations, and initials) used in the various standards initiatives undertaken by CDISC in clinical research. Glossary also serves the community of clinical researchers by selecting and defining terms pertaining to clinical research, particularly eClinical investigations, sponsored by the pharmaceutical industry or a federal agency.","abbreviation":"Glossary"},"legacy_ids":["bsg-001337","bsg-s001337"],"name":"FAIRsharing record for: CDISC Glossary","abbreviation":"Glossary","url":"https://fairsharing.org/10.25504/FAIRsharing.e1yjxM","doi":"10.25504/FAIRsharing.e1yjxM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC Glossary seeks to harmonize definitions (including acronyms, abbreviations, and initials) used in the various standards initiatives undertaken by CDISC in clinical research. Glossary also serves the community of clinical researchers by selecting and defining terms pertaining to clinical research, particularly eClinical investigations, sponsored by the pharmaceutical industry or a federal agency.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12127},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12540}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6865,"fairsharing_record_id":1144,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:28:16.856Z","updated_at":"2021-09-30T09:28:16.856Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6866,"fairsharing_record_id":1144,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:16.898Z","updated_at":"2021-09-30T09:28:16.898Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1145","type":"fairsharing_records","attributes":{"created_at":"2020-05-29T14:50:42.000Z","updated_at":"2023-06-02T15:14:19.460Z","metadata":{"doi":"10.25504/FAIRsharing.XYFbZD","name":"Human Diseases Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/VH8/en/","citations":[],"identifier":1145,"description":"The Human Diseases Thesaurus describes human diseases, and is part of the Medicine vocabulary used from 1972 to 2015 for indexing bibliographical records in the now-archived PASCAL database (http://pascal-francis.inist.fr/). It is available in English and French.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001488","bsg-s001488"],"name":"FAIRsharing record for: Human Diseases Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.XYFbZD","doi":"10.25504/FAIRsharing.XYFbZD","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Diseases Thesaurus describes human diseases, and is part of the Medicine vocabulary used from 1972 to 2015 for indexing bibliographical records in the now-archived PASCAL database (http://pascal-francis.inist.fr/). It is available in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11307}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Life Science","Pathology"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":597,"relation":"undefined"}],"grants":[{"id":6868,"fairsharing_record_id":1145,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.978Z","updated_at":"2021-09-30T09:28:16.978Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6867,"fairsharing_record_id":1145,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.940Z","updated_at":"2021-09-30T09:28:16.940Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1146","type":"fairsharing_records","attributes":{"created_at":"2018-09-07T19:28:05.000Z","updated_at":"2022-07-20T10:13:23.638Z","metadata":{"doi":"10.25504/FAIRsharing.b33ae1","name":"Technical Metadata for Text","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ndmso@loc.gov"}],"homepage":"https://www.loc.gov/standards/textMD/","identifier":1146,"description":"textMD is a XML Schema that details technical metadata for text-based digital objects. It most commonly serves as an extension schema used within the Metadata Encoding and Transmission Schema (METS) administrative metadata section. However, it could also exist as a standalone document. textMD can be used within the PREMIS element \u003cobjectCharacteristicsExtension\u003e, as an extension for format-specific metadata within the PREMIS preservation metadata XML Schema versions 2.0 and 2.1. The textMD schema allows for detailing properties such as: encoding information (quality, platform, software, agent); character information (character set and size, byte order and size, line terminators); languages; fonts; markup information; processing and textual notes; technical requirements for printing and viewing; and page ordering and sequencing.","abbreviation":"textMD","support_links":[{"url":"http://listserv.loc.gov/archives/textmd.html","name":"textMD mailing list","type":"Mailing list"},{"url":"https://www.loc.gov/standards/textMD/elementSet/index.html","name":"Element Set Documentation","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001276","bsg-s001276"],"name":"FAIRsharing record for: Technical Metadata for Text","abbreviation":"textMD","url":"https://fairsharing.org/10.25504/FAIRsharing.b33ae1","doi":"10.25504/FAIRsharing.b33ae1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: textMD is a XML Schema that details technical metadata for text-based digital objects. It most commonly serves as an extension schema used within the Metadata Encoding and Transmission Schema (METS) administrative metadata section. However, it could also exist as a standalone document. textMD can be used within the PREMIS element \u003cobjectCharacteristicsExtension\u003e, as an extension for format-specific metadata within the PREMIS preservation metadata XML Schema versions 2.0 and 2.1. The textMD schema allows for detailing properties such as: encoding information (quality, platform, software, agent); character information (character set and size, byte order and size, line terminators); languages; fonts; markup information; processing and textual notes; technical requirements for printing and viewing; and page ordering and sequencing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Document metadata","Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6869,"fairsharing_record_id":1146,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:17.015Z","updated_at":"2021-09-30T09:28:17.015Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1147","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:55:19.000Z","updated_at":"2023-06-05T06:22:04.550Z","metadata":{"doi":"10.25504/FAIRsharing.U7rBYm","name":"Vocabulary of Earth Sciences","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/26L/en/","citations":[],"identifier":1147,"description":"Earth and Universe Sciences controlled vocabulary used for indexing bibliographical records for the PASCAL database. This resource contains 10835 entries grouped into 60 collections, in two languages (English and French).","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001417","bsg-s001417"],"name":"FAIRsharing record for: Vocabulary of Earth Sciences","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.U7rBYm","doi":"10.25504/FAIRsharing.U7rBYm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Earth and Universe Sciences controlled vocabulary used for indexing bibliographical records for the PASCAL database. This resource contains 10835 entries grouped into 60 collections, in two languages (English and French).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11294}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy","Cosmology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Cosmology"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1343,"relation":"undefined"}],"grants":[{"id":6871,"fairsharing_record_id":1147,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:17.099Z","updated_at":"2021-09-30T09:28:17.099Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6870,"fairsharing_record_id":1147,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:17.057Z","updated_at":"2021-09-30T09:28:17.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1158","type":"fairsharing_records","attributes":{"created_at":"2020-05-29T14:38:31.000Z","updated_at":"2023-06-05T06:21:43.599Z","metadata":{"doi":"10.25504/FAIRsharing.2ZShyL","name":"Ethnology vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/KW5/en/","citations":[],"identifier":1158,"description":"The Ethnology vocabulary is a controlled vocabulary used for indexing the bibliographical records for the now-archived \"Ethnology\" FRANCIS database (1972 - 2015, http://pascal-francis.inist.fr/). This resource contains over 9000 classes, with each class available in English and French.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001487","bsg-s001487"],"name":"FAIRsharing record for: Ethnology vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2ZShyL","doi":"10.25504/FAIRsharing.2ZShyL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ethnology vocabulary is a controlled vocabulary used for indexing the bibliographical records for the now-archived \"Ethnology\" FRANCIS database (1972 - 2015, http://pascal-francis.inist.fr/). This resource contains over 9000 classes, with each class available in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11308}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science","Social Anthropology"],"domains":["Bibliography"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Ethnology"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":598,"relation":"undefined"}],"grants":[{"id":6900,"fairsharing_record_id":1158,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:18.092Z","updated_at":"2021-09-30T09:28:18.092Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6901,"fairsharing_record_id":1158,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:18.134Z","updated_at":"2021-09-30T09:28:18.134Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1159","type":"fairsharing_records","attributes":{"created_at":"2018-08-26T11:36:45.000Z","updated_at":"2022-07-20T12:00:03.287Z","metadata":{"doi":"10.25504/FAIRsharing.df206a","name":"International Standard Bibliographic Description","status":"ready","contacts":[],"homepage":"https://www.ifla.org/publications/international-standard-bibliographic-description","citations":[],"identifier":1159,"description":"The consolidated edition of the International Standard Bibliographic Description (ISBD) specifies the requirements for description and identification of single-part resources and multi-part resources. This consolidated edition merges the texts of the seven specialized ISBDs (for books, maps, serials, sound recordings, computer files and other electronic resources, etc.) into a single text. The ISBD is useful and applicable for descriptions of bibliographic resources in any type of catalogue. In this edition the stipulations for cataloguing the various resources have been made more consistent with each other and brought up to date. The area 0 for content form and media type is included for the first time. The designation of mandatory ISBD elements has been brought into conformity with the requirements for a basic level national bibliographic record as determined by the Functional Requirements for Bibliographic Records (FRBR).","abbreviation":"ISBD","support_links":[{"url":"https://en.wikipedia.org/wiki/International_Standard_Bibliographic_Description","name":"Wikipedia entry","type":"Wikipedia"},{"url":"https://www.ifla.org/news/","type":"Blog/News"},{"url":"https://twitter.com/ifla","name":"@IFLA","type":"Twitter"},{"url":"https://www.ifla.org/contact-us/","name":"Contact us","type":"Contact form"}],"year_creation":1971},"legacy_ids":["bsg-001245","bsg-s001245"],"name":"FAIRsharing record for: International Standard Bibliographic Description","abbreviation":"ISBD","url":"https://fairsharing.org/10.25504/FAIRsharing.df206a","doi":"10.25504/FAIRsharing.df206a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The consolidated edition of the International Standard Bibliographic Description (ISBD) specifies the requirements for description and identification of single-part resources and multi-part resources. This consolidated edition merges the texts of the seven specialized ISBDs (for books, maps, serials, sound recordings, computer files and other electronic resources, etc.) into a single text. The ISBD is useful and applicable for descriptions of bibliographic resources in any type of catalogue. In this edition the stipulations for cataloguing the various resources have been made more consistent with each other and brought up to date. The area 0 for content form and media type is included for the first time. The designation of mandatory ISBD elements has been brought into conformity with the requirements for a basic level national bibliographic record as determined by the Functional Requirements for Bibliographic Records (FRBR).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Linguistics"],"domains":["Bibliography","Publication","Digital curation","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Publishing"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":893,"relation":"undefined"}],"grants":[{"id":6902,"fairsharing_record_id":1159,"organisation_id":1489,"relation":"maintains","created_at":"2021-09-30T09:28:18.175Z","updated_at":"2021-09-30T09:28:18.175Z","grant_id":null,"is_lead":true,"saved_state":{"id":1489,"name":"International Federation of Library Associations and Institutions (IFLA), The Hague, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1160","type":"fairsharing_records","attributes":{"created_at":"2020-04-29T13:36:22.000Z","updated_at":"2023-01-16T09:26:43.442Z","metadata":{"doi":"10.25504/FAIRsharing.dc34f4","name":"COVID19 Surveillance Ontology","status":"ready","contacts":[{"contact_name":"Simon de Lusignan","contact_email":"simon.delusignan@phc.ox.ac.uk"}],"homepage":"https://bioportal.bioontology.org/ontologies/COVID19","citations":[],"identifier":1160,"description":"The COVID-19 Surveillance Ontology is an application ontology used to support COVID-19 (Wuhan novel Coronavirus infection) surveillance in primary care. The ontology facilitates monitoring of COVID-19 cases and related respiratory conditions using data from multiple brands of computerised medical record systems.","abbreviation":"CSO","support_links":[{"url":"dylan.mcgagh@magd.ox.ac.uk","name":"Dylan McGagh","type":"Support email"},{"url":"harshana.liyanage@phc.ox.ac.uk","name":"Harshana Liyanage ","type":"Support email"},{"url":"john.williams@phc.ox.ac.uk","name":"John Williams","type":"Support email"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSO","name":"CSO","portal":"BioPortal"}]},"legacy_ids":["bsg-001473","bsg-s001473"],"name":"FAIRsharing record for: COVID19 Surveillance Ontology","abbreviation":"CSO","url":"https://fairsharing.org/10.25504/FAIRsharing.dc34f4","doi":"10.25504/FAIRsharing.dc34f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COVID-19 Surveillance Ontology is an application ontology used to support COVID-19 (Wuhan novel Coronavirus infection) surveillance in primary care. The ontology facilitates monitoring of COVID-19 cases and related respiratory conditions using data from multiple brands of computerised medical record systems.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12290},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12552}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Critical Care Medicine","Public Health","Health Science","Primary Health Care"],"domains":["Patient care","Monitoring"],"taxonomies":["Coronaviridae","Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":3768,"pubmed_id":33112762,"title":"COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology.","year":2020,"url":"https://doi.org/10.2196/21434","authors":"de Lusignan S, Liyanage H, McGagh D, Jani BD, Bauwens J, Byford R, Evans D, Fahey T, Greenhalgh T, Jones N, Mair FS, Okusi C, Parimalanathan V, Pell JP, Sherlock J, Tamburis O, Tripathy M, Ferreira F, Williams J, Hobbs FDR","journal":"JMIR public health and surveillance","doi":"10.2196/21434","created_at":"2023-01-16T09:22:59.858Z","updated_at":"2023-01-16T09:22:59.858Z"}],"licence_links":[],"grants":[{"id":6903,"fairsharing_record_id":1160,"organisation_id":2202,"relation":"maintains","created_at":"2021-09-30T09:28:18.213Z","updated_at":"2021-09-30T09:28:18.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":2202,"name":"Nuffield Department of Primary Care Health Sciences, University of Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1161","type":"fairsharing_records","attributes":{"created_at":"2016-05-19T13:18:31.000Z","updated_at":"2022-07-20T13:11:22.230Z","metadata":{"doi":"10.25504/FAIRsharing.27tnee","name":"Open Modeling EXchange format","status":"ready","contacts":[{"contact_name":"Nicolas Le Novère","contact_email":"lenov@babraham.ac.uk"}],"homepage":"http://co.mbine.org/specifications/omex.version-1","citations":[{"doi":"10.1186/s12859-014-0369-z","pubmed_id":25494900,"publication_id":1181}],"identifier":1161,"description":"Open Modeling EXchange format (OMEX), together with the use of other standard formats from the Computational Modeling in Biology Network (COMBINE), is the basis of the COMBINE Archive, a single file that supports the exchange of all the information necessary for a modeling and simulation experiment in biology. An OMEX file is a ZIP container that includes a manifest file, listing the content of the archive, an optional metadata file adding information about the archive and its content, and the files describing the model.","abbreviation":"OMEX","support_links":[{"url":"https://groups.google.com/forum/?hl=en-GB#!forum/combine-archive","name":"OMEX format discussion","type":"Forum"},{"url":"https://groups.google.com/forum/?hl=en-GB#!forum/combine-support","name":"Report problems with the website","type":"Forum"},{"url":"https://tess.elixir-europe.org/materials/runbiosimulations-tutorial-and-help","name":"runBioSimulations tutorial and help","type":"TeSS links to training materials"}],"year_creation":2014},"legacy_ids":["bsg-000668","bsg-s000668"],"name":"FAIRsharing record for: Open Modeling EXchange format","abbreviation":"OMEX","url":"https://fairsharing.org/10.25504/FAIRsharing.27tnee","doi":"10.25504/FAIRsharing.27tnee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Modeling EXchange format (OMEX), together with the use of other standard formats from the Computational Modeling in Biology Network (COMBINE), is the basis of the COMBINE Archive, a single file that supports the exchange of all the information necessary for a modeling and simulation experiment in biology. An OMEX file is a ZIP container that includes a manifest file, listing the content of the archive, an optional metadata file adding information about the archive and its content, and the files describing the model.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12072},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12224},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16915}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Systems Biology"],"domains":["Mathematical model","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","New Zealand","United Kingdom","United States","European Union"],"publications":[{"id":1181,"pubmed_id":25494900,"title":"COMBINE archive and OMEX format: one file to share all information to reproduce a modeling project.","year":2014,"url":"http://doi.org/10.1186/s12859-014-0369-z","authors":"Bergmann FT,Adams R,Moodie S,Cooper J,Glont M,Golebiewski M,Hucka M,Laibe C,Miller AK,Nickerson DP,Olivier BG,Rodriguez N,Sauro HM,Scharm M,Soiland-Reyes S,Waltemath D,Yvon F,Le Novere N","journal":"BMC Bioinformatics","doi":"10.1186/s12859-014-0369-z","created_at":"2021-09-30T08:24:31.292Z","updated_at":"2021-09-30T08:24:31.292Z"}],"licence_links":[],"grants":[{"id":6905,"fairsharing_record_id":1161,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:28:18.293Z","updated_at":"2021-09-30T09:31:17.746Z","grant_id":1106,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115156","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":6904,"fairsharing_record_id":1161,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:18.251Z","updated_at":"2021-09-30T09:28:18.251Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6908,"fairsharing_record_id":1161,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:18.414Z","updated_at":"2021-09-30T09:29:34.093Z","grant_id":304,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/I017909/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6906,"fairsharing_record_id":1161,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:18.333Z","updated_at":"2021-09-30T09:31:58.042Z","grant_id":1409,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM070923","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6907,"fairsharing_record_id":1161,"organisation_id":2851,"relation":"funds","created_at":"2021-09-30T09:28:18.376Z","updated_at":"2021-09-30T09:32:07.317Z","grant_id":1478,"is_lead":false,"saved_state":{"id":2851,"name":"The Virtual Physiological Rat Project","grant":"NIH P50-GM094503","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1162","type":"fairsharing_records","attributes":{"created_at":"2018-08-12T09:39:15.000Z","updated_at":"2024-05-02T09:57:31.593Z","metadata":{"doi":"10.25504/FAIRsharing.2e0599","name":"Component Metadata Specification","status":"ready","contacts":[{"contact_name":"CMDI Helpdesk","contact_email":"cmdi@clarin.eu"}],"homepage":"https://www.clarin.eu/cmdi","citations":[],"identifier":1162,"description":"CDMI is a standardised format for describing the components of metadata. The format is customisiable and compatible with other metadata formats. It provides a framework to describe and reuse metadata blueprints. Description building blocks (“components”, which include field definitions) can be grouped into a ready-made description format (a “profile”). Both are stored and shared with other users in the Component Registry to promote reuse. Each metadata record is then expressed as an XML file, including a link to the profile on which it is based.","abbreviation":"CMDI","support_links":[{"url":"https://www.clarin.eu/blog/cmdi-12-has-arrived","name":"Announcing CDMI 1.2","type":"Blog/News"},{"url":"https://www.clarin.eu/faq-page/267","name":"CDMI FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.clarin.eu/cmdi","name":"About Component Metadata","type":"Help documentation"},{"url":"https://www.clarin.eu/cmdi1.2-specification","name":"Technical Specification Metadata","type":"Help documentation"},{"url":"http://hdl.handle.net/11372/CMDI-0001","name":"CDMI Toolkit (GitHub)","type":"Help documentation"},{"url":"https://github.com/clarin-eric/awesome-cmdi","name":"Awesome Component Metadata Infrastrucutre (CMDI): A curated list of CMDI services, tools and documentation","type":"Help documentation"},{"url":"cmdi@clarin.eu","name":"cmdi@clarin.eu","type":"Support email"},{"url":"https://forum.clarin.eu/tag/metadata","name":"CLARIN forum","type":"Forum"}],"year_creation":2012,"associated_tools":[{"url":"https://github.com/clarin-eric/cmdi-toolkit/","name":"CMDI 1.2 toolkit"}]},"legacy_ids":["bsg-001232","bsg-s001232"],"name":"FAIRsharing record for: Component Metadata Specification","abbreviation":"CMDI","url":"https://fairsharing.org/10.25504/FAIRsharing.2e0599","doi":"10.25504/FAIRsharing.2e0599","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDMI is a standardised format for describing the components of metadata. The format is customisiable and compatible with other metadata formats. It provides a framework to describe and reuse metadata blueprints. Description building blocks (“components”, which include field definitions) can be grouped into a ready-made description format (a “profile”). Both are stored and shared with other users in the Component Registry to promote reuse. Each metadata record is then expressed as an XML file, including a link to the profile on which it is based.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Humanities and Social Science","Linguistics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands"],"publications":[{"id":3766,"pubmed_id":null,"title":"Component Metadata Infrastructure","year":2022,"url":"https://doi.org/10.1515/9783110767377-008","authors":"Windhouwer, Menzo; Goosen, Twan; ","journal":"CLARIN","doi":"10.1515/9783110767377-008","created_at":"2023-01-05T11:02:14.204Z","updated_at":"2023-01-05T11:02:14.204Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1227,"relation":"undefined"}],"grants":[{"id":6909,"fairsharing_record_id":1162,"organisation_id":566,"relation":"maintains","created_at":"2021-09-30T09:28:18.451Z","updated_at":"2021-09-30T09:28:18.451Z","grant_id":null,"is_lead":true,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure (CLARIN) European Research Infrastructure Consortium (ERIC), Utrecht University, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1163","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:16:20.570Z","metadata":{"doi":"10.25504/FAIRsharing.2m4ms9","name":"Protein MODification","status":"ready","contacts":[{"contact_name":"John S Garavelli","contact_email":"john.garavelli@ebi.ac.uk"}],"homepage":"http://www.psidev.info/groups/protein-modifications","citations":[{"doi":"10.1038/nbt0808-864","pubmed_id":18688235,"publication_id":975}],"identifier":1163,"description":"PSI-MOD is an ontology consisting of terms that describe protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified.","abbreviation":"PSI-MOD","support_links":[{"url":"pierre-alain.binz@chuv.ch","name":"Pierre-Alain Binz","type":"Support email"},{"url":"psidev-mod-vocab@lists.sourceforge.net","name":"PSI-MOD Mailing List","type":"Mailing list"},{"url":"https://sourceforge.net/p/psidev/mod-controlled-vocab-changes/","name":"PSI-MOD Changelist","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PSIMOD","name":"PSIMOD","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mod.html","name":"mod","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000138","bsg-s000138"],"name":"FAIRsharing record for: Protein MODification","abbreviation":"PSI-MOD","url":"https://fairsharing.org/10.25504/FAIRsharing.2m4ms9","doi":"10.25504/FAIRsharing.2m4ms9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PSI-MOD is an ontology consisting of terms that describe protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11143},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11426}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Enzymatic reaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Switzerland","United Kingdom","United States"],"publications":[{"id":975,"pubmed_id":18688235,"title":"The PSI-MOD community standard for representation of protein modification data.","year":2008,"url":"http://doi.org/10.1038/nbt0808-864","authors":"Montecchi-Palazzi L,Beavis R,Binz PA,Chalkley RJ,Cottrell J,Creasy D,Shofstahl J,Seymour SL,Garavelli JS","journal":"Nat Biotechnol","doi":"10.1038/nbt0808-864","created_at":"2021-09-30T08:24:07.863Z","updated_at":"2021-09-30T08:24:07.863Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1396,"relation":"undefined"}],"grants":[{"id":6910,"fairsharing_record_id":1163,"organisation_id":1288,"relation":"maintains","created_at":"2021-09-30T09:28:18.564Z","updated_at":"2021-09-30T09:28:18.564Z","grant_id":null,"is_lead":true,"saved_state":{"id":1288,"name":"HUPO-PSI initiative; MOD administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1165","type":"fairsharing_records","attributes":{"created_at":"2018-08-16T22:11:44.000Z","updated_at":"2023-09-29T11:54:59.784Z","metadata":{"doi":"10.25504/FAIRsharing.51fdf0","name":"Language resource management -- Semantic annotation framework (SemAF) -- Part 2: Dialogue acts","status":"ready","contacts":[{"contact_name":"Key-Sun Choi","contact_email":"kschoi@kaist.ac.kr"}],"homepage":"https://www.iso.org/standard/51967.html","citations":[],"identifier":1165,"description":"ISO 24617-2:2012 provides a set of empirically and theoretically well-motivated concepts for dialogue annotation, a formal language for expressing dialogue annotations -- the dialogue act markup language (DiAML) -- and a method for segmenting a dialogue into semantic units. This allows the manual or automatic annotation of dialogue segments with information about the communicative actions which the participants perform by their contributions to the dialogue. It supports multidimensional annotation, in which units in dialogue are viewed as having multiple communicative functions. The DiAML language has an XML-based representation format and a formal semantics which makes it possible to apply inference to DiAML representations. Please note that, although this specification is current, a new revision of it is under development.","abbreviation":"ISO 24617-2:2012","support_links":[{"url":"https://www.iso.org/contents/data/standard/05/19/51967.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2012},"legacy_ids":["bsg-001236","bsg-s001236"],"name":"FAIRsharing record for: Language resource management -- Semantic annotation framework (SemAF) -- Part 2: Dialogue acts","abbreviation":"ISO 24617-2:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.51fdf0","doi":"10.25504/FAIRsharing.51fdf0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 24617-2:2012 provides a set of empirically and theoretically well-motivated concepts for dialogue annotation, a formal language for expressing dialogue annotations -- the dialogue act markup language (DiAML) -- and a method for segmenting a dialogue into semantic units. This allows the manual or automatic annotation of dialogue segments with information about the communicative actions which the participants perform by their contributions to the dialogue. It supports multidimensional annotation, in which units in dialogue are viewed as having multiple communicative functions. The DiAML language has an XML-based representation format and a formal semantics which makes it possible to apply inference to DiAML representations. Please note that, although this specification is current, a new revision of it is under development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Linguistics"],"domains":["Annotation","Curated information"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":980,"relation":"undefined"}],"grants":[{"id":6911,"fairsharing_record_id":1165,"organisation_id":1528,"relation":"maintains","created_at":"2021-09-30T09:28:18.619Z","updated_at":"2021-09-30T09:28:18.619Z","grant_id":null,"is_lead":true,"saved_state":{"id":1528,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 4: Language resource management","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10931,"fairsharing_record_id":1165,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:22:05.601Z","updated_at":"2023-09-27T14:22:05.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1139","type":"fairsharing_records","attributes":{"created_at":"2018-11-21T19:51:48.000Z","updated_at":"2023-03-14T17:42:02.983Z","metadata":{"doi":"10.25504/FAIRsharing.HU7Kz2","name":"CDISC Questionnaires, Ratings and Scales","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/foundational/qrs","citations":[],"identifier":1139,"description":"CDISC develops SDTM (tabulation) and ADaM (analysis) QRS supplements that provide information on how to structure the data in a standard format for public domain and copyright-approved instruments. An instrument is a series of questions, tasks or assessments used in clinical research to provide a qualitative or quantitative assessment of a clinical concept or task-based observation. Controlled Terminology is also developed to be used with the supplements.","abbreviation":"CDISC QRS"},"legacy_ids":["bsg-001336","bsg-s001336"],"name":"FAIRsharing record for: CDISC Questionnaires, Ratings and Scales","abbreviation":"CDISC QRS","url":"https://fairsharing.org/10.25504/FAIRsharing.HU7Kz2","doi":"10.25504/FAIRsharing.HU7Kz2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC develops SDTM (tabulation) and ADaM (analysis) QRS supplements that provide information on how to structure the data in a standard format for public domain and copyright-approved instruments. An instrument is a series of questions, tasks or assessments used in clinical research to provide a qualitative or quantitative assessment of a clinical concept or task-based observation. Controlled Terminology is also developed to be used with the supplements.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12128}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Clinical Studies"],"domains":["Disease","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Structured data"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6858,"fairsharing_record_id":1139,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:16.649Z","updated_at":"2021-09-30T09:28:16.649Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6857,"fairsharing_record_id":1139,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:16.565Z","updated_at":"2021-09-30T09:28:16.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1140","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T12:56:36.000Z","updated_at":"2023-06-05T06:22:36.815Z","metadata":{"doi":"10.25504/FAIRsharing.8DrzMv","name":"Sociology Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/3JP/en/","citations":[],"identifier":1140,"description":"Controlled vocabulary used for indexing bibliographical records for the \"Sociology\" FRANCIS database (1972-2015). It consists of 5275 entries in 2 languages (English, French).","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001408","bsg-s001408"],"name":"FAIRsharing record for: Sociology Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8DrzMv","doi":"10.25504/FAIRsharing.8DrzMv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records for the \"Sociology\" FRANCIS database (1972-2015). It consists of 5275 entries in 2 languages (English, French).","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11299}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Sociological Theory","Humanities and Social Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Sociology"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1682,"relation":"undefined"}],"grants":[{"id":6859,"fairsharing_record_id":1140,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.701Z","updated_at":"2021-09-30T09:28:16.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6860,"fairsharing_record_id":1140,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.726Z","updated_at":"2021-09-30T09:28:16.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1141","type":"fairsharing_records","attributes":{"created_at":"2017-11-09T11:06:03.000Z","updated_at":"2022-07-20T10:47:53.565Z","metadata":{"doi":"10.25504/FAIRsharing.q81k8w","name":"Strengthening the Reporting of Observational Studies in Epidemiology—Nutritional Epidemiology","status":"ready","contacts":[{"contact_name":"Carl Lachat","contact_email":"carl.lachat@ugent.be","contact_orcid":"0000-0002-1389-8855"}],"homepage":"http://www.strobe-nut.org","citations":[],"identifier":1141,"description":"STROBE-nut is a guideline for reporting nutrition epidemiology and dietary assessment research by extending the STROBE statement into the STROBE Extension for Nutritional Epidemiology (STROBE-nut).","abbreviation":"STROBE-nut","support_links":[{"url":"https://www.strobe-nut.ugent.be/content/how-use-strobe-nut","name":"how-use-strobe-nut","type":"Help documentation"},{"url":"https://www.strobe-nut.ugent.be/content/consortium","type":"Contact form"}],"year_creation":2016},"legacy_ids":["bsg-001089","bsg-s001089"],"name":"FAIRsharing record for: Strengthening the Reporting of Observational Studies in Epidemiology—Nutritional Epidemiology","abbreviation":"STROBE-nut","url":"https://fairsharing.org/10.25504/FAIRsharing.q81k8w","doi":"10.25504/FAIRsharing.q81k8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STROBE-nut is a guideline for reporting nutrition epidemiology and dietary assessment research by extending the STROBE statement into the STROBE Extension for Nutritional Epidemiology (STROBE-nut).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17363},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12533},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14546}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Nutritional Science","Biomedical Science"],"domains":["Food","Diet","Observation design"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Food pairing"],"countries":["Belgium","France","Sweden","United Kingdom"],"publications":[{"id":134,"pubmed_id":27270749,"title":"Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology (STROBE-nut): An Extension of the STROBE Statement","year":2016,"url":"http://doi.org/10.1371/journal.pmed.1002036","authors":"Lachat C, Hawwash D, Ocké MC, Berg C, Forsum E, Hörnell A, Larsson CL, Sonestedt E, Wirfält E, Åkesson A, Kolsteren P, Byrnes G, De Keyzer W, Van Camp J, Cade JE, Slimani N, Cevallos M, Egger M, Huybrechts I","journal":"Plos Medicine","doi":"10.1371/journal.pmed.1002036","created_at":"2021-09-30T08:22:34.681Z","updated_at":"2021-09-30T08:22:34.681Z"},{"id":142,"pubmed_id":27587981,"title":"Strengthening the Reporting of Observational Studies in Epidemiology - nutritional epidemiology (STROBE-nut): An extension of the STROBE statement","year":2016,"url":"http://doi.org/10.1111/nbu.12217","authors":"Lachat C, Hawwash D, Ocké MC, Berg C, Forsum E, Hörnell A, Larsson CL, Sonestedt E, Wirfält E, Åkesson A, Kolsteren P, Byrnes G, De Keyzer W, Van Camp J, Cade JE, Slimani N, Cevallos M, Egger M, Huybrechts I","journal":"Nutrition bulletin","doi":"10.1111/nbu.12217","created_at":"2021-09-30T08:22:35.506Z","updated_at":"2021-09-30T08:22:35.506Z"},{"id":1957,"pubmed_id":28916567,"title":"Perspective: An Extension of the STROBE Statement for Observational Studies in Nutritional Epidemiology (STROBE-nut): Explanation and Elaboration","year":2017,"url":"http://doi.org/10.3945/an.117.015941","authors":"Agneta Hörnell et al.","journal":"Advances in nutrition","doi":"10.3945/an.117.015941","created_at":"2021-09-30T08:26:00.231Z","updated_at":"2021-09-30T08:26:00.231Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1511,"relation":"undefined"}],"grants":[{"id":6861,"fairsharing_record_id":1141,"organisation_id":3299,"relation":"maintains","created_at":"2021-09-30T09:28:16.750Z","updated_at":"2021-11-09T11:28:29.421Z","grant_id":null,"is_lead":true,"saved_state":{"id":3299,"name":"UGent","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1142","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:20:34.000Z","updated_at":"2023-06-02T15:17:18.808Z","metadata":{"doi":"10.25504/FAIRsharing.9yHHCp","name":"Electronics and Optoelectronics Vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/RDR/en/","citations":[],"identifier":1142,"description":"Vocabulary used for indexing bibliographical records dealing with “Electronics” in the PASCAL database, until 2014. This resource consists of 4454 entries in 3 languages (English, French and Spanish) classified under 19 collections.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001413","bsg-s001413"],"name":"FAIRsharing record for: Electronics and Optoelectronics Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9yHHCp","doi":"10.25504/FAIRsharing.9yHHCp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Vocabulary used for indexing bibliographical records dealing with “Electronics” in the PASCAL database, until 2014. This resource consists of 4454 entries in 3 languages (English, French and Spanish) classified under 19 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11298}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Component Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Electronics","Optoelectronics","Semiconductor electronics"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1108,"relation":"undefined"}],"grants":[{"id":6862,"fairsharing_record_id":1142,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.776Z","updated_at":"2021-09-30T09:28:16.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6863,"fairsharing_record_id":1142,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.801Z","updated_at":"2021-09-30T09:28:16.801Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1155","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:52:04.392Z","metadata":{"doi":"10.25504/FAIRsharing.kay31r","name":"Comparative Data Analysis Ontology","status":"ready","contacts":[{"contact_name":"Jim Balhoff","contact_email":"balhoff@gmail.com","contact_orcid":"0000-0002-8688-6599"}],"homepage":"https://github.com/evoinfo/cdao","citations":[{"doi":"10.4137/ebo.s2320","pubmed_id":19812726,"publication_id":2729}],"identifier":1155,"description":"Comparative Data Analysis Ontology (CDAO) is a formalization of concepts and relations relevant to evolutionary comparative analysis, such as phylogenetic trees, OTUs (operational taxonomic units) and compared characters (including molecular characters as well as other types).","abbreviation":"CDAO","support_links":[{"url":"https://github.com/evoinfo/cdao/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CDAO","name":"CDAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cdao.html","name":"cdao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002618","bsg-s002618"],"name":"FAIRsharing record for: Comparative Data Analysis Ontology","abbreviation":"CDAO","url":"https://fairsharing.org/10.25504/FAIRsharing.kay31r","doi":"10.25504/FAIRsharing.kay31r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Comparative Data Analysis Ontology (CDAO) is a formalization of concepts and relations relevant to evolutionary comparative analysis, such as phylogenetic trees, OTUs (operational taxonomic units) and compared characters (including molecular characters as well as other types).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12018}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular biology","Bioinformatics","Taxonomy","Phylogenetics","Evolutionary Biology","Life Science","Biomedical Science"],"domains":["Evolution"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2729,"pubmed_id":19812726,"title":"Initial implementation of a comparative data analysis ontology.","year":2009,"url":"http://doi.org/10.4137/ebo.s2320","authors":"Prosdocimi F,Chisham B,Pontelli E,Thompson JD,Stoltzfus A","journal":"Evol Bioinform Online","doi":"10.4137/ebo.s2320","created_at":"2021-09-30T08:27:35.187Z","updated_at":"2021-09-30T08:27:35.187Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1770,"relation":"undefined"}],"grants":[{"id":6891,"fairsharing_record_id":1155,"organisation_id":387,"relation":"maintains","created_at":"2021-09-30T09:28:17.741Z","updated_at":"2021-09-30T09:28:17.741Z","grant_id":null,"is_lead":true,"saved_state":{"id":387,"name":"CDAO Developers","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1156","type":"fairsharing_records","attributes":{"created_at":"2016-01-21T10:30:34.000Z","updated_at":"2022-07-20T10:26:09.666Z","metadata":{"doi":"10.25504/FAIRsharing.s19src","name":"Systems Biology Ontology","status":"ready","contacts":[{"contact_name":"BioModels Support","contact_email":"biomodels-net-support@lists.sf.net"}],"homepage":"http://www.ebi.ac.uk/sbo/","citations":[],"identifier":1156,"description":"The Systems Biology Ontology is a set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modelling. It consists of seven orthogonal vocabularies defining: reaction participants roles (e.g. \"substrate\"), quantitative parameters (e.g. \"Michaelis constant\"), classification of mathematical expressions describing the system (e.g. \"mass action rate law\"), modelling framework used (e.g. \"logical framework\"), the nature of the entity (e.g. \"macromolecule\"), the type of interaction (e.g. \"process\"), as well as a branch to define the different types of metadata that may be present within a model. Use of such terms introduces a layer of semantic information into the standard description of a model, facilitating its interpretation and efficient reuse.","abbreviation":"SBO","support_links":[{"url":"http://www.ebi.ac.uk/sbo/main/static?page=FAQ","name":"SBO FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://sourceforge.net/p/sbo/","name":"Sourceforge Project","type":"Help documentation"},{"url":"http://www.ebi.ac.uk/sbo/main/static?page=contribute","name":"Contribute to SBO","type":"Help documentation"},{"url":"https://twitter.com/biomodels","name":"@biomodels","type":"Twitter"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SBO","name":"SBO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/sbo.html","name":"sbo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000637","bsg-s000637"],"name":"FAIRsharing record for: Systems Biology Ontology","abbreviation":"SBO","url":"https://fairsharing.org/10.25504/FAIRsharing.s19src","doi":"10.25504/FAIRsharing.s19src","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systems Biology Ontology is a set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modelling. It consists of seven orthogonal vocabularies defining: reaction participants roles (e.g. \"substrate\"), quantitative parameters (e.g. \"Michaelis constant\"), classification of mathematical expressions describing the system (e.g. \"mass action rate law\"), modelling framework used (e.g. \"logical framework\"), the nature of the entity (e.g. \"macromolecule\"), the type of interaction (e.g. \"process\"), as well as a branch to define the different types of metadata that may be present within a model. Use of such terms introduces a layer of semantic information into the standard description of a model, facilitating its interpretation and efficient reuse.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11178},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12071},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12223},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16994}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Systems Biology"],"domains":["Mathematical model","Modeling and simulation","Molecular interaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":22,"pubmed_id":22027554,"title":"Controlled vocabularies and semantics in systems biology.","year":2011,"url":"http://doi.org/10.1038/msb.2011.77","authors":"Courtot M,Juty N,Knupfer C et al.","journal":"Mol Syst Biol","doi":"10.1038/msb.2011.77","created_at":"2021-09-30T08:22:22.740Z","updated_at":"2021-09-30T08:22:22.740Z"}],"licence_links":[{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":23,"relation":"undefined"}],"grants":[{"id":6893,"fairsharing_record_id":1156,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:28:17.835Z","updated_at":"2021-09-30T09:28:17.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6896,"fairsharing_record_id":1156,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:17.980Z","updated_at":"2021-09-30T09:28:17.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6892,"fairsharing_record_id":1156,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:17.784Z","updated_at":"2021-09-30T09:28:17.784Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6894,"fairsharing_record_id":1156,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:17.893Z","updated_at":"2021-09-30T09:28:17.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6895,"fairsharing_record_id":1156,"organisation_id":2498,"relation":"maintains","created_at":"2021-09-30T09:28:17.943Z","updated_at":"2021-09-30T09:28:17.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":2498,"name":"SBML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1157","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-03T10:48:35.352Z","metadata":{"doi":"10.25504/FAIRsharing.m0e1s0","name":"SoyOntology","status":"ready","contacts":[{"contact_name":"David Grant","contact_email":"david.grant@ars.usda.gov"}],"homepage":"https://soybase.org/ontology.php","citations":[],"identifier":1157,"description":"This is a community-curated controlled vocabulary for soybean field growth stages (Soybean Whole Plant Growth Ontology), plant structure names (Soybean Structure Ontology), development (Soybean Development Ontology) and plant traits (Soybean Trait Ontology). Where applicable, soybean specific terms have been associated with their Plant Ontology (PO) and Gramene Plant Trait Ontology (TO) synonyms to facilitate cross species comparisons. Currently, there are 4 divisions to SOY terms, soybean structural terms (Soybean Structure Ontology), developmental stages (Soybean Developmental Ontology), whole plant development terms (Soybean Whole Plant Growth Stages) and trait terms (Soybean Trait Ontology). For the trait, structure and development terms the old SoyTO and SoyGRO accessions have been added to their records as synonyms for continuity.","abbreviation":"SOY","support_links":[{"url":"https://bit.ly/SoyBase-Contact-Us","name":"Contact SoyBase","type":"Contact form"},{"url":"https://soybase.org/tutorials/","name":"SoyBase Tutorials","type":"Training documentation"},{"url":"https://twitter.com/SoyBaseDatabase","name":"@SoyBaseDatabase","type":"Twitter"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SOY","name":"SOY","portal":"BioPortal"}]},"legacy_ids":["bsg-002798","bsg-s002798"],"name":"FAIRsharing record for: SoyOntology","abbreviation":"SOY","url":"https://fairsharing.org/10.25504/FAIRsharing.m0e1s0","doi":"10.25504/FAIRsharing.m0e1s0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a community-curated controlled vocabulary for soybean field growth stages (Soybean Whole Plant Growth Ontology), plant structure names (Soybean Structure Ontology), development (Soybean Development Ontology) and plant traits (Soybean Trait Ontology). Where applicable, soybean specific terms have been associated with their Plant Ontology (PO) and Gramene Plant Trait Ontology (TO) synonyms to facilitate cross species comparisons. Currently, there are 4 divisions to SOY terms, soybean structural terms (Soybean Structure Ontology), developmental stages (Soybean Developmental Ontology), whole plant development terms (Soybean Whole Plant Growth Stages) and trait terms (Soybean Trait Ontology). For the trait, structure and development terms the old SoyTO and SoyGRO accessions have been added to their records as synonyms for continuity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Anatomy","Agriculture","Developmental Biology"],"domains":["Phenotype","Life cycle stage"],"taxonomies":["Glycine max","Glycine soja"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1336,"pubmed_id":20008513,"title":"SoyBase, the USDA-ARS soybean genetics and genomics database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp798","authors":"Grant D., Nelson RT., Cannon SB., Shoemaker RC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp798","created_at":"2021-09-30T08:24:49.518Z","updated_at":"2021-09-30T08:24:49.518Z"}],"licence_links":[{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1759,"relation":"undefined"}],"grants":[{"id":6899,"fairsharing_record_id":1157,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:28:18.061Z","updated_at":"2021-09-30T09:28:18.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6897,"fairsharing_record_id":1157,"organisation_id":2605,"relation":"maintains","created_at":"2021-09-30T09:28:18.012Z","updated_at":"2021-09-30T09:28:18.012Z","grant_id":null,"is_lead":true,"saved_state":{"id":2605,"name":"SOY Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6898,"fairsharing_record_id":1157,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:28:18.036Z","updated_at":"2021-09-30T09:28:18.036Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1169","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:53:04.079Z","metadata":{"doi":"10.25504/FAIRsharing.na5xp","name":"Statistics Ontology","status":"ready","contacts":[{"contact_name":"Philippe Rocca-Serra","contact_email":"philippe.rocca-serra@oerc.ox.ac.uk","contact_orcid":"0000-0001-9853-5668"}],"homepage":"http://stato-ontology.org/","citations":[],"identifier":1169,"description":"STATO is a general-purpose STATistics Ontology. Its aim is to provide coverage for processes such as statistical tests, their conditions of applications, and information needed or resulting from statistical methods, such as probability distributions, variable, spread and variation metrics. STATO also covers aspects of experimental design and description of plots and graphical representations commonly used to provide visual cues of data distribution or layout and to assist review of the results.","abbreviation":"STATO","support_links":[{"url":"https://github.com/ISA-tools/stato/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"stat-ontology@googlegroups.com","name":"STATO Google Group","type":"Mailing list"},{"url":"https://github.com/ISA-tools/stato","name":"GitHub Repository","type":"Github"},{"url":"http://frog.oerc.ox.ac.uk:8080/stato-app/queryCases.jsp","name":"STATO Query Cases","type":"Help documentation"},{"url":"http://frog.oerc.ox.ac.uk:8080/stato-app/useCases.jsp","name":"Users and Use Cases","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/STATO","name":"STATO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/stato.html","name":"stato","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000548","bsg-s000548"],"name":"FAIRsharing record for: Statistics Ontology","abbreviation":"STATO","url":"https://fairsharing.org/10.25504/FAIRsharing.na5xp","doi":"10.25504/FAIRsharing.na5xp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STATO is a general-purpose STATistics Ontology. Its aim is to provide coverage for processes such as statistical tests, their conditions of applications, and information needed or resulting from statistical methods, such as probability distributions, variable, spread and variation metrics. STATO also covers aspects of experimental design and description of plots and graphical representations commonly used to provide visual cues of data distribution or layout and to assist review of the results.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10883},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11285},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12045}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Statistics","Data Visualization"],"domains":["Experimental measurement","Graph","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1703,"relation":"undefined"}],"grants":[{"id":6916,"fairsharing_record_id":1169,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:18.796Z","updated_at":"2021-09-30T09:28:18.796Z","grant_id":null,"is_lead":true,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1170","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.041Z","metadata":{"doi":"10.25504/FAIRsharing.tbep2b","name":"Physical Medicine and Rehabilitation","status":"deprecated","contacts":[{"contact_name":"Laia Subirats","contact_email":"laia.subirats@gmail.com","contact_orcid":"0000-0001-8646-5463"}],"homepage":"https://bioportal.bioontology.org/ontologies/PMR","identifier":1170,"description":"Knowledge representation related to computer-based decision support in rehabilitation; concepts and relationships in the rehabilitation domain, integrating clinical practice, the ICD (specifically its 11th revision), the clinical investigator record ontology, the ICF and SNOMED CT.","abbreviation":"PhyMeRe","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PMR","name":"PMR","portal":"BioPortal"}],"deprecation_date":"2016-05-05","deprecation_reason":"This resource has been listed as inactive as up-to-date information on it can no longer be found."},"legacy_ids":["bsg-002788","bsg-s002788"],"name":"FAIRsharing record for: Physical Medicine and Rehabilitation","abbreviation":"PhyMeRe","url":"https://fairsharing.org/10.25504/FAIRsharing.tbep2b","doi":"10.25504/FAIRsharing.tbep2b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Knowledge representation related to computer-based decision support in rehabilitation; concepts and relationships in the rehabilitation domain, integrating clinical practice, the ICD (specifically its 11th revision), the clinical investigator record ontology, the ICF and SNOMED CT.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1171","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-20T12:32:12.119Z","metadata":{"doi":"10.25504/FAIRsharing.g1qrqs","name":"Planarian Anatomy and Developmental Stage Ontology","status":"ready","contacts":[{"contact_name":"Sofia Robb","contact_email":"smr@stowers.org"}],"homepage":"https://planosphere.stowers.org/anatomyontology","identifier":1171,"description":"Anatomy ontology for planaria and terms specific to the developmental stages of the planarian Schmidtea mediterranea. As the regenerative flatworm Schmidtea mediterranea gains popularity as a developmental research organism the need for standard nomenclature and a centralized repository of anatomical terms has become increasingly apparent. Utilization of a controlled vocabulary creates opportunities to catalogue genes and expression data for computational searches across research groups and cross-species comparisons, all while establishing a framework for integration of new terms. We created a Planarian Anatomy Ontology containing 327 terms and definitions for cellular organelles, cell types, tissues, organ systems, anatomical entities, life cycle stages and developmental processes described in the literature. Where possible, extant terms and definitions from Uberon and other open source anatomy ontologies were imported into the ontology to strengthen cross-species queries.","abbreviation":"PLANA","support_links":[{"url":"planosphere@stowers.org","name":"Planosphere Helpdesk","type":"Support email"},{"url":"https://github.com/obophenotype/planaria-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PLANA","name":"PLANA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/plana.html","name":"plana","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000987","bsg-s000987"],"name":"FAIRsharing record for: Planarian Anatomy and Developmental Stage Ontology","abbreviation":"PLANA","url":"https://fairsharing.org/10.25504/FAIRsharing.g1qrqs","doi":"10.25504/FAIRsharing.g1qrqs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Anatomy ontology for planaria and terms specific to the developmental stages of the planarian Schmidtea mediterranea. As the regenerative flatworm Schmidtea mediterranea gains popularity as a developmental research organism the need for standard nomenclature and a centralized repository of anatomical terms has become increasingly apparent. Utilization of a controlled vocabulary creates opportunities to catalogue genes and expression data for computational searches across research groups and cross-species comparisons, all while establishing a framework for integration of new terms. We created a Planarian Anatomy Ontology containing 327 terms and definitions for cellular organelles, cell types, tissues, organ systems, anatomical entities, life cycle stages and developmental processes described in the literature. Where possible, extant terms and definitions from Uberon and other open source anatomy ontologies were imported into the ontology to strengthen cross-species queries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Organelle","Organ","Tissue"],"taxonomies":["Schmidtea mediterranea"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":63,"relation":"undefined"}],"grants":[{"id":6917,"fairsharing_record_id":1171,"organisation_id":2648,"relation":"maintains","created_at":"2021-09-30T09:28:18.820Z","updated_at":"2021-09-30T09:28:18.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2648,"name":"Stowers Institute for Medical Research, Kansas City, MO, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1172","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:48.450Z","metadata":{"doi":"10.25504/FAIRsharing.6cs4bf","name":"Analytical Information Markup Language","status":"in_development","contacts":[{"contact_name":"Gary Kramer","contact_email":"gary.kramer@nist.gov"}],"homepage":"http://animl.sourceforge.net/","identifier":1172,"description":"The Analytical Information Markup Language (AnIML) is the emerging ASTM XML standard for analytical chemistry data. It is currently in pre-release form.","abbreviation":"AnIML","support_links":[{"url":"https://www.animl.org/presentations","type":"Help documentation"},{"url":"https://twitter.com/AnIML","type":"Twitter"}],"year_creation":2003},"legacy_ids":["bsg-000545","bsg-s000545"],"name":"FAIRsharing record for: Analytical Information Markup Language","abbreviation":"AnIML","url":"https://fairsharing.org/10.25504/FAIRsharing.6cs4bf","doi":"10.25504/FAIRsharing.6cs4bf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Analytical Information Markup Language (AnIML) is the emerging ASTM XML standard for analytical chemistry data. It is currently in pre-release form.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11727}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Mass spectrum","Analysis","Nuclear Magnetic Resonance (NMR) spectroscopy","Raman spectroscopy","Infared spectroscopy","Ultraviolet-visible spectroscopy","Material processing"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Germany","Hungary","Switzerland","United States"],"publications":[{"id":630,"pubmed_id":null,"title":"Documenting laboratory workflows using the Analytical Information Markup Language","year":2004,"url":"http://doi.org/10.1016/j.jala.2004.10.003","authors":"Burkhard A. Schaefer, Dominik Poetz, and Gary W. Kramer","journal":"Journal of Laboratory Automation","doi":"10.1016/j.jala.2004.10.003","created_at":"2021-09-30T08:23:29.225Z","updated_at":"2021-09-30T08:23:29.225Z"},{"id":2146,"pubmed_id":null,"title":"Automated Generation of AnIML Documents by Analytical Instruments","year":2004,"url":"http://doi.org/10.1016/j.jala.2006.05.013","authors":"Alexander Roth, Ronny Jopp, Reinhold Schaefer, and Gary W. Kramer","journal":"Journal of Laboratory Automation","doi":"10.1016/j.jala.2006.05.013","created_at":"2021-09-30T08:26:21.866Z","updated_at":"2021-09-30T08:26:21.866Z"}],"licence_links":[],"grants":[{"id":6920,"fairsharing_record_id":1172,"organisation_id":328,"relation":"maintains","created_at":"2021-09-30T09:28:18.905Z","updated_at":"2021-09-30T09:28:18.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":328,"name":"BSSN Software","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6919,"fairsharing_record_id":1172,"organisation_id":126,"relation":"maintains","created_at":"2021-09-30T09:28:18.873Z","updated_at":"2021-09-30T09:28:18.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":126,"name":"ASTM E13.15 Standards Committee","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6921,"fairsharing_record_id":1172,"organisation_id":3222,"relation":"maintains","created_at":"2021-09-30T09:28:18.943Z","updated_at":"2021-09-30T09:28:18.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":3222,"name":"Waters Corporation","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6922,"fairsharing_record_id":1172,"organisation_id":2025,"relation":"maintains","created_at":"2021-09-30T09:28:18.985Z","updated_at":"2021-09-30T09:28:18.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":2025,"name":"National Institute of Standards and Technology (NIST), Gaithersburg MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9328,"fairsharing_record_id":1172,"organisation_id":403,"relation":"maintains","created_at":"2022-04-11T12:07:30.726Z","updated_at":"2022-04-11T12:07:30.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1174","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:54.571Z","metadata":{"doi":"10.25504/FAIRsharing.2hzttx","name":"Breast Cancer Grading Ontology","status":"uncertain","contacts":[{"contact_name":"Alexandra Bulzan","contact_email":"alex27bulzan@yahoo.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1304","identifier":1174,"description":"Breast Cancer Grading Ontology assigns a grade to a tumor starting from the 3 criteria of the NGS.","abbreviation":"BCGO","cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BCGO","name":"BCGO","portal":"BioPortal"}]},"legacy_ids":["bsg-002596","bsg-s002596"],"name":"FAIRsharing record for: Breast Cancer Grading Ontology","abbreviation":"BCGO","url":"https://fairsharing.org/10.25504/FAIRsharing.2hzttx","doi":"10.25504/FAIRsharing.2hzttx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Breast Cancer Grading Ontology assigns a grade to a tumor starting from the 3 criteria of the NGS.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Cancer","Tumor","Tumor grading","Disease","Diagnosis","Mammary gland"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1175","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.161Z","metadata":{"doi":"10.25504/FAIRsharing.93ee19","name":"Anatomical Entity Ontology","status":"ready","contacts":[{"contact_name":"Jonathan Bard","contact_email":"J.Bard@ed.ac.uk"}],"homepage":"http://www.obofoundry.org/ontology/aeo.html","identifier":1175,"description":"The AEO ontology of anatomical structures is a resource to facilitate the increase in knowledge in anatomy ontologies, supporting annotation and enabling compatibility with other anatomy ontologies. The ontology can be used to classify most organisms as its terms are appropriate for most plant and fungal tissues. It is envisaged that in future the ontology will include more non-animal anatomical terms.","abbreviation":"AEO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AEO","name":"AEO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/aeo.html","name":"aeo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000004","bsg-s000004"],"name":"FAIRsharing record for: Anatomical Entity Ontology","abbreviation":"AEO","url":"https://fairsharing.org/10.25504/FAIRsharing.93ee19","doi":"10.25504/FAIRsharing.93ee19","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AEO ontology of anatomical structures is a resource to facilitate the increase in knowledge in anatomy ontologies, supporting annotation and enabling compatibility with other anatomy ontologies. The ontology can be used to classify most organisms as its terms are appropriate for most plant and fungal tissues. It is envisaged that in future the ontology will include more non-animal anatomical terms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11939}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Fungi","Invertebrata","Plantae","Vertebrata"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":971,"pubmed_id":22347883,"title":"The AEO, an Ontology of Anatomical Entities for Classifying Animal Tissues and Organs.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00018","authors":"Bard JB","journal":"Front Genet","doi":"10.3389/fgene.2012.00018","created_at":"2021-09-30T08:24:07.430Z","updated_at":"2021-09-30T08:24:07.430Z"}],"licence_links":[],"grants":[{"id":6923,"fairsharing_record_id":1175,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:19.027Z","updated_at":"2021-09-30T09:28:19.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1177","type":"fairsharing_records","attributes":{"created_at":"2015-10-05T14:20:52.000Z","updated_at":"2022-07-20T12:43:27.143Z","metadata":{"doi":"10.25504/FAIRsharing.8frn6v","name":"Histoimmunogenetics Markup Language","status":"ready","contacts":[{"contact_name":"Martin Maiers","contact_email":"mmaiers@nmdp.org"}],"homepage":"https://bioinformatics.bethematchclinical.org/HLA-Resources/HML/","identifier":1177,"description":"Histoimmunogenetics Markup Language (HML) is intended as a potentially general-purpose XML format for exchanging genetic typing data. This format supports NGS based genotyping methods, raw sequence reads, registered methodologies, reference data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","abbreviation":"HML","support_links":[{"url":"bioinformatics-web@nmdp.org","type":"Support email"},{"url":"https://github.com/nmdp-bioinformatics/hml","type":"Github"}],"year_creation":1998},"legacy_ids":["bsg-000622","bsg-s000622"],"name":"FAIRsharing record for: Histoimmunogenetics Markup Language","abbreviation":"HML","url":"https://fairsharing.org/10.25504/FAIRsharing.8frn6v","doi":"10.25504/FAIRsharing.8frn6v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Histoimmunogenetics Markup Language (HML) is intended as a potentially general-purpose XML format for exchanging genetic typing data. This format supports NGS based genotyping methods, raw sequence reads, registered methodologies, reference data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunology","Life Science"],"domains":["Next generation DNA sequencing","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6924,"fairsharing_record_id":1177,"organisation_id":2810,"relation":"maintains","created_at":"2021-09-30T09:28:19.068Z","updated_at":"2021-09-30T09:28:19.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":2810,"name":"The National Marrow Donor Program (NMDP)","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1238","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:14.000Z","updated_at":"2024-03-21T13:58:13.351Z","metadata":{"doi":"10.25504/FAIRsharing.7rfpgs","name":"LINCS Extended Metadata Standard: Small molecules","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Small_Molecule_Metadata_2017.pdf","citations":[],"identifier":1238,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Small molecules are used as perturbagens in LINCS experiments. Small-molecule metadata also include substance-specific batch information, such as compound provider, salt form, molecular mass, purity, and aqueous solubility. For Food and Drug Administration–approved drugs, they proposed reporting additional information, such as drug indication and mechanism of action. If available, Protein Data Bank identifiers of corresponding target small-molecule co-crystal structures should also be reported.","abbreviation":"LINCS 2: Small molecules","support_links":[{"url":"https://lincsproject.org/LINCS/files/Small_Molecule_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000655","bsg-s000655"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Small molecules","abbreviation":"LINCS 2: Small molecules","url":"https://fairsharing.org/10.25504/FAIRsharing.7rfpgs","doi":"10.25504/FAIRsharing.7rfpgs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Small molecules are used as perturbagens in LINCS experiments. Small-molecule metadata also include substance-specific batch information, such as compound provider, salt form, molecular mass, purity, and aqueous solubility. For Food and Drug Administration–approved drugs, they proposed reporting additional information, such as drug indication and mechanism of action. If available, Protein Data Bank identifiers of corresponding target small-molecule co-crystal structures should also be reported.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11900},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12493}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Chemical Biology","Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Catalytic activity","Small molecule"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":7039,"fairsharing_record_id":1238,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:23.732Z","updated_at":"2021-09-30T09:28:23.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11544,"fairsharing_record_id":1238,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:13.159Z","updated_at":"2024-03-21T13:58:13.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1239","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:28:53.132Z","metadata":{"doi":"10.25504/FAIRsharing.zb33h5","name":"TAIR annotation data Format","status":"ready","contacts":[{"contact_name":"TAIR staff","contact_email":"curator@arabidopsis.org"}],"homepage":"http://www.arabidopsis.org/portals/genAnnotation/functional_annotation/go.jsp","citations":[],"identifier":1239,"description":"At TAIR, we display Gene Ontology and Plant Ontology annotations made by TAIR curators and those made by the community including individual researchers and contributors to the GO Consortium. The GO annotations in TAIR are made using a combination of manual and computational methods.","abbreviation":null,"support_links":[{"url":"curator@arabidopsis.org","type":"Support email"}],"year_creation":2003,"associated_tools":[{"url":"http://www.arabidopsis.org/tools/bulk/go/index.jsp","name":"GO Annotation Download Tool"}]},"legacy_ids":["bsg-000267","bsg-s000267"],"name":"FAIRsharing record for: TAIR annotation data Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zb33h5","doi":"10.25504/FAIRsharing.zb33h5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: At TAIR, we display Gene Ontology and Plant Ontology annotations made by TAIR curators and those made by the community including individual researchers and contributors to the GO Consortium. The GO annotations in TAIR are made using a combination of manual and computational methods.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1098,"pubmed_id":20521243,"title":"Using the Arabidopsis information resource (TAIR) to find information about Arabidopsis genes.","year":2010,"url":"http://doi.org/10.1002/0471250953.bi0111s30","authors":"Lamesch P., Dreher K., Swarbreck D., Sasidharan R., Reiser L., Huala E.,","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0111s30","created_at":"2021-09-30T08:24:21.567Z","updated_at":"2021-09-30T08:24:21.567Z"},{"id":1724,"pubmed_id":26201819,"title":"The Arabidopsis information resource: Making and mining the \"gold standard\" annotated reference plant genome.","year":2015,"url":"http://doi.org/10.1002/dvg.22877","authors":"Berardini TZ,Reiser L,Li D,Mezheritsky Y,Muller R,Strait E,Huala E","journal":"Genesis","doi":"10.1002/dvg.22877","created_at":"2021-09-30T08:25:33.170Z","updated_at":"2021-09-30T08:25:33.170Z"},{"id":1832,"pubmed_id":15173566,"title":"Functional annotation of the Arabidopsis genome using controlled vocabularies.","year":2004,"url":"http://doi.org/10.1104/pp.104.040071","authors":"Berardini TZ,Mundodi S,Reiser L,Huala E,Garcia-Hernandez M,Zhang P,Mueller LA,Yoon J,Doyle A,Lander G,Moseyko N,Yoo D,Xu I,Zoeckler B,Montoya M,Miller N,Weems D,Rhee SY","journal":"Plant Physiol","doi":"10.1104/pp.104.040071","created_at":"2021-09-30T08:25:45.755Z","updated_at":"2021-09-30T08:25:45.755Z"}],"licence_links":[{"licence_name":"TAIR Software License","licence_id":769,"licence_url":"http://www.arabidopsis.org/doc/about/tair_licensing/416","link_id":1359,"relation":"undefined"},{"licence_name":"TAIR Terms of Use","licence_id":770,"licence_url":"http://www.arabidopsis.org/doc/about/tair_terms_of_use/417","link_id":1358,"relation":"undefined"}],"grants":[{"id":7041,"fairsharing_record_id":1239,"organisation_id":2322,"relation":"maintains","created_at":"2021-09-30T09:28:23.797Z","updated_at":"2021-09-30T09:28:23.797Z","grant_id":null,"is_lead":false,"saved_state":{"id":2322,"name":"Phoenix Bioinformatics Corporation","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1240","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:30.000Z","updated_at":"2023-03-23T15:22:35.391Z","metadata":{"doi":"10.25504/FAIRsharing.w4x6n4","name":"Ontology of Vaccine Adverse Events","status":"ready","contacts":[{"contact_name":"Yongqunh He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/OVAE-Ontology/ovae","citations":[],"identifier":1240,"description":"The Ontology of Vaccine Adverse Events (OVAE) is a biomedical ontology in the area of vaccine adverse events. While they are extremely useful in decreasing infection prevalence in human populations, vaccines may also induce some unintended adverse events. As vaccine usage increases, the risk of adverse events proportionally increases. To protect public health, it is necessary to represent, study, and analyze various vaccine adverse events (VAES). Two existing ontologies are closely related to the VAE studies. The Ontology of Adverse Events (OAE) is a community-based biomedical ontology in the area of adverse events. The Vaccine Ontology (VO) represents various vaccines, vaccine components, and vaccinations. Both OAE and VO are OBO Foundry candidate ontologies and are developed by following the OBO Foundry principles. To better represent various VAEs and support vaccine safety study, we developed the Ontology of Vaccine Adverse Events (OVAE) as an extension of the biomedical ontologies OAE and VO.","abbreviation":"OVAE","support_links":[{"url":"http://www.hegroup.org/contacts/index.php","name":"Contact the He Group","type":"Contact form"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OVAE","name":"OVAE","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ovae.html","name":"ovae","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000891","bsg-s000891"],"name":"FAIRsharing record for: Ontology of Vaccine Adverse Events","abbreviation":"OVAE","url":"https://fairsharing.org/10.25504/FAIRsharing.w4x6n4","doi":"10.25504/FAIRsharing.w4x6n4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Vaccine Adverse Events (OVAE) is a biomedical ontology in the area of vaccine adverse events. While they are extremely useful in decreasing infection prevalence in human populations, vaccines may also induce some unintended adverse events. As vaccine usage increases, the risk of adverse events proportionally increases. To protect public health, it is necessary to represent, study, and analyze various vaccine adverse events (VAES). Two existing ontologies are closely related to the VAE studies. The Ontology of Adverse Events (OAE) is a community-based biomedical ontology in the area of adverse events. The Vaccine Ontology (VO) represents various vaccines, vaccine components, and vaccinations. Both OAE and VO are OBO Foundry candidate ontologies and are developed by following the OBO Foundry principles. To better represent various VAEs and support vaccine safety study, we developed the Ontology of Vaccine Adverse Events (OVAE) as an extension of the biomedical ontologies OAE and VO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Adverse Reaction","Vaccine"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2199,"pubmed_id":24279920,"title":"The Ontology of Vaccine Adverse Events (OVAE) and its usage in representing and analyzing adverse events associated with US-licensed human vaccines.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-40","authors":"Marcos E,Zhao B,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-40","created_at":"2021-09-30T08:26:27.848Z","updated_at":"2021-09-30T08:26:27.848Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":705,"relation":"undefined"}],"grants":[{"id":7042,"fairsharing_record_id":1240,"organisation_id":2512,"relation":"maintains","created_at":"2021-09-30T09:28:23.839Z","updated_at":"2021-09-30T09:28:23.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":2512,"name":"School of Information, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7043,"fairsharing_record_id":1240,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:23.878Z","updated_at":"2021-09-30T09:28:23.878Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7044,"fairsharing_record_id":1240,"organisation_id":558,"relation":"maintains","created_at":"2021-09-30T09:28:23.918Z","updated_at":"2021-09-30T09:28:23.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":558,"name":"College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1241","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:09.874Z","metadata":{"doi":"10.25504/FAIRsharing.wwy1ns","name":"Physico-chemical methods and properties","status":"deprecated","contacts":[{"contact_name":"Janna Hastings","contact_email":"hastings@ebi.ac.uk"}],"homepage":"http://purl.bioontology.org/ontology/FIX","identifier":1241,"description":"FIX consists of two ontologies: methods and properties (but not objects, which are subject of the chemical ontology). The methods are applied to study the properties. While this ontology is available via BioPortal and the OBO Foundry, we cannot find a home page or a publication for the resource, and the resource itself is no longer maintained.","abbreviation":"FIX","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FIX","name":"FIX","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fix.html","name":"fix","portal":"OBO Foundry"}],"deprecation_date":"2017-11-22","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000041","bsg-s000041"],"name":"FAIRsharing record for: Physico-chemical methods and properties","abbreviation":"FIX","url":"https://fairsharing.org/10.25504/FAIRsharing.wwy1ns","doi":"10.25504/FAIRsharing.wwy1ns","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FIX consists of two ontologies: methods and properties (but not objects, which are subject of the chemical ontology). The methods are applied to study the properties. While this ontology is available via BioPortal and the OBO Foundry, we cannot find a home page or a publication for the resource, and the resource itself is no longer maintained.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry"],"domains":["Experimental measurement","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7045,"fairsharing_record_id":1241,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:23.952Z","updated_at":"2021-09-30T09:28:23.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1242","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2023-03-13T13:26:44.684Z","metadata":{"doi":"10.25504/FAIRsharing.5yn03x","name":"Dataset processing","status":"ready","contacts":[{"contact_name":"Bernard Gibaud","contact_email":"bernard.gibaud@univ-rennes1.fr"}],"homepage":"http://neurolog.unice.fr/ontoneurolog/v3.0/Documentation_OntoNeuroLOGv3.pdf","citations":[],"identifier":1242,"description":"This ontology is a module of the OntoNeuroLOG ontology, developed in the context of the NeuroLOG project, a french project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeous resources in neuroimaging. If covers the domain of Datasets and the processing of datasets. It includes a detailed taxonomy of datasets in the area of neuroimaging (and especially MR imaging) as well as a taxonomy of medical image processing.","abbreviation":"ONL-DP","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONL-DP","name":"ONL-DP","portal":"BioPortal"}]},"legacy_ids":["bsg-001001","bsg-s001001"],"name":"FAIRsharing record for: Dataset processing","abbreviation":"ONL-DP","url":"https://fairsharing.org/10.25504/FAIRsharing.5yn03x","doi":"10.25504/FAIRsharing.5yn03x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology is a module of the OntoNeuroLOG ontology, developed in the context of the NeuroLOG project, a french project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeous resources in neuroimaging. If covers the domain of Datasets and the processing of datasets. It includes a detailed taxonomy of datasets in the area of neuroimaging (and especially MR imaging) as well as a taxonomy of medical image processing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurology"],"domains":["Bioimaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1229","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-10T20:26:51.060Z","metadata":{"doi":"10.25504/FAIRsharing.4ndncv","name":"PRotein Ontology","status":"ready","contacts":[{"contact_name":"Darren Natale","contact_email":"dan5@georgetown.edu","contact_orcid":"0000-0001-5809-9523"}],"homepage":"https://proconsortium.org/","citations":[{"doi":"10.1093/nar/gkw1075","pubmed_id":27899649,"publication_id":2015}],"identifier":1229,"description":"Protein Ontology (PRO) provides an ontological representation of protein-related entities by explicitly defining them and showing the relationships between them. Each PRO term represents a distinct class of entities (including specific modified forms, orthologous isoforms, and protein complexes) ranging from the taxon-neutral to the taxon-specific. The ontology has a meta-structure encompassing three areas: proteins based on evolutionary relatedness (ProEvo); protein forms produced from a given gene locus (ProForm); and protein-containing complexes (ProComp).","abbreviation":"PRO","support_links":[{"url":"http://purl.obolibrary.org/obo/pr/tracker","name":"Term Request/Issue Tracker","type":"Forum"},{"url":"http://purl.obolibrary.org/obo/pr/docs","name":"Protein Ontology Documentation","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PR","name":"PR","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pr.html","name":"pr","portal":"OBO Foundry"},{"url":"http://agroportal.lirmm.fr/ontologies/PR","name":"PR","portal":"AgroPortal"}]},"legacy_ids":["bsg-000139","bsg-s000139"],"name":"FAIRsharing record for: PRotein Ontology","abbreviation":"PRO","url":"https://fairsharing.org/10.25504/FAIRsharing.4ndncv","doi":"10.25504/FAIRsharing.4ndncv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Protein Ontology (PRO) provides an ontological representation of protein-related entities by explicitly defining them and showing the relationships between them. Each PRO term represents a distinct class of entities (including specific modified forms, orthologous isoforms, and protein complexes) ranging from the taxon-neutral to the taxon-specific. The ontology has a meta-structure encompassing three areas: proteins based on evolutionary relatedness (ProEvo); protein forms produced from a given gene locus (ProForm); and protein-containing complexes (ProComp).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18259},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10887},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12084},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12227}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Annotation","PTM site prediction","Protein acetylation","Phosphorylation","Methylation","Protein-containing complex","Glycosylation","Data model","Protein","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1118,"pubmed_id":24270789,"title":"Protein Ontology: a controlled structured network of protein entities.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1173","authors":"Natale DA,Arighi CN,Blake JA,Bult CJ,Christie KR,Cowart J,D'Eustachio P,Diehl AD,Drabkin HJ,Helfer O,Huang H,Masci AM,Ren J,Roberts NV,Ross K,Ruttenberg A,Shamovsky V,Smith B,Yerramalla MS,Zhang J,AlJanahi A,Celen I,Gan C,Lv M,Schuster-Lezell E,Wu CH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1173","created_at":"2021-09-30T08:24:23.863Z","updated_at":"2021-09-30T11:28:59.261Z"},{"id":1133,"pubmed_id":20935045,"title":"The Protein Ontology: a structured representation of protein forms and complexes.","year":2010,"url":"http://doi.org/10.1093/nar/gkq907","authors":"Natale DA,Arighi CN,Barker WC,Blake JA,Bult CJ,Caudy M,Drabkin HJ,D'Eustachio P,Evsikov AV,Huang H,Nchoutmboube J,Roberts NV,Smith B,Zhang J,Wu CH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq907","created_at":"2021-09-30T08:24:25.715Z","updated_at":"2021-09-30T11:29:00.026Z"},{"id":1186,"pubmed_id":18047702,"title":"Framework for a protein ontology.","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-S9-S1","authors":"Natale DA,Arighi CN,Barker WC,Blake J,Chang TC,Hu Z,Liu H,Smith B,Wu CH","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-S9-S1","created_at":"2021-09-30T08:24:31.883Z","updated_at":"2021-09-30T08:24:31.883Z"},{"id":1207,"pubmed_id":21929785,"title":"The representation of protein complexes in the Protein Ontology (PRO).","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-371","authors":"Bult CJ,Drabkin HJ,Evsikov A,Natale D,Arighi C,Roberts N,Ruttenberg A,D'Eustachio P,Smith B,Blake JA,Wu C","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-371","created_at":"2021-09-30T08:24:34.533Z","updated_at":"2021-09-30T08:24:34.533Z"},{"id":2015,"pubmed_id":27899649,"title":"Protein Ontology (PRO): enhancing and scaling up the representation of protein entities.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1075","authors":"Natale DA,Arighi CN,Blake JA,Bona J,Chen C,Chen SC,Christie KR,Cowart J,D'Eustachio P,Diehl AD,Drabkin HJ,Duncan WD,Huang H,Ren J,Ross K,Ruttenberg A,Shamovsky V,Smith B,Wang Q,Zhang J,El-Sayed A,Wu CH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1075","created_at":"2021-09-30T08:26:07.011Z","updated_at":"2021-09-30T11:29:25.744Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1746,"relation":"undefined"}],"grants":[{"id":7027,"fairsharing_record_id":1229,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:28:23.322Z","updated_at":"2021-09-30T09:30:57.725Z","grant_id":954,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1TR001412","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7028,"fairsharing_record_id":1229,"organisation_id":2361,"relation":"maintains","created_at":"2021-09-30T09:28:23.364Z","updated_at":"2021-09-30T09:28:23.364Z","grant_id":null,"is_lead":true,"saved_state":{"id":2361,"name":"PRO Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7030,"fairsharing_record_id":1229,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:23.440Z","updated_at":"2021-09-30T09:29:44.802Z","grant_id":383,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062520","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7029,"fairsharing_record_id":1229,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:23.401Z","updated_at":"2021-09-30T09:31:28.160Z","grant_id":1182,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201200028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7031,"fairsharing_record_id":1229,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:23.466Z","updated_at":"2021-09-30T09:29:29.391Z","grant_id":268,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01GM080646","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWTA9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7796769110d5d35906d68221bdd275782255a676/PROlogofinal300.png?disposition=inline","exhaustive_licences":false}},{"id":"1230","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:19.327Z","metadata":{"doi":"10.25504/FAIRsharing.3e0sn4","name":"Gene Expression Ontology","status":"ready","contacts":[{"contact_name":"Martin Kuiper","contact_email":"kuiper@bio.ntnu.no","contact_orcid":"0000-0002-1171-9876"}],"homepage":"https://www.biogateway.eu/tools/#GeXKB","identifier":1230,"description":"An application ontology for the domain of gene expression. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","abbreviation":"GeXO","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GEXO","name":"GEXO","portal":"BioPortal"}]},"legacy_ids":["bsg-002833","bsg-s002833"],"name":"FAIRsharing record for: Gene Expression Ontology","abbreviation":"GeXO","url":"https://fairsharing.org/10.25504/FAIRsharing.3e0sn4","doi":"10.25504/FAIRsharing.3e0sn4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application ontology for the domain of gene expression. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, and orthology relations using ontological properties from RO and ISO.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12489}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Gene expression"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":972,"pubmed_id":25490885,"title":"Finding gene regulatory network candidates using the gene expression knowledge base.","year":2014,"url":"http://doi.org/10.1186/s12859-014-0386-y","authors":"Venkatesan A,Tripathi S,Sanz de Galdeano A,Blonde W,Laegreid A,Mironov V,Kuiper M","journal":"BMC Bioinformatics","doi":"10.1186/s12859-014-0386-y","created_at":"2021-09-30T08:24:07.541Z","updated_at":"2021-09-30T08:24:07.541Z"}],"licence_links":[],"grants":[{"id":7032,"fairsharing_record_id":1230,"organisation_id":2185,"relation":"funds","created_at":"2021-09-30T09:28:23.495Z","updated_at":"2021-09-30T09:28:23.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2185,"name":"Norwegian Cancer Society","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1243","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-02T16:12:00.689Z","metadata":{"doi":"10.25504/FAIRsharing.dp0jvd","name":"Biological Expression Language","status":"ready","contacts":[{"contact_name":"William Hayes (BEL.bio)","contact_email":"support@bel.bio","contact_orcid":"0000-0003-0728-781X"},{"contact_name":" Charles Tapley Hoyt (PyBEL)","contact_email":"cthoyt@gmail.com","contact_orcid":"0000-0003-4423-4370"}],"homepage":"https://bel.bio","citations":[],"identifier":1243,"description":"BEL is a language for representing scientific findings in the life sciences in a reusable, shareable, and computable form. BEL is designed to represent scientific findings by capturing causal and correlative relationships in context, where context can include information about the biological and experimental system in which the relationships were observed, the supporting publications cited and the process of curation. BEL is intended as a knowledge capture and interchange medium, supporting the operation of systems that integrate knowledge derived from independent efforts. The language is designed to be use-neutral, facilitating the storage and use of structured knowledge for inference by applications through a knowledge assembly process that can create computable biological networks. While BEL does not prescribe any particular assembly process or any particular knowledge format for the output of an assembly process, a suite of software components called the BEL Framework provides everything necessary to create, compile, assemble, and deliver computable knowledge models to BEL-aware applications. The current version of BEL provides the means to describe biological interactions qualitatively but not to quantify the magnitude or rate of these interactions. This limitation is by design because this quantitative information has significant variability and is not consistently reported in the literature. It is our hope that future versions of BEL can accommodate these additional data.","abbreviation":"BEL","support_links":[{"url":"support@bel.bio","name":"BEL.bio Support mailbox","type":"Support email"},{"url":"https://language.bel.bio/","name":"BEL Specifications Documentation","type":"Help documentation"},{"url":"https://github.com/belbio","name":"BEL.bio on GitHub","type":"Github"},{"url":"https://bel.bio/resources/","name":"Resource Links","type":"Help documentation"},{"url":"https://bel.bio/faq/","name":"BEL FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bel-api.readthedocs.io/en/latest/glossary.html","name":"BEL Glossary","type":"Help documentation"},{"url":"https://biological-expression-language.github.io/","name":"PyBEL Biological Expression Language ","type":"Other"}],"year_creation":2003,"associated_tools":[{"url":"https://github.com/pybel/pybel","name":"PyBEL Python Library Package"},{"url":"https://github.com/bio2bel/bio2bel","name":"Bio2BEL"},{"url":"https://indra.readthedocs.io/en/latest/modules/sources/bel/index.html","name":"INDRA"},{"url":"https://marketplace.visualstudio.com/items?itemName=belbio.belnanopub","name":"BEL Nanopubs Editor Visual Studio"}],"cross_references":[{"url":"https://bioregistry.io/registry/bel","name":"bel","portal":"Other"},{"url":"https://bio.tools/PyBEL","name":"biotools:pybel","portal":"Other"}]},"legacy_ids":["bsg-000572","bsg-s000572"],"name":"FAIRsharing record for: Biological Expression Language","abbreviation":"BEL","url":"https://fairsharing.org/10.25504/FAIRsharing.dp0jvd","doi":"10.25504/FAIRsharing.dp0jvd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BEL is a language for representing scientific findings in the life sciences in a reusable, shareable, and computable form. BEL is designed to represent scientific findings by capturing causal and correlative relationships in context, where context can include information about the biological and experimental system in which the relationships were observed, the supporting publications cited and the process of curation. BEL is intended as a knowledge capture and interchange medium, supporting the operation of systems that integrate knowledge derived from independent efforts. The language is designed to be use-neutral, facilitating the storage and use of structured knowledge for inference by applications through a knowledge assembly process that can create computable biological networks. While BEL does not prescribe any particular assembly process or any particular knowledge format for the output of an assembly process, a suite of software components called the BEL Framework provides everything necessary to create, compile, assemble, and deliver computable knowledge models to BEL-aware applications. The current version of BEL provides the means to describe biological interactions qualitatively but not to quantify the magnitude or rate of these interactions. This limitation is by design because this quantitative information has significant variability and is not consistently reported in the literature. It is our hope that future versions of BEL can accommodate these additional data.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11033},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16943}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Biology"],"domains":["Data model","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3743,"pubmed_id":29048466,"title":"PyBEL: a computational framework for Biological Expression Language","year":2017,"url":"http://dx.doi.org/10.1093/bioinformatics/btx660","authors":"Hoyt, Charles Tapley; Konotopez, Andrej; Ebeling, Christian; ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btx660","created_at":"2022-12-20T19:20:20.757Z","updated_at":"2022-12-20T19:56:34.844Z"},{"id":3744,"pubmed_id":null,"title":"Recent advances in modeling languages for pathway maps and computable biological networks","year":2014,"url":"http://dx.doi.org/10.1016/j.drudis.2013.12.011","authors":"Slater, Ted; ","journal":"Drug Discovery Today","doi":"10.1016/j.drudis.2013.12.011","created_at":"2022-12-20T19:20:28.746Z","updated_at":"2022-12-20T19:20:28.746Z"},{"id":3745,"pubmed_id":null,"title":"PyBEL (v0.15.5)","year":2022,"url":"https://doi.org/10.5281/zenodo.596920","authors":"Charles Tapley Hoyt, Andrej Konotopez, Scott Colby, Daniel Domingo-Fernández, ChristianEbeling, Benjamin M. Gyori, Aman Choudhri, Jeremy Zucker, Nicola Soranzo, Steffen Möller, \u0026 tehw0lf","journal":"Zenodo","doi":"","created_at":"2022-12-20T19:46:31.875Z","updated_at":"2022-12-20T19:46:31.875Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":787,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":785,"relation":"undefined"}],"grants":[{"id":7046,"fairsharing_record_id":1243,"organisation_id":1296,"relation":"funds","created_at":"2021-09-30T09:28:23.988Z","updated_at":"2021-09-30T09:28:23.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":1296,"name":"I2b2 Transmart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7047,"fairsharing_record_id":1243,"organisation_id":226,"relation":"funds","created_at":"2021-09-30T09:28:24.030Z","updated_at":"2021-09-30T09:28:24.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":226,"name":"BioDati, Inc","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7048,"fairsharing_record_id":1243,"organisation_id":196,"relation":"maintains","created_at":"2021-09-30T09:28:24.069Z","updated_at":"2021-09-30T09:28:24.069Z","grant_id":null,"is_lead":true,"saved_state":{"id":196,"name":"BEL.bio","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":7049,"fairsharing_record_id":1243,"organisation_id":2319,"relation":"funds","created_at":"2021-09-30T09:28:24.106Z","updated_at":"2021-09-30T09:28:24.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2319,"name":"Philip morris international inc","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1244","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:46.185Z","metadata":{"doi":"10.25504/FAIRsharing.dmhjcg","name":"Quality Control Markup Language","status":"in_development","contacts":[{"contact_name":"Lennart Martens","contact_email":"lennart.martens@vib-ugent.be","contact_orcid":"0000-0003-4277-658X"}],"homepage":"http://www.psidev.info/groups/quality-control","identifier":1244,"description":"An XML format for quality-related data of mass spectrometry and other high-throughput experiments. Quality control is increasingly recognized as a crucial aspect of mass spectrometry based proteomics. Several recent papers discuss relevant parameters for quality control and present applications to extract these from the instrumental raw data. What has been missing, however, is a standard data exchange format for reporting these performance metrics. We therefore developed the qcML format, an XML-based standard that follows the design principles of the related mzML, mzIdentML, mzQuantML, and TraML standards from the HUPO-PSI (Proteomics Standards Initiative). In addition to the XML format, we also provide tools for the calculation of a wide range of quality metrics as well as a database format and interconversion tools, so that existing LIMS systems can easily add relational storage of the quality control data to their existing schema. We here describe the qcML specification, along with possible use cases and an illustrative example of the subsequent analysis possibilities.","abbreviation":"QCML","support_links":[{"url":"https://github.com/HUPO-PSI/qcML-development","type":"Github"}],"year_creation":2011},"legacy_ids":["bsg-000570","bsg-s000570"],"name":"FAIRsharing record for: Quality Control Markup Language","abbreviation":"QCML","url":"https://fairsharing.org/10.25504/FAIRsharing.dmhjcg","doi":"10.25504/FAIRsharing.dmhjcg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An XML format for quality-related data of mass spectrometry and other high-throughput experiments. Quality control is increasingly recognized as a crucial aspect of mass spectrometry based proteomics. Several recent papers discuss relevant parameters for quality control and present applications to extract these from the instrumental raw data. What has been missing, however, is a standard data exchange format for reporting these performance metrics. We therefore developed the qcML format, an XML-based standard that follows the design principles of the related mzML, mzIdentML, mzQuantML, and TraML standards from the HUPO-PSI (Proteomics Standards Initiative). In addition to the XML format, we also provide tools for the calculation of a wide range of quality metrics as well as a database format and interconversion tools, so that existing LIMS systems can easily add relational storage of the quality control data to their existing schema. We here describe the qcML specification, along with possible use cases and an illustrative example of the subsequent analysis possibilities.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11440},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12047}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science","Metabolomics"],"domains":["Quality control","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":2292,"pubmed_id":24760958,"title":"qcML: an exchange format for quality control metrics from mass spectrometry experiments.","year":2014,"url":"http://doi.org/10.1074/mcp.M113.035907","authors":"Walzer M, Pernas LE, Nasso S, Bittremieux W, Nahnsen S, Kelchtermans P, Pichler P, van den Toorn HW, Staes A, Vandenbussche J, Mazanek M, Taus T, Scheltema RA, Kelstrup CD, Gatto L, van Breukelen B, Aiche S, Valkenborg D, Laukens K, Lilley KS, Olsen JV, Heck AJ, Mechtler K, Aebersold R, Gevaert K, Vizcaíno JA, Hermjakob H, Kohlbacher O, Martens L.","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.M113.035907","created_at":"2021-09-30T08:26:39.565Z","updated_at":"2021-09-30T08:26:39.565Z"}],"licence_links":[],"grants":[{"id":7051,"fairsharing_record_id":1244,"organisation_id":2500,"relation":"funds","created_at":"2021-09-30T09:28:24.198Z","updated_at":"2021-09-30T09:31:22.934Z","grant_id":1144,"is_lead":false,"saved_state":{"id":2500,"name":"SBO","grant":"120025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7053,"fairsharing_record_id":1244,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:28:24.281Z","updated_at":"2021-09-30T09:31:45.084Z","grant_id":1310,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"WT085949MA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8306,"fairsharing_record_id":1244,"organisation_id":2991,"relation":"funds","created_at":"2021-09-30T09:32:00.665Z","updated_at":"2021-09-30T09:32:00.699Z","grant_id":1427,"is_lead":false,"saved_state":{"id":2991,"name":"Universiteit Utrecht, Netherlands","grant":"260558","types":["University"],"is_lead":false,"relation":"funds"}},{"id":7050,"fairsharing_record_id":1244,"organisation_id":1291,"relation":"maintains","created_at":"2021-09-30T09:28:24.156Z","updated_at":"2021-09-30T09:28:24.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":1291,"name":"HUPO-PSI initiative; Quality Control working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7052,"fairsharing_record_id":1244,"organisation_id":2991,"relation":"funds","created_at":"2021-09-30T09:28:24.238Z","updated_at":"2021-09-30T09:29:45.335Z","grant_id":387,"is_lead":false,"saved_state":{"id":2991,"name":"Universiteit Utrecht, Netherlands","grant":"262067","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1232","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T14:16:03.000Z","updated_at":"2023-10-03T09:54:08.220Z","metadata":{"doi":"10.25504/FAIRsharing.IjUe3j","name":"Minimum Information about Peptide Array Experiment","status":"ready","contacts":[{"contact_name":"Dr. Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"https://doi.org/10.14806/ej.18.1.250","citations":[],"identifier":1232,"description":"Peptide-array screening is currently a well-established high-throughput technique with a growing numbers of application. Peptide-array technology is used for protein recognition, quantification of peptide expression levels, and detection of protein-protein interactions. The use of protein/pep- tide arrays in medical life science studies is becoming increasingly widespread. Their increased use in diagnostic applications and protein function profiling calls for a standardised set of guide- lines to be followed by future experimenters to enable reproducible, high-quality data and ac- curate findings. We aim to provide preliminary guidelines describing the Minimum Information About a Peptide- Array Experiment (MIAPepAE). We propose a checklist of data and meta-data that should accom- pany a peptide-array experiment, and invite fellow researchers in the field to collaborate in this effort to create a sustainable and coherent set of guidelines for the benefit of the protein/peptide- array research community. Although this article focuses on spotting peptide arrays, MIAPepAE is intended to be a work-in-progress to be adopted for other peptide-array types, such as in situ synthesised peptide arrays.","abbreviation":"MIAPepAE","support_links":[{"url":"http://www.ktp.cpgr.org.za","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000629","bsg-s000629"],"name":"FAIRsharing record for: Minimum Information about Peptide Array Experiment","abbreviation":"MIAPepAE","url":"https://fairsharing.org/10.25504/FAIRsharing.IjUe3j","doi":"10.25504/FAIRsharing.IjUe3j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Peptide-array screening is currently a well-established high-throughput technique with a growing numbers of application. Peptide-array technology is used for protein recognition, quantification of peptide expression levels, and detection of protein-protein interactions. The use of protein/pep- tide arrays in medical life science studies is becoming increasingly widespread. Their increased use in diagnostic applications and protein function profiling calls for a standardised set of guide- lines to be followed by future experimenters to enable reproducible, high-quality data and ac- curate findings. We aim to provide preliminary guidelines describing the Minimum Information About a Peptide- Array Experiment (MIAPepAE). We propose a checklist of data and meta-data that should accom- pany a peptide-array experiment, and invite fellow researchers in the field to collaborate in this effort to create a sustainable and coherent set of guidelines for the benefit of the protein/peptide- array research community. Although this article focuses on spotting peptide arrays, MIAPepAE is intended to be a work-in-progress to be adopted for other peptide-array types, such as in situ synthesised peptide arrays.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17619},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17620},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12077}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Peptide","Accuracy","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":871,"pubmed_id":null,"title":"Minimum Information About a Peptide Array Experiment (MIAPepAE)","year":2012,"url":"http://doi.org/10.14806/ej.18.1.250","authors":"Judit Kumuthini, Gordon Botha","journal":"EMBNET Journal","doi":"10.14806/ej.18.1.250","created_at":"2021-09-30T08:23:56.213Z","updated_at":"2021-09-30T08:23:56.213Z"}],"licence_links":[],"grants":[{"id":10968,"fairsharing_record_id":1232,"organisation_id":468,"relation":"maintains","created_at":"2023-10-03T09:17:55.038Z","updated_at":"2023-10-03T09:17:55.038Z","grant_id":null,"is_lead":true,"saved_state":{"id":468,"name":"Centre for Proteomic and Genomic Research","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1233","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.872Z","metadata":{"doi":"10.25504/FAIRsharing.rrms81","name":"Terminology of Anatomy of Human Embryology","status":"deprecated","contacts":[{"contact_name":"Pierre Sprumont","contact_email":"pierre.sprumont@unifr.ch"}],"homepage":"http://bioportal.bioontology.org/ontologies/1536","identifier":1233,"description":"\"Terminology of Anatomy of Human Embryology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1536. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Embryology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"TAHE","deprecation_date":"2016-05-26","deprecation_reason":"This standard is marked as deprecated on the OBO Foundry page - http://obofoundry.org/ontology/tahe.html. No information is given as to an alternative resource."},"legacy_ids":["bsg-002690","bsg-s002690"],"name":"FAIRsharing record for: Terminology of Anatomy of Human Embryology","abbreviation":"TAHE","url":"https://fairsharing.org/10.25504/FAIRsharing.rrms81","doi":"10.25504/FAIRsharing.rrms81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Terminology of Anatomy of Human Embryology\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://bioportal.bioontology.org/ontologies/1536. This text was generated automatically. If you work on the project responsible for \"Terminology of Anatomy of Human Embryology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Embryology","Life Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[],"grants":[{"id":7034,"fairsharing_record_id":1233,"organisation_id":3057,"relation":"undefined","created_at":"2021-09-30T09:28:23.577Z","updated_at":"2021-09-30T09:28:23.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":3057,"name":"University of Fribourg, Switzerland","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1234","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T11:38:43.000Z","updated_at":"2022-07-20T11:27:40.509Z","metadata":{"name":"Plant Phenotype Experiment Ontology","status":"in_development","contacts":[{"contact_name":"Cyril Pommier","contact_email":"cyril.pommier@inra.fr"}],"homepage":"http://purl.org/ppeo","citations":[],"identifier":1234,"description":"The Plant Phenotyping Experiment Ontology (PPEO) is an implementation of the Minimal Information About Plant Phenotyping Experiment (MIAPPE) Guidelines. It lists and organises all the information necessary to describe and reuse a phenotyping dataset following FAIR principles.","abbreviation":"PPEO","support_links":[{"url":"https://github.com/MIAPPE/MIAPPE-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2018,"cross_references":[{"url":"http://agroportal.lirmm.fr/ontologies/PPEO","name":"AgroPortal Record","portal":"AgroPortal"}]},"legacy_ids":["bsg-001443","bsg-s001443"],"name":"FAIRsharing record for: Plant Phenotype Experiment Ontology","abbreviation":"PPEO","url":"https://fairsharing.org/fairsharing_records/1234","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Phenotyping Experiment Ontology (PPEO) is an implementation of the Minimal Information About Plant Phenotyping Experiment (MIAPPE) Guidelines. It lists and organises all the information necessary to describe and reuse a phenotyping dataset following FAIR principles.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13550}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Plant Breeding"],"domains":["Phenotype"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1744,"relation":"undefined"}],"grants":[{"id":7035,"fairsharing_record_id":1234,"organisation_id":3181,"relation":"maintains","created_at":"2021-09-30T09:28:23.614Z","updated_at":"2021-09-30T09:28:23.614Z","grant_id":null,"is_lead":true,"saved_state":{"id":3181,"name":"Versailles-Grignon Research Centre, INRA, France","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8675,"fairsharing_record_id":1234,"organisation_id":3341,"relation":"associated_with","created_at":"2022-01-06T10:03:08.688Z","updated_at":"2022-01-06T10:03:08.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":3341,"name":"EMPHASIS","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1236","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T10:45:51.000Z","updated_at":"2021-11-24T13:20:12.815Z","metadata":{"doi":"10.25504/FAIRsharing.WWI10U","name":"The FAIR Principles","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es"}],"homepage":"https://www.go-fair.org/fair-principles/","identifier":1236,"description":"One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows. The term \"FAIR\" was launched at a Lorentz workshop in 2014, attended by a wide range of academic, corporate, and governmental stakeholders. The resulting draft FAIR Principles were initially made available for public comment via the websites of peer-initiatives such as, for example, Force11. Based on this feedback, the final Principles were published in 2016 (https://www.nature.com/articles/sdata201618). FAIR is a set of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable. These guidelines provide advice for those wishing to enhance the (re)usability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.","abbreviation":"FAIR","year_creation":2016},"legacy_ids":["bsg-001147","bsg-s001147"],"name":"FAIRsharing record for: The FAIR Principles","abbreviation":"FAIR","url":"https://fairsharing.org/10.25504/FAIRsharing.WWI10U","doi":"10.25504/FAIRsharing.WWI10U","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows. The term \"FAIR\" was launched at a Lorentz workshop in 2014, attended by a wide range of academic, corporate, and governmental stakeholders. The resulting draft FAIR Principles were initially made available for public comment via the websites of peer-initiatives such as, for example, Force11. Based on this feedback, the final Principles were published in 2016 (https://www.nature.com/articles/sdata201618). FAIR is a set of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable. These guidelines provide advice for those wishing to enhance the (re)usability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11315},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11885},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12235},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13897},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14567},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16100},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16883},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20180}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Subject Agnostic"],"domains":["FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Belgium","Brazil","China","Germany","Netherlands","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":1234,"pubmed_id":26978244,"title":"The FAIR Guiding Principles for scientific data management and stewardship.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.18","authors":"Wilkinson MD,Dumontier M,Aalbersberg IJ,Appleton G,Axton M,Baak A,Blomberg N,Boiten JW,da Silva Santos LB,Bourne PE,Bouwman J,Brookes AJ,Clark T,Crosas M,Dillo I,Dumon O,Edmunds S,Evelo CT,Finkers R,Gonzalez-Beltran A,Gray AJ,Groth P,Goble C,Grethe JS,Heringa J,'t Hoen PA,Hooft R,Kuhn T,Kok R,Kok J,Lusher SJ,Martone ME,Mons A,Packer AL,Persson B,Rocca-Serra P,Roos M,van Schaik R,Sansone SA,Schultes E,Sengstag T,Slater T,Strawn G,Swertz MA,Thompson M,van der Lei J,van Mulligen E,Velterop J,Waagmeester A,Wittenburg P,Wolstencroft K,Zhao J,Mons B","journal":"Sci Data","doi":"10.1038/sdata.2016.18","created_at":"2021-09-30T08:24:37.674Z","updated_at":"2021-09-30T08:24:37.674Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1237","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:01.162Z","metadata":{"doi":"10.25504/FAIRsharing.xhwrnr","name":"Cell Cycle Ontology","status":"ready","contacts":[{"contact_name":"Martin Kuiper","contact_email":"kuiper@bio.ntnu.no","contact_orcid":"0000-0002-1171-9876"}],"homepage":"https://www.biogateway.eu/tools/#CCO","identifier":1237,"description":"CCO contains genes, proteins, interactions (comprising genes or proteins that participate in them), processes from the cell cycle subtree of GO, molecular functions (GO), taxa, and ontological constructs (like an upper level ontology and relationships) to stick everything together.","abbreviation":"CCO","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CCO","name":"CCO","portal":"BioPortal"}]},"legacy_ids":["bsg-002671","bsg-s002671"],"name":"FAIRsharing record for: Cell Cycle Ontology","abbreviation":"CCO","url":"https://fairsharing.org/10.25504/FAIRsharing.xhwrnr","doi":"10.25504/FAIRsharing.xhwrnr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CCO contains genes, proteins, interactions (comprising genes or proteins that participate in them), processes from the cell cycle subtree of GO, molecular functions (GO), taxa, and ontological constructs (like an upper level ontology and relationships) to stick everything together.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10878},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12456}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Genomics","Proteomics","Life Science"],"domains":["Cell","Molecular function","Cell cycle"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":899,"pubmed_id":19480664,"title":"The Cell Cycle Ontology: an application ontology for the representation and integrated analysis of the cell cycle process.","year":2009,"url":"http://doi.org/10.1186/gb-2009-10-5-r58","authors":"Antezana E,Egana M,Blonde W,Illarramendi A,Bilbao I,De Baets B,Stevens R,Mironov V,Kuiper M","journal":"Genome Biol","doi":"10.1186/gb-2009-10-5-r58","created_at":"2021-09-30T08:23:59.329Z","updated_at":"2021-09-30T08:23:59.329Z"}],"licence_links":[],"grants":[{"id":7036,"fairsharing_record_id":1237,"organisation_id":676,"relation":"maintains","created_at":"2021-09-30T09:28:23.653Z","updated_at":"2021-09-30T09:28:23.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":676,"name":"Department of Biology, Systems Biology, Norwegian University of Science and Technology (NTNU), Alesund, Norway","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7037,"fairsharing_record_id":1237,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:28:23.683Z","updated_at":"2021-09-30T09:31:26.109Z","grant_id":1167,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LSHG-CT-2004-512143","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1245","type":"fairsharing_records","attributes":{"created_at":"2015-04-30T15:44:59.000Z","updated_at":"2024-04-29T08:20:57.633Z","metadata":{"doi":"10.25504/FAIRsharing.3nx7t","name":"Dublin Core Metadata Element Set","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"dcmi-feedback@dublincore.net"}],"homepage":"https://www.dublincore.org/specifications/dublin-core/dces/","citations":[],"identifier":1245,"description":"The Dublin Metadata Element Set, which is often called Dublin Core (DC), is a standardized metadata scheme for description of any kind of resource such as documents in electronic and non-electronic form, digital materials (such as video, sound, images, etc) and composite media like web pages. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. Please note that this version of the specification for the Dublin Core Element Set 1.1 is somewhat out of date, although it is not officially deprecated. The DCMI Metadata Terms specification is linked to this record and is the current documentation that should be used for the Dublin Core Element Set 1.1. This document, an excerpt from the more comprehensive document \"DCMI Metadata Terms\" [DCTERMS] provides an abbreviated reference version of the fifteen element descriptions that have been formally endorsed in the following standards: ISO Standard 15836:2009 of February 2009 [ISO15836], ANSI/NISO Standard Z39.85-2012 of February 2013 [NISOZ3985], and IETF RFC 5013 of August 2007 [RFC5013].","abbreviation":"DCES","year_creation":1995,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DC","name":"DC","portal":"BioPortal"}]},"legacy_ids":["bsg-000589","bsg-s000589"],"name":"FAIRsharing record for: Dublin Core Metadata Element Set","abbreviation":"DCES","url":"https://fairsharing.org/10.25504/FAIRsharing.3nx7t","doi":"10.25504/FAIRsharing.3nx7t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dublin Metadata Element Set, which is often called Dublin Core (DC), is a standardized metadata scheme for description of any kind of resource such as documents in electronic and non-electronic form, digital materials (such as video, sound, images, etc) and composite media like web pages. Dublin Core Metadata may be used for multiple purposes, from simple resource description, to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the Linked Data cloud and Semantic Web implementations. Please note that this version of the specification for the Dublin Core Element Set 1.1 is somewhat out of date, although it is not officially deprecated. The DCMI Metadata Terms specification is linked to this record and is the current documentation that should be used for the Dublin Core Element Set 1.1. This document, an excerpt from the more comprehensive document \"DCMI Metadata Terms\" [DCTERMS] provides an abbreviated reference version of the fifteen element descriptions that have been formally endorsed in the following standards: ISO Standard 15836:2009 of February 2009 [ISO15836], ANSI/NISO Standard Z39.85-2012 of February 2013 [NISOZ3985], and IETF RFC 5013 of August 2007 [RFC5013].","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18282},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11204},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13285},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13324},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13359},{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13367},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16957}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Subject Agnostic","Biomedical Science"],"domains":["Resource metadata","Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1357,"relation":"undefined"}],"grants":[{"id":7054,"fairsharing_record_id":1245,"organisation_id":122,"relation":"funds","created_at":"2021-09-30T09:28:24.318Z","updated_at":"2021-09-30T09:28:24.318Z","grant_id":null,"is_lead":false,"saved_state":{"id":122,"name":"Association for Information Science and Technology (ASIS\u0026T)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7057,"fairsharing_record_id":1245,"organisation_id":2043,"relation":"maintains","created_at":"2021-09-30T09:28:24.400Z","updated_at":"2021-09-30T09:28:24.400Z","grant_id":null,"is_lead":false,"saved_state":{"id":2043,"name":"National Library of Finland, Helsinki, Finland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7063,"fairsharing_record_id":1245,"organisation_id":1342,"relation":"maintains","created_at":"2021-09-30T09:28:24.622Z","updated_at":"2021-09-30T09:28:24.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":1342,"name":"INFOCOM Corporation, Tokyo, Japan","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7055,"fairsharing_record_id":1245,"organisation_id":3142,"relation":"maintains","created_at":"2021-09-30T09:28:24.351Z","updated_at":"2021-09-30T09:28:24.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":3142,"name":"University of Tsukuba","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7056,"fairsharing_record_id":1245,"organisation_id":2042,"relation":"maintains","created_at":"2021-09-30T09:28:24.375Z","updated_at":"2021-09-30T09:28:24.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":2042,"name":"National Library Board (NLB), Singapore, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7058,"fairsharing_record_id":1245,"organisation_id":1837,"relation":"maintains","created_at":"2021-09-30T09:28:24.430Z","updated_at":"2021-09-30T09:28:24.430Z","grant_id":null,"is_lead":false,"saved_state":{"id":1837,"name":"MIMOS Berhad, Kuala Lumpur, Malaysia","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7059,"fairsharing_record_id":1245,"organisation_id":2569,"relation":"maintains","created_at":"2021-09-30T09:28:24.472Z","updated_at":"2021-09-30T09:28:24.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":2569,"name":"SIMMONDS - School of Library and Information Science","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7060,"fairsharing_record_id":1245,"organisation_id":2966,"relation":"maintains","created_at":"2021-09-30T09:28:24.510Z","updated_at":"2021-09-30T09:28:24.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":2966,"name":"Universidade Estadual Paulista - UNESP","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7061,"fairsharing_record_id":1245,"organisation_id":2557,"relation":"maintains","created_at":"2021-09-30T09:28:24.544Z","updated_at":"2021-09-30T09:28:24.544Z","grant_id":null,"is_lead":false,"saved_state":{"id":2557,"name":"Shanghai Library, Shanghai, China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7062,"fairsharing_record_id":1245,"organisation_id":2787,"relation":"maintains","created_at":"2021-09-30T09:28:24.581Z","updated_at":"2021-09-30T09:28:24.581Z","grant_id":null,"is_lead":false,"saved_state":{"id":2787,"name":"The Information School, University of Washington, Seattle, WA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7064,"fairsharing_record_id":1245,"organisation_id":2044,"relation":"maintains","created_at":"2021-09-30T09:28:24.667Z","updated_at":"2021-09-30T09:28:24.667Z","grant_id":null,"is_lead":false,"saved_state":{"id":2044,"name":"National library of Korea, Seoul, Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1246","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:16:10.248Z","metadata":{"doi":"10.25504/FAIRsharing.3fyavr","name":"Bioinformatics Web Service Ontology","status":"uncertain","contacts":[{"contact_name":"jie zheng","contact_email":"jiezheng@pcbi.upenn.edu"}],"homepage":"https://github.com/obi-webservice/OBIws","identifier":1246,"description":"The Bioinformatics Web Services ontology (OBIws) is an ontology that extends the Ontology for Biomedical Investigations (OBI) to build an ontology that supports consistent annotation of bioinformatics Web services. We follow a systematic methodology for enriching OBI with terms to support Web service annotation. This process involves the design of ontology analysis diagrams for Web services and their subsequent analysis to discover terms that need to be added to the ontology. Current OBIws ontology is focusing on sequence analysis web services. With developed patterns of modeling web services, OBIws can be extended easily to support annotations of different kind web services.","abbreviation":"OBIws","year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBIWS","name":"OBIWS","portal":"BioPortal"}]},"legacy_ids":["bsg-002829","bsg-s002829"],"name":"FAIRsharing record for: Bioinformatics Web Service Ontology","abbreviation":"OBIws","url":"https://fairsharing.org/10.25504/FAIRsharing.3fyavr","doi":"10.25504/FAIRsharing.3fyavr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bioinformatics Web Services ontology (OBIws) is an ontology that extends the Ontology for Biomedical Investigations (OBI) to build an ontology that supports consistent annotation of bioinformatics Web services. We follow a systematic methodology for enriching OBI with terms to support Web service annotation. This process involves the design of ontology analysis diagrams for Web services and their subsequent analysis to discover terms that need to be added to the ontology. Current OBIws ontology is focusing on sequence analysis web services. With developed patterns of modeling web services, OBIws can be extended easily to support annotations of different kind web services.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Web service"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7065,"fairsharing_record_id":1246,"organisation_id":2208,"relation":"maintains","created_at":"2021-09-30T09:28:24.697Z","updated_at":"2021-09-30T09:28:24.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":2208,"name":"OBIws Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1247","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:24.000Z","updated_at":"2024-03-21T13:59:04.382Z","metadata":{"doi":"10.25504/FAIRsharing.pvfyj4","name":"LINCS Extended Metadata Standard: Other Reagents","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Other_Reagent_Metadata_2017.pdf","citations":[],"identifier":1247,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories. An example is lipopolysaccharide, a component of the outer membrane of gram-negative bacteria that triggers an immune response similar to that initiated by a bacterial infection. Information that is relevant to be reported about these reagents includes a standardized name and ID, provider information, purity, and source.","abbreviation":"LINCS 2: Other Reagents","support_links":[{"url":"https://lincsproject.org/LINCS/files/Other_Reagent_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000658","bsg-s000658"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Other Reagents","abbreviation":"LINCS 2: Other Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.pvfyj4","doi":"10.25504/FAIRsharing.pvfyj4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. This category serves to describe generic reagents that fall outside of any of the previously listed specific categories. An example is lipopolysaccharide, a component of the outer membrane of gram-negative bacteria that triggers an immune response similar to that initiated by a bacterial infection. Information that is relevant to be reported about these reagents includes a standardized name and ID, provider information, purity, and source.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11906},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12497}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Reaction data","Experimental measurement","Cellular assay","Catalytic activity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":7067,"fairsharing_record_id":1247,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:24.760Z","updated_at":"2021-09-30T09:28:24.760Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11577,"fairsharing_record_id":1247,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:04.277Z","updated_at":"2024-03-21T13:59:04.277Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1231","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-23T15:15:04.407Z","metadata":{"doi":"10.25504/FAIRsharing.956df7","name":"STAndards for the Reporting of Diagnostic accuracy","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"stard@amc.uva.nl"},{"contact_name":"Jeremie Cohen","contact_email":"jeremie.cohen@inserm.fr","contact_orcid":null},{"contact_name":"Patrick Bossuyt","contact_email":"p.m.bossuyt@amc.uva.nl","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/stard/","citations":[],"identifier":1231,"description":"The objective of the STARD initiative is to improve the accuracy and completeness of reporting of studies of diagnostic accuracy, to allow readers to assess the potential for bias in the study (internal validity) and to evaluate its generalisability (external validity). The STARD statement consists of a checklist of 25 items and recommends the use of a flow diagram which describes the design of the study and the flow of patients. Please note that all STARD-related material is now only available on the EQUATOR website.","abbreviation":"STARD","support_links":[],"year_creation":2003},"legacy_ids":["bsg-000058","bsg-s000058"],"name":"FAIRsharing record for: STAndards for the Reporting of Diagnostic accuracy","abbreviation":"STARD","url":"https://fairsharing.org/10.25504/FAIRsharing.956df7","doi":"10.25504/FAIRsharing.956df7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The objective of the STARD initiative is to improve the accuracy and completeness of reporting of studies of diagnostic accuracy, to allow readers to assess the potential for bias in the study (internal validity) and to evaluate its generalisability (external validity). The STARD statement consists of a checklist of 25 items and recommends the use of a flow diagram which describes the design of the study and the flow of patients. Please note that all STARD-related material is now only available on the EQUATOR website.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11940},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12404},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16932}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Accuracy","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Canada","France","Netherlands","United Kingdom","United States"],"publications":[{"id":1938,"pubmed_id":12507953,"title":"Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Standards for Reporting of Diagnostic Accuracy.","year":2003,"url":"http://doi.org/10.1373/49.1.1","authors":"Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, Lijmer JG, Moher D, Rennie D, de Vet HC","journal":"Clin. Chem.","doi":"10.1373/49.1.1","created_at":"2021-09-30T08:25:58.122Z","updated_at":"2021-09-30T08:25:58.122Z"},{"id":1939,"pubmed_id":26511519,"title":"STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies.","year":2015,"url":"http://doi.org/10.1136/bmj.h5527","authors":"Bossuyt PM,Reitsma JB,Bruns DE,Gatsonis CA,Glasziou PP,Irwig L,Lijmer JG,Moher D,Rennie D,de Vet HC,Kressel HY,Rifai N,Golub RM,Altman DG,Hooft L,Korevaar DA,Cohen JF","journal":"BMJ","doi":"10.1136/bmj.h5527","created_at":"2021-09-30T08:25:58.232Z","updated_at":"2021-09-30T08:25:58.232Z"},{"id":4146,"pubmed_id":null,"title":"STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies","year":2015,"url":"http://dx.doi.org/10.1373/clinchem.2015.246280","authors":"Bossuyt, Patrick M; Reitsma, Johannes B; Bruns, David E; Gatsonis, Constantine A; Glasziou, Paul P; Irwig, Les; Lijmer, Jeroen G; Moher, David; Rennie, Drummond; de Vet, Henrica C W; Kressel, Herbert Y; Rifai, Nader; Golub, Robert M; Altman, Douglas G; Hooft, Lotty; Korevaar, Daniël A; Cohen, Jérémie F; ","journal":"Clinical Chemistry","doi":"10.1373/clinchem.2015.246280","created_at":"2024-02-20T09:57:51.644Z","updated_at":"2024-02-20T09:57:51.644Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3408,"relation":"applies_to_content"}],"grants":[{"id":11375,"fairsharing_record_id":1231,"organisation_id":2991,"relation":"collaborates_on","created_at":"2024-02-20T10:06:08.890Z","updated_at":"2024-02-20T10:06:08.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":2991,"name":"Universiteit Utrecht, Netherlands","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11377,"fairsharing_record_id":1231,"organisation_id":4273,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.288Z","updated_at":"2024-02-20T10:06:09.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":4273,"name":"Brown University","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11378,"fairsharing_record_id":1231,"organisation_id":4274,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.395Z","updated_at":"2024-02-20T10:06:09.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":4274,"name":"Bond University","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11379,"fairsharing_record_id":1231,"organisation_id":3130,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.656Z","updated_at":"2024-02-20T10:06:09.656Z","grant_id":null,"is_lead":false,"saved_state":{"id":3130,"name":"University of Sydney, Australia","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11380,"fairsharing_record_id":1231,"organisation_id":4275,"relation":"collaborates_on","created_at":"2024-02-20T10:06:09.793Z","updated_at":"2024-02-20T10:06:09.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":4275,"name":"Onze Lieve Vrouwe Gasthuis","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":11383,"fairsharing_record_id":1231,"organisation_id":3112,"relation":"collaborates_on","created_at":"2024-02-20T10:10:38.734Z","updated_at":"2024-02-20T10:10:38.734Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11381,"fairsharing_record_id":1231,"organisation_id":2280,"relation":"collaborates_on","created_at":"2024-02-20T10:06:10.005Z","updated_at":"2024-02-20T10:06:10.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":11382,"fairsharing_record_id":1231,"organisation_id":3035,"relation":"collaborates_on","created_at":"2024-02-20T10:10:38.732Z","updated_at":"2024-02-20T10:10:38.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":3035,"name":"University of California San Francisco","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11386,"fairsharing_record_id":1231,"organisation_id":207,"relation":"collaborates_on","created_at":"2024-02-20T10:10:39.145Z","updated_at":"2024-02-20T10:10:39.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":207,"name":"Beth Israel Deaconess Medical Center, Boston, USA","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":11384,"fairsharing_record_id":1231,"organisation_id":2184,"relation":"collaborates_on","created_at":"2024-02-20T10:10:38.834Z","updated_at":"2024-02-20T10:10:38.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11385,"fairsharing_record_id":1231,"organisation_id":300,"relation":"collaborates_on","created_at":"2024-02-20T10:10:39.058Z","updated_at":"2024-02-20T10:10:39.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":300,"name":"Boston Children's Hospital, MA, USA","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":11374,"fairsharing_record_id":1231,"organisation_id":3012,"relation":"maintains","created_at":"2024-02-20T10:06:08.529Z","updated_at":"2024-04-23T12:42:39.305Z","grant_id":null,"is_lead":true,"saved_state":{"id":3012,"name":"University of Amsterdam, Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11376,"fairsharing_record_id":1231,"organisation_id":3147,"relation":"collaborates_on","created_at":"2024-02-20T10:06:08.969Z","updated_at":"2024-02-20T10:06:08.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":3147,"name":"University of Virginia","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11387,"fairsharing_record_id":1231,"organisation_id":3197,"relation":"collaborates_on","created_at":"2024-02-20T10:10:39.283Z","updated_at":"2024-02-20T10:10:39.283Z","grant_id":null,"is_lead":false,"saved_state":{"id":3197,"name":"Vrije Universiteit Amsterdam, The Netherlands","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11736,"fairsharing_record_id":1231,"organisation_id":3458,"relation":"maintains","created_at":"2024-04-23T12:42:38.782Z","updated_at":"2024-04-23T12:42:38.782Z","grant_id":null,"is_lead":true,"saved_state":{"id":3458,"name":"Université Paris Cité","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11737,"fairsharing_record_id":1231,"organisation_id":4273,"relation":"maintains","created_at":"2024-04-23T12:42:38.789Z","updated_at":"2024-04-23T12:42:38.789Z","grant_id":null,"is_lead":true,"saved_state":{"id":4273,"name":"Brown University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1248","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-27T15:43:45.007Z","metadata":{"doi":"10.25504/FAIRsharing.wcpd6f","name":"Basic Formal Ontology","status":"ready","contacts":[{"contact_name":"Barry Smith","contact_email":"phismith@buffalo.edu"}],"homepage":"https://www.iso.org/standard/74572.html","citations":[],"identifier":1248,"description":"The Basic Formal Ontology (BFO, also known via its ISO label as 'ISO/IEC 21838-2:2021 Information technology — Top-level ontologies (TLO) — Part 2: Basic Formal Ontology (BFO)') is an ontology that is conformant to the requirements specified for top-level ontologies in ISO/IEC 21838‑1. BFO is a small, upper level ontology that is designed for use in supporting information retrieval, analysis and integration in scientific and other domains. BFO is a genuine upper ontology. Thus it does not contain physical, chemical, biological or other terms which would properly fall within the coverage domains of the special sciences. BFO is used by more than 250 ontology-driven endeavors throughout the world. ","abbreviation":"BFO","support_links":[{"url":"https://github.com/bfo-ontology/BFO/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://buffalo.app.box.com/s/u4r7ji8hhnejso7u1aufh3mkeludwngu","name":"Tutorials","type":"Help documentation"},{"url":"https://github.com/bfo-ontology/BFO","name":"GitHub Repository","type":"Github"},{"url":"https://www.youtube.com/channel/UC8rDbmRGP6A2bs6tn0AOErQ","name":"BFO YouTube Channel","type":"Video"},{"url":"http://youtu.be/Yl6_M1sQEAQ","name":"Video Introduction to BFO","type":"Training documentation"},{"url":"http://basic-formal-ontology.org","name":"BFO 2.0 Documentation ","type":"Help documentation"},{"url":"https://groups.google.com/g/bfo-discuss","type":"Forum"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BFO","name":" BioPortal: BFO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bfo.html","name":"OBO Foundry: bfo","portal":"OBO Foundry"},{"url":"http://agroportal.lirmm.fr/ontologies/BFO","name":"Agroportal: BFO","portal":"AgroPortal"}]},"legacy_ids":["bsg-000156","bsg-s000156"],"name":"FAIRsharing record for: Basic Formal Ontology","abbreviation":"BFO","url":"https://fairsharing.org/10.25504/FAIRsharing.wcpd6f","doi":"10.25504/FAIRsharing.wcpd6f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Basic Formal Ontology (BFO, also known via its ISO label as 'ISO/IEC 21838-2:2021 Information technology — Top-level ontologies (TLO) — Part 2: Basic Formal Ontology (BFO)') is an ontology that is conformant to the requirements specified for top-level ontologies in ISO/IEC 21838‑1. BFO is a small, upper level ontology that is designed for use in supporting information retrieval, analysis and integration in scientific and other domains. BFO is a genuine upper ontology. Thus it does not contain physical, chemical, biological or other terms which would properly fall within the coverage domains of the special sciences. BFO is used by more than 250 ontology-driven endeavors throughout the world. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":["Data retrieval"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1908,"pubmed_id":null,"title":"Building Ontologies With Basic Formal Ontology","year":2015,"url":"https://mitpress.mit.edu/books/building-ontologies-basic-formal-ontology","authors":"Robert Arp, Barry Smith and Andrew Spear","journal":"(book) MIT Press","doi":null,"created_at":"2021-09-30T08:25:54.564Z","updated_at":"2021-09-30T08:25:54.564Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1752,"relation":"undefined"}],"grants":[{"id":10953,"fairsharing_record_id":1248,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:54:50.064Z","updated_at":"2023-09-27T14:54:50.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":7068,"fairsharing_record_id":1248,"organisation_id":1380,"relation":"maintains","created_at":"2021-09-30T09:28:24.788Z","updated_at":"2021-09-30T09:28:24.788Z","grant_id":null,"is_lead":true,"saved_state":{"id":1380,"name":"Institute for Formal Ontology and Medical Information Science (IFOMIS), Saarbruecken, Germany","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1287","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:31.609Z","metadata":{"doi":"10.25504/FAIRsharing.ezwdhz","name":"Phenotypic QualiTy Ontology","status":"ready","contacts":[{"contact_name":"George Gkoutos","contact_email":"g.gkoutos@gmail.com","contact_orcid":"0000-0002-2061-091X"}],"homepage":"https://github.com/pato-ontology/pato/","identifier":1287,"description":"PATO is an ontology of phenotypic qualities, intended for use in a number of applications, primarily phenotype annotation. This ontology can be used in conjunction with other ontologies such as GO or anatomical ontologies to refer to phenotypes.","abbreviation":"PATO","support_links":[{"url":"https://github.com/pato-ontology/pato/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/pato-ontology/pato/blob/master/CHANGES.md","name":"Changes with Each Release","type":"Github"}],"year_creation":2004,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PATO","name":"PATO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pato.html","name":"pato","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000134","bsg-s000134"],"name":"FAIRsharing record for: Phenotypic QualiTy Ontology","abbreviation":"PATO","url":"https://fairsharing.org/10.25504/FAIRsharing.ezwdhz","doi":"10.25504/FAIRsharing.ezwdhz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PATO is an ontology of phenotypic qualities, intended for use in a number of applications, primarily phenotype annotation. This ontology can be used in conjunction with other ontologies such as GO or anatomical ontologies to refer to phenotypes.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17570},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10871},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11960},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17987}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity","Biology"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":986,"pubmed_id":15642100,"title":"Using ontologies to describe mouse phenotypes.","year":2005,"url":"http://doi.org/10.1186/gb-2004-6-1-r8","authors":"Gkoutos GV,Green EC,Mallon AM,Hancock JM,Davidson D","journal":"Genome Biol","doi":"10.1186/gb-2004-6-1-r8","created_at":"2021-09-30T08:24:09.147Z","updated_at":"2021-09-30T08:24:09.147Z"},{"id":1185,"pubmed_id":20064205,"title":"Integrating phenotype ontologies across multiple species.","year":2010,"url":"http://doi.org/10.1186/gb-2010-11-1-r2","authors":"Mungall CJ,Gkoutos GV,Smith CL,Haendel MA,Lewis SE,Ashburner M","journal":"Genome Biol","doi":"10.1186/gb-2010-11-1-r2","created_at":"2021-09-30T08:24:31.725Z","updated_at":"2021-09-30T08:24:31.725Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1747,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1748,"relation":"undefined"}],"grants":[{"id":7140,"fairsharing_record_id":1287,"organisation_id":2295,"relation":"maintains","created_at":"2021-09-30T09:28:27.163Z","updated_at":"2021-09-30T09:28:27.163Z","grant_id":null,"is_lead":true,"saved_state":{"id":2295,"name":"PATO administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7141,"fairsharing_record_id":1287,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:27.205Z","updated_at":"2021-09-30T09:31:33.001Z","grant_id":1220,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BG/G004358/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7138,"fairsharing_record_id":1287,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:27.088Z","updated_at":"2021-09-30T09:32:06.097Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7139,"fairsharing_record_id":1287,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:27.125Z","updated_at":"2021-09-30T09:32:09.485Z","grant_id":1493,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1288","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2023-03-30T15:19:34.644Z","metadata":{"doi":"10.25504/FAIRsharing.tghhc4","name":"Pipeline Patterns Ontology","status":"ready","contacts":[{"contact_name":"PEAO Team","contact_email":"peaoteam@gmail.com"}],"homepage":"https://bitbucket.org/PlantExpAssay/ontology","citations":[],"identifier":1288,"description":"To answer the need for a workflow representing a sequence of data transformations, a high-level process ontology was defined, denoted Pipeline Patterns (PP) ontology. Every concept is generically a Data (class from EDAM), which can be further specified as an Entry (P:00002) or an Exit (P:00009). All Entries can be subjected to an Operation (class from EDAM) producing an Intermediate (P:00010). An Intermediate has a TemporalEntity associated to represent its time of creation. Some Entries are specifically of the type Exit, meaning that they will represent concepts that exit the current category and be passed to the next one on the workflow. Additionally, in order to permit the treatment of a set of objects as a single entity, this high-level ontology considers the concept of List (P:00004) and more specifically an Aggregate (P:00005), containing a set of Data or Entry, respectively. The concept Intermediate is an Entry, allowing for the successive application of an operation to an Element. This is particularly useful in the case of the application of sequential set of operations.","abbreviation":"PP","support_links":[],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PP","name":"PP","portal":"BioPortal"}]},"legacy_ids":["bsg-001043","bsg-s001043"],"name":"FAIRsharing record for: Pipeline Patterns Ontology","abbreviation":"PP","url":"https://fairsharing.org/10.25504/FAIRsharing.tghhc4","doi":"10.25504/FAIRsharing.tghhc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To answer the need for a workflow representing a sequence of data transformations, a high-level process ontology was defined, denoted Pipeline Patterns (PP) ontology. Every concept is generically a Data (class from EDAM), which can be further specified as an Entry (P:00002) or an Exit (P:00009). All Entries can be subjected to an Operation (class from EDAM) producing an Intermediate (P:00010). An Intermediate has a TemporalEntity associated to represent its time of creation. Some Entries are specifically of the type Exit, meaning that they will represent concepts that exit the current category and be passed to the next one on the workflow. Additionally, in order to permit the treatment of a set of objects as a single entity, this high-level ontology considers the concept of List (P:00004) and more specifically an Aggregate (P:00005), containing a set of Data or Entry, respectively. The concept Intermediate is an Entry, allowing for the successive application of an operation to an Element. This is particularly useful in the case of the application of sequential set of operations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Assay","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3150,"relation":"applies_to_content"}],"grants":[{"id":10471,"fairsharing_record_id":1288,"organisation_id":1447,"relation":"funds","created_at":"2023-03-30T15:18:47.062Z","updated_at":"2023-03-30T15:18:47.062Z","grant_id":1941,"is_lead":false,"saved_state":{"id":1447,"name":"Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Lisboa, Portugal","grant":"EXCL/EEI-ESS/0257/2012","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":10472,"fairsharing_record_id":1288,"organisation_id":1081,"relation":"funds","created_at":"2023-03-30T15:18:47.062Z","updated_at":"2023-03-30T15:18:47.062Z","grant_id":1505,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia","grant":"DATASTORM (Large-Scale Data Management in Cloud Environments) project ref. EXCL/EEI-ESS/0257/2012","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1289","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-17T07:52:57.227Z","metadata":{"doi":"10.25504/FAIRsharing.2ffmsb","name":"EDDA Study Designs Taxonomy","status":"deprecated","contacts":[{"contact_name":"Tanja Bekhuis","contact_email":"tcb24@pitt.edu"}],"homepage":"http://edda.dbmi.pitt.edu/","citations":[],"identifier":1289,"description":"Terminology of study designs and publication types (beta version). Developed by the Evidence in Documents, Discovery, and Analysis (EDDA) Group. Tanja Bekhuis (PI); Eugene Tseytlin (Systems Developer); Ashleigh Faith (Taxonomist). Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pennsylvania, US. This work was made possible, in part, by the US National Library of Medicine, National Institutes of Health, grant no. R00LM010943. Based on research described in Bekhuis T, Demner-Fushman D, Crowley RS. Comparative effectiveness research designs: an analysis of terms and coverage in Medical Subject Headings (MeSH) and Emtree. Journal of the Medical Library Association (JMLA). 2013 April;101(2):92-100. PMC3634392. The terminology appearing in JMLA has been enriched with terms from MeSH, NCI Thesaurus (NCIT), and Emtree, the controlled vocabularies for MEDLINE, the National Cancer Institute, and Embase, respectively, as well as from published research literature. Variants include synonyms for preferred terms, singular and plural forms, and American and British spellings. Definitions, if they exist, are mainly from MeSH, NCIT, Emtree, and medical dictionaries. A class for Publication Type is included because investigators consider type and design when screening reports for inclusion in comparative effectiveness research. EDDA Study Designs and Publications by Tanja Bekhuis is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.","abbreviation":"EDDA","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDDA","name":"EDDA","portal":"BioPortal"}],"deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000755","bsg-s000755"],"name":"FAIRsharing record for: EDDA Study Designs Taxonomy","abbreviation":"EDDA","url":"https://fairsharing.org/10.25504/FAIRsharing.2ffmsb","doi":"10.25504/FAIRsharing.2ffmsb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Terminology of study designs and publication types (beta version). Developed by the Evidence in Documents, Discovery, and Analysis (EDDA) Group. Tanja Bekhuis (PI); Eugene Tseytlin (Systems Developer); Ashleigh Faith (Taxonomist). Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pennsylvania, US. This work was made possible, in part, by the US National Library of Medicine, National Institutes of Health, grant no. R00LM010943. Based on research described in Bekhuis T, Demner-Fushman D, Crowley RS. Comparative effectiveness research designs: an analysis of terms and coverage in Medical Subject Headings (MeSH) and Emtree. Journal of the Medical Library Association (JMLA). 2013 April;101(2):92-100. PMC3634392. The terminology appearing in JMLA has been enriched with terms from MeSH, NCI Thesaurus (NCIT), and Emtree, the controlled vocabularies for MEDLINE, the National Cancer Institute, and Embase, respectively, as well as from published research literature. Variants include synonyms for preferred terms, singular and plural forms, and American and British spellings. Definitions, if they exist, are mainly from MeSH, NCIT, Emtree, and medical dictionaries. A class for Publication Type is included because investigators consider type and design when screening reports for inclusion in comparative effectiveness research. EDDA Study Designs and Publications by Tanja Bekhuis is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1290","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T09:02:29.000Z","updated_at":"2021-11-24T13:14:30.014Z","metadata":{"doi":"10.25504/FAIRsharing.yy18av","name":"Minimum Information About a Cellular Assay for Regenerative Medicine","status":"ready","contacts":[{"contact_name":"Kunie Sakurai","contact_email":"k.sakurai@cira.kyoto-u.ac.jp"}],"homepage":"http://stemcellinformatics.org/standards/minimum_info","identifier":1290,"description":"Currently, there are more than 20 human cell information storage sites around the world. However, reproducibility and data exchange among different laboratories or cell information providers are usually inadequate or nonexistent because of the lack of a standardized format for experiments. This study, which is the fruit of collaborative work by scientists at stem cell banks and cellular information registries worldwide, including those in the U.S., the U.K., Europe, and Japan, proposes new minimum information guidelines, Minimum Information About a Cellular Assay for Regenerative Medicine (MIACARM), for cellular assay data deposition. MIACARM was developed based on the existing guideline called MIACA. MIACARM is intended to promote data exchange and facilitation of practical regenerative medicine.","abbreviation":"MIACARM","year_creation":2016},"legacy_ids":["bsg-000679","bsg-s000679"],"name":"FAIRsharing record for: Minimum Information About a Cellular Assay for Regenerative Medicine","abbreviation":"MIACARM","url":"https://fairsharing.org/10.25504/FAIRsharing.yy18av","doi":"10.25504/FAIRsharing.yy18av","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Currently, there are more than 20 human cell information storage sites around the world. However, reproducibility and data exchange among different laboratories or cell information providers are usually inadequate or nonexistent because of the lack of a standardized format for experiments. This study, which is the fruit of collaborative work by scientists at stem cell banks and cellular information registries worldwide, including those in the U.S., the U.K., Europe, and Japan, proposes new minimum information guidelines, Minimum Information About a Cellular Assay for Regenerative Medicine (MIACARM), for cellular assay data deposition. MIACARM was developed based on the existing guideline called MIACA. MIACARM is intended to promote data exchange and facilitation of practical regenerative medicine.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12076}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Regenerative Medicine","Biomedical Science"],"domains":["Cell","Stem cell","Quality control","Assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States","European Union"],"publications":[{"id":1647,"pubmed_id":27405781,"title":"First proposal of Minimum Information About a Cellular Assay for Regenerative Medicine","year":2016,"url":"http://doi.org/10.5966/sctm.2015-0393","authors":"Kunie Sakurai, Andreas Kurtz, Glyn Stacey, Michael Sheldon, and Wataru Fujibuchi","journal":"Stem Cells Translational Medicine","doi":"10.5966/sctm.2015-0393","created_at":"2021-09-30T08:25:24.489Z","updated_at":"2021-09-30T08:25:24.489Z"}],"licence_links":[],"grants":[{"id":7142,"fairsharing_record_id":1290,"organisation_id":425,"relation":"maintains","created_at":"2021-09-30T09:28:27.292Z","updated_at":"2021-09-30T09:28:27.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":425,"name":"Center for iPS Cell Research and Application, Kyoto University, Japan","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1291","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:48:57.960Z","metadata":{"doi":"10.25504/FAIRsharing.t955dp","name":"Read Codes Clinical Terms Version 3","status":"ready","contacts":[{"contact_name":"NHS Information Authority Loughborough","contact_email":"helpdesk3@nhsccc.exec.nhs.uk"}],"homepage":"https://digital.nhs.uk/article/1104/Read-Codes","identifier":1291,"description":"Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. Clinical Terms Version 3 (CTV3) has been merged with the Systematized Nomenclature of Medicine – Reference Terminology (SNOMED RT), resulting in the creation of SNOMED – Clinical Terms (SNOMED CT). PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, with CTV3 due to be retired after the April 2018 release. Organisations should be well underway with their preparations to ensure they can use the dictionary of medicines and devices (dm+d) for medicines and SNOMED CT for clinical content. SNOMED CT is adopted across primary care and the wider NHS.","abbreviation":"CTV3","support_links":[{"url":"information.standards@hscic.gov.uk","name":"Contact Email","type":"Support email"}],"year_creation":1985,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RCD","name":"RCD","portal":"BioPortal"}]},"legacy_ids":["bsg-000930","bsg-s000930"],"name":"FAIRsharing record for: Read Codes Clinical Terms Version 3","abbreviation":"CTV3","url":"https://fairsharing.org/10.25504/FAIRsharing.t955dp","doi":"10.25504/FAIRsharing.t955dp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. Clinical Terms Version 3 (CTV3) has been merged with the Systematized Nomenclature of Medicine – Reference Terminology (SNOMED RT), resulting in the creation of SNOMED – Clinical Terms (SNOMED CT). PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, with CTV3 due to be retired after the April 2018 release. Organisations should be well underway with their preparations to ensure they can use the dictionary of medicines and devices (dm+d) for medicines and SNOMED CT for clinical content. SNOMED CT is adopted across primary care and the wider NHS.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12527}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Primary Health Care","Preclinical Studies"],"domains":["Drug","Diagnosis","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Government Licence (OGL)","licence_id":628,"licence_url":"http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/","link_id":1374,"relation":"undefined"}],"grants":[{"id":7143,"fairsharing_record_id":1291,"organisation_id":2903,"relation":"maintains","created_at":"2021-09-30T09:28:27.333Z","updated_at":"2021-09-30T09:28:27.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":2903,"name":"UK Terminology Centre (UKTC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1300","type":"fairsharing_records","attributes":{"created_at":"2018-03-14T09:58:26.000Z","updated_at":"2022-12-13T09:40:42.750Z","metadata":{"doi":"10.25504/FAIRsharing.dkKf7I","name":"Simple Application Messaging Protocol","status":"ready","contacts":[{"contact_name":"SAMP Mailing list","contact_email":"apps-samp@ivoa.net"}],"homepage":"http://ivoa.net/documents/SAMP/index.html","citations":[{"publication_id":2929}],"identifier":1300,"description":"SAMP is a messaging protocol that enables astronomy software tools to interoperate and communicate. IVOA members have recognised that building a monolithic tool that attempts to fulfil all the requirements of all users is impractical, and it is a better use of our limited resources to enable individual tools to work together better. One element of this is defining common file formats for the exchange of data between different applications. Another important component is a messaging system that enables the applications to share data and take advantage of each other's functionality. SAMP supports communication between applications on the desktop and in web browsers, and is also intended to form a framework for more general messaging requirements.","abbreviation":"SAMP","support_links":[{"url":"m.b.taylor@bristol.ac.uk","name":"M. Taylor","type":"Support email"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SampInfo","name":"SAMP Wiki","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001142","bsg-s001142"],"name":"FAIRsharing record for: Simple Application Messaging Protocol","abbreviation":"SAMP","url":"https://fairsharing.org/10.25504/FAIRsharing.dkKf7I","doi":"10.25504/FAIRsharing.dkKf7I","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SAMP is a messaging protocol that enables astronomy software tools to interoperate and communicate. IVOA members have recognised that building a monolithic tool that attempts to fulfil all the requirements of all users is impractical, and it is a better use of our limited resources to enable individual tools to work together better. One element of this is defining common file formats for the exchange of data between different applications. Another important component is a messaging system that enables the applications to share data and take advantage of each other's functionality. SAMP supports communication between applications on the desktop and in web browsers, and is also intended to form a framework for more general messaging requirements.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11485}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Integration","Astrophysics and Astronomy"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2278,"pubmed_id":null,"title":"SAMP, the Simple Application Messaging Protocol: Letting applications talk to each other","year":2015,"url":"http://doi.org/10.1016/j.ascom.2014.12.007","authors":"M.B.Taylor, T.Boch, J.Taylor","journal":"Astronomy and Computing, Volume 11, Part B, Pages 81-90","doi":"10.1016/j.ascom.2014.12.007","created_at":"2021-09-30T08:26:37.481Z","updated_at":"2021-09-30T08:26:37.481Z"},{"id":2929,"pubmed_id":null,"title":"Simple Application Messaging Protocol Version 1.3","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.1104T","authors":"Taylor, M.; Boch, T.; Fitzpatrick, M.; Allan, A.; Fay, J.; Paioro, L.; Taylor, J.; Tody, D.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:00.750Z","updated_at":"2021-09-30T08:28:00.750Z"}],"licence_links":[],"grants":[{"id":7160,"fairsharing_record_id":1300,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:27.986Z","updated_at":"2021-09-30T09:28:27.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7161,"fairsharing_record_id":1300,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:28.026Z","updated_at":"2021-09-30T09:28:28.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1301","type":"fairsharing_records","attributes":{"created_at":"2015-11-25T16:56:39.000Z","updated_at":"2021-11-24T13:13:30.246Z","metadata":{"doi":"10.25504/FAIRsharing.1bg18n","name":"Life Sciences Domain Analysis Model","status":"deprecated","contacts":[{"contact_name":"Juli Klemm","contact_email":"klemmj@mail.nih.gov"}],"homepage":"https://wiki.nci.nih.gov/pages/viewpage.action?pageId=23401587","identifier":1301,"description":"The LS DAM v2.2.1 is comprised of 130 classes and covers several core areas including Experiment, Molecular Biology, Molecular Databases and Specimen. Nearly half of these classes originate from the BRIDG model, emphasizing the semantic harmonization between these models. Validation of the LS DAM against independently derived information models, research scenarios and reference databases supports its general applicability to represent life sciences research.","abbreviation":"LS-DAM","year_creation":2012,"deprecation_date":"2015-11-30","deprecation_reason":"This record for the LS-DAM standard is deprecated as this standard is no longer actively maintained in it's own right as it has become subsumed into the BRIDG model standard."},"legacy_ids":["bsg-000627","bsg-s000627"],"name":"FAIRsharing record for: Life Sciences Domain Analysis Model","abbreviation":"LS-DAM","url":"https://fairsharing.org/10.25504/FAIRsharing.1bg18n","doi":"10.25504/FAIRsharing.1bg18n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LS DAM v2.2.1 is comprised of 130 classes and covers several core areas including Experiment, Molecular Biology, Molecular Databases and Specimen. Nearly half of these classes originate from the BRIDG model, emphasizing the semantic harmonization between these models. Validation of the LS DAM against independently derived information models, research scenarios and reference databases supports its general applicability to represent life sciences research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Molecular biology","Life Science"],"domains":["Gene model annotation","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":886,"pubmed_id":22744959,"title":"Life sciences domain analysis model.","year":2012,"url":"http://doi.org/10.1136/amiajnl-2011-000763","authors":"Freimuth RR, Freund ET, Schick L, Sharma MK, Stafford GA, Suzek BE, Hernandez J, Hipp J, Kelley JM, Rokicki K, Pan S, Buckler A, Stokes TH, Fernandez A, Fore I, Buetow KH, Klemm JD","journal":"J Am Med Inform Assoc","doi":"10.1136/amiajnl-2011-000763","created_at":"2021-09-30T08:23:57.837Z","updated_at":"2021-09-30T08:23:57.837Z"}],"licence_links":[],"grants":[{"id":7162,"fairsharing_record_id":1301,"organisation_id":1223,"relation":"maintains","created_at":"2021-09-30T09:28:28.069Z","updated_at":"2021-09-30T09:28:28.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7163,"fairsharing_record_id":1301,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:28:28.107Z","updated_at":"2021-09-30T09:28:28.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7164,"fairsharing_record_id":1301,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:28:28.144Z","updated_at":"2021-09-30T09:28:28.144Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1302","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:18:03.168Z","metadata":{"doi":"10.25504/FAIRsharing.31apg2","name":"IBP Cowpea Trait Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_340:ROOT","citations":[],"identifier":1302,"description":"The Cowpea Trait Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_340","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Help page","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001104","bsg-s001104"],"name":"FAIRsharing record for: IBP Cowpea Trait Ontology","abbreviation":"CO_340","url":"https://fairsharing.org/10.25504/FAIRsharing.31apg2","doi":"10.25504/FAIRsharing.31apg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cowpea Trait Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food","Phenotype"],"taxonomies":["Vigna unguiculata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[{"id":2198,"pubmed_id":22934074,"title":"Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice.","year":2012,"url":"http://doi.org/10.3389/fphys.2012.00326","authors":"Shrestha R,Matteis L,Skofic M,Portugal A,McLaren G,Hyman G,Arnaud E","journal":"Front Physiol","doi":"10.3389/fphys.2012.00326","created_at":"2021-09-30T08:26:27.748Z","updated_at":"2021-09-30T08:26:27.748Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1815,"relation":"undefined"}],"grants":[{"id":7165,"fairsharing_record_id":1302,"organisation_id":487,"relation":"maintains","created_at":"2021-09-30T09:28:28.186Z","updated_at":"2021-09-30T09:28:28.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":487,"name":"CGIAR Research Program on Grain Legumes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7166,"fairsharing_record_id":1302,"organisation_id":1496,"relation":"maintains","created_at":"2021-09-30T09:28:28.240Z","updated_at":"2021-09-30T09:28:28.240Z","grant_id":null,"is_lead":false,"saved_state":{"id":1496,"name":"International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1303","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.374Z","metadata":{"doi":"10.25504/FAIRsharing.bnx9cf","name":"Molecular Connections Cell Line Ontology","status":"uncertain","contacts":[{"contact_name":"Usha Mahadevan","contact_email":"usha@molecularconnections.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/MCCL","identifier":1303,"description":"The Molecular Connections Cell Line Ontology models primary and established cell lines-both normal and pathologic. It covers around 400 cell lines. This ontology has been built to include the major domains in the field of biology like anatomy, bio-molecules, chemicals and drugs, pathological conditions and genetic variations around the cell lines. The ontology covers all cell lines from sources such ATCC, DSMZ, ECACC, ICLC. This ontology has been developed as an extension of the sub class “cell line cell” which is a part of the major class “experimentally modified cell” of the Cell type [CL] ontology that already existed in OBO foundry. Disease ontology with which the cell line relates to has been exported from “Human Disease” [DOID] ontology and the organ/tissue details relate to the “Foundational model of anatomy” [FMA] ontology. There appears to be no official homepage.","abbreviation":"MCCL","support_links":[{"url":"http://www.molecularconnections.com/?p=14924","name":"Molecular Connections Press Release","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MCCL","name":"MCCL","portal":"BioPortal"}]},"legacy_ids":["bsg-002620","bsg-s002620"],"name":"FAIRsharing record for: Molecular Connections Cell Line Ontology","abbreviation":"MCCL","url":"https://fairsharing.org/10.25504/FAIRsharing.bnx9cf","doi":"10.25504/FAIRsharing.bnx9cf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Molecular Connections Cell Line Ontology models primary and established cell lines-both normal and pathologic. It covers around 400 cell lines. This ontology has been built to include the major domains in the field of biology like anatomy, bio-molecules, chemicals and drugs, pathological conditions and genetic variations around the cell lines. The ontology covers all cell lines from sources such ATCC, DSMZ, ECACC, ICLC. This ontology has been developed as an extension of the sub class “cell line cell” which is a part of the major class “experimentally modified cell” of the Cell type [CL] ontology that already existed in OBO foundry. Disease ontology with which the cell line relates to has been exported from “Human Disease” [DOID] ontology and the organ/tissue details relate to the “Foundational model of anatomy” [FMA] ontology. There appears to be no official homepage.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Health Science","Life Science"],"domains":["Cell line","Cell","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":7167,"fairsharing_record_id":1303,"organisation_id":1887,"relation":"maintains","created_at":"2021-09-30T09:28:28.277Z","updated_at":"2021-09-30T09:28:28.277Z","grant_id":null,"is_lead":false,"saved_state":{"id":1887,"name":"Molecular Connections, Bangalore, India","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1304","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2023-03-24T15:29:31.104Z","metadata":{"doi":"10.25504/FAIRsharing.str8m4","name":"Cigarette Smoke Exposure Ontology","status":"deprecated","contacts":[{"contact_name":"Dr. Sam Ansari","contact_email":"sam.ansari@pmi.com"}],"homepage":"https://publicwiki-01.fraunhofer.de/CSEO-Wiki/index.php/Main_Page","citations":[{"doi":"10.1186/2041-1480-5-31","pubmed_id":25093069,"publication_id":1384}],"identifier":1304,"description":"The Cigarette Smoke Exposure Ontology (CSEO) is a specialized ontology of environmental exposure with particular focus on the description of the experimental elements and the impact that environmental exposure, e.g. cigarette smoke, poses to biological systems. The scope of CSEO is centered on the following elements: Exposure experiment, Exposure condition, Test system, Sampling, and Disease outcome.","abbreviation":"CSEO","support_links":[{"url":"https://publicwiki-01.fraunhofer.de/CSEO-Wiki/index.php/About_CSEO","name":"About CSEO","type":"Help documentation"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CSEO","name":"CSEO","portal":"BioPortal"}],"deprecation_date":"2023-03-24","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-000944","bsg-s000944"],"name":"FAIRsharing record for: Cigarette Smoke Exposure Ontology","abbreviation":"CSEO","url":"https://fairsharing.org/10.25504/FAIRsharing.str8m4","doi":"10.25504/FAIRsharing.str8m4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cigarette Smoke Exposure Ontology (CSEO) is a specialized ontology of environmental exposure with particular focus on the description of the experimental elements and the impact that environmental exposure, e.g. cigarette smoke, poses to biological systems. The scope of CSEO is centered on the following elements: Exposure experiment, Exposure condition, Test system, Sampling, and Disease outcome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Environmental contaminant","Disease course","Exposure"],"taxonomies":["All"],"user_defined_tags":["Species-environment interaction"],"countries":["Germany","Switzerland","United States"],"publications":[{"id":1384,"pubmed_id":25093069,"title":"CSEO - the Cigarette Smoke Exposure Ontology.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-31","authors":"Younesi E,Ansari S,Guendel M,Ahmadi S,Coggins C,Hoeng J,Hofmann-Apitius M,Peitsch MC","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-31","created_at":"2021-09-30T08:24:54.768Z","updated_at":"2021-09-30T08:24:54.768Z"}],"licence_links":[],"grants":[{"id":7168,"fairsharing_record_id":1304,"organisation_id":2320,"relation":"funds","created_at":"2021-09-30T09:28:28.319Z","updated_at":"2021-09-30T09:28:28.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":2320,"name":"Philip Morris International R\u0026D, Philip Morris Products S.A, Neuchatel, Switzerland","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7169,"fairsharing_record_id":1304,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:28:28.357Z","updated_at":"2021-09-30T09:28:28.357Z","grant_id":null,"is_lead":true,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1295","type":"fairsharing_records","attributes":{"created_at":"2019-10-24T11:01:53.000Z","updated_at":"2022-07-20T12:47:31.122Z","metadata":{"doi":"10.25504/FAIRsharing.vxpUJ6","name":"Ontology of Host-Pathogen Interactions","status":"ready","contacts":[{"contact_name":"Edison Ong","contact_email":"edong@umich.edu","contact_orcid":"0000-0002-5159-414X"}],"homepage":"https://github.com/OHPI/ohpi","identifier":1295,"description":"OHPI is a community-driven ontology of host-pathogen interactions (OHPI) and represents the virulence factors (VFs) and how the mutants of VFs in the Victors database become less virulence inside a host organism or host cells. It is also developed to represent manually curated HPI knowledge available in the PHIDIAS resource.","abbreviation":"OHPI","support_links":[{"url":"https://github.com/OHPI/ohpi/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2019,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OHPI","name":"OHPI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ohpi.html","name":"ohpi","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001395","bsg-s001395"],"name":"FAIRsharing record for: Ontology of Host-Pathogen Interactions","abbreviation":"OHPI","url":"https://fairsharing.org/10.25504/FAIRsharing.vxpUJ6","doi":"10.25504/FAIRsharing.vxpUJ6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OHPI is a community-driven ontology of host-pathogen interactions (OHPI) and represents the virulence factors (VFs) and how the mutants of VFs in the Victors database become less virulence inside a host organism or host cells. It is also developed to represent manually curated HPI knowledge available in the PHIDIAS resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Biomedical Science"],"domains":["Pathogen","Host","Infection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2588,"pubmed_id":30365026,"title":"Victors: a web-based knowledge base of virulence factors in human and animal pathogens.","year":2018,"url":"http://doi.org/10.1093/nar/gky999","authors":"Sayers S,Li L,Ong E,Deng S,Fu G,Lin Y,Yang B,Zhang S,Fa Z,Zhao B,Xiang Z,Li Y,Zhao XM,Olszewski MA,Chen L,He Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky999","created_at":"2021-09-30T08:27:17.434Z","updated_at":"2021-09-30T11:29:40.110Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1474,"relation":"undefined"}],"grants":[{"id":7152,"fairsharing_record_id":1295,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:27.652Z","updated_at":"2021-09-30T09:28:27.652Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1296","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T09:44:16.000Z","updated_at":"2022-07-20T12:19:06.659Z","metadata":{"doi":"10.25504/FAIRsharing.dxcjn5","name":"Agroecology Knowledge Management","status":"ready","contacts":[{"contact_name":"GECO support","contact_email":"geco@irstea.fr"}],"homepage":"https://data.inrae.fr/dataset.xhtml?persistentId=doi:10.15454/1.4822495904463706E12","citations":[{"publication_id":2566}],"identifier":1296,"description":"Agroecology knowledge management is an application ontology for the description and organization of knowledge to design innovative crop systems.","abbreviation":"GECO","support_links":[{"url":"http://omv.ontoware.org/2005/05/ontology#documentation","name":"documentation","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000726","bsg-s000726"],"name":"FAIRsharing record for: Agroecology Knowledge Management","abbreviation":"GECO","url":"https://fairsharing.org/10.25504/FAIRsharing.dxcjn5","doi":"10.25504/FAIRsharing.dxcjn5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Agroecology knowledge management is an application ontology for the description and organization of knowledge to design innovative crop systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Farming Systems Research","Agroecology","Knowledge and Information Systems"],"domains":["Cropping systems"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":2566,"pubmed_id":null,"title":"GECO, the French Web-based application for knowledge management in agroecology","year":2019,"url":"https://www.sciencedirect.com/science/article/abs/pii/S0168169917300492?via%3Dihub","authors":"Vincent Soulignac, François Pinet, Eva Lambert, Laurence Guichard, Luce Trouche, Sophie Aubin","journal":"Computers and Electronics in Agriculture Volume 162, July 2019, Pages 1050-1056","doi":null,"created_at":"2021-09-30T08:27:14.677Z","updated_at":"2021-09-30T08:27:14.677Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":850,"relation":"undefined"}],"grants":[{"id":7153,"fairsharing_record_id":1296,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:27.691Z","updated_at":"2021-09-30T09:28:27.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1297","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:47.100Z","metadata":{"doi":"10.25504/FAIRsharing.5744rq","name":"Sample processing and separations controlled vocabulary","status":"ready","contacts":[{"contact_name":"SEP Developers","contact_email":"psidev-gps-dev@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/sepcv","identifier":1297,"description":"The sepCV is a controlled vocabulary for teminology associated with sample preparation and sample processing for proteomics. The sepCV was originally designed to provide terminology for the MIAPE GE reporting guidelines and the gelML data transfer format. It has now been expanded to include terminology for gel image informatics to support the MIAPE GI reporting guidelines and the GelInfoML data transfer format. In addition it includes relevant terminology for general sample processing to support the data transfer format of spML. The sepCV is beign jointly developed by the Proteomics Standards Intiative (PSI) and the Metabolomics Standards Intitative (MSI).","abbreviation":"sepCV","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"https://raw.githubusercontent.com/HUPO-PSI/gelml/master/CV/sep.obo","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SEP","name":"SEP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/sep.html","name":"sep","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000073","bsg-s000073"],"name":"FAIRsharing record for: Sample processing and separations controlled vocabulary","abbreviation":"sepCV","url":"https://fairsharing.org/10.25504/FAIRsharing.5744rq","doi":"10.25504/FAIRsharing.5744rq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The sepCV is a controlled vocabulary for teminology associated with sample preparation and sample processing for proteomics. The sepCV was originally designed to provide terminology for the MIAPE GE reporting guidelines and the gelML data transfer format. It has now been expanded to include terminology for gel image informatics to support the MIAPE GI reporting guidelines and the GelInfoML data transfer format. In addition it includes relevant terminology for general sample processing to support the data transfer format of spML. The sepCV is beign jointly developed by the Proteomics Standards Intiative (PSI) and the Metabolomics Standards Intitative (MSI).","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11424},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11933}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Sample preparation for assay","Material processing","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[],"licence_links":[],"grants":[{"id":7154,"fairsharing_record_id":1297,"organisation_id":1822,"relation":"maintains","created_at":"2021-09-30T09:28:27.722Z","updated_at":"2021-09-30T09:28:27.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7155,"fairsharing_record_id":1297,"organisation_id":1292,"relation":"maintains","created_at":"2021-09-30T09:28:27.759Z","updated_at":"2021-09-30T09:28:27.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":1292,"name":"HUPO-PSI initiative; Separation working group","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1298","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:57:36.000Z","updated_at":"2022-12-13T10:24:09.482Z","metadata":{"doi":"10.25504/FAIRsharing.4PesRe","name":"StandardsRegExt: a VOResource Schema Extension for Describing IVOA Standards","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/StandardsRegExt/","citations":[{"publication_id":2958}],"identifier":1298,"description":"StandardsRegExt is an XML encoding standard for metadata about IVOA standards themselves, referred to as StandardsRegExt. It is intended to allow for the discovery of a standard via an IVOA identifier that refers to the standard. It also allows one to define concepts that are defined by the standard which can themselves be referred to via an IVOA identifier (augmented with a URL fragment identifier). Finally, it can also provide a machine interpretable description of a standard service interface. We describe the general model for the schema and explain its intended use by interoperable registries for discovering resources.","abbreviation":"StandardsRegExt","support_links":[{"url":"http://ivoa.net/documents/StandardsRegExt/20120508/REC-StandardsRegExt-1.0-20120508.html","name":"View Standard","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001199","bsg-s001199"],"name":"FAIRsharing record for: StandardsRegExt: a VOResource Schema Extension for Describing IVOA Standards","abbreviation":"StandardsRegExt","url":"https://fairsharing.org/10.25504/FAIRsharing.4PesRe","doi":"10.25504/FAIRsharing.4PesRe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: StandardsRegExt is an XML encoding standard for metadata about IVOA standards themselves, referred to as StandardsRegExt. It is intended to allow for the discovery of a standard via an IVOA identifier that refers to the standard. It also allows one to define concepts that are defined by the standard which can themselves be referred to via an IVOA identifier (augmented with a URL fragment identifier). Finally, it can also provide a machine interpretable description of a standard service interface. We describe the general model for the schema and explain its intended use by interoperable registries for discovering resources.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11461}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2958,"pubmed_id":null,"title":"StandardsRegExt: a VOResource Schema Extension for Describing IVOA Standards Version 1.0","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0508H","authors":"Harrison, Paul; Burke, Douglas; Plante, Ray; Rixon, Guy; Morris, Dave; IVOA Registry Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.558Z","updated_at":"2021-09-30T08:28:04.558Z"}],"licence_links":[],"grants":[{"id":7156,"fairsharing_record_id":1298,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:27.802Z","updated_at":"2021-09-30T09:28:27.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7157,"fairsharing_record_id":1298,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:27.840Z","updated_at":"2021-09-30T09:28:27.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1299","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T20:15:13.000Z","updated_at":"2022-12-13T09:41:01.389Z","metadata":{"doi":"10.25504/FAIRsharing.WQLolR","name":"HEALPix Multi-Order Coverage Map","status":"ready","contacts":[{"contact_name":"IVOA Applications Working Group","contact_email":"apps@ivoa.net"}],"homepage":"http://ivoa.net/documents/MOC/index.html","citations":[{"publication_id":2931}],"identifier":1299,"description":"This document describes the Multi-Order Coverage map method (MOC) to specify arbitrary sky regions. The goal is to be able to provide a very fast comparison mechanism between coverage maps. The mechanism is based on the HEALPix sky tessellation algorithm. It is essentially a simple way to map regions of the sky into hierarchically grouped predefined cells. The encoding method described in this document allows one to define and manipulate any region of the sky in such a way that basic operations like union, intersection, equality test can be performed very efficiently. It is dedicated to Virtual Observatory (VO) applications or VO data servers for building efficient procedures for which mapping knowledge is required like generic catalog cross-match, computation of data set intersections, or similar operations.","abbreviation":"MOC","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/MocInfo","name":"MOC Wiki","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-001145","bsg-s001145"],"name":"FAIRsharing record for: HEALPix Multi-Order Coverage Map","abbreviation":"MOC","url":"https://fairsharing.org/10.25504/FAIRsharing.WQLolR","doi":"10.25504/FAIRsharing.WQLolR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document describes the Multi-Order Coverage map method (MOC) to specify arbitrary sky regions. The goal is to be able to provide a very fast comparison mechanism between coverage maps. The mechanism is based on the HEALPix sky tessellation algorithm. It is essentially a simple way to map regions of the sky into hierarchically grouped predefined cells. The encoding method described in this document allows one to define and manipulate any region of the sky in such a way that basic operations like union, intersection, equality test can be performed very efficiently. It is dedicated to Virtual Observatory (VO) applications or VO data servers for building efficient procedures for which mapping knowledge is required like generic catalog cross-match, computation of data set intersections, or similar operations.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11466}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2931,"pubmed_id":null,"title":"MOC - HEALPix Multi-Order Coverage map Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.0602F","authors":"Fernique, Pierre; Boch, Thomas; Donaldson, Tom; Durand, Daniel; O'Mullane, Wil; Reinecke, Martin; Taylor, Mark","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.134Z","updated_at":"2021-09-30T08:28:01.134Z"}],"licence_links":[],"grants":[{"id":7159,"fairsharing_record_id":1299,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:27.936Z","updated_at":"2021-09-30T09:28:27.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7158,"fairsharing_record_id":1299,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:27.894Z","updated_at":"2021-09-30T09:28:27.894Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1280","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:37:52.718Z","metadata":{"doi":"10.25504/FAIRsharing.q72e3w","name":"Short Read Archive eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"Data submission help email","contact_email":"datasubs@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/ena/submit/read-xml-format-1-5","identifier":1280,"description":"The SRA data model contains the following objects: Study: information about the sequencing project Sample: information about the sequenced samples Experiment: information about the libraries, platform; associated with study, sample(s) and run(s) Run: contains the raw data files Analysis: contains the analysis data files; associated with study, sample and run objects Submission: information about the submission actions include release date. It is used by The Sequence Read Archive (SRA) and the European Nucleotide Archive (ENA) to store raw sequencing data from the next generation of sequencing platforms including Roche 454 GS System, Illumina Genome Analyzer, Applied Biosystems SOLiD System, Helicos Heliscope, Complete Genomics, and Pacific Biosciences SMRT. Please note that the SRA-XML webpage states that \"This page has been deprecated and may be removed without further notice.\"","abbreviation":"SRA-XML","support_links":[{"url":"https://www.ebi.ac.uk/ena/submit/read-data-format#metadata_format","name":"SRA XML Metadata Format 1.5","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-000084","bsg-s000084"],"name":"FAIRsharing record for: Short Read Archive eXtensible Markup Language","abbreviation":"SRA-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.q72e3w","doi":"10.25504/FAIRsharing.q72e3w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SRA data model contains the following objects: Study: information about the sequencing project Sample: information about the sequenced samples Experiment: information about the libraries, platform; associated with study, sample(s) and run(s) Run: contains the raw data files Analysis: contains the analysis data files; associated with study, sample and run objects Submission: information about the submission actions include release date. It is used by The Sequence Read Archive (SRA) and the European Nucleotide Archive (ENA) to store raw sequencing data from the next generation of sequencing platforms including Roche 454 GS System, Illumina Genome Analyzer, Applied Biosystems SOLiD System, Helicos Heliscope, Complete Genomics, and Pacific Biosciences SMRT. Please note that the SRA-XML webpage states that \"This page has been deprecated and may be removed without further notice.\"","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11190},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11937},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12399}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science","Transcriptomics"],"domains":["Nucleic acid sequence","DNA sequence data","Assay","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":934,"relation":"undefined"}],"grants":[{"id":7129,"fairsharing_record_id":1280,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:26.785Z","updated_at":"2021-09-30T09:28:26.785Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1281","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:46.850Z","metadata":{"doi":"10.25504/FAIRsharing.avw5q","name":"Collaborative Computing Project for NMR","status":"ready","contacts":[{"contact_name":"Tim Stevens","contact_email":"tjs23@mole.bio.cam.ac.uk"}],"homepage":"http://www.ccpn.ac.uk/software/extras/datamodelfolder/datamodel","identifier":1281,"description":"The CCPN Data Model for macromolecular NMR is intended to cover all data needed for macromolecular NMR spectroscopy from the initial experimental data to the final validation. It serves for exchange of data between programs, for storage, data harvesting, and database deposition. The data model proper is an abstract description of the relevant data and their relationships - it is implemented in the modeling language UML. From this CCPN autogenerates interfaces (APIs) for various languages, format description and I/O routines, and documentation.","abbreviation":"CCPN data model","support_links":[{"url":"http://www.ccpn.ac.uk/v2-software/software/tutorials","type":"Help documentation"},{"url":"https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=CCPNMR","type":"Mailing list"},{"url":"https://sites.google.com/site/ccpnwiki/Home/","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000284","bsg-s000284"],"name":"FAIRsharing record for: Collaborative Computing Project for NMR","abbreviation":"CCPN data model","url":"https://fairsharing.org/10.25504/FAIRsharing.avw5q","doi":"10.25504/FAIRsharing.avw5q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CCPN Data Model for macromolecular NMR is intended to cover all data needed for macromolecular NMR spectroscopy from the initial experimental data to the final validation. It serves for exchange of data between programs, for storage, data harvesting, and database deposition. The data model proper is an abstract description of the relevant data and their relationships - it is implemented in the modeling language UML. From this CCPN autogenerates interfaces (APIs) for various languages, format description and I/O routines, and documentation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Molecular entity","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1722,"pubmed_id":15613391,"title":"A framework for scientific data modeling and automated software development.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bti234","authors":"Fogh RH,Boucher W,Vranken WF,Pajon A,Stevens TJ,Bhat TN,Westbrook J,Ionides JM,Laue ED","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti234","created_at":"2021-09-30T08:25:32.965Z","updated_at":"2021-09-30T08:25:32.965Z"}],"licence_links":[],"grants":[{"id":7130,"fairsharing_record_id":1281,"organisation_id":2756,"relation":"maintains","created_at":"2021-09-30T09:28:26.811Z","updated_at":"2021-09-30T09:28:26.811Z","grant_id":null,"is_lead":false,"saved_state":{"id":2756,"name":"The Collaborative Computing Project for NMR (CCPN), Cambridge, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1292","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:17:10.543Z","metadata":{"doi":"10.25504/FAIRsharing.8ntfwm","name":"Standards for Reporting Enzymology Data Guidelines","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"strenda@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/strenda/guidelines","citations":[{"doi":"10.1016/j.pisc.2014.02.012","pubmed_id":null,"publication_id":1303},{"doi":"10.1111/febs.14427","pubmed_id":29498804,"publication_id":2613}],"identifier":1292,"description":"STRENDA stands for “Standards for Reporting Enzymology Data”. For researchers it is essential to be able to compare, evaluate, interpret and reproduce experimental research results published in the literature and databases. Thus, for enzyme research, the STRENDA Commission has established standards for data reporting with the aim to improve the quality of data published in the scientific literature. The STRENDA Guidelines were developed through extensive interactions with the biochemistry community to define the minimum information that is needed to correctly describe assay conditions (List Level 1A) and enzyme activity data (List Level 1B). However, STRENDA aims neither to dictate or limit the experimental techniques used in enzymology experiments nor to establish a metric for judging the quality of experimental data, but to ensure that data sets are complete and validated, allowing scientists to review, reuse and verify them. The emphasis is on providing useful and reliable information. With the aim to support authors to comprehensively report kinetic and equilibrium data from their investigations of enzyme activities, currently more than 55 international biochemistry journals already included the STRENDA Guidelines in their Instructions for Authors. The STRENDA Commission is continuously consulting the wider science community, reports the progress of its work and discusses new approaches regularly at the Beilstein Enzymology Symposia and in scientific journals.","abbreviation":"STRENDA","support_links":[{"url":"strenda@beilstein-institut.de","type":"Support email"},{"url":"http://mibbi.sf.net/projects/STRENDA.shtml","type":"Help documentation"},{"url":"http://www.beilstein-institut.de/en/projects/strenda/guidelines","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000169","bsg-s000169"],"name":"FAIRsharing record for: Standards for Reporting Enzymology Data Guidelines","abbreviation":"STRENDA","url":"https://fairsharing.org/10.25504/FAIRsharing.8ntfwm","doi":"10.25504/FAIRsharing.8ntfwm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STRENDA stands for “Standards for Reporting Enzymology Data”. For researchers it is essential to be able to compare, evaluate, interpret and reproduce experimental research results published in the literature and databases. Thus, for enzyme research, the STRENDA Commission has established standards for data reporting with the aim to improve the quality of data published in the scientific literature. The STRENDA Guidelines were developed through extensive interactions with the biochemistry community to define the minimum information that is needed to correctly describe assay conditions (List Level 1A) and enzyme activity data (List Level 1B). However, STRENDA aims neither to dictate or limit the experimental techniques used in enzymology experiments nor to establish a metric for judging the quality of experimental data, but to ensure that data sets are complete and validated, allowing scientists to review, reuse and verify them. The emphasis is on providing useful and reliable information. With the aim to support authors to comprehensively report kinetic and equilibrium data from their investigations of enzyme activities, currently more than 55 international biochemistry journals already included the STRENDA Guidelines in their Instructions for Authors. The STRENDA Commission is continuously consulting the wider science community, reports the progress of its work and discusses new approaches regularly at the Beilstein Enzymology Symposia and in scientific journals.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11148},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11571},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11710},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11951}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Enzymology","Life Science"],"domains":["Michaelis constant","Inhibitory constant","Catalytic activity","Enzyme","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1107,"pubmed_id":20956966,"title":"A large-scale protein-function database","year":2010,"url":"http://doi.org/10.1038/nchembio.460","authors":"Apweiler R, Armstrong R, Bairoch A, Cornish-Bowden A, Halling PJ, Hofmeyr JH, Kettner C, Leyh TS, Rohwer J, Schomburg D, Steinbeck C, Tipton K.","journal":"Nat Chem Biol.","doi":"10.1038/nchembio.460.","created_at":"2021-09-30T08:24:22.656Z","updated_at":"2021-09-30T08:24:22.656Z"},{"id":1303,"pubmed_id":null,"title":"Standards for Reporting Enzyme Data: The STRENDA Consortium: What it aims to do and why it should be helpful","year":2014,"url":"http://doi.org/10.1016/j.pisc.2014.02.012","authors":"Keith F. Tipton, Richard N. Armstrong, Barbara M. Bakker, Amos Bairoch, Athel Cornish-Bowden, Peter J. Halling, Jan-Hendrik Hofmeyr, Thomas S. Leyh, Carsten Kettner, Frank M. Raushel, Johann Rohwer, Dietmar Schomburg, Christoph Steinbeck","journal":"Perspectives in Science","doi":"10.1016/j.pisc.2014.02.012","created_at":"2021-09-30T08:24:45.500Z","updated_at":"2021-09-30T08:24:45.500Z"},{"id":1990,"pubmed_id":15653320,"title":"The importance of uniformity in reporting protein-function data.","year":2005,"url":"http://doi.org/10.1016/j.tibs.2004.11.002","authors":"Apweiler R, Cornish-Bowden A, Hofmeyr JH, Kettner C, Leyh TS, Schomburg D, Tipton K","journal":"Trends Biochem Sci","doi":"10.1016/j.tibs.2004.11.002","created_at":"2021-09-30T08:26:04.009Z","updated_at":"2021-09-30T08:26:04.009Z"},{"id":2613,"pubmed_id":29498804,"title":"STRENDA DB: enabling the validation and sharing of enzyme kinetics data","year":1966,"url":"https://www.ncbi.nlm.nih.gov/pubmed/29498804","authors":"Swainston, N., et al.","journal":"The FEBS J.","doi":"10.1111/febs.14427","created_at":"2021-09-30T08:27:20.795Z","updated_at":"2021-09-30T08:27:20.795Z"},{"id":3452,"pubmed_id":30195215,"title":"An empirical analysis of enzyme function reporting for experimental reproducibility: Missing/incomplete information in published papers","year":2018,"url":"http://doi.org/10.1016/j.bpc.2018.08.004","authors":"Halling, P., Fitzpatrick, P.F., Raushel, F.M., Rohwer, J., Schnell, S., Wittig, U., Wohlgemuth, R., Kettner, C.","journal":"Biophys. Chem.","doi":"10.1016/j.bpc.2018.08.004","created_at":"2022-06-27T09:10:46.678Z","updated_at":"2022-06-27T09:10:46.678Z"}],"licence_links":[{"licence_name":"Beilstein Institute Privacy Policy","licence_id":66,"licence_url":"http://www.beilstein-institut.de/en/pricacy-policy","link_id":1845,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1846,"relation":"undefined"}],"grants":[{"id":7144,"fairsharing_record_id":1292,"organisation_id":2654,"relation":"maintains","created_at":"2021-09-30T09:28:27.375Z","updated_at":"2021-09-30T09:28:27.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":2654,"name":"STRENDA Commission","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7146,"fairsharing_record_id":1292,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:27.447Z","updated_at":"2021-09-30T09:28:27.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7145,"fairsharing_record_id":1292,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:27.413Z","updated_at":"2021-09-30T09:28:27.413Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWVU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--bfbeea52d2a379fa26f78155d792ed13f5c9b1e6/Logo_Beilstein_STRENDA_CMYK.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1293","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T20:01:28.000Z","updated_at":"2021-11-24T13:16:09.909Z","metadata":{"doi":"10.25504/FAIRsharing.c82136","name":"United States Geoscience Information Network Metadata Profile","status":"ready","contacts":[{"contact_name":"Stephen M. Richard","contact_email":"Steve.richard@usgin.org"}],"homepage":"http://usgin.github.io/usginspecs/USGIN_ISO_Metadata.htm","identifier":1293,"description":"The USGIN Metadata Profile describes recommended practices for using ISO19139 xml encoding of ISO 19115 and ISO 19119 metadata to describe a broad spectrum of geoscience resources. The document provides guidance for the population of ISO19139 encoded metadata documents to enable interoperability of catalog service clients with multiple servers conforming to this profile.","abbreviation":"USGIN Metadata Profile","support_links":[{"url":"metadata@usgin.org","name":"USGIN Metadata Team","type":"Support email"},{"url":"metadata@azgs.az.gov","name":"AZGS Metadata Team","type":"Support email"},{"url":"https://github.com/usgin/usginspecs","name":"GitHub Repository","type":"Github"}],"year_creation":2009},"legacy_ids":["bsg-001317","bsg-s001317"],"name":"FAIRsharing record for: United States Geoscience Information Network Metadata Profile","abbreviation":"USGIN Metadata Profile","url":"https://fairsharing.org/10.25504/FAIRsharing.c82136","doi":"10.25504/FAIRsharing.c82136","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The USGIN Metadata Profile describes recommended practices for using ISO19139 xml encoding of ISO 19115 and ISO 19119 metadata to describe a broad spectrum of geoscience resources. The document provides guidance for the population of ISO19139 encoded metadata documents to enable interoperability of catalog service clients with multiple servers conforming to this profile.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7149,"fairsharing_record_id":1293,"organisation_id":2954,"relation":"maintains","created_at":"2021-09-30T09:28:27.530Z","updated_at":"2021-09-30T09:28:27.530Z","grant_id":null,"is_lead":true,"saved_state":{"id":2954,"name":"United States Geoscience Information Network (USGIN),","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7147,"fairsharing_record_id":1293,"organisation_id":3171,"relation":"maintains","created_at":"2021-09-30T09:28:27.479Z","updated_at":"2021-09-30T09:28:27.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":3171,"name":"USGIN Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7148,"fairsharing_record_id":1293,"organisation_id":112,"relation":"maintains","created_at":"2021-09-30T09:28:27.503Z","updated_at":"2021-09-30T09:28:27.503Z","grant_id":null,"is_lead":false,"saved_state":{"id":112,"name":"Arizona Geological Survey (AZGS), University of Arizona, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1294","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:26:32.000Z","updated_at":"2023-06-02T15:09:34.281Z","metadata":{"doi":"10.25504/FAIRsharing.GOZFxU","name":"Signal theory and processing vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/SN8/en/","citations":[],"identifier":1294,"description":"Vocabulary used for indexing bibliographical records dealing with the field \"Signal theory and processing\" in the PASCAL database, until 2014. This resource contains 2483 entries in 3 languages (English, French, and Spanish), grouped in 84 collections.","abbreviation":null,"year_creation":2018},"legacy_ids":["bsg-001414","bsg-s001414"],"name":"FAIRsharing record for: Signal theory and processing vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.GOZFxU","doi":"10.25504/FAIRsharing.GOZFxU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Vocabulary used for indexing bibliographical records dealing with the field \"Signal theory and processing\" in the PASCAL database, until 2014. This resource contains 2483 entries in 3 languages (English, French, and Spanish), grouped in 84 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11301}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Signal processing","Signal theory"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":595,"relation":"undefined"}],"grants":[{"id":7150,"fairsharing_record_id":1294,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:27.563Z","updated_at":"2021-09-30T09:28:27.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7151,"fairsharing_record_id":1294,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:27.610Z","updated_at":"2021-09-30T09:28:27.610Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1282","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-27T12:56:27.191Z","metadata":{"doi":"10.25504/FAIRsharing.h6c48k","name":"KEGG Mark-up Language","status":"ready","contacts":[{"contact_name":"Clemens Wrzodek","contact_email":"clemens.wrzodek@uni-tuebingen.de"}],"homepage":"http://www.genome.jp/kegg/xml/","citations":[],"identifier":1282,"description":"The KEGG Markup Language (KGML) is an exchange format of the KEGG pathway maps, which is converted from internally used KGML+ (KGML+SVG) format. KGML enables automatic drawing of KEGG pathways and provides facilities for computational analysis and modeling of gene/protein networks and chemical networks.","abbreviation":"KGML","support_links":[{"url":"http://www.genome.jp/feedback/","type":"Contact form"}]},"legacy_ids":["bsg-000282","bsg-s000282"],"name":"FAIRsharing record for: KEGG Mark-up Language","abbreviation":"KGML","url":"https://fairsharing.org/10.25504/FAIRsharing.h6c48k","doi":"10.25504/FAIRsharing.h6c48k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The KEGG Markup Language (KGML) is an exchange format of the KEGG pathway maps, which is converted from internally used KGML+ (KGML+SVG) format. KGML enables automatic drawing of KEGG pathways and provides facilities for computational analysis and modeling of gene/protein networks and chemical networks.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11180},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12081},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16938}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Japan"],"publications":[{"id":1828,"pubmed_id":21700675,"title":"KEGGtranslator: visualizing and converting the KEGG PATHWAY database to various formats.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr377","authors":"Wrzodek C,Drager A,Zell A","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr377","created_at":"2021-09-30T08:25:45.330Z","updated_at":"2021-09-30T08:25:45.330Z"}],"licence_links":[],"grants":[{"id":7131,"fairsharing_record_id":1282,"organisation_id":1621,"relation":"maintains","created_at":"2021-09-30T09:28:26.835Z","updated_at":"2021-09-30T09:28:26.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":1621,"name":"Kanehisa Laboratories, Kyoto, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1283","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:55.135Z","metadata":{"doi":"10.25504/FAIRsharing.pa6njw","name":"Student Health Record","status":"deprecated","contacts":[{"contact_name":"Hassan Shojaee","contact_email":"shojaee@gmu.ac.ir"}],"homepage":"http://bioportal.bioontology.org/ontologies/1665","identifier":1283,"description":"The goal of the SHR project is to develop an ontology for the description of student health records. Student health records are created for entering college students in order to provide better health services will be formed. This file contains various sections such as history of disease, family history of disease and public examinations.","abbreviation":"SHR","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SHR","name":"SHR","portal":"BioPortal"}],"deprecation_date":"2016-05-03","deprecation_reason":"This resource is inactive, and current information cannot be retrieved."},"legacy_ids":["bsg-002752","bsg-s002752"],"name":"FAIRsharing record for: Student Health Record","abbreviation":"SHR","url":"https://fairsharing.org/10.25504/FAIRsharing.pa6njw","doi":"10.25504/FAIRsharing.pa6njw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the SHR project is to develop an ontology for the description of student health records. Student health records are created for entering college students in order to provide better health services will be formed. This file contains various sections such as history of disease, family history of disease and public examinations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Biomedical Science"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Iran"],"publications":[{"id":1782,"pubmed_id":null,"title":"Ontology for Student Health Record","year":2014,"url":"https://www.researchgate.net/publication/308113683_Ontology_for_Student_Health_Record","authors":"Shojaee-Mend H and Ghayour-Razmgah G","journal":"Academy of Business and Scientific Research","doi":null,"created_at":"2021-09-30T08:25:39.996Z","updated_at":"2021-09-30T11:28:33.277Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1284","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-23T17:46:35.654Z","metadata":{"doi":"10.25504/FAIRsharing.2yv5sa","name":"Clustered Data Table Format","status":"ready","contacts":[],"homepage":"https://puma.princeton.edu/help/formats.shtml#cdt","citations":[],"identifier":1284,"description":"This is a data table format used in the PUMAdb workflow to transform a .pcl file into a .cdt (clustered data table) file which contains the original data, but reordered, to reflect the clustering.","abbreviation":null,"support_links":[{"url":"array@princeton.edu","type":"Support email"},{"url":"https://puma.princeton.edu/index.shtml","name":"About PUMAdb","type":"Other"}],"year_creation":2004},"legacy_ids":["bsg-000244","bsg-s000244"],"name":"FAIRsharing record for: Clustered Data Table Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2yv5sa","doi":"10.25504/FAIRsharing.2yv5sa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a data table format used in the PUMAdb workflow to transform a .pcl file into a .cdt (clustered data table) file which contains the original data, but reordered, to reflect the clustering.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Clustering","Gene"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"PUMAdb Privacy Policy","licence_id":690,"licence_url":"https://puma.princeton.edu/privacy.shtml","link_id":3103,"relation":"applies_to_content"}],"grants":[{"id":7133,"fairsharing_record_id":1284,"organisation_id":2357,"relation":"maintains","created_at":"2021-09-30T09:28:26.899Z","updated_at":"2023-02-23T15:54:03.539Z","grant_id":null,"is_lead":true,"saved_state":{"id":2357,"name":"Princeton University, NJ, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1285","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.292Z","metadata":{"doi":"10.25504/FAIRsharing.ct3xa3","name":"Plant Structure Development Stage","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"po-discuss@plantontology.org"}],"homepage":"http://browser.planteome.org/amigo/term/PO:0009012#display-lineage-tab","identifier":1285,"description":"A controlled vocabulary of growth and developmental stages in various plants. Note that this has been subsumed into the Plant Ontology (PO).","abbreviation":"PO PSDS","support_links":[{"url":"http://planteome.org/contact","type":"Mailing list"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PSDS","name":"PSDS","portal":"BioPortal"}],"deprecation_date":"2015-12-23","deprecation_reason":"REPLACED BY: Plant Ontology (PO). A controlled vocabulary of growth and developmental stages in various plants. This standard has been subsumed into the Plant Ontology (PO) - http://www.plantontology.org - https://biosharing.org/bsg-000633."},"legacy_ids":["bsg-002604","bsg-s002604"],"name":"FAIRsharing record for: Plant Structure Development Stage","abbreviation":"PO PSDS","url":"https://fairsharing.org/10.25504/FAIRsharing.ct3xa3","doi":"10.25504/FAIRsharing.ct3xa3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A controlled vocabulary of growth and developmental stages in various plants. Note that this has been subsumed into the Plant Ontology (PO).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Structure","Life cycle","Life cycle stage"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1809,"pubmed_id":18194960,"title":"The Plant Ontology Database: a community resource for plant structure and developmental stages controlled vocabulary and annotations.","year":2008,"url":"http://doi.org/10.1093/nar/gkm908","authors":"Avraham S,Tung CW,Ilic K,Jaiswal P,Kellogg EA,McCouch S,Pujar A,Reiser L,Rhee SY,Sachs MM,Schaeffer M,Stein L,Stevens P,Vincent L,Zapata F,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm908","created_at":"2021-09-30T08:25:43.061Z","updated_at":"2021-09-30T11:29:21.185Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1616,"relation":"undefined"},{"licence_name":"Planteome Disclaimer","licence_id":671,"licence_url":"http://planteome.org/disclaimer","link_id":1615,"relation":"undefined"}],"grants":[{"id":7135,"fairsharing_record_id":1285,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:26.971Z","updated_at":"2021-09-30T09:28:26.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7134,"fairsharing_record_id":1285,"organisation_id":2336,"relation":"maintains","created_at":"2021-09-30T09:28:26.939Z","updated_at":"2021-09-30T09:28:26.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2336,"name":"PO Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1277","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T10:07:03.000Z","updated_at":"2022-07-19T16:58:55.120Z","metadata":{"doi":"10.25504/FAIRsharing.b5cc91","name":"Extensible Markup Language","status":"ready","contacts":[{"contact_name":"Tim Bray","contact_email":"tbray@textuality.com"}],"homepage":"https://www.w3.org/TR/xml/","citations":[],"identifier":1277,"description":"The Extensible Markup Language (XML) describes a class of data objects called XML documents and partially describes the behavior of computer programs which process them. XML is an application profile or restricted form of SGML, the Standard Generalized Markup Language [ISO 8879]. By construction, XML documents are conforming SGML documents. XML documents are made up of storage units called entities, which contain either parsed or unparsed data. Parsed data is made up of characters, some of which form character data, and some of which form markup. Markup encodes a description of the document's storage layout and logical structure. XML provides a mechanism to impose constraints on the storage layout and logical structure.","abbreviation":"XML","support_links":[{"url":"xml-editor@w3.org","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/XML","name":"XML - Wikipedia","type":"Wikipedia"}],"year_creation":2008},"legacy_ids":["bsg-001143","bsg-s001143"],"name":"FAIRsharing record for: Extensible Markup Language","abbreviation":"XML","url":"https://fairsharing.org/10.25504/FAIRsharing.b5cc91","doi":"10.25504/FAIRsharing.b5cc91","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Extensible Markup Language (XML) describes a class of data objects called XML documents and partially describes the behavior of computer programs which process them. XML is an application profile or restricted form of SGML, the Standard Generalized Markup Language [ISO 8879]. By construction, XML documents are conforming SGML documents. XML documents are made up of storage units called entities, which contain either parsed or unparsed data. Parsed data is made up of characters, some of which form character data, and some of which form markup. Markup encodes a description of the document's storage layout and logical structure. XML provides a mechanism to impose constraints on the storage layout and logical structure.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18267},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12124}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Structured data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1473,"relation":"undefined"}],"grants":[{"id":7124,"fairsharing_record_id":1277,"organisation_id":3211,"relation":"maintains","created_at":"2021-09-30T09:28:26.641Z","updated_at":"2021-09-30T09:28:26.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":3211,"name":"W3C XML Core Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1278","type":"fairsharing_records","attributes":{"created_at":"2018-02-09T14:13:16.000Z","updated_at":"2022-07-20T10:42:13.824Z","metadata":{"doi":"10.25504/FAIRsharing.ae8hpt","name":"Descriptive Ontology for Linguistic and Cognitive Engineering","status":"ready","contacts":[{"contact_email":"nicola.guarino@loa.istc.cnr.it"}],"homepage":"http://www.loa.istc.cnr.it/dolce/overview.html","citations":[],"identifier":1278,"description":"DOLCE (Descriptive Ontology for Linguistic and Cognitive Engineering) is a foundational ontology developed as part of the WonderWeb Foundational Ontologies Library (WFOL). The development of this library has been guided by the need of a reliable set of foundational ontologies that can serve as 1) astarting point for building other ontologies, 2) a reference point for easy and rigorous comparisons among different ontological approaches, and 3) a rigorous basis for analyzing, harmonizing and integrating existing ontologies and metadata standards (by manually mapping them into some general module(s) in the library). DOLCE is the first module of WFOL and it is not a candidate for a universal standard ontology. Rather, it is intended as a starting point for comparing and elucidating the relationships with the other modules of the library, and also for clarifying the hidden assumptions underlying existing ontologies or linguistic resources such as WordNet. As reflected by its acronym, DOLCE has a clear cognitive bias, in the sense that it aims at capturing the ontological categories underlying natural language and human commonsense. DOLCE is an ontology that focuses on particulars in the sense that its domain of discourse is restricted to them. The project is complete, though the ontology remains available for use.","abbreviation":"DOLCE","support_links":[{"url":"https://cordis.europa.eu/result/rcn/41438_en.html","name":"WONDERWEB Report Summary: DOLCE","type":"Help documentation"},{"url":"http://wonderweb.man.ac.uk/deliverables/documents/D18.pdf","name":"WonderWeb Deliverable D18 Ontology Library (final)","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-001128","bsg-s001128"],"name":"FAIRsharing record for: Descriptive Ontology for Linguistic and Cognitive Engineering","abbreviation":"DOLCE","url":"https://fairsharing.org/10.25504/FAIRsharing.ae8hpt","doi":"10.25504/FAIRsharing.ae8hpt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DOLCE (Descriptive Ontology for Linguistic and Cognitive Engineering) is a foundational ontology developed as part of the WonderWeb Foundational Ontologies Library (WFOL). The development of this library has been guided by the need of a reliable set of foundational ontologies that can serve as 1) astarting point for building other ontologies, 2) a reference point for easy and rigorous comparisons among different ontological approaches, and 3) a rigorous basis for analyzing, harmonizing and integrating existing ontologies and metadata standards (by manually mapping them into some general module(s) in the library). DOLCE is the first module of WFOL and it is not a candidate for a universal standard ontology. Rather, it is intended as a starting point for comparing and elucidating the relationships with the other modules of the library, and also for clarifying the hidden assumptions underlying existing ontologies or linguistic resources such as WordNet. As reflected by its acronym, DOLCE has a clear cognitive bias, in the sense that it aims at capturing the ontological categories underlying natural language and human commonsense. DOLCE is an ontology that focuses on particulars in the sense that its domain of discourse is restricted to them. The project is complete, though the ontology remains available for use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Computer Science","Subject Agnostic","Linguistics"],"domains":["Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[],"licence_links":[],"grants":[{"id":7126,"fairsharing_record_id":1278,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:26.712Z","updated_at":"2021-09-30T09:32:26.920Z","grant_id":1624,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"FP5-IST","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7125,"fairsharing_record_id":1278,"organisation_id":1667,"relation":"maintains","created_at":"2021-09-30T09:28:26.680Z","updated_at":"2022-02-09T11:29:04.273Z","grant_id":null,"is_lead":true,"saved_state":{"id":1667,"name":"Laboratory for Applied Ontology, CNR, Italy","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1279","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:35:08.767Z","metadata":{"doi":"10.25504/FAIRsharing.8z3xzh","name":"Minimum Information about a Molecular Interaction Experiment","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"psi-mi@ebi.ac.uk"}],"homepage":"https://www.psidev.info/mimix","citations":[{"doi":"10.1038/nbt1324","pubmed_id":17687370,"publication_id":2402}],"identifier":1279,"description":"MIMIx is a community guideline advising the user on how to fully describe a molecular interaction experiment and which information it is important to capture. The document is designed as a compromise between the necessary depth of information to describe all relevant aspects of the interaction experiment, and the reporting burden placed on the scientist generating the data.","abbreviation":"MIMIx","support_links":[{"url":"http://www.psidev.info/groups/molecular-interactions/documents","name":"HUPO-PSI related documents","type":"Help documentation"}],"year_creation":2007,"associated_tools":[{"url":"https://www.ebi.ac.uk/intact/validator/start.xhtml","name":"PSI-MI Validator"},{"url":"https://github.com/PSICQUIC","name":"PSICQUIC"}]},"legacy_ids":["bsg-000179","bsg-s000179"],"name":"FAIRsharing record for: Minimum Information about a Molecular Interaction Experiment","abbreviation":"MIMIx","url":"https://fairsharing.org/10.25504/FAIRsharing.8z3xzh","doi":"10.25504/FAIRsharing.8z3xzh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIMIx is a community guideline advising the user on how to fully describe a molecular interaction experiment and which information it is important to capture. The document is designed as a compromise between the necessary depth of information to describe all relevant aspects of the interaction experiment, and the reporting burden placed on the scientist generating the data.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11161},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11436},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11593},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11717}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Proteomics","Life Science"],"domains":["Deoxyribonucleic acid","Lipid","Chemical entity","Interactome","Molecular interaction","Assay","Protein"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["Austria","Canada","France","Germany","Italy","Singapore","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":2402,"pubmed_id":17687370,"title":"The minimum information required for reporting a molecular interaction experiment (MIMIx).","year":2007,"url":"http://doi.org/10.1038/nbt1324","authors":"Orchard S,Salwinski L,Kerrien S et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt1324","created_at":"2021-09-30T08:26:54.868Z","updated_at":"2021-09-30T08:26:54.868Z"}],"licence_links":[],"grants":[{"id":7127,"fairsharing_record_id":1279,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:26.735Z","updated_at":"2021-09-30T09:28:26.735Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7128,"fairsharing_record_id":1279,"organisation_id":1076,"relation":"maintains","created_at":"2021-09-30T09:28:26.761Z","updated_at":"2021-09-30T09:28:26.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":1076,"name":"Functional Genomics Group, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1286","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:50:48.986Z","metadata":{"doi":"10.25504/FAIRsharing.dpkb5f","name":"Semanticscience Integrated Ontology","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com","contact_orcid":"0000-0003-4727-9435"}],"homepage":"https://github.com/MaastrichtU-IDS/semanticscience","citations":[{"doi":"10.1186/2041-1480-5-14","pubmed_id":24602174,"publication_id":1151}],"identifier":1286,"description":"The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. It provides vocabulary for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects.","abbreviation":"SIO","support_links":[{"url":"https://github.com/MaastrichtU-IDS/semanticscience/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SIO","name":"SIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002686","bsg-s002686"],"name":"FAIRsharing record for: Semanticscience Integrated Ontology","abbreviation":"SIO","url":"https://fairsharing.org/10.25504/FAIRsharing.dpkb5f","doi":"10.25504/FAIRsharing.dpkb5f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The semanticscience integrated ontology (SIO) provides a simple, integrated upper level ontology (types, relations) for consistent knowledge representation across physical, processual and informational entities. It provides vocabulary for the Bio2RDF (http://bio2rdf.org) and SADI (http://sadiframework.org) projects.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11194},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16988}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science","Subject Agnostic"],"domains":["Knowledge representation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Japan","United States","European Union"],"publications":[{"id":1151,"pubmed_id":24602174,"title":"The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-14","authors":"Dumontier M, Baker CJ, Baran J, Callahan A, Chepelev L, Cruz-Toledo J, Del Rio NR, Duck G, Furlong LI, Keath N, Klassen D, McCusker JP, Queralt-Rosinach N, Samwald M, Villanueva-Rosales N, Wilkinson MD, Hoehndorf R.","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-14","created_at":"2021-09-30T08:24:27.966Z","updated_at":"2021-09-30T08:24:27.966Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1745,"relation":"undefined"}],"grants":[{"id":7136,"fairsharing_record_id":1286,"organisation_id":674,"relation":"maintains","created_at":"2021-09-30T09:28:27.008Z","updated_at":"2021-09-30T09:28:27.008Z","grant_id":null,"is_lead":false,"saved_state":{"id":674,"name":"Department of Biology, Carleton University, Ottawa, ON, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7137,"fairsharing_record_id":1286,"organisation_id":1739,"relation":"maintains","created_at":"2021-09-30T09:28:27.050Z","updated_at":"2021-09-30T09:28:27.050Z","grant_id":null,"is_lead":true,"saved_state":{"id":1739,"name":"Maastricht University (UM), Maastricht, The Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1390","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:01:28.560Z","metadata":{"doi":"10.25504/FAIRsharing.n7src9","name":"Minimum Information Required for A Glycomics Experiment - Mass Spectrometric Analysis","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/mirage/guidelines#mass_spectrometric_analysis","citations":[],"identifier":1390,"description":"MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. Researchers seeking to understand the biochemical structure–function relationships of carbohydrates require detailed descriptions of the assay conditions and the experimental results. Currently, these data are insufficiently reported in the literature. A basic description on the sample preparation workflow is required. In contrast to proteomics, different types of glycoconjugates require partially different release approaches, which in turn can have direct influence on the following conditions/parameters: released glycans or still attached to protein/lipid; type of glycan (N-glycan, O-glycan, proteoglycan fragment); and sample pre-treatment prior MS-Analyses (non, reduced, permethylated, endo/exoglycosidase digested, fluorescent label, online/offline LC-separation).","abbreviation":"MIRAGE MS","year_creation":2013},"legacy_ids":["bsg-000523","bsg-s000523"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Mass Spectrometric Analysis","abbreviation":"MIRAGE MS","url":"https://fairsharing.org/10.25504/FAIRsharing.n7src9","doi":"10.25504/FAIRsharing.n7src9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. Researchers seeking to understand the biochemical structure–function relationships of carbohydrates require detailed descriptions of the assay conditions and the experimental results. Currently, these data are insufficiently reported in the literature. A basic description on the sample preparation workflow is required. In contrast to proteomics, different types of glycoconjugates require partially different release approaches, which in turn can have direct influence on the following conditions/parameters: released glycans or still attached to protein/lipid; type of glycan (N-glycan, O-glycan, proteoglycan fragment); and sample pre-treatment prior MS-Analyses (non, reduced, permethylated, endo/exoglycosidase digested, fluorescent label, online/offline LC-separation).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12033}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Glycomics"],"domains":["Mass spectrum","Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","United Kingdom","United States"],"publications":[{"id":682,"pubmed_id":24653214,"title":"MIRAGE: The minimum information required for a glycomics experiment","year":2014,"url":"http://doi.org/10.1093/glycob/cwu018","authors":"York WS, Agravat S, Aoki-Kinoshita KF et al.","journal":"Glycobiology","doi":"10.1093/glycob/cwu018","created_at":"2021-09-30T08:23:35.195Z","updated_at":"2021-09-30T08:23:35.195Z"},{"id":2861,"pubmed_id":27654115,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: sample preparation guidelines for reliable reporting of glycomics datasets.","year":2016,"url":"http://doi.org/10.1093/glycob/cww082","authors":"Struwe WB,Agravat S,Aoki-Kinoshita KF,Campbell MP,Costello CE,Dell A,Ten Feizi,Haslam SM,Karlsson NG,Khoo KH,Kolarich D,Liu Y,McBride R,Novotny MV,Packer NH,Paulson JC,Rapp E,Ranzinger R,Rudd PM,Smith DF,Tiemeyer M,Wells L,York WS,Zaia J,Kettner C","journal":"Glycobiology","doi":"10.1093/glycob/cww082.","created_at":"2021-09-30T08:27:52.015Z","updated_at":"2021-09-30T08:27:52.015Z"},{"id":2868,"pubmed_id":23378518,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting mass-spectrometry-based glycoanalytic data","year":2013,"url":"http://doi.org/10.1074/mcp.O112.026492","authors":"Kolarich D, Rapp E, Struwe WB, Haslam SM, Zaia J, McBride R, Agravat S, Campbell MP, Kato M, Ranzinger R, Kettner C, York WS","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.O112.026492","created_at":"2021-09-30T08:27:53.032Z","updated_at":"2021-09-30T08:27:53.032Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1327,"relation":"undefined"}],"grants":[{"id":7360,"fairsharing_record_id":1390,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:34.925Z","updated_at":"2021-09-30T09:28:34.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7357,"fairsharing_record_id":1390,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:34.845Z","updated_at":"2021-09-30T09:28:34.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7358,"fairsharing_record_id":1390,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:34.869Z","updated_at":"2021-09-30T09:28:34.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7361,"fairsharing_record_id":1390,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:34.963Z","updated_at":"2021-09-30T09:28:34.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7359,"fairsharing_record_id":1390,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:34.894Z","updated_at":"2021-09-30T09:28:53.816Z","grant_id":5,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","grant":"MIRAGE","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWU09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8df5a63d3423510fe1de540af356a00b0c6a87b0/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1391","type":"fairsharing_records","attributes":{"created_at":"2020-05-11T07:14:45.000Z","updated_at":"2022-07-20T12:31:09.423Z","metadata":{"doi":"10.25504/FAIRsharing.grL0zu","name":"ObjTables Schemas","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"https://www.objtables.org/docs#schema-formats","identifier":1391,"description":"ObjTables Schemas allow the creation of re-usable datasets that are both human and machine-readable, combining the ease of spreadsheets (e.g., Excel workbooks) with the rigour of schemas (classes, their attributes, the type of each attribute, and the possible relationships between instances of classes). ObjTables schemas can either be defined with a tabular format or with the ObjTables Python package. The tabular format is easy to use, and requires no programming. The tabular format supports most of the features of ObjTables, including a wide range of data types, relationships, transposed and embedded tables, single inheritance, and basic validation. The ObjTables Python package is more flexible. ObjTables is ideal for supplementary materials of journal article, as well as for emerging domains which need to quickly build new formats for new types of data and associated software with minimal effort.","abbreviation":"ObjTables Schemas","support_links":[{"url":"https://www.objtables.org/docs","name":"Examples and documentation","type":"Help documentation"},{"url":"https://docs.karrlab.org/obj_tables","name":"Documentation for the Python package","type":"Help documentation"},{"url":"https://sandbox.karrlab.org/tree/obj_tables","name":"Tutorials for the Python package","type":"Training documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://pypi.org/project/obj-tables/","name":"ObjTables command-line program and Python package 1.0.0"},{"url":"https://www.objtables.org/app","name":"ObjTables web application 1.0.0"}]},"legacy_ids":["bsg-001476","bsg-s001476"],"name":"FAIRsharing record for: ObjTables Schemas","abbreviation":"ObjTables Schemas","url":"https://fairsharing.org/10.25504/FAIRsharing.grL0zu","doi":"10.25504/FAIRsharing.grL0zu","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ObjTables Schemas allow the creation of re-usable datasets that are both human and machine-readable, combining the ease of spreadsheets (e.g., Excel workbooks) with the rigour of schemas (classes, their attributes, the type of each attribute, and the possible relationships between instances of classes). ObjTables schemas can either be defined with a tabular format or with the ObjTables Python package. The tabular format is easy to use, and requires no programming. The tabular format supports most of the features of ObjTables, including a wide range of data types, relationships, transposed and embedded tables, single inheritance, and basic validation. The ObjTables Python package is more flexible. ObjTables is ideal for supplementary materials of journal article, as well as for emerging domains which need to quickly build new formats for new types of data and associated software with minimal effort.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Quality","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["object-relational mapping","Structured data"],"countries":["France","Germany","United States"],"publications":[],"licence_links":[{"licence_name":"ObjTables MIT License","licence_id":607,"licence_url":"https://github.com/KarrLab/obj_tables/blob/master/LICENSE","link_id":1375,"relation":"undefined"}],"grants":[{"id":7365,"fairsharing_record_id":1391,"organisation_id":1627,"relation":"maintains","created_at":"2021-09-30T09:28:35.117Z","updated_at":"2021-09-30T09:28:35.117Z","grant_id":null,"is_lead":true,"saved_state":{"id":1627,"name":"Karr Lab, Institute for Multiscale Biology \u0026 Genomics, New York, NY, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":7362,"fairsharing_record_id":1391,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:34.996Z","updated_at":"2021-09-30T09:30:10.571Z","grant_id":585,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R35GM119771","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7364,"fairsharing_record_id":1391,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:35.076Z","updated_at":"2021-09-30T09:31:40.284Z","grant_id":1276,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1649014","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7363,"fairsharing_record_id":1391,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:28:35.034Z","updated_at":"2021-09-30T09:32:45.208Z","grant_id":1762,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41EB023912","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1392","type":"fairsharing_records","attributes":{"created_at":"2020-01-27T14:24:09.000Z","updated_at":"2022-07-20T12:19:06.938Z","metadata":{"doi":"10.25504/FAIRsharing.k7NfCn","name":"Wheat Trait Ontology","status":"ready","contacts":[{"contact_name":"Claire Nedellec","contact_email":"claire.nedellec@inrae.fr","contact_orcid":"0000-0002-0577-0595"}],"homepage":"https://doi.org/10.15454/1.4382637738008071E12","citations":[{"doi":"https://doi.org/10.5808/GI.2020.18.2.e14","publication_id":3005}],"identifier":1392,"description":"Wheat Trait Ontology is an ontology of wheat traits and environmental factors that affect these traits. They include resistance to disease, development, nutrition, bread quality, etc. Environmental factors include biotic and abiotic factors. An alternative title is the Wheat Phenotype Ontology.","abbreviation":"WTO","year_creation":2011},"legacy_ids":["bsg-001439","bsg-s001439"],"name":"FAIRsharing record for: Wheat Trait Ontology","abbreviation":"WTO","url":"https://fairsharing.org/10.25504/FAIRsharing.k7NfCn","doi":"10.25504/FAIRsharing.k7NfCn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Wheat Trait Ontology is an ontology of wheat traits and environmental factors that affect these traits. They include resistance to disease, development, nutrition, bread quality, etc. Environmental factors include biotic and abiotic factors. An alternative title is the Wheat Phenotype Ontology.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16731}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Plant Nutrition","Plant Breeding","Food Process Engineering","Agriculture"],"domains":["Food","Disease","Plant development stage"],"taxonomies":["Triticum aestivum"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":3003,"pubmed_id":null,"title":"Information Extraction from Bibliography for Marker-Assisted Selection in Wheat","year":2014,"url":"https://doi.org/10.1007/978-3-319-13674-5_28","authors":"Claire Nédellec,Robert Bossy,Dialekti Valsamou,Marion Ranoux,Wiktoria Golik,Pierre Sourdille","journal":"Closs S., Studer R., Garoufallou E., Sicilia MA. (eds) Metadata and Semantics Research. MTSR 2014. Communications in Computer and Information Science, vol 478. Springer, Cham","doi":null,"created_at":"2021-09-30T08:28:10.240Z","updated_at":"2021-09-30T08:28:10.240Z"},{"id":3005,"pubmed_id":null,"title":"WTO, an ontology for wheat traits and phenotypes in scientific publications","year":2020,"url":"http://doi.org/https://doi.org/10.5808/GI.2020.18.2.e14","authors":"Claire Nédellec, Liliana Ibanescu, Robert Bossy, Pierre Sourdille","journal":"Genomics \u0026 Informatics","doi":"https://doi.org/10.5808/GI.2020.18.2.e14","created_at":"2021-09-30T08:28:10.516Z","updated_at":"2021-09-30T08:28:10.516Z"}],"licence_links":[{"licence_name":"Licence Ouverte / Open Licence Version 2.0 compatible CC BY 4.0","licence_id":488,"licence_url":"https://www.etalab.gouv.fr/licence-ouverte-open-licence","link_id":1981,"relation":"undefined"}],"grants":[{"id":7366,"fairsharing_record_id":1392,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:35.155Z","updated_at":"2021-09-30T09:28:35.155Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1393","type":"fairsharing_records","attributes":{"created_at":"2020-12-14T10:47:43.000Z","updated_at":"2022-07-20T10:05:06.757Z","metadata":{"doi":"10.25504/FAIRsharing.81dc5f","name":"UNESCO Thesaurus","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"vocabularies@unesco.org"}],"homepage":"http://vocabularies.unesco.org","citations":[],"identifier":1393,"description":"The UNESCO Thesaurus is a controlled and structured list of concepts used in subject analysis and retrieval of documents and publications in the fields of education, culture, natural sciences, social and human sciences, communication and information. Continuously enriched and updated, its multidisciplinary terminology reflects the evolution of UNESCO's programmes and activities. It is available in English, French, Spanish, Russian, and Arabic.","abbreviation":"UNESCO Thesaurus","support_links":[{"url":"https://lists.unesco.org/wws/subscribe/thesaurus-users","name":"Mailing List","type":"Mailing list"},{"url":"http://vocabularies.unesco.org/browser/en/about","name":"About","type":"Help documentation"},{"url":"http://vocabularies.unesco.org/documents/thesaurusintroeng.pdf","name":"Introduction to the UNESCO Thesaurus","type":"Help documentation"}],"year_creation":1977},"legacy_ids":["bsg-001565","bsg-s001565"],"name":"FAIRsharing record for: UNESCO Thesaurus","abbreviation":"UNESCO Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.81dc5f","doi":"10.25504/FAIRsharing.81dc5f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UNESCO Thesaurus is a controlled and structured list of concepts used in subject analysis and retrieval of documents and publications in the fields of education, culture, natural sciences, social and human sciences, communication and information. Continuously enriched and updated, its multidisciplinary terminology reflects the evolution of UNESCO's programmes and activities. It is available in English, French, Spanish, Russian, and Arabic.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Education Science","Subject Agnostic","Political Science","Communication Science"],"domains":["Report","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 IGO (CC BY-SA 3.0 IGO)","licence_id":192,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/igo/","link_id":2239,"relation":"undefined"}],"grants":[{"id":7367,"fairsharing_record_id":1393,"organisation_id":2925,"relation":"maintains","created_at":"2021-09-30T09:28:35.192Z","updated_at":"2021-09-30T09:28:35.192Z","grant_id":null,"is_lead":true,"saved_state":{"id":2925,"name":"United Nations Education, Scientific and Cultural Organization (UNESCO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1394","type":"fairsharing_records","attributes":{"created_at":"2020-06-12T13:01:10.000Z","updated_at":"2021-11-24T13:15:41.572Z","metadata":{"name":"Marinet2 metadata schema","status":"in_development","contacts":[{"contact_name":"Nikola Vasiljevic","contact_email":"niva@dtu.dk","contact_orcid":"0000-0002-9381-9693"}],"homepage":"https://github.com/Marinet2/metadata-schema","identifier":1394,"description":"Marinet2 metadata schema for data streams (i.e., variables) and datasets (collection of data streams) for preparing datasets in NetCDF format for publishing and preservation.","abbreviation":null,"support_links":[{"url":"https://github.com/Marinet2/metadata-schema","name":"Issue posting","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001497","bsg-s001497"],"name":"FAIRsharing record for: Marinet2 metadata schema","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/1394","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Marinet2 metadata schema for data streams (i.e., variables) and datasets (collection of data streams) for preparing datasets in NetCDF format for publishing and preservation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Maritime Engineering","Energy Engineering","Electrical Engineering","Earth Science","Atmospheric Science"],"domains":["Marine environment"],"taxonomies":[],"user_defined_tags":["wind energy"],"countries":["Denmark","France","Spain"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1867,"relation":"undefined"}],"grants":[{"id":7368,"fairsharing_record_id":1394,"organisation_id":1765,"relation":"maintains","created_at":"2021-09-30T09:28:35.234Z","updated_at":"2021-09-30T09:28:35.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":1765,"name":"Marinet2","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7369,"fairsharing_record_id":1394,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:35.273Z","updated_at":"2021-09-30T09:31:55.636Z","grant_id":1390,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"731084","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1363","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:35:32.174Z","metadata":{"doi":"10.25504/FAIRsharing.es03fk","name":"Nuclear Magnetic Resonance Markup Language","status":"ready","contacts":[{"contact_name":"Daniel Schober","contact_email":"info@nmrml.org","contact_orcid":"0000-0001-8014-6648"}],"homepage":"http://nmrml.org","citations":[],"identifier":1363,"description":"nmrML is an open markup language for NMR raw and spectral data. It is has recently seen its first proper release, ready for public use. The primary development of this standard, initiated by the Coordination of Standards in Metabolomics’ (COSMOS) project, is now maintained within the PhenoMeNal Eu project tasked to disseminate metabolomics data through life science e-infrastructures. The nmrML data standard is approved by the Metabolomics Standards Initiative (MSI) and was derived from an earlier nmrML that was developed by the Metabolomics Innovation Centre (TMIC). It follows design principles of its role model, the mzML data standard created by PSI for mass spectrometry.","abbreviation":"NMR-ML","support_links":[{"url":"https://groups.google.com/forum/?hl=en#!forum/nmrml/join","name":"nmrML Google Group","type":"Forum"},{"url":"https://github.com/nmrML/nmrML","name":"nmrML on GitHub","type":"Github"},{"url":"https://github.com/nmrML/nmrML/wiki","name":"nmrML Wiki","type":"Github"},{"url":"http://nmrml.org/examples/","name":"nmrML Examples","type":"Help documentation"},{"url":"http://nmrml.org/tutorials/","name":"nmrML Tutorials","type":"Training documentation"},{"url":"https://github.com/organizations/nmrML","name":"nmrML Development News Feed","type":"Blog/News"}],"year_creation":2015,"associated_tools":[{"url":"http://nmrml.org/converter/","name":"Converter"},{"url":"http://nmrml.org/validator/","name":"Validator"},{"url":"https://github.com/ISA-tools/nmrml2isa","name":"nmrML2Isa"},{"url":"https://www.nmrprocflow.org/","name":"nmrProcFlow"}]},"legacy_ids":["bsg-000563","bsg-s000563"],"name":"FAIRsharing record for: Nuclear Magnetic Resonance Markup Language","abbreviation":"NMR-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.es03fk","doi":"10.25504/FAIRsharing.es03fk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: nmrML is an open markup language for NMR raw and spectral data. It is has recently seen its first proper release, ready for public use. The primary development of this standard, initiated by the Coordination of Standards in Metabolomics’ (COSMOS) project, is now maintained within the PhenoMeNal Eu project tasked to disseminate metabolomics data through life science e-infrastructures. The nmrML data standard is approved by the Metabolomics Standards Initiative (MSI) and was derived from an earlier nmrML that was developed by the Metabolomics Innovation Centre (TMIC). It follows design principles of its role model, the mzML data standard created by PSI for mass spectrometry.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10916},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11036},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11286},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11729}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Metabolomics","Analytical Chemistry","Omics"],"domains":["Chemical structure","Analysis","Bioimaging","Chemical entity","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Omics data analysis","Small molecule"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France","Germany","Italy","Japan","Netherlands","United Kingdom"],"publications":[{"id":1991,"pubmed_id":29035042,"title":"nmrML: A Community Supported Open Data Standard for the Description, Storage, and Exchange of NMR Data.","year":2017,"url":"http://doi.org/10.1021/acs.analchem.7b02795","authors":"Schober D1, Jacob D2, Wilson M3, Cruz JA3, Marcu A3, Grant JR3, Moing A2, Deborde C2, de Figueiredo LF4, Haug K4, Rocca-Serra P5, Easton J6, Ebbels TMD7, Hao J7, Ludwig C8, Günther UL9, Rosato A10, Klein MS11, Lewis IA11, Luchinat C10, Jones AR12, Grauslys A12, Larralde M13, Yokochi M14, Kobayashi N14, Porzel A15, Griffin JL16, Viant MR17, Wishart DS3, Steinbeck C4, Salek RM4, Neumann S1","journal":"Anal. Chem.","doi":"10.1021/acs.analchem.7b02795","created_at":"2021-09-30T08:26:04.124Z","updated_at":"2021-09-30T08:26:04.124Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":952,"relation":"undefined"}],"grants":[{"id":11652,"fairsharing_record_id":1363,"organisation_id":917,"relation":"funds","created_at":"2024-03-29T14:00:18.622Z","updated_at":"2024-03-29T14:00:18.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11651,"fairsharing_record_id":1363,"organisation_id":1822,"relation":"associated_with","created_at":"2024-03-29T14:00:18.619Z","updated_at":"2024-03-29T14:00:18.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":1822,"name":"Metabolomics Standards Initiative (MSI)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11653,"fairsharing_record_id":1363,"organisation_id":2380,"relation":"associated_with","created_at":"2024-03-29T14:40:15.367Z","updated_at":"2024-03-29T14:40:15.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1364","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:03:05.000Z","updated_at":"2022-12-13T10:26:42.247Z","metadata":{"doi":"10.25504/FAIRsharing.5suBHK","name":"IVOA Spectral Data Model","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/SpectralDM/index.html","citations":[{"publication_id":2946}],"identifier":1364,"description":"The IVOA Spectral Data Model is a data model describing the structure of spectrophotometric datasets with spectral and temporal coordinates and associated metadata. This data model may be used to represent spectra, time series data, segments of SED (Spectral Energy Distributions) and other spectral or temporal associations. Work on this Data model has concluded. The development of component models DatasetMetadata, NDCube, and STC2 form a basis set of models on which this specification should be built. It was decided that the timescale between the release of this model and the subsequent conversion to the component model basis is too short to warrant moving forward. Upon the release of the above component models, it is expected that the Spectral model will be revisited, possibly expanding the scope to cover other products such as Eschelle spectra and TimeSeries. This document should serve as a guide for that work. The content of this model satisfies the requirements for which it was generated, so a simple translation of concepts should be a good starting point.","abbreviation":"SpectralDM","year_creation":2016},"legacy_ids":["bsg-001166","bsg-s001166"],"name":"FAIRsharing record for: IVOA Spectral Data Model","abbreviation":"SpectralDM","url":"https://fairsharing.org/10.25504/FAIRsharing.5suBHK","doi":"10.25504/FAIRsharing.5suBHK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IVOA Spectral Data Model is a data model describing the structure of spectrophotometric datasets with spectral and temporal coordinates and associated metadata. This data model may be used to represent spectra, time series data, segments of SED (Spectral Energy Distributions) and other spectral or temporal associations. Work on this Data model has concluded. The development of component models DatasetMetadata, NDCube, and STC2 form a basis set of models on which this specification should be built. It was decided that the timescale between the release of this model and the subsequent conversion to the component model basis is too short to warrant moving forward. Upon the release of the above component models, it is expected that the Spectral model will be revisited, possibly expanding the scope to cover other products such as Eschelle spectra and TimeSeries. This document should serve as a guide for that work. The content of this model satisfies the requirements for which it was generated, so a simple translation of concepts should be a good starting point.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11474}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2946,"pubmed_id":null,"title":"IVOA Spectrum Data Model Version 1.1","year":2011,"url":"http://dx.doi.org/10.5479/ADS/bib/2011ivoa.spec.1120M","authors":"McDowell, Jonathan; Tody, Doug; Budavari, Tamas; Dolensky, Markus; Kamp, Inga; McCusker, Kelly; Protopapas, Pavlos; Rots, Arnold; Thompson, Randy; Valdes, Frank; Skoda, Petr; Rino, Bruno; Derriere, S; Salgado, J; Laurino, O; IVOA DAL Group; Data Model WG","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.074Z","updated_at":"2021-09-30T08:28:03.074Z"}],"licence_links":[],"grants":[{"id":7299,"fairsharing_record_id":1364,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.057Z","updated_at":"2021-09-30T09:28:33.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7300,"fairsharing_record_id":1364,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.098Z","updated_at":"2021-09-30T09:28:33.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1365","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:00:58.000Z","updated_at":"2022-12-13T10:26:30.829Z","metadata":{"doi":"10.25504/FAIRsharing.RYXNBS","name":"Space-Time Coordinate Metadata for the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/STC.html","citations":[{"publication_id":2944}],"identifier":1365,"description":"The Space-Time Coordinate (STC) metadata for the Virtual Observatory provides a standard for users to specify the spatial coordinates they work in; these will, for most astronomical users, be some flavor of equatorial coordinates. However, there are many variations, not only in terms of different equatorial systems, either from historical collections (FK1-4) or in the uses of Galactic or ecliptic coordinates, but also geographic, barycentric, planetocentric, and instrumental detector coordinates, most of them in spherical as well as Cartesian form. In addition, high-accuracy requirements and special situations such as spacecraft-based observatories create the need for specifying the origin of such coordinate frames – in most cases the location of the observatory. The same is true for time and spectral coordinates: for many applications it may not matter, but there are situations where it is crucial to know what timescale was used, where time was measured, or what inertial standard of rest was used to express the frequency. What this amounts to is that for spatial coordinates it is necessary to know the coordinate system (its type and orientation) and the origin that were used, for time the timescale (UTC, TT, TAI, TDB, etc.) and the spatial reference position, for the spectral coordinate the origin in phase space, and for redshifts (Doppler velocity) the definition as well as the phase space origin. This standard explains the various components, highlights some implementation considerations, presents a complete set of UML diagrams, and discusses the relation between STC and certain other parts of the Data Model. Two serializations are described in this standard document: XML Schema (STC-X) and String (STC-S); the former is an integral part of this Recommendation.","abbreviation":"STC","support_links":[{"url":"http://www.ivoa.net/Documents/REC/DM/STC-20071030.html","name":"View Standard","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001163","bsg-s001163"],"name":"FAIRsharing record for: Space-Time Coordinate Metadata for the Virtual Observatory","abbreviation":"STC","url":"https://fairsharing.org/10.25504/FAIRsharing.RYXNBS","doi":"10.25504/FAIRsharing.RYXNBS","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Space-Time Coordinate (STC) metadata for the Virtual Observatory provides a standard for users to specify the spatial coordinates they work in; these will, for most astronomical users, be some flavor of equatorial coordinates. However, there are many variations, not only in terms of different equatorial systems, either from historical collections (FK1-4) or in the uses of Galactic or ecliptic coordinates, but also geographic, barycentric, planetocentric, and instrumental detector coordinates, most of them in spherical as well as Cartesian form. In addition, high-accuracy requirements and special situations such as spacecraft-based observatories create the need for specifying the origin of such coordinate frames – in most cases the location of the observatory. The same is true for time and spectral coordinates: for many applications it may not matter, but there are situations where it is crucial to know what timescale was used, where time was measured, or what inertial standard of rest was used to express the frequency. What this amounts to is that for spatial coordinates it is necessary to know the coordinate system (its type and orientation) and the origin that were used, for time the timescale (UTC, TT, TAI, TDB, etc.) and the spatial reference position, for the spectral coordinate the origin in phase space, and for redshifts (Doppler velocity) the definition as well as the phase space origin. This standard explains the various components, highlights some implementation considerations, presents a complete set of UML diagrams, and discusses the relation between STC and certain other parts of the Data Model. Two serializations are described in this standard document: XML Schema (STC-X) and String (STC-S); the former is an integral part of this Recommendation.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11473}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2944,"pubmed_id":null,"title":"Space-Time Coordinate Metadata for the Virtual Observatory Version 1.33","year":2007,"url":"http://dx.doi.org/10.5479/ADS/bib/2007ivoa.spec.1030R","authors":"Rots, A. H.","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.855Z","updated_at":"2021-09-30T08:28:02.855Z"}],"licence_links":[],"grants":[{"id":7302,"fairsharing_record_id":1365,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.191Z","updated_at":"2021-09-30T09:28:33.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7301,"fairsharing_record_id":1365,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.140Z","updated_at":"2021-09-30T09:28:33.140Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1366","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:35:13.000Z","updated_at":"2022-12-13T10:26:16.418Z","metadata":{"doi":"10.25504/FAIRsharing.H4mrHs","name":"Simulation Data Access Layer","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SimDAL/index.html","citations":[{"publication_id":2939}],"identifier":1366,"description":"The Simulation Data Access Layer protocol (SimDAL) defines a set of resources and associated actions to discover and retrieve simulations and numerical models in the Virtual Observatory. SimDAL and the Simulation Data Model are dedicated to cover the needs for the publication and retrieval of any kind of simulations: N-body or MHD simulations, numerical models of astrophysical objects and processes, theoretical synthetic spectra, etc... SimDAL is divided in three parts. First, SimDAL Repositories store the descriptions of theoretical projects and numerical codes. They can be used by clients to discover theoretical services associated with projects of interest. Second, SimDAL Search services are dedicated to the discovery of precise datasets. Finally, SimDAL Data Access services are dedicated to retrieve the original simulation output data, as plain raw data or formatted datasets cut-outs. To manage any kind of data, eventually large or at high-dimensionality, the SimDAL standard lets publishers choose any underlying implementation technology.","abbreviation":"SimDAL","support_links":[{"url":"http://ivoa.net/documents/SimDAL/20170320/REC-SimDAL-1.0-20170320.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SimDAL","name":"SimDAL Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001157","bsg-s001157"],"name":"FAIRsharing record for: Simulation Data Access Layer","abbreviation":"SimDAL","url":"https://fairsharing.org/10.25504/FAIRsharing.H4mrHs","doi":"10.25504/FAIRsharing.H4mrHs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simulation Data Access Layer protocol (SimDAL) defines a set of resources and associated actions to discover and retrieve simulations and numerical models in the Virtual Observatory. SimDAL and the Simulation Data Model are dedicated to cover the needs for the publication and retrieval of any kind of simulations: N-body or MHD simulations, numerical models of astrophysical objects and processes, theoretical synthetic spectra, etc... SimDAL is divided in three parts. First, SimDAL Repositories store the descriptions of theoretical projects and numerical codes. They can be used by clients to discover theoretical services associated with projects of interest. Second, SimDAL Search services are dedicated to the discovery of precise datasets. Finally, SimDAL Data Access services are dedicated to retrieve the original simulation output data, as plain raw data or formatted datasets cut-outs. To manage any kind of data, eventually large or at high-dimensionality, the SimDAL standard lets publishers choose any underlying implementation technology.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11479}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2939,"pubmed_id":null,"title":"Simulation Data Access Layer Version 1.0","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0320L","authors":"Languignon, David; Le Petit, Franck; Rodrigo, Carlos; Lemson, Gerard; Molinaro, Marco; Wozniak, Hervé","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.225Z","updated_at":"2021-09-30T08:28:02.225Z"}],"licence_links":[],"grants":[{"id":7303,"fairsharing_record_id":1366,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.217Z","updated_at":"2021-09-30T09:28:33.217Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7304,"fairsharing_record_id":1366,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.241Z","updated_at":"2021-09-30T09:28:33.241Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1375","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:43:59.000Z","updated_at":"2022-12-14T08:16:16.053Z","metadata":{"doi":"10.25504/FAIRsharing.QXwmj1","name":"Simple Image Access Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/SIA/","citations":[{"publication_id":2920}],"identifier":1375,"description":"The Simple Image Access protocol (SIA) provides capabilities for the discovery, description, access, and retrieval of multi-dimensional image datasets, including 2-D images as well as datacubes of three or more dimensions. SIA data discovery is based on the ObsCore Data Model (ObsCoreDM), which primarily describes data products by the physical axes (spatial, spectral, time, and polarization). Image datasets with dimension greater than 2 are often referred to as datacubes, cube or image cube datasets and may be considered examples of hypercube or n-cube data. In this document the term “image” refers to general multi-dimensional datasets and is synonymous with these other terms unless the image dimensionality is otherwise specified. SIA provides capabilities for image discovery and access. Data discovery and metadata access (using ObsCoreDM) are defined here. The capabilities for drilling down to data files (and related resources) and services for remote access are defined elsewhere, but SIA also allows for direct access to retrieval.","abbreviation":"SIA","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SiaInterface","name":"SIA Wiki","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-001154","bsg-s001154"],"name":"FAIRsharing record for: Simple Image Access Protocol","abbreviation":"SIA","url":"https://fairsharing.org/10.25504/FAIRsharing.QXwmj1","doi":"10.25504/FAIRsharing.QXwmj1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Image Access protocol (SIA) provides capabilities for the discovery, description, access, and retrieval of multi-dimensional image datasets, including 2-D images as well as datacubes of three or more dimensions. SIA data discovery is based on the ObsCore Data Model (ObsCoreDM), which primarily describes data products by the physical axes (spatial, spectral, time, and polarization). Image datasets with dimension greater than 2 are often referred to as datacubes, cube or image cube datasets and may be considered examples of hypercube or n-cube data. In this document the term “image” refers to general multi-dimensional datasets and is synonymous with these other terms unless the image dimensionality is otherwise specified. SIA provides capabilities for image discovery and access. Data discovery and metadata access (using ObsCoreDM) are defined here. The capabilities for drilling down to data files (and related resources) and services for remote access are defined elsewhere, but SIA also allows for direct access to retrieval.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11470}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2920,"pubmed_id":null,"title":"IVOA Simple Image Access Version 2.0","year":2015,"url":"http://dx.doi.org/10.5479/ADS/bib/2015ivoa.spec.1223D","authors":"Dowler, Patrick; Bonnarel, François; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:59.616Z","updated_at":"2021-09-30T08:27:59.616Z"}],"licence_links":[],"grants":[{"id":7324,"fairsharing_record_id":1375,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.835Z","updated_at":"2021-09-30T09:28:33.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7325,"fairsharing_record_id":1375,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.860Z","updated_at":"2021-09-30T09:28:33.860Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1376","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T12:19:24.000Z","updated_at":"2022-12-14T08:15:49.663Z","metadata":{"doi":"10.25504/FAIRsharing.eMKdXo","name":"IVOA Sky Event Reporting Metadata","status":"ready","contacts":[{"contact_name":"IVOA Time Domain Interest Group","contact_email":"voevent@ivoa.net"}],"homepage":"http://ivoa.net/documents/VOEvent/index.html","citations":[{"publication_id":2967}],"identifier":1376,"description":"VOEvent defines the content and meaning of a standard information packet for representing, transmitting, publishing and archiving information about a transient celestial event, with the implication that timely follow-up is of interest. The objective is to motivate the observation of targets-of-opportunity, to drive robotic telescopes, to trigger archive searches, and to alert the community. VOEvent is focused on the reporting of photon events, but events mediated by disparate phenomena such as neutrinos, gravitational waves, and solar or atmospheric particle bursts may also be reported. Structured data is used, rather than natural language, so that automated systems can effectively interpret VOEvent packets. Each packet may contain zero or more of the \"who, what, where, when \u0026 how\" of a detected event, but in addition, may contain a hypothesis (a \"why\") regarding the nature of the underlying physical cause of the event. Citations to previous VOEvents may be used to place each event in its correct context. Proper curation is encouraged throughout each event's life cycle from discovery through successive follow-ups. VOEvent packets gain persistent identifiers and are typically stored in databases reached via registries. VOEvent packets may therefore reference other packets in various ways. Packets are encouraged to be small and to be processed quickly. This standard does not define a transport layer or the design of clients, repositories, publishers or brokers; it does not cover policy issues such as who can publish, who can build a registry of events, who can subscribe to a particular registry, nor the intellectual property issues.","abbreviation":"VOEvent","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOEventTwoPointZero","name":"VOEvent Wiki","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-001207","bsg-s001207"],"name":"FAIRsharing record for: IVOA Sky Event Reporting Metadata","abbreviation":"VOEvent","url":"https://fairsharing.org/10.25504/FAIRsharing.eMKdXo","doi":"10.25504/FAIRsharing.eMKdXo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOEvent defines the content and meaning of a standard information packet for representing, transmitting, publishing and archiving information about a transient celestial event, with the implication that timely follow-up is of interest. The objective is to motivate the observation of targets-of-opportunity, to drive robotic telescopes, to trigger archive searches, and to alert the community. VOEvent is focused on the reporting of photon events, but events mediated by disparate phenomena such as neutrinos, gravitational waves, and solar or atmospheric particle bursts may also be reported. Structured data is used, rather than natural language, so that automated systems can effectively interpret VOEvent packets. Each packet may contain zero or more of the \"who, what, where, when \u0026 how\" of a detected event, but in addition, may contain a hypothesis (a \"why\") regarding the nature of the underlying physical cause of the event. Citations to previous VOEvents may be used to place each event in its correct context. Proper curation is encouraged throughout each event's life cycle from discovery through successive follow-ups. VOEvent packets gain persistent identifiers and are typically stored in databases reached via registries. VOEvent packets may therefore reference other packets in various ways. Packets are encouraged to be small and to be processed quickly. This standard does not define a transport layer or the design of clients, repositories, publishers or brokers; it does not cover policy issues such as who can publish, who can build a registry of events, who can subscribe to a particular registry, nor the intellectual property issues.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11472}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2967,"pubmed_id":null,"title":"Sky Event Reporting Metadata Version 2.0","year":2011,"url":"http://dx.doi.org/10.5479/ADS/bib/2011ivoa.spec.0711S","authors":"Seaman, Rob; Williams, Roy; Allan, Alasdair; Barthelmy, Scott; Bloom, Joshua; Brewer, John; Denny, Robert; Fitzpatrick, Mike; Graham, Matthew; Gray, Norman; Hessman, Frederic; Marka, Szabolcs; Rots, Arnold; Vestrand, Tom; Wozniak, Przemyslaw","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.608Z","updated_at":"2021-09-30T08:28:05.608Z"}],"licence_links":[],"grants":[{"id":7327,"fairsharing_record_id":1376,"organisation_id":1579,"relation":"maintains","created_at":"2021-09-30T09:28:33.909Z","updated_at":"2021-09-30T09:28:33.909Z","grant_id":null,"is_lead":false,"saved_state":{"id":1579,"name":"IVOA Time Domain Interest Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7326,"fairsharing_record_id":1376,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.884Z","updated_at":"2021-09-30T09:28:33.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1377","type":"fairsharing_records","attributes":{"created_at":"2018-04-17T09:54:18.000Z","updated_at":"2022-12-13T11:21:30.484Z","metadata":{"doi":"10.25504/FAIRsharing.rYgXhw","name":"Observation Data Model Core Components and its Implementation in the Table Access Protocol","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/ObsCore/index.html","citations":[{"publication_id":2947}],"identifier":1377,"description":"This document defines the core components of the Observation data model that are necessary to perform data discovery when querying data centers for astronomical observations of interest. It exposes use-cases to be carried out, explains the model and provides guidelines for its implementation as a data access service based on the Table Access Protocol (TAP). It aims at providing a simple model easy to understand and to implement by data providers that wish to publish their data into the Virtual Observatory. This interface integrates data modeling and data access aspects in a single service and is named ObsTAP. In this document, the Observation Data Model Core Components (ObsCoreDM) defines the core components of queryable metadata required for global discovery of observational data. It is meant to allow a single query to be posed to TAP services at multiple sites to perform global data discovery without having to understand the details of the services present at each site. It defines a minimal set of basic metadata and thus allows for a reasonable cost of implementation by data providers.","abbreviation":"ObsCoreDM"},"legacy_ids":["bsg-001176","bsg-s001176"],"name":"FAIRsharing record for: Observation Data Model Core Components and its Implementation in the Table Access Protocol","abbreviation":"ObsCoreDM","url":"https://fairsharing.org/10.25504/FAIRsharing.rYgXhw","doi":"10.25504/FAIRsharing.rYgXhw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document defines the core components of the Observation data model that are necessary to perform data discovery when querying data centers for astronomical observations of interest. It exposes use-cases to be carried out, explains the model and provides guidelines for its implementation as a data access service based on the Table Access Protocol (TAP). It aims at providing a simple model easy to understand and to implement by data providers that wish to publish their data into the Virtual Observatory. This interface integrates data modeling and data access aspects in a single service and is named ObsTAP. In this document, the Observation Data Model Core Components (ObsCoreDM) defines the core components of queryable metadata required for global discovery of observational data. It is meant to allow a single query to be posed to TAP services at multiple sites to perform global data discovery without having to understand the details of the services present at each site. It defines a minimal set of basic metadata and thus allows for a reasonable cost of implementation by data providers.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11476}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2947,"pubmed_id":null,"title":"Observation Data Model Core Components, its Implementation in the Table Access Protocol Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0509L","authors":"Louys, Mireille; Tody, Doug; Dowler, Patrick; Durand, Daniel; Michel, Laurent; Bonnarel, Francos; Micol, Alberto; IVOA DataModel Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.199Z","updated_at":"2021-09-30T08:28:03.199Z"}],"licence_links":[],"grants":[{"id":7329,"fairsharing_record_id":1377,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.960Z","updated_at":"2021-09-30T09:28:33.960Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7328,"fairsharing_record_id":1377,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.935Z","updated_at":"2021-09-30T09:28:33.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1378","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:44:12.000Z","updated_at":"2022-12-13T10:29:47.648Z","metadata":{"doi":"10.25504/FAIRsharing.RycpEU","name":"IVOA Registry Interfaces","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/RegistryInterface/","citations":[{"publication_id":2956}],"identifier":1378,"description":"The VO Registry provides a mechanism with which VO applications can discover and select resources that are relevant for a particular scientific problem. This specification defines the operation of this system. It is based on a general, distributed model composed of searchable and publishing registries, as introduced at the beginning of this document. The main body of the IVOA Registry Interfaces specification has three components: (a) an interface for harvesting publishing registries, which builds upon the Open Archives Initiative Protocol for Metadata Harvesting. (b) A VOResource extension for registering registry services and description of a central list of said IVOA registry services. (c) A discussion of the Registry of Registries as the root component of data discovery in the VO.","abbreviation":null,"support_links":[{"url":"http://www.ivoa.net/documents/RegistryInterface/20171010/PR-RegistryInterface-1.1-20171010.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/RI11RFC","name":"IVOA Registry Interfaces - Request for Comments (Wiki)","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/RegistryInterfacesNext","name":"IVOA Registry Interfaces - Next Version Wiki","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001197","bsg-s001197"],"name":"FAIRsharing record for: IVOA Registry Interfaces","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.RycpEU","doi":"10.25504/FAIRsharing.RycpEU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VO Registry provides a mechanism with which VO applications can discover and select resources that are relevant for a particular scientific problem. This specification defines the operation of this system. It is based on a general, distributed model composed of searchable and publishing registries, as introduced at the beginning of this document. The main body of the IVOA Registry Interfaces specification has three components: (a) an interface for harvesting publishing registries, which builds upon the Open Archives Initiative Protocol for Metadata Harvesting. (b) A VOResource extension for registering registry services and description of a central list of said IVOA registry services. (c) A discussion of the Registry of Registries as the root component of data discovery in the VO.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11488}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2956,"pubmed_id":null,"title":"Registry Interfaces Version 1.1","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0723D","authors":"Dower, Theresa; Demleitner, Markus; Benson, Kevin; Plante, Ray; Auden, Elizabeth; Graham, Matthew; Greene, Gretchen; Hill, Martin; Linde, Tony; Morris, Dave; O`Mullane, Wil; Rixon, Guy; Stébé, Aurélien; Andrews, Kona","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.324Z","updated_at":"2021-09-30T08:28:04.324Z"}],"licence_links":[],"grants":[{"id":7330,"fairsharing_record_id":1378,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.984Z","updated_at":"2021-09-30T09:28:33.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7331,"fairsharing_record_id":1378,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:34.009Z","updated_at":"2021-09-30T09:28:34.009Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1379","type":"fairsharing_records","attributes":{"created_at":"2018-04-18T12:22:45.000Z","updated_at":"2022-12-13T10:27:03.888Z","metadata":{"doi":"10.25504/FAIRsharing.OcXwxA","name":"Virtual Observatory Data Modeling Language","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/VODML/index.html","citations":[{"publication_id":2948}],"identifier":1379,"description":"The Virtual Observatory Data Modeling Language (VO-DML) defines a standard modelling language, or meta-model, for expressing data models in the IVOA. Adopting such a uniform language for all models allows these to be used in a homogeneous manner and allows a consistent definition of reuse of one model by another. The particular language defined here includes a consistent identification mechanism for model which allows these to be referenced in an explicit and uniform manner also from other contexts, in particular from othe IVOA standard formats such as VOTable. The language defined in this specification is named VO-DML (VO Data Modeling Language). VO-DML is a conceptual modeling language that is agnostic of serializations, or physical representations. This allows it to be designed to fit as many purposes as possible. VO-DML is directly based on UML, and can be seen as a particular representation of a UML2 Profile. VO-DML is restricted to describing static data structures and from UML it only uses a subset of the elements defined in its language for describing \"Class Diagrams\". Its concepts can be easily mapped to equivalent data modelling concepts in other representations such as relational databases, XML schemas and object-oriented computer languages. VO-DML has a representation as a simple XML dialect named VO-DML/XML that must be used to provide the formal representation of a VO-DML data model. VO-DML/XML aims to be concise, explicit and easy to parse and use in code that needs to interpret annotated data sets. VO-DML as described in this document is an example of a domain specific modeling language, where the domain here is defined as the set of data and meta-data structures handled in the IVOA and Astronomy at large. VO-DML provides a custom representation of such a language and as a side effect allows the creation and use of standards compliant data models outside of the IVOA standards context.","abbreviation":"VO-DML","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VODML1RFC","name":"VO-DML Wiki","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001179","bsg-s001179"],"name":"FAIRsharing record for: Virtual Observatory Data Modeling Language","abbreviation":"VO-DML","url":"https://fairsharing.org/10.25504/FAIRsharing.OcXwxA","doi":"10.25504/FAIRsharing.OcXwxA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Virtual Observatory Data Modeling Language (VO-DML) defines a standard modelling language, or meta-model, for expressing data models in the IVOA. Adopting such a uniform language for all models allows these to be used in a homogeneous manner and allows a consistent definition of reuse of one model by another. The particular language defined here includes a consistent identification mechanism for model which allows these to be referenced in an explicit and uniform manner also from other contexts, in particular from othe IVOA standard formats such as VOTable. The language defined in this specification is named VO-DML (VO Data Modeling Language). VO-DML is a conceptual modeling language that is agnostic of serializations, or physical representations. This allows it to be designed to fit as many purposes as possible. VO-DML is directly based on UML, and can be seen as a particular representation of a UML2 Profile. VO-DML is restricted to describing static data structures and from UML it only uses a subset of the elements defined in its language for describing \"Class Diagrams\". Its concepts can be easily mapped to equivalent data modelling concepts in other representations such as relational databases, XML schemas and object-oriented computer languages. VO-DML has a representation as a simple XML dialect named VO-DML/XML that must be used to provide the formal representation of a VO-DML data model. VO-DML/XML aims to be concise, explicit and easy to parse and use in code that needs to interpret annotated data sets. VO-DML as described in this document is an example of a domain specific modeling language, where the domain here is defined as the set of data and meta-data structures handled in the IVOA and Astronomy at large. VO-DML provides a custom representation of such a language and as a side effect allows the creation and use of standards compliant data models outside of the IVOA standards context.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11477}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2948,"pubmed_id":null,"title":"VO-DML: a consistent modeling language for IVOA data models Version 1.0","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0910L","authors":"Lemson, Gerard; Laurino, Omar; Bourges, Laurent; Cresitello-Dittmar, Mark; Demleitner, Markus; Donaldson, Tom; Dowler, Patrick; Graham, Matthew; Gray, Norman; Michel, Laurent; Salgado, Jesus","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:03.307Z","updated_at":"2021-09-30T08:28:03.307Z"}],"licence_links":[],"grants":[{"id":7332,"fairsharing_record_id":1379,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.035Z","updated_at":"2021-09-30T09:28:34.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7333,"fairsharing_record_id":1379,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:34.060Z","updated_at":"2021-09-30T09:28:34.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1369","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:01:49.000Z","updated_at":"2022-12-13T10:26:05.599Z","metadata":{"doi":"10.25504/FAIRsharing.yYjZWb","name":"Data Model for Astronomical DataSet Characterisation","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/latest/CharacterisationDM.html","citations":[{"publication_id":2908}],"identifier":1369,"description":"The Data Model for Astronomical DataSet Characterisation defines the high level metadata necessary to describe the physical parameter space of observed or simulated astronomical data sets, such as 2D-images, data cubes, X-ray event lists, IFU data, etc.. The Characterisation data model is an abstraction which can be used to derive a structured description of any relevant data and thus to facilitate its discovery and scientific interpretation. The model aims at facilitating the manipulation of heterogeneous data in any VO framework or portal. A VO Characterisation instance can include descriptions of the data axes, the range of coordinates covered by the data, and details of the data sampling and resolution on each axis. These descriptions should be in terms of physical variables, independent of instrumental signatures as far as possible.","abbreviation":"CharDM","year_creation":2008},"legacy_ids":["bsg-001164","bsg-s001164"],"name":"FAIRsharing record for: Data Model for Astronomical DataSet Characterisation","abbreviation":"CharDM","url":"https://fairsharing.org/10.25504/FAIRsharing.yYjZWb","doi":"10.25504/FAIRsharing.yYjZWb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Model for Astronomical DataSet Characterisation defines the high level metadata necessary to describe the physical parameter space of observed or simulated astronomical data sets, such as 2D-images, data cubes, X-ray event lists, IFU data, etc.. The Characterisation data model is an abstraction which can be used to derive a structured description of any relevant data and thus to facilitate its discovery and scientific interpretation. The model aims at facilitating the manipulation of heterogeneous data in any VO framework or portal. A VO Characterisation instance can include descriptions of the data axes, the range of coordinates covered by the data, and details of the data sampling and resolution on each axis. These descriptions should be in terms of physical variables, independent of instrumental signatures as far as possible.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11453}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2908,"pubmed_id":null,"title":"Data Model for Astronomical DataSet Characterisation Version 1.13","year":2008,"url":"http://dx.doi.org/10.5479/ADS/bib/2008ivoa.spec.0325L","authors":"Louys, Mireille; Richards, Anita; Bonnarel, François; Micol, Alberto; Chilingarian, Igor; McDowell, Jonathan; IVOA Data Model Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:58.073Z","updated_at":"2021-09-30T08:27:58.073Z"}],"licence_links":[],"grants":[{"id":7312,"fairsharing_record_id":1369,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.442Z","updated_at":"2021-09-30T09:28:33.442Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7313,"fairsharing_record_id":1369,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:33.467Z","updated_at":"2021-09-30T09:28:33.467Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1370","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T09:50:41.000Z","updated_at":"2022-12-13T10:25:55.272Z","metadata":{"doi":"10.25504/FAIRsharing.qSULus","name":"Resource Metadata for the Virtual Observatory","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/RM/index.html","citations":[{"publication_id":2957}],"identifier":1370,"description":"An essential capability of the Virtual Observatory is a means for describing what data and computational facilities are available where, and once identified, how to use them. The data themselves have associated metadata (e.g., FITS keywords), and similarly we require metadata about data collections and data services so that VO users can easily find information of interest. Furthermore, such metadata are needed in order to manage distributed queries efficiently; if a user is interested in finding x-ray images there is no point in querying the HST archive, for example. The Resource Metadata for the Virtual Observatory standard describes an architecture for resource and service metadata and the relationship of this architecture to emerging Web Services standards. We also define an initial set of metadata concepts.","abbreviation":"IVOA RM","support_links":[{"url":"http://ivoa.net/documents/RM/20070302/REC-RM-1.12-20070302.html","name":"View Standard","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001198","bsg-s001198"],"name":"FAIRsharing record for: Resource Metadata for the Virtual Observatory","abbreviation":"IVOA RM","url":"https://fairsharing.org/10.25504/FAIRsharing.qSULus","doi":"10.25504/FAIRsharing.qSULus","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An essential capability of the Virtual Observatory is a means for describing what data and computational facilities are available where, and once identified, how to use them. The data themselves have associated metadata (e.g., FITS keywords), and similarly we require metadata about data collections and data services so that VO users can easily find information of interest. Furthermore, such metadata are needed in order to manage distributed queries efficiently; if a user is interested in finding x-ray images there is no point in querying the HST archive, for example. The Resource Metadata for the Virtual Observatory standard describes an architecture for resource and service metadata and the relationship of this architecture to emerging Web Services standards. We also define an initial set of metadata concepts.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11468}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2957,"pubmed_id":null,"title":"Resource Metadata for the Virtual Observatory Version 1.12","year":2007,"url":"http://dx.doi.org/10.5479/ADS/bib/2007ivoa.spec.0302H","authors":"Hanisch, Robert; IVOA Resource Registry Working Group; NVO Metadata Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.441Z","updated_at":"2021-09-30T08:28:04.441Z"}],"licence_links":[],"grants":[{"id":7315,"fairsharing_record_id":1370,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:33.518Z","updated_at":"2021-09-30T09:28:33.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7314,"fairsharing_record_id":1370,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.493Z","updated_at":"2021-09-30T09:28:33.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1371","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T10:04:35.000Z","updated_at":"2022-12-14T08:17:11.664Z","metadata":{"doi":"10.25504/FAIRsharing.8ezzRt","name":"SimpleDALRegExt - Describing Simple IVOA Data Access Services","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/SimpleDALRegExt/index.html","citations":[{"doi":null,"pubmed_id":null,"publication_id":2959}],"identifier":1371,"description":"An application that queries or consumes descriptions of VO resources must be able to recognize a resource's support for standard IVOA protocols. The SimpleDALRegExt specification describes how to describe a service that supports any of the four typed data access protocols - Simple Cone Search (SCS), Simple Image Access (SIA), Simple Spectral Access (SSA), Simple Line Access (SLA) - using the VOResource XML encoding standard. A key part of this specification is the set of VOResource XML extension schemas that define new metadata that are specific to those protocols. SimpleDALRegExt describes rules for describing such services within the context of IVOA Registries and data discovery as well as the VO Support Interfaces (VOSI) and service self-description. In particular, this document spells out the essential mark-up needed to identify support for a standard protocol and the base URL required to access the interface that supports that protocol.","abbreviation":"SimpleDALRegExt","support_links":[{"url":"http://ivoa.net/documents/SimpleDALRegExt/20170530/REC-SimpleDALRegExt-1.1.html","name":"View Standard","type":"Help documentation"},{"url":"https://www.ivoa.net/documents/SimpleDALRegExt/20220222/index.html","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001200","bsg-s001200"],"name":"FAIRsharing record for: SimpleDALRegExt - Describing Simple IVOA Data Access Services","abbreviation":"SimpleDALRegExt","url":"https://fairsharing.org/10.25504/FAIRsharing.8ezzRt","doi":"10.25504/FAIRsharing.8ezzRt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An application that queries or consumes descriptions of VO resources must be able to recognize a resource's support for standard IVOA protocols. The SimpleDALRegExt specification describes how to describe a service that supports any of the four typed data access protocols - Simple Cone Search (SCS), Simple Image Access (SIA), Simple Spectral Access (SSA), Simple Line Access (SLA) - using the VOResource XML encoding standard. A key part of this specification is the set of VOResource XML extension schemas that define new metadata that are specific to those protocols. SimpleDALRegExt describes rules for describing such services within the context of IVOA Registries and data discovery as well as the VO Support Interfaces (VOSI) and service self-description. In particular, this document spells out the essential mark-up needed to identify support for a standard protocol and the base URL required to access the interface that supports that protocol.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11481}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2959,"pubmed_id":null,"title":"Describing Simple Data Access Services Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0530P","authors":"Plante, Ray; Demleitner, Markus; Plante, Raymond; Delago, Jesus; Harrison, Paul; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.674Z","updated_at":"2021-09-30T08:28:04.674Z"}],"licence_links":[],"grants":[{"id":7316,"fairsharing_record_id":1371,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.571Z","updated_at":"2021-09-30T09:28:33.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7317,"fairsharing_record_id":1371,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:33.612Z","updated_at":"2021-09-30T09:28:33.612Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1372","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T09:35:37.000Z","updated_at":"2022-12-14T08:16:55.910Z","metadata":{"doi":"10.25504/FAIRsharing.TVImPv","name":"VODataService: a VOResource Schema Extension for Describing Collections and Services","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/VODataService/index.html","citations":[{"publication_id":2961}],"identifier":1372,"description":"VODataService refers to an XML encoding standard for a specialized extension of the IVOA Resource Metadata that is useful for describing data collections and the services that access them. It is defined as an extension of the core resource metadata encoding standard known as VOResource using XML Schema. The specialized resource types defined by the VODataService schema allow one to describe how the data underlying the resource cover the sky as well as cover frequency and time. This coverage description leverages heavily the Space-Time Coordinates (STC) standard schema. VODataService also enables detailed descriptions of tables that includes information useful to the discovery of tabular data. It is intended that the VODataService data types will be particularly useful in describing services that support standard IVOA service protocols.","abbreviation":"VODataService","support_links":[{"url":"http://ivoa.net/documents/VODataService/20101202/REC-VODataService-1.1-20101202.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VODataServiceNext","name":"VODataService Next Steps (Wiki)","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-001202","bsg-s001202"],"name":"FAIRsharing record for: VODataService: a VOResource Schema Extension for Describing Collections and Services","abbreviation":"VODataService","url":"https://fairsharing.org/10.25504/FAIRsharing.TVImPv","doi":"10.25504/FAIRsharing.TVImPv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VODataService refers to an XML encoding standard for a specialized extension of the IVOA Resource Metadata that is useful for describing data collections and the services that access them. It is defined as an extension of the core resource metadata encoding standard known as VOResource using XML Schema. The specialized resource types defined by the VODataService schema allow one to describe how the data underlying the resource cover the sky as well as cover frequency and time. This coverage description leverages heavily the Space-Time Coordinates (STC) standard schema. VODataService also enables detailed descriptions of tables that includes information useful to the discovery of tabular data. It is intended that the VODataService data types will be particularly useful in describing services that support standard IVOA service protocols.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11482}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2961,"pubmed_id":null,"title":"VODataService: a VOResource Schema Extension for Describing Collections, Services Version 1.1","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.1202P","authors":"Plante, Raymond; Stébé, Aurélien; Benson, Kevin; Dowler, Patrick; Graham, Matthew; Greene, Gretchen; Harrison, Paul; Lemson, Gerard; Linde, Tony; Rixon, Guy","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.908Z","updated_at":"2021-09-30T08:28:04.908Z"}],"licence_links":[],"grants":[{"id":7318,"fairsharing_record_id":1372,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.649Z","updated_at":"2021-09-30T09:28:33.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7319,"fairsharing_record_id":1372,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:33.691Z","updated_at":"2021-09-30T09:28:33.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1373","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:54:20.000Z","updated_at":"2022-12-14T08:16:44.827Z","metadata":{"doi":"10.25504/FAIRsharing.4BQ3AQ","name":"Simple Spectral Access Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SSA/","citations":[{"publication_id":2936}],"identifier":1373,"description":"The Simple Spectral Access (SSA) Protocol (SSAP) defines a uniform interface to remotely discover and access one dimensional spectra. SSA is a member of an integrated family of data access interfaces altogether comprising the Data Access Layer (DAL) of the IVOA. SSA is based on a more general data model capable of describing most tabular spectrophotometric data, including time series and spectral energy distributions (SEDs) as well as 1-D spectra; however the scope of the SSA interface as specified in this document is limited to simple 1-D spectra, including simple aggregations of 1-D spectra. The form of the SSA interface is simple: clients first query the global resource registry to find services of interest and then issue a data discovery query to selected services to determine what relevant data is available from each service; the candidate datasets available are described uniformly in a VOTable format document which is returned in response to the query. Finally, the client may retrieve selected datasets for analysis.","abbreviation":"SSA","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/SsaInterface","name":"SSA Wiki","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-001156","bsg-s001156"],"name":"FAIRsharing record for: Simple Spectral Access Protocol","abbreviation":"SSA","url":"https://fairsharing.org/10.25504/FAIRsharing.4BQ3AQ","doi":"10.25504/FAIRsharing.4BQ3AQ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Spectral Access (SSA) Protocol (SSAP) defines a uniform interface to remotely discover and access one dimensional spectra. SSA is a member of an integrated family of data access interfaces altogether comprising the Data Access Layer (DAL) of the IVOA. SSA is based on a more general data model capable of describing most tabular spectrophotometric data, including time series and spectral energy distributions (SEDs) as well as 1-D spectra; however the scope of the SSA interface as specified in this document is limited to simple 1-D spectra, including simple aggregations of 1-D spectra. The form of the SSA interface is simple: clients first query the global resource registry to find services of interest and then issue a data discovery query to selected services to determine what relevant data is available from each service; the candidate datasets available are described uniformly in a VOTable format document which is returned in response to the query. Finally, the client may retrieve selected datasets for analysis.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11454}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2936,"pubmed_id":null,"title":"Simple Spectral Access Protocol Version 1.1","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0210T","authors":"Tody, Doug; Dolensky, Markus; McDowell, Jonathan; Bonnarel, Francois; Budavari, Tamas; Busko, Ivo; Micol, Alberto; Osuna, Pedro; Salgado, Jesus; Skoda, Petr; Thompson, Randy; Valdes, Frank; Data Access Layer Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.875Z","updated_at":"2021-09-30T08:28:01.875Z"}],"licence_links":[],"grants":[{"id":7321,"fairsharing_record_id":1373,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.761Z","updated_at":"2021-09-30T09:28:33.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7320,"fairsharing_record_id":1373,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.728Z","updated_at":"2021-09-30T09:28:33.728Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1374","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T14:54:21.000Z","updated_at":"2022-12-14T08:16:29.178Z","metadata":{"doi":"10.25504/FAIRsharing.h0dobn","name":"DataLink","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/DataLink/index.html","citations":[{"publication_id":2934}],"identifier":1374,"description":"The DataLink specification defines mechanisms for connecting metadata about discovered datasets to the data, related data products, and web services that can act upon the data. DataLink is a data access protocol in the IVOA architecture whose purpose is to provide a mechanism to link resources found via one service to resources provided by other services. The web service capability supports a drill-down into the details of a specific dataset and provides a set of links to the dataset file(s) and related resources. This specification also includes a VOTable-specific method of providing descriptions of one or more services and their input(s), usually using parameter values from elsewhere in the VOTable document. Providers are able to describe services that are relevant to the records (usually datasets with identifiers) by including service descriptors in a result document.","abbreviation":"DataLink","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/DataLink","name":"DataLink Wiki","type":"Help documentation"},{"url":"http://www.ivoa.net/rdf/datalink/core/2014-10-30/datalink-core-2014-10-30.html","name":"DataLink Controlled Vocabulary","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001149","bsg-s001149"],"name":"FAIRsharing record for: DataLink","abbreviation":"DataLink","url":"https://fairsharing.org/10.25504/FAIRsharing.h0dobn","doi":"10.25504/FAIRsharing.h0dobn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DataLink specification defines mechanisms for connecting metadata about discovered datasets to the data, related data products, and web services that can act upon the data. DataLink is a data access protocol in the IVOA architecture whose purpose is to provide a mechanism to link resources found via one service to resources provided by other services. The web service capability supports a drill-down into the details of a specific dataset and provides a set of links to the dataset file(s) and related resources. This specification also includes a VOTable-specific method of providing descriptions of one or more services and their input(s), usually using parameter values from elsewhere in the VOTable document. Providers are able to describe services that are relevant to the records (usually datasets with identifiers) by including service descriptors in a result document.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11465}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2934,"pubmed_id":null,"title":"IVOA DataLink Version 1.0","year":2015,"url":"http://dx.doi.org/10.5479/ADS/bib/2015ivoa.spec.0617D","authors":"Dowler, Patrick; Bonnarel, François; Michel, Laurent; Demleitner, Markus","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.559Z","updated_at":"2021-09-30T08:28:01.559Z"}],"licence_links":[],"grants":[{"id":7322,"fairsharing_record_id":1374,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:33.784Z","updated_at":"2021-09-30T09:28:33.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7323,"fairsharing_record_id":1374,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:33.809Z","updated_at":"2021-09-30T09:28:33.809Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1384","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T12:42:43.000Z","updated_at":"2023-12-04T10:34:34.713Z","metadata":{"doi":"10.25504/FAIRsharing.dnE6tF","name":"Table Access Protocol","status":"ready","contacts":[{"contact_name":"IVOA Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/TAP/","citations":[],"identifier":1384,"description":"The table access protocol (TAP) defines a service protocol for accessing general table data, including astronomical catalogs as well as general database tables. Access is provided for both database and table metadata as well as for actual table data. This version of the protocol includes support for multiple query languages, including queries specified using the Astronomical Data Query Language ADQL within an integrated interface. It also includes support for both synchronous and asynchronous queries. Special support is provided for spatially indexed queries using the spatial extensions in ADQL. A multi-position query capability permits queries against an arbitrarily large list of astronomical targets, providing a simple spatial cross-matching capability. More sophisticated distributed cross-matching capabilities are possible by orchestrating a distributed query across multiple TAP services.","abbreviation":"TAP","support_links":[],"year_creation":2018},"legacy_ids":["bsg-001209","bsg-s001209"],"name":"FAIRsharing record for: Table Access Protocol","abbreviation":"TAP","url":"https://fairsharing.org/10.25504/FAIRsharing.dnE6tF","doi":"10.25504/FAIRsharing.dnE6tF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The table access protocol (TAP) defines a service protocol for accessing general table data, including astronomical catalogs as well as general database tables. Access is provided for both database and table metadata as well as for actual table data. This version of the protocol includes support for multiple query languages, including queries specified using the Astronomical Data Query Language ADQL within an integrated interface. It also includes support for both synchronous and asynchronous queries. Special support is provided for spatially indexed queries using the spatial extensions in ADQL. A multi-position query capability permits queries against an arbitrarily large list of astronomical targets, providing a simple spatial cross-matching capability. More sophisticated distributed cross-matching capabilities are possible by orchestrating a distributed query across multiple TAP services.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11492}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2937,"pubmed_id":null,"title":"Table Access Protocol Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.spec.0327D","authors":"Dowler, Patrick; Rixon, Guy; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.992Z","updated_at":"2021-09-30T08:28:01.992Z"}],"licence_links":[],"grants":[{"id":7344,"fairsharing_record_id":1384,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.385Z","updated_at":"2021-09-30T09:28:34.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7345,"fairsharing_record_id":1384,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:34.410Z","updated_at":"2023-12-04T10:29:16.983Z","grant_id":null,"is_lead":true,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2dEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--523a3c4eb1fb16363466f2ddf528c573916e6866/IVOA_wb_300.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1385","type":"fairsharing_records","attributes":{"created_at":"2020-07-06T13:11:42.000Z","updated_at":"2022-07-20T12:21:07.853Z","metadata":{"doi":"10.25504/FAIRsharing.pwk71v","name":"Citation Style Language JSON Schema","status":"ready","homepage":"https://github.com/citation-style-language/schema","identifier":1385,"description":"The Citation Style Language JSON (CSL-JSON) schema renders citations and bibliography metadata for CSL processors. Where the related CSL XML schema provides structured style and locale files, CSL-JSON provides the structured bibliographic metadata. The CSL-JSON schema is not yet fully normative, and care must be taken to ensure compatibility with other tools built around CSL-JSON. CSL-JSON contains two main structures: csl-data.json describes how the metadata of bibliographic items can be stored; and csl-citation.json incorporates csl-data.json and adds an additional layer of information to also describe the context in which bibliographic items are cited, including information such as the order in which items are cited and which items are cited together in a single citation.","abbreviation":"CSL-JSON Schema","support_links":[{"url":"https://citationstyles.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"https://citeproc-js.readthedocs.io/en/latest/csl-json/markup.html","name":"CSL-JSON Information","type":"Help documentation"},{"url":"https://twitter.com/csl_styles","name":"@csl_styles","type":"Twitter"}],"year_creation":2020},"legacy_ids":["bsg-001507","bsg-s001507"],"name":"FAIRsharing record for: Citation Style Language JSON Schema","abbreviation":"CSL-JSON Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.pwk71v","doi":"10.25504/FAIRsharing.pwk71v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citation Style Language JSON (CSL-JSON) schema renders citations and bibliography metadata for CSL processors. Where the related CSL XML schema provides structured style and locale files, CSL-JSON provides the structured bibliographic metadata. The CSL-JSON schema is not yet fully normative, and care must be taken to ensure compatibility with other tools built around CSL-JSON. CSL-JSON contains two main structures: csl-data.json describes how the metadata of bibliographic items can be stored; and csl-citation.json incorporates csl-data.json and adds an additional layer of information to also describe the context in which bibliographic items are cited, including information such as the order in which items are cited and which items are cited together in a single citation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1992,"relation":"undefined"}],"grants":[{"id":7346,"fairsharing_record_id":1385,"organisation_id":2616,"relation":"funds","created_at":"2021-09-30T09:28:34.440Z","updated_at":"2021-09-30T09:28:34.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":2616,"name":"Springer Nature","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7348,"fairsharing_record_id":1385,"organisation_id":524,"relation":"maintains","created_at":"2021-09-30T09:28:34.499Z","updated_at":"2021-09-30T09:28:34.499Z","grant_id":null,"is_lead":true,"saved_state":{"id":524,"name":"Citation Style Language Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7347,"fairsharing_record_id":1385,"organisation_id":1817,"relation":"funds","created_at":"2021-09-30T09:28:34.470Z","updated_at":"2021-09-30T09:28:34.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":1817,"name":"Mendeley, London, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7349,"fairsharing_record_id":1385,"organisation_id":850,"relation":"funds","created_at":"2021-09-30T09:28:34.541Z","updated_at":"2021-09-30T09:28:34.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7350,"fairsharing_record_id":1385,"organisation_id":2413,"relation":"funds","created_at":"2021-09-30T09:28:34.581Z","updated_at":"2021-09-30T09:28:34.581Z","grant_id":null,"is_lead":false,"saved_state":{"id":2413,"name":"RefWorks, ProQuest LLC.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1386","type":"fairsharing_records","attributes":{"created_at":"2018-10-05T07:34:30.000Z","updated_at":"2022-12-14T08:17:23.656Z","metadata":{"doi":"10.25504/FAIRsharing.a8diI4","name":"The UCD1+ controlled vocabulary","status":"ready","contacts":[{"contact_name":"IVOA Semantics Working Group","contact_email":"semantics@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/UCD1+/","citations":[{"publication_id":2965}],"identifier":1386,"description":"This document describes the list of controlled terms used to build the Unified Content Descriptors, Version 1+ (UCD1+). The document describing the UCD1+ can be found at the URL: http://www.ivoa.net/Documents/latest/UCD.html. This document reviews the structure of the UCD1+ and presents the current vocabulary. This version contains new UCD words for the planetary data community as proposed in the Technical Note by Cecconi et al. The suggested list of line labels under the em.line branch is not included. A general solution is currently under study to deal with lists of element instances such spectral lines, chemical elements, elementary particles, etc. using either utypes or a vocabulary.","abbreviation":"UCD1+ Vocabulary","support_links":[{"url":"http://www.ivoa.net/documents/UCD1+/index.html","name":"View Standard","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001304","bsg-s001304"],"name":"FAIRsharing record for: The UCD1+ controlled vocabulary","abbreviation":"UCD1+ Vocabulary","url":"https://fairsharing.org/10.25504/FAIRsharing.a8diI4","doi":"10.25504/FAIRsharing.a8diI4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document describes the list of controlled terms used to build the Unified Content Descriptors, Version 1+ (UCD1+). The document describing the UCD1+ can be found at the URL: http://www.ivoa.net/Documents/latest/UCD.html. This document reviews the structure of the UCD1+ and presents the current vocabulary. This version contains new UCD words for the planetary data community as proposed in the Technical Note by Cecconi et al. The suggested list of line labels under the em.line branch is not included. A general solution is currently under study to deal with lists of element instances such spectral lines, chemical elements, elementary particles, etc. using either utypes or a vocabulary.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11494}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2965,"pubmed_id":null,"title":"The UCD1+ controlled vocabulary Version 1.3 Version 1.3","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0527M","authors":"Martinez, Andrea Preite; Louys, Mireille; Cecconi, Baptiste; Derriere, Sebastien; Ochsenbein, François; IVOA Semantic Working Group","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.375Z","updated_at":"2021-09-30T08:28:05.375Z"}],"licence_links":[],"grants":[{"id":7351,"fairsharing_record_id":1386,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.614Z","updated_at":"2021-09-30T09:28:34.614Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7352,"fairsharing_record_id":1386,"organisation_id":1576,"relation":"maintains","created_at":"2021-09-30T09:28:34.658Z","updated_at":"2021-09-30T09:28:34.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":1576,"name":"IVOA Semantics Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1387","type":"fairsharing_records","attributes":{"created_at":"2021-01-12T11:38:13.000Z","updated_at":"2022-07-20T11:11:12.935Z","metadata":{"name":"Minimum Information about a Digital Specimen","status":"in_development","contacts":[{"contact_name":"Alex Hardisty","contact_email":"HardistyAR@cardiff.ac.uk"}],"homepage":"https://github.com/tdwg/mids","identifier":1387,"description":"The Minimum Information about a Digital Specimen (MIDS) guidelines, currently in development, specifies the information elements expected to be present when providing access to specimens within a digital framework They are intended to provide a harmonizing framework captured as a TDWG standard that can help clarify levels (depth) of digitization and the minimum information captured and published at each level. This would help to ensure that enough data are captured, curated and published against specific requirements so they are useful for the widest range of possible purposes; as well as making it easier to consistently measure the extent of digitization achieved over time and to set priorities for remaining work. Such a framework would also be beneficial for 'born digital' specimens where digital data is captured from the outset, beginning with the gathering event.","abbreviation":"MIDS","support_links":[{"url":"EHaston@rbge.org.uk","name":"Elspeth Haston","type":"Support email"},{"url":"https://github.com/tdwg/mids/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2018},"legacy_ids":["bsg-001576","bsg-s001576"],"name":"FAIRsharing record for: Minimum Information about a Digital Specimen","abbreviation":"MIDS","url":"https://fairsharing.org/fairsharing_records/1387","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Digital Specimen (MIDS) guidelines, currently in development, specifies the information elements expected to be present when providing access to specimens within a digital framework They are intended to provide a harmonizing framework captured as a TDWG standard that can help clarify levels (depth) of digitization and the minimum information captured and published at each level. This would help to ensure that enough data are captured, curated and published against specific requirements so they are useful for the widest range of possible purposes; as well as making it easier to consistently measure the extent of digitization achieved over time and to set priorities for remaining work. Such a framework would also be beneficial for 'born digital' specimens where digital data is captured from the outset, beginning with the gathering event.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Natural Science"],"domains":["Resource collection","Digital curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7353,"fairsharing_record_id":1387,"organisation_id":1846,"relation":"maintains","created_at":"2021-09-30T09:28:34.697Z","updated_at":"2021-09-30T09:28:34.697Z","grant_id":null,"is_lead":true,"saved_state":{"id":1846,"name":"Minimum Information about a Digital Specimen (MIDS) Task Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1388","type":"fairsharing_records","attributes":{"created_at":"2020-04-09T23:23:45.000Z","updated_at":"2023-03-14T17:50:26.472Z","metadata":{"name":"Reporting guidelines to increase the reproducibility and comparability of research on microplastics","status":"in_development","contacts":[{"contact_name":"Win Cowger","contact_email":"wcowg001@ucr.edu","contact_orcid":"0000-0001-9226-3104"}],"homepage":"https://osf.io/jdmex/","citations":[{"publication_id":2974}],"identifier":1388,"description":"The aim of these reporting guidelines is to inform the critical method components which should be reported to reproduce a study. These can be used to develop databases for studies, develop new methodologies that better control for these factors, and referenced when publishing to ensure that a study is reproducible. We have formatted the documentation into a summarized and detailed version. We expect that the detailed documentation will be especially useful for new microplastic practitioners who are just entering the field. As well, the summarized versions of the documentation will be useful for practitioners who know the field well. These are living documents hosted on Open Science Framework to allow for comments on the microplastic reporting guidelines. All reporting guideline documents are open access and hold a CC By 4.0 license.","abbreviation":null,"support_links":[{"url":"https://osf.io/jdmex/","name":"Open Science Framework","type":"Help documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://osf.io/jdmex/","name":"Reporting guidelines to increase the reproducibility and comparability of research on microplastics 1"}]},"legacy_ids":["bsg-001463","bsg-s001463"],"name":"FAIRsharing record for: Reporting guidelines to increase the reproducibility and comparability of research on microplastics","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/1388","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of these reporting guidelines is to inform the critical method components which should be reported to reproduce a study. These can be used to develop databases for studies, develop new methodologies that better control for these factors, and referenced when publishing to ensure that a study is reproducible. We have formatted the documentation into a summarized and detailed version. We expect that the detailed documentation will be especially useful for new microplastic practitioners who are just entering the field. As well, the summarized versions of the documentation will be useful for practitioners who know the field well. These are living documents hosted on Open Science Framework to allow for comments on the microplastic reporting guidelines. All reporting guideline documents are open access and hold a CC By 4.0 license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science","Ecology"],"domains":["Environmental contaminant"],"taxonomies":["Not applicable"],"user_defined_tags":["microplastic","plastic","plastic pollution"],"countries":["United States"],"publications":[{"id":2974,"pubmed_id":null,"title":"Reporting Guidelines to Increase the Reproducibility and Comparability of Research on Microplastics","year":2020,"url":"https://journals.sagepub.com/doi/10.1177/0003702820930292","authors":"W.Cowger, A.M.Booth, B. M.Hamilton, C.Thaysen, S.Primpke, K.Munno, A.L.Lusher, A.Dehaut, V.P.Vaz, M.Liboiron, L.I.Devriese, L.Hermabessiere, C.Rochman, S.N.Athey, J.M.Lynch, H.De Frond, A.Gray, O.A.H.Jones, S.Brander, C.Steele, S.Moore, A.Sanchez, H.Nel","journal":"Applied Spectroscopy","doi":null,"created_at":"2021-09-30T08:28:06.466Z","updated_at":"2021-09-30T08:28:06.466Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":135,"relation":"undefined"}],"grants":[{"id":7354,"fairsharing_record_id":1388,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:28:34.733Z","updated_at":"2021-09-30T09:28:34.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7355,"fairsharing_record_id":1388,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:34.775Z","updated_at":"2021-09-30T09:31:01.850Z","grant_id":985,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Graduate Research Fellowship","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1380","type":"fairsharing_records","attributes":{"created_at":"2020-09-28T12:26:15.000Z","updated_at":"2022-07-20T12:40:52.340Z","metadata":{"doi":"10.25504/FAIRsharing.21a6c6","name":"NABON Breast Cancer Audit - Radiotherapy","status":"ready","contacts":[{"contact_name":"DICA Servicedesk","contact_email":"fair@mrdm.nl"},{"contact_name":"DICA information analysis","contact_email":"informatieanalyse@dica.nl","contact_orcid":null}],"homepage":"https://github.com/mrdm-nl/dica-set-nbcar","citations":[],"identifier":1380,"description":"The NABON Breast Cancer Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of breast carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the NBCA-R data.","abbreviation":"NBCA-R","support_links":[{"url":"https://support.mrdm.nl/","name":"Support website","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001530","bsg-s001530"],"name":"FAIRsharing record for: NABON Breast Cancer Audit - Radiotherapy","abbreviation":"NBCA-R","url":"https://fairsharing.org/10.25504/FAIRsharing.21a6c6","doi":"10.25504/FAIRsharing.21a6c6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NABON Breast Cancer Audit - Radiotherapy is the national clinical quality of care registry for radiotherapy treatment of breast carcinoma. The registry contains information about target areas, dose volumes histograms and organs at risk and is used by a growing number of Radiotherapy centres to store information for quality indicators, benchmarking and scientific research. This standard defines the metadata required to insure availability, versioning and interoperability of the NBCA-R data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Oncology","Medical Physics","Biomedical Science","Radiobiology"],"domains":["Cancer","Tumor","Patient care","Radiotherapy","Mammary gland"],"taxonomies":["Homo sapiens"],"user_defined_tags":["axilla","breast","Breast cancer","dose","Dose Volume Histogram","fraction","lymph nodes"],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"DICA License and Terms of Use","licence_id":242,"licence_url":"http://dica.nl/media/2033/20190425%20DCRA%20ENG%20reglement.pdf","link_id":2457,"relation":"applies_to_content"}],"grants":[{"id":8490,"fairsharing_record_id":1380,"organisation_id":1906,"relation":"collaborates_on","created_at":"2021-10-04T20:37:58.141Z","updated_at":"2021-10-04T20:37:58.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1906,"name":"MRDM","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":7335,"fairsharing_record_id":1380,"organisation_id":2111,"relation":"collaborates_on","created_at":"2021-09-30T09:28:34.123Z","updated_at":"2021-10-04T20:37:58.250Z","grant_id":null,"is_lead":false,"saved_state":{"id":2111,"name":"Nederlandse Vereniging voor Radiotherapie en Oncologie (NVRO)","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":7334,"fairsharing_record_id":1380,"organisation_id":795,"relation":"maintains","created_at":"2021-09-30T09:28:34.088Z","updated_at":"2021-10-04T20:37:58.165Z","grant_id":null,"is_lead":true,"saved_state":{"id":795,"name":"Dutch Institute for Clinical Auditing (DICA)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1381","type":"fairsharing_records","attributes":{"created_at":"2019-12-18T11:14:58.000Z","updated_at":"2022-08-08T08:04:02.856Z","metadata":{"doi":"10.25504/FAIRsharing.gVJjIW","name":"NeuroNames","status":"ready","contacts":[{"contact_name":"Douglas M. Bowden, MD","contact_email":"dmbowden@u.washington.edu"}],"homepage":"http://braininfo.org/Nnont.aspx","citations":[{"doi":"10.1007/s12021-011-9128-8","pubmed_id":21789500,"publication_id":2668}],"identifier":1381,"description":"The NeuroNames ontology is designed to accommodate all of the English and Latin names (words and multiword terms) used by neuroscientists to reference all neuroanatomic concepts (word definitions and images) in the neuroscience literature of the last 50 years. Every name is classified as either a standard name or a synonym for the concept it represents. Some synonyms (multiple names for the same structure) are also homonyms (same name for different structures). Later the names for approximately 1000 structures encountered in neuroanatomic textbooks of six other languages were incorporated: French, German, Italian, Indonesian, Russian, and Spanish. Since 1992, the entire NeuroNames name set has been a regularly updated Source Vocabulary for the National Library of Medicine’s Unified Medical Language System under the abbreviation NN-. PubMed uses the synonym lists of NeuroNames to retrieve abstracts of articles in which authors have used different names for a structure than the search term submitted by the user.","abbreviation":"NN","support_links":[{"url":"http://braininfo.org/NeuroNames%20JSON%20Manual.pdf","name":"NeuroNames JSON Manual (PDF)","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001422","bsg-s001422"],"name":"FAIRsharing record for: NeuroNames","abbreviation":"NN","url":"https://fairsharing.org/10.25504/FAIRsharing.gVJjIW","doi":"10.25504/FAIRsharing.gVJjIW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NeuroNames ontology is designed to accommodate all of the English and Latin names (words and multiword terms) used by neuroscientists to reference all neuroanatomic concepts (word definitions and images) in the neuroscience literature of the last 50 years. Every name is classified as either a standard name or a synonym for the concept it represents. Some synonyms (multiple names for the same structure) are also homonyms (same name for different structures). Later the names for approximately 1000 structures encountered in neuroanatomic textbooks of six other languages were incorporated: French, German, Italian, Indonesian, Russian, and Spanish. Since 1992, the entire NeuroNames name set has been a regularly updated Source Vocabulary for the National Library of Medicine’s Unified Medical Language System under the abbreviation NN-. PubMed uses the synonym lists of NeuroNames to retrieve abstracts of articles in which authors have used different names for a structure than the search term submitted by the user.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neuroscience"],"domains":["Bioimaging"],"taxonomies":["Homo sapiens","Macaca","Mus","Rattus"],"user_defined_tags":["Central nervous system","Neuroanatomy","Neuroinformatics"],"countries":["United States"],"publications":[{"id":2668,"pubmed_id":21789500,"title":"NeuroNames: an ontology for the BrainInfo portal to neuroscience on the web.","year":2011,"url":"http://doi.org/10.1007/s12021-011-9128-8","authors":"Bowden DM, Song E, Kosheleva J, Dubach MF","journal":"Neuroinformatics","doi":"10.1007/s12021-011-9128-8","created_at":"2021-09-30T08:27:27.588Z","updated_at":"2021-09-30T08:27:27.588Z"},{"id":3009,"pubmed_id":null,"title":"Informatics for Interoperability of Molecular-Genetic and Neurobehavioral Databases","year":2018,"url":"https://www.elsevier.com/books/molecular-genetic-and-statistical-techniques-for-behavioral-and-neural-research/gerlai/978-0-12-804078-2","authors":"Bowden D.M., Dubach M.F., Dong E.","journal":"Chapter 2: Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research (ed Gerlai, RT)","doi":null,"created_at":"2021-09-30T08:28:10.982Z","updated_at":"2021-09-30T08:28:10.982Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2023,"relation":"undefined"}],"grants":[{"id":7339,"fairsharing_record_id":1381,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:28:34.261Z","updated_at":"2021-09-30T09:28:34.261Z","grant_id":null,"is_lead":true,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7336,"fairsharing_record_id":1381,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:34.175Z","updated_at":"2021-09-30T09:29:17.760Z","grant_id":182,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"LM/OD-06243","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7338,"fairsharing_record_id":1381,"organisation_id":1274,"relation":"funds","created_at":"2021-09-30T09:28:34.226Z","updated_at":"2021-09-30T09:29:42.812Z","grant_id":371,"is_lead":false,"saved_state":{"id":1274,"name":"Human Brain Project","grant":"MHO69259","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9263,"fairsharing_record_id":1381,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.314Z","updated_at":"2022-04-11T12:07:26.328Z","grant_id":1482,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"RR-00166","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1382","type":"fairsharing_records","attributes":{"created_at":"2018-04-26T10:12:35.000Z","updated_at":"2022-12-14T08:18:14.076Z","metadata":{"doi":"10.25504/FAIRsharing.7E950R","name":"VOResource - an XML Encoding Schema for IVOA Resource Metadata","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/VOResource/index.html","citations":[{"publication_id":2960}],"identifier":1382,"description":"VOResource is an XML encoding standard for IVOA Resource Metadata. This schema is primarily intended to support metadata exchange between and resource discovery in interoperable registries. However, any application that needs to describe resources may use this schema. In this document, we define the types and elements that make up the schema in close alignment to the metadata terms defined in Resource Metadata for the Virtual Observatory, but also taking into account other metadata standards as well as experiences from the operation of the VO Registry. We also describe the general model for the schema and explain how it may be extended to add new metadata terms and describe more specific types of resources.","abbreviation":"VOResource","support_links":[{"url":"http://www.ivoa.net/documents/VOResource/20171107/PR-VOResource-1.1-20171107.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOResourceNext","name":"VOResource - Next Steps (Wiki)","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOResource11RFC","name":"VOResource - RFC (Wiki)","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001201","bsg-s001201"],"name":"FAIRsharing record for: VOResource - an XML Encoding Schema for IVOA Resource Metadata","abbreviation":"VOResource","url":"https://fairsharing.org/10.25504/FAIRsharing.7E950R","doi":"10.25504/FAIRsharing.7E950R","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VOResource is an XML encoding standard for IVOA Resource Metadata. This schema is primarily intended to support metadata exchange between and resource discovery in interoperable registries. However, any application that needs to describe resources may use this schema. In this document, we define the types and elements that make up the schema in close alignment to the metadata terms defined in Resource Metadata for the Virtual Observatory, but also taking into account other metadata standards as well as experiences from the operation of the VO Registry. We also describe the general model for the schema and explain how it may be extended to add new metadata terms and describe more specific types of resources.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11489},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13356}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2960,"pubmed_id":null,"title":"VOResource: an XML Encoding Schema for Resource Metadata Version 1.1","year":2018,"url":"http://dx.doi.org/10.5479/ADS/bib/2018ivoa.spec.0625P","authors":"Plante, Raymond; Demleitner, Markus; Benson, Kevin; Graham, Matthew; Greene, Gretchen; Harrison, Paul; Lemson, Gerard; Linde, Tony; Rixon, Guy","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:04.793Z","updated_at":"2021-09-30T08:28:04.793Z"}],"licence_links":[],"grants":[{"id":7340,"fairsharing_record_id":1382,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.285Z","updated_at":"2021-09-30T09:28:34.285Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7341,"fairsharing_record_id":1382,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:34.309Z","updated_at":"2021-09-30T09:28:34.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1383","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T12:42:48.000Z","updated_at":"2022-12-14T08:17:45.956Z","metadata":{"doi":"10.25504/FAIRsharing.g2ChgH","name":"VOTable Format Definition","status":"ready","contacts":[{"contact_name":"Applications Working Group","contact_email":"apps@ivoa.net"}],"homepage":"http://www.ivoa.net/documents/VOTable/","citations":[{"publication_id":2930}],"identifier":1383,"description":"Astronomers have always been at the forefront of developments in information technology, and funding agencies across the world have recognized this by supporting the Virtual Observatory movement, in the hopes that other sciences and business can follow their lead in making online data both interoperable and scalable. VOTable is designed as a flexible storage and exchange format for tabular data, with particular emphasis on astronomical tables. The VOTable format is an XML standard for the interchange of data represented as a set of tables. In this context, a table is an unordered set of rows, each of a uniform structure, as specified in the table description (the table metadata). Each row in a table is a sequence of table cells, and each of these contains either a primitive data type, or an array of such primitives. VOTable is derived from the Astrores format, itself modeled on the FITS Table format; VOTable was designed to be close to the FITS Binary Table format.","abbreviation":"VOTable","support_links":[{"url":"m.b.taylor@bristol.ac.uk","name":"M. Taylor","type":"Support email"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/VOTableIssues13","name":"Issues with version 1.3","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001144","bsg-s001144"],"name":"FAIRsharing record for: VOTable Format Definition","abbreviation":"VOTable","url":"https://fairsharing.org/10.25504/FAIRsharing.g2ChgH","doi":"10.25504/FAIRsharing.g2ChgH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Astronomers have always been at the forefront of developments in information technology, and funding agencies across the world have recognized this by supporting the Virtual Observatory movement, in the hopes that other sciences and business can follow their lead in making online data both interoperable and scalable. VOTable is designed as a flexible storage and exchange format for tabular data, with particular emphasis on astronomical tables. The VOTable format is an XML standard for the interchange of data represented as a set of tables. In this context, a table is an unordered set of rows, each of a uniform structure, as specified in the table description (the table metadata). Each row in a table is a sequence of table cells, and each of these contains either a primitive data type, or an array of such primitives. VOTable is derived from the Astrores format, itself modeled on the FITS Table format; VOTable was designed to be close to the FITS Binary Table format.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11491}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Integration","Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","France","Germany","United Kingdom","United States"],"publications":[{"id":2930,"pubmed_id":null,"title":"VOTable Format Definition Version 1.3","year":2013,"url":"http://dx.doi.org/10.5479/ADS/bib/2013ivoa.spec.0920O","authors":"Ochsenbein, Francois; Taylor, Mark; Williams, Roy; Davenhall, Clive; Demleitner, Markus; Durand, Daniel; Fernique, Pierre; Giaretta, David; Hanisch, Robert; McGlynn, Tom; Szalay, Alex; Wicenec, Andreas","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:00.966Z","updated_at":"2021-09-30T08:28:00.966Z"}],"licence_links":[],"grants":[{"id":7343,"fairsharing_record_id":1383,"organisation_id":1571,"relation":"maintains","created_at":"2021-09-30T09:28:34.360Z","updated_at":"2021-09-30T09:28:34.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":1571,"name":"IVOA Applications Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7342,"fairsharing_record_id":1383,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:34.336Z","updated_at":"2021-09-30T09:28:34.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1367","type":"fairsharing_records","attributes":{"created_at":"2015-07-22T11:39:04.000Z","updated_at":"2022-07-20T12:35:42.118Z","metadata":{"doi":"10.25504/FAIRsharing.1t5ws6","name":"Data Documentation Initiative Lifecycle","status":"ready","contacts":[{"contact_name":"Wendy Thomas","contact_email":"wlt@umn.edu","contact_orcid":"0000-0003-1294-4490"}],"homepage":"https://ddialliance.org/Specification/DDI-Lifecycle/3.3/","identifier":1367,"description":"Data Documentation Initiative (DDI) Lifecycle (DDI-Lifecycle, DDI-L) is designed to document and manage data across the entire life cycle, from conceptualization to data publication, analysis and beyond. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world. It encompasses all of the DDI-Codebook specification and extends it. Based on XML Schemas, DDI-Lifecycle is modular and extensible.","abbreviation":"DDI-Lifecycle","support_links":[{"url":"http://www.ddialliance.org/contact-us","name":"Contact Form","type":"Contact form"},{"url":"ddi@icpsr.umich.edu","name":"General Contact","type":"Support email"},{"url":"http://www.ddialliance.org/resources/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ddialliance.org/Specification/DDI-Lifecycle/3.3/DDI_3_3_2020-04-15.zip","name":"Download Documentation (ZIP)","type":"Help documentation"},{"url":"http://www.ddialliance.org/system/files/DDI%203.2%20Best%20Practices_0.pdf","name":"Implementation Guide","type":"Help documentation"},{"url":"https://ddi-lifecycle-technical-guide.readthedocs.io/en/latest/","name":"Technical Guide","type":"Help documentation"},{"url":"https://ddialliance.github.io/ddimodel-web/DDI-L-3.3/","name":"DDI-L Model Documentation v3.3","type":"Github"},{"url":"http://www.ddialliance.org/training/training-library","name":"Training Library","type":"Training documentation"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"}],"year_creation":2008,"associated_tools":[{"url":"http://www.ddialliance.org/resources/tools","name":"DDI Tools"}]},"legacy_ids":["bsg-000605","bsg-s000605"],"name":"FAIRsharing record for: Data Documentation Initiative Lifecycle","abbreviation":"DDI-Lifecycle","url":"https://fairsharing.org/10.25504/FAIRsharing.1t5ws6","doi":"10.25504/FAIRsharing.1t5ws6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Documentation Initiative (DDI) Lifecycle (DDI-Lifecycle, DDI-L) is designed to document and manage data across the entire life cycle, from conceptualization to data publication, analysis and beyond. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world. It encompasses all of the DDI-Codebook specification and extends it. Based on XML Schemas, DDI-Lifecycle is modular and extensible.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18234},{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17358},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10996},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13360},{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13362}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Economics","Social Science","Health Science","Social and Behavioural Science","Biomedical Science"],"domains":["Questionnaire","Study design","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1417,"pubmed_id":null,"title":"The data documentation initiative: a preservation standard for research","year":2007,"url":"http://doi.org/10.1007/s10502-006-9036-0","authors":"Rasmussen KB, Blank G","journal":"Archival Science","doi":"10.1007/s10502-006-9036-0","created_at":"2021-09-30T08:24:58.326Z","updated_at":"2021-09-30T08:24:58.326Z"},{"id":1421,"pubmed_id":null,"title":"The Data Documentation Initiative The Value and Significance of a Worldwide Standard","year":2004,"url":"https://doi.org/10.1177/0894439304263144","authors":"Blank G","journal":"Social Science Computer Review","doi":null,"created_at":"2021-09-30T08:24:58.836Z","updated_at":"2021-09-30T11:28:32.534Z"},{"id":2433,"pubmed_id":null,"title":"Data Documentation Initiative: Toward a Standard for the Social Sciences","year":2008,"url":"http://doi.org/10.2218/ijdc.v3i1.45","authors":"Mary Vardigan, Pascal Heus, Wendy Thomas","journal":"International Journal of Digital Curation","doi":"10.2218/ijdc.v3i1.45","created_at":"2021-09-30T08:26:58.529Z","updated_at":"2021-09-30T08:26:58.529Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1638,"relation":"undefined"}],"grants":[{"id":7306,"fairsharing_record_id":1367,"organisation_id":649,"relation":"funds","created_at":"2021-09-30T09:28:33.290Z","updated_at":"2021-09-30T09:28:33.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7307,"fairsharing_record_id":1367,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:33.318Z","updated_at":"2021-09-30T09:32:37.980Z","grant_id":1709,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"SBR-9617813","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7305,"fairsharing_record_id":1367,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:28:33.267Z","updated_at":"2021-09-30T09:28:33.267Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1368","type":"fairsharing_records","attributes":{"created_at":"2020-04-25T14:05:16.000Z","updated_at":"2022-07-20T13:08:22.263Z","metadata":{"doi":"10.25504/FAIRsharing.69226e","name":"Humanities and Social Science Electronic Thesaurus","status":"ready","contacts":[{"contact_name":"Matthew Woollard","contact_email":"matthew@essex.ac.uk","contact_orcid":"0000-0002-1077-4312"}],"homepage":"https://hasset.ukdataservice.ac.uk/","identifier":1368,"description":"The Humanities and Social Science Electronic Thesaurus (HASSET) is the leading British English thesaurus for the social sciences. HASSET has been compiled at the UK Data Archive for over forty years. It was developed initially as an information retrieval tool to access data deposited in the UK Data Archive. Its scope has now expanded to cover the collections held by the UK Data Service.","abbreviation":"HASSET","support_links":[{"url":"https://www.ukdataservice.ac.uk/news-and-events.aspx","name":"News \u0026 events","type":"Blog/News"},{"url":"https://www.linkedin.com/company/uk-data-service/?originalSubdomain=uk","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.facebook.com/UKDataService","name":"Facebook","type":"Facebook"},{"url":"https://www.ukdataservice.ac.uk/help/get-in-touch.aspx","name":"Get in touch","type":"Help documentation"},{"url":"https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=UKDATASERVICE","type":"Mailing list"},{"url":"https://www.youtube.com/user/UKDATASERVICE","name":"Youtube","type":"Video"},{"url":"https://twitter.com/UKDataService","type":"Twitter"}],"year_creation":2012},"legacy_ids":["bsg-001465","bsg-s001465"],"name":"FAIRsharing record for: Humanities and Social Science Electronic Thesaurus","abbreviation":"HASSET","url":"https://fairsharing.org/10.25504/FAIRsharing.69226e","doi":"10.25504/FAIRsharing.69226e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Humanities and Social Science Electronic Thesaurus (HASSET) is the leading British English thesaurus for the social sciences. HASSET has been compiled at the UK Data Archive for over forty years. It was developed initially as an information retrieval tool to access data deposited in the UK Data Archive. Its scope has now expanded to cover the collections held by the UK Data Service.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12559}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Environmental Science","Demographics","Social Science","Health Science","Public Law","Biomedical Science","Political Science","Epidemiology","Communication Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Sociology"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":661,"relation":"undefined"}],"grants":[{"id":7309,"fairsharing_record_id":1368,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:28:33.367Z","updated_at":"2021-09-30T09:28:33.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7308,"fairsharing_record_id":1368,"organisation_id":2902,"relation":"funds","created_at":"2021-09-30T09:28:33.342Z","updated_at":"2021-09-30T09:28:33.342Z","grant_id":null,"is_lead":false,"saved_state":{"id":2902,"name":"UK Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7310,"fairsharing_record_id":1368,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:33.393Z","updated_at":"2021-09-30T09:28:33.393Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7311,"fairsharing_record_id":1368,"organisation_id":1600,"relation":"maintains","created_at":"2021-09-30T09:28:33.418Z","updated_at":"2021-09-30T09:28:33.418Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1395","type":"fairsharing_records","attributes":{"created_at":"2017-07-25T15:41:21.000Z","updated_at":"2021-11-24T13:16:34.922Z","metadata":{"doi":"10.25504/FAIRsharing.hp9s46","name":"Climate and Forecast metadata conventions","status":"ready","contacts":[{"contact_name":"Jonathan Gregory","contact_email":"j.m.gregory@reading.ac.uk"}],"homepage":"http://cfconventions.org","identifier":1395,"description":"Climate and Forecast metadata conventions define metadata that provide a definitive description of what the data in each variable represents, and the spatial and temporal properties of the data. This enables users of data from different sources to decide which quantities are comparable, and facilitates building applications with powerful extraction, regridding, and display capabilities. The CF conventions generalise and extend the COARDS conventions","abbreviation":"CF metadata convention","support_links":[{"url":"http://cfconventions.org/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cfconventions.org/latest.html","name":"Latest CV Convention Documents","type":"Help documentation"},{"url":"http://cfconventions.org/Data/cf-documents/overview/viewgraphs.pdf","name":"online document","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-000709","bsg-s000709"],"name":"FAIRsharing record for: Climate and Forecast metadata conventions","abbreviation":"CF metadata convention","url":"https://fairsharing.org/10.25504/FAIRsharing.hp9s46","doi":"10.25504/FAIRsharing.hp9s46","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Climate and Forecast metadata conventions define metadata that provide a definitive description of what the data in each variable represents, and the spatial and temporal properties of the data. This enables users of data from different sources to decide which quantities are comparable, and facilitates building applications with powerful extraction, regridding, and display capabilities. The CF conventions generalise and extend the COARDS conventions","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Natural Science","Earth Science","Atmospheric Science","Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Forecasting"],"countries":["United Kingdom","United States"],"publications":[{"id":2506,"pubmed_id":null,"title":"A data model of the Climate and Forecast metadata conventions (CF-1.6) with a software implementation (cf-python v2.1)","year":2017,"url":"https://doi.org/10.5194/gmd-10-4619-2017","authors":"Hassell, D., Gregory, J., Blower, J., Lawrence, B. N. and Taylor, K. E","journal":"Geoscientific Model Development","doi":null,"created_at":"2021-09-30T08:27:07.586Z","updated_at":"2021-09-30T11:28:36.079Z"}],"licence_links":[],"grants":[{"id":7372,"fairsharing_record_id":1395,"organisation_id":1692,"relation":"maintains","created_at":"2021-09-30T09:28:35.367Z","updated_at":"2021-09-30T09:28:35.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":1692,"name":"Lawrence Livermore National Laboratory (LLNL), USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7370,"fairsharing_record_id":1395,"organisation_id":3118,"relation":"maintains","created_at":"2021-09-30T09:28:35.315Z","updated_at":"2021-09-30T09:28:35.315Z","grant_id":null,"is_lead":false,"saved_state":{"id":3118,"name":"University of Reading, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7371,"fairsharing_record_id":1395,"organisation_id":1823,"relation":"undefined","created_at":"2021-09-30T09:28:35.336Z","updated_at":"2021-09-30T09:28:35.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":1823,"name":"Met Office, UK","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1396","type":"fairsharing_records","attributes":{"created_at":"2018-10-12T19:29:23.000Z","updated_at":"2022-07-20T12:52:22.138Z","metadata":{"doi":"10.25504/FAIRsharing.edfd85","name":"Access to Biological Collection Databases Extended for Geosciences","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@mfn-berlin.de"}],"homepage":"http://www.geocase.eu/efg","citations":[{"publication_id":15}],"identifier":1396,"description":"Access to Biological Collection Databases Extended for Geosciences (ABCDEFG) is an XML Schema developed for use with palaeontological, mineralogical and geological digitalized collection data. It extends the ABCD XML Schema used by GBIF (Global Biodiversity Information Facility).","abbreviation":"ABCDEFG","support_links":[{"url":"http://www.geocase.eu/contact","name":"GeoCASe Contact Form","type":"Contact form"},{"url":"http://www.geocase.eu/sites/default/documentation/html/efg.html","name":"Documentation for XSD","type":"Help documentation"},{"url":"https://github.com/tdwg/efg","name":"GitHub Project","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-001323","bsg-s001323"],"name":"FAIRsharing record for: Access to Biological Collection Databases Extended for Geosciences","abbreviation":"ABCDEFG","url":"https://fairsharing.org/10.25504/FAIRsharing.edfd85","doi":"10.25504/FAIRsharing.edfd85","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Access to Biological Collection Databases Extended for Geosciences (ABCDEFG) is an XML Schema developed for use with palaeontological, mineralogical and geological digitalized collection data. It extends the ABCD XML Schema used by GBIF (Global Biodiversity Information Facility).","linked_records":[],"linking_records":[{"linking_record_name":"Biological Collection Access Service","linking_record_id":4209,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14914}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Soil Science","Geology","Paleontology","Earth Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":15,"pubmed_id":null,"title":"History and development of ABCDEFG: a data standard for geosciences","year":2018,"url":"https://doi.org/10.5194/fr-21-47-2018","authors":"Petersen, M., Glöckler, F., Kiessling, W., Döring, M., Fichtmüller, D., Laphakorn, L., Baltruschat, B. \u0026 Hoffmann, J.","journal":"Fossil Record","doi":null,"created_at":"2021-09-30T08:22:22.081Z","updated_at":"2021-09-30T08:22:22.081Z"}],"licence_links":[],"grants":[{"id":7373,"fairsharing_record_id":1396,"organisation_id":1919,"relation":"maintains","created_at":"2021-09-30T09:28:35.408Z","updated_at":"2021-09-30T09:28:35.408Z","grant_id":null,"is_lead":true,"saved_state":{"id":1919,"name":"Museum fur Naturkunde, Berlin, Germany","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":7374,"fairsharing_record_id":1396,"organisation_id":977,"relation":"maintains","created_at":"2021-09-30T09:28:35.450Z","updated_at":"2021-09-30T09:28:35.450Z","grant_id":null,"is_lead":true,"saved_state":{"id":977,"name":"Extension for Geosciences (EFG) Task Group, Biodiversity Information Standards (TDWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1397","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T20:41:30.000Z","updated_at":"2022-07-20T09:16:37.042Z","metadata":{"doi":"10.25504/FAIRsharing.496b25","name":"EarthResourceML","status":"ready","contacts":[{"contact_name":"Jouni Vuollo","contact_email":"jouni.vuollo@gtk.fi"}],"homepage":"http://earthresourceml.org/","citations":[],"identifier":1397,"description":"EarthResourceML is an XML-based data transfer standard for the exchange of digital information for mineral occurrences, mines and mining activity. The model describes the geological features of mineral occurrences, their commodities, mineral resources and reserves. It is also able to describe mines and mining activities, and the production of concentrates, refined products, and waste materials.","abbreviation":"ERML","support_links":[{"url":"CGIsecretariat@mail.cgs.gov.cn","name":"Support Email","type":"Support email"},{"url":"http://earthresourceml.org/earthresourceml/2.0/doc/ERML_HTML_Documentation/","name":"Documentation","type":"Help documentation"},{"url":"https://cgi-iugs.org/project/earthresourceml/","name":"About EarthResourceML","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001545","bsg-s001545"],"name":"FAIRsharing record for: EarthResourceML","abbreviation":"ERML","url":"https://fairsharing.org/10.25504/FAIRsharing.496b25","doi":"10.25504/FAIRsharing.496b25","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EarthResourceML is an XML-based data transfer standard for the exchange of digital information for mineral occurrences, mines and mining activity. The model describes the geological features of mineral occurrences, their commodities, mineral resources and reserves. It is also able to describe mines and mining activities, and the production of concentrates, refined products, and waste materials.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geology","Mineralogy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Mining"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7375,"fairsharing_record_id":1397,"organisation_id":564,"relation":"maintains","created_at":"2021-09-30T09:28:35.510Z","updated_at":"2021-09-30T09:28:35.510Z","grant_id":null,"is_lead":true,"saved_state":{"id":564,"name":"Commission for the Management and Application of Geoscience Information (CGI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1398","type":"fairsharing_records","attributes":{"created_at":"2020-11-19T11:21:26.000Z","updated_at":"2021-11-24T13:17:43.507Z","metadata":{"doi":"10.25504/FAIRsharing.1943d4","name":"Comma-separated Values","status":"ready","homepage":"https://tools.ietf.org/html/rfc4180","identifier":1398,"description":"A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. The use of the comma as a field separator is the source of the name for this file format. A CSV file typically stores tabular data (numbers and text) in plain text, in which case each line will have the same number of fields.","abbreviation":"CSV","support_links":[{"url":"https://github.com/w3c/csvw","name":"W3C csv WG documentation","type":"Github"}],"year_creation":2005},"legacy_ids":["bsg-001546","bsg-s001546"],"name":"FAIRsharing record for: Comma-separated Values","abbreviation":"CSV","url":"https://fairsharing.org/10.25504/FAIRsharing.1943d4","doi":"10.25504/FAIRsharing.1943d4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. The use of the comma as a field separator is the source of the name for this file format. A CSV file typically stores tabular data (numbers and text) in plain text, in which case each line will have the same number of fields.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14729}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7376,"fairsharing_record_id":1398,"organisation_id":3200,"relation":"maintains","created_at":"2021-09-30T09:28:35.547Z","updated_at":"2021-09-30T09:28:35.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":3200,"name":"W3C - CSV on the Web Community Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1399","type":"fairsharing_records","attributes":{"created_at":"2020-05-26T09:27:07.000Z","updated_at":"2022-07-20T09:20:05.233Z","metadata":{"doi":"10.25504/FAIRsharing.d7d475","name":"Evaluated Nuclear Data File","status":"ready","contacts":[{"contact_name":"David Brown","contact_email":"dbrown@bnl.gov"}],"homepage":"https://www.oecd-nea.org/dbdata/data/manual-endf/endf102.pdf","citations":[],"identifier":1399,"description":"To ensure a level of quality required to protect the public, experimental nuclear data results are occasionally evaluated by a Nuclear Data Organization to form a standard nuclear data library. These organizations review multiple measurements and agree upon the highest-quality measurements before publishing the libraries. For unmeasured or very complex data regimes, the parameters of nuclear models are adjusted until the resulting data matches well with critical experiments. The result of an evaluation is almost universally stored as a set of data files in Evaluated Nuclear Data File (ENDF) format.","abbreviation":"ENDF","year_creation":2006},"legacy_ids":["bsg-001484","bsg-s001484"],"name":"FAIRsharing record for: Evaluated Nuclear Data File","abbreviation":"ENDF","url":"https://fairsharing.org/10.25504/FAIRsharing.d7d475","doi":"10.25504/FAIRsharing.d7d475","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To ensure a level of quality required to protect the public, experimental nuclear data results are occasionally evaluated by a Nuclear Data Organization to form a standard nuclear data library. These organizations review multiple measurements and agree upon the highest-quality measurements before publishing the libraries. For unmeasured or very complex data regimes, the parameters of nuclear models are adjusted until the resulting data matches well with critical experiments. The result of an evaluation is almost universally stored as a set of data files in Evaluated Nuclear Data File (ENDF) format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Nuclear Medicine","Data Quality","Virology","Biomedical Science","Epidemiology"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19","Nuclear physics"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7377,"fairsharing_record_id":1399,"organisation_id":326,"relation":"maintains","created_at":"2021-09-30T09:28:35.584Z","updated_at":"2022-07-11T08:34:59.525Z","grant_id":null,"is_lead":true,"saved_state":{"id":326,"name":"Brookhaven National Laboratory","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1522","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:22:57.089Z","metadata":{"doi":"10.25504/FAIRsharing.85k1jm","name":"International Classification of Diseases Version 10 - Procedure Coding System","status":"ready","contacts":[{"contact_name":"Pat Brooks","contact_email":"patricia.brooks2@cms.hhs.gov"}],"homepage":"https://www.cms.gov/Medicare/Coding/ICD10/2020-ICD-10-PCS","identifier":1522,"description":"The ICD-10 Procedure Coding System (ICD-10-PCS) is an international system of medical classification used for procedural coding. The ICD-10-PCS is a procedure classification published by the United States for classifying procedures performed in hospital inpatient health care settings. The ICD-10-PCS replaces the procedural coding portion (Volume 3) of ICD-9-CM.","abbreviation":"ICD-10-PCS","support_links":[{"url":"https://www.cms.gov/Medicare/Coding/ICD10/Downloads/2020-ICD-10-PCS-Guidelines.pdf","name":"ICD-10-PCS Guidelines","type":"Help documentation"},{"url":"https://www.cms.gov/Medicare/Coding/ICD10/Downloads/2020-PCS-Update-Summary-.pdf","name":"ICD-10-PCS 2020 Version Update Summary","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ICD-10_Procedure_Coding_System","name":"ICD-10-PCS Wikipedia entry","type":"Wikipedia"}],"year_creation":2014},"legacy_ids":["bsg-002650","bsg-s002650"],"name":"FAIRsharing record for: International Classification of Diseases Version 10 - Procedure Coding System","abbreviation":"ICD-10-PCS","url":"https://fairsharing.org/10.25504/FAIRsharing.85k1jm","doi":"10.25504/FAIRsharing.85k1jm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICD-10 Procedure Coding System (ICD-10-PCS) is an international system of medical classification used for procedural coding. The ICD-10-PCS is a procedure classification published by the United States for classifying procedures performed in hospital inpatient health care settings. The ICD-10-PCS replaces the procedural coding portion (Volume 3) of ICD-9-CM.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12021},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12452}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science","Epidemiology"],"domains":["Electronic health record","Hospital","Disease","Diagnosis","Classification","Morbidity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7623,"fairsharing_record_id":1522,"organisation_id":443,"relation":"maintains","created_at":"2021-09-30T09:28:44.063Z","updated_at":"2021-09-30T09:28:44.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":443,"name":"Centers for Medicare \u0026 Medicaid Services (CMS), Department of Health and Human Services (HHS), Baltimore, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1524","type":"fairsharing_records","attributes":{"created_at":"2021-03-26T14:08:24.000Z","updated_at":"2023-03-23T13:56:01.314Z","metadata":{"name":"EJP RD Metadata model","status":"in_development","contacts":[{"contact_name":"Rajaram Kaliyaperumal","contact_email":"r.kaliyaperumal@lumc.nl","contact_orcid":"0000-0002-1215-167X"}],"homepage":"https://github.com/ejp-rd-vp/resource-metadata-schema","citations":[],"identifier":1524,"description":"As part of the European Joint Programme (EJP) for Rare Disease, we are developing standards for rare disease registries to describe their metadata that will improve the FAIR-ness of these resources. The core model is designed to represent data about a rare disease patient and biosample registries. The model is based on and builds on existing standards, such as the European Rare Disease Registry Infrastructure and the Common Data Elements from the rare disease community and other more generalised standards for data sharing such as the W3C DCAT vocabulary. We are also working to align with similar schema standarisation efforts such as RD connect semantic model, schema.org, bioschemas, MIABIS and GA4GH (see also schema blocks and phenopackets.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001602","bsg-s001602"],"name":"FAIRsharing record for: EJP RD Metadata model","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/1524","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As part of the European Joint Programme (EJP) for Rare Disease, we are developing standards for rare disease registries to describe their metadata that will improve the FAIR-ness of these resources. The core model is designed to represent data about a rare disease patient and biosample registries. The model is based on and builds on existing standards, such as the European Rare Disease Registry Infrastructure and the Common Data Elements from the rare disease community and other more generalised standards for data sharing such as the W3C DCAT vocabulary. We are also working to align with similar schema standarisation efforts such as RD connect semantic model, schema.org, bioschemas, MIABIS and GA4GH (see also schema blocks and phenopackets.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17641}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Clinical Studies"],"domains":["Rare disease","Biological sample"],"taxonomies":["Homo sapiens"],"user_defined_tags":["registry"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":207,"relation":"undefined"}],"grants":[{"id":7626,"fairsharing_record_id":1524,"organisation_id":834,"relation":"maintains","created_at":"2021-09-30T09:28:44.143Z","updated_at":"2021-09-30T09:28:44.143Z","grant_id":null,"is_lead":true,"saved_state":{"id":834,"name":"EJP RD","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1525","type":"fairsharing_records","attributes":{"created_at":"2021-04-01T23:51:45.000Z","updated_at":"2022-07-20T09:57:07.949Z","metadata":{"doi":"10.25504/FAIRsharing.QxlUSp","name":"ASLS - Soil Profile classifiers","status":"ready","contacts":[{"contact_name":"Andrew Biggs","contact_email":"andrew.biggs@resources.qld.gov.au"},{"contact_name":"Linda Gregory","contact_email":"linda.gregory@csiro.au","contact_orcid":null}],"homepage":"https://github.com/ANZSoilData/def-au-asls-soil-prof","citations":[],"identifier":1525,"description":"Machine-readable representation of the classifiers described in chapter 8 Soil Profile, by R.C. McDonald and R.F. Isbell, in Australian soil and land survey field handbook (3rd edn). A soil profile is a vertical section of a soil from the soil surface through all its horizons to parent material, other consolidated substrate material or selected depth in unconsolidated material. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","abbreviation":"soil-prof","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SOIL-PROF","name":"SOIL-PROF","portal":"BioPortal"}]},"legacy_ids":["bsg-001603","bsg-s001603"],"name":"FAIRsharing record for: ASLS - Soil Profile classifiers","abbreviation":"soil-prof","url":"https://fairsharing.org/10.25504/FAIRsharing.QxlUSp","doi":"10.25504/FAIRsharing.QxlUSp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Machine-readable representation of the classifiers described in chapter 8 Soil Profile, by R.C. McDonald and R.F. Isbell, in Australian soil and land survey field handbook (3rd edn). A soil profile is a vertical section of a soil from the soil surface through all its horizons to parent material, other consolidated substrate material or selected depth in unconsolidated material. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["soil carbon"],"countries":["Australia"],"publications":[{"id":2514,"pubmed_id":null,"title":"Australian Soil and Land Survey Handbook (Third Edition)","year":2009,"url":"https://www.publish.csiro.au/book/5230","authors":"National Committee on Soil and Terrain","journal":"CSIRO Publishing","doi":null,"created_at":"2021-09-30T08:27:08.484Z","updated_at":"2021-09-30T08:27:08.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":2719,"relation":"applies_to_content"}],"grants":[{"id":7627,"fairsharing_record_id":1525,"organisation_id":1980,"relation":"maintains","created_at":"2021-09-30T09:28:44.184Z","updated_at":"2021-09-30T09:28:44.184Z","grant_id":null,"is_lead":false,"saved_state":{"id":1980,"name":"National Committee on Soil and Terrain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1526","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:15:23.793Z","metadata":{"doi":"10.25504/FAIRsharing.reenq1","name":"Cultural Objects Name Authority","status":"ready","contacts":[{"contact_name":"CONA Editors","contact_email":"CONA@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/cona/index.html","identifier":1526,"description":"The Cultural Objects Name Authority (CONA) compiles titles, creator attributions, physical characteristics, depicted subjects, and other metadata about visual works, such as architecture, painting, sculpture, and many other types of works. CONA may contain information about objects that are ceremonial or utilitarian in nature, but are not necessarily labeled as art according to traditional Western aesthetics. Architecture, destroyed works, and works depicted in visual surrogates or other works are also included. CONA also includes Getty Iconography Authority (IA) , which resides in the same editorial system as CONA. The IA includes proper names and other information for named events, themes and narratives from religion/mythology, legendary and fictional characters, themes from literature, works of literature and performing arts, and legendary and fictional places. CONA and IA are part of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","abbreviation":"CONA","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabularies Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/cona/faq.html","name":"CONA and IA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/cona/help.html","name":"How to Use","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/cona/about.html","name":"About","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-000966","bsg-s000966"],"name":"FAIRsharing record for: Cultural Objects Name Authority","abbreviation":"CONA","url":"https://fairsharing.org/10.25504/FAIRsharing.reenq1","doi":"10.25504/FAIRsharing.reenq1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cultural Objects Name Authority (CONA) compiles titles, creator attributions, physical characteristics, depicted subjects, and other metadata about visual works, such as architecture, painting, sculpture, and many other types of works. CONA may contain information about objects that are ceremonial or utilitarian in nature, but are not necessarily labeled as art according to traditional Western aesthetics. Architecture, destroyed works, and works depicted in visual surrogates or other works are also included. CONA also includes Getty Iconography Authority (IA) , which resides in the same editorial system as CONA. The IA includes proper names and other information for named events, themes and narratives from religion/mythology, legendary and fictional characters, themes from literature, works of literature and performing arts, and legendary and fictional places. CONA and IA are part of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Art History","Architecture","Literary Studies","Art","Fine Arts","History","Cultural Studies"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":566,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":567,"relation":"undefined"}],"grants":[{"id":7628,"fairsharing_record_id":1526,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:44.226Z","updated_at":"2021-09-30T09:28:44.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1527","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:55.523Z","metadata":{"doi":"10.25504/FAIRsharing.zvytda","name":"International Classification of Primary Care Version 2 PLUS","status":"ready","contacts":[{"contact_name":"NCCH General Contact","contact_email":"ncch@sydney.edu.au"}],"homepage":"http://sydney.edu.au/health-sciences/ncch/icpc-2-plus/overview.shtml","identifier":1527,"description":"The International Classification of Primary Care Version 2 PLUS (ICPC-2 PLUS, also known as the BEACH coding system) is a clinical terminology which extends the International Classification of Primary Care, Version 2 (ICPC-2). ICPC-2 PLUS can be used in age-sex disease registers, morbidity registers and full electronic health records in primary care. Primarily used in Australia, ICPC-2 PLUS is used within software packages and electronic health record (EHR) systems. It is also used in research projects, including the BEACH (Bettering the Evaluation And Care of Health) program, the national study of general practice activity. The terminology is therefore often referred to as the BEACH coding system. ICPC-2 PLUS has been specifically designed by the FMRC for use in computerised clinical systems, recall systems, disease registers and secondary coding of clinical data. It is not part of the ICPC-2 standard. Charges apply for end users of ICPC-2 PLUS. All end users must sign an ICPC-2 PLUS end user contract before being given access to ICPC-2 PLUS. The World Organization of Family Doctors (WONCA) and the WONCA International Classification Committee (WICC) have no control over it although they do have control over the ICPC classification which the PLUS extension makes use of.","abbreviation":"ICPC-2 PLUS","support_links":[{"url":"https://en.wikipedia.org/wiki/ICPC-2_PLUS","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICPC2P","name":"ICPC2P","portal":"BioPortal"}]},"legacy_ids":["bsg-002654","bsg-s002654"],"name":"FAIRsharing record for: International Classification of Primary Care Version 2 PLUS","abbreviation":"ICPC-2 PLUS","url":"https://fairsharing.org/10.25504/FAIRsharing.zvytda","doi":"10.25504/FAIRsharing.zvytda","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Primary Care Version 2 PLUS (ICPC-2 PLUS, also known as the BEACH coding system) is a clinical terminology which extends the International Classification of Primary Care, Version 2 (ICPC-2). ICPC-2 PLUS can be used in age-sex disease registers, morbidity registers and full electronic health records in primary care. Primarily used in Australia, ICPC-2 PLUS is used within software packages and electronic health record (EHR) systems. It is also used in research projects, including the BEACH (Bettering the Evaluation And Care of Health) program, the national study of general practice activity. The terminology is therefore often referred to as the BEACH coding system. ICPC-2 PLUS has been specifically designed by the FMRC for use in computerised clinical systems, recall systems, disease registers and secondary coding of clinical data. It is not part of the ICPC-2 standard. Charges apply for end users of ICPC-2 PLUS. All end users must sign an ICPC-2 PLUS end user contract before being given access to ICPC-2 PLUS. The World Organization of Family Doctors (WONCA) and the WONCA International Classification Committee (WICC) have no control over it although they do have control over the ICPC classification which the PLUS extension makes use of.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12521}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Primary Health Care","Biomedical Science","Preclinical Studies"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"ICPC-2 PLUS Licencing and Costs","licence_id":415,"licence_url":"http://sydney.edu.au/health-sciences/ncch/icpc-2-plus/overview.shtml","link_id":1115,"relation":"undefined"}],"grants":[{"id":7629,"fairsharing_record_id":1527,"organisation_id":3130,"relation":"maintains","created_at":"2021-09-30T09:28:44.264Z","updated_at":"2021-09-30T09:28:44.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":3130,"name":"University of Sydney, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1541","type":"fairsharing_records","attributes":{"created_at":"2015-06-24T14:57:09.000Z","updated_at":"2023-09-27T15:42:49.218Z","metadata":{"doi":"10.25504/FAIRsharing.npmpqg","name":"Biomedical Research Integrated Domain Group Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"awhite@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/domain-information-module/bridg","citations":[{"doi":"10.1197/jamia.M2556","pubmed_id":18096907,"publication_id":1227}],"identifier":1541,"description":"BRIDG is a domain analysis model that represents the realm of protocol-driven clinical, pre-clinical, translational and basic research. This breadth includes concepts from Common (i.e., concepts shared by all research protocols), Protocol Representation, Study Conduct, Adverse Events, Biospecimen, Molecular Biology, Experiment, Statistical Analysis and Regulatory subdomains. These research concepts provide a shared understanding of biomedical semantics (i.e., what each concept means and how it relates to other concepts) so that these semantics can be easily understood by subject matter experts in the biomedical domain.","abbreviation":"BRIDG","support_links":[{"url":"https://bridgmodel.nci.nih.gov/faq","name":"BRIDG FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"biomedrr@lists.hl7.org","name":"HL7 BR\u0026R Listserv Mailing list","type":"Mailing list"},{"url":"https://bridgmodel.nci.nih.gov/about-bridg","name":"About BRIDG","type":"Help documentation"},{"url":"https://bridgmodel.nci.nih.gov/bridg-news","name":"Release News","type":"Help documentation"}],"year_creation":2003},"legacy_ids":["bsg-000597","bsg-s000597"],"name":"FAIRsharing record for: Biomedical Research Integrated Domain Group Model","abbreviation":"BRIDG","url":"https://fairsharing.org/10.25504/FAIRsharing.npmpqg","doi":"10.25504/FAIRsharing.npmpqg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BRIDG is a domain analysis model that represents the realm of protocol-driven clinical, pre-clinical, translational and basic research. This breadth includes concepts from Common (i.e., concepts shared by all research protocols), Protocol Representation, Study Conduct, Adverse Events, Biospecimen, Molecular Biology, Experiment, Statistical Analysis and Regulatory subdomains. These research concepts provide a shared understanding of biomedical semantics (i.e., what each concept means and how it relates to other concepts) so that these semantics can be easily understood by subject matter experts in the biomedical domain.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17339},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11203},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11809},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12057},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12482},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16964}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens","Metazoa"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1227,"pubmed_id":18096907,"title":"The BRIDG project: a technical report.","year":2007,"url":"http://doi.org/10.1197/jamia.M2556","authors":"Fridsma DB,Evans J,Hastak S,Mead CN","journal":"J Am Med Inform Assoc","doi":"10.1197/jamia.M2556","created_at":"2021-09-30T08:24:36.866Z","updated_at":"2021-09-30T08:24:36.866Z"}],"licence_links":[{"licence_name":"CDISC Intellectual Property Policy","licence_id":110,"licence_url":"https://www.cdisc.org/sites/default/files/2020-09/cdisc_policy_003_intellectual_property_v2019.pdf","link_id":902,"relation":"undefined"}],"grants":[{"id":7659,"fairsharing_record_id":1541,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:45.445Z","updated_at":"2021-09-30T09:28:45.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative, Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":10958,"fairsharing_record_id":1541,"organisation_id":4125,"relation":"undefined","created_at":"2023-09-27T15:01:03.822Z","updated_at":"2023-09-27T15:01:03.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7660,"fairsharing_record_id":1541,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:45.477Z","updated_at":"2021-09-30T09:28:45.477Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"Clinical Data Interchange Standards Consortium","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1542","type":"fairsharing_records","attributes":{"created_at":"2016-09-20T12:11:29.000Z","updated_at":"2021-11-24T13:18:48.883Z","metadata":{"doi":"10.25504/FAIRsharing.pqzyd5","name":"MultiCellular Data Standard","status":"in_development","contacts":[{"contact_name":"Samuel Friedman","contact_email":"samuel.friedman@cammlab.org","contact_orcid":"0000-0001-8003-6860"}],"homepage":"http://multicellds.org","identifier":1542,"description":"MultiCellDS (Multicellular data specification), an outgrowth of the earlier MultiCellXML project, aims to create a data standard for sharing multicellular experimental, simulation, and clinical data. Our ultimate goal is to foster a community that develops user-friendly tools that can read, write, and recombine data into better simulations and analyses for multicellular biology and predictive medicine. As part of this effort, we are developing MultiCellDB: a repository for a curated library of digital cell lines and peer-reviewed simulation and experimental data. A novel part of MultiCellDS is the digital cell line: a digital analogue of experimental cell lines that will help to collect biophysical cell line measurements coming from many research groups and make them readily accessible to an ecosystem of compatible computational models. You can learn more about digital cell lines and other core ideas on this page. We are currently preparing a draft of the upcoming MultiCellDS 1.0 specification. After a multiple rounds of comment and review by a multidisciplinary review panel and the general public, we target an October 2016 release of the data specification and software support tools.","abbreviation":"MultiCellDS","support_links":[{"url":"http://multicellds.org/Core_ideas.php","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000677","bsg-s000677"],"name":"FAIRsharing record for: MultiCellular Data Standard","abbreviation":"MultiCellDS","url":"https://fairsharing.org/10.25504/FAIRsharing.pqzyd5","doi":"10.25504/FAIRsharing.pqzyd5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MultiCellDS (Multicellular data specification), an outgrowth of the earlier MultiCellXML project, aims to create a data standard for sharing multicellular experimental, simulation, and clinical data. Our ultimate goal is to foster a community that develops user-friendly tools that can read, write, and recombine data into better simulations and analyses for multicellular biology and predictive medicine. As part of this effort, we are developing MultiCellDB: a repository for a curated library of digital cell lines and peer-reviewed simulation and experimental data. A novel part of MultiCellDS is the digital cell line: a digital analogue of experimental cell lines that will help to collect biophysical cell line measurements coming from many research groups and make them readily accessible to an ecosystem of compatible computational models. You can learn more about digital cell lines and other core ideas on this page. We are currently preparing a draft of the upcoming MultiCellDS 1.0 specification. After a multiple rounds of comment and review by a multidisciplinary review panel and the general public, we target an October 2016 release of the data specification and software support tools.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16945}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Multicellular"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7662,"fairsharing_record_id":1542,"organisation_id":308,"relation":"funds","created_at":"2021-09-30T09:28:45.558Z","updated_at":"2021-09-30T09:28:45.558Z","grant_id":null,"is_lead":false,"saved_state":{"id":308,"name":"Breast Cancer Research Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1543","type":"fairsharing_records","attributes":{"created_at":"2021-04-12T18:16:08.000Z","updated_at":"2022-03-29T08:51:06.652Z","metadata":{"doi":"10.25504/FAIRsharing.7c8459","name":"Visual Syntax Method","status":"ready","contacts":[{"contact_name":"Steven Vercruysse","contact_email":"steven.vercru@gmail.com","contact_orcid":"0000-0002-3136-7353"}],"homepage":"https://vsm.github.io","citations":[{"publication_id":2492}],"identifier":1543,"description":"VSM (Visual Syntax Method) is a set of principles for representing knowledge in a form that is easily understandable by both humans and machines – esp. by people without specialization in IT or Math.\n| \n- The principles are universal, i.e. they support knowledge/thoughts/ideas on any topic, no matter the complexity.\n- The principles are elementary and intuitive; they work 'like humans think'. This makes VSM scalable, and flexible on par with natural language.\n- The principles describe how to Structure, Layout, and Interpret the meaning of a unit of knowledge 'in VSM form'; i.e. as a meaningful, precise, semi-linear structure that connects readable terms backed by semantic IDs.\n\nVSM has a supporting user-interface called 'vsm-box', for reading and entering knowledge in VSM form.\n \n| For an overview, see https://vsm.github.io\n| For a video, see https://youtu.be/0kHWBZIL04E\n| For conceptual details, see https://www.preprints.org/manuscript/202007.0486/v2\n| For technical details, see https://github.com/vsm/vsm-box/blob/master/Documentation.md","abbreviation":"VSM","support_links":[{"url":"https://github.com/vsm/vsm-box/blob/master/Documentation.md","name":"Online documentation","type":"Github"},{"url":"https://vsm.github.io/","name":"About","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=0kHWBZIL04E","name":"From a natural language sentence to a VSM semantic structure","type":"Video"}],"year_creation":2020,"associated_tools":[{"url":"https://vsm.github.io/demo","name":"VSM demo \u0026 toolkit"},{"url":"https://mi2cast.github.io/causalBuilder","name":"causalBuilder"}]},"legacy_ids":["bsg-001607","bsg-s001607"],"name":"FAIRsharing record for: Visual Syntax Method","abbreviation":"VSM","url":"https://fairsharing.org/10.25504/FAIRsharing.7c8459","doi":"10.25504/FAIRsharing.7c8459","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VSM (Visual Syntax Method) is a set of principles for representing knowledge in a form that is easily understandable by both humans and machines – esp. by people without specialization in IT or Math.\n| \n- The principles are universal, i.e. they support knowledge/thoughts/ideas on any topic, no matter the complexity.\n- The principles are elementary and intuitive; they work 'like humans think'. This makes VSM scalable, and flexible on par with natural language.\n- The principles describe how to Structure, Layout, and Interpret the meaning of a unit of knowledge 'in VSM form'; i.e. as a meaningful, precise, semi-linear structure that connects readable terms backed by semantic IDs.\n\nVSM has a supporting user-interface called 'vsm-box', for reading and entering knowledge in VSM form.\n \n| For an overview, see https://vsm.github.io\n| For a video, see https://youtu.be/0kHWBZIL04E\n| For conceptual details, see https://www.preprints.org/manuscript/202007.0486/v2\n| For technical details, see https://github.com/vsm/vsm-box/blob/master/Documentation.md","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Data model","Curated information","Digital curation","Literature curation","Knowledge representation","Biocuration"],"taxonomies":["Not applicable"],"user_defined_tags":["vsm"],"countries":["Norway"],"publications":[{"id":2492,"pubmed_id":null,"title":"Intuitive Representation of Computable Knowledge","year":2020,"url":"https://www.preprints.org/manuscript/202007.0486/v2","authors":"Steven Vercruysse, Martin Kuiper","journal":"Preprints","doi":"10.20944/preprints202007.0486.v2","created_at":"2021-09-30T08:27:05.586Z","updated_at":"2022-03-29T08:26:32.174Z"},{"id":2495,"pubmed_id":null,"title":"VSM-box: General-purpose Interface for Biocuration and Knowledge Representation","year":2020,"url":"https://www.preprints.org/manuscript/202007.0557/v1","authors":"Steven Vercruysse, John Zobolas, Vasundra Touré, Maria K. Andersen, Martin Kuiper","journal":"Preprints","doi":"10.20944/preprints202007.0557.v1","created_at":"2021-09-30T08:27:05.963Z","updated_at":"2022-03-29T08:26:52.722Z"}],"licence_links":[{"licence_name":"Affero GNU GPL v3.0","licence_id":15,"licence_url":"https://www.gnu.org/licenses/agpl-3.0.en.html","link_id":768,"relation":"undefined"}],"grants":[{"id":7663,"fairsharing_record_id":1543,"organisation_id":2200,"relation":"undefined","created_at":"2021-09-30T09:28:45.600Z","updated_at":"2021-09-30T09:28:45.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":2200,"name":"NTNU - Norwegian University of Science and Technology","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWDA9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ced72c05019041be2ac8d9f629faef8a00d13cf5/vsm-logo-640x640a.png?disposition=inline","exhaustive_licences":false}},{"id":"1544","type":"fairsharing_records","attributes":{"created_at":"2018-09-05T13:26:36.000Z","updated_at":"2023-03-14T18:13:37.589Z","metadata":{"doi":"10.25504/FAIRsharing.m2NU20","name":"Citation File Format","status":"ready","contacts":[{"contact_name":"CFF team","contact_email":"CFFteam@research-software.org"}],"homepage":"https://citation-file-format.github.io/","citations":[],"identifier":1544,"description":"The Citation File Format (CFF) is a human-centric, machine-readable format for software citation metadata. It is developed to provide an easy way for RSEs, and other developers of software in academia, to ensure that they can receive credit for their work; likewise, it provides researchers with access to the necessary metadata for references to the software they use in their research. The Citation File Format follows the Software Citation Principles, and is compatible with the CodeMeta JSON-LD exchange format for software metadata.","abbreviation":"CFF","support_links":[{"url":"https://github.com/citation-file-format/citation-file-format/blob/master/CONTRIBUTING.md","name":"Guidelines for Contributing","type":"Github"},{"url":"https://github.com/citation-file-format","name":"GitHub Repository","type":"Github"},{"url":"https://citation-file-format.github.io/1.0.3/","name":"Specification file","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/citation-file-format/cff-converter-python","name":"cffconvert 1.0.1"},{"url":"https://github.com/citation-file-format/ruby-cff","name":"Ruby CFF Library 0.5.0"},{"url":"https://github.com/citation-file-format/cff-initializer-javascript","name":"cffinit 1.0.0"},{"url":"https://github.com/citation-file-format/doi2cff","name":"DOI 2 citation format file generator 1.0.0"},{"url":"https://github.com/citation-file-format/github2cff","name":"github2cff 0.1"},{"url":"https://github.com/citation-file-format/cff-reader-java","name":"cff-reader-java 1.0.1"}]},"legacy_ids":["bsg-001271","bsg-s001271"],"name":"FAIRsharing record for: Citation File Format","abbreviation":"CFF","url":"https://fairsharing.org/10.25504/FAIRsharing.m2NU20","doi":"10.25504/FAIRsharing.m2NU20","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citation File Format (CFF) is a human-centric, machine-readable format for software citation metadata. It is developed to provide an easy way for RSEs, and other developers of software in academia, to ensure that they can receive credit for their work; likewise, it provides researchers with access to the necessary metadata for references to the software they use in their research. The Citation File Format follows the Software Citation Principles, and is compatible with the CodeMeta JSON-LD exchange format for software metadata.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Citation","Publication","Software"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Publishing"],"countries":["France","Germany","Lithuania","Netherlands","Norway","United Kingdom"],"publications":[{"id":2446,"pubmed_id":null,"title":"Citation File Format (CFF) - Specifications","year":2018,"url":"https://doi.org/10.5281/zenodo.1003149","authors":"Druskat, Stephan; Chue Hong, Neil; Haines, Robert; Baker, James; Gruenpeter, Morane; Silva, Raniere; Bast, Radovan; Crusoe, Michael R.","journal":"Zenodo","doi":null,"created_at":"2021-09-30T08:27:00.019Z","updated_at":"2021-09-30T08:27:00.019Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":143,"relation":"undefined"}],"grants":[{"id":7664,"fairsharing_record_id":1544,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:45.632Z","updated_at":"2021-09-30T09:30:10.430Z","grant_id":584,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/N006410/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1518","type":"fairsharing_records","attributes":{"created_at":"2021-04-22T21:19:48.000Z","updated_at":"2022-08-02T08:19:04.557Z","metadata":{"doi":"10.25504/FAIRsharing.5164e7","name":"Marine Regions","status":"ready","contacts":[{"contact_name":"Lennert Schepers","contact_email":"info@marineregions.org","contact_orcid":"0000-0002-6145-8248"}],"homepage":"https://marineregions.org","citations":[],"identifier":1518,"description":"The purpose of Marine Regions is to create a standard, relational list of geographic names, coupled with information and maps of the geographic location of these features. The objectives are to capture all geographic marine names worldwide, including ocean basins, seas, seamounts, sandbanks, ridges, bays and other marine geographical place names and attributes, and to display univocally the boundaries of marine biogeographic or other managed marine areas in order to facilitate marine data management, marine (bio)geographic research and the management of marine areas.","abbreviation":"Marine Regions","support_links":[{"url":"info@marineregions.org","name":"Marine Regions email","type":"Support email"},{"url":"http://www.vliz.be/en/imis?module=dataset\u0026dasid=6293","name":"MarineRegions database metadata description","type":"Help documentation"},{"url":"https://marineregions.org/gazetteer.php?p=rss","name":"Marine Regions GeoRSS","type":"Blog/News"},{"url":"https://twitter.com/marineregions","name":"Marine Regions twitter","type":"Twitter"}],"year_creation":2005,"associated_tools":[{"url":"https://github.com/ropensci/mregions/","name":"mregions R Package"}]},"legacy_ids":["bsg-001609","bsg-s001609"],"name":"FAIRsharing record for: Marine Regions","abbreviation":"Marine Regions","url":"https://fairsharing.org/10.25504/FAIRsharing.5164e7","doi":"10.25504/FAIRsharing.5164e7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of Marine Regions is to create a standard, relational list of geographic names, coupled with information and maps of the geographic location of these features. The objectives are to capture all geographic marine names worldwide, including ocean basins, seas, seamounts, sandbanks, ridges, bays and other marine geographical place names and attributes, and to display univocally the boundaries of marine biogeographic or other managed marine areas in order to facilitate marine data management, marine (bio)geographic research and the management of marine areas.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13292}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Geography","Geophysics","Data Management","Marine Biology","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","maritime policy"],"countries":["Belgium"],"publications":[{"id":711,"pubmed_id":null,"title":"Marine Regions: Towards a Global Standard for Georeferenced Marine Names and Boundaries","year":2014,"url":"https://doi.org/10.1080/01490419.2014.902881","authors":"Simon Claus, Nathalie De Hauwere, Bart Vanhoorne, Pieter Deckers, Francisco Souza Dias, Francisco Hernandez \u0026 Jan Mees","journal":"Marine Geodesy","doi":null,"created_at":"2021-09-30T08:23:38.387Z","updated_at":"2021-09-30T08:23:38.387Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":282,"relation":"undefined"}],"grants":[{"id":7620,"fairsharing_record_id":1518,"organisation_id":2777,"relation":"maintains","created_at":"2021-09-30T09:28:43.951Z","updated_at":"2021-09-30T09:28:43.951Z","grant_id":null,"is_lead":true,"saved_state":{"id":2777,"name":"The Flanders Marine Institute (VLIZ), Belgium","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8677,"fairsharing_record_id":1518,"organisation_id":3338,"relation":"associated_with","created_at":"2022-01-06T13:07:43.652Z","updated_at":"2022-01-06T13:07:43.652Z","grant_id":null,"is_lead":false,"saved_state":{"id":3338,"name":"European Marine Biological Research Centre","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":8396,"fairsharing_record_id":1518,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:32:26.782Z","updated_at":"2021-09-30T09:32:26.829Z","grant_id":1623,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"I000819N-LIFEWATCH","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7619,"fairsharing_record_id":1518,"organisation_id":1716,"relation":"undefined","created_at":"2021-09-30T09:28:43.909Z","updated_at":"2021-09-30T09:28:43.909Z","grant_id":null,"is_lead":false,"saved_state":{"id":1716,"name":"LifeWatch Belgium","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7617,"fairsharing_record_id":1518,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:28:43.839Z","updated_at":"2021-09-30T09:30:21.914Z","grant_id":677,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"GOH3417N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8033,"fairsharing_record_id":1518,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:30:31.671Z","updated_at":"2021-09-30T09:30:31.721Z","grant_id":748,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"I002021N-LIFEWATCH","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1519","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2021-11-24T13:14:32.150Z","metadata":{"doi":"10.25504/FAIRsharing.31venv","name":"DebugIT Core Ontology","status":"deprecated","contacts":[{"contact_name":"Daniel Schober","contact_email":"dschober@ipb-halle.de"}],"homepage":"http://dx.doi.org/10.3233/978-1-60750-588-4-1060","identifier":1519,"description":"The Debugit Core Ontology (dco) covers the complete conceptual space of the domain of interest in the DebugIT project. It focuses on the management of antibiotics resistance within hospitals and infectious diseases to cover the clinical monitoring use cases. The ontology shall provide a semantic reference as logically defined classes in a formal and computer understandable format. It is supposed to formally represent all basic kinds of entities in the domain of interest, together with their invariant and context-independent properties. The ontology is therefore distinct from the representation of clinical knowledge as targeted by the DebugIT WP 4. Instead, it has a supportive semantic glue Function as it provides standardized and formally described meaning identifiers across the whole project, hence serving the Interoperability platform as well.","abbreviation":"DCO-DEBUGIT","support_links":[{"url":"https://healthmanagement.org/c/healthmanagement/issuearticle/the-debugit-project","name":"DebugIT Article","type":"Help documentation"}],"year_creation":2013,"deprecation_date":"2021-03-24","deprecation_reason":"This resource no longer has a homepage, project page, or download link. No up-to-date information can be found for it."},"legacy_ids":["bsg-000852","bsg-s000852"],"name":"FAIRsharing record for: DebugIT Core Ontology","abbreviation":"DCO-DEBUGIT","url":"https://fairsharing.org/10.25504/FAIRsharing.31venv","doi":"10.25504/FAIRsharing.31venv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Debugit Core Ontology (dco) covers the complete conceptual space of the domain of interest in the DebugIT project. It focuses on the management of antibiotics resistance within hospitals and infectious diseases to cover the clinical monitoring use cases. The ontology shall provide a semantic reference as logically defined classes in a formal and computer understandable format. It is supposed to formally represent all basic kinds of entities in the domain of interest, together with their invariant and context-independent properties. The ontology is therefore distinct from the representation of clinical knowledge as targeted by the DebugIT WP 4. Instead, it has a supportive semantic glue Function as it provides standardized and formally described meaning identifiers across the whole project, hence serving the Interoperability platform as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Infectious Disease Medicine","Biomedical Science"],"domains":["Antimicrobial"],"taxonomies":["All"],"user_defined_tags":["Antimicrobial resistance"],"countries":["Belgium","France","Germany","Switzerland"],"publications":[{"id":2305,"pubmed_id":null,"title":"The DebugIT Core Ontology: semantic integration of antibiotics resistance patterns","year":2010,"url":"http://dx.doi.org/10.3233/978-1-60750-588-4-1060","authors":"Daniel Schober, Martin Boeker, Jessica Bullenkamp, Csaba Huszka, Kristof Depraetere, Douglas Teodoro, Nadia Nadah, Remy Choquet, Christel Daniel, Stefan Schulz","journal":"Studies in Health Technology and Informatics, Volume 160: MEDINFO 2010","doi":null,"created_at":"2021-09-30T08:26:42.702Z","updated_at":"2021-09-30T08:26:42.702Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1520","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-07-20T12:52:22.070Z","metadata":{"doi":"10.25504/FAIRsharing.6gs502","name":"Stuff Ontology","status":"ready","contacts":[{"contact_name":"Maria Keet","contact_email":"mkeet@cs.uct.ac.za"}],"homepage":"http://www.meteck.org/stuff.html","citations":[{"publication_id":2550}],"identifier":1520,"description":"Multiple domain ontologies have various representations of types of stuff--also called matter, mass, or substance--such as milk, alcohol, and mud. This is modelled in a range of different ways that are not quite compatible with each other as they do not adhere to a single structured approach, at times not even within an ontology itself. The Stuff Ontology is a 'bridging' core ontology describing categories of stuff and formalised in OWL for purposes of implementability. It stands on its own, but there are also versions that link to the DOLCE and BFO foundational ontologies, and one with examples to illustrate classification of stuffs (among others, mayonnaise and gold). This then also resolves the main type of interoperability issues with stuffs in domain ontologies, thereby also contributing to better ontology quality.","abbreviation":"STUFF","year_creation":2015},"legacy_ids":["bsg-000946","bsg-s000946"],"name":"FAIRsharing record for: Stuff Ontology","abbreviation":"STUFF","url":"https://fairsharing.org/10.25504/FAIRsharing.6gs502","doi":"10.25504/FAIRsharing.6gs502","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Multiple domain ontologies have various representations of types of stuff--also called matter, mass, or substance--such as milk, alcohol, and mud. This is modelled in a range of different ways that are not quite compatible with each other as they do not adhere to a single structured approach, at times not even within an ontology itself. The Stuff Ontology is a 'bridging' core ontology describing categories of stuff and formalised in OWL for purposes of implementability. It stands on its own, but there are also versions that link to the DOLCE and BFO foundational ontologies, and one with examples to illustrate classification of stuffs (among others, mayonnaise and gold). This then also resolves the main type of interoperability issues with stuffs in domain ontologies, thereby also contributing to better ontology quality.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science"],"domains":["Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":2550,"pubmed_id":null,"title":"A core ontology of macroscopic stuff","year":2014,"url":"http://www.meteck.org/files/StuffKindsEKAW14.pdf","authors":"Keet, C.M.","journal":"19th International Conference on Knowledge Engineering and Knowledge Management (EKAW'14). K. Janowicz et al. (Eds.). 24-28 Nov, 2014, Linkoping, Sweden. Springer LNAI vol. 8876, 209-224.","doi":null,"created_at":"2021-09-30T08:27:12.743Z","updated_at":"2021-09-30T08:27:12.743Z"},{"id":2561,"pubmed_id":null,"title":"Relating some stuff to other stuff","year":2016,"url":"http://www.meteck.org/files/StuffRelationsEKAW16.pdf","authors":"Keet, C.M.","journal":"20th International Conference on Knowledge Engineering and Knowledge Management (EKAW'16). Springer LNAI, 19-23 November, Bologna, Italy.","doi":null,"created_at":"2021-09-30T08:27:14.112Z","updated_at":"2021-09-30T08:27:14.112Z"}],"licence_links":[],"grants":[{"id":7621,"fairsharing_record_id":1520,"organisation_id":3039,"relation":"maintains","created_at":"2021-09-30T09:28:43.993Z","updated_at":"2021-09-30T09:28:43.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":3039,"name":"University of Cape Town, Rondebosch, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1521","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:30:19.000Z","updated_at":"2022-07-20T11:45:05.901Z","metadata":{"doi":"10.25504/FAIRsharing.LQfdaV","name":"Art \u0026 Architecture Thesaurus","status":"ready","contacts":[{"contact_name":"AAT editors","contact_email":"AAT@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/aat/index.html","citations":[],"identifier":1521,"description":"The Getty Art \u0026 Architecture Thesaurus (AAT) is a thesaurus containing generic terms, dates, relationships, sources, and notes for work types, roles, materials, styles, cultures, techniques, and other concepts related to art, architecture, and other cultural heritage. The AAT is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture. The AAT contains generic terms; it contains no iconographic subjects and no proper names. That is, each concept is a case of many (a generic thing), not a case of one (a specific thing).","abbreviation":"AAT","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabulary Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/aat/aat_faq.html","name":"AAT FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/aat/help.html","name":"How to Use","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/lod/index.html","name":"Getty Vocabularies as Linked Open Data","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/aat/about.html","name":"About","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001491","bsg-s001491"],"name":"FAIRsharing record for: Art \u0026 Architecture Thesaurus","abbreviation":"AAT","url":"https://fairsharing.org/10.25504/FAIRsharing.LQfdaV","doi":"10.25504/FAIRsharing.LQfdaV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Getty Art \u0026 Architecture Thesaurus (AAT) is a thesaurus containing generic terms, dates, relationships, sources, and notes for work types, roles, materials, styles, cultures, techniques, and other concepts related to art, architecture, and other cultural heritage. The AAT is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture. The AAT contains generic terms; it contains no iconographic subjects and no proper names. That is, each concept is a case of many (a generic thing), not a case of one (a specific thing).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Art History","Architecture","Art","Fine Arts","History","Cultural Studies","Building Design"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Built Environment"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":471,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":473,"relation":"undefined"}],"grants":[{"id":7622,"fairsharing_record_id":1521,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:44.031Z","updated_at":"2021-09-30T09:28:44.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1547","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-14T10:07:13.238Z","metadata":{"doi":"10.25504/FAIRsharing.9kahy4","name":"GenBank Nucleotide Sequence Database","status":"ready","contacts":[{"contact_name":"NCBI Helpdesk","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genbank/","citations":[{"doi":"10.1093/nar/gks1195","pubmed_id":23193287,"publication_id":3558}],"identifier":1547,"description":"GenBank ® is the NIH genetic sequence database of annotated collections of all publicly available DNA sequences. GenBank is part of an International Nucleotide Sequence Database Collaboration, which comprises the DNA DataBank of Japan (DDBJ), the European Nucleotide Archive (ENA), and GenBank at NCBI. The GenBank database is designed to provide and encourage access within the scientific community to the most up-to-date and comprehensive DNA sequence information, and release available versioned collections every two months from the ftp site. As part of the International Nucleotide Sequence Database Collaboration (INSDC), a long-standing foundational initiative (operating between DDBJ, EMBL-EBI and NCBI), the INSDC covers the spectrum of data raw reads, through alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. GenBank data submission types include: mRNA sequences, Prokaryotic genes, Eukaryotic genes, rRNA and/or ITS, viral sequences, transposon or insertion sequences, microsatellite sequences, pseudogenes, cloning vectors, phylogenetic or population sets, and non-coding RNAs.\n","abbreviation":"GenBank","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/genbank/genomesubmit/#metadata","type":"manual/automated","notes":"Metadata Required for all Genome Submissions"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/books/NBK25501/","name":"Entrez Programming Utilities Help","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/submit_types/","name":"GenBank Submission Types","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/submit/","name":"How to Submit","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/update/","name":"Updating GenBank records","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK566998/","name":"GenBank Submissions Handbook","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/blast/producttable.shtml","name":"Using BLAST at GenBank","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GenBank","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"update@ncbi.nlm.nih.gov","name":"Submission Update Support","type":"Support email"},{"url":"submit-help@ncbi.nlm.nih.gov","name":"General/Help","type":"Support email"},{"url":"genomes@ncbi.nlm.nih.gov","name":"Genome Update Support","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK53707/","name":"GenBank Submissions Handbook","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/wgsfaq/","name":"Whole Genome Sequence (WGS) FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://submit.ncbi.nlm.nih.gov/structcomment/genomes/","name":"GenBank Structured Comment Template","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/asndisc/","name":"Submission Discrepancy Report","type":"Help documentation"},{"url":"gb-admin@ncbi.nlm.nih.gov","name":"Sequence Update/Revision Support","type":"Support email"},{"url":"https://submit.ncbi.nlm.nih.gov/templates/","name":"Genome Information Template Files","type":"Other"},{"url":"https://www.youtube.com/watch?v=BCG-M5k-gvE","name":"E-Utilities Introduction","type":"Video"},{"url":"https://www.ncbi.nlm.nih.gov/genbank/statistics","name":"GenBank and WGS Statistics","type":"Other"},{"url":"https://ncbiinsights.ncbi.nlm.nih.gov/2021/09/30/genome-quality-service/","name":"New Genome Quality Service","type":"Other"},{"url":"https://www.ncbi.nlm.nih.gov/datasets/docs/v1/how-tos/","name":"\"How To\" Guides","type":"Help documentation"},{"url":"https://ncbiinsights.ncbi.nlm.nih.gov/","name":"NCBI Insights \u0026 Announcements","type":"Blog/News"},{"url":"https://www.ncbi.nlm.nih.gov/Taxonomy/Utils/wprintgc.cgi","name":"List of Genetic Codes","type":"Help documentation"}],"year_creation":1982,"data_versioning":"yes","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/genbank/table2asn/","name":"tbl2asn2 (Command-line Program Submission Tool)"},{"url":"https://www.ncbi.nlm.nih.gov/tools/gbench/?utm_source=blog\u0026utm_medium=referrer\u0026utm_campaign=gbench\u0026utm_term=submissionwizard\u0026utm_content=20201109link3","name":"Genome Workbench (Edit \u0026 Visualization Tool)"},{"url":"https://www.ncbi.nlm.nih.gov/blast","name":"BLAST (Basic Local Alignment Search Tool)"},{"url":"https://github.com/nawrockie/vadr","name":"VADR (Viral Annotation DefineR), GenBank Viral Sequence Submission Annotation Tool"},{"url":"https://www.ncbi.nlm.nih.gov/genome/annotation_prok/","name":"PGAP (NCBI Prokaryotic Genome Annotation Pipeline Tool)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010528","name":"re3data:r3d100010528","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002760","name":"SciCrunch:RRID:SCR_002760","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/home/about/policies/#data","type":"open","notes":"Molecular Data Accessibility \u0026 Usage"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/books/NBK566998/#qkstrt_Kind_of_Data.what_kind_of_data_wi","type":"open","notes":"GenBank Submission Types"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000001","bsg-d000001"],"name":"FAIRsharing record for: GenBank Nucleotide Sequence Database","abbreviation":"GenBank","url":"https://fairsharing.org/10.25504/FAIRsharing.9kahy4","doi":"10.25504/FAIRsharing.9kahy4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenBank ® is the NIH genetic sequence database of annotated collections of all publicly available DNA sequences. GenBank is part of an International Nucleotide Sequence Database Collaboration, which comprises the DNA DataBank of Japan (DDBJ), the European Nucleotide Archive (ENA), and GenBank at NCBI. The GenBank database is designed to provide and encourage access within the scientific community to the most up-to-date and comprehensive DNA sequence information, and release available versioned collections every two months from the ftp site. As part of the International Nucleotide Sequence Database Collaboration (INSDC), a long-standing foundational initiative (operating between DDBJ, EMBL-EBI and NCBI), the INSDC covers the spectrum of data raw reads, through alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations. GenBank data submission types include: mRNA sequences, Prokaryotic genes, Eukaryotic genes, rRNA and/or ITS, viral sequences, transposon or insertion sequences, microsatellite sequences, pseudogenes, cloning vectors, phylogenetic or population sets, and non-coding RNAs.\n","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17565},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10759},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10925},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11049},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12295},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12570},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12953}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Metagenomics","Genomics","Bioinformatics","Data Management","Virology","Transcriptomics","Epidemiology"],"domains":["Nucleic acid sequence","DNA sequence data","Annotation","Genomic assembly","Deoxyribonucleic acid","Nucleotide","Whole genome sequencing","Sequencing","Disease","Messenger RNA","Gene","Genome","Sequence alteration","Data storage"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Japan","United States","European Union"],"publications":[{"id":18,"pubmed_id":22144687,"title":"GenBank.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1202","authors":"Benson DA., Karsch-Mizrachi I., Clark K., Lipman DJ., Ostell J., Sayers EW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1202","created_at":"2021-09-30T08:22:22.372Z","updated_at":"2021-09-30T08:22:22.372Z"},{"id":19,"pubmed_id":21071399,"title":"GenBank.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1079","authors":"Benson DA., Karsch-Mizrachi I., Lipman DJ., Ostell J., Sayers EW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1079","created_at":"2021-09-30T08:22:22.463Z","updated_at":"2021-09-30T08:22:22.463Z"},{"id":34,"pubmed_id":18073190,"title":"GenBank.","year":2007,"url":"http://doi.org/10.1093/nar/gkm929","authors":"Benson DA., Karsch-Mizrachi I., Lipman DJ., Ostell J., Wheeler DL.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm929","created_at":"2021-09-30T08:22:23.972Z","updated_at":"2021-09-30T08:22:23.972Z"},{"id":150,"pubmed_id":18940867,"title":"GenBank.","year":2008,"url":"http://doi.org/10.1093/nar/gkn723","authors":"Benson DA., Karsch-Mizrachi I., Lipman DJ., Ostell J., Sayers EW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn723","created_at":"2021-09-30T08:22:36.289Z","updated_at":"2021-09-30T08:22:36.289Z"},{"id":531,"pubmed_id":23193287,"title":"GenBank.","year":2012,"url":"http://doi.org/10.1093/nar/gks1195","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1195","created_at":"2021-09-30T08:23:17.973Z","updated_at":"2021-09-30T11:28:47.158Z"},{"id":714,"pubmed_id":24217914,"title":"GenBank.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1030","authors":"Benson DA,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1030","created_at":"2021-09-30T08:23:38.702Z","updated_at":"2021-09-30T11:28:49.234Z"},{"id":815,"pubmed_id":29140468,"title":"GenBank","year":2017,"url":"http://doi.org/10.1093/nar/gkx1094","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Ostell J,Pruitt K,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1094","created_at":"2021-09-30T08:23:49.901Z","updated_at":"2021-09-30T11:28:51.967Z"},{"id":816,"pubmed_id":31665464,"title":"GenBank.","year":2019,"url":"http://doi.org/10.1093/nar/gkz956","authors":"Sayers EW,Cavanaugh M,Clark K,Ostell J,Pruitt KD,Karsch-Mizrachi I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz956","created_at":"2021-09-30T08:23:50.009Z","updated_at":"2021-09-30T11:28:52.067Z"},{"id":959,"pubmed_id":30365038,"title":"GenBank.","year":2018,"url":"http://doi.org/10.1093/nar/gky989","authors":"Sayers EW,Cavanaugh M,Clark K,Ostell J,Pruitt KD,Karsch-Mizrachi I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky989","created_at":"2021-09-30T08:24:06.128Z","updated_at":"2021-09-30T11:28:55.967Z"},{"id":960,"pubmed_id":27899564,"title":"GenBank.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1070","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1070","created_at":"2021-09-30T08:24:06.269Z","updated_at":"2021-09-30T11:28:56.069Z"},{"id":961,"pubmed_id":26590407,"title":"GenBank.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1276","authors":"Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1276","created_at":"2021-09-30T08:24:06.369Z","updated_at":"2021-09-30T11:28:56.151Z"},{"id":962,"pubmed_id":25414350,"title":"GenBank.","year":2014,"url":"http://doi.org/10.1093/nar/gku1216","authors":"Benson DA,Clark K,Karsch-Mizrachi I,Lipman DJ,Ostell J,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1216","created_at":"2021-09-30T08:24:06.471Z","updated_at":"2021-09-30T11:28:56.251Z"},{"id":3557,"pubmed_id":null,"title":"VADR: validation and annotation of virus sequence submissions to GenBank","year":2020,"url":"http://dx.doi.org/10.1186/s12859-020-3537-3","authors":"Schäffer, Alejandro A.; Hatcher, Eneida L.; Yankie, Linda; Shonkwiler, Lara; Brister, J. Rodney; Karsch-Mizrachi, Ilene; Nawrocki, Eric P.; ","journal":"BMC Bioinformatics","doi":"10.1186/s12859-020-3537-3","created_at":"2022-08-18T00:01:54.660Z","updated_at":"2022-08-18T00:01:54.660Z"},{"id":3558,"pubmed_id":23193287,"title":"GenBank","year":2012,"url":"http://dx.doi.org/10.1093/nar/gks1195","authors":"Benson, Dennis A.; Cavanaugh, Mark; Clark, Karen; Karsch-Mizrachi, Ilene; Lipman, David J.; Ostell, James; Sayers, Eric W.; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1195","created_at":"2022-08-18T00:21:41.231Z","updated_at":"2022-08-18T00:21:41.231Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":747,"relation":"undefined"},{"licence_name":"Nucleotide Sequence Database Policies","licence_id":969,"licence_url":"https://www.insdc.org/policy/","link_id":2810,"relation":"undefined"}],"grants":[{"id":1,"fairsharing_record_id":1547,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:24:14.934Z","updated_at":"2021-09-30T09:24:14.934Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2,"fairsharing_record_id":1547,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:14.979Z","updated_at":"2021-09-30T09:24:14.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1548","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:43.363Z","metadata":{"doi":"10.25504/FAIRsharing.wvp1t7","name":"GlycoNAVI","status":"ready","contacts":[{"contact_name":"Issaku Yamada","contact_email":"issaku@noguchi.or.jp","contact_orcid":"0000-0001-9504-189X"}],"homepage":"https://glyconavi.org/","citations":[],"identifier":1548,"description":"GlycoNAVI is a repository of data relevant to carbohydrate research. It contains a free suite of carbohydrate research tools organized by domain, including glycans, proteins, lipids, genes, diseases and samples.","abbreviation":"GlycoNAVI","data_curation":{"type":"manual"},"support_links":[{"url":"glyconavi@noguchi.or.jp","name":"General Contact","type":"Support email"},{"url":"https://glyconavi.github.io/doc/","name":"Documentation","type":"Github"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://glyconavi.org/TCarp/","name":"TCarp 0.9.0"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000002","bsg-d000002"],"name":"FAIRsharing record for: GlycoNAVI","abbreviation":"GlycoNAVI","url":"https://fairsharing.org/10.25504/FAIRsharing.wvp1t7","doi":"10.25504/FAIRsharing.wvp1t7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoNAVI is a repository of data relevant to carbohydrate research. It contains a free suite of carbohydrate research tools organized by domain, including glycans, proteins, lipids, genes, diseases and samples.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11756}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Organic Chemistry","Chemistry","Life Science","Glycomics"],"domains":["Protecting group"],"taxonomies":["All"],"user_defined_tags":["Non-carbohydrate moieties"],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2025,"relation":"undefined"}],"grants":[{"id":4,"fairsharing_record_id":1548,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:24:15.054Z","updated_at":"2021-09-30T09:24:15.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3,"fairsharing_record_id":1548,"organisation_id":2813,"relation":"maintains","created_at":"2021-09-30T09:24:15.017Z","updated_at":"2021-09-30T09:24:15.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":2813,"name":"The Noguchi Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBam9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f07bbe3383ced35654e4cce0cbb98a3abba364b8/GlycoNAVI.png?disposition=inline","exhaustive_licences":false}},{"id":"1532","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:39.000Z","updated_at":"2021-11-24T13:17:27.605Z","metadata":{"doi":"10.25504/FAIRsharing.zve9cc","name":"Proteasix Ontology","status":"uncertain","contacts":[{"contact_name":"Mercedes Arguello Casteleiro","contact_email":"m.arguello@manchester.ac.uk"}],"homepage":"https://dx.doi.org/10.1186%2Fs13326-016-0078-9","citations":[{"doi":"10.1186/s13326-016-0078-9","pubmed_id":27259807,"publication_id":2274}],"identifier":1532,"description":"The Proteasix Ontology (PxO) is an ontology that supports the Proteasix tool; an open-source peptide-centric tool that can be used to predict automatically and in a large-scale fashion in silico the proteases involved in the generation of proteolytic cleavage fragments (peptides). PxO aims to describe the known proteases and their target cleavage sites, to enable the description of proteolytic cleavage fragments as the outputs of observed and predicted proteolysis, and to use knowledge about the function, species and cellular location of a protease and protein substrate to support the prioritisation of proteases in observed and predicted proteolysis. Although the Proteasix project website remains active, download / browse links to the ontology are no longer available and the owners of the resource have not confirmed its current status. Therefore we have marked this resource with an Uncertain status. Please get in touch if you can provide FAIRsharing with up-to-date information regarding this resource.","abbreviation":"PxO","support_links":[{"url":"proteasix@gmail.com","name":"General Contact","type":"Support email"}],"year_creation":2015,"associated_tools":[{"url":"http://www.proteasix.org/","name":"Proteasix"}]},"legacy_ids":["bsg-001048","bsg-s001048"],"name":"FAIRsharing record for: Proteasix Ontology","abbreviation":"PxO","url":"https://fairsharing.org/10.25504/FAIRsharing.zve9cc","doi":"10.25504/FAIRsharing.zve9cc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Proteasix Ontology (PxO) is an ontology that supports the Proteasix tool; an open-source peptide-centric tool that can be used to predict automatically and in a large-scale fashion in silico the proteases involved in the generation of proteolytic cleavage fragments (peptides). PxO aims to describe the known proteases and their target cleavage sites, to enable the description of proteolytic cleavage fragments as the outputs of observed and predicted proteolysis, and to use knowledge about the function, species and cellular location of a protease and protein substrate to support the prioritisation of proteases in observed and predicted proteolysis. Although the Proteasix project website remains active, download / browse links to the ontology are no longer available and the owners of the resource have not confirmed its current status. Therefore we have marked this resource with an Uncertain status. Please get in touch if you can provide FAIRsharing with up-to-date information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biology"],"domains":["Proteolytic digest","Protein cleavage site prediction","Protease cleavage","Protease site"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","United Kingdom"],"publications":[{"id":2274,"pubmed_id":27259807,"title":"The Proteasix Ontology.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0078-9","authors":"Arguello Casteleiro M,Klein J,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0078-9","created_at":"2021-09-30T08:26:36.957Z","updated_at":"2021-09-30T08:26:36.957Z"}],"licence_links":[],"grants":[{"id":7638,"fairsharing_record_id":1532,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:44.636Z","updated_at":"2021-09-30T09:28:44.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7639,"fairsharing_record_id":1532,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:44.672Z","updated_at":"2021-09-30T09:31:38.526Z","grant_id":1262,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"603288","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7640,"fairsharing_record_id":1532,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:44.710Z","updated_at":"2021-09-30T09:28:44.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7641,"fairsharing_record_id":1532,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:28:44.769Z","updated_at":"2021-09-30T09:28:44.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1533","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T09:49:03.201Z","metadata":{"doi":"10.25504/FAIRsharing.h1gmb7","name":"Durum Wheat","status":"ready","contacts":[{"contact_name":"Patrice Buche","contact_email":"patrice.buche@supagro.inra.fr"}],"homepage":"https://www6.inrae.fr/cati-icat-atweb/Ontologies/Durum-wheat","identifier":1533,"description":"The durum wheat ontology (DURUM_WHEAT) is dedicated to the sustainability analysis of the durum wheat chain. Current data available on this ontology concern durum wheat quality control criteria used in different countries (Moisture content rate, chemical content, etc.).","abbreviation":"DURUM_WHEAT","year_creation":2016},"legacy_ids":["bsg-001101","bsg-s001101"],"name":"FAIRsharing record for: Durum Wheat","abbreviation":"DURUM_WHEAT","url":"https://fairsharing.org/10.25504/FAIRsharing.h1gmb7","doi":"10.25504/FAIRsharing.h1gmb7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The durum wheat ontology (DURUM_WHEAT) is dedicated to the sustainability analysis of the durum wheat chain. Current data available on this ontology concern durum wheat quality control criteria used in different countries (Moisture content rate, chemical content, etc.).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agriculture","Life Science"],"domains":["Food","Quality control"],"taxonomies":["Triticum durum"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1214,"relation":"undefined"}],"grants":[{"id":7643,"fairsharing_record_id":1533,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:44.843Z","updated_at":"2021-09-30T09:28:44.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7642,"fairsharing_record_id":1533,"organisation_id":2908,"relation":"maintains","created_at":"2021-09-30T09:28:44.807Z","updated_at":"2021-09-30T09:28:44.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":2908,"name":"UMR AGIR (AGroecology, Innovations, Ruralities), Institut national de la recherche agronomique (INRA), Paris, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1534","type":"fairsharing_records","attributes":{"created_at":"2020-07-10T18:52:50.000Z","updated_at":"2022-07-20T12:38:41.741Z","metadata":{"doi":"10.25504/FAIRsharing.kwsfg2","name":"BACPAC Minimum Dataset: Required Baseline Demographic and Outcomes Measures","status":"ready","contacts":[{"contact_name":"Anna Hoffmeyer","contact_email":"bacpac_dac@unc.edu"}],"homepage":"https://heal.nih.gov/research/clinical-research/back-pain","identifier":1534,"description":"This document contains domains and instruments for the longitudinal assessments in the BACPAC Minimum Dataset. Where applicable, core data elements of the BACPAC Minimum Dataset are taken from previously validated instruments (e.g., PROMIS measures). The BACPAC Minimum Dataset is an expanded version of the HEAL Initiative Core Data Elements. In addition to the longitudinal assessments, the BACPAC Minimum Dataset includes a collection of demographic and baseline characteristic core data elements, which are administered to study participants at baseline only.","abbreviation":null,"support_links":[{"url":"BACPAC-NIH@mail.nih.gov","name":"BACPAC Contact","type":"Support email"}],"year_creation":2020},"legacy_ids":["bsg-001511","bsg-s001511"],"name":"FAIRsharing record for: BACPAC Minimum Dataset: Required Baseline Demographic and Outcomes Measures","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.kwsfg2","doi":"10.25504/FAIRsharing.kwsfg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document contains domains and instruments for the longitudinal assessments in the BACPAC Minimum Dataset. Where applicable, core data elements of the BACPAC Minimum Dataset are taken from previously validated instruments (e.g., PROMIS measures). The BACPAC Minimum Dataset is an expanded version of the HEAL Initiative Core Data Elements. In addition to the longitudinal assessments, the BACPAC Minimum Dataset includes a collection of demographic and baseline characteristic core data elements, which are administered to study participants at baseline only.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Demographics","Pain Medicine"],"domains":["Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7644,"fairsharing_record_id":1534,"organisation_id":650,"relation":"maintains","created_at":"2021-09-30T09:28:44.885Z","updated_at":"2021-09-30T09:28:44.885Z","grant_id":null,"is_lead":false,"saved_state":{"id":650,"name":"Data Integration, Algorithm Development and Operations Management Center (DAC) for BACPAC, UNC Chapel Hill, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7645,"fairsharing_record_id":1534,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:44.935Z","updated_at":"2021-09-30T09:29:55.554Z","grant_id":471,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U24AR076730","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1535","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T12:42:38.536Z","metadata":{"doi":"10.25504/FAIRsharing.wsfk5z","name":"Animal Trait Ontology for Livestock","status":"ready","contacts":[{"contact_name":"Pierre-Yves LeBail","contact_email":"pylebail@rennes.inra.fr"}],"homepage":"http://www.atol-ontology.com/en/atol-2/","citations":[],"identifier":1535,"description":"ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment. ATOL aims to: provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; represent traits as generic as possible for livestock vertebrates; make the ATOL ontology as operational as possible and closely related to measurement techniques; and structure the ontology in relation to animal production.","abbreviation":"ATOL","support_links":[{"url":"matthieu.reichstadt@clermont.inra.fr","name":"Matthieu Reichstadt","type":"Support email"},{"url":"https://www.ebi.ac.uk/ols/ontologies/atol","name":"ATOL in the EBI's Ontology Lookup Service (OLS)","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ATOL","name":"ATOL","portal":"BioPortal"}]},"legacy_ids":["bsg-001033","bsg-s001033"],"name":"FAIRsharing record for: Animal Trait Ontology for Livestock","abbreviation":"ATOL","url":"https://fairsharing.org/10.25504/FAIRsharing.wsfk5z","doi":"10.25504/FAIRsharing.wsfk5z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment. ATOL aims to: provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; represent traits as generic as possible for livestock vertebrates; make the ATOL ontology as operational as possible and closely related to measurement techniques; and structure the ontology in relation to animal production.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Husbandry","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Vertebrata"],"user_defined_tags":["Livestock"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":759,"relation":"undefined"}],"grants":[{"id":7646,"fairsharing_record_id":1535,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:44.986Z","updated_at":"2021-09-30T09:28:44.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1528","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:14:20.841Z","metadata":{"doi":"10.25504/FAIRsharing.y47s7f","name":"International Classification for Nursing Practice","status":"ready","contacts":[{"contact_name":"ICNP General Contact","contact_email":"icnp@icn.ch"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-for-nursing-practice","identifier":1528,"description":"The International Classification for Nursing Practice (INCP) was accepted by WHO within the WHO Family of International Classifications (FIC) to extend the coverage of the domain of nursing practice as an essential and complementary part of professional health services. ICNP classifies patient data and clinical activity in the domain of nursing and can be used for decision-making and policy development aimed at improving health status and health care delivery. ICNP can represent diagnoses, interventions, and outcomes. A number of subsets are available to provide precoordinated concepts for select health priorities, including nursing outcome indicators, paediatric pain management, palliative care, and partnering with patients and families to promote adherence to treatment.","abbreviation":"ICNP","support_links":[{"url":"https://www.icn.ch/what-we-doprojectsehealth-icnptm/about-icnp/icnp-catalogues","name":"About ICNP","type":"Help documentation"}],"year_creation":1996,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ICNP","name":"ICNP","portal":"BioPortal"}]},"legacy_ids":["bsg-002639","bsg-s002639"],"name":"FAIRsharing record for: International Classification for Nursing Practice","abbreviation":"ICNP","url":"https://fairsharing.org/10.25504/FAIRsharing.y47s7f","doi":"10.25504/FAIRsharing.y47s7f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification for Nursing Practice (INCP) was accepted by WHO within the WHO Family of International Classifications (FIC) to extend the coverage of the domain of nursing practice as an essential and complementary part of professional health services. ICNP classifies patient data and clinical activity in the domain of nursing and can be used for decision-making and policy development aimed at improving health status and health care delivery. ICNP can represent diagnoses, interventions, and outcomes. A number of subsets are available to provide precoordinated concepts for select health priorities, including nursing outcome indicators, paediatric pain management, palliative care, and partnering with patients and families to promote adherence to treatment.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17299},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12522}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Clinical Studies","Primary Health Care","Biomedical Science"],"domains":["Electronic health record","Patient care","Hospital","Nurse"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1749,"pubmed_id":15460220,"title":"The International Classification For Nursing Practice.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/15460220","authors":"Mortensen RA,Nielsen GH","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-60750-909-7-45","created_at":"2021-09-30T08:25:36.288Z","updated_at":"2021-09-30T08:25:36.288Z"}],"licence_links":[{"licence_name":"ICNP Download","licence_id":413,"licence_url":"https://www.icn.ch/what-we-do/projects/ehealth-icnptm/icnp-download","link_id":1291,"relation":"undefined"}],"grants":[{"id":7631,"fairsharing_record_id":1528,"organisation_id":1484,"relation":"maintains","created_at":"2021-09-30T09:28:44.335Z","updated_at":"2021-09-30T09:28:44.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1484,"name":"International Council of Nurses","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1529","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T16:48:51.000Z","updated_at":"2022-07-20T09:15:41.959Z","metadata":{"doi":"10.25504/FAIRsharing.27a0f4","name":"Premis Data Dictionary for the Preservation Metadata","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"PIG@listserv.loc.gov"}],"homepage":"http://www.loc.gov/standards/premis/","citations":[],"identifier":1529,"description":"PREMIS is a metadata standard used worldwide for the preservation of digital objects which prolongs their use. The standard is maintained by the PREMIS Editorial Committee which includes data dictionary an XML schema and supporting documentation.","abbreviation":"PREMIS","support_links":[{"url":"http://www.loc.gov/standards/premis/contact-premis.php","name":"Contact","type":"Contact form"},{"url":"PIG@listserv.loc.gov","name":"Subscribe to the forum","type":"Support email"},{"url":"http://www.loc.gov/standards/premis/bibliography.html","name":"online documents","type":"Help documentation"},{"url":"http://www.loc.gov/standards/premis/tutorials.html","name":"tutorials","type":"Training documentation"}],"associated_tools":[{"url":"https://www.archivematica.org/","name":"Archivematic"},{"url":"http://www.archiviststoolkit.org/","name":"Archivist's Toolkit"},{"url":"http://www.nationalarchives.gov.uk/aboutapps/pronom/","name":"DROID"},{"url":"http://sourceforge.net/projects/echodep/","name":"Echodep"},{"url":"http://ingestlist.sf.net/","name":"IngestList"},{"url":"http://meta-extractor.sourceforge.net/","name":"New Zealand Metadata extractor"},{"url":"http://www.exlibrisgroup.com/category/RosettaOverview","name":"Rosetta"}]},"legacy_ids":["bsg-001310","bsg-s001310"],"name":"FAIRsharing record for: Premis Data Dictionary for the Preservation Metadata","abbreviation":"PREMIS","url":"https://fairsharing.org/10.25504/FAIRsharing.27a0f4","doi":"10.25504/FAIRsharing.27a0f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PREMIS is a metadata standard used worldwide for the preservation of digital objects which prolongs their use. The standard is maintained by the PREMIS Editorial Committee which includes data dictionary an XML schema and supporting documentation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7632,"fairsharing_record_id":1529,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:44.376Z","updated_at":"2021-09-30T09:28:44.376Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1530","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2022-07-20T11:21:12.140Z","metadata":{"doi":"10.25504/FAIRsharing.p5df9c","name":"Faceted Application of Subject Terminology","status":"ready","contacts":[{"contact_name":"Support: UK Centre","contact_email":"support-uk@oclc.org"}],"homepage":"https://www.oclc.org/research/themes/data-science/fast.html","citations":[],"identifier":1530,"description":"FAST (Faceted Application of Subject Terminology) is a nine-facet vocabulary derived from the Library of Congress Subject Headings (LCSH), and is one of the library domain's most widely used subject terminology schemas. The broad purpose of adapting the LCSH with a simplified syntax to create FAST is to retain the rich vocabulary of LCSH while making the schema easier to understand, control, apply, and use. The schema maintains upward compatibility with LCSH, and any valid set of LC subject headings can be converted to FAST headings.","abbreviation":"FAST","support_links":[{"url":"https://www.oclc.org/research/forms/fast-contact.html","name":"Contact Form","type":"Contact form"},{"url":"oclc@oclc.org","name":"General Contact","type":"Support email"},{"url":"https://www.oclc.org/content/dam/oclc/fast/FAST-FAQ-Nov2019.pdf","name":"FAQ (PDF)","type":"Frequently Asked Questions (FAQs)"},{"url":"http://fast.oclc.org/searchfast/searchFastHowto.pdf","name":"Search Help (PDF)","type":"Help documentation"},{"url":"http://fast.oclc.org/fastChanges/","name":"Change Document","type":"Help documentation"},{"url":"https://www.oclc.org/en/fast.html","name":"About FAST","type":"Help documentation"},{"url":"https://help.oclc.org/Metadata_Services/Connexion/Troubleshooting/What_is_FAST","name":"What is FAST?","type":"Help documentation"}],"year_creation":1998},"legacy_ids":["bsg-000995","bsg-s000995"],"name":"FAIRsharing record for: Faceted Application of Subject Terminology","abbreviation":"FAST","url":"https://fairsharing.org/10.25504/FAIRsharing.p5df9c","doi":"10.25504/FAIRsharing.p5df9c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FAST (Faceted Application of Subject Terminology) is a nine-facet vocabulary derived from the Library of Congress Subject Headings (LCSH), and is one of the library domain's most widely used subject terminology schemas. The broad purpose of adapting the LCSH with a simplified syntax to create FAST is to retain the rich vocabulary of LCSH while making the schema easier to understand, control, apply, and use. The schema maintains upward compatibility with LCSH, and any valid set of LC subject headings can be converted to FAST headings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":409,"relation":"undefined"}],"grants":[{"id":7634,"fairsharing_record_id":1530,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:44.452Z","updated_at":"2021-09-30T09:28:44.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9030,"fairsharing_record_id":1530,"organisation_id":2222,"relation":"maintains","created_at":"2022-03-28T08:22:32.794Z","updated_at":"2022-03-28T08:22:32.794Z","grant_id":null,"is_lead":false,"saved_state":{"id":2222,"name":"OCLC","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1531","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:36:08.484Z","metadata":{"doi":"10.25504/FAIRsharing.e45arr","name":"OntoBiotope","status":"ready","contacts":[{"contact_name":"Claire Nédellec","contact_email":"claire.nedellec@jouy.inra.fr","contact_orcid":"0000-0002-0577-0595"}],"homepage":"http://dx.doi.org/10.15454/1.4382640528105164E12","identifier":1531,"description":"OntoBiotope is an ontology of microorganism habitats. Its modeling principle and its lexicon reflect the biotope classification used by biologists to describe microorganism isolation sites (e.g. GenBank, GOLD, ATCC). OntoBiotope is developed and maintained by the Meta-omics of Microbial Ecosystems (MEM) network in which 30 microbiologists from INRA (French National Institute for Agricultural Research) from all fields of applied microbiology participate. The relevance of OntoBiotope terms is evaluated through the PubMedBiotope semantic search engine. It identifies and categorizes microbial biotopes in all PubMed abstracts by applying the ToMap method (Text to Ontology Mapping) to the OntoBiotope ontology. It also indexes 3,35 millions relations between taxa and their habitats.","abbreviation":"OntoBiotope","support_links":[{"url":"http://bibliome.jouy.inra.fr/MEM-OntoBiotope/about.html","name":"About OntoBiotope","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001117","bsg-s001117"],"name":"FAIRsharing record for: OntoBiotope","abbreviation":"OntoBiotope","url":"https://fairsharing.org/10.25504/FAIRsharing.e45arr","doi":"10.25504/FAIRsharing.e45arr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OntoBiotope is an ontology of microorganism habitats. Its modeling principle and its lexicon reflect the biotope classification used by biologists to describe microorganism isolation sites (e.g. GenBank, GOLD, ATCC). OntoBiotope is developed and maintained by the Meta-omics of Microbial Ecosystems (MEM) network in which 30 microbiologists from INRA (French National Institute for Agricultural Research) from all fields of applied microbiology participate. The relevance of OntoBiotope terms is evaluated through the PubMedBiotope semantic search engine. It identifies and categorizes microbial biotopes in all PubMed abstracts by applying the ToMap method (Text to Ontology Mapping) to the OntoBiotope ontology. It also indexes 3,35 millions relations between taxa and their habitats.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12531}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Life Science"],"domains":["Text mining","Ecosystem"],"taxonomies":["Bacteria"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1302,"relation":"undefined"}],"grants":[{"id":7635,"fairsharing_record_id":1531,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:44.493Z","updated_at":"2021-09-30T09:28:44.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7637,"fairsharing_record_id":1531,"organisation_id":1826,"relation":"maintains","created_at":"2021-09-30T09:28:44.599Z","updated_at":"2021-09-30T09:28:44.599Z","grant_id":null,"is_lead":false,"saved_state":{"id":1826,"name":"Micalis Institute, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1536","type":"fairsharing_records","attributes":{"created_at":"2020-10-21T17:30:03.000Z","updated_at":"2022-07-20T12:26:02.166Z","metadata":{"doi":"10.25504/FAIRsharing.RdHnQX","name":"BioSimulators conventions for the inputs, outputs, and capabilities of biosimulation software tools","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"https://docs.biosimulations.org/concepts/conventions","citations":[],"identifier":1536,"description":"The BioSimulators conventions encompass several conventions for biosimulation tools (see below). In combination with modeling languages such as Cell-ML and SBML, SED-ML, KISAO, and COMBINE/OMEX, the BioSimulators standards enable investigators to use compliant biosimulation tools to execute simulations with the same syntax and generate consistent results. (a) A format for describing the specifications of a biosimulation tool including its name and version; a description of the tool; the modeling frameworks (e.g., logical, constraint-based, kinetic), simulation algorithms (e.g., CVODE, FBA, SSA), and modeling formats (e.g., BNGL, SBML) that the tool supports; the parameters of each algorithm, their data types, and their default values; links to the tool and documentation about the tool; and additional metadata such as citations for the tool. (b) Specifications for the syntax and semantics of the inputs (command-line arguments) and outputs (reports and charts of simulation results) of command-line interfaces for biosimulation tools. (c) Specifications for (i) the entry points of Docker images of biosimulation tools and (ii) using Docker labels to annotate basic metadata about images such as the name and version of the simulation tool inside the image. (d) A format for describing reports of simulation results, including the numerical predictions, as well as metadata about the semantic meaning of each axis and each individual row and column.","abbreviation":"BioSimulators conventions","support_links":[{"url":"https://github.com/biosimulators/Biosimulators/issues/new/choose","name":"Issue tracker","type":"Github"},{"url":"info@biosimulators.org","name":"Email","type":"Support email"},{"url":"https://biosimulators.org/help/faq","name":"FAW","type":"Frequently Asked Questions (FAQs)"},{"url":"https://biosimulators.org/help","name":"Tutorial and help","type":"Help documentation"},{"url":"https://biosimulators.org/conventions/simulator-interfaces","name":"Simulator Interfaces Documentation","type":"Help documentation"},{"url":"https://biosimulators.org/conventions/simulator-specs","name":"Simulator Specification Documentation","type":"Help documentation"},{"url":"https://github.com/biosimulators/Biosimulators_simulator_template","name":"Template containerized simulator","type":"Github"},{"url":"https://biosimulators.org/conventions/simulation-reports","name":"Simulation Reports Documentation","type":"Help documentation"},{"url":"https://biosimulators.org/conventions/simulator-images","name":"Simulator Docker Images Documentation","type":"Help documentation"}],"year_creation":2020},"legacy_ids":["bsg-001536","bsg-s001536"],"name":"FAIRsharing record for: BioSimulators conventions for the inputs, outputs, and capabilities of biosimulation software tools","abbreviation":"BioSimulators conventions","url":"https://fairsharing.org/10.25504/FAIRsharing.RdHnQX","doi":"10.25504/FAIRsharing.RdHnQX","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioSimulators conventions encompass several conventions for biosimulation tools (see below). In combination with modeling languages such as Cell-ML and SBML, SED-ML, KISAO, and COMBINE/OMEX, the BioSimulators standards enable investigators to use compliant biosimulation tools to execute simulations with the same syntax and generate consistent results. (a) A format for describing the specifications of a biosimulation tool including its name and version; a description of the tool; the modeling frameworks (e.g., logical, constraint-based, kinetic), simulation algorithms (e.g., CVODE, FBA, SSA), and modeling formats (e.g., BNGL, SBML) that the tool supports; the parameters of each algorithm, their data types, and their default values; links to the tool and documentation about the tool; and additional metadata such as citations for the tool. (b) Specifications for the syntax and semantics of the inputs (command-line arguments) and outputs (reports and charts of simulation results) of command-line interfaces for biosimulation tools. (c) Specifications for (i) the entry points of Docker images of biosimulation tools and (ii) using Docker labels to annotate basic metadata about images such as the name and version of the simulation tool inside the image. (d) A format for describing reports of simulation results, including the numerical predictions, as well as metadata about the semantic meaning of each axis and each individual row and column.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Biology","Systems Biology"],"domains":["Mathematical model","Kinetic model","Biological network analysis","Software"],"taxonomies":["Not applicable"],"user_defined_tags":["Genome Scale Metabolic Model","Multi-scale model"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":319,"relation":"undefined"}],"grants":[{"id":7648,"fairsharing_record_id":1536,"organisation_id":437,"relation":"maintains","created_at":"2021-09-30T09:28:45.068Z","updated_at":"2021-09-30T09:28:45.068Z","grant_id":null,"is_lead":true,"saved_state":{"id":437,"name":"Center for Reproducible Biomedical Modeling","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7647,"fairsharing_record_id":1536,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:28:45.028Z","updated_at":"2021-09-30T09:32:45.220Z","grant_id":1762,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41EB023912","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1537","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:18.340Z","metadata":{"doi":"10.25504/FAIRsharing.pwvtn5","name":"NeuroML","status":"ready","contacts":[{"contact_name":"Padraig Gleeson","contact_email":"neuroml-technology@lists.sourceforge.net","contact_orcid":"0000-0001-5963-8576"}],"homepage":"http://www.neuroml.org","identifier":1537,"description":"NeuroML is a model description language developed in XML (extensible Markup Language) that was created to facilitate data archiving, data and model exchange, database creation, and model publication in the neurosciences. One of the goals of the NeuroML project is to develop standards for model specification that will allow for greater simulator interoperability and model exchange.","abbreviation":"NeuroML","support_links":[{"url":"http://www.neuroml.org/introduction.php","type":"Help documentation"},{"url":"http://sourceforge.net/p/neuroml/mailman/neuroml-technology/","type":"Help documentation"}],"year_creation":2001,"associated_tools":[{"url":"https://github.com/NeuroML/jNeuroML","name":"jNeuroML"}]},"legacy_ids":["bsg-000123","bsg-s000123"],"name":"FAIRsharing record for: NeuroML","abbreviation":"NeuroML","url":"https://fairsharing.org/10.25504/FAIRsharing.pwvtn5","doi":"10.25504/FAIRsharing.pwvtn5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeuroML is a model description language developed in XML (extensible Markup Language) that was created to facilitate data archiving, data and model exchange, database creation, and model publication in the neurosciences. One of the goals of the NeuroML project is to develop standards for model specification that will allow for greater simulator interoperability and model exchange.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10846},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11147},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11876},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11949},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12202},{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12385},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16944}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Cellular Neuroscience","Neurobiology","Computational Neuroscience","Life Science","Neuroscience"],"domains":["Mathematical model","Network model","Modeling and simulation","Assay","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Brazil","France","India","United Kingdom","United States"],"publications":[{"id":1802,"pubmed_id":11545699,"title":"Towards NeuroML: model description methods for collaborative modelling in neuroscience.","year":2001,"url":"http://doi.org/10.1098/rstb.2001.0910","authors":"Goddard NH,Hucka M,Howell F,Cornelis H,Shankar K,Beeman D","journal":"Philos Trans R Soc Lond B Biol Sci","doi":"10.1098/rstb.2001.0910","created_at":"2021-09-30T08:25:42.321Z","updated_at":"2021-09-30T08:25:42.321Z"},{"id":2754,"pubmed_id":25309419,"title":"LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2.","year":2014,"url":"http://doi.org/10.3389/fninf.2014.00079","authors":"Cannon RC,Gleeson P,Crook S,Ganapathy G,Marin B,Piasini E,Silver RA","journal":"Front Neuroinform","doi":"10.3389/fninf.2014.00079","created_at":"2021-09-30T08:27:38.539Z","updated_at":"2021-09-30T08:27:38.539Z"},{"id":2755,"pubmed_id":20585541,"title":"NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.","year":2010,"url":"http://doi.org/10.1371/journal.pcbi.1000815","authors":"Gleeson P,Crook S,Cannon RC,Hines ML,Billings GO,Farinella M,Morse TM,Davison AP,Ray S,Bhalla US,Barnes SR,Dimitrova YD,Silver RA","journal":"PLoS Comput Biol","doi":"10.1371/journal.pcbi.1000815","created_at":"2021-09-30T08:27:38.656Z","updated_at":"2021-09-30T08:27:38.656Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":2096,"relation":"undefined"}],"grants":[{"id":7649,"fairsharing_record_id":1537,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:45.107Z","updated_at":"2021-09-30T09:30:52.241Z","grant_id":911,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"086699","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7651,"fairsharing_record_id":1537,"organisation_id":2142,"relation":"maintains","created_at":"2021-09-30T09:28:45.177Z","updated_at":"2021-09-30T09:28:45.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":2142,"name":"NeuroML community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7650,"fairsharing_record_id":1537,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:28:45.140Z","updated_at":"2021-09-30T09:31:26.227Z","grant_id":1168,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"G0400598","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7652,"fairsharing_record_id":1537,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:45.219Z","updated_at":"2021-09-30T09:31:26.809Z","grant_id":1172,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"005490","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1538","type":"fairsharing_records","attributes":{"created_at":"2018-04-25T10:54:21.000Z","updated_at":"2024-03-17T19:43:53.029Z","metadata":{"doi":"10.25504/FAIRsharing.0b7e54","name":"Handle","status":"ready","contacts":[{"contact_name":"Handle Administrators","contact_email":"hdladmin@cnri.reston.va.us"}],"homepage":"http://handle.net","citations":[],"identifier":1538,"description":"The Handle System is the Corporation for National Research Initiatives's proprietary registry assigning persistent identifiers, or handles, to information resources, and for resolving \"those handles into the information necessary to locate, access, and otherwise make use of the resources\". As with handles used elsewhere in computing, Handle System handles are opaque, and encode no information about the underlying resource, being bound only to metadata regarding the resource. Consequently, the handles are not rendered invalid by changes to the metadata.","abbreviation":"hdl","support_links":[{"url":"http://www.handle.net/hnr_support.html","name":"Handle Support","type":"Help documentation"},{"url":"http://www.handle.net/hnr_documentation.html","name":"Handle Documentation","type":"Help documentation"},{"url":"http://www.handle.net/prefix.html","name":"Prefix Registration Documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Handle_System","name":"Wikipedia Entry: Handle System","type":"Wikipedia"}],"year_creation":1994,"associated_tools":[{"url":"http://www.handle.net/download_hnr.html","name":"Handle.Net Software"}],"cross_references":[{"url":"https://bioregistry.io/registry/hdl","name":"Bioregistry","portal":"Other"}],"regular_expression":"^\\d+/.+$"},"legacy_ids":["bsg-001187","bsg-s001187"],"name":"FAIRsharing record for: Handle","abbreviation":"hdl","url":"https://fairsharing.org/10.25504/FAIRsharing.0b7e54","doi":"10.25504/FAIRsharing.0b7e54","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Handle System is the Corporation for National Research Initiatives's proprietary registry assigning persistent identifiers, or handles, to information resources, and for resolving \"those handles into the information necessary to locate, access, and otherwise make use of the resources\". As with handles used elsewhere in computing, Handle System handles are opaque, and encode no information about the underlying resource, being bound only to metadata regarding the resource. Consequently, the handles are not rendered invalid by changes to the metadata.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17383}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Handle System Public License Agreement Version 2","licence_id":376,"licence_url":"http://www.handle.net/HSj/hdlnet-2-LICENSE.pdf","link_id":2001,"relation":"undefined"},{"licence_name":"Handle System Service Agreement Version 3","licence_id":377,"licence_url":"http://www.handle.net/HSj/hdlnet-2-SVC-AGREE-3.pdf","link_id":2002,"relation":"undefined"}],"grants":[{"id":7653,"fairsharing_record_id":1538,"organisation_id":615,"relation":"maintains","created_at":"2021-09-30T09:28:45.257Z","updated_at":"2021-09-30T09:28:45.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":615,"name":"Corporation for National Research Initiatives (CNRI), USA","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":9559,"fairsharing_record_id":1538,"organisation_id":566,"relation":"collaborates_on","created_at":"2022-05-25T00:57:50.334Z","updated_at":"2022-05-25T00:57:50.334Z","grant_id":null,"is_lead":false,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure, European Research Infrastructure Consortium, Utrecht University","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":9560,"fairsharing_record_id":1538,"organisation_id":588,"relation":"collaborates_on","created_at":"2022-05-25T00:57:50.373Z","updated_at":"2022-05-25T00:57:50.373Z","grant_id":null,"is_lead":false,"saved_state":{"id":588,"name":"Computer Network Information Center, Chinese Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9561,"fairsharing_record_id":1538,"organisation_id":3535,"relation":"collaborates_on","created_at":"2022-05-25T00:57:50.475Z","updated_at":"2022-05-25T00:57:50.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":3535,"name":"CSC – IT CENTER FOR SCIENCE LTD.","types":["Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1539","type":"fairsharing_records","attributes":{"created_at":"2021-07-07T09:30:30.000Z","updated_at":"2024-04-18T13:56:48.797Z","metadata":{"doi":"10.25504/FAIRsharing.e0b3b3","name":"FAIR chemical structure template","status":"ready","contacts":[{"contact_name":"Emma Schymanski","contact_email":"emma.schymanski@uni.lu"}],"homepage":"https://doi.org/10.1186/s13321-021-00520-4","citations":[{"doi":"10.1186/s13321-021-00520-4","pubmed_id":null,"publication_id":2793}],"identifier":1539,"description":"Open specification that describes how chemical structures in journal articles can be shared in a FAIR way.","abbreviation":null,"support_links":[{"url":"bolton@ncbi.nlm.nih.gov","name":"Evan Bolton","type":"Support email"}],"year_creation":2021},"legacy_ids":["bsg-001622","bsg-s001622"],"name":"FAIRsharing record for: FAIR chemical structure template","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.e0b3b3","doi":"10.25504/FAIRsharing.e0b3b3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open specification that describes how chemical structures in journal articles can be shared in a FAIR way.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Luxembourg","United States"],"publications":[{"id":2793,"pubmed_id":null,"title":"FAIR chemical structures in the Journal of Cheminformatics","year":2021,"url":"http://doi.org/10.1186/s13321-021-00520-4","authors":"Emma Schymanski, Evan Bolton","journal":"Journal of Cheminformatics","doi":"10.1186/s13321-021-00520-4","created_at":"2021-09-30T08:27:43.434Z","updated_at":"2021-09-30T08:27:43.434Z"},{"id":4254,"pubmed_id":null,"title":"FAIRifying the exposome journal: Templates for chemical structures and transformations","year":2021,"url":"http://dx.doi.org/10.1093/exposome/osab006","authors":"Schymanski, Emma L; Bolton, Evan E; ","journal":"Exposome","doi":"10.1093/exposome/osab006","created_at":"2024-04-17T04:15:29.280Z","updated_at":"2024-04-17T04:15:29.280Z"},{"id":4255,"pubmed_id":null,"title":"ShinyTPs: Curating Transformation Products from Text Mining Results","year":2023,"url":"http://dx.doi.org/10.1021/acs.estlett.3c00537","authors":"Palm, Emma H.; Chirsir, Parviel; Krier, Jessy; Thiessen, Paul A.; Zhang, Jian; Bolton, Evan E.; Schymanski, Emma L.; ","journal":"Environ. Sci. Technol. Lett.","doi":"10.1021/acs.estlett.3c00537","created_at":"2024-04-18T07:07:35.292Z","updated_at":"2024-04-18T07:07:35.292Z"},{"id":4256,"pubmed_id":null,"title":"Adding open spectral data to MassBank and PubChem using open source tools to support non-targeted exposomics of mixtures","year":2023,"url":"http://dx.doi.org/10.1039/D3EM00181D","authors":"Elapavalore, Anjana; Kondić, Todor; Singh, Randolph R.; Shoemaker, Benjamin A.; Thiessen, Paul A.; Zhang, Jian; Bolton, Evan E.; Schymanski, Emma L.; ","journal":"Environ. Sci.: Processes Impacts","doi":"10.1039/d3em00181d","created_at":"2024-04-18T07:15:24.499Z","updated_at":"2024-04-18T07:15:24.499Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2379,"relation":"undefined"}],"grants":[{"id":7654,"fairsharing_record_id":1539,"organisation_id":1543,"relation":"funds","created_at":"2021-09-30T09:28:45.290Z","updated_at":"2021-09-30T09:28:45.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":1543,"name":"Intramural Research Program (IRP) of the National Institutes of Health, Bethesda, MD","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7656,"fairsharing_record_id":1539,"organisation_id":1735,"relation":"funds","created_at":"2021-09-30T09:28:45.365Z","updated_at":"2021-09-30T09:30:08.771Z","grant_id":571,"is_lead":false,"saved_state":{"id":1735,"name":"Luxembourg National Research Fund (FNR), Luxembourg","grant":"A18/BM/12341006","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7655,"fairsharing_record_id":1539,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:28:45.327Z","updated_at":"2021-09-30T09:28:45.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7657,"fairsharing_record_id":1539,"organisation_id":1734,"relation":"maintains","created_at":"2021-09-30T09:28:45.397Z","updated_at":"2021-09-30T09:28:45.397Z","grant_id":null,"is_lead":false,"saved_state":{"id":1734,"name":"Luxembourg Centre for Systems Biomedicine (LCSB), Luxembourg, Luxembourg","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1540","type":"fairsharing_records","attributes":{"created_at":"2019-04-26T09:37:56.000Z","updated_at":"2022-07-20T12:41:54.461Z","metadata":{"doi":"10.25504/FAIRsharing.3CCrPF","name":"PyNN","status":"ready","contacts":[],"homepage":"https://neuralensemble.org/PyNN/","citations":[{"doi":"10.3389/neuro.11.011.2008","pubmed_id":19194529,"publication_id":2344}],"identifier":1540,"description":"The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowing access to the details of individual neurons and synapses when required. PyNN provides a library of standard neuron, synapse and synaptic plasticity models, which have been verified to work the same on the different supported simulators. PyNN also provides a set of commonly-used connectivity algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes it easy to provide your own connectivity in a simulator-independent way, either using the Connection Set Algebra or by writing your own Python code. PyNN has been developed as a procedural description in Python which can be used to instantiate a network across multiple simulators.","abbreviation":"PyNN","support_links":[{"url":"https://groups.google.com/forum/#!forum/neuralensemble","name":"NeuralEnsemble Forum","type":"Forum"},{"url":"https://github.com/NeuralEnsemble/PyNN/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://neuralensemble.org/docs/PyNN/","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/NeuralEnsemble/PyNN/","name":"GitHub Repository","type":"Github"}],"year_creation":2008,"associated_tools":[{"url":"https://pypi.org/project/PyNN/","name":"PyNN 0.9.4"}]},"legacy_ids":["bsg-001366","bsg-s001366"],"name":"FAIRsharing record for: PyNN","abbreviation":"PyNN","url":"https://fairsharing.org/10.25504/FAIRsharing.3CCrPF","doi":"10.25504/FAIRsharing.3CCrPF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowing access to the details of individual neurons and synapses when required. PyNN provides a library of standard neuron, synapse and synaptic plasticity models, which have been verified to work the same on the different supported simulators. PyNN also provides a set of commonly-used connectivity algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes it easy to provide your own connectivity in a simulator-independent way, either using the Connection Set Algebra or by writing your own Python code. PyNN has been developed as a procedural description in Python which can be used to instantiate a network across multiple simulators.","linked_records":[],"linking_records":[{"linking_record_name":"INCF Endorsed standards","linking_record_id":3539,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12388}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurobiology","Developmental Neurobiology","Computational Neuroscience"],"domains":["Biological network analysis","Network model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","France","Germany","Switzerland"],"publications":[{"id":2344,"pubmed_id":19194529,"title":"PyNN: A Common Interface for Neuronal Network Simulators.","year":2009,"url":"http://doi.org/10.3389/neuro.11.011.2008","authors":"Davison AP,Bruderle D,Eppler J,Kremkow J,Muller E,Pecevski D,Perrinet L,Yger P","journal":"Front Neuroinform","doi":"10.3389/neuro.11.011.2008","created_at":"2021-09-30T08:26:48.018Z","updated_at":"2021-09-30T08:26:48.018Z"}],"licence_links":[{"licence_name":"CeCILL-B","licence_id":111,"licence_url":"https://cecill.info/licences/Licence_CeCILL-B_V1-en.html","link_id":2419,"relation":"undefined"}],"grants":[{"id":7658,"fairsharing_record_id":1540,"organisation_id":2137,"relation":"maintains","created_at":"2021-09-30T09:28:45.421Z","updated_at":"2021-09-30T09:28:45.421Z","grant_id":null,"is_lead":true,"saved_state":{"id":2137,"name":"NeuralEnsemble","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1545","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:04.000Z","updated_at":"2022-07-20T12:48:42.672Z","metadata":{"doi":"10.25504/FAIRsharing.49bmk","name":"AnaEE Thesaurus","status":"ready","contacts":[{"contact_name":"Christian Pichot","contact_email":"christian.pichot@inrae.fr","contact_orcid":"0000-0003-1636-9438"}],"homepage":"https://lovinra.inra.fr/2017/03/13/thesaurus-anaee/","identifier":1545,"description":"The anaeeThes thesaurus aims at providing a controlled vocabulary for the semantic description of the study of continental ecosystems and their biodiversity. The thesaurus consists of concepts handled in different main thematic areas: abiotic (e.g. atmosphere, climate, hydrosphere, litosphere); biotic (e.g. animals, plants, micro-organisms, biodiversity); chemical compounds; experimentation and observation (e.g. instrument, method, protocol, measurement, quality, infrastructure); ecosystems (e.g. type, structure, functioning); modeling (e.g. formalism, platform, type of model, computer language); disciplines (disciplinary and scientific fields); and unit (units of the international system, inherited from the OBOE-standards ontology).","abbreviation":"anaeeThes","support_links":[{"url":"christian.pichot@inrae.fr","name":"Christian Pichot","type":"Support email"},{"url":"andre.chanzy@inra.fr","name":"Andre Chanzy","type":"Support email"},{"url":"philippe.clastre@inrae.fr","name":"Philippe Clastre","type":"Support email"}],"year_creation":2017},"legacy_ids":["bsg-001096","bsg-s001096"],"name":"FAIRsharing record for: AnaEE Thesaurus","abbreviation":"anaeeThes","url":"https://fairsharing.org/10.25504/FAIRsharing.49bmk","doi":"10.25504/FAIRsharing.49bmk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The anaeeThes thesaurus aims at providing a controlled vocabulary for the semantic description of the study of continental ecosystems and their biodiversity. The thesaurus consists of concepts handled in different main thematic areas: abiotic (e.g. atmosphere, climate, hydrosphere, litosphere); biotic (e.g. animals, plants, micro-organisms, biodiversity); chemical compounds; experimentation and observation (e.g. instrument, method, protocol, measurement, quality, infrastructure); ecosystems (e.g. type, structure, functioning); modeling (e.g. formalism, platform, type of model, computer language); disciplines (disciplinary and scientific fields); and unit (units of the international system, inherited from the OBOE-standards ontology).","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11738}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Agricultural Engineering","Ecology","Biodiversity","Atmospheric Science","Ecosystem Science"],"domains":["Experimental measurement","Ecosystem","Modeling and simulation","Protocol","Device","Unit"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":846,"relation":"undefined"}],"grants":[{"id":7666,"fairsharing_record_id":1545,"organisation_id":2367,"relation":"maintains","created_at":"2021-09-30T09:28:45.707Z","updated_at":"2021-09-30T09:28:45.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":2367,"name":"Programme d'Investissements d'Avenir, National Research Agency (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7667,"fairsharing_record_id":1545,"organisation_id":92,"relation":"maintains","created_at":"2021-09-30T09:28:45.740Z","updated_at":"2021-09-30T09:28:45.740Z","grant_id":null,"is_lead":true,"saved_state":{"id":92,"name":"Analysis and Experimentation on Ecosystems (AnaEE), France","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7665,"fairsharing_record_id":1545,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:28:45.670Z","updated_at":"2021-09-30T09:30:26.357Z","grant_id":711,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"11-INBS-0001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1546","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:56:33.766Z","metadata":{"doi":"10.25504/FAIRsharing.5970hq","name":"OBOE: The Extensible Observation Ontology","status":"ready","contacts":[{"contact_name":"Bryce Mecum","contact_email":"mecum@nceas.ucsb.edu","contact_orcid":"0000-0002-0381-3766"}],"homepage":"https://github.com/NCEAS/oboe/","citations":[{"publication_id":1886}],"identifier":1546,"description":"OBOE is a suite of OWL-DL ontologies for modeling and representing scientific observations. The OBOE model is designed as a generic data model with a number of constructs for defining observational data. Key features of OBOE include its ability to represent a wide range of measurement types, a mechanism for specifying measurement context, and the ability to associate the type of entity (e.g., sample, organism, etc.) being measured. OBOE is being used and developed within the Semtools project for describing a wide variety of ecological data stored within the Knowledge Network for Biodiversity (KNB) as well as extensions for ontology-based data annotation and discovery within the MetaCat software infrastructure.","abbreviation":"OBOE","support_links":[{"url":"semtools@ecoinformatics.org","name":"Contact Email","type":"Support email"},{"url":"https://github.com/NCEAS/oboe/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBOE","name":"OBOE","portal":"BioPortal"}]},"legacy_ids":["bsg-002680","bsg-s002680"],"name":"FAIRsharing record for: OBOE: The Extensible Observation Ontology","abbreviation":"OBOE","url":"https://fairsharing.org/10.25504/FAIRsharing.5970hq","doi":"10.25504/FAIRsharing.5970hq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OBOE is a suite of OWL-DL ontologies for modeling and representing scientific observations. The OBOE model is designed as a generic data model with a number of constructs for defining observational data. Key features of OBOE include its ability to represent a wide range of measurement types, a mechanism for specifying measurement context, and the ability to associate the type of entity (e.g., sample, organism, etc.) being measured. OBOE is being used and developed within the Semtools project for describing a wide variety of ecological data stored within the Knowledge Network for Biodiversity (KNB) as well as extensions for ontology-based data annotation and discovery within the MetaCat software infrastructure.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Ecology","Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Observations"],"countries":["United States"],"publications":[{"id":1886,"pubmed_id":null,"title":"An ontology for describing and synthesizing ecological observation data.","year":2007,"url":"https://doi.org/10.1016/j.ecoinf.2007.05.004","authors":"Madin, J., S. Bowers, M. Schildhauer, S. Krivov, D. Pennington, and F. Villa.","journal":"Ecological Informatics","doi":null,"created_at":"2021-09-30T08:25:52.157Z","updated_at":"2021-09-30T08:25:52.157Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":470,"relation":"undefined"}],"grants":[{"id":7668,"fairsharing_record_id":1546,"organisation_id":2210,"relation":"maintains","created_at":"2021-09-30T09:28:45.778Z","updated_at":"2021-09-30T09:28:45.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":2210,"name":"OBOE Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8102,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:58.313Z","updated_at":"2021-09-30T09:30:58.367Z","grant_id":959,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0225676","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7669,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:45.816Z","updated_at":"2021-09-30T09:29:10.078Z","grant_id":122,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0743429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7882,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:24.048Z","updated_at":"2021-09-30T09:29:24.105Z","grant_id":232,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0753144","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8310,"fairsharing_record_id":1546,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:01.387Z","updated_at":"2021-09-30T09:32:01.441Z","grant_id":1432,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1430508","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1579","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:23.689Z","metadata":{"doi":"10.25504/FAIRsharing.v0hbjs","name":"Encyclopedia of DNA Elements","status":"ready","contacts":[{"contact_name":"Idan Gabdank","contact_email":"gabdank@stanford.edu","contact_orcid":"0000-0001-5025-5886"},{"contact_name":"Meenakshi Kagda","contact_email":"mkagda@stanford.edu","contact_orcid":null}],"homepage":"https://www.encodeproject.org/","citations":[],"identifier":1579,"description":"The ENCODE (Encyclopedia of DNA Elements) Consortium is an international collaboration of research groups funded by the National Human Genome Research Institute (NHGRI). The goal of ENCODE is to build a comprehensive parts list of functional elements in the human genome including elements that act at the protein and RNA levels, and regulatory elements that control cells and circumstances in which a gene is active. ENCODE investigators employ a variety of assays and methods to identify functional elements. The discovery and annotation of gene elements is accomplished primarily by sequencing a diverse range of RNA sources, comparative genomics, integrative bioinformatic methods, and human curation. Regulatory elements are typically investigated through DNA hypersensitivity assays, assays of DNA methylation, and immunoprecipitation (IP) of proteins that interact with DNA and RNA, i.e., modified histones, transcription factors, chromatin regulators, and RNA-binding proteins, followed by sequencing.","abbreviation":"ENCODE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://genome.ucsc.edu/ENCODE/FAQ/index.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://mailman.stanford.edu/mailman/listinfo/encode-announce","type":"Mailing list"},{"url":"http://www.openhelix.com/ENCODE2/","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/ENCODE","type":"Wikipedia"},{"url":"http://genome.ucsc.edu/ENCODE/newsarch.html","name":"News Archive","type":"Blog/News"},{"url":"encode-help@lists.stanford.edu","type":"Support email"},{"url":"https://www.encodeproject.org/help/faq/","name":"ENCODE Portal FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://scicrunch.org/resolver/RRID:SCR_015482","name":"SciCrunch:RRID:SCR_015482","portal":"SciCrunch"},{"url":"https://www.re3data.org/repository/r3d100013051","name":" re3data:r3d100013051","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.encodeproject.org/help/submission/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000034","bsg-d000034"],"name":"FAIRsharing record for: Encyclopedia of DNA Elements","abbreviation":"ENCODE","url":"https://fairsharing.org/10.25504/FAIRsharing.v0hbjs","doi":"10.25504/FAIRsharing.v0hbjs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ENCODE (Encyclopedia of DNA Elements) Consortium is an international collaboration of research groups funded by the National Human Genome Research Institute (NHGRI). The goal of ENCODE is to build a comprehensive parts list of functional elements in the human genome including elements that act at the protein and RNA levels, and regulatory elements that control cells and circumstances in which a gene is active. ENCODE investigators employ a variety of assays and methods to identify functional elements. The discovery and annotation of gene elements is accomplished primarily by sequencing a diverse range of RNA sources, comparative genomics, integrative bioinformatic methods, and human curation. Regulatory elements are typically investigated through DNA hypersensitivity assays, assays of DNA methylation, and immunoprecipitation (IP) of proteins that interact with DNA and RNA, i.e., modified histones, transcription factors, chromatin regulators, and RNA-binding proteins, followed by sequencing.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12577}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Epigenetics"],"domains":["Nucleic acid sequence","DNA sequence data","Genome annotation","Histone","Cap Analysis Gene Expression","Chromatin binding","DNA methylation","Biological regulation","Transcription factor","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Chromatin Interaction Analysis by Paired-End Tag sequencing","Transcript analysis by paired-end tag sequencing","Regulatory region"],"taxonomies":["Caenorhabditis","Drosophila","Homo sapiens","Mus musculus"],"user_defined_tags":["RNA-binding protein target sites"],"countries":["United States"],"publications":[{"id":1048,"pubmed_id":25776021,"title":"Ontology application and use at the ENCODE DCC.","year":2015,"url":"http://doi.org/10.1093/database/bav010","authors":"Malladi VS,Erickson DT,Podduturi NR,Rowe LD,Chan ET,Davidson JM,Hitz BC,Ho M,Lee BT,Miyasato S,Roe GR,Simison M,Sloan CA,Strattan JS,Tanaka F,Kent WJ,Cherry JM,Hong EL","journal":"Database (Oxford)","doi":"10.1093/database/bav010","created_at":"2021-09-30T08:24:16.049Z","updated_at":"2021-09-30T08:24:16.049Z"},{"id":1301,"pubmed_id":23193274,"title":"ENCODE data in the UCSC Genome Browser: year 5 update","year":2012,"url":"http://doi.org/10.1093/nar/gks1172","authors":"Rosenbloom KR, Sloan CA, Malladi VS, Dreszer TR, Learned K, Kirkup VM, Wong MC, Maddren M, Fang R, Heitner SG, Lee BT, Barber GP, Harte RA, Diekhans M, Long JC, Wilder SP, Zweig AS, Karolchik D, Kuhn RM, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1172","created_at":"2021-09-30T08:24:45.301Z","updated_at":"2021-09-30T08:24:45.301Z"},{"id":1539,"pubmed_id":21037257,"title":"ENCODE whole-genome data in the UCSC genome browser (2011 update)","year":2010,"url":"http://doi.org/10.1093/nar/gkq1017","authors":"Raney BJ, Cline MS, Rosenbloom KR, Dreszer TR, Learned K, Barber GP, Meyer LR, Sloan CA, Malladi VS, Roskin KM, Suh BB, Hinrichs AS, Clawson H, Zweig AS, Kirkup V, Fujita PA, Rhead B, Smith KE, Pohl A, Kuhn RM, Karolchik D, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1017","created_at":"2021-09-30T08:25:12.386Z","updated_at":"2021-09-30T08:25:12.386Z"},{"id":2112,"pubmed_id":26527727,"title":"ENCODE data at the ENCODE portal.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1160","authors":"Sloan CA,Chan ET,Davidson JM,Malladi VS,Strattan JS,Hitz BC,Gabdank I,Narayanan AK,Ho M,Lee BT,Rowe LD,Dreszer TR,Roe G,Podduturi NR,Tanaka F,Hong EL,Cherry JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1160","created_at":"2021-09-30T08:26:18.147Z","updated_at":"2021-09-30T11:29:29.444Z"},{"id":2113,"pubmed_id":26980513,"title":"Principles of metadata organization at the ENCODE data coordination center.","year":2016,"url":"http://doi.org/10.1093/database/baw001","authors":"Hong EL,Sloan CA,Chan ET,Davidson JM,Malladi VS,Strattan JS,Hitz BC,Gabdank I,Narayanan AK,Ho M,Lee BT,Rowe LD,Dreszer TR,Roe GR,Podduturi NR,Tanaka F,Hilton JA,Cherry JM","journal":"Database (Oxford)","doi":"10.1093/database/baw001","created_at":"2021-09-30T08:26:18.249Z","updated_at":"2021-09-30T08:26:18.249Z"},{"id":3084,"pubmed_id":22075998,"title":"ENCODE whole-genome data in the UCSC Genome Browser: update 2012.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1012","authors":"Rosenbloom KR, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1012","created_at":"2021-09-30T08:28:20.008Z","updated_at":"2021-09-30T08:28:20.008Z"},{"id":3085,"pubmed_id":19920125,"title":"ENCODE whole-genome data in the UCSC Genome Browser","year":2009,"url":"http://doi.org/10.1093/nar/gkp961","authors":"Rosenbloom KR, Dreszer TR, Pheasant M, Barber GP, Meyer LR, Pohl A, Raney BJ, Wang T, Hinrichs AS, Zweig AS, Fujita PA, Learned K, Rhead B, Smith KE, Kuhn RM, Karolchik D, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp961","created_at":"2021-09-30T08:28:20.134Z","updated_at":"2021-09-30T08:28:20.134Z"},{"id":3094,"pubmed_id":17166863,"title":"The ENCODE project at UC Santa Cruz","year":2006,"url":"http://doi.org/10.1093/nar/gkl1017","authors":"Thomas DJ, Rosenbloom KR, Clawson H, Hinrichs, AS, Trumbower H, Raney BJ, Karolchik D, Barber GP, Harte RA, Hillman-Jackson J, Kuhn RM, Rhead BL, Smith KE, Thakkapallayil A, Zweig AS, The ENCODE Project Consortium, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl1017","created_at":"2021-09-30T08:28:21.226Z","updated_at":"2021-09-30T08:28:21.226Z"},{"id":3277,"pubmed_id":29126249,"title":"The Encyclopedia of DNA elements (ENCODE): data portal update.","year":2018,"url":"https://doi.org/10.1093/nar/gkx1081","authors":"Davis CA, Hitz BC, Sloan CA, Chan ET, Davidson JM, Gabdank I, Hilton JA, Jain K, Baymuradov UK, Narayanan AK, Onate KC, Graham K, Miyasato SR, Dreszer TR, Strattan JS, Jolanki O, Tanaka FY, Cherry JM","journal":"Nucleic acids research","doi":"10.1093/nar/gkx1081","created_at":"2022-03-25T15:30:05.734Z","updated_at":"2022-03-25T15:30:05.734Z"},{"id":3441,"pubmed_id":15499007,"title":"The ENCODE (ENCyclopedia Of DNA Elements) Project.","year":2004,"url":"https://pubmed.ncbi.nlm.nih.gov/15499007","authors":"ENCODE Project Consortium.","journal":"Science (New York, N.Y.)","doi":null,"created_at":"2022-06-17T16:57:23.021Z","updated_at":"2022-06-17T16:57:23.021Z"},{"id":3442,"pubmed_id":null,"title":"SnoVault and encodeD: A novel object-based storage system and applications to ENCODE metadata","year":2017,"url":"http://dx.doi.org/10.1371/journal.pone.0175310","authors":"Hitz, Benjamin C.; Rowe, Laurence D.; Podduturi, Nikhil R.; Glick, David I.; Baymuradov, Ulugbek K.; Malladi, Venkat S.; Chan, Esther T.; Davidson, Jean M.; Gabdank, Idan; Narayana, Aditi K.; Onate, Kathrina C.; Hilton, Jason; Ho, Marcus C.; Lee, Brian T.; Miyasato, Stuart R.; Dreszer, Timothy R.; Sloan, Cricket A.; Strattan, J. Seth; Tanaka, Forrest Y.; Hong, Eurie L.; Cherry, J. Michael; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0175310","created_at":"2022-06-17T17:03:37.608Z","updated_at":"2022-06-17T17:03:37.608Z"},{"id":3443,"pubmed_id":31751002,"title":"The ENCODE Portal as an Epigenomics Resource.","year":2019,"url":"https://doi.org/10.1002/cpbi.89","authors":"Jou J, Gabdank I, Luo Y, Lin K, Sud P, Myers Z, Hilton JA, Kagda MS, Lam B, O'Neill E, Adenekan P, Graham K, Baymuradov UK, R Miyasato S, Strattan JS, Jolanki O, Lee JW, Litton C, Y Tanaka F, Hitz BC, Cherry JM","journal":"Current protocols in bioinformatics","doi":"10.1002/cpbi.89","created_at":"2022-06-17T17:04:30.776Z","updated_at":"2022-06-17T17:04:30.776Z"},{"id":3444,"pubmed_id":null,"title":"Expanded encyclopaedias of DNA elements in the human and mouse genomes","year":2020,"url":"http://dx.doi.org/10.1038/s41586-020-2493-4","authors":"undefined, undefined; Abascal, Federico; Acosta, Reyes; Addleman, Nicholas J.; Adrian, Jessika; Afzal, Veena; Ai, Rizi; Aken, Bronwen; Akiyama, Jennifer A.; Jammal, Omar Al; Amrhein, Henry; Anderson, Stacie M.; Andrews, Gregory R.; Antoshechkin, Igor; Ardlie, Kristin G.; Armstrong, Joel; Astley, Matthew; Banerjee, Budhaditya; Barkal, Amira A.; Barnes, If H. A.; Barozzi, Iros; Barrell, Daniel; Barson, Gemma; Bates, Daniel; Baymuradov, Ulugbek K.; Bazile, Cassandra; Beer, Michael A.; Beik, Samantha; Bender, M. A.; Bennett, Ruth; Bouvrette, Louis Philip Benoit; Bernstein, Bradley E.; Berry, Andrew; Bhaskar, Anand; Bignell, Alexandra; Blue, Steven M.; Bodine, David M.; Boix, Carles; Boley, Nathan; Borrman, Tyler; Borsari, Beatrice; Boyle, Alan P.; Brandsmeier, Laurel A.; Breschi, Alessandra; Bresnick, Emery H.; Brooks, Jason A.; Buckley, Michael; Burge, Christopher B.; Byron, Rachel; Cahill, Eileen; Cai, Lingling; Cao, Lulu; Carty, Mark; Castanon, Rosa G.; Castillo, Andres; Chaib, Hassan; Chan, Esther T.; Chee, Daniel R.; Chee, Sora; Chen, Hao; Chen, Huaming; Chen, Jia-Yu; Chen, Songjie; Cherry, J. Michael; Chhetri, Surya B.; Choudhary, Jyoti S.; Chrast, Jacqueline; Chung, Dongjun; Clarke, Declan; Cody, Neal A. L.; Coppola, Candice J.; Coursen, Julie; D’Ippolito, Anthony M.; Dalton, Stephen; Danyko, Cassidy; Davidson, Claire; Davila-Velderrain, Jose; Davis, Carrie A.; Dekker, Job; Deran, Alden; DeSalvo, Gilberto; Despacio-Reyes, Gloria; Dewey, Colin N.; Dickel, Diane E.; Diegel, Morgan; Diekhans, Mark; Dileep, Vishnu; Ding, Bo; Djebali, Sarah; Dobin, Alexander; Dominguez, Daniel; Donaldson, Sarah; Drenkow, Jorg; Dreszer, Timothy R.; Drier, Yotam; Duff, Michael O.; Dunn, Douglass; Eastman, Catharine; Ecker, Joseph R.; Edwards, Matthew D.; El-Ali, Nicole; Elhajjajy, Shaimae I.; Elkins, Keri; Emili, Andrew; Epstein, Charles B.; Evans, Rachel C.; Ezkurdia, Iakes; Fan, Kaili; Farnham, Peggy J.; Farrell, Nina P.; Feingold, Elise A.; Ferreira, Anne-Maud; Fisher-Aylor, Katherine; Fitzgerald, Stephen; Flicek, Paul; Foo, Chuan Sheng; Fortier, Kevin; Frankish, Adam; Freese, Peter; Fu, Shaliu; Fu, Xiang-Dong; Fu, Yu; Fukuda-Yuzawa, Yoko; Fulciniti, Mariateresa; Funnell, Alister P. W.; Gabdank, Idan; Galeev, Timur; Gao, Mingshi; Giron, Carlos Garcia; Garvin, Tyler H.; Gelboin-Burkhart, Chelsea Anne; Georgolopoulos, Grigorios; Gerstein, Mark B.; Giardine, Belinda M.; Gifford, David K.; Gilbert, David M.; Gilchrist, Daniel A.; Gillespie, Shawn; Gingeras, Thomas R.; Gong, Peng; Gonzalez, Alvaro; Gonzalez, Jose M.; Good, Peter; Goren, Alon; Gorkin, David U.; Graveley, Brenton R.; Gray, Michael; Greenblatt, Jack F.; Griffiths, Ed; Groudine, Mark T.; Grubert, Fabian; Gu, Mengting; Guigó, Roderic; Guo, Hongbo; Guo, Yu; Guo, Yuchun; Gursoy, Gamze; Gutierrez-Arcelus, Maria; Halow, Jessica; Hardison, Ross C.; Hardy, Matthew; Hariharan, Manoj; Harmanci, Arif; Harrington, Anne; Harrow, Jennifer L.; Hashimoto, Tatsunori B.; Hasz, Richard D.; Hatan, Meital; Haugen, Eric; Hayes, James E.; He, Peng; He, Yupeng; Heidari, Nastaran; Hendrickson, David; Heuston, Elisabeth F.; Hilton, Jason A.; Hitz, Benjamin C.; Hochman, Abigail; Holgren, Cory; Hou, Lei; Hou, Shuyu; Hsiao, Yun-Hua E.; Hsu, Shanna; Huang, Hui; Hubbard, Tim J.; Huey, Jack; Hughes, Timothy R.; Hunt, Toby; Ibarrientos, Sean; Issner, Robbyn; Iwata, Mineo; Izuogu, Osagie; Jaakkola, Tommi; Jameel, Nader; Jansen, Camden; Jiang, Lixia; Jiang, Peng; Johnson, Audra; Johnson, Rory; Jungreis, Irwin; Kadaba, Madhura; Kasowski, Maya; Kasparian, Mary; Kato, Momoe; Kaul, Rajinder; Kawli, Trupti; Kay, Michael; Keen, Judith C.; Keles, Sunduz; Keller, Cheryl A.; Kelley, David; Kellis, Manolis; Kheradpour, Pouya; Kim, Daniel Sunwook; Kirilusha, Anthony; Klein, Robert J.; Knoechel, Birgit; Kuan, Samantha; Kulik, Michael J.; Kumar, Sushant; Kundaje, Anshul; Kutyavin, Tanya; Lagarde, Julien; Lajoie, Bryan R.; Lambert, Nicole J.; Lazar, John; Lee, Ah Young; Lee, Donghoon; Lee, Elizabeth; Lee, Jin Wook; Lee, Kristen; Leslie, Christina S.; Levy, Shawn; Li, Bin; Li, Hairi; Li, Nan; Li, Shantao; Li, Xiangrui; Li, Yang I.; Li, Ying; Li, Yining; Li, Yue; Lian, Jin; Libbrecht, Maxwell W.; Lin, Shin; Lin, Yiing; Liu, Dianbo; Liu, Jason; Liu, Peng; Liu, Tingting; Liu, X. Shirley; Liu, Yan; Liu, Yaping; Long, Maria; Lou, Shaoke; Loveland, Jane; Lu, Aiping; Lu, Yuheng; Lécuyer, Eric; Ma, Lijia; Mackiewicz, Mark; Mannion, Brandon J.; Mannstadt, Michael; Manthravadi, Deepa; Marinov, Georgi K.; Martin, Fergal J.; Mattei, Eugenio; McCue, Kenneth; McEown, Megan; McVicker, Graham; Meadows, Sarah K.; Meissner, Alex; Mendenhall, Eric M.; Messer, Christopher L.; Meuleman, Wouter; Meyer, Clifford; Miller, Steve; Milton, Matthew G.; Mishra, Tejaswini; Moore, Dianna E.; Moore, Helen M.; Moore, Jill E.; Moore, Samuel H.; Moran, Jennifer; Mortazavi, Ali; Mudge, Jonathan M.; Munshi, Nikhil; Murad, Rabi; Myers, Richard M.; Nandakumar, Vivek; Nandi, Preetha; Narasimha, Anil M.; Narayanan, Aditi K.; Naughton, Hannah; Navarro, Fabio C. P.; Navas, Patrick; Nazarovs, Jurijs; Nelson, Jemma; Neph, Shane; Neri, Fidencio Jun; Nery, Joseph R.; Nesmith, Amy R.; Newberry, J. Scott; Newberry, Kimberly M.; Ngo, Vu; Nguyen, Rosy; Nguyen, Thai B.; Nguyen, Tung; Nishida, Andrew; Noble, William S.; Novak, Catherine S.; Novoa, Eva Maria; Nuñez, Briana; O’Donnell, Charles W.; Olson, Sara; Onate, Kathrina C.; Otterman, Ericka; Ozadam, Hakan; Pagan, Michael; Palden, Tsultrim; Pan, Xinghua; Park, Yongjin; Partridge, E. Christopher; Paten, Benedict; Pauli-Behn, Florencia; Pazin, Michael J.; Pei, Baikang; Pennacchio, Len A.; Perez, Alexander R.; Perry, Emily H.; Pervouchine, Dmitri D.; Phalke, Nishigandha N.; Pham, Quan; Phanstiel, Doug H.; Plajzer-Frick, Ingrid; Pratt, Gabriel A.; Pratt, Henry E.; Preissl, Sebastian; Pritchard, Jonathan K.; Pritykin, Yuri; Purcaro, Michael J.; Qin, Qian; Quinones-Valdez, Giovanni; Rabano, Ines; Radovani, Ernest; Raj, Anil; Rajagopal, Nisha; Ram, Oren; Ramirez, Lucia; Ramirez, Ricardo N.; Rausch, Dylan; Raychaudhuri, Soumya; Raymond, Joseph; Razavi, Rozita; Reddy, Timothy E.; Reimonn, Thomas M.; Ren, Bing; Reymond, Alexandre; Reynolds, Alex; Rhie, Suhn K.; Rinn, John; Rivera, Miguel; Rivera-Mulia, Juan Carlos; Roberts, Brian S.; Rodriguez, Jose Manuel; Rozowsky, Joel; Ryan, Russell; Rynes, Eric; Salins, Denis N.; Sandstrom, Richard; Sasaki, Takayo; Sathe, Shashank; Savic, Daniel; Scavelli, Alexandra; Scheiman, Jonathan; Schlaffner, Christoph; Schloss, Jeffery A.; Schmitges, Frank W.; See, Lei Hoon; Sethi, Anurag; Setty, Manu; Shafer, Anthony; Shan, Shuo; Sharon, Eilon; Shen, Quan; Shen, Yin; Sherwood, Richard I.; Shi, Minyi; Shin, Sunyoung; Shoresh, Noam; Siebenthall, Kyle; Sisu, Cristina; Slifer, Teri; Sloan, Cricket A.; Smith, Anna; Snetkova, Valentina; Snyder, Michael P.; Spacek, Damek V.; Srinivasan, Sharanya; Srivas, Rohith; Stamatoyannopoulos, George; Stamatoyannopoulos, John A.; Stanton, Rebecca; Steffan, Dave; Stehling-Sun, Sandra; Strattan, J. Seth; Su, Amanda; Sundararaman, Balaji; Suner, Marie-Marthe; Syed, Tahin; Szynkarek, Matt; Tanaka, Forrest Y.; Tenen, Danielle; Teng, Mingxiang; Thomas, Jeffrey A.; Toffey, Dave; Tress, Michael L.; Trout, Diane E.; Trynka, Gosia; Tsuji, Junko; Upchurch, Sean A.; Ursu, Oana; Uszczynska-Ratajczak, Barbara; Uziel, Mia C.; Valencia, Alfonso; Biber, Benjamin Van; van der Velde, Arjan G.; Van Nostrand, Eric L.; Vaydylevich, Yekaterina; Vazquez, Jesus; Victorsen, Alec; Vielmetter, Jost; Vierstra, Jeff; Visel, Axel; Vlasova, Anna; Vockley, Christopher M.; Volpi, Simona; Vong, Shinny; Wang, Hao; Wang, Mengchi; Wang, Qin; Wang, Ruth; Wang, Tao; Wang, Wei; Wang, Xiaofeng; Wang, Yanli; Watson, Nathaniel K.; Wei, Xintao; Wei, Zhijie; Weisser, Hendrik; Weissman, Sherman M.; Welch, Rene; Welikson, Robert E.; Weng, Zhiping; Westra, Harm-Jan; Whitaker, John W.; White, Collin; White, Kevin P.; Wildberg, Andre; Williams, Brian A.; Wine, David; Witt, Heather N.; Wold, Barbara; Wolf, Maxim; Wright, James; Xiao, Rui; Xiao, Xinshu; Xu, Jie; Xu, Jinrui; Yan, Koon-Kiu; Yan, Yongqi; Yang, Hongbo; Yang, Xinqiong; Yang, Yi-Wen; Yardımcı, Galip Gürkan; Yee, Brian A.; Yeo, Gene W.; Young, Taylor; Yu, Tianxiong; Yue, Feng; Zaleski, Chris; Zang, Chongzhi; Zeng, Haoyang; Zeng, Weihua; Zerbino, Daniel R.; Zhai, Jie; Zhan, Lijun; Zhan, Ye; Zhang, Bo; Zhang, Jialing; Zhang, Jing; Zhang, Kai; Zhang, Lijun; Zhang, Peng; Zhang, Qi; Zhang, Xiao-Ou; Zhang, Yanxiao; Zhang, Zhizhuo; Zhao, Yuan; Zheng, Ye; Zhong, Guoqing; Zhou, Xiao-Qiao; Zhu, Yun; Zimmerman, Jared; Moore, Jill E.; Purcaro, Michael J.; Pratt, Henry E.; Epstein, Charles B.; Shoresh, Noam; Adrian, Jessika; Kawli, Trupti; Davis, Carrie A.; Dobin, Alexander; Kaul, Rajinder; Halow, Jessica; Van Nostrand, Eric L.; Freese, Peter; Gorkin, David U.; Shen, Yin; He, Yupeng; Mackiewicz, Mark; Pauli-Behn, Florencia; Williams, Brian A.; Mortazavi, Ali; Keller, Cheryl A.; Zhang, Xiao-Ou; Elhajjajy, Shaimae I.; Huey, Jack; Dickel, Diane E.; Snetkova, Valentina; Wei, Xintao; Wang, Xiaofeng; Rivera-Mulia, Juan Carlos; Rozowsky, Joel; Zhang, Jing; Chhetri, Surya B.; Zhang, Jialing; Victorsen, Alec; White, Kevin P.; Visel, Axel; Yeo, Gene W.; Burge, Christopher B.; Lécuyer, Eric; Gilbert, David M.; Dekker, Job; Rinn, John; Mendenhall, Eric M.; Ecker, Joseph R.; Kellis, Manolis; Klein, Robert J.; Noble, William S.; Kundaje, Anshul; Guigó, Roderic; Farnham, Peggy J.; Cherry, J. Michael; Myers, Richard M.; Ren, Bing; Graveley, Brenton R.; Gerstein, Mark B.; Pennacchio, Len A.; Snyder, Michael P.; Bernstein, Bradley E.; Wold, Barbara; Hardison, Ross C.; Gingeras, Thomas R.; Stamatoyannopoulos, John A.; Weng, Zhiping; ","journal":"Nature","doi":"10.1038/s41586-020-2493-4","created_at":"2022-06-17T17:05:21.340Z","updated_at":"2022-06-17T17:05:21.340Z"},{"id":3445,"pubmed_id":null,"title":"Perspectives on ENCODE","year":2020,"url":"http://dx.doi.org/10.1038/s41586-020-2449-8","authors":"undefined, undefined; Abascal, Federico; Acosta, Reyes; Addleman, Nicholas J.; Adrian, Jessika; Afzal, Veena; Aken, Bronwen; Ai, Rizi; Akiyama, Jennifer A.; Jammal, Omar Al; Amrhein, Henry; Anderson, Stacie M.; Andrews, Gregory R.; Antoshechkin, Igor; Ardlie, Kristin G.; Armstrong, Joel; Astley, Matthew; Banerjee, Budhaditya; Barkal, Amira A.; Barnes, If H. A.; Barozzi, Iros; Barrell, Daniel; Barson, Gemma; Bates, Daniel; Baymuradov, Ulugbek K.; Bazile, Cassandra; Beer, Michael A.; Beik, Samantha; Bender, M. A.; Bennett, Ruth; Bouvrette, Louis Philip Benoit; Bernstein, Bradley E.; Berry, Andrew; Bhaskar, Anand; Bignell, Alexandra; Blue, Steven M.; Bodine, David M.; Boix, Carles; Boley, Nathan; Borrman, Tyler; Borsari, Beatrice; Boyle, Alan P.; Brandsmeier, Laurel A.; Breschi, Alessandra; Bresnick, Emery H.; Brooks, Jason A.; Buckley, Michael; Burge, Christopher B.; Byron, Rachel; Cahill, Eileen; Cai, Lingling; Cao, Lulu; Carty, Mark; Castanon, Rosa G.; Castillo, Andres; Chaib, Hassan; Chan, Esther T.; Chee, Daniel R.; Chee, Sora; Chen, Hao; Chen, Huaming; Chen, Jia-Yu; Chen, Songjie; Cherry, J. Michael; Chhetri, Surya B.; Choudhary, Jyoti S.; Chrast, Jacqueline; Chung, Dongjun; Clarke, Declan; Cody, Neal A. L.; Coppola, Candice J.; Coursen, Julie; D’Ippolito, Anthony M.; Dalton, Stephen; Danyko, Cassidy; Davidson, Claire; Davila-Velderrain, Jose; Davis, Carrie A.; Dekker, Job; Deran, Alden; DeSalvo, Gilberto; Despacio-Reyes, Gloria; Dewey, Colin N.; Dickel, Diane E.; Diegel, Morgan; Diekhans, Mark; Dileep, Vishnu; Ding, Bo; Djebali, Sarah; Dobin, Alexander; Dominguez, Daniel; Donaldson, Sarah; Drenkow, Jorg; Dreszer, Timothy R.; Drier, Yotam; Duff, Michael O.; Dunn, Douglass; Eastman, Catharine; Ecker, Joseph R.; Edwards, Matthew D.; El-Ali, Nicole; Elhajjajy, Shaimae I.; Elkins, Keri; Emili, Andrew; Epstein, Charles B.; Evans, Rachel C.; Ezkurdia, Iakes; Fan, Kaili; Farnham, Peggy J.; Farrell, Nina; Feingold, Elise A.; Ferreira, Anne-Maud; Fisher-Aylor, Katherine; Fitzgerald, Stephen; Flicek, Paul; Foo, Chuan Sheng; Fortier, Kevin; Frankish, Adam; Freese, Peter; Fu, Shaliu; Fu, Xiang-Dong; Fu, Yu; Fukuda-Yuzawa, Yoko; Fulciniti, Mariateresa; Funnell, Alister P. W.; Gabdank, Idan; Galeev, Timur; Gao, Mingshi; Giron, Carlos Garcia; Garvin, Tyler H.; Gelboin-Burkhart, Chelsea Anne; Georgolopoulos, Grigorios; Gerstein, Mark B.; Giardine, Belinda M.; Gifford, David K.; Gilbert, David M.; Gilchrist, Daniel A.; Gillespie, Shawn; Gingeras, Thomas R.; Gong, Peng; Gonzalez, Alvaro; Gonzalez, Jose M.; Good, Peter; Goren, Alon; Gorkin, David U.; Graveley, Brenton R.; Gray, Michael; Greenblatt, Jack F.; Griffiths, Ed; Groudine, Mark T.; Grubert, Fabian; Gu, Mengting; Guigó, Roderic; Guo, Hongbo; Guo, Yu; Guo, Yuchun; Gursoy, Gamze; Gutierrez-Arcelus, Maria; Halow, Jessica; Hardison, Ross C.; Hardy, Matthew; Hariharan, Manoj; Harmanci, Arif; Harrington, Anne; Harrow, Jennifer L.; Hashimoto, Tatsunori B.; Hasz, Richard D.; Hatan, Meital; Haugen, Eric; Hayes, James E.; He, Peng; He, Yupeng; Heidari, Nastaran; Hendrickson, David; Heuston, Elisabeth F.; Hilton, Jason A.; Hitz, Benjamin C.; Hochman, Abigail; Holgren, Cory; Hou, Lei; Hou, Shuyu; Hsiao, Yun-Hua E.; Hsu, Shanna; Huang, Hui; Hubbard, Tim J.; Huey, Jack; Hughes, Timothy R.; Hunt, Toby; Ibarrientos, Sean; Issner, Robbyn; Iwata, Mineo; Izuogu, Osagie; Jaakkola, Tommi; Jameel, Nader; Jansen, Camden; Jiang, Lixia; Jiang, Peng; Johnson, Audra; Johnson, Rory; Jungreis, Irwin; Kadaba, Madhura; Kasowski, Maya; Kasparian, Mary; Kato, Momoe; Kaul, Rajinder; Kawli, Trupti; Kay, Michael; Keen, Judith C.; Keles, Sunduz; Keller, Cheryl A.; Kelley, David; Kellis, Manolis; Kheradpour, Pouya; Kim, Daniel Sunwook; Kirilusha, Anthony; Klein, Robert J.; Knoechel, Birgit; Kuan, Samantha; Kulik, Michael J.; Kumar, Sushant; Kundaje, Anshul; Kutyavin, Tanya; Lagarde, Julien; Lajoie, Bryan R.; Lambert, Nicole J.; Lazar, John; Lee, Ah Young; Lee, Donghoon; Lee, Elizabeth; Lee, Jin Wook; Lee, Kristen; Leslie, Christina S.; Levy, Shawn; Li, Bin; Li, Hairi; Li, Nan; Li, Shantao; Li, Xiangrui; Li, Yang I.; Li, Ying; Li, Yining; Li, Yue; Lian, Jin; Libbrecht, Maxwell W.; Lin, Shin; Lin, Yiing; Liu, Dianbo; Liu, Jason; Liu, Peng; Liu, Tingting; Liu, X. Shirley; Liu, Yan; Liu, Yaping; Long, Maria; Lou, Shaoke; Loveland, Jane; Lu, Aiping; Lu, Yuheng; Lécuyer, Eric; Ma, Lijia; Mackiewicz, Mark; Mannion, Brandon J.; Mannstadt, Michael; Manthravadi, Deepa; Marinov, Georgi K.; Martin, Fergal J.; Mattei, Eugenio; McCue, Kenneth; McEown, Megan; McVicker, Graham; Meadows, Sarah K.; Meissner, Alex; Mendenhall, Eric M.; Messer, Christopher L.; Meuleman, Wouter; Meyer, Clifford; Miller, Steve; Milton, Matthew G.; Mishra, Tejaswini; Moore, Dianna E.; Moore, Helen M.; Moore, Jill E.; Moore, Samuel H.; Moran, Jennifer; Mortazavi, Ali; Mudge, Jonathan M.; Munshi, Nikhil; Murad, Rabi; Myers, Richard M.; Nandakumar, Vivek; Nandi, Preetha; Narasimha, Anil M.; Narayanan, Aditi K.; Naughton, Hannah; Navarro, Fabio C. P.; Navas, Patrick; Nazarovs, Jurijs; Nelson, Jemma; Neph, Shane; Neri, Fidencio Jun; Nery, Joseph R.; Nesmith, Amy R.; Newberry, J. Scott; Newberry, Kimberly M.; Ngo, Vu; Nguyen, Rosy; Nguyen, Thai B.; Nguyen, Tung; Nishida, Andrew; Noble, William S.; Novak, Catherine S.; Novoa, Eva Maria; Nuñez, Briana; O’Donnell, Charles W.; Olson, Sara; Onate, Kathrina C.; Otterman, Ericka; Ozadam, Hakan; Pagan, Michael; Palden, Tsultrim; Pan, Xinghua; Park, Yongjin; Partridge, E. Christopher; Paten, Benedict; Pauli-Behn, Florencia; Pazin, Michael J.; Pei, Baikang; Pennacchio, Len A.; Perez, Alexander R.; Perry, Emily H.; Pervouchine, Dmitri D.; Phalke, Nishigandha N.; Pham, Quan; Phanstiel, Doug H.; Plajzer-Frick, Ingrid; Pratt, Gabriel A.; Pratt, Henry E.; Preissl, Sebastian; Pritchard, Jonathan K.; Pritykin, Yuri; Purcaro, Michael J.; Qin, Qian; Quinones-Valdez, Giovanni; Rabano, Ines; Radovani, Ernest; Raj, Anil; Rajagopal, Nisha; Ram, Oren; Ramirez, Lucia; Ramirez, Ricardo N.; Rausch, Dylan; Raychaudhuri, Soumya; Raymond, Joseph; Razavi, Rozita; Reddy, Timothy E.; Reimonn, Thomas M.; Ren, Bing; Reymond, Alexandre; Reynolds, Alex; Rhie, Suhn K.; Rinn, John; Rivera, Miguel; Rivera-Mulia, Juan Carlos; Roberts, Brian; Rodriguez, Jose Manuel; Rozowsky, Joel; Ryan, Russell; Rynes, Eric; Salins, Denis N.; Sandstrom, Richard; Sasaki, Takayo; Sathe, Shashank; Savic, Daniel; Scavelli, Alexandra; Scheiman, Jonathan; Schlaffner, Christoph; Schloss, Jeffery A.; Schmitges, Frank W.; See, Lei Hoon; Sethi, Anurag; Setty, Manu; Shafer, Anthony; Shan, Shuo; Sharon, Eilon; Shen, Quan; Shen, Yin; Sherwood, Richard I.; Shi, Minyi; Shin, Sunyoung; Shoresh, Noam; Siebenthall, Kyle; Sisu, Cristina; Slifer, Teri; Sloan, Cricket A.; Smith, Anna; Snetkova, Valentina; Snyder, Michael P.; Spacek, Damek V.; Srinivasan, Sharanya; Srivas, Rohith; Stamatoyannopoulos, George; Stamatoyannopoulos, John A.; Stanton, Rebecca; Steffan, Dave; Stehling-Sun, Sandra; Strattan, J. Seth; Su, Amanda; Sundararaman, Balaji; Suner, Marie-Marthe; Syed, Tahin; Szynkarek, Matt; Tanaka, Forrest Y.; Tenen, Danielle; Teng, Mingxiang; Thomas, Jeffrey A.; Toffey, Dave; Tress, Michael L.; Trout, Diane E.; Trynka, Gosia; Tsuji, Junko; Upchurch, Sean A.; Ursu, Oana; Uszczynska-Ratajczak, Barbara; Uziel, Mia C.; Valencia, Alfonso; Biber, Benjamin Van; van der Velde, Arjan G.; Van Nostrand, Eric L.; Vaydylevich, Yekaterina; Vazquez, Jesus; Victorsen, Alec; Vielmetter, Jost; Vierstra, Jeff; Visel, Axel; Vlasova, Anna; Vockley, Christopher M.; Volpi, Simona; Vong, Shinny; Wang, Hao; Wang, Mengchi; Wang, Qin; Wang, Ruth; Wang, Tao; Wang, Wei; Wang, Xiaofeng; Wang, Yanli; Watson, Nathaniel K.; Wei, Xintao; Wei, Zhijie; Weisser, Hendrik; Weissman, Sherman M.; Welch, Rene; Welikson, Robert E.; Weng, Zhiping; Westra, Harm-Jan; Whitaker, John W.; White, Collin; White, Kevin P.; Wildberg, Andre; Williams, Brian A.; Wine, David; Witt, Heather N.; Wold, Barbara; Wolf, Maxim; Wright, James; Xiao, Rui; Xiao, Xinshu; Xu, Jie; Xu, Jinrui; Yan, Koon-Kiu; Yan, Yongqi; Yang, Hongbo; Yang, Xinqiong; Yang, Yi-Wen; Yardımcı, Galip Gürkan; Yee, Brian A.; Yeo, Gene W.; Young, Taylor; Yu, Tianxiong; Yue, Feng; Zaleski, Chris; Zang, Chongzhi; Zeng, Haoyang; Zeng, Weihua; Zerbino, Daniel R.; Zhai, Jie; Zhan, Lijun; Zhan, Ye; Zhang, Bo; Zhang, Jialing; Zhang, Jing; Zhang, Kai; Zhang, Lijun; Zhang, Peng; Zhang, Qi; Zhang, Xiao-Ou; Zhang, Yanxiao; Zhang, Zhizhuo; Zhao, Yuan; Zheng, Ye; Zhong, Guoqing; Zhou, Xiao-Qiao; Zhu, Yun; Zimmerman, Jared; Snyder, Michael P.; Gingeras, Thomas R.; Moore, Jill E.; Weng, Zhiping; Gerstein, Mark B.; Ren, Bing; Hardison, Ross C.; Stamatoyannopoulos, John A.; Graveley, Brenton R.; Feingold, Elise A.; Pazin, Michael J.; Pagan, Michael; Gilchrist, Daniel A.; Hitz, Benjamin C.; Cherry, J. Michael; Bernstein, Bradley E.; Mendenhall, Eric M.; Zerbino, Daniel R.; Frankish, Adam; Flicek, Paul; Myers, Richard M.; ","journal":"Nature","doi":"10.1038/s41586-020-2449-8","created_at":"2022-06-17T17:05:49.635Z","updated_at":"2022-06-17T17:05:49.635Z"},{"id":3446,"pubmed_id":31713622,"title":"New developments on the Encyclopedia of DNA Elements (ENCODE) data portal.","year":2020,"url":"https://doi.org/10.1093/nar/gkz1062","authors":"Luo Y, Hitz BC, Gabdank I, Hilton JA, Kagda MS, Lam B, Myers Z, Sud P, Jou J, Lin K, Baymuradov UK, Graham K, Litton C, Miyasato SR, Strattan JS, Jolanki O, Lee JW, Tanaka FY, Adenekan P, O'Neill E, Cherry JM","journal":"Nucleic acids research","doi":"10.1093/nar/gkz1062","created_at":"2022-06-17T17:06:20.816Z","updated_at":"2022-06-17T17:06:20.816Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2707,"relation":"applies_to_content"},{"licence_name":"ENCODE Data has usage restrictions for 9 months after public availability","licence_id":279,"licence_url":"http://genome.ucsc.edu/ENCODE/","link_id":238,"relation":"undefined"}],"grants":[{"id":120,"fairsharing_record_id":1579,"organisation_id":1118,"relation":"maintains","created_at":"2021-09-30T09:24:19.154Z","updated_at":"2021-09-30T09:24:19.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9599,"fairsharing_record_id":1579,"organisation_id":712,"relation":"maintains","created_at":"2022-06-17T17:07:11.582Z","updated_at":"2022-06-17T17:07:11.582Z","grant_id":null,"is_lead":false,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8317,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:03.326Z","updated_at":"2021-09-30T09:32:03.383Z","grant_id":1448,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"5U41HG004568-04","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7972,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:30:10.135Z","updated_at":"2021-09-30T09:30:10.190Z","grant_id":582,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"3U41HG004568-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":121,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:19.192Z","updated_at":"2021-09-30T09:29:22.118Z","grant_id":216,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"3P41HG002371-10S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8188,"fairsharing_record_id":1579,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:24.172Z","updated_at":"2021-09-30T09:31:24.224Z","grant_id":1153,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"5P41HG002371-10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--42b68419f23be7265b059f3989450ec9a09c177d/encode-logo-small-2x.png?disposition=inline","exhaustive_licences":false}},{"id":"1580","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:22.594Z","metadata":{"doi":"10.25504/FAIRsharing.5q1k","name":"eQuilibrator - the biochemical thermodynamics calculator","status":"ready","contacts":[{"contact_name":"Avi Flamholz","contact_email":"aflamhol@caltech.edu","contact_orcid":"0000-0002-9278-5479"}],"homepage":"http://equilibrator.weizmann.ac.il","citations":[],"identifier":1580,"description":"Thermodynamics calculator for biochemical reactions. eQuilibrator is a simple web interface designed to enable easy thermodynamic analysis of biochemical systems. eQuilibrator enables free-text search for biochemical compounds and reactions and provides thermodynamic estimates for both in a variety of conditions.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://equilibrator.weizmann.ac.il/static/classic_rxns/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/g/equilibrator-users","type":"Forum"},{"url":"https://equilibrator.weizmann.ac.il/static/classic_rxns/updates.html","name":"Updates","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000035","bsg-d000035"],"name":"FAIRsharing record for: eQuilibrator - the biochemical thermodynamics calculator","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.5q1k","doi":"10.25504/FAIRsharing.5q1k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Thermodynamics calculator for biochemical reactions. eQuilibrator is a simple web interface designed to enable easy thermodynamic analysis of biochemical systems. eQuilibrator enables free-text search for biochemical compounds and reactions and provides thermodynamic estimates for both in a variety of conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Thermodynamics","Life Science"],"domains":["Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":55,"pubmed_id":18645197,"title":"Group contribution method for thermodynamic analysis of complex metabolic networks.","year":2008,"url":"http://doi.org/10.1529/biophysj.107.124784","authors":"Jankowski MD., Henry CS., Broadbelt LJ., Hatzimanikatis V.,","journal":"Biophys. J.","doi":"10.1529/biophysj.107.124784","created_at":"2021-09-30T08:22:26.290Z","updated_at":"2021-09-30T08:22:26.290Z"},{"id":56,"pubmed_id":16878778,"title":"Biochemical thermodynamics: applications of Mathematica.","year":2006,"url":"https://www.ncbi.nlm.nih.gov/pubmed/16878778","authors":"Alberty RA.,","journal":"Methods Biochem Anal","doi":null,"created_at":"2021-09-30T08:22:26.395Z","updated_at":"2021-09-30T08:22:26.395Z"},{"id":1866,"pubmed_id":860983,"title":"Energy conservation in chemotrophic anaerobic bacteria.","year":1977,"url":"https://www.ncbi.nlm.nih.gov/pubmed/860983","authors":"Thauer RK., Jungermann K., Decker K.,","journal":"Bacteriol Rev","doi":null,"created_at":"2021-09-30T08:25:49.672Z","updated_at":"2021-09-30T08:25:49.672Z"},{"id":1867,"pubmed_id":22645166,"title":"An integrated open framework for thermodynamics of reactions that combines accuracy and coverage.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts317","authors":"Noor E,Bar-Even A,Flamholz A,Lubling Y,Davidi D,Milo R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts317","created_at":"2021-09-30T08:25:49.947Z","updated_at":"2021-09-30T08:25:49.947Z"}],"licence_links":[],"grants":[{"id":122,"fairsharing_record_id":1580,"organisation_id":1769,"relation":"maintains","created_at":"2021-09-30T09:24:19.233Z","updated_at":"2021-09-30T09:24:19.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":1769,"name":"Massachusetts Institute of Technology (MIT), Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":123,"fairsharing_record_id":1580,"organisation_id":1799,"relation":"maintains","created_at":"2021-09-30T09:24:19.274Z","updated_at":"2021-09-30T09:24:19.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":1799,"name":"Mayo Clinic, Scottsdale, AZ, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1581","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:17.468Z","metadata":{"doi":"10.25504/FAIRsharing.2z0e8b","name":"ExoCarta","status":"ready","contacts":[{"contact_name":"Suresh Mathivanan","contact_email":"s.mathivanan@latrobe.edu.au","contact_orcid":"0000-0002-7290-5795"}],"homepage":"http://www.exocarta.org","citations":[],"identifier":1581,"description":"A database of exosomes, membrane vesicles of endocytic origin released by diverse cell types.","abbreviation":"ExoCarta","data_curation":{"type":"manual"},"support_links":[{"url":"https://en.wikipedia.org/wiki/ExoCarta","type":"Wikipedia"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://exocarta.org/data_submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000036","bsg-d000036"],"name":"FAIRsharing record for: ExoCarta","abbreviation":"ExoCarta","url":"https://fairsharing.org/10.25504/FAIRsharing.2z0e8b","doi":"10.25504/FAIRsharing.2z0e8b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database of exosomes, membrane vesicles of endocytic origin released by diverse cell types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Lipid","Extracellular exosome","Protein","Messenger RNA","Micro RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":54,"pubmed_id":19810033,"title":"ExoCarta: A compendium of exosomal proteins and RNA.","year":2009,"url":"http://doi.org/10.1002/pmic.200900351","authors":"Mathivanan S., Simpson RJ.,","journal":"Proteomics","doi":"10.1002/pmic.200900351","created_at":"2021-09-30T08:22:26.189Z","updated_at":"2021-09-30T08:22:26.189Z"}],"licence_links":[],"grants":[{"id":124,"fairsharing_record_id":1581,"organisation_id":1773,"relation":"maintains","created_at":"2021-09-30T09:24:19.313Z","updated_at":"2021-09-30T09:24:19.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1773,"name":"Mathivanan Lab, La Trobe Institute for Molecular Science 1, Victoria, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1583","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:18.444Z","metadata":{"doi":"10.25504/FAIRsharing.sbnhkq","name":"DRSC/TRiP Functional Genomics Resources \u0026 DRSC-BTRR","status":"ready","contacts":[{"contact_name":"Stephanie E Mohr","contact_email":"stephanie_mohr@hms.harvard.edu"}],"homepage":"https://fgr.hms.harvard.edu/","citations":[],"identifier":1583,"description":"DRSC Functional Genomics Resources (DRSC-FGR) began as the Drosophila RNAi Screening Center (DRSC), founded by Prof. Norbert Perrimon in 2003, and the Transgenic RNAi Project (TRiP), founded by Prof. Perrimon in 2008. DRSC-FGR has been previously known as flyRNAi.org. It has since grown into a functional genomics platform meeting the needs of the Drosophila and broader community.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://hms.az1.qualtrics.com/jfe/form/SV_cApK7Mvnw54HeyV","type":"Contact form"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"http://www.flyrnai.org/compleat/","name":"COMPLEAT"},{"url":"https://www.flyrnai.org/cgi-bin/DRSC_orthologs.pl","name":"DIOPT Ortholog Finder"},{"url":"http://www.flyrnai.org/diopt-dist","name":"DIOPT-DIST"},{"url":"http://fgr.hms.harvard.edu/crispr-efficiency","name":"CRISPR Efficiency Prediction"},{"url":"http://fgr.hms.harvard.edu/flyprimerbank","name":"FlyPrimerBank"},{"url":"http://www.flyrnai.org/hrma","name":"HRMA"},{"url":"http://fgr.hms.harvard.edu/minotar","name":"MinoTar"},{"url":"http://www.flyrnai.org/gess/","name":"GESS"},{"url":"http://fgr.hms.harvard.edu/rsvp-addfeedback","name":"RSVP-AddFeedback"},{"url":"http://fgr.hms.harvard.edu/utility-tools","name":"Utility Tools"},{"url":"https://www.gene2function.org/search/","name":"gene2function"},{"url":"https://www.flyrnai.org/tools/biolitmine/web/","name":"BioLitMine"},{"url":"https://fgrtools.hms.harvard.edu/MIST/","name":"MIST"},{"url":"https://www.flyrnai.org/tools/snp_crispr/web/","name":"SNP CRISPR"},{"url":"https://www.flyrnai.org/up-torr/","name":"UP-TORR"},{"url":"https://www.flyrnai.org/cgi-bin/RNAi_find_primers.pl","name":"SnapDragon"},{"url":"https://fgrtools.hms.harvard.edu/InsulinNetwork/","name":"InsulinNet"},{"url":"https://www.flyrnai.org/tools/pathon/web/","name":"PathON"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000038","bsg-d000038"],"name":"FAIRsharing record for: DRSC/TRiP Functional Genomics Resources \u0026 DRSC-BTRR","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.sbnhkq","doi":"10.25504/FAIRsharing.sbnhkq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DRSC Functional Genomics Resources (DRSC-FGR) began as the Drosophila RNAi Screening Center (DRSC), founded by Prof. Norbert Perrimon in 2003, and the Transgenic RNAi Project (TRiP), founded by Prof. Perrimon in 2008. DRSC-FGR has been previously known as flyRNAi.org. It has since grown into a functional genomics platform meeting the needs of the Drosophila and broader community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Cell line","RNAi screening","RNA interference"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1434,"pubmed_id":21880147,"title":"An integrative approach to ortholog prediction for disease-focused and other functional studies.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-357","authors":"Hu Y., Flockhart I., Vinayagam A., Bergwitz C., Berger B., Perrimon N., Mohr SE.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-357","created_at":"2021-09-30T08:25:00.332Z","updated_at":"2021-09-30T08:25:00.332Z"},{"id":1435,"pubmed_id":21251254,"title":"False negative rates in Drosophila cell-based RNAi screens: a case study.","year":2011,"url":"http://doi.org/10.1186/1471-2164-12-50","authors":"Booker M., Samsonova AA., Kwon Y., Flockhart I., Mohr SE., Perrimon N.,","journal":"BMC Genomics","doi":"10.1186/1471-2164-12-50","created_at":"2021-09-30T08:25:00.432Z","updated_at":"2021-09-30T08:25:00.432Z"},{"id":1436,"pubmed_id":20367032,"title":"Genomic screening with RNAi: results and challenges.","year":2010,"url":"http://doi.org/10.1146/annurev-biochem-060408-092949","authors":"Mohr S., Bakal C., Perrimon N.,","journal":"Annu. Rev. Biochem.","doi":"10.1146/annurev-biochem-060408-092949","created_at":"2021-09-30T08:25:00.532Z","updated_at":"2021-09-30T08:25:00.532Z"},{"id":1437,"pubmed_id":19720858,"title":"Cross-species RNAi rescue platform in Drosophila melanogaster.","year":2009,"url":"http://doi.org/10.1534/genetics.109.106567","authors":"Kondo S., Booker M., Perrimon N.,","journal":"Genetics","doi":"10.1534/genetics.109.106567","created_at":"2021-09-30T08:25:00.634Z","updated_at":"2021-09-30T08:25:00.634Z"},{"id":1438,"pubmed_id":19487563,"title":"A Drosophila resource of transgenic RNAi lines for neurogenetics.","year":2009,"url":"http://doi.org/10.1534/genetics.109.103630","authors":"Ni JQ., Liu LP., Binari R., Hardy R., Shim HS., Cavallaro A., Booker M., Pfeiffer BD., Markstein M., Wang H., Villalta C., Laverty TR., Perkins LA., Perrimon N.,","journal":"Genetics","doi":"10.1534/genetics.109.103630","created_at":"2021-09-30T08:25:00.744Z","updated_at":"2021-09-30T08:25:00.744Z"},{"id":1439,"pubmed_id":18084299,"title":"Vector and parameters for targeted transgenic RNA interference in Drosophila melanogaster.","year":2007,"url":"http://doi.org/10.1038/nmeth1146","authors":"Ni JQ., Markstein M., Binari R., Pfeiffer B., Liu LP., Villalta C., Booker M., Perkins L., Perrimon N.,","journal":"Nat. Methods","doi":"10.1038/nmeth1146","created_at":"2021-09-30T08:25:00.851Z","updated_at":"2021-09-30T08:25:00.851Z"},{"id":1440,"pubmed_id":17853882,"title":"Design and implementation of high-throughput RNAi screens in cultured Drosophila cells.","year":2007,"url":"http://doi.org/10.1038/nprot.2007.250","authors":"Ramadan N., Flockhart I., Booker M., Perrimon N., Mathey-Prevot B.,","journal":"Nat Protoc","doi":"10.1038/nprot.2007.250","created_at":"2021-09-30T08:25:00.962Z","updated_at":"2021-09-30T08:25:00.962Z"},{"id":1441,"pubmed_id":16964256,"title":"Evidence of off-target effects associated with long dsRNAs in Drosophila melanogaster cell-based assays.","year":2006,"url":"http://doi.org/10.1038/nmeth935","authors":"Kulkarni MM., Booker M., Silver SJ., Friedman A., Hong P., Perrimon N., Mathey-Prevot B.,","journal":"Nat. Methods","doi":"10.1038/nmeth935","created_at":"2021-09-30T08:25:01.069Z","updated_at":"2021-09-30T08:25:01.069Z"},{"id":1442,"pubmed_id":16381918,"title":"FlyRNAi: the Drosophila RNAi screening center database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj114","authors":"Flockhart I., Booker M., Kiger A., Boutros M., Armknecht S., Ramadan N., Richardson K., Xu A., Perrimon N., Mathey-Prevot B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj114","created_at":"2021-09-30T08:25:01.185Z","updated_at":"2021-09-30T08:25:01.185Z"}],"licence_links":[],"grants":[{"id":130,"fairsharing_record_id":1583,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:19.534Z","updated_at":"2021-09-30T09:24:19.534Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":128,"fairsharing_record_id":1583,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:24:19.431Z","updated_at":"2021-09-30T09:24:19.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":131,"fairsharing_record_id":1583,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:19.627Z","updated_at":"2021-09-30T09:24:19.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":129,"fairsharing_record_id":1583,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:19.463Z","updated_at":"2021-09-30T09:30:08.512Z","grant_id":569,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01 GM067761","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1584","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:04.081Z","metadata":{"doi":"10.25504/FAIRsharing.qbwrtn","name":"Networks of Functional Coupling of proteins","status":"ready","contacts":[{"contact_name":"Erik Sonnhammer","contact_email":"Erik.Sonnhammer@sbc.su.se"}],"homepage":"http://funcoup.sbc.su.se/","identifier":1584,"description":"FunCoup is a framework to infer genome-wide functional couplings in 11 model organisms. Functional coupling, or functional association, is an unspecific form of association that encompasses direct physical interaction but also more general types of direct or indirect interaction like regulatory interaction or participation the same process or pathway.","abbreviation":"FunCoup","data_curation":{"type":"manual/automated"},"support_links":[{"url":"christoph.ogris@scilifelab.se","type":"Support email"},{"url":"http://funcoup.sbc.su.se/help/#FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://funcoup.sbc.su.se/help/","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://jsquid.sbc.su.se/","name":"Java Applet jSquid"},{"url":"http://funcoup.sbc.su.se/maxlink/","name":"MaxLink"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000039","bsg-d000039"],"name":"FAIRsharing record for: Networks of Functional Coupling of proteins","abbreviation":"FunCoup","url":"https://fairsharing.org/10.25504/FAIRsharing.qbwrtn","doi":"10.25504/FAIRsharing.qbwrtn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FunCoup is a framework to infer genome-wide functional couplings in 11 model organisms. Functional coupling, or functional association, is an unspecific form of association that encompasses direct physical interaction but also more general types of direct or indirect interaction like regulatory interaction or participation the same process or pathway.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Protein interaction","Biological regulation","Molecular interaction","Genetic interaction","Functional association","Protein","Genome"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Canis familiaris","Ciona intestinalis","Danio rerio","Drosophila melanogaster","Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":["Physical interaction"],"countries":["Sweden"],"publications":[{"id":69,"pubmed_id":19246318,"title":"Global networks of functional coupling in eukaryotes from comprehensive data integration.","year":2009,"url":"http://doi.org/10.1101/gr.087528.108","authors":"Alexeyenko A., Sonnhammer EL.,","journal":"Genome Res.","doi":"10.1101/gr.087528.108","created_at":"2021-09-30T08:22:27.662Z","updated_at":"2021-09-30T08:22:27.662Z"},{"id":586,"pubmed_id":22110034,"title":"Comparative interactomics with Funcoup 2.0.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1062","authors":"Alexeyenko A., Schmitt T., Tjärnberg A., Guala D., Frings O., Sonnhammer EL.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1062","created_at":"2021-09-30T08:23:24.210Z","updated_at":"2021-09-30T08:23:24.210Z"},{"id":1883,"pubmed_id":24185702,"title":"FunCoup 3.0: database of genome-wide functional coupling networks","year":1985,"url":"http://doi.org/10.1002/1097-0142(19850101)55:1\u003c214::aid-cncr2820550135\u003e3.0.co;2-h","authors":"Schmitt T., Ogris C., Sonnhammer EL.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt984","created_at":"2021-09-30T08:25:51.836Z","updated_at":"2021-09-30T08:25:51.836Z"}],"licence_links":[],"grants":[{"id":133,"fairsharing_record_id":1584,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:24:19.710Z","updated_at":"2021-09-30T09:24:19.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":132,"fairsharing_record_id":1584,"organisation_id":2644,"relation":"maintains","created_at":"2021-09-30T09:24:19.663Z","updated_at":"2021-09-30T09:24:19.663Z","grant_id":null,"is_lead":false,"saved_state":{"id":2644,"name":"Stockholm Bioinformatics Center, Sweden","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1592","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:22.349Z","metadata":{"doi":"10.25504/FAIRsharing.2by003","name":"Human Gene and Protein Database","status":"ready","contacts":[{"contact_name":"HGDP Helpmail","contact_email":"HGPD@m.aist.go.jp"}],"homepage":"http://hgpd.lifesciencedb.jp/cgi/","citations":[],"identifier":1592,"description":"Human Gene and Protein Database (HGPD) presents SDS-PAGE patterns and other informations of human genes and proteins.","abbreviation":"HGPD","data_curation":{"type":"manual"},"support_links":[{"url":"http://hgpd.lifesciencedb.jp/sys_info/q_a.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://hgpd.lifesciencedb.jp/sys_info/help.html","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://hgpd.lifesciencedb.jp/cgi/pg_ad_srch.cgi","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000047","bsg-d000047"],"name":"FAIRsharing record for: Human Gene and Protein Database","abbreviation":"HGPD","url":"https://fairsharing.org/10.25504/FAIRsharing.2by003","doi":"10.25504/FAIRsharing.2by003","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Human Gene and Protein Database (HGPD) presents SDS-PAGE patterns and other informations of human genes and proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Gene Ontology enrichment","Gene model annotation","Image","Protein Analysis","Phenotype","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":70,"pubmed_id":19054851,"title":"Human protein factory for converting the transcriptome into an in vitro-expressed proteome,.","year":2008,"url":"http://doi.org/10.1038/nmeth.1273","authors":"Goshima N., Kawamura Y., Fukumoto A., Miura A., Honma R., Satoh R., Wakamatsu A., Yamamoto J., Kimura K., Nishikawa T., Andoh T., Iida Y., Ishikawa K., Ito E., Kagawa N., Kaminaga C., Kanehori K., Kawakami B., Kenmochi K., Kimura R., Kobayashi M., Kuroita T., Kuwayama H., Maruyama Y., Matsuo K., Minami K., Mitsubori M., Mori M., Morishita R., Murase A., Nishikawa A., Nishikawa S., Okamoto T., Sakagami N., Sakamoto Y., Sasaki Y., Seki T., Sono S., Sugiyama A., Sumiya T., Takayama T., Takayama Y., Takeda H., Togashi T., Yahata K., Yamada H., Yanagisawa Y., Endo Y., Imamoto F., Kisu Y., Tanaka S., Isogai T., Imai J., Watanabe S., Nomura N.,","journal":"Nat. Methods","doi":"doi:10.1038/nmeth.1273","created_at":"2021-09-30T08:22:27.755Z","updated_at":"2021-09-30T08:22:27.755Z"},{"id":71,"pubmed_id":19073703,"title":"Human Gene and Protein Database (HGPD): a novel database presenting a large quantity of experiment-based results in human proteomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn872","authors":"Maruyama Y., Wakamatsu A., Kawamura Y., Kimura K., Yamamoto J., Nishikawa T., Kisu Y., Sugano S., Goshima N., Isogai T., Nomura N.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn872","created_at":"2021-09-30T08:22:27.856Z","updated_at":"2021-09-30T08:22:27.856Z"},{"id":1247,"pubmed_id":22140100,"title":"HGPD: Human Gene and Protein Database, 2012 update.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1188","authors":"Maruyama Y,Kawamura Y,Nishikawa T,Isogai T,Nomura N,Goshima N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1188","created_at":"2021-09-30T08:24:39.071Z","updated_at":"2021-09-30T11:29:04.001Z"}],"licence_links":[],"grants":[{"id":160,"fairsharing_record_id":1592,"organisation_id":2007,"relation":"maintains","created_at":"2021-09-30T09:24:20.796Z","updated_at":"2021-09-30T09:24:20.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":158,"fairsharing_record_id":1592,"organisation_id":1588,"relation":"funds","created_at":"2021-09-30T09:24:20.731Z","updated_at":"2021-09-30T09:24:20.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":1588,"name":"Japan Biological Informatics Consortium (JBIC), Tokyo, Japan","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":159,"fairsharing_record_id":1592,"organisation_id":266,"relation":"maintains","created_at":"2021-09-30T09:24:20.763Z","updated_at":"2021-09-30T09:24:20.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":266,"name":"Biomedical Informatics Laboratory, Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1593","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:25.821Z","metadata":{"doi":"10.25504/FAIRsharing.g56qnp","name":"Histone Infobase","status":"ready","contacts":[{"contact_name":"Sanjeev Galande","contact_email":"sanjeev@iiserpune.ac.in"}],"homepage":"http://www3.iiserpune.ac.in/~coee/histome/","citations":[],"identifier":1593,"description":"HIstome (Human histone database) is a freely available, specialist, electronic database dedicated to display information about human histone variants, sites of their post-translational modifications and about various histone modifying enzymes.","abbreviation":"HIstome","data_curation":{"url":"https://doi.org/10.1093/nar/gkr1125","type":"manual"},"support_links":[{"url":"https://en.wikipedia.org/wiki/HIstome","type":"Wikipedia"},{"url":"http://www3.iiserpune.ac.in/~coee/histome/how_to_use.php","name":"How to use HIstome","type":"Help documentation"},{"url":"histome@iiserpune.ac.in","type":"Support email"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010977","name":"re3data:r3d100010977","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006972","name":"SciCrunch:RRID:SCR_006972","portal":"SciCrunch"}],"data_access_condition":{"url":"http://www3.iiserpune.ac.in/~coee/histome/","type":"open","notes":"HIstome is freely available"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkr1125","type":"not applicable","notes":"Information within Histome is drawn from primary databases only."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000048","bsg-d000048"],"name":"FAIRsharing record for: Histone Infobase","abbreviation":"HIstome","url":"https://fairsharing.org/10.25504/FAIRsharing.g56qnp","doi":"10.25504/FAIRsharing.g56qnp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HIstome (Human histone database) is a freely available, specialist, electronic database dedicated to display information about human histone variants, sites of their post-translational modifications and about various histone modifying enzymes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenetics","Life Science"],"domains":["Citation","Gene name","Free text","Histone","Post-translational protein modification","Enzyme","Cross linking","Promoter","Amino acid sequence"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1084,"pubmed_id":22140112,"title":"HIstome--a relational knowledgebase of human histone proteins and histone modifying enzymes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1125","authors":"Khare SP,Habib F,Sharma R,Gadewal N,Gupta S,Galande S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1125","created_at":"2021-09-30T08:24:20.096Z","updated_at":"2021-09-30T11:28:58.084Z"}],"licence_links":[],"grants":[{"id":162,"fairsharing_record_id":1593,"organisation_id":1332,"relation":"funds","created_at":"2021-09-30T09:24:20.853Z","updated_at":"2021-09-30T09:24:20.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":1332,"name":"Indian Institute of Science Education and Research Pune, India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":161,"fairsharing_record_id":1593,"organisation_id":27,"relation":"maintains","created_at":"2021-09-30T09:24:20.829Z","updated_at":"2021-09-30T09:24:20.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":27,"name":"Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre (TMC), Navi Mumbai, India","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1594","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-20T14:08:52.465Z","metadata":{"doi":"10.25504/FAIRsharing.m90ne8","name":"Human Mitochondrial Database","status":"deprecated","contacts":[{"contact_name":"Marcella Attimonelli","contact_email":"marcella.attimonelli@uniba.it"}],"homepage":"http://www.hmtdb.uniba.it","citations":[{"doi":"10.1093/nar/gkw1066","pubmed_id":null,"publication_id":3992}],"identifier":1594,"description":"HmtDB is an open resource created to support population genetics and mitochondrial disease studies. The database hosts human mitochondrial genome sequences annotated with population and variability data, the latter being estimated through the application of the SiteVar/MitVarProt programs, based on site-specific nucleotide and aminoacid variability calculations. The annotations are manually curated thus adding value to the quality of the information provided to the end-user.","abbreviation":"HmtDB","data_curation":{"type":"manual/automated","notes":" computed prediction of haplogroup and site specific variability[SiteVar algorithm]"},"support_links":[{"url":"hmtdb.update@uniba.it","type":"Support email"},{"url":"https://github.com/mitoNGS/MToolBox","type":"Github"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"https://github.com/mitoNGS/MToolBox","name":"MToolBox"}],"deprecation_date":"2023-09-20","deprecation_reason":"The homepage for this resource no longer exists, and a suitable replacement cannot be found. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000049","bsg-d000049"],"name":"FAIRsharing record for: Human Mitochondrial Database","abbreviation":"HmtDB","url":"https://fairsharing.org/10.25504/FAIRsharing.m90ne8","doi":"10.25504/FAIRsharing.m90ne8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HmtDB is an open resource created to support population genetics and mitochondrial disease studies. The database hosts human mitochondrial genome sequences annotated with population and variability data, the latter being estimated through the application of the SiteVar/MitVarProt programs, based on site-specific nucleotide and aminoacid variability calculations. The annotations are manually curated thus adding value to the quality of the information provided to the end-user.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Mitochondrial genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":77,"pubmed_id":16351753,"title":"HmtDB, a human mitochondrial genomic resource based on variability studies supporting population genetics and biomedical research.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-S4-S4","authors":"Attimonelli M., Accetturo M., Santamaria M., Lascaro D., Scioscia G., Pappadà G., Russo L., Zanchetta L., Tommaseo-Ponzetta M.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-S4-S4","created_at":"2021-09-30T08:22:28.471Z","updated_at":"2021-09-30T08:22:28.471Z"},{"id":3992,"pubmed_id":null,"title":"HmtDB 2016: data update, a better performing query system and human mitochondrial DNA haplogroup predictor","year":2016,"url":"http://dx.doi.org/10.1093/nar/gkw1066","authors":"Clima, Rosanna; Preste, Roberto; Calabrese, Claudia; Diroma, Maria Angela; Santorsola, Mariangela; Scioscia, Gaetano; Simone, Domenico; Shen, Lishuang; Gasparre, Giuseppe; Attimonelli, Marcella; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1066","created_at":"2023-09-20T14:02:52.827Z","updated_at":"2023-09-20T14:02:52.827Z"}],"licence_links":[],"grants":[{"id":10870,"fairsharing_record_id":1594,"organisation_id":3018,"relation":"maintains","created_at":"2023-09-20T14:06:59.206Z","updated_at":"2023-09-20T14:06:59.206Z","grant_id":null,"is_lead":true,"saved_state":{"id":3018,"name":"University of Bari, Bari, Italy","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1595","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:52:07.042Z","metadata":{"doi":"10.25504/FAIRsharing.m4a6d3","name":"HotRegion","status":"deprecated","contacts":[],"homepage":"http://prism.ccbb.ku.edu.tr/hotregion","citations":[],"identifier":1595,"description":"Database of interaction Hotspots across the proteome. Hot spots are energetically important residues at protein interfaces and they are not randomly distributed across the interface but rather clustered. These clustered hot spots form hot regions. HotRegion, provides information of these interfaces by using predicted hot spot residues, and structural properties of these interface residues such as pair potentials of interface residues, accessible surface area (ASA) and relative ASA values of interface residues of both monomer and complex forms of proteins. Also, the 3D visualization of the interface and interactions among hot spot residues are provided.","abbreviation":"HotRegion","data_curation":{"type":"automated"},"support_links":[{"url":"http://prism.ccbb.ku.edu.tr/hotregion/tutorial.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2022-06-29","deprecation_reason":"This resource is no longer available at the stated homepage. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000050","bsg-d000050"],"name":"FAIRsharing record for: HotRegion","abbreviation":"HotRegion","url":"https://fairsharing.org/10.25504/FAIRsharing.m4a6d3","doi":"10.25504/FAIRsharing.m4a6d3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of interaction Hotspots across the proteome. Hot spots are energetically important residues at protein interfaces and they are not randomly distributed across the interface but rather clustered. These clustered hot spots form hot regions. HotRegion, provides information of these interfaces by using predicted hot spot residues, and structural properties of these interface residues such as pair potentials of interface residues, accessible surface area (ASA) and relative ASA values of interface residues of both monomer and complex forms of proteins. Also, the 3D visualization of the interface and interactions among hot spot residues are provided.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction"],"taxonomies":["All"],"user_defined_tags":["Hot region","Hot spot"],"countries":["Turkey"],"publications":[{"id":68,"pubmed_id":20437205,"title":"Analysis of hot region organization in hub proteins.","year":2010,"url":"http://doi.org/10.1007/s10439-010-0048-9","authors":"Cukuroglu E., Gursoy A., Keskin O.,","journal":"Ann Biomed Eng","doi":"10.1007/s10439-010-0048-9","created_at":"2021-09-30T08:22:27.571Z","updated_at":"2021-09-30T08:22:27.571Z"},{"id":82,"pubmed_id":15644221,"title":"Hot regions in protein--protein interactions: the organization and contribution of structurally conserved hot spot residues.","year":2005,"url":"http://doi.org/10.1016/j.jmb.2004.10.077","authors":"Keskin O., Ma B., Nussinov R.,","journal":"J. Mol. Biol.","doi":"10.1016/j.jmb.2004.10.077","created_at":"2021-09-30T08:22:28.896Z","updated_at":"2021-09-30T08:22:28.896Z"},{"id":1552,"pubmed_id":22080558,"title":"HotRegion: a database of predicted hot spot clusters.","year":2011,"url":"http://doi.org/10.1093/nar/gkr929","authors":"Cukuroglu E,Gursoy A,Keskin O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr929","created_at":"2021-09-30T08:25:13.859Z","updated_at":"2021-09-30T11:29:13.410Z"}],"licence_links":[],"grants":[{"id":166,"fairsharing_record_id":1595,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:21.006Z","updated_at":"2021-09-30T09:24:21.006Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":164,"fairsharing_record_id":1595,"organisation_id":2710,"relation":"funds","created_at":"2021-09-30T09:24:20.947Z","updated_at":"2021-09-30T09:30:15.030Z","grant_id":621,"is_lead":false,"saved_state":{"id":2710,"name":"TBTAK, Ankara, Turkey","grant":"109E207","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8122,"fairsharing_record_id":1595,"organisation_id":2710,"relation":"funds","created_at":"2021-09-30T09:31:04.063Z","updated_at":"2021-09-30T09:31:04.120Z","grant_id":1001,"is_lead":false,"saved_state":{"id":2710,"name":"TBTAK, Ankara, Turkey","grant":"109T343","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1596","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:36.170Z","metadata":{"doi":"10.25504/FAIRsharing.dz1xxr","name":"Integrative and Conjugative Elements in Bacteria","status":"ready","contacts":[{"contact_name":"Hong-Yu OU","contact_email":"hyou@sjtu.edu.cn","contact_orcid":"0000-0001-9439-1660"}],"homepage":"http://db-mml.sjtu.edu.cn/ICEberg/","citations":[],"identifier":1596,"description":"A web-based resource for integrative and conjugative elements (ICEs) found in bacteria. It collates available data from experimental and bioinformatics analyses, and literature, about known and putative ICEs in bacteria as a PostgreSQL-based database called ICEberg. This database contains detailed information on all archived ICEs and the genes carried by each entity, including unique identifiers, species details and hyperlink-paths to other public databases, like NCBI, UniprotKB and KEGG.","abbreviation":"ICEberg","data_curation":{"type":"manual"},"support_links":[{"url":"http://db-mml.sjtu.edu.cn/ICEberg/contact.html","type":"Contact form"},{"url":"http://db-mml.sjtu.edu.cn/ICEberg/Introduction.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://blast.wustl.edu","name":"BLAST 2.0"},{"url":"http://gmod.org/wiki/Ggb/","name":"GBrowse"},{"url":"https://www.postgresql.org/about/","name":"PostgreSQL"},{"url":"http://www.drive5.com/muscle/","name":"MUSCLE"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000051","bsg-d000051"],"name":"FAIRsharing record for: Integrative and Conjugative Elements in Bacteria","abbreviation":"ICEberg","url":"https://fairsharing.org/10.25504/FAIRsharing.dz1xxr","doi":"10.25504/FAIRsharing.dz1xxr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A web-based resource for integrative and conjugative elements (ICEs) found in bacteria. It collates available data from experimental and bioinformatics analyses, and literature, about known and putative ICEs in bacteria as a PostgreSQL-based database called ICEberg. This database contains detailed information on all archived ICEs and the genes carried by each entity, including unique identifiers, species details and hyperlink-paths to other public databases, like NCBI, UniprotKB and KEGG.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Microbial Genetics"],"domains":["Conjugative transposon","Genomic island","Mobile genetic element"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":745,"pubmed_id":22009673,"title":"ICEberg: a web-based resource for integrative and conjugative elements found in Bacteria.","year":2011,"url":"http://doi.org/10.1093/nar/gkr846","authors":"Bi D,Xu Z,Harrison EM,Tai C,Wei Y,He X,Jia S,Deng Z,Rajakumar K,Ou HY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr846","created_at":"2021-09-30T08:23:42.042Z","updated_at":"2021-09-30T11:28:49.508Z"}],"licence_links":[],"grants":[{"id":170,"fairsharing_record_id":1596,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:21.109Z","updated_at":"2021-09-30T09:29:30.849Z","grant_id":279,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","grant":"NCET-10-0572","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":168,"fairsharing_record_id":1596,"organisation_id":2628,"relation":"maintains","created_at":"2021-09-30T09:24:21.054Z","updated_at":"2021-09-30T09:24:21.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":2628,"name":"State Key Laboratory of Microbial Metabolism, Shanghai Jiaotong University, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":169,"fairsharing_record_id":1596,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:21.079Z","updated_at":"2021-09-30T09:24:21.079Z","grant_id":null,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":167,"fairsharing_record_id":1596,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:21.028Z","updated_at":"2021-09-30T09:29:54.038Z","grant_id":458,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2011BAD23B05-3","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8019,"fairsharing_record_id":1596,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:25.494Z","updated_at":"2021-09-30T09:30:25.553Z","grant_id":705,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2012CB721002","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8326,"fairsharing_record_id":1596,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:06.183Z","updated_at":"2021-09-30T09:32:06.241Z","grant_id":1470,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009CB118901","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1597","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:17.971Z","metadata":{"doi":"10.25504/FAIRsharing.h3y42f","name":"Intrinsically Disordered proteins with Extensive Annotations and Literature","status":"ready","contacts":[{"contact_name":"Satoshi Fukuchi","contact_email":"sfukuchi@maebashi-it.ac.jp"}],"homepage":"https://www.ideal-db.org/","citations":[{"doi":"10.1093/nar/gkt1010","pubmed_id":24178034,"publication_id":2728}],"identifier":1597,"description":"IDEAL (Intrinsically Disordered proteins with Extensive Annotations and Literature) is a collection of experimentally-verified intrinsically disordered proteins (IDPs) that cannot adopt stable globular structures under physiological conditions. IDEAL contains manually curated annotations on IDPs in locations, structures, and functional sites such as protein binding regions and post-translational modification sites together with references and structural domain assignments.","abbreviation":"IDEAL","data_curation":{"url":"https://www.ideal-db.org/help.pdf","type":"manual","notes":"IDEAL contains manual annotations by curators."},"support_links":[{"url":"ideal-admin@force.cs.is.nagoya-u.ac.jp","name":"General Enquiries","type":"Support email"},{"url":"mota@i.nagoya-u.ac.jp","name":"Motonori Ota","type":"Support email"},{"url":"https://www.ideal-db.org/help.pdf","name":"User Manual","type":"Help documentation"},{"url":"https://www.ideal-db.org/statistics.html","name":"Statistics","type":"Help documentation"},{"url":"https://www.ideal-db.org/whatsnew.html","name":"News","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000052","bsg-d000052"],"name":"FAIRsharing record for: Intrinsically Disordered proteins with Extensive Annotations and Literature","abbreviation":"IDEAL","url":"https://fairsharing.org/10.25504/FAIRsharing.h3y42f","doi":"10.25504/FAIRsharing.h3y42f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IDEAL (Intrinsically Disordered proteins with Extensive Annotations and Literature) is a collection of experimentally-verified intrinsically disordered proteins (IDPs) that cannot adopt stable globular structures under physiological conditions. IDEAL contains manually curated annotations on IDPs in locations, structures, and functional sites such as protein binding regions and post-translational modification sites together with references and structural domain assignments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Post-translational protein modification","Molecular interaction","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":["Ordered regions in proteins"],"countries":["Japan"],"publications":[{"id":2728,"pubmed_id":24178034,"title":"IDEAL in 2014 illustrates interaction networks composed of intrinsically disordered proteins and their binding partners.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1010","authors":"Fukuchi S,Amemiya T,Sakamoto S,Nobe Y,Hosoda K,Kado Y,Murakami SD,Koike R,Hiroaki H,Ota M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1010","created_at":"2021-09-30T08:27:35.076Z","updated_at":"2021-09-30T11:29:42.154Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1767,"relation":"undefined"}],"grants":[{"id":172,"fairsharing_record_id":1597,"organisation_id":1743,"relation":"maintains","created_at":"2021-09-30T09:24:21.199Z","updated_at":"2021-09-30T09:24:21.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":1743,"name":"Maebashi Institute of Technology, Gunma, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":171,"fairsharing_record_id":1597,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:21.159Z","updated_at":"2021-09-30T09:24:21.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":173,"fairsharing_record_id":1597,"organisation_id":1925,"relation":"maintains","created_at":"2021-09-30T09:24:21.231Z","updated_at":"2021-09-30T09:24:21.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":1925,"name":"Nagoya University, Nagoya, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1575","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:13:49.573Z","metadata":{"doi":"10.25504/FAIRsharing.tw7vf","name":"Human Disease-Related Viral Integration Sites","status":"deprecated","contacts":[{"contact_name":"Haitao Zhao","contact_email":"zhaoht@pumch.cn"}],"homepage":"http://www.bioinfo.org/drvis/index.php","identifier":1575,"description":"Dr.VIS collects and locates human disease-related viral integration sites. So far, about 600 sites covering 5 virus organisms and 11 human diseases are available. Integration sites in Dr.VIS are located against chromesome, cytoband, gene and refseq position as specific as possible. Viral-cellular junction sequences are extracted from papers and nucleotide databases, and linked to cooresponding integration sites Graphic views summarizing distribution of viral integration sites are generated according to chromosome maps.","abbreviation":"Dr.VIS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bioinfo.org/drvis/help.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000030","bsg-d000030"],"name":"FAIRsharing record for: Human Disease-Related Viral Integration Sites","abbreviation":"Dr.VIS","url":"https://fairsharing.org/10.25504/FAIRsharing.tw7vf","doi":"10.25504/FAIRsharing.tw7vf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dr.VIS collects and locates human disease-related viral integration sites. So far, about 600 sites covering 5 virus organisms and 11 human diseases are available. Integration sites in Dr.VIS are located against chromesome, cytoband, gene and refseq position as specific as possible. Viral-cellular junction sequences are extracted from papers and nucleotide databases, and linked to cooresponding integration sites Graphic views summarizing distribution of viral integration sites are generated according to chromosome maps.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Sequence position","DNA sequence data","Chromosomal region","Phenotype","Disease","Gene"],"taxonomies":["Barr virus","Hepatitis b virus","Homo sapiens","Human papillomavirus","Merkel cell polyomavirus","Virus type 1"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":750,"pubmed_id":25355513,"title":"Dr.VIS v2.0: an updated database of human disease-related viral integration sites in the era of high-throughput deep sequencing.","year":2014,"url":"http://doi.org/10.1093/nar/gku1074","authors":"Yang X,Li M,Liu Q,Zhang Y,Qian J,Wan X,Wang A,Zhang H,Zhu C,Lu X,Mao Y,Sang X,Zhao H,Zhao Y,Zhang X","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1074","created_at":"2021-09-30T08:23:42.584Z","updated_at":"2021-09-30T11:28:49.693Z"},{"id":1549,"pubmed_id":22135288,"title":"Dr.VIS: a database of human disease-related viral integration sites.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1142","authors":"Zhao X,Liu Q,Cai Q,Li Y,Xu C,Li Y,Li Z,Zhang X","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1142","created_at":"2021-09-30T08:25:13.558Z","updated_at":"2021-09-30T11:29:12.021Z"}],"licence_links":[],"grants":[{"id":8026,"fairsharing_record_id":1575,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:28.493Z","updated_at":"2021-09-30T09:30:28.554Z","grant_id":727,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"91229120","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":99,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:18.452Z","updated_at":"2021-09-30T09:29:47.303Z","grant_id":403,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009AA02Z308","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":105,"fairsharing_record_id":1575,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:18.678Z","updated_at":"2021-09-30T09:29:57.664Z","grant_id":487,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81101955","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":104,"fairsharing_record_id":1575,"organisation_id":2558,"relation":"funds","created_at":"2021-09-30T09:24:18.629Z","updated_at":"2021-09-30T09:32:00.086Z","grant_id":1423,"is_lead":false,"saved_state":{"id":2558,"name":"Shanghai Municipal Health Bureau Scientific Research Task","grant":"20114182","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8307,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:00.781Z","updated_at":"2021-09-30T09:32:00.831Z","grant_id":1428,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2010CB945501","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8441,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:39.535Z","updated_at":"2021-09-30T09:32:39.588Z","grant_id":1721,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2010CB529200","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8880,"fairsharing_record_id":1575,"organisation_id":915,"relation":"funds","created_at":"2022-02-13T18:59:37.184Z","updated_at":"2022-02-13T18:59:37.184Z","grant_id":1405,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"2010DFB33720","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":100,"fairsharing_record_id":1575,"organisation_id":2365,"relation":"funds","created_at":"2021-09-30T09:24:18.476Z","updated_at":"2021-09-30T09:29:15.144Z","grant_id":159,"is_lead":false,"saved_state":{"id":2365,"name":"Program for New Century Excellent Talents in University of China","grant":"NCET-11-0288","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7994,"fairsharing_record_id":1575,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:17.767Z","updated_at":"2021-09-30T09:30:17.812Z","grant_id":642,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2008BAI64B01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8216,"fairsharing_record_id":1575,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:35.857Z","updated_at":"2021-09-30T09:31:35.902Z","grant_id":1242,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30970623","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1576","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:05:33.103Z","metadata":{"doi":"10.25504/FAIRsharing.tx95wa","name":"EcoliWiki","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"ecoliwiki@gmail.com"}],"homepage":"https://ecoliwiki.org/colipedia/index.php/Welcome_to_EcoliWiki","citations":[],"identifier":1576,"description":"EcoliWiki is a community-based resource for the annotation of all non-pathogenic E. coli, its phages, plasmids, and mobile genetic elements. Users can contribute data to this wiki-style repository.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://ecoliwiki.org/colipedia/index.php/Category:Help","name":"Help Pages","type":"Help documentation"},{"url":"https://ecoliwiki.org/colipedia/index.php/FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[],"deprecation_date":"2024-04-29","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000031","bsg-d000031"],"name":"FAIRsharing record for: EcoliWiki","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tx95wa","doi":"10.25504/FAIRsharing.tx95wa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EcoliWiki is a community-based resource for the annotation of all non-pathogenic E. coli, its phages, plasmids, and mobile genetic elements. Users can contribute data to this wiki-style repository.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Bioinformatics","Genetics"],"domains":["Cis element","Molecular structure","Citation","Protein domain","Expression data","DNA sequence data","Gene Ontology enrichment","PTM site prediction","Function analysis","Gene model annotation","Cellular localization","Centrally registered identifier","Genetic interaction","Transcription factor","Protocol","Plasmid","Cloning plasmid","Phenotype","Classification","Teaching material","Structure","Transposable element","Sequence feature","Operon","Homologous","Orthologous","Insertion sequence","Prophage","Cryptic prophage","Allele","Sequence motif","Genetic strain"],"taxonomies":["Escherichia coli"],"user_defined_tags":["Conjugative plasmid","Expression plasmid","Molecules per cell","Phantom genes","Physical interaction","Unmapped gene"],"countries":["United States"],"publications":[{"id":43,"pubmed_id":19576778,"title":"What we can learn about Escherichia coli through application of Gene Ontology.","year":2009,"url":"http://doi.org/10.1016/j.tim.2009.04.004","authors":"Hu JC., Karp PD., Keseler IM., Krummenacker M., Siegele DA.,","journal":"Trends Microbiol.","doi":"10.1016/j.tim.2009.04.004","created_at":"2021-09-30T08:22:25.055Z","updated_at":"2021-09-30T08:22:25.055Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3186,"relation":"applies_to_content"}],"grants":[{"id":107,"fairsharing_record_id":1576,"organisation_id":2733,"relation":"maintains","created_at":"2021-09-30T09:24:18.725Z","updated_at":"2021-09-30T09:24:18.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":2733,"name":"Texas A\u0026M University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":106,"fairsharing_record_id":1576,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:18.701Z","updated_at":"2021-09-30T09:30:14.606Z","grant_id":617,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U24GM088849","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1577","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:11.091Z","metadata":{"doi":"10.25504/FAIRsharing.j1wj7d","name":"Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups","status":"ready","contacts":[{"contact_name":"Peer Bork","contact_email":"bork@embl.de"}],"homepage":"http://eggnog.embl.de","citations":[],"identifier":1577,"description":"eggNOG (evolutionary genealogy of genes: Non-supervised Orthologous Groups) is a database of orthologous groups of genes. The orthologous groups are annotated with functional description lines (derived by identifying a common denominator for the genes based on their various annotations), with functional categories (i.e derived from the original COG/KOG categories).","abbreviation":"eggNOG","data_curation":{"type":"not found"},"support_links":[{"url":"http://eggnog.embl.de/version_3.0/help.html","type":"Help documentation"},{"url":"http://eggnogdb.embl.de/#/app/methods","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/EggNOG_(database)","type":"Wikipedia"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000032","bsg-d000032"],"name":"FAIRsharing record for: Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups","abbreviation":"eggNOG","url":"https://fairsharing.org/10.25504/FAIRsharing.j1wj7d","doi":"10.25504/FAIRsharing.j1wj7d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: eggNOG (evolutionary genealogy of genes: Non-supervised Orthologous Groups) is a database of orthologous groups of genes. The orthologous groups are annotated with functional description lines (derived by identifying a common denominator for the genes based on their various annotations), with functional categories (i.e derived from the original COG/KOG categories).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Multiple sequence alignment","Gene","Orthologous"],"taxonomies":["All"],"user_defined_tags":["Newick tree"],"countries":["Germany"],"publications":[{"id":52,"pubmed_id":19900971,"title":"eggNOG v2.0: extending the evolutionary genealogy of genes with enhanced non-supervised orthologous groups, species and functional annotations.","year":2009,"url":"http://doi.org/10.1093/nar/gkp951","authors":"Muller J., Szklarczyk D., Julien P., Letunic I., Roth A., Kuhn M., Powell S., von Mering C., Doerks T., Jensen LJ., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp951","created_at":"2021-09-30T08:22:25.956Z","updated_at":"2021-09-30T08:22:25.956Z"},{"id":53,"pubmed_id":17942413,"title":"eggNOG: automated construction and annotation of orthologous groups of genes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm796","authors":"Jensen LJ., Julien P., Kuhn M., von Mering C., Muller J., Doerks T., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm796","created_at":"2021-09-30T08:22:26.056Z","updated_at":"2021-09-30T08:22:26.056Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":95,"relation":"undefined"}],"grants":[{"id":109,"fairsharing_record_id":1577,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:18.776Z","updated_at":"2021-09-30T09:24:18.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":112,"fairsharing_record_id":1577,"organisation_id":930,"relation":"funds","created_at":"2021-09-30T09:24:18.891Z","updated_at":"2021-09-30T09:29:05.266Z","grant_id":87,"is_lead":false,"saved_state":{"id":930,"name":"European FP6 Eurasnet project","grant":"LSHG-CT-2005-518238","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":111,"fairsharing_record_id":1577,"organisation_id":274,"relation":"funds","created_at":"2021-09-30T09:24:18.849Z","updated_at":"2021-09-30T09:32:13.408Z","grant_id":1523,"is_lead":false,"saved_state":{"id":274,"name":"BioSapiens Network of Excellence, Europe","grant":"LSHG-CT-2003-503265","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":113,"fairsharing_record_id":1577,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:24:18.933Z","updated_at":"2021-09-30T09:29:26.427Z","grant_id":251,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"IMPACT 213037","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":110,"fairsharing_record_id":1577,"organisation_id":817,"relation":"funds","created_at":"2021-09-30T09:24:18.807Z","updated_at":"2021-09-30T09:31:42.111Z","grant_id":1289,"is_lead":false,"saved_state":{"id":817,"name":"EC GeneFun","grant":"LSHG-CT-2004-503567","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9350,"fairsharing_record_id":1577,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.321Z","updated_at":"2022-04-11T12:07:32.339Z","grant_id":322,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GS08169","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9366,"fairsharing_record_id":1577,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.433Z","updated_at":"2022-04-11T12:07:33.449Z","grant_id":726,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01GR0454","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1588","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:15:12.516Z","metadata":{"doi":"10.25504/FAIRsharing.f5zx00","name":"Expression Atlas","status":"ready","contacts":[{"contact_email":"atlas-feedback@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/gxa","citations":[{"doi":"0.1093/nar/gkz947","pubmed_id":31665515,"publication_id":2607}],"identifier":1588,"description":"The Expression Atlas is a free resource providing information on gene expression patterns under different biological conditions in a variety of species. Gene expression data is re-analysed in-house to detect genes showing interesting baseline and differential expression patterns, allowing a user to ask questions such as \"what are the genes expressed in normal human liver\" and \"what genes are differentially expressed between water-stressed rice plants and controls with normal watering?\" The resource features proteomics data sets provided by collaborators for corroboration between gene- and protein-level expression results. The latest component, Single Cell Expression Atlas, systematically reanalyses and visualises single cell RNA-sequencing datasets and helps answer questions such as what cell population a gene can act as a marker gene.","abbreviation":"Expression Atlas","data_curation":{"url":"https://www.ebi.ac.uk/gxa/about.html","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/support/gxa","name":"GXA Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/gxa/FAQ.html","name":"Expression Atlas FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/gxa/help/index.html","name":"Expression Atlas Help","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gxa/sc/help.html","name":"Single Cell Expression Atlas Help","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gxa/about.html","name":"About Expression Atlas","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/expression-atlas-quick-tour","name":"Expression atlas quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/course/life-cell-cell-introduction-single-cell-expression-atlas","name":"Webinar Single Cell Expression Atlas","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/explore-gene-expression-across-species-expression-atlas","name":"Webinar Bulk Expression Atlas","type":"Training documentation"},{"url":"https://twitter.com/ExpressionAtlas","name":"@ExpressionAtlas","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Expression_Atlas","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://nunofonseca.github.io/irap/","name":"iRAP"},{"url":"https://www.bioconductor.org/packages/release/bioc/html/ExpressionAtlas.html","name":"ExpressionAtlas R Package on Bioconductor"},{"url":"https://github.com/ebi-gene-expression-group/atlas-heatmap","name":"Expression Atlas Heatmap"},{"url":"https://github.com/ebi-gene-expression-group/atlas-web-core","name":"Expression Atlas web application (core components)"},{"url":"https://github.com/ebi-gene-expression-group/atlas-web-bulk","name":"Expression Atlas web application (bulk components)"},{"url":"https://github.com/ebi-gene-expression-group/atlas-web-single-cell","name":"Expression Atlas web application (single cell components)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010223","name":"re3data:r3d100010223","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007989","name":"SciCrunch:RRID:SCR_007989","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/gxa/about.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000043","bsg-d000043"],"name":"FAIRsharing record for: Expression Atlas","abbreviation":"Expression Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.f5zx00","doi":"10.25504/FAIRsharing.f5zx00","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Expression Atlas is a free resource providing information on gene expression patterns under different biological conditions in a variety of species. Gene expression data is re-analysed in-house to detect genes showing interesting baseline and differential expression patterns, allowing a user to ask questions such as \"what are the genes expressed in normal human liver\" and \"what genes are differentially expressed between water-stressed rice plants and controls with normal watering?\" The resource features proteomics data sets provided by collaborators for corroboration between gene- and protein-level expression results. The latest component, Single Cell Expression Atlas, systematically reanalyses and visualises single cell RNA-sequencing datasets and helps answer questions such as what cell population a gene can act as a marker gene.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11319},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12154},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12580}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Transcriptomics"],"domains":["Expression data","Differential gene expression analysis","Gene expression","RNA sequencing"],"taxonomies":["All"],"user_defined_tags":["Single cell gene expression"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":65,"pubmed_id":19906730,"title":"Gene expression atlas at the European bioinformatics institute.","year":2009,"url":"http://doi.org/10.1093/nar/gkp936","authors":"Kapushesky M., Emam I., Holloway E., Kurnosov P., Zorin A., Malone J., Rustici G., Williams E., Parkinson H., Brazma A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp936","created_at":"2021-09-30T08:22:27.289Z","updated_at":"2021-09-30T08:22:27.289Z"},{"id":382,"pubmed_id":29165655,"title":"Expression Atlas: gene and protein expression across multiple studies and organisms.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1158","authors":"Papatheodorou I,Fonseca NA,Keays M,Tang YA,Barrera E,Bazant W,Burke M,Fullgrabe A,Fuentes AM,George N,Huerta L,Koskinen S,Mohammed S,Geniza M,Preece J,Jaiswal P,Jarnuczak AF,Huber W,Stegle O,Vizcaino JA,Brazma A,Petryszak R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1158","created_at":"2021-09-30T08:23:01.406Z","updated_at":"2021-09-30T11:28:46.133Z"},{"id":817,"pubmed_id":24304889,"title":"Expression Atlas update--a database of gene and transcript expression from microarray- and sequencing-based functional genomics experiments.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1270","authors":"Petryszak R, Burdett T, Fiorelli B, Fonseca NA, Gonzalez-Porta M, Hastings E, Huber W, Jupp S, Keays M, Kryvych N, McMurry J, Marioni JC, Malone J, Megy K, Rustici G, Tang AY, Taubert J, Williams E, Mannion O, Parkinson HE, Brazma A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1270","created_at":"2021-09-30T08:23:50.113Z","updated_at":"2021-09-30T08:23:50.113Z"},{"id":2596,"pubmed_id":26481351,"title":"Expression Atlas update--an integrated database of gene and protein expression in humans, animals and plants.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1045","authors":"Petryszak R,Keays M,Tang YA,Fonseca NA,Barrera E,Burdett T,Fullgrabe A,Fuentes AM,Jupp S,Koskinen S,Mannion O,Huerta L,Megy K,Snow C,Williams E,Barzine M,Hastings E,Weisser H,Wright J,Jaiswal P,Huber W,Choudhary J,Parkinson HE,Brazma A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1045","created_at":"2021-09-30T08:27:18.568Z","updated_at":"2021-09-30T11:29:40.311Z"},{"id":2607,"pubmed_id":31665515,"title":"Expression Atlas update: from tissues to single cells","year":2019,"url":"http://doi.org/10.1093/nar/gkz947","authors":"Irene Papatheodorou, Pablo Moreno, Jonathan Manning, Alfonso Muñoz-Pomer Fuentes, Nancy George, Silvie Fexova et al.,","journal":"Nucleic Acids Research","doi":"0.1093/nar/gkz947","created_at":"2021-09-30T08:27:20.014Z","updated_at":"2021-09-30T08:27:20.014Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2314,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2313,"relation":"undefined"}],"grants":[{"id":148,"fairsharing_record_id":1588,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:20.384Z","updated_at":"2021-09-30T09:24:20.384Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9240,"fairsharing_record_id":1588,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.696Z","updated_at":"2022-04-11T12:07:24.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1589","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:55:02.387Z","metadata":{"doi":"10.25504/FAIRsharing.j7esqq","name":"GeneDB","status":"deprecated","contacts":[{"contact_email":"genedb-help@sanger.ac.uk"}],"homepage":"http://www.genedb.org/","identifier":1589,"description":"GeneDB is a genome database for prokaryotic and eukaryotic organisms and provides a portal through which data generated by the \"Pathogen Genomics\" group at the Wellcome Trust Sanger Institute and other collaborating sequencing centres can be accessed.","abbreviation":"GeneDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genedb.org/Page/genedbFAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.genedb.org/Page/aboutUs","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GeneDB","type":"Wikipedia"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"http://www.sanger.ac.uk/science/tools/artemis","name":"Artemis"},{"url":"http://www.genedb.org/web-artemis/","name":"Web-Artemis"},{"url":"http://www.sanger.ac.uk/science/tools/artemis-comparison-tool-act","name":"ACT"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010626","name":"re3data:r3d100010626","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002774","name":"SciCrunch:RRID:SCR_002774","portal":"SciCrunch"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available, and its data migrated to other resources. (See https://www.genedb.org/)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000044","bsg-d000044"],"name":"FAIRsharing record for: GeneDB","abbreviation":"GeneDB","url":"https://fairsharing.org/10.25504/FAIRsharing.j7esqq","doi":"10.25504/FAIRsharing.j7esqq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneDB is a genome database for prokaryotic and eukaryotic organisms and provides a portal through which data generated by the \"Pathogen Genomics\" group at the Wellcome Trust Sanger Institute and other collaborating sequencing centres can be accessed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Pathogen","Sequence","Genome"],"taxonomies":["Bacteria","Helmintha","Protozoa","Viruses"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":73,"pubmed_id":14681429,"title":"GeneDB: a resource for prokaryotic and eukaryotic organisms.","year":2003,"url":"http://doi.org/10.1093/nar/gkh007","authors":"Hertz-Fowler C., Peacock CS., Wood V., Aslett M., Kerhornou A., Mooney P., Tivey A., Berriman M., Hall N., Rutherford K., Parkhill J., Ivens AC., Rajandream MA., Barrell B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh007","created_at":"2021-09-30T08:22:28.050Z","updated_at":"2021-09-30T08:22:28.050Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Generic (CC BY-NC-ND 2.5)","licence_id":175,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/","link_id":137,"relation":"undefined"},{"licence_name":"Sanger Terms and Conditions of Use","licence_id":725,"licence_url":"http://www.sanger.ac.uk/legal/","link_id":138,"relation":"undefined"}],"grants":[{"id":150,"fairsharing_record_id":1589,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:20.465Z","updated_at":"2021-09-30T09:24:20.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1590","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:36:23.324Z","metadata":{"doi":"10.25504/FAIRsharing.1ety1h","name":"GeneSigDB: a manually curated database and resource for analysis of gene expression signatures","status":"deprecated","contacts":[{"contact_name":"Aedin Culhane","contact_email":"aedin@jimmy.harvard.edu"}],"homepage":"http://www.genesigdb.org","identifier":1590,"description":"Gene Signature DataBase (GeneSigDB) is a database of gene signatures (or gene sets) that have been extracted and manually curated from articles that are indexed by PubMed.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genesigdb.org/genesigdb/","type":"Contact form"},{"url":"genesigdb@jimmy.harvard.edu","type":"Support email"},{"url":"http://www.genesigdb.org/genesigdb/documentation.jsp","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000045","bsg-d000045"],"name":"FAIRsharing record for: GeneSigDB: a manually curated database and resource for analysis of gene expression signatures","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1ety1h","doi":"10.25504/FAIRsharing.1ety1h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Signature DataBase (GeneSigDB) is a database of gene signatures (or gene sets) that have been extracted and manually curated from articles that are indexed by PubMed.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12581}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Bibliography","Cancer","Curated information","Gene"],"taxonomies":["All","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":67,"pubmed_id":19934259,"title":"GeneSigDB--a curated database of gene expression signatures.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1015","authors":"Culhane AC., Schwarzl T., Sultana R., Picard KC., Picard SC., Lu TH., Franklin KR., French SJ., Papenhausen G., Correll M., Quackenbush J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1015","created_at":"2021-09-30T08:22:27.479Z","updated_at":"2021-09-30T08:22:27.479Z"}],"licence_links":[],"grants":[{"id":151,"fairsharing_record_id":1590,"organisation_id":636,"relation":"undefined","created_at":"2021-09-30T09:24:20.497Z","updated_at":"2021-09-30T09:24:20.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":152,"fairsharing_record_id":1590,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:20.529Z","updated_at":"2021-09-30T09:29:52.230Z","grant_id":443,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01-CA098522","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":153,"fairsharing_record_id":1590,"organisation_id":29,"relation":"maintains","created_at":"2021-09-30T09:24:20.552Z","updated_at":"2021-09-30T09:24:20.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":29,"name":"Aedin Culhane Lab, Harvard School of Public Health, Boston, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7952,"fairsharing_record_id":1590,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:30:02.825Z","updated_at":"2021-09-30T09:30:02.929Z","grant_id":529,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"1P50HG004233","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8932,"fairsharing_record_id":1590,"organisation_id":1215,"relation":"maintains","created_at":"2022-03-09T13:28:05.163Z","updated_at":"2022-03-09T13:28:05.163Z","grant_id":null,"is_lead":false,"saved_state":{"id":1215,"name":"Harvard T.H. Chan School of Public Health, Boston, MA, United States","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1591","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T09:45:40.974Z","metadata":{"doi":"10.25504/FAIRsharing.x18jh7","name":"HaploReg","status":"deprecated","contacts":[{"contact_name":"Manolis Kellis","contact_email":"manoli@mit.edu"}],"homepage":"http://compbio.mit.edu/HaploReg","citations":[],"identifier":1591,"description":"HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using LD information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with chromatin state and protein binding annotation from the Roadmap Epigenomics and ENCODE projects, sequence conservation across mammals, the effect of SNPs on regulatory motifs, and the effect of SNPs on expression from eQTL studies. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation.","abbreviation":"HaploReg","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://pubs.broadinstitute.org/mammals/haploreg/haploreg.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2024-04-29","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000046","bsg-d000046"],"name":"FAIRsharing record for: HaploReg","abbreviation":"HaploReg","url":"https://fairsharing.org/10.25504/FAIRsharing.x18jh7","doi":"10.25504/FAIRsharing.x18jh7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using LD information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with chromatin state and protein binding annotation from the Roadmap Epigenomics and ENCODE projects, sequence conservation across mammals, the effect of SNPs on regulatory motifs, and the effect of SNPs on expression from eQTL studies. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Biological regulation","Chromatin immunoprecipitation - DNA sequencing","Conserved region","Allele frequency","Chromatin structure variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Distance to genes","DNAse hypersensitivity"],"countries":["United States"],"publications":[{"id":1525,"pubmed_id":26657631,"title":"HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1340","authors":"Ward LD,Kellis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1340","created_at":"2021-09-30T08:25:10.742Z","updated_at":"2021-09-30T11:29:12.260Z"},{"id":1526,"pubmed_id":22064851,"title":"HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants.","year":2011,"url":"http://doi.org/10.1093/nar/gkr917","authors":"Ward LD,Kellis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr917","created_at":"2021-09-30T08:25:10.849Z","updated_at":"2021-09-30T11:29:12.351Z"}],"licence_links":[],"grants":[{"id":8226,"fairsharing_record_id":1591,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:31:38.123Z","updated_at":"2021-09-30T09:31:38.175Z","grant_id":1259,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01-HG004037","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":155,"fairsharing_record_id":1591,"organisation_id":1632,"relation":"undefined","created_at":"2021-09-30T09:24:20.608Z","updated_at":"2021-09-30T09:24:20.608Z","grant_id":null,"is_lead":false,"saved_state":{"id":1632,"name":"Kellis Lab, MIT Computer Science and Broad Institute, Cambridge, MA, USA","types":["Lab"],"is_lead":false,"relation":"undefined"}},{"id":156,"fairsharing_record_id":1591,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:20.651Z","updated_at":"2021-09-30T09:31:32.417Z","grant_id":1216,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0644282","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":157,"fairsharing_record_id":1591,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:20.693Z","updated_at":"2021-09-30T09:29:00.951Z","grant_id":55,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"RC1-HG005334","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8018,"fairsharing_record_id":1591,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:30:25.275Z","updated_at":"2021-09-30T09:30:25.313Z","grant_id":703,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01-HG008155","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1585","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:33.454Z","metadata":{"doi":"10.25504/FAIRsharing.xf30yc","name":"Fungal and Oomycete genomics resource","status":"ready","contacts":[{"contact_name":"Jason E. Stajich","contact_email":"jason.stajich@ucr.edu","contact_orcid":"0000-0002-7591-0020"}],"homepage":"http://fungidb.org","citations":[],"identifier":1585,"description":"FungiDB is an integrated genomic and functional genomic database for the kingdom Fungi. The database integrates whole genome sequence and annotation and also includes experimental and environmental isolate sequence data. The database includes comparative genomics, analysis of gene expression, and supplemental bioinformatics analyses and a web interface for data-mining.","abbreviation":"FungiDB","data_curation":{"url":"https://fungidb.org/fungidb/app/static-content/methods.html","type":"manual/automated"},"support_links":[{"url":"http://fungidb.org/fungidb/contact.do","type":"Contact form"},{"url":"https://www.genome.gov/glossary/","type":"Help documentation"},{"url":"http://fungidb.org/fungidb/showXmlDataContent.do?name=XmlQuestions.Glossary","type":"Help documentation"},{"url":"http://fungidb.org/fungidb/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Training documentation"},{"url":"https://www.youtube.com/user/EuPathDB/videos?sort=dd\u0026flow=list\u0026view=1","type":"Video"},{"url":"http://workshop.eupathdb.org/current/index.php?page=schedule","type":"Training documentation"},{"url":"https://twitter.com/fungidb","type":"Twitter"},{"url":"https://static-content.veupathdb.org//documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","name":"Submission and Release Policy","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://grna.ctegd.uga.edu/","name":"EuPaGDT"},{"url":"http://companion.gla.ac.uk/","name":"Companion"},{"url":"http://fungidb.org/fungidb/showQuestion.do?questionFullName=UniversalQuestions.UnifiedBlast","name":"blast"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011906","name":"re3data:r3d100011906","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006013","name":"SciCrunch:RRID:SCR_006013","portal":"SciCrunch"}],"data_access_condition":{"url":"https://fungidb.org/fungidb/app/static-content/about.html#about_use","type":"open","notes":"All data provided freely for public use"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"open","notes":"Deposition of in-scope data is open to all"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000040","bsg-d000040"],"name":"FAIRsharing record for: Fungal and Oomycete genomics resource","abbreviation":"FungiDB","url":"https://fairsharing.org/10.25504/FAIRsharing.xf30yc","doi":"10.25504/FAIRsharing.xf30yc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FungiDB is an integrated genomic and functional genomic database for the kingdom Fungi. The database integrates whole genome sequence and annotation and also includes experimental and environmental isolate sequence data. The database includes comparative genomics, analysis of gene expression, and supplemental bioinformatics analyses and a web interface for data-mining.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Citation","Protein domain","Gene name","DNA sequence data","Free text","Gene Ontology enrichment","Protein identification","Gene model annotation","Protein targeting","Protein localization","Genetic polymorphism","RNA sequencing","Phenotype","Crowdsourcing","Single nucleotide polymorphism","Orthologous"],"taxonomies":["Fungi","Oomycetes"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":798,"pubmed_id":27259951,"title":"Database whiplash, crowdsourcing, and FungiDB.","year":2016,"url":"http://doi.org/10.1016/j.fgb.2016.04.002","authors":"Momany M","journal":"Fungal Genet Biol","doi":"10.1016/j.fgb.2016.04.002","created_at":"2021-09-30T08:23:47.986Z","updated_at":"2021-09-30T08:23:47.986Z"},{"id":1364,"pubmed_id":22064857,"title":"FungiDB: an integrated functional genomics database for fungi.","year":2011,"url":"http://doi.org/10.1093/nar/gkr918","authors":"Stajich JE,Harris T,Brunk BP,Brestelli J,Fischer S,Harb OS,Kissinger JC,Li W,Nayak V,Pinney DF,Stoeckert CJ Jr,Roos DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr918","created_at":"2021-09-30T08:24:52.565Z","updated_at":"2021-09-30T11:29:07.101Z"},{"id":1375,"pubmed_id":24813190,"title":"Literature-based gene curation and proposed genetic nomenclature for cryptococcus.","year":2014,"url":"http://doi.org/10.1128/EC.00083-14","authors":"Inglis DO,Skrzypek MS,Liaw E,Moktali V,Sherlock G,Stajich JE","journal":"Eukaryot Cell","doi":"10.1128/EC.00083-14","created_at":"2021-09-30T08:24:53.793Z","updated_at":"2021-09-30T08:24:53.793Z"}],"licence_links":[],"grants":[{"id":137,"fairsharing_record_id":1585,"organisation_id":2944,"relation":"maintains","created_at":"2021-09-30T09:24:19.855Z","updated_at":"2021-09-30T09:24:19.855Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":138,"fairsharing_record_id":1585,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:19.894Z","updated_at":"2021-09-30T09:30:22.458Z","grant_id":681,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":135,"fairsharing_record_id":1585,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:24:19.779Z","updated_at":"2021-09-30T09:24:19.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":139,"fairsharing_record_id":1585,"organisation_id":2854,"relation":"maintains","created_at":"2021-09-30T09:24:19.921Z","updated_at":"2021-09-30T09:24:19.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":8058,"fairsharing_record_id":1585,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:30:41.586Z","updated_at":"2021-09-30T09:30:41.636Z","grant_id":825,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9984,"fairsharing_record_id":1585,"organisation_id":3549,"relation":"maintains","created_at":"2022-10-07T16:10:03.108Z","updated_at":"2022-10-07T16:10:03.108Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":136,"fairsharing_record_id":1585,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:24:19.817Z","updated_at":"2021-09-30T09:30:12.811Z","grant_id":601,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture, US Department of Agriculture","grant":"2011-68004-30104","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":134,"fairsharing_record_id":1585,"organisation_id":439,"relation":"maintains","created_at":"2021-09-30T09:24:19.747Z","updated_at":"2021-09-30T09:24:19.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":439,"name":"Center for Tropical \u0026 Emerging Global Diseases, University of Georgia, Athens, GA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":140,"fairsharing_record_id":1585,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:19.955Z","updated_at":"2021-09-30T09:30:47.467Z","grant_id":872,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R03 AI105636-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdE1CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--048955e2f717f7ca0ab389f1205af039315d6555/fungiDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1586","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:26.366Z","metadata":{"doi":"10.25504/FAIRsharing.556qpw","name":"FunTree: A Resource For Exploring The Functional Evolution Of Structurally Defined Enzyme Superfamilies","status":"ready","contacts":[{"contact_name":"Nick Furnham","contact_email":"Nick.Furnham@lshtm.ac.uk"}],"homepage":"http://www.funtree.info/FunTree/","citations":[],"identifier":1586,"description":"A resource for exploring the evolution of protein function through relationships in sequence, structure, phylogeny and function.","abbreviation":"FunTree","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://cpmb.lshtm.ac.uk/templates/FunTree_Docs.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000041","bsg-d000041"],"name":"FAIRsharing record for: FunTree: A Resource For Exploring The Functional Evolution Of Structurally Defined Enzyme Superfamilies","abbreviation":"FunTree","url":"https://fairsharing.org/10.25504/FAIRsharing.556qpw","doi":"10.25504/FAIRsharing.556qpw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A resource for exploring the evolution of protein function through relationships in sequence, structure, phylogeny and function.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12578}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenetics","Life Science"],"domains":["Protein structure","Function analysis","Evolution","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":1321,"pubmed_id":26590404,"title":"FunTree: advances in a resource for exploring and contextualising protein function evolution.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1274","authors":"Sillitoe I,Furnham N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1274","created_at":"2021-09-30T08:24:47.692Z","updated_at":"2021-09-30T11:29:06.043Z"},{"id":1528,"pubmed_id":22006843,"title":"FunTree: a resource for exploring the functional evolution of structurally defined enzyme superfamilies.","year":2011,"url":"http://doi.org/10.1093/nar/gkr852","authors":"Furnham N,Sillitoe I,Holliday GL,Cuff AL,Rahman SA,Laskowski RA,Orengo CA,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr852","created_at":"2021-09-30T08:25:11.049Z","updated_at":"2021-09-30T11:29:12.577Z"}],"licence_links":[],"grants":[{"id":145,"fairsharing_record_id":1586,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:20.216Z","updated_at":"2021-09-30T09:30:49.641Z","grant_id":889,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K020013/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":141,"fairsharing_record_id":1586,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:19.992Z","updated_at":"2021-09-30T09:29:51.678Z","grant_id":439,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"081989/Z/07/A","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":142,"fairsharing_record_id":1586,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:20.101Z","updated_at":"2021-09-30T09:30:16.821Z","grant_id":634,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"MR/K020420","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9239,"fairsharing_record_id":1586,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.642Z","updated_at":"2022-04-11T12:07:24.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9402,"fairsharing_record_id":1586,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.925Z","updated_at":"2022-04-11T12:07:35.942Z","grant_id":858,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-06CH11357","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1598","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:13.166Z","metadata":{"doi":"10.25504/FAIRsharing.ae956n","name":"Integrated Microbial Genomes And Microbiomes","status":"ready","contacts":[{"contact_name":"Victor M. Markowitz","contact_email":"VMMarkowitz@lbl.gov"}],"homepage":"http://img.jgi.doe.gov/cgi-bin/m/main.cgi","citations":[{"doi":"10.1093/nar/gky901","pubmed_id":30289528,"publication_id":3049}],"identifier":1598,"description":"The Integrated Microbial Genomes (IMG/M) aims to support the annotation, analysis and distribution of microbial genome and microbiome datasets sequenced at DOE's Joint Genome Institute (JGI). It also serves as a community resource for analysis and annotation of genome and metagenome datasets in a comprehensive comparative context. The IMG data warehouse integrates genome and metagenome datasets provided by IMG users with a set of publicly available genome and metagenome datasets. IMG/M is also open to scientists worldwide for the annotation, analysis, and distribution of their own genome and microbiome datasets, as long as they agree with the IMG/M data release policy and follow the metadata requirements for integrating data into IMG/M.","abbreviation":"IMG/M","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://img.jgi.doe.gov/cgi-bin/m/main.cgi?section=Questions","name":"Contact Form","type":"Contact form"},{"url":"https://img.jgi.doe.gov/docs/submission/","name":"Submission FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://img.jgi.doe.gov/docs/faq","name":"General FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/a/lbl.gov/g/img-user-forum","name":"IMG User Forum","type":"Forum"},{"url":"https://img.jgi.doe.gov/help.html","name":"Help","type":"Help documentation"},{"url":"https://img.jgi.doe.gov/docs/DownloadingIMGSequenceAndAnnotationData.pdf","name":"Download IMG Sequence \u0026 Annotation Data (PDF)","type":"Help documentation"},{"url":"https://img.jgi.doe.gov/docs/DownloadIMGgenesAnnotated.pdf","name":"Download IMG Genes Annotated with Specific Function (PDF)","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://jgi.doe.gov/data-and-tools/data-management-policy-practices-resources/","name":"More information"},"data_deposition_condition":{"url":"https://img.jgi.doe.gov/cgi-bin/submit/main.cgi","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000053","bsg-d000053"],"name":"FAIRsharing record for: Integrated Microbial Genomes And Microbiomes","abbreviation":"IMG/M","url":"https://fairsharing.org/10.25504/FAIRsharing.ae956n","doi":"10.25504/FAIRsharing.ae956n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Microbial Genomes (IMG/M) aims to support the annotation, analysis and distribution of microbial genome and microbiome datasets sequenced at DOE's Joint Genome Institute (JGI). It also serves as a community resource for analysis and annotation of genome and metagenome datasets in a comprehensive comparative context. The IMG data warehouse integrates genome and metagenome datasets provided by IMG users with a set of publicly available genome and metagenome datasets. IMG/M is also open to scientists worldwide for the annotation, analysis, and distribution of their own genome and microbiome datasets, as long as they agree with the IMG/M data release policy and follow the metadata requirements for integrating data into IMG/M.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12582}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metagenomics","Genomics","Comparative Genomics"],"domains":["Citation","Protein domain","DNA sequence data","Gene Ontology enrichment","Transmembrane protein prediction","Genome annotation","Protein cleavage site prediction","Computational biological predictions","Protein identification","Ribonucleic acid","Gene model annotation","Transport","Molecular interaction","Enzyme","Plasmid","Protein expression profiling","RNA sequencing","Phenotype","Pseudogene","Orthologous","Genome","Microbiome"],"taxonomies":["Archaea","Bacteria","Eukaryota","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1944,"pubmed_id":16873494,"title":"An experimental metagenome data management and analysis system.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl217","authors":"Markowitz VM., Ivanova N., Palaniappan K., Szeto E., Korzeniewski F., Lykidis A., Anderson I., Mavromatis K., Mavrommatis K., Kunin V., Garcia Martin H., Dubchak I., Hugenholtz P., Kyrpides NC.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl217","created_at":"2021-09-30T08:25:58.757Z","updated_at":"2021-09-30T08:25:58.757Z"},{"id":3049,"pubmed_id":30289528,"title":"IMG/M v.5.0: an integrated data management and comparative analysis system for microbial genomes and microbiomes.","year":2018,"url":"http://doi.org/10.1093/nar/gky901","authors":"Chen IA,Chu K,Palaniappan K,Pillay M,Ratner A,Huang J,Huntemann M,Varghese N,White JR,Seshadri R,Smirnova T,Kirton E,Jungbluth SP,Woyke T,Eloe-Fadrosh EA,Ivanova NN,Kyrpides NC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky901","created_at":"2021-09-30T08:28:15.729Z","updated_at":"2021-09-30T11:29:50.129Z"},{"id":3053,"pubmed_id":17932063,"title":"IMG/M: a data management and analysis system for metagenomes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm869","authors":"Markowitz VM., Ivanova NN., Szeto E., Palaniappan K., Chu K., Dalevi D., Chen IM., Grechkin Y., Dubchak I., Anderson I., Lykidis A., Mavromatis K., Hugenholtz P., Kyrpides NC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm869","created_at":"2021-09-30T08:28:16.199Z","updated_at":"2021-09-30T08:28:16.199Z"},{"id":3054,"pubmed_id":24165883,"title":"IMG 4 version of the integrated microbial genomes comparative analysis system.","year":2013,"url":"http://doi.org/10.1093/nar/gkt963","authors":"Markowitz VM,Chen IM,Palaniappan K,Chu K,Szeto E,Pillay M,Ratner A,Huang J,Woyke T,Huntemann M,Anderson I,Billis K,Varghese N,Mavromatis K,Pati A,Ivanova NN,Kyrpides NC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt963","created_at":"2021-09-30T08:28:16.347Z","updated_at":"2021-09-30T11:29:50.312Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1971,"relation":"undefined"},{"licence_name":"JGI Data Management Policy, Practices \u0026 Resources","licence_id":469,"licence_url":"https://jgi.doe.gov/data-and-tools/data-management-policy-practices-resources/","link_id":1970,"relation":"undefined"}],"grants":[{"id":4139,"fairsharing_record_id":1598,"organisation_id":2284,"relation":"collaborates_on","created_at":"2021-09-30T09:26:38.320Z","updated_at":"2022-09-21T21:02:10.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":2284,"name":"Pacific Northwest National Laboratory","types":["Government body","Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":4143,"fairsharing_record_id":1598,"organisation_id":1728,"relation":"collaborates_on","created_at":"2021-09-30T09:26:38.420Z","updated_at":"2022-09-21T21:06:35.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":4142,"fairsharing_record_id":1598,"organisation_id":2204,"relation":"collaborates_on","created_at":"2021-09-30T09:26:38.395Z","updated_at":"2022-09-21T21:06:35.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":2204,"name":"Oak Ridge National Laboratory, USA","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":174,"fairsharing_record_id":1598,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:24:21.268Z","updated_at":"2022-09-21T21:06:45.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9908,"fairsharing_record_id":1598,"organisation_id":3371,"relation":"collaborates_on","created_at":"2022-09-21T21:02:10.868Z","updated_at":"2022-09-21T21:02:10.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":3371,"name":"Environmental Molecular Sciences Laboratory","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":4141,"fairsharing_record_id":1598,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:26:38.371Z","updated_at":"2022-09-21T21:02:10.926Z","grant_id":null,"is_lead":true,"saved_state":{"id":1691,"name":"Berkeley Lab","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":8132,"fairsharing_record_id":1598,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:31:07.505Z","updated_at":"2022-09-21T21:02:11.155Z","grant_id":1028,"is_lead":false,"saved_state":{"id":2943,"name":"Office of Biological and Environmental Research","grant":"DE-AC02-05CH11231 (LBNL)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":176,"fairsharing_record_id":1598,"organisation_id":255,"relation":"collaborates_on","created_at":"2021-09-30T09:24:21.352Z","updated_at":"2022-09-21T21:06:35.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":255,"name":"Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, Berkeley, CA, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1578","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:42.707Z","metadata":{"doi":"10.25504/FAIRsharing.rj3kj5","name":"Eukaryotic Linear Motifs","status":"ready","contacts":[{"contact_name":"ELM feedback email","contact_email":"feedback@elm.eu.org"}],"homepage":"http://elm.eu.org","citations":[],"identifier":1578,"description":"This computational biology resource mainly focuses on annotation and detection of eukaryotic linear motifs (ELMs) by providing both a repository of annotated motif data and an exploratory tool for motif prediction. ELMs, or short linear motifs (SLiMs), are compact protein interaction sites composed of short stretches of adjacent amino acids.","abbreviation":"ELM","data_curation":{"url":"http://elm.eu.org/index.html","type":"manual","notes":"The ELM relational database stores different types of data about experimentally validated SLiMs that are manually curated from the literature."},"support_links":[{"url":"http://elm.eu.org/infos/help.html","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Eukaryotic_Linear_Motif_resource","type":"Wikipedia"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://elm.eu.org/combined_search?query=blast","name":"BLAST"},{"url":"http://elm.eu.org/elms/browse_instances.html","name":"Browse"},{"url":"http://elm.eu.org/search/","name":"Search"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"http://elm.eu.org/infos/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000033","bsg-d000033"],"name":"FAIRsharing record for: Eukaryotic Linear Motifs","abbreviation":"ELM","url":"https://fairsharing.org/10.25504/FAIRsharing.rj3kj5","doi":"10.25504/FAIRsharing.rj3kj5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This computational biology resource mainly focuses on annotation and detection of eukaryotic linear motifs (ELMs) by providing both a repository of annotated motif data and an exploratory tool for motif prediction. ELMs, or short linear motifs (SLiMs), are compact protein interaction sites composed of short stretches of adjacent amino acids.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12576}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Gene Ontology enrichment","Computational biological predictions","Protein interaction","Protein","Sequence motif"],"taxonomies":["Eukaryota"],"user_defined_tags":["Eukaryotic Linear Motif","Polypeptide motif","Short Linear Motif (SLiM)"],"countries":["Germany","European Union"],"publications":[{"id":46,"pubmed_id":12824381,"title":"ELM server: A new resource for investigating short functional sites in modular eukaryotic proteins.","year":2003,"url":"http://doi.org/10.1093/nar/gkg545","authors":"Puntervoll P. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg545","created_at":"2021-09-30T08:22:25.347Z","updated_at":"2021-09-30T08:22:25.347Z"},{"id":291,"pubmed_id":22110040,"title":"ELM--the database of eukaryotic linear motifs.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1064","authors":"Dinkel H. et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1064","created_at":"2021-09-30T08:22:51.330Z","updated_at":"2021-09-30T11:28:44.825Z"},{"id":1274,"pubmed_id":26615199,"title":"ELM 2016--data update and new functionality of the eukaryotic linear motif resource.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1291","authors":"Dinkel H,Van Roey K,Michael S,Kumar M,Uyar B,Altenberg B,Milchevskaya V,Schneider M,Kuhn H,Behrendt A,Dahl SL,Damerell V,Diebel S,Kalman S,Klein S,Knudsen AC,Mader C,Merrill S,Staudt A,Thiel V,Welti L,Davey NE,Diella F,Gibson TJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1291","created_at":"2021-09-30T08:24:42.247Z","updated_at":"2021-09-30T11:29:04.976Z"}],"licence_links":[{"licence_name":"ELM Academic License Agreement","licence_id":265,"licence_url":"http://elm.eu.org/media/Elm_academic_license.pdf","link_id":963,"relation":"undefined"}],"grants":[{"id":118,"fairsharing_record_id":1578,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:19.082Z","updated_at":"2021-09-30T09:29:37.387Z","grant_id":330,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"242129","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":114,"fairsharing_record_id":1578,"organisation_id":2994,"relation":"maintains","created_at":"2021-09-30T09:24:18.971Z","updated_at":"2021-09-30T09:24:18.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2994,"name":"Universitetet i Bergen","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":115,"fairsharing_record_id":1578,"organisation_id":403,"relation":"funds","created_at":"2021-09-30T09:24:19.004Z","updated_at":"2021-09-30T09:24:19.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":117,"fairsharing_record_id":1578,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:19.052Z","updated_at":"2021-09-30T09:24:19.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9216,"fairsharing_record_id":1578,"organisation_id":933,"relation":"funds","created_at":"2022-04-11T12:07:22.971Z","updated_at":"2022-04-11T12:07:22.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":933,"name":"European FP7 EMBRACE project","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1587","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:26:32.999Z","metadata":{"doi":"10.25504/FAIRsharing.hg2xzw","name":"GABI-Kat SimpleSearch","status":"deprecated","contacts":[{"contact_name":"Bernd Weisshaar","contact_email":"bernd.weisshaar@uni-bielefeld.de","contact_orcid":"0000-0002-7635-3473"}],"homepage":"http://www.gabi-kat.de/","identifier":1587,"description":"T-DNA insertions in Arabidopsis and their flanking sequence tags.","abbreviation":"GABI-Kat","data_curation":{"type":"not found"},"support_links":[{"url":"info@gabi-kat.de","type":"Support email"},{"url":"https://www.gabi-kat.de/faq.html","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available as mentioned on the homepage: 'The GABI-Kat confirmation service closed 2019-12-31.'","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000042","bsg-d000042"],"name":"FAIRsharing record for: GABI-Kat SimpleSearch","abbreviation":"GABI-Kat","url":"https://fairsharing.org/10.25504/FAIRsharing.hg2xzw","doi":"10.25504/FAIRsharing.hg2xzw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: T-DNA insertions in Arabidopsis and their flanking sequence tags.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12579}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome annotation","Classification","T-DNA insert exposure","Primer","Flanking region","Sequence tag","Insertion"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":["Flanking Sequence Tags (FST)","Insertion allele"],"countries":["Germany"],"publications":[{"id":74,"pubmed_id":18758448,"title":"T-DNA-mediated transfer of Agrobacterium tumefaciens chromosomal DNA into plants.","year":2008,"url":"http://doi.org/10.1038/nbt.1491","authors":"Ulker B., Li Y., Rosso MG., Logemann E., Somssich IE., Weisshaar B.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt.1491","created_at":"2021-09-30T08:22:28.147Z","updated_at":"2021-09-30T08:22:28.147Z"},{"id":75,"pubmed_id":17062622,"title":"GABI-Kat SimpleSearch: an Arabidopsis thaliana T-DNA mutant database with detailed information for confirmed insertions.","year":2006,"url":"http://doi.org/10.1093/nar/gkl753","authors":"Li Y., Rosso MG., Viehoever P., Weisshaar B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl753","created_at":"2021-09-30T08:22:28.238Z","updated_at":"2021-09-30T08:22:28.238Z"},{"id":76,"pubmed_id":14756321,"title":"An Arabidopsis thaliana T-DNA mutagenized population (GABI-Kat) for flanking sequence tag-based reverse genetics.","year":2004,"url":"http://doi.org/10.1023/B:PLAN.0000009297.37235.4a","authors":"Rosso MG., Li Y., Strizhov N., Reiss B., Dekker K., Weisshaar B.,","journal":"Plant Mol. Biol.","doi":"10.1023/B:PLAN.0000009297.37235.4a","created_at":"2021-09-30T08:22:28.380Z","updated_at":"2021-09-30T08:22:28.380Z"},{"id":78,"pubmed_id":16488113,"title":"Analysis of T-DNA insertion site distribution patterns in Arabidopsis thaliana reveals special features of genes without insertions.","year":2006,"url":"http://doi.org/10.1016/j.ygeno.2005.12.010","authors":"Li Y., Rosso MG., Ulker B., Weisshaar B.,","journal":"Genomics","doi":"10.1016/j.ygeno.2005.12.010","created_at":"2021-09-30T08:22:28.554Z","updated_at":"2021-09-30T08:22:28.554Z"},{"id":79,"pubmed_id":14682050,"title":"High-throughput generation of sequence indexes from T-DNA mutagenized Arabidopsis thaliana lines.","year":2003,"url":"http://doi.org/10.2144/03356st01","authors":"Strizhov N., Li Y., Rosso MG., Viehoever P., Dekker KA., Weisshaar B.,","journal":"BioTechniques","doi":"10.2144/03356st01","created_at":"2021-09-30T08:22:28.638Z","updated_at":"2021-09-30T08:22:28.638Z"},{"id":80,"pubmed_id":12874060,"title":"GABI-Kat SimpleSearch: a flanking sequence tag (FST) database for the identification of T-DNA insertion mutants in Arabidopsis thaliana.","year":2003,"url":"http://doi.org/10.1093/bioinformatics/btg170","authors":"Li Y., Rosso MG., Strizhov N., Viehoever P., Weisshaar B.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btg170","created_at":"2021-09-30T08:22:28.721Z","updated_at":"2021-09-30T08:22:28.721Z"},{"id":1451,"pubmed_id":22080561,"title":"GABI-Kat SimpleSearch: new features of the Arabidopsis thaliana T-DNA mutant database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1047","authors":"Kleinboelting N,Huep G,Kloetgen A,Viehoever P,Weisshaar B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1047","created_at":"2021-09-30T08:25:02.190Z","updated_at":"2021-09-30T11:29:08.693Z"}],"licence_links":[],"grants":[{"id":147,"fairsharing_record_id":1587,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:24:20.343Z","updated_at":"2021-09-30T09:31:35.443Z","grant_id":1238,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"Förderkennzeichen 0313855","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1761","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:41:07.181Z","metadata":{"doi":"10.25504/FAIRsharing.efwq12","name":"UK Stem Cell Bank","status":"ready","contacts":[{"contact_name":"Lyn Healy","contact_email":"lhealy@nibsc.ac.uk"}],"homepage":"https://www.nibsc.org/ukstemcellbank","identifier":1761,"description":"The UK Stem Cell Bank (UKSCB) facilitates the use and sharing of quality-controlled stem cell lines to support scientific research and clinical development of stem cell therapies. The work of the UK Stem Cell Bank covers three main areas: banking for all UK-derived human embryonic stem cell lines, research in the standardisation, quality and safety of human pluripotent stem cell (hPSC)-based products, and regulation regarding international best practice, policies and guidelines relating to stem cell use and regulation around the world.","abbreviation":"UKSCB","data_curation":{"type":"not found"},"support_links":[{"url":"enquiries@ukstemcellbank.org.uk","name":"General Enquiries","type":"Support email"},{"url":"http://www.nibsc.org/science_and_research/advanced_therapies/uk_stem_cell_bank/policies_guidelines_and_due_diligence.aspx","name":"Policies, Guidelines and Due Diligence","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","data_access_condition":{"url":"https://www.nibsc.org/science_and_research/advanced_therapies/uk_stem_cell_bank/apply_for_cell_lines.aspx","type":"controlled","notes":"Application forms must be sent to the UK Steering Committee."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.nibsc.org/science_and_research/advanced_therapies/uk_stem_cell_bank/application_forms.aspx","type":"controlled","notes":"Several deposition procedures are described depending on the type of stem cell lines."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000219","bsg-d000219"],"name":"FAIRsharing record for: UK Stem Cell Bank","abbreviation":"UKSCB","url":"https://fairsharing.org/10.25504/FAIRsharing.efwq12","doi":"10.25504/FAIRsharing.efwq12","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Stem Cell Bank (UKSCB) facilitates the use and sharing of quality-controlled stem cell lines to support scientific research and clinical development of stem cell therapies. The work of the UK Stem Cell Bank covers three main areas: banking for all UK-derived human embryonic stem cell lines, research in the standardisation, quality and safety of human pluripotent stem cell (hPSC)-based products, and regulation regarding international best practice, policies and guidelines relating to stem cell use and regulation around the world.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12625}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Preclinical Studies"],"domains":["Stem cell","Study design"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":441,"pubmed_id":16290151,"title":"The UK Stem Cell Bank: its role as a public research resource centre providing access to well-characterised seed stocks of human stem cell lines.","year":2005,"url":"http://doi.org/10.1016/j.addr.2005.07.019","authors":"Healy L., Hunt C., Young L., Stacey G.,","journal":"Adv. Drug Deliv. Rev.","doi":"10.1016/j.addr.2005.07.019","created_at":"2021-09-30T08:23:07.883Z","updated_at":"2021-09-30T08:23:07.883Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2331,"relation":"undefined"}],"grants":[{"id":688,"fairsharing_record_id":1761,"organisation_id":2001,"relation":"maintains","created_at":"2021-09-30T09:24:40.431Z","updated_at":"2021-09-30T09:24:40.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":2001,"name":"National Institute for Biological Standards and Control (NIBSC), Potters Bar, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":689,"fairsharing_record_id":1761,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:40.455Z","updated_at":"2021-09-30T09:24:40.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1762","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T15:21:38.173Z","metadata":{"doi":"10.25504/FAIRsharing.rwd4wq","name":"cis-Regulatory Element Database","status":"deprecated","contacts":[{"contact_name":"General enquiries","contact_email":"cisred@bcgsc.ca"}],"homepage":"http://www.cisred.org/","citations":[],"identifier":1762,"description":"The cisRED database holds conserved sequence motifs identified by genome scale motif discovery, similarity, clustering, co-occurrence and coexpression calculations. Sequence inputs include low-coverage genome sequence data and ENCODE data.","abbreviation":"cisRED","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cisred.org/content/methods/help/","type":"Help documentation"},{"url":"http://www.cisred.org/content/databases_methods/schema/","type":"Help documentation"},{"url":"http://www.cisred.org/content/databases_methods/method/","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010619","name":"re3data:r3d100010619","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002098","name":"SciCrunch:RRID:SCR_002098","portal":"SciCrunch"}],"deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000220","bsg-d000220"],"name":"FAIRsharing record for: cis-Regulatory Element Database","abbreviation":"cisRED","url":"https://fairsharing.org/10.25504/FAIRsharing.rwd4wq","doi":"10.25504/FAIRsharing.rwd4wq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The cisRED database holds conserved sequence motifs identified by genome scale motif discovery, similarity, clustering, co-occurrence and coexpression calculations. Sequence inputs include low-coverage genome sequence data and ENCODE data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Biological regulation","Genome"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":296,"pubmed_id":16381958,"title":"cisRED: a database system for genome-scale computational discovery of regulatory elements.","year":2005,"url":"http://doi.org/10.1093/nar/gkj075","authors":"Robertson G., Bilenky M., Lin K., He A., Yuen W., Dagpinar M., Varhol R., Teague K., Griffith OL., Zhang X., Pan Y., Hassel M., Sleumer MC., Pan W., Pleasance ED., Chuang M., Hao H., Li YY., Robertson N., Fjell C., Li B., Montgomery SB., Astakhova T., Zhou J., Sander J., Siddiqui AS., Jones SJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj075","created_at":"2021-09-30T08:22:51.907Z","updated_at":"2021-09-30T08:22:51.907Z"}],"licence_links":[],"grants":[{"id":691,"fairsharing_record_id":1762,"organisation_id":1111,"relation":"funds","created_at":"2021-09-30T09:24:40.504Z","updated_at":"2021-09-30T09:24:40.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":690,"fairsharing_record_id":1762,"organisation_id":186,"relation":"funds","created_at":"2021-09-30T09:24:40.480Z","updated_at":"2021-09-30T09:24:40.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":186,"name":"BC Cancer Foundation, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":692,"fairsharing_record_id":1762,"organisation_id":1829,"relation":"funds","created_at":"2021-09-30T09:24:40.545Z","updated_at":"2021-09-30T09:24:40.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":1829,"name":"Michael Smith Foundation for Health Research, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":693,"fairsharing_record_id":1762,"organisation_id":185,"relation":"maintains","created_at":"2021-09-30T09:24:40.583Z","updated_at":"2021-09-30T09:24:40.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":185,"name":"BC Cancer Agency, Canada","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1763","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:25.205Z","metadata":{"doi":"10.25504/FAIRsharing.gk7nfn","name":"Beijing Genomics Institute Rice Information System","status":"deprecated","contacts":[{"contact_name":"Jun Wang","contact_email":"wangj@genomics.org.cn"}],"homepage":"http://rise.genomics.org.cn/","identifier":1763,"description":"In BGI-RIS, sequence contigs of Beijing indica and Syngenta japonica have been further assembled and anchored onto the rice chromosomes. The database has annotated the rice genomes for gene content, repetitive elements, and SNPs. Sequence polymorphisms between different rice subspecies have also been identified.","abbreviation":"BGI-RIS","data_curation":{"type":"not found"},"support_links":[{"url":"rise@genomics.org.cn","type":"Support email"},{"url":"http://rice.genomics.org.cn/rice/doc/help/help.jsp","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://rice.genomics.org.cn/rice2/jsp/blast/blast.jsp","name":"BLAST"},{"url":"http://rice.genomics.org.cn/rice/link/ts.jsp","name":"analyze"},{"url":"http://rice.genomics.org.cn/rice/link/mv.jsp","name":"visualize"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000221","bsg-d000221"],"name":"FAIRsharing record for: Beijing Genomics Institute Rice Information System","abbreviation":"BGI-RIS","url":"https://fairsharing.org/10.25504/FAIRsharing.gk7nfn","doi":"10.25504/FAIRsharing.gk7nfn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In BGI-RIS, sequence contigs of Beijing indica and Syngenta japonica have been further assembled and anchored onto the rice chromosomes. The database has annotated the rice genomes for gene content, repetitive elements, and SNPs. Sequence polymorphisms between different rice subspecies have also been identified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Biological regulation","Single nucleotide polymorphism"],"taxonomies":["Oryza sativa L. ssp. Indica","Oryza sativa L. ssp. japonica"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":290,"pubmed_id":14681438,"title":"BGI-RIS: an integrated information resource and comparative analysis workbench for rice genomics.","year":2003,"url":"http://doi.org/10.1093/nar/gkh085","authors":"Zhao W., Wang J., He X., Huang X., Jiao Y., Dai M., Wei S., Fu J., Chen Y., Ren X., Zhang Y., Ni P., Zhang J., Li S., Wang J., Wong GK., Zhao H., Yu J., Yang H., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh085","created_at":"2021-09-30T08:22:51.232Z","updated_at":"2021-09-30T08:22:51.232Z"}],"licence_links":[],"grants":[{"id":694,"fairsharing_record_id":1763,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.628Z","updated_at":"2021-09-30T09:24:40.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":695,"fairsharing_record_id":1763,"organisation_id":510,"relation":"funds","created_at":"2021-09-30T09:24:40.670Z","updated_at":"2021-09-30T09:24:40.670Z","grant_id":null,"is_lead":false,"saved_state":{"id":510,"name":"China National Grid Project, Beijing, China","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1764","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:57:35.254Z","metadata":{"doi":"10.25504/FAIRsharing.d4q4g2","name":"Chicken Variation Database","status":"deprecated","contacts":[{"contact_name":"General enquiries","contact_email":"ChickVD@genomics.org.cn"}],"homepage":"http://chicken.genomics.org.cn","identifier":1764,"description":"The chicken Variation Database (ChickVD) is an integrated information system for storage, retrieval, visualization and analysis of chicken variation data.","abbreviation":"ChickVD","data_curation":{"type":"not found"},"support_links":[{"url":"http://chicken.genomics.org.cn/chicken/jsp/help.jsp","type":"Help documentation"},{"url":"http://chicken.genomics.org.cn/chicken/jsp/chickvd.format.readme.txt","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://chicken.genomics.org.cn/chicken/jsp/search.jsp","name":"search"},{"url":"http://chicken.genomics.org.cn/chicken/jsp/search.jsp","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by the China National GeneBank DataBase and this particular data can now be found at https://db.cngb.org/search/project/CNPhis0000539","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000222","bsg-d000222"],"name":"FAIRsharing record for: Chicken Variation Database","abbreviation":"ChickVD","url":"https://fairsharing.org/10.25504/FAIRsharing.d4q4g2","doi":"10.25504/FAIRsharing.d4q4g2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The chicken Variation Database (ChickVD) is an integrated information system for storage, retrieval, visualization and analysis of chicken variation data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism","Genome"],"taxonomies":["Gallus gallus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":284,"pubmed_id":15608233,"title":"ChickVD: a sequence variation database for the chicken genome.","year":2004,"url":"http://doi.org/10.1093/nar/gki092","authors":"Wang J., He X., Ruan J., Dai M., Chen J., Zhang Y., Hu Y., Ye C., Li S., Cong L., Fang L., Liu B., Li S., Wang J., Burt DW., Wong GK., Yu J., Yang H., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki092","created_at":"2021-09-30T08:22:50.624Z","updated_at":"2021-09-30T08:22:50.624Z"}],"licence_links":[],"grants":[{"id":697,"fairsharing_record_id":1764,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.787Z","updated_at":"2021-09-30T09:24:40.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":696,"fairsharing_record_id":1764,"organisation_id":510,"relation":"funds","created_at":"2021-09-30T09:24:40.708Z","updated_at":"2021-09-30T09:31:25.335Z","grant_id":1162,"is_lead":false,"saved_state":{"id":510,"name":"China National Grid Project, Beijing, China","grant":"2002AA104250","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1765","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:20:05.147Z","metadata":{"doi":"10.25504/FAIRsharing.nmavtd","name":"Influenza Virus Database","status":"deprecated","contacts":[{"contact_name":"Wang Jing","contact_email":"wangjing@genomics.org.cn"}],"homepage":"http://influenza.psych.ac.cn/","identifier":1765,"description":"IVDB hosts complete genome sequences of influenza A virus generated by BGI and curates all other published influenza virus sequences after expert annotations. IVDB provides a series of tools and viewers for analyzing the viral genomes, genes, genetic polymorphisms and phylogenetic relationships comparatively.","abbreviation":"IVDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://influenza.psych.ac.cn/help/Help.jsp","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://influenza.psych.ac.cn/tools/blast/blastall.jsp","name":"BLAST"},{"url":"http://influenza.psych.ac.cn/tools/Tools.jsp","name":"analyze"}],"deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000223","bsg-d000223"],"name":"FAIRsharing record for: Influenza Virus Database","abbreviation":"IVDB","url":"https://fairsharing.org/10.25504/FAIRsharing.nmavtd","doi":"10.25504/FAIRsharing.nmavtd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IVDB hosts complete genome sequences of influenza A virus generated by BGI and curates all other published influenza virus sequences after expert annotations. IVDB provides a series of tools and viewers for analyzing the viral genomes, genes, genetic polymorphisms and phylogenetic relationships comparatively.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Gene","Genome"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1585,"pubmed_id":17065465,"title":"Influenza Virus Database (IVDB): an integrated information resource and analysis platform for influenza virus research.","year":2006,"url":"http://doi.org/10.1093/nar/gkl779","authors":"Chang S,Zhang J,Liao X,Zhu X,Wang D,Zhu J,Feng T,Zhu B,Gao GF,Wang J,Yang H,Yu J,Wang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl779","created_at":"2021-09-30T08:25:17.658Z","updated_at":"2021-09-30T11:29:14.803Z"}],"licence_links":[],"grants":[{"id":698,"fairsharing_record_id":1765,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.825Z","updated_at":"2021-09-30T09:24:40.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":699,"fairsharing_record_id":1765,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:40.862Z","updated_at":"2021-09-30T09:28:55.267Z","grant_id":16,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2005CB523001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1782","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:24:01.440Z","metadata":{"doi":"10.25504/FAIRsharing.mcrd3t","name":"Human-Transcriptome Database for Alternative Splicing","status":"deprecated","contacts":[{"contact_email":"hinvdb@ml.u-tokai.ac.jp"}],"homepage":"http://h-invitational.jp/h-dbas/","identifier":1782,"description":"H-DBAS offers unique data and viewer for human Alternative Splicing (AS) analysis including genome-wide representative alternative splicing variants (RASVs), RASVs affecting protein functions, conserved RASVs compared with mouse genome (full length cDNAs).","abbreviation":"H-DBAS","data_curation":{"type":"not found"},"support_links":[{"url":"http://jbirc.jbic.or.jp/h-dbas/document/H-DBAS_manual.pdf","type":"Help documentation"},{"url":"http://www.youtube.com/watch?v=IbXHqZD776Y","type":"Video"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2015-09-01","deprecation_reason":"This database is no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000241","bsg-d000241"],"name":"FAIRsharing record for: Human-Transcriptome Database for Alternative Splicing","abbreviation":"H-DBAS","url":"https://fairsharing.org/10.25504/FAIRsharing.mcrd3t","doi":"10.25504/FAIRsharing.mcrd3t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: H-DBAS offers unique data and viewer for human Alternative Splicing (AS) analysis including genome-wide representative alternative splicing variants (RASVs), RASVs affecting protein functions, conserved RASVs compared with mouse genome (full length cDNAs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","Germany","Japan"],"publications":[{"id":311,"pubmed_id":17130147,"title":"H-DBAS: alternative splicing database of completely sequenced and manually annotated full-length cDNAs based on H-Invitational.","year":2006,"url":"http://doi.org/10.1093/nar/gkl854","authors":"Takeda J., Suzuki Y., Nakao M., Kuroda T., Sugano S., Gojobori T., Imanishi T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl854","created_at":"2021-09-30T08:22:53.399Z","updated_at":"2021-09-30T08:22:53.399Z"},{"id":312,"pubmed_id":19969536,"title":"H-DBAS: human-transcriptome database for alternative splicing: update 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp984","authors":"Takeda J., Suzuki Y., Sakate R., Sato Y., Gojobori T., Imanishi T., Sugano S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp984","created_at":"2021-09-30T08:22:53.490Z","updated_at":"2021-09-30T08:22:53.490Z"}],"licence_links":[],"grants":[{"id":749,"fairsharing_record_id":1782,"organisation_id":1889,"relation":"funds","created_at":"2021-09-30T09:24:42.631Z","updated_at":"2021-09-30T09:24:42.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":1889,"name":"Molecular Profiling Research Centre for Drug Discovery (molprof), Tokyo, Japan","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":748,"fairsharing_record_id":1782,"organisation_id":266,"relation":"maintains","created_at":"2021-09-30T09:24:42.547Z","updated_at":"2021-09-30T09:24:42.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":266,"name":"Biomedical Informatics Laboratory, Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":750,"fairsharing_record_id":1782,"organisation_id":2007,"relation":"maintains","created_at":"2021-09-30T09:24:42.668Z","updated_at":"2021-09-30T09:24:42.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1783","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:55.886Z","metadata":{"doi":"10.25504/FAIRsharing.k6vsdr","name":"Database of MHC Ligands and Peptide Motifs","status":"ready","contacts":[{"contact_name":"Stefan Stevanovic","contact_email":"stefan.stevanovic@uni-tuebingen.de"}],"homepage":"http://www.syfpeithi.de/","identifier":1783,"description":"SYFPEITHI is a database comprising more than 7000 peptide sequences known to bind class I and class II MHC molecules.","abbreviation":"SYFPEITHI","data_curation":{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm#scores","type":"automated"},"support_links":[{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","data_access_condition":{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm","type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"http://www.syfpeithi.de/bin/MHCServer.dll/Info.htm#Submitting%20new%20MHC%20Motifs,%20ligands%20and%20T-cell","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000243","bsg-d000243"],"name":"FAIRsharing record for: Database of MHC Ligands and Peptide Motifs","abbreviation":"SYFPEITHI","url":"https://fairsharing.org/10.25504/FAIRsharing.k6vsdr","doi":"10.25504/FAIRsharing.k6vsdr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SYFPEITHI is a database comprising more than 7000 peptide sequences known to bind class I and class II MHC molecules.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Small molecule","Major histocompatibility complex","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":318,"pubmed_id":10602881,"title":"SYFPEITHI: database for MHC ligands and peptide motifs.","year":1999,"url":"http://doi.org/10.1007/s002510050595","authors":"Rammensee H., Bachmann J., Emmerich NP., Bachor OA., Stevanović S.,","journal":"Immunogenetics","doi":"10.1007/s002510050595","created_at":"2021-09-30T08:22:54.107Z","updated_at":"2021-09-30T08:22:54.107Z"}],"licence_links":[],"grants":[{"id":751,"fairsharing_record_id":1783,"organisation_id":3134,"relation":"maintains","created_at":"2021-09-30T09:24:42.700Z","updated_at":"2021-09-30T09:24:42.700Z","grant_id":null,"is_lead":false,"saved_state":{"id":3134,"name":"University of Tbingen, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":752,"fairsharing_record_id":1783,"organisation_id":723,"relation":"maintains","created_at":"2021-09-30T09:24:42.724Z","updated_at":"2021-09-30T09:24:42.724Z","grant_id":null,"is_lead":false,"saved_state":{"id":723,"name":"Department of Medical Informatics, Institute of Medical Biometry und Informatics, Heidelberg University, Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1784","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:22:27.304Z","metadata":{"doi":"10.25504/FAIRsharing.4zw0d9","name":"Cnidarian Evolutionary Genomics Database","status":"deprecated","contacts":[{"contact_name":"J Fryan","contact_email":"jfryan@bu.edu"}],"homepage":"http://cnidbase.com/index.cgi","identifier":1784,"description":"CnidBase, the Cnidarian Evolutionary Genomics Database, is a tool for investigating the evolutionary, developmental and ecological factors that affect gene expression and gene function in cnidarians.","abbreviation":"CnidBase","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://cnidbase.com/blast/","name":"BLAST"}],"deprecation_date":"2021-9-19","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000244","bsg-d000244"],"name":"FAIRsharing record for: Cnidarian Evolutionary Genomics Database","abbreviation":"CnidBase","url":"https://fairsharing.org/10.25504/FAIRsharing.4zw0d9","doi":"10.25504/FAIRsharing.4zw0d9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CnidBase, the Cnidarian Evolutionary Genomics Database, is a tool for investigating the evolutionary, developmental and ecological factors that affect gene expression and gene function in cnidarians.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Evolutionary Biology","Life Science"],"domains":["Sequence similarity","Expression data","DNA sequence data","Evolution","Gene","Amino acid sequence","Genome"],"taxonomies":["Cnidaria"],"user_defined_tags":["Evolutionary relationship between proteins via sequence similarity"],"countries":["United States"],"publications":[{"id":799,"pubmed_id":12519972,"title":"CnidBase: The Cnidarian Evolutionary Genomics Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg116","authors":"Ryan JF., Finnerty JR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg116","created_at":"2021-09-30T08:23:48.095Z","updated_at":"2021-09-30T08:23:48.095Z"}],"licence_links":[],"grants":[{"id":753,"fairsharing_record_id":1784,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:24:42.750Z","updated_at":"2021-09-30T09:24:42.750Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1785","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:11:26.811Z","metadata":{"doi":"10.25504/FAIRsharing.72qwj0","name":"StellaBase","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"cnidteam@gmail.com"}],"homepage":"http://stellabase.org","identifier":1785,"description":"StellaBase is the Nematostella vectensis genomics database.","abbreviation":"StellaBase","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://nematostella.bu.edu/stellabase/blast/blast_cs.html","name":"BLAST"}],"deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000245","bsg-d000245"],"name":"FAIRsharing record for: StellaBase","abbreviation":"StellaBase","url":"https://fairsharing.org/10.25504/FAIRsharing.72qwj0","doi":"10.25504/FAIRsharing.72qwj0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: StellaBase is the Nematostella vectensis genomics database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Expression data","DNA sequence data","Gene","Genome"],"taxonomies":["Nematostella vectensis"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":836,"pubmed_id":16381919,"title":"StellaBase: the Nematostella vectensis Genomics Database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj020","authors":"Sullivan JC., Ryan JF., Watson JA., Webb J., Mullikin JC., Rokhsar D., Finnerty JR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj020","created_at":"2021-09-30T08:23:52.271Z","updated_at":"2021-09-30T08:23:52.271Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":229,"relation":"undefined"}],"grants":[{"id":755,"fairsharing_record_id":1785,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:42.813Z","updated_at":"2021-09-30T09:32:26.379Z","grant_id":1620,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IBN-0212773","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":754,"fairsharing_record_id":1785,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:24:42.777Z","updated_at":"2021-09-30T09:24:42.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1786","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-08T11:04:07.183Z","metadata":{"doi":"10.25504/FAIRsharing.9fz3g3","name":"Tandem Repeats Database","status":"deprecated","contacts":[{"contact_name":"Gary Benson","contact_email":"gbenson@bu.edu"}],"homepage":"http://tandem.bu.edu/cgi-bin/trdb/trdb.exe","citations":[],"identifier":1786,"description":"Tandem Repeats Database (TRDB) is a public repository of information on tandem repeats in genomic DNA and contains a variety of tools for their analysis.","abbreviation":"TRDB","data_curation":{"type":"not found"},"support_links":[{"url":"ygelfand@bu.edu","type":"Support email"},{"url":"http://tandem.bu.edu/cgi-bin/trdb/trdb.exe?taskid=13","type":"Frequently Asked Questions (FAQs)"},{"url":"http://tandem.bu.edu/cgi-bin/trdb/trdb.exe?taskid=30","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","deprecation_date":"2024-07-08","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000246","bsg-d000246"],"name":"FAIRsharing record for: Tandem Repeats Database","abbreviation":"TRDB","url":"https://fairsharing.org/10.25504/FAIRsharing.9fz3g3","doi":"10.25504/FAIRsharing.9fz3g3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Tandem Repeats Database (TRDB) is a public repository of information on tandem repeats in genomic DNA and contains a variety of tools for their analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Tandem repeat"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":261,"pubmed_id":17175540,"title":"TRDB--the Tandem Repeats Database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1013","authors":"Gelfand Y., Rodriguez A., Benson G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1013","created_at":"2021-09-30T08:22:48.191Z","updated_at":"2021-09-30T08:22:48.191Z"}],"licence_links":[{"licence_name":"TRDB Login required for access","licence_id":792,"licence_url":"https://tandem.bu.edu/cgi-bin/trdb/trdb.exe","link_id":263,"relation":"undefined"}],"grants":[{"id":757,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:42.889Z","updated_at":"2021-09-30T09:29:17.969Z","grant_id":184,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0413462","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8328,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:06.618Z","updated_at":"2021-09-30T09:32:06.666Z","grant_id":1473,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0090789","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8443,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:39.793Z","updated_at":"2021-09-30T09:32:39.847Z","grant_id":1723,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"CCR-0073081","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":756,"fairsharing_record_id":1786,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:24:42.852Z","updated_at":"2021-09-30T09:24:42.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8314,"fairsharing_record_id":1786,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:02.116Z","updated_at":"2021-09-30T09:32:02.162Z","grant_id":1438,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IIS-0612153","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1787","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:08.796Z","metadata":{"doi":"10.25504/FAIRsharing.bgm0mm","name":"Database of Liver Expression Profile","status":"deprecated","contacts":[{"contact_email":"zhuyp@hupo.org.cn"}],"homepage":"http://dblep.hupo.org.cn","citations":[],"identifier":1787,"description":"With the rapid progress of the HLPP (Human Liver Proteome Project), a massive quantity of liver proteome expression profile data has been generated. To manage the valuable resource effectively and present it for researchers, a web-based database of liver proteome expression profile named dbLEP has been developed. Currently dbLEP holds two datasets of human fetal liver and HLPP French liver with approximately 17247 proteins and 36990 peptides. Other datasets, such as HLPP Chinese liver and subcellula, C57 mouse liver subcellula will be online soon. Both non-redundant proteins and all possible proteins are presented so that users could understand each dataset comprehensively. Besides the complete identification, dbLEP provides related information like mass spectrums for users to verify the confidence.","abbreviation":"dbLEP","data_curation":{"type":"not found"},"support_links":[{"url":"http://hlpic.hupo.org.cn/dblep/faq.jsf","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.oxfordjournals.org/our_journals/nar/database/summary/1170","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-12-06","deprecation_reason":"This homepage for this resource is no longer valid, and an updated homepage cannot be found. Please let us know if you have any information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000247","bsg-d000247"],"name":"FAIRsharing record for: Database of Liver Expression Profile","abbreviation":"dbLEP","url":"https://fairsharing.org/10.25504/FAIRsharing.bgm0mm","doi":"10.25504/FAIRsharing.bgm0mm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: With the rapid progress of the HLPP (Human Liver Proteome Project), a massive quantity of liver proteome expression profile data has been generated. To manage the valuable resource effectively and present it for researchers, a web-based database of liver proteome expression profile named dbLEP has been developed. Currently dbLEP holds two datasets of human fetal liver and HLPP French liver with approximately 17247 proteins and 36990 peptides. Other datasets, such as HLPP Chinese liver and subcellula, C57 mouse liver subcellula will be online soon. Both non-redundant proteins and all possible proteins are presented so that users could understand each dataset comprehensively. Besides the complete identification, dbLEP provides related information like mass spectrums for users to verify the confidence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Biomedical Science"],"domains":["Mass spectrum","Protein expression profiling","Protein","Liver"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":760,"fairsharing_record_id":1787,"organisation_id":193,"relation":"maintains","created_at":"2021-09-30T09:24:43.031Z","updated_at":"2021-09-30T09:24:43.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":193,"name":"Beijing Proteome Research Centre, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":758,"fairsharing_record_id":1787,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:42.931Z","updated_at":"2021-09-30T09:30:36.991Z","grant_id":791,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2006CB910803","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":761,"fairsharing_record_id":1787,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:43.072Z","updated_at":"2021-09-30T09:30:46.030Z","grant_id":859,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30621063","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":759,"fairsharing_record_id":1787,"organisation_id":192,"relation":"funds","created_at":"2021-09-30T09:24:42.989Z","updated_at":"2021-09-30T09:31:34.041Z","grant_id":1228,"is_lead":false,"saved_state":{"id":192,"name":"Beijing Municipal Science \u0026 Technology Commission, (BMSTC), China","grant":"H030230280590","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1777","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:01.521Z","metadata":{"doi":"10.25504/FAIRsharing.pep8cs","name":"Ciona intestinalis Protein Database","status":"deprecated","contacts":[{"contact_name":"Toshinori Endo","contact_email":"endo@ibio.jp"}],"homepage":"http://cipro.ibio.jp/current/","identifier":1777,"description":"CIPRO is an integrated protein that has been developed to provide widespread information of the proteins expressed in the ascidian Ciona intestinalis, especially for the researcher who wants to get advance and useful information for starting biological and biomedical research. The protein information in CIPRO directly links to gene expression, a tool for peptide mass fingerprinting (PMF), intracellular localization, 3D image of early development, and transgenic resources.","abbreviation":"CIPRO","data_curation":{"type":"not found"},"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://cipro.ibio.jp/2.0/#SEARCH","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000236","bsg-d000236"],"name":"FAIRsharing record for: Ciona intestinalis Protein Database","abbreviation":"CIPRO","url":"https://fairsharing.org/10.25504/FAIRsharing.pep8cs","doi":"10.25504/FAIRsharing.pep8cs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CIPRO is an integrated protein that has been developed to provide widespread information of the proteins expressed in the ascidian Ciona intestinalis, especially for the researcher who wants to get advance and useful information for starting biological and biomedical research. The protein information in CIPRO directly links to gene expression, a tool for peptide mass fingerprinting (PMF), intracellular localization, 3D image of early development, and transgenic resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Ciona intestinalis"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":309,"pubmed_id":21071393,"title":"CIPRO 2.5: Ciona intestinalis protein database, a unique integrated repository of large-scale omics data, bioinformatic analyses and curated annotation, with user rating and reviewing functionality.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1144","authors":"Endo T., Ueno K., Yonezawa K., Mineta K., Hotta K., Satou Y., Yamada L., Ogasawara M., Takahashi H., Nakajima A., Nakachi M., Nomura M., Yaguchi J., Sasakura Y., Yamasaki C., Sera M., Yoshizawa AC., Imanishi T., Taniguchi H., Inaba K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1144","created_at":"2021-09-30T08:22:53.207Z","updated_at":"2021-09-30T08:22:53.207Z"}],"licence_links":[],"grants":[{"id":732,"fairsharing_record_id":1777,"organisation_id":2561,"relation":"maintains","created_at":"2021-09-30T09:24:41.949Z","updated_at":"2021-09-30T09:24:41.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":2561,"name":"Shimoda Marine Research Center, University of Tsukuba","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":734,"fairsharing_record_id":1777,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:24:42.001Z","updated_at":"2021-09-30T09:24:42.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":733,"fairsharing_record_id":1777,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:24:41.972Z","updated_at":"2021-09-30T09:24:41.972Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":736,"fairsharing_record_id":1777,"organisation_id":1256,"relation":"maintains","created_at":"2021-09-30T09:24:42.079Z","updated_at":"2021-09-30T09:24:42.079Z","grant_id":null,"is_lead":false,"saved_state":{"id":1256,"name":"Hokkaido University, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11524,"fairsharing_record_id":1777,"organisation_id":1378,"relation":"funds","created_at":"2024-03-21T13:58:01.370Z","updated_at":"2024-03-21T13:58:01.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":1378,"name":"Institute for Bioinformatics Research and Development, Japan Science and Technology Agency","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1778","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:04.122Z","metadata":{"doi":"10.25504/FAIRsharing.2c45na","name":"PRODORIC","status":"ready","contacts":[{"contact_name":"Christian-Alexander Dudek","contact_email":"c.dudek@tu-braunschweig.de","contact_orcid":"0000-0001-9117-7909"}],"homepage":"https://www.prodoric.de/","citations":[],"identifier":1778,"description":"PRODORIC is a comprehensive database about gene regulation and gene expression in prokaryotes. It includes a manually curated and unique collection of transcription factor binding sites.","abbreviation":null,"data_curation":{"url":"https://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"manual","notes":"It includes a manually curated and unique collection of transcription factor binding sites."},"support_links":[{"url":"https://www.prodoric.de/about.html","name":"About","type":"Other"},{"url":"https://www.prodoric.de/","type":"Blog/News"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"https://www.prodoric.de/vfp/","name":"Virtual Footprint 3.0"},{"url":"http://www.jcat.de","name":"JCat"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"controlled","notes":"A guide to the INNATEDB submission system"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000237","bsg-d000237"],"name":"FAIRsharing record for: PRODORIC","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.2c45na","doi":"10.25504/FAIRsharing.2c45na","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRODORIC is a comprehensive database about gene regulation and gene expression in prokaryotes. It includes a manually curated and unique collection of transcription factor binding sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Biological regulation","Protein","Gene"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":308,"pubmed_id":12519998,"title":"PRODORIC: prokaryotic database of gene regulation.","year":2003,"url":"http://doi.org/10.1093/nar/gkg037","authors":"Münch R., Hiller K., Barg H., Heldt D., Linz S., Wingender E., Jahn D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg037","created_at":"2021-09-30T08:22:53.116Z","updated_at":"2021-09-30T08:22:53.116Z"},{"id":310,"pubmed_id":18974177,"title":"PRODORIC (release 2009): a database and tool platform for the analysis of gene regulation in prokaryotes.","year":2008,"url":"http://doi.org/10.1093/nar/gkn837","authors":"Grote A., Klein J., Retter I., Haddad I., Behling S., Bunk B., Biegler I., Yarmolinetz S., Jahn D., Münch R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn837","created_at":"2021-09-30T08:22:53.307Z","updated_at":"2021-09-30T08:22:53.307Z"},{"id":3192,"pubmed_id":34850133,"title":"PRODORIC: state-of-the-art database of prokaryotic gene regulation.","year":2022,"url":"https://doi.org/10.1093/nar/gkab1110","authors":"Dudek CA, Jahn D","journal":"Nucleic acids research","doi":"10.1093/nar/gkab1110","created_at":"2022-01-21T10:54:52.138Z","updated_at":"2022-01-21T10:54:52.138Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2575,"relation":"applies_to_content"},{"licence_name":"PRODORIC Terms of Use","licence_id":682,"licence_url":"http://prodoric.tu-bs.de/contact.php","link_id":210,"relation":"undefined"}],"grants":[{"id":738,"fairsharing_record_id":1778,"organisation_id":1990,"relation":"maintains","created_at":"2021-09-30T09:24:42.160Z","updated_at":"2021-09-30T09:24:42.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1990,"name":"National Genome Research Network (NGFN), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":740,"fairsharing_record_id":1778,"organisation_id":670,"relation":"maintains","created_at":"2021-09-30T09:24:42.229Z","updated_at":"2021-09-30T09:24:42.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":670,"name":"Department of Bioinformatics and Biochemistry, Institute for Biochemistry and Biotechnology, Technical University Braunschweig, Braunschweig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9352,"fairsharing_record_id":1778,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.481Z","updated_at":"2022-04-11T12:07:32.499Z","grant_id":430,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0313936C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1779","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:55.224Z","metadata":{"doi":"10.25504/FAIRsharing.9k5mbg","name":"National Microbial Pathogen Data Resource","status":"ready","contacts":[{"contact_name":"Rick Stevens","contact_email":"stevens@cs.uchicago.edu"}],"homepage":"http://www.nmpdr.org","identifier":1779,"description":"The NMPDR provided curated annotations in an environment for comparative analysis of genomes and biological subsystems, with an emphasis on the food-borne pathogens Campylobacter, Listeria, Staphylococcus, Streptococcus, and Vibrio; as well as the STD pathogens Chlamydiaceae, Haemophilus, Mycoplasma, Neisseria, Treponema, and Ureaplasma.","abbreviation":"NMPDR","data_curation":{"url":"https://www.bv-brc.org/about","type":"manual/automated"},"support_links":[{"url":"help@nmpdr.org","type":"Support email"},{"url":"http://www.nmpdr.org/FIG/wiki/view.cgi/Main/FAQS","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.nmpdr.org/FIG/wiki/view.cgi/FIG/WebHome","type":"Help documentation"},{"url":"http://www.nmpdr.org/FIG/wiki/view.cgi/Main/HowToUseNMPDR","type":"Training documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://www.nmpdr.org/FIG/wiki/rest.cgi/NmpdrPlugin/search?Class=BlastSearch","name":"BLAST"}],"data_access_condition":{"url":"https://www.bv-brc.org/docs/quick_references/workspaces/workspace.html#creating-and-sharing-workspaces","type":"controlled","notes":"Data shared only with those that have access to the workspace"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.bv-brc.org/docs/quick_references/workspaces/data_upload.html","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000238","bsg-d000238"],"name":"FAIRsharing record for: National Microbial Pathogen Data Resource","abbreviation":"NMPDR","url":"https://fairsharing.org/10.25504/FAIRsharing.9k5mbg","doi":"10.25504/FAIRsharing.9k5mbg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NMPDR provided curated annotations in an environment for comparative analysis of genomes and biological subsystems, with an emphasis on the food-borne pathogens Campylobacter, Listeria, Staphylococcus, Streptococcus, and Vibrio; as well as the STD pathogens Chlamydiaceae, Haemophilus, Mycoplasma, Neisseria, Treponema, and Ureaplasma.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12626}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Comparative Genomics"],"domains":["Pathogen","Genome"],"taxonomies":["Campylobacter","Chlamydiaceae","Haemophilus","Listeria","Mycoplasma","Neisseria","Staphylococcus","Streptococcus","Treponema","Ureaplasma","Vibrio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1483,"pubmed_id":17145713,"title":"The National Microbial Pathogen Database Resource (NMPDR): a genomics platform based on subsystem annotation.","year":2006,"url":"http://doi.org/10.1093/nar/gkl947","authors":"McNeil LK., Reich C., Aziz RK., Bartels D., Cohoon M., Disz T., Edwards RA., Gerdes S., Hwang K., Kubal M., Margaryan GR., Meyer F., Mihalo W., Olsen GJ., Olson R., Osterman A., Paarmann D., Paczian T., Parrello B., Pusch GD., Rodionov DA., Shi X., Vassieva O., Vonstein V., Zagnitko O., Xia F., Zinner J., Overbeek R., Stevens R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl947","created_at":"2021-09-30T08:25:06.026Z","updated_at":"2021-09-30T08:25:06.026Z"}],"licence_links":[],"grants":[{"id":741,"fairsharing_record_id":1779,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:42.271Z","updated_at":"2021-09-30T09:31:33.826Z","grant_id":1226,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"HHSN266200400042C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":742,"fairsharing_record_id":1779,"organisation_id":251,"relation":"maintains","created_at":"2021-09-30T09:24:42.309Z","updated_at":"2021-09-30T09:24:42.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":251,"name":"Bioinformatics Resource Center, University of Wisconsin Biotechnology Center, Madison, WI, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1780","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-28T18:15:12.515Z","metadata":{"doi":"10.25504/FAIRsharing.n2xy00","name":"siRecords","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"siRecords@biolead.org"}],"homepage":"http://c1.accurascience.com/siRecords/","citations":[],"identifier":1780,"description":"siRecords is a collection of a diverse range of mammalian RNAi experiments . After choosing a gene, researchers can find all siRNA records targeting the gene, design a new siRNA targeting it, or submit siRNAs that have been tested. The resource also helps experimental RNAi researchers by providing them with the efficacy and other information about the siRNAs experiments designed and conducted previously against the genes of their interest. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"siRecords","data_curation":{},"year_creation":2004,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2022-12-28","deprecation_reason":"This resource is no longer active.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000239","bsg-d000239"],"name":"FAIRsharing record for: siRecords","abbreviation":"siRecords","url":"https://fairsharing.org/10.25504/FAIRsharing.n2xy00","doi":"10.25504/FAIRsharing.n2xy00","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: siRecords is a collection of a diverse range of mammalian RNAi experiments . After choosing a gene, researchers can find all siRNA records targeting the gene, design a new siRNA targeting it, or submit siRNAs that have been tested. The resource also helps experimental RNAi researchers by providing them with the efficacy and other information about the siRNAs experiments designed and conducted previously against the genes of their interest. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Ribonucleic acid","Small interfering RNA","Gene"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":320,"pubmed_id":18996894,"title":"siRecords: a database of mammalian RNAi experiments and efficacies.","year":2008,"url":"http://doi.org/10.1093/nar/gkn817","authors":"Ren Y., Gong W., Zhou H., Wang Y., Xiao F., Li T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn817","created_at":"2021-09-30T08:22:54.374Z","updated_at":"2021-09-30T08:22:54.374Z"}],"licence_links":[],"grants":[{"id":744,"fairsharing_record_id":1780,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:24:42.389Z","updated_at":"2021-09-30T09:24:42.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":745,"fairsharing_record_id":1780,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:24:42.426Z","updated_at":"2021-09-30T09:30:52.752Z","grant_id":915,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"4R33CA126209","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8167,"fairsharing_record_id":1780,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:31:18.021Z","updated_at":"2021-09-30T09:31:18.075Z","grant_id":1108,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"1R21CA126209","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1781","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T13:22:37.526Z","metadata":{"doi":"10.25504/FAIRsharing.zjcys8","name":"Structure, Interfaces and Alignments for Protein-Protein Interactions Database","status":"deprecated","contacts":[{"contact_email":"emily@compbio.dundee.ac.uk"}],"homepage":"http://www.compbio.dundee.ac.uk/SNAPPI/index.jsp","citations":[],"identifier":1781,"description":"SNAPPI-DB is an object-oriented database of domain-domain interactions observed in structural data. The structural data is obtained from the MSD data warehouse as the MSD provides consistent data with links to many types of data about proteins and nucleic acids.","abbreviation":"SNAPPI-DB","data_curation":{"url":"http://www.compbio.dundee.ac.uk/SNAPPI/snappidb.jsp","type":"automated"},"support_links":[{"url":"http://www.compbio.dundee.ac.uk/SNAPPI/SNAPPI-DBPackage/ProgramManual/Manual.pdf","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2024-04-17","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"url":"http://www.compbio.dundee.ac.uk/SNAPPI/downloads.jsp","type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000240","bsg-d000240"],"name":"FAIRsharing record for: Structure, Interfaces and Alignments for Protein-Protein Interactions Database","abbreviation":"SNAPPI-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.zjcys8","doi":"10.25504/FAIRsharing.zjcys8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SNAPPI-DB is an object-oriented database of domain-domain interactions observed in structural data. The structural data is obtained from the MSD data warehouse as the MSD provides consistent data with links to many types of data about proteins and nucleic acids.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein interaction","Molecular interaction","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":305,"pubmed_id":17202171,"title":"SNAPPI-DB: a database and API of Structures, iNterfaces and Alignments for Protein-Protein Interactions.","year":2007,"url":"http://doi.org/10.1093/nar/gkl836","authors":"Jefferson ER., Walsh TP., Roberts TJ., Barton GJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl836","created_at":"2021-09-30T08:22:52.841Z","updated_at":"2021-09-30T08:22:52.841Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":213,"relation":"undefined"}],"grants":[{"id":746,"fairsharing_record_id":1781,"organisation_id":3049,"relation":"maintains","created_at":"2021-09-30T09:24:42.472Z","updated_at":"2021-09-30T09:24:42.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":747,"fairsharing_record_id":1781,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:42.509Z","updated_at":"2021-09-30T09:24:42.509Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1792","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:01:39.521Z","metadata":{"doi":"10.25504/FAIRsharing.pxm2h8","name":"MutDB","status":"deprecated","contacts":[{"contact_name":"SD Mooney","contact_email":"smooney@buckinstitute.org"}],"homepage":"http://mutdb.org/","identifier":1792,"description":"The goal of MutDB is to annotate human variation data with protein structural information and other functionally relevant information, if available. The mutations are organized by gene. Click on the alphabet below to go alphabetically through the list of genes. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"MutDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://mutdb.org/snp/help.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000252","bsg-d000252"],"name":"FAIRsharing record for: MutDB","abbreviation":"MutDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pxm2h8","doi":"10.25504/FAIRsharing.pxm2h8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of MutDB is to annotate human variation data with protein structural information and other functionally relevant information, if available. The mutations are organized by gene. Click on the alphabet below to go alphabetically through the list of genes. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Expression data","Mutation analysis","Structure","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":315,"pubmed_id":15980479,"title":"MutDB services: interactive structural analysis of mutation data.","year":2005,"url":"http://doi.org/10.1093/nar/gki404","authors":"Dantzer J., Moad C., Heiland R., Mooney S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki404","created_at":"2021-09-30T08:22:53.792Z","updated_at":"2021-09-30T08:22:53.792Z"},{"id":2411,"pubmed_id":17827212,"title":"MutDB: update on development of tools for the biochemical analysis of genetic variation.","year":2007,"url":"http://doi.org/10.1093/nar/gkm659","authors":"Singh A,Olowoyeye A,Baenziger PH,Dantzer J,Kann MG,Radivojac P,Heiland R,Mooney SD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm659","created_at":"2021-09-30T08:26:55.891Z","updated_at":"2021-09-30T11:29:35.262Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":968,"relation":"undefined"}],"grants":[{"id":783,"fairsharing_record_id":1792,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:43.903Z","updated_at":"2021-09-30T09:30:30.197Z","grant_id":738,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"K22LM009135","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":781,"fairsharing_record_id":1792,"organisation_id":1327,"relation":"funds","created_at":"2021-09-30T09:24:43.836Z","updated_at":"2021-09-30T09:24:43.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":782,"fairsharing_record_id":1792,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:24:43.869Z","updated_at":"2021-09-30T09:24:43.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":784,"fairsharing_record_id":1792,"organisation_id":329,"relation":"maintains","created_at":"2021-09-30T09:24:43.948Z","updated_at":"2021-09-30T09:24:43.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":329,"name":"Buck Institute for Research on Aging, Novato, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1793","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:44.862Z","metadata":{"doi":"10.25504/FAIRsharing.8zf3ny","name":"Universal PBM Resource for Oligonucleotide Binding Evaluation","status":"ready","contacts":[{"contact_name":"Maxwell Hume","contact_email":"uniprobe@genetics.med.harvard.edu","contact_orcid":"0000-0003-2877-8079"}],"homepage":"http://thebrain.bwh.harvard.edu/uniprobe/","citations":[],"identifier":1793,"description":"The UniPROBE (Universal PBM Resource for Oligonucleotide Binding Evaluation) database hosts data generated by universal protein binding microarray (PBM) technology on the in vitro DNA binding specificities of proteins.","abbreviation":"UniPROBE","data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010557","name":"re3data:r3d100010557","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005803","name":"SciCrunch:RRID:SCR_005803","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://thebrain.bwh.harvard.edu/pbms/UniPROBE_staging/admin.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000253","bsg-d000253"],"name":"FAIRsharing record for: Universal PBM Resource for Oligonucleotide Binding Evaluation","abbreviation":"UniPROBE","url":"https://fairsharing.org/10.25504/FAIRsharing.8zf3ny","doi":"10.25504/FAIRsharing.8zf3ny","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniPROBE (Universal PBM Resource for Oligonucleotide Binding Evaluation) database hosts data generated by universal protein binding microarray (PBM) technology on the in vitro DNA binding specificities of proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Sequence annotation","Protein interaction","Deoxyribonucleic acid","Molecular interaction","Protein"],"taxonomies":["Ashbya gossypii","Burkholderia pseudomallei K96243","Burkholderia thailandensis E264","Caenorhabditis elegans","Cryptosporidium parvum","Drosophila melanogaster","Emericella nidulans","Homo sapiens","Kluyveromyces lactis","Monosiga brevicollis","Mus musculus","Nematostella vectensis","Patiria miniata","Plasmodium falciparum","Saccharomyces cerevisiae","Strongylocentrotus purpuratus","Trichoplax adhaerens","Tuber melanosporum","Vibrio harveyi","Zymoseptoria tritici"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":812,"pubmed_id":18842628,"title":"UniPROBE: an online database of protein binding microarray data on protein-DNA interactions.","year":2008,"url":"http://doi.org/10.1093/nar/gkn660","authors":"Newburger DE., Bulyk ML.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn660","created_at":"2021-09-30T08:23:49.589Z","updated_at":"2021-09-30T08:23:49.589Z"},{"id":862,"pubmed_id":21037262,"title":"UniPROBE, update 2011: expanded content and search tools in the online database of protein-binding microarray data on protein-DNA interactions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq992","authors":"Robasky K., Bulyk ML.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq992","created_at":"2021-09-30T08:23:55.230Z","updated_at":"2021-09-30T08:23:55.230Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":215,"relation":"undefined"}],"grants":[{"id":785,"fairsharing_record_id":1793,"organisation_id":331,"relation":"maintains","created_at":"2021-09-30T09:24:43.986Z","updated_at":"2021-09-30T09:24:43.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":331,"name":"Bulyk Laboratory, Brigham and Women's Hospital/ Harvard Medical School, Boston, MA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":786,"fairsharing_record_id":1793,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:44.023Z","updated_at":"2021-09-30T09:32:05.586Z","grant_id":1465,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 HG003985","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1794","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:00:03.216Z","metadata":{"doi":"10.25504/FAIRsharing.er98b1","name":"CutDB","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"pmap_info@burnham.org"}],"homepage":"http://cutdb.burnham.org","identifier":1794,"description":"CutDB is one of the first systematic efforts to build an easily accessible collection of documented proteolytic events for natural proteins in vivo or in vitro. A CutDB entry is defined by a unique combination of these three attributes: protease, protein substrate, and cleavage site. Currently, CutDB integrates 3,070 proteolytic events for 470 different proteases captured from public archives (such as MEROPS and HPRD) and publications.","abbreviation":"CutDB","data_curation":{"type":"not found"},"year_creation":2006,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000254","bsg-d000254"],"name":"FAIRsharing record for: CutDB","abbreviation":"CutDB","url":"https://fairsharing.org/10.25504/FAIRsharing.er98b1","doi":"10.25504/FAIRsharing.er98b1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CutDB is one of the first systematic efforts to build an easily accessible collection of documented proteolytic events for natural proteins in vivo or in vitro. A CutDB entry is defined by a unique combination of these three attributes: protease, protein substrate, and cleavage site. Currently, CutDB integrates 3,070 proteolytic events for 470 different proteases captured from public archives (such as MEROPS and HPRD) and publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Enzyme","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":867,"pubmed_id":17142225,"title":"CutDB: a proteolytic event database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl813","authors":"Igarashi Y., Eroshkin A., Gramatikova S., Gramatikoff K., Zhang Y., Smith JW., Osterman AL., Godzik A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl813","created_at":"2021-09-30T08:23:55.775Z","updated_at":"2021-09-30T08:23:55.775Z"}],"licence_links":[],"grants":[{"id":787,"fairsharing_record_id":1794,"organisation_id":2487,"relation":"maintains","created_at":"2021-09-30T09:24:44.065Z","updated_at":"2021-09-30T09:24:44.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":2487,"name":"Sanford Burnham Prebys Medical Discovery Institute (SBP), La Jolla, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":788,"fairsharing_record_id":1794,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:44.107Z","updated_at":"2021-09-30T09:30:49.015Z","grant_id":884,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5 U54 RR020843-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1770","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T09:20:35.399Z","metadata":{"doi":"10.25504/FAIRsharing.x6d6sx","name":"Bgee DataBase for Gene Expression Evolution","status":"ready","contacts":[{"contact_name":"Frederic B. Bastian","contact_email":"bgee@sib.swiss"}],"homepage":"https://www.bgee.org","citations":[],"identifier":1770,"description":"Bgee is a database for retrieval and comparison of gene expression patterns across multiple animal species. It provides an intuitive answer to the question \"where is a gene expressed?\" and supports research in cancer and agriculture as well as evolutionary biology.\nBgee data are produced from multiple data types (bulk and single-cell RNA-Seq, Affymetrix, in situ hybridization, EST data), and multiple data sets, that are all integrated consistently to provide a single answer to the question: \"where is this gene expressed?\"\nBgee is based exclusively on curated \"normal\", healthy wild-type expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of normal gene expression.\nBgee produces calls of presence/absence of expression, and of differential over-/under-expression, integrated along with information of gene orthology, and of homology between organs. This allows comparisons of expression patterns between species.","abbreviation":"Bgee","data_curation":{"url":"https://github.com/BgeeDB/expression-annotations","type":"manual"},"support_links":[{"url":"Bgee@sib.swiss","name":"General contact","type":"Support email"},{"url":"https://github.com/BgeeDB/","type":"Github"},{"url":"https://www.bgee.org/about/","type":"Help documentation"},{"url":"https://twitter.com/Bgeedb","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://www.bgee.org/analysis/top-anat","name":"TopAnat - Gene Expression Enrichment"},{"url":"https://bioconductor.org/packages/release/bioc/html/BgeeDB.html","name":"BgeeDB Bioconductor 3.8"},{"url":"http://bioconductor.org/packages/release/bioc/html/BgeeCall.html","name":"BgeeCall"},{"url":"https://www.bgee.org/analysis/expr-comparison","name":"Expression comparison"}],"data_access_condition":{"url":"https://www.bgee.org/download/data-dumps","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000228","bsg-d000228"],"name":"FAIRsharing record for: Bgee DataBase for Gene Expression Evolution","abbreviation":"Bgee","url":"https://fairsharing.org/10.25504/FAIRsharing.x6d6sx","doi":"10.25504/FAIRsharing.x6d6sx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bgee is a database for retrieval and comparison of gene expression patterns across multiple animal species. It provides an intuitive answer to the question \"where is a gene expressed?\" and supports research in cancer and agriculture as well as evolutionary biology.\nBgee data are produced from multiple data types (bulk and single-cell RNA-Seq, Affymetrix, in situ hybridization, EST data), and multiple data sets, that are all integrated consistently to provide a single answer to the question: \"where is this gene expressed?\"\nBgee is based exclusively on curated \"normal\", healthy wild-type expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of normal gene expression.\nBgee produces calls of presence/absence of expression, and of differential over-/under-expression, integrated along with information of gene orthology, and of homology between organs. This allows comparisons of expression patterns between species.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18167},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11330},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12160},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19502}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Transcriptomics","Phenomics"],"domains":["Expression data","RNA sequence","Annotation","Analysis","Differential gene expression analysis","Gene expression","RNA sequencing","In situ hybridization","Homologous","Orthologous","Biocuration"],"taxonomies":["Anolis carolinensis","Bos taurus","Branchiostoma lanceolatum","Caenorhabditis elegans","Canis lupus","Cavia porcellus","Danio rerio","Drosophila ananassae","Drosophila melanogaster","Drosophila mojavensis","Drosophila pseudoobscura","Drosophila simulans","Drosophila virilis","Drosophila yakuba","Equus caballus","Erinaceus europaeus","Eumetazoa","Felis catus","Gallus gallus","Gorilla gorilla gorilla","Homo sapiens","Lepisosteus oculatus","Macaca mulatta","Metazoa","Monodelphis domestica","Mus musculus","Ornithorhynchus anatinus","Oryctolagus cuniculus","Pan paniscus","Pan troglodytes","Rattus norvegicus","Sus scrofa","Teleostei","Xenopus tropicalis"],"user_defined_tags":["Single cell gene expression","single cell rna-seq"],"countries":["Switzerland"],"publications":[{"id":23,"pubmed_id":30467516,"title":"BgeeDB, an R package for retrieval of curated expression datasets and for gene list expression localization enrichment tests.","year":2016,"url":"http://doi.org/10.12688/f1000research.9973.2","authors":"Komljenovic A,Roux J,Wollbrett J,Robinson-Rechavi M,Bastian FB","journal":"F1000Res","doi":"10.12688/f1000research.9973.2","created_at":"2021-09-30T08:22:22.838Z","updated_at":"2021-09-30T08:22:22.838Z"},{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":1340,"pubmed_id":23487185,"title":"Uncovering hidden duplicated content in public transcriptomics data.","year":2013,"url":"http://doi.org/10.1093/database/bat010","authors":"Rosikiewicz M., Comte A., Niknejad A., Robinson-Rechavi M., Bastian FB.,","journal":"Database (Oxford)","doi":"10.1093/database/bat010","created_at":"2021-09-30T08:24:49.951Z","updated_at":"2021-09-30T08:24:49.951Z"},{"id":2462,"pubmed_id":22285560,"title":"vHOG, a multispecies vertebrate ontology of homologous organs groups.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts048","authors":"Niknejad A,Comte A,Parmentier G,Roux J,Bastian FB,Robinson-Rechavi M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts048","created_at":"2021-09-30T08:27:01.961Z","updated_at":"2021-09-30T08:27:01.961Z"},{"id":2498,"pubmed_id":null,"title":"Bgee: Integrating and Comparing Heterogeneous Transcriptome Data Among Species","year":2008,"url":"http://doi.org/10.1007/978-3-540-69828-9_12","authors":"Frederic Bastian, Gilles Parmentier, Julien Roux, Sebastien Moretti, Vincent Laudet, Marc Robinson-Rechavi","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-540-69828-9_12","created_at":"2021-09-30T08:27:06.283Z","updated_at":"2021-09-30T08:27:06.283Z"},{"id":3924,"pubmed_id":null,"title":"The Bgee suite: integrated curated expression atlas and comparative transcriptomics in animals","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa793","authors":"Bastian, Frederic B; Roux, Julien; Niknejad, Anne; Comte, Aurélie; Fonseca Costa, Sara S; de Farias, Tarcisio Mendes; Moretti, Sébastien; Parmentier, Gilles; de Laval, Valentine Rech; Rosikiewicz, Marta; Wollbrett, Julien; Echchiki, Amina; Escoriza, Angélique; Gharib, Walid H; Gonzales-Porta, Mar; Jarosz, Yohan; Laurenczy, Balazs; Moret, Philippe; Person, Emilie; Roelli, Patrick; Sanjeev, Komal; Seppey, Mathieu; Robinson-Rechavi, Marc; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa793","created_at":"2023-06-20T14:07:50.003Z","updated_at":"2023-06-20T14:07:50.003Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2097,"relation":"undefined"}],"grants":[{"id":715,"fairsharing_record_id":1770,"organisation_id":3075,"relation":"maintains","created_at":"2021-09-30T09:24:41.404Z","updated_at":"2021-09-30T09:24:41.404Z","grant_id":null,"is_lead":false,"saved_state":{"id":3075,"name":"University of Lausanne, department of Ecology and Evolution, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":720,"fairsharing_record_id":1770,"organisation_id":881,"relation":"funds","created_at":"2021-09-30T09:24:41.592Z","updated_at":"2021-09-30T09:24:41.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":881,"name":"Etat de Vaud, Lausanne, Switzerland","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7945,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:59.933Z","updated_at":"2021-09-30T09:29:59.985Z","grant_id":506,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062542","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8069,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:45.453Z","updated_at":"2021-09-30T09:30:45.539Z","grant_id":855,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1062404","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":714,"fairsharing_record_id":1770,"organisation_id":209,"relation":"maintains","created_at":"2021-09-30T09:24:41.362Z","updated_at":"2021-09-30T09:24:41.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":209,"name":"BGEE administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":716,"fairsharing_record_id":1770,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:41.445Z","updated_at":"2021-09-30T09:24:41.445Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":718,"fairsharing_record_id":1770,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:24:41.521Z","updated_at":"2021-09-30T09:24:41.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":713,"fairsharing_record_id":1770,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:24:41.332Z","updated_at":"2021-09-30T09:29:01.184Z","grant_id":57,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31003A_153341","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":717,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:41.484Z","updated_at":"2021-09-30T09:29:46.854Z","grant_id":399,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0641025","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":719,"fairsharing_record_id":1770,"organisation_id":2809,"relation":"funds","created_at":"2021-09-30T09:24:41.559Z","updated_at":"2021-09-30T09:32:04.507Z","grant_id":1456,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","grant":"EF-0905606","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7922,"fairsharing_record_id":1770,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:29:48.418Z","updated_at":"2021-09-30T09:29:48.508Z","grant_id":413,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31003A 133011/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8280,"fairsharing_record_id":1770,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:53.774Z","updated_at":"2021-09-30T09:31:53.843Z","grant_id":1376,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI -1062350","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8407,"fairsharing_record_id":1770,"organisation_id":2809,"relation":"funds","created_at":"2021-09-30T09:32:30.768Z","updated_at":"2021-09-30T09:32:30.817Z","grant_id":1654,"is_lead":false,"saved_state":{"id":2809,"name":"The National Evolutionary Synthesis Center (NESCent), USA","grant":"EF-0423641","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcmtDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--307bcdde0140df25857b2997a06b67cb561c9695/bgee_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1771","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:45:12.225Z","metadata":{"doi":"10.25504/FAIRsharing.3rnawd","name":"Signal Transduction Classification Database","status":"deprecated","contacts":[{"contact_email":"mchen@techfak.uni-bielefeld.de"}],"homepage":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/","citations":[],"identifier":1771,"description":"The signal molecules and pathways are classified and illustrated by graphs in this database.","abbreviation":"STCDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/introduction.html","type":"Help documentation"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/application.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/submit.html","name":"submit"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/search.html","name":"search"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/classification.html","name":"browse"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/submit.html","name":"submit"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/search.html","name":"search"},{"url":"http://bibiserv.techfak.uni-bielefeld.de/stcdb/classification.html","name":"browse"}],"deprecation_date":"2021-9-19","deprecation_reason":"This resource contains an organised set of web pages on signal transduction classification, but is not a database according to our definitions, therefore this record has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000229","bsg-d000229"],"name":"FAIRsharing record for: Signal Transduction Classification Database","abbreviation":"STCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3rnawd","doi":"10.25504/FAIRsharing.3rnawd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The signal molecules and pathways are classified and illustrated by graphs in this database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Small molecule","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":272,"pubmed_id":14681456,"title":"STCDB: Signal Transduction Classification Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh079","authors":"Chen M., Lin S., Hofestaedt R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh079","created_at":"2021-09-30T08:22:49.416Z","updated_at":"2021-09-30T08:22:49.416Z"}],"licence_links":[],"grants":[{"id":721,"fairsharing_record_id":1771,"organisation_id":213,"relation":"maintains","created_at":"2021-09-30T09:24:41.629Z","updated_at":"2021-09-30T09:24:41.629Z","grant_id":null,"is_lead":false,"saved_state":{"id":213,"name":"Bielefeld University, Bielefeld, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1766","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:57:35.375Z","metadata":{"doi":"10.25504/FAIRsharing.snnfj7","name":"Pig Genomic Informatics System","status":"deprecated","contacts":[{"contact_name":"Jun Wang","contact_email":"wangj@genomics.org.cn"}],"homepage":"http://pig.genomics.org.cn/","identifier":1766,"description":"The Pig Genomic Informatics System (PigGIS) presents accurate pig gene annotations in all sequenced genomic regions. It integrates various available pig sequence data, including 3.84 million whole-genome-shortgun (WGS) reads and 0.7 million Expressed Sequence Tags (ESTs) generated by Sino-Danish Pig Genome Project, and 1 million miscellaneous GenBank records.","abbreviation":"PigGIS","data_curation":{"type":"not found"},"support_links":[{"url":"piggis@genomics.org.cn","type":"Support email"},{"url":"http://pig.genomics.org.cn/faq.jsp","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://pig.genomics.org.cn/blast.jsp","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000224","bsg-d000224"],"name":"FAIRsharing record for: Pig Genomic Informatics System","abbreviation":"PigGIS","url":"https://fairsharing.org/10.25504/FAIRsharing.snnfj7","doi":"10.25504/FAIRsharing.snnfj7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pig Genomic Informatics System (PigGIS) presents accurate pig gene annotations in all sequenced genomic regions. It integrates various available pig sequence data, including 3.84 million whole-genome-shortgun (WGS) reads and 0.7 million Expressed Sequence Tags (ESTs) generated by Sino-Danish Pig Genome Project, and 1 million miscellaneous GenBank records.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Ribonucleic acid","Structure","Gene","Genome"],"taxonomies":["Sus scrofa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":285,"pubmed_id":17090590,"title":"PigGIS: Pig Genomic Informatics System.","year":2006,"url":"http://doi.org/10.1093/nar/gkl808","authors":"Ruan J., Guo Y., Li H., Hu Y., Song F., Huang X., Kristiensen K., Bolund L., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl808","created_at":"2021-09-30T08:22:50.724Z","updated_at":"2021-09-30T08:22:50.724Z"}],"licence_links":[],"grants":[{"id":703,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:41.020Z","updated_at":"2021-09-30T09:29:21.276Z","grant_id":209,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90208019","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":701,"fairsharing_record_id":1766,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:40.945Z","updated_at":"2021-09-30T09:29:38.705Z","grant_id":340,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"GJHZ0518","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":700,"fairsharing_record_id":1766,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:40.904Z","updated_at":"2021-09-30T09:29:25.501Z","grant_id":243,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"CNGI-04-15-7A","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8085,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:50.596Z","updated_at":"2021-09-30T09:30:50.647Z","grant_id":897,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90403130","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8251,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:44.891Z","updated_at":"2021-09-30T09:31:44.945Z","grant_id":1309,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30221004","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":702,"fairsharing_record_id":1766,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:40.983Z","updated_at":"2021-09-30T09:24:40.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":704,"fairsharing_record_id":1766,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:41.062Z","updated_at":"2021-09-30T09:31:29.731Z","grant_id":1196,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","grant":"XXBKYHT2006001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7959,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:04.668Z","updated_at":"2021-09-30T09:30:04.715Z","grant_id":540,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90608010","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8362,"fairsharing_record_id":1766,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:15.091Z","updated_at":"2021-09-30T09:32:15.146Z","grant_id":1533,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90612019","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1767","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:56.863Z","metadata":{"doi":"10.25504/FAIRsharing.6cnw23","name":"YanHuang - YH1 Genome Database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"yhdb@genomics.org.cn"}],"homepage":"http://yh.genomics.org.cn","identifier":1767,"description":"The YH database presents the entire DNA sequence of a Han Chinese individual, as a representative of Asian population. This genome, named as YH, is the start of YanHuang Project, which aims to sequence 100 Chinese individuals in 3 years.assembled based on 3.3 billion reads (117.7Gbp raw data) generated by Illumina Genome Analyzer. In total of 102.9Gbp nucleotides were mapped onto the NCBI human reference genome (Build 36) by self-developed software SOAP (Short Oligonucleotide Alignment Program), and 3.07 million SNPs were identified.","abbreviation":"YH1","data_curation":{"type":"not found"},"support_links":[{"url":"http://yh.genomics.org.cn/help.jsp","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://yh.genomics.org.cn/search.jsp","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000225","bsg-d000225"],"name":"FAIRsharing record for: YanHuang - YH1 Genome Database","abbreviation":"YH1","url":"https://fairsharing.org/10.25504/FAIRsharing.6cnw23","doi":"10.25504/FAIRsharing.6cnw23","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The YH database presents the entire DNA sequence of a Han Chinese individual, as a representative of Asian population. This genome, named as YH, is the start of YanHuang Project, which aims to sequence 100 Chinese individuals in 3 years.assembled based on 3.3 billion reads (117.7Gbp raw data) generated by Illumina Genome Analyzer. In total of 102.9Gbp nucleotides were mapped onto the NCBI human reference genome (Build 36) by self-developed software SOAP (Short Oligonucleotide Alignment Program), and 3.07 million SNPs were identified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":288,"pubmed_id":19073702,"title":"The YH database: the first Asian diploid genome database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn966","authors":"Li G., Ma L., Song C., Yang Z., Wang X., Huang H., Li Y., Li R., Zhang X., Yang H., Wang J., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn966","created_at":"2021-09-30T08:22:51.032Z","updated_at":"2021-09-30T08:22:51.032Z"}],"licence_links":[],"grants":[{"id":708,"fairsharing_record_id":1767,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:41.197Z","updated_at":"2021-09-30T09:32:15.164Z","grant_id":1533,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90612019","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":707,"fairsharing_record_id":1767,"organisation_id":189,"relation":"maintains","created_at":"2021-09-30T09:24:41.174Z","updated_at":"2021-09-30T09:24:41.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":189,"name":"Beijing Genomics Institute (BGI), China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":706,"fairsharing_record_id":1767,"organisation_id":192,"relation":"funds","created_at":"2021-09-30T09:24:41.141Z","updated_at":"2021-09-30T09:29:59.843Z","grant_id":505,"is_lead":false,"saved_state":{"id":192,"name":"Beijing Municipal Science \u0026 Technology Commission, (BMSTC), China","grant":"D07030200740000","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":705,"fairsharing_record_id":1767,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:41.104Z","updated_at":"2021-09-30T09:31:09.175Z","grant_id":1042,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2007CB815705","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":709,"fairsharing_record_id":1767,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:41.222Z","updated_at":"2021-09-30T09:31:29.748Z","grant_id":1196,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","grant":"XXBKYHT2006001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1768","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:54:40.697Z","metadata":{"doi":"10.25504/FAIRsharing.kap6gp","name":"Berkeley Drosophila Genome Project EST database","status":"ready","contacts":[{"contact_name":"Susan Celniker","contact_email":"celniker@fruitfly.org"}],"homepage":"http://www.fruitfly.org/EST/index.shtml","identifier":1768,"description":"The goals of the Drosophila Genome Center are to finish the sequence of the euchromatic genome of Drosophila melanogaster to high quality and to generate and maintain biological annotations of this sequence.","abbreviation":"BDGP","data_curation":{"type":"none"},"support_links":[{"url":"bdgp@fruitfly.org","type":"Support email"},{"url":"http://www.fruitfly.org/EST/faq.html","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010624","name":"re3data:r3d100010624","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013094","name":"SciCrunch:RRID:SCR_013094","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000226","bsg-d000226"],"name":"FAIRsharing record for: Berkeley Drosophila Genome Project EST database","abbreviation":"BDGP","url":"https://fairsharing.org/10.25504/FAIRsharing.kap6gp","doi":"10.25504/FAIRsharing.kap6gp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goals of the Drosophila Genome Center are to finish the sequence of the euchromatic genome of Drosophila melanogaster to high quality and to generate and maintain biological annotations of this sequence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Sequence annotation","Genome"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":710,"fairsharing_record_id":1768,"organisation_id":203,"relation":"maintains","created_at":"2021-09-30T09:24:41.248Z","updated_at":"2021-09-30T09:24:41.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":203,"name":"Berkeley Drosophila Genome Project, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1769","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.881Z","metadata":{"doi":"10.25504/FAIRsharing.c34wtj","name":"Endocrine Pancreas Consortium Database","status":"deprecated","contacts":[{"contact_name":"Joan Mazzarelli","contact_email":"mazz@pcbi.uprnn.edu"}],"homepage":"http://www.cbil.upenn.edu/EPConDB","identifier":1769,"description":"EPConDB is a resource of the Beta Cell Biology Consortium which displays information about genes expressed in cells of the pancreas and their transcriptional regulation.","abbreviation":"EPConDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.betacell.org/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.betacell.org/content/tutorial/","type":"Training documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000227","bsg-d000227"],"name":"FAIRsharing record for: Endocrine Pancreas Consortium Database","abbreviation":"EPConDB","url":"https://fairsharing.org/10.25504/FAIRsharing.c34wtj","doi":"10.25504/FAIRsharing.c34wtj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EPConDB is a resource of the Beta Cell Biology Consortium which displays information about genes expressed in cells of the pancreas and their transcriptional regulation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Biological regulation","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":292,"pubmed_id":17071715,"title":"EPConDB: a web resource for gene expression related to pancreatic development, beta-cell function and diabetes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl748","authors":"Mazzarelli JM., Brestelli J., Gorski RK., Liu J., Manduchi E., Pinney DF., Schug J., White P., Kaestner KH., Stoeckert CJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl748","created_at":"2021-09-30T08:22:51.432Z","updated_at":"2021-09-30T08:22:51.432Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":190,"relation":"undefined"}],"grants":[{"id":711,"fairsharing_record_id":1769,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:24:41.273Z","updated_at":"2021-09-30T09:24:41.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":712,"fairsharing_record_id":1769,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:41.303Z","updated_at":"2021-09-30T09:32:19.770Z","grant_id":1569,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"UO1 56947","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1789","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:56.407Z","metadata":{"doi":"10.25504/FAIRsharing.etp533","name":"BRENDA Enzyme Database","status":"ready","contacts":[{"contact_name":"BRENDA Support","contact_email":"contact@brenda-enzymes.org","contact_orcid":null}],"homepage":"https://www.brenda-enzymes.org/","citations":[],"identifier":1789,"description":"BRENDA is the main collection of enzyme functional data available to the scientific community.","abbreviation":"BRENDA","data_curation":{"url":"https://www.brenda-enzymes.org/introduction.php","type":"manual/automated","notes":"Data on enzyme function are extracted directly from the primary literature by scientists holding a degree in Biology or Chemistry. Formal and consistency checks are done by computer programs, each data set on a classified enzyme is checked manually by at least one biologist and one chemist."},"support_links":[{"url":"http://brenda-enzymes.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://brenda-enzymes.org/help.php","type":"Help documentation"},{"url":"http://brenda-enzymes.org/tutorial.php","type":"Help documentation"}],"year_creation":1987,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010616","name":"re3data:r3d100010616","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002997","name":"SciCrunch:RRID:SCR_002997","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.brenda-enzymes.org/introduction.php","type":"open","notes":"Use of this online version of BRENDA is free under the CC BY 4.0 license."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000249","bsg-d000249"],"name":"FAIRsharing record for: BRENDA Enzyme Database","abbreviation":"BRENDA","url":"https://fairsharing.org/10.25504/FAIRsharing.etp533","doi":"10.25504/FAIRsharing.etp533","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BRENDA is the main collection of enzyme functional data available to the scientific community.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11331},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11833},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16212}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Ligand","Enzyme","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":574,"pubmed_id":11796225,"title":"BRENDA: a resource for enzyme data and metabolic information.","year":2002,"url":"http://doi.org/10.1016/s0968-0004(01)02027-8","authors":"Schomburg I,Chang A,Hofmann O,Ebeling C,Ehrentreich F,Schomburg D","journal":"Trends Biochem Sci","doi":"10.1016/S0968-0004(01)02027-8","created_at":"2021-09-30T08:23:22.777Z","updated_at":"2021-09-30T08:23:22.777Z"},{"id":590,"pubmed_id":11752250,"title":"BRENDA, enzyme data and metabolic information.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.47","authors":"Schomburg I,Chang A,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.47","created_at":"2021-09-30T08:23:24.693Z","updated_at":"2021-09-30T11:28:47.634Z"},{"id":1358,"pubmed_id":14681450,"title":"BRENDA, the enzyme database: updates and major new developments.","year":2003,"url":"http://doi.org/10.1093/nar/gkh081","authors":"Schomburg I,Chang A,Ebeling C,Gremse M,Heldt C,Huhn G,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh081","created_at":"2021-09-30T08:24:51.872Z","updated_at":"2021-09-30T11:29:06.777Z"},{"id":1564,"pubmed_id":12850129,"title":"Review of the BRENDA Database.","year":2003,"url":"http://doi.org/10.1016/s1096-7176(03)00008-9","authors":"Pharkya P,Nikolaev EV,Maranas CD","journal":"Metab Eng","doi":"10.1016/S1096-7176(03)00008-9","created_at":"2021-09-30T08:25:15.385Z","updated_at":"2021-09-30T08:25:15.385Z"},{"id":1590,"pubmed_id":25378310,"title":"BRENDA in 2015: exciting developments in its 25th year of existence.","year":2014,"url":"http://doi.org/10.1093/nar/gku1068","authors":"Chang A,Schomburg I,Placzek S,Jeske L,Ulbrich M,Xiao M,Sensen CW,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1068","created_at":"2021-09-30T08:25:18.284Z","updated_at":"2021-09-30T11:29:14.902Z"},{"id":1591,"pubmed_id":17202167,"title":"BRENDA, AMENDA and FRENDA: the enzyme information system in 2007.","year":2007,"url":"http://doi.org/10.1093/nar/gkl972","authors":"Barthelmes J,Ebeling C,Chang A,Schomburg I,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl972","created_at":"2021-09-30T08:25:18.383Z","updated_at":"2021-09-30T11:29:15.044Z"},{"id":2259,"pubmed_id":18984617,"title":"BRENDA, AMENDA and FRENDA the enzyme information system: new content and tools in 2009.","year":2008,"url":"http://doi.org/10.1093/nar/gkn820","authors":"Chang A., Scheer M., Grote A., Schomburg I., Schomburg D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn820","created_at":"2021-09-30T08:26:34.757Z","updated_at":"2021-09-30T08:26:34.757Z"},{"id":2406,"pubmed_id":23203881,"title":"BRENDA in 2013: integrated reactions, kinetic data, enzyme function data, improved disease classification: new options and contents in BRENDA.","year":2012,"url":"http://doi.org/10.1093/nar/gks1049","authors":"Schomburg I,Chang A,Placzek S,Sohngen C,Rother M,Lang M,Munaretto C,Ulas S,Stelzer M,Grote A,Scheer M,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1049","created_at":"2021-09-30T08:26:55.301Z","updated_at":"2021-09-30T11:29:35.078Z"},{"id":2407,"pubmed_id":21062828,"title":"BRENDA, the enzyme information system in 2011.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1089","authors":"Scheer M,Grote A,Chang A,Schomburg I,Munaretto C,Rother M,Sohngen C,Stelzer M,Thiele J,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1089","created_at":"2021-09-30T08:26:55.403Z","updated_at":"2021-09-30T11:29:35.170Z"},{"id":2408,"pubmed_id":28438579,"title":"The BRENDA enzyme information system-From a database to an expert system.","year":2017,"url":"http://doi.org/S0168-1656(17)30183-9","authors":"Schomburg I,Jeske L,Ulbrich M,Placzek S,Chang A,Schomburg D","journal":"J Biotechnol","doi":"S0168-1656(17)30183-9","created_at":"2021-09-30T08:26:55.518Z","updated_at":"2021-09-30T08:26:55.518Z"}],"licence_links":[{"licence_name":"BRENDA License","licence_id":86,"licence_url":"http://www.brenda-enzymes.org/copy.php","link_id":879,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2583,"relation":"applies_to_content"}],"grants":[{"id":768,"fairsharing_record_id":1789,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:24:43.309Z","updated_at":"2021-09-30T09:29:34.222Z","grant_id":305,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":767,"fairsharing_record_id":1789,"organisation_id":309,"relation":"maintains","created_at":"2021-09-30T09:24:43.278Z","updated_at":"2021-09-30T09:24:43.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":309,"name":"BRENDA Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":772,"fairsharing_record_id":1789,"organisation_id":1990,"relation":"funds","created_at":"2021-09-30T09:24:43.490Z","updated_at":"2021-09-30T09:29:22.943Z","grant_id":222,"is_lead":false,"saved_state":{"id":1990,"name":"National Genome Research Network (NGFN), Heidelberg, Germany","grant":"0313398B","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":769,"fairsharing_record_id":1789,"organisation_id":1871,"relation":"funds","created_at":"2021-09-30T09:24:43.333Z","updated_at":"2021-09-30T09:29:33.477Z","grant_id":299,"is_lead":false,"saved_state":{"id":1871,"name":"Ministry of Science and Culture of Lower Saxony, Hannover, Germany","grant":"74ZN1122","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9296,"fairsharing_record_id":1789,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.560Z","updated_at":"2022-04-11T12:07:28.576Z","grant_id":1013,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902 (RII3)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9354,"fairsharing_record_id":1789,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.615Z","updated_at":"2022-04-11T12:07:32.634Z","grant_id":1641,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01KX1235","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1790","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-20T15:40:05.925Z","metadata":{"doi":"10.25504/FAIRsharing.8dak0r","name":"Open Regulatory Annotation","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"oreganno@bcgsc.ca"}],"homepage":"http://www.oreganno.org/","citations":[{"doi":"10.1093/nar/gkv1203","pubmed_id":null,"publication_id":3994}],"identifier":1790,"description":"The Open REGulatory ANNOtation database (ORegAnno) is an open database for the curation of known regulatory elements from scientific literature. Annotation is collected from users worldwide for various biological assays and is automatically cross-referenced against PubMED, Entrez Gene, EnsEMBL, dbSNP, the eVOC: Cell type ontology, and the Taxonomy database.","abbreviation":"ORegAnno","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.oreganno.org/oregano/Help.jsp","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010656","name":"re3data:r3d100010656","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007835","name":"SciCrunch:RRID:SCR_007835","portal":"SciCrunch"}],"deprecation_date":"2023-09-20","deprecation_reason":"The resource homepage is no longer valid, and a new homepage cannot be found. Please let us know if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000250","bsg-d000250"],"name":"FAIRsharing record for: Open Regulatory Annotation","abbreviation":"ORegAnno","url":"https://fairsharing.org/10.25504/FAIRsharing.8dak0r","doi":"10.25504/FAIRsharing.8dak0r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open REGulatory ANNOtation database (ORegAnno) is an open database for the curation of known regulatory elements from scientific literature. Annotation is collected from users worldwide for various biological assays and is automatically cross-referenced against PubMED, Entrez Gene, EnsEMBL, dbSNP, the eVOC: Cell type ontology, and the Taxonomy database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Biological regulation","Small molecule","Protein","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":316,"pubmed_id":18006570,"title":"ORegAnno: an open-access community-driven resource for regulatory annotation.","year":2007,"url":"http://doi.org/10.1093/nar/gkm967","authors":"Griffith OL., Montgomery SB., Bernier B., Chu B., Kasaian K., Aerts S., Mahony S., Sleumer MC., Bilenky M., Haeussler M., Griffith M., Gallo SM., Giardine B., Hooghe B., Van Loo P., Blanco E., Ticoll A., Lithwick S., Portales-Casamar E., Donaldson IJ., Robertson G., Wadelius C., De Bleser P., Vlieghe D., Halfon MS., Wasserman W., Hardison R., Bergman CM., Jones SJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm967","created_at":"2021-09-30T08:22:53.899Z","updated_at":"2021-09-30T08:22:53.899Z"},{"id":317,"pubmed_id":16397004,"title":"ORegAnno: an open access database and curation system for literature-derived promoters, transcription factor binding sites and regulatory variation.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btk027","authors":"Montgomery SB., Griffith OL., Sleumer MC., Bergman CM., Bilenky M., Pleasance ED., Prychyna Y., Zhang X., Jones SJ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btk027","created_at":"2021-09-30T08:22:54.007Z","updated_at":"2021-09-30T08:22:54.007Z"},{"id":3994,"pubmed_id":null,"title":"ORegAnno 3.0: a community-driven resource for curated regulatory annotation","year":2015,"url":"http://dx.doi.org/10.1093/nar/gkv1203","authors":"Lesurf, Robert; Cotto, Kelsy C.; Wang, Grace; Griffith, Malachi; Kasaian, Katayoon; Jones, Steven J. M.; Montgomery, Stephen B.; Griffith, Obi L.; undefined, undefined; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkv1203","created_at":"2023-09-20T15:37:46.663Z","updated_at":"2023-09-20T15:37:46.663Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":273,"relation":"undefined"}],"grants":[{"id":773,"fairsharing_record_id":1790,"organisation_id":186,"relation":"funds","created_at":"2021-09-30T09:24:43.528Z","updated_at":"2021-09-30T09:24:43.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":186,"name":"BC Cancer Foundation, British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":776,"fairsharing_record_id":1790,"organisation_id":1111,"relation":"funds","created_at":"2021-09-30T09:24:43.647Z","updated_at":"2021-09-30T09:24:43.647Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":774,"fairsharing_record_id":1790,"organisation_id":1109,"relation":"funds","created_at":"2021-09-30T09:24:43.564Z","updated_at":"2021-09-30T09:24:43.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1109,"name":"Genome British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":775,"fairsharing_record_id":1790,"organisation_id":946,"relation":"funds","created_at":"2021-09-30T09:24:43.605Z","updated_at":"2021-09-30T09:24:43.605Z","grant_id":null,"is_lead":false,"saved_state":{"id":946,"name":"European Network of Excellence (ENFIN), Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":777,"fairsharing_record_id":1790,"organisation_id":185,"relation":"maintains","created_at":"2021-09-30T09:24:43.686Z","updated_at":"2021-09-30T09:24:43.686Z","grant_id":null,"is_lead":false,"saved_state":{"id":185,"name":"BC Cancer Agency, Canada","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1791","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:42:33.251Z","metadata":{"doi":"10.25504/FAIRsharing.fj1d4d","name":"Magnaporthe grisea Database","status":"deprecated","contacts":[{"contact_name":"Ralph A. Dean","contact_email":"radean2@ncsu.edu"}],"homepage":"http://www.broad.mit.edu/annotation/genome/magnaporthe_grisea/Home.html","identifier":1791,"description":"The Magnaporthe comparative genomics database provides accesses to multiple fungal genomes from the Magnaporthaceae family to facilitate the comparative analysis. The project is a partnership between the International Rice Blast Genome Consortium, and the Broad Institute. The project is facilitated by an Advisory Board made up of members of the rice blast research community.","abbreviation":"MGG","data_curation":{"type":"not found"},"support_links":[{"url":"annotation-webmaster@broadinstitute.org","type":"Support email"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Info.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/FeatureSearch.html","name":"search"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Regions.html","name":"browse"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Blast.html","name":"BLAST"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/FeatureSearch.html","name":"search"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Regions.html","name":"browse"},{"url":"http://www.broadinstitute.org/annotation/genome/magnaporthe_grisea/Blast.html","name":"BLAST"}],"deprecation_date":"2021-9-18","deprecation_reason":"This resource contains data accessible via both ftp and through GenBank and JGI (http://genome.jgi.doe.gov/programs/fungi/index.jsf), but does not host their own database, therefore this record has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000251","bsg-d000251"],"name":"FAIRsharing record for: Magnaporthe grisea Database","abbreviation":"MGG","url":"https://fairsharing.org/10.25504/FAIRsharing.fj1d4d","doi":"10.25504/FAIRsharing.fj1d4d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Magnaporthe comparative genomics database provides accesses to multiple fungal genomes from the Magnaporthaceae family to facilitate the comparative analysis. The project is a partnership between the International Rice Blast Genome Consortium, and the Broad Institute. The project is facilitated by an Advisory Board made up of members of the rice blast research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Comparative Genomics"],"domains":["Genome"],"taxonomies":["Magnaporthe grisea"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1595,"pubmed_id":26416668,"title":"Genome Sequences of Three Phytopathogenic Species of the Magnaporthaceae Family of Fungi.","year":2015,"url":"http://doi.org/10.1534/g3.115.020057","authors":"Okagaki LH,Nunes CC,Sailsbery J,Clay B,Brown D,John T,Oh Y,Young N,Fitzgerald M,Haas BJ,Zeng Q,Young S,Adiconis X,Fan L,Levin JZ,Mitchell TK,Okubara PA,Farman ML,Kohn LM,Birren B,Ma LJ,Dean RA","journal":"G3 (Bethesda)","doi":"10.1534/g3.115.020057","created_at":"2021-09-30T08:25:18.803Z","updated_at":"2021-09-30T08:25:18.803Z"},{"id":1596,"pubmed_id":15846337,"title":"The genome sequence of the rice blast fungus Magnaporthe grisea.","year":2005,"url":"http://doi.org/10.1038/nature03449","authors":"Dean RA,Talbot NJ,Ebbole DJ,Farman ML,Mitchell TK,Orbach MJ,Thon M,Kulkarni R,Xu JR,Pan H,Read ND,Lee YH,Carbone I,Brown D,Oh YY,Donofrio N,Jeong JS,Soanes DM,Djonovic S,Kolomiets E,Rehmeyer C,Li W,Harding M,Kim S,Lebrun MH,Bohnert H,Coughlan S,Butler J,Calvo S,Ma LJ,Nicol R,Purcell S,Nusbaum C,Galagan JE,Birren BW","journal":"Nature","doi":"10.1038/nature03449","created_at":"2021-09-30T08:25:18.961Z","updated_at":"2021-09-30T08:25:18.961Z"}],"licence_links":[],"grants":[{"id":778,"fairsharing_record_id":1791,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:24:43.720Z","updated_at":"2021-09-30T09:24:43.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":780,"fairsharing_record_id":1791,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:43.797Z","updated_at":"2021-09-30T09:29:17.327Z","grant_id":178,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB-0333269","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":779,"fairsharing_record_id":1791,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:43.756Z","updated_at":"2021-09-30T09:30:21.240Z","grant_id":671,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"5T32-AI052080-09","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1772","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:12.814Z","metadata":{"doi":"10.25504/FAIRsharing.3b36hk","name":"BindingDB database of measured binding affinities","status":"ready","contacts":[{"contact_name":"Michael K. Gilson","contact_email":"mgilson@health.ucsd.edu","contact_orcid":"0000-0002-3375-1738"}],"homepage":"http://www.bindingdb.org","citations":[],"identifier":1772,"description":"BindingDB enables research by making a growing collection of high-quality, quantitative, protein-ligand binding data findable and usable. Funded by NIGMS/NIH.","abbreviation":"BindingDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.bindingdb.org/bind/sendmail.jsp","type":"Contact form"},{"url":"http://www.bindingdb.org/bind/info.jsp","type":"Help documentation"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"http://www.bindingdb.org/bind/BySequence.jsp","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012074","name":"re3data:r3d100012074","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000390","name":"SciCrunch:RRID:SCR_000390","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.bindingdb.org/rwd/bind/index.jsp","type":"open","notes":"Users can inform that some relevant patents are missing so as the resource team curate them"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000230","bsg-d000230"],"name":"FAIRsharing record for: BindingDB database of measured binding affinities","abbreviation":"BindingDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3b36hk","doi":"10.25504/FAIRsharing.3b36hk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BindingDB enables research by making a growing collection of high-quality, quantitative, protein-ligand binding data findable and usable. Funded by NIGMS/NIH.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19988}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Drug Discovery","Chemistry","Life Science","Computational Chemistry","Medicinal Chemistry"],"domains":["Protein interaction","Drug binding","Drug interaction","Affinity","Protein","Binding site"],"taxonomies":["Not applicable"],"user_defined_tags":["Drug-like compound","Drug Target"],"countries":["United States"],"publications":[{"id":474,"pubmed_id":17145705,"title":"BindingDB: a web-accessible database of experimentally determined protein-ligand binding affinities.","year":2006,"url":"http://doi.org/10.1093/nar/gkl999","authors":"Liu T., Lin Y., Wen X., Jorissen RN., Gilson MK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl999","created_at":"2021-09-30T08:23:11.509Z","updated_at":"2021-09-30T08:23:11.509Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Generic (CC BY-NC-ND 2.5)","licence_id":175,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/","link_id":230,"relation":"undefined"}],"grants":[{"id":723,"fairsharing_record_id":1772,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:41.700Z","updated_at":"2021-09-30T09:30:40.442Z","grant_id":815,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"9808318","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":724,"fairsharing_record_id":1772,"organisation_id":218,"relation":"maintains","created_at":"2021-09-30T09:24:41.733Z","updated_at":"2021-09-30T09:24:41.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":218,"name":"BindingDB","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":722,"fairsharing_record_id":1772,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:41.667Z","updated_at":"2021-09-30T09:31:06.918Z","grant_id":1023,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM070064","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1773","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:32.126Z","metadata":{"doi":"10.25504/FAIRsharing.en9npn","name":"The Barcode of Life Data Systems","status":"ready","contacts":[{"contact_name":"Paul D N Hebert","contact_email":"phebert@uoguelph.ca","contact_orcid":"0000-0002-3081-6700"}],"homepage":"https://www.boldsystems.org/","citations":[],"identifier":1773,"description":"The Barcode of Life Data Systems (BOLD) is an online workbench that aids collection, management, analysis, and use of DNA barcodes. It consists of 3 components (MAS, IDS, and ECS) that each address the needs of various groups in the barcoding community.","abbreviation":"BOLD","data_curation":{"type":"automated"},"support_links":[{"url":"info@boldsystems.org","name":"Information Desk","type":"Support email"},{"url":"https://www.boldsystems.org/index.php/resources/boldfaq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.boldsystems.org/index.php/resources/handbook?chapter=1_gettingstarted.html","type":"Help documentation"},{"url":"support@boldsystems.org","name":"Help Desk","type":"Support email"},{"url":"https://www.boldsystems.org/libhtml_v3/static/BOLD4_Documentation_Draft1.pdf","name":"BOLD Print Handbook for BOLD v4","type":"Help documentation"},{"url":"https://www.boldsystems.org/index.php/Resources","name":"BOLD Print Handbook for BOLD v3","type":"Help documentation"},{"url":"https://www.boldsystems.org/index.php/NewsFeed","type":"Blog/News"}],"year_creation":2004,"data_versioning":"no","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010927","name":"re3data:r3d100010927","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004278","name":"SciCrunch:RRID:SCR_004278","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000231","bsg-d000231"],"name":"FAIRsharing record for: The Barcode of Life Data Systems","abbreviation":"BOLD","url":"https://fairsharing.org/10.25504/FAIRsharing.en9npn","doi":"10.25504/FAIRsharing.en9npn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Barcode of Life Data Systems (BOLD) is an online workbench that aids collection, management, analysis, and use of DNA barcodes. It consists of 3 components (MAS, IDS, and ECS) that each address the needs of various groups in the barcoding community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Taxonomy","Biodiversity","Life Science"],"domains":["Taxonomic classification","Nucleic acid sequence","Annotation","Sequence annotation","Deoxyribonucleic acid","Software","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":297,"pubmed_id":18784790,"title":"bold: The Barcode of Life Data System (http://www.barcodinglife.org).","year":2008,"url":"http://doi.org/10.1111/j.1471-8286.2007.01678.x","authors":"Ratnasingham S., Hebert PD.,","journal":"Mol. Ecol. Notes","doi":"10.1111/j.1471-8286.2007.01678.x","created_at":"2021-09-30T08:22:52.015Z","updated_at":"2021-09-30T08:22:52.015Z"}],"licence_links":[],"grants":[{"id":8849,"fairsharing_record_id":1773,"organisation_id":1166,"relation":"collaborates_on","created_at":"2022-02-10T13:33:11.055Z","updated_at":"2022-02-10T13:33:11.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":725,"fairsharing_record_id":1773,"organisation_id":229,"relation":"maintains","created_at":"2021-09-30T09:24:41.766Z","updated_at":"2021-09-30T09:24:41.766Z","grant_id":null,"is_lead":false,"saved_state":{"id":229,"name":"Biodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8850,"fairsharing_record_id":1773,"organisation_id":2614,"relation":"collaborates_on","created_at":"2022-02-10T13:34:06.993Z","updated_at":"2022-02-10T13:34:06.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2614,"name":"Species 2000 Secretariat, Naturalis Biodiversity Center, Leiden, The Netherlands","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":9426,"fairsharing_record_id":1773,"organisation_id":3476,"relation":"undefined","created_at":"2022-04-14T09:36:11.393Z","updated_at":"2022-04-14T09:36:11.393Z","grant_id":null,"is_lead":false,"saved_state":{"id":3476,"name":"International Barcode of Life","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":9427,"fairsharing_record_id":1773,"organisation_id":3478,"relation":"funds","created_at":"2022-04-14T09:36:11.426Z","updated_at":"2022-04-14T09:36:11.426Z","grant_id":null,"is_lead":false,"saved_state":{"id":3478,"name":"Government of Ontario","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9428,"fairsharing_record_id":1773,"organisation_id":3477,"relation":"funds","created_at":"2022-04-14T09:36:11.444Z","updated_at":"2022-04-14T09:36:11.444Z","grant_id":null,"is_lead":false,"saved_state":{"id":3477,"name":"Canada First Research Excellence Fund","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9429,"fairsharing_record_id":1773,"organisation_id":354,"relation":"funds","created_at":"2022-04-14T09:36:11.460Z","updated_at":"2022-04-14T09:36:11.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9430,"fairsharing_record_id":1773,"organisation_id":2101,"relation":"funds","created_at":"2022-04-14T09:36:11.495Z","updated_at":"2022-04-14T09:36:11.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBNZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ea993f71bac039df81cbd12bc1321624f9b791e3/BOLDlogo.png?disposition=inline","exhaustive_licences":false}},{"id":"1774","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-09T09:22:46.718Z","metadata":{"doi":"10.25504/FAIRsharing.gf8yhy","name":"Non-Ribosomal Peptides Database","status":"ready","contacts":[{"contact_name":"Norine team","contact_email":"norine@univ-lille.fr"}],"homepage":"https://norine.univ-lille.fr/norine/","citations":[],"identifier":1774,"description":"Norine is a platform that includes a database of nonribosomal peptides together with tools for their analysis.","abbreviation":"NORINE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"norine@univ-lille.fr","name":"Norine team","type":"Support email"},{"url":"https://bioinfo.cristal.univ-lille.fr/norine/help.jsp","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"url":"https://norine.univ-lille.fr/norine/terms.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://norine.univ-lille.fr/norine/my/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000232","bsg-d000232"],"name":"FAIRsharing record for: Non-Ribosomal Peptides Database","abbreviation":"NORINE","url":"https://fairsharing.org/10.25504/FAIRsharing.gf8yhy","doi":"10.25504/FAIRsharing.gf8yhy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Norine is a platform that includes a database of nonribosomal peptides together with tools for their analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1431,"pubmed_id":17913739,"title":"NORINE: a database of nonribosomal peptides.","year":2007,"url":"http://doi.org/10.1093/nar/gkm792","authors":"Caboche S., Pupin M., Leclère V., Fontaine A., Jacques P., Kucherov G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm792","created_at":"2021-09-30T08:25:00.024Z","updated_at":"2021-09-30T08:25:00.024Z"},{"id":3484,"pubmed_id":null,"title":"Norine: update of the nonribosomal peptide resource","year":2019,"url":"http://academic.oup.com/nar/article/48/D1/D465/5613672","authors":" Areski Flissi, Emma Ricart, Clémentine Campart, Mickael Chevalier, Yoann Dufresne, Juraj Michalik, Philippe Jacques, Christophe Flahaut, Frédérique Lisacek, Valérie Leclère, Maude Pupin","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1000","created_at":"2022-07-21T08:42:51.042Z","updated_at":"2022-07-21T08:42:51.042Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1470,"relation":"undefined"}],"grants":[{"id":726,"fairsharing_record_id":1774,"organisation_id":3602,"relation":"maintains","created_at":"2021-09-30T09:24:41.801Z","updated_at":"2022-07-21T08:46:28.152Z","grant_id":null,"is_lead":true,"saved_state":{"id":3602,"name":"Université de Lille","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1775","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:09:33.418Z","metadata":{"doi":"10.25504/FAIRsharing.hm0s3e","name":"Therapeutically Relevant Multiple Pathways Database","status":"deprecated","contacts":[{"contact_name":"LianYi Han","contact_email":"lyhan@cz3.nus.edu.sg"}],"homepage":"http://bidd.nus.edu.sg/group/trmp/trmp_ns.asp","identifier":1775,"description":"The Therapeutically Relevant Multiple Pathways Database is designed to provide information about such multiple pathways and related therapeutic targets described in the literatures, the targeted disease conditions, and the corresponding drugs/ligands directed at each of these targets. This resource has been marked as Uncertain because its project home can no longer be found either with a general search or on the founding group's website at http://bidd.group/group/about.htm. Please get in touch if you have any information about this resource.","abbreviation":"TRMP","data_curation":{"type":"not found"},"support_links":[{"url":"http://bidd.nus.edu.sg/group/trmp/search.asp#querylang","type":"Help documentation"},{"url":"http://bidd.nus.edu.sg/group/trmp/legend.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000233","bsg-d000233"],"name":"FAIRsharing record for: Therapeutically Relevant Multiple Pathways Database","abbreviation":"TRMP","url":"https://fairsharing.org/10.25504/FAIRsharing.hm0s3e","doi":"10.25504/FAIRsharing.hm0s3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Therapeutically Relevant Multiple Pathways Database is designed to provide information about such multiple pathways and related therapeutic targets described in the literatures, the targeted disease conditions, and the corresponding drugs/ligands directed at each of these targets. This resource has been marked as Uncertain because its project home can no longer be found either with a general search or on the founding group's website at http://bidd.group/group/about.htm. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Disease","Pathway model","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug Target"],"countries":["Singapore"],"publications":[{"id":551,"pubmed_id":15059817,"title":"TRMP: a database of therapeutically relevant multiple pathways.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth233","authors":"Zheng CJ., Zhou H., Xie B., Han LY., Yap CW., Chen YZ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth233","created_at":"2021-09-30T08:23:20.151Z","updated_at":"2021-09-30T08:23:20.151Z"}],"licence_links":[],"grants":[{"id":727,"fairsharing_record_id":1775,"organisation_id":237,"relation":"maintains","created_at":"2021-09-30T09:24:41.822Z","updated_at":"2021-09-30T09:24:41.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":237,"name":"Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1776","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-17T09:09:59.556Z","metadata":{"doi":"10.25504/FAIRsharing.8ye60e","name":"Agile Protein Interactomes Dataserver","status":"ready","contacts":[{"contact_name":"Javier De Las Rivas","contact_email":"jrivas@usal.es","contact_orcid":"0000-0002-0984-9946"},{"contact_name":"Diego Alonso López","contact_email":"diego.alonso@usal.es","contact_orcid":"0000-0003-1015-9923"}],"homepage":"http://apid.dep.usal.es/","citations":[{"doi":"10.1093/nar/gkw363","pubmed_id":27131791,"publication_id":1804}],"identifier":1776,"description":"APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier.","abbreviation":"APID Interactomes","data_curation":{"url":"http://cicblade.dep.usal.es:8080/APID/init.action#subtab2","type":"automated"},"support_links":[{"url":"http://cicblade.dep.usal.es:8080/APID/init.action#tabr4","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012339","name":"re3data:r3d100012339","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008871","name":"SciCrunch:RRID:SCR_008871","portal":"SciCrunch"},{"url":"https://bio.tools/apid","name":"Elixir bio.tools","portal":"Other"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000234","bsg-d000234"],"name":"FAIRsharing record for: Agile Protein Interactomes Dataserver","abbreviation":"APID Interactomes","url":"https://fairsharing.org/10.25504/FAIRsharing.8ye60e","doi":"10.25504/FAIRsharing.8ye60e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: APID Interactomes (Agile Protein Interactomes DataServer) provides information on the protein interactomes of numerous organisms, based on the integration of known experimentally validated protein-protein physical interactions (PPIs). The interactome data includes a report on quality levels and coverage over the proteomes for each organism included. APID integrates PPIs from primary databases of molecular interactions (BIND, BioGRID, DIP, HPRD, IntAct, MINT) and also from experimentally resolved 3D structures (PDB) where more than two distinct proteins have been identified. This collection references protein interactors, through a UniProt identifier.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein interaction","Interactome","Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1082,"pubmed_id":17644818,"title":"APID2NET: unified interactome graphic analyzer.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm373","authors":"Hernandez-Toro J,Prieto C,De las Rivas J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm373","created_at":"2021-09-30T08:24:19.889Z","updated_at":"2021-09-30T08:24:19.889Z"},{"id":1804,"pubmed_id":27131791,"title":"APID interactomes: providing proteome-based interactomes with controlled quality for multiple species and derived networks.","year":2016,"url":"https://academic.oup.com/nar/article/44/W1/W529/2499348","authors":"Alonso-Lopez D,Gutierrez MA,Lopes KP,Prieto C,Santamaria R,De Las Rivas J","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw363","created_at":"2021-09-30T08:25:42.546Z","updated_at":"2021-09-30T08:25:42.546Z"},{"id":1910,"pubmed_id":16845013,"title":"APID: Agile Protein Interaction DataAnalyzer.","year":2006,"url":"http://doi.org/10.1093/nar/gkl128","authors":"Prieto C., De Las Rivas J.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl128","created_at":"2021-09-30T08:25:54.769Z","updated_at":"2021-09-30T11:29:23.441Z"},{"id":2090,"pubmed_id":30715274,"title":"APID database: redefining protein-protein interaction experimental evidences and binary interactomes.","year":2019,"url":"https://academic.oup.com/database/article/doi/10.1093/database/baz005/5304002","authors":"Alonso-Lopez D,Campos-Laborie FJ,Gutierrez MA,Lambourne L,Calderwood MA,Vidal M,De Las Rivas J","journal":"Database (Oxford)","doi":"10.1093/database/baz005","created_at":"2021-09-30T08:26:15.566Z","updated_at":"2021-09-30T08:26:15.566Z"}],"licence_links":[],"grants":[{"id":731,"fairsharing_record_id":1776,"organisation_id":520,"relation":"maintains","created_at":"2021-09-30T09:24:41.922Z","updated_at":"2024-06-14T08:39:54.261Z","grant_id":null,"is_lead":true,"saved_state":{"id":520,"name":"CIC (Centro de Investigacion del Cancer), Cancer Research Institute of Salamanca CSIC-USAL University, Salamanca, Spain","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":729,"fairsharing_record_id":1776,"organisation_id":894,"relation":"funds","created_at":"2021-09-30T09:24:41.872Z","updated_at":"2021-09-30T09:31:53.261Z","grant_id":1372,"is_lead":false,"saved_state":{"id":894,"name":"EU Joint Programme Neurodegenerative Disease Research","grant":"AC14/00024","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":728,"fairsharing_record_id":1776,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:24:41.849Z","updated_at":"2021-09-30T09:32:30.172Z","grant_id":1649,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PI12/00624","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":730,"fairsharing_record_id":1776,"organisation_id":2416,"relation":"funds","created_at":"2021-09-30T09:24:41.899Z","updated_at":"2021-09-30T09:30:53.907Z","grant_id":924,"is_lead":false,"saved_state":{"id":2416,"name":"Junta de Castilla y León, Regional Government","grant":"BIO/SA68/13","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1625","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-14T07:44:32.062Z","metadata":{"doi":"10.25504/FAIRsharing.y3scf6","name":"Protein Families","status":"deprecated","contacts":[{"contact_name":"Alex Bateman","contact_email":"agb@ebi.ac.uk","contact_orcid":"0000-0002-6982-4660"}],"homepage":"http://pfam.xfam.org/","citations":[{"doi":"10.1093/nar/gky995","pubmed_id":30357350,"publication_id":2380}],"identifier":1625,"description":"The Pfam database is a large collection of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs). Pfam also generates higher-level groupings of related entries, known as clans. A clan is a collection of Pfam entries which are related by similarity of sequence, structure or profile-HMM.","abbreviation":"Pfam","data_curation":{},"support_links":[{"url":"http://xfam.wordpress.com/tag/pfam/","name":"Pfam Blog","type":"Blog/News"},{"url":"pfam-help@ebi.ac.uk","name":"HelpDesk","type":"Support email"},{"url":"http://pfam.xfam.org/help#tabview=tab4","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://pfam.xfam.org/help","name":"Help Pages","type":"Help documentation"},{"url":"pfamlist-subscribe@ebi.ac.uk","type":"Mailing list"},{"url":"http://pfam.xfam.org/about","name":"About","type":"Help documentation"},{"url":"http://pfam.xfam.org/about","name":"About Pfam","type":"Help documentation"},{"url":"http://xfam.wordpress.com/tag/pfam/feed/","name":"RSS Feed","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/bioinformatics-gene-protein-structure-function","name":"Bioinformatics: Gene-protein-structure-function","type":"TeSS links to training materials"},{"url":"http://pfam.xfam.org/help#tabview=tab3","name":"Online Training","type":"Training documentation"},{"url":"https://twitter.com/Xfam_EBI","name":"@Xfam_EBI","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Pfam","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1996,"data_versioning":"not found","associated_tools":[{"url":"http://hmmer.org","name":"HMMER3 v3.2.1"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012850","name":"re3data:r3d100012850","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004726","name":"SciCrunch:RRID:SCR_004726","portal":"SciCrunch"}],"deprecation_date":"2023-06-13","deprecation_reason":"The Pfam website (pfam.xfam.org) is now decomissioned. And all Pfam data is now hosted at InterPro (www.ebi.ac.uk/interpro).","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000081","bsg-d000081"],"name":"FAIRsharing record for: Protein Families","abbreviation":"Pfam","url":"https://fairsharing.org/10.25504/FAIRsharing.y3scf6","doi":"10.25504/FAIRsharing.y3scf6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pfam database is a large collection of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs). Pfam also generates higher-level groupings of related entries, known as clans. A clan is a collection of Pfam entries which are related by similarity of sequence, structure or profile-HMM.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11323},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12156},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12590}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Functional domain","Hidden Markov model","Sequence similarity","Protein domain","Multiple sequence alignment","Computational biological predictions","Function analysis","Proteome","Binding motif","Evolution","Sequence alignment","Protein","Amino acid sequence","Sequence motif","Biocuration"],"taxonomies":["All"],"user_defined_tags":["Evolutionary relationship between proteins via sequence similarity"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":664,"pubmed_id":22127870,"title":"The Pfam protein families database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1065","authors":"Punta M., Coggill PC., Eberhardt RY., Mistry J., Tate J., Boursnell C., Pang N., Forslund K., Ceric G., Clements J., Heger A., Holm L., Sonnhammer EL., Eddy SR., Bateman A., Finn RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1065","created_at":"2021-09-30T08:23:33.296Z","updated_at":"2021-09-30T08:23:33.296Z"},{"id":904,"pubmed_id":33125078,"title":"Pfam: The protein families database in 2021.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa913","authors":"Mistry J,Chuguransky S,Williams L,Qureshi M,Salazar GA,Sonnhammer ELL,Tosatto SCE,Paladin L,Raj S,Richardson LJ,Finn RD,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa913","created_at":"2021-09-30T08:23:59.836Z","updated_at":"2021-09-30T11:28:55.101Z"},{"id":911,"pubmed_id":19920124,"title":"The Pfam protein families database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp985","authors":"Finn RD., Mistry J., Tate J., Coggill P., Heger A., Pollington JE., Gavin OL., Gunasekaran P., Ceric G., Forslund K., Holm L., Sonnhammer EL., Eddy SR., Bateman A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp985","created_at":"2021-09-30T08:24:00.612Z","updated_at":"2021-09-30T08:24:00.612Z"},{"id":1073,"pubmed_id":9223186,"title":"Pfam: a comprehensive database of protein domain families based on seed alignments.","year":1997,"url":"http://doi.org/10.1002/(sici)1097-0134(199707)28:3\u003c405::aid-prot10\u003e3.0.co;2-l","authors":"Sonnhammer EL,Eddy SR,Durbin R","journal":"Proteins","doi":"10.1002/(sici)1097-0134(199707)28:3\u003c405::aid-prot10\u003e3.0.co;2-l","created_at":"2021-09-30T08:24:18.829Z","updated_at":"2021-09-30T08:24:18.829Z"},{"id":2295,"pubmed_id":26673716,"title":"The Pfam protein families database: towards a more sustainable future.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1344","authors":"Finn RD,Coggill P,Eberhardt RY,Eddy SR,Mistry J,Mitchell AL,Potter SC,Punta M,Qureshi M,Sangrador-Vegas A,Salazar GA,Tate J,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1344","created_at":"2021-09-30T08:26:40.209Z","updated_at":"2021-09-30T11:29:32.562Z"},{"id":2296,"pubmed_id":24288371,"title":"Pfam: the protein families database.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1223","authors":"Finn RD,Bateman A,Clements J,Coggill P,Eberhardt RY,Eddy SR,Heger A,Hetherington K,Holm L,Mistry J,Sonnhammer EL,Tate J,Punta M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1223","created_at":"2021-09-30T08:26:40.493Z","updated_at":"2021-09-30T11:29:32.662Z"},{"id":2327,"pubmed_id":18039703,"title":"The Pfam protein families database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm960","authors":"Finn RD,Tate J,Mistry J,Coggill PC,Sammut SJ,Hotz HR,Ceric G,Forslund K,Eddy SR,Sonnhammer EL,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm960","created_at":"2021-09-30T08:26:45.675Z","updated_at":"2021-09-30T11:29:33.119Z"},{"id":2328,"pubmed_id":16381856,"title":"Pfam: clans, web tools and services.","year":2005,"url":"http://doi.org/10.1093/nar/gkj149","authors":"Finn RD,Mistry J,Schuster-Bockler B,Griffiths-Jones S,Hollich V,Lassmann T,Moxon S,Marshall M,Khanna A,Durbin R,Eddy SR,Sonnhammer EL,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj149","created_at":"2021-09-30T08:26:45.841Z","updated_at":"2021-09-30T11:29:33.211Z"},{"id":2380,"pubmed_id":30357350,"title":"The Pfam protein families database in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky995","authors":"El-Gebali S,Mistry J,Bateman A,Eddy SR,Luciani A,Potter SC,Qureshi M,Richardson LJ,Salazar GA,Smart A,Sonnhammer ELL,Hirsh L,Paladin L,Piovesan D,Tosatto SCE,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky995","created_at":"2021-09-30T08:26:52.458Z","updated_at":"2021-09-30T11:29:34.411Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2321,"relation":"undefined"}],"grants":[{"id":260,"fairsharing_record_id":1625,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:24.155Z","updated_at":"2021-09-30T09:24:24.155Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":265,"fairsharing_record_id":1625,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:24.304Z","updated_at":"2021-09-30T09:24:24.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":264,"fairsharing_record_id":1625,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:24.273Z","updated_at":"2021-09-30T09:29:24.346Z","grant_id":234,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"108433/Z/15/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":266,"fairsharing_record_id":1625,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:24.346Z","updated_at":"2021-09-30T09:32:47.048Z","grant_id":1776,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R01-HG009116","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":268,"fairsharing_record_id":1625,"organisation_id":904,"relation":"funds","created_at":"2021-09-30T09:24:24.416Z","updated_at":"2021-09-30T09:28:53.560Z","grant_id":3,"is_lead":false,"saved_state":{"id":904,"name":"EuroKUP COST Action","grant":"BM1405 NGP-net","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7890,"fairsharing_record_id":1625,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:29:29.908Z","updated_at":"2021-09-30T09:29:29.995Z","grant_id":273,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT077044/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":258,"fairsharing_record_id":1625,"organisation_id":2645,"relation":"maintains","created_at":"2021-09-30T09:24:24.074Z","updated_at":"2021-09-30T09:24:24.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":2645,"name":"Stockholm University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":259,"fairsharing_record_id":1625,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:24.112Z","updated_at":"2021-09-30T09:24:24.112Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":261,"fairsharing_record_id":1625,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:24.192Z","updated_at":"2021-09-30T09:24:24.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":263,"fairsharing_record_id":1625,"organisation_id":727,"relation":"maintains","created_at":"2021-09-30T09:24:24.248Z","updated_at":"2021-09-30T09:24:24.248Z","grant_id":null,"is_lead":false,"saved_state":{"id":727,"name":"Department of Molecular and Cell Biology, Harvard University, Cambridge, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":267,"fairsharing_record_id":1625,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:24:24.384Z","updated_at":"2021-09-30T09:29:33.353Z","grant_id":298,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654039","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":262,"fairsharing_record_id":1625,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:24.224Z","updated_at":"2021-09-30T09:31:59.317Z","grant_id":1418,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024136/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZzhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--65b6671d262ed136262c52601f18a4e5abf2bffa/pfam_logo_large.png?disposition=inline","exhaustive_licences":false}},{"id":"1626","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:10:42.001Z","metadata":{"doi":"10.25504/FAIRsharing.bp5hpt","name":"Phenomics of yeast Mutants","status":"deprecated","contacts":[{"contact_name":"Brenda Andrews","contact_email":"brenda.andrews@utoronto.ca"}],"homepage":"http://phenom.ccbr.utoronto.ca/","citations":[],"identifier":1626,"description":"PhenoM (Phenomics of yeast Mutants) stores, retrieves, visualises and data mines the quantitative single-cell measurements extracted from micrographs of temperature-sensitive mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations.","abbreviation":"PhenoM","data_curation":{"type":"manual"},"support_links":[{"url":"http://phenom.ccbr.utoronto.ca/help.jsp","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012722","name":"re3data:r3d100012722","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006970","name":"SciCrunch:RRID:SCR_006970","portal":"SciCrunch"}],"deprecation_date":"2022-07-13","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000082","bsg-d000082"],"name":"FAIRsharing record for: Phenomics of yeast Mutants","abbreviation":"PhenoM","url":"https://fairsharing.org/10.25504/FAIRsharing.bp5hpt","doi":"10.25504/FAIRsharing.bp5hpt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhenoM (Phenomics of yeast Mutants) stores, retrieves, visualises and data mines the quantitative single-cell measurements extracted from micrographs of temperature-sensitive mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Mining","Life Science"],"domains":["Gene Ontology enrichment","Image","Mutation","Phenotype","Morphology","Gene"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":130,"pubmed_id":21441928,"title":"Systematic exploration of essential yeast gene function with temperature-sensitive mutants.","year":2011,"url":"http://doi.org/10.1038/nbt.1832","authors":"Li Z., Vizeacoumar FJ., Bahr S., Li J., Warringer J., Vizeacoumar FS., Min R., Vandersluis B., Bellay J., Devit M., Fleming JA., Stephens A., Haase J., Lin ZY., Baryshnikova A., Lu H., Yan Z., Jin K., Barker S., Datti A., Giaever G., Nislow C., Bulawa C., Myers CL., Costanzo M., Gingras AC., Zhang Z., Blomberg A., Bloom K., Andrews B., Boone C.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt.1832","created_at":"2021-09-30T08:22:34.247Z","updated_at":"2021-09-30T08:22:34.247Z"},{"id":1576,"pubmed_id":22009677,"title":"PhenoM: a database of morphological phenotypes caused by mutation of essential genes in Saccharomyces cerevisiae.","year":2011,"url":"http://doi.org/10.1093/nar/gkr827","authors":"Jin K,Li J,Vizeacoumar FS,Li Z,Min R,Zamparo L,Vizeacoumar FJ,Datti A,Andrews B,Boone C,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr827","created_at":"2021-09-30T08:25:16.676Z","updated_at":"2021-09-30T11:29:14.311Z"}],"licence_links":[],"grants":[{"id":269,"fairsharing_record_id":1626,"organisation_id":164,"relation":"maintains","created_at":"2021-09-30T09:24:24.459Z","updated_at":"2021-09-30T09:24:24.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":164,"name":"Banting and Best Department of Medical Research, The Donnelly Centre, University of Toronto, Ontario, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":271,"fairsharing_record_id":1626,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:24.555Z","updated_at":"2021-09-30T09:29:13.078Z","grant_id":143,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","grant":"MOP-97939","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":270,"fairsharing_record_id":1626,"organisation_id":2245,"relation":"funds","created_at":"2021-09-30T09:24:24.512Z","updated_at":"2021-09-30T09:29:04.217Z","grant_id":79,"is_lead":false,"saved_state":{"id":2245,"name":"Ontario Genomics, Toronto, ON, Canada","grant":"2004-OGI-3-01","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1628","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:23.635Z","metadata":{"doi":"10.25504/FAIRsharing.jskz3k","name":"Plantmetabolomics.org","status":"deprecated","homepage":"http://www.plantmetabolomics.org","identifier":1628,"description":"Arabidopsis metabolomics database which provides researchers with resources to investigate the function of genes and metabolites.","abbreviation":"Plantmetabolomics.org","data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000084","bsg-d000084"],"name":"FAIRsharing record for: Plantmetabolomics.org","abbreviation":"Plantmetabolomics.org","url":"https://fairsharing.org/10.25504/FAIRsharing.jskz3k","doi":"10.25504/FAIRsharing.jskz3k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Arabidopsis metabolomics database which provides researchers with resources to investigate the function of genes and metabolites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Mass spectrum","Image","Stereo microscope"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1395,"pubmed_id":20147492,"title":"PlantMetabolomics.org: a web portal for plant metabolomics experiments.","year":2010,"url":"http://doi.org/10.1104/pp.109.151027","authors":"Bais P., Moon SM., He K., Leitao R., Dreher K., Walk T., Sucaet Y., Barkan L., Wohlgemuth G., Roth MR., Wurtele ES., Dixon P., Fiehn O., Lange BM., Shulaev V., Sumner LW., Welti R., Nikolau BJ., Rhee SY., Dickerson JA.,","journal":"Plant Physiol.","doi":"10.1104/pp.109.151027","created_at":"2021-09-30T08:24:55.968Z","updated_at":"2021-09-30T08:24:55.968Z"}],"licence_links":[],"grants":[{"id":278,"fairsharing_record_id":1628,"organisation_id":235,"relation":"maintains","created_at":"2021-09-30T09:24:24.838Z","updated_at":"2021-09-30T09:24:24.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":235,"name":"Bioinformatics and Computational Biology Program, Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology (BBMB), Iowa State University, Ames, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":279,"fairsharing_record_id":1628,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:24.876Z","updated_at":"2021-09-30T09:32:25.462Z","grant_id":1613,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB 08200823","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1629","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:27:24.671Z","metadata":{"doi":"10.25504/FAIRsharing.rn1pxg","name":"Plant Natural Antisense Transcripts Database","status":"deprecated","contacts":[{"contact_name":"Ling-Ling Chen","contact_email":"llchen@mail.hzau.edu.cn"}],"homepage":"http://bis.zju.edu.cn/pnatdb/","identifier":1629,"description":"Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs.","abbreviation":"PlantNATsDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://bis.zju.edu.cn/pnatdb/document/","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000085","bsg-d000085"],"name":"FAIRsharing record for: Plant Natural Antisense Transcripts Database","abbreviation":"PlantNATsDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rn1pxg","doi":"10.25504/FAIRsharing.rn1pxg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene name","DNA sequence data","Gene model annotation","Molecular function","Cellular component","Biological process","Untranslated RNA","Transcript"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":702,"pubmed_id":22058132,"title":"PlantNATsDB: a comprehensive database of plant natural antisense transcripts","year":2011,"url":"http://doi.org/10.1093/nar/gkr823","authors":"Dijun Chen, Chunhui Yuan, Jian Zhang, Zhao Zhang, Lin Bai, Yijun Meng, Ling-Ling Chen, and Ming Chen","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr823","created_at":"2021-09-30T08:23:37.386Z","updated_at":"2021-09-30T08:23:37.386Z"}],"licence_links":[],"grants":[{"id":281,"fairsharing_record_id":1629,"organisation_id":1843,"relation":"maintains","created_at":"2021-09-30T09:24:24.932Z","updated_at":"2021-09-30T09:24:24.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":1843,"name":"Ming Chen's Lab, Zhejiang University, Hangzhou, China","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":284,"fairsharing_record_id":1629,"organisation_id":2365,"relation":"funds","created_at":"2021-09-30T09:24:25.030Z","updated_at":"2021-09-30T09:32:23.337Z","grant_id":1597,"is_lead":false,"saved_state":{"id":2365,"name":"Program for New Century Excellent Talents in University of China","grant":"NCET-07-0740","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8093,"fairsharing_record_id":1629,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:53.372Z","updated_at":"2021-09-30T09:30:53.430Z","grant_id":920,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31071659","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8275,"fairsharing_record_id":1629,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:52.207Z","updated_at":"2021-09-30T09:31:52.249Z","grant_id":1364,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30971743","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9023,"fairsharing_record_id":1629,"organisation_id":1872,"relation":"funds","created_at":"2022-03-24T14:23:07.598Z","updated_at":"2022-03-24T14:23:07.598Z","grant_id":947,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009DFA32030","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":280,"fairsharing_record_id":1629,"organisation_id":1271,"relation":"funds","created_at":"2021-09-30T09:24:24.908Z","updated_at":"2021-09-30T09:30:49.872Z","grant_id":891,"is_lead":false,"saved_state":{"id":1271,"name":"Huazhong Agricultural University, China","grant":"2010SC07","types":["University"],"is_lead":false,"relation":"funds"}},{"id":282,"fairsharing_record_id":1629,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:24.958Z","updated_at":"2021-09-30T09:30:10.306Z","grant_id":583,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31050110121","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1630","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:02:02.425Z","metadata":{"doi":"10.25504/FAIRsharing.8pjgwx","name":"PLEXdb","status":"deprecated","contacts":[{"contact_name":"Julie A Dickerson","contact_email":"julied@iastate.edu"}],"homepage":"http://www.plexdb.org/","identifier":1630,"description":"PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data.","abbreviation":"PLEXdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.plexdb.org/modules/PD_general/feedback.php","type":"Contact form"},{"url":"http://www.plexdb.org/modules/documentation/FAQs.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"http://www.plexdb.org/modules/glSuite/gl_main.php","name":"Gene List Suite"},{"url":"http://www.plexdb.org/modules/tools/genoscope/genoscope.php","name":"Gene OscilloScope"},{"url":"http://www.plexdb.org/modules/tools/plexdb_blast.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000086","bsg-d000086"],"name":"FAIRsharing record for: PLEXdb","abbreviation":"PLEXdb","url":"https://fairsharing.org/10.25504/FAIRsharing.8pjgwx","doi":"10.25504/FAIRsharing.8pjgwx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12591}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Gene"],"taxonomies":["Fungi","Nematoda","Oomycetes","Sinorhizobium meliloti","Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1848,"pubmed_id":18287702,"title":"BarleyBase/PLEXdb.","year":2008,"url":"http://doi.org/10.1007/978-1-59745-535-0_17","authors":"Wise RP., Caldo RA., Hong L., Shen L., Cannon E., Dickerson JA.,","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-59745-535-0_17","created_at":"2021-09-30T08:25:47.581Z","updated_at":"2021-09-30T08:25:47.581Z"},{"id":1849,"pubmed_id":22084198,"title":"PLEXdb: gene expression resources for plants and plant pathogens.","year":2011,"url":"http://doi.org/10.1093/nar/gkr938","authors":"Dash S,Van Hemert J,Hong L,Wise RP,Dickerson JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr938","created_at":"2021-09-30T08:25:47.732Z","updated_at":"2021-09-30T11:29:21.460Z"}],"licence_links":[],"grants":[{"id":285,"fairsharing_record_id":1630,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:25.067Z","updated_at":"2021-09-30T09:24:25.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":286,"fairsharing_record_id":1630,"organisation_id":2932,"relation":"maintains","created_at":"2021-09-30T09:24:25.105Z","updated_at":"2021-09-30T09:24:25.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":287,"fairsharing_record_id":1630,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:24:25.183Z","updated_at":"2021-09-30T09:24:25.183Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1631","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:53:16.869Z","metadata":{"doi":"10.25504/FAIRsharing.tc6df8","name":"Pocketome: an encyclopedia of small-molecule binding sites in 4D","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"pocketome@ucsd.edu"}],"homepage":"http://pocketome.org","citations":[],"identifier":1631,"description":"The Pocketome is an encyclopedia of conformational ensembles of druggable binding sites that can be identified experimentally from co-crystal structures in the Protein Data Bank. Each Pocketome entry describes a site on a protein surface that is involved in transient interactions with small molecules and peptides.","abbreviation":"Pocketome","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://www.molsoft.com/activeicm.html","name":"ActiveICM technology"}],"deprecation_date":"2021-11-03","deprecation_reason":"This resource was deprecated because the homepage is no longer functional and a new site for the resource could not be found. Please get in touch with us if you have any information about this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000087","bsg-d000087"],"name":"FAIRsharing record for: Pocketome: an encyclopedia of small-molecule binding sites in 4D","abbreviation":"Pocketome","url":"https://fairsharing.org/10.25504/FAIRsharing.tc6df8","doi":"10.25504/FAIRsharing.tc6df8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pocketome is an encyclopedia of conformational ensembles of druggable binding sites that can be identified experimentally from co-crystal structures in the Protein Data Bank. Each Pocketome entry describes a site on a protein surface that is involved in transient interactions with small molecules and peptides.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Small molecule","Structure","Binding site","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1449,"pubmed_id":22080553,"title":"Pocketome: an encyclopedia of small-molecule binding sites in 4D.","year":2011,"url":"http://doi.org/10.1093/nar/gkr825","authors":"Kufareva I,Ilatovskiy AV,Abagyan R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr825","created_at":"2021-09-30T08:25:01.966Z","updated_at":"2021-09-30T11:29:08.517Z"},{"id":2238,"pubmed_id":19727619,"title":"The flexible pocketome engine for structural chemogenomics.","year":2009,"url":"http://doi.org/10.1007/978-1-60761-274-2_11","authors":"Abagyan R., Kufareva I.,","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-60761-274-2_11","created_at":"2021-09-30T08:26:32.242Z","updated_at":"2021-09-30T08:26:32.242Z"}],"licence_links":[],"grants":[{"id":8007,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:21.665Z","updated_at":"2021-09-30T09:30:21.704Z","grant_id":675,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"RC2 LM010994","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8064,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:44.437Z","updated_at":"2021-09-30T09:30:44.483Z","grant_id":847,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM071872","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":289,"fairsharing_record_id":1631,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:25.267Z","updated_at":"2021-09-30T09:24:25.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":290,"fairsharing_record_id":1631,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:24:25.294Z","updated_at":"2021-09-30T09:24:25.294Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":291,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:25.330Z","updated_at":"2021-09-30T09:30:08.130Z","grant_id":566,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 GM094618","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8330,"fairsharing_record_id":1631,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:07.653Z","updated_at":"2021-09-30T09:32:07.732Z","grant_id":1481,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 GM094612","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1633","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:06.313Z","metadata":{"doi":"10.25504/FAIRsharing.4bt49f","name":"Polymorphism in microRNAs and their TargetSites","status":"ready","contacts":[{"contact_name":"Yan Cui","contact_email":"ycui2@uthsc.edu"}],"homepage":"http://compbio.uthsc.edu/miRSNP/","identifier":1633,"description":"PolymiRTS (Polymorphism in microRNAs and their TargetSites) is a database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression.","abbreviation":"PolymiRTS","data_curation":{"url":"https://compbio.uthsc.edu/miRSNP/","type":"manual"},"support_links":[{"url":"http://compbio.uthsc.edu/miRSNP/help.php","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/PolymiRTS","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"http://compbio.uthsc.edu/miRSNP/batchsearch.php","name":"Batch Search"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000089","bsg-d000089"],"name":"FAIRsharing record for: Polymorphism in microRNAs and their TargetSites","abbreviation":"PolymiRTS","url":"https://fairsharing.org/10.25504/FAIRsharing.4bt49f","doi":"10.25504/FAIRsharing.4bt49f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PolymiRTS (Polymorphism in microRNAs and their TargetSites) is a database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene silencing by miRNA (microRNA)","Genetic polymorphism","Micro RNA"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1257,"pubmed_id":17099235,"title":"PolymiRTS Database: linking polymorphisms in microRNA target sites with complex traits.","year":2006,"url":"http://doi.org/10.1093/nar/gkl797","authors":"Bao L., Zhou M., Wu L., Lu L., Goldowitz D., Williams RW., Cui Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl797","created_at":"2021-09-30T08:24:40.250Z","updated_at":"2021-09-30T08:24:40.250Z"},{"id":1261,"pubmed_id":24163105,"title":"PolymiRTS Database 3.0: linking polymorphisms in microRNAs and their target sites with human diseases and biological pathways.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1028","authors":"Bhattacharya A,Ziebarth JD,Cui Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1028","created_at":"2021-09-30T08:24:40.700Z","updated_at":"2021-09-30T11:29:04.342Z"},{"id":1879,"pubmed_id":22080514,"title":"PolymiRTS Database 2.0: linking polymorphisms in microRNA target sites with human diseases and complex traits.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1026","authors":"Ziebarth JD,Bhattacharya A,Chen A,Cui Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1026","created_at":"2021-09-30T08:25:51.345Z","updated_at":"2021-09-30T11:29:21.860Z"}],"licence_links":[],"grants":[{"id":299,"fairsharing_record_id":1633,"organisation_id":3269,"relation":"maintains","created_at":"2021-09-30T09:24:25.791Z","updated_at":"2021-09-30T09:24:25.791Z","grant_id":null,"is_lead":false,"saved_state":{"id":3269,"name":"Yan Cui's Lab, University of Tennessee Health Science Center, Memphis, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":296,"fairsharing_record_id":1633,"organisation_id":77,"relation":"funds","created_at":"2021-09-30T09:24:25.714Z","updated_at":"2021-09-30T09:32:01.670Z","grant_id":1434,"is_lead":false,"saved_state":{"id":77,"name":"American Heart Association, USA","grant":"0830134N","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8220,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:36.856Z","updated_at":"2021-09-30T09:31:36.908Z","grant_id":1249,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"DA021131","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8453,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:42.510Z","updated_at":"2021-09-30T09:32:42.552Z","grant_id":1742,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"AI081050","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":294,"fairsharing_record_id":1633,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:24:25.648Z","updated_at":"2021-09-30T09:24:25.648Z","grant_id":null,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":295,"fairsharing_record_id":1633,"organisation_id":77,"relation":"maintains","created_at":"2021-09-30T09:24:25.686Z","updated_at":"2021-09-30T09:24:25.686Z","grant_id":null,"is_lead":false,"saved_state":{"id":77,"name":"American Heart Association, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":297,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:25.742Z","updated_at":"2021-09-30T09:29:32.361Z","grant_id":290,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"AA014425","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":298,"fairsharing_record_id":1633,"organisation_id":3166,"relation":"funds","created_at":"2021-09-30T09:24:25.765Z","updated_at":"2021-09-30T09:29:38.802Z","grant_id":341,"is_lead":false,"saved_state":{"id":3166,"name":"U.S. Department of Defense","grant":"W81XHW-05-01-0227","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8030,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:30.768Z","updated_at":"2021-09-30T09:30:30.849Z","grant_id":742,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"AI019782","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8198,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:28.347Z","updated_at":"2021-09-30T09:31:28.396Z","grant_id":1184,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"NR009270","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8252,"fairsharing_record_id":1633,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:45.173Z","updated_at":"2021-09-30T09:31:45.223Z","grant_id":1311,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HD052472","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1645","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T11:03:34.411Z","metadata":{"doi":"10.25504/FAIRsharing.hsbpq3","name":"Simple Modular Architecture Research Tool","status":"ready","contacts":[{"contact_name":"SMART Helpdesk","contact_email":"smart@embl.de"}],"homepage":"http://smart.embl.de","identifier":1645,"description":"SMART (Simple Modular Architecture Research Tool) is a web resource providing simple identification and extensive annotation of protein domains and the exploration of protein domain architectures. It allows the identification and annotation of genetically mobile domains and the analysis of domain architectures. More than 500 domain families found in signalling, extracellular and chromatin-associated proteins are detectable. These domains are extensively annotated with respect to phyletic distributions, functional class, tertiary structures and functionally important residues. Each domain found in a non-redundant protein database as well as search parameters and taxonomic information are stored in a relational database system. User interfaces to this database allow searches for proteins containing specific combinations of domains in defined taxa.","abbreviation":"SMART","data_curation":{"type":"none"},"support_links":[{"url":"http://smart.embl.de/help/feedback.shtml","name":"Contact Form","type":"Contact form"},{"url":"http://smart.embl.de/help/FAQ.shtml","name":"SMART FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://smart.embl.de/help/smart_glossary.shtml","name":"Glossary","type":"Help documentation"},{"url":"http://smart.embl.de/help/smart_about.shtml","name":"About SMART","type":"Help documentation"},{"url":"http://smart.embl.de/help/latest.shtml","name":"What's New","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","associated_tools":[{"url":"http://smart.embl.de/smart/batch.pl","name":"Batch Access Script (Perl)"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000101","bsg-d000101"],"name":"FAIRsharing record for: Simple Modular Architecture Research Tool","abbreviation":"SMART","url":"https://fairsharing.org/10.25504/FAIRsharing.hsbpq3","doi":"10.25504/FAIRsharing.hsbpq3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SMART (Simple Modular Architecture Research Tool) is a web resource providing simple identification and extensive annotation of protein domains and the exploration of protein domain architectures. It allows the identification and annotation of genetically mobile domains and the analysis of domain architectures. More than 500 domain families found in signalling, extracellular and chromatin-associated proteins are detectable. These domains are extensively annotated with respect to phyletic distributions, functional class, tertiary structures and functionally important residues. Each domain found in a non-redundant protein database as well as search parameters and taxonomic information are stored in a relational database system. User interfaces to this database allow searches for proteins containing specific combinations of domains in defined taxa.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12594}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Hidden Markov model","Protein domain","Multiple sequence alignment","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1097,"pubmed_id":22053084,"title":"SMART 7: recent updates to the protein domain annotation resource.","year":2011,"url":"http://doi.org/10.1093/nar/gkr931","authors":"Letunic I,Doerks T,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr931","created_at":"2021-09-30T08:24:21.457Z","updated_at":"2021-09-30T11:28:58.485Z"},{"id":1876,"pubmed_id":10361098,"title":"Protein families in multicellular organisms.","year":1999,"url":"http://doi.org/10.1016/S0959-440X(99)80055-4","authors":"Copley RR,Schultz J,Ponting CP,Bork P","journal":"Curr Opin Struct Biol","doi":"10.1016/S0959-440X(99)80055-4","created_at":"2021-09-30T08:25:51.023Z","updated_at":"2021-09-30T08:25:51.023Z"},{"id":1893,"pubmed_id":18978020,"title":"SMART 6: recent updates and new developments.","year":2008,"url":"http://doi.org/10.1093/nar/gkn808","authors":"Letunic I,Doerks T,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn808","created_at":"2021-09-30T08:25:52.952Z","updated_at":"2021-09-30T11:29:22.152Z"},{"id":1900,"pubmed_id":16381859,"title":"SMART 5: domains in the context of genomes and networks.","year":2005,"url":"http://doi.org/10.1093/nar/gkj079","authors":"Letunic I,Copley RR,Pils B,Pinkert S,Schultz J,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj079","created_at":"2021-09-30T08:25:53.695Z","updated_at":"2021-09-30T11:29:22.544Z"},{"id":1901,"pubmed_id":14681379,"title":"SMART 4.0: towards genomic data integration.","year":2003,"url":"http://doi.org/10.1093/nar/gkh088","authors":"Letunic I,Copley RR,Schmidt S,Ciccarelli FD,Doerks T,Schultz J,Ponting CP,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh088","created_at":"2021-09-30T08:25:53.794Z","updated_at":"2021-09-30T11:29:22.635Z"},{"id":1902,"pubmed_id":10592234,"title":"SMART: a web-based tool for the study of genetically mobile domains.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.231","authors":"Schultz J,Copley RR,Doerks T,Ponting CP,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.231","created_at":"2021-09-30T08:25:53.893Z","updated_at":"2021-09-30T11:29:22.737Z"},{"id":1903,"pubmed_id":9847187,"title":"SMART: identification and annotation of domains from signalling and extracellular protein sequences.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.229","authors":"Ponting CP,Schultz J,Milpetz F,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/27.1.229","created_at":"2021-09-30T08:25:53.993Z","updated_at":"2021-09-30T11:29:22.853Z"},{"id":1904,"pubmed_id":11752305,"title":"Recent improvements to the SMART domain-based sequence annotation resource.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.242","authors":"Letunic I,Goodstadt L,Dickens NJ,Doerks T,Schultz J,Mott R,Ciccarelli F,Copley RR,Ponting CP,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.242","created_at":"2021-09-30T08:25:54.102Z","updated_at":"2021-09-30T11:29:22.944Z"},{"id":2234,"pubmed_id":29040681,"title":"20 years of the SMART protein domain annotation resource.","year":2017,"url":"http://doi.org/10.1093/nar/gkx922","authors":"Letunic I,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx922","created_at":"2021-09-30T08:26:31.755Z","updated_at":"2021-09-30T11:29:31.379Z"},{"id":2261,"pubmed_id":25300481,"title":"SMART: recent updates, new developments and status in 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku949","authors":"Letunic I,Doerks T,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku949","created_at":"2021-09-30T08:26:35.056Z","updated_at":"2021-09-30T11:29:31.961Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":763,"relation":"undefined"}],"grants":[{"id":330,"fairsharing_record_id":1645,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:26.965Z","updated_at":"2021-09-30T09:24:26.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":331,"fairsharing_record_id":1645,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:27.007Z","updated_at":"2021-09-30T09:24:27.007Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":332,"fairsharing_record_id":1645,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:27.105Z","updated_at":"2021-09-30T09:24:27.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":329,"fairsharing_record_id":1645,"organisation_id":931,"relation":"funds","created_at":"2021-09-30T09:24:26.935Z","updated_at":"2021-09-30T09:31:57.798Z","grant_id":1407,"is_lead":false,"saved_state":{"id":931,"name":"European FP7 capacities: Scientific Data Repositories","grant":"213037","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1646","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:34.868Z","metadata":{"doi":"10.25504/FAIRsharing.qbt1gh","name":"SNPeffect","status":"ready","contacts":[{"contact_name":"Frederic Rousseau","contact_email":"frederic.rousseau@vub.ac.be"}],"homepage":"http://snpeffect.switchlab.org","citations":[],"identifier":1646,"description":"SNPeffect is a database for phenotyping human single nucleotide polymorphisms (SNPs). SNPeffect primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification.","abbreviation":"SNPeffect","data_curation":{"type":"automated"},"support_links":[{"url":"http://snpeffect.switchlab.org/contact","type":"Contact form"},{"url":"http://snpeffect.switchlab.org/help","type":"Help documentation"},{"url":"http://snpeffect.switchlab.org/about","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://snpeffect.switchlab.org/meta_analysis","name":"Meta analysis: large scale mining and visualization of SNPeffect data"},{"url":"http://snpeffect.switchlab.org/snpeffect_jobs","name":"Phenotypic analysis of custom single protein variants"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://snpeffect.switchlab.org/snpeffect_jobs","type":"controlled","notes":"You have to register or login to access this page."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000102","bsg-d000102"],"name":"FAIRsharing record for: SNPeffect","abbreviation":"SNPeffect","url":"https://fairsharing.org/10.25504/FAIRsharing.qbt1gh","doi":"10.25504/FAIRsharing.qbt1gh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SNPeffect is a database for phenotyping human single nucleotide polymorphisms (SNPs). SNPeffect primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene Ontology enrichment","Chaperone binding","Mutation analysis","Phenotype","Disease","Structure","Single nucleotide polymorphism","Amino acid sequence"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Free energy prediction","Protein aggregation"],"countries":["Belgium"],"publications":[{"id":1172,"pubmed_id":22075996,"title":"SNPeffect 4.0: on-line prediction of molecular and structural effects of protein-coding variants.","year":2011,"url":"http://doi.org/10.1093/nar/gkr996","authors":"De Baets G,Van Durme J,Reumers J,Maurer-Stroh S,Vanhee P,Dopazo J,Schymkowitz J,Rousseau F","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr996","created_at":"2021-09-30T08:24:30.280Z","updated_at":"2021-09-30T11:29:01.892Z"},{"id":1477,"pubmed_id":15608254,"title":"SNPeffect: a database mapping molecular phenotypic effects of human non-synonymous coding SNPs.","year":2004,"url":"http://doi.org/10.1093/nar/gki086","authors":"Reumers J., Schymkowitz J., Ferkinghoff-Borg J., Stricher F., Serrano L., Rousseau F.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki086","created_at":"2021-09-30T08:25:05.344Z","updated_at":"2021-09-30T08:25:05.344Z"},{"id":1478,"pubmed_id":16809394,"title":"SNPeffect v2.0: a new step in investigating the molecular phenotypic effects of human non-synonymous SNPs.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl348","authors":"Reumers J., Maurer-Stroh S., Schymkowitz J., Rousseau F.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl348","created_at":"2021-09-30T08:25:05.452Z","updated_at":"2021-09-30T08:25:05.452Z"},{"id":1479,"pubmed_id":18086700,"title":"Joint annotation of coding and non-coding single nucleotide polymorphisms and mutations in the SNPeffect and PupaSuite databases.","year":2007,"url":"http://doi.org/10.1093/nar/gkm979","authors":"Reumers J., Conde L., Medina I., Maurer-Stroh S., Van Durme J., Dopazo J., Rousseau F., Schymkowitz J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm979","created_at":"2021-09-30T08:25:05.611Z","updated_at":"2021-09-30T08:25:05.611Z"}],"licence_links":[],"grants":[{"id":9018,"fairsharing_record_id":1646,"organisation_id":198,"relation":"funds","created_at":"2022-03-24T10:46:16.653Z","updated_at":"2022-03-24T10:46:16.653Z","grant_id":281,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","grant":"IUAP P6/43","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":334,"fairsharing_record_id":1646,"organisation_id":2690,"relation":"maintains","created_at":"2021-09-30T09:24:27.243Z","updated_at":"2021-09-30T09:24:27.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2690,"name":"Switch Laboratory","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1647","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:46:54.947Z","metadata":{"doi":"10.25504/FAIRsharing.ja9cdq","name":"Statistical Torsional Angles Potentials of NMR Refinement Database","status":"deprecated","contacts":[{"contact_name":"Jinhyuk Lee","contact_email":"jinhyuk@kribb.re.kr"}],"homepage":"http://psb.kobic.re.kr/stap/refinement/","identifier":1647,"description":"The STAP database contains refined versions of the NMR structures deposited in PDB. These refinements have been performed using statistical torsion angle potential and structurally- or experimentally- derived distance potential. The refined structures have a significantly improved structural quality compared to their initial NMR structure.","abbreviation":"STAP","data_curation":{"type":"not found"},"support_links":[{"url":"webmaster@kobic.kr","type":"Support email"},{"url":"http://psb.kobic.re.kr/stap/refinement/help.php","type":"Help documentation"},{"url":"http://psb.kobic.re.kr/stap/refinement/method.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000103","bsg-d000103"],"name":"FAIRsharing record for: Statistical Torsional Angles Potentials of NMR Refinement Database","abbreviation":"STAP","url":"https://fairsharing.org/10.25504/FAIRsharing.ja9cdq","doi":"10.25504/FAIRsharing.ja9cdq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The STAP database contains refined versions of the NMR structures deposited in PDB. These refinements have been performed using statistical torsion angle potential and structurally- or experimentally- derived distance potential. The refined structures have a significantly improved structural quality compared to their initial NMR structure.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12595}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Statistics","Life Science"],"domains":["Protein structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":1557,"pubmed_id":22102572,"title":"STAP Refinement of the NMR database: a database of 2405 refined solution NMR structures.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1021","authors":"Yang JS,Kim JH,Oh S,Han G,Lee S,Lee J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1021","created_at":"2021-09-30T08:25:14.649Z","updated_at":"2021-09-30T11:29:13.910Z"},{"id":1558,"pubmed_id":23408564,"title":"Statistical torsion angle potential energy functions for protein structure modeling: a bicubic interpolation approach.","year":2013,"url":"http://doi.org/10.1002/prot.24265","authors":"Kim TR,Yang JS,Shin S,Lee J","journal":"Proteins","doi":"10.1002/prot.24265","created_at":"2021-09-30T08:25:14.751Z","updated_at":"2021-09-30T08:25:14.751Z"},{"id":1559,"pubmed_id":25279564,"title":"Protein NMR structures refined without NOE data.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0108888","authors":"Ryu H,Kim TR,Ahn S,Ji S,Lee J","journal":"PLoS One","doi":"10.1371/journal.pone.0108888","created_at":"2021-09-30T08:25:14.862Z","updated_at":"2021-09-30T08:25:14.862Z"},{"id":1560,"pubmed_id":26504145,"title":"NMRe: a web server for NMR protein structure refinement with high-quality structure validation scores.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv595","authors":"Ryu H,Lim G,Sung BH,Lee J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv595","created_at":"2021-09-30T08:25:14.970Z","updated_at":"2021-09-30T08:25:14.970Z"}],"licence_links":[],"grants":[{"id":335,"fairsharing_record_id":1647,"organisation_id":1875,"relation":"funds","created_at":"2021-09-30T09:24:27.392Z","updated_at":"2021-09-30T09:30:04.806Z","grant_id":541,"is_lead":false,"saved_state":{"id":1875,"name":"Ministry of Science, ICT and Future Planning, Gwacheon, Korea","grant":"20110002321","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":336,"fairsharing_record_id":1647,"organisation_id":1646,"relation":"maintains","created_at":"2021-09-30T09:24:27.450Z","updated_at":"2021-09-30T09:24:27.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":1646,"name":"Korean Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8483,"fairsharing_record_id":1647,"organisation_id":1875,"relation":"funds","created_at":"2021-09-30T09:32:51.019Z","updated_at":"2021-09-30T09:32:51.079Z","grant_id":1805,"is_lead":false,"saved_state":{"id":1875,"name":"Ministry of Science, ICT and Future Planning, Gwacheon, Korea","grant":"20110019747","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1634","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:25.656Z","metadata":{"doi":"10.25504/FAIRsharing.3jp2e5","name":"Prokaryotic Glycoproteins Database","status":"deprecated","contacts":[{"contact_name":"Alka Rao","contact_email":"raoalka@imtech.res.in"}],"homepage":"http://crdd.osdd.net/raghava/proglycprot","identifier":1634,"description":"ProGlycProt (Prokaryotic Glycoproteins) is a manually curated, comprehensive repository of experimentally characterized eubacterial and archaeal glycoproteins, generated from an exhaustive literature search. This is the focused beginning of an effort to provide concise relevant information derived from rapidly expanding literature on prokaryotic glycoproteins, their glycosylating enzyme(s), glycosylation linked genes, and genomic context thereof, in a cross-referenced manner.","abbreviation":"ProGlycProt","data_curation":{"type":"not found"},"support_links":[{"url":"http://crdd.osdd.net/raghava/proglycprot/help.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/ProGlycProt","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://crdd.osdd.net/raghava/proglycprot/Mapsequon.php","name":"Map Sequon"},{"url":"http://crdd.osdd.net/raghava/proglycprot/glyseq_extractor.php","name":"Glyseq Extractor"},{"url":"http://crdd.osdd.net/raghava/proglycprot/blast.html","name":"Blast"}],"deprecation_date":"2021-05-27","deprecation_reason":"This resource is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000090","bsg-d000090"],"name":"FAIRsharing record for: Prokaryotic Glycoproteins Database","abbreviation":"ProGlycProt","url":"https://fairsharing.org/10.25504/FAIRsharing.3jp2e5","doi":"10.25504/FAIRsharing.3jp2e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProGlycProt (Prokaryotic Glycoproteins) is a manually curated, comprehensive repository of experimentally characterized eubacterial and archaeal glycoproteins, generated from an exhaustive literature search. This is the focused beginning of an effort to provide concise relevant information derived from rapidly expanding literature on prokaryotic glycoproteins, their glycosylating enzyme(s), glycosylation linked genes, and genomic context thereof, in a cross-referenced manner.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Taxonomic classification","Gene name","DNA sequence data","Annotation","Glycosylation","Protein sequence identification","Glycosylated residue","Curated information","Sequence","Homologous"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["Genome Context","Glycan Annotation"],"countries":["India"],"publications":[{"id":703,"pubmed_id":22039152,"title":"ProGlycProt: a repository of experimentally characterized prokaryotic glycoproteins","year":2011,"url":"http://doi.org/10.1093/nar/gkr911","authors":"Bhat AH, Mondal H, Chauhan JS, Raghava GP, Methi A, Rao A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr911","created_at":"2021-09-30T08:23:37.496Z","updated_at":"2021-09-30T08:23:37.496Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.5 India (CC BY-NC-SA 2.5 IN)","licence_id":182,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.5/in/","link_id":1189,"relation":"undefined"},{"licence_name":"ProGlycProt Data Policies and Disclaimer","licence_id":683,"licence_url":"http://crdd.osdd.net/raghava/proglycprot/disclaimer.html","link_id":1190,"relation":"undefined"}],"grants":[{"id":300,"fairsharing_record_id":1634,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:24:25.821Z","updated_at":"2021-09-30T09:29:35.936Z","grant_id":318,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","grant":"SIP10AA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":301,"fairsharing_record_id":1634,"organisation_id":1425,"relation":"funds","created_at":"2021-09-30T09:24:25.863Z","updated_at":"2021-09-30T09:29:45.071Z","grant_id":385,"is_lead":false,"saved_state":{"id":1425,"name":"Institute of Microbial Technology (IMTECH), Council of Scientific \u0026 Industrial Research (CSIR), Chandigarh, India","grant":"OLP0063","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1635","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:36:53.321Z","metadata":{"doi":"10.25504/FAIRsharing.8kd5e5","name":"ProRepeat: An Integrated Repository for Studying Amino Acid Tandem Repeats in Proteins","status":"deprecated","homepage":"http://prorepeat.bioinformatics.nl","identifier":1635,"description":"ProRepeat is an integrated curated repository and analysis platform for in-depth research on the biological characteristics of amino acid tandem repeats. ProRepeat collects repeats from all proteins included in the UniProt knowledgebase, together with 85 completely sequenced eukaryotic proteomes contained within the RefSeq collection.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://en.wikipedia.org/wiki/ProRepeat","type":"Wikipedia"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000091","bsg-d000091"],"name":"FAIRsharing record for: ProRepeat: An Integrated Repository for Studying Amino Acid Tandem Repeats in Proteins","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8kd5e5","doi":"10.25504/FAIRsharing.8kd5e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProRepeat is an integrated curated repository and analysis platform for in-depth research on the biological characteristics of amino acid tandem repeats. ProRepeat collects repeats from all proteins included in the UniProt knowledgebase, together with 85 completely sequenced eukaryotic proteomes contained within the RefSeq collection.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence composition, complexity and repeats","Tandem repeat"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":773,"pubmed_id":22102581,"title":"ProRepeat: an integrated repository for studying amino acid tandem repeats in proteins.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1019","authors":"Luo H,Lin K,David A,Nijveen H,Leunissen JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1019","created_at":"2021-09-30T08:23:45.185Z","updated_at":"2021-09-30T11:28:50.867Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1636","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:39.372Z","metadata":{"doi":"10.25504/FAIRsharing.6zk9ea","name":"Protein-Chemical Structural Interactions","status":"ready","contacts":[{"contact_name":"Olga Kalinina","contact_email":"olga.kalinina@bioquant.uni-heidelberg.de"}],"homepage":"http://pcidb.russelllab.org/","citations":[],"identifier":1636,"description":"Protein-Chemical Structural Interactions provides information on the 3-dimensional chemical structures of protein interactions with low molecular weight.","abbreviation":"ProtChemSI","data_curation":{"url":"http://pcidb.russelllab.org/docs.shtml","type":"manual"},"support_links":[{"url":"http://pcidb.russelllab.org/docs.shtml","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000092","bsg-d000092"],"name":"FAIRsharing record for: Protein-Chemical Structural Interactions","abbreviation":"ProtChemSI","url":"https://fairsharing.org/10.25504/FAIRsharing.6zk9ea","doi":"10.25504/FAIRsharing.6zk9ea","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Protein-Chemical Structural Interactions provides information on the 3-dimensional chemical structures of protein interactions with low molecular weight.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11761}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science"],"domains":["Chemical structure","Protein interaction","Ligand","Molecular interaction","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":954,"pubmed_id":21573205,"title":"Combinations of protein-chemical complex structures reveal new targets for established drugs.","year":2011,"url":"http://doi.org/10.1371/journal.pcbi.1002043","authors":"Kalinina OV., Wichmann O., Apic G., Russell RB.,","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1002043","created_at":"2021-09-30T08:24:05.530Z","updated_at":"2021-09-30T08:24:05.530Z"}],"licence_links":[],"grants":[{"id":302,"fairsharing_record_id":1636,"organisation_id":398,"relation":"maintains","created_at":"2021-09-30T09:24:25.907Z","updated_at":"2021-09-30T09:24:25.907Z","grant_id":null,"is_lead":false,"saved_state":{"id":398,"name":"Cell Networks, University of Heidelberg, Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":303,"fairsharing_record_id":1636,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:25.938Z","updated_at":"2021-09-30T09:24:25.938Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1641","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:37:11.385Z","metadata":{"doi":"10.25504/FAIRsharing.5rb3fk","name":"ModelDB","status":"ready","contacts":[{"contact_name":"Robert McDougal","contact_email":"curator@modeldb.science"}],"homepage":"http://senselab.med.yale.edu/modeldb","citations":[{"doi":"10.1007/s10827-016-0623-7","pubmed_id":27629590,"publication_id":1191}],"identifier":1641,"description":"ModelDB provides an accessible location for storing and efficiently retrieving computational neuroscience models. A ModelDB entry contains a model's source code, concise description, and a citation of the article that published it. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models.","abbreviation":"ModelDB","data_curation":{"url":"https://senselab.med.yale.edu/ModelDB/helpmenu","type":"manual","notes":"All models are created in private mode, and they remain that way until you request that they be made public. Do this by selecting \"request to make public\" on the ShowModel page. A curator will then review your model and may contact you with questions before making it public."},"support_links":[{"url":"curator@modeldb.science","name":"modelDB curators","type":"Support email"},{"url":"https://senselab.med.yale.edu/modeldb/guide2.html","type":"Help documentation"},{"url":"https://twitter.com/SenseLabProject","type":"Twitter"}],"year_creation":1996,"data_versioning":"yes","associated_tools":[{"url":"https://senselab.med.yale.edu/SimToolDB/","name":"SimToolDB"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011330","name":"re3data:r3d100011330","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007271","name":"SciCrunch:RRID:SCR_007271","portal":"SciCrunch"}],"data_access_condition":{"url":"https://senselab.med.yale.edu/ModelDB/helpmenu","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000097","bsg-d000097"],"name":"FAIRsharing record for: ModelDB","abbreviation":"ModelDB","url":"https://fairsharing.org/10.25504/FAIRsharing.5rb3fk","doi":"10.25504/FAIRsharing.5rb3fk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ModelDB provides an accessible location for storing and efficiently retrieving computational neuroscience models. A ModelDB entry contains a model's source code, concise description, and a citation of the article that published it. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12240}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Computational Biology","Life Science"],"domains":["Mathematical model","Network model","Neuron","Modeling and simulation","Ion channel activity","Behavior","Software"],"taxonomies":["All"],"user_defined_tags":["Multi-scale model"],"countries":["United States"],"publications":[{"id":1191,"pubmed_id":27629590,"title":"Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience","year":2016,"url":"http://doi.org/10.1007/s10827-016-0623-7","authors":"McDougal RA, Morse TM, Carnevale T, Marenco L, Wang R, Migliore M, Miller PL, Shepherd GM, Hines ML","journal":"J Comput Neurosci","doi":"10.1007/s10827-016-0623-7","created_at":"2021-09-30T08:24:32.424Z","updated_at":"2021-09-30T08:24:32.424Z"},{"id":1542,"pubmed_id":15218350,"title":"ModelDB: A Database to Support Computational Neuroscience.","year":2004,"url":"http://doi.org/10.1023/B:JCNS.0000023869.22017.2e","authors":"Hines ML,Morse T,Migliore M,Carnevale NT,Shepherd GM","journal":"J Comput Neurosci","doi":"10.1023/B:JCNS.0000023869.22017.2e","created_at":"2021-09-30T08:25:12.696Z","updated_at":"2021-09-30T08:25:12.696Z"},{"id":1544,"pubmed_id":8930855,"title":"ModelDB: an environment for running and storing computational models and their results applied to neuroscience.","year":1996,"url":"http://doi.org/10.1136/jamia.1996.97084512","authors":"Peterson BE,Healy MD,Nadkarni PM,Miller PL,Shepherd GM","journal":"J Am Med Inform Assoc","doi":"10.1136/jamia.1996.97084512","created_at":"2021-09-30T08:25:12.910Z","updated_at":"2021-09-30T08:25:12.910Z"},{"id":1561,"pubmed_id":15055399,"title":"ModelDB: making models publicly accessible to support computational neuroscience.","year":2004,"url":"http://doi.org/10.1385/NI:1:1:135","authors":"Migliore M,Morse TM,Davison AP,Marenco L,Shepherd GM,Hines ML","journal":"Neuroinformatics","doi":"10.1385/NI:1:1:135","created_at":"2021-09-30T08:25:15.078Z","updated_at":"2021-09-30T08:25:15.078Z"}],"licence_links":[],"grants":[{"id":320,"fairsharing_record_id":1641,"organisation_id":3267,"relation":"maintains","created_at":"2021-09-30T09:24:26.606Z","updated_at":"2021-09-30T09:24:26.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":3267,"name":"Yale University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":319,"fairsharing_record_id":1641,"organisation_id":3268,"relation":"maintains","created_at":"2021-09-30T09:24:26.565Z","updated_at":"2021-09-30T09:24:26.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":3268,"name":"Yale University School of Medicine, New Haven, CT, USA.","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":318,"fairsharing_record_id":1641,"organisation_id":2002,"relation":"funds","created_at":"2021-09-30T09:24:26.508Z","updated_at":"2021-09-30T09:30:52.855Z","grant_id":916,"is_lead":false,"saved_state":{"id":2002,"name":"National Institute for Deafness and other Communication Disorders (NIDCD)","grant":"R01 DC 009977","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12027,"fairsharing_record_id":1641,"organisation_id":1274,"relation":"funds","created_at":"2024-07-08T14:51:28.823Z","updated_at":"2024-07-08T14:51:29.502Z","grant_id":1439,"is_lead":false,"saved_state":{"id":1274,"name":"Human Brain Project","grant":"5PO1DC004732","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1642","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:05:30.422Z","metadata":{"doi":"10.25504/FAIRsharing.sncr74","name":"Syntheses, Chemicals, and Reactions In Patents DataBase","status":"deprecated","contacts":[{"contact_email":"SCRIPDB@cs.toronto.edu"}],"homepage":"http://dcv.uhnres.utoronto.ca/SCRIPDB","citations":[],"identifier":1642,"description":"SCRIPDB is a chemical structure database designed to make patent metadata accessible. We index public-domain chemical information contained in U.S. patents, and provide the full patent text, reactions, and relationships described within any individual patent, as well as the original CDX, MOL, and TIFF files.","abbreviation":"SCRIPDB","data_curation":{"type":"manual"},"support_links":[{"url":"https://en.wikipedia.org/wiki/SCRIPDB","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012730","name":"re3data:r3d100012730","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008922","name":"SciCrunch:RRID:SCR_008922","portal":"SciCrunch"}],"deprecation_date":"2022-07-12","deprecation_reason":"This resource homepage has been marked as \"under maintenance\" the last few times the FAIRsharing Team visited it. Because no alternative homepage can be found, this resource has been marked as deprecated. Please get in touch with us if you have any questions.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000098","bsg-d000098"],"name":"FAIRsharing record for: Syntheses, Chemicals, and Reactions In Patents DataBase","abbreviation":"SCRIPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.sncr74","doi":"10.25504/FAIRsharing.sncr74","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SCRIPDB is a chemical structure database designed to make patent metadata accessible. We index public-domain chemical information contained in U.S. patents, and provide the full patent text, reactions, and relationships described within any individual patent, as well as the original CDX, MOL, and TIFF files.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11763}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Chemical structure","Image","Patent"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1342,"pubmed_id":22067445,"title":"SCRIPDB: a portal for easy access to syntheses, chemicals and reactions in patents.","year":2011,"url":"http://doi.org/10.1093/nar/gkr919","authors":"Heifets A,Jurisica I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr919","created_at":"2021-09-30T08:24:50.166Z","updated_at":"2021-09-30T11:29:06.143Z"}],"licence_links":[],"grants":[{"id":323,"fairsharing_record_id":1642,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:24:26.732Z","updated_at":"2021-09-30T09:29:37.279Z","grant_id":329,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","grant":"CFI #12301","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":322,"fairsharing_record_id":1642,"organisation_id":1616,"relation":"maintains","created_at":"2021-09-30T09:24:26.691Z","updated_at":"2021-09-30T09:24:26.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":1616,"name":"Jurisica Lab, Ontario Cancer Institute, Toronto, ON, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":324,"fairsharing_record_id":1642,"organisation_id":2247,"relation":"funds","created_at":"2021-09-30T09:24:26.774Z","updated_at":"2021-09-30T09:29:02.017Z","grant_id":64,"is_lead":false,"saved_state":{"id":2247,"name":"Ontario Research Fund","grant":"GL2-01-030","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8156,"fairsharing_record_id":1642,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:31:14.773Z","updated_at":"2021-09-30T09:31:14.820Z","grant_id":1084,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","grant":"CFI #203383","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1643","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-01T11:46:25.581Z","metadata":{"doi":"10.25504/FAIRsharing.6648ht","name":"The SEQanswers wiki","status":"ready","contacts":[{"contact_name":"Dan Bolser","contact_email":"dan.bolser@gmail.com","contact_orcid":"0000-0002-3991-0859"}],"homepage":"https://www.seqanswers.com/","citations":[],"identifier":1643,"description":"Wiki on all aspects of next-generation genomics. The SEQanswers wiki is a Semantic MediWiki (SMW) site that is edited and updated by the members of the SEQanswers community. The wiki provides an extensive catalogue of manually categorized analysis tools, technologies and information about service providers.","abbreviation":null,"data_curation":{"url":"https://www.seqanswers.com/help#content_overview/content_topics","type":"manual","notes":"Community Curation"},"support_links":[{"url":"http://seqanswers.com/forums/forumdisplay.php?f=36","type":"Forum"},{"url":"http://seqanswers.com/wiki/Help:Contents","type":"Help documentation"},{"url":"http://seqanswers.com/wiki/SEQwiki:About","type":"Help documentation"},{"url":"https://twitter.com/SEQanswers","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"url":"https://www.seqanswers.com/register","type":"open","notes":"Register is necessary to access the data"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.seqanswers.com/help#content_overview/content_topics","type":"open","notes":"account required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000099","bsg-d000099"],"name":"FAIRsharing record for: The SEQanswers wiki","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6648ht","doi":"10.25504/FAIRsharing.6648ht","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Wiki on all aspects of next-generation genomics. The SEQanswers wiki is a Semantic MediWiki (SMW) site that is edited and updated by the members of the SEQanswers community. The wiki provides an extensive catalogue of manually categorized analysis tools, technologies and information about service providers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Citation","Free text","Next generation DNA sequencing","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Germany","Hong Kong","Ireland","United States"],"publications":[{"id":752,"pubmed_id":22086956,"title":"The SEQanswers wiki: a wiki database of tools for high-throughput sequencing analysis.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1058","authors":"Li JW,Robison K,Martin M,Sjodin A,Usadel B,Young M,Olivares EC,Bolser DM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1058","created_at":"2021-09-30T08:23:42.801Z","updated_at":"2021-09-30T11:28:49.784Z"},{"id":788,"pubmed_id":22419780,"title":"SEQanswers: an open access community for collaboratively decoding genomes.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts128","authors":"Li JW,Schmieder R,Ward RM,Delenick J,Olivares EC,Mittelman D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts128","created_at":"2021-09-30T08:23:46.862Z","updated_at":"2021-09-30T08:23:46.862Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1251,"relation":"undefined"}],"grants":[{"id":11258,"fairsharing_record_id":1643,"organisation_id":4226,"relation":"associated_with","created_at":"2024-02-01T11:46:06.023Z","updated_at":"2024-02-01T11:46:06.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":4226,"name":"Chinese University of Hong Kong","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3d695e4885f5a34c615b2e89d4dac337597f5dc6/seq-answers-header-nobg-medium-blue.png?disposition=inline","exhaustive_licences":false}},{"id":"1639","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:06.745Z","metadata":{"doi":"10.25504/FAIRsharing.pn1sr5","name":"Rhea","status":"ready","contacts":[{"contact_name":"Anne Morgat","contact_email":"anne.morgat@sib.swiss","contact_orcid":"0000-0002-1216-2969"}],"homepage":"http://www.rhea-db.org","citations":[{"doi":"10.1093/nar/gkab1016","pubmed_id":34755880,"publication_id":3272}],"identifier":1639,"description":"Rhea is a comprehensive and non-redundant resource of expert-curated chemical and transport reactions of biological interest. Rhea can be used for enzyme annotation, genome-scale metabolic modeling and omics-related analysis. Rhea describes enzyme-catalyzed reactions covering the IUBMB Enzyme Nomenclature list as well as additional reactions, including spontaneously occurring reactions. Rhea is built on ChEBI (Chemical Entities of Biological Interest) ontology of small molecules to describe its reaction participants. Since December 2018, Rhea is the standard for enzyme annotation in UniProt.","abbreviation":"Rhea","data_curation":{"url":"https://www.rhea-db.org/help/reaction-curation","type":"manual","notes":"Rhea is an expert-curated knowledgebase of chemical and transport reactions of biological interest"},"support_links":[{"url":"https://www.rhea-db.org/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.rhea-db.org/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://www.rhea-db.org/help","name":"Documentation","type":"Help documentation"},{"url":"https://sourceforge.net/p/rhea-ebi/news/feed.rss","name":"RSS","type":"Blog/News"},{"url":"https://twitter.com/rhea_db","name":"@rhea_db","type":"Twitter"},{"url":"https://www.rhea-db.org/help?query=\u0026filter=category:faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ftp.expasy.org/databases/rhea/rhea_news.html","name":"News","type":"Blog/News"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://www.chemaxon.com/","name":"ChemAxon"},{"url":"https://cran.r-project.org/web/packages/RxnSim/index.html","name":"RxnSim 1.0.3"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010891","name":"re3data:r3d100010891","portal":"re3data"}],"data_access_condition":{"url":"https://www.rhea-db.org/help/license-disclaimer","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000095","bsg-d000095"],"name":"FAIRsharing record for: Rhea","abbreviation":"Rhea","url":"https://fairsharing.org/10.25504/FAIRsharing.pn1sr5","doi":"10.25504/FAIRsharing.pn1sr5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Rhea is a comprehensive and non-redundant resource of expert-curated chemical and transport reactions of biological interest. Rhea can be used for enzyme annotation, genome-scale metabolic modeling and omics-related analysis. Rhea describes enzyme-catalyzed reactions covering the IUBMB Enzyme Nomenclature list as well as additional reactions, including spontaneously occurring reactions. Rhea is built on ChEBI (Chemical Entities of Biological Interest) ontology of small molecules to describe its reaction participants. Since December 2018, Rhea is the standard for enzyme annotation in UniProt.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10930},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11324},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11762},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12157},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16187}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science"],"domains":["Chemical formula","Reaction data","Annotation","Chemical entity","Transport","Small molecule","Enzymatic reaction","Curated information","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2061,"pubmed_id":27789701,"title":"Updates in Rhea - an expert curated resource of biochemical reactions.","year":2016,"url":"http://doi.org/10.1093/nar/gkw990","authors":"Morgat A, Lombardot T, Axelsen KB, Aimo L, Niknejad A, Hyka-Nouspikel N, Coudert E, Pozzato M, Pagni M, Moretti S, Rosanoff S, Onwubiko J, Bougueleret L, Xenarios I, Redaschi N, Bridge A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw990","created_at":"2021-09-30T08:26:12.241Z","updated_at":"2021-09-30T08:26:12.241Z"},{"id":2660,"pubmed_id":25332395,"title":"Updates in Rhea--a manually curated resource of biochemical reactions.","year":2014,"url":"http://doi.org/10.1093/nar/gku961","authors":"Morgat A, Axelsen KB, Lombardot T, Alcántara R, Aimo L, Zerara M, Niknejad A, Belda E, Hyka-Nouspikel N, Coudert E, Redaschi N, Bougueleret L, Steinbeck C, Xenarios I, Bridge A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku961","created_at":"2021-09-30T08:27:26.655Z","updated_at":"2021-09-30T08:27:26.655Z"},{"id":2661,"pubmed_id":22135291,"title":"Rhea--a manually curated resource of biochemical reactions.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1126","authors":"Alcantara R,Axelsen KB,Morgat A,Belda E,Coudert E,Bridge A,Cao H,de Matos P,Ennis M,Turner S,Owen G,Bougueleret L,Xenarios I,Steinbeck C","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1126","created_at":"2021-09-30T08:27:26.771Z","updated_at":"2021-09-30T08:27:26.771Z"},{"id":2669,"pubmed_id":30272209,"title":"Updates in Rhea: SPARQLing biochemical reaction data.","year":2018,"url":"http://doi.org/10.1093/nar/gky876","authors":"Lombardot T, Morgat A, Axelsen KB, Aimo L, Hyka-Nouspikel N, Niknejad A, Ignatchenko A, Xenarios I, Coudert E, Redaschi N, Bridge A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky876","created_at":"2021-09-30T08:27:27.694Z","updated_at":"2021-09-30T11:29:41.003Z"},{"id":2672,"pubmed_id":31688925,"title":"Enzyme annotation in UniProtKB using Rhea","year":2019,"url":"http://doi.org/10.1093/bioinformatics/btz817","authors":"Morgat A, Lombardot T, Coudert E, Axelsen K, Neto TB, Gehant S, Bansal P, Bolleman J, Gasteiger E, de Castro E, Baratin D, Pozzato M, Xenarios I, Poux S, Redaschi N, Bridge A and the UniProt Consortium","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btz817","created_at":"2021-09-30T08:27:28.063Z","updated_at":"2021-09-30T08:27:28.063Z"},{"id":3272,"pubmed_id":34755880,"title":"Rhea, the reaction knowledgebase in 2022.","year":2022,"url":"https://doi.org/10.1093/nar/gkab1016","authors":"Bansal P, Morgat A, Axelsen KB, Muthukrishnan V, Coudert E, Aimo L, Hyka-Nouspikel N, Gasteiger E, Kerhornou A, Neto TB, Pozzato M, Blatter MC, Ignatchenko A, Redaschi N, Bridge A","journal":"Nucleic acids research","doi":"10.1093/nar/gkab1016","created_at":"2022-03-25T14:34:09.528Z","updated_at":"2022-03-25T14:34:09.528Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":901,"relation":"undefined"}],"grants":[{"id":313,"fairsharing_record_id":1639,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:26.335Z","updated_at":"2021-09-30T09:24:26.335Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10010,"fairsharing_record_id":1639,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.701Z","updated_at":"2022-10-13T09:43:38.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":9417,"fairsharing_record_id":1639,"organisation_id":2635,"relation":"funds","created_at":"2022-04-11T12:07:36.898Z","updated_at":"2022-04-11T12:07:36.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1FCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9549c8b57841b1870a5279152f00dbe292fd880b/LogoRheaRVB80x170.png?disposition=inline","exhaustive_licences":false}},{"id":"1640","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-08T10:28:13.968Z","metadata":{"doi":"10.25504/FAIRsharing.vebj4e","name":"RNA Characterization of Secondary Structure Motifs","status":"ready","contacts":[{"contact_name":"Brent M. Znosko","contact_email":"znoskob@slu.edu"}],"homepage":"https://rnacossmos.com/","citations":[],"identifier":1640,"description":"RNA Characterization of Secondary Structure Motifs (RNA CoSSMos) database allows the systematic searching of all catalogued three-dimensional nucleic acid PDB structures that contain secondary structure motifs such as mismatches, (a)symmetric internal loops, hairpin loops, and bulge loops.","abbreviation":"RNA CoSSMos","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.rnacossmos.com/contact.php","type":"Contact form"},{"url":"https://www.rnacossmos.com/faq2.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/RNA_CoSSMos","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000096","bsg-d000096"],"name":"FAIRsharing record for: RNA Characterization of Secondary Structure Motifs","abbreviation":"RNA CoSSMos","url":"https://fairsharing.org/10.25504/FAIRsharing.vebj4e","doi":"10.25504/FAIRsharing.vebj4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNA Characterization of Secondary Structure Motifs (RNA CoSSMos) database allows the systematic searching of all catalogued three-dimensional nucleic acid PDB structures that contain secondary structure motifs such as mismatches, (a)symmetric internal loops, hairpin loops, and bulge loops.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12593}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Ribonucleic acid","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":753,"pubmed_id":22127861,"title":"RNA CoSSMos: Characterization of Secondary Structure Motifs--a searchable database of secondary structure motifs in RNA three-dimensional structures.","year":2011,"url":"http://doi.org/10.1093/nar/gkr943","authors":"Vanegas PL, Hudson GA, Davis AR, Kelly SC, Kirkpatrick CC, Znosko BM.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gkr943","created_at":"2021-09-30T08:23:42.913Z","updated_at":"2021-09-30T08:23:42.913Z"}],"licence_links":[],"grants":[{"id":317,"fairsharing_record_id":1640,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:26.484Z","updated_at":"2021-09-30T09:30:29.007Z","grant_id":730,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"1R15GM085699-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11700,"fairsharing_record_id":1640,"organisation_id":4336,"relation":"maintains","created_at":"2024-04-08T10:28:02.496Z","updated_at":"2024-04-08T10:28:02.496Z","grant_id":null,"is_lead":true,"saved_state":{"id":4336,"name":"Znosko Lab, Department of Chemistry, Saint Louis University","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1624","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:37.914Z","metadata":{"doi":"10.25504/FAIRsharing.284kre","name":"The DNA Replication Origin Database","status":"ready","contacts":[{"contact_name":"Conrad A. Nieduszynski","contact_email":"conrad@oridb.org","contact_orcid":"0000-0003-2001-076X"}],"homepage":"http://cerevisiae.oridb.org/","citations":[],"identifier":1624,"description":"This database summarizes our knowledge of replication origins in the budding yeast Saccharomyces cerevisiae. Each proposed origin site has been assigned a Status (Confirmed, Likely, or Dubious) expressing the confidence that the site genuinely corresponds to an origin.","abbreviation":"OriDB","data_curation":{"url":"http://cerevisiae.oridb.org/help.php","type":"manual"},"support_links":[{"url":"http://cerevisiae.oridb.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cerevisiae.oridb.org/help.php","type":"Help documentation"},{"url":"http://pombe.oridb.org/help.php","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000080","bsg-d000080"],"name":"FAIRsharing record for: The DNA Replication Origin Database","abbreviation":"OriDB","url":"https://fairsharing.org/10.25504/FAIRsharing.284kre","doi":"10.25504/FAIRsharing.284kre","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database summarizes our knowledge of replication origins in the budding yeast Saccharomyces cerevisiae. Each proposed origin site has been assigned a Status (Confirmed, Likely, or Dubious) expressing the confidence that the site genuinely corresponds to an origin.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Genome"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":136,"pubmed_id":17065467,"title":"OriDB: a DNA replication origin database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl758","authors":"Nieduszynski CA., Hiraga S., Ak P., Benham CJ., Donaldson AD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl758","created_at":"2021-09-30T08:22:34.880Z","updated_at":"2021-09-30T08:22:34.880Z"},{"id":503,"pubmed_id":22121216,"title":"OriDB, the DNA replication origin database updated and extended.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1091","authors":"Siow CC., Nieduszynska SR., Müller CA., Nieduszynski CA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1091","created_at":"2021-09-30T08:23:14.677Z","updated_at":"2021-09-30T08:23:14.677Z"}],"licence_links":[{"licence_name":"OriDB Attribution required","licence_id":641,"licence_url":"http://cerevisiae.oridb.org/faq.php","link_id":123,"relation":"undefined"}],"grants":[{"id":256,"fairsharing_record_id":1624,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:24.004Z","updated_at":"2021-09-30T09:29:58.576Z","grant_id":495,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0416764","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":257,"fairsharing_record_id":1624,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:24.042Z","updated_at":"2021-09-30T09:29:36.787Z","grant_id":325,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G001596/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8203,"fairsharing_record_id":1624,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:30.156Z","updated_at":"2021-09-30T09:31:30.205Z","grant_id":1200,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E023754/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1637","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-31T17:59:41.385Z","metadata":{"doi":"10.25504/FAIRsharing.wv5q9d","name":"ProtoNet","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"proto@cs.huji.ac.il"}],"homepage":"http://www.protonet.cs.huji.ac.il/","citations":[],"identifier":1637,"description":"This resource is a hierarchical clustering of UniProt protein sequences into hierarchical trees. This resource allows for the study of sub-family and super-family of a protein, using UniRef50 clusters.","abbreviation":"ProtoNet","data_curation":{"type":"automated"},"support_links":[{"url":"http://www.protonet.cs.huji.ac.il/feedback.php","type":"Contact form"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[],"deprecation_date":"2023-01-30","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000093","bsg-d000093"],"name":"FAIRsharing record for: ProtoNet","abbreviation":"ProtoNet","url":"https://fairsharing.org/10.25504/FAIRsharing.wv5q9d","doi":"10.25504/FAIRsharing.wv5q9d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource is a hierarchical clustering of UniProt protein sequences into hierarchical trees. This resource allows for the study of sub-family and super-family of a protein, using UniRef50 clusters.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide property","Gene Ontology enrichment","Enzyme","Cross linking"],"taxonomies":["All"],"user_defined_tags":["Protein superfamily"],"countries":["Israel"],"publications":[{"id":131,"pubmed_id":12520020,"title":"ProtoNet: hierarchical classification of the protein space.","year":2003,"url":"http://doi.org/10.1093/nar/gkg096","authors":"Sasson O., Vaaknin A., Fleischer H., Portugaly E., Bilu Y., Linial N., Linial M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg096","created_at":"2021-09-30T08:22:34.356Z","updated_at":"2021-09-30T08:22:34.356Z"},{"id":1322,"pubmed_id":23563419,"title":"ProtoNet: charting the expanding universe of protein sequences.","year":2013,"url":"http://doi.org/10.1038/nbt.2553","authors":"Rappoport N,Linial N,Linial M","journal":"Nat Biotechnol","doi":"10.1038/nbt.2553","created_at":"2021-09-30T08:24:47.874Z","updated_at":"2021-09-30T08:24:47.874Z"},{"id":1456,"pubmed_id":18689824,"title":"Connect the dots: exposing hidden protein family connections from the entire sequence tree.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn301","authors":"Loewenstein Y., Linial M.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn301","created_at":"2021-09-30T08:25:02.727Z","updated_at":"2021-09-30T08:25:02.727Z"},{"id":1457,"pubmed_id":18586742,"title":"Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn174","authors":"Loewenstein Y., Portugaly E., Fromer M., Linial M.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn174","created_at":"2021-09-30T08:25:02.835Z","updated_at":"2021-09-30T08:25:02.835Z"},{"id":1936,"pubmed_id":18629007,"title":"Fishing with (Proto)Net-a principled approach to protein target selection.","year":2008,"url":"http://doi.org/10.1002/cfg.328","authors":"Linial M.,","journal":"Comp. Funct. Genomics","doi":"10.1002/cfg.328","created_at":"2021-09-30T08:25:57.919Z","updated_at":"2021-09-30T08:25:57.919Z"},{"id":2012,"pubmed_id":16672244,"title":"Functional annotation prediction: all for one and one for all.","year":2006,"url":"http://doi.org/10.1110/ps.062185706","authors":"Sasson O., Kaplan N., Linial M.,","journal":"Protein Sci.","doi":"10.1110/ps.062185706","created_at":"2021-09-30T08:26:06.682Z","updated_at":"2021-09-30T08:26:06.682Z"},{"id":2028,"pubmed_id":15596019,"title":"A functional hierarchical organization of the protein sequence space.","year":2004,"url":"http://doi.org/10.1186/1471-2105-5-196","authors":"Kaplan N., Friedlich M., Fromer M., Linial M.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-5-196","created_at":"2021-09-30T08:26:08.382Z","updated_at":"2021-09-30T08:26:08.382Z"},{"id":2030,"pubmed_id":15382232,"title":"A robust method to detect structural and functional remote homologues.","year":2004,"url":"http://doi.org/10.1002/prot.20235","authors":"Shachar O., Linial M.,","journal":"Proteins","doi":"10.1002/prot.20235","created_at":"2021-09-30T08:26:08.606Z","updated_at":"2021-09-30T08:26:08.606Z"},{"id":2031,"pubmed_id":22121228,"title":"ProtoNet 6.0: organizing 10 million protein sequences in a compact hierarchical family tree.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1027","authors":"Rappoport N,Karsenty S,Stern A,Linial N,Linial M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1027","created_at":"2021-09-30T08:26:08.755Z","updated_at":"2021-09-30T11:29:26.411Z"},{"id":2099,"pubmed_id":15608180,"title":"ProtoNet 4.0: a hierarchical classification of one million protein sequences.","year":2004,"url":"http://doi.org/10.1093/nar/gki007","authors":"Kaplan N., Sasson O., Inbar U., Friedlich M., Fromer M., Fleischer H., Portugaly E., Linial N., Linial M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki007","created_at":"2021-09-30T08:26:16.523Z","updated_at":"2021-09-30T08:26:16.523Z"}],"licence_links":[],"grants":[{"id":304,"fairsharing_record_id":1637,"organisation_id":1265,"relation":"funds","created_at":"2021-09-30T09:24:25.980Z","updated_at":"2021-09-30T09:24:25.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":1265,"name":"Horowitz Foundation for Social Policy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":308,"fairsharing_record_id":1637,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:26.139Z","updated_at":"2021-09-30T09:24:26.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":305,"fairsharing_record_id":1637,"organisation_id":1858,"relation":"funds","created_at":"2021-09-30T09:24:26.022Z","updated_at":"2021-09-30T09:24:26.022Z","grant_id":null,"is_lead":false,"saved_state":{"id":1858,"name":"Ministry of Defence, Tel Aviv, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":306,"fairsharing_record_id":1637,"organisation_id":1855,"relation":"funds","created_at":"2021-09-30T09:24:26.063Z","updated_at":"2021-09-30T09:24:26.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":1855,"name":"Minister of Science, Technology and Space (MOST), Tel Aviv, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":309,"fairsharing_record_id":1637,"organisation_id":2511,"relation":"maintains","created_at":"2021-09-30T09:24:26.181Z","updated_at":"2021-09-30T09:24:26.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":2511,"name":"School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":310,"fairsharing_record_id":1637,"organisation_id":2838,"relation":"funds","created_at":"2021-09-30T09:24:26.223Z","updated_at":"2021-09-30T09:24:26.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":2838,"name":"The Sudarsky Center for Computational Biology (SCCB) Hebrew University of Jerusalem","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":307,"fairsharing_record_id":1637,"organisation_id":1561,"relation":"funds","created_at":"2021-09-30T09:24:26.102Z","updated_at":"2021-09-30T09:32:22.953Z","grant_id":1594,"is_lead":false,"saved_state":{"id":1561,"name":"Israel Science Foundation, Israel","grant":"ISF 592/07","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1638","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T11:13:31.686Z","metadata":{"doi":"10.25504/FAIRsharing.3d4jx0","name":"Protein Structure Change Database","status":"deprecated","contacts":[{"contact_name":"Takayuki Amemiya","contact_email":"pscdb-admin@force.cs.is.nagoya-u.ac.jp"}],"homepage":"http://idp1.force.cs.is.nagoya-u.ac.jp/pscdb/","citations":[],"identifier":1638,"description":"The Protein Structural Change DataBase (PSCDB) presents the structural changes found in proteins, represented by pairs of ligand-free and ligand-bound structures of identical proteins, and links these changes to ligand-binding.","abbreviation":"PSCDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://idp1.force.cs.is.nagoya-u.ac.jp/pscdb/background_info.pdf","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2023-03-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000094","bsg-d000094"],"name":"FAIRsharing record for: Protein Structure Change Database","abbreviation":"PSCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3d4jx0","doi":"10.25504/FAIRsharing.3d4jx0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Structural Change DataBase (PSCDB) presents the structural changes found in proteins, represented by pairs of ligand-free and ligand-bound structures of identical proteins, and links these changes to ligand-binding.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12592}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme Commission number","Protein structure","Ligand","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":135,"pubmed_id":21376729,"title":"Classification and annotation of the relationship between protein structural change and ligand binding.","year":2011,"url":"http://doi.org/10.1016/j.jmb.2011.02.058","authors":"Amemiya T., Koike R., Fuchigami S., Ikeguchi M., Kidera A.,","journal":"J. Mol. Biol.","doi":"10.1016/j.jmb.2011.02.058","created_at":"2021-09-30T08:22:34.781Z","updated_at":"2021-09-30T08:22:34.781Z"},{"id":1556,"pubmed_id":22080505,"title":"PSCDB: a database for protein structural change upon ligand binding.","year":2011,"url":"http://doi.org/10.1093/nar/gkr966","authors":"Amemiya T,Koike R,Kidera A,Ota M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr966","created_at":"2021-09-30T08:25:14.500Z","updated_at":"2021-09-30T11:29:13.801Z"}],"licence_links":[],"grants":[{"id":311,"fairsharing_record_id":1638,"organisation_id":743,"relation":"maintains","created_at":"2021-09-30T09:24:26.263Z","updated_at":"2021-09-30T09:24:26.263Z","grant_id":null,"is_lead":false,"saved_state":{"id":743,"name":"Department of Supramolecular Biology, Graduate School of Nanobioscience, Yokohama City University, Yokohama, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1648","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:39:26.883Z","metadata":{"doi":"10.25504/FAIRsharing.zhwa8x","name":"Search Tool for Interactions of Chemicals","status":"ready","contacts":[{"contact_name":"Lars J. Jensen","contact_email":"jensen@embl.de"}],"homepage":"http://stitch.embl.de","citations":[],"identifier":1648,"description":"STITCH is a resource to explore known and predicted interactions of chemicals and proteins. Chemicals are linked to other chemicals and proteins by evidence derived from experiments, databases and the literature.","abbreviation":"STITCH","data_curation":{"type":"automated","notes":"Some data derived from curated data of various database"},"support_links":[{"url":"http://stitch.embl.de/cgi/help.pl?UserId=6WnBNmnMDECf\u0026sessionId=sN6Yw82egr3T","type":"Help documentation"},{"url":"http://stitch.embl.de/cgi/info.pl?UserId=6WnBNmnMDECf\u0026sessionId=sN6Yw82egr3T\u0026footer_active_subpage=faqs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012165","name":"re3data:r3d100012165","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007947","name":"SciCrunch:RRID:SCR_007947","portal":"SciCrunch"}],"data_access_condition":{"type":"partially open","notes":"Much of the data is freely available, but you need to login to obtain the whole database"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000104","bsg-d000104"],"name":"FAIRsharing record for: Search Tool for Interactions of Chemicals","abbreviation":"STITCH","url":"https://fairsharing.org/10.25504/FAIRsharing.zhwa8x","doi":"10.25504/FAIRsharing.zhwa8x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STITCH is a resource to explore known and predicted interactions of chemicals and proteins. Chemicals are linked to other chemicals and proteins by evidence derived from experiments, databases and the literature.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11764}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Computational biological predictions","Chemical entity","Molecular interaction","Small molecule","Protein","Literature curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":140,"pubmed_id":18084021,"title":"STITCH: interaction networks of chemicals and proteins.","year":2007,"url":"http://doi.org/10.1093/nar/gkm795","authors":"Kuhn M., von Mering C., Campillos M., Jensen LJ., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm795","created_at":"2021-09-30T08:22:35.305Z","updated_at":"2021-09-30T08:22:35.305Z"},{"id":141,"pubmed_id":19897548,"title":"STITCH 2: an interaction network database for small molecules and proteins.","year":2009,"url":"http://doi.org/10.1093/nar/gkp937","authors":"Kuhn M., Szklarczyk D., Franceschini A., Campillos M., von Mering C., Jensen LJ., Beyer A., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp937","created_at":"2021-09-30T08:22:35.406Z","updated_at":"2021-09-30T08:22:35.406Z"},{"id":1551,"pubmed_id":24293645,"title":"STITCH 4: integration of protein-chemical interactions with user data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1207","authors":"Kuhn M,Szklarczyk D,Pletscher-Frankild S,Blicher TH,von Mering C,Jensen LJ,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1207","created_at":"2021-09-30T08:25:13.744Z","updated_at":"2021-09-30T11:29:13.310Z"},{"id":1553,"pubmed_id":22075997,"title":"STITCH 3: zooming in on protein-chemical interactions.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1011","authors":"Kuhn M,Szklarczyk D,Franceschini A,von Mering C,Jensen LJ,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1011","created_at":"2021-09-30T08:25:14.191Z","updated_at":"2021-09-30T11:29:13.510Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":324,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":147,"relation":"undefined"}],"grants":[{"id":338,"fairsharing_record_id":1648,"organisation_id":2746,"relation":"maintains","created_at":"2021-09-30T09:24:27.574Z","updated_at":"2021-09-30T09:24:27.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":2746,"name":"The Biotechnology Center (BIOTEC), Technische Universitat Dresden, Dresden, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":342,"fairsharing_record_id":1648,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:24:27.859Z","updated_at":"2021-09-30T09:24:27.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":339,"fairsharing_record_id":1648,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:27.642Z","updated_at":"2021-09-30T09:31:45.536Z","grant_id":1314,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG KU 2796/2-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":337,"fairsharing_record_id":1648,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:24:27.508Z","updated_at":"2021-09-30T09:24:27.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":341,"fairsharing_record_id":1648,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:27.793Z","updated_at":"2021-09-30T09:24:27.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9299,"fairsharing_record_id":1648,"organisation_id":943,"relation":"maintains","created_at":"2022-04-11T12:07:28.778Z","updated_at":"2022-04-11T12:07:28.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":943,"name":"European Molecular Biology Organization","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9351,"fairsharing_record_id":1648,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.401Z","updated_at":"2022-04-11T12:07:32.419Z","grant_id":1737,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0313831D","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1673","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:23:45.781Z","metadata":{"doi":"10.25504/FAIRsharing.kq47fy","name":"SpliceDisease","status":"deprecated","homepage":"http://cmbi.bjmu.edu.cn/Sdisease","identifier":1673,"description":"The SpliceDisease database provides information linking RNA splicing to human disease, including the change of the nucleotide in the sequence, the location of the mutation on the gene, the reference Pubmed ID and detailed description for the relationship among gene mutations, splicing defects and diseases.","abbreviation":"SpliceDisease","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000129","bsg-d000129"],"name":"FAIRsharing record for: SpliceDisease","abbreviation":"SpliceDisease","url":"https://fairsharing.org/10.25504/FAIRsharing.kq47fy","doi":"10.25504/FAIRsharing.kq47fy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SpliceDisease database provides information linking RNA splicing to human disease, including the change of the nucleotide in the sequence, the location of the mutation on the gene, the reference Pubmed ID and detailed description for the relationship among gene mutations, splicing defects and diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["RNA splicing","Mutation analysis","Disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":173,"pubmed_id":22139928,"title":"SpliceDisease database: linking RNA splicing and disease.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1171","authors":"Wang J., Zhang J., Li K., Zhao W., Cui Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1171","created_at":"2021-09-30T08:22:38.922Z","updated_at":"2021-09-30T08:22:38.922Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1674","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:48.606Z","metadata":{"doi":"10.25504/FAIRsharing.a0k4cd","name":"TarBase","status":"ready","contacts":[{"contact_name":"Artemis Hatzigeorgiou","contact_email":"arhatzig@inf.uth.gr"}],"homepage":"http://www.microrna.gr/tarbase","citations":[{"doi":"10.1093/nar/gkx1141","pubmed_id":29156006,"publication_id":588}],"identifier":1674,"description":"DIANA-TarBase is a reference database that indexes experimentally-supported microRNA (miRNA) targets. It integrates information on cell-type specific miRNA–gene regulation and includes miRNA-binding locations. The target data provided by DIANA-TarBase is supported by information on methodologies, cell types/tissues and experimental conditions.","abbreviation":"TarBase","data_curation":{"type":"manual","notes":"This database contains experimentally supporter miRNA-gene interactions."},"support_links":[{"url":"http://diana.imis.athena-innovation.gr/DianaTools/index.php?r=site/contact","name":"DIANA Contact Form","type":"Contact form"},{"url":"http://carolina.imis.athena-innovation.gr/diana_tools/web/index.php?r=tarbasev8%2Fhelp","name":"Help","type":"Help documentation"},{"url":"http://carolina.imis.athena-innovation.gr/diana_tools/web/index.php?r=tarbasev8%2Fstatistics","name":"Statistics","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000130","bsg-d000130"],"name":"FAIRsharing record for: TarBase","abbreviation":"TarBase","url":"https://fairsharing.org/10.25504/FAIRsharing.a0k4cd","doi":"10.25504/FAIRsharing.a0k4cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DIANA-TarBase is a reference database that indexes experimentally-supported microRNA (miRNA) targets. It integrates information on cell-type specific miRNA–gene regulation and includes miRNA-binding locations. The target data provided by DIANA-TarBase is supported by information on methodologies, cell types/tissues and experimental conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Experimental measurement","Bibliography","Free text","Gene silencing by miRNA (microRNA)","Untranslated RNA","Protocol","Micro RNA","Experimentally determined","Gene"],"taxonomies":["Arabidopsis thaliana","Bombyx mori","Bos taurus","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Gallus gallus","Glycine max","Homo sapiens","Human cytomegalovirus","KSHV","Medicago truncatula","Mus musculus","Oryza sativa","Ovis aries","Physcomitrella patens","Rattus norvegicus","Vitis vinifera","Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":["Experimental condition"],"countries":["Greece"],"publications":[{"id":588,"pubmed_id":29156006,"title":"DIANA-TarBase v8: a decade-long collection of experimentally supported miRNA-gene interactions.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1141","authors":"Karagkouni D,Paraskevopoulou MD,Chatzopoulos S,Vlachos IS,Tastsoglou S,Kanellos I,Papadimitriou D,Kavakiotis I,Maniou S,Skoufos G,Vergoulis T,Dalamagas T,Hatzigeorgiou AG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1141","created_at":"2021-09-30T08:23:24.424Z","updated_at":"2021-09-30T11:28:47.433Z"},{"id":1604,"pubmed_id":18957447,"title":"The database of experimentally supported targets: a functional update of TarBase.","year":2008,"url":"http://doi.org/10.1093/nar/gkn809","authors":"Papadopoulos GL., Reczko M., Simossis VA., Sethupathy P., Hatzigeorgiou AG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn809","created_at":"2021-09-30T08:25:19.820Z","updated_at":"2021-09-30T08:25:19.820Z"},{"id":1605,"pubmed_id":16373484,"title":"TarBase: A comprehensive database of experimentally supported animal microRNA targets.","year":2005,"url":"http://doi.org/10.1261/rna.2239606","authors":"Sethupathy P., Corda B., Hatzigeorgiou AG.,","journal":"RNA","doi":"10.1261/rna.2239606","created_at":"2021-09-30T08:25:19.937Z","updated_at":"2021-09-30T08:25:19.937Z"},{"id":1613,"pubmed_id":25416803,"title":"DIANA-TarBase v7.0: indexing more than half a million experimentally supported miRNA:mRNA interactions.","year":2014,"url":"http://doi.org/10.1093/nar/gku1215","authors":"Vlachos IS,Paraskevopoulou MD,Karagkouni D,Georgakilas G,Vergoulis T,Kanellos I,Anastasopoulos IL,Maniou S,Karathanou K,Kalfakakou D,Fevgas A,Dalamagas T,Hatzigeorgiou AG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1215","created_at":"2021-09-30T08:25:20.776Z","updated_at":"2021-09-30T11:29:15.985Z"}],"licence_links":[{"licence_name":"DIANA-TarBase Licence Specifications","licence_id":238,"licence_url":"http://carolina.imis.athena-innovation.gr/diana_tools/web/index.php?r=tarbasev8%2Fdownloaddataform","link_id":1708,"relation":"undefined"}],"grants":[{"id":419,"fairsharing_record_id":1674,"organisation_id":1379,"relation":"maintains","created_at":"2021-09-30T09:24:31.085Z","updated_at":"2021-09-30T09:24:31.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":1379,"name":"Institute for Biomedical Informatics (IBI), University of Pennsylvania, Philadelphia, PA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":421,"fairsharing_record_id":1674,"organisation_id":759,"relation":"maintains","created_at":"2021-09-30T09:24:31.160Z","updated_at":"2021-09-30T09:24:31.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":759,"name":"Diana Lab Group, Greece","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":416,"fairsharing_record_id":1674,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:24:30.971Z","updated_at":"2021-09-30T09:24:30.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":417,"fairsharing_record_id":1674,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:31.002Z","updated_at":"2021-09-30T09:24:31.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":418,"fairsharing_record_id":1674,"organisation_id":269,"relation":"maintains","created_at":"2021-09-30T09:24:31.043Z","updated_at":"2021-09-30T09:24:31.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":269,"name":"Biomedical Sciences Research Center Alexander Fleming (BSRC), Vari, Greece","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":420,"fairsharing_record_id":1674,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:31.123Z","updated_at":"2021-09-30T09:24:31.123Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1677","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:41.369Z","metadata":{"doi":"10.25504/FAIRsharing.t3snf","name":"Gene Wiki","status":"ready","contacts":[{"contact_name":"Benjamin M Good","contact_email":"bgood@scripps.edu"}],"homepage":"http://en.wikipedia.org/wiki/Portal:Gene_Wiki","citations":[],"identifier":1677,"description":"The goal of the Gene Wiki is to apply community intelligence to the annotation of gene and protein function. The Gene Wiki is an informal collection of pages on human genes and proteins, and this effort to develop these pages is tightly coordinated with the Molecular and Cellular Biology Wikiproject. Our specific aims are summarized as follows: To provide a well written and informative Wikipedia article for every notable human gene; To invite participation by interested lay editors, students, professionals, and academics from around the world; To integrate Gene Wiki articles with existing Wikipedia content through the use of internal wiki links increasing the value of both.","abbreviation":"Gene Wiki","data_curation":{"type":"manual","notes":"community curation"},"support_links":[{"url":"https://en.wikipedia.org/wiki/Portal:Gene_Wiki#Gene_Wiki_Editing_FAQ","type":"Wikipedia"},{"url":"https://en.wikipedia.org/wiki/Portal:Gene_Wiki/Discussion","type":"Wikipedia"},{"url":"https://twitter.com/GeneWikiPulse","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Gene_Wiki","type":"Wikipedia"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"url":"https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Molecular_Biology/Genetics/Gene_Wiki","type":"open","notes":"From Wikipedia, the free encyclopedia"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000133","bsg-d000133"],"name":"FAIRsharing record for: Gene Wiki","abbreviation":"Gene Wiki","url":"https://fairsharing.org/10.25504/FAIRsharing.t3snf","doi":"10.25504/FAIRsharing.t3snf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the Gene Wiki is to apply community intelligence to the annotation of gene and protein function. The Gene Wiki is an informal collection of pages on human genes and proteins, and this effort to develop these pages is tightly coordinated with the Molecular and Cellular Biology Wikiproject. Our specific aims are summarized as follows: To provide a well written and informative Wikipedia article for every notable human gene; To invite participation by interested lay editors, students, professionals, and academics from around the world; To integrate Gene Wiki articles with existing Wikipedia content through the use of internal wiki links increasing the value of both.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12607}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Sequence annotation","Genome annotation","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1872,"pubmed_id":22075991,"title":"The Gene Wiki in 2011: community intelligence applied to human gene annotation.","year":2011,"url":"http://doi.org/10.1093/nar/gkr925","authors":"Good BM., Clarke EL., de Alfaro L., Su AI.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr925","created_at":"2021-09-30T08:25:50.565Z","updated_at":"2021-09-30T08:25:50.565Z"},{"id":1873,"pubmed_id":19755503,"title":"The Gene Wiki: community intelligence applied to human gene annotation.","year":2009,"url":"http://doi.org/10.1093/nar/gkp760","authors":"Huss JW., Lindenbaum P., Martone M., Roberts D., Pizarro A., Valafar F., Hogenesch JB., Su AI.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp760","created_at":"2021-09-30T08:25:50.682Z","updated_at":"2021-09-30T08:25:50.682Z"},{"id":1874,"pubmed_id":26989148,"title":"Wikidata as a semantic framework for the Gene Wiki initiative.","year":2016,"url":"http://doi.org/10.1093/database/baw015","authors":"Burgstaller-Muehlbacher S,Waagmeester A,Mitraka E,Turner J,Putman T,Leong J,Naik C,Pavlidis P,Schriml L,Good BM,Su AI","journal":"Database (Oxford)","doi":"10.1093/database/baw015","created_at":"2021-09-30T08:25:50.799Z","updated_at":"2021-09-30T08:25:50.799Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":235,"relation":"undefined"}],"grants":[{"id":430,"fairsharing_record_id":1677,"organisation_id":1117,"relation":"maintains","created_at":"2021-09-30T09:24:31.438Z","updated_at":"2021-09-30T09:24:31.438Z","grant_id":null,"is_lead":false,"saved_state":{"id":1117,"name":"Genomics Institute of the Novartis Research Foundation, San Diego, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":428,"fairsharing_record_id":1677,"organisation_id":729,"relation":"maintains","created_at":"2021-09-30T09:24:31.383Z","updated_at":"2021-09-30T09:24:31.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":729,"name":"Department of Molecular Biology, The Scripps Research Institute, La Jolla, California, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":431,"fairsharing_record_id":1677,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:31.464Z","updated_at":"2021-09-30T09:24:31.464Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":429,"fairsharing_record_id":1677,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:31.415Z","updated_at":"2021-09-30T09:32:22.497Z","grant_id":1590,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1R01GM083924-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1678","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:35.277Z","metadata":{"doi":"10.25504/FAIRsharing.dd4j8j","name":"Ebola and Hemorrhagic Fever Virus Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"hfv-info@lanl.gov"}],"homepage":"http://hfv.lanl.gov/content/index","citations":[],"identifier":1678,"description":"The Ebola and Hemorrhagic Fever Virus Database stems from the Hemorrhagic Fever Viruses (HFV) Database Project founded by Dr. Carla Kuiken in 2009 at the Los Alamos National Laboratory (LANL). The HFV Database was modeled on the Los Alamos HIV Database, led by Dr. Bette Korber, and translated much of its tools, infrastructure and philosophy from HIV to HFV.","abbreviation":"HFV Database","data_curation":{"type":"automated"},"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000134","bsg-d000134"],"name":"FAIRsharing record for: Ebola and Hemorrhagic Fever Virus Database","abbreviation":"HFV Database","url":"https://fairsharing.org/10.25504/FAIRsharing.dd4j8j","doi":"10.25504/FAIRsharing.dd4j8j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ebola and Hemorrhagic Fever Virus Database stems from the Hemorrhagic Fever Viruses (HFV) Database Project founded by Dr. Carla Kuiken in 2009 at the Los Alamos National Laboratory (LANL). The HFV Database was modeled on the Los Alamos HIV Database, led by Dr. Bette Korber, and translated much of its tools, infrastructure and philosophy from HIV to HFV.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunology","Life Science"],"domains":["Sequence alignment","Viral sequence"],"taxonomies":["Nairovirus","Viruses","Zika virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1625,"pubmed_id":22064861,"title":"The LANL hemorrhagic fever virus database, a new platform for analyzing biothreat viruses.","year":2011,"url":"http://doi.org/10.1093/nar/gkr898","authors":"Kuiken C., Thurmond J., Dimitrijevic M., Yoon H.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr898","created_at":"2021-09-30T08:25:22.145Z","updated_at":"2021-09-30T08:25:22.145Z"}],"licence_links":[],"grants":[{"id":432,"fairsharing_record_id":1678,"organisation_id":2930,"relation":"funds","created_at":"2021-09-30T09:24:31.493Z","updated_at":"2021-09-30T09:24:31.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":2930,"name":"United States Defence Threat Reduction Agency","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9017,"fairsharing_record_id":1678,"organisation_id":1728,"relation":"maintains","created_at":"2022-03-24T09:53:41.069Z","updated_at":"2022-03-24T09:53:41.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory (LANL), Los Alamos, NM, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":9416,"fairsharing_record_id":1678,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.798Z","updated_at":"2022-04-11T12:07:36.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1679","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:33:42.060Z","metadata":{"doi":"10.25504/FAIRsharing.tber4e","name":"Human Integrated Pathway Database","status":"deprecated","contacts":[{"contact_name":"Sanghyuk Lee","contact_email":"sanghyuk@kribb.re.kr"}],"homepage":"http://hipathdb.kobic.re.kr","identifier":1679,"description":"Human Integrated Pathway Database (hiPathDB) provides two different types of integration. The pathway-level integration is a simple collection of individual pathways as described in the original database. The entity-level integration creates a super pathway that merged all pathways by unifying redundant components.","abbreviation":"hiPathDB","data_curation":{"type":"not found"},"support_links":[{"url":"hipathdb-help@kobic.kr","type":"Support email"},{"url":"http://hipathdb.kobic.re.kr/tutorial.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000135","bsg-d000135"],"name":"FAIRsharing record for: Human Integrated Pathway Database","abbreviation":"hiPathDB","url":"https://fairsharing.org/10.25504/FAIRsharing.tber4e","doi":"10.25504/FAIRsharing.tber4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Human Integrated Pathway Database (hiPathDB) provides two different types of integration. The pathway-level integration is a simple collection of individual pathways as described in the original database. The entity-level integration creates a super pathway that merged all pathways by unifying redundant components.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Molecular interaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":180,"pubmed_id":22123737,"title":"hiPathDB: a human-integrated pathway database with facile visualization.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1127","authors":"Yu N., Seo J., Rho K., Jang Y., Park J., Kim WK., Lee S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1127","created_at":"2021-09-30T08:22:39.672Z","updated_at":"2021-09-30T08:22:39.672Z"}],"licence_links":[],"grants":[{"id":436,"fairsharing_record_id":1679,"organisation_id":974,"relation":"funds","created_at":"2021-09-30T09:24:31.631Z","updated_at":"2021-09-30T09:24:31.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":974,"name":"Ewha Womans University","types":["University"],"is_lead":false,"relation":"funds"}},{"id":437,"fairsharing_record_id":1679,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:24:31.654Z","updated_at":"2021-09-30T09:29:46.696Z","grant_id":398,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"R15-2006-020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":435,"fairsharing_record_id":1679,"organisation_id":1647,"relation":"funds","created_at":"2021-09-30T09:24:31.601Z","updated_at":"2021-09-30T09:24:31.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1647,"name":"Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, South Korea","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":438,"fairsharing_record_id":1679,"organisation_id":1646,"relation":"maintains","created_at":"2021-09-30T09:24:31.683Z","updated_at":"2021-09-30T09:24:31.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":1646,"name":"Korean Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7921,"fairsharing_record_id":1679,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:29:48.176Z","updated_at":"2021-09-30T09:29:48.226Z","grant_id":411,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0019745","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8232,"fairsharing_record_id":1679,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:31:39.356Z","updated_at":"2021-09-30T09:31:39.403Z","grant_id":1269,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0002321","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1651","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:33.097Z","metadata":{"doi":"10.25504/FAIRsharing.s22qdj","name":"UCSC Genome Browser database","status":"ready","contacts":[{"contact_name":"Public Mailing List","contact_email":"genome@soe.ucsc.edu","contact_orcid":null},{"contact_name":"Private Internal Mailing List","contact_email":"genome-www@soe.ucsc.edu","contact_orcid":null}],"homepage":"http://genome.ucsc.edu","citations":[],"identifier":1651,"description":"Genome assemblies and aligned annotations for a wide range of vertebrates and model organisms, along with an integrated tool set for visualizing, comparing, analyzing and sharing both publicly available and user-generated genomic datasets.","abbreviation":null,"data_curation":{"url":"https://genome.ucsc.edu/goldenPath/help/covidBrowserIntro.html","type":"manual/automated","notes":"Curate a list of user-submitted Public Track Hubs is displayed."},"support_links":[{"url":"genome@soe.ucsc.edu","type":"Support email"},{"url":"http://genome.ucsc.edu/FAQ/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/a/soe.ucsc.edu/forum/?hl=en#!forum/genome","type":"Forum"},{"url":"http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCQnUJepyNOw0p8s2otX4RYQ/videos","name":"Youtube channel","type":"Video"},{"url":"http://genome.ucsc.edu/training.html","type":"Training documentation"},{"url":"https://twitter.com/GenomeBrowser","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/UCSC_Genome_Browser","type":"Wikipedia"},{"url":"http://genome.ucsc.edu/contacts.html","name":"Contact Us link","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://genome.ucsc.edu/cgi-bin/hgBlat","name":"Blat"},{"url":"http://genome.ucsc.edu/cgi-bin/hgPcr","name":"In Silico PCR"},{"url":"http://genome.ucsc.edu/cgi-bin/hgGenome","name":"Genome Graphs"},{"url":"http://genome.ucsc.edu/cgi-bin/hgVisiGene","name":"VisiGene"},{"url":"http://genome.ucsc.edu/cgi-bin/hgLiftOver","name":"liftOver"},{"url":"http://genome.ucsc.edu/cgi-bin/hgVai","name":"Variant Annotation Integrator (VAI)"},{"url":"http://genome.ucsc.edu/cgi-bin/hgIntegrator","name":"Data Integrator"},{"url":"http://genome.ucsc.edu/goldenpath/help/gbib.html","name":"Genome Browser in a Box (virtual machine)"},{"url":"http://genome.ucsc.edu/goldenpath/help/gbic.html","name":"Genome Browser in the Cloud (installation script)"},{"url":"http://api.genome.ucsc.edu/","name":"REST API data interface"},{"url":"http://genome.ucsc.edu/cgi-bin/hgGeneGraph","name":"Gene interactions and pathways from curated databases and text-mining"},{"url":"http://genome.ucsc.edu/cgi-bin/hgPhyloPlace","name":"UShER: Ultrafast Sample placement on Existing tRee"},{"url":"https://cells.ucsc.edu/","name":"UCSC Cell Browser"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010243","name":"re3data:r3d100010243","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005780","name":"SciCrunch:RRID:SCR_005780","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"http://genome.ucsc.edu/goldenPath/credits.html","name":"Credits"},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000107","bsg-d000107"],"name":"FAIRsharing record for: UCSC Genome Browser database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.s22qdj","doi":"10.25504/FAIRsharing.s22qdj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genome assemblies and aligned annotations for a wide range of vertebrates and model organisms, along with an integrated tool set for visualizing, comparing, analyzing and sharing both publicly available and user-generated genomic datasets.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11052},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12297},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12597},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16184}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Immunology","Life Science","Transcriptomics","Comparative Genomics","Microbiology"],"domains":["Expression data","DNA sequence data","Annotation","Sequence annotation","Gene prediction","Sequence composition, complexity and repeats","DNA structural variation","Deoxyribonucleic acid","Ribonucleic acid","Regulation of gene expression","Biological regulation","Genetic polymorphism","Sequence alignment","DNA microarray","Disease phenotype","Sequence","Messenger RNA","Gene","Genome","Regulatory region","Indel","Genotype"],"taxonomies":["Ailuropoda melanoleuca","Alligator Mississippiensis","Balaenoptera acutorostrata scammoni","Bos taurus","Caenorhabditis elegans","Callithrix jacchus","Canis familiaris","Cavia porcellus","Ceratotherium simum","Choloepus hoffmanni","Cricetulus griseus","Danio rerio","Dasypus novemcinctus","Dipodomys ordii","Echinops telfairi","Equus caballus","Felis catus","Gallus gallus","Gorilla gorilla gorilla","Heterocephalus glaber","Homo sapiens","Loxodonta africana","Macaca mulatta","Macropus eugenii","Microcebus murinus","Monodelphis domestica","Mus musculus","Mustela putorius furo","Myotis lucifugus","Nomascus leucogenys","Ochotona princeps","Ornithorhynchus anatinus","Oryctolagus cuniculus","Oryzias latipes","Otolemur garnettii","Ovis aries","Pan paniscus","Pan troglodytes","Papio anubis","Pongo pygmaeus abelii","Procavia capensis","Pteropus vampyrus","Rattus norvegicus","Saimiri boliviensis","Sarcophilus harrisii","SARS-CoV-2","Sorex araneus","Spermophilus tridecemlineatus","Sus scrofa","Takifugu rubripes","Tarsius syrichta","Tetraodon nigroviridis","Trichechus manatus latirostris","Tupaia belangeri","Tursiops truncatus","Vicugna pacos","Xenopus tropicalis"],"user_defined_tags":["COVID-19","Uniqueness mapping"],"countries":["United States"],"publications":[{"id":202,"pubmed_id":14681465,"title":"The UCSC Table Browser data retrieval tool.","year":2003,"url":"http://doi.org/10.1093/nar/gkh103","authors":"Karolchik D., Hinrichs AS., Furey TS., Roskin KM., Sugnet CW., Haussler D., Kent WJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh103","created_at":"2021-09-30T08:22:42.065Z","updated_at":"2021-09-30T08:22:42.065Z"},{"id":203,"pubmed_id":11932250,"title":"BLAT--the BLAST-like alignment tool.","year":2002,"url":"http://doi.org/10.1101/gr.229202","authors":"Kent WJ.,","journal":"Genome Res.","doi":"10.1101/gr.229202","created_at":"2021-09-30T08:22:42.164Z","updated_at":"2021-09-30T08:22:42.164Z"},{"id":594,"pubmed_id":15867434,"title":"Exploring relationships and mining data with the UCSC Gene Sorter","year":2005,"url":"http://doi.org/10.1101/gr.3694705","authors":"Kent WJ, Hsu F, Karolchik D, Kuhn RM, Clawson H, Trumbower H, Haussler D","journal":"Genome Res.","doi":"10.1101/gr.3694705","created_at":"2021-09-30T08:23:25.168Z","updated_at":"2021-09-30T08:23:25.168Z"},{"id":951,"pubmed_id":23155063,"title":"The UCSC Genome Browser database: extensions and updates 2013","year":2012,"url":"http://doi.org/10.1093/nar/gks1048","authors":"Meyer LR, Zweig AS, Hinrichs AS, Karolchik D, Kuhn RM, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1048","created_at":"2021-09-30T08:24:05.228Z","updated_at":"2021-09-30T11:28:55.884Z"},{"id":952,"pubmed_id":23255150,"title":"The UCSC Genome Browser","year":2012,"url":"http://doi.org/10.1002/0471250953.bi0104s40","authors":"Karolchik D, Hinrichs AS, Kent WJ","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0104s40","created_at":"2021-09-30T08:24:05.321Z","updated_at":"2021-09-30T08:24:05.321Z"},{"id":1010,"pubmed_id":27899642,"title":"The UCSC Genome Browser database: 2017 update.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1134","authors":"Tyner C, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1134","created_at":"2021-09-30T08:24:11.831Z","updated_at":"2021-09-30T11:28:56.717Z"},{"id":1301,"pubmed_id":23193274,"title":"ENCODE data in the UCSC Genome Browser: year 5 update","year":2012,"url":"http://doi.org/10.1093/nar/gks1172","authors":"Rosenbloom KR, Sloan CA, Malladi VS, Dreszer TR, Learned K, Kirkup VM, Wong MC, Maddren M, Fang R, Heitner SG, Lee BT, Barber GP, Harte RA, Diekhans M, Long JC, Wilder SP, Zweig AS, Karolchik D, Kuhn RM, Haussler D, Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1172","created_at":"2021-09-30T08:24:45.301Z","updated_at":"2021-09-30T08:24:45.301Z"},{"id":2696,"pubmed_id":33024970,"title":"Ultrafast Sample Placement on Existing Trees (UShER) Empowers Real-Time Phylogenetics for the SARS-CoV-2 Pandemic.","year":2020,"url":"http://doi.org/2020.09.26.314971","authors":"Turakhia Y,Thornlow B,Hinrichs AS,De Maio N,Gozashti L,Lanfear R,Haussler D,Corbett-Detig R","journal":"BioRxiv","doi":"2020.09.26.314971","created_at":"2021-09-30T08:27:31.080Z","updated_at":"2021-09-30T11:28:40.294Z"},{"id":2700,"pubmed_id":32266012,"title":"The UCSC repeat browser allows discovery and visualization of evolutionary conflict across repeat families.","year":2020,"url":"http://doi.org/10.1186/s13100-020-00208-w","authors":"Fernandes JD,Zamudio-Hurtado A,Clawson H,Kent WJ,Haussler D,Salama SR,Haeussler M","journal":"Mob DNA","doi":"10.1186/s13100-020-00208-w","created_at":"2021-09-30T08:27:31.647Z","updated_at":"2021-09-30T08:27:31.647Z"},{"id":2738,"pubmed_id":33221922,"title":"The UCSC Genome Browser database: 2021 update.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1070","authors":"Navarro Gonzalez J,Zweig AS,Speir ML,Schmelter D,Rosenbloom KR,Raney BJ,Powell CC,Nassar LR,Maulding ND,Lee CM,Lee BT,Hinrichs AS,Fyfe AC,Fernandes JD,Diekhans M,Clawson H,Casper J,Benet-Pages A,Barber GP,Haussler D,Kuhn RM,Haeussler M,Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1070","created_at":"2021-09-30T08:27:36.286Z","updated_at":"2021-09-30T11:29:42.245Z"},{"id":2739,"pubmed_id":32908258,"title":"The UCSC SARS-CoV-2 Genome Browser.","year":2020,"url":"http://doi.org/10.1038/s41588-020-0700-8","authors":"Fernandes JD,Hinrichs AS,Clawson H,Gonzalez JN,Lee BT,Nassar LR,Raney BJ,Rosenbloom KR,Nerli S,Rao AA,Schmelter D,Fyfe A,Maulding N,Zweig AS,Lowe TM,Ares M Jr,Corbet-Detig R,Kent WJ,Haussler D,Haeussler M","journal":"Nat Genet","doi":"10.1038/s41588-020-0700-8","created_at":"2021-09-30T08:27:36.404Z","updated_at":"2021-09-30T08:27:36.404Z"},{"id":2875,"pubmed_id":12045153,"title":"The human genome browser at UCSC","year":2002,"url":"http://doi.org/10.1101/gr.229102","authors":"Kent WJ., Sugnet CW., Furey TS., Roskin KM., Pringle TH., Zahler AM., Haussler D.,","journal":"Genome Res.","doi":"10.1101/gr.229102","created_at":"2021-09-30T08:27:53.947Z","updated_at":"2021-09-30T08:27:53.947Z"},{"id":2876,"pubmed_id":11237011,"title":"Initial sequencing and analysis of the human genome","year":2001,"url":"http://doi.org/10.1038/35057062","authors":"Lander ES., Linton LM., Birren B., Nusbaum C., Zody MC., Baldwin J., Devon K., Dewar K., Doyle M., FitzHugh W., Funke R. et al.","journal":"Nature","doi":"10.1038/35057062","created_at":"2021-09-30T08:27:54.057Z","updated_at":"2021-09-30T08:27:54.057Z"},{"id":2877,"pubmed_id":11544197,"title":"Assembly of the working draft of the human genome with GigAssembler.","year":2001,"url":"http://doi.org/10.1101/gr.183201","authors":"Kent WJ., Haussler D.,","journal":"Genome Res.","doi":"10.1101/gr.183201","created_at":"2021-09-30T08:27:54.165Z","updated_at":"2021-09-30T08:27:54.165Z"},{"id":2878,"pubmed_id":26590259,"title":"The UCSC Genome Browser database: 2016 update.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1275","authors":"Speir ML,Zweig AS,Rosenbloom KR,Raney BJ,Paten B,Nejad P,Lee BT,Learned K,Karolchik D,Hinrichs AS,Heitner S,Harte RA,Haeussler M,Guruvadoo L,Fujita PA,Eisenhart C,Diekhans M,Clawson H,Casper J,Barber GP,Haussler D,Kuhn RM,Kent WJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1275","created_at":"2021-09-30T08:27:54.279Z","updated_at":"2021-09-30T11:29:47.779Z"},{"id":2879,"pubmed_id":25428374,"title":"The UCSC Genome Browser database: 2015 update.","year":2014,"url":"http://doi.org/10.1093/nar/gku1177","authors":"Rosenbloom KR et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1177","created_at":"2021-09-30T08:27:54.395Z","updated_at":"2021-09-30T11:29:47.931Z"},{"id":2880,"pubmed_id":31691824,"title":"UCSC Genome Browser enters 20th year.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1012","authors":"Lee CM, Barber GP, Casper J, Clawson H, Diekhans M, Gonzalez JN, Hinrichs AS, Lee BT, Nassar LR, Powell CC, Raney BJ, Rosenbloom KR, Schmelter D, Speir ML, Zweig AS, Haussler D, Haeussler M, Kuhn RM, Kent WJ.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkz1012","created_at":"2021-09-30T08:27:54.514Z","updated_at":"2021-09-30T08:27:54.514Z"},{"id":2881,"pubmed_id":30407534,"title":"The UCSC Genome Browser database: 2019 update","year":2018,"url":"http://doi.org/10.1093/nar/gky1095","authors":"Haeussler M, Zweig AS, Tyner C, Speir ML, Rosenbloom KR, Raney BJ, Lee CM, Lee BT, Hinrichs AS, Gonzalez JN, Gibson D, Diekhans M, Clawson H, Casper J, Barber GP, Haussler D, Kuhn RM, Kent WJ.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gky1095","created_at":"2021-09-30T08:27:54.673Z","updated_at":"2021-09-30T08:27:54.673Z"},{"id":2882,"pubmed_id":29106570,"title":"The UCSC Genome Browser database: 2018 update.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1020","authors":"Casper J, et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkx1020","created_at":"2021-09-30T08:27:54.798Z","updated_at":"2021-09-30T08:27:54.798Z"},{"id":3128,"pubmed_id":34718705,"title":"The UCSC Genome Browser database: 2022 update.","year":2021,"url":"https://doi.org/10.1093/nar/gkab959","authors":"Lee BT, Barber GP, Benet-Pagès A, Casper J, Clawson H, Diekhans M, Fischer C, Gonzalez JN, Hinrichs AS, Lee CM, Muthuraman P, Nassar LR, Nguy B, Pereira T, Perez G, Raney BJ, Rosenbloom KR, Schmelter D, Speir ML, Wick BD, Zweig AS, Haussler D, Kuhn RM, Haeussler M, Kent WJ","journal":"Nucleic acids research","doi":"10.1093/nar/gkab959","created_at":"2021-11-08T21:48:40.545Z","updated_at":"2021-11-08T21:48:40.545Z"}],"licence_links":[{"licence_name":"UCSC Genome Browser Code - License required for commercial use","licence_id":801,"licence_url":"http://genome.ucsc.edu/license/","link_id":265,"relation":"undefined"}],"grants":[{"id":347,"fairsharing_record_id":1651,"organisation_id":1118,"relation":"maintains","created_at":"2021-09-30T09:24:28.251Z","updated_at":"2021-09-30T09:24:28.251Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":348,"fairsharing_record_id":1651,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:28.317Z","updated_at":"2021-09-30T09:24:28.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1652","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:38.198Z","metadata":{"doi":"10.25504/FAIRsharing.ne6jza","name":"zfishbook","status":"ready","contacts":[{"contact_name":"Karl Clark","contact_email":"clark.karl@mayo.edu","contact_orcid":"0000-0002-9637-0967"}],"homepage":"http://www.zfishbook.org","citations":[],"identifier":1652,"description":"Zfishbook is a real-time database of transposon-labeled mutants in zebrafish. This resource provides services for any size of GBT mutagenesis projects on zebrafish to encourage collaboration in the research community.","abbreviation":"zfishbook","data_curation":{"url":"https://www.zfishmeta.org/","type":"manual","notes":"Consider registering to help annotate your favorite tissues and expression domains."},"support_links":[{"url":"http://www.zfishbook.org/profiles.php?uid=2","type":"Contact form"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=newUserTutorialsDetails","type":"Training documentation"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=newUserTutorialsDetails","type":"Training documentation"},{"url":"http://www.zfishbook.org/staticpages/index.php?page=newUserTutorialsDetails#registration","type":"Training documentation"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000108","bsg-d000108"],"name":"FAIRsharing record for: zfishbook","abbreviation":"zfishbook","url":"https://fairsharing.org/10.25504/FAIRsharing.ne6jza","doi":"10.25504/FAIRsharing.ne6jza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Zfishbook is a real-time database of transposon-labeled mutants in zebrafish. This resource provides services for any size of GBT mutagenesis projects on zebrafish to encourage collaboration in the research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Life Science"],"domains":["Expression data","Transposon integration","Phenotype"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":168,"pubmed_id":20528262,"title":"SCORE imaging: specimen in a corrected optical rotational enclosure.","year":2010,"url":"http://doi.org/10.1089/zeb.2010.0660","authors":"Petzold AM., Bedell VM., Boczek NJ., Essner JJ., Balciunas D., Clark KJ., Ekker SC.,","journal":"Zebrafish","doi":"10.1089/zeb.2010.0660","created_at":"2021-09-30T08:22:38.448Z","updated_at":"2021-09-30T08:22:38.448Z"},{"id":169,"pubmed_id":19858493,"title":"Nicotine response genetics in the zebrafish.","year":2009,"url":"http://doi.org/10.1073/pnas.0908247106","authors":"Petzold AM., Balciunas D., Sivasubbu S., Clark KJ., Bedell VM., Westcot SE., Myers SR., Moulder GL., Thomas MJ., Ekker SC.,","journal":"Proc. Natl. Acad. Sci. U.S.A.","doi":"10.1073/pnas.0908247106","created_at":"2021-09-30T08:22:38.539Z","updated_at":"2021-09-30T08:22:38.539Z"},{"id":1517,"pubmed_id":21552255,"title":"In vivo protein trapping produces a functional expression codex of the vertebrate proteome.","year":2011,"url":"http://doi.org/10.1038/nmeth.1606","authors":"Clark KJ., Balciunas D., Pogoda HM., Ding Y., Westcot SE., Bedell VM., Greenwood TM., Urban MD., Skuster KJ., Petzold AM., Ni J., Nielsen AL., Patowary A., Scaria V., Sivasubbu S., Xu X., Hammerschmidt M., Ekker SC.,","journal":"Nat. Methods","doi":"10.1038/nmeth.1606","created_at":"2021-09-30T08:25:09.802Z","updated_at":"2021-09-30T08:25:09.802Z"},{"id":1518,"pubmed_id":16859902,"title":"Gene-breaking transposon mutagenesis reveals an essential role for histone H2afza in zebrafish larval development.","year":2006,"url":"http://doi.org/10.1016/j.mod.2006.06.002","authors":"Sivasubbu S., Balciunas D., Davidson AE., Pickart MA., Hermanson SB., Wangensteen KJ., Wolbrink DC., Ekker SC.,","journal":"Mech. Dev.","doi":"10.1016/j.mod.2006.06.002","created_at":"2021-09-30T08:25:09.911Z","updated_at":"2021-09-30T08:25:09.911Z"},{"id":1519,"pubmed_id":22067444,"title":"zfishbook: connecting you to a world of zebrafish revertible mutants.","year":2011,"url":"http://doi.org/10.1093/nar/gkr957","authors":"Clark KJ,Argue DP,Petzold AM,Ekker SC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr957","created_at":"2021-09-30T08:25:10.067Z","updated_at":"2021-09-30T11:29:11.926Z"}],"licence_links":[],"grants":[{"id":350,"fairsharing_record_id":1652,"organisation_id":1799,"relation":"maintains","created_at":"2021-09-30T09:24:28.434Z","updated_at":"2021-09-30T09:24:28.434Z","grant_id":null,"is_lead":false,"saved_state":{"id":1799,"name":"Mayo Clinic, Scottsdale, AZ, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":349,"fairsharing_record_id":1652,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:28.376Z","updated_at":"2021-09-30T09:31:22.317Z","grant_id":1139,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM63904","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":352,"fairsharing_record_id":1652,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:24:28.529Z","updated_at":"2021-09-30T09:32:37.764Z","grant_id":1707,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"DA14546","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":354,"fairsharing_record_id":1652,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:28.605Z","updated_at":"2021-09-30T09:24:28.605Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":353,"fairsharing_record_id":1652,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:28.566Z","updated_at":"2021-09-30T09:30:49.249Z","grant_id":886,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG 006431","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":351,"fairsharing_record_id":1652,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:28.493Z","updated_at":"2021-09-30T09:31:53.934Z","grant_id":1377,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"P30 DK084567","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1653","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:40.538Z","metadata":{"doi":"10.25504/FAIRsharing.710xh8","name":"Database for Bacterial Group II Introns","status":"ready","contacts":[{"contact_name":"Steven Zimmerly","contact_email":"zimmerly@ucalgary.ca"}],"homepage":"http://webapps2.ucalgary.ca/~groupii","citations":[],"identifier":1653,"description":"Database for identification and cataloguing of group II introns. All bacterial introns listed are full-length and appear to be functional, based on intron RNA and IEP characteristics. The database names the full-length introns, and provides information on their boundaries, host genes, and secondary structures. In addition, the website provides tools for analysis that may be useful to researchers who encounter group II introns in DNA sequences.","abbreviation":"Group II introns database","data_curation":{"type":"not found"},"support_links":[{"url":"http://webapps2.ucalgary.ca/~groupii/html/static/howtofind.php","name":"How to find a group II intron","type":"Help documentation"},{"url":"http://webapps2.ucalgary.ca/~groupii/html/static/intro.php","name":"Introduction","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","associated_tools":[{"url":"http://webapps2.ucalgary.ca/~groupii/html/static/blast.php","name":"blast and download"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012723","name":"re3data:r3d100012723","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000109","bsg-d000109"],"name":"FAIRsharing record for: Database for Bacterial Group II Introns","abbreviation":"Group II introns database","url":"https://fairsharing.org/10.25504/FAIRsharing.710xh8","doi":"10.25504/FAIRsharing.710xh8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database for identification and cataloguing of group II introns. All bacterial introns listed are full-length and appear to be functional, based on intron RNA and IEP characteristics. The database names the full-length introns, and provides information on their boundaries, host genes, and secondary structures. In addition, the website provides tools for analysis that may be useful to researchers who encounter group II introns in DNA sequences.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12598}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Life Science"],"domains":["RNA secondary structure","Protein domain","Taxonomic classification","Deoxyribonucleic acid","Ribonucleic acid","Host","Exon","Intron","Group II intron","Mitochondrial sequence","Chloroplast sequence","Amino acid sequence"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["ORF-less introns"],"countries":["Canada"],"publications":[{"id":155,"pubmed_id":12520040,"title":"Database for mobile group II introns.","year":2003,"url":"http://doi.org/10.1093/nar/gkg049","authors":"Dai L., Toor N., Olson R., Keeping A., Zimmerly S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg049","created_at":"2021-09-30T08:22:36.880Z","updated_at":"2021-09-30T08:22:36.880Z"},{"id":1476,"pubmed_id":11861899,"title":"Compilation and analysis of group II intron insertions in bacterial genomes: evidence for retroelement behavior.","year":2002,"url":"http://doi.org/10.1093/nar/30.5.1091","authors":"Dai L., Zimmerly S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.5.1091","created_at":"2021-09-30T08:25:05.189Z","updated_at":"2021-09-30T08:25:05.189Z"},{"id":1830,"pubmed_id":12554871,"title":"ORF-less and reverse-transcriptase-encoding group II introns in archaebacteria, with a pattern of homing into related group II intron ORFs.","year":2003,"url":"http://doi.org/10.1261/rna.2126203","authors":"Dai L., Zimmerly S.,","journal":"RNA","doi":"10.1261/rna.2126203","created_at":"2021-09-30T08:25:45.538Z","updated_at":"2021-09-30T08:25:45.538Z"},{"id":2367,"pubmed_id":18676618,"title":"Group II introns in eubacteria and archaea: ORF-less introns and new varieties.","year":2008,"url":"http://doi.org/10.1261/rna.1056108","authors":"Simon DM., Clarke NA., McNeil BA., Johnson I., Pantuso D., Dai L., Chai D., Zimmerly S.,","journal":"RNA","doi":"10.1261/rna.1056108","created_at":"2021-09-30T08:26:51.005Z","updated_at":"2021-09-30T08:26:51.005Z"}],"licence_links":[],"grants":[{"id":356,"fairsharing_record_id":1653,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:28.683Z","updated_at":"2021-09-30T09:30:11.780Z","grant_id":593,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","grant":"MOP-49457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":355,"fairsharing_record_id":1653,"organisation_id":3278,"relation":"maintains","created_at":"2021-09-30T09:24:28.642Z","updated_at":"2021-09-30T09:24:28.642Z","grant_id":null,"is_lead":false,"saved_state":{"id":3278,"name":"Zimmerly Lab, Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada.","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1670","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:24:30.266Z","metadata":{"doi":"10.25504/FAIRsharing.hgrpah","name":"NRG-CING","status":"deprecated","contacts":[],"homepage":"http://nmr.cmbi.ru.nl/NRG-CING","citations":[],"identifier":1670,"description":"Validated NMR structures of proteins and nucleic acids.","abbreviation":"NRG-CING","data_curation":{"type":"not found"},"support_links":[{"url":"http://143.210.185.204/NRG-CING/HTML/help.html","type":"Help documentation"},{"url":"http://143.210.185.204/NRG-CING/HTML/helpTutorials.html","type":"Training documentation"}],"year_creation":2008,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000126","bsg-d000126"],"name":"FAIRsharing record for: NRG-CING","abbreviation":"NRG-CING","url":"https://fairsharing.org/10.25504/FAIRsharing.hgrpah","doi":"10.25504/FAIRsharing.hgrpah","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Validated NMR structures of proteins and nucleic acids.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12605}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Protein structure","Nucleic acid sequence","Nuclear Magnetic Resonance (NMR) spectroscopy"],"taxonomies":["All"],"user_defined_tags":["Validation"],"countries":["Netherlands"],"publications":[{"id":175,"pubmed_id":22139937,"title":"NRG-CING: integrated validation reports of remediated experimental biomolecular NMR data and coordinates in wwPDB.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1134","authors":"Doreleijers JF., Vranken WF., Schulte C., Markley JL., Ulrich EL., Vriend G., Vuister GW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1134","created_at":"2021-09-30T08:22:39.156Z","updated_at":"2021-09-30T08:22:39.156Z"}],"licence_links":[],"grants":[{"id":405,"fairsharing_record_id":1670,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:30.401Z","updated_at":"2021-09-30T09:24:30.401Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":406,"fairsharing_record_id":1670,"organisation_id":1389,"relation":"maintains","created_at":"2021-09-30T09:24:30.439Z","updated_at":"2021-09-30T09:24:30.439Z","grant_id":null,"is_lead":false,"saved_state":{"id":1389,"name":"Institute for Molecules and Materials (IMM), Radboud University, Nijmegen, The Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1671","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:15.232Z","metadata":{"doi":"10.25504/FAIRsharing.etqbej","name":"Pocket Similarity Search using Multiple-Sketches","status":"ready","contacts":[{"contact_name":"Kentaro Tomii","contact_email":"k-tomii@aist.go.jp"}],"homepage":"http://possum.cbrc.jp/PoSSuM/","citations":[],"identifier":1671,"description":"POcket Similarity Search Using Multiple-Sketches (PoSSuM) includes all the discovered protein-small molecule binding site pairs with annotations of various types (e.g., UniProt, CATH, SCOP, SCOPe, EC number and Gene ontology). PoSSuM enables rapid exploration of similar binding sites among structures with different global folds as well as similar folds. Moreover, PoSSuM is useful for predicting the binding ligand for unbound structures.","abbreviation":"PoSSuM","data_curation":{"type":"automated"},"support_links":[{"url":"http://possum.cbrc.jp/PoSSuM/dataset_help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"url":"https://possum.cbrc.pj.aist.go.jp/PoSSuM/","type":"open","notes":"The PoSSuM database is freely available for all researchers"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000127","bsg-d000127"],"name":"FAIRsharing record for: Pocket Similarity Search using Multiple-Sketches","abbreviation":"PoSSuM","url":"https://fairsharing.org/10.25504/FAIRsharing.etqbej","doi":"10.25504/FAIRsharing.etqbej","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: POcket Similarity Search Using Multiple-Sketches (PoSSuM) includes all the discovered protein-small molecule binding site pairs with annotations of various types (e.g., UniProt, CATH, SCOP, SCOPe, EC number and Gene ontology). PoSSuM enables rapid exploration of similar binding sites among structures with different global folds as well as similar folds. Moreover, PoSSuM is useful for predicting the binding ligand for unbound structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Binding site prediction","Protein interaction","Small molecule binding","Ligand binding domain binding"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":190,"pubmed_id":22135290,"title":"PoSSuM: a database of similar protein-ligand binding and putative pockets.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1130","authors":"Ito J., Tabei Y., Shimizu K., Tsuda K., Tomii K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1130","created_at":"2021-09-30T08:22:40.814Z","updated_at":"2021-09-30T08:22:40.814Z"},{"id":191,"pubmed_id":22113700,"title":"PDB-scale analysis of known and putative ligand-binding sites with structural sketches.","year":2011,"url":"http://doi.org/10.1002/prot.23232","authors":"Ito J., Tabei Y., Shimizu K., Tomii K., Tsuda K.,","journal":"Proteins","doi":"10.1002/prot.23232","created_at":"2021-09-30T08:22:40.916Z","updated_at":"2021-09-30T08:22:40.916Z"},{"id":1579,"pubmed_id":25404129,"title":"PoSSuM v.2.0: data update and a new function for investigating ligand analogs and target proteins of small-molecule drugs.","year":2014,"url":"http://doi.org/10.1093/nar/gku1144","authors":"Ito J,Ikeda K,Yamada K,Mizuguchi K,Tomii K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1144","created_at":"2021-09-30T08:25:17.027Z","updated_at":"2021-09-30T11:29:14.511Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":151,"relation":"undefined"}],"grants":[{"id":410,"fairsharing_record_id":1671,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:24:30.769Z","updated_at":"2021-09-30T09:24:30.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":408,"fairsharing_record_id":1671,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:24:30.695Z","updated_at":"2021-09-30T09:30:10.689Z","grant_id":586,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"KAKENHI 23500374","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":407,"fairsharing_record_id":1671,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:30.472Z","updated_at":"2021-09-30T09:24:30.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":409,"fairsharing_record_id":1671,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:24:30.731Z","updated_at":"2021-09-30T09:24:30.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1672","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:36:32.619Z","metadata":{"doi":"10.25504/FAIRsharing.5mr9c5","name":"SitEx database of eukaryotic protein functional sites","status":"deprecated","contacts":[{"contact_name":"Irina Medvedeva","contact_email":"brukaro@bionet.nsc.ru"}],"homepage":"http://www-bionet.sscc.ru/sitex/","identifier":1672,"description":"SitEx is a database containing information on eukaryotic protein functional sites. It stores the amino acid sequence positions in the functional site, in relation to the exon structure of encoding gene This can be used to detect the exons involved in shuffling in protein evolution, or to design protein-engineering experiments.","abbreviation":"SitEx","data_curation":{"type":"not found"},"support_links":[{"url":"http://www-bionet.sscc.ru/sitex/help.php","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/SitEx","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://www-bionet.sscc.ru/sitex/blast.php","name":"blast"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000128","bsg-d000128"],"name":"FAIRsharing record for: SitEx database of eukaryotic protein functional sites","abbreviation":"SitEx","url":"https://fairsharing.org/10.25504/FAIRsharing.5mr9c5","doi":"10.25504/FAIRsharing.5mr9c5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SitEx is a database containing information on eukaryotic protein functional sites. It stores the amino acid sequence positions in the functional site, in relation to the exon structure of encoding gene This can be used to detect the exons involved in shuffling in protein evolution, or to design protein-engineering experiments.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12606}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Protein domain","Binding motif","Structure","Sequence","Coding sequence","Amino acid sequence"],"taxonomies":["Anopheles gambiae","Ascaris suum","Bos taurus","Caenorhabditis elegans","Canis familiaris","Cavia porcellus","Danio rerio","Echis multisquamatus","Equus caballus","Eukaryota","Gallus gallus","Homo sapiens","Mus musculus","Oryctolagus cuniculus","Protobothrops flavoviridis","Rattus norvegicus","Sus scrofa","Xenopus tropicalis"],"user_defined_tags":["Discontinuity coefficient"],"countries":["Russia"],"publications":[{"id":196,"pubmed_id":22139920,"title":"SitEx: a computer system for analysis of projections of protein functional sites on eukaryotic genes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1187","authors":"Medvedeva I., Demenkov P., Kolchanov N., Ivanisenko V.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1187","created_at":"2021-09-30T08:22:41.439Z","updated_at":"2021-09-30T08:22:41.439Z"}],"licence_links":[],"grants":[{"id":414,"fairsharing_record_id":1672,"organisation_id":2198,"relation":"maintains","created_at":"2021-09-30T09:24:30.918Z","updated_at":"2021-09-30T09:24:30.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":2198,"name":"Novosibirsk State University, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":411,"fairsharing_record_id":1672,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:30.819Z","updated_at":"2021-09-30T09:30:19.037Z","grant_id":653,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"260429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":412,"fairsharing_record_id":1672,"organisation_id":2775,"relation":"maintains","created_at":"2021-09-30T09:24:30.858Z","updated_at":"2021-09-30T09:24:30.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":2775,"name":"The Federal Research Center Institute of Cytology and Genetics Lab, Novosibirsk, Russia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":413,"fairsharing_record_id":1672,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:24:30.888Z","updated_at":"2021-09-30T09:30:29.332Z","grant_id":732,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"14.740.11.0001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8221,"fairsharing_record_id":1672,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:31:37.448Z","updated_at":"2021-09-30T09:31:37.500Z","grant_id":1254,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"07.514.11.4003","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9325,"fairsharing_record_id":1672,"organisation_id":2474,"relation":"funds","created_at":"2022-04-11T12:07:30.538Z","updated_at":"2022-04-11T12:07:30.554Z","grant_id":1347,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"11-04-92712","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1661","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:38:11.678Z","metadata":{"doi":"10.25504/FAIRsharing.5q1p14","name":"Joint Genome Institute, Genomes OnLine Database","status":"ready","contacts":[{"contact_name":"T.B.K. Reddy","contact_email":"tbreddy@lbl.gov"}],"homepage":"https://gold.jgi.doe.gov/","citations":[{"doi":"10.1093/nar/gkac974","pubmed_id":null,"publication_id":3812}],"identifier":1661,"description":"Genomes Online Database, is a World Wide Web resource for comprehensive access to information regarding genome and metagenome sequencing projects, and their associated metadata, around the world. Information in GOLD is organized into levels to include Study, Organism or Biosample, Sequencing Project (SP), and Analysis Project (AP). All four levels, along with their complex list of metadata fields and controlled vocabulary (CV) terms, are connected to each other in a lucid framework to enhance scientific discovery. GOLD is a curated resource serving the research community and your input is critical to ensure high quality, accurate metadata in GOLD. ","abbreviation":"JGI-GOLD","data_curation":{"url":"https://gold.jgi.doe.gov/help","type":"manual"},"support_links":[{"url":"https://gold.jgi.doe.gov/news","name":"News","type":"Blog/News"},{"url":"https://en.wikipedia.org/wiki/Genomes_OnLine_Database","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"https://gold.jgi.doe.gov/help#","name":"Report an issue or send a message to GOLD","type":"Contact form"},{"url":"https://gold.jgi.doe.gov/resources/project_help_doc.pdf","name":"GOLD Project Entry Help Document","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/resources/Standardized_Metagenome_Naming.pdf","name":"GOLD Standardized Metagenome Naming Document","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/resources/Guidance_import_NCBI_genomes_metagenomes_to_GOLD_IMG.pdf","name":"Guidance on submitting public NCBI genomes and metagenomes into GOLD and IMG","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/resources/Metagenome-Assembled-Genomes-Naming-Standards.pdf","name":"Standardized Metagenome-Assembled Genome (MAG) naming in GOLD","type":"Help documentation"},{"url":"https://gold.jgi.doe.gov/help","name":"Help Page","type":"Help documentation"},{"url":"https://jgi.doe.gov/accessibility-section-508-statement/","name":"Accessibility / Section 508 Statement","type":"Other"}],"year_creation":1997,"data_versioning":"no","associated_tools":[{"url":"https://gold.jgi.doe.gov/biosamplemap","name":"Biosample Distribution Map"},{"url":"https://gold.jgi.doe.gov/organismmap","name":"Organism Distribution Map"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010808","name":"re3data:r3d100010808","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002817","name":"SciCrunch:RRID:SCR_002817","portal":"SciCrunch"}],"data_access_condition":{"url":"https://gold.jgi.doe.gov/usagepolicy","type":"partially open","notes":"Public metadata is accessible for research purposes."},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gold.jgi.doe.gov/resources/Guidance_import_NCBI_genomes_metagenomes_to_GOLD_IMG.pdf","type":"open","notes":"GOLD allows for the curation of project metadata related to sequence data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000117","bsg-d000117"],"name":"FAIRsharing record for: Joint Genome Institute, Genomes OnLine Database","abbreviation":"JGI-GOLD","url":"https://fairsharing.org/10.25504/FAIRsharing.5q1p14","doi":"10.25504/FAIRsharing.5q1p14","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genomes Online Database, is a World Wide Web resource for comprehensive access to information regarding genome and metagenome sequencing projects, and their associated metadata, around the world. Information in GOLD is organized into levels to include Study, Organism or Biosample, Sequencing Project (SP), and Analysis Project (AP). All four levels, along with their complex list of metadata fields and controlled vocabulary (CV) terms, are connected to each other in a lucid framework to enhance scientific discovery. GOLD is a curated resource serving the research community and your input is critical to ensure high quality, accurate metadata in GOLD. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12601},{"linking_record_name":"Department of Energy Office of Science Public Reusable Research Data Resources","linking_record_id":5364,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19185}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Phylogenetics","Metabolomics"],"domains":["Genome map","Taxonomic classification","Biological sample annotation","Annotation","Biological sample","Protocol","Study design","Phenotype","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":152,"pubmed_id":11125068,"title":"Genomes OnLine Database (GOLD): a monitor of genome projects world-wide.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.126","authors":"Bernal A., Ear U., Kyrpides N.,","journal":"Nucleic Acids Res.","doi":"11125068","created_at":"2021-09-30T08:22:36.522Z","updated_at":"2021-09-30T08:22:36.522Z"},{"id":164,"pubmed_id":17981842,"title":"The Genomes On Line Database (GOLD) in 2007: status of genomic and metagenomic projects and their associated metadata.","year":2007,"url":"http://doi.org/10.1093/nar/gkm884","authors":"Liolios K., Mavromatis K., Tavernarakis N., Kyrpides NC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm884","created_at":"2021-09-30T08:22:38.080Z","updated_at":"2021-09-30T08:22:38.080Z"},{"id":1543,"pubmed_id":10498782,"title":"Genomes OnLine Database (GOLD 1.0): a monitor of complete and ongoing genome projects world-wide.","year":1999,"url":"http://doi.org/10.1093/bioinformatics/15.9.773","authors":"Kyrpides NC.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/15.9.773","created_at":"2021-09-30T08:25:12.802Z","updated_at":"2021-09-30T08:25:12.802Z"},{"id":3075,"pubmed_id":19914934,"title":"The Genomes On Line Database (GOLD) in 2009: status of genomic and metagenomic projects and their associated metadata.","year":2009,"url":"http://doi.org/10.1093/nar/gkp848","authors":"Liolios K., Chen IM., Mavromatis K., Tavernarakis N., Hugenholtz P., Markowitz VM., Kyrpides NC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp848","created_at":"2021-09-30T08:28:18.900Z","updated_at":"2021-09-30T08:28:18.900Z"},{"id":3081,"pubmed_id":30357420,"title":"Genomes OnLine database (GOLD) v.7: updates and new features.","year":2018,"url":"http://doi.org/10.1093/nar/gky977","authors":"Mukherjee S,Stamatis D,Bertsch J,Ovchinnikova G,Katta HY,Mojica A,Chen IA,Kyrpides NC,Reddy T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky977","created_at":"2021-09-30T08:28:19.614Z","updated_at":"2021-09-30T11:29:50.979Z"},{"id":3363,"pubmed_id":null,"title":"Genomes OnLine Database (GOLD) v.8: overview and updates","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa983","authors":"Mukherjee, Supratim; Stamatis, Dimitri; Bertsch, Jon; Ovchinnikova, Galina; Sundaramurthi, Jagadish Chandrabose; Lee, Janey; Kandimalla, Mahathi; Chen, I-Min A; Kyrpides, Nikos C; Reddy, T B K; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa983","created_at":"2022-05-16T16:45:33.787Z","updated_at":"2022-05-16T16:45:33.787Z"},{"id":3812,"pubmed_id":null,"title":"Twenty-five years of Genomes OnLine Database (GOLD): data updates and new features in v.9","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac974","authors":"Mukherjee, Supratim; Stamatis, Dimitri; Li, Cindy Tianqing; Ovchinnikova, Galina; Bertsch, Jon; Sundaramurthi, Jagadish Chandrabose; Kandimalla, Mahathi; Nicolopoulos, Paul A; Favognano, Alessandro; Chen, I-Min A; Kyrpides, Nikos C; Reddy, T B K; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac974","created_at":"2023-03-20T15:48:13.173Z","updated_at":"2023-03-20T15:48:13.173Z"},{"id":3813,"pubmed_id":36794865,"title":"Standardized naming of microbiome samples in Genomes OnLine Database","year":2023,"url":"https://academic.oup.com/database/article/doi/10.1093/database/baad001/7042581?login=false","authors":"Supratim Mukherjee , Galina Ovchinnikova, Dimitri Stamatis, Cindy Tianqing Li , I-Min A Chen, Nikos C Kyrpides and T B K Reddy","journal":"Database","doi":"10.1093/database/baad001","created_at":"2023-03-21T19:12:20.727Z","updated_at":"2023-03-21T19:12:20.727Z"}],"licence_links":[{"licence_name":"GOLD Data Usage Policy","licence_id":359,"licence_url":"https://gold.jgi.doe.gov/usagepolicy","link_id":1607,"relation":"undefined"}],"grants":[{"id":380,"fairsharing_record_id":1661,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:24:29.568Z","updated_at":"2021-09-30T09:24:29.568Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":386,"fairsharing_record_id":1661,"organisation_id":1728,"relation":"funds","created_at":"2021-09-30T09:24:29.761Z","updated_at":"2021-09-30T09:32:07.546Z","grant_id":1480,"is_lead":false,"saved_state":{"id":1728,"name":"Los Alamos National Laboratory (LANL), Los Alamos, NM, USA","grant":"DE-AC02-06NA25396","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":379,"fairsharing_record_id":1661,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:24:29.522Z","updated_at":"2021-09-30T09:24:29.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":382,"fairsharing_record_id":1661,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:24:29.638Z","updated_at":"2021-09-30T09:24:29.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":378,"fairsharing_record_id":1661,"organisation_id":705,"relation":"funds","created_at":"2021-09-30T09:24:29.484Z","updated_at":"2021-09-30T09:29:15.251Z","grant_id":160,"is_lead":false,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","grant":"DEFGC02-95ER61963","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":381,"fairsharing_record_id":1661,"organisation_id":1691,"relation":"funds","created_at":"2021-09-30T09:24:29.603Z","updated_at":"2021-09-30T09:30:35.191Z","grant_id":776,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":385,"fairsharing_record_id":1661,"organisation_id":1692,"relation":"funds","created_at":"2021-09-30T09:24:29.738Z","updated_at":"2021-09-30T09:31:35.194Z","grant_id":1236,"is_lead":false,"saved_state":{"id":1692,"name":"Lawrence Livermore National Laboratory (LLNL), USA","grant":"DE-AC52-07NA27344","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":383,"fairsharing_record_id":1661,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:24:29.664Z","updated_at":"2021-09-30T09:29:05.135Z","grant_id":86,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","grant":"10.1093/bioinformatics/15.9.773","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9403,"fairsharing_record_id":1661,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.019Z","updated_at":"2022-04-11T12:07:36.044Z","grant_id":771,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC03-76SF00098","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1662","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:31.291Z","metadata":{"doi":"10.25504/FAIRsharing.dvwz21","name":"GWASdb","status":"deprecated","contacts":[{"contact_name":"Mulin Jun Li","contact_email":"mulin0424.li@gmail.com"}],"homepage":"http://jjwanglab.org/gwasdb","identifier":1662,"description":"GWASdb comprises of collections of traits/diseases associated SNP (TASs) from current GWAS and their comprehensive functional annotations, as well as disease classifications.","abbreviation":"GWASdb","data_curation":{"type":"not found"},"support_links":[{"url":"junwen@uw.edu","name":"junwen@uw.edu","type":"Support email"},{"url":"http://jjwanglab.org/gwasdb/gwasdb2/gwasdb2/about","name":"About GWASdb","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GWASdb","name":"GWASdb Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://jjwanglab.org/gwasrap","name":"GWASrap"},{"url":"http://jjwanglab.org/snvrap","name":"SNVrap"},{"url":"http://mulinlab.tmu.edu.cn/gwas4d","name":"GWAS4D"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000118","bsg-d000118"],"name":"FAIRsharing record for: GWASdb","abbreviation":"GWASdb","url":"https://fairsharing.org/10.25504/FAIRsharing.dvwz21","doi":"10.25504/FAIRsharing.dvwz21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GWASdb comprises of collections of traits/diseases associated SNP (TASs) from current GWAS and their comprehensive functional annotations, as well as disease classifications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Annotation","Computational biological predictions","Disease process modeling","Genetic polymorphism","Splice site","Micro RNA (miRNA) target site","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Hong Kong"],"publications":[{"id":154,"pubmed_id":22139925,"title":"GWASdb: a database for human genetic variants identified by genome-wide association studies.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1182","authors":"Li MJ., Wang P., Liu X., Lim EL., Wang Z., Yeager M., Wong MP., Sham PC., Chanock SJ., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1182","created_at":"2021-09-30T08:22:36.781Z","updated_at":"2021-09-30T08:22:36.781Z"},{"id":490,"pubmed_id":22801476,"title":"Genetic variant representation, annotation and prioritization in the post-GWAS era","year":2012,"url":"http://doi.org/10.1038/cr.2012.106","authors":"Mulin Jun Li, Pak Chung Sham and Junwen Wang","journal":"Cell Research","doi":"10.1038/cr.2012.106","created_at":"2021-09-30T08:23:13.277Z","updated_at":"2021-09-30T08:23:13.277Z"},{"id":2558,"pubmed_id":26615194,"title":"GWASdb v2: an update database for human genetic variants identified by genome-wide association studies.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1317","authors":"Li MJ,Liu Z,Wang P,Wong MP,Nelson MR,Kocher JP,Yeager M,Sham PC,Chanock SJ,Xia Z,Wang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1317","created_at":"2021-09-30T08:27:13.784Z","updated_at":"2021-09-30T11:29:39.312Z"}],"licence_links":[],"grants":[{"id":388,"fairsharing_record_id":1662,"organisation_id":3065,"relation":"maintains","created_at":"2021-09-30T09:24:29.811Z","updated_at":"2021-09-30T09:24:29.811Z","grant_id":null,"is_lead":true,"saved_state":{"id":3065,"name":"University of Hong Kong","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":389,"fairsharing_record_id":1662,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:29.837Z","updated_at":"2021-09-30T09:24:29.837Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1663","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:42:00.211Z","metadata":{"doi":"10.25504/FAIRsharing.vm6g21","name":"Integrated Genomic Database of Non-Small Cell Lung Cancer","status":"deprecated","contacts":[{"contact_name":"Yuh-Shan Jou","contact_email":"jou@ibms.sinica.edu.tw"}],"homepage":"http://igdb.nsclc.ibms.sinica.edu.tw","citations":[],"identifier":1663,"description":"Integrated Genomic Database of Non-Small Cell Lung Cancer.","abbreviation":"IGDB.NSCLC","data_curation":{"type":"manual"},"support_links":[{"url":"http://igdb.nsclc.ibms.sinica.edu.tw/tutorial.php","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.\n\n","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000119","bsg-d000119"],"name":"FAIRsharing record for: Integrated Genomic Database of Non-Small Cell Lung Cancer","abbreviation":"IGDB.NSCLC","url":"https://fairsharing.org/10.25504/FAIRsharing.vm6g21","doi":"10.25504/FAIRsharing.vm6g21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integrated Genomic Database of Non-Small Cell Lung Cancer.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12602}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Expression data","MicroRNA expression analysis","Genome","Point mutation","Copy number variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":1898,"pubmed_id":22139933,"title":"IGDB.NSCLC: integrated genomic database of non-small cell lung cancer.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1183","authors":"Kao S,Shiau CK,Gu DL,Ho CM,Su WH,Chen CF,Lin CH,Jou YS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1183","created_at":"2021-09-30T08:25:53.486Z","updated_at":"2021-09-30T11:29:22.452Z"}],"licence_links":[],"grants":[{"id":390,"fairsharing_record_id":1663,"organisation_id":1405,"relation":"maintains","created_at":"2021-09-30T09:24:29.861Z","updated_at":"2021-09-30T09:24:29.861Z","grant_id":null,"is_lead":false,"saved_state":{"id":1405,"name":"Institute of Biomedical Sciences (IBMS), Academia Sinica, Taipei, Taiwan","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":391,"fairsharing_record_id":1663,"organisation_id":2068,"relation":"funds","created_at":"2021-09-30T09:24:29.887Z","updated_at":"2021-09-30T09:29:27.671Z","grant_id":259,"is_lead":false,"saved_state":{"id":2068,"name":"National Research Program For Genomic Medicine (NRPGM), Taipe, Taiwan","grant":"NSC98-3112-B-001-004","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8190,"fairsharing_record_id":1663,"organisation_id":2068,"relation":"funds","created_at":"2021-09-30T09:31:24.890Z","updated_at":"2021-09-30T09:31:24.945Z","grant_id":1159,"is_lead":false,"saved_state":{"id":2068,"name":"National Research Program For Genomic Medicine (NRPGM), Taipe, Taiwan","grant":"NSC98-3112-B-001-031","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":392,"fairsharing_record_id":1663,"organisation_id":2067,"relation":"funds","created_at":"2021-09-30T09:24:29.916Z","updated_at":"2021-09-30T09:32:11.371Z","grant_id":1509,"is_lead":false,"saved_state":{"id":2067,"name":"National Research Program for Biopharmaceuticals","grant":"NSC100-2325-B-001-012","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1664","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.419Z","metadata":{"doi":"10.25504/FAIRsharing.a4ybgg","name":"Indel Flanking Region Database","status":"deprecated","contacts":[{"contact_name":"Bin Gong","contact_email":"gb@sdu.edu.cn"}],"homepage":"http://indel.bioinfo.sdu.edu.cn","identifier":1664,"description":"Indel Flanking Region Database is an online resource for indels (insertion/deletions) and the flanking regions of proteins in SCOP superfamilies. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid indels, substitutions and the relationship between them.","abbreviation":"IndelFR","data_curation":{"type":"not found"},"support_links":[{"url":"http://indel.bioinfo.sdu.edu.cn/gridsphere/gridsphere?cid=contact","type":"Contact form"},{"url":"http://indel.bioinfo.sdu.edu.cn/gridsphere/gridsphere?cid=help","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000120","bsg-d000120"],"name":"FAIRsharing record for: Indel Flanking Region Database","abbreviation":"IndelFR","url":"https://fairsharing.org/10.25504/FAIRsharing.a4ybgg","doi":"10.25504/FAIRsharing.a4ybgg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Indel Flanking Region Database is an online resource for indels (insertion/deletions) and the flanking regions of proteins in SCOP superfamilies. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid indels, substitutions and the relationship between them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Structure","Hydrophobicity","Hydrophilicity","Amino acid sequence","Indel"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":464,"pubmed_id":20671041,"title":"Impact of indels on the flanking regions in structural domains.","year":2010,"url":"http://doi.org/10.1093/molbev/msq196","authors":"Zhang Z., Huang J., Wang Z., Wang L., Gao P.,","journal":"Mol. Biol. Evol.","doi":"10.1093/molbev/msq196","created_at":"2021-09-30T08:23:10.450Z","updated_at":"2021-09-30T08:23:10.450Z"},{"id":758,"pubmed_id":22127860,"title":"IndelFR: a database of indels in protein structures and their flanking regions.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1107","authors":"Zhang Z,Xing C,Wang L,Gong B,Liu H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1107","created_at":"2021-09-30T08:23:43.501Z","updated_at":"2021-09-30T11:28:50.175Z"}],"licence_links":[],"grants":[{"id":395,"fairsharing_record_id":1664,"organisation_id":2629,"relation":"maintains","created_at":"2021-09-30T09:24:30.035Z","updated_at":"2021-09-30T09:24:30.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":2629,"name":"State Key Laboratory of Microbial Technology, Shandong University, Jinan, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":393,"fairsharing_record_id":1664,"organisation_id":2554,"relation":"funds","created_at":"2021-09-30T09:24:29.957Z","updated_at":"2021-09-30T09:29:09.844Z","grant_id":120,"is_lead":false,"saved_state":{"id":2554,"name":"Shangdong University, China","grant":"2009JC006","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":394,"fairsharing_record_id":1664,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:29.998Z","updated_at":"2021-09-30T09:31:14.916Z","grant_id":1085,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"61070017","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8179,"fairsharing_record_id":1664,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:21.872Z","updated_at":"2021-09-30T09:31:21.926Z","grant_id":1136,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30970092","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1665","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:54:57.131Z","metadata":{"doi":"10.25504/FAIRsharing.jhfs8q","name":"Integrated Pathway Analysis and Visualization System","status":"deprecated","contacts":[{"contact_name":"Do Han Kim","contact_email":"dhkim@gist.ac.kr"}],"homepage":"http://ipavs.cidms.org","identifier":1665,"description":"iPAVS provides a collection of highly-structured manually curated human pathway data, it also integrates biological pathway information from several public databases and provides several tools to manipulate, filter, browse, search, analyze, visualize and compare the integrated pathway resources.","abbreviation":"IPAVS","data_curation":{"type":"not found"},"support_links":[{"url":"https://sites.google.com/a/cidms.org/ipavs_tutorials/faqs","name":"IPAVS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://sites.google.com/a/cidms.org/ipavs_tutorials/","name":"IPAVS Tutorials","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000121","bsg-d000121"],"name":"FAIRsharing record for: Integrated Pathway Analysis and Visualization System","abbreviation":"IPAVS","url":"https://fairsharing.org/10.25504/FAIRsharing.jhfs8q","doi":"10.25504/FAIRsharing.jhfs8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iPAVS provides a collection of highly-structured manually curated human pathway data, it also integrates biological pathway information from several public databases and provides several tools to manipulate, filter, browse, search, analyze, visualize and compare the integrated pathway resources.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12603}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science","Metabolomics","Transcriptomics","Systems Biology","Data Visualization"],"domains":["Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":171,"pubmed_id":21423387,"title":"Current trends and new challenges of databases and web applications for systems driven biological research.","year":2010,"url":"http://doi.org/10.3389/fphys.2010.00147","authors":"Sreenivasaiah PK., Kim do H.,","journal":"Front Physiol","doi":"10.3389/fphys.2010.00147","created_at":"2021-09-30T08:22:38.724Z","updated_at":"2021-09-30T08:22:38.724Z"},{"id":172,"pubmed_id":18261742,"title":"An overview of cardiac systems biology.","year":2008,"url":"http://doi.org/10.1016/j.yjmcc.2007.12.005","authors":"Shreenivasaiah PK., Rho SH., Kim T., Kim do H.,","journal":"J. Mol. Cell. Cardiol.","doi":"10.1016/j.yjmcc.2007.12.005","created_at":"2021-09-30T08:22:38.832Z","updated_at":"2021-09-30T08:22:38.832Z"},{"id":1326,"pubmed_id":21071716,"title":"Biology of endoplasmic reticulum stress in the heart.","year":2010,"url":"http://doi.org/10.1161/CIRCRESAHA.110.227033","authors":"Groenendyk J., Sreenivasaiah PK., Kim do H., Agellon LB., Michalak M.,","journal":"Circ. Res.","doi":"10.1161/CIRCRESAHA.110.227033","created_at":"2021-09-30T08:24:48.417Z","updated_at":"2021-09-30T08:24:48.417Z"}],"licence_links":[{"licence_name":"IPAVS Terms and conditions","licence_id":448,"licence_url":"http://ipavs.cidms.org/about","link_id":2204,"relation":"undefined"}],"grants":[{"id":397,"fairsharing_record_id":1665,"organisation_id":2695,"relation":"maintains","created_at":"2021-09-30T09:24:30.118Z","updated_at":"2021-09-30T09:24:30.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2695,"name":"Systems Biology Laboratory of Gwangju Institute of Science and Technology, Department of Life Sciences, Gwangju, South Korea","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":398,"fairsharing_record_id":1665,"organisation_id":1202,"relation":"funds","created_at":"2021-09-30T09:24:30.156Z","updated_at":"2021-09-30T09:29:32.810Z","grant_id":294,"is_lead":false,"saved_state":{"id":1202,"name":"GRIPS Innovation, Science and Technology Policy Program","grant":"GIST Systems Biology Infrastructure Establishment Grant (2010)","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":396,"fairsharing_record_id":1665,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:24:30.076Z","updated_at":"2021-09-30T09:30:31.222Z","grant_id":745,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"Korea MEST NRF grant (2010-0002159)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1666","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:13:04.234Z","metadata":{"doi":"10.25504/FAIRsharing.yxrs8t","name":"MethylomeDB","status":"deprecated","contacts":[{"contact_email":"fgh3@columbia.edu"}],"homepage":"http://habanero.mssm.edu/methylomedb/index.html","identifier":1666,"description":"This resource details DNA methylation profiles in human and mouse brain. This database includes genome-wide DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples.","abbreviation":"MethylomeDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://habanero.mssm.edu/methylomedb/contact.html","type":"Contact form"},{"url":"http://habanero.mssm.edu/methylomedb/help_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://habanero.mssm.edu/methylomedb/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://habanero.mssm.edu/index.html","name":"Browser"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000122","bsg-d000122"],"name":"FAIRsharing record for: MethylomeDB","abbreviation":"MethylomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.yxrs8t","doi":"10.25504/FAIRsharing.yxrs8t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource details DNA methylation profiles in human and mouse brain. This database includes genome-wide DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA methylation","Methylation","Brain"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":581,"pubmed_id":22140101,"title":"MethylomeDB: a database of DNA methylation profiles of the brain.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1193","authors":"Xin Y., Chanrion B., O'Donnell AH., Milekic M., Costa R., Ge Y., Haghighi FG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1193","created_at":"2021-09-30T08:23:23.569Z","updated_at":"2021-09-30T08:23:23.569Z"},{"id":1888,"pubmed_id":21216877,"title":"Distinct DNA methylation changes highly correlated with chronological age in the human brain.","year":2011,"url":"http://doi.org/10.1093/hmg/ddq561","authors":"Hernandez DG,Nalls MA,Gibbs JR,Arepalli S,van der Brug M,Chong S,Moore M,Longo DL,Cookson MR,Traynor BJ,Singleton AB","journal":"Hum Mol Genet","doi":"10.1093/hmg/ddq561","created_at":"2021-09-30T08:25:52.373Z","updated_at":"2021-09-30T08:25:52.373Z"}],"licence_links":[],"grants":[{"id":400,"fairsharing_record_id":1666,"organisation_id":562,"relation":"maintains","created_at":"2021-09-30T09:24:30.222Z","updated_at":"2021-09-30T09:24:30.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":562,"name":"Columbia University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":399,"fairsharing_record_id":1666,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:24:30.188Z","updated_at":"2021-09-30T09:32:21.021Z","grant_id":1579,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"Z01 AG000932-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1667","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:15:39.668Z","metadata":{"doi":"10.25504/FAIRsharing.5pfx4r","name":"miRNEST","status":"deprecated","contacts":[{"contact_email":"miszcz@amu.edu.pl"}],"homepage":"http://mirnest.amu.edu.pl","citations":[],"identifier":1667,"description":"miRNEST is an integrative collection of animal, plant and virus microRNA data. miRNEST is being gradually developed to create an integrative resource of miRNA-associated data. The data comes from our computational predictions (new miRNAs, targets, mirtrons, miRNA gene structures) as well as from other databases and publications.","abbreviation":"miRNEST","data_curation":{"type":"not found"},"support_links":[{"url":"http://rhesus.amu.edu.pl/mirnest/copy/update.html","name":"What's New in miRNEST","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/MiRNEST","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://rhesus.amu.edu.pl/mirnest/copy/deep.php","name":"Deep-seq predictions"},{"url":"http://rhesus.amu.edu.pl/mirnest/copy/mirtrons.php","name":"Mirtrons"},{"url":"http://rhesus.amu.edu.pl/mirnest/copy/mirna_gene_structure.php","name":"miRNA gene filtering"},{"url":"http://rhesus.amu.edu.pl/mirnest/copy/degradomes.php","name":"Degradomes"}],"deprecation_date":"2022-01-29","deprecation_reason":"This resource's homepage is no longer available, and an updated homepage cannot be found. Please let us know if you have any information. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000123","bsg-d000123"],"name":"FAIRsharing record for: miRNEST","abbreviation":"miRNEST","url":"https://fairsharing.org/10.25504/FAIRsharing.5pfx4r","doi":"10.25504/FAIRsharing.5pfx4r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: miRNEST is an integrative collection of animal, plant and virus microRNA data. miRNEST is being gradually developed to create an integrative resource of miRNA-associated data. The data comes from our computational predictions (new miRNAs, targets, mirtrons, miRNA gene structures) as well as from other databases and publications.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12604}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["RNA secondary structure","Expression data","RNA sequence","Multiple sequence alignment","Computational biological predictions","Regulation of miRNA metabolic process","Genetic polymorphism","Sequencing read","Promoter","Micro RNA","Pre-miRNA (pre-microRNA)","Target"],"taxonomies":["All"],"user_defined_tags":["Deep sequencing reads aligned to miRNAs"],"countries":["Poland"],"publications":[{"id":153,"pubmed_id":22135287,"title":"miRNEST database: an integrative approach in microRNA search and annotation.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1159","authors":"Szcześniak MW., Deorowicz S., Gapski J., Kaczyński Ł., Makalowska I.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1159","created_at":"2021-09-30T08:22:36.674Z","updated_at":"2021-09-30T08:22:36.674Z"},{"id":1363,"pubmed_id":24243848,"title":"miRNEST 2.0: a database of plant and animal microRNAs.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1156","authors":"Szczesniak MW,Makalowska I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1156","created_at":"2021-09-30T08:24:52.417Z","updated_at":"2021-09-30T11:29:06.968Z"}],"licence_links":[],"grants":[{"id":401,"fairsharing_record_id":1667,"organisation_id":1672,"relation":"maintains","created_at":"2021-09-30T09:24:30.244Z","updated_at":"2021-09-30T09:24:30.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":1672,"name":"Laboratory of Bioinformatics, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614 Poznan, Poland","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1668","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:23.226Z","metadata":{"doi":"10.25504/FAIRsharing.26pqv5","name":"MitoZoa","status":"ready","contacts":[{"contact_name":"Carmela Gissi","contact_email":"carmela.gissi@unimi.it","contact_orcid":"0000-0002-2269-079X"}],"homepage":"http://srv00.recas.ba.infn.it/mitozoa/","citations":[],"identifier":1668,"description":"MitoZoa is a specialized database collecting complete and nearly-complete (longer than 7 kb) mtDNA entries of metazoan species, excluding Placozoa. MitoZoa contains curated entries, whose gene annotation has been significantly improved using a semi-automatic reannotation pipeline and by manual curation of mitogenomics experts. MitoZoa has been specifically designed to address comparative analyses of mitochondrial genomic features in a given metazoan group or in species belonging to the same genus (congeneric species). MitoZoa focuses on mitochondrial gene order, non-coding regions, gene content, and gene sequences.","abbreviation":"MitoZoa","data_curation":{"url":"http://srv00.recas.ba.infn.it/mitozoa/","type":"manual/automated","notes":"Gene annotation has been significantly improved using a semi-automatic reannotation pipeline and by manual curation of mitogenomics experts."},"support_links":[{"url":"http://srv00.recas.ba.infn.it/mitozoa/help.htm","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://srv00.recas.ba.infn.it/mitozoa/blast.php","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000124","bsg-d000124"],"name":"FAIRsharing record for: MitoZoa","abbreviation":"MitoZoa","url":"https://fairsharing.org/10.25504/FAIRsharing.26pqv5","doi":"10.25504/FAIRsharing.26pqv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MitoZoa is a specialized database collecting complete and nearly-complete (longer than 7 kb) mtDNA entries of metazoan species, excluding Placozoa. MitoZoa contains curated entries, whose gene annotation has been significantly improved using a semi-automatic reannotation pipeline and by manual curation of mitogenomics experts. MitoZoa has been specifically designed to address comparative analyses of mitochondrial genomic features in a given metazoan group or in species belonging to the same genus (congeneric species). MitoZoa focuses on mitochondrial gene order, non-coding regions, gene content, and gene sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Citation","Gene functional annotation","Mitochondrion","Curated information","Mitochondrial genome","Transfer RNA","Coding sequence"],"taxonomies":["Metazoa","Placozoa"],"user_defined_tags":["Mitochondrial gene annotation correction","Mitochondrial gene nomenclature","Mitochondrial gene order","Mitochondrial introns","Mitochondrial non-coding region (NCR) sequences","Mitochondrial pseudogenes","Mitochondrial tRNA"],"countries":["Italy"],"publications":[{"id":159,"pubmed_id":20080208,"title":"MitoZoa: a curated mitochondrial genome database of metazoans for comparative genomics studies.","year":2010,"url":"http://doi.org/10.1016/j.mito.2010.01.004","authors":"Lupi R., de Meo PD., Picardi E., D'Antonio M., Paoletti D., Castrignanò T., Pesole G., Gissi C.,","journal":"Mitochondrion","doi":"10.1016/j.mito.2010.01.004","created_at":"2021-09-30T08:22:37.531Z","updated_at":"2021-09-30T08:22:37.531Z"}],"licence_links":[],"grants":[{"id":9467,"fairsharing_record_id":1668,"organisation_id":3018,"relation":"undefined","created_at":"2022-04-28T14:02:37.219Z","updated_at":"2022-04-28T14:02:37.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":3018,"name":"University of Bari, Bari, Italy","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":9468,"fairsharing_record_id":1668,"organisation_id":3492,"relation":"undefined","created_at":"2022-04-28T14:02:37.232Z","updated_at":"2022-04-28T14:02:37.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":3492,"name":"University of Milan","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":9469,"fairsharing_record_id":1668,"organisation_id":522,"relation":"undefined","created_at":"2022-04-28T14:02:37.274Z","updated_at":"2022-04-28T14:02:37.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":522,"name":"CINECA, Bologna, Italy","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1654","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.340Z","metadata":{"doi":"10.25504/FAIRsharing.990a1b","name":"Autism Knowledgebase","status":"deprecated","contacts":[{"contact_name":"Liping Wei","contact_email":"weilp@mail.cbi.pku.edu.cn"}],"homepage":"http://autismkb.cbi.pku.edu.cn/","identifier":1654,"description":"Autism genetics KnowledgeBase, an evidence-based knowledgebase of autism genetics.","abbreviation":"Autism KB","data_curation":{"type":"not found"},"support_links":[{"url":"http://autismkb.cbi.pku.edu.cn/contact.php","type":"Contact form"},{"url":"AutismKB@mail.cbi.pku.ed.cn","type":"Support email"},{"url":"http://autismkb.cbi.pku.edu.cn/document.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://autismkb.cbi.pku.edu.cn/rank.php","name":"Ranking Tool"},{"url":"http://autismkb.cbi.pku.edu.cn/blast.php","name":"Blast"}],"deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000110","bsg-d000110"],"name":"FAIRsharing record for: Autism Knowledgebase","abbreviation":"Autism KB","url":"https://fairsharing.org/10.25504/FAIRsharing.990a1b","doi":"10.25504/FAIRsharing.990a1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Autism genetics KnowledgeBase, an evidence-based knowledgebase of autism genetics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Autistic disorder","Genetic polymorphism","Disease","Gene","Copy number variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":167,"pubmed_id":22139918,"title":"AutismKB: an evidence-based knowledgebase of autism genetics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1145","authors":"Xu LM., Li JR., Huang Y., Zhao M., Tang X., Wei L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1145","created_at":"2021-09-30T08:22:38.355Z","updated_at":"2021-09-30T08:22:38.355Z"}],"licence_links":[],"grants":[{"id":358,"fairsharing_record_id":1654,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:28.753Z","updated_at":"2021-09-30T09:24:28.753Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":357,"fairsharing_record_id":1654,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:28.720Z","updated_at":"2021-09-30T09:31:07.746Z","grant_id":1030,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2011CBA01102","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":359,"fairsharing_record_id":1654,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:28.777Z","updated_at":"2021-09-30T09:32:20.789Z","grant_id":1577,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31025014","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1655","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:39.961Z","metadata":{"doi":"10.25504/FAIRsharing.z6rbe3","name":"BacMap","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca","contact_orcid":null}],"homepage":"http://bacmap.wishartlab.com","citations":[],"identifier":1655,"description":"BacMap is a picture atlas of annotated bacterial genomes. It is an interactive visual database containing hundreds of fully labeled, zoomable, and searchable maps of bacterial genomes.","abbreviation":"BacMap","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=bacmap","type":"Contact form"},{"url":"http://bacmap.wishartlab.com/help","type":"Help documentation"},{"url":"http://bacmap.wishartlab.com/about","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012724","name":"re3data:r3d100012724","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006988","name":"SciCrunch:RRID:SCR_006988","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000111","bsg-d000111"],"name":"FAIRsharing record for: BacMap","abbreviation":"BacMap","url":"https://fairsharing.org/10.25504/FAIRsharing.z6rbe3","doi":"10.25504/FAIRsharing.z6rbe3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BacMap is a picture atlas of annotated bacterial genomes. It is an interactive visual database containing hundreds of fully labeled, zoomable, and searchable maps of bacterial genomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Statistics","Life Science"],"domains":["Genome map","Protein structure","Taxonomic classification","Gene name","DNA sequence data","Free text","Function analysis","Image","Phenotype","Amino acid sequence","Prophage","Genome"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["Physical properties","RNA map"],"countries":["Canada"],"publications":[{"id":160,"pubmed_id":15608206,"title":"BacMap: an interactive picture atlas of annotated bacterial genomes.","year":2004,"url":"http://doi.org/10.1093/nar/gki075","authors":"Stothard P., Van Domselaar G., Shrivastava S., Guo A., O'Neill B., Cruz J., Ellison M., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki075","created_at":"2021-09-30T08:22:37.631Z","updated_at":"2021-09-30T08:22:37.631Z"},{"id":1343,"pubmed_id":22135301,"title":"BacMap: an up-to-date electronic atlas of annotated bacterial genomes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1105","authors":"Cruz J., Liu Y., Liang Y., Zhou Y., Wilson M., Dennis JJ., Stothard P., Van Domselaar G., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1105","created_at":"2021-09-30T08:24:50.279Z","updated_at":"2021-09-30T08:24:50.279Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":779,"relation":"undefined"}],"grants":[{"id":360,"fairsharing_record_id":1655,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:28.876Z","updated_at":"2021-09-30T09:24:28.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11613,"fairsharing_record_id":1655,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:39.661Z","updated_at":"2024-03-21T13:59:39.661Z","grant_id":null,"is_lead":false,"saved_state":{"id":3309,"name":"Wishart Research Group, University of Alberta, Edmonton, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1656","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:39:00.161Z","metadata":{"doi":"10.25504/FAIRsharing.3vfc16","name":"Compilation and Creation of datasets from PDB","status":"ready","contacts":[{"contact_name":"Dr Gajendra P.S. Raghava","contact_email":"raghava@imtech.res.in"}],"homepage":"https://webs.iiitd.edu.in/raghava/ccpdb/index.html","citations":[],"identifier":1656,"description":"ccPDB (Compilation and Creation of datasets from PDB) is a collection of commonly used data sets for structural or functional annotation of proteins. Datasets from literature and the Protein Data Bank (PDB) were incorporated into ccPDB to facilitate the analysis and organisation of additional dataset collections by the researcher. ","abbreviation":"ccPDB","data_curation":{"url":"https://webs.iiitd.edu.in/raghava/ccpdb/index.html","type":"automated"},"support_links":[{"url":"http://crdd.osdd.net/raghava/ccpdb/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://crdd.osdd.net/raghava/ccpdb/blast.php","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000112","bsg-d000112"],"name":"FAIRsharing record for: Compilation and Creation of datasets from PDB","abbreviation":"ccPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.3vfc16","doi":"10.25504/FAIRsharing.3vfc16","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ccPDB (Compilation and Creation of datasets from PDB) is a collection of commonly used data sets for structural or functional annotation of proteins. Datasets from literature and the Protein Data Bank (PDB) were incorporated into ccPDB to facilitate the analysis and organisation of additional dataset collections by the researcher. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12599}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Protein structure","Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1160,"pubmed_id":22139939,"title":"ccPDB: compilation and creation of data sets from Protein Data Bank.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1150","authors":"Singh H,Chauhan JS,Gromiha MM,Raghava GP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1150","created_at":"2021-09-30T08:24:28.989Z","updated_at":"2021-09-30T11:29:01.250Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":266,"relation":"undefined"}],"grants":[{"id":363,"fairsharing_record_id":1656,"organisation_id":2265,"relation":"funds","created_at":"2021-09-30T09:24:28.992Z","updated_at":"2021-09-30T09:24:28.992Z","grant_id":null,"is_lead":false,"saved_state":{"id":2265,"name":"Open Source Drug Discovery (OSDD) India","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":365,"fairsharing_record_id":1656,"organisation_id":686,"relation":"funds","created_at":"2021-09-30T09:24:29.071Z","updated_at":"2021-09-30T09:24:29.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":686,"name":"Department of Biotechnology, Ministry of Science and Technology, India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":362,"fairsharing_record_id":1656,"organisation_id":1425,"relation":"maintains","created_at":"2021-09-30T09:24:28.950Z","updated_at":"2021-09-30T09:24:28.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1425,"name":"Institute of Microbial Technology (IMTECH), Council of Scientific \u0026 Industrial Research (CSIR), Chandigarh, India","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":364,"fairsharing_record_id":1656,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:24:29.034Z","updated_at":"2021-09-30T09:24:29.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1657","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:28:47.969Z","metadata":{"doi":"10.25504/FAIRsharing.aqb4ne","name":"CUBE-DB","status":"deprecated","contacts":[{"contact_name":"Ivana Mihalek","contact_email":"ivanam@bii.a-star.edu.sg"}],"homepage":"http://epsf.bmad.bii.a-star.edu.sg/cube/db/html/home.html","identifier":1657,"description":"Detection of functional divergence in human protein families. Cube-DB is a database of pre-evaluated conservation and specialization scores for residues in paralogous proteins belonging to multi-member families of human proteins. Protein family classification follows (largely) the classification suggested by HUGO Gene Nomenclature Committee. Sets of orthologous protein sequences were generated by mutual-best-hit strategy using full vertebrate genomes available in Ensembl. The scores, described on documentation page, are assigned to each individual residue in a protein, and presented in the form of a table (html or downloadable xls formats) and mapped, when appropriate, onto the related structure (Jmol, Pymol, Chimera).","abbreviation":"CUBE-DB","data_curation":{"type":"not found"},"support_links":[{"url":"zhangzh@bii.a-star.edu.sg","type":"Support email"},{"url":"http://epsf.bmad.bii.a-star.edu.sg/cube/db/html/doc.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000113","bsg-d000113"],"name":"FAIRsharing record for: CUBE-DB","abbreviation":"CUBE-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.aqb4ne","doi":"10.25504/FAIRsharing.aqb4ne","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Detection of functional divergence in human protein families. Cube-DB is a database of pre-evaluated conservation and specialization scores for residues in paralogous proteins belonging to multi-member families of human proteins. Protein family classification follows (largely) the classification suggested by HUGO Gene Nomenclature Committee. Sets of orthologous protein sequences were generated by mutual-best-hit strategy using full vertebrate genomes available in Ensembl. The scores, described on documentation page, are assigned to each individual residue in a protein, and presented in the form of a table (html or downloadable xls formats) and mapped, when appropriate, onto the related structure (Jmol, Pymol, Chimera).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Multiple sequence alignment","Molecular function","Classification","Protein","Amino acid sequence","Orthologous","Paralogous"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["Singapore"],"publications":[{"id":156,"pubmed_id":21931701,"title":"Determinants, discriminants, conserved residues--a heuristic approach to detection of functional divergence in protein families.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0024382","authors":"Bharatham K., Zhang ZH., Mihalek I.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0024382","created_at":"2021-09-30T08:22:37.027Z","updated_at":"2021-09-30T08:22:37.027Z"},{"id":756,"pubmed_id":22139934,"title":"Cube-DB: detection of functional divergence in human protein families.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1129","authors":"Zhang ZH,Bharatham K,Chee SM,Mihalek I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1129","created_at":"2021-09-30T08:23:43.234Z","updated_at":"2021-09-30T11:28:50.025Z"}],"licence_links":[],"grants":[{"id":366,"fairsharing_record_id":1657,"organisation_id":973,"relation":"maintains","created_at":"2021-09-30T09:24:29.104Z","updated_at":"2021-09-30T09:24:29.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":973,"name":"Evolution of Protein Structure and Function Group, Biomolecular Modelling and Design Division, Bioinformatics Institute, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1649","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:20.002Z","metadata":{"doi":"10.25504/FAIRsharing.4dqw0","name":"The Arabidopsis Information Resource","status":"ready","contacts":[{"contact_email":"curator@arabidopsis.org"}],"homepage":"http://www.arabidopsis.org/","citations":[],"identifier":1649,"description":"The Arabidopsis Information Resource (TAIR) maintains a database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available from TAIR includes the complete genome sequence along with gene structure, gene product information, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every week from the latest published research literature and community data submissions.","abbreviation":"TAIR","data_curation":{"type":"manual"},"support_links":[{"url":"curator@arabidopsis.org","type":"Support email"},{"url":"http://www.arabidopsis.org/help/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.arabidopsis.org/help/index.jsp","type":"Help documentation"},{"url":"http://www.arabidopsis.org/help/tutorials/index.jsp","type":"Training documentation"},{"url":"https://www.youtube.com/user/TAIRinfo/featured","name":"TAIR You Tube Channel","type":"Video"},{"url":"https://en.wikipedia.org/wiki/The_Arabidopsis_Information_Resource","type":"Wikipedia"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"https://www.arabidopsis.org/servlets/tools/synteny","name":"Synteny viewer: compare syntenic regions between two or more genomes"},{"url":"https://www.arabidopsis.org/servlets/tools/sv","name":"SeqViewer: a genome browser developed at TAIR for viewing Arabidopsis sequence and annotation"},{"url":"https://www.arabidopsis.org/tools/nbrowse.jsp","name":"NBrowse: an interactive graphical browser for biological networks such as protein-protein interactions"},{"url":"https://www.arabidopsis.org/biocyc/index.jsp","name":"AraCyc Pathways: Arabidopsis biochemical pathways visualization and querying tool"},{"url":"http://www.arabidopsis.org/tools/index.jsp","name":"analyze"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010185","name":"re3data:r3d100010185","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004618","name":"SciCrunch:RRID:SCR_004618","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.arabidopsis.org/help/helppages/commreg.jsp","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000105","bsg-d000105"],"name":"FAIRsharing record for: The Arabidopsis Information Resource","abbreviation":"TAIR","url":"https://fairsharing.org/10.25504/FAIRsharing.4dqw0","doi":"10.25504/FAIRsharing.4dqw0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arabidopsis Information Resource (TAIR) maintains a database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available from TAIR includes the complete genome sequence along with gene structure, gene product information, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every week from the latest published research literature and community data submissions.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11615}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science","Metabolomics"],"domains":["Molecular structure","Genetic map","Physical map","Genome map","Expression data","DNA sequence data","Publication","Structure","Gene"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1096,"pubmed_id":17986450,"title":"The Arabidopsis Information Resource (TAIR): gene structure and function annotation.","year":2007,"url":"http://doi.org/10.1093/nar/gkm965","authors":"Swarbreck D., Wilks C., Lamesch P., Berardini TZ., Garcia-Hernandez M., Foerster H., Li D., Meyer T., Muller R., Ploetz L., Radenbaugh A., Singh S., Swing V., Tissier C., Zhang P., Huala E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm965","created_at":"2021-09-30T08:24:21.347Z","updated_at":"2021-09-30T08:24:21.347Z"},{"id":1098,"pubmed_id":20521243,"title":"Using the Arabidopsis information resource (TAIR) to find information about Arabidopsis genes.","year":2010,"url":"http://doi.org/10.1002/0471250953.bi0111s30","authors":"Lamesch P., Dreher K., Swarbreck D., Sasidharan R., Reiser L., Huala E.,","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0111s30","created_at":"2021-09-30T08:24:21.567Z","updated_at":"2021-09-30T08:24:21.567Z"},{"id":1106,"pubmed_id":22140109,"title":"The Arabidopsis Information Resource (TAIR): improved gene annotation and new tools.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1090","authors":"Lamesch P,Berardini TZ,Li D,Swarbreck D,Wilks C,Sasidharan R,Muller R,Dreher K,Alexander DL,Garcia-Hernandez M,Karthikeyan AS,Lee CH,Nelson WD,Ploetz L,Singh S,Wensel A,Huala E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1090","created_at":"2021-09-30T08:24:22.539Z","updated_at":"2021-09-30T11:28:58.818Z"},{"id":1724,"pubmed_id":26201819,"title":"The Arabidopsis information resource: Making and mining the \"gold standard\" annotated reference plant genome.","year":2015,"url":"http://doi.org/10.1002/dvg.22877","authors":"Berardini TZ,Reiser L,Li D,Mezheritsky Y,Muller R,Strait E,Huala E","journal":"Genesis","doi":"10.1002/dvg.22877","created_at":"2021-09-30T08:25:33.170Z","updated_at":"2021-09-30T08:25:33.170Z"},{"id":1864,"pubmed_id":29220077,"title":"Using the Arabidopsis Information Resource (TAIR) to Find Information About Arabidopsis Genes.","year":2017,"url":"http://doi.org/10.1002/cpbi.36","authors":"Reiser L,Subramaniam S,Li D,Huala E","journal":"Curr Protoc Bioinformatics","doi":"10.1002/cpbi.36","created_at":"2021-09-30T08:25:49.455Z","updated_at":"2021-09-30T08:25:49.455Z"},{"id":1865,"pubmed_id":26989150,"title":"Sustainable funding for biocuration: The Arabidopsis Information Resource (TAIR) as a case study of a subscription-based funding model.","year":2016,"url":"http://doi.org/10.1093/database/baw018","authors":"Reiser L,Berardini TZ,Li D,Muller R,Strait EM,Li Q,Mezheritsky Y,Vetushko A,Huala E","journal":"Database (Oxford)","doi":"10.1093/database/baw018","created_at":"2021-09-30T08:25:49.564Z","updated_at":"2021-09-30T08:25:49.564Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":2336,"relation":"undefined"},{"licence_name":"TAIR Software License","licence_id":769,"licence_url":"http://www.arabidopsis.org/doc/about/tair_licensing/416","link_id":2335,"relation":"undefined"},{"licence_name":"TAIR Terms of Use","licence_id":770,"licence_url":"http://www.arabidopsis.org/doc/about/tair_terms_of_use/417","link_id":2334,"relation":"undefined"}],"grants":[{"id":344,"fairsharing_record_id":1649,"organisation_id":2322,"relation":"maintains","created_at":"2021-09-30T09:24:28.043Z","updated_at":"2022-06-27T13:54:33.688Z","grant_id":null,"is_lead":true,"saved_state":{"id":2322,"name":"Phoenix Bioinformatics Corporation","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaHdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--13ae7a1a92132f0e16f9f5d14deb2dc4e245770d/tair_logo_highdef_originalcolors.png?disposition=inline","exhaustive_licences":false}},{"id":"1650","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T08:08:32.708Z","metadata":{"doi":"10.25504/FAIRsharing.qf46ys","name":"The Human OligoGenome Resource: A Database for Customized Targeted Resequencing Covering the Human Genome","status":"deprecated","contacts":[],"homepage":"http://oligogenome.stanford.edu/","citations":[],"identifier":1650,"description":"Oligonucleotides for targeted resequencing of the human genome","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000106","bsg-d000106"],"name":"FAIRsharing record for: The Human OligoGenome Resource: A Database for Customized Targeted Resequencing Covering the Human Genome","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qf46ys","doi":"10.25504/FAIRsharing.qf46ys","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Oligonucleotides for targeted resequencing of the human genome","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12596}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Oligonucleotide probe annotation","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":139,"pubmed_id":21738606,"title":"A flexible approach for highly multiplexed candidate gene targeted resequencing.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0021088","authors":"Natsoulis G., Bell JM., Xu H., Buenrostro JD., Ordonez H., Grimes S., Newburger D., Jensen M., Zahn JM., Zhang N., Ji HP.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0021088","created_at":"2021-09-30T08:22:35.205Z","updated_at":"2021-09-30T08:22:35.205Z"}],"licence_links":[],"grants":[{"id":346,"fairsharing_record_id":1650,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:24:28.193Z","updated_at":"2021-09-30T09:24:28.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":345,"fairsharing_record_id":1650,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:28.125Z","updated_at":"2021-09-30T09:24:28.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1658","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:40.315Z","metadata":{"doi":"10.25504/FAIRsharing.mw2ekr","name":"Death Domain Database","status":"deprecated","contacts":[{"contact_name":"Hyun Ho Park","contact_email":"hyunho@ynu.ac.kr"}],"homepage":"http://www.deathdomain.org","identifier":1658,"description":"Death Domain Database is a manually curated database of protein-protein interactions for Death Domain Superfamily.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.deathdomain.org/tutorial","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/Death_Domain_database","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000114","bsg-d000114"],"name":"FAIRsharing record for: Death Domain Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.mw2ekr","doi":"10.25504/FAIRsharing.mw2ekr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Death Domain Database is a manually curated database of protein-protein interactions for Death Domain Superfamily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Signaling","Molecular interaction","Curated information"],"taxonomies":["Canis familiaris","Danio rerio","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":158,"pubmed_id":22135292,"title":"A comprehensive manually curated protein-protein interaction database for the Death Domain superfamily.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1149","authors":"Kwon D., Yoon JH., Shin SY., Jang TH., Kim HG., So I., Jeon JH., Park HH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1149","created_at":"2021-09-30T08:22:37.424Z","updated_at":"2021-09-30T08:22:37.424Z"}],"licence_links":[],"grants":[{"id":367,"fairsharing_record_id":1658,"organisation_id":1923,"relation":"maintains","created_at":"2021-09-30T09:24:29.139Z","updated_at":"2021-09-30T09:24:29.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":1923,"name":"Myongji University, Seoul, South Korea","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":368,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:24:29.160Z","updated_at":"2021-09-30T09:29:08.711Z","grant_id":112,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0025697","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7884,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:29:24.574Z","updated_at":"2021-09-30T09:29:24.616Z","grant_id":236,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0022437","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7917,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:29:45.433Z","updated_at":"2021-09-30T09:29:45.485Z","grant_id":388,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2011-0003406","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7960,"fairsharing_record_id":1658,"organisation_id":2065,"relation":"funds","created_at":"2021-09-30T09:30:05.110Z","updated_at":"2021-09-30T09:30:05.148Z","grant_id":544,"is_lead":false,"saved_state":{"id":2065,"name":"National Research Foundation of Korea","grant":"2008-05943","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1659","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:23.875Z","metadata":{"doi":"10.25504/FAIRsharing.ngme77","name":"Human disease methylation database","status":"ready","contacts":[],"homepage":"http://bio-bigdata.hrbmu.edu.cn/diseasemeth/","citations":[],"identifier":1659,"description":"The human disease methylation database, DiseaseMeth is a web based resource focused on the aberrant methylomes of human diseases. Until recently, bulks of large-scale data are avaible and are increasingly grown, from which more information can be mined to gain further information towards human diseases. Our mission is to provide a curated set of methylation information datasets and tools in the human genome, to support and promote research in this area. Especially, we provide a genome-scale landscape to show human methylaton information in a scalable and flexible manner.","abbreviation":"DiseaseMeth","data_curation":{"type":"manual"},"support_links":[{"url":"http://bio-bigdata.hrbmu.edu.cn/diseasemeth/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000115","bsg-d000115"],"name":"FAIRsharing record for: Human disease methylation database","abbreviation":"DiseaseMeth","url":"https://fairsharing.org/10.25504/FAIRsharing.ngme77","doi":"10.25504/FAIRsharing.ngme77","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The human disease methylation database, DiseaseMeth is a web based resource focused on the aberrant methylomes of human diseases. Until recently, bulks of large-scale data are avaible and are increasingly grown, from which more information can be mined to gain further information towards human diseases. Our mission is to provide a curated set of methylation information datasets and tools in the human genome, to support and promote research in this area. Especially, we provide a genome-scale landscape to show human methylaton information in a scalable and flexible manner.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Abstract","Methylation","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":163,"pubmed_id":22135302,"title":"DiseaseMeth: a human disease methylation database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1169","authors":"Lv J., Liu H., Su J., Wu X., Liu H., Li B., Xiao X., Wang F., Wu Q., Zhang Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1169","created_at":"2021-09-30T08:22:37.939Z","updated_at":"2021-09-30T08:22:37.939Z"}],"licence_links":[],"grants":[{"id":370,"fairsharing_record_id":1659,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:29.230Z","updated_at":"2021-09-30T09:32:11.146Z","grant_id":1507,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30971645","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8455,"fairsharing_record_id":1659,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:43.110Z","updated_at":"2021-09-30T09:32:43.166Z","grant_id":1747,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"61075023","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":372,"fairsharing_record_id":1659,"organisation_id":2631,"relation":"funds","created_at":"2021-09-30T09:24:29.296Z","updated_at":"2021-09-30T09:32:10.621Z","grant_id":1502,"is_lead":false,"saved_state":{"id":2631,"name":"State Key Laboratory of Urban Water Resource and Environment, China","grant":"2010TS05","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9421,"fairsharing_record_id":1659,"organisation_id":2053,"relation":"funds","created_at":"2022-04-11T12:07:37.235Z","updated_at":"2022-04-11T12:07:37.253Z","grant_id":20,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"C201012","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1660","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:42:47.317Z","metadata":{"doi":"10.25504/FAIRsharing.fyqk5z","name":"Gene3D","status":"deprecated","contacts":[{"contact_name":"Corin Yeats","contact_email":"yeats@biochem.ucl.ac.uk"}],"homepage":"http://gene3d.biochem.ucl.ac.uk","citations":[{"doi":"10.1093/nar/gkx1069","pubmed_id":29112716,"publication_id":1715}],"identifier":1660,"description":"Gene3D uses the information in CATH to predict the locations of structural domains on millions of protein sequences available in public databases. Sequence data from UniProtKB and Ensembl for domains with no experimentally determined structures are scanned against CATH HMMs to predict domain sequence boundaries and make homologous superfamily assignments.","abbreviation":"Gene3D","data_curation":{"type":"not found"},"support_links":[{"url":"Gene3D.Contact@gmail.com","name":"General Contact","type":"Support email"},{"url":"http://gene3d.biochem.ucl.ac.uk/examples","name":"Example Searches","type":"Help documentation"},{"url":"http://gene3d.biochem.ucl.ac.uk/about","name":"About Gene3D","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/cath-gene3d","name":"Cath gene3d","type":"TeSS links to training materials"}],"year_creation":2003,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000116","bsg-d000116"],"name":"FAIRsharing record for: Gene3D","abbreviation":"Gene3D","url":"https://fairsharing.org/10.25504/FAIRsharing.fyqk5z","doi":"10.25504/FAIRsharing.fyqk5z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene3D uses the information in CATH to predict the locations of structural domains on millions of protein sequences available in public databases. Sequence data from UniProtKB and Ensembl for domains with no experimentally determined structures are scanned against CATH HMMs to predict domain sequence boundaries and make homologous superfamily assignments.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11519},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12600}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Hidden Markov model","Protein structure","Protein domain","Annotation","Protein interaction","Gene","Amino acid sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":357,"pubmed_id":19906693,"title":"Gene3D: merging structure and function for a Thousand genomes.","year":2009,"url":"http://doi.org/10.1093/nar/gkp987","authors":"Lees J., Yeats C., Redfern O., Clegg A., Orengo C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp987","created_at":"2021-09-30T08:22:58.380Z","updated_at":"2021-09-30T08:22:58.380Z"},{"id":1715,"pubmed_id":29112716,"title":"Gene3D: Extensive prediction of globular domains in proteins.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1069","authors":"Lewis TE,Sillitoe I,Dawson N,Lam SD,Clarke T,Lee D,Orengo C,Lees J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1069","created_at":"2021-09-30T08:25:32.152Z","updated_at":"2021-09-30T11:29:19.010Z"},{"id":2340,"pubmed_id":21646335,"title":"The Gene3D Web Services: a platform for identifying, annotating and comparing structural domains in protein sequences.","year":2011,"url":"http://doi.org/10.1093/nar/gkr438","authors":"Yeats C., Lees J., Carter P., Sillitoe I., Orengo C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr438","created_at":"2021-09-30T08:26:47.426Z","updated_at":"2021-09-30T08:26:47.426Z"},{"id":2342,"pubmed_id":26139634,"title":"Functional classification of CATH superfamilies: a domain-based approach for protein function annotation.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv398","authors":"Das S,Lee D,Sillitoe I,Dawson NL,Lees JG,Orengo CA","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv398","created_at":"2021-09-30T08:26:47.739Z","updated_at":"2021-09-30T08:26:47.739Z"}],"licence_links":[],"grants":[{"id":373,"fairsharing_record_id":1660,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:29.319Z","updated_at":"2021-09-30T09:24:29.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":377,"fairsharing_record_id":1660,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:29.442Z","updated_at":"2021-09-30T09:31:08.150Z","grant_id":1033,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200700058C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8183,"fairsharing_record_id":1660,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:22.781Z","updated_at":"2021-09-30T09:31:22.835Z","grant_id":1143,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"LSHG-CT-2004-512092","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8347,"fairsharing_record_id":1660,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:13.352Z","updated_at":"2021-09-30T09:32:13.426Z","grant_id":1523,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"LSHG-CT-2003-503265","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":374,"fairsharing_record_id":1660,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:24:29.345Z","updated_at":"2021-09-30T09:24:29.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":376,"fairsharing_record_id":1660,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:29.409Z","updated_at":"2021-09-30T09:29:52.110Z","grant_id":442,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"081989/Z/07/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":375,"fairsharing_record_id":1660,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:29.372Z","updated_at":"2021-09-30T09:31:20.043Z","grant_id":1123,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"LSHG-CT-2005-518254","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8346,"fairsharing_record_id":1660,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:13.208Z","updated_at":"2021-09-30T09:32:13.264Z","grant_id":1522,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"DE-AC02-065CH11357","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1683","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:39.561Z","metadata":{"doi":"10.25504/FAIRsharing.8jsya3","name":"PomBase","status":"ready","contacts":[{"contact_name":"PomBase Helpdesk","contact_email":"helpdesk@pombase.org"}],"homepage":"http://www.pombase.org","citations":[],"identifier":1683,"description":"PomBase is a model organism database that provides organization of and access to scientific data for the fission yeast Schizosaccharomyces pombe. PomBase supports genomic sequence and features, genome-wide datasets and manual literature curation as well as providing structural and functional annotation and access to large-scale data sets.","abbreviation":"PomBase","data_curation":{"url":"https://www.pombase.org/submit-data","type":"manual"},"support_links":[{"url":"http://www.pombase.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://listserver.ebi.ac.uk/mailman/listinfo/pombelist","name":"Pombelist mailing list","type":"Mailing list"},{"url":"http://www.pombase.org/documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/PomBase","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://www.pombase.org/identifier-mapper","name":"Identifier mapping tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011478","name":"re3data:r3d100011478","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006586","name":"SciCrunch:RRID:SCR_006586","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.pombase.org/submit-data","type":"controlled","notes":"PomBase Data Submission"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000139","bsg-d000139"],"name":"FAIRsharing record for: PomBase","abbreviation":"PomBase","url":"https://fairsharing.org/10.25504/FAIRsharing.8jsya3","doi":"10.25504/FAIRsharing.8jsya3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PomBase is a model organism database that provides organization of and access to scientific data for the fission yeast Schizosaccharomyces pombe. PomBase supports genomic sequence and features, genome-wide datasets and manual literature curation as well as providing structural and functional annotation and access to large-scale data sets.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16192}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Citation","Protein domain","Gene name","Expression data","DNA sequence data","Gene Ontology enrichment","Model organism","Centromere","Protein modification","Cellular localization","Curated information","Phenotype","Orthologous","Literature curation"],"taxonomies":["Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":192,"pubmed_id":22039153,"title":"PomBase: a comprehensive online resource for fission yeast.","year":2011,"url":"http://doi.org/10.1093/nar/gkr853","authors":"Wood V., Harris MA., McDowall MD., Rutherford K., Vaughan BW., Staines DM., Aslett M., Lock A., Bähler J., Kersey PJ., Oliver SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr853","created_at":"2021-09-30T08:22:41.023Z","updated_at":"2021-09-30T08:22:41.023Z"},{"id":1034,"pubmed_id":22102568,"title":"The Gene Ontology: enhancements for 2011.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1028","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1028","created_at":"2021-09-30T08:24:14.488Z","updated_at":"2021-09-30T11:28:57.193Z"},{"id":1134,"pubmed_id":23658422,"title":"FYPO: the fission yeast phenotype ontology.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt266","authors":"Harris MA,Lock A,Bahler J,Oliver SG,Wood V","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt266","created_at":"2021-09-30T08:24:25.823Z","updated_at":"2021-09-30T08:24:25.823Z"},{"id":2055,"pubmed_id":25361970,"title":"PomBase 2015: updates to the fission yeast database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1040","authors":"McDowall MD,Harris MA,Lock A,Rutherford K,Staines DM,Bahler J,Kersey PJ,Oliver SG,Wood V","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1040","created_at":"2021-09-30T08:26:11.564Z","updated_at":"2021-09-30T11:29:27.613Z"},{"id":2056,"pubmed_id":24574118,"title":"Canto: an online tool for community literature curation.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu103","authors":"Rutherford KM,Harris MA,Lock A,Oliver SG,Wood V","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu103","created_at":"2021-09-30T08:26:11.715Z","updated_at":"2021-09-30T08:26:11.715Z"},{"id":2057,"pubmed_id":24885854,"title":"A method for increasing expressivity of Gene Ontology annotations using a compositional approach.","year":2014,"url":"http://doi.org/10.1186/1471-2105-15-155","authors":"Huntley RP,Harris MA,Alam-Faruque Y,Blake JA,Carbon S,Dietze H,Dimmer EC,Foulger RE,Hill DP,Khodiyar VK,Lock A,Lomax J,Lovering RC,Mutowo-Meullenet P,Sawford T,Van Auken K,Wood V,Mungall CJ","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-15-155","created_at":"2021-09-30T08:26:11.815Z","updated_at":"2021-09-30T08:26:11.815Z"},{"id":2167,"pubmed_id":23161678,"title":"Gene Ontology annotations and resources.","year":2012,"url":"http://doi.org/10.1093/nar/gks1050","authors":"Blake JA,Dolan M,Drabkin H,Hill DP,Li N,Sitnikov D,Bridges S,Burgess S,Buza T,McCarthy F,Peddinti D,Pillai L,Carbon S,Dietze H,Ireland A,Lewis SE,Mungall CJ,Gaudet P,Chrisholm RL,Fey P,Kibbe WA,Basu S,Siegele DA,McIntosh BK,Renfro DP,Zweifel AE,Hu JC,Brown NH,Tweedie S,Alam-Faruque Y,Apweiler R,Auchinchloss A,Axelsen K,Bely B,Blatter M-,Bonilla C,Bouguerleret L,Boutet E,Breuza L,Bridge A,Chan WM,Chavali G,Coudert E,Dimmer E,Estreicher A,Famiglietti L,Feuermann M,Gos A,Gruaz-Gumowski N,Hieta R,Hinz C,Hulo C,Huntley R,James J,Jungo F,Keller G,Laiho K,Legge D,Lemercier P,Lieberherr D,Magrane M,Martin MJ,Masson P,Mutowo-Muellenet P,O'Donovan C,Pedruzzi I,Pichler K,Poggioli D,Porras Millan P,Poux S,Rivoire C,Roechert B,Sawford T,Schneider M,Stutz A,Sundaram S,Tognolli M,Xenarios I,Foulgar R,Lomax J,Roncaglia P,Khodiyar VK,Lovering RC,Talmud PJ,Chibucos M,Giglio MG,Chang H-,Hunter S,McAnulla C,Mitchell A,Sangrador A,Stephan R,Harris MA,Oliver SG,Rutherford K,Wood V,Bahler J,Lock A,Kersey PJ,McDowall DM,Staines DM,Dwinell M,Shimoyama M,Laulederkind S,Hayman T,Wang S-,Petri V,Lowry T,D'Eustachio P,Matthews L,Balakrishnan R,Binkley G,Cherry JM,Costanzo MC,Dwight SS,Engel SR,Fisk DG,Hitz BC,Hong EL,Karra K,Miyasato SR,Nash RS,Park J,Skrzypek MS,Weng S,Wong ED,Berardini TZ,Huala E,Mi H,Thomas PD,Chan J,Kishore R,Sternberg P,Van Auken K,Howe D,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1050","created_at":"2021-09-30T08:26:24.239Z","updated_at":"2021-09-30T11:29:30.513Z"},{"id":2214,"pubmed_id":27334346,"title":"Model organism databases: essential resources that need the support of both funders and users.","year":2016,"url":"http://doi.org/10.1186/s12915-016-0276-z","authors":"Oliver SG,Lock A,Harris MA,Nurse P,Wood V","journal":"BMC Biol","doi":"10.1186/s12915-016-0276-z","created_at":"2021-09-30T08:26:29.542Z","updated_at":"2021-09-30T08:26:29.542Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":204,"relation":"undefined"}],"grants":[{"id":453,"fairsharing_record_id":1683,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:24:32.208Z","updated_at":"2021-09-30T09:24:32.208Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":450,"fairsharing_record_id":1683,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:32.085Z","updated_at":"2021-09-30T09:32:42.661Z","grant_id":1743,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT090548MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":452,"fairsharing_record_id":1683,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:24:32.169Z","updated_at":"2021-09-30T09:24:32.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9241,"fairsharing_record_id":1683,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.751Z","updated_at":"2022-04-11T12:07:24.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1684","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:22.634Z","metadata":{"doi":"10.25504/FAIRsharing.znvzhj","name":"Predictive Networks","status":"deprecated","contacts":[{"contact_name":"John Quackenbush","contact_email":"johng@jimmy.harvard.edu"}],"homepage":"http://predictivenetworks.org/","identifier":1684,"description":"Integration, navigation, visualization, and analysis of gene interaction networks. This record has been marked as \"Uncertain\" because its homepage no longer exists. If you have any information on the current status of this resource, please contact us via the \"Ask Question\" button at the top of this page, or contact us through any of the methods described in the footer.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"predictivenetworks@jimmy.harvard.edu","type":"Support email"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000140","bsg-d000140"],"name":"FAIRsharing record for: Predictive Networks","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.znvzhj","doi":"10.25504/FAIRsharing.znvzhj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integration, navigation, visualization, and analysis of gene interaction networks. This record has been marked as \"Uncertain\" because its homepage no longer exists. If you have any information on the current status of this resource, please contact us via the \"Ask Question\" button at the top of this page, or contact us through any of the methods described in the footer.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic interaction","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":189,"pubmed_id":22096235,"title":"Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1050","authors":"Haibe-Kains B., Olsen C., Djebbari A., Bontempi G., Correll M., Bouton C., Quackenbush J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1050","created_at":"2021-09-30T08:22:40.715Z","updated_at":"2021-09-30T08:22:40.715Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":244,"relation":"undefined"}],"grants":[{"id":454,"fairsharing_record_id":1684,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:32.245Z","updated_at":"2021-09-30T09:24:32.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":455,"fairsharing_record_id":1684,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:24:32.287Z","updated_at":"2021-09-30T09:24:32.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1685","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:48.459Z","metadata":{"doi":"10.25504/FAIRsharing.8bwhme","name":"PCR Primer Database for Gene Expression Detection and Quantification","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"bioinformatics@ccib.mgh.harvard.edu"}],"homepage":"http://pga.mgh.harvard.edu/primerbank/","citations":[],"identifier":1685,"description":"PrimerBank is a public resource for PCR primers. These primers are designed for gene expression detection or quantification (real-time PCR). PrimerBank contains over 306,800 primers covering most known human and mouse genes. There are several ways to search for primers: GenBank Accession, NCBI protein accession, NCBI Gene ID, Gene Symbol, PrimerBank ID or Keyword (gene description) or you can blast your gene sequence against the primerbank Sequence DB.","abbreviation":"PrimerBank","data_curation":{"url":"https://pga.mgh.harvard.edu/primerbank/help.html#How%20about%20the%20quality%20of%20these%20primers?","type":"manual/automated","notes":"The primer design algorithm has been extensively tested by real-time PCR experiments for PCR specificity and efficiency"},"support_links":[{"url":"https://pga.mgh.harvard.edu/primerbank/comments.html","type":"Contact form"},{"url":"https://pga.mgh.harvard.edu/primerbank/help.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"url":"https://pga.mgh.harvard.edu/primerbank/help.html","type":"open","notes":"PrimerBank is a public resource for PCR primers."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000141","bsg-d000141"],"name":"FAIRsharing record for: PCR Primer Database for Gene Expression Detection and Quantification","abbreviation":"PrimerBank","url":"https://fairsharing.org/10.25504/FAIRsharing.8bwhme","doi":"10.25504/FAIRsharing.8bwhme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PrimerBank is a public resource for PCR primers. These primers are designed for gene expression detection or quantification (real-time PCR). PrimerBank contains over 306,800 primers covering most known human and mouse genes. There are several ways to search for primers: GenBank Accession, NCBI protein accession, NCBI Gene ID, Gene Symbol, PrimerBank ID or Keyword (gene description) or you can blast your gene sequence against the primerbank Sequence DB.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Polymerase chain reaction primers","DNA sequence data","Real time polymerase chain reaction","Centrally registered identifier"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1899,"pubmed_id":14654707,"title":"A PCR primer bank for quantitative gene expression analysis.","year":2003,"url":"http://doi.org/10.1093/nar/gng154","authors":"Wang X., Seed B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gng154","created_at":"2021-09-30T08:25:53.588Z","updated_at":"2021-09-30T08:25:53.588Z"},{"id":1921,"pubmed_id":22086960,"title":"PrimerBank: a PCR primer database for quantitative gene expression analysis, 2012 update.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1013","authors":"Wang X., Spandidos A., Wang H., Seed B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1013","created_at":"2021-09-30T08:25:56.197Z","updated_at":"2021-09-30T08:25:56.197Z"},{"id":1922,"pubmed_id":19906719,"title":"PrimerBank: a resource of human and mouse PCR primer pairs for gene expression detection and quantification.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1005","authors":"Spandidos A., Wang X., Wang H., Seed B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1005","created_at":"2021-09-30T08:25:56.306Z","updated_at":"2021-09-30T08:25:56.306Z"}],"licence_links":[],"grants":[{"id":457,"fairsharing_record_id":1685,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:24:32.370Z","updated_at":"2021-09-30T09:24:32.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":456,"fairsharing_record_id":1685,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:32.327Z","updated_at":"2021-09-30T09:24:32.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":458,"fairsharing_record_id":1685,"organisation_id":412,"relation":"maintains","created_at":"2021-09-30T09:24:32.408Z","updated_at":"2021-09-30T09:24:32.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":412,"name":"Center for Computational and Integrative Biology, Boston, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1686","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:09.225Z","metadata":{"doi":"10.25504/FAIRsharing.p6hdm8","name":"Prokaryotic Operon DataBase","status":"deprecated","contacts":[{"contact_name":"Enrique Merino","contact_email":"merino@ibt.unam.mx"}],"homepage":"http://operons.ibt.unam.mx/OperonPredictor","identifier":1686,"description":"The Prokaryotic Operon DataBase (ProOpDB) constitutes one of the most precise and complete repository of operon predictions in our days. Using our novel and highly accurate operon algorithm, we have predicted the operon structures of more than 1,200 prokaryotic genomes.","abbreviation":"ProOpDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://operons.ibt.unam.mx/OperonPredictor/","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000142","bsg-d000142"],"name":"FAIRsharing record for: Prokaryotic Operon DataBase","abbreviation":"ProOpDB","url":"https://fairsharing.org/10.25504/FAIRsharing.p6hdm8","doi":"10.25504/FAIRsharing.p6hdm8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Prokaryotic Operon DataBase (ProOpDB) constitutes one of the most precise and complete repository of operon predictions in our days. Using our novel and highly accurate operon algorithm, we have predicted the operon structures of more than 1,200 prokaryotic genomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Metabolomics"],"domains":["Sequence cluster","Protein domain","DNA sequence data","Image","Orthologous"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["Mexico"],"publications":[{"id":188,"pubmed_id":20385580,"title":"High accuracy operon prediction method based on STRING database scores.","year":2010,"url":"http://doi.org/10.1093/nar/gkq254","authors":"Taboada B., Verde C., Merino E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq254","created_at":"2021-09-30T08:22:40.614Z","updated_at":"2021-09-30T08:22:40.614Z"},{"id":1580,"pubmed_id":22096236,"title":"ProOpDB: Prokaryotic Operon DataBase.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1020","authors":"Taboada B,Ciria R,Martinez-Guerrero CE,Merino E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1020","created_at":"2021-09-30T08:25:17.133Z","updated_at":"2021-09-30T11:29:14.611Z"}],"licence_links":[],"grants":[{"id":460,"fairsharing_record_id":1686,"organisation_id":1446,"relation":"undefined","created_at":"2021-09-30T09:24:32.487Z","updated_at":"2021-09-30T09:24:32.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":1446,"name":"Instituto de Biotecnologia, Cuernavaca, Morelos, Mexico","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":461,"fairsharing_record_id":1686,"organisation_id":599,"relation":"funds","created_at":"2021-09-30T09:24:32.579Z","updated_at":"2021-09-30T09:31:03.591Z","grant_id":997,"is_lead":false,"saved_state":{"id":599,"name":"Consejo Nacional de Ciencia y Tecnologia (CONACyT), Mexico City, Mexico","grant":"154817","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1687","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-06T10:12:40.245Z","metadata":{"doi":"10.25504/FAIRsharing.spxmc4","name":"ProPortal","status":"deprecated","contacts":[{"contact_name":"Sallie W. Chisholm","contact_email":"chisholm@mit.edu"}],"homepage":"http://proportal.mit.edu/","citations":[],"identifier":1687,"description":"ProPortal is a database containing genomic, metagenomic, transcriptomic and field data for the marine cyanobacterium Prochlorococcus. They provide a source of cross-referenced data across multiple scales of biological organization—from the genome to the ecosystem—embracing the full diversity of ecotypic variation within this microbial taxon, its sister group, Synechococcus and phages that infect them.","abbreviation":"ProPortal","data_curation":{},"support_links":[{"url":"proportal@mit.edu","type":"Support email"},{"url":"http://proportal.mit.edu/project/prochlorococcus/","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2023-11-03","deprecation_reason":"This resource is no longer available at the stated homepage, and no new homepage can be found. Please get in touch with us if you have information regarding this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000143","bsg-d000143"],"name":"FAIRsharing record for: ProPortal","abbreviation":"ProPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.spxmc4","doi":"10.25504/FAIRsharing.spxmc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProPortal is a database containing genomic, metagenomic, transcriptomic and field data for the marine cyanobacterium Prochlorococcus. They provide a source of cross-referenced data across multiple scales of biological organization—from the genome to the ecosystem—embracing the full diversity of ecotypic variation within this microbial taxon, its sister group, Synechococcus and phages that infect them.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12608}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Population Dynamics","Genomics","Transcriptomics"],"domains":["Citation","Sequence cluster","Genome map","Expression data","DNA sequence data","Annotation","Gene model annotation","Marine metagenome","Metagenome","Orthologous"],"taxonomies":["Cyanophage","Prochlorococcus marinus","Synechococcus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1923,"pubmed_id":22102570,"title":"ProPortal: a resource for integrated systems biology of Prochlorococcus and its phage.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1022","authors":"Kelly L., Huang KH., Ding H., Chisholm SW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1022","created_at":"2021-09-30T08:25:56.415Z","updated_at":"2021-09-30T08:25:56.415Z"}],"licence_links":[],"grants":[{"id":463,"fairsharing_record_id":1687,"organisation_id":429,"relation":"funds","created_at":"2021-09-30T09:24:32.653Z","updated_at":"2021-09-30T09:30:35.551Z","grant_id":779,"is_lead":false,"saved_state":{"id":429,"name":"Center for Microbial Oceanography: Research and Education (C-MORE), Honolulu, HI, USA","grant":"EF0424599","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8414,"fairsharing_record_id":1687,"organisation_id":429,"relation":"funds","created_at":"2021-09-30T09:32:32.251Z","updated_at":"2021-09-30T09:32:32.296Z","grant_id":1665,"is_lead":false,"saved_state":{"id":429,"name":"Center for Microbial Oceanography: Research and Education (C-MORE), Honolulu, HI, USA","grant":"OCE-0425602","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8435,"fairsharing_record_id":1687,"organisation_id":2942,"relation":"funds","created_at":"2021-09-30T09:32:38.485Z","updated_at":"2021-09-30T09:32:38.538Z","grant_id":1713,"is_lead":false,"saved_state":{"id":2942,"name":"United States Department of Energy-GTL","grant":"DE-FG02-08ER64516","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":464,"fairsharing_record_id":1687,"organisation_id":2942,"relation":"funds","created_at":"2021-09-30T09:24:32.692Z","updated_at":"2021-09-30T09:29:57.336Z","grant_id":485,"is_lead":false,"saved_state":{"id":2942,"name":"United States Department of Energy-GTL","grant":"DE-FG02-07ER64506","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":462,"fairsharing_record_id":1687,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:24:32.616Z","updated_at":"2021-09-30T09:31:15.367Z","grant_id":1089,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","grant":"#495.01","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7948,"fairsharing_record_id":1687,"organisation_id":2942,"relation":"funds","created_at":"2021-09-30T09:30:01.300Z","updated_at":"2021-09-30T09:30:01.337Z","grant_id":517,"is_lead":false,"saved_state":{"id":2942,"name":"United States Department of Energy-GTL","grant":"DE-FG02-02ER63445","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1693","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:54:13.707Z","metadata":{"doi":"10.25504/FAIRsharing.rkpmhn","name":"Termini-Oriented Protein Function INferred Database","status":"ready","contacts":[{"contact_name":"Philipp Lange","contact_email":"philipp.lange@ubc.ca"}],"homepage":"https://topfind.clip.msl.ubc.ca/","citations":[],"identifier":1693,"description":"The Termini-Oriented Protein Function INferred Database (TopFIND) is an integrated knowledgebase focused on protein termini, their formation by proteases and functional implications. It contains information about the processing and the processing state of proteins and functional implications thereof derived from research literature, contributions by the scientific community and biological databases.","abbreviation":"TopFIND","data_curation":{"url":"https://topfind.clip.msl.ubc.ca/documentations/about","type":"manual"},"support_links":[{"url":"topfind.clip@gmail.com","name":"General Contact","type":"Support email"},{"url":"http://clipserve.clip.ubc.ca/topfind/documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/TopFIND","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012721","name":"re3data:r3d100012721","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008918","name":"SciCrunch:RRID:SCR_008918","portal":"SciCrunch"}],"data_access_condition":{"url":"https://topfind.clip.msl.ubc.ca/documentations/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://topfind.clip.msl.ubc.ca/contribute/index","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000149","bsg-d000149"],"name":"FAIRsharing record for: Termini-Oriented Protein Function INferred Database","abbreviation":"TopFIND","url":"https://fairsharing.org/10.25504/FAIRsharing.rkpmhn","doi":"10.25504/FAIRsharing.rkpmhn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Termini-Oriented Protein Function INferred Database (TopFIND) is an integrated knowledgebase focused on protein termini, their formation by proteases and functional implications. It contains information about the processing and the processing state of proteins and functional implications thereof derived from research literature, contributions by the scientific community and biological databases.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12610}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Proteolytic digest","Protein domain","Evidence","Annotation","Sequence annotation","Network model","C-terminal amino acid residue","N-terminal amino acid residue","Alternative splicing","Translation initiation","Protein C-terminus binding","Protein modification","Protein N-terminus binding","Molecular interaction","Protocol","Protease cleavage","Amino acid sequence","Protease site"],"taxonomies":["Arabidopsis thaliana","Escherichia coli","Homo sapiens","Mus musculus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":616,"pubmed_id":25332401,"title":"Proteome TopFIND 3.0 with TopFINDer and PathFINDer: database and analysis tools for the association of protein termini to pre- and post-translational events.","year":2014,"url":"http://doi.org/10.1093/nar/gku1012","authors":"Fortelny N,Yang S,Pavlidis P,Lange PF,Overall CM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1012","created_at":"2021-09-30T08:23:27.766Z","updated_at":"2021-09-30T11:28:48.217Z"},{"id":1287,"pubmed_id":21822272,"title":"TopFIND, a knowledgebase linking protein termini with function.","year":2011,"url":"http://doi.org/10.1038/nmeth.1669","authors":"Lange PF., Overall CM.,","journal":"Nature Methods","doi":"10.1038/nmeth.1669","created_at":"2021-09-30T08:24:43.650Z","updated_at":"2021-09-30T08:24:43.650Z"},{"id":1304,"pubmed_id":22102574,"title":"TopFIND 2.0—linking protein termini with proteolytic processing and modifications altering protein function","year":2011,"url":"http://doi.org/10.1093/nar/gkr1025","authors":"Philipp F Lange, Pitter F Huesgen, Christopher M Overall","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1025","created_at":"2021-09-30T08:24:45.601Z","updated_at":"2021-09-30T08:24:45.601Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":2065,"relation":"undefined"},{"licence_name":"TopFIND Data Policies and Disclaimer","licence_id":789,"licence_url":"https://topfind.clip.msl.ubc.ca/documentations/license","link_id":2064,"relation":"undefined"}],"grants":[{"id":475,"fairsharing_record_id":1693,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:33.100Z","updated_at":"2021-09-30T09:24:33.100Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1694","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:28.659Z","metadata":{"doi":"10.25504/FAIRsharing.fwzf0w","name":"Therapeutic Target Database","status":"ready","contacts":[{"contact_name":"Ying Zhou ","contact_email":"zhou_ying@zju.edu.cn","contact_orcid":null},{"contact_name":"Yintao Zhang","contact_email":"zhangyintao@zju.edu.cn","contact_orcid":null}],"homepage":"http://db.idrblab.net/ttd/","citations":[],"identifier":1694,"description":"The Therapeutic Target Database provides information about therapeutic protein and nucleic acid targets, the targeted disease, pathway information and the corresponding drugs directed at each of these targets. Also included in this database are links to relevant databases containing information about target function, sequence, 3D structure, ligand binding properties, enzyme nomenclature and drug structure, therapeutic class, clinical development status. All information is fully referenced.","abbreviation":"TTD","data_curation":{"type":"automated"},"support_links":[{"url":"http://db.idrblab.net/ttd/schema","name":"Database Schema","type":"Help documentation"},{"url":"http://db.idrblab.net/ttd/ontology","name":"Adopted Ontology","type":"Help documentation"},{"url":"http://db.idrblab.net/ttd/searchengine","name":"Search Engine","type":"Help documentation"},{"url":"http://db.idrblab.net/ttd/statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000150","bsg-d000150"],"name":"FAIRsharing record for: Therapeutic Target Database","abbreviation":"TTD","url":"https://fairsharing.org/10.25504/FAIRsharing.fwzf0w","doi":"10.25504/FAIRsharing.fwzf0w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Therapeutic Target Database provides information about therapeutic protein and nucleic acid targets, the targeted disease, pathway information and the corresponding drugs directed at each of these targets. Also included in this database are links to relevant databases containing information about target function, sequence, 3D structure, ligand binding properties, enzyme nomenclature and drug structure, therapeutic class, clinical development status. All information is fully referenced.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12611}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Citation","Enzyme Commission number","Protein structure","Annotation","Drug","Drug combination effect modeling","Drug metabolic process","Ligand binding domain binding","Natural product","Disease","Quantitative structure-activity relationship","Amino acid sequence","Target"],"taxonomies":["All"],"user_defined_tags":["COVID-19","Multi-target agents data","Validation"],"countries":["China","Singapore"],"publications":[{"id":210,"pubmed_id":19933260,"title":"Update of TTD: Therapeutic Target Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1014","authors":"Zhu F., Han B., Kumar P., Liu X., Ma X., Wei X., Huang L., Guo Y., Han L., Zheng C., Chen Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1014","created_at":"2021-09-30T08:22:42.840Z","updated_at":"2021-09-30T08:22:42.840Z"},{"id":211,"pubmed_id":11752352,"title":"TTD: Therapeutic Target Database.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.412","authors":"Chen X., Ji ZL., Chen YZ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.412","created_at":"2021-09-30T08:22:42.940Z","updated_at":"2021-09-30T08:22:42.940Z"},{"id":1348,"pubmed_id":24265219,"title":"Therapeutic target database update 2014: a resource for targeted therapeutics.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1129","authors":"Qin C,Zhang C,Zhu F,Xu F,Chen SY,Zhang P,Li YH,Yang SY,Wei YQ,Tao L,Chen YZ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1129","created_at":"2021-09-30T08:24:50.857Z","updated_at":"2021-09-30T11:29:06.234Z"},{"id":1349,"pubmed_id":26578601,"title":"Therapeutic target database update 2016: enriched resource for bench to clinical drug target and targeted pathway information.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1230","authors":"Yang H,Qin C,Li YH,Tao L,Zhou J,Yu CY,Xu F,Chen Z,Zhu F,Chen YZ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1230","created_at":"2021-09-30T08:24:50.957Z","updated_at":"2021-09-30T11:29:06.334Z"},{"id":3207,"pubmed_id":34718717,"title":"Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents.","year":2022,"url":"https://doi.org/10.1093/nar/gkab953","authors":"Zhou Y, Zhang Y, Lian X, Li F, Wang C, Zhu F, Qiu Y, Chen Y","journal":"Nucleic acids research","doi":"10.1093/nar/gkab953","created_at":"2022-02-01T15:54:32.946Z","updated_at":"2022-02-01T15:54:32.946Z"}],"licence_links":[],"grants":[{"id":478,"fairsharing_record_id":1694,"organisation_id":2085,"relation":"maintains","created_at":"2021-09-30T09:24:33.181Z","updated_at":"2021-09-30T09:24:33.181Z","grant_id":null,"is_lead":true,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":477,"fairsharing_record_id":1694,"organisation_id":2571,"relation":"funds","created_at":"2021-09-30T09:24:33.156Z","updated_at":"2021-09-30T09:31:29.958Z","grant_id":1198,"is_lead":false,"saved_state":{"id":2571,"name":"Singapore Academic Research Fund","grant":"R-148-000-208-112","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":476,"fairsharing_record_id":1694,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:33.132Z","updated_at":"2021-09-30T09:32:21.704Z","grant_id":1585,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81202459","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBGdz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e61a4215e734df6889073172e0f8702290c0d746/ttd_banner2022.png?disposition=inline","exhaustive_licences":false}},{"id":"1695","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:16.063Z","metadata":{"doi":"10.25504/FAIRsharing.12yd2z","name":"The UCSC Archaeal Genome Browser","status":"ready","contacts":[{"contact_name":"Todd M. Lowe","contact_email":"lowe@soe.ucsc.edu"}],"homepage":"http://archaea.ucsc.edu","citations":[],"identifier":1695,"description":"The UCSC Archaeal Genome Browser is a window on the biology of more than 100 microbial species from the domain Archaea. Basic gene annotation is derived from NCBI Genbank/RefSeq entries, with overlays of sequence conservation across multiple species, nucleotide and protein motifs, non-coding RNA predictions, operon predictions, and other types of bioinformatic analyses. In addition, we display available gene expression data (microarray or high-throughput RNA sequencing). Direct contributions or notices of publication of functional genomic data or bioinformatic analyses from archaeal research labs are very welcome.","abbreviation":null,"data_curation":{"type":"automated"},"support_links":[{"url":"http://archaea.ucsc.edu/FAQ/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://archaea.ucsc.edu/goldenPath/help/hgTracksHelp.html","type":"Help documentation"},{"url":"http://archaea.ucsc.edu/feed/","type":"Blog/News"}],"year_creation":2005,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000151","bsg-d000151"],"name":"FAIRsharing record for: The UCSC Archaeal Genome Browser","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.12yd2z","doi":"10.25504/FAIRsharing.12yd2z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UCSC Archaeal Genome Browser is a window on the biology of more than 100 microbial species from the domain Archaea. Basic gene annotation is derived from NCBI Genbank/RefSeq entries, with overlays of sequence conservation across multiple species, nucleotide and protein motifs, non-coding RNA predictions, operon predictions, and other types of bioinformatic analyses. In addition, we display available gene expression data (microarray or high-throughput RNA sequencing). Direct contributions or notices of publication of functional genomic data or bioinformatic analyses from archaeal research labs are very welcome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["GC content","Genome map","Nucleic acid sequence alignment","Expression data","DNA sequence data","RNA sequence","Sequence annotation","Operon prediction","Transcription factor binding site prediction","Multiple sequence alignment","Computational biological predictions","Gene functional annotation","Promoter","Non-coding RNA","Orthologous","Paralogous","Insertion sequence","CRISPR"],"taxonomies":["Archaea","Plasmodium falciparum"],"user_defined_tags":["Palindromic transcription factor (TF) binding site predictions","Poly T motifs as possible transcription termination signals"],"countries":["United States"],"publications":[{"id":201,"pubmed_id":16381898,"title":"The UCSC Archaeal Genome Browser.","year":2005,"url":"http://doi.org/10.1093/nar/gkj134","authors":"Schneider KL., Pollard KS., Baertsch R., Pohl A., Lowe TM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj134","created_at":"2021-09-30T08:22:41.958Z","updated_at":"2021-09-30T08:22:41.958Z"},{"id":202,"pubmed_id":14681465,"title":"The UCSC Table Browser data retrieval tool.","year":2003,"url":"http://doi.org/10.1093/nar/gkh103","authors":"Karolchik D., Hinrichs AS., Furey TS., Roskin KM., Sugnet CW., Haussler D., Kent WJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh103","created_at":"2021-09-30T08:22:42.065Z","updated_at":"2021-09-30T08:22:42.065Z"},{"id":203,"pubmed_id":11932250,"title":"BLAT--the BLAST-like alignment tool.","year":2002,"url":"http://doi.org/10.1101/gr.229202","authors":"Kent WJ.,","journal":"Genome Res.","doi":"10.1101/gr.229202","created_at":"2021-09-30T08:22:42.164Z","updated_at":"2021-09-30T08:22:42.164Z"}],"licence_links":[],"grants":[{"id":480,"fairsharing_record_id":1695,"organisation_id":3037,"relation":"maintains","created_at":"2021-09-30T09:24:33.231Z","updated_at":"2021-09-30T09:24:33.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":482,"fairsharing_record_id":1695,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:33.282Z","updated_at":"2021-09-30T09:24:33.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":479,"fairsharing_record_id":1695,"organisation_id":684,"relation":"maintains","created_at":"2021-09-30T09:24:33.205Z","updated_at":"2021-09-30T09:24:33.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":684,"name":"Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":481,"fairsharing_record_id":1695,"organisation_id":406,"relation":"maintains","created_at":"2021-09-30T09:24:33.255Z","updated_at":"2021-09-30T09:24:33.255Z","grant_id":null,"is_lead":false,"saved_state":{"id":406,"name":"Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1696","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:45.450Z","metadata":{"doi":"10.25504/FAIRsharing.x2vch3","name":"Virulence Factor Database","status":"ready","contacts":[{"contact_name":"Jian Yang","contact_email":"yangj@ipbcams.ac.cn"}],"homepage":"http://www.mgc.ac.cn/VFs/","citations":[],"identifier":1696,"description":"VFDB is an integrated and comprehensive database of virulence factors for bacterial pathogens (also including Chlamydia and Mycoplasma).","abbreviation":"VFDB","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgki008","type":"manual/automated"},"support_links":[{"url":"http://www.mgc.ac.cn/VFs/faq.htm","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.mgc.ac.cn/VFs/help.htm","name":"Database conventions","type":"Help documentation"},{"url":"http://www.mgc.ac.cn/VFs/feedback.htm","name":"Feedback","type":"Contact form"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://www.mgc.ac.cn/cgi-bin/VFs/v5/main.cgi","name":"JavaScript-rich interface with VFanalyzer"}],"data_access_condition":{"url":"http://www.mgc.ac.cn/VFs/main.htm","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093%2Fnar%2Fgki008","type":"open","notes":"Submission either through the ‘Feedback’ form or by email"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000153","bsg-d000153"],"name":"FAIRsharing record for: Virulence Factor Database","abbreviation":"VFDB","url":"https://fairsharing.org/10.25504/FAIRsharing.x2vch3","doi":"10.25504/FAIRsharing.x2vch3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VFDB is an integrated and comprehensive database of virulence factors for bacterial pathogens (also including Chlamydia and Mycoplasma).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Microbiology"],"domains":["Citation","DNA sequence data","Gene model annotation","Pathogen","Disease","Classification","Virulence","Pseudogene"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":44,"pubmed_id":15608208,"title":"VFDB: a reference database for bacterial virulence factors.","year":2004,"url":"http://doi.org/10.1093/nar/gki008","authors":"Chen L., Yang J., Yu J., Yao Z., Sun L., Shen Y., Jin Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki008","created_at":"2021-09-30T08:22:25.146Z","updated_at":"2021-09-30T08:22:25.146Z"},{"id":217,"pubmed_id":17984080,"title":"VFDB 2008 release: an enhanced web-based resource for comparative pathogenomics.","year":2007,"url":"http://doi.org/10.1093/nar/gkm951","authors":"Yang J., Chen L., Sun L., Yu J., Jin Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm951","created_at":"2021-09-30T08:22:43.539Z","updated_at":"2021-09-30T08:22:43.539Z"}],"licence_links":[],"grants":[{"id":483,"fairsharing_record_id":1696,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:33.305Z","updated_at":"2021-09-30T09:31:12.991Z","grant_id":1068,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2005CB522904","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":485,"fairsharing_record_id":1696,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:33.361Z","updated_at":"2021-09-30T09:31:50.369Z","grant_id":1350,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30600022","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":484,"fairsharing_record_id":1696,"organisation_id":1435,"relation":"maintains","created_at":"2021-09-30T09:24:33.331Z","updated_at":"2021-09-30T09:24:33.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":1435,"name":"Institute of Pathogen Biology, Chinese Academy of Medical Sciences \u0026 Peking Union Medical College (CAMS\u0026PUMC), Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1681","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:32.425Z","metadata":{"doi":"10.25504/FAIRsharing.62evqh","name":"neXtProt","status":"ready","contacts":[{"contact_name":"Monique Zahn","contact_email":"monique.zahn@sib.swiss","contact_orcid":"0000-0001-7961-6091"}],"homepage":"https://www.nextprot.org","citations":[{"doi":"10.1093/nar/gkz995","pubmed_id":31724716,"publication_id":2777}],"identifier":1681,"description":"neXtProt is a comprehensive human-centric discovery platform, offering its users a seamless integration of and navigation through protein-related data.","abbreviation":"neXtProt","data_curation":{"url":"https://www.nextprot.org/help/faq#10","type":"manual/automated"},"support_links":[{"url":"support@nextprot.org","type":"Support email"},{"url":"https://www.nextprot.org/help/simple-search","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/a-critical-guide-to-the-nextprot-knowledgebase-querying-using-sparql","name":"A Critical Guide to the neXtProt knowledgebase: querying using SPARQL","type":"TeSS links to training materials"},{"url":"https://en.wikipedia.org/wiki/NeXtProt","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://www.nextprot.org/proteins/search?mode=advanced","name":"Advanced search"},{"url":"https://www.nextprot.org/tools/unicity-checker","name":"Peptide Unicity checker"},{"url":"https://www.nextprot.org/tools/protein-digestion","name":"Protein digestion"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.nextprot.org/help/faq#11","type":"controlled","notes":"Large, high quality data sets on human proteins can be submitted."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000137","bsg-d000137"],"name":"FAIRsharing record for: neXtProt","abbreviation":"neXtProt","url":"https://fairsharing.org/10.25504/FAIRsharing.62evqh","doi":"10.25504/FAIRsharing.62evqh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: neXtProt is a comprehensive human-centric discovery platform, offering its users a seamless integration of and navigation through protein-related data.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11325},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12158},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15066}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Sequence annotation","Genetic polymorphism","Protein expression","Curated information","Sequence variant","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Functional impact of genetic variants"],"countries":["Switzerland"],"publications":[{"id":178,"pubmed_id":22139911,"title":"neXtProt: a knowledge platform for human proteins.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1179","authors":"Lane L., Argoud-Puy G., Britan A., Cusin I., Duek PD., Evalet O., Gateau A., Gaudet P., Gleizes A., Masselot A., Zwahlen C., Bairoch A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1179","created_at":"2021-09-30T08:22:39.489Z","updated_at":"2021-09-30T08:22:39.489Z"},{"id":1783,"pubmed_id":25593349,"title":"The neXtProt knowledgebase on human proteins: current status.","year":2015,"url":"http://doi.org/10.1093/nar/gku1178","authors":"Gaudet P, Michel PA, Zahn-Zabal M, Cusin I, Duek PD, Evalet O, Gateau A, Gleizes A, Pereira M, Teixeira D, Zhang Y, Lane L, Bairoch A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku1178.","created_at":"2021-09-30T08:25:40.105Z","updated_at":"2021-09-30T08:25:40.105Z"},{"id":2050,"pubmed_id":27899619,"title":"The neXtProt knowledgebase on human proteins: 2017 update.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1062","authors":"Gaudet P, Michel PA, Zahn-Zabal M, Britan A, Cusin I, Domagalski M, Duek PD, Gateau A, Gleizes A, Hinard V, Rech de Laval V, Lin J, Nikitin F, Schaeffer M, Teixeira D, Lane L, Bairoch A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw1062.","created_at":"2021-09-30T08:26:10.975Z","updated_at":"2021-09-30T08:26:10.975Z"},{"id":2776,"pubmed_id":23205526,"title":"neXtProt: organizing protein knowledge in the context of human proteome projects.","year":2012,"url":"http://doi.org/10.1021/pr300830v","authors":"Gaudet P, Argoud-Puy G, Cusin I, Duek P, Evalet O, Gateau A, Gleizes A, Pereira M, Zahn-Zabal M, Zwahlen C, Bairoch A, Lane L.","journal":"J Proteome Res","doi":"10.1021/pr300830v.","created_at":"2021-09-30T08:27:41.284Z","updated_at":"2021-09-30T08:27:41.284Z"},{"id":2777,"pubmed_id":31724716,"title":"The neXtProt knowledgebase in 2020: data, tools and usability improvements.","year":2019,"url":"http://doi.org/10.1093/nar/gkz995","authors":"Zahn-Zabal M,Michel PA,Gateau A,Nikitin F,Schaeffer M,Audot E,Gaudet P,Duek PD,Teixeira D,Rech de Laval V,Samarasinghe K,Bairoch A,Lane L","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz995","created_at":"2021-09-30T08:27:41.404Z","updated_at":"2021-09-30T11:29:44.003Z"}],"licence_links":[{"licence_name":"NextProt Data Policies and Disclaimer","licence_id":574,"licence_url":"https://www.nextprot.org/legal-disclaimer/","link_id":165,"relation":"undefined"}],"grants":[{"id":442,"fairsharing_record_id":1681,"organisation_id":587,"relation":"maintains","created_at":"2021-09-30T09:24:31.836Z","updated_at":"2021-09-30T09:24:31.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":587,"name":"Computer and Laboratory Investigation of Proteins of Human Origin Group (CALIPHO), Swiss Institute of Bioinformatics, Geneva, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":444,"fairsharing_record_id":1681,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:31.915Z","updated_at":"2021-09-30T09:24:31.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":443,"fairsharing_record_id":1681,"organisation_id":563,"relation":"funds","created_at":"2021-09-30T09:24:31.877Z","updated_at":"2021-09-30T09:32:10.213Z","grant_id":1499,"is_lead":false,"saved_state":{"id":563,"name":"Commission for Technology and Innovation (CTI), Bern, Switzerland","grant":"10214.1 PFLS-LS","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1689","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T08:43:42.209Z","metadata":{"doi":"10.25504/FAIRsharing.29zsb8","name":"SNPedia","status":"ready","contacts":[{"contact_name":"Support email","contact_email":"info@snpedia.com"}],"homepage":"http://SNPedia.com","citations":[],"identifier":1689,"description":"SNPedia is a wiki resource of the functional consequences of human genetic variation as published in peer-reviewed studies. Entries are formatted to allow associations to be assigned to single genotypes as well as sets of genotypes (genosets). Curation occurs through editorial, community/user, and semi-automated processes.","abbreviation":"SNPedia","data_curation":{"type":"manual","notes":"Curation occurs through editorial, community/user, and semi-automated processes."},"support_links":[{"url":"http://snpedia.com/index.php/SNPedia:FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://snpedia.com/index.php/SNPedia:About","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/SNPedia","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000145","bsg-d000145"],"name":"FAIRsharing record for: SNPedia","abbreviation":"SNPedia","url":"https://fairsharing.org/10.25504/FAIRsharing.29zsb8","doi":"10.25504/FAIRsharing.29zsb8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SNPedia is a wiki resource of the functional consequences of human genetic variation as published in peer-reviewed studies. Entries are formatted to allow associations to be assigned to single genotypes as well as sets of genotypes (genosets). Curation occurs through editorial, community/user, and semi-automated processes.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11053}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genetics","Life Science","Biomedical Science"],"domains":["Genetic polymorphism","Curated information","Single nucleotide polymorphism","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1140,"pubmed_id":22140107,"title":"SNPedia: a wiki supporting personal genome annotation, interpretation and analysis.","year":2011,"url":"http://doi.org/10.1093/nar/gkr798","authors":"Cariaso M,Lennon G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr798","created_at":"2021-09-30T08:24:26.705Z","updated_at":"2021-09-30T11:29:00.485Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States (CC BY-NC-SA 3.0 US)","licence_id":185,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/us/","link_id":155,"relation":"undefined"}],"grants":[{"id":12022,"fairsharing_record_id":1689,"organisation_id":4429,"relation":"maintains","created_at":"2024-07-04T08:40:59.399Z","updated_at":"2024-07-04T08:40:59.399Z","grant_id":null,"is_lead":true,"saved_state":{"id":4429,"name":"MyHeritage","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1690","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:23.576Z","metadata":{"doi":"10.25504/FAIRsharing.2ck3st","name":"SubtiWiki","status":"ready","contacts":[{"contact_name":"Jörg Stülke","contact_email":"jstuelk@gwdg.de"}],"homepage":"http://subtiwiki.uni-goettingen.de","citations":[],"identifier":1690,"description":"Collaborative resource for the Bacillus community.","abbreviation":"SubtiWiki","data_curation":{"type":"manual"},"support_links":[{"url":"http://subtiwiki.uni-goettingen.de/static/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://subtiwiki.uni-goettingen.de/wiki/index.php/Main_Page","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000146","bsg-d000146"],"name":"FAIRsharing record for: SubtiWiki","abbreviation":"SubtiWiki","url":"https://fairsharing.org/10.25504/FAIRsharing.2ck3st","doi":"10.25504/FAIRsharing.2ck3st","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Collaborative resource for the Bacillus community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Molecular interaction","Genetic interaction","Plasmid","Gene"],"taxonomies":["Bacillus subtilis"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":207,"pubmed_id":20157485,"title":"A community-curated consensual annotation that is continuously updated: the Bacillus subtilis centred wiki SubtiWiki.","year":2010,"url":"http://doi.org/10.1093/database/bap012","authors":"Flórez LA., Roppel SF., Schmeisky AG., Lammers CR., Stülke J.,","journal":"Database (Oxford)","doi":"10.1093/database/bap012","created_at":"2021-09-30T08:22:42.539Z","updated_at":"2021-09-30T08:22:42.539Z"},{"id":1396,"pubmed_id":19959575,"title":"Connecting parts with processes: SubtiWiki and SubtiPathways integrate gene and pathway annotation for Bacillus subtilis.","year":2009,"url":"http://doi.org/10.1099/mic.0.035790-0","authors":"Lammers CR., Flórez LA., Schmeisky AG., Roppel SF., Mäder U., Hamoen L., Stülke J.,","journal":"Microbiology (Reading, Engl.)","doi":"10.1099/mic.0.035790-0","created_at":"2021-09-30T08:24:56.076Z","updated_at":"2021-09-30T08:24:56.076Z"},{"id":2250,"pubmed_id":26433225,"title":"SubtiWiki 2.0--an integrated database for the model organism Bacillus subtilis.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1006","authors":"Michna RH,Zhu B,Mader U,Stulke J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1006","created_at":"2021-09-30T08:26:33.648Z","updated_at":"2021-09-30T11:29:31.595Z"}],"licence_links":[],"grants":[{"id":469,"fairsharing_record_id":1690,"organisation_id":1127,"relation":"maintains","created_at":"2021-09-30T09:24:32.877Z","updated_at":"2021-09-30T09:24:32.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":1127,"name":"Georg-August-Universitat Gottingen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9347,"fairsharing_record_id":1690,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.081Z","updated_at":"2022-04-11T12:07:32.098Z","grant_id":17,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"PtJ-BIO/0313978D","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1691","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:23:00.409Z","metadata":{"doi":"10.25504/FAIRsharing.se4zhk","name":"SuperTarget","status":"deprecated","contacts":[{"contact_name":"Robert Preissner","contact_email":"robert.preissner@charite.de"}],"homepage":"http://bioinformatics.charite.de/supertarget","citations":[],"identifier":1691,"description":"Drug-related information: medical indications, adverse drug effects, drug metabolism and Gene Ontology terms of the target proteins.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://bioinformatics.charite.de/supertarget/index.php?site=about","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012195","name":"re3data:r3d100012195","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002696","name":"SciCrunch:RRID:SCR_002696","portal":"SciCrunch"}],"deprecation_date":"2022-02-07","deprecation_reason":"The homepage for this resource currently unavailable, but should be accessible in the future.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000147","bsg-d000147"],"name":"FAIRsharing record for: SuperTarget","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.se4zhk","doi":"10.25504/FAIRsharing.se4zhk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Drug-related information: medical indications, adverse drug effects, drug metabolism and Gene Ontology terms of the target proteins.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11765}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme Commission number","Sequence similarity","Chemical structure","Anatomical Therapeutic Chemical Code","Gene Ontology enrichment","Drug","Target"],"taxonomies":["All"],"user_defined_tags":["Synonyms"],"countries":["Germany"],"publications":[{"id":200,"pubmed_id":17942422,"title":"SuperTarget and Matador: resources for exploring drug-target relationships.","year":2007,"url":"http://doi.org/10.1093/nar/gkm862","authors":"Günther S., Kuhn M., Dunkel M., Campillos M., Senger C., Petsalaki E., Ahmed J., Urdiales EG., Gewiess A., Jensen LJ., Schneider R., Skoblo R., Russell RB., Bourne PE., Bork P., Preissner R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm862","created_at":"2021-09-30T08:22:41.864Z","updated_at":"2021-09-30T08:22:41.864Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":156,"relation":"undefined"}],"grants":[{"id":470,"fairsharing_record_id":1691,"organisation_id":2660,"relation":"maintains","created_at":"2021-09-30T09:24:32.907Z","updated_at":"2021-09-30T09:24:32.907Z","grant_id":null,"is_lead":false,"saved_state":{"id":2660,"name":"Structural Bioinformatics Group, Institute of Molecular Biology and Bioinformatics, Charit-University Medicine Berlin, Arnimallee 22, 14195 Berlin, Germany.","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1697","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-11T08:09:09.802Z","metadata":{"doi":"10.25504/FAIRsharing.2qx8n8","name":"Virus Pathogen Database and Analysis Resource","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"rscheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"http://www.viprbrc.org","citations":[{"doi":"10.1016/b978-0-12-809633-8.20995-3","pubmed_id":null,"publication_id":3507}],"identifier":1697,"description":"The Virus Pathogen Database and Analysis Resource (ViPR) is an integrated repository of data and analysis tools for multiple virus families, supported by the National Institute of Allergy and Infectious Diseases (NIAID) Bioinformatics Resource Centers (BRC) program. ViPR captures various types of information, including sequence records, gene and protein annotations, 3D protein structures, immune epitope locations, clinical and surveillance metadata and novel data derived from comparative genomics analysis. The database is available without charge as a service to the virology research community to help facilitate the development of diagnostics, prophylactics and therapeutics for priority pathogens and other viruses.","abbreviation":"ViPR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"feedback@virusbrc.org","type":"Support email"},{"url":"https://www.viprbrc.org/brc/staticContent.spg?decorator=vipr\u0026type=ViprInfo\u0026subtype=FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.viprbrc.org/brcDocs/ViPRHelp/ViPRhelpfile.htm","type":"Help documentation"},{"url":"https://www.viprbrc.org/brc/problemReport.spg?decorator=vipr","name":"","type":"Contact form"},{"url":"https://www.viprbrc.org/brc/viprTutorials.spg?decorator=vipr","type":"Training documentation"},{"url":"https://github.com/VirusBRC","name":"","type":"Github"},{"url":"https://www.viprbrc.org/brc/newslettersVipr.spg?method=release\u0026decorator=vipr","name":"Virus Pathogen Resource Newsletters","type":"Blog/News"},{"url":"https://www.viprbrc.org/brc/staticContent.spg?decorator=vipr\u0026type=Document\u0026param=vipr-data-standards.html","name":"Data Standards","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://www.viprbrc.org/brc/mgc.spg?method=ShowCleanInputPage\u0026","name":"Metadata-driven Comparative Analysis Tool for Sequences (meta-CATS)"},{"url":"http://www.viprbrc.org/brc/msa.spg?method=ShowCleanInputPage\u0026","name":"Multiple sequence alignment calculation and visualization"},{"url":"http://www.viprbrc.org/brc/tree.spg?method=ShowCleanInputPage\u0026","name":"Phylogenetic tree calculation and visualization"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011931","name":"re3data:r3d100011931","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012983","name":"SciCrunch:RRID:SCR_012983","portal":"SciCrunch"}],"deprecation_date":"2023-07-11","deprecation_reason":"Virus Pathogen Database and Analysis Resource (ViPR) has been shut down/deprecated and replaced by the Bacterial and Viral Bioinformatics Resource Center (BV-BRC).","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000154","bsg-d000154"],"name":"FAIRsharing record for: Virus Pathogen Database and Analysis Resource","abbreviation":"ViPR","url":"https://fairsharing.org/10.25504/FAIRsharing.2qx8n8","doi":"10.25504/FAIRsharing.2qx8n8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Virus Pathogen Database and Analysis Resource (ViPR) is an integrated repository of data and analysis tools for multiple virus families, supported by the National Institute of Allergy and Infectious Diseases (NIAID) Bioinformatics Resource Centers (BRC) program. ViPR captures various types of information, including sequence records, gene and protein annotations, 3D protein structures, immune epitope locations, clinical and surveillance metadata and novel data derived from comparative genomics analysis. The database is available without charge as a service to the virology research community to help facilitate the development of diagnostics, prophylactics and therapeutics for priority pathogens and other viruses.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10762},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12298},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12612}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Proteomics","Virology","Life Science","Biomedical Science","Epidemiology"],"domains":["Expression data","Structure","Sequence feature"],"taxonomies":["Arenaviridae","Bunyaviridae","Caliciviridae","Coronaviridae","Filoviridae","Flaviviridae","Hepeviridae","Herpesviridae","Paramyxoviridae","Picornaviridae","Poxviridae","Reoviridae","Rhabdoviridae","Togaviridae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1310,"pubmed_id":22006842,"title":"ViPR: an open bioinformatics database and analysis resource for virology research.","year":2011,"url":"http://doi.org/10.1093/nar/gkr859","authors":"Pickett BE., Sadat EL., Zhang Y., Noronha JM., Squires RB., Hunt V., Liu M., Kumar S., Zaremba S., Gu Z., Zhou L., Larson CN., Dietrich J., Klem EB., Scheuermann RH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr859","created_at":"2021-09-30T08:24:46.267Z","updated_at":"2021-09-30T08:24:46.267Z"},{"id":3341,"pubmed_id":null,"title":"Virus Pathogen Database and Analysis Resource (ViPR): A Comprehensive Bioinformatics Database and Analysis Resource for the Coronavirus Research Community","year":2012,"url":"http://dx.doi.org/10.3390/v4113209","authors":"Pickett, Brett; Greer, Douglas; Zhang, Yun; Stewart, Lucy; Zhou, Liwei; Sun, Guangyu; Gu, Zhiping; Kumar, Sanjeev; Zaremba, Sam; Larsen, Christopher; Jen, Wei; Klem, Edward; Scheuermann, Richard; ","journal":"Viruses","doi":"10.3390/v4113209","created_at":"2022-04-29T15:01:37.918Z","updated_at":"2022-04-29T15:01:37.918Z"},{"id":3506,"pubmed_id":null,"title":"Virus Databases ☆","year":2017,"url":"http://dx.doi.org/10.1016/B978-0-12-801238-3.95728-3","authors":"McLeod, Kathleen; Upton, Chris; ","journal":"Reference Module in Biomedical Sciences","doi":"10.1016/b978-0-12-801238-3.95728-3","created_at":"2022-08-02T14:47:22.387Z","updated_at":"2022-08-02T14:47:22.387Z"},{"id":3507,"pubmed_id":null,"title":"Database and Analytical Resources for Viral Research Community","year":2019,"url":"http://dx.doi.org/10.1016/B978-0-12-809633-8.20995-3","authors":"Phadke, Sujal; Macherla, Saichetana; Scheuermann, Richard H.; ","journal":"Encyclopedia of Virology","doi":"10.1016/b978-0-12-809633-8.20995-3","created_at":"2022-08-02T14:47:43.108Z","updated_at":"2022-08-02T14:47:43.108Z"}],"licence_links":[],"grants":[{"id":490,"fairsharing_record_id":1697,"organisation_id":2183,"relation":"maintains","created_at":"2021-09-30T09:24:33.593Z","updated_at":"2021-09-30T09:24:33.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":2183,"name":"Northrop Grumman Health IT","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":486,"fairsharing_record_id":1697,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:24:33.411Z","updated_at":"2021-09-30T09:24:33.411Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":489,"fairsharing_record_id":1697,"organisation_id":3179,"relation":"maintains","created_at":"2021-09-30T09:24:33.554Z","updated_at":"2021-09-30T09:24:33.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":3179,"name":"Vecna Technologies","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":488,"fairsharing_record_id":1697,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:33.512Z","updated_at":"2021-09-30T09:30:24.164Z","grant_id":696,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":487,"fairsharing_record_id":1697,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:33.472Z","updated_at":"2021-09-30T09:30:09.096Z","grant_id":574,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01-AI2008038","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1680","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T08:59:55.285Z","metadata":{"doi":"10.25504/FAIRsharing.yytevr","name":"MetaCyc","status":"ready","contacts":[{"contact_name":"BioCyc Support","contact_email":"biocyc-support@ai.sri.com"}],"homepage":"http://metacyc.org/","citations":[],"identifier":1680,"description":"MetaCyc is the largest curated collection of metabolic pathways currently available. It provides a comprehensive resource for metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are experimentally determined, small-molecule metabolic pathways, and are curated from the primary scientific literature. Most reactions in MetaCyc pathways are linked to one or more well-characterized enzymes, and both pathways and enzymes are annotated with reviews, evidence codes, and literature citations. As of 2024 MetaCyc describes 3,150 pathways and 19,000 reactions curated from 76,000 publications.\nMetaCyc is a general reference on metabolic pathways, and is used for metabolic reconstruction from sequence genomes, and for gap-filling metabolic models.\n","abbreviation":null,"data_curation":{"url":"http://bioinformatics.ai.sri.com/ptools/curatorsguide.pdf","type":"manual","notes":"Curator guide for Pathway/Genome database"},"support_links":[{"url":"http://metacyc.org/contact.shtml","type":"Contact form"},{"url":"http://metacyc.org/MetaCycUserGuide.shtml","type":"Help documentation"},{"url":"https://twitter.com/BioCyc","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/MetaCyc","type":"Wikipedia"}],"year_creation":1999,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011294","name":"re3data:r3d100011294","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007778","name":"SciCrunch:RRID:SCR_007778","portal":"SciCrunch"}],"data_access_condition":{"url":"https://metacyc.org/login-help.shtml#why-account","type":"partially open","notes":"Creation of a free BioCyc account is required after an initial set of accesses even for paid subscribers."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://metacyc.org/MetaCycUserGuide.shtml","type":"controlled","notes":"If you are a Pathway Tools user and have created a pathway that fits our criteria, please send it to us."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000136","bsg-d000136"],"name":"FAIRsharing record for: MetaCyc","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.yytevr","doi":"10.25504/FAIRsharing.yytevr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaCyc is the largest curated collection of metabolic pathways currently available. It provides a comprehensive resource for metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are experimentally determined, small-molecule metabolic pathways, and are curated from the primary scientific literature. Most reactions in MetaCyc pathways are linked to one or more well-characterized enzymes, and both pathways and enzymes are annotated with reviews, evidence codes, and literature citations. As of 2024 MetaCyc describes 3,150 pathways and 19,000 reactions curated from 76,000 publications.\nMetaCyc is a general reference on metabolic pathways, and is used for metabolic reconstruction from sequence genomes, and for gap-filling metabolic models.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics","Systems Biology"],"domains":["Annotation","Omics data analysis","Small molecule","Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2583,"pubmed_id":22102576,"title":"The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1014","authors":"Caspi R., Altman T., Dreher K., Fulcher CA., Subhraveti P., Keseler IM., Kothari A., Krummenacker M., Latendresse M., Mueller LA., Ong Q., Paley S., Pujar A., Shearer AG., Travers M., Weerasinghe D., Zhang P., Karp PD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1014","created_at":"2021-09-30T08:27:16.713Z","updated_at":"2021-09-30T08:27:16.713Z"},{"id":2584,"pubmed_id":24225315,"title":"The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases","year":2013,"url":"http://doi.org/10.1093/nar/gkt1103","authors":"Caspi R, Altman T, Billington R, Dreher K, Foerster H, Fulcher CA, Holland TA, Keseler IM, Kothari A, Kubo A, Krummenacker M, Latendresse M, Mueller LA, Ong Q, Paley S, Subhraveti P, Weaver DS, Weerasinghe D, Zhang P, Karp PD.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1103","created_at":"2021-09-30T08:27:16.887Z","updated_at":"2021-09-30T08:27:16.887Z"},{"id":2585,"pubmed_id":26527732,"title":"The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1164","authors":"Caspi R,Billington R,Ferrer L,Foerster H,Fulcher CA,Keseler IM,Kothari A,Krummenacker M,Latendresse M,Mueller LA,Ong Q,Paley S,Subhraveti P,Weaver DS,Karp PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1164","created_at":"2021-09-30T08:27:17.001Z","updated_at":"2021-09-30T11:29:40.011Z"},{"id":4253,"pubmed_id":null,"title":"The Omics Dashboard for Interactive Exploration of Metabolomics and Multi-Omics Data","year":2024,"url":"http://dx.doi.org/10.3390/metabo14010065","authors":"Paley, Suzanne; Karp, Peter D.; ","journal":"Metabolites","doi":"10.3390/metabo14010065","created_at":"2024-04-16T17:47:53.879Z","updated_at":"2024-04-16T17:47:53.879Z"}],"licence_links":[{"licence_name":"BioCyc Database License","licence_id":78,"licence_url":"https://biocyc.org/download-flatfiles.shtml","link_id":672,"relation":"undefined"}],"grants":[{"id":440,"fairsharing_record_id":1680,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:24:31.752Z","updated_at":"2021-09-30T09:24:31.752Z","grant_id":null,"is_lead":true,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":439,"fairsharing_record_id":1680,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:31.715Z","updated_at":"2021-09-30T09:29:22.386Z","grant_id":218,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM080746","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":441,"fairsharing_record_id":1680,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:31.794Z","updated_at":"2021-09-30T09:31:21.775Z","grant_id":1135,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM75742","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7881,"fairsharing_record_id":1680,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:29:23.566Z","updated_at":"2021-09-30T09:29:23.617Z","grant_id":228,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM077678","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbHNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f8bba0a8f6ea7cc18e5e6809e0df7e0e4e705a55/metacyc.png?disposition=inline","exhaustive_licences":false}},{"id":"1688","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:57.655Z","metadata":{"doi":"10.25504/FAIRsharing.490xfb","name":"Stem Cell Discovery Engine","status":"deprecated","contacts":[{"contact_name":"Philippe Rocca-Serra","contact_email":"philippe.rocca-serra@oerc.ox.ac.uk","contact_orcid":"0000-0001-9853-5668"}],"homepage":"http://discovery.hsci.harvard.edu/","identifier":1688,"description":"Comparison system for cancer stem cell analysis","abbreviation":"SCDE","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://discovery.hsci.harvard.edu/galaxy/","name":"Galaxy gene list comparisons"}],"deprecation_date":"2015-04-21","deprecation_reason":"This resource is no longer maintained, and its data has now been merged with Stem Cell Commons as stated on the SCDE website (http://discovery.hsci.harvard.edu/).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000144","bsg-d000144"],"name":"FAIRsharing record for: Stem Cell Discovery Engine","abbreviation":"SCDE","url":"https://fairsharing.org/10.25504/FAIRsharing.490xfb","doi":"10.25504/FAIRsharing.490xfb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Comparison system for cancer stem cell analysis","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Life Science","Biomedical Science"],"domains":["Citation","Model organism","Cell","Antibody","Chromatin immunoprecipitation - DNA sequencing","Histology","Phenotype","Disease","Tissue","Genotype"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Raw microarray data","Surface protein markers"],"countries":["United States"],"publications":[{"id":1066,"pubmed_id":22121217,"title":"The Stem Cell Discovery Engine: an integrated repository and analysis system for cancer stem cell comparisons.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1051","authors":"Ho Sui SJ., Begley K., Reilly D., Chapman B., McGovern R., Rocca-Sera P., Maguire E., Altschuler GM., Hansen TA., Sompallae R., Krivtsov A., Shivdasani RA., Armstrong SA., Culhane AC., Correll M., Sansone SA., Hofmann O., Hide W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1051","created_at":"2021-09-30T08:24:18.073Z","updated_at":"2021-09-30T08:24:18.073Z"}],"licence_links":[],"grants":[{"id":465,"fairsharing_record_id":1688,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:32.729Z","updated_at":"2021-09-30T09:24:32.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":466,"fairsharing_record_id":1688,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:24:32.777Z","updated_at":"2021-09-30T09:24:32.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1718","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:05.613Z","metadata":{"doi":"10.25504/FAIRsharing.3qh2tg","name":"MODOMICS","status":"ready","contacts":[{"contact_name":"Magdalena Machnicka","contact_email":"mmika@genesilico.pl"}],"homepage":"http://modomics.genesilico.pl/","identifier":1718,"description":"MODOMICS is the first comprehensive database system for biology of RNA modification. It integrates information about the chemical structure of modified nucleosides, their localization in RNA sequences, pathways of their biosynthesis and enzymes that carry out the respective reactions (together with their protein cofactors). Also included are the protein sequences, the structure data (if available), selected references from scientific literature, and links to other databases allowing to obtain comprehensive information about individual modified residues and proteins involved in their biosynthesis.","abbreviation":"MODOMICS","data_curation":{"type":"manual/automated","notes":"https://genesilico.pl/modomics/help"},"support_links":[{"url":"kaja@genesilico.pl","type":"Support email"},{"url":"http://modomics.genesilico.pl/help/","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000175","bsg-d000175"],"name":"FAIRsharing record for: MODOMICS","abbreviation":"MODOMICS","url":"https://fairsharing.org/10.25504/FAIRsharing.3qh2tg","doi":"10.25504/FAIRsharing.3qh2tg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MODOMICS is the first comprehensive database system for biology of RNA modification. It integrates information about the chemical structure of modified nucleosides, their localization in RNA sequences, pathways of their biosynthesis and enzymes that carry out the respective reactions (together with their protein cofactors). Also included are the protein sequences, the structure data (if available), selected references from scientific literature, and links to other databases allowing to obtain comprehensive information about individual modified residues and proteins involved in their biosynthesis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["RNA sequence","Ribonucleic acid","RNA modification"],"taxonomies":["Aquifex aeolicus","Arabidopsis thaliana","Archaeoglobus fulgidus","Bacillus subtilis","Chlorobium tepidum","Clostridium thermocellum","Enterococcus faecium","Escherichia coli","Geobacillus kaustophilus","Geobacter sulfurreducens","Giardia","Haemophilus influenzae","Haloferax volcanii","Homo sapiens","Methanocaldococcus jannaschii","Methanopyrus kandleri","Micromonospora zionensis","Mus musculus","Mycobacterium tuberculosis","Mycoplasma capricolum","Nostoc","Pyrococcus abyssi","Pyrococcus furiosus","Pyrococcus horikoshii","Saccharomyces cerevisiae","Salmonella typhimurium","Schizosaccharomyces pombe","Staphylococcus sciuri","Streptococcus pneumoniae","Streptomyces actuosus","Streptomyces cyaneus","Streptomyces fradiae","Streptomyces sp. DSM 40477","Streptomyces viridochromogenes","Sulfolobus acidocaldarius","Sulfolobus solfataricus","Thermotoga maritima","Thermus thermophilus","Trypanosoma brucei","Yersinia pestis","Zymomonas mobilis"],"user_defined_tags":[],"countries":["Poland"],"publications":[{"id":1894,"pubmed_id":16381833,"title":"MODOMICS: a database of RNA modification pathways.","year":2005,"url":"http://doi.org/10.1093/nar/gkj084","authors":"Dunin-Horkawicz S., Czerwoniec A., Gajda MJ., Feder M., Grosjean H., Bujnicki JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj084","created_at":"2021-09-30T08:25:53.054Z","updated_at":"2021-09-30T08:25:53.054Z"},{"id":1895,"pubmed_id":18854352,"title":"MODOMICS: a database of RNA modification pathways. 2008 update.","year":2008,"url":"http://doi.org/10.1093/nar/gkn710","authors":"Czerwoniec A., Dunin-Horkawicz S., Purta E., Kaminska KH., Kasprzak JM., Bujnicki JM., Grosjean H., Rother K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn710","created_at":"2021-09-30T08:25:53.164Z","updated_at":"2021-09-30T08:25:53.164Z"},{"id":1896,"pubmed_id":23118484,"title":"MODOMICS: a database of RNA modification pathways--2013 update.","year":2012,"url":"http://doi.org/10.1093/nar/gks1007","authors":"Machnicka MA,Milanowska K,Osman Oglou O,Purta E,Kurkowska M,Olchowik A,Januszewski W,Kalinowski S,Dunin-Horkawicz S,Rother KM,Helm M,Bujnicki JM,Grosjean H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1007","created_at":"2021-09-30T08:25:53.272Z","updated_at":"2021-09-30T11:29:22.253Z"}],"licence_links":[],"grants":[{"id":567,"fairsharing_record_id":1718,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:36.415Z","updated_at":"2021-09-30T09:24:36.415Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":569,"fairsharing_record_id":1718,"organisation_id":930,"relation":"funds","created_at":"2021-09-30T09:24:36.485Z","updated_at":"2021-09-30T09:29:05.282Z","grant_id":87,"is_lead":false,"saved_state":{"id":930,"name":"European FP6 Eurasnet project","grant":"LSHG-CT-2005-518238","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":565,"fairsharing_record_id":1718,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:36.336Z","updated_at":"2021-09-30T09:30:06.056Z","grant_id":551,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"5R01AI056034-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":564,"fairsharing_record_id":1718,"organisation_id":330,"relation":"maintains","created_at":"2021-09-30T09:24:36.298Z","updated_at":"2021-09-30T09:24:36.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":330,"name":"Bujnicki Lab, Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw (IIMCB), Warsaw, Poland","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":566,"fairsharing_record_id":1718,"organisation_id":2820,"relation":"funds","created_at":"2021-09-30T09:24:36.373Z","updated_at":"2021-09-30T09:30:32.638Z","grant_id":757,"is_lead":false,"saved_state":{"id":2820,"name":"The Polish Ministry of Science and Higher Education","grant":"N301 010 31/0219","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":568,"fairsharing_record_id":1718,"organisation_id":1753,"relation":"funds","created_at":"2021-09-30T09:24:36.453Z","updated_at":"2021-09-30T09:30:25.849Z","grant_id":707,"is_lead":false,"saved_state":{"id":1753,"name":"Marie Curie 6th EU-6FP Research Training Network 'DNA Enzymes', Europe","grant":"MRTNCT-2005-019566 to K.R","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1719","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:44.667Z","metadata":{"doi":"10.25504/FAIRsharing.c1bjep","name":"HOmo sapiens transcription factor COmprehensive MOdel COllection","status":"ready","contacts":[{"contact_name":"Vsevolod Makeev","contact_email":"vsevolod.makeev@vigg.ru","contact_orcid":"0000-0001-9405-9748"}],"homepage":"https://hocomoco11.autosome.org/","citations":[{"doi":"10.1093/nar/gkx1106","pubmed_id":29140464,"publication_id":1794}],"identifier":1719,"description":"HOmo sapiens COmprehensive MOdel COllection (HOCOMOCO) v11 provides transcription factor (TF) binding models for 680 human and 453 mouse TFs. Since v11, HOCOMOCO is complemented by MoLoTool, an interactive web tool to mark motif occurrences in a given set of DNA sequences. In addition to basic mononucleotide position weight matrices (PWMs), HOCOMOCO provides dinucleotide position weight matrices based on ChIP-Seq data. All the models were produced by the ChIPMunk motif discovery tool. Model quality ratings are results of a comprehensive cross-validation benchmark. ChIP-Seq data for motif discovery was extracted from GTRD database of BioUML platform, that also provides an interface for motif finding (sequence scanning) with HOCOMOCO models.","abbreviation":"HOCOMOCO","data_curation":{"url":"https://hocomoco11.autosome.org/help","type":"manual"},"support_links":[{"url":"https://hocomoco11.autosome.org/help","name":"Hocomovo v.11 help","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://autosome.org/ChIPMunk/","name":"Chipmunk v6b"},{"url":"https://opera.autosome.org/macroape/","name":"MacroApe v4.c"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000176","bsg-d000176"],"name":"FAIRsharing record for: HOmo sapiens transcription factor COmprehensive MOdel COllection","abbreviation":"HOCOMOCO","url":"https://fairsharing.org/10.25504/FAIRsharing.c1bjep","doi":"10.25504/FAIRsharing.c1bjep","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HOmo sapiens COmprehensive MOdel COllection (HOCOMOCO) v11 provides transcription factor (TF) binding models for 680 human and 453 mouse TFs. Since v11, HOCOMOCO is complemented by MoLoTool, an interactive web tool to mark motif occurrences in a given set of DNA sequences. In addition to basic mononucleotide position weight matrices (PWMs), HOCOMOCO provides dinucleotide position weight matrices based on ChIP-Seq data. All the models were produced by the ChIPMunk motif discovery tool. Model quality ratings are results of a comprehensive cross-validation benchmark. ChIP-Seq data for motif discovery was extracted from GTRD database of BioUML platform, that also provides an interface for motif finding (sequence scanning) with HOCOMOCO models.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Transcription factor","Chromatin immunoprecipitation - DNA sequencing","Curated information"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Russia","Saudi Arabia"],"publications":[{"id":1046,"pubmed_id":23175603,"title":"HOCOMOCO: a comprehensive collection of human transcription factor binding sites models.","year":2012,"url":"http://doi.org/10.1093/nar/gks1089","authors":"Kulakovskiy IV,Medvedeva YA,Schaefer U,Kasianov AS,Vorontsov IE,Bajic VB,Makeev VJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1089","created_at":"2021-09-30T08:24:15.795Z","updated_at":"2021-09-30T11:28:57.376Z"},{"id":1051,"pubmed_id":20736340,"title":"Deep and wide digging for binding motifs in ChIP-Seq data.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq488","authors":"Kulakovskiy IV,Boeva VA,Favorov AV,Makeev VJ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq488","created_at":"2021-09-30T08:24:16.364Z","updated_at":"2021-09-30T08:24:16.364Z"},{"id":1054,"pubmed_id":23427986,"title":"From binding motifs in ChIP-Seq data to improved models of transcription factor binding sites.","year":2013,"url":"http://doi.org/10.1142/S0219720013400040","authors":"Kulakovskiy I,Levitsky V,Oshchepkov D,Bryzgalov L,Vorontsov I,Makeev V","journal":"J Bioinform Comput Biol","doi":"10.1142/S0219720013400040","created_at":"2021-09-30T08:24:16.732Z","updated_at":"2021-09-30T08:24:16.732Z"},{"id":1055,"pubmed_id":24074225,"title":"Jaccard index based similarity measure to compare transcription factor binding site models.","year":2013,"url":"http://doi.org/10.1186/1748-7188-8-23","authors":"Vorontsov IE,Kulakovskiy IV,Makeev VJ","journal":"Algorithms Mol Biol","doi":"10.1186/1748-7188-8-23","created_at":"2021-09-30T08:24:16.839Z","updated_at":"2021-09-30T08:24:16.839Z"},{"id":1794,"pubmed_id":29140464,"title":"HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1106","authors":"Kulakovskiy IV,Vorontsov IE,Yevshin IS,Sharipov RN,Fedorova AD,Rumynskiy EI,Medvedeva YA,Magana-Mora A,Bajic VB,Papatsenko DA,Kolpakov FA,Makeev VJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1106","created_at":"2021-09-30T08:25:41.436Z","updated_at":"2021-09-30T11:29:20.910Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1917,"relation":"undefined"}],"grants":[{"id":573,"fairsharing_record_id":1719,"organisation_id":1439,"relation":"maintains","created_at":"2021-09-30T09:24:36.606Z","updated_at":"2021-09-30T09:24:36.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":1439,"name":"Institute of Systems Biology Ltd, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":575,"fairsharing_record_id":1719,"organisation_id":2475,"relation":"funds","created_at":"2021-09-30T09:24:36.691Z","updated_at":"2021-09-30T09:30:35.346Z","grant_id":777,"is_lead":false,"saved_state":{"id":2475,"name":"Russian Science Foundation","grant":"14-50-00060","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8128,"fairsharing_record_id":1719,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:31:06.447Z","updated_at":"2021-09-30T09:31:06.512Z","grant_id":1020,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"15-34-20423","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8224,"fairsharing_record_id":1719,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:31:37.848Z","updated_at":"2021-09-30T09:31:37.900Z","grant_id":1257,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"07.514.11.4005","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":571,"fairsharing_record_id":1719,"organisation_id":3178,"relation":"maintains","created_at":"2021-09-30T09:24:36.534Z","updated_at":"2021-09-30T09:24:36.534Z","grant_id":null,"is_lead":false,"saved_state":{"id":3178,"name":"Vavilov Institute of General Genetics, Russian Academy of Sciences, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":572,"fairsharing_record_id":1719,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:24:36.564Z","updated_at":"2021-09-30T09:24:36.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":570,"fairsharing_record_id":1719,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:24:36.508Z","updated_at":"2021-09-30T09:29:58.238Z","grant_id":492,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"14-04-01838","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":574,"fairsharing_record_id":1719,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:24:36.646Z","updated_at":"2021-09-30T09:30:27.463Z","grant_id":720,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"11.G34.31.0008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8223,"fairsharing_record_id":1719,"organisation_id":1862,"relation":"funds","created_at":"2021-09-30T09:31:37.715Z","updated_at":"2021-09-30T09:31:37.766Z","grant_id":1256,"is_lead":false,"saved_state":{"id":1862,"name":"Ministry of Education and Science of the Russian Federation, Moscow, Russia","grant":"07.514.11.4006","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1720","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:48.760Z","metadata":{"doi":"10.25504/FAIRsharing.g646hq","name":"MetalPDB","status":"ready","contacts":[{"contact_name":"Claudia Andreini","contact_email":"andreini@cerm.unifi.it","contact_orcid":"0000-0003-4329-8225"},{"contact_name":"Antonio Rosato","contact_email":"rosato@cerm.unifi.it","contact_orcid":"0000-0001-6172-0368"}],"homepage":"http://metalpdb.cerm.unifi.it/","citations":[{"doi":"10.1093/nar/gkx989","pubmed_id":null,"publication_id":3191}],"identifier":1720,"description":"MetalPDB is a resource aimed at conveying the information available on the three-dimensional structures of metal-binding biological macromolecules in a consistent and effective manner. This is achieved through the systematic and automated representation of metal-binding sites in proteins and nucleic acids by way of Minimal Functional Sites (MFSs). MFSs are three-dimensional templates that describe the local environment around the metal(s) independently of the larger context of the macromolecular structure embedding the site(s), and are the central objects of MetalPDB design. MFSs are grouped into equistructural (broadly defined as sites found in corresponding positions in similar structures) and equivalent sites (equistructural sites that contain the same metals), allowing users to easily analyze similarities and variations in metal-macromolecule interactions, and to link them to functional information.","abbreviation":"MetalPDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://metalpdb.cerm.unifi.it/glossary","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","associated_tools":[{"url":"http://metalweb.cerm.unifi.it/tools/findgeo/","name":"FindGeo"},{"url":"http://metalweb.cerm.unifi.it/tools/metals2/","name":"Metals2"},{"url":"http://metalweb.cerm.unifi.it/tools/metals3/","name":"Metals3"},{"url":"http://metalweb.cerm.unifi.it/tools/metalpredator/","name":"Metal Predator"}],"data_access_condition":{"type":"not found"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000177","bsg-d000177"],"name":"FAIRsharing record for: MetalPDB","abbreviation":"MetalPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.g646hq","doi":"10.25504/FAIRsharing.g646hq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetalPDB is a resource aimed at conveying the information available on the three-dimensional structures of metal-binding biological macromolecules in a consistent and effective manner. This is achieved through the systematic and automated representation of metal-binding sites in proteins and nucleic acids by way of Minimal Functional Sites (MFSs). MFSs are three-dimensional templates that describe the local environment around the metal(s) independently of the larger context of the macromolecular structure embedding the site(s), and are the central objects of MetalPDB design. MFSs are grouped into equistructural (broadly defined as sites found in corresponding positions in similar structures) and equivalent sites (equistructural sites that contain the same metals), allowing users to easily analyze similarities and variations in metal-macromolecule interactions, and to link them to functional information.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12619},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13852}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Protein structure","Ligand","Metal ion binding","Structure"],"taxonomies":["All"],"user_defined_tags":["Metal-macromolecule interaction"],"countries":["Italy"],"publications":[{"id":1897,"pubmed_id":23155064,"title":"MetalPDB: a database of metal sites in biological macromolecular structures.","year":2012,"url":"http://doi.org/10.1093/nar/gks1063","authors":"Andreini C,Cavallaro G,Lorenzini S,Rosato A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1063","created_at":"2021-09-30T08:25:53.387Z","updated_at":"2021-09-30T11:29:22.352Z"},{"id":3191,"pubmed_id":null,"title":"MetalPDB in 2018: a database of metal sites in biological macromolecular structures","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx989","authors":"Putignano, Valeria; Rosato, Antonio; Banci, Lucia; Andreini, Claudia; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx989","created_at":"2022-01-20T15:49:27.326Z","updated_at":"2022-01-20T15:49:27.326Z"}],"licence_links":[],"grants":[{"id":8737,"fairsharing_record_id":1720,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-20T11:14:39.873Z","updated_at":"2022-01-20T11:14:39.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":576,"fairsharing_record_id":1720,"organisation_id":483,"relation":"maintains","created_at":"2021-09-30T09:24:36.728Z","updated_at":"2022-01-20T15:51:29.897Z","grant_id":null,"is_lead":true,"saved_state":{"id":483,"name":"CERM, University of Florence, Florence, Italy","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8740,"fairsharing_record_id":1720,"organisation_id":912,"relation":"funds","created_at":"2022-01-20T15:51:29.864Z","updated_at":"2022-01-20T15:51:29.864Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9305,"fairsharing_record_id":1720,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.122Z","updated_at":"2022-04-11T12:07:29.136Z","grant_id":976,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"RBRN07BMCT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9306,"fairsharing_record_id":1720,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.195Z","updated_at":"2022-04-11T12:07:29.210Z","grant_id":1761,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"2009FAKHZT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9307,"fairsharing_record_id":1720,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.272Z","updated_at":"2022-04-11T12:07:29.287Z","grant_id":126,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"RBFR08WGXT","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1721","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:44:39.557Z","metadata":{"doi":"10.25504/FAIRsharing.ysp7ke","name":"Plant Resistance Gene Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"prg@crg.eu"}],"homepage":"http://prgdb.org/prgdb4/","citations":[],"identifier":1721,"description":"PRGdb is an open and daily updated space about plant resistance genes (PRGs), in which all information available about these genes is stored, annotated and discussed. ","abbreviation":"PRGdb","data_curation":{"url":"https://doi.org/10.1093/nar/gkab1087","type":"automated"},"support_links":[{"url":"http://prgdb.crg.eu/wiki/Howto","type":"Help documentation"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"http://www.prgdb.org/prgdb4/drago3","name":"DRAGO 3"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000178","bsg-d000178"],"name":"FAIRsharing record for: Plant Resistance Gene Database","abbreviation":"PRGdb","url":"https://fairsharing.org/10.25504/FAIRsharing.ysp7ke","doi":"10.25504/FAIRsharing.ysp7ke","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRGdb is an open and daily updated space about plant resistance genes (PRGs), in which all information available about these genes is stored, annotated and discussed. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Plant Genetics"],"domains":["Pathogen","Curated information","Crowdsourcing"],"taxonomies":["Musa","Oryza","Solanaceae","Viridiplantae"],"user_defined_tags":["Plant-pathogen interaction","Plant resistance"],"countries":["Italy","Spain"],"publications":[{"id":1928,"pubmed_id":19906694,"title":"PRGdb: a bioinformatics platform for plant resistance gene analysis.","year":2009,"url":"http://doi.org/10.1093/nar/gkp978","authors":"Sanseverino W., Roma G., De Simone M., Faino L., Melito S., Stupka E., Frusciante L., Ercolano MR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp978","created_at":"2021-09-30T08:25:56.957Z","updated_at":"2021-09-30T08:25:56.957Z"},{"id":1929,"pubmed_id":23161682,"title":"PRGdb 2.0: towards a community-based database model for the analysis of R-genes in plants.","year":2012,"url":"http://doi.org/10.1093/nar/gks1183","authors":"Sanseverino W,Hermoso A,D'Alessandro R,Vlasova A,Andolfo G,Frusciante L,Lowy E,Roma G,Ercolano MR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1183","created_at":"2021-09-30T08:25:57.112Z","updated_at":"2021-09-30T11:29:24.169Z"},{"id":3860,"pubmed_id":null,"title":"PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1087","authors":"Calle García, Joan; Guadagno, Anna; Paytuvi-Gallart, Andreu; Saera-Vila, Alfonso; Amoroso, Ciro Gianmaria; D’Esposito, Daniela; Andolfo, Giuseppe; Aiese Cigliano, Riccardo; Sanseverino, Walter; Ercolano, Maria Raffaella; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1087","created_at":"2023-05-05T10:38:44.857Z","updated_at":"2023-05-05T10:38:44.857Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":164,"relation":"undefined"}],"grants":[{"id":578,"fairsharing_record_id":1721,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:36.807Z","updated_at":"2021-09-30T09:32:44.004Z","grant_id":1753,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"PTA2010-4446-I","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":10041,"fairsharing_record_id":1721,"organisation_id":3630,"relation":"maintains","created_at":"2022-10-13T09:43:42.187Z","updated_at":"2022-10-13T09:43:42.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":3630,"name":"Centre for Genomic Regulation","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9304,"fairsharing_record_id":1721,"organisation_id":1566,"relation":"funds","created_at":"2022-04-11T12:07:29.055Z","updated_at":"2022-04-11T12:07:29.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb2dDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--24433421ab9ad56ff4e4d0ecbb5928bde95f1872/DRAGO2PRG.png?disposition=inline","exhaustive_licences":false}},{"id":"1699","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:35.136Z","metadata":{"doi":"10.25504/FAIRsharing.zx1td8","name":"WormBase","status":"ready","contacts":[],"homepage":"http://www.wormbase.org/","citations":[{"doi":"10.1093/nar/gkz920","pubmed_id":31642470,"publication_id":1136}],"identifier":1699,"description":"WormBase is an international consortium of biologists and computer scientists dedicated to providing the research community with accurate, current, accessible information concerning the genetics, genomics and biology of C. elegans and related nematodes.","abbreviation":"WormBase","data_curation":{"url":"https://wormbase.org//about/Frequently_asked_questions","type":"manual","notes":"WormBase has two avenues of gene expression curation: one for individual gene expression pattern evaluation and a second avenue for larger scale analyses of gene expression."},"support_links":[{"url":"https://wormbase.org//tools/support?url=/","name":"Feedback","type":"Contact form"},{"url":"help@wormbase.org","type":"Support email"},{"url":"http://blog.wormbase.org","type":"Blog/News"},{"url":"http://www.wormbase.org/about/userguide#023-1-5","name":"Userguide","type":"Help documentation"},{"url":"https://twitter.com/wormbase","name":"@wormbase","type":"Twitter"},{"url":"https://wormbase.org/resources#234--10","name":"Resources","type":"Other"},{"url":"https://wormbase.org/about/Frequently_asked_questions#639b15fa7e84c0d2--10","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.youtube.com/user/WormBaseHD","name":"Youtube channel","type":"Video"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"https://celegans.textpressocentral.org/tpc","name":"TextPresso"},{"url":"https://spell.wormbase.org/","name":"SPELL"},{"url":"https://wormbase.org/tools/rnaseq/expression_dataset_locator.cgi","name":"Expression Dataset Locator"},{"url":"https://wormbase.org/tools/soba/soba.cgi?action=Gene+Pair+to+SObA+Graph","name":"SObA Gene Pair"},{"url":"https://wormbase.org/tools/soba/soba.cgi?action=Terms+to+SObA+Graph","name":"SObA terms "},{"url":"https://wormbase.org/tools/enrichment/tea/tea.cgi","name":"Enrichment Analysis"},{"url":"https://parasite.wormbase.org/biomart/martview/37f8f578deb4063cd69c209d146eb2a9","name":"Parasite Biomart"},{"url":"http://intermine.wormbase.org/tools/wormmine/begin.do","name":"WormMine"},{"url":"https://wormbase.org/tools/mine/gene_sanitizer.cgi","name":"Gene Name Sanitizer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010424","name":"re3data:r3d100010424","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003098","name":"SciCrunch:RRID:SCR_003098","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://wormbase.org/about/userguide#15--10","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000156","bsg-d000156"],"name":"FAIRsharing record for: WormBase","abbreviation":"WormBase","url":"https://fairsharing.org/10.25504/FAIRsharing.zx1td8","doi":"10.25504/FAIRsharing.zx1td8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WormBase is an international consortium of biologists and computer scientists dedicated to providing the research community with accurate, current, accessible information concerning the genetics, genomics and biology of C. elegans and related nematodes.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10763},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11055},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16181}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Life Science"],"domains":["Mass spectrum","Citation","Cytogenetic map","Genome map","Protein domain","Gene name","Expression data","Bibliography","Free text","Gene Ontology enrichment","Protein interaction","Model organism","Clone library","Reagent","Regulation of gene expression","RNA interference","Antibody","Image","Molecular interaction","Genetic interaction","Small molecule","Genetic polymorphism","Protein expression","Cross linking","Phenotype","Disease","Sequence feature","Promoter","Untranslated region","Pseudogene","Binding site","Single nucleotide polymorphism","Gene","Orthologous","Trans spliced","Genome","Life cycle","Genetic strain"],"taxonomies":["Ascaris suum","Brugia malayi","Caenorhabditis angaria","Caenorhabditis brenneri","Caenorhabditis briggsae","Caenorhabditis elegans","Caenorhabditis japonica","Caenorhabditis remanei","Caenorhabditis sinica","Caenorhabditis tropicalis","Heterorhabditis bacteriophora","Loa Loa","Meloidogyne hapla","Pristionchus pacificus","Strongyloides ratti","Trichinella spiralis"],"user_defined_tags":["Researcher data"],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":212,"pubmed_id":21595960,"title":"Toward an interactive article: integrating journals and biological databases.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-175","authors":"Rangarajan A., Schedl T., Yook K., Chan J., Haenel S., Otis L., Faelten S., DePellegrin-Connelly T., Isaacson R., Skrzypek MS., Marygold SJ., Stefancsik R., Cherry JM., Sternberg PW., Müller HM.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-175","created_at":"2021-09-30T08:22:43.049Z","updated_at":"2021-09-30T08:22:43.049Z"},{"id":213,"pubmed_id":21071413,"title":"The BioGRID Interaction Database: 2011 update.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1116","authors":"Stark C., Breitkreutz BJ., Chatr-Aryamontri A., Boucher L., Oughtred R., Livstone MS., Nixon J., Van Auken K., Wang X., Shi X., Reguly T., Rust JM., Winter A., Dolinski K., Tyers M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1116","created_at":"2021-09-30T08:22:43.164Z","updated_at":"2021-09-30T08:22:43.164Z"},{"id":214,"pubmed_id":21059240,"title":"Localizing triplet periodicity in DNA and cDNA sequences.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-550","authors":"Wang L., Stein LD.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-550","created_at":"2021-09-30T08:22:43.256Z","updated_at":"2021-09-30T08:22:43.256Z"},{"id":215,"pubmed_id":19921742,"title":"Representing ontogeny through ontology: a developmental biologist's guide to the gene ontology.","year":2009,"url":"http://doi.org/10.1002/mrd.21130","authors":"Hill DP., Berardini TZ., Howe DG., Van Auken KM.,","journal":"Mol. Reprod. Dev.","doi":"10.1002/mrd.21130","created_at":"2021-09-30T08:22:43.356Z","updated_at":"2021-09-30T08:22:43.356Z"},{"id":1085,"pubmed_id":19920128,"title":"The Gene Ontology in 2010: extensions and refinements.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1018","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1018","created_at":"2021-09-30T08:24:20.203Z","updated_at":"2021-09-30T11:28:58.186Z"},{"id":1113,"pubmed_id":19910365,"title":"WormBase: a comprehensive resource for nematode research.","year":2009,"url":"http://doi.org/10.1093/nar/gkp952","authors":"Harris TW., Antoshechkin I., et al.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp952","created_at":"2021-09-30T08:24:23.298Z","updated_at":"2021-09-30T08:24:23.298Z"},{"id":1114,"pubmed_id":19622167,"title":"Semi-automated curation of protein subcellular localization: a text mining-based approach to Gene Ontology (GO) Cellular Component curation.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-228","authors":"Van Auken K., Jaffery J., Chan J., Müller HM., Sternberg PW.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-228","created_at":"2021-09-30T08:24:23.407Z","updated_at":"2021-09-30T08:24:23.407Z"},{"id":1130,"pubmed_id":19578431,"title":"The Gene Ontology's Reference Genome Project: a unified framework for functional annotation across species.","year":2009,"url":"http://doi.org/10.1371/journal.pcbi.1000431","authors":"The Gene Ontology Consortium","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1000431","created_at":"2021-09-30T08:24:25.389Z","updated_at":"2021-09-30T08:24:25.389Z"},{"id":1132,"pubmed_id":19099578,"title":"nGASP--the nematode genome annotation assessment project.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-549","authors":"Coghlan A., Fiedler TJ., McKay SJ., Flicek P., Harris TW., Blasiar D., Stein LD.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-549","created_at":"2021-09-30T08:24:25.607Z","updated_at":"2021-09-30T08:24:25.607Z"},{"id":1136,"pubmed_id":31642470,"title":"WormBase: a modern Model Organism Information Resource.","year":2019,"url":"http://doi.org/10.1093/nar/gkz920","authors":"Harris TW,Arnaboldi V,Cain S,Chan J,Chen WJ,Cho J,Davis P,Gao S,Grove CA,Kishore R,Lee RYN,Muller HM,Nakamura C,Nuin P,Paulini M,Raciti D,Rodgers FH,Russell M,Schindelman G,Auken KV,Wang Q,Williams G,Wright AJ,Yook K,Howe KL,Schedl T,Stein L,Sternberg PW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz920","created_at":"2021-09-30T08:24:26.088Z","updated_at":"2021-09-30T11:29:00.134Z"},{"id":1137,"pubmed_id":29069413,"title":"WormBase 2017: molting into a new stage.","year":2017,"url":"http://doi.org/10.1093/nar/gkx998","authors":"Lee RYN,Howe KL, et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx998","created_at":"2021-09-30T08:24:26.299Z","updated_at":"2021-09-30T11:29:00.235Z"}],"licence_links":[{"licence_name":"Wormbase licence","licence_id":921,"licence_url":"https://wormbase.org/about/policies","link_id":2640,"relation":"applies_to_content"}],"grants":[{"id":498,"fairsharing_record_id":1699,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:33.861Z","updated_at":"2021-09-30T09:24:33.861Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":502,"fairsharing_record_id":1699,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:34.021Z","updated_at":"2021-09-30T09:24:34.021Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":496,"fairsharing_record_id":1699,"organisation_id":1904,"relation":"maintains","created_at":"2021-09-30T09:24:33.798Z","updated_at":"2021-09-30T09:24:33.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":1904,"name":"MRC Laboratory of Molecular Biology (LMB), Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":499,"fairsharing_record_id":1699,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:33.904Z","updated_at":"2021-09-30T09:24:33.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":501,"fairsharing_record_id":1699,"organisation_id":344,"relation":"maintains","created_at":"2021-09-30T09:24:33.984Z","updated_at":"2021-09-30T09:24:33.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":344,"name":"California Institute of Technology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":503,"fairsharing_record_id":1699,"organisation_id":2246,"relation":"maintains","created_at":"2021-09-30T09:24:34.063Z","updated_at":"2021-09-30T09:24:34.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":2246,"name":"Ontario Institute For Cancer Research (OICR), Toronto, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":500,"fairsharing_record_id":1699,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:33.946Z","updated_at":"2021-09-30T09:32:44.772Z","grant_id":1759,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41 HG002223","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11607,"fairsharing_record_id":1699,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:34.135Z","updated_at":"2024-03-21T13:59:34.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBmZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c60951354c3f4e791869cd6b713d6b192977ea7f/logowb.png?disposition=inline","exhaustive_licences":false}},{"id":"1700","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:12.447Z","metadata":{"doi":"10.25504/FAIRsharing.tawpg2","name":"The Yeast Metabolome Database","status":"ready","contacts":[],"homepage":"http://www.ymdb.ca","citations":[],"identifier":1700,"description":"The Yeast Metabolome Database (YMDB) is a manually curated database of small molecule metabolites found in or produced by Saccharomyces cerevisiae (also known as Baker’s yeast and Brewer’s yeast). This database covers metabolites described in textbooks, scientific journals, metabolic reconstructions and other electronic databases.","abbreviation":"YMDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=ymdb","type":"Contact form"},{"url":"https://twitter.com/WishartLab","type":"Twitter"},{"url":"http://www.ymdb.ca/documentation","name":"Data source","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012733","name":"re3data:r3d100012733","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005890","name":"SciCrunch:RRID:SCR_005890","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000157","bsg-d000157"],"name":"FAIRsharing record for: The Yeast Metabolome Database","abbreviation":"YMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.tawpg2","doi":"10.25504/FAIRsharing.tawpg2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Yeast Metabolome Database (YMDB) is a manually curated database of small molecule metabolites found in or produced by Saccharomyces cerevisiae (also known as Baker’s yeast and Brewer’s yeast). This database covers metabolites described in textbooks, scientific journals, metabolic reconstructions and other electronic databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Chemical formula","Mass spectrum","Chemical structure","Concentration","DNA sequence data","Gene Ontology enrichment","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Cellular localization","Protein","Gene","Amino acid sequence","Chemical descriptor"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":["Physical properties"],"countries":["Canada"],"publications":[{"id":1316,"pubmed_id":22064855,"title":"YMDB: the Yeast Metabolome Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr916","authors":"Jewison T., Knox C., Neveu V., Djoumbou Y., Guo AC., Lee J., Liu P., Mandal R., Krishnamurthy R., Sinelnikov I., Wilson M., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr916","created_at":"2021-09-30T08:24:47.020Z","updated_at":"2021-09-30T08:24:47.020Z"}],"licence_links":[],"grants":[{"id":8589,"fairsharing_record_id":1700,"organisation_id":3309,"relation":"maintains","created_at":"2021-11-10T10:58:10.222Z","updated_at":"2021-11-10T10:58:10.222Z","grant_id":null,"is_lead":true,"saved_state":{"id":3309,"name":"Wishart Research Group, University of Alberta, Edmonton, Canada","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":504,"fairsharing_record_id":1700,"organisation_id":2799,"relation":"funds","created_at":"2021-09-30T09:24:34.105Z","updated_at":"2021-09-30T09:24:34.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8588,"fairsharing_record_id":1700,"organisation_id":359,"relation":"funds","created_at":"2021-11-10T10:58:10.205Z","updated_at":"2021-11-10T10:58:10.205Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8590,"fairsharing_record_id":1700,"organisation_id":354,"relation":"funds","created_at":"2021-11-10T10:58:10.294Z","updated_at":"2021-11-10T10:58:10.294Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1715","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:12.039Z","metadata":{"doi":"10.25504/FAIRsharing.c3v6e6","name":"IPD-NHKIR - Non-Human Killer-cell Immunoglobulin-like Receptors","status":"ready","contacts":[{"contact_name":"Jesse Bruijnesteijn","contact_email":"bruijnesteijn@bprc.nl"}],"homepage":"https://www.ebi.ac.uk/ipd/nhkir/","citations":[{"doi":"10.1093/nar/gkz950","pubmed_id":31667505,"publication_id":2534}],"identifier":1715,"description":"The IPD-NHKIR database provides a centralised repository for non-human KIR (NHKIR) sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","abbreviation":"IPD-NHKIR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/support/ipd.php","name":"IPD Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/ipd/nhkir/version/v1200/","name":"Version Reports","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/nhkir/statistics/","name":"Statistics","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010797","name":"re3data:r3d100010797","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003004","name":"SciCrunch:RRID:SCR_003004","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ebi.ac.uk/ipd/submission/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000172","bsg-d000172"],"name":"FAIRsharing record for: IPD-NHKIR - Non-Human Killer-cell Immunoglobulin-like Receptors","abbreviation":"IPD-NHKIR","url":"https://fairsharing.org/10.25504/FAIRsharing.c3v6e6","doi":"10.25504/FAIRsharing.c3v6e6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IPD-NHKIR database provides a centralised repository for non-human KIR (NHKIR) sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Genetics","Immunology"],"domains":["Nucleic acid sequence alignment","Multiple sequence alignment","Deoxyribonucleic acid","Genetic polymorphism","Sequence alignment","Killer-cell Immunoglobulin-like Receptors","Gene","Amino acid sequence","Immune system"],"taxonomies":["Bos","Macaca fascicularis","Macaca mulatta","Macaca nemestrina","Pan troglodytes","Pongo abelii","Pongo pygmaeus"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2524,"pubmed_id":31641782,"title":"The IPD Project: a centralised resource for the study of polymorphism in genes of the immune system.","year":2019,"url":"http://doi.org/10.1007/s00251-019-01133-w","authors":"Maccari G,Robinson J,Hammond JA,Marsh SGE","journal":"Immunogenetics","doi":"10.1007/s00251-019-01133-w","created_at":"2021-09-30T08:27:09.626Z","updated_at":"2021-09-30T08:27:09.626Z"},{"id":2801,"pubmed_id":31781789,"title":"Nomenclature report for killer-cell immunoglobulin-like receptors (KIR) in macaque species: new genes/alleles, renaming recombinant entities and IPD-NHKIR updates.","year":2019,"url":"http://doi.org/10.1007/s00251-019-01135-8","authors":"Bruijnesteijn J,de Groot NG,Otting N,Maccari G,Guethlein LA,Robinson J,Marsh SGE,Walter L,O'Connor DH,Hammond JA,Parham P,Bontrop RE","journal":"Immunogenetics","doi":"10.1007/s00251-019-01135-8","created_at":"2021-09-30T08:27:44.448Z","updated_at":"2021-09-30T08:27:44.448Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1591,"relation":"undefined"},{"licence_name":"IPD Licence","licence_id":450,"licence_url":"http://www.ebi.ac.uk/ipd/licence.html","link_id":1590,"relation":"undefined"}],"grants":[{"id":556,"fairsharing_record_id":1715,"organisation_id":1254,"relation":"maintains","created_at":"2021-09-30T09:24:35.973Z","updated_at":"2021-09-30T09:24:35.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":1254,"name":"HLA Informatics Group, Anthony Nolan Research Institute, London, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":555,"fairsharing_record_id":1715,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:35.941Z","updated_at":"2021-09-30T09:24:35.941Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":558,"fairsharing_record_id":1715,"organisation_id":2776,"relation":"funds","created_at":"2021-09-30T09:24:36.052Z","updated_at":"2021-09-30T09:29:06.317Z","grant_id":95,"is_lead":false,"saved_state":{"id":2776,"name":"The Fifth Framework Infrastructures program, European Commission","grant":"QLRI-CT-200!-01325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":557,"fairsharing_record_id":1715,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:36.015Z","updated_at":"2021-09-30T09:32:27.305Z","grant_id":1627,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"NIH/NCI P01 111412","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1716","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-08T08:08:12.226Z","metadata":{"doi":"10.25504/FAIRsharing.h3tjtr","name":"Comparative Toxicogenomics Database","status":"ready","contacts":[{"contact_name":"Allan Peter Davis","contact_email":"apdavis3@ncsu.edu"}],"homepage":"http://ctdbase.org/","citations":[{"doi":"10.1093/nar/gkac833","pubmed_id":null,"publication_id":4270}],"identifier":1716,"description":"The Comparative Toxicogenomics Database (CTD) advances understanding of the effects of environmental chemicals on human health. Biocurators manually curate chemical-gene, chemical-disease, and gene-disease relationships from the scientific literature. This core data is then internally integrated to generate inferred chemical-gene-disease networks. Additionally, the core data is integrated with external data sets (such as Gene Ontology and pathway annotations) to predict many novel associations between different data types. A unique and powerful feature of CTD is the inferred relationships generated by data integration that helps turn knowledge into discoveries by identifying novel connections between chemicals, genes, diseases, pathways, and GO annotations that might not otherwise be apparent using other biological resources.","abbreviation":"CTD","data_curation":{"url":"http://ctdbase.org/about/dataStatus.go","type":"manual/automated"},"support_links":[{"url":"http://ctdbase.org/help/contact.go","type":"Contact form"},{"url":"http://ctdbase.org/help/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://ctdbase.org/help/","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=KL_MpE8g0Uc","name":"CTD Introduction video","type":"Video"},{"url":"http://ctdbase.org/help/tutorials.jsp","type":"Training documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"http://ctdbase.org/search/","name":"Search"},{"url":"http://ctdbase.org/tools/myGeneVenn.go","name":"MyGeneVenn"},{"url":"http://ctdbase.org/tools/myVenn.go","name":"MyVenn"},{"url":"http://ctdbase.org/tools/vennViewer.go","name":"VennViewer"},{"url":"http://ctdbase.org/tools/batchQuery.go","name":"Batch Query"},{"url":"http://ctdbase.org/tools/analyzer.go","name":"Set Analyzer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011530","name":"re3data:r3d100011530","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006530","name":"SciCrunch:RRID:SCR_006530","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000173","bsg-d000173"],"name":"FAIRsharing record for: Comparative Toxicogenomics Database","abbreviation":"CTD","url":"https://fairsharing.org/10.25504/FAIRsharing.h3tjtr","doi":"10.25504/FAIRsharing.h3tjtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Comparative Toxicogenomics Database (CTD) advances understanding of the effects of environmental chemicals on human health. Biocurators manually curate chemical-gene, chemical-disease, and gene-disease relationships from the scientific literature. This core data is then internally integrated to generate inferred chemical-gene-disease networks. Additionally, the core data is integrated with external data sets (such as Gene Ontology and pathway annotations) to predict many novel associations between different data types. A unique and powerful feature of CTD is the inferred relationships generated by data integration that helps turn knowledge into discoveries by identifying novel connections between chemicals, genes, diseases, pathways, and GO annotations that might not otherwise be apparent using other biological resources.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10860},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11767},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12300},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12618}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Anatomy","Toxicogenomics","Toxicology","Biomedical Science","Comparative Genomics","Systems Biology"],"domains":["Expression data","Gene Ontology enrichment","Annotation","Text mining","Protein interaction","Network model","Chemical entity","Molecular interaction","Adverse Reaction","Drug interaction","Curated information","Phenotype","Disease phenotype","Disease","Protein","Pathway model","Gene","Gene-disease association","Chemical-disease association","Literature curation","Chemical-gene association","Exposure"],"taxonomies":["Bos taurus","Caenorhabditis elegans","Canis lupus","Danio rerio","Drosophila","Eumetazoa","Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Adverse outcome pathways","COVID-19","Systems toxicology"],"countries":["United States"],"publications":[{"id":1280,"pubmed_id":23221299,"title":"Targeted journal curation as a method to improve data currency at the Comparative Toxicogenomics Database","year":2012,"url":"http://doi.org/10.1093/database/bas051","authors":"Davis AP, Johnson RJ, Lennon-Hopkins K, Sciaky D, Rosenstein MC, Wiegers TC, Mattingly CJ","journal":"Database (Oxford)","doi":"10.1093/database/bas051","created_at":"2021-09-30T08:24:42.859Z","updated_at":"2021-09-30T08:24:42.859Z"},{"id":1300,"pubmed_id":22434833,"title":"MEDIC: a practical disease vocabulary used at the Comparative Toxicogenomics Database.","year":2012,"url":"https://academic.oup.com/database/article/doi/10.1093/database/bar065/430135","authors":"Davis AP., Wiegers TC., Rosenstein MC., Mattingly CJ.","journal":"Database (Oxford)","doi":"10.1093/database/bar065","created_at":"2021-09-30T08:24:45.201Z","updated_at":"2021-09-30T08:24:45.201Z"},{"id":1309,"pubmed_id":23093600,"title":"The Comparative Toxicogenomics Database: update 2013","year":2012,"url":"http://doi.org/10.1093/nar/gks994","authors":"Davis AP, Murphy CG, Johnson R, Lay JM, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, King BL, Rosenstein MC, Wiegers TC, Mattingly CJ.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks994","created_at":"2021-09-30T08:24:46.167Z","updated_at":"2021-09-30T08:24:46.167Z"},{"id":2441,"pubmed_id":24288140,"title":"A CTD-Pfizer collaboration: manual curation of 88,000 scientific articles text mined for drug-disease and drug-phenotype interactions","year":2013,"url":"http://doi.org/10.1093/database/bat080","authors":"Davis AP, Wiegers TC, Roberts PM, King BL, Lay JM, Lennon-Hopkins K, Sciaky D, Johnson R, Keating H, Greene N, Hernandez R, McConnell KJ, Enayetallah AE, Mattingly CJ.","journal":"Database (Oxford)","doi":"10.1093/database/bat080","created_at":"2021-09-30T08:26:59.410Z","updated_at":"2021-09-30T08:26:59.410Z"},{"id":2442,"pubmed_id":23613709,"title":"Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the Comparative Toxicogenomics Database","year":2013,"url":"http://doi.org/10.1371/journal.pone.0058201","authors":"Davis AP, Wiegers TC, Johnson RJ, Lay JM, Lennon-Hopkins K, Saraceni-Richards C, Sciaky D, Murphy CG, Mattingly CJ.","journal":"PLoS One","doi":"10.1371/journal.pone.0058201","created_at":"2021-09-30T08:26:59.511Z","updated_at":"2021-09-30T08:26:59.511Z"},{"id":2444,"pubmed_id":21933848,"title":"The curation paradigm and application tool used for manual curation of the scientific literature at the Comparative Toxicogenomics Database","year":2011,"url":"http://doi.org/10.1093/database/bar034","authors":"Davis AP, Wiegers TC, Rosenstein MC, Murphy CG, Mattingly CJ.","journal":"Database (Oxford)","doi":"10.1093/database/bar034","created_at":"2021-09-30T08:26:59.737Z","updated_at":"2021-09-30T08:26:59.737Z"},{"id":2459,"pubmed_id":22125387,"title":"DiseaseComps: a metric that discovers similar diseases based upon common toxicogenomic profiles at CTD","year":2011,"url":"http://doi.org/10.6026/97320630007154","authors":"Davis AP, Rosenstein MC, Wiegers TC, Mattingly CJ.","journal":"Bioinformation","doi":"10.6026/97320630007154","created_at":"2021-09-30T08:27:01.627Z","updated_at":"2021-09-30T08:27:01.627Z"},{"id":2460,"pubmed_id":20198196,"title":"GeneComps and ChemComps: a new CTD metric to identify genes and chemicals with shared toxicogenomic profiles","year":2009,"url":"http://doi.org/10.6026/97320630004173","authors":"Davis AP, Murphy CG, Saraceni-Richards CA, Rosenstein MC, Wiegers TC, Hampton TH, Mattingly CJ.","journal":"Bioinformation","doi":"10.6026/97320630004173","created_at":"2021-09-30T08:27:01.736Z","updated_at":"2021-09-30T08:27:01.736Z"},{"id":2483,"pubmed_id":30247620,"title":"The Comparative Toxicogenomics Database: update 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky868","authors":"Davis AP,Grondin CJ,Johnson RJ,Sciaky D,McMorran R,Wiegers J,Wiegers TC,Mattingly CJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky868","created_at":"2021-09-30T08:27:04.491Z","updated_at":"2021-09-30T11:29:37.746Z"},{"id":2831,"pubmed_id":18845002,"title":"The Comparative Toxicogenomics Database facilitates identification and understanding of chemical-gene-disease associations: arsenic as a case study","year":2008,"url":"http://doi.org/10.1186/1755-8794-1-48","authors":"Davis AP, Murphy CG, Rosenstein MC, Wiegers TC, Mattingly CJ","journal":"BMC Med Genomics","doi":"10.1186/1755-8794-1-48","created_at":"2021-09-30T08:27:48.232Z","updated_at":"2021-09-30T08:27:48.232Z"},{"id":2846,"pubmed_id":27651457,"title":"The Comparative Toxicogenomics Database: update 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw838","authors":"Davis AP,Grondin CJ,Johnson RJ,Sciaky D,King BL,McMorran R,Wiegers J,Wiegers TC,Mattingly CJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw838","created_at":"2021-09-30T08:27:50.154Z","updated_at":"2021-09-30T11:29:47.229Z"},{"id":2848,"pubmed_id":27170236,"title":"Advancing Exposure Science through Chemical Data Curation and Integration in the Comparative Toxicogenomics Database.","year":2016,"url":"http://doi.org/10.1289/EHP174","authors":"Grondin CJ,Davis AP,Wiegers TC,King BL,Wiegers JA,Reif DM,Hoppin JA,Mattingly CJ","journal":"Environ Health Perspect","doi":"10.1289/EHP174","created_at":"2021-09-30T08:27:50.374Z","updated_at":"2021-09-30T08:27:50.374Z"},{"id":2854,"pubmed_id":27171405,"title":"Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database.","year":2016,"url":"http://doi.org/10.1371/journal.pone.0155530","authors":"Davis AP,Wiegers TC,King BL,Wiegers J,Grondin CJ,Sciaky D,Johnson RJ,Mattingly CJ","journal":"PLoS One","doi":"10.1371/journal.pone.0155530","created_at":"2021-09-30T08:27:51.074Z","updated_at":"2021-09-30T08:27:51.074Z"},{"id":2858,"pubmed_id":25326323,"title":"The Comparative Toxicogenomics Database's 10th year anniversary: update 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku935","authors":"Davis AP,Grondin CJ,Lennon-Hopkins K,Saraceni-Richards C,Sciaky D,King BL,Wiegers TC,Mattingly CJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku935","created_at":"2021-09-30T08:27:51.571Z","updated_at":"2021-09-30T11:29:47.596Z"},{"id":3019,"pubmed_id":29846728,"title":"Chemical-Induced Phenotypes at CTD Help Inform the Predisease State and Construct Adverse Outcome Pathways.","year":2018,"url":"http://doi.org/10.1093/toxsci/kfy131","authors":"Davis AP,Wiegers TC,Wiegers J,Johnson RJ,Sciaky D,Grondin CJ,Mattingly CJ","journal":"Toxicol Sci","doi":"10.1093/toxsci/kfy131","created_at":"2021-09-30T08:28:12.200Z","updated_at":"2021-09-30T08:28:12.200Z"},{"id":3020,"pubmed_id":29351546,"title":"Accessing an Expanded Exposure Science Module at the Comparative Toxicogenomics Database.","year":2018,"url":"http://doi.org/10.1289/EHP2873","authors":"Grondin CJ,Davis AP,Wiegers TC,Wiegers JA,Mattingly CJ","journal":"Environ Health Perspect","doi":"10.1289/EHP2873","created_at":"2021-09-30T08:28:12.317Z","updated_at":"2021-09-30T08:28:12.317Z"},{"id":3021,"pubmed_id":32663284,"title":"Leveraging the Comparative Toxicogenomics Database to fill in knowledge gaps for environmental health: a test case for air pollution-induced cardiovascular disease","year":2020,"url":"http://doi.org/10.1093/toxsci/kfaa113","authors":"Davis AP., Wiegers TC., Grondin CJ., Johnson RJ., Sciaky D., Wiegers J., Mattingly CJ.","journal":"Toxicological Sciences","doi":"https://doi.org/10.1093/toxsci/kfaa113","created_at":"2021-09-30T08:28:12.429Z","updated_at":"2021-09-30T08:28:12.429Z"},{"id":4270,"pubmed_id":null,"title":"Comparative Toxicogenomics Database (CTD): update 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac833","authors":"Davis, Allan Peter; Wiegers, Thomas C; Johnson, Robin J; Sciaky, Daniela; Wiegers, Jolene; Mattingly, Carolyn J; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac833","created_at":"2024-05-01T14:56:56.536Z","updated_at":"2024-05-01T14:56:56.536Z"}],"licence_links":[{"licence_name":"Comparative Toxicogenomics Database Terms of Use","licence_id":1107,"licence_url":"https://ctdbase.org/about/legal.jsp","link_id":3617,"relation":"applies_to_content"}],"grants":[{"id":559,"fairsharing_record_id":1716,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:24:36.090Z","updated_at":"2021-09-30T09:29:33.244Z","grant_id":297,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"ES019604","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8268,"fairsharing_record_id":1716,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:31:50.724Z","updated_at":"2021-09-30T09:31:50.780Z","grant_id":1353,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"ES014065","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9262,"fairsharing_record_id":1716,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.270Z","updated_at":"2022-04-11T12:07:26.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11756,"fairsharing_record_id":1716,"organisation_id":4358,"relation":"maintains","created_at":"2024-05-01T14:59:01.248Z","updated_at":"2024-05-01T14:59:01.248Z","grant_id":null,"is_lead":true,"saved_state":{"id":4358,"name":"North Carolina State University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1717","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T09:10:51.114Z","metadata":{"doi":"10.25504/FAIRsharing.pfes4f","name":"Protein Protein Interaction Inhibition Database","status":"ready","contacts":[{"contact_name":"Philippe Roche","contact_email":"philippe.roche@inserm.fr","contact_orcid":"0000-0002-5580-0588"},{"contact_name":"Marie-jeanne Basse","contact_email":"marie-jeanne.basse@inserm.fr","contact_orcid":null}],"homepage":"https://2p2idb.marseille.inserm.fr/","citations":[],"identifier":1717,"description":"The Protein Protein Interaction Inhibition Database (2P2Idb) is a hand-curated structural database dedicated to the modulation of protein-protein interactions (PPIs). It includes all interactions for which both the protein-protein and protein-modulator complexes have been structurally characterized by X-ray or NMR. The latest version (2024-04-08) of 2P2Idb contains 55 Protein-Protein complexes, 2060 Protein-Ligand complexes and 1769 small molecule PPI inhibitors.. Only inhibitors found at the interface (orthosteric modulators) have been considered. Please note that this database is available for download, but does not have an interactive online search option.\n\n","abbreviation":"2P2Idb","data_curation":{"url":"https://doi.org/10.1093/database/baw007","type":"manual"},"support_links":[],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://2p2idb.marseille.inserm.fr/2p2i_inspector.html","name":"2P2I inspector v2.0"},{"url":"https://chemodots.marseille.inserm.fr/","name":"ChemoDOTS"}],"data_access_condition":{"type":"open","notes":"Download only"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000174","bsg-d000174"],"name":"FAIRsharing record for: Protein Protein Interaction Inhibition Database","abbreviation":"2P2Idb","url":"https://fairsharing.org/10.25504/FAIRsharing.pfes4f","doi":"10.25504/FAIRsharing.pfes4f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Protein Interaction Inhibition Database (2P2Idb) is a hand-curated structural database dedicated to the modulation of protein-protein interactions (PPIs). It includes all interactions for which both the protein-protein and protein-modulator complexes have been structurally characterized by X-ray or NMR. The latest version (2024-04-08) of 2P2Idb contains 55 Protein-Protein complexes, 2060 Protein-Ligand complexes and 1769 small molecule PPI inhibitors.. Only inhibitors found at the interface (orthosteric modulators) have been considered. Please note that this database is available for download, but does not have an interactive online search option.\n\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Drug Discovery","Cheminformatics","Epigenetics","Structural Biology","Computational Biology","Life Science","Computer Science"],"domains":["Protein structure","Protein interaction","Structure"],"taxonomies":["All"],"user_defined_tags":["Protein-protein interaction modulators"],"countries":["France"],"publications":[{"id":148,"pubmed_id":23203891,"title":"2P2Idb: a structural database dedicated to orthosteric modulation of protein-protein interactions.","year":2012,"url":"http://doi.org/10.1093/nar/gks1002","authors":"Basse MJ,Betzi S,Bourgeas R,Bouzidi S,Chetrit B,Hamon V,Morelli X,Roche P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1002","created_at":"2021-09-30T08:22:36.088Z","updated_at":"2021-09-30T11:28:43.293Z"},{"id":1157,"pubmed_id":20231898,"title":"Atomic analysis of protein-protein interfaces with known inhibitors: the 2P2I database.","year":2010,"url":"http://doi.org/10.1371/journal.pone.0009598","authors":"Bourgeas R,Basse MJ,Morelli X,Roche P","journal":"PLoS One","doi":"10.1371/journal.pone.0009598","created_at":"2021-09-30T08:24:28.665Z","updated_at":"2021-09-30T08:24:28.665Z"},{"id":3369,"pubmed_id":null,"title":"2P2Idb v2: update of a structural database dedicated to orthosteric modulation of protein–protein interactions","year":2016,"url":"http://dx.doi.org/10.1093/database/baw007","authors":"Basse, Marie-Jeanne; Betzi, Stéphane; Morelli, Xavier; Roche, Philippe; ","journal":"Database","doi":"10.1093/database/baw007","created_at":"2022-05-19T17:53:01.700Z","updated_at":"2022-05-19T17:53:01.700Z"},{"id":4265,"pubmed_id":26980515,"title":"2P2Idb v2: update of a structural database dedicated to orthosteric modulation of protein-protein interactions","year":2016,"url":"https://academic.oup.com/database/article/doi/10.1093/database/baw007/2630150","authors":"Marie-Jeanne Basse, Stéphane Betzi, Xavier Morelli, Philippe Roche ","journal":"Database (Oxford)","doi":"10.1093/database/baw007","created_at":"2024-04-23T15:21:35.913Z","updated_at":"2024-04-23T15:21:35.913Z"}],"licence_links":[],"grants":[{"id":563,"fairsharing_record_id":1717,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:36.262Z","updated_at":"2021-09-30T09:28:57.267Z","grant_id":29,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-11-BS07-019-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":562,"fairsharing_record_id":1717,"organisation_id":1676,"relation":"maintains","created_at":"2021-09-30T09:24:36.211Z","updated_at":"2022-05-19T17:53:29.967Z","grant_id":null,"is_lead":true,"saved_state":{"id":1676,"name":"Laboratory of Integrative Structural \u0026 Chemical Biology","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZHc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f0201e40d70cd0e84b62431e1b83fdb52aaabf57/2p2.png?disposition=inline","exhaustive_licences":false}},{"id":"1701","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:59:51.143Z","metadata":{"doi":"10.25504/FAIRsharing.4dfs3p","name":"Whole-Cell Knowledge Base","status":"deprecated","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"http://www.wholecellkb.org","citations":[],"identifier":1701,"description":"WholeCellKB is a collection of open-access model organism databases specifically designed to enable whole-cell models. Currently, WholeCellKB contains a database of Mycoplasma genitalium, a Gram-positive bacterium and common human pathogen. The M. genitalium database is the most comprehensive description of any single organism to date, and was used to develop the first whole-cell computational model. The M. genitalium database was curated from over 900 primary research articles, reviews, books, and databases. The M. genitalium database is extensively cross-referenced to external resources including BioCyc, KEGG, and UniProt. WholeCellKB is also an open-source web-based software program for constructing model organism databases. The WholeCellKB software provides an extensive and fully customizable data model that fully describes individual species including the structure and function of each gene, protein, reaction, and pathway. WholeCellKB is freely accessible via a web-based user interface as well as via a RESTful web service.","abbreviation":"WholeCellKB","data_curation":{"url":"http://www.wholecellkb.org/about","type":"manual","notes":"WholeCellKB database was curated from over 900 primary research articles, reviews, books, and databases over four years by a team of three researchers at Stanford University."},"support_links":[{"url":"http://www.wholecellkb.org/tutorial/Mgenitalium","type":"Help documentation"},{"url":"wholecell@lists.stanford.edu","type":"Mailing list"},{"url":"http://www.wholecellkb.org/about/Mgenitalium","type":"Help documentation"},{"url":"https://twitter.com/jonrkarr","type":"Twitter"}],"year_creation":2013,"data_versioning":"yes","deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"url":"https://www.wholecellkb.org/","type":"open","notes":"WholeCellKB is a collection of free, open-source model organism database"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000158","bsg-d000158"],"name":"FAIRsharing record for: Whole-Cell Knowledge Base","abbreviation":"WholeCellKB","url":"https://fairsharing.org/10.25504/FAIRsharing.4dfs3p","doi":"10.25504/FAIRsharing.4dfs3p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WholeCellKB is a collection of open-access model organism databases specifically designed to enable whole-cell models. Currently, WholeCellKB contains a database of Mycoplasma genitalium, a Gram-positive bacterium and common human pathogen. The M. genitalium database is the most comprehensive description of any single organism to date, and was used to develop the first whole-cell computational model. The M. genitalium database was curated from over 900 primary research articles, reviews, books, and databases. The M. genitalium database is extensively cross-referenced to external resources including BioCyc, KEGG, and UniProt. WholeCellKB is also an open-source web-based software program for constructing model organism databases. The WholeCellKB software provides an extensive and fully customizable data model that fully describes individual species including the structure and function of each gene, protein, reaction, and pathway. WholeCellKB is freely accessible via a web-based user interface as well as via a RESTful web service.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12614}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Systems Biology"],"domains":["Curated information"],"taxonomies":["Mycoplasma genitalium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":806,"pubmed_id":23175606,"title":"WholeCellKB: model organism databases for comprehensive whole-cell models.","year":2012,"url":"http://doi.org/10.1093/nar/gks1108","authors":"Karr JR,Sanghvi JC,Macklin DN,Arora A,Covert MW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1108","created_at":"2021-09-30T08:23:48.893Z","updated_at":"2021-09-30T11:28:51.778Z"}],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":159,"relation":"undefined"}],"grants":[{"id":505,"fairsharing_record_id":1701,"organisation_id":1627,"relation":"maintains","created_at":"2021-09-30T09:24:34.146Z","updated_at":"2021-09-30T09:24:34.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":1627,"name":"Karr Lab, Institute for Multiscale Biology \u0026 Genomics, New York, NY, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":506,"fairsharing_record_id":1701,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:34.184Z","updated_at":"2021-09-30T09:29:01.649Z","grant_id":61,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"1P50GM107615","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7877,"fairsharing_record_id":1701,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:20.107Z","updated_at":"2021-09-30T09:29:20.197Z","grant_id":200,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"5DP1LM01150-05","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1702","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:19:12.075Z","metadata":{"doi":"10.25504/FAIRsharing.qkrmth","name":"RhesusBase","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"rhesusbase@pku.edu.cn"}],"homepage":"https://rhesusbase.com/","citations":[],"identifier":1702,"description":"RhesusBase was developed to refine genome-wide macaque gene structures, to integrate macaque functional annotations, and to provide a 'one-stop' knowledgebase for the primate research community.","abbreviation":"RhesusBase","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://rhesusbase.com/help/FAQ.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"https://rhesusbase.com/help/document/genePage.jsp","name":"Gene Page Manual","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://browser.rhesusbase.com/cgi-bin/hgBlat?command=start","name":"Blast"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgPcr?hgsid=1864619","name":"In-Silico PCR"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgTables?hgsid=1864619","name":"Table Browser"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgLiftOver?hgsid=1864619","name":"LiftOver"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgIntegrator?hgsid=1864619","name":"Data Integrtor"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgVai?hgsid=1864619","name":"Variant Annotation Integrator"},{"url":"https://browser.rhesusbase.com/cgi-bin/hgGenome?hgsid=1864619","name":"Genome Graphs"},{"url":"https://browser.rhesusbase.com/util.html","name":"Other Tolls"}],"deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000159","bsg-d000159"],"name":"FAIRsharing record for: RhesusBase","abbreviation":"RhesusBase","url":"https://fairsharing.org/10.25504/FAIRsharing.qkrmth","doi":"10.25504/FAIRsharing.qkrmth","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RhesusBase was developed to refine genome-wide macaque gene structures, to integrate macaque functional annotations, and to provide a 'one-stop' knowledgebase for the primate research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene model annotation","Pseudogene","Gene"],"taxonomies":["Homo sapiens","Mus musculus","Rhesus macaques"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1298,"pubmed_id":26882984,"title":"RhesusBase PopGateway: Genome-Wide Population Genetics Atlas in Rhesus Macaque.","year":2016,"url":"http://doi.org/10.1093/molbev/msw025","authors":"Zhong X,Peng J,Shen QS,Chen JY,Gao H,Luan X,Yan S,Huang X,Zhang SJ,Xu L,Zhang X,Tan BC,Li CY","journal":"Mol Biol Evol","doi":"10.1093/molbev/msw025","created_at":"2021-09-30T08:24:44.935Z","updated_at":"2021-09-30T08:24:44.935Z"},{"id":1299,"pubmed_id":24577841,"title":"Evolutionary interrogation of human biology in well-annotated genomic framework of rhesus macaque.","year":2014,"url":"http://doi.org/10.1093/molbev/msu084","authors":"Zhang SJ,Liu CJ,Yu P,Zhong X,Chen JY,Yang X,Peng J,Yan S,Wang C,Zhu X,Xiong J,Zhang YE,Tan BC,Li CY","journal":"Mol Biol Evol","doi":"10.1093/molbev/msu084","created_at":"2021-09-30T08:24:45.043Z","updated_at":"2021-09-30T08:24:45.043Z"},{"id":1307,"pubmed_id":22965133,"title":"RhesusBase: a knowledgebase for the monkey research community.","year":2012,"url":"http://doi.org/10.1093/nar/gks835","authors":"Zhang SJ,Liu CJ,Shi M,Kong L,Chen JY,Zhou WZ,Zhu X,Yu P,Wang J,Yang X,Hou N,Ye Z,Zhang R,Xiao R,Zhang X,Li CY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks835","created_at":"2021-09-30T08:24:45.957Z","updated_at":"2021-09-30T11:29:05.760Z"}],"licence_links":[],"grants":[{"id":8484,"fairsharing_record_id":1702,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:51.185Z","updated_at":"2021-09-30T09:32:51.237Z","grant_id":1806,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31522032","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":509,"fairsharing_record_id":1702,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:34.265Z","updated_at":"2021-09-30T09:30:14.014Z","grant_id":612,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2012CB518004","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":507,"fairsharing_record_id":1702,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:34.216Z","updated_at":"2021-09-30T09:31:45.436Z","grant_id":1313,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31471240","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8294,"fairsharing_record_id":1702,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:56.899Z","updated_at":"2021-09-30T09:31:56.949Z","grant_id":1400,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2013CB531202","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1703","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:27.948Z","metadata":{"doi":"10.25504/FAIRsharing.bw1e90","name":"Human Ageing Genomic Resources","status":"ready","contacts":[{"contact_name":"João Pedro de Magalhães","contact_email":"jp@senescence.info"}],"homepage":"https://genomics.senescence.info/","citations":[],"identifier":1703,"description":"The Human Ageing Genomic Resources (HAGR) is a collection of databases and tools for the biology and genetics of ageing. HAGR features several databases with high-quality, manually-curated data: 1) GenAge, a database of genes associated with ageing in humans and model organisms; 2) AnAge, an extensive collection of longevity records and complementary traits for over 4,000 vertebrate species; and 3) GenDR, a database containing both gene mutations that interfere with dietary restriction-mediated lifespan extension and consistent gene expression changes induced by dietary restriction.","abbreviation":"HAGR","data_curation":{"url":"https://genomics.senescence.info/about.html","type":"manual"},"support_links":[{"url":"aging@iv.ac.uk","type":"Support email"},{"url":"http://genomics.senescence.info/help.html","type":"Help documentation"},{"url":"https://twitter.com/AgingBiology","type":"Twitter"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"http://genomics.senescence.info/software/perl.html","name":"Ageing Research Computational Tools 0.9"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011871","name":"re3data:r3d100011871","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007700","name":"SciCrunch:RRID:SCR_007700","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000160","bsg-d000160"],"name":"FAIRsharing record for: Human Ageing Genomic Resources","abbreviation":"HAGR","url":"https://fairsharing.org/10.25504/FAIRsharing.bw1e90","doi":"10.25504/FAIRsharing.bw1e90","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Ageing Genomic Resources (HAGR) is a collection of databases and tools for the biology and genetics of ageing. HAGR features several databases with high-quality, manually-curated data: 1) GenAge, a database of genes associated with ageing in humans and model organisms; 2) AnAge, an extensive collection of longevity records and complementary traits for over 4,000 vertebrate species; and 3) GenDR, a database containing both gene mutations that interfere with dietary restriction-mediated lifespan extension and consistent gene expression changes induced by dietary restriction.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Geriatric Medicine","Genomics","Biomedical Science"],"domains":["Model organism","Aging","Phenotype","Disease"],"taxonomies":["Caenorhabditis briggsae","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Podospora anserina","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1924,"pubmed_id":18986374,"title":"The Human Ageing Genomic Resources: online databases and tools for biogerontologists.","year":2008,"url":"http://doi.org/10.1111/j.1474-9726.2008.00442.x","authors":"de Magalhães JP., Budovsky A., Lehmann G., Costa J., Li Y., Fraifeld V., Church GM.,","journal":"Aging Cell","doi":"10.1111/j.1474-9726.2008.00442.x","created_at":"2021-09-30T08:25:56.524Z","updated_at":"2021-09-30T08:25:56.524Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":191,"relation":"undefined"},{"licence_name":"HAGR Disclaimer, Credits and Copyright","licence_id":373,"licence_url":"http://genomics.senescence.info/legal.html","link_id":161,"relation":"undefined"}],"grants":[{"id":510,"fairsharing_record_id":1703,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:34.296Z","updated_at":"2021-09-30T09:30:07.888Z","grant_id":564,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"ME050495MES","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":511,"fairsharing_record_id":1703,"organisation_id":1420,"relation":"maintains","created_at":"2021-09-30T09:24:34.338Z","updated_at":"2021-09-30T09:24:34.338Z","grant_id":null,"is_lead":false,"saved_state":{"id":1420,"name":"Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1704","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:15.459Z","metadata":{"doi":"10.25504/FAIRsharing.96xqbf","name":"PTMcode","status":"ready","contacts":[{"contact_name":"Pablo Minguez","contact_email":"pablominguez@gmail.com","contact_orcid":"0000-0003-4099-9421"}],"homepage":"http://ptmcode.embl.de","citations":[],"identifier":1704,"description":"PTMCode is a resource of known and predicted functional associations between protein post-translational modifications (PTMs) within and between interacting proteins.","abbreviation":"PTMcode","data_curation":{"url":"http://ptmcode.embl.de/help.cgi","type":"automated"},"support_links":[{"url":"letunic@biobyte.de","type":"Support email"},{"url":"http://ptmcode.embl.de/help.cgi","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000161","bsg-d000161"],"name":"FAIRsharing record for: PTMcode","abbreviation":"PTMcode","url":"https://fairsharing.org/10.25504/FAIRsharing.96xqbf","doi":"10.25504/FAIRsharing.96xqbf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PTMCode is a resource of known and predicted functional associations between protein post-translational modifications (PTMs) within and between interacting proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Post-translational protein modification","Functional association"],"taxonomies":["Aedes aegypti","Anopheles gambiae","Arabidopsis thaliana","Bos taurus","Caenorhabditis elegans","Canis familiaris","Drosophila melanogaster","Felis catus","Gallus gallus","Homo sapiens","Macaca mulatta","Monodelphis domestica","Mus musculus","Pan troglodytes","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Xenopus tropicalis"],"user_defined_tags":["Functional associations between PTMs"],"countries":["Germany"],"publications":[{"id":695,"pubmed_id":25361965,"title":"PTMcode v2: a resource for functional associations of post- translational modifications within and between proteins.","year":2014,"url":"http://doi.org/10.1093/nar/gku1081","authors":"Pablo Minguez, Ivica Letunic, Luca Parca, Luz Garcia-Alonso, Joaquin Dopazo, Jaime Huerta-Cepas and Peer Bork","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku1081","created_at":"2021-09-30T08:23:36.595Z","updated_at":"2021-09-30T08:23:36.595Z"},{"id":1925,"pubmed_id":23193284,"title":"PTMcode: a database of known and predicted functional associations between post-translational modifications in proteins.","year":2012,"url":"http://doi.org/10.1093/nar/gks1230","authors":"Minguez P., Letunic I., Parca L., Bork P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1230","created_at":"2021-09-30T08:25:56.631Z","updated_at":"2021-09-30T08:25:56.631Z"},{"id":1926,"pubmed_id":22806145,"title":"Deciphering a global network of functionally associated post-translational modifications.","year":2012,"url":"http://doi.org/10.1038/msb.2012.31","authors":"Minguez P., Parca L., Diella F., Mende DR., Kumar R., Helmer-Citterich M., Gavin AC., van Noort V., Bork P.,","journal":"Mol. Syst. Biol.","doi":"10.1038/msb.2012.31","created_at":"2021-09-30T08:25:56.739Z","updated_at":"2021-09-30T08:25:56.739Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":167,"relation":"undefined"}],"grants":[{"id":512,"fairsharing_record_id":1704,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:34.379Z","updated_at":"2021-09-30T09:24:34.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1707","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:36.881Z","metadata":{"doi":"10.25504/FAIRsharing.f55jfq","name":"GenomeRNAi","status":"ready","contacts":[{"contact_name":"Ulrike Hardeland","contact_email":"contact@genomernai.org"}],"homepage":"http://www.genomernai.org","citations":[],"identifier":1707,"description":"The GenomeRNAi database collects RNAi phenotypes recorded in the literature for Homo sapiens and Drosophila melanogaster, as well as details on RNAi reagents. The data is well integrated with information from other resources, allowing comparison within and across species. Download files are provided.","abbreviation":"GenomeRNAi","data_curation":{"url":"http://www.genomernai.org/Index","type":"manual","notes":"RNAi screening data is extracted from the literature by manual curation."},"support_links":[{"url":"contact@genomernai.org","name":"contact@genomernai.org","type":"Support email"},{"url":"http://rnai-screening-wiki.dkfz.de/signaling/wiki/display/genomernai/Home","type":"Help documentation"},{"url":"https://twitter.com/genomernai","type":"Twitter"}],"year_creation":2006,"data_versioning":"no","associated_tools":[{"url":"http://www.e-talen.org/E-TALEN/","name":"E-TALEN"},{"url":"http://www.dkfz.de/signaling/e-rnai3/","name":"E-RNAi"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011089","name":"re3data:r3d100011089","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013088","name":"SciCrunch:RRID:SCR_013088","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"http://www.genomernai.org/About#","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000164","bsg-d000164"],"name":"FAIRsharing record for: GenomeRNAi","abbreviation":"GenomeRNAi","url":"https://fairsharing.org/10.25504/FAIRsharing.f55jfq","doi":"10.25504/FAIRsharing.f55jfq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GenomeRNAi database collects RNAi phenotypes recorded in the literature for Homo sapiens and Drosophila melanogaster, as well as details on RNAi reagents. The data is well integrated with information from other resources, allowing comparison within and across species. Download files are provided.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10931}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["RNA interference","Literature curation"],"taxonomies":["Drosophila melanogaster","Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":223,"pubmed_id":17135194,"title":"GenomeRNAi: a database for cell-based RNAi phenotypes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl906","authors":"Horn T., Arziman Z., Berger J., Boutros M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl906","created_at":"2021-09-30T08:22:44.157Z","updated_at":"2021-09-30T08:22:44.157Z"},{"id":226,"pubmed_id":19910367,"title":"GenomeRNAi: a database for cell-based RNAi phenotypes. 2009 update.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1038","authors":"Gilsdorf M., Horn T., Arziman Z., Pelz O., Kiner E., Boutros M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1038","created_at":"2021-09-30T08:22:44.431Z","updated_at":"2021-09-30T08:22:44.431Z"},{"id":1143,"pubmed_id":23193271,"title":"GenomeRNAi: a database for cell-based and in vivo RNAi phenotypes, 2013 update.","year":2012,"url":"http://doi.org/10.1093/nar/gks1170","authors":"Schmidt EE., Pelz O., Buhlmann S., Kerr G., Horn T., Boutros M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1170","created_at":"2021-09-30T08:24:27.032Z","updated_at":"2021-09-30T08:24:27.032Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1132,"relation":"undefined"}],"grants":[{"id":8874,"fairsharing_record_id":1707,"organisation_id":2785,"relation":"funds","created_at":"2022-02-10T16:21:39.402Z","updated_at":"2022-02-10T16:21:39.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":2785,"name":"The Helmholtz Association, Berlin, germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":525,"fairsharing_record_id":1707,"organisation_id":775,"relation":"maintains","created_at":"2021-09-30T09:24:34.838Z","updated_at":"2021-09-30T09:24:34.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":775,"name":"Division Signaling and Functional Genomics, German Cancer Research Center (DKFZ) and University of Heidelberg, Heidelberg, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":524,"fairsharing_record_id":1707,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:24:34.808Z","updated_at":"2021-09-30T09:24:34.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9234,"fairsharing_record_id":1707,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.223Z","updated_at":"2022-04-11T12:07:24.241Z","grant_id":827,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"HEALTH-F2-2008-201666","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1708","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:49.657Z","metadata":{"doi":"10.25504/FAIRsharing.6ktmmc","name":"Dfam","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"help@dfam.org"}],"homepage":"http://dfam.org/","citations":[{"doi":"10.1093/nar/gkv1272","pubmed_id":26612867,"publication_id":1909}],"identifier":1708,"description":"The Dfam database is a open collection of DNA Transposable Element sequence alignments, hidden Markov Models (HMMs), consensus sequences, and genome annotations. Dfam represents a collection of multiple sequence alignments, each containing a set of representative members of a specific transposable element family. These alignments (seed alignments) are used to generate HMMs and consensus sequences for each family. The Dfam website gives information about each family, and provides genome annotations for a collection of core genomes.","abbreviation":"Dfam","data_curation":{"url":"https://dfam.org/help/family","type":"manual"},"support_links":[{"url":"https://www.dfam.org/help/family","name":"Help Pages","type":"Help documentation"},{"url":"https://www.dfam.org/about","name":"About","type":"Help documentation"},{"url":"https://www.dfam.org/classification","name":"Dfam Classification","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000165","bsg-d000165"],"name":"FAIRsharing record for: Dfam","abbreviation":"Dfam","url":"https://fairsharing.org/10.25504/FAIRsharing.6ktmmc","doi":"10.25504/FAIRsharing.6ktmmc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dfam database is a open collection of DNA Transposable Element sequence alignments, hidden Markov Models (HMMs), consensus sequences, and genome annotations. Dfam represents a collection of multiple sequence alignments, each containing a set of representative members of a specific transposable element family. These alignments (seed alignments) are used to generate HMMs and consensus sequences for each family. The Dfam website gives information about each family, and provides genome annotations for a collection of core genomes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12616}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Hidden Markov model","DNA sequence data","Annotation","Genome annotation","Multiple sequence alignment","Transposable element","Genome"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1909,"pubmed_id":26612867,"title":"The Dfam database of repetitive DNA families.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1272","authors":"Hubley R,Finn RD,Clements J,Eddy SR,Jones TA,Bao W,Smit AF,Wheeler TJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1272","created_at":"2021-09-30T08:25:54.670Z","updated_at":"2021-09-30T11:29:23.035Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1578,"relation":"undefined"}],"grants":[{"id":526,"fairsharing_record_id":1708,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:24:34.880Z","updated_at":"2021-09-30T09:24:34.880Z","grant_id":null,"is_lead":true,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":528,"fairsharing_record_id":1708,"organisation_id":3100,"relation":"maintains","created_at":"2021-09-30T09:24:34.956Z","updated_at":"2021-09-30T09:24:34.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":3100,"name":"University of Montana, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":527,"fairsharing_record_id":1708,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:34.918Z","updated_at":"2021-09-30T09:24:34.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":530,"fairsharing_record_id":1708,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:24:35.025Z","updated_at":"2021-09-30T09:24:35.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":531,"fairsharing_record_id":1708,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:35.072Z","updated_at":"2021-09-30T09:29:40.229Z","grant_id":352,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41LM006252","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9242,"fairsharing_record_id":1708,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.804Z","updated_at":"2022-04-11T12:07:24.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1711","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-02T07:48:32.573Z","metadata":{"doi":"10.25504/FAIRsharing.kkdpxe","name":"MetaboLights","status":"ready","contacts":[{"contact_name":"Claire O'Donovan","contact_email":"odonovan@ebi.ac.uk","contact_orcid":"0000-0001-8051-7429"}],"homepage":"https://www.ebi.ac.uk/metabolights/","citations":[{"doi":"10.1093/nar/gkz1019","pubmed_id":31691833,"publication_id":2771}],"identifier":1711,"description":"MetaboLights is a database for metabolomics studies, their raw experimental data and associated metadata. The database is cross-species and cross-technique and it covers metabolite structures and their reference spectra as well as their biological roles and locations. MetaboLights is the recommended metabolomics repository for a number of leading journals and ELIXIR, the European infrastructure for life science information.","abbreviation":"MTBLS","data_curation":{"url":"https://www.ebi.ac.uk/metabolights/editor/guides/Quick_start_Guide/Quick_start_overview","type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/metabolights/contact","name":"Feedback","type":"Contact form"},{"url":"metabolights-help@ebi.ac.uk","name":"MetaboLights helpdesk","type":"Support email"},{"url":"http://www.ebi.ac.uk/metabolights/help","name":"Help Pages","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/metabolights-quick-tour","name":"MetaboLights: Quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/topic/metabolomics","name":"Training","type":"Training documentation"},{"url":"https://twitter.com/MetaboLights","name":"@MetaboLights","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"ftp://ftp.ebi.ac.uk/pub/databases/metabolights/submissionTool/ISAcreatorMetaboLights.zip","name":"ISAcreator-MetaboLights Bundle 1.7"},{"url":"http://phenomenal-h2020.eu/home/","name":"PhenoMeNal"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011556","name":"re3data:r3d100011556","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014663","name":"SciCrunch:RRID:SCR_014663","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/metabolights/editor/guides/Quick_start_Guide/Quick_start_overview","type":"controlled","notes":"Deposition under login and passing successfull curation"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000168","bsg-d000168"],"name":"FAIRsharing record for: MetaboLights","abbreviation":"MTBLS","url":"https://fairsharing.org/10.25504/FAIRsharing.kkdpxe","doi":"10.25504/FAIRsharing.kkdpxe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaboLights is a database for metabolomics studies, their raw experimental data and associated metadata. The database is cross-species and cross-technique and it covers metabolite structures and their reference spectra as well as their biological roles and locations. MetaboLights is the recommended metabolomics repository for a number of leading journals and ELIXIR, the European infrastructure for life science information.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10923},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10932},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11043},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11326},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11832},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12617}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metabolomics"],"domains":["Chemical formula","Mass spectrum","Chemical structure","Biological sample annotation","Computational biological predictions","Validation","Lipid","Metabolite","Nuclear Magnetic Resonance (NMR) spectroscopy","Publication","Biological sample","Assay","Protocol","Biocuration"],"taxonomies":["All"],"user_defined_tags":["Fluxomics"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":509,"pubmed_id":27010336,"title":"MetaboLights: An Open-Access Database Repository for Metabolomics Data.","year":2016,"url":"http://doi.org/10.1002/0471250953.bi1413s53","authors":"Kale NS,Haug K,Conesa P,Jayseelan K,Moreno P,Rocca-Serra P,Nainala VC,Spicer RA,Williams M,Li X,Salek RM,Griffin JL,Steinbeck C","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi1413s53","created_at":"2021-09-30T08:23:15.559Z","updated_at":"2021-09-30T08:23:15.559Z"},{"id":652,"pubmed_id":null,"title":"Dissemination of metabolomics results: role of MetaboLights and COSMOS.","year":2013,"url":"http://doi.org/10.1186/2047-217X-2-8","authors":"Salek RM, Haug K, Steinbeck C","journal":"GigaScience","doi":"10.1186/2047-217X-2-8","created_at":"2021-09-30T08:23:31.935Z","updated_at":"2021-09-30T08:23:31.935Z"},{"id":1973,"pubmed_id":23109552,"title":"MetaboLights--an open-access general-purpose repository for metabolomics studies and associated meta-data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1004","authors":"Haug K, Salek RM, Conesa P, Hastings J, de Matos P, Rijnbeek M, Mahendraker T, Williams M, Neumann S, Rocca-Serra P, Maguire E, González-Beltrán A, Sansone SA, Griffin JL, Steinbeck C.","journal":"Nucleic Acid Research","doi":"10.1093/nar/gks1004","created_at":"2021-09-30T08:26:02.024Z","updated_at":"2021-09-30T08:26:02.024Z"},{"id":2186,"pubmed_id":null,"title":"MetaboLights: towards a new COSMOS of metabolomics data management.","year":2013,"url":"http://doi.org/10.1007/s11306-012-0462-0","authors":"Steinbeck C, Conesa P, Haug K, Mahendraker T, Williams M, Maguire E, Rocca-Serra P, Sansone SA, Salek RM, Griffin JL.","journal":"Metabolomics","doi":"10.1007/s11306-012-0462-0","created_at":"2021-09-30T08:26:26.460Z","updated_at":"2021-09-30T08:26:26.460Z"},{"id":2313,"pubmed_id":null,"title":"The MetaboLights repository: curation challenges in metabolomics","year":2013,"url":"http://doi.org/10.1093/database/bat029","authors":"Reza M. Salek, Kenneth Haug, Pablo Conesa, Janna Hastings, Mark Williams, Tejasvi Mahendraker, Eamonn Maguire, Alejandra N. González-Beltrán, Philippe Rocca-Serra, Susanna-Assunta Sansone and Christoph Steinbeck","journal":"Database: The Journal of Biological Databases and Curation","doi":"10.1093/database/bat029","created_at":"2021-09-30T08:26:43.777Z","updated_at":"2021-09-30T08:26:43.777Z"},{"id":2315,"pubmed_id":28830114,"title":"Automated assembly of species metabolomes through data submission into a public repository.","year":2017,"url":"http://doi.org/10.1093/gigascience/gix062","authors":"Salek RM,Conesa P,Cochrane K,Haug K,Williams M,Kale N,Moreno P,Jayaseelan KV,Macias JR,Nainala VC,Hall RD,Reed LK,Viant MR,O'Donovan C,Steinbeck C","journal":"Gigascience","doi":"10.1093/gigascience/gix062","created_at":"2021-09-30T08:26:44.041Z","updated_at":"2021-09-30T08:26:44.041Z"},{"id":2771,"pubmed_id":31691833,"title":"MetaboLights: a resource evolving in response to the needs of its scientific community.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1019","authors":"Haug K,Cochrane K,Nainala VC,Williams M,Chang J,Jayaseelan KV,O'Donovan C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1019","created_at":"2021-09-30T08:27:40.603Z","updated_at":"2021-09-30T11:29:43.678Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1689,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1688,"relation":"undefined"}],"grants":[{"id":539,"fairsharing_record_id":1711,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:35.363Z","updated_at":"2021-09-30T09:24:35.363Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":544,"fairsharing_record_id":1711,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:35.561Z","updated_at":"2021-09-30T09:29:34.853Z","grant_id":310,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U54GM114833-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":541,"fairsharing_record_id":1711,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:35.436Z","updated_at":"2021-09-30T09:30:20.614Z","grant_id":666,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M027635/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":540,"fairsharing_record_id":1711,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:24:35.402Z","updated_at":"2021-09-30T09:30:34.091Z","grant_id":768,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"634402","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":543,"fairsharing_record_id":1711,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:24:35.522Z","updated_at":"2021-09-30T09:24:35.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":542,"fairsharing_record_id":1711,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:35.472Z","updated_at":"2021-09-30T09:30:19.548Z","grant_id":658,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"MR/L01632X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8105,"fairsharing_record_id":1711,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:30:58.888Z","updated_at":"2021-09-30T09:30:58.955Z","grant_id":963,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654241","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1712","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:02.491Z","metadata":{"doi":"10.25504/FAIRsharing.gwyrzg","name":"Aptamer Base","status":"deprecated","homepage":"http://aptamerbase.semanticscience.org/","identifier":1712,"description":"Aptamer Base, a database that provides detailed, structured information about the experimental conditions under which aptamers were selected and their binding affinity quantified. The open collaborative nature of the Aptamer Base provides the community with a unique resource that can be updated and curated in a decentralized manner, thereby accommodating the ever evolving field of aptamer research. The Aptamer Base homepage is currently unavailable, and until we have more information from the resource, this record has been marked as uncertain.","abbreviation":"Aptamer Base","data_curation":{"type":"not found"},"support_links":[{"url":"http://aptamerbase.semanticscience.org/?q=contact","type":"Contact form"},{"url":"http://aptamerbase.semanticscience.org/?q=about","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"The database has been deprecated and the data can now be downloaded at https://github.com/micheldumontier/aptamerbase","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000169","bsg-d000169"],"name":"FAIRsharing record for: Aptamer Base","abbreviation":"Aptamer Base","url":"https://fairsharing.org/10.25504/FAIRsharing.gwyrzg","doi":"10.25504/FAIRsharing.gwyrzg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Aptamer Base, a database that provides detailed, structured information about the experimental conditions under which aptamers were selected and their binding affinity quantified. The open collaborative nature of the Aptamer Base provides the community with a unique resource that can be updated and curated in a decentralized manner, thereby accommodating the ever evolving field of aptamer research. The Aptamer Base homepage is currently unavailable, and until we have more information from the resource, this record has been marked as uncertain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":[],"taxonomies":[],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":228,"pubmed_id":22434840,"title":"Aptamer Base: a collaborative knowledge base to describe aptamers and SELEX experiments.","year":2012,"url":"http://doi.org/10.1093/database/bas006","authors":"Cruz-Toledo J., McKeague M., Zhang X., Giamberardino A., McConnell E., Francis T., DeRosa MC., Dumontier M.,","journal":"Database (Oxford)","doi":"10.1093/database/bas006","created_at":"2021-09-30T08:22:44.616Z","updated_at":"2021-09-30T08:22:44.616Z"}],"licence_links":[],"grants":[{"id":545,"fairsharing_record_id":1712,"organisation_id":674,"relation":"maintains","created_at":"2021-09-30T09:24:35.593Z","updated_at":"2021-09-30T09:24:35.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":674,"name":"Department of Biology, Carleton University, Ottawa, ON, Canada","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1709","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:34.895Z","metadata":{"doi":"10.25504/FAIRsharing.ab8f4d","name":"Nordic Control Allele Frequency and Genotype Database","status":"deprecated","contacts":[{"contact_name":"Samuli Ripatti","contact_email":"samuli.ripatti@thl.fi","contact_orcid":"0000-0002-0504-1202"}],"homepage":"http://nordicdb.org/","identifier":1709,"description":"Database of SNP genotype control data. The current version of NordicDB pools together high-density genome-wide SNP information from ∼5000 controls originating from Finnish, Swedish and Danish studies and shows country-specific allele frequencies for SNP markers.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","deprecation_date":"2015-09-01","deprecation_reason":"This resource is no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000166","bsg-d000166"],"name":"FAIRsharing record for: Nordic Control Allele Frequency and Genotype Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ab8f4d","doi":"10.25504/FAIRsharing.ab8f4d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of SNP genotype control data. The current version of NordicDB pools together high-density genome-wide SNP information from ∼5000 controls originating from Finnish, Swedish and Danish studies and shows country-specific allele frequencies for SNP markers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["DNA structural variation","Single nucleotide polymorphism","Allele","Genome-wide association study","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Denmark","Finland","Sweden","European Union"],"publications":[{"id":1927,"pubmed_id":20664631,"title":"NordicDB: a Nordic pool and portal for genome-wide control data.","year":2010,"url":"http://doi.org/10.1038/ejhg.2010.112","authors":"Leu M., Humphreys K., Surakka I., Rehnberg E., Muilu J., Rosenström P., Almgren P., Jääskeläinen J., Lifton RP., Kyvik KO., Kaprio J., Pedersen NL., Palotie A., Hall P., Grönberg H., Groop L., Peltonen L., Palmgren J., Ripatti S.,","journal":"Eur. J. Hum. Genet.","doi":"10.1038/ejhg.2010.112","created_at":"2021-09-30T08:25:56.848Z","updated_at":"2021-09-30T08:25:56.848Z"}],"licence_links":[],"grants":[{"id":535,"fairsharing_record_id":1709,"organisation_id":221,"relation":"funds","created_at":"2021-09-30T09:24:35.239Z","updated_at":"2021-09-30T09:24:35.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":221,"name":"Biocentrum Helsinki Foundation, Helsinki, Finland","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":533,"fairsharing_record_id":1709,"organisation_id":2852,"relation":"funds","created_at":"2021-09-30T09:24:35.155Z","updated_at":"2021-09-30T09:24:35.155Z","grant_id":null,"is_lead":false,"saved_state":{"id":2852,"name":"The Wallenberg Foundation","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":534,"fairsharing_record_id":1709,"organisation_id":1011,"relation":"funds","created_at":"2021-09-30T09:24:35.198Z","updated_at":"2021-09-30T09:24:35.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1011,"name":"Finnish Centre of Excellence of Complex Disease Genetics, Helsinki, Finland","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":536,"fairsharing_record_id":1709,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:24:35.277Z","updated_at":"2021-09-30T09:24:35.277Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1710","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:21.782Z","metadata":{"doi":"10.25504/FAIRsharing.90yw2f","name":"Worm Developmental Dynamics Database","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp"}],"homepage":"http://so.qbic.riken.jp/wddd/cdd/index.html","citations":[],"identifier":1710,"description":"This database is a collection of quantitative information about cell division dynamics in early Caenorhabditis elegans embryos when each of all essential embryonic genes is silenced individually by RNA interference (RNAi). The information is obtained by combining four-dimensional differential contrast interference (DIC) microscopy and computer image processing. The information collection provides novel opportunities for developing quantitative and computational approaches towards understanding animal development.","abbreviation":"WDDD","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://so.qbic.riken.jp/wddd/cdd/help.html","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000167","bsg-d000167"],"name":"FAIRsharing record for: Worm Developmental Dynamics Database","abbreviation":"WDDD","url":"https://fairsharing.org/10.25504/FAIRsharing.90yw2f","doi":"10.25504/FAIRsharing.90yw2f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is a collection of quantitative information about cell division dynamics in early Caenorhabditis elegans embryos when each of all essential embryonic genes is silenced individually by RNA interference (RNAi). The information is obtained by combining four-dimensional differential contrast interference (DIC) microscopy and computer image processing. The information collection provides novel opportunities for developing quantitative and computational approaches towards understanding animal development.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Bioimaging","Microscopy","RNA interference","Cell division"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":62,"pubmed_id":23172286,"title":"WDDD: Worm Developmental Dynamics Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1107","authors":"Kyoda K., Adachi E., Masuda E., Nagai Y., Suzuki Y., Oguro T., Urai M., Arai R., Furukawa M., Shimada K., Kuramochi J., Nagai E., Onami S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1107","created_at":"2021-09-30T08:22:26.956Z","updated_at":"2021-09-30T08:22:26.956Z"}],"licence_links":[],"grants":[{"id":537,"fairsharing_record_id":1710,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:35.309Z","updated_at":"2021-09-30T09:24:35.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":538,"fairsharing_record_id":1710,"organisation_id":1669,"relation":"maintains","created_at":"2021-09-30T09:24:35.333Z","updated_at":"2021-09-30T09:24:35.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":1669,"name":"Laboratory for Developmental Dynamics, RIKEN Quantitative Biology Center, Kobe, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1698","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:04:24.824Z","metadata":{"doi":"10.25504/FAIRsharing.1x53qk","name":"WikiPathways","status":"ready","contacts":[{"contact_name":"Alex Pico","contact_email":"alex.pico@gladstone.ucsf.edu","contact_orcid":"0000-0001-5706-2163"}],"homepage":"https://wikipathways.org","citations":[],"identifier":1698,"description":"WikiPathways is an open, collaborative platform dedicated to the curation of biological pathways. WikiPathways was established to facilitate the contribution and maintenance of pathway information by the biology community.","abbreviation":"WikiPathways","data_curation":{"url":"https://www.wikipathways.org/help.html#participate","type":"manual","notes":"A weekly rotation of community curators work to ensure the quality of new content and edits to existing content."},"support_links":[{"url":"http://wikipathways.org/index.php/Help:Contents","type":"Help documentation"},{"url":"http://wikipathways.tumblr.com/","type":"Help documentation"},{"url":"https://groups.google.com/forum/#!forum/wikipathways-discuss","type":"Mailing list"},{"url":"https://twitter.com/WikiPathways","type":"Twitter"},{"url":"https://github.com/wikipathways/wikipathways-faq/discussions","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://pathvisio.org/","name":"PathVisio 3.3.0"},{"url":"http://apps.cytoscape.org/apps/wikipathways","name":"WikiPathways App 3.3.7"},{"url":"https://pathvisio.github.io/plugins/plugins-repo","name":"WikiPathways Plugin"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013316","name":"re3data:r3d100013316","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002134","name":"SciCrunch:RRID:SCR_002134","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.wikipathways.org/about.html","type":"open","notes":"The pathway content at WikiPathways is freely available for download in a variety of data and image formats"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.wikipathways.org/help.html#participate","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000155","bsg-d000155"],"name":"FAIRsharing record for: WikiPathways","abbreviation":"WikiPathways","url":"https://fairsharing.org/10.25504/FAIRsharing.1x53qk","doi":"10.25504/FAIRsharing.1x53qk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WikiPathways is an open, collaborative platform dedicated to the curation of biological pathways. WikiPathways was established to facilitate the contribution and maintenance of pathway information by the biology community.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17058},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11054},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11520},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12241},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12299},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12613}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Mathematical model","Image","Pathway model"],"taxonomies":["Anopheles gambiae","Arabidopsis thaliana","Bacillus subtilis","Bos taurus","Caenorhabditis elegans","Canis familiaris","Danio rerio","Drosophila melanogaster","Equus caballus","Escherichia coli","Gallus gallus","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Oryza sativa","Pan troglodytes","Rattus norvegicus","Saccharomyces cerevisiae","Sus scrofa","Xenopus laevis","Zea mays"],"user_defined_tags":["COVID-19"],"countries":["Netherlands","United Kingdom","United States"],"publications":[{"id":216,"pubmed_id":18651794,"title":"WikiPathways: pathway editing for the people.","year":2008,"url":"http://doi.org/10.1371/journal.pbio.0060184","authors":"Pico AR., Kelder T., van Iersel MP., Hanspers K., Conklin BR., Evelo C.,","journal":"PLoS Biol.","doi":"10.1371/journal.pbio.0060184","created_at":"2021-09-30T08:22:43.448Z","updated_at":"2021-09-30T08:22:43.448Z"},{"id":1315,"pubmed_id":19649250,"title":"Mining biological pathways using WikiPathways web services.","year":2009,"url":"http://doi.org/10.1371/journal.pone.0006447","authors":"Kelder T., Pico AR., Hanspers K., van Iersel MP., Evelo C., Conklin BR.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0006447","created_at":"2021-09-30T08:24:46.842Z","updated_at":"2021-09-30T08:24:46.842Z"},{"id":1955,"pubmed_id":22096230,"title":"WikiPathways: building research communities on biological pathways.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1074","authors":"Kelder T,van Iersel MP,Hanspers K,Kutmon M,Conklin BR,Evelo CT,Pico AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1074","created_at":"2021-09-30T08:25:59.987Z","updated_at":"2021-09-30T11:29:24.637Z"},{"id":1965,"pubmed_id":33211851,"title":"WikiPathways: connecting communities.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1024","authors":"Martens M,Ammar A,Riutta A,Waagmeester A,Slenter DN,Hanspers K,A Miller R,Digles D,Lopes EN,Ehrhart F,Dupuis LJ,Winckers LA,Coort SL,Willighagen EL,Evelo CT,Pico AR,Kutmon M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1024","created_at":"2021-09-30T08:26:01.186Z","updated_at":"2021-09-30T11:29:24.819Z"},{"id":2847,"pubmed_id":26481357,"title":"WikiPathways: capturing the full diversity of pathway knowledge.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1024","authors":"Kutmon M,Riutta A,Nunes N,Hanspers K,Willighagen EL,Bohler A,Melius J,Waagmeester A,Sinha SR,Miller R,Coort SL,Cirillo E,Smeets B,Evelo CT,Pico AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1024","created_at":"2021-09-30T08:27:50.261Z","updated_at":"2021-09-30T11:29:47.322Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":249,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2673,"relation":"applies_to_content"}],"grants":[{"id":495,"fairsharing_record_id":1698,"organisation_id":1159,"relation":"maintains","created_at":"2021-09-30T09:24:33.774Z","updated_at":"2021-09-30T09:24:33.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":1159,"name":"Gladstone Institutes","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7969,"fairsharing_record_id":1698,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:30:09.318Z","updated_at":"2021-09-30T09:30:09.374Z","grant_id":576,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"gm-100039","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8258,"fairsharing_record_id":1698,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:31:47.932Z","updated_at":"2021-09-30T09:31:47.972Z","grant_id":1331,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"GM100039","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":491,"fairsharing_record_id":1698,"organisation_id":2989,"relation":"maintains","created_at":"2021-09-30T09:24:33.625Z","updated_at":"2021-09-30T09:24:33.625Z","grant_id":null,"is_lead":false,"saved_state":{"id":2989,"name":"Department of Bioinformatics, Universiteit Maastricht","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":493,"fairsharing_record_id":1698,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:33.704Z","updated_at":"2021-09-30T09:24:33.704Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":492,"fairsharing_record_id":1698,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:33.663Z","updated_at":"2021-09-30T09:30:07.473Z","grant_id":561,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"GM103504","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":494,"fairsharing_record_id":1698,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:33.747Z","updated_at":"2021-09-30T09:30:32.075Z","grant_id":752,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HG003053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8419,"fairsharing_record_id":1698,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:33.468Z","updated_at":"2021-09-30T09:32:33.519Z","grant_id":1673,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"GM080223","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYlU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0b670e102fa16a71e75c331fa057537a20c83365/wplogo_500.png?disposition=inline","exhaustive_licences":false}},{"id":"1730","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:19.628Z","metadata":{"doi":"10.25504/FAIRsharing.dkbt9j","name":"Carbohydrate Structure Database","status":"ready","contacts":[{"contact_name":"Philip Toukach","contact_email":"netbox@toukach.ru"}],"homepage":"http://csdb.glycoscience.ru/database/","citations":[{"doi":"10.1093/nar/gkv840","pubmed_id":26286194,"publication_id":2160}],"identifier":1730,"description":"The Carbohydrate Structure Database (CSDB) contains manually curated natural carbohydrate structures, taxonomy, bibliography, NMR data and more. The Bacterial (BCSDB) and Plant\u0026Fungal (PFCSDB) databases were merged in 2015, becoming the CSDB, to improve the quality of content-dependent services, such as taxon clustering and NMR simulation.","abbreviation":"CSDB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://csdb.glycoscience.ru/database/core/feedback.php","type":"Contact form"},{"url":"netbox@toukach.ru","type":"Support email"},{"url":"http://csdb.glycoscience.ru/database/core/help.php?topic=examples","name":"Examples of Usage","type":"Help documentation"},{"url":"http://csdb.glycoscience.ru/database/core/help.php?db=database\u0026topic=about","name":"About CSDB","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://csdb.glycoscience.ru/database/core/nmrsim.html","name":"Predict NMR"},{"url":"http://csdb.glycoscience.ru/biopsel/grass_interface.php","name":"NMR-based Structure Matching"},{"url":"http://csdb.glycoscience.ru/database/core/dimers.html","name":"Monomer and Dimer Abundance"},{"url":"http://csdb.glycoscience.ru/integration/dsmatrix.php","name":"Glycome-based Taxon clustering"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012862","name":"re3data:r3d100012862","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://csdb.glycoscience.ru/database/core/submit.php","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000187","bsg-d000187"],"name":"FAIRsharing record for: Carbohydrate Structure Database","abbreviation":"CSDB","url":"https://fairsharing.org/10.25504/FAIRsharing.dkbt9j","doi":"10.25504/FAIRsharing.dkbt9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Carbohydrate Structure Database (CSDB) contains manually curated natural carbohydrate structures, taxonomy, bibliography, NMR data and more. The Bacterial (BCSDB) and Plant\u0026Fungal (PFCSDB) databases were merged in 2015, becoming the CSDB, to improve the quality of content-dependent services, such as taxon clustering and NMR simulation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Molecular structure","Carbohydrate","Nuclear Magnetic Resonance (NMR) spectroscopy","Cross linking","Curated information","Structure"],"taxonomies":["Algae","Archaea","Bacteria","Fungi","Plantae"],"user_defined_tags":["Glycan sequences","Non-carbohydrate moieties"],"countries":["Russia"],"publications":[{"id":665,"pubmed_id":17202164,"title":"Sharing of worldwide distributed carbohydrate-related digital resources: online connection of the Bacterial Carbohydrate Structure DataBase and GLYCOSCIENCES.de","year":2007,"url":"http://doi.org/10.1093/nar/gkl883","authors":"Ph. Toukach, H. Joshi, R. Ranzinger, Yu. Knirel, C.-W. von der Lieth","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl883","created_at":"2021-09-30T08:23:33.402Z","updated_at":"2021-09-30T08:23:33.402Z"},{"id":666,"pubmed_id":21155523,"title":"Bacterial Carbohydrate Structure Database 3: principles and realization","year":2010,"url":"http://doi.org/10.1021/ci100150d","authors":"Ph. Toukach","journal":"J. Chem. Inf. Model.","doi":"10.1021/ci100150d","created_at":"2021-09-30T08:23:33.510Z","updated_at":"2021-09-30T08:23:33.510Z"},{"id":2159,"pubmed_id":18694500,"title":"Statistical analysis of the Bacterial Carbohydrate Structure Data Base (BCSDB): Characteristics and diversity of bacterial carbohydrates in comparison with mammalian glycans","year":2008,"url":"http://doi.org/10.1186/1472-6807-8-35","authors":"S. Herget, Ph. Toukach, R. Ranzinger, W.E. Hull, Y. Knirel, C.-W. von der Lieth","journal":"BMC Struct. Biol.","doi":"10.1186/1472-6807-8-35","created_at":"2021-09-30T08:26:23.408Z","updated_at":"2021-09-30T08:26:23.408Z"},{"id":2160,"pubmed_id":26286194,"title":"Carbohydrate structure database merged from bacterial, archaeal, plant and fungal parts.","year":2015,"url":"http://doi.org/10.1093/nar/gkv840","authors":"Toukach PV,Egorova KS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv840","created_at":"2021-09-30T08:26:23.514Z","updated_at":"2021-09-30T11:29:30.328Z"},{"id":3729,"pubmed_id":null,"title":"Carbohydrate Structure Database (CSDB): Examples of Usage","year":2016,"url":"http://dx.doi.org/10.1007/978-4-431-56454-6_5","authors":"Egorova, Ksenia S.; Toukach, Philip V.; ","journal":"A Practical Guide to Using Glycomics Databases","doi":"10.1007/978-4-431-56454-6_5","created_at":"2022-12-07T13:15:03.025Z","updated_at":"2022-12-07T13:15:03.025Z"},{"id":3730,"pubmed_id":null,"title":"Bacterial, Plant, and Fungal Carbohydrate Structure Databases: Daily Usage","year":2015,"url":"http://dx.doi.org/10.1007/978-1-4939-2343-4_5","authors":"Toukach, Philip V.; Egorova, Ksenia S.; ","journal":"Methods in Molecular Biology","doi":"10.1007/978-1-4939-2343-4_5","created_at":"2022-12-07T13:15:28.756Z","updated_at":"2022-12-07T13:15:28.756Z"}],"licence_links":[],"grants":[{"id":611,"fairsharing_record_id":1730,"organisation_id":1512,"relation":"funds","created_at":"2021-09-30T09:24:37.876Z","updated_at":"2021-09-30T09:24:37.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":1512,"name":"International Science and Technology Center (ISTC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":610,"fairsharing_record_id":1730,"organisation_id":756,"relation":"maintains","created_at":"2021-09-30T09:24:37.838Z","updated_at":"2021-09-30T09:24:37.838Z","grant_id":null,"is_lead":false,"saved_state":{"id":756,"name":"Deutsches Krebsforschungszentrum","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":612,"fairsharing_record_id":1730,"organisation_id":3272,"relation":"maintains","created_at":"2021-09-30T09:24:37.914Z","updated_at":"2021-09-30T09:24:37.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":3272,"name":"Zelinsky Institute of Organic Chemistry, Russia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":609,"fairsharing_record_id":1730,"organisation_id":2472,"relation":"funds","created_at":"2021-09-30T09:24:37.807Z","updated_at":"2021-09-30T09:31:48.835Z","grant_id":1338,"is_lead":false,"saved_state":{"id":2472,"name":"Russian Federation President program, Russia","grant":"MK-1700.2005.4","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9323,"fairsharing_record_id":1730,"organisation_id":2474,"relation":"funds","created_at":"2022-04-11T12:07:30.377Z","updated_at":"2022-04-11T12:07:30.396Z","grant_id":1525,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"N05-07-90099","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaXNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d1b9b1cfd6b4cfb25c9e2afb7bad78c8bf7bdc4a/Screenshot%20from%202022-12-07%2013-13-16.png?disposition=inline","exhaustive_licences":false}},{"id":"1731","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-24T10:33:56.546Z","metadata":{"doi":"10.25504/FAIRsharing.mt6057","name":"CellFinder","status":"deprecated","contacts":[{"contact_name":"Andreas Kurtz","contact_email":"contact@cellfinder.de"}],"homepage":"http://cellfinder.org/","citations":[],"identifier":1731,"description":"CellFinder maps validated gene and protein expression, phenotype and images related to cell types.The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text.","abbreviation":"CellFinder","data_curation":{"type":"not found"},"support_links":[{"url":"http://cellfinder.de/contact","type":"Contact form"},{"url":"http://cellfinder.org/help/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.youtube.com/watch?v=14oGjsLsE0I","type":"Video"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://sbb.cellfinder.org","name":"semantic body browser"},{"url":"http://cellfinder.org/analysis/compare","name":"Compare Tool"},{"url":"http://cellfinder.org/analysis/marker","name":"Marker Tool"}],"deprecation_date":"2023-03-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000188","bsg-d000188"],"name":"FAIRsharing record for: CellFinder","abbreviation":"CellFinder","url":"https://fairsharing.org/10.25504/FAIRsharing.mt6057","doi":"10.25504/FAIRsharing.mt6057","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CellFinder maps validated gene and protein expression, phenotype and images related to cell types.The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12622}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Cell","Image","Curated information","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1397,"pubmed_id":23599415,"title":"Preliminary evaluation of the CellFinder literature curation pipeline for gene expression in kidney cells and anatomical parts.","year":2013,"url":"http://doi.org/10.1093/database/bat020","authors":"Neves M, Damaschun A, Mah N, Lekschas F, Seltmann S, Stachelscheid H, Fontaine JF, Kurtz A, Leser U.","journal":"Database","doi":"10.1093/database/bat020","created_at":"2021-09-30T08:24:56.185Z","updated_at":"2021-09-30T08:24:56.185Z"},{"id":1398,"pubmed_id":24304896,"title":"CellFinder: a cell data repository.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1264","authors":"Stachelscheid H,Seltmann S,Lekschas F,Fontaine JF,Mah N,Neves M,Andrade-Navarro MA,Leser U,Kurtz A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1264","created_at":"2021-09-30T08:24:56.290Z","updated_at":"2021-09-30T11:29:07.770Z"},{"id":1420,"pubmed_id":25344497,"title":"Semantic Body Browser: graphical exploration of an organism and spatially resolved expression data visualization.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu707","authors":"Lekschas F,Stachelscheid H,Seltmann S,Kurtz A","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu707","created_at":"2021-09-30T08:24:58.720Z","updated_at":"2021-09-30T08:24:58.720Z"}],"licence_links":[{"licence_name":"Cell Finder Copyright","licence_id":116,"licence_url":"http://cellfinder.de/contact/disclaimer/","link_id":169,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":170,"relation":"undefined"}],"grants":[{"id":615,"fairsharing_record_id":1731,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:38.022Z","updated_at":"2021-09-30T09:29:15.377Z","grant_id":161,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"LE 1428/3-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":614,"fairsharing_record_id":1731,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:37.984Z","updated_at":"2021-09-30T09:30:49.772Z","grant_id":890,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"334502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8230,"fairsharing_record_id":1731,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:31:39.065Z","updated_at":"2021-09-30T09:31:39.118Z","grant_id":1267,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"KU 851/3-1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1732","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:42:36.925Z","metadata":{"doi":"10.25504/FAIRsharing.fgj73t","name":"Monosaccharide Database","status":"deprecated","contacts":[{"contact_name":"Thomas Lutteke","contact_email":"Thomas.Luetteke@vetmed.uni-giessen.de"}],"homepage":"http://www.monosaccharidedb.org/","citations":[],"identifier":1732,"description":"Database on carbohydrate building blocks / residues (monosaccharides). Provides various kinds of residue data, especially notation information.","abbreviation":"MonosaccharideDB","data_curation":{},"support_links":[{"url":"https://groups.google.com/forum/#!forum/eurocarb-users","type":"Forum"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2024-03-20","deprecation_reason":"This resource is no longer available, however the owner has indicated it may become available again in future. Please get in touch if you have any information about this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000189","bsg-d000189"],"name":"FAIRsharing record for: Monosaccharide Database","abbreviation":"MonosaccharideDB","url":"https://fairsharing.org/10.25504/FAIRsharing.fgj73t","doi":"10.25504/FAIRsharing.fgj73t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database on carbohydrate building blocks / residues (monosaccharides). Provides various kinds of residue data, especially notation information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Carbohydrate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":616,"fairsharing_record_id":1732,"organisation_id":1618,"relation":"maintains","created_at":"2021-09-30T09:24:38.059Z","updated_at":"2021-09-30T09:24:38.059Z","grant_id":null,"is_lead":false,"saved_state":{"id":1618,"name":"Justus-Liebig University Giessen, Giessen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":617,"fairsharing_record_id":1732,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:24:38.101Z","updated_at":"2021-09-30T09:28:54.867Z","grant_id":13,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"011952","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11851,"fairsharing_record_id":1732,"organisation_id":1118,"relation":"maintains","created_at":"2024-06-27T12:38:48.830Z","updated_at":"2024-06-27T12:38:48.830Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1733","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-05-05T09:42:19.463Z","metadata":{"doi":"10.25504/FAIRsharing.tfvd5r","name":"Glycosciences.de DB","status":"deprecated","contacts":[{"contact_name":"Thomas Lutteke","contact_email":"thomas.luetteke@vetmed.uni-giessen.de","contact_orcid":"0000-0002-7140-9933"}],"homepage":"http://www.glycosciences.de/database/","citations":[],"identifier":1733,"description":"Glycan database with focus on carbohydrate 3D structures","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"not found","deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000190","bsg-d000190"],"name":"FAIRsharing record for: Glycosciences.de DB","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tfvd5r","doi":"10.25504/FAIRsharing.tfvd5r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Glycan database with focus on carbohydrate 3D structures","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Carbohydrate","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":161,"pubmed_id":16239495,"title":"GLYCOSCIENCES.de: an Internet portal to support glycomics and glycobiology research.","year":2005,"url":"http://doi.org/10.1093/glycob/cwj049","authors":"Lütteke T, Bohne-Lang A, Loss A, Goetz T, Frank M, von der Lieth CW.","journal":"Glycobiology","doi":"10.1093/glycob/cwj049","created_at":"2021-09-30T08:22:37.749Z","updated_at":"2021-09-30T08:22:37.749Z"}],"licence_links":[],"grants":[{"id":621,"fairsharing_record_id":1733,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:38.301Z","updated_at":"2021-09-30T09:24:38.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":620,"fairsharing_record_id":1733,"organisation_id":1618,"relation":"maintains","created_at":"2021-09-30T09:24:38.259Z","updated_at":"2021-09-30T09:24:38.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":1618,"name":"Justus-Liebig University Giessen, Giessen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1734","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:13.417Z","metadata":{"doi":"10.25504/FAIRsharing.bc23s","name":"GlycoProtDB","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"jcggdb-ml@aist.go.jp"}],"homepage":"https://acgg.asia/db/gpdb/","citations":[],"identifier":1734,"description":"GlycoProtDB is a glycoprotein database providing information of Asn (N)-glycosylated proteins and their glycosylated site(s), which were constructed by employing a bottom-up strategy using actual glycopeptide sequences identified by LC/MS-based glycoproteomic technologies. The database is searchable using gene ID, gene name, and its description (protein name) as query. Each data sheet of glycproteins is based on a single amino acid sequence in Wormpep database for C.elegans and NCBI Refseq database for mouse. The sheet presents actually detected N-glycosylation site(s) which are displayed each capturing methods of glycopeptide subset, e.g., lectins Concanavalin A, wheat germ agglutinin (WGA), or HILIC (hydrophilic interaction chromatography), as well as potential N-glycosylation sites (NX[STC], X≠P). Protein sequences, which have common glycopeptide sequence(s), are linked each other.","abbreviation":"GPDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://acgg.asia/db/gpdb/index?doc_no=7","name":"Data Information","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000191","bsg-d000191"],"name":"FAIRsharing record for: GlycoProtDB","abbreviation":"GPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bc23s","doi":"10.25504/FAIRsharing.bc23s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoProtDB is a glycoprotein database providing information of Asn (N)-glycosylated proteins and their glycosylated site(s), which were constructed by employing a bottom-up strategy using actual glycopeptide sequences identified by LC/MS-based glycoproteomic technologies. The database is searchable using gene ID, gene name, and its description (protein name) as query. Each data sheet of glycproteins is based on a single amino acid sequence in Wormpep database for C.elegans and NCBI Refseq database for mouse. The sheet presents actually detected N-glycosylation site(s) which are displayed each capturing methods of glycopeptide subset, e.g., lectins Concanavalin A, wheat germ agglutinin (WGA), or HILIC (hydrophilic interaction chromatography), as well as potential N-glycosylation sites (NX[STC], X≠P). Protein sequences, which have common glycopeptide sequence(s), are linked each other.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Glycomics"],"domains":["Mass spectrum","Chromatography","Protein"],"taxonomies":["Caenorhabditis elegans","Mus musculus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":199,"pubmed_id":22823882,"title":"Large-scale Identification of N-Glycosylated Proteins of Mouse Tissues and Construction of a Glycoprotein Database, GlycoProtDB","year":2012,"url":"http://doi.org/10.1021/pr300346c","authors":"Kaji H. et al","journal":"Journal of Proteome","doi":"10.1021/pr300346c","created_at":"2021-09-30T08:22:41.772Z","updated_at":"2021-09-30T08:22:41.772Z"}],"licence_links":[{"licence_name":"Attribution-NonCommercial-ShareAlike 2.1 Japan (CC BY-NC-SA 2.1 JP)","licence_id":887,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.1/jp/deed.en","link_id":2493,"relation":"applies_to_content"}],"grants":[{"id":624,"fairsharing_record_id":1734,"organisation_id":2147,"relation":"maintains","created_at":"2021-09-30T09:24:38.413Z","updated_at":"2021-09-30T09:24:38.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":2147,"name":"New Energy and Industrial Technology Development Organization","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":622,"fairsharing_record_id":1734,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:38.343Z","updated_at":"2021-09-30T09:24:38.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":623,"fairsharing_record_id":1734,"organisation_id":2007,"relation":"maintains","created_at":"2021-09-30T09:24:38.381Z","updated_at":"2021-09-30T09:24:38.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":625,"fairsharing_record_id":1734,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:24:38.468Z","updated_at":"2021-09-30T09:24:38.468Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1735","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:40:02.934Z","metadata":{"doi":"10.25504/FAIRsharing.d50fb5","name":"Encyclopedia of Hepatocellular Carcinome Genes Online II","status":"deprecated","contacts":[{"contact_email":"woody@iis.sinica.edu.tw"}],"homepage":"http://ehco.iis.sinica.edu.tw/","identifier":1735,"description":"The Encyclopedia of Hepatocellular Carcinoma genes Online, dubbed EHCO, was built to systematically collect, organize and compare the pileup of unsorted HCC-related studies by using natural language processing and softbots.","abbreviation":"EHCO II","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2015-09-01","deprecation_reason":"Database no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000192","bsg-d000192"],"name":"FAIRsharing record for: Encyclopedia of Hepatocellular Carcinome Genes Online II","abbreviation":"EHCO II","url":"https://fairsharing.org/10.25504/FAIRsharing.d50fb5","doi":"10.25504/FAIRsharing.d50fb5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Encyclopedia of Hepatocellular Carcinoma genes Online, dubbed EHCO, was built to systematically collect, organize and compare the pileup of unsorted HCC-related studies by using natural language processing and softbots.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Life Science"],"domains":["Expression data","Classification","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":2708,"pubmed_id":17326819,"title":"Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (Encyclopedia of Hepatocellular Carcinoma genes Online).","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-66","authors":"Hsu CN., Lai JM., Liu CH., Tseng HH., Lin CY., Lin KT., Yeh HH., Sung TY., Hsu WL., Su LJ., Lee SA., Chen CH., Lee GC., Lee DT., Shiue YL., Yeh CW., Chang CH., Kao CY., Huang CY.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-66","created_at":"2021-09-30T08:27:32.588Z","updated_at":"2021-09-30T08:27:32.588Z"}],"licence_links":[],"grants":[{"id":627,"fairsharing_record_id":1735,"organisation_id":16,"relation":"maintains","created_at":"2021-09-30T09:24:38.543Z","updated_at":"2021-09-30T09:24:38.543Z","grant_id":null,"is_lead":false,"saved_state":{"id":16,"name":"Academia Sinica, China","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":626,"fairsharing_record_id":1735,"organisation_id":1873,"relation":"funds","created_at":"2021-09-30T09:24:38.506Z","updated_at":"2021-09-30T09:30:47.107Z","grant_id":869,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC95-2320-B-400-009-MY3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1736","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:05.010Z","metadata":{"doi":"10.25504/FAIRsharing.jm8fzm","name":"Human Endogenous Retrovirus database","status":"ready","contacts":[{"contact_name":"Jan Pačes","contact_email":"hpaces@img.cas.cz","contact_orcid":"0000-0003-3059-6127"}],"homepage":"https://herv.img.cas.cz","citations":[],"identifier":1736,"description":"This database is compiled from the human genome nucleotide sequences obtained mostly in the Human Genome Projects. The database makes it possible to continuously improve classification and characterization of retroviral families. The HERV database now contains retroviruses from more than 90 % of the human genome.","abbreviation":"HERVd","data_curation":{"url":"https://herv.img.cas.cz/about","type":"manual"},"support_links":[{"url":"https://herv.img.cas.cz/about","name":"Contact","type":"Contact form"},{"url":"https://herv.img.cas.cz/help","name":"Help Pages","type":"Help documentation"},{"url":"https://herv.img.cas.cz/stats","name":"Statistics","type":"Help documentation"},{"url":"https://herv.img.cas.cz/about","name":"About the database","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"https://herv.img.cas.cz/selection_pressures","name":"Selection pressures"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000193","bsg-d000193"],"name":"FAIRsharing record for: Human Endogenous Retrovirus database","abbreviation":"HERVd","url":"https://fairsharing.org/10.25504/FAIRsharing.jm8fzm","doi":"10.25504/FAIRsharing.jm8fzm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is compiled from the human genome nucleotide sequences obtained mostly in the Human Genome Projects. The database makes it possible to continuously improve classification and characterization of retroviral families. The HERV database now contains retroviruses from more than 90 % of the human genome.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11328},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12159}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Deoxyribonucleic acid","Classification","Retrotransposon","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":248,"pubmed_id":11752294,"title":"HERVd: database of human endogenous retroviruses.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.205","authors":"Paces J., Pavlícek A., Paces V.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.205","created_at":"2021-09-30T08:22:46.822Z","updated_at":"2021-09-30T08:22:46.822Z"},{"id":270,"pubmed_id":14681356,"title":"HERVd: the Human Endogenous RetroViruses Database: update.","year":2003,"url":"http://doi.org/10.1093/nar/gkh075","authors":"Paces J., Pavlícek A., Zika R., Kapitonov VV., Jurka J., Paces V.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh075","created_at":"2021-09-30T08:22:49.165Z","updated_at":"2021-09-30T08:22:49.165Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1394,"relation":"undefined"}],"grants":[{"id":628,"fairsharing_record_id":1736,"organisation_id":1431,"relation":"maintains","created_at":"2021-09-30T09:24:38.584Z","updated_at":"2021-09-30T09:24:38.584Z","grant_id":null,"is_lead":true,"saved_state":{"id":1431,"name":"Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Czech Republic","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1741","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:44:58.215Z","metadata":{"doi":"10.25504/FAIRsharing.w2cepp","name":"Assembling the Fungal Tree of Life","status":"deprecated","contacts":[{"contact_name":"Joseph Spatafora","contact_email":"spatafoj@science.oregonstate.edu","contact_orcid":"0000-0002-7183-1384"}],"homepage":"http://aftol.org","citations":[],"identifier":1741,"description":"The Assembling the Fungal Tree of Life (AFTOL) project is dedicated to significantly enhancing our understanding of the evolution of the Kingdom Fungi, which represents one of the major clades of life.","abbreviation":"AFTOL","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://aftol.org/howtosubmit.php","name":"submit"},{"url":"http://wasabi.lutzonilab.net/pub/blast/blastUpload","name":"BLAST"},{"url":"http://aftol.org/howtosubmit.php","name":"submit"},{"url":"http://wasabi.lutzonilab.net/pub/blast/blastUpload","name":"BLAST"}],"deprecation_date":"2021-10-04","deprecation_reason":"AFTOL has been decommissioned. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000199","bsg-d000199"],"name":"FAIRsharing record for: Assembling the Fungal Tree of Life","abbreviation":"AFTOL","url":"https://fairsharing.org/10.25504/FAIRsharing.w2cepp","doi":"10.25504/FAIRsharing.w2cepp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Assembling the Fungal Tree of Life (AFTOL) project is dedicated to significantly enhancing our understanding of the evolution of the Kingdom Fungi, which represents one of the major clades of life.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Classification"],"taxonomies":["Fungi"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1581,"pubmed_id":17486962,"title":"Assembling the Fungal Tree of Life: constructing the structural and biochemical database.","year":2007,"url":"http://doi.org/10.3852/mycologia.98.6.850","authors":"Celio GJ,Padamsee M,Dentinger BT,Bauer R,McLaughlin DJ","journal":"Mycologia","doi":"10.3852/mycologia.98.6.850","created_at":"2021-09-30T08:25:17.236Z","updated_at":"2021-09-30T08:25:17.236Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":186,"relation":"undefined"}],"grants":[{"id":637,"fairsharing_record_id":1741,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:38.846Z","updated_at":"2021-09-30T09:24:38.846Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":638,"fairsharing_record_id":1741,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:38.869Z","updated_at":"2021-09-30T09:24:38.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1742","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:36:41.387Z","metadata":{"doi":"10.25504/FAIRsharing.kn4ycg","name":"AgBase","status":"deprecated","contacts":[{"contact_name":"Fiona M. McCarthy","contact_email":"fmccarthy@cvm.msstate.edu"}],"homepage":"http://www.agbase.msstate.edu/","identifier":1742,"description":"AgBase is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products.","abbreviation":"AgBase","data_curation":{"type":"not found"},"support_links":[{"url":"agbase@hpc.msstate.edu","type":"Support email"},{"url":"http://www.agbase.msstate.edu/cgi-bin/help/index.pl","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"http://www.agbase.msstate.edu/cgi-bin/generateBlastPage.pl","name":"BLAST"},{"url":"http://www.agbase.msstate.edu/cgi-bin/tools/index.cgi","name":"AgBase Tools"}],"deprecation_date":"2021-9-17","deprecation_reason":"AgBase became Host Pathogen Interaction Database, and therefore this record has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000200","bsg-d000200"],"name":"FAIRsharing record for: AgBase","abbreviation":"AgBase","url":"https://fairsharing.org/10.25504/FAIRsharing.kn4ycg","doi":"10.25504/FAIRsharing.kn4ycg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AgBase is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11616}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Agriculture","Life Science"],"domains":["Annotation","Animal research","Gene"],"taxonomies":["Metazoa","Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":256,"pubmed_id":21075795,"title":"AgBase: supporting functional modeling in agricultural organisms.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1115","authors":"McCarthy FM., Gresham CR., Buza TJ., Chouvarine P., Pillai LR., Kumar R., Ozkan S., Wang H., Manda P., Arick T., Bridges SM., Burgess SC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1115","created_at":"2021-09-30T08:22:47.624Z","updated_at":"2021-09-30T08:22:47.624Z"}],"licence_links":[],"grants":[{"id":641,"fairsharing_record_id":1742,"organisation_id":44,"relation":"funds","created_at":"2021-09-30T09:24:38.946Z","updated_at":"2021-09-30T09:29:44.234Z","grant_id":379,"is_lead":false,"saved_state":{"id":44,"name":"Agriculture and Food Research Initiative (AFRI), National Institute of Food and Agriculture, Washington, DC, USA","grant":"MISV-329140","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":642,"fairsharing_record_id":1742,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:38.969Z","updated_at":"2021-09-30T09:30:08.255Z","grant_id":567,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"MIS-241080","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":640,"fairsharing_record_id":1742,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:38.919Z","updated_at":"2021-09-30T09:32:24.078Z","grant_id":1603,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"07111084","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7993,"fairsharing_record_id":1742,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:30:17.627Z","updated_at":"2021-09-30T09:30:17.685Z","grant_id":641,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"6402-21000-033-01S","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8415,"fairsharing_record_id":1742,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:32:32.410Z","updated_at":"2021-09-30T09:32:32.465Z","grant_id":1666,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"MIS-069270","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1743","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:37.110Z","metadata":{"doi":"10.25504/FAIRsharing.1bnhyh","name":"Databases of Orthologous Promoters","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"doop@abc.hu"}],"homepage":"http://doop.abc.hu/","identifier":1743,"description":"DoOP is a database of eukaryotic promoter sequences (upstream regions), aiming to facilitate the recognition of regulatory sites conserved between species. Based on the Arabidopsis thaliana and Homo sapiens genome annotation, this resource is also a collection of the orthologous promoter sequences from Viridiplantae and Chordata species. The database can be used to find promoter clusters of different genes as well as positions of the conserved regions and transcription start sites, which can be viewed graphically.","abbreviation":"DoOP","data_curation":{"type":"not found"},"support_links":[{"url":"http://doop.abc.hu/creation.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://doop.abc.hu/creation.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000201","bsg-d000201"],"name":"FAIRsharing record for: Databases of Orthologous Promoters","abbreviation":"DoOP","url":"https://fairsharing.org/10.25504/FAIRsharing.1bnhyh","doi":"10.25504/FAIRsharing.1bnhyh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DoOP is a database of eukaryotic promoter sequences (upstream regions), aiming to facilitate the recognition of regulatory sites conserved between species. Based on the Arabidopsis thaliana and Homo sapiens genome annotation, this resource is also a collection of the orthologous promoter sequences from Viridiplantae and Chordata species. The database can be used to find promoter clusters of different genes as well as positions of the conserved regions and transcription start sites, which can be viewed graphically.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Promoter","Orthologous"],"taxonomies":["Arabidopsis thaliana","Chordata","Homo sapiens","Viridiplantae"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":289,"pubmed_id":15608291,"title":"DoOP: Databases of Orthologous Promoters, collections of clusters of orthologous upstream sequences from chordates and plants.","year":2004,"url":"http://doi.org/10.1093/nar/gki097","authors":"Barta E., Sebestyén E., Pálfy TB., Tóth G., Ortutay CP., Patthy L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki097","created_at":"2021-09-30T08:22:51.132Z","updated_at":"2021-09-30T08:22:51.132Z"},{"id":1582,"pubmed_id":19534755,"title":"DoOPSearch: a web-based tool for finding and analysing common conserved motifs in the promoter regions of different chordate and plant genes.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-S6-S6","authors":"Sebestyen E,Nagy T,Suhai S,Barta E","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-S6-S6","created_at":"2021-09-30T08:25:17.345Z","updated_at":"2021-09-30T08:25:17.345Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":200,"relation":"undefined"}],"grants":[{"id":646,"fairsharing_record_id":1743,"organisation_id":1286,"relation":"funds","created_at":"2021-09-30T09:24:39.084Z","updated_at":"2021-09-30T09:24:39.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":1286,"name":"Hungarian Ministry of Rural Development, Hungary","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":644,"fairsharing_record_id":1743,"organisation_id":40,"relation":"maintains","created_at":"2021-09-30T09:24:39.030Z","updated_at":"2021-09-30T09:24:39.030Z","grant_id":null,"is_lead":false,"saved_state":{"id":40,"name":"Agricultural Biotechnology Center, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":645,"fairsharing_record_id":1743,"organisation_id":1285,"relation":"funds","created_at":"2021-09-30T09:24:39.054Z","updated_at":"2021-09-30T09:24:39.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":1285,"name":"Hungarian Ministry of Agriculture, Hungary","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":647,"fairsharing_record_id":1743,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:24:39.126Z","updated_at":"2021-09-30T09:29:02.910Z","grant_id":71,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"NK72730","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8123,"fairsharing_record_id":1743,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:31:04.372Z","updated_at":"2021-09-30T09:31:04.429Z","grant_id":1003,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"NK60352","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1744","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:12.085Z","metadata":{"doi":"10.25504/FAIRsharing.6v2d2h","name":"The Arabidopsis Gene Regulatory Information Server","status":"ready","contacts":[{"contact_name":"Erich Grotewold","contact_email":"grotewold.agris@gmail.com"}],"homepage":"https://agris-knowledgebase.org/","citations":[],"identifier":1744,"description":"The Arabidopsis Gene Regulatory Information Server (AGRIS) is a information resource of Arabidopsis promoter sequences, transcription factors and their target genes. AGRIS currently contains two databases, AtcisDB (Arabidopsis thaliana cis-regulatory database) and AtTFDB (Arabidopsis thaliana transcription factor database). The two databases, used in tandem, provide a powerful tool for use in continuous research.","abbreviation":"AGRIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://agris-knowledgebase.org/AtcisDB/AtcisDBHelp.html","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000202","bsg-d000202"],"name":"FAIRsharing record for: The Arabidopsis Gene Regulatory Information Server","abbreviation":"AGRIS","url":"https://fairsharing.org/10.25504/FAIRsharing.6v2d2h","doi":"10.25504/FAIRsharing.6v2d2h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arabidopsis Gene Regulatory Information Server (AGRIS) is a information resource of Arabidopsis promoter sequences, transcription factors and their target genes. AGRIS currently contains two databases, AtcisDB (Arabidopsis thaliana cis-regulatory database) and AtTFDB (Arabidopsis thaliana transcription factor database). The two databases, used in tandem, provide a powerful tool for use in continuous research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany"],"domains":["Biological regulation","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1393,"pubmed_id":21059685,"title":"AGRIS: the Arabidopsis Gene Regulatory Information Server, an update.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1120","authors":"Yilmaz A., Mejia-Guerra MK., Kurz K., Liang X., Welch L., Grotewold E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1120","created_at":"2021-09-30T08:24:55.702Z","updated_at":"2021-09-30T08:24:55.702Z"}],"licence_links":[],"grants":[{"id":651,"fairsharing_record_id":1744,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:39.246Z","updated_at":"2021-09-30T09:32:30.395Z","grant_id":1651,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5 T32 CA106196-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":648,"fairsharing_record_id":1744,"organisation_id":2237,"relation":"maintains","created_at":"2021-09-30T09:24:39.165Z","updated_at":"2021-09-30T09:24:39.165Z","grant_id":null,"is_lead":false,"saved_state":{"id":2237,"name":"Ohio State University, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":650,"fairsharing_record_id":1744,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:39.220Z","updated_at":"2021-09-30T09:30:08.005Z","grant_id":565,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB-0418891","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1745","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T12:28:42.734Z","metadata":{"doi":"10.25504/FAIRsharing.efp5v2","name":"Animal Genome Size Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"database@genomesize.com"},{"contact_name":"T. Ryan Gregory","contact_email":"rgregory@uoguelph.ca","contact_orcid":"0000-0001-7900-7501"}],"homepage":"https://www.genomesize.com/","citations":[],"identifier":1745,"description":"A comprehensive catalogue of animal genome size data where haploid DNA contents (C-values, in picograms) are currently available for 4972 species (3231 vertebrates and 1741 non-vertebrates) based on 6518 records from 669 published sources.","abbreviation":"AGSD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.genomesize.com/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.genomesize.com/statistics.php","name":"Statistics","type":"Other"},{"url":"https://en.wikipedia.org/wiki/Animal_Genome_Size_Database","type":"Wikipedia"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012517","name":"re3data:r3d100012517","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007551","name":"SciCrunch:RRID:SCR_007551","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.genomesize.com/submit_data.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000203","bsg-d000203"],"name":"FAIRsharing record for: Animal Genome Size Database","abbreviation":"AGSD","url":"https://fairsharing.org/10.25504/FAIRsharing.efp5v2","doi":"10.25504/FAIRsharing.efp5v2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive catalogue of animal genome size data where haploid DNA contents (C-values, in picograms) are currently available for 4972 species (3231 vertebrates and 1741 non-vertebrates) based on 6518 records from 669 published sources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":607,"pubmed_id":17090588,"title":"Eukaryotic genome size databases","year":2006,"url":"http://doi.org/10.1093/nar/gkl828","authors":"Gregory TR, Nicol JA, Tamm H, Kullman B, Kullman K, Leitch IJ, Murray BG, Kapraun DF, Greilhuber J, Bennett MD.","journal":"Nucleic Acids Research 35 (Database issue): D332-D338.","doi":"10.1093/nar/gkl828","created_at":"2021-09-30T08:23:26.578Z","updated_at":"2021-09-30T08:23:26.578Z"}],"licence_links":[{"licence_name":"AGSD Academic use, No commercial use, no derivatives without permission","licence_id":21,"licence_url":"http://www.genomesize.com","link_id":2309,"relation":"undefined"}],"grants":[{"id":654,"fairsharing_record_id":1745,"organisation_id":3060,"relation":"maintains","created_at":"2021-09-30T09:24:39.325Z","updated_at":"2021-09-30T09:24:39.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":3060,"name":"University of Guelph","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":652,"fairsharing_record_id":1745,"organisation_id":229,"relation":"maintains","created_at":"2021-09-30T09:24:39.270Z","updated_at":"2024-04-17T10:54:32.192Z","grant_id":null,"is_lead":true,"saved_state":{"id":229,"name":"Biodiversity Institute of Ontario, University of Guelph, Guelph, ON, Canada","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1746","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-17T16:58:35.159Z","metadata":{"doi":"10.25504/FAIRsharing.w6cxgb","name":"Allergome","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"allergome@allergome.org"}],"homepage":"http://www.allergome.org/","citations":[],"identifier":1746,"description":"Allergome aims to supply information on Allergenic Molecules (Allergens) causing an IgE-mediated (allergic, atopic) disease (anaphylaxis, asthma, atopic dermatitis, conjunctivitis, rhinitis, urticaria). The resource is funded through the Allergen Data Laboratories via unrestricted grants from companies and institutions.","abbreviation":"Allergome","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.allergome.org/script/help.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"http://www.allergome.org/script/search_step1.php?clear=1","name":"search"},{"url":"http://www.allergome.org/script/search_advanced_step1.php?clear=1","name":"advanced search"},{"url":"http://www.allergome.org/script/tools.php?tool=blaster","name":"BLAST"},{"url":"http://www.allergome.org/script/search_step1.php?clear=1","name":"search"},{"url":"http://www.allergome.org/script/search_advanced_step1.php?clear=1","name":"advanced search"},{"url":"http://www.allergome.org/script/tools.php?tool=blaster","name":"BLAST"}],"data_access_condition":{"url":"http://www.allergome.org/script/tools.php","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000204","bsg-d000204"],"name":"FAIRsharing record for: Allergome","abbreviation":"Allergome","url":"https://fairsharing.org/10.25504/FAIRsharing.w6cxgb","doi":"10.25504/FAIRsharing.w6cxgb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Allergome aims to supply information on Allergenic Molecules (Allergens) causing an IgE-mediated (allergic, atopic) disease (anaphylaxis, asthma, atopic dermatitis, conjunctivitis, rhinitis, urticaria). The resource is funded through the Allergen Data Laboratories via unrestricted grants from companies and institutions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Medicine","Health Science","Life Science","Biomedical Science"],"domains":["Allergen","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":286,"pubmed_id":17393720,"title":"Allergome: a unifying platform.","year":2007,"url":"https://www.ncbi.nlm.nih.gov/pubmed/17393720","authors":"Mari A., Scala E.,","journal":"Arb Paul Ehrlich Inst Bundesamt Sera Impfstoffe Frankf A M","doi":null,"created_at":"2021-09-30T08:22:50.827Z","updated_at":"2021-09-30T08:22:50.827Z"},{"id":1583,"pubmed_id":17434469,"title":"Bioinformatics applied to allergy: allergen databases, from collecting sequence information to data integration. The Allergome platform as a model.","year":2007,"url":"http://doi.org/10.1016/j.cellimm.2007.02.012","authors":"Mari A,Scala E,Palazzo P,Ridolfi S,Zennaro D,Carabella G","journal":"Cell Immunol","doi":"10.1016/j.cellimm.2007.02.012","created_at":"2021-09-30T08:25:17.453Z","updated_at":"2021-09-30T08:25:17.453Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic (CC BY-NC-SA 2.5)","licence_id":181,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.5/","link_id":180,"relation":"undefined"}],"grants":[{"id":656,"fairsharing_record_id":1746,"organisation_id":63,"relation":"maintains","created_at":"2021-09-30T09:24:39.398Z","updated_at":"2021-09-30T09:24:39.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":63,"name":"Allergy Data Laboratories s.c., Italy","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1747","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:53.573Z","metadata":{"doi":"10.25504/FAIRsharing.5gjjsg","name":"Chemical Abstracts Service Registry","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"help@cas.org"}],"homepage":"https://www.cas.org/cas-data/cas-registry","citations":[],"identifier":1747,"description":"The CAS (Chemical Abstracts Service) Registry is the CAS substance collection, and is a division of the American Chemical Society and contains databases of chemical information. CAS Registry Numbers (often referred to as CAS RNs or CAS Numbers) are universally used to provide a unique, unmistakable identifier for chemical substances. A CAS Registry Number itself has no inherent chemical significance but provides an unambiguous way to identify a chemical substance or molecular structure when there are many possible systematic, generic, proprietary or trivial names.","abbreviation":"CAS Registry","data_curation":{"url":"https://www.cas.org/cas-data","type":"manual","notes":"The CAS Content Collection is the largest human-curated collection of scientific data in the world."},"support_links":[{"url":"https://www.cas.org/contact","type":"Contact form"},{"url":"https://www.cas.org/about/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.cas.org/training/scifinder","type":"Training documentation"},{"url":"http://www.cas.org/training/stn","type":"Training documentation"},{"url":"https://twitter.com/CASChemistry","type":"Twitter"}],"year_creation":1956,"data_versioning":"not found","data_access_condition":{"url":"https://www.cas.org/about/faqs","type":"partially open","notes":"There are some databases that are open but others are not open."},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cas.org/about/faqs","type":"controlled","notes":"Our selection team of chemists determines whether a journal meets our editorial criteria for abstracting and indexing in the CAS databases."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000205","bsg-d000205"],"name":"FAIRsharing record for: Chemical Abstracts Service Registry","abbreviation":"CAS Registry","url":"https://fairsharing.org/10.25504/FAIRsharing.5gjjsg","doi":"10.25504/FAIRsharing.5gjjsg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CAS (Chemical Abstracts Service) Registry is the CAS substance collection, and is a division of the American Chemical Society and contains databases of chemical information. CAS Registry Numbers (often referred to as CAS RNs or CAS Numbers) are universally used to provide a unique, unmistakable identifier for chemical substances. A CAS Registry Number itself has no inherent chemical significance but provides an unambiguous way to identify a chemical substance or molecular structure when there are many possible systematic, generic, proprietary or trivial names.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11768}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry"],"domains":["Molecular structure","Chemical entity","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"CAS Information Use Policies","licence_id":103,"licence_url":"http://www.cas.org/legal/infopolicy","link_id":181,"relation":"undefined"}],"grants":[{"id":657,"fairsharing_record_id":1747,"organisation_id":73,"relation":"maintains","created_at":"2021-09-30T09:24:39.421Z","updated_at":"2023-04-26T11:03:20.606Z","grant_id":null,"is_lead":true,"saved_state":{"id":73,"name":"American Chemical Society, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1748","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:05.625Z","metadata":{"doi":"10.25504/FAIRsharing.jp89d1","name":"Evolutionary Annotation Database","status":"deprecated","contacts":[],"homepage":"http://www.h-invitational.jp/evola/search.html","citations":[],"identifier":1748,"description":"Evola contains ortholog information of all human genes among vertebrates. Orthologs are a pair of genes in different species that evolved from a common ancestral gene by speciation. In Evola, orthologs were detected by comparative genomics and amino acid sequence analysis (Computational analysis).","abbreviation":"Evola","data_curation":{"url":"http://www.h-invitational.jp/hinv/help/help_Evola.html","type":"manual/automated","notes":"Manual curation and computational analysis"},"support_links":[{"url":"hinvdb@ml.u-tokai.ac.jp","type":"Support email"},{"url":"http://www.h-invitational.jp/hinv/help/contents6/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.h-invitational.jp/hinv/help/help_Evola.html","name":"Help","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000206","bsg-d000206"],"name":"FAIRsharing record for: Evolutionary Annotation Database","abbreviation":"Evola","url":"https://fairsharing.org/10.25504/FAIRsharing.jp89d1","doi":"10.25504/FAIRsharing.jp89d1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Evola contains ortholog information of all human genes among vertebrates. Orthologs are a pair of genes in different species that evolved from a common ancestral gene by speciation. In Evola, orthologs were detected by comparative genomics and amino acid sequence analysis (Computational analysis).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12623}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science","Comparative Genomics"],"domains":["Amino acid sequence","Orthologous","Genome"],"taxonomies":["Homo sapiens","Vertebrata"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":275,"pubmed_id":17982176,"title":"Evola: Ortholog database of all human genes in H-InvDB with manual curation of phylogenetic trees.","year":2007,"url":"http://doi.org/10.1093/nar/gkm878","authors":"Matsuya A., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm878","created_at":"2021-09-30T08:22:49.716Z","updated_at":"2021-09-30T08:22:49.716Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":11,"relation":"undefined"}],"grants":[{"id":658,"fairsharing_record_id":1748,"organisation_id":266,"relation":"maintains","created_at":"2021-09-30T09:24:39.452Z","updated_at":"2021-09-30T09:24:39.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":266,"name":"Biomedical Informatics Laboratory, Department of Molecular Life Science, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1754","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:10:22.274Z","metadata":{"doi":"10.25504/FAIRsharing.pcmg8s","name":"Mammalian Protein Localization Database","status":"deprecated","contacts":[{"contact_name":"Rohan Teasdale","contact_email":"r.teasdale@imb.uq.edu.au","contact_orcid":"0000-0001-7455-5269"}],"homepage":"http://locate.imb.uq.edu.au/","identifier":1754,"description":"LOCATE is a curated database that houses data describing the membrane organization and subcellular localization of proteins from the RIKEN FANTOM4 mouse and human protein sequence set.","abbreviation":"LOCATE","data_curation":{"type":"not found"},"support_links":[{"url":"http://locate.imb.uq.edu.au/faq.shtml","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://locate.imb.uq.edu.au/advsearch.shtml","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000212","bsg-d000212"],"name":"FAIRsharing record for: Mammalian Protein Localization Database","abbreviation":"LOCATE","url":"https://fairsharing.org/10.25504/FAIRsharing.pcmg8s","doi":"10.25504/FAIRsharing.pcmg8s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LOCATE is a curated database that houses data describing the membrane organization and subcellular localization of proteins from the RIKEN FANTOM4 mouse and human protein sequence set.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Curated information","Protein"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":281,"pubmed_id":17986452,"title":"LOCATE: a mammalian protein subcellular localization database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm950","authors":"Sprenger J., Lynn Fink J., Karunaratne S., Hanson K., Hamilton NA., Teasdale RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm950","created_at":"2021-09-30T08:22:50.281Z","updated_at":"2021-09-30T08:22:50.281Z"},{"id":282,"pubmed_id":16381849,"title":"LOCATE: a mouse protein subcellular localization database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj069","authors":"Fink JL., Aturaliya RN., Davis MJ., Zhang F., Hanson K., Teasdale MS., Kai C., Kawai J., Carninci P., Hayashizaki Y., Teasdale RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj069","created_at":"2021-09-30T08:22:50.416Z","updated_at":"2021-09-30T08:22:50.416Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":187,"relation":"undefined"}],"grants":[{"id":675,"fairsharing_record_id":1754,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:24:39.965Z","updated_at":"2021-09-30T09:24:39.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1755","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:04.868Z","metadata":{"doi":"10.25504/FAIRsharing.77d397","name":"Functional Coverage of the Proteome","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"cgl@imim.es"}],"homepage":"http://cgl.imim.es/fcp/","identifier":1755,"description":"FCP is a publicly accessible web tool dedicated to analysing the current state and trends on the population of available structures along the classification schemes of enzymes and nuclear receptors, offering both graphical and quantitative data on the degree of functional coverage in that portion of the proteome by existing structures, as well as on the bias observed in the distribution of those structures among proteins.","abbreviation":"FCP","data_curation":{"type":"not found"},"support_links":[{"url":"http://cgl.imim.es/fcp/help/fullHelp.htm","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000213","bsg-d000213"],"name":"FAIRsharing record for: Functional Coverage of the Proteome","abbreviation":"FCP","url":"https://fairsharing.org/10.25504/FAIRsharing.77d397","doi":"10.25504/FAIRsharing.77d397","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FCP is a publicly accessible web tool dedicated to analysing the current state and trends on the population of available structures along the classification schemes of enzymes and nuclear receptors, offering both graphical and quantitative data on the degree of functional coverage in that portion of the proteome by existing structures, as well as on the bias observed in the distribution of those structures among proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Annotation","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":550,"pubmed_id":16705012,"title":"FCP: functional coverage of the proteome by structures.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl188","authors":"García-Serna R., Opatowski L., Mestres J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl188","created_at":"2021-09-30T08:23:20.043Z","updated_at":"2021-09-30T08:23:20.043Z"}],"licence_links":[],"grants":[{"id":676,"fairsharing_record_id":1755,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:24:39.993Z","updated_at":"2021-09-30T09:30:00.770Z","grant_id":512,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"02/3051","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":677,"fairsharing_record_id":1755,"organisation_id":166,"relation":"maintains","created_at":"2021-09-30T09:24:40.026Z","updated_at":"2021-09-30T09:24:40.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":166,"name":"Barcelona Biomedical Research Park, Barcelona, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1756","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:01:42.914Z","metadata":{"doi":"10.25504/FAIRsharing.ff7n4h","name":"Drosophila polymorphism database","status":"deprecated","contacts":[{"contact_name":"Sònia Casillas","contact_email":"sonia.casillas@uab.cat","contact_orcid":"0000-0001-8191-0062"}],"homepage":"http://dpdb.uab.es/dpdb/dpdb.asp","citations":[],"identifier":1756,"description":"Drosophila Polymorphism Database, is a secondary database designed to provide a collection of all the existing polymorphic sequences in the Drosophila genus. It allows, for the first time, the search for any polymorphic set according to different parameter values of nucleotide diversity.","abbreviation":"DPD","data_curation":{"type":"manual","notes":"Presence of curators"},"support_links":[{"url":"http://dpdb.uab.es/dpdb/help.asp","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://dpdb.uab.es/dpdb/blast.asp","name":"BLAST"}],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000214","bsg-d000214"],"name":"FAIRsharing record for: Drosophila polymorphism database","abbreviation":"DPD","url":"https://fairsharing.org/10.25504/FAIRsharing.ff7n4h","doi":"10.25504/FAIRsharing.ff7n4h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Drosophila Polymorphism Database, is a secondary database designed to provide a collection of all the existing polymorphic sequences in the Drosophila genus. It allows, for the first time, the search for any polymorphic set according to different parameter values of nucleotide diversity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism","Genome"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":283,"pubmed_id":16204116,"title":"DPDB: a database for the storage, representation and analysis of polymorphism in the Drosophila genus.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti1103","authors":"Casillas S., Petit N., Barbadilla A.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti1103","created_at":"2021-09-30T08:22:50.518Z","updated_at":"2021-09-30T08:22:50.518Z"},{"id":1600,"pubmed_id":18820438,"title":"Drosophila polymorphism database (DPDB): a portal for nucleotide polymorphism in Drosophila.","year":2008,"url":"http://doi.org/10.4161/fly.5043","authors":"Casillas S,Egea R,Petit N,Bergman CM,Barbadilla A","journal":"Fly (Austin)","doi":"10.4161/fly.5043","created_at":"2021-09-30T08:25:19.386Z","updated_at":"2021-09-30T08:25:19.386Z"}],"licence_links":[],"grants":[{"id":678,"fairsharing_record_id":1756,"organisation_id":168,"relation":"maintains","created_at":"2021-09-30T09:24:40.056Z","updated_at":"2021-09-30T09:24:40.056Z","grant_id":null,"is_lead":false,"saved_state":{"id":168,"name":"Barcelona University, Barcelona, Spain","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":679,"fairsharing_record_id":1756,"organisation_id":1851,"relation":"funds","created_at":"2021-09-30T09:24:40.086Z","updated_at":"2021-09-30T09:29:36.519Z","grant_id":323,"is_lead":false,"saved_state":{"id":1851,"name":"Ministerio de Ciencia y Tecnologia, Buenos Aires, Argentina","grant":"PB98- 0900-C02-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7907,"fairsharing_record_id":1756,"organisation_id":1851,"relation":"funds","created_at":"2021-09-30T09:29:37.883Z","updated_at":"2021-09-30T09:29:37.932Z","grant_id":334,"is_lead":false,"saved_state":{"id":1851,"name":"Ministerio de Ciencia y Tecnologia, Buenos Aires, Argentina","grant":"BES-2003-0416","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8320,"fairsharing_record_id":1756,"organisation_id":1851,"relation":"funds","created_at":"2021-09-30T09:32:04.119Z","updated_at":"2021-09-30T09:32:04.178Z","grant_id":1453,"is_lead":false,"saved_state":{"id":1851,"name":"Ministerio de Ciencia y Tecnologia, Buenos Aires, Argentina","grant":"BMC2002-01708","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1757","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-07T10:07:27.763Z","metadata":{"doi":"10.25504/FAIRsharing.4eanvm","name":"Evolutionary Trace","status":"ready","contacts":[{"contact_name":"Olivier Lichtarge","contact_email":"lichtarge@bcm.tmc.edu"}],"homepage":"http://evolution.lichtargelab.org/ETviewer","citations":[],"identifier":1757,"description":"Relative evolutionary importance of amino acids within a protein sequence.","abbreviation":null,"data_curation":{"type":"none"},"support_links":[{"url":"http://evolution.lichtargelab.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mammoth.bcm.tmc.edu/traceview/HelpDocs/ETViewerManual_2.pdf","type":"Help documentation"}],"year_creation":1995,"data_versioning":"no","associated_tools":[{"url":"http://evolution.lichtargelab.org/pyetv","name":"ET Pymol plugin"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000215","bsg-d000215"],"name":"FAIRsharing record for: Evolutionary Trace","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4eanvm","doi":"10.25504/FAIRsharing.4eanvm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Relative evolutionary importance of amino acids within a protein sequence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Evolution","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":280,"pubmed_id":22183528,"title":"Evolutionary trace for prediction and redesign of protein functional sites.","year":2011,"url":"http://doi.org/10.1007/978-1-61779-465-0_3","authors":"Wilkins A., Erdin S., Lua R., Lichtarge O.,","journal":"Methods Mol. Biol.","doi":"10.1007/978-1-61779-465-0_3","created_at":"2021-09-30T08:22:50.191Z","updated_at":"2021-09-30T08:22:50.191Z"}],"licence_links":[],"grants":[{"id":680,"fairsharing_record_id":1757,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:24:40.128Z","updated_at":"2021-09-30T09:24:40.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":681,"fairsharing_record_id":1757,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:40.170Z","updated_at":"2021-09-30T09:29:50.945Z","grant_id":433,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"CCF-0905536","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":682,"fairsharing_record_id":1757,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:40.211Z","updated_at":"2021-09-30T09:29:27.437Z","grant_id":258,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NIH-GM066099","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8080,"fairsharing_record_id":1757,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:49.103Z","updated_at":"2021-09-30T09:30:49.155Z","grant_id":885,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM079656","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1758","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:55.049Z","metadata":{"doi":"10.25504/FAIRsharing.6e05x2","name":"Gene Disruption Project Database","status":"ready","contacts":[{"contact_name":"Karen Schulze","contact_email":"kschulze@bcm.edu"}],"homepage":"http://flypush.imgen.bcm.tmc.edu/pscreen/","identifier":1758,"description":"The GDP Database provides a public resource of gene disruptions of Drosophila genes using a single transposable element.","abbreviation":"GDP Database","data_curation":{"type":"manual","notes":"Information was curated by group of researchers from Carnegie Institution for Science and Spradling lab."},"support_links":[{"url":"http://flypush.imgen.bcm.tmc.edu/pscreen/about.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled","notes":"The web database and strain requests are being handled by Guang Lin in the Bellen lab."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000216","bsg-d000216"],"name":"FAIRsharing record for: Gene Disruption Project Database","abbreviation":"GDP Database","url":"https://fairsharing.org/10.25504/FAIRsharing.6e05x2","doi":"10.25504/FAIRsharing.6e05x2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GDP Database provides a public resource of gene disruptions of Drosophila genes using a single transposable element.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Transposable element","Gene"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":325,"pubmed_id":15238527,"title":"The BDGP gene disruption project: single transposon insertions associated with 40% of Drosophila genes.","year":2004,"url":"http://doi.org/10.1534/genetics.104.026427","authors":"Bellen HJ., Levis RW., Liao G., He Y., Carlson JW., Tsang G., Evans-Holm M., Hiesinger PR., Schulze KL., Rubin GM., Hoskins RA., Spradling AC.,","journal":"Genetics","doi":"10.1534/genetics.104.026427","created_at":"2021-09-30T08:22:54.890Z","updated_at":"2021-09-30T08:22:54.890Z"},{"id":349,"pubmed_id":21515576,"title":"The Drosophila gene disruption project: progress using transposons with distinctive site specificities.","year":2011,"url":"http://doi.org/10.1534/genetics.111.126995","authors":"Bellen HJ,Levis RW,He Y,Carlson JW,Evans-Holm M,Bae E,Kim J,Metaxakis A,Savakis C,Schulze KL,Hoskins RA,Spradling AC","journal":"Genetics","doi":"10.1534/genetics.111.126995","created_at":"2021-09-30T08:22:57.574Z","updated_at":"2021-09-30T08:22:57.574Z"},{"id":373,"pubmed_id":21985007,"title":"MiMIC: a highly versatile transposon insertion resource for engineering Drosophila melanogaster genes.","year":2011,"url":"http://doi.org/10.1038/nmeth.1662","authors":"Venken KJ,Schulze KL,Haelterman NA,Pan H,He Y,Evans-Holm M,Carlson JW,Levis RW,Spradling AC,Hoskins RA,Bellen HJ","journal":"Nat Methods","doi":"10.1038/nmeth.1662","created_at":"2021-09-30T08:23:00.100Z","updated_at":"2021-09-30T08:23:00.100Z"},{"id":376,"pubmed_id":25824290,"title":"A library of MiMICs allows tagging of genes and reversible, spatial and temporal knockdown of proteins in Drosophila.","year":2015,"url":"http://doi.org/10.7554/eLife.05338","authors":"Nagarkar-Jaiswal S,Lee PT,Campbell ME,Chen K,Anguiano-Zarate S,Gutierrez MC,Busby T,Lin WW,He Y,Schulze KL,Booth BW,Evans-Holm M,Venken KJ,Levis RW,Spradling AC,Hoskins RA,Bellen HJ","journal":"Elife","doi":"10.7554/eLife.05338","created_at":"2021-09-30T08:23:00.409Z","updated_at":"2021-09-30T08:23:00.409Z"},{"id":400,"pubmed_id":26102525,"title":"A genetic toolkit for tagging intronic MiMIC containing genes.","year":2015,"url":"http://doi.org/10.7554/eLife.08469","authors":"Nagarkar-Jaiswal S,DeLuca SZ,Lee PT,Lin WW,Pan H,Zuo Z,Lv J,Spradling AC,Bellen HJ","journal":"Elife","doi":"10.7554/eLife.08469","created_at":"2021-09-30T08:23:03.481Z","updated_at":"2021-09-30T08:23:03.481Z"}],"licence_links":[],"grants":[{"id":683,"fairsharing_record_id":1758,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:40.252Z","updated_at":"2021-09-30T09:31:12.268Z","grant_id":1062,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"2R01 GM067858","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":685,"fairsharing_record_id":1758,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:24:40.328Z","updated_at":"2021-09-30T09:24:40.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":684,"fairsharing_record_id":1758,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:40.291Z","updated_at":"2021-09-30T09:29:15.618Z","grant_id":163,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM067858","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1759","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:32:48.492Z","metadata":{"doi":"10.25504/FAIRsharing.svkzq3","name":"Non-Redundant B.subtilis database","status":"deprecated","contacts":[{"contact_email":"perriere@biomserv.univ-lyon1.fr"}],"homepage":"http://pbil.univ-lyon1.fr/nrsub/nrsub.html","citations":[],"identifier":1759,"description":"This server allows to access the complete genome of Bacillus subtilis. Additional data on gene mapping and codon usage have been added, as well as cross-references with the SWISS-PROT, ENZYME and HOBACGEN databases.","abbreviation":"NRSub","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://pbil.univ-lyon1.fr/search/query_fam.php","name":"search"},{"url":"http://pbil.univ-lyon1.fr/search/query_fam.php","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000217","bsg-d000217"],"name":"FAIRsharing record for: Non-Redundant B.subtilis database","abbreviation":"NRSub","url":"https://fairsharing.org/10.25504/FAIRsharing.svkzq3","doi":"10.25504/FAIRsharing.svkzq3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This server allows to access the complete genome of Bacillus subtilis. Additional data on gene mapping and codon usage have been added, as well as cross-references with the SWISS-PROT, ENZYME and HOBACGEN databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Gene","Genome"],"taxonomies":["Bacillus subtilis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":273,"pubmed_id":9399801,"title":"The non-redundant Bacillus subtilis (NRSub) database: update 1998.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.60","authors":"Perrière G., Gouy M., Gojobori T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/26.1.60","created_at":"2021-09-30T08:22:49.524Z","updated_at":"2021-09-30T08:22:49.524Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1749","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:56.416Z","metadata":{"doi":"10.25504/FAIRsharing.yk38tw","name":"AntWeb","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"antweb@calacademy.org"}],"homepage":"http://www.antweb.org","identifier":1749,"description":"AntWeb is a website documenting the known species of ants, with records for each species linked to their geographical distribution, life history, and includes pictures.","abbreviation":"AntWeb","data_curation":{"url":"https://www.antweb.org/curators.do?sortBy=specimenUploadCount","type":"manual"},"support_links":[{"url":"http://www.antweb.org/antblog/","type":"Blog/News"},{"url":"http://www.antweb.org/user_guide.jsp","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.antweb.org/documentation.do","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000207","bsg-d000207"],"name":"FAIRsharing record for: AntWeb","abbreviation":"AntWeb","url":"https://fairsharing.org/10.25504/FAIRsharing.yk38tw","doi":"10.25504/FAIRsharing.yk38tw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AntWeb is a website documenting the known species of ants, with records for each species linked to their geographical distribution, life history, and includes pictures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Life Science"],"domains":["Image","Classification"],"taxonomies":["Formicidae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":294,"pubmed_id":12867945,"title":"Ants join online colony to boost conservation efforts.","year":2003,"url":"http://doi.org/10.1038/424242b","authors":"Dalton R.,","journal":"Nature","doi":"10.1038/424242b","created_at":"2021-09-30T08:22:51.642Z","updated_at":"2021-09-30T08:22:51.642Z"}],"licence_links":[{"licence_name":"California Academy of Sciences Terms and Conditions of Use","licence_id":90,"licence_url":"https://www.calacademy.org/terms-of-use","link_id":184,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":336,"relation":"undefined"}],"grants":[{"id":659,"fairsharing_record_id":1749,"organisation_id":338,"relation":"maintains","created_at":"2021-09-30T09:24:39.494Z","updated_at":"2021-09-30T09:24:39.494Z","grant_id":null,"is_lead":false,"saved_state":{"id":338,"name":"California Academy of Sciences, San Francisco, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8141,"fairsharing_record_id":1749,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:10.247Z","updated_at":"2021-09-30T09:31:10.306Z","grant_id":1050,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EF-0431330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8291,"fairsharing_record_id":1749,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:55.999Z","updated_at":"2021-09-30T09:31:56.057Z","grant_id":1393,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-0842395","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":660,"fairsharing_record_id":1749,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:39.533Z","updated_at":"2021-09-30T09:29:20.528Z","grant_id":203,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-034473","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1750","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:22:26.932Z","metadata":{"doi":"10.25504/FAIRsharing.qqc7zw","name":"DNASU Plasmid Repository","status":"ready","contacts":[{"contact_name":"Joshua LaBaer","contact_email":"jlabaer@asu.edu","contact_orcid":"0000-0001-5788-9697"}],"homepage":"http://dnasu.org/DNASU/Home.do","identifier":1750,"description":"DNASU is a central repository for plasmid clones and collections. Currently we store and distribute over 197,000 plasmids including 75,000 human and mouse plasmids, full genome collections, the protein expression plasmids from the Protein Structure Initiative as the PSI: Biology Material Repository (PSI : Biology-MR), and both small and large collections from individual researchers. We are also a founding member and distributor of the ORFeome Collaboration plasmid collection.","abbreviation":null,"data_curation":{"url":"https://dnasu.org/DNASU/Submission.jsp","type":"manual"},"support_links":[{"url":"dnasuhelp@asu.edu","type":"Support email"},{"url":"http://dnasu.org/DNASU/FAQ.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/DNASUPlasmids","type":"Twitter"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"http://dnasu.org/DNASU/SearchOptions.do?tab=4","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012354","name":"re3data:r3d100012354","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012185","name":"SciCrunch:RRID:SCR_012185","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dnasu.org/DNASU/Submission.jsp","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000208","bsg-d000208"],"name":"FAIRsharing record for: DNASU Plasmid Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qqc7zw","doi":"10.25504/FAIRsharing.qqc7zw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DNASU is a central repository for plasmid clones and collections. Currently we store and distribute over 197,000 plasmids including 75,000 human and mouse plasmids, full genome collections, the protein expression plasmids from the Protein Structure Initiative as the PSI: Biology Material Repository (PSI : Biology-MR), and both small and large collections from individual researchers. We are also a founding member and distributor of the ORFeome Collaboration plasmid collection.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Clone library","Deoxyribonucleic acid","Plasmid","Genome"],"taxonomies":["Archaea","Bacteria","Eukaryota","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":277,"pubmed_id":21360289,"title":"PSI:Biology-materials repository: a biologist's resource for protein expression plasmids.","year":2011,"url":"http://doi.org/10.1007/s10969-011-9100-8","authors":"Cormier CY., Park JG., Fiacco M., Steel J., Hunter P., Kramer J., Singla R., LaBaer J.,","journal":"J. Struct. Funct. Genomics","doi":"10.1007/s10969-011-9100-8","created_at":"2021-09-30T08:22:49.898Z","updated_at":"2021-09-30T08:22:49.898Z"},{"id":598,"pubmed_id":19906724,"title":"Protein Structure Initiative Material Repository: an open shared public resource of structural genomics plasmids for the biological community.","year":2009,"url":"http://doi.org/10.1093/nar/gkp999","authors":"Cormier CY, Mohr SE, Zuo D, Hu Y, Rolfs A, Kramer J, Taycher E, Kelley F, Fiacco M, Turnbull G, LaBaer J.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp999","created_at":"2021-09-30T08:23:25.582Z","updated_at":"2021-09-30T11:28:47.973Z"}],"licence_links":[],"grants":[{"id":665,"fairsharing_record_id":1750,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:39.704Z","updated_at":"2021-09-30T09:29:51.155Z","grant_id":435,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5P30 CA06516-06","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":661,"fairsharing_record_id":1750,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:24:39.571Z","updated_at":"2021-09-30T09:24:39.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":664,"fairsharing_record_id":1750,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:24:39.669Z","updated_at":"2021-09-30T09:24:39.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":663,"fairsharing_record_id":1750,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:39.627Z","updated_at":"2021-09-30T09:30:00.419Z","grant_id":509,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN2332200400053C/N01-A1-40053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":662,"fairsharing_record_id":1750,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:39.596Z","updated_at":"2021-09-30T09:30:01.563Z","grant_id":519,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U01 GM079617","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1751","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-21T09:58:52.988Z","metadata":{"doi":"10.25504/FAIRsharing.fqcrpt","name":"Telomerase Database","status":"ready","contacts":[{"contact_name":"Julian J-L Chen","contact_email":"JLChen@asu.edu","contact_orcid":"0000-0002-7253-2722"}],"homepage":"http://telomerase.asu.edu","citations":[{"doi":"10.1093/nar/gkm700","pubmed_id":18073191,"publication_id":287}],"identifier":1751,"description":"The Telomerase Database is a Web-based tool for the study of structure, function, and evolution of the telomerase ribonucleoprotein. The objective of this database is to serve the research community by providing a comprehensive compilation of information known about telomerase enzyme and its substrate, telomeres.","abbreviation":null,"data_curation":{"type":"manual/automated","notes":"A standard nomenclature is used throughout the online database for consistency and clarity."},"support_links":[{"url":"http://telomerase.asu.edu/overview.html","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","data_access_condition":{"type":"open","notes":"Available information on the component, the RNA or amino acid sequence, the genbank accession number, and a link to the record at the NCBI."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000209","bsg-d000209"],"name":"FAIRsharing record for: Telomerase Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fqcrpt","doi":"10.25504/FAIRsharing.fqcrpt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Telomerase Database is a Web-based tool for the study of structure, function, and evolution of the telomerase ribonucleoprotein. The objective of this database is to serve the research community by providing a comprehensive compilation of information known about telomerase enzyme and its substrate, telomeres.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Small molecule","Enzyme","Disease","Structure","Protein"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":287,"pubmed_id":18073191,"title":"The telomerase database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm700","authors":"Podlevsky JD., Bley CJ., Omana RV., Qi X., Chen JJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm700","created_at":"2021-09-30T08:22:50.933Z","updated_at":"2021-09-30T08:22:50.933Z"}],"licence_links":[],"grants":[{"id":667,"fairsharing_record_id":1751,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:24:39.754Z","updated_at":"2023-09-20T15:32:35.139Z","grant_id":null,"is_lead":true,"saved_state":{"id":114,"name":"Arizona State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":666,"fairsharing_record_id":1751,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:39.730Z","updated_at":"2021-09-30T09:32:25.055Z","grant_id":1610,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"MCB0642857","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1737","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-06T08:15:16.451Z","metadata":{"doi":"10.25504/FAIRsharing.2h8cxh","name":"autoSNPdb","status":"deprecated","contacts":[{"contact_name":"David Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://autosnpdb.appliedbioinformatics.com.au","citations":[],"identifier":1737,"description":"Implemented the SNP discovery software autoSNP within a relational database to enable the efficient mining of the identified polymorphisms and the detailed interrogation of the data. AutoSNP was selected because it does not require sequence trace files and is thus applicable to a broader range of species and datasets.","abbreviation":"autoSNPdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://autosnpdb.appliedbioinformatics.com.au/faq.htm","type":"Frequently Asked Questions (FAQs)"},{"url":"http://autosnpdb.appliedbioinformatics.com.au/help.htm","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://autosnpdb.appliedbioinformatics.com.au/BLASTsearch.jsp?species=barley","name":"BLAST"}],"deprecation_date":"2023-04-05","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000194","bsg-d000194"],"name":"FAIRsharing record for: autoSNPdb","abbreviation":"autoSNPdb","url":"https://fairsharing.org/10.25504/FAIRsharing.2h8cxh","doi":"10.25504/FAIRsharing.2h8cxh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Implemented the SNP discovery software autoSNP within a relational database to enable the efficient mining of the identified polymorphisms and the detailed interrogation of the data. AutoSNP was selected because it does not require sequence trace files and is thus applicable to a broader range of species and datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Single nucleotide polymorphism","Gene"],"taxonomies":["Brassica","Hordeum vulgare","Oryza sativa","Triticum"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":255,"pubmed_id":18854357,"title":"AutoSNPdb: an annotated single nucleotide polymorphism database for crop plants.","year":2008,"url":"http://doi.org/10.1093/nar/gkn650","authors":"Duran C., Appleby N., Clark T., Wood D., Imelfort M., Batley J., Edwards D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn650","created_at":"2021-09-30T08:22:47.531Z","updated_at":"2021-09-30T08:22:47.531Z"}],"licence_links":[{"licence_name":"autoSNPdb Acknowledgements, Requirements and Disclaimer","licence_id":51,"licence_url":"http://autosnpdb.appliedbioinformatics.com.au/ackDis.html","link_id":173,"relation":"undefined"}],"grants":[{"id":629,"fairsharing_record_id":1737,"organisation_id":137,"relation":"maintains","created_at":"2021-09-30T09:24:38.628Z","updated_at":"2021-09-30T09:24:38.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":137,"name":"Australian Centre For Plant Functional Genomics (ACPFG), Australia","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1738","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:37.008Z","metadata":{"doi":"10.25504/FAIRsharing.8hcczk","name":"Addgene","status":"ready","contacts":[{"contact_name":"General Contact Email","contact_email":"info@addgene.org"}],"homepage":"http://www.addgene.org/","identifier":1738,"description":"Addgene is a non-profit plasmid repository dedicated to helping scientists around the world share high-quality plasmids. Addgene are working with thousands of laboratories to assemble a high-quality library of published plasmids for use in research and discovery. By linking plasmids with articles, scientists can always find data related to the materials they request.","abbreviation":"Addgene","data_curation":{"url":"https://blog.addgene.org/how-to-deposit-your-plasmids-with-addgene?_gl=1*3zcwc9*_ga*MTk3NDU5ODQ2NC4xNjk4OTIwNTEz*_ga_5SC3L963MZ*MTY5ODkyMDUxMi4xLjEuMTY5ODkyMDc1NC4xOS4wLjA.","type":"manual","notes":"All received plasmids undergo a quality control process to verify their key features."},"support_links":[{"url":"https://blog.addgene.org/","name":"Addgene blog","type":"Blog/News"},{"url":"https://www.addgene.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"help@addgene.org","name":"Help Email","type":"Support email"},{"url":"https://help.addgene.org/hc/en-us","name":"Help Center","type":"Help documentation"},{"url":"https://www.addgene.org/ordering/","name":"Ordering Help","type":"Help documentation"},{"url":"https://twitter.com/Addgene","name":"@Addgene","type":"Twitter"}],"year_creation":2004,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010741","name":"re3data:r3d100010741","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002037","name":"SciCrunch:RRID:SCR_002037","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://blog.addgene.org/how-to-deposit-your-plasmids-with-addgene?_gl=1*3zcwc9*_ga*MTk3NDU5ODQ2NC4xNjk4OTIwNTEz*_ga_5SC3L963MZ*MTY5ODkyMDUxMi4xLjEuMTY5ODkyMDc1NC4xOS4wLjA.","type":"open","notes":"Free login is required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000196","bsg-d000196"],"name":"FAIRsharing record for: Addgene","abbreviation":"Addgene","url":"https://fairsharing.org/10.25504/FAIRsharing.8hcczk","doi":"10.25504/FAIRsharing.8hcczk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Addgene is a non-profit plasmid repository dedicated to helping scientists around the world share high-quality plasmids. Addgene are working with thousands of laboratories to assemble a high-quality library of published plasmids for use in research and discovery. By linking plasmids with articles, scientists can always find data related to the materials they request.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10935},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11288}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bibliography","Deoxyribonucleic acid","Plasmid"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom","United States"],"publications":[{"id":269,"pubmed_id":22491276,"title":"Addgene provides an open forum for plasmid sharing.","year":2012,"url":"http://doi.org/10.1038/nbt.2177","authors":"Herscovitch M., Perkins E., Baltus A., Fan M.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt.2177","created_at":"2021-09-30T08:22:49.066Z","updated_at":"2021-09-30T08:22:49.066Z"},{"id":667,"pubmed_id":null,"title":"Repositories share key research tools","year":2014,"url":"http://doi.org/10.1038/505272a","authors":"Monya Baker","journal":"Nature","doi":"10.1038/505272a","created_at":"2021-09-30T08:23:33.618Z","updated_at":"2021-09-30T08:23:33.618Z"},{"id":673,"pubmed_id":null,"title":"Sharing Made Easy","year":2012,"url":"https://www.the-scientist.com/bio-business/sharing-made-easy-40517","authors":"Megan Scudellari","journal":"The Scientist","doi":null,"created_at":"2021-09-30T08:23:34.235Z","updated_at":"2021-09-30T11:28:29.929Z"},{"id":926,"pubmed_id":25392412,"title":"The Addgene repository: an international nonprofit plasmid and data resource","year":2014,"url":"http://doi.org/10.1093/nar/gku893","authors":"Joanne Kamens","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku893","created_at":"2021-09-30T08:24:02.406Z","updated_at":"2021-09-30T08:24:02.406Z"}],"licence_links":[{"licence_name":"Addgene Technology Transfer agreement","licence_id":7,"licence_url":"http://www.addgene.org/techtransfer/","link_id":823,"relation":"undefined"},{"licence_name":"Addgene Terms of Use","licence_id":8,"licence_url":"https://www.addgene.org/terms-of-use/","link_id":838,"relation":"undefined"}],"grants":[{"id":630,"fairsharing_record_id":1738,"organisation_id":23,"relation":"maintains","created_at":"2021-09-30T09:24:38.659Z","updated_at":"2021-09-30T09:24:38.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":23,"name":"Addgene","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":631,"fairsharing_record_id":1738,"organisation_id":23,"relation":"funds","created_at":"2021-09-30T09:24:38.695Z","updated_at":"2021-09-30T09:24:38.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":23,"name":"Addgene","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1739","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:03.044Z","metadata":{"doi":"10.25504/FAIRsharing.zzgvrv","name":"RNAJunction","status":"ready","contacts":[{"contact_name":"Bruce Shapiro","contact_email":"bshapiro@ncifcrf.gov"},{"contact_name":"Voytek Kasprzak","contact_email":"kasprzaw@mail.nih.gov","contact_orcid":null}],"homepage":"https://rnastructure.cancer.gov/rnajunction/","citations":[],"identifier":1739,"description":"RNAJunction is a database of RNA junctions and kissing loop structures. It contains structure and sequence information for RNA structural elements such as helical junctions, internal loops, bulges and loop–loop interactions. It allows searching by PDB code, structural classification, sequence, keyword or inter-helix angles. RNAJunction is designed to aid analysis of RNA structures as well as design of novel RNA structures on a nanoscale. ","abbreviation":"RNAJunction","data_curation":{"type":"manual"},"support_links":[{"url":"https://rnastructure.cancer.gov/rnajunction/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://rnastructure.cancer.gov/rnajunction/help.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{"name":"No information found"},"data_contact_information":"yes","data_preservation_policy":{"name":"No information found"},"data_deposition_condition":{"type":"controlled","notes":"Data have been gathered and extracted by one group of researchers and uploaded to this site for use by others."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000197","bsg-d000197"],"name":"FAIRsharing record for: RNAJunction","abbreviation":"RNAJunction","url":"https://fairsharing.org/10.25504/FAIRsharing.zzgvrv","doi":"10.25504/FAIRsharing.zzgvrv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAJunction is a database of RNA junctions and kissing loop structures. It contains structure and sequence information for RNA structural elements such as helical junctions, internal loops, bulges and loop–loop interactions. It allows searching by PDB code, structural classification, sequence, keyword or inter-helix angles. RNAJunction is designed to aid analysis of RNA structures as well as design of novel RNA structures on a nanoscale. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Ribonucleic acid","Structure","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":299,"pubmed_id":17947325,"title":"RNAJunction: a database of RNA junctions and kissing loops for three-dimensional structural analysis and nanodesign.","year":2007,"url":"http://doi.org/10.1093/nar/gkm842","authors":"Bindewald E., Hayes R., Yingling YG., Kasprzak W., Shapiro BA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm842","created_at":"2021-09-30T08:22:52.216Z","updated_at":"2021-09-30T08:22:52.216Z"}],"licence_links":[],"grants":[{"id":633,"fairsharing_record_id":1739,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:24:38.746Z","updated_at":"2021-09-30T09:24:38.746Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9388,"fairsharing_record_id":1739,"organisation_id":1955,"relation":"maintains","created_at":"2022-04-11T12:07:35.033Z","updated_at":"2022-04-11T12:07:35.033Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1740","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:07.031Z","metadata":{"doi":"10.25504/FAIRsharing.2sqcxs","name":"Nottingham Arabidopsis Stock Centre Seeds Database","status":"ready","contacts":[{"contact_name":"Sean May","contact_email":"sean@arabidopsis.org.uk","contact_orcid":"0000-0001-5282-3250"}],"homepage":"http://arabidopsis.info","identifier":1740,"description":"The Nottingham Arabidopsis Stock Centre (NASC) provides seed and information resources to the International Arabidopsis Genome Programme and the wider research community.","abbreviation":"NASC","data_curation":{"type":"manual"},"support_links":[{"url":"http://arabidopsis.info/InfoPages?template=ask_a_question;web_section=germplasm","type":"Contact form"},{"url":"bioinfo@arabidopsis.org.uk","type":"Support email"},{"url":"http://arabidopsis.info/InfoPages?template=orderfaq;web_section=germplasm","type":"Frequently Asked Questions (FAQs)"},{"url":"http://arabidopsis.info/InfoPages?template=help","type":"Help documentation"},{"url":"https://twitter.com/NascArabidopsis","type":"Twitter"}],"year_creation":1991,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010906","name":"re3data:r3d100010906","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004576","name":"SciCrunch:RRID:SCR_004576","portal":"SciCrunch"}],"data_access_condition":{"url":"https://arabidopsis.info/InfoPages?template=about_nasc;web_section=arabidopsis","type":"open","notes":"Catalog of seeds can be purchased"},"data_contact_information":"no","data_deposition_condition":{"url":"https://arabidopsis.info/InfoPages?template=donation_info;web_section=germplasm","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000198","bsg-d000198"],"name":"FAIRsharing record for: Nottingham Arabidopsis Stock Centre Seeds Database","abbreviation":"NASC","url":"https://fairsharing.org/10.25504/FAIRsharing.2sqcxs","doi":"10.25504/FAIRsharing.2sqcxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nottingham Arabidopsis Stock Centre (NASC) provides seed and information resources to the International Arabidopsis Genome Programme and the wider research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Insertion sequence","Genome"],"taxonomies":["Arabidopsis thaliana","Brassica"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":257,"pubmed_id":14681484,"title":"NASCArrays: a repository for microarray data generated by NASC's transcriptomics service.","year":2003,"url":"http://doi.org/10.1093/nar/gkh133","authors":"Craigon DJ., James N., Okyere J., Higgins J., Jotham J., May S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh133","created_at":"2021-09-30T08:22:47.782Z","updated_at":"2021-09-30T08:22:47.782Z"}],"licence_links":[],"grants":[{"id":634,"fairsharing_record_id":1740,"organisation_id":2848,"relation":"undefined","created_at":"2021-09-30T09:24:38.769Z","updated_at":"2021-09-30T09:24:38.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":2848,"name":"The University of Nottingham, UK","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":635,"fairsharing_record_id":1740,"organisation_id":2193,"relation":"maintains","created_at":"2021-09-30T09:24:38.796Z","updated_at":"2021-09-30T09:24:38.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":2193,"name":"Nottingham Arabidopsis Stock Centre (NASC), Loughborough, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":636,"fairsharing_record_id":1740,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:38.819Z","updated_at":"2021-09-30T09:29:07.952Z","grant_id":107,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L010100/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1722","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:27.861Z","metadata":{"doi":"10.25504/FAIRsharing.f5xs6m","name":"BloodSpot","status":"ready","contacts":[{"contact_name":"Nicolas Rapin","contact_email":"nicolas.rapin@finsenlab.dk"}],"homepage":"http://www.bloodspot.eu","identifier":1722,"description":"BloodSpot is a database of mRNA expression in healthy and malignant haematopoiesis and includes data from both humans and mice. The core function of BloodSpot is to provide an expression plot of genes in healthy and cancerous haematopoietic cells at specific differentiation stages. In addition to the default plot, that displays an integrated expression plot, two additional levels of visualization are available; an interactive tree showing the hierarchical relationship between the samples, and a Kaplan-Meier survival plot. Prior to BloodSpot, this service was provided by an earlier project, HemaExplorer, also by the same research group. HemaExplorer was updated to the BloodSpot platform, which all users are encouraged to use instead.","abbreviation":"BloodSpot","data_curation":{"url":"https://www.bloodspot.eu/","type":"automated"},"support_links":[{"url":"http://servers.binf.ku.dk/bloodspot/php/help.php","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000179","bsg-d000179"],"name":"FAIRsharing record for: BloodSpot","abbreviation":"BloodSpot","url":"https://fairsharing.org/10.25504/FAIRsharing.f5xs6m","doi":"10.25504/FAIRsharing.f5xs6m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BloodSpot is a database of mRNA expression in healthy and malignant haematopoiesis and includes data from both humans and mice. The core function of BloodSpot is to provide an expression plot of genes in healthy and cancerous haematopoietic cells at specific differentiation stages. In addition to the default plot, that displays an integrated expression plot, two additional levels of visualization are available; an interactive tree showing the hierarchical relationship between the samples, and a Kaplan-Meier survival plot. Prior to BloodSpot, this service was provided by an earlier project, HemaExplorer, also by the same research group. HemaExplorer was updated to the BloodSpot platform, which all users are encouraged to use instead.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12620}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Developmental Biology","Life Science"],"domains":["Expression data","Cancer","Hematopoiesis","Messenger RNA","Gene","Blood"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":36,"pubmed_id":26507857,"title":"BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1101","authors":"Bagger FO,Sasivarevic D,Sohi SH,Laursen LG,Pundhir S,Sonderby CK,Winther O,Rapin N,Porse BT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1101","created_at":"2021-09-30T08:22:24.177Z","updated_at":"2021-09-30T11:28:41.666Z"},{"id":564,"pubmed_id":22745298,"title":"HemaExplorer: a Web server for easy and fast visualization of gene expression in normal and malignant hematopoiesis.","year":2012,"url":"http://doi.org/10.1182/blood-2012-05-427310","authors":"Bagger FO,Rapin N,Theilgaard-Monch K,Kaczkowski B,Jendholm J,Winther O,Porse B","journal":"Blood","doi":"10.1182/blood-2012-05-427310","created_at":"2021-09-30T08:23:21.676Z","updated_at":"2021-09-30T08:23:21.676Z"},{"id":593,"pubmed_id":23143109,"title":"HemaExplorer: a database of mRNA expression profiles in normal and malignant haematopoiesis.","year":2012,"url":"http://doi.org/10.1093/nar/gks1021","authors":"Bagger FO,Rapin N,Theilgaard-Monch K,Kaczkowski B,Thoren LA,Jendholm J,Winther O,Porse BT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1021","created_at":"2021-09-30T08:23:25.066Z","updated_at":"2021-09-30T11:28:47.825Z"}],"licence_links":[],"grants":[{"id":583,"fairsharing_record_id":1722,"organisation_id":2197,"relation":"funds","created_at":"2021-09-30T09:24:36.954Z","updated_at":"2021-09-30T09:24:36.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":2197,"name":"Novo Nordisk Foundation, Denmark","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":581,"fairsharing_record_id":1722,"organisation_id":241,"relation":"maintains","created_at":"2021-09-30T09:24:36.900Z","updated_at":"2021-09-30T09:24:36.900Z","grant_id":null,"is_lead":false,"saved_state":{"id":241,"name":"Bioinformatics Centre, University of Copenhagen, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":584,"fairsharing_record_id":1722,"organisation_id":640,"relation":"maintains","created_at":"2021-09-30T09:24:36.985Z","updated_at":"2021-09-30T09:24:36.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":640,"name":"Danish State Hospital, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":585,"fairsharing_record_id":1722,"organisation_id":1015,"relation":"maintains","created_at":"2021-09-30T09:24:37.019Z","updated_at":"2021-09-30T09:24:37.019Z","grant_id":null,"is_lead":false,"saved_state":{"id":1015,"name":"Finsen Laboratory, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":586,"fairsharing_record_id":1722,"organisation_id":279,"relation":"maintains","created_at":"2021-09-30T09:24:37.042Z","updated_at":"2021-09-30T09:24:37.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":279,"name":"Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":582,"fairsharing_record_id":1722,"organisation_id":639,"relation":"funds","created_at":"2021-09-30T09:24:36.926Z","updated_at":"2021-09-30T09:28:59.534Z","grant_id":45,"is_lead":false,"saved_state":{"id":639,"name":"Danish Research Council for Strategic Research, Denmark","grant":"09-065157","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8399,"fairsharing_record_id":1722,"organisation_id":639,"relation":"funds","created_at":"2021-09-30T09:32:27.676Z","updated_at":"2021-09-30T09:32:27.729Z","grant_id":1630,"is_lead":false,"saved_state":{"id":639,"name":"Danish Research Council for Strategic Research, Denmark","grant":"10-092798","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1723","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:20.577Z","metadata":{"doi":"10.25504/FAIRsharing.8t18te","name":"Cell Image Library","status":"ready","contacts":[{"contact_name":"David Orloff","contact_email":"dorloff@ncmir.ucsd.edu"}],"homepage":"http://www.cellimagelibrary.org","citations":[],"identifier":1723,"description":"This library is a public and easily accessible resource database of images, videos, and animations of cells, capturing a wide diversity of organisms, cell types, and cellular processes. The purpose of this database is to advance research on cellular activity, with the ultimate goal of improving human health. It is a repository for images, movies, and animations of cells from a variety of organisms that demonstrate cellular architecture and functions. This comprehensive library is designed as a public resource first and foremost for research, and secondarily as a tool for education. The long-term goal is the construction of a library of images that will serve as primary data for research.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cellimagelibrary.org/pages/help#faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.cellimagelibrary.org/pages/help","name":"Help Pages","type":"Help documentation"},{"url":"http://www.cellimagelibrary.org/pages/about","name":"http://www.cellimagelibrary.org/pages/about","type":"Help documentation"},{"url":"https://twitter.com/CellImageLibrar","name":"@CellImageLibrar","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000023","name":"re3data:r3d100000023","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003510","name":"SciCrunch:RRID:SCR_003510","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.cellimagelibrary.org/pages/contribute","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000180","bsg-d000180"],"name":"FAIRsharing record for: Cell Image Library","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8t18te","doi":"10.25504/FAIRsharing.8t18te","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This library is a public and easily accessible resource database of images, videos, and animations of cells, capturing a wide diversity of organisms, cell types, and cellular processes. The purpose of this database is to advance research on cellular activity, with the ultimate goal of improving human health. It is a repository for images, movies, and animations of cells from a variety of organisms that demonstrate cellular architecture and functions. This comprehensive library is designed as a public resource first and foremost for research, and secondarily as a tool for education. The long-term goal is the construction of a library of images that will serve as primary data for research.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10764},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11219},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11327}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Cell Biology"],"domains":["Cell","Microscopy","Light microscopy","Electron microscopy","Video","Super-resolution microscopy","Animation","Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":232,"pubmed_id":23203874,"title":"The cell: an image library-CCDB: a curated repository of microscopy data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1257","authors":"Orloff DN, Iwasa JH, Martone ME, Ellisman MH, Kane CM.","journal":"Nucleic Acids Res (Database issue)","doi":"10.1093/nar/gks1257","created_at":"2021-09-30T08:22:45.040Z","updated_at":"2021-09-30T08:22:45.040Z"}],"licence_links":[{"licence_name":"Cell Image Library Data Policies and disclaimer","licence_id":117,"licence_url":"http://www.cellimagelibrary.org/pages/license","link_id":970,"relation":"undefined"}],"grants":[{"id":588,"fairsharing_record_id":1723,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:37.102Z","updated_at":"2021-09-30T09:30:08.986Z","grant_id":573,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"RC2GM092708","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10018,"fairsharing_record_id":1723,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.932Z","updated_at":"2022-10-13T09:43:38.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":589,"fairsharing_record_id":1723,"organisation_id":84,"relation":"maintains","created_at":"2021-09-30T09:24:37.127Z","updated_at":"2021-09-30T09:24:37.127Z","grant_id":null,"is_lead":false,"saved_state":{"id":84,"name":"American Society for Cell Biology (ASCB), USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":587,"fairsharing_record_id":1723,"organisation_id":438,"relation":"maintains","created_at":"2021-09-30T09:24:37.073Z","updated_at":"2021-09-30T09:24:37.073Z","grant_id":null,"is_lead":true,"saved_state":{"id":438,"name":"Center for Research in Biological Systems, La Jolla, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1724","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:14:54.820Z","metadata":{"doi":"10.25504/FAIRsharing.ezp87","name":"mycoCLAP","status":"deprecated","contacts":[{"contact_name":"Adrian Tsang","contact_email":"adrian.tsang@concordia.ca"}],"homepage":"http://mycoCLAP.fungalgenomics.ca","citations":[],"identifier":1724,"description":"mycoCLAP is a searchable resource for the knowledge and annotation of Characterized Lignocellulose-Active Proteins of fungal origin.","abbreviation":"mycoCLAP","data_curation":{"type":"not found"},"support_links":[{"url":"mycoclap@concordia.ca","type":"Support email"},{"url":"https://mycoclap.fungalgenomics.ca/mycoCLAP/clap/Help","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://blast.fungalgenomics.ca/blast_mycoclap.html","name":"BLAST"}],"deprecation_date":"2021-12-02","deprecation_reason":"This resource is obsolete, and has been subsumed into CLAE. Please use CLAE instead (https://beta.fairsharing.org/3652). For more information, see https://clae.fungalgenomics.ca/.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000181","bsg-d000181"],"name":"FAIRsharing record for: mycoCLAP","abbreviation":"mycoCLAP","url":"https://fairsharing.org/10.25504/FAIRsharing.ezp87","doi":"10.25504/FAIRsharing.ezp87","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mycoCLAP is a searchable resource for the knowledge and annotation of Characterized Lignocellulose-Active Proteins of fungal origin.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme","Protein","Gene"],"taxonomies":["Fungi"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":234,"pubmed_id":21622642,"title":"Curation of characterized glycoside hydrolases of Fungal origin","year":2011,"url":"http://doi.org/10.1093/database/bar020","authors":"Caitlin Murphy, Justin Powlowski, Min Wu, Greg Butler and Adrian Tsang","journal":"Database","doi":"10.1093/database/bar020","created_at":"2021-09-30T08:22:45.273Z","updated_at":"2021-09-30T08:22:45.273Z"}],"licence_links":[{"licence_name":"Terms and conditions stated by Concordia University","licence_id":778,"licence_url":"http://graduatestudies.concordia.ca/legalnotice.php","link_id":166,"relation":"undefined"}],"grants":[{"id":592,"fairsharing_record_id":1724,"organisation_id":1111,"relation":"funds","created_at":"2021-09-30T09:24:37.219Z","updated_at":"2021-09-30T09:24:37.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":590,"fairsharing_record_id":1724,"organisation_id":2101,"relation":"funds","created_at":"2021-09-30T09:24:37.154Z","updated_at":"2021-09-30T09:24:37.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":591,"fairsharing_record_id":1724,"organisation_id":1113,"relation":"funds","created_at":"2021-09-30T09:24:37.185Z","updated_at":"2021-09-30T09:24:37.185Z","grant_id":null,"is_lead":false,"saved_state":{"id":1113,"name":"Genome Quebec, Quebec, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":593,"fairsharing_record_id":1724,"organisation_id":470,"relation":"maintains","created_at":"2021-09-30T09:24:37.242Z","updated_at":"2021-09-30T09:24:37.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":470,"name":"Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1727","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:47.826Z","metadata":{"doi":"10.25504/FAIRsharing.veg2d6","name":"FlowRepository","status":"ready","contacts":[{"contact_name":"Ryan Brinkman","contact_email":"rbrinkman@bccrc.ca","contact_orcid":"0000-0002-9765-2990"}],"homepage":"http://www.flowrepository.org","citations":[{"doi":"10.1002/cyto.a.22106","pubmed_id":22887982,"publication_id":1205}],"identifier":1727,"description":"FlowRepository is a database of flow cytometry experiments where you can query and download data collected and annotated according to the MIFlowCyt standard. Data are generally associated with peer reviewed manuscripts.","abbreviation":"FlowRepository","data_curation":{"type":"not found"},"support_links":[{"url":"http://flowrepository.org/support_ticket","name":"Contact Support","type":"Contact form"},{"url":"http://flowrepository.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://flowrepository.org/quick_start_guide","name":"Quick Start Guide","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011280","name":"re3data:r3d100011280","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013779","name":"SciCrunch:RRID:SCR_013779","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://flowrepository.org/quick_start_guide#SubmittingData","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000184","bsg-d000184"],"name":"FAIRsharing record for: FlowRepository","abbreviation":"FlowRepository","url":"https://fairsharing.org/10.25504/FAIRsharing.veg2d6","doi":"10.25504/FAIRsharing.veg2d6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FlowRepository is a database of flow cytometry experiments where you can query and download data collected and annotated according to the MIFlowCyt standard. Data are generally associated with peer reviewed manuscripts.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10934}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Cell Biology","Biology"],"domains":["Cell","Cellular assay","Flow cytometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1205,"pubmed_id":22887982,"title":"FlowRepository: a resource of annotated flow cytometry datasets associated with peer-reviewed publications","year":2012,"url":"http://doi.org/10.1002/cyto.a.22106","authors":"Spidlen J, Breuer K, Rosenberg C, Kotecha N, Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.22106","created_at":"2021-09-30T08:24:34.317Z","updated_at":"2021-09-30T08:24:34.317Z"},{"id":1230,"pubmed_id":22752950,"title":"Preparing a Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) compliant manuscript using the International Society for Advancement of Cytometry (ISAC) FCS file repository (FlowRepository.org).","year":2012,"url":"http://doi.org/10.1002/0471142956.cy1018s61","authors":"Spidlen J,Breuer K,Brinkman R","journal":"Curr Protoc Cytom","doi":"10.1002/0471142956.cy1018s61","created_at":"2021-09-30T08:24:37.200Z","updated_at":"2021-09-30T08:24:37.200Z"}],"licence_links":[{"licence_name":"FlowRepository Privacy Policy","licence_id":317,"licence_url":"http://flowrepository.org/privacy_policy","link_id":1583,"relation":"undefined"},{"licence_name":"FLOW Repository Terms of Use","licence_id":318,"licence_url":"http://flowrepository.org/terms_of_service","link_id":1582,"relation":"undefined"}],"grants":[{"id":603,"fairsharing_record_id":1727,"organisation_id":3218,"relation":"funds","created_at":"2021-09-30T09:24:37.578Z","updated_at":"2021-09-30T09:24:37.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":3218,"name":"Wallace H Coulter Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":601,"fairsharing_record_id":1727,"organisation_id":1515,"relation":"funds","created_at":"2021-09-30T09:24:37.528Z","updated_at":"2021-09-30T09:24:37.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":1515,"name":"International Society for Advancement of Cytometry (ISAC)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":602,"fairsharing_record_id":1727,"organisation_id":2732,"relation":"maintains","created_at":"2021-09-30T09:24:37.553Z","updated_at":"2021-09-30T09:24:37.553Z","grant_id":null,"is_lead":true,"saved_state":{"id":2732,"name":"Terry Fox Laboratory, BC Cancer Agency, Vancouver, British Columbia, Canada","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1728","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:08.563Z","metadata":{"doi":"10.25504/FAIRsharing.ncr75x","name":"wiki-pain","status":"deprecated","contacts":[{"contact_name":"Daniel Jamieson","contact_email":"dan.jamieson@manchester.ac.uk","contact_orcid":"0000-0002-7121-0406"}],"homepage":"http://wiki-pain.org/vhosts/wikipaints/mediawiki-1.19.1/index.php/Main_Page","identifier":1728,"description":"wiki-pain.org is a wiki containing molecular interactions that are relevant to pain. Each molecular interaction is shown in relation to pain, disease, mutations, anatomy and a summary of its mentions throughout the literature is provided.","abbreviation":"wiki-pain","data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://www.biocontext.org","name":"biocontext 1"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000185","bsg-d000185"],"name":"FAIRsharing record for: wiki-pain","abbreviation":"wiki-pain","url":"https://fairsharing.org/10.25504/FAIRsharing.ncr75x","doi":"10.25504/FAIRsharing.ncr75x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: wiki-pain.org is a wiki containing molecular interactions that are relevant to pain. Each molecular interaction is shown in relation to pain, disease, mutations, anatomy and a summary of its mentions throughout the literature is provided.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Text mining","Molecular interaction","Pain"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":260,"pubmed_id":23707966,"title":"Cataloging the biomedical world of pain through semi-automated curation of molecular interactions","year":2013,"url":"http://doi.org/10.1093/database/bat033","authors":"Daniel G. Jamieson, Phoebe M. Roberts, David L. Robertson, Ben Sidders and Goran Nenadic","journal":"Database","doi":"10.1093/database/bat033","created_at":"2021-09-30T08:22:48.091Z","updated_at":"2021-09-30T08:22:48.091Z"}],"licence_links":[],"grants":[{"id":604,"fairsharing_record_id":1728,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:24:37.609Z","updated_at":"2021-09-30T09:24:37.609Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":605,"fairsharing_record_id":1728,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:37.651Z","updated_at":"2021-09-30T09:29:36.054Z","grant_id":319,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/H016694/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1729","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:24.392Z","metadata":{"doi":"10.25504/FAIRsharing.jykmkw","name":"Golm Metabolome Database","status":"ready","contacts":[{"contact_name":"Jan Hummel","contact_email":"hummel@mpimp-golm.mpg.de"}],"homepage":"http://gmd.mpimp-golm.mpg.de/","citations":[],"identifier":1729,"description":"The Golm Metabolome Database (GMD) provides gas chromatography (GC) mass spectrometry (MS) reference spectra, reference metabolite profiles and tools for one of the most widespread routine technologies applied to the large scale screening and discovery of novel metabolic biomarkers.","abbreviation":"GMD","data_curation":{"type":"manual"},"support_links":[{"url":"http://gmd.mpimp-golm.mpg.de/blog.aspx","type":"Blog/News"},{"url":"http://gmd.mpimp-golm.mpg.de/help.aspx","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011046","name":"re3data:r3d100011046","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006625","name":"SciCrunch:RRID:SCR_006625","portal":"SciCrunch"}],"data_access_condition":{"url":"http://gmd.mpimp-golm.mpg.de/termsconditions.aspx","type":"open","notes":"Access to the online contents and services of the GMD is granted to all users without any limitations pursuant to the regulations stipulated below."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000186","bsg-d000186"],"name":"FAIRsharing record for: Golm Metabolome Database","abbreviation":"GMD","url":"https://fairsharing.org/10.25504/FAIRsharing.jykmkw","doi":"10.25504/FAIRsharing.jykmkw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Golm Metabolome Database (GMD) provides gas chromatography (GC) mass spectrometry (MS) reference spectra, reference metabolite profiles and tools for one of the most widespread routine technologies applied to the large scale screening and discovery of novel metabolic biomarkers.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20026}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Mass spectrum","Gas chromatography","Mass spectrometry assay"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1330,"pubmed_id":20526350,"title":"Decision tree supported substructure prediction of metabolites from GC-MS profiles","year":2010,"url":"http://doi.org/10.1007/s11306-010-0198-7","authors":"Hummel, J., Strehmel, N., Selbig, J., Walther, D. and Kopka, J.","journal":"Metabolomics","doi":"doi:10.1007/s11306-010-0198-7","created_at":"2021-09-30T08:24:48.877Z","updated_at":"2021-09-30T08:24:48.877Z"}],"licence_links":[{"licence_name":"GMD Custom Terms and Conditions","licence_id":351,"licence_url":"http://gmd.mpimp-golm.mpg.de/termsconditions.aspx","link_id":1727,"relation":"undefined"}],"grants":[{"id":607,"fairsharing_record_id":1729,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:37.730Z","updated_at":"2021-09-30T09:24:37.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":606,"fairsharing_record_id":1729,"organisation_id":1793,"relation":"maintains","created_at":"2021-09-30T09:24:37.693Z","updated_at":"2021-09-30T09:24:37.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":1793,"name":"Max Planck Institute of Molecular Plant Physiology (MPIMP), Munich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":608,"fairsharing_record_id":1729,"organisation_id":917,"relation":"funds","created_at":"2021-09-30T09:24:37.767Z","updated_at":"2021-09-30T09:24:37.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1726","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-11T08:09:21.602Z","metadata":{"doi":"10.25504/FAIRsharing.ws7cgw","name":"Influenza Research Database","status":"deprecated","contacts":[{"contact_name":"Richard Scheuermann","contact_email":"rscheuermann@jcvi.org","contact_orcid":"0000-0003-1355-892X"}],"homepage":"http://www.fludb.org","citations":[{"doi":"10.1093/nar/gkw857","pubmed_id":27679478,"publication_id":2827}],"identifier":1726,"description":"The Influenza Research Database (IRD) is a free, open, publicly-accessible resource funded by the U.S. National Institute of Allergy and Infectious Diseases through the Bioinformatics Resource Centers program. IRD provides a comprehensive, integrated database and analysis resource for influenza sequence, surveillance, and research data, including user-friendly interfaces for data retrieval, visualization, and comparative genomics analysis, together with personal login- protected ‘workbench’ spaces for saving data sets and analysis results. IRD integrates genomic, proteomic, immune epitope, and surveillance data from a variety of sources, including public databases, computational algorithms, external research groups, and the scientific literature.","abbreviation":"IRD","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.fludb.org/brc/staticContent.spg?decorator=influenza\u0026type=FluInfo\u0026subtype=Contact","name":"Contact Information","type":"Contact form"},{"url":"influenza@virusbrc.org","name":"influenza@virusbrc.org","type":"Support email"},{"url":"https://www.fludb.org/brc/help_landing.spg?decorator=influenza","name":"General Help","type":"Help documentation"},{"url":"https://www.fludb.org/brc/staticContent.spg?decorator=influenza\u0026type=FluInfo\u0026subtype=Protocols","name":"Protocols Used","type":"Help documentation"},{"url":"https://www.fludb.org/brc/influenzaTutorials.spg?decorator=influenza","name":"IRD Tutorials and Training Materials","type":"Training documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"https://www.fludb.org/brc/tree.spg?method=ShowCleanInputPage\u0026decorator=influenza","name":"Generate Phylogenetic Tree (PhyML and RaxML)"},{"url":"https://www.fludb.org/brc/msa.spg?method=ShowCleanInputPage\u0026decorator=influenza","name":"Align Sequences (MSA) via MUSCLE"},{"url":"https://www.fludb.org/brc/workbench_landing.spg?decorator=influenza\u0026method=WorkbenchDetail","name":"Workbench"},{"url":"https://www.fludb.org/brc/blast.spg?method=ShowCleanInputPage\u0026decorator=influenza","name":"Identify Similar Sequences (BLAST)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011558","name":"re3data:r3d100011558","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006641","name":"SciCrunch:RRID:SCR_006641","portal":"SciCrunch"}],"deprecation_date":"2023-07-11","deprecation_reason":"Influenza Research Database (IRD) has been shut down/deprecated and replaced by the Bacterial and Viral Bioinformatics Resource Center (BV-BRC).","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000183","bsg-d000183"],"name":"FAIRsharing record for: Influenza Research Database","abbreviation":"IRD","url":"https://fairsharing.org/10.25504/FAIRsharing.ws7cgw","doi":"10.25504/FAIRsharing.ws7cgw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Influenza Research Database (IRD) is a free, open, publicly-accessible resource funded by the U.S. National Institute of Allergy and Infectious Diseases through the Bioinformatics Resource Centers program. IRD provides a comprehensive, integrated database and analysis resource for influenza sequence, surveillance, and research data, including user-friendly interfaces for data retrieval, visualization, and comparative genomics analysis, together with personal login- protected ‘workbench’ spaces for saving data sets and analysis results. IRD integrates genomic, proteomic, immune epitope, and surveillance data from a variety of sources, including public databases, computational algorithms, external research groups, and the scientific literature.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10765},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10933},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11056},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12301},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12621}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Proteomics","Virology","Biomedical Science","Epidemiology"],"domains":["Expression data","Structure","Sequence feature"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":219,"pubmed_id":22260278,"title":"Influenza research database: an integrated bioinformatics resource for influenza research and surveillance","year":2012,"url":"http://doi.org/10.1111/j.1750-2659.2011.00331.x","authors":"Squires RB, Noronha J, Hunt V, García-Sastre A, Macken C, Baumgarth N, Suarez D, Pickett BE, Zhang Y, Larsen CN, Ramsey A, Zhou L, Zaremba S, Kumar S, Deitrich J, Klem E, Scheuermann RH.","journal":"Influenza Other Respi Viruses","doi":"10.1111/j.1750-2659.2011.00331.x","created_at":"2021-09-30T08:22:43.731Z","updated_at":"2021-09-30T08:22:43.731Z"},{"id":235,"pubmed_id":22398283,"title":"Influenza virus sequence feature variant type analysis: evidence of a role for NS1 in influenza virus host range restriction","year":2012,"url":"http://doi.org/10.1128/JVI.06901-11","authors":"Noronha JM, Liu M, Squires RB, Pickett BE, Hale BG, Air GM, Galloway SE, Takimoto T, Schmolke M, Hunt V, Klem E, García-Sastre A, McGee M, Scheuermann RH","journal":"J Virol","doi":"10.1128/JVI.06901-11","created_at":"2021-09-30T08:22:45.374Z","updated_at":"2021-09-30T08:22:45.374Z"},{"id":674,"pubmed_id":24210098,"title":"Metadata-driven comparative analysis tool for sequences (meta-CATS): an automated process for identifying significant sequence variations that correlate with virus attributes","year":2013,"url":"http://doi.org/10.1016/j.virol.2013.08.021","authors":"Pickett BE, Liu M, Sadat EL, Squires RB, Noronha JM, He S, Jen W, Zaremba S, Gu Z, Zhou L, Larsen CN, Bosch I, Gehrke L, McGee M, Klem EB, Scheuermann RH","journal":"Virology","doi":"10.1016/j.virol.2013.08.021","created_at":"2021-09-30T08:23:34.337Z","updated_at":"2021-09-30T08:23:34.337Z"},{"id":1199,"pubmed_id":24936976,"title":"Standardized metadata for human pathogen/vector genomic sequences.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0099979","authors":"Dugan VG,Emrich SJ,Giraldo-Calderon GI et al.","journal":"PLoS One","doi":"10.1371/journal.pone.0099979","created_at":"2021-09-30T08:24:33.566Z","updated_at":"2021-09-30T08:24:33.566Z"},{"id":1208,"pubmed_id":25064525,"title":"Toward a method for tracking virus evolutionary trajectory applied to the pandemic H1N1 2009 influenza virus.","year":2014,"url":"http://doi.org/10.1016/j.meegid.2014.07.015","authors":"Squires RB,Pickett BE,Das S,Scheuermann RH","journal":"Infect Genet Evol","doi":"10.1016/j.meegid.2014.07.015","created_at":"2021-09-30T08:24:34.641Z","updated_at":"2021-09-30T08:24:34.641Z"},{"id":2204,"pubmed_id":25861210,"title":"A RESTful API for Access to Phylogenetic Tools via the CIPRES Science Gateway.","year":2015,"url":"http://doi.org/10.4137/EBO.S21501","authors":"Miller MA,Schwartz T,Pickett BE,He S,Klem EB,Scheuermann RH,Passarotti M,Kaufman S,O'Leary MA","journal":"Evol Bioinform Online","doi":"10.4137/EBO.S21501","created_at":"2021-09-30T08:26:28.401Z","updated_at":"2021-09-30T08:26:28.401Z"},{"id":2825,"pubmed_id":25977790,"title":"A comprehensive collection of systems biology data characterizing the host response to viral infection.","year":2014,"url":"http://doi.org/10.1038/sdata.2014.33","authors":"Aevermann BD,Pickett BE,Kumar S,Klem EB,Agnihothram S,Askovich PS,Bankhead A 3rd,Bolles M,Carter V,Chang J,Clauss TR,Dash P,Diercks AH,Eisfeld AJ,Ellis A,Fan S,Ferris MT,Gralinski LE,Green RR,Gritsenko MA,Hatta M,Heegel RA,Jacobs JM,Jeng S,Josset L,Kaiser SM,Kelly S,Law GL,Li C,Li J,Long C,Luna ML,Matzke M,McDermott J,Menachery V,Metz TO,Mitchell H,Monroe ME,Navarro G,Neumann G,Podyminogin RL,Purvine SO,Rosenberger CM,Sanders CJ,Schepmoes AA,Shukla AK,Sims A,Sova P,Tam VC,Tchitchek N,Thomas PG,Tilton SC,Totura A,Wang J,Webb-Robertson BJ,Wen J,Weiss JM,Yang F,Yount B,Zhang Q,McWeeney S,Smith RD,Waters KM,Kawaoka Y,Baric R,Aderem A,Katze MG,Scheuermann RH","journal":"Sci Data","doi":"10.1038/sdata.2014.33","created_at":"2021-09-30T08:27:47.465Z","updated_at":"2021-09-30T08:27:47.465Z"},{"id":2826,"pubmed_id":25741011,"title":"Diversifying Selection Analysis Predicts Antigenic Evolution of 2009 Pandemic H1N1 Influenza A Virus in Humans.","year":2015,"url":"http://doi.org/10.1128/JVI.03636-14","authors":"Lee AJ,Das SR,Wang W,Fitzgerald T,Pickett BE,Aevermann BD,Topham DJ,Falsey AR,Scheuermann RH","journal":"J Virol","doi":"10.1128/JVI.03636-14","created_at":"2021-09-30T08:27:47.573Z","updated_at":"2021-09-30T08:27:47.573Z"},{"id":2827,"pubmed_id":27679478,"title":"Influenza Research Database: An integrated bioinformatics resource for influenza virus research.","year":2016,"url":"http://doi.org/10.1093/nar/gkw857","authors":"Zhang Y,Aevermann BD,Anderson TK,Burke DF,Dauphin G,Gu Z,He S,Kumar S,Larsen CN,Lee AJ,Li X,Macken C,Mahaffey C,Pickett BE,Reardon B,Smith T,Stewart L,Suloway C,Sun G,Tong L,Vincent AL,Walters B,Zaremba S,Zhao H,Zhou L,Zmasek C,Klem EB,Scheuermann RH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw857","created_at":"2021-09-30T08:27:47.725Z","updated_at":"2021-09-30T11:29:46.720Z"}],"licence_links":[],"grants":[{"id":596,"fairsharing_record_id":1726,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:24:37.346Z","updated_at":"2021-09-30T09:24:37.346Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":600,"fairsharing_record_id":1726,"organisation_id":2183,"relation":"maintains","created_at":"2021-09-30T09:24:37.495Z","updated_at":"2021-09-30T09:24:37.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":2183,"name":"Northrop Grumman Health IT","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":598,"fairsharing_record_id":1726,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:37.415Z","updated_at":"2021-09-30T09:30:24.181Z","grant_id":696,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":597,"fairsharing_record_id":1726,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:37.378Z","updated_at":"2021-09-30T09:24:37.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":599,"fairsharing_record_id":1726,"organisation_id":3179,"relation":"maintains","created_at":"2021-09-30T09:24:37.458Z","updated_at":"2021-09-30T09:24:37.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":3179,"name":"Vecna Technologies","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1725","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-26T10:32:39.834Z","metadata":{"doi":"10.25504/FAIRsharing.3wdd17","name":"Antibody Registry","status":"ready","contacts":[{"contact_name":"Anita Bandrowski","contact_email":"abandrowski@ucsd.edu","contact_orcid":"0000-0002-5497-0243"}],"homepage":"https://antibodyregistry.org/","citations":[],"identifier":1725,"description":"The Antibody Registry exists to give researchers a way to universally identify antibodies used in publications. The registry lists many commercial antibodies from about 200 vendors which have each been assigned a unique identifier. If the antibody that you are using does not appear in the list, an entry can be made by filling in as little as 2 pieces of information: the catalog number and the url of the vendor where our curators can find information and material data sheets. Many optional fields can also be filled in that will help curators identify the reagent. After submitting an antibody, you are given a permanent identifier that can be used in publications. This identifier even if it is later found to be a duplicate, can be quickly traced back in the antibody registry. We never delete records, but we collapse duplicate entries on a regular basis (the old identifiers are kept to help with search).","abbreviation":null,"data_curation":{"url":"https://antibodyregistry.org/about","type":"manual","notes":"Curators review each record upon submission"},"support_links":[{"url":"abr-help@scicrunch.org","name":"Helpdesk","type":"Support email"},{"url":"https://antibodyregistry.org/about","name":"About the Antibody Registry","type":"Help documentation"}],"year_creation":2009,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010408","name":"re3data:r3d100010408","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006397","name":"SciCrunch:RRID:SCR_006397","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://antibodyregistry.org/about","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000182","bsg-d000182"],"name":"FAIRsharing record for: Antibody Registry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.3wdd17","doi":"10.25504/FAIRsharing.3wdd17","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Antibody Registry exists to give researchers a way to universally identify antibodies used in publications. The registry lists many commercial antibodies from about 200 vendors which have each been assigned a unique identifier. If the antibody that you are using does not appear in the list, an entry can be made by filling in as little as 2 pieces of information: the catalog number and the url of the vendor where our curators can find information and material data sheets. Many optional fields can also be filled in that will help curators identify the reagent. After submitting an antibody, you are given a permanent identifier that can be used in publications. This identifier even if it is later found to be a duplicate, can be quickly traced back in the antibody registry. We never delete records, but we collapse duplicate entries on a regular basis (the old identifiers are kept to help with search).","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11287}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Antibody","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":157,"pubmed_id":23900250,"title":"Finding the right antibody for the job.","year":2013,"url":"http://doi.org/10.1038/nmeth.2570","authors":"Marx V","journal":"Nat Methods","doi":"10.1038/nmeth.2570","created_at":"2021-09-30T08:22:37.290Z","updated_at":"2021-09-30T08:22:37.290Z"},{"id":3926,"pubmed_id":36370112,"title":"The Antibody Registry: ten years of registering antibodies.","year":2023,"url":"https://doi.org/10.1093/nar/gkac927","authors":"Bandrowski A, Pairish M, Eckmann P, Grethe J, Martone ME","journal":"Nucleic acids research","doi":"10.1093/nar/gkac927","created_at":"2023-06-23T15:33:36.985Z","updated_at":"2023-06-23T15:33:36.985Z"}],"licence_links":[{"licence_name":"Antibody Registry Terms of Use","licence_id":33,"licence_url":"https://antibodyregistry.org/terms-and-conditions","link_id":2328,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2329,"relation":"undefined"}],"grants":[{"id":594,"fairsharing_record_id":1725,"organisation_id":2144,"relation":"maintains","created_at":"2021-09-30T09:24:37.268Z","updated_at":"2021-09-30T09:24:37.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":595,"fairsharing_record_id":1725,"organisation_id":2037,"relation":"funds","created_at":"2021-09-30T09:24:37.299Z","updated_at":"2021-09-30T09:30:55.766Z","grant_id":938,"is_lead":false,"saved_state":{"id":2037,"name":"National Institutes of Health (NIH) Blueprint for Neuroscience Research, Bethesda, MD, USA","grant":"HHSN271200800035C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1813","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:15:14.535Z","metadata":{"doi":"10.25504/FAIRsharing.etp65g","name":"Catalogue of Transmission Genetics in Arabs","status":"ready","contacts":[{"contact_name":"Ghazi O. Tadmouri","contact_email":"tadmouri@hotmail.com","contact_orcid":"0000-0002-3895-5609"}],"homepage":"http://www.cags.org.ae/ctga/","citations":[],"identifier":1813,"description":"The Centre for Arab Genomic Studies (CAGS) initiated the ambitious project to establish the CTGA (Catalogue of Transmission Genetics in Arabs) database for genetic disorders in Arabs with the aim to enlighten the scientific community and the public on the occurrence of inherited disorders in Arabs and to suggest future investigation strategies.","abbreviation":"CTGA","data_curation":{"url":"https://cags.org.ae/en/ctga-submit-to-database","type":"manual/automated"},"support_links":[{"url":"cags@emirates.net.ae","type":"Support email"},{"url":"http://cags.org.ae/faqs/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cags.org.ae/ctga/submit/CTGA_Database_Information_Submission_Help_Topics.pdf","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"url":"https://cags.org.ae/en/aboutus","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.surveymonkey.com/r/CTGA2","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000273","bsg-d000273"],"name":"FAIRsharing record for: Catalogue of Transmission Genetics in Arabs","abbreviation":"CTGA","url":"https://fairsharing.org/10.25504/FAIRsharing.etp65g","doi":"10.25504/FAIRsharing.etp65g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Centre for Arab Genomic Studies (CAGS) initiated the ambitious project to establish the CTGA (Catalogue of Transmission Genetics in Arabs) database for genetic disorders in Arabs with the aim to enlighten the scientific community and the public on the occurrence of inherited disorders in Arabs and to suggest future investigation strategies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Genome","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Arab Emirates"],"publications":[{"id":1123,"pubmed_id":16381941,"title":"CTGA: the database for genetic disorders in Arab populations.","year":2005,"url":"http://doi.org/10.1093/nar/gkj015","authors":"Tadmouri GO., Al Ali MT., Al-Haj Ali S., Al Khaja N.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj015","created_at":"2021-09-30T08:24:24.381Z","updated_at":"2021-09-30T08:24:24.381Z"}],"licence_links":[],"grants":[{"id":829,"fairsharing_record_id":1813,"organisation_id":456,"relation":"maintains","created_at":"2021-09-30T09:24:45.591Z","updated_at":"2021-09-30T09:24:45.591Z","grant_id":null,"is_lead":false,"saved_state":{"id":456,"name":"Centre for Arab Genomic Studies, Dubai, United Arab Emirates","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1814","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:59:34.902Z","metadata":{"doi":"10.25504/FAIRsharing.mcqs21","name":"Insect Microsatellite Database","status":"ready","contacts":[{"contact_name":"Javaregowda Nagaraju","contact_email":"jnagaraju@cdfd.org.in"}],"homepage":"http://www.cdfd.org.in/insatdb","identifier":1814,"description":"InSatDb, unlike many other microsatellite databases that cater largely to the needs of microsatellites as markers, presents an interactive interface to query information regarding microsatellite characteristics of five fully sequenced insect genomes (fruit-fly, honeybee, malarial mosquito, red-flour beetle and silkworm).","abbreviation":"InSatDb","data_curation":{"type":"not found"},"support_links":[{"url":"http://cdfd.org.in/INSATDB/Tutorial.php","type":"Help documentation"},{"url":"http://cdfd.org.in/INSATDB/Glossary.php","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000274","bsg-d000274"],"name":"FAIRsharing record for: Insect Microsatellite Database","abbreviation":"InSatDb","url":"https://fairsharing.org/10.25504/FAIRsharing.mcqs21","doi":"10.25504/FAIRsharing.mcqs21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InSatDb, unlike many other microsatellite databases that cater largely to the needs of microsatellites as markers, presents an interactive interface to query information regarding microsatellite characteristics of five fully sequenced insect genomes (fruit-fly, honeybee, malarial mosquito, red-flour beetle and silkworm).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Microsatellite","Genome"],"taxonomies":["Anopheles gambiae","Apis","Apis mellifera","Bombyx mori","Drosophila","Drosophila melanogaster","Tribolium castaneum"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1292,"pubmed_id":17082205,"title":"InSatDb: a microsatellite database of fully sequenced insect genomes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl778","authors":"Archak S., Meduri E., Kumar PS., Nagaraju J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl778","created_at":"2021-09-30T08:24:44.201Z","updated_at":"2021-09-30T08:24:44.201Z"}],"licence_links":[],"grants":[{"id":830,"fairsharing_record_id":1814,"organisation_id":460,"relation":"maintains","created_at":"2021-09-30T09:24:45.633Z","updated_at":"2021-09-30T09:24:45.633Z","grant_id":null,"is_lead":false,"saved_state":{"id":460,"name":"Centre for DNA Fingerprinting and Diagnostics, Hyderabad, Telangana, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1816","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:01.445Z","metadata":{"doi":"10.25504/FAIRsharing.j7j53","name":"Candida Genome Database","status":"ready","contacts":[{"contact_name":"Martha B. Arnaud","contact_email":"arnaudm@stanford.edu"}],"homepage":"http://www.candidagenome.org/","identifier":1816,"description":"The Candida Genome Database (CGD) provides access to genomic sequence data and manually curated functional information about genes and proteins of the human pathogen Candida albicans. It collects gene names and aliases, and assigns gene ontology terms to describe the molecular function, biological process, and subcellular localization of gene products.","abbreviation":"CGD","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.candidagenome.org/cgi-bin/suggestion","type":"Contact form"},{"url":"candida-curator@lists.stanford.edu","type":"Support email"},{"url":"http://www.candidagenome.org/HelpContents.shtml","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"http://www.candidagenome.org/cgi-bin/compute/blast_clade.pl","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010617","name":"re3data:r3d100010617","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002036","name":"SciCrunch:RRID:SCR_002036","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.candidagenome.org/cgi-bin/registry/geneRegistry","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000276","bsg-d000276"],"name":"FAIRsharing record for: Candida Genome Database","abbreviation":"CGD","url":"https://fairsharing.org/10.25504/FAIRsharing.j7j53","doi":"10.25504/FAIRsharing.j7j53","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Candida Genome Database (CGD) provides access to genomic sequence data and manually curated functional information about genes and proteins of the human pathogen Candida albicans. It collects gene names and aliases, and assigns gene ontology terms to describe the molecular function, biological process, and subcellular localization of gene products.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19991}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Nucleotide","Pathogen","Curated information","Genome"],"taxonomies":["Candida"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":329,"pubmed_id":15608216,"title":"The Candida Genome Database (CGD), a community resource for Candida albicans gene and protein information.","year":2004,"url":"http://doi.org/10.1093/nar/gki003","authors":"Arnaud MB., Costanzo MC., Skrzypek MS., Binkley G., Lane C., Miyasato SR., Sherlock G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki003","created_at":"2021-09-30T08:22:55.307Z","updated_at":"2021-09-30T08:22:55.307Z"},{"id":1489,"pubmed_id":22064862,"title":"The Candida genome database incorporates multiple Candida species: multispecies search and analysis tools with curated gene and protein information for Candida albicans and Candida glabrata.","year":2011,"url":"http://doi.org/10.1093/nar/gkr945","authors":"Inglis DO., Arnaud MB., Binkley J., Shah P., Skrzypek MS., Wymore F., Binkley G., Miyasato SR., Simison M., Sherlock G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr945","created_at":"2021-09-30T08:25:06.676Z","updated_at":"2021-09-30T08:25:06.676Z"}],"licence_links":[],"grants":[{"id":832,"fairsharing_record_id":1816,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:24:45.725Z","updated_at":"2021-09-30T09:24:45.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":833,"fairsharing_record_id":1816,"organisation_id":2013,"relation":"funds","created_at":"2021-09-30T09:24:45.762Z","updated_at":"2021-09-30T09:29:54.939Z","grant_id":466,"is_lead":false,"saved_state":{"id":2013,"name":"National Institute of Dental and Craniofacial Research (NIDCR), Rockville, MD, USA","grant":"R01 DE015873","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1817","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T18:56:55.867Z","metadata":{"doi":"10.25504/FAIRsharing.rgb21","name":"Receptor Tyrosine Kinase database","status":"deprecated","contacts":[{"contact_email":"perriere@biomserv.univ-lyon1.fr"}],"homepage":"http://pbil.univ-lyon1.fr/RTKdb/","citations":[],"identifier":1817,"description":"A database dedicated to the tyrosine kinase recepter.","abbreviation":"RTKdb","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://pbil.univ-lyon1.fr/RTKdb/","name":"search"},{"url":"http://pbil.univ-lyon1.fr/RTKdb/","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000277","bsg-d000277"],"name":"FAIRsharing record for: Receptor Tyrosine Kinase database","abbreviation":"RTKdb","url":"https://fairsharing.org/10.25504/FAIRsharing.rgb21","doi":"10.25504/FAIRsharing.rgb21","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database dedicated to the tyrosine kinase recepter.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Protein"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus","Xenopus laevis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":332,"pubmed_id":12520021,"title":"RTKdb: database of Receptor Tyrosine Kinase.","year":2003,"url":"http://doi.org/10.1093/nar/gkg036","authors":"Grassot J., Mouchiroud G., Perrière G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg036","created_at":"2021-09-30T08:22:55.749Z","updated_at":"2021-09-30T08:22:55.749Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1818","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:34:21.618Z","metadata":{"doi":"10.25504/FAIRsharing.1tbrdz","name":"Coli Genetic Stock Center","status":"ready","contacts":[{"contact_name":"John Wertz","contact_email":"john.wertz@yale.edu"}],"homepage":"https://cgsc.biology.yale.edu/","citations":[],"identifier":1818,"description":"The CGSC Database of E. coli genetic information includes genotypes and reference information for the strains in the CGSC collection, the names, synonyms, properties, and map position for genes, gene product information, and information on specific mutations and references to primary literature.","abbreviation":"CGSC","data_curation":{"type":"not found"},"support_links":[{"url":"CGSC@yale.edu","type":"Support email"},{"url":"http://cgsc.biology.yale.edu/FAQonProcs.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cgsc.biology.yale.edu/cgsc.php","type":"Help documentation"}],"year_creation":1989,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010585","name":"re3data:r3d100010585","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002303","name":"SciCrunch:RRID:SCR_002303","portal":"SciCrunch"}],"data_access_condition":{"type":"partially open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000278","bsg-d000278"],"name":"FAIRsharing record for: Coli Genetic Stock Center","abbreviation":"CGSC","url":"https://fairsharing.org/10.25504/FAIRsharing.1tbrdz","doi":"10.25504/FAIRsharing.1tbrdz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CGSC Database of E. coli genetic information includes genotypes and reference information for the strains in the CGSC collection, the names, synonyms, properties, and map position for genes, gene product information, and information on specific mutations and references to primary literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence position","Genome map","Gene name","Mutation analysis","Gene","Genotype","Genetic strain"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1563,"pubmed_id":17352909,"title":"Strain collections and genetic nomenclature.","year":2007,"url":"http://doi.org/10.1016/S0076-6879(06)21001-2","authors":"Maloy SR., Hughes KT.,","journal":"Meth. Enzymol.","doi":"10.1016/S0076-6879(06)21001-2","created_at":"2021-09-30T08:25:15.284Z","updated_at":"2021-09-30T08:25:15.284Z"}],"licence_links":[],"grants":[{"id":834,"fairsharing_record_id":1818,"organisation_id":551,"relation":"maintains","created_at":"2021-09-30T09:24:45.795Z","updated_at":"2021-09-30T09:24:45.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":551,"name":"Coli Genetic Stock Center (CGSC), Yale University, New Haven, CT, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1819","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:57:44.005Z","metadata":{"doi":"10.25504/FAIRsharing.p2brza","name":"Human siRNA database","status":"deprecated","contacts":[{"contact_name":"Matthias Truss","contact_email":"Matthias.Truss@Charite.de"}],"homepage":"http://itb.biologie.hu-berlin.de/~nebulus/sirna/index.htm","identifier":1819,"description":"HuSiDa is a public database that serves as a depository for both, sequences of published functional siRNA molecules targeting human genes and important technical details of the corresponding gene silencing experiments. It aims at supporting the setup and actual procedure of specific RNAi experiments in human cells.","abbreviation":"HuSiDa","data_curation":{"type":"not found"},"support_links":[{"url":"http://itb.biologie.hu-berlin.de/~nebulus/sirna/instruct.htm","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000279","bsg-d000279"],"name":"FAIRsharing record for: Human siRNA database","abbreviation":"HuSiDa","url":"https://fairsharing.org/10.25504/FAIRsharing.p2brza","doi":"10.25504/FAIRsharing.p2brza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HuSiDa is a public database that serves as a depository for both, sequences of published functional siRNA molecules targeting human genes and important technical details of the corresponding gene silencing experiments. It aims at supporting the setup and actual procedure of specific RNAi experiments in human cells.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12631}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Ribonucleic acid","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":345,"pubmed_id":15608157,"title":"HuSiDa--the human siRNA database: an open-access database for published functional siRNA sequences and technical details of efficient transfer into recipient cells.","year":2004,"url":"http://doi.org/10.1093/nar/gki131","authors":"Truss M., Swat M., Kielbasa SM., Schäfer R., Herzel H., Hagemeier C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki131","created_at":"2021-09-30T08:22:57.174Z","updated_at":"2021-09-30T08:22:57.174Z"}],"licence_links":[],"grants":[{"id":836,"fairsharing_record_id":1819,"organisation_id":494,"relation":"maintains","created_at":"2021-09-30T09:24:45.843Z","updated_at":"2021-09-30T09:24:45.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":494,"name":"Charite - University Medicine Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":837,"fairsharing_record_id":1819,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:45.924Z","updated_at":"2021-09-30T09:24:45.924Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9353,"fairsharing_record_id":1819,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.562Z","updated_at":"2022-04-11T12:07:32.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1820","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:16.301Z","metadata":{"doi":"10.25504/FAIRsharing.kd39j4","name":"IRESite","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"ires@iresite.org"}],"homepage":"http://www.iresite.org","identifier":1820,"description":"The IRESite database presents information about experimentally studied IRES (Internal Ribosome Entry Site) segments. IRES regions are known to attract the eukaryotic ribosomal translation initiation complex and thus promote translation initiation independently of the presence of the commonly utilized 5'-terminal 7mG cap structure.","abbreviation":"IRESite","data_curation":{"url":"http://www.iresite.org/IRESite_web.php?page=faq","type":"manual","notes":"Curators extract data from published articles and help scientist to enter their own data, published or not."},"support_links":[{"url":"http://www.iresite.org/IRESite_web.php?page=faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.iresite.org/IRESite_web.php?page=info_for_submiters","type":"open","notes":"Free login is required for data submission."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000280","bsg-d000280"],"name":"FAIRsharing record for: IRESite","abbreviation":"IRESite","url":"https://fairsharing.org/10.25504/FAIRsharing.kd39j4","doi":"10.25504/FAIRsharing.kd39j4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IRESite database presents information about experimentally studied IRES (Internal Ribosome Entry Site) segments. IRES regions are known to attract the eukaryotic ribosomal translation initiation complex and thus promote translation initiation independently of the presence of the commonly utilized 5'-terminal 7mG cap structure.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Nucleic acid sequence","Peptide","Ribosomal RNA","Ribonucleic acid","Biological regulation","Plasmid"],"taxonomies":["Eukaryota","Viruses"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1597,"pubmed_id":16381829,"title":"IRESite: the database of experimentally verified IRES structures (www.iresite.org).","year":2005,"url":"http://doi.org/10.1093/nar/gkj081","authors":"Mokrejs M., Vopálenský V., Kolenaty O., Masek T., Feketová Z., Sekyrová P., Skaloudová B., Kríz V., Pospísek M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj081","created_at":"2021-09-30T08:25:19.079Z","updated_at":"2021-09-30T08:25:19.079Z"},{"id":1615,"pubmed_id":19917642,"title":"IRESite--a tool for the examination of viral and cellular internal ribosome entry sites.","year":2009,"url":"http://doi.org/10.1093/nar/gkp981","authors":"Mokrejs M., Masek T., Vopálensky V., Hlubucek P., Delbos P., Pospísek M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp981","created_at":"2021-09-30T08:25:20.977Z","updated_at":"2021-09-30T08:25:20.977Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":278,"relation":"undefined"}],"grants":[{"id":839,"fairsharing_record_id":1820,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:24:46.004Z","updated_at":"2021-09-30T09:32:17.453Z","grant_id":1550,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LC06066","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":838,"fairsharing_record_id":1820,"organisation_id":495,"relation":"maintains","created_at":"2021-09-30T09:24:45.966Z","updated_at":"2021-09-30T09:24:45.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":495,"name":"Charles University, Prague, Czech Republic","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":840,"fairsharing_record_id":1820,"organisation_id":633,"relation":"funds","created_at":"2021-09-30T09:24:46.041Z","updated_at":"2021-09-30T09:29:17.861Z","grant_id":183,"is_lead":false,"saved_state":{"id":633,"name":"Czech Science Foundation (GACR), Czech Republic","grant":"301/07/0607","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1821","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:28:43.174Z","metadata":{"doi":"10.25504/FAIRsharing.yp3rcg","name":"Eukaryotic Paralog Group Database","status":"deprecated","contacts":[{"contact_name":"Guohui Ding","contact_email":"ghding@gmail.com"}],"homepage":"http://epgd.biosino.org/EPGD/","identifier":1821,"description":"The database is gene-centered and organized by paralog family. It focused on the paralogs and the duplication events in the evolution. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website in plain text files.","abbreviation":"EPGD","data_curation":{"type":"not found"},"support_links":[{"url":"http://epgd.biosino.org/EPGD/help.jsp","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://epgd.biosino.org/EPGD/search/adseqsearch.jsp","name":"advanced search"},{"url":"http://epgd.biosino.org/EPGD/search/adseqsearch.jsp","name":"advanced search"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000281","bsg-d000281"],"name":"FAIRsharing record for: Eukaryotic Paralog Group Database","abbreviation":"EPGD","url":"https://fairsharing.org/10.25504/FAIRsharing.yp3rcg","doi":"10.25504/FAIRsharing.yp3rcg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database is gene-centered and organized by paralog family. It focused on the paralogs and the duplication events in the evolution. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website in plain text files.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Gene"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":344,"pubmed_id":17984073,"title":"EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information.","year":2007,"url":"http://doi.org/10.1093/nar/gkm924","authors":"Ding G., Sun Y., Li H., Wang Z., Fan H., Wang C., Yang D., Li Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm924","created_at":"2021-09-30T08:22:57.074Z","updated_at":"2021-09-30T08:22:57.074Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":279,"relation":"undefined"}],"grants":[{"id":841,"fairsharing_record_id":1821,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.083Z","updated_at":"2021-09-30T09:24:46.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":842,"fairsharing_record_id":1821,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:46.125Z","updated_at":"2021-09-30T09:31:31.595Z","grant_id":1209,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2006CB910700","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1822","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T14:46:12.496Z","metadata":{"doi":"10.25504/FAIRsharing.mtg4ew","name":"The Database of Human DNA Methylation and Cancer","status":"deprecated","contacts":[{"contact_name":"Jing Wang","contact_email":"wangjing@genomics.org.cn"}],"homepage":"http://methycancer.psych.ac.cn/","citations":[],"identifier":1822,"description":"The database of human DNA Methylation and Cancer (MethyCancer) is developed to study interplay of DNA methylation, gene expression and cancer. It hosts both highly integrated data of DNA methylation, cancer-related gene, mutation and cancer information from public resources, and the CpG Island (CGI) clones derived from our large-scale sequencing.","abbreviation":"MethyCancer","data_curation":{"type":"not found"},"support_links":[{"url":"http://methycancer.psych.ac.cn/Doclinks.do","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://methycancer.psych.ac.cn/Blast.do","name":"BLAST"}],"deprecation_date":"2023-03-20","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000282","bsg-d000282"],"name":"FAIRsharing record for: The Database of Human DNA Methylation and Cancer","abbreviation":"MethyCancer","url":"https://fairsharing.org/10.25504/FAIRsharing.mtg4ew","doi":"10.25504/FAIRsharing.mtg4ew","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database of human DNA Methylation and Cancer (MethyCancer) is developed to study interplay of DNA methylation, gene expression and cancer. It hosts both highly integrated data of DNA methylation, cancer-related gene, mutation and cancer information from public resources, and the CpG Island (CGI) clones derived from our large-scale sequencing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Expression data","Deoxyribonucleic acid","Cancer","DNA methylation","Small molecule","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":340,"pubmed_id":17890243,"title":"MethyCancer: the database of human DNA methylation and cancer.","year":2007,"url":"http://doi.org/10.1093/nar/gkm730","authors":"He X., Chang S., Zhang J., Zhao Q., Xiang H., Kusonmano K., Yang L., Sun ZS., Yang H., Wang J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm730","created_at":"2021-09-30T08:22:56.591Z","updated_at":"2021-09-30T08:22:56.591Z"}],"licence_links":[],"grants":[{"id":844,"fairsharing_record_id":1822,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.194Z","updated_at":"2021-09-30T09:24:46.194Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":843,"fairsharing_record_id":1822,"organisation_id":12,"relation":"funds","created_at":"2021-09-30T09:24:46.162Z","updated_at":"2021-09-30T09:30:05.806Z","grant_id":549,"is_lead":false,"saved_state":{"id":12,"name":"863 Program, National High Technology Research and Development Program of China","grant":"2006AA02A304","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1823","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:42:03.999Z","metadata":{"doi":"10.25504/FAIRsharing.3cswbc","name":"MiCroKiTS","status":"ready","contacts":[{"contact_name":"Zexian Liu","contact_email":"lzx.bioinfo@gmail.com","contact_orcid":"0000-0001-9698-0610"}],"homepage":"http://microkit.biocuckoo.org/","citations":[],"identifier":1823,"description":"This resource is a collection of all proteins identified to be localized on kinetochore, centrosome, midbody, telomere and spindle from two fungi (S. cerevisiae and S. pombe) and five animals, including C. elegans, D. melanogaster, X. laevis, M. musculus and H. sapiens based on the rationale of \"Seeing is believing\" (Bloom K et al., 2005). Through ortholog searches, the proteins potentially localized at these sub-cellular regions were detected in 144 eukaryotes. Then the integrated and searchable database MiCroKiTS - Midbody, Centrosome, Kinetochore, Telomere and Spindle has been established. Currently, the MiCroKiTS 4.0 database was updated on Sep. 6, 2014, containing 87,983 unique protein entries.","abbreviation":"MiCroKiTS","data_curation":{"type":"not found"},"support_links":[{"url":"http://microkit.biocuckoo.org/userguide.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010550","name":"re3data:r3d100010550","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007052","name":"SciCrunch:RRID:SCR_007052","portal":"SciCrunch"}],"data_access_condition":{"url":"http://microkit.biocuckoo.org/download.php","type":"partially open","notes":"Only freely available for academic research, for commercial usage it isn't,"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000283","bsg-d000283"],"name":"FAIRsharing record for: MiCroKiTS","abbreviation":"MiCroKiTS","url":"https://fairsharing.org/10.25504/FAIRsharing.3cswbc","doi":"10.25504/FAIRsharing.3cswbc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource is a collection of all proteins identified to be localized on kinetochore, centrosome, midbody, telomere and spindle from two fungi (S. cerevisiae and S. pombe) and five animals, including C. elegans, D. melanogaster, X. laevis, M. musculus and H. sapiens based on the rationale of \"Seeing is believing\" (Bloom K et al., 2005). Through ortholog searches, the proteins potentially localized at these sub-cellular regions were detected in 144 eukaryotes. Then the integrated and searchable database MiCroKiTS - Midbody, Centrosome, Kinetochore, Telomere and Spindle has been established. Currently, the MiCroKiTS 4.0 database was updated on Sep. 6, 2014, containing 87,983 unique protein entries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Xenopus laevis"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":342,"pubmed_id":19783819,"title":"MiCroKit 3.0: an integrated database of midbody, centrosome and kinetochore.","year":2009,"url":"http://doi.org/10.1093/nar/gkp784","authors":"Ren J., Liu Z., Gao X., Jin C., Ye M., Zou H., Wen L., Zhang Z., Xue Y., Yao X.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp784","created_at":"2021-09-30T08:22:56.874Z","updated_at":"2021-09-30T08:22:56.874Z"},{"id":1252,"pubmed_id":25392421,"title":"MiCroKiTS 4.0: a database of midbody, centrosome, kinetochore, telomere and spindle.","year":2014,"url":"http://doi.org/10.1093/nar/gku1125","authors":"Huang Z,Ma L,Wang Y,Pan Z,Ren J,Liu Z,Xue Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1125","created_at":"2021-09-30T08:24:39.655Z","updated_at":"2021-09-30T11:29:04.101Z"}],"licence_links":[],"grants":[{"id":846,"fairsharing_record_id":1823,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.243Z","updated_at":"2021-09-30T09:24:46.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":845,"fairsharing_record_id":1823,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:46.218Z","updated_at":"2021-09-30T09:30:43.365Z","grant_id":839,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2013CB933900","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":847,"fairsharing_record_id":1823,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:46.275Z","updated_at":"2021-09-30T09:29:07.544Z","grant_id":104,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31171263","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1824","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:43:41.624Z","metadata":{"doi":"10.25504/FAIRsharing.e4937j","name":"Shanghai Rapeseed Database","status":"deprecated","contacts":[{"contact_email":"rapeseed@sibs.ac.cn"}],"homepage":"http://rapeseed.plantsignal.cn","citations":[],"identifier":1824,"description":"Shanghai RAPESEED Database: a resource for functional genomics studies of seed development and fatty acid metabolism of Brassica.","abbreviation":"SRD","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://rapeseed.plantsignal.cn/search.do","name":"search"},{"url":"http://rapeseed.plantsignal.cn/newBlastTask.do","name":"BLAST"},{"url":"http://rapeseed.plantsignal.cn/search.do","name":"search"},{"url":"http://rapeseed.plantsignal.cn/newBlastTask.do","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000284","bsg-d000284"],"name":"FAIRsharing record for: Shanghai Rapeseed Database","abbreviation":"SRD","url":"https://fairsharing.org/10.25504/FAIRsharing.e4937j","doi":"10.25504/FAIRsharing.e4937j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Shanghai RAPESEED Database: a resource for functional genomics studies of seed development and fatty acid metabolism of Brassica.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Brassica napus"],"user_defined_tags":[],"countries":["China","United States"],"publications":[{"id":326,"pubmed_id":17916574,"title":"Shanghai RAPESEED Database: a resource for functional genomics studies of seed development and fatty acid metabolism of Brassica.","year":2007,"url":"http://doi.org/10.1093/nar/gkm780","authors":"Wu GZ., Shi QM., Niu Y., Xing MQ., Xue HW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm780","created_at":"2021-09-30T08:22:54.990Z","updated_at":"2021-09-30T08:22:54.990Z"}],"licence_links":[],"grants":[{"id":848,"fairsharing_record_id":1824,"organisation_id":2762,"relation":"maintains","created_at":"2021-09-30T09:24:46.316Z","updated_at":"2021-09-30T09:24:46.316Z","grant_id":null,"is_lead":false,"saved_state":{"id":2762,"name":"The CUCKOO Workgroup","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1825","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:09.317Z","metadata":{"doi":"10.25504/FAIRsharing.f8pqxt","name":"GenomeTraFaC","status":"deprecated","contacts":[{"contact_name":"Anil Jegga","contact_email":"anil.jegga@cchmc.org"}],"homepage":"http://genometrafac.cchmc.org","identifier":1825,"description":"GenomeTraFaC is a database of conserved regulatory elements obtained by systematically analyzing the orthologous set of human and mouse genes. It mainly focuses on all of the high-quality mRNA entries of mouse and human genes in the Reference Sequence (RefSeq) database of the NCBI.","abbreviation":"GenomeTraFaC","data_curation":{"type":"not found"},"support_links":[{"url":"http://info.cchmc.org/help/genometrafac/index.html#faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://info.cchmc.org/help/genometrafac/index.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000285","bsg-d000285"],"name":"FAIRsharing record for: GenomeTraFaC","abbreviation":"GenomeTraFaC","url":"https://fairsharing.org/10.25504/FAIRsharing.f8pqxt","doi":"10.25504/FAIRsharing.f8pqxt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenomeTraFaC is a database of conserved regulatory elements obtained by systematically analyzing the orthologous set of human and mouse genes. It mainly focuses on all of the high-quality mRNA entries of mouse and human genes in the Reference Sequence (RefSeq) database of the NCBI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Ribonucleic acid","Biological regulation","Gene regulatory element","Messenger RNA"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1940,"pubmed_id":17178752,"title":"GenomeTrafac: a whole genome resource for the detection of transcription factor binding site clusters associated with conventional and microRNA encoding genes conserved between mouse and human gene orthologs.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1011","authors":"Jegga AG., Chen J., Gowrisankar S., Deshmukh MA., Gudivada R., Kong S., Kaimal V., Aronow BJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1011","created_at":"2021-09-30T08:25:58.339Z","updated_at":"2021-09-30T08:25:58.339Z"}],"licence_links":[],"grants":[{"id":851,"fairsharing_record_id":1825,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:46.430Z","updated_at":"2021-09-30T09:31:03.343Z","grant_id":995,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"UO1 CA84291-07","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":849,"fairsharing_record_id":1825,"organisation_id":521,"relation":"maintains","created_at":"2021-09-30T09:24:46.358Z","updated_at":"2021-09-30T09:24:46.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":521,"name":"Cincinnati Children's Hospital Medical Center, OH, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":850,"fairsharing_record_id":1825,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:24:46.396Z","updated_at":"2021-09-30T09:24:46.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1826","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:09.580Z","metadata":{"doi":"10.25504/FAIRsharing.c1rep3","name":"PolyDoms","status":"deprecated","contacts":[{"contact_name":"Anil Jegga","contact_email":"anil.jegga@cchmc.org"}],"homepage":"http://polydoms.cchmc.org","identifier":1826,"description":"An integrated database of human coding single nucleotide polymorphisms (SNPs) and their annotations.","abbreviation":"PolyDoms","data_curation":{"type":"not found"},"support_links":[{"url":"http://info.chmcc.org/help/polydoms/index.html","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000286","bsg-d000286"],"name":"FAIRsharing record for: PolyDoms","abbreviation":"PolyDoms","url":"https://fairsharing.org/10.25504/FAIRsharing.c1rep3","doi":"10.25504/FAIRsharing.c1rep3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated database of human coding single nucleotide polymorphisms (SNPs) and their annotations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Single nucleotide polymorphism"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3103,"pubmed_id":17142238,"title":"PolyDoms: a whole genome database for the identification of non-synonymous coding SNPs with the potential to impact disease.","year":2006,"url":"http://doi.org/10.1093/nar/gkl826","authors":"Jegga AG,Gowrisankar S,Chen J,Aronow BJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl826","created_at":"2021-09-30T08:28:22.225Z","updated_at":"2021-09-30T11:29:51.179Z"}],"licence_links":[],"grants":[{"id":852,"fairsharing_record_id":1826,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:24:46.476Z","updated_at":"2021-09-30T09:24:46.476Z","grant_id":null,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":853,"fairsharing_record_id":1826,"organisation_id":521,"relation":"maintains","created_at":"2021-09-30T09:24:46.513Z","updated_at":"2021-09-30T09:24:46.513Z","grant_id":null,"is_lead":false,"saved_state":{"id":521,"name":"Cincinnati Children's Hospital Medical Center, OH, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1827","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:33:44.569Z","metadata":{"doi":"10.25504/FAIRsharing.j98570","name":"GreenPhylDB: A phylogenomic database for plant comparative genomics","status":"ready","contacts":[{"contact_name":"Mathieu Rouard","contact_email":"greenphyldb@cirad.fr"}],"homepage":"http://www.greenphyl.org","citations":[],"identifier":1827,"description":"GreenPhylDB comprises 37 full genomes from the major phylum of plant evolution. Clustering of these genomes was performed to define a consistent and extensive set of homeomorphic plant families.","abbreviation":"GreenPhyl","data_curation":{"url":"https://www.greenphyl.org/cgi-bin/documentation.cgi?page=methodology","type":"manual","notes":"Clusters are checked by curators using a dedicated interface."},"support_links":[{"url":"http://www.greenphyl.org/cgi-bin/documentation.cgi?page=faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.greenphyl.org/cgi-bin/documentation.cgi?page=overview","type":"Help documentation"},{"url":"http://www.greenphyl.org/cgi-bin/documentation.cgi?page=team","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://www.greenphyl.org/cgi-bin/blast.cgi","name":"BLAST"},{"url":"http://www.greenphyl.org/cgi-bin/quick_search.cgi","name":"search"},{"url":"http://www.greenphyl.org/cgi-bin/treepattern.cgi","name":"TreePattern"},{"url":"http://www.greenphyl.org/cgi-bin/ipr2genomes.cgi","name":"Interpro domain search"},{"url":"http://www.greenphyl.org/cgi-bin/families.cgi?p=list\u0026type=validated","name":"browse"},{"url":"http://www.greenphyl.org/cgi-bin/search_families.cgi","name":"advanced search"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000287","bsg-d000287"],"name":"FAIRsharing record for: GreenPhylDB: A phylogenomic database for plant comparative genomics","abbreviation":"GreenPhyl","url":"https://fairsharing.org/10.25504/FAIRsharing.j98570","doi":"10.25504/FAIRsharing.j98570","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GreenPhylDB comprises 37 full genomes from the major phylum of plant evolution. Clustering of these genomes was performed to define a consistent and extensive set of homeomorphic plant families.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenomics","Life Science"],"domains":["Sequence cluster","Homologous","Orthologous","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":346,"pubmed_id":20864446,"title":"GreenPhylDB v2.0: comparative and functional genomics in plants.","year":2010,"url":"http://doi.org/10.1093/nar/gkq811","authors":"Rouard M., Guignon V., Aluome C., Laporte MA., Droc G., Walde C., Zmasek CM., Périn C., Conte MG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq811","created_at":"2021-09-30T08:22:57.274Z","updated_at":"2021-09-30T08:22:57.274Z"}],"licence_links":[{"licence_name":"GreenPhyl Terms of Service","licence_id":365,"licence_url":"http://www.greenphyl.org/cgi-bin/tos.cgi","link_id":923,"relation":"undefined"}],"grants":[{"id":856,"fairsharing_record_id":1827,"organisation_id":2603,"relation":"maintains","created_at":"2021-09-30T09:24:46.626Z","updated_at":"2021-09-30T09:24:46.626Z","grant_id":null,"is_lead":false,"saved_state":{"id":2603,"name":"South Green","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":854,"fairsharing_record_id":1827,"organisation_id":1101,"relation":"maintains","created_at":"2021-09-30T09:24:46.550Z","updated_at":"2021-09-30T09:24:46.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":1101,"name":"Generation Challenge Programme, Mexico","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":855,"fairsharing_record_id":1827,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:24:46.589Z","updated_at":"2021-09-30T09:24:46.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":857,"fairsharing_record_id":1827,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.675Z","updated_at":"2021-09-30T09:24:46.675Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1828","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:04.537Z","metadata":{"doi":"10.25504/FAIRsharing.7m4hza","name":"OryGenesDB: an interactive tool for rice reverse genetics","status":"ready","contacts":[{"contact_name":"Pierre Larmande","contact_email":"pierre.larmande@cirad.fr","contact_orcid":"0000-0002-2923-9790"}],"homepage":"http://orygenesdb.cirad.fr/","identifier":1828,"description":"The aim of this Oryza sativa database was first to display sequence information such as the T-DNA and Ds flanking sequence tags (FSTs) produced in the framework of the French genomics initiative Genoplante and the EU consortium Cereal Gene Tags. This information was later linked with related molecular data from external rice molecular resources (cDNA full length, Gene, EST, Markers, Expression data...).","abbreviation":"OryGenesDB","data_curation":{"type":"automated"},"support_links":[{"url":"orygenesdb@cirad.fr","type":"Support email"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://orygenesdb.cirad.fr/blast.html","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000288","bsg-d000288"],"name":"FAIRsharing record for: OryGenesDB: an interactive tool for rice reverse genetics","abbreviation":"OryGenesDB","url":"https://fairsharing.org/10.25504/FAIRsharing.7m4hza","doi":"10.25504/FAIRsharing.7m4hza","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of this Oryza sativa database was first to display sequence information such as the T-DNA and Ds flanking sequence tags (FSTs) produced in the framework of the French genomics initiative Genoplante and the EU consortium Cereal Gene Tags. This information was later linked with related molecular data from external rice molecular resources (cDNA full length, Gene, EST, Markers, Expression data...).","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16715}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","DNA sequence data","Deoxyribonucleic acid","Flanking region","Sequence tag","Gene","Complementary DNA"],"taxonomies":["Oryza","Oryza sativa"],"user_defined_tags":["Flanking Sequence Tags (FST)"],"countries":["France"],"publications":[{"id":341,"pubmed_id":19036791,"title":"OryGenesDB 2008 update: database interoperability for functional genomics of rice.","year":2008,"url":"http://doi.org/10.1093/nar/gkn821","authors":"Droc G., Périn C., Fromentin S., Larmande P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn821","created_at":"2021-09-30T08:22:56.775Z","updated_at":"2021-09-30T08:22:56.775Z"}],"licence_links":[],"grants":[{"id":858,"fairsharing_record_id":1828,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.717Z","updated_at":"2021-09-30T09:24:46.717Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1829","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:53:49.249Z","metadata":{"doi":"10.25504/FAIRsharing.61c2x6","name":"Oryza Tag Line","status":"ready","contacts":[{"contact_email":"oryzatagline@cirad.fr"}],"homepage":"http://oryzatagline.cirad.fr/","identifier":1829,"description":"Oryza Tag Line consists in a searchable database developed under the Oracle management system integrating phenotypic data resulting from the evaluation of the Genoplante rice insertion line library.","abbreviation":"OTL","data_curation":{"type":"not found"},"support_links":[{"url":"oryzatagline@cirad.fr","type":"Support email"},{"url":"http://oryzatagline.cirad.fr/help.htm","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000289","bsg-d000289"],"name":"FAIRsharing record for: Oryza Tag Line","abbreviation":"OTL","url":"https://fairsharing.org/10.25504/FAIRsharing.61c2x6","doi":"10.25504/FAIRsharing.61c2x6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Oryza Tag Line consists in a searchable database developed under the Oracle management system integrating phenotypic data resulting from the evaluation of the Genoplante rice insertion line library.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","DNA sequence data","Deoxyribonucleic acid","Phenotype","Messenger RNA","Complementary DNA"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":331,"pubmed_id":17947330,"title":"Oryza Tag Line, a phenotypic mutant database for the Genoplante rice insertion line library.","year":2007,"url":"http://doi.org/10.1093/nar/gkm762","authors":"Larmande P., Gay C., Lorieux M., Périn C., Bouniol M., Droc G., Sallaud C., Perez P., Barnola I., Biderre-Petit C., Martin J., Morel JB., Johnson AA., Bourgis F., Ghesquière A., Ruiz M., Courtois B., Guiderdoni E.,","journal":"Nucleic Acids Res.","doi":"17947330","created_at":"2021-09-30T08:22:55.657Z","updated_at":"2021-09-30T08:22:55.657Z"}],"licence_links":[],"grants":[{"id":859,"fairsharing_record_id":1829,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.755Z","updated_at":"2021-09-30T09:24:46.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1801","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:47.231Z","metadata":{"doi":"10.25504/FAIRsharing.x8xt3k","name":"PhosphoSite Plus","status":"ready","contacts":[{"contact_name":"general contact","contact_email":"EditorPhosphoSite@cellsignal.com"}],"homepage":"http://www.phosphosite.org","citations":[],"identifier":1801,"description":"PhosphoSite Plus provides extensive information on mammalian post-translational modifications (PTMs). The resource supersedes PhosphoSite a mammalian protein database that provides information about in vivo phosphorylation sites.","abbreviation":"PSP","data_curation":{"url":"http://www.phosphosite.org/staticCurationProcess.do","type":"manual/automated","notes":"Curation Process"},"support_links":[{"url":"http://www.phosphosite.org/staticContact.do","type":"Contact form"},{"url":"http://www.phosphosite.org/staticUsingPhosphosite.do","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"https://www.phosphosite.org/staticMotifAnalysis.action","name":"Motif Analysis"},{"url":"https://www.phosphosite.org/sequenceLogoAction.action","name":"Sequence Logo Analysis"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000261","bsg-d000261"],"name":"FAIRsharing record for: PhosphoSite Plus","abbreviation":"PSP","url":"https://fairsharing.org/10.25504/FAIRsharing.x8xt3k","doi":"10.25504/FAIRsharing.x8xt3k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhosphoSite Plus provides extensive information on mammalian post-translational modifications (PTMs). The resource supersedes PhosphoSite a mammalian protein database that provides information about in vivo phosphorylation sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Proteomics","Life Science"],"domains":["Molecular structure","Phosphorylation","Signaling","Small molecule","Structure","Protein"],"taxonomies":["Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":313,"pubmed_id":12478304,"title":"The Molecule Pages database.","year":2002,"url":"http://doi.org/10.1038/nature01307","authors":"Li J., Ning Y., Hedley W., Saunders B., Chen Y., Tindill N., Hannay T., Subramaniam S.,","journal":"Nature","doi":"10.1038/nature01307","created_at":"2021-09-30T08:22:53.582Z","updated_at":"2021-09-30T08:22:53.582Z"},{"id":1589,"pubmed_id":15174125,"title":"PhosphoSite: A bioinformatics resource dedicated to physiological protein phosphorylation.","year":2004,"url":"http://doi.org/10.1002/pmic.200300772","authors":"Hornbeck PV,Chabra I,Kornhauser JM,Skrzypek E,Zhang B","journal":"Proteomics","doi":"10.1002/pmic.200300772","created_at":"2021-09-30T08:25:18.178Z","updated_at":"2021-09-30T08:25:18.178Z"},{"id":1633,"pubmed_id":25514926,"title":"PhosphoSitePlus, 2014: mutations, PTMs and recalibrations.","year":2014,"url":"http://doi.org/10.1093/nar/gku1267","authors":"Hornbeck PV,Zhang B,Murray B,Kornhauser JM,Latham V,Skrzypek E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1267","created_at":"2021-09-30T08:25:22.958Z","updated_at":"2021-09-30T11:29:17.354Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":301,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":295,"relation":"undefined"},{"licence_name":"PhosphoSitePlus Privacy Policy","licence_id":665,"licence_url":"http://www.phosphosite.org/staticPrivacyCookiePolicy.action","link_id":300,"relation":"undefined"}],"grants":[{"id":803,"fairsharing_record_id":1801,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:24:44.657Z","updated_at":"2021-09-30T09:24:44.657Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":802,"fairsharing_record_id":1801,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:24:44.615Z","updated_at":"2021-09-30T09:30:54.741Z","grant_id":932,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"R44AA014848","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":805,"fairsharing_record_id":1801,"organisation_id":402,"relation":"funds","created_at":"2021-09-30T09:24:44.748Z","updated_at":"2021-09-30T09:24:44.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":402,"name":"Cell Signaling Technology (CST), Danvers, MA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":806,"fairsharing_record_id":1801,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:24:44.791Z","updated_at":"2021-09-30T09:24:44.791Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":807,"fairsharing_record_id":1801,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:24:44.826Z","updated_at":"2021-09-30T09:29:06.734Z","grant_id":98,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"R44CA126080","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":804,"fairsharing_record_id":1801,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:44.708Z","updated_at":"2021-09-30T09:31:45.318Z","grant_id":1312,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R43GM065768-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1802","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:36:29.663Z","metadata":{"doi":"10.25504/FAIRsharing.ac329k","name":"The Autism Chromosome Rearrangement Database","status":"ready","contacts":[{"contact_name":"Christian Marshal","contact_email":"crm@sickkids.ca"}],"homepage":"http://projects.tcag.ca/autism","identifier":1802,"description":"The Autism Chromosome Rearrangement Database is a collection of hand curated breakpoints and other genomic features, related to autism, taken from publicly available literature, databases and unpublished data.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://projects.tcag.ca/autism/XuJie-MS.pdf","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012092","name":"re3data:r3d100012092","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006474","name":"SciCrunch:RRID:SCR_006474","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000262","bsg-d000262"],"name":"FAIRsharing record for: The Autism Chromosome Rearrangement Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ac329k","doi":"10.25504/FAIRsharing.ac329k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Autism Chromosome Rearrangement Database is a collection of hand curated breakpoints and other genomic features, related to autism, taken from publicly available literature, databases and unpublished data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["Expression data","Autistic disorder","Genetic polymorphism","DNA microarray","Disease phenotype","Genome","Chromosomal aberration","Karyotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1102,"pubmed_id":18252227,"title":"Structural variation of chromosomes in autism spectrum disorder.","year":2008,"url":"http://doi.org/10.1016/j.ajhg.2007.12.009","authors":"Marshall CR. et al.","journal":"Am. J. Hum. Genet.","doi":"10.1016/j.ajhg.2007.12.009","created_at":"2021-09-30T08:24:21.998Z","updated_at":"2021-09-30T08:24:21.998Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1216,"relation":"undefined"}],"grants":[{"id":808,"fairsharing_record_id":1802,"organisation_id":1805,"relation":"funds","created_at":"2021-09-30T09:24:44.865Z","updated_at":"2021-09-30T09:24:44.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":1805,"name":"McLaughlin Centre, University of Toronto, Canada","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":809,"fairsharing_record_id":1802,"organisation_id":455,"relation":"maintains","created_at":"2021-09-30T09:24:44.907Z","updated_at":"2021-09-30T09:24:44.907Z","grant_id":null,"is_lead":false,"saved_state":{"id":455,"name":"Centre for Applied Genomics, Toronto, ON, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":810,"fairsharing_record_id":1802,"organisation_id":455,"relation":"funds","created_at":"2021-09-30T09:24:44.949Z","updated_at":"2021-09-30T09:24:44.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":455,"name":"Centre for Applied Genomics, Toronto, ON, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1804","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:08.470Z","metadata":{"doi":"10.25504/FAIRsharing.a5zy4g","name":"Database of Arabidopsis Transcription Factors","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"datf@mail.cbi.pku.edu.cn"}],"homepage":"http://datf.cbi.pku.edu.cn","identifier":1804,"description":"The Database of Arabidopsis Transcription Factors (DATF) collects all Arabidopsis transcription factors (totally 1922 Loci; 2290 Gene Models) and classifies them into 64 families.The Version 2 of DATF was updated at July 2006. It is based on the Arabidopsis Sequence of TAIR, predicted Nuclear Location Signals, UniGene information, as well as links to literature reference.","abbreviation":"DATF","data_curation":{"type":"not found"},"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000264","bsg-d000264"],"name":"FAIRsharing record for: Database of Arabidopsis Transcription Factors","abbreviation":"DATF","url":"https://fairsharing.org/10.25504/FAIRsharing.a5zy4g","doi":"10.25504/FAIRsharing.a5zy4g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Arabidopsis Transcription Factors (DATF) collects all Arabidopsis transcription factors (totally 1922 Loci; 2290 Gene Models) and classifies them into 64 families.The Version 2 of DATF was updated at July 2006. It is based on the Arabidopsis Sequence of TAIR, predicted Nuclear Location Signals, UniGene information, as well as links to literature reference.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene model annotation","Biological regulation"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1117,"pubmed_id":15731212,"title":"DATF: a database of Arabidopsis transcription factors.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti334","authors":"Guo A., He K., Liu D., Bai S., Gu X., Wei L., Luo J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti334","created_at":"2021-09-30T08:24:23.766Z","updated_at":"2021-09-30T08:24:23.766Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":251,"relation":"undefined"}],"grants":[{"id":813,"fairsharing_record_id":1804,"organisation_id":1894,"relation":"funds","created_at":"2021-09-30T09:24:45.060Z","updated_at":"2021-09-30T09:24:45.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":1894,"name":"Monsanto","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":812,"fairsharing_record_id":1804,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:45.028Z","updated_at":"2021-09-30T09:24:45.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":814,"fairsharing_record_id":1804,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.084Z","updated_at":"2021-09-30T09:24:45.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1805","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-27T11:27:54.010Z","metadata":{"doi":"10.25504/FAIRsharing.d8j0eb","name":"Database of Rice Transcription Factors","status":"deprecated","contacts":[{"contact_email":"drtf@mail.cbi.pku.edu.cn"}],"homepage":"http://drtf.cbi.pku.edu.cn/","citations":[],"identifier":1805,"description":"DRTF contains 2025 putative transcription factors (TFs) in Oryza sativa L. ssp. indica and 2384 in ssp. japonica, distributed in 63 families, identified by computational prediction and manual curation. It includes detailed annotations of each TF including sequence features, functional domains, Gene Ontology assignment, chromosomal localization, EST and microarray expression information, as well as multiple sequence alignment of the DNA-binding domains for each TF family.","abbreviation":"DRTF","data_curation":{"type":"not found"},"year_creation":2005,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000265","bsg-d000265"],"name":"FAIRsharing record for: Database of Rice Transcription Factors","abbreviation":"DRTF","url":"https://fairsharing.org/10.25504/FAIRsharing.d8j0eb","doi":"10.25504/FAIRsharing.d8j0eb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DRTF contains 2025 putative transcription factors (TFs) in Oryza sativa L. ssp. indica and 2384 in ssp. japonica, distributed in 63 families, identified by computational prediction and manual curation. It includes detailed annotations of each TF including sequence features, functional domains, Gene Ontology assignment, chromosomal localization, EST and microarray expression information, as well as multiple sequence alignment of the DNA-binding domains for each TF family.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","Deoxyribonucleic acid","Biological regulation","Transcription factor","Curated information","Messenger RNA","Transcript","Life cycle"],"taxonomies":["Oryza sativa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1222,"pubmed_id":16551659,"title":"DRTF: a database of rice transcription factors.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl107","authors":"Gao G., Zhong Y., Guo A., Zhu Q., Tang W., Zheng W., Gu X., Wei L., Luo J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl107","created_at":"2021-09-30T08:24:36.183Z","updated_at":"2021-09-30T08:24:36.183Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":252,"relation":"undefined"}],"grants":[{"id":815,"fairsharing_record_id":1805,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.110Z","updated_at":"2021-09-30T09:24:45.110Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":816,"fairsharing_record_id":1805,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:45.139Z","updated_at":"2021-09-30T09:29:59.451Z","grant_id":502,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"90408015","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8229,"fairsharing_record_id":1805,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:38.940Z","updated_at":"2021-09-30T09:31:38.983Z","grant_id":1266,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"2003CB715900 (973)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1806","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-27T11:27:37.354Z","metadata":{"doi":"10.25504/FAIRsharing.sjk03h","name":"Ontology-based Knowledgebase for Cell Adhesion Molecules","status":"deprecated","contacts":[{"contact_email":"guhl@intra.nida.nih.gov"}],"homepage":"http://www.rhesusbase.org/drugDisc/CAM.jsp","citations":[],"identifier":1806,"description":"OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families.","abbreviation":"OKCAM","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2018-05-08","deprecation_reason":"Homepage (http://okcam.cbi.pku.edu.cn) states that the data within this database is now in RhesusBase (https://fairsharing.org/FAIRsharing.qkrmth) as this database is retired.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000266","bsg-d000266"],"name":"FAIRsharing record for: Ontology-based Knowledgebase for Cell Adhesion Molecules","abbreviation":"OKCAM","url":"https://fairsharing.org/10.25504/FAIRsharing.sjk03h","doi":"10.25504/FAIRsharing.sjk03h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Cell adhesion","Small molecule","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China","United States"],"publications":[{"id":278,"pubmed_id":18790807,"title":"OKCAM: an ontology-based, human-centered knowledgebase for cell adhesion molecules.","year":2008,"url":"http://doi.org/10.1093/nar/gkn568","authors":"Li CY., Liu QR., Zhang PW., Li XM., Wei L., Uhl GR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn568","created_at":"2021-09-30T08:22:49.990Z","updated_at":"2021-09-30T08:22:49.990Z"}],"licence_links":[],"grants":[{"id":817,"fairsharing_record_id":1806,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.182Z","updated_at":"2021-09-30T09:24:45.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1807","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-27T11:26:25.898Z","metadata":{"doi":"10.25504/FAIRsharing.ex3fqk","name":"Plant Transcription Factor Database","status":"ready","contacts":[{"contact_name":"Ge Gao","contact_email":"gaog@mail.cbi.pku.edu.cn"}],"homepage":"http://planttfdb.gao-lab.org/","citations":[{"doi":"10.1093/nar/gkw982","pubmed_id":null,"publication_id":1732}],"identifier":1807,"description":"Plant Transcription Factor Database (PlantTFDB) provides a resource of plant transcription factors (TFs), regulatory elements and interactions between them. In the latest version, It contains 320 370 TFs, classified into 58 families, from 165 species. Abundant functional and evolutionary annotations (e.g., GO, functional description, binding motifs, cis-element, regulation, references, orthologous groups and phylogenetic tree, etc.) are provided for identified TFs. In addition, multiple online tools are set up for TF identification, regulation prediction and functional enrichment analyses.","abbreviation":"PlantTFDB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"planttfdb@mail.cbi.pku.edu.cn","type":"Support email"},{"url":"http://planttfdb.cbi.pku.edu.cn/help.php","type":"Help documentation"},{"url":"http://plantregmap.cbi.pku.edu.cn/help.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011301","name":"re3data:r3d100011301","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003362","name":"SciCrunch:RRID:SCR_003362","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000267","bsg-d000267"],"name":"FAIRsharing record for: Plant Transcription Factor Database","abbreviation":"PlantTFDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ex3fqk","doi":"10.25504/FAIRsharing.ex3fqk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Plant Transcription Factor Database (PlantTFDB) provides a resource of plant transcription factors (TFs), regulatory elements and interactions between them. In the latest version, It contains 320 370 TFs, classified into 58 families, from 165 species. Abundant functional and evolutionary annotations (e.g., GO, functional description, binding motifs, cis-element, regulation, references, orthologous groups and phylogenetic tree, etc.) are provided for identified TFs. In addition, multiple online tools are set up for TF identification, regulation prediction and functional enrichment analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene Ontology enrichment","Annotation","Transcription factor binding site prediction","Binding site prediction","Biological regulation","Binding motif","Transcription factor","Gene regulatory element","Sequence motif"],"taxonomies":["Viridiplantae"],"user_defined_tags":["Transcription factor (TF) enrichment"],"countries":["China"],"publications":[{"id":1216,"pubmed_id":25750178,"title":"An Arabidopsis Transcriptional Regulatory Map Reveals Distinct Functional and Evolutionary Features of Novel Transcription Factors","year":2015,"url":"http://doi.org/10.1093/molbev/msv058","authors":"Jinpu Jin, Kun He, Xing Tang, Zhe Li, Le Lv, Yi Zhao, Jingchu Luo and Ge Gao","journal":"Molecular Biology and Evolution","doi":"10.1093/molbev/msv058","created_at":"2021-09-30T08:24:35.558Z","updated_at":"2021-09-30T08:24:35.558Z"},{"id":1242,"pubmed_id":24174544,"title":"PlantTFDB 3.0: a portal for the functional and evolutionary study of plant transcription factors","year":2013,"url":"http://doi.org/10.1093/nar/gkt1016","authors":"Jinpu Jin, He Zhang, Lei Kong, Ge Gao and Jingchu Luo","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1016","created_at":"2021-09-30T08:24:38.550Z","updated_at":"2021-09-30T08:24:38.550Z"},{"id":1732,"pubmed_id":null,"title":"PlantTFDB 4.0: toward a central hub for transcription factors and regulatory interactions in plants","year":2016,"url":"http://doi.org/10.1093/nar/gkw982","authors":"Jinpu Jin, Feng Tian, De-Chang Yang, Yu-Qi Meng, Lei Kong, Jingchu Luo and Ge Gao","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw982","created_at":"2021-09-30T08:25:34.147Z","updated_at":"2021-09-30T08:25:34.147Z"}],"licence_links":[],"grants":[{"id":820,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:45.277Z","updated_at":"2021-09-30T09:31:07.763Z","grant_id":1030,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2011CBA01102","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":819,"fairsharing_record_id":1807,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:45.253Z","updated_at":"2021-09-30T09:29:09.720Z","grant_id":119,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"31071160","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7911,"fairsharing_record_id":1807,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:29:40.342Z","updated_at":"2021-09-30T09:29:40.391Z","grant_id":353,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"31171242","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8382,"fairsharing_record_id":1807,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:23.059Z","updated_at":"2021-09-30T09:32:23.114Z","grant_id":1595,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"1470330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8418,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:33.219Z","updated_at":"2021-09-30T09:32:33.268Z","grant_id":1671,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2009FY120100","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8457,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:43.594Z","updated_at":"2021-09-30T09:32:43.648Z","grant_id":1750,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2006AA02Z334","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":818,"fairsharing_record_id":1807,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:24:45.220Z","updated_at":"2024-01-27T11:25:50.104Z","grant_id":null,"is_lead":true,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8134,"fairsharing_record_id":1807,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:08.239Z","updated_at":"2021-09-30T09:31:08.296Z","grant_id":1034,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2012AA020409","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1808","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:08.641Z","metadata":{"doi":"10.25504/FAIRsharing.32zwmn","name":"reactive oxygen species-mediated signaling pathway database","status":"deprecated","contacts":[{"contact_name":"Kong-Joo Lee","contact_email":"kjl@ewha.ac.kr"}],"homepage":"http://rospath.ewha.ac.kr/","identifier":1808,"description":"ROSPath was developed for the purpose of aiding the research of ROS-mediated signaling pathways including growth factor-, stress- and cytokine-induced signaling that are main research interests of the Division of Molecular Life Sciences and Center for Cell Signaling Research in Ewha Womans University. This record is labelled as uncertain as the homepage for this resource appears to be offline.","abbreviation":"ROSPath","data_curation":{"type":"not found"},"year_creation":2004,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000268","bsg-d000268"],"name":"FAIRsharing record for: reactive oxygen species-mediated signaling pathway database","abbreviation":"ROSPath","url":"https://fairsharing.org/10.25504/FAIRsharing.32zwmn","doi":"10.25504/FAIRsharing.32zwmn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ROSPath was developed for the purpose of aiding the research of ROS-mediated signaling pathways including growth factor-, stress- and cytokine-induced signaling that are main research interests of the Division of Molecular Life Sciences and Center for Cell Signaling Research in Ewha Womans University. This record is labelled as uncertain as the homepage for this resource appears to be offline.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":327,"pubmed_id":15289508,"title":"Multi-layered representation for cell signaling pathways.","year":2004,"url":"http://doi.org/10.1074/mcp.M400039-MCP200","authors":"Paek E., Park J., Lee KJ.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M400039-MCP200","created_at":"2021-09-30T08:22:55.101Z","updated_at":"2021-09-30T08:22:55.101Z"}],"licence_links":[],"grants":[{"id":821,"fairsharing_record_id":1808,"organisation_id":974,"relation":"maintains","created_at":"2021-09-30T09:24:45.306Z","updated_at":"2021-09-30T09:24:45.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":974,"name":"Ewha Womans University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1810","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T07:58:11.962Z","metadata":{"doi":"10.25504/FAIRsharing.x16th8","name":"RTPrimerDB","status":"deprecated","contacts":[{"contact_email":"rtprimerdb@medgen.ugent.be"}],"homepage":"http://medgen.ugent.be/rtprimerdb/","citations":[],"identifier":1810,"description":"RTPrimerDB is a public database for primer and probe sequences used in real-time PCR assays employing popular chemistries (SYBR Green I, Taqman, Hybridisation Probes, Molecular Beacon) to prevent time-consuming primer design and experimental optimisation, and to introduce a certain level of uniformity and standardisation among different laboratories.","abbreviation":"RTPrimerDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://medgen.ugent.be/rtprimerdb/index.php?faq","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and the developers have confirmed that this record should be deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000270","bsg-d000270"],"name":"FAIRsharing record for: RTPrimerDB","abbreviation":"RTPrimerDB","url":"https://fairsharing.org/10.25504/FAIRsharing.x16th8","doi":"10.25504/FAIRsharing.x16th8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RTPrimerDB is a public database for primer and probe sequences used in real-time PCR assays employing popular chemistries (SYBR Green I, Taqman, Hybridisation Probes, Molecular Beacon) to prevent time-consuming primer design and experimental optimisation, and to introduce a certain level of uniformity and standardisation among different laboratories.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12630}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","Polymerase Chain Reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":322,"pubmed_id":17068075,"title":"qPrimerDepot: a primer database for quantitative real time PCR.","year":2006,"url":"http://doi.org/10.1093/nar/gkl767","authors":"Cui W., Taub DD., Gardner K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl767","created_at":"2021-09-30T08:22:54.574Z","updated_at":"2021-09-30T08:22:54.574Z"}],"licence_links":[],"grants":[{"id":824,"fairsharing_record_id":1810,"organisation_id":428,"relation":"maintains","created_at":"2021-09-30T09:24:45.401Z","updated_at":"2021-09-30T09:24:45.401Z","grant_id":null,"is_lead":false,"saved_state":{"id":428,"name":"Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1796","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:46.467Z","metadata":{"doi":"10.25504/FAIRsharing.vs7865","name":"The Cambridge Structural Database","status":"ready","contacts":[{"contact_name":"Support Email","contact_email":"support@ccdc.cam.ac.uk","contact_orcid":"0000-0002-6062-7492"}],"homepage":"http://www.ccdc.cam.ac.uk/solutions/csd-system/components/csd/","citations":[{"doi":"10.1107/S2052520616003954","pubmed_id":27048719,"publication_id":771}],"identifier":1796,"description":"Established in 1965, the Cambridge Structural Database (CSD) is the a repository for small-molecule organic and metal-organic crystal 3D structures. Database records are automatically checked and manually curated by one of our expert in-house scientific editors. Every structure is enriched with chemical representations, as well as bibliographic, chemical and physical property information, adding further value to the raw structural data.","abbreviation":"CSD","data_curation":{"url":"https://www.ccdc.cam.ac.uk/support-and-resources/support/case/?caseid=c8bedd1f-6529-e911-b7b3-005056975d8a","type":"manual/automated","notes":"The curation software checks information in certain CIF fields, and all entries are manually curated."},"support_links":[{"url":"https://www.ccdc.cam.ac.uk/Community/blog/tags/CSD","name":"CCDC Blog","type":"Blog/News"},{"url":"https://www.ccdc.cam.ac.uk/support-and-resources/ccdcresources/CSDC-Access-Structures.pdf","name":"Search Help","type":"Help documentation"},{"url":"https://www.ccdc.cam.ac.uk/support-and-resources/ccdcresources/?ResourceType=\u0026Category=\u0026Product=0b7591ad-2201-e411-99f5-00505686f06e","name":"CSD Documentation","type":"Help documentation"},{"url":"https://www.ccdc.cam.ac.uk/CCDCStats/","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/ccdc_cambridge","name":"@ccdc_cambridge","type":"Twitter"}],"year_creation":1965,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010197","name":"re3data:r3d100010197","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007310","name":"SciCrunch:RRID:SCR_007310","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ccdc.cam.ac.uk/structures/access-structures-information","type":"partially open","notes":"A licence may be required to access a certain amount of curated data."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ccdc.cam.ac.uk/deposit/upload","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000256","bsg-d000256"],"name":"FAIRsharing record for: The Cambridge Structural Database","abbreviation":"CSD","url":"https://fairsharing.org/10.25504/FAIRsharing.vs7865","doi":"10.25504/FAIRsharing.vs7865","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Established in 1965, the Cambridge Structural Database (CSD) is the a repository for small-molecule organic and metal-organic crystal 3D structures. Database records are automatically checked and manually curated by one of our expert in-house scientific editors. Every structure is enriched with chemical representations, as well as bibliographic, chemical and physical property information, adding further value to the raw structural data.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10936},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11769},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12627},{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18427}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Organic Chemistry","Biochemistry","Organic Molecular Chemistry","Chemistry"],"domains":["Molecular structure","Protein structure","Atomic coordinate","X-ray diffraction","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":660,"pubmed_id":12037359,"title":"The Cambridge Structural Database: a quarter of a million crystal structures and rising","year":2002,"url":"http://doi.org/10.1107/s0108768102003890","authors":"F. H. Allen","journal":"Acta Crystallographica Section B","doi":"10.1107/S0108768102003890","created_at":"2021-09-30T08:23:32.852Z","updated_at":"2021-09-30T08:23:32.852Z"},{"id":771,"pubmed_id":27048719,"title":"The Cambridge Structural Database.","year":2016,"url":"http://doi.org/10.1107/S2052520616003954","authors":"Groom CR,Bruno IJ,Lightfoot MP,Ward SC","journal":"Acta Crystallogr B Struct Sci Cryst Eng Mater","doi":"10.1107/S2052520616003954","created_at":"2021-09-30T08:23:44.970Z","updated_at":"2021-09-30T08:23:44.970Z"}],"licence_links":[{"licence_name":"CSD Terms and Conditions","licence_id":206,"licence_url":"https://www.ccdc.cam.ac.uk/access-structures-terms/","link_id":2330,"relation":"undefined"}],"grants":[{"id":790,"fairsharing_record_id":1796,"organisation_id":348,"relation":"maintains","created_at":"2021-09-30T09:24:44.176Z","updated_at":"2021-09-30T09:24:44.176Z","grant_id":null,"is_lead":true,"saved_state":{"id":348,"name":"Cambridge Crystallographic Data Centre (CCDC), Cambridge, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1797","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.243Z","metadata":{"doi":"10.25504/FAIRsharing.29qx34","name":"BloodExpress","status":"deprecated","contacts":[{"contact_name":"Diego Miranda-Saavedra","contact_email":"dm435@cam.ac.uk"}],"homepage":"http://hscl.cimr.cam.ac.uk/bloodexpress/","identifier":1797,"description":"BloodExpress is a database of gene expression in mouse haematopoiesis has 271 individual microarray experiments derived from 15 distinct studies done on most characterised mouse blood cell types. Gene expression information has been discretised to absent/present/unknown calls.","abbreviation":"BloodExpress","data_curation":{"type":"not found"},"year_creation":2007,"data_versioning":"not found","deprecation_date":"2020-11-19","deprecation_reason":"This resource is no longer maintained, and its homepage is now broken.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000257","bsg-d000257"],"name":"FAIRsharing record for: BloodExpress","abbreviation":"BloodExpress","url":"https://fairsharing.org/10.25504/FAIRsharing.29qx34","doi":"10.25504/FAIRsharing.29qx34","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BloodExpress is a database of gene expression in mouse haematopoiesis has 271 individual microarray experiments derived from 15 distinct studies done on most characterised mouse blood cell types. Gene expression information has been discretised to absent/present/unknown calls.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","Cell","Stem cell","Gene expression","Hematopoiesis","DNA microarray","Blood"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1015,"pubmed_id":18987008,"title":"BloodExpress: a database of gene expression in mouse haematopoiesis.","year":2008,"url":"http://doi.org/10.1093/nar/gkn854","authors":"Miranda-Saavedra D,De S,Trotter MW,Teichmann SA,Gottgens B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn854","created_at":"2021-09-30T08:24:12.378Z","updated_at":"2021-09-30T11:28:56.809Z"}],"licence_links":[],"grants":[{"id":793,"fairsharing_record_id":1797,"organisation_id":349,"relation":"maintains","created_at":"2021-09-30T09:24:44.260Z","updated_at":"2021-09-30T09:24:44.260Z","grant_id":null,"is_lead":false,"saved_state":{"id":349,"name":"Cambridge Institute for Medical Research, University of Cambridge","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":791,"fairsharing_record_id":1797,"organisation_id":1709,"relation":"funds","created_at":"2021-09-30T09:24:44.200Z","updated_at":"2021-09-30T09:24:44.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":1709,"name":"Leukemia and Lymphoma Society, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":792,"fairsharing_record_id":1797,"organisation_id":287,"relation":"funds","created_at":"2021-09-30T09:24:44.233Z","updated_at":"2021-09-30T09:24:44.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":287,"name":"Bloodwise, London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":794,"fairsharing_record_id":1797,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:44.298Z","updated_at":"2021-09-30T09:24:44.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1798","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:50:33.354Z","metadata":{"doi":"10.25504/FAIRsharing.krvr4","name":"Erythropoiesis Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"epodb@cbil.humgen.upenn.edu"}],"homepage":"http://www.cbil.upenn.edu/EpoDB/","identifier":1798,"description":"EpoDB (Erythropoiesis database) is a database of genes that relate to vertebrate red blood cells. It includes DNA sequence, structural features, protein information, gene expression information and transcription factor binding sites.","abbreviation":"EpoDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cbil.upenn.edu/EpoDB/release/version_2.2/epodb.html","type":"Help documentation"}],"year_creation":1996,"data_versioning":"not found","associated_tools":[{"url":"http://www.cbil.upenn.edu/EpoDB/release/version_2.2/blast.html","name":"BLAST"}],"data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000258","bsg-d000258"],"name":"FAIRsharing record for: Erythropoiesis Database","abbreviation":"EpoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.krvr4","doi":"10.25504/FAIRsharing.krvr4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EpoDB (Erythropoiesis database) is a database of genes that relate to vertebrate red blood cells. It includes DNA sequence, structural features, protein information, gene expression information and transcription factor binding sites.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12628}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Biological regulation","Gene feature","Transcription factor","Protein","Gene"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1062,"pubmed_id":9847180,"title":"EpoDB: a prototype database for the analysis of genes expressed during vertebrate erythropoiesis.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.200","authors":"Stoeckert CJ., Salas F., Brunk B., Overton GC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/27.1.200","created_at":"2021-09-30T08:24:17.606Z","updated_at":"2021-09-30T08:24:17.606Z"}],"licence_links":[],"grants":[{"id":795,"fairsharing_record_id":1798,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:24:44.340Z","updated_at":"2021-09-30T09:24:44.340Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":796,"fairsharing_record_id":1798,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:44.378Z","updated_at":"2021-09-30T09:31:18.443Z","grant_id":1111,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-RR04026-08","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1799","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:48.459Z","metadata":{"doi":"10.25504/FAIRsharing.3hrbfr","name":"Automatic molecular interaction predictions","status":"ready","contacts":[{"contact_name":"Jean-Christophe Aude","contact_email":"jean-christophe.aude@cea.fr","contact_orcid":"0000-0002-1755-7417"}],"homepage":"http://biodev.extra.cea.fr/interoporc/","identifier":1799,"description":"InteroPorc is an automatic prediction tool to infer protein-protein interaction networks. It is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8.","abbreviation":"InteroPorc","data_curation":{"type":"not found"},"support_links":[{"url":"michaut.bioinfo@gmail.com","type":"Support email"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000259","bsg-d000259"],"name":"FAIRsharing record for: Automatic molecular interaction predictions","abbreviation":"InteroPorc","url":"https://fairsharing.org/10.25504/FAIRsharing.3hrbfr","doi":"10.25504/FAIRsharing.3hrbfr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InteroPorc is an automatic prediction tool to infer protein-protein interaction networks. It is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Computational biological predictions","Protein interaction","Network model","Protein","Orthologous"],"taxonomies":["Arabidopsis thaliana","Drosophila melanogaster","Escherichia coli","Helicobacter pylori","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":301,"pubmed_id":18508856,"title":"InteroPORC: automated inference of highly conserved protein interaction networks.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn249","authors":"Michaut M., Kerrien S., Montecchi-Palazzi L., Chauvat F., Cassier-Chauvat C., Aude JC., Legrain P., Hermjakob H.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn249","created_at":"2021-09-30T08:22:52.449Z","updated_at":"2021-09-30T08:22:52.449Z"}],"licence_links":[],"grants":[{"id":797,"fairsharing_record_id":1799,"organisation_id":1693,"relation":"maintains","created_at":"2021-09-30T09:24:44.415Z","updated_at":"2021-09-30T09:24:44.415Z","grant_id":null,"is_lead":false,"saved_state":{"id":1693,"name":"LBI Team (CEA)","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":800,"fairsharing_record_id":1799,"organisation_id":1057,"relation":"funds","created_at":"2021-09-30T09:24:44.540Z","updated_at":"2021-09-30T09:24:44.540Z","grant_id":null,"is_lead":false,"saved_state":{"id":1057,"name":"French Alternative Energies and Atomic Energy Commission (CEA), Gif sur Yvette, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":798,"fairsharing_record_id":1799,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:44.457Z","updated_at":"2021-09-30T09:29:01.784Z","grant_id":62,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"Biosys06_134823 SULFIRHOM","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9293,"fairsharing_record_id":1799,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.334Z","updated_at":"2022-04-11T12:07:28.352Z","grant_id":676,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902 RII3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1837","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:23:00.148Z","metadata":{"doi":"10.25504/FAIRsharing.zjdfxz","name":"Gramene: A curated, open-source, integrated data resource for comparative functional genomics in plants","status":"ready","contacts":[{"contact_name":"The Gramene Project","contact_email":"gramene@gramene.org"}],"homepage":"http://www.gramene.org","citations":[{"doi":"10.1093/nar/gkx1111","pubmed_id":29165610,"publication_id":444}],"identifier":1837,"description":"Gramene's purpose is to provide added value to plant genomics data sets available within the public sector, which will facilitate researchers' ability to understand the plant genomes and take advantage of genomic sequence known in one species for identifying and understanding corresponding genes, pathways and phenotypes in other plant species. It represents a broad spectrum of species ranging from unicellular photo-autotrophs, algae, monocots, dicots and other important taxonomic clades. Within Plant Reactome, a database portal of Gramene, there are over 60 plant genomes as well as pathways for more than 80 species.","abbreviation":"Gramene","data_curation":{"url":"https://archive.gramene.org/db/help?state=display_topic_in_context\u0026topic_name=Gramene_Documentation\u0026sticky=0","type":"manual"},"support_links":[{"url":"http://www.gramene.org/db/help","name":"Help","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCMtmq20XMccsNUaACuqQJ-w","name":"Gramene YouTube Channel","type":"Video"},{"url":"https://twitter.com/GrameneDatabase","name":"@GrameneDatabase","type":"Twitter"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://ensembl.gramene.org/common/Tools/Blast?db=core","name":"BLAST"},{"url":"http://ensembl.gramene.org/Oryza_sativa/Tools/VEP?db=core","name":"Variant Effect Predictor"},{"url":"http://ensembl.gramene.org/hmmer/index.html","name":"HMMER"},{"url":"http://ensembl.gramene.org/biomart/martview/15e087eebdfcf6b8aea253bf840b6cca","name":"Biomart"},{"url":"http://ensembl.gramene.org/Oryza_sativa/Tools/AssemblyConverter?db=core","name":"Assembly converter"},{"url":"http://ensembl.gramene.org/Oryza_sativa/Tools/IDMapper?db=core","name":"ID History Converter"},{"url":"https://plantreactome.gramene.org","name":"Plant Reactome: A knowledgebase and resource for comparative plant pathway analysis"},{"url":"https://plantreactome.gramene.org/PathwayBrowser/#TOOL=AT","name":"Plant Reactome: Pathway analysis | OMICs data analysis | pathway comparison between species |pathway enrichment"},{"url":"https://plantreactome.gramene.org/PathwayBrowser/","name":"Plant Reactome: Pathway browser"},{"url":"https://plantreactome.gramene.org/ContentService/","name":"Plant Reactome: Content and RESTFul Service"},{"url":"http://www.gramene.org/ftp-download","name":"Gramene: Bulk download"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010856","name":"re3data:r3d100010856","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002829","name":"SciCrunch:RRID:SCR_002829","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.gramene.org/cite","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://archive.gramene.org/submission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000297","bsg-d000297"],"name":"FAIRsharing record for: Gramene: A curated, open-source, integrated data resource for comparative functional genomics in plants","abbreviation":"Gramene","url":"https://fairsharing.org/10.25504/FAIRsharing.zjdfxz","doi":"10.25504/FAIRsharing.zjdfxz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gramene's purpose is to provide added value to plant genomics data sets available within the public sector, which will facilitate researchers' ability to understand the plant genomes and take advantage of genomic sequence known in one species for identifying and understanding corresponding genes, pathways and phenotypes in other plant species. It represents a broad spectrum of species ranging from unicellular photo-autotrophs, algae, monocots, dicots and other important taxonomic clades. Within Plant Reactome, a database portal of Gramene, there are over 60 plant genomes as well as pathways for more than 80 species.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11057},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11617},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11870}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Epigenomics","Genomics","Structural Genomics","Phylogenomics","Comparative Genomics","Plant Genetics"],"domains":["Gene report","Genetic map","Nucleic acid sequence alignment","Gene name","Expression data","Nucleic acid sequence","DNA sequence data","RNA sequence","Gene Ontology enrichment","Sequence annotation","Multiple sequence alignment","Genomic assembly","Computational biological predictions","Gene prediction","Differential gene expression analysis","Gene functional annotation","Gene model annotation","Gene expression","Protein sequence identification","Genetic interaction","Gene feature","Sequence alignment","Genetic marker","Pathway model","Sequence","Sequence feature","Coding sequence","Gene","Mitochondrial sequence","Plastid sequence","Chloroplast sequence","Amino acid sequence","Genome","Sequence variant"],"taxonomies":["Algae","Amborella","Arabidopsis thaliana","Brachypodium dystachyon","Bryophyta","Coffea","Cyanobacteria","Dicotyledones","Embryophyta","Hordeum","Lycopodiopsida","Medicago truncatula","Monocotyledons","Oryza","Populus trichocarpa","Solanum lycopersicum","Solanum tuberosum","Triticum","Viridiplantae","Zea mays"],"user_defined_tags":["Genome-scale network","Metabolic pathway prediction profile","Pathway Diagram"],"countries":["United Kingdom","United States"],"publications":[{"id":176,"pubmed_id":30649295,"title":"Involving community in genes and pathway curation.","year":2019,"url":"http://doi.org/10.1093/database/bay146","authors":"Naithani S,Gupta P,Preece J,Garg P,Fraser V,Padgitt-Cobb LK,Martin M,Vining K,Jaiswal P","journal":"Database (Oxford)","doi":"10.1093/database/bay146","created_at":"2021-09-30T08:22:39.297Z","updated_at":"2021-09-30T08:22:39.297Z"},{"id":293,"pubmed_id":27799469,"title":"Plant Reactome: a resource for plant pathways and comparative analysis.","year":2016,"url":"http://doi.org/10.1093/nar/gkw932","authors":"Naithani S, Preece J, D'Eustachio P, Gupta P, Amarasinghe V, Dharmawardhana PD, Wu G, Fabregat A, Elser JL, Weiser J, Keays M, Fuentes AM, Petryszak R, Stein LD, Ware D, Jaiswal P.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw932","created_at":"2021-09-30T08:22:51.532Z","updated_at":"2021-09-30T08:22:51.532Z"},{"id":295,"pubmed_id":27987178,"title":"Variant Effect Prediction Analysis Using Resources Available at Gramene Database.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6658-5_17","authors":"Naithani S, Geniza M, Jaiswal P","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6658-5_17","created_at":"2021-09-30T08:22:51.749Z","updated_at":"2021-09-30T08:22:51.749Z"},{"id":363,"pubmed_id":31680153,"title":"Plant Reactome: a knowledgebase and resource for comparative pathway analysis.","year":2019,"url":"http://doi.org/10.1093/nar/gkz996","authors":"Naithani S,Gupta P,Preece J,D'Eustachio P,Elser JL,Garg P,Dikeman DA,Kiff J,Cook J,Olson A,Wei S,Tello-Ruiz MK,Mundo AF,Munoz-Pomer A,Mohammed S,Cheng T,Bolton E,Papatheodorou I,Stein L,Ware D,Jaiswal P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz996","created_at":"2021-09-30T08:22:58.989Z","updated_at":"2021-09-30T11:28:45.891Z"},{"id":382,"pubmed_id":29165655,"title":"Expression Atlas: gene and protein expression across multiple studies and organisms.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1158","authors":"Papatheodorou I,Fonseca NA,Keays M,Tang YA,Barrera E,Bazant W,Burke M,Fullgrabe A,Fuentes AM,George N,Huerta L,Koskinen S,Mohammed S,Geniza M,Preece J,Jaiswal P,Jarnuczak AF,Huber W,Stegle O,Vizcaino JA,Brazma A,Petryszak R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1158","created_at":"2021-09-30T08:23:01.406Z","updated_at":"2021-09-30T11:28:46.133Z"},{"id":444,"pubmed_id":29165610,"title":"Gramene 2018: unifying comparative genomics and pathway resources for plant research.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1111","authors":"Tello-Ruiz MK,Naithani S,Stein JC,Gupta P,Campbell M,Wei S,Preece J,Geniza MJ,Jiao Y,Lee YK,Wang B,Mulvaney J,Chougule K,Elser J,Al-Bader N,Kumari S,Bolser DM,Naamati G,Huerta L,Keays M,D'Eustachio P,Stein LD,Papatheodorou I,Taylor C,Jaiswal P,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1111","created_at":"2021-09-30T08:23:08.181Z","updated_at":"2021-09-30T11:28:46.609Z"},{"id":447,"pubmed_id":30239679,"title":"AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.","year":2018,"url":"http://doi.org/10.1093/database/bay088","authors":"AgBioData consortium","journal":"Database (Oxford)","doi":"10.1093/database/bay088","created_at":"2021-09-30T08:23:08.533Z","updated_at":"2021-09-30T08:23:08.533Z"},{"id":478,"pubmed_id":27987175,"title":"Pathway Analysis and Omics Data Visualization Using Pathway Genome Databases: FragariaCyc, a Case Study.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6658-5_14","authors":"Naithani S,Jaiswal P","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6658-5_14","created_at":"2021-09-30T08:23:11.943Z","updated_at":"2021-09-30T08:23:11.943Z"},{"id":1050,"pubmed_id":26553803,"title":"Gramene 2016: comparative plant genomics and pathway resources.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1179","authors":"Tello-Ruiz MK,Stein J,Wei S et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1179","created_at":"2021-09-30T08:24:16.262Z","updated_at":"2021-09-30T11:28:57.475Z"},{"id":1081,"pubmed_id":31598706,"title":"Ensembl Genomes 2020-enabling non-vertebrate genomic research.","year":2019,"url":"http://doi.org/10.1093/nar/gkz890","authors":"Howe KL et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz890","created_at":"2021-09-30T08:24:19.787Z","updated_at":"2021-09-30T11:28:56.442Z"},{"id":2581,"pubmed_id":21076153,"title":"Gramene database in 2010: updates and extensions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1148","authors":"Youens-Clark K., Buckler E., Casstevens T., Chen C., Declerck G., Derwent P., Dharmawardhana P., Jaiswal P., Kersey P., Karthikeyan AS., Lu J., McCouch SR., Ren L., Spooner W., Stein JC., Thomason J., Wei S., Ware D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1148","created_at":"2021-09-30T08:27:16.494Z","updated_at":"2021-09-30T08:27:16.494Z"},{"id":2612,"pubmed_id":17984077,"title":"Gramene: a growing plant comparative genomics resource.","year":2007,"url":"http://doi.org/10.1093/nar/gkm968","authors":"Liang C., Jaiswal P., Hebbard C., Avraham S., Buckler ES., Casstevens T., Hurwitz B., McCouch S., Ni J., Pujar A., Ravenscroft D., Ren L., Spooner W., Tecle I., Thomason J., Tung CW., Wei X., Yap I., Youens-Clark K., Ware D., Stein L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm968","created_at":"2021-09-30T08:27:20.638Z","updated_at":"2021-09-30T08:27:20.638Z"},{"id":2774,"pubmed_id":28713666,"title":"Gramene Database: Navigating Plant Comparative Genomics Resources.","year":2017,"url":"http://doi.org/10.1016/j.cpb.2016.12.005","authors":"Gupta P,Naithani S,Tello-Ruiz MK,Chougule K,D'Eustachio P,Fabregat A,Jiao Y,Keays M,Lee YK,Kumari S,Mulvaney J,Olson A,Preece J,Stein J,Wei S,Weiser J,Huerta L,Petryszak R,Kersey P,Stein LD,Ware D,Jaiswal P","journal":"Curr Plant Biol","doi":"10.1016/j.cpb.2016.12.005","created_at":"2021-09-30T08:27:40.996Z","updated_at":"2021-09-30T08:27:40.996Z"},{"id":2775,"pubmed_id":33170273,"title":"Gramene 2021: harnessing the power of comparative genomics and pathways for plant research.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa979","authors":"Tello-Ruiz MK,Naithani S,Gupta P,Olson A,Wei S,Preece J,Jiao Y,Wang B,Chougule K,Garg P,Elser J,Kumari S,Kumar V, George N,Cook J,Bolser D,D'Eustachio P,Stein LD,Gupta A,Xu W, Papatheodorou I,Kersey PJ,Flicek P,Taylor C,Jaiswal P,Ware D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa979","created_at":"2021-09-30T08:27:41.161Z","updated_at":"2021-09-30T11:29:43.862Z"}],"licence_links":[{"licence_name":"Gramene Copyright Statement","licence_id":364,"licence_url":"http://www.gramene.org/node/225","link_id":1309,"relation":"undefined"}],"grants":[{"id":881,"fairsharing_record_id":1837,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:47.636Z","updated_at":"2021-09-30T09:24:47.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7992,"fairsharing_record_id":1837,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:30:17.310Z","updated_at":"2021-09-30T09:30:17.360Z","grant_id":639,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"58-1907-0-041","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8133,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:07.889Z","updated_at":"2021-09-30T09:31:07.950Z","grant_id":1031,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1127112","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":882,"fairsharing_record_id":1837,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:47.669Z","updated_at":"2021-09-30T09:24:47.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":885,"fairsharing_record_id":1837,"organisation_id":548,"relation":"maintains","created_at":"2021-09-30T09:24:47.776Z","updated_at":"2021-09-30T09:24:47.776Z","grant_id":null,"is_lead":true,"saved_state":{"id":548,"name":"Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":883,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:47.708Z","updated_at":"2021-09-30T09:29:35.763Z","grant_id":317,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0321685","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":884,"fairsharing_record_id":1837,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:47.739Z","updated_at":"2021-09-30T09:29:54.712Z","grant_id":464,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"00-52100-9622","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8212,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:34.423Z","updated_at":"2021-09-30T09:31:34.476Z","grant_id":1231,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0851652","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8397,"fairsharing_record_id":1837,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:27.009Z","updated_at":"2021-09-30T09:32:27.057Z","grant_id":1625,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0703908","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1833","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:20.421Z","metadata":{"doi":"10.25504/FAIRsharing.5125qd","name":"FireDB","status":"ready","contacts":[{"contact_name":"Paolo Maietta","contact_email":"pmaietta@cnio.es"}],"homepage":"http://firedb.bioinfo.cnio.es/","identifier":1833,"description":"fireDB is a database of Protein Data Bank structures, ligands and annotated functional site residues. The database can be accessed by PDB codes or UniProt accession numbers as well as keywords.","abbreviation":"FireDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://firedb.bioinfo.cnio.es/Php/Help.php","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000293","bsg-d000293"],"name":"FAIRsharing record for: FireDB","abbreviation":"FireDB","url":"https://fairsharing.org/10.25504/FAIRsharing.5125qd","doi":"10.25504/FAIRsharing.5125qd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: fireDB is a database of Protein Data Bank structures, ligands and annotated functional site residues. The database can be accessed by PDB codes or UniProt accession numbers as well as keywords.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Annotation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":348,"pubmed_id":17132832,"title":"FireDB--a database of functionally important residues from proteins of known structure.","year":2006,"url":"http://doi.org/10.1093/nar/gkl897","authors":"Lopez G., Valencia A., Tress M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl897","created_at":"2021-09-30T08:22:57.474Z","updated_at":"2021-09-30T08:22:57.474Z"},{"id":1296,"pubmed_id":24243844,"title":"FireDB: a compendium of biological and pharmacologically relevant ligands.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1127","authors":"Maietta P,Lopez G,Carro A,Pingilley BJ,Leon LG,Valencia A,Tress ML","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1127","created_at":"2021-09-30T08:24:44.673Z","updated_at":"2021-09-30T11:29:05.467Z"}],"licence_links":[],"grants":[{"id":874,"fairsharing_record_id":1833,"organisation_id":2610,"relation":"funds","created_at":"2021-09-30T09:24:47.367Z","updated_at":"2021-09-30T09:24:47.367Z","grant_id":null,"is_lead":false,"saved_state":{"id":2610,"name":"Spanish National Cancer Research Centre (CNIO)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":873,"fairsharing_record_id":1833,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:47.287Z","updated_at":"2021-09-30T09:31:24.434Z","grant_id":1155,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2012-40205","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1834","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:02:46.342Z","metadata":{"doi":"10.25504/FAIRsharing.ntyq70","name":"The Carbohydrate-Active enZYmes Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"cazy@afmb.univ-mrs.fr"}],"homepage":"http://www.cazy.org/","identifier":1834,"description":"The CAZy database describes the families of structurally-related catalytic and carbohydrate-binding modules (or functional domains) of enzymes that degrade, modify, or create glycosidic bonds.","abbreviation":"CAZy","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.cazy.org/Help.html","type":"Help documentation"}],"year_creation":1998,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012321","name":"re3data:r3d100012321","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012909","name":"SciCrunch:RRID:SCR_012909","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.cazypedia.org/index.php/CAZypedia:About#Contributors","type":"controlled","notes":"Submitted data is assigned to a Responsible Curator based on particular expertise."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000294","bsg-d000294"],"name":"FAIRsharing record for: The Carbohydrate-Active enZYmes Database","abbreviation":"CAZy","url":"https://fairsharing.org/10.25504/FAIRsharing.ntyq70","doi":"10.25504/FAIRsharing.ntyq70","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CAZy database describes the families of structurally-related catalytic and carbohydrate-binding modules (or functional domains) of enzymes that degrade, modify, or create glycosidic bonds.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Carbohydrate","Polysaccharide","Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":24,"pubmed_id":18838391,"title":"The Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn663","authors":"Cantarel BL., Coutinho PM., Rancurel C., Bernard T., Lombard V., Henrissat B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn663","created_at":"2021-09-30T08:22:22.980Z","updated_at":"2021-09-30T08:22:22.980Z"},{"id":30,"pubmed_id":24270786,"title":"The carbohydrate-active enzymes database (CAZy) in 2013.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1178","authors":"Lombard V,Golaconda Ramulu H,Drula E,Coutinho PM,Henrissat B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1178","created_at":"2021-09-30T08:22:23.553Z","updated_at":"2021-09-30T11:28:41.575Z"}],"licence_links":[],"grants":[{"id":875,"fairsharing_record_id":1834,"organisation_id":1661,"relation":"maintains","created_at":"2021-09-30T09:24:47.409Z","updated_at":"2021-09-30T09:24:47.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":1661,"name":"Laboratoire Architecture et Fonction des Macromolecules Biologiques (AFMB), Marseille, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":876,"fairsharing_record_id":1834,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:47.451Z","updated_at":"2021-09-30T09:32:38.398Z","grant_id":1712,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-10-BINF-03-04","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1835","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:49.056Z","metadata":{"doi":"10.25504/FAIRsharing.csbxzs","name":"The Diatom EST Database","status":"ready","contacts":[{"contact_name":"Chris Bowler","contact_email":"cbowler@biologie.ens.fr"}],"homepage":"http://www.biologie.ens.fr/diatomics/EST3","identifier":1835,"description":"Diatoms are photosynthetic unicellular eukaryotes that play an essential role in marine ecosystems. On a global scale, they generate around one fifth of the oxygen we breathe. On this web site we present searchable databases of diatom ESTs (expressed sequence tags) that can be used to explore diatom biology.","abbreviation":null,"data_curation":{"type":"not found"},"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000295","bsg-d000295"],"name":"FAIRsharing record for: The Diatom EST Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.csbxzs","doi":"10.25504/FAIRsharing.csbxzs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Diatoms are photosynthetic unicellular eukaryotes that play an essential role in marine ecosystems. On a global scale, they generate around one fifth of the oxygen we breathe. On this web site we present searchable databases of diatom ESTs (expressed sequence tags) that can be used to explore diatom biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Messenger RNA"],"taxonomies":["Phaeodactylum tricornutum","Thalassiosira pseudonana"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":338,"pubmed_id":19029140,"title":"Update of the Diatom EST Database: a new tool for digital transcriptomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn905","authors":"Maheswari U., Mock T., Armbrust EV., Bowler C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn905","created_at":"2021-09-30T08:22:56.383Z","updated_at":"2021-09-30T08:22:56.383Z"},{"id":1611,"pubmed_id":15608213,"title":"The Diatom EST Database.","year":2004,"url":"http://doi.org/10.1093/nar/gki121","authors":"Maheswari U,Montsant A,Goll J,Krishnasamy S,Rajyashri KR,Patell VM,Bowler C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki121","created_at":"2021-09-30T08:25:20.558Z","updated_at":"2021-09-30T11:29:15.886Z"}],"licence_links":[{"licence_name":"Diatomics Data Policies and Disclaimer","licence_id":240,"licence_url":"http://www.diatomics.biologie.ens.fr/EST3/disclaimer.html","link_id":294,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":284,"relation":"undefined"}],"grants":[{"id":877,"fairsharing_record_id":1835,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:47.500Z","updated_at":"2021-09-30T09:24:47.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1838","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T18:02:29.234Z","metadata":{"doi":"10.25504/FAIRsharing.7hxxc4","name":"PhylomeDB","status":"ready","contacts":[{"contact_name":"Toni Gabaldon","contact_email":"toni.gabaldon@bsc.es"}],"homepage":"http://phylomedb.org","citations":[{"doi":"10.1093/nar/gkab966","pubmed_id":34718760,"publication_id":3126}],"identifier":1838,"description":"PhylomeDB is a unique knowledge base providing public access to minable and browsable catalogues of pre-computed, genome-wide collections of annotated sequences, alignments and phylogenies (i.e. phylomes) of homologous genes, as well as to their corresponding phylogeny-based orthology and paralogy relationships. In addition, PhylomeDB trees and alignments can be downloaded for further processing to detect and date gene duplication events, infer past events of inter-species hybridization and horizontal gene transfer, as well as to uncover footprints of selection, introgression, gene conversion, or other relevant evolutionary processes in the genes and organisms of interests. The v5 release also represents a significant core data expansion, with the database providing access to 534 phylomes, comprising over 8 million trees, and homology relationships for genes in over 6000 species. This makes PhylomeDB the largest and most comprehensive public repository of gene phylogenies ","abbreviation":"PhylomeDB","data_curation":{"url":"http://phylomedb.org/help","type":"automated"},"support_links":[{"url":"http://phylomedb.org/faq","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://phylomedb.org/help","name":"Help","type":"Help documentation"},{"url":"https://twitter.com/phylomedb","name":"@phylomedb","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000298","bsg-d000298"],"name":"FAIRsharing record for: PhylomeDB","abbreviation":"PhylomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.7hxxc4","doi":"10.25504/FAIRsharing.7hxxc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhylomeDB is a unique knowledge base providing public access to minable and browsable catalogues of pre-computed, genome-wide collections of annotated sequences, alignments and phylogenies (i.e. phylomes) of homologous genes, as well as to their corresponding phylogeny-based orthology and paralogy relationships. In addition, PhylomeDB trees and alignments can be downloaded for further processing to detect and date gene duplication events, infer past events of inter-species hybridization and horizontal gene transfer, as well as to uncover footprints of selection, introgression, gene conversion, or other relevant evolutionary processes in the genes and organisms of interests. The v5 release also represents a significant core data expansion, with the database providing access to 534 phylomes, comprising over 8 million trees, and homology relationships for genes in over 6000 species. This makes PhylomeDB the largest and most comprehensive public repository of gene phylogenies ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Phylogeny","Phylogenetics","Phylogenomics","Life Science"],"domains":["Protein name","Sequence similarity","Taxonomic classification","Gene functional annotation","Model organism","Proteome","Conserved region","Orthologous","Genome"],"taxonomies":["All"],"user_defined_tags":["phylome","phylogenetic tree"],"countries":["Spain"],"publications":[{"id":365,"pubmed_id":17962297,"title":"PhylomeDB: a database for genome-wide collections of gene phylogenies.","year":2007,"url":"http://doi.org/10.1093/nar/gkm899","authors":"Huerta-Cepas J., Bueno A., Dopazo J., Gabaldón T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm899","created_at":"2021-09-30T08:22:59.258Z","updated_at":"2021-09-30T08:22:59.258Z"},{"id":600,"pubmed_id":21075798,"title":"PhylomeDB v3.0: an expanding repository of genome-wide collections of trees, alignments and phylogeny-based orthology and paralogy predictions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1109","authors":"Huerta-Cepas J, Capella-Gutierrez S, Pryszcz LP, Denisov I, Kormes D, Marcet-Houben M, Gabaldón T. - See more at: http://www.biosharing.org/biodbcore-000611#sthash.SMMBBe07.dpuf","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1109","created_at":"2021-09-30T08:23:25.795Z","updated_at":"2021-09-30T08:23:25.795Z"},{"id":1606,"pubmed_id":24275491,"title":"PhylomeDB v4: zooming into the plurality of evolutionary histories of a genome.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1177","authors":"Huerta-Cepas J,Capella-Gutierrez S,Pryszcz LP,Marcet-Houben M,Gabaldon T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1177","created_at":"2021-09-30T08:25:20.051Z","updated_at":"2021-09-30T11:29:15.502Z"},{"id":3126,"pubmed_id":34718760,"title":"PhylomeDB V5: an expanding repository for genome-wide catalogues of annotated gene phylogenies.","year":2021,"url":"https://doi.org/10.1093/nar/gkab966","authors":"Fuentes D, Molina M, Chorostecki U, Capella-Gutiérrez S, Marcet-Houben M, Gabaldón T","journal":"Nucleic acids research","doi":"10.1093/nar/gkab966","created_at":"2021-11-03T15:02:44.379Z","updated_at":"2021-11-03T15:02:44.379Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Generic (CC BY-NC-SA 2.0)","licence_id":179,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/2.0/","link_id":2462,"relation":"applies_to_content"}],"grants":[{"id":889,"fairsharing_record_id":1838,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:24:47.947Z","updated_at":"2021-09-30T09:30:02.255Z","grant_id":524,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"FP/2007-2013/ERC","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8511,"fairsharing_record_id":1838,"organisation_id":1392,"relation":"maintains","created_at":"2021-10-11T12:13:57.333Z","updated_at":"2021-10-11T12:13:57.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":1392,"name":"Institute for Research in Biomedicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":888,"fairsharing_record_id":1838,"organisation_id":2387,"relation":"funds","created_at":"2021-09-30T09:24:47.903Z","updated_at":"2021-09-30T09:30:19.347Z","grant_id":656,"is_lead":false,"saved_state":{"id":2387,"name":"Qatar National Research Fund","grant":"NPRP 5-298-3-086","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":886,"fairsharing_record_id":1838,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:47.819Z","updated_at":"2021-09-30T09:31:15.125Z","grant_id":1087,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2012-37161","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8241,"fairsharing_record_id":1838,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:31:41.782Z","updated_at":"2021-09-30T09:31:41.831Z","grant_id":1287,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"ERC-2012-StG-310325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8510,"fairsharing_record_id":1838,"organisation_id":167,"relation":"maintains","created_at":"2021-10-11T12:13:57.307Z","updated_at":"2021-10-11T12:13:57.307Z","grant_id":null,"is_lead":false,"saved_state":{"id":167,"name":"Barcelona Supercomputing Center (BSC), Barcelona, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1839","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:10.620Z","metadata":{"doi":"10.25504/FAIRsharing.k4sp7m","name":"PDB-REPRDB","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"papia-help@cbrc.jp"}],"homepage":"http://mbs.cbrc.jp/pdbreprdb-cgi/reprdb_menu.pl","identifier":1839,"description":"PDB-REPRDB is a reorganized database of protein chains from PDB(Protein Data Bank), and provides 'the list of the representative protein chains' and 'the list of similar protein chain groups'.","abbreviation":"PDB-REPRDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://mbs.cbrc.jp/pdbreprdb/howtouse/howtouse_pdbreprdb_dynamic.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000299","bsg-d000299"],"name":"FAIRsharing record for: PDB-REPRDB","abbreviation":"PDB-REPRDB","url":"https://fairsharing.org/10.25504/FAIRsharing.k4sp7m","doi":"10.25504/FAIRsharing.k4sp7m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDB-REPRDB is a reorganized database of protein chains from PDB(Protein Data Bank), and provides 'the list of the representative protein chains' and 'the list of similar protein chain groups'.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12634}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":360,"pubmed_id":12520060,"title":"PDB-REPRDB: a database of representative protein chains from the Protein Data Bank (PDB) in 2003.","year":2003,"url":"http://doi.org/10.1093/nar/gkg022","authors":"Noguchi T., Akiyama Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg022","created_at":"2021-09-30T08:22:58.707Z","updated_at":"2021-09-30T08:22:58.707Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":297,"relation":"undefined"}],"grants":[{"id":890,"fairsharing_record_id":1839,"organisation_id":2007,"relation":"funds","created_at":"2021-09-30T09:24:47.971Z","updated_at":"2021-09-30T09:24:47.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1840","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-09T09:35:40.732Z","metadata":{"doi":"10.25504/FAIRsharing.391trx","name":"Plant Genome Network","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"sgn-feedback@sgn.cornell.edu"}],"homepage":"http://pgn.cornell.edu/","citations":[],"identifier":1840,"description":"PGN is a repository for plant EST sequence data located at Cornell. It comprises an analysis pipeline and a website, and presently contains mainly data from the Floral Genome Project.","abbreviation":"PGN","data_curation":{"type":"not found"},"support_links":[{"url":"http://pgn.cornell.edu/help/","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://pgn.cornell.edu/blast/blast_search.pl","name":"BLAST"}],"deprecation_date":"2015-11-17","deprecation_reason":"This resource is no longer actively maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000300","bsg-d000300"],"name":"FAIRsharing record for: Plant Genome Network","abbreviation":"PGN","url":"https://fairsharing.org/10.25504/FAIRsharing.391trx","doi":"10.25504/FAIRsharing.391trx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PGN is a repository for plant EST sequence data located at Cornell. It comprises an analysis pipeline and a website, and presently contains mainly data from the Floral Genome Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":891,"fairsharing_record_id":1840,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:48.002Z","updated_at":"2021-09-30T09:24:48.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1197","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-18T08:39:46.322Z","metadata":{"doi":"10.25504/FAIRsharing.4c0b6b","name":"UBER anatomy ONtology","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov"}],"homepage":"http://uberon.org/","citations":[{"doi":"10.1186/gb-2012-13-1-r5","pubmed_id":22293552,"publication_id":933}],"identifier":1197,"description":"Uberon is an integrated cross-species anatomy ontology covering animals and bridging multiple species-specific ontologies. It represents a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data.","abbreviation":"UBERON","support_links":[{"url":"https://github.com/obophenotype/uberon/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"obo-anatomy@lists.sourceforge.net","name":"OBO Anatomy Mailing List","type":"Mailing list"},{"url":"https://github.com/obophenotype/uberon","name":"GitHub Repository","type":"Github"},{"url":"https://github.com/obophenotype/uberon/wiki/Manual","name":"User Manual","type":"Github"},{"url":"https://twitter.com/uberanat","name":"@uberanat","type":"Twitter"},{"url":"http://en.wikipedia.org/wiki/Uberon","name":"UBERON Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012,"associated_tools":[{"url":"http://uberon.github.io/browse/phenoscape.html","name":"Phenoscape"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/UBERON","name":"UBERON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/uberon.html","name":"uberon","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000016","bsg-s000016"],"name":"FAIRsharing record for: UBER anatomy ONtology","abbreviation":"UBERON","url":"https://fairsharing.org/10.25504/FAIRsharing.4c0b6b","doi":"10.25504/FAIRsharing.4c0b6b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Uberon is an integrated cross-species anatomy ontology covering animals and bridging multiple species-specific ontologies. It represents a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18260},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17571},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11818},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12086},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12228},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13197},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13235}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Taxonomy","Developmental Biology","Life Science"],"domains":[],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":741,"pubmed_id":25009735,"title":"Unification of multi-species vertebrate anatomy ontologies for comparative biology in Uberon","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-21","authors":"Melissa A Haendel, et al.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-5-21","created_at":"2021-09-30T08:23:41.612Z","updated_at":"2021-09-30T08:23:41.612Z"},{"id":933,"pubmed_id":22293552,"title":"Uberon, an integrative multi-species anatomy ontology.","year":2012,"url":"http://doi.org/10.1186/gb-2012-13-1-r5","authors":"Mungall CJ,Torniai C,Gkoutos GV,Lewis SE,Haendel MA","journal":"Genome Biol","doi":"10.1186/gb-2012-13-1-r5","created_at":"2021-09-30T08:24:03.233Z","updated_at":"2021-09-30T08:24:03.233Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1460,"relation":"undefined"}],"grants":[{"id":6972,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:21.223Z","updated_at":"2021-09-30T09:29:11.162Z","grant_id":130,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U24RR029825-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6970,"fairsharing_record_id":1197,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:21.159Z","updated_at":"2021-09-30T09:29:42.962Z","grant_id":372,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-0956049","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7983,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:15.288Z","updated_at":"2021-09-30T09:30:15.343Z","grant_id":623,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41HG002273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8193,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:26.664Z","updated_at":"2021-09-30T09:31:26.705Z","grant_id":1171,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HG004838","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6969,"fairsharing_record_id":1197,"organisation_id":2881,"relation":"maintains","created_at":"2021-09-30T09:28:21.121Z","updated_at":"2021-09-30T09:28:21.121Z","grant_id":null,"is_lead":true,"saved_state":{"id":2881,"name":"UBERON administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6971,"fairsharing_record_id":1197,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:28:21.191Z","updated_at":"2021-09-30T09:30:35.243Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7874,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:18.349Z","updated_at":"2021-09-30T09:29:18.425Z","grant_id":187,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R24OD011883","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8051,"fairsharing_record_id":1197,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:39.444Z","updated_at":"2021-09-30T09:30:39.494Z","grant_id":810,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41HG002273-09S1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1198","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:04:59.612Z","metadata":{"doi":"10.25504/FAIRsharing.d3pqw7","name":"Quantities, Units, Dimensions and Types","status":"ready","contacts":[{"contact_name":"QUDT administrators","contact_email":"info@qudt.org"}],"homepage":"http://qudt.org/","citations":[],"identifier":1198,"description":"The QUDT, or 'Quantity, Unit, Dimension and Type' collection of ontologies define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. QUDT provides a unified model of measurable quantities, units for measuring different kinds of quantities, the numerical values of quantities in different units of measure and the data structures and data types used to store and manipulate these objects in software. This OWL schema is a foundation for a basic treatment of units. Originally developed by TopQuadrant for the NASA Exploration Initiatives Ontology Models (NExIOM) project, they now form the basis of the NASA QUDT Handbook. QUDT aims to improve interoperability of data and the specification of information structures through industry standards for Units of Measure, Quantity Kinds, Dimensions and Data Types.","abbreviation":"QUDT","support_links":[{"url":"https://github.com/qudt/qudt-public-repo/wiki/User-Guide-for-QUDT","name":"User Guide","type":"Github"},{"url":"http://github.com/qudt/qudt-public-repo","name":"GitHub Project","type":"Github"},{"url":"https://github.com/qudt/qudt-public-repo/blob/master/docs/2020-04-28%20Intro%20to%20QUDT.pdf","name":"Introduction to QUDT (PDF)","type":"Github"},{"url":"http://www.qudt.org/pages/QUDToverviewPage.html","name":"QUDT Overview","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=P5XS3VKyVZ8","name":"Introduction to the QUDT EDG Browser","type":"Video"},{"url":"info@qudt.org","type":"Support email"}],"year_creation":2011,"associated_tools":[{"url":"http://www.qudt.org/edg/tbl","name":"QUDT EDG Environment"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/QUDT","name":"QUDT","portal":"BioPortal"}]},"legacy_ids":["bsg-002801","bsg-s002801"],"name":"FAIRsharing record for: Quantities, Units, Dimensions and Types","abbreviation":"QUDT","url":"https://fairsharing.org/10.25504/FAIRsharing.d3pqw7","doi":"10.25504/FAIRsharing.d3pqw7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The QUDT, or 'Quantity, Unit, Dimension and Type' collection of ontologies define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. QUDT provides a unified model of measurable quantities, units for measuring different kinds of quantities, the numerical values of quantities in different units of measure and the data structures and data types used to store and manipulate these objects in software. This OWL schema is a foundation for a basic treatment of units. Originally developed by TopQuadrant for the NASA Exploration Initiatives Ontology Models (NExIOM) project, they now form the basis of the NASA QUDT Handbook. QUDT aims to improve interoperability of data and the specification of information structures through industry standards for Units of Measure, Quantity Kinds, Dimensions and Data Types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Astrophysics and Astronomy"],"domains":["Experimental measurement","Unit"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":839,"relation":"undefined"}],"grants":[{"id":6974,"fairsharing_record_id":1198,"organisation_id":2867,"relation":"funds","created_at":"2021-09-30T09:28:21.280Z","updated_at":"2021-09-30T09:28:21.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":2867,"name":"TopQuadrant","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6976,"fairsharing_record_id":1198,"organisation_id":2392,"relation":"maintains","created_at":"2021-09-30T09:28:21.336Z","updated_at":"2021-09-30T09:28:21.336Z","grant_id":null,"is_lead":true,"saved_state":{"id":2392,"name":"QUDT.org","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":6973,"fairsharing_record_id":1198,"organisation_id":957,"relation":"undefined","created_at":"2021-09-30T09:28:21.256Z","updated_at":"2021-09-30T09:28:21.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":957,"name":"European Space Agency","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":6975,"fairsharing_record_id":1198,"organisation_id":1934,"relation":"funds","created_at":"2021-09-30T09:28:21.305Z","updated_at":"2021-09-30T09:28:21.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":1934,"name":"NASA Ames Research Center, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1199","type":"fairsharing_records","attributes":{"created_at":"2021-01-05T15:03:16.000Z","updated_at":"2022-09-29T09:32:12.393Z","metadata":{"doi":"10.25504/FAIRsharing.f8cd83","name":"Climate and Forecast Standard Names Parameter Vocabulary","status":"ready","contacts":[],"homepage":"http://cfconventions.org/Data/cf-standard-names/current/build/cf-standard-name-table.html","citations":[],"identifier":1199,"description":"The Climate and Forecast Standard Names Parameter Vocabulary (CF Standard Names) is intended for use with climate and forecast data in the atmosphere, surface and ocean domains. The CF Standard Names are the list of standard names used by the CF conventions. The list includes the units recommended for each standard name (most common prefixes can be used with the units, e.g. kilo (k), hecto (h), Mega (M), etc). If a standard_name metadata attribute is associated with a data variable, its value must be chosen from the list published in the standard name table. It is not compulsory within the CF conventions to assign a standard name to a data variable, but including one helps data users to understand the contents of a netCDF file. A CF standard name is not a netCDF variable name, but instead a value for the standard_name variable attribute. A standard_name attribute identifies the physical quantity of a variable.","abbreviation":"CF Standard Names","support_links":[{"url":"cf-metadata@cgd.ucar.edu","name":"Mailing List","type":"Mailing list"},{"url":"http://cfconventions.org/Data/cf-standard-names/docs/standard-name-contributors.html","name":"Contributors","type":"Help documentation"}],"year_creation":2018},"legacy_ids":["bsg-001560","bsg-s001560"],"name":"FAIRsharing record for: Climate and Forecast Standard Names Parameter Vocabulary","abbreviation":"CF Standard Names","url":"https://fairsharing.org/10.25504/FAIRsharing.f8cd83","doi":"10.25504/FAIRsharing.f8cd83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Climate and Forecast Standard Names Parameter Vocabulary (CF Standard Names) is intended for use with climate and forecast data in the atmosphere, surface and ocean domains. The CF Standard Names are the list of standard names used by the CF conventions. The list includes the units recommended for each standard name (most common prefixes can be used with the units, e.g. kilo (k), hecto (h), Mega (M), etc). If a standard_name metadata attribute is associated with a data variable, its value must be chosen from the list published in the standard name table. It is not compulsory within the CF conventions to assign a standard name to a data variable, but including one helps data users to understand the contents of a netCDF file. A CF standard name is not a netCDF variable name, but instead a value for the standard_name variable attribute. A standard_name attribute identifies the physical quantity of a variable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Atmospheric Science","Oceanography","Hydrology"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Carbon cycle","Forecasting","Sea ice"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6977,"fairsharing_record_id":1199,"organisation_id":484,"relation":"maintains","created_at":"2021-09-30T09:28:21.375Z","updated_at":"2021-09-30T09:28:21.375Z","grant_id":null,"is_lead":true,"saved_state":{"id":484,"name":"CF Metadata Conventions Governance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1200","type":"fairsharing_records","attributes":{"created_at":"2021-07-12T14:21:21.000Z","updated_at":"2023-04-19T15:41:50.869Z","metadata":{"doi":"10.25504/FAIRsharing.65cb7e","name":"MIRAGE reporting guidelines for capillary electrophoresis","status":"ready","contacts":[{"contact_name":"Dr. Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#ce_analysis","citations":[],"identifier":1200,"description":"These guidelines for glyco(proteo)mics analyzed by capillary electrophoresis (CE) aim for standardized and high quality reporting of experimental conditions in the scientific literature. The guidelines cover all aspects of a glyco(proteo)mics CE experiment including sample preparation, CE operation mode (CZE, CGE, CEC, MEKC, cIEF, cITP), instrument configuration, capillary separation conditions, detection, data analysis, and experimental descriptors.","abbreviation":"MIRAGE CE guideline","support_links":[{"url":"https://www.beilstein-institut.de/media/ce-guidelines_data_reporting_examples.pdf","name":"Data Reporting Examples for MIRAGE CE-Guidelines","type":"Help documentation"}],"year_creation":2021,"associated_tools":[]},"legacy_ids":["bsg-001623","bsg-s001623"],"name":"FAIRsharing record for: MIRAGE reporting guidelines for capillary electrophoresis","abbreviation":"MIRAGE CE guideline","url":"https://fairsharing.org/10.25504/FAIRsharing.65cb7e","doi":"10.25504/FAIRsharing.65cb7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines for glyco(proteo)mics analyzed by capillary electrophoresis (CE) aim for standardized and high quality reporting of experimental conditions in the scientific literature. The guidelines cover all aspects of a glyco(proteo)mics CE experiment including sample preparation, CE operation mode (CZE, CGE, CEC, MEKC, cIEF, cITP), instrument configuration, capillary separation conditions, detection, data analysis, and experimental descriptors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Glycomics"],"domains":["Experimental measurement","Protocol","Electrophoresis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","Singapore","United Kingdom","United States"],"publications":[{"id":3284,"pubmed_id":null,"title":"The minimum information required for a glycomics experiment (MIRAGE): reporting guidelines for capillary electrophoresis","year":2022,"url":"http://dx.doi.org/10.1093/glycob/cwac021","authors":"Lageveen-Kammeijer, Guinevere S M; Rapp, Erdmann; Chang, Deborah; Rudd, Pauline M; Kettner, Carsten; Zaia, Joseph; ","journal":"Glycobiology","doi":"10.1093/glycob/cwac021","created_at":"2022-03-30T13:45:45.956Z","updated_at":"2022-03-30T13:45:45.956Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3179,"relation":"undefined"}],"grants":[{"id":6978,"fairsharing_record_id":1200,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:28:21.408Z","updated_at":"2021-09-30T09:28:21.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6980,"fairsharing_record_id":1200,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:28:21.487Z","updated_at":"2021-09-30T09:28:21.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6981,"fairsharing_record_id":1200,"organisation_id":1790,"relation":"maintains","created_at":"2021-09-30T09:28:21.528Z","updated_at":"2021-09-30T09:28:21.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":1790,"name":"Max Planck Institute for the Dynmics of Complex Technical Systems Magdeburg","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9020,"fairsharing_record_id":1200,"organisation_id":37,"relation":"maintains","created_at":"2022-03-24T11:00:38.696Z","updated_at":"2022-03-24T11:00:38.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":6979,"fairsharing_record_id":1200,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:21.445Z","updated_at":"2021-09-30T09:28:21.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWDg9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--25c9bacedf2375020a0784841ad02fc6962d19b8/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1201","type":"fairsharing_records","attributes":{"created_at":"2016-11-09T13:36:23.000Z","updated_at":"2021-11-24T13:14:28.342Z","metadata":{"doi":"10.25504/FAIRsharing.zgwrmg","name":"Minimum Information Model for tolAPC","status":"ready","contacts":[{"contact_email":"catharien.hilkens@newcastle.ac.uk"}],"homepage":"https://doi.org/10.7717/peerj.2300","identifier":1201,"description":"The minimum information model for tolAPC (MITAP) guideline is an initiative of members of the tolAPC field to provide a reporting framework that will make differences and similarities between tolAPC products transparent. Cellular therapies with tolerogenic antigen-presenting cells (tolAPC) show great promise for the treatment of autoimmune diseases and for the prevention of destructive immune responses after transplantation. The methodologies for generating tolAPC vary greatly between different laboratories, making it difficult to compare data from different studies; thus constituting a major hurdle for the development of standardised tolAPC therapeutic products. MITAP constitutes a first but important step towards the production of standardised and reproducible tolAPC for clinical application.","abbreviation":"MITAP","support_links":[{"url":"https://ia600500.us.archive.org/33/items/ontolink/mitap/","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-000687","bsg-s000687"],"name":"FAIRsharing record for: Minimum Information Model for tolAPC","abbreviation":"MITAP","url":"https://fairsharing.org/10.25504/FAIRsharing.zgwrmg","doi":"10.25504/FAIRsharing.zgwrmg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The minimum information model for tolAPC (MITAP) guideline is an initiative of members of the tolAPC field to provide a reporting framework that will make differences and similarities between tolAPC products transparent. Cellular therapies with tolerogenic antigen-presenting cells (tolAPC) show great promise for the treatment of autoimmune diseases and for the prevention of destructive immune responses after transplantation. The methodologies for generating tolAPC vary greatly between different laboratories, making it difficult to compare data from different studies; thus constituting a major hurdle for the development of standardised tolAPC therapeutic products. MITAP constitutes a first but important step towards the production of standardised and reproducible tolAPC for clinical application.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12509}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunology","Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","Chile","France","Germany","Ireland","Italy","Netherlands","Norway","Serbia","Spain","Turkey","United Kingdom","United States"],"publications":[{"id":1785,"pubmed_id":27635311,"title":"Minimum information about tolerogenic antigen-presenting cells (MITAP): a first step towards reproducibility and standardisation of cellular therapies.","year":2016,"url":"http://doi.org/10.7717/peerj.2300","authors":"Lord P,Spiering R,Aguillon JC,Anderson AE,Appel S,Benitez-Ribas D,Ten Brinke A,Broere F,Cools N,Cuturi MC,Diboll J,Geissler EK,Giannoukakis N,Gregori S,van Ham SM,Lattimer S,Marshall L,Harry RA,Hutchinson JA,Isaacs JD,Joosten I,van Kooten C,Lopez Diaz de Cerio A,Nikolic T,Oral HB,Sofronic-Milosavljevic L,Ritter T,Riquelme P,Thomson AW,Trucco M,Vives-Pi M,Martinez-Caceres EM,Hilkens CM","journal":"PeerJ","doi":"10.7717/peerj.2300","created_at":"2021-09-30T08:25:40.321Z","updated_at":"2021-09-30T08:25:40.321Z"}],"licence_links":[],"grants":[{"id":6983,"fairsharing_record_id":1201,"organisation_id":926,"relation":"funds","created_at":"2021-09-30T09:28:21.654Z","updated_at":"2021-09-30T09:29:49.087Z","grant_id":418,"is_lead":false,"saved_state":{"id":926,"name":"European Cooperation in Science and Technology","grant":"Action to Focus and Accelerate Cell-based Tolerance-inducing Therapies; BM1305","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1202","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:15:43.454Z","metadata":{"doi":"10.25504/FAIRsharing.hbwfep","name":"Minimal Information for Protein Functional Evaluation","status":"uncertain","contacts":[{"contact_name":"Ario de Marco","contact_email":"ario.demarco@ifom-ieo-campus.it"}],"homepage":"http://mibbi.sourceforge.net/projects/MIPFE.shtml","identifier":1202,"description":"Reporting requirements for the evaluation of recombinant protein functionality – MIPFE version 0.1. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"MIPFE","support_links":[{"url":"davide.cittaro@ifom-ieo-campus.it","type":"Support email"},{"url":"deborah.agostini@ifom-ieo-campus.it","type":"Support email"},{"url":"http://mibbi.sourceforge.net/projects/MIPFE/docs/MIPFE_specification_v0.0.doc","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000160","bsg-s000160"],"name":"FAIRsharing record for: Minimal Information for Protein Functional Evaluation","abbreviation":"MIPFE","url":"https://fairsharing.org/10.25504/FAIRsharing.hbwfep","doi":"10.25504/FAIRsharing.hbwfep","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reporting requirements for the evaluation of recombinant protein functionality – MIPFE version 0.1. Please note: We cannot find an up-to-date website for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11582},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11982}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Life Science"],"domains":["Annotation","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1684,"pubmed_id":18647423,"title":"Minimal information: an urgent need to assess the functional reliability of recombinant proteins used in biological experiments.","year":2008,"url":"http://doi.org/10.1186/1475-2859-7-20","authors":"de Marco A","journal":"Microb Cell Fact","doi":"10.1186/1475-2859-7-20","created_at":"2021-09-30T08:25:28.680Z","updated_at":"2021-09-30T08:25:28.680Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1209","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.409Z","metadata":{"doi":"10.25504/FAIRsharing.m0pprb","name":"Randomized Controlled Trials Ontology","status":"ready","contacts":[{"contact_name":"Amrapali Zaveri","contact_email":"amrapali.j.zaveri@gmail.com","contact_orcid":"0000-0003-3239-4588"}],"homepage":"http://bioportal.bioontology.org/ontologies/1676","identifier":1209,"description":"An ontology specifically for Randomized Controlled Trials in order to facilitate the production of systematic reviews and metaanalysis.","abbreviation":"RCTONT","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RCTONT","name":"RCTONT","portal":"BioPortal"}]},"legacy_ids":["bsg-002760","bsg-s002760"],"name":"FAIRsharing record for: Randomized Controlled Trials Ontology","abbreviation":"RCTONT","url":"https://fairsharing.org/10.25504/FAIRsharing.m0pprb","doi":"10.25504/FAIRsharing.m0pprb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology specifically for Randomized Controlled Trials in order to facilitate the production of systematic reviews and metaanalysis.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12465}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Biomedical Science","Preclinical Studies"],"domains":["Evidence","Systematic review"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Singapore"],"publications":[{"id":1775,"pubmed_id":20953737,"title":"Achieving high research reporting quality through the use of computational ontologies.","year":2010,"url":"http://doi.org/10.1007/s12021-010-9079-5","authors":"Zaveri A,Cofiel L,Shah J,Pradhan S,Chan E,Dameron O,Pietrobon R,Ang BT","journal":"Neuroinformatics","doi":"10.1007/s12021-010-9079-5","created_at":"2021-09-30T08:25:39.205Z","updated_at":"2021-09-30T08:25:39.205Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":243,"relation":"undefined"}],"grants":[{"id":6998,"fairsharing_record_id":1209,"organisation_id":2054,"relation":"maintains","created_at":"2021-09-30T09:28:22.149Z","updated_at":"2021-09-30T09:28:22.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2054,"name":"National Neuroscience Institute (NNI), Singapore, Singapore","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1210","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T11:11:55.000Z","updated_at":"2022-02-08T10:29:06.093Z","metadata":{"doi":"10.25504/FAIRsharing.22041b","name":"Shoreline Metadata Profile of the Content Standards for Digital Geospatial Metadata","status":"ready","contacts":[{"contact_name":"Tony LaVoi","contact_email":"tony.lavoi@noaa.gov"}],"homepage":"https://www.fgdc.gov/standards/projects/FGDC-standards-projects/metadata/shoreline-metadata/","citations":[],"identifier":1210,"description":"The Shoreline Metadata Profile provides the format and content for describing data sets related to shoreline and other coastal data sets. The metadata complies with the FGDC Content Standards for Digital Geospatial Standard. It provides additional terms and data elements required to support metadata for shoreline and coastal data sets. The profile is primarily oriented toward providing the elements necessary for documenting shoreline data and reaching a common understanding of the shoreline for national mapping purposes and other geospatial and Geographic Information Systems (GIS) applications. Shoreline data are important for coastal zone management, environmental monitoring, resource developments, legal land jurisdictional issues, ocean and meteorological modeling, engineering, construction, planning, and many other uses.","abbreviation":"SMP - CSDGM","support_links":[],"year_creation":1998},"legacy_ids":["bsg-001311","bsg-s001311"],"name":"FAIRsharing record for: Shoreline Metadata Profile of the Content Standards for Digital Geospatial Metadata","abbreviation":"SMP - CSDGM","url":"https://fairsharing.org/10.25504/FAIRsharing.22041b","doi":"10.25504/FAIRsharing.22041b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Shoreline Metadata Profile provides the format and content for describing data sets related to shoreline and other coastal data sets. The metadata complies with the FGDC Content Standards for Digital Geospatial Standard. It provides additional terms and data elements required to support metadata for shoreline and coastal data sets. The profile is primarily oriented toward providing the elements necessary for documenting shoreline data and reaching a common understanding of the shoreline for national mapping purposes and other geospatial and Geographic Information Systems (GIS) applications. Shoreline data are important for coastal zone management, environmental monitoring, resource developments, legal land jurisdictional issues, ocean and meteorological modeling, engineering, construction, planning, and many other uses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation","Geographic Information System (GIS)"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":6999,"fairsharing_record_id":1210,"organisation_id":1756,"relation":"maintains","created_at":"2021-09-30T09:28:22.187Z","updated_at":"2021-09-30T09:28:22.187Z","grant_id":null,"is_lead":true,"saved_state":{"id":1756,"name":"Marine and Coastal Spatial Data (MCSD) Subcommittee, Federal Geographic Data Committee, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1211","type":"fairsharing_records","attributes":{"created_at":"2018-10-04T10:48:03.000Z","updated_at":"2024-03-06T11:52:30.403Z","metadata":{"doi":"10.25504/FAIRsharing.3b861d","name":"Data Package","status":"ready","contacts":[],"homepage":"http://frictionlessdata.io/specs/data-package/","citations":[],"identifier":1211,"description":"Data Package is a simple container format used to describe and package a collection of data. The format provides a simple contract for data interoperability that supports frictionless delivery, installation and management of data. A Data Package consists of metadata that describes the structure and contents of the package, and resources (such as data files) that form the contents of the package. The Data Package metadata is stored in a \"descriptor\". This descriptor is what makes a collection of data a Data Package. In addition to this descriptor a data package will include other resources such as data files. The Data Package specification does NOT impose any requirements on their form or structure and can therefore be used for packaging any kind of data.","abbreviation":"Data Package","support_links":[{"url":"https://discuss.okfn.org/c/frictionless-data","name":"Frictionless Data Forum","type":"Forum"},{"url":"http://frictionlessdata.io/data-packages/","name":"Data Packages Explained","type":"Help documentation"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/frictionlessdata/datapackage-js","name":"JavaScript library"},{"url":"https://github.com/frictionlessdata/datapackage-py","name":"Python library"}]},"legacy_ids":["bsg-001300","bsg-s001300"],"name":"FAIRsharing record for: Data Package","abbreviation":"Data Package","url":"https://fairsharing.org/10.25504/FAIRsharing.3b861d","doi":"10.25504/FAIRsharing.3b861d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Package is a simple container format used to describe and package a collection of data. The format provides a simple contract for data interoperability that supports frictionless delivery, installation and management of data. A Data Package consists of metadata that describes the structure and contents of the package, and resources (such as data files) that form the contents of the package. The Data Package metadata is stored in a \"descriptor\". This descriptor is what makes a collection of data a Data Package. In addition to this descriptor a data package will include other resources such as data files. The Data Package specification does NOT impose any requirements on their form or structure and can therefore be used for packaging any kind of data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United Kingdom","Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1596,"relation":"undefined"}],"grants":[{"id":7000,"fairsharing_record_id":1211,"organisation_id":1063,"relation":"maintains","created_at":"2021-09-30T09:28:22.254Z","updated_at":"2021-09-30T09:28:22.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":1063,"name":"Frictionless Data, Open Knowledge International, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1212","type":"fairsharing_records","attributes":{"created_at":"2019-07-10T13:06:00.000Z","updated_at":"2022-12-27T17:28:12.524Z","metadata":{"doi":"10.25504/FAIRsharing.KfGESz","name":"Guideline for Minimum Information Stroke Research and Clinical Data Reporting","status":"ready","contacts":[{"contact_name":"Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"https://www.h3abionet.org/data-standards/datastds","citations":[{"doi":"https://doi.org/10.5334/dsj-2019-026","publication_id":2516}],"identifier":1212,"description":"The Guideline for Minimum Information Stroke Research and Clinical Data Reporting (GMISR) is a standardised reporting guideline for stroke research and clinical data reporting.","abbreviation":"GMISR","support_links":[{"url":"https://www.h3abionet.org/images/DataAndStandards/DataStandards/Recommendations_For_Use_Guideline.pdf","name":"Recommendations for Use","type":"Help documentation"}],"year_creation":2018,"associated_tools":[]},"legacy_ids":["bsg-001388","bsg-s001388"],"name":"FAIRsharing record for: Guideline for Minimum Information Stroke Research and Clinical Data Reporting","abbreviation":"GMISR","url":"https://fairsharing.org/10.25504/FAIRsharing.KfGESz","doi":"10.25504/FAIRsharing.KfGESz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Guideline for Minimum Information Stroke Research and Clinical Data Reporting (GMISR) is a standardised reporting guideline for stroke research and clinical data reporting.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12547}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medicine","Neurology","Preclinical Studies","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Ghana","Nigeria","South Africa","Tunisia"],"publications":[{"id":2516,"pubmed_id":null,"title":"Proposed Guideline for Minimum Information Stroke Research and Clinical Data Reporting.","year":2019,"url":"http://doi.org/https://doi.org/10.5334/dsj-2019-026","authors":"Kumuthini, J, Zass, L, Chaouch, M, Thompson, M, Olowoyo, P, Mbiyavanga, M, Moyinoluwalogo, F, Wells, G, Nembaware, V, Mulder, NJ, Owolabi, M and H3ABioNet Consortium’s Data and Standards Working Group as members of the H3Africa Consortium.","journal":"Data Science Journal","doi":"https://doi.org/10.5334/dsj-2019-026","created_at":"2021-09-30T08:27:08.713Z","updated_at":"2021-09-30T08:27:08.713Z"}],"licence_links":[],"grants":[{"id":7001,"fairsharing_record_id":1212,"organisation_id":1207,"relation":"maintains","created_at":"2021-09-30T09:28:22.292Z","updated_at":"2021-09-30T09:28:22.292Z","grant_id":null,"is_lead":true,"saved_state":{"id":1207,"name":"H3ABioNet","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7002,"fairsharing_record_id":1212,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:22.329Z","updated_at":"2021-09-30T09:31:13.584Z","grant_id":1073,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U41HG006941","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1213","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T15:28:22.000Z","updated_at":"2021-11-24T13:16:26.089Z","metadata":{"doi":"10.25504/FAIRsharing.8wgn56","name":"Plant names in botanical databases","status":"ready","homepage":"https://github.com/tdwg/prior-standards/tree/master/plant-names-in-botanical-databases","identifier":1213,"description":"This standard defines the taxonomic and nomenclatural concepts associated with the names of plants. It describes the component parts, their functions and their interrelations of significance in structuring a database. The appendices provide an outline of a preliminary data dictionary illustrating possible elements and their properties. It does not provide a data model or a data format. A data model will be considered at a later date by the TDWG Sub-group considering this standard. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":null,"support_links":[{"url":"https://github.com/tdwg/prior-standards/blob/master/plant-names-in-botanical-databases/113-528-1-RV.pdf","type":"Github"}],"year_creation":1995},"legacy_ids":["bsg-000631","bsg-s000631"],"name":"FAIRsharing record for: Plant names in botanical databases","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8wgn56","doi":"10.25504/FAIRsharing.8wgn56","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard defines the taxonomic and nomenclatural concepts associated with the names of plants. It describes the component parts, their functions and their interrelations of significance in structuring a database. The appendices provide an outline of a preliminary data dictionary illustrating possible elements and their properties. It does not provide a data model or a data format. A data model will be considered at a later date by the TDWG Sub-group considering this standard. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12283}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Life Science"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7003,"fairsharing_record_id":1213,"organisation_id":1612,"relation":"funds","created_at":"2021-09-30T09:28:22.368Z","updated_at":"2021-09-30T09:28:22.368Z","grant_id":null,"is_lead":false,"saved_state":{"id":1612,"name":"JRS Biodiversity Foundation, Seattle, WA, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7004,"fairsharing_record_id":1213,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:28:22.399Z","updated_at":"2021-09-30T09:28:22.399Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7005,"fairsharing_record_id":1213,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:22.427Z","updated_at":"2021-09-30T09:28:22.427Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1214","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:14:20.738Z","metadata":{"doi":"10.25504/FAIRsharing.svzbnp","name":"DEscription Language for TAxonomy","status":"ready","contacts":[{"contact_name":"M. J. Dallwitz","contact_email":"dallwitz.m@gmail.com"}],"homepage":"http://www.tdwg.org/standards/107/","identifier":1214,"description":"When taxonomic descriptions are prepared for input to computer programs, the form of the coding is usually dictated by the requirements of a particular program or set of programs. This restricts the type of data that can be represented, and the number of other programs that can use the data. Even when working with a particular program, it is frequently necessary to set up different versions of the same basic data, for example, when using restricted sets of taxa or characters to make special-purpose keys. The potential advantages of automation, especially in connexion with large groups, cannot be realized if the data have to be restructured by hand for every operation. The DELTA (DEscription Language for TAxonomy) system was developed to overcome these problems. It was designed primarily for easy use by people rather than for convenience in computer programming, and is versatile enough to replace the written description as the primary means of recording data. Consequently, it can be used as a shorthand method of recording data, even if computer processing of the data is not envisaged.","abbreviation":"DELTA","support_links":[{"url":"http://delta-intkey.com/www/delta-l.htm","type":"Mailing list"},{"url":"http://delta-intkey.com/","type":"Help documentation"}],"year_creation":1980},"legacy_ids":["bsg-000200","bsg-s000200"],"name":"FAIRsharing record for: DEscription Language for TAxonomy","abbreviation":"DELTA","url":"https://fairsharing.org/10.25504/FAIRsharing.svzbnp","doi":"10.25504/FAIRsharing.svzbnp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: When taxonomic descriptions are prepared for input to computer programs, the form of the coding is usually dictated by the requirements of a particular program or set of programs. This restricts the type of data that can be represented, and the number of other programs that can use the data. Even when working with a particular program, it is frequently necessary to set up different versions of the same basic data, for example, when using restricted sets of taxa or characters to make special-purpose keys. The potential advantages of automation, especially in connexion with large groups, cannot be realized if the data have to be restructured by hand for every operation. The DELTA (DEscription Language for TAxonomy) system was developed to overcome these problems. It was designed primarily for easy use by people rather than for convenience in computer programming, and is versatile enough to replace the written description as the primary means of recording data. Consequently, it can be used as a shorthand method of recording data, even if computer processing of the data is not envisaged.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12267}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":7006,"fairsharing_record_id":1214,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:28:22.457Z","updated_at":"2021-09-30T09:28:22.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7009,"fairsharing_record_id":1214,"organisation_id":145,"relation":"funds","created_at":"2021-09-30T09:28:22.554Z","updated_at":"2021-09-30T09:28:22.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":145,"name":"Australian National Parks and Wildlife Service, Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7007,"fairsharing_record_id":1214,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:22.482Z","updated_at":"2021-09-30T09:28:22.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7008,"fairsharing_record_id":1214,"organisation_id":132,"relation":"undefined","created_at":"2021-09-30T09:28:22.511Z","updated_at":"2021-09-30T09:28:22.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":132,"name":"Atlas of Living Australia, Australia","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1215","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.847Z","metadata":{"doi":"10.25504/FAIRsharing.mad142","name":"Minimum Information about a Nutrigenomics experiment","status":"deprecated","contacts":[{"contact_name":"Philippe Rocca-Serra","contact_email":"philippe.rocca-serra@oerc.ox.ac.uk","contact_orcid":"0000-0001-9853-5668"}],"homepage":"http://mibbi.sourceforge.net/projects/MIAME-Nutr.shtml","identifier":1215,"description":"MIAME/Nutr was developed to extend MIAME for array-based nutrigenomics experiments.","abbreviation":"MIAME/Nutr","year_creation":2004,"deprecation_date":"2018-04-25","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000190","bsg-s000190"],"name":"FAIRsharing record for: Minimum Information about a Nutrigenomics experiment","abbreviation":"MIAME/Nutr","url":"https://fairsharing.org/10.25504/FAIRsharing.mad142","doi":"10.25504/FAIRsharing.mad142","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME/Nutr was developed to extend MIAME for array-based nutrigenomics experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11584},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11984}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Nutritional Science","Transcriptomics"],"domains":["Expression data","Deoxyribonucleic acid","Nutrient","Ribonucleic acid","Nucleic acid hybridization","DNA microarray","Genome"],"taxonomies":["All"],"user_defined_tags":["Cistrome"],"countries":["United Kingdom"],"publications":[{"id":850,"pubmed_id":16901222,"title":"A strategy capitalizing on synergies: the Reporting Structure for Biological Investigation (RSBI) working group.","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.164","authors":"Sansone SA,Rocca-Serra P,Tong W,Fostel J,Morrison N,Jones AR","journal":"OMICS","doi":"10.1089/omi.2006.10.164","created_at":"2021-09-30T08:23:53.822Z","updated_at":"2021-09-30T08:23:53.822Z"}],"licence_links":[],"grants":[{"id":9257,"fairsharing_record_id":1215,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.835Z","updated_at":"2022-04-11T12:07:25.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1217","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2021-11-24T13:14:28.479Z","metadata":{"doi":"10.25504/FAIRsharing.b82qvn","name":"Congenital Heart Defects Ontology","status":"ready","contacts":[{"contact_name":"Charalampos Moschopoulos","contact_email":"cmoschop@esat.kuleuven.be"}],"homepage":"https://bioportal.bioontology.org/ontologies/CHD/?p=summary","identifier":1217,"description":"Congenital Heart Defects Ontology (CHD) is a standard that represents the ontology of CHD.","abbreviation":"CHD","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHD","name":"CHD","portal":"BioPortal"}]},"legacy_ids":["bsg-000837","bsg-s000837"],"name":"FAIRsharing record for: Congenital Heart Defects Ontology","abbreviation":"CHD","url":"https://fairsharing.org/10.25504/FAIRsharing.b82qvn","doi":"10.25504/FAIRsharing.b82qvn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Congenital Heart Defects Ontology (CHD) is a standard that represents the ontology of CHD.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Annotation","Heart"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1218","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T13:05:44.000Z","updated_at":"2022-02-08T10:29:15.888Z","metadata":{"doi":"10.25504/FAIRsharing.b49fab","name":"UK GEo-spatial Metadata INteroperability iNItiative Metadata Standard","status":"ready","contacts":[{"contact_name":"UK GEMINI General Contact","contact_email":"gemini@agi.org.uk"}],"homepage":"https://www.agi.org.uk/agi-groups/standards-committee/uk-gemini","citations":[],"identifier":1218,"description":"The UK GEMINI standard specifies a set of metadata elements for describing geographic information resources. These resources may be datasets, dataset series, services delivering geographic data, or any other information resource with a geospatial content. This includes datasets that relate to a limited geographic area. The data resources may be graphical or textual (tabular or free text), hardcopy or digital. The metadata elements are intended for use in a metadata service for discovering what data resources exist. The aim of UK GEMINI is to provide a core set of metadata elements for use in a UK geospatial metadata service, that are compatible with the INSPIRE requirements for metadata. It does not preclude organisations recording additional metadata elements for their own internal business purposes. GEMINI 2.3, released in June 2018, does not include any changes related to the publication of ISO 19115-1:2014; GEMINI remains based on ISO 19115:2003.","abbreviation":"UK GEMINI","support_links":[{"url":"https://www.agi.org.uk/gemini/40-gemini/1053-common-metadata-errors-uk-location-discovery-metadata-service","name":"Common Metadata Errors","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1052-metadata-guidelines-for-geospatial-data-resources-part-1","name":"Metadata Guidelines for Geospatial Data Resources - Part 1","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1049-metadata-guidelines-for-geospatial-data-resources-part-2","name":"Metadata Guidelines for Geospatial Data Resources - Part 2","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1037-uk-gemini-standard-and-inspire-implementing-rules","name":"UK GEMINI v2.3 specification","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1056-glossary","name":"UK GEMINI Glossary","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1051-uk-gemini-v2-2-specification-for-discovery-metadata-for-geospatial-resources","name":"UK GEMINI v2.2 Specification","type":"Help documentation"},{"url":"https://www.agi.org.uk/gemini/40-gemini/1047-metadata-guidelines-for-geospatial-data-resources-part-3","name":"Metadata Guidelines for Geospatial Data Resources - Part 3","type":"Help documentation"}],"year_creation":2004},"legacy_ids":["bsg-001314","bsg-s001314"],"name":"FAIRsharing record for: UK GEo-spatial Metadata INteroperability iNItiative Metadata Standard","abbreviation":"UK GEMINI","url":"https://fairsharing.org/10.25504/FAIRsharing.b49fab","doi":"10.25504/FAIRsharing.b49fab","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK GEMINI standard specifies a set of metadata elements for describing geographic information resources. These resources may be datasets, dataset series, services delivering geographic data, or any other information resource with a geospatial content. This includes datasets that relate to a limited geographic area. The data resources may be graphical or textual (tabular or free text), hardcopy or digital. The metadata elements are intended for use in a metadata service for discovering what data resources exist. The aim of UK GEMINI is to provide a core set of metadata elements for use in a UK geospatial metadata service, that are compatible with the INSPIRE requirements for metadata. It does not preclude organisations recording additional metadata elements for their own internal business purposes. GEMINI 2.3, released in June 2018, does not include any changes related to the publication of ISO 19115-1:2014; GEMINI remains based on ISO 19115:2003.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Association for Geographic Information Terms and Conditions","licence_id":904,"licence_url":"https://www.agi.org.uk/website-terms-and-conditions/","link_id":2578,"relation":"applies_to_content"}],"grants":[{"id":7011,"fairsharing_record_id":1218,"organisation_id":324,"relation":"maintains","created_at":"2021-09-30T09:28:22.697Z","updated_at":"2021-09-30T09:28:22.697Z","grant_id":null,"is_lead":true,"saved_state":{"id":324,"name":"British Standards Institution (BSI) IST/36 Standards Committee, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1219","type":"fairsharing_records","attributes":{"created_at":"2018-05-22T11:13:28.000Z","updated_at":"2022-10-26T13:47:09.710Z","metadata":{"doi":"10.25504/FAIRsharing.N8KDKt","name":"Metabolomics Workbench Tabular File Format","status":"ready","contacts":[{"contact_name":"Shankar Subramaniam","contact_email":"shankar@ucsd.edu"}],"homepage":"http://www.metabolomicsworkbench.org/data/tutorials.php","citations":[],"identifier":1219,"description":"mwTab is a format developed by the Metabolomics Workbench to facilitate programmatic processing of data suitable for submission to the Workbench. It provides a structure for both metadata and experimentally measured data. The mwTab format consists of sequentially ordered blocks (sections) of text data. Some of the blocks consist of data represented by ‘single key to single value’ relationships that store single pieces of information. Other blocks consist of multiple ‘tab’-separated values via ‘single key to multiple values’ or ‘multiple keys to multiple values’ relationships that store multiple pieces of information in an organized manner analogous to a relational table.","abbreviation":"mwTab","support_links":[{"url":"webmaster@metabolomicsworkbench.org","name":"Website contact","type":"Support email"}],"year_creation":2017,"associated_tools":[{"url":"https://github.com/MoseleyBioinformaticsLab/mwtab","name":"mwtab Python Library"}]},"legacy_ids":["bsg-001215","bsg-s001215"],"name":"FAIRsharing record for: Metabolomics Workbench Tabular File Format","abbreviation":"mwTab","url":"https://fairsharing.org/10.25504/FAIRsharing.N8KDKt","doi":"10.25504/FAIRsharing.N8KDKt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mwTab is a format developed by the Metabolomics Workbench to facilitate programmatic processing of data suitable for submission to the Workbench. It provides a structure for both metadata and experimentally measured data. The mwTab format consists of sequentially ordered blocks (sections) of text data. Some of the blocks consist of data represented by ‘single key to single value’ relationships that store single pieces of information. Other blocks consist of multiple ‘tab’-separated values via ‘single key to multiple values’ or ‘multiple keys to multiple values’ relationships that store multiple pieces of information in an organized manner analogous to a relational table.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Metabolomics"],"domains":["Workflow"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1225,"pubmed_id":26467476,"title":"Metabolomics Workbench: An international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1042","authors":"Sud M,Fahy E,Cotter D,Azam K,Vadivelu I,Burant C,Edison A,Fiehn O,Higashi R,Nair KS,Sumner S,Subramaniam S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1042","created_at":"2021-09-30T08:24:36.598Z","updated_at":"2021-09-30T11:29:03.392Z"},{"id":2899,"pubmed_id":29706851,"title":"A Python library for FAIRer access and deposition to the Metabolomics Workbench Data Repository.","year":2018,"url":"http://doi.org/10.1007/s11306-018-1356-6","authors":"Smelter A,Moseley HNB","journal":"Metabolomics","doi":"10.1007/s11306-018-1356-6","created_at":"2021-09-30T08:27:57.024Z","updated_at":"2021-09-30T08:27:57.024Z"}],"licence_links":[{"licence_name":"Metabolomics Workbench Attribution required","licence_id":505,"licence_url":"https://www.metabolomicsworkbench.org/about/howtocite.php","link_id":2214,"relation":"undefined"},{"licence_name":"Metabolomics Workbench Terms of Use","licence_id":506,"licence_url":"https://www.metabolomicsworkbench.org/about/termsofuse.php","link_id":2210,"relation":"undefined"}],"grants":[{"id":8255,"fairsharing_record_id":1219,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:31:45.935Z","updated_at":"2022-08-10T15:49:16.873Z","grant_id":1317,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"EC312941","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9789,"fairsharing_record_id":1219,"organisation_id":3656,"relation":"funds","created_at":"2022-08-10T16:16:35.766Z","updated_at":"2022-08-10T16:16:35.766Z","grant_id":1890,"is_lead":false,"saved_state":{"id":3656,"name":"Phenome and Metabolome aNalysis (PhenoMeNal) Large-Scale Computing for Medical Metabolomics","grant":"European Commission's Horizon 2020 Programme Project: PhenoMeNal: A comprehensive and standardised e-infrastructure for analysing medical metabolic phenotype data (Grant D: 654241).","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9791,"fairsharing_record_id":1219,"organisation_id":3658,"relation":"collaborates_on","created_at":"2022-08-10T16:16:35.842Z","updated_at":"2022-08-10T16:16:35.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":3658,"name":"The Metabolome Facility of Bordeaux Functional Genomics Centre (MFB)","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":7298,"fairsharing_record_id":1219,"organisation_id":917,"relation":"associated_with","created_at":"2021-09-30T09:28:33.015Z","updated_at":"2022-08-10T16:16:35.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":917,"name":"European Commission COSMOS FP7","types":["Undefined"],"is_lead":false,"relation":"associated_with"}},{"id":10042,"fairsharing_record_id":1219,"organisation_id":2799,"relation":"collaborates_on","created_at":"2022-10-13T09:43:42.271Z","updated_at":"2022-10-13T09:43:42.271Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre, Canada","types":["Undefined"],"is_lead":false,"relation":"collaborates_on"}},{"id":10043,"fairsharing_record_id":1219,"organisation_id":1707,"relation":"collaborates_on","created_at":"2022-10-13T09:43:42.360Z","updated_at":"2022-10-13T09:43:42.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":1707,"name":"Leon Levy Foundation","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1179","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:03:39.512Z","metadata":{"doi":"10.25504/FAIRsharing.sxh2dp","name":"HUPO PSI Mass Spectrometry Controlled Vocabulary","status":"ready","contacts":[{"contact_email":"psidev-ms-vocab@lists.sourceforge.net"}],"homepage":"http://www.psidev.info/groups/mass-spectrometry#controlled","citations":[{"doi":"10.1093/database/bat009","pubmed_id":23482073,"publication_id":976}],"identifier":1179,"description":"The PSI-MS Controlled Vocabulary is developed in common with the PSI-Proteomics Informatics group. It consists of a large collection of structured terms covering description and use of Mass Spectrometry instrumentation as well as Protein Identification and Quantitation software. The source of the terms are multiple: they include vocabulary and definitions in chapter 12 of the IUPAC nomenclature book, instrument and software vendors and developers and other user-submitted terms. Although its structure and use is linked to mzML, mzIdentML and mzQuantML, it is dynamically maintained in a OBO format. The PSI-Mass Spectrometry (MS) CV contains all the terms used in the PSI MS–related data standards. The CV contains a logical hierarchical structure to ensure ease of maintenance and the development of software that makes use of complex semantics. The CV contains terms required for a complete description of an MS analysis pipeline used in proteomics, including sample labeling, digestion enzymes, instrumentation parts and parameters, software used for identification and quantification of peptides/proteins and the parameters and scores used to determine their significance. Owing to the range of topics covered by the CV, collaborative development across several PSI working groups, including proteomics research groups, instrument manufacturers and software vendors, was necessary.","abbreviation":"PSI-MS CV","support_links":[{"url":"http://www.psidev.info/groups/controlled-vocabularies","type":"Help documentation"},{"url":"https://github.com/HUPO-PSI/psi-ms-CV","name":"GitHub Repository","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MS","name":"MS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ms.html","name":"ms","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000068","bsg-s000068"],"name":"FAIRsharing record for: HUPO PSI Mass Spectrometry Controlled Vocabulary","abbreviation":"PSI-MS CV","url":"https://fairsharing.org/10.25504/FAIRsharing.sxh2dp","doi":"10.25504/FAIRsharing.sxh2dp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PSI-MS Controlled Vocabulary is developed in common with the PSI-Proteomics Informatics group. It consists of a large collection of structured terms covering description and use of Mass Spectrometry instrumentation as well as Protein Identification and Quantitation software. The source of the terms are multiple: they include vocabulary and definitions in chapter 12 of the IUPAC nomenclature book, instrument and software vendors and developers and other user-submitted terms. Although its structure and use is linked to mzML, mzIdentML and mzQuantML, it is dynamically maintained in a OBO format. The PSI-Mass Spectrometry (MS) CV contains all the terms used in the PSI MS–related data standards. The CV contains a logical hierarchical structure to ensure ease of maintenance and the development of software that makes use of complex semantics. The CV contains terms required for a complete description of an MS analysis pipeline used in proteomics, including sample labeling, digestion enzymes, instrumentation parts and parameters, software used for identification and quantification of peptides/proteins and the parameters and scores used to determine their significance. Owing to the range of topics covered by the CV, collaborative development across several PSI working groups, including proteomics research groups, instrument manufacturers and software vendors, was necessary.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11020},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11142},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11264},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11425}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Proteomics","Life Science"],"domains":["Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":976,"pubmed_id":23482073,"title":"The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary.","year":2013,"url":"http://doi.org/10.1093/database/bat009","authors":"Mayer G,Montecchi-Palazzi L,Ovelleiro D,Jones AR,Binz PA,Deutsch EW,Chambers M,Kallhardt M,Levander F,Shofstahl J,Orchard S,Vizcaino JA,Hermjakob H,Stephan C,Meyer HE,Eisenacher M","journal":"Database (Oxford)","doi":"10.1093/database/bat009","created_at":"2021-09-30T08:24:07.972Z","updated_at":"2021-09-30T08:24:07.972Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":158,"relation":"undefined"}],"grants":[{"id":6926,"fairsharing_record_id":1179,"organisation_id":2376,"relation":"funds","created_at":"2021-09-30T09:28:19.143Z","updated_at":"2021-09-30T09:28:19.143Z","grant_id":null,"is_lead":false,"saved_state":{"id":2376,"name":"Protein Unit for Research in Europe (PURE)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6932,"fairsharing_record_id":1179,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:28:19.388Z","updated_at":"2021-09-30T09:28:19.388Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6931,"fairsharing_record_id":1179,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:19.356Z","updated_at":"2021-09-30T09:31:45.067Z","grant_id":1310,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT085949MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8312,"fairsharing_record_id":1179,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:32:01.758Z","updated_at":"2021-09-30T09:32:01.806Z","grant_id":1435,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"P50 GM076547","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6927,"fairsharing_record_id":1179,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:28:19.186Z","updated_at":"2021-09-30T09:28:19.186Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6928,"fairsharing_record_id":1179,"organisation_id":1734,"relation":"funds","created_at":"2021-09-30T09:28:19.235Z","updated_at":"2021-09-30T09:28:19.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":1734,"name":"Luxembourg Centre for Systems Biomedicine (LCSB), Luxembourg, Luxembourg","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6925,"fairsharing_record_id":1179,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:28:19.106Z","updated_at":"2021-09-30T09:30:49.973Z","grant_id":892,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01 GM087221","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6930,"fairsharing_record_id":1179,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:19.319Z","updated_at":"2021-09-30T09:30:56.450Z","grant_id":944,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000909/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6929,"fairsharing_record_id":1179,"organisation_id":2378,"relation":"funds","created_at":"2021-09-30T09:28:19.277Z","updated_at":"2021-09-30T09:31:35.310Z","grant_id":1237,"is_lead":false,"saved_state":{"id":2378,"name":"ProteomeXchange","grant":"EU FP7 grant number 260558","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8292,"fairsharing_record_id":1179,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:56.141Z","updated_at":"2021-09-30T09:31:56.199Z","grant_id":1394,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/H024654/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1180","type":"fairsharing_records","attributes":{"created_at":"2021-05-26T13:29:20.000Z","updated_at":"2024-03-27T22:40:23.648Z","metadata":{"doi":"10.25504/FAIRsharing.cf62c2","name":"Data, Optimization, Model and Evaluation in Machine Learning","status":"ready","contacts":[{"contact_name":"Fotis E. Psomopoulos","contact_email":"fpsom@certh.gr"}],"homepage":"https://dome-ml.org/","citations":[{"doi":"10.1038/s41592-021-01205-4","pubmed_id":null,"publication_id":3287}],"identifier":1180,"description":"Data, Optimization, Model and Evaluation in Machine Learning (DOME-ML, or DOME) is a set of community-wide guidelines, recommendations and checklists spanning these four areas aiming to help establish standards of supervised machine learning validation in biology. The recommendations are formulated as questions to anyone wishing to pursue implementation of a machine learning algorithm. Answers to these questions can be included, for example, in the supplementary material of published papers.","abbreviation":"DOME-ML","support_links":[{"url":"https://github.com/MachineLearning-ELIXIR/dome-ml","name":"GitHub Project","type":"Github"},{"url":"https://github.com/MachineLearning-ELIXIR/dome-ml/tree/main/data","name":"Examples of Use","type":"Github"}],"year_creation":2021},"legacy_ids":["bsg-001610","bsg-s001610"],"name":"FAIRsharing record for: Data, Optimization, Model and Evaluation in Machine Learning","abbreviation":"DOME-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.cf62c2","doi":"10.25504/FAIRsharing.cf62c2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data, Optimization, Model and Evaluation in Machine Learning (DOME-ML, or DOME) is a set of community-wide guidelines, recommendations and checklists spanning these four areas aiming to help establish standards of supervised machine learning validation in biology. The recommendations are formulated as questions to anyone wishing to pursue implementation of a machine learning algorithm. Answers to these questions can be included, for example, in the supplementary material of published papers.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19498}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biology"],"domains":["Validation","Algorithm","Machine learning"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":3287,"pubmed_id":null,"title":"DOME: recommendations for supervised machine learning validation in biology","year":2021,"url":"http://dx.doi.org/10.1038/s41592-021-01205-4","authors":"Walsh, Ian; Fishman, Dmytro; Garcia-Gasulla, Dario; Titma, Tiina; Pollastri, Gianluca; Capriotti, Emidio; Casadio, Rita; Capella-Gutierrez, Salvador; Cirillo, Davide; Del Conte, Alessio; Dimopoulos, Alexandros C.; Del Angel, Victoria Dominguez; Dopazo, Joaquin; Fariselli, Piero; Fernández, José Maria; Huber, Florian; Kreshuk, Anna; Lenaerts, Tom; Martelli, Pier Luigi; Navarro, Arcadi; Broin, Pilib Ó; Piñero, Janet; Piovesan, Damiano; Reczko, Martin; Ronzano, Francesco; Satagopam, Venkata; Savojardo, Castrense; Spiwok, Vojtech; Tangaro, Marco Antonio; Tartari, Giacomo; Salgado, David; Valencia, Alfonso; Zambelli, Federico; Harrow, Jennifer; Psomopoulos, Fotis E.; Tosatto, Silvio C. E.; undefined, undefined; ","journal":"Nat Methods","doi":"10.1038/s41592-021-01205-4","created_at":"2022-03-31T08:53:04.402Z","updated_at":"2022-03-31T08:53:04.402Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1328,"relation":"undefined"}],"grants":[{"id":10006,"fairsharing_record_id":1180,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.584Z","updated_at":"2022-10-13T09:43:38.584Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":6933,"fairsharing_record_id":1180,"organisation_id":845,"relation":"maintains","created_at":"2021-09-30T09:28:19.469Z","updated_at":"2021-09-30T09:28:19.469Z","grant_id":null,"is_lead":true,"saved_state":{"id":845,"name":"ELIXIR Machine Learning Focus Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1181","type":"fairsharing_records","attributes":{"created_at":"2020-12-10T11:40:05.000Z","updated_at":"2022-07-20T12:06:04.503Z","metadata":{"doi":"10.25504/FAIRsharing.4e6af5","name":"UK Archival Thesaurus","status":"ready","contacts":[],"homepage":"https://ukat.aim25.com/","citations":[],"identifier":1181,"description":"UK Archival Thesaurus (UKAT) is a subject thesaurus created for the archive sector in the United Kingdom. It is a controlled vocabulary that archives can use when indexing their collections and catalogues. It is intended to improve access to archives by subject, ensure that users of archives can carry out effective subject searches of archives across the UK, and promote the involvement in archives by groups which are under-represented among archive users by providing subject terms which reflect their histories and experiences. UKAT is based on the structure of the UNESCO Thesaurus, and covers education, science, culture, social/human sciences, information, communication, politics, law and economics. UNESCO was used as the basis for UKAT because a number of archives and archive projects, including The Archives Hub, had adopted it for indexing purposes. However, UNESCO sometimes lacks the depth of detailed terminology required by UK archives. UKAT therefore incorporates terms that UK repositories and projects have contributed, or have been sourced from other schemes such as Library of Congress Subject Headings and the British Education Thesaurus. Particular emphasis has been given to incorporating terms reflecting the histories and experiences of groups that are under-represented among archive users. This aims to encourage participation in archival heritage, in line with national priorities for the sector.","abbreviation":"UKAT","support_links":[{"url":"https://ukat.aim25.com/contact-us/","name":"Contact Form","type":"Contact form"}],"year_creation":2003},"legacy_ids":["bsg-001556","bsg-s001556"],"name":"FAIRsharing record for: UK Archival Thesaurus","abbreviation":"UKAT","url":"https://fairsharing.org/10.25504/FAIRsharing.4e6af5","doi":"10.25504/FAIRsharing.4e6af5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UK Archival Thesaurus (UKAT) is a subject thesaurus created for the archive sector in the United Kingdom. It is a controlled vocabulary that archives can use when indexing their collections and catalogues. It is intended to improve access to archives by subject, ensure that users of archives can carry out effective subject searches of archives across the UK, and promote the involvement in archives by groups which are under-represented among archive users by providing subject terms which reflect their histories and experiences. UKAT is based on the structure of the UNESCO Thesaurus, and covers education, science, culture, social/human sciences, information, communication, politics, law and economics. UNESCO was used as the basis for UKAT because a number of archives and archive projects, including The Archives Hub, had adopted it for indexing purposes. However, UNESCO sometimes lacks the depth of detailed terminology required by UK archives. UKAT therefore incorporates terms that UK repositories and projects have contributed, or have been sourced from other schemes such as Library of Congress Subject Headings and the British Education Thesaurus. Particular emphasis has been given to incorporating terms reflecting the histories and experiences of groups that are under-represented among archive users. This aims to encourage participation in archival heritage, in line with national priorities for the sector.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Culture","Social Science","Education Science","Natural Science","Cultural Studies","Political Science","Communication Science"],"domains":["Resource collection"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6934,"fairsharing_record_id":1181,"organisation_id":1315,"relation":"maintains","created_at":"2021-09-30T09:28:19.510Z","updated_at":"2021-09-30T09:28:19.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":1315,"name":"IMAGIZ, London, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":6935,"fairsharing_record_id":1181,"organisation_id":2047,"relation":"funds","created_at":"2021-09-30T09:28:19.551Z","updated_at":"2021-09-30T09:28:19.551Z","grant_id":null,"is_lead":false,"saved_state":{"id":2047,"name":"National Lottery Heritage Fund, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6936,"fairsharing_record_id":1181,"organisation_id":2807,"relation":"funds","created_at":"2021-09-30T09:28:19.590Z","updated_at":"2021-09-30T09:28:19.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":2807,"name":"The National Archives, Kew, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6937,"fairsharing_record_id":1181,"organisation_id":107,"relation":"maintains","created_at":"2021-09-30T09:28:19.627Z","updated_at":"2021-09-30T09:28:19.627Z","grant_id":null,"is_lead":true,"saved_state":{"id":107,"name":"Archives in London and the M25 (AIM25), London, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1206","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-29T08:54:25.570Z","metadata":{"doi":"10.25504/FAIRsharing.a55z32","name":"Minimal Information about a high throughput SEQuencing Experiment","status":"ready","contacts":[],"homepage":"https://doi.org/10.5281/zenodo.5706412","citations":[],"identifier":1206,"description":"MINSEQE describes the Minimum Information about a high-throughput nucleotide SEQuencing Experiment that is needed to enable the unambiguous interpretation and facilitate reproduction of the results of the experiment. By analogy to the MIAME guidelines for microarray experiments, adherence to the MINSEQE guidelines will improve integration of multiple experiments across different modalities, thereby maximising the value of high-throughput research. Metadata collection template includes critical information such as: 1) The description of the biological system, samples, and the experimental variables being studied, 2) The sequence read data for each assay, 3) The ‘final’ processed (or summary) data for the set of assays in the study, 4) General information about the experiment and sample-data relationships, and 5) Essential experimental and data processing protocols.\n\nNOTE: The provided resource documentation at Zenodo contains version 1.0 of the MINSEQE guidelines, which originated from discussions at the March 2008 Functional Genomics Data (FGED) Society-hosted workshop held in Berkeley, CA, USA. The FGED Society was operational from 1999-2021.","abbreviation":"MINSEQE","support_links":[{"url":"https://www.youtube.com/user/fgedsociety/","name":"FGED YouTube Channel","type":"Video"},{"url":"https://www.facebook.com/FGED.Society","name":"Facebook","type":"Facebook"},{"url":"http://mibbi.sourceforge.net/projects/MINSEQE.shtml","name":"Original MIBBI Page","type":"Help documentation"},{"url":"https://twitter.com/FGED","name":"@FGED","type":"Twitter"},{"url":"https://www.fged.org/projects/minseqe/","name":"FGED-MINSEQE Original Landing Page","type":"Other"},{"url":"https://www.ncbi.nlm.nih.gov/geo/info/MIAME.html","name":"MINSEQE Recommendations by GEO","type":"Other"}],"year_creation":2008},"legacy_ids":["bsg-000174","bsg-s000174"],"name":"FAIRsharing record for: Minimal Information about a high throughput SEQuencing Experiment","abbreviation":"MINSEQE","url":"https://fairsharing.org/10.25504/FAIRsharing.a55z32","doi":"10.25504/FAIRsharing.a55z32","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINSEQE describes the Minimum Information about a high-throughput nucleotide SEQuencing Experiment that is needed to enable the unambiguous interpretation and facilitate reproduction of the results of the experiment. By analogy to the MIAME guidelines for microarray experiments, adherence to the MINSEQE guidelines will improve integration of multiple experiments across different modalities, thereby maximising the value of high-throughput research. Metadata collection template includes critical information such as: 1) The description of the biological system, samples, and the experimental variables being studied, 2) The sequence read data for each assay, 3) The ‘final’ processed (or summary) data for the set of assays in the study, 4) General information about the experiment and sample-data relationships, and 5) Essential experimental and data processing protocols.\n\nNOTE: The provided resource documentation at Zenodo contains version 1.0 of the MINSEQE guidelines, which originated from discussions at the March 2008 Functional Genomics Data (FGED) Society-hosted workshop held in Berkeley, CA, USA. The FGED Society was operational from 1999-2021.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18269},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11146},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11570},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12411},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13902},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14560}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Functional Genomics","Epigenomics","Metagenomics","Genomics","Phylogenomics","Transcriptomics","Omics"],"domains":["Resource metadata","Experimental measurement","Biological sample annotation","Next generation DNA sequencing","DNA sequencing assay","Sequencing"],"taxonomies":["All"],"user_defined_tags":["Document metadata","Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":3559,"pubmed_id":null,"title":"MINSEQE: Minimum Information about a high-throughput Nucleotide SeQuencing Experiment - a proposal for standards in functional genomic data reporting","year":2012,"url":"https://doi.org/10.5281/zenodo.5706412","authors":"Brazma, Alvis; Ball, Catherine; Bumgarner, Roger; Furlanello, Cesare; Miller, Michael; Quackenbush, John; Reich, Michael; Rustici, Gabriella; Stoeckert, Chris; Trutane, Stephen Chervitz; Taylor, Ronald C; ","journal":"Zenodo","doi":"10.5281/zenodo.5706412","created_at":"2022-08-23T00:08:28.827Z","updated_at":"2022-08-23T00:08:28.827Z"},{"id":3563,"pubmed_id":null,"title":"Transcriptomics data availability and reusability in the transition from microarray to next-generation sequencing","year":2021,"url":"http://dx.doi.org/10.1101/2020.12.31.425022","authors":"Rustici, Gabriella; Williams, Eleanor; Barzine, Mitra; Brazma, Alvis; Bumgarner, Roger; Chierici, Marco; Furlanello, Cesare; Greger, Liliana; Jurman, Giuseppe; Miller, Michael; Ouellette, B.F. Francis; Quackenbush, John; Reich, Michael; Stoeckert, Christian J.; Taylor, Ronald C.; Trutane, Stephen Chervitz; Weller, Jennifer; Wilhelm, Brian; Winegarden, Neil; ","journal":"bioRxiv","doi":"10.1101/2020.12.31.425022","created_at":"2022-08-23T20:55:23.462Z","updated_at":"2022-08-23T20:55:23.462Z"},{"id":3564,"pubmed_id":null,"title":"A draft proposal for the required Minimum Information about a high- throughput Nucleotide SeQuencing Experiment – MINSEQE","year":2008,"url":"https://drive.google.com/file/d/1XjUoSHKMFQXHc01tr-IDAw0eNIQB7C-M/view","authors":"FGED Society Workshop","journal":"Online","doi":"","created_at":"2022-08-23T20:57:58.583Z","updated_at":"2022-08-23T20:57:58.583Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2504,"relation":"applies_to_content"}],"grants":[{"id":6994,"fairsharing_record_id":1206,"organisation_id":1073,"relation":"maintains","created_at":"2021-09-30T09:28:22.018Z","updated_at":"2021-09-30T09:28:22.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":1073,"name":"Functional Genomics Data Society (FGED); MINSEQE working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1207","type":"fairsharing_records","attributes":{"created_at":"2019-11-07T12:41:46.000Z","updated_at":"2022-07-20T09:59:40.896Z","metadata":{"doi":"10.25504/FAIRsharing.XykycZ","name":"Transcription Factor Class","status":"ready","contacts":[{"contact_name":"Edgar Wingender","contact_email":"edgar.wingender@bioinf.med.uni-goettingen.de"}],"homepage":"http://tfclass.bioinf.med.uni-goettingen.de/index.jsf","citations":[{"doi":"10.1093/nar/gkx987","pubmed_id":29087517,"publication_id":2619}],"identifier":1207,"description":"TFClass is a resource that classifies eukaryotic transcription factors (TFs) according to their DNA-binding domains. Combining information from different resources, manually checking the retrieved mammalian TF sequences and applying extensive phylogenetic analyses, \u003e39,000 TFs from up to 41 mammalian species were assigned to the Superclasses, Classes, Families and Subfamilies of TFClass. TFClass provides corresponding sequence collections in FASTA format; sequence logos and phylogenetic trees at different classification levels; predicted TF binding sites for human, mouse, dog and cow genomes; and links to several external databases.","abbreviation":"TFClass","year_creation":2012},"legacy_ids":["bsg-001401","bsg-s001401"],"name":"FAIRsharing record for: Transcription Factor Class","abbreviation":"TFClass","url":"https://fairsharing.org/10.25504/FAIRsharing.XykycZ","doi":"10.25504/FAIRsharing.XykycZ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TFClass is a resource that classifies eukaryotic transcription factors (TFs) according to their DNA-binding domains. Combining information from different resources, manually checking the retrieved mammalian TF sequences and applying extensive phylogenetic analyses, \u003e39,000 TFs from up to 41 mammalian species were assigned to the Superclasses, Classes, Families and Subfamilies of TFClass. TFClass provides corresponding sequence collections in FASTA format; sequence logos and phylogenetic trees at different classification levels; predicted TF binding sites for human, mouse, dog and cow genomes; and links to several external databases.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12543}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Phylogenetics","Transcriptomics"],"domains":["Expression data","Transcription factor binding site prediction","Binding","Transcription factor","Binding site"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2619,"pubmed_id":29087517,"title":"TFClass: expanding the classification of human transcription factors to their mammalian orthologs.","year":2017,"url":"http://doi.org/10.1093/nar/gkx987","authors":"Wingender E,Schoeps T,Haubrock M,Krull M,Donitz J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx987","created_at":"2021-09-30T08:27:21.542Z","updated_at":"2021-09-30T11:29:40.638Z"}],"licence_links":[],"grants":[{"id":6995,"fairsharing_record_id":1207,"organisation_id":1422,"relation":"maintains","created_at":"2021-09-30T09:28:22.049Z","updated_at":"2021-09-30T09:28:22.049Z","grant_id":null,"is_lead":true,"saved_state":{"id":1422,"name":"Institute of Medical Bioinformatics, University Medical Center Goettingen, Georg August University, Goettingen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1220","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-07T16:03:01.839Z","metadata":{"doi":"10.25504/FAIRsharing.fj07xj","name":"NCBI Taxonomy","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/taxonomy","citations":[{"doi":"10.1093/database/baaa062","pubmed_id":32761142,"publication_id":3045}],"identifier":1220,"description":"The NCBI Taxonomy is a database of taxonomic information. It does not follow a single taxonomic treatise but rather attempts to incorporate phylogenetic and taxonomic knowledge from a variety of sources, including the published literature, web-based databases, and the advice of sequence submitters and outside taxonomy experts.","abbreviation":"NCBITAXON","support_links":[{"url":"https://www.ncbi.nlm.nih.gov/Taxonomy/taxonomyhome.html/index.cgi?chapter=howlink","name":"Linking to the NCBI Taxonomy Database","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK53758/","name":"Entrez Taxonomy Quick Start","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK21100/","name":"NCBI Handbook: The Taxonomy Project","type":"Help documentation"},{"url":"https://github.com/obophenotype/ncbitaxon","name":"GitHub Repository (for NCBITaxon Ontology)","type":"Github"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCBITAXON","name":"NCBITAXON","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ncbitaxon.html","name":"ncbitaxon","portal":"OBO Foundry"},{"url":"https://www.re3data.org/repository/r3d100010415","name":"re3data:r3d100010415","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003256","name":"SciCrunch:RRID:SCR_003256","portal":"SciCrunch"}]},"legacy_ids":["bsg-000154","bsg-s000154"],"name":"FAIRsharing record for: NCBI Taxonomy","abbreviation":"NCBITAXON","url":"https://fairsharing.org/10.25504/FAIRsharing.fj07xj","doi":"10.25504/FAIRsharing.fj07xj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCBI Taxonomy is a database of taxonomic information. It does not follow a single taxonomic treatise but rather attempts to incorporate phylogenetic and taxonomic knowledge from a variety of sources, including the published literature, web-based databases, and the advice of sequence submitters and outside taxonomy experts.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17575},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10873},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11815},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11964},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12206}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Phylogenetics","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":815,"pubmed_id":29140468,"title":"GenBank","year":2017,"url":"http://doi.org/10.1093/nar/gkx1094","authors":"Benson DA,Cavanaugh M,Clark K,Karsch-Mizrachi I,Ostell J,Pruitt K,Sayers EW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1094","created_at":"2021-09-30T08:23:49.901Z","updated_at":"2021-09-30T11:28:51.967Z"},{"id":2263,"pubmed_id":22139910,"title":"The NCBI Taxonomy database","year":2011,"url":"http://doi.org/10.1093/nar/gkr1178","authors":"Federhen S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1178","created_at":"2021-09-30T08:26:35.347Z","updated_at":"2021-09-30T11:29:32.104Z"},{"id":3045,"pubmed_id":32761142,"title":"NCBI Taxonomy: a comprehensive update on curation, resources and tools.","year":2020,"url":"http://doi.org/baaa062","authors":"Schoch CL,Ciufo S,Domrachev M,Hotton CL,Kannan S,Khovanskaya R,Leipe D,Mcveigh R,O'Neill K,Robbertse B,Sharma S,Soussov V,Sullivan JP,Sun L,Turner S,Karsch-Mizrachi I","journal":"Database (Oxford)","doi":"10.1093/database/baaa062","created_at":"2021-09-30T08:28:15.274Z","updated_at":"2021-09-30T08:28:15.274Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2071,"relation":"undefined"}],"grants":[{"id":7013,"fairsharing_record_id":1220,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:22.767Z","updated_at":"2021-09-30T09:28:22.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7015,"fairsharing_record_id":1220,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:22.846Z","updated_at":"2021-09-30T09:28:22.846Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7014,"fairsharing_record_id":1220,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:28:22.804Z","updated_at":"2021-09-30T09:28:22.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1222","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:01.521Z","metadata":{"doi":"10.25504/FAIRsharing.x964fb","name":"MicroArray Gene Expression Markup Language","status":"deprecated","contacts":[{"contact_name":"Ugis Sarkans","contact_email":"ugis@ebi.ac.uk","contact_orcid":"0000-0001-9227-8488"}],"homepage":"http://www.mged.org/Workgroups/MAGE/mage-ml.html","identifier":1222,"description":"This document is a standard that addresses the representation of gene expression data and relevant annotations, as well as mechanisms for exchanging these data. The field of gene expression experiments has several distinct technologies that a standard must include (e.g., single vs. dual channel experiments, cDNA vs. oligonucleotides). Because of these different technologies and different types of gene expression experiments, it is not expected that all aspects of the standard will be used by all organizations. With the acceptance of XML Metadata Interchange as an OMG standard it is possible to specify a normative UML model using a tool such as Rational Rose that describes the data structures for Gene Expression/","abbreviation":"MAGE-ML","support_links":[{"url":"http://www.mged.org/contact.html","type":"Contact form"},{"url":"http://sourceforge.net/p/mged/mailman/mged-mage/","type":"Mailing list"},{"url":"http://www.omg.org/technology/documents/formal/gene_expression.htm","type":"Help documentation"},{"url":"http://sourceforge.net/projects/mged/files/OMG%20Model/","type":"Help documentation"},{"url":"http://www.mged.org/Workgroups/MAGE/mage-ml.html","type":"Help documentation"}],"deprecation_date":"2016-02-16","deprecation_reason":"This is a deprecated format and major microarray databases such as ArrayExpress no longer encourage its use. Please see the FAIRsharing record for MAGE-TAB (https://FAIRsharing.org/bsg-000080) or ISA-TAB (https://FAIRsharing.org/bsg-000078) instead."},"legacy_ids":["bsg-000573","bsg-s000573"],"name":"FAIRsharing record for: MicroArray Gene Expression Markup Language","abbreviation":"MAGE-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.x964fb","doi":"10.25504/FAIRsharing.x964fb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document is a standard that addresses the representation of gene expression data and relevant annotations, as well as mechanisms for exchanging these data. The field of gene expression experiments has several distinct technologies that a standard must include (e.g., single vs. dual channel experiments, cDNA vs. oligonucleotides). Because of these different technologies and different types of gene expression experiments, it is not expected that all aspects of the standard will be used by all organizations. With the acceptance of XML Metadata Interchange as an OMG standard it is possible to specify a normative UML model using a tool such as Rational Rose that describes the data structures for Gene Expression/","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11175},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12055}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Transcriptomics","Comparative Genomics"],"domains":["Expression data","Ribonucleic acid","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":704,"pubmed_id":12225585,"title":"Design and implementation of microarray gene expression markup language (MAGE-ML).","year":2002,"url":"http://doi.org/10.1186/gb-2002-3-9-research0046","authors":"Spellman PT, Miller M, Stewart J, Troup C, Sarkans U, Chervitz S, Bernhart D, Sherlock G, Ball C, Lepage M, Swiatek M, Marks WL, Goncalves J, Markel S, Iordan D, Shojatalab M, Pizarro A, White J, Hubley R, Deutsch E, Senger M, Aronow BJ, Robinson A, Bassett D, Stoeckert CJ Jr, Brazma A.","journal":"Genome Biology","doi":"10.1186/gb-2002-3-9-research0046","created_at":"2021-09-30T08:23:37.596Z","updated_at":"2021-09-30T08:23:37.596Z"}],"licence_links":[],"grants":[{"id":7016,"fairsharing_record_id":1222,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:22.897Z","updated_at":"2021-09-30T09:28:22.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7017,"fairsharing_record_id":1222,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:28:22.934Z","updated_at":"2021-09-30T09:32:25.822Z","grant_id":1616,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","grant":"DE-FG02-00ER62893","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1226","type":"fairsharing_records","attributes":{"created_at":"2015-08-14T13:14:29.000Z","updated_at":"2022-07-20T10:09:06.401Z","metadata":{"doi":"10.25504/FAIRsharing.658tcg","name":"Observational Medical Outcomes Partnership Standardized Vocabularies","status":"ready","contacts":[{"contact_name":"Support Team","contact_email":"support@odysseusinc.com"}],"homepage":"https://www.ohdsi.org/web/wiki/doku.php?id=documentation:vocabulary:sidebar","identifier":1226,"description":"The OMOP Standardized Vocabularies combine a number of different vocabularies that are used for different aspects of recording healthcare information. These different purposes cause the vocabularies to come with different formats, quality, comprehensiveness and coverage, and life cycle. Even though the content of the vocabularies are left intact, the new format and structural elements will result in a different representation of each vocabulary than its native form.","abbreviation":"OMOP Standardized Vocabularies","support_links":[{"url":"https://www.ohdsi.org/data-standardization/","name":"Data Standardization at OHDSI","type":"Help documentation"},{"url":"https://github.com/OHDSI/OMOP-Standardized-Vocabularies","name":"Release Notes","type":"Github"}]},"legacy_ids":["bsg-000615","bsg-s000615"],"name":"FAIRsharing record for: Observational Medical Outcomes Partnership Standardized Vocabularies","abbreviation":"OMOP Standardized Vocabularies","url":"https://fairsharing.org/10.25504/FAIRsharing.658tcg","doi":"10.25504/FAIRsharing.658tcg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OMOP Standardized Vocabularies combine a number of different vocabularies that are used for different aspects of recording healthcare information. These different purposes cause the vocabularies to come with different formats, quality, comprehensiveness and coverage, and life cycle. Even though the content of the vocabularies are left intact, the new format and structural elements will result in a different representation of each vocabulary than its native form.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12218},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12479},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16962}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Clinical Studies","Health Science","Preclinical Studies"],"domains":["Data identity and mapping"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":807,"pubmed_id":null,"title":"A Systematic Statistical Approach to Evaluating Evidence from Observational Studies","year":2014,"url":"http://doi.org/10.1146/annurev-statistics-022513-115645","authors":"David Madigan, Paul E. Stang, Jesse A. Berlin, Martijn Schuemie, J. Marc Overhage, Marc A. Suchard, Bill Dumouchel, Abraham G. Hartzema, and Patrick B. Ryan","journal":"Annual Review of Statistics and Its Application","doi":"10.1146/annurev-statistics-022513-115645","created_at":"2021-09-30T08:23:49.004Z","updated_at":"2021-09-30T08:23:49.004Z"}],"licence_links":[],"grants":[{"id":7022,"fairsharing_record_id":1226,"organisation_id":2212,"relation":"maintains","created_at":"2021-09-30T09:28:23.119Z","updated_at":"2021-09-30T09:28:23.119Z","grant_id":null,"is_lead":true,"saved_state":{"id":2212,"name":"Observational Health Data Sciences and Informatics (OHDSI),","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1227","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T09:14:39.000Z","updated_at":"2024-03-21T13:59:04.067Z","metadata":{"doi":"10.25504/FAIRsharing.f67zb7","name":"LINCS Pilot Phase 1 Metadata Standards: RNAi Reagents","status":"deprecated","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"http://www.lincsproject.org/LINCS/data/previous-standards","identifier":1227,"description":"The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. RNA interference is a standard methodology to transiently knock down gene expression in living cells. This can be achieved using different types of small RNA molecules, including siRNA, shRNA, and miRNA. Information that is relevant to identify and describe these perturbations include probe ID, name, source/provider, target gene symbol and accession number, sequence of the probe, and modifications to the probe (e.g., chemical modification) if any are specified.","abbreviation":"LINCS 1: RNAi Reagents","support_links":[{"url":"http://www.lincsproject.org/LINCS/files/LINCS_DWG_siRNAshRNAReagents_Metadata_Release_Jul-31-2012.pdf","type":"Help documentation"}],"year_creation":2012,"deprecation_date":"2017-03-28","deprecation_reason":"This standard was a pilot study for the LINCS 2 Nucleic Acid Reagents standard (https://biosharing.org/bsg-s000699) and as such has been superseded."},"legacy_ids":["bsg-000665","bsg-s000665"],"name":"FAIRsharing record for: LINCS Pilot Phase 1 Metadata Standards: RNAi Reagents","abbreviation":"LINCS 1: RNAi Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.f67zb7","doi":"10.25504/FAIRsharing.f67zb7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Pilot Phase 1 metadata standards annotate reagents outside the context of the experiments in which they were used. RNA interference is a standard methodology to transiently knock down gene expression in living cells. This can be achieved using different types of small RNA molecules, including siRNA, shRNA, and miRNA. Information that is relevant to identify and describe these perturbations include probe ID, name, source/provider, target gene symbol and accession number, sequence of the probe, and modifications to the probe (e.g., chemical modification) if any are specified.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11905}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Expression data","Cellular assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7024,"fairsharing_record_id":1227,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:23.206Z","updated_at":"2021-09-30T09:28:23.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11576,"fairsharing_record_id":1227,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:04.035Z","updated_at":"2024-03-21T13:59:04.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1228","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.228Z","metadata":{"doi":"10.25504/FAIRsharing.22j4p7","name":"Plant Anatomy","status":"deprecated","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/1108","identifier":1228,"description":"Plant Anatomy is a controlled vocabulary of plant morphological and anatomical structures representing organs, tissues, cell types, and their biological relationships based on spatial and developmental organization. This standard is now part of PO.","abbreviation":"PO_PAE","deprecation_date":"2015-12-23","deprecation_reason":"REPLACED BY: This standard has been subsumed into the Plant Ontology (PO) - http://www.plantontology.org - https://biosharing.org/bsg-000633."},"legacy_ids":["bsg-002581","bsg-s002581"],"name":"FAIRsharing record for: Plant Anatomy","abbreviation":"PO_PAE","url":"https://fairsharing.org/10.25504/FAIRsharing.22j4p7","doi":"10.25504/FAIRsharing.22j4p7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Plant Anatomy is a controlled vocabulary of plant morphological and anatomical structures representing organs, tissues, cell types, and their biological relationships based on spatial and developmental organization. This standard is now part of PO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7025,"fairsharing_record_id":1228,"organisation_id":2332,"relation":"maintains","created_at":"2021-09-30T09:28:23.242Z","updated_at":"2021-09-30T09:28:23.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":2332,"name":"Plant Ontology Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7026,"fairsharing_record_id":1228,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:28:23.280Z","updated_at":"2021-09-30T09:28:23.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1223","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:59:47.453Z","metadata":{"doi":"10.25504/FAIRsharing.ajdxzx","name":"CDISC Operational Data Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/odm","identifier":1223,"description":"ODM is a vendor-neutral, platform-independent format (based on XML) for exchanging and archiving clinical and translational research data, along with their associated metadata, administrative data, reference data, and audit information. ODM facilitates the regulatory-compliant acquisition, archival and exchange of metadata and data. It has become the language of choice for representing case report form content in many electronic data capture (EDC) tools. ​","abbreviation":"CDISC ODM","support_links":[{"url":"https://www.cdisc.org/education/course/odm-implementation","name":"ODM Implementation","type":"Training documentation"}]},"legacy_ids":["bsg-000117","bsg-s000117"],"name":"FAIRsharing record for: CDISC Operational Data Model","abbreviation":"CDISC ODM","url":"https://fairsharing.org/10.25504/FAIRsharing.ajdxzx","doi":"10.25504/FAIRsharing.ajdxzx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ODM is a vendor-neutral, platform-independent format (based on XML) for exchanging and archiving clinical and translational research data, along with their associated metadata, administrative data, reference data, and audit information. ODM facilitates the regulatory-compliant acquisition, archival and exchange of metadata and data. It has become the language of choice for representing case report form content in many electronic data capture (EDC) tools. ​","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17345},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11192},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11271},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11805},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11963},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12418},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16959}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Workflow"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":2529,"pubmed_id":26188274,"title":"Standardizing data exchange for clinical research protocols and case report forms: An assessment of the suitability of the Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model (ODM).","year":2015,"url":"http://doi.org/10.1016/j.jbi.2015.06.023","authors":"Huser V,Sastry C,Breymaier M,Idriss A,Cimino JJ","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2015.06.023","created_at":"2021-09-30T08:27:10.237Z","updated_at":"2021-09-30T08:27:10.237Z"}],"licence_links":[],"grants":[{"id":7020,"fairsharing_record_id":1223,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:23.046Z","updated_at":"2021-09-30T09:28:23.046Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7019,"fairsharing_record_id":1223,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:23.004Z","updated_at":"2021-09-30T09:28:23.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1224","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-01T11:56:32.428Z","metadata":{"doi":"10.25504/FAIRsharing.exmkp8","name":"Neuroscience Information Framework Subcellular Ontology","status":"deprecated","contacts":[{"contact_name":"Fahim Imam","contact_email":"smtifahim@gmail.com","contact_orcid":"0000-0003-4752-543X"}],"homepage":"https://neuinfo.org/about/nifvocabularies","citations":[],"identifier":1224,"description":"NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources. A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology that can be used to describe and retrieve neuroscience-relevant resources. NeuroLex is built from our core OWL ontology, NIFSTD, in a modular fashion, with separate modules covering major domains of neuroscience: anatomy, cell, subcellular (the standard described in this record), molecule, function and dysfunction.","abbreviation":"NIFSUBCELL","support_links":[{"url":"info@neuinfo.org","type":"Support email"},{"url":"https://twitter.com/neuinfo","type":"Twitter"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFSUBCELL","name":"NIFSUBCELL","portal":"BioPortal"}],"deprecation_date":"2022-12-01","deprecation_reason":"Incorporated in/superseded by the NIF Standard Ontology (https://fairsharing.org/FAIRsharing.vgw1m6)"},"legacy_ids":["bsg-002835","bsg-s002835"],"name":"FAIRsharing record for: Neuroscience Information Framework Subcellular Ontology","abbreviation":"NIFSUBCELL","url":"https://fairsharing.org/10.25504/FAIRsharing.exmkp8","doi":"10.25504/FAIRsharing.exmkp8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NIF has developed a comprehensive vocabulary for annotating and searching neuroscience resources. A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology that can be used to describe and retrieve neuroscience-relevant resources. NeuroLex is built from our core OWL ontology, NIFSTD, in a modular fashion, with separate modules covering major domains of neuroscience: anatomy, cell, subcellular (the standard described in this record), molecule, function and dysfunction.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NIF - SciCrunch Terms of use","licence_id":581,"licence_url":"https://neuinfo.org/page/terms","link_id":1609,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1225","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T18:39:10.000Z","updated_at":"2021-11-24T13:20:04.703Z","metadata":{"doi":"10.25504/FAIRsharing.c3b573","name":"RDF Data Cube Vocabulary","status":"ready","contacts":[{"contact_name":"Government Linked Data Working Group","contact_email":"public-gld-comments@w3.org"}],"homepage":"http://www.w3.org/TR/vocab-data-cube/","identifier":1225,"description":"The Data Cube vocabulary allows the publishing of multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging and sharing statistical data and metadata among organizations. The Data Cube vocabulary is a core foundation which supports extension vocabularies to enable publication of other aspects of statistical data flows or other multi-dimensional data sets.","abbreviation":null,"support_links":[{"url":"http://www.w3.org/2011/gld/","name":"Government Linked Data (GLD) Working Group (Now Closed)","type":"Help documentation"},{"url":"https://www.w3.org/2001/sw/wiki/Data_Cube_Errata","name":"Data Cube Errata","type":"Help documentation"}]},"legacy_ids":["bsg-001298","bsg-s001298"],"name":"FAIRsharing record for: RDF Data Cube Vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.c3b573","doi":"10.25504/FAIRsharing.c3b573","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Cube vocabulary allows the publishing of multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts. The model underpinning the Data Cube vocabulary is compatible with the cube model that underlies SDMX (Statistical Data and Metadata eXchange), an ISO standard for exchanging and sharing statistical data and metadata among organizations. The Data Cube vocabulary is a core foundation which supports extension vocabularies to enable publication of other aspects of statistical data flows or other multi-dimensional data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Statistics","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["Ireland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":422,"relation":"undefined"}],"grants":[{"id":7021,"fairsharing_record_id":1225,"organisation_id":3214,"relation":"maintains","created_at":"2021-09-30T09:28:23.084Z","updated_at":"2021-09-30T09:28:23.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":3214,"name":"W3C XSL Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1205","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-13T09:44:33.058Z","metadata":{"doi":"10.25504/FAIRsharing.a6r7zs","name":"The bioscientific data analysis and management ontology","status":"ready","contacts":[{"contact_name":"EDAM Core Developers Mailing list","contact_email":"edam-core@elixir-dk.org"}],"homepage":"http://edamontology.org","citations":[{"doi":"10.1093/bioinformatics/btt113","pubmed_id":23479348,"publication_id":1837}],"identifier":1205,"description":"EDAM is a comprehensive ontology of well-established, familiar concepts that are prevalent within bioscientific data analysis and data management (including computational biology, bioinformatics, and bioimage informatics). EDAM includes topics, operations, types of data and data identifiers, and data formats, relevant in data analysis and data management in life sciences. EDAM provides a set of concepts with preferred terms and synonyms, related terms, definitions, and other information - organised into a simple and intuitive hierarchy for convenient use. EDAM is particularly suitable for semantic annotations and categorisation of diverse resources related to data analysis and management: e.g. tools, workflows, learning materials, or standards. EDAM is also useful in data management itself, for recording provenance metadata of processed bioscientific data.","abbreviation":"EDAM","support_links":[{"url":"https://github.com/edamontology/edamontology/issues","name":"EDAM Issue Tracker","type":"Github"},{"url":"https://gitter.im/edamontology/edamontology","name":"Gitter Community Chat","type":"Mailing list"},{"url":"http://elixirmail.cbs.dtu.dk/mailman/listinfo/edam-announce","name":"EDAM Announcements","type":"Mailing list"},{"url":"https://github.com/edamontology/edamontology","name":"GitHub Repository","type":"Github"},{"url":"https://twitter.com/edamontology","name":"@edamontology","type":"Twitter"},{"url":"https://edamontologydocs.readthedocs.io/en/latest/index.html","name":"Documentation","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"https://edamontology.github.io/edam-browser","name":"EDAM Browser"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EDAM","name":"EDAM - Bioscientific data analysis ontology","portal":"BioPortal"},{"url":"http://www.ebi.ac.uk/ols/ontologies/edam","name":"Bioinformatics operations, data types, formats, identifiers and topics","portal":"OLS"}]},"legacy_ids":["bsg-000275","bsg-s000275"],"name":"FAIRsharing record for: The bioscientific data analysis and management ontology","abbreviation":"EDAM","url":"https://fairsharing.org/10.25504/FAIRsharing.a6r7zs","doi":"10.25504/FAIRsharing.a6r7zs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EDAM is a comprehensive ontology of well-established, familiar concepts that are prevalent within bioscientific data analysis and data management (including computational biology, bioinformatics, and bioimage informatics). EDAM includes topics, operations, types of data and data identifiers, and data formats, relevant in data analysis and data management in life sciences. EDAM provides a set of concepts with preferred terms and synonyms, related terms, definitions, and other information - organised into a simple and intuitive hierarchy for convenient use. EDAM is particularly suitable for semantic annotations and categorisation of diverse resources related to data analysis and management: e.g. tools, workflows, learning materials, or standards. EDAM is also useful in data management itself, for recording provenance metadata of processed bioscientific data.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12102}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Life Science","Subject Agnostic"],"domains":["Analysis","Data acquisition","Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Denmark","France","Norway","United Kingdom"],"publications":[{"id":1837,"pubmed_id":23479348,"title":"EDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formats.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt113","authors":"Ison J,Kalas M,Jonassen I,Bolser D,Uludag M,McWilliam H,Malone J,Lopez R,Pettifer S,Rice P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt113","created_at":"2021-09-30T08:25:46.280Z","updated_at":"2021-09-30T08:25:46.280Z"},{"id":3941,"pubmed_id":null,"title":"EDAM: the bioscientific data analysis ontology (update 2021)","year":2021,"url":"https://doi.org/10.7490/f1000research.1118900.1","authors":"Melissa Black, Lucie Lamothe, Hager Eldakroury, Mads Kierkegaard, Ankita Priya, Anne Machinda, Uttam Singh Khanduja, Drashti Patoliya, Rashika Rathi, Tawah Peggy Che Nico, Gloria Umutesi, Claudia Blankenburg, Anita Op, Precious Chieke, Omodolapo Babatunde, Steve Laurie, Steffen Neumann, Veit Schwämmle, Ivan Kuzmin, Chris Hunter, Jonathan Karr, Jon Ison, Alban Gaignard, Bryan Brancotte, Hervé Ménager, Matúš Kalaš","journal":"F1000 Research","doi":"10.7490/f1000research.1118900.1","created_at":"2023-07-11T18:36:14.699Z","updated_at":"2023-07-11T18:36:14.699Z"},{"id":3942,"pubmed_id":null,"title":"edamontology/edamontology: EDAM 1.25","year":2020,"url":"https://doi.org/10.5281/zenodo.822690","authors":"Jon Ison, Matúš Kalaš, Hervé Ménager, Egon Willighagen, Björn Grüning, \u0026 albangaignard","journal":"Zenodo","doi":"10.5281/zenodo.3899895","created_at":"2023-07-11T18:39:39.012Z","updated_at":"2023-07-11T18:39:39.012Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":457,"relation":"undefined"}],"grants":[{"id":6990,"fairsharing_record_id":1205,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:21.899Z","updated_at":"2021-09-30T09:30:32.748Z","grant_id":758,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G02264X/1 EMBOSS-BBR","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6991,"fairsharing_record_id":1205,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:28:21.925Z","updated_at":"2021-09-30T09:32:32.026Z","grant_id":1663,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LHSG-CT-2004-512092","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6989,"fairsharing_record_id":1205,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:28:21.872Z","updated_at":"2021-09-30T09:28:57.985Z","grant_id":34,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"178885/V30","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6992,"fairsharing_record_id":1205,"organisation_id":933,"relation":"funds","created_at":"2021-09-30T09:28:21.961Z","updated_at":"2021-09-30T09:29:29.154Z","grant_id":266,"is_lead":false,"saved_state":{"id":933,"name":"European FP7 EMBRACE project","grant":"FP7-INFRA-2007-211601","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6993,"fairsharing_record_id":1205,"organisation_id":932,"relation":"funds","created_at":"2021-09-30T09:28:21.990Z","updated_at":"2021-09-30T09:29:37.696Z","grant_id":332,"is_lead":false,"saved_state":{"id":932,"name":"European FP7 Capacities Specific Programme","grant":"284209","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1203","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T14:10:09.000Z","updated_at":"2024-04-18T09:22:33.484Z","metadata":{"doi":"10.25504/FAIRsharing.20sbr9","name":"Bioschemas Dataset Profile","status":"ready","contacts":[],"homepage":"https://bioschemas.org/profiles/Dataset/","citations":[],"identifier":1203,"description":"The Bioschemas Dataset Profile describes datasets in the life-sciences using Schema.org-like annotation. The Bioschemas project aims to improve data interoperability in life sciences the use of schema.org markup. This structured information then makes it easier to discover, collate and analyse distributed data. ","abbreviation":null,"support_links":[{"url":"http://lists.w3.org/Archives/Public/public-bioschemas/","name":"Bioschemas W3C mailing list","type":"Mailing list"},{"url":"https://github.com/Bioschemas/specifications","name":"Bioschemas examples on GitHub","type":"Github"},{"url":"https://bioschemas.org/liveDeploys/","name":"Bioschemas live deploys","type":"Help documentation"},{"url":"https://bioschemas.org/tutorials/","name":"Getting Started with Bioschemas","type":"Training documentation"},{"url":"https://twitter.com/bioschemas","name":"BioSchemas","type":"Twitter"},{"url":"https://join.slack.com/t/bioschemas/shared_invite/zt-58y30ewj-Ix2_s6nNLXrhHl51TtDXig","name":"Slack","type":"Forum"}],"year_creation":2019},"legacy_ids":["bsg-001127","bsg-s001127"],"name":"FAIRsharing record for: Bioschemas Dataset Profile","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.20sbr9","doi":"10.25504/FAIRsharing.20sbr9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bioschemas Dataset Profile describes datasets in the life-sciences using Schema.org-like annotation. The Bioschemas project aims to improve data interoperability in life sciences the use of schema.org markup. This structured information then makes it easier to discover, collate and analyse distributed data. ","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18262},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10858},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12945},{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13334},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13336},{"linking_record_name":"Bioschemas Profiles","linking_record_id":4744,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16759}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Computer Science"],"domains":["Annotation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3567,"relation":"applies_to_content"}],"grants":[{"id":6984,"fairsharing_record_id":1203,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:21.695Z","updated_at":"2021-09-30T09:28:21.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11589,"fairsharing_record_id":1203,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:18.659Z","updated_at":"2024-03-21T13:59:18.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11634,"fairsharing_record_id":1203,"organisation_id":4326,"relation":"maintains","created_at":"2024-03-26T18:52:55.809Z","updated_at":"2024-03-26T18:52:55.809Z","grant_id":null,"is_lead":true,"saved_state":{"id":4326,"name":"Bioschemas Governance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaHNFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e817ea83097da01f51087faef031557818045a77/hexagon_color.png?disposition=inline","exhaustive_licences":true}},{"id":"1204","type":"fairsharing_records","attributes":{"created_at":"2018-10-05T18:46:47.000Z","updated_at":"2022-07-20T12:15:56.002Z","metadata":{"doi":"10.25504/FAIRsharing.d42cb9","name":"Qualitative Data Exchange Schema","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@data-archive.ac.uk"}],"homepage":"https://www.data-archive.ac.uk/managing-data/","citations":[],"identifier":1204,"description":"The Qualitative Data Exchange Schema (QuDEx) enables discovery, locating, retrieving and citing complex qualitative data collections in context. QuDEx provides a highly structured and consistently marked-up data and enables rich descriptive metadata for files e.g. interview characteristics, interview setting, type of object. The schema also provides logical links between data objects: text to related audio, images, and other research outputs and preserves references to annotations performed on data.","abbreviation":"QuDEx","support_links":[{"url":"https://www.data-archive.ac.uk/managing-data/standards-and-procedures/","name":"Standards and procedures","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/data-discovery/","name":"Data discovery","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/digital-curation-and-data-publishing/","name":"Digital curation and data publishing","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/information-governance/","name":"Information governance","type":"Help documentation"},{"url":"https://www.data-archive.ac.uk/managing-data/data-preservation-and-trust/","name":"Data preservation and trust","type":"Help documentation"}],"year_creation":2007,"associated_tools":[{"url":"https://data-archive.ac.uk/media/3388/QuDEx_Viewer.zip","name":"QuDEx Viewer"}]},"legacy_ids":["bsg-001305","bsg-s001305"],"name":"FAIRsharing record for: Qualitative Data Exchange Schema","abbreviation":"QuDEx","url":"https://fairsharing.org/10.25504/FAIRsharing.d42cb9","doi":"10.25504/FAIRsharing.d42cb9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Qualitative Data Exchange Schema (QuDEx) enables discovery, locating, retrieving and citing complex qualitative data collections in context. QuDEx provides a highly structured and consistently marked-up data and enables rich descriptive metadata for files e.g. interview characteristics, interview setting, type of object. The schema also provides logical links between data objects: text to related audio, images, and other research outputs and preserves references to annotations performed on data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Resource metadata","Annotation","Multimedia"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":6988,"fairsharing_record_id":1204,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:28:21.849Z","updated_at":"2021-09-30T09:28:21.849Z","grant_id":null,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6986,"fairsharing_record_id":1204,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:28:21.779Z","updated_at":"2021-09-30T09:28:21.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6987,"fairsharing_record_id":1204,"organisation_id":2895,"relation":"maintains","created_at":"2021-09-30T09:28:21.816Z","updated_at":"2021-09-30T09:28:21.816Z","grant_id":null,"is_lead":true,"saved_state":{"id":2895,"name":"UK Data Archive","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1305","type":"fairsharing_records","attributes":{"created_at":"2020-01-22T13:06:45.000Z","updated_at":"2022-07-20T11:20:22.910Z","metadata":{"doi":"10.25504/FAIRsharing.7c683b","name":"Open Provenance Model","status":"ready","contacts":[{"contact_name":"Luc Moreau","contact_email":"l.moreau@ecs.soton.ac.uk"}],"homepage":"https://doi.org/10.1016/j.future.2010.07.005","citations":[{"publication_id":2741}],"identifier":1305,"description":"The Open Provenance Model (OPM) is a model of provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems, by means of a compatibility layer based on a shared provenance model. (2) To allow developers to build and share tools that operate on such a provenance model. (3) To define provenance in a precise, technology-agnostic manner. (4) To support a digital representation of provenance for any 'thing', whether produced by computer systems or not. (5) To allow multiple levels of description to coexist. (6) To define a core set of rules that identify the valid inferences that can be made on provenance representation.","abbreviation":"OPM","support_links":[{"url":"https://openprovenance.org/opm/","name":"OPM Project Page","type":"Help documentation"},{"url":"https://openprovenance.org/opm/tutorial/","name":"Tutorial","type":"Training documentation"}],"year_creation":2007},"legacy_ids":["bsg-001433","bsg-s001433"],"name":"FAIRsharing record for: Open Provenance Model","abbreviation":"OPM","url":"https://fairsharing.org/10.25504/FAIRsharing.7c683b","doi":"10.25504/FAIRsharing.7c683b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Provenance Model (OPM) is a model of provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems, by means of a compatibility layer based on a shared provenance model. (2) To allow developers to build and share tools that operate on such a provenance model. (3) To define provenance in a precise, technology-agnostic manner. (4) To support a digital representation of provenance for any 'thing', whether produced by computer systems or not. (5) To allow multiple levels of description to coexist. (6) To define a core set of rules that identify the valid inferences that can be made on provenance representation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Computer Science"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom","United States"],"publications":[{"id":2741,"pubmed_id":null,"title":"The Open Provenance Model core specification (v1.1)","year":2011,"url":"https://doi.org/10.1016/j.future.2010.07.005","authors":"Moreau, Luc, Clifford, Ben, Freire, Juliana, Futrelle, Joe, Gil, Yolanda, Groth, Paul, Kwasnikowska, Natalia, Miles, Simon, Missier, Paolo, Myers, Jim, Plale, Beth, Simmhan, Yogesh, Stephan, Eric and Van den Bussche","journal":"Future Generation Computer Systems, 27 (6), 743-756","doi":null,"created_at":"2021-09-30T08:27:36.663Z","updated_at":"2021-09-30T08:27:36.663Z"}],"licence_links":[],"grants":[{"id":7171,"fairsharing_record_id":1305,"organisation_id":3144,"relation":"maintains","created_at":"2021-09-30T09:28:28.436Z","updated_at":"2021-09-30T09:28:28.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":3144,"name":"University of Utah, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7173,"fairsharing_record_id":1305,"organisation_id":3069,"relation":"maintains","created_at":"2021-09-30T09:28:28.506Z","updated_at":"2021-09-30T09:28:28.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":3069,"name":"University of Indiana, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7176,"fairsharing_record_id":1305,"organisation_id":3122,"relation":"maintains","created_at":"2021-09-30T09:28:28.657Z","updated_at":"2021-09-30T09:28:28.657Z","grant_id":null,"is_lead":true,"saved_state":{"id":3122,"name":"University of Southampton, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7170,"fairsharing_record_id":1305,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:28.394Z","updated_at":"2021-09-30T09:28:28.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7172,"fairsharing_record_id":1305,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:28:28.474Z","updated_at":"2021-09-30T09:28:28.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7174,"fairsharing_record_id":1305,"organisation_id":1638,"relation":"maintains","created_at":"2021-09-30T09:28:28.578Z","updated_at":"2021-09-30T09:28:28.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":1638,"name":"King's College London, London, United Kingdom","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7175,"fairsharing_record_id":1305,"organisation_id":2284,"relation":"maintains","created_at":"2021-09-30T09:28:28.619Z","updated_at":"2021-09-30T09:28:28.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":2284,"name":"Pacific Northwest National Laboratory, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1306","type":"fairsharing_records","attributes":{"created_at":"2019-12-20T00:29:01.000Z","updated_at":"2023-03-15T08:00:50.205Z","metadata":{"doi":"10.25504/FAIRsharing.aoSBun","name":"International Epidemiology Databases to Evaluate AIDS Data Exchange Standard","status":"ready","contacts":[{"contact_name":"IeDEA Data Harmonization Working Group","contact_email":"harmonist@vumc.org"}],"homepage":"https://redcap.vanderbilt.edu/plugins/iedea/des/","citations":[],"identifier":1306,"description":"The IeDEA Data Exchange Standard (IeDEA DES) is a patient-centric data model designed to support data harmonization and data exchange among HIV clinics participating in the International Epidemiology Databases to Evaluate AIDS (IeDEA, iedea.org). The variables and code lists have been developed to accommodate data originating in both resource-rich and resource-limited settings. The IeDEA DES was forked with permission from the Europe-centric HICDEP HIV data model in 2012.","abbreviation":"IeDEA DES","year_creation":2012},"legacy_ids":["bsg-001423","bsg-s001423"],"name":"FAIRsharing record for: International Epidemiology Databases to Evaluate AIDS Data Exchange Standard","abbreviation":"IeDEA DES","url":"https://fairsharing.org/10.25504/FAIRsharing.aoSBun","doi":"10.25504/FAIRsharing.aoSBun","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IeDEA Data Exchange Standard (IeDEA DES) is a patient-centric data model designed to support data harmonization and data exchange among HIV clinics participating in the International Epidemiology Databases to Evaluate AIDS (IeDEA, iedea.org). The variables and code lists have been developed to accommodate data originating in both resource-rich and resource-limited settings. The IeDEA DES was forked with permission from the Europe-centric HICDEP HIV data model in 2012.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Epidemiology"],"domains":["Electronic health record"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","Denmark","France","Kenya","South Africa","Switzerland","Thailand","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7177,"fairsharing_record_id":1306,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:28.690Z","updated_at":"2021-09-30T09:28:28.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7178,"fairsharing_record_id":1306,"organisation_id":1487,"relation":"maintains","created_at":"2021-09-30T09:28:28.713Z","updated_at":"2021-09-30T09:28:28.713Z","grant_id":null,"is_lead":false,"saved_state":{"id":1487,"name":"International Epidemiology Databases to Evaluate AIDS (IeDEA)","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1307","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T13:26:50.000Z","updated_at":"2022-07-20T11:25:04.130Z","metadata":{"doi":"10.25504/FAIRsharing.4fa657","name":"Potato Ontology","status":"ready","contacts":[{"contact_name":"Crop Ontology Helpdesk","contact_email":"helpdesk@cropontology-curationtool.org"}],"homepage":"https://cropontology.org/term/CO_330:ROOT","citations":[],"identifier":1307,"description":"Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","abbreviation":"CO_330","support_links":[{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001132","bsg-s001132"],"name":"FAIRsharing record for: Potato Ontology","abbreviation":"CO_330","url":"https://fairsharing.org/10.25504/FAIRsharing.4fa657","doi":"10.25504/FAIRsharing.4fa657","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Solanum tuberosum"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[{"id":2802,"pubmed_id":null,"title":"The Potato Ontology: Delimitation of the Domain, Modelling Concepts, and Prospects of Performance","year":2011,"url":"https://link.springer.com/article/10.1007/s11540-010-9184-8","authors":"A. J. Haverkort \u0026 J. L. Top","journal":"Potato Research volume 54, pages119–136(2011)","doi":null,"created_at":"2021-09-30T08:27:44.608Z","updated_at":"2021-09-30T08:27:44.608Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1120,"relation":"undefined"}],"grants":[{"id":7179,"fairsharing_record_id":1307,"organisation_id":489,"relation":"maintains","created_at":"2021-09-30T09:28:28.738Z","updated_at":"2021-09-30T09:28:28.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":489,"name":"CGIAR Research Program on Roots, Tubers and Bananas","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7180,"fairsharing_record_id":1307,"organisation_id":1510,"relation":"maintains","created_at":"2021-09-30T09:28:28.763Z","updated_at":"2021-09-30T09:28:28.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":1510,"name":"International Potato Center (CIP), Peru","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7181,"fairsharing_record_id":1307,"organisation_id":1490,"relation":"maintains","created_at":"2021-09-30T09:28:28.788Z","updated_at":"2021-09-30T09:28:28.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":1490,"name":"International Food Policy and Research Institute (IFPRI), Washington D.C., USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1308","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.389Z","metadata":{"doi":"10.25504/FAIRsharing.jvgfka","name":"Traditional Medicine Meridian Value Sets","status":"ready","contacts":[{"contact_name":"Meri Robinson Nicol","contact_email":"robinsonm@who.int"}],"homepage":"https://bioportal.bioontology.org/ontologies/TM-MER","identifier":1308,"description":"The meridian value set used in the International Classification of Traditional Medicine. The value set for the Signs and Symptoms property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","abbreviation":"TM-MER","support_links":[{"url":"tudorache@stanford.edu","name":"Tania Tudorache","type":"Support email"},{"url":"https://sites.google.com/site/whoictm/home","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TM-MER","name":"TM-MER","portal":"BioPortal"}]},"legacy_ids":["bsg-002706","bsg-s002706"],"name":"FAIRsharing record for: Traditional Medicine Meridian Value Sets","abbreviation":"TM-MER","url":"https://fairsharing.org/10.25504/FAIRsharing.jvgfka","doi":"10.25504/FAIRsharing.jvgfka","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The meridian value set used in the International Classification of Traditional Medicine. The value set for the Signs and Symptoms property of the International Classification of Traditional Medicine (ICTM). The World Health Organization, in consultation with a large group of stakeholders in the areas of Traditional Medicine or Complementary and Alternative Medicine and Health Information Systems, has developed a collaborative project plan to produce an international standard terminology and classification system for Traditional Medicine. This resource is part of an effort to produce an international standard for information on TM that is ready for electronic health records and that will serve as a standard for scientific comparability and communication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7182,"fairsharing_record_id":1308,"organisation_id":1479,"relation":"maintains","created_at":"2021-09-30T09:28:28.822Z","updated_at":"2021-09-30T09:28:28.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":1479,"name":"International Classification of Traditional Medicine Administrators (ICTM)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1309","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2023-09-29T11:54:59.501Z","metadata":{"doi":"10.25504/FAIRsharing.ech3sa","name":"ISO 639-2: Codes for the Representation of Names of Languages Part 2: Alpha-3 Code","status":"ready","contacts":[{"contact_name":"Library of Congress Network Development and MARC Standards Office","contact_email":"iso639-2@loc.gov"}],"homepage":"https://www.iso.org/standard/4767.html","citations":[],"identifier":1309,"description":"ISO 639-2:1998 provides two sets of three-letter alphabetic codes for the representation of names of languages, one for terminology applications and the other for bibliographic applications. The code sets are the same except for twenty-five languages that have variant language codes because of the criteria used for formulating them. The language codes were devised originally for use by libraries, information services, and publishers to indicate language in the exchange of information, especially in computerized systems. ISO 639-2 represents all languages contained in ISO 639-1 and in addition any other language as well as language groups as they may be coded for special purposes when more specificity in coding is needed. The languages listed in ISO 639-1 are a subset of the languages listed in ISO 639-2; every language code in the two-letter code set has a corresponding language code in the alpha-3 list, but not necessarily vice versa.","abbreviation":"ISO639-2:1998","support_links":[{"url":"http://www.loc.gov/standards/iso639-2/faq.html","name":"ISO 639 FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.loc.gov/standards/iso639-2/","name":"General Information","type":"Help documentation"},{"url":"http://www.loc.gov/standards/iso639-2/develop.html","name":"Development Information","type":"Help documentation"},{"url":"http://www.loc.gov/standards/iso639-2/langhome.html","name":"Library of Congress ISO 639-3 Home","type":"Help documentation"}],"year_creation":1998,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ISO639-2","name":"ISO639-2","portal":"BioPortal"}]},"legacy_ids":["bsg-000792","bsg-s000792"],"name":"FAIRsharing record for: ISO 639-2: Codes for the Representation of Names of Languages Part 2: Alpha-3 Code","abbreviation":"ISO639-2:1998","url":"https://fairsharing.org/10.25504/FAIRsharing.ech3sa","doi":"10.25504/FAIRsharing.ech3sa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 639-2:1998 provides two sets of three-letter alphabetic codes for the representation of names of languages, one for terminology applications and the other for bibliographic applications. The code sets are the same except for twenty-five languages that have variant language codes because of the criteria used for formulating them. The language codes were devised originally for use by libraries, information services, and publishers to indicate language in the exchange of information, especially in computerized systems. ISO 639-2 represents all languages contained in ISO 639-1 and in addition any other language as well as language groups as they may be coded for special purposes when more specificity in coding is needed. The languages listed in ISO 639-1 are a subset of the languages listed in ISO 639-2; every language code in the two-letter code set has a corresponding language code in the alpha-3 list, but not necessarily vice versa.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Language"],"countries":["United States","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7183,"fairsharing_record_id":1309,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:28:28.847Z","updated_at":"2021-09-30T09:28:28.847Z","grant_id":null,"is_lead":true,"saved_state":{"id":1712,"name":"Library of Congress","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":10929,"fairsharing_record_id":1309,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:21:11.049Z","updated_at":"2023-09-27T14:21:11.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1310","type":"fairsharing_records","attributes":{"created_at":"2019-12-30T11:23:34.000Z","updated_at":"2023-03-14T16:48:12.222Z","metadata":{"doi":"10.25504/FAIRsharing.jIiytY","name":"Open Data Certificate","status":"ready","contacts":[{"contact_name":"Vladimir Otasevic","contact_email":"vladimir.otasevic@rcub.bg.ac.rs"}],"homepage":"http://certificates.theodi.org/en/","citations":[],"identifier":1310,"description":"Open Data Certificate is a free online tool developed and maintained by the Open Data Institute, to assess and recognise the sustainable publication of quality open data. It assess the legal, practical, technical and social aspects of publishing open data using best practice guidance.","abbreviation":null},"legacy_ids":["bsg-001424","bsg-s001424"],"name":"FAIRsharing record for: Open Data Certificate","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jIiytY","doi":"10.25504/FAIRsharing.jIiytY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Data Certificate is a free online tool developed and maintained by the Open Data Institute, to assess and recognise the sustainable publication of quality open data. It assess the legal, practical, technical and social aspects of publishing open data using best practice guidance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Quality","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["certification"],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7185,"fairsharing_record_id":1310,"organisation_id":2254,"relation":"maintains","created_at":"2021-09-30T09:28:28.896Z","updated_at":"2021-09-30T09:28:28.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":2254,"name":"Open Data Institute (ODI), London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":7184,"fairsharing_record_id":1310,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:28.872Z","updated_at":"2021-09-30T09:28:28.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1311","type":"fairsharing_records","attributes":{"created_at":"2020-02-04T12:09:53.000Z","updated_at":"2022-07-20T11:30:19.024Z","metadata":{"doi":"10.25504/FAIRsharing.94ca5a","name":"Ontology of Experimental Events","status":"ready","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr"}],"homepage":"https://github.com/OpenSILEX/ontology-vocabularies","identifier":1311,"description":"The Ontology of Experimental Events (OEEv) characterizes events that occur during an experiment; for example, moving of plants, dates of sowing, application of a given treatment, harvesting, measurements or sampling for ‐omic measurements, or any category of technical problem. The OEEv ontology contains four groups of events, namely Faciility Management, Scientific Object Management, Trouble and Displacement","abbreviation":"OEEV","support_links":[{"url":"llorenc.cabrera-bosquet@inra.fr","name":"Lloren Cabrera-Bosquet","type":"Support email"}],"year_creation":2018},"legacy_ids":["bsg-001447","bsg-s001447"],"name":"FAIRsharing record for: Ontology of Experimental Events","abbreviation":"OEEV","url":"https://fairsharing.org/10.25504/FAIRsharing.94ca5a","doi":"10.25504/FAIRsharing.94ca5a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Experimental Events (OEEv) characterizes events that occur during an experiment; for example, moving of plants, dates of sowing, application of a given treatment, harvesting, measurements or sampling for ‐omic measurements, or any category of technical problem. The OEEv ontology contains four groups of events, namely Faciility Management, Scientific Object Management, Trouble and Displacement","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Experimental measurement","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2747,"pubmed_id":30152011,"title":"Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System.","year":2018,"url":"http://doi.org/10.1111/nph.15385","authors":"Neveu P,Tireau A,Hilgert N,Negre V,Mineau-Cesari J,Brichet N,Chapuis R,Sanchez I,Pommier C,Charnomordic B,Tardieu F,Cabrera-Bosquet L","journal":"New Phytol","doi":"10.1111/nph.15385","created_at":"2021-09-30T08:27:37.605Z","updated_at":"2021-09-30T08:27:37.605Z"}],"licence_links":[{"licence_name":"Affero GNU GPL v3.0","licence_id":15,"licence_url":"https://www.gnu.org/licenses/agpl-3.0.en.html","link_id":665,"relation":"undefined"}],"grants":[{"id":7186,"fairsharing_record_id":1311,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:28.927Z","updated_at":"2021-09-30T09:28:28.927Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1312","type":"fairsharing_records","attributes":{"created_at":"2019-12-03T14:03:09.000Z","updated_at":"2022-07-20T11:48:50.938Z","metadata":{"doi":"10.25504/FAIRsharing.z87h0e","name":"Minimal Information for Studies of Extracellular Vesicles","status":"ready","contacts":[{"contact_name":"Kenneth Witwer","contact_email":"kwitwer1@jhmi.edu","contact_orcid":"0000-0003-1664-4233"}],"homepage":"https://www.isev.org/misev","citations":[{"doi":"10.1080/20013078.2018.1535750","pubmed_id":30637094,"publication_id":2644}],"identifier":1312,"description":"The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific extracellular vesicle (EV)-associated functional activities, as well as a checklist that summarizes key points. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles (“MISEV”) guidelines for the field in 2014, which have been updated again in 2018.","abbreviation":"MISEV","year_creation":2018},"legacy_ids":["bsg-001419","bsg-s001419"],"name":"FAIRsharing record for: Minimal Information for Studies of Extracellular Vesicles","abbreviation":"MISEV","url":"https://fairsharing.org/10.25504/FAIRsharing.z87h0e","doi":"10.25504/FAIRsharing.z87h0e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific extracellular vesicle (EV)-associated functional activities, as well as a checklist that summarizes key points. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles (“MISEV”) guidelines for the field in 2014, which have been updated again in 2018.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Cell Biology","Biology"],"domains":["Vesicle"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2644,"pubmed_id":30637094,"title":"Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines","year":2019,"url":"http://doi.org/10.1080/20013078.2018.1535750","authors":"Théry C, Witwer KW, Aikawa E, Alcaraz MJ, Anderson JD, Andriantsitohaina R, Antoniou A, Arab T, Archer F, Atkin-Smith GK, Ayre DC, Bach JM, Bachurski D, Baharvand H, Balaj L, Baldacchino S, Bauer NN, Baxter AA, Bebawy M, Beckham C, Bedina Zavec A, Benmoussa A, Berardi AC, Bergese P, Bielska E, Blenkiron C, Bobis-Wozowicz S, Boilard E, Boireau W, Bongiovanni A, Borràs FE, Bosch S, Boulanger CM, Breakefield X, Breglio AM, Brennan MÁ, Brigstock DR, Brisson A, Broekman ML, Bromberg JF, Bryl-Górecka P, Buch S, Buck AH, Burger D, Busatto S, Buschmann D, Bussolati B, Buzás EI, Byrd JB, Camussi G, Carter DR, Caruso S, Chamley LW, Chang YT, Chen C, Chen S, Cheng L, Chin AR, Clayton A, Clerici SP, Cocks A, Cocucci E, Coffey RJ, Cordeiro-da-Silva A, Couch Y, Coumans FA, Coyle B, Crescitelli R, Criado MF, D'Souza-Schorey C, Das S, Datta Chaudhuri A, de Candia P, De Santana EF, De Wever O, Del Portillo HA, Demaret T, Deville S, Devitt A, Dhondt B, Di Vizio D, Dieterich LC, Dolo V, Dominguez Rubio AP, Dominici M, Dourado MR, Driedonks TA, Duarte FV, Duncan HM, Eichenberger RM, Ekström K, El Andaloussi S, Elie-Caille C, Erdbrügger U, Falcón-Pérez JM, Fatima F, Fish JE, Flores-Bellver M, Försönits A, Frelet-Barrand A, Fricke F, Fuhrmann G, Gabrielsson S, Gámez-Valero A, Gardiner C, Gärtner K, Gaudin R, Gho YS, Giebel B, Gilbert C, Gimona M, Giusti I, Goberdhan DC, Görgens A, Gorski SM, Greening DW, Gross JC, Gualerzi A, Gupta GN, Gustafson D, Handberg A, Haraszti RA, Harrison P, Hegyesi H, Hendrix A, Hill AF, Hochberg FH, Hoffmann KF, Holder B, Holthofer H, Hosseinkhani B, Hu G, Huang Y, Huber V, Hunt S, Ibrahim AG, Ikezu T, Inal JM, Isin M, Ivanova A, Jackson HK, Jacobsen S, Jay SM, Jayachandran M, Jenster G, Jiang L, Johnson SM, Jones JC, Jong A, Jovanovic-Talisman T, Jung S, Kalluri R, Kano SI, Kaur S, Kawamura Y, Keller ET, Khamari D, Khomyakova E, Khvorova A, Kierulf P, Kim KP, Kislinger T, Klingeborn M, Klinke DJ 2nd, Kornek M, Kosanović MM, Kovács ÁF, Krämer-Albers EM, Krasemann S, Krause M, Kurochkin IV, Kusuma GD, Kuypers S, Laitinen S, Langevin SM, Languino LR, Lannigan J, Lässer C, Laurent LC, Lavieu G, Lázaro-Ibáñez E, Le Lay S, Lee MS, Lee YXF, Lemos DS, Lenassi M, Leszczynska A, Li IT, Liao K, Libregts SF, Ligeti E, Lim R, Lim SK, Linē A, Linnemannstöns K, Llorente A, Lombard CA, Lorenowicz MJ, Lörincz ÁM, Lötvall J, Lovett J, Lowry MC, Loyer X, Lu Q, Lukomska B, Lunavat TR, Maas SL, Malhi H, Marcilla A, Mariani J, Mariscal J, Martens-Uzunova ES, Martin-Jaular L, Martinez MC, Martins VR, Mathieu M, Mathivanan S, Maugeri M, McGinnis LK, McVey MJ, Meckes DG Jr, Meehan KL, Mertens I, Minciacchi VR, Möller A, Møller Jørgensen M, Morales-Kastresana A, Morhayim J, Mullier F, Muraca M, Musante L, Mussack V, Muth DC, Myburgh KH, Najrana T, Nawaz M, Nazarenko I, Nejsum P, Neri C, Neri T, Nieuwland R, Nimrichter L, Nolan JP, Nolte-'t Hoen EN, Noren Hooten N, O'Driscoll L, O'Grady T, O'Loghlen A, Ochiya T, Olivier M, Ortiz A, Ortiz LA, Osteikoetxea X, Østergaard O, Ostrowski M, Park J, Pegtel DM, Peinado H, Perut F, Pfaffl MW, Phinney DG, Pieters BC, Pink RC, Pisetsky DS, Pogge von Strandmann E, Polakovicova I, Poon IK, Powell BH, Prada I, Pulliam L, Quesenberry P, Radeghieri A, Raffai RL, Raimondo S, Rak J, Ramirez MI, Raposo G, Rayyan MS, Regev-Rudzki N, Ricklefs FL, Robbins PD, Roberts DD, Rodrigues SC, Rohde E, Rome S, Rouschop KM, Rughetti A, Russell AE, Saá P, Sahoo S, Salas-Huenuleo E, Sánchez C, Saugstad JA, Saul MJ, Schiffelers RM, Schneider R, Schøyen TH, Scott A, Shahaj E, Sharma S, Shatnyeva O, Shekari F, Shelke GV, Shetty AK, Shiba K, Siljander PR, Silva AM, Skowronek A, Snyder OL 2nd, Soares RP, Sódar BW, Soekmadji C, Sotillo J, Stahl PD, Stoorvogel W, Stott SL, Strasser EF, Swift S, Tahara H, Tewari M, Timms K, Tiwari S, Tixeira R, Tkach M, Toh WS, Tomasini R, Torrecilhas AC, Tosar JP, Toxavidis V, Urbanelli L, Vader P, van Balkom BW, van der Grein SG, Van Deun J, van Herwijnen MJ, Van Keuren-Jensen K, van Niel G, van Royen ME, van Wijnen AJ, Vasconcelos MH, Vechetti IJ Jr, Veit TD, Vella LJ, Velot É, Verweij FJ, Vestad B, Viñas JL, Visnovitz T, Vukman KV, Wahlgren J, Watson DC, Wauben MH, Weaver A, Webber JP, Weber V, Wehman AM, Weiss DJ, Welsh JA, Wendt S, Wheelock AM, Wiener Z, Witte L, Wolfram J, Xagorari A, Xander P, Xu J, Yan X, Yáñez-Mó M, Yin H, Yuana Y, Zappulli V, Zarubova J, Žėkas V, Zhang JY, Zhao Z, Zheng L, Zheutlin AR, Zickler AM, Zimmermann P, Zivkovic AM, Zocco D, Zuba-Surma EK","journal":"Journal of Extracellular Vesicles","doi":"10.1080/20013078.2018.1535750","created_at":"2021-09-30T08:27:24.673Z","updated_at":"2021-09-30T08:27:24.673Z"},{"id":3208,"pubmed_id":null,"title":"Updating the MISEV minimal requirements for extracellular vesicle studies: building bridges to reproducibility","year":2017,"url":"http://dx.doi.org/10.1080/20013078.2017.1396823","authors":"Witwer, Kenneth W.; Soekmadji, Carolina; Hill, Andrew F.; Wauben, Marca H.; Buzás, Edit I.; Di Vizio, Dolores; Falcon‐Perez, Juan M.; Gardiner, Chris; Hochberg, Fred; Kurochkin, Igor V.; Lötvall, Jan; Mathivanan, Suresh; Nieuwland, Rienk; Sahoo, Susmita; Tahara, Hidetoshi; Torrecilhas, Ana Claudia; Weaver, Alissa M.; Yin, Hang; Zheng, Lei; Gho, Yong Song; Quesenberry, Peter; Théry, Clotilde; ","journal":"Journal of Extracellular Vesicles","doi":"10.1080/20013078.2017.1396823","created_at":"2022-02-01T16:10:52.801Z","updated_at":"2022-02-01T16:10:52.801Z"}],"licence_links":[],"grants":[{"id":7187,"fairsharing_record_id":1312,"organisation_id":1518,"relation":"maintains","created_at":"2021-09-30T09:28:28.970Z","updated_at":"2021-09-30T09:28:28.970Z","grant_id":null,"is_lead":true,"saved_state":{"id":1518,"name":"International Society for Extracellular Vesicles","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBHQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--70a3a791c2c96c3720062a3ac59c17317a3001e8/MISEV.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1313","type":"fairsharing_records","attributes":{"created_at":"2018-03-22T16:04:03.000Z","updated_at":"2022-12-13T09:38:42.680Z","metadata":{"doi":"10.25504/FAIRsharing.bQSMT2","name":"IVOA Photometry Data Model","status":"ready","contacts":[{"contact_name":"IVOA Data Model Working Group","contact_email":"dm@ivoa.net"}],"homepage":"http://ivoa.net/documents/PHOTDM/index.html","citations":[{"publication_id":2942}],"identifier":1313,"description":"The Photometry Data Model (PhotDM) standard describes photometry filters, photometric systems, magnitude systems, zero points and its interrelation with the other IVOA data models through a simple data model. Particular attention is given necessarily to optical photometry where specifications of magnitude systems and photometric zero points are required to convert photometric measurements into physical flux density units.","abbreviation":"PhotDM","year_creation":2013},"legacy_ids":["bsg-001167","bsg-s001167"],"name":"FAIRsharing record for: IVOA Photometry Data Model","abbreviation":"PhotDM","url":"https://fairsharing.org/10.25504/FAIRsharing.bQSMT2","doi":"10.25504/FAIRsharing.bQSMT2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Photometry Data Model (PhotDM) standard describes photometry filters, photometric systems, magnitude systems, zero points and its interrelation with the other IVOA data models through a simple data model. Particular attention is given necessarily to optical photometry where specifications of magnitude systems and photometric zero points are required to convert photometric measurements into physical flux density units.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11469}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2942,"pubmed_id":null,"title":"IVOA Photometry Data Model Version 1.0","year":2013,"url":"http://dx.doi.org/10.5479/ADS/bib/2013ivoa.spec.1005S","authors":"Salgado, Jesus; Osuna, Pedro; Rodrigo, Carlos; Allen, Mark; Louys, Mireille; McDowell, Jonathan; Baines, Deborah; Maiz Apellaniz, Jesus; Hatziminaoglou, Evanthia; Derriere, Sebastien; Lemson, Gerard","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.580Z","updated_at":"2021-09-30T08:28:02.580Z"}],"licence_links":[],"grants":[{"id":7188,"fairsharing_record_id":1313,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:29.011Z","updated_at":"2021-09-30T09:28:29.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7189,"fairsharing_record_id":1313,"organisation_id":1573,"relation":"maintains","created_at":"2021-09-30T09:28:29.049Z","updated_at":"2021-09-30T09:28:29.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1573,"name":"IVOA Data Model Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1323","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2023-10-19T08:40:53.825Z","metadata":{"doi":"10.25504/FAIRsharing.119q9t","name":"The UMLS Semantic Network","status":"ready","contacts":[{"contact_name":"Olivier Bodenreider","contact_email":"olivier@nlm.nih.gov","contact_orcid":"0000-0003-4769-4217"}],"homepage":"https://lhncbc.nlm.nih.gov/semanticnetwork/","citations":[{"doi":"10.1002/cfg.255","pubmed_id":18629109,"publication_id":1331}],"identifier":1323,"description":"The UMLS Semantic Network is one of three UMLS Knowledge Sources developed as part of the Unified Medical Language System project. The network provides a consistent categorization of all concepts represented in the UMLS Metathesaurus. The Semantic Network consists of (1) a set of broad subject categories, or Semantic Types, that provide a consistent categorization of all concepts represented in the UMLS Metathesaurus, and (2) a set of useful and important relationships, or Semantic Relations, that exist between Semantic Types. The Network provides information about the set of basic semantic types, or categories, which may be assigned to these concepts, and it defines the set of relationships that may hold between the semantic types. The Semantic Network contains 127 semantic types and 54 relationships. The Semantic Network serves as an authority for the semantic types that are assigned to concepts in the Metathesaurus. The Network defines these types, both with textual descriptions and by means of the information inherent in its hierarchies.","abbreviation":null,"support_links":[{"url":"https://www.nlm.nih.gov/research/umls/META3_current_semantic_types.html","name":"Current Semantic Types","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK9679/","name":"UMLS Semantic Network Manual","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/research/umls/META3_current_relations.html","name":"Current Relations in the UMLS Semantic Network","type":"Help documentation"},{"url":"https://wayback.archive-it.org/org-350/20180312141727/https://www.nlm.nih.gov/pubs/factsheets/umlssemn.html","name":"UMLS Semantic Network Factsheet","type":"Help documentation"}],"year_creation":1990,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/STY","name":"STY","portal":"BioPortal"}]},"legacy_ids":["bsg-000941","bsg-s000941"],"name":"FAIRsharing record for: The UMLS Semantic Network","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.119q9t","doi":"10.25504/FAIRsharing.119q9t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UMLS Semantic Network is one of three UMLS Knowledge Sources developed as part of the Unified Medical Language System project. The network provides a consistent categorization of all concepts represented in the UMLS Metathesaurus. The Semantic Network consists of (1) a set of broad subject categories, or Semantic Types, that provide a consistent categorization of all concepts represented in the UMLS Metathesaurus, and (2) a set of useful and important relationships, or Semantic Relations, that exist between Semantic Types. The Network provides information about the set of basic semantic types, or categories, which may be assigned to these concepts, and it defines the set of relationships that may hold between the semantic types. The Semantic Network contains 127 semantic types and 54 relationships. The Semantic Network serves as an authority for the semantic types that are assigned to concepts in the Metathesaurus. The Network defines these types, both with textual descriptions and by means of the information inherent in its hierarchies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17335},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17690},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12114},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12233},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16972}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Integration","Biomedical Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1331,"pubmed_id":18629109,"title":"An upper-level ontology for the biomedical domain.","year":2008,"url":"http://doi.org/10.1002/cfg.255","authors":"McCray AT","journal":"Comp Funct Genomics","doi":"10.1002/cfg.255","created_at":"2021-09-30T08:24:48.976Z","updated_at":"2021-09-30T08:24:48.976Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Switzerland (CC BY-NC-ND 2.5 CH)","licence_id":176,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/ch/","link_id":1741,"relation":"undefined"},{"licence_name":"UMLS Semantic Network Terms and Conditions","licence_id":812,"licence_url":"https://semanticnetwork.nlm.nih.gov/TermsAndConditions.html","link_id":1742,"relation":"undefined"}],"grants":[{"id":7213,"fairsharing_record_id":1323,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:29.933Z","updated_at":"2021-09-30T09:28:29.933Z","grant_id":null,"is_lead":true,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1324","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:19.962Z","metadata":{"doi":"10.25504/FAIRsharing.446bv0","name":"Ontology of Experimental Variables and Values","status":"ready","contacts":[{"contact_name":"Gully Burn","contact_email":"gully@usc.edu","contact_orcid":"0000-0003-1493-865X"}],"homepage":"https://bioportal.bioontology.org/ontologies/OOEVV","identifier":1324,"description":"The Ontology of Experimental Variables and Values (OoEVV) provides a lightweight representation of (a) the variables used to measure experimental properties and (b) the measurement scales that form the complex data types supporting that data. Many different variables measure the same thing, here we use a lightweight representation driven by a small number of classes and a large number of variables to focus only on providing a vocabulary of variables that may be extended for consolidation to standardized variables for specific things and functions to map between values from different measurements scales. We use the base ontology description to provide a very lightweight representation of the basic elements of an experimental design and we use views to instantiate it for specific domains.","abbreviation":"OoEVV","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OOEVV","name":"OOEVV","portal":"BioPortal"}]},"legacy_ids":["bsg-002782","bsg-s002782"],"name":"FAIRsharing record for: Ontology of Experimental Variables and Values","abbreviation":"OoEVV","url":"https://fairsharing.org/10.25504/FAIRsharing.446bv0","doi":"10.25504/FAIRsharing.446bv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Experimental Variables and Values (OoEVV) provides a lightweight representation of (a) the variables used to measure experimental properties and (b) the measurement scales that form the complex data types supporting that data. Many different variables measure the same thing, here we use a lightweight representation driven by a small number of classes and a large number of variables to focus only on providing a vocabulary of variables that may be extended for consolidation to standardized variables for specific things and functions to map between values from different measurements scales. We use the base ontology description to provide a very lightweight representation of the basic elements of an experimental design and we use views to instantiate it for specific domains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science","Life Science"],"domains":["Resource metadata","Experimental measurement","Protocol","Independent variable","Study design","Experimentally determined","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[{"id":580,"pubmed_id":null,"title":"Using the Ontology of Experimental Variables and Values (OoEVV) to model human neuroimaging experiments","year":2013,"url":"https://www.frontiersin.org/10.3389/conf.fninf.2013.09.00101/event_abstract","authors":"Jessica A. Turner and Gully A. Burns","journal":"Front. Neuroinform. Conference Abstract: Neuroinformatics","doi":null,"created_at":"2021-09-30T08:23:23.460Z","updated_at":"2021-09-30T08:23:23.460Z"},{"id":1781,"pubmed_id":23684873,"title":"Modeling functional Magnetic Resonance Imaging (fMRI) experimental variables in the Ontology of Experimental Variables and Values (OoEVV).","year":2013,"url":"http://doi.org/10.1016/j.neuroimage.2013.05.024","authors":"Burns GA,Turner JA","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2013.05.024","created_at":"2021-09-30T08:25:39.895Z","updated_at":"2021-09-30T08:25:39.895Z"}],"licence_links":[],"grants":[{"id":7216,"fairsharing_record_id":1324,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:30.015Z","updated_at":"2021-09-30T09:28:30.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7214,"fairsharing_record_id":1324,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:28:29.966Z","updated_at":"2021-09-30T09:28:29.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7215,"fairsharing_record_id":1324,"organisation_id":2251,"relation":"maintains","created_at":"2021-09-30T09:28:29.989Z","updated_at":"2021-09-30T09:28:29.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":2251,"name":"OoEVV Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7217,"fairsharing_record_id":1324,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:30.044Z","updated_at":"2021-09-30T09:28:30.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1325","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T14:04:36.000Z","updated_at":"2022-12-13T10:24:32.021Z","metadata":{"doi":"10.25504/FAIRsharing.y0fDAA","name":"Data Access Layer Interface","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/DALI/index.html","citations":[{"publication_id":2933}],"identifier":1325,"description":"The Data Access Layer Interface (DALI) standard defines the base web service interface common to all Data Access Layer (DAL) services. This standard defines the behaviour of common resources, the meaning and use of common parameters, success and error responses, and DAL service registration. The goal of this specification is to define the common elements that are shared across DAL services in order to foster consistency across concrete DAL service specifications and to enable standard re-usable client and service implementations and libraries to be written and widely adopted.","abbreviation":"DALI","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/DALI-1_0-Next","name":"DALI 1.0 Specification Issues","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/DALI","name":"Archived Discussions on DALI Standard Development","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-001148","bsg-s001148"],"name":"FAIRsharing record for: Data Access Layer Interface","abbreviation":"DALI","url":"https://fairsharing.org/10.25504/FAIRsharing.y0fDAA","doi":"10.25504/FAIRsharing.y0fDAA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Data Access Layer Interface (DALI) standard defines the base web service interface common to all Data Access Layer (DAL) services. This standard defines the behaviour of common resources, the meaning and use of common parameters, success and error responses, and DAL service registration. The goal of this specification is to define the common elements that are shared across DAL services in order to foster consistency across concrete DAL service specifications and to enable standard re-usable client and service implementations and libraries to be written and widely adopted.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11471}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":["Web service"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2933,"pubmed_id":null,"title":"Data Access Layer Interface Version 1.1","year":2017,"url":"http://dx.doi.org/10.5479/ADS/bib/2017ivoa.spec.0517D","authors":"Dowler, Patrick; Demleitner, Markus; Taylor, Mark; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:01.392Z","updated_at":"2021-09-30T08:28:01.392Z"}],"licence_links":[],"grants":[{"id":7219,"fairsharing_record_id":1325,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:30.125Z","updated_at":"2021-09-30T09:28:30.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7218,"fairsharing_record_id":1325,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:30.087Z","updated_at":"2021-09-30T09:28:30.087Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1326","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:48:42.866Z","metadata":{"doi":"10.25504/FAIRsharing.6641pb","name":"Ontology for Food Processing Experiment","status":"uncertain","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr"}],"homepage":"http://agroportal.lirmm.fr/ontologies/OFPE","identifier":1326,"description":"OFPE is a generic ontology specialized for food processing experiments, where raw materials are transformed into final products. It includes different classes that represent products and activities during food transformation processes, which can be classified into four main concepts: Product, Operation, Attribute, and Observation. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","abbreviation":"OFPE","year_creation":2016},"legacy_ids":["bsg-001119","bsg-s001119"],"name":"FAIRsharing record for: Ontology for Food Processing Experiment","abbreviation":"OFPE","url":"https://fairsharing.org/10.25504/FAIRsharing.6641pb","doi":"10.25504/FAIRsharing.6641pb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OFPE is a generic ontology specialized for food processing experiments, where raw materials are transformed into final products. It includes different classes that represent products and activities during food transformation processes, which can be classified into four main concepts: Product, Operation, Attribute, and Observation. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Life Science","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1755,"relation":"undefined"}],"grants":[{"id":7220,"fairsharing_record_id":1326,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:30.162Z","updated_at":"2021-09-30T09:28:30.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1327","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T11:31:54.000Z","updated_at":"2022-02-08T10:28:49.757Z","metadata":{"doi":"10.25504/FAIRsharing.880e6c","name":"W3C Provenance Notation","status":"ready","contacts":[{"contact_name":"Provenance Working Group","contact_email":"team-prov-chairs@w3.org"}],"homepage":"http://www.w3.org/TR/prov-n/","identifier":1327,"description":"PROV-N is aimed at human consumption and allows serializations of PROV instances to be created in a compact manner. PROV-N facilitates the mapping of the PROV data model to concrete syntax, and is used as the basis for a formal semantics of PROV (PROV-SEM). For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-N","support_links":[{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-sem/","name":"PROV-SEM","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001296","bsg-s001296"],"name":"FAIRsharing record for: W3C Provenance Notation","abbreviation":"PROV-N","url":"https://fairsharing.org/10.25504/FAIRsharing.880e6c","doi":"10.25504/FAIRsharing.880e6c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROV-N is aimed at human consumption and allows serializations of PROV instances to be created in a compact manner. PROV-N facilitates the mapping of the PROV data model to concrete syntax, and is used as the basis for a formal semantics of PROV (PROV-SEM). For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16968}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1824,"relation":"undefined"}],"grants":[{"id":7221,"fairsharing_record_id":1327,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:30.204Z","updated_at":"2021-09-30T09:28:30.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1328","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-20T12:01:57.557Z","metadata":{"doi":"10.25504/FAIRsharing.vbejb6","name":"Genomic Feature and Variation Ontology","status":"ready","contacts":[{"contact_name":"Joachim Baran","contact_email":"kim@codamono.com"}],"homepage":"https://github.com/BioInterchange/Ontologies","citations":[{"doi":"10.7717/peerj.933","pubmed_id":26019997,"publication_id":947}],"identifier":1328,"description":"The Genomic Feature and Variation Ontology (GFVO) is modeled to represent genomic data using the Resource Description Format (RDF) or Linked Data using JSON (JSON-LD). The GFVO specifically addresses genomic data as it is regularly shared using the GFF3 (incl. FASTA), GTF, GVF and VCF file formats. GFVO simplifies data integration and enables linking of genomic annotations across datasets through common semantics of genomic types and relations. NOTE: GFVO in BioPortal is a simplified version without ontology imports and having class/property equivalences removed.","abbreviation":"GFVO","support_links":[{"url":"robert.hoehndorf@kaust.edu.sa","name":"Robert Hoehndorf","type":"Support email"},{"url":"https://github.com/BioInterchange/Ontologies/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://www.codamono.com/biointerchange/documentation/","name":"Usage within BioInterchange","type":"Help documentation"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GFVO","name":"GFVO","portal":"BioPortal"}]},"legacy_ids":["bsg-000959","bsg-s000959"],"name":"FAIRsharing record for: Genomic Feature and Variation Ontology","abbreviation":"GFVO","url":"https://fairsharing.org/10.25504/FAIRsharing.vbejb6","doi":"10.25504/FAIRsharing.vbejb6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic Feature and Variation Ontology (GFVO) is modeled to represent genomic data using the Resource Description Format (RDF) or Linked Data using JSON (JSON-LD). The GFVO specifically addresses genomic data as it is regularly shared using the GFF3 (incl. FASTA), GTF, GVF and VCF file formats. GFVO simplifies data integration and enables linking of genomic annotations across datasets through common semantics of genomic types and relations. NOTE: GFVO in BioPortal is a simplified version without ontology imports and having class/property equivalences removed.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12526},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16922}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics"],"domains":["Genome annotation","Sequence feature","Sequence variant"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway","Saudi Arabia","United States"],"publications":[{"id":947,"pubmed_id":26019997,"title":"GFVO: the Genomic Feature and Variation Ontology.","year":2015,"url":"http://doi.org/10.7717/peerj.933","authors":"Baran J,Durgahee BS,Eilbeck K,Antezana E,Hoehndorf R,Dumontier M","journal":"PeerJ","doi":"10.7717/peerj.933","created_at":"2021-09-30T08:24:04.780Z","updated_at":"2021-09-30T08:24:04.780Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1827,"relation":"undefined"}],"grants":[{"id":7225,"fairsharing_record_id":1328,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:28:30.358Z","updated_at":"2021-09-30T09:28:30.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7222,"fairsharing_record_id":1328,"organisation_id":682,"relation":"maintains","created_at":"2021-09-30T09:28:30.246Z","updated_at":"2021-09-30T09:28:30.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":682,"name":"Department of Biomedical Informatics, School of Medicine, University of Utah","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7223,"fairsharing_record_id":1328,"organisation_id":675,"relation":"maintains","created_at":"2021-09-30T09:28:30.287Z","updated_at":"2021-09-30T09:28:30.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":675,"name":"Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7224,"fairsharing_record_id":1328,"organisation_id":583,"relation":"maintains","created_at":"2021-09-30T09:28:30.326Z","updated_at":"2021-09-30T09:28:30.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":583,"name":"Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Saudi Arabia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1329","type":"fairsharing_records","attributes":{"created_at":"2020-04-26T08:04:24.000Z","updated_at":"2022-07-20T09:26:59.177Z","metadata":{"doi":"10.25504/FAIRsharing.5c7cec","name":"CESSDA Vocabulary","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"cessda@cessda.eu"}],"homepage":"https://vocabularies.cessda.eu/#!discover","citations":[],"identifier":1329,"description":"CESSDA Vocabulary Service enables users to discover, browse, and download controlled vocabularies in a variety of languages. The service is provided by the Consortium of European Social Science Data Archives (CESSDA). The majority of the source (English) vocabularies included in the service have been created by the DDI Alliance. The Data Documentation Initiative (DDI) is an international standard for describing data produced by surveys and other observational methods in the social, behavioural, economic, and health sciences.","abbreviation":"CESSDA Vocabulary","support_links":[{"url":"https://vocabularies.cessda.eu/#!about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/CESSDA_Data","type":"Twitter"}]},"legacy_ids":["bsg-001467","bsg-s001467"],"name":"FAIRsharing record for: CESSDA Vocabulary","abbreviation":"CESSDA Vocabulary","url":"https://fairsharing.org/10.25504/FAIRsharing.5c7cec","doi":"10.25504/FAIRsharing.5c7cec","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CESSDA Vocabulary Service enables users to discover, browse, and download controlled vocabularies in a variety of languages. The service is provided by the Consortium of European Social Science Data Archives (CESSDA). The majority of the source (English) vocabularies included in the service have been created by the DDI Alliance. The Data Documentation Initiative (DDI) is an international standard for describing data produced by surveys and other observational methods in the social, behavioural, economic, and health sciences.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12555}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Social Science","Public Health","Social and Behavioural Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[{"licence_name":"CESSDA Acceptable Use Policy and Conditions of Use","licence_id":120,"licence_url":"https://www.cessda.eu/Acceptable-Use-Policy","link_id":2056,"relation":"undefined"},{"licence_name":"CESSDA Cookie and Privacy Policy","licence_id":121,"licence_url":"https://www.cessda.eu/Privacy-policy","link_id":2055,"relation":"undefined"}],"grants":[{"id":7226,"fairsharing_record_id":1329,"organisation_id":602,"relation":"maintains","created_at":"2021-09-30T09:28:30.396Z","updated_at":"2021-09-30T09:28:30.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":602,"name":"Consortium of European Social Science Data Archives (CESSDA), Bergen, Norway","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1330","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T11:21:12.091Z","metadata":{"doi":"10.25504/FAIRsharing.9228fv","name":"French Crop Usage","status":"ready","contacts":[{"contact_name":"Catherine Roussey","contact_email":"catherine.roussey@inrae.fr"}],"homepage":"http://ontology.inrae.fr/cropusage","identifier":1330,"description":"A thesaurus about crops cultivated in France. The hierarchy is based on the final destination of the crop (human food, animal breeding, food industry) and the cultivated system. The hierachy is not based on scientific agronomic taxon like (species, genus). We are interested on categorize the usage of the crop, not on the plant classification.","abbreviation":"CROPUSAGE","year_creation":2016},"legacy_ids":["bsg-001120","bsg-s001120"],"name":"FAIRsharing record for: French Crop Usage","abbreviation":"CROPUSAGE","url":"https://fairsharing.org/10.25504/FAIRsharing.9228fv","doi":"10.25504/FAIRsharing.9228fv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A thesaurus about crops cultivated in France. The hierarchy is based on the final destination of the crop (human food, animal breeding, food industry) and the cultivated system. The hierachy is not based on scientific agronomic taxon like (species, genus). We are interested on categorize the usage of the crop, not on the plant classification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agricultural Engineering","Agriculture","Life Science"],"domains":["Food"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2742,"pubmed_id":null,"title":"A methodology for the publication of agricultural alert bulletins as LOD","year":2017,"url":"https://doi.org/10.1016/j.compag.2017.10.022","authors":"Catherine Roussey, Stephan Bernard, François Pinet, Xavier Reboud, Vincent Cellier, Ivan Sivadon, Danièle Simonneau, Anne-Laure Bourigault","journal":"Computers and Electronics in Agriculture","doi":"https://doi.org/10.1016/j.compag.2017.10.022","created_at":"2021-09-30T08:27:36.781Z","updated_at":"2021-09-30T08:27:36.781Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1830,"relation":"undefined"}],"grants":[{"id":7228,"fairsharing_record_id":1330,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:30.476Z","updated_at":"2021-09-30T09:28:30.476Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1319","type":"fairsharing_records","attributes":{"created_at":"2018-04-24T11:07:38.000Z","updated_at":"2024-01-28T15:57:44.730Z","metadata":{"doi":"10.25504/FAIRsharing.3e603c","name":"Persistent Uniform Resource Locator","status":"ready","contacts":[],"homepage":"https://code.google.com/archive/p/persistenturls/","citations":[],"identifier":1319,"description":"PURLs are Web addresses or Uniform Resource Locators (URLs) that act as permanent identifiers in the face of a dynamic and changing Web infrastructure. Instead of resolving directly to Web resources (documents, data, services, people, etc.). PURLs allow third party control over both URL resolution and resource metadata provision. A URL is simply an address of a resource on the World Wide Web. A Persistent URL is an address on the World Wide Web that causes a redirection to another Web resource. If a Web resource changes location (and hence URL), a PURL pointing to it can be updated. A user of a PURL always uses the same Web address, even though the resource in question may have moved. PURLs may be used by publishers to manage their own information space or by Web users to manage theirs; a PURL service is independent of the publisher of information. Please note that the referenced homepage contains links to an archived google code site, and may not refer to the current specification location. Please get in touch with us if you have more information.","abbreviation":"PURL","support_links":[{"url":"https://groups.google.com/forum/#!forum/persistenturls","name":"PURL googlegroup","type":"Forum"},{"url":"https://code.google.com/archive/p/persistenturls/issues","name":"Google Code Issue Tracker","type":"Help documentation"}],"year_creation":1995,"regular_expression":"^(ftp|http|https):\\/\\/[^ \"]+$ "},"legacy_ids":["bsg-001183","bsg-s001183"],"name":"FAIRsharing record for: Persistent Uniform Resource Locator","abbreviation":"PURL","url":"https://fairsharing.org/10.25504/FAIRsharing.3e603c","doi":"10.25504/FAIRsharing.3e603c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PURLs are Web addresses or Uniform Resource Locators (URLs) that act as permanent identifiers in the face of a dynamic and changing Web infrastructure. Instead of resolving directly to Web resources (documents, data, services, people, etc.). PURLs allow third party control over both URL resolution and resource metadata provision. A URL is simply an address of a resource on the World Wide Web. A Persistent URL is an address on the World Wide Web that causes a redirection to another Web resource. If a Web resource changes location (and hence URL), a PURL pointing to it can be updated. A user of a PURL always uses the same Web address, even though the resource in question may have moved. PURLs may be used by publishers to manage their own information space or by Web users to manage theirs; a PURL service is independent of the publisher of information. Please note that the referenced homepage contains links to an archived google code site, and may not refer to the current specification location. Please get in touch with us if you have more information.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17387},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13172},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13214},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13242}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1245,"relation":"undefined"}],"grants":[{"id":7202,"fairsharing_record_id":1319,"organisation_id":7,"relation":"funds","created_at":"2021-09-30T09:28:29.520Z","updated_at":"2021-09-30T09:28:29.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":7,"name":"3 Round Stones","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7207,"fairsharing_record_id":1319,"organisation_id":3273,"relation":"maintains","created_at":"2021-09-30T09:28:29.715Z","updated_at":"2021-09-30T09:28:29.715Z","grant_id":null,"is_lead":false,"saved_state":{"id":3273,"name":"Zepheira","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7203,"fairsharing_record_id":1319,"organisation_id":2702,"relation":"funds","created_at":"2021-09-30T09:28:29.562Z","updated_at":"2021-09-30T09:28:29.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":2702,"name":"Talis","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7204,"fairsharing_record_id":1319,"organisation_id":2222,"relation":"funds","created_at":"2021-09-30T09:28:29.603Z","updated_at":"2021-09-30T09:28:29.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":2222,"name":"OCLC","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7205,"fairsharing_record_id":1319,"organisation_id":2,"relation":"funds","created_at":"2021-09-30T09:28:29.645Z","updated_at":"2021-09-30T09:28:29.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":2,"name":"1060 Research","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7206,"fairsharing_record_id":1319,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:28:29.683Z","updated_at":"2021-09-30T09:28:29.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1320","type":"fairsharing_records","attributes":{"created_at":"2020-09-10T13:02:32.000Z","updated_at":"2022-07-20T09:00:01.678Z","metadata":{"doi":"10.25504/FAIRsharing.83d974","name":"Keyhole Markup Language","status":"ready","contacts":[{"contact_name":"OGC General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/kml/","identifier":1320,"description":"KML is an XML language focused on geographic visualization, including annotation of maps and images. Geographic visualization includes not only the presentation of graphical data on the globe, but also the control of the user's navigation in the sense of where to go and where to look. KML is complementary to most of the key existing OGC standards including GML (Geography Markup Language), WFS (Web Feature Service) and WMS (Web Map Service).","abbreviation":"KML","year_creation":2008},"legacy_ids":["bsg-001520","bsg-s001520"],"name":"FAIRsharing record for: Keyhole Markup Language","abbreviation":"KML","url":"https://fairsharing.org/10.25504/FAIRsharing.83d974","doi":"10.25504/FAIRsharing.83d974","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KML is an XML language focused on geographic visualization, including annotation of maps and images. Geographic visualization includes not only the presentation of graphical data on the globe, but also the control of the user's navigation in the sense of where to go and where to look. KML is complementary to most of the key existing OGC standards including GML (Geography Markup Language), WFS (Web Feature Service) and WMS (Web Map Service).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science","Data Visualization"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2235,"relation":"undefined"}],"grants":[{"id":7208,"fairsharing_record_id":1320,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:29.739Z","updated_at":"2021-09-30T09:28:29.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1321","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T09:56:39.948Z","metadata":{"doi":"10.25504/FAIRsharing.js20q3","name":"Chickpea Ontology","status":"ready","contacts":[{"contact_name":"Trushar Shah","contact_email":"tm.shah@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_338:ROOT","citations":[],"identifier":1321,"description":"Development of crop-specific trait ontologies including the Chickpea Ontology began in 2008 as part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_338","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001109","bsg-s001109"],"name":"FAIRsharing record for: Chickpea Ontology","abbreviation":"CO_338","url":"https://fairsharing.org/10.25504/FAIRsharing.js20q3","doi":"10.25504/FAIRsharing.js20q3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Development of crop-specific trait ontologies including the Chickpea Ontology began in 2008 as part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture"],"domains":["Food","Phenotype"],"taxonomies":["Cicer arietinum"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1777,"relation":"undefined"}],"grants":[{"id":7210,"fairsharing_record_id":1321,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:29.803Z","updated_at":"2021-09-30T09:28:29.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7209,"fairsharing_record_id":1321,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:28:29.767Z","updated_at":"2021-09-30T09:28:29.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1322","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:01:23.158Z","metadata":{"doi":"10.25504/FAIRsharing.yc237s","name":"Multi-Scale Multi-Step Ontology","status":"deprecated","contacts":[{"contact_name":"Juliette Dibie","contact_email":"juliette.dibie_barthelemy@agroparistech.fr"}],"homepage":"http://dx.doi.org/10.15454/1.4502762931471938E12","citations":[{"doi":"10.1007/978-3-319-40985-6_13","publication_id":2731}],"identifier":1322,"description":"The Multi-scale Multi-step ontology (MS2O) is an ontology to describe transformation processes. MS2O was created for an interdisciplinary project concerning transformation processes in food science. The use case concerns the production of stabilized micro-organisms performed at INRA (French National Institute for Agricultural Research). Experimental observations are available for some inputs of the production processes, at different steps and at a certain scale.","abbreviation":"MS2O","year_creation":2015,"deprecation_date":"2020-01-30","deprecation_reason":"As confirmed on their homepage, MS2O is obsolete and has been replaced by the Process and Observation Ontology."},"legacy_ids":["bsg-001111","bsg-s001111"],"name":"FAIRsharing record for: Multi-Scale Multi-Step Ontology","abbreviation":"MS2O","url":"https://fairsharing.org/10.25504/FAIRsharing.yc237s","doi":"10.25504/FAIRsharing.yc237s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Multi-scale Multi-step ontology (MS2O) is an ontology to describe transformation processes. MS2O was created for an interdisciplinary project concerning transformation processes in food science. The use case concerns the production of stabilized micro-organisms performed at INRA (French National Institute for Agricultural Research). Experimental observations are available for some inputs of the production processes, at different steps and at a certain scale.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Materials Engineering","Agricultural Engineering","Materials Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Processing"],"countries":["France"],"publications":[{"id":2731,"pubmed_id":null,"title":"M2SO - A Multi-scale and Multi-step Ontology for Transformation Processes: Application to Micro-Organisms","year":2016,"url":"https://hal.archives-ouvertes.fr/hal-01357749","authors":"Dibie J., Dervaux S., Doriot E., Ibanescu L., Penicaud C","journal":"In: Haemmerle O., Stapleton G., Faron Zucker C. (eds) Graph-Based Representation and Reasoning. ICCS 2016. Lecture Notes in Computer Science, vol 9717. Springer","doi":"10.1007/978-3-319-40985-6_13","created_at":"2021-09-30T08:27:35.406Z","updated_at":"2021-09-30T08:27:35.406Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1776,"relation":"undefined"}],"grants":[{"id":7211,"fairsharing_record_id":1322,"organisation_id":2907,"relation":"maintains","created_at":"2021-09-30T09:28:29.845Z","updated_at":"2021-09-30T09:28:29.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":2907,"name":"UMR0782 GMPA Gnie et Microbiologie des Procds Alimentaires","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7212,"fairsharing_record_id":1322,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:29.896Z","updated_at":"2021-09-30T09:28:29.896Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1314","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2022-07-20T11:04:25.964Z","metadata":{"doi":"10.25504/FAIRsharing.fgmzk8","name":"Plant Experimental Assay Ontology","status":"ready","contacts":[{"contact_name":"PEAO Team","contact_email":"peaoteam@gmail.com"}],"homepage":"https://bitbucket.org/PlantExpAssay/ontology","identifier":1314,"description":"The Plant Experimental Assay Ontology (PEAO) was created to describe experimental procedures within plant research, regardless of the scientific questions that prompted the assays. This ontology models entities from three distinct realms (biological, physical and data), which include experimental products, their relations and the protocols describing their manipulation. PEAO is intended to be used as a log book by experimentalists, providing a formal relation between entities.","abbreviation":"PEAO","support_links":[{"url":"https://bitbucket.org/PlantExpAssay/ontology/issues?status=new\u0026status=open","name":"Bitbucket Issue Tracker","type":"Forum"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PEAO","name":"PEAO","portal":"BioPortal"}]},"legacy_ids":["bsg-000867","bsg-s000867"],"name":"FAIRsharing record for: Plant Experimental Assay Ontology","abbreviation":"PEAO","url":"https://fairsharing.org/10.25504/FAIRsharing.fgmzk8","doi":"10.25504/FAIRsharing.fgmzk8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Experimental Assay Ontology (PEAO) was created to describe experimental procedures within plant research, regardless of the scientific questions that prompted the assays. This ontology models entities from three distinct realms (biological, physical and data), which include experimental products, their relations and the protocols describing their manipulation. PEAO is intended to be used as a log book by experimentalists, providing a formal relation between entities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Experimental measurement","Assay","Protocol","Study design","Experimentally determined"],"taxonomies":["Plantae"],"user_defined_tags":["Experimental condition"],"countries":["Portugal"],"publications":[],"licence_links":[],"grants":[{"id":7193,"fairsharing_record_id":1314,"organisation_id":1301,"relation":"maintains","created_at":"2021-09-30T09:28:29.161Z","updated_at":"2021-09-30T09:28:29.161Z","grant_id":null,"is_lead":false,"saved_state":{"id":1301,"name":"iBET","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7194,"fairsharing_record_id":1314,"organisation_id":1556,"relation":"maintains","created_at":"2021-09-30T09:28:29.203Z","updated_at":"2021-09-30T09:28:29.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":1556,"name":"ISEL","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7190,"fairsharing_record_id":1314,"organisation_id":1569,"relation":"maintains","created_at":"2021-09-30T09:28:29.082Z","updated_at":"2021-09-30T09:28:29.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":1569,"name":"ITQB","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7192,"fairsharing_record_id":1314,"organisation_id":1447,"relation":"maintains","created_at":"2021-09-30T09:28:29.131Z","updated_at":"2021-09-30T09:28:29.131Z","grant_id":null,"is_lead":false,"saved_state":{"id":1447,"name":"Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Lisboa, Portugal","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9387,"fairsharing_record_id":1314,"organisation_id":1081,"relation":"funds","created_at":"2022-04-11T12:07:34.965Z","updated_at":"2022-04-11T12:07:34.980Z","grant_id":1505,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"DATASTORM (Large-Scale Data Management in Cloud Environments) project ref. EXCL/EEI-ESS/0257/2012","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1315","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:10:49.314Z","metadata":{"doi":"10.25504/FAIRsharing.nj16g","name":"International Classification of Diseases Version 10","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"classifications@who.int"}],"homepage":"http://www.who.int/classifications/icd/en/","identifier":1315,"description":"The ICD is the international standard diagnostic classification for all general epidemiological, many health management purposes and clinical use. ICD-10 is the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD), a medical classification list by the World Health Organization (WHO). It contains codes for diseases, signs and symptoms, abnormal findings, complaints, social circumstances, and external causes of injury or diseases.","abbreviation":"ICD-10","support_links":[{"url":"https://www.who.int/classifications/help/icdfaq/en/","name":"ICD 10 FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://icd.who.int/browse10/Content/statichtml/ICD10Volume2_en_2016.pdf","name":"ICD Instruction Manual (PDF)","type":"Help documentation"},{"url":"http://apps.who.int/classifications/apps/icd/icd10training/","name":"ICD-10 Interactive Self Learning Tool","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/ICD-10","name":"ICD 10 Wikipedia entry","type":"Wikipedia"}],"year_creation":1990},"legacy_ids":["bsg-000274","bsg-s000274"],"name":"FAIRsharing record for: International Classification of Diseases Version 10","abbreviation":"ICD-10","url":"https://fairsharing.org/10.25504/FAIRsharing.nj16g","doi":"10.25504/FAIRsharing.nj16g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICD is the international standard diagnostic classification for all general epidemiological, many health management purposes and clinical use. ICD-10 is the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD), a medical classification list by the World Health Organization (WHO). It contains codes for diseases, signs and symptoms, abnormal findings, complaints, social circumstances, and external causes of injury or diseases.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17334},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11029},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11279},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12019},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16980}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":["Disease","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":461,"relation":"undefined"},{"licence_name":"WHO Permission Form for Commercial Use","licence_id":862,"licence_url":"http://www.who.int/about/licensing/copyright_form/en/","link_id":462,"relation":"undefined"}],"grants":[{"id":7195,"fairsharing_record_id":1315,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:29.244Z","updated_at":"2021-09-30T09:28:29.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7196,"fairsharing_record_id":1315,"organisation_id":3252,"relation":"funds","created_at":"2021-09-30T09:28:29.280Z","updated_at":"2021-09-30T09:28:29.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1316","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-01T22:30:51.297Z","metadata":{"doi":"10.25504/FAIRsharing.ka5tfc","name":"Health Level Seven Reference Implementation Model","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"mnm@lists.hl7.org"}],"homepage":"http://www.hl7.org/implement/standards/product_brief.cfm?product_id=186","citations":[],"identifier":1316,"description":"The Health Level Seven Version 3 (V3) Normative Edition—a suite of specifications based on HL7’s Reference Information Model (RIM)—provides a single source that allows implementers of V3 specifications to work with the full set of messages, data types, and terminologies needed to build a complete implementation. The Version 3 Normative Edition represents a new approach to clinical information exchange based on a model driven methodology that produces messages and electronic documents expressed in XML syntax. ","abbreviation":"HL7","support_links":[{"url":"http://www.hl7.org/about/FAQs/index.cfm?ref=nav","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"cross_references":[]},"legacy_ids":["bsg-002659","bsg-s002659"],"name":"FAIRsharing record for: Health Level Seven Reference Implementation Model","abbreviation":"HL7","url":"https://fairsharing.org/10.25504/FAIRsharing.ka5tfc","doi":"10.25504/FAIRsharing.ka5tfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Health Level Seven Version 3 (V3) Normative Edition—a suite of specifications based on HL7’s Reference Information Model (RIM)—provides a single source that allows implementers of V3 specifications to work with the full set of messages, data types, and terminologies needed to build a complete implementation. The Version 3 Normative Edition represents a new approach to clinical information exchange based on a model driven methodology that produces messages and electronic documents expressed in XML syntax. ","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11039},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12225}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Croatia","Germany","Mexico","Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"HL7 Privacy Policy","licence_id":397,"licence_url":"http://www.hl7.org/legal/privacy.cfm?ref=nav","link_id":228,"relation":"undefined"},{"licence_name":"HL7 Terms of Use","licence_id":398,"licence_url":"http://www.hl7.org/legal/tc.cfm?ref=nav","link_id":241,"relation":"undefined"}],"grants":[{"id":7197,"fairsharing_record_id":1316,"organisation_id":1223,"relation":"maintains","created_at":"2021-09-30T09:28:29.320Z","updated_at":"2021-09-30T09:28:29.320Z","grant_id":null,"is_lead":false,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7198,"fairsharing_record_id":1316,"organisation_id":1223,"relation":"funds","created_at":"2021-09-30T09:28:29.358Z","updated_at":"2021-09-30T09:28:29.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":1223,"name":"Health Level Seven (HL7) International, Ann Arbor, MI, USA","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1317","type":"fairsharing_records","attributes":{"created_at":"2020-01-23T14:55:46.000Z","updated_at":"2022-09-02T09:15:40.416Z","metadata":{"doi":"10.25504/FAIRsharing.5794af","name":"European and Mediterranean Plant Protection Organization Codes","status":"ready","contacts":[{"contact_name":"EPPO Secretariat","contact_email":"hq@eppo.int"}],"homepage":"https://www.eppo.int/RESOURCES/eppo_databases/eppo_codes","citations":[],"identifier":1317,"description":"European and Mediterranean Plant Protection Organization (EPPO) Codes are computer codes developed for plants, pests (including pathogens) which are important in agriculture and plant protection. EPPO codes constitute a harmonized coding system which aims to facilitate the management of plant and pest names in computerized databases, as well as data exchange between IT systems.","abbreviation":"EPPO Codes","support_links":[{"url":"https://www.eppo.int/contact","name":"EPPO Contact Form","type":"Contact form"},{"url":"https://www.eppo.int/media/uploaded_images/RESOURCES/eppo_databases/A4_EPPO_Codes_2018.pdf","name":"Brief Description of EPPO Codes (PDF)","type":"Help documentation"},{"url":"https://twitter.com/EPPOnews","name":"@EPPOnews","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/EPPO_Code","name":"EPPO Code Wikipedia entry","type":"Wikipedia"},{"url":"https://www.eppo.int/media/uploaded_images/MEETINGS/Meetings_2021/webinar/02_EPPO_Codes_2021_ASR_VL.pdf","name":"General presentation on EPPO codes ","type":"Help documentation"}],"year_creation":1996},"legacy_ids":["bsg-001438","bsg-s001438"],"name":"FAIRsharing record for: European and Mediterranean Plant Protection Organization Codes","abbreviation":"EPPO Codes","url":"https://fairsharing.org/10.25504/FAIRsharing.5794af","doi":"10.25504/FAIRsharing.5794af","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: European and Mediterranean Plant Protection Organization (EPPO) Codes are computer codes developed for plants, pests (including pathogens) which are important in agriculture and plant protection. EPPO codes constitute a harmonized coding system which aims to facilitate the management of plant and pest names in computerized databases, as well as data exchange between IT systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Taxonomy","Agriculture"],"domains":["Centrally registered identifier","Pathogen"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":7200,"fairsharing_record_id":1317,"organisation_id":874,"relation":"maintains","created_at":"2021-09-30T09:28:29.441Z","updated_at":"2021-09-30T09:28:29.441Z","grant_id":null,"is_lead":true,"saved_state":{"id":874,"name":"EPPO Secretariat","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7199,"fairsharing_record_id":1317,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:28:29.404Z","updated_at":"2021-09-30T09:28:29.404Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1331","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:30.460Z","metadata":{"doi":"10.25504/FAIRsharing.dt7hn8","name":"Minimum Information About a Bioactive Entity","status":"ready","contacts":[{"contact_name":"Sandra Orchard","contact_email":"orchard@ebi.ac.uk"}],"homepage":"http://www.psidev.info/miabe","citations":[{"doi":"10.1038/nrd3503","pubmed_id":21878981,"publication_id":856}],"identifier":1331,"description":"MIABE is intended to be used as a guideline which should be consulted prior to the publication of data describing small molecules and their interactions with one or more target molecules. It was developed by representatives of pharmaceutical companies, data resource providers and academic groups.","abbreviation":"MIABE","support_links":[{"url":"webmaster@psidev.info","name":"General Contact","type":"Support email"}],"year_creation":2010},"legacy_ids":["bsg-000159","bsg-s000159"],"name":"FAIRsharing record for: Minimum Information About a Bioactive Entity","abbreviation":"MIABE","url":"https://fairsharing.org/10.25504/FAIRsharing.dt7hn8","doi":"10.25504/FAIRsharing.dt7hn8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIABE is intended to be used as a guideline which should be consulted prior to the publication of data describing small molecules and their interactions with one or more target molecules. It was developed by representatives of pharmaceutical companies, data resource providers and academic groups.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11448},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11601},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12082}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicology","Biomedical Science"],"domains":["Molecular entity","Biomarker","Bioactivity","Small molecule binding","Molecular interaction","Small molecule","Target"],"taxonomies":["All"],"user_defined_tags":["Drug Target"],"countries":["Canada","Sweden","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":856,"pubmed_id":21878981,"title":"Minimum information about a bioactive entity (MIABE).","year":2011,"url":"http://doi.org/10.1038/nrd3503","authors":"Orchard S,Al-Lazikani B,Bryant S,Clark D,Calder E,Dix I,Engkvist O,Forster M,Gaulton A,Gilson M,Glen R,Grigorov M,Hammond-Kosack K,Harland L,Hopkins A,Larminie C,Lynch N,Mann RK,Murray-Rust P,Lo Piparo E,Southan C,Steinbeck C,Wishart D,Hermjakob H,Overington J,Thornton J","journal":"Nat Rev Drug Discov","doi":"10.1038/nrd3503","created_at":"2021-09-30T08:23:54.471Z","updated_at":"2021-09-30T08:23:54.471Z"}],"licence_links":[],"grants":[{"id":7230,"fairsharing_record_id":1331,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:28:30.531Z","updated_at":"2021-09-30T09:28:30.531Z","grant_id":null,"is_lead":true,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7229,"fairsharing_record_id":1331,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:30.508Z","updated_at":"2021-09-30T09:32:41.140Z","grant_id":1732,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"086151","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7231,"fairsharing_record_id":1331,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:30.556Z","updated_at":"2021-09-30T09:31:53.052Z","grant_id":1370,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/1000/488/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8334,"fairsharing_record_id":1331,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:09.109Z","updated_at":"2021-09-30T09:32:09.170Z","grant_id":1491,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBS/E/C/00004973","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1318","type":"fairsharing_records","attributes":{"created_at":"2020-09-10T12:23:03.000Z","updated_at":"2022-07-20T09:00:01.583Z","metadata":{"doi":"10.25504/FAIRsharing.2e4a34","name":"Environmental Systems Research Institute Shapefile","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@esri.com"}],"homepage":"https://support.esri.com/en/white-paper/279","identifier":1318,"description":"An Environmental Systems Research Institute (ESRI) Shapefile stores non-topological geometry and attribute information for the spatial features in a data set. The geometry for a feature is stored as a shape comprising a set of vector coordinates, and can model single features that overlap or that are non-contiguous. Shapefiles can support point, line, and area features. Area features are represented as closed loop, double-digitized polygons.","abbreviation":"ESRI Shapefile","support_links":[{"url":"https://en.wikipedia.org/wiki/Shapefile","name":"Shapefile Wikipedia Page","type":"Wikipedia"}],"year_creation":1998},"legacy_ids":["bsg-001519","bsg-s001519"],"name":"FAIRsharing record for: Environmental Systems Research Institute Shapefile","abbreviation":"ESRI Shapefile","url":"https://fairsharing.org/10.25504/FAIRsharing.2e4a34","doi":"10.25504/FAIRsharing.2e4a34","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An Environmental Systems Research Institute (ESRI) Shapefile stores non-topological geometry and attribute information for the spatial features in a data set. The geometry for a feature is stored as a shape comprising a set of vector coordinates, and can model single features that overlap or that are non-contiguous. Shapefiles can support point, line, and area features. Area features are represented as closed loop, double-digitized polygons.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7201,"fairsharing_record_id":1318,"organisation_id":867,"relation":"maintains","created_at":"2021-09-30T09:28:29.480Z","updated_at":"2021-09-30T09:28:29.480Z","grant_id":null,"is_lead":true,"saved_state":{"id":867,"name":"Environmental Systems Research Institute, Redlands, California, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1418","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T00:29:17.000Z","updated_at":"2023-05-05T07:49:13.430Z","metadata":{"doi":"10.25504/FAIRsharing.77fbbf","name":"Gene Ontology (GO) Gene Association File Format 2.2","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium Helpdesk","contact_email":"help@geneontology.org","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://geneontology.org/docs/go-annotation-file-gaf-format-2.2/","citations":[],"identifier":1418,"description":"Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.2 (GAF 2.2). The annotation flat file format is comprised of 17 tab-delimited fields. This version is the default GAF format as of March 2021.","abbreviation":"GAF 2.2","support_links":[{"url":"https://github.com/geneontology/helpdesk/issues","name":"GO GitHub Issue Tracker","type":"Github"},{"url":"help@geneontology.org","name":"GO Helpdesk","type":"Support email"},{"url":"http://geneontology.org/docs/go-annotations/","name":"Introduction to GO annotations","type":"Help documentation"}],"year_creation":2021,"associated_tools":[{"url":"http://noctua.berkeleybop.org/","name":"NOCTUA Curation Platform"},{"url":"http://geneontology.org/go-cam","name":"GO Causal Activity Models (CAMs) viewer"}]},"legacy_ids":["bsg-001561","bsg-s001561"],"name":"FAIRsharing record for: Gene Ontology (GO) Gene Association File Format 2.2","abbreviation":"GAF 2.2","url":"https://fairsharing.org/10.25504/FAIRsharing.77fbbf","doi":"10.25504/FAIRsharing.77fbbf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology-based annotation data can be submitted to the Gene Ontology Consortium and other projects (e.g. the Planteome project) in the Gene Association Format 2.2 (GAF 2.2). The annotation flat file format is comprised of 17 tab-delimited fields. This version is the default GAF format as of March 2021.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Animal Genetics","Genetics","Human Genetics","Microbial Genetics","Molecular Microbiology","Life Science","Molecular Genetics","Plant Genetics"],"domains":["Gene name","Gene Ontology enrichment","Gene functional annotation","Function analysis","Molecular function","Cellular component","Biological process","Gene expression","Regulation of gene expression","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1544,"relation":"undefined"}],"grants":[{"id":7435,"fairsharing_record_id":1418,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:28:37.681Z","updated_at":"2021-09-30T09:28:37.681Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1419","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:25.000Z","updated_at":"2021-12-10T15:11:56.318Z","metadata":{"doi":"10.25504/FAIRsharing.97z25b","name":"Ontology for Geography Markup Language","status":"deprecated","contacts":[{"contact_name":"Kim Durante","contact_email":"kdurante@stanford.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/GML","citations":[],"identifier":1419,"description":"The Geography Markup Language (GML) is an RDF encoding for the transport and storage of geographic information, including both the geometry and properties of geographic features. Vocabulary terms are declared using OWL language to support RDF applications.","abbreviation":"GML3.0","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GML","name":"GML","portal":"BioPortal"}],"deprecation_date":"2021-12-10","deprecation_reason":"No documentation or homepage for this resource can be found. "},"legacy_ids":["bsg-000787","bsg-s000787"],"name":"FAIRsharing record for: Ontology for Geography Markup Language","abbreviation":"GML3.0","url":"https://fairsharing.org/10.25504/FAIRsharing.97z25b","doi":"10.25504/FAIRsharing.97z25b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geography Markup Language (GML) is an RDF encoding for the transport and storage of geographic information, including both the geometry and properties of geographic features. Vocabulary terms are declared using OWL language to support RDF applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1420","type":"fairsharing_records","attributes":{"created_at":"2021-01-12T13:24:21.000Z","updated_at":"2021-11-24T13:16:35.132Z","metadata":{"doi":"10.25504/FAIRsharing.a4dcb9","name":"American Geosciences Institute Glossary of Geology","status":"ready","contacts":[{"contact_email":"jr@agiweb.org"}],"homepage":"https://www.americangeosciences.org/pubs/glossary","identifier":1420,"description":"The American Geosciences Institute (AGI) Glossary of Geology is a reference vocabulary for the earth sciences. Information includes terms and definitions together with term history; the meaning of abbreviations, prefixes and acronyms common in the geoscience vocabulary; the dates many terms were first used; the preferred term of two or more synonyms; and in some cases a syllabification guide and background information. The Glossary is available in print, e-book or via online subscription. Online subscriptions are available for institutions only, and not to individuals.","abbreviation":"AGI Glossary of Geology"},"legacy_ids":["bsg-001577","bsg-s001577"],"name":"FAIRsharing record for: American Geosciences Institute Glossary of Geology","abbreviation":"AGI Glossary of Geology","url":"https://fairsharing.org/10.25504/FAIRsharing.a4dcb9","doi":"10.25504/FAIRsharing.a4dcb9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The American Geosciences Institute (AGI) Glossary of Geology is a reference vocabulary for the earth sciences. Information includes terms and definitions together with term history; the meaning of abbreviations, prefixes and acronyms common in the geoscience vocabulary; the dates many terms were first used; the preferred term of two or more synonyms; and in some cases a syllabification guide and background information. The Glossary is available in print, e-book or via online subscription. Online subscriptions are available for institutions only, and not to individuals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"AGI Glossary of Geology Subscription required for access","licence_id":17,"licence_url":"https://www.americangeosciences.org/pubs/glossary","link_id":353,"relation":"undefined"}],"grants":[{"id":7436,"fairsharing_record_id":1420,"organisation_id":76,"relation":"maintains","created_at":"2021-09-30T09:28:37.706Z","updated_at":"2021-09-30T09:28:37.706Z","grant_id":null,"is_lead":true,"saved_state":{"id":76,"name":"American Geosciences Institute (AGI), Alexandria, VA, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1421","type":"fairsharing_records","attributes":{"created_at":"2020-08-04T20:57:30.000Z","updated_at":"2021-11-24T13:13:30.307Z","metadata":{"name":"Minimum Information for Publication of PCR-based Telomere Length Measurement","status":"in_development","contacts":[{"contact_name":"Stacy Drury","contact_email":"telomerenetwork@gmail.com"}],"homepage":"https://trn.tulane.edu/wp-content/uploads/sites/445/2020/08/TRN-Reporting-Guidelines-updated.pdf","identifier":1421,"description":"The Minimum Information for Publication of PCR-based Telomere Length Measurement (MIPTL) was developed to reflect the current recommendations of the Telomere Research Network (TRN) for best practices of the measurement of telomere length in population-based studies. These recommendations are offered as initial guidelines for researchers, reviewers, and scientific research officers, and are considered minimal reporting guidelines for PCR-based measurement of telomere length.","abbreviation":"MIPTL","support_links":[{"url":"https://trn.tulane.edu/contact-us/","name":"Contact the TRN","type":"Contact form"}],"year_creation":2020},"legacy_ids":["bsg-001515","bsg-s001515"],"name":"FAIRsharing record for: Minimum Information for Publication of PCR-based Telomere Length Measurement","abbreviation":"MIPTL","url":"https://fairsharing.org/fairsharing_records/1421","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information for Publication of PCR-based Telomere Length Measurement (MIPTL) was developed to reflect the current recommendations of the Telomere Research Network (TRN) for best practices of the measurement of telomere length in population-based studies. These recommendations are offered as initial guidelines for researchers, reviewers, and scientific research officers, and are considered minimal reporting guidelines for PCR-based measurement of telomere length.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Molecular biology","Population Genetics"],"domains":["Real time polymerase chain reaction","Chromosome","Aging","Chromosomal region","Polymerase Chain Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":["telomere","telomere length"],"countries":["United States"],"publications":[{"id":3037,"pubmed_id":null,"title":"Telomere length measurement by qPCR – Summary of critical factors and recommendations for assay design","year":2019,"url":"http://doi.org/10.1016/j.psyneuen.2018.10.005","authors":"Jue Lin, Dana L. Smith, Kyle Esteves, Stacy Drury","journal":"Psychoneuroendocrinology","doi":"10.1016/j.psyneuen.2018.10.005","created_at":"2021-09-30T08:28:14.299Z","updated_at":"2021-09-30T08:28:14.299Z"}],"licence_links":[],"grants":[{"id":7437,"fairsharing_record_id":1421,"organisation_id":2729,"relation":"maintains","created_at":"2021-09-30T09:28:37.730Z","updated_at":"2021-09-30T09:28:37.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":2729,"name":"Telomere Research Network","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7438,"fairsharing_record_id":1421,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:37.766Z","updated_at":"2021-09-30T09:31:04.276Z","grant_id":1002,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U24AG066528","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1422","type":"fairsharing_records","attributes":{"created_at":"2021-01-19T07:45:28.000Z","updated_at":"2023-09-14T15:12:45.515Z","metadata":{"doi":"10.25504/FAIRsharing.USxx0K","name":"Ontology for Nutritional epidemiology","status":"ready","contacts":[{"contact_name":"Carl Lachat","contact_email":"carl.lachat@ugent.be","contact_orcid":"0000-0002-1389-8855"},{"contact_name":"Chen Yang","contact_email":"chenyangnutrition@gmail.com","contact_orcid":"0000-0001-9202-5309"}],"homepage":"https://github.com/cyang0128/Nutritional-epidemiologic-ontologies","citations":[{"doi":"E1300","pubmed_id":31181762,"publication_id":40}],"identifier":1422,"description":"The ontology for nutritional epidemiology (ONE) describes nutritional epidemiologic studies, and was created to improve on how generic ontologies for food science, nutrition science or medical science covered the specific characteristics of nutritional epidemiologic studies.","abbreviation":"ONE","support_links":[{"url":"https://github.com/cyang0128/Nutritional-Epidemiologic-ontologies","name":"Nutritional epidemiologic ontologies on GitHub","type":"Github"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONE","name":"ONE","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/one.html","name":"ONE","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001581","bsg-s001581"],"name":"FAIRsharing record for: Ontology for Nutritional epidemiology","abbreviation":"ONE","url":"https://fairsharing.org/10.25504/FAIRsharing.USxx0K","doi":"10.25504/FAIRsharing.USxx0K","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology for nutritional epidemiology (ONE) describes nutritional epidemiologic studies, and was created to improve on how generic ontologies for food science, nutrition science or medical science covered the specific characteristics of nutritional epidemiologic studies.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17330},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14552}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Nutritional Science","Metabolomics","Epidemiology"],"domains":["Diet"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":40,"pubmed_id":31181762,"title":"An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.","year":2019,"url":"https://www.mdpi.com/2072-6643/11/6/1300","authors":"Yang C,Ambayo H,Baets B,Kolsteren P,Thanintorn N,Hawwash D,Bouwman J,Bronselaer A,Pattyn F,Lachat C","journal":"Nutrients","doi":"E1300","created_at":"2021-09-30T08:22:24.772Z","updated_at":"2021-09-30T08:22:24.772Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1530,"relation":"undefined"}],"grants":[{"id":7439,"fairsharing_record_id":1422,"organisation_id":2428,"relation":"funds","created_at":"2021-09-30T09:28:37.789Z","updated_at":"2021-09-30T09:29:16.769Z","grant_id":173,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"G0D4815N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9149,"fairsharing_record_id":1422,"organisation_id":1152,"relation":"maintains","created_at":"2022-04-11T12:07:17.698Z","updated_at":"2022-04-11T12:07:17.698Z","grant_id":null,"is_lead":true,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1423","type":"fairsharing_records","attributes":{"created_at":"2020-10-30T14:52:28.000Z","updated_at":"2022-07-20T10:14:59.265Z","metadata":{"doi":"10.25504/FAIRsharing.a46a7c","name":"FAIR Genomes Semantic Model","status":"ready","contacts":[{"contact_name":"Morris Swertz","contact_email":"m.a.swertz@gmail.com","contact_orcid":"0000-0002-0979-3401"}],"homepage":"https://fairgenomes.org/","citations":[],"identifier":1423,"description":"FAIR Genomes aims to enable next-generation sequencing (NGS) data reuse by developing metadata standards for the data descriptions needed to FAIRify genomic data while also addressing ELSI issues. The FAIR Genomes schema reuses common ontologies such as NCIT, DUO, and EDAM (only introducing new terms when necessary). The metadata schema is represented in a YAML format that can be transformed into templates for data entry software (EDC) and programmatic interfaces (JSON, RDF) to ease genomic data sharing in research and healthcare.\n\nThe FAIR Genomes application ontology TTL files can be converted to other RDF serialization formats including OWL-XML, RDF-XML, RDF-JSON, JSON-LD, N-Triples, TriG, TriX, Thrift, Manchester syntax and Functional syntax using Ontology Converter.","abbreviation":"FAIR Genomes","support_links":[{"url":"https://github.com/fairgenomes","name":"FAIR Genomes on GitHub","type":"Github"},{"url":"https://github.com/fairgenomes/fairgenomes-semantic-model","name":"FAIR Genomes Semantic Model","type":"Github"},{"url":"https://github.com/fairgenomes/fairgenomes-semantic-model/blob/main/generated/markdown/fairgenomes-semantic-model.md","name":"FAIR Genomes metadata schema","type":"Github"},{"url":"https://fairgenomes-acc.gcc.rug.nl/","name":"semantic metadata scheme using MOLGENIS demo","type":"Training documentation"},{"url":"https://github.com/fairgenomes/fairgenomes-semantic-model/blob/v1.1/generated/palga-codebook","name":"ART-DECOR Codebooks","type":"Help documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://github.com/molgenis/molgenis-emx2","name":"MOLGENIS EMX2 Software"},{"url":"https://decor.nictiz.nl/art-decor/home","name":" Advanced Requirements Tooling (ART-DECOR)"},{"url":"https://github.com/sszuev/ont-converter/releases/tag/v1.0","name":"Ontology Converter"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FG","name":"FAIR Genomes","portal":"BioPortal"}]},"legacy_ids":["bsg-001533","bsg-s001533"],"name":"FAIRsharing record for: FAIR Genomes Semantic Model","abbreviation":"FAIR Genomes","url":"https://fairsharing.org/10.25504/FAIRsharing.a46a7c","doi":"10.25504/FAIRsharing.a46a7c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FAIR Genomes aims to enable next-generation sequencing (NGS) data reuse by developing metadata standards for the data descriptions needed to FAIRify genomic data while also addressing ELSI issues. The FAIR Genomes schema reuses common ontologies such as NCIT, DUO, and EDAM (only introducing new terms when necessary). The metadata schema is represented in a YAML format that can be transformed into templates for data entry software (EDC) and programmatic interfaces (JSON, RDF) to ease genomic data sharing in research and healthcare.\n\nThe FAIR Genomes application ontology TTL files can be converted to other RDF serialization formats including OWL-XML, RDF-XML, RDF-JSON, JSON-LD, N-Triples, TriG, TriX, Thrift, Manchester syntax and Functional syntax using Ontology Converter.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Medicine","Genomics","Health Science","Biomedical Science","Pathology"],"domains":["FAIR"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":3327,"pubmed_id":null,"title":"FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research","year":2022,"url":"http://dx.doi.org/10.1038/s41597-022-01265-x","authors":"van der Velde, K. Joeri; Singh, Gurnoor; Kaliyaperumal, Rajaram; Liao, XiaoFeng; de Ridder, Sander; Rebers, Susanne; Kerstens, Hindrik H. D.; de Andrade, Fernanda; van Reeuwijk, Jeroen; De Gruyter, Fini E.; Hiltemann, Saskia; Ligtvoet, Maarten; Weiss, Marjan M.; van Deutekom, Hanneke W. M.; Jansen, Anne M. L.; Stubbs, Andrew P.; Vissers, Lisenka E. L. M.; Laros, Jeroen F. J.; van Enckevort, Esther; Stemkens, Daphne; ‘t Hoen, Peter A. C.; Beliën, Jeroen A. M.; van Gijn, Mariëlle E.; Swertz, Morris A.; ","journal":"Sci Data","doi":"10.1038/s41597-022-01265-x","created_at":"2022-04-19T14:18:32.457Z","updated_at":"2022-04-19T14:18:32.457Z"},{"id":3328,"pubmed_id":null,"title":"fairgenomes/fairgenomes-semantic-model: Version 1.2","year":2022,"url":"https://doi.org/10.5281/zenodo.6303508","authors":"K. Joeri van der Velde; Rajaram; Fleur Kelpin; Morris Swertz","journal":"Zenodo","doi":"10.5281/zenodo.6303508","created_at":"2022-04-19T14:38:53.037Z","updated_at":"2022-04-19T14:38:53.037Z"}],"licence_links":[],"grants":[{"id":9453,"fairsharing_record_id":1423,"organisation_id":3003,"relation":"maintains","created_at":"2022-04-20T10:56:14.720Z","updated_at":"2022-04-20T10:56:14.720Z","grant_id":null,"is_lead":true,"saved_state":{"id":3003,"name":"University Medical Center Groningen","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1410","type":"fairsharing_records","attributes":{"created_at":"2020-06-18T13:32:36.000Z","updated_at":"2024-03-25T20:52:09.580Z","metadata":{"doi":"10.25504/FAIRsharing.3be57c","name":"UK Electronic Theses and Dissertations Metadata Schema","status":"ready","contacts":[{"contact_name":"EThOS Helpdesk","contact_email":"ethos-help@bl.uk"}],"homepage":"https://github.com/uol-library/uketd_dc","citations":[],"identifier":1410,"description":"The Electronic Theses Online Service UKETD_DC Schema (EThOS UKETD_DC) is built on the application profiile of the same name that describes the core set of metadata for UK theses. It was developed to enable all theses to be described in a clear and consistent way, allowing users to find the theses they seek and institutions to share the data between repositories where required. Although this resource is available at the stated homepage, the homepage seems to be a third-party site hosting it because its original homepage is no longer available. Please get in touch if you have any information about this resource.","abbreviation":"EThOS UKETD_DC","support_links":[{"url":"https://twitter.com/EThOSBL","name":"EThOSBL","type":"Twitter"}],"year_creation":2017},"legacy_ids":["bsg-001489","bsg-s001489"],"name":"FAIRsharing record for: UK Electronic Theses and Dissertations Metadata Schema","abbreviation":"EThOS UKETD_DC","url":"https://fairsharing.org/10.25504/FAIRsharing.3be57c","doi":"10.25504/FAIRsharing.3be57c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Electronic Theses Online Service UKETD_DC Schema (EThOS UKETD_DC) is built on the application profiile of the same name that describes the core set of metadata for UK theses. It was developed to enable all theses to be described in a clear and consistent way, allowing users to find the theses they seek and institutions to share the data between repositories where required. Although this resource is available at the stated homepage, the homepage seems to be a third-party site hosting it because its original homepage is no longer available. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management"],"domains":["Citation","Bibliography","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":8922,"fairsharing_record_id":1410,"organisation_id":3412,"relation":"maintains","created_at":"2022-03-04T16:28:52.066Z","updated_at":"2024-03-25T20:45:54.389Z","grant_id":null,"is_lead":true,"saved_state":{"id":3412,"name":"The British Library","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1411","type":"fairsharing_records","attributes":{"created_at":"2021-06-24T09:19:33.000Z","updated_at":"2021-12-02T11:46:32.964Z","metadata":{"name":"Simple Standard for Sharing Ontology Mappings","status":"in_development","contacts":[{"contact_name":"Nicolas Matentzoglu","contact_email":"nicolas.matentzoglu@gmail.com","contact_orcid":"0000-0002-7356-1779"},{"contact_name":"Chris Mungall","contact_email":"cjmungall@lbl.gov","contact_orcid":"0000-0002-6601-2165"},{"contact_name":"Nomi Harris","contact_email":"nlharris@lbl.gov","contact_orcid":"0000-0001-6315-3707"}],"homepage":"http://w3id.org/sssom/SSSOM.md","citations":[],"identifier":1411,"description":"Term mappings are of fundamental importance to interoperability, yet often lack metadata to be correctly interpreted and applied in contexts such as data integration or transformation. For example, are two terms equivalent or merely associated? Are they narrow or broad matches? etc. Such relationships between the mapped terms often remain unclear, which makes them very hard to use in scenarios that require a high degree of precision (such as diagnostics or risk prediction). Furthermore, the lack of metadata on the methods and rules involved in producing the mappings and confidence estimations regarding their correctness makes it hard to combine and reconcile mappings, especially curated and automated ones. Working as part of a collaborative group, we have developed a Simple Standard for Sharing Ontology Mappings (SSSOM) which addresses these problems by introducing a simple vocabulary for mapping metadata and defining an easy to use table-based format that can be integrated into regular data science pipelines without the need to parse or query ontologies defining a set of exports formats such as RDF/XML and JSON-LD and SQL tables. SSSOM is defined using a LinkML schema (https://linkml.github.io), and defines metadata for many key features of term mappings and mapping sets, such as mapping confidence, versioning, mapping tools and match types (lexical, logical, human-curated). The working draft of the SSSOM specification can be found at http://w3id.org/sssom/SSSOM.md. An associated toolkit is being developed at https://github.com/mapping-commons/sssom-py.","abbreviation":"SSSOM","year_creation":2020,"associated_tools":[{"url":"https://github.com/mapping-commons/sssom-py","name":"sssom-py alpha"}]},"legacy_ids":["bsg-001618","bsg-s001618"],"name":"FAIRsharing record for: Simple Standard for Sharing Ontology Mappings","abbreviation":"SSSOM","url":"https://fairsharing.org/fairsharing_records/1411","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Term mappings are of fundamental importance to interoperability, yet often lack metadata to be correctly interpreted and applied in contexts such as data integration or transformation. For example, are two terms equivalent or merely associated? Are they narrow or broad matches? etc. Such relationships between the mapped terms often remain unclear, which makes them very hard to use in scenarios that require a high degree of precision (such as diagnostics or risk prediction). Furthermore, the lack of metadata on the methods and rules involved in producing the mappings and confidence estimations regarding their correctness makes it hard to combine and reconcile mappings, especially curated and automated ones. Working as part of a collaborative group, we have developed a Simple Standard for Sharing Ontology Mappings (SSSOM) which addresses these problems by introducing a simple vocabulary for mapping metadata and defining an easy to use table-based format that can be integrated into regular data science pipelines without the need to parse or query ontologies defining a set of exports formats such as RDF/XML and JSON-LD and SQL tables. SSSOM is defined using a LinkML schema (https://linkml.github.io), and defines metadata for many key features of term mappings and mapping sets, such as mapping confidence, versioning, mapping tools and match types (lexical, logical, human-curated). The working draft of the SSSOM specification can be found at http://w3id.org/sssom/SSSOM.md. An associated toolkit is being developed at https://github.com/mapping-commons/sssom-py.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology"],"domains":["Data identity and mapping"],"taxonomies":["Not applicable"],"user_defined_tags":["ontology mapping"],"countries":["Greece","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7402,"fairsharing_record_id":1411,"organisation_id":2542,"relation":"maintains","created_at":"2021-09-30T09:28:36.568Z","updated_at":"2021-09-30T09:28:36.568Z","grant_id":null,"is_lead":false,"saved_state":{"id":2542,"name":"Semanticly Ltd","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7404,"fairsharing_record_id":1411,"organisation_id":529,"relation":"undefined","created_at":"2021-09-30T09:28:36.650Z","updated_at":"2021-09-30T09:28:36.650Z","grant_id":null,"is_lead":false,"saved_state":{"id":529,"name":"City, University of London","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":7403,"fairsharing_record_id":1411,"organisation_id":2271,"relation":"funds","created_at":"2021-09-30T09:28:36.606Z","updated_at":"2021-09-30T09:29:19.036Z","grant_id":192,"is_lead":false,"saved_state":{"id":2271,"name":"Oregon State University, Corvallis, OR, United States","grant":"1RM1HG010860-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7401,"fairsharing_record_id":1411,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:36.526Z","updated_at":"2021-09-30T09:28:36.526Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7405,"fairsharing_record_id":1411,"organisation_id":2625,"relation":"undefined","created_at":"2021-09-30T09:28:36.670Z","updated_at":"2021-09-30T09:28:36.670Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":7406,"fairsharing_record_id":1411,"organisation_id":2804,"relation":"maintains","created_at":"2021-09-30T09:28:36.701Z","updated_at":"2021-09-30T09:28:36.701Z","grant_id":null,"is_lead":true,"saved_state":{"id":2804,"name":"The Monarch Initiative","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7407,"fairsharing_record_id":1411,"organisation_id":202,"relation":"maintains","created_at":"2021-09-30T09:28:36.739Z","updated_at":"2021-09-30T09:28:36.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":202,"name":"Berkeley BOP (BBOP), Lawrence Berkeley National Labs (LBNL), Berkeley, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1412","type":"fairsharing_records","attributes":{"created_at":"2020-07-21T07:46:22.000Z","updated_at":"2021-11-24T13:16:35.068Z","metadata":{"doi":"10.25504/FAIRsharing.68b03f","name":"Standard for the Exchange of Earthquake Data","status":"ready","contacts":[{"contact_name":"Tim Ahern","contact_email":"tim@iris.washington.edu"}],"homepage":"http://www.fdsn.org/pdf/SEEDManual_V2.4.pdf","identifier":1412,"description":"The Standard for the Exchange of Earthquake Data (SEED) is a data format intended primarily for the archival and exchange of seismological time series data and related metadata. The format is maintained by the International Federation of Digital Seismograph Networks (FDSN). Originally designed in the late 1980s, the format has been enhanced and refined a number of times and remains in widespread use.","abbreviation":"SEED","support_links":[{"url":"https://ds.iris.edu/ds/nodes/dmc/data/formats/seed/","name":"Incorporated Research Institutions for Seismology (IRIS) Documentation","type":"Help documentation"}],"year_creation":1980},"legacy_ids":["bsg-001513","bsg-s001513"],"name":"FAIRsharing record for: Standard for the Exchange of Earthquake Data","abbreviation":"SEED","url":"https://fairsharing.org/10.25504/FAIRsharing.68b03f","doi":"10.25504/FAIRsharing.68b03f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Standard for the Exchange of Earthquake Data (SEED) is a data format intended primarily for the archival and exchange of seismological time series data and related metadata. The format is maintained by the International Federation of Digital Seismograph Networks (FDSN). Originally designed in the late 1980s, the format has been enhanced and refined a number of times and remains in widespread use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Earthquake","Seismology"],"countries":["Netherlands","United States"],"publications":[],"licence_links":[],"grants":[{"id":7408,"fairsharing_record_id":1412,"organisation_id":1488,"relation":"maintains","created_at":"2021-09-30T09:28:36.772Z","updated_at":"2021-09-30T09:28:36.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":1488,"name":"International Federation of Digital Seismograph Networks (FDSN)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1413","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:57:15.000Z","updated_at":"2021-11-24T13:19:50.236Z","metadata":{"doi":"10.25504/FAIRsharing.TS3gpY","name":"CodeMeta","status":"ready","homepage":"https://codemeta.github.io/","identifier":1413,"description":"CodeMeta contributors are creating a minimal metadata schema for science software and code, in JSON and XML. The goal of CodeMeta is to create a concept vocabulary that can be used to standardize the exchange of software metadata across repositories and organizations.","abbreviation":"CodeMeta","year_creation":2016},"legacy_ids":["bsg-001494","bsg-s001494"],"name":"FAIRsharing record for: CodeMeta","abbreviation":"CodeMeta","url":"https://fairsharing.org/10.25504/FAIRsharing.TS3gpY","doi":"10.25504/FAIRsharing.TS3gpY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CodeMeta contributors are creating a minimal metadata schema for science software and code, in JSON and XML. The goal of CodeMeta is to create a concept vocabulary that can be used to standardize the exchange of software metadata across repositories and organizations.","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13321}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Software Engineering"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[{"id":2990,"pubmed_id":null,"title":"CodeMeta: an exchange schema for software metadata. Version 2.0","year":2017,"url":"http://doi.org/10.5063/schema/codemeta-2.0","authors":"Matthew B. Jones, Carl Boettiger, Abby Cabunoc Mayes, Arfon Smith, Peter Slaughter, Kyle Niemeyer, Yolanda Gil, Martin Fenner, Krzysztof Nowak, Mark Hahnel, Luke Coy, Alice Allen, Mercè Crosas, et. al","journal":"KNB Data Repository","doi":"10.5063/schema/codemeta-2.0","created_at":"2021-09-30T08:28:08.624Z","updated_at":"2021-09-30T08:28:08.624Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1376,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1406","type":"fairsharing_records","attributes":{"created_at":"2020-06-25T15:21:04.000Z","updated_at":"2022-07-20T12:51:04.504Z","metadata":{"doi":"10.25504/FAIRsharing.oaxyMK","name":"Cochrane Patient/Population/Problem Intervention Comparison Outcome Ontology","status":"ready","contacts":[{"contact_name":"Chris Mavergames","contact_email":"cmavergames@cochrane.org"}],"homepage":"https://data.cochrane.org/ontologies/pico/index-en.html","identifier":1406,"description":"The PICO ontology provides a model for describing evidence in a consistent way focusing on complex populations, detailed interventions and their comparisons as well as the outcomes considered. The PICO ontology was originally designed to model the questions asked and answered in Cochrane's systematic reviews. The PICO model can be used to describe healthcare evidence as well as used in other evidence-based domains. It aims to provide a model for describing evidence in a consistent way.","abbreviation":"PICO","support_links":[{"url":"https://data.cochrane.org/ontologies/","name":"About the Cochrane Ontologies","type":"Help documentation"},{"url":"https://linkeddata.cochrane.org/pico-ontology","name":"About PICO","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001501","bsg-s001501"],"name":"FAIRsharing record for: Cochrane Patient/Population/Problem Intervention Comparison Outcome Ontology","abbreviation":"PICO","url":"https://fairsharing.org/10.25504/FAIRsharing.oaxyMK","doi":"10.25504/FAIRsharing.oaxyMK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PICO ontology provides a model for describing evidence in a consistent way focusing on complex populations, detailed interventions and their comparisons as well as the outcomes considered. The PICO ontology was originally designed to model the questions asked and answered in Cochrane's systematic reviews. The PICO model can be used to describe healthcare evidence as well as used in other evidence-based domains. It aims to provide a model for describing evidence in a consistent way.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17348}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Demographics","Clinical Studies","Health Science","Medical Informatics"],"domains":["Evidence"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1975,"relation":"undefined"}],"grants":[{"id":7392,"fairsharing_record_id":1406,"organisation_id":544,"relation":"maintains","created_at":"2021-09-30T09:28:36.076Z","updated_at":"2021-09-30T09:28:36.076Z","grant_id":null,"is_lead":true,"saved_state":{"id":544,"name":"Cochrane, London, United Kingdom","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1407","type":"fairsharing_records","attributes":{"created_at":"2020-07-06T13:10:43.000Z","updated_at":"2022-07-20T12:24:59.435Z","metadata":{"doi":"10.25504/FAIRsharing.rkRb4s","name":"Citation Style Language XML Schema","status":"ready","homepage":"https://docs.citationstyles.org/en/stable/specification.html","identifier":1407,"description":"The Citation Style Language (CSL) is an XML-based format to describe the formatting of citations, notes and bibliographies, offering: an open format, compact styles, support for style requirements, automatic style localization, infrastructure for style distribution and updating, and many freely available styles.","abbreviation":"CSL Schema","support_links":[{"url":"https://citationstyles.org/contact/","name":"Contact Information","type":"Contact form"},{"url":"https://docs.citationstyles.org/en/stable/primer.html","name":"CSL Schema Primer","type":"Help documentation"},{"url":"https://github.com/citation-style-language/schema","name":"GitHub Project","type":"Github"},{"url":"https://citationstyles.org/developers/","name":"CSL Schema (for Developers)","type":"Help documentation"},{"url":"https://citationstyles.org/about/","name":"About","type":"Help documentation"},{"url":"https://twitter.com/csl_styles","name":"@csl_styles","type":"Twitter"}],"year_creation":2009},"legacy_ids":["bsg-001506","bsg-s001506"],"name":"FAIRsharing record for: Citation Style Language XML Schema","abbreviation":"CSL Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.rkRb4s","doi":"10.25504/FAIRsharing.rkRb4s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citation Style Language (CSL) is an XML-based format to describe the formatting of citations, notes and bibliographies, offering: an open format, compact styles, support for style requirements, automatic style localization, infrastructure for style distribution and updating, and many freely available styles.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Informatics"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1994,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1993,"relation":"undefined"}],"grants":[{"id":7393,"fairsharing_record_id":1407,"organisation_id":2616,"relation":"funds","created_at":"2021-09-30T09:28:36.118Z","updated_at":"2021-09-30T09:28:36.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2616,"name":"Springer Nature","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7394,"fairsharing_record_id":1407,"organisation_id":1817,"relation":"funds","created_at":"2021-09-30T09:28:36.159Z","updated_at":"2021-09-30T09:28:36.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1817,"name":"Mendeley, London, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7395,"fairsharing_record_id":1407,"organisation_id":524,"relation":"maintains","created_at":"2021-09-30T09:28:36.197Z","updated_at":"2021-09-30T09:28:36.197Z","grant_id":null,"is_lead":true,"saved_state":{"id":524,"name":"Citation Style Language Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7396,"fairsharing_record_id":1407,"organisation_id":850,"relation":"funds","created_at":"2021-09-30T09:28:36.230Z","updated_at":"2021-09-30T09:28:36.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7397,"fairsharing_record_id":1407,"organisation_id":2413,"relation":"funds","created_at":"2021-09-30T09:28:36.318Z","updated_at":"2021-09-30T09:28:36.318Z","grant_id":null,"is_lead":false,"saved_state":{"id":2413,"name":"RefWorks, ProQuest LLC.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1408","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:51:50.000Z","updated_at":"2021-11-24T13:16:34.998Z","metadata":{"doi":"10.25504/FAIRsharing.9fN9gy","name":"ASCII File Format Guidelines for Earth Science Data","status":"ready","homepage":"https://earthdata.nasa.gov/esdis/eso/standards-and-references/ascii-file-format-guidelines-for-earth-science-data","identifier":1408,"description":"The ASCII File Format Guidelines for Earth Science Data recommend practices for formatting and describing ASCII encoded data files, such that the files will be self-describing and adhere to common conventions. These guidelines address a number of common-sense practices that can make data files encoded in ASCII more widely useful.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001493","bsg-s001493"],"name":"FAIRsharing record for: ASCII File Format Guidelines for Earth Science Data","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9fN9gy","doi":"10.25504/FAIRsharing.9fN9gy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ASCII File Format Guidelines for Earth Science Data recommend practices for formatting and describing ASCII encoded data files, such that the files will be self-describing and adhere to common conventions. These guidelines address a number of common-sense practices that can make data files encoded in ASCII more widely useful.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1346,"relation":"undefined"}],"grants":[{"id":7398,"fairsharing_record_id":1408,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:36.360Z","updated_at":"2021-09-30T09:28:36.360Z","grant_id":null,"is_lead":true,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1409","type":"fairsharing_records","attributes":{"created_at":"2020-07-17T22:20:35.000Z","updated_at":"2022-07-20T12:26:18.218Z","metadata":{"doi":"10.25504/FAIRsharing.tXtp2S","name":"Extended Knowledge Organization System","status":"ready","contacts":[{"contact_name":"DDI RDF Google Group","contact_email":"ddi-rdf-vocabulary@googlegroups.com"}],"homepage":"https://ddialliance.org/Specification/RDF/XKOS","identifier":1409,"description":"Extended Knowledge Organization System (XKOS) extends the Simple Knowledge Organization System (SKOS) for statistical classifications. It does so in two main directions. First, it defines a number of terms that enable the representation of statistical classifications with their structure and textual properties, as well as the relations between classifications. Second, it refines SKOS semantic properties to allow the use of more specific relations between concepts. Those specific relations can be used for the representation of classifications or for any other case where SKOS is employed. XKOS adds the extensions that are desirable to meet the requirements of the statistical community.","abbreviation":"XKOS","support_links":[{"url":"https://ddialliance.org/about/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://github.com/linked-statistics/xkos/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://ddialliance.org/about/about-the-alliance","name":"About","type":"Help documentation"},{"url":"https://github.com/linked-statistics/xkos","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"}],"year_creation":2019},"legacy_ids":["bsg-001502","bsg-s001502"],"name":"FAIRsharing record for: Extended Knowledge Organization System","abbreviation":"XKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.tXtp2S","doi":"10.25504/FAIRsharing.tXtp2S","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Extended Knowledge Organization System (XKOS) extends the Simple Knowledge Organization System (SKOS) for statistical classifications. It does so in two main directions. First, it defines a number of terms that enable the representation of statistical classifications with their structure and textual properties, as well as the relations between classifications. Second, it refines SKOS semantic properties to allow the use of more specific relations between concepts. Those specific relations can be used for the representation of classifications or for any other case where SKOS is employed. XKOS adds the extensions that are desirable to meet the requirements of the statistical community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Subject Agnostic"],"domains":["Resource collection","Data model","Classification","Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3012,"pubmed_id":null,"title":"eXtended Knowledge Organization System (XKOS)","year":2013,"url":"http://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.40/2013/WP10.pdf","authors":"Dan Gillman, Franck Cotton, and Yves Jaques","journal":"European Commission Statistical Office of the European Union (EUROSTAT), Organisation for Economic Cooperation and Development (OECD) Statistics Directorate, Work Session on Statistical Metadata","doi":null,"created_at":"2021-09-30T08:28:11.333Z","updated_at":"2021-09-30T08:28:11.333Z"},{"id":3013,"pubmed_id":null,"title":"XKOS: An SKOS Extension for Statistical Classifications","year":2013,"url":"https://ddialliance.org/sites/default/files/CPS_XKOS_thomas-1.pdf","authors":"Frank Cotton, Richard Cyganiak, R.T.A.M. Grim, Daniel W. Gillman, Yves Jaques, and Wendy Thomas","journal":"Proceedings of the 59th World Statistics Congress of the International Statistical Institute","doi":null,"created_at":"2021-09-30T08:28:11.450Z","updated_at":"2021-09-30T08:28:11.450Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2051,"relation":"undefined"}],"grants":[{"id":7399,"fairsharing_record_id":1409,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:28:36.401Z","updated_at":"2021-09-30T09:28:36.401Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1417","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:28.359Z","metadata":{"doi":"10.25504/FAIRsharing.6xq0ee","name":"Gene Ontology","status":"ready","contacts":[{"contact_name":"Suzi Aleksander","contact_email":"suzia@stanford.edu","contact_orcid":"0000-0001-6787-2901"}],"homepage":"http://www.geneontology.org","citations":[{"doi":"10.1038/75556","pubmed_id":10802651,"publication_id":2552},{"doi":"10.1093/nar/gkaa1113","pubmed_id":null,"publication_id":3351}],"identifier":1417,"description":"The Gene Ontology (GO) is a structured vocabulary for use by the research community for the annotation of genes, gene products and sequences. The GO defines concepts/classes used to describe gene function and relationships between these concepts.","abbreviation":"GO","support_links":[{"url":"help@geneontology.org","name":"GO Helpdesk email","type":"Support email"},{"url":"http://geneontology.org/docs/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://help.geneontology.org","name":"Helpdesk","type":"Help documentation"},{"url":"https://mailman.stanford.edu/mailman/listinfo/go-friends","name":"GO friends mailing list","type":"Mailing list"},{"url":"https://mailman.stanford.edu/mailman/listinfo/go-discuss","name":"GO discussion mailing list","type":"Mailing list"},{"url":"http://geneontology.org/","name":"Gene Ontology Resource","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/go-quick-tour","name":"Go quick tour","type":"TeSS links to training materials"},{"url":"https://twitter.com/news4go","type":"Twitter"}],"year_creation":1998,"associated_tools":[{"url":"http://amigo.geneontology.org","name":"AmiGO 2.5.x"},{"url":"http://wiki.geneontology.org/index.php/Noctua","name":"Noctua"},{"url":"http://geneontology.org/go-cam","name":"GO-CAM"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GO","name":"GO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/go.html","name":"go","portal":"OBO Foundry"},{"url":"https://www.re3data.org/repository/r3d100014165","name":"re3data:r3d100014165","portal":"re3data"}]},"legacy_ids":["bsg-000089","bsg-s000089"],"name":"FAIRsharing record for: Gene Ontology","abbreviation":"GO","url":"https://fairsharing.org/10.25504/FAIRsharing.6xq0ee","doi":"10.25504/FAIRsharing.6xq0ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene Ontology (GO) is a structured vocabulary for use by the research community for the annotation of genes, gene products and sequences. The GO defines concepts/classes used to describe gene function and relationships between these concepts.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18244},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10874},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11046},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11155},{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11243},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11979},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12211},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12426},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16201},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16744}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Gene Ontology enrichment","Annotation","Sequence annotation","Gene functional annotation","Molecular function","Cellular component","Biological process","Data model","Protein","Transcript","Gene","Knowledge representation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":41,"pubmed_id":30395331,"title":"The Gene Ontology Resource: 20 years and still GOing strong.","year":2018,"url":"http://doi.org/10.1093/nar/gky1055","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1055","created_at":"2021-09-30T08:22:24.870Z","updated_at":"2021-09-30T11:28:41.758Z"},{"id":1034,"pubmed_id":22102568,"title":"The Gene Ontology: enhancements for 2011.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1028","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1028","created_at":"2021-09-30T08:24:14.488Z","updated_at":"2021-09-30T11:28:57.193Z"},{"id":1085,"pubmed_id":19920128,"title":"The Gene Ontology in 2010: extensions and refinements.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1018","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1018","created_at":"2021-09-30T08:24:20.203Z","updated_at":"2021-09-30T11:28:58.186Z"},{"id":2013,"pubmed_id":25428369,"title":"Gene Ontology Consortium: going forward.","year":2014,"url":"http://doi.org/10.1093/nar/gku1179","authors":"The Gene Ontology Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1179","created_at":"2021-09-30T08:26:06.796Z","updated_at":"2021-09-30T11:29:10.010Z"},{"id":2167,"pubmed_id":23161678,"title":"Gene Ontology annotations and resources.","year":2012,"url":"http://doi.org/10.1093/nar/gks1050","authors":"Blake JA,Dolan M,Drabkin H,Hill DP,Li N,Sitnikov D,Bridges S,Burgess S,Buza T,McCarthy F,Peddinti D,Pillai L,Carbon S,Dietze H,Ireland A,Lewis SE,Mungall CJ,Gaudet P,Chrisholm RL,Fey P,Kibbe WA,Basu S,Siegele DA,McIntosh BK,Renfro DP,Zweifel AE,Hu JC,Brown NH,Tweedie S,Alam-Faruque Y,Apweiler R,Auchinchloss A,Axelsen K,Bely B,Blatter M-,Bonilla C,Bouguerleret L,Boutet E,Breuza L,Bridge A,Chan WM,Chavali G,Coudert E,Dimmer E,Estreicher A,Famiglietti L,Feuermann M,Gos A,Gruaz-Gumowski N,Hieta R,Hinz C,Hulo C,Huntley R,James J,Jungo F,Keller G,Laiho K,Legge D,Lemercier P,Lieberherr D,Magrane M,Martin MJ,Masson P,Mutowo-Muellenet P,O'Donovan C,Pedruzzi I,Pichler K,Poggioli D,Porras Millan P,Poux S,Rivoire C,Roechert B,Sawford T,Schneider M,Stutz A,Sundaram S,Tognolli M,Xenarios I,Foulgar R,Lomax J,Roncaglia P,Khodiyar VK,Lovering RC,Talmud PJ,Chibucos M,Giglio MG,Chang H-,Hunter S,McAnulla C,Mitchell A,Sangrador A,Stephan R,Harris MA,Oliver SG,Rutherford K,Wood V,Bahler J,Lock A,Kersey PJ,McDowall DM,Staines DM,Dwinell M,Shimoyama M,Laulederkind S,Hayman T,Wang S-,Petri V,Lowry T,D'Eustachio P,Matthews L,Balakrishnan R,Binkley G,Cherry JM,Costanzo MC,Dwight SS,Engel SR,Fisk DG,Hitz BC,Hong EL,Karra K,Miyasato SR,Nash RS,Park J,Skrzypek MS,Weng S,Wong ED,Berardini TZ,Huala E,Mi H,Thomas PD,Chan J,Kishore R,Sternberg P,Van Auken K,Howe D,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1050","created_at":"2021-09-30T08:26:24.239Z","updated_at":"2021-09-30T11:29:30.513Z"},{"id":2552,"pubmed_id":10802651,"title":"Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.","year":2000,"url":"http://doi.org/10.1038/75556","authors":"Ashburner M,Ball CA,Blake JA,Botstein D,Butler H,Cherry JM,Davis AP,Dolinski K,Dwight SS,Eppig JT,Harris MA,Hill DP,Issel-Tarver L,Kasarskis A,Lewis S,Matese JC,Richardson JE,Ringwald M,Rubin GM,Sherlock G","journal":"Nat Genet","doi":"10.1038/75556","created_at":"2021-09-30T08:27:13.018Z","updated_at":"2021-09-30T08:27:13.018Z"},{"id":2564,"pubmed_id":14681407,"title":"The Gene Ontology (GO) database and informatics resource.","year":2003,"url":"http://doi.org/10.1093/nar/gkh036","authors":"Harris MA,Clark J,Ireland A,Lomax J,Ashburner M,Foulger R,Eilbeck K,Lewis S,Marshall B,Mungall C,Richter J,Rubin GM,Blake JA,Bult C,Dolan M,Drabkin H,Eppig JT,Hill DP,Ni L,Ringwald M,Balakrishnan R,Cherry JM,Christie KR,Costanzo MC, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh036","created_at":"2021-09-30T08:27:14.444Z","updated_at":"2021-09-30T11:29:39.413Z"},{"id":3078,"pubmed_id":23895341,"title":"Dovetailing biology and chemistry: integrating the Gene Ontology with the ChEBI chemical ontology.","year":2013,"url":"http://doi.org/10.1186/1471-2164-14-513","authors":"Hill DP,Adams N,Bada M,Batchelor C,Berardini TZ,Dietze H,Drabkin HJ,Ennis M,Foulger RE,Harris MA,Hastings J,Kale NS,de Matos P,Mungall CJ,Owen G,Roncaglia P,Steinbeck C,Turner S,Lomax J","journal":"BMC Genomics","doi":"10.1186/1471-2164-14-513","created_at":"2021-09-30T08:28:19.242Z","updated_at":"2021-09-30T08:28:19.242Z"},{"id":3351,"pubmed_id":null,"title":"The Gene Ontology resource: enriching a GOld mine","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa1113","authors":"undefined, undefined; Carbon, Seth; Douglass, Eric; Good, Benjamin M; Unni, Deepak R; Harris, Nomi L; Mungall, Christopher J; Basu, Siddartha; Chisholm, Rex L; Dodson, Robert J; Hartline, Eric; Fey, Petra; Thomas, Paul D; Albou, Laurent-Philippe; Ebert, Dustin; Kesling, Michael J; Mi, Huaiyu; Muruganujan, Anushya; Huang, Xiaosong; Mushayahama, Tremayne; LaBonte, Sandra A; Siegele, Deborah A; Antonazzo, Giulia; Attrill, Helen; Brown, Nick H; Garapati, Phani; Marygold, Steven J; Trovisco, Vitor; dos Santos, Gil; Falls, Kathleen; Tabone, Christopher; Zhou, Pinglei; Goodman, Joshua L; Strelets, Victor B; Thurmond, Jim; Garmiri, Penelope; Ishtiaq, Rizwan; Rodríguez-López, Milagros; Acencio, Marcio L; Kuiper, Martin; Lægreid, Astrid; Logie, Colin; Lovering, Ruth C; Kramarz, Barbara; Saverimuttu, Shirin C C; Pinheiro, Sandra M; Gunn, Heather; Su, Renzhi; Thurlow, Katherine E; Chibucos, Marcus; Giglio, Michelle; Nadendla, Suvarna; Munro, James; Jackson, Rebecca; Duesbury, Margaret J; Del-Toro, Noemi; Meldal, Birgit H M; Paneerselvam, Kalpana; Perfetto, Livia; Porras, Pablo; Orchard, Sandra; Shrivastava, Anjali; Chang, Hsin-Yu; Finn, Robert Daniel; Mitchell, Alexander Lawson; Rawlings, Neil David; Richardson, Lorna; Sangrador-Vegas, Amaia; Blake, Judith A; Christie, Karen R; Dolan, Mary E; Drabkin, Harold J; Hill, David P; Ni, Li; Sitnikov, Dmitry M; Harris, Midori A; Oliver, Stephen G; Rutherford, Kim; Wood, Valerie; Hayles, Jaqueline; Bähler, Jürg; Bolton, Elizabeth R; De Pons, Jeffery L; Dwinell, Melinda R; Hayman, G Thomas; Kaldunski, Mary L; Kwitek, Anne E; Laulederkind, Stanley J F; Plasterer, Cody; Tutaj, Marek A; Vedi, Mahima; Wang, Shur-Jen; D’Eustachio, Peter; Matthews, Lisa; Balhoff, James P; Aleksander, Suzi A; Alexander, Michael J; Cherry, J Michael; Engel, Stacia R; Gondwe, Felix; Karra, Kalpana; Miyasato, Stuart R; Nash, Robert S; Simison, Matt; Skrzypek, Marek S; Weng, Shuai; Wong, Edith D; Feuermann, Marc; Gaudet, Pascale; Morgat, Anne; Bakker, Erica; Berardini, Tanya Z; Reiser, Leonore; Subramaniam, Shabari; Huala, Eva; Arighi, Cecilia N; Auchincloss, Andrea; Axelsen, Kristian; Argoud-Puy, Ghislaine; Bateman, Alex; Blatter, Marie-Claude; Boutet, Emmanuel; Bowler, Emily; Breuza, Lionel; Bridge, Alan; Britto, Ramona; Bye-A-Jee, Hema; Casas, Cristina Casals; Coudert, Elisabeth; Denny, Paul; Estreicher, Anne; Famiglietti, Maria Livia; Georghiou, George; Gos, Arnaud; Gruaz-Gumowski, Nadine; Hatton-Ellis, Emma; Hulo, Chantal; Ignatchenko, Alexandr; Jungo, Florence; Laiho, Kati; Le Mercier, Philippe; Lieberherr, Damien; Lock, Antonia; Lussi, Yvonne; MacDougall, Alistair; Magrane, Michele; Martin, Maria J; Masson, Patrick; Natale, Darren A; Hyka-Nouspikel, Nevila; Orchard, Sandra; Pedruzzi, Ivo; Pourcel, Lucille; Poux, Sylvain; Pundir, Sangya; Rivoire, Catherine; Speretta, Elena; Sundaram, Shyamala; Tyagi, Nidhi; Warner, Kate; Zaru, Rossana; Wu, Cathy H; Diehl, Alexander D; Chan, Juancarlos N; Grove, Christian; Lee, Raymond Y N; Muller, Hans-Michael; Raciti, Daniela; Van Auken, Kimberly; Sternberg, Paul W; Berriman, Matthew; Paulini, Michael; Howe, Kevin; Gao, Sibyl; Wright, Adam; Stein, Lincoln; Howe, Douglas G; Toro, Sabrina; Westerfield, Monte; Jaiswal, Pankaj; Cooper, Laurel; Elser, Justin; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1113","created_at":"2022-05-09T07:49:44.330Z","updated_at":"2022-05-09T07:49:44.330Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2206,"relation":"undefined"}],"grants":[{"id":7431,"fairsharing_record_id":1417,"organisation_id":3125,"relation":"maintains","created_at":"2021-09-30T09:28:37.551Z","updated_at":"2021-09-30T09:28:37.551Z","grant_id":null,"is_lead":false,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7430,"fairsharing_record_id":1417,"organisation_id":1099,"relation":"maintains","created_at":"2021-09-30T09:28:37.513Z","updated_at":"2021-09-30T09:28:37.513Z","grant_id":null,"is_lead":true,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7432,"fairsharing_record_id":1417,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:37.587Z","updated_at":"2021-09-30T09:28:37.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7434,"fairsharing_record_id":1417,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:37.658Z","updated_at":"2021-09-30T09:29:48.618Z","grant_id":414,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"2U41HG002273-17","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8195,"fairsharing_record_id":1417,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:27.178Z","updated_at":"2021-09-30T09:31:27.259Z","grant_id":1175,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U41HG002273-14","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11546,"fairsharing_record_id":1417,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:13.856Z","updated_at":"2024-03-21T13:58:28.179Z","grant_id":37,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54-HG004028","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBY0k9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--17999ec75f811e894e6a645034077964b591019b/gologo.png?disposition=inline","exhaustive_licences":false}},{"id":"1424","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:36.000Z","updated_at":"2024-05-09T14:40:16.175Z","metadata":{"doi":"10.25504/FAIRsharing.9j4wh2","name":"Chemical Methods Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"batchelorc@rsc.org"}],"homepage":"https://github.com/rsc-ontologies/rsc-cmo","citations":[],"identifier":1424,"description":"CHMO, the chemical methods ontology, describes methods used to collect data in chemical experiments, such as mass spectrometry and electron microscopy; prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis; and synthesise materials such as epitaxy and continuous vapour deposition. It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns. It is intended to be complementary to the Ontology for Biomedical Investigations (OBI).","abbreviation":"CHMO","support_links":[{"url":"https://github.com/rsc-ontologies/rsc-cmo/issues","name":"Issue Tracker","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHMO","name":"CHMO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/chmo.html","name":"chmo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000994","bsg-s000994"],"name":"FAIRsharing record for: Chemical Methods Ontology","abbreviation":"CHMO","url":"https://fairsharing.org/10.25504/FAIRsharing.9j4wh2","doi":"10.25504/FAIRsharing.9j4wh2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CHMO, the chemical methods ontology, describes methods used to collect data in chemical experiments, such as mass spectrometry and electron microscopy; prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis; and synthesise materials such as epitaxy and continuous vapour deposition. It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns. It is intended to be complementary to the Ontology for Biomedical Investigations (OBI).","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12120}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry"],"domains":["Chromatography","Electron microscopy","Assay","Mass spectrometry assay"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2190,"relation":"undefined"}],"grants":[{"id":7441,"fairsharing_record_id":1424,"organisation_id":2467,"relation":"maintains","created_at":"2021-09-30T09:28:37.840Z","updated_at":"2021-09-30T09:28:37.840Z","grant_id":null,"is_lead":true,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1425","type":"fairsharing_records","attributes":{"created_at":"2020-10-31T17:14:13.000Z","updated_at":"2024-03-26T17:11:39.454Z","metadata":{"doi":"10.25504/FAIRsharing.gB7jed","name":"Core Scientific Dataset Model","status":"ready","contacts":[{"contact_name":"Philip Grandinetti","contact_email":"grandinetti.1@osu.edu","contact_orcid":"0000-0003-0102-316X"}],"homepage":"https://csdmpy.readthedocs.io","citations":[{"doi":"10.1371/journal.pone.0225953","publication_id":3064}],"identifier":1425,"description":"The Core Scientific Dataset (CSD) model with JavaScript Object Notation (JSON) serialization is a lightweight, portable, and versatile standard for intra- and interdisciplinary scientific data exchange. It can also hold correlated datasets assuming the different physical quantities (dependent variables) are sampled on the same orthogonal grid of independent variables. The model encapsulates the dependent variables’ sampled data values and the minimum metadata needed to accurately represent this data in an appropriate coordinate system of independent variables. The CSD model can serve as a re-usable building block in the development of more sophisticated portable scientific dataset file standards.","abbreviation":"CSD Model","support_links":[{"url":"https://csdmpy.readthedocs.io/en/stable/CSD_model.html","name":"About the Model","type":"Help documentation"}],"year_creation":2020,"associated_tools":[{"url":"https://csdmpy.readthedocs.io","name":"csdmpy python library"}]},"legacy_ids":["bsg-001537","bsg-s001537"],"name":"FAIRsharing record for: Core Scientific Dataset Model","abbreviation":"CSD Model","url":"https://fairsharing.org/10.25504/FAIRsharing.gB7jed","doi":"10.25504/FAIRsharing.gB7jed","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Core Scientific Dataset (CSD) model with JavaScript Object Notation (JSON) serialization is a lightweight, portable, and versatile standard for intra- and interdisciplinary scientific data exchange. It can also hold correlated datasets assuming the different physical quantities (dependent variables) are sampled on the same orthogonal grid of independent variables. The model encapsulates the dependent variables’ sampled data values and the minimum metadata needed to accurately represent this data in an appropriate coordinate system of independent variables. The CSD model can serve as a re-usable building block in the development of more sophisticated portable scientific dataset file standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Astrophysics and Astronomy","Earth Science","Materials Science","Physics","Biology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Denmark","France","United States"],"publications":[{"id":3064,"pubmed_id":null,"title":"Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data","year":2020,"url":"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0225953","authors":"Deepansh Srivastava, Thomas Vosegaard, Dominique Massiot, Philip J. Grandinetti","journal":"PLOS ONE","doi":"10.1371/journal.pone.0225953","created_at":"2021-09-30T08:28:17.576Z","updated_at":"2021-09-30T08:28:17.576Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2151,"relation":"undefined"}],"grants":[{"id":7442,"fairsharing_record_id":1425,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:37.865Z","updated_at":"2021-09-30T09:29:19.826Z","grant_id":198,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"Research Infrastructures Grant 731005","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7443,"fairsharing_record_id":1425,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:37.890Z","updated_at":"2021-09-30T09:30:46.574Z","grant_id":864,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DIBBS OAC 1640899","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7897,"fairsharing_record_id":1425,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:29:33.025Z","updated_at":"2021-09-30T09:29:33.130Z","grant_id":296,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"H2020 Future and Emerging Technologies Grant 731475","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11633,"fairsharing_record_id":1425,"organisation_id":2236,"relation":"maintains","created_at":"2024-03-26T15:08:19.189Z","updated_at":"2024-03-26T15:08:19.189Z","grant_id":null,"is_lead":true,"saved_state":{"id":2236,"name":"Ohio State University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1426","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:23.000Z","updated_at":"2023-03-14T18:56:06.096Z","metadata":{"doi":"10.25504/FAIRsharing.6mck","name":"Children's Health Exposure Analysis Resource","status":"ready","contacts":[{"contact_name":"Deborah L. McGuinness","contact_email":"dlm@cs.rpi.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/CHEAR","citations":[],"identifier":1426,"description":"Children's health and wellbeing are influenced by interactions between environmental and genetic factors. NIEHS is establishing an infrastructure, the Children's Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and data analyses that add or expand the inclusion of environmental exposures in children's health research. The goal of CHEAR is to provide tools so researchers can assess the full range of environmental exposures which may affect children's health. We anticipate that CHEAR will be used by children's health researchers conducting epidemiological or clinical studies that currently have limited consideration of environmental exposures, or those who have collected exposure data but seek more extensive analyses.","abbreviation":"CHEAR","support_links":[{"url":"pinhep@rpi.edu","name":"Paulo Pinheiro","type":"Support email"},{"url":"mccusj2@rpi.edu","name":"James McCusker","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CHEAR","name":"CHEAR","portal":"BioPortal"}]},"legacy_ids":["bsg-000744","bsg-s000744"],"name":"FAIRsharing record for: Children's Health Exposure Analysis Resource","abbreviation":"CHEAR","url":"https://fairsharing.org/10.25504/FAIRsharing.6mck","doi":"10.25504/FAIRsharing.6mck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Children's health and wellbeing are influenced by interactions between environmental and genetic factors. NIEHS is establishing an infrastructure, the Children's Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and data analyses that add or expand the inclusion of environmental exposures in children's health research. The goal of CHEAR is to provide tools so researchers can assess the full range of environmental exposures which may affect children's health. We anticipate that CHEAR will be used by children's health researchers conducting epidemiological or clinical studies that currently have limited consideration of environmental exposures, or those who have collected exposure data but seek more extensive analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Health Science","Pediatrics"],"domains":["Exposure"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10416,"fairsharing_record_id":1426,"organisation_id":2421,"relation":"undefined","created_at":"2023-03-14T18:55:57.042Z","updated_at":"2023-03-14T18:55:57.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":2421,"name":"Rensselaer Polytechnic Institute","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1414","type":"fairsharing_records","attributes":{"created_at":"2020-06-07T09:12:47.000Z","updated_at":"2022-07-20T12:46:54.787Z","metadata":{"doi":"10.25504/FAIRsharing.zpCPN7","name":"Minimum Information about a Molecular Interaction Causal Statement","status":"ready","contacts":[{"contact_name":"Vasundra Touré","contact_email":"vasundra.toure@ntnu.no","contact_orcid":"0000-0003-4639-4431"}],"homepage":"https://github.com/MI2CAST/MI2CAST","identifier":1414,"description":"The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST) guidelines describe the minimum and necessary information to depict causal interactions in molecular biology, as well as contextual details. The aim is to homogenize their representation for better usability and understanding, by making the data “FAIR” (Findable, Accessible, Interoperable and Reproducible). This checklist considers terms used in different formats (e.g., PSI-MITAB2.8, BEL, GO-CAM) and covers the full range of metadata that should ideally be annotated during the curation process to enrich the description of a molecular causal interaction. Complying with these guidelines should be considered as good practice for the annotation of causal statements to generate high quality statements.","abbreviation":"MI2CAST","support_links":[{"url":"https://github.com/MI2CAST/MI2CAST/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2020,"associated_tools":[{"url":"https://mi2cast.github.io/causalBuilder/","name":"causalBuilder 1.0"}]},"legacy_ids":["bsg-001483","bsg-s001483"],"name":"FAIRsharing record for: Minimum Information about a Molecular Interaction Causal Statement","abbreviation":"MI2CAST","url":"https://fairsharing.org/10.25504/FAIRsharing.zpCPN7","doi":"10.25504/FAIRsharing.zpCPN7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST) guidelines describe the minimum and necessary information to depict causal interactions in molecular biology, as well as contextual details. The aim is to homogenize their representation for better usability and understanding, by making the data “FAIR” (Findable, Accessible, Interoperable and Reproducible). This checklist considers terms used in different formats (e.g., PSI-MITAB2.8, BEL, GO-CAM) and covers the full range of metadata that should ideally be annotated during the curation process to enrich the description of a molecular causal interaction. Complying with these guidelines should be considered as good practice for the annotation of causal statements to generate high quality statements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Systems Medicine","Systems Biology"],"domains":["Molecular entity","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":3004,"pubmed_id":null,"title":"The Minimum Information about a Molecular Interaction Causal Statement (MI2CAST)","year":2020,"url":"https://doi.org/10.1093/bioinformatics/btaa622","authors":"Touré et al.","journal":"Bioinformatics","doi":null,"created_at":"2021-09-30T08:28:10.356Z","updated_at":"2021-09-30T08:28:10.356Z"}],"licence_links":[],"grants":[{"id":7410,"fairsharing_record_id":1414,"organisation_id":2980,"relation":"maintains","created_at":"2021-09-30T09:28:36.829Z","updated_at":"2021-09-30T09:28:36.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":2980,"name":"Universit d'Aix-Marseille, Marseille, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7414,"fairsharing_record_id":1414,"organisation_id":863,"relation":"maintains","created_at":"2021-09-30T09:28:36.928Z","updated_at":"2021-09-30T09:28:36.928Z","grant_id":null,"is_lead":false,"saved_state":{"id":863,"name":"Enveda Therapeutics","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7416,"fairsharing_record_id":1414,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:36.978Z","updated_at":"2021-09-30T09:28:36.978Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7419,"fairsharing_record_id":1414,"organisation_id":3062,"relation":"maintains","created_at":"2021-09-30T09:28:37.077Z","updated_at":"2021-09-30T09:28:37.077Z","grant_id":null,"is_lead":false,"saved_state":{"id":3062,"name":"University of Heidelberg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7422,"fairsharing_record_id":1414,"organisation_id":3125,"relation":"maintains","created_at":"2021-09-30T09:28:37.191Z","updated_at":"2021-09-30T09:28:37.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7409,"fairsharing_record_id":1414,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:28:36.805Z","updated_at":"2021-09-30T09:28:36.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7411,"fairsharing_record_id":1414,"organisation_id":3026,"relation":"maintains","created_at":"2021-09-30T09:28:36.854Z","updated_at":"2021-09-30T09:28:36.854Z","grant_id":null,"is_lead":false,"saved_state":{"id":3026,"name":"University of Calabria","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7412,"fairsharing_record_id":1414,"organisation_id":679,"relation":"maintains","created_at":"2021-09-30T09:28:36.878Z","updated_at":"2021-09-30T09:28:36.878Z","grant_id":null,"is_lead":false,"saved_state":{"id":679,"name":"Department of Biology, University of Rome Tor Vergata, Rome, Italy","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7413,"fairsharing_record_id":1414,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:36.905Z","updated_at":"2021-09-30T09:28:36.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7415,"fairsharing_record_id":1414,"organisation_id":725,"relation":"maintains","created_at":"2021-09-30T09:28:36.955Z","updated_at":"2021-09-30T09:28:36.955Z","grant_id":null,"is_lead":false,"saved_state":{"id":725,"name":"Department of Medicine, University of California San Diego","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7418,"fairsharing_record_id":1414,"organisation_id":2200,"relation":"maintains","created_at":"2021-09-30T09:28:37.034Z","updated_at":"2021-09-30T09:28:37.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":2200,"name":"NTNU - Norwegian University of Science and Technology","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7420,"fairsharing_record_id":1414,"organisation_id":663,"relation":"maintains","created_at":"2021-09-30T09:28:37.115Z","updated_at":"2021-09-30T09:28:37.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":663,"name":"Departement de Biologie (IBENS), Ecole Normale Superieure, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7421,"fairsharing_record_id":1414,"organisation_id":202,"relation":"maintains","created_at":"2021-09-30T09:28:37.152Z","updated_at":"2021-09-30T09:28:37.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":202,"name":"Berkeley BOP (BBOP), Lawrence Berkeley National Labs (LBNL), Berkeley, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7423,"fairsharing_record_id":1414,"organisation_id":2477,"relation":"maintains","created_at":"2021-09-30T09:28:37.222Z","updated_at":"2021-09-30T09:28:37.222Z","grant_id":null,"is_lead":false,"saved_state":{"id":2477,"name":"RWTH Aachen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9327,"fairsharing_record_id":1414,"organisation_id":403,"relation":"maintains","created_at":"2022-04-11T12:07:30.677Z","updated_at":"2022-04-11T12:07:30.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1415","type":"fairsharing_records","attributes":{"created_at":"2020-10-05T11:21:59.000Z","updated_at":"2022-07-20T12:48:01.185Z","metadata":{"doi":"10.25504/FAIRsharing.q47I0t","name":"CryoEM Ontology","status":"ready","contacts":[{"contact_name":"Carlos Oscar S. Sorzano","contact_email":"coss@cnb.csic.es","contact_orcid":"0000-0002-9473-283X"}],"homepage":"http://scipion.i2pc.es/ontology/cryoem","identifier":1415,"description":"The CryoEM Ontology for describing objects and workflows in Single Particle Analysis by Cryo Electron Microscopy.","abbreviation":"CryoEM Ontology","year_creation":2020,"associated_tools":[{"url":"http://scipion.i2pc.es","name":"Scipion 3"}]},"legacy_ids":["bsg-001477","bsg-s001477"],"name":"FAIRsharing record for: CryoEM Ontology","abbreviation":"CryoEM Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.q47I0t","doi":"10.25504/FAIRsharing.q47I0t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CryoEM Ontology for describing objects and workflows in Single Particle Analysis by Cryo Electron Microscopy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Structural Biology"],"domains":["Electron microscopy"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":845,"relation":"undefined"}],"grants":[{"id":7424,"fairsharing_record_id":1415,"organisation_id":2528,"relation":"maintains","created_at":"2021-09-30T09:28:37.250Z","updated_at":"2021-09-30T09:28:37.250Z","grant_id":null,"is_lead":true,"saved_state":{"id":2528,"name":"Scipion","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1416","type":"fairsharing_records","attributes":{"created_at":"2016-10-20T19:16:28.000Z","updated_at":"2022-07-20T09:59:56.447Z","metadata":{"doi":"10.25504/FAIRsharing.sbfp9e","name":"Minimum Information Required for A Glycomics Experiment - Glycan Microarray Analysis","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/mirage/guidelines#glycan_microarrays","citations":[],"identifier":1416,"description":"MIRAGE (Minimum Information Required for A Glycomics Experiment was created to improve the quality of glycomics data in the scientific literature. These guidelines were drafted to be intentionally minimal and apply only to information required for generating interpretable data from a glycan array experiment. We have identified 8 areas, numbered in the workflow shown below, that are required for generating an unambiguous glycan array in the first instance and obtaining binding data. For each numbered component of the workflow area we provide guidelines for the minimal information that should be provided in reporting results.","abbreviation":"MIRAGE Glycan Microarray Analysis","year_creation":2016},"legacy_ids":["bsg-000683","bsg-s000683"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Glycan Microarray Analysis","abbreviation":"MIRAGE Glycan Microarray Analysis","url":"https://fairsharing.org/10.25504/FAIRsharing.sbfp9e","doi":"10.25504/FAIRsharing.sbfp9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRAGE (Minimum Information Required for A Glycomics Experiment was created to improve the quality of glycomics data in the scientific literature. These guidelines were drafted to be intentionally minimal and apply only to information required for generating interpretable data from a glycan array experiment. We have identified 8 areas, numbered in the workflow shown below, that are required for generating an unambiguous glycan array in the first instance and obtaining binding data. For each numbered component of the workflow area we provide guidelines for the minimal information that should be provided in reporting results.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12073}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Glycomics"],"domains":["Microarray experiment"],"taxonomies":["All"],"user_defined_tags":["Glycan Microarray"],"countries":["Australia","Germany","United Kingdom","United States"],"publications":[{"id":682,"pubmed_id":24653214,"title":"MIRAGE: The minimum information required for a glycomics experiment","year":2014,"url":"http://doi.org/10.1093/glycob/cwu018","authors":"York WS, Agravat S, Aoki-Kinoshita KF et al.","journal":"Glycobiology","doi":"10.1093/glycob/cwu018","created_at":"2021-09-30T08:23:35.195Z","updated_at":"2021-09-30T08:23:35.195Z"},{"id":1177,"pubmed_id":27993942,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting glycan microarray-based data.","year":2016,"url":"http://doi.org/10.1093/glycob/cww118","authors":"Liu Y,McBride R,Stoll M et al.","journal":"Glycobiology","doi":"10.1093/glycob/cww118","created_at":"2021-09-30T08:24:30.866Z","updated_at":"2021-09-30T08:24:30.866Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1451,"relation":"undefined"}],"grants":[{"id":7425,"fairsharing_record_id":1416,"organisation_id":1201,"relation":"maintains","created_at":"2021-09-30T09:28:37.280Z","updated_at":"2021-09-30T09:28:37.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":1201,"name":"Griffith University, Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7428,"fairsharing_record_id":1416,"organisation_id":1320,"relation":"maintains","created_at":"2021-09-30T09:28:37.378Z","updated_at":"2021-09-30T09:28:37.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":1320,"name":"Imperial College London, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7426,"fairsharing_record_id":1416,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:37.305Z","updated_at":"2021-09-30T09:28:37.305Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7427,"fairsharing_record_id":1416,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:37.336Z","updated_at":"2021-09-30T09:28:37.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7429,"fairsharing_record_id":1416,"organisation_id":857,"relation":"maintains","created_at":"2021-09-30T09:28:37.471Z","updated_at":"2021-09-30T09:28:37.471Z","grant_id":null,"is_lead":false,"saved_state":{"id":857,"name":"Emory University, Atlanta, Georgia, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWUU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--82ff169ce78db014a08f9412a73b4cec5b241ed7/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1400","type":"fairsharing_records","attributes":{"created_at":"2020-11-23T12:15:41.000Z","updated_at":"2023-10-25T15:40:33.739Z","metadata":{"doi":"10.25504/FAIRsharing.99ff30","name":"Minimum Information about Clinical Artificial Intelligence Modeling","status":"ready","contacts":[{"contact_name":"Atul Butte","contact_email":"Atul.Butte@ucsf.edu","contact_orcid":"0000-0002-7433-2740"}],"homepage":"https://github.com/beaunorgeot/MI-CLAIM","citations":[{"doi":"10.1038/s41591-020-1041-y","pubmed_id":32908275,"publication_id":3079}],"identifier":1400,"description":"The MI-CLAIM checklist is a guideline intended to improve transparent reporting of AI algorithms in medicine. MI-CLAIM was created to enable a direct assessment of clinical impact (including FAIRness), and to allow rapid replication of the technical design process of any legitimate clinical AI study.","abbreviation":"MI-CLAIM checklist","support_links":[{"url":"https://github.com/beaunorgeot/MI-CLAIM/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001548","bsg-s001548"],"name":"FAIRsharing record for: Minimum Information about Clinical Artificial Intelligence Modeling","abbreviation":"MI-CLAIM checklist","url":"https://fairsharing.org/10.25504/FAIRsharing.99ff30","doi":"10.25504/FAIRsharing.99ff30","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MI-CLAIM checklist is a guideline intended to improve transparent reporting of AI algorithms in medicine. MI-CLAIM was created to enable a direct assessment of clinical impact (including FAIRness), and to allow rapid replication of the technical design process of any legitimate clinical AI study.","linked_records":[],"linking_records":[{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16982}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Artificial Intelligence","Clinical Studies","Computer Science"],"domains":["Machine learning"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3079,"pubmed_id":32908275,"title":"Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.","year":2020,"url":"http://doi.org/10.1038/s41591-020-1041-y","authors":"Norgeot B,Quer G,Beaulieu-Jones BK,Torkamani A,Dias R,Gianfrancesco M,Arnaout R,Kohane IS,Saria S,Topol E,Obermeyer Z,Yu B,Butte AJ","journal":"Nat Med","doi":"10.1038/s41591-020-1041-y","created_at":"2021-09-30T08:28:19.359Z","updated_at":"2021-09-30T08:28:19.359Z"}],"licence_links":[],"grants":[{"id":7379,"fairsharing_record_id":1400,"organisation_id":2531,"relation":"maintains","created_at":"2021-09-30T09:28:35.668Z","updated_at":"2021-09-30T09:28:35.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":2531,"name":"Scripps Research Translational Institute, San Diego, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7382,"fairsharing_record_id":1400,"organisation_id":697,"relation":"maintains","created_at":"2021-09-30T09:28:35.761Z","updated_at":"2021-09-30T09:28:35.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":697,"name":"Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7378,"fairsharing_record_id":1400,"organisation_id":160,"relation":"maintains","created_at":"2021-09-30T09:28:35.626Z","updated_at":"2021-09-30T09:28:35.626Z","grant_id":null,"is_lead":true,"saved_state":{"id":160,"name":"Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7380,"fairsharing_record_id":1400,"organisation_id":680,"relation":"maintains","created_at":"2021-09-30T09:28:35.705Z","updated_at":"2021-09-30T09:28:35.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":680,"name":"Department of Biomedical Informatics (DBMI), Blavatnik Institute, Harvard Medical School, Boston, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7381,"fairsharing_record_id":1400,"organisation_id":772,"relation":"maintains","created_at":"2021-09-30T09:28:35.737Z","updated_at":"2021-09-30T09:28:35.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":772,"name":"Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7383,"fairsharing_record_id":1400,"organisation_id":770,"relation":"maintains","created_at":"2021-09-30T09:28:35.786Z","updated_at":"2021-09-30T09:28:35.786Z","grant_id":null,"is_lead":false,"saved_state":{"id":770,"name":"Division of Health Policy and Management, School of Public Health, University of California at Berkeley, Berkeley, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1401","type":"fairsharing_records","attributes":{"created_at":"2020-04-27T11:58:36.000Z","updated_at":"2022-07-20T13:02:26.522Z","metadata":{"doi":"10.25504/FAIRsharing.aVmpKl","name":"Coronavirus Infectious Disease Ontology","status":"ready","contacts":[{"contact_name":"Yongqun Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/cido-ontology/cido","citations":[{"doi":"10.1038/s41597-020-0523-6","pubmed_id":32533075,"publication_id":2993}],"identifier":1401,"description":"The Ontology of Coronavirus Infectious Disease (CIDO) is a community-driven open-source biomedical ontology in the area of coronavirus infectious disease. The CIDO is developed to provide standardized human- and computer-interpretable annotation and representation of various coronavirus infectious diseases, including their etiology, transmission, epidemiology, pathogenesis, diagnosis, prevention, and treatment. Its development follows the OBO Foundry Principles.","abbreviation":"CIDO","support_links":[{"url":"https://github.com/CIDO-ontology/cido/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"cido-discuss@googlegroups.com","name":"Google Groups","type":"Mailing list"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CIDO","name":"CIDO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/cido.html","name":"cido","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001471","bsg-s001471"],"name":"FAIRsharing record for: Coronavirus Infectious Disease Ontology","abbreviation":"CIDO","url":"https://fairsharing.org/10.25504/FAIRsharing.aVmpKl","doi":"10.25504/FAIRsharing.aVmpKl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Coronavirus Infectious Disease (CIDO) is a community-driven open-source biomedical ontology in the area of coronavirus infectious disease. The CIDO is developed to provide standardized human- and computer-interpretable annotation and representation of various coronavirus infectious diseases, including their etiology, transmission, epidemiology, pathogenesis, diagnosis, prevention, and treatment. Its development follows the OBO Foundry Principles.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12288},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12562}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Bioinformatics","Drug Repositioning","Virology","Epidemiology"],"domains":["Drug","Drug interaction","Infection","Disease"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["China","United States"],"publications":[{"id":2992,"pubmed_id":null,"title":"Ontological and Bioinformatic Analysis of Anti-Coronavirus Drugs and Their Implication for Drug Repurposing against COVID-19 (Preprint)","year":2020,"url":"http://dx.doi.org/10.20944/preprints202003.0413.v1","authors":"Yingtong Liu , Wallace Chan , Zhigang Wang , Junguk Hur ORCID logo , Jiangan Xie , Hong Yu , Yongqun He","journal":"Preprints.org","doi":null,"created_at":"2021-09-30T08:28:08.899Z","updated_at":"2021-09-30T08:28:08.899Z"},{"id":2993,"pubmed_id":32533075,"title":"CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis.","year":2020,"url":"http://doi.org/10.1038/s41597-020-0523-6","authors":"He Y,Yu H,Ong E,Wang Y,Liu Y,Huffman A,Huang HH,Beverley J,Hur J,Yang X,Chen L,Omenn GS,Athey B,Smith B","journal":"Sci Data","doi":"10.1038/s41597-020-0523-6","created_at":"2021-09-30T08:28:09.061Z","updated_at":"2021-09-30T08:28:09.061Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1911,"relation":"undefined"}],"grants":[{"id":7385,"fairsharing_record_id":1401,"organisation_id":1205,"relation":"maintains","created_at":"2021-09-30T09:28:35.836Z","updated_at":"2021-09-30T09:28:35.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":1205,"name":"Guizhou Medical University, Guiyang, Guizhou, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7384,"fairsharing_record_id":1401,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:35.812Z","updated_at":"2021-09-30T09:28:35.812Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1402","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:27:07.000Z","updated_at":"2023-03-14T16:06:54.363Z","metadata":{"doi":"10.25504/FAIRsharing.ysih8m","name":"CityJSON - A JSON-based encoding for 3D city models","status":"ready","contacts":[{"contact_name":"3D geoinformation group","contact_email":"3Dgeoinfo-BK@tudelft.nl"}],"homepage":"https://www.cityjson.org/","citations":[],"identifier":1402,"description":"CityJSON is a JSON-based encoding for storing 3D city models, also called digital maquettes or digital twins. The aim of CityJSON is to offer a compact and developer-friendly format, so that files can be easily visualised, manipulated, and edited. It was designed with programmers in mind, so that tools and APIs supporting it can be quickly built, and several have been created already.","abbreviation":"CityJSON","support_links":[{"url":"https://www.cityjson.org/help/","name":"Help","type":"Help documentation"}],"year_creation":2019,"associated_tools":[{"url":"https://www.cityjson.org/software/","name":"Various software supporting CityJSON"}]},"legacy_ids":["bsg-001490","bsg-s001490"],"name":"FAIRsharing record for: CityJSON - A JSON-based encoding for 3D city models","abbreviation":"CityJSON","url":"https://fairsharing.org/10.25504/FAIRsharing.ysih8m","doi":"10.25504/FAIRsharing.ysih8m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CityJSON is a JSON-based encoding for storing 3D city models, also called digital maquettes or digital twins. The aim of CityJSON is to offer a compact and developer-friendly format, so that files can be easily visualised, manipulated, and edited. It was designed with programmers in mind, so that tools and APIs supporting it can be quickly built, and several have been created already.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Urban Planning"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["3D city model","Geospatial Data"],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1863,"relation":"undefined"}],"grants":[{"id":7386,"fairsharing_record_id":1402,"organisation_id":4,"relation":"maintains","created_at":"2021-09-30T09:28:35.862Z","updated_at":"2021-09-30T09:28:35.862Z","grant_id":null,"is_lead":true,"saved_state":{"id":4,"name":"3D geoinformation research group","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1403","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T14:37:27.000Z","updated_at":"2022-07-20T12:10:22.116Z","metadata":{"name":"EngMeta","status":"in_development","contacts":[{"contact_name":"FoKUS","contact_email":"fokus@izus.uni-stuttgart.de"}],"homepage":"https://www.izus.uni-stuttgart.de/fokus/engmeta","identifier":1403,"description":"EngMeta is a metadata model for data from computational engineering based on existing standards and developed to enable a structured documentation of the research process and the simulation environment all together with discipline specific information about the simulated system.","abbreviation":"EngMeta","year_creation":2019,"associated_tools":[{"url":"https://github.com/bjschembera/ExtractIng","name":"ExtractIng"}]},"legacy_ids":["bsg-001492","bsg-s001492"],"name":"FAIRsharing record for: EngMeta","abbreviation":"EngMeta","url":"https://fairsharing.org/fairsharing_records/1403","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EngMeta is a metadata model for data from computational engineering based on existing standards and developed to enable a structured documentation of the research process and the simulation environment all together with discipline specific information about the simulated system.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Aerospace Engineering","Thermodynamics","Molecular Dynamics"],"domains":["Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":["Aerodynamics","High Performance Computing (HPC)"],"countries":["Germany"],"publications":[{"id":2991,"pubmed_id":null,"title":"EngMeta: metadata for computational engineering","year":2020,"url":"https://arxiv.org/abs/2005.01637","authors":"Björn Schembera and Dorothea Iglezakis","journal":"International Journal of Metadata, Semantics and Ontologies","doi":null,"created_at":"2021-09-30T08:28:08.782Z","updated_at":"2021-09-30T11:28:39.147Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1864,"relation":"undefined"}],"grants":[{"id":7388,"fairsharing_record_id":1403,"organisation_id":3129,"relation":"maintains","created_at":"2021-09-30T09:28:35.917Z","updated_at":"2021-09-30T09:28:35.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":3129,"name":"University of Stuttgart - University library","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7389,"fairsharing_record_id":1403,"organisation_id":1255,"relation":"maintains","created_at":"2021-09-30T09:28:35.959Z","updated_at":"2021-09-30T09:28:35.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":1255,"name":"HLRS","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9346,"fairsharing_record_id":1403,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.002Z","updated_at":"2022-04-11T12:07:32.020Z","grant_id":1674,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"16FDM008","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1404","type":"fairsharing_records","attributes":{"created_at":"2020-06-25T14:17:27.000Z","updated_at":"2022-07-20T12:58:40.230Z","metadata":{"doi":"10.25504/FAIRsharing.B0d5Kn","name":"Scholarly Link Exchange Metadata Schema","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@scholix.org"}],"homepage":"http://www.scholix.org/schema","citations":[{"publication_id":3000}],"identifier":1404,"description":"The Scholix metadata schema was created by journal publishers, data centres, and global service providers to collect and exchange links between research data and literature. The core of Scholix data is the Link Information Package, which contains information about two objects and about the link between them. The schema contains of all the properties in a Scholix link information package with their definitions, structure and occurrence rules. Many of the properties are optional; the schema is designed to allow bulk exchange of link information with a minimum of information relevant to the link being mandatory.","abbreviation":"Scholix","support_links":[{"url":"http://www.scholix.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.scholix.org/participate","name":"How to Participate","type":"Help documentation"},{"url":"http://www.scholix.org/about","name":"About","type":"Help documentation"},{"url":"http://www.scholix.org/presentations","name":"Presentations","type":"Help documentation"},{"url":"https://github.com/scholix/schema","name":"Github Repository","type":"Github"},{"url":"http://www.scholix.org/implementors","name":"Implementors","type":"Help documentation"},{"url":"https://github.com/scholix/schema/raw/master/xsd/v3/schema.xsd","name":"Scholix v3","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-001499","bsg-s001499"],"name":"FAIRsharing record for: Scholarly Link Exchange Metadata Schema","abbreviation":"Scholix","url":"https://fairsharing.org/10.25504/FAIRsharing.B0d5Kn","doi":"10.25504/FAIRsharing.B0d5Kn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Scholix metadata schema was created by journal publishers, data centres, and global service providers to collect and exchange links between research data and literature. The core of Scholix data is the Link Information Package, which contains information about two objects and about the link between them. The schema contains of all the properties in a Scholix link information package with their definitions, structure and occurrence rules. Many of the properties are optional; the schema is designed to allow bulk exchange of link information with a minimum of information relevant to the link being mandatory.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management"],"domains":["Citation","Resource metadata","Bibliography","Data identity and mapping"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3000,"pubmed_id":null,"title":"Scholix Metadata Schema for Exchange of Scholarly Communication Links (Version 3)","year":2017,"url":"https://doi.org/10.5281/zenodo.1120248","authors":"Burton, Adrian; Fenner, Martin; Haak, Wouter; Manghi, Paolo","journal":"Zenodo","doi":null,"created_at":"2021-09-30T08:28:09.899Z","updated_at":"2021-09-30T08:28:09.899Z"},{"id":3001,"pubmed_id":null,"title":"Bringing Citations and Usage Metrics Together to Make Data Count","year":2019,"url":"http://doi.org/10.5334/dsj-2019-009","authors":"Helena Cousijn , Patricia Feeney, Daniella Lowenberg, Eleonora Presani, Natasha Simons","journal":"Data Science Journal","doi":null,"created_at":"2021-09-30T08:28:10.008Z","updated_at":"2021-09-30T08:28:10.008Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1973,"relation":"undefined"}],"grants":[{"id":7390,"fairsharing_record_id":1404,"organisation_id":2405,"relation":"maintains","created_at":"2021-09-30T09:28:36.001Z","updated_at":"2021-09-30T09:28:36.001Z","grant_id":null,"is_lead":true,"saved_state":{"id":2405,"name":"RDA/WDS WG on Scholarly Links Exchange (Scholix)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1405","type":"fairsharing_records","attributes":{"created_at":"2018-04-17T12:49:22.000Z","updated_at":"2022-07-20T11:19:38.275Z","metadata":{"doi":"10.25504/FAIRsharing.b1xD9f","name":"Subject Resource Application Ontology","status":"ready","contacts":[{"contact_name":"FAIRsharing Team","contact_email":"contact@fairsharing.org"}],"homepage":"https://github.com/FAIRsharing/subject-ontology","citations":[],"identifier":1405,"description":"The Subject Resource Application Ontology (SRAO) is an application ontology describing subject areas / academic disciplines used within FAIRsharing records by curators and the user community. It is built in conjunction with the Domain Resource Application Ontology (DRAO), which contains more specific domain terms and other descriptors. All classes within SRAO come from publicly-available ontologies and controlled vocabularies.","abbreviation":"SRAO","support_links":[{"url":"https://github.com/FAIRsharing/subject-ontology/issues","name":"SRAO Issue Tracker","type":"Github"},{"url":"https://twitter.com/FAIRsharing_org","name":"@FAIRsharing_org","type":"Twitter"}],"year_creation":2018,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/srao","name":"OLS Entry","portal":"OLS"}]},"legacy_ids":["bsg-001177","bsg-s001177"],"name":"FAIRsharing record for: Subject Resource Application Ontology","abbreviation":"SRAO","url":"https://fairsharing.org/10.25504/FAIRsharing.b1xD9f","doi":"10.25504/FAIRsharing.b1xD9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Subject Resource Application Ontology (SRAO) is an application ontology describing subject areas / academic disciplines used within FAIRsharing records by curators and the user community. It is built in conjunction with the Domain Resource Application Ontology (DRAO), which contains more specific domain terms and other descriptors. All classes within SRAO come from publicly-available ontologies and controlled vocabularies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Humanities","Natural Science","Earth Science","Agriculture","Life Science","Computer Science","Biomedical Science"],"domains":["Resource metadata","Classification","FAIR"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1936,"relation":"undefined"}],"grants":[{"id":7391,"fairsharing_record_id":1405,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:36.038Z","updated_at":"2021-09-30T09:28:36.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1427","type":"fairsharing_records","attributes":{"created_at":"2021-01-29T16:11:18.000Z","updated_at":"2022-02-08T10:42:40.639Z","metadata":{"doi":"10.25504/FAIRsharing.4c7c1c","name":"DDBJ/ENA/GenBank Feature Table","status":"ready","contacts":[{"contact_name":"DDBJ general inquiry","contact_email":"ddbj@ddbj.nig.ac.jp"}],"homepage":"http://www.insdc.org/documents/feature-table","identifier":1427,"description":"The GenBank, EMBL, and DDBJ nucleic acid sequence data banks have from their inception used tables of sites and features to describe the roles and locations of higher order sequence domains and elements within the genome of an organism. In February, 1986, GenBank and EMBL began a collaborative effort (joined by DDBJ in 1987) to devise a common feature table format and common standards for annotation practice.","abbreviation":null,"year_creation":1986},"legacy_ids":["bsg-001583","bsg-s001583"],"name":"FAIRsharing record for: DDBJ/ENA/GenBank Feature Table","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4c7c1c","doi":"10.25504/FAIRsharing.4c7c1c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GenBank, EMBL, and DDBJ nucleic acid sequence data banks have from their inception used tables of sites and features to describe the roles and locations of higher order sequence domains and elements within the genome of an organism. In February, 1986, GenBank and EMBL began a collaborative effort (joined by DDBJ in 1987) to devise a common feature table format and common standards for annotation practice.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12133}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["Nucleic acid sequence","Sequence composition, complexity and repeats","Binding"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States"],"publications":[{"id":63,"pubmed_id":21106499,"title":"The International Nucleotide Sequence Database Collaboration.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1150","authors":"Cochrane G,Karsch-Mizrachi I,Nakamura Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1150","created_at":"2021-09-30T08:22:27.089Z","updated_at":"2021-09-30T11:28:42.176Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1801,"relation":"undefined"}],"grants":[{"id":7446,"fairsharing_record_id":1427,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:28:37.964Z","updated_at":"2021-09-30T09:28:37.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7445,"fairsharing_record_id":1427,"organisation_id":1504,"relation":"maintains","created_at":"2021-09-30T09:28:37.940Z","updated_at":"2021-09-30T09:28:37.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1504,"name":"International Nucleotide Sequence Database Collaboration (INSDC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7447,"fairsharing_record_id":1427,"organisation_id":252,"relation":"maintains","created_at":"2021-09-30T09:28:37.990Z","updated_at":"2021-09-30T09:28:37.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":252,"name":"Bioinformation and DDBJ Center","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7444,"fairsharing_record_id":1427,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:37.914Z","updated_at":"2021-09-30T09:28:37.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1428","type":"fairsharing_records","attributes":{"created_at":"2020-04-29T21:22:24.000Z","updated_at":"2022-07-20T10:57:10.539Z","metadata":{"doi":"10.25504/FAIRsharing.zwjNAh","name":"Adaptive Immune Receptor Repertoire Rearrangement Schema","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bcorrie@sfu.ca","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/datarep/rearrangements.html","citations":[{"doi":"10.3389/fimmu.2018.02206","pubmed_id":30323809,"publication_id":3025}],"identifier":1428,"description":"The Adaptive Immune Receptor Repertoire (AIRR) Rearrangement Schema, part of the AIRR Data Model, defines the annotations needed for rearrangements, which are sequences describing a rearranged adaptive immune receptor chain (e.g., antibody heavy chain or TCR beta chain). Data for Rearrangement objects are stored as rows in a tab-delimited file and should be compatible with any TSV reader. A dataset is defined in this context as: a TSV file, a TSV with a companion YAML file containing metadata, or a directory containing multiple TSV files and YAML files.","abbreviation":"AIRR Rearrangement Schema","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2018},"legacy_ids":["bsg-001474","bsg-s001474"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Rearrangement Schema","abbreviation":"AIRR Rearrangement Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.zwjNAh","doi":"10.25504/FAIRsharing.zwjNAh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adaptive Immune Receptor Repertoire (AIRR) Rearrangement Schema, part of the AIRR Data Model, defines the annotations needed for rearrangements, which are sequences describing a rearranged adaptive immune receptor chain (e.g., antibody heavy chain or TCR beta chain). Data for Rearrangement objects are stored as rows in a tab-delimited file and should be compatible with any TSV reader. A dataset is defined in this context as: a TSV file, a TSV with a companion YAML file containing metadata, or a directory containing multiple TSV files and YAML files.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11820}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex","Antibody"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3025,"pubmed_id":30323809,"title":"AIRR Community Standardized Representations for Annotated Immune Repertoires.","year":2018,"url":"http://doi.org/10.3389/fimmu.2018.02206","authors":"Vander Heiden JA,Marquez S,Marthandan N,Bukhari SAC,Busse CE,Corrie B,Hershberg U,Kleinstein SH,Matsen Iv FA,Ralph DK,Rosenfeld AM,Schramm CA,Christley S,Laserson U","journal":"Front Immunol","doi":"10.3389/fimmu.2018.02206","created_at":"2021-09-30T08:28:12.866Z","updated_at":"2021-09-30T08:28:12.866Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2073,"relation":"undefined"}],"grants":[{"id":7448,"fairsharing_record_id":1428,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.014Z","updated_at":"2021-09-30T09:28:38.014Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1461","type":"fairsharing_records","attributes":{"created_at":"2018-09-24T13:34:49.000Z","updated_at":"2023-09-29T11:54:57.213Z","metadata":{"doi":"10.25504/FAIRsharing.9de4c3","name":"ISO/TS 19115-3:2016 Geographic information -- Metadata -- Part 3: XML schema implementation for fundamental concepts","status":"ready","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/32579.html","citations":[],"identifier":1461,"description":"ISO/TS 19115-3:2016 defines an integrated XML implementation of ISO 19115‑1, ISO 19115‑2, and concepts from ISO/TS 19139 by defining the following artefacts: a) a set of XML schema required to validate metadata instance documents conforming to conceptual model elements defined in ISO 19115‑1, ISO 19115‑2, and ISO/TS 19139; b) a set of ISO/IEC 19757‑3 (Schematron) rules that implement validation constraints in the ISO 19115‑1 and ISO 19115‑2 UML models that are not validated by the XML schema; c) an Extensible Stylesheet Language Transformation (XSLT) for transforming ISO 19115-1 metadata encoded using the ISO/TS 19139 XML schema and ISO 19115‑2 metadata encoded using the ISO/TS 19139‑2 XML schema into an equivalent document that is valid against the XML schema defined in this document. ISO/TS 19115-3:2016 describes the procedure used to generate XML schema from ISO geographic information conceptual models related to metadata. The procedure includes creation of an UML model for XML implementation derived from the conceptual UML model.","abbreviation":"ISO/TS 19115-3:2016","year_creation":2016},"legacy_ids":["bsg-001292","bsg-s001292"],"name":"FAIRsharing record for: ISO/TS 19115-3:2016 Geographic information -- Metadata -- Part 3: XML schema implementation for fundamental concepts","abbreviation":"ISO/TS 19115-3:2016","url":"https://fairsharing.org/10.25504/FAIRsharing.9de4c3","doi":"10.25504/FAIRsharing.9de4c3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO/TS 19115-3:2016 defines an integrated XML implementation of ISO 19115‑1, ISO 19115‑2, and concepts from ISO/TS 19139 by defining the following artefacts: a) a set of XML schema required to validate metadata instance documents conforming to conceptual model elements defined in ISO 19115‑1, ISO 19115‑2, and ISO/TS 19139; b) a set of ISO/IEC 19757‑3 (Schematron) rules that implement validation constraints in the ISO 19115‑1 and ISO 19115‑2 UML models that are not validated by the XML schema; c) an Extensible Stylesheet Language Transformation (XSLT) for transforming ISO 19115-1 metadata encoded using the ISO/TS 19139 XML schema and ISO 19115‑2 metadata encoded using the ISO/TS 19139‑2 XML schema into an equivalent document that is valid against the XML schema defined in this document. ISO/TS 19115-3:2016 describes the procedure used to generate XML schema from ISO geographic information conceptual models related to metadata. The procedure includes creation of an UML model for XML implementation derived from the conceptual UML model.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1757,"relation":"undefined"}],"grants":[{"id":7504,"fairsharing_record_id":1461,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:28:39.985Z","updated_at":"2021-09-30T09:28:39.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10915,"fairsharing_record_id":1461,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:06:56.688Z","updated_at":"2023-09-27T14:06:56.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1462","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:10.242Z","metadata":{"doi":"10.25504/FAIRsharing.ew26v7","name":"Structure Data Format","status":"ready","homepage":"http://en.wikipedia.org/wiki/SD_format#SDF","identifier":1462,"description":"Structure Data Format (SDF) is a chemical file formats to represent multiple chemical structure records and associated data fields. SDF was developed and published by Molecular Design Limited (MDL) and became the most widely used standard for importing and exporting information on chemicals.","abbreviation":"SDF","support_links":[{"url":"https://cactus.nci.nih.gov/SDF_toolkit/#6","type":"Help documentation"}],"year_creation":1991},"legacy_ids":["bsg-000273","bsg-s000273"],"name":"FAIRsharing record for: Structure Data Format","abbreviation":"SDF","url":"https://fairsharing.org/10.25504/FAIRsharing.ew26v7","doi":"10.25504/FAIRsharing.ew26v7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Structure Data Format (SDF) is a chemical file formats to represent multiple chemical structure records and associated data fields. SDF was developed and published by Molecular Design Limited (MDL) and became the most widely used standard for importing and exporting information on chemicals.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18265},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11735},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12106}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity","X-ray crystallography assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1707,"pubmed_id":null,"title":"Description of several chemical-structure file formats used by computer-programs developed at Molecular Design Limited","year":1992,"url":"http://doi.org/10.1021/ci00007a012","authors":"Dalby A, Nourse JG, Hounshell WD, Gushurst Aki, Grier DL, Leland BA, Laufer J","journal":"Journal of Chemical Information and Computer Sciences","doi":"10.1021/ci00007a012","created_at":"2021-09-30T08:25:31.287Z","updated_at":"2021-09-30T08:25:31.287Z"}],"licence_links":[],"grants":[{"id":7505,"fairsharing_record_id":1462,"organisation_id":1809,"relation":"maintains","created_at":"2021-09-30T09:28:40.017Z","updated_at":"2021-09-30T09:28:40.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":1809,"name":"MDL Information Systems","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1463","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:31.000Z","updated_at":"2022-07-20T11:57:18.074Z","metadata":{"doi":"10.25504/FAIRsharing.c2yb5w","name":"Metadata Authority Description Schema in RDF","status":"ready","contacts":[{"contact_name":"Nancy Lorimer","contact_email":"nlorimer@stanford.edu"}],"homepage":"http://id.loc.gov/ontologies/madsrdf/v1.html","identifier":1463,"description":"MADS/RDF is a knowledge organization system (KOS) designed for use with controlled values for names (personal, corporate, geographic, etc.), thesauri, taxonomies, subject heading systems, and other controlled value lists. It is closely related to SKOS, the Simple Knowledge Organization System and a widely supported and adopted RDF vocabulary. MADS/RDF has been fully mapped to SKOS. It is presented as an OWL ontology. While SKOS is very broad in its application, MADS/RDF is designed specifically to support authority data as used by and needed in the LIS community and its technology systems. For example, MADS/RDF provides a means to record data from the Machine Readable Cataloging (MARC) Authorities format in RDF for use in semantic applications and Linked Data projects.","abbreviation":"MADS/RDF","support_links":[{"url":"mods@listserv.loc.gov","name":"Support Email","type":"Support email"},{"url":"ndmso@loc.gov","name":"Network Development and MARC Standards Office","type":"Support email"},{"url":"http://www.loc.gov/standards/mads/rdf/","name":"MADS/RDF Primer","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000899","bsg-s000899"],"name":"FAIRsharing record for: Metadata Authority Description Schema in RDF","abbreviation":"MADS/RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.c2yb5w","doi":"10.25504/FAIRsharing.c2yb5w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MADS/RDF is a knowledge organization system (KOS) designed for use with controlled values for names (personal, corporate, geographic, etc.), thesauri, taxonomies, subject heading systems, and other controlled value lists. It is closely related to SKOS, the Simple Knowledge Organization System and a widely supported and adopted RDF vocabulary. MADS/RDF has been fully mapped to SKOS. It is presented as an OWL ontology. While SKOS is very broad in its application, MADS/RDF is designed specifically to support authority data as used by and needed in the LIS community and its technology systems. For example, MADS/RDF provides a means to record data from the Machine Readable Cataloging (MARC) Authorities format in RDF for use in semantic applications and Linked Data projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":1979,"relation":"undefined"}],"grants":[{"id":7506,"fairsharing_record_id":1463,"organisation_id":2132,"relation":"maintains","created_at":"2021-09-30T09:28:40.064Z","updated_at":"2021-09-30T09:28:40.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":2132,"name":"Network Development and MARC Standards Office","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1464","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T12:25:09.000Z","updated_at":"2022-02-08T10:29:02.994Z","metadata":{"doi":"10.25504/FAIRsharing.b4af3c","name":"North American Profile of ISO19115:2003 - Geographic information - Metadata","status":"ready","contacts":[{"contact_name":"FGDC General Contact","contact_email":"fgdc@fgdc.gov"}],"homepage":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata","identifier":1464,"description":"The North American Profile of ISO 19115:2003, Geographic information - Metadata, is intended to identify geospatial metadata that are needed for North American organizations to describe their geospatial data, including dataset and dataset series, and related Web services. It provides a mechanism for organizations producing geographic information to describe datasets in detail. The Profile helps users to better understand geographic metadata, the assumptions and limitations of geographic information, and facilitates the search for proper information to fit users’ needs. It is based on ISO 19115:2003, Geographic information - Metadata, and ISO 19106:2004, Geographic information - Profiles. It also includes service metadata from ISO 19119:2005, Geographic information - Services, and implementation perspectives from ISO/TS 19139:200,7 Geographic information - Metadata - XML schema implementation. Please note this profile extends ISO 19115:2003.","abbreviation":null,"support_links":[{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/Comment%20Submission%20Form.xls/view","name":"Comment Submission Form","type":"Contact form"},{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/napMetadataProfileV101.pdf/view","name":"North American Profile Specification","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/JointConsolidatedComments%20for%20ISO19115%20NAP%202007-03-16sortedv3.doc/view","name":"Comments on the first draft of the NAP document","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/incits-l1-standards-projects/NAP-Metadata/NAP_Metadata","name":"Comments on draft from Metadata practitioners","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-001308","bsg-s001308"],"name":"FAIRsharing record for: North American Profile of ISO19115:2003 - Geographic information - Metadata","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.b4af3c","doi":"10.25504/FAIRsharing.b4af3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The North American Profile of ISO 19115:2003, Geographic information - Metadata, is intended to identify geospatial metadata that are needed for North American organizations to describe their geospatial data, including dataset and dataset series, and related Web services. It provides a mechanism for organizations producing geographic information to describe datasets in detail. The Profile helps users to better understand geographic metadata, the assumptions and limitations of geographic information, and facilitates the search for proper information to fit users’ needs. It is based on ISO 19115:2003, Geographic information - Metadata, and ISO 19106:2004, Geographic information - Profiles. It also includes service metadata from ISO 19119:2005, Geographic information - Services, and implementation perspectives from ISO/TS 19139:200,7 Geographic information - Metadata - XML schema implementation. Please note this profile extends ISO 19115:2003.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Canada","United States"],"publications":[],"licence_links":[],"grants":[{"id":7507,"fairsharing_record_id":1464,"organisation_id":1001,"relation":"maintains","created_at":"2021-09-30T09:28:40.106Z","updated_at":"2021-09-30T09:28:40.106Z","grant_id":null,"is_lead":true,"saved_state":{"id":1001,"name":"Federal Geographic Data Committee (FGDC), Virginia, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1465","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-03-13T09:23:57.779Z","metadata":{"doi":"10.25504/FAIRsharing.hs43fc","name":"Fish Ontology","status":"ready","contacts":[{"contact_name":"Sarinder Kaur","contact_email":"sarinder@um.edu.my"}],"homepage":"https://mohdnajib1985.github.io/FOWebPage/","citations":[],"identifier":1465,"description":"This Fish Ontology is an ontology created as how the author views the fish structure following the book \"The Diversity of Fishes: Biology, Evolution and Ecology\" as the main reference, which covers one part of view on ichthyology, with an emphasis on diversity and adaptation. This ontology is created with the mindset of categorizing fish automatically based on the attributes and terms mined from the fish specimen. Most of the basic organization from this ontology follows Nelson's research due to its synthetic and broad approach, while recognizing that Nelson's conclusions are one of many alternative interpretations of the literature, which is mostly agreed by our main references, and many fish and fisheries researchers. Most of the classification used in this ontology is in no means completed and just following the recent classification provided by the books For now our work focused more on two group of fish which is early jawless fish, and advanced jawed fishes. The classification from both of this group are structured following the reference.","abbreviation":"FISHO","support_links":[{"url":"23.mohdnajib@gmail.com","name":"Mohd Najib","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FISHO","name":"FISHO","portal":"BioPortal"}]},"legacy_ids":["bsg-001028","bsg-s001028"],"name":"FAIRsharing record for: Fish Ontology","abbreviation":"FISHO","url":"https://fairsharing.org/10.25504/FAIRsharing.hs43fc","doi":"10.25504/FAIRsharing.hs43fc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This Fish Ontology is an ontology created as how the author views the fish structure following the book \"The Diversity of Fishes: Biology, Evolution and Ecology\" as the main reference, which covers one part of view on ichthyology, with an emphasis on diversity and adaptation. This ontology is created with the mindset of categorizing fish automatically based on the attributes and terms mined from the fish specimen. Most of the basic organization from this ontology follows Nelson's research due to its synthetic and broad approach, while recognizing that Nelson's conclusions are one of many alternative interpretations of the literature, which is mostly agreed by our main references, and many fish and fisheries researchers. Most of the classification used in this ontology is in no means completed and just following the recent classification provided by the books For now our work focused more on two group of fish which is early jawless fish, and advanced jawed fishes. The classification from both of this group are structured following the reference.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fisheries Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1466","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-06T10:24:28.648Z","metadata":{"doi":"10.25504/FAIRsharing.rtm51","name":"Gene Product Annotation Data","status":"ready","contacts":[{"contact_name":"General enquiries","contact_email":"go-discuss@geneontology.org"}],"homepage":"http://geneontology.org/docs/gene-product-association-data-gpad-format/","identifier":1466,"description":"The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation.","abbreviation":"GPAD 1.1"},"legacy_ids":["bsg-000519","bsg-s000519"],"name":"FAIRsharing record for: Gene Product Annotation Data","abbreviation":"GPAD 1.1","url":"https://fairsharing.org/10.25504/FAIRsharing.rtm51","doi":"10.25504/FAIRsharing.rtm51","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein","Transcript","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7509,"fairsharing_record_id":1466,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:40.185Z","updated_at":"2021-09-30T09:28:40.185Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9495,"fairsharing_record_id":1466,"organisation_id":1099,"relation":"maintains","created_at":"2022-05-05T13:13:31.004Z","updated_at":"2022-05-05T13:13:31.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1467","type":"fairsharing_records","attributes":{"created_at":"2020-01-09T09:19:12.000Z","updated_at":"2022-07-20T12:19:36.839Z","metadata":{"doi":"10.25504/FAIRsharing.ZkwSlo","name":"Animal Health Ontology for Livestock","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"vocabulaires-ouverts@inrae.fr"}],"homepage":"http://www.atol-ontology.com/en/a-ahol/","identifier":1467,"description":"The AHOL ontology (Animal Health Ontology for Livestock) was built collaboratively within a network of experts in the livestock health field, in order to describe production diseases. Its structure is based on the type of disease: communicable, non communicable, genetic, metabolic, physical or psychological. The properties of each disease are related to associated symptoms (the expression of a phenotypical character), the affected organism (livestock, poultry, mammals, fishes) or the one causing the disease (virus, bacteria, fungus, parasite).","abbreviation":"AHOL","year_creation":2019,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/AHOL","name":"AHOL","portal":"BioPortal"}]},"legacy_ids":["bsg-001429","bsg-s001429"],"name":"FAIRsharing record for: Animal Health Ontology for Livestock","abbreviation":"AHOL","url":"https://fairsharing.org/10.25504/FAIRsharing.ZkwSlo","doi":"10.25504/FAIRsharing.ZkwSlo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AHOL ontology (Animal Health Ontology for Livestock) was built collaboratively within a network of experts in the livestock health field, in order to describe production diseases. Its structure is based on the type of disease: communicable, non communicable, genetic, metabolic, physical or psychological. The properties of each disease are related to associated symptoms (the expression of a phenotypical character), the affected organism (livestock, poultry, mammals, fishes) or the one causing the disease (virus, bacteria, fungus, parasite).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Fisheries Science","Animal Husbandry"],"domains":["Phenotype","Disease"],"taxonomies":["Vertebrata"],"user_defined_tags":["Livestock"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":646,"relation":"undefined"}],"grants":[{"id":7510,"fairsharing_record_id":1467,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:40.218Z","updated_at":"2021-09-30T09:28:40.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1468","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-06T10:23:27.358Z","metadata":{"doi":"10.25504/FAIRsharing.820ebm","name":"Gene Product Information Format","status":"ready","contacts":[{"contact_name":"Gene Ontology Consortium","contact_email":"go-discuss@geneontology.org"}],"homepage":"http://geneontology.org/docs/gene-product-information-gpi-format/","identifier":1468,"description":"The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats, defined here. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation. GPI and GPAD documents consist of sequences of Unicode characters and are encoded in UTF-8 [RFC 3629].","abbreviation":"GPI"},"legacy_ids":["bsg-000520","bsg-s000520"],"name":"FAIRsharing record for: Gene Product Information Format","abbreviation":"GPI","url":"https://fairsharing.org/10.25504/FAIRsharing.820ebm","doi":"10.25504/FAIRsharing.820ebm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The need for a way to represent genes/gene products separately from annotations, as well as the need to use the evidence ontology has lead to the creation of the GPAD (Gene Product Annotation Data) and GPI (Gene Product Information) formats, defined here. Whilst GPAD and GPI have been defined for use within the Gene Ontology Consortium for GO annotation, this specification is designed to be reusable for analagous ontology-based annotation - for example, gene phenotype annotation. GPI and GPAD documents consist of sequences of Unicode characters and are encoded in UTF-8 [RFC 3629].","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein","Transcript","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7512,"fairsharing_record_id":1468,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:40.266Z","updated_at":"2021-09-30T09:28:40.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9493,"fairsharing_record_id":1468,"organisation_id":1099,"relation":"maintains","created_at":"2022-05-05T13:13:30.959Z","updated_at":"2022-05-05T13:13:30.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":1099,"name":"Gene Ontology Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1469","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2024-03-21T13:59:05.002Z","metadata":{"doi":"10.25504/FAIRsharing.tke3y2","name":"Drug Target Ontology","status":"ready","contacts":[{"contact_name":"Stephan Schurer","contact_email":"sschurer@med.miami.edu"}],"homepage":"http://drugtargetontology.org/","identifier":1469,"description":"Drug Target Ontology (DTO) is developed as a reference for drug targets with the longer-term goal to create a community standard that will facilitate the integration of diverse drug discovery information from numerous heterogeneous resources. The first version of the DTO consists of asserted class hierarchies of the four IDG protein families, GPCRs, kinases, ion channels, and nuclear hormone receptors. Protein classes are linked to tissue and disease via different levels of confidence. DTO also contains drug target development classifications, a large collection of cell lines from the LINCS project and relevant cell-disease and cell-tissue relations. DTO is modeled in OWL2-DL to enable further classification by inference reasoning and SPARQL queries. DTO is implemented following a modularization approach. DTO will serve as the organizational framework for drug targets in the IDG PHAROS User Interface Portal (https://pharos.nih.gov).","abbreviation":"DTO","support_links":[{"url":"http://drugtargetontology.org/contact.html","name":"Contact Form","type":"Contact form"},{"url":"https://youtu.be/fG50WrgiR0Q","name":"Introcuction to DTO in Pharos","type":"Help documentation"},{"url":"https://github.com/DrugTargetOntology/DTO","name":"GitHub repository","type":"Github"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DTO","name":"DTO","portal":"BioPortal"}]},"legacy_ids":["bsg-000955","bsg-s000955"],"name":"FAIRsharing record for: Drug Target Ontology","abbreviation":"DTO","url":"https://fairsharing.org/10.25504/FAIRsharing.tke3y2","doi":"10.25504/FAIRsharing.tke3y2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Drug Target Ontology (DTO) is developed as a reference for drug targets with the longer-term goal to create a community standard that will facilitate the integration of diverse drug discovery information from numerous heterogeneous resources. The first version of the DTO consists of asserted class hierarchies of the four IDG protein families, GPCRs, kinases, ion channels, and nuclear hormone receptors. Protein classes are linked to tissue and disease via different levels of confidence. DTO also contains drug target development classifications, a large collection of cell lines from the LINCS project and relevant cell-disease and cell-tissue relations. DTO is modeled in OWL2-DL to enable further classification by inference reasoning and SPARQL queries. DTO is implemented following a modularization approach. DTO will serve as the organizational framework for drug targets in the IDG PHAROS User Interface Portal (https://pharos.nih.gov).","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11736}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Biomedical Science"],"domains":["Disease","Protein"],"taxonomies":["All"],"user_defined_tags":["Drug Target"],"countries":["United States"],"publications":[{"id":1305,"pubmed_id":29122012,"title":"Drug target ontology to classify and integrate drug discovery data.","year":2017,"url":"http://doi.org/10.1186/s13326-017-0161-x","authors":"Lin Y,Mehta S,Kucuk-McGinty H,Turner JP,Vidovic D,Forlin M,Koleti A,Nguyen DT,Jensen LJ,Guha R,Mathias SL,Ursu O,Stathias V,Duan J,Nabizadeh N,Chung C,Mader C,Visser U,Yang JJ,Bologa CG,Oprea TI,Schurer SC","journal":"J Biomed Semantics","doi":"10.1186/s13326-017-0161-x","created_at":"2021-09-30T08:24:45.765Z","updated_at":"2021-09-30T08:24:45.765Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":861,"relation":"undefined"}],"grants":[{"id":11078,"fairsharing_record_id":1469,"organisation_id":3790,"relation":"maintains","created_at":"2023-11-08T13:09:54.213Z","updated_at":"2023-11-08T13:09:54.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":3790,"name":"University of Miami Institute for Data Science and Computing","types":["Research institute","University"],"is_lead":false,"relation":"maintains"}},{"id":11578,"fairsharing_record_id":1469,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:04.727Z","updated_at":"2024-03-21T13:59:04.951Z","grant_id":865,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54CA189205 (Illuminating the Druggable Genome Knowledge Management Center; Tudor Oprea; PI)","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1470","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2021-11-24T13:19:49.583Z","metadata":{"doi":"10.25504/FAIRsharing.pktgc6","name":"Neuro Behavior Ontology","status":"ready","contacts":[{"contact_name":"George Gkoutos","contact_email":"geg18@aber.ac.uk"}],"homepage":"https://github.com/obo-behavior/behavior-ontology/","citations":[{"doi":"10.1016/B978-0-12-388408-4.00004-6","pubmed_id":23195121,"publication_id":39}],"identifier":1470,"description":"The Neurobehavior Ontology (NBO) consists of two main components, an ontology of behavioral processes and an ontology of behavioral phenotypes. The behavioral process branch of NBO contains a classification of behavior processes complementing and extending GO’s process ontology. The behavior phenotype branch of NBO consists of a classification of both normal and abnormal behavioral characteristics of organisms .","abbreviation":"NBO","support_links":[{"url":"https://github.com/obo-behavior/behavior-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NBO","name":"NBO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/nbo.html","name":"nbo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001077","bsg-s001077"],"name":"FAIRsharing record for: Neuro Behavior Ontology","abbreviation":"NBO","url":"https://fairsharing.org/10.25504/FAIRsharing.pktgc6","doi":"10.25504/FAIRsharing.pktgc6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Neurobehavior Ontology (NBO) consists of two main components, an ontology of behavioral processes and an ontology of behavioral phenotypes. The behavioral process branch of NBO contains a classification of behavior processes complementing and extending GO’s process ontology. The behavior phenotype branch of NBO consists of a classification of both normal and abnormal behavioral characteristics of organisms .","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Social and Behavioural Science","Systemic Neuroscience"],"domains":["Behavior","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":39,"pubmed_id":23195121,"title":"The neurobehavior ontology: an ontology for annotation and integration of behavior and behavioral phenotypes.","year":2012,"url":"http://doi.org/10.1016/B978-0-12-388408-4.00004-6","authors":"Gkoutos GV,Schofield PN,Hoehndorf R","journal":"Int Rev Neurobiol","doi":"10.1016/B978-0-12-388408-4.00004-6","created_at":"2021-09-30T08:22:24.666Z","updated_at":"2021-09-30T08:22:24.666Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1220,"relation":"undefined"}],"grants":[{"id":7515,"fairsharing_record_id":1470,"organisation_id":713,"relation":"maintains","created_at":"2021-09-30T09:28:40.368Z","updated_at":"2021-09-30T09:28:40.368Z","grant_id":null,"is_lead":true,"saved_state":{"id":713,"name":"Department of Genetics, University of Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1471","type":"fairsharing_records","attributes":{"created_at":"2020-06-20T13:07:55.000Z","updated_at":"2022-07-20T13:20:24.051Z","metadata":{"doi":"10.25504/FAIRsharing.bbQbSW","name":"Crossref Metadata Deposit Schema","status":"ready","homepage":"https://www.crossref.org/education/content-registration/crossrefs-metadata-deposit-schema/","identifier":1471,"description":"The Crossref Metadata Deposit Schema is a schema designed to enforce a standardized metadata format on research content stored within Crossref. This schema supports a range of different content types and categories, including descriptive (bibliographic), administrative and structural. It follows the ISO/IEC 11179 Metadata Registry (MDR) standard, which specifies a schema for recording both the meaning and technical structure of the data for unambiguous usage by humans and computers.","abbreviation":null,"support_links":[{"url":"https://www.crossref.org/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://www.crossref.org/education/metadata-stewardship/maintaining-your-metadata/","name":"Maintaining your Metadata","type":"Help documentation"},{"url":"https://www.crossref.org/education/content-registration/","name":"How to Register your Metadata","type":"Help documentation"},{"url":"https://www.crossref.org/education/content-registration/crossrefs-metadata-deposit-schema/schema-versions/","name":"Previous Schema Versions","type":"Help documentation"},{"url":"https://www.crossref.org/education/content-registration/crossrefs-metadata-deposit-schema/crossref-xsd-schema-quick-reference/","name":"XSD Quick Reference","type":"Help documentation"},{"url":"https://twitter.com/CrossrefOrg","name":"@CrossrefOrg","type":"Twitter"}],"year_creation":2000},"legacy_ids":["bsg-001498","bsg-s001498"],"name":"FAIRsharing record for: Crossref Metadata Deposit Schema","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bbQbSW","doi":"10.25504/FAIRsharing.bbQbSW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Crossref Metadata Deposit Schema is a schema designed to enforce a standardized metadata format on research content stored within Crossref. This schema supports a range of different content types and categories, including descriptive (bibliographic), administrative and structural. It follows the ISO/IEC 11179 Metadata Registry (MDR) standard, which specifies a schema for recording both the meaning and technical structure of the data for unambiguous usage by humans and computers.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12950},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13341}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management"],"domains":["Citation","Resource metadata","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":7516,"fairsharing_record_id":1471,"organisation_id":620,"relation":"maintains","created_at":"2021-09-30T09:28:40.406Z","updated_at":"2021-09-30T09:28:40.406Z","grant_id":null,"is_lead":true,"saved_state":{"id":620,"name":"CrossRef, Lynnfield, MA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1472","type":"fairsharing_records","attributes":{"created_at":"2020-10-02T13:03:37.000Z","updated_at":"2022-07-20T12:45:47.748Z","metadata":{"doi":"10.25504/FAIRsharing.8DCv6L","name":"Cross-Linguistic Data Formats","status":"ready","contacts":[{"contact_name":"Robert Forkel","contact_email":"forkel@shh.mpg.de","contact_orcid":"0000-0003-1081-086X"}],"homepage":"https://cldf.clld.org","citations":[{"doi":"10.1038/sdata.2018.205","pubmed_id":30325347,"publication_id":3046}],"identifier":1472,"description":"Cross-Linguistic Data Formats (CLDF) is a format for exchanging cross-linguistic data. CLDF provides modular specifications for common data types in language typology and historical linguistics, which are based on a shared data model and a formal ontology. The main type of cross-linguistic data relevant to this format is tabular data that is typically analysed using quantitative (automated) methods or made accessible using software tools like the `clld` framework, such as wordlists, structure datasets and simple dictionaries. Each CLDF dataset is described by a JSON metadata file according to Model for Tabular Data and Metadata on the Web (CSVW) tabular metadata specification.","abbreviation":"CLDF","support_links":[{"url":"https://github.com/cldf/cldf","name":"GitHub Project","type":"Github"},{"url":"https://cldf.clld.org/examples.html","name":"Examples","type":"Help documentation"}],"year_creation":2018,"associated_tools":[{"url":"https://github.com/cldf/pycldf","name":"pycldf"}]},"legacy_ids":["bsg-001529","bsg-s001529"],"name":"FAIRsharing record for: Cross-Linguistic Data Formats","abbreviation":"CLDF","url":"https://fairsharing.org/10.25504/FAIRsharing.8DCv6L","doi":"10.25504/FAIRsharing.8DCv6L","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cross-Linguistic Data Formats (CLDF) is a format for exchanging cross-linguistic data. CLDF provides modular specifications for common data types in language typology and historical linguistics, which are based on a shared data model and a formal ontology. The main type of cross-linguistic data relevant to this format is tabular data that is typically analysed using quantitative (automated) methods or made accessible using software tools like the `clld` framework, such as wordlists, structure datasets and simple dictionaries. Each CLDF dataset is described by a JSON metadata file according to Model for Tabular Data and Metadata on the Web (CSVW) tabular metadata specification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Linguistics","Historical Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3046,"pubmed_id":30325347,"title":"Cross-Linguistic Data Formats, advancing data sharing and re-use in comparative linguistics.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.205","authors":"Forkel R,List JM,Greenhill SJ,Rzymski C,Bank S,Cysouw M,Hammarstrom H,Haspelmath M,Kaiping GA,Gray RD","journal":"Sci Data","doi":"10.1038/sdata.2018.205","created_at":"2021-09-30T08:28:15.391Z","updated_at":"2021-09-30T08:28:15.391Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1883,"relation":"undefined"}],"grants":[{"id":7517,"fairsharing_record_id":1472,"organisation_id":1781,"relation":"maintains","created_at":"2021-09-30T09:28:40.445Z","updated_at":"2021-09-30T09:28:40.445Z","grant_id":null,"is_lead":true,"saved_state":{"id":1781,"name":"Max Planck Institue for Evolutionary Anthropology, Leipzig, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1473","type":"fairsharing_records","attributes":{"created_at":"2020-10-13T08:29:20.000Z","updated_at":"2021-11-24T13:18:14.772Z","metadata":{"doi":"10.25504/FAIRsharing.xvfqAC","name":"Open Databases Integration for Materials Design","status":"ready","contacts":[{"contact_name":"Gian-Marco Rignanese","contact_email":"gian-marco.rignanese@uclouvain.be","contact_orcid":"0000-0002-1422-1205"}],"homepage":"https://www.optimade.org","identifier":1473,"description":"Designing new materials suitable for specific applications is a long, complex, and costly process. Researchers think of new ideas based on intuition and experience. Their synthesis and evaluation require a tremendous amount of trial and error. In the last few years, there has been a major game change in materials design. Thanks to the exponential growth of computer power and the development of robust first-principles electronic structure codes, it has become possible to perform large sets of calculations automatically. This is the burgeoning area of high-throughput ab initio computation. Such calculations have been used to create large databases containing the calculated properties of existing and hypothetical materials, many of which have appeared online: - the AFLOW distributed materials property repository - the Harvard Clean Energy Project Database - the Materials Cloud - the Materials Project - the NoMaD (Novel Materials Discovery) Repository - the Open Quantum Materials Database - the Computational Materials Repository - the Data Catalyst Genome - the Materials Platform for Data Science - the Joint Automated Repository for Various Integrated Simulations … The Open Databases Integration for Materials Design (OPTIMADE) consortium aims to make materials databases interoperational by developing a common REST API.","abbreviation":"OPTIMADE","support_links":[{"url":"https://matsci.org/c/optimade/29","name":"OPTIMADE forum on MATSCI","type":"Forum"},{"url":"https://github.com/Materials-Consortia/OPTIMADE/blob/master/optimade.rst","name":"OPTIMADE API specification v1.0.0","type":"Github"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/Materials-Consortia/optimade-python-tools","name":"OPTIMADE Python tools 0.12.1"},{"url":"https://github.com/Materials-Consortia/OPTIMADE-Filter","name":"OPTIMADE filter language parser 0.10.0"}]},"legacy_ids":["bsg-001534","bsg-s001534"],"name":"FAIRsharing record for: Open Databases Integration for Materials Design","abbreviation":"OPTIMADE","url":"https://fairsharing.org/10.25504/FAIRsharing.xvfqAC","doi":"10.25504/FAIRsharing.xvfqAC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Designing new materials suitable for specific applications is a long, complex, and costly process. Researchers think of new ideas based on intuition and experience. Their synthesis and evaluation require a tremendous amount of trial and error. In the last few years, there has been a major game change in materials design. Thanks to the exponential growth of computer power and the development of robust first-principles electronic structure codes, it has become possible to perform large sets of calculations automatically. This is the burgeoning area of high-throughput ab initio computation. Such calculations have been used to create large databases containing the calculated properties of existing and hypothetical materials, many of which have appeared online: - the AFLOW distributed materials property repository - the Harvard Clean Energy Project Database - the Materials Cloud - the Materials Project - the NoMaD (Novel Materials Discovery) Repository - the Open Quantum Materials Database - the Computational Materials Repository - the Data Catalyst Genome - the Materials Platform for Data Science - the Joint Automated Repository for Various Integrated Simulations … The Open Databases Integration for Materials Design (OPTIMADE) consortium aims to make materials databases interoperational by developing a common REST API.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Materials Research","Materials Informatics","Materials Engineering","Solid-State Chemistry","Materials Science","Condensed Matter Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["APIstandard","Computational Materials Science"],"countries":["Belgium","Germany","Lithuania","Sweden","Switzerland","United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1474","type":"fairsharing_records","attributes":{"created_at":"2020-09-16T11:08:31.000Z","updated_at":"2022-07-20T12:37:04.224Z","metadata":{"doi":"10.25504/FAIRsharing.rSuIcM","name":"National Aeronautics and Space Administration Ames Format for Data Exchange","status":"ready","contacts":[{"contact_name":"NASA Earth Science Project Office","contact_email":"ames-format@espo.nasa.gov"}],"homepage":"https://espoarchive.nasa.gov/content/Ames_Format_Overview","identifier":1474,"description":"The National Aeronautics and Space Administration Ames Format for Data Exchange (NASA Ames Format) is composed of ASCII data files that are written in one of nine \"standard\" file formats. The ASCII data file formats were developed at Ames Research Center by R. Stephen Hipskind and Steven E. Gaines in 1990 to standardize the file formats used for in-the-field data exchange during aircraft field experiments. Each ASCII data file consists of a file header, followed by the data records. The file header describes the data and the origin of the file. The data are conceptually divided into Independent Variables and Dependent Variables. The Dependent Variables are further divided into Primary and Auxiliary Variables.","abbreviation":"NASA Ames Format","support_links":[{"url":"https://espoarchive.nasa.gov/content/File_Name_Overview","name":"File Name Overview","type":"Help documentation"},{"url":"https://espoarchive.nasa.gov/archive/help/icartt_format","name":"ICARTT vs Ames formats","type":"Help documentation"}],"year_creation":1990},"legacy_ids":["bsg-001524","bsg-s001524"],"name":"FAIRsharing record for: National Aeronautics and Space Administration Ames Format for Data Exchange","abbreviation":"NASA Ames Format","url":"https://fairsharing.org/10.25504/FAIRsharing.rSuIcM","doi":"10.25504/FAIRsharing.rSuIcM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Aeronautics and Space Administration Ames Format for Data Exchange (NASA Ames Format) is composed of ASCII data files that are written in one of nine \"standard\" file formats. The ASCII data file formats were developed at Ames Research Center by R. Stephen Hipskind and Steven E. Gaines in 1990 to standardize the file formats used for in-the-field data exchange during aircraft field experiments. Each ASCII data file consists of a file header, followed by the data records. The file header describes the data and the origin of the file. The data are conceptually divided into Independent Variables and Dependent Variables. The Dependent Variables are further divided into Primary and Auxiliary Variables.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geophysics","Earth Science","Remote Sensing"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7518,"fairsharing_record_id":1474,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:40.477Z","updated_at":"2021-09-30T09:28:40.477Z","grant_id":null,"is_lead":true,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1475","type":"fairsharing_records","attributes":{"created_at":"2020-09-11T13:02:52.000Z","updated_at":"2022-07-20T12:25:43.476Z","metadata":{"doi":"10.25504/FAIRsharing.7ti9My","name":"BACPAC Biobehavioral Research Psychosocial Questionnaires and QST Recommendations","status":"ready","contacts":[{"contact_name":"Anna Hoffmeyer","contact_email":"bacpac_dac@unc.edu"}],"homepage":"https://heal.nih.gov/research/clinical-research/back-pain","identifier":1475,"description":"This document includes recommendations for the following domains: Psychosocial Recommendations, Social Adversity and Support, Other Optional Domains, Quantitative Sensory Testing Recommendations.","abbreviation":null,"support_links":[{"url":"BACPAC-NIH@mail.nih.gov","name":"BACPAC Contact","type":"Support email"}],"year_creation":2020},"legacy_ids":["bsg-001521","bsg-s001521"],"name":"FAIRsharing record for: BACPAC Biobehavioral Research Psychosocial Questionnaires and QST Recommendations","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7ti9My","doi":"10.25504/FAIRsharing.7ti9My","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document includes recommendations for the following domains: Psychosocial Recommendations, Social Adversity and Support, Other Optional Domains, Quantitative Sensory Testing Recommendations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Behavioural Biology","Pain Medicine"],"domains":["Behavior","Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7519,"fairsharing_record_id":1475,"organisation_id":650,"relation":"maintains","created_at":"2021-09-30T09:28:40.514Z","updated_at":"2021-09-30T09:28:40.514Z","grant_id":null,"is_lead":false,"saved_state":{"id":650,"name":"Data Integration, Algorithm Development and Operations Management Center (DAC) for BACPAC, UNC Chapel Hill, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7520,"fairsharing_record_id":1475,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:40.563Z","updated_at":"2021-09-30T09:28:40.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1476","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:35:47.075Z","metadata":{"doi":"10.25504/FAIRsharing.w7kfdn","name":"Cardiac Electrophysiology Ontology","status":"deprecated","contacts":[{"contact_name":"Raimond L. Winslow","contact_email":"rwinslow@jhu.edu","contact_orcid":"0000-0003-1719-1651"}],"homepage":"http://bioportal.bioontology.org/ontologies/1142","citations":[],"identifier":1476,"description":"The Cardiac Electrophysiology Ontology contains terms describing single-channel electrophysiological experiments and data obtained using voltage-clamp, current clamp and fluorescence imaging techniques applied at the cell level and multi-channel fluorescence imaging techniques applied at the cell, tissue and whole heart levels. This tool is part of the Cardiovascular Research Grid project (http://wiki.cvrgrid.org/index.php/Main_Page) which is part funded by the NIH. ","abbreviation":"EP","year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EP","name":"EP","portal":"BioPortal"}],"deprecation_date":"2024-01-25","deprecation_reason":"This ontology does not seem to be actively maintained, and has not been updated since 2008. It has therefore been marked as deprecated. Please contact us if you have any information concerning the current status of this resource."},"legacy_ids":["bsg-002617","bsg-s002617"],"name":"FAIRsharing record for: Cardiac Electrophysiology Ontology","abbreviation":"EP","url":"https://fairsharing.org/10.25504/FAIRsharing.w7kfdn","doi":"10.25504/FAIRsharing.w7kfdn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cardiac Electrophysiology Ontology contains terms describing single-channel electrophysiological experiments and data obtained using voltage-clamp, current clamp and fluorescence imaging techniques applied at the cell level and multi-channel fluorescence imaging techniques applied at the cell, tissue and whole heart levels. This tool is part of the Cardiovascular Research Grid project (http://wiki.cvrgrid.org/index.php/Main_Page) which is part funded by the NIH. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Electrophysiology"],"domains":["Experimental measurement","Protocol","Study design","Experimentally determined","Cardiovascular disease","Electrocardiography"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","United States"],"publications":[],"licence_links":[],"grants":[{"id":7522,"fairsharing_record_id":1476,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:40.617Z","updated_at":"2021-09-30T09:28:40.617Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9144,"fairsharing_record_id":1476,"organisation_id":1603,"relation":"maintains","created_at":"2022-04-11T12:07:17.330Z","updated_at":"2022-04-11T12:07:17.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":1603,"name":"Johns Hopkins University, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1478","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:08.639Z","metadata":{"doi":"10.25504/FAIRsharing.q9nh66","name":"ENA Sequence Flat File Format","status":"ready","contacts":[{"contact_name":"EBI Helpdesk","contact_email":"support@ebi.ac.uk"}],"homepage":"https://ena-docs.readthedocs.io/en/latest/submit/fileprep/flat-file-example.html","identifier":1478,"description":"ENA Sequence Flat File Format is a standardised plain text format for nucleotide sequences. This format was previously called the EMBL Sequence Flat File Format.","abbreviation":null,"support_links":[{"url":"https://www.ebi.ac.uk/ena/submit/flat-file","name":"Flat File Example","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ena/WebFeat/","name":"Flat File Features and Qualifiers","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ena/submit/sequence-format","name":"Assembled and Annotated Sequences","type":"Help documentation"}],"year_creation":1980},"legacy_ids":["bsg-000226","bsg-s000226"],"name":"FAIRsharing record for: ENA Sequence Flat File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.q9nh66","doi":"10.25504/FAIRsharing.q9nh66","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ENA Sequence Flat File Format is a standardised plain text format for nucleotide sequences. This format was previously called the EMBL Sequence Flat File Format.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12439}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Genetics"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2327,"relation":"undefined"}],"grants":[{"id":7526,"fairsharing_record_id":1478,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:40.760Z","updated_at":"2021-09-30T09:28:40.760Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1479","type":"fairsharing_records","attributes":{"created_at":"2021-01-31T20:37:00.000Z","updated_at":"2022-07-20T09:37:36.303Z","metadata":{"doi":"10.25504/FAIRsharing.46e1e9","name":"Proteomics Standards Initiative Extended Fasta Format","status":"ready","contacts":[{"contact_name":"Eric Deutsch","contact_email":"edeutsch@systemsbiology.org"}],"homepage":"http://psidev.info/peff","citations":[{"doi":"10.1021/acs.jproteome.9b00064","pubmed_id":31081335,"publication_id":116}],"identifier":1479,"description":"The PSI Extended Fasta Format (PEFF) is a unified format for protein and nucleotide sequence databases to be used by sequence search engines and other associated tools (spectra library search tools, sequence alignment software, data repositories, etc). This format enables consistent extraction, display and processing of information such as protein/nucleotide sequence database entry identifier, description, taxonomy, etc. across software platforms. It also allows the representation of structural annotations such as post-translational modifications, mutations and other processing events. The proposed format has the form of a plain text file that extends the formalism of the individual sequence entries as presented in the FASTA format and that includes a header of meta data to describe relevant information about the database(s) from which the sequences have been obtained.","abbreviation":"PEFF","support_links":[{"url":"https://github.com/HUPO-PSI/PEFF","name":"GitHub Project","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"http://psidev.info/peff","name":"Tools Consuming PEFF"}]},"legacy_ids":["bsg-001588","bsg-s001588"],"name":"FAIRsharing record for: Proteomics Standards Initiative Extended Fasta Format","abbreviation":"PEFF","url":"https://fairsharing.org/10.25504/FAIRsharing.46e1e9","doi":"10.25504/FAIRsharing.46e1e9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PSI Extended Fasta Format (PEFF) is a unified format for protein and nucleotide sequence databases to be used by sequence search engines and other associated tools (spectra library search tools, sequence alignment software, data repositories, etc). This format enables consistent extraction, display and processing of information such as protein/nucleotide sequence database entry identifier, description, taxonomy, etc. across software platforms. It also allows the representation of structural annotations such as post-translational modifications, mutations and other processing events. The proposed format has the form of a plain text file that extends the formalism of the individual sequence entries as presented in the FASTA format and that includes a header of meta data to describe relevant information about the database(s) from which the sequences have been obtained.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12136}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Proteogenomics"],"domains":["Nuclear Magnetic Resonance (NMR) spectroscopy","Mass spectrometry assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":116,"pubmed_id":31081335,"title":"Proteomics Standards Initiative Extended FASTA Format.","year":2019,"url":"http://doi.org/10.1021/acs.jproteome.9b00064","authors":"Binz PA,Shofstahl J,Vizcaino JA,Barsnes H,Chalkley RJ,Menschaert G,Alpi E,Clauser K,Eng JK,Lane L,Seymour SL,Sanchez LFH,Mayer G,Eisenacher M,Perez-Riverol Y,Kapp EA,Mendoza L,Baker PR,Collins A,Van Den Bossche T,Deutsch EW","journal":"J Proteome Res","doi":"10.1021/acs.jproteome.9b00064","created_at":"2021-09-30T08:22:32.855Z","updated_at":"2021-09-30T08:22:32.855Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1557,"relation":"undefined"}],"grants":[{"id":7527,"fairsharing_record_id":1479,"organisation_id":1290,"relation":"maintains","created_at":"2021-09-30T09:28:40.784Z","updated_at":"2021-09-30T09:28:40.784Z","grant_id":null,"is_lead":true,"saved_state":{"id":1290,"name":"HUPO-PSI initiative; Proteomics informatics working group","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1480","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-06T11:33:32.342Z","metadata":{"doi":"10.25504/FAIRsharing.hxvt6c","name":"MDL Molfile Format","status":"ready","contacts":[],"homepage":"https://discover.3ds.com/ctfile-documentation-request-form","citations":[],"identifier":1480,"description":"An MDL Molfile is a file format for holding information about the atoms, bonds, connectivity and coordinates of a molecule. The molfile consists of some header information, the Connection Table (CT) containing atom info, then bond connections and types, followed by sections for more complex information. The molfile is sufficiently common that most, if not all, cheminformatics software systems/applications are able to read the format, though not always to the same degree. It is also supported by some computational software such as Mathematica. The current de facto standard version is molfile V2000, although, more recently, the V3000 format has been circulating widely enough to present a potential compatibility issue for those applications that are not yet V3000-capable. Please note that this format is only available after registration on the Dassault Systems website.","abbreviation":null,"support_links":[{"url":"https://en.wikipedia.org/wiki/Chemical_table_file","name":"Wikipedia entry (incl attribution for description)","type":"Wikipedia"}],"year_creation":1992},"legacy_ids":["bsg-000247","bsg-s000247"],"name":"FAIRsharing record for: MDL Molfile Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.hxvt6c","doi":"10.25504/FAIRsharing.hxvt6c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An MDL Molfile is a file format for holding information about the atoms, bonds, connectivity and coordinates of a molecule. The molfile consists of some header information, the Connection Table (CT) containing atom info, then bond connections and types, followed by sections for more complex information. The molfile is sufficiently common that most, if not all, cheminformatics software systems/applications are able to read the format, though not always to the same degree. It is also supported by some computational software such as Mathematica. The current de facto standard version is molfile V2000, although, more recently, the V3000 format has been circulating widely enough to present a potential compatibility issue for those applications that are not yet V3000-capable. Please note that this format is only available after registration on the Dassault Systems website.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10853},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11714},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11983}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity","X-ray crystallography assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1707,"pubmed_id":null,"title":"Description of several chemical-structure file formats used by computer-programs developed at Molecular Design Limited","year":1992,"url":"http://doi.org/10.1021/ci00007a012","authors":"Dalby A, Nourse JG, Hounshell WD, Gushurst Aki, Grier DL, Leland BA, Laufer J","journal":"Journal of Chemical Information and Computer Sciences","doi":"10.1021/ci00007a012","created_at":"2021-09-30T08:25:31.287Z","updated_at":"2021-09-30T08:25:31.287Z"}],"licence_links":[],"grants":[{"id":7528,"fairsharing_record_id":1480,"organisation_id":5,"relation":"maintains","created_at":"2021-09-30T09:28:40.809Z","updated_at":"2024-02-06T11:31:22.457Z","grant_id":null,"is_lead":true,"saved_state":{"id":5,"name":"3DS Dassault Systemes","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1481","type":"fairsharing_records","attributes":{"created_at":"2021-02-01T16:09:12.000Z","updated_at":"2023-09-29T11:55:03.040Z","metadata":{"doi":"10.25504/FAIRsharing.7407ba","name":"ISO 20387:2018 Biotechnology — Biobanking — General requirements for biobanking","status":"ready","contacts":[{"contact_name":"Mrs. Dipl.-Ing Lena Krieger","contact_email":"lena.krieger@din.de"}],"homepage":"https://www.iso.org/standard/67888.html","citations":[],"identifier":1481,"description":"This document specifies general requirements for the competence, impartiality and consistent operation of biobanks including quality control requirements to ensure biological material and data collections of appropriate quality. ISO 20387:2018 is applicable to all organizations performing biobanking, including biobanking of biological material from multicellular organisms (e.g. human, animal, fungus and plant) and microorganisms for research and development. Biobank users, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others can also use this document in confirming or recognizing the competence of biobanks. This document does not apply to biological material intended for food/feed production, laboratories undertaking analysis for food/feed production, and/or therapeutic use.","abbreviation":"ISO 20387:2018","year_creation":2018},"legacy_ids":["bsg-001592","bsg-s001592"],"name":"FAIRsharing record for: ISO 20387:2018 Biotechnology — Biobanking — General requirements for biobanking","abbreviation":"ISO 20387:2018","url":"https://fairsharing.org/10.25504/FAIRsharing.7407ba","doi":"10.25504/FAIRsharing.7407ba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document specifies general requirements for the competence, impartiality and consistent operation of biobanks including quality control requirements to ensure biological material and data collections of appropriate quality. ISO 20387:2018 is applicable to all organizations performing biobanking, including biobanking of biological material from multicellular organisms (e.g. human, animal, fungus and plant) and microorganisms for research and development. Biobank users, regulatory authorities, organizations and schemes using peer-assessment, accreditation bodies, and others can also use this document in confirming or recognizing the competence of biobanks. This document does not apply to biological material intended for food/feed production, laboratories undertaking analysis for food/feed production, and/or therapeutic use.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12140}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Medical Biotechnology","Biotechnology"],"domains":["Biobank","Legal regulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":484,"relation":"undefined"}],"grants":[{"id":7529,"fairsharing_record_id":1481,"organisation_id":2715,"relation":"maintains","created_at":"2021-09-30T09:28:40.836Z","updated_at":"2021-09-30T09:28:40.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":2715,"name":"Technical Committee 276, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10945,"fairsharing_record_id":1481,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:51:24.935Z","updated_at":"2023-09-27T14:51:24.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1482","type":"fairsharing_records","attributes":{"created_at":"2020-08-05T10:40:47.000Z","updated_at":"2024-01-28T15:57:37.539Z","metadata":{"doi":"10.25504/FAIRsharing.S6BoUk","name":"w3id.org","status":"ready","contacts":[{"contact_name":"W3C Permanent Identifier Community Group","contact_email":"public-perma-id@w3.org"}],"homepage":"https://w3id.org/","citations":[],"identifier":1482,"description":"A secure, permanent URL re-direction service for Web applications run by the W3C Permanent Identifier Community Group. Web applications that deal with Linked Data often need to specify and use URLs that are very stable. They utilize services such as this one to ensure that applications using their URLs will always be re-directed to a working website. This website operates like a switchboard, connecting requests for information with the true location of the information on the Web. The switchboard can be reconfigured to point to a new location if the old location stops working.","abbreviation":"w3id","support_links":[{"url":"http://lists.w3.org/Archives/Public/public-perma-id/","name":"Public mailing list for the Permanent Identifier Community Group","type":"Mailing list"},{"url":"https://github.com/perma-id","name":"GitHub Project","type":"Github"},{"url":"https://www.w3.org/community/perma-id/","name":"W3C Permanent Identifier Community Group","type":"Help documentation"},{"url":"https://www.w3.org/community/perma-id/wiki/","name":"W3C Permanent Identifier Community Group Wiki","type":"Help documentation"},{"url":"https://www.w3.org/community/perma-id/wiki/","name":"Community Wiki","type":"Wikipedia"}],"year_creation":2013,"regular_expression":"^(https):\\/\\/w3id\\.org\\/[^ \"]+$ "},"legacy_ids":["bsg-001516","bsg-s001516"],"name":"FAIRsharing record for: w3id.org","abbreviation":"w3id","url":"https://fairsharing.org/10.25504/FAIRsharing.S6BoUk","doi":"10.25504/FAIRsharing.S6BoUk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A secure, permanent URL re-direction service for Web applications run by the W3C Permanent Identifier Community Group. Web applications that deal with Linked Data often need to specify and use URLs that are very stable. They utilize services such as this one to ensure that applications using their URLs will always be re-directed to a working website. This website operates like a switchboard, connecting requests for information with the true location of the information on the Web. The switchboard can be reconfigured to point to a new location if the old location stops working.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17386}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems"],"domains":["Resource metadata","Centrally registered identifier","Web service"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7530,"fairsharing_record_id":1482,"organisation_id":3204,"relation":"maintains","created_at":"2021-09-30T09:28:40.869Z","updated_at":"2021-09-30T09:28:40.869Z","grant_id":null,"is_lead":true,"saved_state":{"id":3204,"name":"W3C Permanent Identifier Community Group","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1483","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:55.004Z","metadata":{"doi":"10.25504/FAIRsharing.wvpgwn","name":"Evidence and Conclusion Ontology","status":"ready","contacts":[{"contact_name":"Marcos Chibucos","contact_email":"mchibucos@som.umaryland.edu","contact_orcid":"0000-0001-9586-0780"}],"homepage":"https://evidenceontology.org/","citations":[{"doi":"10.1093/nar/gky1036","pubmed_id":30407590,"publication_id":964}],"identifier":1483,"description":"The Evidence and Conclusion Ontology (ECO) contains terms that describe types of evidence and assertion methods. ECO terms are used in the process of biocuration to capture the evidence that supports biological assertions (e.g. gene product X has function Y as supported by evidence Z). Capture of this information allows tracking of annotation provenance, establishment of quality control measures, and query of eviden","abbreviation":"ECO","support_links":[{"url":"https://github.com/evidenceontology/evidenceontology/wiki","name":"Wiki","type":"Github"},{"url":"http://obofoundry.github.io/ontology/eco.html","name":"OBO Information","type":"Github"},{"url":"https://evidenceontology.org/docs/","name":"Resources","type":"Help documentation"},{"url":"https://github.com/evidenceontology/evidenceontology","name":"GitHub Project","type":"Github"}],"year_creation":2000,"associated_tools":[{"url":"https://github.com/evidenceontology/evidenceontology/issues","name":"term tracker"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ECO","name":"ECO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/eco.html","name":"eco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000085","bsg-s000085"],"name":"FAIRsharing record for: Evidence and Conclusion Ontology","abbreviation":"ECO","url":"https://fairsharing.org/10.25504/FAIRsharing.wvpgwn","doi":"10.25504/FAIRsharing.wvpgwn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Evidence and Conclusion Ontology (ECO) contains terms that describe types of evidence and assertion methods. ECO terms are used in the process of biocuration to capture the evidence that supports biological assertions (e.g. gene product X has function Y as supported by evidence Z). Capture of this information allows tracking of annotation provenance, establishment of quality control measures, and query of eviden","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11140},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11926},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16970}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Biology","Life Science"],"domains":["Evidence","Resource metadata","Biological sample annotation","Text mining","Assay","Curated information","Digital curation","Study design","Literature curation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":797,"pubmed_id":14992503,"title":"An evidence ontology for use in pathway/genome databases.","year":2004,"url":"http://doi.org/10.1142/9789812704856_0019","authors":"Karp PD,Paley S,Krieger CJ,Zhang P","journal":"Pac Symp Biocomput","doi":"10.1142/9789812704856_0019","created_at":"2021-09-30T08:23:47.878Z","updated_at":"2021-09-30T08:23:47.878Z"},{"id":964,"pubmed_id":30407590,"title":"ECO, the Evidence \u0026 Conclusion Ontology: community standard for evidence information.","year":2018,"url":"http://doi.org/10.1093/nar/gky1036","authors":"Giglio M,Tauber R,Nadendla S,Munro J,Olley D,Ball S,Mitraka E,Schriml LM,Gaudet P,Hobbs ET,Erill I,Siegele DA,Hu JC,Mungall C,Chibucos MC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1036","created_at":"2021-09-30T08:24:06.686Z","updated_at":"2021-09-30T11:28:56.350Z"},{"id":2320,"pubmed_id":27812948,"title":"The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-3743-1_18","authors":"Chibucos MC,Siegele DA,Hu JC,Giglio M","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-3743-1_18","created_at":"2021-09-30T08:26:44.711Z","updated_at":"2021-09-30T08:26:44.711Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":33,"relation":"undefined"}],"grants":[{"id":7532,"fairsharing_record_id":1483,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:40.945Z","updated_at":"2021-09-30T09:29:46.219Z","grant_id":394,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458400","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7531,"fairsharing_record_id":1483,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:28:40.907Z","updated_at":"2021-09-30T09:29:00.218Z","grant_id":49,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41-HG002223","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7933,"fairsharing_record_id":1483,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:55.260Z","updated_at":"2021-09-30T09:29:55.314Z","grant_id":469,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM089636","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7533,"fairsharing_record_id":1483,"organisation_id":1381,"relation":"maintains","created_at":"2021-09-30T09:28:40.981Z","updated_at":"2021-09-30T09:28:40.981Z","grant_id":null,"is_lead":true,"saved_state":{"id":1381,"name":"Institute for Genome Sciences, University of Maryland, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7535,"fairsharing_record_id":1483,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:41.062Z","updated_at":"2021-09-30T09:28:55.143Z","grant_id":15,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U41HG008735","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7534,"fairsharing_record_id":1483,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:28:41.023Z","updated_at":"2021-09-30T09:30:35.254Z","grant_id":776,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-AC02-05CH11231","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8135,"fairsharing_record_id":1483,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:31:08.389Z","updated_at":"2021-09-30T09:31:08.447Z","grant_id":1035,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R01-HG02729- 01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1484","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-06-30T13:26:37.856Z","metadata":{"doi":"10.25504/FAIRsharing.9rhr9j","name":"Eukaryotic Pathogen, Host \u0026 Vector Genomics Resource Ontology","status":"ready","contacts":[{"contact_name":"Jie Zheng","contact_email":"jiezheng@pennmedicine.upenn.edu"},{"contact_name":"Chris Stoeckert","contact_email":"stoeckrt@pennmedicine.upenn.edu","contact_orcid":null}],"homepage":"https://github.com/VEuPathDB-ontology/VEuPathDB-ontology","citations":[],"identifier":1484,"description":"The VEuPathDB ontology is an application ontology developed to encode our understanding of what data is about in the public resources developed and maintained by the Eukaryotic Pathogen, Host and Vector Genomics Resource. The ontology was built based on the Ontology of Biomedical Investigations (OBI) with integration of other OBO ontologies such as PATO, OGMS, DO, etc. as needed for coverage. Currently the VEuPath ontology is primarily intended to be used for support of the VEuPathDB sites. Terms with VEuPathDB ontology IDs that are not specific to VEuPathDB will be submitted to OBO Foundry ontologies for subsequent import and replacement of those terms when they are available.","abbreviation":"VEuPathDB Ontology","support_links":[{"url":"https://github.com/VEuPathDB-ontology/VEuPathDB-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/eupath","name":"VEuPathDB Ontology in OLS","portal":"OLS"},{"url":"https://obofoundry.org/ontology/eupath.html","name":"OBO Foundry Record","portal":"OBO Foundry"},{"url":"https://bioportal.bioontology.org/ontologies/EUPATH","name":"BioPortal Record","portal":"BioPortal"}]},"legacy_ids":["bsg-000974","bsg-s000974"],"name":"FAIRsharing record for: Eukaryotic Pathogen, Host \u0026 Vector Genomics Resource Ontology","abbreviation":"VEuPathDB Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.9rhr9j","doi":"10.25504/FAIRsharing.9rhr9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VEuPathDB ontology is an application ontology developed to encode our understanding of what data is about in the public resources developed and maintained by the Eukaryotic Pathogen, Host and Vector Genomics Resource. The ontology was built based on the Ontology of Biomedical Investigations (OBI) with integration of other OBO ontologies such as PATO, OGMS, DO, etc. as needed for coverage. Currently the VEuPath ontology is primarily intended to be used for support of the VEuPathDB sites. Terms with VEuPathDB ontology IDs that are not specific to VEuPathDB will be submitted to OBO Foundry ontologies for subsequent import and replacement of those terms when they are available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Biomedical Science","Epidemiology","Population Genetics"],"domains":["Microbiome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2562,"relation":"applies_to_content"}],"grants":[{"id":8717,"fairsharing_record_id":1484,"organisation_id":3113,"relation":"maintains","created_at":"2022-01-08T10:38:56.343Z","updated_at":"2022-01-08T10:38:56.343Z","grant_id":null,"is_lead":true,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1485","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:26.773Z","metadata":{"doi":"10.25504/FAIRsharing.x39h5y","name":"Experimental Conditions Ontology","status":"ready","contacts":[{"contact_name":"Mary Shimoyama","contact_email":"shimoyama@mcw.edu","contact_orcid":"0000-0003-1176-0796"}],"homepage":"https://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=XCO:0000000","identifier":1485,"description":"The Experimental Conditions Ontology is designed to represent the conditions under which physiological and morphological measurements are made both in the clinic and in studies involving humans or model organisms.","abbreviation":"XCO","support_links":[{"url":"http://rgd.mcw.edu/contact/index.shtml","name":"Contact Form","type":"Contact form"},{"url":"https://twitter.com/ratgenome","name":"@ratgenome","type":"Twitter"}],"year_creation":2011,"associated_tools":[{"url":"https://rgd.mcw.edu/rgdweb/ontology/search.html","name":"RGD Ontology Search"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/XCO","name":"XCO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/xco.html","name":"xco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002715","bsg-s002715"],"name":"FAIRsharing record for: Experimental Conditions Ontology","abbreviation":"XCO","url":"https://fairsharing.org/10.25504/FAIRsharing.x39h5y","doi":"10.25504/FAIRsharing.x39h5y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Experimental Conditions Ontology is designed to represent the conditions under which physiological and morphological measurements are made both in the clinic and in studies involving humans or model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11245},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12024}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Experimental measurement","Assay","Protocol","Study design","Experimentally determined"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[{"id":891,"pubmed_id":22654893,"title":"Three ontologies to define phenotype measurement data.","year":2012,"url":"http://doi.org/10.3389/fgene.2012.00087","authors":"Shimoyama M,Nigam R,McIntosh LS,Nagarajan R,Rice T,Rao DC,Dwinell MR","journal":"Front Genet","doi":"10.3389/fgene.2012.00087","created_at":"2021-09-30T08:23:58.429Z","updated_at":"2021-09-30T08:23:58.429Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1088,"relation":"undefined"}],"grants":[{"id":7536,"fairsharing_record_id":1485,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:41.095Z","updated_at":"2021-09-30T09:28:41.095Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7538,"fairsharing_record_id":1485,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:28:41.169Z","updated_at":"2021-09-30T09:28:41.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7539,"fairsharing_record_id":1485,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:41.202Z","updated_at":"2021-09-30T09:29:46.388Z","grant_id":395,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094286","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7955,"fairsharing_record_id":1485,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:03.245Z","updated_at":"2021-09-30T09:30:03.305Z","grant_id":531,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL094271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7988,"fairsharing_record_id":1485,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:15.823Z","updated_at":"2021-09-30T09:30:15.874Z","grant_id":626,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HL064541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9270,"fairsharing_record_id":1485,"organisation_id":2468,"relation":"maintains","created_at":"2022-04-11T12:07:26.763Z","updated_at":"2022-04-11T12:07:26.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":2468,"name":"RS Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1486","type":"fairsharing_records","attributes":{"created_at":"2015-06-29T14:11:53.000Z","updated_at":"2022-05-16T12:34:24.701Z","metadata":{"doi":"10.25504/FAIRsharing.2tpx4v","name":"Global Alliance for Genomics and Health Metadata Model","status":"deprecated","homepage":"https://github.com/ga4gh/schemas","identifier":1486,"description":"The metadata model for GA4GH, an international coalition of both public and private interested parties, formed to enable the sharing of genomic and clinical data.","abbreviation":"GA4GH","support_links":[{"url":"https://github.com/ga4gh/schemas/blob/master/src/main/proto/ga4gh/metadata.proto","name":"Schema file","type":"Github"}],"deprecation_date":"2021-02-07","deprecation_reason":"This resource was retired, together with its larger project, on January 24, 2018"},"legacy_ids":["bsg-000599","bsg-s000599"],"name":"FAIRsharing record for: Global Alliance for Genomics and Health Metadata Model","abbreviation":"GA4GH","url":"https://fairsharing.org/10.25504/FAIRsharing.2tpx4v","doi":"10.25504/FAIRsharing.2tpx4v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The metadata model for GA4GH, an international coalition of both public and private interested parties, formed to enable the sharing of genomic and clinical data.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10998},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11196},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12478}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Anatomy","Genomics","Health Science","Life Science","Biomedical Science"],"domains":["Biological sample annotation","Geographical location","Molecular entity","Cell line","Cell","Sample preparation for assay","Protocol"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Austria","Belgium","Brazil","Bulgaria","Canada","Chile","China","Czech Republic","Denmark","Estonia","Finland","France","Germany","Greece","Hong Kong","Hungary","Iceland","India","Ireland","Israel","Italy","Japan","Latvia","Liechtenstein","Lithuania","Luxembourg","Mexico","Morocco","Netherlands","New Zealand","Norway","Panama","Poland","Portugal","Russia","Singapore","Slovakia","Slovenia","South Africa","South Korea","Spain","Sweden","Switzerland","Taiwan","Turkey","United Arab Emirates","United Kingdom","United States","European Union"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":509,"relation":"undefined"}],"grants":[{"id":9496,"fairsharing_record_id":1486,"organisation_id":116,"relation":"maintains","created_at":"2022-05-05T13:13:31.240Z","updated_at":"2022-05-05T13:13:31.240Z","grant_id":null,"is_lead":true,"saved_state":{"id":116,"name":"Global Alliance for Genomics and Health","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1487","type":"fairsharing_records","attributes":{"created_at":"2021-01-05T14:17:38.000Z","updated_at":"2023-08-02T07:58:42.003Z","metadata":{"doi":"10.25504/FAIRsharing.ec6bec","name":"Scientific Variables Ontology","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"geo.ontology.help@gmail.com"}],"homepage":"https://scientificvariablesontology.org/","citations":[],"identifier":1487,"description":"The Scientific Variables Ontology (SVO) outlines the required and optional components for creating machine-interpretable scientific variable concepts. SVO comprises an upper ontology (SVU) that contains a set of modular conceptual categories and relationships between them, as well as a lower ontology (SVL) that contains instances within each category. SVL can be manually or automatically populated with concepts from a wide range of fields to create custom variables. Originally, SVO was created to express the set of CSDMS standard names in ontology form. The current ontology is designed to be terminology agnostic and can be augmented to include an unlimited number of synonymous terms. SVO is designed to balance a linguistic model of the world with a scientific model. SVO attempts to provide a template for retrieving information about a variable from free-form text. One of the primary goals of SVO is to work towards automated ontology generation of scientific variables following ideas laid out in an upper ontology of higher level concepts.","abbreviation":"SVO","support_links":[{"url":"maria.stoica@colorado.edu","name":"Maria Stoica","type":"Support email"},{"url":"https://scientificvariablesontology.org/new_site/documentation.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://scientificvariablesontology.org/new_site/documentation.html","name":"Documentation (Current)","type":"Help documentation"},{"url":"https://scientificvariablesontology.org/new_site/tutorial_create_variable_manually.html","name":"Tutorial","type":"Training documentation"},{"url":"https://scientificvariablesontology.org/","name":"Old version of the website","type":"Other"}],"year_creation":2019,"associated_tools":[{"url":"https://github.com/mariutzica/SVO_website","name":"Github repository"}]},"legacy_ids":["bsg-001559","bsg-s001559"],"name":"FAIRsharing record for: Scientific Variables Ontology","abbreviation":"SVO","url":"https://fairsharing.org/10.25504/FAIRsharing.ec6bec","doi":"10.25504/FAIRsharing.ec6bec","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Scientific Variables Ontology (SVO) outlines the required and optional components for creating machine-interpretable scientific variable concepts. SVO comprises an upper ontology (SVU) that contains a set of modular conceptual categories and relationships between them, as well as a lower ontology (SVL) that contains instances within each category. SVL can be manually or automatically populated with concepts from a wide range of fields to create custom variables. Originally, SVO was created to express the set of CSDMS standard names in ontology form. The current ontology is designed to be terminology agnostic and can be augmented to include an unlimited number of synonymous terms. SVO is designed to balance a linguistic model of the world with a scientific model. SVO attempts to provide a template for retrieving information about a variable from free-form text. One of the primary goals of SVO is to work towards automated ontology generation of scientific variables following ideas laid out in an upper ontology of higher level concepts.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Engineering Science","Natural Science"],"domains":["Experimental measurement","Report","Assay","Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"SVO Copyright Certification","licence_id":763,"licence_url":"https://www.copyrighted.com/website/RbKPMeXwqZnxOikK?url=https%3A%2F%2Fgeoscienceontology.org%2Fdocumentation%2Findex.html","link_id":798,"relation":"undefined"}],"grants":[{"id":7541,"fairsharing_record_id":1487,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:28:41.275Z","updated_at":"2021-09-30T09:28:41.275Z","grant_id":null,"is_lead":true,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1488","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-12T16:28:57.305Z","metadata":{"doi":"10.25504/FAIRsharing.284e1z","name":"Ontology for Biomedical Investigations","status":"ready","contacts":[{"contact_name":"Bjoern Peters","contact_email":"bpeters@lji.org","contact_orcid":"0000-0002-8457-6693"}],"homepage":"http://obi-ontology.org/","citations":[{"doi":"10.1371/journal.pone.0154556","pubmed_id":27128319,"publication_id":2400}],"identifier":1488,"description":"The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI fosters clear communication about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more.","abbreviation":"OBI","support_links":[{"url":"http://purl.obolibrary.org/obo/obi/tracker","name":"GitHub Issue Tracker","type":"Forum"},{"url":"obi-users@googlegroups.com","name":"OBI Users Mailing List","type":"Mailing list"},{"url":"https://lists.sourceforge.net/lists/listinfo/obi-devel","name":"OBI Development Mailing List","type":"Mailing list"},{"url":"https://docs.google.com/document/d/1eEutJAG56gncTsWf2sAqHa4a9pQAuCbhsg_kmbF78tw/edit#heading=h.5bzhi4qntq5l","name":"OBI Development Call Agenda","type":"Help documentation"},{"url":"http://obi-ontology.org/page/OBI_term_guidelines","name":"OBI Term Guidelines","type":"Help documentation"},{"url":"https://github.com/obi-ontology/obi/wiki","name":"OBI Wiki","type":"Github"},{"url":"https://github.com/obi-ontology/obi","name":"GitHub Repository","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBI","name":"OBI","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/obi.html","name":"obi","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000070","bsg-s000070"],"name":"FAIRsharing record for: Ontology for Biomedical Investigations","abbreviation":"OBI","url":"https://fairsharing.org/10.25504/FAIRsharing.284e1z","doi":"10.25504/FAIRsharing.284e1z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI fosters clear communication about scientific investigations by defining more than 2500 terms for assays, devices, objectives, and more.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17360},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17564},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10867},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11189},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11261},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11925},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12394},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16987}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Life Science","Biomedical Science"],"domains":["Reagent","Report","Assay","Protocol","Device","Data transformation","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":993,"pubmed_id":23734660,"title":"Query enhancement through the practical application of ontology: the IEDB and OBI.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-S1-S6","authors":"Vita R,Overton JA,Greenbaum JA,Sette A,Peters B","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-S1-S6","created_at":"2021-09-30T08:24:09.921Z","updated_at":"2021-09-30T08:24:09.921Z"},{"id":1680,"pubmed_id":22180825,"title":"Minimum Information about a Genotyping Experiment (MIGEN).","year":2011,"url":"http://doi.org/10.4056/sigs.1994602","authors":"Huang J,Mirel D,Pugh E,Xing C,Robinson PN,Pertsemlidis A,Ding L,Kozlitina J,Maher J,Rios J,Story M,Marthandan N,Scheuermann RH","journal":"Stand Genomic Sci","doi":"10.4056/sigs.1994602","created_at":"2021-09-30T08:25:28.196Z","updated_at":"2021-09-30T08:25:28.196Z"},{"id":2002,"pubmed_id":25632945,"title":"Modeling a microbial community and biodiversity assay with OBO Foundry ontologies: the interoperability gains of a modular approach.","year":2015,"url":"http://doi.org/10.1093/database/bau132","authors":"Rocca-Serra P,Walls R,Parnell J,Gallery R,Zheng J,Sansone SA,Gonzalez-Beltran A","journal":"Database (Oxford)","doi":"10.1093/database/bau132","created_at":"2021-09-30T08:26:05.449Z","updated_at":"2021-09-30T08:26:05.449Z"},{"id":2400,"pubmed_id":27128319,"title":"The Ontology for Biomedical Investigations.","year":2016,"url":"http://doi.org/10.1371/journal.pone.0154556","authors":"Bandrowski A, Brinkman R, Brochhausen M et al","journal":"PLoS One","doi":"10.1371/journal.pone.0154556","created_at":"2021-09-30T08:26:54.661Z","updated_at":"2021-09-30T08:26:54.661Z"},{"id":3026,"pubmed_id":20626927,"title":"Modeling biomedical experimental processes with OBI.","year":2010,"url":"http://doi.org/10.1186/2041-1480-1-S1-S7","authors":"Brinkman RR,Courtot M,Derom D,Fostel JM,He Y,Lord P,Malone J,Parkinson H,Peters B,Rocca-Serra P,Ruttenberg A,Sansone SA,Soldatova LN,Stoeckert CJ Jr,Turner JA,Zheng J","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-1-S1-S7","created_at":"2021-09-30T08:28:12.983Z","updated_at":"2021-09-30T08:28:12.983Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":799,"relation":"undefined"}],"grants":[{"id":7550,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:41.577Z","updated_at":"2021-09-30T09:28:59.917Z","grant_id":47,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201200010C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7549,"fairsharing_record_id":1488,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:41.548Z","updated_at":"2021-09-30T09:30:30.687Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7542,"fairsharing_record_id":1488,"organisation_id":946,"relation":"funds","created_at":"2021-09-30T09:28:41.301Z","updated_at":"2021-09-30T09:30:50.400Z","grant_id":895,"is_lead":false,"saved_state":{"id":946,"name":"European Network of Excellence (ENFIN), Hinxton, Cambridgeshire, UK","grant":"503630","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7899,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:33.927Z","updated_at":"2021-09-30T09:29:33.993Z","grant_id":303,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400030C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7912,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:40.492Z","updated_at":"2021-09-30T09:29:40.563Z","grant_id":354,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01GM093132","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8208,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:32.508Z","updated_at":"2021-09-30T09:31:32.589Z","grant_id":1217,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41 HG003619","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8447,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:40.827Z","updated_at":"2021-09-30T09:32:40.882Z","grant_id":1730,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G000638/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7543,"fairsharing_record_id":1488,"organisation_id":2206,"relation":"maintains","created_at":"2021-09-30T09:28:41.326Z","updated_at":"2021-09-30T09:28:41.326Z","grant_id":null,"is_lead":true,"saved_state":{"id":2206,"name":"OBI consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7544,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:41.356Z","updated_at":"2021-09-30T09:29:38.594Z","grant_id":339,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E025080/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7547,"fairsharing_record_id":1488,"organisation_id":343,"relation":"funds","created_at":"2021-09-30T09:28:41.480Z","updated_at":"2021-09-30T09:29:47.972Z","grant_id":409,"is_lead":false,"saved_state":{"id":343,"name":"California Institute for Regenerative Medicine","grant":"GC1R-06673-B","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7546,"fairsharing_record_id":1488,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:41.440Z","updated_at":"2021-09-30T09:29:58.697Z","grant_id":496,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/K030582/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7545,"fairsharing_record_id":1488,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:28:41.403Z","updated_at":"2021-09-30T09:30:33.472Z","grant_id":763,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"H2020-EU.1.4.1.3 654241","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7548,"fairsharing_record_id":1488,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:41.511Z","updated_at":"2021-09-30T09:29:46.236Z","grant_id":394,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458400","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7976,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:12.002Z","updated_at":"2021-09-30T09:30:12.057Z","grant_id":595,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/C008200/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8016,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:24.098Z","updated_at":"2021-09-30T09:30:24.195Z","grant_id":696,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201400028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8054,"fairsharing_record_id":1488,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:30:40.187Z","updated_at":"2021-09-30T09:30:40.244Z","grant_id":813,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/M015661/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8060,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:42.029Z","updated_at":"2021-09-30T09:30:42.078Z","grant_id":828,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024101/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8107,"fairsharing_record_id":1488,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:00.222Z","updated_at":"2021-09-30T09:31:00.276Z","grant_id":974,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000917/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8116,"fairsharing_record_id":1488,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:02.389Z","updated_at":"2021-09-30T09:31:02.440Z","grant_id":989,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"H2020-EU.3.1 634107","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8125,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:05.522Z","updated_at":"2021-09-30T09:31:05.566Z","grant_id":1012,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U19AI118626","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8204,"fairsharing_record_id":1488,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:30.724Z","updated_at":"2021-09-30T09:31:30.781Z","grant_id":1205,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 DK 072473","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1489","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-10T19:50:41.717Z","metadata":{"doi":"10.25504/FAIRsharing.zk8p4g","name":"Open Microscopy Environment eXtensible Markup Language","status":"ready","contacts":[{"contact_name":"Jason Swedlow","contact_email":"j.r.swedlow@dundee.ac.uk","contact_orcid":"0000-0002-2198-1958"}],"homepage":"https://docs.openmicroscopy.org/ome-model/6.2.2/ome-xml/index.html","citations":[],"identifier":1489,"description":"OME develops open-source software and data format standards for the storage and manipulation of biological microscopy data. It is a joint project between universities, research establishments, industry and the software development community. The purpose of OME-XML is to provide a rich, extensible way to save information concerning microscopy experiments and the images acquired therein. OME-XML as a file format is superseded by OME-TIFF, which is the preferred container format for image data making use of the OME Data Model.","abbreviation":"OME-XML","support_links":[{"url":"http://blog.openmicroscopy.org","name":"Open Microscopy Blog","type":"Blog/News"},{"url":"https://trac.openmicroscopy.org/ome","name":"Issue Tracker","type":"Forum"},{"url":"http://lists.openmicroscopy.org.uk/mailman/listinfo/ome-devel/devel","name":"OME-XML Mailing List","type":"Mailing list"},{"url":"http://www.openmicroscopy.org/site/support/ome-model/specifications/index.html","name":"OME-XML Specification (html)","type":"Help documentation"},{"url":"http://www.openmicroscopy.org/site/support/ome-model/","name":"OME Data Model and File Formats Documentation","type":"Help documentation"}],"year_creation":2005,"associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}]},"legacy_ids":["bsg-000107","bsg-s000107"],"name":"FAIRsharing record for: Open Microscopy Environment eXtensible Markup Language","abbreviation":"OME-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.zk8p4g","doi":"10.25504/FAIRsharing.zk8p4g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OME develops open-source software and data format standards for the storage and manipulation of biological microscopy data. It is a joint project between universities, research establishments, industry and the software development community. The purpose of OME-XML is to provide a rich, extensible way to save information concerning microscopy experiments and the images acquired therein. OME-XML as a file format is superseded by OME-TIFF, which is the preferred container format for image data making use of the OME Data Model.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18247},{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11013},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11186},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14564}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Microbiology","Biology"],"domains":["Experimental measurement","Bioimaging","Cell","Microscopy","Imaging","Image","Protocol","Study design","Experimentally determined","Tissue"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["France","Italy","United Kingdom","United States"],"publications":[{"id":515,"pubmed_id":15892875,"title":"The Open Microscopy Environment (OME) Data Model and XML file: open tools for informatics and quantitative analysis in biological imaging.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-5-r47","authors":"Goldberg IG,Allan C,Burel JM,Creager D,Falconi A,Hochheiser H,Johnston J,Mellen J,Sorger PK,Swedlow JR","journal":"Genome Biol","doi":"10.1186/gb-2005-6-5-r47","created_at":"2021-09-30T08:23:16.210Z","updated_at":"2021-09-30T08:23:16.210Z"},{"id":569,"pubmed_id":20513764,"title":"Metadata matters: access to image data in the real world","year":2010,"url":"http://doi.org/10.1083/jcb.201004104","authors":"Melissa Linkert, Curtis T. Rueden, Chris Allan et al.","journal":"The Journal of Cell Biology","doi":"10.1083/jcb.201004104","created_at":"2021-09-30T08:23:22.218Z","updated_at":"2021-09-30T08:23:22.218Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1418,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1399,"relation":"undefined"}],"grants":[{"id":7552,"fairsharing_record_id":1489,"organisation_id":2261,"relation":"maintains","created_at":"2021-09-30T09:28:41.631Z","updated_at":"2021-09-30T09:28:41.631Z","grant_id":null,"is_lead":false,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7551,"fairsharing_record_id":1489,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:28:41.602Z","updated_at":"2021-09-30T09:31:25.231Z","grant_id":1161,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"095931/Z/11/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7553,"fairsharing_record_id":1489,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:41.674Z","updated_at":"2021-09-30T09:30:51.771Z","grant_id":907,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024233/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8143,"fairsharing_record_id":1489,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:10.795Z","updated_at":"2021-09-30T09:31:10.848Z","grant_id":1051,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G022585/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1490","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:41.000Z","updated_at":"2023-03-22T16:34:26.448Z","metadata":{"doi":"10.25504/FAIRsharing.ts6zgq","name":"NCCN EHR Oncology Categories","status":"ready","contacts":[{"contact_name":"Joan McClure","contact_email":"McClure@nccn.org"}],"homepage":"https://www.nccn.org/","citations":[],"identifier":1490,"description":"The NCCN EHR Oncology Advisory Group was formed to address the high variance in oncology history documentation within EHR systems. Specifically, there is a lack of standardization in the names of oncology history categories across institutions. Moreover, no synonym list or mapping currently exists between the varied category names. Furthermore, oncology history documentation is often inconsistent, incomplete, and not updated appropriately. The NCCN EHR Oncology Advisory Group has established best practices and is working with EHR vendors to implement and enhance tools for documentation of oncology history. This ontology is a result of the work of the group, and provides users with a list of oncology history categories and synonyms. It is our sincere hope that this work can form the basis of improving standardization and interoperability of oncology history documentation within EHR systems.","abbreviation":"NCCNEHR","support_links":[{"url":"Sugalski@nccn.org","name":"Jessica Sugalski","type":"Support email"},{"url":"Lamb@nccn.org","name":"Peter Lamb","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCCNEHR","name":"NCCNEHR","portal":"BioPortal"}]},"legacy_ids":["bsg-001083","bsg-s001083"],"name":"FAIRsharing record for: NCCN EHR Oncology Categories","abbreviation":"NCCNEHR","url":"https://fairsharing.org/10.25504/FAIRsharing.ts6zgq","doi":"10.25504/FAIRsharing.ts6zgq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCCN EHR Oncology Advisory Group was formed to address the high variance in oncology history documentation within EHR systems. Specifically, there is a lack of standardization in the names of oncology history categories across institutions. Moreover, no synonym list or mapping currently exists between the varied category names. Furthermore, oncology history documentation is often inconsistent, incomplete, and not updated appropriately. The NCCN EHR Oncology Advisory Group has established best practices and is working with EHR vendors to implement and enhance tools for documentation of oncology history. This ontology is a result of the work of the group, and provides users with a list of oncology history categories and synonyms. It is our sincere hope that this work can form the basis of improving standardization and interoperability of oncology history documentation within EHR systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10443,"fairsharing_record_id":1490,"organisation_id":3925,"relation":"maintains","created_at":"2023-03-22T16:34:09.223Z","updated_at":"2023-03-22T16:34:09.223Z","grant_id":null,"is_lead":true,"saved_state":{"id":3925,"name":"National Comprehensive Cancer Network","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1491","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:48:00.630Z","metadata":{"doi":"10.25504/FAIRsharing.amf6me","name":"VIVO Integrated Semantic Framework Ontology","status":"deprecated","contacts":[{"contact_name":"Michael Conlon","contact_email":"mconlon@ufl.edu"}],"homepage":"https://wiki.lyrasis.org/display/VIVODOC110x/Ontology+Reference","identifier":1491,"description":"The VIVO Integrated Semantic Framework ontology (VIVO-ISF Ontology, sometimes also known as the VIVO Ontology) represents researchers in the context of their experience, outputs, interests, accomplishments, and associated institutions. VIVO-ISF provides a set of types (classes) and relationships (properties) to represent researchers and the full context in which they work. The larger VIVO software is an open source platform for research discovery. Content in any local VIVO installation may be maintained manually, brought into VIVO in automated ways from local systems of record, such as HR, grants, course, and faculty activity databases, or from database providers such as publication aggregators and funding agencies.","abbreviation":"VIVO-ISF","support_links":[{"url":"https://duraspace.org/vivo/news/","name":"News","type":"Blog/News"},{"url":"https://github.com/openrif/vivo-isf-ontology","name":"GitHub Project","type":"Github"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/Rich+export+SPARQL+queries","name":"About SPARQL Queries","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/Ontology+Overview+%3A+Object+Properties","name":"About VIVO-ISF Object Properties","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/VIVO+Classes","name":"About VIVO-ISF Classes","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/Source+ontologies+for+VIVO","name":"Source Ontologies","type":"Help documentation"},{"url":"https://wiki.lyrasis.org/display/VIVODOC110x/VIVO+Ontology+Domain+Definition","name":"Ontology Domain Information","type":"Help documentation"}],"year_creation":2014,"associated_tools":[{"url":"https://duraspace.org/vivo/download/","name":"VIVO"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VIVO-ISF","name":"VIVO-ISF","portal":"BioPortal"}],"deprecation_date":"2021-02-07","deprecation_reason":"This resource is no longer actively maintained, and has been superceded."},"legacy_ids":["bsg-002774","bsg-s002774"],"name":"FAIRsharing record for: VIVO Integrated Semantic Framework Ontology","abbreviation":"VIVO-ISF","url":"https://fairsharing.org/10.25504/FAIRsharing.amf6me","doi":"10.25504/FAIRsharing.amf6me","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The VIVO Integrated Semantic Framework ontology (VIVO-ISF Ontology, sometimes also known as the VIVO Ontology) represents researchers in the context of their experience, outputs, interests, accomplishments, and associated institutions. VIVO-ISF provides a set of types (classes) and relationships (properties) to represent researchers and the full context in which they work. The larger VIVO software is an open source platform for research discovery. Content in any local VIVO installation may be maintained manually, brought into VIVO in automated ways from local systems of record, such as HR, grants, course, and faculty activity databases, or from database providers such as publication aggregators and funding agencies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2111,"relation":"undefined"}],"grants":[{"id":7554,"fairsharing_record_id":1491,"organisation_id":1738,"relation":"maintains","created_at":"2021-09-30T09:28:41.712Z","updated_at":"2021-09-30T09:28:41.712Z","grant_id":null,"is_lead":false,"saved_state":{"id":1738,"name":"Lyrasis, Atlanta, GA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1492","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:06.844Z","metadata":{"doi":"10.25504/FAIRsharing.x13tv8","name":"Santa Barbara Coastal Observation Ontology","status":"deprecated","contacts":[{"contact_name":"Bryce Mecum","contact_email":"mecum@nceas.ucsb.edu","contact_orcid":"0000-0002-0381-3766"}],"homepage":"https://semtools.ecoinformatics.org/oboe/annotation-bake-off-sbc-oboe-extension-and-eml-datasets","identifier":1492,"description":"Extensible Observation Ontology for the Santa Barbara Coastal Long Term Ecological Research project (SBC-LTER). OBOE SBC extends core concepts defined in the OBOE suite that are particular to the Santa Barbara Coastal Long Term Ecological Research project's data collection activities. These include specific measurement protocols, sites, etc. This is mean as a case study ontology for the Semtools project.","abbreviation":"OBOE SBC","support_links":[{"url":"semtools@ecoinformatics.org","type":"Support email"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBOE-SBC","name":"OBOE-SBC","portal":"BioPortal"}],"deprecation_date":"2019-10-22","deprecation_reason":"This resource is now obsolete."},"legacy_ids":["bsg-002679","bsg-s002679"],"name":"FAIRsharing record for: Santa Barbara Coastal Observation Ontology","abbreviation":"OBOE SBC","url":"https://fairsharing.org/10.25504/FAIRsharing.x13tv8","doi":"10.25504/FAIRsharing.x13tv8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Extensible Observation Ontology for the Santa Barbara Coastal Long Term Ecological Research project (SBC-LTER). OBOE SBC extends core concepts defined in the OBOE suite that are particular to the Santa Barbara Coastal Long Term Ecological Research project's data collection activities. These include specific measurement protocols, sites, etc. This is mean as a case study ontology for the Semtools project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science"],"domains":["Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7555,"fairsharing_record_id":1492,"organisation_id":2210,"relation":"maintains","created_at":"2021-09-30T09:28:41.744Z","updated_at":"2021-09-30T09:28:41.744Z","grant_id":null,"is_lead":false,"saved_state":{"id":2210,"name":"OBOE Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1493","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:27:05.193Z","metadata":{"doi":"10.25504/FAIRsharing.w7a76x","name":"Plant Environmental Ontology","status":"deprecated","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu"}],"homepage":"http://browser.planteome.org/amigo/term/EO:0007359","identifier":1493,"description":"EO is a structured, controlled vocabulary for the representation of plant environmental conditions. EO has now been replaced by PECO. If you are using classes like EO:nnnnnn then you should be able to substitute this for PECO:nnnnnn, as all of the numeric parts of the ID are preserved. For a more robust mechanism, peco.obo contains alt_ids, and peco.owl contains the equivalent replaced_by assertions, which point from an obsoleted EO class to the corresponding PECO class.","abbreviation":"EO","year_creation":2008,"cross_references":[{"url":"http://www.obofoundry.org/ontology/eo.html","name":"eo","portal":"OBO Foundry"}],"deprecation_date":"2019-02-14","deprecation_reason":"This resource has been deprecated and is no longer maintained."},"legacy_ids":["bsg-000062","bsg-s000062"],"name":"FAIRsharing record for: Plant Environmental Ontology","abbreviation":"EO","url":"https://fairsharing.org/10.25504/FAIRsharing.w7a76x","doi":"10.25504/FAIRsharing.w7a76x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EO is a structured, controlled vocabulary for the representation of plant environmental conditions. EO has now been replaced by PECO. If you are using classes like EO:nnnnnn then you should be able to substitute this for PECO:nnnnnn, as all of the numeric parts of the ID are preserved. For a more robust mechanism, peco.obo contains alt_ids, and peco.owl contains the equivalent replaced_by assertions, which point from an obsoleted EO class to the corresponding PECO class.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Environmental Science"],"domains":[],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2052,"relation":"undefined"}],"grants":[{"id":7556,"fairsharing_record_id":1493,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:28:41.767Z","updated_at":"2021-09-30T09:28:41.767Z","grant_id":null,"is_lead":true,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7557,"fairsharing_record_id":1493,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:41.793Z","updated_at":"2021-09-30T09:31:56.635Z","grant_id":1398,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS:1340112 award","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1494","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:56.324Z","metadata":{"doi":"10.25504/FAIRsharing.7tx4ac","name":"Access to Biological Collection Data DNA extension","status":"ready","contacts":[{"contact_name":"Walter G Berendsohn","contact_email":"w.berendsohn@bgbm.org","contact_orcid":"0000-0001-9945-7606"}],"homepage":"http://www.tdwg.org/standards/640/","identifier":1494,"description":"ABCDDNA is a theme specific extension for ABCD (Access to Biological Collections Data) created to facilitate storage and exchange of data related to DNA collection units, such as DNA extraction specifics, DNA quality parameters, and data characterising products of downstream applications, along with the relation to the analysed voucher specimen. ABCDDNA is an XML Schema extension to ABCD 2.06, which offers only a rudimentary set of DNA-specific data (\"Sequences\"). Although a stable standard, it will be replaced by the Global Genome Biodiversity Network (GGBN) Data Standard specification, which currently has a draft status.","abbreviation":"ABCDDNA","support_links":[{"url":"https://github.com/tdwg/abcddna/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://lists.tdwg.org/mailman/listinfo/tdwg-tag","name":"Mailing List","type":"Mailing list"}],"year_creation":2010},"legacy_ids":["bsg-000204","bsg-s000204"],"name":"FAIRsharing record for: Access to Biological Collection Data DNA extension","abbreviation":"ABCDDNA","url":"https://fairsharing.org/10.25504/FAIRsharing.7tx4ac","doi":"10.25504/FAIRsharing.7tx4ac","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ABCDDNA is a theme specific extension for ABCD (Access to Biological Collections Data) created to facilitate storage and exchange of data related to DNA collection units, such as DNA extraction specifics, DNA quality parameters, and data characterising products of downstream applications, along with the relation to the analysed voucher specimen. ABCDDNA is an XML Schema extension to ABCD 2.06, which offers only a rudimentary set of DNA-specific data (\"Sequences\"). Although a stable standard, it will be replaced by the Global Genome Biodiversity Network (GGBN) Data Standard specification, which currently has a draft status.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12269}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Biology"],"domains":["Experimental measurement","DNA sequence data","Deoxyribonucleic acid","Resource collection","Protocol","Polymerase Chain Reaction","Sequence"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1691,"relation":"undefined"}],"grants":[{"id":7558,"fairsharing_record_id":1494,"organisation_id":19,"relation":"maintains","created_at":"2021-09-30T09:28:41.818Z","updated_at":"2021-09-30T09:28:41.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":19,"name":"Access to Biological Collections Data (ABCD) task group, Taxonomic Databases Working Group (TDWG)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1495","type":"fairsharing_records","attributes":{"created_at":"2016-06-24T17:24:21.000Z","updated_at":"2024-04-04T10:15:44.894Z","metadata":{"doi":"10.25504/FAIRsharing.yedsf5","name":"FAANG metadata sample specification standard","status":"ready","contacts":[{"contact_name":"Alexey Sokolov","contact_email":"alexey@ebi.ac.uk","contact_orcid":"0000-0002-3387-0649"}],"homepage":"https://github.com/FAANG/faang-metadata/blob/master/docs/faang_sample_metadata.md","citations":[{"doi":"10.1111/age.12736","pubmed_id":30311252,"publication_id":2772}],"identifier":1495,"description":"The FAANG metadata sample specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG samples are well described and that the description is well structured. In the sample context, we consider donor animals, tissue samples, primary cells or any other biological material to be samples. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","abbreviation":null,"support_links":[{"url":"faang@iastate.edu","name":"General Contact","type":"Support email"},{"url":"faang-dcc@ebi.ac.uk","name":"EBI General Contact","type":"Support email"}],"year_creation":2016,"associated_tools":[{"url":"https://data.faang.org/validation/samples","name":"FAANG metadata validation service"}]},"legacy_ids":["bsg-000672","bsg-s000672"],"name":"FAIRsharing record for: FAANG metadata sample specification standard","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.yedsf5","doi":"10.25504/FAIRsharing.yedsf5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAANG metadata sample specification document describes the principles and structure for the FAANG metadata guidance. The main goal of the FAANG standards is to ensure all FAANG samples are well described and that the description is well structured. In the sample context, we consider donor animals, tissue samples, primary cells or any other biological material to be samples. The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Functional Genomics","Life Science"],"domains":["Biological sample annotation","Cell line","Cell","Cell culture","Tissue"],"taxonomies":["Bos taurus","Bubalus bubalis","Capra hircus","Equus caballus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":2772,"pubmed_id":30311252,"title":"FAANG, establishing metadata standards, validation and best practices for the farmed and companion animal community.","year":2018,"url":"http://doi.org/10.1111/age.12736","authors":"Harrison PW,Fan J,Richardson D,Clarke L,Zerbino D,Cochrane G,Archibald AL,Schmidt CJ,Flicek P","journal":"Anim Genet","doi":"10.1111/age.12736","created_at":"2021-09-30T08:27:40.722Z","updated_at":"2021-09-30T08:27:40.722Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":939,"relation":"undefined"},{"licence_name":"FAANG Apache License","licence_id":308,"licence_url":"https://github.com/FAANG/validate-metadata/blob/master/LICENSE","link_id":938,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":936,"relation":"undefined"}],"grants":[{"id":7560,"fairsharing_record_id":1495,"organisation_id":1069,"relation":"maintains","created_at":"2021-09-30T09:28:41.868Z","updated_at":"2021-09-30T09:28:41.868Z","grant_id":null,"is_lead":true,"saved_state":{"id":1069,"name":"Functional Annotation of Animal Genomes (FAANG) Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9259,"fairsharing_record_id":1495,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.979Z","updated_at":"2022-04-11T12:07:25.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1512","type":"fairsharing_records","attributes":{"created_at":"2021-04-01T23:56:47.000Z","updated_at":"2022-07-20T10:06:09.481Z","metadata":{"doi":"10.25504/FAIRsharing.GWEIFA","name":"ASLS - Landform classifiers","status":"ready","contacts":[{"contact_name":"Andrew Biggs","contact_email":"andrew.biggs@resources.qld.gov.au"}],"homepage":"https://github.com/ANZSoilData/def-au-asls-landform","citations":[],"identifier":1512,"description":"Machine-readable representation of the classifiers described in chapter 5 Landform, by J.G. Speight, in Australian soil and land survey field handbook (3rd edn). In this technique for describing landforms, the whole land surface is viewed as a mosaic of tiles of odd shapes and sizes. The scheme is intended to produce a record of observations rather than inferences. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","abbreviation":"landform","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LANDFORM","name":"LANDFORM","portal":"BioPortal"}]},"legacy_ids":["bsg-001604","bsg-s001604"],"name":"FAIRsharing record for: ASLS - Landform classifiers","abbreviation":"landform","url":"https://fairsharing.org/10.25504/FAIRsharing.GWEIFA","doi":"10.25504/FAIRsharing.GWEIFA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Machine-readable representation of the classifiers described in chapter 5 Landform, by J.G. Speight, in Australian soil and land survey field handbook (3rd edn). In this technique for describing landforms, the whole land surface is viewed as a mosaic of tiles of odd shapes and sizes. The scheme is intended to produce a record of observations rather than inferences. The data was converted from the print representation to this linked-data form by Linda Gregory assisted by Simon J D Cox.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["soil carbon","Soil pH","Soil texture"],"countries":["Australia"],"publications":[{"id":2514,"pubmed_id":null,"title":"Australian Soil and Land Survey Handbook (Third Edition)","year":2009,"url":"https://www.publish.csiro.au/book/5230","authors":"National Committee on Soil and Terrain","journal":"CSIRO Publishing","doi":null,"created_at":"2021-09-30T08:27:08.484Z","updated_at":"2021-09-30T08:27:08.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":2720,"relation":"applies_to_content"}],"grants":[{"id":7605,"fairsharing_record_id":1512,"organisation_id":1980,"relation":"maintains","created_at":"2021-09-30T09:28:43.470Z","updated_at":"2022-06-30T11:29:28.453Z","grant_id":null,"is_lead":true,"saved_state":{"id":1980,"name":"National Committee on Soil and Terrain","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1513","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:01.239Z","metadata":{"doi":"10.25504/FAIRsharing.mtf81z","name":"International Classification of Diseases for Oncology, 3rd Edition","status":"ready","contacts":[{"contact_name":"Freddie Bray","contact_email":"brayf@who.int"}],"homepage":"https://www.who.int/standards/classifications/other-classifications/international-classification-of-diseases-for-oncology","identifier":1513,"description":"The International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3) is used principally in tumour or cancer registries for coding the site (topography) and the histology (morphology) of neoplasms, usually obtained from a pathology report. It provides a multi-axial classification of the site, morphology, behaviour, and grading of neoplasms. The topography axis uses the ICD-10 classification of malignant neoplasms (except those categories which relate to secondary neoplasms and to specified morphological types of tumours) for all types of tumours, thereby providing greater site detail for non-malignant tumours than is provided in ICD-10. In contrast to ICD-10, the ICD-O-3 includes topography for sites of haematopoietic and reticuloendothelial tumours.","abbreviation":"ICD-O-3","support_links":[{"url":"jakobr@who.int","name":"Robert Jakob","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/International_Classification_of_Diseases_for_Oncology","name":"ICD-0 Wikipedia entry","type":"Wikipedia"}],"year_creation":1976},"legacy_ids":["bsg-002756","bsg-s002756"],"name":"FAIRsharing record for: International Classification of Diseases for Oncology, 3rd Edition","abbreviation":"ICD-O-3","url":"https://fairsharing.org/10.25504/FAIRsharing.mtf81z","doi":"10.25504/FAIRsharing.mtf81z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3) is used principally in tumour or cancer registries for coding the site (topography) and the histology (morphology) of neoplasms, usually obtained from a pathology report. It provides a multi-axial classification of the site, morphology, behaviour, and grading of neoplasms. The topography axis uses the ICD-10 classification of malignant neoplasms (except those categories which relate to secondary neoplasms and to specified morphological types of tumours) for all types of tumours, thereby providing greater site detail for non-malignant tumours than is provided in ICD-10. In contrast to ICD-10, the ICD-O-3 includes topography for sites of haematopoietic and reticuloendothelial tumours.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17328},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12470},{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16786}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Oncology","Health Science","Global Health","Pathology"],"domains":["Cancer","Tumor","Electronic health record","Histology","Disease","Classification","Morphology"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ICD-O: account required","licence_id":409,"licence_url":"http://apps.who.int/classifications/apps/icd/ClassificationDownload/DLArea/Download.aspx","link_id":1524,"relation":"undefined"},{"licence_name":"World Health Organization (WHO) Copyright, Licencing and Permissions","licence_id":868,"licence_url":"https://www.who.int/about/who-we-are/publishing-policies/copyright","link_id":1520,"relation":"undefined"}],"grants":[{"id":7607,"fairsharing_record_id":1513,"organisation_id":1472,"relation":"maintains","created_at":"2021-09-30T09:28:43.540Z","updated_at":"2021-09-30T09:28:43.540Z","grant_id":null,"is_lead":false,"saved_state":{"id":1472,"name":"International Agency for Research on Cancer (IARC), Lyon, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7606,"fairsharing_record_id":1513,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:43.498Z","updated_at":"2021-09-30T09:28:43.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1514","type":"fairsharing_records","attributes":{"created_at":"2021-03-11T11:48:33.000Z","updated_at":"2022-07-20T12:30:09.943Z","metadata":{"doi":"10.25504/FAIRsharing.2LyTxE","name":"Polygenic Risk Score Reporting Standards","status":"ready","contacts":[{"contact_name":"Genevieve Wojcik","contact_email":"gwojcik@stanford.edu","contact_orcid":"0000-0001-7206-8088"}],"homepage":"https://clinicalgenome.org/docs/clingen-complex-disease-prs-reporting-standards/","citations":[{"doi":"10.1038/s41586-021-03243-6","pubmed_id":33692554,"publication_id":2103}],"identifier":1514,"description":"The Polygenic Risk Score Reporting Standards (PRS-RS) provides the minimal information expected of authors to promote the internal validity, transparency, and reproducibility of PRS by requiring authors to detail the study population, statistical methods, and clinical utility of a published score. PRSs, which often aggregate results from genome-wide association studies, can bridge the gap between initial discovery efforts and clinical applications for the estimation of disease risk using genetics. However, there is notable heterogeneity in the application and reporting of these risk scores, which hinders the translation of PRSs into clinical care. These guidelines update the Genetic Risk Prediction Studies (GRIPS) Statement to reflect the present state of the field. Drawing on the input of experts in epidemiology, statistics, disease-specific applications, implementation and policy, this reporting framework defines the minimal information that is needed to interpret and evaluate PRSs, especially with respect to downstream clinical applications. Items span detailed descriptions of study populations, statistical methods for the development and validation of PRSs and considerations for the potential limitations of these scores. In addition, data deposition is encouraged via the PGS Catalog to facilitate reproducibility and comparative benchmarking. By providing these criteria in a structured format that builds on existing standards and ontologies, the aim is to facilitate translation into clinical care and progress towards defining best practice.","abbreviation":"PRS-RS","support_links":[{"url":"https://clinicalgenome.org/working-groups/complex-disease/","name":"ClinGen Complex Disease group website","type":"Help documentation"},{"url":"https://twitter.com/ClinGenResource","name":"@ClinGenResource","type":"Twitter"}],"year_creation":2020},"legacy_ids":["bsg-001595","bsg-s001595"],"name":"FAIRsharing record for: Polygenic Risk Score Reporting Standards","abbreviation":"PRS-RS","url":"https://fairsharing.org/10.25504/FAIRsharing.2LyTxE","doi":"10.25504/FAIRsharing.2LyTxE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Polygenic Risk Score Reporting Standards (PRS-RS) provides the minimal information expected of authors to promote the internal validity, transparency, and reproducibility of PRS by requiring authors to detail the study population, statistical methods, and clinical utility of a published score. PRSs, which often aggregate results from genome-wide association studies, can bridge the gap between initial discovery efforts and clinical applications for the estimation of disease risk using genetics. However, there is notable heterogeneity in the application and reporting of these risk scores, which hinders the translation of PRSs into clinical care. These guidelines update the Genetic Risk Prediction Studies (GRIPS) Statement to reflect the present state of the field. Drawing on the input of experts in epidemiology, statistics, disease-specific applications, implementation and policy, this reporting framework defines the minimal information that is needed to interpret and evaluate PRSs, especially with respect to downstream clinical applications. Items span detailed descriptions of study populations, statistical methods for the development and validation of PRSs and considerations for the potential limitations of these scores. In addition, data deposition is encouraged via the PGS Catalog to facilitate reproducibility and comparative benchmarking. By providing these criteria in a structured format that builds on existing standards and ontologies, the aim is to facilitate translation into clinical care and progress towards defining best practice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Quantitative Genetics","Personalized Medicine","Human Genetics","Epidemiology"],"domains":["Biomarker"],"taxonomies":["Homo sapiens"],"user_defined_tags":["genomic risk score","polygenic risk score","polygenic score"],"countries":["Australia","Canada","United Kingdom","United States"],"publications":[{"id":2103,"pubmed_id":33692554,"title":"Improving reporting standards for polygenic scores in risk prediction studies","year":2021,"url":"http://doi.org/10.1038/s41586-021-03243-6","authors":"Wand H, Lambert SA, [28 other Authors, ClinGen Complex Diseases working group], Inouye M, Wojcik GL","journal":"Nature","doi":"10.1038/s41586-021-03243-6","created_at":"2021-09-30T08:26:17.000Z","updated_at":"2021-09-30T08:26:17.000Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1391,"relation":"undefined"}],"grants":[{"id":7608,"fairsharing_record_id":1514,"organisation_id":538,"relation":"maintains","created_at":"2021-09-30T09:28:43.561Z","updated_at":"2021-09-30T09:28:43.561Z","grant_id":null,"is_lead":true,"saved_state":{"id":538,"name":"ClinGen Complex Disease working group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7609,"fairsharing_record_id":1514,"organisation_id":2343,"relation":"maintains","created_at":"2021-09-30T09:28:43.589Z","updated_at":"2021-09-30T09:28:43.589Z","grant_id":null,"is_lead":true,"saved_state":{"id":2343,"name":"Polygenic Score (PGS) Catalog","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1515","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T17:55:51.000Z","updated_at":"2024-01-28T11:13:30.281Z","metadata":{"name":"A minimum information framework the FAIR collection of earth and envionmental science data with drones","status":"in_development","contacts":[{"contact_name":"Andrea Thomer","contact_email":"athomer@umich.edu","contact_orcid":"0000-0001-6238-3498"}],"homepage":"https://doi.org/10.5281/zenodo.4124166","citations":[],"identifier":1515,"description":"This standard is a minimum information framework (MIF) for data collected by small unmanned aerial systems (AKA sUAS AKA RPAs AKA drones). A MIF is essentially a framework for the development for further data standards; it lists the metadata needed for the collection of FAIR (Findable Accessible Interoperable and Reusable) scientific data with drones/sUAS/RPAs. The sUAS MIF includes: An entity-relationship model illustrating key data classes and their relationships (file coming soon) sUASMIF.csv: A csv listing the attributes and their definitions for each class. This is the main file for the MIF datadict.txt: a data dictionary defining each column the the main MIF csv The MIF was drafted through examination of 3 case studies of data collection with drones, and then refined through iterative rounds of community feedback and reflection on the authors' own work with drone-based data collection. We are currently writing a short paper further describing the development of the standard.","abbreviation":"sUAS MIF","year_creation":2020},"legacy_ids":["bsg-001544","bsg-s001544"],"name":"FAIRsharing record for: A minimum information framework the FAIR collection of earth and envionmental science data with drones","abbreviation":"sUAS MIF","url":"https://fairsharing.org/fairsharing_records/1515","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard is a minimum information framework (MIF) for data collected by small unmanned aerial systems (AKA sUAS AKA RPAs AKA drones). A MIF is essentially a framework for the development for further data standards; it lists the metadata needed for the collection of FAIR (Findable Accessible Interoperable and Reusable) scientific data with drones/sUAS/RPAs. The sUAS MIF includes: An entity-relationship model illustrating key data classes and their relationships (file coming soon) sUASMIF.csv: A csv listing the attributes and their definitions for each class. This is the main file for the MIF datadict.txt: a data dictionary defining each column the the main MIF csv The MIF was drafted through examination of 3 case studies of data collection with drones, and then refined through iterative rounds of community feedback and reflection on the authors' own work with drone-based data collection. We are currently writing a short paper further describing the development of the standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Earth Science"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["drones","RPAs","sUAS"],"countries":["South Africa","United States"],"publications":[{"id":4004,"pubmed_id":null,"title":"Making Drone Data FAIR Through a Community-Developed Information Framework","year":2023,"url":"http://dx.doi.org/10.5334/dsj-2023-001","authors":"Barbieri, Lindsay; Wyngaard, Jane; Swanz, Sarah; Thomer, Andrea K.; ","journal":"Data Science Journal","doi":"10.5334/dsj-2023-001","created_at":"2023-10-03T10:13:14.772Z","updated_at":"2023-10-03T10:13:14.772Z"}],"licence_links":[],"grants":[{"id":7610,"fairsharing_record_id":1515,"organisation_id":810,"relation":"funds","created_at":"2021-09-30T09:28:43.622Z","updated_at":"2021-09-30T09:28:43.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":810,"name":"Earth Science Information Partners","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":10970,"fairsharing_record_id":1515,"organisation_id":3013,"relation":"maintains","created_at":"2023-10-03T10:16:06.579Z","updated_at":"2023-10-03T10:16:06.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":3013,"name":"University of Arizona, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10969,"fairsharing_record_id":1515,"organisation_id":4130,"relation":"maintains","created_at":"2023-10-03T10:16:06.578Z","updated_at":"2023-10-03T10:16:06.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":4130,"name":"University of Vermont","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10971,"fairsharing_record_id":1515,"organisation_id":3221,"relation":"maintains","created_at":"2023-10-03T10:16:06.653Z","updated_at":"2023-10-03T10:16:06.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":3221,"name":"Washington University in St Louis, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10972,"fairsharing_record_id":1515,"organisation_id":3039,"relation":"maintains","created_at":"2023-10-03T10:16:06.666Z","updated_at":"2023-10-03T10:16:06.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":3039,"name":"University of Cape Town, Rondebosch, South Africa","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1516","type":"fairsharing_records","attributes":{"created_at":"2021-03-25T11:49:01.000Z","updated_at":"2022-07-20T09:18:42.069Z","metadata":{"doi":"10.25504/FAIRsharing.f84009","name":"Union List of Artist Names","status":"ready","contacts":[{"contact_name":"ULAN Editors","contact_email":"ULAN@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/ulan/index.html","citations":[],"identifier":1516,"description":"The Union List of Artist Names (ULAN) contains names, relationships, notes, sources, and biographical information for artists, architects, firms, studios, repositories, patrons, and other individuals and corporate bodies, both named and anonymous. Names are included when they are required for the documentation, collection, and discovery of information about art, architecture, and other material culture where the works are of the type collected by art museums and other repositories for visual cultural heritage, or that are architecture. The ULAN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","abbreviation":"ULAN","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabulary Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/ulan/faq.html","name":"ULAN FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/ulan/about.html","name":"About","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/ulan/help.html","name":"How to Use","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/lod/index.html","name":"Getty Vocabularies as Linked Open Data","type":"Help documentation"}],"year_creation":1984},"legacy_ids":["bsg-001600","bsg-s001600"],"name":"FAIRsharing record for: Union List of Artist Names","abbreviation":"ULAN","url":"https://fairsharing.org/10.25504/FAIRsharing.f84009","doi":"10.25504/FAIRsharing.f84009","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Union List of Artist Names (ULAN) contains names, relationships, notes, sources, and biographical information for artists, architects, firms, studios, repositories, patrons, and other individuals and corporate bodies, both named and anonymous. Names are included when they are required for the documentation, collection, and discovery of information about art, architecture, and other material culture where the works are of the type collected by art museums and other repositories for visual cultural heritage, or that are architecture. The ULAN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Art History","Architecture","Art","History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":635,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":636,"relation":"undefined"}],"grants":[{"id":7611,"fairsharing_record_id":1516,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:43.659Z","updated_at":"2022-07-19T18:07:12.865Z","grant_id":null,"is_lead":true,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1498","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:29:16.032Z","metadata":{"doi":"10.25504/FAIRsharing.1gr4tz","name":"Experimental Factor Ontology","status":"ready","contacts":[{"contact_name":"Sirarat Sarntivijai","contact_email":"siiraa@ebi.ac.uk","contact_orcid":"0000-0002-2548-641X"}],"homepage":"https://www.ebi.ac.uk/efo/","citations":[{"doi":"10.1093/bioinformatics/btq099","pubmed_id":20200009,"publication_id":992}],"identifier":1498,"description":"The Experimental Factor Ontology (EFO) is an application focused ontology modelling the experimental variables in multiple resources at the EBI and the Centre for Therapeutic Target Validation. The ontology has been developed to increase the richness of the annotations that are currently made in resources and to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The ontology pulls together classes from reference ontologies such as disease, cell line, cell type and anatomy and adds axiomatisation as necessary to connect areas such as disease to phenotype.","abbreviation":"EFO","support_links":[{"url":"https://www.ebi.ac.uk/efo/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"efo-users@lists.sourceforge.net","name":"efo-users@ebi.ac.uk","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/efo/about.html","name":"About EFO","type":"Help documentation"},{"url":"https://github.com/EBISPOT/efo","name":"GitHub Project","type":"Github"}],"year_creation":2010,"associated_tools":[{"url":"http://www.ebi.ac.uk/efo/webulous","name":"Webulous"},{"url":"https://github.com/EBISPOT/urigen","name":"Urigen"},{"url":"http://www.ebi.ac.uk/efo/bubastis/","name":"Bubastis"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EFO","name":"EFO","portal":"BioPortal"}]},"legacy_ids":["bsg-000082","bsg-s000082"],"name":"FAIRsharing record for: Experimental Factor Ontology","abbreviation":"EFO","url":"https://fairsharing.org/10.25504/FAIRsharing.1gr4tz","doi":"10.25504/FAIRsharing.1gr4tz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Experimental Factor Ontology (EFO) is an application focused ontology modelling the experimental variables in multiple resources at the EBI and the Centre for Therapeutic Target Validation. The ontology has been developed to increase the richness of the annotations that are currently made in resources and to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The ontology pulls together classes from reference ontologies such as disease, cell line, cell type and anatomy and adds axiomatisation as necessary to connect areas such as disease to phenotype.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18268},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17563},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10868},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11262},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11927},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12395}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics"],"domains":["Experimental measurement","Assay","Independent variable","Study design","Genome-wide association study"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":992,"pubmed_id":20200009,"title":"Modeling sample variables with an Experimental Factor Ontology.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq099","authors":"Malone J,Holloway E,Adamusiak T,Kapushesky M,Zheng J,Kolesnikov N,Zhukova A,Brazma A,Parkinson H","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq099","created_at":"2021-09-30T08:24:09.805Z","updated_at":"2021-09-30T08:24:09.805Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2054,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2053,"relation":"undefined"}],"grants":[{"id":7566,"fairsharing_record_id":1498,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:42.083Z","updated_at":"2021-09-30T09:28:42.083Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7570,"fairsharing_record_id":1498,"organisation_id":1098,"relation":"funds","created_at":"2021-09-30T09:28:42.218Z","updated_at":"2021-09-30T09:29:49.991Z","grant_id":425,"is_lead":false,"saved_state":{"id":1098,"name":"GEN2PHEN","grant":"200754","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7569,"fairsharing_record_id":1498,"organisation_id":854,"relation":"funds","created_at":"2021-09-30T09:28:42.193Z","updated_at":"2021-09-30T09:32:36.147Z","grant_id":1694,"is_lead":false,"saved_state":{"id":854,"name":"EMERALD Publishing Limited, Bingley, UK","grant":"LSHG-CT-2006-037686","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":7567,"fairsharing_record_id":1498,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:28:42.125Z","updated_at":"2021-09-30T09:28:42.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9298,"fairsharing_record_id":1498,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:28.705Z","updated_at":"2022-04-11T12:07:28.721Z","grant_id":474,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1499","type":"fairsharing_records","attributes":{"created_at":"2020-07-02T15:18:07.000Z","updated_at":"2022-07-20T11:04:12.797Z","metadata":{"doi":"10.25504/FAIRsharing.ld9wne","name":"Open Data for Access and Mining Structural Metadata","status":"ready","contacts":[{"contact_name":"Daniel Jacob","contact_email":"daniel.jacob@inrae.fr","contact_orcid":"0000-0002-6687-7169"}],"homepage":"https://inrae.github.io/ODAM/data-preparation/","citations":[{"doi":"10.1093/gigascience/giaa144","pubmed_id":33319910,"publication_id":3006}],"identifier":1499,"description":"Open Data for Access and Mining (ODAM) Structural Metadata is a format describing how the metadata should be formatted and what should be included to ensure ODAM compliance for a data set. To comply with this format, two metadata files in TSV format are required in addition to the data file(s). These two files describe the metadata of the dataset, which includes descriptions of measures and structural metadata like references between tables. It is this latter format that is described in this record. The metadata lets non-expert users explore and visualize your data. By making data interoperable and reusable by both humans and machines, it also encourages data dissemination according to FAIR principles. The structural metadata is specified in section three of the listed homepage.","abbreviation":"ODAM Structural Metadata","support_links":[{"url":"https://inrae.github.io/ODAM/","name":"ODAM: User's Guide","type":"Github"},{"url":"https://inrae.github.io/ODAM/json-schema/","name":"Structural Metadata: JSON Datapackage Specification","type":"Github"}],"year_creation":2020,"associated_tools":[{"url":"https://inrae.github.io/ODAM/data-explorer/","name":"ODAM dataexplorer 1.4"},{"url":"https://cran.r-project.org/web/packages/Rodam/","name":"Rodam 0.1.12"}]},"legacy_ids":["bsg-001505","bsg-s001505"],"name":"FAIRsharing record for: Open Data for Access and Mining Structural Metadata","abbreviation":"ODAM Structural Metadata","url":"https://fairsharing.org/10.25504/FAIRsharing.ld9wne","doi":"10.25504/FAIRsharing.ld9wne","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Data for Access and Mining (ODAM) Structural Metadata is a format describing how the metadata should be formatted and what should be included to ensure ODAM compliance for a data set. To comply with this format, two metadata files in TSV format are required in addition to the data file(s). These two files describe the metadata of the dataset, which includes descriptions of measures and structural metadata like references between tables. It is this latter format that is described in this record. The metadata lets non-expert users explore and visualize your data. By making data interoperable and reusable by both humans and machines, it also encourages data dissemination according to FAIR principles. The structural metadata is specified in section three of the listed homepage.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Life Science","Subject Agnostic"],"domains":["Experimental measurement","Data identity and mapping","Protocol","Study design","Experimentally determined","FAIR"],"taxonomies":["All"],"user_defined_tags":["Structured data"],"countries":["France"],"publications":[{"id":3006,"pubmed_id":33319910,"title":"Making experimental data tables in the life sciences more FAIR: a pragmatic approach","year":2020,"url":"http://doi.org/giaa144","authors":"Daniel Jacob , Romain David, Sophie Aubin, Yves Gibon","journal":"Gigascience","doi":"10.1093/gigascience/giaa144","created_at":"2021-09-30T08:28:10.632Z","updated_at":"2021-09-30T08:28:10.632Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":1606,"relation":"undefined"}],"grants":[{"id":7571,"fairsharing_record_id":1499,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:42.243Z","updated_at":"2021-09-30T09:28:42.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1500","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T09:05:19.000Z","updated_at":"2022-07-20T10:42:27.607Z","metadata":{"doi":"10.25504/FAIRsharing.CD2Px7","name":"Minimum Information Required for a Glycomics Experiment - Liquid Chromatography Analysis","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#liquid_chromatography","citations":[{"doi":"https://doi.org/10.1093/glycob/cwz009","publication_id":3065}],"identifier":1500,"description":"Thes LC guidelines are intended to improve the reporting of liquid chromatography (LC) glycan data. The MIRAGE-LC module covers all aspects of instrument setup and modality of data handling and manipulation cross-linked with other MIRAGE recommentations. The following parameters should be included in the report: - equipment used, including the specification of column details \u0026 characteristics, mobile phase, properties of the chromatographic run, pre- and post run processes, column outputs - fractions, data annotation, - exoglycosidase treatment","abbreviation":"MIRAGE LC Guidelines","support_links":[{"url":"mirage@beilstein-institut.de","name":"Dr. Carsten Kettner","type":"Support email"}],"year_creation":2018},"legacy_ids":["bsg-001361","bsg-s001361"],"name":"FAIRsharing record for: Minimum Information Required for a Glycomics Experiment - Liquid Chromatography Analysis","abbreviation":"MIRAGE LC Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.CD2Px7","doi":"10.25504/FAIRsharing.CD2Px7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Thes LC guidelines are intended to improve the reporting of liquid chromatography (LC) glycan data. The MIRAGE-LC module covers all aspects of instrument setup and modality of data handling and manipulation cross-linked with other MIRAGE recommentations. The following parameters should be included in the report: - equipment used, including the specification of column details \u0026 characteristics, mobile phase, properties of the chromatographic run, pre- and post run processes, column outputs - fractions, data annotation, - exoglycosidase treatment","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12126}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Glycomics","Biology"],"domains":["Experimental measurement","Annotation","Chromatography","Protocol"],"taxonomies":["All"],"user_defined_tags":["Glycan Annotation"],"countries":["Australia","Germany","Ireland","United Kingdom","United States"],"publications":[{"id":3065,"pubmed_id":null,"title":"The Minimum Information Required for a Glycomics Experiment (MIRAGE) Project: LC Guidelines","year":2019,"url":"http://doi.org/https://doi.org/10.1093/glycob/cwz009","authors":"Campbell, MP, Abrahams JL, Rapp E., Struwe, WB, Costello CE, Novotny M, Ranzinger R, York WS, Kolarich D, Kettner C","journal":"Glycobiology","doi":"https://doi.org/10.1093/glycob/cwz009","created_at":"2021-09-30T08:28:17.737Z","updated_at":"2021-09-30T08:28:17.737Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2240,"relation":"undefined"}],"grants":[{"id":7572,"fairsharing_record_id":1500,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:42.269Z","updated_at":"2021-09-30T09:28:42.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7575,"fairsharing_record_id":1500,"organisation_id":301,"relation":"maintains","created_at":"2021-09-30T09:28:42.351Z","updated_at":"2021-09-30T09:28:42.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":301,"name":"Boston University, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7579,"fairsharing_record_id":1500,"organisation_id":1201,"relation":"maintains","created_at":"2021-09-30T09:28:42.457Z","updated_at":"2021-09-30T09:28:42.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":1201,"name":"Griffith University, Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7577,"fairsharing_record_id":1500,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:42.401Z","updated_at":"2021-09-30T09:28:53.833Z","grant_id":5,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","grant":"MIRAGE","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7573,"fairsharing_record_id":1500,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:42.303Z","updated_at":"2021-09-30T09:28:42.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7574,"fairsharing_record_id":1500,"organisation_id":1327,"relation":"maintains","created_at":"2021-09-30T09:28:42.327Z","updated_at":"2021-09-30T09:28:42.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":1327,"name":"Indiana University, Bloomington, IN, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7576,"fairsharing_record_id":1500,"organisation_id":1790,"relation":"maintains","created_at":"2021-09-30T09:28:42.377Z","updated_at":"2021-09-30T09:28:42.377Z","grant_id":null,"is_lead":false,"saved_state":{"id":1790,"name":"Max Planck Institute for the Dynmics of Complex Technical Systems Magdeburg","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7578,"fairsharing_record_id":1500,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:42.425Z","updated_at":"2021-09-30T09:28:42.425Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWUk9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f1e343a719409d929ea7411c11705b069c2e73b7/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1501","type":"fairsharing_records","attributes":{"created_at":"2021-02-08T12:11:49.000Z","updated_at":"2022-07-20T09:19:50.950Z","metadata":{"doi":"10.25504/FAIRsharing.yhLgTV","name":"Investigation Study Assay JSON","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"isatools@googlegroups.com"}],"homepage":"https://isa-specs.readthedocs.io/en/latest/isajson.html","citations":[],"identifier":1501,"description":"Investigation Study Assay JSON (ISA-JSON) describes the ISA Abstract Model reference implementation specified using the JavaScript Object Notation (JSON) format, a text format for serializing structured data. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","abbreviation":"ISA-JSON","support_links":[{"url":"http://isa-tools.org/blog/index.html","name":"ISA Blog","type":"Blog/News"},{"url":"https://groups.google.com/forum/#!forum/isaforum","name":"ISA Forum","type":"Forum"},{"url":"https://github.com/ISA-tools/ISAdatasets/tree/master/json","name":"Examples","type":"Github"},{"url":"https://twitter.com/isatools","name":"@isatools","type":"Twitter"}]},"legacy_ids":["bsg-001578","bsg-s001578"],"name":"FAIRsharing record for: Investigation Study Assay JSON","abbreviation":"ISA-JSON","url":"https://fairsharing.org/10.25504/FAIRsharing.yhLgTV","doi":"10.25504/FAIRsharing.yhLgTV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Investigation Study Assay JSON (ISA-JSON) describes the ISA Abstract Model reference implementation specified using the JavaScript Object Notation (JSON) format, a text format for serializing structured data. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17366},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14561},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16965}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Experimental measurement","Reagent","Gene expression","Biological sample","Assay","Protocol","Study design","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7582,"fairsharing_record_id":1501,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:42.622Z","updated_at":"2021-09-30T09:28:42.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7580,"fairsharing_record_id":1501,"organisation_id":1555,"relation":"maintains","created_at":"2021-09-30T09:28:42.551Z","updated_at":"2021-09-30T09:28:42.551Z","grant_id":null,"is_lead":true,"saved_state":{"id":1555,"name":"ISA-Tools, University of Oxford, Oxford, UK","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":7581,"fairsharing_record_id":1501,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:42.588Z","updated_at":"2021-09-30T09:28:42.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7583,"fairsharing_record_id":1501,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:42.658Z","updated_at":"2021-09-30T09:28:42.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1502","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:20:13.730Z","metadata":{"doi":"10.25504/FAIRsharing.15025c","name":"Postscript Format","status":"ready","homepage":"http://partners.adobe.com/public/developer/ps/index_specs.html","identifier":1502,"description":"THE POSTSCRIPT® LANGUAGE is a simple interpretive programming language with powerful graphics capabilities. Its primary application is to describe the appearance of text, graphical shapes, and sampled images on printed or displayed pages, according to the Adobe imaging model. A program in this language can communicate a description of a document from a composition system to a printing system or control the appearance of text and graphics on a display. The description is high-level and device-independent.","abbreviation":"Postscript Format","year_creation":1990},"legacy_ids":["bsg-000258","bsg-s000258"],"name":"FAIRsharing record for: Postscript Format","abbreviation":"Postscript Format","url":"https://fairsharing.org/10.25504/FAIRsharing.15025c","doi":"10.25504/FAIRsharing.15025c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: THE POSTSCRIPT® LANGUAGE is a simple interpretive programming language with powerful graphics capabilities. Its primary application is to describe the appearance of text, graphical shapes, and sampled images on printed or displayed pages, according to the Adobe imaging model. A program in this language can communicate a description of a document from a composition system to a printing system or control the appearance of text and graphics on a display. The description is high-level and device-independent.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7584,"fairsharing_record_id":1502,"organisation_id":25,"relation":"maintains","created_at":"2021-09-30T09:28:42.697Z","updated_at":"2021-09-30T09:28:42.697Z","grant_id":null,"is_lead":false,"saved_state":{"id":25,"name":"Adobe","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1503","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:09.086Z","metadata":{"doi":"10.25504/FAIRsharing.2xahkx","name":"Neuroscience Information Framework Dysfunction","status":"deprecated","contacts":[{"contact_name":"Fahim Imam","contact_email":"smtifahim@gmail.com","contact_orcid":"0000-0003-4752-543X"}],"homepage":"http://bioportal.bioontology.org/ontologies/NIFDYS?p=summary","identifier":1503,"description":"This ontology contains the former BIRNLex-Disease, version 1.3.2. -- The BIRN Project lexicon will provide entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. It is built using the organizational framework provided by the foundational Basic Formal Ontology (BFO). It uses an abstract biomedical layer on top of that - OBO-UBO which has been constructed as a proposal to the OBO Foundry. This is meant to support creating a sharable view of core biomedical objects such as biomaterial_entity, and organismal_entity that all biomedical ontologies are likely to need and want to use with the same intended meaning. The BIRNLex was intended to serve as the basis for construction of a formal ontology for the multiscale investigation of neurological disease.","abbreviation":"NIFDYS","support_links":[{"url":"https://neuinfo.org/about/nifvocabularies","name":"About all NIF Vocabularies","type":"Help documentation"},{"url":"https://github.com/SciCrunch/NIF-Ontology","name":"GitHub Project","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NIFDYS","name":"NIFDYS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/nif_dysfunction.html","name":"nif_dysfunction","portal":"OBO Foundry"}],"deprecation_date":"2021-02-08","deprecation_reason":"This resource has been marked as deprecated by the OBO Foundry."},"legacy_ids":["bsg-000125","bsg-s000125"],"name":"FAIRsharing record for: Neuroscience Information Framework Dysfunction","abbreviation":"NIFDYS","url":"https://fairsharing.org/10.25504/FAIRsharing.2xahkx","doi":"10.25504/FAIRsharing.2xahkx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology contains the former BIRNLex-Disease, version 1.3.2. -- The BIRN Project lexicon will provide entities for data and database annotation for the BIRN project, covering anatomy, disease, data collection, project management and experimental design. It is built using the organizational framework provided by the foundational Basic Formal Ontology (BFO). It uses an abstract biomedical layer on top of that - OBO-UBO which has been constructed as a proposal to the OBO Foundry. This is meant to support creating a sharable view of core biomedical objects such as biomaterial_entity, and organismal_entity that all biomedical ontologies are likely to need and want to use with the same intended meaning. The BIRNLex was intended to serve as the basis for construction of a formal ontology for the multiscale investigation of neurological disease.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Neurobiology","Biomedical Science"],"domains":["Protocol","Study design","Disease","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2112,"relation":"undefined"}],"grants":[{"id":11534,"fairsharing_record_id":1503,"organisation_id":2144,"relation":"maintains","created_at":"2024-03-21T13:58:09.000Z","updated_at":"2024-03-21T13:58:09.000Z","grant_id":null,"is_lead":true,"saved_state":{"id":2144,"name":"Neuroscience Information Framework (NIF)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1504","type":"fairsharing_records","attributes":{"created_at":"2021-03-11T16:13:08.000Z","updated_at":"2023-09-29T11:55:03.278Z","metadata":{"doi":"10.25504/FAIRsharing.zI0vGD","name":"ISO 28500:2017 Information and documentation — Web ARChive file format","status":"ready","contacts":[{"contact_name":"Ms Myounghyun Shim","contact_email":"shmh@korea.kr"}],"homepage":"https://www.iso.org/standard/68004.html","identifier":1504,"description":"The WARC (Web ARChive) file format offers a convention for concatenating multiple resource records (data objects), each consisting of a set of simple text headers and an arbitrary data block into one long file. The WARC format is an extension of the ARC file format (ARC) that has traditionally been used to store “web crawls” as sequences of content blocks harvested from the World Wide Web. Besides the primary content recorded in ARCs, the extended WARC format accommodates related secondary content, such as assigned metadata, abbreviated duplicate detection events, later-date transformations, and segmentation of large resources. The extension may also be useful for more general applications than web archiving. To aid the development of tools that are backwards compatible, WARC content is clearly distinguishable from pre-revision ARC content.","abbreviation":"WARC","support_links":[{"url":"https://iipc.github.io/warc-specifications","name":"GitHub.io Site","type":"Github"},{"url":"http://bibnum.bnf.fr/WARC/","name":"WARC General Information","type":"Help documentation"},{"url":"https://github.com/iipc/warc-specifications","name":"GitHub Project","type":"Github"}],"year_creation":2009},"legacy_ids":["bsg-001596","bsg-s001596"],"name":"FAIRsharing record for: ISO 28500:2017 Information and documentation — Web ARChive file format","abbreviation":"WARC","url":"https://fairsharing.org/10.25504/FAIRsharing.zI0vGD","doi":"10.25504/FAIRsharing.zI0vGD","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WARC (Web ARChive) file format offers a convention for concatenating multiple resource records (data objects), each consisting of a set of simple text headers and an arbitrary data block into one long file. The WARC format is an extension of the ARC file format (ARC) that has traditionally been used to store “web crawls” as sequences of content blocks harvested from the World Wide Web. Besides the primary content recorded in ARCs, the extended WARC format accommodates related secondary content, such as assigned metadata, abbreviated duplicate detection events, later-date transformations, and segmentation of large resources. The extension may also be useful for more general applications than web archiving. To aid the development of tools that are backwards compatible, WARC content is clearly distinguishable from pre-revision ARC content.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7586,"fairsharing_record_id":1504,"organisation_id":1530,"relation":"maintains","created_at":"2021-09-30T09:28:42.767Z","updated_at":"2021-09-30T09:28:42.767Z","grant_id":null,"is_lead":true,"saved_state":{"id":1530,"name":"International Standards Organisation (ISO) ISO/TC 46/SC 4 Technical interoperability","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10946,"fairsharing_record_id":1504,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:51:50.055Z","updated_at":"2023-09-27T14:51:50.055Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1505","type":"fairsharing_records","attributes":{"created_at":"2021-04-06T14:36:12.000Z","updated_at":"2022-07-20T12:30:07.925Z","metadata":{"doi":"10.25504/FAIRsharing.FxfF4o","name":"Back Pain Consortium Comorbidity Assessment Guidelines","status":"ready","contacts":[{"contact_name":"BACPAC Contact","contact_email":"BACPAC-NIH@mail.nih.gov"}],"homepage":"https://heal.nih.gov/research/clinical-research/back-pain","identifier":1505,"description":"This document includes recommendations for how comorbidities should be assessed in the clinic and via electronic health records. The document recommends ICD-10 codes to be used with the Charlson Comorbidity Index and adds a question regarding COVID diagnosis.","abbreviation":"BACPAC Comorbidity Assessment Guidelines"},"legacy_ids":["bsg-001606","bsg-s001606"],"name":"FAIRsharing record for: Back Pain Consortium Comorbidity Assessment Guidelines","abbreviation":"BACPAC Comorbidity Assessment Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.FxfF4o","doi":"10.25504/FAIRsharing.FxfF4o","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document includes recommendations for how comorbidities should be assessed in the clinic and via electronic health records. The document recommends ICD-10 codes to be used with the Charlson Comorbidity Index and adds a question regarding COVID diagnosis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Behavioural Biology","Biomedical Science","Pain Medicine"],"domains":["Behavior","Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7587,"fairsharing_record_id":1505,"organisation_id":650,"relation":"maintains","created_at":"2021-09-30T09:28:42.808Z","updated_at":"2021-09-30T09:28:42.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":650,"name":"Data Integration, Algorithm Development and Operations Management Center (DAC) for BACPAC, UNC Chapel Hill, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7588,"fairsharing_record_id":1505,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:42.851Z","updated_at":"2021-09-30T09:28:42.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1507","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:54.001Z","metadata":{"doi":"10.25504/FAIRsharing.q15f96","name":"CDISC Laboratory Data Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/data-exchange/lab","identifier":1507,"description":"LAB provides a standard model for the acquisition and exchange of laboratory data, primarily between labs and sponsors or CROs. The LAB standard was specifically designed for the interchange of lab data acquired in clinical trials.","abbreviation":"CDISC LAB"},"legacy_ids":["bsg-000165","bsg-s000165"],"name":"FAIRsharing record for: CDISC Laboratory Data Model","abbreviation":"CDISC LAB","url":"https://fairsharing.org/10.25504/FAIRsharing.q15f96","doi":"10.25504/FAIRsharing.q15f96","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LAB provides a standard model for the acquisition and exchange of laboratory data, primarily between labs and sponsors or CROs. The LAB standard was specifically designed for the interchange of lab data acquired in clinical trials.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11711},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11804},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11954},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12414}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Pharmacogenomics","Preclinical Studies"],"domains":["Data acquisition","Drug","Chemical entity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7595,"fairsharing_record_id":1507,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:43.165Z","updated_at":"2021-09-30T09:28:43.165Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7594,"fairsharing_record_id":1507,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:43.117Z","updated_at":"2021-09-30T09:28:43.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1508","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-09T10:08:23.759Z","metadata":{"doi":"10.25504/FAIRsharing.8h2a6z","name":"Article Minimum Information Standard","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"delphine.dauga@gmail.com"}],"homepage":"https://www.aniseed.fr/aniseed/default/submit_data?module=aniseed\u0026action=default:submit_data#tab-4","citations":[],"identifier":1508,"description":"To help authors ensure in the future that necessary information is present in their article, the Article Minimum Information Standard (AMIS) guidelines have been defined. The guideline describes the mandatory (and useful) information that should be mentioned in literature articles to facilitate the curation process. These guidelines extend the minimal information defined by the MISFISHIE format (Deutsch at al. 2008, Nature Biotechnology).","abbreviation":"AMIS","support_links":[{"url":"https://core.ac.uk/reader/289469","type":"Help documentation"},{"url":"aniseedteam@aniseed.fr","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-000109","bsg-s000109"],"name":"FAIRsharing record for: Article Minimum Information Standard","abbreviation":"AMIS","url":"https://fairsharing.org/10.25504/FAIRsharing.8h2a6z","doi":"10.25504/FAIRsharing.8h2a6z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To help authors ensure in the future that necessary information is present in their article, the Article Minimum Information Standard (AMIS) guidelines have been defined. The guideline describes the mandatory (and useful) information that should be mentioned in literature articles to facilitate the curation process. These guidelines extend the minimal information defined by the MISFISHIE format (Deutsch at al. 2008, Nature Biotechnology).","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11569},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11945}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Journal article"],"taxonomies":["All"],"user_defined_tags":["Publishing"],"countries":["France","United States"],"publications":[{"id":1014,"pubmed_id":20647237,"title":"The ANISEED database: digital representation, formalization, and elucidation of a chordate developmental program.","year":2010,"url":"http://doi.org/10.1101/gr.108175.110","authors":"Tassy O,Dauga D,Daian F,Sobral D,Lemaire P et al.","journal":"Genome Res","doi":"10.1101/gr.108175.110","created_at":"2021-09-30T08:24:12.272Z","updated_at":"2021-09-30T08:24:12.272Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2252,"relation":"undefined"}],"grants":[{"id":7597,"fairsharing_record_id":1508,"organisation_id":98,"relation":"maintains","created_at":"2021-09-30T09:28:43.220Z","updated_at":"2021-09-30T09:28:43.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":98,"name":"ANISEED Working Group","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7596,"fairsharing_record_id":1508,"organisation_id":945,"relation":"funds","created_at":"2021-09-30T09:28:43.195Z","updated_at":"2021-09-30T09:28:57.567Z","grant_id":31,"is_lead":false,"saved_state":{"id":945,"name":"European Network, Embryos against Cancer (EAC)","grant":"QLK3-CT-2001-01890","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1509","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:50.907Z","metadata":{"doi":"10.25504/FAIRsharing.54pw8x","name":"Platynereis Developmental STage","status":"deprecated","contacts":[{"contact_name":"Thorsten Heinrich","contact_email":"henrich@embl.de"}],"homepage":"http://www.obofoundry.org/ontology/pd_st.html","identifier":1509,"description":"Developmental stages of Platynereis.","abbreviation":"PD_ST","year_creation":2009,"cross_references":[{"url":"http://www.obofoundry.org/ontology/pdumdv.html","name":"pdumdv","portal":"OBO Foundry"}],"deprecation_date":"2015-04-10","deprecation_reason":"The OBO Foundry lists this ontology as deprecated."},"legacy_ids":["bsg-000013","bsg-s000013"],"name":"FAIRsharing record for: Platynereis Developmental STage","abbreviation":"PD_ST","url":"https://fairsharing.org/10.25504/FAIRsharing.54pw8x","doi":"10.25504/FAIRsharing.54pw8x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Developmental stages of Platynereis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Platynereis"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":48,"pubmed_id":21192805,"title":"The normal development of Platynereis dumerilii (Nereididae, Annelida).","year":2011,"url":"http://doi.org/10.1186/1742-9994-7-31","authors":"Fischer AH,Henrich T,Arendt D","journal":"Front Zool","doi":"10.1186/1742-9994-7-31","created_at":"2021-09-30T08:22:25.531Z","updated_at":"2021-09-30T08:22:25.531Z"}],"licence_links":[],"grants":[{"id":7599,"fairsharing_record_id":1509,"organisation_id":2277,"relation":"undefined","created_at":"2021-09-30T09:28:43.289Z","updated_at":"2021-09-30T09:28:43.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":2277,"name":"Osaka University, Japan","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":7600,"fairsharing_record_id":1509,"organisation_id":941,"relation":"undefined","created_at":"2021-09-30T09:28:43.322Z","updated_at":"2021-09-30T09:28:43.322Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1510","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:06.507Z","metadata":{"doi":"10.25504/FAIRsharing.kn0d5v","name":"Dendritic cell","status":"deprecated","contacts":[{"contact_name":"Lindsay Cowell","contact_email":"Lindsay.Cowell@utsouthwestern.edu","contact_orcid":"0000-0003-1617-8244"}],"homepage":"http://purl.bioontology.org/ontology/DC_CL","identifier":1510,"description":"\"Dendritic cell\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/DC_CL. This text was generated automatically. If you work on the project responsible for \"Dendritic cell\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"DC_CL","deprecation_date":"2015-04-06","deprecation_reason":"This ontology has been incorporated into the Cell Ontology, and the corresponding terms are maintained there. Please see https://www.biosharing.org/bsg-000009 instead."},"legacy_ids":["bsg-000021","bsg-s000021"],"name":"FAIRsharing record for: Dendritic cell","abbreviation":"DC_CL","url":"https://fairsharing.org/10.25504/FAIRsharing.kn0d5v","doi":"10.25504/FAIRsharing.kn0d5v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Dendritic cell\" is a standard, specialising in the fields described under \"scope and data types\", below. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/DC_CL. This text was generated automatically. If you work on the project responsible for \"Dendritic cell\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":["Annotation","Dendritic cell","Morphology"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1511","type":"fairsharing_records","attributes":{"created_at":"2020-09-16T12:22:45.000Z","updated_at":"2022-07-20T11:31:46.850Z","metadata":{"doi":"10.25504/FAIRsharing.058d2b","name":"Generic Earth Observation Metadata Standard","status":"ready","contacts":[{"contact_name":"Michael M. Yan","contact_email":"Michael.M.Yan@nasa.gov"}],"homepage":"https://avdc.gsfc.nasa.gov/index.php?site=1925698559","identifier":1511,"description":"The Generic Earth Observation Metadata Standard (GEOMS) is a generic metadata standard used for archiving data from ground based networks and for validating NASA and ESA satellite data. The standard aims to improve the portability and accessibility of geophysical datasets, and makes the contents of those datasets self-describing. Originally applicable to atmospheric and oceanographic datasets, it has expanded to support all measurements from Earth observation instruments. This standard describes the required metadata without requiring any particular format. However, implementations are available in HDF4, HDF5 or netCDF. Additional implementations in other formats can also be created as needed. Measurement-specific templates are available as various extensions of the GEOMS guidelines.","abbreviation":"GEOMS","support_links":[{"url":"https://avdc.gsfc.nasa.gov/index.php?site=1346863537","name":"GEOMS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/GEOMS_%E2%80%93_Generic_Earth_Observation_Metadata_Standard","name":"GEOMS Wikipedia Entry","type":"Wikipedia"}],"year_creation":2002},"legacy_ids":["bsg-001526","bsg-s001526"],"name":"FAIRsharing record for: Generic Earth Observation Metadata Standard","abbreviation":"GEOMS","url":"https://fairsharing.org/10.25504/FAIRsharing.058d2b","doi":"10.25504/FAIRsharing.058d2b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Generic Earth Observation Metadata Standard (GEOMS) is a generic metadata standard used for archiving data from ground based networks and for validating NASA and ESA satellite data. The standard aims to improve the portability and accessibility of geophysical datasets, and makes the contents of those datasets self-describing. Originally applicable to atmospheric and oceanographic datasets, it has expanded to support all measurements from Earth observation instruments. This standard describes the required metadata without requiring any particular format. However, implementations are available in HDF4, HDF5 or netCDF. Additional implementations in other formats can also be created as needed. Measurement-specific templates are available as various extensions of the GEOMS guidelines.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geophysics","Earth Science","Atmospheric Science","Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[],"licence_links":[],"grants":[{"id":7604,"fairsharing_record_id":1511,"organisation_id":2133,"relation":"maintains","created_at":"2021-09-30T09:28:43.446Z","updated_at":"2021-09-30T09:28:43.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":2133,"name":"Network for the Detection of Atmospheric Composition Change (NDACC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7602,"fairsharing_record_id":1511,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:28:43.387Z","updated_at":"2021-09-30T09:28:43.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9041,"fairsharing_record_id":1511,"organisation_id":957,"relation":"maintains","created_at":"2022-03-28T13:18:55.108Z","updated_at":"2022-03-28T13:18:55.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":957,"name":"European Space Agency","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1497","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-01T10:40:05.997Z","metadata":{"doi":"10.25504/FAIRsharing.53gp75","name":"Investigation Study Assay Tabular","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"isatools@googlegroups.com"}],"homepage":"https://isa-specs.readthedocs.io/en/latest/isatab.html","citations":[],"identifier":1497,"description":"Investigation Study Assay Tabular (ISA-Tab) describes the ISA Abstract Model reference implementation specified using the ISA-Tab format. ISA-Tab files are tab separated value (tsv) files, with specific labeled column structures. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","abbreviation":"ISA-Tab","support_links":[{"url":"http://isa-tools.org/blog/index.html","name":"ISA Blog","type":"Blog/News"},{"url":"https://groups.google.com/forum/#!forum/isaforum","name":"ISA Forum","type":"Forum"},{"url":"isatools@googlegroups.com","name":"ISA Tools Google Group","type":"Mailing list"},{"url":"http://isatab.sourceforge.net/docs/ISA-TAB_release-candidate-1_v1.0_24nov08.pdf","name":"Specification document 24 November 2008","type":"Help documentation"},{"url":"https://isa-specs.readthedocs.io/en/latest/isatab.html","name":"ISA-Tab format 1.0 (28 October 2016)","type":"Help documentation"},{"url":"https://github.com/ISA-tools/ISAdatasets/tree/master/tab","name":"Examples","type":"Github"},{"url":"https://twitter.com/isatools","name":"@isatools","type":"Twitter"}],"year_creation":2010,"associated_tools":[{"url":"http://www.isa-tools.org/tools.html","name":"ISA software Suite (create, edit, and manipulate ISA-tab files)"},{"url":"https://isa-tools.org/tag/phenomenal/index.html","name":"PhenoMeNal"},{"url":"https://github.com/ISA-tools/ISATab-Viewer","name":"ISA-Tab viewer"}]},"legacy_ids":["bsg-000078","bsg-s000078"],"name":"FAIRsharing record for: Investigation Study Assay Tabular","abbreviation":"ISA-Tab","url":"https://fairsharing.org/10.25504/FAIRsharing.53gp75","doi":"10.25504/FAIRsharing.53gp75","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Investigation Study Assay Tabular (ISA-Tab) describes the ISA Abstract Model reference implementation specified using the ISA-Tab format. ISA-Tab files are tab separated value (tsv) files, with specific labeled column structures. The ISA model consists of three core entities to capture experimental metadata: investigation, study and assay. The extensible, hierarchical structure of this model enables the representation of studies employing one or a combination of technologies, focusing on the description of its experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17367},{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17498},{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10910},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11019},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11137},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11188},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11259},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11311},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11859},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11884},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11918},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12143},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12194},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12391},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13355},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16035},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16935}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Genomics","Life Science"],"domains":["Expression data","Experimental measurement","Reagent","Report","Biological sample","Assay","Protocol","Device","DNA microarray","Study design","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":562,"pubmed_id":20679334,"title":"ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq415","authors":"Rocca-Serra P, Brandizi M, Maguire E, Sklyar N, Taylor C, Begley K, Field D, Harris S, Hide W, Hofmann O, Neumann S, Sterk P, Tong W, Sansone SA.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq415","created_at":"2021-09-30T08:23:21.460Z","updated_at":"2021-09-30T08:23:21.460Z"},{"id":601,"pubmed_id":23267176,"title":"OntoMaton: a bioportal powered ontology widget for Google Spreadsheets","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts718","authors":"Eamonn Maguire, Alejandra Gonzalez-Beltran, Trish Whetzel, Susanna-Assunta Sansone, Philippe Rocca-Serra","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts718","created_at":"2021-09-30T08:23:25.903Z","updated_at":"2021-09-30T08:23:25.903Z"},{"id":1973,"pubmed_id":23109552,"title":"MetaboLights--an open-access general-purpose repository for metabolomics studies and associated meta-data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1004","authors":"Haug K, Salek RM, Conesa P, Hastings J, de Matos P, Rijnbeek M, Mahendraker T, Williams M, Neumann S, Rocca-Serra P, Maguire E, González-Beltrán A, Sansone SA, Griffin JL, Steinbeck C.","journal":"Nucleic Acid Research","doi":"10.1093/nar/gks1004","created_at":"2021-09-30T08:26:02.024Z","updated_at":"2021-09-30T08:26:02.024Z"},{"id":3807,"pubmed_id":null,"title":"linkedISA: semantic representation of ISA-Tab experimental metadata","year":2014,"url":"http://dx.doi.org/10.1186/1471-2105-15-S14-S4","authors":"González-Beltrán, Alejandra; Maguire, Eamonn; Sansone, Susanna-Assunta; Rocca-Serra, Philippe; ","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-15-s14-s4","created_at":"2023-03-20T12:19:48.497Z","updated_at":"2023-03-20T12:19:48.497Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":609,"relation":"undefined"}],"grants":[{"id":7562,"fairsharing_record_id":1497,"organisation_id":1555,"relation":"maintains","created_at":"2021-09-30T09:28:41.923Z","updated_at":"2021-09-30T09:28:41.923Z","grant_id":null,"is_lead":false,"saved_state":{"id":1555,"name":"ISA-Tools, University of Oxford, Oxford, UK","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7565,"fairsharing_record_id":1497,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:42.046Z","updated_at":"2021-09-30T09:28:42.046Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8690,"fairsharing_record_id":1497,"organisation_id":3341,"relation":"associated_with","created_at":"2022-01-06T16:34:45.445Z","updated_at":"2022-01-06T16:34:45.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":3341,"name":"EMPHASIS","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":7564,"fairsharing_record_id":1497,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:28:42.007Z","updated_at":"2021-09-30T09:28:42.007Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7563,"fairsharing_record_id":1497,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:41.966Z","updated_at":"2021-09-30T09:28:41.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1496","type":"fairsharing_records","attributes":{"created_at":"2016-11-02T11:33:52.000Z","updated_at":"2021-11-24T13:18:48.498Z","metadata":{"doi":"10.25504/FAIRsharing.xbg0xd","name":"eXtensible Experiment Markup Language","status":"deprecated","contacts":[{"contact_email":"jaha@uvic.ca"}],"homepage":"http://xeml.codeplex.com/","identifier":1496,"description":"The eXtensible Experiment Markup Language (XEML) is a XML dialect. The language provides a flexible way to formulate experimental setups, encompassing information about environmental parameters in a continuous timeline, individual germplasm information, sampling structure and handling from specified plant material, sample data mapping to heterogeneous databases and general annotations.","abbreviation":"XEML","support_links":[{"url":"kenny.billiau@ki.se","name":"Kenny Billiau","type":"Support email"}],"year_creation":2009,"associated_tools":[{"url":"http://gmd.mpimp-golm.mpg.de/apps/XemlDesigner/","name":"XEML Interactive Designer"}],"deprecation_date":"2020-02-04","deprecation_reason":"The project homepage no longer exists, and we cannot find a current project site. Please get in touch if you have any additional information."},"legacy_ids":["bsg-000686","bsg-s000686"],"name":"FAIRsharing record for: eXtensible Experiment Markup Language","abbreviation":"XEML","url":"https://fairsharing.org/10.25504/FAIRsharing.xbg0xd","doi":"10.25504/FAIRsharing.xbg0xd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eXtensible Experiment Markup Language (XEML) is a XML dialect. The language provides a flexible way to formulate experimental setups, encompassing information about environmental parameters in a continuous timeline, individual germplasm information, sampling structure and handling from specified plant material, sample data mapping to heterogeneous databases and general annotations.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10921}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Canada","France","Germany","Netherlands"],"publications":[{"id":1759,"pubmed_id":19236607,"title":"Xeml Lab: a tool that supports the design of experiments at a graphical interface and generates computer-readable metadata files, which capture information about genotypes, growth conditions, environmental perturbations and sampling strategy.","year":2009,"url":"http://doi.org/10.1111/j.1365-3040.2009.01964.x","authors":"Hannemann J,Poorter H,Usadel B,Blasing OE,Finck A,Tardieu F,Atkin OK,Pons T,Stitt M,Gibon Y","journal":"Plant Cell Environ","doi":"10.1111/j.1365-3040.2009.01964.x","created_at":"2021-09-30T08:25:37.380Z","updated_at":"2021-09-30T08:25:37.380Z"}],"licence_links":[],"grants":[{"id":7561,"fairsharing_record_id":1496,"organisation_id":3145,"relation":"maintains","created_at":"2021-09-30T09:28:41.893Z","updated_at":"2021-09-30T09:28:41.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":3145,"name":"University of Victoria","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1506","type":"fairsharing_records","attributes":{"created_at":"2021-03-19T11:54:03.000Z","updated_at":"2022-07-20T12:50:18.083Z","metadata":{"doi":"10.25504/FAIRsharing.ioEYS5","name":"ATMODAT Standard (v3.0)","status":"ready","contacts":[{"contact_name":"Angelika Heil","contact_email":"heil@dkrz.de","contact_orcid":"0000-0002-8768-5027"}],"homepage":"https://doi.org/10.35095/WDCC/atmodat_standard_en_v3_0","citations":[{"publication_id":2197}],"identifier":1506,"description":"Within the AtMoDat project (Atmospheric Model Data), a standard has been developed which is meant for improving the FAIRness of atmospheric model data published in repositories. The ATMODAT standard includes concrete recommendations related to the maturity, publication and enhanced FAIRness of atmospheric model data. The suggestions include requirements for rich metadata with controlled vocabularies, structured landing pages, file formats (netCDF) and the structure within files. Human- and machine readable landing pages are a core element of this standard, and should hold and present discipline-specific metadata on simulation and variable level.","abbreviation":null,"support_links":[{"url":"info@atmodat.de","name":"contact AtMoDat","type":"Support email"}],"year_creation":2020,"associated_tools":[{"url":"https://github.com/AtMoDat/atmodat_data_checker","name":"atmodat data checker 1.0"}]},"legacy_ids":["bsg-001598","bsg-s001598"],"name":"FAIRsharing record for: ATMODAT Standard (v3.0)","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ioEYS5","doi":"10.25504/FAIRsharing.ioEYS5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Within the AtMoDat project (Atmospheric Model Data), a standard has been developed which is meant for improving the FAIRness of atmospheric model data published in repositories. The ATMODAT standard includes concrete recommendations related to the maturity, publication and enhanced FAIRness of atmospheric model data. The suggestions include requirements for rich metadata with controlled vocabularies, structured landing pages, file formats (netCDF) and the structure within files. Human- and machine readable landing pages are a core element of this standard, and should hold and present discipline-specific metadata on simulation and variable level.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Earth Science","Atmospheric Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2197,"pubmed_id":null,"title":"ATMODAT Standard (v3.0)","year":2021,"url":"https://doi.org/10.35095/WDCC/atmodat_standard_en_v3_0","authors":"Ganske, Anette; Kraft, Angelina; Kaiser, Amandine; Heydebreck, Daniel; Lammert, Andrea; Höck, Heinke; Thiemann, Hannes; Voss, Vivien; Grawe, David; Leitl, Bernd; Schlünzen, K. Heinke; Kretzschmar, Jan; Quaas, Johannes","journal":"WDCC","doi":null,"created_at":"2021-09-30T08:26:27.647Z","updated_at":"2021-09-30T08:26:27.647Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":56,"relation":"undefined"}],"grants":[{"id":7590,"fairsharing_record_id":1506,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:28:42.959Z","updated_at":"2021-09-30T09:29:08.527Z","grant_id":111,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"16QK02A","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9040,"fairsharing_record_id":1506,"organisation_id":3079,"relation":"maintains","created_at":"2022-03-28T13:10:26.494Z","updated_at":"2022-03-28T13:10:26.494Z","grant_id":null,"is_lead":false,"saved_state":{"id":3079,"name":"University of Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7589,"fairsharing_record_id":1506,"organisation_id":1140,"relation":"maintains","created_at":"2021-09-30T09:28:42.878Z","updated_at":"2021-09-30T09:28:42.878Z","grant_id":null,"is_lead":false,"saved_state":{"id":1140,"name":"German National Library of Science and Technology (TIB), Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7592,"fairsharing_record_id":1506,"organisation_id":2973,"relation":"maintains","created_at":"2021-09-30T09:28:43.038Z","updated_at":"2021-09-30T09:28:43.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":2973,"name":"Universitat Hamburg, Hamburg, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9043,"fairsharing_record_id":1506,"organisation_id":1136,"relation":"maintains","created_at":"2022-03-28T13:27:36.867Z","updated_at":"2022-03-28T13:27:36.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1136,"name":"German Climate Computing Center, Hamburg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1517","type":"fairsharing_records","attributes":{"created_at":"2016-04-12T14:55:01.000Z","updated_at":"2022-07-20T10:57:24.658Z","metadata":{"doi":"10.25504/FAIRsharing.szrmev","name":"CDISC Controlled Terminology","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/terminology","citations":[],"identifier":1517,"description":"CDISC Controlled Terminology is the set of codelists and valid values used with data items within CDISC-defined datasets. Controlled Terminology provides the values required for submission to FDA and PMDA in CDISC-compliant datasets. Controlled Terminology does not tell you WHAT to collect; it tells you IF you collected a particular data item, how you should submit it in your electronic dataset.","abbreviation":"CDISC CT","support_links":[{"url":"https://www.cdisc.org/education/course/controlled-terminology-0","name":"Controlled Terminology","type":"Training documentation"}],"associated_tools":[{"url":"https://github.com/NCIEVS/nci-diff-cdisc","name":"NCI diff Tool for CDISC Terminology reports"},{"url":"https://ncitermform.nci.nih.gov/ncitermform/?version=cdisc","name":"NCI-EVS term request tracker"}]},"legacy_ids":["bsg-000645","bsg-s000645"],"name":"FAIRsharing record for: CDISC Controlled Terminology","abbreviation":"CDISC CT","url":"https://fairsharing.org/10.25504/FAIRsharing.szrmev","doi":"10.25504/FAIRsharing.szrmev","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDISC Controlled Terminology is the set of codelists and valid values used with data items within CDISC-defined datasets. Controlled Terminology provides the values required for submission to FDA and PMDA in CDISC-compliant datasets. Controlled Terminology does not tell you WHAT to collect; it tells you IF you collected a particular data item, how you should submit it in your electronic dataset.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17394},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11040},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11812},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12075},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12495}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7613,"fairsharing_record_id":1517,"organisation_id":2952,"relation":"undefined","created_at":"2021-09-30T09:28:43.729Z","updated_at":"2021-09-30T09:28:43.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":7616,"fairsharing_record_id":1517,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:28:43.812Z","updated_at":"2021-09-30T09:28:43.812Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7612,"fairsharing_record_id":1517,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:43.698Z","updated_at":"2021-09-30T09:28:43.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7614,"fairsharing_record_id":1517,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:43.758Z","updated_at":"2021-09-30T09:28:43.758Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7615,"fairsharing_record_id":1517,"organisation_id":2313,"relation":"undefined","created_at":"2021-09-30T09:28:43.788Z","updated_at":"2021-09-30T09:28:43.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":2313,"name":"Pharmaceuticals and Medical Devices Agency (Japan)","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1188","type":"fairsharing_records","attributes":{"created_at":"2020-01-23T12:46:28.000Z","updated_at":"2024-06-11T10:26:56.500Z","metadata":{"doi":"10.25504/FAIRsharing.97805c","name":"International Classification of Diseases Version 11","status":"ready","contacts":[{"contact_name":"ICD 11 Helpdesk","contact_email":"icd11@who.int"}],"homepage":"https://icd.who.int/en","citations":[],"identifier":1188,"description":"The International Classification of Diseases (ICD) was created to allow the recording, reporting and grouping of conditions and factors that influence health. It contains categories for diseases, health related conditions, and external causes of illness or death. The purpose of the ICD is to allow the systematic recording, analysis, interpretation and comparison of mortality and morbidity data collected in different countries or areas and at different times. The ICD is used to translate diagnoses of diseases and other health problems into an alphanumeric code, which allows storage, retrieval, and analysis of the data. The ICD has become the international standard diagnostic classification for all general epidemiological and many health management purposes. ICD-11 was released in 2018 to allow Member States to prepare for implementation, including translating ICD into their national languages. Member States will start reporting using ICD-11 on 1 January 2022.","abbreviation":"ICD 11","support_links":[{"url":"https://www.who.int/classifications/classification-of-diseases","name":"ICD 11 Classification Information","type":"Help documentation"},{"url":"https://icd.who.int/icd11refguide/en/index.html?r","name":"ICD 11 Reference Guide","type":"Help documentation"},{"url":"https://icd.who.int/en/docs/icd11factsheet_en.pdf","name":"ICD 11 Fact Sheet","type":"Help documentation"},{"url":"https://icd.who.int/docs/ICD-11%20Implementation%20or%20Transition%20Guide_v105.pdf","name":"ICD 11 Implementation or Transition Guide","type":"Help documentation"}],"year_creation":2018,"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010799","name":"re3data:r3d100010799","portal":"re3data"}]},"legacy_ids":["bsg-001436","bsg-s001436"],"name":"FAIRsharing record for: International Classification of Diseases Version 11","abbreviation":"ICD 11","url":"https://fairsharing.org/10.25504/FAIRsharing.97805c","doi":"10.25504/FAIRsharing.97805c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Classification of Diseases (ICD) was created to allow the recording, reporting and grouping of conditions and factors that influence health. It contains categories for diseases, health related conditions, and external causes of illness or death. The purpose of the ICD is to allow the systematic recording, analysis, interpretation and comparison of mortality and morbidity data collected in different countries or areas and at different times. The ICD is used to translate diagnoses of diseases and other health problems into an alphanumeric code, which allows storage, retrieval, and analysis of the data. The ICD has become the international standard diagnostic classification for all general epidemiological and many health management purposes. ICD-11 was released in 2018 to allow Member States to prepare for implementation, including translating ICD into their national languages. Member States will start reporting using ICD-11 on 1 January 2022.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17333},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12129},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12236},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12551},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16981}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":["Electronic health record","Disease","Diagnosis","Morbidity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO)","licence_id":184,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/igo/","link_id":1675,"relation":"undefined"},{"licence_name":"WHO Permission Form for Commercial Use","licence_id":862,"licence_url":"http://www.who.int/about/licensing/copyright_form/en/","link_id":1685,"relation":"undefined"}],"grants":[{"id":6945,"fairsharing_record_id":1188,"organisation_id":3252,"relation":"funds","created_at":"2021-09-30T09:28:19.929Z","updated_at":"2021-09-30T09:28:19.929Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6944,"fairsharing_record_id":1188,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:28:19.893Z","updated_at":"2021-09-30T09:28:19.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1189","type":"fairsharing_records","attributes":{"created_at":"2015-06-10T13:48:46.000Z","updated_at":"2021-11-24T13:17:37.071Z","metadata":{"doi":"10.25504/FAIRsharing.2vsmz5","name":"Ocean Biogeographic Information System Schema","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"info@iobis.org"}],"homepage":"http://www.iobis.org/data/schema-and-metadata","identifier":1189,"description":"The OBIS schema is a list of data fields with names, descriptions, and format notes. The Ocean Biogeographic information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans.","abbreviation":"OBIS Schema","support_links":[{"url":"http://www.iobis.org/node/179","type":"Contact form"},{"url":"http://www.iobis.org/node/305","type":"Help documentation"},{"url":"http://www.iobis.org/node/304","type":"Help documentation"}],"deprecation_date":"2016-04-20","deprecation_reason":"This resource is no longer active. OBIS has moved entirely to the Dublin Core rather than the OBIS schema. Please see the FAIRsharing record for DwC instead (https://FAIRsharing.org/bsg-000195)."},"legacy_ids":["bsg-000595","bsg-s000595"],"name":"FAIRsharing record for: Ocean Biogeographic Information System Schema","abbreviation":"OBIS Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.2vsmz5","doi":"10.25504/FAIRsharing.2vsmz5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OBIS schema is a list of data fields with names, descriptions, and format notes. The Ocean Biogeographic information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Oceanography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":6946,"fairsharing_record_id":1189,"organisation_id":1468,"relation":"maintains","created_at":"2021-09-30T09:28:20.011Z","updated_at":"2021-09-30T09:28:20.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1468,"name":"Intergovernmental Oceanographic Commission of UNESCO (IOC-UNESCO), Paris, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1190","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:40.000Z","updated_at":"2022-07-20T12:48:57.480Z","metadata":{"doi":"10.25504/FAIRsharing.cc3f2x","name":"Ontology of Microbial Phenotypes","status":"ready","contacts":[{"contact_name":"James C. Hu","contact_email":"jimhu@tamu.edu"}],"homepage":"https://microbialphenotypes.org","citations":[{"doi":"10.1186/s12866-014-0294-3","pubmed_id":25433798,"publication_id":2058}],"identifier":1190,"description":"The Ontology of Microbial Phenotypes (OMP) is a community ontology for annotating microbial phenotypes, including bacteria, archaea, protists, fungi, and viruses. It has been created to help with standardized capture of essential phenotypic information. OMP is designed to be compatible with other microbial phenotype ontologies, such as the Fission Yeast Phenotype Ontology (FYPO) and the Ascomycete Phenotype Ontology (APO), and aims to standardize the capture of phenotypic information to allow improved cross-species data mining and analysis.","abbreviation":"OMP","support_links":[{"url":"https://github.com/microbialphenotypes/OMP-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/microbialphenotypes/OMP-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2014,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OMP","name":"OMP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/omp.html","name":"omp","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001069","bsg-s001069"],"name":"FAIRsharing record for: Ontology of Microbial Phenotypes","abbreviation":"OMP","url":"https://fairsharing.org/10.25504/FAIRsharing.cc3f2x","doi":"10.25504/FAIRsharing.cc3f2x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Microbial Phenotypes (OMP) is a community ontology for annotating microbial phenotypes, including bacteria, archaea, protists, fungi, and viruses. It has been created to help with standardized capture of essential phenotypic information. OMP is designed to be compatible with other microbial phenotype ontologies, such as the Fission Yeast Phenotype Ontology (FYPO) and the Ascomycete Phenotype Ontology (APO), and aims to standardize the capture of phenotypic information to allow improved cross-species data mining and analysis.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12123}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Microbiology","Biology"],"domains":["Phenotype"],"taxonomies":["Archaea","Bacteria","Fungi","Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2058,"pubmed_id":25433798,"title":"An ontology for microbial phenotypes.","year":2014,"url":"http://doi.org/10.1186/s12866-014-0294-3","authors":"Chibucos MC,Zweifel AE,Herrera JC,Meza W,Eslamfam S,Uetz P,Siegele DA,Hu JC,Giglio MG","journal":"BMC Microbiol","doi":"10.1186/s12866-014-0294-3","created_at":"2021-09-30T08:26:11.924Z","updated_at":"2021-09-30T08:26:11.924Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1398,"relation":"undefined"}],"grants":[{"id":6948,"fairsharing_record_id":1190,"organisation_id":726,"relation":"maintains","created_at":"2021-09-30T09:28:20.094Z","updated_at":"2021-09-30T09:28:20.094Z","grant_id":null,"is_lead":true,"saved_state":{"id":726,"name":"Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6947,"fairsharing_record_id":1190,"organisation_id":3187,"relation":"maintains","created_at":"2021-09-30T09:28:20.051Z","updated_at":"2021-09-30T09:28:20.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":3187,"name":"Virginia Commonwealth University, Richmond, VA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6949,"fairsharing_record_id":1190,"organisation_id":677,"relation":"maintains","created_at":"2021-09-30T09:28:20.132Z","updated_at":"2021-09-30T09:28:20.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":677,"name":"Department of Biology, Texas A\u0026, M University, College Station, TX, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6950,"fairsharing_record_id":1190,"organisation_id":1381,"relation":"maintains","created_at":"2021-09-30T09:28:20.169Z","updated_at":"2021-09-30T09:28:20.169Z","grant_id":null,"is_lead":true,"saved_state":{"id":1381,"name":"Institute for Genome Sciences, University of Maryland, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1191","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-07-20T09:31:40.810Z","metadata":{"doi":"10.25504/FAIRsharing.c0bvcy","name":"Semantic Sensor Network Ontology","status":"ready","contacts":[{"contact_name":"Spatial Data on the Web Working Group","contact_email":"public-sdw-comments@w3.org"}],"homepage":"https://www.w3.org/TR/vocab-ssn/","citations":[{"doi":"10.3233/SW-180320","pubmed_id":null,"publication_id":3329}],"identifier":1191,"description":"The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN (http://www.w3.org/ns/ssn/) and SOSA (http://www.w3.org/ns/sosa/) are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. ","abbreviation":"SSN","support_links":[{"url":"https://www.ogc.org/contacts","name":"Feedback and Contact Form","type":"Contact form"},{"url":"http://ogc.standardstracker.org/","name":"Submit Change Request / Requirement / Comment","type":"Forum"},{"url":"https://github.com/w3c/sdw","type":"Github"},{"url":"https://github.com/w3c/sdw/issues","name":"Submit an issue","type":"Github"}],"year_creation":2017,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SSN","name":"BioPortal:SSN","portal":"BioPortal"},{"url":"http://agroportal.lirmm.fr/ontologies/SSN","name":"Agroportal:SSN","portal":"AgroPortal"}]},"legacy_ids":["bsg-000777","bsg-s000777"],"name":"FAIRsharing record for: Semantic Sensor Network Ontology","abbreviation":"SSN","url":"https://fairsharing.org/10.25504/FAIRsharing.c0bvcy","doi":"10.25504/FAIRsharing.c0bvcy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN (http://www.w3.org/ns/ssn/) and SOSA (http://www.w3.org/ns/sosa/) are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Remote Sensing"],"domains":["Resource metadata","Imaging","Monitoring"],"taxonomies":["All"],"user_defined_tags":["Sensor data","Web of Things","ontology"],"countries":["Australia","France","Germany","United States"],"publications":[{"id":3315,"pubmed_id":null,"title":"The SSN ontology of the W3C semantic sensor network incubator group","year":2012,"url":"http://dx.doi.org/10.1016/j.websem.2012.05.003","authors":"Compton, Michael; Barnaghi, Payam; Bermudez, Luis; García-Castro, Raúl; Corcho, Oscar; Cox, Simon; Graybeal, John; Hauswirth, Manfred; Henson, Cory; Herzog, Arthur; Huang, Vincent; Janowicz, Krzysztof; Kelsey, W. David; Le Phuoc, Danh; Lefort, Laurent; Leggieri, Myriam; Neuhaus, Holger; Nikolov, Andriy; Page, Kevin; Passant, Alexandre; Sheth, Amit; Taylor, Kerry; ","journal":"Journal of Web Semantics","doi":"10.1016/j.websem.2012.05.003","created_at":"2022-04-18T23:18:24.942Z","updated_at":"2022-04-18T23:18:24.942Z"},{"id":3329,"pubmed_id":null,"title":"The Modular SSN Ontology: A Joint W3C and OGC Standard Specifying the Semantics of Sensors, Observations, Sampling, and Actuation","year":2019,"url":"http://www.semantic-web-journal.net/content/modular-ssn-ontology-joint-w3c-and-ogc-standard-specifying-semantics-sensors-observations","authors":"A Haller, K Janowicz, S J D Cox, M LeFrancois, K Taylor, D Le Phuoc, J Lieberman, R Garcia Castro, R A Atkinson, C Stadler","journal":"Semantic Web","doi":"10.3233/SW-180320","created_at":"2022-04-20T06:41:01.631Z","updated_at":"2022-04-20T06:41:01.631Z"},{"id":3330,"pubmed_id":null,"title":"SOSA: A lightweight ontology for sensors, observations, samples, and actuators","year":2018,"url":"https://www.sciencedirect.com/science/article/pii/S1570826818300295?via%3Dihub","authors":"Janowicz, Krzysztof; Haller, Armin; Cox, Simon J.D.; Le Phuoc, Danh; Lefrançois, Maxime; ","journal":"Journal of Web Semantics","doi":"10.1016/J.WEBSEM.2018.06.003","created_at":"2022-04-20T06:43:24.934Z","updated_at":"2022-04-20T06:43:24.934Z"}],"licence_links":[],"grants":[{"id":6951,"fairsharing_record_id":1191,"organisation_id":3203,"relation":"maintains","created_at":"2021-09-30T09:28:20.208Z","updated_at":"2021-09-30T09:28:20.208Z","grant_id":null,"is_lead":true,"saved_state":{"id":3203,"name":"W3C/OGC Spatial Data on the Web Working Group","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6952,"fairsharing_record_id":1191,"organisation_id":568,"relation":"maintains","created_at":"2021-09-30T09:28:20.239Z","updated_at":"2021-09-30T09:28:20.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1192","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T13:49:42.000Z","updated_at":"2023-03-23T14:53:26.923Z","metadata":{"doi":"10.25504/FAIRsharing.jbg4kp","name":"Minimum Information Required for a Drug Metabolism Enzymes and Transporters Experiment","status":"deprecated","contacts":[{"contact_name":"Judit Kumuthini","contact_email":"jkumuthini@gmail.com"}],"homepage":"http://bioweb.cpgr.org.za/mide/mide.doc","citations":[],"identifier":1192,"description":"Pharmacogenomics studies are expanding exponentially, both in terms of number and amount of data generated. To facilitate future research and diagnostic applications, Affymetrix has developed a microarray targeting known genetic variations in absorption, distribution, metabolism, excretion, toxicity (ADMET) genes. The array, known as Drug Metabolising Enzymes and Transporters (DMET Plus), comprises 1,936 variants across 231genes, including 5 copy number loci involved in drug metabolism and transport. Being designed to identify genetic variants in patients presenting different drug responses and risks for adverse drug reactions, DMET constitutes a valuable tool for pharmacogenomics and clinical studies. For effective DMET data interpretation, sharing, reporting and use across the scientific community, we propose the Minimum Information required for a DMET Experiment reporting (MIDE). MIDE aims to provide reporting guidelines and describe the information required for reporting to public databases. In this article we describe MIDE and discuss its broader applications to other platforms.","abbreviation":"MIDE","support_links":[{"url":"http://www.ktp.cpgr.org.za","type":"Help documentation"}],"year_creation":2011,"deprecation_date":"2023-03-23","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000628","bsg-s000628"],"name":"FAIRsharing record for: Minimum Information Required for a Drug Metabolism Enzymes and Transporters Experiment","abbreviation":"MIDE","url":"https://fairsharing.org/10.25504/FAIRsharing.jbg4kp","doi":"10.25504/FAIRsharing.jbg4kp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pharmacogenomics studies are expanding exponentially, both in terms of number and amount of data generated. To facilitate future research and diagnostic applications, Affymetrix has developed a microarray targeting known genetic variations in absorption, distribution, metabolism, excretion, toxicity (ADMET) genes. The array, known as Drug Metabolising Enzymes and Transporters (DMET Plus), comprises 1,936 variants across 231genes, including 5 copy number loci involved in drug metabolism and transport. Being designed to identify genetic variants in patients presenting different drug responses and risks for adverse drug reactions, DMET constitutes a valuable tool for pharmacogenomics and clinical studies. For effective DMET data interpretation, sharing, reporting and use across the scientific community, we propose the Minimum Information required for a DMET Experiment reporting (MIDE). MIDE aims to provide reporting guidelines and describe the information required for reporting to public databases. In this article we describe MIDE and discuss its broader applications to other platforms.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11598},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11726},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12042},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12477}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Drug Discovery","Pharmacogenomics","Biomedical Science"],"domains":["Gene report","Drug report","Drug metabolic process"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":2018,"pubmed_id":27548815,"title":"Minimum information required for a DMET experiment reporting","year":2016,"url":"http://doi.org/10.2217/pgs-2016-0015","authors":"Judit Kumuthini*, Mamana Mbiyavanga, Emile R Chimusa, Jyotishman Pathak, Panu Somervuo, Ron HN Van Schaik, Vita Dolzan, Clint Mizzi, Kusha Kalideen, Raj S Ramesar, Milan Macek, George P Patrinos, \u0026 Alessio Squassina","journal":"Pharmacogenomics","doi":"10.2217/pgs-2016-0015","created_at":"2021-09-30T08:26:07.347Z","updated_at":"2021-09-30T08:26:07.347Z"}],"licence_links":[],"grants":[{"id":6953,"fairsharing_record_id":1192,"organisation_id":468,"relation":"maintains","created_at":"2021-09-30T09:28:20.268Z","updated_at":"2021-09-30T09:28:20.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":468,"name":"Centre for Proteomic and Genomic Research (CPGR), Cape Town, South Africa","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6955,"fairsharing_record_id":1192,"organisation_id":1275,"relation":"funds","created_at":"2021-09-30T09:28:20.352Z","updated_at":"2021-09-30T09:28:20.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1275,"name":"Human Heredity and Health in Africa (H3Africa) Initiative, National Institutes of Health, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6954,"fairsharing_record_id":1192,"organisation_id":1207,"relation":"funds","created_at":"2021-09-30T09:28:20.311Z","updated_at":"2021-09-30T09:32:33.063Z","grant_id":1670,"is_lead":false,"saved_state":{"id":1207,"name":"H3ABioNet","grant":"NIH Common Fund Award /NHGRI Grant Number U41HG006941 through H3AbioNet project","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1193","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:45.342Z","metadata":{"doi":"10.25504/FAIRsharing.qs4x5m","name":"Microarray and Gene Expression Data Ontology","status":"deprecated","contacts":[{"contact_name":"Chris Stoeckert","contact_email":"stoeckrt@pcbi.upenn.edu","contact_orcid":"0000-0002-5714-991X"}],"homepage":"http://mged.sourceforge.net/ontologies/MGEDontology.php","identifier":1193,"description":"The MGED Ontology is a top level container for the MGEDCoreOntology and the MGEDExtendedOntology. The MGED ontology describes microarray experiments and is split into the MGEDCoreOntology, which supports MAGE-OM v1.0 and is organized consistently with MAGE, and the MGEDExtendedOntology, which expands MAGE v1.0 and contains concepts and relationships which are not included in MAGE. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/MO. If you work on the project responsible for \"MGED Ontology\" then please consider helping us by claiming this record and updating it appropriately.","abbreviation":"MO","year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MO","name":"MO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mo.html","name":"mo","portal":"OBO Foundry"}],"deprecation_date":"2016-02-25","deprecation_reason":"This resource has been integrated into the Ontology for Biomedical Investigations and is no longer maintained."},"legacy_ids":["bsg-000067","bsg-s000067"],"name":"FAIRsharing record for: Microarray and Gene Expression Data Ontology","abbreviation":"MO","url":"https://fairsharing.org/10.25504/FAIRsharing.qs4x5m","doi":"10.25504/FAIRsharing.qs4x5m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MGED Ontology is a top level container for the MGEDCoreOntology and the MGEDExtendedOntology. The MGED ontology describes microarray experiments and is split into the MGEDCoreOntology, which supports MAGE-OM v1.0 and is organized consistently with MAGE, and the MGEDExtendedOntology, which expands MAGE v1.0 and contains concepts and relationships which are not included in MAGE. Until this entry is claimed, more information on this project can be found at http://purl.bioontology.org/ontology/MO. If you work on the project responsible for \"MGED Ontology\" then please consider helping us by claiming this record and updating it appropriately.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12090}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Expression data","Assay","DNA microarray","Transcript"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":7,"pubmed_id":16428806,"title":"The MGED Ontology: a resource for semantics-based description of microarray experiments.","year":2006,"url":"http://doi.org/10.1093/bioinformatics/btl005","authors":"Whetzel PL, Parkinson H, Causton HC, Fan L, Fostel J, Fragoso G, Game L, Heiskanen M, Morrison N, Rocca-Serra P, Sansone SA, Taylor C, White J, Stoeckert CJ Jr","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl005","created_at":"2021-09-30T08:22:21.289Z","updated_at":"2021-09-30T08:22:21.289Z"}],"licence_links":[],"grants":[{"id":6957,"fairsharing_record_id":1193,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:28:20.582Z","updated_at":"2021-09-30T09:28:20.582Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":6956,"fairsharing_record_id":1193,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:20.545Z","updated_at":"2021-09-30T09:28:54.626Z","grant_id":11,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"273-02-C-0027","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8269,"fairsharing_record_id":1193,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:50.874Z","updated_at":"2021-09-30T09:31:50.937Z","grant_id":1354,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1P41HG003619","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6959,"fairsharing_record_id":1193,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:20.638Z","updated_at":"2021-09-30T09:28:20.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1166","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-14T15:12:49.406Z","metadata":{"doi":"10.25504/FAIRsharing.nwgynk","name":"eagle-i Research Resource Ontology","status":"deprecated","contacts":[{"contact_name":"Carlo Torniai","contact_email":"carlotorniai@gmail.com","contact_orcid":"0000-0002-3734-1859"}],"homepage":"https://open.catalyst.harvard.edu/wiki/display/eaglei/Ontology","citations":[],"identifier":1166,"description":"A unique feature of the eagle-i software is that the data collection and search tools are completely driven by ontologies. These ontologies are a set of modules that are written in the OWL language and edited and managed using Protégé. Beginning in 2009, the eagle-i Research Resource Ontology (ERO) was developed alongside the eagle-i applications to model various biomedical research resources such as instruments, Core Facilities, protocols, reagents, animal models and biospecimens. It has now been integrated into the VIVO-ISF Ontology, which leverages and expands upon both the eagle-i and VIVO ontologies to create a semantic framework that describes not only scientific resources but research activities and clinical activities.","abbreviation":"ERO","support_links":[{"url":"info@eagle-i.org","name":"General enquiries","type":"Support email"},{"url":"https://open.med.harvard.edu/mailman/listinfo/eagle-i-admins","name":"Eagle-i-admins","type":"Mailing list"},{"url":"https://open.med.harvard.edu/mailman/listinfo/shrine-users","name":"Shrine-users","type":"Mailing list"},{"url":"https://docs.google.com/document/d/1Radat4PqKJuWktxJ3RgxWp_osfW07RZ6-EBVLG8YAsw/edit","type":"Help documentation"},{"url":"https://open.med.harvard.edu/wiki/display/eaglei/Training","type":"Training documentation"}],"year_creation":2009,"associated_tools":[{"url":"https://open.med.harvard.edu/wiki/display/eaglei/Software+downloads","name":"Eagle-i software"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ERO","name":"ERO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ero.html","name":"ero","portal":"OBO Foundry"}],"deprecation_date":"2023-09-14","deprecation_reason":"The eagle-i software and associated ontology is still available to the open-source community, but is no longer supported or maintained. The eagle-i National Network and eagle-i resource search was retired on November 4, 2021. For more information, please see https://open.catalyst.harvard.edu/products/eagle-i/"},"legacy_ids":["bsg-002790","bsg-s002790"],"name":"FAIRsharing record for: eagle-i Research Resource Ontology","abbreviation":"ERO","url":"https://fairsharing.org/10.25504/FAIRsharing.nwgynk","doi":"10.25504/FAIRsharing.nwgynk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A unique feature of the eagle-i software is that the data collection and search tools are completely driven by ontologies. These ontologies are a set of modules that are written in the OWL language and edited and managed using Protégé. Beginning in 2009, the eagle-i Research Resource Ontology (ERO) was developed alongside the eagle-i applications to model various biomedical research resources such as instruments, Core Facilities, protocols, reagents, animal models and biospecimens. It has now been integrated into the VIVO-ISF Ontology, which leverages and expands upon both the eagle-i and VIVO ontologies to create a semantic framework that describes not only scientific resources but research activities and clinical activities.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10882}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Reagent","Biological sample","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":194,"pubmed_id":29599662,"title":"Automating data citation: the eagle-i experience.","year":2018,"url":"http://doi.org/10.1109/JCDL.2017.7991571","authors":"Alawini A,Chen L,Davidson SB,Da Silva NP,Silvello G","journal":"Proc ACM/IEEE Joint Conf Digit Libr","doi":"10.1109/JCDL.2017.7991571","created_at":"2021-09-30T08:22:41.206Z","updated_at":"2021-09-30T08:22:41.206Z"},{"id":742,"pubmed_id":22434835,"title":"Research resources: curating the new eagle-i discovery system.","year":2012,"url":"http://doi.org/10.1093/database/bar067","authors":"Vasilevsky N,Johnson T,Corday K,Torniai C,Brush M,Segerdell E,Wilson M,Shaffer C,Robinson D,Haendel M","journal":"Database (Oxford)","doi":"10.1093/database/bar067","created_at":"2021-09-30T08:23:41.711Z","updated_at":"2021-09-30T08:23:41.711Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1581,"relation":"undefined"}],"grants":[{"id":6913,"fairsharing_record_id":1166,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:28:18.693Z","updated_at":"2021-09-30T09:28:18.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1167","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:27.977Z","metadata":{"doi":"10.25504/FAIRsharing.jjb2p2","name":"Vital Sign Ontology","status":"uncertain","contacts":[{"contact_name":"Albert Goldfain","contact_email":"albertgoldfain@gmail.com"}],"homepage":"https://code.google.com/p/vital-sign-ontology/","identifier":1167,"description":"The Vital Sign Ontology (VSO) is an extension of the Ontology for General Medical Science (OGMS). VSO covers the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. VSO provides also a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.","abbreviation":"VSO","support_links":[{"url":"http://ontology.buffalo.edu/smith/articles/Vital_Sign_Ontology.pdf","type":"Help documentation"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VSO","name":"VSO","portal":"BioPortal"}]},"legacy_ids":["bsg-002834","bsg-s002834"],"name":"FAIRsharing record for: Vital Sign Ontology","abbreviation":"VSO","url":"https://fairsharing.org/10.25504/FAIRsharing.jjb2p2","doi":"10.25504/FAIRsharing.jjb2p2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vital Sign Ontology (VSO) is an extension of the Ontology for General Medical Science (OGMS). VSO covers the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. VSO provides also a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Biomedical Science"],"domains":["Experimental measurement","Blood"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[],"licence_links":[],"grants":[{"id":6914,"fairsharing_record_id":1167,"organisation_id":3198,"relation":"maintains","created_at":"2021-09-30T09:28:18.731Z","updated_at":"2021-09-30T09:28:18.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":3198,"name":"VSO Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1168","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T12:47:28.000Z","updated_at":"2023-09-29T11:54:58.989Z","metadata":{"doi":"10.25504/FAIRsharing.be4cf1","name":"Systems to manage terminology, knowledge and content -- Design, implementation and maintenance of terminology management systems","status":"deprecated","contacts":[{"contact_name":"Annette Preissner","contact_email":"annette.preissner@din.de"}],"homepage":"https://www.iso.org/standard/43427.html","citations":[],"identifier":1168,"description":"ISO 26162:2012 specifies criteria for designing, implementing and maintaining terminology management systems (TMS). It provides information about the rationale for using a TMS, types of users and users' needs, steps in designing and implementing a TMS as well as the tasks of organizing and managing a terminological data collection (TDC). It also provides guidelines for selecting and using data categories for managing terminology in various environments. It is intended for terminologists, software developers and others who are involved in the process of developing or acquiring a TMS.","abbreviation":"ISO 26162:2012","support_links":[{"url":"https://www.iso.org/contents/data/standard/04/34/43427.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2012,"deprecation_date":"2022-06-27","deprecation_reason":"This resource has now been withdrawn in favour of a more recent version."},"legacy_ids":["bsg-001279","bsg-s001279"],"name":"FAIRsharing record for: Systems to manage terminology, knowledge and content -- Design, implementation and maintenance of terminology management systems","abbreviation":"ISO 26162:2012","url":"https://fairsharing.org/10.25504/FAIRsharing.be4cf1","doi":"10.25504/FAIRsharing.be4cf1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 26162:2012 specifies criteria for designing, implementing and maintaining terminology management systems (TMS). It provides information about the rationale for using a TMS, types of users and users' needs, steps in designing and implementing a TMS as well as the tasks of organizing and managing a terminological data collection (TDC). It also provides guidelines for selecting and using data categories for managing terminology in various environments. It is intended for terminologists, software developers and others who are involved in the process of developing or acquiring a TMS.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Knowledge and Information Systems","Data Management","Ontology and Terminology","Linguistics"],"domains":["Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":15,"relation":"undefined"}],"grants":[{"id":6915,"fairsharing_record_id":1168,"organisation_id":1527,"relation":"maintains","created_at":"2021-09-30T09:28:18.763Z","updated_at":"2021-09-30T09:28:18.763Z","grant_id":null,"is_lead":true,"saved_state":{"id":1527,"name":"International Standards Organisation (ISO) ISO/TC 37/SC 3: Management of terminology resources","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10927,"fairsharing_record_id":1168,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:17:53.545Z","updated_at":"2023-09-27T14:17:53.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1194","type":"fairsharing_records","attributes":{"created_at":"2017-12-22T14:31:09.000Z","updated_at":"2021-11-24T13:18:12.044Z","metadata":{"doi":"10.25504/FAIRsharing.89hcdg","name":"Patient Derived Xenograft Minimum Information","status":"ready","contacts":[{"contact_name":"Terry Meehan","contact_email":"tmeehan@ebi.ac.uk","contact_orcid":"0000-0003-1980-3228"}],"homepage":"https://www.ncbi.nlm.nih.gov/pubmed/29092942","identifier":1194,"description":"Patients-derived tumor xenograft (PDX) mouse models are an important oncology research platform to study tumor evolution, drug response and personalised medicine approaches. We identified critical attributes to accurately describe PDX production and usage and proposed the PDX-Minimum information (PDX-MI) standard, which defines the minimal information for describing the clinical attributes of a patient’s tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use PDX models in cancer research. PDX-MI standard is the result of the collaborative work from more than 50 worldwide experts over 30 worldwide institutions.","abbreviation":"PDX-MI","support_links":[{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","name":"MTB PDX","type":"Contact form"}],"year_creation":2017},"legacy_ids":["bsg-001093","bsg-s001093"],"name":"FAIRsharing record for: Patient Derived Xenograft Minimum Information","abbreviation":"PDX-MI","url":"https://fairsharing.org/10.25504/FAIRsharing.89hcdg","doi":"10.25504/FAIRsharing.89hcdg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Patients-derived tumor xenograft (PDX) mouse models are an important oncology research platform to study tumor evolution, drug response and personalised medicine approaches. We identified critical attributes to accurately describe PDX production and usage and proposed the PDX-Minimum information (PDX-MI) standard, which defines the minimal information for describing the clinical attributes of a patient’s tumor, the processes of implantation and passaging of tumors in a host mouse strain, quality assurance methods, and the use PDX models in cancer research. PDX-MI standard is the result of the collaborative work from more than 50 worldwide experts over 30 worldwide institutions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12534}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Translational Medicine","Preclinical Studies"],"domains":["Model organism","Cancer"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Patient derived xenograft PDX"],"countries":["United Kingdom"],"publications":[{"id":2797,"pubmed_id":29092942,"title":"PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models.","year":2017,"url":"http://doi.org/10.1158/0008-5472.CAN-17-0582","authors":"Meehan TF, Conte N, Goldstein T, Inghirami G, Murakami MA, Brabetz S, Gu Z, Wiser JA, Dunn P, Begley DA, Krupke DM, Bertotti A, Bruna A, Brush MH, Byrne AT, Caldas C, Christie AL, Clark DA, Dowst H, Dry JR, Doroshow JH, Duchamp O, Evrard YA, Ferretti S, Frese KK, Goodwin NC, Greenawalt D, Haendel MA, Hermans E, Houghton PJ, Jonkers J, Kemper K, Khor TO, Lewis MT, Lloyd KCK, Mason J, Medico E, Neuhauser SB, Olson JM, Peeper DS, Rueda OM, Seong JK, Trusolino L, Vinolo E, Wechsler-Reya RJ, Weinstock DM, Welm A, Weroha SJ, Amant F, Pfister SM, Kool M, Parkinson H, Butte AJ, Bult CJ.","journal":"Cancer Research","doi":"10.1158/0008-5472.CAN-17-0582","created_at":"2021-09-30T08:27:43.939Z","updated_at":"2021-09-30T08:27:43.939Z"}],"licence_links":[],"grants":[{"id":6960,"fairsharing_record_id":1194,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:28:20.664Z","updated_at":"2021-09-30T09:28:20.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6961,"fairsharing_record_id":1194,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:28:20.694Z","updated_at":"2021-09-30T09:28:20.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1195","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-04T18:16:07.625Z","metadata":{"doi":"10.25504/FAIRsharing.sp3szt","name":"SoftWare Ontology","status":"ready","contacts":[{"contact_name":"Allyson Lister","contact_email":"allyson.lister@oerc.ox.ac.uk","contact_orcid":"0000-0002-7702-4495"}],"homepage":"https://github.com/allysonlister/swo","citations":[{"doi":"10.1186/2041-1480-5-25","pubmed_id":25068035,"publication_id":801}],"identifier":1195,"description":"The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. SWO also covers software manufacturer, input and output data types and the uses (i.e. objectives) to which the software can be put.","abbreviation":"SWO","support_links":[{"url":"https://softwareontology.wordpress.com","name":"SWO Blog","type":"Blog/News"},{"url":"https://github.com/allysonlister/swo/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2011,"associated_tools":[{"url":"http://www.ebi.ac.uk/ols/ontologies/swo","name":"Access via OLS (EBI)"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SWO","name":"SWO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/swo.html","name":"swo","portal":"OBO Foundry"},{"url":"https://www.ebi.ac.uk/ols/ontologies/swo","name":"SWO in OLS","portal":"OLS"}]},"legacy_ids":["bsg-000150","bsg-s000150"],"name":"FAIRsharing record for: SoftWare Ontology","abbreviation":"SWO","url":"https://fairsharing.org/10.25504/FAIRsharing.sp3szt","doi":"10.25504/FAIRsharing.sp3szt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. SWO also covers software manufacturer, input and output data types and the uses (i.e. objectives) to which the software can be put.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11150}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Computer Science"],"domains":["Algorithm","Workflow","Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":801,"pubmed_id":25068035,"title":"The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-25","authors":"Malone J,Brown A,Lister AL,Ison J,Hull D,Parkinson H,Stevens R","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-25","created_at":"2021-09-30T08:23:48.315Z","updated_at":"2021-09-30T08:23:48.315Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1277,"relation":"undefined"}],"grants":[{"id":6964,"fairsharing_record_id":1195,"organisation_id":2517,"relation":"maintains","created_at":"2021-09-30T09:28:20.793Z","updated_at":"2021-09-30T09:28:20.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":2517,"name":"School of Medicine, University of Manchester, Manchester M13 9PT, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":6966,"fairsharing_record_id":1195,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:20.865Z","updated_at":"2021-09-30T09:28:55.017Z","grant_id":14,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/C536444/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6962,"fairsharing_record_id":1195,"organisation_id":2691,"relation":"maintains","created_at":"2021-09-30T09:28:20.739Z","updated_at":"2021-09-30T09:28:20.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":2691,"name":"SWO administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":6963,"fairsharing_record_id":1195,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:20.764Z","updated_at":"2021-09-30T09:28:20.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":6965,"fairsharing_record_id":1195,"organisation_id":1600,"relation":"funds","created_at":"2021-09-30T09:28:20.833Z","updated_at":"2021-09-30T09:28:20.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6967,"fairsharing_record_id":1195,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:28:20.888Z","updated_at":"2021-09-30T09:28:20.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8103,"fairsharing_record_id":1195,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:30:58.613Z","updated_at":"2021-09-30T09:30:58.666Z","grant_id":961,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/G026238/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1196","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T16:00:30.000Z","updated_at":"2023-06-02T15:00:56.691Z","metadata":{"doi":"10.25504/FAIRsharing.nK2JoH","name":"French Communes","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/D63/en/","citations":[],"identifier":1196,"description":"This thesaurus lists all the French communes including metropolitan France and overseas regions and departments. The current communes (including those created in 2018) are attached to their department; the delegated, merged or associated communes are attached to the corresponding current commune. The different entries are mapped to l'INSEE, GeoNames, PACTOLS, Rameau, Wikidata and Wikipedia. Available in English and French.","abbreviation":"French Communes","year_creation":2018},"legacy_ids":["bsg-001418","bsg-s001418"],"name":"FAIRsharing record for: French Communes","abbreviation":"French Communes","url":"https://fairsharing.org/10.25504/FAIRsharing.nK2JoH","doi":"10.25504/FAIRsharing.nK2JoH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This thesaurus lists all the French communes including metropolitan France and overseas regions and departments. The current communes (including those created in 2018) are attached to their department; the delegated, merged or associated communes are attached to the corresponding current commune. The different entries are mapped to l'INSEE, GeoNames, PACTOLS, Rameau, Wikidata and Wikipedia. Available in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11303}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Communes","France"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1818,"relation":"undefined"}],"grants":[{"id":6968,"fairsharing_record_id":1196,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:21.068Z","updated_at":"2021-09-30T09:28:21.068Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1136","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T11:35:42.000Z","updated_at":"2024-05-02T13:22:18.982Z","metadata":{"doi":"10.25504/FAIRsharing.wvgta9","name":"Hierarchical Data Format","status":"ready","contacts":[{"contact_name":"Markus W. Covert","contact_email":"mcovert@stanford.edu"}],"homepage":"http://www.hdfgroup.org/HDF5/","citations":[],"identifier":1136,"description":"HDF5 is a data model, library, and file format for storing and managing data. It supports an unlimited variety of datatypes, and is designed for flexible and efficient I/O and for high volume and complex data. HDF5 is portable and is extensible, allowing applications to evolve in their use of HDF5. The HDF5 Technology suite includes tools and applications for managing, manipulating, viewing, and analyzing data in the HDF5 format.","abbreviation":"HDF5","support_links":[{"url":"help@hdfgroup.org","type":"Support email"},{"url":"https://support.hdfgroup.org/HDF5-FAQ.html","name":"HDF5 FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://support.hdfgroup.org/HDF5/Tutor/","name":"HDF5 Tutorial","type":"Help documentation"},{"url":"https://docs.hdfgroup.org/hdf5/v1_14/v1_14_4/_u_g.html","name":"HDF5 User Guide","type":"Help documentation"},{"url":"https://portal.hdfgroup.org/documentation/","name":"HDF Group Documentation","type":"Help documentation"},{"url":"https://github.com/HDFGroup/hdf5","name":"HDF Group GitHub","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"http://edamontology.org/format_3590","name":"EDAM","portal":"BioPortal"}]},"legacy_ids":["bsg-000575","bsg-s000575"],"name":"FAIRsharing record for: Hierarchical Data Format","abbreviation":"HDF5","url":"https://fairsharing.org/10.25504/FAIRsharing.wvgta9","doi":"10.25504/FAIRsharing.wvgta9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HDF5 is a data model, library, and file format for storing and managing data. It supports an unlimited variety of datatypes, and is designed for flexible and efficient I/O and for high volume and complex data. HDF5 is portable and is extensible, allowing applications to evolve in their use of HDF5. The HDF5 Technology suite includes tools and applications for managing, manipulating, viewing, and analyzing data in the HDF5 format.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14730}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Computational Biology","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":4258,"pubmed_id":null,"title":"An overview of the HDF5 technology suite and its applications","year":2011,"url":"http://dx.doi.org/10.1145/1966895.1966900","authors":"Folk, Mike; Heber, Gerd; Koziol, Quincey; Pourmal, Elena; Robinson, Dana; ","journal":"Proceedings of the EDBT/ICDT 2011 Workshop on Array Databases","doi":"10.1145/1966895.1966900","created_at":"2024-04-20T00:05:29.721Z","updated_at":"2024-04-20T00:05:29.721Z"}],"licence_links":[{"licence_name":"HDF5 BSD-style Open Source","licence_id":383,"licence_url":"https://support.hdfgroup.org/ftp/HDF5/releases/COPYING","link_id":1275,"relation":"undefined"},{"licence_name":"HDF Group Licenses","licence_id":1105,"licence_url":"https://www.hdfgroup.org/licenses","link_id":3610,"relation":"applies_to_content"}],"grants":[{"id":6853,"fairsharing_record_id":1136,"organisation_id":2784,"relation":"maintains","created_at":"2021-09-30T09:28:16.410Z","updated_at":"2024-04-20T00:04:07.320Z","grant_id":null,"is_lead":true,"saved_state":{"id":2784,"name":"The HDF Group","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1137","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T15:09:09.000Z","updated_at":"2023-06-02T15:13:39.851Z","metadata":{"doi":"10.25504/FAIRsharing.LcyXdU","name":"Thesaurus Cognitive psychology of human memory","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/P66/en/","citations":[],"identifier":1137,"description":"This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the cognitive psychology of human memory (memory systems and processes, empirical effects, memory disorders, study methods, theories and models), organized in the form of hierarchical (generic and specific terms), equivalence (synonyms) and association relationships. Most of the concepts are presented with a definition and a bibliography. Notes have been added to some of them (only in French for the moment). The resource is mapped to the Cognitive Atlas, Wikipedia, wikidata and the Santé Psy thesaurus. This resource consists of 870 terminological entries grouped into 18 collections.","abbreviation":null,"year_creation":2014},"legacy_ids":["bsg-001421","bsg-s001421"],"name":"FAIRsharing record for: Thesaurus Cognitive psychology of human memory","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LcyXdU","doi":"10.25504/FAIRsharing.LcyXdU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This bilingual thesaurus (French-English), developed at Inist-CNRS, covers the concepts from the cognitive psychology of human memory (memory systems and processes, empirical effects, memory disorders, study methods, theories and models), organized in the form of hierarchical (generic and specific terms), equivalence (synonyms) and association relationships. Most of the concepts are presented with a definition and a bibliography. Notes have been added to some of them (only in French for the moment). The resource is mapped to the Cognitive Atlas, Wikipedia, wikidata and the Santé Psy thesaurus. This resource consists of 870 terminological entries grouped into 18 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11304}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Psychology","Cognitive Neuroscience"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Human memory"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1821,"relation":"undefined"}],"grants":[{"id":6855,"fairsharing_record_id":1137,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:16.486Z","updated_at":"2021-09-30T09:28:16.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":6854,"fairsharing_record_id":1137,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:16.448Z","updated_at":"2021-09-30T09:28:16.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1138","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T18:21:42.000Z","updated_at":"2023-09-29T11:54:55.925Z","metadata":{"doi":"10.25504/FAIRsharing.3810da","name":"Information technology -- Processing languages -- Document Style Semantics and Specification Language (DSSSL)","status":"ready","contacts":[{"contact_name":"Toshiko Kimura","contact_email":"kimura@itscj.ipsj.or.jp"}],"homepage":"https://www.iso.org/standard/18196.html","citations":[],"identifier":1138,"description":"Document Style Semantics and Specification Language (DSSSL) defines the semantics, syntax, and processing model of languages for the specification of documentation processing. Specifies the processing of valid Standard Generalized Markup Language (SGML) documents. Provides means for externalization of style characteristics and other techniques for associating style information with an SGML document.","abbreviation":"ISO/IEC 10179:1996","support_links":[{"url":"https://www.iso.org/contents/data/standard/01/81/18196.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":1996},"legacy_ids":["bsg-001239","bsg-s001239"],"name":"FAIRsharing record for: Information technology -- Processing languages -- Document Style Semantics and Specification Language (DSSSL)","abbreviation":"ISO/IEC 10179:1996","url":"https://fairsharing.org/10.25504/FAIRsharing.3810da","doi":"10.25504/FAIRsharing.3810da","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Document Style Semantics and Specification Language (DSSSL) defines the semantics, syntax, and processing model of languages for the specification of documentation processing. Specifies the processing of valid Standard Generalized Markup Language (SGML) documents. Provides means for externalization of style characteristics and other techniques for associating style information with an SGML document.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Subject Agnostic","Linguistics"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":973,"relation":"undefined"}],"grants":[{"id":10910,"fairsharing_record_id":1138,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:04:41.805Z","updated_at":"2023-09-27T14:04:41.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":6856,"fairsharing_record_id":1138,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:28:16.523Z","updated_at":"2021-09-30T09:28:16.523Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1184","type":"fairsharing_records","attributes":{"created_at":"2019-02-14T13:28:47.000Z","updated_at":"2022-07-20T12:27:58.022Z","metadata":{"doi":"10.25504/FAIRsharing.6yNXYK","name":"Plant Experimental Condition Ontology","status":"ready","contacts":[{"contact_name":"Pankaj Jaiswal","contact_email":"jaiswalp@science.oregonstate.edu"}],"homepage":"https://github.com/Planteome/plant-experimental-conditions-ontology","identifier":1184,"description":"PECO is a structured, controlled vocabulary for the representation of plant experimental conditions. It describes the treatments, growing conditions, and/or study types used in various types of plant biology experiments.","abbreviation":"PECO","support_links":[{"url":"https://github.com/Planteome/plant-experimental-conditions-ontology/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PECO","name":"PECO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/peco.html","name":"peco","portal":"OBO Foundry"}]},"legacy_ids":["bsg-001359","bsg-s001359"],"name":"FAIRsharing record for: Plant Experimental Condition Ontology","abbreviation":"PECO","url":"https://fairsharing.org/10.25504/FAIRsharing.6yNXYK","doi":"10.25504/FAIRsharing.6yNXYK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PECO is a structured, controlled vocabulary for the representation of plant experimental conditions. It describes the treatments, growing conditions, and/or study types used in various types of plant biology experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany"],"domains":["Experimental measurement","Study design","Experimentally determined"],"taxonomies":["Plantae"],"user_defined_tags":["Experimental condition"],"countries":["United States"],"publications":[{"id":2166,"pubmed_id":29186578,"title":"The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1152","authors":"Cooper L,Meier A,Laporte MA,Elser JL,Mungall C,Sinn BT,Cavaliere D,Carbon S,Dunn NA,Smith B,Qu B,Preece J,Zhang E,Todorovic S,Gkoutos G,Doonan JH,Stevenson DW,Arnaud E,Jaiswal P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1152","created_at":"2021-09-30T08:26:24.139Z","updated_at":"2021-09-30T11:29:30.419Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2047,"relation":"undefined"}],"grants":[{"id":6940,"fairsharing_record_id":1184,"organisation_id":1582,"relation":"maintains","created_at":"2021-09-30T09:28:19.739Z","updated_at":"2021-09-30T09:28:19.739Z","grant_id":null,"is_lead":true,"saved_state":{"id":1582,"name":"Jaiswal Lab, Department of Botany and Plant Pathology (BPP), Oregon State University, Corvallis, United States","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1185","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2022-07-20T12:35:25.010Z","metadata":{"doi":"10.25504/FAIRsharing.5p12xh","name":"Ontology of Biological and Clinical Statistics","status":"ready","contacts":[{"contact_name":"Yongqun (Oliver) He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/obcs/obcs","citations":[{"doi":"10.1186/s13326-016-0100-2","pubmed_id":27627881,"publication_id":1906}],"identifier":1185,"description":"The Ontology of Biological and Clinical Statistics (OBCS) is a biomedical ontology in the domain of biological and clinical statistics. OBCS is primarily targeted for statistical representation in the fields in biological, biomedical, and clinical domains. OBCS uses the Basic Formal Ontology (BFO) as the upper level ontology. OBCS imports all biostatistics related terms in the Ontology for Biomedical Investigations (OBI) including all logical axioms.","abbreviation":"OBCS","support_links":[{"url":"https://github.com/obcs/obcs/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBCS","name":"OBCS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/obcs.html","name":"obcs","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000914","bsg-s000914"],"name":"FAIRsharing record for: Ontology of Biological and Clinical Statistics","abbreviation":"OBCS","url":"https://fairsharing.org/10.25504/FAIRsharing.5p12xh","doi":"10.25504/FAIRsharing.5p12xh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Biological and Clinical Statistics (OBCS) is a biomedical ontology in the domain of biological and clinical statistics. OBCS is primarily targeted for statistical representation in the fields in biological, biomedical, and clinical domains. OBCS uses the Basic Formal Ontology (BFO) as the upper level ontology. OBCS imports all biostatistics related terms in the Ontology for Biomedical Investigations (OBI) including all logical axioms.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12115},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12523},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16997}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Statistics","Biomedical Science","Biology","Medical Informatics"],"domains":["Vaccine"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1906,"pubmed_id":27627881,"title":"The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0100-2","authors":"Zheng J,Harris MR,Masci AM,Lin Y,Hero A,Smith B,He Y","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0100-2","created_at":"2021-09-30T08:25:54.337Z","updated_at":"2021-09-30T08:25:54.337Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1397,"relation":"undefined"}],"grants":[{"id":6941,"fairsharing_record_id":1185,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:28:19.777Z","updated_at":"2021-09-30T09:28:19.777Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1186","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:47:33.000Z","updated_at":"2023-06-02T15:10:08.854Z","metadata":{"doi":"10.25504/FAIRsharing.LwAk3f","name":"Thesaurus of Blood Transfusion","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/W7B/en/","citations":[],"identifier":1186,"description":"The thesaurus of Blood Transfusion consists of 2032 entries, in English and French.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001416","bsg-s001416"],"name":"FAIRsharing record for: Thesaurus of Blood Transfusion","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LwAk3f","doi":"10.25504/FAIRsharing.LwAk3f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The thesaurus of Blood Transfusion consists of 2032 entries, in English and French.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11302}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Transfusion Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1816,"relation":"undefined"}],"grants":[{"id":6942,"fairsharing_record_id":1186,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:28:19.819Z","updated_at":"2021-09-30T09:28:19.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":6943,"fairsharing_record_id":1186,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:28:19.856Z","updated_at":"2021-09-30T09:28:19.856Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1182","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-02T15:53:14.026Z","metadata":{"doi":"10.25504/FAIRsharing.f73xhd","name":"Pathway Ontology","status":"ready","contacts":[{"contact_name":"Victoria Petri","contact_email":"vpetri@mcw.edu","contact_orcid":"0000-0002-5540-8498"}],"homepage":"https://rgd.mcw.edu/rgdweb/ontology/view.html?acc_id=PW:0000001","citations":[{"doi":"10.1186/2041-1480-5-7","pubmed_id":24499703,"publication_id":994}],"identifier":1182,"description":"The goal of the Pathway Ontology is to cover all types of biological pathways, including altered and disease pathways, and to capture the relationships between them within the hierarchical structure of a Directed Acyclic Graph (DAG). The five nodes of the ontology are: classic metabolic, regulatory, signaling, drug and disease pathways. An extensive survey of the review literature along with searches of existing pathway databases have been used to choose terms and their position within the tree. The ontology is continually expanding along with the development of Pathway and Disease Portals at RGD.","abbreviation":"PW","support_links":[{"url":"https://rgd.mcw.edu/contact/index.shtml","name":"General inquiry","type":"Contact form"},{"url":"ftp://ftp.rgd.mcw.edu/pub/data_release/PathwayOntology_introduction.doc","name":"Pathway Ontology Introduction (doc)","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PW","name":"PW","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/pw.html","name":"pw","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000045","bsg-s000045"],"name":"FAIRsharing record for: Pathway Ontology","abbreviation":"PW","url":"https://fairsharing.org/10.25504/FAIRsharing.f73xhd","doi":"10.25504/FAIRsharing.f73xhd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the Pathway Ontology is to cover all types of biological pathways, including altered and disease pathways, and to capture the relationships between them within the hierarchical structure of a Directed Acyclic Graph (DAG). The five nodes of the ontology are: classic metabolic, regulatory, signaling, drug and disease pathways. An extensive survey of the review literature along with searches of existing pathway databases have been used to choose terms and their position within the tree. The ontology is continually expanding along with the development of Pathway and Disease Portals at RGD.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11921}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Metabolism","Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Drug","Signaling","Biological regulation","Enzymatic reaction","Disease","Pathway model"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":994,"pubmed_id":24499703,"title":"The pathway ontology - updates and applications.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-7","authors":"Petri V,Jayaraman P,Tutaj M,Hayman GT,Smith JR,De Pons J,Laulederkind SJ,Lowry TF,Nigam R,Wang SJ,Shimoyama M,Dwinell MR,Munzenmaier DH,Worthey EA,Jacob HJ","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-7","created_at":"2021-09-30T08:24:10.030Z","updated_at":"2021-09-30T08:24:10.030Z"},{"id":1001,"pubmed_id":25265995,"title":"Disease pathways at the Rat Genome Database Pathway Portal: genes in context-a network approach to understanding the molecular mechanisms of disease.","year":2014,"url":"http://doi.org/10.1186/s40246-014-0017-8","authors":"Petri V,Hayman GT,Tutaj M,Smith JR,Laulederkind SJ,Wang SJ,Nigam R,De Pons J,Shimoyama M,Dwinell MR,Worthey EA,Jacob HJ","journal":"Hum Genomics","doi":"10.1186/s40246-014-0017-8","created_at":"2021-09-30T08:24:10.798Z","updated_at":"2021-09-30T08:24:10.798Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":227,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":226,"relation":"undefined"}],"grants":[{"id":6938,"fairsharing_record_id":1182,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:28:19.669Z","updated_at":"2021-09-30T09:28:19.669Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":6939,"fairsharing_record_id":1182,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:19.707Z","updated_at":"2021-09-30T09:31:21.247Z","grant_id":1131,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HL64541","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1183","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:28.108Z","metadata":{"doi":"10.25504/FAIRsharing.s8g6nh","name":"Non Randomized Controlled Trials Ontology","status":"ready","contacts":[{"contact_name":"Amrapali Zaver","contact_email":"amrapali.j.zaveri@gmail.com","contact_orcid":"0000-0003-3239-4588"}],"homepage":"http://bioportal.bioontology.org/ontologies/3012","identifier":1183,"description":"Non Randomized Controlled Trials Ontology is an ontology to help the systematic review and meta-analysis process of non randomized clinical trials.","abbreviation":"NonRCTOntology","year_creation":2009},"legacy_ids":["bsg-002786","bsg-s002786"],"name":"FAIRsharing record for: Non Randomized Controlled Trials Ontology","abbreviation":"NonRCTOntology","url":"https://fairsharing.org/10.25504/FAIRsharing.s8g6nh","doi":"10.25504/FAIRsharing.s8g6nh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Non Randomized Controlled Trials Ontology is an ontology to help the systematic review and meta-analysis process of non randomized clinical trials.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12471}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Non-randomized controlled trials"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":[],"publications":[{"id":2020,"pubmed_id":15120657,"title":"An ontology of randomized controlled trials for evidence-based practice: content specification and evaluation using the competency decomposition method.","year":2004,"url":"http://doi.org/10.1016/j.jbi.2004.03.001","authors":"Sim I,Olasov B,Carini S","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2004.03.001","created_at":"2021-09-30T08:26:07.562Z","updated_at":"2021-09-30T08:26:07.562Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1494,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1149","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:51:04.722Z","metadata":{"doi":"10.25504/FAIRsharing.z9kvry","name":"Systems Biology Graphical Notation","status":"ready","contacts":[{"contact_name":"SBGN Editors","contact_email":"sbgn-editors@googlegroups.com"}],"homepage":"https://sbgn.github.io/","identifier":1149,"description":"The Systems Biology Graphical Notation (SBGN) project is an effort to standardize the graphical notation used in maps of biological processes. The mission of SBGN project is to develop high quality, standard graphical languages for representing biological processes and interactions. Each SBGN language is based on the consensus of the broad international SBGN community of biologists, curators and software developers.","abbreviation":"SBGN","support_links":[{"url":"https://sbgn.github.io/contact","name":"Contact Information","type":"Github"},{"url":"https://sbgn.github.io/faq","name":"FAQ","type":"Github"},{"url":"https://sbgn.github.io/examples","name":"Examples","type":"Github"},{"url":"https://sbgn.github.io/learning","name":"Learning SBGN","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/pathway-visualization-in-the-reactome-pathway-database","name":"Pathway visualization in the Reactome pathway database","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/graphical-computational-modelling-of-biological-pathways-d0b38ce1-0e2e-4ba9-9e0c-39c6af558782","name":"Graphical \u0026 Computational Modelling of Biological Pathways","type":"TeSS links to training materials"}],"year_creation":2005,"associated_tools":[{"url":"https://sbgn.github.io/software","name":"SBGN Tools and Libraries"}]},"legacy_ids":["bsg-000092","bsg-s000092"],"name":"FAIRsharing record for: Systems Biology Graphical Notation","abbreviation":"SBGN","url":"https://fairsharing.org/10.25504/FAIRsharing.z9kvry","doi":"10.25504/FAIRsharing.z9kvry","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systems Biology Graphical Notation (SBGN) project is an effort to standardize the graphical notation used in maps of biological processes. The mission of SBGN project is to develop high quality, standard graphical languages for representing biological processes and interactions. Each SBGN language is based on the consensus of the broad international SBGN community of biologists, curators and software developers.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10848},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11153},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11878},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12210},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14545},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16939}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Systems Biology"],"domains":["Mathematical model","Network model","Molecular entity","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Japan","United Kingdom","United States","European Union"],"publications":[{"id":672,"pubmed_id":26528563,"title":"Systems Biology Graphical Notation: Activity Flow language Level 1 Version 1.2.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-265","authors":"Mi H,Schreiber F,Moodie S,Czauderna T,Demir E,Haw R,Luna A,Le Novere N,Sorokin A,Villeger A","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-265","created_at":"2021-09-30T08:23:34.135Z","updated_at":"2021-09-30T08:23:34.135Z"},{"id":717,"pubmed_id":19668183,"title":"The Systems Biology Graphical Notation.","year":2009,"url":"http://doi.org/10.1038/nbt.1558","authors":"Le Novere N et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt.1558","created_at":"2021-09-30T08:23:39.028Z","updated_at":"2021-09-30T08:23:39.028Z"},{"id":945,"pubmed_id":26528562,"title":"Systems Biology Graphical Notation: Entity Relationship language Level 1 Version 2.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-264","authors":"Sorokin A,Le Novere N,Luna A,Czauderna T,Demir E,Haw R,Mi H,Moodie S,Schreiber F,Villeger A","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-264","created_at":"2021-09-30T08:24:04.571Z","updated_at":"2021-09-30T08:24:04.571Z"},{"id":1278,"pubmed_id":25303525,"title":"gammaCaMKII shuttles Ca(2)(+)/CaM to the nucleus to trigger CREB phosphorylation and gene expression.","year":2014,"url":"http://doi.org/10.1016/j.cell.2014.09.019","authors":"Ma H,Groth RD,Cohen SM,Emery JF,Li B,Hoedt E,Zhang G,Neubert TA,Tsien RW","journal":"Cell","doi":"10.1016/j.cell.2014.09.019","created_at":"2021-09-30T08:24:42.632Z","updated_at":"2021-09-30T08:24:42.632Z"}],"licence_links":[],"grants":[{"id":6874,"fairsharing_record_id":1149,"organisation_id":2147,"relation":"funds","created_at":"2021-09-30T09:28:17.193Z","updated_at":"2021-09-30T09:28:17.193Z","grant_id":null,"is_lead":false,"saved_state":{"id":2147,"name":"New Energy and Industrial Technology Development Organization","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":6880,"fairsharing_record_id":1149,"organisation_id":938,"relation":"funds","created_at":"2021-09-30T09:28:17.350Z","updated_at":"2021-09-30T09:28:17.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":938,"name":"European Media Laboratory EML Research GmbH","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6873,"fairsharing_record_id":1149,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:17.169Z","updated_at":"2021-09-30T09:28:17.169Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6875,"fairsharing_record_id":1149,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:17.219Z","updated_at":"2021-09-30T09:28:17.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6876,"fairsharing_record_id":1149,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:17.243Z","updated_at":"2021-09-30T09:28:17.243Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":6877,"fairsharing_record_id":1149,"organisation_id":2238,"relation":"funds","created_at":"2021-09-30T09:28:17.269Z","updated_at":"2021-09-30T09:28:17.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":2238,"name":"Okinawa Institute of Science and Technology Graduate University, OIST","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6878,"fairsharing_record_id":1149,"organisation_id":2495,"relation":"funds","created_at":"2021-09-30T09:28:17.293Z","updated_at":"2021-09-30T09:28:17.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":2495,"name":"SBGN community","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":6879,"fairsharing_record_id":1149,"organisation_id":258,"relation":"funds","created_at":"2021-09-30T09:28:17.319Z","updated_at":"2021-09-30T09:28:17.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":258,"name":"Biological Network Modelling Center (BNMC), Beckman Institute, California Institute of Technology (Caltech), Pasadena, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1148","type":"fairsharing_records","attributes":{"created_at":"2020-07-18T12:34:51.000Z","updated_at":"2022-07-20T09:41:26.949Z","metadata":{"doi":"10.25504/FAIRsharing.EZCpPd","name":"Data Documentation Initiative Codebook","status":"ready","contacts":[{"contact_name":"Wendy Thomas","contact_email":"wlt@umn.edu","contact_orcid":"0000-0003-1294-4490"}],"homepage":"https://ddialliance.org/Specification/DDI-Codebook/2.5/","identifier":1148,"description":"Data Documentation Initiative (DDI-Codebook, DDI-C) is a more light-weight version of DDI-Lifecycle, intended primarily to document simple survey data. Originally DTD-based, DDI-C is now available as an XML Schema. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world.","abbreviation":"DDI-Codebook","support_links":[{"url":"http://www.ddialliance.org/contact-us","name":"Contact Form","type":"Contact form"},{"url":"ddisecretariat@umich.edu","name":"DDI Secretariat","type":"Support email"},{"url":"http://www.ddialliance.org/resources/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/field_level_documentation.html","name":"Field-level Documentation","type":"Help documentation"},{"url":"http://www.ddialliance.org/sites/default/files/Specification/readme.txt","name":"Contributors","type":"Help documentation"},{"url":"https://ddialliance.org/resources/markup-examples/2.5","name":"Markup Examples v2.5","type":"Help documentation"},{"url":"http://www.ddialliance.org/training/training-library","name":"Training Library","type":"Training documentation"},{"url":"https://twitter.com/DDIAlliance","name":"@DDIAlliance","type":"Twitter"}],"year_creation":2000,"associated_tools":[{"url":"https://ddialliance.org/resources/tools","name":"DDI Tools"}]},"legacy_ids":["bsg-001512","bsg-s001512"],"name":"FAIRsharing record for: Data Documentation Initiative Codebook","abbreviation":"DDI-Codebook","url":"https://fairsharing.org/10.25504/FAIRsharing.EZCpPd","doi":"10.25504/FAIRsharing.EZCpPd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Documentation Initiative (DDI-Codebook, DDI-C) is a more light-weight version of DDI-Lifecycle, intended primarily to document simple survey data. Originally DTD-based, DDI-C is now available as an XML Schema. The freely available international DDI standards describe data that result from observational methods in the social, behavioral, economic, and health sciences. DDI is used to document data in over 80 countries of the world.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18236},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12952},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13344},{"linking_record_name":"Crosswalk of mappings to the most current version of Dataverse","linking_record_id":3644,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13354}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Economics","Social Science","Health Science","Social and Behavioural Science","Biomedical Science"],"domains":["Study design"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1769,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1762,"relation":"undefined"}],"grants":[{"id":6872,"fairsharing_record_id":1148,"organisation_id":649,"relation":"maintains","created_at":"2021-09-30T09:28:17.136Z","updated_at":"2021-09-30T09:28:17.136Z","grant_id":null,"is_lead":true,"saved_state":{"id":649,"name":"Data Documentation Initiative (DDI) Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1178","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:11.325Z","metadata":{"doi":"10.25504/FAIRsharing.d50st0","name":"Ontology of Alternative Medicine, French","status":"uncertain","contacts":[{"contact_name":"Sanou Martin","contact_email":"martinsanou@lavima.org"}],"homepage":"http://bioportal.bioontology.org/ontologies/3090","identifier":1178,"description":"Common concepts for communication between traditional medicine and western medicine. (In French)","abbreviation":"OntoMA","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTOMA","name":"ONTOMA","portal":"BioPortal"}]},"legacy_ids":["bsg-002822","bsg-s002822"],"name":"FAIRsharing record for: Ontology of Alternative Medicine, French","abbreviation":"OntoMA","url":"https://fairsharing.org/10.25504/FAIRsharing.d50st0","doi":"10.25504/FAIRsharing.d50st0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Common concepts for communication between traditional medicine and western medicine. (In French)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Traditional Medicine"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1266","type":"fairsharing_records","attributes":{"created_at":"2021-03-25T11:38:27.000Z","updated_at":"2022-08-16T08:01:45.570Z","metadata":{"doi":"10.25504/FAIRsharing.1413b5","name":"Thesaurus of Geographic Names","status":"ready","contacts":[{"contact_name":"TGN Editors","contact_email":"TGN@getty.edu"}],"homepage":"http://www.getty.edu/research/tools/vocabularies/tgn/index.html","citations":[],"identifier":1266,"description":"The Thesaurus of Geographic Names (TGN) is a terminology that focuses on places relevant to art, architecture, and related disciplines, recording names, relationships, place types, dates, notes, and coordinates for current and historical cities, nations, empires, archaeological sites, lost settlements, and physical features. The TGN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","abbreviation":"TGN","support_links":[{"url":"vocab@getty.edu","name":"Getty Vocabulary Program Contact","type":"Support email"},{"url":"http://www.getty.edu/research/tools/vocabularies/tgn/faq.html","name":"TGN FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/faq.html","name":"Getty Vocabularies FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.getty.edu/research/tools/vocabularies/tgn/help.html","name":"How to Use the TGN","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/obtain/index.html","name":"Obtaining the Getty Vocabularies","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/lod/index.html","name":"Getty Vocabularies as Linked Open Data","type":"Help documentation"},{"url":"http://www.getty.edu/research/tools/vocabularies/tgn/about.html","name":"About","type":"Help documentation"}],"year_creation":1987},"legacy_ids":["bsg-001599","bsg-s001599"],"name":"FAIRsharing record for: Thesaurus of Geographic Names","abbreviation":"TGN","url":"https://fairsharing.org/10.25504/FAIRsharing.1413b5","doi":"10.25504/FAIRsharing.1413b5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Thesaurus of Geographic Names (TGN) is a terminology that focuses on places relevant to art, architecture, and related disciplines, recording names, relationships, place types, dates, notes, and coordinates for current and historical cities, nations, empires, archaeological sites, lost settlements, and physical features. The TGN is one of 5 Getty Vocabularies intended to provide terminology and other information about the objects, artists, concepts, and places important to various disciplines that specialize in art, architecture, and other material culture.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Culture","Geography","Art History","Architecture","Ancient Cultures","Fine Arts","History","Human Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":397,"relation":"undefined"},{"licence_name":"The Getty Terms of Use / Copyright","licence_id":784,"licence_url":"http://www.getty.edu/legal/copyright.html","link_id":396,"relation":"undefined"}],"grants":[{"id":7097,"fairsharing_record_id":1266,"organisation_id":2781,"relation":"maintains","created_at":"2021-09-30T09:28:25.632Z","updated_at":"2021-09-30T09:28:25.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":2781,"name":"The Getty Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1267","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:15:43.636Z","metadata":{"doi":"10.25504/FAIRsharing.vxyt0f","name":"Lipid Ontology","status":"deprecated","contacts":[{"contact_name":"Christopher Baker","contact_email":"bakerc@unb.ca"}],"homepage":"http://purl.bioontology.org/ontology/LiPrO","identifier":1267,"description":"Lipid research is increasingly integrated within systems level biology such as lipidomics where lipid classification is required before appropriate annotation of chemical functions can be applied. The ontology describes the LIPIDMAPS nomenclature classification explicitly using description logics (OWL-DL).","abbreviation":"LiPrO","year_creation":2009,"deprecation_date":"2016-04-07","deprecation_reason":"This ontology has been deprecated within the OBO Foundry."},"legacy_ids":["bsg-000108","bsg-s000108"],"name":"FAIRsharing record for: Lipid Ontology","abbreviation":"LiPrO","url":"https://fairsharing.org/10.25504/FAIRsharing.vxyt0f","doi":"10.25504/FAIRsharing.vxyt0f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Lipid research is increasingly integrated within systems level biology such as lipidomics where lipid classification is required before appropriate annotation of chemical functions can be applied. The ontology describes the LIPIDMAPS nomenclature classification explicitly using description logics (OWL-DL).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Life Science"],"domains":["Lipid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Singapore"],"publications":[{"id":538,"pubmed_id":18315858,"title":"Towards ontology-driven navigation of the lipid bibliosphere.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-S1-S5","authors":"Baker CJ,Kanagasabai R,Ang WT,Veeramani A,Low HS,Wenk MR","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-S1-S5","created_at":"2021-09-30T08:23:18.785Z","updated_at":"2021-09-30T08:23:18.785Z"}],"licence_links":[],"grants":[{"id":7099,"fairsharing_record_id":1267,"organisation_id":3105,"relation":"maintains","created_at":"2021-09-30T09:28:25.720Z","updated_at":"2021-09-30T09:28:25.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":3105,"name":"University of New Brunswick, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7098,"fairsharing_record_id":1267,"organisation_id":37,"relation":"funds","created_at":"2021-09-30T09:28:25.682Z","updated_at":"2021-09-30T09:28:25.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7100,"fairsharing_record_id":1267,"organisation_id":2085,"relation":"maintains","created_at":"2021-09-30T09:28:25.752Z","updated_at":"2021-09-30T09:28:25.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7101,"fairsharing_record_id":1267,"organisation_id":2085,"relation":"funds","created_at":"2021-09-30T09:28:25.783Z","updated_at":"2021-09-30T09:31:42.884Z","grant_id":1294,"is_lead":false,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","grant":"R-183-000-607-712","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1268","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.719Z","metadata":{"doi":"10.25504/FAIRsharing.asg057","name":"Parasite Experiment Ontology","status":"uncertain","contacts":[{"contact_name":"Priti Parikh","contact_email":"priti@knoesis.org","contact_orcid":"0000-0002-1086-4190"}],"homepage":"http://bioportal.bioontology.org/ontologies/PEO","identifier":1268,"description":"The Parasite Experiment Ontology (PEO) models the processes, instruments, parameters, and sample details that will be used to annotate experimental results with “provenance” metadata (derivation history of results). The ontology was created to enable publication of results in journals, conferences with details of the method used to arrive at the result. Please note that the homepage is no longer active, and the ontology has not been updated in BioPortal since 2011. Until we can ascertain the current status of the ontology, we have marked this record as \"Uncertain\".","abbreviation":"PEO","support_links":[{"url":"support@knoesis.org","name":"Kno.e.sis Support","type":"Support email"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PEO","name":"PEO","portal":"BioPortal"}]},"legacy_ids":["bsg-002600","bsg-s002600"],"name":"FAIRsharing record for: Parasite Experiment Ontology","abbreviation":"PEO","url":"https://fairsharing.org/10.25504/FAIRsharing.asg057","doi":"10.25504/FAIRsharing.asg057","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Parasite Experiment Ontology (PEO) models the processes, instruments, parameters, and sample details that will be used to annotate experimental results with “provenance” metadata (derivation history of results). The ontology was created to enable publication of results in journals, conferences with details of the method used to arrive at the result. Please note that the homepage is no longer active, and the ontology has not been updated in BioPortal since 2011. Until we can ascertain the current status of the ontology, we have marked this record as \"Uncertain\".","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Drug","Drug combination effect modeling","Parasite","Life cycle"],"taxonomies":["Homo sapiens","Trypanosoma"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2800,"pubmed_id":null,"title":"Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker","year":2011,"url":"https://corescholar.libraries.wright.edu/knoesis/12/","authors":"Valerie Cross, Cosmin Stroe, Xueheng Hu, Pramit Silwal, Maryam Panahiazar, Isabel F. Cruz, Priti Parikh, Amit P. Sheth","journal":"Conference paper : International Conference on Biomedical Ontology","doi":null,"created_at":"2021-09-30T08:27:44.331Z","updated_at":"2021-09-30T08:27:44.331Z"}],"licence_links":[],"grants":[{"id":7102,"fairsharing_record_id":1268,"organisation_id":556,"relation":"maintains","created_at":"2021-09-30T09:28:25.810Z","updated_at":"2021-09-30T09:28:25.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":556,"name":"College of Engineering and Computer Science (KNO.E.SIS), Fairborn, OH, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7103,"fairsharing_record_id":1268,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:28:25.834Z","updated_at":"2021-09-30T09:32:19.883Z","grant_id":1570,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01HL087795-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1269","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:46.577Z","metadata":{"doi":"10.25504/FAIRsharing.a4wgws","name":"Real-time PCR Data Markup Language","status":"ready","contacts":[{"contact_name":"Jo Vandesompele","contact_email":"Joke.Vandesompele@UGent.be","contact_orcid":"0000-0001-6274-0184"}],"homepage":"http://rdml.org/","citations":[],"identifier":1269,"description":"The RDML file format is developed by the RDML consortium (http://www.rdml.org) and can be used free of charge. The RDML file format was created to encourage the exchange, publication, revision and re-analysis of raw qPCR data. The core of an RDML file is an experiment, not a PCR run. Therefore all the information is collected which is required to understand an experiment. The structure of the file format was inspired by a database structure. In the file are several master elements, which are then referred to in other parts of the file. This structure allows to reduce the amount of redundant information and encourages the user to provide useful information. The Real-time PCR Data Markup Language (RDML) is a structured and universal data standard for exchanging quantitative PCR (qPCR) data. The data standard should contain sufficient information to understand the experimental setup, re-analyse the data and interpret the results. The data standard is a compressed text file in Extensible Markup Language (XML) and enables transparent exchange of annotated qPCR data between instrument software and third-party data analysis packages, between colleagues and collaborators, and between authors, peer reviewers, journals and readers. To support the public acceptance of this standard, both an on-line RDML file generator is available for end users, as well as RDML software libraries to be used by software developers, enabling import and export of RDML data files.","abbreviation":"RDML","support_links":[{"url":"info@rdml.org","type":"Support email"},{"url":"http://sourceforge.net/projects/rdml/forums","type":"Forum"},{"url":"http://www.rdml.org/files.php","type":"Help documentation"}],"year_creation":2009,"associated_tools":[{"url":"http://www.rdml.org/tools.php","name":"RDML Generator"},{"url":"http://www.rdml.org/tools.php?validator","name":"RDML Validator"},{"url":"http://www.rdml.org/tools.php?combinator","name":"RDML Merge Files"}]},"legacy_ids":["bsg-000140","bsg-s000140"],"name":"FAIRsharing record for: Real-time PCR Data Markup Language","abbreviation":"RDML","url":"https://fairsharing.org/10.25504/FAIRsharing.a4wgws","doi":"10.25504/FAIRsharing.a4wgws","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RDML file format is developed by the RDML consortium (http://www.rdml.org) and can be used free of charge. The RDML file format was created to encourage the exchange, publication, revision and re-analysis of raw qPCR data. The core of an RDML file is an experiment, not a PCR run. Therefore all the information is collected which is required to understand an experiment. The structure of the file format was inspired by a database structure. In the file are several master elements, which are then referred to in other parts of the file. This structure allows to reduce the amount of redundant information and encourages the user to provide useful information. The Real-time PCR Data Markup Language (RDML) is a structured and universal data standard for exchanging quantitative PCR (qPCR) data. The data standard should contain sufficient information to understand the experimental setup, re-analyse the data and interpret the results. The data standard is a compressed text file in Extensible Markup Language (XML) and enables transparent exchange of annotated qPCR data between instrument software and third-party data analysis packages, between colleagues and collaborators, and between authors, peer reviewers, journals and readers. To support the public acceptance of this standard, both an on-line RDML file generator is available for end users, as well as RDML software libraries to be used by software developers, enabling import and export of RDML data files.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Nucleic acid sequence","Experimental measurement","Deoxyribonucleic acid","Ribonucleic acid","Gene expression","Polymerase Chain Reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3,"pubmed_id":19223324,"title":"RDML: structured language and reporting guidelines for real-time quantitative PCR data.","year":2009,"url":"http://doi.org/10.1093/nar/gkp056","authors":"Lefever S, Hellemans J, Pattyn F, Przybylski DR, Taylor C, Geurts R, Untergasser A, Vandesompele J","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp056","created_at":"2021-09-30T08:22:20.897Z","updated_at":"2021-09-30T08:22:20.897Z"},{"id":1506,"pubmed_id":26087842,"title":"RDML-Ninja and RDMLdb for standardized exchange of qPCR data.","year":2015,"url":"http://doi.org/10.1186/s12859-015-0637-6","authors":"Ruijter JM,Lefever S,Anckaert J,Hellemans J,Pfaffl MW,Benes V,Bustin SA,Vandesompele J,Untergasser A","journal":"BMC Bioinformatics","doi":"10.1186/s12859-015-0637-6","created_at":"2021-09-30T08:25:08.594Z","updated_at":"2021-09-30T08:25:08.594Z"}],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":366,"relation":"undefined"}],"grants":[{"id":7105,"fairsharing_record_id":1269,"organisation_id":2407,"relation":"maintains","created_at":"2021-09-30T09:28:25.884Z","updated_at":"2021-09-30T09:28:25.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":2407,"name":"RDML consortium","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7104,"fairsharing_record_id":1269,"organisation_id":2812,"relation":"funds","created_at":"2021-09-30T09:28:25.859Z","updated_at":"2021-09-30T09:31:12.058Z","grant_id":1060,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","grant":"050-71-052","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1270","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-08T13:34:45.630Z","metadata":{"doi":"10.25504/FAIRsharing.namxfm","name":"Functional Genomics Experiment Markup Language","status":"deprecated","contacts":[{"contact_name":"Andy Jones","contact_email":"Andrew.Jones@liverpool.ac.uk"}],"homepage":"http://fuge.sourceforge.net/dev/index.php","citations":[],"identifier":1270,"description":"Functional genomics experiments present many challenges in data archiving, sharing and querying. As the size and complexity of data generated from such experiments grows, so does the requirement for standard data formats. To address these needs, the Functional Genomics Experiment [Object Model / Markup-Language] (FuGE-OM, FuGE-ML) has been created to facilitate the development of data standards.FuGE is a model of the shared components in different functional genomics domains. FuGE facilitates the development of data standards in functional genomics in two ways: 1. FuGE provides a model of common components in functional genomics investigations, such as materials, data, protocols, equipment and software. These models can be extended to develop modular data formats with consistent structure. 2. FuGE provides a framework for capturing complete laboratory workflows, enabling the integration of pre-existing data formats. In this context, FuGE allows the capture of additional metadata that gives formats a context within the complete workflow. FuGE is available as a UML model and an XML Schema","abbreviation":"FuGE-ML","support_links":[{"url":"http://fuge.sourceforge.net/dev/V1Final/FuGE-v1-SpecDoc.doc","type":"Help documentation"},{"url":"fuge-devel@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2005,"deprecation_date":"2022-09-08","deprecation_reason":"This resource is still available at its project repository, however it is no longer in active development."},"legacy_ids":["bsg-000075","bsg-s000075"],"name":"FAIRsharing record for: Functional Genomics Experiment Markup Language","abbreviation":"FuGE-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.namxfm","doi":"10.25504/FAIRsharing.namxfm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Functional genomics experiments present many challenges in data archiving, sharing and querying. As the size and complexity of data generated from such experiments grows, so does the requirement for standard data formats. To address these needs, the Functional Genomics Experiment [Object Model / Markup-Language] (FuGE-OM, FuGE-ML) has been created to facilitate the development of data standards.FuGE is a model of the shared components in different functional genomics domains. FuGE facilitates the development of data standards in functional genomics in two ways: 1. FuGE provides a model of common components in functional genomics investigations, such as materials, data, protocols, equipment and software. These models can be extended to develop modular data formats with consistent structure. 2. FuGE provides a framework for capturing complete laboratory workflows, enabling the integration of pre-existing data formats. In this context, FuGE allows the capture of additional metadata that gives formats a context within the complete workflow. FuGE is available as a UML model and an XML Schema","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12400}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Genomics","Proteomics"],"domains":["Reagent","Biological sample","Assay","Device"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":957,"pubmed_id":17921998,"title":"The Functional Genomics Experiment model (FuGE): an extensible framework for standards in functional genomics.","year":2007,"url":"http://doi.org/10.1038/nbt1347","authors":"Jones AR,Miller M,Aebersold R,Apweiler R,Ball CA,Brazma A,Degreef J,Hardy N,Hermjakob H,Hubbard SJ,Hussey P,Igra M,Jenkins H,Julian RK Jr,Laursen K,Oliver SG,Paton NW,Sansone SA,Sarkans U,Stoeckert CJ Jr,Taylor CF,Whetzel PL,White JA,Spellman P,Pizarro A","journal":"Nat Biotechnol","doi":"10.1038/nbt1347","created_at":"2021-09-30T08:24:05.855Z","updated_at":"2021-09-30T08:24:05.855Z"}],"licence_links":[],"grants":[{"id":7106,"fairsharing_record_id":1270,"organisation_id":1067,"relation":"maintains","created_at":"2021-09-30T09:28:25.915Z","updated_at":"2021-09-30T09:28:25.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":1067,"name":"FuGE working group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7107,"fairsharing_record_id":1270,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:25.954Z","updated_at":"2021-09-30T09:28:25.954Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7108,"fairsharing_record_id":1270,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:25.986Z","updated_at":"2021-09-30T09:31:50.956Z","grant_id":1354,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1P41HG003619","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1260","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:03:12.577Z","metadata":{"doi":"10.25504/FAIRsharing.zj6y9h","name":"Minimum Information About a Simulation Experiment","status":"ready","contacts":[],"homepage":"https://identifiers.org/combine.specifications:miase","citations":[{"doi":"10.1371/journal.pcbi.1001122","pubmed_id":21552546,"publication_id":1845}],"identifier":1260,"description":"The MIASE Guidelines, initiated by the BioModels.net effort, are a community effort to identify the Minimal Information About a Simulation Experiment, necessary to enable the reproducible simulation experiments. Consequently, the MIASE Guidelines list the information that a modeller needs to provide to enable the execution and reproduction of a numerical simulation experiment, derived from a given set of quantitative models. MIASE is a set of guidelines suitable for use with any structured format for simulation experiments. As such, MIASE is designed to help modelers and software tools to exchange their simulation settings and to foster collaboration.","abbreviation":"MIASE","support_links":[{"url":"http://mibbi.sf.net/projects/MIASE.shtml","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"http://sed-ml.org/","name":"Simulation Experiment Description Markup Language Resources"}]},"legacy_ids":["bsg-000187","bsg-s000187"],"name":"FAIRsharing record for: Minimum Information About a Simulation Experiment","abbreviation":"MIASE","url":"https://fairsharing.org/10.25504/FAIRsharing.zj6y9h","doi":"10.25504/FAIRsharing.zj6y9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MIASE Guidelines, initiated by the BioModels.net effort, are a community effort to identify the Minimal Information About a Simulation Experiment, necessary to enable the reproducible simulation experiments. Consequently, the MIASE Guidelines list the information that a modeller needs to provide to enable the execution and reproduction of a numerical simulation experiment, derived from a given set of quantitative models. MIASE is a set of guidelines suitable for use with any structured format for simulation experiments. As such, MIASE is designed to help modelers and software tools to exchange their simulation settings and to foster collaboration.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11179},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11600},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11734},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12078},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12226},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16936}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Life Science"],"domains":["Mathematical model","Annotation","Chemical entity","Modeling and simulation","Enzymatic reaction","Protein","Pathway model"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["France","Germany","India","New Zealand","South Africa","Switzerland","United Kingdom","United States"],"publications":[{"id":1845,"pubmed_id":21552546,"title":"Minimum Information About a Simulation Experiment (MIASE).","year":2011,"url":"http://doi.org/10.1371/journal.pcbi.1001122","authors":"Dagmar Waltemath, Richard Adams, Daniel A. Beard, Frank T. Bergmann, Upinder S. Bhalla, Randall Britten, Vijayalakshmi Chelliah, Michael T. Cooling, Jonathan Cooper, Edmund J. Crampin, Alan Garny, Stefan Hoops, Michael Hucka, Peter Hunter, Edda Klipp, Camille Laibe, Andrew K. Miller, Ion Moraru, David Nickerson, Poul Nielsen, Macha Nikolski, Sven Sahle, Herbert M. Sauro, Henning Schmidt, Jacky L. Snoep, Dominic Tolle, Olaf Wolkenhauer, Nicolas Le Novère","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1001122","created_at":"2021-09-30T08:25:47.197Z","updated_at":"2021-09-30T08:25:47.197Z"}],"licence_links":[],"grants":[{"id":7089,"fairsharing_record_id":1260,"organisation_id":920,"relation":"maintains","created_at":"2021-09-30T09:28:25.424Z","updated_at":"2021-09-30T09:28:25.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7091,"fairsharing_record_id":1260,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:25.477Z","updated_at":"2021-09-30T09:31:53.684Z","grant_id":1375,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01GM081070-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7086,"fairsharing_record_id":1260,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:28:25.347Z","updated_at":"2021-09-30T09:28:25.347Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7087,"fairsharing_record_id":1260,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:28:25.376Z","updated_at":"2021-09-30T09:28:25.376Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7090,"fairsharing_record_id":1260,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:28:25.450Z","updated_at":"2021-09-30T09:28:25.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7088,"fairsharing_record_id":1260,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:25.400Z","updated_at":"2021-09-30T09:30:58.458Z","grant_id":960,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"223920","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1261","type":"fairsharing_records","attributes":{"created_at":"2018-10-10T11:44:24.000Z","updated_at":"2022-07-20T12:48:01.324Z","metadata":{"doi":"10.25504/FAIRsharing.cfcf89","name":"ICAT Schema","status":"ready","homepage":"https://icatproject.org/user-documentation/icat-schema/","identifier":1261,"description":"The ICAT Schema, which is based on the CSMD, provides a metadata schema to support Large Facility experimental data, linking all aspects of the research chain from proposal through to publication.","abbreviation":"ICAT Schema","support_links":[{"url":"https://github.com/icatproject/icat.server/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2014},"legacy_ids":["bsg-001313","bsg-s001313"],"name":"FAIRsharing record for: ICAT Schema","abbreviation":"ICAT Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.cfcf89","doi":"10.25504/FAIRsharing.cfcf89","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ICAT Schema, which is based on the CSMD, provides a metadata schema to support Large Facility experimental data, linking all aspects of the research chain from proposal through to publication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Engineering Science","Biochemistry","Chemistry","Natural Science","Earth Science","Life Science","Materials Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1829,"relation":"undefined"}],"grants":[{"id":7093,"fairsharing_record_id":1261,"organisation_id":1235,"relation":"maintains","created_at":"2021-09-30T09:28:25.526Z","updated_at":"2021-09-30T09:28:25.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":1235,"name":"Helmholtz-Zentrum Berlin fur Materialien und Energie (HZB), Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7092,"fairsharing_record_id":1261,"organisation_id":446,"relation":"maintains","created_at":"2021-09-30T09:28:25.500Z","updated_at":"2021-09-30T09:28:25.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":446,"name":"Central Laser Facility (CLF), Science and Technology Facilities Council, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7094,"fairsharing_record_id":1261,"organisation_id":1557,"relation":"maintains","created_at":"2021-09-30T09:28:25.550Z","updated_at":"2021-09-30T09:28:25.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":1557,"name":"ISIS Neutron and Muon Source, Science and Technology Facilities Council","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1262","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T15:51:31.000Z","updated_at":"2022-07-20T12:29:35.954Z","metadata":{"doi":"10.25504/FAIRsharing.jq69k3","name":"World geographical scheme for recording plant distributions","status":"ready","contacts":[{"contact_name":"Justin F. Moat","contact_email":"J.Moat@kew.org"}],"homepage":"https://github.com/tdwg/prior-standards/tree/master/world-geographical-scheme-for-recording-plant-distributions","identifier":1262,"description":"In setting out to establish standards for data fields in botanical databases, the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) identified at an early stage of its existence a need for an agreed system of geographical units at approximately \"country\" level and upwards for use in recording plant distributions. This would aim to provide a standard which different organisations maintaining databases could adopt so that they could compare and exchange data with each other without loss of information due to incompatible geographical boundaries. The present publication has resulted from the deliberations over a period of three years of a committee of both taxonomic and applied botanists set up to produce such a standard. The system offered covers the whole world and identifies units at four levels, firstly continental, secondly regional (or subcontinental), thirdly at what may be called \"Botanical Country\" level (which may often ignore purely political considerations), and fourthly at a slightly lower level called \"Basic Recording Units\" where political integrity is fully recognised. In many cases, where Botanical Countries have no complicating political factors, the units at Level-3 and Level-4 are identical. Very large countries, however, have been subdivided into more conveniently sized units according to constituent states or provinces. It is a fundamental principle that units at all levels are bounded either by political boundaries which appear on modern maps or by coast lines. Modern geographical information systems have not superseded the need for such a scheme. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","abbreviation":null,"support_links":[{"url":"secretariat@tdwg.org","type":"Support email"},{"url":"http://lists.tdwg.org/mailman/listinfo","type":"Mailing list"}],"year_creation":1992},"legacy_ids":["bsg-000632","bsg-s000632"],"name":"FAIRsharing record for: World geographical scheme for recording plant distributions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jq69k3","doi":"10.25504/FAIRsharing.jq69k3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In setting out to establish standards for data fields in botanical databases, the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) identified at an early stage of its existence a need for an agreed system of geographical units at approximately \"country\" level and upwards for use in recording plant distributions. This would aim to provide a standard which different organisations maintaining databases could adopt so that they could compare and exchange data with each other without loss of information due to incompatible geographical boundaries. The present publication has resulted from the deliberations over a period of three years of a committee of both taxonomic and applied botanists set up to produce such a standard. The system offered covers the whole world and identifies units at four levels, firstly continental, secondly regional (or subcontinental), thirdly at what may be called \"Botanical Country\" level (which may often ignore purely political considerations), and fourthly at a slightly lower level called \"Basic Recording Units\" where political integrity is fully recognised. In many cases, where Botanical Countries have no complicating political factors, the units at Level-3 and Level-4 are identical. Very large countries, however, have been subdivided into more conveniently sized units according to constituent states or provinces. It is a fundamental principle that units at all levels are bounded either by political boundaries which appear on modern maps or by coast lines. Modern geographical information systems have not superseded the need for such a scheme. While this standard is still in use, it is no longer actively maintained (labelled as prior on the TDWG website).","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12280}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Botany","Biodiversity","Life Science"],"domains":["Geographical location"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1264","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:22.000Z","updated_at":"2022-07-20T10:47:52.873Z","metadata":{"doi":"10.25504/FAIRsharing.k3fp3g","name":"Read Clinical Terminology Version 2","status":"deprecated","contacts":[{"contact_name":"NHS Information Authority Loughborough","contact_email":"helpdesk3@nhsccc.exec.nhs.uk"}],"homepage":"https://digital.nhs.uk/article/1104/Read-Codes","identifier":1264,"description":"Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, and as such this record has been marked with a \"Deprecated\" status. CTV3 is due to be retired after the April 2018 release.","abbreviation":"Read v2","support_links":[{"url":"information.standards@hscic.gov.uk","name":"Contact Email","type":"Support email"}],"year_creation":1985,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RCTV2","name":"RCTV2","portal":"BioPortal"}],"deprecation_date":"2018-01-26","deprecation_reason":"This resource is deprecated. The last release of Read v2 was April 2016, with CTV3 due to be retired after the April 2018 release."},"legacy_ids":["bsg-000737","bsg-s000737"],"name":"FAIRsharing record for: Read Clinical Terminology Version 2","abbreviation":"Read v2","url":"https://fairsharing.org/10.25504/FAIRsharing.k3fp3g","doi":"10.25504/FAIRsharing.k3fp3g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. The Read Codes were developed in 1985 by Dr. James Read. The U.K. National Health Service Centre for Coding and Classification (NHS CCC) acquired and now maintains the Read Codes. Read Codes contain hundreds of thousands of terms, synonyms, and abbreviations covering all aspects of patient care including signs and symptoms, treatments and therapies, investigations, occupations, diagnoses, and drugs and appliances. Read Codes are used by healthcare professionals in computerized information systems. Read Codes are now known as Clinical Terms. PLEASE NOTE: the retirement of Read v2 and v3 (CTV3) clinical terminologies has been scheduled. The last release of Read v2 was April 2016, and as such this record has been marked with a \"Deprecated\" status. CTV3 is due to be retired after the April 2018 release.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Primary Health Care","Preclinical Studies"],"domains":["Drug","Diagnosis","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Government Licence (OGL)","licence_id":628,"licence_url":"http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/","link_id":1373,"relation":"undefined"}],"grants":[{"id":7095,"fairsharing_record_id":1264,"organisation_id":2903,"relation":"maintains","created_at":"2021-09-30T09:28:25.577Z","updated_at":"2021-09-30T09:28:25.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":2903,"name":"UK Terminology Centre (UKTC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1254","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T15:57:40.457Z","metadata":{"doi":"10.25504/FAIRsharing.ak8p5g","name":"MicroArray Gene Expression Tabular Format","status":"ready","contacts":[{"contact_name":"Contact support","contact_email":"fged.society@gmail.com","contact_orcid":null}],"homepage":"https://www.fged.org/projects/mage-tab","citations":[],"identifier":1254,"description":"Sharing of microarray data within the research community has been greatly facilitated by the development of the disclosure and communication standards MIAME and MAGE-ML by the FGED Society. However, the complexity of the MAGE-ML format has made its use impractical for laboratories lacking dedicated bioinformatics support. We propose a simple tab-delimited, spreadsheet-based format, MAGE-TAB, which will become a part of the MAGE microarray data standard and can be used for annotating and communicating microarray data in a MIAME compliant fashion. MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML","abbreviation":"MAGE-TAB","support_links":[{"url":"https://twitter.com/FGED","name":"@FGED","type":"Twitter"},{"url":"https://drive.google.com/file/d/1sRmLIhXjyZ6XYjkwJqsukSxRfxLrFEpX/view","name":"MAGE-TAB Specification, Version 1.1 (Released 2011-07-28)","type":"Other"},{"url":"https://www.fged.org/resources","name":"FGED Resources","type":"Help documentation"}],"year_creation":2006,"associated_tools":[{"url":"https://www.fged.org/projects/annotare","name":"Annotare"}]},"legacy_ids":["bsg-000080","bsg-s000080"],"name":"FAIRsharing record for: MicroArray Gene Expression Tabular Format","abbreviation":"MAGE-TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.ak8p5g","doi":"10.25504/FAIRsharing.ak8p5g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Sharing of microarray data within the research community has been greatly facilitated by the development of the disclosure and communication standards MIAME and MAGE-ML by the FGED Society. However, the complexity of the MAGE-ML format has made its use impractical for laboratories lacking dedicated bioinformatics support. We propose a simple tab-delimited, spreadsheet-based format, MAGE-TAB, which will become a part of the MAGE microarray data standard and can be used for annotating and communicating microarray data in a MIAME compliant fashion. MAGE-TAB will enable laboratories without bioinformatics experience or support to manage, exchange and submit well-annotated microarray data in a standard format using a spreadsheet. The MAGE-TAB format is self-contained, and does not require an understanding of MAGE-ML or XML","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11134},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11187},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11911}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Epigenomics","Genomics","Bioinformatics"],"domains":["Raw microarray data","Assay","Microarray experiment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","European Union"],"publications":[{"id":5,"pubmed_id":17087822,"title":"A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB.","year":2006,"url":"http://doi.org/10.1186/1471-2105-7-489","authors":"Rayner TF, Rocca-Serra P, Spellman PT, Causton HC, Farne A, Holloway E, Irizarry RA, Liu J, Maier DS, Miller M, Petersen K, Quackenbush J, Sherlock G, Stoeckert CJ Jr, White J, Whetzel PL, Wymore F, Parkinson H, Sarkans U, Ball CA, Brazma A","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-489","created_at":"2021-09-30T08:22:21.104Z","updated_at":"2021-09-30T08:22:21.104Z"}],"licence_links":[],"grants":[{"id":7079,"fairsharing_record_id":1254,"organisation_id":1070,"relation":"funds","created_at":"2021-09-30T09:28:25.152Z","updated_at":"2021-09-30T09:28:25.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":1070,"name":"Functional Genomics Data Society (FGED)","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1255","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-03-23T13:26:59.637Z","metadata":{"doi":"10.25504/FAIRsharing.j2np9m","name":"Menelas Project Top-Level Ontology","status":"ready","contacts":[{"contact_name":"Jean Charlet","contact_email":"jean.charlet@upmc.fr"}],"homepage":"https://bioportal.lirmm.fr/ontologies/TOP-MENELAS","citations":[],"identifier":1255,"description":"The two main goals MENELAS contributes to are to (i) Provide better account of and better access to medical information through natural languages in order to help physicians in their daily practice, and to (ii) Enhance European cooperation by multilingual access to standardised medical nomenclatures. The major achievements of MENELAS are the realisation of its two functional systems: (i) The Document Indexing System encodes free text PDSs into both an internal representation (a set of Conceptual Graphs) and international nomenclature codes (ICD-9-CM). Instances of the Document Indexing System have been realised for French, English and Dutch ; (ii) The Consultation System allows users to access the information contained in PDSs previously indexed by the Document Indexing System. The test domain for the project was coronary diseases. The existing prototype shows promising results for information retrieval from natural language PDSs and for automatically encoding PDSs into an existing classification such as ICD-9-CM. A set of components, tools, knowledge bases and methods has also been produced by the project. These include language-independent ontology and models for the domain of coronary diseases; conceptual description of the relevant ICD-9-CM codes. This ontology includes a top-ontology, a top-domain ontology and a domain ontology (Coronay diseases surgery). The menelas-top ontology here is the part of the whole ontology without any reference to medical domain.","abbreviation":"TOP-MENELAS","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TOP-MENELAS","name":"TOP-MENELAS","portal":"BioPortal"}]},"legacy_ids":["bsg-000803","bsg-s000803"],"name":"FAIRsharing record for: Menelas Project Top-Level Ontology","abbreviation":"TOP-MENELAS","url":"https://fairsharing.org/10.25504/FAIRsharing.j2np9m","doi":"10.25504/FAIRsharing.j2np9m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The two main goals MENELAS contributes to are to (i) Provide better account of and better access to medical information through natural languages in order to help physicians in their daily practice, and to (ii) Enhance European cooperation by multilingual access to standardised medical nomenclatures. The major achievements of MENELAS are the realisation of its two functional systems: (i) The Document Indexing System encodes free text PDSs into both an internal representation (a set of Conceptual Graphs) and international nomenclature codes (ICD-9-CM). Instances of the Document Indexing System have been realised for French, English and Dutch ; (ii) The Consultation System allows users to access the information contained in PDSs previously indexed by the Document Indexing System. The test domain for the project was coronary diseases. The existing prototype shows promising results for information retrieval from natural language PDSs and for automatically encoding PDSs into an existing classification such as ICD-9-CM. A set of components, tools, knowledge bases and methods has also been produced by the project. These include language-independent ontology and models for the domain of coronary diseases; conceptual description of the relevant ICD-9-CM codes. This ontology includes a top-ontology, a top-domain ontology and a domain ontology (Coronay diseases surgery). The menelas-top ontology here is the part of the whole ontology without any reference to medical domain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Vascular Surgery","Biomedical Science"],"domains":["Cardiovascular disease"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10447,"fairsharing_record_id":1255,"organisation_id":3927,"relation":"associated_with","created_at":"2023-03-23T13:26:48.332Z","updated_at":"2023-03-23T13:26:48.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":3927,"name":"Laboratoire d'Informatique Médicale et d'Ingénieurie des Connaissances en e-Santé (LIMICS)","types":["Lab"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1256","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:26.000Z","updated_at":"2023-11-08T13:17:20.144Z","metadata":{"doi":"10.25504/FAIRsharing.farr39","name":"G Protein-Coupled Receptor BioAssays Ontology","status":"ready","contacts":[{"contact_name":"Stephan Schurer","contact_email":"sschurer@med.miami.edu"}],"homepage":"http://www.bioassayontology.org/","citations":[],"identifier":1256,"description":"The G protein-coupled receptors (GPCRs) ontology describes pharmacology, biochemistry and physiology of these important and therapeutically promising class of academic and pharmaceutical research targets. Incorporation and comparison of various small molecule screening data sets, such as those deposited in PubChem, ChEMBL, KEGG, PDSP, and/or IUPHAR databases, requires a formalized electronic organization system. In order to bridge the gap between the overflow of HTS data and the bottleneck of integrated analysis tools, herein, we provide the first comprehensive GPCR ontology. The development and utility of GPCR ontology was based on previously developed BioAssay Ontology (BAO). The GPCR ontology contains information about biochemical, pharmacological, and functional properties of individual GPCRs as well as GPCR-selective ligands inclusive of their HTS screening results and other records. This ontology aims to model the relationship between the GPCR binding sites and their physiologic and pharmacologic role in physiology via small molecule chemical structures. ","abbreviation":"BAO-GPCR","support_links":[],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BAO-GPCR","name":"BAO-GPCR","portal":"BioPortal"}]},"legacy_ids":["bsg-000815","bsg-s000815"],"name":"FAIRsharing record for: G Protein-Coupled Receptor BioAssays Ontology","abbreviation":"BAO-GPCR","url":"https://fairsharing.org/10.25504/FAIRsharing.farr39","doi":"10.25504/FAIRsharing.farr39","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The G protein-coupled receptors (GPCRs) ontology describes pharmacology, biochemistry and physiology of these important and therapeutically promising class of academic and pharmaceutical research targets. Incorporation and comparison of various small molecule screening data sets, such as those deposited in PubChem, ChEMBL, KEGG, PDSP, and/or IUPHAR databases, requires a formalized electronic organization system. In order to bridge the gap between the overflow of HTS data and the bottleneck of integrated analysis tools, herein, we provide the first comprehensive GPCR ontology. The development and utility of GPCR ontology was based on previously developed BioAssay Ontology (BAO). The GPCR ontology contains information about biochemical, pharmacological, and functional properties of individual GPCRs as well as GPCR-selective ligands inclusive of their HTS screening results and other records. This ontology aims to model the relationship between the GPCR binding sites and their physiologic and pharmacologic role in physiology via small molecule chemical structures. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Biomedical Science"],"domains":["Small molecule binding","Small molecule","Receptor","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":978,"pubmed_id":25093074,"title":"Evolving BioAssay Ontology (BAO): modularization, integration and applications.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-S1-S5","authors":"Abeyruwan S,Vempati UD,Kucuk-McGinty H,Visser U,Koleti A,Mir A,Sakurai K,Chung C,Bittker JA,Clemons PA,Brudz S,Siripala A,Morales AJ,Romacker M,Twomey D,Bureeva S,Lemmon V,Schurer SC","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-S1-S5","created_at":"2021-09-30T08:24:08.230Z","updated_at":"2021-09-30T08:24:08.230Z"},{"id":2789,"pubmed_id":23155465,"title":"Formalization, annotation and analysis of diverse drug and probe screening assay datasets using the BioAssay Ontology (BAO).","year":2012,"url":"http://doi.org/10.1371/journal.pone.0049198","authors":"Vempati UD,Przydzial MJ,Chung C,Abeyruwan S,Mir A,Sakurai K,Visser U,Lemmon VP,Schurer SC","journal":"PLoS One","doi":"10.1371/journal.pone.0049198","created_at":"2021-09-30T08:27:42.915Z","updated_at":"2021-09-30T08:27:42.915Z"},{"id":2791,"pubmed_id":21702939,"title":"BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-257","authors":"Visser U,Abeyruwan S,Vempati U,Smith RP,Lemmon V,Schurer SC","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-257","created_at":"2021-09-30T08:27:43.197Z","updated_at":"2021-09-30T08:27:43.197Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":3410,"relation":"applies_to_content"}],"grants":[{"id":11079,"fairsharing_record_id":1256,"organisation_id":3790,"relation":"maintains","created_at":"2023-11-08T13:09:54.616Z","updated_at":"2023-11-08T13:09:54.616Z","grant_id":null,"is_lead":true,"saved_state":{"id":3790,"name":"University of Miami Institute for Data Science and Computing","types":["Research institute","University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1249","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T13:45:16.000Z","updated_at":"2021-11-24T13:18:10.043Z","metadata":{"doi":"10.25504/FAIRsharing.vd694s","name":"Agricultural Metadata Element Set","status":"deprecated","contacts":[],"homepage":"http://aims.fao.org/standards/agmes","citations":[],"identifier":1249,"description":"The Agricultural Metadata Element Set (AgMES) provides a solution to semantic data standards such as the description, resource discovery, interoperability and data exchange for different types of information resources. AgMES as a namespace is designed to include agriculture specific extensions for terms and refinements from established standard metadata namespaces like Dublin Core, AGLS etc.","abbreviation":"AgMES","support_links":[{"url":"http://aims.fao.org/standards/agmes/namespace-specification","name":"AgMES 1.1 Namespace Specification","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2018-10-03","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000706","bsg-s000706"],"name":"FAIRsharing record for: Agricultural Metadata Element Set","abbreviation":"AgMES","url":"https://fairsharing.org/10.25504/FAIRsharing.vd694s","doi":"10.25504/FAIRsharing.vd694s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agricultural Metadata Element Set (AgMES) provides a solution to semantic data standards such as the description, resource discovery, interoperability and data exchange for different types of information resources. AgMES as a namespace is designed to include agriculture specific extensions for terms and refinements from established standard metadata namespaces like Dublin Core, AGLS etc.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Agriculture"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7069,"fairsharing_record_id":1249,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:28:24.818Z","updated_at":"2021-09-30T09:28:24.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1250","type":"fairsharing_records","attributes":{"created_at":"2020-02-04T11:56:08.000Z","updated_at":"2022-07-20T10:56:25.586Z","metadata":{"name":"Ontology for Experimental Phenotypic Objects","status":"uncertain","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr"}],"homepage":"https://github.com/OpenSILEX/ontology-phis-oepo-field","citations":[],"identifier":1250,"description":"The Ontology for Experimental Phenotypic Objects (OEPO) describes objects involved in phenotyping experiments (e.g. infrastructure, devices, germplasm, scientific objects) and defines a hierarchy between them according to the specificities of the installations and experiments. The OEPO ontology contains three main groups of objects, namely Experimental Condition, Scientific Object, and Germplasm Descriptor. This resource remains available at the listed homepage, but attempts to contact the developers have not been successful. Therefore we have marked OEPO as uncertain. Please get in touch with us if you have any information regarding OEPO.","abbreviation":"OEPO","support_links":[{"url":"llorenc.cabrera-bosquet@inra.fr","name":"Lloren Cabrera-Bosquet","type":"Support email"},{"url":"https://github.com/OpenSILEX/ontology-phis-oepo-field/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2018},"legacy_ids":["bsg-001446","bsg-s001446"],"name":"FAIRsharing record for: Ontology for Experimental Phenotypic Objects","abbreviation":"OEPO","url":"https://fairsharing.org/fairsharing_records/1250","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology for Experimental Phenotypic Objects (OEPO) describes objects involved in phenotyping experiments (e.g. infrastructure, devices, germplasm, scientific objects) and defines a hierarchy between them according to the specificities of the installations and experiments. The OEPO ontology contains three main groups of objects, namely Experimental Condition, Scientific Object, and Germplasm Descriptor. This resource remains available at the listed homepage, but attempts to contact the developers have not been successful. Therefore we have marked OEPO as uncertain. Please get in touch with us if you have any information regarding OEPO.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Life Science"],"domains":["Experimental measurement","Protocol","Study design","Phenotype","Experimentally determined","Germplasm"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2747,"pubmed_id":30152011,"title":"Dealing with multi-source and multi-scale information in plant phenomics: the ontology-driven Phenotyping Hybrid Information System.","year":2018,"url":"http://doi.org/10.1111/nph.15385","authors":"Neveu P,Tireau A,Hilgert N,Negre V,Mineau-Cesari J,Brichet N,Chapuis R,Sanchez I,Pommier C,Charnomordic B,Tardieu F,Cabrera-Bosquet L","journal":"New Phytol","doi":"10.1111/nph.15385","created_at":"2021-09-30T08:27:37.605Z","updated_at":"2021-09-30T08:27:37.605Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2113,"relation":"undefined"}],"grants":[{"id":7071,"fairsharing_record_id":1250,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:24.890Z","updated_at":"2021-09-30T09:28:24.890Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1251","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:41.569Z","metadata":{"doi":"10.25504/FAIRsharing.qpyp5g","name":"Gating-ML","status":"ready","contacts":[{"contact_name":"Josef Spindlen","contact_email":"jspidlen@bccrc.ca"}],"homepage":"http://flowcyt.sourceforge.net/gating/","identifier":1251,"description":"The Gating-ML specification represents a proposal on how to form unambiguous XML-based gate definitions that may be used independently as well as included as one of the components of ACS. The specification supports rectangular gates in n dimensions (i.e., from one-dimensional range gates up to n-dimensional hyper-rectangular regions), polygon gates in two (and more) dimensions, ellipsoid gates in n dimensions, decision tree structures, and Boolean collections of any of the types of gates. Gates can be uniquely identified and may be ordered into a hierarchical structure to describe a gating strategy. Gates may be applied on parameters as in list mode data files (e.g., FCS files) or on transformed parameters as described by any explicit parameter transformation.","abbreviation":"Gating-ML","support_links":[{"url":"flowcyt-devel@lists.sourceforge.net","type":"Mailing list"},{"url":"http://sourceforge.net/projects/flowcyt/files/","type":"Help documentation"},{"url":"http://flowcyt.sourceforge.net/gating/latest.pdf","type":"Help documentation"}]},"legacy_ids":["bsg-000054","bsg-s000054"],"name":"FAIRsharing record for: Gating-ML","abbreviation":"Gating-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.qpyp5g","doi":"10.25504/FAIRsharing.qpyp5g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gating-ML specification represents a proposal on how to form unambiguous XML-based gate definitions that may be used independently as well as included as one of the components of ACS. The specification supports rectangular gates in n dimensions (i.e., from one-dimensional range gates up to n-dimensional hyper-rectangular regions), polygon gates in two (and more) dimensions, ellipsoid gates in n dimensions, decision tree structures, and Boolean collections of any of the types of gates. Gates can be uniquely identified and may be ordered into a hierarchical structure to describe a gating strategy. Gates may be applied on parameters as in list mode data files (e.g., FCS files) or on transformed parameters as described by any explicit parameter transformation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Flow cytometry assay","Data transformation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1323,"pubmed_id":25976062,"title":"ISAC's Gating-ML 2.0 data exchange standard for gating description.","year":2015,"url":"http://doi.org/10.1002/cyto.a.22690","authors":"Spidlen J,Moore W,Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.22690","created_at":"2021-09-30T08:24:48.042Z","updated_at":"2021-09-30T08:24:48.042Z"},{"id":1381,"pubmed_id":18773465,"title":"Gating-ML: XML-based gating descriptions in flow cytometry.","year":2008,"url":"http://doi.org/10.1002/cyto.a.20637","authors":"Spidlen J,Leif RC,Moore W,Roederer M,Brinkman RR","journal":"Cytometry A","doi":"10.1002/cyto.a.20637","created_at":"2021-09-30T08:24:54.442Z","updated_at":"2021-09-30T08:24:54.442Z"},{"id":1829,"pubmed_id":21385382,"title":"Flow cytometry data standards.","year":2011,"url":"http://doi.org/10.1186/1756-0500-4-50","authors":"Spidlen J,Shooshtari P,Kollmann TR,Brinkman RR","journal":"BMC Res Notes","doi":"10.1186/1756-0500-4-50","created_at":"2021-09-30T08:25:45.430Z","updated_at":"2021-09-30T08:25:45.430Z"}],"licence_links":[],"grants":[{"id":7074,"fairsharing_record_id":1251,"organisation_id":2778,"relation":"maintains","created_at":"2021-09-30T09:28:24.988Z","updated_at":"2021-09-30T09:28:24.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":2778,"name":"The Flow Informatics and Computational Cytometry Society (FICCS)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":7072,"fairsharing_record_id":1251,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:28:24.929Z","updated_at":"2021-09-30T09:29:13.252Z","grant_id":144,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 EB008400","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7073,"fairsharing_record_id":1251,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:28:24.959Z","updated_at":"2021-09-30T09:29:04.886Z","grant_id":84,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"1R01EB008400","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7991,"fairsharing_record_id":1251,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:30:16.530Z","updated_at":"2021-09-30T09:30:16.625Z","grant_id":632,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"EB005034","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1252","type":"fairsharing_records","attributes":{"created_at":"2016-11-01T13:24:52.000Z","updated_at":"2023-05-19T09:31:06.466Z","metadata":{"doi":"10.25504/FAIRsharing.s0k240","name":"Template for Intervention Description and Replication","status":"ready","contacts":[{"contact_name":"Sally Hopewell","contact_email":"sally.hopewell@csm.ox.ac.uk","contact_orcid":null}],"homepage":"https://www.equator-network.org/reporting-guidelines/tidier/","citations":[],"identifier":1252,"description":"To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The 12 item TIDieR checklist is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). For authors of reports of randomised trials, it is recommended that TIDieR is used in conjunction with the CONSORT checklist: when authors complete item 5 of the CONSORT checklist, they should insert “refer to TIDieR checklist” and provide a separate completed TIDieR checklist. Similarly, for authors submitting protocols of trials, the TIDieR checklist can be referred to when dealing with item 11 of the SPIRIT 2013 checklist (although TIDieR items 10 and 12 are not applicable to protocols as they cannot be completed until the study is complete).","abbreviation":"TIDieR","support_links":[{"url":"http://www.consort-statement.org/contact","type":"Contact form"},{"url":"http://www.equator-network.org/reporting-guidelines/tidier/","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-000684","bsg-s000684"],"name":"FAIRsharing record for: Template for Intervention Description and Replication","abbreviation":"TIDieR","url":"https://fairsharing.org/10.25504/FAIRsharing.s0k240","doi":"10.25504/FAIRsharing.s0k240","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The 12 item TIDieR checklist is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). For authors of reports of randomised trials, it is recommended that TIDieR is used in conjunction with the CONSORT checklist: when authors complete item 5 of the CONSORT checklist, they should insert “refer to TIDieR checklist” and provide a separate completed TIDieR checklist. Similarly, for authors submitting protocols of trials, the TIDieR checklist can be referred to when dealing with item 11 of the SPIRIT 2013 checklist (although TIDieR items 10 and 12 are not applicable to protocols as they cannot be completed until the study is complete).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12507}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Canada","France","United Kingdom"],"publications":[{"id":1738,"pubmed_id":24609605,"title":"Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide.","year":2014,"url":"http://doi.org/10.1136/bmj.g1687","authors":"Hoffmann TC,Glasziou PP,Boutron I,Milne R,Perera R,Moher D,Altman DG,Barbour V,Macdonald H,Johnston M,Lamb SE,Dixon-Woods M,McCulloch P,Wyatt JC,Chan AW,Michie S","journal":"BMJ","doi":"10.1136/bmj.g1687","created_at":"2021-09-30T08:25:34.996Z","updated_at":"2021-09-30T08:25:34.996Z"}],"licence_links":[],"grants":[{"id":7075,"fairsharing_record_id":1252,"organisation_id":2758,"relation":"maintains","created_at":"2021-09-30T09:28:25.018Z","updated_at":"2021-09-30T09:28:25.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":2758,"name":"The CONSORT Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1253","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.396Z","metadata":{"doi":"10.25504/FAIRsharing.5x3gnz","name":"Coding Symbols for a Thesaurus of Adverse Reaction Terms","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@ntis.gov"}],"homepage":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/CST/","identifier":1253,"description":"Coding Symbols for Thesaurus of Adverse Reaction Terms (COSTART). 5th ed. Rockville (MD). COSTART is used for coding, filing, and retrieving post-marketing adverse drug and biologic experience reports. COSTART is organized in body system and pathophysiology hierarchies, as well as a separate fetal/neonatal category of less than 20 terms. COSTART has been superseded by the Medical Dictionary for Regulatory Activities (MedDRA) Terminology.","abbreviation":"COSTART","support_links":[{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/CST/","type":"Help documentation"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/COSTART","name":"COSTART","portal":"BioPortal"}],"deprecation_date":"2016-05-26","deprecation_reason":"This resource has been been deprecated, with the last update being made in 1999."},"legacy_ids":["bsg-002595","bsg-s002595"],"name":"FAIRsharing record for: Coding Symbols for a Thesaurus of Adverse Reaction Terms","abbreviation":"COSTART","url":"https://fairsharing.org/10.25504/FAIRsharing.5x3gnz","doi":"10.25504/FAIRsharing.5x3gnz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Coding Symbols for Thesaurus of Adverse Reaction Terms (COSTART). 5th ed. Rockville (MD). COSTART is used for coding, filing, and retrieving post-marketing adverse drug and biologic experience reports. COSTART is organized in body system and pathophysiology hierarchies, as well as a separate fetal/neonatal category of less than 20 terms. COSTART has been superseded by the Medical Dictionary for Regulatory Activities (MedDRA) Terminology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Drug","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":1565,"relation":"undefined"}],"grants":[{"id":7076,"fairsharing_record_id":1253,"organisation_id":2952,"relation":"funds","created_at":"2021-09-30T09:28:25.042Z","updated_at":"2021-09-30T09:28:25.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":2952,"name":"United States Food and Drug Administration (FDA)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7078,"fairsharing_record_id":1253,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:28:25.114Z","updated_at":"2021-09-30T09:28:25.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1257","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.545Z","metadata":{"doi":"10.25504/FAIRsharing.mvbjrq","name":"CDISC Study/Trial Design Model","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/studytrial-design-model-xml/study-design-xml-version-1-0","identifier":1257,"description":"The CDISC Study/Trial Design Model in XML (SDM) is an extension of ODM and enables organizations to provide rigorous, machine-readable, interchangeable descriptions of the designs of their clinical studies, including treatment plans, eligibility and times and events. SDM defines three key sub-modules – Structure, Workflow, and Timing – permitting various levels of detail in any representation of a clinical study’s design.","abbreviation":"CDISC SDM","year_creation":2009},"legacy_ids":["bsg-000566","bsg-s000566"],"name":"FAIRsharing record for: CDISC Study/Trial Design Model","abbreviation":"CDISC SDM","url":"https://fairsharing.org/10.25504/FAIRsharing.mvbjrq","doi":"10.25504/FAIRsharing.mvbjrq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CDISC Study/Trial Design Model in XML (SDM) is an extension of ODM and enables organizations to provide rigorous, machine-readable, interchangeable descriptions of the designs of their clinical studies, including treatment plans, eligibility and times and events. SDM defines three key sub-modules – Structure, Workflow, and Timing – permitting various levels of detail in any representation of a clinical study’s design.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17390},{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11195},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11284},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11808},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12041},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12476}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Clinical Studies","Biomedical Science","Preclinical Studies"],"domains":["Cell line","Workflow","Protocol","Study design","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"CDISC Intellectual Property Policy","licence_id":110,"licence_url":"https://www.cdisc.org/sites/default/files/2020-09/cdisc_policy_003_intellectual_property_v2019.pdf","link_id":666,"relation":"undefined"}],"grants":[{"id":7082,"fairsharing_record_id":1257,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:25.242Z","updated_at":"2021-09-30T09:28:25.242Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7081,"fairsharing_record_id":1257,"organisation_id":1358,"relation":"maintains","created_at":"2021-09-30T09:28:25.218Z","updated_at":"2021-09-30T09:28:25.218Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1258","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.899Z","metadata":{"doi":"10.25504/FAIRsharing.zrmjr7","name":"Minimum Information about an array-based toxicogenomics experiment","status":"deprecated","contacts":[{"contact_name":"Susanna-Assunta Sansone","contact_email":"sansone@ebi.ac.uk"}],"homepage":"http://mibbi.sourceforge.net/projects/MIAME-Tox.shtml","identifier":1258,"description":"MIAME/Tox was developed to extend MIAME for array-based toxicogenomics experiments.","abbreviation":"MIAME/Tox","support_links":[{"url":"mged-tox@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2003,"deprecation_date":"2018-04-25","deprecation_reason":"This resource is no longer maintained."},"legacy_ids":["bsg-000191","bsg-s000191"],"name":"FAIRsharing record for: Minimum Information about an array-based toxicogenomics experiment","abbreviation":"MIAME/Tox","url":"https://fairsharing.org/10.25504/FAIRsharing.zrmjr7","doi":"10.25504/FAIRsharing.zrmjr7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME/Tox was developed to extend MIAME for array-based toxicogenomics experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11589},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11991},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16655}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Toxicogenomics","Life Science","Transcriptomics"],"domains":["Expression data","Ribonucleic acid","Small molecule","DNA microarray","Toxicity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":850,"pubmed_id":16901222,"title":"A strategy capitalizing on synergies: the Reporting Structure for Biological Investigation (RSBI) working group.","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.164","authors":"Sansone SA,Rocca-Serra P,Tong W,Fostel J,Morrison N,Jones AR","journal":"OMICS","doi":"10.1089/omi.2006.10.164","created_at":"2021-09-30T08:23:53.822Z","updated_at":"2021-09-30T08:23:53.822Z"}],"licence_links":[],"grants":[{"id":9258,"fairsharing_record_id":1258,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.887Z","updated_at":"2022-04-11T12:07:25.887Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1259","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2023-03-09T10:08:38.031Z","metadata":{"doi":"10.25504/FAIRsharing.wd8j2q","name":"bibliotek-o","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu"}],"homepage":"https://github.com/ld4l-labs/bibliotek-o","citations":[],"identifier":1259,"description":"bibliotek-o is an ontology framework for modeling bibliographic metadata based on the Library of Congress BIBFRAME ontology. It includes: the bibliotek-o ontology, which defines extensions and modifications to BIBFRAME and is intended to be used as a supplement to the core BIBFRAME ontology; a set of external ontology fragments (including BIBFRAME) intended for use with the bibliotek-o ontology; and a data model and application profile - i.e., a set of recommended models and patterns for expressing bibliographic metadata using BIBFRAME, the bibliotek-o ontology, and other external ontologies. bibliotek-o 2017-07-06 Release of Version 1.1.0 will remain frozen until further notice.","abbreviation":"bibliotek-o","support_links":[{"url":"https://github.com/ld4l-labs/bibliotek-o/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/ld4l-labs/bibliotek-o","name":"bibliotek-o GitHub Repository","type":"Github"},{"url":"https://bibliotek-o.org/overview/overview.html","name":"Overview Diagram","type":"Help documentation"},{"url":"https://bibliotek-o.org/overview/overview.html#","name":"Ontology Modules","type":"Help documentation"},{"url":"https://wiki.duraspace.org/display/LD4P/bibliotek-o","name":"bibliotek-o on LD4P","type":"Help documentation"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIBLIOTEK-O","name":"BIBLIOTEK-O","portal":"BioPortal"}]},"legacy_ids":["bsg-000943","bsg-s000943"],"name":"FAIRsharing record for: bibliotek-o","abbreviation":"bibliotek-o","url":"https://fairsharing.org/10.25504/FAIRsharing.wd8j2q","doi":"10.25504/FAIRsharing.wd8j2q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: bibliotek-o is an ontology framework for modeling bibliographic metadata based on the Library of Congress BIBFRAME ontology. It includes: the bibliotek-o ontology, which defines extensions and modifications to BIBFRAME and is intended to be used as a supplement to the core BIBFRAME ontology; a set of external ontology fragments (including BIBFRAME) intended for use with the bibliotek-o ontology; and a data model and application profile - i.e., a set of recommended models and patterns for expressing bibliographic metadata using BIBFRAME, the bibliotek-o ontology, and other external ontologies. bibliotek-o 2017-07-06 Release of Version 1.1.0 will remain frozen until further notice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computer Science","Subject Agnostic"],"domains":["Citation","Bibliography"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1252,"relation":"undefined"}],"grants":[{"id":7085,"fairsharing_record_id":1259,"organisation_id":95,"relation":"funds","created_at":"2021-09-30T09:28:25.317Z","updated_at":"2021-09-30T09:28:25.317Z","grant_id":null,"is_lead":false,"saved_state":{"id":95,"name":"Andrew W. Mellon Foundation, New York, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7084,"fairsharing_record_id":1259,"organisation_id":1718,"relation":"maintains","created_at":"2021-09-30T09:28:25.292Z","updated_at":"2021-09-30T09:28:25.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":1718,"name":"Linked Data for Production (LD4P), USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1272","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:29.834Z","metadata":{"doi":"10.25504/FAIRsharing.r87bgr","name":"CDISC Clinical Data Acquisition Standards Harmonization","status":"ready","contacts":[{"contact_name":"Ann White","contact_email":"info@cdisc.org"}],"homepage":"https://www.cdisc.org/standards/foundational/cdash","identifier":1272,"description":"CDASH establishes a standard way to collect data in a similar way across studies and sponsors so that data collection formats and structures provide clear traceability of submission data into the Study Data Tabulation Model (SDTM), delivering more transparency to regulators and others who conduct data review.","abbreviation":"CDISC CDASH","support_links":[{"url":"https://www.cdisc.org/education/course/cdash-implementation","name":"CDASH Implementation","type":"Training documentation"}]},"legacy_ids":["bsg-000053","bsg-s000053"],"name":"FAIRsharing record for: CDISC Clinical Data Acquisition Standards Harmonization","abbreviation":"CDISC CDASH","url":"https://fairsharing.org/10.25504/FAIRsharing.r87bgr","doi":"10.25504/FAIRsharing.r87bgr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDASH establishes a standard way to collect data in a similar way across studies and sponsors so that data collection formats and structures provide clear traceability of submission data into the Study Data Tabulation Model (SDTM), delivering more transparency to regulators and others who conduct data review.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17343},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11017},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11258},{"linking_record_name":"CDISC","linking_record_id":3525,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11800},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11914},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12390}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Data acquisition","Report"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7117,"fairsharing_record_id":1272,"organisation_id":1358,"relation":"undefined","created_at":"2021-09-30T09:28:26.376Z","updated_at":"2021-09-30T09:28:26.376Z","grant_id":null,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":7118,"fairsharing_record_id":1272,"organisation_id":389,"relation":"maintains","created_at":"2021-09-30T09:28:26.407Z","updated_at":"2021-09-30T09:28:26.407Z","grant_id":null,"is_lead":true,"saved_state":{"id":389,"name":"CDISC, Austin, TX, USA","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1273","type":"fairsharing_records","attributes":{"created_at":"2016-10-20T18:44:15.000Z","updated_at":"2021-11-24T13:18:46.668Z","metadata":{"doi":"10.25504/FAIRsharing.9xsgcr","name":"Phenotype eXchange Format","status":"ready","contacts":[{"contact_name":"Chris Mungall","contact_email":"cjm@berkeleybop.org"}],"homepage":"https://github.com/phenopackets/phenopacket-format","identifier":1273,"description":"The health of an individual organism results from a complex interplay between its genes and environment. Although great strides have been made in standardizing the representation of genetic information for exchange, there are no comparable standards to represent phenotypes (e.g. patient symptoms and disease features) and environmental factors (Figure 1). Phenotypic abnormalities of individual organisms are currently described in diverse places and in diverse formats: publications, databases, health records, registries, clinical trials, and even social media. However, the lack of standardization, accessibility, and computability among these contexts makes it extremely difficult to effectively extract and utilize these data, hindering the understanding of genetic and environmental contributions to disease.","abbreviation":"PXF","support_links":[{"url":"https://github.com/phenopackets/phenopacket-format/wiki/Tutorial","type":"Github"},{"url":"https://github.com/phenopackets/phenopacket-reference-implementation","type":"Github"},{"url":"https://github.com/phenopackets/phenopacket-format/wiki/Getting-Started","type":"Github"},{"url":"https://f1000research.com/slides/5-1649","type":"Help documentation"}],"year_creation":2015,"associated_tools":[{"url":"https://github.com/phenopackets/pxftools","name":"PXFtools command line utility"},{"url":"https://github.com/phenopackets/phenopacket-python","name":"Phenopacket Python"}]},"legacy_ids":["bsg-000681","bsg-s000681"],"name":"FAIRsharing record for: Phenotype eXchange Format","abbreviation":"PXF","url":"https://fairsharing.org/10.25504/FAIRsharing.9xsgcr","doi":"10.25504/FAIRsharing.9xsgcr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The health of an individual organism results from a complex interplay between its genes and environment. Although great strides have been made in standardizing the representation of genetic information for exchange, there are no comparable standards to represent phenotypes (e.g. patient symptoms and disease features) and environmental factors (Figure 1). Phenotypic abnormalities of individual organisms are currently described in diverse places and in diverse formats: publications, databases, health records, registries, clinical trials, and even social media. However, the lack of standardization, accessibility, and computability among these contexts makes it extremely difficult to effectively extract and utilize these data, hindering the understanding of genetic and environmental contributions to disease.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["All"],"user_defined_tags":["Species-environment interaction"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7119,"fairsharing_record_id":1273,"organisation_id":202,"relation":"maintains","created_at":"2021-09-30T09:28:26.446Z","updated_at":"2021-09-30T09:28:26.446Z","grant_id":null,"is_lead":false,"saved_state":{"id":202,"name":"Berkeley BOP (BBOP), Lawrence Berkeley National Labs (LBNL), Berkeley, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1274","type":"fairsharing_records","attributes":{"created_at":"2018-10-16T19:00:34.000Z","updated_at":"2022-07-20T09:14:41.504Z","metadata":{"doi":"10.25504/FAIRsharing.b7e5d8","name":"Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"fgdc@fgdc.gov"}],"homepage":"https://www.fgdc.gov/standards/projects/csdgm_rs_ex/remote-sensing-metadata","citations":[],"identifier":1274,"description":"This standard provides extensions to the Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata for describing geospatial data obtained from remote sensing.","abbreviation":"FGDC-STD-012-2002","support_links":[{"url":"https://twitter.com/fgdcgov","name":"Twitter","type":"Twitter"}],"year_creation":2002},"legacy_ids":["bsg-001328","bsg-s001328"],"name":"FAIRsharing record for: Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata","abbreviation":"FGDC-STD-012-2002","url":"https://fairsharing.org/10.25504/FAIRsharing.b7e5d8","doi":"10.25504/FAIRsharing.b7e5d8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard provides extensions to the Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata for describing geospatial data obtained from remote sensing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Geology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Geological mapping"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7120,"fairsharing_record_id":1274,"organisation_id":1001,"relation":"maintains","created_at":"2021-09-30T09:28:26.478Z","updated_at":"2021-09-30T09:28:26.478Z","grant_id":null,"is_lead":true,"saved_state":{"id":1001,"name":"Federal Geographic Data Committee (FGDC), Virginia, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1265","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-14T07:47:39.370Z","metadata":{"doi":"10.25504/FAIRsharing.qnkw45","name":"Medical Subject Headings","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"publicinfo@nlm.nih.gov"}],"homepage":"http://www.nlm.nih.gov/mesh/","citations":[],"identifier":1265,"description":"The Medical Subject Headings (MeSH®) thesaurus is a controlled vocabulary produced by the National Library of Medicine and used for indexing, cataloging, and searching for biomedical and health-related information and documents. MeSH includes the subject descriptors appearing in MEDLINE®/PubMed® and other NLM databases. MeSH provides a consistent way to find content with different terminology but the same concepts. Many synonyms, near-synonyms, and closely related concepts are included as entry terms to help users find the most relevant MeSH descriptor for the concept they are seeking. In NLM's online databases, many terms entered by searchers are automatically mapped to MeSH descriptors to facilitate retrieval of relevant information. Various online systems provide access to MeSH and the vocabulary is available in several NLM online systems. These include the MeSH Browser, containing the complete contents of the MeSH vocabulary; the MeSH Entrez databases, which are designed to assist those searching MEDLINE®/PubMed®; and the UMLS Metathesaurus® with links to many other controlled vocabularies. MeSH Records contain three types: Descriptors, Qualifiers, and Supplementary Concept Records (SCRs).","abbreviation":"MESH","support_links":[{"url":"https://pubmed.ncbi.nlm.nih.gov/help/#pubmedhelp.Searching_by_using_t","name":"PubMed User Guide","type":"Help documentation"},{"url":"https://learn.nlm.nih.gov/documentation/training-packets/T0042010P/","name":"PubMed® Online Training","type":"Training documentation"},{"url":"https://learn.nlm.nih.gov/documentation/training-packets/T000101112/","name":"Training Packets","type":"Training documentation"},{"url":"https://www.nlm.nih.gov/mesh/whatsnew.html","name":"News","type":"Blog/News"},{"url":"https://list.nih.gov/cgi-bin/wa.exe?SUBED1=NLM-MESH-ANNOUNCE\u0026A=1","name":"NLM MeSH Data News","type":"Mailing list"},{"url":"https://pubmed.ncbi.nlm.nih.gov/help/#using-mesh-database","name":"Using the MeSH database","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/mesh/meshhome.html","name":"Medical Subject Headings Homepage","type":"Other"},{"url":"https://www.nlm.nih.gov/mesh/introduction.html","name":"Introduction to MeSH","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/mesh/pubtypes.html","name":"MeSH Publication Types","type":"Help documentation"},{"url":"https://www.nlm.nih.gov/mesh/subhierarchy.html","name":"MeSH Qualifiers List","type":"Help documentation"}],"year_creation":1960,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MESH","name":"MESH","portal":"BioPortal"}]},"legacy_ids":["bsg-000294","bsg-s000294"],"name":"FAIRsharing record for: Medical Subject Headings","abbreviation":"MESH","url":"https://fairsharing.org/10.25504/FAIRsharing.qnkw45","doi":"10.25504/FAIRsharing.qnkw45","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Medical Subject Headings (MeSH®) thesaurus is a controlled vocabulary produced by the National Library of Medicine and used for indexing, cataloging, and searching for biomedical and health-related information and documents. MeSH includes the subject descriptors appearing in MEDLINE®/PubMed® and other NLM databases. MeSH provides a consistent way to find content with different terminology but the same concepts. Many synonyms, near-synonyms, and closely related concepts are included as entry terms to help users find the most relevant MeSH descriptor for the concept they are seeking. In NLM's online databases, many terms entered by searchers are automatically mapped to MeSH descriptors to facilitate retrieval of relevant information. Various online systems provide access to MeSH and the vocabulary is available in several NLM online systems. These include the MeSH Browser, containing the complete contents of the MeSH vocabulary; the MeSH Entrez databases, which are designed to assist those searching MEDLINE®/PubMed®; and the UMLS Metathesaurus® with links to many other controlled vocabularies. MeSH Records contain three types: Descriptors, Qualifiers, and Supplementary Concept Records (SCRs).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18250},{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17336},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17689},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11169},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12012},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12213},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13200},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13237},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13279}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Bioinformatics","Life Science","Biomedical Science"],"domains":["Data retrieval","Data model","Literature curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":866,"pubmed_id":13982385,"title":"Medical subject headings.","year":1963,"url":"https://www.ncbi.nlm.nih.gov/pubmed/13982385","authors":"ROGERS FB","journal":"Bull Med Libr Assoc","doi":null,"created_at":"2021-09-30T08:23:55.664Z","updated_at":"2021-09-30T08:23:55.664Z"}],"licence_links":[{"licence_name":"National Library of Medicine Terms and Conditions MeSH","licence_id":1059,"licence_url":"https://www.nlm.nih.gov/databases/download/terms_and_conditions_mesh.html","link_id":3227,"relation":"applies_to_content"},{"licence_name":"UMLS Terminology Services (UTS) License Agreement","licence_id":1060,"licence_url":"https://uts.nlm.nih.gov/uts/assets/LicenseAgreement.pdf","link_id":3228,"relation":"applies_to_content"}],"grants":[{"id":7096,"fairsharing_record_id":1265,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:25.600Z","updated_at":"2021-09-30T09:28:25.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1275","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-06T12:31:00.258Z","metadata":{"doi":"10.25504/FAIRsharing.aae3v6","name":"Infectious Disease Ontology Core","status":"deprecated","contacts":[{"contact_name":"Lindsay Cowell","contact_email":"Lindsay.Cowell@utsouthwestern.edu","contact_orcid":"0000-0003-1617-8244"},{"contact_name":"John Beverley","contact_email":"johnbeverley2021@u.northwestern.edu","contact_orcid":"0000-0002-1118-1738"},{"contact_name":"Shane Babcock","contact_email":"babcock8@buffalo.edu","contact_orcid":"0000-0003-0798-114X"}],"homepage":"https://github.com/infectious-disease-ontology/infectious-disease-ontology","citations":[],"identifier":1275,"description":"The IDO ontologies are designed as a set of interoperable ontologies that will together provide coverage of the infectious disease domain. At the core of the set is a general Infectious Disease Ontology (IDO-Core) of entities relevant to both biomedical and clinical aspects of most infectious diseases. Sub-domain specific extensions of IDO-Core complete the set providing ontology coverage of entities relevant to specific pathogens or diseases. Please note that, while the ontology remains available at https://github.com/infectious-disease-ontology/infectious-disease-ontology, it has not been updated in 5 years and should be used with care. Further, the original homepages provided by the resource developers (http://infectiousdiseaseontology.org/ and https://www.bioontology.org//wiki/Index.php/Infectious_Disease_Ontology) are either unavailable or empty.","abbreviation":"IDO","support_links":[{"url":"https://github.com/infectious-disease-ontology/infectious-disease-ontology","name":"IDO on GitHub","type":"Github"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IDO","name":"IDO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ido.html","name":"ido","portal":"OBO Foundry"}],"deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000095","bsg-s000095"],"name":"FAIRsharing record for: Infectious Disease Ontology Core","abbreviation":"IDO","url":"https://fairsharing.org/10.25504/FAIRsharing.aae3v6","doi":"10.25504/FAIRsharing.aae3v6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IDO ontologies are designed as a set of interoperable ontologies that will together provide coverage of the infectious disease domain. At the core of the set is a general Infectious Disease Ontology (IDO-Core) of entities relevant to both biomedical and clinical aspects of most infectious diseases. Sub-domain specific extensions of IDO-Core complete the set providing ontology coverage of entities relevant to specific pathogens or diseases. Please note that, while the ontology remains available at https://github.com/infectious-disease-ontology/infectious-disease-ontology, it has not been updated in 5 years and should be used with care. Further, the original homepages provided by the resource developers (http://infectiousdiseaseontology.org/ and https://www.bioontology.org//wiki/Index.php/Infectious_Disease_Ontology) are either unavailable or empty.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12203},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12412}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Molecular Infection Biology","Biomedical Science","Preclinical Studies"],"domains":["Disease process modeling","Disease","Classification"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":4162,"pubmed_id":34275487,"title":"The Infectious Disease Ontology in the age of COVID-19.","year":2021,"url":"https://doi.org/10.1186/s13326-021-00245-1","authors":"Babcock S, Beverley J, Cowell LG, Smith B","journal":"Journal of biomedical semantics","doi":"10.1186/s13326-021-00245-1","created_at":"2024-02-29T21:47:32.645Z","updated_at":"2024-02-29T21:47:32.645Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":3516,"relation":"applies_to_content"}],"grants":[{"id":7123,"fairsharing_record_id":1275,"organisation_id":1339,"relation":"maintains","created_at":"2021-09-30T09:28:26.600Z","updated_at":"2021-09-30T09:28:26.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":1339,"name":"Infectious Disease Ontology (IDO) administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7121,"fairsharing_record_id":1275,"organisation_id":335,"relation":"funds","created_at":"2021-09-30T09:28:26.516Z","updated_at":"2021-09-30T09:28:26.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":335,"name":"Burroughs Wellcome Fund","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7122,"fairsharing_record_id":1275,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:28:26.558Z","updated_at":"2021-09-30T09:28:26.558Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1271","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:32.000Z","updated_at":"2021-11-24T13:16:15.891Z","metadata":{"doi":"10.25504/FAIRsharing.2rm2b3","name":"W3C Provenance Ontology","status":"ready","contacts":[{"contact_name":"Timothy Lebo","contact_email":"lebot@rpi.edu"}],"homepage":"http://www.w3.org/TR/prov-o/","identifier":1271,"description":"The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language (OWL2). It is intended for the Linked Data and Semantic Web community. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. PROV-O is one serialization of PROV-DM, the other two being PROV-N and PROV-XML. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-DC provides a mapping from Dublin Core to PROV-O, and is listed in this record. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-O","support_links":[{"url":"team-prov-chairs@w3.org","name":"Provenance Working Group","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-aq/","name":"PROV-AQ: Access and Query","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-dc/","name":"PROV-DC: Links Dublin Core to PROV-O","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PROVO","name":"PROVO","portal":"BioPortal"}]},"legacy_ids":["bsg-000928","bsg-s000928"],"name":"FAIRsharing record for: W3C Provenance Ontology","abbreviation":"PROV-O","url":"https://fairsharing.org/10.25504/FAIRsharing.2rm2b3","doi":"10.25504/FAIRsharing.2rm2b3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PROV Ontology (PROV-O) expresses the PROV Data Model using the OWL2 Web Ontology Language (OWL2). It is intended for the Linked Data and Semantic Web community. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. PROV-O is one serialization of PROV-DM, the other two being PROV-N and PROV-XML. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-DC provides a mapping from Dublin Core to PROV-O, and is listed in this record. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17353},{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12943},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13195},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13232},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13283},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13342},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16969}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Spain","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":345,"relation":"undefined"}],"grants":[{"id":7109,"fairsharing_record_id":1271,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:26.024Z","updated_at":"2021-09-30T09:28:26.024Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7111,"fairsharing_record_id":1271,"organisation_id":2249,"relation":"maintains","created_at":"2021-09-30T09:28:26.192Z","updated_at":"2021-09-30T09:28:26.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":2249,"name":"Ontology Engineering Group, Universidad Politecnica de Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7114,"fairsharing_record_id":1271,"organisation_id":379,"relation":"maintains","created_at":"2021-09-30T09:28:26.295Z","updated_at":"2021-09-30T09:28:26.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":379,"name":"Case Western Reserve University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7110,"fairsharing_record_id":1271,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:26.137Z","updated_at":"2021-09-30T09:28:26.137Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7112,"fairsharing_record_id":1271,"organisation_id":3004,"relation":"maintains","created_at":"2021-09-30T09:28:26.229Z","updated_at":"2021-09-30T09:28:26.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":3004,"name":"University of Aberdeen, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7113,"fairsharing_record_id":1271,"organisation_id":2421,"relation":"maintains","created_at":"2021-09-30T09:28:26.262Z","updated_at":"2021-09-30T09:28:26.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":2421,"name":"Rensselaer Polytechnic Institute, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7115,"fairsharing_record_id":1271,"organisation_id":3052,"relation":"maintains","created_at":"2021-09-30T09:28:26.327Z","updated_at":"2021-09-30T09:28:26.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":3052,"name":"University of Edinburgh, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7116,"fairsharing_record_id":1271,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:26.351Z","updated_at":"2021-09-30T09:28:26.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1342","type":"fairsharing_records","attributes":{"created_at":"2016-12-02T03:00:51.000Z","updated_at":"2023-03-28T07:39:04.037Z","metadata":{"doi":"10.25504/FAIRsharing.31hec1","name":"Minimal information about Adaptive Immune Receptor Repertoire","status":"ready","contacts":[{"contact_name":"AIRR Community Standards Working Group","contact_email":"standards@airr-community.org","contact_orcid":null}],"homepage":"https://github.com/airr-community/airr-standards","citations":[{"doi":"10.1038/ni.3873","pubmed_id":29144493,"publication_id":2556}],"identifier":1342,"description":"Minimal information about Adaptive Immune Receptor Repertoire (MiAIRR) is a checklist of minimally required information that we recommend journals adopt, and that could form the requirements for submission to a public data repository. AIRR sequencing studies apply high-throughput sequencing technologies to profile B cell receptors (BCRs) and T cell receptors (TCRs). The standards were developed by the AIRR Community (http://airr-community.org) Minimal Standards Working Group.","abbreviation":"MiAIRR","support_links":[{"url":"https://github.com/airr-community/airr-standards/blob/master/specs/airr-schema.yaml","name":"YAML file for AIRR Standards","type":"Github"}],"year_creation":2016},"legacy_ids":["bsg-000689","bsg-s000689"],"name":"FAIRsharing record for: Minimal information about Adaptive Immune Receptor Repertoire","abbreviation":"MiAIRR","url":"https://fairsharing.org/10.25504/FAIRsharing.31hec1","doi":"10.25504/FAIRsharing.31hec1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal information about Adaptive Immune Receptor Repertoire (MiAIRR) is a checklist of minimally required information that we recommend journals adopt, and that could form the requirements for submission to a public data repository. AIRR sequencing studies apply high-throughput sequencing technologies to profile B cell receptors (BCRs) and T cell receptors (TCRs). The standards were developed by the AIRR Community (http://airr-community.org) Minimal Standards Working Group.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11819}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunogenetics","Immunology","Life Science"],"domains":["Immunoglobulin complex","T cell receptor complex","Antibody","Sequencing","Immune system"],"taxonomies":["Gnathostomata"],"user_defined_tags":[],"countries":["Canada","France","Germany","Luxembourg","United States"],"publications":[{"id":2556,"pubmed_id":29144493,"title":"Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data.","year":2017,"url":"http://doi.org/10.1038/ni.3873","authors":"Rubelt F,Busse CE,Bukhari SAC,Burckert JP,Mariotti-Ferrandiz E,Cowell LG,Watson CT,Marthandan N,Faison WJ,Hershberg U,Laserson U,Corrie BD,Davis MM,Peters B,Lefranc MP,Scott JK,Breden F,Luning Prak ET,Kleinstein SH","journal":"Nat Immunol","doi":"10.1038/ni.3873","created_at":"2021-09-30T08:27:13.455Z","updated_at":"2021-09-30T08:27:13.455Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":885,"relation":"undefined"}],"grants":[{"id":7264,"fairsharing_record_id":1342,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:31.785Z","updated_at":"2021-09-30T09:28:31.785Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1343","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-14T15:12:52.319Z","metadata":{"doi":"10.25504/FAIRsharing.qaee9n","name":"ChemDraw Native File Format","status":"ready","contacts":[],"homepage":"https://en.wikipedia.org/wiki/CDX_Format","citations":[],"identifier":1343,"description":"CDX is the native file format of ChemDraw, and is guaranteed to save anything drawn in ChemDraw without loss of data. At the same time, however, its architecture was carefully designed to make it a flexible and general-purpose chemical format. It is intended to be a practical choice for use by non-graphical programs, i.e. ones dealing in connection tables rather than desktop publishing. Because of its ability to incorporate custom information, and because it is in the public domain, CDX has been adopted by the U.S. Patent Office as its standard chemical format. Originally developed by the CambridgeSoft Corporation, and later a subsidiary of PerkinElmer, it is now part of Revvity Signals (https://revvitysignals.com/products/research/chemdraw). Currently, the CDX specification is unavailable on the Revvity Signals website, and so the best solution is to point to the wikipedia page for now. Please get in touch with us if you have an authoritative URL for the specification, or this record's status may need to be revised.","abbreviation":"CDX","support_links":[{"url":"http://www.cambridgesoft.com/contact/support/form/","name":"Support / Contact Form","type":"Contact form"},{"url":"http://www.cambridgesoft.com/support/","name":"Support and Help","type":"Help documentation"}]},"legacy_ids":["bsg-000218","bsg-s000218"],"name":"FAIRsharing record for: ChemDraw Native File Format","abbreviation":"CDX","url":"https://fairsharing.org/10.25504/FAIRsharing.qaee9n","doi":"10.25504/FAIRsharing.qaee9n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CDX is the native file format of ChemDraw, and is guaranteed to save anything drawn in ChemDraw without loss of data. At the same time, however, its architecture was carefully designed to make it a flexible and general-purpose chemical format. It is intended to be a practical choice for use by non-graphical programs, i.e. ones dealing in connection tables rather than desktop publishing. Because of its ability to incorporate custom information, and because it is in the public domain, CDX has been adopted by the U.S. Patent Office as its standard chemical format. Originally developed by the CambridgeSoft Corporation, and later a subsidiary of PerkinElmer, it is now part of Revvity Signals (https://revvitysignals.com/products/research/chemdraw). Currently, the CDX specification is unavailable on the Revvity Signals website, and so the best solution is to point to the wikipedia page for now. Please get in touch with us if you have an authoritative URL for the specification, or this record's status may need to be revised.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11733}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Molecular structure","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":7265,"fairsharing_record_id":1343,"organisation_id":2307,"relation":"maintains","created_at":"2021-09-30T09:28:31.817Z","updated_at":"2021-09-30T09:28:31.817Z","grant_id":null,"is_lead":false,"saved_state":{"id":2307,"name":"PerkinElmer Inc","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1344","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T11:27:10.000Z","updated_at":"2022-02-08T10:28:45.288Z","metadata":{"doi":"10.25504/FAIRsharing.fe7cda","name":"W3C Provenance XML Schema","status":"ready","contacts":[{"contact_name":"Luc Moreau","contact_email":"l.moreau@ecs.soton.ac.uk","contact_orcid":"0000-0001-5418-6881"}],"homepage":"http://www.w3.org/TR/prov-xml/","identifier":1344,"description":"PROV-XML defines an XML schema for the provenance data model (PROV-DM). This is intended for developers who need a native XML serialization of the PROV data model. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-XML","support_links":[{"url":"team-prov-chairs@w3.org","name":"Provenance Working Group","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001294","bsg-s001294"],"name":"FAIRsharing record for: W3C Provenance XML Schema","abbreviation":"PROV-XML","url":"https://fairsharing.org/10.25504/FAIRsharing.fe7cda","doi":"10.25504/FAIRsharing.fe7cda","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROV-XML defines an XML schema for the provenance data model (PROV-DM). This is intended for developers who need a native XML serialization of the PROV data model. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1855,"relation":"undefined"}],"grants":[{"id":7267,"fairsharing_record_id":1344,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:31.884Z","updated_at":"2021-09-30T09:28:31.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7266,"fairsharing_record_id":1344,"organisation_id":3122,"relation":"maintains","created_at":"2021-09-30T09:28:31.850Z","updated_at":"2021-09-30T09:28:31.850Z","grant_id":null,"is_lead":false,"saved_state":{"id":3122,"name":"University of Southampton, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1345","type":"fairsharing_records","attributes":{"created_at":"2018-06-29T17:49:00.000Z","updated_at":"2021-11-24T13:18:47.207Z","metadata":{"name":"mirGFF3","status":"in_development","contacts":[{"contact_name":"Lorena Pantano","contact_email":"lpantano@iscb.org","contact_orcid":"0000-0002-3859-3249"}],"homepage":"https://github.com/miRTop/mirGFF3","identifier":1345,"description":"Define a GFF3 format for output of small RNA pipelines. Here, we present a community based, open source project to work toward the standardization of miRNA pipelines and encourage the development of downstream tools for visualization, differential expression, sample clustering, and model prediction analyses. This project is an international collaboration, with experts from different countries that have been developing miRNA pipelines and resources. We have described a standard format for the output of miRNA detection and quantification tools using small RNA-seq data. The format is based on the GFF3 standard in order to support reference coordinates and parent/child relationships between the features. The format contains information foreach sequence and its annotation to the miRNA precursor, the definition of reference or isomiR sequence, its quality, the isomiR type, and abundance in the data set. Moreover, we support a command line python tool to manage the miRNA GFF3 format (miRTop). Currently, miRTop can convert the output of commonly used small RNA-Seq pipelines, such as seqbuster, isomiR-SEA, sRNAbench, and Prost!, as well as BAM files to the miRNA GFF3 format. Importantly, the miRge pipeline has adapted the GFF3 format natively. miRTop can convert miRNA GFF3 files to a count matrix that can be easily imported to any downstream tool (i.e. for differential expression analysis).","abbreviation":"mirGFF3","support_links":[{"url":"https://github.com/miRTop/mirtop/issues","name":"issues with API","type":"Github"},{"url":"https://github.com/miRTop/incubator/issues","name":"issues","type":"Github"}],"year_creation":2017,"associated_tools":[{"url":"https://mirtop.readthedocs.io/en/latest/","name":"mirtop 0.3"}]},"legacy_ids":["bsg-001218","bsg-s001218"],"name":"FAIRsharing record for: mirGFF3","abbreviation":"mirGFF3","url":"https://fairsharing.org/fairsharing_records/1345","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Define a GFF3 format for output of small RNA pipelines. Here, we present a community based, open source project to work toward the standardization of miRNA pipelines and encourage the development of downstream tools for visualization, differential expression, sample clustering, and model prediction analyses. This project is an international collaboration, with experts from different countries that have been developing miRNA pipelines and resources. We have described a standard format for the output of miRNA detection and quantification tools using small RNA-seq data. The format is based on the GFF3 standard in order to support reference coordinates and parent/child relationships between the features. The format contains information foreach sequence and its annotation to the miRNA precursor, the definition of reference or isomiR sequence, its quality, the isomiR type, and abundance in the data set. Moreover, we support a command line python tool to manage the miRNA GFF3 format (miRTop). Currently, miRTop can convert the output of commonly used small RNA-Seq pipelines, such as seqbuster, isomiR-SEA, sRNAbench, and Prost!, as well as BAM files to the miRNA GFF3 format. Importantly, the miRge pipeline has adapted the GFF3 format natively. miRTop can convert miRNA GFF3 files to a count matrix that can be easily imported to any downstream tool (i.e. for differential expression analysis).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12537}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Transcriptomics"],"domains":["RNA sequencing","Micro RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy","Norway","Spain","United States"],"publications":[],"licence_links":[{"licence_name":"mirGFF3 MIT License Document","licence_id":515,"licence_url":"https://github.com/miRTop/mirtop/blob/master/LICENSE","link_id":1353,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1354,"relation":"undefined"}],"grants":[{"id":7268,"fairsharing_record_id":1345,"organisation_id":1878,"relation":"maintains","created_at":"2021-09-30T09:28:31.918Z","updated_at":"2021-09-30T09:28:31.918Z","grant_id":null,"is_lead":true,"saved_state":{"id":1878,"name":"miRNA-Transcriptomic Open Project (miRTOP)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1346","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:48:42.939Z","metadata":{"doi":"10.25504/FAIRsharing.g201pt","name":"Agri-Food Experiment Ontology","status":"uncertain","contacts":[{"contact_name":"Anne Tireau","contact_email":"anne.tireau@supagro.inra.fr","contact_orcid":"0000-0001-8501-6922"}],"homepage":"http://agroportal.lirmm.fr/ontologies/AFEO","citations":[{"doi":"10.1016/j.compag.2017.06.020","publication_id":1148}],"identifier":1346,"description":"The Agri-Food Experiment Ontology (AFEO) is based on two existing ontology resources, OAE (Ontology for Agriculture Experiment) and OFPE (Ontology for Food Processing Experiment). It covers various viticultural practices, winemaking products and operations. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","abbreviation":"AFEO","year_creation":2016},"legacy_ids":["bsg-001110","bsg-s001110"],"name":"FAIRsharing record for: Agri-Food Experiment Ontology","abbreviation":"AFEO","url":"https://fairsharing.org/10.25504/FAIRsharing.g201pt","doi":"10.25504/FAIRsharing.g201pt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agri-Food Experiment Ontology (AFEO) is based on two existing ontology resources, OAE (Ontology for Agriculture Experiment) and OFPE (Ontology for Food Processing Experiment). It covers various viticultural practices, winemaking products and operations. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Agriculture","Life Science","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Indonesia"],"publications":[{"id":1148,"pubmed_id":null,"title":"A generic ontological network for Agri-food experiment integration – Application to viticulture and winemaking","year":2017,"url":"http://doi.org/10.1016/j.compag.2017.06.020","authors":"Aunur Rofiq Muljarto, Jean-Michel Salmon, Brigitte Charnomordic, Patrice Buche, Anne Tireau, Pascal Neveu","journal":"Computers and Electronics in Agriculture, Volume 140, pages 433-442","doi":"10.1016/j.compag.2017.06.020","created_at":"2021-09-30T08:24:27.622Z","updated_at":"2021-09-30T08:24:27.622Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1471,"relation":"undefined"}],"grants":[{"id":7270,"fairsharing_record_id":1346,"organisation_id":1880,"relation":"maintains","created_at":"2021-09-30T09:28:31.966Z","updated_at":"2021-09-30T09:28:31.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":1880,"name":"MISTEA Research Laboratory, Institut national de la recherche agronomique (INRA), Paris, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7269,"fairsharing_record_id":1346,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:28:31.941Z","updated_at":"2021-09-30T09:28:31.941Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7271,"fairsharing_record_id":1346,"organisation_id":665,"relation":"maintains","created_at":"2021-09-30T09:28:31.991Z","updated_at":"2021-09-30T09:28:31.991Z","grant_id":null,"is_lead":false,"saved_state":{"id":665,"name":"Department of Agroindustrial Technology, Brawijaya University, Indonesia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1347","type":"fairsharing_records","attributes":{"created_at":"2016-11-25T10:52:40.000Z","updated_at":"2021-11-24T13:18:47.286Z","metadata":{"doi":"10.25504/FAIRsharing.bfqdc8","name":"Generic Feature Format Version 2","status":"deprecated","homepage":"http://gmod.org/wiki/GFF2","identifier":1347,"description":"GFF2 is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3. Unfortunately, data is sometimes only available in GFF2 format. GFF2 has a number of shortcomings compared to GFF3. GFF2 can only represent 2 level feature hierarchies, while GFF3 can support arbitrary levels. GFF2 also does not require that column 3, the feature type, be part of the sequence ontology. It can be any string. This often led to quality control and data exchange problems. The GFF format is a flat tab-delimited file, each line of which corresponds to an annotation, or feature. Each line has nine columns.","abbreviation":"GFF2","deprecation_date":"2016-11-25","deprecation_reason":"According to the GMOD website, this format has been superseded by GFF3 (https://biosharing.org/bsg-s000235)."},"legacy_ids":["bsg-000688","bsg-s000688"],"name":"FAIRsharing record for: Generic Feature Format Version 2","abbreviation":"GFF2","url":"https://fairsharing.org/10.25504/FAIRsharing.bfqdc8","doi":"10.25504/FAIRsharing.bfqdc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GFF2 is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3. Unfortunately, data is sometimes only available in GFF2 format. GFF2 has a number of shortcomings compared to GFF3. GFF2 can only represent 2 level feature hierarchies, while GFF3 can support arbitrary levels. GFF2 also does not require that column 3, the feature type, be part of the sequence ontology. It can be any string. This often led to quality control and data exchange problems. The GFF format is a flat tab-delimited file, each line of which corresponds to an annotation, or feature. Each line has nine columns.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"GNU Free Documentation License","licence_id":353,"licence_url":"http://www.gnu.org/licenses/fdl-1.3.html","link_id":52,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1358","type":"fairsharing_records","attributes":{"created_at":"2018-10-04T10:55:03.000Z","updated_at":"2022-07-20T09:10:14.284Z","metadata":{"doi":"10.25504/FAIRsharing.10bab4","name":"CSV Dialect Description Format","status":"ready","contacts":[],"homepage":"http://frictionlessdata.io/specs/csv-dialect/","citations":[],"identifier":1358,"description":"CSV Dialect defines a simple format to describe the various dialects of CSV files in a language agnostic manner. It aims to deal with a reasonably large subset of the features which differ between dialects, such as terminator strings, quoting rules, escape rules and so on. The specification has been modeled around the union of the csv modules in Python and Ruby, and the bulk load capabilities of MySQL and PostgresQL. CSV Dialect has nothing to do with the names, contents or types of the headers or data within the CSV file, only how it is formatted. However, CSV Dialect does allow the presence or absence of a header to be specified, similarly to RFC4180. CSV Dialect is also orthogonal to the character encoding used in the CSV file. Note that it is possible for files in CSV format to contain data in more than one encoding.","abbreviation":"CSV-DDF","support_links":[{"url":"https://discuss.okfn.org/c/frictionless-data","name":"Frictionless Data Forum","type":"Forum"},{"url":"http://frictionlessdata.io/data-packages/","name":"Data Packages Explained","type":"Help documentation"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/frictionlessdata/datapackage-js","name":"JavaScript library"},{"url":"https://github.com/frictionlessdata/datapackage-py","name":"Python library"}]},"legacy_ids":["bsg-001303","bsg-s001303"],"name":"FAIRsharing record for: CSV Dialect Description Format","abbreviation":"CSV-DDF","url":"https://fairsharing.org/10.25504/FAIRsharing.10bab4","doi":"10.25504/FAIRsharing.10bab4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CSV Dialect defines a simple format to describe the various dialects of CSV files in a language agnostic manner. It aims to deal with a reasonably large subset of the features which differ between dialects, such as terminator strings, quoting rules, escape rules and so on. The specification has been modeled around the union of the csv modules in Python and Ruby, and the bulk load capabilities of MySQL and PostgresQL. CSV Dialect has nothing to do with the names, contents or types of the headers or data within the CSV file, only how it is formatted. However, CSV Dialect does allow the presence or absence of a header to be specified, similarly to RFC4180. CSV Dialect is also orthogonal to the character encoding used in the CSV file. Note that it is possible for files in CSV format to contain data in more than one encoding.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United Kingdom","Worldwide"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":667,"relation":"undefined"}],"grants":[{"id":7284,"fairsharing_record_id":1358,"organisation_id":1063,"relation":"maintains","created_at":"2021-09-30T09:28:32.497Z","updated_at":"2021-09-30T09:28:32.497Z","grant_id":null,"is_lead":true,"saved_state":{"id":1063,"name":"Frictionless Data, Open Knowledge International, UK","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1359","type":"fairsharing_records","attributes":{"created_at":"2018-10-09T12:54:27.000Z","updated_at":"2022-02-08T10:29:04.510Z","metadata":{"doi":"10.25504/FAIRsharing.18b8b4","name":"Marine Community Profile of ISO 19115","status":"ready","contacts":[{"contact_name":"AODN General Contact","contact_email":"info@aodn.org.au"}],"homepage":"https://mcp-profile-docs.readthedocs.io/en/stable/index.html","identifier":1359,"description":"Marine Community Profile of ISO 19115 includes all ISO 19115 core metadata elements and selected non-core elements. The Marine Profile has also defined supplementary metadata elements and codelists to meet the needs of the marine community to support the documentation and discovery of marine resources. While, in late 2016 and early 2017 the AODN Technical Advisory Group met to hold exploratory discussions regarding a port of MCP 2.0 to ISO 19115-1, the current version relates to ISO 19115:2003. However, work has begun on a very preliminary document was compiled outlining the main ISO 19115-1 elements (and extensions) that may be required in a port that would continue to satisfy AODN Portal requirements.","abbreviation":"MCP of ISO 19115","year_creation":2006},"legacy_ids":["bsg-001309","bsg-s001309"],"name":"FAIRsharing record for: Marine Community Profile of ISO 19115","abbreviation":"MCP of ISO 19115","url":"https://fairsharing.org/10.25504/FAIRsharing.18b8b4","doi":"10.25504/FAIRsharing.18b8b4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Marine Community Profile of ISO 19115 includes all ISO 19115 core metadata elements and selected non-core elements. The Marine Profile has also defined supplementary metadata elements and codelists to meet the needs of the marine community to support the documentation and discovery of marine resources. While, in late 2016 and early 2017 the AODN Technical Advisory Group met to hold exploratory discussions regarding a port of MCP 2.0 to ISO 19115-1, the current version relates to ISO 19115:2003. However, work has begun on a very preliminary document was compiled outlining the main ISO 19115-1 elements (and extensions) that may be required in a port that would continue to satisfy AODN Portal requirements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":414,"relation":"undefined"}],"grants":[{"id":7285,"fairsharing_record_id":1359,"organisation_id":148,"relation":"maintains","created_at":"2021-09-30T09:28:32.535Z","updated_at":"2021-09-30T09:28:32.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":148,"name":"Australian Ocean Data Network, Australia","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1360","type":"fairsharing_records","attributes":{"created_at":"2019-11-07T12:43:00.000Z","updated_at":"2021-11-24T13:18:47.428Z","metadata":{"doi":"10.25504/FAIRsharing.yIYItV","name":"Transcription Factor Class Schema","status":"ready","contacts":[{"contact_name":"Edgar Wingender","contact_email":"edgar.wingender@bioinf.med.uni-goettingen.de","contact_orcid":"0000-0002-7729-8453"}],"homepage":"http://www.edgar-wingender.de/TFClass_schema.html","citations":[{"doi":"10.1093/nar/gks1123","pubmed_id":23180794,"publication_id":2618}],"identifier":1360,"description":"The TFClass Schema is an identifier schema for classifying transcription factors according to a six-level schema, four of which are abstractions according to different criteria, while the fifth level represents TF genes and the sixth individual gene products. The first four levels of the TFClass schema are Superclass, Class, Family and Subfamily, with Subfamily an optional category. Two lower levels represent physical entities (i.e. genes and gene products) and have been termed Genera and Species (or \"molecular species\", to avoid confusion with biological species).","abbreviation":"TFClass Schema","year_creation":2012},"legacy_ids":["bsg-001402","bsg-s001402"],"name":"FAIRsharing record for: Transcription Factor Class Schema","abbreviation":"TFClass Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.yIYItV","doi":"10.25504/FAIRsharing.yIYItV","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The TFClass Schema is an identifier schema for classifying transcription factors according to a six-level schema, four of which are abstractions according to different criteria, while the fifth level represents TF genes and the sixth individual gene products. The first four levels of the TFClass schema are Superclass, Class, Family and Subfamily, with Subfamily an optional category. Two lower levels represent physical entities (i.e. genes and gene products) and have been termed Genera and Species (or \"molecular species\", to avoid confusion with biological species).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12549}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Life Science","Transcriptomics"],"domains":["Expression data","Centrally registered identifier","Transcription factor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2618,"pubmed_id":23180794,"title":"TFClass: an expandable hierarchical classification of human transcription factors.","year":2012,"url":"http://doi.org/10.1093/nar/gks1123","authors":"Wingender E,Schoeps T,Donitz J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1123","created_at":"2021-09-30T08:27:21.435Z","updated_at":"2021-09-30T11:29:40.511Z"}],"licence_links":[],"grants":[{"id":7286,"fairsharing_record_id":1360,"organisation_id":1422,"relation":"maintains","created_at":"2021-09-30T09:28:32.573Z","updated_at":"2021-09-30T09:28:32.573Z","grant_id":null,"is_lead":true,"saved_state":{"id":1422,"name":"Institute of Medical Bioinformatics, University Medical Center Goettingen, Georg August University, Goettingen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1361","type":"fairsharing_records","attributes":{"created_at":"2019-01-02T11:51:26.000Z","updated_at":"2022-07-20T10:52:30.494Z","metadata":{"doi":"10.25504/FAIRsharing.QyajjI","name":"Unified Data Model","status":"ready","contacts":[{"contact_name":"Gabrielle Whittick","contact_email":"gabrielle.whittick@pistoiaalliance.org"}],"homepage":"https://www.pistoiaalliance.org/projects/udm/","citations":[],"identifier":1361,"description":"The aim of the Unified Data Model (UDM) project is to create and publish an open and freely available data format for storage and exchange of experimental information about compound synthesis and biological testing. Originally maintained by Elsevier, ownership of this file format has been transferred to the Pistoia Alliance. Development of the standard is currently focused on making the format more generic and vendor-neutral as well as extending it to cover various screening and compound testing experiments.","abbreviation":"UDM","support_links":[{"url":"UDMinfo@pistoiaalliance.org","name":"UDM Helpdesk","type":"Support email"},{"url":"https://twitter.com/pistoiaalliance","name":"@pistoiaalliance","type":"Twitter"}],"year_creation":2018},"legacy_ids":["bsg-001340","bsg-s001340"],"name":"FAIRsharing record for: Unified Data Model","abbreviation":"UDM","url":"https://fairsharing.org/10.25504/FAIRsharing.QyajjI","doi":"10.25504/FAIRsharing.QyajjI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of the Unified Data Model (UDM) project is to create and publish an open and freely available data format for storage and exchange of experimental information about compound synthesis and biological testing. Originally maintained by Elsevier, ownership of this file format has been transferred to the Pistoia Alliance. Development of the standard is currently focused on making the format more generic and vendor-neutral as well as extending it to cover various screening and compound testing experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Drug Discovery","Synthetic Chemistry","Biomedical Science"],"domains":["Reaction data","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"UDM Pistoia alliance","licence_id":805,"licence_url":"https://drive.google.com/file/d/1RFuwW-MO1-sXajMadd73TVlKLBvP2U7p/view","link_id":1714,"relation":"undefined"}],"grants":[{"id":7287,"fairsharing_record_id":1361,"organisation_id":2327,"relation":"maintains","created_at":"2021-09-30T09:28:32.615Z","updated_at":"2021-09-30T09:28:32.615Z","grant_id":null,"is_lead":true,"saved_state":{"id":2327,"name":"Pistoia Alliance","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7290,"fairsharing_record_id":1361,"organisation_id":283,"relation":"funds","created_at":"2021-09-30T09:28:32.726Z","updated_at":"2021-09-30T09:28:32.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":283,"name":"Biovia","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7292,"fairsharing_record_id":1361,"organisation_id":2455,"relation":"funds","created_at":"2021-09-30T09:28:32.776Z","updated_at":"2021-09-30T09:28:32.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":2455,"name":"Roche","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7288,"fairsharing_record_id":1361,"organisation_id":2194,"relation":"funds","created_at":"2021-09-30T09:28:32.656Z","updated_at":"2021-09-30T09:28:32.656Z","grant_id":null,"is_lead":false,"saved_state":{"id":2194,"name":"Novartis","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":7289,"fairsharing_record_id":1361,"organisation_id":848,"relation":"funds","created_at":"2021-09-30T09:28:32.694Z","updated_at":"2021-09-30T09:28:32.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":848,"name":"Elsevier","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":9326,"fairsharing_record_id":1361,"organisation_id":403,"relation":"funds","created_at":"2022-04-11T12:07:30.612Z","updated_at":"2022-04-11T12:07:30.612Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1362","type":"fairsharing_records","attributes":{"created_at":"2018-03-20T20:48:50.000Z","updated_at":"2022-12-13T10:26:53.777Z","metadata":{"doi":"10.25504/FAIRsharing.9a3ok9","name":"Simple Line Access Protocol","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/SLAP/index.html","citations":[{"publication_id":2921}],"identifier":1362,"description":"The Simple Line Access Protocol (SLAP) is an IVOA Data Access protocol which defines a protocol for retrieving spectral lines coming from various Spectral Line Data Collections through a uniform interface within the VO framework. These lines can be either observed or theoretical and will be typically used to identify emission or absorption features in astronomical spectra. It makes use of the Simple Spectral Line Data Model (SSLDM) to characterize spectral lines through the use of uTypes. Physical quantities of units are described by using the standard Units DM. SLAP services can be registered in an IVOA Registry of Resources using the VOResource Extension standard, having a unique ResourceIdentifier in the Registry. The SLAP interface is meant to be reasonably simple to implement by service providers. A basic query will be done in a wavelength range for the different services. The service returns a list of spectral lines formatted as a VOTable. Thus, an implementation of the service may support additional search parameters (some which may be custom to that particular service) to more finely control the selection of spectral lines. The specification also describes how the search on extra parameters has to be done, making use of the support provided by the Simple Spectral Line Data Model (SSLDM).","abbreviation":"SLAP","year_creation":2010},"legacy_ids":["bsg-001155","bsg-s001155"],"name":"FAIRsharing record for: Simple Line Access Protocol","abbreviation":"SLAP","url":"https://fairsharing.org/10.25504/FAIRsharing.9a3ok9","doi":"10.25504/FAIRsharing.9a3ok9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Simple Line Access Protocol (SLAP) is an IVOA Data Access protocol which defines a protocol for retrieving spectral lines coming from various Spectral Line Data Collections through a uniform interface within the VO framework. These lines can be either observed or theoretical and will be typically used to identify emission or absorption features in astronomical spectra. It makes use of the Simple Spectral Line Data Model (SSLDM) to characterize spectral lines through the use of uTypes. Physical quantities of units are described by using the standard Units DM. SLAP services can be registered in an IVOA Registry of Resources using the VOResource Extension standard, having a unique ResourceIdentifier in the Registry. The SLAP interface is meant to be reasonably simple to implement by service providers. A basic query will be done in a wavelength range for the different services. The service returns a list of spectral lines formatted as a VOTable. Thus, an implementation of the service may support additional search parameters (some which may be custom to that particular service) to more finely control the selection of spectral lines. The specification also describes how the search on extra parameters has to be done, making use of the support provided by the Simple Spectral Line Data Model (SSLDM).","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11451}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2921,"pubmed_id":null,"title":"Simple Line Access Protocol Version 1.0","year":2010,"url":"http://dx.doi.org/10.5479/ADS/bib/2010ivoa.specQ1209O","authors":"Osuna, Pedro; Salgado, Jesus; Guainazzi, Matteo; Barbarisi, Isa; Dubernet, Marie-Lise; Tody, Doug","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:27:59.718Z","updated_at":"2021-09-30T08:27:59.718Z"}],"licence_links":[],"grants":[{"id":7293,"fairsharing_record_id":1362,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:32.806Z","updated_at":"2021-09-30T09:28:32.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7294,"fairsharing_record_id":1362,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:32.857Z","updated_at":"2021-09-30T09:28:32.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1339","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-01T10:39:36.641Z","metadata":{"doi":"10.25504/FAIRsharing.njqq5b","name":"ISA-TAB-Nano","status":"ready","contacts":[{"contact_name":"Mervi Heiskanen","contact_email":"heiskame@mail.nih.gov","contact_orcid":"0000-0001-6862-9196"}],"homepage":"https://wiki.nci.nih.gov/display/ICR/ISA-TAB-Nano","citations":[{"doi":"10.1186/1472-6750-13-2","pubmed_id":23311978,"publication_id":247}],"identifier":1339,"description":"ISA-TAB-Nano specifies the format for representing and sharing information about nanomaterials, small molecules and biological specimens along with their assay characterization data (including metadata, and summary data) using spreadsheet or TAB-delimited files.","abbreviation":"ISA-TAB-Nano","support_links":[{"url":"https://wiki.nci.nih.gov/download/attachments/253887742/ISA-TAB-Nano_Overview_508_c.pptx","name":"Powerpoint presentation","type":"Help documentation"}],"year_creation":2012},"legacy_ids":["bsg-000517","bsg-s000517"],"name":"FAIRsharing record for: ISA-TAB-Nano","abbreviation":"ISA-TAB-Nano","url":"https://fairsharing.org/10.25504/FAIRsharing.njqq5b","doi":"10.25504/FAIRsharing.njqq5b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISA-TAB-Nano specifies the format for representing and sharing information about nanomaterials, small molecules and biological specimens along with their assay characterization data (including metadata, and summary data) using spreadsheet or TAB-delimited files.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12037}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Oncology","Nanotechnology","Life Science","Biomedical Science"],"domains":["Resource metadata","Nanoparticle","Cell line","Assay","Intervention design","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":247,"pubmed_id":23311978,"title":"ISA-TAB-Nano: a specification for sharing nanomaterial research data in spreadsheet-based format.","year":2013,"url":"http://doi.org/10.1186/1472-6750-13-2","authors":"Thomas DG, Gaheen S, Harper SL, Fritts M, Klaessig F, Hahn-Dantona E, Paik D, Pan S, Stafford GA, Freund ET, Klemm JD, Baker NA.","journal":"BMC biotechnology","doi":"10.1186/1472-6750-13-2","created_at":"2021-09-30T08:22:46.731Z","updated_at":"2021-09-30T08:22:46.731Z"}],"licence_links":[],"grants":[{"id":8273,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:31:51.807Z","updated_at":"2021-09-30T09:31:51.864Z","grant_id":1361,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"R01 GM069702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7259,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:28:31.615Z","updated_at":"2021-09-30T09:30:42.940Z","grant_id":836,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54 CA119367","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7257,"fairsharing_record_id":1339,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:28:31.536Z","updated_at":"2021-09-30T09:30:59.907Z","grant_id":971,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"ES016896-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8200,"fairsharing_record_id":1339,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:31:28.914Z","updated_at":"2021-09-30T09:31:28.959Z","grant_id":1189,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences, National Institutes of Health","grant":"P30 ES03850","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8336,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:09.418Z","updated_at":"2021-09-30T09:32:09.497Z","grant_id":1493,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54 HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8430,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:36.452Z","updated_at":"2021-09-30T09:32:36.504Z","grant_id":1697,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U01 NS073457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8473,"fairsharing_record_id":1339,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:48.635Z","updated_at":"2021-09-30T09:32:48.682Z","grant_id":1785,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"U54 CA151459","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7258,"fairsharing_record_id":1339,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:28:31.572Z","updated_at":"2021-09-30T09:28:31.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute at Frederick","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7260,"fairsharing_record_id":1339,"organisation_id":49,"relation":"funds","created_at":"2021-09-30T09:28:31.642Z","updated_at":"2021-09-30T09:31:46.585Z","grant_id":1320,"is_lead":false,"saved_state":{"id":49,"name":"Air Force Research Laboratory, USA","grant":"FA8650-05-1-5041","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1340","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T11:28:38.000Z","updated_at":"2022-02-08T10:28:46.859Z","metadata":{"doi":"10.25504/FAIRsharing.36c7ea","name":"W3C Provenance Data Model","status":"ready","contacts":[{"contact_name":"Luc Moreau","contact_email":"l.moreau@ecs.soton.ac.uk","contact_orcid":"0000-0002-3494-120X"}],"homepage":"http://www.w3.org/TR/prov-dm/","identifier":1340,"description":"PROV-DM defines a conceptual data model for provenance including UML diagrams. PROV-O, PROV-XML and PROV-N are serializations of this conceptual model. A companion document, PROV-CONSTRAINTS, is linked within this record and specifies the set of constraints that provenance should follow. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-Dictionary is also referenced within this record, and describes Dictionary, a specific type of Collection with a logical structure consisting of key-entity pairs and created to facilitate the modeling of provenance for dictionary data structures. PROV-SEM, a model-theoretic semantics for the PROV data model, is also linked. Bundles of provenance descriptions can be linked by PROV-LINKS, also listed below. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","abbreviation":"PROV-DM","support_links":[{"url":"team-prov-chairs@w3.org","name":"Provenance Working Group","type":"Support email"},{"url":"https://www.w3.org/2001/sw/wiki/PROV-FAQ","name":"PROV FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.w3.org/TR/prov-primer/","name":"PROV Primer","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-aq/","name":"PROV-AQ: Access and Query","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-dictionary/","name":"PROV-Dictionary","type":"Help documentation"},{"url":"https://www.w3.org/TR/prov-overview/","name":"PROV Overview","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-links/","name":"PROV-LINKS","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-constraints/","name":"PROV-CONSTRAINTS","type":"Help documentation"},{"url":"http://www.w3.org/TR/prov-sem/","name":"PROV-SEM","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-001295","bsg-s001295"],"name":"FAIRsharing record for: W3C Provenance Data Model","abbreviation":"PROV-DM","url":"https://fairsharing.org/10.25504/FAIRsharing.36c7ea","doi":"10.25504/FAIRsharing.36c7ea","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROV-DM defines a conceptual data model for provenance including UML diagrams. PROV-O, PROV-XML and PROV-N are serializations of this conceptual model. A companion document, PROV-CONSTRAINTS, is linked within this record and specifies the set of constraints that provenance should follow. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-Dictionary is also referenced within this record, and describes Dictionary, a specific type of Collection with a logical structure consisting of key-entity pairs and created to facilitate the modeling of provenance for dictionary data structures. PROV-SEM, a model-theoretic semantics for the PROV data model, is also linked. Bundles of provenance descriptions can be linked by PROV-LINKS, also listed below. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17352},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16967}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata","Data model"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Netherlands","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":1121,"relation":"undefined"}],"grants":[{"id":7261,"fairsharing_record_id":1340,"organisation_id":3205,"relation":"maintains","created_at":"2021-09-30T09:28:31.671Z","updated_at":"2021-09-30T09:28:31.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":3205,"name":"W3C Provenance Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1341","type":"fairsharing_records","attributes":{"created_at":"2015-09-28T10:27:20.000Z","updated_at":"2022-07-20T11:10:43.178Z","metadata":{"doi":"10.25504/FAIRsharing.q7kr4s","name":"Observations and Measurements - XML Implementation","status":"ready","contacts":[{"contact_name":"Simon Cox","contact_email":"simon.cox@csiro.au","contact_orcid":"0000-0002-3884-3420"}],"homepage":"http://www.opengeospatial.org/standards/om","identifier":1341,"description":"This standard specifies an XML implementation for the OGC and ISO Observations and Measurements (O\u0026M) conceptual model (OGC Observations and Measurements v2.0 also published as ISO/DIS 19156), including a schema for Sampling Features. This encoding is an essential dependency for the OGC Sensor Observation Service (SOS) Interface Standard. More specifically, this standard defines XML schemas for observations, and for features involved in sampling when making observations. These provide document models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities.","abbreviation":"OMXML","year_creation":2010},"legacy_ids":["bsg-000620","bsg-s000620"],"name":"FAIRsharing record for: Observations and Measurements - XML Implementation","abbreviation":"OMXML","url":"https://fairsharing.org/10.25504/FAIRsharing.q7kr4s","doi":"10.25504/FAIRsharing.q7kr4s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard specifies an XML implementation for the OGC and ISO Observations and Measurements (O\u0026M) conceptual model (OGC Observations and Measurements v2.0 also published as ISO/DIS 19156), including a schema for Sampling Features. This encoding is an essential dependency for the OGC Sensor Observation Service (SOS) Interface Standard. More specifically, this standard defines XML schemas for observations, and for features involved in sampling when making observations. These provide document models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Natural Science","Earth Science"],"domains":["Resource metadata","Experimental measurement","Observation design","Measurement"],"taxonomies":["All"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["Belgium","Germany","United Kingdom","Worldwide"],"publications":[{"id":669,"pubmed_id":null,"title":"Observations and Measurements - XML Implementation","year":2010,"url":"https://repository.oceanbestpractices.org/handle/11329/1101","authors":"Simon J D Cox","journal":"OGC Implementation Specification","doi":null,"created_at":"2021-09-30T08:23:33.835Z","updated_at":"2021-09-30T11:28:30.246Z"}],"licence_links":[],"grants":[{"id":7262,"fairsharing_record_id":1341,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:28:31.710Z","updated_at":"2021-09-30T09:28:31.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7263,"fairsharing_record_id":1341,"organisation_id":624,"relation":"undefined","created_at":"2021-09-30T09:28:31.743Z","updated_at":"2021-09-30T09:28:31.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":624,"name":"CSIRO Land and Water, Highett, Australia","types":["Government body"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1348","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:47.671Z","metadata":{"doi":"10.25504/FAIRsharing.dnk0f6","name":"Generic Feature Format Version 3","status":"ready","homepage":"https://github.com/The-Sequence-Ontology/Specifications/blob/master/gff3.md","identifier":1348,"description":"The Generic Feature Format Version 3 (GFF3) format was developed after earlier formats, although widely used, became fragmented into multiple incompatible dialects. The GFF3 format addresses the most common extensions to GFF, while preserving backward compatibility with previous formats. GFF3 files are nine-column, tab-delimited, plain text files. Literal use of tab, newline, carriage return, the percent (%) sign, and control characters must be encoded using RFC 3986 Percent-Encoding; no other characters may be encoded. Backslash and other ad-hoc escaping conventions that have been added to the GFF format are not allowed. The file contents may include any character in the set supported by the operating environment, although for portability with other systems, use of Latin-1 or Unicode are recommended.","abbreviation":"GFF3","support_links":[{"url":"https://github.com/The-Sequence-Ontology/Specifications/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/python-programming-primer","name":"Python programming primer","type":"TeSS links to training materials"}],"year_creation":2006,"associated_tools":[{"url":"https://github.com/modENCODE-DCC/validator","name":"GFF3 Validator"}]},"legacy_ids":["bsg-000235","bsg-s000235"],"name":"FAIRsharing record for: Generic Feature Format Version 3","abbreviation":"GFF3","url":"https://fairsharing.org/10.25504/FAIRsharing.dnk0f6","doi":"10.25504/FAIRsharing.dnk0f6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Generic Feature Format Version 3 (GFF3) format was developed after earlier formats, although widely used, became fragmented into multiple incompatible dialects. The GFF3 format addresses the most common extensions to GFF, while preserving backward compatibility with previous formats. GFF3 files are nine-column, tab-delimited, plain text files. Literal use of tab, newline, carriage return, the percent (%) sign, and control characters must be encoded using RFC 3986 Percent-Encoding; no other characters may be encoded. Backslash and other ad-hoc escaping conventions that have been added to the GFF format are not allowed. The file contents may include any character in the set supported by the operating environment, although for portability with other systems, use of Latin-1 or Unicode are recommended.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11612},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11860},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12000},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12435},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16923}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Expression data","DNA sequence data","Annotation","Transcription factor binding site prediction","Deoxyribonucleic acid","Gene feature","Exon","Messenger RNA","Coding sequence","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7272,"fairsharing_record_id":1348,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:28:32.017Z","updated_at":"2021-09-30T09:28:32.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1349","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:53:36.045Z","metadata":{"doi":"10.25504/FAIRsharing.md3e78","name":"Audubon Core Multimedia Resources Metadata Schema","status":"ready","contacts":[{"contact_name":"Patricia Mergen","contact_email":"secretary@tdwg.org","contact_orcid":"0000-0003-2848-8231"}],"homepage":"https://ac.tdwg.org/introduction/","citations":[],"identifier":1349,"description":"The Audubon Core Multimedia Resources Metadata schema (“AC schema”, or simply “AC”) is a set of metadata vocabularies for describing biodiversity-related multimedia resources and collections. The specification is independent of how these vocabularies may be represented for machine use. An Audubon Core record is a description of a multimedia resource using the Audubon Core terms. Two kinds of terms are specified by AC: record-level terms and access-level terms.","abbreviation":"AC","support_links":[{"url":"http://lists.tdwg.org/mailman/listinfo","name":"TDWG Mailing List","type":"Mailing list"},{"url":"https://github.com/tdwg/ac","name":"AC Interest Group GitHub Repository","type":"Github"},{"url":"https://github.com/tdwg/ac/issues","name":"Issue Tracker","type":"Contact form"},{"url":"https://ac.tdwg.org/guide/","name":"User Guide","type":"Help documentation"},{"url":"https://ac.tdwg.org/structure/","name":"Introduction to AC Structure","type":"Help documentation"}],"year_creation":2013},"legacy_ids":["bsg-000203","bsg-s000203"],"name":"FAIRsharing record for: Audubon Core Multimedia Resources Metadata Schema","abbreviation":"AC","url":"https://fairsharing.org/10.25504/FAIRsharing.md3e78","doi":"10.25504/FAIRsharing.md3e78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Audubon Core Multimedia Resources Metadata schema (“AC schema”, or simply “AC”) is a set of metadata vocabularies for describing biodiversity-related multimedia resources and collections. The specification is independent of how these vocabularies may be represented for machine use. An Audubon Core record is a description of a multimedia resource using the Audubon Core terms. Two kinds of terms are specified by AC: record-level terms and access-level terms.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12271}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biodiversity"],"domains":["Image","Multimedia"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":823,"pubmed_id":null,"title":"Discovery and publishing of primary Biodiversity Data associated with multimedia resources: The Audubon Core Strategies and approaches","year":2013,"url":"http://doi.org/10.17161/bi.v8i2.4117","authors":"Robert Morris, Vijay Barve, Mihail Carausu, Vishwas Chavan, José Cuadra, Chris Freeland, Gregor Hagedorn, Patrick Leary, Dimitry Mozzherin, Annette Olson, Gregory Riccardi, Ivan Teage, Greg Whitbread","journal":"Biodiversity Informatics","doi":"10.17161/bi.v8i2.4117","created_at":"2021-09-30T08:23:50.730Z","updated_at":"2021-09-30T08:23:50.730Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2646,"relation":"applies_to_content"}],"grants":[{"id":7273,"fairsharing_record_id":1349,"organisation_id":1097,"relation":"maintains","created_at":"2021-09-30T09:28:32.041Z","updated_at":"2022-03-30T09:27:18.151Z","grant_id":null,"is_lead":true,"saved_state":{"id":1097,"name":"GBIF/TDWG Multimedia Resources Task Group, Boston, MA, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1350","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-05T14:23:10.482Z","metadata":{"doi":"10.25504/FAIRsharing.ydnwd9","name":"Ontology of General Purpose Datatypes","status":"deprecated","contacts":[{"contact_name":"Pance Panov","contact_email":"pance.panov@ijs.si","contact_orcid":"0000-0002-7685-9140"}],"homepage":"http://www.ontodm.com/doku.php?id=ontodt","citations":[],"identifier":1350,"description":"This ontology contains entities such as: datatype, datatype generator, datatype quality and others giving the possibility to represent arbitrary complex datatypes. This is an important fact for a general data mining ontology that wants to represent and query over modeling algorithms for mining structured data. The ontology was first developed under the OntoDM (Ontology of Data Mining is available at http://kt.ijs.si/panovp/OntoDM) ontology, but for generality and reuse purpose it was decided to export it as a separate ontology. Additionally, the OntoDT ontology is based on and ISO/IEC 11404 (http://www.iso.org/iso/catalogue_detail.htm?csnumber=39479) standard and can be reused used independently by any domain ontology that requires representation and reasoning about general purpose datatypes.","abbreviation":"OntoDT","support_links":[{"url":"https://www.dropbox.com/s/0w1gwjja76sipgi/PanovPhD2012.pdf","name":"A Modular Ontology of Data Mining.","type":"Help documentation"}],"year_creation":1996,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTODT","name":"ONTODT","portal":"BioPortal"}],"deprecation_date":"2023-04-05","deprecation_reason":"This ontology appears to be inactive, and a dedicated homepage cannot be found, and updates to the ontology date from 2018 or before. It is not in scope for FAIRsharing as it does not fulfill the requirements of being a standard used or developed by a community. As such, we have deprecated this record. Please get in touch if you have any information."},"legacy_ids":["bsg-002717","bsg-s002717"],"name":"FAIRsharing record for: Ontology of General Purpose Datatypes","abbreviation":"OntoDT","url":"https://fairsharing.org/10.25504/FAIRsharing.ydnwd9","doi":"10.25504/FAIRsharing.ydnwd9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology contains entities such as: datatype, datatype generator, datatype quality and others giving the possibility to represent arbitrary complex datatypes. This is an important fact for a general data mining ontology that wants to represent and query over modeling algorithms for mining structured data. The ontology was first developed under the OntoDM (Ontology of Data Mining is available at http://kt.ijs.si/panovp/OntoDM) ontology, but for generality and reuse purpose it was decided to export it as a separate ontology. Additionally, the OntoDT ontology is based on and ISO/IEC 11404 (http://www.iso.org/iso/catalogue_detail.htm?csnumber=39479) standard and can be reused used independently by any domain ontology that requires representation and reasoning about general purpose datatypes.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12030}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Data Mining","Data Management","Life Science","Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["data science"],"countries":["Slovenia"],"publications":[{"id":1324,"pubmed_id":null,"title":"Generic ontology of datatypes","year":2016,"url":"http://doi.org/10.1016/j.ins.2015.08.006","authors":"PančePanova, Larisa N. Soldatovad, Sašo Džeroskiabc","journal":"Information Sciences","doi":"10.1016/j.ins.2015.08.006","created_at":"2021-09-30T08:24:48.152Z","updated_at":"2021-09-30T08:24:48.152Z"}],"licence_links":[],"grants":[{"id":7276,"fairsharing_record_id":1350,"organisation_id":696,"relation":"maintains","created_at":"2021-09-30T09:28:32.152Z","updated_at":"2021-09-30T09:28:32.152Z","grant_id":null,"is_lead":false,"saved_state":{"id":696,"name":"Department of Computer Science, Brunel University, London, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7274,"fairsharing_record_id":1350,"organisation_id":721,"relation":"maintains","created_at":"2021-09-30T09:28:32.072Z","updated_at":"2021-09-30T09:28:32.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":721,"name":"Department of Knowledge Technologies, Jozef Stefan institute, Ljubljana, Slovenia","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7275,"fairsharing_record_id":1350,"organisation_id":441,"relation":"maintains","created_at":"2021-09-30T09:28:32.114Z","updated_at":"2021-09-30T09:28:32.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":441,"name":"Center of Excellence for Integrated Approaches in Chemistry and Biology of Proteins, Ljubljana, Slovenia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1333","type":"fairsharing_records","attributes":{"created_at":"2015-06-10T09:45:47.000Z","updated_at":"2022-04-11T13:20:05.822Z","metadata":{"doi":"10.25504/FAIRsharing.2b3at8","name":"Marine Microbial Biodiversity, Bioinformatics, Biotechnology Checklist","status":"ready","contacts":[{"contact_name":"Petra ten Hoopen","contact_email":"petra@ebi.ac.uk","contact_orcid":"0000-0003-4242-4015"}],"homepage":"http://www.ebi.ac.uk/ena/submit/microb3-checklist","citations":[{"doi":"10.1186/s40793-015-0001-5","pubmed_id":26203332,"publication_id":1787}],"identifier":1333,"description":"The Micro B3 checklist is a multi-disciplinary standard developed by the Micro B3 Consortium for description of marine microbial sampling. Content of the standard is grouped into six categories covering various aspects of marine microbial sampling. These categories are environment, measurement, sampling, event, sample and organism. Full adoption of the standard allows generation of data records, which are MIxS compliant but also compliant to minimal reporting requirements of the oceanographic and marine biodiversity community, i.e. respectively the Common Data Index (CDI) and the OBIS schema, advancing the metadata interoperability across research domains. Nucleotide sequences of marine microbial samples described according to the Micro B3 checklist can be placed into a very rich environmental context. This checklist had originally been called the M2B3 checklist","abbreviation":"Micro B3","support_links":[{"url":"http://www.microb3.eu/sites/default/files/osd/OSD_Handbook_June_2015.pdf","name":"OSD Handbook","type":"Help documentation"}],"year_creation":2014},"legacy_ids":["bsg-000592","bsg-s000592"],"name":"FAIRsharing record for: Marine Microbial Biodiversity, Bioinformatics, Biotechnology Checklist","abbreviation":"Micro B3","url":"https://fairsharing.org/10.25504/FAIRsharing.2b3at8","doi":"10.25504/FAIRsharing.2b3at8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Micro B3 checklist is a multi-disciplinary standard developed by the Micro B3 Consortium for description of marine microbial sampling. Content of the standard is grouped into six categories covering various aspects of marine microbial sampling. These categories are environment, measurement, sampling, event, sample and organism. Full adoption of the standard allows generation of data records, which are MIxS compliant but also compliant to minimal reporting requirements of the oceanographic and marine biodiversity community, i.e. respectively the Common Data Index (CDI) and the OBIS schema, advancing the metadata interoperability across research domains. Nucleotide sequences of marine microbial samples described according to the Micro B3 checklist can be placed into a very rich environmental context. This checklist had originally been called the M2B3 checklist","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12485},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16037}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Genomics","Biodiversity","Life Science","Oceanography"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Interoperability"],"countries":["Belgium","Germany","Netherlands","United Kingdom"],"publications":[{"id":1787,"pubmed_id":26203332,"title":"Marine microbial biodiversity, bioinformatics and biotechnology (M2B3) data reporting and service standards.","year":2015,"url":"http://doi.org/10.1186/s40793-015-0001-5","authors":"Ten Hoopen P,Pesant S,Kottmann R,Kopf A,Bicak M,Claus S,Deneudt K,Borremans C,Thijsse P,Dekeyzer S,Schaap DM,Bowler C,Glockner FO,Cochrane G","journal":"Stand Genomic Sci","doi":"10.1186/s40793-015-0001-5","created_at":"2021-09-30T08:25:40.538Z","updated_at":"2021-09-30T08:25:40.538Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1380,"relation":"undefined"}],"grants":[{"id":7241,"fairsharing_record_id":1333,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:28:30.856Z","updated_at":"2022-04-11T13:20:05.811Z","grant_id":1535,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"287589","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7234,"fairsharing_record_id":1333,"organisation_id":1483,"relation":"maintains","created_at":"2021-09-30T09:28:30.668Z","updated_at":"2021-09-30T09:28:30.668Z","grant_id":null,"is_lead":false,"saved_state":{"id":1483,"name":"International Council for the Exploration of the Sea (ICES), Copenhagen, Denmark","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7236,"fairsharing_record_id":1333,"organisation_id":2777,"relation":"maintains","created_at":"2021-09-30T09:28:30.731Z","updated_at":"2021-09-30T09:28:30.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":2777,"name":"The Flanders Marine Institute (VLIZ), Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7240,"fairsharing_record_id":1333,"organisation_id":1061,"relation":"maintains","created_at":"2021-09-30T09:28:30.831Z","updated_at":"2021-09-30T09:28:30.831Z","grant_id":null,"is_lead":false,"saved_state":{"id":1061,"name":"French Research Institute for Exploitation of the Sea (IFREMER), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7233,"fairsharing_record_id":1333,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:28:30.629Z","updated_at":"2021-09-30T09:28:30.629Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7235,"fairsharing_record_id":1333,"organisation_id":3112,"relation":"funds","created_at":"2021-09-30T09:28:30.707Z","updated_at":"2021-09-30T09:28:30.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":7237,"fairsharing_record_id":1333,"organisation_id":1787,"relation":"maintains","created_at":"2021-09-30T09:28:30.756Z","updated_at":"2021-09-30T09:28:30.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":1787,"name":"Max Planck Institute for Marine Microbiology (MPIMM), Bremen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7238,"fairsharing_record_id":1333,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:28:30.781Z","updated_at":"2021-09-30T09:28:30.781Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7239,"fairsharing_record_id":1333,"organisation_id":1757,"relation":"maintains","created_at":"2021-09-30T09:28:30.806Z","updated_at":"2021-09-30T09:28:30.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":1757,"name":"Marine and Ocean Data Management (MARIS), Voorburg, The Netherlands","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7242,"fairsharing_record_id":1333,"organisation_id":663,"relation":"maintains","created_at":"2021-09-30T09:28:30.882Z","updated_at":"2021-09-30T09:28:30.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":663,"name":"Departement de Biologie (IBENS), Ecole Normale Superieure, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7243,"fairsharing_record_id":1333,"organisation_id":427,"relation":"maintains","created_at":"2021-09-30T09:28:30.908Z","updated_at":"2021-09-30T09:28:30.908Z","grant_id":null,"is_lead":false,"saved_state":{"id":427,"name":"Center for Marine Environmental Sciences (MARUM), University of Bremen, Bremen, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1334","type":"fairsharing_records","attributes":{"created_at":"2018-03-16T20:00:30.000Z","updated_at":"2022-12-13T10:24:53.113Z","metadata":{"doi":"10.25504/FAIRsharing.wnbDmb","name":"TAPRegExt","status":"ready","contacts":[{"contact_name":"Data Access Layer Working Group","contact_email":"dal@ivoa.net"}],"homepage":"http://ivoa.net/documents/TAPRegExt/index.html","citations":[{"publication_id":2938}],"identifier":1334,"description":"TAPRegExt is a VOResource schema extension for describing TAP services. It is an XML encoding standard for metadata about services implementing the table access protocol (TAP). Instance documents are part of the service's registry record or can be obtained from the service itself. They deliver information to both humans and software on the languages, output formats, and upload methods supported by the service, as well as data models implemented by the exposed tables, optional language features, and certain limits enforced by the service. To accommodate a wide variety of requirements, the TAP specification offers implementors many choices on optional features, resource limits, or locally defined functionality. One purpose of TAPRegExt is to allow the service to communicate such choices to remote clients using the mechanisms laid down in the VO Service Interfaces standard","abbreviation":"TAPRegExt","support_links":[{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/TAPRegExt","name":"TAPRegExt Wiki","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/TAPImplementationNotes","name":"Past TAPRegExt Discussions","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001151","bsg-s001151"],"name":"FAIRsharing record for: TAPRegExt","abbreviation":"TAPRegExt","url":"https://fairsharing.org/10.25504/FAIRsharing.wnbDmb","doi":"10.25504/FAIRsharing.wnbDmb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TAPRegExt is a VOResource schema extension for describing TAP services. It is an XML encoding standard for metadata about services implementing the table access protocol (TAP). Instance documents are part of the service's registry record or can be obtained from the service itself. They deliver information to both humans and software on the languages, output formats, and upload methods supported by the service, as well as data models implemented by the exposed tables, optional language features, and certain limits enforced by the service. To accommodate a wide variety of requirements, the TAP specification offers implementors many choices on optional features, resource limits, or locally defined functionality. One purpose of TAPRegExt is to allow the service to communicate such choices to remote clients using the mechanisms laid down in the VO Service Interfaces standard","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11467}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["Worldwide"],"publications":[{"id":2938,"pubmed_id":null,"title":"TAPRegExt: a VOResource Schema Extension for Describing TAP Services Version 1.0","year":2012,"url":"http://dx.doi.org/10.5479/ADS/bib/2012ivoa.spec.0827D","authors":"Demleitner, Markus; Dowler, Patrick; Plante, Ray; Rixon, Guy; Taylor, Mark","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:02.108Z","updated_at":"2021-09-30T08:28:02.108Z"}],"licence_links":[],"grants":[{"id":7245,"fairsharing_record_id":1334,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:30.966Z","updated_at":"2021-09-30T09:28:30.966Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7246,"fairsharing_record_id":1334,"organisation_id":1572,"relation":"maintains","created_at":"2021-09-30T09:28:31.004Z","updated_at":"2021-09-30T09:28:31.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":1572,"name":"IVOA Data Access Layer Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1335","type":"fairsharing_records","attributes":{"created_at":"2018-05-01T10:07:02.000Z","updated_at":"2022-12-13T10:24:43.292Z","metadata":{"doi":"10.25504/FAIRsharing.gJ4ayC","name":"IVOA Registry Relational Schema","status":"ready","contacts":[{"contact_name":"IVOA Resource Registry Working Group","contact_email":"registry@ivoa.net"}],"homepage":"http://ivoa.net/documents/RegTAP/index.html","citations":[{"publication_id":2962}],"identifier":1335,"description":"Registries provide a mechanism with which Virtual Observatory (VO) applications can discover and select resources - first and foremost data and services - that are relevant for a particular scientific problem. This specification defines an interface for searching this resource metadata based on the IVOA's TAP protocol. It specifies a set of tables that comprise a useful subset of the information contained in the registry records, as well as the table's data content in terms of the XML VOResource data model. The general design of the system is geared towards allowing easy authoring of queries.","abbreviation":"RegTAP","support_links":[{"url":"http://ivoa.net/documents/RegTAP/20171206/WD-RegTAP-1.1-20171206.html","name":"View Standard","type":"Help documentation"},{"url":"http://wiki.ivoa.net/twiki/bin/view/IVOA/RegTAPNext","name":"RegTAP Next Steps (Wiki)","type":"Help documentation"}],"year_creation":2017},"legacy_ids":["bsg-001203","bsg-s001203"],"name":"FAIRsharing record for: IVOA Registry Relational Schema","abbreviation":"RegTAP","url":"https://fairsharing.org/10.25504/FAIRsharing.gJ4ayC","doi":"10.25504/FAIRsharing.gJ4ayC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Registries provide a mechanism with which Virtual Observatory (VO) applications can discover and select resources - first and foremost data and services - that are relevant for a particular scientific problem. This specification defines an interface for searching this resource metadata based on the IVOA's TAP protocol. It specifies a set of tables that comprise a useful subset of the information contained in the registry records, as well as the table's data content in terms of the XML VOResource data model. The general design of the system is geared towards allowing easy authoring of queries.","linked_records":[],"linking_records":[{"linking_record_name":"International Virtual Observatory Alliance","linking_record_id":3515,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11475}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Astrophysics and Astronomy"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2962,"pubmed_id":null,"title":"IVOA Registry Relational Schema Version 1.0","year":2014,"url":"http://dx.doi.org/10.5479/ADS/bib/2014ivoa.spec.1208D","authors":"Demleitner, Markus; Harrison, Paul; Molinaro, Marco; Greene, Gretchen; Dower, Theresa; Perdikeas, Menelaos","journal":"SAO/NASA Astrophysics Data System","doi":null,"created_at":"2021-09-30T08:28:05.025Z","updated_at":"2021-09-30T08:28:05.025Z"}],"licence_links":[],"grants":[{"id":7247,"fairsharing_record_id":1335,"organisation_id":1539,"relation":"maintains","created_at":"2021-09-30T09:28:31.105Z","updated_at":"2021-09-30T09:28:31.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":1539,"name":"International Virtual Observatory Alliance (IVOA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":7248,"fairsharing_record_id":1335,"organisation_id":1575,"relation":"maintains","created_at":"2021-09-30T09:28:31.197Z","updated_at":"2021-09-30T09:28:31.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":1575,"name":"IVOA Resource Registry Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1336","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:58:29.788Z","metadata":{"doi":"10.25504/FAIRsharing.c2wkqx","name":"Natural Collections Descriptions","status":"deprecated","contacts":[{"contact_name":"Neil Thomson","contact_email":"n.thomson@nhm.ac.uk","contact_orcid":"0000-0003-2231-6228"}],"homepage":"https://github.com/tdwg/ncd","identifier":1336,"description":"Natural Collections Description (NCD) (A data standard for exchanging data describing natural history collections) is a proposed data standard for describing collections of natural history materials at the collection level; one NCD record describes one entire collection. The NCD standard covers all types of natural history collections, such as specimens, original artwork, archives, observations, library materials, datasets, photographs or mixed collections such as those that result from expeditions and voyages of discovery. NCD is a draft standard that was submitted for ratification in 2008. Personnel changes in several critical roles caused the ratification process to stall, so the specification has remained as a draft since. The in 2016 reestablished Collection Descriptions Interest Group has decided to discontinue the development of NCD in favour of a new TDWG Collections Description metadata standard.","abbreviation":"NCD","support_links":[{"url":"http://wiki.tdwg.org/twiki/bin/view/NCD/WebHome","type":"Help documentation"}],"year_creation":2008,"deprecation_date":"2021-01-10","deprecation_reason":"The Natural Collections Description data standard was an unratified draft, whose development has been discontinued."},"legacy_ids":["bsg-000202","bsg-s000202"],"name":"FAIRsharing record for: Natural Collections Descriptions","abbreviation":"NCD","url":"https://fairsharing.org/10.25504/FAIRsharing.c2wkqx","doi":"10.25504/FAIRsharing.c2wkqx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Natural Collections Description (NCD) (A data standard for exchanging data describing natural history collections) is a proposed data standard for describing collections of natural history materials at the collection level; one NCD record describes one entire collection. The NCD standard covers all types of natural history collections, such as specimens, original artwork, archives, observations, library materials, datasets, photographs or mixed collections such as those that result from expeditions and voyages of discovery. NCD is a draft standard that was submitted for ratification in 2008. Personnel changes in several critical roles caused the ratification process to stall, so the specification has remained as a draft since. The in 2016 reestablished Collection Descriptions Interest Group has decided to discontinue the development of NCD in favour of a new TDWG Collections Description metadata standard.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12274}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biodiversity","Life Science","Natural History"],"domains":["Resource collection","Multimedia"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1351","type":"fairsharing_records","attributes":{"created_at":"2016-03-03T15:04:58.000Z","updated_at":"2024-04-18T09:28:39.393Z","metadata":{"doi":"10.25504/FAIRsharing.jqfgxs","name":"Minimum Information about a Biosynthetic Gene cluster","status":"ready","contacts":[{"contact_name":"Marnix Medema","contact_email":"marnix.medema@wur.nl","contact_orcid":"0000-0002-2191-2821"}],"homepage":"http://mibig.secondarymetabolites.org/","identifier":1351,"description":"A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. The Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard was created to facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters.","abbreviation":"MIBiG","year_creation":2015},"legacy_ids":["bsg-000641","bsg-s000641"],"name":"FAIRsharing record for: Minimum Information about a Biosynthetic Gene cluster","abbreviation":"MIBiG","url":"https://fairsharing.org/10.25504/FAIRsharing.jqfgxs","doi":"10.25504/FAIRsharing.jqfgxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. The Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard was created to facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11858}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Sequence cluster","Metabolite","Enzyme","Pathway model"],"taxonomies":["Bacteria","Fungi","Plantae"],"user_defined_tags":[],"countries":["Australia","Austria","Belgium","Canada","China","Czech Republic","Denmark","Finland","France","Germany","Ireland","Japan","Mexico","Netherlands","New Zealand","Norway","Portugal","Saudi Arabia","Slovakia","South Korea","Spain","Switzerland","Ukraine","United Kingdom","United States"],"publications":[{"id":2075,"pubmed_id":26284661,"title":"Minimum Information about a Biosynthetic Gene cluster.","year":2015,"url":"http://doi.org/10.1038/nchembio.1890","authors":"Medema MH et al.","journal":"Nat Chem Biol","doi":"10.1038/nchembio.1890","created_at":"2021-09-30T08:26:13.941Z","updated_at":"2021-09-30T08:26:13.941Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1076,"relation":"undefined"}],"grants":[{"id":7277,"fairsharing_record_id":1351,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:28:32.240Z","updated_at":"2021-09-30T09:28:32.240Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1352","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:08.000Z","updated_at":"2022-07-20T12:48:01.433Z","metadata":{"doi":"10.25504/FAIRsharing.ry1ezg","name":"Lentil Ontology","status":"ready","contacts":[{"contact_name":"Karthika Rajendran","contact_email":"K.Rajendran@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_339:ROOT","citations":[],"identifier":1352,"description":"The Lentil Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_339","support_links":[{"url":"SK.Agrawal@cgiar.org","name":"Shiv Kumar Agrawal","type":"Support email"},{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-001123","bsg-s001123"],"name":"FAIRsharing record for: Lentil Ontology","abbreviation":"CO_339","url":"https://fairsharing.org/10.25504/FAIRsharing.ry1ezg","doi":"10.25504/FAIRsharing.ry1ezg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Lentil Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Lens culinaris"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":98,"relation":"undefined"}],"grants":[{"id":7279,"fairsharing_record_id":1352,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:32.323Z","updated_at":"2021-09-30T09:28:32.323Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":7278,"fairsharing_record_id":1352,"organisation_id":1475,"relation":"maintains","created_at":"2021-09-30T09:28:32.281Z","updated_at":"2021-09-30T09:28:32.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":1475,"name":"International Center for Agricultural Research in the Dry Areas (ICARDA), Lebanon","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1353","type":"fairsharing_records","attributes":{"created_at":"2018-04-24T13:27:44.000Z","updated_at":"2022-12-05T09:21:34.361Z","metadata":{"name":"Life Science Identifiers","status":"uncertain","contacts":[{"contact_email":"doc-manger@omg.org"}],"homepage":"http://www.lsid.info/","citations":[],"identifier":1353,"description":"Life Science Identifiers (LSID) are a way to name and locate pieces of information on the web. An LSID is a unique identifier for some data, and the LSID protocol specifies a standard way to locate the data (as well as a standard way of describing that data). LSIDs identify biologically significant resources, including species names, concepts, occurrences, and genes or proteins, or data objects that encode information about them. Like other URNs, the LSID becomes actionable when embedded in a URL.\nAn LSID conforms to the URN standards defined by the IETF. Every LSID consists of up to five parts: the Network Identifier (NID); the root DNS name of the issuing authority; the namespace chosen by the issuing authority; the object id unique in that namespace; and finally an optional revision id for storing versioning information. Each part is separated by a colon to make LSIDs easy to parse. Although the specification is still available at the stated homepage, we have marked the identifier schema as Uncertain because the SourceForge site containing the specification was last updated in 2007, and there has been various criticisms of their use. ","abbreviation":"LSID","support_links":[{"url":"info@omg.org","name":"General contact","type":"Support email"},{"url":"http://www.lsid.info/resolver/","name":"LSID resolver","type":"Other"},{"url":"https://en.wikipedia.org/wiki/LSID","name":"LSID Wikipedia (incl summary of controversy over their usage)","type":"Wikipedia"}]},"legacy_ids":["bsg-001184","bsg-s001184"],"name":"FAIRsharing record for: Life Science Identifiers","abbreviation":"LSID","url":"https://fairsharing.org/fairsharing_records/1353","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Life Science Identifiers (LSID) are a way to name and locate pieces of information on the web. An LSID is a unique identifier for some data, and the LSID protocol specifies a standard way to locate the data (as well as a standard way of describing that data). LSIDs identify biologically significant resources, including species names, concepts, occurrences, and genes or proteins, or data objects that encode information about them. Like other URNs, the LSID becomes actionable when embedded in a URL.\nAn LSID conforms to the URN standards defined by the IETF. Every LSID consists of up to five parts: the Network Identifier (NID); the root DNS name of the issuing authority; the namespace chosen by the issuing authority; the object id unique in that namespace; and finally an optional revision id for storing versioning information. Each part is separated by a colon to make LSIDs easy to parse. Although the specification is still available at the stated homepage, we have marked the identifier schema as Uncertain because the SourceForge site containing the specification was last updated in 2007, and there has been various criticisms of their use. ","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17388},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12125}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Knowledge and Information Systems","Life Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1356","type":"fairsharing_records","attributes":{"created_at":"2015-07-03T10:03:40.000Z","updated_at":"2022-07-20T12:28:42.786Z","metadata":{"doi":"10.25504/FAIRsharing.576wb","name":"Common Metadata Elements for Cataloging Biomedical Datasets","status":"ready","contacts":[{"contact_name":"Kevin Read","contact_email":"kevin.read@med.nyu.edu","contact_orcid":"0000-0002-7511-9036"}],"homepage":"http://dx.doi.org/10.6084/m9.figshare.1496573","identifier":1356,"description":"The Common Metadata Elements for Cataloging Biomedical Datasets outlines a proposed set of core, minimal metadata elements that can be used to describe biomedical datasets, such as those resulting from research funded by the National Institutes of Health. It can inform efforts to better catalog or index such data to improve discoverability. The proposed metadata elements are based on an analysis of the metadata schemas used in a set of NIH-supported data sharing repositories. Common elements from these data repositories were identified, mapped to existing data-specific metadata standards from to existing multidisciplinary data repositories, DataCite and Dryad, and compared with metadata used in MEDLINE records to establish a sustainable and integrated metadata schema.","abbreviation":null,"year_creation":2013},"legacy_ids":["bsg-000600","bsg-s000600"],"name":"FAIRsharing record for: Common Metadata Elements for Cataloging Biomedical Datasets","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.576wb","doi":"10.25504/FAIRsharing.576wb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Common Metadata Elements for Cataloging Biomedical Datasets outlines a proposed set of core, minimal metadata elements that can be used to describe biomedical datasets, such as those resulting from research funded by the National Institutes of Health. It can inform efforts to better catalog or index such data to improve discoverability. The proposed metadata elements are based on an analysis of the metadata schemas used in a set of NIH-supported data sharing repositories. Common elements from these data repositories were identified, mapped to existing data-specific metadata standards from to existing multidisciplinary data repositories, DataCite and Dryad, and compared with metadata used in MEDLINE records to establish a sustainable and integrated metadata schema.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11197},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12050}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Integration","Biomedical Science"],"domains":["Annotation","Data identity and mapping"],"taxonomies":["All"],"user_defined_tags":["Metadata standardization"],"countries":["United States"],"publications":[{"id":1262,"pubmed_id":null,"title":"Common Metadata Elements for Cataloging Biomedical Datasets.","year":2015,"url":"http://doi.org/10.6084/m9.figshare.1496573.v1","authors":"Read, Kevin","journal":"Figshare","doi":"10.6084/m9.figshare.1496573.v1","created_at":"2021-09-30T08:24:40.808Z","updated_at":"2021-09-30T08:24:40.808Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1559,"relation":"undefined"}],"grants":[{"id":7282,"fairsharing_record_id":1356,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:28:32.420Z","updated_at":"2021-09-30T09:28:32.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1357","type":"fairsharing_records","attributes":{"created_at":"2018-09-26T12:12:59.000Z","updated_at":"2021-11-24T13:20:19.400Z","metadata":{"doi":"10.25504/FAIRsharing.95f59a","name":"Encoded Archival Description","status":"ready","homepage":"https://www.loc.gov/ead/","identifier":1357,"description":"Encoded Archival Description (EAD) is an XML standard for encoding archival finding aids, maintained by the Technical Subcommittee for Encoded Archival Standards of the Society of American Archivists, in partnership with the Library of Congress. The current version, EAD3, was first released in 2015. EAD reflects the hierarchical structure of archival collections, and allows for describing both the collection as a whole and its individual parts. EAD is an international archival standard and allows for the standardization of information within and across different repositories. EAD is used throughout the United States, Europe, Australia, and other countries. The structural elements of EAD are easily recognized and used in union catalogs like ArchiveGrid and consortiums like the Online Archive of California, Northwest Digital Archives, and Archives Portal Europe. EAD is expressed in XML, which is a structural and preservation format. XML facilitates repurposing of data. A finding aid in XML can be converted into a variety of different formats for display and access to users. An HTML and PDF version of the finding aid can easily be created via the same EAD document. EAD is interoperable with other standards like Encoded Archival Context.","abbreviation":"EAD XML","support_links":[{"url":"https://www2.archivists.org/contact","name":"SAA Contact Form","type":"Contact form"},{"url":"https://www2.archivists.org/groups/encoded-archival-standards-section/frequently-asked-questions-about-ead-and-ead3","name":"EAD FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/SAA-SDT/EAD3","name":"GitHub Repository","type":"Github"},{"url":"https://github.com/saa-ead-roundtable/ead3-toolkit","name":"EAD3 Starter Kit","type":"Github"},{"url":"https://www2.archivists.org/sites/all/files/TagLibrary-VersionEAD3_0.pdf","name":"Encoded Archival Description Tag Library","type":"Help documentation"}],"year_creation":2002},"legacy_ids":["bsg-001297","bsg-s001297"],"name":"FAIRsharing record for: Encoded Archival Description","abbreviation":"EAD XML","url":"https://fairsharing.org/10.25504/FAIRsharing.95f59a","doi":"10.25504/FAIRsharing.95f59a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Encoded Archival Description (EAD) is an XML standard for encoding archival finding aids, maintained by the Technical Subcommittee for Encoded Archival Standards of the Society of American Archivists, in partnership with the Library of Congress. The current version, EAD3, was first released in 2015. EAD reflects the hierarchical structure of archival collections, and allows for describing both the collection as a whole and its individual parts. EAD is an international archival standard and allows for the standardization of information within and across different repositories. EAD is used throughout the United States, Europe, Australia, and other countries. The structural elements of EAD are easily recognized and used in union catalogs like ArchiveGrid and consortiums like the Online Archive of California, Northwest Digital Archives, and Archives Portal Europe. EAD is expressed in XML, which is a structural and preservation format. XML facilitates repurposing of data. A finding aid in XML can be converted into a variety of different formats for display and access to users. An HTML and PDF version of the finding aid can easily be created via the same EAD document. EAD is interoperable with other standards like Encoded Archival Context.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13364}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Structured data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":102,"relation":"undefined"}],"grants":[{"id":7283,"fairsharing_record_id":1357,"organisation_id":2717,"relation":"maintains","created_at":"2021-09-30T09:28:32.456Z","updated_at":"2021-09-30T09:28:32.456Z","grant_id":null,"is_lead":true,"saved_state":{"id":2717,"name":"Technical Subcommittee for Encoded Archival Standards (TS-EAS), Society of American Archivists, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1337","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:27:13.902Z","metadata":{"doi":"10.25504/FAIRsharing.4cvwxa","name":"NCI Thesaurus","status":"ready","contacts":[{"contact_email":"ncicbiit@mail.nih.gov"}],"homepage":"https://ncit.nci.nih.gov","identifier":1337,"description":"NCI Thesaurus (NCIt) provides reference terminology for many NCI and other systems. It covers vocabulary for clinical care, translational and basic research, and public information and administrative activities. NCIt features: stable, unique codes for biomedical concepts; preferred terms, synonyms, research codes, external source codes, and other information; over 100,000 textual definitions; links to NCI Metathesaurus and other information sources; and over 400,000 cross-links between concepts, providing formal logic-based definition of many concepts. NCIt is a widely recognized standard for biomedical coding and reference, used by a broad variety of public and private partners both nationally and internationally including the Clinical Data Interchange Standards Consortium Terminology (CDISC), the U.S. Food and Drug Administration (FDA), the Federal Medication Terminologies (FMT), and the National Council for Prescription Drug Programs (NCPDP).","abbreviation":"NCIt","support_links":[{"url":"https://wiki.nci.nih.gov/display/EVS/NCI+Thesaurus+FAQ","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wiki.nci.nih.gov/display/VKC/NCI+Thesaurus+Terminology","name":"Additional information","type":"Help documentation"},{"url":"https://github.com/NCI-Thesaurus/thesaurus-obo-edition","name":"NCIT OBO Edition GitHub Repo","type":"Github"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NCIT","name":"NCIT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ncit.html","name":"ncit","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000096","bsg-s000096"],"name":"FAIRsharing record for: NCI Thesaurus","abbreviation":"NCIt","url":"https://fairsharing.org/10.25504/FAIRsharing.4cvwxa","doi":"10.25504/FAIRsharing.4cvwxa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NCI Thesaurus (NCIt) provides reference terminology for many NCI and other systems. It covers vocabulary for clinical care, translational and basic research, and public information and administrative activities. NCIt features: stable, unique codes for biomedical concepts; preferred terms, synonyms, research codes, external source codes, and other information; over 100,000 textual definitions; links to NCI Metathesaurus and other information sources; and over 400,000 cross-links between concepts, providing formal logic-based definition of many concepts. NCIt is a widely recognized standard for biomedical coding and reference, used by a broad variety of public and private partners both nationally and internationally including the Clinical Data Interchange Standards Consortium Terminology (CDISC), the U.S. Food and Drug Administration (FDA), the Federal Medication Terminologies (FMT), and the National Council for Prescription Drug Programs (NCPDP).","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17337},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11024},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11269},{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11814},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11958},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12417},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13178},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13201},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13238},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13280},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16976}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":["Cancer","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1877,"pubmed_id":15360769,"title":"NCI Thesaurus: using science-based terminology to integrate cancer research results.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/15360769","authors":"de Coronado S,Haber MW,Sioutos N,Tuttle MS,Wright LW","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-60750-949-3-33","created_at":"2021-09-30T08:25:51.141Z","updated_at":"2021-09-30T08:25:51.141Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2431,"relation":"undefined"},{"licence_name":"National Cancer Institute Policies","licence_id":543,"licence_url":"https://www.cancer.gov/policies","link_id":2427,"relation":"undefined"}],"grants":[{"id":7250,"fairsharing_record_id":1337,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:28:31.271Z","updated_at":"2021-09-30T09:28:31.271Z","grant_id":null,"is_lead":true,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1338","type":"fairsharing_records","attributes":{"created_at":"2020-05-08T10:01:59.000Z","updated_at":"2023-11-06T09:52:15.178Z","metadata":{"doi":"10.25504/FAIRsharing.X0q5BG","name":"Ciona robusta Anatomy and Development Ontology","status":"ready","contacts":[{"contact_name":"Delphine Dauga","contact_email":"delphine.dauga@contact-communication.com","contact_orcid":"0000-0003-3152-1194"}],"homepage":"https://www.aniseed.fr/aniseed/anatomy/find_devstage?module=aniseed\u0026action=anatomy:find_devstage","citations":[],"identifier":1338,"description":"The first ontology describing the anatomy and the development of Ciona robusta, based on the Hotta developmental tables.","abbreviation":null,"support_links":[{"url":"contact@aniseed.cnrs.fr","type":"Support email"}],"year_creation":2015},"legacy_ids":["bsg-001475","bsg-s001475"],"name":"FAIRsharing record for: Ciona robusta Anatomy and Development Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.X0q5BG","doi":"10.25504/FAIRsharing.X0q5BG","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The first ontology describing the anatomy and the development of Ciona robusta, based on the Hotta developmental tables.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Ciona robusta"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1014,"pubmed_id":20647237,"title":"The ANISEED database: digital representation, formalization, and elucidation of a chordate developmental program.","year":2010,"url":"http://doi.org/10.1101/gr.108175.110","authors":"Tassy O,Dauga D,Daian F,Sobral D,Lemaire P et al.","journal":"Genome Res","doi":"10.1101/gr.108175.110","created_at":"2021-09-30T08:24:12.272Z","updated_at":"2021-09-30T08:24:12.272Z"},{"id":2201,"pubmed_id":33087765,"title":"The ontology of the anatomy and development of the solitary ascidian Ciona: the swimming larva and its metamorphosis.","year":2020,"url":"http://doi.org/10.1038/s41598-020-73544-9","authors":"Hotta K,Dauga D,Manni L","journal":"Sci Rep","doi":"10.1038/s41598-020-73544-9","created_at":"2021-09-30T08:26:28.048Z","updated_at":"2021-09-30T08:26:28.048Z"}],"licence_links":[],"grants":[{"id":7254,"fairsharing_record_id":1338,"organisation_id":275,"relation":"maintains","created_at":"2021-09-30T09:28:31.421Z","updated_at":"2021-09-30T09:28:31.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":275,"name":"Bioself Communication, Cannes, France","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7251,"fairsharing_record_id":1338,"organisation_id":685,"relation":"maintains","created_at":"2021-09-30T09:28:31.313Z","updated_at":"2021-09-30T09:28:31.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":685,"name":"Department of Biosciences and Informatics, Faculty of Science and Technology, Keio University, Yokohama, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7252,"fairsharing_record_id":1338,"organisation_id":678,"relation":"maintains","created_at":"2021-09-30T09:28:31.351Z","updated_at":"2021-09-30T09:28:31.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":678,"name":"Department of Biology, University of Padova, Padova, Italy","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7253,"fairsharing_record_id":1338,"organisation_id":2870,"relation":"maintains","created_at":"2021-09-30T09:28:31.385Z","updated_at":"2021-09-30T09:28:31.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":2870,"name":"Transcriptional control of chordate morphogenesis Lab, CRBM, Montpellier, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":7255,"fairsharing_record_id":1338,"organisation_id":3001,"relation":"funds","created_at":"2021-09-30T09:28:31.463Z","updated_at":"2021-09-30T09:32:29.804Z","grant_id":1646,"is_lead":false,"saved_state":{"id":3001,"name":"University di Padova, Padova, Italy","grant":"Iniziative di Cooperazione Universitaria 2016","types":["University"],"is_lead":false,"relation":"funds"}},{"id":7256,"fairsharing_record_id":1338,"organisation_id":1614,"relation":"funds","created_at":"2021-09-30T09:28:31.502Z","updated_at":"2021-09-30T09:28:58.109Z","grant_id":35,"is_lead":false,"saved_state":{"id":1614,"name":"JSPS KAKENHI","grant":"JP16K07426","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8462,"fairsharing_record_id":1338,"organisation_id":1614,"relation":"funds","created_at":"2021-09-30T09:32:44.860Z","updated_at":"2021-09-30T09:32:44.908Z","grant_id":1760,"is_lead":false,"saved_state":{"id":1614,"name":"JSPS KAKENHI","grant":"JP16H01451","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1354","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T09:01:25.000Z","updated_at":"2022-07-26T15:14:03.684Z","metadata":{"doi":"10.25504/FAIRsharing.995b08","name":"Unidata's Network Common Data Form Data Model","status":"ready","contacts":[{"contact_name":"Unidata Support","contact_email":"support@unidata.ucar.edu"}],"homepage":"https://www.unidata.ucar.edu/software/netcdf/docs/netcdf_data_model.html","identifier":1354,"description":"Unidata’s Network Common Data Form (netCDF) is a set of software libraries and a machine-independent data format that support the creation, access, and sharing of array-oriented scientific data. This record describes the data format and not the software libraries. The netCDF Data Model is also a community standard for sharing scientific data. The data model of dimensions, variables, and attributes, which define the The Classic Model, was extended starting with netCDF-4.0. The new The Enhanced Data Model supports the classic model in a completely backward-compatible way, while allowing access to new features such as groups, multiple unlimited dimensions, and new types, including user-defined types. For maximum interoparability with existing code, new data should be created with the The Classic Model. The Classic Model was introduced with the very first netCDF release, and is still the core of all netCDF files.","abbreviation":"netCDF","support_links":[{"url":"https://www.unidata.ucar.edu/software/netcdf/docs/index.html","name":"netCDF Documentation","type":"Help documentation"}],"year_creation":1994},"legacy_ids":["bsg-001210","bsg-s001210"],"name":"FAIRsharing record for: Unidata's Network Common Data Form Data Model","abbreviation":"netCDF","url":"https://fairsharing.org/10.25504/FAIRsharing.995b08","doi":"10.25504/FAIRsharing.995b08","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Unidata’s Network Common Data Form (netCDF) is a set of software libraries and a machine-independent data format that support the creation, access, and sharing of array-oriented scientific data. This record describes the data format and not the software libraries. The netCDF Data Model is also a community standard for sharing scientific data. The data model of dimensions, variables, and attributes, which define the The Classic Model, was extended starting with netCDF-4.0. The new The Enhanced Data Model supports the classic model in a completely backward-compatible way, while allowing access to new features such as groups, multiple unlimited dimensions, and new types, including user-defined types. For maximum interoparability with existing code, new data should be created with the The Classic Model. The Classic Model was introduced with the very first netCDF release, and is still the core of all netCDF files.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Unidata Copyright Statement","licence_id":819,"licence_url":"https://www.unidata.ucar.edu/software/netcdf/docs/copyright.html","link_id":201,"relation":"undefined"}],"grants":[{"id":9698,"fairsharing_record_id":1354,"organisation_id":3608,"relation":"maintains","created_at":"2022-07-26T08:49:53.869Z","updated_at":"2022-07-26T08:49:53.869Z","grant_id":null,"is_lead":true,"saved_state":{"id":3608,"name":"Working Group on Fisheries Acoustics, Science and Technology","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7280,"fairsharing_record_id":1354,"organisation_id":2912,"relation":"maintains","created_at":"2021-09-30T09:28:32.361Z","updated_at":"2021-09-30T09:28:32.361Z","grant_id":null,"is_lead":false,"saved_state":{"id":2912,"name":"Unidata, United States","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1355","type":"fairsharing_records","attributes":{"created_at":"2018-09-24T13:34:12.000Z","updated_at":"2023-09-29T11:54:58.343Z","metadata":{"name":"ISO 19115-2:2009 Geographic information -- Metadata -- Part 2: Extensions for imagery and gridded data","status":"deprecated","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/39229.html","identifier":1355,"description":"ISO 19115-2:2009 extends the existing geographic metadata standard by defining the schema required for describing imagery and gridded data. It provides information about the properties of the measuring equipment used to acquire the data, the geometry of the measuring process employed by the equipment, and the production process used to digitize the raw data. This extension deals with metadata needed to describe the derivation of geographic information from raw data, including the properties of the measuring system, and the numerical methods and computational procedures used in the derivation. The metadata required to address coverage data in general is addressed sufficiently in the general part of ISO 19115 (ISO 19115-1:2014).","abbreviation":"ISO 19115-2:2009","support_links":[{"url":"https://www.iso.org/frequently-asked-questions-faqs.html","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2009,"deprecation_date":"2021-01-13","deprecation_reason":"This ISO standard has now been withdrawn."},"legacy_ids":["bsg-001291","bsg-s001291"],"name":"FAIRsharing record for: ISO 19115-2:2009 Geographic information -- Metadata -- Part 2: Extensions for imagery and gridded data","abbreviation":"ISO 19115-2:2009","url":"https://fairsharing.org/fairsharing_records/1355","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115-2:2009 extends the existing geographic metadata standard by defining the schema required for describing imagery and gridded data. It provides information about the properties of the measuring equipment used to acquire the data, the geometry of the measuring process employed by the equipment, and the production process used to digitize the raw data. This extension deals with metadata needed to describe the derivation of geographic information from raw data, including the properties of the measuring system, and the numerical methods and computational procedures used in the derivation. The metadata required to address coverage data in general is addressed sufficiently in the general part of ISO 19115 (ISO 19115-1:2014).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location","Image"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1514,"relation":"undefined"}],"grants":[{"id":7281,"fairsharing_record_id":1355,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:28:32.392Z","updated_at":"2021-09-30T09:28:32.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10923,"fairsharing_record_id":1355,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:16:11.530Z","updated_at":"2023-09-27T14:16:11.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1429","type":"fairsharing_records","attributes":{"created_at":"2015-08-04T17:06:17.000Z","updated_at":"2022-10-10T20:27:54.947Z","metadata":{"doi":"10.25504/FAIRsharing.8y5ayx","name":"Common Workflow Language","status":"ready","contacts":[{"contact_name":"Michael R. Crusoe","contact_email":"mrc@commonwl.org","contact_orcid":"0000-0002-2961-9670"}],"homepage":"http://www.commonwl.org","citations":[{"doi":"10.1145/3486897","pubmed_id":null,"publication_id":3332}],"identifier":1429,"description":"Common Workflow Language (CWL) is an open standard for describing how to run command line tools and connect them to create workflows.\n\nTools and workflows described using CWL are portable across a variety of platforms that support the CWL standards. Using CWL, it easy to scale complex data analysis and machine learning workflows from a single developer's laptop up to massively parallel cluster, cloud and high performance computing environments.","abbreviation":"CWL","support_links":[{"url":"https://cwl.discourse.group/","type":"Forum"},{"url":"https://groups.google.com/forum/#!forum/common-workflow-language","name":"CWL Mailing List","type":"Mailing list"},{"url":"https://www.commonwl.org/user_guide/","type":"Help documentation"},{"url":"https://github.com/common-workflow-language/common-workflow-language","type":"Github"}],"year_creation":2014},"legacy_ids":["bsg-000606","bsg-s000606"],"name":"FAIRsharing record for: Common Workflow Language","abbreviation":"CWL","url":"https://fairsharing.org/10.25504/FAIRsharing.8y5ayx","doi":"10.25504/FAIRsharing.8y5ayx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Common Workflow Language (CWL) is an open standard for describing how to run command line tools and connect them to create workflows.\n\nTools and workflows described using CWL are portable across a variety of platforms that support the CWL standards. Using CWL, it easy to scale complex data analysis and machine learning workflows from a single developer's laptop up to massively parallel cluster, cloud and high performance computing environments.","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11030},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16903}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Hydrogeology","Humanities","Cheminformatics","Metagenomics","Genomics","Bioinformatics","Geoinformatics","Astrophysics and Astronomy","Microbial Genetics","Hydrography","Natural Science","Hydrology","Plant Genetics"],"domains":["Cancer","Next generation DNA sequencing","Workflow","Rare disease","Genetic disorder"],"taxonomies":["All","SARS-CoV-2"],"user_defined_tags":["COVID-19","earth observation","Geospatial Data","High Energy Physics","SciWorkflows"],"countries":["Australia","Belgium","Canada","France","Germany","India","Japan","Lithuania","Netherlands","Romania","Serbia","Spain","Sweden","Switzerland","Ukraine","United Kingdom","United States","European Union"],"publications":[{"id":1461,"pubmed_id":null,"title":"Common Workflow Language, v1.0","year":2016,"url":"http://doi.org/10.6084/m9.figshare.3115156.v2","authors":"Peter Amstutz, Michael R. Crusoe, Nebojša Tijanić, Brad Chapman, John Chilton, Michael Heuer, Andrey Kartashov, Dan Leehr, Hervé Ménager, Maya Nedeljkovich, Matt Scales, Stian Soiland-Reyes, Luka Stojanovic","journal":"Figshare","doi":"10.6084/m9.figshare.3115156.v2","created_at":"2021-09-30T08:25:03.269Z","updated_at":"2021-09-30T08:25:03.269Z"},{"id":2139,"pubmed_id":null,"title":"Common Workflow Language, draft 3","year":2016,"url":"http://doi.org/10.6084/M9.FIGSHARE.3115156","authors":"Peter Amstutz, Robin Andeer, Brad Chapman, John Chilton, Michael R. Crusoe, Roman Valls Guimerà, ..., Nebojša Tijanić","journal":"Figshare","doi":"10.6084/M9.FIGSHARE.3115156","created_at":"2021-09-30T08:26:21.150Z","updated_at":"2021-09-30T08:26:21.150Z"},{"id":3332,"pubmed_id":null,"title":"Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language","year":2022,"url":"https://arxiv.org/abs/2105.07028","authors":"Michael R. Crusoe, Sanne Abeln, Alexandru Iosup, Peter Amstutz, John Chilton, Nebojša Tijanić, Hervé Ménager, Stian Soiland-Reyes, Bogdan Gavrilović, Carole Goble, The CWL Community","journal":"CACM","doi":"10.1145/3486897","created_at":"2022-04-25T13:14:31.800Z","updated_at":"2022-04-25T13:14:31.800Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2085,"relation":"undefined"}],"grants":[{"id":7449,"fairsharing_record_id":1429,"organisation_id":2588,"relation":"maintains","created_at":"2021-09-30T09:28:38.040Z","updated_at":"2021-09-30T09:28:38.040Z","grant_id":null,"is_lead":true,"saved_state":{"id":2588,"name":"Software Freedom Conservancy, Inc","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYXM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3874415accee2a8edec898042ac33ab477e5f628/CWL-Logo-4k.png?disposition=inline","exhaustive_licences":false}},{"id":"1430","type":"fairsharing_records","attributes":{"created_at":"2020-08-07T19:00:15.000Z","updated_at":"2022-07-20T12:53:50.397Z","metadata":{"doi":"10.25504/FAIRsharing.eZ0fzl","name":"Adaptive Immune Receptor Repertoire: Repertoire Schema","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/datarep/metadata.html","citations":[{"doi":"10.3389/fimmu.2018.02206","pubmed_id":30323809,"publication_id":3025}],"identifier":1430,"description":"The Adaptive Immune Receptor Repertoire (AIRR) Repertoire Schema, part of the AIRR Data Model, describes an abstract organizational unit of analysis that is defined by the researcher and consists of study metadata, subject metadata, sample metadata, cell processing metadata, nucleic acid processing metadata, sequencing run metadata, a set of raw sequence files, data processing metadata, and a set of Rearrangements. A Repertoire gathers all of this information together into a composite object, which can be easily accessed by computer programs for data entry, analysis and visualization. The AIRR Repertoire Schema has been implemented in YAML/JSON, which provides a mechanism to share AIRR Repertoire metadata between research projects.","abbreviation":"AIRR Repertoire Schema","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001517","bsg-s001517"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire: Repertoire Schema","abbreviation":"AIRR Repertoire Schema","url":"https://fairsharing.org/10.25504/FAIRsharing.eZ0fzl","doi":"10.25504/FAIRsharing.eZ0fzl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adaptive Immune Receptor Repertoire (AIRR) Repertoire Schema, part of the AIRR Data Model, describes an abstract organizational unit of analysis that is defined by the researcher and consists of study metadata, subject metadata, sample metadata, cell processing metadata, nucleic acid processing metadata, sequencing run metadata, a set of raw sequence files, data processing metadata, and a set of Rearrangements. A Repertoire gathers all of this information together into a composite object, which can be easily accessed by computer programs for data entry, analysis and visualization. The AIRR Repertoire Schema has been implemented in YAML/JSON, which provides a mechanism to share AIRR Repertoire metadata between research projects.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11822}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex","Antibody"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3025,"pubmed_id":30323809,"title":"AIRR Community Standardized Representations for Annotated Immune Repertoires.","year":2018,"url":"http://doi.org/10.3389/fimmu.2018.02206","authors":"Vander Heiden JA,Marquez S,Marthandan N,Bukhari SAC,Busse CE,Corrie B,Hershberg U,Kleinstein SH,Matsen Iv FA,Ralph DK,Rosenfeld AM,Schramm CA,Christley S,Laserson U","journal":"Front Immunol","doi":"10.3389/fimmu.2018.02206","created_at":"2021-09-30T08:28:12.866Z","updated_at":"2021-09-30T08:28:12.866Z"},{"id":3027,"pubmed_id":null,"title":"The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons","year":2020,"url":"http://doi.org/10.3389/fdata.2020.00022","authors":"Christley S, Aguiar A, Blanck G, Breden F, Bukhari S, Busse C, Jaglale J, Harikrishnan S., Laserson U, Peters B, Rocha A, Schramm C., Taylor S, Vander Heiden J, Zimonja B, Watson C., Corrie B, Cowell L","journal":"Frontiers in Big Data","doi":"10.3389/fdata.2020.00022","created_at":"2021-09-30T08:28:13.092Z","updated_at":"2021-09-30T08:28:13.092Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1951,"relation":"undefined"}],"grants":[{"id":7450,"fairsharing_record_id":1430,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.064Z","updated_at":"2021-09-30T09:28:38.064Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1431","type":"fairsharing_records","attributes":{"created_at":"2020-10-06T09:49:18.000Z","updated_at":"2022-07-20T12:04:17.042Z","metadata":{"doi":"10.25504/FAIRsharing.Nx0ddm","name":"Adaptive Immune Receptor Repertoire Data Model","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/datarep/overview.html","citations":[{"doi":"10.3389/fimmu.2018.02206","pubmed_id":30323809,"publication_id":3025}],"identifier":1431,"description":"The MiAIRR standard defines the minimal information for submission and publication of AIRR-seq datasets. The Adaptive Immune Receptor Repertoire (AIRR) Data Model defines a schema for the MiAIRR data elements, structuring them within schema objects, defining the relationship between those objects, and defining a file format. Increased interest in the immune system's involvement in pathophysiological phenomena coupled with decreased DNA sequencing costs have led to an explosion of antibody and T cell receptor sequencing data collectively termed \"adaptive immune receptor repertoire sequencing\" (AIRR-seq or Rep-Seq). The AIRR Community has been actively working to standardize protocols, metadata, formats, APIs, and other guidelines to promote open and reproducible studies of the immune repertoire.","abbreviation":"AIRR Data Model","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001532","bsg-s001532"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Data Model","abbreviation":"AIRR Data Model","url":"https://fairsharing.org/10.25504/FAIRsharing.Nx0ddm","doi":"10.25504/FAIRsharing.Nx0ddm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MiAIRR standard defines the minimal information for submission and publication of AIRR-seq datasets. The Adaptive Immune Receptor Repertoire (AIRR) Data Model defines a schema for the MiAIRR data elements, structuring them within schema objects, defining the relationship between those objects, and defining a file format. Increased interest in the immune system's involvement in pathophysiological phenomena coupled with decreased DNA sequencing costs have led to an explosion of antibody and T cell receptor sequencing data collectively termed \"adaptive immune receptor repertoire sequencing\" (AIRR-seq or Rep-Seq). The AIRR Community has been actively working to standardize protocols, metadata, formats, APIs, and other guidelines to promote open and reproducible studies of the immune repertoire.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11823}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":3025,"pubmed_id":30323809,"title":"AIRR Community Standardized Representations for Annotated Immune Repertoires.","year":2018,"url":"http://doi.org/10.3389/fimmu.2018.02206","authors":"Vander Heiden JA,Marquez S,Marthandan N,Bukhari SAC,Busse CE,Corrie B,Hershberg U,Kleinstein SH,Matsen Iv FA,Ralph DK,Rosenfeld AM,Schramm CA,Christley S,Laserson U","journal":"Front Immunol","doi":"10.3389/fimmu.2018.02206","created_at":"2021-09-30T08:28:12.866Z","updated_at":"2021-09-30T08:28:12.866Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1886,"relation":"undefined"}],"grants":[{"id":7451,"fairsharing_record_id":1431,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.095Z","updated_at":"2021-09-30T09:28:38.095Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1432","type":"fairsharing_records","attributes":{"created_at":"2020-08-07T19:04:40.000Z","updated_at":"2021-11-24T13:16:58.025Z","metadata":{"doi":"10.25504/FAIRsharing.eNSzPf","name":"Adaptive Immune Receptor Repertoire Software Guidelines","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_standard.html","identifier":1432,"description":"The Adaptive Immune Receptor Repertoire (AIRR) Software Guidelines were created by the AIRR Software Working Group to promote standards for AIRR software tools and resources in order to enable rigorous and reproducible immune repertoire research at the largest scale possible. As one contribution to this goal, we have established the a number of standards for software tools. Authors whose tools comply with this standard will, subject to ratification from the AIRR Software WG, be permitted to advertise their tools as being AIRR-compliant. The guidelines include a compliance checklist, a list of compliant tools, and recommended software evaluation data sets.","abbreviation":"AIRR Software Guidelines","support_links":[{"url":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_checklist.html","name":"Compliance Checklist","type":"Help documentation"},{"url":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_compliant.html","name":"List of Compliant Tools","type":"Help documentation"},{"url":"https://docs.airr-community.org/en/stable/swtools/airr_swtools_data.html","name":"Recommended Software Evaluation Datasets","type":"Help documentation"}],"year_creation":2019},"legacy_ids":["bsg-001518","bsg-s001518"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Software Guidelines","abbreviation":"AIRR Software Guidelines","url":"https://fairsharing.org/10.25504/FAIRsharing.eNSzPf","doi":"10.25504/FAIRsharing.eNSzPf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adaptive Immune Receptor Repertoire (AIRR) Software Guidelines were created by the AIRR Software Working Group to promote standards for AIRR software tools and resources in order to enable rigorous and reproducible immune repertoire research at the largest scale possible. As one contribution to this goal, we have established the a number of standards for software tools. Authors whose tools comply with this standard will, subject to ratification from the AIRR Software WG, be permitted to advertise their tools as being AIRR-compliant. The guidelines include a compliance checklist, a list of compliant tools, and recommended software evaluation data sets.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11821}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunogenetics"],"domains":["T cell receptor complex","Antibody"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7452,"fairsharing_record_id":1432,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:38.124Z","updated_at":"2021-09-30T09:28:38.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1436","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-24T07:44:43.434Z","metadata":{"doi":"10.25504/FAIRsharing.sggb1n","name":"Gene Transfer Format","status":"ready","contacts":[{"contact_name":"Michael Brent","contact_email":"brent@wustl.edu"}],"homepage":"http://mblab.wustl.edu/GTF22.html","citations":[],"identifier":1436,"description":"The Gene transfer format (GTF) is a file format used to hold information about gene structure. It is a tab-delimited text format based on the general feature format (GFF), but contains some additional conventions specific to gene information. A significant feature of the GTF is that it is validatable: given a sequence and a GTF file, one can check that the format is correct. This significantly reduces problems with the interchange of data between groups.","abbreviation":"GTF"},"legacy_ids":["bsg-000238","bsg-s000238"],"name":"FAIRsharing record for: Gene Transfer Format","abbreviation":"GTF","url":"https://fairsharing.org/10.25504/FAIRsharing.sggb1n","doi":"10.25504/FAIRsharing.sggb1n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene transfer format (GTF) is a file format used to hold information about gene structure. It is a tab-delimited text format based on the general feature format (GFF), but contains some additional conventions specific to gene information. A significant feature of the GTF is that it is validatable: given a sequence and a GTF file, one can check that the format is correct. This significantly reduces problems with the interchange of data between groups.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11986}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7468,"fairsharing_record_id":1436,"organisation_id":3221,"relation":"maintains","created_at":"2021-09-30T09:28:38.756Z","updated_at":"2021-09-30T09:28:38.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":3221,"name":"Washington University in St Louis, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1437","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T13:35:08.000Z","updated_at":"2022-07-20T10:17:49.238Z","metadata":{"doi":"10.25504/FAIRsharing.YGPmfW","name":"Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Binding of Glycans to Receptors","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#nmrglycanrecognition","citations":[],"identifier":1437,"description":"These guidelines are proposed to comprehensively describe the NMR experiments and data obtained to characterize glycan recognition by various receptors. The receptor can be a glycan binding protein (such as lectins and antibodies), a glycan binding organism (such as cells) or can have a different nature including synthetic glycan binding molecules.","abbreviation":"MIRAGE NMR Guidelines - Glycan Recognition","year_creation":2020},"legacy_ids":["bsg-001542","bsg-s001542"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Binding of Glycans to Receptors","abbreviation":"MIRAGE NMR Guidelines - Glycan Recognition","url":"https://fairsharing.org/10.25504/FAIRsharing.YGPmfW","doi":"10.25504/FAIRsharing.YGPmfW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines are proposed to comprehensively describe the NMR experiments and data obtained to characterize glycan recognition by various receptors. The receptor can be a glycan binding protein (such as lectins and antibodies), a glycan binding organism (such as cells) or can have a different nature including synthetic glycan binding molecules.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12131}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Glycomics"],"domains":["Receptor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Spain","United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1577,"relation":"undefined"}],"grants":[{"id":7470,"fairsharing_record_id":1437,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:38.806Z","updated_at":"2021-09-30T09:28:38.806Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7469,"fairsharing_record_id":1437,"organisation_id":2963,"relation":"maintains","created_at":"2021-09-30T09:28:38.783Z","updated_at":"2021-09-30T09:28:38.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":2963,"name":"Universidad Complutense Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7471,"fairsharing_record_id":1437,"organisation_id":2831,"relation":"maintains","created_at":"2021-09-30T09:28:38.833Z","updated_at":"2021-09-30T09:28:38.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":2831,"name":"The Scripps Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWVk9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b532be82796c6823f173dd830e98dd1d79e2010d/Logo_Beilstein_MIRAGE_RGB.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1438","type":"fairsharing_records","attributes":{"created_at":"2020-12-07T14:41:23.000Z","updated_at":"2022-07-20T12:08:17.428Z","metadata":{"doi":"10.25504/FAIRsharing.de40c7","name":"Observations Data Model 2","status":"ready","contacts":[{"contact_name":"Jeffery S. Horsburgh","contact_email":"jeff.horsburgh@usu.edu"}],"homepage":"https://www.odm2.org/","citations":[{"publication_id":3086}],"identifier":1438,"description":"Observations Data Model 2 (ODM2) is an information model for feature-based earth observations, designed to facilitate interoperability across scientific disciplines and domains. ODM2's metadata is structured around sampling, sensing, and analysis workflows. It also provides a supporting software ecosystem. Implementing the ODM2 data model as a database allows the integration of hydrological time series, soil and sediment geochemistry, biodiversity surveys, oceanographic sensor profiles, and multi-dimensional spectra.","abbreviation":"ODM2","support_links":[{"url":"https://github.com/ODM2/ODM2/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/ODM2/","name":"GitHub Project","type":"Github"},{"url":"https://github.com/ODM2/ODM2/wiki/Documentation","name":"ODM2 Documentation","type":"Github"}],"year_creation":2016,"associated_tools":[{"url":"https://github.com/ODM2/odm2-software-ecosystem","name":"ODM2 Software Ecosystem"}]},"legacy_ids":["bsg-001550","bsg-s001550"],"name":"FAIRsharing record for: Observations Data Model 2","abbreviation":"ODM2","url":"https://fairsharing.org/10.25504/FAIRsharing.de40c7","doi":"10.25504/FAIRsharing.de40c7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Observations Data Model 2 (ODM2) is an information model for feature-based earth observations, designed to facilitate interoperability across scientific disciplines and domains. ODM2's metadata is structured around sampling, sensing, and analysis workflows. It also provides a supporting software ecosystem. Implementing the ODM2 data model as a database allows the integration of hydrological time series, soil and sediment geochemistry, biodiversity surveys, oceanographic sensor profiles, and multi-dimensional spectra.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geochemistry","Hydrogeology","Geology","Biodiversity","Oceanography","Hydrology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation"],"countries":["United States"],"publications":[{"id":3086,"pubmed_id":null,"title":"Observations Data Model 2: A community information model for spatially discrete Earth observations","year":2016,"url":"http://dx.doi.org/10.1016/j.envsoft.2016.01.010","authors":"Horsburgh, J. S., Aufdenkampe, A. K., Mayorga, E., Lehnert, K. A., Hsu, L., Song, L., Spackman Jones, A., Damiano, S. G., Tarboton, D. G., Valentine, D., Zaslavsky, I., Whitenack, T.","journal":"Environmental Modelling \u0026 Software","doi":null,"created_at":"2021-09-30T08:28:20.243Z","updated_at":"2021-09-30T08:28:20.243Z"}],"licence_links":[{"licence_name":"ODM2 License","licence_id":610,"licence_url":"https://github.com/ODM2/ODM2/blob/master/LICENSE","link_id":2220,"relation":"undefined"}],"grants":[{"id":7473,"fairsharing_record_id":1438,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:28:38.890Z","updated_at":"2021-09-30T09:28:38.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7477,"fairsharing_record_id":1438,"organisation_id":3175,"relation":"maintains","created_at":"2021-09-30T09:28:39.034Z","updated_at":"2021-09-30T09:28:39.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":3175,"name":"Utah State University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7472,"fairsharing_record_id":1438,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:28:38.865Z","updated_at":"2021-09-30T09:28:38.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7474,"fairsharing_record_id":1438,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:28:38.921Z","updated_at":"2021-09-30T09:28:38.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7475,"fairsharing_record_id":1438,"organisation_id":2656,"relation":"maintains","created_at":"2021-09-30T09:28:38.963Z","updated_at":"2021-09-30T09:28:38.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":2656,"name":"Stroud Water Research Center, Avondale, PA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7478,"fairsharing_record_id":1438,"organisation_id":2225,"relation":"maintains","created_at":"2021-09-30T09:28:39.072Z","updated_at":"2021-09-30T09:28:39.072Z","grant_id":null,"is_lead":true,"saved_state":{"id":2225,"name":"ODM2 Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7476,"fairsharing_record_id":1438,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:28:39.001Z","updated_at":"2021-09-30T09:30:27.319Z","grant_id":719,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR 1224638","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1439","type":"fairsharing_records","attributes":{"created_at":"2020-10-19T11:16:51.000Z","updated_at":"2021-11-24T13:16:58.102Z","metadata":{"doi":"10.25504/FAIRsharing.tzlO4X","name":"Adaptive Immune Receptor Repertoire Data Commons API Specification","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bcorrie@sfu.ca","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://docs.airr-community.org/en/stable/api/adc_api.html","citations":[{"publication_id":3062}],"identifier":1439,"description":"The AIRR Data Commons (ADC) API provides programmatic access to query and download AIRR-seq data. The ADC API uses JSON as its communication format, and standard HTTP methods like GET and POST. The ADC API is read-only and the mechanism of inclusion of AIRR-seq studies into a data repository is left up to the repository. The ADC API Specification explains how to construct and execute API requests and interpret API responses.","abbreviation":"ADC API Specification","support_links":[{"url":"https://github.com/airr-community/airr-standards","name":"GitHub Project","type":"Github"}],"year_creation":2020},"legacy_ids":["bsg-001535","bsg-s001535"],"name":"FAIRsharing record for: Adaptive Immune Receptor Repertoire Data Commons API Specification","abbreviation":"ADC API Specification","url":"https://fairsharing.org/10.25504/FAIRsharing.tzlO4X","doi":"10.25504/FAIRsharing.tzlO4X","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AIRR Data Commons (ADC) API provides programmatic access to query and download AIRR-seq data. The ADC API uses JSON as its communication format, and standard HTTP methods like GET and POST. The ADC API is read-only and the mechanism of inclusion of AIRR-seq studies into a data repository is left up to the repository. The ADC API Specification explains how to construct and execute API requests and interpret API responses.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11824}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Immunogenetics","Virology","Epidemiology"],"domains":["T cell receptor complex"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["APIstandard"],"countries":["Worldwide"],"publications":[{"id":3062,"pubmed_id":null,"title":"The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons","year":2020,"url":"https://doi.org/10.3389/fdata.2020.00022","authors":"Christley Scott, Aguiar Ademar, Blanck George, et al.","journal":"Frontiers in Big Data","doi":null,"created_at":"2021-09-30T08:28:17.333Z","updated_at":"2021-09-30T08:28:17.333Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2103,"relation":"undefined"}],"grants":[{"id":7479,"fairsharing_record_id":1439,"organisation_id":22,"relation":"maintains","created_at":"2021-09-30T09:28:39.113Z","updated_at":"2021-09-30T09:28:39.113Z","grant_id":null,"is_lead":true,"saved_state":{"id":22,"name":"Adaptive Immune Receptor Repertoire (AIRR) Community","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1440","type":"fairsharing_records","attributes":{"created_at":"2020-11-18T13:40:21.000Z","updated_at":"2022-07-20T10:29:50.735Z","metadata":{"doi":"10.25504/FAIRsharing.rzLrS8","name":"Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Glycan Structures","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-institut.de/en/projects/mirage/guidelines/#nmrglycanstructures","citations":[],"identifier":1440,"description":"These guidelines are proposed to comprehensively describe NMR experiments and data obtained for the characterization of glycan composition, glycan conformation and glycan dynamics both for natural and unnatural glycans.","abbreviation":"MIRAGE NMR Guidelines - Glycan Structures","year_creation":2020},"legacy_ids":["bsg-001543","bsg-s001543"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Glycan Structures","abbreviation":"MIRAGE NMR Guidelines - Glycan Structures","url":"https://fairsharing.org/10.25504/FAIRsharing.rzLrS8","doi":"10.25504/FAIRsharing.rzLrS8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: These guidelines are proposed to comprehensively describe NMR experiments and data obtained for the characterization of glycan composition, glycan conformation and glycan dynamics both for natural and unnatural glycans.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12130}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biochemistry","Glycomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Glycan Annotation","Glycan sequences"],"countries":["Germany","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1202,"relation":"undefined"}],"grants":[{"id":7480,"fairsharing_record_id":1440,"organisation_id":2963,"relation":"maintains","created_at":"2021-09-30T09:28:39.151Z","updated_at":"2021-09-30T09:28:39.151Z","grant_id":null,"is_lead":false,"saved_state":{"id":2963,"name":"Universidad Complutense Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7481,"fairsharing_record_id":1440,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:28:39.184Z","updated_at":"2021-09-30T09:28:39.184Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":7482,"fairsharing_record_id":1440,"organisation_id":2831,"relation":"maintains","created_at":"2021-09-30T09:28:39.207Z","updated_at":"2021-09-30T09:28:39.207Z","grant_id":null,"is_lead":false,"saved_state":{"id":2831,"name":"The Scripps Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWWM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8ed4813a3e2013360a8d6d51d4311639fa3c5512/Logo_Beilstein_MIRAGE_RGB.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1433","type":"fairsharing_records","attributes":{"created_at":"2016-10-20T19:16:24.000Z","updated_at":"2022-07-20T09:30:02.372Z","metadata":{"doi":"10.25504/FAIRsharing.vrhbra","name":"Minimum Information Required for A Glycomics Experiment - Sample Preparation","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"ckettner@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"http://www.beilstein-institut.de/en/projects/mirage/guidelines#sample_preparations","citations":[],"identifier":1433,"description":"MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. The sample preparation guidelines are designed to include all aspects of sample generation, purification and modification from biological and/or synthetic material. Fundamentally, the application of MIRAGE sample preparation guidelines will lead to improved recording of experimental protocols and reporting of understandable and reproducible glycomics datasets. In addition, these guidelines are considered as a common basis for any further MIRAGE reporting guidelines in order to keep the requirements for data analysis short and consistent.","abbreviation":"MIRAGE - Sample Preparation","year_creation":2016},"legacy_ids":["bsg-000682","bsg-s000682"],"name":"FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Sample Preparation","abbreviation":"MIRAGE - Sample Preparation","url":"https://fairsharing.org/10.25504/FAIRsharing.vrhbra","doi":"10.25504/FAIRsharing.vrhbra","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. The sample preparation guidelines are designed to include all aspects of sample generation, purification and modification from biological and/or synthetic material. Fundamentally, the application of MIRAGE sample preparation guidelines will lead to improved recording of experimental protocols and reporting of understandable and reproducible glycomics datasets. In addition, these guidelines are considered as a common basis for any further MIRAGE reporting guidelines in order to keep the requirements for data analysis short and consistent.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12066}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Glycomics"],"domains":["Sample preparation for assay","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Germany","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":682,"pubmed_id":24653214,"title":"MIRAGE: The minimum information required for a glycomics experiment","year":2014,"url":"http://doi.org/10.1093/glycob/cwu018","authors":"York WS, Agravat S, Aoki-Kinoshita KF et al.","journal":"Glycobiology","doi":"10.1093/glycob/cwu018","created_at":"2021-09-30T08:23:35.195Z","updated_at":"2021-09-30T08:23:35.195Z"},{"id":2861,"pubmed_id":27654115,"title":"The minimum information required for a glycomics experiment (MIRAGE) project: sample preparation guidelines for reliable reporting of glycomics datasets.","year":2016,"url":"http://doi.org/10.1093/glycob/cww082","authors":"Struwe WB,Agravat S,Aoki-Kinoshita KF,Campbell MP,Costello CE,Dell A,Ten Feizi,Haslam SM,Karlsson NG,Khoo KH,Kolarich D,Liu Y,McBride R,Novotny MV,Packer NH,Paulson JC,Rapp E,Ranzinger R,Rudd PM,Smith DF,Tiemeyer M,Wells L,York WS,Zaia J,Kettner C","journal":"Glycobiology","doi":"10.1093/glycob/cww082.","created_at":"2021-09-30T08:27:52.015Z","updated_at":"2021-09-30T08:27:52.015Z"}],"licence_links":[],"grants":[{"id":7455,"fairsharing_record_id":1433,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:28:38.220Z","updated_at":"2021-09-30T09:28:38.220Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7458,"fairsharing_record_id":1433,"organisation_id":1741,"relation":"maintains","created_at":"2021-09-30T09:28:38.335Z","updated_at":"2021-09-30T09:28:38.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1741,"name":"Macquarie University, Sydney, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7453,"fairsharing_record_id":1433,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:28:38.148Z","updated_at":"2021-09-30T09:28:38.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7454,"fairsharing_record_id":1433,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:28:38.178Z","updated_at":"2021-09-30T09:28:38.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7456,"fairsharing_record_id":1433,"organisation_id":3058,"relation":"maintains","created_at":"2021-09-30T09:28:38.262Z","updated_at":"2021-09-30T09:28:38.262Z","grant_id":null,"is_lead":false,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7457,"fairsharing_record_id":1433,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:28:38.301Z","updated_at":"2021-09-30T09:28:38.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWUE9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7887199a48e9d608d3b985e48c0eb5a9fe9e7341/MIRAGE_new_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1434","type":"fairsharing_records","attributes":{"created_at":"2020-11-12T09:36:05.000Z","updated_at":"2022-07-20T09:16:51.608Z","metadata":{"doi":"10.25504/FAIRsharing.a2e4bb","name":"International Federation of Digital Seismograph Networks StationXML","status":"ready","contacts":[{"contact_name":"FDSN Webmaster","contact_email":"webmaster@fdsn.org"}],"homepage":"http://www.fdsn.org/xml/station/","identifier":1434,"description":"The FDSN StationXML schema defines an XML representation of the most important and commonly-used structures of SEED 2.4 metadata with enhancements. This format is intended primarily for the archival and exchange of seismological time series data and related metadata. The goal is to allow mapping between SEED 2.4 dataless SEED volumes and this schema with as little transformation or loss of information as possible, while at the same time simplifying station metadata representation when possible. Also, content and clarification has been added where lacking in the SEED standard. When definitions and usage are under-defined the SEED manual should be referred to for clarification.","abbreviation":"FDSN StationXML","support_links":[{"url":"https://github.com/FDSN/StationXML/issues","name":"Issue Tracker","type":"Github"},{"url":"http://www.fdsn.org/xml/station/Variations-FDSNSXML-SEED.txt","name":"Differences with SEED 2.4","type":"Help documentation"},{"url":"https://github.com/FDSN/StationXML","name":"GitHub Project","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-001538","bsg-s001538"],"name":"FAIRsharing record for: International Federation of Digital Seismograph Networks StationXML","abbreviation":"FDSN StationXML","url":"https://fairsharing.org/10.25504/FAIRsharing.a2e4bb","doi":"10.25504/FAIRsharing.a2e4bb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FDSN StationXML schema defines an XML representation of the most important and commonly-used structures of SEED 2.4 metadata with enhancements. This format is intended primarily for the archival and exchange of seismological time series data and related metadata. The goal is to allow mapping between SEED 2.4 dataless SEED volumes and this schema with as little transformation or loss of information as possible, while at the same time simplifying station metadata representation when possible. Also, content and clarification has been added where lacking in the SEED standard. When definitions and usage are under-defined the SEED manual should be referred to for clarification.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Seismology"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":7459,"fairsharing_record_id":1434,"organisation_id":1488,"relation":"maintains","created_at":"2021-09-30T09:28:38.370Z","updated_at":"2021-09-30T09:28:38.370Z","grant_id":null,"is_lead":true,"saved_state":{"id":1488,"name":"International Federation of Digital Seismograph Networks (FDSN)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1435","type":"fairsharing_records","attributes":{"created_at":"2020-12-02T10:49:41.000Z","updated_at":"2024-03-25T21:12:22.856Z","metadata":{"doi":"10.25504/FAIRsharing.15242c","name":"Minimal information for Chemosensitivity Assays","status":"deprecated","contacts":[{"contact_name":"Jing Tang","contact_email":"jing.tang@helsinki.fi"},{"contact_name":"Ziaurrehman Tanoli","contact_email":"zia.rehman@helsinki.fi","contact_orcid":null}],"homepage":"https://micha-protocol.org","citations":[],"identifier":1435,"description":"Minimal information for Chemosensitivity Assays (MICHA) is both a web tool to aid annotation of drug sensitivity screens and a guideline for defining the minimal information required to: capture critical drug sensitivity assay components, allow the FAIRification and cataloguing of drug sensitivity screen studies, and comply with the guidelines of scientific publications and preclinical drug evaluation. It is the minimal information guidelines described in this record. MICHA is composed of four main components: compounds, specimens/samples, assay protocols, and quality control and data processing methods.","abbreviation":"MICHA","support_links":[{"url":"https://micha-protocol.org/about/index","name":"About","type":"Help documentation"}],"year_creation":2020,"deprecation_date":"2024-03-25","deprecation_reason":"This resource is no longer available at the stated homepage and a new homepage cannot be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-001549","bsg-s001549"],"name":"FAIRsharing record for: Minimal information for Chemosensitivity Assays","abbreviation":"MICHA","url":"https://fairsharing.org/10.25504/FAIRsharing.15242c","doi":"10.25504/FAIRsharing.15242c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal information for Chemosensitivity Assays (MICHA) is both a web tool to aid annotation of drug sensitivity screens and a guideline for defining the minimal information required to: capture critical drug sensitivity assay components, allow the FAIRification and cataloguing of drug sensitivity screen studies, and comply with the guidelines of scientific publications and preclinical drug evaluation. It is the minimal information guidelines described in this record. MICHA is composed of four main components: compounds, specimens/samples, assay protocols, and quality control and data processing methods.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11316}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Drug Discovery","Drug Development"],"domains":["Biological sample annotation","Drug","Assay","Protocol"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":3169,"pubmed_id":null,"title":"Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments","year":2021,"url":"http://dx.doi.org/10.1093/bib/bbab350","authors":"Tanoli, Ziaurrehman; Aldahdooh, Jehad; Alam, Farhan; Wang, Yinyin; Seemab, Umair; Fratelli, Maddalena; Pavlis, Petr; Hajduch, Marian; Bietrix, Florence; Gribbon, Philip; Zaliani, Andrea; Hall, Matthew D; Shen, Min; Brimacombe, Kyle; Kulesskiy, Evgeny; Saarela, Jani; Wennerberg, Krister; Vähä-Koskela, Markus; Tang, Jing; ","journal":"Briefings in Bioinformatics","doi":"10.1093/bib/bbab350","created_at":"2021-12-21T08:52:29.950Z","updated_at":"2021-12-21T08:52:29.950Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2218,"relation":"undefined"}],"grants":[{"id":7461,"fairsharing_record_id":1435,"organisation_id":2134,"relation":"maintains","created_at":"2021-09-30T09:28:38.497Z","updated_at":"2021-09-30T09:28:38.497Z","grant_id":null,"is_lead":true,"saved_state":{"id":2134,"name":"Network Pharmacology for Precision Medicine, University of Helsinki, Helsinki, Finland","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7460,"fairsharing_record_id":1435,"organisation_id":1956,"relation":"maintains","created_at":"2021-09-30T09:28:38.409Z","updated_at":"2021-09-30T09:28:38.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7464,"fairsharing_record_id":1435,"organisation_id":1766,"relation":"maintains","created_at":"2021-09-30T09:28:38.638Z","updated_at":"2021-09-30T09:28:38.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":1766,"name":"Mario Negri Institute for Pharmacological Research (MN), Italy","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7465,"fairsharing_record_id":1435,"organisation_id":935,"relation":"associated_with","created_at":"2021-09-30T09:28:38.677Z","updated_at":"2021-12-20T16:32:55.724Z","grant_id":null,"is_lead":false,"saved_state":{"id":935,"name":"European Infrastructure for Translational Medicine (EATRIS)","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":7462,"fairsharing_record_id":1435,"organisation_id":1388,"relation":"maintains","created_at":"2021-09-30T09:28:38.564Z","updated_at":"2021-09-30T09:28:38.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":1388,"name":"Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7466,"fairsharing_record_id":1435,"organisation_id":1049,"relation":"maintains","created_at":"2021-09-30T09:28:38.707Z","updated_at":"2021-09-30T09:28:38.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":1049,"name":"Fraunhofer Institute for Molecular Biology and Applied Ecology (Fraunhofer IME), Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7467,"fairsharing_record_id":1435,"organisation_id":279,"relation":"maintains","created_at":"2021-09-30T09:28:38.732Z","updated_at":"2021-09-30T09:28:38.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":279,"name":"Biotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8663,"fairsharing_record_id":1435,"organisation_id":873,"relation":"funds","created_at":"2021-12-21T08:50:41.937Z","updated_at":"2021-12-21T08:50:41.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":7463,"fairsharing_record_id":1435,"organisation_id":1429,"relation":"maintains","created_at":"2021-09-30T09:28:38.601Z","updated_at":"2021-09-30T09:28:38.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1429,"name":"Institute of Molecular and Translational Medicine (IMTM), Palacky University Olomouc, Czech Republic","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1447","type":"fairsharing_records","attributes":{"created_at":"2020-11-19T16:31:05.000Z","updated_at":"2022-07-19T19:20:04.484Z","metadata":{"doi":"10.25504/FAIRsharing.a978c9","name":"Tab-separated values","status":"ready","contacts":[],"homepage":"http://www.iana.org/assignments/media-types/text/tab-separated-values","citations":[],"identifier":1447,"description":"A tab-separated values (TSV) file is a simple text format for storing data in a tabular structure, e.g., database table or spreadsheet data,[1] and a way of exchanging information between databases.[2] Each record in the table is one line of the text file. Each field value of a record is separated from the next by a tab character. The TSV format is thus a type of the more general delimiter-separated values format. TSV is a simple file format that is widely supported, so it is often used in data exchange to move tabular data between different computer programs that support the format. For example, a TSV file might be used to transfer information from a database program to a spreadsheet.","abbreviation":"TSV","support_links":[{"url":"http://jkorpela.fi/TSV.html","name":"General Information","type":"Help documentation"}],"year_creation":2000},"legacy_ids":["bsg-001547","bsg-s001547"],"name":"FAIRsharing record for: Tab-separated values","abbreviation":"TSV","url":"https://fairsharing.org/10.25504/FAIRsharing.a978c9","doi":"10.25504/FAIRsharing.a978c9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A tab-separated values (TSV) file is a simple text format for storing data in a tabular structure, e.g., database table or spreadsheet data,[1] and a way of exchanging information between databases.[2] Each record in the table is one line of the text file. Each field value of a record is separated from the next by a tab character. The TSV format is thus a type of the more general delimiter-separated values format. TSV is a simple file format that is widely supported, so it is often used in data exchange to move tabular data between different computer programs that support the format. For example, a TSV file might be used to transfer information from a database program to a spreadsheet.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":9681,"fairsharing_record_id":1447,"organisation_id":3601,"relation":"maintains","created_at":"2022-07-19T18:02:33.852Z","updated_at":"2022-07-19T18:02:33.852Z","grant_id":null,"is_lead":true,"saved_state":{"id":3601,"name":"Internet Assigned Numbers Authority (IANA)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1448","type":"fairsharing_records","attributes":{"created_at":"2020-12-15T14:16:03.000Z","updated_at":"2023-02-23T18:43:44.544Z","metadata":{"doi":"10.25504/FAIRsharing.707262","name":"UNBIS Thesaurus","status":"ready","contacts":[],"homepage":"https://metadata.un.org/thesaurus/?lang=en","citations":[],"identifier":1448,"description":"The UNBIS Thesaurus is a multilingual database of the controlled vocabulary used to describe UN documents and other materials in the Dag Hammarskjöld Library's collection. The UNBIS Thesaurus grows as new topics are introduced to the agenda of the Organization and evolves as the language in the UN documents shifts over time. Controlled vocabulary makes subject searches possible by identifying documents on the same concept, even as terminology changes. UNBIS Thesaurus terms are used in the UN Digital Library as well as other UN programmes, funds and regional commissions. These groups use the UNBIS Thesaurus for the description of bibliographic materials and web content. The UNBIS Thesaurus is available in the six official UN languages (Arabic, Chinese, English, French, Russian and Spanish).","abbreviation":"UNBIS Thesaurus","support_links":[{"url":"https://metadata.un.org/feedback?lang=en","name":"Feedback Form","type":"Contact form"},{"url":"https://metadata.un.org/thesaurus/about?lang=en","name":"About","type":"Help documentation"}],"year_creation":1995},"legacy_ids":["bsg-001566","bsg-s001566"],"name":"FAIRsharing record for: UNBIS Thesaurus","abbreviation":"UNBIS Thesaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.707262","doi":"10.25504/FAIRsharing.707262","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UNBIS Thesaurus is a multilingual database of the controlled vocabulary used to describe UN documents and other materials in the Dag Hammarskjöld Library's collection. The UNBIS Thesaurus grows as new topics are introduced to the agenda of the Organization and evolves as the language in the UN documents shifts over time. Controlled vocabulary makes subject searches possible by identifying documents on the same concept, even as terminology changes. UNBIS Thesaurus terms are used in the UN Digital Library as well as other UN programmes, funds and regional commissions. These groups use the UNBIS Thesaurus for the description of bibliographic materials and web content. The UNBIS Thesaurus is available in the six official UN languages (Arabic, Chinese, English, French, Russian and Spanish).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Economics","Fisheries Science","Environmental Science","Forest Management","Engineering Science","Geography","Education Science","Health Science","Global Health","Natural Science","Agriculture","Subject Agnostic","Political Science"],"domains":["Bibliography","Transport"],"taxonomies":["All"],"user_defined_tags":["Employment","Humanitarian Studies","Trade"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"UNBIS Thesaurus Terms and Conditions of Use","licence_id":815,"licence_url":"https://research.un.org/en/thesaurus/downloads","link_id":1657,"relation":"undefined"},{"licence_name":"United Nations websites Terms and conditions of use","licence_id":821,"licence_url":"https://www.un.org/en/about-us/terms-of-use","link_id":1660,"relation":"undefined"}],"grants":[{"id":7494,"fairsharing_record_id":1448,"organisation_id":2923,"relation":"maintains","created_at":"2021-09-30T09:28:39.654Z","updated_at":"2021-09-30T09:28:39.654Z","grant_id":null,"is_lead":true,"saved_state":{"id":2923,"name":"United Nations Dag Hammarskjöld Library, New York, NY, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1449","type":"fairsharing_records","attributes":{"created_at":"2021-01-09T15:35:54.000Z","updated_at":"2022-07-20T11:03:39.426Z","metadata":{"doi":"10.25504/FAIRsharing.7dad4e","name":"Newline Delimited JSON","status":"ready","homepage":"http://ndjson.org/","identifier":1449,"description":"Newline Delimited JSON (NDJSON) is a format for storing or streaming structured data that can be processed one record at a time. It works well with unix-style text processing tools and shell pipelines, and is a suitable format for log files. It's also a flexible format for passing messages between cooperating processes.","abbreviation":"NDJSON","support_links":[{"url":"https://github.com/ndjson/ndjson-spec/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2013},"legacy_ids":["bsg-001564","bsg-s001564"],"name":"FAIRsharing record for: Newline Delimited JSON","abbreviation":"NDJSON","url":"https://fairsharing.org/10.25504/FAIRsharing.7dad4e","doi":"10.25504/FAIRsharing.7dad4e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Newline Delimited JSON (NDJSON) is a format for storing or streaming structured data that can be processed one record at a time. It works well with unix-style text processing tools and shell pipelines, and is a suitable format for log files. It's also a flexible format for passing messages between cooperating processes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science"],"domains":["Data model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1451","type":"fairsharing_records","attributes":{"created_at":"2019-06-07T08:07:49.000Z","updated_at":"2021-11-24T13:14:31.186Z","metadata":{"doi":"10.25504/FAIRsharing.xVAQX9","name":"ERN common data elements","status":"ready","contacts":[{"contact_name":"Annika Jacobsen","contact_email":"a.jacobsen@lumc.nl","contact_orcid":"0000-0003-4818-2360"}],"homepage":"https://github.com/ejp-rd-vp/CDE-semantic-model","identifier":1451,"description":"Semantic data model of the set of common data elements for rare disease registration. To make rare disease registry data Interoperable (the 'I' in FAIR). Version 2.0. License CC0. Here, we present a semantic data model of the set of common data elements for rare diseases registration recommended by the European commission joint research centre. There are 16 data elements: ‘Pseudonym’, ‘Date of Birth’, ‘Sex’, ‘Patient’s status’, ‘Date of death’, ‘First contact with specialised centre’, ‘Age at onset’, Age at diagnosis’, ‘Diagnosis of the rare disease’, ‘Genetic diagnosis’, ‘Undiagnosed case’, ‘Agreement to be contacted for research purposes’, ‘Consent to the reuse of data’, ’Biological sample’, ‘Link to a biobank’, ‘Classification of functioning/disability’. The semantic data model is presented in 11 modules describing the different 16 data elements. Central to each module is the 'person'. Each module has in addition different characteristics assigned to the person.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001383","bsg-s001383"],"name":"FAIRsharing record for: ERN common data elements","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xVAQX9","doi":"10.25504/FAIRsharing.xVAQX9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Semantic data model of the set of common data elements for rare disease registration. To make rare disease registry data Interoperable (the 'I' in FAIR). Version 2.0. License CC0. Here, we present a semantic data model of the set of common data elements for rare diseases registration recommended by the European commission joint research centre. There are 16 data elements: ‘Pseudonym’, ‘Date of Birth’, ‘Sex’, ‘Patient’s status’, ‘Date of death’, ‘First contact with specialised centre’, ‘Age at onset’, Age at diagnosis’, ‘Diagnosis of the rare disease’, ‘Genetic diagnosis’, ‘Undiagnosed case’, ‘Agreement to be contacted for research purposes’, ‘Consent to the reuse of data’, ’Biological sample’, ‘Link to a biobank’, ‘Classification of functioning/disability’. The semantic data model is presented in 11 modules describing the different 16 data elements. Central to each module is the 'person'. Each module has in addition different characteristics assigned to the person.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12548}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biomedical Science","Medical Informatics"],"domains":["Biobank","Patient care","Rare disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":7495,"fairsharing_record_id":1451,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:28:39.694Z","updated_at":"2021-09-30T09:28:39.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1441","type":"fairsharing_records","attributes":{"created_at":"2021-04-02T00:07:07.000Z","updated_at":"2022-07-20T12:53:50.515Z","metadata":{"doi":"10.25504/FAIRsharing.IUZaXe","name":"ASLS - Land Surface classifiers","status":"ready","contacts":[{"contact_name":"Andrew Biggs","contact_email":"andrew.biggs@resources.qld.gov.au"}],"homepage":"https://github.com/ANZSoilData/def-au-asls-land-surface","citations":[],"identifier":1441,"description":"Machine-readable representation of the classifiers described in chapter 7 Land Surface, by R.C. McDonald, R.F. Isbell and J.G. Speight, in Australian soil and land survey field handbook (3rd edn). Land surface is concerned mainly with surface phenomena affecting land use and soil development that have traditionally been noted at the point of soil observation. The data was converted from the print representation to this linked-data form by Linda Gregory and Simon J D Cox.","abbreviation":"land-surface","support_links":[],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LAND-SURFACE","name":"LAND-SURFACE","portal":"BioPortal"}]},"legacy_ids":["bsg-001605","bsg-s001605"],"name":"FAIRsharing record for: ASLS - Land Surface classifiers","abbreviation":"land-surface","url":"https://fairsharing.org/10.25504/FAIRsharing.IUZaXe","doi":"10.25504/FAIRsharing.IUZaXe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Machine-readable representation of the classifiers described in chapter 7 Land Surface, by R.C. McDonald, R.F. Isbell and J.G. Speight, in Australian soil and land survey field handbook (3rd edn). Land surface is concerned mainly with surface phenomena affecting land use and soil development that have traditionally been noted at the point of soil observation. The data was converted from the print representation to this linked-data form by Linda Gregory and Simon J D Cox.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Soil Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["soil carbon","Soil pH","Soil texture"],"countries":["Australia"],"publications":[{"id":2514,"pubmed_id":null,"title":"Australian Soil and Land Survey Handbook (Third Edition)","year":2009,"url":"https://www.publish.csiro.au/book/5230","authors":"National Committee on Soil and Terrain","journal":"CSIRO Publishing","doi":null,"created_at":"2021-09-30T08:27:08.484Z","updated_at":"2021-09-30T08:27:08.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Australia (CC BY 3.0 AU)","licence_id":162,"licence_url":"https://creativecommons.org/licenses/by/3.0/au/","link_id":2721,"relation":"applies_to_content"}],"grants":[{"id":7483,"fairsharing_record_id":1441,"organisation_id":1980,"relation":"maintains","created_at":"2021-09-30T09:28:39.232Z","updated_at":"2021-09-30T09:28:39.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1980,"name":"National Committee on Soil and Terrain","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1442","type":"fairsharing_records","attributes":{"created_at":"2021-02-26T10:05:07.000Z","updated_at":"2024-01-26T11:52:21.165Z","metadata":{"doi":"10.25504/FAIRsharing.wUoZKE","name":"Research Object Crate","status":"ready","contacts":[{"contact_name":"Stian Soiland-Reyes","contact_email":"soiland-reyes@manchester.ac.uk","contact_orcid":"0000-0001-9842-9718"}],"homepage":"https://w3id.org/ro/crate","citations":[{"doi":"10.3233/DS-210053","pubmed_id":null,"publication_id":3198}],"identifier":1442,"description":"RO-Crate is a community effort to establish a lightweight approach to packaging research data with their metadata. It is based on schema.org annotations in JSON-LD, and aims to make best-practice in formal metadata description accessible and practical for use in a wide variety of situations. An RO-Crate is a structured archive of all the items that contributed to the research outcome, including their identifiers, provenance, relations and annotations.","abbreviation":"RO-Crate","support_links":[{"url":"https://github.com/ResearchObject/ro-crate/issues/new/choose","name":"RO-Crate GitHub issues","type":"Github"},{"url":"https://w3id.org/ro/crate/1.1","name":"RO-Crate Metadata Specification 1.1","type":"Help documentation"}],"year_creation":2019,"associated_tools":[{"url":"https://arkisto-platform.github.io/describo/","name":"Describo 0.13.0"},{"url":"https://www.npmjs.com/package/ro-crate","name":"ro-crate-js 2.0.7"},{"url":"https://pypi.org/project/rocrate/","name":"ro-crate-py 0.5.3"},{"url":"https://arkisto-platform.github.io/describo-online/","name":"Describo Online"},{"url":"https://arkisto-platform.github.io/","name":"Arkisto Platform"}]},"legacy_ids":["bsg-001594","bsg-s001594"],"name":"FAIRsharing record for: Research Object Crate","abbreviation":"RO-Crate","url":"https://fairsharing.org/10.25504/FAIRsharing.wUoZKE","doi":"10.25504/FAIRsharing.wUoZKE","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RO-Crate is a community effort to establish a lightweight approach to packaging research data with their metadata. It is based on schema.org annotations in JSON-LD, and aims to make best-practice in formal metadata description accessible and practical for use in a wide variety of situations. An RO-Crate is a structured archive of all the items that contributed to the research outcome, including their identifiers, provenance, relations and annotations.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13911}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Omics"],"domains":["Resource metadata"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","packaging"],"countries":["Australia","Belgium","Germany","Ireland","Netherlands","Poland","Spain","United Kingdom","United States"],"publications":[{"id":1192,"pubmed_id":null,"title":"A lightweight approach to research object data packaging","year":2019,"url":"http://doi.org/10.5281/zenodo.3250687","authors":"Eoghan Ó Carragáin; Carole Goble; Peter Sefton; Stian Soiland-Reyes","journal":"Bioinformatics Open Source Conference (BOSC2019)","doi":"10.5281/zenodo.3250687","created_at":"2021-09-30T08:24:32.525Z","updated_at":"2021-09-30T08:24:32.525Z"},{"id":3198,"pubmed_id":null,"title":"Packaging research artefacts with RO-Crate","year":2022,"url":"https://doi.org/10.3233/DS-210053","authors":"Stian Soiland-Reyes, Peter Sefton, Mercè Crosas, Leyla Jael Castro, Frederik Coppens, José M. Fernández, Daniel Garijo, Björn Grüning, Marco La Rosa, Simone Leo, Eoghan Ó Carragáin, Marc Portier, Ana Trisovic, RO-Crate Community, Paul Groth, Carole Goble ","journal":"Data Science","doi":"10.3233/DS-210053","created_at":"2022-01-27T11:02:24.942Z","updated_at":"2022-01-27T11:02:24.942Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2408,"relation":"undefined"}],"grants":[{"id":7484,"fairsharing_record_id":1442,"organisation_id":3135,"relation":"undefined","created_at":"2021-09-30T09:28:39.257Z","updated_at":"2021-09-30T09:28:39.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":3135,"name":"University of Technology Sydney, Australia","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":7485,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:28:39.282Z","updated_at":"2021-09-30T09:28:57.443Z","grant_id":30,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAEDI-2018-1 823830","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8098,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:30:56.947Z","updated_at":"2021-09-30T09:30:56.994Z","grant_id":948,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAIA-2017-1 730976","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8260,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:31:48.307Z","updated_at":"2021-09-30T09:31:48.362Z","grant_id":1334,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRADEV-2019-2 871118","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10021,"fairsharing_record_id":1442,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:39.017Z","updated_at":"2022-10-13T09:43:39.017Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":7487,"fairsharing_record_id":1442,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:28:39.364Z","updated_at":"2021-09-30T09:28:39.364Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7486,"fairsharing_record_id":1442,"organisation_id":150,"relation":"funds","created_at":"2021-09-30T09:28:39.326Z","updated_at":"2021-09-30T09:29:19.262Z","grant_id":194,"is_lead":false,"saved_state":{"id":150,"name":"Australian Research Data Commons (ARDC), Melbourne, Australia","grant":"FAIR Simple Scalable Static Research Data Repository","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7956,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:30:04.152Z","updated_at":"2021-09-30T09:30:04.204Z","grant_id":536,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAEOSC-2018-2 824087","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8181,"fairsharing_record_id":1442,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:31:22.173Z","updated_at":"2021-09-30T09:31:22.223Z","grant_id":1138,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"H2020-INFRAIA-2018-1 823827","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8779,"fairsharing_record_id":1442,"organisation_id":3374,"relation":"funds","created_at":"2022-02-03T10:51:23.253Z","updated_at":"2022-02-03T10:51:23.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":3374,"name":"European Commission Horizon Europe","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBDZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--50a4e92f705e6ba3ad0568e9e7b07c65a1191ea3/researchobject-rocrate.png?disposition=inline","exhaustive_licences":false}},{"id":"1443","type":"fairsharing_records","attributes":{"created_at":"2021-06-29T14:47:39.000Z","updated_at":"2023-03-15T08:08:11.434Z","metadata":{"doi":"10.25504/FAIRsharing.cb1adb","name":"Portable reduced-precision binary format for trajectories produced by GROMACS package.","status":"ready","contacts":[{"contact_name":"Adam Hospital","contact_email":"adam.hospital@irbbarcelona.org","contact_orcid":"0000-0002-8291-8071"}],"homepage":"https://manual.gromacs.org/documentation/2021/reference-manual/file-formats.html#xtc","citations":[],"identifier":1443,"description":"The XTC format is a portable binary format for trajectories produced by GROMACS package. It uses the External Data Representation (xdr) routines for writing and reading data which were created for the Unix Network File System (NFS). Trajectories are written in XTC files using a reduced precision (lossy) algorithm which works multiplying the coordinates by a scaling factor (typically 1000), so converting them to pm (GROMACS standard distance unit is nm). This allows an integer rounding of the values. Several other tricks are performed, such as making use of atom proximity information: atoms close in sequence are usually close in space (e.g. water molecules). That makes XTC format the most efficient in terms of disk usage, in most cases reducing by a factor of 2 the size of any other binary trajectory format.","abbreviation":"xtc","support_links":[{"url":"https://manual.gromacs.org/documentation/2021/reference-manual/file-formats.html#xtc","name":"GROMACS reference manual","type":"Help documentation"}],"year_creation":1995,"associated_tools":[{"url":"https://www.gromacs.org/","name":"GROMACS 2021"}]},"legacy_ids":["bsg-001620","bsg-s001620"],"name":"FAIRsharing record for: Portable reduced-precision binary format for trajectories produced by GROMACS package.","abbreviation":"xtc","url":"https://fairsharing.org/10.25504/FAIRsharing.cb1adb","doi":"10.25504/FAIRsharing.cb1adb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The XTC format is a portable binary format for trajectories produced by GROMACS package. It uses the External Data Representation (xdr) routines for writing and reading data which were created for the Unix Network File System (NFS). Trajectories are written in XTC files using a reduced precision (lossy) algorithm which works multiplying the coordinates by a scaling factor (typically 1000), so converting them to pm (GROMACS standard distance unit is nm). This allows an integer rounding of the values. Several other tricks are performed, such as making use of atom proximity information: atoms close in sequence are usually close in space (e.g. water molecules). That makes XTC format the most efficient in terms of disk usage, in most cases reducing by a factor of 2 the size of any other binary trajectory format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Sweden"],"publications":[{"id":2540,"pubmed_id":null,"title":"Methods and Techniques in Computational Chemistry: METECC-95","year":1995,"url":"https://www.semanticscholar.org/paper/Methods-and-techniques-in-computational-chemistry-%3A-Clementi-Corongiu/40385d32372c7c8af5dd4fe1ee442a47bc8ad87d","authors":"D. Green, K. Meacham, M. Surridge, F. van Hoesel and J. Berendsen","journal":"Methods and Techniques in Computational Chemistry: METECC-95","doi":null,"created_at":"2021-09-30T08:27:11.512Z","updated_at":"2021-09-30T08:27:11.512Z"}],"licence_links":[],"grants":[{"id":7488,"fairsharing_record_id":1443,"organisation_id":230,"relation":"maintains","created_at":"2021-09-30T09:28:39.405Z","updated_at":"2021-09-30T09:28:39.405Z","grant_id":null,"is_lead":true,"saved_state":{"id":230,"name":"BioExcel CoE","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7489,"fairsharing_record_id":1443,"organisation_id":913,"relation":"funds","created_at":"2021-09-30T09:28:39.443Z","updated_at":"2021-09-30T09:32:30.296Z","grant_id":1650,"is_lead":false,"saved_state":{"id":913,"name":"European Commision","grant":"675728","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1444","type":"fairsharing_records","attributes":{"created_at":"2020-11-13T14:28:10.000Z","updated_at":"2022-07-20T09:17:05.454Z","metadata":{"doi":"10.25504/FAIRsharing.683eef","name":"QuakeML","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"quakeml@sed.ethz.ch"}],"homepage":"https://quake.ethz.ch/quakeml","citations":[],"identifier":1444,"description":"QuakeML is a flexible, extensible and modular XML representation of seismological data which is intended to cover a broad range of fields of application in modern seismology. QuakeML is an open standard and is developed by a distributed team in a transparent collaborative manner. The flexible approach of QuakeML allows further extensions of the standard in order to represent waveform data, macroseismic information, probability density functions, slip distributions, shake maps, and others.","abbreviation":null,"support_links":[{"url":"https://quake.ethz.ch/quakeml/Documents","name":"About QuakeML 1.1/1.2","type":"Help documentation"},{"url":"https://quake.ethz.ch/quakeml/QuakeML2.0","name":"About QuakeML 2.0","type":"Help documentation"},{"url":"https://quake.ethz.ch/quakeml/Development","name":"QuakeML Development","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/QuakeML","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2007},"legacy_ids":["bsg-001539","bsg-s001539"],"name":"FAIRsharing record for: QuakeML","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.683eef","doi":"10.25504/FAIRsharing.683eef","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: QuakeML is a flexible, extensible and modular XML representation of seismological data which is intended to cover a broad range of fields of application in modern seismology. QuakeML is an open standard and is developed by a distributed team in a transparent collaborative manner. The flexible approach of QuakeML allows further extensions of the standard in order to represent waveform data, macroseismic information, probability density functions, slip distributions, shake maps, and others.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Earthquake","Seismology"],"countries":["Worldwide"],"publications":[{"id":3068,"pubmed_id":null,"title":"QuakeML: status of the XML-based seismological data exchange format","year":2011,"url":"http://dx.doi.org/10.4401%2Fag-4874","authors":"Danijel Schorlemmer, Fabian Euchner, Philipp Kästli, Joachim Saul","journal":"Annals of Geophysics","doi":null,"created_at":"2021-09-30T08:28:18.084Z","updated_at":"2021-09-30T08:28:18.084Z"}],"licence_links":[],"grants":[{"id":7491,"fairsharing_record_id":1444,"organisation_id":2688,"relation":"maintains","created_at":"2021-09-30T09:28:39.522Z","updated_at":"2021-09-30T09:28:39.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":2688,"name":"Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7490,"fairsharing_record_id":1444,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:28:39.480Z","updated_at":"2021-09-30T09:31:08.578Z","grant_id":1036,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"Network of Research Infrastructures for European Seismology (NERIES)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa1VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b39cda6ad53b3ef2070b52a6daad27d5b1bc7e0f/quakeml.logo.528x63.png?disposition=inline","exhaustive_licences":false}},{"id":"1455","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2022-02-18T11:03:46.681Z","metadata":{"doi":"10.25504/FAIRsharing.bxc508","name":"Ontology for Biobanking","status":"ready","contacts":[{"contact_name":"Jie Zheng","contact_email":"jiezheng@pennmedicine.upenn.edu","contact_orcid":null}],"homepage":"https://github.com/biobanking/biobanking/wiki","citations":[{"doi":"10.1186/s13326-016-0068-y","pubmed_id":null,"publication_id":3150}],"identifier":1455,"description":"The ontology for Biobanking (OBIB) is an ontology built for annotation and modeling of biobank repository and biobanking administration. It is developed based on subset of Ontology for Biomedical Investigations (OBI) using Basic Formal Ontology (BFO) as top ontology and following OBO Foundry principles. The first version of the ontology is merged of two existing biobank related ontologies, OMIABIS and biobank ontology.","abbreviation":"OBIB","support_links":[{"url":"MBrochhausen@uams.edu","name":"Mathias Brochhausen","type":"Support email"},{"url":"stoeckrt@upenn.edu","name":"Chris Stoeckert","type":"Support email"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OBIB","name":"OBIB","portal":"BioPortal"}]},"legacy_ids":["bsg-000823","bsg-s000823"],"name":"FAIRsharing record for: Ontology for Biobanking","abbreviation":"OBIB","url":"https://fairsharing.org/10.25504/FAIRsharing.bxc508","doi":"10.25504/FAIRsharing.bxc508","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ontology for Biobanking (OBIB) is an ontology built for annotation and modeling of biobank repository and biobanking administration. It is developed based on subset of Ontology for Biomedical Investigations (OBI) using Basic Formal Ontology (BFO) as top ontology and following OBO Foundry principles. The first version of the ontology is merged of two existing biobank related ontologies, OMIABIS and biobank ontology.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17645},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14548}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science"],"domains":["Biobank"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3150,"pubmed_id":null,"title":"OBIB-a novel ontology for biobanking","year":2016,"url":"http://dx.doi.org/10.1186/s13326-016-0068-y","authors":"Brochhausen, Mathias; Zheng, Jie; Birtwell, David; Williams, Heather; Masci, Anna Maria; Ellis, Helena Judge; Stoeckert, Christian J.; ","journal":"J Biomed Semant","doi":"10.1186/s13326-016-0068-y","created_at":"2021-12-06T19:35:59.205Z","updated_at":"2021-12-06T19:35:59.205Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2529,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1456","type":"fairsharing_records","attributes":{"created_at":"2020-02-10T13:07:56.000Z","updated_at":"2022-07-20T12:54:04.803Z","metadata":{"doi":"10.25504/FAIRsharing.o67X7e","name":"Metadata Object Description Schema","status":"ready","contacts":[{"contact_name":"Network Development and MARC Standards Office","contact_email":"ndmso@loc.gov"}],"homepage":"http://www.loc.gov/standards/mods/","identifier":1456,"description":"Metadata Object Description Schema (MODS) is a schema for a bibliographic element set that may be used for a variety of purposes, and particularly for library applications. As an XML schema it is intended to be able to carry selected data from existing MARC 21 records as well as to enable the creation of original resource description records. MODS is intended to complement other metadata formats. For some applications, particularly those that have used MARC records, there will be advantages over other metadata schemes. Some advantages are: the element set is richer than Dublin Core; the element set is more compatible with library data than ONIX; the schema is more end user oriented than the full MARCXML schema; the element set is simpler than the full MARC format. Please note that round-tripping between MARC 21 and MODS is not guaranteed.","abbreviation":"MODS","support_links":[{"url":"mods@listserv.loc.gov","name":"MODS Listserv","type":"Support email"},{"url":"http://www.loc.gov/standards/mods/userguide/index.html","name":"User Guidelines","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/design-principles-mods-mads.html","name":"Design Principles","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/mods-overview.html","name":"About MODS","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/mods-resources.html","name":"MODS Resources","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/registry.php","name":"MODS Implementation Registry","type":"Help documentation"},{"url":"http://www.loc.gov/standards/mods/mods-conversions.html","name":"Mappings and Conversions","type":"Help documentation"}],"year_creation":2002,"associated_tools":[{"url":"http://www.loc.gov/standards/mods/tools_for_mods.php","name":"MODS Tools"}]},"legacy_ids":["bsg-001437","bsg-s001437"],"name":"FAIRsharing record for: Metadata Object Description Schema","abbreviation":"MODS","url":"https://fairsharing.org/10.25504/FAIRsharing.o67X7e","doi":"10.25504/FAIRsharing.o67X7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metadata Object Description Schema (MODS) is a schema for a bibliographic element set that may be used for a variety of purposes, and particularly for library applications. As an XML schema it is intended to be able to carry selected data from existing MARC 21 records as well as to enable the creation of original resource description records. MODS is intended to complement other metadata formats. For some applications, particularly those that have used MARC records, there will be advantages over other metadata schemes. Some advantages are: the element set is richer than Dublin Core; the element set is more compatible with library data than ONIX; the schema is more end user oriented than the full MARCXML schema; the element set is simpler than the full MARC format. Please note that round-tripping between MARC 21 and MODS is not guaranteed.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13366}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Subject Agnostic"],"domains":["Citation","Bibliography","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":1978,"relation":"undefined"}],"grants":[{"id":7499,"fairsharing_record_id":1456,"organisation_id":1885,"relation":"maintains","created_at":"2021-09-30T09:28:39.843Z","updated_at":"2021-09-30T09:28:39.843Z","grant_id":null,"is_lead":true,"saved_state":{"id":1885,"name":"MODS Editorial Committee","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":7500,"fairsharing_record_id":1456,"organisation_id":2132,"relation":"maintains","created_at":"2021-09-30T09:28:39.876Z","updated_at":"2021-09-30T09:28:39.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":2132,"name":"Network Development and MARC Standards Office","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1457","type":"fairsharing_records","attributes":{"created_at":"2020-02-03T17:56:31.000Z","updated_at":"2024-03-21T13:59:40.054Z","metadata":{"doi":"10.25504/FAIRsharing.lWbenx","name":"Reference list of Metabolite names","status":"ready","contacts":[{"contact_name":"Christine Kirkpatrick","contact_email":"christine@sdsc.edu","contact_orcid":"0000-0002-4451-8042"}],"homepage":"https://www.metabolomicsworkbench.org/databases/refmet/index.php","citations":[],"identifier":1457,"description":"RefMet provides a standardized reference nomenclature for both discrete metabolite structures and metabolite species identified by spectroscopic techniques in metabolomics experiments. This is an essential prerequisite for the ability to compare and contrast metabolite data across different experiments and studies. Over 200,000 names from a set of over 1,100 MS and NMR studies on the Metabolomics Workbench has been used to generate a highly curated analytical chemistry-centric list of common names for metabolite structures and isobaric species. Additionally, the vast majority of these names have been linked to a metabolite classification system using a combination of LIPID MAPS and ClassyFire classification methods. A name-conversion user interface is provided where users can submit a list of metabolite names and map them to the corresponding RefMet names. New metabolites are constantly being added to RefMet, however very new metabolite names generated by metabolomics experiments may not currently map to RefMet identifiers. Nevertheless, RefMet has the ability to greatly increase the data-sharing potential of metabolomics experiments and facilitate \"meta-analysis\" and systems biology objectives for the majority of commonly encountered metabolite species.","abbreviation":"RefMet","support_links":[{"url":"https://www.metabolomicsworkbench.org/databases/refmet/refmet_help.php","name":"RefMet Help","type":"Help documentation"}],"associated_tools":[{"url":"https://www.metabolomicsworkbench.org/databases/refmet/name_to_refmet_form.php","name":"Convert to RefMet Nomenclature"},{"url":"https://www.metabolomicsworkbench.org/databases/refmet/mobile_apps.php","name":"Mobile Reference of Metabolite Names for iPhone 1"}]},"legacy_ids":["bsg-001445","bsg-s001445"],"name":"FAIRsharing record for: Reference list of Metabolite names","abbreviation":"RefMet","url":"https://fairsharing.org/10.25504/FAIRsharing.lWbenx","doi":"10.25504/FAIRsharing.lWbenx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RefMet provides a standardized reference nomenclature for both discrete metabolite structures and metabolite species identified by spectroscopic techniques in metabolomics experiments. This is an essential prerequisite for the ability to compare and contrast metabolite data across different experiments and studies. Over 200,000 names from a set of over 1,100 MS and NMR studies on the Metabolomics Workbench has been used to generate a highly curated analytical chemistry-centric list of common names for metabolite structures and isobaric species. Additionally, the vast majority of these names have been linked to a metabolite classification system using a combination of LIPID MAPS and ClassyFire classification methods. A name-conversion user interface is provided where users can submit a list of metabolite names and map them to the corresponding RefMet names. New metabolites are constantly being added to RefMet, however very new metabolite names generated by metabolomics experiments may not currently map to RefMet identifiers. Nevertheless, RefMet has the ability to greatly increase the data-sharing potential of metabolomics experiments and facilitate \"meta-analysis\" and systems biology objectives for the majority of commonly encountered metabolite species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Metabolomics","Systems Biology"],"domains":["Metabolite","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Metabolomics Workbench Terms of Use","licence_id":506,"licence_url":"https://www.metabolomicsworkbench.org/about/termsofuse.php","link_id":21,"relation":"undefined"}],"grants":[{"id":7502,"fairsharing_record_id":1457,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:28:39.925Z","updated_at":"2021-09-30T09:28:39.925Z","grant_id":null,"is_lead":true,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":10044,"fairsharing_record_id":1457,"organisation_id":359,"relation":"collaborates_on","created_at":"2022-10-13T09:43:42.452Z","updated_at":"2022-10-13T09:43:42.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":11545,"fairsharing_record_id":1457,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:13.611Z","updated_at":"2024-03-21T13:58:13.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11614,"fairsharing_record_id":1457,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:40.020Z","updated_at":"2024-03-21T13:59:40.020Z","grant_id":null,"is_lead":false,"saved_state":{"id":3309,"name":"Wishart Research Group, University of Alberta, Edmonton, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1452","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:22:43.333Z","metadata":{"doi":"10.25504/FAIRsharing.th72sy","name":"IBP Wheat Plant Anatomy and Development Ontology","status":"deprecated","contacts":[{"contact_name":"Rosemary Shrestha","contact_email":"r.shrestha2@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_121:ROOT","citations":[],"identifier":1452,"description":"The IBP Wheat Plant Anatomy and Development Ontology defines growth stages of wheat and is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information. Although this ontology seems to have a stable status on its homepage, it is listed as Retired in AgroPortal. Therefore we have marked its record status as Uncertain. Please get in touch if you have information regarding the current status of this resource.","abbreviation":"CO_121","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Video Tutorials","type":"Help documentation"}],"year_creation":2015,"deprecation_date":"2022-01-26","deprecation_reason":"This resource no longer exists within the Crop Ontology group of terminologies. Please let us know if you have any information regarding this resource."},"legacy_ids":["bsg-001098","bsg-s001098"],"name":"FAIRsharing record for: IBP Wheat Plant Anatomy and Development Ontology","abbreviation":"CO_121","url":"https://fairsharing.org/10.25504/FAIRsharing.th72sy","doi":"10.25504/FAIRsharing.th72sy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IBP Wheat Plant Anatomy and Development Ontology defines growth stages of wheat and is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information. Although this ontology seems to have a stable status on its homepage, it is listed as Retired in AgroPortal. Therefore we have marked its record status as Uncertain. Please get in touch if you have information regarding the current status of this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Plant Anatomy","Plant Cell Biology"],"domains":["Food"],"taxonomies":["Triticum aestivum"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1840,"relation":"undefined"}],"grants":[{"id":7496,"fairsharing_record_id":1452,"organisation_id":1458,"relation":"maintains","created_at":"2021-09-30T09:28:39.726Z","updated_at":"2021-09-30T09:28:39.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":1458,"name":"Integrated Breeding Platform (IBP), Mexico, Mexico","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":7497,"fairsharing_record_id":1452,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:28:39.764Z","updated_at":"2021-09-30T09:28:39.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1453","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2023-03-24T10:00:49.677Z","metadata":{"doi":"10.25504/FAIRsharing.bg7bb6","name":"The Oral Health and Disease Ontology","status":"ready","contacts":[{"contact_name":"Bill Duncan","contact_email":"wdduncan@gmail.com"}],"homepage":"https://github.com/oral-health-and-disease-ontologies/ohd-ontology","citations":[],"identifier":1453,"description":"The Oral Health and Disease Ontology is intended as a BFO and OBO Foundry compliant ontology for the oral health domain. It is currently used to represent the content of dental practice health records and is intended to be further developed for use in translation medicine. It demonstrates a principled split between billing codes as information entities and what the codes are about, such as dental procedures, materials, and patients. OHD is structured using BFO uses terms from OGMS, OBI, IAO and FMA. In addition it uses terms from CARO, OMRSE, NCBITaxon, and a subset of terms from the Current Dental Terminology (CDT) OHD is in early development and subject to change without notice.","abbreviation":"OHD","support_links":[{"url":"alanruttenberg@gmail.com","name":"Alan Ruttenberg","type":"Support email"},{"url":"schleyer@regenstrief.org","type":"Support email"},{"url":"https://player.vimeo.com/video/50843791?title=0\u0026byline=0\u0026portrait=0","type":"Video"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OHD","name":"OHD","portal":"BioPortal"},{"url":"https://ontobee.org/ontology/OHD","name":"Ontobee: OHD","portal":"Other"}]},"legacy_ids":["bsg-000834","bsg-s000834"],"name":"FAIRsharing record for: The Oral Health and Disease Ontology","abbreviation":"OHD","url":"https://fairsharing.org/10.25504/FAIRsharing.bg7bb6","doi":"10.25504/FAIRsharing.bg7bb6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oral Health and Disease Ontology is intended as a BFO and OBO Foundry compliant ontology for the oral health domain. It is currently used to represent the content of dental practice health records and is intended to be further developed for use in translation medicine. It demonstrates a principled split between billing codes as information entities and what the codes are about, such as dental procedures, materials, and patients. OHD is structured using BFO uses terms from OGMS, OBI, IAO and FMA. In addition it uses terms from CARO, OMRSE, NCBITaxon, and a subset of terms from the Current Dental Terminology (CDT) OHD is in early development and subject to change without notice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Dentistry","Oral Surgery"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[],"grants":[{"id":10452,"fairsharing_record_id":1453,"organisation_id":2270,"relation":"associated_with","created_at":"2023-03-24T09:58:07.035Z","updated_at":"2023-03-24T09:58:07.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10451,"fairsharing_record_id":1453,"organisation_id":3929,"relation":"associated_with","created_at":"2023-03-24T09:58:07.034Z","updated_at":"2023-03-24T09:58:07.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":3929,"name":"University at Buffalo School of Dental Medicine","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10453,"fairsharing_record_id":1453,"organisation_id":3930,"relation":"associated_with","created_at":"2023-03-24T09:58:07.035Z","updated_at":"2023-03-24T09:58:07.035Z","grant_id":null,"is_lead":false,"saved_state":{"id":3930,"name":"University of Pittsburg School of Dental Medicine","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10454,"fairsharing_record_id":1453,"organisation_id":2414,"relation":"undefined","created_at":"2023-03-24T09:58:07.076Z","updated_at":"2023-03-24T09:58:07.076Z","grant_id":null,"is_lead":false,"saved_state":{"id":2414,"name":"Regenstrief Institute, Inc, Indianapolis, Indiana, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1454","type":"fairsharing_records","attributes":{"created_at":"2020-09-15T11:12:34.000Z","updated_at":"2024-06-11T09:38:54.809Z","metadata":{"doi":"10.25504/FAIRsharing.Mghsr2","name":"Global Change Master Directory Keywords","status":"ready","contacts":[{"contact_name":"GCMD User Support","contact_email":"support@earthdata.nasa.gov"}],"homepage":"https://earthdata.nasa.gov/earth-observation-data/find-data/gcmd/gcmd-keywords","citations":[],"identifier":1454,"description":"Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth Science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables. Initiated over twenty years ago, GCMD Keywords are periodically analyzed for relevancy and will continue to be refined and expanded in response to user needs.","abbreviation":"GCMD Keywords","support_links":[{"url":"https://wiki.earthdata.nasa.gov/display/CMR/Keyword+FAQ","name":"GCMD FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords","name":"GCMD Forum","type":"Forum"},{"url":"https://wiki.earthdata.nasa.gov/display/gcmdkey/Keyword+Management+Service+Application+Program+Interface","name":"RESTful API Documentation","type":"Help documentation"},{"url":"https://cdn.earthdata.nasa.gov/conduit/upload/5182/KeywordsCommunityGuide_Baseline_v1_SIGNED_FINAL.pdf","name":"Governance and Community Guide","type":"Help documentation"},{"url":"https://idn.ceos.org/mapping.html","name":"Mapping GCMD to CEOS MIM","type":"Help documentation"}]},"legacy_ids":["bsg-001523","bsg-s001523"],"name":"FAIRsharing record for: Global Change Master Directory Keywords","abbreviation":"GCMD Keywords","url":"https://fairsharing.org/10.25504/FAIRsharing.Mghsr2","doi":"10.25504/FAIRsharing.Mghsr2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth Science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables. Initiated over twenty years ago, GCMD Keywords are periodically analyzed for relevancy and will continue to be refined and expanded in response to user needs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":["Geographical location","Device"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA's Data and Information Policy","licence_id":539,"licence_url":"https://earthdata.nasa.gov/earth-science-data-systems-program/policies/data-information-policy","link_id":607,"relation":"undefined"},{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":608,"relation":"applies_to_content"}],"grants":[{"id":7498,"fairsharing_record_id":1454,"organisation_id":809,"relation":"maintains","created_at":"2021-09-30T09:28:39.806Z","updated_at":"2021-09-30T09:28:39.806Z","grant_id":null,"is_lead":true,"saved_state":{"id":809,"name":"Earth Science Data Systems (ESDS) Program, Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1445","type":"fairsharing_records","attributes":{"created_at":"2018-09-25T13:58:43.000Z","updated_at":"2021-11-24T13:16:10.115Z","metadata":{"name":"Federal Geographic Data Committee: Content Standard for Digital Geospatial Metadata","status":"deprecated","contacts":[{"contact_email":"fgdc@fgdc.gov"}],"homepage":"https://www.fgdc.gov/metadata/csdgm-standard","identifier":1445,"description":"Content Standard for Digital Geospatial Metadata (CSDGM), Vers. 2 (FGDC-STD-001-1998) is the current version of this FGDC authored and endorsed standard. The objectives of the standard are to provide a common set of terminology and definitions for the documentation of digital geospatial data. The standard establishes the names of data elements and compound elements (groups of data elements) to be used for these purposes, the definitions of these compound elements and data elements, and information about the values that are to be provided for the data elements. This standard is intended to support the collection and processing of geospatial metadata. It is intended to be usable by all levels of government and the private sector. This record also references three CSDGM extensions: the Extensions for Remote Sensing Metadata, the Biological Data Profile, and the Metadata Profile for Shoreline Data. Executive Order 12906 directed that Federal agencies document geospatial resources using this standard. Since the publication of EO 12906, the FGDC has endorsed several ISO Geospatial Metadata Standards that are now encouraged for use.","abbreviation":"FGDC CSDGM","support_links":[{"url":"https://www.fgdc.gov/metadata/documents/MetadataQuickGuide.pdf","name":"Quick Guide","type":"Help documentation"},{"url":"https://www.fgdc.gov/metadata/documents/workbook_0501_bmk.pdf","name":"CSDGM Workbook","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/metadata/base-metadata/v2_0698.pdf","name":"Specification document (pdf)","type":"Help documentation"},{"url":"https://www.fgdc.gov/metadata/documents/CSDGMEssentialMeta_20080514.pdf","name":"Essential Metadata Documentation","type":"Help documentation"},{"url":"http://www.fgdc.gov/csdgmgraphical/index.html","name":"CSDGM Graphical Representation","type":"Help documentation"},{"url":"https://www.fgdc.gov/metadata/csdgm/index_html","name":"Specification document (html)","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/csdgm_rs_ex/MetadataRemoteSensingExtens.pdf","name":"Content Standard for Digital Geospatial Metadata: Extensions for Remote Sensing Metadata (pdf)","type":"Help documentation"},{"url":"http://www.csc.noaa.gov/metadata/sprofile.pdf","name":"Metadata Profile for Shoreline Data (pdf)","type":"Help documentation"},{"url":"https://www.fgdc.gov/standards/projects/metadata/biometadata/biodatap.pdf","name":"Biological Data Profile of the Content Standard for Digital Geospatial Metadata (pdf)","type":"Help documentation"}],"year_creation":1998,"associated_tools":[{"url":"http://mercury.ornl.gov/OME/","name":"USGS Core Sciences Online Metadata Editor"},{"url":"https://www.sciencebase.gov/catalog/item/50ed7aa4e4b0438b00db080a","name":"USGS Metadata Wizard"}],"deprecation_date":"2018-09-25","deprecation_reason":"This resource has been deprecated by the FGDC in favor of ISO Geospatial Metadata Standards."},"legacy_ids":["bsg-001293","bsg-s001293"],"name":"FAIRsharing record for: Federal Geographic Data Committee: Content Standard for Digital Geospatial Metadata","abbreviation":"FGDC CSDGM","url":"https://fairsharing.org/fairsharing_records/1445","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Content Standard for Digital Geospatial Metadata (CSDGM), Vers. 2 (FGDC-STD-001-1998) is the current version of this FGDC authored and endorsed standard. The objectives of the standard are to provide a common set of terminology and definitions for the documentation of digital geospatial data. The standard establishes the names of data elements and compound elements (groups of data elements) to be used for these purposes, the definitions of these compound elements and data elements, and information about the values that are to be provided for the data elements. This standard is intended to support the collection and processing of geospatial metadata. It is intended to be usable by all levels of government and the private sector. This record also references three CSDGM extensions: the Extensions for Remote Sensing Metadata, the Biological Data Profile, and the Metadata Profile for Shoreline Data. Executive Order 12906 directed that Federal agencies document geospatial resources using this standard. Since the publication of EO 12906, the FGDC has endorsed several ISO Geospatial Metadata Standards that are now encouraged for use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":7492,"fairsharing_record_id":1445,"organisation_id":1001,"relation":"maintains","created_at":"2021-09-30T09:28:39.581Z","updated_at":"2021-09-30T09:28:39.581Z","grant_id":null,"is_lead":true,"saved_state":{"id":1001,"name":"Federal Geographic Data Committee (FGDC), Virginia, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1446","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2023-08-17T06:07:49.259Z","metadata":{"doi":"10.25504/FAIRsharing.jh4xht","name":"Semantic Web for Earth and Environmental Terminology Ontology","status":"ready","contacts":[{"contact_name":"ESIP STC","contact_email":"esip-semantictech@lists.esipfed.org","contact_orcid":null}],"homepage":"http://sweetontology.net/","citations":[],"identifier":1446,"description":"The Semantic Web for Earth and Environmental Terminology is a mature foundation ontology originally developed at the NASA Jet Propulsion Laboratory. Containing over 11000 concepts organized into ~200 ontologies, its top-level concepts include Representation (math, space, science, time, data), Realm (Ocean, Land Surface, Terrestrial Hydroshere, Atmosphere, etc.), Phenomena (macro-scale ecological and physical), Processes (micro-scale physical, biological, chemical, and mathematical), and Human Activities (Decision, Commerce, Jurisdiction, Environmental, Research). Since 2017, SWEET has been under the governance of the ESIP foundation.","abbreviation":"SWEET","support_links":[{"url":"https://github.com/ESIPFed/sweet/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Recognition-of-SWEET-Contributors","name":"How to Credit your Contributions","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Graphics","name":"Ontology Graphics","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Publications","name":"Publications describing SWEET","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/SWEET-Annotation-Convention","name":"Annotation Conventions","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/Community-Announcements","name":"News","type":"Github"},{"url":"https://github.com/ESIPFed/sweet/wiki/SWEET-IRI-Patterns-for-Ontologies-and-their-Terms","name":"Curation: IRI Patterns","type":"Github"},{"url":"esip-semantictech@lists.esipfed.org","name":"ESIP STC committee","type":"Support email"}],"year_creation":2003,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SWEET","name":"SWEET","portal":"BioPortal"}]},"legacy_ids":["bsg-001030","bsg-s001030"],"name":"FAIRsharing record for: Semantic Web for Earth and Environmental Terminology Ontology","abbreviation":"SWEET","url":"https://fairsharing.org/10.25504/FAIRsharing.jh4xht","doi":"10.25504/FAIRsharing.jh4xht","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Semantic Web for Earth and Environmental Terminology is a mature foundation ontology originally developed at the NASA Jet Propulsion Laboratory. Containing over 11000 concepts organized into ~200 ontologies, its top-level concepts include Representation (math, space, science, time, data), Realm (Ocean, Land Surface, Terrestrial Hydroshere, Atmosphere, etc.), Phenomena (macro-scale ecological and physical), Processes (micro-scale physical, biological, chemical, and mathematical), and Human Activities (Decision, Commerce, Jurisdiction, Environmental, Research). Since 2017, SWEET has been under the governance of the ESIP foundation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Geology","Geography","Earth Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2221,"relation":"undefined"}],"grants":[{"id":7493,"fairsharing_record_id":1446,"organisation_id":810,"relation":"maintains","created_at":"2021-09-30T09:28:39.620Z","updated_at":"2021-09-30T09:28:39.620Z","grant_id":null,"is_lead":true,"saved_state":{"id":810,"name":"Earth Science Information Partners (ESIP)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1458","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:35.000Z","updated_at":"2023-07-19T13:59:19.312Z","metadata":{"doi":"10.25504/FAIRsharing.5a4y1y","name":"Obstetric and Neonatal Ontology","status":"ready","contacts":[{"contact_name":"Fernanda Farinelli","contact_email":"fernanda.farinelli@gmail.com"}],"homepage":"https://ontoneo.com/","citations":[],"identifier":1458,"description":"The Obstetric and Neonatal Ontology is a structured controlled vocabulary to provide a representation of the data from electronic health records (EHRs) involved in the care of the pregnant woman, and of her baby.","abbreviation":"ONTONEO","support_links":[{"url":"ontoneo-discuss@googlegroups.com","name":"OntONeo project discussing group","type":"Support email"},{"url":"https://www.researchgate.net/publication/304254064_OntONeo_The_Obstetric_and_Neonatal_Ontology","name":"Conference paper","type":"Other"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONTONEO","name":"ONTONEO","portal":"BioPortal"}]},"legacy_ids":["bsg-000983","bsg-s000983"],"name":"FAIRsharing record for: Obstetric and Neonatal Ontology","abbreviation":"ONTONEO","url":"https://fairsharing.org/10.25504/FAIRsharing.5a4y1y","doi":"10.25504/FAIRsharing.5a4y1y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Obstetric and Neonatal Ontology is a structured controlled vocabulary to provide a representation of the data from electronic health records (EHRs) involved in the care of the pregnant woman, and of her baby.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Obstetrics"],"domains":["Electronic health record"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3802,"pubmed_id":null,"title":"Ontologies for the representation of electronic medical records: The obstetric and neonatal ontology","year":2017,"url":"http://dx.doi.org/10.1002/asi.23900","authors":"Barcellos Almeida, Mauricio; Farinelli, Fernanda; ","journal":"Journal of the Association for Information Science and Technology","doi":"10.1002/asi.23900","created_at":"2023-03-17T08:49:55.633Z","updated_at":"2023-03-17T08:49:55.633Z"}],"licence_links":[],"grants":[{"id":10424,"fairsharing_record_id":1458,"organisation_id":3919,"relation":"undefined","created_at":"2023-03-17T08:52:25.829Z","updated_at":"2023-03-17T08:52:25.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":3919,"name":"Federal Institute of Minas Gerais","types":["University"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1460","type":"fairsharing_records","attributes":{"created_at":"2020-07-01T12:21:15.000Z","updated_at":"2022-07-20T10:49:54.289Z","metadata":{"doi":"10.25504/FAIRsharing.217b1b","name":"MARCXML","status":"ready","contacts":[{"contact_name":"Network Development and MARC Standards Office","contact_email":"ndmso@loc.gov"}],"homepage":"https://www.loc.gov/standards/marcxml/","identifier":1460,"description":"The MARC formats are standards for the representation and communication of bibliographic and related information in machine-readable form. MARCXML is an XML encoding of the MARC 21 format.","abbreviation":"MARCXML","support_links":[{"url":"https://www.loc.gov/standards/marcxml/marcxml-design.html","name":"MARCXML Design Considerations","type":"Help documentation"},{"url":"https://www.loc.gov/standards/marcxml/marcxml-architecture.html","name":"MARCXML Architecture","type":"Help documentation"},{"url":"https://www.loc.gov/standards/marcxml/marcxml-overview.html","name":"MARCXML Uses and Features","type":"Help documentation"},{"url":"https://www.loc.gov/standards/marcxml/xml/spy/spy.html","name":"MARCXML Schema Visualisation","type":"Help documentation"}],"year_creation":2006,"associated_tools":[{"url":"https://www.loc.gov/standards/marcxml/marcxml.zip","name":"MARC21 to MARCXML Toolkit"}]},"legacy_ids":["bsg-001504","bsg-s001504"],"name":"FAIRsharing record for: MARCXML","abbreviation":"MARCXML","url":"https://fairsharing.org/10.25504/FAIRsharing.217b1b","doi":"10.25504/FAIRsharing.217b1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MARC formats are standards for the representation and communication of bibliographic and related information in machine-readable form. MARCXML is an XML encoding of the MARC 21 format.","linked_records":[],"linking_records":[{"linking_record_name":"Emory Core Metadata Mapping to Selected Standards and Systems","linking_record_id":3645,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13365}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Knowledge and Information Systems","Data Management"],"domains":["Citation","Bibliography"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":1980,"relation":"undefined"}],"grants":[{"id":7503,"fairsharing_record_id":1460,"organisation_id":2132,"relation":"maintains","created_at":"2021-09-30T09:28:39.953Z","updated_at":"2021-09-30T09:28:39.953Z","grant_id":null,"is_lead":true,"saved_state":{"id":2132,"name":"Network Development and MARC Standards Office","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1566","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:02.836Z","metadata":{"doi":"10.25504/FAIRsharing.evfe2s","name":"Database of Aligned Ribosomal Complexes","status":"deprecated","contacts":[{"contact_name":"Roland Beckmann","contact_email":"Beckmann@lmb.uni-muenchen.de"}],"homepage":"http://darcsite.genzentrum.lmu.de/darc/","identifier":1566,"description":"The Database for Aligned Ribosomal Complexes (DARC) site provides a resource for directly comparing the structures of available ribosomal complexes.","abbreviation":"DARC","data_curation":{"type":"not found"},"support_links":[{"url":"darcsite@genzentrum.lmu.de","type":"Support email"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000020","bsg-d000020"],"name":"FAIRsharing record for: Database of Aligned Ribosomal Complexes","abbreviation":"DARC","url":"https://fairsharing.org/10.25504/FAIRsharing.evfe2s","doi":"10.25504/FAIRsharing.evfe2s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database for Aligned Ribosomal Complexes (DARC) site provides a resource for directly comparing the structures of available ribosomal complexes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12574}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Ribosomal RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1452,"pubmed_id":22009674,"title":"The DARC site: a database of aligned ribosomal complexes.","year":2011,"url":"http://doi.org/10.1093/nar/gkr824","authors":"Jarasch A,Dziuk P,Becker T,Armache JP,Hauser A,Wilson DN,Beckmann R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr824","created_at":"2021-09-30T08:25:02.290Z","updated_at":"2021-09-30T11:29:08.785Z"}],"licence_links":[],"grants":[{"id":73,"fairsharing_record_id":1566,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:17.571Z","updated_at":"2021-09-30T09:30:03.711Z","grant_id":534,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"WI3285/1-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8037,"fairsharing_record_id":1566,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:30:34.354Z","updated_at":"2021-09-30T09:30:34.405Z","grant_id":770,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"SFB594","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8456,"fairsharing_record_id":1566,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:32:43.455Z","updated_at":"2021-09-30T09:32:43.508Z","grant_id":1749,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"SFB646","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1567","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:02:38.134Z","metadata":{"doi":"10.25504/FAIRsharing.hezt3h","name":"DOMMINO: A comprehensive database of macromolecular interactions","status":"deprecated","contacts":[],"homepage":"http://www.dommino.org","citations":[],"identifier":1567,"description":"Database of MacroMolecular INteractions, a resource for macromolecular interactions.","abbreviation":null,"data_curation":{},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2022-06-29","deprecation_reason":"The resource homepage is no longer available, and a new one cannot be found. Please let us know if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000021","bsg-d000021"],"name":"FAIRsharing record for: DOMMINO: A comprehensive database of macromolecular interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.hezt3h","doi":"10.25504/FAIRsharing.hezt3h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of MacroMolecular INteractions, a resource for macromolecular interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular interaction","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1568","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:19:10.210Z","metadata":{"doi":"10.25504/FAIRsharing.dzr6rp","name":"Database of Differentially Expressed Proteins in Human Cancer","status":"deprecated","contacts":[{"contact_name":"dbDEPC Helpdesk","contact_email":"dbdepc@scbit.org"}],"homepage":"https://www.scbit.org/dbdepc3/index.php","identifier":1568,"description":"The dbDEPC is a database of differentially expressed proteins in human cancers.","abbreviation":"dbDEPC","data_curation":{"type":"not found"},"support_links":[{"url":"dbdepc@scbit.org","type":"Support email"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://lifecenter.sgst.cn/dbdepc/profile.do","name":"Draw a Cancer Profile Heatmap"},{"url":"http://lifecenter.sgst.cn/dbdepc/toNetworkPage.do","name":"DEPs Association Network of your Query Proteins"}],"deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000022","bsg-d000022"],"name":"FAIRsharing record for: Database of Differentially Expressed Proteins in Human Cancer","abbreviation":"dbDEPC","url":"https://fairsharing.org/10.25504/FAIRsharing.dzr6rp","doi":"10.25504/FAIRsharing.dzr6rp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The dbDEPC is a database of differentially expressed proteins in human cancers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Gene Ontology enrichment","Differential gene expression analysis","Differential protein expression analysis","Cancer","Molecular interaction","Genetic polymorphism","Protein"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Validation"],"countries":["China"],"publications":[{"id":764,"pubmed_id":22096234,"title":"dbDEPC 2.0: updated database of differentially expressed proteins in human cancers.","year":2011,"url":"http://doi.org/10.1093/nar/gkr936","authors":"He Y,Zhang M,Ju Y,Yu Z,Lv D,Sun H,Yuan W,He F,Zhang J,Li H,Li J,Wang-Sattler R,Li Y,Zhang G,Xie L","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr936","created_at":"2021-09-30T08:23:44.218Z","updated_at":"2021-09-30T11:28:50.475Z"},{"id":1327,"pubmed_id":19900968,"title":"dbDEPC: a database of differentially expressed proteins in human cancers.","year":2009,"url":"http://doi.org/10.1093/nar/gkp933","authors":"Li H., He Y., Ding G., Wang C., Xie L., Li Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp933","created_at":"2021-09-30T08:24:48.567Z","updated_at":"2021-09-30T08:24:48.567Z"}],"licence_links":[],"grants":[{"id":78,"fairsharing_record_id":1568,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:17.765Z","updated_at":"2021-09-30T09:32:48.546Z","grant_id":1784,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30900272","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8047,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:37.978Z","updated_at":"2021-09-30T09:30:38.034Z","grant_id":798,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2010CB912702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8206,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:31.533Z","updated_at":"2021-09-30T09:31:31.580Z","grant_id":1209,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2006CB910700","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8350,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:13.908Z","updated_at":"2021-09-30T09:32:13.965Z","grant_id":1527,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2007AA02Z304","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8481,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:50.735Z","updated_at":"2021-09-30T09:32:50.786Z","grant_id":1803,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009CB918404","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":74,"fairsharing_record_id":1568,"organisation_id":380,"relation":"maintains","created_at":"2021-09-30T09:24:17.606Z","updated_at":"2021-09-30T09:24:17.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":380,"name":"CAS Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Shanghai, China","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":79,"fairsharing_record_id":1568,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:17.808Z","updated_at":"2021-09-30T09:29:40.685Z","grant_id":355,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KSCX2-YW-R-112","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":75,"fairsharing_record_id":1568,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:17.648Z","updated_at":"2021-09-30T09:29:47.869Z","grant_id":408,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2009AA02Z304","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":76,"fairsharing_record_id":1568,"organisation_id":512,"relation":"funds","created_at":"2021-09-30T09:24:17.686Z","updated_at":"2021-09-30T09:31:39.492Z","grant_id":1270,"is_lead":false,"saved_state":{"id":512,"name":"China National Key Projects for Infectious Disease, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China","grant":"2008ZX10002-021","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1569","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:35.707Z","metadata":{"doi":"10.25504/FAIRsharing.z1ars2","name":"Database of Bacterial Exotoxins for Human","status":"deprecated","contacts":[{"contact_name":"Saikat Chakrabarti","contact_email":"saikat@iicb.res.in"}],"homepage":"http://www.hpppi.iicb.res.in/btox/","citations":[],"identifier":1569,"description":"DBETH is the Database of Bacterial Exotoxins for Human. The aim of this database is to assemble information on the toxins responsible for causing bacterial pathogenesis in humans.","abbreviation":"DBETH","data_curation":{"url":"http://www.hpppi.iicb.res.in/btox/About_DBETH.html","type":"manual/automated"},"support_links":[{"url":"http://www.hpppi.iicb.res.in/btox/Faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.hpppi.iicb.res.in/btox/About_DBETH.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2023-09-20","deprecation_reason":"The resource homepage remains available, but the database search and browse features are broken. Please get in touch with us if you have any additional information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.hpppi.iicb.res.in/btox/About_DBETH.html","type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000023","bsg-d000023"],"name":"FAIRsharing record for: Database of Bacterial Exotoxins for Human","abbreviation":"DBETH","url":"https://fairsharing.org/10.25504/FAIRsharing.z1ars2","doi":"10.25504/FAIRsharing.z1ars2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DBETH is the Database of Bacterial Exotoxins for Human. The aim of this database is to assemble information on the toxins responsible for causing bacterial pathogenesis in humans.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16649}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Exotoxin","Structure","Amino acid sequence"],"taxonomies":["Actinobacillus","Aeromonas","Arcanobacterium","Bacillus","Bordetella","Campylobacter","Clostridium","Corynebacterium","Escherichia","Gardnerella","Helicobacter","Kingella","Legionella","Listeria","Mycobacterium","Neisseria","Paenibacillus","Pasteurella","Pseudomonas","Rickettsia","Salmonella","Shigella","Staphylococcus","Streptococcus","Vibrio","Yersinia"],"user_defined_tags":["Pathogenic bacterial exotoxin"],"countries":["India"],"publications":[{"id":42,"pubmed_id":17090593,"title":"MvirDB--a microbial database of protein toxins, virulence factors and antibiotic resistance genes for bio-defence applications.","year":2006,"url":"http://doi.org/10.1093/nar/gkl791","authors":"Zhou CE., Smith J., Lam M., Zemla A., Dyer MD., Slezak T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl791","created_at":"2021-09-30T08:22:24.963Z","updated_at":"2021-09-30T08:22:24.963Z"},{"id":44,"pubmed_id":15608208,"title":"VFDB: a reference database for bacterial virulence factors.","year":2004,"url":"http://doi.org/10.1093/nar/gki008","authors":"Chen L., Yang J., Yu J., Yao Z., Sun L., Shen Y., Jin Q.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki008","created_at":"2021-09-30T08:22:25.146Z","updated_at":"2021-09-30T08:22:25.146Z"}],"licence_links":[],"grants":[{"id":80,"fairsharing_record_id":1569,"organisation_id":2661,"relation":"maintains","created_at":"2021-09-30T09:24:17.835Z","updated_at":"2021-09-30T09:24:17.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":2661,"name":"Structural Biology and Bioinformatics Division Indian Institute of Chemical Biology","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1570","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:21.987Z","metadata":{"doi":"10.25504/FAIRsharing.f21e5v","name":"DataBase of Transcriptional Start Sites","status":"ready","contacts":[{"contact_name":"Yutaka Suzuki","contact_email":"ysuzuki@ims.u-tokyo.ac.jp"}],"homepage":"http://dbtss.hgc.jp","citations":[],"identifier":1570,"description":"This database includes TSS data from adult and embryonic human tissue. DBTSS now contains 491 million TSS tag sequences for collected from a total of 20 tissues and 7 cell cultures.","abbreviation":"DBTSS","data_curation":{"type":"manual"},"support_links":[{"url":"http://dbtss.hgc.jp/?doc:help_2014.html","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/DBTSS","type":"Wikipedia"},{"url":"https://dbtss.hgc.jp/news.html","type":"Blog/News"}],"year_creation":2002,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000024","bsg-d000024"],"name":"FAIRsharing record for: DataBase of Transcriptional Start Sites","abbreviation":"DBTSS","url":"https://fairsharing.org/10.25504/FAIRsharing.f21e5v","doi":"10.25504/FAIRsharing.f21e5v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database includes TSS data from adult and embryonic human tissue. DBTSS now contains 491 million TSS tag sequences for collected from a total of 20 tissues and 7 cell cultures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Transcription factor"],"taxonomies":["Cyanidioschyzon merolae","Homo sapiens","Macaca fascicularis","Mus musculus","Pan troglodytes","Plasmodium falciparum","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":49,"pubmed_id":19910371,"title":"DBTSS provides a tissue specific dynamic view of Transcription Start Sites.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1017","authors":"Yamashita R., Wakaguri H., Sugano S., Suzuki Y., Nakai K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp1017","created_at":"2021-09-30T08:22:25.672Z","updated_at":"2021-09-30T08:22:25.672Z"},{"id":50,"pubmed_id":17942421,"title":"DBTSS: database of transcription start sites, progress report 2008.","year":2007,"url":"http://doi.org/10.1093/nar/gkm901","authors":"Wakaguri H., Yamashita R., Suzuki Y., Sugano S., Nakai K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm901","created_at":"2021-09-30T08:22:25.762Z","updated_at":"2021-09-30T08:22:25.762Z"},{"id":1273,"pubmed_id":25378318,"title":"DBTSS as an integrative platform for transcriptome, epigenome and genome sequence variation data.","year":2014,"url":"http://doi.org/10.1093/nar/gku1080","authors":"Suzuki A,Wakaguri H,Yamashita R,Kawano S,Tsuchihara K,Sugano S,Suzuki Y,Nakai K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1080","created_at":"2021-09-30T08:24:42.156Z","updated_at":"2021-09-30T11:29:04.868Z"},{"id":1545,"pubmed_id":24069199,"title":"Identification and characterization of cancer mutations in Japanese lung adenocarcinoma without sequencing of normal tissue counterparts.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0073484","authors":"Suzuki A,Mimaki S,Yamane Y,Kawase A,Matsushima K,Suzuki M,Goto K,Sugano S,Esumi H,Suzuki Y,Tsuchihara K","journal":"PLoS One","doi":"10.1371/journal.pone.0073484","created_at":"2021-09-30T08:25:13.019Z","updated_at":"2021-09-30T08:25:13.019Z"},{"id":1546,"pubmed_id":16381981,"title":"DBTSS: DataBase of Human Transcription Start Sites, progress report 2006.","year":2005,"url":"http://doi.org/10.1093/nar/gkj129","authors":"Yamashita R., Suzuki Y., Wakaguri H., Tsuritani K., Nakai K., Sugano S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj129","created_at":"2021-09-30T08:25:13.178Z","updated_at":"2021-09-30T08:25:13.178Z"},{"id":1547,"pubmed_id":14681363,"title":"DBTSS, DataBase of Transcriptional Start Sites: progress report 2004.","year":2003,"url":"http://doi.org/10.1093/nar/gkh076","authors":"Suzuki Y., Yamashita R., Sugano S., Nakai K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh076","created_at":"2021-09-30T08:25:13.286Z","updated_at":"2021-09-30T08:25:13.286Z"},{"id":1548,"pubmed_id":11752328,"title":"DBTSS: DataBase of human Transcriptional Start Sites and full-length cDNAs.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.328","authors":"Suzuki Y., Yamashita R., Nakai K., Sugano S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.328","created_at":"2021-09-30T08:25:13.452Z","updated_at":"2021-09-30T08:25:13.452Z"}],"licence_links":[],"grants":[{"id":82,"fairsharing_record_id":1570,"organisation_id":1953,"relation":"maintains","created_at":"2021-09-30T09:24:17.898Z","updated_at":"2021-09-30T09:24:17.898Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":83,"fairsharing_record_id":1570,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:24:17.937Z","updated_at":"2021-09-30T09:24:17.937Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":81,"fairsharing_record_id":1570,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:17.862Z","updated_at":"2021-09-30T09:31:26.401Z","grant_id":1169,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","grant":"221S0002","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1571","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-10-04T13:36:26.344Z","metadata":{"doi":"10.25504/FAIRsharing.c1q6jd","name":"DistiLD Database: Diseases and Traits in Linkage Disequilibrium Blocks","status":"deprecated","contacts":[{"contact_name":"Support email","contact_email":"distild@jensenlab.org"}],"homepage":"http://distild.jensenlab.org","citations":[],"identifier":1571,"description":"The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context.","abbreviation":"DistiLD","data_curation":{"type":"manual"},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2022-09-30","deprecation_reason":"The resource is no longer available at the stated homepage, and no alternative project site can be found. Please get in touch with us if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000026","bsg-d000026"],"name":"FAIRsharing record for: DistiLD Database: Diseases and Traits in Linkage Disequilibrium Blocks","abbreviation":"DistiLD","url":"https://fairsharing.org/10.25504/FAIRsharing.c1q6jd","doi":"10.25504/FAIRsharing.c1q6jd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Disease","Single nucleotide polymorphism","Gene","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":1238,"pubmed_id":22058129,"title":"DistiLD Database: diseases and traits in linkage disequilibrium blocks.","year":2011,"url":"http://doi.org/10.1093/nar/gkr899","authors":"Palleja A,Horn H,Eliasson S,Jensen LJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr899","created_at":"2021-09-30T08:24:38.122Z","updated_at":"2021-09-30T11:29:03.692Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":93,"relation":"undefined"}],"grants":[{"id":84,"fairsharing_record_id":1571,"organisation_id":767,"relation":"maintains","created_at":"2021-09-30T09:24:17.969Z","updated_at":"2021-09-30T09:24:17.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":767,"name":"Disease Systems Biology Group, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":85,"fairsharing_record_id":1571,"organisation_id":2196,"relation":"funds","created_at":"2021-09-30T09:24:18.051Z","updated_at":"2021-09-30T09:24:18.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1563","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:24:20.712Z","metadata":{"doi":"10.25504/FAIRsharing.y00hz4","name":"ConoServer","status":"ready","contacts":[{"contact_name":"David Craik","contact_email":"d.craik@imb.uq.edu.au","contact_orcid":"0000-0003-0007-6796"}],"homepage":"http://www.conoserver.org","citations":[{"doi":"10.1093/bioinformatics/btm596","pubmed_id":18065428,"publication_id":2372}],"identifier":1563,"description":"ConoServer is a database specializing in sequences and structures of peptides expressed by marine cone snails. The database gives access to protein sequences, nucleic acid sequences and structural information on conopeptides. ConoServer's data are first collected from the peer reviewed literature and from publicly available databases, including UniProtKB/Swiss-Prot, NCBI nucleotide (nt), and the World Wide Protein Data Bank. The data are then curated manually, which include the addition of references, the analysis of sequence regions, the identification of cysteine frameworks and gene superfamilies, and the identification of mature peptides in the precusor sequences.","abbreviation":"ConoServer","data_curation":{"url":"http://www.conoserver.org/?page=about_conoserver","type":"manual"},"support_links":[{"url":"http://www.conoserver.org/?page=classification","name":"Classification Schemes","type":"Help documentation"},{"url":"http://www.conoserver.org/?page=help","name":"Help Pages","type":"Help documentation"},{"url":"http://www.conoserver.org/?page=stats","name":"ConoServer Statistics","type":"Help documentation"},{"url":"http://www.conoserver.org/?page=about_conoserver","name":"About ConoServer","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/ConoServer","name":"ConoServer (Wikipedia)","type":"Wikipedia"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://www.conoserver.org/?page=conoprec","name":"ConoPrec: analyse conopeptide prosequences"},{"url":"http://www.conoserver.org/?page=ptmdiffmass","name":"ConoMass (step 1): differential PTM mass computation"},{"url":"http://www.conoserver.org/?page=identifymasslist","name":"ConoMass (step 2): identify peptides in mass list"},{"url":"http://www.conoserver.org/?page=comparemasses","name":"Compare mass lists"},{"url":"http://www.conoserver.org/?page=uniquemasses","name":"Remove replicate masses in mass list"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000017","bsg-d000017"],"name":"FAIRsharing record for: ConoServer","abbreviation":"ConoServer","url":"https://fairsharing.org/10.25504/FAIRsharing.y00hz4","doi":"10.25504/FAIRsharing.y00hz4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ConoServer is a database specializing in sequences and structures of peptides expressed by marine cone snails. The database gives access to protein sequences, nucleic acid sequences and structural information on conopeptides. ConoServer's data are first collected from the peer reviewed literature and from publicly available databases, including UniProtKB/Swiss-Prot, NCBI nucleotide (nt), and the World Wide Protein Data Bank. The data are then curated manually, which include the addition of references, the analysis of sequence regions, the identification of cysteine frameworks and gene superfamilies, and the identification of mature peptides in the precusor sequences.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11246},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12573}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurophysiology","Statistics","Life Science","Synthetic Biology"],"domains":["Protein structure","Nucleic acid sequence","Peptide","Patent","Classification","Protein","Amino acid sequence","Sequence variant"],"taxonomies":["Conus"],"user_defined_tags":["Conopeptide activity","Conopeptide mass","Conotoxin","Cysteine framework classification","Gene superfamily classification","Pharmacological family classification","Protein precursor organization","Statistics on classification schemes"],"countries":["Australia"],"publications":[{"id":549,"pubmed_id":20211197,"title":"Conopeptide characterization and classifications: an analysis using ConoServer.","year":2010,"url":"http://doi.org/10.1016/j.toxicon.2010.03.002","authors":"Kaas Q., Westermann JC., Craik DJ.,","journal":"Toxicon","doi":"10.1016/j.toxicon.2010.03.002","created_at":"2021-09-30T08:23:19.893Z","updated_at":"2021-09-30T08:23:19.893Z"},{"id":560,"pubmed_id":14715910,"title":"Conus venoms: a rich source of novel ion channel-targeted peptides.","year":2004,"url":"http://doi.org/10.1152/physrev.00020.2003","authors":"Terlau H., Olivera BM.,","journal":"Physiol. Rev.","doi":"10.1152/physrev.00020.2003","created_at":"2021-09-30T08:23:21.193Z","updated_at":"2021-09-30T08:23:21.193Z"},{"id":561,"pubmed_id":17649970,"title":"Chemical modification of conotoxins to improve stability and activity.","year":2007,"url":"http://doi.org/10.1021/cb700091j","authors":"Craik DJ., Adams DJ.,","journal":"ACS Chem. Biol.","doi":"10.1021/cb700091j","created_at":"2021-09-30T08:23:21.301Z","updated_at":"2021-09-30T08:23:21.301Z"},{"id":2372,"pubmed_id":18065428,"title":"ConoServer, a database for conopeptide sequences and structures.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm596","authors":"Kaas Q., Westermann JC., Halai R., Wang CK., Craik DJ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm596","created_at":"2021-09-30T08:26:51.585Z","updated_at":"2021-09-30T08:26:51.585Z"}],"licence_links":[{"licence_name":"ConoServer Permission required for commercial use","licence_id":145,"licence_url":"http://www.conoserver.org/","link_id":1807,"relation":"undefined"}],"grants":[{"id":66,"fairsharing_record_id":1563,"organisation_id":1387,"relation":"maintains","created_at":"2021-09-30T09:24:17.385Z","updated_at":"2021-09-30T09:24:17.385Z","grant_id":null,"is_lead":true,"saved_state":{"id":1387,"name":"Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1564","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:17.154Z","metadata":{"doi":"10.25504/FAIRsharing.semw9e","name":"CoryneRegNet 6.0 - Corynebacterial Regulation Network","status":"ready","contacts":[{"contact_name":"Mariana Teixeira Dornelles Parise","contact_email":"mparise@wzw.tum.de","contact_orcid":"0000-0003-4101-1016"}],"homepage":"http://www.coryneregnet.de/","citations":[],"identifier":1564,"description":"Corynebacterial Regulation Network a reference database and analysis platform for corynebacterial transcription factors and gene regulatory networks.","abbreviation":"CoryneRegNet","data_curation":{"type":"manual"},"support_links":[{"url":"https://exbio.wzw.tum.de/coryneregnet/docs\u0026help.htm","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000018","bsg-d000018"],"name":"FAIRsharing record for: CoryneRegNet 6.0 - Corynebacterial Regulation Network","abbreviation":"CoryneRegNet","url":"https://fairsharing.org/10.25504/FAIRsharing.semw9e","doi":"10.25504/FAIRsharing.semw9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Corynebacterial Regulation Network a reference database and analysis platform for corynebacterial transcription factors and gene regulatory networks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Gene Ontology enrichment","Regulation of gene expression","Transcription factor","Gene"],"taxonomies":["Aurimucosum ATCC 700975","Corynebacterium efficiens","Corynebacterium glutamicum R","Corynebacterium jeikeium K411","Corynebacterium pseudotuberculosis 1002","Corynebacterium pseudotuberculosis C231","Corynebacterium pseudotuberculosis FRC41","Diphtheriae NCTC 13129","Escherichia coli K12","Glutamicum ATCC 13032","Kroppenstedtii DSM 44385","Urealyticum DSM 7109"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":25,"pubmed_id":19498379,"title":"Integrated analysis and reconstruction of microbial transcriptional gene regulatory networks using CoryneRegNet.","year":2009,"url":"http://doi.org/10.1038/nprot.2009.81","authors":"Baumbach J., Wittkop T., Kleindt CK., Tauch A.,","journal":"Nat Protoc","doi":"10.1038/nprot.2009.81","created_at":"2021-09-30T08:22:23.085Z","updated_at":"2021-09-30T08:22:23.085Z"},{"id":26,"pubmed_id":19074493,"title":"Towards the integrated analysis, visualization and reconstruction of microbial gene regulatory networks.","year":2008,"url":"http://doi.org/10.1093/bib/bbn055","authors":"Baumbach J., Tauch A., Rahmann S.,","journal":"Brief. Bioinformatics","doi":"10.1093/bib/bbn055","created_at":"2021-09-30T08:22:23.179Z","updated_at":"2021-09-30T08:22:23.179Z"},{"id":27,"pubmed_id":17229482,"title":"CoryneRegNet 3.0--an interactive systems biology platform for the analysis of gene regulatory networks in corynebacteria and Escherichia coli.","year":2007,"url":"http://doi.org/10.1016/j.jbiotec.2006.12.012","authors":"Baumbach J., Wittkop T., Rademacher K., Rahmann S., Brinkrolf K., Tauch A.,","journal":"J. Biotechnol.","doi":"10.1016/j.jbiotec.2006.12.012","created_at":"2021-09-30T08:22:23.279Z","updated_at":"2021-09-30T08:22:23.279Z"},{"id":28,"pubmed_id":17986320,"title":"CoryneRegNet 4.0 - A reference database for corynebacterial gene regulatory networks.","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-429","authors":"Baumbach J.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-429","created_at":"2021-09-30T08:22:23.371Z","updated_at":"2021-09-30T08:22:23.371Z"},{"id":1193,"pubmed_id":22080556,"title":"CoryneRegNet 6.0--Updated database content, new analysis methods and novel features focusing on community demands.","year":2011,"url":"http://doi.org/10.1093/nar/gkr883","authors":"Pauling J,Rottger R,Tauch A,Azevedo V,Baumbach J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr883","created_at":"2021-09-30T08:24:32.622Z","updated_at":"2021-09-30T11:29:02.568Z"},{"id":3336,"pubmed_id":32393779,"title":"CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks.","year":2020,"url":"https://doi.org/10.1038/s41597-020-0484-9","authors":"Parise MTD, Parise D, Kato RB, Pauling JK, Tauch A, Azevedo VAC, Baumbach J","journal":"Scientific data","doi":"10.1038/s41597-020-0484-9","created_at":"2022-04-28T14:29:23.335Z","updated_at":"2022-04-28T14:29:23.335Z"}],"licence_links":[],"grants":[{"id":69,"fairsharing_record_id":1564,"organisation_id":1786,"relation":"maintains","created_at":"2021-09-30T09:24:17.459Z","updated_at":"2021-09-30T09:24:17.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":1786,"name":"Max Planck Institute for Informatics, Sarrebruck, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":68,"fairsharing_record_id":1564,"organisation_id":213,"relation":"maintains","created_at":"2021-09-30T09:24:17.433Z","updated_at":"2021-09-30T09:24:17.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":213,"name":"Bielefeld University, Bielefeld, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":70,"fairsharing_record_id":1564,"organisation_id":173,"relation":"maintains","created_at":"2021-09-30T09:24:17.485Z","updated_at":"2021-09-30T09:24:17.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":173,"name":"Baumbach lab, University of Southern Denmark, Denmark","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":71,"fairsharing_record_id":1564,"organisation_id":1481,"relation":"maintains","created_at":"2021-09-30T09:24:17.509Z","updated_at":"2021-09-30T09:24:17.509Z","grant_id":null,"is_lead":false,"saved_state":{"id":1481,"name":"International Computer Science Institute (ICSI), Berkeley, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1565","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:54:50.804Z","metadata":{"doi":"10.25504/FAIRsharing.f1m3bb","name":"Dragon Antimicrobial Peptide Database","status":"deprecated","contacts":[{"contact_name":"Vlad Bajic","contact_email":"vlad@sanbi.ac.za"}],"homepage":"http://apps.sanbi.ac.za/dampd/","identifier":1565,"description":"Dragon Antimicrobial Peptide Database is a manually curated database of known and putative antimicrobial peptides (AMPs). It covers both prokaryotes and eukaryotes organisms.","abbreviation":"DAMPD","data_curation":{"type":"not found"},"support_links":[{"url":"http://apps.sanbi.ac.za/dampd/Faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://apps.sanbi.ac.za/dampd/Help.php","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"SVM Prediction"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"SignalP"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"Hydrocalculator"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"HMMER"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"ClustalW"},{"url":"http://apps.sanbi.ac.za/dampd/BioTools.php","name":"Blast"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000019","bsg-d000019"],"name":"FAIRsharing record for: Dragon Antimicrobial Peptide Database","abbreviation":"DAMPD","url":"https://fairsharing.org/10.25504/FAIRsharing.f1m3bb","doi":"10.25504/FAIRsharing.f1m3bb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dragon Antimicrobial Peptide Database is a manually curated database of known and putative antimicrobial peptides (AMPs). It covers both prokaryotes and eukaryotes organisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Antimicrobial","Curated information"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Africa"],"publications":[{"id":45,"pubmed_id":14681487,"title":"ANTIMIC: a database of antimicrobial sequences.","year":2003,"url":"http://doi.org/10.1093/nar/gkh032","authors":"Brahmachary M., Krishnan SP., Koh JL., Khan AM., Seah SH., Tan TW., Brusic V., Bajic VB.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh032","created_at":"2021-09-30T08:22:25.238Z","updated_at":"2021-09-30T08:22:25.238Z"},{"id":1377,"pubmed_id":17254313,"title":"Computational promoter analysis of mouse, rat and human antimicrobial peptide-coding genes.","year":2007,"url":"http://doi.org/10.1186/1471-2105-7-S5-S8","authors":"Brahmachary M., Schönbach C., Yang L., Huang E., Tan SL., Chowdhary R., Krishnan SP., Lin CY., Hume DA., Kai C., Kawai J., Carninci P., Hayashizaki Y., Bajic VB.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-S5-S8","created_at":"2021-09-30T08:24:54.009Z","updated_at":"2021-09-30T08:24:54.009Z"}],"licence_links":[],"grants":[{"id":72,"fairsharing_record_id":1565,"organisation_id":1384,"relation":"maintains","created_at":"2021-09-30T09:24:17.538Z","updated_at":"2021-09-30T09:24:17.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1384,"name":"Institute for Infocomm Research (I2R), Singapore, Singapore","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1549","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:44:04.682Z","metadata":{"doi":"10.25504/FAIRsharing.m867wn","name":"ADHDgene","status":"deprecated","contacts":[{"contact_name":"Jing Wang","contact_email":"wangjing@psych.ac.cn"}],"homepage":"http://adhd.psych.ac.cn/","citations":[],"identifier":1549,"description":"A genetic database for attention deficit hyperactivity disorder. ADHDgene aims to provide research community with a central genetic resource and analysis platform for ADHD, to help unveil the genetic basis of ADHD and to contribute to global mental health.","abbreviation":"ADHDgene","data_curation":{"type":"manual"},"support_links":[{"url":"http://adhd.psych.ac.cn/tutorial.do","type":"Training documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2022-04-29","deprecation_reason":"This resource's homepage is no longer available, and a new homepage cannot be found. Please get in touch if you have any information regarding the current status of this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000003","bsg-d000003"],"name":"FAIRsharing record for: ADHDgene","abbreviation":"ADHDgene","url":"https://fairsharing.org/10.25504/FAIRsharing.m867wn","doi":"10.25504/FAIRsharing.m867wn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A genetic database for attention deficit hyperactivity disorder. ADHDgene aims to provide research community with a central genetic resource and analysis platform for ADHD, to help unveil the genetic basis of ADHD and to contribute to global mental health.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Biomedical Science"],"domains":["Citation","Chromosomal region","Single nucleotide polymorphism","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1500,"pubmed_id":22080511,"title":"ADHDgene: a genetic database for attention deficit hyperactivity disorder.","year":2011,"url":"http://doi.org/10.1093/nar/gkr992","authors":"Zhang L,Chang S,Li Z,Zhang K,Du Y,Ott J,Wang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr992","created_at":"2021-09-30T08:25:07.966Z","updated_at":"2021-09-30T11:29:11.276Z"}],"licence_links":[],"grants":[{"id":5,"fairsharing_record_id":1549,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:15.096Z","updated_at":"2021-09-30T09:31:24.793Z","grant_id":1158,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KSCX2-EW-J-8","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7,"fairsharing_record_id":1549,"organisation_id":245,"relation":"maintains","created_at":"2021-09-30T09:24:15.195Z","updated_at":"2021-09-30T09:24:15.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":245,"name":"Bioinformatics Laboratory, Institute of Psychology, Chinese Academy of Sciences (CAS), Beijing, China","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":6,"fairsharing_record_id":1549,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:15.133Z","updated_at":"2021-09-30T09:29:32.578Z","grant_id":292,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81101545","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1550","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:01:47.414Z","metadata":{"doi":"10.25504/FAIRsharing.y2yct1","name":"Allele frequency resource for research and teaching","status":"deprecated","contacts":[{"contact_name":"Kenneth K. Kidd","contact_email":"kidd@biomed.med.yale.edu"}],"homepage":"https://alfred.med.yale.edu/","citations":[],"identifier":1550,"description":"ALFRED is designed to make allele frequency data on human population samples readily available for use by the scientific and educational communities.","abbreviation":"ALFRED","data_curation":{"url":"https://alfred.med.yale.edu/alfred/AboutALFRED.asp#criteria","type":"manual/automated","notes":"ALFRED is free, web-accessible and actively curated"},"support_links":[{"url":"https://alfred.med.yale.edu/alfred/feedback.asp","type":"Contact form"},{"url":"alfred@yale.edu","type":"Support email"},{"url":"https://alfred.med.yale.edu/alfred/alfredFaq.asp","type":"Frequently Asked Questions (FAQs)"},{"url":"https://alfred.med.yale.edu/alfred/ALFREDtour-overview.asp","type":"Help documentation"},{"url":"http://alfred.med.yale.edu/alfred/AboutALFRED.asp","type":"Help documentation"}],"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012700","name":"re3data:r3d100012700","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001730","name":"SciCrunch:RRID:SCR_001730","portal":"SciCrunch"}],"deprecation_date":"2024-06-13","deprecation_reason":"Homepage message: We are happy to inform our users that the ALFRED web interface will continue from the same URL after March of 2019. Since the funding that supported ongoing data curation and new data addition and expansion has ended, we will no longer be able to support those functions. Ongoing support for the web-interface and the back-end database will be provided by Biomedical Informatics and Data Science (BIDS), Yale University\nALFRED is going through a software and server upgrade. Check back here for announcements.","data_access_condition":{"url":"https://alfred.med.yale.edu/alfred/alfredFaq.asp","type":"open","notes":"ALFRED is free, web-accessible and actively curated"},"resource_sustainability":{"url":"https://alfred.med.yale.edu/alfred/index.asp","name":"More information"},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://alfred.med.yale.edu/alfred/AboutALFRED.asp#criteria","type":"controlled","notes":"Only data on well defined population samples that are large enough to yield reasonably accurate frequencies and for polymorphisms sufficiently defined to be replicable can be included in ALFRED."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000004","bsg-d000004"],"name":"FAIRsharing record for: Allele frequency resource for research and teaching","abbreviation":"ALFRED","url":"https://fairsharing.org/10.25504/FAIRsharing.y2yct1","doi":"10.25504/FAIRsharing.y2yct1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ALFRED is designed to make allele frequency data on human population samples readily available for use by the scientific and educational communities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic polymorphism","Allele","Allele frequency"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":37,"pubmed_id":10592274,"title":"ALFRED: an allele frequency database for diverse populations and DNA polymorphisms.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.361","authors":"Cheung KH., Osier MV., Kidd JR., Pakstis AJ., Miller PL., Kidd KK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.361","created_at":"2021-09-30T08:22:24.354Z","updated_at":"2021-09-30T08:22:24.354Z"},{"id":38,"pubmed_id":12519999,"title":"ALFRED: the ALelle FREquency Database. Update.","year":2003,"url":"http://doi.org/10.1093/nar/gkg043","authors":"Rajeevan H., Osier MV., Cheung KH., Deng H., Druskin L., Heinzen R., Kidd JR., Stein S., Pakstis AJ., Tosches NP., Yeh CC., Miller PL., Kidd KK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg043","created_at":"2021-09-30T08:22:24.446Z","updated_at":"2021-09-30T08:22:24.446Z"},{"id":1554,"pubmed_id":22039151,"title":"ALFRED: an allele frequency resource for research and teaching.","year":2011,"url":"http://doi.org/10.1093/nar/gkr924","authors":"Rajeevan H,Soundararajan U,Kidd JR,Pakstis AJ,Kidd KK","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr924","created_at":"2021-09-30T08:25:14.291Z","updated_at":"2021-09-30T11:29:13.601Z"}],"licence_links":[{"licence_name":"Yale Medical School Copyright","licence_id":878,"licence_url":"http://alfred.med.yale.edu/alfred/fullcopyrightpage.asp","link_id":615,"relation":"undefined"}],"grants":[{"id":12,"fairsharing_record_id":1550,"organisation_id":3266,"relation":"maintains","created_at":"2021-09-30T09:24:15.364Z","updated_at":"2021-09-30T09:24:15.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":3266,"name":"Yale School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":14,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:15.437Z","updated_at":"2021-09-30T09:29:11.035Z","grant_id":129,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"AA09379","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7941,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:29:57.991Z","updated_at":"2021-09-30T09:29:58.038Z","grant_id":490,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"GM57672","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8073,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:30:46.212Z","updated_at":"2021-09-30T09:30:46.263Z","grant_id":861,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"LM05583","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9,"fairsharing_record_id":1550,"organisation_id":3174,"relation":"funds","created_at":"2021-09-30T09:24:15.275Z","updated_at":"2021-09-30T09:30:46.798Z","grant_id":866,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"T15LM07056","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8211,"fairsharing_record_id":1550,"organisation_id":3174,"relation":"funds","created_at":"2021-09-30T09:31:34.122Z","updated_at":"2021-09-30T09:31:34.174Z","grant_id":1229,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"P01GM57672","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8281,"fairsharing_record_id":1550,"organisation_id":3174,"relation":"funds","created_at":"2021-09-30T09:31:54.023Z","updated_at":"2021-09-30T09:31:54.066Z","grant_id":1378,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"R01AA09379","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8,"fairsharing_record_id":1550,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:15.237Z","updated_at":"2021-09-30T09:24:15.237Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10,"fairsharing_record_id":1550,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:24:15.311Z","updated_at":"2021-09-30T09:24:15.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":13,"fairsharing_record_id":1550,"organisation_id":3265,"relation":"maintains","created_at":"2021-09-30T09:24:15.395Z","updated_at":"2021-09-30T09:24:15.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":3265,"name":"Yale Center for Medical Informatics (YCMI), Yale University School of Medicine, New Haven, CT, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11,"fairsharing_record_id":1550,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:15.340Z","updated_at":"2021-09-30T09:31:53.580Z","grant_id":1374,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BCS0096588","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8349,"fairsharing_record_id":1550,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:32:13.767Z","updated_at":"2021-09-30T09:32:13.823Z","grant_id":1526,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"T15 LM07056","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8424,"fairsharing_record_id":1550,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:34.518Z","updated_at":"2021-09-30T09:32:34.564Z","grant_id":1681,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"SBR9632509","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8454,"fairsharing_record_id":1550,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:42.969Z","updated_at":"2021-09-30T09:32:43.024Z","grant_id":1746,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BCS0938633","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1551","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-04T09:22:03.147Z","metadata":{"doi":"10.25504/FAIRsharing.e65js","name":"Animal Transcription Factor Database","status":"ready","contacts":[{"contact_name":"An-Yuan Guo","contact_email":"guoay@hust.edu.cn","contact_orcid":"0000-0002-5099-7465"}],"homepage":"https://guolab.wchscu.cn/AnimalTFDB4//#/","citations":[],"identifier":1551,"description":"AnimalTFDB is a comprehensive animal transcription factor database. The resource is classification of transcription factors from 50 genomes from species including Homo sapiens and Caenorhabditis elegans. The database also has information on co-transcription factors and chromatin remodelling factors.","abbreviation":"AnimalTFDB","data_curation":{"url":"https://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"manual","notes":"Curation guide"},"support_links":[{"url":"https://guolab.wchscu.cn/AnimalTFDB4_Document/","name":"Document","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000005","bsg-d000005"],"name":"FAIRsharing record for: Animal Transcription Factor Database","abbreviation":"AnimalTFDB","url":"https://fairsharing.org/10.25504/FAIRsharing.e65js","doi":"10.25504/FAIRsharing.e65js","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AnimalTFDB is a comprehensive animal transcription factor database. The resource is classification of transcription factors from 50 genomes from species including Homo sapiens and Caenorhabditis elegans. The database also has information on co-transcription factors and chromatin remodelling factors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Gene Ontology enrichment","Annotation","Protein interaction","Molecular interaction","Binding motif","Gene feature","Transcription factor","Micro RNA","Gene","Orthologous","Paralogous"],"taxonomies":["Anas platyrhynchos","Anolis carolinensis","Astyanax mexicanus","Caenorhabditis elegans","Choloepus hoffmanni","Ciona intestinalis","Ciona savignyi","Danio rerio","Dasypus novemcinctus","Drosophila melanogaster","Echinops telfairi","Ficedula albicollis","Gadus morhua","Gallus gallus","Gasterosteus aculeatus","Latimeria chalumnae","Laurasiatheria","Lepisosteus oculatus","Loxodonta africana","Meleagris gallopavo","Monodelphis domestica","Notamacropus eugenii","Oreochromis niloticus","Ornithorhynchus anatinus","Oryzias latipes","Pelodiscus sinensis","Petromyzon marinus","Poecilia formosa","Primate","Procavia capensis","Rodentia","Sarcophilus harrisii","Taeniopygia guttata","Takifugu rubripes","Tetraodon nigroviridis","Xenopus tropicalis","Xiphophorus maculatus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":57,"pubmed_id":25262351,"title":"AnimalTFDB 2.0: a resource for expression, prediction and functional study of animal transcription factors.","year":2014,"url":"http://doi.org/10.1093/nar/gku887","authors":"Zhang HM,Liu T,Liu CJ,Song S,Zhang X,Liu W,Jia H,Xue Y,Guo AY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku887","created_at":"2021-09-30T08:22:26.495Z","updated_at":"2021-09-30T11:28:41.850Z"},{"id":58,"pubmed_id":22080564,"title":"AnimalTFDB: a comprehensive animal transcription factor database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr965","authors":"Zhang HM,Chen H,Liu W,Liu H,Gong J,Wang H,Guo AY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr965","created_at":"2021-09-30T08:22:26.586Z","updated_at":"2021-09-30T11:28:41.941Z"},{"id":100,"pubmed_id":30204897,"title":"AnimalTFDB 3.0: a comprehensive resource for annotation and prediction of animal transcription factors.","year":2018,"url":"http://doi.org/10.1093/nar/gky822","authors":"Hu H,Miao YR,Jia LH,Yu QY,Zhang Q,Guo AY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky822","created_at":"2021-09-30T08:22:31.211Z","updated_at":"2021-09-30T11:28:42.533Z"},{"id":4280,"pubmed_id":36268869,"title":"AnimalTFDB 4.0: a comprehensive animal transcription factor database updated with variation and expression annotations","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac907","authors":"Shen, Wen-Kang; Chen, Si-Yi; Gan, Zi-Quan; Zhang, Yu-Zhu; Yue, Tao; Chen, Miao-Miao; Xue, Yu; Hu, Hui; Guo, An-Yuan; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac907","created_at":"2024-05-22T13:05:31.421Z","updated_at":"2024-05-22T13:05:31.421Z"}],"licence_links":[{"licence_name":"AnimalTFDB Terms Of Use","licence_id":929,"licence_url":"http://bioinfo.life.hust.edu.cn/AnimalTFDB/#!/TermsOfUse","link_id":2663,"relation":"applies_to_content"}],"grants":[{"id":17,"fairsharing_record_id":1551,"organisation_id":1863,"relation":"funds","created_at":"2021-09-30T09:24:15.554Z","updated_at":"2021-09-30T09:24:15.554Z","grant_id":null,"is_lead":false,"saved_state":{"id":1863,"name":"Ministry of Education, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":15,"fairsharing_record_id":1551,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:15.479Z","updated_at":"2021-09-30T09:31:50.486Z","grant_id":1351,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFA0700403","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8487,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:51.927Z","updated_at":"2021-09-30T09:32:51.979Z","grant_id":1811,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31171271","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":18,"fairsharing_record_id":1551,"organisation_id":1272,"relation":"maintains","created_at":"2021-09-30T09:24:15.592Z","updated_at":"2021-09-30T09:24:15.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1272,"name":"Huazhong University of Science and Technology, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":16,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:15.517Z","updated_at":"2021-09-30T09:29:04.343Z","grant_id":80,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31822030","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7900,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:29:34.950Z","updated_at":"2021-09-30T09:29:35.001Z","grant_id":311,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31801154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8059,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:41.780Z","updated_at":"2021-09-30T09:30:41.837Z","grant_id":826,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31801113","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8339,"fairsharing_record_id":1551,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:32:09.950Z","updated_at":"2021-09-30T09:32:10.004Z","grant_id":1497,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31771458","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1552","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:45:32.101Z","metadata":{"doi":"10.25504/FAIRsharing.s8vrb1","name":"Apo and Holo structures DataBase","status":"deprecated","contacts":[{"contact_name":"Darby Tien-Hao Chang","contact_email":"darby@mail.ncku.edu.tw"}],"homepage":"http://ahdb.ee.ncku.edu.tw/","identifier":1552,"description":"AH-DB (Apo and Holo structures DataBase) collects the apo and holo structure pairs of proteins. Proteins are frequently associated with other molecules to perform their functions. Experimental structures determined in the bound state are named holo structures; while structures determined in the unbound state are named apo structures.","abbreviation":"AH-DB","data_curation":{"type":"not found"},"support_links":[{"url":"http://ahdb.ee.ncku.edu.tw/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000006","bsg-d000006"],"name":"FAIRsharing record for: Apo and Holo structures DataBase","abbreviation":"AH-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.s8vrb1","doi":"10.25504/FAIRsharing.s8vrb1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AH-DB (Apo and Holo structures DataBase) collects the apo and holo structure pairs of proteins. Proteins are frequently associated with other molecules to perform their functions. Experimental structures determined in the bound state are named holo structures; while structures determined in the unbound state are named apo structures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Structure alignment (pair)","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":805,"pubmed_id":22084200,"title":"AH-DB: collecting protein structure pairs before and after binding.","year":2011,"url":"http://doi.org/10.1093/nar/gkr940","authors":"Chang DT,Yao TJ,Fan CY,Chiang CY,Bai YH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr940","created_at":"2021-09-30T08:23:48.786Z","updated_at":"2021-09-30T11:28:51.683Z"}],"licence_links":[],"grants":[{"id":20,"fairsharing_record_id":1552,"organisation_id":1873,"relation":"funds","created_at":"2021-09-30T09:24:15.667Z","updated_at":"2021-09-30T09:30:50.499Z","grant_id":896,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 99-2628-E-006-017","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1572","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:26.823Z","metadata":{"doi":"10.25504/FAIRsharing.k337f0","name":"DNA Data Bank of Japan","status":"ready","contacts":[{"contact_name":"Osamu Ogasawara","contact_email":"oogasawa@nig.ac.jp"}],"homepage":"https://www.ddbj.nig.ac.jp/ddbj","citations":[],"identifier":1572,"description":"An annotated collection of all publicly available nucleotide and protein sequences. DDBJ collects sequence data mainly from Japanese researchers, as well as researchers in other countries. DDBJ is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","abbreviation":"DDBJ","data_curation":{"url":"https://www.ddbj.nig.ac.jp/ddbj/submission-e.html#annotation","type":"manual/automated"},"support_links":[{"url":"https://www.facebook.com/ddbjcenter/","name":"DDBJ Facebook","type":"Facebook"},{"url":"https://www.ddbj.nig.ac.jp/news/en/index-e.html?db=ddbj","name":"News","type":"Blog/News"},{"url":"https://www.ddbj.nig.ac.jp/contact-e.html","name":"DDBJ Contact Form","type":"Contact form"},{"url":"ddbj@ddbj.nig.ac.jp","name":"DDBJ General Contact","type":"Support email"},{"url":"https://www.ddbj.nig.ac.jp/faq/en/index-e.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/ddbj/","name":"DDBJ GitHub","type":"Github"},{"url":"https://drive.google.com/drive/u/0/folders/1E0cxLbWV8RGYUdNs0oKfXMij0TzJDQVD","name":"DDBJ Google Drive","type":"Help documentation"},{"url":"https://www.youtube.com/user/ddbjvideo","name":"DDBJ YouTube Channel","type":"Video"},{"url":"https://www.ddbj.nig.ac.jp/announcements-e.html","name":"DDBJ RSS Feed","type":"Blog/News"},{"url":"https://twitter.com/DDBJ_topics","name":"@DDBJ_topics","type":"Twitter"}],"year_creation":1987,"data_versioning":"yes","associated_tools":[{"url":"http://ddbj.nig.ac.jp/vecscreen/","name":"VecScreen"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010218","name":"re3data:r3d100010218","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002359","name":"SciCrunch:RRID:SCR_002359","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ddbj.nig.ac.jp/ddbj/submission-e.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000027","bsg-d000027"],"name":"FAIRsharing record for: DNA Data Bank of Japan","abbreviation":"DDBJ","url":"https://fairsharing.org/10.25504/FAIRsharing.k337f0","doi":"10.25504/FAIRsharing.k337f0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An annotated collection of all publicly available nucleotide and protein sequences. DDBJ collects sequence data mainly from Japanese researchers, as well as researchers in other countries. DDBJ is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17568},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10928},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12575},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16207}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Metagenomics","Genomics","Bioinformatics","Data Management","Transcriptomics"],"domains":["DNA sequence data","Annotation","Sequence annotation","Deoxyribonucleic acid","Nucleotide","Sequencing","Amino acid sequence","Genome","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United States","European Union"],"publications":[{"id":655,"pubmed_id":30357349,"title":"DDBJ update: the Genomic Expression Archive (GEA) for functional genomics data.","year":2018,"url":"http://doi.org/10.1093/nar/gky1002","authors":"Kodama Y,Mashima J,Kosuge T,Ogasawara O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1002","created_at":"2021-09-30T08:23:32.284Z","updated_at":"2021-09-30T11:28:48.717Z"},{"id":2097,"pubmed_id":29040613,"title":"DNA Data Bank of Japan: 30th anniversary.","year":2017,"url":"http://doi.org/10.1093/nar/gkx926","authors":"Kodama Y,Mashima J,Kosuge T,Kaminuma E,Ogasawara O,Okubo K,Nakamura Y,Takagi T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx926","created_at":"2021-09-30T08:26:16.313Z","updated_at":"2021-09-30T11:29:29.128Z"}],"licence_links":[{"licence_name":"DDBJ Policies and Disclaimers","licence_id":230,"licence_url":"https://www.ddbj.nig.ac.jp/policies-e.html","link_id":2312,"relation":"undefined"}],"grants":[{"id":86,"fairsharing_record_id":1572,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:24:18.108Z","updated_at":"2021-09-30T09:24:18.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":87,"fairsharing_record_id":1572,"organisation_id":252,"relation":"maintains","created_at":"2021-09-30T09:24:18.145Z","updated_at":"2021-09-30T09:24:18.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":252,"name":"Bioinformation and DDBJ Center","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":88,"fairsharing_record_id":1572,"organisation_id":2432,"relation":"funds","created_at":"2021-09-30T09:24:18.177Z","updated_at":"2021-09-30T09:24:18.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":2432,"name":"Research Organization of Information and Systems (ROIS), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":89,"fairsharing_record_id":1572,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:24:18.200Z","updated_at":"2021-09-30T09:32:17.787Z","grant_id":1553,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","grant":"JPMJCR1501","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1573","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:10:27.530Z","metadata":{"doi":"10.25504/FAIRsharing.rq71dw","name":"DNAtraffic","status":"deprecated","contacts":[{"contact_name":"Joanna Krwawicz","contact_email":"joanna.krwawicz@gmail.com"}],"homepage":"http://dnatraffic.ibb.waw.pl/","identifier":1573,"description":"A database for systems biology of DNA dynamics during the cell life.","abbreviation":"DNAtraffic","data_curation":{"type":"not found"},"support_links":[{"url":"http://dnatraffic.ibb.waw.pl/classification/faq/","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000028","bsg-d000028"],"name":"FAIRsharing record for: DNAtraffic","abbreviation":"DNAtraffic","url":"https://fairsharing.org/10.25504/FAIRsharing.rq71dw","doi":"10.25504/FAIRsharing.rq71dw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database for systems biology of DNA dynamics during the cell life.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Citation","Protein name","Drug structure","Drug name","Nucleic acid sequence","Protein image","Function analysis","Network model","Molecular function","Image","DNA damage","Cross linking","Disease","Pathway model","Amino acid sequence","Orthologous","Target"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Drosophila melanogaster","Escherichia coli","Homo sapiens","Mus musculus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":["Drug target in DNA network"],"countries":["Poland"],"publications":[{"id":1878,"pubmed_id":22110027,"title":"DNAtraffic--a new database for systems biology of DNA dynamics during the cell life.","year":2011,"url":"http://doi.org/10.1093/nar/gkr962","authors":"Kuchta K,Barszcz D,Grzesiuk E,Pomorski P,Krwawicz J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr962","created_at":"2021-09-30T08:25:51.246Z","updated_at":"2021-09-30T11:29:21.761Z"}],"licence_links":[],"grants":[{"id":92,"fairsharing_record_id":1573,"organisation_id":1400,"relation":"maintains","created_at":"2021-09-30T09:24:18.276Z","updated_at":"2021-09-30T09:24:18.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":1400,"name":"Institute of Biochemistry and Biophysics Polish Academy of Sciences, Warszawa, Poland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":90,"fairsharing_record_id":1573,"organisation_id":2820,"relation":"funds","created_at":"2021-09-30T09:24:18.225Z","updated_at":"2021-09-30T09:30:26.790Z","grant_id":714,"is_lead":false,"saved_state":{"id":2820,"name":"The Polish Ministry of Science and Higher Education","grant":"N N301 165835","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":91,"fairsharing_record_id":1573,"organisation_id":2186,"relation":"funds","created_at":"2021-09-30T09:24:18.251Z","updated_at":"2021-09-30T09:28:54.373Z","grant_id":9,"is_lead":false,"saved_state":{"id":2186,"name":"Norwegian Financial Mechanism, Norway","grant":"PNRF-143-AI-1/07","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1574","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:02.142Z","metadata":{"doi":"10.25504/FAIRsharing.z0ea6a","name":"doRiNA","status":"ready","contacts":[{"contact_name":"Altuna Akalin","contact_email":"altuna.akalin@mdc-berlin.de"}],"homepage":"http://dorina.mdc-berlin.de","citations":[],"identifier":1574,"description":"Database of RNA interactions in post-transcriptional regulation.","abbreviation":"doRiNA","data_curation":{"type":"automated"},"support_links":[{"url":"http://dorina.mdc-berlin.de/docs","type":"Help documentation"},{"url":"http://dorina.mdc-berlin.de/tutorials","type":"Training documentation"},{"url":"https://en.wikipedia.org/wiki/DoRiNA","type":"Wikipedia"},{"url":"https://www.surveymonkey.de/r/denbi-service?sc=rbc\u0026tool=dorina","name":"Participate in DoRINA survey","type":"Other"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011087","name":"re3data:r3d100011087","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013222","name":"SciCrunch:RRID:SCR_013222","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000029","bsg-d000029"],"name":"FAIRsharing record for: doRiNA","abbreviation":"doRiNA","url":"https://fairsharing.org/10.25504/FAIRsharing.z0ea6a","doi":"10.25504/FAIRsharing.z0ea6a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database of RNA interactions in post-transcriptional regulation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene expression","Exon","Micro RNA","Micro RNA (miRNA) target site"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus"],"user_defined_tags":["RNA-binding protein target sites"],"countries":["Germany"],"publications":[{"id":1868,"pubmed_id":20371350,"title":"Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP.","year":2010,"url":"http://doi.org/10.1016/j.cell.2010.03.009","authors":"Hafner M., Landthaler M., Burger L., Khorshid M., Hausser J., Berninger P., Rothballer A., Ascano M., Jungkamp AC., Munschauer M., Ulrich A., Wardle GS., Dewell S., Zavolan M., Tuschl T.,","journal":"Cell","doi":"10.1016/j.cell.2010.03.009","created_at":"2021-09-30T08:25:50.061Z","updated_at":"2021-09-30T08:25:50.061Z"},{"id":1869,"pubmed_id":16458514,"title":"A genome-wide map of conserved microRNA targets in C. elegans.","year":2006,"url":"http://doi.org/10.1016/j.cub.2006.01.050","authors":"Lall S., Grün D., Krek A., Chen K., Wang YL., Dewey CN., Sood P., Colombo T., Bray N., Macmenamin P., Kao HL., Gunsalus KC., Pachter L., Piano F., Rajewsky N.,","journal":"Curr. Biol.","doi":"10.1016/j.cub.2006.01.050","created_at":"2021-09-30T08:25:50.182Z","updated_at":"2021-09-30T08:25:50.182Z"},{"id":1870,"pubmed_id":25416797,"title":"DoRiNA 2.0--upgrading the doRiNA database of RNA interactions in post-transcriptional regulation.","year":2014,"url":"http://doi.org/10.1093/nar/gku1180","authors":"Blin K,Dieterich C,Wurmus R,Rajewsky N,Landthaler M,Akalin A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1180","created_at":"2021-09-30T08:25:50.288Z","updated_at":"2021-09-30T11:29:21.663Z"}],"licence_links":[],"grants":[{"id":96,"fairsharing_record_id":1574,"organisation_id":1783,"relation":"maintains","created_at":"2021-09-30T09:24:18.376Z","updated_at":"2021-09-30T09:24:18.376Z","grant_id":null,"is_lead":false,"saved_state":{"id":1783,"name":"Max Planck Institute for Biology of Ageing, Cologne, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":93,"fairsharing_record_id":1574,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:18.301Z","updated_at":"2021-09-30T09:24:18.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":94,"fairsharing_record_id":1574,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:24:18.326Z","updated_at":"2021-09-30T09:24:18.326Z","grant_id":null,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":95,"fairsharing_record_id":1574,"organisation_id":1267,"relation":"maintains","created_at":"2021-09-30T09:24:18.351Z","updated_at":"2021-09-30T09:24:18.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":97,"fairsharing_record_id":1574,"organisation_id":1778,"relation":"maintains","created_at":"2021-09-30T09:24:18.402Z","updated_at":"2021-09-30T09:24:18.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":1778,"name":"Max Delbrueck Center for Molecular Medicine (MDC), Berlin, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1554","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-03T17:19:15.368Z","metadata":{"doi":"10.25504/FAIRsharing.ewjdq6","name":"BioSamples","status":"ready","contacts":[{"contact_name":"Support email","contact_email":"biosamples@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biosamples/","citations":[{"doi":"10.1093/nar/gkab1046","pubmed_id":0,"publication_id":3215}],"identifier":1554,"description":"BioSamples, previously BioSample Database (BioSD), at the European Bioinformatics Institute stores and supplies descriptions and metadata about biological samples used in research and development by academia and industry. Samples are either 'reference' samples (e.g. from 1000 Genomes, HipSci, FAANG) or have been used in an assay database such as the European Nucleotide Archive (ENA) or ArrayExpress. It provides links to assays and specific samples, and accepts direct submissions of sample information.","abbreviation":"BioSD","data_curation":{"url":"https://www.ebi.ac.uk/biosamples/docs/guides/curation","type":"manual/automated","notes":"BioSamples performs automatic curation and supports manual curation to improve sample data findability."},"support_links":[{"url":"https://www.ebi.ac.uk/biosamples/docs/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/biosamples/docs","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/EBIBioSamples/biosamples-v4","name":"GitHub Project","type":"Github"},{"url":"https://www.ebi.ac.uk/biosamples/about","name":"About","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/biosamples","name":"BioSamples: Quick tour","type":"TeSS links to training materials"},{"url":"https://en.wikipedia.org/wiki/BioSD","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012628","name":"re3data:r3d100012628","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004856","name":"SciCrunch:RRID:SCR_004856","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/biosamples/submit","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000008","bsg-d000008"],"name":"FAIRsharing record for: BioSamples","abbreviation":"BioSD","url":"https://fairsharing.org/10.25504/FAIRsharing.ewjdq6","doi":"10.25504/FAIRsharing.ewjdq6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioSamples, previously BioSample Database (BioSD), at the European Bioinformatics Institute stores and supplies descriptions and metadata about biological samples used in research and development by academia and industry. Samples are either 'reference' samples (e.g. from 1000 Genomes, HipSci, FAANG) or have been used in an assay database such as the European Nucleotide Archive (ENA) or ArrayExpress. It provides links to assays and specific samples, and accepts direct submissions of sample information.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17059},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17080},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11317},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11828},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19499}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biology"],"domains":["Biological sample annotation","Biological sample","Assay","Protocol","Phenotype","Disease","Genotype"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":821,"pubmed_id":24265224,"title":"Updates to BioSamples database at European Bioinformatics Institute.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1081","authors":"Faulconbridge A,Burdett T,Brandizi M,Gostev M,Pereira R,Vasant D,Sarkans U,Brazma A,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1081","created_at":"2021-09-30T08:23:50.519Z","updated_at":"2021-09-30T11:28:53.084Z"},{"id":1265,"pubmed_id":22096232,"title":"The BioSample Database (BioSD) at the European Bioinformatics Institute.","year":2011,"url":"http://doi.org/10.1093/nar/gkr937","authors":"Gostev M,Faulconbridge A,Brandizi M,Fernandez-Banet J,Sarkans U,Brazma A,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr937","created_at":"2021-09-30T08:24:41.123Z","updated_at":"2021-09-30T11:29:04.535Z"},{"id":2764,"pubmed_id":30407529,"title":"BioSamples database: an updated sample metadata hub.","year":2018,"url":"http://doi.org/10.1093/nar/gky1061","authors":"Courtot M,Cherubin L,Faulconbridge A,Vaughan D,Green M,Richardson D,Harrison P,Whetzel PL,Parkinson H,Burdett T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1061","created_at":"2021-09-30T08:27:39.720Z","updated_at":"2021-09-30T11:29:43.220Z"},{"id":3215,"pubmed_id":0,"title":"BioSamples database: FAIRer samples metadata to accelerate research data management","year":2022,"url":"https://academic.oup.com/nar/article/50/D1/D1500/6423179","authors":"Mélanie Courtot, Dipayan Gupta, Isuru Liyanage, Fuqi Xu, Tony Burdett","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1046","created_at":"2022-02-08T12:16:26.427Z","updated_at":"2022-02-08T12:16:26.427Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2063,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2059,"relation":"undefined"}],"grants":[{"id":10016,"fairsharing_record_id":1554,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.875Z","updated_at":"2022-10-13T09:43:38.875Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":26,"fairsharing_record_id":1554,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:15.866Z","updated_at":"2021-09-30T09:24:15.866Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":27,"fairsharing_record_id":1554,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:15.904Z","updated_at":"2021-09-30T09:32:30.004Z","grant_id":1648,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"HEALTH-F4-2010-241669","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9238,"fairsharing_record_id":1554,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.526Z","updated_at":"2022-04-11T12:07:24.546Z","grant_id":1538,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"HEALTH-F4-2007-201413","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdm9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4143c907685616a1d811264fba5110541e029972/biosamples_LOGO.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1555","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:02.471Z","metadata":{"doi":"10.25504/FAIRsharing.d8bfx4","name":"Bitter Compounds Database","status":"ready","contacts":[{"contact_email":"nivlab@agri.huji.ac.il"}],"homepage":"https://bitterdb.agri.huji.ac.il/dbbitter.php","citations":[{"doi":"10.1093/nar/gkr755","pubmed_id":21940398,"publication_id":892},{"doi":"10.1093/nar/gky974","pubmed_id":null,"publication_id":3344}],"identifier":1555,"description":"BitterDB is a free and searchable database of bitter compounds. Compounds can be searched by name, chemical structure, similarity to other bitter compounds, association with a particular human bitter taste receptor, and so on. The database also contains information on mutations in bitter taste re- ceptors that were shown to influence receptor activation by bitter compounds. The aim of BitterDB is to facilitate studying the chemical features associated with bitterness.","abbreviation":"BitterDB","data_curation":{"type":"manual"},"support_links":[{"url":"nivlab@agri.huji.ac.il","type":"Support email"},{"url":"https://bitterdb.agri.huji.ac.il/dbbitter.php#Help","name":"Help - How to use BitterDB","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/BitterDB","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://bitterdb.agri.huji.ac.il/dbbitter.php#BitterPredict","name":"BitterPredict"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://bitterdb.agri.huji.ac.il/dbbitter.php#Upload","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000009","bsg-d000009"],"name":"FAIRsharing record for: Bitter Compounds Database","abbreviation":"BitterDB","url":"https://fairsharing.org/10.25504/FAIRsharing.d8bfx4","doi":"10.25504/FAIRsharing.d8bfx4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BitterDB is a free and searchable database of bitter compounds. Compounds can be searched by name, chemical structure, similarity to other bitter compounds, association with a particular human bitter taste receptor, and so on. The database also contains information on mutations in bitter taste re- ceptors that were shown to influence receptor activation by bitter compounds. The aim of BitterDB is to facilitate studying the chemical features associated with bitterness.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science"],"domains":["Molecular structure","Ligand","Nuclear receptor","Receptor","Toxicity"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":892,"pubmed_id":21940398,"title":"BitterDB: a database of bitter compounds.","year":2011,"url":"http://doi.org/10.1093/nar/gkr755","authors":"Wiener A,Shudler M,Levit A,Niv MY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr755","created_at":"2021-09-30T08:23:58.535Z","updated_at":"2021-09-30T11:28:55.011Z"},{"id":3344,"pubmed_id":null,"title":"BitterDB: taste ligands and receptors database in 2019","year":2018,"url":"http://dx.doi.org/10.1093/nar/gky974","authors":"Dagan-Wiener, Ayana; Di Pizio, Antonella; Nissim, Ido; Bahia, Malkeet S; Dubovski, Nitzan; Margulis, Eitan; Niv, Masha Y; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky974","created_at":"2022-05-04T08:10:01.367Z","updated_at":"2022-05-04T08:10:01.367Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":255,"relation":"undefined"}],"grants":[{"id":30,"fairsharing_record_id":1555,"organisation_id":1228,"relation":"maintains","created_at":"2021-09-30T09:24:16.065Z","updated_at":"2021-09-30T09:24:16.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1228,"name":"Hebrew University of Jerusalem, Israel","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":29,"fairsharing_record_id":1555,"organisation_id":3173,"relation":"funds","created_at":"2021-09-30T09:24:15.979Z","updated_at":"2021-09-30T09:30:52.341Z","grant_id":912,"is_lead":false,"saved_state":{"id":3173,"name":"U.S.-Israel Binational Science Foundation (BSF)","grant":"2007296","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9486,"fairsharing_record_id":1555,"organisation_id":3501,"relation":"maintains","created_at":"2022-05-04T08:15:15.596Z","updated_at":"2022-05-04T08:15:15.596Z","grant_id":null,"is_lead":true,"saved_state":{"id":3501,"name":"Niv Lab, Hebrew University of Jerusalem","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1556","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:23.295Z","metadata":{"doi":"10.25504/FAIRsharing.17r4y2","name":"BuG@Sbase","status":"deprecated","contacts":[{"contact_name":"Adam A. Witney","contact_email":"awitney@sgul.ac.uk","contact_orcid":"0000-0003-4561-7170"}],"homepage":"http://bugs.sgul.ac.uk/bugsbase/","identifier":1556,"description":"BuG@Sbase is a microbial gene expression and comparative genomic database containing microarray datasets.","abbreviation":"BuG@Sbase","data_curation":{"type":"not found"},"support_links":[{"url":"bugs@sgul.ac.uk","type":"Support email"},{"url":"http://bugs.sgul.ac.uk/bugsbase/tabs/help.php","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000010","bsg-d000010"],"name":"FAIRsharing record for: BuG@Sbase","abbreviation":"BuG@Sbase","url":"https://fairsharing.org/10.25504/FAIRsharing.17r4y2","doi":"10.25504/FAIRsharing.17r4y2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BuG@Sbase is a microbial gene expression and comparative genomic database containing microarray datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Comparative Genomics"],"domains":["Expression data"],"taxonomies":["Campylobacter","Clostridium","Haemophilus","Listeria","Mycobacterium","Neisseria","Staphylococcus","Streptococcus","Yersinia"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1144,"pubmed_id":21948792,"title":"BmuG@Sbase--a microbial gene expression and comparative genomic database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr796","authors":"Witney AA,Waldron DE,Brooks LA,Tyler RH,Withers M,Stoker NG,Wren BW,Butcher PD,Hinds J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr796","created_at":"2021-09-30T08:24:27.139Z","updated_at":"2021-09-30T11:29:00.627Z"},{"id":1388,"pubmed_id":18629280,"title":"BmuG@Sbase--a microarray database and analysis tool.","year":2008,"url":"http://doi.org/10.1002/cfg.197","authors":"Witney AA,Hinds J","journal":"Comp Funct Genomics","doi":"10.1002/cfg.197","created_at":"2021-09-30T08:24:55.176Z","updated_at":"2021-09-30T08:24:55.176Z"}],"licence_links":[],"grants":[{"id":31,"fairsharing_record_id":1556,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:16.104Z","updated_at":"2021-09-30T09:24:16.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":32,"fairsharing_record_id":1556,"organisation_id":3084,"relation":"maintains","created_at":"2021-09-30T09:24:16.147Z","updated_at":"2021-09-30T09:24:16.147Z","grant_id":null,"is_lead":false,"saved_state":{"id":3084,"name":"University Of London, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1557","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:40:52.166Z","metadata":{"doi":"10.25504/FAIRsharing.jr30xc","name":"Bacterial protein tYrosine Kinase database","status":"ready","contacts":[],"homepage":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbIndex","citations":[{"doi":"10.1093/nar/gkr915","pubmed_id":22080550,"publication_id":2339}],"identifier":1557,"description":"The Bacterial protein tYrosine Kinase database (BYKdb) contains computer-annotated BY-kinase sequences. The database web interface allows static and dynamic queries and provides integrated analysis tools including sequence annotation.","abbreviation":"BYKdb","data_curation":{"url":"https://doi.org/10.1093/nar/gkr915","type":"automated"},"support_links":[{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbContact","type":"Contact form"},{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbHelp","type":"Help documentation"},{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbNews","type":"Blog/News"},{"url":"https://bykdb.lyon.inserm.fr/BYKdb/BYKdbStats","name":"Statistics","type":"Other"}],"year_creation":2011,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkr915","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000011","bsg-d000011"],"name":"FAIRsharing record for: Bacterial protein tYrosine Kinase database","abbreviation":"BYKdb","url":"https://fairsharing.org/10.25504/FAIRsharing.jr30xc","doi":"10.25504/FAIRsharing.jr30xc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Bacterial protein tYrosine Kinase database (BYKdb) contains computer-annotated BY-kinase sequences. The database web interface allows static and dynamic queries and provides integrated analysis tools including sequence annotation.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12571}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Protein structure","Molecular function","Amino acid sequence"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2173,"pubmed_id":9434192,"title":"Characterization of a bacterial gene encoding an autophosphorylating protein tyrosine kinase.","year":1998,"url":"http://doi.org/10.1016/s0378-1119(97)00554-4","authors":"Grangeasse C., Doublet P., Vaganay E., Vincent C., Deléage G., Duclos B., Cozzone AJ.,","journal":"Gene","doi":"10.1016/s0378-1119(97)00554-4","created_at":"2021-09-30T08:26:24.866Z","updated_at":"2021-09-30T08:26:24.866Z"},{"id":2175,"pubmed_id":18772155,"title":"Identification of the idiosyncratic bacterial protein tyrosine kinase (BY-kinase) family signature.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn462","authors":"Jadeau F., Bechet E., Cozzone AJ., Deléage G., Grangeasse C., Combet C.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn462","created_at":"2021-09-30T08:26:25.117Z","updated_at":"2021-09-30T08:26:25.117Z"},{"id":2191,"pubmed_id":19189200,"title":"Tyrosine-kinases in bacteria: from a matter of controversy to the status of key regulatory enzymes.","year":2009,"url":"http://doi.org/10.1007/s00726-009-0237-8","authors":"Bechet E., Guiral S., Torres S., Mijakovic I., Cozzone AJ., Grangeasse C.,","journal":"Amino Acids","doi":"10.1007/s00726-009-0237-8","created_at":"2021-09-30T08:26:26.972Z","updated_at":"2021-09-30T08:26:26.972Z"},{"id":2339,"pubmed_id":22080550,"title":"BYKdb: the Bacterial protein tYrosine Kinase database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr915","authors":"Jadeau F,Grangeasse C,Shi L,Mijakovic I,Deleage G,Combet C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr915","created_at":"2021-09-30T08:26:47.258Z","updated_at":"2021-09-30T11:29:33.396Z"}],"licence_links":[],"grants":[{"id":36,"fairsharing_record_id":1557,"organisation_id":2439,"relation":"maintains","created_at":"2021-09-30T09:24:16.316Z","updated_at":"2021-09-30T09:24:16.316Z","grant_id":null,"is_lead":true,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":39,"fairsharing_record_id":1557,"organisation_id":2985,"relation":"maintains","created_at":"2021-09-30T09:24:16.440Z","updated_at":"2021-09-30T09:24:16.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":2985,"name":"Universite de Lyon, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":35,"fairsharing_record_id":1557,"organisation_id":2439,"relation":"funds","created_at":"2021-09-30T09:24:16.282Z","updated_at":"2021-09-30T09:30:24.664Z","grant_id":698,"is_lead":false,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","grant":"GIS IBiSA","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":33,"fairsharing_record_id":1557,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:16.190Z","updated_at":"2021-09-30T09:24:16.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":37,"fairsharing_record_id":1557,"organisation_id":1365,"relation":"maintains","created_at":"2021-09-30T09:24:16.356Z","updated_at":"2021-09-30T09:24:16.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":1365,"name":"Institut de Biologie et Chimie des Proteines (IBCP), Centre National de la Recherche Scientifique, Lyon, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":38,"fairsharing_record_id":1557,"organisation_id":1365,"relation":"funds","created_at":"2021-09-30T09:24:16.394Z","updated_at":"2021-09-30T09:24:16.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":1365,"name":"Institut de Biologie et Chimie des Proteines (IBCP), Centre National de la Recherche Scientifique, Lyon, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":40,"fairsharing_record_id":1557,"organisation_id":453,"relation":"maintains","created_at":"2021-09-30T09:24:16.498Z","updated_at":"2021-09-30T09:24:16.498Z","grant_id":null,"is_lead":true,"saved_state":{"id":453,"name":"Centre de Recherche en Cancerologie de Lyon (CRCL), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":34,"fairsharing_record_id":1557,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:16.230Z","updated_at":"2021-09-30T09:29:41.878Z","grant_id":363,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-07-JCJC0125-01 BACTYRKIN","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1558","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T13:22:41.545Z","metadata":{"doi":"10.25504/FAIRsharing.7x7ha7","name":"Central Aspergillus Data REpository","status":"deprecated","contacts":[{"contact_name":"CADRE Help Desk","contact_email":"helpdesk@cadre-genomes.org.uk"}],"homepage":"http://www.cadre-genomes.org.uk","citations":[],"identifier":1558,"description":"This project aims to support the international Aspergillus research community by gathering all genomic information regarding this significant genus into one resource - The Central Aspergillus REsource (CADRE). CADRE facilitates visualisation and analyses of data using the Ensembl software suite. Much of our data has been extracted from Genbank and augmented with the consent of the original sequencing groups. This additional work has been carried out using both automated and manual efforts, with support from specific annotation projects and the general Aspergillus community.","abbreviation":"CADRE","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.cadre-genomes.org.uk/info/about/contact/index.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.cadre-genomes.org.uk/info/about/ProjectInformation.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","deprecation_date":"2024-04-17","deprecation_reason":"The home page lands on a blog. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000012","bsg-d000012"],"name":"FAIRsharing record for: Central Aspergillus Data REpository","abbreviation":"CADRE","url":"https://fairsharing.org/10.25504/FAIRsharing.7x7ha7","doi":"10.25504/FAIRsharing.7x7ha7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This project aims to support the international Aspergillus research community by gathering all genomic information regarding this significant genus into one resource - The Central Aspergillus REsource (CADRE). CADRE facilitates visualisation and analyses of data using the Ensembl software suite. Much of our data has been extracted from Genbank and augmented with the consent of the original sequencing groups. This additional work has been carried out using both automated and manual efforts, with support from specific annotation projects and the general Aspergillus community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Protein domain","Gene name","DNA sequence data","Gene Ontology enrichment","Genome alignment","Gene model annotation","Orthologous","Karyotype","Genetic strain"],"taxonomies":["Aspergillus","Neosartorya fischeri"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":128,"pubmed_id":19039001,"title":"Aspergillus genomes and the Aspergillus cloud.","year":2008,"url":"http://doi.org/10.1093/nar/gkn876","authors":"Mabey Gilsenan JE., Atherton G., Bartholomew J., Giles PF., Attwood TK., Denning DW., Bowyer P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn876","created_at":"2021-09-30T08:22:34.064Z","updated_at":"2021-09-30T08:22:34.064Z"},{"id":1320,"pubmed_id":14681443,"title":"CADRE: the Central Aspergillus Data REpository.","year":2003,"url":"http://doi.org/10.1093/nar/gkh009","authors":"Mabey JE., Anderson MJ., Giles PF., Miller CJ., Attwood TK., Paton NW., Bornberg-Bauer E., Robson GD., Oliver SG., Denning DW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh009","created_at":"2021-09-30T08:24:47.559Z","updated_at":"2021-09-30T08:24:47.559Z"},{"id":2634,"pubmed_id":19146970,"title":"The 2008 update of the Aspergillus nidulans genome annotation: a community effort.","year":2009,"url":"http://doi.org/10.1016/j.fgb.2008.12.003","authors":"Wortman JR. et al.","journal":"Fungal Genet. Biol.","doi":"10.1016/j.fgb.2008.12.003","created_at":"2021-09-30T08:27:23.471Z","updated_at":"2021-09-30T08:27:23.471Z"}],"licence_links":[],"grants":[{"id":42,"fairsharing_record_id":1558,"organisation_id":2516,"relation":"maintains","created_at":"2021-09-30T09:24:16.589Z","updated_at":"2021-09-30T09:24:16.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":2516,"name":"School of Medicine, The University Hospital of South Manchester (Wythenshawe), Manchester M23 9LT, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":41,"fairsharing_record_id":1558,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:16.536Z","updated_at":"2021-09-30T09:24:16.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":44,"fairsharing_record_id":1558,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:24:16.672Z","updated_at":"2021-09-30T09:24:16.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":45,"fairsharing_record_id":1558,"organisation_id":2517,"relation":"maintains","created_at":"2021-09-30T09:24:16.710Z","updated_at":"2021-09-30T09:24:16.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2517,"name":"School of Medicine, University of Manchester, Manchester M13 9PT, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9236,"fairsharing_record_id":1558,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.358Z","updated_at":"2022-04-11T12:07:24.377Z","grant_id":215,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"242220","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1559","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:15.867Z","metadata":{"doi":"10.25504/FAIRsharing.nj4vca","name":"canSAR","status":"ready","contacts":[{"contact_name":"Bissan Al-Lazikani","contact_email":"bissan.al-lazikani@icr.ac.uk","contact_orcid":"0000-0003-3367-2519"},{"contact_name":"General Contact","contact_email":"cansar@mdanderson.org","contact_orcid":null}],"homepage":"https://cansar.ai/","citations":[],"identifier":1559,"description":"canSAR is an integrated cancer research and drug discovery resource that brings together large-scale data from different disciplines and allows query and exploration to help cancer research and drug discovery.","abbreviation":null,"data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://cansar.ai/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/cansar_icr","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000013","bsg-d000013"],"name":"FAIRsharing record for: canSAR","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nj4vca","doi":"10.25504/FAIRsharing.nj4vca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: canSAR is an integrated cancer research and drug discovery resource that brings together large-scale data from different disciplines and allows query and exploration to help cancer research and drug discovery.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11757}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Drug report","Chemical structure","Expression data","Annotation","Cancer","Cellular assay","RNAi screening","Chemical screen","Drug binding","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":783,"pubmed_id":22013161,"title":"canSAR: an integrated cancer public translational research and drug discovery resource.","year":2011,"url":"http://doi.org/10.1093/nar/gkr881","authors":"Halling-Brown MD,Bulusu KC,Patel M,Tym JE,Al-Lazikani B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr881","created_at":"2021-09-30T08:23:46.318Z","updated_at":"2021-09-30T11:28:51.300Z"},{"id":784,"pubmed_id":24304894,"title":"canSAR: updated cancer research and drug discovery knowledgebase.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1182","authors":"Bulusu KC,Tym JE,Coker EA,Schierz AC,Al-Lazikani B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1182","created_at":"2021-09-30T08:23:46.426Z","updated_at":"2021-09-30T11:28:51.408Z"},{"id":1454,"pubmed_id":26673713,"title":"canSAR: an updated cancer research and drug discovery knowledgebase.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1030","authors":"Tym JE,Mitsopoulos C,Coker EA,Razaz P,Schierz AC,Antolin AA,Al-Lazikani B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1030","created_at":"2021-09-30T08:25:02.499Z","updated_at":"2021-09-30T11:29:08.878Z"},{"id":3371,"pubmed_id":null,"title":"canSAR: update to the cancer translational research and drug discovery knowledgebase","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa1059","authors":"Mitsopoulos, Costas; Di Micco, Patrizio; Fernandez, Eloy Villasclaras; Dolciami, Daniela; Holt, Esty; Mica, Ioan L; Coker, Elizabeth A; Tym, Joseph E; Campbell, James; Che, Ka Hing; Ozer, Bugra; Kannas, Christos; Antolin, Albert A; Workman, Paul; Al-Lazikani, Bissan; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1059","created_at":"2022-05-23T12:25:09.483Z","updated_at":"2022-05-23T12:25:09.483Z"},{"id":4051,"pubmed_id":null,"title":"canSAR: update to the cancer translational research and drug discovery knowledgebase","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1004","authors":"di Micco, Patrizio; Antolin, Albert A; Mitsopoulos, Costas; Villasclaras-Fernandez, Eloy; Sanfelice, Domenico; Dolciami, Daniela; Ramagiri, Pradeep; Mica, Ioan L; Tym, Joseph E; Gingrich, Philip W; Hu, Huabin; Workman, Paul; Al-Lazikani, Bissan; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1004","created_at":"2023-11-22T12:41:52.235Z","updated_at":"2023-11-22T12:41:52.235Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3413,"relation":"applies_to_content"}],"grants":[{"id":47,"fairsharing_record_id":1559,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:16.790Z","updated_at":"2021-09-30T09:31:55.386Z","grant_id":1388,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"600388","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":48,"fairsharing_record_id":1559,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:24:16.831Z","updated_at":"2021-09-30T09:30:06.629Z","grant_id":555,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK Manchester Institute","grant":"C309/A8274","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":46,"fairsharing_record_id":1559,"organisation_id":369,"relation":"funds","created_at":"2021-09-30T09:24:16.747Z","updated_at":"2021-09-30T09:32:24.321Z","grant_id":1605,"is_lead":false,"saved_state":{"id":369,"name":"Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, UK","grant":"C309/A11566","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11103,"fairsharing_record_id":1559,"organisation_id":4175,"relation":"maintains","created_at":"2023-11-22T12:47:31.945Z","updated_at":"2023-11-22T12:47:31.945Z","grant_id":null,"is_lead":true,"saved_state":{"id":4175,"name":"The University of Texas MD Anderson Cancer Center","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":11104,"fairsharing_record_id":1559,"organisation_id":4175,"relation":"funds","created_at":"2023-11-22T12:47:31.946Z","updated_at":"2023-11-22T12:47:31.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":4175,"name":"The University of Texas MD Anderson Cancer Center","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11105,"fairsharing_record_id":1559,"organisation_id":1736,"relation":"funds","created_at":"2023-11-22T12:47:31.946Z","updated_at":"2023-11-22T12:47:31.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":1736,"name":"Lyda Hill Foundation, United States","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9556,"fairsharing_record_id":1559,"organisation_id":369,"relation":"maintains","created_at":"2022-05-23T12:26:44.619Z","updated_at":"2023-11-22T12:47:32.879Z","grant_id":null,"is_lead":false,"saved_state":{"id":369,"name":"Cancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZUU9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--af75346c3aa4ea0024b53c25b444be87f495f32f/cansar.png?disposition=inline","exhaustive_licences":true}},{"id":"1553","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:54:11.161Z","metadata":{"doi":"10.25504/FAIRsharing.9k7at4","name":"Aspergillus Genome Database","status":"deprecated","contacts":[{"contact_email":"aspergillus-curator@lists.stanford.edu"}],"homepage":"http://www.aspgd.org","citations":[],"identifier":1553,"description":"The Aspergillus Genome Database is a resource for genomic sequence data as well as gene and protein information for Aspergilli. This publicly available repository is a central point of access to genome, transcriptome and polymorphism data for the fungal research community.","abbreviation":"ASPGD","data_curation":{},"support_links":[{"url":"http://www.aspergillusgenome.org/HelpContents.shtml","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://www.aspergillusgenome.org/cgi-bin/compute/blast_clade.pl","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011253","name":"re3data:r3d100011253","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001880","name":"SciCrunch:RRID:SCR_001880","portal":"SciCrunch"}],"deprecation_date":"2022-07-13","deprecation_reason":"This resource is no longer active.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000007","bsg-d000007"],"name":"FAIRsharing record for: Aspergillus Genome Database","abbreviation":"ASPGD","url":"https://fairsharing.org/10.25504/FAIRsharing.9k7at4","doi":"10.25504/FAIRsharing.9k7at4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Aspergillus Genome Database is a resource for genomic sequence data as well as gene and protein information for Aspergilli. This publicly available repository is a central point of access to genome, transcriptome and polymorphism data for the fungal research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene model annotation","Curated information","Protein","Sequence","Gene","Genome"],"taxonomies":["Aspergillus","Aspergillus clavatus","Aspergillus flavus","Aspergillus fumigatus","Aspergillus niger","Aspergillus oryzae","Aspergillus terreus","Emericella nidulans","Neosartorya fischeri"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":29,"pubmed_id":19773420,"title":"The Aspergillus Genome Database, a curated comparative genomics resource for gene, protein and sequence information for the Aspergillus research community.","year":2009,"url":"http://doi.org/10.1093/nar/gkp751","authors":"Arnaud MB., Chibucos MC., Costanzo MC., Crabtree J., Inglis DO., Lotia A., Orvis J., Shah P., Skrzypek MS., Binkley G., Miyasato SR., Wortman JR., Sherlock G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp751","created_at":"2021-09-30T08:22:23.463Z","updated_at":"2021-09-30T08:22:23.463Z"},{"id":1365,"pubmed_id":22080559,"title":"The Aspergillus Genome Database (AspGD): recent developments in comprehensive multispecies curation, comparative genomics and community resources.","year":2011,"url":"http://doi.org/10.1093/nar/gkr875","authors":"Arnaud MB., Cerqueira GC., Inglis DO., Skrzypek MS., Binkley J., Chibucos MC., Crabtree J., Howarth C., Orvis J., Shah P., Wymore F., Binkley G., Miyasato SR., Simison M., Sherlock G., Wortman JR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr875","created_at":"2021-09-30T08:24:52.667Z","updated_at":"2021-09-30T08:24:52.667Z"},{"id":1366,"pubmed_id":24194595,"title":"The Aspergillus Genome Database: multispecies curation and incorporation of RNA-Seq data to improve structural gene annotations.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1029","authors":"Cerqueira GC,Arnaud MB,Inglis DO,Skrzypek MS,Binkley G,Simison M,Miyasato SR,Binkley J,Orvis J,Shah P,Wymore F,Sherlock G,Wortman JR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1029","created_at":"2021-09-30T08:24:52.774Z","updated_at":"2021-09-30T11:29:07.193Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":310,"relation":"undefined"}],"grants":[{"id":24,"fairsharing_record_id":1553,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:24:15.796Z","updated_at":"2021-09-30T09:24:15.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":22,"fairsharing_record_id":1553,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:24:15.723Z","updated_at":"2021-09-30T09:24:15.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":25,"fairsharing_record_id":1553,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:15.834Z","updated_at":"2021-09-30T09:24:15.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":23,"fairsharing_record_id":1553,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:15.754Z","updated_at":"2021-09-30T09:30:20.121Z","grant_id":662,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 AI077599","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1560","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:33.282Z","metadata":{"doi":"10.25504/FAIRsharing.r3pbp3","name":"CAPS-DB : a structural classification of helix-capping motifs","status":"ready","contacts":[{"contact_name":"Narcis Fernandez-Fuentes","contact_email":"N.Fernandez-Fuentes@leeds.ac.uk","contact_orcid":"0000-0002-6421-1080"}],"homepage":"http://www.bioinsilico.org/CAPSDB","citations":[],"identifier":1560,"description":"CAPS-DB is a structural classification of helix-cappings or caps compiled from protein structures. Caps extracted from protein structures have been structurally classified based on geometry and conformation and organized in a tree-like hierarchical classification where the different levels correspond to different properties of the caps.","abbreviation":"CAPS-DB","data_curation":{"url":"http://www.bioinsilico.org/cgi-bin/CAPSDB/staticHTML/help","type":"automated","notes":"Data is clustered"},"support_links":[{"url":"http://www.bioinsilico.org/cgi-bin/CAPSDB/staticHTML/help","name":"Help Page","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000014","bsg-d000014"],"name":"FAIRsharing record for: CAPS-DB : a structural classification of helix-capping motifs","abbreviation":"CAPS-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.r3pbp3","doi":"10.25504/FAIRsharing.r3pbp3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CAPS-DB is a structural classification of helix-cappings or caps compiled from protein structures. Caps extracted from protein structures have been structurally classified based on geometry and conformation and organized in a tree-like hierarchical classification where the different levels correspond to different properties of the caps.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12572}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Molecular structure","Protein structure","Atomic coordinate","Sequence annotation","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":33,"pubmed_id":9102471,"title":"An automated classification of the structure of protein loops.","year":1997,"url":"http://doi.org/10.1006/jmbi.1996.0819","authors":"Oliva B., Bates PA., Querol E., Avilés FX., Sternberg MJ.,","journal":"J. Mol. Biol.","doi":"10.1006/jmbi.1996.0819","created_at":"2021-09-30T08:22:23.889Z","updated_at":"2021-09-30T08:22:23.889Z"},{"id":1367,"pubmed_id":22021380,"title":"CAPS-DB: a structural classification of helix-capping motifs.","year":2011,"url":"http://doi.org/10.1093/nar/gkr879","authors":"Segura J,Oliva B,Fernandez-Fuentes N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr879","created_at":"2021-09-30T08:24:52.881Z","updated_at":"2021-09-30T11:29:07.284Z"}],"licence_links":[{"licence_name":"CAPS-DB Disclaimer","licence_id":914,"licence_url":"http://www.bioinsilico.org/cgi-bin/CAPSDB/staticHTML/disclaimer","link_id":2622,"relation":"applies_to_content"}],"grants":[{"id":8984,"fairsharing_record_id":1560,"organisation_id":3076,"relation":"maintains","created_at":"2022-03-11T11:19:09.158Z","updated_at":"2022-03-11T11:19:09.158Z","grant_id":null,"is_lead":true,"saved_state":{"id":3076,"name":"University of Leeds","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1617","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:46:52.553Z","metadata":{"doi":"10.25504/FAIRsharing.vr52p3","name":"Nucleic Acid Phylogenetic Profile","status":"ready","contacts":[{"contact_name":"Daniel Gautheret","contact_email":"daniel.gautheret@u-psud.fr","contact_orcid":"0000-0002-1508-8469"}],"homepage":"http://rssf.i2bc.paris-saclay.fr/NAPP/index.php","citations":[],"identifier":1617,"description":"NAPP (Nucleic Acids Phylogenetic Profile) enables users to retrieve RNA-rich clusters from any genome in a list of 1000+ sequenced bacterial genomes. RNA-rich clusters can be viewed separately or, alternatively, all tiles from RNA-rich clusters can be contiged into larger elements and retrieved at once as a CSV or GFF file for use in a genome browser or comparison with other predictions/RNA-seq experiments.","abbreviation":"NAPP","data_curation":{"url":"http://rssf.i2bc.paris-saclay.fr/NAPP/Help.php","type":"automated"},"support_links":[{"url":"napp.biologie@u-psud.fr","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/NAPP_(Database)","type":"Wikipedia"},{"url":"http://rssf.i2bc.paris-saclay.fr/NAPP/Help.php","name":"Help Information","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://rssf.i2bc.paris-saclay.fr/NAPP/Help.php","type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000073","bsg-d000073"],"name":"FAIRsharing record for: Nucleic Acid Phylogenetic Profile","abbreviation":"NAPP","url":"https://fairsharing.org/10.25504/FAIRsharing.vr52p3","doi":"10.25504/FAIRsharing.vr52p3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NAPP (Nucleic Acids Phylogenetic Profile) enables users to retrieve RNA-rich clusters from any genome in a list of 1000+ sequenced bacterial genomes. RNA-rich clusters can be viewed separately or, alternatively, all tiles from RNA-rich clusters can be contiged into larger elements and retrieved at once as a CSV or GFF file for use in a genome browser or comparison with other predictions/RNA-seq experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["RNA sequence","Clustering","Non-coding RNA"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":118,"pubmed_id":19237465,"title":"Single-pass classification of all noncoding sequences in a bacterial genome using phylogenetic profiles.","year":2009,"url":"http://doi.org/10.1101/gr.089714.108","authors":"Marchais A., Naville M., Bohn C., Bouloc P., Gautheret D.,","journal":"Genome Res.","doi":"10.1101/gr.089714.108","created_at":"2021-09-30T08:22:33.063Z","updated_at":"2021-09-30T08:22:33.063Z"},{"id":1147,"pubmed_id":21984475,"title":"NAPP: the Nucleic Acid Phylogenetic Profile Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr807","authors":"Ott A,Idali A,Marchais A,Gautheret D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr807","created_at":"2021-09-30T08:24:27.520Z","updated_at":"2021-09-30T11:29:00.917Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 France (CC BY 2.0 FR)","licence_id":935,"licence_url":"https://creativecommons.org/licenses/by/2.0/fr/","link_id":2683,"relation":"applies_to_content"}],"grants":[{"id":242,"fairsharing_record_id":1617,"organisation_id":1092,"relation":"maintains","created_at":"2021-09-30T09:24:23.545Z","updated_at":"2022-05-09T11:46:03.070Z","grant_id":null,"is_lead":true,"saved_state":{"id":1092,"name":"Gautheret Lab, Institute for Integrative Biology of the Cell","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":241,"fairsharing_record_id":1617,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:23.504Z","updated_at":"2021-09-30T09:32:40.238Z","grant_id":1726,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-06-MIME-016-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBY1E9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ded9743839b959ea5fd33e0eaf6a3117c79ab55f/NAPP.png?disposition=inline","exhaustive_licences":false}},{"id":"1618","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:09.780Z","metadata":{"doi":"10.25504/FAIRsharing.8gwskw","name":"Network of Cancer Genes","status":"ready","contacts":[{"contact_name":"Thanos Mourikis","contact_email":"athanasios.mourikis@kcl.ac.uk"}],"homepage":"http://ncg.kcl.ac.uk/","citations":[{"publication_id":2454}],"identifier":1618,"description":"The Network of Cancer Genes (NCG) contains information on duplicability, evolution, protein-protein and microRNA-gene interaction, function, expression and essentiality of cancer genes from manually curated publications . NCG also provides information on the experimental validation that supports the role of these genes in cancer and annotates their properties (duplicability, evolutionary origin, expression profile, function and interactions with proteins and miRNAs).","abbreviation":"NCG","data_curation":{"type":"manual"},"support_links":[{"url":"francesca.ciccarelli@crick.ac.uk","name":"francesca.ciccarelli@crick.ac.uk","type":"Support email"},{"url":"http://ncg.kcl.ac.uk/help.php","name":"Help Pages","type":"Help documentation"},{"url":"http://ncg.kcl.ac.uk/statistics.php","name":"Statistics","type":"Help documentation"},{"url":"http://ncg.kcl.ac.uk/citation.php","name":"Citations","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Network_of_Cancer_Genes","name":"Wikipedia page","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000074","bsg-d000074"],"name":"FAIRsharing record for: Network of Cancer Genes","abbreviation":"NCG","url":"https://fairsharing.org/10.25504/FAIRsharing.8gwskw","doi":"10.25504/FAIRsharing.8gwskw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Network of Cancer Genes (NCG) contains information on duplicability, evolution, protein-protein and microRNA-gene interaction, function, expression and essentiality of cancer genes from manually curated publications . NCG also provides information on the experimental validation that supports the role of these genes in cancer and annotates their properties (duplicability, evolutionary origin, expression profile, function and interactions with proteins and miRNAs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Evolutionary Biology","Biomedical Science"],"domains":["Expression data","Protein interaction","Function analysis","Cancer","Gene silencing by miRNA (microRNA)","High Throughput Screening","Whole genome sequencing","Micro RNA","Experimentally determined","Orthologous","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":108,"pubmed_id":21490719,"title":"Modification of gene duplicability during the evolution of protein interaction network.","year":2011,"url":"http://doi.org/10.1371/journal.pcbi.1002029","authors":"D'Antonio M., Ciccarelli FD.,","journal":"PLoS Comput. Biol.","doi":"10.1371/journal.pcbi.1002029","created_at":"2021-09-30T08:22:31.997Z","updated_at":"2021-09-30T08:22:31.997Z"},{"id":421,"pubmed_id":19906700,"title":"Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes.","year":2009,"url":"http://doi.org/10.1093/nar/gkp957","authors":"Syed AS., D'Antonio M., Ciccarelli FD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp957","created_at":"2021-09-30T08:23:05.767Z","updated_at":"2021-09-30T08:23:05.767Z"},{"id":1593,"pubmed_id":18675489,"title":"Low duplicability and network fragility of cancer genes.","year":2008,"url":"http://doi.org/10.1016/j.tig.2008.06.003","authors":"Rambaldi D., Giorgi FM., Capuani F., Ciliberto A., Ciccarelli FD.,","journal":"Trends Genet.","doi":"10.1016/j.tig.2008.06.003","created_at":"2021-09-30T08:25:18.585Z","updated_at":"2021-09-30T08:25:18.585Z"},{"id":1947,"pubmed_id":26516186,"title":"NCG 5.0: updates of a manually curated repository of cancer genes and associated properties from cancer mutational screenings.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1123","authors":"An O,Dall'Olio GM,Mourikis TP,Ciccarelli FD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1123","created_at":"2021-09-30T08:25:59.079Z","updated_at":"2021-09-30T11:29:24.493Z"},{"id":2454,"pubmed_id":null,"title":"The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screens.","year":2018,"url":"https://doi.org/10.1101/389858","authors":"Dimitra Repana, Joel Nulsen, Lisa Dressler, Michele Bortolomeazzi, Santhilata Kuppili Venkata, Aikaterini Tourna, Anna Yakovleva, Tommaso Palmieri, View ORCID ProfileFrancesca D Ciccarelli","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:27:01.019Z","updated_at":"2021-09-30T11:28:40.203Z"}],"licence_links":[],"grants":[{"id":243,"fairsharing_record_id":1618,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:24:23.589Z","updated_at":"2021-09-30T09:24:23.589Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":244,"fairsharing_record_id":1618,"organisation_id":519,"relation":"maintains","created_at":"2021-09-30T09:24:23.619Z","updated_at":"2021-09-30T09:24:23.619Z","grant_id":null,"is_lead":true,"saved_state":{"id":519,"name":"Ciccarelli group, King's College London, United Kingdom","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1619","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:55:54.089Z","metadata":{"doi":"10.25504/FAIRsharing.k6a8e5","name":"Newt-omics","status":"deprecated","contacts":[{"contact_name":"Thomas Braun","contact_email":"Thomas.Braun@mpi-bn.mpg.de","contact_orcid":"0000-0002-6165-4804"}],"homepage":"http://newt-omics.mpi-bn.mpg.de","citations":[],"identifier":1619,"description":"A comprehensive repository for omics data from the red spotted newt Notophthalmus viridescens from high throughput experiments. Newt-Omics aims to provide a comprehensive platform of expressed genes during tissue regeneration, including extensive annotations, expression data and experimentally verified peptide sequences with yet no homology to other publically available gene sequences. The goal is to obtain a detailed understanding of the molecular processes underlying tissue regeneration in the newt,that may lead to the development of approaches, efficiently stimulating regenerative pathways in mammalians.","abbreviation":"Newt-omics","data_curation":{},"support_links":[{"url":"http://newt-omics.mpi-bn.mpg.de/tutorial.php","name":"Tutorial","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2022-05-18","deprecation_reason":"The resource homepage no longer exists, and a new project page cannot be found. Please get in touch with us if you have more information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000075","bsg-d000075"],"name":"FAIRsharing record for: Newt-omics","abbreviation":"Newt-omics","url":"https://fairsharing.org/10.25504/FAIRsharing.k6a8e5","doi":"10.25504/FAIRsharing.k6a8e5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive repository for omics data from the red spotted newt Notophthalmus viridescens from high throughput experiments. Newt-Omics aims to provide a comprehensive platform of expressed genes during tissue regeneration, including extensive annotations, expression data and experimentally verified peptide sequences with yet no homology to other publically available gene sequences. The goal is to obtain a detailed understanding of the molecular processes underlying tissue regeneration in the newt,that may lead to the development of approaches, efficiently stimulating regenerative pathways in mammalians.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics"],"domains":["Gene Ontology enrichment","Annotation","Protein identification","Peptide","DNA sequencing assay","Transcript","Complementary DNA"],"taxonomies":["Notophthalmus viridescens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":112,"pubmed_id":20047682,"title":"Analysis of newly established EST databases reveals similarities between heart regeneration in newt and fish.","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-4","authors":"Borchardt T., Looso M., Bruckskotten M., Weis P., Kruse J., Braun T.,","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-4","created_at":"2021-09-30T08:22:32.465Z","updated_at":"2021-09-30T08:22:32.465Z"},{"id":619,"pubmed_id":23425577,"title":"A de novo assembly of the newt transcriptome combined with proteomic validation identifies new protein families expressed during tissue regeneration.","year":2013,"url":"http://doi.org/10.1186/gb-2013-14-2-r16","authors":"Looso M, Preussner J, Sousounis K, Bruckskotten M, Michel CS, Lignelli E, Reinhardt R, Höffner S, Krüger M, Tsonis PA, Borchardt T, Braun T","journal":"Genome Biol.","doi":"doi:10.1186/gb-2013-14-2-r16","created_at":"2021-09-30T08:23:28.128Z","updated_at":"2021-09-30T08:23:28.128Z"},{"id":1444,"pubmed_id":20139370,"title":"Advanced identification of proteins in uncharacterized proteomes by pulsed in vivo stable isotope labeling-based mass spectrometry.","year":2010,"url":"http://doi.org/10.1074/mcp.M900426-MCP200","authors":"Looso M., Borchardt T., Krüger M., Braun T.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M900426-MCP200","created_at":"2021-09-30T08:25:01.443Z","updated_at":"2021-09-30T08:25:01.443Z"}],"licence_links":[],"grants":[{"id":245,"fairsharing_record_id":1619,"organisation_id":1784,"relation":"funds","created_at":"2021-09-30T09:24:23.649Z","updated_at":"2021-09-30T09:24:23.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1784,"name":"Max-Planck-Institute for Heart and Lung Research (MPI-HLR), Nauheim, Germany.","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8987,"fairsharing_record_id":1619,"organisation_id":1784,"relation":"maintains","created_at":"2022-03-11T15:54:38.668Z","updated_at":"2022-03-11T15:54:38.668Z","grant_id":null,"is_lead":true,"saved_state":{"id":1784,"name":"Max-Planck-Institute for Heart and Lung Research (MPI-HLR), Nauheim, Germany.","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1600","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:10.035Z","metadata":{"doi":"10.25504/FAIRsharing.smqf7y","name":"InterEvol database","status":"ready","contacts":[{"contact_name":"Raphael Guerois - Coordinator","contact_email":"raphael.guerois@cea.fr"}],"homepage":"http://biodev.cea.fr/interevol/","citations":[],"identifier":1600,"description":"Evolution of protein-protein Interfaces InterEvol is a resource for researchers to investigate the structural interaction of protein molecules and sequences using a variety of tools and resources.","abbreviation":null,"data_curation":{"type":"automated"},"support_links":[{"url":"http://biodev.cea.fr/interevol/faq/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://biodev.cea.fr/interevol/help/help.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"http://biodev.cea.fr/interevol/pymol/pymol.html","name":" InterEvol PyMOL plugin"}],"data_access_condition":{"type":"open","notes":"This website is free and open to all users and there is no login requirement."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000055","bsg-d000055"],"name":"FAIRsharing record for: InterEvol database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.smqf7y","doi":"10.25504/FAIRsharing.smqf7y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Evolution of protein-protein Interfaces InterEvol is a resource for researchers to investigate the structural interaction of protein molecules and sequences using a variety of tools and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Multiple sequence alignment","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1443,"pubmed_id":null,"title":"InterEvol database: exploring the structure and evolution of protein complex interfaces","year":2012,"url":"https://doi.org/10.1093/nar/gkr845","authors":"Faure G, Andreani J, and Guerois R","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:25:01.341Z","updated_at":"2021-09-30T11:28:41.375Z"}],"licence_links":[{"licence_name":"InterEvol Legal Information","licence_id":932,"licence_url":"http://biodev.cea.fr/legal.htm","link_id":2668,"relation":"applies_to_content"}],"grants":[{"id":182,"fairsharing_record_id":1600,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:21.572Z","updated_at":"2021-09-30T09:24:21.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":183,"fairsharing_record_id":1600,"organisation_id":1057,"relation":"funds","created_at":"2021-09-30T09:24:21.595Z","updated_at":"2021-09-30T09:24:21.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":1057,"name":"French Alternative Energies and Atomic Energy Commission (CEA), Gif sur Yvette, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1602","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:08:22.514Z","metadata":{"doi":"10.25504/FAIRsharing.7xkx69","name":"Mechanism, Annotation and Classification in Enzymes","status":"deprecated","contacts":[{"contact_name":"Gemma L. Holliday","contact_email":"gemma@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/thornton-srv/databases/MACiE","identifier":1602,"description":"MACiE is an electronic database of well-characterised enzymatic reactions. MACiE is the result of more than three years' collaboration between the Mitchell and Murray-Rust groups in the Unilever Centre and Prof. Janet Thornton at the European Bioinformatics Institute. The database contains the reaction mechanisms for 100 individual enzymes; this includes the overall reactions and the multiple steps that constitute them.","abbreviation":"MACiE","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/MACiE/FAQ.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ebi.ac.uk/thornton-srv/databases/MACiE/documentation/index.html","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now obsolete and, together with CSA (https://fairsharing.org/FAIRsharing.2ajtcf), has formed the basis of the M-CSA resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000057","bsg-d000057"],"name":"FAIRsharing record for: Mechanism, Annotation and Classification in Enzymes","abbreviation":"MACiE","url":"https://fairsharing.org/10.25504/FAIRsharing.7xkx69","doi":"10.25504/FAIRsharing.7xkx69","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MACiE is an electronic database of well-characterised enzymatic reactions. MACiE is the result of more than three years' collaboration between the Mitchell and Murray-Rust groups in the Unilever Centre and Prof. Janet Thornton at the European Bioinformatics Institute. The database contains the reaction mechanisms for 100 individual enzymes; this includes the overall reactions and the multiple steps that constitute them.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme Commission number","Reaction data","Molecular interaction","Enzymatic reaction","Enzyme"],"taxonomies":["All"],"user_defined_tags":["Chemical bond modification"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":90,"pubmed_id":16188925,"title":"MACiE: a database of enzyme reaction mechanisms.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti693","authors":"Holliday GL., Bartlett GJ., Almonacid DE., O'Boyle NM., Murray-Rust P., Thornton JM., Mitchell JB.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti693","created_at":"2021-09-30T08:22:30.280Z","updated_at":"2021-09-30T08:22:30.280Z"},{"id":104,"pubmed_id":17082206,"title":"MACiE (Mechanism, Annotation and Classification in Enzymes): novel tools for searching catalytic mechanisms.","year":2006,"url":"http://doi.org/10.1093/nar/gkl774","authors":"Holliday GL., Almonacid DE., Bartlett GJ., O'Boyle NM., Torrance JW., Murray-Rust P., Mitchell JB., Thornton JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl774","created_at":"2021-09-30T08:22:31.588Z","updated_at":"2021-09-30T08:22:31.588Z"}],"licence_links":[],"grants":[{"id":186,"fairsharing_record_id":1602,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:21.690Z","updated_at":"2021-09-30T09:24:21.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":187,"fairsharing_record_id":1602,"organisation_id":2914,"relation":"maintains","created_at":"2021-09-30T09:24:21.722Z","updated_at":"2021-09-30T09:24:21.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":2914,"name":"Unilever Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge Lensfield Road, Cambridge, CB2 1EW, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":188,"fairsharing_record_id":1602,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:21.755Z","updated_at":"2021-09-30T09:31:48.460Z","grant_id":1335,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/C51320X/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1603","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:55:51.183Z","metadata":{"doi":"10.25504/FAIRsharing.1ex4pm","name":"MAPPER-2","status":"deprecated","contacts":[{"contact_name":"Help desk","contact_email":"mapper-bugs@chip.org"}],"homepage":"http://genome.ufl.edu/mapperdb","identifier":1603,"description":"This resource provides information primarily on the upstream non-coding sequence data of genes in 3 genomes which gives insight into the transcription factors binding sites (TFBSs). For each transcript, the region scanned extends from 10,000bp upstream of the transcript start to 50bp downstream of the coding sequence start. Therefore, the database contains putative binding sites in the gene promoter and in the initial introns and non-coding exons. Information displayed for each putative binding site includes the transcription factor name, its position (absolute on the chromosome, or relative to the gene), the score of the prediction, and the region of the gene the site belongs to. If the selected gene has homologs in any of the other two organisms, the program optionally displays the putative TFBSs in the homologs.","abbreviation":"mapperdb","data_curation":{"type":"not found"},"year_creation":2005,"data_versioning":"yes","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000058","bsg-d000058"],"name":"FAIRsharing record for: MAPPER-2","abbreviation":"mapperdb","url":"https://fairsharing.org/10.25504/FAIRsharing.1ex4pm","doi":"10.25504/FAIRsharing.1ex4pm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource provides information primarily on the upstream non-coding sequence data of genes in 3 genomes which gives insight into the transcription factors binding sites (TFBSs). For each transcript, the region scanned extends from 10,000bp upstream of the transcript start to 50bp downstream of the coding sequence start. Therefore, the database contains putative binding sites in the gene promoter and in the initial introns and non-coding exons. Information displayed for each putative binding site includes the transcription factor name, its position (absolute on the chromosome, or relative to the gene), the score of the prediction, and the region of the gene the site belongs to. If the selected gene has homologs in any of the other two organisms, the program optionally displays the putative TFBSs in the homologs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Transcription factor","Exon","Intron","Genome"],"taxonomies":["Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":95,"pubmed_id":15799782,"title":"MAPPER: a search engine for the computational identification of putative transcription factor binding sites in multiple genomes.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-79","authors":"Marinescu VD., Kohane IS., Riva A.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-79","created_at":"2021-09-30T08:22:30.739Z","updated_at":"2021-09-30T08:22:30.739Z"},{"id":96,"pubmed_id":15608292,"title":"The MAPPER database: a multi-genome catalog of putative transcription factor binding sites.","year":2004,"url":"http://doi.org/10.1093/nar/gki103","authors":"Marinescu VD., Kohane IS., Riva A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki103","created_at":"2021-09-30T08:22:30.825Z","updated_at":"2021-09-30T08:22:30.825Z"}],"licence_links":[],"grants":[{"id":189,"fairsharing_record_id":1603,"organisation_id":3054,"relation":"funds","created_at":"2021-09-30T09:24:21.778Z","updated_at":"2021-09-30T09:24:21.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":3054,"name":"University of Florida","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":190,"fairsharing_record_id":1603,"organisation_id":3055,"relation":"maintains","created_at":"2021-09-30T09:24:21.805Z","updated_at":"2021-09-30T09:24:21.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":3055,"name":"University of Florida, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1604","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:31:41.144Z","metadata":{"doi":"10.25504/FAIRsharing.a1rp4c","name":"MetaBase - The wiki-database of biological databases","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@metabase.net"}],"homepage":"http://www.Metabase.net","identifier":1604,"description":"MetaBase is the community-curated collection of all biological databases for use by the research community as a source of reliable information.","abbreviation":"MB","data_curation":{"type":"not found"},"year_creation":2007,"data_versioning":"yes","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000059","bsg-d000059"],"name":"FAIRsharing record for: MetaBase - The wiki-database of biological databases","abbreviation":"MB","url":"https://fairsharing.org/10.25504/FAIRsharing.a1rp4c","doi":"10.25504/FAIRsharing.a1rp4c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaBase is the community-curated collection of all biological databases for use by the research community as a source of reliable information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Resource metadata"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Costa Rica","El Salvador","Honduras","Mexico","Nicaragua","Panama"],"publications":[{"id":2533,"pubmed_id":22139927,"title":"MetaBase--the wiki-database of biological databases.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1099","authors":"Bolser DM,Chibon PY,Palopoli N,Gong S,Jacob D,Del Angel VD,Swan D,Bassi S,Gonzalez V,Suravajhala P,Hwang S,Romano P,Edwards R,Bishop B,Eargle J,Shtatland T,Provart NJ,Clements D,Renfro DP,Bhak D,Bhak J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1099","created_at":"2021-09-30T08:27:10.749Z","updated_at":"2021-09-30T11:29:38.763Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1605","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:01.149Z","metadata":{"doi":"10.25504/FAIRsharing.wdbd3r","name":"MetaCrop 2.0","status":"ready","contacts":[{"contact_name":"Falk Schreiber","contact_email":"schreibe@ipk-gatersleben.de"}],"homepage":"http://metacrop.ipk-gatersleben.de","citations":[],"identifier":1605,"description":"The MetaCrop resource contains information on the major metabolic pathways mainly in crops of agricultural and economic importance. The database includes manually curated information on reactions and the kinetic data associated with these reactions. Ontology terms are used and publication identification available to ease mining the data.","abbreviation":"MetaCrop 2.0","data_curation":{"url":"https://metacrop.ipk-gatersleben.de/apex/f?p=269:2::::::","type":"manual"},"support_links":[{"url":"https://metacrop.ipk-gatersleben.de/apex/f?p=269:2::::::","name":"About","type":"Help documentation"},{"url":"https://metacrop.ipk-gatersleben.de/apex/METACROP.download_additional_file?file_id=12872411885275412","name":"Tutorial","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010123","name":"re3data:r3d100010123","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003100","name":"SciCrunch:RRID:SCR_003100","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000060","bsg-d000060"],"name":"FAIRsharing record for: MetaCrop 2.0","abbreviation":"MetaCrop 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.wdbd3r","doi":"10.25504/FAIRsharing.wdbd3r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MetaCrop resource contains information on the major metabolic pathways mainly in crops of agricultural and economic importance. The database includes manually curated information on reactions and the kinetic data associated with these reactions. Ontology terms are used and publication identification available to ease mining the data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Reaction data","Kinetic model","Cellular component","Biological process","Pathway model"],"taxonomies":["Arabidopsis thaliana","Beta vulgaris","Brassica napus","Hordeum vulgare","Medicago truncatula","Oryza sativa","Solanum tuberosum","Triticum aestivum","Zea mays"],"user_defined_tags":["Stoichiometry"],"countries":["Germany"],"publications":[{"id":85,"pubmed_id":17933764,"title":"MetaCrop: a detailed database of crop plant metabolism.","year":2007,"url":"http://doi.org/10.1093/nar/gkm835","authors":"Grafahrend-Belau E., Weise S., Koschützki D., Scholz U., Junker BH., Schreiber F.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm835","created_at":"2021-09-30T08:22:29.190Z","updated_at":"2021-09-30T08:22:29.190Z"},{"id":87,"pubmed_id":20375443,"title":"Novel developments of the MetaCrop information system for facilitating systems biological approaches.","year":2010,"url":"http://doi.org/10.2390/biecoll-jib-2010-125","authors":"Hippe K., Colmsee C., Czauderna T., Grafahrend-Belau E., Junker BH., Klukas C., Scholz U., Schreiber F., Weise S.,","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2010-125","created_at":"2021-09-30T08:22:29.997Z","updated_at":"2021-09-30T08:22:29.997Z"},{"id":1374,"pubmed_id":17059592,"title":"Meta-All: a system for managing metabolic pathway information.","year":2006,"url":"http://doi.org/10.1186/1471-2105-7-465","authors":"Weise S., Grosse I., Klukas C., Koschützki D., Scholz U., Schreiber F., Junker BH.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-465","created_at":"2021-09-30T08:24:53.685Z","updated_at":"2021-09-30T08:24:53.685Z"},{"id":2185,"pubmed_id":22086948,"title":"MetaCrop 2.0: managing and exploring information about crop plant metabolism.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1004","authors":"Schreiber F,Colmsee C,Czauderna T,Grafahrend-Belau E,Hartmann A,Junker A,Junker BH,Klapperstuck M,Scholz U,Weise S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1004","created_at":"2021-09-30T08:26:26.356Z","updated_at":"2021-09-30T11:29:30.795Z"}],"licence_links":[],"grants":[{"id":192,"fairsharing_record_id":1605,"organisation_id":1702,"relation":"maintains","created_at":"2021-09-30T09:24:21.855Z","updated_at":"2021-09-30T09:24:21.855Z","grant_id":null,"is_lead":false,"saved_state":{"id":1702,"name":"Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9367,"fairsharing_record_id":1605,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.511Z","updated_at":"2022-04-11T12:07:33.529Z","grant_id":1140,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"0312706A","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1606","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:45:32.174Z","metadata":{"doi":"10.25504/FAIRsharing.bv0zjz","name":"Mimotope Database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"hj@uestc.edu.cn"}],"homepage":"http://immunet.cn/mimodb","identifier":1606,"description":"Mimotope database, active site-mimicking peptides selected from phage-display libraries. It is a database which stores information on peptides that have been selected from random peptide libraries based on their ability to bind small compounds, nucleic acids, proteins, cells, tissues, organs, and even entire organisms through phage display technology. Besides the peptide sequences, other information such as the corresponding target, template, library, and structures are also stored. All entries are manually extracted from published peer review articles and other public data sources such as Uniprot, GenBank and PDBSum.","abbreviation":"MimoDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://immunet.cn/bdb/index.php/site/contact","type":"Contact form"},{"url":"http://immunet.cn/mimodb/help.php","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","deprecation_date":"2021-02-08","deprecation_reason":"This resource is no longer available","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000062","bsg-d000062"],"name":"FAIRsharing record for: Mimotope Database","abbreviation":"MimoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bv0zjz","doi":"10.25504/FAIRsharing.bv0zjz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mimotope database, active site-mimicking peptides selected from phage-display libraries. It is a database which stores information on peptides that have been selected from random peptide libraries based on their ability to bind small compounds, nucleic acids, proteins, cells, tissues, organs, and even entire organisms through phage display technology. Besides the peptide sequences, other information such as the corresponding target, template, library, and structures are also stored. All entries are manually extracted from published peer review articles and other public data sources such as Uniprot, GenBank and PDBSum.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Peptide library","Target"],"taxonomies":["All"],"user_defined_tags":["Template library"],"countries":["China"],"publications":[{"id":98,"pubmed_id":21079566,"title":"MimoDB: a new repository for mimotope data derived from phage display technology.","year":2010,"url":"http://doi.org/10.3390/molecules15118279","authors":"Ru B., Huang J., Dai P., Li S., Xia Z., Ding H., Lin H., Guo F., Wang X.,","journal":"Molecules","doi":"10.3390/molecules15118279","created_at":"2021-09-30T08:22:31.030Z","updated_at":"2021-09-30T08:22:31.030Z"},{"id":754,"pubmed_id":22053087,"title":"MimoDB 2.0: a mimotope database and beyond.","year":2011,"url":"http://doi.org/10.1093/nar/gkr922","authors":"Huang J,Ru B,Zhu P,Nie F,Yang J,Wang X,Dai P,Lin H,Guo FB,Rao N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr922","created_at":"2021-09-30T08:23:43.019Z","updated_at":"2021-09-30T11:28:49.934Z"},{"id":1863,"pubmed_id":26503249,"title":"BDB: biopanning data bank.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1100","authors":"He B,Chai G,Duan Y,Yan Z,Qiu L,Zhang H,Liu Z,He Q,Han K,Ru B,Guo FB,Ding H,Lin H,Wang X,Rao N,Zhou P,Huang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1100","created_at":"2021-09-30T08:25:49.345Z","updated_at":"2021-09-30T11:29:21.568Z"}],"licence_links":[],"grants":[{"id":194,"fairsharing_record_id":1606,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:21.927Z","updated_at":"2021-09-30T09:29:48.079Z","grant_id":410,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"61071177","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":195,"fairsharing_record_id":1606,"organisation_id":2525,"relation":"funds","created_at":"2021-09-30T09:24:21.966Z","updated_at":"2021-09-30T09:31:33.435Z","grant_id":1223,"is_lead":false,"saved_state":{"id":2525,"name":"Scientific Research Foundation of UESTC for Youth","grant":"JX0769","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8163,"fairsharing_record_id":1606,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:16.918Z","updated_at":"2021-09-30T09:31:16.960Z","grant_id":1100,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"30600138","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1607","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:39.851Z","metadata":{"doi":"10.25504/FAIRsharing.wqtfkv","name":"MINAS - A Database of Metal Ions in Nucleic AcidS","status":"uncertain","contacts":[{"contact_name":"Joachim Schnabl","contact_email":"joachim.schnabl@aci.uzh.ch","contact_orcid":"0000-0003-2452-9892"}],"homepage":"http://www.minas.uzh.ch","citations":[],"identifier":1607,"description":"MINAS contains the exact geometric information on the first and second-shell coordinating ligands of every metal ion present in nucleic acid structures that are deposited in the PDB and NDB. Containing also the sequence information of the binding pocket-proximal nucleotides, this database allows for a detailed search of all combinations of potential ligands and of coordination environments of metal ions. MINAS is therefore a perfect new tool to classify metal ion binding pockets in nucleic acids by statistics and to draw general conclusions about the different coordination properties of these ions. This record has been marked as Uncertain because the homepage for this resource is no longer active, and we have not been able to get in touch with the owners of the resource. Please contact us if you have any information regarding MINAS.","abbreviation":"MINAS","data_curation":{"type":"manual"},"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000063","bsg-d000063"],"name":"FAIRsharing record for: MINAS - A Database of Metal Ions in Nucleic AcidS","abbreviation":"MINAS","url":"https://fairsharing.org/10.25504/FAIRsharing.wqtfkv","doi":"10.25504/FAIRsharing.wqtfkv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINAS contains the exact geometric information on the first and second-shell coordinating ligands of every metal ion present in nucleic acid structures that are deposited in the PDB and NDB. Containing also the sequence information of the binding pocket-proximal nucleotides, this database allows for a detailed search of all combinations of potential ligands and of coordination environments of metal ions. MINAS is therefore a perfect new tool to classify metal ion binding pockets in nucleic acids by statistics and to draw general conclusions about the different coordination properties of these ions. This record has been marked as Uncertain because the homepage for this resource is no longer active, and we have not been able to get in touch with the owners of the resource. Please contact us if you have any information regarding MINAS.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11759}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science"],"domains":["Atomic coordinate","Deoxyribonucleic acid","Ligand","Metal ion binding","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":102,"pubmed_id":20047851,"title":"Controlling ribozyme activity by metal ions.","year":2010,"url":"http://doi.org/10.1016/j.cbpa.2009.11.024","authors":"Schnabl J., Sigel RK.,","journal":"Curr Opin Chem Biol","doi":"10.1016/j.cbpa.2009.11.024","created_at":"2021-09-30T08:22:31.414Z","updated_at":"2021-09-30T08:22:31.414Z"},{"id":2282,"pubmed_id":null,"title":"Digitoxin metabolism by rat liver microsomes.","year":1975,"url":"http://doi.org/DOI:10.1016/j.ccr.2007.03.008","authors":"Schmoldt A., Benthe HF., Haberland G.,","journal":"Biochem. Pharmacol.","doi":"DOI:10.1016/j.ccr.2007.03.008","created_at":"2021-09-30T08:26:37.992Z","updated_at":"2021-09-30T08:26:37.992Z"}],"licence_links":[],"grants":[{"id":197,"fairsharing_record_id":1607,"organisation_id":690,"relation":"maintains","created_at":"2021-09-30T09:24:22.044Z","updated_at":"2021-09-30T09:24:22.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":690,"name":"Department of Chemistry (UZH Chemistry), University of Zurich, Zurich, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":196,"fairsharing_record_id":1607,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:24:22.002Z","updated_at":"2021-09-30T09:31:46.101Z","grant_id":1318,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"RKOS PP002-68733/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1608","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:27:35.536Z","metadata":{"doi":"10.25504/FAIRsharing.cjk54e","name":"Minimotif Miner 3.0","status":"deprecated","contacts":[{"contact_name":"Tian Mi","contact_email":"tian.mi@engr.uconn.edu"}],"homepage":"http://minimotifminer.org","citations":[],"identifier":1608,"description":"A database of short functional motifs involved in posttranslational modifications, binding to other proteins, nucleic acids, or small molecules.","abbreviation":"MnM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bio-toolkit.com/Minimotif%20Miner/screen_cast/","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Minimotif_Miner","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2022-06-30","deprecation_reason":"The project homepage is no longer valid, and an alternative cannot be found. Please get in touch with us if you have any questions.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000064","bsg-d000064"],"name":"FAIRsharing record for: Minimotif Miner 3.0","abbreviation":"MnM","url":"https://fairsharing.org/10.25504/FAIRsharing.cjk54e","doi":"10.25504/FAIRsharing.cjk54e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database of short functional motifs involved in posttranslational modifications, binding to other proteins, nucleic acids, or small molecules.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["PTM site prediction","Protein interaction","Protein modification","Protein","Sequence"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":47,"pubmed_id":20808856,"title":"Partitioning of minimotifs based on function with improved prediction accuracy.","year":2010,"url":"http://doi.org/10.1371/journal.pone.0012276","authors":"Rajasekaran S., Mi T., Merlin JC., Oommen A., Gradie P., Schiller MR.,","journal":"PLoS ONE","doi":"10.1371/journal.pone.0012276","created_at":"2021-09-30T08:22:25.438Z","updated_at":"2021-09-30T08:22:25.438Z"},{"id":88,"pubmed_id":16489333,"title":"Minimotif Miner: a tool for investigating protein function.","year":2006,"url":"http://doi.org/10.1038/nmeth856","authors":"Balla S., Thapar V., Verma S., Luong T., Faghri T., Huang CH., Rajasekaran S., del Campo JJ., Shinn JH., Mohler WA., Maciejewski MW., Gryk MR., Piccirillo B., Schiller SR., Schiller MR.,","journal":"Nat. Methods","doi":"10.1038/nmeth856","created_at":"2021-09-30T08:22:30.089Z","updated_at":"2021-09-30T08:22:30.089Z"},{"id":89,"pubmed_id":18429315,"title":"Minimotif miner: a computational tool to investigate protein function, disease, and genetic diversity.","year":2008,"url":"http://doi.org/10.1002/0471140864.ps0212s48","authors":"Schiller MR.,","journal":"Curr Protoc Protein Sci","doi":"10.1002/0471140864.ps0212s48","created_at":"2021-09-30T08:22:30.183Z","updated_at":"2021-09-30T08:22:30.183Z"},{"id":93,"pubmed_id":18508672,"title":"Viral infection and human disease--insights from minimotifs.","year":2008,"url":"http://doi.org/10.2741/3166","authors":"Kadaveru K., Vyas J., Schiller MR.,","journal":"Front. Biosci.","doi":"10.2741/3166","created_at":"2021-09-30T08:22:30.555Z","updated_at":"2021-09-30T08:22:30.555Z"},{"id":94,"pubmed_id":19656396,"title":"A proposed syntax for Minimotif Semantics, version 1.","year":2009,"url":"http://doi.org/10.1186/1471-2164-10-360","authors":"Vyas J., Nowling RJ., Maciejewski MW., Rajasekaran S., Gryk MR., Schiller MR.,","journal":"BMC Genomics","doi":"10.1186/1471-2164-10-360","created_at":"2021-09-30T08:22:30.646Z","updated_at":"2021-09-30T08:22:30.646Z"},{"id":110,"pubmed_id":20938975,"title":"A computational tool for identifying minimotifs in protein-protein interactions and improving the accuracy of minimotif predictions.","year":2010,"url":"http://doi.org/10.1002/prot.22868","authors":"Rajasekaran S., Merlin JC., Kundeti V., Mi T., Oommen A., Vyas J., Alaniz I., Chung K., Chowdhury F., Deverasatty S., Irvey TM., Lacambacal D., Lara D., Panchangam S., Rathnayake V., Watts P., Schiller MR.,","journal":"Proteins","doi":"10.1002/prot.22868","created_at":"2021-09-30T08:22:32.181Z","updated_at":"2021-09-30T08:22:32.181Z"},{"id":748,"pubmed_id":22146221,"title":"Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences","year":2011,"url":"http://doi.org/10.1093/nar/gkr1189","authors":"Mi T, Merlin JC, Deverasetty S, Gryk MR, Bill TJ, Brooks AW, Lee LY, Rathnayake V, Ross CA, Sargeant DP, Strong CL, Watts P, Rajasekaran S, Schiller MR.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1189","created_at":"2021-09-30T08:23:42.370Z","updated_at":"2021-09-30T08:23:42.370Z"},{"id":1389,"pubmed_id":18978024,"title":"Minimotif miner 2nd release: a database and web system for motif search.","year":2008,"url":"http://doi.org/10.1093/nar/gkn865","authors":"Rajasekaran S., Balla S., Gradie P., Gryk MR., Kadaveru K., Kundeti V., Maciejewski MW., Mi T., Rubino N., Vyas J., Schiller MR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn865","created_at":"2021-09-30T08:24:55.276Z","updated_at":"2021-09-30T08:24:55.276Z"},{"id":1390,"pubmed_id":16328946,"title":"High-performance exact algorithms for motif search.","year":2005,"url":"http://doi.org/10.1007/s10877-005-0677-y","authors":"Rajasekaran S., Balla S., Huang CH., Thapar V., Gryk M., Maciejewski M., Schiller M.,","journal":"J Clin Monit Comput","doi":"10.1007/s10877-005-0677-y","created_at":"2021-09-30T08:24:55.376Z","updated_at":"2021-09-30T08:24:55.376Z"}],"licence_links":[{"licence_name":"MIRTAR is free for academic and non-profit use","licence_id":516,"licence_url":"http://mirtarbase.mbc.nctu.edu.tw/cache/download/LICENSE","link_id":140,"relation":"undefined"}],"grants":[{"id":200,"fairsharing_record_id":1608,"organisation_id":3045,"relation":"maintains","created_at":"2021-09-30T09:24:22.156Z","updated_at":"2021-09-30T09:24:22.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":3045,"name":"University of Connecticut, Connecticut, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":198,"fairsharing_record_id":1608,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:24:22.085Z","updated_at":"2021-09-30T09:24:22.085Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":199,"fairsharing_record_id":1608,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:22.123Z","updated_at":"2021-09-30T09:24:22.123Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":201,"fairsharing_record_id":1608,"organisation_id":3046,"relation":"maintains","created_at":"2021-09-30T09:24:22.180Z","updated_at":"2021-09-30T09:24:22.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":3046,"name":"University of Connecticut Health Center, Farmington, Connecticut, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":202,"fairsharing_record_id":1608,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:22.205Z","updated_at":"2021-09-30T09:30:12.488Z","grant_id":599,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM079689-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1620","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:19.720Z","metadata":{"doi":"10.25504/FAIRsharing.hmb1f4","name":"NONCODE","status":"uncertain","contacts":[{"contact_email":"biozy@ict.ac.cn"}],"homepage":"http://www.noncode.org","citations":[{"doi":"10.1093/nar/gkx1107","pubmed_id":29140524,"publication_id":2814}],"identifier":1620,"description":"NONCODE is a database of noncoding RNAs (except tRNAs and rRNAs), including long noncoding (lnc) RNAs. Information contained within the database includes human lncRNA–disease relationships and single nucleotide polymorphism-lncRNA–disease relationships; human exosome lncRNA expression profiles; and predicted RNA secondary structures of human transcripts. This resource has not been updated since 2017, and therefore its status has been marked as Uncertain. Please get in touch if you have any information about the current status of this resource.","abbreviation":"NONCODE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"rschen@ibp.ac.cn","name":"RunSheng Chen","type":"Support email"},{"url":"http://www.noncode.org/faq.php","name":"NONCODE FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.noncode.org/analysis.php","name":"Statistics","type":"Help documentation"},{"url":"http://www.noncode.org/introduce.php","name":"General Documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/NONCODE","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"http://www.noncode.org/blast.php","name":"BLAST"},{"url":"http://www.noncode.org/id_conversion.php","name":"ID Convertor"},{"url":"http://www.noncode.org/iLncRNA.php","name":"iLncRNA (Idenfication)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012169","name":"re3data:r3d100012169","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007822","name":"SciCrunch:RRID:SCR_007822","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000076","bsg-d000076"],"name":"FAIRsharing record for: NONCODE","abbreviation":"NONCODE","url":"https://fairsharing.org/10.25504/FAIRsharing.hmb1f4","doi":"10.25504/FAIRsharing.hmb1f4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NONCODE is a database of noncoding RNAs (except tRNAs and rRNAs), including long noncoding (lnc) RNAs. Information contained within the database includes human lncRNA–disease relationships and single nucleotide polymorphism-lncRNA–disease relationships; human exosome lncRNA expression profiles; and predicted RNA secondary structures of human transcripts. This resource has not been updated since 2017, and therefore its status has been marked as Uncertain. Please get in touch if you have any information about the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12587}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics"],"domains":["RNA secondary structure","Expression data","RNA sequence","Function analysis","Gene expression","Extracellular exosome","Long non-coding ribonucleic acid","Non-coding RNA","Long non-coding RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":111,"pubmed_id":15608158,"title":"NONCODE: an integrated knowledge database of non-coding RNAs.","year":2004,"url":"http://doi.org/10.1093/nar/gki041","authors":"Liu C., Bai B., Skogerbø G., Cai L., Deng W., Zhang Y., Bu D., Zhao Y., Chen R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki041","created_at":"2021-09-30T08:22:32.282Z","updated_at":"2021-09-30T08:22:32.282Z"},{"id":114,"pubmed_id":18000000,"title":"NONCODE v2.0: decoding the non-coding.","year":2007,"url":"http://doi.org/10.1093/nar/gkm1011","authors":"He S., Liu C., Skogerbø G., Zhao H., Wang J., Liu T., Bai B., Zhao Y., Chen R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm1011","created_at":"2021-09-30T08:22:32.673Z","updated_at":"2021-09-30T08:22:32.673Z"},{"id":2813,"pubmed_id":26586799,"title":"NONCODE 2016: an informative and valuable data source of long non-coding RNAs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1252","authors":"Zhao Y,Li H,Fang S,Kang Y,Wu W,Hao Y,Li Z,Bu D,Sun N,Zhang MQ,Chen R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1252","created_at":"2021-09-30T08:27:45.894Z","updated_at":"2021-09-30T11:29:45.820Z"},{"id":2814,"pubmed_id":29140524,"title":"NONCODEV5: a comprehensive annotation database for long non-coding RNAs.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1107","authors":"Fang S,Zhang L,Guo J,Niu Y,Wu Y,Li H,Zhao L,Li X,Teng X,Sun X,Sun L,Zhang MQ,Chen R,Zhao Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1107","created_at":"2021-09-30T08:27:46.010Z","updated_at":"2021-09-30T11:29:46.019Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":692,"relation":"undefined"}],"grants":[{"id":249,"fairsharing_record_id":1620,"organisation_id":244,"relation":"maintains","created_at":"2021-09-30T09:24:23.783Z","updated_at":"2021-09-30T09:24:23.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":244,"name":"Bioinformatics Laboratory, Institute of Biophysics, Chinese Academy of Sciences (CAS), Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":247,"fairsharing_record_id":1620,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:24:23.707Z","updated_at":"2021-09-30T09:29:11.411Z","grant_id":132,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2014AA021103","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":248,"fairsharing_record_id":1620,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:24:23.751Z","updated_at":"2021-09-30T09:30:37.356Z","grant_id":794,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA01020402","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":251,"fairsharing_record_id":1620,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:24:23.839Z","updated_at":"2021-09-30T09:24:23.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":250,"fairsharing_record_id":1620,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:23.815Z","updated_at":"2021-09-30T09:30:28.573Z","grant_id":727,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"91229120","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8021,"fairsharing_record_id":1620,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:26.495Z","updated_at":"2021-09-30T09:30:26.541Z","grant_id":712,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2014AA021502","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1621","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:56:21.963Z","metadata":{"doi":"10.25504/FAIRsharing.8ecbxx","name":"NucleaRDB","status":"deprecated","contacts":[{"contact_name":"Florence Horn","contact_email":"horn@cmpharm.ucsf.edu"}],"homepage":"http://www.receptors.org/nucleardb","identifier":1621,"description":"Families of nuclear hormone receptors","abbreviation":"NucleaRDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://en.wikipedia.org/wiki/NucleaRDB","type":"Wikipedia"}],"year_creation":2000,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000077","bsg-d000077"],"name":"FAIRsharing record for: NucleaRDB","abbreviation":"NucleaRDB","url":"https://fairsharing.org/10.25504/FAIRsharing.8ecbxx","doi":"10.25504/FAIRsharing.8ecbxx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Families of nuclear hormone receptors","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science"],"domains":["Sequence annotation","Multiple sequence alignment","Ligand binding domain binding","Mutation analysis","Nuclear receptor","Structure","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":119,"pubmed_id":11125133,"title":"Collecting and harvesting biological data: the GPCRDB and NucleaRDB information systems.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.346","authors":"Horn F., Vriend G., Cohen FE.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.346","created_at":"2021-09-30T08:22:33.155Z","updated_at":"2021-09-30T08:22:33.155Z"},{"id":875,"pubmed_id":22064856,"title":"NucleaRDB: information system for nuclear receptors.","year":2011,"url":"http://doi.org/10.1093/nar/gkr960","authors":"Vroling B,Thorne D,McDermott P,Joosten HJ,Attwood TK,Pettifer S,Vriend G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr960","created_at":"2021-09-30T08:23:56.618Z","updated_at":"2021-09-30T11:28:54.542Z"}],"licence_links":[],"grants":[{"id":253,"fairsharing_record_id":1621,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:24:23.890Z","updated_at":"2021-09-30T09:30:17.021Z","grant_id":636,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"11371016","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7997,"fairsharing_record_id":1621,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:18.677Z","updated_at":"2021-09-30T09:30:18.723Z","grant_id":650,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"11301194","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":252,"fairsharing_record_id":1621,"organisation_id":3035,"relation":"maintains","created_at":"2021-09-30T09:24:23.865Z","updated_at":"2021-09-30T09:24:23.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":3035,"name":"University of California, San Francisco, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1622","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:03.242Z","metadata":{"doi":"10.25504/FAIRsharing.hsy066","name":"Online GEne Essentiality database","status":"ready","contacts":[{"contact_name":"Wei-Hua Chen","contact_email":"weihuachen@hust.edu.cn"}],"homepage":"https://v3.ogee.info/#/home","citations":[],"identifier":1622,"description":"OGEE is an Online GEne Essentiality database. Gene essentiality is not a static and binary property, rather a context-dependent and evolvable property in all forms of life. In OGEE, we collect not only experimentally tested essential and non-essential genes, but also associated gene properties that contributes to gene essentiality.","abbreviation":"OGEE","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://v3.ogee.info/#/help","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000078","bsg-d000078"],"name":"FAIRsharing record for: Online GEne Essentiality database","abbreviation":"OGEE","url":"https://fairsharing.org/10.25504/FAIRsharing.hsy066","doi":"10.25504/FAIRsharing.hsy066","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OGEE is an Online GEne Essentiality database. Gene essentiality is not a static and binary property, rather a context-dependent and evolvable property in all forms of life. In OGEE, we collect not only experimentally tested essential and non-essential genes, but also associated gene properties that contributes to gene essentiality.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12588}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Text mining","Publication","Curated information"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":1805,"pubmed_id":27799467,"title":"OGEE v2: an update of the online gene essentiality database with special focus on differentially essential genes in human cancer cell lines.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1013","authors":"Chen WH,Lu G,Chen X,Zhao XM,Bork P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1013","created_at":"2021-09-30T08:25:42.653Z","updated_at":"2021-09-30T11:29:21.002Z"},{"id":3338,"pubmed_id":null,"title":"OGEE v3: Online GEne Essentiality database with increased coverage of organisms and human cell lines","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa884","authors":"Gurumayum, Sanathoi; Jiang, Puzi; Hao, Xiaowen; Campos, Tulio L; Young, Neil D; Korhonen, Pasi K; Gasser, Robin B; Bork, Peer; Zhao, Xing-Ming; He, Li-jie; Chen, Wei-Hua; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa884","created_at":"2022-04-29T14:18:11.212Z","updated_at":"2022-04-29T14:18:11.212Z"},{"id":3339,"pubmed_id":null,"title":"OGEE: an online gene essentiality database","year":2011,"url":"http://dx.doi.org/10.1093/nar/gkr986","authors":"Chen, Wei-Hua; Minguez, Pablo; Lercher, Martin J.; Bork, Peer; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr986","created_at":"2022-04-29T14:18:48.480Z","updated_at":"2022-04-29T14:18:48.480Z"}],"licence_links":[],"grants":[{"id":9478,"fairsharing_record_id":1622,"organisation_id":3497,"relation":"maintains","created_at":"2022-04-29T14:21:03.431Z","updated_at":"2022-04-29T14:21:03.431Z","grant_id":null,"is_lead":true,"saved_state":{"id":3497,"name":"College of Life Science, Henan Normal University","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1609","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:25:54.457Z","metadata":{"doi":"10.25504/FAIRsharing.2bdvmk","name":"Molecular INTeraction Database","status":"ready","contacts":[{"contact_name":"Luana Licata","contact_email":"luana.licata@gmail.com","contact_orcid":"0000-0001-5084-9000"}],"homepage":"http://mint.bio.uniroma2.it","citations":[{"doi":"10.1093/nar/gkr930","pubmed_id":22096227,"publication_id":1747}],"identifier":1609,"description":"MINT focuses on experimentally verified protein-protein interactions mined from the scientific literature by expert curators. This resource uses the IntAct database framework to help reduce the effort of scientists and improve on IT development. MINT is an ELIXIR Core Resource.","abbreviation":"MINT","data_curation":{"type":"manual"},"support_links":[{"url":"mint@mint.bio.uniroma2.it","name":"MINT Helpdesk","type":"Support email"},{"url":"https://mint.bio.uniroma2.it/index.php/statistics/","name":"Statistics","type":"Help documentation"},{"url":"https://mint.bio.uniroma2.it/index.php/sample-page/","name":"About MINT","type":"Help documentation"},{"url":"https://twitter.com/MINT_database","type":"Twitter"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://www.ebi.ac.uk/Tools/webservices/psicquic/view/main.xhtml","name":"PSICQUIC"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010414","name":"re3data:r3d100010414","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001523","name":"SciCrunch:RRID:SCR_001523","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000065","bsg-d000065"],"name":"FAIRsharing record for: Molecular INTeraction Database","abbreviation":"MINT","url":"https://fairsharing.org/10.25504/FAIRsharing.2bdvmk","doi":"10.25504/FAIRsharing.2bdvmk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MINT focuses on experimentally verified protein-protein interactions mined from the scientific literature by expert curators. This resource uses the IntAct database framework to help reduce the effort of scientists and improve on IT development. MINT is an ELIXIR Core Resource.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11212},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11321},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11831},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12155},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13375}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein interaction","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":262,"pubmed_id":11911893,"title":"MINT: a Molecular INTeraction database.","year":2002,"url":"http://doi.org/10.1016/s0014-5793(01)03293-8","authors":"Zanzoni A., Montecchi-Palazzi L., Quondam M., Ausiello G., Helmer-Citterich M., Cesareni G.,","journal":"FEBS Lett.","doi":"10.1016/s0014-5793(01)03293-8","created_at":"2021-09-30T08:22:48.303Z","updated_at":"2021-09-30T08:22:48.303Z"},{"id":264,"pubmed_id":17135203,"title":"MINT: the Molecular INTeraction database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl950","authors":"Chatr-aryamontri A., Ceol A., Palazzi LM., Nardelli G., Schneider MV., Castagnoli L., Cesareni G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl950","created_at":"2021-09-30T08:22:48.541Z","updated_at":"2021-09-30T08:22:48.541Z"},{"id":918,"pubmed_id":19897547,"title":"MINT, the molecular interaction database: 2009 update.","year":2009,"url":"http://doi.org/10.1093/nar/gkp983","authors":"Ceol A., Chatr Aryamontri A., Licata L., Peluso D., Briganti L., Perfetto L., Castagnoli L., Cesareni G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp983","created_at":"2021-09-30T08:24:01.371Z","updated_at":"2021-09-30T08:24:01.371Z"},{"id":1747,"pubmed_id":22096227,"title":"MINT, the molecular interaction database: 2012 update.","year":2011,"url":"http://doi.org/10.1093/nar/gkr930","authors":"Licata L,Briganti L,Peluso D,Perfetto L,Iannuccelli M,Galeota E,Sacco F,Palma A,Nardozza AP,Santonico E,Castagnoli L,Cesareni G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr930","created_at":"2021-09-30T08:25:36.060Z","updated_at":"2021-09-30T11:29:19.669Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.5 Generic (CC BY 2.5)","licence_id":161,"licence_url":"https://creativecommons.org/licenses/by/2.5/","link_id":149,"relation":"undefined"}],"grants":[{"id":206,"fairsharing_record_id":1609,"organisation_id":1316,"relation":"maintains","created_at":"2021-09-30T09:24:22.343Z","updated_at":"2021-09-30T09:24:22.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":1316,"name":"IMex Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":209,"fairsharing_record_id":1609,"organisation_id":844,"relation":"maintains","created_at":"2021-09-30T09:24:22.465Z","updated_at":"2021-09-30T09:24:22.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":204,"fairsharing_record_id":1609,"organisation_id":679,"relation":"maintains","created_at":"2021-09-30T09:24:22.262Z","updated_at":"2021-09-30T09:24:22.262Z","grant_id":null,"is_lead":true,"saved_state":{"id":679,"name":"Department of Biology, University of Rome Tor Vergata, Rome, Italy","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":208,"fairsharing_record_id":1609,"organisation_id":946,"relation":"funds","created_at":"2021-09-30T09:24:22.427Z","updated_at":"2021-09-30T09:24:22.427Z","grant_id":null,"is_lead":false,"saved_state":{"id":946,"name":"European Network of Excellence (ENFIN), Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":203,"fairsharing_record_id":1609,"organisation_id":1565,"relation":"funds","created_at":"2021-09-30T09:24:22.229Z","updated_at":"2021-09-30T09:29:32.470Z","grant_id":291,"is_lead":false,"saved_state":{"id":1565,"name":"Italian Association for Cancer Research (AIRC), Milan, Italy","grant":"10360","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":207,"fairsharing_record_id":1609,"organisation_id":961,"relation":"funds","created_at":"2021-09-30T09:24:22.386Z","updated_at":"2021-09-30T09:30:13.695Z","grant_id":609,"is_lead":false,"saved_state":{"id":961,"name":"European Union FP6 Interaction Proteome project","grant":"QLRI-CT-2000-00127","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9051,"fairsharing_record_id":1609,"organisation_id":2727,"relation":"funds","created_at":"2022-03-28T14:16:27.546Z","updated_at":"2022-03-28T14:16:27.546Z","grant_id":539,"is_lead":false,"saved_state":{"id":2727,"name":"Telethon Foundation","grant":"GGP09243","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWtFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--510c15975dc1230980be8f18f0a605fb9b71ac9f/cropped-mint-1-e1509905882312.png?disposition=inline","exhaustive_licences":false}},{"id":"1610","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:25.264Z","metadata":{"doi":"10.25504/FAIRsharing.yd76dk","name":"Major Intrinsic Proteins Modification Database","status":"ready","contacts":[{"contact_name":"R. SankaraRamakrishnan","contact_email":"rsankar@iitk.ac.in"}],"homepage":"http://bioinfo.iitk.ac.in/MIPModDB/","citations":[{"doi":"10.1093/nar/gkr914","pubmed_id":22080560,"publication_id":2418}],"identifier":1610,"description":"This is a database of comparative protein structure models of the MIP (Major Intrinsic Protein) family of proteins. The MIPs have been identified from the completed genome sequence of organisms available at NCBI.","abbreviation":"MIPModDB","data_curation":{"url":"http://bioinfo.iitk.ac.in/MIPModDB/index.html","type":"automated","notes":"The structural models of MIP proteins were created by defined protocol."},"support_links":[{"url":"http://bioinfo.iitk.ac.in/MIPModDB/feedback.html","name":"Contact Form","type":"Contact form"},{"url":"http://bioinfo.iitk.ac.in/MIPModDB/help.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://bioinfo.iitk.ac.in/MIPModDB/statistics.php","name":"Statistics","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/MIPModDB","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":2007,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000066","bsg-d000066"],"name":"FAIRsharing record for: Major Intrinsic Proteins Modification Database","abbreviation":"MIPModDB","url":"https://fairsharing.org/10.25504/FAIRsharing.yd76dk","doi":"10.25504/FAIRsharing.yd76dk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a database of comparative protein structure models of the MIP (Major Intrinsic Protein) family of proteins. The MIPs have been identified from the completed genome sequence of organisms available at NCBI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenetics","Life Science"],"domains":["Structure-based sequence alignment","Gene feature","Gene","Homologous"],"taxonomies":["All"],"user_defined_tags":["Channel radius profile","NPA substitution","Selectively filter residues"],"countries":["India"],"publications":[{"id":1317,"pubmed_id":19930558,"title":"Genome-wide analysis of major intrinsic proteins in the tree plant Populus trichocarpa: characterization of XIP subfamily of aquaporins from evolutionary perspective.","year":2009,"url":"http://doi.org/10.1186/1471-2229-9-134","authors":"Gupta AB., Sankararamakrishnan R.,","journal":"BMC Plant Biol.","doi":"10.1186/1471-2229-9-134","created_at":"2021-09-30T08:24:47.126Z","updated_at":"2021-09-30T08:24:47.126Z"},{"id":1948,"pubmed_id":17445256,"title":"Homology modeling of major intrinsic proteins in rice, maize and Arabidopsis: comparative analysis of transmembrane helix association and aromatic/arginine selectivity filters.","year":2007,"url":"http://doi.org/10.1186/1472-6807-7-27","authors":"Bansal A., Sankararamakrishnan R.,","journal":"BMC Struct. Biol.","doi":"10.1186/1472-6807-7-27","created_at":"2021-09-30T08:25:59.180Z","updated_at":"2021-09-30T08:25:59.180Z"},{"id":2418,"pubmed_id":22080560,"title":"MIPModDB: a central resource for the superfamily of major intrinsic proteins.","year":2011,"url":"http://doi.org/10.1093/nar/gkr914","authors":"Gupta AB,Verma RK,Agarwal V,Vajpai M,Bansal V,Sankararamakrishnan R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr914","created_at":"2021-09-30T08:26:56.750Z","updated_at":"2021-09-30T11:29:35.444Z"}],"licence_links":[],"grants":[{"id":210,"fairsharing_record_id":1610,"organisation_id":1335,"relation":"maintains","created_at":"2021-09-30T09:24:22.498Z","updated_at":"2021-09-30T09:24:22.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":1335,"name":"Indian Institute of Technology Kanpur, India","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1611","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:22.765Z","metadata":{"doi":"10.25504/FAIRsharing.q3b39v","name":"mirEX","status":"ready","contacts":[{"contact_name":"Zofia Szweykowska-Kulinska","contact_email":"zofszwey@amu.edu.pl"}],"homepage":"http://www.comgen.pl/mirex/","citations":[],"identifier":1611,"description":"mirEX2 is a comprehensive platform for comparative analysis of primary microRNA expression data. RT–qPCR-based gene expression profiles are stored in a universal and expandable database scheme and wrapped by an intuitive user-friendly interface.","abbreviation":"mirEX","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.combio.pl/mirex2/contact/","type":"Contact form"},{"url":"https://en.wikipedia.org/wiki/Mirex","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000067","bsg-d000067"],"name":"FAIRsharing record for: mirEX","abbreviation":"mirEX","url":"https://fairsharing.org/10.25504/FAIRsharing.q3b39v","doi":"10.25504/FAIRsharing.q3b39v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mirEX2 is a comprehensive platform for comparative analysis of primary microRNA expression data. RT–qPCR-based gene expression profiles are stored in a universal and expandable database scheme and wrapped by an intuitive user-friendly interface.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12584}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","RNA sequence","Primer","Micro RNA","Pre-miRNA (pre-microRNA)"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Poland"],"publications":[{"id":1555,"pubmed_id":22013167,"title":"mirEX: a platform for comparative exploration of plant pri-miRNA expression data.","year":2011,"url":"http://doi.org/10.1093/nar/gkr878","authors":"Bielewicz D,Dolata J,Zielezinski A,Alaba S,Szarzynska B,Szczesniak MW,Jarmolowski A,Szweykowska-Kulinska Z,Karlowski WM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr878","created_at":"2021-09-30T08:25:14.392Z","updated_at":"2021-09-30T11:29:13.701Z"},{"id":1575,"pubmed_id":26141515,"title":"mirEX 2.0 - an integrated environment for expression profiling of plant microRNAs.","year":2015,"url":"http://doi.org/10.1186/s12870-015-0533-2","authors":"Zielezinski A,Dolata J,Alaba S,Kruszka K,Pacak A,Swida-Barteczka A,Knop K,Stepien A,Bielewicz D,Pietrykowska H,Sierocka I,Sobkowiak L,Lakomiak A,Jarmolowski A,Szweykowska-Kulinska Z,Karlowski WM","journal":"BMC Plant Biol","doi":"10.1186/s12870-015-0533-2","created_at":"2021-09-30T08:25:16.569Z","updated_at":"2021-09-30T08:25:16.569Z"}],"licence_links":[],"grants":[{"id":212,"fairsharing_record_id":1611,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:22.552Z","updated_at":"2021-09-30T09:24:22.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8017,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:25.090Z","updated_at":"2021-09-30T09:30:25.137Z","grant_id":702,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2012/05/N/NZ2/00955","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8423,"fairsharing_record_id":1611,"organisation_id":1042,"relation":"funds","created_at":"2021-09-30T09:32:34.185Z","updated_at":"2021-09-30T09:32:34.242Z","grant_id":1678,"is_lead":false,"saved_state":{"id":1042,"name":"Foundation for Polish Science, Warsaw, Poland","grant":"MPD/2013/3","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":211,"fairsharing_record_id":1611,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:22.521Z","updated_at":"2021-09-30T09:24:22.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":215,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:24:22.643Z","updated_at":"2021-09-30T09:29:20.753Z","grant_id":205,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2011/03/B/NZ2/01416","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":213,"fairsharing_record_id":1611,"organisation_id":2820,"relation":"funds","created_at":"2021-09-30T09:24:22.584Z","updated_at":"2021-09-30T09:30:42.639Z","grant_id":833,"is_lead":false,"saved_state":{"id":2820,"name":"The Polish Ministry of Science and Higher Education","grant":"3011/B/P01/2009/37","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":216,"fairsharing_record_id":1611,"organisation_id":1042,"relation":"funds","created_at":"2021-09-30T09:24:22.673Z","updated_at":"2021-09-30T09:31:24.542Z","grant_id":1156,"is_lead":false,"saved_state":{"id":1042,"name":"Foundation for Polish Science, Warsaw, Poland","grant":"POMOST/2012-5/7","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":214,"fairsharing_record_id":1611,"organisation_id":2350,"relation":"funds","created_at":"2021-09-30T09:24:22.614Z","updated_at":"2021-09-30T09:32:09.862Z","grant_id":1496,"is_lead":false,"saved_state":{"id":2350,"name":"Poznan RNA Centre, Poland","grant":"01/KNOW2/2014","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7931,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:29:54.567Z","updated_at":"2021-09-30T09:29:54.610Z","grant_id":463,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2012/05/N/NZ2/00880","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7951,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:02.460Z","updated_at":"2021-09-30T09:30:02.511Z","grant_id":526,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2013/10/A/NZ1/00557","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7970,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:09.610Z","updated_at":"2021-09-30T09:30:09.665Z","grant_id":578,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2011/03/N/NZ2/01440","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8049,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:30:38.968Z","updated_at":"2021-09-30T09:30:39.011Z","grant_id":806,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2012/04/M/NZ2/00127","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8131,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:31:07.130Z","updated_at":"2021-09-30T09:31:07.176Z","grant_id":1025,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"0028/B/P/1/2009/37","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8149,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:31:11.905Z","updated_at":"2021-09-30T09:31:11.956Z","grant_id":1059,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2014/12/T/NZ2/00246","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8214,"fairsharing_record_id":1611,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:31:34.823Z","updated_at":"2021-09-30T09:31:34.868Z","grant_id":1234,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2011/03/N/NZ2/03147","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8421,"fairsharing_record_id":1611,"organisation_id":1042,"relation":"funds","created_at":"2021-09-30T09:32:33.877Z","updated_at":"2021-09-30T09:32:33.927Z","grant_id":1676,"is_lead":false,"saved_state":{"id":1042,"name":"Foundation for Polish Science, Warsaw, Poland","grant":"MPD/2013/7","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9380,"fairsharing_record_id":1611,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:34.411Z","updated_at":"2022-04-11T12:07:34.432Z","grant_id":736,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"WND-POIG.01.03.01-00-101/08","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9382,"fairsharing_record_id":1611,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:34.566Z","updated_at":"2022-04-11T12:07:34.582Z","grant_id":846,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"MPD 2010/3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1614","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-23T17:50:45.412Z","metadata":{"doi":"10.25504/FAIRsharing.ekzmjp","name":"modMine","status":"deprecated","contacts":[{"contact_name":"Gos Micklem","contact_email":"g.micklem@gen.cam.ac.uk"}],"homepage":"http://intermine.modencode.org/","citations":[{"doi":"10.1093/nar/gkr921","pubmed_id":22080565,"publication_id":1466}],"identifier":1614,"description":"modMine is an integrated web resource of data and tools to browse and search modENCODE data and experimental details, download results and access the GBrowse genome browser.","abbreviation":"modMine","data_curation":{},"support_links":[{"url":"http://www.modencode.org/publications/faq/","name":"modMine FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.modencode.org/quickstart/","name":"modMine Quick Start Guide","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://intermine.modencode.org/release-33/customQuery.do","name":"Query Builder"}],"deprecation_date":"2023-02-22","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000070","bsg-d000070"],"name":"FAIRsharing record for: modMine","abbreviation":"modMine","url":"https://fairsharing.org/10.25504/FAIRsharing.ekzmjp","doi":"10.25504/FAIRsharing.ekzmjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: modMine is an integrated web resource of data and tools to browse and search modENCODE data and experimental details, download results and access the GBrowse genome browser.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11670},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12585}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Citation","Protein domain","DNA sequence data","Gene Ontology enrichment","Computational biological predictions","Gene model annotation","Chromatin immunoprecipitation - DNA sequencing","Chromatin immunoprecipitation - DNA microarray","Phenotype","Protein","Binding site","Orthologous"],"taxonomies":["Caenorhabditis elegans","Drosophila ananassae","Drosophila melanogaster","Drosophila mojavensis","Drosophila pseudoobscura","Drosophila simulans","Drosophila virilis","Drosophila yakuba"],"user_defined_tags":[],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":117,"pubmed_id":19536255,"title":"Unlocking the secrets of the genome.","year":2009,"url":"http://doi.org/10.1038/459927a","authors":"Celniker SE., Dillon LA., Gerstein MB., Gunsalus KC., Henikoff S., Karpen GH., Kellis M., Lai EC., Lieb JD., MacAlpine DM., Micklem G., Piano F., Snyder M., Stein L., White KP., Waterston RH.,","journal":"Nature","doi":"10.1038/459927a","created_at":"2021-09-30T08:22:32.972Z","updated_at":"2021-09-30T08:22:32.972Z"},{"id":1465,"pubmed_id":21177974,"title":"Identification of functional elements and regulatory circuits by Drosophila modENCODE.","year":2010,"url":"http://doi.org/10.1126/science.1198374","authors":"Roy S., et al.","journal":"Science","doi":"10.1126/science.1198374","created_at":"2021-09-30T08:25:03.987Z","updated_at":"2021-09-30T08:25:03.987Z"},{"id":1466,"pubmed_id":22080565,"title":"modMine: flexible access to modENCODE data","year":2011,"url":"http://doi.org/10.1093/nar/gkr921","authors":"Contrino S, Smith RN, Butano D, Carr A, Hu F, Lyne R, Rutherford K, Kalderimis A, Sullivan J, Carbon S, Kephart ET, Lloyd P, Stinson EO, Washington NL, Perry MD, Ruzanov P, Zha Z, Lewis SE, Stein LD, Micklem G.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr921","created_at":"2021-09-30T08:25:04.094Z","updated_at":"2021-09-30T08:25:04.094Z"},{"id":2430,"pubmed_id":21177976,"title":"Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project.","year":2010,"url":"http://doi.org/10.1126/science.1196914","authors":"Gerstein MB., et al.","journal":"Science","doi":"10.1126/science.1196914","created_at":"2021-09-30T08:26:58.169Z","updated_at":"2021-09-30T08:26:58.169Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":231,"relation":"undefined"}],"grants":[{"id":231,"fairsharing_record_id":1614,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:24:23.111Z","updated_at":"2021-09-30T09:24:23.111Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":234,"fairsharing_record_id":1614,"organisation_id":713,"relation":"maintains","created_at":"2021-09-30T09:24:23.229Z","updated_at":"2021-09-30T09:24:23.229Z","grant_id":null,"is_lead":true,"saved_state":{"id":713,"name":"Department of Genetics, University of Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":229,"fairsharing_record_id":1614,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:23.028Z","updated_at":"2021-09-30T09:24:23.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":230,"fairsharing_record_id":1614,"organisation_id":1470,"relation":"maintains","created_at":"2021-09-30T09:24:23.070Z","updated_at":"2021-09-30T09:24:23.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":1470,"name":"InterMine, System Biology Centre, Cambridge, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":232,"fairsharing_record_id":1614,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:23.149Z","updated_at":"2021-09-30T09:24:23.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":233,"fairsharing_record_id":1614,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:23.187Z","updated_at":"2021-09-30T09:24:23.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1615","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T09:40:08.119Z","metadata":{"doi":"10.25504/FAIRsharing.940ayh","name":"Model Organism Protein Expression Database","status":"deprecated","contacts":[{"contact_name":"Eugene Kolker","contact_email":"eugene.kolker@seattlechildrens.org"}],"homepage":"http://moped.proteinspire.org","identifier":1615,"description":"Model Organism Protein Expression Database is a collection of data on protein expression sequence used in the study of clinical research.","abbreviation":"MOPED","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"yes","deprecation_date":"2019-08-13","deprecation_reason":"This database does not appear to be available online.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000071","bsg-d000071"],"name":"FAIRsharing record for: Model Organism Protein Expression Database","abbreviation":"MOPED","url":"https://fairsharing.org/10.25504/FAIRsharing.940ayh","doi":"10.25504/FAIRsharing.940ayh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Model Organism Protein Expression Database is a collection of data on protein expression sequence used in the study of clinical research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1092,"pubmed_id":22139914,"title":"MOPED: Model Organism Protein Expression Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1177","authors":"Kolker E,Higdon R,Haynes W,Welch D,Broomall W,Lancet D,Stanberry L,Kolker N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1177","created_at":"2021-09-30T08:24:20.913Z","updated_at":"2021-09-30T11:28:58.386Z"},{"id":1862,"pubmed_id":24910945,"title":"MOPED 2.5--an integrated multi-omics resource: multi-omics profiling expression database now includes transcriptomics data.","year":2014,"url":"http://doi.org/10.1089/omi.2014.0061","authors":"Montague E,Stanberry L,Higdon R,Janko I,Lee E,Anderson N,Choiniere J,Stewart E,Yandl G,Broomall W,Kolker N,Kolker E","journal":"OMICS","doi":"10.1089/omi.2014.0061","created_at":"2021-09-30T08:25:49.189Z","updated_at":"2021-09-30T08:25:49.189Z"}],"licence_links":[],"grants":[{"id":237,"fairsharing_record_id":1615,"organisation_id":2453,"relation":"funds","created_at":"2021-09-30T09:24:23.348Z","updated_at":"2021-09-30T09:24:23.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":2453,"name":"Robert B McMillen Foundation","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":238,"fairsharing_record_id":1615,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:24:23.378Z","updated_at":"2021-09-30T09:29:39.486Z","grant_id":346,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"U01DK072473","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":236,"fairsharing_record_id":1615,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:23.321Z","updated_at":"2021-09-30T09:32:18.553Z","grant_id":1559,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0969929","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8113,"fairsharing_record_id":1615,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:31:01.505Z","updated_at":"2021-09-30T09:31:01.546Z","grant_id":982,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"U01DK089571","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1612","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-28T10:26:50.141Z","metadata":{"doi":"10.25504/FAIRsharing.n14rc8","name":"Identifiers.org Central Registry","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"identifiers-org@ebi.ac.uk"}],"homepage":"https://registry.identifiers.org/","citations":[{"doi":"10.1038/sdata.2018.29","pubmed_id":29737976,"publication_id":2751}],"identifier":1612,"description":"The Identifiers.org Central Registry provides the necessary information for the generation and resolution of unique and perennial identifiers for life science data. Those identifiers are both in URI and compact form, and make use of Identifiers.org to provide direct access to the identified data records on the Web. Resource maintainers request an Identifiers.org prefix for their databases or services.","abbreviation":null,"data_curation":{"url":"https://docs.identifiers.org/pages/faq.html#questions-about-users-and-curators","type":"manual"},"support_links":[{"url":"https://docs.identifiers.org/pages/faq.html","name":"Identifiers.org FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/identifiers-org/identifiers-org.github.io/issues/","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://docs.identifiers.org/pages/metadata_service.html","name":"Metadata Service","type":"Help documentation"},{"url":"https://docs.identifiers.org/","name":"Documentation","type":"Help documentation"},{"url":"https://docs.identifiers.org/","name":"Key Facts","type":"Help documentation"},{"url":"https://docs.identifiers.org/pages/identification_scheme.html","name":"Identification Scheme","type":"Help documentation"},{"url":"https://docs.identifiers.org/pages/resolving_mechanisms.html","name":"Resolving Mechanisms","type":"Help documentation"},{"url":"https://twitter.com/IdentifiersOrg","name":"@IdentifiersOrg","type":"Twitter"}],"year_creation":2006,"data_versioning":"no","associated_tools":[{"url":"https://github.com/identifiers-org/cloud-libapi","name":"Java library for identifiers.org Web Services"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://registry.identifiers.org/prefixregistrationrequest","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000068","bsg-d000068"],"name":"FAIRsharing record for: Identifiers.org Central Registry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.n14rc8","doi":"10.25504/FAIRsharing.n14rc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Identifiers.org Central Registry provides the necessary information for the generation and resolution of unique and perennial identifiers for life science data. Those identifiers are both in URI and compact form, and make use of Identifiers.org to provide direct access to the identified data records on the Web. Resource maintainers request an Identifiers.org prefix for their databases or services.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11322},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11518},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11886},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12239},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17990}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Resource metadata","Data identity and mapping","Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":362,"pubmed_id":18078503,"title":"MIRIAM Resources: tools to generate and resolve robust cross-references in Systems Biology.","year":2007,"url":"http://doi.org/10.1186/1752-0509-1-58","authors":"Laibe C., Le Novere N.,","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-1-58","created_at":"2021-09-30T08:22:58.900Z","updated_at":"2021-09-30T08:22:58.900Z"},{"id":1282,"pubmed_id":22140103,"title":"Identifiers.org and MIRIAM Registry: community resources to provide persistent identification.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1097","authors":"Juty N,Le Novere N,Laibe C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1097","created_at":"2021-09-30T08:24:43.090Z","updated_at":"2021-09-30T11:29:05.368Z"},{"id":2751,"pubmed_id":29737976,"title":"Uniform resolution of compact identifiers for biomedical data.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.29","authors":"Wimalaratne SM,Juty N,Kunze J,Janee G,McMurry JA,Beard N,Jimenez R,Grethe JS,Hermjakob H,Martone ME,Clark T","journal":"Sci Data","doi":"10.1038/sdata.2018.29","created_at":"2021-09-30T08:27:38.148Z","updated_at":"2021-09-30T08:27:38.148Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":38,"relation":"undefined"},{"licence_name":"Identifiers.org Licence and Disclaimer","licence_id":422,"licence_url":"https://docs.identifiers.org/articles/docs/terms_of_use.html","link_id":42,"relation":"undefined"}],"grants":[{"id":219,"fairsharing_record_id":1612,"organisation_id":2858,"relation":"funds","created_at":"2021-09-30T09:24:22.747Z","updated_at":"2021-09-30T09:24:22.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":2858,"name":"THOR, European Union","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":222,"fairsharing_record_id":1612,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:22.821Z","updated_at":"2021-09-30T09:24:22.821Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":225,"fairsharing_record_id":1612,"organisation_id":873,"relation":"funds","created_at":"2021-09-30T09:24:22.897Z","updated_at":"2021-09-30T09:24:22.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":218,"fairsharing_record_id":1612,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:22.721Z","updated_at":"2021-09-30T09:24:22.721Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":220,"fairsharing_record_id":1612,"organisation_id":993,"relation":"funds","created_at":"2021-09-30T09:24:22.771Z","updated_at":"2021-09-30T09:24:22.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":993,"name":"FAIRplus","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":223,"fairsharing_record_id":1612,"organisation_id":2761,"relation":"funds","created_at":"2021-09-30T09:24:22.847Z","updated_at":"2021-09-30T09:24:22.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":2761,"name":"The CORBEL Project","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":224,"fairsharing_record_id":1612,"organisation_id":1062,"relation":"funds","created_at":"2021-09-30T09:24:22.872Z","updated_at":"2021-09-30T09:24:22.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":1062,"name":"Freya Project, European Union","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":226,"fairsharing_record_id":1612,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:24:22.921Z","updated_at":"2021-09-30T09:24:22.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11551,"fairsharing_record_id":1612,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:50.455Z","updated_at":"2024-03-21T13:58:50.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8b20c2cbc4d9edec6ec7b462e2fba5d722cfed3a/identifiers_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1613","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-09T12:51:49.443Z","metadata":{"doi":"10.25504/FAIRsharing.wx1yak","name":"MitoMiner","status":"deprecated","contacts":[{"contact_name":"Alan J. Robinson","contact_email":"ajr@mrc-mbu.cam.ac.uk"}],"homepage":"http://mitominer.mrc-mbu.cam.ac.uk","citations":[],"identifier":1613,"description":"MitoMiner is an integrated data warehouse of mammalian localisation evidence, phenotypes and diseases. This data has been integrated to allow the creation of sophisticated data mining queries spanning many different sources. It is primarily concerned with data for mammals, zebrafish and yeasts. This resource is currently unavailable.","abbreviation":"MitoMiner","data_curation":{},"support_links":[{"url":"mitominer@mrc-mbu.cam.ac.uk","name":"MitoMiner General Contact","type":"Support email"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/support/faq","name":"MitoMiner FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/support/tutorials","name":"MitoMiner Tutorial","type":"Help documentation"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/support/","name":"MitoMiner News","type":"Help documentation"},{"url":"http://mitominer.mrc-mbu.cam.ac.uk/release-4.0/dataCategories.do","name":"Data Sources for MitoMiner","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2009,"data_versioning":"not found","deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000069","bsg-d000069"],"name":"FAIRsharing record for: MitoMiner","abbreviation":"MitoMiner","url":"https://fairsharing.org/10.25504/FAIRsharing.wx1yak","doi":"10.25504/FAIRsharing.wx1yak","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MitoMiner is an integrated data warehouse of mammalian localisation evidence, phenotypes and diseases. This data has been integrated to allow the creation of sophisticated data mining queries spanning many different sources. It is primarily concerned with data for mammals, zebrafish and yeasts. This resource is currently unavailable.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11669}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Phenotype","Protein"],"taxonomies":["Eukaryota"],"user_defined_tags":["Mitochondrial proteomics data"],"countries":["United Kingdom"],"publications":[{"id":107,"pubmed_id":19208617,"title":"MitoMiner, an integrated database for the storage and analysis of mitochondrial proteomics data.","year":2009,"url":"http://doi.org/10.1074/mcp.M800373-MCP200","authors":"Smith AC., Robinson AJ.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M800373-MCP200","created_at":"2021-09-30T08:22:31.896Z","updated_at":"2021-09-30T08:22:31.896Z"},{"id":1450,"pubmed_id":26432830,"title":"MitoMiner v3.1, an update on the mitochondrial proteomics database.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1001","authors":"Smith AC,Robinson AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1001","created_at":"2021-09-30T08:25:02.075Z","updated_at":"2021-09-30T11:29:08.609Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1244,"relation":"undefined"}],"grants":[{"id":228,"fairsharing_record_id":1613,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:22.986Z","updated_at":"2021-09-30T09:24:22.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":227,"fairsharing_record_id":1613,"organisation_id":1905,"relation":"maintains","created_at":"2021-09-30T09:24:22.947Z","updated_at":"2021-09-30T09:24:22.947Z","grant_id":null,"is_lead":true,"saved_state":{"id":1905,"name":"MRC Mitochondrial Biology Unit (MBU), Cambridge, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1599","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:16.860Z","metadata":{"doi":"10.25504/FAIRsharing.d05nwx","name":"IntAct molecular interaction database","status":"ready","contacts":[{"contact_name":"Sandra Orchard","contact_email":"orchard@ebi.ac.uk","contact_orcid":"0000-0002-8878-3972"}],"homepage":"https://www.ebi.ac.uk/intact/home","citations":[{"doi":"10.1093/nar/gkt1115","pubmed_id":24234451,"publication_id":2765}],"identifier":1599,"description":"IntAct provides a freely available, open source database system and analysis tools for protein interaction data. All interactions are derived from literature curation or direct user submissions and are freely available.","abbreviation":"IntAct","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.ebi.ac.uk/support/index.php?query=intact","name":"IntAct Contact Form","type":"Contact form"},{"url":"https://tess.elixir-europe.org/materials/intact-quick-tour","name":"Intact quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intact-the-molecular-interactions-database-at-embl-ebi-webinar","name":"Intact the molecular interactions database at embl ebi webinar","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intact-molecular-interactions-at-embl-ebi","name":"Intact molecular interactions at embl ebi","type":"TeSS links to training materials"},{"url":"https://twitter.com/intact_project","name":"@intact_project","type":"Twitter"},{"url":"https://www.ebi.ac.uk/intact/documentation","name":"Help Documentation","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://wiki.cytoscape.org/Cytoscape_User_Manual/ImportingNetworksFromWebServices","name":"Cytoscape"},{"url":"http://www.ebi.ac.uk/intact/validator","name":"PSI-MI Semantic Validator"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010671","name":"re3data:r3d100010671","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006944","name":"SciCrunch:RRID:SCR_006944","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/intact/documentation/data_submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000054","bsg-d000054"],"name":"FAIRsharing record for: IntAct molecular interaction database","abbreviation":"IntAct","url":"https://fairsharing.org/10.25504/FAIRsharing.d05nwx","doi":"10.25504/FAIRsharing.d05nwx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IntAct provides a freely available, open source database system and analysis tools for protein interaction data. All interactions are derived from literature curation or direct user submissions and are freely available.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10929},{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11211},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11320},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11830},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12296},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12583}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biology"],"domains":["Citation","Protein domain","Gene name","Experimental measurement","Free text","Gene Ontology enrichment","Protein interaction","Binding","Molecular interaction","Protein","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":351,"pubmed_id":14681455,"title":"IntAct: an open source molecular interaction database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh052","authors":"Hermjakob H., Montecchi-Palazzi L., Lewington C. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh052","created_at":"2021-09-30T08:22:57.774Z","updated_at":"2021-09-30T08:22:57.774Z"},{"id":865,"pubmed_id":19850723,"title":"The IntAct molecular interaction database in 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp878","authors":"Aranda B., Achuthan P., Alam-Faruque Y. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp878","created_at":"2021-09-30T08:23:55.555Z","updated_at":"2021-09-30T08:23:55.555Z"},{"id":868,"pubmed_id":17925023,"title":"Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.","year":2007,"url":"http://doi.org/10.1186/1741-7007-5-44","authors":"Kerrien S., Orchard S., Montecchi-Palazzi L. et al.","journal":"BMC Biol.","doi":"10.1186/1741-7007-5-44","created_at":"2021-09-30T08:23:55.889Z","updated_at":"2021-09-30T08:23:55.889Z"},{"id":2294,"pubmed_id":21716279,"title":"PSICQUIC and PSISCORE: accessing and scoring molecular interactions.","year":2011,"url":"http://doi.org/10.1038/nmeth.1637","authors":"Aranda B., Blankenburg H., Kerrien S. et al.","journal":"Nat. Methods","doi":"10.1038/nmeth.1637","created_at":"2021-09-30T08:26:39.956Z","updated_at":"2021-09-30T08:26:39.956Z"},{"id":2765,"pubmed_id":24234451,"title":"The MIntAct project--IntAct as a common curation platform for 11 molecular interaction databases.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1115","authors":"Orchard S,Ammari M,Aranda B et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1115","created_at":"2021-09-30T08:27:39.836Z","updated_at":"2021-09-30T11:29:43.311Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2242,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2241,"relation":"undefined"}],"grants":[{"id":179,"fairsharing_record_id":1599,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:21.460Z","updated_at":"2021-09-30T09:24:21.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":177,"fairsharing_record_id":1599,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:21.389Z","updated_at":"2021-09-30T09:24:21.389Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":178,"fairsharing_record_id":1599,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:21.422Z","updated_at":"2021-09-30T09:24:21.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":181,"fairsharing_record_id":1599,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:21.539Z","updated_at":"2021-09-30T09:32:05.485Z","grant_id":1464,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBSRC MIDAS grant (BB/L024179/1)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9261,"fairsharing_record_id":1599,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.189Z","updated_at":"2022-04-11T12:07:26.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcDRDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--35060191cee27b3f1ab04b820194c198e94ad742/Screenshot%20from%202023-05-25%2014-38-09.png?disposition=inline","exhaustive_licences":true}},{"id":"1850","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-21T15:37:26.679Z","metadata":{"doi":"10.25504/FAIRsharing.dj8nt8","name":"European Nucleotide Archive","status":"ready","contacts":[{"contact_name":"Guy Cochrane","contact_email":"datasubs@ebi.ac.uk","contact_orcid":"0000-0001-7954-7057"},{"contact_name":"Jerry Lanfear","contact_email":"jerry.lanfear@elixir-europe.org","contact_orcid":"0000-0002-8007-5568"}],"homepage":"http://www.ebi.ac.uk/ena","citations":[{"doi":"10.1093/nar/gkw1106","pubmed_id":27899630,"publication_id":2401}],"identifier":1850,"description":"The European Nucleotide Archive (ENA) is a globally comprehensive data resource for nucleotide sequence, spanning raw data, alignments and assemblies, functional and taxonomic annotation and rich contextual data relating to sequenced samples and experimental design. Serving both as the database of record for the output of the world's sequencing activity and as a platform for the management, sharing and publication of sequence data, the ENA provides a portfolio of services for submission, data management, search and retrieval across web and programmatic interfaces. The ENA is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","abbreviation":"ENA","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/ena/browser/support","name":"Support / Feedback Form","type":"Contact form"},{"url":"http://listserver.ebi.ac.uk/mailman/listinfo/ena-announce","name":"ENA Announce","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/ena/about","name":"About ENA","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/european-nucleotide-archive-quick-tour","name":"European nucleotide archive quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/european-nucleotide-archive-ena-an-introduction-webinar","name":"European nucleotide archive ena an introduction webinar","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/european-nucleotide-archive-using-the-primary-nucleotide-sequence-resource","name":"European nucleotide archive using the primary nucleotide sequence resource","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/ebi-metagenomics-portal-submitting-metagenomics-data-to-the-european-nucleotide-archive","name":"Ebi metagenomics portal submitting metagenomics data to the european nucleotide archive","type":"TeSS links to training materials"},{"url":"https://ena-docs.readthedocs.io/en/latest/","name":"Tutorials and Guidelines","type":"Training documentation"},{"url":"https://twitter.com/enasequence","name":"@enasequence","type":"Twitter"}],"year_creation":1980,"data_versioning":"yes","associated_tools":[{"url":"https://www.ebi.ac.uk/ena/software/cram-toolkit","name":"CRAM"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010527","name":"re3data:r3d100010527","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006515","name":"SciCrunch:RRID:SCR_006515","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/ena/browser/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/ena/browser/submit","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000310","bsg-d000310"],"name":"FAIRsharing record for: European Nucleotide Archive","abbreviation":"ENA","url":"https://fairsharing.org/10.25504/FAIRsharing.dj8nt8","doi":"10.25504/FAIRsharing.dj8nt8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Nucleotide Archive (ENA) is a globally comprehensive data resource for nucleotide sequence, spanning raw data, alignments and assemblies, functional and taxonomic annotation and rich contextual data relating to sequenced samples and experimental design. Serving both as the database of record for the output of the world's sequencing activity and as a platform for the management, sharing and publication of sequence data, the ENA provides a portfolio of services for submission, data management, search and retrieval across web and programmatic interfaces. The ENA is part of the International Nucleotide Sequence Database Collaboration (INSDC), which comprises the DNA DataBank of Japan (DDBJ), the European Molecular Biology Laboratory (EMBL), and GenBank at the NCBI. These three organizations exchange data on a daily basis.","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17569},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10939},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11336},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11837},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12636},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12954},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13907},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16203},{"linking_record_name":"EVORA’s Selection of FAIRsharing Referenced Resources for Pandemic Preparedness and Response","linking_record_id":5449,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19704}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Metagenomics","Genomics","Bioinformatics","Data Management","Biodiversity","Transcriptomics"],"domains":["DNA sequence data","Annotation","Sequence annotation","Genomic assembly","Histone","Deoxyribonucleic acid","Ribonucleic acid","Nucleotide","Sequencing","Amino acid sequence","Data storage"],"taxonomies":["All"],"user_defined_tags":["Data coordination"],"countries":["Japan","United States","European Union"],"publications":[{"id":227,"pubmed_id":26615190,"title":"Biocuration of functional annotation at the European nucleotide archive.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1311","authors":"Gibson R,Alako B,Amid C,Cerdeno-Tarraga A,Cleland I,Goodgame N,Ten Hoopen P,Jayathilaka S,Kay S,Leinonen R,Liu X,Pallreddy S,Pakseresht N,Rajan J,Rossello M,Silvester N,Smirnov D,Toribio AL,Vaughan D,Zalunin V,Cochrane G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1311","created_at":"2021-09-30T08:22:44.521Z","updated_at":"2021-09-30T11:28:44.125Z"},{"id":274,"pubmed_id":25404130,"title":"Content discovery and retrieval services at the European Nucleotide Archive.","year":2014,"url":"http://doi.org/10.1093/nar/gku1129","authors":"Silvester N,Alako B,Amid C,Cerdeno-Tarraga A,Cleland I,Gibson R,Goodgame N,Ten Hoopen P,Kay S,Leinonen R,Li W,Liu X,Lopez R,Pakseresht N,Pallreddy S,Plaister S,Radhakrishnan R,Rossello M,Senf A,Smirnov D,Toribio AL,Vaughan D,Zalunin V,Cochrane G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1129","created_at":"2021-09-30T08:22:49.623Z","updated_at":"2021-09-30T11:28:44.591Z"},{"id":822,"pubmed_id":23203883,"title":"Facing growth in the European Nucleotide Archive.","year":2012,"url":"http://doi.org/10.1093/nar/gks1175","authors":"Cochrane G.,Alako B., et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1175","created_at":"2021-09-30T08:23:50.618Z","updated_at":"2021-09-30T11:28:53.175Z"},{"id":1175,"pubmed_id":26657633,"title":"The International Nucleotide Sequence Database Collaboration.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1323","authors":"Cochrane G,Karsch-Mizrachi I,Takagi T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1323","created_at":"2021-09-30T08:24:30.606Z","updated_at":"2021-09-30T11:29:02.034Z"},{"id":2401,"pubmed_id":27899630,"title":"European Nucleotide Archive in 2016.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1106","authors":"Toribio AL.,Alako B., et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1106","created_at":"2021-09-30T08:26:54.759Z","updated_at":"2021-09-30T11:29:34.986Z"},{"id":2468,"pubmed_id":14681351,"title":"The EMBL Nucleotide Sequence Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh120","authors":"Kulikova T,Aldebert P., et al.,","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh120","created_at":"2021-09-30T08:27:02.652Z","updated_at":"2021-09-30T11:29:37.053Z"}],"licence_links":[{"licence_name":"ENA Open Access Statement","licence_id":278,"licence_url":"https://www.ebi.ac.uk/ena/standards-and-policies","link_id":2338,"relation":"undefined"}],"grants":[{"id":968,"fairsharing_record_id":1850,"organisation_id":2282,"relation":"funds","created_at":"2021-09-30T09:24:50.855Z","updated_at":"2021-09-30T09:24:50.855Z","grant_id":null,"is_lead":false,"saved_state":{"id":2282,"name":"Oxford Nanopore Technologies, Oxford, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":962,"fairsharing_record_id":1850,"organisation_id":2894,"relation":"funds","created_at":"2021-09-30T09:24:50.621Z","updated_at":"2021-09-30T09:30:00.987Z","grant_id":514,"is_lead":false,"saved_state":{"id":2894,"name":"UK Biotechnology and Biological Sciences Research Council - RNA Central","grant":"NN/J019321/1","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":963,"fairsharing_record_id":1850,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:50.664Z","updated_at":"2021-09-30T09:24:50.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":964,"fairsharing_record_id":1850,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:50.701Z","updated_at":"2021-09-30T09:24:50.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":965,"fairsharing_record_id":1850,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:50.734Z","updated_at":"2021-09-30T09:24:50.734Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":966,"fairsharing_record_id":1850,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:24:50.772Z","updated_at":"2021-09-30T09:24:50.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":959,"fairsharing_record_id":1850,"organisation_id":1262,"relation":"funds","created_at":"2021-09-30T09:24:50.511Z","updated_at":"2021-09-30T09:29:17.542Z","grant_id":180,"is_lead":false,"saved_state":{"id":1262,"name":"Horizon 2020 Programme of the European Union - EMBRIC","grant":"654008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":967,"fairsharing_record_id":1850,"organisation_id":1263,"relation":"funds","created_at":"2021-09-30T09:24:50.813Z","updated_at":"2021-09-30T09:31:47.836Z","grant_id":1330,"is_lead":false,"saved_state":{"id":1263,"name":"Horizon 2020 Programme of the European Union - ENVRI+","grant":"654182","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":960,"fairsharing_record_id":1850,"organisation_id":2892,"relation":"funds","created_at":"2021-09-30T09:24:50.542Z","updated_at":"2021-09-30T09:32:12.577Z","grant_id":1517,"is_lead":false,"saved_state":{"id":2892,"name":"UK Biotechnology and Biological Sciences Research Council - Metagenomics Portal","grant":"BB/M011755/1","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":957,"fairsharing_record_id":1850,"organisation_id":1261,"relation":"funds","created_at":"2021-09-30T09:24:50.434Z","updated_at":"2021-09-30T09:32:34.653Z","grant_id":1682,"is_lead":false,"saved_state":{"id":1261,"name":"Horizon 2020 Programme of the European Union - COMPARE","grant":"643476","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":958,"fairsharing_record_id":1850,"organisation_id":1264,"relation":"funds","created_at":"2021-09-30T09:24:50.471Z","updated_at":"2021-09-30T09:29:30.418Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9201,"fairsharing_record_id":1850,"organisation_id":278,"relation":"funds","created_at":"2022-04-11T12:07:21.563Z","updated_at":"2022-04-11T12:07:21.584Z","grant_id":1582,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/N018354/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBPdz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9558f885de21d2ce8b723a5d0ecbaf3afe054001/ENA_logo_2021.png?disposition=inline","exhaustive_licences":true}},{"id":"1845","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-03T17:19:24.142Z","metadata":{"doi":"10.25504/FAIRsharing.6k0kwd","name":"ArrayExpress","status":"ready","contacts":[{"contact_name":"ArrayExpress Team","contact_email":"arrayexpress@ebi.ac.uk"},{"contact_name":"Annotare - ArrayExpress","contact_email":"annotare@ebi.ac.uk","contact_orcid":null}],"homepage":"https://www.ebi.ac.uk/biostudies/arrayexpress/","citations":[{"doi":"10.1093/nar/gkaa1062","pubmed_id":33211879,"publication_id":4081}],"identifier":1845,"description":"ArrayExpress is a database of functional genomics experiments that can be queried and the data downloaded. ArrayExpress has moved to the BioStudies repository but maintains its distinct data model and submission portal - experiments are submitted directly to ArrayExpress via its own dedicated submission tool Annotare.\nIt includes gene expression data from microarray and high throughput sequencing studies, including single-cell sequencing experiments. Data is collected to MIAME, MINSEQE and minSCe standards and guidelines. ","abbreviation":"ArrayExpress","data_curation":{"url":"https://www.ebi.ac.uk/fg/annotare/about","type":"manual","notes":"All experiments submitted to ArrayExpress are manually curated by trained bioinformaticians."},"support_links":[{"url":"annotare@ebi.ac.uk","name":"Annotare Helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/biostudies/arrayexpress/help","name":"Help Pages","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/arrayexpress/help/contact_us.html","name":"Contact Page","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biostudies/about","name":"About","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/arrayexpress-quick-tour","name":"Arrayexpress quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/arrayexpress-discover-functional-genomics-data-quickly-and-easily","name":"ArrayExpress: Discover functional genomics data quickly and easily","type":"TeSS links to training materials"},{"url":"http://www.ebi.ac.uk/training/online/course/functional-genomics-introduction-embl-ebi-resource-1","name":"Functional genomics at the EBI","type":"Training documentation"},{"url":"https://twitter.com/ArrayExpressEBI","name":"@ArrayExpressEBI","type":"Twitter"},{"url":"https://www.ebi.ac.uk/people/person/alvis-brazma/","name":"Functional Genomics group","type":"Other"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/fg/annotare/","name":"Annotare"},{"url":"http://www.bioconductor.org/packages/release/bioc/html/ArrayExpress.html","name":"ArrayExpress Bioconductor Package"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010222","name":"re3data:r3d100010222","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002964","name":"SciCrunch:RRID:SCR_002964","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/fg/annotare/help/index.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000305","bsg-d000305"],"name":"FAIRsharing record for: ArrayExpress","abbreviation":"ArrayExpress","url":"https://fairsharing.org/10.25504/FAIRsharing.6k0kwd","doi":"10.25504/FAIRsharing.6k0kwd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ArrayExpress is a database of functional genomics experiments that can be queried and the data downloaded. ArrayExpress has moved to the BioStudies repository but maintains its distinct data model and submission portal - experiments are submitted directly to ArrayExpress via its own dedicated submission tool Annotare.\nIt includes gene expression data from microarray and high throughput sequencing studies, including single-cell sequencing experiments. Data is collected to MIAME, MINSEQE and minSCe standards and guidelines. ","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17060},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17076},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10938},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11333},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11834},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12635}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics"],"domains":["Expression data","Experimental measurement","Genotyping","Nucleotide","Gene expression","Methylation","Protocol","Chromatin immunoprecipitation - DNA sequencing","Chromatin immunoprecipitation - DNA microarray","RNA sequencing","DNA microarray","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":353,"pubmed_id":12519949,"title":"ArrayExpress--a public repository for microarray gene expression data at the EBI.","year":2003,"url":"http://doi.org/10.1093/nar/gkg091","authors":"Brazma A., Parkinson H., Sarkans U., Shojatalab M., Vilo J., Abeygunawardena N., Holloway E., Kapushesky M., Kemmeren P., Lara GG., Oezcimen A., Rocca-Serra P., Sansone SA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg091","created_at":"2021-09-30T08:22:57.984Z","updated_at":"2021-09-30T08:22:57.984Z"},{"id":678,"pubmed_id":25361974,"title":"ArrayExpress update-simplifying data submissions.","year":2014,"url":"http://doi.org/10.1093/nar/gku1057","authors":"Kolesnikov N, Hastings E, Keays M, Melnichuk O, Tang YA, Williams E, Dylag M, Kurbatova N, Brandizi M, Burdett T, Megy K, Pilicheva E, Rustici G, Tikhonov A, Parkinson H, Petryszak R, Sarkans U, Brazma A.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1057","created_at":"2021-09-30T08:23:34.741Z","updated_at":"2021-09-30T11:28:48.959Z"},{"id":2603,"pubmed_id":30357387,"title":"ArrayExpress update – from bulk to single-cell expression data","year":2018,"url":"http://doi.org/10.1093/nar/gky964","authors":"Awais Athar, Anja Füllgrabe, Nancy George, Haider Iqbal, Laura Huerta, Ahmed Ali, Catherine Snow, Nuno A Fonseca, Robert Petryszak, Irene Papatheodorou, Ugis Sarkans, Alvis Brazma","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky964","created_at":"2021-09-30T08:27:19.479Z","updated_at":"2021-09-30T08:27:19.479Z"},{"id":4081,"pubmed_id":33211879,"title":"From ArrayExpress to BioStudies.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa1062","authors":"Sarkans U, Füllgrabe A, Ali A, Athar A, Behrangi E, Diaz N, Fexova S, George N, Iqbal H, Kurri S, Munoz J, Rada J, Papatheodorou I, Brazma A","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa1062","created_at":"2024-01-08T15:47:49.076Z","updated_at":"2024-01-08T15:47:49.076Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1709,"relation":"undefined"}],"grants":[{"id":908,"fairsharing_record_id":1845,"organisation_id":1600,"relation":"maintains","created_at":"2021-09-30T09:24:48.635Z","updated_at":"2021-09-30T09:24:48.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":8097,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:30:56.672Z","updated_at":"2021-09-30T09:30:56.732Z","grant_id":946,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"ENGAGE [201413]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":907,"fairsharing_record_id":1845,"organisation_id":1076,"relation":"maintains","created_at":"2021-09-30T09:24:48.606Z","updated_at":"2021-09-30T09:24:48.606Z","grant_id":null,"is_lead":true,"saved_state":{"id":1076,"name":"Functional Genomics Group, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7932,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:29:54.801Z","updated_at":"2021-09-30T09:29:54.850Z","grant_id":465,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"SYBARIS [242220]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":910,"fairsharing_record_id":1845,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:24:48.720Z","updated_at":"2021-09-30T09:31:32.570Z","grant_id":1217,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41 HG003619","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":912,"fairsharing_record_id":1845,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:48.791Z","updated_at":"2021-09-30T09:31:07.966Z","grant_id":1031,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1127112","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":906,"fairsharing_record_id":1845,"organisation_id":1959,"relation":"funds","created_at":"2021-09-30T09:24:48.580Z","updated_at":"2021-09-30T09:28:58.402Z","grant_id":37,"is_lead":false,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","grant":"U54-HG004028","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8118,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:02.897Z","updated_at":"2021-09-30T09:31:02.949Z","grant_id":992,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"CAGEKID [241669]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8022,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:30:26.978Z","updated_at":"2021-09-30T09:30:27.029Z","grant_id":716,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"SLING [226073]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8461,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:44.577Z","updated_at":"2021-09-30T09:32:44.633Z","grant_id":1758,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"GEUVADIS [261123]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8242,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:41.914Z","updated_at":"2021-09-30T09:31:42.011Z","grant_id":1288,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"Gen2Phen [200754]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8159,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:15.773Z","updated_at":"2021-09-30T09:31:15.819Z","grant_id":1092,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"BioMedBridges [284209]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":911,"fairsharing_record_id":1845,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:48.758Z","updated_at":"2021-09-30T09:24:48.758Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":909,"fairsharing_record_id":1845,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:48.678Z","updated_at":"2021-09-30T09:29:48.317Z","grant_id":412,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"EurocanPlatform [260791]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10012,"fairsharing_record_id":1845,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.761Z","updated_at":"2022-10-13T09:43:38.761Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdmtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--252151e1f950bc1d6cb42f15b4175f4d8f8346fc/Logo-ArrayExpress.jpg?disposition=inline","exhaustive_licences":true}},{"id":"1848","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:09.149Z","metadata":{"doi":"10.25504/FAIRsharing.cmw6mm","name":"Europe PubMed Central","status":"ready","contacts":[{"contact_name":"Europe PMC Helpdesk","contact_email":"helpdesk@europepmc.org"}],"homepage":"https://europepmc.org","citations":[{"doi":"10.1093/nar/gkad1085","pubmed_id":37994696,"publication_id":4054}],"identifier":1848,"description":"Europe PubMed Central (Europe PMC) is an on-line database that offers free access to a large and growing collection of biomedical research literature.","abbreviation":"Europe PMC","data_curation":{"type":"not found"},"support_links":[{"url":"https://europepmc.org/feedback","type":"Contact form"},{"url":"helpdesk@europepmc.org","name":"Europe PMC Helpdesk","type":"Support email"},{"url":"https://europepmc.org/Help","name":"Help Pages","type":"Help documentation"},{"url":"https://europepmc.org/Roadmap","name":"Roadmap","type":"Help documentation"},{"url":"https://europepmc.org/Funders/","name":"Funders","type":"Help documentation"},{"url":"https://europepmc.org/Governance","name":"Governance","type":"Help documentation"},{"url":"https://europepmc.org/About","name":"About","type":"Help documentation"},{"url":"https://europepmc.org/RssFeeds","name":"All RSS Feeds","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/europe-pmc-quick-tour","name":"Europe PMC: quick tour","type":"TeSS links to training materials"},{"url":"https://europepmc.org/Outreach","name":"Outreach","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/europe-pmc-get-most-literature-searches","name":"Europe PMC: get the most from literature searches","type":"Training documentation"},{"url":"https://twitter.com/EuropePMC_news","name":"@EuropePMC_news","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Europe_PubMed_Central","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"http://blog.europepmc.org/","type":"Blog/News"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://europepmc.org/orcid/import","name":"ORCID Article Claiming Tool"},{"url":"https://europepmc.org/LabsLink","name":"External Links Service"},{"url":"https://europepmc.org/ArticleStatusMonitor","name":"Article Status Monitor"},{"url":"https://europepmc.org/grantfinder","name":"Grant Finder"},{"url":"https://europepmc.org/AnnotationsSubmission","name":"Annotations Submission Service"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://plus.europepmc.org/home","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000308","bsg-d000308"],"name":"FAIRsharing record for: Europe PubMed Central","abbreviation":"Europe PMC","url":"https://fairsharing.org/10.25504/FAIRsharing.cmw6mm","doi":"10.25504/FAIRsharing.cmw6mm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Europe PubMed Central (Europe PMC) is an on-line database that offers free access to a large and growing collection of biomedical research literature.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11008},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11058},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11335},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11836},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14023},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16204}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Citation","Abstract","Bibliography","Annotation","Text mining","Patent"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":546,"pubmed_id":33180112,"title":"Europe PMC in 2020.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa994","authors":"Ferguson C, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa994","created_at":"2021-09-30T08:23:19.582Z","updated_at":"2021-09-30T11:28:47.250Z"},{"id":1362,"pubmed_id":25378340,"title":"Europe PMC: a full-text literature database for the life sciences and platform for innovation.","year":2014,"url":"http://doi.org/10.1093/nar/gku1061","authors":"Europe PMC Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1061","created_at":"2021-09-30T08:24:52.307Z","updated_at":"2021-09-30T11:29:06.876Z"},{"id":1409,"pubmed_id":29161421,"title":"Europe PMC in 2017.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1005","authors":"Levchenko M, Gou Y ,Graef F, Hamelers A, Huang Z, Ide-Smith M, Iyer A, Kilian O, Katuri J, Kim JH, Marinos N, Nambiar R, Parkin M, Pi X, Rogers F, Talo F, Vartak V, Venkatesan A, McEntyre J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1005","created_at":"2021-09-30T08:24:57.514Z","updated_at":"2021-09-30T11:29:08.059Z"},{"id":2067,"pubmed_id":21062818,"title":"UKPMC: a full text article resource for the life sciences.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1063","authors":"McEntyre JR, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1063","created_at":"2021-09-30T08:26:12.980Z","updated_at":"2021-09-30T11:29:27.794Z"},{"id":4054,"pubmed_id":37994696,"title":"Europe PMC in 2023.","year":2023,"url":"https://europepmc.org/article/MED/37994696","authors":"Rosonovski S, Levchenko M, Bhatnagar R, et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkad1085","created_at":"2023-11-29T10:57:44.886Z","updated_at":"2023-11-29T10:57:44.886Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2273,"relation":"undefined"}],"grants":[{"id":8853,"fairsharing_record_id":1848,"organisation_id":2684,"relation":"funds","created_at":"2022-02-10T14:58:31.118Z","updated_at":"2022-02-10T14:58:31.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8754,"fairsharing_record_id":1848,"organisation_id":2614,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.102Z","updated_at":"2022-02-10T11:51:08.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":2614,"name":"Species 2000 Secretariat, Naturalis Biodiversity Center","types":["Company"],"is_lead":false,"relation":"collaborates_on"}},{"id":8757,"fairsharing_record_id":1848,"organisation_id":2712,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.125Z","updated_at":"2022-02-10T11:51:08.280Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Consortium","types":["Consortium","Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}},{"id":8755,"fairsharing_record_id":1848,"organisation_id":2682,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.109Z","updated_at":"2022-02-10T11:51:08.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8756,"fairsharing_record_id":1848,"organisation_id":947,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.123Z","updated_at":"2022-02-10T11:51:08.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":947,"name":"European Organisation for Nuclear Research (CERN), Geneva, Switzerland","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8835,"fairsharing_record_id":1848,"organisation_id":1325,"relation":"funds","created_at":"2022-02-10T13:14:25.764Z","updated_at":"2022-02-10T13:14:25.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":1325,"name":"India Alliance DBT Wellcome","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8837,"fairsharing_record_id":1848,"organisation_id":1812,"relation":"funds","created_at":"2022-02-10T13:14:25.792Z","updated_at":"2022-02-10T13:14:25.792Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8839,"fairsharing_record_id":1848,"organisation_id":1908,"relation":"funds","created_at":"2022-02-10T13:14:25.819Z","updated_at":"2022-02-10T13:14:25.819Z","grant_id":null,"is_lead":false,"saved_state":{"id":1908,"name":"MS Society","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8842,"fairsharing_record_id":1848,"organisation_id":3259,"relation":"funds","created_at":"2022-02-10T13:14:25.847Z","updated_at":"2022-02-10T13:14:25.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":3259,"name":"Worldwide Cancer Research","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8813,"fairsharing_record_id":1848,"organisation_id":908,"relation":"collaborates_on","created_at":"2022-02-10T11:51:08.225Z","updated_at":"2022-02-10T11:51:08.225Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8753,"fairsharing_record_id":1848,"organisation_id":1166,"relation":"collaborates_on","created_at":"2022-01-28T13:06:50.092Z","updated_at":"2022-02-10T11:51:08.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":8834,"fairsharing_record_id":1848,"organisation_id":368,"relation":"funds","created_at":"2022-02-10T13:14:25.764Z","updated_at":"2022-02-10T13:14:25.764Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK Manchester Institute","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8838,"fairsharing_record_id":1848,"organisation_id":2766,"relation":"funds","created_at":"2022-02-10T13:14:25.795Z","updated_at":"2022-02-10T13:14:25.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":2766,"name":"The Dunhill Medical Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8840,"fairsharing_record_id":1848,"organisation_id":2727,"relation":"funds","created_at":"2022-02-10T13:14:25.822Z","updated_at":"2022-02-10T13:14:25.822Z","grant_id":null,"is_lead":false,"saved_state":{"id":2727,"name":"Telethon Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8843,"fairsharing_record_id":1848,"organisation_id":287,"relation":"funds","created_at":"2022-02-10T13:14:25.851Z","updated_at":"2022-02-10T13:14:25.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":287,"name":"Blood Cancer UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8836,"fairsharing_record_id":1848,"organisation_id":503,"relation":"funds","created_at":"2022-02-10T13:14:25.789Z","updated_at":"2022-02-10T13:14:25.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":503,"name":"Chief Scientist Office","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8841,"fairsharing_record_id":1848,"organisation_id":1899,"relation":"funds","created_at":"2022-02-10T13:14:25.845Z","updated_at":"2022-02-10T13:14:25.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":1899,"name":"Motor Neuron Disease Association","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8844,"fairsharing_record_id":1848,"organisation_id":2373,"relation":"funds","created_at":"2022-02-10T13:14:25.893Z","updated_at":"2022-02-10T13:14:25.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":2373,"name":"Prostate Cancer UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8854,"fairsharing_record_id":1848,"organisation_id":154,"relation":"funds","created_at":"2022-02-10T14:58:31.223Z","updated_at":"2022-02-10T14:58:31.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":154,"name":"Austrian Science Fund (FWF), Austria","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8855,"fairsharing_record_id":1848,"organisation_id":21,"relation":"funds","created_at":"2022-02-10T14:58:31.252Z","updated_at":"2022-02-10T14:58:31.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":21,"name":"Action on Hearing Loss","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8856,"fairsharing_record_id":1848,"organisation_id":2741,"relation":"funds","created_at":"2022-02-10T14:58:31.279Z","updated_at":"2022-02-10T14:58:31.279Z","grant_id":null,"is_lead":false,"saved_state":{"id":2741,"name":"The Academy of Medical Sciences","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8857,"fairsharing_record_id":1848,"organisation_id":2290,"relation":"funds","created_at":"2022-02-10T14:58:31.307Z","updated_at":"2022-02-10T14:58:31.307Z","grant_id":null,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8858,"fairsharing_record_id":1848,"organisation_id":307,"relation":"funds","created_at":"2022-02-10T14:58:31.334Z","updated_at":"2022-02-10T14:58:31.334Z","grant_id":null,"is_lead":false,"saved_state":{"id":307,"name":"Breast Cancer Now","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8859,"fairsharing_record_id":1848,"organisation_id":115,"relation":"funds","created_at":"2022-02-10T14:58:31.361Z","updated_at":"2022-02-10T14:58:31.361Z","grant_id":null,"is_lead":false,"saved_state":{"id":115,"name":"Arthritis Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8860,"fairsharing_record_id":1848,"organisation_id":1975,"relation":"funds","created_at":"2022-02-10T14:58:31.391Z","updated_at":"2022-02-10T14:58:31.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":1975,"name":"National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs), London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8861,"fairsharing_record_id":1848,"organisation_id":3252,"relation":"funds","created_at":"2022-02-10T14:58:31.423Z","updated_at":"2022-02-10T14:58:31.423Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8862,"fairsharing_record_id":1848,"organisation_id":2003,"relation":"funds","created_at":"2022-02-10T14:58:31.484Z","updated_at":"2022-02-10T14:58:31.484Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8863,"fairsharing_record_id":1848,"organisation_id":1924,"relation":"funds","created_at":"2022-02-10T14:58:31.511Z","updated_at":"2022-02-10T14:58:31.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":1924,"name":"Myrovlytis Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8864,"fairsharing_record_id":1848,"organisation_id":757,"relation":"funds","created_at":"2022-02-10T14:58:31.538Z","updated_at":"2022-02-10T14:58:31.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":757,"name":"Diabetes UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8865,"fairsharing_record_id":1848,"organisation_id":2747,"relation":"funds","created_at":"2022-02-10T14:58:31.567Z","updated_at":"2022-02-10T14:58:31.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8866,"fairsharing_record_id":1848,"organisation_id":2772,"relation":"funds","created_at":"2022-02-10T14:58:31.595Z","updated_at":"2022-02-10T14:58:31.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8867,"fairsharing_record_id":1848,"organisation_id":67,"relation":"funds","created_at":"2022-02-10T14:58:31.623Z","updated_at":"2022-02-10T14:58:31.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":67,"name":"Alzheimers Society","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8868,"fairsharing_record_id":1848,"organisation_id":2854,"relation":"funds","created_at":"2022-02-10T14:58:31.755Z","updated_at":"2022-02-10T14:58:31.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8869,"fairsharing_record_id":1848,"organisation_id":278,"relation":"funds","created_at":"2022-02-10T14:58:31.784Z","updated_at":"2022-02-10T14:58:31.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8870,"fairsharing_record_id":1848,"organisation_id":1752,"relation":"funds","created_at":"2022-02-10T14:58:32.202Z","updated_at":"2022-02-10T14:58:32.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":1752,"name":"Marie Curie","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11113,"fairsharing_record_id":1848,"organisation_id":2130,"relation":"funds","created_at":"2023-11-29T10:56:12.352Z","updated_at":"2023-11-29T10:56:12.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11114,"fairsharing_record_id":1848,"organisation_id":4179,"relation":"funds","created_at":"2023-11-29T10:56:12.354Z","updated_at":"2023-11-29T10:56:12.354Z","grant_id":null,"is_lead":false,"saved_state":{"id":4179,"name":"The European \u0026 Developing Countries Clinical Trials Partnership (EDCTP)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11117,"fairsharing_record_id":1848,"organisation_id":2812,"relation":"funds","created_at":"2023-11-29T10:56:12.881Z","updated_at":"2023-11-29T10:56:12.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11120,"fairsharing_record_id":1848,"organisation_id":4184,"relation":"funds","created_at":"2023-11-29T10:56:13.119Z","updated_at":"2023-11-29T10:56:13.119Z","grant_id":null,"is_lead":false,"saved_state":{"id":4184,"name":"Health and Care Research Wales","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11115,"fairsharing_record_id":1848,"organisation_id":4180,"relation":"funds","created_at":"2023-11-29T10:56:12.449Z","updated_at":"2023-11-29T10:56:12.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":4180,"name":"Pancreatic Cancer UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11121,"fairsharing_record_id":1848,"organisation_id":2263,"relation":"collaborates_on","created_at":"2023-11-29T10:56:13.736Z","updated_at":"2023-11-29T10:56:13.736Z","grant_id":null,"is_lead":false,"saved_state":{"id":2263,"name":"Open Research and Contributor ID Initiative","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":11116,"fairsharing_record_id":1848,"organisation_id":4181,"relation":"funds","created_at":"2023-11-29T10:56:12.688Z","updated_at":"2023-11-29T10:56:12.688Z","grant_id":null,"is_lead":false,"saved_state":{"id":4181,"name":"Medical research foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":951,"fairsharing_record_id":1848,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:50.208Z","updated_at":"2022-02-10T11:52:19.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11118,"fairsharing_record_id":1848,"organisation_id":4182,"relation":"funds","created_at":"2023-11-29T10:56:12.890Z","updated_at":"2023-11-29T10:56:12.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":4182,"name":"MQ: Transforming Mental Health","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11119,"fairsharing_record_id":1848,"organisation_id":4183,"relation":"funds","created_at":"2023-11-29T10:56:13.098Z","updated_at":"2023-11-29T10:56:13.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":4183,"name":"Yorkshire Cancer Research","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUFEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--884bcafc4bda9adda98ec81a3433df8677d7f15c/Europe%20PMC%20Logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1849","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:31:04.172Z","metadata":{"doi":"10.25504/FAIRsharing.2ajtcf","name":"Catalytic Site Atlas","status":"deprecated","contacts":[{"contact_name":"Nicholas Furnham","contact_email":"nickf@ebi.ac.uk","contact_orcid":"0000-0002-7532-1269"}],"homepage":"http://www.ebi.ac.uk/thornton-srv/databases/CSA/","identifier":1849,"description":"The Catalytic Site Atlas (CSA) is a database documenting enzyme active sites and catalytic residues in enzymes of 3D structure. It uses a defined classification for catalytic residues which includes only those residues thought to be directly involved in some aspect of the reaction catalysed by an enzyme.","abbreviation":"CSA","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/CSA_NEW/help.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now obsolete and, together with MACiE (https://fairsharing.org/FAIRsharing.7xkx69), has formed the basis of the M-CSA resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000309","bsg-d000309"],"name":"FAIRsharing record for: Catalytic Site Atlas","abbreviation":"CSA","url":"https://fairsharing.org/10.25504/FAIRsharing.2ajtcf","doi":"10.25504/FAIRsharing.2ajtcf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Catalytic Site Atlas (CSA) is a database documenting enzyme active sites and catalytic residues in enzymes of 3D structure. It uses a defined classification for catalytic residues which includes only those residues thought to be directly involved in some aspect of the reaction catalysed by an enzyme.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Enzyme","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":361,"pubmed_id":14681376,"title":"The Catalytic Site Atlas: a resource of catalytic sites and residues identified in enzymes using structural data.","year":2003,"url":"http://doi.org/10.1093/nar/gkh028","authors":"Porter CT., Bartlett GJ., Thornton JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh028","created_at":"2021-09-30T08:22:58.800Z","updated_at":"2021-09-30T08:22:58.800Z"},{"id":1610,"pubmed_id":24319146,"title":"The Catalytic Site Atlas 2.0: cataloging catalytic sites and residues identified in enzymes.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1243","authors":"Furnham N,Holliday GL,de Beer TA,Jacobsen JO,Pearson WR,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1243","created_at":"2021-09-30T08:25:20.458Z","updated_at":"2021-09-30T11:29:15.745Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1632,"relation":"undefined"}],"grants":[{"id":956,"fairsharing_record_id":1849,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:24:50.396Z","updated_at":"2021-09-30T09:24:50.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":952,"fairsharing_record_id":1849,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:50.232Z","updated_at":"2021-09-30T09:24:50.232Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":955,"fairsharing_record_id":1849,"organisation_id":1836,"relation":"funds","created_at":"2021-09-30T09:24:50.354Z","updated_at":"2021-09-30T09:24:50.354Z","grant_id":null,"is_lead":false,"saved_state":{"id":1836,"name":"Midwest Center for Structural Genomics, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":953,"fairsharing_record_id":1849,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:50.263Z","updated_at":"2021-09-30T09:29:51.693Z","grant_id":439,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"081989/Z/07/A","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":954,"fairsharing_record_id":1849,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:24:50.313Z","updated_at":"2021-09-30T09:30:45.931Z","grant_id":858,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","grant":"DE-AC02-06CH11357","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1846","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:33.908Z","metadata":{"doi":"10.25504/FAIRsharing.paz6mh","name":"BioModels","status":"ready","contacts":[{"contact_name":"BioModels Team","contact_email":"biomodels-cura@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biomodels/","citations":[{"doi":"10.1093/nar/gkz1055","pubmed_id":31701150,"publication_id":2767}],"identifier":1846,"description":"BioModels is a repository of computational models of biological processes. It allows users to search and retrieve mathematical models published in the literature. Many models are manually curated (to ensure reproducibility) and extensively cross-linked to publicly available reference information.","abbreviation":"BioModels","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/biomodels/faq","name":"BioModels FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"biomodels-net-support@lists.sf.net","name":"Support Mailing List","type":"Mailing list"},{"url":"https://lists.sourceforge.net/lists/listinfo/biomodels-net-discuss","name":"BioModels Mailing List","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/biomodels/content/news","name":"News","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biomodels/agedbrain","name":"Model space in neurodegeneration - model landscape map","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/biomodels-database-quick-tour","name":"Biomodels database quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/biomodels/courses","name":"Courses","type":"Training documentation"},{"url":"https://twitter.com/biomodels","name":"@biomodels","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/rdf/services/sparql","name":"SPARQL Querying"},{"url":"https://www.ebi.ac.uk/biomodels/tools/converters/","name":"SBFC Online"},{"url":"https://bitbucket.org/biomodels/biomodelswsclient","name":"Java library for RESTful Web Services"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010789","name":"re3data:r3d100010789","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001993","name":"SciCrunch:RRID:SCR_001993","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ebi.ac.uk/biomodels/model/submission-guidelines-and-agreement","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000306","bsg-d000306"],"name":"FAIRsharing record for: BioModels","abbreviation":"BioModels","url":"https://fairsharing.org/10.25504/FAIRsharing.paz6mh","doi":"10.25504/FAIRsharing.paz6mh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioModels is a repository of computational models of biological processes. It allows users to search and retrieve mathematical models published in the literature. Many models are manually curated (to ensure reproducibility) and extensively cross-linked to publicly available reference information.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17081},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11334},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11835},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12242}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Systems Biology"],"domains":["Mathematical model","Network model","Biological process","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":123,"pubmed_id":29106614,"title":"BioModels: expanding horizons to include more modelling approaches and formats.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1023","authors":"Glont M,Nguyen TVN,Graesslin M,Halke R,Ali R,Schramm J,Wimalaratne SM,Kothamachu VB,Rodriguez N,Swat MJ,Eils J,Eils R,Laibe C,Malik-Sheriff RS,Chelliah V,Le Novere N,Hermjakob H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1023","created_at":"2021-09-30T08:22:33.537Z","updated_at":"2021-09-30T11:28:42.916Z"},{"id":352,"pubmed_id":16381960,"title":"BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems.","year":2005,"url":"http://doi.org/10.1093/nar/gkj092","authors":"Le Novère N., Bornstein B., Broicher A., Courtot M., Donizelli M., Dharuri H., Li L., Sauro H., Schilstra M., Shapiro B., Snoep JL., Hucka M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj092","created_at":"2021-09-30T08:22:57.883Z","updated_at":"2021-09-30T08:22:57.883Z"},{"id":811,"pubmed_id":26225232,"title":"BioModels: Content, Features, Functionality, and Use.","year":2015,"url":"http://doi.org/10.1002/psp4.3","authors":"Juty N, Ali R, Glont M, Keating S, Rodriguez N, Swat MJ, Wimalaratne SM, Hermjakob H, Le Novère N, Laibe C, Chelliah V.","journal":"CPT Pharmacometrics Syst Pharmacol.","doi":"10.1002/psp4.3","created_at":"2021-09-30T08:23:49.480Z","updated_at":"2021-09-30T08:23:49.480Z"},{"id":2767,"pubmed_id":31701150,"title":"BioModels-15 years of sharing computational models in life science.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1055","authors":"Malik-Sheriff RS,Glont M,Nguyen TVN,Tiwari K,Roberts MG,Xavier A,Vu MT,Men J,Maire M,Kananathan S,Fairbanks EL,Meyer JP,Arankalle C,Varusai TM,Knight-Schrijver V,Li L,Duenas-Roca C,Dass G,Keating SM,Park YM,Buso N,Rodriguez N,Hucka M,Hermjakob H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1055","created_at":"2021-09-30T08:27:40.070Z","updated_at":"2021-09-30T11:29:43.403Z"}],"licence_links":[{"licence_name":"Biomodels Terms of Use","licence_id":81,"licence_url":"http://www.ebi.ac.uk/biomodels-main/termsofuse","link_id":2363,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2364,"relation":"undefined"}],"grants":[{"id":914,"fairsharing_record_id":1846,"organisation_id":2498,"relation":"maintains","created_at":"2021-09-30T09:24:48.866Z","updated_at":"2021-09-30T09:24:48.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":2498,"name":"SBML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":915,"fairsharing_record_id":1846,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:48.903Z","updated_at":"2021-09-30T09:31:22.684Z","grant_id":1142,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"Multimod - BB/N019482/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":913,"fairsharing_record_id":1846,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:48.828Z","updated_at":"2021-09-30T09:24:48.828Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":916,"fairsharing_record_id":1846,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:48.932Z","updated_at":"2021-09-30T09:24:48.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":918,"fairsharing_record_id":1846,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:24:48.987Z","updated_at":"2021-09-30T09:24:48.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":917,"fairsharing_record_id":1846,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:24:48.956Z","updated_at":"2021-09-30T09:30:18.581Z","grant_id":649,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"TransQST - 116030","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":10017,"fairsharing_record_id":1846,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.904Z","updated_at":"2022-10-13T09:43:38.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1847","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:31.976Z","metadata":{"doi":"10.25504/FAIRsharing.e58gcm","name":"Chemical Component Dictionary","status":"ready","contacts":[{"contact_name":"Help desk","contact_email":"pdbehelp@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/pdbe-srv/pdbechem/","identifier":1847,"description":"The Chemical Component Dictionary is an external reference file describing all residue and small molecule components found in Protein Data Bank entries. It contains detailed chemical descriptions for standard and modified amino acids/nucleotides, small molecule ligands, and solvent molecules. Each chemical definition includes descriptions of chemical properties such as stereochemical assignments, aromatic bond assignments, idealized coordinates, chemical descriptors (SMILES \u0026 InChI), and systematic chemical names.","abbreviation":"CCD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/pdbe-srv/pdbechem/doc/chem_comp/help.htm","name":"Help Pages","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe-srv/pdbechem/doc/chem_comp/diagram.htm","name":"Data Model","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/pdbechem-searching-for-small-molecules-and-small-molecule-fragments","name":"PDBeChem: Searching for small molecules and small molecule fragments","type":"TeSS links to training materials"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/pdbe-site/pdbemotif/","name":"PBDe Motif"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000307","bsg-d000307"],"name":"FAIRsharing record for: Chemical Component Dictionary","abbreviation":"CCD","url":"https://fairsharing.org/10.25504/FAIRsharing.e58gcm","doi":"10.25504/FAIRsharing.e58gcm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chemical Component Dictionary is an external reference file describing all residue and small molecule components found in Protein Data Bank entries. It contains detailed chemical descriptions for standard and modified amino acids/nucleotides, small molecule ligands, and solvent molecules. Each chemical definition includes descriptions of chemical properties such as stereochemical assignments, aromatic bond assignments, idealized coordinates, chemical descriptors (SMILES \u0026 InChI), and systematic chemical names.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11770}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry"],"domains":["Chemical structure","Chemical entity","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1598,"pubmed_id":14681397,"title":"E-MSD: an integrated data resource for bioinformatics.","year":2003,"url":"http://doi.org/10.1093/nar/gkh078","authors":"Golovin A,Oldfield TJ,Tate JG,Velankar S,Barton GJ,Boutselakis H,Dimitropoulos D,Fillon J,Hussain A,Ionides JM,John M,Keller PA,Krissinel E,McNeil P,Naim A,Newman R,Pajon A,Pineda J,Rachedi A,Copeland J,Sitnov A,Sobhany S,Suarez-Uruena A,Swaminathan GJ,Tagari M,Tromm S,Vranken W,Henrick K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh078","created_at":"2021-09-30T08:25:19.185Z","updated_at":"2021-09-30T11:29:15.245Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":817,"relation":"undefined"}],"grants":[{"id":920,"fairsharing_record_id":1847,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:49.066Z","updated_at":"2021-09-30T09:24:49.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":919,"fairsharing_record_id":1847,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:49.028Z","updated_at":"2021-09-30T09:24:49.028Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":921,"fairsharing_record_id":1847,"organisation_id":3263,"relation":"maintains","created_at":"2021-09-30T09:24:49.105Z","updated_at":"2021-09-30T09:24:49.105Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1830","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:05.543Z","metadata":{"doi":"10.25504/FAIRsharing.bsawmk","name":"TropGENE DB","status":"ready","contacts":[{"contact_name":"Chantal Hamelin","contact_email":"chantal.hamelin@cirad.fr"}],"homepage":"http://tropgenedb.cirad.fr/","identifier":1830,"description":"TropGENE DB is a database that manages genetic and genomic information about tropical crops studied by Cirad. The database is organised into crop specific modules.","abbreviation":"TropGENE DB","data_curation":{"url":"http://tropgenedb.cirad.fr/tropgene/JSP/staff.jsp","type":"manual/automated"},"support_links":[{"url":"http://tropgenedb.cirad.fr/tropgene/JSP/gui_doc.jsp","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://tropgenedb.cirad.fr/tropgene/downloads/tropgene_data_submission.pdf","type":"open","notes":"Submission templates (Microsoft Excel files) can be downloaded and filled."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000290","bsg-d000290"],"name":"FAIRsharing record for: TropGENE DB","abbreviation":"TropGENE DB","url":"https://fairsharing.org/10.25504/FAIRsharing.bsawmk","doi":"10.25504/FAIRsharing.bsawmk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TropGENE DB is a database that manages genetic and genomic information about tropical crops studied by Cirad. The database is organised into crop specific modules.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16743}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Gene","Genome","Genotype"],"taxonomies":["Coffea","Elaeis","Gossypium","Hevea","Musa","Oryza","Saccharum officinarum","Theobroma cacao"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":336,"pubmed_id":23161680,"title":"TropGeneDB, the multi-tropical crop information system updated and extended.","year":2012,"url":"http://doi.org/10.1093/nar/gks1105","authors":"Hamelin C., Sempere G., Jouffe V., Ruiz M.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1105","created_at":"2021-09-30T08:22:56.133Z","updated_at":"2021-09-30T08:22:56.133Z"},{"id":1492,"pubmed_id":14681435,"title":"TropGENE-DB, a multi-tropical crop information system.","year":2003,"url":"http://doi.org/10.1093/nar/gkh105","authors":"Ruiz M,Rouard M,Raboin LM,Lartaud M,Lagoda P,Courtois B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh105","created_at":"2021-09-30T08:25:07.040Z","updated_at":"2021-09-30T11:29:10.777Z"}],"licence_links":[],"grants":[{"id":860,"fairsharing_record_id":1830,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:24:46.788Z","updated_at":"2021-09-30T09:24:46.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1831","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:52.761Z","metadata":{"doi":"10.25504/FAIRsharing.k1p51k","name":"CleanEx","status":"deprecated","contacts":[{"contact_name":"Viviane Praz","contact_email":"Viviane.Praz@epfl.ch"}],"homepage":"http://www.cleanex.isb-sib.ch/","identifier":1831,"description":"CleanEx is a database which provides access to public gene expression data via unique approved gene symbols and which represents heterogeneous expression data produced by different technologies in a way that facilitates joint analysis and cross-dataset comparisons.","abbreviation":"CleanEx","data_curation":{"type":"not found"},"support_links":[{"url":"Philipp.Bucher@epfl.ch","type":"Support email"},{"url":"http://cleanex.vital-it.ch/tutorial","type":"Help documentation"},{"url":"http://cleanex.vital-it.ch/current/CleanEx_manual.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000291","bsg-d000291"],"name":"FAIRsharing record for: CleanEx","abbreviation":"CleanEx","url":"https://fairsharing.org/10.25504/FAIRsharing.k1p51k","doi":"10.25504/FAIRsharing.k1p51k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CleanEx is a database which provides access to public gene expression data via unique approved gene symbols and which represents heterogeneous expression data produced by different technologies in a way that facilitates joint analysis and cross-dataset comparisons.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12632}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1165,"pubmed_id":14681477,"title":"CleanEx: a database of heterogeneous gene expression data based on a consistent gene nomenclature.","year":2003,"url":"http://doi.org/10.1093/nar/gkh107","authors":"Praz V,Jagannathan V,Bucher P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh107","created_at":"2021-09-30T08:24:29.512Z","updated_at":"2021-09-30T11:29:01.701Z"}],"licence_links":[],"grants":[{"id":861,"fairsharing_record_id":1831,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:24:46.825Z","updated_at":"2021-09-30T09:32:46.166Z","grant_id":1769,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","grant":"31‐063933","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9160,"fairsharing_record_id":1831,"organisation_id":2682,"relation":"maintains","created_at":"2022-04-11T12:07:18.443Z","updated_at":"2022-04-11T12:07:18.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1832","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:42.830Z","metadata":{"doi":"10.25504/FAIRsharing.e4n3an","name":"Information system for G protein-coupled receptors","status":"ready","contacts":[{"contact_name":"David Gloriam","contact_email":"david.gloriam@sund.ku.dk","contact_orcid":"0000-0002-4299-7561"}],"homepage":"https://gpcrdb.org/","citations":[{"doi":"10.1093/nar/gkac1013","pubmed_id":36395823,"publication_id":3746}],"identifier":1832,"description":"The GPCRDB is a molecular-class information system that collects, combines, validates and stores large amounts of heterogenous data on G protein-coupled receptors (GPCRs). The GPCRDB contains data on sequences, ligand binding constants and mutations. In addition, many different types of computationally derived data are stored such as multiple sequence alignments and homology models.","abbreviation":"GPCRdb","data_curation":{"type":"manual"},"support_links":[{"url":"info@gpcrdb.org","name":"General GPCRdb contact address","type":"Support email"},{"url":"http://docs.gpcrdb.org/index.html","name":"GPCRdb documentation and help pages","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCy_OEfBkOdshK9Tsl08nvAw","name":"GPCRdb YouTube channel with updates and demonstrations","type":"Video"},{"url":"https://twitter.com/gpcrdb","name":"@gpcrdb","type":"Twitter"}],"year_creation":1993,"data_versioning":"yes","associated_tools":[{"url":"https://gpcrdb.org/construct/design","name":"Construct Design Tool"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gpcrdb.org/#","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000292","bsg-d000292"],"name":"FAIRsharing record for: Information system for G protein-coupled receptors","abbreviation":"GPCRdb","url":"https://fairsharing.org/10.25504/FAIRsharing.e4n3an","doi":"10.25504/FAIRsharing.e4n3an","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GPCRDB is a molecular-class information system that collects, combines, validates and stores large amounts of heterogenous data on G protein-coupled receptors (GPCRs). The GPCRDB contains data on sequences, ligand binding constants and mutations. In addition, many different types of computationally derived data are stored such as multiple sequence alignments and homology models.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12633}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Molecular biology","Life Science"],"domains":["Protein structure","Structure-based sequence alignment","Drug","Bioactivity","Mutation","Small molecule","Sequence alignment","Protein","Single nucleotide polymorphism","Homologous","Orthologous"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","Netherlands"],"publications":[{"id":103,"pubmed_id":33270898,"title":"GPCRdb in 2021: integrating GPCR sequence, structure and function.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1080","authors":"Kooistra AJ,Mordalski S,Pandy-Szekeres G,Esguerra M,Mamyrbekov A,Munk C,Keseru GM,Gloriam DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1080","created_at":"2021-09-30T08:22:31.494Z","updated_at":"2021-09-30T11:28:42.733Z"},{"id":337,"pubmed_id":21045054,"title":"GPCRDB: information system for G protein-coupled receptors.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1009","authors":"Vroling B., Sanders M., Baakman C., Borrmann A., Verhoeven S., Klomp J., Oliveira L., de Vlieg J., Vriend G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1009","created_at":"2021-09-30T08:22:56.275Z","updated_at":"2021-09-30T08:22:56.275Z"},{"id":1621,"pubmed_id":9399852,"title":"GPCRDB: an information system for G protein-coupled receptors.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.275","authors":"Horn F,Weare J,Beukers MW,Horsch S,Bairoch A,Chen W,Edvardsen O,Campagne F,Vriend G","journal":"Nucleic Acids Research","doi":"10.1093/nar/26.1.275","created_at":"2021-09-30T08:25:21.666Z","updated_at":"2021-09-30T11:29:16.530Z"},{"id":1623,"pubmed_id":12520006,"title":"GPCRDB information system for G protein-coupled receptors.","year":2003,"url":"http://doi.org/10.1093/nar/gkg103","authors":"Horn F,Bettler E,Oliveira L,Campagne F,Cohen FE,Vriend G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg103","created_at":"2021-09-30T08:25:21.934Z","updated_at":"2021-09-30T11:29:16.630Z"},{"id":1632,"pubmed_id":24304901,"title":"GPCRDB: an information system for G protein-coupled receptors.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1255","authors":"Isberg V,Vroling B,van der Kant R,Li K,Vriend G,Gloriam D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1255","created_at":"2021-09-30T08:25:22.860Z","updated_at":"2021-09-30T11:29:17.218Z"},{"id":2883,"pubmed_id":26582914,"title":"GPCRdb: an information system for G protein-coupled receptors.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1178","authors":"Isberg V,Mordalski S,Munk C,Rataj K,Harpsoe K,Hauser AS,Vroling B,Bojarski AJ,Vriend G,Gloriam DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1178","created_at":"2021-09-30T08:27:54.913Z","updated_at":"2021-09-30T11:29:48.037Z"},{"id":2884,"pubmed_id":27155948,"title":"GPCRdb: the G protein-coupled receptor database - an introduction.","year":2016,"url":"http://doi.org/10.1111/bph.13509","authors":"Munk C,Isberg V,Mordalski S,Harpsoe K,Rataj K,Hauser AS,Kolb P,Bojarski AJ,Vriend G,Gloriam DE","journal":"Br J Pharmacol","doi":"10.1111/bph.13509","created_at":"2021-09-30T08:27:55.031Z","updated_at":"2021-09-30T08:27:55.031Z"},{"id":2885,"pubmed_id":29155946,"title":"GPCRdb in 2018: adding GPCR structure models and ligands.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1109","authors":"Pandy-Szekeres G,Munk C,Tsonkov TM,Mordalski S,Harpsoe K,Hauser AS,Bojarski AJ,Gloriam DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1109","created_at":"2021-09-30T08:27:55.147Z","updated_at":"2021-09-30T11:29:48.137Z"},{"id":3746,"pubmed_id":36395823,"title":"GPCRdb in 2023: state-specific structure models using AlphaFold2 and new ligand resources","year":2022,"url":"https://doi.org/10.1093/nar/gkac1013","authors":"Pándy-Szekeres, Gáspár, Jimmy Caroli, Alibek Mamyrbekov, Ali A. Kermani, György M. Keserű, Albert J. Kooistra, and David E. Gloriam","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1013","created_at":"2022-12-21T20:34:01.052Z","updated_at":"2022-12-21T20:34:01.052Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2098,"relation":"undefined"}],"grants":[{"id":868,"fairsharing_record_id":1832,"organisation_id":1732,"relation":"funds","created_at":"2021-09-30T09:24:47.100Z","updated_at":"2021-09-30T09:29:10.536Z","grant_id":125,"is_lead":false,"saved_state":{"id":1732,"name":"Lundbeck Foundation, Copenhagen, Denmark","grant":"R163-2013-16327","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":872,"fairsharing_record_id":1832,"organisation_id":2341,"relation":"funds","created_at":"2021-09-30T09:24:47.257Z","updated_at":"2021-09-30T09:31:29.625Z","grant_id":1195,"is_lead":false,"saved_state":{"id":2341,"name":"Polish National Science Centre, Poland","grant":"2014/12/T/NZ2/00529","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":869,"fairsharing_record_id":1832,"organisation_id":374,"relation":"funds","created_at":"2021-09-30T09:24:47.138Z","updated_at":"2021-09-30T09:32:28.876Z","grant_id":1638,"is_lead":false,"saved_state":{"id":374,"name":"Carlsberg Foundation, Copenhagen, Denmark","grant":"R77-A6854","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8053,"fairsharing_record_id":1832,"organisation_id":1732,"relation":"funds","created_at":"2021-09-30T09:30:39.997Z","updated_at":"2021-09-30T09:30:40.052Z","grant_id":812,"is_lead":false,"saved_state":{"id":1732,"name":"Lundbeck Foundation, Copenhagen, Denmark","grant":"R54-A5441","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":865,"fairsharing_record_id":1832,"organisation_id":465,"relation":"maintains","created_at":"2021-09-30T09:24:46.980Z","updated_at":"2021-09-30T09:24:46.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":465,"name":"Centre for Molecular and Biomolecular Informatics (CMBI), Nijmegen, Netherland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":866,"fairsharing_record_id":1832,"organisation_id":702,"relation":"maintains","created_at":"2021-09-30T09:24:47.017Z","updated_at":"2021-09-30T09:24:47.017Z","grant_id":null,"is_lead":true,"saved_state":{"id":702,"name":"Department of Drug Design and Pharmacology, University of Copenhagen","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":863,"fairsharing_record_id":1832,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:24:46.908Z","updated_at":"2021-09-30T09:30:16.921Z","grant_id":635,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"DE-ORPHAN 639125","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":864,"fairsharing_record_id":1832,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:24:46.947Z","updated_at":"2021-09-30T09:30:54.850Z","grant_id":933,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"PL 950224","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":871,"fairsharing_record_id":1832,"organisation_id":638,"relation":"funds","created_at":"2021-09-30T09:24:47.218Z","updated_at":"2021-09-30T09:31:50.252Z","grant_id":1349,"is_lead":false,"saved_state":{"id":638,"name":"Danish Council for Independent Research, Denmark","grant":"1331-00180","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":870,"fairsharing_record_id":1832,"organisation_id":2152,"relation":"funds","created_at":"2021-09-30T09:24:47.176Z","updated_at":"2021-09-30T09:32:23.614Z","grant_id":1599,"is_lead":false,"saved_state":{"id":2152,"name":"NewProt project, European Union","grant":"289350","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":867,"fairsharing_record_id":1832,"organisation_id":1714,"relation":"funds","created_at":"2021-09-30T09:24:47.059Z","updated_at":"2021-09-30T09:32:31.989Z","grant_id":1663,"is_lead":false,"saved_state":{"id":1714,"name":"Life sciences, genomics and biotechnology for health, European Commission (EC) FP6","grant":"LHSG-CT-2004-512092","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1852","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:49.969Z","metadata":{"doi":"10.25504/FAIRsharing.7zffgc","name":"Gene Ontology Annotation Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"goa@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/GOA","citations":[{"doi":"10.1093/nar/gku1113","pubmed_id":25378336,"publication_id":1578}],"identifier":1852,"description":"The GO Annotation Database (GOA) provides Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB), RNA molecules from RNACentral and protein complexes from the Complex Portal. GOA files contain a mixture of manual annotation supplied by members of the Gene Onotology Consortium and computationally assigned GO terms describing gene products. Annotation type is clearly indicated by associated evidence codes and there are links to the source data.","abbreviation":"GOA","data_curation":{"url":"https://www.ebi.ac.uk/GOA/newto","type":"manual/automated","notes":"Manual Annotation Efforts and Electronic Annotation Methods"},"support_links":[{"url":"http://www.ebi.ac.uk/GOA/contactus","name":"Contact GOA","type":"Contact form"},{"url":"https://www.ebi.ac.uk/GOA/faq","name":"GOA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ebi.ac.uk/GOA/newto","name":"GOA Annotation Guide","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"url":"https://www.ebi.ac.uk/GOA/faq","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000313","bsg-d000313"],"name":"FAIRsharing record for: Gene Ontology Annotation Database","abbreviation":"GOA","url":"https://fairsharing.org/10.25504/FAIRsharing.7zffgc","doi":"10.25504/FAIRsharing.7zffgc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GO Annotation Database (GOA) provides Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB), RNA molecules from RNACentral and protein complexes from the Complex Portal. GOA files contain a mixture of manual annotation supplied by members of the Gene Onotology Consortium and computationally assigned GO terms describing gene products. Annotation type is clearly indicated by associated evidence codes and there are links to the source data.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11337},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12162}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Gene Ontology enrichment","Annotation","Ribonucleic acid","Protein-containing complex","Protein","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":350,"pubmed_id":18957448,"title":"The GOA database in 2009--an integrated Gene Ontology Annotation resource.","year":2008,"url":"http://doi.org/10.1093/nar/gkn803","authors":"Barrell D., Dimmer E., Huntley RP., Binns D., O'Donovan C., Apweiler R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn803","created_at":"2021-09-30T08:22:57.674Z","updated_at":"2021-09-30T08:22:57.674Z"},{"id":1578,"pubmed_id":25378336,"title":"The GOA database: gene Ontology annotation updates for 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku1113","authors":"Huntley RP,Sawford T,Mutowo-Meullenet P,Shypitsyna A,Bonilla C,Martin MJ,O'Donovan C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1113","created_at":"2021-09-30T08:25:16.884Z","updated_at":"2021-09-30T11:29:14.411Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2368,"relation":"undefined"}],"grants":[{"id":977,"fairsharing_record_id":1852,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:51.539Z","updated_at":"2021-09-30T09:29:01.077Z","grant_id":56,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5P41HG002273-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7949,"fairsharing_record_id":1852,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:30:01.975Z","updated_at":"2021-09-30T09:30:02.023Z","grant_id":522,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1U41HG006104-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":974,"fairsharing_record_id":1852,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:51.427Z","updated_at":"2021-09-30T09:24:51.427Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":975,"fairsharing_record_id":1852,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:51.459Z","updated_at":"2021-09-30T09:24:51.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":973,"fairsharing_record_id":1852,"organisation_id":2290,"relation":"funds","created_at":"2021-09-30T09:24:51.389Z","updated_at":"2021-09-30T09:30:28.221Z","grant_id":725,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK (PDUK)","grant":"G-1307","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":976,"fairsharing_record_id":1852,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:24:51.497Z","updated_at":"2021-09-30T09:31:41.513Z","grant_id":1285,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","grant":"RG/13/5/30112","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1841","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:10.074Z","metadata":{"doi":"10.25504/FAIRsharing.3zqvaf","name":"Sol Genomics Network","status":"ready","contacts":[{"contact_email":"sgn-feedback@solgenomics.net"}],"homepage":"https://solgenomics.net","citations":[{"doi":"10.1093/nar/gku1195","pubmed_id":25428362,"publication_id":1263}],"identifier":1841,"description":"The Sol Genomics Network (SGN) is a database and website dedicated to the genomic information of the Solanaceae family, which includes species such as tomato, potato, pepper, petunia and eggplant.","abbreviation":"SGN","data_curation":{"type":"not found"},"support_links":[{"url":"https://solgenomics.net/contact/form/","name":"Contact SGN","type":"Contact form"},{"url":"https://solgenomics.net/help/faq.pl","name":"SGN FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://solgenomics.net/forum/topics.pl","name":"SGN Forum","type":"Forum"},{"url":"https://solgenomics.net/help/index.pl","name":"SGN Help","type":"Help documentation"},{"url":"https://twitter.com/solgenomics","name":"@solgenomics","type":"Twitter"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012078","name":"re3data:r3d100012078","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004933","name":"SciCrunch:RRID:SCR_004933","portal":"SciCrunch"}],"data_access_condition":{"url":"https://solgenomics.net/ftp/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://solgenomics.net/help/index.pl","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000301","bsg-d000301"],"name":"FAIRsharing record for: Sol Genomics Network","abbreviation":"SGN","url":"https://fairsharing.org/10.25504/FAIRsharing.3zqvaf","doi":"10.25504/FAIRsharing.3zqvaf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sol Genomics Network (SGN) is a database and website dedicated to the genomic information of the Solanaceae family, which includes species such as tomato, potato, pepper, petunia and eggplant.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11618}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Genomics","Agriculture","Comparative Genomics"],"domains":["Network model","Small molecule","Pathway model","Genome"],"taxonomies":["Rubiaceae","Solanaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":355,"pubmed_id":20935049,"title":"The Sol Genomics Network (solgenomics.net): growing tomatoes using Perl.","year":2010,"url":"http://doi.org/10.1093/nar/gkq866","authors":"Bombarely A., Menda N., Tecle IY., Buels RM., Strickler S., Fischer-York T., Pujar A., Leto J., Gosselin J., Mueller LA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq866","created_at":"2021-09-30T08:22:58.192Z","updated_at":"2021-09-30T08:22:58.192Z"},{"id":1263,"pubmed_id":25428362,"title":"The Sol Genomics Network (SGN)--from genotype to phenotype to breeding.","year":2014,"url":"http://doi.org/10.1093/nar/gku1195","authors":"Fernandez-Pozo N,Menda N,Edwards JD,Saha S,Tecle IY,Strickler SR,Bombarely A,Fisher-York T,Pujar A,Foerster H,Yan A,Mueller LA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1195","created_at":"2021-09-30T08:24:40.915Z","updated_at":"2021-09-30T11:29:04.434Z"}],"licence_links":[{"licence_name":"2009 Toronto Statement on Benefits and Best Practices of Rapid Pre-Publication Data Release","licence_id":1,"licence_url":"https://dx.doi.org/10.1038%2F461168a","link_id":2370,"relation":"undefined"}],"grants":[{"id":892,"fairsharing_record_id":1841,"organisation_id":2120,"relation":"funds","created_at":"2021-09-30T09:24:48.044Z","updated_at":"2021-09-30T09:24:48.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":2120,"name":"Nestle, Vevey, Switzerland","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":893,"fairsharing_record_id":1841,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:48.086Z","updated_at":"2021-09-30T09:29:34.487Z","grant_id":307,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"9975866","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":895,"fairsharing_record_id":1841,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:24:48.166Z","updated_at":"2021-09-30T09:24:48.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":896,"fairsharing_record_id":1841,"organisation_id":2272,"relation":"maintains","created_at":"2021-09-30T09:24:48.203Z","updated_at":"2021-09-30T09:24:48.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":2272,"name":"Oregon State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":894,"fairsharing_record_id":1841,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:48.128Z","updated_at":"2021-09-30T09:32:02.361Z","grant_id":1440,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"2007-02777","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8408,"fairsharing_record_id":1841,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:31.001Z","updated_at":"2021-09-30T09:32:31.061Z","grant_id":1656,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0820612","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8432,"fairsharing_record_id":1841,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:37.185Z","updated_at":"2021-09-30T09:32:37.245Z","grant_id":1703,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"9872617","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1853","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:04:47.180Z","metadata":{"doi":"10.25504/FAIRsharing.q1fdkc","name":"Integrated relational Enzyme database","status":"ready","contacts":[{"contact_name":"General EBI Support","contact_email":"support@ebi.ac.uk","contact_orcid":null}],"homepage":"http://www.ebi.ac.uk/intenz","citations":[],"identifier":1853,"description":"IntEnz is a freely available resource focused on enzyme nomenclature. IntEnz contains the recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB) on the nomenclature and classification of enzyme-catalysed reactions.","abbreviation":"IntEnz","data_curation":{"url":"https://www.ebi.ac.uk/intenz/advice.jsp","type":"manual","notes":"New enzymes are reviewed by internal and external experts"},"support_links":[{"url":"https://www.ebi.ac.uk/intenz/spotlight.jsp","name":"Enzyme Spotlights","type":"Blog/News"},{"url":"http://www.ebi.ac.uk/intenz/contact.jsp","name":"Contact IntEnz","type":"Contact form"},{"url":"http://www.ebi.ac.uk/intenz/faq.jsp","name":"IntEnz FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/intenz/statistics.jsp","name":"Statistics","type":"Help documentation"},{"url":"https://www.oxfordjournals.org/nar/database/summary/508","name":"NAR Database Summary Page","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/intenz/rules.jsp","name":"Classification Rules","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/intenz/advice.jsp","name":"EC Guidelines","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010803","name":"re3data:r3d100010803","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002992","name":"SciCrunch:RRID:SCR_002992","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/intenz/submissions.jsp","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000314","bsg-d000314"],"name":"FAIRsharing record for: Integrated relational Enzyme database","abbreviation":"IntEnz","url":"https://fairsharing.org/10.25504/FAIRsharing.q1fdkc","doi":"10.25504/FAIRsharing.q1fdkc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IntEnz is a freely available resource focused on enzyme nomenclature. IntEnz contains the recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB) on the nomenclature and classification of enzyme-catalysed reactions.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11338},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12163}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Enzymology"],"domains":["Enzyme Commission number","Enzymatic reaction","Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2750,"pubmed_id":14681451,"title":"IntEnz, the integrated relational enzyme database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh119","authors":"Fleischmann A,Darsow M,Degtyarenko K,Fleischmann W,Boyce S,Axelsen KB,Bairoch A,Schomburg D,Tipton KF,Apweiler R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh119","created_at":"2021-09-30T08:27:38.027Z","updated_at":"2021-09-30T11:29:42.628Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2369,"relation":"undefined"}],"grants":[{"id":978,"fairsharing_record_id":1853,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:51.580Z","updated_at":"2021-09-30T09:24:51.580Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":981,"fairsharing_record_id":1853,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:24:51.695Z","updated_at":"2021-09-30T09:29:34.236Z","grant_id":305,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":979,"fairsharing_record_id":1853,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:51.619Z","updated_at":"2021-09-30T09:24:51.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9157,"fairsharing_record_id":1853,"organisation_id":1533,"relation":"maintains","created_at":"2022-04-11T12:07:18.275Z","updated_at":"2022-04-11T12:07:18.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":1533,"name":"International Union of Biochemistry and Molecular Biology (IUBMB)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1843","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:51:10.220Z","metadata":{"doi":"10.25504/FAIRsharing.drtwnh","name":"figshare","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@figshare.com"}],"homepage":"http://figshare.com/","citations":[],"identifier":1843,"description":"figshare is a generalist, subject-agnostic repository for many different types of digital objects that can be used without cost to researchers. Data can be submitted to the central figshare repository (described here), or institutional repositories using the figshare software can be installed locally, e.g. by universities and publishers. Metadata in figshare is licenced under is CC0. figshare has also partnered with DuraSpace and Chronopolis to offer further assurances that public data will be archived under the stewardship of Chronopolis. figshare is supported through Institutional, Funder, and Governmental service subscriptions.","abbreviation":"figshare","data_curation":{"url":"https://knowledge.figshare.com/curation","type":"manual","notes":"Figshare Curation Services"},"support_links":[{"url":"https://www.facebook.com/FigShare","name":"https://facebook.com/FigShare","type":"Facebook"},{"url":"https://figshare.com/blog","name":"figshare's blog","type":"Blog/News"},{"url":"https://figshare.com/contact","name":"Contact Information","type":"Contact form"},{"url":"https://knowledge.figshare.com","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.figshare.com/","name":"Help Guide","type":"Help documentation"},{"url":"https://vimeo.com/figshare","name":"figshare on Vimeo","type":"Help documentation"},{"url":"https://twitter.com/figshare","name":"@figshare","type":"Twitter"},{"url":"http://figsharecommunity.slack.com/","name":"Slack Community","type":"Forum"},{"url":"info@figshare.com","name":"General Inquiries","type":"Support email"},{"url":"review@figshare.com","name":"Curation Services","type":"Support email"},{"url":"support@figshare.com","name":"Support","type":"Support email"},{"url":"https://support.figshare.com/support/tickets/new","name":"Support Ticket","type":"Contact form"},{"url":"https://knowledge.figshare.com/plus","name":"Figshare+ Platform (20GB to 5TB+)","type":"Other"},{"url":"https://help.figshare.com/article/file-formats-supported-for-in-browser-viewing","name":"Supported File Formats","type":"Help documentation"},{"url":"https://help.figshare.com/article/guide-to-sharing-data-on-figshare-plus","name":"Guide to Sharing Data on Figshare+","type":"Help documentation"},{"url":"https://help.figshare.com/article/figtionary","name":"Figtionary (Glossary \u0026 Open Data Terminology)","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Figshare","name":"figshare Wiki","type":"Wikipedia"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://knowledge.figshare.com/app-category/figshare-tools","name":"Apps \u0026 Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010066","name":"re3data:r3d100010066","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004328","name":"SciCrunch:RRID:SCR_004328","portal":"SciCrunch"}],"data_access_condition":{"url":"https://help.figshare.com/article/data-access-policy","type":"open","notes":"Data Access Policy"},"resource_sustainability":{"url":"https://help.figshare.com/article/product-development-at-figshare","name":"Product Development at Figshare"},"data_contact_information":"no","data_preservation_policy":{"url":"https://help.figshare.com/article/file-backup-and-security-policy","name":"Preservation \u0026 Continuity of Access Policy"},"data_deposition_condition":{"url":"https://figshare.com/features","type":"controlled","notes":"Requires authenticated registration. Up to 20 GB of free storage."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000303","bsg-d000303"],"name":"FAIRsharing record for: figshare","abbreviation":"figshare","url":"https://fairsharing.org/10.25504/FAIRsharing.drtwnh","doi":"10.25504/FAIRsharing.drtwnh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: figshare is a generalist, subject-agnostic repository for many different types of digital objects that can be used without cost to researchers. Data can be submitted to the central figshare repository (described here), or institutional repositories using the figshare software can be installed locally, e.g. by universities and publishers. Metadata in figshare is licenced under is CC0. figshare has also partnered with DuraSpace and Chronopolis to offer further assurances that public data will be archived under the stewardship of Chronopolis. figshare is supported through Institutional, Funder, and Governmental service subscriptions.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10766},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10937},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12920}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Resource metadata","Image","Publication","Multimedia","Data transformation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","New Zealand","South Africa","United Kingdom","United States","European Union"],"publications":[{"id":1223,"pubmed_id":21772785,"title":"FigShare.","year":2011,"url":"http://doi.org/10.4103/0976-500X.81919","authors":"Singh J","journal":"J Pharmacol Pharmacother","doi":"10.4103/0976-500X.81919","created_at":"2021-09-30T08:24:36.333Z","updated_at":"2021-09-30T08:24:36.333Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1926,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1924,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1923,"relation":"undefined"},{"licence_name":"Figshare Copyright and Licensing","licence_id":315,"licence_url":"https://figshare.com/terms","link_id":1922,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1927,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1928,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1925,"relation":"undefined"}],"grants":[{"id":901,"fairsharing_record_id":1843,"organisation_id":762,"relation":"maintains","created_at":"2021-09-30T09:24:48.395Z","updated_at":"2021-09-30T09:24:48.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":762,"name":"Digital Science, London, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":899,"fairsharing_record_id":1843,"organisation_id":531,"relation":"undefined","created_at":"2021-09-30T09:24:48.311Z","updated_at":"2021-09-30T09:24:48.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":531,"name":"Clarivate Analytics, US","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":902,"fairsharing_record_id":1843,"organisation_id":2764,"relation":"undefined","created_at":"2021-09-30T09:24:48.436Z","updated_at":"2021-09-30T09:24:48.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":2764,"name":"The Digital Preservation Network (DPN)","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":903,"fairsharing_record_id":1843,"organisation_id":565,"relation":"undefined","created_at":"2021-09-30T09:24:48.487Z","updated_at":"2021-09-30T09:24:48.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":565,"name":"Committee on Publication Ethics (COPE), UK","types":["Charitable foundation"],"is_lead":false,"relation":"undefined"}},{"id":9375,"fairsharing_record_id":1843,"organisation_id":647,"relation":"maintains","created_at":"2022-04-11T12:07:34.121Z","updated_at":"2022-04-11T12:07:34.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":647,"name":"DataCite","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1844","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-26T15:05:28.609Z","metadata":{"doi":"10.25504/FAIRsharing.353yat","name":"DrugBank","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca","contact_orcid":"0000-0002-3207-2434"}],"homepage":"http://www.drugbank.ca/","citations":[],"identifier":1844,"description":"The DrugBank database is a bioinformatics and chemoinformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. It is a freely available to academics.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=drugbank","name":"Feedback Form","type":"Contact form"},{"url":"http://www.drugbank.ca/faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.drugbank.ca/help","name":"Help Center","type":"Help documentation"},{"url":"https://twitter.com/DrugBankDB","name":"@DrugBankDB","type":"Twitter"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://www.drugbank.ca/search/seqquery","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010544","name":"re3data:r3d100010544","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002700","name":"SciCrunch:RRID:SCR_002700","portal":"SciCrunch"}],"data_access_condition":{"url":"https://go.drugbank.com/about#cite","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000304","bsg-d000304"],"name":"FAIRsharing record for: DrugBank","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.353yat","doi":"10.25504/FAIRsharing.353yat","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DrugBank database is a bioinformatics and chemoinformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. It is a freely available to academics.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16491}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Drug","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1156,"pubmed_id":24203711,"title":"DrugBank 4.0: shedding new light on drug metabolism.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1068","authors":"Law V,Knox C,Djoumbou Y,Jewison T,Guo AC,Liu Y,Maciejewski A,Arndt D,Wilson M,Neveu V,Tang A,Gabriel G,Ly C,Adamjee S,Dame ZT,Han B,Zhou Y,Wishart DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1068","created_at":"2021-09-30T08:24:28.555Z","updated_at":"2021-09-30T11:29:01.009Z"},{"id":1481,"pubmed_id":21059682,"title":"DrugBank 3.0: a comprehensive resource for 'omics' research on drugs.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1126","authors":"Knox C,Law V,Jewison T,Liu P,Ly S,Frolkis A,Pon A,Banco K,Mak C,Neveu V,Djoumbou Y,Eisner R,Guo AC,Wishart DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1126","created_at":"2021-09-30T08:25:05.824Z","updated_at":"2021-09-30T11:29:10.168Z"},{"id":1482,"pubmed_id":18048412,"title":"DrugBank: a knowledgebase for drugs, drug actions and drug targets.","year":2007,"url":"http://doi.org/10.1093/nar/gkm958","authors":"Wishart DS,Knox C,Guo AC,Cheng D,Shrivastava S,Tzur D,Gautam B,Hassanali M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm958","created_at":"2021-09-30T08:25:05.923Z","updated_at":"2021-09-30T11:29:10.276Z"},{"id":1494,"pubmed_id":16381955,"title":"DrugBank: a comprehensive resource for in silico drug discovery and exploration.","year":2005,"url":"http://doi.org/10.1093/nar/gkj067","authors":"Wishart DS,Knox C,Guo AC,Shrivastava S,Hassanali M,Stothard P,Chang Z,Woolsey J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj067","created_at":"2021-09-30T08:25:07.300Z","updated_at":"2021-09-30T11:29:10.876Z"},{"id":4207,"pubmed_id":null,"title":"DrugBank 5.0: a major update to the DrugBank database for 2018","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx1037","authors":"Wishart, David S; Feunang, Yannick D; Guo, An C; Lo, Elvis J; Marcu, Ana; Grant, Jason R; Sajed, Tanvir; Johnson, Daniel; Li, Carin; Sayeeda, Zinat; Assempour, Nazanin; Iynkkaran, Ithayavani; Liu, Yifeng; Maciejewski, Adam; Gale, Nicola; Wilson, Alex; Chin, Lucy; Cummings, Ryan; Le, Diana; Pon, Allison; Knox, Craig; Wilson, Michael; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1037","created_at":"2024-03-26T14:53:44.493Z","updated_at":"2024-03-26T14:53:44.493Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":3566,"relation":"applies_to_content"},{"licence_name":"Drugbank - License required for commercial use","licence_id":253,"licence_url":"http://www.drugbank.ca/about","link_id":529,"relation":"applies_to_content"}],"grants":[{"id":904,"fairsharing_record_id":1844,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:48.524Z","updated_at":"2021-09-30T09:32:46.278Z","grant_id":1770,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","grant":"111062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11611,"fairsharing_record_id":1844,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:37.214Z","updated_at":"2024-03-21T13:59:37.214Z","grant_id":null,"is_lead":false,"saved_state":{"id":3309,"name":"Wishart Lab, University of Alberta","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":11631,"fairsharing_record_id":1844,"organisation_id":1107,"relation":"funds","created_at":"2024-03-26T14:57:10.238Z","updated_at":"2024-03-26T14:57:10.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":1107,"name":"Genome Alberta, Alberta, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11629,"fairsharing_record_id":1844,"organisation_id":2799,"relation":"maintains","created_at":"2024-03-26T14:56:33.657Z","updated_at":"2024-03-26T14:56:33.657Z","grant_id":null,"is_lead":true,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":11630,"fairsharing_record_id":1844,"organisation_id":1109,"relation":"funds","created_at":"2024-03-26T14:57:10.232Z","updated_at":"2024-03-26T14:57:10.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1109,"name":"Genome British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11632,"fairsharing_record_id":1844,"organisation_id":1111,"relation":"funds","created_at":"2024-03-26T14:57:10.252Z","updated_at":"2024-03-26T14:57:10.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaGdFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c90d3aad1d158798ad6de7fea711d6211ac556a8/Screenshot%20from%202024-03-26%2014-51-04.png?disposition=inline","exhaustive_licences":true}},{"id":"1855","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:56:16.963Z","metadata":{"doi":"10.25504/FAIRsharing.pypsym","name":"The European Searchable Tumour Line Database","status":"deprecated","contacts":[{"contact_name":"Steven G. E. Marsh","contact_email":"steven.marsh@ucl.ac.uk","contact_orcid":"0000-0003-2855-4120"}],"homepage":"https://www.ebi.ac.uk/ipd/estdab/","citations":[{"doi":"10.1007/s00262-008-0656-5","pubmed_id":19172270,"publication_id":2756}],"identifier":1855,"description":"The European Searchable Tumour Line Database (ESTDAB) Database and Cell Bank provide a service enabling investigators to search online for HLA typed, immunologically characterised tumour cells.","abbreviation":"IPD-ESTDAB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/ipd/estdab/intro.html","name":"About IPD-ESTDAB","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/estdab/contributecells.html","name":"Contributing Cells","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/estdab/ordercells.html","name":"Ordering Cells","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/estdab/collaborators.html","name":"Collaborators","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2020-02-10","deprecation_reason":"The IPD-ESTDAB database has been part of the IPD project since 2003 and represents a legacy system that is no longer under active development, but is provided to the community for reference purposes (see https://doi.org/10.1007/s00251-019-01133-w for more information).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000316","bsg-d000316"],"name":"FAIRsharing record for: The European Searchable Tumour Line Database","abbreviation":"IPD-ESTDAB","url":"https://fairsharing.org/10.25504/FAIRsharing.pypsym","doi":"10.25504/FAIRsharing.pypsym","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Searchable Tumour Line Database (ESTDAB) Database and Cell Bank provide a service enabling investigators to search online for HLA typed, immunologically characterised tumour cells.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunogenetics","Immunology","Biomedical Science"],"domains":["Deoxyribonucleic acid","Cancer","Human leukocyte antigen complex","Tumor","Small molecule","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":368,"pubmed_id":23180793,"title":"IPD--the Immuno Polymorphism Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1140","authors":"Robinson J., Halliwell JA., McWilliam H., Lopez R., Marsh SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1140","created_at":"2021-09-30T08:22:59.558Z","updated_at":"2021-09-30T08:22:59.558Z"},{"id":2756,"pubmed_id":19172270,"title":"The European searchable tumour line database.","year":2009,"url":"http://doi.org/10.1007/s00262-008-0656-5","authors":"Robinson J,Roberts CH,Dodi IA,Madrigal JA,Pawelec G,Wedel L,Marsh SG","journal":"Cancer Immunol Immunother","doi":"10.1007/s00262-008-0656-5","created_at":"2021-09-30T08:27:38.764Z","updated_at":"2021-09-30T08:27:38.764Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":160,"relation":"undefined"}],"grants":[{"id":991,"fairsharing_record_id":1855,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:24:52.140Z","updated_at":"2021-09-30T09:30:28.758Z","grant_id":728,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"QLRT-2000-01325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":990,"fairsharing_record_id":1855,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.097Z","updated_at":"2021-09-30T09:24:52.097Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1856","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:29:20.543Z","metadata":{"doi":"10.25504/FAIRsharing.3mzbyb","name":"Human Platelet Antigens","status":"deprecated","contacts":[{"contact_name":"Steven G. E. Marsh","contact_email":"steven.marsh@ucl.ac.uk","contact_orcid":"0000-0003-2855-4120"}],"homepage":"http://www.ebi.ac.uk/ipd/hpa/","citations":[{"doi":"10.1046/j.1423-0410.2003.00331.x","pubmed_id":14516468,"publication_id":2757}],"identifier":1856,"description":"The database provides a centralised repository for the data which define the human platelet antigens (HPA). Alloantibodies against human platelet antigens are involved in neonatal alloimmune thrombocytopenia, post-transfusion purpura and refractoriness to random donor platelets.","abbreviation":"IPD-HPA","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/support/ipd.php","name":"IPD Contact Form","type":"Contact form"},{"url":"naw23@cam.ac.uk","name":"Nick Watkins","type":"Support email"}],"year_creation":1990,"data_versioning":"not found","deprecation_date":"2020-02-10","deprecation_reason":"The IPD-HPA database has been part of the IPD project since 2003 and represents a legacy system that is no longer under active development, but is provided to the community for reference purposes (see https://doi.org/10.1007/s00251-019-01133-w for more information).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000317","bsg-d000317"],"name":"FAIRsharing record for: Human Platelet Antigens","abbreviation":"IPD-HPA","url":"https://fairsharing.org/10.25504/FAIRsharing.3mzbyb","doi":"10.25504/FAIRsharing.3mzbyb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database provides a centralised repository for the data which define the human platelet antigens (HPA). Alloantibodies against human platelet antigens are involved in neonatal alloimmune thrombocytopenia, post-transfusion purpura and refractoriness to random donor platelets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Immunology","Biomedical Science"],"domains":["Antigen","Antibody","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Human Platelet Antigens (HPA)"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":368,"pubmed_id":23180793,"title":"IPD--the Immuno Polymorphism Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1140","authors":"Robinson J., Halliwell JA., McWilliam H., Lopez R., Marsh SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1140","created_at":"2021-09-30T08:22:59.558Z","updated_at":"2021-09-30T08:22:59.558Z"},{"id":2757,"pubmed_id":14516468,"title":"Nomenclature of human platelet antigens.","year":2003,"url":"http://doi.org/10.1046/j.1423-0410.2003.00331.x","authors":"Metcalfe P,Watkins NA,Ouwehand WH,Kaplan C,Newman P,Kekomaki R,De Haas M,Aster R,Shibata Y,Smith J,Kiefel V,Santoso S","journal":"Vox Sang","doi":"10.1046/j.1423-0410.2003.00331.x","created_at":"2021-09-30T08:27:38.872Z","updated_at":"2021-09-30T08:27:38.872Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":281,"relation":"undefined"}],"grants":[{"id":993,"fairsharing_record_id":1856,"organisation_id":2001,"relation":"maintains","created_at":"2021-09-30T09:24:52.219Z","updated_at":"2021-09-30T09:24:52.219Z","grant_id":null,"is_lead":false,"saved_state":{"id":2001,"name":"National Institute for Biological Standards and Control (NIBSC), Potters Bar, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":997,"fairsharing_record_id":1856,"organisation_id":100,"relation":"maintains","created_at":"2021-09-30T09:24:52.440Z","updated_at":"2021-09-30T09:24:52.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":100,"name":"Anthony Nolan Research Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":992,"fairsharing_record_id":1856,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:52.180Z","updated_at":"2021-09-30T09:29:14.195Z","grant_id":152,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"P01 111 412","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":994,"fairsharing_record_id":1856,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.324Z","updated_at":"2021-09-30T09:24:52.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":995,"fairsharing_record_id":1856,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:24:52.361Z","updated_at":"2021-09-30T09:29:06.334Z","grant_id":95,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"QLRI-CT-200!-01325","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9139,"fairsharing_record_id":1856,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.053Z","updated_at":"2022-04-11T12:07:17.053Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1857","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:06.581Z","metadata":{"doi":"10.25504/FAIRsharing.h87prx","name":"IPD-KIR - Killer-cell Immunoglobulin-like Receptors","status":"ready","contacts":[{"contact_name":"Steven G. E. Marsh","contact_email":"steven.marsh@ucl.ac.uk","contact_orcid":"0000-0003-2855-4120"}],"homepage":"http://www.ebi.ac.uk/ipd/kir/","identifier":1857,"description":"The database provides a centralised repository for human KIR sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","abbreviation":"IPD-KIR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/support/ipd.php","name":"IPD Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/ipd/kir/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/ANHIG/IPDKIR","name":"GitHub Repository","type":"Github"},{"url":"https://www.ebi.ac.uk/ipd/kir/stats.html","name":"Statistics","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/nomenclature.html","name":"KIR Nomenclature","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/alleles.html","name":"KIR Allele Nomenclature","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/genotypes.html","name":"KIR Genotypes","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/genes.html","name":"KIR Genes","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/ipd/kir/haplotypes.html","name":"KIR Haplotypes","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"https://www.ebi.ac.uk/ipd/kir/align.html","name":"KIR Alignment Tool"},{"url":"https://www.ebi.ac.uk/ipd/kir/blast.html","name":"BLAST"},{"url":"https://www.ebi.ac.uk/ipd/kir/ligand.html","name":"KIR Ligand Calculator"},{"url":"https://www.ebi.ac.uk/ipd/kir/donor_b_content.html","name":"Donor KIR B-content group calculator"},{"url":"https://www.ebi.ac.uk/ipd/kir/ethnicity.html","name":"IPD-KIR Allele Ethnicity Tool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ebi.ac.uk/ipd/kir/submission/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000318","bsg-d000318"],"name":"FAIRsharing record for: IPD-KIR - Killer-cell Immunoglobulin-like Receptors","abbreviation":"IPD-KIR","url":"https://fairsharing.org/10.25504/FAIRsharing.h87prx","doi":"10.25504/FAIRsharing.h87prx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database provides a centralised repository for human KIR sequences. Killer-cell Immunoglobulin-like Receptors (KIR) have been shown to be highly polymorphic at the allelic and haplotypic level. KIRs are members of the immunoglobulin superfamily (IgSF) formerly called Killer-cell Inhibitory Receptors. They are composed of two or three Ig-domains, a transmembrane region and cytoplasmic tail which can in turn be short (activatory) or long (inhibitory). The Leukocyte Receptor Complex (LRC) which encodes KIR genes has been shown to be polymorphic, polygenic and complex like the MHC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Immunology"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Killer-cell Immunoglobulin-like Receptors","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":368,"pubmed_id":23180793,"title":"IPD--the Immuno Polymorphism Database.","year":2012,"url":"http://doi.org/10.1093/nar/gks1140","authors":"Robinson J., Halliwell JA., McWilliam H., Lopez R., Marsh SG.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1140","created_at":"2021-09-30T08:22:59.558Z","updated_at":"2021-09-30T08:22:59.558Z"},{"id":1487,"pubmed_id":19875415,"title":"IPD--the Immuno Polymorphism Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp879","authors":"Robinson J,Mistry K,McWilliam H,Lopez R,Marsh SG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp879","created_at":"2021-09-30T08:25:06.466Z","updated_at":"2021-09-30T11:29:10.426Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":82,"relation":"undefined"}],"grants":[{"id":1000,"fairsharing_record_id":1857,"organisation_id":100,"relation":"maintains","created_at":"2021-09-30T09:24:52.565Z","updated_at":"2021-09-30T09:24:52.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":100,"name":"Anthony Nolan Research Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":998,"fairsharing_record_id":1857,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:24:52.482Z","updated_at":"2021-09-30T09:24:52.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":999,"fairsharing_record_id":1857,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.522Z","updated_at":"2021-09-30T09:24:52.522Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1001,"fairsharing_record_id":1857,"organisation_id":3097,"relation":"maintains","created_at":"2021-09-30T09:24:52.602Z","updated_at":"2021-09-30T09:24:52.602Z","grant_id":null,"is_lead":false,"saved_state":{"id":3097,"name":"University of Minnesota, Minneapolis, MN 55455, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1002,"fairsharing_record_id":1857,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:52.639Z","updated_at":"2021-09-30T09:30:33.158Z","grant_id":761,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P01-CA-111412","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1864","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:42:47.439Z","metadata":{"doi":"10.25504/FAIRsharing.ct66a3","name":"PROCOGNATE","status":"deprecated","contacts":[{"contact_name":"Matthew Bashton","contact_email":"bashton@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/thornton-srv/databases/procognate/index.html","citations":[{"doi":"10.1093/nar/gkm611","pubmed_id":17720712,"publication_id":1164}],"identifier":1864,"description":"PROCOGNATE is a database of cognate ligands for the domains of enzyme structures in CATH, SCOP and Pfam. The database contains an assignment of PDB ligands to the domains of structures as classified by the CATH, SCOP and Pfam databases. Cognate ligands have been identified using data from the ENZYME and KEGG databases and compared to the PDB ligand using graph matching to assess chemical similarity. Cognate ligands from the known reactions in ENZYME and KEGG for a particular enzyme are then assigned to enzymes structures which have EC numbers.","abbreviation":"PROCOGNATE","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/procognate/help.html","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2019-01-10","deprecation_reason":"This resource is no longer maintained as its homepage is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000326","bsg-d000326"],"name":"FAIRsharing record for: PROCOGNATE","abbreviation":"PROCOGNATE","url":"https://fairsharing.org/10.25504/FAIRsharing.ct66a3","doi":"10.25504/FAIRsharing.ct66a3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PROCOGNATE is a database of cognate ligands for the domains of enzyme structures in CATH, SCOP and Pfam. The database contains an assignment of PDB ligands to the domains of structures as classified by the CATH, SCOP and Pfam databases. Cognate ligands have been identified using data from the ENZYME and KEGG databases and compared to the PDB ligand using graph matching to assess chemical similarity. Cognate ligands from the known reactions in ENZYME and KEGG for a particular enzyme are then assigned to enzymes structures which have EC numbers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Small molecule","Enzyme","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1164,"pubmed_id":17720712,"title":"PROCOGNATE: a cognate ligand domain mapping for enzymes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm611","authors":"Bashton M,Nobeli I,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm611","created_at":"2021-09-30T08:24:29.421Z","updated_at":"2021-09-30T11:29:01.601Z"},{"id":1619,"pubmed_id":17034815,"title":"Cognate ligand domain mapping for enzymes.","year":2006,"url":"http://doi.org/10.1016/j.jmb.2006.09.041","authors":"Bashton M,Nobeli I,Thornton JM","journal":"J Mol Biol","doi":"10.1016/j.jmb.2006.09.041","created_at":"2021-09-30T08:25:21.411Z","updated_at":"2021-09-30T08:25:21.411Z"}],"licence_links":[],"grants":[{"id":1029,"fairsharing_record_id":1864,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:53.756Z","updated_at":"2021-09-30T09:24:53.756Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1860","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-19T08:38:26.474Z","metadata":{"doi":"10.25504/FAIRsharing.26ek1v","name":"Protein Data Bank in Europe","status":"ready","contacts":[{"contact_name":"PDBe Helpdesk","contact_email":"pdbehelp@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/pdbe/","citations":[],"identifier":1860,"description":"The Protein Data Bank in Europe (PDBe) is the European resource for the collection, organisation and dissemination of data on biological macromolecular structures. It is a founding member of the worldwide Protein Data Bank which collects, organises and disseminates data on biological macromolecular structures. It provides information about all PDB entries, multiple search and browse facilities, advanced services including PDBePISA, PDBeFold and PDBeMotif, advanced visualisation and validation of NMR and EM structures, tools for bioinformaticians. ","abbreviation":"PDBe","data_curation":{"url":"http://www.wwpdb.org/documentation/procedure","type":"manual/automated"},"support_links":[{"url":"http://www.ebi.ac.uk/support/pdbe","name":"PDBe Contact Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/pdbe/about/contact","name":"Contact Information","type":"Contact form"},{"url":"https://www.ebi.ac.uk/pdbe/documentation","name":"PDBe Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/about/news","name":"News","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/pdbe-quick-tour","name":"PDBe: Quick tour","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-searching-for-biological-macromolecular-structures","name":"PDBe: Searching for biological macromolecular structures","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-exploring-a-protein-data-bank-pdb-entry","name":"PDBe: Exploring a Protein Data Bank (PDB) entry","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-an-introduction-to-search-and-entry-pages-webinar","name":"PDBe: An introduction to search and entry pages: webinar","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pdbe-searching-the-protein-data-bank","name":"PDBe: Searching the Protein Data Bank","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/pdbe/training","name":"PDBe Training","type":"Training documentation"},{"url":"https://twitter.com/PDBeurope","name":"@PDBeurope","type":"Twitter"}],"year_creation":1996,"data_versioning":"yes","associated_tools":[{"url":"http://validate.wwpdb.org","name":"wwPDB Validation Service"},{"url":"https://www.ebi.ac.uk/pdbe/services","name":"Full PDBe Tools List"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010538","name":"re3data:r3d100010538","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004312","name":"SciCrunch:RRID:SCR_004312","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/pdbe/about/public-data-access-statement","type":"open"},"resource_sustainability":{"url":"http://www.wwpdb.org/about/faq","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/pdbe/deposition-services","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000322","bsg-d000322"],"name":"FAIRsharing record for: Protein Data Bank in Europe","abbreviation":"PDBe","url":"https://fairsharing.org/10.25504/FAIRsharing.26ek1v","doi":"10.25504/FAIRsharing.26ek1v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Data Bank in Europe (PDBe) is the European resource for the collection, organisation and dissemination of data on biological macromolecular structures. It is a founding member of the worldwide Protein Data Bank which collects, organises and disseminates data on biological macromolecular structures. It provides information about all PDB entries, multiple search and browse facilities, advanced services including PDBePISA, PDBeFold and PDBeMotif, advanced visualisation and validation of NMR and EM structures, tools for bioinformaticians. ","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11340},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11521},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11839},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12638}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Structural Biology"],"domains":["Protein structure","Drug structure","Deoxyribonucleic acid","Ribonucleic acid","X-ray diffraction","Nuclear Magnetic Resonance (NMR) spectroscopy","Electron density map","Electron microscopy","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1275,"pubmed_id":29126160,"title":"PDBe: towards reusable data delivery infrastructure at protein data bank in Europe.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1070","authors":"Mir S,Alhroub Y,Anyango S,Armstrong DR,Berrisford JM,Clark AR,Conroy MJ,Dana JM,Deshpande M,Gupta D,Gutmanas A,Haslam P,Mak L,Mukhopadhyay A,Nadzirin N,Paysan-Lafosse T,Sehnal D,Sen S,Smart OS,Varadi M,Kleywegt GJ,Velankar S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1070","created_at":"2021-09-30T08:24:42.347Z","updated_at":"2021-09-30T11:29:05.076Z"},{"id":2010,"pubmed_id":27450113,"title":"The archiving and dissemination of biological structure data","year":2016,"url":"http://doi.org/S0959-440X(16)30077-X","authors":"Helen M Berman, Stephen K Burley, Gerard J Kleywegt, John L Markley, Haruki Nakamura, Sameer Velankar","journal":"Current Opinion in Structural Biology","doi":"10.1016/j.sbi.2016.06.018","created_at":"2021-09-30T08:26:06.466Z","updated_at":"2021-09-30T08:26:06.466Z"},{"id":2089,"pubmed_id":22110033,"title":"PDBe: Protein Data Bank in Europe.","year":2011,"url":"http://doi.org/10.1093/nar/gkr998","authors":"Velankar S., Alhroub Y., Best C., Caboche S., Conroy MJ., Dana JM., Fernandez Montecelo MA., van Ginkel G., Golovin A., Gore SP., Gutmanas A., Haslam P., Hendrickx PM., Heuson E., Hirshberg M., John M., Lagerstedt I., Mir S., Newman LE., Oldfield TJ., Patwardhan A., Rinaldi L., Sahni G., Sanz-García E., Sen S., Slowley R., Suarez-Uruena A., Swaminathan GJ., Symmons MF., Vranken WF., Wainwright M., Kleywegt GJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr998","created_at":"2021-09-30T08:26:15.465Z","updated_at":"2021-09-30T08:26:15.465Z"},{"id":2164,"pubmed_id":26476444,"title":"PDBe: improved accessibility of macromolecular structure data from PDB and EMDB.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1047","authors":"Velankar S, van Ginkel G, Alhroub Y, Battle GM, Berrisford JM, Conroy MJ, Dana JM, Gore SP, Gutmanas A, Haslam P, Hendrickx PM, Lagerstedt I, Mir S, Fernandez Montecelo MA, Mukhopadhyay A, Oldfield TJ, Patwardhan A, Sanz-García E, Sen S, Slowley RA, Wainwright ME, Deshpande MS, Iudin A, Sahni G, Salavert Torres J, Hirshberg M, Mak L, Nadzirin N, Armstrong DR, Clark AR, Smart OS, Korir PK, Kleywegt GJ.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkv1047","created_at":"2021-09-30T08:26:23.933Z","updated_at":"2021-09-30T08:26:23.933Z"},{"id":2759,"pubmed_id":31691821,"title":"PDBe: improved findability of macromolecular structure data in the PDB.","year":2019,"url":"http://doi.org/10.1093/nar/gkz990","authors":"Armstrong DR,Berrisford JM,Conroy MJ,Gutmanas A,Anyango S,Choudhary P,Clark AR,Dana JM,Deshpande M,Dunlop R,Gane P,Gaborova R,Gupta D,Haslam P,Koca J,Mak L,Mir S,Mukhopadhyay A,Nadzirin N,Nair S,Paysan-Lafosse T,Pravda L,Sehnal D,Salih O,Smart O,Tolchard J,Varadi M,Svobodova-Varekova R,Zaki H,Kleywegt GJ,Velankar S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz990","created_at":"2021-09-30T08:27:39.086Z","updated_at":"2021-09-30T11:29:42.828Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2781,"relation":"applies_to_content"},{"licence_name":"wwPDB Charter","licence_id":875,"licence_url":"https://www.wwpdb.org/about/agreement","link_id":638,"relation":"undefined"}],"grants":[{"id":1017,"fairsharing_record_id":1860,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:53.295Z","updated_at":"2021-09-30T09:30:53.689Z","grant_id":922,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-1338415","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1015,"fairsharing_record_id":1860,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:53.151Z","updated_at":"2021-09-30T09:31:30.426Z","grant_id":1202,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"104948","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1014,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:24:53.120Z","updated_at":"2021-09-30T09:29:10.260Z","grant_id":123,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M011674/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9740,"fairsharing_record_id":1860,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T09:59:17.726Z","updated_at":"2022-08-02T09:59:17.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1011,"fairsharing_record_id":1860,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:24:53.006Z","updated_at":"2021-09-30T09:30:26.007Z","grant_id":708,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"1RO1 GM079429-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7902,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:35.358Z","updated_at":"2021-09-30T09:29:35.408Z","grant_id":314,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/G022577/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7906,"fairsharing_record_id":1860,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:29:37.592Z","updated_at":"2021-09-30T09:29:37.666Z","grant_id":332,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"284209","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7936,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:55.785Z","updated_at":"2021-09-30T09:29:55.828Z","grant_id":473,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/E007511/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7940,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:57.434Z","updated_at":"2021-09-30T09:29:57.484Z","grant_id":486,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M020428/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8152,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:13.081Z","updated_at":"2021-09-30T09:31:13.140Z","grant_id":1069,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M013146/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8160,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:16.073Z","updated_at":"2021-09-30T09:31:16.124Z","grant_id":1094,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M020347/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8313,"fairsharing_record_id":1860,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:01.896Z","updated_at":"2021-09-30T09:32:01.935Z","grant_id":1436,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"088944","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8364,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:15.909Z","updated_at":"2021-09-30T09:32:15.957Z","grant_id":1540,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/J007471/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10014,"fairsharing_record_id":1860,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.817Z","updated_at":"2022-10-13T09:43:38.817Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8735,"fairsharing_record_id":1860,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-20T11:13:12.000Z","updated_at":"2022-01-20T11:13:12.000Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1018,"fairsharing_record_id":1860,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:53.345Z","updated_at":"2021-09-30T09:31:34.335Z","grant_id":1230,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","grant":"MR/L007835/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8157,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:15.213Z","updated_at":"2021-09-30T09:31:15.262Z","grant_id":1088,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/K016970/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8172,"fairsharing_record_id":1860,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:31:19.605Z","updated_at":"2021-09-30T09:31:19.658Z","grant_id":1120,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"675858","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1012,"fairsharing_record_id":1860,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:53.045Z","updated_at":"2021-09-30T09:24:53.045Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1016,"fairsharing_record_id":1860,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:53.258Z","updated_at":"2021-09-30T09:24:53.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1019,"fairsharing_record_id":1860,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:53.382Z","updated_at":"2021-09-30T09:28:56.010Z","grant_id":21,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"GM079429","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7879,"fairsharing_record_id":1860,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:21.548Z","updated_at":"2021-09-30T09:29:21.595Z","grant_id":211,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R01GM079429-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1013,"fairsharing_record_id":1860,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:24:53.081Z","updated_at":"2021-09-30T09:29:34.249Z","grant_id":305,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8082,"fairsharing_record_id":1860,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:49.581Z","updated_at":"2021-09-30T09:30:49.664Z","grant_id":889,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/K020013/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBblVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--64d8cc6d1de890da25711e3e4eb9bbc0a16903a8/1_1.png?disposition=inline","exhaustive_licences":true}},{"id":"1861","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:57.337Z","metadata":{"doi":"10.25504/FAIRsharing.7vjq5t","name":"PDBsum; at-a-glance overview of macromolecular structures","status":"ready","contacts":[{"contact_name":"Roman Laskowski","contact_email":"roman@ebi.ac.uk","contact_orcid":"0000-0001-5528-0087"}],"homepage":"http://www.ebi.ac.uk/pdbsum","citations":[{"doi":"10.1002/pro.3289","pubmed_id":28875543,"publication_id":1601}],"identifier":1861,"description":"PDBsum provides an overview of every macromolecular structure deposited in the Protein Data Bank (PDB), giving schematic diagrams of the molecules in each structure and of the interactions between them.","abbreviation":"PDBsum","data_curation":{"type":"automated","notes":"Described in literatLaskowski R A (2007). Enhancing the functional annotation of PDB structures in PDBsum using key figures extracted from the literature. Bioinformatics, 23, 1824-1827. [PubMed id: 17384425]"},"support_links":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/cgi-bin/pdbsum/GetPage.pl?pdbcode=n/a\u0026template=doc_about.html","name":"About PDBsum","type":"Help documentation"}],"year_creation":1997,"data_versioning":"not found","associated_tools":[{"url":"http://www.ebi.ac.uk/thornton-srv/databases/pdbsum/Generate.html","name":"PDBsum Generate"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012112","name":"re3data:r3d100012112","portal":"re3data"}],"data_access_condition":{"url":"http://www.ebi.ac.uk/thornton-srv/databases/cgi-bin/pdbsum/GetPage.pl?pdbcode=n/a\u0026template=doc_about.html","type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000323","bsg-d000323"],"name":"FAIRsharing record for: PDBsum; at-a-glance overview of macromolecular structures","abbreviation":"PDBsum","url":"https://fairsharing.org/10.25504/FAIRsharing.7vjq5t","doi":"10.25504/FAIRsharing.7vjq5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBsum provides an overview of every macromolecular structure deposited in the Protein Data Bank (PDB), giving schematic diagrams of the molecules in each structure and of the interactions between them.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12639}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology"],"domains":["Molecular interaction","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1491,"pubmed_id":24153109,"title":"PDBsum additions.","year":2013,"url":"http://doi.org/10.1093/nar/gkt940","authors":"de Beer TA,Berka K,Thornton JM,Laskowski RA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt940","created_at":"2021-09-30T08:25:06.942Z","updated_at":"2021-09-30T11:29:10.676Z"},{"id":1601,"pubmed_id":28875543,"title":"PDBsum: Structural summaries of PDB entries.","year":2017,"url":"http://doi.org/10.1002/pro.3289","authors":"Laskowski RA,Jablonska J,Pravda L,Varekova RS,Thornton JM","journal":"Protein Sci","doi":"10.1002/pro.3289","created_at":"2021-09-30T08:25:19.495Z","updated_at":"2021-09-30T08:25:19.495Z"},{"id":1602,"pubmed_id":18996896,"title":"PDBsum new things.","year":2008,"url":"http://doi.org/10.1093/nar/gkn860","authors":"Laskowski RA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn860","created_at":"2021-09-30T08:25:19.601Z","updated_at":"2021-09-30T11:29:15.403Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":398,"relation":"undefined"}],"grants":[{"id":1020,"fairsharing_record_id":1861,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:53.424Z","updated_at":"2021-09-30T09:24:53.424Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1021,"fairsharing_record_id":1861,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:24:53.483Z","updated_at":"2021-09-30T09:30:54.649Z","grant_id":931,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","grant":"DE-AC02-06CH1135","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1023,"fairsharing_record_id":1861,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:53.566Z","updated_at":"2021-09-30T09:31:09.075Z","grant_id":1041,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM094585","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1022,"fairsharing_record_id":1861,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:53.524Z","updated_at":"2021-09-30T09:31:31.756Z","grant_id":1210,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272201200026C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1867","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:14:19.264Z","metadata":{"doi":"10.25504/FAIRsharing.fx0mw7","name":"Ensembl","status":"ready","contacts":[{"contact_name":"Help Desk","contact_email":"helpdesk@ensembl.org"}],"homepage":"http://www.ensembl.org/","citations":[{"doi":"10.1093/nar/gkac958","pubmed_id":null,"publication_id":4210}],"identifier":1867,"description":"Ensembl creates, integrates and distributes reference datasets and analysis tools that enable genomics. Ensembl is a genome browser that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation. Ensembl annotate genes, computes multiple alignments, predicts regulatory function and collects disease data.","abbreviation":null,"data_curation":{"url":"http://www.ensembl.org/info/genome/index.html","type":"automated"},"support_links":[{"url":"http://www.ensembl.info/","name":"Blog","type":"Blog/News"},{"url":"https://www.ensembl.org/info/about/contact/","type":"Contact form"},{"url":"helpdesk@ensembl.org","name":"Helpdesk","type":"Support email"},{"url":"https://www.ensembl.org/Help/Faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ensembl.org/info/","name":"Help","type":"Help documentation"},{"url":"http://lists.ensembl.org/mailman/listinfo/dev","name":"API Developers Mailing List","type":"Mailing list"},{"url":"https://www.ensembl.org/info/website/tutorials/sequence.html","name":"Retrieving Sequences","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/userdata.html","name":"Use Your Own Data in Ensembl","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/gene_snps.html","name":"Variants for my Gene","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/compara.html","name":"Compare Genes Across Species","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/expression.html","name":"Gene Expression in Ensembl","type":"Help documentation"},{"url":"https://www.ensembl.org/info/website/gallery.html","name":"Find a Data Display","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-browsing-chordate-genomes","name":"Browsing Chordate Genomes","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-browser-webinar-series-2016","name":"Webinar Series","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-filmed-api-workshop","name":"Filmed API workshop","type":"Training documentation"},{"url":"https://www.ensembl.org/info/website/tutorials/index.html","name":"Tutorials Index","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-genomes-non-chordates-quick-tour","name":"Ensembl Genomes (non-chordates): Quick tour","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-tools-webinar","name":"Ensembl Tools Webinar","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ensembl-variant-effect-predictor-vep-webinar","name":"Ensembl Variant Effect Predictor (VEP): webinar","type":"Training documentation"},{"url":"https://twitter.com/ensembl","name":"@ensembl","type":"Twitter"}],"year_creation":1999,"data_versioning":"no","associated_tools":[{"url":"https://www.ensembl.org/info/docs/tools/vep/index.html","name":"VEP"},{"url":"https://www.ensembl.org/info/docs/tools/index.html","name":"Tools: Complete List"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010228","name":"re3data:r3d100010228","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002344","name":"SciCrunch:RRID:SCR_002344","portal":"SciCrunch"}],"data_access_condition":{"url":"http://www.ensembl.org/info/about/legal/disclaimer.html","type":"open","notes":"Ensembl imposes no restrictions on access to, or use of, the data provided."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Personal submissions can be saved and shared"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000330","bsg-d000330"],"name":"FAIRsharing record for: Ensembl","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.fx0mw7","doi":"10.25504/FAIRsharing.fx0mw7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ensembl creates, integrates and distributes reference datasets and analysis tools that enable genomics. Ensembl is a genome browser that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation. Ensembl annotate genes, computes multiple alignments, predicts regulatory function and collects disease data.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17061},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11344},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11524},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11842},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12643},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15729},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16205}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science","Comparative Genomics"],"domains":["Genetic map","Genome annotation","Genomic assembly","Gene prediction","Genome alignment","Genome visualization","Gene","Genome","Reference genome"],"taxonomies":["Caenorhabditis elegans","Chordata","Drosophila melanogaster","Saccharomyces cerevisiae"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":182,"pubmed_id":25236461,"title":"The Ensembl REST API: Ensembl Data for Any Language.","year":2014,"url":"http://doi.org/10.1093/bioinformatics/btu613","authors":"Yates A,Beal K,Keenan S,McLaren W,Pignatelli M,Ritchie GR,Ruffier M,Taylor K,Vullo A,Flicek P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btu613","created_at":"2021-09-30T08:22:39.882Z","updated_at":"2021-09-30T08:22:39.882Z"},{"id":197,"pubmed_id":27268795,"title":"The Ensembl Variant Effect Predictor.","year":2016,"url":"http://doi.org/10.1186/s13059-016-0974-4","authors":"McLaren W,Gil L,Hunt SE,Riat HS,Ritchie GR,Thormann A,Flicek P,Cunningham F","journal":"Genome Biol","doi":"10.1186/s13059-016-0974-4","created_at":"2021-09-30T08:22:41.589Z","updated_at":"2021-09-30T08:22:41.589Z"},{"id":198,"pubmed_id":22798491,"title":"Incorporating RNA-seq data into the zebrafish Ensembl genebuild.","year":2012,"url":"http://doi.org/10.1101/gr.137901.112","authors":"Collins JE,White S,Searle SM,Stemple DL","journal":"Genome Res","doi":"10.1101/gr.137901.112","created_at":"2021-09-30T08:22:41.681Z","updated_at":"2021-09-30T08:22:41.681Z"},{"id":221,"pubmed_id":15123591,"title":"The Ensembl Web site: mechanics of a genome browser.","year":2004,"url":"http://doi.org/10.1101/gr.1863004","authors":"Stalker J,Gibbins B,Meidl P,Smith J,Spooner W,Hotz HR,Cox AV","journal":"Genome Res","doi":"10.1101/gr.1863004","created_at":"2021-09-30T08:22:43.915Z","updated_at":"2021-09-30T08:22:43.915Z"},{"id":222,"pubmed_id":15123588,"title":"The Ensembl core software libraries.","year":2004,"url":"http://doi.org/10.1101/gr.1857204","authors":"Stabenau A,McVicker G,Melsopp C,Proctor G,Clamp M,Birney E","journal":"Genome Res","doi":"10.1101/gr.1857204","created_at":"2021-09-30T08:22:44.057Z","updated_at":"2021-09-30T08:22:44.057Z"},{"id":237,"pubmed_id":22955987,"title":"GENCODE: the reference human genome annotation for The ENCODE Project.","year":2012,"url":"http://doi.org/10.1101/gr.135350.111","authors":"Harrow J, et al.","journal":"Genome Res","doi":"10.1101/gr.135350.111","created_at":"2021-09-30T08:22:45.582Z","updated_at":"2021-09-30T08:22:45.582Z"},{"id":239,"pubmed_id":21400687,"title":"Disease and phenotype data at Ensembl.","year":2011,"url":"http://doi.org/10.1002/0471142905.hg0611s69","authors":"Spudich GM,Fernandez-Suarez XM","journal":"Curr Protoc Hum Genet","doi":"10.1002/0471142905.hg0611s69","created_at":"2021-09-30T08:22:45.781Z","updated_at":"2021-09-30T08:22:45.781Z"},{"id":245,"pubmed_id":15145580,"title":"Genome information resources - developments at Ensembl.","year":2004,"url":"http://doi.org/10.1016/j.tig.2004.04.002","authors":"Hammond MP,Birney E","journal":"Trends Genet","doi":"10.1016/j.tig.2004.04.002","created_at":"2021-09-30T08:22:46.498Z","updated_at":"2021-09-30T08:22:46.498Z"},{"id":268,"pubmed_id":21785142,"title":"Ensembl BioMarts: a hub for data retrieval across taxonomic space.","year":2011,"url":"http://doi.org/10.1093/database/bar030","authors":"Kinsella RJ,Kahari A,Haider S,Zamora J,Proctor G,Spudich G,Almeida-King J,Staines D,Derwent P,Kerhornou A,Kersey P,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/bar030","created_at":"2021-09-30T08:22:48.965Z","updated_at":"2021-09-30T08:22:48.965Z"},{"id":396,"pubmed_id":25352552,"title":"Ensembl 2015","year":2014,"url":"http://doi.org/10.1093/nar/gku1010","authors":"Cunningham F et al.","journal":"Nucleic Acids Res.","doi":"doi:10.1093/nar/gku1010","created_at":"2021-09-30T08:23:03.063Z","updated_at":"2021-09-30T08:23:03.063Z"},{"id":627,"pubmed_id":16381931,"title":"Ensembl 2006.","year":2005,"url":"http://doi.org/10.1093/nar/gkj133","authors":"Birney E et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj133","created_at":"2021-09-30T08:23:28.924Z","updated_at":"2021-09-30T11:28:48.417Z"},{"id":1467,"pubmed_id":24316576,"title":"Ensembl 2014.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1196","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1196","created_at":"2021-09-30T08:25:04.201Z","updated_at":"2021-09-30T11:29:09.359Z"},{"id":1857,"pubmed_id":26888907,"title":"Ensembl regulation resources.","year":2016,"url":"http://doi.org/10.1093/database/bav119","authors":"Zerbino DR,Johnson N,Juetteman T,Sheppard D,Wilder SP,Lavidas I,Nuhn M,Perry E,Raffaillac-Desfosses Q,Sobral D,Keefe D,Graf S,Ahmed I,Kinsella R,Pritchard B,Brent S,Amode R,Parker A,Trevanion S,Birney E,Dunham I,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/bav119","created_at":"2021-09-30T08:25:48.615Z","updated_at":"2021-09-30T08:25:48.615Z"},{"id":1859,"pubmed_id":27337980,"title":"The Ensembl gene annotation system.","year":2016,"url":"http://doi.org/10.1093/database/baw093","authors":"Aken BL,Ayling S,Barrell D,Clarke L,Curwen V,Fairley S,Fernandez Banet J,Billis K,Garcia Giron C,Hourlier T,Howe K,Kahari A,Kokocinski F,Martin FJ,Murphy DN,Nag R,Ruffier M,Schuster M,Tang YA,Vogel JH,White S,Zadissa A,Flicek P,Searle SM","journal":"Database (Oxford)","doi":"10.1093/database/baw093","created_at":"2021-09-30T08:25:48.840Z","updated_at":"2021-09-30T08:25:48.840Z"},{"id":1884,"pubmed_id":20459808,"title":"Touring Ensembl: a practical guide to genome browsing.","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-295","authors":"Spudich GM,Fernandez-Suarez XM","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-295","created_at":"2021-09-30T08:25:51.940Z","updated_at":"2021-09-30T08:25:51.940Z"},{"id":1885,"pubmed_id":17967807,"title":"Genome browsing with Ensembl: a practical overview.","year":2007,"url":"http://doi.org/10.1093/bfgp/elm025","authors":"Spudich G,Fernandez-Suarez XM,Birney E","journal":"Brief Funct Genomic Proteomic","doi":"10.1093/bfgp/elm025","created_at":"2021-09-30T08:25:52.048Z","updated_at":"2021-09-30T08:25:52.048Z"},{"id":1911,"pubmed_id":21045057,"title":"Ensembl 2011.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1064","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1064","created_at":"2021-09-30T08:25:54.869Z","updated_at":"2021-09-30T11:29:23.560Z"},{"id":1912,"pubmed_id":22086963,"title":"Ensembl 2012.","year":2011,"url":"http://doi.org/10.1093/nar/gkr991","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr991","created_at":"2021-09-30T08:25:54.985Z","updated_at":"2021-09-30T11:29:23.703Z"},{"id":1913,"pubmed_id":23203987,"title":"Ensembl 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1236","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1236","created_at":"2021-09-30T08:25:55.085Z","updated_at":"2021-09-30T11:29:23.795Z"},{"id":2153,"pubmed_id":26980512,"title":"ncRNA orthologies in the vertebrate lineage.","year":2016,"url":"http://doi.org/10.1093/database/bav127","authors":"Pignatelli M,Vilella AJ,Muffato M,Gordon L,White S,Flicek P,Herrero J","journal":"Database (Oxford)","doi":"10.1093/database/bav127","created_at":"2021-09-30T08:26:22.657Z","updated_at":"2021-09-30T08:26:22.657Z"},{"id":2158,"pubmed_id":27141089,"title":"Ensembl comparative genomics resources (Erratum)","year":2016,"url":"http://doi.org/10.1093/database/baw053","authors":"Herrero J,Muffato M,Beal K,Fitzgerald S,Gordon L,Pignatelli M,Vilella AJ,Searle SM,Amode R,Brent S,Spooner W,Kulesha E,Yates A,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/baw053","created_at":"2021-09-30T08:26:23.301Z","updated_at":"2021-09-30T08:26:23.301Z"},{"id":2196,"pubmed_id":15123594,"title":"The Ensembl computing architecture.","year":2004,"url":"http://doi.org/10.1101/gr.1866304","authors":"Cuff JA,Coates GM,Cutts TJ,Rae M","journal":"Genome Res","doi":"10.1101/gr.1866304","created_at":"2021-09-30T08:26:27.548Z","updated_at":"2021-09-30T08:26:27.548Z"},{"id":2257,"pubmed_id":15608235,"title":"Ensembl 2005.","year":2004,"url":"http://doi.org/10.1093/nar/gki138","authors":"Hubbard T et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki138","created_at":"2021-09-30T08:26:34.482Z","updated_at":"2021-09-30T11:29:31.869Z"},{"id":2258,"pubmed_id":15123595,"title":"ESTGenes: alternative splicing from ESTs in Ensembl.","year":2004,"url":"http://doi.org/10.1101/gr.1862204","authors":"Eyras E,Caccamo M,Curwen V,Clamp M","journal":"Genome Res","doi":"10.1101/gr.1862204","created_at":"2021-09-30T08:26:34.641Z","updated_at":"2021-09-30T08:26:34.641Z"},{"id":2268,"pubmed_id":25887522,"title":"The ensembl regulatory build.","year":2015,"url":"http://doi.org/10.1186/s13059-015-0621-5","authors":"Zerbino DR,Wilder SP,Johnson N,Juettemann T,Flicek PR","journal":"Genome Biol","doi":"10.1186/s13059-015-0621-5","created_at":"2021-09-30T08:26:36.205Z","updated_at":"2021-09-30T08:26:36.205Z"},{"id":2270,"pubmed_id":24363377,"title":"WiggleTools: parallel processing of large collections of genome-wide datasets for visualization and statistical analysis.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt737","authors":"Zerbino DR,Johnson N,Juettemann T,Wilder SP,Flicek P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt737","created_at":"2021-09-30T08:26:36.457Z","updated_at":"2021-09-30T08:26:36.457Z"},{"id":2293,"pubmed_id":27899575,"title":"Ensembl 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1104","authors":"Aken BL et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1104","created_at":"2021-09-30T08:26:39.783Z","updated_at":"2021-09-30T11:29:32.469Z"},{"id":2473,"pubmed_id":16874317,"title":"TranscriptSNPView: a genome-wide catalog of mouse coding variation.","year":2006,"url":"http://doi.org/10.1038/ng0806-853a","authors":"Cunningham F,Rios D,Griffiths M,Smith J,Ning Z,Cox T,Flicek P,Marin-Garcin P,Herrero J,Rogers J,van der Weyden L,Bradley A,Birney E,Adams DJ","journal":"Nat Genet","doi":"10.1038/ng0806-853a","created_at":"2021-09-30T08:27:03.236Z","updated_at":"2021-09-30T08:27:03.236Z"},{"id":2474,"pubmed_id":26687719,"title":"Ensembl 2016.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1157","authors":"Yates A et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1157","created_at":"2021-09-30T08:27:03.350Z","updated_at":"2021-09-30T11:29:37.246Z"},{"id":2476,"pubmed_id":18849525,"title":"Genome-wide nucleotide-level mammalian ancestor reconstruction.","year":2008,"url":"http://doi.org/10.1101/gr.076521.108","authors":"Paten B,Herrero J,Fitzgerald S,Beal K,Flicek P,Holmes I,Birney E","journal":"Genome Res","doi":"10.1101/gr.076521.108","created_at":"2021-09-30T08:27:03.585Z","updated_at":"2021-09-30T08:27:03.585Z"},{"id":2490,"pubmed_id":18000006,"title":"Ensembl 2008.","year":2007,"url":"http://doi.org/10.1093/nar/gkm988","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm988","created_at":"2021-09-30T08:27:05.316Z","updated_at":"2021-09-30T11:29:37.978Z"},{"id":2499,"pubmed_id":20459805,"title":"Ensembl variation resources.","year":2010,"url":"http://doi.org/10.1186/1471-2164-11-293","authors":"Chen Y,Cunningham F,Rios D,McLaren WM,Smith J,Pritchard B,Spudich GM,Brent S,Kulesha E,Marin-Garcia P,Smedley D,Birney E,Flicek P","journal":"BMC Genomics","doi":"10.1186/1471-2164-11-293","created_at":"2021-09-30T08:27:06.403Z","updated_at":"2021-09-30T08:27:06.403Z"},{"id":2507,"pubmed_id":12519943,"title":"Ensembl 2002: accommodating comparative genomics.","year":2003,"url":"http://doi.org/10.1093/nar/gkg083","authors":"Clamp M et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg083","created_at":"2021-09-30T08:27:07.689Z","updated_at":"2021-09-30T11:29:38.395Z"},{"id":2508,"pubmed_id":19029536,"title":"EnsemblCompara GeneTrees: Complete, duplication-aware phylogenetic trees in vertebrates.","year":2008,"url":"http://doi.org/10.1101/gr.073585.107","authors":"Vilella AJ,Severin J,Ureta-Vidal A,Heng L,Durbin R,Birney E","journal":"Genome Res","doi":"10.1101/gr.073585.107","created_at":"2021-09-30T08:27:07.790Z","updated_at":"2021-09-30T08:27:07.790Z"},{"id":2719,"pubmed_id":20459810,"title":"A database and API for variation, dense genotyping and resequencing data.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-238","authors":"Rios D,McLaren WM,Chen Y,Birney E,Stabenau A,Flicek P,Cunningham F","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-238","created_at":"2021-09-30T08:27:33.947Z","updated_at":"2021-09-30T08:27:33.947Z"},{"id":2780,"pubmed_id":11752248,"title":"The Ensembl genome database project.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.38","authors":"Hubbard T et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.38","created_at":"2021-09-30T08:27:41.776Z","updated_at":"2021-09-30T11:29:44.328Z"},{"id":2781,"pubmed_id":17148474,"title":"Ensembl 2007.","year":2006,"url":"http://doi.org/10.1093/nar/gkl996","authors":"Hubbard TJ et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl996","created_at":"2021-09-30T08:27:41.885Z","updated_at":"2021-09-30T11:29:44.420Z"},{"id":2783,"pubmed_id":20562413,"title":"Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq330","authors":"McLaren W,Pritchard B,Rios D,Chen Y,Flicek P,Cunningham F","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq330","created_at":"2021-09-30T08:27:42.106Z","updated_at":"2021-09-30T08:27:42.106Z"},{"id":2784,"pubmed_id":19033362,"title":"Ensembl 2009.","year":2008,"url":"http://doi.org/10.1093/nar/gkn828","authors":"Hubbard TJ et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn828","created_at":"2021-09-30T08:27:42.211Z","updated_at":"2021-09-30T11:29:44.511Z"},{"id":2785,"pubmed_id":19906699,"title":"Ensembl's 10th year.","year":2009,"url":"http://doi.org/10.1093/nar/gkp972","authors":"Flicek P et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp972","created_at":"2021-09-30T08:27:42.321Z","updated_at":"2021-09-30T11:29:44.603Z"},{"id":2832,"pubmed_id":26896847,"title":"Ensembl comparative genomics resources.","year":2016,"url":"http://doi.org/10.1093/database/bav096","authors":"Herrero J,Muffato M,Beal K,Fitzgerald S,Gordon L,Pignatelli M,Vilella AJ,Searle SM,Amode R,Brent S,Spooner W,Kulesha E,Yates A,Flicek P","journal":"Database (Oxford)","doi":"10.1093/database/bav096","created_at":"2021-09-30T08:27:48.390Z","updated_at":"2021-09-30T08:27:48.390Z"},{"id":2834,"pubmed_id":15123589,"title":"The Ensembl analysis pipeline.","year":2004,"url":"http://doi.org/10.1101/gr.1859804","authors":"Potter SC,Clarke L,Curwen V,Keenan S,Mongin E,Searle SM,Stabenau A,Storey R,Clamp M","journal":"Genome Res","doi":"10.1101/gr.1859804","created_at":"2021-09-30T08:27:48.621Z","updated_at":"2021-09-30T08:27:48.621Z"},{"id":2835,"pubmed_id":15123590,"title":"The Ensembl automatic gene annotation system.","year":2004,"url":"http://doi.org/10.1101/gr.1858004","authors":"Curwen V,Eyras E,Andrews TD,Clarke L,Mongin E,Searle SM,Clamp M","journal":"Genome Res","doi":"10.1101/gr.1858004","created_at":"2021-09-30T08:27:48.792Z","updated_at":"2021-09-30T08:27:48.792Z"},{"id":2837,"pubmed_id":30407521,"title":"Ensembl 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky1113","authors":"Cunningham F et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1113","created_at":"2021-09-30T08:27:49.020Z","updated_at":"2021-09-30T11:29:44.853Z"},{"id":2838,"pubmed_id":31691826,"title":"Ensembl 2020.","year":2019,"url":"http://doi.org/10.1093/nar/gkz966","authors":"Yates AD, et al","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz966","created_at":"2021-09-30T08:27:49.136Z","updated_at":"2021-09-30T11:29:45.920Z"},{"id":3007,"pubmed_id":20459813,"title":"eHive: an artificial intelligence workflow system for genomic analysis.","year":2010,"url":"http://doi.org/10.1186/1471-2105-11-240","authors":"Severin J,Beal K,Vilella AJ,Fitzgerald S,Schuster M,Gordon L,Ureta-Vidal A,Flicek P,Herrero J","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-11-240","created_at":"2021-09-30T08:28:10.750Z","updated_at":"2021-09-30T08:28:10.750Z"},{"id":3438,"pubmed_id":null,"title":"Ensembl 2022","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1049","authors":"Cunningham, Fiona; Allen, James E; Allen, Jamie; Alvarez-Jarreta, Jorge; Amode, M Ridwan; Armean, Irina M; Austine-Orimoloye, Olanrewaju; Azov, Andrey G; Barnes, If; Bennett, Ruth; Berry, Andrew; Bhai, Jyothish; Bignell, Alexandra; Billis, Konstantinos; Boddu, Sanjay; Brooks, Lucy; Charkhchi, Mehrnaz; Cummins, Carla; Da Rin Fioretto, Luca; Davidson, Claire; Dodiya, Kamalkumar; Donaldson, Sarah; El Houdaigui, Bilal; El Naboulsi, Tamara; Fatima, Reham; Giron, Carlos Garcia; Genez, Thiago; Martinez, Jose Gonzalez; Guijarro-Clarke, Cristina; Gymer, Arthur; Hardy, Matthew; Hollis, Zoe; Hourlier, Thibaut; Hunt, Toby; Juettemann, Thomas; Kaikala, Vinay; Kay, Mike; Lavidas, Ilias; Le, Tuan; Lemos, Diana; Marugán, José Carlos; Mohanan, Shamika; Mushtaq, Aleena; Naven, Marc; Ogeh, Denye N; Parker, Anne; Parton, Andrew; Perry, Malcolm; Piližota, Ivana; Prosovetskaia, Irina; Sakthivel, Manoj Pandian; Salam, Ahamed Imran Abdul; Schmitt, Bianca M; Schuilenburg, Helen; Sheppard, Dan; Pérez-Silva, José G; Stark, William; Steed, Emily; Sutinen, Kyösti; Sukumaran, Ranjit; Sumathipala, Dulika; Suner, Marie-Marthe; Szpak, Michal; Thormann, Anja; Tricomi, Francesca Floriana; Urbina-Gómez, David; Veidenberg, Andres; Walsh, Thomas A; Walts, Brandon; Willhoft, Natalie; Winterbottom, Andrea; Wass, Elizabeth; Chakiachvili, Marc; Flint, Bethany; Frankish, Adam; Giorgetti, Stefano; Haggerty, Leanne; Hunt, Sarah E; IIsley, Garth R; Loveland, Jane E; Martin, Fergal J; Moore, Benjamin; Mudge, Jonathan M; Muffato, Matthieu; Perry, Emily; Ruffier, Magali; Tate, John; Thybert, David; Trevanion, Stephen J; Dyer, Sarah; Harrison, Peter W; Howe, Kevin L; Yates, Andrew D; Zerbino, Daniel R; Flicek, Paul; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1049","created_at":"2022-06-15T07:16:07.911Z","updated_at":"2022-06-15T07:16:07.911Z"},{"id":4210,"pubmed_id":null,"title":"Ensembl 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac958","authors":"Martin, Fergal J; Amode, M Ridwan; Aneja, Alisha; Austine-Orimoloye, Olanrewaju; Azov, Andrey G; Barnes, If; Becker, Arne; Bennett, Ruth; Berry, Andrew; Bhai, Jyothish; Bhurji, Simarpreet Kaur; Bignell, Alexandra; Boddu, Sanjay; Branco Lins, Paulo R; Brooks, Lucy; Ramaraju, Shashank Budhanuru; Charkhchi, Mehrnaz; Cockburn, Alexander; Da Rin Fiorretto, Luca; Davidson, Claire; Dodiya, Kamalkumar; Donaldson, Sarah; El Houdaigui, Bilal; El Naboulsi, Tamara; Fatima, Reham; Giron, Carlos Garcia; Genez, Thiago; Ghattaoraya, Gurpreet S; Martinez, Jose Gonzalez; Guijarro, Cristi; Hardy, Matthew; Hollis, Zoe; Hourlier, Thibaut; Hunt, Toby; Kay, Mike; Kaykala, Vinay; Le, Tuan; Lemos, Diana; Marques-Coelho, Diego; Marugán, José Carlos; Merino, Gabriela Alejandra; Mirabueno, Louisse Paola; Mushtaq, Aleena; Hossain, Syed Nakib; Ogeh, Denye N; Sakthivel, Manoj Pandian; Parker, Anne; Perry, Malcolm; Piližota, Ivana; Prosovetskaia, Irina; Pérez-Silva, José G; Salam, Ahamed Imran Abdul; Saraiva-Agostinho, Nuno; Schuilenburg, Helen; Sheppard, Dan; Sinha, Swati; Sipos, Botond; Stark, William; Steed, Emily; Sukumaran, Ranjit; Sumathipala, Dulika; Suner, Marie-Marthe; Surapaneni, Likhitha; Sutinen, Kyösti; Szpak, Michal; Tricomi, Francesca Floriana; Urbina-Gómez, David; Veidenberg, Andres; Walsh, Thomas A; Walts, Brandon; Wass, Elizabeth; Willhoft, Natalie; Allen, Jamie; Alvarez-Jarreta, Jorge; Chakiachvili, Marc; Flint, Bethany; Giorgetti, Stefano; Haggerty, Leanne; Ilsley, Garth R; Loveland, Jane E; Moore, Benjamin; Mudge, Jonathan M; Tate, John; Thybert, David; Trevanion, Stephen J; Winterbottom, Andrea; Frankish, Adam; Hunt, Sarah E; Ruffier, Magali; Cunningham, Fiona; Dyer, Sarah; Finn, Robert D; Howe, Kevin L; Harrison, Peter W; Yates, Andrew D; Flicek, Paul; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac958","created_at":"2024-03-27T20:58:17.845Z","updated_at":"2024-03-27T20:58:17.845Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2205,"relation":"undefined"},{"licence_name":"Ensembl Legal Disclaimer","licence_id":281,"licence_url":"https://www.ensembl.org/info/about/legal/disclaimer.html","link_id":2207,"relation":"undefined"}],"grants":[{"id":1043,"fairsharing_record_id":1867,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:54.278Z","updated_at":"2021-09-30T09:24:54.278Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9221,"fairsharing_record_id":1867,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.412Z","updated_at":"2022-04-11T12:07:23.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1044,"fairsharing_record_id":1867,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:54.316Z","updated_at":"2021-09-30T09:24:54.316Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1045,"fairsharing_record_id":1867,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:24:54.358Z","updated_at":"2021-09-30T09:24:54.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ1lCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c69627bba21f69132423b7e5a5571540b5d50773/ens.png?disposition=inline","exhaustive_licences":false}},{"id":"1868","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-16T15:45:06.703Z","metadata":{"doi":"10.25504/FAIRsharing.29we0s","name":"HUGO Gene Nomenclature Committee","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"hgnc@genenames.org"}],"homepage":"https://www.genenames.org/","citations":[],"identifier":1868,"description":"The HUGO Gene Nomenclature Committee (HGNC) is responsible for approving unique symbols, names and IDs for human loci, including protein coding genes, ncRNA genes and pseudogenes, to allow unambiguous scientific communication. The HGNC database is the resource for approved human gene nomenclature and is accessed via the website genenames.org. The website displays a page for every named gene and includes curated nomenclature information (including approved, previous and alias gene names and symbols). The website also displays manually curated gene group pages, the HCOP orthology tool and multi-symbol checker, and links to many other resources. HGNC is a Global Core Biodata Resource and an ELIXIR Core Data Resource. ","abbreviation":"HGNC","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://blog.genenames.org/","name":"Blog","type":"Blog/News"},{"url":"https://www.genenames.org/contact/request/","name":"Gene symbol request","type":"Contact form"},{"url":"https://www.genenames.org/contact/feedback/","name":"Feedback","type":"Contact form"},{"url":"https://www.genenames.org/help/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.genenames.org/help/search/","name":"Search help","type":"Help documentation"},{"url":"https://www.genenames.org/about/guidelines/","name":"Guidelines","type":"Help documentation"},{"url":"https://twitter.com/genenames","name":"Twitter","type":"Twitter"}],"year_creation":1979,"data_versioning":"yes","associated_tools":[{"url":"https://www.genenames.org/tools/hcop/","name":"HCOP"},{"url":"https://www.genenames.org/tools/multi-symbol-checker/","name":"Multi-symbol checker"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010901","name":"re3data:r3d100010901","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002827","name":"SciCrunch:RRID:SCR_002827","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.genenames.org/about/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.genenames.org/help/request-symbol/","type":"open","notes":"Curators check that proposed nomenclature is unique and follows the guidelines."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000331","bsg-d000331"],"name":"FAIRsharing record for: HUGO Gene Nomenclature Committee","abbreviation":"HGNC","url":"https://fairsharing.org/10.25504/FAIRsharing.29we0s","doi":"10.25504/FAIRsharing.29we0s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HUGO Gene Nomenclature Committee (HGNC) is responsible for approving unique symbols, names and IDs for human loci, including protein coding genes, ncRNA genes and pseudogenes, to allow unambiguous scientific communication. The HGNC database is the resource for approved human gene nomenclature and is accessed via the website genenames.org. The website displays a page for every named gene and includes curated nomenclature information (including approved, previous and alias gene names and symbols). The website also displays manually curated gene group pages, the HCOP orthology tool and multi-symbol checker, and links to many other resources. HGNC is a Global Core Biodata Resource and an ELIXIR Core Data Resource. ","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10942},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13138},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16198},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19480}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Ontology and Terminology"],"domains":["Gene name","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":375,"pubmed_id":17984084,"title":"The HGNC Database in 2008: a resource for the human genome.","year":2007,"url":"http://doi.org/10.1093/nar/gkm881","authors":"Bruford EA., Lush MJ., Wright MW., Sneddon TP., Povey S., Birney E.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm881","created_at":"2021-09-30T08:23:00.308Z","updated_at":"2021-09-30T08:23:00.308Z"},{"id":772,"pubmed_id":25361968,"title":"Genenames.org: the HGNC resources in 2015.","year":2014,"url":"http://doi.org/10.1093/nar/gku1071","authors":"Gray KA,Yates B,Seal RL,Wright MW,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1071","created_at":"2021-09-30T08:23:45.078Z","updated_at":"2021-09-30T11:28:50.769Z"},{"id":792,"pubmed_id":23161694,"title":"Genenames.org: the HGNC resources in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1066","authors":"Gray KA,Daugherty LC,Gordon SM,Seal RL,Wright MW,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1066","created_at":"2021-09-30T08:23:47.286Z","updated_at":"2021-09-30T11:28:51.500Z"},{"id":1833,"pubmed_id":27799471,"title":"Genenames.org: the HGNC and VGNC resources in 2017.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1033","authors":"Yates B,Braschi B,Gray KA,Seal RL,Tweedie S,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1033","created_at":"2021-09-30T08:25:45.862Z","updated_at":"2021-09-30T11:29:21.369Z"},{"id":2354,"pubmed_id":20929869,"title":"genenames.org: the HGNC resources in 2011.","year":2010,"url":"http://doi.org/10.1093/nar/gkq892","authors":"Seal RL,Gordon SM,Lush MJ,Wright MW,Bruford EA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq892","created_at":"2021-09-30T08:26:49.341Z","updated_at":"2021-09-30T11:29:33.587Z"},{"id":4127,"pubmed_id":30304474,"title":"Genenames.org: the HGNC and VGNC resources in 2019.","year":2019,"url":"https://doi.org/10.1093/nar/gky930","authors":"Braschi B, Denny P, Gray K, Jones T, Seal R, Tweedie S, Yates B, Bruford E","journal":"Nucleic acids research","doi":"10.1093/nar/gky930","created_at":"2024-02-16T11:49:38.252Z","updated_at":"2024-02-16T11:49:38.252Z"},{"id":4128,"pubmed_id":36243972,"title":"Genenames.org: the HGNC resources in 2023.","year":2023,"url":"https://doi.org/10.1093/nar/gkac888","authors":"Seal RL, Braschi B, Gray K, Jones TEM, Tweedie S, Haim-Vilmovsky L, Bruford EA","journal":"Nucleic acids research","doi":"10.1093/nar/gkac888","created_at":"2024-02-16T12:07:36.522Z","updated_at":"2024-02-16T12:07:36.522Z"},{"id":4129,"pubmed_id":33152070,"title":"Genenames.org: the HGNC and VGNC resources in 2021.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa980","authors":"Tweedie S, Braschi B, Gray K, Jones TEM, Seal RL, Yates B, Bruford EA","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa980","created_at":"2024-02-16T12:07:53.091Z","updated_at":"2024-02-16T12:07:53.091Z"},{"id":4130,"pubmed_id":36380364,"title":"The importance of being the HGNC.","year":2022,"url":"https://doi.org/10.1186/s40246-022-00432-w","authors":"Bruford EA, Braschi B, Haim-Vilmovsky L, Jones TEM, Seal RL, Tweedie S","journal":"Human genomics","doi":"10.1186/s40246-022-00432-w","created_at":"2024-02-16T12:16:13.556Z","updated_at":"2024-02-16T12:16:13.556Z"},{"id":4131,"pubmed_id":32747822,"title":"Guidelines for human gene nomenclature.","year":2020,"url":"https://doi.org/10.1038/s41588-020-0669-3","authors":"Bruford EA, Braschi B, Denny P, Jones TEM, Seal RL, Tweedie S","journal":"Nature genetics","doi":"10.1038/s41588-020-0669-3","created_at":"2024-02-16T12:16:41.645Z","updated_at":"2024-02-16T12:16:41.645Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1851,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1850,"relation":"undefined"},{"licence_name":"Privacy Notice for HGNC/VGNC","licence_id":679,"licence_url":"https://www.ebi.ac.uk/data-protection/privacy-notice/hgnc","link_id":1852,"relation":"undefined"},{"licence_name":"Creative Commons Zero v1.0 Universal","licence_id":1008,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","link_id":3502,"relation":"applies_to_content"}],"grants":[{"id":1048,"fairsharing_record_id":1868,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:24:54.465Z","updated_at":"2021-09-30T09:31:05.275Z","grant_id":1010,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"U41HG003345","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11358,"fairsharing_record_id":1868,"organisation_id":352,"relation":"maintains","created_at":"2024-02-16T12:14:14.344Z","updated_at":"2024-02-16T12:14:14.344Z","grant_id":null,"is_lead":true,"saved_state":{"id":352,"name":"University of Cambridge","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1869","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T16:40:52.680Z","metadata":{"doi":"10.25504/FAIRsharing.3q3kvn","name":"Escherichia coli strain K12 genome database","status":"deprecated","contacts":[{"contact_email":"krudd@med.miami.edu"}],"homepage":"http://ecogene.org/","citations":[],"identifier":1869,"description":"The EcoGene database contains updated information about the E. coli K-12 genome and proteome sequences, including extensive gene bibliographies. A major EcoGene focus has been the re-evaluation of translation start sites.","abbreviation":"EcoGene","data_curation":{"type":"not found"},"year_creation":2000,"data_versioning":"not found","associated_tools":[{"url":"http://ecogene.org/ecosearch","name":"search"},{"url":"http://www.ecogene.org/ecoblast","name":"BLAST"},{"url":"http://ecogene.org/ecosearch","name":"search"},{"url":"http://www.ecogene.org/ecoblast","name":"BLAST"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000332","bsg-d000332"],"name":"FAIRsharing record for: Escherichia coli strain K12 genome database","abbreviation":"EcoGene","url":"https://fairsharing.org/10.25504/FAIRsharing.3q3kvn","doi":"10.25504/FAIRsharing.3q3kvn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EcoGene database contains updated information about the E. coli K-12 genome and proteome sequences, including extensive gene bibliographies. A major EcoGene focus has been the re-evaluation of translation start sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Protein","Genome"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":388,"pubmed_id":10592181,"title":"EcoGene: a genome sequence database for Escherichia coli K-12.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.60","authors":"Rudd KE.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.60","created_at":"2021-09-30T08:23:02.041Z","updated_at":"2021-09-30T08:23:02.041Z"}],"licence_links":[],"grants":[{"id":1049,"fairsharing_record_id":1869,"organisation_id":818,"relation":"maintains","created_at":"2021-09-30T09:24:54.508Z","updated_at":"2021-09-30T09:24:54.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":818,"name":"EcoGene, University of Miami, Coral Gables, FL, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1870","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:29:20.653Z","metadata":{"doi":"10.25504/FAIRsharing.286amb","name":"MycoBrowser leprae","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://mycobrowser.epfl.ch/leprosy.html","identifier":1870,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria leprae information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://mycobrowser.epfl.ch/leprosyblastsearch.php","name":"blast"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000333","bsg-d000333"],"name":"FAIRsharing record for: MycoBrowser leprae","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.286amb","doi":"10.25504/FAIRsharing.286amb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria leprae information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium leprae"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1050,"fairsharing_record_id":1870,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.548Z","updated_at":"2021-09-30T09:24:54.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1871","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:18.787Z","metadata":{"doi":"10.25504/FAIRsharing.vfgn70","name":"MycoBrowser marinum","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://mycobrowser.epfl.ch/marinolist.html","identifier":1871,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria marinum information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://mycobrowser.epfl.ch/marinoblastsearch.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000334","bsg-d000334"],"name":"FAIRsharing record for: MycoBrowser marinum","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.vfgn70","doi":"10.25504/FAIRsharing.vfgn70","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria marinum information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium marinum"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1051,"fairsharing_record_id":1871,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.599Z","updated_at":"2021-09-30T09:24:54.599Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1872","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:53:04.839Z","metadata":{"doi":"10.25504/FAIRsharing.wxh9gn","name":"MycoBrowser smegmatis","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://mycobrowser.epfl.ch/smegmalist.html","identifier":1872,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria smegmatis information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://mycobrowser.epfl.ch/smegmablastsearch.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000335","bsg-d000335"],"name":"FAIRsharing record for: MycoBrowser smegmatis","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.wxh9gn","doi":"10.25504/FAIRsharing.wxh9gn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria smegmatis information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium smegmatis"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1052,"fairsharing_record_id":1872,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.641Z","updated_at":"2021-09-30T09:24:54.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1873","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T17:57:41.277Z","metadata":{"doi":"10.25504/FAIRsharing.6s44n0","name":"MycoBrowser tuberculosis","status":"deprecated","contacts":[{"contact_name":"Stewart T. Cole","contact_email":"stewart.cole@epfl.ch","contact_orcid":"0000-0003-1400-5585"}],"homepage":"http://tuberculist.epfl.ch/","citations":[],"identifier":1873,"description":"Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria tuberculosis information.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"tuberculist@epfl.ch","type":"Support email"}],"data_versioning":"not found","associated_tools":[{"url":"http://tuberculist.epfl.ch/blastsearch.php","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000336","bsg-d000336"],"name":"FAIRsharing record for: MycoBrowser tuberculosis","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6s44n0","doi":"10.25504/FAIRsharing.6s44n0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria tuberculosis information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Sequence","Genome"],"taxonomies":["Mycobacterium tuberculosis"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":387,"pubmed_id":20980200,"title":"The MycoBrowser portal: a comprehensive and manually annotated resource for mycobacterial genomes.","year":2010,"url":"http://doi.org/10.1016/j.tube.2010.09.006","authors":"Kapopoulou A., Lew JM., Cole ST.,","journal":"Tuberculosis (Edinb)","doi":"10.1016/j.tube.2010.09.006","created_at":"2021-09-30T08:23:01.941Z","updated_at":"2021-09-30T08:23:01.941Z"}],"licence_links":[],"grants":[{"id":1053,"fairsharing_record_id":1873,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:24:54.682Z","updated_at":"2021-09-30T09:24:54.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1865","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:37:25.113Z","metadata":{"doi":"10.25504/FAIRsharing.mya1ff","name":"The European Genome-phenome Archive","status":"ready","contacts":[{"contact_name":"EGA Helpdesk","contact_email":"helpdesk@ega-archive.org"}],"homepage":"https://ega-archive.org/","citations":[{"doi":"10.1093/nar/gkab1059","pubmed_id":null,"publication_id":3236}],"identifier":1865,"description":"The European Genome-phenome Archive (EGA) is a service for permanent archiving and sharing of personally identifiable genetic, phenotypic, and clinical data generated for the purposes of biomedical research projects or in the context of research-focused healthcare systems. Access to data must be approved by the specified Data Access Committee (DAC).","abbreviation":"EGA","data_curation":{"type":"manual","notes":"Resource managers enrich the contents of the EGA contributing with our knowledge about genomics and the relationship between genomes and phenomes."},"support_links":[{"url":"https://ega-archive.org/access/faq","name":"Access FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ega-archive.org/about/ega/","name":"About EGA","type":"Help documentation"},{"url":"https://ega-archive.org/access/data-access","name":"Data Access Guide","type":"Help documentation"},{"url":"https://twitter.com/EGAarchive","name":"@EGAarchive","type":"Twitter"},{"url":"https://embl-ebi.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=58d299c7-7e25-4b48-8fc3-ad18011ef0b4","name":"How to use star2xml (video)","type":"Training documentation"},{"url":"https://embl-ebi.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=497e5189-5883-4290-941b-ad2800af6636","name":"Programmatic submission to EGA (video)","type":"Training documentation"},{"url":"https://blog.ega-archive.org/","name":"EGA Blog","type":"Blog/News"},{"url":"https://ega-archive.org/need-help/","name":"Help form","type":"Contact form"},{"url":"https://tess.elixir-europe.org/materials/ega-submitter-portal-tutorial","name":"EGA Submitter Portal Tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/introduction-to-exploring-genome-phenome-data-with-ega","name":"Introduction to exploring genome-phenome data with EGA","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/introduction-to-the-ega-and-its-ecosystem-of-tools","name":"Introduction to the EGA and its Ecosystem of Tools","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/the-essentials-of-duo-codes","name":"The essentials of DUO codes","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/hands-on-for-trio-analysis-using-synthetic-datasets-from-rd-connect-gpap-tutorial","name":"Hands-on for 'Trio Analysis using Synthetic Datasets from RD-Connect GPAP' tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/working-with-sensitive-data","name":"Working with sensitive data","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/european-genome-phenome-archive","name":"European Genome-phenome Archive: Quick tour","type":"TeSS links to training materials"},{"url":"https://github.com/EGA-archive","name":"GitHub repository","type":"Github"},{"url":"https://github.com/EbiEga","name":"GitHub EbiEga Repository","type":"Github"},{"url":"ega-announce@lists.ega-archive.org","name":"EGA Announcements Mailing List","type":"Mailing list"},{"url":"https://www.linkedin.com/company/88472098/admin/feed/posts/","name":"EGA LinkedIn Page","type":"Other"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://ega-archive.org/submission/data/file-preparation/egacryptor/","name":"EgaCryptor"},{"url":"https://ega-archive.org/submission/tools/ftp-aspera","name":"File Upload"},{"url":"https://pypi.org/project/pyega3/","name":"pyEGA3 - Secure Download Client"},{"url":"https://github.com/EGA-archive/star2xml","name":"Star2XML"},{"url":"https://github.com/EGA-archive/ega-fuse-client","name":"EGA FUSE client"},{"url":"https://submission.ega-archive.org/","name":"Submitter Portal"},{"url":"https://dac.ega-archive.org/","name":"DAC Portal"},{"url":"https://github.com/EGA-archive/ega-quickview","name":"EGA Quick View"},{"url":"https://ega-archive.org/access/download/metadata/","name":"Metadata API"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011242","name":"re3data:r3d100011242","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004944","name":"SciCrunch:RRID:SCR_004944","portal":"SciCrunch"}],"data_access_condition":{"type":"controlled","notes":"Data at EGA was collected from individuals whose consent agreements authorise data release only for specific research use to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the EGA project."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ega-archive.org/submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000328","bsg-d000328"],"name":"FAIRsharing record for: The European Genome-phenome Archive","abbreviation":"EGA","url":"https://fairsharing.org/10.25504/FAIRsharing.mya1ff","doi":"10.25504/FAIRsharing.mya1ff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Genome-phenome Archive (EGA) is a service for permanent archiving and sharing of personally identifiable genetic, phenotypic, and clinical data generated for the purposes of biomedical research projects or in the context of research-focused healthcare systems. Access to data must be approved by the specified Data Access Committee (DAC).","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10941},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11009},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11342},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11522},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11841},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12243},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12641},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12955},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14189}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Clinical Studies","Phenomics","Biomedical Science","Biology"],"domains":["DNA sequence data","Cancer","Genetic polymorphism","Rare disease","RNA sequencing","Microarray experiment","Whole genome sequencing","Phenotype","Disease phenotype","Genome","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19","Single cell gene expression"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2373,"pubmed_id":26111507,"title":"The European Genome-phenome Archive of human data consented for biomedical research.","year":2015,"url":"http://doi.org/10.1038/ng.3312","authors":"Lappalainen I,Almeida-King J,Kumanduri V et al.","journal":"Nat Genet","doi":"10.1038/ng.3312","created_at":"2021-09-30T08:26:51.694Z","updated_at":"2021-09-30T08:26:51.694Z"},{"id":3236,"pubmed_id":null,"title":"The European Genome-phenome Archive in 2021","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1059","authors":"Freeberg, Mallory Ann; Fromont, Lauren A; D’Altri, Teresa; Romero, Anna Foix; Ciges, Jorge Izquierdo; Jene, Aina; Kerry, Giselle; Moldes, Mauricio; Ariosa, Roberto; Bahena, Silvia; Barrowdale, Daniel; Barbero, Marcos Casado; Fernandez-Orth, Dietmar; Garcia-Linares, Carles; Garcia-Rios, Emilio; Haziza, Frédéric; Juhasz, Bela; Llobet, Oscar Martinez; Milla, Gemma; Mohan, Anand; Rueda, Manuel; Sankar, Aravind; Shaju, Dona; Shimpi, Ashutosh; Singh, Babita; Thomas, Coline; de la Torre, Sabela; Uyan, Umuthan; Vasallo, Claudia; Flicek, Paul; Guigo, Roderic; Navarro, Arcadi; Parkinson, Helen; Keane, Thomas; Rambla, Jordi; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1059","created_at":"2022-02-15T09:38:47.360Z","updated_at":"2022-02-15T09:38:47.360Z"}],"licence_links":[{"licence_name":"EGA Legal Notice and Terms of Data Use","licence_id":263,"licence_url":"https://ega-archive.org/legal-notice","link_id":1322,"relation":"undefined"}],"grants":[{"id":1032,"fairsharing_record_id":1865,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:24:53.865Z","updated_at":"2021-09-30T09:24:53.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Asuntos Economicos y Transformacion Digital","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1036,"fairsharing_record_id":1865,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:54.027Z","updated_at":"2021-09-30T09:24:54.027Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1033,"fairsharing_record_id":1865,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:24:53.908Z","updated_at":"2021-09-30T09:29:39.603Z","grant_id":347,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PT13/0001/0026","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1034,"fairsharing_record_id":1865,"organisation_id":479,"relation":"funds","created_at":"2021-09-30T09:24:53.959Z","updated_at":"2021-09-30T09:31:43.886Z","grant_id":1301,"is_lead":false,"saved_state":{"id":479,"name":"Centro de Excelencia Severo Ochoa","grant":"SEV-2012-0208","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9754,"fairsharing_record_id":1865,"organisation_id":3630,"relation":"maintains","created_at":"2022-08-03T07:16:13.691Z","updated_at":"2022-08-03T07:16:13.691Z","grant_id":null,"is_lead":true,"saved_state":{"id":3630,"name":"Centre for Genomic Regulation","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1035,"fairsharing_record_id":1865,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:53.995Z","updated_at":"2021-09-30T09:29:51.257Z","grant_id":436,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"WT 085475/C/08/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1037,"fairsharing_record_id":1865,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:24:54.054Z","updated_at":"2021-09-30T09:30:15.139Z","grant_id":622,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","grant":"G0800681","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZDg9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e00754101f557d66dde0a63d5347b36a704a76d8/ega-logo.png?disposition=inline","exhaustive_licences":true}},{"id":"1866","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-10T11:52:27.960Z","metadata":{"doi":"10.25504/FAIRsharing.tf6kj8","name":"Reactome","status":"ready","contacts":[{"contact_name":"Reactome Helpdesk","contact_email":"help@reactome.org"}],"homepage":"https://reactome.org","citations":[{"doi":"10.1093/nar/gkz1031","pubmed_id":31691815,"publication_id":2077}],"identifier":1866,"description":"The cornerstone of Reactome is a freely available, open source relational database of signaling and metabolic molecules and their relations organized into biological pathways and processes. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes, vaccines, anti-cancer therapeutics and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways. Examples of biological pathways in Reactome include classical intermediary metabolism, signaling, transcriptional regulation, apoptosis and disease. Inferred orthologous reactions are available for 15 non-human species including mouse, rat, chicken, zebrafish, worm, fly, and yeast.","abbreviation":null,"data_curation":{"url":"https://reactome.org/what-is-reactome","type":"manual"},"support_links":[{"url":"https://reactome.org/content/schema/DatabaseObject","name":"Data Schema","type":"Help documentation"},{"url":"https://reactome.org/documentation","name":"Reactome User Guide","type":"Help documentation"},{"url":"https://reactome.org/documentation/inferred-events","name":"Computationally-inferred Events","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/pathway-visualization-in-the-reactome-pathway-database","name":"Pathway visualization in the Reactome pathway database","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/reactome","name":"Reactome","type":"TeSS links to training materials"},{"url":"https://reactome.org/community/training","name":"Reactome Training Material","type":"Training documentation"},{"url":"https://twitter.com/reactome","name":"@reactome","type":"Twitter"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"https://reactome.org/tools/reactome-fiviz","name":"ReactomeFIVIz"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010861","name":"re3data:r3d100010861","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003485","name":"SciCrunch:RRID:SCR_003485","portal":"SciCrunch"}],"data_access_condition":{"url":"https://reactome.org/what-is-reactome","type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000329","bsg-d000329"],"name":"FAIRsharing record for: Reactome","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tf6kj8","doi":"10.25504/FAIRsharing.tf6kj8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The cornerstone of Reactome is a freely available, open source relational database of signaling and metabolic molecules and their relations organized into biological pathways and processes. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes, vaccines, anti-cancer therapeutics and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways. Examples of biological pathways in Reactome include classical intermediary metabolism, signaling, transcriptional regulation, apoptosis and disease. Inferred orthologous reactions are available for 15 non-human species including mouse, rat, chicken, zebrafish, worm, fly, and yeast.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11059},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11343},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11523},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12164},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12244},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12303},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12642},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16188}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Proteomics","Virology","Life Science","Metabolomics","Transcriptomics","Epidemiology"],"domains":["Reaction data","Protein interaction","Omics data analysis","Signaling","Biological regulation","Molecular interaction","Genetic interaction","Drug interaction","Curated information","Disease","Pathway model"],"taxonomies":["Bos taurus","Caenorhabditis elegans","Canis familiaris","Danio rerio","Dictyostelium discoideum","Drosophila melanogaster","Gallus gallus","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Plasmodium falciparum","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Sus scrofa","Xenopus tropicalis"],"user_defined_tags":["COVID-19"],"countries":["Canada","United Kingdom","United States"],"publications":[{"id":1463,"pubmed_id":29145629,"title":"The Reactome Pathway Knowledgebase.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1132","authors":"Fabregat A,Jupe S,Matthews L,Sidiropoulos K,Gillespie M,Garapati P,Haw R,Jassal B,Korninger F,May B,Milacic M,Roca CD,Rothfels K,Sevilla C,Shamovsky V,Shorser S,Varusai T,Viteri G,Weiser J,Wu G,Stein L,Hermjakob H,D'Eustachio P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1132","created_at":"2021-09-30T08:25:03.473Z","updated_at":"2021-09-30T11:29:09.176Z"},{"id":2077,"pubmed_id":31691815,"title":"The reactome pathway knowledgebase.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1031","authors":"Jassal B,Matthews L,Viteri G,Gong C,Lorente P,Fabregat A,Sidiropoulos K,Cook J,Gillespie M,Haw R,Loney F,May B,Milacic M,Rothfels K,Sevilla C,Shamovsky V,Shorser S,Varusai T,Weiser J,Wu G,Stein L,Hermjakob H,D'Eustachio P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1031","created_at":"2021-09-30T08:26:14.155Z","updated_at":"2021-09-30T11:29:27.977Z"},{"id":2895,"pubmed_id":15608231,"title":"Reactome: a knowledgebase of biological pathways.","year":2004,"url":"http://doi.org/10.1093/nar/gki072","authors":"Joshi-Tope G., Gillespie M., Vastrik I., D'Eustachio P., Schmidt E., de Bono B., Jassal B., Gopinath GR., Wu GR., Matthews L., Lewis S., Birney E., Stein L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki072","created_at":"2021-09-30T08:27:56.474Z","updated_at":"2021-09-30T08:27:56.474Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1266,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1265,"relation":"undefined"},{"licence_name":"Reactome Licence Agreement","licence_id":701,"licence_url":"https://reactome.org/license","link_id":1267,"relation":"undefined"}],"grants":[{"id":1040,"fairsharing_record_id":1866,"organisation_id":2246,"relation":"maintains","created_at":"2021-09-30T09:24:54.170Z","updated_at":"2021-09-30T09:24:54.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":2246,"name":"Ontario Institute For Cancer Research (OICR), Toronto, ON, Canada","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1039,"fairsharing_record_id":1866,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:54.130Z","updated_at":"2021-09-30T09:24:54.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1041,"fairsharing_record_id":1866,"organisation_id":2155,"relation":"maintains","created_at":"2021-09-30T09:24:54.207Z","updated_at":"2021-09-30T09:24:54.207Z","grant_id":null,"is_lead":false,"saved_state":{"id":2155,"name":"New York University Langone Medical Center (NYULMC), New York, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1042,"fairsharing_record_id":1866,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:24:54.246Z","updated_at":"2021-09-30T09:24:54.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1859","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:42.809Z","metadata":{"doi":"10.25504/FAIRsharing.hjybww","name":"Ligand-Gated Ion Channel database","status":"deprecated","contacts":[{"contact_name":"Nicolas Le Novere","contact_email":"lenov@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/compneur-srv/LGICdb/","identifier":1859,"description":"The Ligand-Gated Ion Channel database provides nucleic and proteic sequences of the subunits of ligand-gated ion channels. The database can be used to generate multiple sequence alignments from selected subunits, and gives the atomic coordinates of subunits, or portion of subunits, where available.","abbreviation":"LGICdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ebi.ac.uk/compneur-srv/LGICdb/FAQ.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1994,"data_versioning":"not found","associated_tools":[{"url":"http://www.ebi.ac.uk/fasta/lgicp.html","name":"BLAST"}],"deprecation_date":"2016-12-30","deprecation_reason":"The database has been official frozen and no longer being actively maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000320","bsg-d000320"],"name":"FAIRsharing record for: Ligand-Gated Ion Channel database","abbreviation":"LGICdb","url":"https://fairsharing.org/10.25504/FAIRsharing.hjybww","doi":"10.25504/FAIRsharing.hjybww","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ligand-Gated Ion Channel database provides nucleic and proteic sequences of the subunits of ligand-gated ion channels. The database can be used to generate multiple sequence alignments from selected subunits, and gives the atomic coordinates of subunits, or portion of subunits, where available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science"],"domains":["Ligand","Ion channel activity","Protein","Sequence","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":369,"pubmed_id":9847222,"title":"The Ligand Gated Ion Channel Database.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.340","authors":"Le Novère N., Changeux JP.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/27.1.340","created_at":"2021-09-30T08:22:59.657Z","updated_at":"2021-09-30T08:22:59.657Z"},{"id":851,"pubmed_id":11125117,"title":"LGICdb: the ligand-gated ion channel database.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.294","authors":"Le Novere N,Changeux JP","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.294","created_at":"2021-09-30T08:23:53.926Z","updated_at":"2021-09-30T11:28:53.985Z"},{"id":1618,"pubmed_id":16381861,"title":"LGICdb: a manually curated sequence database after the genomes.","year":2005,"url":"http://doi.org/10.1093/nar/gkj104","authors":"Donizelli M,Djite MA,Le Novere N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj104","created_at":"2021-09-30T08:25:21.302Z","updated_at":"2021-09-30T11:29:16.227Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":491,"relation":"undefined"}],"grants":[{"id":1010,"fairsharing_record_id":1859,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:24:52.965Z","updated_at":"2021-09-30T09:24:52.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1008,"fairsharing_record_id":1859,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:24:52.895Z","updated_at":"2021-09-30T09:24:52.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1009,"fairsharing_record_id":1859,"organisation_id":183,"relation":"maintains","created_at":"2021-09-30T09:24:52.928Z","updated_at":"2021-09-30T09:24:52.928Z","grant_id":null,"is_lead":true,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1879","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:16.671Z","metadata":{"doi":"10.25504/FAIRsharing.f94905","name":"Eukaryotic Pathogen, Vector and Host Informatics Resource","status":"ready","contacts":[{"contact_name":"Christian J. Stoeckert Jr.","contact_email":"stoeckrt@pcbi.upenn.edu"}],"homepage":"https://veupathdb.org/veupathdb/app/","citations":[{"doi":"10.1007/978-1-4939-7737-6_5","pubmed_id":29761457,"publication_id":1203}],"identifier":1879,"description":"The Eukaryotic Pathogen, Vector and Host Informatics Resource (VEuPathDB) focuses on eukaryotic pathogens and invertebrate vectors of infectious diseases, , encompassing data from prior resources devoted to parasitic species (EuPathDB), fungi (FungiDB) and vector species (VectorBase). While each of the taxonomic groups within this resource is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all of these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"VEuPathDB","data_curation":{"url":"https://veupathdb.org/veupathdb/app/#curation","type":"manual/automated"},"support_links":[{"url":"https://veupathdb.org/veupathdb/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://veupathdb.org/veupathdb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/static-content/glossary.html","name":"VEuPathDB Glossary","type":"Help documentation"},{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_User_Documentation.pdf","name":"User Documentation (PDF)","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/search/organism/GenomeDataTypes/result","name":"Statistics","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/static-content/about.html","name":"About Us","type":"Help documentation"},{"url":"https://veupathdb.org/pubcrawler/EuPathDB/","name":"Related Publications","type":"Help documentation"},{"url":"https://veupathdb.org/veupathdb/app/static-content/methods.html","name":"Data Analysis Methods","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011557","name":"re3data:r3d100011557","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004512","name":"SciCrunch:RRID:SCR_004512","portal":"SciCrunch"}],"data_access_condition":{"url":"https://veupathdb.org/veupathdb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://veupathdb.org/veupathdb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://veupathdb.org/veupathdb/app/#submit-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000344","bsg-d000344"],"name":"FAIRsharing record for: Eukaryotic Pathogen, Vector and Host Informatics Resource","abbreviation":"VEuPathDB","url":"https://fairsharing.org/10.25504/FAIRsharing.f94905","doi":"10.25504/FAIRsharing.f94905","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Eukaryotic Pathogen, Vector and Host Informatics Resource (VEuPathDB) focuses on eukaryotic pathogens and invertebrate vectors of infectious diseases, , encompassing data from prior resources devoted to parasitic species (EuPathDB), fungi (FungiDB) and vector species (VectorBase). While each of the taxonomic groups within this resource is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all of these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10767},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10943},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11060},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11346},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12145},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16182}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Molecular biology","Medical Microbiology","Applied Microbiology","Epigenomics","Molecular Infection Biology","Metagenomics","Genomics","Epigenetics","Bioinformatics","Data Mining","Structural Biology","Clinical Studies","Public Health","Health Science","Data Management","Proteomics","Data Quality","Phylogenetics","Immunology","Entomology","Quantitative Genetics","Microbial Genetics","Structural Genomics","Metatranscriptomics","Infectious Disease Medicine","Proteogenomics","Biotechnology","Evolutionary Biology","Molecular Microbiology","Computational Biology","Phylogenomics","Molecular Genetics","Metabolomics","Transcriptomics","Cell Biology","Phenomics","Database Management","Biomedical Science","Comparative Genomics","Parasitology","Microbiology","Omics","Biology","Tropical Medicine","Epidemiology","Systems Biology","Population Genetics"],"domains":["Functional domain","RNA secondary structure","Molecular structure","GC content","Gene report","Protein name","Sequence position","Sequence cluster","Polymerase chain reaction primers","Sequence length","Genetic map","Physical map","Cytogenetic map","Genome map","Nucleic acid sequence alignment","Sequence similarity","Protein structure","Protein domain","Structure alignment (pair)","Codon usage table","Taxonomic classification","Gene name","Resource metadata","Expression data","Nucleic acid sequence","Peptide property","Experimental measurement","Raw microarray data","Biological sample annotation","Protein image","DNA sequence data","RNA sequence","Free text","Geographical location","Gene Ontology enrichment","Annotation","Transmembrane protein prediction","Structure-based sequence alignment","Text mining","Sequence annotation","Genome annotation","PTM site prediction","Transcription factor binding site prediction","Multiple sequence alignment","Genomic assembly","Data retrieval","Computational biological predictions","Validation","Gene prediction","Genome alignment","Genome visualization","Differential gene expression analysis","Clustering","Gene functional annotation","Protein identification","Quantification","Biological network analysis","Protein interaction","Sequence composition, complexity and repeats","Model organism","Function analysis","Data acquisition","DNA structural variation","Biobank","Data identity and mapping","Histone","Carbohydrate","Peptide","Deoxyribonucleic acid","Ribosomal RNA","Metabolite","Nucleic acid","Ribonucleic acid","C-terminal amino acid residue","N-terminal amino acid residue","Nucleotide","Cell line","Cell","Malaria","Tropical","Microscopy","Peptide library","Video","Cellular assay","Next generation DNA sequencing","Quality control","RNAi screening","Omics data analysis","Proteome","Gene model annotation","Alternative splicing","Centromere","Molecular function","Chromatin binding","Cellular component","Nucleus","Chromosome","Mitochondrion","DNA methylation","Translation","Translation initiation","Protein folding","Protein localization","Biological process","RNA splicing","RNA modification","Plastid","Gene expression","Organelle","Post-translational protein modification","Cellular localization","Chromosomal region","Parasite","Pathogen","Evolution","Genetic polymorphism","Transcription factor","Protein Analysis","Protein expression","Workflow","Rare disease","Biological sample","Assay","Polymerase Chain Reaction","Enzyme","Plasmid","Protein expression profiling","DNA sequencing assay","Chromatin immunoprecipitation - DNA sequencing","Host","RNA sequencing","Microarray experiment","Whole genome sequencing","Sequence alignment","Data transformation","Digital curation","Sequencing","Infection","Gene regulatory element","Genetic marker","Phenotype","Disease phenotype","Disease","Mitochondrial genome","Protein","Sequence","Transposable element","Sequence feature","Primer","Exon","Contig","Sequencing read","Splice site","Promoter","Intron","Untranslated region","Messenger RNA","Flanking region","Transfer RNA","Micro RNA","Microsatellite","Experimentally determined","Coding sequence","Pseudogene","Binding site","Signal peptide","Non-coding RNA","Transcript","Single nucleotide polymorphism","Gene","Tandem repeat","Mitochondrial sequence","Plastid sequence","Amino acid sequence","Homologous","Orthologous","Paralogous","16S rRNA","Allele","Genome","Mobile genetic element","Sequence variant","Reference genome","Sequence motif","Long non-coding RNA","Genome-wide association study","Allele frequency","Blood","Genotype","Copy number variation","Microbiome","Infectious disease","FAIR","Biocuration"],"taxonomies":["Acanthamoeba","Aedes aegypti","Anncaliia","Anopheles gambiae","Babesia","Crithidia","Cryptosporidium","Edhazardia","Eimeria","Encephalitozoon","Endotrypanum","Entamoeba","Enterocytozoon","Giardia","Gregarina","Hamiltosporidium","Leishmania","Nematocida","Neospora","Nosema","Plasmodium","Theileria","Toxoplasma","Trichomonas","Trypanosoma","Vavraia","Vittaforma"],"user_defined_tags":[],"countries":["Uganda","United Kingdom","United States"],"publications":[{"id":4,"pubmed_id":25388105,"title":"The Eukaryotic Pathogen Databases: a functional genomic resource integrating data from human and veterinary parasites.","year":2014,"url":"http://doi.org/10.1007/978-1-4939-1438-8_1","authors":"Harb OS,Roos DS","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-1438-8_1","created_at":"2021-09-30T08:22:20.997Z","updated_at":"2021-09-30T08:22:20.997Z"},{"id":72,"pubmed_id":19914931,"title":"EuPathDB: a portal to eukaryotic pathogen databases.","year":2009,"url":"http://doi.org/10.1093/nar/gkp941","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp941","created_at":"2021-09-30T08:22:27.954Z","updated_at":"2021-09-30T08:22:27.954Z"},{"id":1199,"pubmed_id":24936976,"title":"Standardized metadata for human pathogen/vector genomic sequences.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0099979","authors":"Dugan VG,Emrich SJ,Giraldo-Calderon GI et al.","journal":"PLoS One","doi":"10.1371/journal.pone.0099979","created_at":"2021-09-30T08:24:33.566Z","updated_at":"2021-09-30T08:24:33.566Z"},{"id":1203,"pubmed_id":29761457,"title":"EuPathDB: The Eukaryotic Pathogen Genomics Database Resource.","year":2018,"url":"http://doi.org/10.1007/978-1-4939-7737-6_5","authors":"Warrenfeltz S,Basenko EY,Crouch K,Harb OS,Kissinger JC,Roos DS,Shanmugasundram A,Silva-Franco F","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-7737-6_5","created_at":"2021-09-30T08:24:34.049Z","updated_at":"2021-09-30T08:24:34.049Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2384,"relation":"undefined"}],"grants":[{"id":9583,"fairsharing_record_id":1879,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:25:38.222Z","updated_at":"2022-06-08T09:25:38.222Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1075,"fairsharing_record_id":1879,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:24:55.502Z","updated_at":"2021-09-30T09:24:55.502Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1073,"fairsharing_record_id":1879,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.449Z","updated_at":"2021-09-30T09:31:28.002Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1076,"fairsharing_record_id":1879,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.533Z","updated_at":"2021-09-30T09:29:56.410Z","grant_id":478,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN75N93019C00077","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8357,"fairsharing_record_id":1879,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.745Z","updated_at":"2021-09-30T09:32:14.953Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdElCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--941f7c569c6270abb4b4514405a92ab928ae6952/VEuPathDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1880","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:24.293Z","metadata":{"doi":"10.25504/FAIRsharing.e7skwg","name":"GiardiaDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"http://giardiadb.org","citations":[],"identifier":1880,"description":"A detailed study of Giardia lamblia's genome will provide insights into an early evolutionary stage of eukaryotic chromosome organization as well as other aspects of the prokaryotic / eukaryotic divergence.","abbreviation":"GiardiaDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://giardiadb.org/giardiadb/contact.do","type":"Contact form"},{"url":"http://giardiadb.org/giardiadb/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Help documentation"},{"url":"https://twitter.com/EuPathDB","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://giardiadb.org/giardiadb/showQuestion.do?questionFullName=UniversalQuestions.UnifiedBlast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012458","name":"re3data:r3d100012458","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013377","name":"SciCrunch:RRID:SCR_013377","portal":"SciCrunch"}],"data_access_condition":{"url":"https://giardiadb.org/giardiadb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://giardiadb.org/giardiadb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://giardiadb.org/giardiadb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000345","bsg-d000345"],"name":"FAIRsharing record for: GiardiaDB","abbreviation":"GiardiaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.e7skwg","doi":"10.25504/FAIRsharing.e7skwg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A detailed study of Giardia lamblia's genome will provide insights into an early evolutionary stage of eukaryotic chromosome organization as well as other aspects of the prokaryotic / eukaryotic divergence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Chromosome","Genome"],"taxonomies":["Eukaryota","Giardia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1523,"pubmed_id":18824479,"title":"GiardiaDB and TrichDB: integrated genomic resources for the eukaryotic protist pathogens Giardia lamblia and Trichomonas vaginalis.","year":2008,"url":"http://doi.org/10.1093/nar/gkn631","authors":"Aurrecoechea C et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn631","created_at":"2021-09-30T08:25:10.519Z","updated_at":"2021-09-30T08:25:10.519Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":354,"relation":"undefined"}],"grants":[{"id":9582,"fairsharing_record_id":1880,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:25:19.384Z","updated_at":"2022-06-08T09:25:19.384Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1077,"fairsharing_record_id":1880,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.573Z","updated_at":"2021-09-30T09:31:16.692Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0a300e6d973384cb689695662f5f52a5435657a7/giardiaDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1881","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:15.306Z","metadata":{"doi":"10.25504/FAIRsharing.vk0ax6","name":"MicrosporidiaDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"http://microsporidiadb.org/micro/","citations":[],"identifier":1881,"description":"MicrosporidiaDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"MicrosporidiaDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://microsporidiadb.org/micro/contact.do","type":"Contact form"},{"url":"http://microsporidiadb.org/micro/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Help documentation"},{"url":"https://twitter.com/EuPathDB","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://microsporidiadb.org/micro/app/workspace/blast/new","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012459","name":"re3data:r3d100012459","portal":"re3data"}],"data_access_condition":{"url":"https://microsporidiadb.org/micro/app/static-content/about.html#about_use","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://microsporidiadb.org/micro/app/static-content/dataSubmission.html","type":"controlled","notes":"Genomic data must come from INSDC"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000346","bsg-d000346"],"name":"FAIRsharing record for: MicrosporidiaDB","abbreviation":"MicrosporidiaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.vk0ax6","doi":"10.25504/FAIRsharing.vk0ax6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MicrosporidiaDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Pathogen","Genome"],"taxonomies":["Eukaryota","Microsporidia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":72,"pubmed_id":19914931,"title":"EuPathDB: a portal to eukaryotic pathogen databases.","year":2009,"url":"http://doi.org/10.1093/nar/gkp941","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp941","created_at":"2021-09-30T08:22:27.954Z","updated_at":"2021-09-30T08:22:27.954Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":355,"relation":"undefined"}],"grants":[{"id":9581,"fairsharing_record_id":1881,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:59.509Z","updated_at":"2022-06-08T09:24:59.509Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1078,"fairsharing_record_id":1881,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.604Z","updated_at":"2021-09-30T09:31:16.706Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdFFCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--17bd3e34271f701973b3f0f86f7985d08b624bbb/microsporidiaDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1894","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:13.100Z","metadata":{"doi":"10.25504/FAIRsharing.88b6b5","name":"Protein Classification Benchmark Collection","status":"deprecated","contacts":[{"contact_email":"benchmark@icgeb.org"}],"homepage":"http://net.icgeb.org/benchmark/","identifier":1894,"description":"The Protein Classification Benchmark Collection was created in order to create standard datasets on which the performance of machine learning methods can be compared.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://net.icgeb.org/benchmark/index.php?page=30","type":"Help documentation"},{"url":"http://net.icgeb.org/benchmark/index.php?page=01","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://net.icgeb.org/benchmark/index.php?page=10","name":"browse"},{"url":"http://net.icgeb.org/benchmark/index.php?page=60","name":"submit"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000359","bsg-d000359"],"name":"FAIRsharing record for: Protein Classification Benchmark Collection","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.88b6b5","doi":"10.25504/FAIRsharing.88b6b5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Classification Benchmark Collection was created in order to create standard datasets on which the performance of machine learning methods can be compared.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[],"licence_links":[],"grants":[{"id":1121,"fairsharing_record_id":1894,"organisation_id":1477,"relation":"maintains","created_at":"2021-09-30T09:24:56.912Z","updated_at":"2021-09-30T09:24:56.912Z","grant_id":null,"is_lead":false,"saved_state":{"id":1477,"name":"International Centre Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1122,"fairsharing_record_id":1894,"organisation_id":1598,"relation":"maintains","created_at":"2021-09-30T09:24:56.936Z","updated_at":"2021-09-30T09:24:56.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1598,"name":"Jedlik Laboratories: Bioinformatics, Faculty of Information Technology, Pzmny Pter Catholic University, Budapest, Hungary","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1124,"fairsharing_record_id":1894,"organisation_id":37,"relation":"funds","created_at":"2021-09-30T09:24:56.986Z","updated_at":"2021-09-30T09:29:41.595Z","grant_id":361,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","grant":"IAF311011","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1123,"fairsharing_record_id":1894,"organisation_id":2064,"relation":"funds","created_at":"2021-09-30T09:24:56.963Z","updated_at":"2021-09-30T09:29:45.704Z","grant_id":390,"is_lead":false,"saved_state":{"id":2064,"name":"National Research, Development and Innovation Office (NKFIH), Budapest, Hungary","grant":"TET 10-1-2011-0058","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7916,"fairsharing_record_id":1894,"organisation_id":37,"relation":"funds","created_at":"2021-09-30T09:29:41.734Z","updated_at":"2021-09-30T09:29:41.781Z","grant_id":362,"is_lead":false,"saved_state":{"id":37,"name":"Agency for Science Technology and Research, Singapore","grant":"IAF311010","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1895","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-08T11:04:04.216Z","metadata":{"doi":"10.25504/FAIRsharing.sed5tq","name":"BAliBASE","status":"deprecated","contacts":[{"contact_name":"Julie Thompson","contact_email":"julie@igbmc.u-strasbg.fr"}],"homepage":"http://www.lbgi.fr/balibase/","citations":[],"identifier":1895,"description":"BAliBASE; a benchmark alignment database, including enhancements for repeats, transmembrane sequences and circular permutations.","abbreviation":"BAliBASE","data_curation":{"type":"not found"},"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012946","name":"re3data:r3d100012946","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001940","name":"SciCrunch:RRID:SCR_001940","portal":"SciCrunch"}],"deprecation_date":"2024-07-08","deprecation_reason":"The different pages on the website are no longer available. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000360","bsg-d000360"],"name":"FAIRsharing record for: BAliBASE","abbreviation":"BAliBASE","url":"https://fairsharing.org/10.25504/FAIRsharing.sed5tq","doi":"10.25504/FAIRsharing.sed5tq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BAliBASE; a benchmark alignment database, including enhancements for repeats, transmembrane sequences and circular permutations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Deoxyribonucleic acid","Sequence alignment","Sequence","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":390,"pubmed_id":11125126,"title":"BAliBASE (Benchmark Alignment dataBASE): enhancements for repeats, transmembrane sequences and circular permutations.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.323","authors":"Bahr A., Thompson JD., Thierry JC., Poch O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.323","created_at":"2021-09-30T08:23:02.274Z","updated_at":"2021-09-30T08:23:02.274Z"},{"id":1293,"pubmed_id":16044462,"title":"BAliBASE 3.0: latest developments of the multiple sequence alignment benchmark.","year":2005,"url":"http://doi.org/10.1002/prot.20527","authors":"Thompson JD,Koehl P,Ripp R,Poch O","journal":"Proteins","doi":"10.1002/prot.20527","created_at":"2021-09-30T08:24:44.309Z","updated_at":"2021-09-30T08:24:44.309Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":385,"relation":"undefined"}],"grants":[{"id":1125,"fairsharing_record_id":1895,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:24:57.012Z","updated_at":"2021-09-30T09:24:57.012Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1128,"fairsharing_record_id":1895,"organisation_id":1708,"relation":"funds","created_at":"2021-09-30T09:24:57.160Z","updated_at":"2021-09-30T09:24:57.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1708,"name":"Les Hopitaux Universitaires de Strasbourg, Strasbourg, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1126,"fairsharing_record_id":1895,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:24:57.084Z","updated_at":"2021-09-30T09:24:57.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1127,"fairsharing_record_id":1895,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.122Z","updated_at":"2021-09-30T09:24:57.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1896","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:02:50.863Z","metadata":{"doi":"10.25504/FAIRsharing.wqyw8s","name":"Interrupted coding sequences","status":"deprecated","contacts":[{"contact_name":"Odile Lecompte","contact_email":"Odile.Lecompte@igbmc.fr"}],"homepage":"http://www-bio3d-igbmc.u-strasbg.fr/ICDS/","identifier":1896,"description":"ICDS database is a database containing ICDS detected by a similarity-based approach. The definition of each interrupted gene is provided as well as the ICDS genomic localisation with the surrounding sequence.","abbreviation":"ICDS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www-bio3d-igbmc.u-strasbg.fr/ICDS/help.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www-bio3d-igbmc.u-strasbg.fr/ICDS/","name":"BLAST"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000361","bsg-d000361"],"name":"FAIRsharing record for: Interrupted coding sequences","abbreviation":"ICDS","url":"https://fairsharing.org/10.25504/FAIRsharing.wqyw8s","doi":"10.25504/FAIRsharing.wqyw8s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ICDS database is a database containing ICDS detected by a similarity-based approach. The definition of each interrupted gene is provided as well as the ICDS genomic localisation with the surrounding sequence.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12646}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Gene"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":393,"pubmed_id":16381882,"title":"ICDS database: interrupted CoDing sequences in prokaryotic genomes.","year":2005,"url":"http://doi.org/10.1093/nar/gkj060","authors":"Perrodou E., Deshayes C., Muller J., Schaeffer C., Van Dorsselaer A., Ripp R., Poch O., Reyrat JM., Lecompte O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj060","created_at":"2021-09-30T08:23:02.679Z","updated_at":"2021-09-30T08:23:02.679Z"}],"licence_links":[],"grants":[{"id":1131,"fairsharing_record_id":1896,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:24:57.253Z","updated_at":"2021-09-30T09:24:57.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1129,"fairsharing_record_id":1896,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.199Z","updated_at":"2021-09-30T09:24:57.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1130,"fairsharing_record_id":1896,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:57.230Z","updated_at":"2021-09-30T09:24:57.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1132,"fairsharing_record_id":1896,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:24:57.278Z","updated_at":"2021-09-30T09:24:57.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1897","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:38.488Z","metadata":{"doi":"10.25504/FAIRsharing.8ggr5j","name":"PeroxisomeDB","status":"ready","contacts":[{"contact_email":"apujol@idibell.cat"}],"homepage":"http://www.peroxisomedb.org","citations":[],"identifier":1897,"description":"The aim of PEROXISOME database (PeroxisomeDB) is to gather, organise and integrate curated information on peroxisomal genes, their encoded proteins, their molecular function and metabolic pathway they belong to, and their related disorders.","abbreviation":"PeroxisomeDB","data_curation":{"url":"http://www.peroxisomedb.org/","type":"manual/automated","notes":"The aim of PEROXISOME database (PeroxisomeDB) is to gather, organise and integrate curated information on peroxisomal genes,"},"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000362","bsg-d000362"],"name":"FAIRsharing record for: PeroxisomeDB","abbreviation":"PeroxisomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.8ggr5j","doi":"10.25504/FAIRsharing.8ggr5j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of PEROXISOME database (PeroxisomeDB) is to gather, organise and integrate curated information on peroxisomal genes, their encoded proteins, their molecular function and metabolic pathway they belong to, and their related disorders.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Proteomics","Metabolomics"],"domains":["Molecular function","Protein","Pathway model","Gene"],"taxonomies":["Homo sapiens","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["France","Spain"],"publications":[{"id":391,"pubmed_id":19892824,"title":"PeroxisomeDB 2.0: an integrative view of the global peroxisomal metabolome.","year":2009,"url":"http://doi.org/10.1093/nar/gkp935","authors":"Schlüter A., Real-Chicharro A., Gabaldón T., Sánchez-Jiménez F., Pujol A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp935","created_at":"2021-09-30T08:23:02.417Z","updated_at":"2021-09-30T08:23:02.417Z"}],"licence_links":[{"licence_name":"PeroxisomeDB Attribution required","licence_id":658,"licence_url":"http://www.peroxisomedb.org/","link_id":2406,"relation":"undefined"}],"grants":[{"id":1135,"fairsharing_record_id":1897,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.355Z","updated_at":"2021-09-30T09:24:57.355Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1133,"fairsharing_record_id":1897,"organisation_id":2140,"relation":"maintains","created_at":"2021-09-30T09:24:57.304Z","updated_at":"2021-09-30T09:24:57.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":2140,"name":"Neurometabolic Disease Lab, Institut d'Investigacia Biomedica de Bellvitge, Barcelona, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1134,"fairsharing_record_id":1897,"organisation_id":1370,"relation":"maintains","created_at":"2021-09-30T09:24:57.328Z","updated_at":"2021-09-30T09:24:57.328Z","grant_id":null,"is_lead":false,"saved_state":{"id":1370,"name":"Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbXdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--dbd2a4cc26b3f94d77f536adfcafc106acf404e1/CELL-peroxisome-250.jpg?disposition=inline","exhaustive_licences":false}},{"id":"1898","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-02T07:58:33.100Z","metadata":{"doi":"10.25504/FAIRsharing.8d3ka8","name":"ImMunoGeneTics Information System","status":"ready","contacts":[{"contact_name":"Marie-Paule Lefranc","contact_email":"Marie-Paule.Lefranc@igh.cnrs.fr"}],"homepage":"https://www.imgt.org/","citations":[],"identifier":1898,"description":"IMGT is a high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility complex (MHC) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), major histocompatibility complex superfamily (MhcSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates.","abbreviation":"IMGT","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.imgt.org/FAQ/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.imgt.org/download/LIGM-DB/userman_doc.html","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTScientificChart/","name":"IMGT Scientific chart","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTindex/","name":"IMGT Index","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTbloc-notes/","name":"IMGT Bloc-notes","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTposters/","name":"IMGT Posters and diaporama","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTmedical/","name":"IMGT Medical page","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTveterinary/","name":"IMGT Veterinary page","type":"Help documentation"},{"url":"http://www.imgt.org/about/immunoinformatics.php","name":"IMGT Immunoinformatics page","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTbiotechnology/","name":"IMGT Biotechnology page","type":"Help documentation"},{"url":"http://www.imgt.org/IMGTrepertoire/","name":"IMGT Repertoire (IG and TR)","type":"Help documentation"},{"url":"http://www.imgt.org/rss/","name":"Latest news","type":"Blog/News"},{"url":"http://www.imgt.org/IMGTeducation/","name":"IMGT Education","type":"Training documentation"}],"year_creation":1989,"data_versioning":"no","associated_tools":[{"url":"http://www.imgt.org/HighV-QUEST/home.action","name":"IMGT/HighV-QUEST 1.6.5"},{"url":"http://www.imgt.org/StatClonotype/","name":"IMGT/StatClonotype 1.0.3"},{"url":"http://www.imgt.org/IMGT_vquest/vquest","name":"IMGT/V-QUEST 3.4.17"},{"url":"http://www.imgt.org/IMGT_jcta/jcta?livret=0","name":"IMGT/JunctionAnalysis 2.1.9"},{"url":"http://www.imgt.org/Allele-Align/","name":"IMGT/Allele-Align"},{"url":"http://www.imgt.org/genefrequency/query","name":"IMGT/GeneFrequency 2.0.0"},{"url":"http://www.imgt.org/3Dstructure-DB/cgi/DomainGapAlign.cgi","name":"IMGT/DomainGapAlign 4.9.2"},{"url":"http://www.imgt.org/3Dstructure-DB/cgi/Collier-de-Perles.cgi","name":"IMGT/Collier-de-Perles 2.0.0"},{"url":"http://www.imgt.org/3Dstructure-DB/cgi/DomainSuperimpose.cgi","name":"IMGT/DomainSuperimpose"},{"url":"http://www.imgt.org/3Dstructure-DB/","name":"IMGT/StructuralQuery 4.12.2"}],"data_access_condition":{"url":"https://www.imgt.org/#termsofuse","type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000363","bsg-d000363"],"name":"FAIRsharing record for: ImMunoGeneTics Information System","abbreviation":"IMGT","url":"https://fairsharing.org/10.25504/FAIRsharing.8d3ka8","doi":"10.25504/FAIRsharing.8d3ka8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IMGT is a high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility complex (MHC) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), major histocompatibility complex superfamily (MhcSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11347},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12165}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunogenetics","Genetics","Immunology","Life Science"],"domains":["Nucleic acid sequence","Antigen","Immunoglobulin complex","Antibody","Chromosomal region","Small molecule","Receptor","Major histocompatibility complex","Protein","Allele","Genome","Immune system"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":386,"pubmed_id":18978023,"title":"IMGT, the international ImMunoGeneTics information system.","year":2008,"url":"http://doi.org/10.1093/nar/gkn838","authors":"Lefranc MP., Giudicelli V., Ginestoux C., Jabado-Michaloud J., Folch G., Bellahcene F., Wu Y., Gemrot E., Brochet X., Lane J., Regnier L., Ehrenmann F., Lefranc G., Duroux P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn838","created_at":"2021-09-30T08:23:01.849Z","updated_at":"2021-09-30T08:23:01.849Z"},{"id":2419,"pubmed_id":10592230,"title":"IMGT, the international ImMunoGeneTics database.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.219","authors":"Ruiz M,Giudicelli V,Ginestoux C,Stoehr P,Robinson J,Bodmer J,Marsh SG,Bontrop R,Lemaitre M,Lefranc G,Chaume D,Lefranc MP","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.219","created_at":"2021-09-30T08:26:56.848Z","updated_at":"2021-09-30T11:29:35.537Z"},{"id":2420,"pubmed_id":11125093,"title":"IMGT, the international ImMunoGeneTics database.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.207","authors":"Lefranc MP","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.207","created_at":"2021-09-30T08:26:56.957Z","updated_at":"2021-09-30T11:29:35.629Z"},{"id":2455,"pubmed_id":25378316,"title":"IMGT(R), the international ImMunoGeneTics information system(R) 25 years on.","year":2014,"url":"http://doi.org/10.1093/nar/gku1056","authors":"Lefranc MP,Giudicelli V,Duroux P,Jabado-Michaloud J,Folch G,Aouinti S,Carillon E,Duvergey H,Houles A,Paysan-Lafosse T,Hadi-Saljoqi S,Sasorith S,Lefranc G,Kossida S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1056","created_at":"2021-09-30T08:27:01.126Z","updated_at":"2021-09-30T11:29:36.287Z"},{"id":2456,"pubmed_id":9399859,"title":"IMGT, the International ImMunoGeneTics database.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.297","authors":"Lefranc MP,Giudicelli V,Busin C,Bodmer J,Muller W,Bontrop R,Lemaitre M,Malik A,Chaume D","journal":"Nucleic Acids Research","doi":"10.1093/nar/26.1.297","created_at":"2021-09-30T08:27:01.241Z","updated_at":"2021-09-30T11:29:36.436Z"},{"id":2457,"pubmed_id":15608269,"title":"IMGT, the international ImMunoGeneTics information system.","year":2004,"url":"http://doi.org/10.1093/nar/gki065","authors":"Lefranc MP,Giudicelli V,Kaas Q,Duprat E,Jabado-Michaloud J,Scaviner D,Ginestoux C,Clement O,Chaume D,Lefranc G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki065","created_at":"2021-09-30T08:27:01.400Z","updated_at":"2021-09-30T11:29:36.536Z"}],"licence_links":[{"licence_name":"IMGT Academic use","licence_id":430,"licence_url":"http://www.imgt.org/about/termsofuse.php","link_id":337,"relation":"undefined"},{"licence_name":"IMGT Terms of Use","licence_id":431,"licence_url":"http://imgt.org/about/termsofuse.php","link_id":338,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":335,"relation":"undefined"}],"grants":[{"id":1145,"fairsharing_record_id":1898,"organisation_id":893,"relation":"funds","created_at":"2021-09-30T09:24:57.660Z","updated_at":"2021-09-30T09:29:12.960Z","grant_id":142,"is_lead":false,"saved_state":{"id":893,"name":"EU ImmunoGrid","grant":"IST-028069","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1137,"fairsharing_record_id":1898,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:57.405Z","updated_at":"2021-09-30T09:30:53.807Z","grant_id":923,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"BIOSYS06_135457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1142,"fairsharing_record_id":1898,"organisation_id":262,"relation":"funds","created_at":"2021-09-30T09:24:57.552Z","updated_at":"2021-09-30T09:32:19.669Z","grant_id":1568,"is_lead":false,"saved_state":{"id":262,"name":"BIOMED1 European Union","grant":"BIOCT930038","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1143,"fairsharing_record_id":1898,"organisation_id":885,"relation":"funds","created_at":"2021-09-30T09:24:57.590Z","updated_at":"2021-09-30T09:31:54.679Z","grant_id":1382,"is_lead":false,"saved_state":{"id":885,"name":"EU BIOTECH","grant":"BIO4CT96-0037","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1136,"fairsharing_record_id":1898,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:57.379Z","updated_at":"2021-09-30T09:24:57.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1139,"fairsharing_record_id":1898,"organisation_id":3101,"relation":"funds","created_at":"2021-09-30T09:24:57.455Z","updated_at":"2021-09-30T09:24:57.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1144,"fairsharing_record_id":1898,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.623Z","updated_at":"2021-09-30T09:24:57.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":8150,"fairsharing_record_id":1898,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:31:12.364Z","updated_at":"2021-09-30T09:31:12.409Z","grant_id":1063,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-10-LABX-53–01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8875,"fairsharing_record_id":1898,"organisation_id":915,"relation":"funds","created_at":"2022-02-10T17:42:38.107Z","updated_at":"2022-02-10T17:42:38.107Z","grant_id":1829,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"Q L G2-2000-01287","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1138,"fairsharing_record_id":1898,"organisation_id":1059,"relation":"funds","created_at":"2021-09-30T09:24:57.428Z","updated_at":"2021-09-30T09:24:57.428Z","grant_id":null,"is_lead":false,"saved_state":{"id":1059,"name":"French Ministry of Education, Research and Innovation, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1140,"fairsharing_record_id":1898,"organisation_id":1495,"relation":"maintains","created_at":"2021-09-30T09:24:57.478Z","updated_at":"2021-09-30T09:24:57.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":1495,"name":"International ImMunoGeneTics information system (IMGT), Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1899","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:56.131Z","metadata":{"doi":"10.25504/FAIRsharing.7mnebr","name":"Annotated regulatory Binding Sites from Orthologous Promoters","status":"ready","contacts":[{"contact_name":"Enrique Blanco","contact_email":"enrique.blanco@crg.eu","contact_orcid":"0000-0001-6261-7370"},{"contact_name":"Emilio Palumbo","contact_email":"emilio.palumbo@crg.eu","contact_orcid":null},{"contact_name":"Roderic Guigo Serra","contact_email":"roderic.guigo@crg.eu","contact_orcid":null}],"homepage":"https://genome.crg.es/datasets/abs2005/","citations":[],"identifier":1899,"description":"ABS is a database of Annotated regulatory Binding Sites from known binding sites identified in promoters of orthologous vertebrate genes.","abbreviation":"ABS","data_curation":{"url":"https://genome.crg.es/datasets/abs2005/docs.html","type":"manual/automated"},"support_links":[{"url":"http://genome.crg.es/datasets/abs2005/docs.html","type":"Help documentation"},{"url":"http://genome.crg.es/datasets/abs2005/tour.html","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://genome.crg.es/datasets/abs2005/constructor.html","name":"analyze"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000364","bsg-d000364"],"name":"FAIRsharing record for: Annotated regulatory Binding Sites from Orthologous Promoters","abbreviation":"ABS","url":"https://fairsharing.org/10.25504/FAIRsharing.7mnebr","doi":"10.25504/FAIRsharing.7mnebr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ABS is a database of Annotated regulatory Binding Sites from known binding sites identified in promoters of orthologous vertebrate genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Regulation of gene expression","Biological regulation","Molecular interaction","Promoter","Binding site","Gene"],"taxonomies":["Gallus gallus","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":381,"pubmed_id":16381947,"title":"ABS: a database of Annotated regulatory Binding Sites from orthologous promoters.","year":2005,"url":"http://doi.org/10.1093/nar/gkj116","authors":"Blanco E., Farré D., Albà MM., Messeguer X., Guigó R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj116","created_at":"2021-09-30T08:23:01.309Z","updated_at":"2021-09-30T08:23:01.309Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":405,"relation":"undefined"}],"grants":[{"id":9035,"fairsharing_record_id":1899,"organisation_id":1852,"relation":"funds","created_at":"2022-03-28T09:40:48.991Z","updated_at":"2022-03-28T09:40:48.991Z","grant_id":426,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2002-04426-C02-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1147,"fairsharing_record_id":1899,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.730Z","updated_at":"2021-09-30T09:24:57.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1148,"fairsharing_record_id":1899,"organisation_id":2497,"relation":"maintains","created_at":"2021-09-30T09:24:57.770Z","updated_at":"2021-09-30T09:24:57.770Z","grant_id":null,"is_lead":false,"saved_state":{"id":2497,"name":"SBI","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9034,"fairsharing_record_id":1899,"organisation_id":1852,"relation":"funds","created_at":"2022-03-28T09:40:48.978Z","updated_at":"2022-03-28T09:40:48.978Z","grant_id":404,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BIO2000-1358-C02-02","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1900","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:30.272Z","metadata":{"doi":"10.25504/FAIRsharing.tp9z4q","name":"ArchDB","status":"ready","contacts":[{"contact_name":"Narcis Fernandez-Fuentes","contact_email":"narcis.fernandez@gmail.com","contact_orcid":"0000-0002-6421-1080"}],"homepage":"http://sbi.imim.es/archdb","identifier":1900,"description":"ArchDB is a compilation of structural classifications of loops extracted from known protein structures. The structural classification is based on the geometry and conformation of the loop. The geometry is defined by four internal variables and the type of regular flanking secondary structures, resulting in 10 different loop types. Loops in ArchDB have been classified using an improved version (Espadaler et al.) of the original ArchType program published in 1997 by Oliva et al.","abbreviation":"ArchDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://sbi.imim.es/archdb/faq/Q1","type":"Frequently Asked Questions (FAQs)"},{"url":"http://sbi.imim.es/cgi-bin/archdb//loops.pl?help=1","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://sbi.imim.es/archdb/search/","name":"search"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000365","bsg-d000365"],"name":"FAIRsharing record for: ArchDB","abbreviation":"ArchDB","url":"https://fairsharing.org/10.25504/FAIRsharing.tp9z4q","doi":"10.25504/FAIRsharing.tp9z4q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ArchDB is a compilation of structural classifications of loops extracted from known protein structures. The structural classification is based on the geometry and conformation of the loop. The geometry is defined by four internal variables and the type of regular flanking secondary structures, resulting in 10 different loop types. Loops in ArchDB have been classified using an improved version (Espadaler et al.) of the original ArchType program published in 1997 by Oliva et al.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Secondary protein structure","Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":404,"pubmed_id":14681390,"title":"ArchDB: automated protein loop classification as a tool for structural genomics.","year":2003,"url":"http://doi.org/10.1093/nar/gkh002","authors":"Espadaler J., Fernandez-Fuentes N., Hermoso A., Querol E., Aviles FX., Sternberg MJ., Oliva B.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh002","created_at":"2021-09-30T08:23:03.899Z","updated_at":"2021-09-30T08:23:03.899Z"},{"id":1163,"pubmed_id":24265221,"title":"ArchDB 2014: structural classification of loops in proteins.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1189","authors":"Bonet J,Planas-Iglesias J,Garcia-Garcia J,Marin-Lopez MA,Fernandez-Fuentes N,Oliva B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1189","created_at":"2021-09-30T08:24:29.313Z","updated_at":"2021-09-30T11:29:01.502Z"}],"licence_links":[],"grants":[{"id":1150,"fairsharing_record_id":1900,"organisation_id":15,"relation":"funds","created_at":"2021-09-30T09:24:57.820Z","updated_at":"2021-09-30T09:24:57.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":15,"name":"Aberystwyth University, Wales, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1153,"fairsharing_record_id":1900,"organisation_id":2497,"relation":"maintains","created_at":"2021-09-30T09:24:57.917Z","updated_at":"2021-09-30T09:24:57.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":2497,"name":"SBI","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1151,"fairsharing_record_id":1900,"organisation_id":253,"relation":"maintains","created_at":"2021-09-30T09:24:57.852Z","updated_at":"2021-09-30T09:24:57.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":253,"name":"bioinsilico.org","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1152,"fairsharing_record_id":1900,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:57.881Z","updated_at":"2021-09-30T09:24:57.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":9211,"fairsharing_record_id":1900,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.566Z","updated_at":"2022-04-11T12:07:22.587Z","grant_id":537,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"EUI2009-04018","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9212,"fairsharing_record_id":1900,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.673Z","updated_at":"2022-04-11T12:07:22.689Z","grant_id":914,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"FEDER BIO2011-22568","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9215,"fairsharing_record_id":1900,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.890Z","updated_at":"2022-04-11T12:07:22.906Z","grant_id":50,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"FEDER BIO2008-0205","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1901","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:15:09.118Z","metadata":{"doi":"10.25504/FAIRsharing.q2ntvx","name":"KinMutBase","status":"deprecated","contacts":[{"contact_name":"Jouni Valiaho","contact_email":"Jouni.Valiaho@uta.fi"}],"homepage":"http://structure.bmc.lu.se/idbase/KinMutBase/","identifier":1901,"description":"KinMutBase is a comprehensive database of disease-causing mutations in protein kinase domains. This resources provides plenty of information, namely mutation statistics and display, clickable sequences with mutations and changes to restriction enzyme patterns.","abbreviation":"KinMutBase","data_curation":{"type":"not found"},"year_creation":1998,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource has not been updated since 2015 and, while a flat file is available for download, this record has been deprecated due to lack of activity. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000366","bsg-d000366"],"name":"FAIRsharing record for: KinMutBase","abbreviation":"KinMutBase","url":"https://fairsharing.org/10.25504/FAIRsharing.q2ntvx","doi":"10.25504/FAIRsharing.q2ntvx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KinMutBase is a comprehensive database of disease-causing mutations in protein kinase domains. This resources provides plenty of information, namely mutation statistics and display, clickable sequences with mutations and changes to restriction enzyme patterns.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12647}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Protein structure","Mutation","Genetic polymorphism","Enzyme","Disease","Protein","Amino acid sequence","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":166,"pubmed_id":15832311,"title":"KinMutBase: a registry of disease-causing mutations in protein kinase domains.","year":2005,"url":"http://doi.org/10.1002/humu.20166","authors":"Ortutay C,Valiaho J,Stenberg K,Vihinen M","journal":"Hum Mutat","doi":"10.1002/humu.20166","created_at":"2021-09-30T08:22:38.263Z","updated_at":"2021-09-30T08:22:38.263Z"},{"id":218,"pubmed_id":10592276,"title":"KinMutBase, a database of human disease-causing protein kinase mutations.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.369","authors":"Stenberg KA,Riikonen PT,Vihinen M","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.369","created_at":"2021-09-30T08:22:43.637Z","updated_at":"2021-09-30T11:28:44.033Z"}],"licence_links":[],"grants":[{"id":1155,"fairsharing_record_id":1901,"organisation_id":17,"relation":"funds","created_at":"2021-09-30T09:24:57.981Z","updated_at":"2021-09-30T09:24:57.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":17,"name":"Academy of Finland, Helsinki, Finland","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9033,"fairsharing_record_id":1901,"organisation_id":2703,"relation":"maintains","created_at":"2022-03-28T09:34:28.090Z","updated_at":"2022-03-28T09:34:28.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":2703,"name":"Tampere University, Finland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1902","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:14.535Z","metadata":{"doi":"10.25504/FAIRsharing.wyz5he","name":"Conformation Angles Database","status":"deprecated","contacts":[{"contact_name":"K Sekar","contact_email":"sekar@physics.iisc.ernet.in"}],"homepage":"http://cluster.physics.iisc.ernet.in/cadb/","citations":[],"identifier":1902,"description":"Conformation Angles DataBase [ CADB-3.0 ] is a comprehensive, authoritative and timely knowledge base developed to facilitate retrieval of information related to the conformational angles (main-chain and side-chain) of the amino acid residues present in the non-redundant (both 25% and 90%) data set.","abbreviation":"CADB","data_curation":{"type":"none"},"year_creation":2002,"data_versioning":"not found","deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000367","bsg-d000367"],"name":"FAIRsharing record for: Conformation Angles Database","abbreviation":"CADB","url":"https://fairsharing.org/10.25504/FAIRsharing.wyz5he","doi":"10.25504/FAIRsharing.wyz5he","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Conformation Angles DataBase [ CADB-3.0 ] is a comprehensive, authoritative and timely knowledge base developed to facilitate retrieval of information related to the conformational angles (main-chain and side-chain) of the amino acid residues present in the non-redundant (both 25% and 90%) data set.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":401,"pubmed_id":12520049,"title":"CADB: Conformation Angles DataBase of proteins.","year":2003,"url":"http://doi.org/10.1093/nar/gkg084","authors":"Sheik SS., Ananthalakshmi P., Bhargavi GR., Sekar K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg084","created_at":"2021-09-30T08:23:03.592Z","updated_at":"2021-09-30T08:23:03.592Z"},{"id":1423,"pubmed_id":15858276,"title":"CADB-2.0: Conformation Angles Database.","year":2005,"url":"http://doi.org/10.1107/S0907444905005871","authors":"Samaya Mohan K,Sheik SS,Ramesh J,Balamurugan B,Jeyasimhan M,Mayilarasi C,Sekar K","journal":"Acta Crystallogr D Biol Crystallogr","doi":"10.1107/S0907444905005871","created_at":"2021-09-30T08:24:59.067Z","updated_at":"2021-09-30T08:24:59.067Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":394,"relation":"undefined"}],"grants":[{"id":1157,"fairsharing_record_id":1902,"organisation_id":1333,"relation":"maintains","created_at":"2021-09-30T09:24:58.044Z","updated_at":"2021-09-30T09:24:58.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":1333,"name":"Indian Institute of Science, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1903","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:13.441Z","metadata":{"doi":"10.25504/FAIRsharing.1nwy41","name":"Transmembrane Helices in Genome Sequences","status":"deprecated","contacts":[{"contact_name":"Professor K Sekar","contact_email":"sekar@physics.iisc.ernet.in"}],"homepage":"http://pranag.physics.iisc.ernet.in/thgs/","identifier":1903,"description":"A web based database of Transmembrane Helices in Genome Sequences.","abbreviation":"THGS","data_curation":{"type":"not found"},"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000368","bsg-d000368"],"name":"FAIRsharing record for: Transmembrane Helices in Genome Sequences","abbreviation":"THGS","url":"https://fairsharing.org/10.25504/FAIRsharing.1nwy41","doi":"10.25504/FAIRsharing.1nwy41","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A web based database of Transmembrane Helices in Genome Sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":1430,"pubmed_id":14681375,"title":"THGS: a web-based database of Transmembrane Helices in Genome Sequences.","year":2003,"url":"http://doi.org/10.1093/nar/gkh130","authors":"Fernando SA,Selvarani P,Das S,Kumar ChK,Mondal S,Ramakumar S,Sekar K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh130","created_at":"2021-09-30T08:24:59.917Z","updated_at":"2021-09-30T11:29:08.334Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":395,"relation":"undefined"}],"grants":[{"id":1158,"fairsharing_record_id":1903,"organisation_id":1333,"relation":"maintains","created_at":"2021-09-30T09:24:58.083Z","updated_at":"2021-09-30T09:24:58.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":1333,"name":"Indian Institute of Science, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1891","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:12.862Z","metadata":{"doi":"10.25504/FAIRsharing.cwx04e","name":"SABIO-RK Biochemical Reaction Kinetics Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"sabiork@h-its.org"}],"homepage":"http://sabiork.h-its.org/","citations":[],"identifier":1891,"description":"SABIO-RK is a database for biochemical reactions, their kinetic equations with their parameters, and the experimental conditions under which these parameters were measured.","abbreviation":"SABIO-RK","data_curation":{"url":"http://sabiork.h-its.org/layouts/content/about.gsp","type":"manual"},"support_links":[{"url":"http://sabiork.h-its.org/contactFormSabio","name":"Contact Form","type":"Contact form"},{"url":"http://sabiork.h-its.org/layouts/content/documentation.gsp","name":"Help Pages","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011052","name":"re3data:r3d100011052","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002122","name":"SciCrunch:RRID:SCR_002122","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://sabiork.h-its.org/layouts/content/documentation.gsp","type":"open","notes":"account required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000356","bsg-d000356"],"name":"FAIRsharing record for: SABIO-RK Biochemical Reaction Kinetics Database","abbreviation":"SABIO-RK","url":"https://fairsharing.org/10.25504/FAIRsharing.cwx04e","doi":"10.25504/FAIRsharing.cwx04e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SABIO-RK is a database for biochemical reactions, their kinetic equations with their parameters, and the experimental conditions under which these parameters were measured.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11772}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biochemistry","Life Science"],"domains":["Reaction data","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":384,"pubmed_id":22102587,"title":"SABIO-RK--database for biochemical reaction kinetics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1046","authors":"Wittig U., Kania R., Golebiewski M., Rey M., Shi L., Jong L., Algaa E., Weidemann A., Sauer-Danzwith H., Mir S., Krebs O., Bittkowski M., Wetsch E., Rojas I., Müller W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1046","created_at":"2021-09-30T08:23:01.591Z","updated_at":"2021-09-30T08:23:01.591Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":363,"relation":"applies_to_content"},{"licence_name":"Sabio-RK Non-Commercial Purpose License","licence_id":722,"licence_url":"http://sabiork.h-its.org/layouts/content/termscondition.gsp","link_id":379,"relation":"applies_to_content"}],"grants":[{"id":1108,"fairsharing_record_id":1891,"organisation_id":992,"relation":"maintains","created_at":"2021-09-30T09:24:56.526Z","updated_at":"2021-09-30T09:24:56.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":992,"name":"FAIRDOM","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1110,"fairsharing_record_id":1891,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:24:56.609Z","updated_at":"2021-09-30T09:24:56.609Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1107,"fairsharing_record_id":1891,"organisation_id":1231,"relation":"maintains","created_at":"2021-09-30T09:24:56.489Z","updated_at":"2021-09-30T09:24:56.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":1231,"name":"Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1109,"fairsharing_record_id":1891,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:56.568Z","updated_at":"2021-09-30T09:24:56.568Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1111,"fairsharing_record_id":1891,"organisation_id":1641,"relation":"funds","created_at":"2021-09-30T09:24:56.647Z","updated_at":"2021-09-30T09:24:56.647Z","grant_id":null,"is_lead":false,"saved_state":{"id":1641,"name":"Klaus Tschira Foundation, Heidelberg, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9356,"fairsharing_record_id":1891,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.747Z","updated_at":"2022-04-11T12:07:32.747Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZnM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8159ba57c6c2396faafc24f4178e8fa705934c86/sa.png?disposition=inline","exhaustive_licences":false}},{"id":"1893","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:14.552Z","metadata":{"doi":"10.25504/FAIRsharing.91yrz6","name":"Extracellular Matrix Interaction Database","status":"ready","contacts":[{"contact_name":"Sylvie Ricard-Blum","contact_email":"sylvie.ricard-blum@univ-lyon1.fr"}],"homepage":"http://matrixdb.univ-lyon1.fr","citations":[{"doi":"10.1093/nar/gky1035","pubmed_id":30371822,"publication_id":1662}],"identifier":1893,"description":"MatrixDB stores experimental data established by full-length proteins, matricryptins, glycosaminoglycans, lipids and cations. MatrixDB reports interactions with individual polypeptide chains or with multimers (e.g. collagens, laminins, thrombospondins) when appropriate. Multimers are treated as permanent complexes, referencing EBI identifiers when possible. Human interactions were inferred from non-human homologous interactions when available.","abbreviation":"MatrixDB","data_curation":{"url":"http://www.ebi.ac.uk/Tools/webservices/psicquic/view/help.xhtml;jsessionid=14DEC322F11677E267213783BC2A23D1","type":"automated"},"support_links":[{"url":"http://matrixdb.univ-lyon1.fr/data/Tutorial_MatrixDB_v3.pdf","name":"Tutorial","type":"Help documentation"},{"url":"https://www.youtube.com/watch?list=PLw61Ua8TujDRLFSZMZChqmqX7yFBYLaz0\u0026v=BCHp12lefK4","name":"Help Video","type":"Video"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010672","name":"re3data:r3d100010672","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001727","name":"SciCrunch:RRID:SCR_001727","portal":"SciCrunch"}],"data_access_condition":{"url":"http://matrixdb.univ-lyon1.fr/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/submission/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000358","bsg-d000358"],"name":"FAIRsharing record for: Extracellular Matrix Interaction Database","abbreviation":"MatrixDB","url":"https://fairsharing.org/10.25504/FAIRsharing.91yrz6","doi":"10.25504/FAIRsharing.91yrz6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MatrixDB stores experimental data established by full-length proteins, matricryptins, glycosaminoglycans, lipids and cations. MatrixDB reports interactions with individual polypeptide chains or with multimers (e.g. collagens, laminins, thrombospondins) when appropriate. Multimers are treated as permanent complexes, referencing EBI identifiers when possible. Human interactions were inferred from non-human homologous interactions when available.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11213}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Protein interaction","Carbohydrate","Lipid","Molecular interaction","Small molecule","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Extracellular matrix proteins"],"countries":["France"],"publications":[{"id":385,"pubmed_id":19147664,"title":"MatrixDB, a database focused on extracellular protein-protein and protein-carbohydrate interactions.","year":2009,"url":"http://doi.org/10.1093/bioinformatics/btp025","authors":"Chautard E., Ballut L., Thierry-Mieg N., Ricard-Blum S.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btp025","created_at":"2021-09-30T08:23:01.750Z","updated_at":"2021-09-30T08:23:01.750Z"},{"id":1267,"pubmed_id":25378329,"title":"MatrixDB, the extracellular matrix interaction database: updated content, a new navigator and expanded functionalities.","year":2014,"url":"http://doi.org/10.1093/nar/gku1091","authors":"Launay G,Salza R,Multedo D,Thierry-Mieg N,Ricard-Blum S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1091","created_at":"2021-09-30T08:24:41.381Z","updated_at":"2021-09-30T11:29:04.635Z"},{"id":1661,"pubmed_id":20852260,"title":"MatrixDB, the extracellular matrix interaction database.","year":2010,"url":"http://doi.org/10.1093/nar/gkq830","authors":"Chautard E,Fatoux-Ardore M,Ballut L,Thierry-Mieg N,Ricard-Blum S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq830","created_at":"2021-09-30T08:25:26.059Z","updated_at":"2021-09-30T11:29:18.111Z"},{"id":1662,"pubmed_id":30371822,"title":"MatrixDB: integration of new data with a focus on glycosaminoglycan interactions.","year":2018,"url":"http://doi.org/10.1093/nar/gky1035","authors":"Clerc O,Deniaud M,Vallet SD,Naba A,Rivet A,Perez S,Thierry-Mieg N,Ricard-Blum S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1035","created_at":"2021-09-30T08:25:26.158Z","updated_at":"2021-09-30T11:29:18.211Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2374,"relation":"undefined"}],"grants":[{"id":1118,"fairsharing_record_id":1893,"organisation_id":1368,"relation":"maintains","created_at":"2021-09-30T09:24:56.836Z","updated_at":"2021-09-30T09:24:56.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":1368,"name":"Institut de Chimie et Biochimie Moleculaires et Supramoleculaires (ICBMS), Lyon, France","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1120,"fairsharing_record_id":1893,"organisation_id":1026,"relation":"funds","created_at":"2021-09-30T09:24:56.886Z","updated_at":"2021-09-30T09:29:43.071Z","grant_id":373,"is_lead":false,"saved_state":{"id":1026,"name":"Fondation pour la Recherche Medicale","grant":"DBI20141231336","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1119,"fairsharing_record_id":1893,"organisation_id":1441,"relation":"funds","created_at":"2021-09-30T09:24:56.862Z","updated_at":"2021-09-30T09:24:56.862Z","grant_id":null,"is_lead":false,"saved_state":{"id":1441,"name":"Institut Francais de Bioinformatique (IFB, French Institute of Bioinformatics), France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1887","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:24.791Z","metadata":{"doi":"10.25504/FAIRsharing.y1zyaq","name":"Small Molecule Pathway Database","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca"}],"homepage":"http://www.smpdb.ca/","identifier":1887,"description":"The Small Molecule Pathway Database (SMPDB) contains small molecule pathways found in humans, which are presented visually. All SMPDB pathways include information on the relevant organs, subcellular compartments, protein cofactors, protein locations, metabolite locations, chemical structures and protein quaternary structures. Accompanying data includes detailed descriptions and references, providing an overview of the pathway, condition or processes depicted in each diagram.","abbreviation":"SMPDB","data_curation":{"type":"none"},"support_links":[{"url":"http://feedback.wishartlab.com/?site=small%20molecule%20pathway%20database","type":"Contact form"},{"url":"http://smpdb.ca/legend","type":"Help documentation"},{"url":"https://twitter.com/WishartLab","name":"@WishartLab","type":"Twitter"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://smpdb.ca/search/sequence","name":"Blast"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012753","name":"re3data:r3d100012753","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004844","name":"SciCrunch:RRID:SCR_004844","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000352","bsg-d000352"],"name":"FAIRsharing record for: Small Molecule Pathway Database","abbreviation":"SMPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.y1zyaq","doi":"10.25504/FAIRsharing.y1zyaq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Small Molecule Pathway Database (SMPDB) contains small molecule pathways found in humans, which are presented visually. All SMPDB pathways include information on the relevant organs, subcellular compartments, protein cofactors, protein locations, metabolite locations, chemical structures and protein quaternary structures. Accompanying data includes detailed descriptions and references, providing an overview of the pathway, condition or processes depicted in each diagram.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11771},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12644}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Protein structure","Chemical structure","Chemical entity","Metabolite","Small molecule","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":374,"pubmed_id":19948758,"title":"SMPDB: The Small Molecule Pathway Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1002","authors":"Frolkis A., Knox C., Lim E., Jewison T., Law V., Hau DD., Liu P., Gautam B., Ly S., Guo AC., Xia J., Liang Y., Shrivastava S., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"doi:10.1093/nar/gkp1002","created_at":"2021-09-30T08:23:00.202Z","updated_at":"2021-09-30T08:23:00.202Z"},{"id":2208,"pubmed_id":24203708,"title":"SMPDB 2.0: big improvements to the Small Molecule Pathway Database.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1067","authors":"Jewison T,Su Y,Disfany FM,Liang Y,Knox C,Maciejewski A,Poelzer J,Huynh J,Zhou Y,Arndt D,Djoumbou Y,Liu Y,Deng L,Guo AC,Han B,Pon A,Wilson M,Rafatnia S,Liu P,Wishart DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1067","created_at":"2021-09-30T08:26:28.854Z","updated_at":"2021-09-30T11:29:30.986Z"}],"licence_links":[],"grants":[{"id":1096,"fairsharing_record_id":1887,"organisation_id":1107,"relation":"maintains","created_at":"2021-09-30T09:24:56.096Z","updated_at":"2021-09-30T09:24:56.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":1107,"name":"Genome Alberta, Alberta, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1095,"fairsharing_record_id":1887,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:24:56.064Z","updated_at":"2021-09-30T09:24:56.064Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1888","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:44:19.053Z","metadata":{"doi":"10.25504/FAIRsharing.k5k0yh","name":"GlycomeDB","status":"deprecated","contacts":[{"contact_name":"René Ranzinger","contact_email":"rene.ranzinger@glycome-db.org"}],"homepage":"http://www.glycome-db.org/showMenu.action?major=database","identifier":1888,"description":"GlycomeDB is the result of a systematic data integration effort, and provides an overview of all carbohydrate structures available in public databases, as well as cross-links.","abbreviation":"GlycomeDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.glycome-db.org/Contact.action","type":"Contact form"},{"url":"http://www.glycome-db.org/help/GlycomeDBManual.pdf","type":"Help documentation"},{"url":"http://www.glycome-db.org/showMenu.action?major=documentation","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://www.glycome-db.org/showMenu.action?major=database","name":"search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011527","name":"re3data:r3d100011527","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005717","name":"SciCrunch:RRID:SCR_005717","portal":"SciCrunch"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and the data has been incorporated into GlyTouCan","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000353","bsg-d000353"],"name":"FAIRsharing record for: GlycomeDB","abbreviation":"GlycomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.k5k0yh","doi":"10.25504/FAIRsharing.k5k0yh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycomeDB is the result of a systematic data integration effort, and provides an overview of all carbohydrate structures available in public databases, as well as cross-links.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Carbohydrate","Molecular entity","Small molecule","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":380,"pubmed_id":19759275,"title":"Glycome-DB.org: a portal for querying across the digital world of carbohydrate sequences.","year":2009,"url":"http://doi.org/10.1093/glycob/cwp137","authors":"Ranzinger R., Frank M., von der Lieth CW., Herget S.,","journal":"Glycobiology","doi":"10.1093/glycob/cwp137","created_at":"2021-09-30T08:23:01.207Z","updated_at":"2021-09-30T08:23:01.207Z"},{"id":1067,"pubmed_id":21045056,"title":"GlycomeDB--a unified database for carbohydrate structures.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1014","authors":"Ranzinger R,Herget S,von der Lieth CW,Frank M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1014","created_at":"2021-09-30T08:24:18.172Z","updated_at":"2021-09-30T11:28:57.792Z"},{"id":1607,"pubmed_id":18803830,"title":"GlycomeDB - integration of open-access carbohydrate structure databases.","year":2008,"url":"http://doi.org/10.1186/1471-2105-9-384","authors":"Ranzinger R,Herget S,Wetter T,von der Lieth CW","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-9-384","created_at":"2021-09-30T08:25:20.154Z","updated_at":"2021-09-30T08:25:20.154Z"}],"licence_links":[],"grants":[{"id":1099,"fairsharing_record_id":1888,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:24:56.214Z","updated_at":"2021-09-30T09:24:56.214Z","grant_id":null,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1097,"fairsharing_record_id":1888,"organisation_id":756,"relation":"maintains","created_at":"2021-09-30T09:24:56.133Z","updated_at":"2021-09-30T09:24:56.133Z","grant_id":null,"is_lead":false,"saved_state":{"id":756,"name":"Deutsches Krebsforschungszentrum","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1098,"fairsharing_record_id":1888,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:24:56.176Z","updated_at":"2021-09-30T09:24:56.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1889","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:57:10.404Z","metadata":{"doi":"10.25504/FAIRsharing.aftff2","name":"The Gene Index Project","status":"deprecated","contacts":[{"contact_name":"John Quackenbush","contact_email":"johnq@jimmy.harvard.edu","contact_orcid":"0000-0002-2702-5879"}],"homepage":"http://compbio.dfci.harvard.edu/tgi/","identifier":1889,"description":"The goal of The Gene Index Project is to use the available EST and gene sequences, along with the reference genomes wherever available, to provide an inventory of likely genes and their variants and to annotate these with information regarding the functional roles played by these genes and their products.","abbreviation":"TIGR_TGI","data_curation":{"type":"not found"},"support_links":[{"url":"http://compbio.dfci.harvard.edu/cgi-bin/tgi/contact_us_zn.pl?refer_text=DFCI%20-%20Gene%20Indices%20-%20EGO","type":"Contact form"},{"url":"http://compbio.dfci.harvard.edu/tgi/gifaq.html","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","associated_tools":[{"url":"http://compbio.dfci.harvard.edu/tgi/ncbi/blast/blast.html","name":"BLAST"}],"deprecation_date":"2016-12-23","deprecation_reason":"As of July 2014 the resource is no longer being maintained as funding ended in 2010.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000354","bsg-d000354"],"name":"FAIRsharing record for: The Gene Index Project","abbreviation":"TIGR_TGI","url":"https://fairsharing.org/10.25504/FAIRsharing.aftff2","doi":"10.25504/FAIRsharing.aftff2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of The Gene Index Project is to use the available EST and gene sequences, along with the reference genomes wherever available, to provide an inventory of likely genes and their variants and to annotate these with information regarding the functional roles played by these genes and their products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1533,"pubmed_id":15608288,"title":"The TIGR Gene Indices: clustering and assembling EST and known genes and integration with eukaryotic genomes.","year":2004,"url":"http://doi.org/10.1093/nar/gki064","authors":"Lee Y,Tsai J,Sunkara S,Karamycheva S,Pertea G,Sultana R,Antonescu V,Chan A,Cheung F,Quackenbush J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki064","created_at":"2021-09-30T08:25:11.650Z","updated_at":"2021-09-30T11:29:12.918Z"},{"id":1540,"pubmed_id":10592205,"title":"The TIGR gene indices: reconstruction and representation of expressed gene sequences.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.141","authors":"Quackenbush J,Liang F,Holt I,Pertea G,Upton J","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.141","created_at":"2021-09-30T08:25:12.491Z","updated_at":"2021-09-30T11:29:13.010Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1181,"relation":"undefined"}],"grants":[{"id":1102,"fairsharing_record_id":1889,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:24:56.314Z","updated_at":"2021-09-30T09:24:56.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1100,"fairsharing_record_id":1889,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:24:56.246Z","updated_at":"2021-09-30T09:24:56.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1101,"fairsharing_record_id":1889,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:56.283Z","updated_at":"2021-09-30T09:24:56.283Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1103,"fairsharing_record_id":1889,"organisation_id":1216,"relation":"maintains","created_at":"2021-09-30T09:24:56.350Z","updated_at":"2021-09-30T09:24:56.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1104,"fairsharing_record_id":1889,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:56.390Z","updated_at":"2021-09-30T09:24:56.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1890","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:46.306Z","metadata":{"doi":"10.25504/FAIRsharing.tyyn81","name":"Health Canada Drug Product Database","status":"ready","contacts":[{"contact_email":"Info@hc-sc.gc.ca"}],"homepage":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/drug-product-database.html","citations":[],"identifier":1890,"description":"The Health Canada Drug Product Database contains product specific information on drugs approved for use in Canada. The database is managed by Health Canada and includes human pharmaceutical and biological drugs, veterinary drugs and disinfectant products. It contains approximately 15,000 products which companies have notified Health Canada as being marketed.","abbreviation":"HC DPD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/applications-submissions/guidance-documents/product-monograph/frequently-asked-questions-product-monographs-posted-health-canada-website.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/drug-product-database/search-tips.html","type":"Help documentation"},{"url":"https://www.canada.ca/en/health-canada/services/drugs-health-products/drug-products/drug-product-database/terminology.html","type":"Help documentation"},{"url":"https://twitter.com/HealthCanada","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012754","name":"re3data:r3d100012754","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000355","bsg-d000355"],"name":"FAIRsharing record for: Health Canada Drug Product Database","abbreviation":"HC DPD","url":"https://fairsharing.org/10.25504/FAIRsharing.tyyn81","doi":"10.25504/FAIRsharing.tyyn81","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Health Canada Drug Product Database contains product specific information on drugs approved for use in Canada. The database is managed by Health Canada and includes human pharmaceutical and biological drugs, veterinary drugs and disinfectant products. It contains approximately 15,000 products which companies have notified Health Canada as being marketed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[],"grants":[{"id":1105,"fairsharing_record_id":1890,"organisation_id":1221,"relation":"maintains","created_at":"2021-09-30T09:24:56.422Z","updated_at":"2021-09-30T09:24:56.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":1221,"name":"Health Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1106,"fairsharing_record_id":1890,"organisation_id":1221,"relation":"funds","created_at":"2021-09-30T09:24:56.454Z","updated_at":"2021-09-30T09:24:56.454Z","grant_id":null,"is_lead":false,"saved_state":{"id":1221,"name":"Health Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1876","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:29.999Z","metadata":{"doi":"10.25504/FAIRsharing.zzaykv","name":"Side Effect Resource","status":"ready","contacts":[{"contact_name":"Peer Bork","contact_email":"bork@embl.de","contact_orcid":"0000-0002-2627-833X"}],"homepage":"http://sideeffects.embl.de","identifier":1876,"description":"SIDER contains information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts. The available information include side effect frequency, drug and side effect classifications as well as links to further information, for example drug_target relations.","abbreviation":"SIDER","data_curation":{"url":"http://sideeffects.embl.de/","type":"manual","notes":"The information is extracted from public documents and package inserts."},"year_creation":2010,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012791","name":"re3data:r3d100012791","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004321","name":"SciCrunch:RRID:SCR_004321","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000341","bsg-d000341"],"name":"FAIRsharing record for: Side Effect Resource","abbreviation":"SIDER","url":"https://fairsharing.org/10.25504/FAIRsharing.zzaykv","doi":"10.25504/FAIRsharing.zzaykv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SIDER contains information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts. The available information include side effect frequency, drug and side effect classifications as well as links to further information, for example drug_target relations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Health Science","Biomedical Science"],"domains":["Drug","Adverse Reaction","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug Target"],"countries":["Germany"],"publications":[{"id":1448,"pubmed_id":20087340,"title":"A side effect resource to capture phenotypic effects of drugs.","year":2010,"url":"http://doi.org/10.1038/msb.2009.98","authors":"Kuhn M., Campillos M., Letunic I., Jensen LJ., Bork P.,","journal":"Mol. Syst. Biol.","doi":"10.1093/nar/gkv1075","created_at":"2021-09-30T08:25:01.860Z","updated_at":"2021-09-30T08:25:01.860Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1570,"relation":"undefined"}],"grants":[{"id":1066,"fairsharing_record_id":1876,"organisation_id":2197,"relation":"funds","created_at":"2021-09-30T09:24:55.218Z","updated_at":"2021-09-30T09:29:54.464Z","grant_id":462,"is_lead":false,"saved_state":{"id":2197,"name":"Novo Nordisk Foundation, Denmark","grant":"NNF14CC0001","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":1067,"fairsharing_record_id":1876,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:55.254Z","updated_at":"2021-09-30T09:24:55.254Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1877","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:12.282Z","metadata":{"doi":"10.25504/FAIRsharing.q7bkqr","name":"STING","status":"deprecated","contacts":[{"contact_name":"Goran Neshich","contact_email":"neshich@cnptia.embrapa.br"}],"homepage":"http://sms.cbi.cnptia.embrapa.br/SMS/index_s.html","citations":[],"identifier":1877,"description":"The Blue Star STING database stores information on the interactions between proteins and other bio macromolecules. Structure descriptors used in the analysis of these interactions are stored in STING DB to aid research primarily into the problems challenging Brazilian agriculture, livestock and medicine.","abbreviation":"STING","data_curation":{"type":"not found"},"support_links":[{"url":"http://sms.cbi.cnptia.embrapa.br/SMS/STINGm/help/quick_modules.html#report","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource has not been updated recently and a valid contact cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000342","bsg-d000342"],"name":"FAIRsharing record for: STING","abbreviation":"STING","url":"https://fairsharing.org/10.25504/FAIRsharing.q7bkqr","doi":"10.25504/FAIRsharing.q7bkqr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Blue Star STING database stores information on the interactions between proteins and other bio macromolecules. Structure descriptors used in the analysis of these interactions are stored in STING DB to aid research primarily into the problems challenging Brazilian agriculture, livestock and medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Brazil"],"publications":[{"id":1616,"pubmed_id":15608194,"title":"STING Report: convenient web-based application for graphic and tabular presentations of protein sequence, structure and function descriptors from the STING database.","year":2004,"url":"http://doi.org/10.1093/nar/gki111","authors":"Neshich G., Mancini AL., Yamagishi ME., Kuser PR., Fileto R., Pinto IP., Palandrani JF., Krauchenco JN., Baudet C., Montagner AJ., Higa RH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki111","created_at":"2021-09-30T08:25:21.086Z","updated_at":"2021-09-30T08:25:21.086Z"}],"licence_links":[],"grants":[{"id":1068,"fairsharing_record_id":1877,"organisation_id":582,"relation":"maintains","created_at":"2021-09-30T09:24:55.287Z","updated_at":"2021-09-30T09:24:55.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":582,"name":"Computational Biology Research Group , Embrapa/Informatica Agropecuaria, Sao Paulo, Brazil","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1878","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:17.732Z","metadata":{"doi":"10.25504/FAIRsharing.t3nprm","name":"CryptoDB","status":"ready","contacts":[{"contact_name":"Jessica Kissinger","contact_email":"jkissing@uga.edu","contact_orcid":"0000-0003-4446-6200"}],"homepage":"https://cryptodb.org/cryptodb/app","citations":[],"identifier":1878,"description":"CryptoDB serves as the functional genomics database for Cryptosporidium and related species. CryptoDB is a free, online resource for accessing and exploring genome sequence and annotation, functional genomics data, isolate sequences, and orthology profiles across organisms. It also includes supplemental bioinformatics analyses and a web interface for data-mining.","abbreviation":"CryptoDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://cryptodb.org/cryptodb/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://cryptodb.org/cryptodb/app/search/organism/GenomeDataTypes/result","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012265","name":"re3data:r3d100012265","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013455","name":"SciCrunch:RRID:SCR_013455","portal":"SciCrunch"}],"data_access_condition":{"url":"https://cryptodb.org/cryptodb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://cryptodb.org/cryptodb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://cryptodb.org/cryptodb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000343","bsg-d000343"],"name":"FAIRsharing record for: CryptoDB","abbreviation":"CryptoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.t3nprm","doi":"10.25504/FAIRsharing.t3nprm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CryptoDB serves as the functional genomics database for Cryptosporidium and related species. CryptoDB is a free, online resource for accessing and exploring genome sequence and annotation, functional genomics data, isolate sequences, and orthology profiles across organisms. It also includes supplemental bioinformatics analyses and a web interface for data-mining.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genomics","Parasitology"],"domains":["Genome annotation","Gene functional annotation","Parasite","Genome"],"taxonomies":["Cryptosporidium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":379,"pubmed_id":16381902,"title":"CryptoDB: a Cryptosporidium bioinformatics resource update.","year":2005,"url":"http://doi.org/10.1093/nar/gkj078","authors":"Heiges M., Wang H., Robinson E., Aurrecoechea C., Gao X., Kaluskar N., Rhodes P., Wang S., He CZ., Su Y., Miller J., Kraemer E., Kissinger JC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj078","created_at":"2021-09-30T08:23:00.710Z","updated_at":"2021-09-30T08:23:00.710Z"},{"id":1268,"pubmed_id":31452162,"title":"Accessing Cryptosporidium Omic and Isolate Data via CryptoDB.org.","year":2019,"url":"http://doi.org/10.1007/978-1-4939-9748-0_10","authors":"Warrenfeltz S,Kissinger JC","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-9748-0_10","created_at":"2021-09-30T08:24:41.542Z","updated_at":"2021-09-30T08:24:41.542Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2386,"relation":"undefined"}],"grants":[{"id":1071,"fairsharing_record_id":1878,"organisation_id":439,"relation":"maintains","created_at":"2021-09-30T09:24:55.375Z","updated_at":"2021-09-30T09:24:55.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":439,"name":"Center for Tropical \u0026 Emerging Global Diseases, University of Georgia, Athens, GA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8356,"fairsharing_record_id":1878,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.693Z","updated_at":"2021-09-30T09:32:14.936Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1072,"fairsharing_record_id":1878,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.413Z","updated_at":"2021-09-30T09:29:56.395Z","grant_id":478,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN75N93019C00077","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1069,"fairsharing_record_id":1878,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.310Z","updated_at":"2021-09-30T09:31:27.989Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9982,"fairsharing_record_id":1878,"organisation_id":3549,"relation":"maintains","created_at":"2022-10-07T16:09:08.548Z","updated_at":"2022-10-07T16:09:08.548Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdEVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e5062bc73a21ec49ec674e77bef1146b4e4a5614/cryptoDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1882","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:22.346Z","metadata":{"doi":"10.25504/FAIRsharing.g4n8sw","name":"PlasmoDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"https://plasmodb.org","citations":[{"doi":"10.1093/nar/gkn814","pubmed_id":18957442,"publication_id":378}],"identifier":1882,"description":"PlasmoDB is a genome database for the genus Plasmodium, a set of single-celled eukaryotic pathogens that cause human and animal diseases, including malaria.","abbreviation":"PlasmoDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://plasmodb.org/plasmo/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://plasmodb.org/plasmo/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://plasmodb.org/plasmo/app/search/organism/GenomeDataTypes/result","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011569","name":"re3data:r3d100011569","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013331","name":"SciCrunch:RRID:SCR_013331","portal":"SciCrunch"}],"data_access_condition":{"url":"https://plasmodb.org/plasmo/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://plasmodb.org/plasmo/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://plasmodb.org/plasmo/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000347","bsg-d000347"],"name":"FAIRsharing record for: PlasmoDB","abbreviation":"PlasmoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.g4n8sw","doi":"10.25504/FAIRsharing.g4n8sw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PlasmoDB is a genome database for the genus Plasmodium, a set of single-celled eukaryotic pathogens that cause human and animal diseases, including malaria.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Infectious Disease Medicine"],"domains":["Malaria","Pathogen","Genome","Infectious disease"],"taxonomies":["Plasmodium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":378,"pubmed_id":18957442,"title":"PlasmoDB: a functional genomic database for malaria parasites.","year":2008,"url":"http://doi.org/10.1093/nar/gkn814","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn814","created_at":"2021-09-30T08:23:00.608Z","updated_at":"2021-09-30T08:23:00.608Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2382,"relation":"undefined"}],"grants":[{"id":1079,"fairsharing_record_id":1882,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.641Z","updated_at":"2021-09-30T09:31:28.014Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8358,"fairsharing_record_id":1882,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.780Z","updated_at":"2021-09-30T09:32:14.966Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9580,"fairsharing_record_id":1882,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:43.280Z","updated_at":"2022-06-08T09:24:43.280Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1081,"fairsharing_record_id":1882,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.694Z","updated_at":"2021-09-30T09:31:16.718Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdFVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6a21bcec4fd1d1c6bdde88ac7f21e0385a1141d7/plasmoDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1883","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:18.457Z","metadata":{"doi":"10.25504/FAIRsharing.a08mtc","name":"ToxoDB","status":"ready","contacts":[{"contact_name":"Michael Gottlieb","contact_email":"mgottlieb@fnih.org"}],"homepage":"https://toxodb.org","citations":[],"identifier":1883,"description":"ToxoDB is a free online resource that provides access to genomic and functional genomic data for Toxoplasma and related organisms. The resource contains over 30 fully sequenced and annotated genomes, with genomic sequence from multiple strains available for variant detection and copy number variation analysis. In addition to genomic sequence data, ToxoDB contains functional genomic datasets including microarray, RNAseq, proteomics, ChIP-seq, and phenotypic data. In addition, results from a number of whole-genome analyses are incorporated, including mapping to orthology clusters, which allows users to leverage phylogenetic relationships in their analyses.","abbreviation":"ToxoDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://toxodb.org/toxo/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://toxodb.org/toxo/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012266","name":"re3data:r3d100012266","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013453","name":"SciCrunch:RRID:SCR_013453","portal":"SciCrunch"}],"data_access_condition":{"url":"https://toxodb.org/toxo/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://toxodb.org/toxo/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://toxodb.org/toxo/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000348","bsg-d000348"],"name":"FAIRsharing record for: ToxoDB","abbreviation":"ToxoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.a08mtc","doi":"10.25504/FAIRsharing.a08mtc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ToxoDB is a free online resource that provides access to genomic and functional genomic data for Toxoplasma and related organisms. The resource contains over 30 fully sequenced and annotated genomes, with genomic sequence from multiple strains available for variant detection and copy number variation analysis. In addition to genomic sequence data, ToxoDB contains functional genomic datasets including microarray, RNAseq, proteomics, ChIP-seq, and phenotypic data. In addition, results from a number of whole-genome analyses are incorporated, including mapping to orthology clusters, which allows users to leverage phylogenetic relationships in their analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Proteomics","Phylogenetics","Comparative Genomics"],"domains":["Expression data","Proteome","Pathogen","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","DNA microarray","Phenotype","Disease","Genome"],"taxonomies":["Toxoplasma"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":383,"pubmed_id":18003657,"title":"ToxoDB: an integrated Toxoplasma gondii database resource.","year":2007,"url":"http://doi.org/10.1093/nar/gkm981","authors":"Gajria B., Bahl A., Brestelli J., Dommer J., Fischer S., Gao X., Heiges M., Iodice J., Kissinger JC., Mackey AJ., Pinney DF., Roos DS., Stoeckert CJ., Wang H., Brunk BP.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm981","created_at":"2021-09-30T08:23:01.499Z","updated_at":"2021-09-30T08:23:01.499Z"},{"id":1314,"pubmed_id":31758445,"title":"ToxoDB: Functional Genomics Resource for Toxoplasma and Related Organisms.","year":2019,"url":"http://doi.org/10.1007/978-1-4939-9857-9_2","authors":"Harb OS,Roos DS","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-9857-9_2","created_at":"2021-09-30T08:24:46.733Z","updated_at":"2021-09-30T08:24:46.733Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2383,"relation":"undefined"}],"grants":[{"id":1082,"fairsharing_record_id":1883,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.719Z","updated_at":"2021-09-30T09:31:28.027Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1084,"fairsharing_record_id":1883,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.778Z","updated_at":"2021-09-30T09:31:16.731Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9579,"fairsharing_record_id":1883,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:22.538Z","updated_at":"2022-06-08T09:24:22.538Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8359,"fairsharing_record_id":1883,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.818Z","updated_at":"2021-09-30T09:32:14.979Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e722d88723f0b94891ed8ea310b0270f24294ee8/toxoDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1884","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:22.975Z","metadata":{"doi":"10.25504/FAIRsharing.pv0ezt","name":"TrichDB","status":"ready","contacts":[{"contact_name":"Omar Harb","contact_email":"oharb@pcbi.upenn.edu","contact_orcid":"0000-0003-4446-6200"}],"homepage":"http://trichdb.org/trichdb/","citations":[],"identifier":1884,"description":"TrichDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"TrichDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://trichdb.org/trichdb/contact.do","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://twitter.com/eupathdb","type":"Twitter"}],"data_versioning":"no","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012461","name":"re3data:r3d100012461","portal":"re3data"}],"data_access_condition":{"url":"https://trichdb.org/trichdb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://trichdb.org/trichdb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://trichdb.org/trichdb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000349","bsg-d000349"],"name":"FAIRsharing record for: TrichDB","abbreviation":"TrichDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pv0ezt","doi":"10.25504/FAIRsharing.pv0ezt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TrichDB is one of the databases that can be accessed through the EuPathDB (http://EuPathDB.org; formerly ApiDB) portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Eukaryota","Trichomonas"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1523,"pubmed_id":18824479,"title":"GiardiaDB and TrichDB: integrated genomic resources for the eukaryotic protist pathogens Giardia lamblia and Trichomonas vaginalis.","year":2008,"url":"http://doi.org/10.1093/nar/gkn631","authors":"Aurrecoechea C et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn631","created_at":"2021-09-30T08:25:10.519Z","updated_at":"2021-09-30T08:25:10.519Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2360,"relation":"undefined"}],"grants":[{"id":1086,"fairsharing_record_id":1884,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.828Z","updated_at":"2021-09-30T09:24:55.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1085,"fairsharing_record_id":1884,"organisation_id":576,"relation":"maintains","created_at":"2021-09-30T09:24:55.801Z","updated_at":"2021-09-30T09:24:55.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":576,"name":"Computational Biology and Informatics Laboratory (CBIL), University of Pennsylvania, Philadelphia, PA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1087,"fairsharing_record_id":1884,"organisation_id":439,"relation":"maintains","created_at":"2021-09-30T09:24:55.852Z","updated_at":"2021-09-30T09:24:55.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":439,"name":"Center for Tropical \u0026 Emerging Global Diseases, University of Georgia, Athens, GA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1088,"fairsharing_record_id":1884,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:55.878Z","updated_at":"2021-09-30T09:31:16.743Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9578,"fairsharing_record_id":1884,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:24:04.760Z","updated_at":"2022-06-08T09:24:04.760Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdDBCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a55f8a84668c7738fd664dc14eb2fc782784c88d/trichDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1874","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:31:46.784Z","metadata":{"doi":"10.25504/FAIRsharing.rnx28e","name":"Expression Database in 4D","status":"deprecated","contacts":[{"contact_name":"Yannick Haudry","contact_email":"yannick.haudry@embl.de"}],"homepage":"http://4dx.embl.de/4DXpress","identifier":1874,"description":"This database provides a platform to query and compare gene expression data during the development of the major model animals (zebrafish, drosophila, medaka, mouse). The high resolution expression data was acquired through whole mount in situ hybridsation-, antibody- or transgenic experiments.","abbreviation":"4DXpress","data_curation":{"type":"not found"},"support_links":[{"url":"http://4dx.embl.de/4DXpress/reg/all/faq.do","type":"Frequently Asked Questions (FAQs)"},{"url":"http://4dx.embl.de/4DXpress/reg/all/help.do","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://4dx.embl.de/4DXpress/reg/all/prepareSearch/blast.do","name":"BLAST"}],"deprecation_date":"2015-04-10","deprecation_reason":"This resource is no longer maintained. Please contact us at biosharing-contact-us@lists.sf.net if you have any information relating to the activity of this database.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000337","bsg-d000337"],"name":"FAIRsharing record for: Expression Database in 4D","abbreviation":"4DXpress","url":"https://fairsharing.org/10.25504/FAIRsharing.rnx28e","doi":"10.25504/FAIRsharing.rnx28e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database provides a platform to query and compare gene expression data during the development of the major model animals (zebrafish, drosophila, medaka, mouse). The high resolution expression data was acquired through whole mount in situ hybridsation-, antibody- or transgenic experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","In situ hybridization"],"taxonomies":["Bilateria"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":389,"pubmed_id":17916571,"title":"4DXpress: a database for cross-species expression pattern comparisons.","year":2007,"url":"http://doi.org/10.1093/nar/gkm797","authors":"Haudry Y., Berube H., Letunic I., Weeber PD., Gagneur J., Girardot C., Kapushesky M., Arendt D., Bork P., Brazma A., Furlong EE., Wittbrodt J., Henrich T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm797","created_at":"2021-09-30T08:23:02.183Z","updated_at":"2021-09-30T08:23:02.183Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":352,"relation":"undefined"}],"grants":[{"id":1054,"fairsharing_record_id":1874,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:54.720Z","updated_at":"2021-09-30T09:24:54.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1875","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:37:48.310Z","metadata":{"doi":"10.25504/FAIRsharing.9b7wvk","name":"STRING","status":"ready","contacts":[{"contact_name":"Peer Bork","contact_email":"bork@embl.de","contact_orcid":"0000-0002-2627-833X"}],"homepage":"https://string-db.org/","citations":[{"doi":"10.1093/nar/gku1003","pubmed_id":25352553,"publication_id":2035}],"identifier":1875,"description":"STRING is a database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations.","abbreviation":"STRING","data_curation":{"url":"https://string-db.org/cgi/help","type":"automated","notes":"Some data derived from curated data of various database"},"support_links":[{"url":"https://string-db.org/cgi/support.pl","name":"Contact Support","type":"Contact form"},{"url":"https://string-db.org/cgi/info?footer_active_subpage=faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://string-db.org/cgi/help","name":"STRING Help","type":"Help documentation"},{"url":"https://string-db.org/cgi/info.pl?footer_active_subpage=scores","name":"About Interaction Scores","type":"Help documentation"},{"url":"https://string-db.org/cgi/about?footer_active_subpage=statistics","name":"Statistics","type":"Help documentation"},{"url":"https://string-db.org/cgi/about.pl?footer_active_subpage=content","name":"About STRING","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/cytoscape-stringapp-exercises","name":"Cytoscape stringApp exercises","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/string-exercises","name":"STRING exercises","type":"TeSS links to training materials"}],"year_creation":2000,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010604","name":"re3data:r3d100010604","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005223","name":"SciCrunch:RRID:SCR_005223","portal":"SciCrunch"}],"data_access_condition":{"url":"https://string-db.org/cgi/help","type":"open","notes":"STRING is completely free and avaliable to download for both, our academic and commercial users."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://string-db.org/cgi/help","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000340","bsg-d000340"],"name":"FAIRsharing record for: STRING","abbreviation":"STRING","url":"https://fairsharing.org/10.25504/FAIRsharing.9b7wvk","doi":"10.25504/FAIRsharing.9b7wvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STRING is a database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11345},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11525},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11843},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12245},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16185}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Computational biological predictions","Protein interaction","Functional association","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1413,"pubmed_id":26614125,"title":"SVD-phy: improved prediction of protein functional associations through singular value decomposition of phylogenetic profiles.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv696","authors":"Franceschini A,Lin J,von Mering C,Jensen LJ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv696","created_at":"2021-09-30T08:24:57.935Z","updated_at":"2021-09-30T08:24:57.935Z"},{"id":1415,"pubmed_id":23203871,"title":"STRING v9.1: protein-protein interaction networks, with increased coverage and integration.","year":2012,"url":"http://doi.org/10.1093/nar/gks1094","authors":"Franceschini A,Szklarczyk D,Frankild S,Kuhn M,Simonovic M,Roth A,Lin J,Minguez P,Bork P,von Mering C,Jensen LJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1094","created_at":"2021-09-30T08:24:58.141Z","updated_at":"2021-09-30T11:29:08.151Z"},{"id":2035,"pubmed_id":25352553,"title":"STRING v10: protein-protein interaction networks, integrated over the tree of life.","year":2014,"url":"http://doi.org/10.1093/nar/gku1003","authors":"Szklarczyk D,Franceschini A,Wyder S,Forslund K,Heller D,Huerta-Cepas J,Simonovic M,Roth A,Santos A,Tsafou KP,Kuhn M,Bork P,Jensen LJ,von Mering C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1003","created_at":"2021-09-30T08:26:09.154Z","updated_at":"2021-09-30T11:29:26.803Z"},{"id":2096,"pubmed_id":30476243,"title":"STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.","year":2018,"url":"http://doi.org/10.1093/nar/gky1131","authors":"Szklarczyk D,Gable AL,Lyon D,Junge A,Wyder S,Huerta-Cepas J,Simonovic M,Doncheva NT,Morris JH,Bork P,Jensen LJ,Mering CV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1131","created_at":"2021-09-30T08:26:16.206Z","updated_at":"2021-09-30T11:29:29.036Z"},{"id":2098,"pubmed_id":27924014,"title":"The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.","year":2016,"url":"http://doi.org/10.1093/nar/gkw937","authors":"Szklarczyk D,Morris JH,Cook H,Kuhn M,Wyder S,Simonovic M,Santos A,Doncheva NT,Roth A,Bork P,Jensen LJ,von Mering C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw937","created_at":"2021-09-30T08:26:16.412Z","updated_at":"2021-09-30T11:29:29.221Z"},{"id":2174,"pubmed_id":18940858,"title":"STRING 8--a global view on proteins and their functional interactions in 630 organisms.","year":2008,"url":"http://doi.org/10.1093/nar/gkn760","authors":"Jensen LJ., Kuhn M., Stark M., Chaffron S., Creevey C., Muller J., Doerks T., Julien P., Roth A., Simonovic M., Bork P., von Mering C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn760","created_at":"2021-09-30T08:26:24.966Z","updated_at":"2021-09-30T08:26:24.966Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1388,"relation":"undefined"}],"grants":[{"id":1055,"fairsharing_record_id":1875,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:24:54.809Z","updated_at":"2021-09-30T09:24:54.809Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1062,"fairsharing_record_id":1875,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:24:55.031Z","updated_at":"2021-09-30T09:24:55.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1065,"fairsharing_record_id":1875,"organisation_id":3155,"relation":"funds","created_at":"2021-09-30T09:24:55.129Z","updated_at":"2021-09-30T09:24:55.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":3155,"name":"University of Zurich, Switzerland","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1056,"fairsharing_record_id":1875,"organisation_id":2196,"relation":"funds","created_at":"2021-09-30T09:24:54.844Z","updated_at":"2021-09-30T09:24:54.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1057,"fairsharing_record_id":1875,"organisation_id":943,"relation":"funds","created_at":"2021-09-30T09:24:54.879Z","updated_at":"2021-09-30T09:24:54.879Z","grant_id":null,"is_lead":false,"saved_state":{"id":943,"name":"European Molecular Biology Organization","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1058,"fairsharing_record_id":1875,"organisation_id":1045,"relation":"funds","created_at":"2021-09-30T09:24:54.915Z","updated_at":"2021-09-30T09:24:54.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":1045,"name":"Foundation ProBioC, Heidelberg, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1060,"fairsharing_record_id":1875,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:24:54.968Z","updated_at":"2021-09-30T09:24:54.968Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1061,"fairsharing_record_id":1875,"organisation_id":984,"relation":"funds","created_at":"2021-09-30T09:24:54.999Z","updated_at":"2021-09-30T09:24:54.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":984,"name":"Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1063,"fairsharing_record_id":1875,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:24:55.060Z","updated_at":"2021-09-30T09:24:55.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1064,"fairsharing_record_id":1875,"organisation_id":3155,"relation":"maintains","created_at":"2021-09-30T09:24:55.091Z","updated_at":"2021-09-30T09:24:55.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":3155,"name":"University of Zurich, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9355,"fairsharing_record_id":1875,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.694Z","updated_at":"2022-04-11T12:07:32.694Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1885","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:23.679Z","metadata":{"doi":"10.25504/FAIRsharing.fs1z27","name":"TriTrypDB","status":"ready","contacts":[{"contact_name":"Omar Harb","contact_email":"oharb@pcbi.upenn.edu","contact_orcid":"0000-0003-4446-6200"}],"homepage":"http://tritrypdb.org/tritrypdb/","citations":[{"doi":"10.1093/nar/gkp851","pubmed_id":19843604,"publication_id":377}],"identifier":1885,"description":"TriTrypDB is one of the databases that can be accessed through the VEuPathDB portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the VEuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","abbreviation":"TriTrypDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"https://tritrypdb.org/tritrypdb/app/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://tritrypdb.org/tritrypdb/app/static-content/methods.html","name":"Data Analysis Methods","type":"Help documentation"},{"url":"https://www.youtube.com/user/EuPathDB/playlists","name":"YouTube Channel","type":"Video"},{"url":"https://twitter.com/VEuPathDB","name":"@VEuPathDB","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011479","name":"re3data:r3d100011479","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007043","name":"SciCrunch:RRID:SCR_007043","portal":"SciCrunch"}],"data_access_condition":{"url":"https://tritrypdb.org/tritrypdb/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://tritrypdb.org/tritrypdb/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://tritrypdb.org/tritrypdb/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000350","bsg-d000350"],"name":"FAIRsharing record for: TriTrypDB","abbreviation":"TriTrypDB","url":"https://fairsharing.org/10.25504/FAIRsharing.fs1z27","doi":"10.25504/FAIRsharing.fs1z27","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TriTrypDB is one of the databases that can be accessed through the VEuPathDB portal, covering eukaryotic pathogens of the genera Cryptosporidium, Giardia, Leishmania, Neospora, Plasmodium, Toxoplasma, Trichomonas and Trypanosoma. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the VEuPathDB portal offers an entry point to all these resources, and the opportunity to leverage orthology for searches across genera.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Infectious Disease Medicine","Comparative Genomics"],"domains":["Pathogen","Genome"],"taxonomies":["Eukaryota","Leishmania","Leishmania major","Trypanosoma brucei","Trypanosoma cruzi","Trypanosomatidae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":377,"pubmed_id":19843604,"title":"TriTrypDB: a functional genomic resource for the Trypanosomatidae.","year":2009,"url":"http://doi.org/10.1093/nar/gkp851","authors":"Aslett M., Aurrecoechea C., Berriman M. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp851","created_at":"2021-09-30T08:23:00.509Z","updated_at":"2021-09-30T08:23:00.509Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Access Policy","licence_id":842,"licence_url":"https://tritrypdb.org/tritrypdb/app/static-content/about.html","link_id":2372,"relation":"undefined"},{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2371,"relation":"undefined"}],"grants":[{"id":1092,"fairsharing_record_id":1885,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:24:55.983Z","updated_at":"2021-09-30T09:24:55.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1089,"fairsharing_record_id":1885,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:24:55.902Z","updated_at":"2021-09-30T09:31:28.038Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9577,"fairsharing_record_id":1885,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:23:49.034Z","updated_at":"2022-06-08T09:23:49.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1090,"fairsharing_record_id":1885,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:24:55.928Z","updated_at":"2021-09-30T09:31:16.755Z","grant_id":1098,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN266200400037C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8360,"fairsharing_record_id":1885,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.856Z","updated_at":"2021-09-30T09:32:15.002Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdFlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9cba83c15dede60f028fb1588eb50e5b0629cb3b/tritrypDB.png?disposition=inline","exhaustive_licences":false}},{"id":"1915","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-06T14:46:29.022Z","metadata":{"doi":"10.25504/FAIRsharing.ek15yj","name":"Integrated Tumor Transcriptome Array and Clinical data Analysis database","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"ittaca@curie.fr"}],"homepage":"http://bioinfo.curie.fr/ittaca","identifier":1915,"description":"ITTACA is a database created for Integrated Tumor Transcriptome Array and Clinical data Analysis. ITTACA centralizes public datasets containing both gene expression and clinical data and currently focuses on the types of cancer that are of particular interest to the Institut Curie: breast carcinoma, bladder carcinoma, and uveal melanoma.","abbreviation":"ITTACA","data_curation":{"type":"not found"},"support_links":[{"url":"http://bioinfo-out.curie.fr/ittaca/documentation/documentation.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-06-24","deprecation_reason":"Message on the homepage \"ITTACA website is closed\".","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000380","bsg-d000380"],"name":"FAIRsharing record for: Integrated Tumor Transcriptome Array and Clinical data Analysis database","abbreviation":"ITTACA","url":"https://fairsharing.org/10.25504/FAIRsharing.ek15yj","doi":"10.25504/FAIRsharing.ek15yj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ITTACA is a database created for Integrated Tumor Transcriptome Array and Clinical data Analysis. ITTACA centralizes public datasets containing both gene expression and clinical data and currently focuses on the types of cancer that are of particular interest to the Institut Curie: breast carcinoma, bladder carcinoma, and uveal melanoma.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12651}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Expression data","Cancer","Gene expression","Tumor","Diagnosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1541,"pubmed_id":16381943,"title":"ITTACA: a new database for integrated tumor transcriptome array and clinical data analysis.","year":2005,"url":"http://doi.org/10.1093/nar/gkj022","authors":"Elfilali A,Lair S,Verbeke C,La Rosa P,Radvanyi F,Barillot E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj022","created_at":"2021-09-30T08:25:12.590Z","updated_at":"2021-09-30T11:29:13.103Z"}],"licence_links":[],"grants":[{"id":1187,"fairsharing_record_id":1915,"organisation_id":1363,"relation":"maintains","created_at":"2021-09-30T09:24:59.058Z","updated_at":"2021-09-30T09:24:59.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":1363,"name":"Institut Curie, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1916","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.673Z","metadata":{"doi":"10.25504/FAIRsharing.jrjqc7","name":"Buruli ulcer bacillus Database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/BuruList/","identifier":1916,"description":"A database dedicated to the analysis of the genome of Mycobacterium ulcerans, the Buruli ulcer bacillus. It provides a complete dataset of DNA and protein sequences derived from the epidemic strain Agy99, linked to the relevant annotations and functional assignments.","abbreviation":"BuruList","data_curation":{"type":"not found"},"year_creation":2001,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000381","bsg-d000381"],"name":"FAIRsharing record for: Buruli ulcer bacillus Database","abbreviation":"BuruList","url":"https://fairsharing.org/10.25504/FAIRsharing.jrjqc7","doi":"10.25504/FAIRsharing.jrjqc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database dedicated to the analysis of the genome of Mycobacterium ulcerans, the Buruli ulcer bacillus. It provides a complete dataset of DNA and protein sequences derived from the epidemic strain Agy99, linked to the relevant annotations and functional assignments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Protein","Genome"],"taxonomies":["Mycobacterium ulcerans"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1189,"fairsharing_record_id":1916,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.114Z","updated_at":"2021-09-30T09:24:59.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1188,"fairsharing_record_id":1916,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.086Z","updated_at":"2021-09-30T09:24:59.086Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1190,"fairsharing_record_id":1916,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.141Z","updated_at":"2021-09-30T09:24:59.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1191,"fairsharing_record_id":1916,"organisation_id":1060,"relation":"funds","created_at":"2021-09-30T09:24:59.230Z","updated_at":"2021-09-30T09:24:59.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":1060,"name":"French Ministry of Education, Research and Technology, France","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1917","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:14.458Z","metadata":{"doi":"10.25504/FAIRsharing.hbbtbj","name":"Colibri","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/Colibri/","identifier":1917,"description":"Its purpose is to collate and integrate various aspects of the genomic information from E. coli, the paradigm of Gram-negative bacteria. Colibri provides a complete dataset of DNA and protein sequences derived from the paradigm strain E. coli K-12, linked to the relevant annotations and functional assignments. It allows one to easily browse through these data and retrieve information, using various criteria (gene names, location, keywords, etc.).","abbreviation":"Colibri","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/Colibri/help/general.html","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000382","bsg-d000382"],"name":"FAIRsharing record for: Colibri","abbreviation":"Colibri","url":"https://fairsharing.org/10.25504/FAIRsharing.hbbtbj","doi":"10.25504/FAIRsharing.hbbtbj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Its purpose is to collate and integrate various aspects of the genomic information from E. coli, the paradigm of Gram-negative bacteria. Colibri provides a complete dataset of DNA and protein sequences derived from the paradigm strain E. coli K-12, linked to the relevant annotations and functional assignments. It allows one to easily browse through these data and retrieve information, using various criteria (gene names, location, keywords, etc.).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1192,"fairsharing_record_id":1917,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.267Z","updated_at":"2021-09-30T09:24:59.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1193,"fairsharing_record_id":1917,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.299Z","updated_at":"2021-09-30T09:24:59.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1194,"fairsharing_record_id":1917,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.322Z","updated_at":"2021-09-30T09:24:59.322Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1906","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:54.144Z","metadata":{"doi":"10.25504/FAIRsharing.7fc5y6","name":"Eukaryotic Genes","status":"ready","contacts":[{"contact_name":"Don Gilbert","contact_email":"eugenes@iubio.bio.indiana.edu","contact_orcid":"0000-0002-6646-7274"}],"homepage":"http://eugenes.org/","identifier":1906,"description":"euGenes provides a common summary of gene and genomic information from eukaryotic organism databases including gene symbol and full name, chromosome, genetic and molecular map information, Gene Ontology (Function/Location/Process) and gene homology, product information.","abbreviation":"euGenes","data_curation":{"type":"none"},"support_links":[{"url":"http://eugenes.org/docs/","type":"Help documentation"}],"year_creation":1999,"data_versioning":"no","associated_tools":[{"url":"http://eugenes.org/tools/","name":"euGenes Tools"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000371","bsg-d000371"],"name":"FAIRsharing record for: Eukaryotic Genes","abbreviation":"euGenes","url":"https://fairsharing.org/10.25504/FAIRsharing.7fc5y6","doi":"10.25504/FAIRsharing.7fc5y6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: euGenes provides a common summary of gene and genomic information from eukaryotic organism databases including gene symbol and full name, chromosome, genetic and molecular map information, Gene Ontology (Function/Location/Process) and gene homology, product information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene name","Gene Ontology enrichment","Gene","Genome"],"taxonomies":["Anopheles gambiae","Arabidopsis thaliana","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":777,"pubmed_id":11752277,"title":"euGenes: a eukaryote genome information system.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.145","authors":"Gilbert, D.G.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.145","created_at":"2021-09-30T08:23:45.619Z","updated_at":"2021-09-30T08:23:45.619Z"}],"licence_links":[],"grants":[{"id":8440,"fairsharing_record_id":1906,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:39.401Z","updated_at":"2021-09-30T09:32:39.455Z","grant_id":1720,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-9982851","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1164,"fairsharing_record_id":1906,"organisation_id":224,"relation":"maintains","created_at":"2021-09-30T09:24:58.273Z","updated_at":"2021-09-30T09:24:58.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":224,"name":"BioComputing laboratory, University of Padua, Italy","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1165,"fairsharing_record_id":1906,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:58.306Z","updated_at":"2021-09-30T09:32:07.207Z","grant_id":1477,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0090782","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1907","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:27.101Z","metadata":{"doi":"10.25504/FAIRsharing.h5epxm","name":"Daphnia Water Flea Genome Database","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"daphnia@iubio.bio.indiana.edu"}],"homepage":"http://wfleabase.org/","identifier":1907,"description":"wFleaBase includes data from all species of the genus, yet the primary species are Daphnia pulex and Daphnia magna, because of the broad set of genomic tools that have already been developed for these animals.","abbreviation":"wFleaBase","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://wfleabase.org/docs/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://wfleabase.org/blast/","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000372","bsg-d000372"],"name":"FAIRsharing record for: Daphnia Water Flea Genome Database","abbreviation":"wFleaBase","url":"https://fairsharing.org/10.25504/FAIRsharing.h5epxm","doi":"10.25504/FAIRsharing.h5epxm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: wFleaBase includes data from all species of the genus, yet the primary species are Daphnia pulex and Daphnia magna, because of the broad set of genomic tools that have already been developed for these animals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Ecology","Computational Biology","Life Science"],"domains":["Genome visualization","Genome"],"taxonomies":["Daphnia","Daphnia magna","Daphnia pulex"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":412,"pubmed_id":15752432,"title":"wFleaBase: the Daphnia genome database.","year":2005,"url":"http://doi.org/10.1186/1471-2105-6-45","authors":"Colbourne JK., Singan VR., Gilbert DG.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-6-45","created_at":"2021-09-30T08:23:04.766Z","updated_at":"2021-09-30T08:23:04.766Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":516,"relation":"undefined"},{"licence_name":"wFleaBase Academic use","licence_id":859,"licence_url":"http://wfleabase.org/docs/wfleabase-copyright.html","link_id":517,"relation":"undefined"}],"grants":[{"id":1166,"fairsharing_record_id":1907,"organisation_id":224,"relation":"maintains","created_at":"2021-09-30T09:24:58.340Z","updated_at":"2021-09-30T09:24:58.340Z","grant_id":null,"is_lead":false,"saved_state":{"id":224,"name":"BioComputing laboratory, University of Padua, Italy","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1169,"fairsharing_record_id":1907,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:58.412Z","updated_at":"2021-09-30T09:30:26.265Z","grant_id":710,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01HG002733-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1167,"fairsharing_record_id":1907,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:24:58.363Z","updated_at":"2021-09-30T09:30:33.973Z","grant_id":767,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0090782","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9394,"fairsharing_record_id":1907,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.461Z","updated_at":"2022-04-11T12:07:35.461Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1908","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:13.800Z","metadata":{"doi":"10.25504/FAIRsharing.mx41z8","name":"FusionDB","status":"deprecated","contacts":[{"contact_name":"Karsten Suhre","contact_email":"karsten.suhre@igs.cnrs-mrs.fr"}],"homepage":"http://igs-server.cnrs-mrs.fr/FusionDB/","identifier":1908,"description":"FusionDB is a database of bacterial and archaeal gene fusion events - also known as Rosetta stones","abbreviation":"FusionDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.igs.cnrs-mrs.fr/FusionDB/help.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2015-07-28","deprecation_reason":"This resource is no longer active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000373","bsg-d000373"],"name":"FAIRsharing record for: FusionDB","abbreviation":"FusionDB","url":"https://fairsharing.org/10.25504/FAIRsharing.mx41z8","doi":"10.25504/FAIRsharing.mx41z8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FusionDB is a database of bacterial and archaeal gene fusion events - also known as Rosetta stones","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":410,"pubmed_id":14681411,"title":"FusionDB: a database for in-depth analysis of prokaryotic gene fusion events.","year":2003,"url":"http://doi.org/10.1093/nar/gkh053","authors":"Suhre K., Claverie JM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh053","created_at":"2021-09-30T08:23:04.567Z","updated_at":"2021-09-30T08:23:04.567Z"}],"licence_links":[],"grants":[{"id":1170,"fairsharing_record_id":1908,"organisation_id":1664,"relation":"maintains","created_at":"2021-09-30T09:24:58.440Z","updated_at":"2021-09-30T09:24:58.440Z","grant_id":null,"is_lead":false,"saved_state":{"id":1664,"name":"Laboratoire de Microbiologie et Genetique Moleculaires (LMGM), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1909","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-04T08:35:52.330Z","metadata":{"doi":"10.25504/FAIRsharing.cb05hf","name":"Aphid Genomics Database","status":"ready","contacts":[{"contact_name":"Fabrice Legeai","contact_email":"fabrice.legeai@rennes.inra.fr"}],"homepage":"http://www.aphidbase.com/","identifier":1909,"description":"The Aphid Genome Database's aim is to improve the current pea aphid genome assembly and annotation, and to provide new aphid genome sequences as well as tools for analysis of these genomes.","abbreviation":"AphidBase","data_curation":{"type":"not found"},"support_links":[{"url":"aphidgenomics@listes.inra.fr","type":"Mailing list"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"http://tools.genouest.org/tools/genouestsf/aphidblast.php/en/","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://bipaa.genouest.org/is/aphidbase/iagc/","type":"open","notes":"User should become a resource member"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000374","bsg-d000374"],"name":"FAIRsharing record for: Aphid Genomics Database","abbreviation":"AphidBase","url":"https://fairsharing.org/10.25504/FAIRsharing.cb05hf","doi":"10.25504/FAIRsharing.cb05hf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Aphid Genome Database's aim is to improve the current pea aphid genome assembly and annotation, and to provide new aphid genome sequences as well as tools for analysis of these genomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome annotation","Genomic assembly","Genome"],"taxonomies":["Aphididae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":406,"pubmed_id":20482635,"title":"AphidBase: a centralized bioinformatic resource for annotation of the pea aphid genome.","year":2010,"url":"http://doi.org/10.1111/j.1365-2583.2009.00930.x","authors":"Legeai F., Shigenobu S., Gauthier JP., Colbourne J., Rispe C., Collin O., Richards S., Wilson AC., Murphy T., Tagu D.,","journal":"Insect Mol. Biol.","doi":"10.1111/j.1365-2583.2009.00930.x","created_at":"2021-09-30T08:23:04.108Z","updated_at":"2021-09-30T08:23:04.108Z"},{"id":1496,"pubmed_id":17237053,"title":"AphidBase: a database for aphid genomic resources.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btl682","authors":"Gauthier JP,Legeai F,Zasadzinski A,Rispe C,Tagu D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btl682","created_at":"2021-09-30T08:25:07.577Z","updated_at":"2021-09-30T08:25:07.577Z"}],"licence_links":[],"grants":[{"id":1172,"fairsharing_record_id":1909,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:24:58.529Z","updated_at":"2021-09-30T09:29:44.902Z","grant_id":384,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service","grant":"2007-04628","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12021,"fairsharing_record_id":1909,"organisation_id":2066,"relation":"maintains","created_at":"2024-07-04T08:31:28.242Z","updated_at":"2024-07-04T08:31:28.242Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1910","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-24T14:44:02.656Z","metadata":{"doi":"10.25504/FAIRsharing.a8z6gz","name":"ProDom","status":"deprecated","contacts":[{"contact_name":"General Help","contact_email":"prohelp@prabi.fr"}],"homepage":"http://prodom.prabi.fr/","citations":[{"doi":"10.1093/bib/3.3.246","pubmed_id":12230033,"publication_id":1594}],"identifier":1910,"description":"ProDom is a comprehensive set of protein domain families automatically generated from the UniProt Knowledge Database.","abbreviation":"ProDom","data_curation":{"type":"not found"},"support_links":[{"url":"http://prodom.prabi.fr/prodom/current/documentation/help.php","type":"Help documentation"},{"url":"http://prodom.prabi.fr/prodom/current/html/webservices.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://avatar.se/molscript/","name":"MolScript"},{"url":"http://prodomweb.univ-lyon1.fr/prodom/xdom/","name":"mkdom/Xdom"},{"url":"http://espript.ibcp.fr/ESPript/cgi-bin/ESPript.cgi","name":"ESPript"}],"deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000375","bsg-d000375"],"name":"FAIRsharing record for: ProDom","abbreviation":"ProDom","url":"https://fairsharing.org/10.25504/FAIRsharing.a8z6gz","doi":"10.25504/FAIRsharing.a8z6gz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProDom is a comprehensive set of protein domain families automatically generated from the UniProt Knowledge Database.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11348},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12166},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12649}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":420,"pubmed_id":15608179,"title":"The ProDom database of protein domain families: more emphasis on 3D","year":2004,"url":"http://doi.org/10.1093/nar/gki034","authors":"Bru C., Courcelle E., Carrère S., Beausse Y., Dalmar S., Kahn D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki034","created_at":"2021-09-30T08:23:05.658Z","updated_at":"2021-09-30T08:23:05.658Z"},{"id":1594,"pubmed_id":12230033,"title":"ProDom: automated clustering of homologous domains.","year":2002,"url":"http://doi.org/10.1093/bib/3.3.246","authors":"Servant F,Bru C,Carrere S,Courcelle E,Gouzy J,Peyruc D,Kahn D","journal":"Brief Bioinform","doi":"10.1093/bib/3.3.246","created_at":"2021-09-30T08:25:18.695Z","updated_at":"2021-09-30T08:25:18.695Z"}],"licence_links":[{"licence_name":"Prodom Database License","licence_id":681,"licence_url":"http://prodom.prabi.fr/prodom/current/html/downcom.php","link_id":551,"relation":"undefined"}],"grants":[{"id":1176,"fairsharing_record_id":1910,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:58.649Z","updated_at":"2021-09-30T09:24:58.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1173,"fairsharing_record_id":1910,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:24:58.567Z","updated_at":"2021-09-30T09:24:58.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1175,"fairsharing_record_id":1910,"organisation_id":2439,"relation":"funds","created_at":"2021-09-30T09:24:58.623Z","updated_at":"2021-09-30T09:24:58.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1918","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:28:56.452Z","metadata":{"doi":"10.25504/FAIRsharing.amxd1s","name":"GenoList Genome Browser","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/","citations":[],"identifier":1918,"description":"GenoList is an integrated environment for comparative exploration of microbial genomes. The current release integrates genome data for over 700 species (Genome Reviews). The query and navigation user interface includes specialized tools for subtractive genome analysis and dynamic synteny visualization.","abbreviation":"GenoList","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"While this resource had incorporated a number of deprecated databases, GenoList is now itself deprecated, as it is no longer available at the stated homepage, and the organisation has stated that the resource has been discontinued. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000383","bsg-d000383"],"name":"FAIRsharing record for: GenoList Genome Browser","abbreviation":"GenoList","url":"https://fairsharing.org/10.25504/FAIRsharing.amxd1s","doi":"10.25504/FAIRsharing.amxd1s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenoList is an integrated environment for comparative exploration of microbial genomes. The current release integrates genome data for over 700 species (Genome Reviews). The query and navigation user interface includes specialized tools for subtractive genome analysis and dynamic synteny visualization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2297,"pubmed_id":18032431,"title":"GenoList: an integrated environment for comparative analysis of microbial genomes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm1042","authors":"Lechat P,Hummel L,Rousseau S,Moszer I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm1042","created_at":"2021-09-30T08:26:40.690Z","updated_at":"2021-09-30T11:29:32.753Z"}],"licence_links":[],"grants":[{"id":1195,"fairsharing_record_id":1918,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.348Z","updated_at":"2021-09-30T09:24:59.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1196,"fairsharing_record_id":1918,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.372Z","updated_at":"2021-09-30T09:24:59.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1919","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.771Z","metadata":{"doi":"10.25504/FAIRsharing.dntrmf","name":"Legionella pneumophila genome database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"cbuch@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/LegioList/","identifier":1919,"description":"LegioList is a database dedicated to the analysis of the genomes of Legionella pneumophila strain Paris (endemic in France), strain Lens (epidemic isolate), strain Phildelphia 1, and strain Corby. It also includes the genome of Legionella longbeachae strain NSW150.","abbreviation":"LegioList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/LegioList/help/general.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000384","bsg-d000384"],"name":"FAIRsharing record for: Legionella pneumophila genome database","abbreviation":"LegioList","url":"https://fairsharing.org/10.25504/FAIRsharing.dntrmf","doi":"10.25504/FAIRsharing.dntrmf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LegioList is a database dedicated to the analysis of the genomes of Legionella pneumophila strain Paris (endemic in France), strain Lens (epidemic isolate), strain Phildelphia 1, and strain Corby. It also includes the genome of Legionella longbeachae strain NSW150.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Genome"],"taxonomies":["Legionella pneumophila"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1198,"fairsharing_record_id":1919,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.422Z","updated_at":"2021-09-30T09:24:59.422Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1197,"fairsharing_record_id":1919,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.398Z","updated_at":"2021-09-30T09:24:59.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1920","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:14.729Z","metadata":{"doi":"10.25504/FAIRsharing.93gy4v","name":"Listeria innocua and Listeria monocytogenes genomes database","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/ListiList/","identifier":1920,"description":"ListiList is a database dedicated to the analysis of the genomes of the food-borne pathogen, Listeria monocytogenes, and its non-pathogenic relative, Listeria innocua. Its purpose is to collate and integrate various aspects of the genomic information from L. monocytogenes, a paradigm for bacterial-host interactions.","abbreviation":"ListiList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/ListiList/help/general.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000385","bsg-d000385"],"name":"FAIRsharing record for: Listeria innocua and Listeria monocytogenes genomes database","abbreviation":"ListiList","url":"https://fairsharing.org/10.25504/FAIRsharing.93gy4v","doi":"10.25504/FAIRsharing.93gy4v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ListiList is a database dedicated to the analysis of the genomes of the food-borne pathogen, Listeria monocytogenes, and its non-pathogenic relative, Listeria innocua. Its purpose is to collate and integrate various aspects of the genomic information from L. monocytogenes, a paradigm for bacterial-host interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Listeria monocytogenes"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1199,"fairsharing_record_id":1920,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:59.448Z","updated_at":"2021-09-30T09:24:59.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1200,"fairsharing_record_id":1920,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.475Z","updated_at":"2021-09-30T09:24:59.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1921","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:14.822Z","metadata":{"doi":"10.25504/FAIRsharing.pmz447","name":"Mycoplasma pulmonis genome database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"moszer@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/MypuList/","identifier":1921,"description":"Its purpose is to collate and integrate various aspects of the genomic information from M. pulmonis, a mollicute causal agent of murine respiratory mycoplasmosis. MypuList provides a complete dataset of DNA and protein sequences derived from the strain M. pulmonis UAB CTIP, linked to the relevant annotations and functional assignments.","abbreviation":"MypuList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/MypuList/help/general.html","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","associated_tools":[{"url":"http://genolist.pasteur.fr/MypuList/help/blast-search.html","name":"BLAST"}],"deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000386","bsg-d000386"],"name":"FAIRsharing record for: Mycoplasma pulmonis genome database","abbreviation":"MypuList","url":"https://fairsharing.org/10.25504/FAIRsharing.pmz447","doi":"10.25504/FAIRsharing.pmz447","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Its purpose is to collate and integrate various aspects of the genomic information from M. pulmonis, a mollicute causal agent of murine respiratory mycoplasmosis. MypuList provides a complete dataset of DNA and protein sequences derived from the strain M. pulmonis UAB CTIP, linked to the relevant annotations and functional assignments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Structure","Protein","Genome"],"taxonomies":["Mycoplasma pulmonis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1201,"fairsharing_record_id":1921,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.498Z","updated_at":"2021-09-30T09:24:59.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1922","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.849Z","metadata":{"doi":"10.25504/FAIRsharing.9ppftz","name":"Photorhabdus luminescens genome database","status":"deprecated","contacts":[{"contact_email":"genolist@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/PhotoList/","identifier":1922,"description":"PhotoList, contains a database dedicated to the analysis of the genome of Photorhabdus luminescens. This analysis has been described in: \"The genome sequence of the entomopathogenic bacterium Photorhabdus luminescens\"","abbreviation":"PhotoList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/PhotoList/help/general.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://genolist.pasteur.fr/PhotoList/help/blast-search.html","name":"BLAST"}],"deprecation_date":"2018-04-10","deprecation_reason":"Deprecated by Allyson Lister. Deprecation confirmed via resource homepage, which asks users to use GenoList instead.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000387","bsg-d000387"],"name":"FAIRsharing record for: Photorhabdus luminescens genome database","abbreviation":"PhotoList","url":"https://fairsharing.org/10.25504/FAIRsharing.9ppftz","doi":"10.25504/FAIRsharing.9ppftz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhotoList, contains a database dedicated to the analysis of the genome of Photorhabdus luminescens. This analysis has been described in: \"The genome sequence of the entomopathogenic bacterium Photorhabdus luminescens\"","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Photorhabdus luminescens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1203,"fairsharing_record_id":1922,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.549Z","updated_at":"2021-09-30T09:24:59.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1202,"fairsharing_record_id":1922,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.524Z","updated_at":"2021-09-30T09:24:59.524Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1923","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:17:49.930Z","metadata":{"doi":"10.25504/FAIRsharing.x54ymh","name":"Streptococcus agalactiae NEM316 / Serotype III genome database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"pglaser@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/SagaList/","identifier":1923,"description":"SagaList contains a database dedicated to the analysis of the genomes of the food-borne pathogen, Streptococcus agalactiae.","abbreviation":"SagaList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/SagaList/help/general.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000388","bsg-d000388"],"name":"FAIRsharing record for: Streptococcus agalactiae NEM316 / Serotype III genome database","abbreviation":"SagaList","url":"https://fairsharing.org/10.25504/FAIRsharing.x54ymh","doi":"10.25504/FAIRsharing.x54ymh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SagaList contains a database dedicated to the analysis of the genomes of the food-borne pathogen, Streptococcus agalactiae.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Streptococcus agalactiae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1206,"fairsharing_record_id":1923,"organisation_id":1454,"relation":"funds","created_at":"2021-09-30T09:24:59.648Z","updated_at":"2021-09-30T09:24:59.648Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1204,"fairsharing_record_id":1923,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:24:59.580Z","updated_at":"2021-09-30T09:24:59.580Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1205,"fairsharing_record_id":1923,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.619Z","updated_at":"2021-09-30T09:24:59.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1928","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:11.899Z","metadata":{"doi":"10.25504/FAIRsharing.5f5mfm","name":"Bactibase: database dedicated to bacteriocins","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"admin@pfba-lab-tun.org"}],"homepage":"http://bactibase.hammamilab.org/main.php","citations":[],"identifier":1928,"description":"BACTIBASE contains calculated or predicted physicochemical properties of bacteriocins produced by both Gram-positive and Gram-negative bacteria. The information in this database is very easy to extract and allows rapid prediction of relationships structure/function and target organisms of these peptides and therefore better exploitation of their biological activity in both the medical and food sectors.","abbreviation":"BACTIBASE","data_curation":{"type":"not found"},"support_links":[{"url":"http://bactibase.pfba-lab-tun.org/contacts.php","type":"Contact form"},{"url":"http://bactibase.pfba-lab-tun.org/faq.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"no","associated_tools":[{"url":"http://bactibase.pfba-lab-tun.org/blast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012755","name":"re3data:r3d100012755","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006694","name":"SciCrunch:RRID:SCR_006694","portal":"SciCrunch"}],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000393","bsg-d000393"],"name":"FAIRsharing record for: Bactibase: database dedicated to bacteriocins","abbreviation":"BACTIBASE","url":"https://fairsharing.org/10.25504/FAIRsharing.5f5mfm","doi":"10.25504/FAIRsharing.5f5mfm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BACTIBASE contains calculated or predicted physicochemical properties of bacteriocins produced by both Gram-positive and Gram-negative bacteria. The information in this database is very easy to extract and allows rapid prediction of relationships structure/function and target organisms of these peptides and therefore better exploitation of their biological activity in both the medical and food sectors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":425,"pubmed_id":20105292,"title":"BACTIBASE second release: a database and tool platform for bacteriocin characterization.","year":2010,"url":"http://doi.org/10.1186/1471-2180-10-22","authors":"Hammami R., Zouhir A., Le Lay C., Ben Hamida J., Fliss I.,","journal":"BMC Microbiol.","doi":"10.1186/1471-2180-10-22","created_at":"2021-09-30T08:23:06.183Z","updated_at":"2021-09-30T08:23:06.183Z"},{"id":1612,"pubmed_id":17941971,"title":"BACTIBASE: a new web-accessible database for bacteriocin characterization.","year":2007,"url":"http://doi.org/10.1186/1471-2180-7-89","authors":"Hammami R,Zouhir A,Ben Hamida J,Fliss I","journal":"BMC Microbiol","doi":"10.1186/1471-2180-7-89","created_at":"2021-09-30T08:25:20.677Z","updated_at":"2021-09-30T08:25:20.677Z"}],"licence_links":[{"licence_name":"BACTIBASE Terms of Use","licence_id":54,"licence_url":"http://bactibase.pfba-lab-tun.org/terms.php","link_id":1064,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1069,"relation":"undefined"}],"grants":[{"id":1216,"fairsharing_record_id":1928,"organisation_id":1690,"relation":"maintains","created_at":"2021-09-30T09:24:59.917Z","updated_at":"2021-09-30T09:24:59.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":1690,"name":"Laval University, Quebec, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1217,"fairsharing_record_id":1928,"organisation_id":1247,"relation":"maintains","created_at":"2021-09-30T09:24:59.940Z","updated_at":"2021-09-30T09:24:59.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1247,"name":"Higher Institute of Applied Biological Sciences of Tunis (ISSBAT), Tunis, Tunisia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1929","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-16T15:44:16.984Z","metadata":{"doi":"10.25504/FAIRsharing.xxdxtv","name":"Human Proteinpedia","status":"deprecated","contacts":[{"contact_name":"Pandey Akhilesh","contact_email":"pandey.akhilesh@mayo.edu","contact_orcid":null}],"homepage":"http://www.humanproteinpedia.org/","citations":[],"identifier":1929,"description":"Human Proteinpedia is a community portal for sharing and integration of human protein data. It allows research laboratories to contribute and maintain protein annotations. ","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://pdas.hprd.org/help","type":"Contact form"},{"url":"http://www.humanproteinpedia.org/FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010985","name":"re3data:r3d100010985","portal":"re3data"}],"deprecation_date":"2022-12-02","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000394","bsg-d000394"],"name":"FAIRsharing record for: Human Proteinpedia","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.xxdxtv","doi":"10.25504/FAIRsharing.xxdxtv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Human Proteinpedia is a community portal for sharing and integration of human protein data. It allows research laboratories to contribute and maintain protein annotations. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":418,"pubmed_id":18948298,"title":"Human Proteinpedia: a unified discovery resource for proteomics research.","year":2008,"url":"http://doi.org/10.1093/nar/gkn701","authors":"Kandasamy K., Keerthikumar S., Goel R., Mathivanan S., Patankar N., Shafreen B., Renuse S., Pawar H., Ramachandra YL., Acharya PK., Ranganathan P., Chaerkady R., Keshava Prasad TS., Pandey A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn701","created_at":"2021-09-30T08:23:05.452Z","updated_at":"2021-09-30T08:23:05.452Z"}],"licence_links":[],"grants":[{"id":1219,"fairsharing_record_id":1929,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:24:59.991Z","updated_at":"2021-09-30T09:31:58.535Z","grant_id":1412,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54 RR020839","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9337,"fairsharing_record_id":1929,"organisation_id":1402,"relation":"maintains","created_at":"2022-04-11T12:07:31.358Z","updated_at":"2022-04-11T12:07:31.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":1402,"name":"Institute of Bioinformatics, Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1930","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-13T11:02:08.642Z","metadata":{"doi":"10.25504/FAIRsharing.y2qws7","name":"Human Protein Reference Database","status":"deprecated","contacts":[{"contact_name":"Akhilesh Pandey","contact_email":"pandey.akhilesh@mayo.edu","contact_orcid":"0000-0001-9943-6127"}],"homepage":"http://www.hprd.org/","citations":[],"identifier":1930,"description":"The Human Protein Reference Database represents a centralized platform to visually depict and integrate information pertaining to domain architecture, post-translational modifications, interaction networks and disease association for each protein in the human proteome.","abbreviation":"HPRD","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hprd.org/help","type":"Contact form"},{"url":"http://www.hprd.org/FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://en.wikipedia.org/wiki/Human_Protein_Reference_Database","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://www.hprd.org/blast_page","name":"BLAST"},{"url":"http://www.hprd.org/query","name":"search"},{"url":"http://www.hprd.org/blast_page","name":"BLAST"},{"url":"http://www.hprd.org/query","name":"search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010978","name":"re3data:r3d100010978","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007027","name":"SciCrunch:RRID:SCR_007027","portal":"SciCrunch"}],"deprecation_date":"2024-06-13","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000395","bsg-d000395"],"name":"FAIRsharing record for: Human Protein Reference Database","abbreviation":"HPRD","url":"https://fairsharing.org/10.25504/FAIRsharing.y2qws7","doi":"10.25504/FAIRsharing.y2qws7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Protein Reference Database represents a centralized platform to visually depict and integrate information pertaining to domain architecture, post-translational modifications, interaction networks and disease association for each protein in the human proteome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Structure","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India","United States"],"publications":[{"id":1347,"pubmed_id":18988627,"title":"Human Protein Reference Database--2009 update.","year":2008,"url":"http://doi.org/10.1093/nar/gkn892","authors":"Keshava Prasad TS., Goel R., Kandasamy K., Keerthikumar S., Kumar S., Mathivanan S., Telikicherla D., Raju R., Shafreen B., Venugopal A., Balakrishnan L., Marimuthu A., Banerjee S., Somanathan DS., Sebastian A., Rani S., Ray S., Harrys Kishore CJ., Kanth S., Ahmed M., Kashyap MK., Mohmood R., Ramachandra YL., Krishna V., Rahiman BA., Mohan S., Ranganathan P., Ramabadran S., Chaerkady R., Pandey A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn892","created_at":"2021-09-30T08:24:50.752Z","updated_at":"2021-09-30T08:24:50.752Z"}],"licence_links":[],"grants":[{"id":9336,"fairsharing_record_id":1930,"organisation_id":1402,"relation":"maintains","created_at":"2022-04-11T12:07:31.287Z","updated_at":"2022-04-11T12:07:31.287Z","grant_id":null,"is_lead":false,"saved_state":{"id":1402,"name":"Institute of Bioinformatics, Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1931","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-07T10:08:25.771Z","metadata":{"doi":"10.25504/FAIRsharing.g6kz6h","name":"Infevers","status":"ready","contacts":[{"contact_name":"Project Manager","contact_email":"florian.milhavet@inserm.fr","contact_orcid":null}],"homepage":"https://infevers.umai-montpellier.fr/web/","citations":[],"identifier":1931,"description":"A registry of Hereditary Auto-inflammatory Disorder Mutations.","abbreviation":"Infevers","data_curation":{"url":"https://infevers.umai-montpellier.fr/web/instructions_for_use.php","type":"manual","notes":"data depositors instructions"},"support_links":[{"url":"https://infevers.umai-montpellier.fr/web/contact.php?n=56","type":"Contact form"},{"url":"https://infevers.umai-montpellier.fr/web/instructions_for_use.php","type":"Help documentation"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010548","name":"re3data:r3d100010548","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007738","name":"SciCrunch:RRID:SCR_007738","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkg031","type":"open","notes":"See Data Processes and Conditions"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000396","bsg-d000396"],"name":"FAIRsharing record for: Infevers","abbreviation":"Infevers","url":"https://fairsharing.org/10.25504/FAIRsharing.g6kz6h","doi":"10.25504/FAIRsharing.g6kz6h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A registry of Hereditary Auto-inflammatory Disorder Mutations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Inflammatory response","Mutation analysis","Mutation","Genetic polymorphism","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":251,"pubmed_id":12520003,"title":"INFEVERS: the Registry for FMF and hereditary inflammatory disorders mutations.","year":2003,"url":"http://doi.org/10.1093/nar/gkg031","authors":"Sarrauste de Menthière C., Terrière S., Pugnère D., Ruiz M., Demaille J., Touitou I.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg031","created_at":"2021-09-30T08:22:47.098Z","updated_at":"2021-09-30T08:22:47.098Z"},{"id":408,"pubmed_id":18409191,"title":"The infevers autoinflammatory mutation online registry: update with new genes and functions.","year":2008,"url":"http://doi.org/10.1002/humu.20720","authors":"Milhavet F., Cuisset L., Hoffman HM., Slim R., El-Shanti H., Aksentijevich I., Lesage S., Waterham H., Wise C., Sarrauste de Menthiere C., Touitou I.,","journal":"Hum. Mutat.","doi":"10.1002/humu.20720","created_at":"2021-09-30T08:23:04.325Z","updated_at":"2021-09-30T08:23:04.325Z"}],"licence_links":[{"licence_name":"Infevers General conditions of use","licence_id":439,"licence_url":"https://infevers.umai-montpellier.fr/web/conditons.html","link_id":587,"relation":"undefined"},{"licence_name":"Infevers Instructions for use","licence_id":440,"licence_url":"https://infevers.umai-montpellier.fr/web/instructions_for_use.php","link_id":583,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":584,"relation":"undefined"}],"grants":[{"id":1221,"fairsharing_record_id":1931,"organisation_id":1417,"relation":"maintains","created_at":"2021-09-30T09:25:00.041Z","updated_at":"2021-09-30T09:25:00.041Z","grant_id":null,"is_lead":false,"saved_state":{"id":1417,"name":"Institute of Human Genetics (IGH), Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11760,"fairsharing_record_id":1931,"organisation_id":4359,"relation":"funds","created_at":"2024-05-06T08:40:11.125Z","updated_at":"2024-05-06T08:40:11.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":4359,"name":"The International Society of Systemic Auto-Inflammatory Diseases","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1904","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-26T10:01:44.149Z","metadata":{"doi":"10.25504/FAIRsharing.dt9z89","name":"DisProt","status":"ready","contacts":[{"contact_name":"Silvio C.E. Tosatto","contact_email":"silvio.tosatto@unipd.it","contact_orcid":"0000-0003-4525-7793"}],"homepage":"https://disprot.org/","citations":[{"doi":"10.1093/nar/gkw1056","pubmed_id":27899601,"publication_id":1919},{"doi":"10.1093/nar/gkz975","pubmed_id":31713636,"publication_id":1920},{"doi":"10.1093/nar/gkab1082","pubmed_id":null,"publication_id":3415}],"identifier":1904,"description":"The Database of Protein Disorder (DisProt) is a curated database that provides information about intrinsically disordered proteins that lack fixed 3D structure in their putatively native states, either in their entirety or in part. Disordered regions are manually curated from literature. DisProt annotations cover both structural and functional aspects of disorder detected by specific experimental methods.","abbreviation":"DisProt","data_curation":{"url":"https://disprot.org/biocuration","type":"manual"},"support_links":[{"url":"https://disprot.github.io/","name":"DisProt Blog","type":"Github"},{"url":"disprot@ngp-net.bio.unipd.it","name":"General Contact","type":"Support email"},{"url":"https://disprot.org/help","name":"Help","type":"Help documentation"},{"url":"https://disprot.org/about","name":"About","type":"Help documentation"},{"url":"https://disprot.org/release-notes","name":"Release Notes","type":"Help documentation"},{"url":"https://twitter.com/disprot_db","name":"@disprot_db","type":"Twitter"}],"year_creation":2006,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010561","name":"re3data:r3d100010561","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007097","name":"SciCrunch:RRID:SCR_007097","portal":"SciCrunch"}],"data_access_condition":{"url":"https://disprot.org/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled","notes":"Data drawn from literature"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000369","bsg-d000369"],"name":"FAIRsharing record for: DisProt","abbreviation":"DisProt","url":"https://fairsharing.org/10.25504/FAIRsharing.dt9z89","doi":"10.25504/FAIRsharing.dt9z89","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Protein Disorder (DisProt) is a curated database that provides information about intrinsically disordered proteins that lack fixed 3D structure in their putatively native states, either in their entirety or in part. Disordered regions are manually curated from literature. DisProt annotations cover both structural and functional aspects of disorder detected by specific experimental methods.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11526},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12648}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology","Biomedical Science","Biology"],"domains":["Protein structure","Disease","Intrinsically disordered proteins","Protein","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":424,"pubmed_id":17145717,"title":"DisProt: the Database of Disordered Proteins.","year":2006,"url":"http://doi.org/10.1093/nar/gkl893","authors":"Sickmeier M., Hamilton JA., LeGall T., Vacic V., Cortese MS., Tantos A., Szabo B., Tompa P., Chen J., Uversky VN., Obradovic Z., Dunker AK.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl893","created_at":"2021-09-30T08:23:06.075Z","updated_at":"2021-09-30T08:23:06.075Z"},{"id":1919,"pubmed_id":27899601,"title":"DisProt 7.0: a major update of the database of disordered proteins.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1056","authors":"Piovesan D,Tabaro F,Micetic I et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1056","created_at":"2021-09-30T08:25:55.954Z","updated_at":"2021-09-30T11:29:23.978Z"},{"id":1920,"pubmed_id":31713636,"title":"DisProt: intrinsic protein disorder annotation in 2020.","year":2019,"url":"http://doi.org/10.1093/nar/gkz975","authors":"Hatos A,Hajdu-Soltesz B,Monzon AM et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz975","created_at":"2021-09-30T08:25:56.051Z","updated_at":"2021-09-30T11:29:24.077Z"},{"id":3415,"pubmed_id":null,"title":"DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1082","authors":"Quaglia, Federica; Mészáros, Bálint; Salladini, Edoardo; Hatos, András; Pancsa, Rita; Chemes, Lucía B; Pajkos, Mátyás; Lazar, Tamas; Peña-Díaz, Samuel; Santos, Jaime; Ács, Veronika; Farahi, Nazanin; Fichó, Erzsébet; Aspromonte, Maria Cristina; Bassot, Claudio; Chasapi, Anastasia; Davey, Norman E; Davidović, Radoslav; Dobson, Laszlo; Elofsson, Arne; Erdős, Gábor; Gaudet, Pascale; Giglio, Michelle; Glavina, Juliana; Iserte, Javier; Iglesias, Valentín; Kálmán, Zsófia; Lambrughi, Matteo; Leonardi, Emanuela; Longhi, Sonia; Macedo-Ribeiro, Sandra; Maiani, Emiliano; Marchetti, Julia; Marino-Buslje, Cristina; Mészáros, Attila; Monzon, Alexander Miguel; Minervini, Giovanni; Nadendla, Suvarna; Nilsson, Juliet F; Novotný, Marian; Ouzounis, Christos A; Palopoli, Nicolás; Papaleo, Elena; Pereira, Pedro José Barbosa; Pozzati, Gabriele; Promponas, Vasilis J; Pujols, Jordi; Rocha, Alma Carolina Sanchez; Salas, Martin; Sawicki, Luciana Rodriguez; Schad, Eva; Shenoy, Aditi; Szaniszló, Tamás; Tsirigos, Konstantinos D; Veljkovic, Nevena; Parisi, Gustavo; Ventura, Salvador; Dosztányi, Zsuzsanna; Tompa, Peter; Tosatto, Silvio C E; Piovesan, Damiano; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1082","created_at":"2022-05-26T08:42:53.580Z","updated_at":"2022-05-26T08:42:53.580Z"},{"id":4296,"pubmed_id":37904585,"title":"DisProt in 2024: improving function annotation of intrinsically disordered proteins.","year":2024,"url":"https://doi.org/10.1093/nar/gkad928","authors":"Aspromonte MC, Nugnes MV, Quaglia F, Bouharoua A, DisProt Consortium, Tosatto SCE, Piovesan D","journal":"Nucleic acids research","doi":"10.1093/nar/gkad928","created_at":"2024-06-24T11:19:11.391Z","updated_at":"2024-06-24T11:19:11.391Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2440,"relation":"undefined"}],"grants":[{"id":1160,"fairsharing_record_id":1904,"organisation_id":2175,"relation":"funds","created_at":"2021-09-30T09:24:58.138Z","updated_at":"2021-09-30T09:24:58.138Z","grant_id":null,"is_lead":false,"saved_state":{"id":2175,"name":"Non-Globular Proteins-net (NGP-net), Padova, Italy","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1161,"fairsharing_record_id":1904,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:24:58.168Z","updated_at":"2021-09-30T09:24:58.168Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1159,"fairsharing_record_id":1904,"organisation_id":3001,"relation":"maintains","created_at":"2021-09-30T09:24:58.115Z","updated_at":"2022-10-20T14:45:38.203Z","grant_id":null,"is_lead":true,"saved_state":{"id":3001,"name":"University of Padua","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1162,"fairsharing_record_id":1904,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:24:58.207Z","updated_at":"2021-09-30T09:32:12.063Z","grant_id":1513,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","grant":"778247","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZXc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ce333deb845c2c22f31a600d5f86c7627e01aa1d/disprotlogo.png?disposition=inline","exhaustive_licences":false}},{"id":"1911","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:27:38.245Z","metadata":{"doi":"10.25504/FAIRsharing.c3kchy","name":"SpodoBase","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"spodobase@ensam.inra.fr"}],"homepage":"http://www.spodobase.univ-montp2.fr/Spodobase/","citations":[],"identifier":1911,"description":"SpodoBase is an integrated database for the genomics of the Lepidoptera Spodoptera frugiperda. It is a publicly available structured database with insect pest sequences which will allow identification of a number of genes and comprehensive cloning of gene families of interest for the scientific community.","abbreviation":"SpodoBase","data_curation":{"type":"not found"},"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://bioweb.ensam.inra.fr/Spodopterav3/blast","name":"BLAST"}],"deprecation_date":"2023-03-20","deprecation_reason":"The database seems still there, but the FAIRsharing team can no longer access the data or assess its quality so we have deprecated the record. Please get in touch if you have any information. \n","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000376","bsg-d000376"],"name":"FAIRsharing record for: SpodoBase","abbreviation":"SpodoBase","url":"https://fairsharing.org/10.25504/FAIRsharing.c3kchy","doi":"10.25504/FAIRsharing.c3kchy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SpodoBase is an integrated database for the genomics of the Lepidoptera Spodoptera frugiperda. It is a publicly available structured database with insect pest sequences which will allow identification of a number of genes and comprehensive cloning of gene families of interest for the scientific community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Spodoptera frugiperda"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":407,"pubmed_id":16796757,"title":"SPODOBASE: an EST database for the lepidopteran crop pest Spodoptera.","year":2006,"url":"http://doi.org/10.1186/1471-2105-7-322","authors":"Nègre V., Hôtelier T., Volkoff AN., Gimenez S., Cousserans F., Mita K., Sabau X., Rocher J., López-Ferber M., d'Alençon E., Audant P., Sabourault C., Bidegainberry V., Hilliou F., Fournier P.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-7-322","created_at":"2021-09-30T08:23:04.217Z","updated_at":"2021-09-30T08:23:04.217Z"}],"licence_links":[],"grants":[{"id":1179,"fairsharing_record_id":1911,"organisation_id":2008,"relation":"maintains","created_at":"2021-09-30T09:24:58.750Z","updated_at":"2021-09-30T09:24:58.750Z","grant_id":null,"is_lead":false,"saved_state":{"id":2008,"name":"National Institute of Agrobiological Sciences (NIAS), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1177,"fairsharing_record_id":1911,"organisation_id":3101,"relation":"funds","created_at":"2021-09-30T09:24:58.678Z","updated_at":"2021-09-30T09:24:58.678Z","grant_id":null,"is_lead":false,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1178,"fairsharing_record_id":1911,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:24:58.717Z","updated_at":"2021-09-30T09:24:58.717Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1912","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-25T17:07:28.102Z","metadata":{"doi":"10.25504/FAIRsharing.pmg2vd","name":"GenAtlas","status":"ready","contacts":[{"contact_name":"Alexandra Caude","contact_email":"alexandra.caude@inserm.fr"}],"homepage":"http://genatlas.medecine.univ-paris5.fr/","citations":[{"doi":"10.1016/s0764-4469(99)80021-3","pubmed_id":9835018,"publication_id":413}],"identifier":1912,"description":"GenAtlas is a database containing information on human genes, markers and phenotypes. It provides information on the structure, expression and function of genes, gene mutations and their consequences on diseases. Ontologies used for annotation are constructed to allow a classification in three sub-databases: gene, phenotypes and selected references.","abbreviation":null,"data_curation":{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=1","type":"manual"},"support_links":[{"url":"http://genatlas.medecine.univ-paris5.fr/Help.html","name":"Help","type":"Help documentation"},{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=1","name":"About","type":"Help documentation"},{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=2","name":"Getting Started","type":"Help documentation"}],"year_creation":1986,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://genatlas.medecine.univ-paris5.fr/imagine/home.php?sous_menu=5","type":"not applicable","notes":"Curators manually add new data; if you are interested in deposition, then please contact them."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000377","bsg-d000377"],"name":"FAIRsharing record for: GenAtlas","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pmg2vd","doi":"10.25504/FAIRsharing.pmg2vd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GenAtlas is a database containing information on human genes, markers and phenotypes. It provides information on the structure, expression and function of genes, gene mutations and their consequences on diseases. Ontologies used for annotation are constructed to allow a classification in three sub-databases: gene, phenotypes and selected references.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Phenotype","Disorder","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":413,"pubmed_id":9835018,"title":"Genatlas database, genes and development defects","year":1998,"url":"http://doi.org/10.1016/s0764-4469(99)80021-3","authors":"Frézal J.,","journal":"C. R. Acad. Sci. III, Sci. Vie","doi":"10.1016/s0764-4469(99)80021-3","created_at":"2021-09-30T08:23:04.866Z","updated_at":"2021-09-30T08:23:04.866Z"},{"id":1510,"pubmed_id":10444337,"title":"Human genes involved in chromatin remodeling in transcription initiation, and associated diseases: An overview using the GENAtlas database","year":1999,"url":"http://doi.org/10.1006/mgme.1999.2867","authors":"Roux-Rouquie M., Chauvet ML., Munnich A., Frezal J.,","journal":"Mol. Genet. Metab.","doi":"10.1006/mgme.1999.2867","created_at":"2021-09-30T08:25:09.044Z","updated_at":"2021-09-30T08:25:09.044Z"}],"licence_links":[],"grants":[{"id":10667,"fairsharing_record_id":1912,"organisation_id":4022,"relation":"maintains","created_at":"2023-06-14T10:52:00.456Z","updated_at":"2023-06-14T10:52:00.456Z","grant_id":null,"is_lead":true,"saved_state":{"id":4022,"name":"Imagine Institute for Genetic Diseases","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1181,"fairsharing_record_id":1912,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:24:58.834Z","updated_at":"2021-09-30T09:24:58.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbm9FIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1dde8e41920f3121c98bbf7e0b18a55b8ebe113e/Screenshot%20from%202024-06-25%2008-40-47.png?disposition=inline","exhaustive_licences":false}},{"id":"1913","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:18.561Z","metadata":{"doi":"10.25504/FAIRsharing.vk3v6s","name":"GermOnline","status":"ready","contacts":[{"contact_name":"Michael Primig","contact_email":"michael.primig@inserm.fr"}],"homepage":"http://www.germonline.org/index.html","identifier":1913,"description":"GermOnline is a cross-species database gateway focusing on high-throughput expression data relevant for germline development, the meiotic cell cycle and mitosis in healthy versus malignant cells. The portal provides access to the Saccharomyces Genomics Viewer (SGV) which facilitates online interpretation of complex data from experiments with high-density oligonucleotide tiling microarrays that cover the entire yeast genome.","abbreviation":"GermOnline","data_curation":{"type":"not found"},"support_links":[{"url":"http://wiki.germonline.org/doku.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.germonline.org/gol_4_userguide.pdf","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010248","name":"re3data:r3d100010248","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002807","name":"SciCrunch:RRID:SCR_002807","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000378","bsg-d000378"],"name":"FAIRsharing record for: GermOnline","abbreviation":"GermOnline","url":"https://fairsharing.org/10.25504/FAIRsharing.vk3v6s","doi":"10.25504/FAIRsharing.vk3v6s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GermOnline is a cross-species database gateway focusing on high-throughput expression data relevant for germline development, the meiotic cell cycle and mitosis in healthy versus malignant cells. The portal provides access to the Saccharomyces Genomics Viewer (SGV) which facilitates online interpretation of complex data from experiments with high-density oligonucleotide tiling microarrays that cover the entire yeast genome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Meiosis I","Meiosis II","Gene"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Macaca mulatta","Mus musculus","Pan troglodytes","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":417,"pubmed_id":21149299,"title":"GermOnline 4.0 is a genomics gateway for germline development, meiosis and the mitotic cell cycle.","year":2010,"url":"http://doi.org/10.1093/database/baq030","authors":"Lardenois A., Gattiker A., Collin O., Chalmel F., Primig M.,","journal":"Database (Oxford)","doi":"10.1093/database/baq030","created_at":"2021-09-30T08:23:05.308Z","updated_at":"2021-09-30T08:23:05.308Z"}],"licence_links":[],"grants":[{"id":1182,"fairsharing_record_id":1913,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:24:58.866Z","updated_at":"2021-09-30T09:24:58.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1924","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-16T18:58:58.327Z","metadata":{"doi":"10.25504/FAIRsharing.40j2vd","name":"Bacillus subtilis strain 168 genome","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"moszer@pasteur.fr"}],"homepage":"http://genolist.pasteur.fr/SubtiList/","citations":[],"identifier":1924,"description":"Its purpose is to collate and integrate various aspects of the genomic information from B. subtilis, the paradigm of sporulating Gram-positive bacteria. SubtiList provides a complete dataset of DNA and protein sequences derived from the paradigm strain B. subtilis 168, linked to the relevant annotations and functional assignments","abbreviation":"SubtiList","data_curation":{"type":"not found"},"support_links":[{"url":"http://genolist.pasteur.fr/SubtiList/help/general.html","type":"Help documentation"}],"year_creation":1996,"data_versioning":"not found","associated_tools":[{"url":"http://genolist.pasteur.fr/SubtiList/help/blast-search.html","name":"BLAST"}],"deprecation_date":"2018-04-10","deprecation_reason":"This resource is now deprecated due to the creation of the GenoList multi-genome browser, which contains updated annotations and comparative functionalities across hundreds of genomes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000389","bsg-d000389"],"name":"FAIRsharing record for: Bacillus subtilis strain 168 genome","abbreviation":"SubtiList","url":"https://fairsharing.org/10.25504/FAIRsharing.40j2vd","doi":"10.25504/FAIRsharing.40j2vd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Its purpose is to collate and integrate various aspects of the genomic information from B. subtilis, the paradigm of sporulating Gram-positive bacteria. SubtiList provides a complete dataset of DNA and protein sequences derived from the paradigm strain B. subtilis 168, linked to the relevant annotations and functional assignments","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Bacillus subtilis"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":415,"pubmed_id":11752255,"title":"SubtiList: the reference database for the Bacillus subtilis genome.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.62","authors":"Moszer I., Jones LM., Moreira S., Fabry C., Danchin A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.62","created_at":"2021-09-30T08:23:05.108Z","updated_at":"2021-09-30T08:23:05.108Z"}],"licence_links":[],"grants":[{"id":1207,"fairsharing_record_id":1924,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:24:59.679Z","updated_at":"2021-09-30T09:24:59.679Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1208,"fairsharing_record_id":1924,"organisation_id":1974,"relation":"maintains","created_at":"2021-09-30T09:24:59.708Z","updated_at":"2021-09-30T09:24:59.708Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1209,"fairsharing_record_id":1924,"organisation_id":1454,"relation":"maintains","created_at":"2021-09-30T09:24:59.733Z","updated_at":"2021-09-30T09:24:59.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1454,"name":"Institut Pasteur, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1925","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:17:01.320Z","metadata":{"doi":"10.25504/FAIRsharing.rxe7z2","name":"PDZBase","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"pdzbase@med.cornell.edu"}],"homepage":"http://abc.med.cornell.edu/pdzbase","identifier":1925,"description":"PDZBase is a manually curated protein-protein interaction database developed specifically for interactions involving PDZ domains. PDZBase currently contains 339 experimentally determined protein protein interactions.","abbreviation":"PDZBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://icb.med.cornell.edu/crt/PDZBase/index.xml","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000390","bsg-d000390"],"name":"FAIRsharing record for: PDZBase","abbreviation":"PDZBase","url":"https://fairsharing.org/10.25504/FAIRsharing.rxe7z2","doi":"10.25504/FAIRsharing.rxe7z2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDZBase is a manually curated protein-protein interaction database developed specifically for interactions involving PDZ domains. PDZBase currently contains 339 experimentally determined protein protein interactions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12652}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Protein domain","Protein interaction","Ligand","Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2122,"pubmed_id":15513994,"title":"PDZBase: a protein-protein interaction database for PDZ-domains.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bti098","authors":"Beuming T., Skrabanek L., Niv MY., Mukherjee P., Weinstein H.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti098","created_at":"2021-09-30T08:26:19.233Z","updated_at":"2021-09-30T08:26:19.233Z"}],"licence_links":[],"grants":[{"id":1210,"fairsharing_record_id":1925,"organisation_id":580,"relation":"maintains","created_at":"2021-09-30T09:24:59.757Z","updated_at":"2021-09-30T09:24:59.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":580,"name":"Computational Biology Ph.D. Program, Cornell University, Ithaca, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1211,"fairsharing_record_id":1925,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:24:59.782Z","updated_at":"2021-09-30T09:28:55.518Z","grant_id":18,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P01 DA12923","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8099,"fairsharing_record_id":1925,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:57.079Z","updated_at":"2021-09-30T09:30:57.133Z","grant_id":949,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"K05 DA00060","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8436,"fairsharing_record_id":1925,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:38.769Z","updated_at":"2021-09-30T09:32:38.817Z","grant_id":1715,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P01 DA124080","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1926","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:42:38.279Z","metadata":{"doi":"10.25504/FAIRsharing.fh5zm7","name":"Signaling Pathway Information System","status":"deprecated","contacts":[{"contact_email":"fac2003@med.cornell.edu"}],"homepage":"http://icb.med.cornell.edu/crt/SigPath/index.xml","identifier":1926,"description":"SigPath is an information system designed to support quantitative studies on the signaling pathways and networks of the cell.A primary emphasis of SigPath is that biochemical information is stored with the details required to make possible quantitative modeling of specific aspects of the cellular machinery. A second emphasis of the system is that SigPath provides user-friendly ways to submit information.","abbreviation":"SigPath","data_curation":{"type":"not found"},"support_links":[{"url":"http://icb.med.cornell.edu/crt/SigPath/index.xml","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2015-07-28","deprecation_reason":"This resource is no longer maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000391","bsg-d000391"],"name":"FAIRsharing record for: Signaling Pathway Information System","abbreviation":"SigPath","url":"https://fairsharing.org/10.25504/FAIRsharing.fh5zm7","doi":"10.25504/FAIRsharing.fh5zm7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SigPath is an information system designed to support quantitative studies on the signaling pathways and networks of the cell.A primary emphasis of SigPath is that biochemical information is stored with the details required to make possible quantitative modeling of specific aspects of the cellular machinery. A second emphasis of the system is that SigPath provides user-friendly ways to submit information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Network model","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1254,"relation":"undefined"}],"grants":[{"id":1212,"fairsharing_record_id":1926,"organisation_id":580,"relation":"maintains","created_at":"2021-09-30T09:24:59.807Z","updated_at":"2021-09-30T09:24:59.807Z","grant_id":null,"is_lead":false,"saved_state":{"id":580,"name":"Computational Biology Ph.D. Program, Cornell University, Ithaca, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1932","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:11:00.156Z","metadata":{"doi":"10.25504/FAIRsharing.v8se8r","name":"MycoBank","status":"ready","contacts":[{"contact_name":"Vincent Robert","contact_email":"v.robert@wi.knaw.nl"}],"homepage":"http://www.mycobank.org","citations":[],"identifier":1932,"description":"MycoBank was created for the mycological community (as well as scientific community more generally) to document new mycological names, combinations and associated data (such as descriptions and illustrations). Pairwise sequence alignments and polyphasic identifications of fungi and yeasts against curated references databases are available. Nomenclatural experts will be available to check the validity, legitimacy and linguistic correctness of the proposed names in order to avoid nomenclatural error. Deposited names can remain confidential until after publication as required. Once public, the names are accessible through MycoBank, Index Fungorum, GBIF and other international biodiversity initiatives, where they will further be linked to other databases. MycoBank will (when applicable) provide onward links to other databases containing, for example, living cultures, DNA data, reference specimens and pleomorphic names linked to the same holomorph. Authors intending to publish nomenclatural novelties are encouraged to contribute.","abbreviation":"MycoBank","data_curation":{"url":"https://www.mycobank.org/FAQ_and_help","type":"manual"},"support_links":[{"url":"https://www.mycobank.org/news","name":"News","type":"Blog/News"},{"url":"https://www.mycobank.org/page/Contact","name":"Contact Mycobank","type":"Contact form"},{"url":"https://www.mycobank.org/page/FAQ_and_help","name":"FAQ and Help","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.mycobank.org/forum","name":"Forum","type":"Forum"},{"url":"https://www.mycobank.org/page/Stats%20page","name":"Statistics","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011222","name":"re3data:r3d100011222","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004950","name":"SciCrunch:RRID:SCR_004950","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.mycobank.org/page/Registration%20home","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000397","bsg-d000397"],"name":"FAIRsharing record for: MycoBank","abbreviation":"MycoBank","url":"https://fairsharing.org/10.25504/FAIRsharing.v8se8r","doi":"10.25504/FAIRsharing.v8se8r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MycoBank was created for the mycological community (as well as scientific community more generally) to document new mycological names, combinations and associated data (such as descriptions and illustrations). Pairwise sequence alignments and polyphasic identifications of fungi and yeasts against curated references databases are available. Nomenclatural experts will be available to check the validity, legitimacy and linguistic correctness of the proposed names in order to avoid nomenclatural error. Deposited names can remain confidential until after publication as required. Once public, the names are accessible through MycoBank, Index Fungorum, GBIF and other international biodiversity initiatives, where they will further be linked to other databases. MycoBank will (when applicable) provide onward links to other databases containing, for example, living cultures, DNA data, reference specimens and pleomorphic names linked to the same holomorph. Authors intending to publish nomenclatural novelties are encouraged to contribute.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13564}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Biology"],"domains":["Taxonomic classification","Nucleotide","Sequence alignment","Classification"],"taxonomies":["Fungi"],"user_defined_tags":["Mycology"],"countries":["Netherlands"],"publications":[{"id":1631,"pubmed_id":24563843,"title":"MycoBank gearing up for new horizons.","year":2014,"url":"http://doi.org/10.5598/imafungus.2013.04.02.16","authors":"Robert V,Vu D,Amor AB,van de Wiele N, et al.","journal":"IMA Fungus","doi":"10.5598/imafungus.2013.04.02.16","created_at":"2021-09-30T08:25:22.753Z","updated_at":"2021-09-30T08:25:22.753Z"},{"id":2860,"pubmed_id":null,"title":"MycoBank: an online initiative to launch mycology into the 21st century","year":2004,"url":"https://studiesinmycology.org/sim/Sim50/003-MycoBank_an_online_initiative_to_launch_mycology_into_the_21st_century.pdf","authors":"Crous PW, Gams W, Stalpers JA, Robert V and Stegehuis G","journal":"Studies in Mycology","doi":null,"created_at":"2021-09-30T08:27:51.848Z","updated_at":"2021-09-30T08:27:51.848Z"}],"licence_links":[],"grants":[{"id":1226,"fairsharing_record_id":1932,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:00.167Z","updated_at":"2021-09-30T09:25:00.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1225,"fairsharing_record_id":1932,"organisation_id":1502,"relation":"maintains","created_at":"2021-09-30T09:25:00.141Z","updated_at":"2021-09-30T09:25:00.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":1502,"name":"International Mycological Association (IMA)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1223,"fairsharing_record_id":1932,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:00.091Z","updated_at":"2021-09-30T09:25:00.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8684,"fairsharing_record_id":1932,"organisation_id":3280,"relation":"associated_with","created_at":"2022-01-06T14:34:44.150Z","updated_at":"2022-01-06T14:34:44.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":3280,"name":"MIRRI Microbial Resource Research Infrastructure","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1222,"fairsharing_record_id":1932,"organisation_id":797,"relation":"funds","created_at":"2021-09-30T09:25:00.067Z","updated_at":"2021-09-30T09:25:00.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":797,"name":"Dutch Ministry of Education Culture and Science (OCW), the Netherlands","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1224,"fairsharing_record_id":1932,"organisation_id":1994,"relation":"funds","created_at":"2021-09-30T09:25:00.117Z","updated_at":"2021-09-30T09:25:00.117Z","grant_id":null,"is_lead":false,"saved_state":{"id":1994,"name":"National Health and Medical Research Council (NHMRC), Australia","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1927","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:57:45.094Z","metadata":{"doi":"10.25504/FAIRsharing.dvyrsz","name":"PeptideAtlas","status":"ready","contacts":[{"contact_name":"Eric W. Deutsch","contact_email":"edeutsch@systemsbiology.org","contact_orcid":"0000-0001-8732-0928"}],"homepage":"http://www.peptideatlas.org","identifier":1927,"description":"The PeptideAtlas Project provides a publicly-accessible database of peptides identified in tandem mass spectrometry proteomics studies and software tools. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and sequence and spectral library searches are applied. Analyses are performed to produce a probability of correct identification for all results in a uniform manner, together with false discovery rates at the whole-atlas level.","abbreviation":"PeptideAtlas","data_curation":{"type":"manual","notes":"submission metadata form at user interface"},"support_links":[{"url":"http://www.peptideatlas.org/feedback.php","name":"Contact Form","type":"Contact form"},{"url":"http://www.peptideatlas.org/public/faq.php","name":"Peptide Atlas FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010889","name":"re3data:r3d100010889","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006783","name":"SciCrunch:RRID:SCR_006783","portal":"SciCrunch"}],"data_access_condition":{"url":"https://peptideatlas.org/faq.php","type":"open","notes":"PeptideAtlas allows minimum public access (private) via user erquest"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://db.systemsbiology.net/sbeams/cgi/PeptideAtlas/PASS_Submit","type":"controlled","notes":"requires registration; allows only data type-specific deposits for SRM experimental results from analysis of biological samples."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000392","bsg-d000392"],"name":"FAIRsharing record for: PeptideAtlas","abbreviation":"PeptideAtlas","url":"https://fairsharing.org/10.25504/FAIRsharing.dvyrsz","doi":"10.25504/FAIRsharing.dvyrsz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PeptideAtlas Project provides a publicly-accessible database of peptides identified in tandem mass spectrometry proteomics studies and software tools. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and sequence and spectral library searches are applied. Analyses are performed to produce a probability of correct identification for all results in a uniform manner, together with false discovery rates at the whole-atlas level.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10768},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10944},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11061},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15064}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Molecular structure","Mass spectrum","Annotation","Structure","Protein"],"taxonomies":["Apis","Bos taurus","Caenorhabditis elegans","Candida","Danio rerio","Drosophila","Equus caballus","Halobacteria","Homo sapiens","Leptospira interrogans","Mus musculus","Rattus rattus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Streptococcus","Sus scrofa"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":419,"pubmed_id":18451766,"title":"PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows.","year":2008,"url":"http://doi.org/10.1038/embor.2008.56","authors":"Deutsch EW, Lam H, Aebersold R.","journal":"EMBO Rep.","doi":"10.1038/embor.2008.56.","created_at":"2021-09-30T08:23:05.559Z","updated_at":"2021-09-30T08:23:05.559Z"},{"id":740,"pubmed_id":16381952,"title":"The PeptideAtlas project","year":2005,"url":"http://doi.org/10.1093/nar/gkj040","authors":"Desiere F, Deutsch EW, King NL, Nesvizhskii AI, Mallick P, Eng J, Chen S, Eddes J, Loevenich SN, Aebersold R.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj040","created_at":"2021-09-30T08:23:41.503Z","updated_at":"2021-09-30T08:23:41.503Z"}],"licence_links":[{"licence_name":"Peptide Atlas Availability Statement","licence_id":655,"licence_url":"http://www.peptideatlas.org/public/faq.php","link_id":2375,"relation":"undefined"}],"grants":[{"id":1213,"fairsharing_record_id":1927,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:24:59.840Z","updated_at":"2021-09-30T09:24:59.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1214,"fairsharing_record_id":1927,"organisation_id":2537,"relation":"maintains","created_at":"2021-09-30T09:24:59.866Z","updated_at":"2021-09-30T09:24:59.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":2537,"name":"Seattle Proteome Center","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1215,"fairsharing_record_id":1927,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:24:59.890Z","updated_at":"2021-09-30T09:31:13.234Z","grant_id":1070,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01-HV-28179","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1945","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:34:54.010Z","metadata":{"doi":"10.25504/FAIRsharing.j0t0pe","name":"The Human Protein Atlas","status":"ready","contacts":[{"contact_name":"Mathias Uhlen","contact_email":"mathias.uhlen@scilifelab.se","contact_orcid":"0000-0002-4858-8056"}],"homepage":"https://www.proteinatlas.org/","citations":[{"doi":"10.1126/science.1260419","pubmed_id":25613900,"publication_id":780}],"identifier":1945,"description":"The Human Protein Atlas (HPA) portal is a publicly available database with millions of high-resolution images showing the spatial distribution of proteins in a number of different wild-type tissues, single cell types, cancer types and human cell lines. The goal of the HPA is to map all the human proteins in cells, tissues and organs using an integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics and systems biology. The HPA portal is composed of twelve parts: the Tissue section, the Brain section, the Single Cell Type section, the Tissue cell type section, the Pathology section, the Disease section, the Immune cell section, the Blood protein section, the Subcellular section, the Cell line section, the Structure section, and the Interaction section.","abbreviation":"HPA","data_curation":{"url":"https://www.proteinatlas.org/about/releases","type":"manual/automated","notes":"Protein Atlas Release History"},"support_links":[{"url":"https://www.proteinatlas.org/news","name":"News","type":"Blog/News"},{"url":"https://www.proteinatlas.org/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ProteinAtlas","name":"@ProteinAtlas","type":"Twitter"},{"url":"contact@proteinatlas.org","name":"Help Contact","type":"Support email"},{"url":"https://www.proteinatlas.org/about/help#FAQ","name":"Questions \u0026 FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.proteinatlas.org/learn/videos","name":"Learning Videos","type":"Video"}],"year_creation":2003,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010931","name":"re3data:r3d100010931","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006710","name":"SciCrunch:RRID:SCR_006710","portal":"SciCrunch"}],"data_access_condition":{"url":"https://v13.proteinatlas.org/about/datausage","type":"open","notes":"Data Usage Policy"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.proteinatlas.org/about/submission","type":"open","notes":"The Human Protein Atlas project invites submission of antibodies from both academic and commercial sources"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000411","bsg-d000411"],"name":"FAIRsharing record for: The Human Protein Atlas","abbreviation":"HPA","url":"https://fairsharing.org/10.25504/FAIRsharing.j0t0pe","doi":"10.25504/FAIRsharing.j0t0pe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Protein Atlas (HPA) portal is a publicly available database with millions of high-resolution images showing the spatial distribution of proteins in a number of different wild-type tissues, single cell types, cancer types and human cell lines. The goal of the HPA is to map all the human proteins in cells, tissues and organs using an integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics and systems biology. The HPA portal is composed of twelve parts: the Tissue section, the Brain section, the Single Cell Type section, the Tissue cell type section, the Pathology section, the Disease section, the Immune cell section, the Blood protein section, the Subcellular section, the Cell line section, the Structure section, and the Interaction section.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18221},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11220},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11350},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11528},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11844},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12655},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15065}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Transcriptomics","Biomedical Science","Systems Biology"],"domains":["Molecular structure","Bioimaging","Medical imaging","Cell line","Cancer","Protein localization","Gene expression","Antibody","Cellular localization","Protein expression","Mass spectrometry assay","Structure","Protein","Blood","Tissue","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Sweden"],"publications":[{"id":16,"pubmed_id":18669619,"title":"A genecentric Human Protein Atlas for expression profiles based on antibodies.","year":2008,"url":"http://doi.org/10.1074/mcp.R800013-MCP200","authors":"Berglund L., Björling E., Oksvold P., Fagerberg L., Asplund A., Szigyarto CA., Persson A., Ottosson J., Wernérus H., Nilsson P., Lundberg E., Sivertsson A., Navani S., Wester K., Kampf C., Hober S., Pontén F., Uhlén M.,","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.R800013-MCP200","created_at":"2021-09-30T08:22:22.179Z","updated_at":"2021-09-30T08:22:22.179Z"},{"id":637,"pubmed_id":18853439,"title":"The Human Protein Atlas--a tool for pathology.","year":2008,"url":"http://doi.org/10.1002/path.2440","authors":"Ponten F,Jirstrom K,Uhlen M","journal":"J Pathol","doi":"10.1002/path.2440","created_at":"2021-09-30T08:23:30.129Z","updated_at":"2021-09-30T08:23:30.129Z"},{"id":654,"pubmed_id":27044256,"title":"Transcriptomics resources of human tissues and organs.","year":2016,"url":"http://doi.org/10.15252/msb.20155865","authors":"Uhlen M,Hallstrom BM,Lindskog C,Mardinoglu A,Ponten F,Nielsen J","journal":"Mol Syst Biol","doi":"10.15252/msb.20155865","created_at":"2021-09-30T08:23:32.186Z","updated_at":"2021-09-30T08:23:32.186Z"},{"id":780,"pubmed_id":25613900,"title":"Tissue-based map of the human proteome.","year":2015,"url":"http://doi.org/10.1126/science.1260419","authors":"Uhlen M,Fagerberg L,Hallstrom BM et al.","journal":"Science","doi":"10.1126/science.1260419","created_at":"2021-09-30T08:23:45.944Z","updated_at":"2021-09-30T08:23:45.944Z"},{"id":825,"pubmed_id":28818916,"title":"A pathology atlas of the human cancer transcriptome","year":2017,"url":"http://doi.org/eaan2507","authors":"Mathias Uhlen, Cheng Zhang, Sunjae Lee et al.","journal":"Science","doi":"10.1126/science.aan2507","created_at":"2021-09-30T08:23:50.946Z","updated_at":"2021-09-30T08:23:50.946Z"},{"id":1982,"pubmed_id":21139605,"title":"Towards a knowledge-based Human Protein Atlas.","year":2010,"url":"http://doi.org/10.1038/nbt1210-1248","authors":"Uhlen M,Oksvold P,Fagerberg L,Lundberg E,Jonasson K,Forsberg M,Zwahlen M,Kampf C,Wester K,Hober S,Wernerus H,Bjorling L,Ponten F","journal":"Nat Biotechnol","doi":"10.1038/nbt1210-1248","created_at":"2021-09-30T08:26:03.057Z","updated_at":"2021-09-30T08:26:03.057Z"},{"id":2076,"pubmed_id":16127175,"title":"A human protein atlas for normal and cancer tissues based on antibody proteomics.","year":2005,"url":"http://doi.org/10.1074/mcp.M500279-MCP200","authors":"Uhlen M,Bjorling E,Agaton C et al.","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.M500279-MCP200","created_at":"2021-09-30T08:26:14.057Z","updated_at":"2021-09-30T08:26:14.057Z"},{"id":2470,"pubmed_id":28495876,"title":"A subcellular map of the human proteome.","year":2017,"url":"http://doi.org/eaal3321","authors":"Thul PJ,Akesson L,Wiking M et al.","journal":"Science","doi":"eaal3321","created_at":"2021-09-30T08:27:02.902Z","updated_at":"2021-09-30T08:27:02.902Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":918,"relation":"undefined"},{"licence_name":"HPA Licence and Citation","licence_id":402,"licence_url":"https://www.proteinatlas.org/about/licence","link_id":929,"relation":"undefined"}],"grants":[{"id":1262,"fairsharing_record_id":1945,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:25:01.234Z","updated_at":"2021-09-30T09:25:01.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1261,"fairsharing_record_id":1945,"organisation_id":2795,"relation":"funds","created_at":"2021-09-30T09:25:01.204Z","updated_at":"2021-09-30T09:25:01.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":2795,"name":"The Knut and Alice Wallenberg Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1263,"fairsharing_record_id":1945,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:25:01.258Z","updated_at":"2021-09-30T09:25:01.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1264,"fairsharing_record_id":1945,"organisation_id":1651,"relation":"maintains","created_at":"2021-09-30T09:25:01.289Z","updated_at":"2021-09-30T09:25:01.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":1651,"name":"KTH Royal Institute of Technology, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdWdDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--102e396bff776211a35c9c5edb423a80c1237953/hpa_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1946","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:58.123Z","metadata":{"doi":"10.25504/FAIRsharing.wkaakq","name":"Protein Model Database","status":"ready","contacts":[{"contact_name":"Anna Tramontano","contact_email":"anna.tramontano@uniroma1.it"}],"homepage":"http://srv00.recas.ba.infn.it/PMDB/main.php","citations":[{"doi":"10.1093/nar/gkj105","pubmed_id":16381873,"publication_id":439}],"identifier":1946,"description":"The Protein Model DataBase (PMDB) is a database that stores three dimensional protein models obtained by structure prediction techniques.","abbreviation":"PMDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://srv00.recas.ba.infn.it/PMDB/my_news.php","name":"News","type":"Blog/News"},{"url":"hpc-service-bio@cineca.it","name":"hpc-service-bio@cineca.it","type":"Support email"},{"url":"info@biocomputing.it","name":"info@biocomputing.it","type":"Support email"},{"url":"http://srv00.recas.ba.infn.it/PMDB/help.php","name":"Help Page","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","data_access_condition":{"url":"http://srv00.recas.ba.infn.it/PMDB/help.php","type":"open","notes":"Access to the repository is free."},"data_contact_information":"not found","data_deposition_condition":{"url":"http://srv00.recas.ba.infn.it/PMDB/help.php","type":"open","notes":"Free registration is only required to deposit models."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000412","bsg-d000412"],"name":"FAIRsharing record for: Protein Model Database","abbreviation":"PMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.wkaakq","doi":"10.25504/FAIRsharing.wkaakq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein Model DataBase (PMDB) is a database that stores three dimensional protein models obtained by structure prediction techniques.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12656}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","Protein structure","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":439,"pubmed_id":16381873,"title":"The PMDB Protein Model Database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj105","authors":"Castrignanò T., De Meo PD., Cozzetto D., Talamo IG., Tramontano A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj105","created_at":"2021-09-30T08:23:07.684Z","updated_at":"2021-09-30T08:23:07.684Z"}],"licence_links":[{"licence_name":"PMDB Attribution required","licence_id":673,"licence_url":"http://srv00.recas.ba.infn.it/PMDB/help.php","link_id":1311,"relation":"undefined"}],"grants":[{"id":1265,"fairsharing_record_id":1946,"organisation_id":2492,"relation":"funds","created_at":"2021-09-30T09:25:01.331Z","updated_at":"2021-09-30T09:25:01.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":2492,"name":"Sapienza University of Rome, Rome, Italy","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1266,"fairsharing_record_id":1946,"organisation_id":522,"relation":"maintains","created_at":"2021-09-30T09:25:01.372Z","updated_at":"2021-09-30T09:25:01.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":522,"name":"CINECA, Bologna, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1267,"fairsharing_record_id":1946,"organisation_id":274,"relation":"funds","created_at":"2021-09-30T09:25:01.410Z","updated_at":"2021-09-30T09:31:28.258Z","grant_id":1183,"is_lead":false,"saved_state":{"id":274,"name":"BioSapiens Network of Excellence, Europe","grant":"LHSG-CT-203-503265","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1947","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-09T09:44:49.838Z","metadata":{"doi":"10.25504/FAIRsharing.bpxgb6","name":"Greengenes","status":"deprecated","contacts":[{"contact_name":"Gary L Andersen","contact_email":"GLAndersen@lbl.gov","contact_orcid":"0000-0002-1618-9827"}],"homepage":"http://greengenes.lbl.gov","citations":[],"identifier":1947,"description":"A 16S rRNA gene database which provides chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. Please note that this is a downloadable resource only, without an interactive web interface.","abbreviation":"Greengenes","data_curation":{"url":"https://greengenes.lbl.gov/Download/FAQS/index.htm#quickly","type":"automated"},"support_links":[{"url":"http://greengenes.lbl.gov/Download/Tutorial/FAQ.htm","type":"Frequently Asked Questions (FAQs)"},{"url":"https://greengenes.lbl.gov/Download/Tutorial/Tutorial_19Dec05.pdf","name":"Tutorial","type":"Training documentation"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010549","name":"re3data:r3d100010549","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002830","name":"SciCrunch:RRID:SCR_002830","portal":"SciCrunch"}],"deprecation_date":"2024-05-09","deprecation_reason":"This record can no longer be considered a database, but the files remain available for download. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000413","bsg-d000413"],"name":"FAIRsharing record for: Greengenes","abbreviation":"Greengenes","url":"https://fairsharing.org/10.25504/FAIRsharing.bpxgb6","doi":"10.25504/FAIRsharing.bpxgb6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A 16S rRNA gene database which provides chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. Please note that this is a downloadable resource only, without an interactive web interface.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Life Science"],"domains":["Ribonucleic acid","Recombinant DNA","Sequence alignment","16S rRNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":442,"pubmed_id":16820507,"title":"Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.","year":2006,"url":"http://doi.org/10.1128/AEM.03006-05","authors":"DeSantis TZ., Hugenholtz P., Larsen N., Rojas M., Brodie EL., Keller K., Huber T., Dalevi D., Hu P., Andersen GL.,","journal":"Appl. Environ. Microbiol.","doi":"10.1128/AEM.03006-05","created_at":"2021-09-30T08:23:07.983Z","updated_at":"2021-09-30T08:23:07.983Z"}],"licence_links":[],"grants":[{"id":1269,"fairsharing_record_id":1947,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:25:01.487Z","updated_at":"2021-09-30T09:25:01.487Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9395,"fairsharing_record_id":1947,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.528Z","updated_at":"2022-04-11T12:07:35.528Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1933","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:31:40.695Z","metadata":{"doi":"10.25504/FAIRsharing.f1dv0","name":"IUPHAR/BPS Guide to PHARMACOLOGY","status":"ready","contacts":[{"contact_name":"Jamie Davies","contact_email":"jamie.davies@ed.ac.uk"},{"contact_name":"Simon Harding","contact_email":"simon.harding@igmm.ed.ac.uk","contact_orcid":"0000-0002-9262-8318"}],"homepage":"https://www.guidetopharmacology.org","citations":[{"doi":"10.1093/nar/gkab1010","pubmed_id":34718737,"publication_id":3130}],"identifier":1933,"description":"The information in the database is presented at two levels: the initial view or landing pages for each target family provide expert-curated overviews of the key properties and selective ligands and tool compounds available. For selected targets more detailed introductory chapters for each family are available along with curated information on the pharmacological, physiological, structural, genetic and pathophysiogical properties of each target. Recent extensions to the database provide specific portals for accessing data on immunopharmacology (IUPHAR Guide to IMMUNOPHARMACOLOGY; www.guidetoimmunopharmacology.org), and on malaria pharmacology (IUPHAR/MMV Guide to MALARIA PHARMACOLOGY; www.guidetomalariapharmacology.org). The database is enhanced with hyperlinks to additional information in other databases including Ensembl, UniProt, PubChem and ChEMBL, as well as curated chemical information and literature citations in PubMed.","abbreviation":"Guide to Pharmacology","data_curation":{"url":"https://www.guidetopharmacology.org/helpPage.jsp","type":"manual","notes":"Target pages are modelled on IUPHAR-DB pages, with expert-curated information on the nomenclature, genetic, structural, pharmacological, functional, physiological, and clinical properties."},"support_links":[{"url":"https://blog.guidetopharmacology.org/","name":"guidetopharmacology blog","type":"Blog/News"},{"url":"enquiries@guidetopharmacology.org","name":"enquiries@guidetopharmacology.org","type":"Support email"},{"url":"http://www.guidetopharmacology.org/faq.jsp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.guidetopharmacology.org/pdfs/termsAndSymbols.pdf","name":"Terms and Symbols","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/nomenclature.jsp","name":"Nomenclature Guidelines","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/about.jsp","name":"About the Site","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/news.jsp","name":"Latest News","type":"Help documentation"},{"url":"http://www.guidetopharmacology.org/GuidetoPHARMACOLOGY_Tutorial.pdf","name":"Tutorial","type":"Training documentation"},{"url":"https://twitter.com/GuidetoPHARM","name":"@GuidetoPHARM","type":"Twitter"},{"url":"https://www.guidetopharmacology.org/helpPage.jsp","name":"Help Page","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013308","name":"re3data:r3d100013308","portal":"re3data"}],"data_access_condition":{"url":"https://www.guidetopharmacology.org/helpPage.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000398","bsg-d000398"],"name":"FAIRsharing record for: IUPHAR/BPS Guide to PHARMACOLOGY","abbreviation":"Guide to Pharmacology","url":"https://fairsharing.org/10.25504/FAIRsharing.f1dv0","doi":"10.25504/FAIRsharing.f1dv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The information in the database is presented at two levels: the initial view or landing pages for each target family provide expert-curated overviews of the key properties and selective ligands and tool compounds available. For selected targets more detailed introductory chapters for each family are available along with curated information on the pharmacological, physiological, structural, genetic and pathophysiogical properties of each target. Recent extensions to the database provide specific portals for accessing data on immunopharmacology (IUPHAR Guide to IMMUNOPHARMACOLOGY; www.guidetoimmunopharmacology.org), and on malaria pharmacology (IUPHAR/MMV Guide to MALARIA PHARMACOLOGY; www.guidetomalariapharmacology.org). The database is enhanced with hyperlinks to additional information in other databases including Ensembl, UniProt, PubChem and ChEMBL, as well as curated chemical information and literature citations in PubMed.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18224},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11349},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11527},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12146},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12306},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12653}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunology","Pharmacology","Life Science"],"domains":["Channel","Ligand","Malaria","Receptor","Drug interaction","Literature curation","Target"],"taxonomies":["Homo sapiens","Mus musculus","Plasmodium falciparum","Rattus"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":91,"pubmed_id":26464438,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1037","authors":"Southan C,Sharman JL,Benson HE,Faccenda E,Pawson AJ,Alexander SP,Buneman OP,Davenport AP,McGrath JC,Peters JA,Spedding M,Catterall WA,Fabbro D,Davies JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1037","created_at":"2021-09-30T08:22:30.370Z","updated_at":"2021-09-30T11:28:42.433Z"},{"id":1757,"pubmed_id":31691834,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY in 2020: extending immunopharmacology content and introducing the IUPHAR/MMV Guide to MALARIA PHARMACOLOGY.","year":2019,"url":"http://doi.org/10.1093/nar/gkz951","authors":"Armstrong JF,Faccenda E,Harding SD,Pawson AJ,Southan C,Sharman JL,Campo B,Cavanagh DR,Alexander SPH,Davenport AP,Spedding M,Davies JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz951","created_at":"2021-09-30T08:25:37.167Z","updated_at":"2021-09-30T11:29:20.035Z"},{"id":2582,"pubmed_id":24234439,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY: an expert-driven knowledgebase of drug targets and their ligands.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1143","authors":"Pawson AJ,Sharman JL,Benson HE,Faccenda E,Alexander SP,Buneman OP,Davenport AP,McGrath JC,Peters JA,Southan C,Spedding M,Yu W,Harmar AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1143","created_at":"2021-09-30T08:27:16.601Z","updated_at":"2021-09-30T11:29:39.910Z"},{"id":2853,"pubmed_id":29149325,"title":"The IUPHAR/BPS Guide to PHARMACOLOGY in 2018: updates and expansion to encompass the new guide to IMMUNOPHARMACOLOGY.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1121","authors":"Harding SD,Sharman JL,Faccenda E,Southan C,Pawson AJ,Ireland S,Gray AJG,Bruce L,Alexander SPH,Anderton S,Bryant C,Davenport AP,Doerig C,Fabbro D,Levi-Schaffer F,Spedding M,Davies JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1121","created_at":"2021-09-30T08:27:50.963Z","updated_at":"2021-09-30T11:29:47.414Z"},{"id":3130,"pubmed_id":34718737,"title":"The IUPHAR/BPS guide to PHARMACOLOGY in 2022: curating pharmacology for COVID-19, malaria and antibacterials.","year":2021,"url":"https://doi.org/10.1093/nar/gkab1010","authors":"Harding SD, Armstrong JF, Faccenda E, Southan C, Alexander SPH, Davenport AP, Pawson AJ, Spedding M, Davies JA, NC-IUPHAR.","journal":"Nucleic acids research","doi":"10.1093/nar/gkab1010","created_at":"2021-11-12T12:36:32.635Z","updated_at":"2021-11-12T12:36:32.635Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":505,"relation":"undefined"},{"licence_name":"IUPHAR/BPS Guide to PHARMACOLOGY Attribution required","licence_id":465,"licence_url":"https://www.guidetopharmacology.org/citing.jsp","link_id":504,"relation":"undefined"}],"grants":[{"id":1229,"fairsharing_record_id":1933,"organisation_id":320,"relation":"funds","created_at":"2021-09-30T09:25:00.257Z","updated_at":"2021-09-30T09:25:00.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":320,"name":"British Pharmacological Society","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1227,"fairsharing_record_id":1933,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:00.208Z","updated_at":"2021-09-30T09:29:01.302Z","grant_id":58,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"099156/Z/12/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1228,"fairsharing_record_id":1933,"organisation_id":1532,"relation":"maintains","created_at":"2021-09-30T09:25:00.232Z","updated_at":"2021-09-30T09:25:00.232Z","grant_id":null,"is_lead":true,"saved_state":{"id":1532,"name":"International Union of Basic and Clinical Pharmacology","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1934","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:05.260Z","metadata":{"doi":"10.25504/FAIRsharing.z4agsr","name":"SoyBase","status":"ready","contacts":[{"contact_name":"Jacqueline Campbell","contact_email":"Jacqueline.Campbell@usda.gov","contact_orcid":"0000-0003-2787-3955"},{"contact_name":"Rex Nelson","contact_email":"rex.nelson@usda.gov","contact_orcid":"0000-0001-6222-3347"}],"homepage":"https://soybase.org/","citations":[],"identifier":1934,"description":"SoyBase, the USDA-ARS soybean genetic database, is a comprehensive repository for professionally curated genetics, genomics and related data resources for soybean. SoyBase contains genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. The quantitative trait loci (QTL) represent more than 18 years of QTL mapping of more than 90 unique traits. SoyBase also contains the well-annotated 'Williams 82' genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. SoyBase is the repository for controlled vocabularies for soybean growth, development and trait terms, which are also linked to the more general plant ontologies.","abbreviation":"SoyBase","data_curation":{"type":"manual/automated","notes":"SoyBase Curator (soybase@soybase.org)."},"support_links":[{"url":"http://bit.ly/SoyBase-Contact-Us","name":"https://soybase.org/include/antispam.php","type":"Contact form"},{"url":"https://soybase.org/tutorials/","name":"Help and Tutorials","type":"Help documentation"},{"url":"https://twitter.com/SoyBaseDatabase","name":"Twitter","type":"Twitter"}],"year_creation":1990,"data_versioning":"yes","associated_tools":[{"url":"https://soybase.org/tools.php","name":"Tools Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010846","name":"re3data:r3d100010846","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005096","name":"SciCrunch:RRID:SCR_005096","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.soybase.org/include/data_submission.php?menu=5","type":"open","notes":"Direct data submission is actively solicited."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000399","bsg-d000399"],"name":"FAIRsharing record for: SoyBase","abbreviation":"SoyBase","url":"https://fairsharing.org/10.25504/FAIRsharing.z4agsr","doi":"10.25504/FAIRsharing.z4agsr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SoyBase, the USDA-ARS soybean genetic database, is a comprehensive repository for professionally curated genetics, genomics and related data resources for soybean. SoyBase contains genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. The quantitative trait loci (QTL) represent more than 18 years of QTL mapping of more than 90 unique traits. SoyBase also contains the well-annotated 'Williams 82' genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. SoyBase is the repository for controlled vocabularies for soybean growth, development and trait terms, which are also linked to the more general plant ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11619}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Plant Breeding","Agriculture","Life Science","Comparative Genomics"],"domains":["Computational biological predictions","Differential gene expression analysis","Deoxyribonucleic acid","Image","Phenotype","Protein","Transposable element","Single nucleotide polymorphism","Quantitative trait loci","Genome"],"taxonomies":["Glycine max","Glycine soja"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1336,"pubmed_id":20008513,"title":"SoyBase, the USDA-ARS soybean genetics and genomics database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp798","authors":"Grant D., Nelson RT., Cannon SB., Shoemaker RC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp798","created_at":"2021-09-30T08:24:49.518Z","updated_at":"2021-09-30T08:24:49.518Z"},{"id":3898,"pubmed_id":null,"title":"SoyBase: A Comprehensive Database for Soybean Genetic and Genomic Data","year":2017,"url":"http://dx.doi.org/10.1007/978-3-319-64198-0_13","authors":"Grant, David; Nelson, Rex T.; ","journal":"The Soybean Genome","doi":"10.1007/978-3-319-64198-0_13","created_at":"2023-06-13T07:37:20.656Z","updated_at":"2023-06-13T07:37:20.656Z"}],"licence_links":[{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1567,"relation":"undefined"}],"grants":[{"id":1230,"fairsharing_record_id":1934,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:00.281Z","updated_at":"2021-09-30T09:25:00.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1231,"fairsharing_record_id":1934,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:25:00.307Z","updated_at":"2021-09-30T09:25:00.307Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBKZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1dc2d865fb87c062e4dd01f6d46e4de2a6044784/SoyBase_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"1938","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:42.904Z","metadata":{"doi":"10.25504/FAIRsharing.xtq1xf","name":"TIGRFAMs","status":"ready","contacts":[{"contact_name":"Daniel H. Haft","contact_email":"haftdh@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genome/annotation_prok/tigrfams/","citations":[{"doi":"33270901","pubmed_id":33270901,"publication_id":2255}],"identifier":1938,"description":"TIGRFAMs is a collection of manually curated protein families focusing primarily on prokaryotic sequences.It consists of hidden Markov models (HMMs), multiple sequence alignments, Gene Ontology (GO) terminology, Enzyme Commission (EC) numbers, gene symbols, protein family names, descriptive text, cross-references to related models in TIGRFAMs and other databases, and pointers to literature. Originally developed at The Institute for Genomic Research (TIGR) and later at its successor, the J. Craig Venter Institute (JCVI), it is now maintained by the NCBI.","abbreviation":"TIGRFAMs","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/genome/annotation_prok/tigrfams/","type":"manual/automated"},"support_links":[{"url":"https://support.nlm.nih.gov/support/create-case/","name":"Contact Form","type":"Contact form"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/protfam/search.html","name":"Search Help","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000403","bsg-d000403"],"name":"FAIRsharing record for: TIGRFAMs","abbreviation":"TIGRFAMs","url":"https://fairsharing.org/10.25504/FAIRsharing.xtq1xf","doi":"10.25504/FAIRsharing.xtq1xf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TIGRFAMs is a collection of manually curated protein families focusing primarily on prokaryotic sequences.It consists of hidden Markov models (HMMs), multiple sequence alignments, Gene Ontology (GO) terminology, Enzyme Commission (EC) numbers, gene symbols, protein family names, descriptive text, cross-references to related models in TIGRFAMs and other databases, and pointers to literature. Originally developed at The Institute for Genomic Research (TIGR) and later at its successor, the J. Craig Venter Institute (JCVI), it is now maintained by the NCBI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Hidden Markov model","Multiple sequence alignment","Protein"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":398,"pubmed_id":23197656,"title":"TIGRFAMs and Genome Properties in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1234","authors":"Haft DH,Selengut JD,Richter RA,Harkins D,Basu MK,Beck E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1234","created_at":"2021-09-30T08:23:03.256Z","updated_at":"2021-09-30T11:28:46.317Z"},{"id":409,"pubmed_id":17151080,"title":"TIGRFAMs and Genome Properties: tools for the assignment of molecular function and biological process in prokaryotic genomes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1043","authors":"Selengut JD., Haft DH., Davidsen T., Ganapathy A., Gwinn-Giglio M., Nelson WC., Richter AR., White O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1043","created_at":"2021-09-30T08:23:04.426Z","updated_at":"2021-09-30T08:23:04.426Z"},{"id":2255,"pubmed_id":33270901,"title":"RefSeq: expanding the Prokaryotic Genome Annotation Pipeline reach with protein family model curation.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1105","authors":"Li W,O'Neill KR,Haft DH,DiCuccio M,Chetvernin V,Badretdin A,Coulouris G,Chitsaz F,Derbyshire MK,Durkin AS,Gonzales NR,Gwadz M,Lanczycki CJ,Song JS,Thanki N,Wang J,Yamashita RA,Yang M,Zheng C,Marchler-Bauer A,Thibaud-Nissen F","journal":"Nucleic Acids Research","doi":"33270901","created_at":"2021-09-30T08:26:34.213Z","updated_at":"2021-09-30T11:29:31.778Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":365,"relation":"undefined"}],"grants":[{"id":1242,"fairsharing_record_id":1938,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:00.698Z","updated_at":"2021-09-30T09:30:51.407Z","grant_id":904,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200900007C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1238,"fairsharing_record_id":1938,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:00.488Z","updated_at":"2021-09-30T09:25:00.488Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":1241,"fairsharing_record_id":1938,"organisation_id":1597,"relation":"undefined","created_at":"2021-09-30T09:25:00.656Z","updated_at":"2021-09-30T09:25:00.656Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":1240,"fairsharing_record_id":1938,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:00.615Z","updated_at":"2021-09-30T09:29:52.663Z","grant_id":447,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"R01 HG004881","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1239,"fairsharing_record_id":1938,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:00.529Z","updated_at":"2021-09-30T09:30:13.929Z","grant_id":611,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-0445826","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1237,"fairsharing_record_id":1938,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:25:00.457Z","updated_at":"2021-09-30T09:32:05.386Z","grant_id":1463,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-FG02-04ER63935","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8111,"fairsharing_record_id":1938,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:31:01.155Z","updated_at":"2021-09-30T09:31:01.278Z","grant_id":980,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN266200400038C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8428,"fairsharing_record_id":1938,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:32:35.801Z","updated_at":"2021-09-30T09:32:35.852Z","grant_id":1691,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"N01-AI30071","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1939","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T14:00:02.240Z","metadata":{"doi":"10.25504/FAIRsharing.29jzvb","name":"PSIbase","status":"deprecated","contacts":[{"contact_email":"biopark@kaist.ac.kr"}],"homepage":"http://psibase.kobic.re.kr/","citations":[],"identifier":1939,"description":"PSIbase is a molecular interaction database based on PSIMAP (PDB, SCOP) that focuses on structural interaction of proteins and their domains. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"PSIbase","data_curation":{"type":"not found"},"support_links":[{"url":"http://psibase.kobic.re.kr/index.cgi?cu","type":"Contact form"},{"url":"http://psibase.kobic.re.kr/index.cgi?h","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","associated_tools":[{"url":"http://psibase.kobic.re.kr/index.cgi?pls","name":"search"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000405","bsg-d000405"],"name":"FAIRsharing record for: PSIbase","abbreviation":"PSIbase","url":"https://fairsharing.org/10.25504/FAIRsharing.29jzvb","doi":"10.25504/FAIRsharing.29jzvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PSIbase is a molecular interaction database based on PSIMAP (PDB, SCOP) that focuses on structural interaction of proteins and their domains. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Molecular structure","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["South Korea"],"publications":[{"id":2445,"pubmed_id":15749693,"title":"PSIbase: a database of Protein Structural Interactome map (PSIMAP).","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti366","authors":"Gong S., Yoon G., Jang I., Bolser D., Dafas P., Schroeder M., Choi H., Cho Y., Han K., Lee S., Choi H., Lappe M., Holm L., Kim S., Oh D., Bhak J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti366","created_at":"2021-09-30T08:26:59.845Z","updated_at":"2021-09-30T08:26:59.845Z"}],"licence_links":[],"grants":[{"id":1243,"fairsharing_record_id":1939,"organisation_id":1645,"relation":"maintains","created_at":"2021-09-30T09:25:00.733Z","updated_at":"2021-09-30T09:25:00.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":1645,"name":"Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1940","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:59:50.202Z","metadata":{"doi":"10.25504/FAIRsharing.h5f091","name":"BeetleBase","status":"deprecated","contacts":[{"contact_email":"beetlebs@ksu.edu"}],"homepage":"http://www.beetlebase.org/","identifier":1940,"description":"BeetleBase is a community resource for Tribolium genetics, genomics and developmental biology. The database is built on the Chado generic data model, and is able to store various types of data, ranging from genome sequences to mutant phenotypes.","abbreviation":"BeetleBase","data_curation":{"type":"not found"},"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://beetlebase.org/blast/blast.html","name":"BLAST"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000406","bsg-d000406"],"name":"FAIRsharing record for: BeetleBase","abbreviation":"BeetleBase","url":"https://fairsharing.org/10.25504/FAIRsharing.h5f091","doi":"10.25504/FAIRsharing.h5f091","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BeetleBase is a community resource for Tribolium genetics, genomics and developmental biology. The database is built on the Chado generic data model, and is able to store various types of data, ranging from genome sequences to mutant phenotypes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Computational Biology","Life Science"],"domains":["Nucleic acid sequence","DNA sequence data","Protein","Genome"],"taxonomies":["Tribolium castaneum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":416,"pubmed_id":19820115,"title":"BeetleBase in 2010: revisions to provide comprehensive genomic information for Tribolium castaneum.","year":2009,"url":"http://doi.org/10.1093/nar/gkp807","authors":"Kim HS., Murphy T., Xia J., Caragea D., Park Y., Beeman RW., Lorenzen MD., Butcher S., Manak JR., Brown SJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp807","created_at":"2021-09-30T08:23:05.208Z","updated_at":"2021-09-30T08:23:05.208Z"}],"licence_links":[],"grants":[{"id":1244,"fairsharing_record_id":1940,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:00.758Z","updated_at":"2021-09-30T09:31:29.211Z","grant_id":1191,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U54 HG003272","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1246,"fairsharing_record_id":1940,"organisation_id":1622,"relation":"maintains","created_at":"2021-09-30T09:25:00.815Z","updated_at":"2021-09-30T09:25:00.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1245,"fairsharing_record_id":1940,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:00.790Z","updated_at":"2021-09-30T09:30:34.764Z","grant_id":773,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"58-5430-3-338","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1247,"fairsharing_record_id":1940,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:00.841Z","updated_at":"2021-09-30T09:32:03.222Z","grant_id":1447,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P20 RR16475","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1942","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:17.529Z","metadata":{"doi":"10.25504/FAIRsharing.vdbagq","name":"ROdent Unidentified Gene-Encoded large proteins","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"rouge@kazusa.or.jp"}],"homepage":"http://www.kazusa.or.jp/rouge/","identifier":1942,"description":"The ROUGE protein database is a sister database of HUGE protein database which has accumulated the results of comprehensive sequence analysis of human long cDNAs (KIAA cDNAs). The ROUGE protein database has been created to publicize the information obtained from mouse homologues of the KIAA cDNAs (mKIAA cDNAs).","abbreviation":"ROUGE","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://www.kazusa.or.jp/rouge/fasta/fasta.html","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000408","bsg-d000408"],"name":"FAIRsharing record for: ROdent Unidentified Gene-Encoded large proteins","abbreviation":"ROUGE","url":"https://fairsharing.org/10.25504/FAIRsharing.vdbagq","doi":"10.25504/FAIRsharing.vdbagq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ROUGE protein database is a sister database of HUGE protein database which has accumulated the results of comprehensive sequence analysis of human long cDNAs (KIAA cDNAs). The ROUGE protein database has been created to publicize the information obtained from mouse homologues of the KIAA cDNAs (mKIAA cDNAs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Protein"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":403,"pubmed_id":14681467,"title":"HUGE: a database for human KIAA proteins, a 2004 update integrating HUGEppi and ROUGE.","year":2003,"url":"http://doi.org/10.1093/nar/gkh035","authors":"Kikuno R., Nagase T., Nakayama M., Koga H., Okazaki N., Nakajima D., Ohara O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh035","created_at":"2021-09-30T08:23:03.791Z","updated_at":"2021-09-30T08:23:03.791Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":668,"relation":"undefined"}],"grants":[{"id":1249,"fairsharing_record_id":1942,"organisation_id":1628,"relation":"maintains","created_at":"2021-09-30T09:25:00.891Z","updated_at":"2021-09-30T09:25:00.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":1628,"name":"Kazusa DNA Research Institute, Chiba, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1250,"fairsharing_record_id":1942,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:25:00.915Z","updated_at":"2021-09-30T09:25:00.915Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1935","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:46.766Z","metadata":{"doi":"10.25504/FAIRsharing.g2fjt2","name":"European Mouse Mutant Archive","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@infrafrontier.eu"}],"homepage":"https://www.infrafrontier.eu","citations":[{"doi":"10.1093/nar/gkp799","pubmed_id":19783817,"publication_id":2833}],"identifier":1935,"description":"The European Mouse Mutant Archive (EMMA) is a non-profit repository for the collection, archiving (via cryopreservation) and distribution of relevant mutant strains essential for basic biomedical research. The laboratory mouse is the most important mammalian model for studying genetic and multi-factorial diseases in man. Thus the work of EMMA will play a crucial role in exploiting the tremendous potential benefits to human health presented by the current research in mammalian genetics.","abbreviation":"EMMA","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.infrafrontier.eu/contact/","name":"INFRAFRONTIER/EMMA contact form","type":"Contact form"},{"url":"info@infrafrontier.eu","name":"General Enquiries","type":"Support email"},{"url":"https://www.infrafrontier.eu/emma/legal-questions/","name":"EMMA repository conditions and MTAs","type":"Help documentation"},{"url":"https://www.infrafrontier.eu/training-events/","name":"INFRAFRONTIER training and consulting services","type":"Training documentation"},{"url":"https://twitter.com/infrafrontierEU","name":"INFRAFRONTIER Twitter","type":"Twitter"},{"url":"https://www.infrafrontier.eu/emma/cryopreservation/#FAQs","name":"EMMA Cryopreservation FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.infrafrontier.eu/emma/strain-distribution/#FAQs","name":"EMMA Strain Distribution FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2009,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013578","name":"re3data:r3d100013578","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006136","name":"SciCrunch:RRID:SCR_006136","portal":"SciCrunch"}],"data_access_condition":{"url":"https://infrafrontier.eu/wp-content/uploads/EMMA-conditions-out_2021.pdf","type":"partially open","notes":"EMMA conditions for obtaining a strain from EMMA"},"resource_sustainability":{"url":"https://infrafrontier.eu/about-us/infrafrontier-partners/","name":"INFRAFRONTIER Partners"},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://infrafrontier.eu/wp-content/uploads/EMMA-conditions-in_2021.pdf","type":"controlled","notes":"EMMA conditions for depositing a strain at EMMA"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000400","bsg-d000400"],"name":"FAIRsharing record for: European Mouse Mutant Archive","abbreviation":"EMMA","url":"https://fairsharing.org/10.25504/FAIRsharing.g2fjt2","doi":"10.25504/FAIRsharing.g2fjt2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Mouse Mutant Archive (EMMA) is a non-profit repository for the collection, archiving (via cryopreservation) and distribution of relevant mutant strains essential for basic biomedical research. The laboratory mouse is the most important mammalian model for studying genetic and multi-factorial diseases in man. Thus the work of EMMA will play a crucial role in exploiting the tremendous potential benefits to human health presented by the current research in mammalian genetics.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12307},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12654},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13796},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14186}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Virology","Computational Biology","Life Science"],"domains":["Protein structure","Nucleic acid sequence","Model organism","Somatic mutation","Mutation analysis","Mutation","Gene knockout","Rare disease","Phenotype","Disease phenotype","CRISPR","Point mutation","Genetic disorder"],"taxonomies":["Mus musculus","Rattus norvegicus"],"user_defined_tags":["COVID-19","Mutants"],"countries":["European Union"],"publications":[{"id":2617,"pubmed_id":17709347,"title":"EMMA--the European mouse mutant archive.","year":2007,"url":"http://doi.org/10.1093/bfgp/elm018","authors":"Hagn M,Marschall S,Hrabe de Angelis M","journal":"Brief Funct Genomic Proteomic","doi":"10.1093/bfgp/elm018","created_at":"2021-09-30T08:27:21.255Z","updated_at":"2021-09-30T08:27:21.255Z"},{"id":2833,"pubmed_id":19783817,"title":"EMMA--mouse mutant resources for the international scientific community.","year":2009,"url":"http://doi.org/10.1093/nar/gkp799","authors":"Wilkinson P,Sengerova J,Matteoni R,Chen CK,Soulat G,Ureta-Vidal A,Fessele S,Hagn M,Massimi M,Pickford K,Butler RH,Marschall S,Mallon AM,Pickard A,Raspa M,Scavizzi F,Fray M,Larrigaldie V,Leyritz J,Birney E,Tocchini-Valentini GP,Brown S,Herault Y,Montoliu L,de Angelis MH,Smedley D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp799","created_at":"2021-09-30T08:27:48.503Z","updated_at":"2021-09-30T11:29:46.862Z"},{"id":3186,"pubmed_id":null,"title":"INFRAFRONTIER: a European resource for studying the functional basis of human disease","year":2016,"url":"http://dx.doi.org/10.1007/s00335-016-9642-y","authors":"Raess, Michael; undefined, undefined; de Castro, Ana Ambrosio; Gailus-Durner, Valérie; Fessele, Sabine; Hrabě de Angelis, Martin; ","journal":"Mamm Genome","doi":"10.1007/s00335-016-9642-y","created_at":"2022-01-17T17:57:41.494Z","updated_at":"2022-01-17T17:57:41.494Z"},{"id":3187,"pubmed_id":null,"title":"INFRAFRONTIER--providing mutant mouse resources as research tools for the international scientific community","year":2014,"url":"http://dx.doi.org/10.1093/nar/gku1193","authors":"undefined, undefined; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1193","created_at":"2022-01-17T17:58:01.850Z","updated_at":"2022-01-17T17:58:01.850Z"},{"id":3677,"pubmed_id":34328547,"title":"INFRAFRONTIER quality principles in systemic phenotyping","year":2022,"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8913563/","authors":"Hilke Ehlich, Heather L Cater, Ann M Flenniken, Isabelle Goncalves Da Cruz, Anne-Marie Mura, Vasileios Ntafis, Michael Raess, Mohammed Selloum, Claudia Stoeger, Sarka Suchanova, Reetta Vuolteenaho, Steve D M Brown, Yann Hérault, Reetta Hinttala, Martin Hrabě de Angelis, George Kollias, Dimitris L Kontoyiannis, Bernard Malissen, Colin McKerlie, Radislav Sedláček, Sara E Wells, Ana Zarubica, Jan Rozman, Tania Sorg","journal":"Mammalian Genome","doi":"","created_at":"2022-11-07T09:11:18.923Z","updated_at":"2022-11-07T09:11:18.923Z"}],"licence_links":[{"licence_name":"EMMA repository conditions","licence_id":274,"licence_url":"https://www.infrafrontier.eu/procedures/legal-issues/emma-repository-conditions-and-mtas","link_id":675,"relation":"undefined"}],"grants":[{"id":1232,"fairsharing_record_id":1935,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:00.331Z","updated_at":"2021-09-30T09:25:00.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1233,"fairsharing_record_id":1935,"organisation_id":1347,"relation":"maintains","created_at":"2021-09-30T09:25:00.357Z","updated_at":"2021-09-30T09:25:00.357Z","grant_id":null,"is_lead":true,"saved_state":{"id":1347,"name":"Infrafrontier Research Infrastructure, Infrafrontier","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":1234,"fairsharing_record_id":1935,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:00.381Z","updated_at":"2021-09-30T09:25:00.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8727,"fairsharing_record_id":1935,"organisation_id":873,"relation":"funds","created_at":"2022-01-17T17:56:50.975Z","updated_at":"2022-01-17T17:56:50.975Z","grant_id":536,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","grant":"H2020-INFRAEOSC-2018-2 824087","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":10115,"fairsharing_record_id":1935,"organisation_id":834,"relation":"undefined","created_at":"2022-11-07T09:17:59.242Z","updated_at":"2022-11-07T09:17:59.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":834,"name":"European Joint Programme on Rare Diseases","types":["Undefined"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBSZz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--716d8cec860b9845fdbc70c51bae8b55c8877ef4/emma_logo_slogan_4c_rgb.png?disposition=inline","exhaustive_licences":false}},{"id":"1937","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:59:50.050Z","metadata":{"doi":"10.25504/FAIRsharing.eyjkws","name":"Microbial Protein Interaction Database","status":"deprecated","contacts":[{"contact_name":"Johannes Goll","contact_email":"jgoll@jcvi.org"}],"homepage":"http://www.jcvi.org/mpidb/about.php","identifier":1937,"description":"The microbial protein interaction database (MPIDB) provides physical microbial interaction data. The interactions are manually curated from the literature or imported from other databases, and are linked to supporting experimental evidence, as well as evidences based on interaction conservation, protein complex membership, and 3D domain contacts. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"MPIDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.jcvi.org/mpidb/contact.php","type":"Contact form"},{"url":"http://www.jcvi.org/mpidb/help.php","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000402","bsg-d000402"],"name":"FAIRsharing record for: Microbial Protein Interaction Database","abbreviation":"MPIDB","url":"https://fairsharing.org/10.25504/FAIRsharing.eyjkws","doi":"10.25504/FAIRsharing.eyjkws","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The microbial protein interaction database (MPIDB) provides physical microbial interaction data. The interactions are manually curated from the literature or imported from other databases, and are linked to supporting experimental evidence, as well as evidences based on interaction conservation, protein complex membership, and 3D domain contacts. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Small molecule","Curated information","Protein"],"taxonomies":["Bacteria","Fungi"],"user_defined_tags":["Physical interaction"],"countries":["United States"],"publications":[{"id":402,"pubmed_id":18556668,"title":"MPIDB: the microbial protein interaction database.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn285","authors":"Goll J., Rajagopala SV., Shiau SC., Wu H., Lamb BT., Uetz P.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn285","created_at":"2021-09-30T08:23:03.691Z","updated_at":"2021-09-30T08:23:03.691Z"}],"licence_links":[],"grants":[{"id":1236,"fairsharing_record_id":1937,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:25:00.431Z","updated_at":"2021-09-30T09:25:00.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1943","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:20:23.318Z","metadata":{"doi":"10.25504/FAIRsharing.mphj4z","name":"Yeast Searching for Transcriptional Regulators and Consensus Tracking","status":"ready","contacts":[{"contact_name":"Isabel Sá-Correia","contact_email":"isacorreia@tecnico.ulisboa.pt"},{"contact_name":"General Contact","contact_email":"contact@yeastract.com","contact_orcid":null}],"homepage":"http://www.yeastract.com","citations":[],"identifier":1943,"description":"YEASTRACT (Yeast Search for Transcriptional Regulators And Consensus Tracking) is a curated repository of more than 48333 regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae, based on more than 1200 bibliographic references.","abbreviation":"YEASTRACT","data_curation":{"url":"http://yeastract-plus.org/termsusage.php","type":"manual"},"support_links":[{"url":"http://www.yeastract.com/contactus.php","type":"Contact form"},{"url":"http://www.yeastract.com/help/","type":"Help documentation"},{"url":"http://www.yeastract.com/tutorial.php","type":"Training documentation"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://www.yeastract.com/formorftogene.php","name":"Transform an ORF List into a Gene List"},{"url":"http://www.yeastract.com/iupacgeneration.php","name":"IUPAC Code Generation for DNA Sequences"},{"url":"http://www.yeastract.com/formgenerateregulationmatrix.php","name":"Generate Regulation Matrix"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.yeastract.com/datasubmission.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000409","bsg-d000409"],"name":"FAIRsharing record for: Yeast Searching for Transcriptional Regulators and Consensus Tracking","abbreviation":"YEASTRACT","url":"https://fairsharing.org/10.25504/FAIRsharing.mphj4z","doi":"10.25504/FAIRsharing.mphj4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: YEASTRACT (Yeast Search for Transcriptional Regulators And Consensus Tracking) is a curated repository of more than 48333 regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae, based on more than 1200 bibliographic references.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genetics","Biology"],"domains":["Deoxyribonucleic acid","Regulation of gene expression","Biological regulation","Small molecule","Transcription factor","Transcript","Gene"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Portugal"],"publications":[{"id":1392,"pubmed_id":24170807,"title":"The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1015","authors":"Teixeira MC,Monteiro PT,Guerreiro JF,Goncalves JP,Mira NP,dos Santos SC,Cabrito TR,Palma M,Costa C,Francisco AP,Madeira SC,Oliveira AL,Freitas AT,Sa-Correia I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1015","created_at":"2021-09-30T08:24:55.584Z","updated_at":"2021-09-30T11:29:07.668Z"},{"id":1446,"pubmed_id":16381908,"title":"The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae.","year":2005,"url":"http://doi.org/10.1093/nar/gkj013","authors":"Teixeira MC,Monteiro P,Jain P,Tenreiro S,Fernandes AR,Mira NP,Alenquer M,Freitas AT,Oliveira AL,Sa-Correia I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj013","created_at":"2021-09-30T08:25:01.650Z","updated_at":"2021-09-30T11:29:08.426Z"},{"id":3033,"pubmed_id":20972212,"title":"YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interface.","year":2010,"url":"http://doi.org/10.1093/nar/gkq964","authors":"Abdulrehman D., Monteiro PT., Teixeira MC., Mira NP., Lourenço AB., dos Santos SC., Cabrito TR., Francisco AP., Madeira SC., Aires RS., Oliveira AL., Sá-Correia I., Freitas AT.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq964","created_at":"2021-09-30T08:28:13.783Z","updated_at":"2021-09-30T08:28:13.783Z"},{"id":3055,"pubmed_id":18032429,"title":"YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae.","year":2007,"url":"http://doi.org/10.1093/nar/gkm976","authors":"Monteiro PT,Mendes ND,Teixeira MC,d'Orey S,Tenreiro S,Mira NP,Pais H,Francisco AP,Carvalho AM,Lourenco AB,Sa-Correia I,Oliveira AL,Freitas AT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm976","created_at":"2021-09-30T08:28:16.446Z","updated_at":"2021-09-30T11:29:50.403Z"}],"licence_links":[{"licence_name":"YEASTRACT Attribution required","licence_id":879,"licence_url":"http://www.yeastract.com/cite.php","link_id":2307,"relation":"undefined"}],"grants":[{"id":1253,"fairsharing_record_id":1943,"organisation_id":1642,"relation":"maintains","created_at":"2021-09-30T09:25:00.991Z","updated_at":"2021-09-30T09:25:00.991Z","grant_id":null,"is_lead":false,"saved_state":{"id":1642,"name":"Knowledge Discovery \u0026 Bioinformatics Research Group, Instituto Superior Tecnico, Lisbon, Portugal","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":8042,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:30:36.637Z","updated_at":"2021-09-30T09:30:36.693Z","grant_id":789,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"Pest-OE/EQB/LA0023/2011_research line","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1252,"fairsharing_record_id":1943,"organisation_id":260,"relation":"maintains","created_at":"2021-09-30T09:25:00.965Z","updated_at":"2021-09-30T09:25:00.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":260,"name":"Biological Sciences Research Group, Instituto Superior Tcnico, Lisbon, Portugal","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1251,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:25:00.941Z","updated_at":"2021-09-30T09:29:57.759Z","grant_id":488,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"PTDC/EIA/67722/2006","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8084,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:30:50.255Z","updated_at":"2021-09-30T09:30:50.305Z","grant_id":894,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"PTDC/EIA/71587/2006","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8196,"fairsharing_record_id":1943,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:31:27.347Z","updated_at":"2021-09-30T09:31:27.404Z","grant_id":1176,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","grant":"PTDC/BIO/72063/2006","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1944","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:54.625Z","metadata":{"doi":"10.25504/FAIRsharing.drcy7r","name":"NeuroMorpho.Org","status":"ready","contacts":[{"contact_name":"NeuroMorpho Admin","contact_email":"nmadmin@gmu.edu"}],"homepage":"http://neuromorpho.org/","citations":[{"doi":"10.1038/nrn1885","pubmed_id":16552417,"publication_id":423}],"identifier":1944,"description":"NeuroMorpho.Org is a centrally curated inventory of 3D digitally reconstructed neurons associated with peer-reviewed publications. The goal of NeuroMorpho.Org is to provide dense coverage of available reconstruction data for the neuroscience community.","abbreviation":"NeuroMorpho.Org","data_curation":{"url":"https://neuromorpho.org/myfaq.jsp","type":"manual"},"support_links":[{"url":"http://neuromorpho.org/myfaq.jsp","name":"NeuroMorpho FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://neuromorpho.org/main_help.jsp","name":"Quick Start","type":"Help documentation"},{"url":"https://twitter.com/NeuroMorphoOrg","name":"@NeuroMorphoOrg","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010107","name":"re3data:r3d100010107","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002145","name":"SciCrunch:RRID:SCR_002145","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://neuromorpho.org/data_submission_guide.jsp","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000410","bsg-d000410"],"name":"FAIRsharing record for: NeuroMorpho.Org","abbreviation":"NeuroMorpho.Org","url":"https://fairsharing.org/10.25504/FAIRsharing.drcy7r","doi":"10.25504/FAIRsharing.drcy7r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NeuroMorpho.Org is a centrally curated inventory of 3D digitally reconstructed neurons associated with peer-reviewed publications. The goal of NeuroMorpho.Org is to provide dense coverage of available reconstruction data for the neuroscience community.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10769},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10945},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11062}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Computational Neuroscience","Neuroscience"],"domains":["Molecular structure","Neuron","Cell morphology","Structure"],"taxonomies":["Metazoa"],"user_defined_tags":["Digital reconstruction","Metadata standardization"],"countries":["United States"],"publications":[{"id":423,"pubmed_id":16552417,"title":"Mobilizing the base of neuroscience data: the case of neuronal morphologies.","year":2006,"url":"http://doi.org/10.1038/nrn1885","authors":"Ascoli GA.","journal":"Nat. Rev. Neurosci.","doi":"10.1038/nrn1885","created_at":"2021-09-30T08:23:05.974Z","updated_at":"2021-09-30T08:23:05.974Z"},{"id":663,"pubmed_id":22536169,"title":"Digital reconstructions of neuronal morphology: three decades of research trends","year":2012,"url":"http://doi.org/10.3389/fnins.2012.00049","authors":"Halavi M, Hamilton KA, Parekh R, Ascoli GA.","journal":"Frontiers in Neuroscience","doi":"10.3389/fnins.2012.00049","created_at":"2021-09-30T08:23:33.186Z","updated_at":"2021-09-30T08:23:33.186Z"},{"id":699,"pubmed_id":25653123,"title":"The importance of metadata to assess information content in digital reconstructions of neuronal morphology.","year":2015,"url":"http://doi.org/10.1007/s00441-014-2103-6","authors":"Parekh R., Armananzas R., Ascoli GA.","journal":"Cell and Tissue Research","doi":"10.1007/s00441-014-2103-6","created_at":"2021-09-30T08:23:37.077Z","updated_at":"2021-09-30T08:23:37.077Z"},{"id":700,"pubmed_id":24972604,"title":"Quantitative investigations of axonal and dendritic arbors: development, structure, function, and pathology","year":2014,"url":"http://doi.org/10.1177/1073858414540216","authors":"Parekh R, Ascoli GA","journal":"Neuroscientist","doi":"10.1177/1073858414540216","created_at":"2021-09-30T08:23:37.186Z","updated_at":"2021-09-30T08:23:37.186Z"},{"id":705,"pubmed_id":23522039,"title":"Neuronal morphology goes digital: A research hub for cellular and system neuroscience.","year":2013,"url":"http://doi.org/10.1016/j.neuron.2013.03.008","authors":"Parekh R, Ascoli GA","journal":"Neuron","doi":"10.1016/j.neuron.2013.03.008","created_at":"2021-09-30T08:23:37.695Z","updated_at":"2021-09-30T08:23:37.695Z"},{"id":707,"pubmed_id":25576225,"title":"Doubling up on the Fly: NeuroMorpho.Org Meets Big Data","year":2015,"url":"http://doi.org/10.1007/s12021-014-9257-y","authors":"Nanda S, Allaham MM, Bergamino M, Polavaram S, Armañanzas R, Ascoli GA, Parekh R.","journal":"Neuroinformatics","doi":"10.1007/s12021-014-9257-y","created_at":"2021-09-30T08:23:37.936Z","updated_at":"2021-09-30T08:23:37.936Z"},{"id":1167,"pubmed_id":18949582,"title":"NeuroMorpho.Org implementation of digital neuroscience: dense coverage and integration with the NIF.","year":2008,"url":"http://doi.org/10.1007/s12021-008-9030-1","authors":"Halavi M,Polavaram S,Donohue DE,Hamilton G,Hoyt J,Smith KP,Ascoli GA","journal":"Neuroinformatics","doi":"10.1007/s12021-008-9030-1","created_at":"2021-09-30T08:24:29.708Z","updated_at":"2021-09-30T08:24:29.708Z"}],"licence_links":[{"licence_name":"NeuroMorpho Terms of Use","licence_id":572,"licence_url":"http://neuromorpho.org/useterm.jsp","link_id":2376,"relation":"undefined"}],"grants":[{"id":1254,"fairsharing_record_id":1944,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:01.015Z","updated_at":"2021-09-30T09:30:05.013Z","grant_id":543,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 NS39600","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1255,"fairsharing_record_id":1944,"organisation_id":1128,"relation":"maintains","created_at":"2021-09-30T09:25:01.041Z","updated_at":"2021-09-30T09:25:01.041Z","grant_id":null,"is_lead":true,"saved_state":{"id":1128,"name":"George Mason University, Fairfax, VA, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1256,"fairsharing_record_id":1944,"organisation_id":1648,"relation":"maintains","created_at":"2021-09-30T09:25:01.065Z","updated_at":"2021-09-30T09:25:01.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1648,"name":"Krasnow Institute for Advanced Study, Fairfax, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1258,"fairsharing_record_id":1944,"organisation_id":2806,"relation":"maintains","created_at":"2021-09-30T09:25:01.116Z","updated_at":"2021-09-30T09:25:01.116Z","grant_id":null,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1260,"fairsharing_record_id":1944,"organisation_id":2229,"relation":"funds","created_at":"2021-09-30T09:25:01.176Z","updated_at":"2021-09-30T09:29:26.786Z","grant_id":254,"is_lead":false,"saved_state":{"id":2229,"name":"Office of Naval Research (ONR), Arlington, VA, USA","grant":"ONR MURI N00014-10-1-0198","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1257,"fairsharing_record_id":1944,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:01.092Z","updated_at":"2021-09-30T09:32:41.997Z","grant_id":1738,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF DBI 1546335 (BRAIN EAGER)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1259,"fairsharing_record_id":1944,"organisation_id":2806,"relation":"funds","created_at":"2021-09-30T09:25:01.143Z","updated_at":"2021-09-30T09:30:57.833Z","grant_id":955,"is_lead":false,"saved_state":{"id":2806,"name":"The National Academies of Sciences, Engineering, and Medicine","grant":"Keck NAKFI","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8332,"fairsharing_record_id":1944,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:08.391Z","updated_at":"2021-09-30T09:32:08.441Z","grant_id":1486,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01 NS086082","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1953","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:46:22.948Z","metadata":{"doi":"10.25504/FAIRsharing.xxtmjs","name":"Melanoma Molecular Map Project","status":"deprecated","contacts":[{"contact_name":"Simone Mocellin","contact_email":"simone.mocellin@unipd.it","contact_orcid":"0000-0002-9433-8445"}],"homepage":"http://www.mmmp.org/MMMP/","citations":[],"identifier":1953,"description":"A collection of molecular interaction maps and pathways involved in cancer development and progression with a focus on melanoma.","abbreviation":"MMMP","data_curation":{"type":"not found"},"support_links":[{"url":"mmmpteam@mmmp.org","type":"Support email"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010276","name":"re3data:r3d100010276","portal":"re3data"}],"deprecation_date":"2022-03-14","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000419","bsg-d000419"],"name":"FAIRsharing record for: Melanoma Molecular Map Project","abbreviation":"MMMP","url":"https://fairsharing.org/10.25504/FAIRsharing.xxtmjs","doi":"10.25504/FAIRsharing.xxtmjs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A collection of molecular interaction maps and pathways involved in cancer development and progression with a focus on melanoma.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Molecular entity","Cancer","Molecular interaction","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":437,"pubmed_id":18477889,"title":"The melanoma molecular map project.","year":2008,"url":"http://doi.org/10.1097/CMR.0b013e328300c50b","authors":"Mocellin S., Rossi CR.,","journal":"Melanoma Res.","doi":"10.1097/CMR.0b013e328300c50b","created_at":"2021-09-30T08:23:07.483Z","updated_at":"2021-09-30T08:23:07.483Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2191,"relation":"undefined"}],"grants":[{"id":1283,"fairsharing_record_id":1953,"organisation_id":1469,"relation":"funds","created_at":"2021-09-30T09:25:01.882Z","updated_at":"2021-09-30T09:25:01.882Z","grant_id":null,"is_lead":false,"saved_state":{"id":1469,"name":"Intergruppo Melanoma Italiano (IMI), Genova, Italy","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1282,"fairsharing_record_id":1953,"organisation_id":2325,"relation":"funds","created_at":"2021-09-30T09:25:01.865Z","updated_at":"2021-09-30T09:25:01.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":2325,"name":"Piccoli Punti, Italia","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1954","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-20T15:33:43.971Z","metadata":{"doi":"10.25504/FAIRsharing.5y3gdd","name":"Pathway Commons","status":"ready","contacts":[{"contact_name":"Gary Bader","contact_email":"pathway-commons-help@googlegroups.com"}],"homepage":"http://www.pathwaycommons.org","citations":[],"identifier":1954,"description":"Pathway Commons is a convenient point of access to biological pathway information collected from public pathway databases. Information is sourced from public pathway databases and is readily searched, visualized, and downloaded. The data is freely available under the license terms of each contributing database.","abbreviation":"PC","data_curation":{"url":"http://www.pathwaycommons.org/","type":"manual/automated","notes":"Data is automatically and manually checked at every release."},"support_links":[{"url":"http://www.pathwaycommons.org/#faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/forum/#!forum/pathway-commons-help","type":"Forum"},{"url":"pathway-commons-help@googlegroups.com","type":"Mailing list"},{"url":"https://twitter.com/PathwayCommons","type":"Twitter"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://apps.cytoscape.org/apps/cypath2","name":"CyPathwayCommons 2"},{"url":"http://www.sanderlab.org/pcviz/","name":"PCViz"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012731","name":"re3data:r3d100012731","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002103","name":"SciCrunch:RRID:SCR_002103","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.pathwaycommons.org/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000420","bsg-d000420"],"name":"FAIRsharing record for: Pathway Commons","abbreviation":"PC","url":"https://fairsharing.org/10.25504/FAIRsharing.5y3gdd","doi":"10.25504/FAIRsharing.5y3gdd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pathway Commons is a convenient point of access to biological pathway information collected from public pathway databases. Information is sourced from public pathway databases and is readily searched, visualized, and downloaded. The data is freely available under the license terms of each contributing database.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11064},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12246}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Computational Biology","Life Science","Systems Biology"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":51,"pubmed_id":21071392,"title":"Pathway Commons, a web resource for biological pathway data.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1039","authors":"Cerami EG., Gross BE., Demir E., Rodchenkov I., Babur O., Anwar N., Schultz N., Bader GD., Sander C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1039","created_at":"2021-09-30T08:22:25.855Z","updated_at":"2021-09-30T08:22:25.855Z"}],"licence_links":[],"grants":[{"id":1289,"fairsharing_record_id":1954,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:01.982Z","updated_at":"2021-09-30T09:31:47.559Z","grant_id":1328,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"P41HG004118","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8416,"fairsharing_record_id":1954,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:32:32.610Z","updated_at":"2021-09-30T09:32:32.668Z","grant_id":1667,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"2R01GM070743-06","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8924,"fairsharing_record_id":1954,"organisation_id":578,"relation":"maintains","created_at":"2022-03-08T15:49:16.703Z","updated_at":"2022-03-08T15:49:16.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":578,"name":"Computational Biology Center, Memorial Sloan-Kettering Cancer Center","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1285,"fairsharing_record_id":1954,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:01.915Z","updated_at":"2021-09-30T09:31:46.926Z","grant_id":1323,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","grant":"1T32 GM083937","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1288,"fairsharing_record_id":1954,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:25:01.965Z","updated_at":"2021-09-30T09:25:01.965Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11499,"fairsharing_record_id":1954,"organisation_id":159,"relation":"maintains","created_at":"2024-03-20T15:27:44.787Z","updated_at":"2024-03-20T15:27:44.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":159,"name":"Bader Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1949","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:08.083Z","metadata":{"doi":"10.25504/FAIRsharing.fhcmwq","name":"The Global Proteome Machine Database","status":"ready","contacts":[{"contact_email":"contact@thegpm.org"}],"homepage":"https://www.thegpm.org/GPMDB/index.html","citations":[{"doi":"10.1021/pr049882h","pubmed_id":15595733,"publication_id":1266}],"identifier":1949,"description":"The Global Proteome Machine Database (gpmDB holds the minimum amount of information necessary for common bioinformatics-related tasks (such as sequence assignment validation) rather than being a complete record of a proteomics experiment. It was also created to aid in the process of validating peptide MS/MS spectra as well as protein coverage patterns. Most of the data is held in a set of XML files: the database serves as an index to those files, allowing for rapid lookups and reduced database storage requirements.","abbreviation":"gpmDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.thegpm.org/","name":"gpmDB Blog","type":"Blog/News"},{"url":"https://www.thegpm.org/GPMDB/gpmdb_faq.html","name":"gpmDB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wiki.thegpm.org/wiki/Main_Page","name":"gpmDB Wiki","type":"Help documentation"},{"url":"https://www.thegpm.org/GPMDB/url_conventions.html","name":"gpmDB URL Conventions","type":"Help documentation"},{"url":"https://twitter.com/GPMDB","name":"@GPMDB","type":"Twitter"}],"year_creation":2003,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010883","name":"re3data:r3d100010883","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006617","name":"SciCrunch:RRID:SCR_006617","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.thegpm.org/GPMDB/tutorials.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000415","bsg-d000415"],"name":"FAIRsharing record for: The Global Proteome Machine Database","abbreviation":"gpmDB","url":"https://fairsharing.org/10.25504/FAIRsharing.fhcmwq","doi":"10.25504/FAIRsharing.fhcmwq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Global Proteome Machine Database (gpmDB holds the minimum amount of information necessary for common bioinformatics-related tasks (such as sequence assignment validation) rather than being a complete record of a proteomics experiment. It was also created to aid in the process of validating peptide MS/MS spectra as well as protein coverage patterns. Most of the data is held in a set of XML files: the database serves as an index to those files, allowing for rapid lookups and reduced database storage requirements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Proteomics"],"domains":["Mass spectrum","Proteome","Molecular interaction","Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1266,"pubmed_id":15595733,"title":"Open source system for analyzing, validating, and storing protein identification data.","year":2004,"url":"http://doi.org/10.1021/pr049882h","authors":"Craig R,Cortens JP,Beavis RC","journal":"J Proteome Res","doi":"10.1021/pr049882h","created_at":"2021-09-30T08:24:41.275Z","updated_at":"2021-09-30T08:24:41.275Z"}],"licence_links":[],"grants":[{"id":1271,"fairsharing_record_id":1949,"organisation_id":1750,"relation":"maintains","created_at":"2021-09-30T09:25:01.560Z","updated_at":"2021-09-30T09:25:01.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1750,"name":"Manitoba Centre for Proteomics and Systems Biology (MCPSB), Winnipeg, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1950","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-13T09:28:42.545Z","metadata":{"doi":"10.25504/FAIRsharing.nhmd3w","name":"DragonDB","status":"deprecated","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"markw@illuminae.com"}],"homepage":"http://www.antirrhinum.net","citations":[],"identifier":1950,"description":"The NEW Antirrhinum majus (Snapdragon) genetic and genomic database","abbreviation":"DragonDB","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://www.antirrhinum.net/blast/blast.html","name":"BLAST"}],"deprecation_date":"2021-06-24","deprecation_reason":"The website is no longer available","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000416","bsg-d000416"],"name":"FAIRsharing record for: DragonDB","abbreviation":"DragonDB","url":"https://fairsharing.org/10.25504/FAIRsharing.nhmd3w","doi":"10.25504/FAIRsharing.nhmd3w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NEW Antirrhinum majus (Snapdragon) genetic and genomic database","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Deoxyribonucleic acid","Protein","Genome"],"taxonomies":["Antirrhinum majus"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[],"grants":[{"id":1272,"fairsharing_record_id":1950,"organisation_id":3024,"relation":"maintains","created_at":"2021-09-30T09:25:01.598Z","updated_at":"2021-09-30T09:25:01.598Z","grant_id":null,"is_lead":false,"saved_state":{"id":3024,"name":"University of British Columbia, Vancouver, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1273,"fairsharing_record_id":1950,"organisation_id":1303,"relation":"maintains","created_at":"2021-09-30T09:25:01.639Z","updated_at":"2021-09-30T09:25:01.639Z","grant_id":null,"is_lead":false,"saved_state":{"id":1303,"name":"IBM, New York, NY, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1274,"fairsharing_record_id":1950,"organisation_id":1788,"relation":"undefined","created_at":"2021-09-30T09:25:01.682Z","updated_at":"2021-09-30T09:25:01.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":1788,"name":"Max Planck Institute for Plant Breeding Research, Cologne, Germany","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1948","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:05.045Z","metadata":{"doi":"10.25504/FAIRsharing.aq280w","name":"Maize Genetics and Genomics Database","status":"ready","contacts":[{"contact_name":"Carson Andorf","contact_email":"carson.andorf@ars.usda.gov"}],"homepage":"https://www.maizegdb.org","citations":[{"doi":"10.1093/nar/gky1046","pubmed_id":30407532,"publication_id":2975}],"identifier":1948,"description":"MaizeGDB is the maize research community's central repository for genetics and genomics information.","abbreviation":"MaizeGDB","data_curation":{"url":"https://www.maizegdb.org/contribute_data","type":"manual/automated","notes":"Both curator from MaizeGDB's primary team and community curators insure the data quality."},"support_links":[{"url":"https://maizegdb.org/contact","type":"Contact form"},{"url":"http://www.maizegdb.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://outreach.maizegdb.org","type":"Training documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"https://blast.maizegdb.org","name":"BLAST"},{"url":"https://corncyc-b73-v4.maizegdb.org","name":"CornCyc"},{"url":"https://www.maizegdb.org/snpversity","name":"SNPversity"},{"url":"https://maizegdb.org/gbrowse","name":"Genome browser - GBrowse"},{"url":"https://qteller.maizegdb.org/","name":"qTeller"},{"url":"https://jbrowse.maizegdb.org","name":"Genome Browser - JBrowse"},{"url":"https://maizegdb.org/breeders_toolbox","name":"Pedigree Viewer"},{"url":"https://genomeqc.maizegdb.org","name":"GenomeQC"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010795","name":"re3data:r3d100010795","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006600","name":"SciCrunch:RRID:SCR_006600","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.maizegdb.org/contribute_data","type":"controlled","notes":"Submited data/metadata must meet several criteria including being FAIR and published."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000414","bsg-d000414"],"name":"FAIRsharing record for: Maize Genetics and Genomics Database","abbreviation":"MaizeGDB","url":"https://fairsharing.org/10.25504/FAIRsharing.aq280w","doi":"10.25504/FAIRsharing.aq280w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MaizeGDB is the maize research community's central repository for genetics and genomics information.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11620},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16718}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Life Science"],"domains":["Cytogenetic map","Expression data","Deoxyribonucleic acid","Genetic polymorphism","Phenotype","Pathway model","Genome","Germplasm"],"taxonomies":["Zea mays"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1411,"pubmed_id":18769488,"title":"MaizeGDB: The maize model organism database for basic, translational, and applied research.","year":2008,"url":"http://doi.org/10.1155/2008/496957","authors":"Lawrence CJ., Harper LC., Schaeffer ML., Sen TZ., Seigfried TE., Campbell DA.,","journal":"Int J Plant Genomics","doi":"10.1155/2008/496957","created_at":"2021-09-30T08:24:57.719Z","updated_at":"2021-09-30T08:24:57.719Z"},{"id":2924,"pubmed_id":26519406,"title":"MaizeGDB: The Maize Genetics and Genomics Database","year":2015,"url":"http://doi.org/10.1007/978-1-4939-3167-5_9","authors":"Harper L, Gardiner J, Andorf C, Lawrence CJ.","journal":"Methods Mol Biol.","doi":"10.1007/978-1-4939-3167-5_9","created_at":"2021-09-30T08:28:00.114Z","updated_at":"2021-09-30T08:28:00.114Z"},{"id":2925,"pubmed_id":26432828,"title":"MaizeGDB update: new tools, data and interface for the maize model organism database","year":2015,"url":"http://doi.org/10.1093/nar/gkv1007","authors":"Andorf CM, Cannon EK, Portwood JL 2nd, Gardiner JM, Harper LC, Schaeffer ML, Braun BL, Campbell DA, Vinnakota AG, Sribalusu VV, Huerta M, Cho KT, Wimalanathan K, Richter JD, Mauch ED, Rao BS, Birkett SM, Sen TZ, Lawrence-Dill CJ.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1007","created_at":"2021-09-30T08:28:00.230Z","updated_at":"2021-09-30T11:29:49.105Z"},{"id":2926,"pubmed_id":31555312,"title":"MaizeDIG: Maize Database of Images and Genomes.","year":2019,"url":"http://doi.org/10.3389/fpls.2019.01050","authors":"Cho KT, Portwood JL 2nd, Gardiner JM, Harper LC, Lawrence-Dill CJ, Friedberg I, Andorf CM","journal":"Frontiers in Plant Science","doi":"10.3389/fpls.2019.01050","created_at":"2021-09-30T08:28:00.347Z","updated_at":"2021-09-30T08:28:00.347Z"},{"id":2975,"pubmed_id":30407532,"title":"MaizeGDB 2018: the maize multi-genome genetics and genomics database","year":2018,"url":"http://doi.org/10.1093/nar/gky1046","authors":"Portwood JL II, Woodhouse MR, Cannon EK, Gardiner JM, Harper LC, Schaeffer ML, Walsh JR, Sen TZ, Cho KT, Schott DA, Braun BL, Dietze M, Dunfee B, Elsik CG, Manchanda N, Coe E, Sachs M, Stinard P, Tolbert J, Zimmerman S, Andorf CM.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1046","created_at":"2021-09-30T08:28:06.583Z","updated_at":"2021-09-30T08:28:06.583Z"}],"licence_links":[{"licence_name":"MaizeGDB Attribution required","licence_id":501,"licence_url":"https://www.maizegdb.org/cite","link_id":519,"relation":"undefined"}],"grants":[{"id":1270,"fairsharing_record_id":1948,"organisation_id":1746,"relation":"maintains","created_at":"2021-09-30T09:25:01.529Z","updated_at":"2021-09-30T09:25:01.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":1746,"name":"Maize Genetics and Genomoics Database (MaizeGDB) Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1962","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-21T09:58:26.058Z","metadata":{"doi":"10.25504/FAIRsharing.cwn40y","name":"Sequence-Structural Templates of Single-member Superfamilies","status":"deprecated","contacts":[{"contact_name":"Ramanathan Sowdhamini","contact_email":"mini@ncbs.res.in"}],"homepage":"http://caps.ncbs.res.in/SSTOSS/index.htm","citations":[],"identifier":1962,"description":"SSToSS is a database which provides sequence-structural templates of single member protein domain superfamilies like PASS2. Sequence-structural templates are recognized by considering the content and overlap of sequence similarity and structural parameters like, solvent inaccessibility, secondary structural content, hydrogen bonding and spatial packing of the residues among the protein of single member superfamilies.","abbreviation":"SSToSS","data_curation":{"type":"not found"},"support_links":[{"url":"http://caps.ncbs.res.in/SSTOSS/info.htm","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2023-09-21","deprecation_reason":"The homepage is no longer valid, and a new homepage cannot be found. Please let us know if you have any additional information.","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000428","bsg-d000428"],"name":"FAIRsharing record for: Sequence-Structural Templates of Single-member Superfamilies","abbreviation":"SSToSS","url":"https://fairsharing.org/10.25504/FAIRsharing.cwn40y","doi":"10.25504/FAIRsharing.cwn40y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SSToSS is a database which provides sequence-structural templates of single member protein domain superfamilies like PASS2. Sequence-structural templates are recognized by considering the content and overlap of sequence similarity and structural parameters like, solvent inaccessibility, secondary structural content, hydrogen bonding and spatial packing of the residues among the protein of single member superfamilies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12659}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Protein structure","Protein domain","Secondary protein structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":298,"pubmed_id":16922694,"title":"SSToSS--sequence-structural templates of single-member superfamilies.","year":2006,"url":"https://www.ncbi.nlm.nih.gov/pubmed/16922694","authors":"Chakrabarti S,Manohari G,Pugalenthi G,Sowdhamini R","journal":"In Silico Biol","doi":null,"created_at":"2021-09-30T08:22:52.116Z","updated_at":"2021-09-30T08:22:52.116Z"}],"licence_links":[],"grants":[{"id":1306,"fairsharing_record_id":1962,"organisation_id":1958,"relation":"maintains","created_at":"2021-09-30T09:25:02.266Z","updated_at":"2021-09-30T09:25:02.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":1958,"name":"National Center for Biological Sciences (NCBS), Bangalore, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1963","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:08.072Z","metadata":{"doi":"10.25504/FAIRsharing.vwmc9h","name":"AceView genes","status":"ready","contacts":[{"contact_email":"mieg@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/IEB/Research/Acembly/","citations":[],"identifier":1963,"description":"AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes.","abbreviation":"AceView","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/IEB/Research/Acembly/","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2000,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010651","name":"re3data:r3d100010651","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002277","name":"SciCrunch:RRID:SCR_002277","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/IEB/Research/Acembly/HelpQuery.html","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000429","bsg-d000429"],"name":"FAIRsharing record for: AceView genes","abbreviation":"AceView","url":"https://fairsharing.org/10.25504/FAIRsharing.vwmc9h","doi":"10.25504/FAIRsharing.vwmc9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Genetic polymorphism","Messenger RNA","Gene","Complementary DNA"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3923,"pubmed_id":null,"title":"AceView: a comprehensive cDNA-supported gene and transcripts annotation","year":2006,"url":"http://dx.doi.org/10.1186/gb-2006-7-s1-s12","authors":"Thierry-Mieg, Danielle; Thierry-Mieg, Jean; ","journal":"Genome Biol","doi":"10.1186/gb-2006-7-s1-s12","created_at":"2023-06-19T06:53:03.750Z","updated_at":"2023-06-19T06:53:03.750Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1916,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1904,"relation":"undefined"}],"grants":[{"id":1307,"fairsharing_record_id":1963,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.283Z","updated_at":"2021-09-30T09:25:02.283Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1964","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:50:20.386Z","metadata":{"doi":"10.25504/FAIRsharing.w2eeqr","name":"NCBI BioSystems Database","status":"deprecated","contacts":[{"contact_name":"General information","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/biosystems/","citations":[],"identifier":1964,"description":"The NCBI BioSystems database centralizes and cross-links existing biological systems databases, increasing their utility and target audience by integrating their pathways and systems into NCBI resources. The resource provides categorical information on genes, proteins and small molecules of biosystems.","abbreviation":"BioSystems","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/Structure/biosystems/docs/biosystems_faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/biosystems/docs/biosystems_help.html","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/Structure/flink/flink.cgi","name":"FLink"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011033","name":"re3data:r3d100011033","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004690","name":"SciCrunch:RRID:SCR_004690","portal":"SciCrunch"}],"deprecation_date":"2022-03-14","deprecation_reason":"NCBI now provides metabolic pathway and other biosystems data through the regularly updated PubChem Pathways resource. Please see https://ncbiinsights.ncbi.nlm.nih.gov/2021/08/10/retire-biosystems-database/ for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000430","bsg-d000430"],"name":"FAIRsharing record for: NCBI BioSystems Database","abbreviation":"BioSystems","url":"https://fairsharing.org/10.25504/FAIRsharing.w2eeqr","doi":"10.25504/FAIRsharing.w2eeqr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCBI BioSystems database centralizes and cross-links existing biological systems databases, increasing their utility and target audience by integrating their pathways and systems into NCBI resources. The resource provides categorical information on genes, proteins and small molecules of biosystems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology","Systems Biology"],"domains":["Molecular entity","Small molecule","Protein","Pathway model","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":448,"pubmed_id":19854944,"title":"The NCBI BioSystems database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp858","authors":"Geer LY., Marchler-Bauer A., Geer RC., Han L., He J., He S., Liu C., Shi W., Bryant SH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp858","created_at":"2021-09-30T08:23:08.644Z","updated_at":"2021-09-30T08:23:08.644Z"}],"licence_links":[{"licence_name":"BioSystems Attribution required","licence_id":82,"licence_url":"https://www.ncbi.nlm.nih.gov/Structure/biosystems/docs/biosystems_publications.html","link_id":1756,"relation":"undefined"},{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1760,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1754,"relation":"undefined"}],"grants":[{"id":1309,"fairsharing_record_id":1964,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.325Z","updated_at":"2021-09-30T09:25:02.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1308,"fairsharing_record_id":1964,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.299Z","updated_at":"2021-09-30T09:25:02.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1965","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:40.217Z","metadata":{"doi":"10.25504/FAIRsharing.2cyh1h","name":"NCBI Cancer Chromosome Database","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=cancerchromosomes","identifier":1965,"description":"Three databases, the NCI/NCBI SKY/M-FISH \u0026 CGH Database, the NCI Mitelman Database of Chromosome Aberrations in Cancer, and the NCI Recurrent Aberrations in Cancer , are now integrated into NCBI's Entrez system as Cancer Chromosomes.","abbreviation":"Cancer Chromosomes","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2016-12-21","deprecation_reason":"Due to budgetary constraints, the National Center for Biotechnology Information (NCBI) has discontinued the Cancer Chromosomes database and it has been removed from the Entrez System.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000431","bsg-d000431"],"name":"FAIRsharing record for: NCBI Cancer Chromosome Database","abbreviation":"Cancer Chromosomes","url":"https://fairsharing.org/10.25504/FAIRsharing.2cyh1h","doi":"10.25504/FAIRsharing.2cyh1h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Three databases, the NCI/NCBI SKY/M-FISH \u0026 CGH Database, the NCI Mitelman Database of Chromosome Aberrations in Cancer, and the NCI Recurrent Aberrations in Cancer , are now integrated into NCBI's Entrez system as Cancer Chromosomes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Deoxyribonucleic acid","Cancer","Chromosomal aberration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":954,"relation":"undefined"}],"grants":[{"id":1311,"fairsharing_record_id":1965,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.357Z","updated_at":"2021-09-30T09:25:02.357Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1310,"fairsharing_record_id":1965,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.341Z","updated_at":"2021-09-30T09:25:02.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1966","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:36.496Z","metadata":{"doi":"10.25504/FAIRsharing.46s4nt","name":"The Consensus CDS","status":"ready","contacts":[{"contact_name":"Kim D. Pruitt","contact_email":"Pruitt@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/CCDS/","identifier":1966,"description":"The Consensus CDS (CCDS) project is a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated and of high quality. The long term goal is to support convergence towards a standard set of gene annotations.","abbreviation":"CCDS","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/projects/CCDS/CcdsBrowse.cgi#process","type":"manual"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/projects/CCDS/UserRequest/UserRequest.cgi","type":"Contact form"},{"url":"info@ncbi.nlm.nih.gov","type":"Support email"}],"year_creation":2005,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000432","bsg-d000432"],"name":"FAIRsharing record for: The Consensus CDS","abbreviation":"CCDS","url":"https://fairsharing.org/10.25504/FAIRsharing.46s4nt","doi":"10.25504/FAIRsharing.46s4nt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Consensus CDS (CCDS) project is a collaborative effort to identify a core set of human and mouse protein coding regions that are consistently annotated and of high quality. The long term goal is to support convergence towards a standard set of gene annotations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1930,"pubmed_id":19498102,"title":"The consensus coding sequence (CCDS) project: Identifying a common protein-coding gene set for the human and mouse genomes.","year":2009,"url":"http://doi.org/10.1101/gr.080531.108","authors":"Pruitt KD. et al.","journal":"Genome Res.","doi":"10.1101/gr.080531.108","created_at":"2021-09-30T08:25:57.214Z","updated_at":"2021-09-30T08:25:57.214Z"}],"licence_links":[{"licence_name":"CCDS Attribution required","licence_id":107,"licence_url":"https://www.ncbi.nlm.nih.gov/projects/CCDS/CcdsBrowse.cgi","link_id":1635,"relation":"undefined"},{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1637,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1636,"relation":"undefined"}],"grants":[{"id":1315,"fairsharing_record_id":1966,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:02.424Z","updated_at":"2021-09-30T09:25:02.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1312,"fairsharing_record_id":1966,"organisation_id":1273,"relation":"maintains","created_at":"2021-09-30T09:25:02.374Z","updated_at":"2021-09-30T09:25:02.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":1273,"name":"HUGO Gene Nomenclature Committee (HGNC), Hinxton, Cambridgeshire, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1313,"fairsharing_record_id":1966,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:02.391Z","updated_at":"2021-09-30T09:25:02.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1316,"fairsharing_record_id":1966,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.441Z","updated_at":"2021-09-30T09:25:02.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1317,"fairsharing_record_id":1966,"organisation_id":3037,"relation":"maintains","created_at":"2021-09-30T09:25:02.457Z","updated_at":"2021-09-30T09:25:02.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1318,"fairsharing_record_id":1966,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:02.474Z","updated_at":"2021-09-30T09:32:51.497Z","grant_id":1808,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"1U54HG004555-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1314,"fairsharing_record_id":1966,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:25:02.406Z","updated_at":"2021-09-30T09:28:59.125Z","grant_id":42,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"WT062023","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8162,"fairsharing_record_id":1966,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:31:16.456Z","updated_at":"2021-09-30T09:31:16.509Z","grant_id":1097,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"WT077198","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9222,"fairsharing_record_id":1966,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.469Z","updated_at":"2022-04-11T12:07:23.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1977","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:43.883Z","metadata":{"doi":"10.25504/FAIRsharing.mzc066","name":"NCBI HomoloGene Database","status":"ready","contacts":[{"contact_name":"General information","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/homologene","citations":[],"identifier":1977,"description":"HomoloGene is an automated system for the detection of homologs among the annotated genes of several completely sequenced eukaryotic genomes. HomoloGene takes protein sequences from differing species and compares them to one another (using blastp) and matches are placed into groups, using a tree built from sequence similarity to guide the process, where closer related organisms are matched up first, and then further organisms are added as the tree is traversed toward the root. The protein alignments are mapped back to their corresponding DNA sequences, where distance metrics can be calculated (e.g. molecular distance, Ka/Ks ratio). Sequences are matched using synteny when applicable. Remaining sequences are matched up by using an algorithm for maximizing the score globally, rather than locally, in a bipartite matching. Cutoffs on bits per position and Ks values are set to prevent unlikely \"orthologs\" from being grouped together. These cutoffs are calculated based on the respective score distribution for the given groups of organisms. Paralogs are identified by finding sequences that are closer within species than other species.","abbreviation":"HomoloGene","data_curation":{"type":"automated"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/homologene/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/HomoloGene/HTML/homologene_querytips.html","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010781","name":"re3data:r3d100010781","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002924","name":"SciCrunch:RRID:SCR_002924","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000443","bsg-d000443"],"name":"FAIRsharing record for: NCBI HomoloGene Database","abbreviation":"HomoloGene","url":"https://fairsharing.org/10.25504/FAIRsharing.mzc066","doi":"10.25504/FAIRsharing.mzc066","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HomoloGene is an automated system for the detection of homologs among the annotated genes of several completely sequenced eukaryotic genomes. HomoloGene takes protein sequences from differing species and compares them to one another (using blastp) and matches are placed into groups, using a tree built from sequence similarity to guide the process, where closer related organisms are matched up first, and then further organisms are added as the tree is traversed toward the root. The protein alignments are mapped back to their corresponding DNA sequences, where distance metrics can be calculated (e.g. molecular distance, Ka/Ks ratio). Sequences are matched using synteny when applicable. Remaining sequences are matched up by using an algorithm for maximizing the score globally, rather than locally, in a bipartite matching. Cutoffs on bits per position and Ks values are set to prevent unlikely \"orthologs\" from being grouped together. These cutoffs are calculated based on the respective score distribution for the given groups of organisms. Paralogs are identified by finding sequences that are closer within species than other species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12665}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Annotation","Genome annotation","Gene","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2200,"pubmed_id":21097890,"title":"Database resources of the National Center for Biotechnology Information.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1172","authors":"Sayers EW., Barrett T., Benson DA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1172","created_at":"2021-09-30T08:26:27.948Z","updated_at":"2021-09-30T08:26:27.948Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1042,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1061,"relation":"undefined"}],"grants":[{"id":1339,"fairsharing_record_id":1977,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.166Z","updated_at":"2021-09-30T09:25:03.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1340,"fairsharing_record_id":1977,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.204Z","updated_at":"2021-09-30T09:25:03.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1955","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T15:58:29.439Z","metadata":{"doi":"10.25504/FAIRsharing.fcwyhz","name":"Mouse Genome Database - a Mouse Genome Informatics (MGI) Resource","status":"ready","contacts":[{"contact_name":"MGI User Support","contact_email":"mgi-help@jax.org"}],"homepage":"http://www.informatics.jax.org/","citations":[],"identifier":1955,"description":"MGI is the international database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data to facilitate the study of human health and disease. Data includes gene characterization, nomenclature, mapping, gene homologies among mammals, sequence links, phenotypes, allelic variants and mutants, and strain data.","abbreviation":"MGI","data_curation":{"url":"https://www.informatics.jax.org/mgihome/homepages/help.shtml","type":"manual"},"support_links":[{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","type":"Contact form"},{"url":"http://www.informatics.jax.org/mgihome/lists/lists.shtml","type":"Mailing list"},{"url":"http://www.informatics.jax.org/mgihome/other/homepage_usingMGI.shtml","name":"How to Use MGI","type":"Help documentation"},{"url":"https://twitter.com/mgi_mouse","name":"@mgi_mouse","type":"Twitter"},{"url":"https://www.youtube.com/channel/UCT7XJlwD9uvQrwi0h3w3a-Q","name":"Youtube channel","type":"Video"},{"url":"http://www.informatics.jax.org/faq/FAQ.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.informatics.jax.org/mgihome/homepages/help.shtml","type":"Help documentation"},{"url":"http://www.informatics.jax.org/mgihome/news/whatsnew.shtml","type":"Blog/News"}],"year_creation":1994,"data_versioning":"no","associated_tools":[{"url":"http://www.mousemine.org/mousemine/begin.do","name":"MouseMine"},{"url":"http://www.informatics.jax.org/batch","name":"Batch Query"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010266","name":"re3data:r3d100010266","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006460","name":"SciCrunch:RRID:SCR_006460","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.informatics.jax.org/submit.shtml","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000421","bsg-d000421"],"name":"FAIRsharing record for: Mouse Genome Database - a Mouse Genome Informatics (MGI) Resource","abbreviation":"MGI","url":"https://fairsharing.org/10.25504/FAIRsharing.fcwyhz","doi":"10.25504/FAIRsharing.fcwyhz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MGI is the international database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data to facilitate the study of human health and disease. Data includes gene characterization, nomenclature, mapping, gene homologies among mammals, sequence links, phenotypes, allelic variants and mutants, and strain data.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10771},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10947},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11065},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12308},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12658},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16196}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Animal Genetics","Genomics","Biology"],"domains":["Cytogenetic map","Genome map","Gene name","Expression data","Gene Ontology enrichment","Disease process modeling","Mutation","Genetic polymorphism","Phenotype","Disease","Sequence","Single nucleotide polymorphism","Gene","Quantitative trait loci","Homologous","Allele"],"taxonomies":["Mus musculus"],"user_defined_tags":["Chromosomal element nomenclature","COVID-19"],"countries":["United States"],"publications":[{"id":698,"pubmed_id":24285300,"title":"The Mouse Genome Database: integration of and access to knowledge about the laboratory mouse.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1225","authors":"Blake JA, Bult CJ, Eppig JT, Kadin JA, Richardson JE; The Mouse Genome Database Group","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1225","created_at":"2021-09-30T08:23:36.975Z","updated_at":"2021-09-30T11:28:49.050Z"},{"id":716,"pubmed_id":23175610,"title":"The Mouse Genome Database: Genotypes, Phenotypes, and Models of Human Disease","year":2012,"url":"http://doi.org/10.1093/nar/gks1115","authors":"Bult CJ, Eppig JT, Blake JA, Kadin JA, Richardson JE; the Mouse Genome Database Group","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1115","created_at":"2021-09-30T08:23:38.919Z","updated_at":"2021-09-30T08:23:38.919Z"},{"id":931,"pubmed_id":27933520,"title":"Mouse Genome Informatics (MGI): Resources for Mining Mouse Genetic, Genomic, and Biological Data in Support of Primary and Translational Research.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6427-7_3","authors":"Eppig JT, Smith CL, Blake JA, Ringwald M, Kadin JA, Richardson JE, Bult CJ.","journal":"Methods Mol Biol.","doi":"10.1007/978-1-4939-6427-7_3","created_at":"2021-09-30T08:24:02.970Z","updated_at":"2021-09-30T08:24:02.970Z"},{"id":1009,"pubmed_id":28838066,"title":"Mouse Genome Informatics (MGI) Resource: Genetic, Genomic, and Biological Knowledgebase for the Laboratory Mouse.","year":2017,"url":"http://doi.org/10.1093/ilar/ilx013","authors":"Eppig JT","journal":"ILAR J.","doi":"10.1093/ilar/ilx013","created_at":"2021-09-30T08:24:11.721Z","updated_at":"2021-09-30T08:24:11.721Z"},{"id":1042,"pubmed_id":22075990,"title":"The Mouse Genome Database (MGD): comprehensive resource for genetics and genomics of the laboratory mouse","year":2011,"url":"http://doi.org/10.1093/nar/gkr974","authors":"Eppig JT, Blake JA, Bult CJ, Kadin JA, Richardson JE; the Mouse Genome Database Group","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr974","created_at":"2021-09-30T08:24:15.372Z","updated_at":"2021-09-30T08:24:15.372Z"},{"id":1058,"pubmed_id":27899570,"title":"Mouse Genome Database (MGD)-2017: community knowledge resource for the laboratory mouse.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1040","authors":"Blake JA, Eppig JT, Kadin JA, Richardson JE, Smith CL, Bult CJ, and the Mouse Genome Database Group.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkw1040","created_at":"2021-09-30T08:24:17.174Z","updated_at":"2021-09-30T08:24:17.174Z"},{"id":1210,"pubmed_id":8091224,"title":"A database for mouse development.","year":1994,"url":"http://doi.org/10.1126/science.8091224","authors":"Ringwald M,Baldock R,Bard J,Kaufman M,Eppig JT,Richardson JE,Nadeau JH,Davidson D","journal":"Science","doi":"10.1126/science.8091224","created_at":"2021-09-30T08:24:34.858Z","updated_at":"2021-09-30T08:24:34.858Z"},{"id":1493,"pubmed_id":15608240,"title":"The Mouse Genome Database (MGD): from genes to mice--a community resource for mouse biology.","year":2004,"url":"http://doi.org/10.1093/nar/gki113","authors":"Eppig JT. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki113","created_at":"2021-09-30T08:25:07.193Z","updated_at":"2021-09-30T08:25:07.193Z"},{"id":2140,"pubmed_id":30335138,"title":"The mouse Gene Expression Database (GXD): 2019 update.","year":2018,"url":"http://doi.org/10.1093/nar/gky922","authors":"Smith CM,Hayamizu TF,Finger JH,Bello SM,McCright IJ,Xu J,Baldarelli RM,Beal JS,Campbell J,Corbani LE,Frost PJ,Lewis JR,Giannatto SC,Miers D,Shaw DR,Kadin JA,Richardson JE,Smith CL,Ringwald M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky922","created_at":"2021-09-30T08:26:21.256Z","updated_at":"2021-09-30T11:29:29.994Z"},{"id":3273,"pubmed_id":30407599,"title":"Mouse Genome Database (MGD) 2019.","year":2019,"url":"https://doi.org/10.1093/nar/gky1056","authors":"Bult CJ, Blake JA, Smith CL, Kadin JA, Richardson JE, Mouse Genome Database Group.","journal":"Nucleic acids research","doi":"10.1093/nar/gky1056","created_at":"2022-03-25T14:51:29.719Z","updated_at":"2022-03-25T14:51:29.719Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3196,"relation":"applies_to_content"},{"licence_name":"MGI Warranty Disclaimer and Copyright Notice","licence_id":511,"licence_url":"http://www.informatics.jax.org/mgihome/other/copyright.shtml","link_id":605,"relation":"applies_to_content"}],"grants":[{"id":1291,"fairsharing_record_id":1955,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:02.015Z","updated_at":"2021-09-30T09:32:06.042Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1290,"fairsharing_record_id":1955,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:01.999Z","updated_at":"2021-09-30T09:25:01.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"1956","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:46.838Z","metadata":{"doi":"10.25504/FAIRsharing.2srshy","name":"REFOLDdb","status":"ready","contacts":[{"contact_name":"General Contact - NIG","contact_email":"webmaster@nig.ac.jp"}],"homepage":"https://pford.info/refolddb/","citations":[],"identifier":1956,"description":"REFOLDdb is a resource for the optimization of protein refolding, referring to published methods employed in the refolding of recombinant proteins. It stores a collection of published experimental approaches and records for refolding proteins. It contains data converted from the original REFOLD database that had been created and updated until 2009 by Monash University in Australia, as well as data retrieved from articles on refold technologies published since 2009.","abbreviation":"REFOLDdb","data_curation":{"url":"https://pford.info/refolddb/about.cgi?lang=EN","type":"manual"},"support_links":[{"url":"https://pford.info/refolddb/help.cgi?lang=EN","name":"Help Pages","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://pford.info/refolddb/search.cgi?lang=EN","name":"Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010553","name":"re3data:r3d100010553","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007889","name":"SciCrunch:RRID:SCR_007889","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000422","bsg-d000422"],"name":"FAIRsharing record for: REFOLDdb","abbreviation":"REFOLDdb","url":"https://fairsharing.org/10.25504/FAIRsharing.2srshy","doi":"10.25504/FAIRsharing.2srshy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REFOLDdb is a resource for the optimization of protein refolding, referring to published methods employed in the refolding of recombinant proteins. It stores a collection of published experimental approaches and records for refolding proteins. It contains data converted from the original REFOLD database that had been created and updated until 2009 by Monash University in Australia, as well as data retrieved from articles on refold technologies published since 2009.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Molecular structure","Protein folding","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Japan"],"publications":[{"id":427,"pubmed_id":16381847,"title":"The REFOLD database: a tool for the optimization of protein expression and refolding.","year":2005,"url":"http://doi.org/10.1093/nar/gkj080","authors":"Chow MK., Amin AA., Fulton KF., Fernando T., Kamau L., Batty C., Louca M., Ho S., Whisstock JC., Bottomley SP., Buckle AM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj080","created_at":"2021-09-30T08:23:06.441Z","updated_at":"2021-09-30T08:23:06.441Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1700,"relation":"undefined"}],"grants":[{"id":1292,"fairsharing_record_id":1956,"organisation_id":2019,"relation":"maintains","created_at":"2021-09-30T09:25:02.032Z","updated_at":"2021-09-30T09:25:02.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1293,"fairsharing_record_id":1956,"organisation_id":1892,"relation":"maintains","created_at":"2021-09-30T09:25:02.049Z","updated_at":"2021-09-30T09:25:02.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1892,"name":"Monash University, Melbourne, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1957","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-10T09:32:54.269Z","metadata":{"doi":"10.25504/FAIRsharing.wjzty","name":"Structural Classification Of Proteins","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"scop2@mrc-lmb.cam.ac.uk"}],"homepage":"https://www.ebi.ac.uk/pdbe/scop","citations":[],"identifier":1957,"description":"The SCOP database aims to provide a detailed and comprehensive description of the structural and evolutionary relationships between proteins whose three-dimensional structure is known and deposited in the Protein Data Bank.","abbreviation":"SCOP","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ebi.ac.uk/pdbe/scop/about","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/scop","name":"Scop","type":"TeSS links to training materials"}],"year_creation":1994,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000423","bsg-d000423"],"name":"FAIRsharing record for: Structural Classification Of Proteins","abbreviation":"SCOP","url":"https://fairsharing.org/10.25504/FAIRsharing.wjzty","doi":"10.25504/FAIRsharing.wjzty","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SCOP database aims to provide a detailed and comprehensive description of the structural and evolutionary relationships between proteins whose three-dimensional structure is known and deposited in the Protein Data Bank.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":436,"pubmed_id":9016544,"title":"SCOP: a structural classification of proteins database.","year":1997,"url":"http://doi.org/10.1093/nar/25.1.236","authors":"Hubbard TJ., Murzin AG., Brenner SE., Chothia C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/25.1.236","created_at":"2021-09-30T08:23:07.383Z","updated_at":"2021-09-30T08:23:07.383Z"},{"id":440,"pubmed_id":9847194,"title":"SCOP: a Structural Classification of Proteins database.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.254","authors":"Hubbard TJ., Ailey B., Brenner SE., Murzin AG., Chothia C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/27.1.254","created_at":"2021-09-30T08:23:07.783Z","updated_at":"2021-09-30T08:23:07.783Z"},{"id":452,"pubmed_id":10089491,"title":"SCOP, Structural Classification of Proteins database: applications to evaluation of the effectiveness of sequence alignment methods and statistics of protein structural data.","year":1999,"url":"http://doi.org/10.1107/s0907444998009172","authors":"Hubbard TJ., Ailey B., Brenner SE., Murzin AG., Chothia C.,","journal":"Acta Crystallogr. D Biol. Crystallogr.","doi":"10.1107/s0907444998009172","created_at":"2021-09-30T08:23:09.067Z","updated_at":"2021-09-30T08:23:09.067Z"},{"id":1622,"pubmed_id":10592240,"title":"SCOP: a structural classification of proteins database.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.257","authors":"Lo Conte L., Ailey B., Hubbard TJ., Brenner SE., Murzin AG., Chothia C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.257","created_at":"2021-09-30T08:25:21.769Z","updated_at":"2021-09-30T08:25:21.769Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3651,"relation":"undefined"}],"grants":[{"id":1295,"fairsharing_record_id":1957,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:02.082Z","updated_at":"2021-09-30T09:25:02.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1294,"fairsharing_record_id":1957,"organisation_id":1904,"relation":"maintains","created_at":"2021-09-30T09:25:02.065Z","updated_at":"2021-09-30T09:25:02.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1904,"name":"MRC Laboratory of Molecular Biology (LMB), Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1296,"fairsharing_record_id":1957,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.099Z","updated_at":"2021-09-30T09:25:02.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbkFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a73ab0bd167ea1cddb9a506a0b8a3461acbaa4ac/scop_logo.358e74fa.png?disposition=inline","exhaustive_licences":false}},{"id":"1958","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:27:40.419Z","metadata":{"doi":"10.25504/FAIRsharing.831m3y","name":"Comprehensive Yeast Genome Database","status":"deprecated","contacts":[{"contact_email":"mips-fungi-adm@mips.gsf.de"}],"homepage":"http://mips.gsf.de/genre/proj/yeast/index.jsp","identifier":1958,"description":"A major part of this information gets extracted by manual annotation from the yeast literature, and results of the systematic functional analysis projects as well as cross-references to other in-house or external databases (NCBI, PIR, PEDANT, EMBL) provide complementary material. In addition information and links to related ascomycetous species are added as far as genomic information is available. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"CYGD","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://mips.helmholtz-muenchen.de/genre/proj/yeast/Search/pedantSearch.html","name":"advanced search"},{"url":"http://mips.helmholtz-muenchen.de/genre/proj/yeast/Search/Gise/index.html","name":"browse"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000424","bsg-d000424"],"name":"FAIRsharing record for: Comprehensive Yeast Genome Database","abbreviation":"CYGD","url":"https://fairsharing.org/10.25504/FAIRsharing.831m3y","doi":"10.25504/FAIRsharing.831m3y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A major part of this information gets extracted by manual annotation from the yeast literature, and results of the systematic functional analysis projects as well as cross-references to other in-house or external databases (NCBI, PIR, PEDANT, EMBL) provide complementary material. In addition information and links to related ascomycetous species are added as far as genomic information is available. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":438,"pubmed_id":15608217,"title":"CYGD: the Comprehensive Yeast Genome Database.","year":2004,"url":"http://doi.org/10.1093/nar/gki053","authors":"Güldener U., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki053","created_at":"2021-09-30T08:23:07.585Z","updated_at":"2021-09-30T08:23:07.585Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1065,"relation":"undefined"}],"grants":[{"id":1297,"fairsharing_record_id":1958,"organisation_id":1918,"relation":"maintains","created_at":"2021-09-30T09:25:02.115Z","updated_at":"2021-09-30T09:25:02.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":1918,"name":"Munich Information Center for Protein Sequences (MIPS), Munich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1978","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:21.327Z","metadata":{"doi":"10.25504/FAIRsharing.g7t2hv","name":"Sequence Read Archive","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"sra@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/sra","citations":[],"identifier":1978,"description":"The SRA is NIH's primary archive of high-throughput sequencing data and is part of the International Nucleotide Sequence Database Collaboration (INSDC) that includes at the NCBI Sequence Read Archive (SRA), the European Bioinformatics Institute (EBI), and the DNA Database of Japan (DDBJ). Data submitted to any of the three organizations are shared among them. SRA accepts data from all kinds of sequencing projects including clinically important studies that involve human subjects or their metagenomes, which may contain human sequences. These data often have a controlled access via dbGaP (the database of Genotypes and Phenotypes).","abbreviation":"SRA","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitupdate/","type":"manual/automated"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/books/NBK47528/","name":"SRA Handbook","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/Traces/sra","name":"Overview","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/Traces/sra_sub/sub.cgi","name":"SRA Submissions Tracking and Management","type":"Training documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-cloud/","name":"SRA in the Cloud","type":"Other"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sradownload","name":"Download SRA Sequences","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-data-formats/","name":"SRA Data Formats","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitformats/","name":"Data Format Guide","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitmeta/","name":"SRA Metadata Submissions","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/submitquestions/","name":"SRA FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2007,"data_versioning":"no","associated_tools":[{"url":"https://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?view=software","name":"NCBI SRA Toolkit"},{"url":"https://github.com/ncbi/sra-tools/wiki/","name":"SRA Toolkit"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-taxonomy-analysis-tool/","name":"SRA Taxonomy Analysis Tool (STAT)"},{"url":"https://www.ncbi.nlm.nih.gov/sra/docs/sra-aws-download/#the-sra-toolkit-in-aws","name":"SRA AWS Toolkit"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010775","name":"re3data:r3d100010775","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004891","name":"SciCrunch:RRID:SCR_004891","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://submit.ncbi.nlm.nih.gov/subs/sra/","type":"open","notes":"free login required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000444","bsg-d000444"],"name":"FAIRsharing record for: Sequence Read Archive","abbreviation":"SRA","url":"https://fairsharing.org/10.25504/FAIRsharing.g7t2hv","doi":"10.25504/FAIRsharing.g7t2hv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SRA is NIH's primary archive of high-throughput sequencing data and is part of the International Nucleotide Sequence Database Collaboration (INSDC) that includes at the NCBI Sequence Read Archive (SRA), the European Bioinformatics Institute (EBI), and the DNA Database of Japan (DDBJ). Data submitted to any of the three organizations are shared among them. SRA accepts data from all kinds of sequencing projects including clinically important studies that involve human subjects or their metagenomes, which may contain human sequences. These data often have a controlled access via dbGaP (the database of Genotypes and Phenotypes).","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17567},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10775},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10951},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11068},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11871},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12310},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12666}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Virology","Biology","Epidemiology"],"domains":["Nucleic acid sequence alignment","DNA sequence data","Nucleotide","Sequence alignment","Sequence","Gene","Allele"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":757,"pubmed_id":18045790,"title":"Database resources of the National Center for Biotechnology Information","year":2007,"url":"http://doi.org/10.1093/nar/gkm1000","authors":"Wheeler DL, et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm1000","created_at":"2021-09-30T08:23:43.345Z","updated_at":"2021-09-30T08:23:43.345Z"},{"id":2260,"pubmed_id":22009675,"title":"The Sequence Read Archive: explosive growth of sequencing data.","year":2011,"url":"http://doi.org/10.1093/nar/gkr854","authors":"Kodama Y., Shumway M., Leinonen R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr854","created_at":"2021-09-30T08:26:34.948Z","updated_at":"2021-09-30T08:26:34.948Z"},{"id":2285,"pubmed_id":25960871,"title":"Investigation into the annotation of protocol sequencing steps in the sequence read archive.","year":2015,"url":"http://doi.org/10.1186/s13742-015-0064-7","authors":"Alnasir J,Shanahan HP","journal":"Gigascience","doi":"10.1186/s13742-015-0064-7","created_at":"2021-09-30T08:26:38.444Z","updated_at":"2021-09-30T08:26:38.444Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1453,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1452,"relation":"undefined"}],"grants":[{"id":1341,"fairsharing_record_id":1978,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.249Z","updated_at":"2021-09-30T09:25:03.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1979","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:42:05.706Z","metadata":{"doi":"10.25504/FAIRsharing.13cdzp","name":"Influenza Virus Resource","status":"ready","contacts":[{"contact_name":"Yiming Bao","contact_email":"bao@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genomes/FLU/Database/nph-select.cgi?go=database","identifier":1979,"description":"Influenza Virus Resource presents data obtained from the NIAID Influenza Genome Sequencing Project as well as from GenBank, combined with tools for flu sequence analysis, annotation and submission to GenBank. In addition, it provides links to other resources that contain flu sequences, publications and general information about flu viruses.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"genomes@ncbi.nlm.nih.gov","type":"Support email"},{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"http://www.ncbi.nlm.nih.gov/genomes/FLU/help.html","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/FLU/Database/nph-select.cgi?go=alignment","name":"Align"},{"url":"http://www.ncbi.nlm.nih.gov/genomes/FLU/Database/nph-select.cgi?go=tree","name":"cluster"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011004","name":"re3data:r3d100011004","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002984","name":"SciCrunch:RRID:SCR_002984","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://submit.ncbi.nlm.nih.gov/subs/genbank/","type":"open","notes":"Free registration is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000445","bsg-d000445"],"name":"FAIRsharing record for: Influenza Virus Resource","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.13cdzp","doi":"10.25504/FAIRsharing.13cdzp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Influenza Virus Resource presents data obtained from the NIAID Influenza Genome Sequencing Project as well as from GenBank, combined with tools for flu sequence analysis, annotation and submission to GenBank. In addition, it provides links to other resources that contain flu sequences, publications and general information about flu viruses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["Influenza virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":433,"pubmed_id":17942553,"title":"The influenza virus resource at the National Center for Biotechnology Information.","year":2007,"url":"http://doi.org/10.1128/JVI.02005-07","authors":"Bao Y., Bolotov P., Dernovoy D., Kiryutin B., Zaslavsky L., Tatusova T., Ostell J., Lipman D.,","journal":"J. Virol.","doi":"10.1128/JVI.02005-07","created_at":"2021-09-30T08:23:07.074Z","updated_at":"2021-09-30T08:23:07.074Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":920,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":922,"relation":"undefined"}],"grants":[{"id":1342,"fairsharing_record_id":1979,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.276Z","updated_at":"2021-09-30T09:25:03.276Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1980","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:04:26.034Z","metadata":{"doi":"10.25504/FAIRsharing.sgqf4n","name":"MapViewer","status":"deprecated","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/mapview/","identifier":1980,"description":"The Map Viewer is a tool of Entrez Genomes that provides special browsing capabilities for eukaryotic chromosomes. It allows the user to view and search an organisms complete genome, display chromosome maps, and zoom into progressively greater levels of detail, down to the sequence data for a region of interest.","abbreviation":"MapViewer","data_curation":{"type":"not found"},"support_links":[{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/projects/mapview/static/MapViewerHelp.html#ExercisesTutorials","type":"Training documentation"}],"year_creation":2000,"data_versioning":"not found","deprecation_date":"2021-06-25","deprecation_reason":"As of 2017, this resource has been superceded by the NCBI Genome Data Viewer. For more information, please see https://ncbiinsights.ncbi.nlm.nih.gov/2018/04/25/ncbi-retires-map-viewer-web-interface/","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000446","bsg-d000446"],"name":"FAIRsharing record for: MapViewer","abbreviation":"MapViewer","url":"https://fairsharing.org/10.25504/FAIRsharing.sgqf4n","doi":"10.25504/FAIRsharing.sgqf4n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Map Viewer is a tool of Entrez Genomes that provides special browsing capabilities for eukaryotic chromosomes. It allows the user to view and search an organisms complete genome, display chromosome maps, and zoom into progressively greater levels of detail, down to the sequence data for a region of interest.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["DNA sequence data","Genome visualization","Chromosome","Genome"],"taxonomies":["All","Eukaryota"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2461,"pubmed_id":11125038,"title":"Database resources of the National Center for Biotechnology Information.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.11","authors":"Wheeler DL., Church DM., Lash AE., Leipe DD., Madden TL., Pontius JU., Schuler GD., Schriml LM., Tatusova TA., Wagner L., Rapp BA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.11","created_at":"2021-09-30T08:27:01.844Z","updated_at":"2021-09-30T08:27:01.844Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1185,"relation":"undefined"}],"grants":[{"id":1343,"fairsharing_record_id":1980,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.330Z","updated_at":"2021-09-30T09:25:03.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1344,"fairsharing_record_id":1980,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.389Z","updated_at":"2021-09-30T09:25:03.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1969","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:51:22.651Z","metadata":{"doi":"10.25504/FAIRsharing.v9fya8","name":"Expressed Sequence Tags database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genbank/dbest/","citations":[],"identifier":1969,"description":"dbEST is a division of GenBank that contains sequence data and other information on \"single-pass\" cDNA sequences, or \"Expressed Sequence Tags\", from a number of organisms. ","abbreviation":"dbEST","data_curation":{"type":"not found"},"year_creation":1992,"data_versioning":"no","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/genbank/dbest/dbest_access/","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010648","name":"re3data:r3d100010648","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_016578","name":"SciCrunch:RRID:SCR_016578","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/genbank/dbest/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000435","bsg-d000435"],"name":"FAIRsharing record for: Expressed Sequence Tags database","abbreviation":"dbEST","url":"https://fairsharing.org/10.25504/FAIRsharing.v9fya8","doi":"10.25504/FAIRsharing.v9fya8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbEST is a division of GenBank that contains sequence data and other information on \"single-pass\" cDNA sequences, or \"Expressed Sequence Tags\", from a number of organisms. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12661}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Life Science"],"domains":["Expression data","Deoxyribonucleic acid","DNA sequencing assay","Complementary DNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":450,"pubmed_id":8401577,"title":"dbEST--database for \"expressed sequence tags\".","year":1993,"url":"http://doi.org/10.1038/ng0893-332","authors":"Boguski MS., Lowe TM., Tolstoshev CM.,","journal":"Nat. Genet.","doi":"10.1038/ng0893-332","created_at":"2021-09-30T08:23:08.858Z","updated_at":"2021-09-30T08:23:08.858Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1234,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1237,"relation":"undefined"}],"grants":[{"id":1323,"fairsharing_record_id":1969,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.594Z","updated_at":"2021-09-30T09:25:02.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1324,"fairsharing_record_id":1969,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.618Z","updated_at":"2021-09-30T09:25:02.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1970","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.531Z","metadata":{"doi":"10.25504/FAIRsharing.r90425","name":"dbMHC","status":"deprecated","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/mhc/","identifier":1970,"description":"dbMHC provides access to HLA sequences, tools to support genetic testing of HLA loci, HLA allele and haplotype frequencies of over 90 populations worldwide, as well as clinical datasets on nematopoietic stem cell transplantation, and insulin dependant diabetes mellitus (IDDM), Rheumatoid Arthritis (RA), Narcolepsy and Spondyloarthropathy. All clinical datasets housed at the dbMHC provide access to genotypic and phenotypic data on anonimyzed samples with aggregate query functions, and complete download capability.","abbreviation":"dbMHC","data_curation":{"type":"not found"},"support_links":[{"url":"dbMHC@ncbi.nlm.nih.gov","type":"Support email"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK21080/","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/projects/gv/mhc/align.fcgi?cmd=aligndisplay\u0026user_id=0\u0026probe_id=0\u0026source_id=0\u0026locus_id=0\u0026locus_group=1\u0026proto_id=0\u0026kit_id=0\u0026banner=1","name":"align"}],"deprecation_date":"2021-06-24","deprecation_reason":"The database is no longer available. Message on the homepage: \"The dbMHC database was an open, publicly accessible platform for DNA and clinical data related to the human Major Histocompatibility Complex (MHC). Data from IHWG workshops were provided as well. Data previously on the site are now available at ftp://ftp.ncbi.nlm.nih.gov/pub/mhc/mhc/Final Archive. If you have any specific questions, please feel free to contact us at info@ncbi.nlm.nih.gov.\"","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000436","bsg-d000436"],"name":"FAIRsharing record for: dbMHC","abbreviation":"dbMHC","url":"https://fairsharing.org/10.25504/FAIRsharing.r90425","doi":"10.25504/FAIRsharing.r90425","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbMHC provides access to HLA sequences, tools to support genetic testing of HLA loci, HLA allele and haplotype frequencies of over 90 populations worldwide, as well as clinical datasets on nematopoietic stem cell transplantation, and insulin dependant diabetes mellitus (IDDM), Rheumatoid Arthritis (RA), Narcolepsy and Spondyloarthropathy. All clinical datasets housed at the dbMHC provide access to genotypic and phenotypic data on anonimyzed samples with aggregate query functions, and complete download capability.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12662}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Deoxyribonucleic acid","Human leukocyte antigen complex"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1844,"relation":"undefined"}],"grants":[{"id":1325,"fairsharing_record_id":1970,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.647Z","updated_at":"2021-09-30T09:25:02.647Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1971","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:13:41.283Z","metadata":{"doi":"10.25504/FAIRsharing.64bk6p","name":"NCBI Probe Database","status":"deprecated","contacts":[{"contact_email":"probe-admin@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/probe","identifier":1971,"description":"The NCBI Probe Database is a public registry of nucleic acid reagents designed for use in a wide variety of biomedical research applications, together with information on reagent distributors, probe effectiveness, and computed sequence similarities.","abbreviation":"ProbeDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/projects/genome/probe/doc/Overview.shtml","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/probe/docs/","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/probe/docs/querytips/","type":"Training documentation"},{"url":"http://www.ncbi.nlm.nih.gov/probe/docs/glossary/","type":"Training documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/projects/genome/probe/doc/Submitting.shtml","name":"submit"},{"url":"http://www.ncbi.nlm.nih.gov/projects/linkout/","name":"LinkOut"},{"url":"http://www.ncbi.nlm.nih.gov/tools/epcr/","name":"ePCR"},{"url":"http://www.ncbi.nlm.nih.gov/tools/primer-blast/index.cgi","name":"Primer-Blast"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010780","name":"re3data:r3d100010780","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004816","name":"SciCrunch:RRID:SCR_004816","portal":"SciCrunch"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available from April 2020. The data can still be retrieved from their FTP servers. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000437","bsg-d000437"],"name":"FAIRsharing record for: NCBI Probe Database","abbreviation":"ProbeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.64bk6p","doi":"10.25504/FAIRsharing.64bk6p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NCBI Probe Database is a public registry of nucleic acid reagents designed for use in a wide variety of biomedical research applications, together with information on reagent distributors, probe effectiveness, and computed sequence similarities.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12663}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Polymerase chain reaction primers","Expression data","Oligonucleotide probe annotation","Nucleotide","Genetic polymorphism"],"taxonomies":["All"],"user_defined_tags":["Mapping information and coding potential"],"countries":["United States"],"publications":[{"id":453,"pubmed_id":23193264,"title":"Database resources of the National Center for Biotechnology Information.","year":2012,"url":"http://doi.org/10.1093/nar/gks1189","authors":"NCBI Resource Coordinators","journal":"Nucleic Acids Res.","doi":"23193264","created_at":"2021-09-30T08:23:09.175Z","updated_at":"2021-09-30T08:23:09.175Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2337,"relation":"undefined"}],"grants":[{"id":1326,"fairsharing_record_id":1971,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.690Z","updated_at":"2021-09-30T09:25:02.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1967","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:21:41.039Z","metadata":{"doi":"10.25504/FAIRsharing.b9st5p","name":"Conserved Domain Database","status":"ready","contacts":[{"contact_name":"Aron Marchler-Bauer","contact_email":"bauer@ncbi.nlm.nih.gov","contact_orcid":"0000-0003-1516-0712"}],"homepage":"https://www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml","citations":[{"doi":"10.1093/nar/gkac1096","pubmed_id":null,"publication_id":3857}],"identifier":1967,"description":"The Conserved Domain Database (CDD) brings together several collections of multiple sequence alignments representing conserved domains, including NCBI-curated domains, which use 3D-structure information to explicitly to define domain boundaries and provide insights into sequence/structure/function relationships, as well as domain models imported from a number of external source databases (Pfam, SMART, COG, NCBI Protein Clusters, TIGRFAM, NCBIfam). NCBI-curated models are organized hierarchically into families, sub- and super-families, and come with annotation of functional sites.","abbreviation":"CDD","data_curation":{"url":"https://doi.org/10.1093/nar/gkac1096","type":"manual"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/Structure/cdd/docs/cdd_news.html","name":"News","type":"Blog/News"},{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/cdd/cdd_help.shtml","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/Structure/cdtree/cdtree.shtml","name":"CDTree (domain hierarchy editor) 3.1"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/CN3D/cn3d.shtml","name":"Cn3D (structure viewer and alignment editor) 4.3.1"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi","name":"CD-Search (domain annotation for a single sequence)"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi","name":"BATCH CD-Search (domain annotation for a set of sequences)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010653","name":"re3data:r3d100010653","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002077","name":"SciCrunch:RRID:SCR_002077","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000433","bsg-d000433"],"name":"FAIRsharing record for: Conserved Domain Database","abbreviation":"CDD","url":"https://fairsharing.org/10.25504/FAIRsharing.b9st5p","doi":"10.25504/FAIRsharing.b9st5p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Conserved Domain Database (CDD) brings together several collections of multiple sequence alignments representing conserved domains, including NCBI-curated domains, which use 3D-structure information to explicitly to define domain boundaries and provide insights into sequence/structure/function relationships, as well as domain models imported from a number of external source databases (Pfam, SMART, COG, NCBI Protein Clusters, TIGRFAM, NCBIfam). NCBI-curated models are organized hierarchically into families, sub- and super-families, and come with annotation of functional sites.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12660}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Functional domain","Molecular structure","Protein structure","Protein domain","Annotation","Multiple sequence alignment","Sequence alignment","Structure","Protein","Sequence feature","Literature curation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":266,"pubmed_id":18984618,"title":"CDD: specific functional annotation with the Conserved Domain Database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn845","authors":"Marchler-Bauer A., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn845","created_at":"2021-09-30T08:22:48.765Z","updated_at":"2021-09-30T08:22:48.765Z"},{"id":488,"pubmed_id":27899674,"title":"CDD/SPARCLE: functional classification of proteins via subfamily domain architectures.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1129","authors":"Marchler-Bauer A,Bo Y,Han L,He J,Lanczycki CJ,Lu S,Chitsaz F,Derbyshire MK,Geer RC,Gonzales NR,Gwadz M,Hurwitz DI,Lu F,Marchler GH,Song JS,Thanki N,Wang Z,Yamashita RA,Zhang D,Zheng C,Geer LY,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1129","created_at":"2021-09-30T08:23:13.073Z","updated_at":"2021-09-30T11:28:46.793Z"},{"id":779,"pubmed_id":23197659,"title":"CDD: conserved domains and protein three-dimensional structure","year":2012,"url":"http://doi.org/10.1093/nar/gks1243","authors":"Marchler-Bauer A., Zheng C., Chitsaz F., Derbyshire MK., Geer LY., Geer RC., Gonzales NR., Gwadz M., Hurwitz DI., Lanczycki CJ., Lu F., Lu S., Marchler GH., Song JS., Thanki N., Yamashita RA., Zhang D., Bryant SH.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1243","created_at":"2021-09-30T08:23:45.837Z","updated_at":"2021-09-30T08:23:45.837Z"},{"id":1056,"pubmed_id":25414356,"title":"CDD: NCBI's conserved domain database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1221","authors":"Marchler-Bauer A, Derbyshire MK, Gonzales NR, Lu S, Chitsaz F, Geer LY, Geer RC, He J, Gwadz M, Hurwitz DI, Lanczycki CJ, Lu F, Marchler GH, Song JS, Thanki N, Wang Z, Yamashita RA, Zhang D, Zheng C, Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1221","created_at":"2021-09-30T08:24:16.947Z","updated_at":"2021-09-30T08:24:16.947Z"},{"id":3857,"pubmed_id":null,"title":"The conserved domain database in 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1096","authors":"Wang, Jiyao; Chitsaz, Farideh; Derbyshire, Myra K; Gonzales, Noreen R; Gwadz, Marc; Lu, Shennan; Marchler, Gabriele H; Song, James S; Thanki, Narmada; Yamashita, Roxanne A; Yang, Mingzhang; Zhang, Dachuan; Zheng, Chanjuan; Lanczycki, Christopher J; Marchler-Bauer, Aron; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1096","created_at":"2023-05-02T18:29:43.040Z","updated_at":"2023-05-02T18:29:43.040Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":271,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":272,"relation":"undefined"}],"grants":[{"id":1320,"fairsharing_record_id":1967,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.508Z","updated_at":"2021-09-30T09:25:02.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9162,"fairsharing_record_id":1967,"organisation_id":2045,"relation":"funds","created_at":"2022-04-11T12:07:18.576Z","updated_at":"2022-04-11T12:07:18.576Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1968","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:12.309Z","metadata":{"doi":"10.25504/FAIRsharing.djsbw2","name":"Clusters of Orthologous Groups of Proteins: Phylogenetic classification of proteins encoded in complete genomes","status":"ready","contacts":[{"contact_name":"Eugene V Koonin","contact_email":"koonin@ncbi.nlm.nih.gov","contact_orcid":"0000-0003-3943-8299"}],"homepage":"https://www.ncbi.nlm.nih.gov/research/cog/","citations":[],"identifier":1968,"description":"Clusters of Orthologous Groups of proteins (COGs) were delineated by comparing protein sequences encoded in complete genomes, representing major phylogenetic lineages. Each COG consists of individual proteins or groups of paralogs from at least 3 lineages and thus corresponds to an ancient conserved domain.","abbreviation":"COG","data_curation":{"type":"not found"},"year_creation":1996,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000434","bsg-d000434"],"name":"FAIRsharing record for: Clusters of Orthologous Groups of Proteins: Phylogenetic classification of proteins encoded in complete genomes","abbreviation":"COG","url":"https://fairsharing.org/10.25504/FAIRsharing.djsbw2","doi":"10.25504/FAIRsharing.djsbw2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Clusters of Orthologous Groups of proteins (COGs) were delineated by comparing protein sequences encoded in complete genomes, representing major phylogenetic lineages. Each COG consists of individual proteins or groups of paralogs from at least 3 lineages and thus corresponds to an ancient conserved domain.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":434,"pubmed_id":9381173,"title":"A genomic perspective on protein families.","year":1997,"url":"http://doi.org/10.1126/science.278.5338.631","authors":"Tatusov RL., Koonin EV., Lipman DJ.,","journal":"Science","doi":"10.1126/science.278.5338.631","created_at":"2021-09-30T08:23:07.176Z","updated_at":"2021-09-30T08:23:07.176Z"},{"id":912,"pubmed_id":25428365,"title":"Expanded microbial genome coverage and improved protein family annotation in the COG database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1223","authors":"Galperin MY,Makarova KS,Wolf YI,Koonin EV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1223","created_at":"2021-09-30T08:24:00.719Z","updated_at":"2021-09-30T11:28:55.268Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1506,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1509,"relation":"undefined"}],"grants":[{"id":1322,"fairsharing_record_id":1968,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.562Z","updated_at":"2021-09-30T09:25:02.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1981","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:15:12.453Z","metadata":{"doi":"10.25504/FAIRsharing.zqzvyc","name":"NCBI Structure","status":"ready","contacts":[{"contact_name":"Thomas Madej","contact_email":"madej@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/structure","citations":[],"identifier":1981,"description":"NCBI Structure, as part of the Entrez system, facilitates access to structure data by connecting them with associated literature, protein and nucleic acid sequences, chemicals, biomolecular interactions, and more.\nNote that this resource was also known as Molecular Modeling Database (MMDB).","abbreviation":null,"data_curation":{"url":"https://www.ncbi.nlm.nih.gov/Structure/MMDB/docs/mmdb_help.html","type":"manual/automated"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/Structure/cdd/cdd_help.shtml","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/structure","name":"Entrez structure search"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/CN3D/cn3d.shtml","name":"Cn3D structure viewer 4.3.1"},{"url":"http://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins\u0026PROGRAM=blastp\u0026BLAST_PROGRAMS=blastp\u0026PAGE_TYPE=BlastSearch\u0026DATABASE=pdb","name":"BLAST"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/VAST/vastsearch.html","name":"VAST Search for Similar Structures"},{"url":"http://www.ncbi.nlm.nih.gov/Structure/vastplus/vastplus.cgi","name":"VAST+ similar structure assemblies"},{"url":"https://www.ncbi.nlm.nih.gov/Structure/icn3d/","name":"iCn3D - WebGL-based 3D structure viewer 2.24.7"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010779","name":"re3data:r3d100010779","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004218","name":"SciCrunch:RRID:SCR_004218","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/Structure/MMDB/docs/mmdb_help.html","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/Structure/MMDB/docs/mmdb_help.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000447","bsg-d000447"],"name":"FAIRsharing record for: NCBI Structure","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zqzvyc","doi":"10.25504/FAIRsharing.zqzvyc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NCBI Structure, as part of the Entrez system, facilitates access to structure data by connecting them with associated literature, protein and nucleic acid sequences, chemicals, biomolecular interactions, and more.\nNote that this resource was also known as Molecular Modeling Database (MMDB).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Modeling and simulation","Molecular interaction","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":179,"pubmed_id":24319143,"title":"MMDB and VAST+: tracking structural similarities between macromolecular complexes.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1208","authors":"Madej T,Lanczycki CJ,Zhang D,Thiessen PA,Geer RC,Marchler-Bauer A,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1208","created_at":"2021-09-30T08:22:39.578Z","updated_at":"2021-09-30T11:28:43.658Z"},{"id":1504,"pubmed_id":17135201,"title":"MMDB: annotating protein sequences with Entrez's 3D-structure database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl952","authors":"Wang Y., Addess KJ., Chen J., Geer LY., He J., He S., Lu S., Madej T., Marchler-Bauer A., Thiessen PA., Zhang N., Bryant SH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl952","created_at":"2021-09-30T08:25:08.378Z","updated_at":"2021-09-30T08:25:08.378Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":142,"relation":"undefined"}],"grants":[{"id":1345,"fairsharing_record_id":1981,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.420Z","updated_at":"2021-09-30T09:25:03.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1982","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:32.726Z","metadata":{"doi":"10.25504/FAIRsharing.rtndct","name":"The Protein Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/protein","citations":[],"identifier":1982,"description":"The Protein database is a collection of sequences from several sources, including translations from annotated coding regions in GenBank, RefSeq and TPA, as well as records from UniProt/SwissProt, PIR, PRF, and PDB. Protein sequences are the fundamental determinants of biological structure and function.","abbreviation":"Protein","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/books/NBK49541/#NucProtFAQ.1_why_are_there_records_that","type":"manual/automated","notes":"RefSeqs are curated from single or multiple sequence records"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/books/NBK49541/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK44863/","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"https://blast.ncbi.nlm.nih.gov/Blast.cgi","name":"BLAST"},{"url":"https://www.ncbi.nlm.nih.gov/entrez/linkout","name":"LinkOut"},{"url":"https://www.ncbi.nlm.nih.gov/sites/batchentrez","name":"Batch Entrez"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010776","name":"re3data:r3d100010776","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003257","name":"SciCrunch:RRID:SCR_003257","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.nlm.nih.gov/web_policies.html#copyright","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/books/NBK49541/#NucProtFAQ.8_what_are_the_sources_of_the","type":"controlled","notes":"The Protein database is a collection of sequences from several sources"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000448","bsg-d000448"],"name":"FAIRsharing record for: The Protein Database","abbreviation":"Protein","url":"https://fairsharing.org/10.25504/FAIRsharing.rtndct","doi":"10.25504/FAIRsharing.rtndct","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Protein database is a collection of sequences from several sources, including translations from annotated coding regions in GenBank, RefSeq and TPA, as well as records from UniProt/SwissProt, PIR, PRF, and PDB. Protein sequences are the fundamental determinants of biological structure and function.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology","Translational Medicine"],"domains":["Annotation","Gene functional annotation","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":453,"pubmed_id":23193264,"title":"Database resources of the National Center for Biotechnology Information.","year":2012,"url":"http://doi.org/10.1093/nar/gks1189","authors":"NCBI Resource Coordinators","journal":"Nucleic Acids Res.","doi":"23193264","created_at":"2021-09-30T08:23:09.175Z","updated_at":"2021-09-30T08:23:09.175Z"},{"id":1080,"pubmed_id":26615191,"title":"Database resources of the National Center for Biotechnology Information.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1290","authors":"NCBI Resource Coordinators","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1290","created_at":"2021-09-30T08:24:19.637Z","updated_at":"2021-09-30T11:28:57.992Z"}],"licence_links":[{"licence_name":"NLM Copyright Information","licence_id":592,"licence_url":"https://www.nlm.nih.gov/web_policies.html#copyright","link_id":2785,"relation":"applies_to_content"}],"grants":[{"id":1346,"fairsharing_record_id":1982,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.479Z","updated_at":"2022-08-02T14:46:06.875Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1972","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:47.354Z","metadata":{"doi":"10.25504/FAIRsharing.edxb58","name":"Database of Single Nucleotide Polymorphism","status":"ready","contacts":[{"contact_name":"dbSNP Admin","contact_email":"snp-admin@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/snp/","citations":[],"identifier":1972,"description":"dbSNP contains human single nucleotide variations, microsatellites, and small-scale insertions and deletions along with publication, population frequency, molecular consequence, and genomic and RefSeq mapping information for both common variations and clinical mutations.","abbreviation":"dbSNP","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/snp/docs/RefSNP_about/","type":"manual/automated"},"support_links":[{"url":"https://ncbiinsights.ncbi.nlm.nih.gov/tag/dbsnp/","name":"NCBI Insights","type":"Blog/News"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3848/","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/mailman/listinfo/dbsnp-announce","name":"dbsnp-announce","type":"Mailing list"},{"url":"https://github.com/ncbi/dbsnp/tree/master/tutorials","name":"Online tutorials","type":"Github"}],"year_creation":1998,"data_versioning":"yes","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/snp/docs/submission/hts_launch_and_introductory_material","name":"Submission"},{"url":"https://api.ncbi.nlm.nih.gov/variation/v0/","name":"Variation Service"},{"url":"https://www.ncbi.nlm.nih.gov/variation/view","name":"Variation Viewer"},{"url":"ftp://ftp.ncbi.nlm.nih.gov/snp/","name":"FTP"},{"url":"http://www.ncbi.nlm.nih.gov/snp","name":"Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010652","name":"re3data:r3d100010652","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002338","name":"SciCrunch:RRID:SCR_002338","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/snp/docs/submission/hts_launch_and_introductory_material/","type":"open","notes":"Only human SNPs are accepted."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000438","bsg-d000438"],"name":"FAIRsharing record for: Database of Single Nucleotide Polymorphism","abbreviation":"dbSNP","url":"https://fairsharing.org/10.25504/FAIRsharing.edxb58","doi":"10.25504/FAIRsharing.edxb58","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbSNP contains human single nucleotide variations, microsatellites, and small-scale insertions and deletions along with publication, population frequency, molecular consequence, and genomic and RefSeq mapping information for both common variations and clinical mutations.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10773},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10949},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11010},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11066}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic polymorphism","Single nucleotide polymorphism","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":435,"pubmed_id":11125122,"title":"dbSNP: the NCBI database of genetic variation.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.308","authors":"Sherry ST., Ward MH., Kholodov M., Baker J., Phan L., Smigielski EM., Sirotkin K.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.308","created_at":"2021-09-30T08:23:07.283Z","updated_at":"2021-09-30T08:23:07.283Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":217,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":218,"relation":"undefined"}],"grants":[{"id":1327,"fairsharing_record_id":1972,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.732Z","updated_at":"2021-09-30T09:25:02.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1328,"fairsharing_record_id":1972,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.774Z","updated_at":"2021-09-30T09:25:02.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1973","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-12-06T10:49:22.296Z","metadata":{"doi":"10.25504/FAIRsharing.wk5azf","name":"Database of Sequence Tagged Sites","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/dbSTS/index.html","identifier":1973,"description":"dbSTS is an NCBI resource that contains sequence data for short genomic landmark sequences or Sequence Tagged Sites.","abbreviation":"dbSTS","data_curation":{"type":"not found"},"year_creation":1988,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010649","name":"re3data:r3d100010649","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000400","name":"SciCrunch:RRID:SCR_000400","portal":"SciCrunch"}],"deprecation_date":"2021-9-23","deprecation_reason":"This resource has been incorporated into Genbank, and all data can be searched and submitted via that resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000439","bsg-d000439"],"name":"FAIRsharing record for: Database of Sequence Tagged Sites","abbreviation":"dbSTS","url":"https://fairsharing.org/10.25504/FAIRsharing.wk5azf","doi":"10.25504/FAIRsharing.wk5azf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbSTS is an NCBI resource that contains sequence data for short genomic landmark sequences or Sequence Tagged Sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Nucleic acid sequence","DNA sequence data","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1,"pubmed_id":2781285,"title":"A common language for physical mapping of the human genome.","year":1989,"url":"http://doi.org/10.1126/science.2781285","authors":"Olson M,Hood L,Cantor C,Botstein D","journal":"Science","doi":"10.1126/science.2781285","created_at":"2021-09-30T08:22:20.699Z","updated_at":"2021-09-30T08:22:20.699Z"},{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1270,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1274,"relation":"undefined"}],"grants":[{"id":1329,"fairsharing_record_id":1973,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:02.816Z","updated_at":"2021-09-30T09:25:02.816Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1330,"fairsharing_record_id":1973,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:02.853Z","updated_at":"2021-09-30T09:25:02.853Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1959","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:25.961Z","metadata":{"doi":"10.25504/FAIRsharing.ncgh1j","name":"Pathway Interaction Database","status":"deprecated","contacts":[{"contact_name":"Carl F. Schaefer","contact_email":"schaefec@mail.nih.gov"}],"homepage":"http://pid.nci.nih.gov/","identifier":1959,"description":"The Pathway Interaction Database is a highly-structured, curated collection of information about known biomolecular interactions and key cellular processes assembled into signaling pathways.","abbreviation":"PID","data_curation":{"type":"not found"},"support_links":[{"url":"ncicb@pop.nci.nih.go","type":"Support email"}],"year_creation":2008,"data_versioning":"not found","deprecation_date":"2019-01-13","deprecation_reason":"The NCI PID data portal has been retired. Please see https://wiki.nci.nih.gov/pages/viewpage.action?pageId=315491760 for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000425","bsg-d000425"],"name":"FAIRsharing record for: Pathway Interaction Database","abbreviation":"PID","url":"https://fairsharing.org/10.25504/FAIRsharing.ncgh1j","doi":"10.25504/FAIRsharing.ncgh1j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pathway Interaction Database is a highly-structured, curated collection of information about known biomolecular interactions and key cellular processes assembled into signaling pathways.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Signaling","Molecular interaction","Small molecule","Protein","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":429,"pubmed_id":18832364,"title":"PID: the Pathway Interaction Database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn653","authors":"Schaefer CF., Anthony K., Krupa S., Buchoff J., Day M., Hannay T., Buetow KH.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn653","created_at":"2021-09-30T08:23:06.658Z","updated_at":"2021-09-30T08:23:06.658Z"}],"licence_links":[],"grants":[{"id":1298,"fairsharing_record_id":1959,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:25:02.132Z","updated_at":"2021-09-30T09:25:02.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1960","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T07:53:24.628Z","metadata":{"doi":"10.25504/FAIRsharing.gdqqm0","name":"caArray","status":"deprecated","contacts":[],"homepage":"https://array.nci.nih.gov/caarray/home.action","citations":[],"identifier":1960,"description":"The Cancer gene expression and microarray data of the National Cancer Institute","abbreviation":"caArray","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2015-07-07","deprecation_reason":"This resource is obsolete and no longer maintained. Data available via GEO (https://www.biosharing.org/biodbcore-000441). See https://wiki.nci.nih.gov/display/caArray2/caArray+Retirement+Announcement for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000426","bsg-d000426"],"name":"FAIRsharing record for: caArray","abbreviation":"caArray","url":"https://fairsharing.org/10.25504/FAIRsharing.gdqqm0","doi":"10.25504/FAIRsharing.gdqqm0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer gene expression and microarray data of the National Cancer Institute","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Expression data"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":506,"relation":"undefined"}],"grants":[{"id":1299,"fairsharing_record_id":1960,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:25:02.149Z","updated_at":"2021-09-30T09:25:02.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1984","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:37.830Z","metadata":{"doi":"10.25504/FAIRsharing.qt5ky7","name":"NCBI Viral Genomes Resource","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"genomes@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/genome/viruses/","citations":[{"doi":"10.1093/nar/gku1207","pubmed_id":25428358,"publication_id":1516}],"identifier":1984,"description":"NCBI Virus is an integrative, value-added resource designed to support retrieval, display and analysis of a curated collection of virus sequences and large sequence datasets. We are a community portal for viral sequence data, and our goal is to increase the usability of data archived in GenBank and other NCBI repositories.\n\nNCBI Viral Genomes Resource is a collection of virus genomic sequences that provides curated sequence data, related information and tools. It includes all complete viral genome sequences deposited in the International Nucleotide Sequence Database Collaboration (INSDC) databases, i.e. DDBJ, EMBL, and GenBank. Data are organized by viral taxonomy, and reference sequence records (RefSeqs) from one or more genome sequences for each viral species. After a RefSeq has been created for a species, other complete genomes from that same species are indexed as neighbors to the RefSeq.","abbreviation":"NCBI Virus","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/genome/viruses/about/HowTo/#refseq_curation_and_content","type":"manual","notes":"The content and curation of viral reference sequences"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/genome/viruses/about/HowTo/","name":"User Guide","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/genome/viruses/about/","name":"Overview","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000450","bsg-d000450"],"name":"FAIRsharing record for: NCBI Viral Genomes Resource","abbreviation":"NCBI Virus","url":"https://fairsharing.org/10.25504/FAIRsharing.qt5ky7","doi":"10.25504/FAIRsharing.qt5ky7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NCBI Virus is an integrative, value-added resource designed to support retrieval, display and analysis of a curated collection of virus sequences and large sequence datasets. We are a community portal for viral sequence data, and our goal is to increase the usability of data archived in GenBank and other NCBI repositories.\n\nNCBI Viral Genomes Resource is a collection of virus genomic sequences that provides curated sequence data, related information and tools. It includes all complete viral genome sequences deposited in the International Nucleotide Sequence Database Collaboration (INSDC) databases, i.e. DDBJ, EMBL, and GenBank. Data are organized by viral taxonomy, and reference sequence records (RefSeqs) from one or more genome sequences for each viral species. After a RefSeq has been created for a species, other complete genomes from that same species are indexed as neighbors to the RefSeq.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12667}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Virology"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Viral genome","Genome"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1516,"pubmed_id":25428358,"title":"NCBI viral genomes resource.","year":2014,"url":"http://doi.org/10.1093/nar/gku1207","authors":"Brister JR,Ako-Adjei D,Bao Y,Blinkova O","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1207","created_at":"2021-09-30T08:25:09.665Z","updated_at":"2021-09-30T11:29:11.834Z"},{"id":3416,"pubmed_id":null,"title":"Virus Variation Resource – improved response to emergent viral outbreaks","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkw1065","authors":"Hatcher, Eneida L.; Zhdanov, Sergey A.; Bao, Yiming; Blinkova, Olga; Nawrocki, Eric P.; Ostapchuck, Yuri; Schäffer, Alejandro A.; Brister, J. Rodney; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1065","created_at":"2022-06-01T01:16:24.308Z","updated_at":"2022-06-01T01:16:24.308Z"},{"id":3417,"pubmed_id":null,"title":"Minimum Information about an Uncultivated Virus Genome (MIUViG)","year":2018,"url":"http://dx.doi.org/10.1038/nbt.4306","authors":"Roux, Simon; Adriaenssens, Evelien M; Dutilh, Bas E; Koonin, Eugene V; Kropinski, Andrew M; Krupovic, Mart; Kuhn, Jens H; Lavigne, Rob; Brister, J Rodney; Varsani, Arvind; Amid, Clara; Aziz, Ramy K; Bordenstein, Seth R; Bork, Peer; Breitbart, Mya; Cochrane, Guy R; Daly, Rebecca A; Desnues, Christelle; Duhaime, Melissa B; Emerson, Joanne B; Enault, François; Fuhrman, Jed A; Hingamp, Pascal; Hugenholtz, Philip; Hurwitz, Bonnie L; Ivanova, Natalia N; Labonté, Jessica M; Lee, Kyung-Bum; Malmstrom, Rex R; Martinez-Garcia, Manuel; Mizrachi, Ilene Karsch; Ogata, Hiroyuki; Páez-Espino, David; Petit, Marie-Agnès; Putonti, Catherine; Rattei, Thomas; Reyes, Alejandro; Rodriguez-Valera, Francisco; Rosario, Karyna; Schriml, Lynn; Schulz, Frederik; Steward, Grieg F; Sullivan, Matthew B; Sunagawa, Shinichi; Suttle, Curtis A; Temperton, Ben; Tringe, Susannah G; Thurber, Rebecca Vega; Webster, Nicole S; Whiteson, Katrine L; Wilhelm, Steven W; Wommack, K Eric; Woyke, Tanja; Wrighton, Kelly C; Yilmaz, Pelin; Yoshida, Takashi; Young, Mark J; Yutin, Natalya; Allen, Lisa Zeigler; Kyrpides, Nikos C; Eloe-Fadrosh, Emiley A; ","journal":"Nat Biotechnol","doi":"10.1038/nbt.4306","created_at":"2022-06-01T01:17:46.666Z","updated_at":"2022-06-01T01:17:46.666Z"},{"id":3418,"pubmed_id":null,"title":"Overlapping genes and the proteins they encode differ significantly in their sequence composition from non-overlapping genes","year":2018,"url":"http://dx.doi.org/10.1371/journal.pone.0202513","authors":"Pavesi, Angelo; Vianelli, Alberto; Chirico, Nicola; Bao, Yiming; Blinkova, Olga; Belshaw, Robert; Firth, Andrew; Karlin, David; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0202513","created_at":"2022-06-01T02:05:46.663Z","updated_at":"2022-06-01T02:05:46.663Z"},{"id":3419,"pubmed_id":null,"title":"How to Name and Classify Your Phage: An Informal Guide","year":2017,"url":"http://dx.doi.org/10.3390/v9040070","authors":"Adriaenssens, Evelien; Brister, J. Rodney; ","journal":"Viruses","doi":"10.3390/v9040070","created_at":"2022-06-01T02:08:05.970Z","updated_at":"2022-06-01T02:08:05.970Z"},{"id":3420,"pubmed_id":null,"title":"Virus taxonomy in the age of metagenomics","year":2017,"url":"http://dx.doi.org/10.1038/nrmicro.2016.177","authors":"Simmonds, Peter; Adams, Mike J.; Benkő, Mária; Breitbart, Mya; Brister, J. Rodney; Carstens, Eric B.; Davison, Andrew J.; Delwart, Eric; Gorbalenya, Alexander E.; Harrach, Balázs; Hull, Roger; King, Andrew M.Q.; Koonin, Eugene V.; Krupovic, Mart; Kuhn, Jens H.; Lefkowitz, Elliot J.; Nibert, Max L.; Orton, Richard; Roossinck, Marilyn J.; Sabanadzovic, Sead; Sullivan, Matthew B.; Suttle, Curtis A.; Tesh, Robert B.; van der Vlugt, René A.; Varsani, Arvind; Zerbini, F. Murilo; ","journal":"Nat Rev Microbiol","doi":"10.1038/nrmicro.2016.177","created_at":"2022-06-01T02:08:32.422Z","updated_at":"2022-06-01T02:08:32.422Z"},{"id":3421,"pubmed_id":null,"title":"NCBI will no longer make taxonomy identifiers for individual influenza strains on January 15, 2018","year":2018,"url":"http://dx.doi.org/10.7287/peerj.preprints.3428v1","authors":"Hatcher, Eneida; Bao, Yiming; Amedeo, Paolo; Blinkova, Olga; Cochrane, Guy; Fedorova, Nadia; Gruner, William; Leipe, Detlef; Nakamura, Yasukazu; Ostapchuk, Yuri; Palanigobu, Vasuki; Sanders, Robert; Schoch, Conrad; Smith, Catherine; Wentworth, David; Yankie, Linda; Zhdanov, Sergey; Karsch-Mizrachi, Ilene; Brister, J. Rodney; ","journal":"PeerJ","doi":"10.7287/peerj.preprints.3428v1","created_at":"2022-06-01T02:09:21.534Z","updated_at":"2022-06-01T02:09:21.534Z"},{"id":3422,"pubmed_id":null,"title":"NCBI Viral Genomes Resource","year":2014,"url":"http://dx.doi.org/10.1093/nar/gku1207","authors":"Brister, J. Rodney; Ako-adjei, Danso; Bao, Yiming; Blinkova, Olga; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1207","created_at":"2022-06-01T02:10:14.717Z","updated_at":"2022-06-01T02:10:14.717Z"},{"id":3423,"pubmed_id":null,"title":"HIV-1, human interaction database: current status and new features","year":2014,"url":"http://dx.doi.org/10.1093/nar/gku1126","authors":"Ako-Adjei, Danso; Fu, William; Wallin, Craig; Katz, Kenneth S.; Song, Guangfeng; Darji, Dakshesh; Brister, J. Rodney; Ptak, Roger G.; Pruitt, Kim D.; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1126","created_at":"2022-06-01T02:11:49.545Z","updated_at":"2022-06-01T02:11:49.545Z"},{"id":3424,"pubmed_id":null,"title":"The Influenza Virus Resource at the National Center for Biotechnology Information","year":2007,"url":"http://dx.doi.org/10.1128/jvi.02005-07","authors":"Bao, Yiming; Bolotov, Pavel; Dernovoy, Dmitry; Kiryutin, Boris; Zaslavsky, Leonid; Tatusova, Tatiana; Ostell, Jim; Lipman, David; ","journal":"J Virol","doi":"10.1128/jvi.02005-07","created_at":"2022-06-01T02:12:12.246Z","updated_at":"2022-06-01T02:12:12.246Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2031,"relation":"undefined"},{"licence_name":"NCBI Viral Genomes Resource Attribution required","licence_id":557,"licence_url":"https://www.ncbi.nlm.nih.gov/genome/viruses/variation/publications/","link_id":2027,"relation":"undefined"}],"grants":[{"id":1349,"fairsharing_record_id":1984,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.585Z","updated_at":"2021-09-30T09:25:03.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1985","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:53:07.530Z","metadata":{"doi":"10.25504/FAIRsharing.99sey6","name":"Organelle Genome Resource","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/genomes/GenomesHome.cgi?taxid=2759\u0026hopt=html","identifier":1985,"description":"The organelle genomes are part of the NCBI Reference Sequence (RefSeq) project that provides curated sequence data and related information for the community to use as a standard.","abbreviation":null,"data_curation":{"type":"manual/automated","notes":"The organelle genomes are part of the NCBI Reference Sequence (RefSeq) project that provides curated sequence data."},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/GenomesHome.cgi?taxid=2759\u0026hopt=faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":1986,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000451","bsg-d000451"],"name":"FAIRsharing record for: Organelle Genome Resource","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.99sey6","doi":"10.25504/FAIRsharing.99sey6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The organelle genomes are part of the NCBI Reference Sequence (RefSeq) project that provides curated sequence data and related information for the community to use as a standard.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Ribonucleic acid","Structure","Genome"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":806,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":805,"relation":"undefined"}],"grants":[{"id":1351,"fairsharing_record_id":1985,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.658Z","updated_at":"2021-09-30T09:25:03.658Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1350,"fairsharing_record_id":1985,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.616Z","updated_at":"2021-09-30T09:25:03.616Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1993","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:01:51.941Z","metadata":{"doi":"10.25504/FAIRsharing.ge1c3p","name":"UniGene gene-oriented nucleotide sequence clusters","status":"deprecated","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/unigene","identifier":1993,"description":"Each UniGene entry is a set of transcript sequences that appear to come from the same transcription locus (gene or expressed pseudogene), together with information on protein similarities, gene expression, cDNA clone reagents, and genomic location.","abbreviation":"UniGene","data_curation":{"type":"not found"},"support_links":[{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"https://www.ncbi.nlm.nih.gov/UniGene/help.cgi?item=FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/UniGene/help.cgi","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/UniGene/ddd.cgi","name":"digital differential display"}],"deprecation_date":"2021-05-27","deprecation_reason":"The UniGene database and web pages have been retired. Please see https://ncbiinsights.ncbi.nlm.nih.gov/2019/07/30/the-unigene-web-pages-are-now-retired/ for more information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000459","bsg-d000459"],"name":"FAIRsharing record for: UniGene gene-oriented nucleotide sequence clusters","abbreviation":"UniGene","url":"https://fairsharing.org/10.25504/FAIRsharing.ge1c3p","doi":"10.25504/FAIRsharing.ge1c3p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Each UniGene entry is a set of transcript sequences that appear to come from the same transcription locus (gene or expressed pseudogene), together with information on protein similarities, gene expression, cDNA clone reagents, and genomic location.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12671}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Protein","Gene","Complementary DNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":460,"pubmed_id":12519941,"title":"Database resources of the National Center for Biotechnology.","year":2003,"url":"http://doi.org/10.1093/nar/gkg033","authors":"Wheeler DL., Church DM., Federhen S., Lash AE., Madden TL., Pontius JU., Schuler GD., Schriml LM., Sequeira E., Tatusova TA., Wagner L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg033","created_at":"2021-09-30T08:23:09.975Z","updated_at":"2021-09-30T08:23:09.975Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1546,"relation":"undefined"}],"grants":[{"id":1364,"fairsharing_record_id":1993,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.099Z","updated_at":"2021-09-30T09:25:04.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1994","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:30:39.145Z","metadata":{"doi":"10.25504/FAIRsharing.81dw2c","name":"NCBI UniSTS","status":"deprecated","contacts":[{"contact_email":"probe-admin@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/unists","citations":[],"identifier":1994,"description":"UniSTS was a database of sequence tagged sites (STSs), derived from STS-based maps and other experiments. All data from this resource have been moved to the Probe database. You can retrieve all UniSTS records by searching the probe database using the search term \"unists[properties]\". Additionally, legacy data remain on the NCBI FTP Site in the UniSTS Repository (ftp://ftp.ncbi.nih.gov/pub/ProbeDB/legacy_unists). If you have any specific questions, please feel free to contact us at info@ncbi.nlm.nih.gov","abbreviation":"NCBI UniSTS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/genome/sts/help.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/dbSTS/how_to_submit.html","name":"submit"},{"url":"http://www.ncbi.nlm.nih.gov/unists","name":"search"}],"deprecation_date":"2015-07-07","deprecation_reason":"This resource is obsolete. Please see the BioSharing record for the Probe database (https://www.biosharing.org/biodbcore-000437) instead.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000460","bsg-d000460"],"name":"FAIRsharing record for: NCBI UniSTS","abbreviation":"NCBI UniSTS","url":"https://fairsharing.org/10.25504/FAIRsharing.81dw2c","doi":"10.25504/FAIRsharing.81dw2c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniSTS was a database of sequence tagged sites (STSs), derived from STS-based maps and other experiments. All data from this resource have been moved to the Probe database. You can retrieve all UniSTS records by searching the probe database using the search term \"unists[properties]\". Additionally, legacy data remain on the NCBI FTP Site in the UniSTS Repository (ftp://ftp.ncbi.nih.gov/pub/ProbeDB/legacy_unists). If you have any specific questions, please feel free to contact us at info@ncbi.nlm.nih.gov","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Protein","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":460,"pubmed_id":12519941,"title":"Database resources of the National Center for Biotechnology.","year":2003,"url":"http://doi.org/10.1093/nar/gkg033","authors":"Wheeler DL., Church DM., Federhen S., Lash AE., Madden TL., Pontius JU., Schuler GD., Schriml LM., Sequeira E., Tatusova TA., Wagner L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg033","created_at":"2021-09-30T08:23:09.975Z","updated_at":"2021-09-30T08:23:09.975Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1697,"relation":"undefined"}],"grants":[{"id":1365,"fairsharing_record_id":1994,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.148Z","updated_at":"2021-09-30T09:25:04.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1995","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:18.942Z","metadata":{"doi":"10.25504/FAIRsharing.p4dtt2","name":"UniVec","status":"ready","contacts":[{"contact_name":"David L. Wheeler","contact_email":"wheeler@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/VecScreen/UniVec.html","identifier":1995,"description":"UniVec is a database that can be used to quickly identify segments within nucleic acid sequences which may be of vector origin (vector contamination). In addition to vector sequences, UniVec also contains sequences for those adapters, linkers, and primers commonly used in the process of cloning cDNA or genomic DNA.","abbreviation":"UniVec","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/tools/vecscreen/univec/","type":"automated"},"support_links":[{"url":"info@ncbi.nlm.nih.gov","type":"Support email"},{"url":"http://www.ncbi.nlm.nih.gov/VecScreen/UniVec.html","type":"Help documentation"}],"year_creation":2002,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000461","bsg-d000461"],"name":"FAIRsharing record for: UniVec","abbreviation":"UniVec","url":"https://fairsharing.org/10.25504/FAIRsharing.p4dtt2","doi":"10.25504/FAIRsharing.p4dtt2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniVec is a database that can be used to quickly identify segments within nucleic acid sequences which may be of vector origin (vector contamination). In addition to vector sequences, UniVec also contains sequences for those adapters, linkers, and primers commonly used in the process of cloning cDNA or genomic DNA.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Complementary DNA","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":460,"pubmed_id":12519941,"title":"Database resources of the National Center for Biotechnology.","year":2003,"url":"http://doi.org/10.1093/nar/gkg033","authors":"Wheeler DL., Church DM., Federhen S., Lash AE., Madden TL., Pontius JU., Schuler GD., Schriml LM., Sequeira E., Tatusova TA., Wagner L.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg033","created_at":"2021-09-30T08:23:09.975Z","updated_at":"2021-09-30T08:23:09.975Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":342,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":346,"relation":"undefined"}],"grants":[{"id":1366,"fairsharing_record_id":1995,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.178Z","updated_at":"2021-09-30T09:25:04.178Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1983","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:38.603Z","metadata":{"doi":"10.25504/FAIRsharing.5h3maw","name":"NCBI Gene","status":"ready","contacts":[{"contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/gene","identifier":1983,"description":"Gene supplies gene-specific connections in the nexus of map, sequence, expression, structure, function, citation, and homology data. Unique identifiers are assigned to genes with defining sequences, genes with known map positions, and genes inferred from phenotypic information. These gene identifiers are used throughout NCBI's databases and tracked through updates of annotation. Gene includes genomes represented by NCBI Reference Sequences (or RefSeqs) and is integrated for indexing and query and retrieval from NCBI's Entrez and E-Utilities systems. Gene comprises sequences from thousands of distinct taxonomic identifiers, ranging from viruses to bacteria to eukaryotes. It represents chromosomes, organelles, plasmids, viruses, transcripts, and millions of proteins.","abbreviation":"NCBI Gene","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/books/NBK3840/","name":"NCBI Gene FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK3841/","name":"NCBI Gene Quick Start","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/mailman/listinfo/refseq-announce","name":"RefSeq Announce Mailing List","type":"Mailing list"},{"url":"https://www.ncbi.nlm.nih.gov/gene/statistics/","name":"Statistics","type":"Help documentation"},{"url":"https://ftp.ncbi.nih.gov/pub/factsheets/Factsheet_Gene.pdf","name":"Fact Sheet","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/feed/rss.cgi?ChanKey=genenews","name":"RSS News Feed","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/docker-tutorial-gene-regulation","name":"Docker tutorial gene regulation","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/bioinformatics-gene-protein-structure-function","name":"Bioinformatics gene protein structure function","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/ifb-cloud-tutorial-gene-regulation","name":"Ifb cloud tutorial gene regulation","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/snakemake-tutorial-gene-regulation","name":"Snakemake tutorial gene regulation","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pathway-and-network-analysis-2014-module-6-gene-function-prediction","name":"Pathway and network analysis 2014 module 6 gene function prediction","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pathway-and-network-analysis-2014-module-3-gene-regulation-analysis","name":"Pathway and network analysis 2014 module 3 gene regulation analysis","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/pathway-and-network-analysis-2014-module-1-introduction-to-gene-lists","name":"Pathway and network analysis 2014 module 1 introduction to gene lists","type":"TeSS links to training materials"}],"data_versioning":"yes","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/sutils/splign/splign.cgi","name":"Splign"},{"url":"https://www.ncbi.nlm.nih.gov/tools/gbench/","name":"Genome Workbench"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010650","name":"re3data:r3d100010650","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002473","name":"SciCrunch:RRID:SCR_002473","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000449","bsg-d000449"],"name":"FAIRsharing record for: NCBI Gene","abbreviation":"NCBI Gene","url":"https://fairsharing.org/10.25504/FAIRsharing.5h3maw","doi":"10.25504/FAIRsharing.5h3maw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene supplies gene-specific connections in the nexus of map, sequence, expression, structure, function, citation, and homology data. Unique identifiers are assigned to genes with defining sequences, genes with known map positions, and genes inferred from phenotypic information. These gene identifiers are used throughout NCBI's databases and tracked through updates of annotation. Gene includes genomes represented by NCBI Reference Sequences (or RefSeqs) and is integrated for indexing and query and retrieval from NCBI's Entrez and E-Utilities systems. Gene comprises sequences from thousands of distinct taxonomic identifiers, ranging from viruses to bacteria to eukaryotes. It represents chromosomes, organelles, plasmids, viruses, transcripts, and millions of proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics"],"domains":["Molecular structure","Expression data","DNA sequence data","Deoxyribonucleic acid","Chromosome","Gene expression","Organelle","Plasmid","Phenotype","Structure","Protein","Transcript","Gene","Homologous","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":475,"pubmed_id":15608257,"title":"Entrez Gene: gene-centered information at NCBI.","year":2004,"url":"http://doi.org/10.1093/nar/gki031","authors":"Maglott D., Ostell J., Pruitt KD., Tatusova T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki031","created_at":"2021-09-30T08:23:11.618Z","updated_at":"2021-09-30T08:23:11.618Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2387,"relation":"undefined"}],"grants":[{"id":1348,"fairsharing_record_id":1983,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.562Z","updated_at":"2021-09-30T09:25:03.562Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1347,"fairsharing_record_id":1983,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.530Z","updated_at":"2021-09-30T09:25:03.530Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1986","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:25:43.584Z","metadata":{"doi":"10.25504/FAIRsharing.b5ann2","name":"Plant Genome Central","status":"deprecated","contacts":[{"contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/genomes/PLANTS/PlantList.html","identifier":1986,"description":"The list of plant sequencing projects in this page includes those that have reached the stage where active sequence determination is currently producing, or is expected to produce in the near future, GenBank accessions toward the goal of determining the sequence of that plant genome.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/PLANTS/PGC-word.pdf","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/blast/Blast.cgi?PAGE_TYPE=BlastSearch\u0026PROG_DEF=blastn\u0026BLAST_PROG_DEF=megaBlast\u0026BLAST_SPEC=Plants_MV\u0026DATABASE=Plants/Mapped_DNA_sequences_from_all_listed_plants","name":"BLAST"}],"deprecation_date":"2015-07-14","deprecation_reason":"This resource is now obsolete. Information on annotated plant genomes can be found at http://www.ncbi.nlm.nih.gov/genome/annotation_euk/all/","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000452","bsg-d000452"],"name":"FAIRsharing record for: Plant Genome Central","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.b5ann2","doi":"10.25504/FAIRsharing.b5ann2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The list of plant sequencing projects in this page includes those that have reached the stage where active sequence determination is currently producing, or is expected to produce in the near future, GenBank accessions toward the goal of determining the sequence of that plant genome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1300,"relation":"undefined"}],"grants":[{"id":1352,"fairsharing_record_id":1986,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.709Z","updated_at":"2021-09-30T09:25:03.709Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1353,"fairsharing_record_id":1986,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.745Z","updated_at":"2021-09-30T09:25:03.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1988","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:40:44.640Z","metadata":{"doi":"10.25504/FAIRsharing.da493y","name":"NCBI Protein Clusters Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/proteinclusters","citations":[{"doi":"10.1093/nar/gkn734","pubmed_id":18940865,"publication_id":462}],"identifier":1988,"description":"ProtClustDB is a collection of related protein sequences (clusters) consisting of Reference Sequence proteins encoded by complete genomes. This database contains both curated and non-curated clusters.","abbreviation":"ProtClustDB","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/proteinclusters/help/","type":"manual"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/proteinclusters/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3797/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/genomes/prokhits.cgi","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010784","name":"re3data:r3d100010784","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003459","name":"SciCrunch:RRID:SCR_003459","portal":"SciCrunch"}],"data_access_condition":{"url":"https://ftp.ncbi.nih.gov/genomes/CLUSTERS/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000454","bsg-d000454"],"name":"FAIRsharing record for: NCBI Protein Clusters Database","abbreviation":"ProtClustDB","url":"https://fairsharing.org/10.25504/FAIRsharing.da493y","doi":"10.25504/FAIRsharing.da493y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProtClustDB is a collection of related protein sequences (clusters) consisting of Reference Sequence proteins encoded by complete genomes. This database contains both curated and non-curated clusters.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12669}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Life Science"],"domains":["Molecular structure","Structure","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":462,"pubmed_id":18940865,"title":"The National Center for Biotechnology Information's Protein Clusters Database.","year":2009,"url":"http://doi.org/10.1093/nar/gkn734","authors":"Klimke W., Agarwala R., Badretdin A., Chetvernin S., Ciufo S., Fedorov B., Kiryutin B., O'Neill K., Resch W., Resenchuk S., Schafer S., Tolstoy I., Tatusova T.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn734","created_at":"2021-09-30T08:23:10.235Z","updated_at":"2023-06-01T07:37:06.903Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":623,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":627,"relation":"undefined"}],"grants":[{"id":1355,"fairsharing_record_id":1988,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.821Z","updated_at":"2021-09-30T09:25:03.821Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1356,"fairsharing_record_id":1988,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.858Z","updated_at":"2021-09-30T09:25:03.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1991","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:43.622Z","metadata":{"doi":"10.25504/FAIRsharing.4jg0qw","name":"Reference Sequence Database","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/RefSeq/","identifier":1991,"description":"The Reference Sequence (RefSeq) collection aims to provide a comprehensive, integrated, non-redundant, well-annotated set of sequences, including genomic DNA, transcripts, and proteins.","abbreviation":"RefSeq","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/refseq/about/","type":"manual/automated","notes":"RefSeq transcript and protein records are generated by several processes including Genome Annotation Pipelines and manual curation."},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/books/NBK50679/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK21091/","type":"Help documentation"}],"year_creation":1999,"data_versioning":"yes","associated_tools":[{"url":"http://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=MegaBlast\u0026PROGRAM=blastn\u0026BLAST_PROGRAMS=megaBlast\u0026PAGE_TYPE=BlastSearch\u0026SHOW_DEFAULTS=on\u0026BLAST_SPEC=RefseqGene","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010285","name":"re3data:r3d100010285","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003496","name":"SciCrunch:RRID:SCR_003496","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000457","bsg-d000457"],"name":"FAIRsharing record for: Reference Sequence Database","abbreviation":"RefSeq","url":"https://fairsharing.org/10.25504/FAIRsharing.4jg0qw","doi":"10.25504/FAIRsharing.4jg0qw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Reference Sequence (RefSeq) collection aims to provide a comprehensive, integrated, non-redundant, well-annotated set of sequences, including genomic DNA, transcripts, and proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Computational Biology","Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Sequencing","Protein","Transcript","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":459,"pubmed_id":17130148,"title":"NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins.","year":2006,"url":"http://doi.org/10.1093/nar/gkl842","authors":"Pruitt KD., Tatusova T., Maglott DR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl842","created_at":"2021-09-30T08:23:09.867Z","updated_at":"2021-09-30T08:23:09.867Z"},{"id":1609,"pubmed_id":null,"title":"NCBI’s LocusLink and RefSeq","year":2000,"url":"https://doi.org/10.1093/nar/28.1.126","authors":"Maglott DR, Katz KS, Sicotte H, and Pruitta KD","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:25:20.357Z","updated_at":"2021-09-30T11:28:41.165Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":449,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":448,"relation":"undefined"},{"licence_name":"RefSeq Attribution required","licence_id":705,"licence_url":"https://www.ncbi.nlm.nih.gov/books/NBK50679/#RefSeqFAQ.how_do_i_cite_the_refseq_proje","link_id":447,"relation":"undefined"}],"grants":[{"id":1361,"fairsharing_record_id":1991,"organisation_id":1955,"relation":"funds","created_at":"2021-09-30T09:25:04.018Z","updated_at":"2021-09-30T09:25:04.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1362,"fairsharing_record_id":1991,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.044Z","updated_at":"2021-09-30T09:25:04.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1992","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T10:55:00.943Z","metadata":{"doi":"10.25504/FAIRsharing.9sef2s","name":"SKY/M-FISH and CGH","status":"deprecated","contacts":[{"contact_name":"Turid Knutsen","contact_email":"knutsent@mail.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/sky/","identifier":1992,"description":"The goal of the SKY/M-FISH and CGH database is to provide a public platform for investigators to share and compare their molecular cytogenetic data.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"pubmedcentral@ncbi.nlm.nih.gov","type":"Support email"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2016-12-16","deprecation_reason":"This resource has been retired and the data therein will be made available from the dbVar database (https://biosharing.org/biodbcore-000463).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000458","bsg-d000458"],"name":"FAIRsharing record for: SKY/M-FISH and CGH","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9sef2s","doi":"10.25504/FAIRsharing.9sef2s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the SKY/M-FISH and CGH database is to provide a public platform for investigators to share and compare their molecular cytogenetic data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Molecular structure","Cytogenetic map","Chromosome","Structure"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":61,"pubmed_id":15934046,"title":"The interactive online SKY/M-FISH \u0026 CGH database and the Entrez cancer chromosomes search database: linkage of chromosomal aberrations with the genome sequence.","year":2005,"url":"http://doi.org/10.1002/gcc.20224","authors":"Knutsen T., Gobu V., Knaus R., Padilla-Nash H., Augustus M., Strausberg RL., Kirsch IR., Sirotkin K., Ried T.,","journal":"Genes Chromosomes Cancer","doi":"10.1002/gcc.20224","created_at":"2021-09-30T08:22:26.863Z","updated_at":"2021-09-30T08:22:26.863Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1446,"relation":"undefined"}],"grants":[{"id":1363,"fairsharing_record_id":1992,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.068Z","updated_at":"2021-09-30T09:25:04.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1989","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:16:28.101Z","metadata":{"doi":"10.25504/FAIRsharing.qt3w7z","name":"PubChem","status":"ready","contacts":[{"contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"https://pubchem.ncbi.nlm.nih.gov/","citations":[{"doi":"10.1093/nar/gkac956","pubmed_id":null,"publication_id":4271}],"identifier":1989,"description":"PubChem is the world's largest collection of freely accessible chemical information. Searches can be performed via a number of descriptors such as name, molecular formula and structure. Information is provided for chemical and physical properties, biological activities, safety and toxicity information, patents, literature citations and more. PubChem is organized as three linked databases within the NCBI's Entrez information retrieval system. These are PubChem Substance, PubChem Compound, and PubChem BioAssay. PubChem also provides a fast chemical structure similarity search tool. ","abbreviation":"PubChem","data_curation":{"url":"https://pubchem.ncbi.nlm.nih.gov/docs/upload-chemicals#section=Choose-Input-Method","type":"manual/automated","notes":"Manual template uploads; includes programmatic automation"},"support_links":[{"url":"https://pubchemdocs.ncbi.nlm.nih.gov/about","name":"Help","type":"Help documentation"},{"url":"https://pubchemdocs.ncbi.nlm.nih.gov/pathways","name":"Documentation on retirement of NCBI BioSystems Database","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"https://pubchem.ncbi.nlm.nih.gov/standardize/standardize.cgi","name":"PubChem Standardization Service"},{"url":"https://pubchem.ncbi.nlm.nih.gov/vw3d/vw3d.cgi","name":"PubChem3D Viewer v2.0"},{"url":"https://pubchem.ncbi.nlm.nih.gov/idexchange/idexchange.cgi","name":"PubChem Identifier Exchange Service"},{"url":"https://pubchem.ncbi.nlm.nih.gov/score_matrix/score_matrix.cgi","name":"PubChem Score Matrix Service"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010129","name":"re3data:r3d100010129","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010578","name":"SciCrunch:RRID:SCR_010578","portal":"SciCrunch"}],"data_access_condition":{"url":"https://pubchem.ncbi.nlm.nih.gov/docs/downloads","type":"partially open"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html","name":"NIH-Supported Data Sharing Resource (sustained support)"},"data_contact_information":"no","data_preservation_policy":{"url":"https://pubchem.ncbi.nlm.nih.gov/sources/","name":"PubChem Archive"},"data_deposition_condition":{"url":"https://pubchem.ncbi.nlm.nih.gov/docs/submissions","type":"controlled","notes":"Data Submission Policy"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000455","bsg-d000455"],"name":"FAIRsharing record for: PubChem","abbreviation":"PubChem","url":"https://fairsharing.org/10.25504/FAIRsharing.qt3w7z","doi":"10.25504/FAIRsharing.qt3w7z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PubChem is the world's largest collection of freely accessible chemical information. Searches can be performed via a number of descriptors such as name, molecular formula and structure. Information is provided for chemical and physical properties, biological activities, safety and toxicity information, patents, literature citations and more. PubChem is organized as three linked databases within the NCBI's Entrez information retrieval system. These are PubChem Substance, PubChem Compound, and PubChem BioAssay. PubChem also provides a fast chemical structure similarity search tool. ","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10776},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10861},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10952},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11070},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12312},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12670}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Virology","Epidemiology"],"domains":["Molecular structure","Small molecule","Assay","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":2866,"pubmed_id":20970519,"title":"PubChem as a public resource for drug discovery.","year":2010,"url":"http://doi.org/10.1016/j.drudis.2010.10.003","authors":"Li Q,Cheng T,Wang Y,Bryant SH","journal":"Drug Discov Today","doi":"10.1016/j.drudis.2010.10.003","created_at":"2021-09-30T08:27:52.764Z","updated_at":"2021-09-30T08:27:52.764Z"},{"id":2867,"pubmed_id":19498078,"title":"PubChem: a public information system for analyzing bioactivities of small molecules.","year":2009,"url":"http://doi.org/10.1093/nar/gkp456","authors":"Wang Y,Xiao J,Suzek TO,Zhang J,Wang J,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp456","created_at":"2021-09-30T08:27:52.918Z","updated_at":"2021-09-30T11:29:47.687Z"},{"id":2902,"pubmed_id":17170002,"title":"Database resources of the National Center for Biotechnology Information.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1031","authors":"Wheeler DL. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1031","created_at":"2021-09-30T08:27:57.365Z","updated_at":"2021-09-30T08:27:57.365Z"},{"id":2907,"pubmed_id":30371825,"title":"PubChem 2019 update: improved access to chemical data.","year":2018,"url":"http://doi.org/10.1093/nar/gky1033","authors":"Kim S,Chen J,Cheng T,Gindulyte A,He J,He S,Li Q,Shoemaker BA,Thiessen PA,Yu B,Zaslavsky L,Zhang J,Bolton EE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1033","created_at":"2021-09-30T08:27:57.955Z","updated_at":"2021-09-30T11:29:48.480Z"},{"id":2911,"pubmed_id":27899599,"title":"PubChem BioAssay: 2017 update.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1118","authors":"Wang Y,Bryant SH,Cheng T,Wang J,Gindulyte A,Shoemaker BA,Thiessen PA,He S,Zhang J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1118","created_at":"2021-09-30T08:27:58.455Z","updated_at":"2021-09-30T11:29:48.579Z"},{"id":2912,"pubmed_id":24198245,"title":"PubChem BioAssay: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt978","authors":"Wang Y,Suzek T,Zhang J,Wang J,He S,Cheng T,Shoemaker BA,Gindulyte A,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt978","created_at":"2021-09-30T08:27:58.687Z","updated_at":"2021-09-30T11:29:48.679Z"},{"id":2917,"pubmed_id":22140110,"title":"PubChem's BioAssay Database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1132","authors":"Wang Y,Xiao J,Suzek TO,Zhang J,Wang J,Zhou Z,Han L,Karapetyan K,Dracheva S,Shoemaker BA,Bolton E,Gindulyte A,Bryant SH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1132","created_at":"2021-09-30T08:27:59.229Z","updated_at":"2021-09-30T11:29:48.870Z"},{"id":3255,"pubmed_id":null,"title":"PubChem in 2021: new data content and improved web interfaces","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa971","authors":"Kim, Sunghwan; Chen, Jie; Cheng, Tiejun; Gindulyte, Asta; He, Jia; He, Siqian; Li, Qingliang; Shoemaker, Benjamin A; Thiessen, Paul A; Yu, Bo; Zaslavsky, Leonid; Zhang, Jian; Bolton, Evan E; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa971","created_at":"2022-03-14T14:29:03.185Z","updated_at":"2022-03-14T14:29:03.185Z"},{"id":4271,"pubmed_id":null,"title":"PubChem 2023 update","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac956","authors":"Kim, Sunghwan; Chen, Jie; Cheng, Tiejun; Gindulyte, Asta; He, Jia; He, Siqian; Li, Qingliang; Shoemaker, Benjamin A; Thiessen, Paul A; Yu, Bo; Zaslavsky, Leonid; Zhang, Jian; Bolton, Evan E; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac956","created_at":"2024-05-01T15:12:44.604Z","updated_at":"2024-05-01T15:12:44.604Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":1628,"relation":"applies_to_content"}],"grants":[{"id":1358,"fairsharing_record_id":1989,"organisation_id":2170,"relation":"funds","created_at":"2021-09-30T09:25:03.928Z","updated_at":"2021-09-30T09:25:03.928Z","grant_id":null,"is_lead":false,"saved_state":{"id":2170,"name":"NLM Intramural Research Program, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1357,"fairsharing_record_id":1989,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.897Z","updated_at":"2022-03-14T14:29:19.456Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBadz09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--8fae80bf5acc5e16154e1ffbf9b418dfdcd8e936/pubchem.png?disposition=inline","exhaustive_licences":false}},{"id":"1996","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:45:11.713Z","metadata":{"doi":"10.25504/FAIRsharing.88v2k0","name":"Database of Genotypes and Phenotypes","status":"ready","contacts":[{"contact_name":"dbGaP Helpdesk","contact_email":"dbgap-help@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/gap/","identifier":1996,"description":"The Database of Genotypes and Phenotypes (dbGaP) archives and distributes the results of studies that have investigated the interaction of genotype and phenotype. Such studies include genome-wide association studies, medical sequencing, molecular diagnostic assays, as well as association between genotype and non-clinical traits.","abbreviation":"dbGaP","data_curation":{"type":"not found"},"support_links":[{"url":"https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?page=email\u0026from=login","name":"Contact Form","type":"Contact form"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK117240","name":"GaP FAQ Archive","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/tutorial/dbGaP_demo_1.htm","name":"dbGaP Tutorial","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/summaries/cgi-bin/userWorldMap.cgi","name":"Summary Statistics","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/feed/rss.cgi?ChanKey=dbGaPnews","name":"News Feed","type":"Blog/News"}],"data_versioning":"no","associated_tools":[{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/Software.cgi","name":"Available Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010788","name":"re3data:r3d100010788","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002709","name":"SciCrunch:RRID:SCR_002709","portal":"SciCrunch"}],"data_access_condition":{"url":"https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?page=login","type":"open","notes":"Request and download individual level data required login to the management portal."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/GetPdf.cgi?document_name=HowToSubmit.pdf","type":"controlled","notes":"The study must be registred prior to data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000462","bsg-d000462"],"name":"FAIRsharing record for: Database of Genotypes and Phenotypes","abbreviation":"dbGaP","url":"https://fairsharing.org/10.25504/FAIRsharing.88v2k0","doi":"10.25504/FAIRsharing.88v2k0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Genotypes and Phenotypes (dbGaP) archives and distributes the results of studies that have investigated the interaction of genotype and phenotype. Such studies include genome-wide association studies, medical sequencing, molecular diagnostic assays, as well as association between genotype and non-clinical traits.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10777},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10953},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11071},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12672}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenetics","Genetics","Biomedical Science"],"domains":["Expression data","Genetic polymorphism","Phenotype","Genome-wide association study","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Non-clinical trial"],"countries":["United States"],"publications":[{"id":457,"pubmed_id":17898773,"title":"The NCBI dbGaP database of genotypes and phenotypes.","year":2007,"url":"http://doi.org/10.1038/ng1007-1181","authors":"Mailman MD., Feolo M., Jin Y. et al.","journal":"Nat. Genet.","doi":"10.1038/ng1007-1181","created_at":"2021-09-30T08:23:09.608Z","updated_at":"2021-09-30T08:23:09.608Z"},{"id":641,"pubmed_id":24297256,"title":"NCBI's Database of Genotypes and Phenotypes: dbGaP.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1211","authors":"Tryka KA, Hao L, Sturcke A, Jin Y, Wang ZY, Ziyabari L, Lee M, Popova N, Sharopova N, Kimura M, Feolo M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1211","created_at":"2021-09-30T08:23:30.560Z","updated_at":"2021-09-30T08:23:30.560Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2388,"relation":"undefined"}],"grants":[{"id":1367,"fairsharing_record_id":1996,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.203Z","updated_at":"2021-09-30T09:25:04.203Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1368,"fairsharing_record_id":1996,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:04.226Z","updated_at":"2021-09-30T09:25:04.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1997","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T14:15:21.737Z","metadata":{"doi":"10.25504/FAIRsharing.ktafj3","name":"Database of genomic structural VARiation","status":"ready","contacts":[],"homepage":"https://www.ncbi.nlm.nih.gov/dbvar/","citations":[],"identifier":1997,"description":"dbVar is a database of human genomic structural variation where users can search, view, and download data from submitted studies. dbVar stopped supporting data from non-human organisms in 2017, however existing non-human data remains available. In keeping with the common definition of structural variation, most variants are larger than 50 basepairs in length - however a handful of smaller variants may also be found. dbVar provides access to the raw data whenever available, as well as links to additional resources, from both NCBI and elsewhere. It can accept diverse types of events, including inversions, insertions and translocations. Additionally, both germline and somatic variants are accepted.","abbreviation":"dbVar","data_curation":{"type":"none"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/dbvar/content/help/","name":"Help and FAQ","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/dbvar/content/overview/","name":"Overview of Structural Variation","type":"Help documentation"},{"url":"https://ftp.ncbi.nlm.nih.gov/pub/factsheets/Factsheet_dbVar.pdf","name":"Factsheet (PDF)","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/feed/rss.cgi?ChanKey=dbvarnews","name":"dbVar News Feed","type":"Blog/News"}],"year_creation":2010,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010786","name":"re3data:r3d100010786","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003219","name":"SciCrunch:RRID:SCR_003219","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/dbvar/content/submission/","type":"controlled","notes":"Data must be deposited in a public database prior to submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000463","bsg-d000463"],"name":"FAIRsharing record for: Database of genomic structural VARiation","abbreviation":"dbVar","url":"https://fairsharing.org/10.25504/FAIRsharing.ktafj3","doi":"10.25504/FAIRsharing.ktafj3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dbVar is a database of human genomic structural variation where users can search, view, and download data from submitted studies. dbVar stopped supporting data from non-human organisms in 2017, however existing non-human data remains available. In keeping with the common definition of structural variation, most variants are larger than 50 basepairs in length - however a handful of smaller variants may also be found. dbVar provides access to the raw data whenever available, as well as links to additional resources, from both NCBI and elsewhere. It can accept diverse types of events, including inversions, insertions and translocations. Additionally, both germline and somatic variants are accepted.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10778},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10954},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11072}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Structural Biology","Structural Genomics","Biomedical Science"],"domains":["DNA structural variation","Genetic polymorphism","Insertion","Genome","Chromatin structure variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":476,"pubmed_id":23193291,"title":"DbVar and DGVa: public archives for genomic structural variation.","year":2012,"url":"http://doi.org/10.1093/nar/gks1213","authors":"Lappalainen I., Lopez J., Skipper L., Hefferon T., Spalding JD., Garner J., Chen C., Maguire M., Corbett M., Zhou G., Paschall J., Ananiev V., Flicek P., Church DM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1213.","created_at":"2021-09-30T08:23:11.726Z","updated_at":"2021-09-30T08:23:11.726Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2389,"relation":"undefined"}],"grants":[{"id":1369,"fairsharing_record_id":1997,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:04.252Z","updated_at":"2021-09-30T09:25:04.252Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1990","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:22.691Z","metadata":{"doi":"10.25504/FAIRsharing.a5sv8m","name":"PubMed","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/pubmed/","citations":[],"identifier":1990,"description":"PubMed is a search engine of biomedical literature, provided as a service of the U.S. National Library of Medicine and includes more than 25 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.","abbreviation":"PubMed","data_curation":{"type":"none"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3827/#pubmedhelp.FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/books/NBK3827/#pubmedhelp.PubMed_Quick_Start","type":"Help documentation"},{"url":"https://learn.nlm.nih.gov/rest/training-packets/T0042010P.html","type":"Training documentation"}],"year_creation":1996,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000456","bsg-d000456"],"name":"FAIRsharing record for: PubMed","abbreviation":"PubMed","url":"https://fairsharing.org/10.25504/FAIRsharing.a5sv8m","doi":"10.25504/FAIRsharing.a5sv8m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PubMed is a search engine of biomedical literature, provided as a service of the U.S. National Library of Medicine and includes more than 25 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Traditional Medicine","Earth Science","Life Science","Biomedical Science"],"domains":["Bibliography","Behavior"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1022,"pubmed_id":16381840,"title":"Database resources of the National Center for Biotechnology Information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj158","authors":"Barrett T., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj158","created_at":"2021-09-30T08:24:13.181Z","updated_at":"2021-09-30T08:24:13.181Z"}],"licence_links":[{"licence_name":"NLM Copyright Information","licence_id":592,"licence_url":"https://www.nlm.nih.gov/web_policies.html#copyright","link_id":530,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":539,"relation":"undefined"}],"grants":[{"id":1360,"fairsharing_record_id":1990,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:03.995Z","updated_at":"2021-09-30T09:25:03.995Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1359,"fairsharing_record_id":1990,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:03.962Z","updated_at":"2021-09-30T09:25:03.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2006","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:41.988Z","metadata":{"doi":"10.25504/FAIRsharing.v2f7t2","name":"Drug Adverse Reaction Target","status":"deprecated","contacts":[{"contact_name":"Dr. Chen Yuzong","contact_email":"yzchen@cz3.nus.edu.sg"}],"homepage":"http://bidd.nus.edu.sg/group/drt/dart.asp","identifier":2006,"description":"A database for facilitating the search for drug adverse reaction target. DART contains information about known drug adverse reaction targets, functions and properties.","abbreviation":"DART","data_curation":{"type":"not found"},"support_links":[{"url":"http://bidd.cz3.nus.edu.sg/TTDtanimoto/","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2016-03-16","deprecation_reason":"This resource is no longer maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000472","bsg-d000472"],"name":"FAIRsharing record for: Drug Adverse Reaction Target","abbreviation":"DART","url":"https://fairsharing.org/10.25504/FAIRsharing.v2f7t2","doi":"10.25504/FAIRsharing.v2f7t2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database for facilitating the search for drug adverse reaction target. DART contains information about known drug adverse reaction targets, functions and properties.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Deoxyribonucleic acid","Adverse Reaction","Drug interaction","Disease","Protein","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug target in DNA network"],"countries":["Singapore"],"publications":[{"id":479,"pubmed_id":12862503,"title":"Drug Adverse Reaction Target Database (DART) : proteins related to adverse drug reactions.","year":2003,"url":"http://doi.org/10.2165/00002018-200326100-00002","authors":"Ji ZL., Han LY., Yap CW., Sun LZ., Chen X., Chen YZ.,","journal":"Drug Saf","doi":"10.2165/00002018-200326100-00002","created_at":"2021-09-30T08:23:12.050Z","updated_at":"2021-09-30T08:23:12.050Z"}],"licence_links":[],"grants":[{"id":1379,"fairsharing_record_id":2006,"organisation_id":2085,"relation":"maintains","created_at":"2021-09-30T09:25:04.552Z","updated_at":"2021-09-30T09:25:04.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":2085,"name":"National University of Singapore, Singapore","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2007","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:21:15.827Z","metadata":{"doi":"10.25504/FAIRsharing.znjr4p","name":"Tumor Associated Gene database","status":"ready","contacts":[{"contact_name":"H. Sunny Sun","contact_email":"hssun@mail.ncku.edu.tw"}],"homepage":"http://www.binfo.ncku.edu.tw/TAG/GeneDoc.php","identifier":2007,"description":"The tumor-associated gene (TAG) database was designed to utilize information from well-characterized oncogenes and tumor suppressor genes to facilitate cancer research. All target genes were identified through text-mining approach from the PubMed database.","abbreviation":"TAG","data_curation":{"type":"not found"},"support_links":[{"url":"em61330@email.ncku.edu.tw","type":"Support email"},{"url":"http://carpedb.ua.edu/searchinstruct.cfm","type":"Help documentation"},{"url":"http://www.binfo.ncku.edu.tw/TAG/WeightDoc.html","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000473","bsg-d000473"],"name":"FAIRsharing record for: Tumor Associated Gene database","abbreviation":"TAG","url":"https://fairsharing.org/10.25504/FAIRsharing.znjr4p","doi":"10.25504/FAIRsharing.znjr4p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The tumor-associated gene (TAG) database was designed to utilize information from well-characterized oncogenes and tumor suppressor genes to facilitate cancer research. All target genes were identified through text-mining approach from the PubMed database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Biomedical Science"],"domains":["Text mining","Cancer","Tumor","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":466,"pubmed_id":23267173,"title":"In silico identification of oncogenic potential of fyn-related kinase in hepatocellular carcinoma.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts715","authors":"Chen JS., Hung WS., Chan HH., Tsai SJ., Sun HS.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts715","created_at":"2021-09-30T08:23:10.659Z","updated_at":"2021-09-30T08:23:10.659Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":588,"relation":"undefined"}],"grants":[{"id":1380,"fairsharing_record_id":2007,"organisation_id":1977,"relation":"maintains","created_at":"2021-09-30T09:25:04.583Z","updated_at":"2021-09-30T09:25:04.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":1977,"name":"National Cheng Kung University (NCKU) Bioinformatics Center, Tainan, Taiwan","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2008","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:19:24.268Z","metadata":{"doi":"10.25504/FAIRsharing.anxkvb","name":"SpliceInfo","status":"deprecated","contacts":[{"contact_name":"Jorng-Tzong Horng","contact_email":"horng@db.csie.ncu.edu.tw"}],"homepage":"http://spliceinfo.mbc.nctu.edu.tw/","identifier":2008,"description":"The database provides a means of investigating alternative splicing and can be used for identifying alternative splicing - related motifs, such as the exonic splicing enhancer (ESE), the exonic splicing silencer (ESS) and other intronic splicing motifs. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"SpliceInfo","data_curation":{"type":"not found"},"support_links":[{"url":"bryan@mail.NCTU.edu.tw","type":"Support email"},{"url":"http://spliceinfo.mbc.nctu.edu.tw/docs/SpliceInfo_NAR_03.pdf","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000474","bsg-d000474"],"name":"FAIRsharing record for: SpliceInfo","abbreviation":"SpliceInfo","url":"https://fairsharing.org/10.25504/FAIRsharing.anxkvb","doi":"10.25504/FAIRsharing.anxkvb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database provides a means of investigating alternative splicing and can be used for identifying alternative splicing - related motifs, such as the exonic splicing enhancer (ESE), the exonic splicing silencer (ESS) and other intronic splicing motifs. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Enhancer","Alternative splicing","Gene regulatory element","Gene","Sequence motif","Regulatory region"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Viruses"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":838,"pubmed_id":15608290,"title":"SpliceInfo: an information repository for mRNA alternative splicing in human genome.","year":2004,"url":"http://doi.org/10.1093/nar/gki129","authors":"Huang HD., Horng JT., Lin FM., Chang YC., Huang CC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki129","created_at":"2021-09-30T08:23:52.488Z","updated_at":"2021-09-30T08:23:52.488Z"}],"licence_links":[],"grants":[{"id":8161,"fairsharing_record_id":2008,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:16.215Z","updated_at":"2021-09-30T09:31:16.266Z","grant_id":1095,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"NSC 93-2213-E-008-024","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1382,"fairsharing_record_id":2008,"organisation_id":1978,"relation":"maintains","created_at":"2021-09-30T09:25:04.667Z","updated_at":"2021-09-30T09:25:04.667Z","grant_id":null,"is_lead":false,"saved_state":{"id":1978,"name":"National Chiao Tung University, Hsinchu City, Taiwan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1381,"fairsharing_record_id":2008,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:25:04.624Z","updated_at":"2021-09-30T09:31:14.000Z","grant_id":1077,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"NSC-93-2213-E-009-075","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2009","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:34.969Z","metadata":{"doi":"10.25504/FAIRsharing.9sb9qh","name":"Restriction enzymes and methylases database","status":"ready","contacts":[{"contact_name":"Dana Macelis","contact_email":"macelis@neb.com"}],"homepage":"http://rebase.neb.com/rebase/rebase.html","citations":[],"identifier":2009,"description":"A collection of information about restriction enzymes and related proteins. It contains published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data.","abbreviation":"REBASE","data_curation":{"type":"manual"},"support_links":[{"url":"http://rebase.neb.com/rebase/rebstaff.html","type":"Contact form"},{"url":"macelis@neb.com","type":"Support email"},{"url":"http://rebase.neb.com/rebase/rebhelp.html","type":"Help documentation"}],"year_creation":1994,"data_versioning":"yes","associated_tools":[{"url":"http://nc2.neb.com/NEBcutter2/","name":"NEBcutter 2.0"},{"url":"http://tools.neb.com/REBsites/","name":"REBsites"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012171","name":"re3data:r3d100012171","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007886","name":"SciCrunch:RRID:SCR_007886","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://rebase.neb.com/rebase/rebase.submit.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000475","bsg-d000475"],"name":"FAIRsharing record for: Restriction enzymes and methylases database","abbreviation":"REBASE","url":"https://fairsharing.org/10.25504/FAIRsharing.9sb9qh","doi":"10.25504/FAIRsharing.9sb9qh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A collection of information about restriction enzymes and related proteins. It contains published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Molecular structure","Deoxyribonucleic acid","Ribonucleic acid","Small molecule","Enzyme","Structure","Protein","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":461,"pubmed_id":25378308,"title":"REBASE-a database for DNA restriction and modification: enzymes, genes and genomes.","year":2014,"url":"http://doi.org/10.1093/nar/gku1046","authors":"Roberts RJ., Vincze T., Posfai J., Macelis D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku1046","created_at":"2021-09-30T08:23:10.084Z","updated_at":"2021-09-30T08:23:10.084Z"},{"id":782,"pubmed_id":19846593,"title":"REBASE--a database for DNA restriction and modification: enzymes, genes and genomes.","year":2009,"url":"http://doi.org/10.1093/nar/gkp874","authors":"Roberts RJ,Vincze T,Posfai J,Macelis D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp874","created_at":"2021-09-30T08:23:46.161Z","updated_at":"2021-09-30T11:28:51.159Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":6,"relation":"undefined"},{"licence_name":"REBASE Attribution required","licence_id":702,"licence_url":"http://rebase.neb.com/rebase/rebcit.html","link_id":7,"relation":"undefined"}],"grants":[{"id":1383,"fairsharing_record_id":2009,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:04.705Z","updated_at":"2021-09-30T09:25:04.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1385,"fairsharing_record_id":2009,"organisation_id":2148,"relation":"maintains","created_at":"2021-09-30T09:25:04.775Z","updated_at":"2021-09-30T09:25:04.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":2148,"name":"New England Biolabs","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1384,"fairsharing_record_id":2009,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:04.736Z","updated_at":"2021-09-30T09:29:20.318Z","grant_id":201,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"LM04971","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2010","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T16:17:51.787Z","metadata":{"doi":"10.25504/FAIRsharing.a46gtf","name":"Biologic Specimen and Data Repository Information Coordinating Center","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"biolincc@imsweb.com"}],"homepage":"https://biolincc.nhlbi.nih.gov/home/","identifier":2010,"description":"The goal of Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) is to facilitate and coordinate the existing activities of the NHLBI Biorepository and the Data Repository and to expand their scope and usability to the scientific community through a single web-based user interface. BioLINCC provides a wealth of information on historical NHLBI clinical and epidemiologic studies which have data or biospecimens in the NHLBI repositories, and includes study summaries, references, and study operational documents.","abbreviation":"BioLINCC","data_curation":{"type":"not found"},"support_links":[{"url":"https://biolincc.nhlbi.nih.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://biolincc.nhlbi.nih.gov/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://biolincc.nhlbi.nih.gov/media/guidelines/handbook.pdf?link_time=2020-11-19_07:39:22.722230","name":"BioLINCC Handbook","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010834","name":"re3data:r3d100010834","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013142","name":"SciCrunch:RRID:SCR_013142","portal":"SciCrunch"}],"data_access_condition":{"url":"https://biolincc.nhlbi.nih.gov/media/guidelines/handbook.pdf?link_time=2023-05-25_10:38:16.458278#page=15","type":"partially open","notes":"A formal data sharing policy was established in 1989 to enable the datasets in the repository to be shared with qualified investigators."},"data_contact_information":"no","data_deposition_condition":{"url":"https://biolincc.nhlbi.nih.gov/submit_datasets/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000476","bsg-d000476"],"name":"FAIRsharing record for: Biologic Specimen and Data Repository Information Coordinating Center","abbreviation":"BioLINCC","url":"https://fairsharing.org/10.25504/FAIRsharing.a46gtf","doi":"10.25504/FAIRsharing.a46gtf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) is to facilitate and coordinate the existing activities of the NHLBI Biorepository and the Data Repository and to expand their scope and usability to the scientific community through a single web-based user interface. BioLINCC provides a wealth of information on historical NHLBI clinical and epidemiologic studies which have data or biospecimens in the NHLBI repositories, and includes study summaries, references, and study operational documents.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10781},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11074},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12674}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Epidemiology","Preclinical Studies"],"domains":["Biological sample annotation","Biological sample","Disease","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":473,"pubmed_id":22514237,"title":"Key observations from the NHLBI Asthma Clinical Research Network.","year":2012,"url":"http://doi.org/10.1136/thoraxjnl-2012-201876","authors":"Szefler SJ., Chinchilli VM., Israel E., Denlinger LC., Lemanske RF., Calhoun W., Peters SP.,","journal":"Thorax","doi":"10.1136/thoraxjnl-2012-201876","created_at":"2021-09-30T08:23:11.409Z","updated_at":"2021-09-30T08:23:11.409Z"}],"licence_links":[{"licence_name":"NHLBI Data Sharing Policy","licence_id":576,"licence_url":"https://www.nhlbi.nih.gov/grants-and-training/policies-and-guidelines/nhlbi-policy-for-data-sharing-from-clinical-trials-and-epidemiological-studies","link_id":2187,"relation":"undefined"}],"grants":[{"id":1387,"fairsharing_record_id":2010,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:25:04.843Z","updated_at":"2021-09-30T09:25:04.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1386,"fairsharing_record_id":2010,"organisation_id":1997,"relation":"maintains","created_at":"2021-09-30T09:25:04.813Z","updated_at":"2021-09-30T09:25:04.813Z","grant_id":null,"is_lead":true,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1998","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:48:23.215Z","metadata":{"doi":"10.25504/FAIRsharing.wkggtx","name":"Dryad Digital Repository","status":"ready","contacts":[{"contact_name":"Dryad Helpdesk","contact_email":"help@datadryad.org"}],"homepage":"http://datadryad.org/","citations":[],"identifier":1998,"description":"Dryad is an open-source, community-led data curation, publishing, and preservation platform for CC0 publicly available research data. Dryad has a long-term data preservation strategy, and is a Core Trust Seal Certified Merritt repository with storage in US and EU at the San Diego Supercomputing Center, DANS, and Zenodo. While data is undergoing peer review, it is embargoed if the related journal requires / allows this. Dryad is an independent non-profit that works directly with: researchers to publish datasets utilising best practices for discovery and reuse; publishers to support the integration of data availability statements and data citations into their workflows; and institutions to enable scalable campus support for research data management best practices at low cost. Costs are covered by institutional, publisher, and funder members, otherwise a one-time fee of $120 for authors to cover cost of curation and preservation. Dryad also receives direct funder support through grants.","abbreviation":"Dryad","data_curation":{"url":"https://datadryad.org/stash/terms#curation","type":"manual","notes":"Dryad curation support"},"support_links":[{"url":"https://blog.datadryad.org/","name":"Dryad News and Views","type":"Blog/News"},{"url":"https://datadryad.org/stash/faq","name":"Dryad FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/CDL-Dryad/dryad-app/tree/main/documentation/apis","name":"Dryad Web Service Documentation","type":"Github"},{"url":"https://twitter.com/datadryad","name":"@datadryad","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Dryad_%28repository%29","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"https://datadryad.org/stash/best_practices#organize","name":"Best practices for creating reusable data publications","type":"Training documentation"},{"url":"https://datadryad.org/docs/QuickstartGuideToDataSharing.pdf","name":"Quickstart guide to data sharing","type":"Help documentation"},{"url":"https://datadryad.org/docs/JointDataArchivingPolicy.pdf","name":"Dryad Joint Data Archiving Policy (JDAP) ","type":"Other"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000044","name":"re3data:r3d100000044","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005910","name":"SciCrunch:RRID:SCR_005910","portal":"SciCrunch"}],"data_access_condition":{"url":"https://datadryad.org/stash/faq","type":"open"},"resource_sustainability":{"url":"https://datadryad.org/stash/about#origins","name":"Core Trust Seal Certified Merritt repository with storage in US and EU, at San Diego Supercomputing Center, DANS, and Zenodo."},"data_contact_information":"yes","data_preservation_policy":{"url":"https://datadryad.org/stash/faq#how-are-the-datasets-preserved","name":"Data deposited are permanently archived and available through the California Digital Library's Merritt Repository."},"data_deposition_condition":{"url":"https://datadryad.org/stash/submission_process#upload-methods","type":"open","notes":"Registered ORCID authentication required (accepts ROR identifiers). Up to 300 GB per dataset and up to 1 TB with Dryad support. No storage limit per researcher."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000464","bsg-d000464"],"name":"FAIRsharing record for: Dryad Digital Repository","abbreviation":"Dryad","url":"https://fairsharing.org/10.25504/FAIRsharing.wkggtx","doi":"10.25504/FAIRsharing.wkggtx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dryad is an open-source, community-led data curation, publishing, and preservation platform for CC0 publicly available research data. Dryad has a long-term data preservation strategy, and is a Core Trust Seal Certified Merritt repository with storage in US and EU at the San Diego Supercomputing Center, DANS, and Zenodo. While data is undergoing peer review, it is embargoed if the related journal requires / allows this. Dryad is an independent non-profit that works directly with: researchers to publish datasets utilising best practices for discovery and reuse; publishers to support the integration of data availability statements and data citations into their workflows; and institutions to enable scalable campus support for research data management best practices at low cost. Costs are covered by institutional, publisher, and funder members, otherwise a one-time fee of $120 for authors to cover cost of curation and preservation. Dryad also receives direct funder support through grants.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10779},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10955},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12921},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12931},{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12981}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Integration","Data Management","Subject Agnostic","Database Management"],"domains":["Citation","Resource metadata","Data retrieval","Curated information","Digital curation","Literature curation","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","Worldwide"],"publications":[{"id":1215,"pubmed_id":26728592,"title":"Making Data Accessible: The Dryad Experience.","year":2016,"url":"http://doi.org/10.1093/toxsci/kfv238","authors":"Miller GW","journal":"Toxicol Sci","doi":"10.1093/toxsci/kfv238","created_at":"2021-09-30T08:24:35.450Z","updated_at":"2021-09-30T08:24:35.450Z"},{"id":1236,"pubmed_id":26413172,"title":"GMS publishes your research findings - and makes the related research data available through Dryad.","year":2015,"url":"http://doi.org/10.3205/zma000976","authors":"Arning U","journal":"GMS Z Med Ausbild","doi":"10.3205/zma000976","created_at":"2021-09-30T08:24:37.891Z","updated_at":"2021-09-30T08:24:37.891Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":770,"relation":"undefined"},{"licence_name":"DataDryad Terms of Service","licence_id":220,"licence_url":"https://datadryad.org/pages/policies","link_id":755,"relation":"undefined"}],"grants":[{"id":1370,"fairsharing_record_id":1998,"organisation_id":787,"relation":"maintains","created_at":"2021-09-30T09:25:04.276Z","updated_at":"2021-09-30T09:25:04.276Z","grant_id":null,"is_lead":true,"saved_state":{"id":787,"name":"Dryad, Durham, NC, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":1371,"fairsharing_record_id":1998,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:04.312Z","updated_at":"2021-09-30T09:32:08.303Z","grant_id":1485,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0830944","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8366,"fairsharing_record_id":1998,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:17.642Z","updated_at":"2021-09-30T09:32:17.692Z","grant_id":1552,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1147166","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWDQ9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--94f277801379fa060846d300b1d19045ad880118/logod.png?disposition=inline","exhaustive_licences":false}},{"id":"1999","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:58.459Z","metadata":{"doi":"10.25504/FAIRsharing.5ab0n7","name":"Three-Dimensional Structure Database of Natural Metabolites","status":"deprecated","contacts":[{"contact_name":"Miki H. Maeda","contact_email":"mmaeda@nias.affrc.go.jp"}],"homepage":"http://www.3dmet.dna.affrc.go.jp/","citations":[],"identifier":1999,"description":"3DMET is a database of three-dimensional structures of natural metabolites.","abbreviation":"3DMET","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.3dmet.dna.affrc.go.jp/cgi/renraku.html","type":"Contact form"},{"url":"http://www.3dmet.dna.affrc.go.jp/docs/faqs.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.3dmet.dna.affrc.go.jp/docs/index.html","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000465","bsg-d000465"],"name":"FAIRsharing record for: Three-Dimensional Structure Database of Natural Metabolites","abbreviation":"3DMET","url":"https://fairsharing.org/10.25504/FAIRsharing.5ab0n7","doi":"10.25504/FAIRsharing.5ab0n7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: 3DMET is a database of three-dimensional structures of natural metabolites.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11774}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Molecular structure","Chemical entity","Metabolite","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":469,"pubmed_id":23293959,"title":"Three-Dimensional Structure Database of Natural Metabolites (3DMET): A Novel Database of Curated 3D Structures.","year":2013,"url":"http://doi.org/10.1021/ci300309k","authors":"Maeda MH., Kondo K.,","journal":"J Chem Inf Model","doi":"10.1021/ci300309k","created_at":"2021-09-30T08:23:10.959Z","updated_at":"2021-09-30T08:23:10.959Z"}],"licence_links":[],"grants":[{"id":1372,"fairsharing_record_id":1999,"organisation_id":2008,"relation":"maintains","created_at":"2021-09-30T09:25:04.345Z","updated_at":"2021-09-30T09:25:04.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":2008,"name":"National Institute of Agrobiological Sciences (NIAS), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2000","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T11:06:16.296Z","metadata":{"doi":"10.25504/FAIRsharing.xz5m1a","name":"Nematode Expression Pattern DataBase","status":"ready","contacts":[{"contact_name":"Tadasu Shin-i","contact_email":"tshini@genes.nig.ac.jp"}],"homepage":"http://nematode.lab.nig.ac.jp/","identifier":2000,"description":"The Kohara lab has been constructing an expression pattern map of the 100Mb genome of the nematode Caenorhabditis elegans through EST analysis and systematic whole mount in situ hybridization. NEXTDB is the database to integrate all information from the expression pattern project.","abbreviation":"NextDB","data_curation":{"url":"https://nematode.nig.ac.jp/feedback/FeedBack.html","type":"manual/automated","notes":"Only the feedback information is checked."},"support_links":[{"url":"http://nematode.lab.nig.ac.jp/doc/usageSrch.php","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://nematode.lab.nig.ac.jp/dbhomol/homolsrch.php","name":"Blast"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://nematode.nig.ac.jp/feedback/index.html","type":"open","notes":"The databases promotes the collection of the information obtained by using the shared cDNA clones ."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000466","bsg-d000466"],"name":"FAIRsharing record for: Nematode Expression Pattern DataBase","abbreviation":"NextDB","url":"https://fairsharing.org/10.25504/FAIRsharing.xz5m1a","doi":"10.25504/FAIRsharing.xz5m1a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Kohara lab has been constructing an expression pattern map of the 100Mb genome of the nematode Caenorhabditis elegans through EST analysis and systematic whole mount in situ hybridization. NEXTDB is the database to integrate all information from the expression pattern project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Deoxyribonucleic acid","Genome"],"taxonomies":["Caenorhabditis elegans","Nematoda"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"NEXTDB Terms and Conditions of Use","licence_id":573,"licence_url":"http://nematode.lab.nig.ac.jp/doc/readme.php","link_id":580,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":585,"relation":"undefined"}],"grants":[{"id":1373,"fairsharing_record_id":2000,"organisation_id":2019,"relation":"maintains","created_at":"2021-09-30T09:25:04.379Z","updated_at":"2021-09-30T09:25:04.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2001","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:36.374Z","metadata":{"doi":"10.25504/FAIRsharing.ftamrc","name":"NITE Biological Research Center Culture Catalogue","status":"ready","contacts":[{"contact_email":"nbrc@nite.go.jp"}],"homepage":"https://www.nite.go.jp/nbrc/catalogue/","citations":[],"identifier":2001,"description":"The NITE Biological Resource Center Culture Catalogue (NBRC) collects potentially useful biological resources (microorganisms and cloned genes) and distributes them to promote basic researches as well as industrial applications. Information includes the source of isolation, culture conditions, literature and sequence by searching for strains using NBRC number or scientific name. Closely related strains can be discovered by performing a homology search using sequence data.","abbreviation":"NBRC","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.nite.go.jp/en/nbrc/index.html","name":"About","type":"Help documentation"},{"url":"https://www.nite.go.jp/en/nbrc/cultures/index.html","name":"Distribution and Deposit of Biological Resources","type":"Help documentation"}],"data_versioning":"no","associated_tools":[],"data_access_condition":{"url":"https://www.nite.go.jp/en/nbrc/cultures/fee/fee.html","type":"controlled","notes":"Charging service"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.nite.go.jp/en/nbrc/cultures/deposit/index.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000467","bsg-d000467"],"name":"FAIRsharing record for: NITE Biological Research Center Culture Catalogue","abbreviation":"NBRC","url":"https://fairsharing.org/10.25504/FAIRsharing.ftamrc","doi":"10.25504/FAIRsharing.ftamrc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NITE Biological Resource Center Culture Catalogue (NBRC) collects potentially useful biological resources (microorganisms and cloned genes) and distributes them to promote basic researches as well as industrial applications. Information includes the source of isolation, culture conditions, literature and sequence by searching for strains using NBRC number or scientific name. Closely related strains can be discovered by performing a homology search using sequence data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Microbiology"],"domains":["Resource collection"],"taxonomies":["Actinomycetales","Algae","Archaea","Bacteria","Fungi","Viruses"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"NITE Terms of use","licence_id":589,"licence_url":"https://www.nite.go.jp/en/homepage/index.html","link_id":237,"relation":"undefined"}],"grants":[{"id":1374,"fairsharing_record_id":2001,"organisation_id":2026,"relation":"maintains","created_at":"2021-09-30T09:25:04.418Z","updated_at":"2021-11-22T11:29:58.738Z","grant_id":null,"is_lead":true,"saved_state":{"id":2026,"name":"National Institute of Technology and Evaluation (NITE), Tokyo, Japan","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2002","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.794Z","metadata":{"doi":"10.25504/FAIRsharing.xwqg9h","name":"NIA Mouse cDNA Project","status":"deprecated","contacts":[{"contact_name":"Dawood B. Dudekula","contact_email":"dawood@helix.nih.gov","contact_orcid":"0000-0002-4054-1827"}],"homepage":"http://lgsun.grc.nia.nih.gov/cDNA/cDNA.html","identifier":2002,"description":"A catalog of mouse genes expressed in early embryos, embryonic and adult stem cells was assembled. The cDNA libraries are freely distributed to the research community, providing a standard platform for expression studies using microarrays.","abbreviation":"niaEST","data_curation":{"type":"not found"},"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://lgsun.grc.nia.nih.gov/ANOVA/","name":"analyze"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000468","bsg-d000468"],"name":"FAIRsharing record for: NIA Mouse cDNA Project","abbreviation":"niaEST","url":"https://fairsharing.org/10.25504/FAIRsharing.xwqg9h","doi":"10.25504/FAIRsharing.xwqg9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A catalog of mouse genes expressed in early embryos, embryonic and adult stem cells was assembled. The cDNA libraries are freely distributed to the research community, providing a standard platform for expression studies using microarrays.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Complementary DNA"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1624,"pubmed_id":14744099,"title":"The NIA cDNA project in mouse stem cells and early embryos.","year":2004,"url":"http://doi.org/10.1016/j.crvi.2003.09.008","authors":"Carter MG,Piao Y,Dudekula DB,Qian Y,VanBuren V,Sharov AA,Tanaka TS,Martin PR,Bassey UC,Stagg CA,Aiba K,Hamatani T,Matoba R,Kargul GJ,Ko MS","journal":"C R Biol","doi":"10.1016/j.crvi.2003.09.008","created_at":"2021-09-30T08:25:22.036Z","updated_at":"2021-09-30T08:25:22.036Z"}],"licence_links":[],"grants":[{"id":1375,"fairsharing_record_id":2002,"organisation_id":2027,"relation":"maintains","created_at":"2021-09-30T09:25:04.445Z","updated_at":"2021-09-30T09:25:04.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2003","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-06T08:54:55.865Z","metadata":{"doi":"10.25504/FAIRsharing.5949vn","name":"ChemIDplus","status":"deprecated","contacts":[{"contact_name":"Florence Chang","contact_email":"florence.chang@nih.gov"}],"homepage":"https://www.nlm.nih.gov/pubs/techbull/ja22/ja22_pubchem.html#note","citations":[],"identifier":2003,"description":"ChemIDplus is a web-based search system that provides access to structure and nomenclature authority files used for the identification of chemical substances cited in National Library of Medicine (NLM) databases. It also provides structure searching and direct links to many biomedical resources at NLM and on the Internet for chemicals of interest.\n","abbreviation":"ChemIDplus","data_curation":{},"support_links":[{"url":"tehip@teh.nlm.nih.gov","name":"tehip@teh.nlm.nih.gov","type":"Support email"},{"url":"https://chem.nlm.nih.gov/chemidplus/faq.jsp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://chem.nlm.nih.gov/chemidplus/jsp/chemidheavy/help.jsp","name":"Help","type":"Help documentation"},{"url":"https://chem.nlm.nih.gov/chemidplus/jsp/toxnet/chemidplusfs.jsp","name":"Fact Sheet","type":"Help documentation"},{"url":"https://learn.nlm.nih.gov/?search_term=chemidplus\u0026_gl=1*ldduc6*_ga*MTE3MTYxNzg2LjE2NjE3NjA4MzQ.*_ga_P1FPTH9PL4*MTY2MTc4NzE4NC4xLjEuMTY2MTc4NzQ1OC4wLjAuMA..","name":"Tutorials","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2023-04-06","deprecation_reason":"ChemIDplus content is available from PubChem starting december 2022. See https://www.nlm.nih.gov/pubs/techbull/ja22/ja22_pubchem.html#note for more information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000469","bsg-d000469"],"name":"FAIRsharing record for: ChemIDplus","abbreviation":"ChemIDplus","url":"https://fairsharing.org/10.25504/FAIRsharing.5949vn","doi":"10.25504/FAIRsharing.5949vn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChemIDplus is a web-based search system that provides access to structure and nomenclature authority files used for the identification of chemical substances cited in National Library of Medicine (NLM) databases. It also provides structure searching and direct links to many biomedical resources at NLM and on the Internet for chemicals of interest.\n","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11775}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry","Biomedical Science"],"domains":["Molecular structure","Chemical structure","Molecular entity","Structure","Chemical descriptor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":465,"pubmed_id":11989279,"title":"ChemIDplus-super source for chemical and drug information.","year":2002,"url":"http://doi.org/10.1300/J115v21n01_04","authors":"Tomasulo P.,","journal":"Med Ref Serv Q","doi":"10.1300/J115v21n01_04","created_at":"2021-09-30T08:23:10.550Z","updated_at":"2021-09-30T08:23:10.550Z"}],"licence_links":[{"licence_name":"NLM Copyright Information","licence_id":592,"licence_url":"https://www.nlm.nih.gov/web_policies.html#copyright","link_id":1984,"relation":"undefined"},{"licence_name":"NLM Web Policies","licence_id":974,"licence_url":"https://www.nlm.nih.gov/web_policies.html","link_id":2818,"relation":"applies_to_content"}],"grants":[{"id":1376,"fairsharing_record_id":2003,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:04.468Z","updated_at":"2021-09-30T09:25:04.468Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2011","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:17:45.767Z","metadata":{"doi":"10.25504/FAIRsharing.k81521","name":"Integrating Data for Analysis, Anonymization, and Sharing","status":"deprecated","contacts":[{"contact_email":"idash@ucsd.edu"}],"homepage":"http://idash.ucsd.edu/","identifier":2011,"description":"Integrating Data for Analysis, Anonymization and SHaring (iDASH) is one of the National Centers for Biomedical Computing (NCBC) under the NIH Roadmap for Bioinformatics and Computational Biology. Founded in 2010, the iDASH center is hosted on the campus of the University of California, San Diego and addresses fundamental challenges to research progress and enables global collaborations anywhere and anytime. Driving biological projects motivate, inform, and support tool development in iDASH. iDASH collaborates with other NCBCs and disseminates tools via annual workshops, presentations at major conferences, and scientific publications. iDASH offers a secure cyberinfrastructure and tools to support a privacy-preserving data repository and open source software. iDASH also is active in research and training in its mission area.","abbreviation":"iDASH","data_curation":{"type":"not found"},"support_links":[{"url":"http://idash.ucsd.edu/idash-softwaretools","type":"Help documentation"},{"url":"http://idash.ucsd.edu/cyberinfrastructure","type":"Help documentation"},{"url":"http://idash.ucsd.edu/events/webinars","type":"Training documentation"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"https://idash.ucsd.edu/dbp-tools","name":"Microrna Analysis in GPU Infrastructure"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"Genome Query Language"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"Observational Cohort Event Analysis and Notification System"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"Sensing Sedentary (and physical activity behavior)"},{"url":"https://idash.ucsd.edu/dbp-tools","name":"WebGLORE 2.0"}],"deprecation_date":"2018-01-30","deprecation_reason":"This resource has been deprecated as funding has ended. As of 07/30/2017, all data within any of the communities in iDASH were no longer accessible. Please contact idash@ucsd.edu with any questions.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000477","bsg-d000477"],"name":"FAIRsharing record for: Integrating Data for Analysis, Anonymization, and Sharing","abbreviation":"iDASH","url":"https://fairsharing.org/10.25504/FAIRsharing.k81521","doi":"10.25504/FAIRsharing.k81521","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integrating Data for Analysis, Anonymization and SHaring (iDASH) is one of the National Centers for Biomedical Computing (NCBC) under the NIH Roadmap for Bioinformatics and Computational Biology. Founded in 2010, the iDASH center is hosted on the campus of the University of California, San Diego and addresses fundamental challenges to research progress and enables global collaborations anywhere and anytime. Driving biological projects motivate, inform, and support tool development in iDASH. iDASH collaborates with other NCBCs and disseminates tools via annual workshops, presentations at major conferences, and scientific publications. iDASH offers a secure cyberinfrastructure and tools to support a privacy-preserving data repository and open source software. iDASH also is active in research and training in its mission area.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11075}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Security","Biomedical Science"],"domains":["Analysis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":458,"pubmed_id":null,"title":"iDASH: integrating data for analysis, anonymization, and sharing","year":2012,"url":"http://doi.org/10.1136/amiajnl-2011-000538","authors":"Lucila Ohno-Machado et al.","journal":"Journal of the American Medical Informatics Association","doi":"10.1136/amiajnl-2011-000538","created_at":"2021-09-30T08:23:09.760Z","updated_at":"2021-09-30T08:23:09.760Z"}],"licence_links":[{"licence_name":"UCSD Data Usage Procedures","licence_id":802,"licence_url":"http://idash.ucsd.edu/procedures","link_id":2315,"relation":"undefined"}],"grants":[{"id":1389,"fairsharing_record_id":2011,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:04.897Z","updated_at":"2021-09-30T09:25:04.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1388,"fairsharing_record_id":2011,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:25:04.869Z","updated_at":"2021-09-30T09:29:51.938Z","grant_id":441,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54HL108460","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2013","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:29.236Z","metadata":{"doi":"10.25504/FAIRsharing.dt71b7","name":"GeneNetwork","status":"ready","contacts":[{"contact_name":"Robert W Williams","contact_email":"rwilliams@uthsc.edu"}],"homepage":"http://www.genenetwork.org/","citations":[{"publication_id":2973}],"identifier":2013,"description":"GeneNetwork is a group of linked data sets and tools used to study complex networks of genes, molecules, and higher order gene function and phenotypes. GeneNetwork combines more than 25 years of legacy data generated by hundreds of scientists together with sequence data (SNPs) and massive transcriptome data sets (expression or eQTL data sets). GeneNetwork was created in 1994 as The Portable Dictionary of the Mouse Genome, and became WebQTL in 2001. In 2005 it was renamed GeneNetwork.","abbreviation":"GeneNetwork","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.genenetwork.org/news","name":"News","type":"Blog/News"},{"url":"http://gn1.genenetwork.org/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://gn1.genenetwork.org/glossary.html","name":"Glossary","type":"Help documentation"},{"url":"http://www.genenetwork.org/policies","name":"GeneNetwork Policies","type":"Help documentation"},{"url":"https://github.com/genenetwork/genenetwork2","name":"GitHub GN2 Project","type":"Github"},{"url":"https://github.com/genenetwork/genenetwork1","name":"GitHub GN1 Project","type":"Github"},{"url":"http://www.genenetwork.org/tutorials","name":"Tutorials","type":"Training documentation"},{"url":"https://twitter.com/GeneNetwork2","name":"@GeneNetwork2","type":"Twitter"}],"year_creation":1994,"data_versioning":"yes","associated_tools":[{"url":"http://www.genenetwork.org/dbResults.html","name":"Genome Graph (visualization)"},{"url":"http://www.genenetwork.org/webqtl/main.py?FormID=batSubmit","name":"Batch Submission Tool"},{"url":"http://www.genenetwork.org/snp_browser","name":"Variant (SNP) Browser"},{"url":"http://www.genenetwork.org/webqtl/main.py?FormID=qtlminer","name":"QTLminer (analysis)"},{"url":"http://power.genenetwork.org/","name":"BDX Power Calculator"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.genenetwork.org/webqtl/main.py?FormID=submitSingleTrait","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000479","bsg-d000479"],"name":"FAIRsharing record for: GeneNetwork","abbreviation":"GeneNetwork","url":"https://fairsharing.org/10.25504/FAIRsharing.dt71b7","doi":"10.25504/FAIRsharing.dt71b7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneNetwork is a group of linked data sets and tools used to study complex networks of genes, molecules, and higher order gene function and phenotypes. GeneNetwork combines more than 25 years of legacy data generated by hundreds of scientists together with sequence data (SNPs) and massive transcriptome data sets (expression or eQTL data sets). GeneNetwork was created in 1994 as The Portable Dictionary of the Mouse Genome, and became WebQTL in 2001. In 2005 it was renamed GeneNetwork.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11077}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genetics","Transcriptomics"],"domains":["Expression data","Network model","Gene expression","Phenotype","Single nucleotide polymorphism","Quantitative trait loci","Genotype"],"taxonomies":["Arabidopsis thaliana","Drosophila melanogaster","Glycine max","Homo sapiens","Hordeum vulgare L.","Mus musculus","Rhesus macaques","Solanum lycopersicum"],"user_defined_tags":[],"countries":["Australia","Germany","Israel","Singapore","United Kingdom","United States"],"publications":[{"id":471,"pubmed_id":15114364,"title":"WebQTL: rapid exploratory analysis of gene expression and genetic networks for brain and behavior.","year":2004,"url":"http://doi.org/10.1038/nn0504-485","authors":"Chesler EJ., Lu L., Wang J., Williams RW., Manly KF.,","journal":"Nat. Neurosci.","doi":"10.1038/nn0504-485","created_at":"2021-09-30T08:23:11.209Z","updated_at":"2021-09-30T08:23:11.209Z"},{"id":2973,"pubmed_id":null,"title":"GeneNetwork: framework for web-based genetics","year":2016,"url":"https://doi.org/10.21105/joss.00025","authors":"Zachary Sloan, Danny Arends, Karl W. Broman, Arthur Centeno, Nicholas Furlotte, Harm Nijveen, Lei Yan, Xiang Zhou, Robert W.Williams, and Pjotr Prins","journal":"Journal of Open-Source Software","doi":null,"created_at":"2021-09-30T08:28:06.358Z","updated_at":"2021-09-30T08:28:06.358Z"}],"licence_links":[{"licence_name":"GNU Affero General Public License","licence_id":352,"licence_url":"http://www.gnu.org/licenses/agpl-3.0.html","link_id":1424,"relation":"undefined"}],"grants":[{"id":1393,"fairsharing_record_id":2013,"organisation_id":2850,"relation":"maintains","created_at":"2021-09-30T09:25:05.021Z","updated_at":"2021-09-30T09:25:05.021Z","grant_id":null,"is_lead":false,"saved_state":{"id":2850,"name":"The UT Center for Integrative and Translational Genomics","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1398,"fairsharing_record_id":2013,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:05.192Z","updated_at":"2021-09-30T09:30:48.324Z","grant_id":879,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"P20-DA 21131","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1392,"fairsharing_record_id":2013,"organisation_id":1883,"relation":"funds","created_at":"2021-09-30T09:25:04.991Z","updated_at":"2021-09-30T09:31:57.279Z","grant_id":1403,"is_lead":false,"saved_state":{"id":1883,"name":"MMHCC","grant":"U01CA105417","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1397,"fairsharing_record_id":2013,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:05.155Z","updated_at":"2021-09-30T09:25:05.155Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1394,"fairsharing_record_id":2013,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:25:05.045Z","updated_at":"2021-09-30T09:29:25.401Z","grant_id":242,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"R01AG043930","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1395,"fairsharing_record_id":2013,"organisation_id":267,"relation":"funds","created_at":"2021-09-30T09:25:05.075Z","updated_at":"2021-09-30T09:31:47.195Z","grant_id":1325,"is_lead":false,"saved_state":{"id":267,"name":"Biomedical Informatics Research Network (BIRN)","grant":"U24 RR021760","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1396,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:25:05.117Z","updated_at":"2021-09-30T09:28:54.743Z","grant_id":12,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U01 AA013499","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7901,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:29:35.092Z","updated_at":"2021-09-30T09:29:35.139Z","grant_id":312,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U24 AA013513","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8240,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:31:41.181Z","updated_at":"2021-09-30T09:31:41.234Z","grant_id":1283,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U01 AA014425","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8248,"fairsharing_record_id":2013,"organisation_id":2028,"relation":"funds","created_at":"2021-09-30T09:31:44.308Z","updated_at":"2021-09-30T09:31:44.362Z","grant_id":1305,"is_lead":false,"saved_state":{"id":2028,"name":"National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, MD, USA","grant":"U01 AA016662","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2022","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:34.800Z","metadata":{"doi":"10.25504/FAIRsharing.p3bzqb","name":"Transporter Classification Database","status":"ready","contacts":[{"contact_name":"Milton H. Saier, Jr.","contact_email":"msaier@ucsd.edu","contact_orcid":"0000-0001-5530-0017"},{"contact_name":"Arturo Medrano-Soto","contact_email":"arturo.medrano@gmail.com","contact_orcid":"0000-0002-6095-3829"}],"homepage":"https://tcdb.org/","citations":[{"doi":"10.1093/nar/gkaa1004","pubmed_id":33170213,"publication_id":367}],"identifier":2022,"description":"This freely accessible database details a comprehensive IUBMB approved classification system for membrane transport proteins known as the Transporter Classification (TC) system. The TC system is analogous to the Enzyme Commission (EC) system for classification of enzymes, except that it incorporates both functional and phylogenetic information for organisms of all types. As of August 1, 2021, TCDB consists of 22,132 proteins classified in 17,390 transport systems with 1,604 tabulated 3D structures, 21,174 reference citations describing 1,708 transporter families, of which 25% are members of 94 recognized superfamilies. Overall, this is an increase of over 50% since the last published update of the database in 2016. The most recent update of the database contents and features include (1) adoption of a chemical ontology for substrates of transporters, (2) inclusion of new superfamilies, (3) a domain-based characterization of transporter families (tcDoms) for the identification of new members as well as functional and evolutionary relationships between families, (4) development of novel software to facilitate curation and use of the database, (5) addition of new subclasses of transport systems including 11 novel types of channels and 3 types of group translocators, and (6) the inclusion of many man-made (artificial) transmembrane pores/channels and carriers.","abbreviation":"TCDB","data_curation":{"url":"https://tcdb.org/faq.php","type":"automated"},"support_links":[{"url":"https://tcdb.org/tcdb_help.php","name":"Help and tutorials","type":"Frequently Asked Questions (FAQs)"},{"url":"https://tcdb.org/faq.php","name":"FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"http://biotools.tcdb.org","name":"Bio-tools: links to in-house and external tools"},{"url":"https://tcdb.org/progs/blast.php","name":"Blast a protein against TCDB"},{"url":"https://tcdb.org/progs/?tool=substrate#/","name":"Query TCDB by transported substrate(s)"}],"data_access_condition":{"type":"open","notes":"Online access is open to the public in read-only mode."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Contact us if you would like to submit your data to TCDB."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000489","bsg-d000489"],"name":"FAIRsharing record for: Transporter Classification Database","abbreviation":"TCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.p3bzqb","doi":"10.25504/FAIRsharing.p3bzqb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This freely accessible database details a comprehensive IUBMB approved classification system for membrane transport proteins known as the Transporter Classification (TC) system. The TC system is analogous to the Enzyme Commission (EC) system for classification of enzymes, except that it incorporates both functional and phylogenetic information for organisms of all types. As of August 1, 2021, TCDB consists of 22,132 proteins classified in 17,390 transport systems with 1,604 tabulated 3D structures, 21,174 reference citations describing 1,708 transporter families, of which 25% are members of 94 recognized superfamilies. Overall, this is an increase of over 50% since the last published update of the database in 2016. The most recent update of the database contents and features include (1) adoption of a chemical ontology for substrates of transporters, (2) inclusion of new superfamilies, (3) a domain-based characterization of transporter families (tcDoms) for the identification of new members as well as functional and evolutionary relationships between families, (4) development of novel software to facilitate curation and use of the database, (5) addition of new subclasses of transport systems including 11 novel types of channels and 3 types of group translocators, and (6) the inclusion of many man-made (artificial) transmembrane pores/channels and carriers.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10789},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11086}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Knowledge and Information Systems","Phylogenetics","Computational Biology","Life Science","Cell Biology"],"domains":["Molecular structure","Annotation","Function analysis","Molecular function","Transport","Disease","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":271,"pubmed_id":24225317,"title":"The transporter classification database","year":2013,"url":"http://doi.org/10.1093/nar/gkt1097","authors":"Saier MH, Reddy VS, Tamang DG, Vastermark A.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1097","created_at":"2021-09-30T08:22:49.313Z","updated_at":"2021-09-30T11:28:44.500Z"},{"id":367,"pubmed_id":33170213,"title":"The Transporter Classification Database (TCDB): 2021 update","year":2021,"url":"http://doi.org/10.1093/nar/gkaa1004","authors":"Saier MH, Reddy VS, Moreno-Hagelsieb G, Hendargo KJ, Zhang Y, Iddamsetty V, Lam KJK, Tian N, Russum S, Wang J, Medrano-Soto A.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkaa1004","created_at":"2021-09-30T08:22:59.458Z","updated_at":"2021-09-30T08:22:59.458Z"},{"id":472,"pubmed_id":16381841,"title":"TCDB: the Transporter Classification Database for membrane transport protein analyses and information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj001","authors":"Saier MH., Tran CV., Barabote RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj001","created_at":"2021-09-30T08:23:11.309Z","updated_at":"2021-09-30T08:23:11.309Z"},{"id":482,"pubmed_id":19022853,"title":"The Transporter Classification Database: recent advances.","year":2008,"url":"http://doi.org/10.1093/nar/gkn862","authors":"Saier MH., Yen MR., Noto K., Tamang DG., Elkan C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn862","created_at":"2021-09-30T08:23:12.425Z","updated_at":"2021-09-30T08:23:12.425Z"},{"id":1530,"pubmed_id":26546518,"title":"The Transporter Classification Database (TCDB): recent advances","year":2015,"url":"http://doi.org/10.1093/nar/gkv1103","authors":"Saier MH, Reddy V S, Tsu BV, Ahmed MS, Li C, Moreno-Hagelsieb G.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1103","created_at":"2021-09-30T08:25:11.259Z","updated_at":"2021-09-30T11:29:12.735Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1329,"relation":"undefined"},{"licence_name":"GNU Free Documentation License","licence_id":353,"licence_url":"http://www.gnu.org/licenses/fdl-1.3.html","link_id":1333,"relation":"undefined"}],"grants":[{"id":1421,"fairsharing_record_id":2022,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:06.054Z","updated_at":"2021-09-30T09:25:06.054Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1420,"fairsharing_record_id":2022,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:06.025Z","updated_at":"2021-09-30T09:25:06.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2023","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:57.213Z","metadata":{"doi":"10.25504/FAIRsharing.2g4cfa","name":"Quantitative Trait Loci Archive","status":"ready","contacts":[{"contact_email":"qtlarchive@jax.org"}],"homepage":"https://phenome.jax.org/centers/QTLA","citations":[],"identifier":2023,"description":"This site provides access to raw data from various QTL (quantitative trait loci) studies using rodent inbred line crosses. Data are available in the .csv format used by R/qtl and pseudomarker programs. In some cases analysis scripts and/or results are posted to accompany the data.","abbreviation":"QTL Archive","data_curation":{"url":"file:///C:/Users/Utilisateur/Downloads/SIP_Guidelines_v1.4.1%20(1).pdf","type":"manual"},"support_links":[{"url":"http://phenome.jax.org/db/q?rtn=uin/sugg","type":"Contact form"},{"url":"phenome@jax.org","type":"Support email"},{"url":"http://phenome.jax.org/db/q?rtn=docs/aboutmpd","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010571","name":"re3data:r3d100010571","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006213","name":"SciCrunch:RRID:SCR_006213","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://studyintake.jax.org/help#do-i-have-to-register-as-a-user-","type":"controlled","notes":"Only registrered users can upload data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000490","bsg-d000490"],"name":"FAIRsharing record for: Quantitative Trait Loci Archive","abbreviation":"QTL Archive","url":"https://fairsharing.org/10.25504/FAIRsharing.2g4cfa","doi":"10.25504/FAIRsharing.2g4cfa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This site provides access to raw data from various QTL (quantitative trait loci) studies using rodent inbred line crosses. Data are available in the .csv format used by R/qtl and pseudomarker programs. In some cases analysis scripts and/or results are posted to accompany the data.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11087}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Curated information","Phenotype","Quantitative trait loci","Genotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"MPD Attribution required","licence_id":526,"licence_url":"https://phenome.jax.org/about/citing","link_id":1942,"relation":"undefined"},{"licence_name":"MPD Terms of Use","licence_id":527,"licence_url":"https://phenome.jax.org/about/termsofuse","link_id":1944,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1943,"relation":"undefined"}],"grants":[{"id":1425,"fairsharing_record_id":2023,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:06.159Z","updated_at":"2021-09-30T09:25:06.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1422,"fairsharing_record_id":2023,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:06.078Z","updated_at":"2021-09-30T09:25:06.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1424,"fairsharing_record_id":2023,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:06.128Z","updated_at":"2021-09-30T09:25:06.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1426,"fairsharing_record_id":2023,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:25:06.201Z","updated_at":"2021-09-30T09:25:06.201Z","grant_id":null,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1423,"fairsharing_record_id":2023,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:06.105Z","updated_at":"2021-09-30T09:28:57.859Z","grant_id":33,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"GM070683","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2016","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:33.096Z","metadata":{"doi":"10.25504/FAIRsharing.k34tv5","name":"National Addiction \u0026 HIV Data Archive Program","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"nahdap@icpsr.umich.edu"}],"homepage":"https://www.icpsr.umich.edu/web/pages/NAHDAP/index.html","citations":[],"identifier":2016,"description":"NAHDAP acquires, preserves and disseminates data relevant to drug addiction and HIV research. The scope of the data housed at NAHDAP covers a wide range of legal and illicit drugs (alcohol, tobacco, marijuana, cocaine, synthetic drugs, and others) and the trajectories, patterns, and consequences of drug use as well as related predictors and outcomes.","abbreviation":"NAHDAP","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/announcements.html","name":"News","type":"Blog/News"},{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/contact.html","name":"General Contact Information and Form","type":"Contact form"},{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/help/index.html","name":"Help and FAQ","type":"Help documentation"},{"url":"https://www.youtube.com/user/icpsrweb?feature=results_main","name":"YouTube Tutorials","type":"Video"},{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/training.html","name":"Training and Support","type":"Training documentation"},{"url":"https://twitter.com/NAHDAP1","name":"@NAHDAP1","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010261","name":"re3data:r3d100010261","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000636","name":"SciCrunch:RRID:SCR_000636","portal":"SciCrunch"}],"data_access_condition":{"type":"partially open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/deposit/index.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000482","bsg-d000482"],"name":"FAIRsharing record for: National Addiction \u0026 HIV Data Archive Program","abbreviation":"NAHDAP","url":"https://fairsharing.org/10.25504/FAIRsharing.k34tv5","doi":"10.25504/FAIRsharing.k34tv5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NAHDAP acquires, preserves and disseminates data relevant to drug addiction and HIV research. The scope of the data housed at NAHDAP covers a wide range of legal and illicit drugs (alcohol, tobacco, marijuana, cocaine, synthetic drugs, and others) and the trajectories, patterns, and consequences of drug use as well as related predictors and outcomes.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10784},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10957},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11080}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social Science","Biomedical Science"],"domains":["Drug","Addiction","Disease"],"taxonomies":["Homo sapiens","Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NAHDAP Data Sharing Policies","licence_id":531,"licence_url":"https://www.icpsr.umich.edu/web/pages/NAHDAP/irbs-data-sharing.html","link_id":2390,"relation":"undefined"}],"grants":[{"id":1405,"fairsharing_record_id":2016,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:25:05.454Z","updated_at":"2021-09-30T09:25:05.454Z","grant_id":null,"is_lead":true,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1406,"fairsharing_record_id":2016,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:05.500Z","updated_at":"2021-09-30T09:25:05.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2017","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:55:34.430Z","metadata":{"doi":"10.25504/FAIRsharing.a7p1zt","name":"NIDA Data Share","status":"ready","contacts":[],"homepage":"https://datashare.nida.nih.gov","citations":[],"identifier":2017,"description":"The NIDA Data Share web site is an electronic environment that allows data from completed clinical trials to be distributed to investigators and the public in order to promote new research, encourage further analyses, and disseminate information to the community. Secondary analyses produced from data sharing multiply the scientific contribution of the original research.","abbreviation":"NIDA","data_curation":{"type":"not found"},"support_links":[{"url":"https://datashare.nida.nih.gov/contact","type":"Contact form"},{"url":"https://datashare.nida.nih.gov/content/frequently-asked-questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://datashare.nida.nih.gov/content/about-us","type":"Help documentation"},{"url":"https://datashare.nida.nih.gov/assessments","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"url":"https://datashare.nida.nih.gov/","type":"open","notes":"Users will have to register a name and valid e-mail address in order to download data and to accept their responsibility for using data in accordance with the NIDA Data Share Agreement"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000483","bsg-d000483"],"name":"FAIRsharing record for: NIDA Data Share","abbreviation":"NIDA","url":"https://fairsharing.org/10.25504/FAIRsharing.a7p1zt","doi":"10.25504/FAIRsharing.a7p1zt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NIDA Data Share web site is an electronic environment that allows data from completed clinical trials to be distributed to investigators and the public in order to promote new research, encourage further analyses, and disseminate information to the community. Secondary analyses produced from data sharing multiply the scientific contribution of the original research.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10785},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11081},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12675}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Biomedical Science","Preclinical Studies"],"domains":["Drug","Addiction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":463,"pubmed_id":20126428,"title":"The Place of Adoption in the NIDA Clinical Trials Network.","year":2008,"url":"http://doi.org/10.1177/002204260803800408","authors":"Jessup MA., Guydish J., Manser ST., Tajima B.,","journal":"J Drug Issues","doi":"10.1177/002204260803800408","created_at":"2021-09-30T08:23:10.342Z","updated_at":"2021-09-30T08:23:10.342Z"}],"licence_links":[{"licence_name":"NIH NIDA Data Privacy Policy","licence_id":586,"licence_url":"https://www.drugabuse.gov/privacy","link_id":983,"relation":"undefined"},{"licence_name":"Web Accessibility Policy for the NIH NIDA","licence_id":858,"licence_url":"https://www.drugabuse.gov/accessibility","link_id":984,"relation":"undefined"}],"grants":[{"id":1408,"fairsharing_record_id":2017,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:05.572Z","updated_at":"2021-09-30T09:25:05.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1407,"fairsharing_record_id":2017,"organisation_id":2029,"relation":"maintains","created_at":"2021-09-30T09:25:05.539Z","updated_at":"2021-09-30T09:25:05.539Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2004","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T05:34:46.410Z","metadata":{"doi":"10.25504/FAIRsharing.mewhad","name":"ClinicalTrials.gov","status":"ready","contacts":[{"contact_name":"NLM Communications","contact_email":"NLMCommunications@nih.gov","contact_orcid":null}],"homepage":"https://clinicaltrials.gov/","citations":[],"identifier":2004,"description":"ClinicalTrials.gov hosts a large collection of clinical studies from around the world. You can search for clinical studies by condition or disease name or other terms such as a drug name. Note: ClinicalTrials.gov is an official website of the U.S. Department of Health and Human Services, National Institutes of Health, National Library of Medicine, and National Center for Biotechnology Information. The National Library of Medicine (NLM) maintains this website. ","abbreviation":null,"data_curation":{"url":"https://clinicaltrials.gov/ct2/manage-recs/resources#DataElement","type":"manual","notes":"Data Element Definitions, Templates, and Checklists"},"support_links":[{"url":"helpdesk@ecma-international.org","name":"ECMA Specification Helpdesk","type":"Support email"},{"url":"https://www.json.org/json-en.html","name":"ECMA Specification Documentation","type":"Help documentation"},{"url":"https://www.rfc-editor.org/errata/rfc8259","name":"View RFC Errata","type":"Help documentation"},{"url":"https://fr.wikipedia.org/wiki/JavaScript_Object_Notation","name":"Wikipedia","type":"Wikipedia"},{"url":"https://clinicaltrials.gov/ct2/about-studies/glossary","name":"Glossary of Common Site Terms","type":"Help documentation"},{"url":"https://clinicaltrials.gov/ct2/manage-recs/resources#DataElement","name":"Data Element Definitions, Templates, and Checklists","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://grants.nih.gov/policy/humansubjects/hs-decision.htm","name":"NIH Decision Tool: Human Subjects Questionnaires"},{"url":"https://grants.nih.gov/ct-decision/index.htm","name":"NIH Decision Tool: Clinical Trials Questionnaires"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010211","name":"re3data:r3d100010211","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002309","name":"SciCrunch:RRID:SCR_002309","portal":"SciCrunch"}],"data_access_condition":{"url":"https://clinicaltrials.gov/ct2/about-site/terms-conditions#Availability","type":"partially open","notes":"https://clinicaltrials.gov/ct2/about-site/terms-conditions#Availability"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/bmic-about.html","name":"sustained support"},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html","name":"NIH-Supported Data Sharing Resource"},"data_deposition_condition":{"url":"https://clinicaltrials.gov/ct2/manage-recs/submit-study","type":"controlled","notes":"Protocol Registration and Results System (PRS) Registration Required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000470","bsg-d000470"],"name":"FAIRsharing record for: ClinicalTrials.gov","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.mewhad","doi":"10.25504/FAIRsharing.mewhad","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ClinicalTrials.gov hosts a large collection of clinical studies from around the world. You can search for clinical studies by condition or disease name or other terms such as a drug name. Note: ClinicalTrials.gov is an official website of the U.S. Department of Health and Human Services, National Institutes of Health, National Library of Medicine, and National Center for Biotechnology Information. The National Library of Medicine (NLM) maintains this website. ","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17402},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10780},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10956},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11073},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12313},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12673}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Data Management","Immunology","Pharmacology","Biomedical Science","Omics","Epidemiology","Preclinical Studies"],"domains":["Drug report","Resource metadata","Biobank","Protocol","Study design","Disease","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":468,"pubmed_id":15361058,"title":"Design, implementation and management of a web-based data entry system for ClinicalTrials.gov.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/15361058","authors":"Gillen JE., Tse T., Ide NC., McCray AT.,","journal":"Stud Health Technol Inform","doi":null,"created_at":"2021-09-30T08:23:10.860Z","updated_at":"2021-09-30T08:23:10.860Z"},{"id":1209,"pubmed_id":27294570,"title":"ClinicalTrials.gov and Drugs@FDA: A Comparison of Results Reporting for New Drug Approval Trials.","year":2016,"url":"http://doi.org/10.7326/M15-2658","authors":"Schwartz LM,Woloshin S,Zheng E,Tse T,Zarin DA","journal":"Ann Intern Med","doi":"10.7326/M15-2658","created_at":"2021-09-30T08:24:34.749Z","updated_at":"2021-09-30T08:24:34.749Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":2890,"relation":"applies_to_content"},{"licence_name":"NLM NIH Copyright","licence_id":593,"licence_url":"http://www.nlm.nih.gov/copyright.html","link_id":2889,"relation":"applies_to_content"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1866,"relation":"undefined"},{"licence_name":"HHS Vulnerability Disclosure Policy","licence_id":965,"licence_url":"https://www.hhs.gov/vulnerability-disclosure-policy/index.html","link_id":2892,"relation":"applies_to_content"},{"licence_name":"ClinivalTrials.gov Terms \u0026 Conditions ( May 2014)","licence_id":995,"licence_url":"https://clinicaltrials.gov/ct2/about-site/terms-conditions","link_id":2891,"relation":"applies_to_content"}],"grants":[{"id":1377,"fairsharing_record_id":2004,"organisation_id":2045,"relation":"maintains","created_at":"2021-09-30T09:25:04.500Z","updated_at":"2021-09-30T09:25:04.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9926,"fairsharing_record_id":2004,"organisation_id":2944,"relation":"associated_with","created_at":"2022-09-27T21:49:03.027Z","updated_at":"2022-09-27T21:49:03.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":9927,"fairsharing_record_id":2004,"organisation_id":2035,"relation":"funds","created_at":"2022-09-27T21:49:03.029Z","updated_at":"2022-09-27T21:49:03.029Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9928,"fairsharing_record_id":2004,"organisation_id":3716,"relation":"associated_with","created_at":"2022-09-27T21:49:03.154Z","updated_at":"2022-09-27T21:49:03.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":3716,"name":"The U.S. Department of Health \u0026 Human Services, Office of Inspector General","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2005","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-08T10:41:57.414Z","metadata":{"doi":"10.25504/FAIRsharing.qrw6b7","name":"Rice Genome Annotation Project","status":"ready","contacts":[{"contact_name":"C. Robin Buell","contact_email":"buell@msu.edu"}],"homepage":"http://rice.uga.edu/","citations":[],"identifier":2005,"description":"This website provides genome sequence from the Nipponbare subspecies of rice and annotation of the 12 rice chromosomes. These data are available through search pages and the Genome Browser that provides an integrated display of annotation data.","abbreviation":"RGAP","data_curation":{"url":"http://rice.uga.edu/annotation_community_info.shtml","type":"manual"},"support_links":[{"url":"buell.lab.web@gmail.com","type":"Support email"},{"url":"http://rice.uga.edu/home_faq.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://rice.uga.edu/home_training_opportunities.shtml","type":"Training documentation"},{"url":"http://rice.uga.edu/home_overview.shtml","name":"Home Overview","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000471","bsg-d000471"],"name":"FAIRsharing record for: Rice Genome Annotation Project","abbreviation":"RGAP","url":"https://fairsharing.org/10.25504/FAIRsharing.qrw6b7","doi":"10.25504/FAIRsharing.qrw6b7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This website provides genome sequence from the Nipponbare subspecies of rice and annotation of the 12 rice chromosomes. These data are available through search pages and the Genome Browser that provides an integrated display of annotation data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Chromosome"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1508,"pubmed_id":17145706,"title":"The TIGR Rice Genome Annotation Resource: improvements and new features.","year":2006,"url":"http://doi.org/10.1093/nar/gkl976","authors":"Ouyang S., Zhu W., Hamilton J., Lin H., Campbell M., Childs K., Thibaud-Nissen F., Malek RL., Lee Y., Zheng L., Orvis J., Haas B., Wortman J., Buell CR.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl976","created_at":"2021-09-30T08:25:08.828Z","updated_at":"2021-09-30T08:25:08.828Z"}],"licence_links":[{"licence_name":"Rice Genome Annotation Project Attribution required","licence_id":712,"licence_url":"http://rice.plantbiology.msu.edu/index.shtml","link_id":115,"relation":"undefined"}],"grants":[{"id":1378,"fairsharing_record_id":2005,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:04.529Z","updated_at":"2021-09-30T09:29:19.375Z","grant_id":195,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-0321538","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8374,"fairsharing_record_id":2005,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:19.109Z","updated_at":"2021-09-30T09:32:19.154Z","grant_id":1564,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-0834043","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11698,"fairsharing_record_id":2005,"organisation_id":4334,"relation":"maintains","created_at":"2024-04-08T09:26:28.078Z","updated_at":"2024-04-08T09:26:28.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":4334,"name":"College of Agricultural \u0026 Environmental Sciences, University of Georgia, Athens, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2020","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-09-14T14:04:18.793Z","metadata":{"doi":"10.25504/FAIRsharing.t5ha5j","name":"Cell Centered Database","status":"deprecated","contacts":[{"contact_name":"CCDB Webmaster","contact_email":"webmaster@ccdb.ucsd.edu"}],"homepage":"http://ccdb.ucsd.edu/home","citations":[],"identifier":2020,"description":"The Cell Centered Database (CCDB) is a web accessible database for high resolution 2D, 3D and 4D data from light and electron microscopy, including correlated imaging.","abbreviation":"CCDB","data_curation":{},"support_links":[{"url":"http://ccdb.ucsd.edu/help/index.shtm","type":"Help documentation"},{"url":"https://twitter.com/ccdbuser","type":"Twitter"}],"year_creation":1998,"data_versioning":"not found","associated_tools":[{"url":"http://ccdb.ucsd.edu/sand/jsp/lite_search.jsp","name":"advanced search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100000018","name":"r3d100000018","portal":"re3data"}],"deprecation_date":"2017-01-01","deprecation_reason":"The contents of this resource were merged with the Cell Image Library in 2017. For more information, see also http://library.ucsd.edu/dc/collection/bb5940732k","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000487","bsg-d000487"],"name":"FAIRsharing record for: Cell Centered Database","abbreviation":"CCDB","url":"https://fairsharing.org/10.25504/FAIRsharing.t5ha5j","doi":"10.25504/FAIRsharing.t5ha5j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cell Centered Database (CCDB) is a web accessible database for high resolution 2D, 3D and 4D data from light and electron microscopy, including correlated imaging.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11084}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Cell","Microscopy","Imaging","Image"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Digital reconstruction"],"countries":["United States"],"publications":[{"id":455,"pubmed_id":15043222,"title":"The cell-centered database: a database for multiscale structural and protein localization data from light and electron microscopy.","year":2004,"url":"http://doi.org/10.1385/NI:1:4:379","authors":"Martone ME., Zhang S., Gupta A., Qian X., He H., Price DL., Wong M., Santini S., Ellisman MH.,","journal":"Neuroinformatics","doi":"10.1385/NI:1:4:379","created_at":"2021-09-30T08:23:09.384Z","updated_at":"2021-09-30T08:23:09.384Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":17,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":19,"relation":"undefined"}],"grants":[{"id":1414,"fairsharing_record_id":2020,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:05.800Z","updated_at":"2021-09-30T09:25:05.800Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1415,"fairsharing_record_id":2020,"organisation_id":1967,"relation":"maintains","created_at":"2021-09-30T09:25:05.839Z","updated_at":"2021-09-30T09:25:05.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1967,"name":"National Center for Microscopy and Imaging Research (NCMIR), La Jolla, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2033","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:34:58.678Z","metadata":{"doi":"10.25504/FAIRsharing.qe8tz8","name":"HOGENOM","status":"ready","contacts":[{"contact_name":"Simon Penel","contact_email":"penel@biomserv.univ-lyon1.fr"}],"homepage":"http://hogenom.univ-lyon1.fr/","identifier":2033,"description":"HOGENOM is a phylogenomic database providing families of homologous genes and associated phylogenetic trees (and sequence alignments) for a wide set sequenced organisms.","abbreviation":"HOGENOM","data_curation":{"url":"http://hogenom.univ-lyon1.fr/doc","type":"manual/automated","notes":"Data has been selected, clustered, aligned, etc ..."},"support_links":[{"url":"http://hogenom.univ-lyon1.fr/about","type":"Help documentation"},{"url":"http://hogenom.univ-lyon1.fr/doc","type":"Help documentation"},{"url":"http://hogenom.univ-lyon1.fr/contents","name":"Information about the content","type":"Help documentation"}],"year_creation":2008,"data_versioning":"yes","data_access_condition":{"url":"http://hogenom.univ-lyon1.fr/doc","type":"open","notes":"licensed under http://www.cecill.info licence"},"data_contact_information":"yes","data_deposition_condition":{"url":"http://hogenom.univ-lyon1.fr/doc","type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000500","bsg-d000500"],"name":"FAIRsharing record for: HOGENOM","abbreviation":"HOGENOM","url":"https://fairsharing.org/10.25504/FAIRsharing.qe8tz8","doi":"10.25504/FAIRsharing.qe8tz8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HOGENOM is a phylogenomic database providing families of homologous genes and associated phylogenetic trees (and sequence alignments) for a wide set sequenced organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11352},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12168}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Phylogenetics","Life Science"],"domains":["Classification","Sequence","Homologous","Orthologous"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":508,"pubmed_id":19534752,"title":"Databases of homologous gene families for comparative genomics.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-S6-S3","authors":"Penel S., Arigon AM., Dufayard JF., Sertier AS., Daubin V., Duret L., Gouy M., Perrière G.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-S6-S3","created_at":"2021-09-30T08:23:15.409Z","updated_at":"2021-09-30T08:23:15.409Z"}],"licence_links":[{"licence_name":"CeCILL license","licence_id":112,"licence_url":"https://cecill.info/licences.fr.html","link_id":296,"relation":"undefined"}],"grants":[{"id":1454,"fairsharing_record_id":2033,"organisation_id":2298,"relation":"maintains","created_at":"2021-09-30T09:25:07.176Z","updated_at":"2021-09-30T09:25:07.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":2298,"name":"PBIL, Lyon, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1455,"fairsharing_record_id":2033,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:07.215Z","updated_at":"2021-09-30T09:32:21.586Z","grant_id":1584,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-08-EMER-011-03","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2034","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T13:22:45.184Z","metadata":{"doi":"10.25504/FAIRsharing.dg1f0e","name":"Homologous Vertebrate Genes Database","status":"deprecated","contacts":[{"contact_name":"Laurent Duret","contact_email":"duret@biomserv.univ-lyon1.fr","contact_orcid":"0000-0003-2836-3463"}],"homepage":"http://pbil.univ-lyon1.fr/databases/hovergen.html","citations":[],"identifier":2034,"description":"HOVERGEN is a database of homologous vertebrate genes that allows one to select sets of homologous genes among vertebrate species, and to visualize multiple alignments and phylogenetic trees.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","abbreviation":"HOVERGEN","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2024-04-17","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000501","bsg-d000501"],"name":"FAIRsharing record for: Homologous Vertebrate Genes Database","abbreviation":"HOVERGEN","url":"https://fairsharing.org/10.25504/FAIRsharing.dg1f0e","doi":"10.25504/FAIRsharing.dg1f0e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HOVERGEN is a database of homologous vertebrate genes that allows one to select sets of homologous genes among vertebrate species, and to visualize multiple alignments and phylogenetic trees.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Protein","Gene"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":495,"pubmed_id":15713731,"title":"Tree pattern matching in phylogenetic trees: automatic search for orthologs or paralogs in homologous gene sequence databases.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti325","authors":"Dufayard JF., Duret L., Penel S., Gouy M., Rechenmann F., Perrière G.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti325","created_at":"2021-09-30T08:23:13.791Z","updated_at":"2021-09-30T08:23:13.791Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1253,"relation":"undefined"}],"grants":[{"id":1456,"fairsharing_record_id":2034,"organisation_id":2298,"relation":"maintains","created_at":"2021-09-30T09:25:07.252Z","updated_at":"2021-09-30T09:25:07.252Z","grant_id":null,"is_lead":false,"saved_state":{"id":2298,"name":"PBIL, Lyon, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2035","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:15.542Z","metadata":{"doi":"10.25504/FAIRsharing.vssch2","name":"PIR SuperFamily","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"pirmail@georgetown.edu"}],"homepage":"https://proteininformationresource.org/pirwww/dbinfo/pirsf.shtml","identifier":2035,"description":"The PIR SuperFamily concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships.","abbreviation":"PIRSF","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://proteininformationresource.org/pirwww/about/doc/tutorials/pirsftutorial.ppt","name":"Tutorial (PPT)","type":"Training documentation"}],"year_creation":1984,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://proteininformationresource.org/pirwww/about/linkpir.shtml","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000502","bsg-d000502"],"name":"FAIRsharing record for: PIR SuperFamily","abbreviation":"PIRSF","url":"https://fairsharing.org/10.25504/FAIRsharing.vssch2","doi":"10.25504/FAIRsharing.vssch2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PIR SuperFamily concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Molecular structure","Sequence cluster","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2898,"pubmed_id":14681371,"title":"PIRSF: family classification system at the Protein Information Resource.","year":2003,"url":"http://doi.org/10.1093/nar/gkh097","authors":"Wu CH., Nikolskaya A., Huang H., Yeh LS., Natale DA., Vinayaka CR., Hu ZZ., Mazumder R., Kumar S., Kourtesis P., Ledley RS., Suzek BE., Arminski L., Chen Y., Zhang J., Cardenas JL., Chung S., Castro-Alvear J., Dinkov G., Barker WC.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh097","created_at":"2021-09-30T08:27:56.848Z","updated_at":"2021-09-30T08:27:56.848Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1932,"relation":"undefined"},{"licence_name":"PIR Terms of Use","licence_id":669,"licence_url":"https://proteininformationresource.org/pirwww/dbinfo/pirsf.shtml","link_id":1933,"relation":"undefined"}],"grants":[{"id":1459,"fairsharing_record_id":2035,"organisation_id":3047,"relation":"maintains","created_at":"2021-09-30T09:25:07.434Z","updated_at":"2021-09-30T09:25:07.434Z","grant_id":null,"is_lead":false,"saved_state":{"id":3047,"name":"University of Delaware, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1462,"fairsharing_record_id":2035,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:07.547Z","updated_at":"2021-09-30T09:25:07.547Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1458,"fairsharing_record_id":2035,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:07.395Z","updated_at":"2021-09-30T09:25:07.395Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1460,"fairsharing_record_id":2035,"organisation_id":1129,"relation":"maintains","created_at":"2021-09-30T09:25:07.477Z","updated_at":"2021-09-30T09:25:07.477Z","grant_id":null,"is_lead":false,"saved_state":{"id":1129,"name":"Georgetown University Medical Center , Georgetown University, Washington DC, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9244,"fairsharing_record_id":2035,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.911Z","updated_at":"2022-04-11T12:07:24.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2036","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-24T15:02:05.285Z","metadata":{"doi":"10.25504/FAIRsharing.bdv7z3","name":"PRofils pour l'Identification Automatique du Metabolisme","status":"deprecated","contacts":[{"contact_name":"Daniel Kahn","contact_email":"dkahn@toulouse.inra.fr"}],"homepage":"http://priam.prabi.fr/","citations":[],"identifier":2036,"description":"In English, PRIAM stands for enzyme-specific profiles for metabolic pathway prediction. PRIAM is a method for automated enzyme detection in a fully sequenced genome, based on all sequences available in the ENZYME database.","abbreviation":"PRIAM","data_curation":{"type":"not found"},"support_links":[{"url":"priam@listes.univ-lyon1.fr","type":"Support email"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2023-02-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000503","bsg-d000503"],"name":"FAIRsharing record for: PRofils pour l'Identification Automatique du Metabolisme","abbreviation":"PRIAM","url":"https://fairsharing.org/10.25504/FAIRsharing.bdv7z3","doi":"10.25504/FAIRsharing.bdv7z3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In English, PRIAM stands for enzyme-specific profiles for metabolic pathway prediction. PRIAM is a method for automated enzyme detection in a fully sequenced genome, based on all sequences available in the ENZYME database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme","Pathway model"],"taxonomies":["All"],"user_defined_tags":["Genome Context","Metabolic pathway prediction profile"],"countries":["France"],"publications":[{"id":486,"pubmed_id":14602924,"title":"Enzyme-specific profiles for genome annotation: PRIAM.","year":2003,"url":"http://doi.org/10.1093/nar/gkg847","authors":"Claudel-Renard C., Chevalet C., Faraut T., Kahn D.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg847","created_at":"2021-09-30T08:23:12.859Z","updated_at":"2021-09-30T08:23:12.859Z"}],"licence_links":[],"grants":[{"id":1463,"fairsharing_record_id":2036,"organisation_id":2439,"relation":"maintains","created_at":"2021-09-30T09:25:07.571Z","updated_at":"2021-09-30T09:25:07.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":2439,"name":"Rhone-Alpes Bioinformatics Center (PRABI) platform, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2037","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:34:37.714Z","metadata":{"doi":"10.25504/FAIRsharing.c54ywe","name":"ArachnoServer: Spider toxin database","status":"deprecated","contacts":[{"contact_name":"Glenn King","contact_email":"glenn.king@imb.uq.edu.au"}],"homepage":"http://www.arachnoserver.org","identifier":2037,"description":"ArachnoServer is a manually curated database containing information on the sequence, three-dimensional structure, and biological activity of protein toxins derived from spider venom.","abbreviation":"ArachnoServer","data_curation":{"type":"not found"},"support_links":[{"url":"support@arachnoserver.org","type":"Support email"},{"url":"http://www.arachnoserver.org/docs/ArachnoServerUserManual.pdf","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://www.arachnoserver.org/blastForm.html","name":"BLAST"},{"url":"http://www.arachnoserver.org/toxNoteMainMenu.html","name":"ToxNote"}],"deprecation_date":"2021-06-24","deprecation_reason":"The database is no longer available. Message on the homepage : \"Unfortunately, given the age of the database and the fact that it was no longer compliant with today’s safety standards of web hosting by The University of Queensland (as exposed by recent hacker attacks), it was decided to take ArachnoServer offline, until a more permanent solution can be found to fix these issues (which might require rebuilding the entire database from scratch). As soon as we have decided how to proceed we will make an announcement in the IST newsletter. We are sorry for this inconvenience, but at least the existing toxin records should still be available via UniProt.\"","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000504","bsg-d000504"],"name":"FAIRsharing record for: ArachnoServer: Spider toxin database","abbreviation":"ArachnoServer","url":"https://fairsharing.org/10.25504/FAIRsharing.c54ywe","doi":"10.25504/FAIRsharing.c54ywe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ArachnoServer is a manually curated database containing information on the sequence, three-dimensional structure, and biological activity of protein toxins derived from spider venom.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11247},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16647}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Peptide","Drug","Protein","Toxicity"],"taxonomies":["Arachnida"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":492,"pubmed_id":21036864,"title":"ArachnoServer 2.0, an updated online resource for spider toxin sequences and structures.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1058","authors":"Herzig V., Wood DL., Newell F., Chaumeil PA., Kaas Q., Binford GJ., Nicholson GM., Gorse D., King GF.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1058","created_at":"2021-09-30T08:23:13.477Z","updated_at":"2021-09-30T08:23:13.477Z"}],"licence_links":[],"grants":[{"id":1465,"fairsharing_record_id":2037,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:25:07.626Z","updated_at":"2021-09-30T09:25:07.626Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1466,"fairsharing_record_id":2037,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:25:07.662Z","updated_at":"2021-09-30T09:29:16.203Z","grant_id":168,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"DP0774245","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1464,"fairsharing_record_id":2037,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:07.597Z","updated_at":"2021-09-30T09:25:07.597Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1467,"fairsharing_record_id":2037,"organisation_id":2395,"relation":"maintains","created_at":"2021-09-30T09:25:07.698Z","updated_at":"2021-09-30T09:25:07.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":2395,"name":"Queensland Facility for Advanced Bioinformatics, Australia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":8442,"fairsharing_record_id":2037,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:32:39.668Z","updated_at":"2021-09-30T09:32:39.716Z","grant_id":1722,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"DP0878450","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2029","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:19.270Z","metadata":{"doi":"10.25504/FAIRsharing.hcr23j","name":"Biospecimens/Biorepositories: Rare Disease Hub","status":"deprecated","contacts":[{"contact_email":"ordr@nih.gov"}],"homepage":"http://biospecimens.ordr.info.nih.gov/default.aspx","identifier":2029,"description":"The Biospecimens/Biorepositories Website: Rare Disease-HUB (RD-HUB) contains a searchable database of biospecimens collected, stored, and distributed by biorepositories in the United States and around the globe. RD-HUB is designed to help and assist interested parties and investigators search, locate, and identify desired biospecimens needed for the research and to facilitate collaboration and sharing of material and data among investigators across the globe.","abbreviation":"RD-HUB","data_curation":{"type":"not found"},"support_links":[{"url":"http://biospecimens.ordr.info.nih.gov/Contact.aspx","type":"Contact form"},{"url":"http://biospecimens.ordr.info.nih.gov/FAQs.aspx","type":"Frequently Asked Questions (FAQs)"},{"url":"http://rarediseases.info.nih.gov/files/Permitted_Field_Values.xlsx","type":"Help documentation"},{"url":"http://rarediseases.info.nih.gov/files/User_Manual_Database_Search.pdf","type":"Training documentation"},{"url":"http://rarediseases.info.nih.gov/files/User_Manual_Data_Entry.pdf","type":"Training documentation"},{"url":"https://twitter.com/Biospecimens","type":"Twitter"}],"data_versioning":"not found","associated_tools":[{"url":"http://biospecimens.ordr.info.nih.gov/Contributingrepository.aspx","name":"submit"},{"url":"http://biospecimens.ordr.info.nih.gov/Locator.aspx","name":"search"}],"deprecation_date":"2016-06-30","deprecation_reason":"Discussion with Henrietta Hyatt-Knorr from NIH NCATS reveals that this database is no longer available and has been replaced by a list of resources, at http://www.ncats.nih.gov/grdr/rdhub","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000496","bsg-d000496"],"name":"FAIRsharing record for: Biospecimens/Biorepositories: Rare Disease Hub","abbreviation":"RD-HUB","url":"https://fairsharing.org/10.25504/FAIRsharing.hcr23j","doi":"10.25504/FAIRsharing.hcr23j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biospecimens/Biorepositories Website: Rare Disease-HUB (RD-HUB) contains a searchable database of biospecimens collected, stored, and distributed by biorepositories in the United States and around the globe. RD-HUB is designed to help and assist interested parties and investigators search, locate, and identify desired biospecimens needed for the research and to facilitate collaboration and sharing of material and data among investigators across the globe.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11092}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Biological sample annotation","Biological sample","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1444,"fairsharing_record_id":2029,"organisation_id":2269,"relation":"maintains","created_at":"2021-09-30T09:25:06.820Z","updated_at":"2021-09-30T09:25:06.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2269,"name":"ORDR","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2024","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:43.249Z","metadata":{"doi":"10.25504/FAIRsharing.hsyjka","name":"National Database for Autism Research","status":"deprecated","contacts":[{"contact_email":"ndarhelp@mail.nih.gov"}],"homepage":"http://ndar.nih.gov/","identifier":2024,"description":"National Database for Autism Research (NDAR) is an extensible, scalable informatics platform for austism spectrum disorder-relevant data at all levels of biological and behavioral organization (molecules, genes, neural tissue, behavioral, social and environmental interactions) and for all data types (text, numeric, image, time series, etc.). NDAR was developed to share data across the entire ASD field and to facilitate collaboration across laboratories, as well as interconnectivity with other informatics platforms.","abbreviation":"NDAR","data_curation":{"type":"not found"},"support_links":[{"url":"NDARHelp@mail.nih.gov","type":"Support email"},{"url":"https://ndar.nih.gov/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ndar.nih.gov/training.html","type":"Training documentation"},{"url":"https://twitter.com/NDAR_NIH","type":"Twitter"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://ndar.nih.gov/contribute.html","name":"Submission Process"},{"url":"http://ndar.nih.gov/query_data.html","name":"Query"},{"url":"http://ndar.nih.gov/data_from_labs.html","name":"Browse"},{"url":"http://ndar.nih.gov/cloud_overview.html","name":"Cloud User Access"}],"deprecation_date":"2020-10-25","deprecation_reason":"This resource has been merged with the NIMH Data Archive.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000491","bsg-d000491"],"name":"FAIRsharing record for: National Database for Autism Research","abbreviation":"NDAR","url":"https://fairsharing.org/10.25504/FAIRsharing.hsyjka","doi":"10.25504/FAIRsharing.hsyjka","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: National Database for Autism Research (NDAR) is an extensible, scalable informatics platform for austism spectrum disorder-relevant data at all levels of biological and behavioral organization (molecules, genes, neural tissue, behavioral, social and environmental interactions) and for all data types (text, numeric, image, time series, etc.). NDAR was developed to share data across the entire ASD field and to facilitate collaboration across laboratories, as well as interconnectivity with other informatics platforms.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10790},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10959},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11088}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Autistic disorder","Behavior","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":480,"pubmed_id":22622767,"title":"Sharing heterogeneous data: the national database for autism research.","year":2012,"url":"http://doi.org/10.1007/s12021-012-9151-4","authors":"Hall D., Huerta MF., McAuliffe MJ., Farber GK.,","journal":"Neuroinformatics","doi":"10.1007/s12021-012-9151-4","created_at":"2021-09-30T08:23:12.159Z","updated_at":"2021-09-30T08:23:12.159Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":134,"relation":"undefined"}],"grants":[{"id":1427,"fairsharing_record_id":2024,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:06.242Z","updated_at":"2021-09-30T09:25:06.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1428,"fairsharing_record_id":2024,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:06.281Z","updated_at":"2021-09-30T09:25:06.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2026","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:12:05.115Z","metadata":{"doi":"10.25504/FAIRsharing.72j8ph","name":"Parkinson's Disease Biomarkers Program Data Management Resource","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"PDBP-HELP@mail.nih.gov"}],"homepage":"https://pdbp.ninds.nih.gov/","identifier":2026,"description":"The NINDS Parkinson's Disease (PD) Biomarkers Program Data Management Resource enables web-based data entry for clinical studies supporting PD biomarker development, as well as broad data sharing (imaging, clinical, genetic, and biospecimen analysis) across the entire PD research community. The PDBP DMR coordinates information and access to PD biospecimens distributed through the NINDS Human Genetics, DNA, iPSC , Cell Line and Biospecimen Repository and the Harvard Neurodiscovery Initiative.","abbreviation":"PDBP DMR","data_curation":{"type":"not found"},"support_links":[{"url":"https://pdbp.ninds.nih.gov/policy","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"url":"https://pdbp.ninds.nih.gov/how-to-guide#request-access-to-the-dmr","type":"controlled","notes":"Request access to the DMR"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://pdbp.ninds.nih.gov/how-to-guide#submit-data-to-the-dmr","type":"controlled","notes":"A data submission request form and DMR Data Use Certificate must be completed, signed, and approved."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000493","bsg-d000493"],"name":"FAIRsharing record for: Parkinson's Disease Biomarkers Program Data Management Resource","abbreviation":"PDBP DMR","url":"https://fairsharing.org/10.25504/FAIRsharing.72j8ph","doi":"10.25504/FAIRsharing.72j8ph","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NINDS Parkinson's Disease (PD) Biomarkers Program Data Management Resource enables web-based data entry for clinical studies supporting PD biomarker development, as well as broad data sharing (imaging, clinical, genetic, and biospecimen analysis) across the entire PD research community. The PDBP DMR coordinates information and access to PD biospecimens distributed through the NINDS Human Genetics, DNA, iPSC , Cell Line and Biospecimen Repository and the Harvard Neurodiscovery Initiative.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10792},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11090}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Biological sample annotation","Biomarker","Parkinson's disease","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"FOIA","licence_id":320,"licence_url":"https://www.nih.gov/institutes-nih/nih-office-director/office-communications-public-liaison/freedom-information-act-office","link_id":408,"relation":"undefined"},{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":411,"relation":"undefined"},{"licence_name":"PDBP Privacy Policy","licence_id":653,"licence_url":"https://pdbp.ninds.nih.gov/privacy","link_id":412,"relation":"undefined"}],"grants":[{"id":9314,"fairsharing_record_id":2026,"organisation_id":2023,"relation":"maintains","created_at":"2022-04-11T12:07:29.779Z","updated_at":"2022-04-11T12:07:29.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2027","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:54.310Z","metadata":{"doi":"10.25504/FAIRsharing.mbgt2n","name":"Oryzabase","status":"ready","contacts":[{"contact_name":"Nori Kurata","contact_email":"nkurata@lab.nig.ac.jp"}],"homepage":"http://www.shigen.nig.ac.jp/rice/oryzabase/","identifier":2027,"description":"The Oryzabase is a comprehensive rice science database established in 2000 by rice researcher's committee in Japan. The Oryzabase consists of five parts, (1) genetic resource stock information, (2) gene dictionary, (3) chromosome maps, (4) mutant images, and (5) fundamental knowledge of rice science.","abbreviation":"Oryzabase","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.shigen.nig.ac.jp/rice/oryzabaseV4/about/contactUs","type":"Contact form"},{"url":"http://shigen.nig.ac.jp/rice/oryzabase/about/updateInfo","type":"Help documentation"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"http://www.shigen.nig.ac.jp/rice/oryzabaseV4/blast/search","name":"BLAST"},{"url":"http://shigen.nig.ac.jp/rice/seganalysis/","name":"SegAnalysis"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://shigen.nig.ac.jp/rice/oryzabase_submission/gene_nomenclature/","type":"open","notes":"Genes can be submitted using an online submission form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000494","bsg-d000494"],"name":"FAIRsharing record for: Oryzabase","abbreviation":"Oryzabase","url":"https://fairsharing.org/10.25504/FAIRsharing.mbgt2n","doi":"10.25504/FAIRsharing.mbgt2n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oryzabase is a comprehensive rice science database established in 2000 by rice researcher's committee in Japan. The Oryzabase consists of five parts, (1) genetic resource stock information, (2) gene dictionary, (3) chromosome maps, (4) mutant images, and (5) fundamental knowledge of rice science.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Classification","Structure","Gene","Genome"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":339,"pubmed_id":16403737,"title":"Oryzabase. An integrated biological and genome information database for rice.","year":2006,"url":"http://doi.org/10.1104/pp.105.063008","authors":"Kurata N., Yamazaki Y.,","journal":"Plant Physiol.","doi":"10.1104/pp.105.063008","created_at":"2021-09-30T08:22:56.483Z","updated_at":"2021-09-30T08:22:56.483Z"}],"licence_links":[],"grants":[{"id":1436,"fairsharing_record_id":2027,"organisation_id":2182,"relation":"maintains","created_at":"2021-09-30T09:25:06.593Z","updated_at":"2021-09-30T09:25:06.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":2182,"name":"North Pacific Research Board (NPRB), USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2040","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:59.968Z","metadata":{"doi":"10.25504/FAIRsharing.52qw6p","name":"Description of Plant Viruses","status":"ready","contacts":[{"contact_name":"Mike Adams","contact_email":"mike.adams@bbsrc.ac.uk"}],"homepage":"http://www.dpvweb.net","identifier":2040,"description":"DPVweb provides a central source of information about viruses, viroids and satellites of plants, fungi and protozoa. Comprehensive taxonomic information, including brief descriptions of each family and genus, and classified lists of virus sequences are provided. The database also holds detailed, curated, information for all sequences of viruses, viroids and satellites of plants, fungi and protozoa that are complete or that contain at least one complete gene. The database will not be updated with sequence or taxonomic data from Aug 2013.","abbreviation":"DPVweb","data_curation":{"url":"https://www.dpvweb.net/","type":"manual","notes":"The automated submission forms generate PDFs that are reviewed by the AAB Virology group."},"year_creation":2004,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.aab.org.uk/dpv-submission-form/","type":"open","notes":"Descriptions of Plant Viruses’ can be submited by members of the community."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000507","bsg-d000507"],"name":"FAIRsharing record for: Description of Plant Viruses","abbreviation":"DPVweb","url":"https://fairsharing.org/10.25504/FAIRsharing.52qw6p","doi":"10.25504/FAIRsharing.52qw6p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DPVweb provides a central source of information about viruses, viroids and satellites of plants, fungi and protozoa. Comprehensive taxonomic information, including brief descriptions of each family and genus, and classified lists of virus sequences are provided. The database also holds detailed, curated, information for all sequences of viruses, viroids and satellites of plants, fungi and protozoa that are complete or that contain at least one complete gene. The database will not be updated with sequence or taxonomic data from Aug 2013.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Taxonomic classification","Sequence annotation","Classification","Gene"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["China","United Kingdom"],"publications":[{"id":497,"pubmed_id":16381892,"title":"DPVweb: a comprehensive database of plant and fungal virus genes and genomes.","year":2005,"url":"http://doi.org/10.1093/nar/gkj023","authors":"Adams MJ., Antoniw JF.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj023","created_at":"2021-09-30T08:23:13.996Z","updated_at":"2021-09-30T08:23:13.996Z"}],"licence_links":[{"licence_name":"DPVweb Copyright information","licence_id":252,"licence_url":"http://www.dpvweb.net/","link_id":1243,"relation":"undefined"}],"grants":[{"id":1472,"fairsharing_record_id":2040,"organisation_id":3277,"relation":"funds","created_at":"2021-09-30T09:25:07.956Z","updated_at":"2021-09-30T09:25:07.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":3277,"name":"Zhejiang Academy of Agriculture","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1470,"fairsharing_record_id":2040,"organisation_id":2459,"relation":"maintains","created_at":"2021-09-30T09:25:07.876Z","updated_at":"2021-09-30T09:25:07.876Z","grant_id":null,"is_lead":false,"saved_state":{"id":2459,"name":"Rothamsted Research, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1471,"fairsharing_record_id":2040,"organisation_id":123,"relation":"funds","created_at":"2021-09-30T09:25:07.919Z","updated_at":"2021-09-30T09:25:07.919Z","grant_id":null,"is_lead":false,"saved_state":{"id":123,"name":"Association of Applied Biologists, UK","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1473,"fairsharing_record_id":2040,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:07.989Z","updated_at":"2021-09-30T09:25:07.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2041","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T09:34:53.615Z","metadata":{"doi":"10.25504/FAIRsharing.f63h4k","name":"NARCIS","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"narcis@dans.knaw.nl"}],"homepage":"http://www.narcis.nl/?Language=en","citations":[],"identifier":2041,"description":"NARCIS provides access to scientific information, including (open access) publications from the repositories of all the Dutch universities, KNAW, NWO and a number of research institutes, which is not referenced in other citation databases.","abbreviation":"NARCIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.narcis.nl/faq/Language/en","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2004,"data_versioning":"not found","deprecation_date":"2023-05-18","deprecation_reason":"This resource has been decommissioned as of July 3, 2023 (see https://www.narcis.nl/decommission/Language/en). Further information is available at https://www.narcis.nl/faq/Language/en, and suggests deposition at OpenAIRE instead.","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000508","bsg-d000508"],"name":"FAIRsharing record for: NARCIS","abbreviation":"NARCIS","url":"https://fairsharing.org/10.25504/FAIRsharing.f63h4k","doi":"10.25504/FAIRsharing.f63h4k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NARCIS provides access to scientific information, including (open access) publications from the repositories of all the Dutch universities, KNAW, NWO and a number of research institutes, which is not referenced in other citation databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Bibliography","Publication","Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Data Archiving and Networked Services (DANS) Privacy Policy","licence_id":214,"licence_url":"https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/privacy-statement","link_id":1775,"relation":"undefined"},{"licence_name":"Data Archiving and Networked Services Disclaimer","licence_id":215,"licence_url":"https://dans.knaw.nl/en/about/organisation-and-policy/disclaimer/disclaimer","link_id":1774,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1773,"relation":"undefined"}],"grants":[{"id":1475,"fairsharing_record_id":2041,"organisation_id":644,"relation":"maintains","created_at":"2021-09-30T09:25:08.038Z","updated_at":"2021-09-30T09:25:08.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":644,"name":"Data Archiving and Networked Services (DANS), Den Hagg, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1474,"fairsharing_record_id":2041,"organisation_id":2464,"relation":"funds","created_at":"2021-09-30T09:25:08.013Z","updated_at":"2021-09-30T09:25:08.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":2464,"name":"Royal Netherlands Academy of Arts and Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1476,"fairsharing_record_id":2041,"organisation_id":125,"relation":"maintains","created_at":"2021-09-30T09:25:08.068Z","updated_at":"2021-09-30T09:25:08.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":125,"name":"Association of Universities in the Netherlands (VSNU)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1477,"fairsharing_record_id":2041,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:25:08.111Z","updated_at":"2021-09-30T09:25:08.111Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2031","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-23T16:28:26.243Z","metadata":{"doi":"10.25504/FAIRsharing.rs2815","name":"Protein Data Bank Japan","status":"ready","contacts":[{"contact_name":"Haruki Nakamura","contact_email":"harukin@protein.osaka-u.ac.jp","contact_orcid":"0000-0001-6690-5863"}],"homepage":"http://www.pdbj.org/","citations":[{"doi":"10.1002/pro.3273","pubmed_id":28815765,"publication_id":915},{"doi":"10.1093/nar/gkw962","pubmed_id":27789697,"publication_id":2916},{"doi":"10.1002/pro.4211","pubmed_id":null,"publication_id":3503}],"identifier":2031,"description":"PDBj (Protein Data Bank Japan) maintains the single global PDB/BMRB/EMDB archives of macromolecular structures and provide integrated tools, under the Joint Usage and Research activities of the Institute for Protein Research. Supports browsing in multiple languages such as Japanese, Chinese, and Korean; SeSAW identifies functionally or evolutionarily conserved motifs by locating and annotating sequence and structural similarities, tools for bioinformaticians, and more.","abbreviation":"PDBj","data_curation":{"url":"http://www.wwpdb.org/documentation/procedure","type":"manual/automated"},"support_links":[{"url":"http://pdbj.org/#!contact?tab=PDBjmaster","type":"Contact form"},{"url":"https://pdbj.org/help/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://pdbj.org/help/","type":"Help documentation"},{"url":"https://twitter.com/PDBj_en","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://sysimm.ifrec.osaka-u.ac.jp/ash_service/","name":"ASH"},{"url":"http://pdbj.org/emnavi/viewtop.php","name":"Yorodumi"},{"url":"http://sysimm.ifrec.osaka-u.ac.jp/MAFFTash/","name":"MAFFTash 4.1"},{"url":"http://bmrbdep.pdbj.org/en/nmrtoolbox/","name":"NMR Tool Box"},{"url":"http://pdbj.org/gmfit/","name":"Pairwise gmfit"},{"url":"http://pdbj.org/crnpred/","name":"CRNPRED"},{"url":"http://pdbj.org/spanner/","name":"Spanner"},{"url":"https://sysimm.ifrec.osaka-u.ac.jp/pipeline7/","name":"SFAS"},{"url":"http://homcos.pdbj.org/?LANG=en","name":"HOMCOS"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010910","name":"re3data:r3d100010910","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008912","name":"SciCrunch:RRID:SCR_008912","portal":"SciCrunch"}],"data_access_condition":{"url":"https://pdbj.org/info/terms-conditions","type":"open"},"resource_sustainability":{"url":"http://www.wwpdb.org/about/faq","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://deposit-pdbj.wwpdb.org/deposition","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000498","bsg-d000498"],"name":"FAIRsharing record for: Protein Data Bank Japan","abbreviation":"PDBj","url":"https://fairsharing.org/10.25504/FAIRsharing.rs2815","doi":"10.25504/FAIRsharing.rs2815","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBj (Protein Data Bank Japan) maintains the single global PDB/BMRB/EMDB archives of macromolecular structures and provide integrated tools, under the Joint Usage and Research activities of the Institute for Protein Research. Supports browsing in multiple languages such as Japanese, Chinese, and Korean; SeSAW identifies functionally or evolutionarily conserved motifs by locating and annotating sequence and structural similarities, tools for bioinformaticians, and more.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12315},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12677}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Bioinformatics","Structural Biology","Proteomics","Virology","Epidemiology"],"domains":["Molecular structure","Function analysis","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Japan"],"publications":[{"id":915,"pubmed_id":28815765,"title":"New tools and functions in data-out activities at Protein Data Bank Japan (PDBj).","year":2017,"url":"http://doi.org/10.1002/pro.3273","authors":"Kinjo AR,Bekker GJ,Wako H,Endo S,Tsuchiya Y,Sato H,Nishi H,Kinoshita K,Suzuki H,Kawabata T,Yokochi M,Iwata T,Kobayashi N,Fujiwara T,Kurisu G,Nakamura H","journal":"Protein Sci","doi":"10.1002/pro.3273","created_at":"2021-09-30T08:24:01.046Z","updated_at":"2021-09-30T08:24:01.046Z"},{"id":1350,"pubmed_id":21976737,"title":"Protein Data Bank Japan (PDBj): maintaining a structural data archive and resource description framework format.","year":2011,"url":"http://doi.org/10.1093/nar/gkr811","authors":"Kinjo AR., Suzuki H., Yamashita R., Ikegawa Y., Kudou T., Igarashi R., Kengaku Y., Cho H., Standley DM., Nakagawa A., Nakamura H.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr811","created_at":"2021-09-30T08:24:51.067Z","updated_at":"2021-09-30T08:24:51.067Z"},{"id":2913,"pubmed_id":12099029,"title":"[Development of PDBj: Advanced database for protein structures].","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12099029","authors":"Nakamura H,Ito N,Kusunoki M","journal":"Tanpakushitsu Kakusan Koso","doi":null,"created_at":"2021-09-30T08:27:58.798Z","updated_at":"2021-09-30T08:27:58.798Z"},{"id":2914,"pubmed_id":20798081,"title":"PDBj Mine: design and implementation of relational database interface for Protein Data Bank Japan.","year":2010,"url":"http://doi.org/10.1093/database/baq021","authors":"Kinjo AR,Yamashita R,Nakamura H","journal":"Database (Oxford)","doi":"10.1093/database/baq021","created_at":"2021-09-30T08:27:58.907Z","updated_at":"2021-09-30T08:27:58.907Z"},{"id":2915,"pubmed_id":21796434,"title":"Protein Data Bank Japan (PDBj): an interview with Haruki Nakamura of Osaka University by Wendy A. Warr.","year":2011,"url":"http://doi.org/10.1007/s10822-011-9460-y","authors":"Nakamura H","journal":"J Comput Aided Mol Des","doi":"10.1007/s10822-011-9460-y","created_at":"2021-09-30T08:27:59.016Z","updated_at":"2021-09-30T08:27:59.016Z"},{"id":2916,"pubmed_id":27789697,"title":"Protein Data Bank Japan (PDBj): updated user interfaces, resource description framework, analysis tools for large structures.","year":2016,"url":"http://doi.org/10.1093/nar/gkw962","authors":"Kinjo AR,Bekker GJ,Suzuki H,Tsuchiya Y,Kawabata T,Ikegawa Y,Nakamura H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw962","created_at":"2021-09-30T08:27:59.122Z","updated_at":"2021-09-30T11:29:48.770Z"},{"id":3503,"pubmed_id":null,"title":"Protein Data Bank Japan: Celebrating our 20th anniversary during a global pandemic as the Asian hub of three dimensional macromolecular structural data","year":2021,"url":"http://dx.doi.org/10.1002/pro.4211","authors":"Bekker, Gert‐Jan; Yokochi, Masashi; Suzuki, Hirofumi; Ikegawa, Yasuyo; Iwata, Takeshi; Kudou, Takahiro; Yura, Kei; Fujiwara, Toshimichi; Kawabata, Takeshi; Kurisu, Genji; ","journal":"Protein Science","doi":"10.1002/pro.4211","created_at":"2022-08-02T08:18:25.005Z","updated_at":"2022-08-02T08:18:25.005Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2778,"relation":"applies_to_content"}],"grants":[{"id":1450,"fairsharing_record_id":2031,"organisation_id":2335,"relation":"funds","created_at":"2021-09-30T09:25:07.037Z","updated_at":"2021-09-30T09:25:07.037Z","grant_id":null,"is_lead":false,"saved_state":{"id":2335,"name":"Platform Project for Supporting in Drug Discovery and Life Science Research, Japan Agency for Medical Research and Development","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1451,"fairsharing_record_id":2031,"organisation_id":1378,"relation":"funds","created_at":"2021-09-30T09:25:07.062Z","updated_at":"2021-09-30T09:25:07.062Z","grant_id":null,"is_lead":false,"saved_state":{"id":1378,"name":"Institute for Bioinformatics Research and Development, Japan Science and Technology Agency","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9736,"fairsharing_record_id":2031,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T08:19:45.182Z","updated_at":"2022-08-02T08:19:45.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1448,"fairsharing_record_id":2031,"organisation_id":2277,"relation":"maintains","created_at":"2021-09-30T09:25:06.980Z","updated_at":"2022-08-02T08:19:45.184Z","grant_id":null,"is_lead":true,"saved_state":{"id":2277,"name":"Osaka University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9027,"fairsharing_record_id":2031,"organisation_id":1595,"relation":"funds","created_at":"2022-03-24T15:13:58.529Z","updated_at":"2022-03-24T15:13:58.529Z","grant_id":1244,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science","grant":"26440078","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1449,"fairsharing_record_id":2031,"organisation_id":646,"relation":"funds","created_at":"2021-09-30T09:25:07.014Z","updated_at":"2021-09-30T09:25:07.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":646,"name":"Database Integration Coordination Program from the National Bioscience Database Center","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbkFCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--faf4b366223ded9869dc7b9398534b5cbb93478c/Screenshot%20from%202022-08-02%2009-15-29.png?disposition=inline","exhaustive_licences":false}},{"id":"2032","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:33:15.560Z","metadata":{"doi":"10.25504/FAIRsharing.33yggg","name":"PAZAR","status":"deprecated","contacts":[{"contact_name":"Wyeth W. Wasserman","contact_email":"wyeth@cmmt.ubc.ca","contact_orcid":"0000-0001-6098-6412"}],"homepage":"http://www.pazar.info/","identifier":2032,"description":"PAZAR is a software framework for the construction and maintenance of regulatory sequence data annotations; a framework which allows multiple boutique databases to function independently within a larger system (or information mall). The goal of PAZAR is to be the public repository for regulatory data.","abbreviation":"PAZAR","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.pazar.info/cgi-bin/help_FAQ.pl","type":"Help documentation"},{"url":"http://www.pazar.info/cgi-bin/overview.pl","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000499","bsg-d000499"],"name":"FAIRsharing record for: PAZAR","abbreviation":"PAZAR","url":"https://fairsharing.org/10.25504/FAIRsharing.33yggg","doi":"10.25504/FAIRsharing.33yggg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PAZAR is a software framework for the construction and maintenance of regulatory sequence data annotations; a framework which allows multiple boutique databases to function independently within a larger system (or information mall). The goal of PAZAR is to be the public repository for regulatory data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Ribonucleic acid","Regulation of gene expression","Biological regulation","Transcription factor"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":494,"pubmed_id":18971253,"title":"The PAZAR database of gene regulatory information coupled to the ORCA toolkit for the study of regulatory sequences.","year":2008,"url":"http://doi.org/10.1093/nar/gkn783","authors":"Portales-Casamar E., Arenillas D., Lim J., Swanson MI., Jiang S., McCallum A., Kirov S., Wasserman WW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn783","created_at":"2021-09-30T08:23:13.677Z","updated_at":"2021-09-30T08:23:13.677Z"},{"id":1617,"pubmed_id":17916232,"title":"PAZAR: a framework for collection and dissemination of cis-regulatory sequence annotation.","year":2007,"url":"http://doi.org/10.1186/gb-2007-8-10-r207","authors":"Portales-Casamar E,Kirov S,Lim J,Lithwick S,Swanson MI,Ticoll A,Snoddy J,Wasserman WW","journal":"Genome Biol","doi":"10.1186/gb-2007-8-10-r207","created_at":"2021-09-30T08:25:21.195Z","updated_at":"2021-09-30T08:25:21.195Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":710,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"4","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:36:09.096Z","metadata":{"doi":"10.25504/FAIRsharing.ezznsh","name":"Newick tree Format","status":"ready","contacts":[{"contact_name":"Joe Felsenstein","contact_email":"joe@gs.washington.edu"}],"homepage":"http://evolution.genetics.washington.edu/phylip/newicktree.html","identifier":4,"description":"The Newick Standard for representing trees in computer-readable form makes use of the correspondence between trees and nested parentheses, noticed in 1857 by the famous English mathematician Arthur Cayley.","abbreviation":null,"support_links":[{"url":"https://en.wikipedia.org/wiki/Newick_format","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":1986},"legacy_ids":["bsg-000250","bsg-s000250"],"name":"FAIRsharing record for: Newick tree Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ezznsh","doi":"10.25504/FAIRsharing.ezznsh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Newick Standard for representing trees in computer-readable form makes use of the correspondence between trees and nested parentheses, noticed in 1857 by the famous English mathematician Arthur Cayley.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12441}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Life Science","Comparative Genomics"],"domains":["Dendrogram","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4886,"fairsharing_record_id":4,"organisation_id":714,"relation":"maintains","created_at":"2021-09-30T09:27:06.132Z","updated_at":"2021-09-30T09:27:06.132Z","grant_id":null,"is_lead":true,"saved_state":{"id":714,"name":"Department of Genome Sciences, University of Washington, Seattle, United States","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"5","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:25:34.018Z","metadata":{"doi":"10.25504/FAIRsharing.1sgm8q","name":"BioModels Ontology","status":"uncertain","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"http://bioportal.bioontology.org/ontologies/BIOMODELS","identifier":5,"description":"The BioModels Ontology is an OWL Representation of the models in the BioModels repository. This resource has not been updated recently within BioPortal, and no official homepage can be found, therefore we have marked its status as Uncertain. Please get in touch with us if you have any information on this project.","abbreviation":null,"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BIOMODELS","name":"BIOMODELS","portal":"BioPortal"}]},"legacy_ids":["bsg-002795","bsg-s002795"],"name":"FAIRsharing record for: BioModels Ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1sgm8q","doi":"10.25504/FAIRsharing.1sgm8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioModels Ontology is an OWL Representation of the models in the BioModels repository. This resource has not been updated recently within BioPortal, and no official homepage can be found, therefore we have marked its status as Uncertain. Please get in touch with us if you have any information on this project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Mathematical model","Network model","Molecular entity","Modeling and simulation","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1784,"pubmed_id":21835028,"title":"Integrating systems biology models and biomedical ontologies.","year":2011,"url":"http://doi.org/10.1186/1752-0509-5-124","authors":"Hoehndorf R,Dumontier M,Gennari JH,Wimalaratne S,de Bono B,Cook DL,Gkoutos GV","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-5-124","created_at":"2021-09-30T08:25:40.213Z","updated_at":"2021-09-30T08:25:40.213Z"}],"licence_links":[],"grants":[{"id":4888,"fairsharing_record_id":5,"organisation_id":270,"relation":"maintains","created_at":"2021-09-30T09:27:06.212Z","updated_at":"2021-09-30T09:27:06.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":270,"name":"BioModels Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4889,"fairsharing_record_id":5,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:06.254Z","updated_at":"2021-09-30T09:31:20.773Z","grant_id":1128,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"248502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4887,"fairsharing_record_id":5,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:06.169Z","updated_at":"2021-09-30T09:31:23.229Z","grant_id":1146,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBG0043581","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"6","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-08-02T14:06:42.999Z","metadata":{"doi":"10.25504/FAIRsharing.5pp7gn","name":"Minimum Information about a Neuroscience Investigation","status":"ready","contacts":[],"homepage":"https://doi.org/10.1038/npre.2008.1720.1","citations":[],"identifier":6,"description":"This module represents the formalised opinion of the authors and the CARMEN consortium, which identifies the minimum information required to report the use of electrophysiology in a neuroscience study. A MINI module represents the minimum information that should be reported about a dataset to facilitate computational access and analysis to allow a reader to interpret and critically evaluate the processes performed and the conclusions reached, and to support their experimental corroboration. In practice a MINI module comprises a checklist of information that should be provided (for example about the protocols employed) when a data set is submitted to the CARMEN system. Please note that, while these guidelines remain available, the CARMEN project can no longer be accessed. Please let us know if you have any information regarding this resource.","abbreviation":"MINI","support_links":[{"url":"http://mibbi.sf.net/projects/MINI.shtml","name":"Historical MIBBI listing (MIBBI is now deprecated)","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000167","bsg-s000167"],"name":"FAIRsharing record for: Minimum Information about a Neuroscience Investigation","abbreviation":"MINI","url":"https://fairsharing.org/10.25504/FAIRsharing.5pp7gn","doi":"10.25504/FAIRsharing.5pp7gn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This module represents the formalised opinion of the authors and the CARMEN consortium, which identifies the minimum information required to report the use of electrophysiology in a neuroscience study. A MINI module represents the minimum information that should be reported about a dataset to facilitate computational access and analysis to allow a reader to interpret and critically evaluate the processes performed and the conclusions reached, and to support their experimental corroboration. In practice a MINI module comprises a checklist of information that should be provided (for example about the protocols employed) when a data set is submitted to the CARMEN system. Please note that, while these guidelines remain available, the CARMEN project can no longer be accessed. Please let us know if you have any information regarding this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11579},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11974}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Neuroscience","Electrophysiology"],"domains":["Neuron","Assay","Brain"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":3505,"pubmed_id":null,"title":"Minimum Information about a Neuroscience Investigation (MINI) Electrophysiology","year":2019,"url":"http://dx.doi.org/10.1038/npre.2008.1720.1","authors":"Gibson, Frank; Overton, Paul; Smulders, Tom; Schultz, Simon; Eglen, Stephen; Ingram, Colin; Panzeri, Stefano; Bream, Phil; Sernagor, Evelyne; Cunningham, Mark; Adams, Christopher; Echtermeyer, Christoph; Simonotto, Jennifer; Kaiser, Marcus; Swan, Daniel; Fletcher, Marty; Lord, Phillip; ","journal":"Nat Prec","doi":"10.1038/npre.2008.1720.1","created_at":"2022-08-02T14:02:00.372Z","updated_at":"2022-08-02T14:02:00.372Z"}],"licence_links":[],"grants":[{"id":9751,"fairsharing_record_id":6,"organisation_id":2145,"relation":"maintains","created_at":"2022-08-02T14:02:19.917Z","updated_at":"2022-08-02T14:02:19.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":2145,"name":"Newcastle University, Newcastle upon Tyne, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":4891,"fairsharing_record_id":6,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:06.416Z","updated_at":"2021-09-30T09:29:23.941Z","grant_id":231,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/I000984/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"7","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:40.207Z","metadata":{"doi":"10.25504/FAIRsharing.yecp83","name":"Spider Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Martin Ramirez","contact_email":"ramirez@macn.gov.ar","contact_orcid":"0000-0002-0358-0130"},{"contact_name":"Peter Michalik","contact_email":"michalik@uni-greifswald.de","contact_orcid":"0000-0003-2459-9153"}],"homepage":"https://github.com/obophenotype/spider-ontology","citations":[{"doi":"10.3390/d11100202","pubmed_id":null,"publication_id":3205}],"identifier":7,"description":"An ontology for spider comparative biology including anatomical parts (e.g. leg, claw), behavior (e.g. courtship, combing) and products (i.g. silk, web, borrow).","abbreviation":"SPD","support_links":[],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SPD","name":"Bioportal:SPD","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/spd.html","name":"OBOFoundry:spd","portal":"OBO Foundry"},{"url":"https://www.ebi.ac.uk/ols/ontologies/spd","name":"OLS:spd","portal":"OLS"}]},"legacy_ids":["bsg-000015","bsg-s000015"],"name":"FAIRsharing record for: Spider Anatomy Ontology","abbreviation":"SPD","url":"https://fairsharing.org/10.25504/FAIRsharing.yecp83","doi":"10.25504/FAIRsharing.yecp83","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology for spider comparative biology including anatomical parts (e.g. leg, claw), behavior (e.g. courtship, combing) and products (i.g. silk, web, borrow).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Behavior"],"taxonomies":["Arachnida"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3205,"pubmed_id":null,"title":"The Spider Anatomy Ontology (SPD)—A Versatile Tool to Link Anatomy with Cross-Disciplinary Data","year":2019,"url":"http://dx.doi.org/10.3390/d11100202","authors":"Ramírez, Martín J.; Michalik, Peter; ","journal":"Diversity","doi":"10.3390/d11100202","created_at":"2022-02-01T12:01:13.124Z","updated_at":"2022-02-01T12:01:13.124Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2594,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"8","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2022-07-15T21:51:28.171Z","metadata":{"doi":"10.25504/FAIRsharing.qtwya6","name":"Material Element component of the SWEET ontology","status":"deprecated","contacts":[{"contact_name":"Nitin","contact_email":"jhanit@gmail.com"},{"contact_name":"Brandon Whitehead","contact_email":"whiteheadb@landcareresearch.co.nz","contact_orcid":null}],"homepage":"https://github.com/ESIPFed/sweet/blob/master/src/matrElement.ttl","citations":[],"identifier":8,"description":"Material Element component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","abbreviation":null,"support_links":[],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MATRELEMENT","name":"MATRELEMENT","portal":"BioPortal"}],"deprecation_date":"2021-12-02","deprecation_reason":"Deprecated because we represent all SWEET component ontologies via the main SWEET ontology record."},"legacy_ids":["bsg-000964","bsg-s000964"],"name":"FAIRsharing record for: Material Element component of the SWEET ontology","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.qtwya6","doi":"10.25504/FAIRsharing.qtwya6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Material Element component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":[],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2518,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"9","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:02.544Z","metadata":{"doi":"10.25504/FAIRsharing.qtb9yb","name":"Minimal Anatomical Terminology","status":"deprecated","contacts":[{"contact_name":"Jonathan Bard","contact_email":"j.bard@ed.ac.uk"}],"homepage":"http://bioportal.bioontology.org/ontologies/MAT?p=summary","identifier":9,"description":"Minimal set of terms for anatomy.","abbreviation":"MAT","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MAT","name":"MAT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mat.html","name":"mat","portal":"OBO Foundry"}],"deprecation_date":"2016-03-31","deprecation_reason":"http://www.obofoundry.org/ontology/mat.html"},"legacy_ids":["bsg-000012","bsg-s000012"],"name":"FAIRsharing record for: Minimal Anatomical Terminology","abbreviation":"MAT","url":"https://fairsharing.org/10.25504/FAIRsharing.qtb9yb","doi":"10.25504/FAIRsharing.qtb9yb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimal set of terms for anatomy.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":4893,"fairsharing_record_id":9,"organisation_id":1812,"relation":"maintains","created_at":"2021-09-30T09:27:06.602Z","updated_at":"2021-09-30T09:27:06.602Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"10","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:02.629Z","metadata":{"doi":"10.25504/FAIRsharing.vhgehd","name":"Subcellular Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"Maryann Martone","contact_email":"mmartone@ucsd.edu"}],"homepage":"http://purl.bioontology.org/ontology/SAO","identifier":10,"description":"SAO describes structures from the dimensional range encompassing cellular and subcellular structure, supracellular domains, and macromolecules.","abbreviation":"SAO","deprecation_date":"2016-03-31","deprecation_reason":"This resource has been deprecated within the OBO Foundry (http://www.obofoundry.org/ontology/sao.html)."},"legacy_ids":["bsg-000014","bsg-s000014"],"name":"FAIRsharing record for: Subcellular Anatomy Ontology","abbreviation":"SAO","url":"https://fairsharing.org/10.25504/FAIRsharing.vhgehd","doi":"10.25504/FAIRsharing.vhgehd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SAO describes structures from the dimensional range encompassing cellular and subcellular structure, supracellular domains, and macromolecules.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell","Cellular component"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:19:36.736Z","metadata":{"doi":"10.25504/FAIRsharing.2mk2zb","name":"Logical Observation Identifier Names and Codes","status":"ready","contacts":[{"contact_name":"Jamalynne Deckard","contact_email":"jkdeckar@regenstrief.org"}],"homepage":"https://loinc.org/","identifier":2,"description":"LOINC is a common language (set of identifiers, names, and codes) for clinical and laboratory observations. LOINC is a catalog of measurements, including laboratory tests, clinical measures like vital signs and anthropomorphic measures, standardized survey instruments, and more. LOINC enables the exchange and aggregation of clinical results for care delivery, outcomes management, and research by providing a set of universal codes and structured names to unambiguously identify things you can measure or observe.","abbreviation":"LOINC","support_links":[{"url":"https://www.linkedin.com/showcase/loinc/","name":"LOINC Linkedin","type":"Blog/News"},{"url":"loinc@loinc.org","name":"General Enquiries","type":"Support email"},{"url":"https://loinc.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://loinc.org/forum/","name":"User forum","type":"Forum"},{"url":"https://loinc.org/downloads/files/LOINCManual.pdf","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCfhOOuCgajr0-H_MGtIHkCA","name":"Youtube Channel","type":"Video"},{"url":"https://loinc.org/get-started","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/LOINC","name":"Wikipedia","type":"Wikipedia"},{"url":"https://loinc.org/feed/","name":"LOINC feed","type":"Blog/News"},{"url":"https://twitter.com/LOINC","name":"LOINC Twitter","type":"Twitter"}],"year_creation":1994,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/LOINC","name":"LOINC","portal":"BioPortal"}]},"legacy_ids":["bsg-000106","bsg-s000106"],"name":"FAIRsharing record for: Logical Observation Identifier Names and Codes","abbreviation":"LOINC","url":"https://fairsharing.org/10.25504/FAIRsharing.2mk2zb","doi":"10.25504/FAIRsharing.2mk2zb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LOINC is a common language (set of identifiers, names, and codes) for clinical and laboratory observations. LOINC is a catalog of measurements, including laboratory tests, clinical measures like vital signs and anthropomorphic measures, standardized survey instruments, and more. LOINC enables the exchange and aggregation of clinical results for care delivery, outcomes management, and research by providing a set of universal codes and structured names to unambiguously identify things you can measure or observe.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17349},{"linking_record_name":"The Unified Medical Language System","linking_record_id":5040,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17685},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11023},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11268},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11956},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12205},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12416},{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13173},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16978}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Preclinical Studies"],"domains":["Genetic polymorphism","Assay","Phenotype","Diagnosis","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1089,"pubmed_id":9749897,"title":"Combining laboratory data sets from multiple institutions using the logical observation identifier names and codes (LOINC).","year":1998,"url":"http://doi.org/10.1016/s1386-5056(98)00089-6","authors":"Baorto DM,Cimino JJ,Parvin CA,Kahn MG","journal":"Int J Med Inform","doi":"10.1016/s1386-5056(98)00089-6","created_at":"2021-09-30T08:24:20.615Z","updated_at":"2021-09-30T08:24:20.615Z"},{"id":1090,"pubmed_id":22285984,"title":"Enabling international adoption of LOINC through translation.","year":2012,"url":"http://doi.org/10.1016/j.jbi.2012.01.005","authors":"Vreeman DJ,Chiaravalloti MT,Hook J,McDonald CJ","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2012.01.005","created_at":"2021-09-30T08:24:20.716Z","updated_at":"2021-09-30T08:24:20.716Z"},{"id":1101,"pubmed_id":25656513,"title":"Supporting interoperability of genetic data with LOINC.","year":2015,"url":"http://doi.org/10.1093/jamia/ocu012","authors":"Deckard J,McDonald CJ,Vreeman DJ","journal":"J Am Med Inform Assoc","doi":"10.1093/jamia/ocu012","created_at":"2021-09-30T08:24:21.890Z","updated_at":"2021-09-30T08:24:21.890Z"}],"licence_links":[{"licence_name":"LOINC and RELMA Terms of Use","licence_id":494,"licence_url":"https://loinc.org/terms-of-use/","link_id":222,"relation":"undefined"},{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":221,"relation":"undefined"}],"grants":[{"id":8433,"fairsharing_record_id":2,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:37.618Z","updated_at":"2021-09-30T09:32:37.670Z","grant_id":1706,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN276201400138P","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4882,"fairsharing_record_id":2,"organisation_id":2414,"relation":"maintains","created_at":"2021-09-30T09:27:05.979Z","updated_at":"2021-09-30T09:27:05.979Z","grant_id":null,"is_lead":false,"saved_state":{"id":2414,"name":"Regenstrief Institute, Inc, Indianapolis, Indiana, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":4883,"fairsharing_record_id":2,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:06.008Z","updated_at":"2021-09-30T09:29:02.542Z","grant_id":68,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HHSN276201400239P","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8055,"fairsharing_record_id":2,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:40.828Z","updated_at":"2021-09-30T09:30:40.882Z","grant_id":819,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"HSN2762008000006C","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"3","type":"fairsharing_records","attributes":{"created_at":"2016-10-05T10:00:10.000Z","updated_at":"2022-07-20T13:10:08.555Z","metadata":{"doi":"10.25504/FAIRsharing.dg76vs","name":"Synthetic Biology Open Language Visual","status":"ready","contacts":[{"contact_name":"SBOL Editors","contact_email":"editors@sbolstandard.org"}],"homepage":"https://sbolstandard.org/visual-about/","identifier":3,"description":"Synthetic Biology Open Language Visual (SBOL Visual) is an open-source graphical notation that uses schematic “glyphs” to specify genetic parts, devices, modules, and systems.","abbreviation":"SBOL Visual","support_links":[{"url":"https://github.com/SynBioDex/SBOL-visual/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://sbolstandard.org/visual-spec-examples/","name":"Examples from the Specification","type":"Help documentation"},{"url":"https://sbolstandard.org/visual-examples/","name":"Examples","type":"Help documentation"},{"url":"https://sbolstandard.org/visual-glyphs/","name":"SBOL Visual Glyphs","type":"Help documentation"},{"url":"https://sbolstandard.org/sbol-visual-ontology/","name":"SBOL Visual Ontology","type":"Help documentation"},{"url":"https://github.com/SynBioDex/SBOL-visual","name":"GitHub Repository","type":"Github"},{"url":"https://twitter.com/SBOLstandard","name":"@SBOLstandard","type":"Twitter"}],"year_creation":2015},"legacy_ids":["bsg-000678","bsg-s000678"],"name":"FAIRsharing record for: Synthetic Biology Open Language Visual","abbreviation":"SBOL Visual","url":"https://fairsharing.org/10.25504/FAIRsharing.dg76vs","doi":"10.25504/FAIRsharing.dg76vs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Synthetic Biology Open Language Visual (SBOL Visual) is an open-source graphical notation that uses schematic “glyphs” to specify genetic parts, devices, modules, and systems.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10851},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11883},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12070},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12222},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16992}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Synthetic Biology","Data Visualization"],"domains":["DNA sequence data","Sequence annotation","Nucleic acid design","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Canada","China","Denmark","Egypt","Finland","France","India","Japan","Latvia","Netherlands","Norway","Saudi Arabia","Singapore","Spain","United Kingdom","United States"],"publications":[{"id":1636,"pubmed_id":27267452,"title":"Improving Synthetic Biology Communication: Recommended Practices for Visual Depiction and Digital Submission of Genetic Designs.","year":2016,"url":"http://doi.org/10.1021/acssynbio.6b00146","authors":"Hillson NJ,Plahar HA,Beal J,Prithviraj R","journal":"ACS Synth Biol","doi":"10.1021/acssynbio.6b00146","created_at":"2021-09-30T08:25:23.279Z","updated_at":"2021-09-30T08:25:23.279Z"},{"id":2650,"pubmed_id":26633141,"title":"SBOL Visual: A Graphical Language for Genetic Designs.","year":2015,"url":"http://doi.org/10.1371/journal.pbio.1002310","authors":"Quinn JY,Cox RS 3rd,Adler A,Beal J,Bhatia S,Cai Y,Chen J,Clancy K,Galdzicki M,Hillson NJ,Le Novere N,Maheshwari AJ,McLaughlin JA,Myers CJ,P U,Pocock M,Rodriguez C,Soldatova L,Stan GB,Swainston N,Wipat A,Sauro HM","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1002310","created_at":"2021-09-30T08:27:25.412Z","updated_at":"2021-09-30T08:27:25.412Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2404,"relation":"undefined"}],"grants":[{"id":8175,"fairsharing_record_id":3,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:20.446Z","updated_at":"2021-09-30T09:31:20.542Z","grant_id":1126,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1356401","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4885,"fairsharing_record_id":3,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:06.094Z","updated_at":"2021-09-30T09:29:18.741Z","grant_id":190,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1355909","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4884,"fairsharing_record_id":3,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:06.051Z","updated_at":"2021-09-30T09:31:56.532Z","grant_id":1397,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/J02175X/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"1","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-13T10:31:53.063Z","metadata":{"doi":"10.25504/FAIRsharing.1414v8","name":"BRENDA tissue / enzyme source","status":"ready","contacts":[{"contact_name":"BrendaTissue Administrators","contact_email":"a.chang@tu-bs.de"}],"homepage":"http://www.brenda-enzymes.info","identifier":1,"description":"A structured controlled vocabulary for the source of an enzyme. It comprises terms for tissues, cell lines, cell types and cell cultures from uni- and multicellular organisms.","abbreviation":"BTO","support_links":[{"url":"https://support.brenda-enzymes.org/open.php","type":"Contact form"},{"url":"https://www.brenda-enzymes.info/information/tutorial_training/BRENDA_Tutorial_BTO.pdf","type":"Help documentation"}],"year_creation":1991,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BTO","name":"BTO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/bto.html","name":"bto","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000063","bsg-s000063"],"name":"FAIRsharing record for: BRENDA tissue / enzyme source","abbreviation":"BTO","url":"https://fairsharing.org/10.25504/FAIRsharing.1414v8","doi":"10.25504/FAIRsharing.1414v8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary for the source of an enzyme. It comprises terms for tissues, cell lines, cell types and cell cultures from uni- and multicellular organisms.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18253}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Enzymology","Life Science"],"domains":["Reaction data","Cell","Enzyme","Organ"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":9,"pubmed_id":21030441,"title":"The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources.","year":2010,"url":"http://doi.org/10.1093/nar/gkq968","authors":"Gremse M, Chang A, Schomburg I, Grote A, Scheer M, Ebeling C, Schomburg D","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq968","created_at":"2021-09-30T08:22:21.498Z","updated_at":"2021-09-30T08:22:21.498Z"},{"id":1357,"pubmed_id":30395242,"title":"BRENDA in 2019: a European ELIXIR core data resource.","year":2018,"url":"http://doi.org/10.1093/nar/gky1048","authors":"Jeske L,Placzek S,Schomburg I,Chang A,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1048","created_at":"2021-09-30T08:24:51.780Z","updated_at":"2021-09-30T11:29:06.677Z"},{"id":1358,"pubmed_id":14681450,"title":"BRENDA, the enzyme database: updates and major new developments.","year":2003,"url":"http://doi.org/10.1093/nar/gkh081","authors":"Schomburg I,Chang A,Ebeling C,Gremse M,Heldt C,Huhn G,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh081","created_at":"2021-09-30T08:24:51.872Z","updated_at":"2021-09-30T11:29:06.777Z"},{"id":1590,"pubmed_id":25378310,"title":"BRENDA in 2015: exciting developments in its 25th year of existence.","year":2014,"url":"http://doi.org/10.1093/nar/gku1068","authors":"Chang A,Schomburg I,Placzek S,Jeske L,Ulbrich M,Xiao M,Sensen CW,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1068","created_at":"2021-09-30T08:25:18.284Z","updated_at":"2021-09-30T11:29:14.902Z"},{"id":2406,"pubmed_id":23203881,"title":"BRENDA in 2013: integrated reactions, kinetic data, enzyme function data, improved disease classification: new options and contents in BRENDA.","year":2012,"url":"http://doi.org/10.1093/nar/gks1049","authors":"Schomburg I,Chang A,Placzek S,Sohngen C,Rother M,Lang M,Munaretto C,Ulas S,Stelzer M,Grote A,Scheer M,Schomburg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1049","created_at":"2021-09-30T08:26:55.301Z","updated_at":"2021-09-30T11:29:35.078Z"}],"licence_links":[{"licence_name":"License agreement for users of BRENDA","licence_id":490,"licence_url":"https://www.brenda-enzymes.info/copy.php","link_id":357,"relation":"undefined"}],"grants":[{"id":4879,"fairsharing_record_id":1,"organisation_id":309,"relation":"maintains","created_at":"2021-09-30T09:27:05.873Z","updated_at":"2021-09-30T09:27:05.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":309,"name":"BRENDA Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4878,"fairsharing_record_id":1,"organisation_id":1871,"relation":"funds","created_at":"2021-09-30T09:27:05.831Z","updated_at":"2021-09-30T09:29:33.494Z","grant_id":299,"is_lead":false,"saved_state":{"id":1871,"name":"Ministry of Science and Culture of Lower Saxony, Hannover, Germany","grant":"74ZN1122","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4880,"fairsharing_record_id":1,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:27:05.913Z","updated_at":"2021-09-30T09:29:34.261Z","grant_id":305,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","grant":"226073","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4881,"fairsharing_record_id":1,"organisation_id":963,"relation":"funds","created_at":"2021-09-30T09:27:05.947Z","updated_at":"2021-09-30T09:31:05.700Z","grant_id":1013,"is_lead":false,"saved_state":{"id":963,"name":"European Union, Free European Life-Science Information and Computational Services (FELICS)","grant":"021902 (RII3)","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9281,"fairsharing_record_id":1,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:27.516Z","updated_at":"2022-04-11T12:07:27.532Z","grant_id":1641,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"01KX1235","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"18","type":"fairsharing_records","attributes":{"created_at":"2015-05-14T10:14:01.000Z","updated_at":"2024-02-05T13:33:45.980Z","metadata":{"doi":"10.25504/FAIRsharing.9qv71f","name":"Systems Biology Markup Language","status":"ready","contacts":[{"contact_name":"SBML Forum","contact_email":"sbml-discuss@googlegroups.com"}],"homepage":"http://sbml.org","citations":[{"doi":"10.1093/bioinformatics/btg015","pubmed_id":12611808,"publication_id":1851}],"identifier":18,"description":"The Systems Biology Markup Language (SBML) is a machine-readable exchange format for computational models of biological processes. Its strength is in representating phenomena at the scale of biochemical reactions, but it is not limited to that. By supporting SBML as an input and output format, different software tools can operate on the same representation of a model, removing chances for errors in translation and assuring a common starting point for analyses and simulations.","abbreviation":"SBML","support_links":[{"url":"http://sbml.org/Documents/FAQ","name":"SBML FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://sourceforge.net/p/sbml/sbml-org-website/","name":"Issue Tracker","type":"Forum"},{"url":"http://sbml.org/Forums","name":"SBML Forums","type":"Forum"},{"url":"http://sbml.org/SBML_Software_Guide","name":"SBML Software Guide","type":"Help documentation"},{"url":"http://sourceforge.net/projects/sbml","name":"SBML on SourceForge","type":"Help documentation"},{"url":"http://sbml.org/News","name":"SBML News","type":"Help documentation"},{"url":"http://sbml.org/Basic_Introduction_to_SBML","name":"Introduction to SBML","type":"Help documentation"},{"url":"http://sbml.org/About","name":"About SBML","type":"Help documentation"},{"url":"http://sbml.org/Community","name":"SBML Community","type":"Help documentation"},{"url":"http://sbml.org/Documents","name":"Documentation","type":"Help documentation"},{"url":"http://sbml.org/index.php?title=News\u0026action=feed","name":"RSS Feed","type":"Blog/News"},{"url":"https://twitter.com/sbmlnews","name":"@sbmlnews","type":"Twitter"},{"url":"https://sbml.org/specifications/sbml-level-1/version-2/sbml-level-1-v2.pdf","name":"Systems Biology Markup Language (SBML) Level 1: Structures and Facilities for Basic Model Definitions","type":"Other"},{"url":"https://github.com/sbmlteam/sbml-org-website/tree/main","type":"Github"}],"year_creation":1999,"associated_tools":[{"url":"http://sbml.org/Software","name":"SBML Software List"}]},"legacy_ids":["bsg-000052","bsg-s000052"],"name":"FAIRsharing record for: Systems Biology Markup Language","abbreviation":"SBML","url":"https://fairsharing.org/10.25504/FAIRsharing.9qv71f","doi":"10.25504/FAIRsharing.9qv71f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Systems Biology Markup Language (SBML) is a machine-readable exchange format for computational models of biological processes. Its strength is in representating phenomena at the scale of biochemical reactions, but it is not limited to that. By supporting SBML as an input and output format, different software tools can operate on the same representation of a model, removing chances for errors in translation and assuring a common starting point for analyses and simulations.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10849},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11032},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11173},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11879},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12043},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12216},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18446}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Systems Biology"],"domains":["Mathematical model","Network model","Molecular entity","Modeling and simulation","Enzymatic reaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1851,"pubmed_id":12611808,"title":"The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.","year":2003,"url":"http://doi.org/10.1093/bioinformatics/btg015","authors":"Hucka M,Finney A,Sauro HM et al.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btg015","created_at":"2021-09-30T08:25:47.960Z","updated_at":"2021-09-30T08:25:47.960Z"},{"id":4112,"pubmed_id":31219795,"title":"The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2.","year":2019,"url":"https://doi.org/10.1515/jib-2019-0021","authors":"Hucka M, Bergmann FT, Chaouiya C, Dräger A, Hoops S, Keating SM, König M, Novère NL, Myers CJ, Olivier BG, Sahle S, Schaff JC, Sheriff R, Smith LP, Waltemath D, Wilkinson DJ, Zhang F","journal":"Journal of integrative bioinformatics","doi":"10.1515/jib-2019-0021","created_at":"2024-02-01T13:49:30.266Z","updated_at":"2024-02-01T13:49:30.266Z"},{"id":4113,"pubmed_id":null,"title":"Systems Biology Markup Language (SBML) Level 2 Version 5: Structures and Facilities for Model Definitions","year":2017,"url":"http://dx.doi.org/10.1515/jib-2015-271","authors":"Hucka, Michael; Bergmann, Frank T.; Dräger, Andreas; Hoops, Stefan; Keating, Sarah M.; Le Novère, Nicolas; Myers, Chris J.; Olivier, Brett G.; Sahle, Sven; Schaff, James C.; Smith, Lucian P.; Waltemath, Dagmar; Wilkinson, Darren J.; ","journal":"Journal of Integrative Bioinformatics","doi":"10.1515/jib-2015-271","created_at":"2024-02-01T14:22:06.489Z","updated_at":"2024-02-01T14:22:06.489Z"}],"licence_links":[],"grants":[{"id":4907,"fairsharing_record_id":18,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:07.159Z","updated_at":"2021-09-30T09:27:07.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4910,"fairsharing_record_id":18,"organisation_id":2498,"relation":"maintains","created_at":"2021-09-30T09:27:07.238Z","updated_at":"2021-09-30T09:27:07.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":2498,"name":"SBML Community","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4908,"fairsharing_record_id":18,"organisation_id":344,"relation":"maintains","created_at":"2021-09-30T09:27:07.182Z","updated_at":"2021-09-30T09:27:07.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":344,"name":"California Institute of Technology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4909,"fairsharing_record_id":18,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:07.208Z","updated_at":"2021-09-30T09:32:24.429Z","grant_id":1606,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01 GM070923","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"19","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:17.458Z","metadata":{"doi":"10.25504/FAIRsharing.azr389","name":"ElectroCardioGraphy Ontology","status":"deprecated","contacts":[{"contact_name":"Raimond Winslow","contact_email":"rwinslow@jhu.edu","contact_orcid":"0000-0003-1719-1651"}],"homepage":"http://wiki.cvrgrid.org/index.php/Ontology_Development","citations":[],"identifier":19,"description":"The Electrocardiography (ECG) Ontology is a Driving Biological Project of the NCBO. The ECG Ontology will contain terms for describing electrocardiograms, their capture method(s) and their waveforms. This ontology was developed and is being maintained by the CardioVascular Research Grid (www.cvrg.org).","abbreviation":"ECG","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ECG","name":"ECG","portal":"BioPortal"}],"deprecation_date":"2022-03-03","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000048","bsg-s000048"],"name":"FAIRsharing record for: ElectroCardioGraphy Ontology","abbreviation":"ECG","url":"https://fairsharing.org/10.25504/FAIRsharing.azr389","doi":"10.25504/FAIRsharing.azr389","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Electrocardiography (ECG) Ontology is a Driving Biological Project of the NCBO. The ECG Ontology will contain terms for describing electrocardiograms, their capture method(s) and their waveforms. This ontology was developed and is being maintained by the CardioVascular Research Grid (www.cvrg.org).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Heart","Electrocardiography"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2378,"pubmed_id":20800107,"title":"Using an ECG reference ontology for semantic interoperability of ECG data.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.08.007","authors":"Goncalves B,Guizzardi G,Pereira Filho JG","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.08.007","created_at":"2021-09-30T08:26:52.243Z","updated_at":"2021-09-30T08:26:52.243Z"}],"licence_links":[],"grants":[{"id":4912,"fairsharing_record_id":19,"organisation_id":1259,"relation":"funds","created_at":"2021-09-30T09:27:07.321Z","updated_at":"2021-09-30T09:30:34.883Z","grant_id":774,"is_lead":false,"saved_state":{"id":1259,"name":"Horizon 2020 CNPq","grant":"481906/2009-6","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9146,"fairsharing_record_id":19,"organisation_id":1603,"relation":"maintains","created_at":"2022-04-11T12:07:17.443Z","updated_at":"2022-04-11T12:07:17.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":1603,"name":"Johns Hopkins University, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"20","type":"fairsharing_records","attributes":{"created_at":"2015-06-22T14:50:53.000Z","updated_at":"2021-11-24T13:17:08.382Z","metadata":{"doi":"10.25504/FAIRsharing.cp0ybc","name":"Wf4Ever Research Object Model 1.0","status":"ready","contacts":[{"contact_name":"Stian Soiland-Reyes","contact_email":"ro-model-dev@googlegroups.com","contact_orcid":"0000-0001-9842-9718"}],"homepage":"https://w3id.org/ro/","identifier":20,"description":"The Wf4Ever Research Object Model provides a vocabulary for the description of workflow-centric Research Objects: aggregations of resources relating to scientific workflows.","abbreviation":"RO","support_links":[{"url":"https://groups.google.com/forum/#!forum/ro-model-dev","type":"Forum"},{"url":"http://www.researchobject.org/overview/","type":"Help documentation"},{"url":"https://github.com/ResearchObject/ro-tutorials","type":"Github"}],"year_creation":2013},"legacy_ids":["bsg-000596","bsg-s000596"],"name":"FAIRsharing record for: Wf4Ever Research Object Model 1.0","abbreviation":"RO","url":"https://fairsharing.org/10.25504/FAIRsharing.cp0ybc","doi":"10.25504/FAIRsharing.cp0ybc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Wf4Ever Research Object Model provides a vocabulary for the description of workflow-centric Research Objects: aggregations of resources relating to scientific workflows.","linked_records":[],"linking_records":[{"linking_record_name":"bioCADDIE","linking_record_id":3506,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11199}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Natural Science"],"domains":["Resource metadata","Reproducibility","Workflow"],"taxonomies":["All"],"user_defined_tags":["Research object"],"countries":["Poland","Spain","United Kingdom"],"publications":[{"id":2664,"pubmed_id":25276335,"title":"Structuring research methods and data with the research object model: genomics workflows as a case study.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-41","authors":"Hettne KM,Dharuri H,Zhao J,Wolstencroft K,Belhajjame K,Soiland-Reyes S,Mina E,Thompson M,Cruickshank D,Verdes-Montenegro L,Garrido J,de Roure D,Corcho O,Klyne G,van Schouwen R,'t Hoen PA,Bechhofer S,Goble C,Roos M","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-41","created_at":"2021-09-30T08:27:27.113Z","updated_at":"2021-09-30T08:27:27.113Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":538,"relation":"undefined"}],"grants":[{"id":4914,"fairsharing_record_id":20,"organisation_id":2430,"relation":"maintains","created_at":"2021-09-30T09:27:07.365Z","updated_at":"2021-09-30T09:27:07.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":2430,"name":"researchobject.org","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4916,"fairsharing_record_id":20,"organisation_id":921,"relation":"funds","created_at":"2021-09-30T09:27:07.416Z","updated_at":"2021-09-30T09:30:41.278Z","grant_id":822,"is_lead":false,"saved_state":{"id":921,"name":"European Commission FP7-ICT","grant":"270192","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"21","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.003Z","metadata":{"doi":"10.25504/FAIRsharing.5403x","name":"Medaka Fish Ontology","status":"deprecated","contacts":[{"contact_name":"Thorsten Heinrich","contact_email":"Thorsten.Henrich@embl-heidelberg.de"}],"homepage":"http://www.obofoundry.org/ontology/mfo.html","identifier":21,"description":"A structured controlled vocabulary of the anatomy and development of the Japanese medaka fish, Oryzias latipes.","abbreviation":"MFO","year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MFO","name":"MFO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mfo.html","name":"mfo","portal":"OBO Foundry"}],"deprecation_date":"2018-10-02","deprecation_reason":"As confirmed via the OBO Foundry entry for MFO."},"legacy_ids":["bsg-000022","bsg-s000022"],"name":"FAIRsharing record for: Medaka Fish Ontology","abbreviation":"MFO","url":"https://fairsharing.org/10.25504/FAIRsharing.5403x","doi":"10.25504/FAIRsharing.5403x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy and development of the Japanese medaka fish, Oryzias latipes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Cell cycle"],"taxonomies":["Oryzias latipes"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":751,"pubmed_id":15879458,"title":"MEPD: a resource for medaka gene expression patterns.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti478","authors":"Henrich T,Ramialison M,Wittbrodt B,Assouline B,Bourrat F,Berger A,Himmelbauer H,Sasaki T,Shimizu N,Westerfield M,Kondoh H,Wittbrodt J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti478","created_at":"2021-09-30T08:23:42.695Z","updated_at":"2021-09-30T08:23:42.695Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"22","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:41:08.744Z","metadata":{"doi":"10.25504/FAIRsharing.cnbjkn","name":"Single Nucleotide Polymorphism Ontology","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"adrien.coulet@loria.fr","contact_orcid":"0000-0002-1466-062X"}],"homepage":"https://members.loria.fr/ACoulet/files/snpontology1.6_description.html","identifier":22,"description":"The SNP Ontology is a domain ontology that provides a formal representation (OWL-DL) of genomic variations. Despite its name, SNP-Ontology, is not limited to the representation of SNPs but it encompasses genomic variations in a broader meaning. The SNP Ontology is general enough to enable the representation of variations observed in the genome of various species.","abbreviation":"SNPO","year_creation":2005,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SNPO","name":"SNPO","portal":"BioPortal"}]},"legacy_ids":["bsg-002573","bsg-s002573"],"name":"FAIRsharing record for: Single Nucleotide Polymorphism Ontology","abbreviation":"SNPO","url":"https://fairsharing.org/10.25504/FAIRsharing.cnbjkn","doi":"10.25504/FAIRsharing.cnbjkn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SNP Ontology is a domain ontology that provides a formal representation (OWL-DL) of genomic variations. Despite its name, SNP-Ontology, is not limited to the representation of SNPs but it encompasses genomic variations in a broader meaning. The SNP Ontology is general enough to enable the representation of variations observed in the genome of various species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12514}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Proteomics"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Single nucleotide polymorphism","Genome","Sequence variant","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2743,"pubmed_id":null,"title":"SNP-Ontology for semantic integration of genomic variation data.","year":2006,"url":"https://hal.inria.fr/inria-00067863v2","authors":"Adrien Coulet, Malika Smaïl-Tabbone, Pascale Benlian, Amedeo Napoli, Marie-Dominique Devignes","journal":"4th Annual International Conference on Intelligent Systems for Molecular Biology - ISMB'06, Fortaleza/Brésil.","doi":null,"created_at":"2021-09-30T08:27:36.898Z","updated_at":"2021-09-30T08:27:36.898Z"}],"licence_links":[],"grants":[{"id":4917,"fairsharing_record_id":22,"organisation_id":2981,"relation":"maintains","created_at":"2021-09-30T09:27:07.441Z","updated_at":"2021-09-30T09:27:07.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"23","type":"fairsharing_records","attributes":{"created_at":"2021-03-25T12:59:36.000Z","updated_at":"2022-07-20T09:26:43.840Z","metadata":{"doi":"10.25504/FAIRsharing.00adc9","name":"Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings","status":"ready","homepage":"https://id.loc.gov/authorities/childrensSubjects.html","identifier":23,"description":"The Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings (LCSHAC) is a thesaurus which is used in conjunction with LCSH. It is not a self-contained vocabulary, but is instead designed to complement LCSH and provide tailored subject access to children and young adults when LCSH does not provide suitable terminology, form, or scope for children.","abbreviation":"LCSHAC","support_links":[{"url":"https://id.loc.gov/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://id.loc.gov/techcenter/searching.html","name":"Search Help","type":"Help documentation"},{"url":"https://id.loc.gov/techcenter/","name":"Download Help","type":"Help documentation"},{"url":"https://listserv.loc.gov/cgi-bin/wa?A0=ID","name":"LOC Linked Data Mailing List","type":"Mailing list"},{"url":"https://www.loc.gov/aba/cyac/childsubjhead.html","name":"About LCSH and Children's Headings","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-001601","bsg-s001601"],"name":"FAIRsharing record for: Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings","abbreviation":"LCSHAC","url":"https://fairsharing.org/10.25504/FAIRsharing.00adc9","doi":"10.25504/FAIRsharing.00adc9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings (LCSHAC) is a thesaurus which is used in conjunction with LCSH. It is not a self-contained vocabulary, but is instead designed to complement LCSH and provide tailored subject access to children and young adults when LCSH does not provide suitable terminology, form, or scope for children.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Humanities and Social Science","Literary Studies"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Library of Congress Legal Information","licence_id":486,"licence_url":"https://www.loc.gov/legal/","link_id":754,"relation":"undefined"}],"grants":[{"id":4918,"fairsharing_record_id":23,"organisation_id":1712,"relation":"maintains","created_at":"2021-09-30T09:27:07.465Z","updated_at":"2021-09-30T09:27:07.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":1712,"name":"Library of Congress, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"24","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T15:02:59.613Z","metadata":{"doi":"10.25504/FAIRsharing.68thre","name":"Metagenome/Microbes Environmental Ontology","status":"ready","contacts":[{"contact_name":"MicrobeDB.jp Project Team","contact_email":"hmori@bio.titech.ac.jp"}],"homepage":"https://bioportal.bioontology.org/ontologies/MEO","citations":[],"identifier":24,"description":"An Ontology for organismal habitats (especially focused on microbes)","abbreviation":"MEO","support_links":[{"url":"https://metadb.riken.jp/metadb/front","name":"RIKEN MetaDatabase","type":"Other"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MEO","name":"BioPortal:MEO","portal":"BioPortal"}]},"legacy_ids":["bsg-002785","bsg-s002785"],"name":"FAIRsharing record for: Metagenome/Microbes Environmental Ontology","abbreviation":"MEO","url":"https://fairsharing.org/10.25504/FAIRsharing.68thre","doi":"10.25504/FAIRsharing.68thre","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An Ontology for organismal habitats (especially focused on microbes)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genomics","Microbiology"],"domains":["Metagenome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3126,"relation":"applies_to_content"}],"grants":[{"id":11854,"fairsharing_record_id":24,"organisation_id":2019,"relation":"maintains","created_at":"2024-06-27T13:51:38.742Z","updated_at":"2024-06-27T13:51:38.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":2019,"name":"National Institute of Genetics (NIG), Shizuoka, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"26","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2021-11-24T13:14:13.205Z","metadata":{"doi":"10.25504/FAIRsharing.emw6am","name":"Magnetic Resonance Dataset Acquisition Ontology","status":"ready","contacts":[{"contact_name":"Bernard Gibaud","contact_email":"bernard.gibaud@univ-rennes1.fr"}],"homepage":"http://neurolog.unice.fr/public_namespace/ontology","identifier":26,"description":"The OntoNeuroLOG Magnetic Resonance Dataset Acquisition (ONL-MR-DA) ontology is one of the modules in the OntoNeuroLOG ontology version 3.0, developed in the context of the NeuroLOG project., a French project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeneous resources in neuroimaging. DOLCE was used as the upper-level ontology for each of the modules within this ontology. This ontology covers the domain of Magnetic Resonance Imaging (MRI) dataset acquisition, i.e. MRI protocols, and MRI sequence parameters. In particular, it includes a multi-axial classification of MR sequences. The project and its funding has been completed, and the last release (3.0) as of 2013 is expected to be the final one. However, it continues to be available for use.","abbreviation":"ONL-MR-DA","support_links":[{"url":"neurolog@polytech.unice.fr","name":"General Helpdesk","type":"Support email"},{"url":"http://neurolog.unice.fr/ontoneurolog/v3.0/Documentation_OntoNeuroLOGv3.pdf","name":"Ontology Documentation","type":"Help documentation"}],"year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ONL-MR-DA","name":"ONL-MR-DA","portal":"BioPortal"}]},"legacy_ids":["bsg-000938","bsg-s000938"],"name":"FAIRsharing record for: Magnetic Resonance Dataset Acquisition Ontology","abbreviation":"ONL-MR-DA","url":"https://fairsharing.org/10.25504/FAIRsharing.emw6am","doi":"10.25504/FAIRsharing.emw6am","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The OntoNeuroLOG Magnetic Resonance Dataset Acquisition (ONL-MR-DA) ontology is one of the modules in the OntoNeuroLOG ontology version 3.0, developed in the context of the NeuroLOG project., a French project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeneous resources in neuroimaging. DOLCE was used as the upper-level ontology for each of the modules within this ontology. This ontology covers the domain of Magnetic Resonance Imaging (MRI) dataset acquisition, i.e. MRI protocols, and MRI sequence parameters. In particular, it includes a multi-axial classification of MR sequences. The project and its funding has been completed, and the last release (3.0) as of 2013 is expected to be the final one. However, it continues to be available for use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science","Neuroscience"],"domains":["Magnetic resonance imaging","Protocol","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2065,"pubmed_id":18440282,"title":"Towards an ontology for sharing medical images and regions of interest in neuroimaging.","year":2008,"url":"http://doi.org/10.1016/j.jbi.2008.03.002","authors":"Temal L,Dojat M,Kassel G,Gibaud B","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2008.03.002","created_at":"2021-09-30T08:26:12.741Z","updated_at":"2021-09-30T08:26:12.741Z"}],"licence_links":[],"grants":[{"id":4923,"fairsharing_record_id":26,"organisation_id":1297,"relation":"maintains","created_at":"2021-09-30T09:27:07.623Z","updated_at":"2021-09-30T09:27:07.623Z","grant_id":null,"is_lead":false,"saved_state":{"id":1297,"name":"I3S Laboratory, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":4924,"fairsharing_record_id":26,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:27:07.661Z","updated_at":"2021-09-30T09:31:15.032Z","grant_id":1086,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-06-TLOG-024","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"41","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:20:17.176Z","metadata":{"doi":"10.25504/FAIRsharing.j9e8qd","name":"Protein Affinity Reagent Controlled Vocabulary","status":"deprecated","contacts":[{"contact_email":"par@psidev.info"}],"homepage":"http://www.psidev.info/psi-par","citations":[],"identifier":41,"description":"The scopes of molecular interactions and protein affinity reagents are largely overlapping but are also partially unique. This fact is reflected in the PSI-PAR CV, which contains the majority of the terms from the PSI-MI CV and an additional ∼200 new terms as of its creation in 2009.","abbreviation":"PSI-PAR CV","year_creation":2009,"deprecation_date":"2023-10-03","deprecation_reason":"This collection is no longer being updated and has been deprecated by the Proteomics Standards Initiative group charter. "},"legacy_ids":["bsg-000157","bsg-s000157"],"name":"FAIRsharing record for: Protein Affinity Reagent Controlled Vocabulary","abbreviation":"PSI-PAR CV","url":"https://fairsharing.org/10.25504/FAIRsharing.j9e8qd","doi":"10.25504/FAIRsharing.j9e8qd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The scopes of molecular interactions and protein affinity reagents are largely overlapping but are also partially unique. This fact is reflected in the PSI-PAR CV, which contains the majority of the terms from the PSI-MI CV and an additional ∼200 new terms as of its creation in 2009.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11427}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Molecular interaction","Affinity","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":17,"pubmed_id":20622827,"title":"Minimum information about a protein affinity reagent (MIAPAR).","year":2010,"url":"http://doi.org/10.1038/nbt0710-650","authors":"Bourbeillon J, Orchard S, Benhar I, Borrebaeck C, de Daruvar A, Dubel S, Frank R, Gibson F, Gloriam D, Haslam N, Hiltker T, Humphrey-Smith I, Hust M, Juncker D, Koegl M, Konthur Z, Korn B, Krobitsch S, Muyldermans S, Nygren PA, Palcy S, Polic B, Rodriguez H, Sawyer A, Schlapshy M, Snyder M, Stoevesandt O, Taussig MJ, Templin M, Uhlen M, van der Maarel S, Wingren C, Hermjakob H, Sherman D","journal":"Nat. Biotechnol.","doi":"10.1038/nbt0710-650","created_at":"2021-09-30T08:22:22.271Z","updated_at":"2021-09-30T08:22:22.271Z"},{"id":1391,"pubmed_id":19674966,"title":"A community standard format for the representation of protein affinity reagents.","year":2009,"url":"http://doi.org/10.1074/mcp.M900185-MCP200","authors":"Gloriam DE1, Orchard S, Bertinetti D, Björling E, Bongcam-Rudloff E, Borrebaeck CA, Bourbeillon J, Bradbury AR, de Daruvar A, Dübel S, Frank R, Gibson TJ, Gold L, Haslam N, Herberg FW, Hiltke T, Hoheisel JD, Kerrien S, Koegl M, Konthur Z, Korn B, Landegren U, Montecchi-Palazzi L, Palcy S, Rodriguez H, Schweinsberg S, Sievert V, Stoevesandt O, Taussig MJ, Ueffing M, Uhlén M, van der Maarel S, Wingren C, Woollard P, Sherman DJ, Hermjakob H.","journal":"Mol. Cell Proteomics","doi":"10.1074/mcp.M900185-MCP200","created_at":"2021-09-30T08:24:55.485Z","updated_at":"2021-09-30T08:24:55.485Z"}],"licence_links":[],"grants":[{"id":4963,"fairsharing_record_id":41,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:27:09.149Z","updated_at":"2021-09-30T09:27:09.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"42","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-13T15:52:23.950Z","metadata":{"doi":"10.25504/FAIRsharing.qz30cx","name":"GlycoCT sequence format for carbohydrates.","status":"ready","contacts":[{"contact_name":"W. von der Lieth","contact_email":"w.vonderlieth@dkfz-heidelberg.de"}],"homepage":"https://github.com/glycoinfo/GlycoCT/blob/main/GlycoCT.pdf","citations":[],"identifier":42,"description":"GlycoCT format is devised to describe the carbohydrate sequences, with a controlled vocabulary to name monosaccharides, adopting IUPAC rules to generate a consistent, machine-readable nomenclature, based on a connection table approach, instead of a linear encoding scheme. The format uses a block concept to describe frequently occurring special features of carbohydrate sequences like repeating units. It exists in two variants, a condensed form and a more verbose XML syntax. Sorting rules assure the uniqueness of the condensed form, thus making it suitable as a direct primary key for database applications, which rely on unique identifiers. GlycoCT encompasses the capabilities of the heterogeneous landscape of digital encoding schemata in glycomics and is thus a step forward on the way to a unified and broadly accepted sequence format in glycobioinformatics.","abbreviation":"GlycoCT XML","support_links":[{"url":"https://github.com/glycoinfo/GlycoCT/blob/main/GlycoCT.pdf","name":"GlycoCT Github repository","type":"Github"}]},"legacy_ids":["bsg-000530","bsg-s000530"],"name":"FAIRsharing record for: GlycoCT sequence format for carbohydrates.","abbreviation":"GlycoCT XML","url":"https://fairsharing.org/10.25504/FAIRsharing.qz30cx","doi":"10.25504/FAIRsharing.qz30cx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlycoCT format is devised to describe the carbohydrate sequences, with a controlled vocabulary to name monosaccharides, adopting IUPAC rules to generate a consistent, machine-readable nomenclature, based on a connection table approach, instead of a linear encoding scheme. The format uses a block concept to describe frequently occurring special features of carbohydrate sequences like repeating units. It exists in two variants, a condensed form and a more verbose XML syntax. Sorting rules assure the uniqueness of the condensed form, thus making it suitable as a direct primary key for database applications, which rely on unique identifiers. GlycoCT encompasses the capabilities of the heterogeneous landscape of digital encoding schemata in glycomics and is thus a step forward on the way to a unified and broadly accepted sequence format in glycobioinformatics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics"],"domains":["Carbohydrate"],"taxonomies":["All"],"user_defined_tags":["glycobiology"],"countries":["Germany"],"publications":[{"id":253,"pubmed_id":18436199,"title":"GlycoCT-a unifying sequence format for carbohydrates","year":2008,"url":"http://doi.org/10.1016/j.carres.2008.03.011","authors":"Herget S, Ranzinger R, Maass K, Lieth CW.","journal":"Carbohydrate Research","doi":"10.1016/j.carres.2008.03.011","created_at":"2021-09-30T08:22:47.325Z","updated_at":"2021-09-30T08:22:47.325Z"}],"licence_links":[],"grants":[{"id":10402,"fairsharing_record_id":42,"organisation_id":3912,"relation":"maintains","created_at":"2023-03-13T15:52:12.804Z","updated_at":"2023-03-13T15:52:12.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":3912,"name":"NMR spectroscopy and CEST imaging, DKFZ","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"43","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T15:38:19.000Z","updated_at":"2023-06-02T15:12:13.520Z","metadata":{"doi":"10.25504/FAIRsharing.FrSPDi","name":"Artificial Nutrition Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/BL8/en/","citations":[],"identifier":43,"description":"This thesaurus is based on the vocabulary used in scientific publications for Artificial nutrition and neighbor fields. It contains more than 2500 concepts in two languages (English and French), including various variants (synonyms, acronyms) divided into a number of microthesauri where the terms are grouped around a theme or a semantic field.","abbreviation":null,"year_creation":2016},"legacy_ids":["bsg-001415","bsg-s001415"],"name":"FAIRsharing record for: Artificial Nutrition Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.FrSPDi","doi":"10.25504/FAIRsharing.FrSPDi","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This thesaurus is based on the vocabulary used in scientific publications for Artificial nutrition and neighbor fields. It contains more than 2500 concepts in two languages (English and French), including various variants (synonyms, acronyms) divided into a number of microthesauri where the terms are grouped around a theme or a semantic field.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11300}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Nutritional Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Artificial nutrition"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":195,"relation":"undefined"}],"grants":[{"id":4965,"fairsharing_record_id":43,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:09.393Z","updated_at":"2021-09-30T09:27:09.393Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":4964,"fairsharing_record_id":43,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:09.188Z","updated_at":"2021-09-30T09:27:09.188Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"44","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.000Z","metadata":{"doi":"10.25504/FAIRsharing.82t0w2","name":"Leukocyte Surface Markers","status":"deprecated","homepage":"http://bioportal.bioontology.org/ontologies/1520","identifier":44,"description":"An ontology of CD markers for lymphocyte classification in the cell ontology, and other categories of surface and secreted proteins useful for discriminating between lymphocyte subsets by flow cytometry, ELISPOT, ELISA and other assays typically used for phenotypic identification of individual lymphocytes or lymphocyte populations have been included.","abbreviation":"LSM","year_creation":2008,"deprecation_date":"2016-05-06","deprecation_reason":"This ontology is no longer maintained and doesn't appear to be available for use."},"legacy_ids":["bsg-002676","bsg-s002676"],"name":"FAIRsharing record for: Leukocyte Surface Markers","abbreviation":"LSM","url":"https://fairsharing.org/10.25504/FAIRsharing.82t0w2","doi":"10.25504/FAIRsharing.82t0w2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of CD markers for lymphocyte classification in the cell ontology, and other categories of surface and secreted proteins useful for discriminating between lymphocyte subsets by flow cytometry, ELISPOT, ELISA and other assays typically used for phenotypic identification of individual lymphocytes or lymphocyte populations have been included.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"45","type":"fairsharing_records","attributes":{"created_at":"2015-01-08T23:53:22.000Z","updated_at":"2021-11-24T13:18:26.083Z","metadata":{"doi":"10.25504/FAIRsharing.jw7rq3","name":"Minimum Information for Reporting Next Generation Sequencing Genotyping","status":"ready","contacts":[{"contact_name":"Steven J. Mack","contact_email":"sjmack@chori.org","contact_orcid":"0000-0001-9820-9547"}],"homepage":"http://miring.immunogenomics.org","identifier":45,"description":"MIRING defines the minimum information needed to describe genotyping results for HLA and KIR genes generated using Next Generation Sequencing (NGS) methods, allowing reinterpretation in light of continuous developments in reference sequence and genomic alignment resources for these genes. MIRING further defines the elements of a message to be used to exchange genotyping results. Use of MIRING ensures the long-term portability and broad application of NGS genotyping data for histocompatibility, immunogenetic and immunogenomic applications.","abbreviation":"MIRING","support_links":[{"url":"http://miring.immunogenomics.org","type":"Help documentation"},{"url":"http://igdawg.org/pubs/MIRING_categories.pdf","type":"Help documentation"},{"url":"https://bioinformatics.bethematchclinical.org/HLA-Resources/HML/","type":"Help documentation"}],"year_creation":2014,"associated_tools":[{"url":"http://miring.b12x.org/index.html","name":"MIRING HML Validator Version 1.1.5"}]},"legacy_ids":["bsg-000578","bsg-s000578"],"name":"FAIRsharing record for: Minimum Information for Reporting Next Generation Sequencing Genotyping","abbreviation":"MIRING","url":"https://fairsharing.org/10.25504/FAIRsharing.jw7rq3","doi":"10.25504/FAIRsharing.jw7rq3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIRING defines the minimum information needed to describe genotyping results for HLA and KIR genes generated using Next Generation Sequencing (NGS) methods, allowing reinterpretation in light of continuous developments in reference sequence and genomic alignment resources for these genes. MIRING further defines the elements of a message to be used to exchange genotyping results. Use of MIRING ensures the long-term portability and broad application of NGS genotyping data for histocompatibility, immunogenetic and immunogenomic applications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Annotation","Next generation DNA sequencing","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1844,"pubmed_id":26407912,"title":"Minimum information for reporting next generation sequence genotyping (MIRING): Guidelines for reporting HLA and KIR genotyping via next generation sequencing.","year":2015,"url":"http://doi.org/10.1016/j.humimm.2015.09.011","authors":"Mack SJ,Milius RP,Gifford BD,Sauter J,Hofmann J,Osoegawa K,Robinson J,Groeneweg M,Turenchalk GS,Adai A,Holcomb C,Rozemuller EH,Penning MT,Heuer ML,Wang C,Salit ML,Schmidt AH,Parham PR,Muller C,Hague T,Fischer G,Fernandez-Vina M,Hollenbach JA,Norman PJ,Maiers M","journal":"Hum Immunol","doi":"10.1016/j.humimm.2015.09.011","created_at":"2021-09-30T08:25:47.089Z","updated_at":"2021-09-30T08:25:47.089Z"},{"id":1852,"pubmed_id":26319908,"title":"Histoimmunogenetics Markup Language 1.0: Reporting next generation sequencing-based HLA and KIR genotyping","year":2015,"url":"http://doi.org/10.1016/j.humimm.2015.08.001","authors":"Milius RP, Heuer M, Valiga D, Doroschak KJ, Kennedy CJ, Bolon YT, Schneider J, Pollack J, Kim HR, Cereb N, Hollenbach JA, Mack SJ, Maiers M","journal":"Human Immunology","doi":"10.1016/j.humimm.2015.08.001","created_at":"2021-09-30T08:25:48.072Z","updated_at":"2021-09-30T08:25:48.072Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":110,"relation":"undefined"}],"grants":[{"id":4969,"fairsharing_record_id":45,"organisation_id":2229,"relation":"funds","created_at":"2021-09-30T09:27:09.546Z","updated_at":"2021-09-30T09:30:05.930Z","grant_id":550,"is_lead":false,"saved_state":{"id":2229,"name":"Office of Naval Research (ONR), Arlington, VA, USA","grant":"N00014-08-1-1207","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4966,"fairsharing_record_id":45,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:09.430Z","updated_at":"2021-09-30T09:27:09.430Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4970,"fairsharing_record_id":45,"organisation_id":1317,"relation":"maintains","created_at":"2021-09-30T09:27:09.592Z","updated_at":"2021-09-30T09:27:09.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1317,"name":"Immunogenomic Next Generation Sequencing Data Consortium, Oakland, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4968,"fairsharing_record_id":45,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:09.508Z","updated_at":"2021-09-30T09:30:19.135Z","grant_id":654,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI128775","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4967,"fairsharing_record_id":45,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:09.467Z","updated_at":"2021-09-30T09:30:36.541Z","grant_id":788,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U01AI090905","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8289,"fairsharing_record_id":45,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:55.482Z","updated_at":"2021-09-30T09:31:55.527Z","grant_id":1389,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U01AI067068","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8392,"fairsharing_record_id":45,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:25.668Z","updated_at":"2021-09-30T09:32:25.718Z","grant_id":1615,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01GM109030","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"11","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-06T13:35:48.758Z","metadata":{"doi":"10.25504/FAIRsharing.8jns8","name":"e-Mouse Atlas Project Anatomy Ontology","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"emap@emouseatlas.org"}],"homepage":"http://www.emouseatlas.org/emap/ema/home.php","citations":[],"identifier":11,"description":"A structured controlled vocabulary of stage-specific anatomical structures of the mouse used within the e-Mouse Atlas Project.","abbreviation":"EMAP","support_links":[{"url":"http://www.emouseatlas.org/emap/help/faqs.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.emouseatlas.org/emap/community/communityindex.html","type":"Forum"},{"url":"http://www.emouseatlas.org/emap/ema/theiler_stages/StageDefinition/stagedefinition.html","name":"Stage definition","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emap/ema/staging_criteria/staging_criteria.html","name":"Stage criteria","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emap/ema/theiler_stages/movies/ts_movies.html","name":"Movies","type":"Help documentation"}],"year_creation":1991,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/EMAP","name":"EMAP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/emap.html","name":"emap","portal":"OBO Foundry"}],"deprecation_date":"2023-09-06","deprecation_reason":"The resource homepage is no longer accessible, and a new homepage cannot be found. Please get in touch with us if you have any questions."},"legacy_ids":["bsg-000027","bsg-s000027"],"name":"FAIRsharing record for: e-Mouse Atlas Project Anatomy Ontology","abbreviation":"EMAP","url":"https://fairsharing.org/10.25504/FAIRsharing.8jns8","doi":"10.25504/FAIRsharing.8jns8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of stage-specific anatomical structures of the mouse used within the e-Mouse Atlas Project.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Morphology","Life cycle stage"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":1108,"pubmed_id":24265223,"title":"EMAGE mouse embryo spatial gene expression database: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1155","authors":"Richardson L,Venkataraman S,Stevenson P,Yang Y,Moss J,Graham L,Burton N,Hill B,Rao J,Baldock RA,Armit C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1155","created_at":"2021-09-30T08:24:22.755Z","updated_at":"2021-09-30T11:28:58.918Z"},{"id":2652,"pubmed_id":26208972,"title":"Mouse anatomy ontologies: enhancements and tools for exploring and integrating biomedical data.","year":2015,"url":"http://doi.org/10.1007/s00335-015-9584-9","authors":"Hayamizu TF,Baldock RA,Ringwald M","journal":"Mamm Genome","doi":"10.1007/s00335-015-9584-9","created_at":"2021-09-30T08:27:25.679Z","updated_at":"2021-09-30T08:27:25.679Z"},{"id":2653,"pubmed_id":23972281,"title":"EMAP/EMAPA ontology of mouse developmental anatomy: 2013 update.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-15","authors":"Hayamizu TF,Wicks MN,Davidson DR,Burger A,Ringwald M,Baldock RA","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-15","created_at":"2021-09-30T08:27:25.797Z","updated_at":"2021-09-30T08:27:25.797Z"},{"id":2654,"pubmed_id":14734318,"title":"Formalization of mouse embryo anatomy.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/btg400","authors":"Burger A,Davidson D,Baldock R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btg400","created_at":"2021-09-30T08:27:25.913Z","updated_at":"2021-09-30T08:27:25.913Z"},{"id":2655,"pubmed_id":9651497,"title":"An internet-accessible database of mouse developmental anatomy based on a systematic nomenclature.","year":1998,"url":"http://doi.org/10.1016/s0925-4773(98)00069-0","authors":"Bard JL,Kaufman MH,Dubreuil C,Brune RM,Burger A,Baldock RA,Davidson DR","journal":"Mech Dev","doi":"10.1016/s0925-4773(98)00069-0","created_at":"2021-09-30T08:27:26.029Z","updated_at":"2021-09-30T08:27:26.029Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1402,"relation":"undefined"}],"grants":[{"id":4896,"fairsharing_record_id":11,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:27:06.701Z","updated_at":"2021-09-30T09:31:08.687Z","grant_id":1037,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"HD062499","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":4897,"fairsharing_record_id":11,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:06.737Z","updated_at":"2021-09-30T09:32:36.362Z","grant_id":1696,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"U.1275.2.4.4.1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9154,"fairsharing_record_id":11,"organisation_id":2015,"relation":"funds","created_at":"2022-04-11T12:07:18.049Z","updated_at":"2022-04-11T12:07:18.066Z","grant_id":272,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK092983","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"12","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:25.425Z","metadata":{"doi":"10.25504/FAIRsharing.24yjfc","name":"Habronattus Courtship Ontology","status":"deprecated","contacts":[{"contact_email":"peteremidford@yahoo.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1020","identifier":12,"description":"A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for courtship behavior of the spider Habronattus californicus.","abbreviation":"HC","deprecation_date":"2016-03-10","deprecation_reason":"This ontology is no longer maintained and doesn't appear to be available for use."},"legacy_ids":["bsg-002602","bsg-s002602"],"name":"FAIRsharing record for: Habronattus Courtship Ontology","abbreviation":"HC","url":"https://fairsharing.org/10.25504/FAIRsharing.24yjfc","doi":"10.25504/FAIRsharing.24yjfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for courtship behavior of the spider Habronattus californicus.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Behavior"],"taxonomies":["Habronattus californicus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"13","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-28T10:00:33.761Z","metadata":{"doi":"10.25504/FAIRsharing.pdwqcr","name":"Mouse Adult Gross Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Terry Hayamizu","contact_email":"Terry.Hayamizu@jax.org"}],"homepage":"http://www.informatics.jax.org/vocab/gxd/ma_ontology/","citations":[],"identifier":13,"description":"The Anatomy Ontology for the Adult Mouse is organized spatially and functionally, using \"is a\" and \"part of\" relationships to describe the anatomy of the postnatal mouse. Anatomical terms are arranged as a hierarchy from body region or organ system to tissue substructure. Modeling the anatomy hierarchically makes it possible to record expression results from assays with differing spatial resolution in a consistent and integrated manner. Organizing the anatomical terms as a Directed Acyclic Graph (DAG), i.e., in which a term can have more than one parent, allows presentation of the anatomy from multiple perspectives. In various locations, this ontology is also referred to as: 'Mouse Adult Gross Anatomy ontology', 'Adult Mouse Anatomy', 'Mouse Anatomy' or 'Mouse anatomical entity'. ","abbreviation":"MA","support_links":[{"url":"MAontology@jax.org","name":"General enquiries","type":"Support email"},{"url":"www.informatics.jax.org/userhelp/VOCAB_amad_browser_help.shtml","name":"About the Ontology","type":"Help documentation"},{"url":"https://github.com/obophenotype/mouse-anatomy-ontology","name":"GitHub Project","type":"Github"}],"year_creation":2012,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MA","name":"MA in BioPortal","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/ma.html","name":"MA in the OBO Foundry","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000028","bsg-s000028"],"name":"FAIRsharing record for: Mouse Adult Gross Anatomy Ontology","abbreviation":"MA","url":"https://fairsharing.org/10.25504/FAIRsharing.pdwqcr","doi":"10.25504/FAIRsharing.pdwqcr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Anatomy Ontology for the Adult Mouse is organized spatially and functionally, using \"is a\" and \"part of\" relationships to describe the anatomy of the postnatal mouse. Anatomical terms are arranged as a hierarchy from body region or organ system to tissue substructure. Modeling the anatomy hierarchically makes it possible to record expression results from assays with differing spatial resolution in a consistent and integrated manner. Organizing the anatomical terms as a Directed Acyclic Graph (DAG), i.e., in which a term can have more than one parent, allows presentation of the anatomy from multiple perspectives. In various locations, this ontology is also referred to as: 'Mouse Adult Gross Anatomy ontology', 'Adult Mouse Anatomy', 'Mouse Anatomy' or 'Mouse anatomical entity'. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy"],"domains":["Organ","Tissue"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1285,"pubmed_id":15774030,"title":"The Adult Mouse Anatomical Dictionary: a tool for annotating and integrating data.","year":2005,"url":"http://doi.org/10.1186/gb-2005-6-3-r29","authors":"Hayamizu TF,Mangan M,Corradi JP,Kadin JA,Ringwald M","journal":"Genome Biol","doi":"10.1186/gb-2005-6-3-r29","created_at":"2021-09-30T08:24:43.433Z","updated_at":"2021-09-30T08:24:43.433Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2734,"relation":"applies_to_content"}],"grants":[{"id":4900,"fairsharing_record_id":13,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:27:06.855Z","updated_at":"2022-07-19T10:45:41.184Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":4901,"fairsharing_record_id":13,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:06.923Z","updated_at":"2021-09-30T09:31:32.742Z","grant_id":1218,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HD33745","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"14","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:05.000Z","updated_at":"2022-07-20T12:45:12.112Z","metadata":{"doi":"10.25504/FAIRsharing.r1rjvx","name":"Process and Observation Ontology","status":"ready","contacts":[{"contact_name":"Stéphane Dervaux","contact_email":"stephane.dervaux@versailles.inra.fr"}],"homepage":"http://dx.doi.org/10.15454/1.4702114192525708E12","identifier":14,"description":"A core ontology for modeling transformation processes and their observations. PO2 is part of an interdisciplinary project called Delicious concerning the production and transformation processes in food science. The project combines data from different disciplines like food composition, food structure, sensorial perception and nutrition.","abbreviation":"PO2","year_creation":2016},"legacy_ids":["bsg-001102","bsg-s001102"],"name":"FAIRsharing record for: Process and Observation Ontology","abbreviation":"PO2","url":"https://fairsharing.org/10.25504/FAIRsharing.r1rjvx","doi":"10.25504/FAIRsharing.r1rjvx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A core ontology for modeling transformation processes and their observations. PO2 is part of an interdisciplinary project called Delicious concerning the production and transformation processes in food science. The project combines data from different disciplines like food composition, food structure, sensorial perception and nutrition.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Agricultural Engineering","Life Science"],"domains":["Food","Sense of smell","Sense of taste"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1839,"pubmed_id":null,"title":"PO2 - A Process and Observation Ontology in Food Science. Application to Dairy Gels","year":2016,"url":"http://doi.org/10.1007/978-3-319-49157-8_13","authors":"Ibanescu L., Dibie J., Dervaux S., Guichard E., Raad J.","journal":"In: Garoufallou E., Subirats Coll I., Stellato A., Greenberg J. (eds) Metadata and Semantics Research. MTSR 2016. Communications in Computer and Information Science, vol 672.","doi":"10.1007/978-3-319-49157-8_13","created_at":"2021-09-30T08:25:46.547Z","updated_at":"2021-09-30T08:25:46.547Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":962,"relation":"undefined"}],"grants":[{"id":4902,"fairsharing_record_id":14,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:06.964Z","updated_at":"2021-09-30T09:27:06.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"29","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:43:39.906Z","metadata":{"doi":"10.25504/FAIRsharing.p52pzj","name":"Drosophila developmental ontology","status":"ready","contacts":[{"contact_name":"Clare Pilgrim","contact_email":"cp390@cam.ac.uk","contact_orcid":"0000-0002-1373-1705"}],"homepage":"http://flybase.org/vocabularies","citations":[],"identifier":29,"description":"An ontology of the developmental stages of Drosophila melanogaster. It provides a controlled vocabulary for use in annotation and classification of data related to Drosophila, such as gene expression, phenotypes and images.","abbreviation":"FBdv","support_links":[{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology/issues","type":"Github"},{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology","type":"Github"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FB-DV","name":"FB-DV","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fbdv.html","name":"FBdv","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000055","bsg-s000055"],"name":"FAIRsharing record for: Drosophila developmental ontology","abbreviation":"FBdv","url":"https://fairsharing.org/10.25504/FAIRsharing.p52pzj","doi":"10.25504/FAIRsharing.p52pzj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of the developmental stages of Drosophila melanogaster. It provides a controlled vocabulary for use in annotation and classification of data related to Drosophila, such as gene expression, phenotypes and images.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3670,"relation":"applies_to_content"}],"grants":[{"id":4934,"fairsharing_record_id":29,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:08.048Z","updated_at":"2021-09-30T09:27:08.048Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11846,"fairsharing_record_id":29,"organisation_id":4424,"relation":"maintains","created_at":"2024-06-26T13:03:58.350Z","updated_at":"2024-06-27T09:29:32.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":4424,"name":"Department of Physiology, Development and Neuroscience","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"30","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-21T11:23:31.939Z","metadata":{"doi":"10.25504/FAIRsharing.n66krd","name":"Neural ElectroMagnetic Ontologies","status":"deprecated","contacts":[{"contact_name":"NEMO administrators","contact_email":"ahoyleo@cs.uoregon.edu"}],"homepage":"http://aimlab.cs.uoregon.edu/NEMO/web/index.html","citations":[],"identifier":30,"description":"Neural ElectroMagnetic Ontology (NEMO) describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive/behavioral) attributes, and data-level attributes (acquisition and analysis parameters). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","abbreviation":"NEMO","support_links":[{"url":"dou@cs.uoregon.edu","name":"NEMO Project Contact Person","type":"Support email"}],"year_creation":2008,"associated_tools":[{"url":"https://sourceforge.net/p/nemoontologies/code/HEAD/tree/toolkit/release/","name":"NEMO Toolkit"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NEMO","name":"BioPortal:NEMO","portal":"BioPortal"}],"deprecation_date":"2022-01-19","deprecation_reason":"The ontology haven't been updated in years. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000059","bsg-s000059"],"name":"FAIRsharing record for: Neural ElectroMagnetic Ontologies","abbreviation":"NEMO","url":"https://fairsharing.org/10.25504/FAIRsharing.n66krd","doi":"10.25504/FAIRsharing.n66krd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Neural ElectroMagnetic Ontology (NEMO) describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive/behavioral) attributes, and data-level attributes (acquisition and analysis parameters). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Neurobiology","Cognitive Neuroscience","Life Science"],"domains":["Neuron","Imaging","Cognition","Electroencephalography","Brain"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Interoperability"],"countries":["United States"],"publications":[{"id":1250,"pubmed_id":22180824,"title":"Minimal Information for Neural Electromagnetic Ontologies (MINEMO): A standards-compliant method for analysis and integration of event-related potentials (ERP) data.","year":2011,"url":"http://doi.org/10.4056/sigs.2025347","authors":"Frishkoff G,Sydes J,Mueller K,Frank R,Curran T,Connolly J,Kilborn K,Molfese D,Perfetti C,Malony A","journal":"Stand Genomic Sci","doi":"10.4056/sigs.2025347","created_at":"2021-09-30T08:24:39.433Z","updated_at":"2021-09-30T08:24:39.433Z"},{"id":1860,"pubmed_id":null,"title":"Development of Neural Electromagnetic Ontologies (NEMO): Ontology-based Tools for Representation and Integration of Event-related Brain Potentials","year":2009,"url":"http://doi.org/10.1038/npre.2009.3458.1","authors":"Frishkoff, G., Le Pendu, P., Frank, R., Liu, H., \u0026 Dou, D.","journal":"Proceedings of the International Conference on Biomedical Ontologies (ICBO)","doi":"10.1038/npre.2009.3458.1","created_at":"2021-09-30T08:25:48.957Z","updated_at":"2021-09-30T08:25:48.957Z"}],"licence_links":[],"grants":[{"id":4936,"fairsharing_record_id":30,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:08.132Z","updated_at":"2021-09-30T09:29:57.004Z","grant_id":482,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01EB007684","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8741,"fairsharing_record_id":30,"organisation_id":3356,"relation":"maintains","created_at":"2022-01-21T11:20:34.644Z","updated_at":"2022-01-21T11:20:34.644Z","grant_id":null,"is_lead":true,"saved_state":{"id":3356,"name":"Aim lab","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"31","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:44:31.053Z","metadata":{"doi":"10.25504/FAIRsharing.zevp0z","name":"Systems Biology Results Markup Language","status":"ready","contacts":[{"contact_email":"pedro.mendes@manchester.ac.uk"}],"homepage":"http://www.comp-sys-bio.org/SBRML.html","identifier":31,"description":"Systems Biology Results markup language (SBRML) specifies models composed of molecular species, and their interactions (including reactions). The markup language is intended to specify results from operations carried out on models Ñ SBRML. This resource can be used to communicate experimental data as long as it is possible to express the data in terms of a reference SBML model. SBRML is a means of specifying quantitative results in the context of a systems biology model.","abbreviation":"SBRML","support_links":[{"url":"http://www.comp-sys-bio.org/static/SBRML-spec-level1-version1.pdf","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-000149","bsg-s000149"],"name":"FAIRsharing record for: Systems Biology Results Markup Language","abbreviation":"SBRML","url":"https://fairsharing.org/10.25504/FAIRsharing.zevp0z","doi":"10.25504/FAIRsharing.zevp0z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Systems Biology Results markup language (SBRML) specifies models composed of molecular species, and their interactions (including reactions). The markup language is intended to specify results from operations carried out on models Ñ SBRML. This resource can be used to communicate experimental data as long as it is possible to express the data in terms of a reference SBML model. SBRML is a means of specifying quantitative results in the context of a systems biology model.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11156},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16941}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computational Biology","Life Science","Systems Biology"],"domains":["Modeling and simulation","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":20,"pubmed_id":20176582,"title":"SBRML: a markup language for associating systems biology data with models.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq069","authors":"Dada JO,Spasic I,Paton NW,Mendes P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq069","created_at":"2021-09-30T08:22:22.555Z","updated_at":"2021-09-30T08:22:22.555Z"}],"licence_links":[{"licence_name":"Academic Free License (AFL)","licence_id":4,"licence_url":"https://opensource.org/licenses/AFL-3.0","link_id":1043,"relation":"undefined"}],"grants":[{"id":4937,"fairsharing_record_id":31,"organisation_id":1818,"relation":"maintains","created_at":"2021-09-30T09:27:08.173Z","updated_at":"2021-09-30T09:27:08.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":1818,"name":"Mendes Research Group, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":4938,"fairsharing_record_id":31,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:08.212Z","updated_at":"2021-09-30T09:29:14.753Z","grant_id":156,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/C008129/2","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"32","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:25.680Z","metadata":{"doi":"10.25504/FAIRsharing.20df5w","name":"ENCODE peak information Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format13","identifier":32,"description":"The ENCODE peak information Format is used to provide called regions of signal enrichment based on pooled, normalized (interpreted) data.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000227","bsg-s000227"],"name":"FAIRsharing record for: ENCODE peak information Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.20df5w","doi":"10.25504/FAIRsharing.20df5w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ENCODE peak information Format is used to provide called regions of signal enrichment based on pooled, normalized (interpreted) data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome","Regulatory region"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4939,"fairsharing_record_id":32,"organisation_id":3037,"relation":"undefined","created_at":"2021-09-30T09:27:08.249Z","updated_at":"2021-09-30T09:27:08.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":4940,"fairsharing_record_id":32,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:08.291Z","updated_at":"2021-09-30T09:27:08.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"33","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:57:33.129Z","metadata":{"doi":"10.25504/FAIRsharing.ny3z9j","name":"Biological Imaging methods Ontology","status":"ready","contacts":[{"contact_name":"Chris Woodcock","contact_email":"chris@bio.umass.edu"}],"homepage":"http://flybase.org/vocabularies","identifier":33,"description":"A structured controlled vocabulary of sample preparation, visualization and imaging methods used in biomedical research.","abbreviation":"FBbi","support_links":[{"url":"http://flybase.org/contact/email","name":"General contact","type":"Contact form"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FBbi","name":"FBbi","portal":"BioPortal"}]},"legacy_ids":["bsg-000072","bsg-s000072"],"name":"FAIRsharing record for: Biological Imaging methods Ontology","abbreviation":"FBbi","url":"https://fairsharing.org/10.25504/FAIRsharing.ny3z9j","doi":"10.25504/FAIRsharing.ny3z9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of sample preparation, visualization and imaging methods used in biomedical research.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16143}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science"],"domains":["Imaging","Image","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":4942,"fairsharing_record_id":33,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:27:08.365Z","updated_at":"2021-09-30T09:27:08.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"34","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:45:12.388Z","metadata":{"doi":"10.25504/FAIRsharing.fw8k2k","name":"Thesaurus for Animal Physiology and Livestock Systems","status":"deprecated","contacts":[{"contact_name":"Agnes Girard","contact_email":"agnes.girard@rennes.inra.fr"}],"homepage":"http://agroportal.lirmm.fr/ontologies/TRIPHASE","citations":[],"identifier":34,"description":"TriPhase is a large thesaurus in the domain of animal physiology and livestock designed by INRA. This resource has been marked as Uncertain as we cannot find a homepage, publication or other documentation for it. Please contact us if you have any information regarding this resource.","abbreviation":"TRIPHASE","support_links":[{"url":"claire.nedellec@jouy.inra.fr","name":"Claire Nedellec","type":"Support email"}],"year_creation":2015,"deprecation_date":"2022-03-24","deprecation_reason":"This ontology is obsolete and inactive. "},"legacy_ids":["bsg-001116","bsg-s001116"],"name":"FAIRsharing record for: Thesaurus for Animal Physiology and Livestock Systems","abbreviation":"TRIPHASE","url":"https://fairsharing.org/10.25504/FAIRsharing.fw8k2k","doi":"10.25504/FAIRsharing.fw8k2k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TriPhase is a large thesaurus in the domain of animal physiology and livestock designed by INRA. This resource has been marked as Uncertain as we cannot find a homepage, publication or other documentation for it. Please contact us if you have any information regarding this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Animal Physiology","Animal Husbandry","Life Science"],"domains":[],"taxonomies":["Animalia"],"user_defined_tags":["Livestock"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1841,"relation":"undefined"}],"grants":[{"id":4943,"fairsharing_record_id":34,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:27:08.433Z","updated_at":"2021-09-30T09:27:08.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"35","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-01T10:00:52.112Z","metadata":{"doi":"10.25504/FAIRsharing.sm90nh","name":"C. elegans development","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"wchen@its.caltech.edu"}],"homepage":"https://www.wormbase.org/tools/ontology_browser","citations":[],"identifier":35,"description":"A structured controlled vocabulary of the development of Caenorhabditis elegans. This resource is also referred to as the Life Stage ontology on the wormbase database.","abbreviation":"WBLS","support_links":[{"url":"https://github.com/obophenotype/c-elegans-development-ontology","name":"GitHub","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WB-LS","name":"WB-LS","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/wbls.html","name":"wbls","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000057","bsg-s000057"],"name":"FAIRsharing record for: C. elegans development","abbreviation":"WBLS","url":"https://fairsharing.org/10.25504/FAIRsharing.sm90nh","doi":"10.25504/FAIRsharing.sm90nh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the development of Caenorhabditis elegans. This resource is also referred to as the Life Stage ontology on the wormbase database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science"],"domains":["Life cycle","Life cycle stage"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4945,"fairsharing_record_id":35,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:08.516Z","updated_at":"2021-09-30T09:27:08.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4944,"fairsharing_record_id":35,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:27:08.474Z","updated_at":"2021-09-30T09:27:08.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"28","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:43:43.623Z","metadata":{"doi":"10.25504/FAIRsharing.y2qkst","name":"Drosophila anatomy ontology","status":"ready","contacts":[{"contact_name":"Clare Pilgrim","contact_email":"cp390@cam.ac.uk","contact_orcid":"0000-0002-1373-1705"}],"homepage":"http://flybase.org/vocabularies","citations":[],"identifier":28,"description":"An ontology of the anatomy of Drosophila melanogaster. It can be used for annotation and classification of data related to Drosophila anatomy, such as gene expression, phenotype and images. It was originally developed by FlyBase, who continue to maintain it and use it for curation.","abbreviation":"FBbt","support_links":[{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology/issues","type":"Github"},{"url":"https://github.com/FlyBase/drosophila-anatomy-developmental-ontology","type":"Github"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FB-BT","name":"FB-BT","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/fbbt.html","name":"FBbt","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000010","bsg-s000010"],"name":"FAIRsharing record for: Drosophila anatomy ontology","abbreviation":"FBbt","url":"https://fairsharing.org/10.25504/FAIRsharing.y2qkst","doi":"10.25504/FAIRsharing.y2qkst","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of the anatomy of Drosophila melanogaster. It can be used for annotation and classification of data related to Drosophila anatomy, such as gene expression, phenotype and images. It was originally developed by FlyBase, who continue to maintain it and use it for curation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Gene expression","Image","Phenotype","Life cycle stage"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":878,"pubmed_id":16381917,"title":"FlyBase: anatomical data, images and queries.","year":2005,"url":"http://doi.org/10.1093/nar/gkj068","authors":"Grumbling G,Strelets V","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj068","created_at":"2021-09-30T08:23:56.919Z","updated_at":"2021-09-30T11:28:54.635Z"},{"id":1847,"pubmed_id":24139062,"title":"The Drosophila anatomy ontology","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-32","authors":"Costa M., Reeve S., Grumbling G., Osumi-Sutherland D.","journal":"Journal of Biomedical Semantics","doi":"10.1186/2041-1480-4-32","created_at":"2021-09-30T08:25:47.473Z","updated_at":"2021-09-30T08:25:47.473Z"},{"id":1856,"pubmed_id":22402613,"title":"A strategy for building neuro-anatomy ontologies","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts113","authors":"Osumi-Sutherland D., Reeve S., Mungall C., Ruttenberg A. Neuhaus F, Jefferis G.S.X.E, Armstrong J.D.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts113","created_at":"2021-09-30T08:25:48.506Z","updated_at":"2021-09-30T08:25:48.506Z"},{"id":1858,"pubmed_id":22180411,"title":"The Virtual Fly Brain Browser and Query Interface","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr677","authors":"Milyaev N., Osumi-Sutherland D., Reeve S., Burton N., Baldock R.A., Armstrong J.D.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr677","created_at":"2021-09-30T08:25:48.723Z","updated_at":"2021-09-30T08:25:48.723Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3669,"relation":"applies_to_content"}],"grants":[{"id":4929,"fairsharing_record_id":28,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:07.848Z","updated_at":"2021-09-30T09:27:07.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"Wellcome","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":4926,"fairsharing_record_id":28,"organisation_id":3191,"relation":"maintains","created_at":"2021-09-30T09:27:07.737Z","updated_at":"2021-09-30T09:27:07.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":3191,"name":"Virtual Fly Brain","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4931,"fairsharing_record_id":28,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:07.932Z","updated_at":"2021-09-30T09:27:07.932Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4928,"fairsharing_record_id":28,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:07.801Z","updated_at":"2021-09-30T09:29:02.793Z","grant_id":70,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/G02233X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11845,"fairsharing_record_id":28,"organisation_id":4424,"relation":"maintains","created_at":"2024-06-26T13:02:28.711Z","updated_at":"2024-06-27T09:28:21.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":4424,"name":"Department of Physiology, Development and Neuroscience","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"36","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-01-18T14:39:36.815Z","metadata":{"doi":"10.25504/FAIRsharing.3gxr9b","name":"Simple Omnibus Format in Text","status":"ready","contacts":[{"contact_name":"Tanya Barrett","contact_email":"barrett@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/geo/info/soft2.html","identifier":36,"description":"Using Simple Omnibus Format in Text (SOFT), researchers can readily upload and download data. The resource is text-based so can be compatible with simple spreadsheets and data applications. A SOFT file can simultaneously contain both tabulated data as well as descriptive information for a chain of related Platforms, Samples, and/or Series records.","abbreviation":"SOFT","support_links":[{"url":"http://www.ncbi.nlm.nih.gov/geo/info/soft2.html","type":"Help documentation"},{"url":"http://www.ncbi.nlm.nih.gov/geo/info/soft.html","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-000077","bsg-s000077"],"name":"FAIRsharing record for: Simple Omnibus Format in Text","abbreviation":"SOFT","url":"https://fairsharing.org/10.25504/FAIRsharing.3gxr9b","doi":"10.25504/FAIRsharing.3gxr9b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Using Simple Omnibus Format in Text (SOFT), researchers can readily upload and download data. The resource is text-based so can be compatible with simple spreadsheets and data applications. A SOFT file can simultaneously contain both tabulated data as well as descriptive information for a chain of related Platforms, Samples, and/or Series records.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12402}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science"],"domains":["Assay","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":430,"pubmed_id":11752295,"title":"Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.207","authors":"Edgar R., Domrachev M., Lash AE.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/30.1.207","created_at":"2021-09-30T08:23:06.766Z","updated_at":"2021-09-30T08:23:06.766Z"},{"id":1002,"pubmed_id":15608262,"title":"NCBI GEO: mining millions of expression profiles--database and tools.","year":2004,"url":"http://doi.org/10.1093/nar/gki022","authors":"Barrett T,Suzek TO,Troup DB,Wilhite SE,Ngau WC,Ledoux P,Rudnev D,Lash AE,Fujibuchi W,Edgar R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki022","created_at":"2021-09-30T08:24:10.902Z","updated_at":"2021-09-30T11:28:56.625Z"},{"id":1416,"pubmed_id":17099226,"title":"NCBI GEO: mining tens of millions of expression profiles--database and tools update.","year":2006,"url":"http://doi.org/10.1093/nar/gkl887","authors":"Barrett T,Troup DB,Wilhite SE,Ledoux P,Rudnev D,Evangelista C,Kim IF,Soboleva A,Tomashevsky M,Edgar R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl887","created_at":"2021-09-30T08:24:58.232Z","updated_at":"2021-09-30T11:29:08.243Z"}],"licence_links":[],"grants":[{"id":4946,"fairsharing_record_id":36,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:27:08.567Z","updated_at":"2022-01-18T14:35:30.443Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"37","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-16T19:03:52.354Z","metadata":{"doi":"10.25504/FAIRsharing.jkt8ye","name":"i2b2-patient_visit_dimensions","status":"ready","contacts":[],"homepage":"https://www.i2b2.org","citations":[],"identifier":37,"description":"This database is a tool for describing patient information and facts such as patient health history, diagnosis, medication etc...This is supported by the i2b2 software. Datasets are gathered from a variety of sources. The i2b2 team merged with the TranSMART Foundation in 2017.","abbreviation":"i2b2-patvisdims","support_links":[{"url":"https://community.i2b2.org/wiki/display/IWG/Ontology+Basics?preview=/337069/337134/Ontology%20basics.ppt","name":"Presentation","type":"Help documentation"},{"url":"https://community.i2b2.org/wiki/pages/viewpage.action?pageId=342684","name":"i2b2 Community Wiki","type":"Wikipedia"}],"year_creation":2005},"legacy_ids":["bsg-002815","bsg-s002815"],"name":"FAIRsharing record for: i2b2-patient_visit_dimensions","abbreviation":"i2b2-patvisdims","url":"https://fairsharing.org/10.25504/FAIRsharing.jkt8ye","doi":"10.25504/FAIRsharing.jkt8ye","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is a tool for describing patient information and facts such as patient health history, diagnosis, medication etc...This is supported by the i2b2 software. Datasets are gathered from a variety of sources. The i2b2 team merged with the TranSMART Foundation in 2017.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":4948,"fairsharing_record_id":37,"organisation_id":1296,"relation":"maintains","created_at":"2021-09-30T09:27:08.643Z","updated_at":"2021-09-30T09:27:08.643Z","grant_id":null,"is_lead":false,"saved_state":{"id":1296,"name":"I2b2 Transmart Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":4949,"fairsharing_record_id":37,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:27:08.674Z","updated_at":"2021-09-30T09:27:08.674Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4950,"fairsharing_record_id":37,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:08.712Z","updated_at":"2021-09-30T09:27:08.712Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"38","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:15:40.156Z","metadata":{"doi":"10.25504/FAIRsharing.cfcd4r","name":"Neurophysiology Data Translation Format","status":"ready","homepage":"https://www.frontiersin.org/10.3389/conf.fnins.2010.13.00118/event_abstract","identifier":38,"description":"The purpose of the Neurophysiology Data Translation Format (NDF) is to provide a means of sharing neurophysiology experimental data and derived data between services and tools developed within the CARMEN project. This document specifies the NDF. The specification supports the types of data that are currently used by members of the CARMEN consortium and provides a capability to support future data types. It is capable of accommodating external data file formats as well as metadata such as user defined experimental descriptions and the history (provenance) of derived data.","abbreviation":"NDF","year_creation":2010},"legacy_ids":["bsg-000081","bsg-s000081"],"name":"FAIRsharing record for: Neurophysiology Data Translation Format","abbreviation":"NDF","url":"https://fairsharing.org/10.25504/FAIRsharing.cfcd4r","doi":"10.25504/FAIRsharing.cfcd4r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of the Neurophysiology Data Translation Format (NDF) is to provide a means of sharing neurophysiology experimental data and derived data between services and tools developed within the CARMEN project. This document specifies the NDF. The specification supports the types of data that are currently used by members of the CARMEN consortium and provides a capability to support future data types. It is capable of accommodating external data file formats as well as metadata such as user defined experimental descriptions and the history (provenance) of derived data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Neurophysiology","Life Science"],"domains":["Neuron","Assay"],"taxonomies":[],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":4951,"fairsharing_record_id":38,"organisation_id":3154,"relation":"maintains","created_at":"2021-09-30T09:27:08.745Z","updated_at":"2021-09-30T09:27:08.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4952,"fairsharing_record_id":38,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:27:08.778Z","updated_at":"2021-09-30T09:32:01.169Z","grant_id":1430,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","grant":"EP/E002331/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4953,"fairsharing_record_id":38,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:08.802Z","updated_at":"2021-09-30T09:29:23.957Z","grant_id":231,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000984/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"39","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-02-21T11:29:38.372Z","metadata":{"doi":"10.25504/FAIRsharing.gp3r4n","name":"Preferred Reporting Items for Systematic reviews and Meta-Analyses","status":"ready","contacts":[{"contact_name":"general contact","contact_email":"prisma@ohri.ca"}],"homepage":"http://www.prisma-statement.org/","citations":[],"identifier":39,"description":"PRISMA is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses.The aim of the PRISMA Statement is to help authors improve the reporting of systematic reviews and meta-analyses. This resource focuses on randomized trials, but can also be used as a basis for reporting systematic reviews of other types of research, particularly evaluations of interventions.","abbreviation":"PRISMA","support_links":[{"url":"http://www.prisma-statement.org/News","name":"News","type":"Blog/News"},{"url":"http://www.prisma-statement.org/PRISMAStatement/Checklist","name":"Checklists","type":"Help documentation"},{"url":"https://twitter.com/PRISMAStatement","type":"Twitter"}],"year_creation":2009},"legacy_ids":["bsg-000065","bsg-s000065"],"name":"FAIRsharing record for: Preferred Reporting Items for Systematic reviews and Meta-Analyses","abbreviation":"PRISMA","url":"https://fairsharing.org/10.25504/FAIRsharing.gp3r4n","doi":"10.25504/FAIRsharing.gp3r4n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRISMA is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses.The aim of the PRISMA Statement is to help authors improve the reporting of systematic reviews and meta-analyses. This resource focuses on randomized trials, but can also be used as a basis for reporting systematic reviews of other types of research, particularly evaluations of interventions.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11930},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12396},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16931}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Systematic review","Data transformation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","Italy","United Kingdom"],"publications":[{"id":1978,"pubmed_id":19621072,"title":"Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.","year":2009,"url":"http://doi.org/10.1371/journal.pmed.1000097","authors":"Moher D,Liberati A,Tetzlaff J,Altman DG","journal":"PLoS Med","doi":"10.1371/journal.pmed.1000097","created_at":"2021-09-30T08:26:02.573Z","updated_at":"2021-09-30T08:26:02.573Z"},{"id":4134,"pubmed_id":null,"title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1136/bmj.n71","authors":"Page, Matthew J; McKenzie, Joanne E; Bossuyt, Patrick M; Boutron, Isabelle; Hoffmann, Tammy C; Mulrow, Cynthia D; Shamseer, Larissa; Tetzlaff, Jennifer M; Akl, Elie A; Brennan, Sue E; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M; Hróbjartsson, Asbjørn; Lalu, Manoj M; Li, Tianjing; Loder, Elizabeth W; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A; Stewart, Lesley A; Thomas, James; Tricco, Andrea C; Welch, Vivian A; Whiting, Penny; Moher, David; ","journal":"BMJ","doi":"10.1136/bmj.n71","created_at":"2024-02-17T09:35:06.852Z","updated_at":"2024-02-17T09:35:06.852Z"},{"id":4135,"pubmed_id":null,"title":"The PRISMA 2020 statement: An updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1371/journal.pmed.1003583","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"PLoS Med","doi":"10.1371/journal.pmed.1003583","created_at":"2024-02-17T09:35:23.627Z","updated_at":"2024-02-17T09:35:23.627Z"},{"id":4136,"pubmed_id":null,"title":"The PRISMA 2020 statement: An updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1016/j.ijsu.2021.105906","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"International Journal of Surgery","doi":"10.1016/j.ijsu.2021.105906","created_at":"2024-02-17T09:35:40.038Z","updated_at":"2024-02-17T09:35:40.038Z"},{"id":4137,"pubmed_id":null,"title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1186/s13643-021-01626-4","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"Syst Rev","doi":"10.1186/s13643-021-01626-4","created_at":"2024-02-17T09:35:54.180Z","updated_at":"2024-02-17T09:35:54.180Z"},{"id":4138,"pubmed_id":null,"title":"The PRISMA 2020 statement: An updated guideline for reporting systematic reviews","year":2021,"url":"http://dx.doi.org/10.1016/j.jclinepi.2021.03.001","authors":"Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle; Hoffmann, Tammy C.; Mulrow, Cynthia D.; Shamseer, Larissa; Tetzlaff, Jennifer M.; Akl, Elie A.; Brennan, Sue E.; Chou, Roger; Glanville, Julie; Grimshaw, Jeremy M.; Hróbjartsson, Asbjørn; Lalu, Manoj M.; Li, Tianjing; Loder, Elizabeth W.; Mayo-Wilson, Evan; McDonald, Steve; McGuinness, Luke A.; Stewart, Lesley A.; Thomas, James; Tricco, Andrea C.; Welch, Vivian A.; Whiting, Penny; Moher, David; ","journal":"Journal of Clinical Epidemiology","doi":"10.1016/j.jclinepi.2021.03.001","created_at":"2024-02-17T09:37:15.940Z","updated_at":"2024-02-17T09:37:15.940Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3504,"relation":"applies_to_content"}],"grants":[{"id":9070,"fairsharing_record_id":39,"organisation_id":3112,"relation":"maintains","created_at":"2022-03-30T10:05:33.063Z","updated_at":"2022-03-30T10:05:33.063Z","grant_id":null,"is_lead":true,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":4960,"fairsharing_record_id":39,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:27:09.035Z","updated_at":"2021-09-30T09:30:06.181Z","grant_id":552,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"COFIN - PRIN 2006 prot. 2006062298","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":6327,"fairsharing_record_id":39,"organisation_id":1381,"relation":"maintains","created_at":"2021-09-30T09:27:56.669Z","updated_at":"2022-04-07T22:02:38.410Z","grant_id":null,"is_lead":true,"saved_state":{"id":1381,"name":"Institute for Genome Sciences, University of Maryland, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":4954,"fairsharing_record_id":39,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:27:08.832Z","updated_at":"2021-09-30T09:27:08.832Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4955,"fairsharing_record_id":39,"organisation_id":3099,"relation":"funds","created_at":"2021-09-30T09:27:08.874Z","updated_at":"2021-09-30T09:27:08.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":3099,"name":"University of Modena and Emilia-romagna","types":["University"],"is_lead":false,"relation":"funds"}},{"id":4958,"fairsharing_record_id":39,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:27:08.986Z","updated_at":"2021-09-30T09:27:08.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":11397,"fairsharing_record_id":39,"organisation_id":2280,"relation":"maintains","created_at":"2024-02-20T11:26:17.904Z","updated_at":"2024-02-20T11:26:17.904Z","grant_id":null,"is_lead":true,"saved_state":{"id":2280,"name":"Ottawa Hospital Research Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":6328,"fairsharing_record_id":39,"organisation_id":2184,"relation":"funds","created_at":"2021-09-30T09:27:56.711Z","updated_at":"2022-04-07T22:02:38.476Z","grant_id":null,"is_lead":false,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":6330,"fairsharing_record_id":39,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:56.782Z","updated_at":"2022-04-07T22:02:38.659Z","grant_id":37,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54-HG004028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9067,"fairsharing_record_id":39,"organisation_id":544,"relation":"funds","created_at":"2022-03-30T07:55:19.341Z","updated_at":"2022-03-30T07:55:19.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":544,"name":"Cochrane, London, United Kingdom","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8083,"fairsharing_record_id":39,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:30:50.062Z","updated_at":"2021-09-30T09:30:50.114Z","grant_id":893,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"COFIN - PRIN 2002 prot. 2002061749","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9069,"fairsharing_record_id":39,"organisation_id":1892,"relation":"maintains","created_at":"2022-03-30T10:05:33.034Z","updated_at":"2022-03-30T10:05:33.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":1892,"name":"Monash University, Melbourne, Australia","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":7873,"fairsharing_record_id":39,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:18.299Z","updated_at":"2022-04-07T22:02:38.539Z","grant_id":187,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R24OD011883","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9264,"fairsharing_record_id":39,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.379Z","updated_at":"2022-04-11T12:07:26.395Z","grant_id":784,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"R01RR025342","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9265,"fairsharing_record_id":39,"organisation_id":1970,"relation":"funds","created_at":"2022-04-11T12:07:26.456Z","updated_at":"2022-04-11T12:07:26.471Z","grant_id":10,"is_lead":false,"saved_state":{"id":1970,"name":"National Center for Research Resources (NCRR), National Institutes of Health, Bethesda, MD, USA","grant":"R01RR025341","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb2tEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--84bb3896258fdecb0010dc42333efe4bdefd681b/Screenshot%20from%202024-02-17%2009-38-06.png?disposition=inline","exhaustive_licences":true}},{"id":"40","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:07.000Z","updated_at":"2022-07-20T12:32:26.790Z","metadata":{"doi":"10.25504/FAIRsharing.ge8y23","name":"Groundnut Ontology","status":"ready","contacts":[{"contact_name":"Trushar Shah","contact_email":"tm.shah@cgiar.org"}],"homepage":"https://cropontology.org/term/CO_337:ROOT","citations":[],"identifier":40,"description":"The Groundnut Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","abbreviation":"CO_337","support_links":[{"url":"helpdesk@cropontology-curationtool.org","name":"Crop Ontology Helpdesk","type":"Support email"},{"url":"http://www.cropontology.org/feedback","name":"Crop Ontology Forum","type":"Forum"},{"url":"http://www.cropontology.org/help","name":"Tutorials","type":"Help documentation"}],"year_creation":2016},"legacy_ids":["bsg-001118","bsg-s001118"],"name":"FAIRsharing record for: Groundnut Ontology","abbreviation":"CO_337","url":"https://fairsharing.org/10.25504/FAIRsharing.ge8y23","doi":"10.25504/FAIRsharing.ge8y23","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Groundnut Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Botany","Agriculture","Life Science"],"domains":["Food","Phenotype"],"taxonomies":["Arachis hypogaea"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1809,"relation":"undefined"}],"grants":[{"id":4962,"fairsharing_record_id":40,"organisation_id":485,"relation":"maintains","created_at":"2021-09-30T09:27:09.108Z","updated_at":"2021-09-30T09:27:09.108Z","grant_id":null,"is_lead":false,"saved_state":{"id":485,"name":"CGIAR, Montpellier, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":4961,"fairsharing_record_id":40,"organisation_id":1485,"relation":"maintains","created_at":"2021-09-30T09:27:09.065Z","updated_at":"2021-09-30T09:27:09.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":1485,"name":"International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"15","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:31.763Z","metadata":{"doi":"10.25504/FAIRsharing.dqnfkg","name":"Mosquito gross anatomy","status":"uncertain","contacts":[{"contact_name":"C. Louis","contact_email":"louis@imbb.forth.gr"}],"homepage":"https://www.vectorbase.org/ontology-browser","identifier":15,"description":"A structured controlled vocabulary of the anatomy of mosquitoes.","abbreviation":"TGMA","support_links":[{"url":"https://www.vectorbase.org/contact","name":"General contact","type":"Contact form"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TGMA","name":"TGMA","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tgma.html","name":"tgma","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000026","bsg-s000026"],"name":"FAIRsharing record for: Mosquito gross anatomy","abbreviation":"TGMA","url":"https://fairsharing.org/10.25504/FAIRsharing.dqnfkg","doi":"10.25504/FAIRsharing.dqnfkg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy of mosquitoes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":[],"taxonomies":["Culicidae"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":2331,"pubmed_id":18237287,"title":"Anatomical ontologies of mosquitoes and ticks, and their web browsers in VectorBase.","year":2008,"url":"http://doi.org/10.1111/j.1365-2583.2008.00781.x","authors":"Topalis P,Tzavlaki C,Vestaki K,Dialynas E,Sonenshine DE,Butler R,Bruggner RV,Stinson EO,Collins FH,Louis C","journal":"Insect Mol Biol","doi":"10.1111/j.1365-2583.2008.00781.x","created_at":"2021-09-30T08:26:46.202Z","updated_at":"2021-09-30T08:26:46.202Z"}],"licence_links":[],"grants":[{"id":4903,"fairsharing_record_id":15,"organisation_id":3180,"relation":"maintains","created_at":"2021-09-30T09:27:07.005Z","updated_at":"2021-09-30T09:27:07.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":3180,"name":"VectorBase","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"16","type":"fairsharing_records","attributes":{"created_at":"2016-02-03T11:35:53.000Z","updated_at":"2023-09-06T14:15:20.038Z","metadata":{"doi":"10.25504/FAIRsharing.6qrmz2","name":"Pharmacometrics Markup Language","status":"deprecated","contacts":[{"contact_name":"Maciej J Swat","contact_email":"maciej.swat@gmail.com","contact_orcid":"0000-0003-1721-9036"}],"homepage":"http://www.pharmml.org","citations":[],"identifier":16,"description":"PharmML is an exchange format for non-linear mixed effect models used in pharmacometrics and provides means to encode models, trial designs, and modelling steps. This standard allows for a smooth exchange of models between different software tools used in population pharmacokinetics/pharmacodynamics.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","abbreviation":"PharmML","support_links":[{"url":"pharmml.contact@gmail.com","name":"General Contact","type":"Support email"},{"url":"http://www.ddmore.eu/forum","name":"DDMoRe forum","type":"Forum"},{"url":"http://www.pharmml.org/documentation2","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/PharmML","name":"@PharmML","type":"Twitter"}],"year_creation":2011,"associated_tools":[{"url":"http://www.pharmml.org/version-0-1","name":"libPharmML 0.4"},{"url":"http://infix2pharmml.sourceforge.net/","name":"Infix notation to PharmML math online converter 0.7"},{"url":"http://simulx.webpopix.org/","name":"Simulx"},{"url":"http://repository.ddmore.eu/","name":"DDMoRe Model Repository"}],"deprecation_date":"2023-09-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information."},"legacy_ids":["bsg-000639","bsg-s000639"],"name":"FAIRsharing record for: Pharmacometrics Markup Language","abbreviation":"PharmML","url":"https://fairsharing.org/10.25504/FAIRsharing.6qrmz2","doi":"10.25504/FAIRsharing.6qrmz2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PharmML is an exchange format for non-linear mixed effect models used in pharmacometrics and provides means to encode models, trial designs, and modelling steps. This standard allows for a smooth exchange of models between different software tools used in population pharmacokinetics/pharmacodynamics.\nNote from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11176},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11730},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11882},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12067},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12221},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16904}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Biomedical Science"],"domains":["Reaction data","Modeling and simulation"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":925,"pubmed_id":26225259,"title":"Pharmacometrics Markup Language (PharmML): Opening New Perspectives for Model Exchange in Drug Development","year":2015,"url":"http://doi.org/10.1002/psp4.57","authors":"Swat, M. J., Moodie, S., Wimalaratne, S. M. et al.","journal":"CPT: Pharmacometrics \u0026 Systems Pharmacology","doi":"10.1002/psp4.57","created_at":"2021-09-30T08:24:02.130Z","updated_at":"2021-09-30T08:24:02.130Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":247,"relation":"undefined"}],"grants":[{"id":4906,"fairsharing_record_id":16,"organisation_id":786,"relation":"maintains","created_at":"2021-09-30T09:27:07.126Z","updated_at":"2021-09-30T09:27:07.126Z","grant_id":null,"is_lead":false,"saved_state":{"id":786,"name":"Drug Disease Model Resource (DDMoRe), Sandwich, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":4904,"fairsharing_record_id":16,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:27:07.046Z","updated_at":"2021-09-30T09:31:17.733Z","grant_id":1106,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115156","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9251,"fairsharing_record_id":16,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.485Z","updated_at":"2022-04-11T12:07:25.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"17","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-27T17:18:18.767Z","metadata":{"doi":"10.25504/FAIRsharing.3mprr8","name":"XML for evolutionary biology and comparative genomics.","status":"ready","contacts":[{"contact_name":"Christian Zmasek","contact_email":"phyloxml@gmail.com","contact_orcid":"0000-0002-7933-2424"}],"homepage":"http://www.phyloxml.org/","citations":[],"identifier":17,"description":"PhyloXML is an XML language designed to describe phylogenetic trees (or networks) and associated data. PhyloXML provides elements for commonly used features, such as taxonomic information, gene names and identifiers, branch lengths, support values, and gene duplication and speciation events.","abbreviation":"phyloXML","support_links":[{"url":"https://groups.google.com/forum/?fromgroups#!forum/phyloxml","type":"Forum"},{"url":"http://www.phyloxml.org/documentation/version_1.20/phyloxml.html","type":"Help documentation"}],"associated_tools":[{"url":"https://github.com/cmzmasek/phyloxml-js","name":"JavaScript support"}]},"legacy_ids":["bsg-000289","bsg-s000289"],"name":"FAIRsharing record for: XML for evolutionary biology and comparative genomics.","abbreviation":"phyloXML","url":"https://fairsharing.org/10.25504/FAIRsharing.3mprr8","doi":"10.25504/FAIRsharing.3mprr8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhyloXML is an XML language designed to describe phylogenetic trees (or networks) and associated data. PhyloXML provides elements for commonly used features, such as taxonomic information, gene names and identifiers, branch lengths, support values, and gene duplication and speciation events.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12505}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Phylogenetics","Evolutionary Biology","Life Science","Comparative Genomics"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1718,"pubmed_id":19860910,"title":"phyloXML: XML for evolutionary biology and comparative genomics.","year":2009,"url":"http://doi.org/10.1186/1471-2105-10-356","authors":"Han MV,Zmasek CM","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-10-356","created_at":"2021-09-30T08:25:32.479Z","updated_at":"2021-09-30T08:25:32.479Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"70","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-04T08:21:48.186Z","metadata":{"doi":"10.25504/FAIRsharing.ve0710","name":"Molecular Interaction Tabular","status":"ready","contacts":[{"contact_name":"Samuel Kerrien","contact_email":"skerrien@ebi.ac.uk","contact_orcid":"0000-0002-3013-0469"}],"homepage":"http://psicquic.github.io/PSIMITAB.html","citations":[],"identifier":70,"description":"The Proteomic Standards Initiative Molecular Interactions (PSI-MI) data interchange format is a common tab-delimited (TAB) molecular interactions format (versions 2.5 - 2.8). Format developments, including the latest version release can be found at the homepage. ","abbreviation":"PSI-MI TAB","support_links":[{"url":"psi-mi@ebi.ac.uk","type":"Support email"},{"url":"http://www.psidev.info/node/60","type":"Help documentation"},{"url":"psidev-mi-dev@lists.sourceforge.net","type":"Mailing list"}],"year_creation":2005,"associated_tools":[{"url":"http://www.psidev.info/index.php?q=node/60#tools","name":"Tools"}]},"legacy_ids":["bsg-000120","bsg-s000120"],"name":"FAIRsharing record for: Molecular Interaction Tabular","abbreviation":"PSI-MI TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.ve0710","doi":"10.25504/FAIRsharing.ve0710","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Proteomic Standards Initiative Molecular Interactions (PSI-MI) data interchange format is a common tab-delimited (TAB) molecular interactions format (versions 2.5 - 2.8). Format developments, including the latest version release can be found at the homepage. ","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11210},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11432}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Molecular interaction","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Japan","United States","European Union"],"publications":[{"id":868,"pubmed_id":17925023,"title":"Broadening the horizon--level 2.5 of the HUPO-PSI format for molecular interactions.","year":2007,"url":"http://doi.org/10.1186/1741-7007-5-44","authors":"Kerrien S., Orchard S., Montecchi-Palazzi L. et al.","journal":"BMC Biol.","doi":"10.1186/1741-7007-5-44","created_at":"2021-09-30T08:23:55.889Z","updated_at":"2021-09-30T08:23:55.889Z"}],"licence_links":[],"grants":[{"id":5017,"fairsharing_record_id":70,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:11.393Z","updated_at":"2021-09-30T09:31:05.713Z","grant_id":1013,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"021902 (RII3)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8130,"fairsharing_record_id":70,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:31:06.872Z","updated_at":"2021-09-30T09:31:06.933Z","grant_id":1023,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"GM070064","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5018,"fairsharing_record_id":70,"organisation_id":1289,"relation":"maintains","created_at":"2021-09-30T09:27:11.436Z","updated_at":"2021-09-30T09:27:11.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":1289,"name":"HUPO-PSI initiative: Molecular Interactions Working Group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5020,"fairsharing_record_id":70,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:27:11.527Z","updated_at":"2021-09-30T09:30:47.007Z","grant_id":868,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-FC03-02ER63421","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5019,"fairsharing_record_id":70,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:27:11.485Z","updated_at":"2021-09-30T09:30:00.537Z","grant_id":510,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","grant":"1 R01 GM071909","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"71","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:51:10.415Z","metadata":{"doi":"10.25504/FAIRsharing.pw2hnb","name":"Microbiological Common Language","status":"deprecated","contacts":[{"contact_name":"Bert Verslyppe","contact_email":"Bert.Verslyppe@UGent.be"}],"homepage":"http://www.straininfo.net/projects/mcl","citations":[],"identifier":71,"description":"MCL is a data exchange standard for microbiological information. In short, MCL defines terms which can be used to reference and describe microorganisms. It is designed to form a simple and generic framework leveraging the electronical exchange of information about microorganisms. MCL is loosely coupled from its actual representation technologies and is currently used to structure XML and RDF files.","abbreviation":"MCL","support_links":[{"url":"StrainInfo@UGent.be","type":"Support email"},{"url":"http://www.straininfo.net/projects/mcl/reference","type":"Help documentation"}],"year_creation":2010,"deprecation_date":"2022-02-01","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000118","bsg-s000118"],"name":"FAIRsharing record for: Microbiological Common Language","abbreviation":"MCL","url":"https://fairsharing.org/10.25504/FAIRsharing.pw2hnb","doi":"10.25504/FAIRsharing.pw2hnb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MCL is a data exchange standard for microbiological information. In short, MCL defines terms which can be used to reference and describe microorganisms. It is designed to form a simple and generic framework leveraging the electronical exchange of information about microorganisms. MCL is loosely coupled from its actual representation technologies and is currently used to structure XML and RDF files.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11244},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11950}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Microbiology"],"domains":[],"taxonomies":["Algae","Archaea","Bacteria","Fungi","Protozoa"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":973,"pubmed_id":20211251,"title":"Microbiological Common Language (MCL): a standard for electronic information exchange in the Microbial Commons.","year":2010,"url":"http://doi.org/10.1016/j.resmic.2010.02.005","authors":"Verslyppe B,Kottmann R,De Smet W,De Baets B,De Vos P,Dawyndt P","journal":"Res Microbiol","doi":"10.1016/j.resmic.2010.02.005","created_at":"2021-09-30T08:24:07.647Z","updated_at":"2021-09-30T08:24:07.647Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"73","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:21.000Z","updated_at":"2024-03-21T13:58:56.829Z","metadata":{"doi":"10.25504/FAIRsharing.4z037c","name":"LINCS Extended Metadata Standard: Antibody Reagents","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Antibody_Metadata_2017.pdf","citations":[],"identifier":73,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor). Important metadata to be reported include a standardized name and ID of the antibody, identity of the target protein, target organism, information on the immunogen (name, source, modification of the protein/peptide), antibody clonality, antibody isotype, antibody purity, antibody specificity, and whether it was used as a primary or secondary antibody in an assay.","abbreviation":"LINCS 2: Antibody Reagents","support_links":[{"url":"https://lincsproject.org/LINCS/files/Antibody_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000657","bsg-s000657"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Antibody Reagents","abbreviation":"LINCS 2: Antibody Reagents","url":"https://fairsharing.org/10.25504/FAIRsharing.4z037c","doi":"10.25504/FAIRsharing.4z037c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor). Important metadata to be reported include a standardized name and ID of the antibody, identity of the target protein, target organism, information on the immunogen (name, source, modification of the protein/peptide), antibody clonality, antibody isotype, antibody purity, antibody specificity, and whether it was used as a primary or secondary antibody in an assay.","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11907},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12498}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunogenetics","Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Catalytic activity","Antibody"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5023,"fairsharing_record_id":73,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:11.635Z","updated_at":"2021-09-30T09:27:11.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11559,"fairsharing_record_id":73,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:56.293Z","updated_at":"2024-03-21T13:58:56.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"74","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T13:15:18.000Z","updated_at":"2024-03-21T13:58:10.533Z","metadata":{"doi":"10.25504/FAIRsharing.xjx7vy","name":"LINCS Extended Metadata Standard: Proteins","status":"ready","contacts":[{"contact_email":"sherry.jenkins@mssm.edu"}],"homepage":"https://lincsproject.org/LINCS/files/Protein_Metadata_2017.pdf","citations":[],"identifier":74,"description":"LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. A standardized description of protein reagents is critical to link results of different LINCS assay types. Protein reagents need to be identified in a manner that enables screening results associated with a specific protein reagent (e.g., KINOMEscan) to be linked with data obtained by other assays in which that protein participates as a (material) component (e.g., in a cell-based assay readout via the L1000 transcript profiling method).","abbreviation":"LINCS 2: Proteins","support_links":[{"url":"https://lincsproject.org/LINCS/files/Protein_Metadata_2016_General.pdf","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000656","bsg-s000656"],"name":"FAIRsharing record for: LINCS Extended Metadata Standard: Proteins","abbreviation":"LINCS 2: Proteins","url":"https://fairsharing.org/10.25504/FAIRsharing.xjx7vy","doi":"10.25504/FAIRsharing.xjx7vy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. A standardized description of protein reagents is critical to link results of different LINCS assay types. Protein reagents need to be identified in a manner that enables screening results associated with a specific protein reagent (e.g., KINOMEscan) to be linked with data obtained by other assays in which that protein participates as a (material) component (e.g., in a cell-based assay readout via the L1000 transcript profiling method).","linked_records":[],"linking_records":[{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11903},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12494}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Metaproteomics","Proteomics","Life Science"],"domains":["Expression data","Reaction data","Cellular assay","Proteome","Catalytic activity","Protein-containing complex","Protein Analysis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":997,"pubmed_id":24518066,"title":"Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).","year":2014,"url":"http://doi.org/10.1177/1087057114522514","authors":"Vempati UD,Chung C,Mader C,Koleti A,Datar N,Vidovic D,Wrobel D,Erickson S,Muhlich JL,Berriz G,Benes CH,Subramanian A,Pillai A,Shamu CE,Schurer SC","journal":"J Biomol Screen","doi":"10.1177/1087057114522514","created_at":"2021-09-30T08:24:10.355Z","updated_at":"2021-09-30T08:24:10.355Z"}],"licence_links":[],"grants":[{"id":5025,"fairsharing_record_id":74,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:11.719Z","updated_at":"2021-09-30T09:27:11.719Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11537,"fairsharing_record_id":74,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:10.115Z","updated_at":"2024-03-21T13:58:10.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"50","type":"fairsharing_records","attributes":{"created_at":"2020-09-11T13:33:56.000Z","updated_at":"2024-03-06T11:53:16.206Z","metadata":{"doi":"10.25504/FAIRsharing.d69ee0","name":"ISO 19136-1:2020 Geographic information -- Geography Markup Language -- Part 1: Fundamentals","status":"ready","contacts":[{"contact_name":"OGC General Contact","contact_email":"memberadmin@ogc.org"}],"homepage":"https://www.ogc.org/standards/gml","identifier":50,"description":"The Geography Markup Language (GML) is an XML grammar for expressing geographical features. GML serves as a modeling language for geographic systems as well as an open interchange format for geographic transactions on the Internet. Generic geographic data sets are described using GML via points, lines and polygons. GML also supports community-specific extensions, allowing users to refer to objects such as roads, highways, and bridges instead of points, lines and polygons. GML is both a Open Geospatial Consortium (OGC) and an ISO (ISO 19136-1:2020) standard, and therefore abbreviations from both sources are included in the record.","abbreviation":"GML","year_creation":2005},"legacy_ids":["bsg-001522","bsg-s001522"],"name":"FAIRsharing record for: ISO 19136-1:2020 Geographic information -- Geography Markup Language -- Part 1: Fundamentals","abbreviation":"GML","url":"https://fairsharing.org/10.25504/FAIRsharing.d69ee0","doi":"10.25504/FAIRsharing.d69ee0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Geography Markup Language (GML) is an XML grammar for expressing geographical features. GML serves as a modeling language for geographic systems as well as an open interchange format for geographic transactions on the Internet. Generic geographic data sets are described using GML via points, lines and polygons. GML also supports community-specific extensions, allowing users to refer to objects such as roads, highways, and bridges instead of points, lines and polygons. GML is both a Open Geospatial Consortium (OGC) and an ISO (ISO 19136-1:2020) standard, and therefore abbreviations from both sources are included in the record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":2138,"relation":"undefined"},{"licence_name":"OGC Document Notice","licence_id":612,"licence_url":"https://www.ogc.org/ogc/document","link_id":2139,"relation":"undefined"}],"grants":[{"id":4977,"fairsharing_record_id":50,"organisation_id":2256,"relation":"maintains","created_at":"2021-09-30T09:27:09.850Z","updated_at":"2021-09-30T09:27:09.850Z","grant_id":null,"is_lead":true,"saved_state":{"id":2256,"name":"Open Geospatial Consortium (OGC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":4976,"fairsharing_record_id":50,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:09.809Z","updated_at":"2021-09-30T09:27:09.809Z","grant_id":null,"is_lead":true,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"51","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T15:30:20.000Z","updated_at":"2024-02-12T21:39:51.770Z","metadata":{"doi":"10.25504/FAIRsharing.Yvc76F","name":"International GeoSample Number","status":"deprecated","contacts":[{"contact_name":"IGSN e.V. Management Office","contact_email":"info@igsn.org"}],"homepage":"https://igsn.github.io/","citations":[],"identifier":51,"description":"The IGSN is a globally unique persistent identifier for physical specimens. The IGSN registration service will facilitate the discovery, access, and sharing of samples, ensure preservation and access of sample data, aid identification of samples in the literature, and advance the exchange of digital sample data among interoperable data systems. ","abbreviation":"IGSN (GeoSample)","support_links":[{"url":"https://support.datacite.org/docs/igsn-id-registration-guide","name":"Registering IGSN IDs","type":"Help documentation"},{"url":"https://igsn.github.io/syntax/","name":"Syntax Guidelines","type":"Help documentation"}],"year_creation":2011,"cross_references":[],"deprecation_date":"2022-12-01","deprecation_reason":"The scope for the IGSN identifier has broadened to include all kinds of physical samples. It is now spelled out as \"International Generic Sample Number\".","regular_expression":"^[A-Za-z]{2,4}[A-Za-z0-9.-]{1,71}$"},"legacy_ids":["bsg-001495","bsg-s001495"],"name":"FAIRsharing record for: International GeoSample Number","abbreviation":"IGSN (GeoSample)","url":"https://fairsharing.org/10.25504/FAIRsharing.Yvc76F","doi":"10.25504/FAIRsharing.Yvc76F","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IGSN is a globally unique persistent identifier for physical specimens. The IGSN registration service will facilitate the discovery, access, and sharing of samples, ensure preservation and access of sample data, aid identification of samples in the literature, and advance the exchange of digital sample data among interoperable data systems. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":4978,"fairsharing_record_id":51,"organisation_id":1313,"relation":"maintains","created_at":"2021-09-30T09:27:09.889Z","updated_at":"2023-12-22T20:45:40.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1313,"name":"IGSN e.V.","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"53","type":"fairsharing_records","attributes":{"created_at":"2018-10-22T21:40:20.000Z","updated_at":"2022-07-20T11:51:50.817Z","metadata":{"doi":"10.25504/FAIRsharing.76c96a","name":"OpenAIRE Guidelines for Literature Repositories","status":"ready","contacts":[{"contact_name":"General enquiries","contact_email":"guidelines@openaire.eu"}],"homepage":"https://guidelines.openaire.eu/en/latest/literature/index.html","citations":[],"identifier":53,"description":"OpenAIRE Guidelines for Literature Repository Managers provides orientation for repository managers to define and implement their local data management policies according to the requirements of the OpenAIRE - Open Access Infrastructure for Research in Europe.","abbreviation":null,"support_links":[{"url":"https://github.com/openaire/guidelines-literature-repositories/issues","name":"Issues","type":"Github"},{"url":"https://zenodo.org/record/1299203#.XfjZ6zJKhQI","name":"OpenAIRE Guidelines for institutional and thematic repository managers 4.0","type":"Help documentation"},{"url":"https://zenodo.org/record/1487968#.XfjaEjJKhQI","name":"OpenAIRE Guidelines for Literature Repositories version 3.0","type":"Help documentation"},{"url":"https://zenodo.org/record/59208#.XfjaFDJKhQI","name":"OpenAIRE Guidelines 2.0 : Guidelines for content providers of the OpenAIRE information space","type":"Help documentation"},{"url":"https://zenodo.org/record/59206#.XfjaFjJKhQI","name":"OpenAIRE Guidelines 1.1 : Guidelines for content providers of the OpenAIRE information space","type":"Help documentation"},{"url":"https://zenodo.org/record/59204#.XfjaGDJKhQI","name":"OpenAIRE Guidelines 1.0 : Guidelines for content providers of the OpenAIRE information space","type":"Help documentation"}],"year_creation":2010,"associated_tools":[{"url":"https://www.openaire.eu/validator/","name":"OpenAIRE Validator"}]},"legacy_ids":["bsg-001331","bsg-s001331"],"name":"FAIRsharing record for: OpenAIRE Guidelines for Literature Repositories","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.76c96a","doi":"10.25504/FAIRsharing.76c96a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OpenAIRE Guidelines for Literature Repository Managers provides orientation for repository managers to define and implement their local data management policies according to the requirements of the OpenAIRE - Open Access Infrastructure for Research in Europe.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12948},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13348}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Resource metadata","Publication","Literature curation"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":828,"relation":"undefined"}],"grants":[{"id":4979,"fairsharing_record_id":53,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:27:09.921Z","updated_at":"2021-09-30T09:27:09.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9472,"fairsharing_record_id":53,"organisation_id":2252,"relation":"maintains","created_at":"2022-04-28T19:10:50.804Z","updated_at":"2022-04-28T19:10:50.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"54","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.173Z","metadata":{"doi":"10.25504/FAIRsharing.5rzy8w","name":"Minimum Information About Sample Preparation for a Phosphoproteomics Experiment","status":"uncertain","contacts":[{"contact_name":"Joaquim Abian","contact_email":"Joaquim.Abian.csic@uab.car","contact_orcid":"0000-0003-2823-5429"}],"homepage":"http://mibbi.sf.net/projects/MIASPPE.shtml","identifier":54,"description":"Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","abbreviation":"MIASPPE","support_links":[{"url":"http://www.psidev.info/groups/protein-separation","type":"Help documentation"},{"url":"https://bitbucket.org/lp-csic-uab/","type":"Help documentation"}],"year_creation":2009},"legacy_ids":["bsg-000180","bsg-s000180"],"name":"FAIRsharing record for: Minimum Information About Sample Preparation for a Phosphoproteomics Experiment","abbreviation":"MIASPPE","url":"https://fairsharing.org/10.25504/FAIRsharing.5rzy8w","doi":"10.25504/FAIRsharing.5rzy8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Please note: We cannot find an up-to-date website or official reporting guideline document for this resource. As such, we have marked it as Uncertain. Please contact us if you have any information on the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11434},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11583}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Mass spectrum","Peptide","Chromatography","Phosphorylation","Assay","Sample preparation for assay","Phosphoprotein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1248,"pubmed_id":19367720,"title":"Phosphorylation analysis of primary human T lymphocytes using sequential IMAC and titanium oxide enrichment.","year":2009,"url":"http://doi.org/10.1021/pr800500r","authors":"Carrascal M,Ovelleiro D,Casas V,Gay M,Abian J","journal":"J Proteome Res","doi":"10.1021/pr800500r","created_at":"2021-09-30T08:24:39.215Z","updated_at":"2021-09-30T08:24:39.215Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":44,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":121,"relation":"undefined"}],"grants":[{"id":4980,"fairsharing_record_id":54,"organisation_id":2379,"relation":"maintains","created_at":"2021-09-30T09:27:09.944Z","updated_at":"2021-09-30T09:27:09.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":2379,"name":"Proteomics Laboratory CSIC/UAB, Barcelona, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"55","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:13.546Z","metadata":{"doi":"10.25504/FAIRsharing.nttge3","name":"Suggested Ontology for PHARMacogenomics","status":"ready","contacts":[{"contact_name":"Adrien Coulet","contact_email":"Adrien.Coulet@loria.fr","contact_orcid":"0000-0002-1466-062X"}],"homepage":"http://bioportal.bioontology.org/ontologies/SOPHARM","identifier":55,"description":"SO-Pharm is a formal ontology that represent domain knowledge in pharmacogenomics. To achieve this goal, SO-Pharm articulates ontologies from sub domains of phamacogenomics (i.e. genotype, phenotype, drug, trial representations). SO-Pharm enables to support knowledge about pharmacogenomic hypothesis, case study, and investigations in pharmacogenomics.","abbreviation":"SOPHARM","support_links":[{"url":"https://members.loria.fr/ACoulet/","name":"Adrien Coulet's webpage","type":"Help documentation"},{"url":"https://hal.inria.fr/inria-00089824/en/","type":"Help documentation"}],"year_creation":2007,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SOPHARM","name":"SOPHARM","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/sopharm.html","name":"sopharm","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000099","bsg-s000099"],"name":"FAIRsharing record for: Suggested Ontology for PHARMacogenomics","abbreviation":"SOPHARM","url":"https://fairsharing.org/10.25504/FAIRsharing.nttge3","doi":"10.25504/FAIRsharing.nttge3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SO-Pharm is a formal ontology that represent domain knowledge in pharmacogenomics. To achieve this goal, SO-Pharm articulates ontologies from sub domains of phamacogenomics (i.e. genotype, phenotype, drug, trial representations). SO-Pharm enables to support knowledge about pharmacogenomic hypothesis, case study, and investigations in pharmacogenomics.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11709},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12408}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Pharmacogenomics","Biomedical Science","Preclinical Studies"],"domains":["Drug","Chemical entity","Phenotype","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":1814,"pubmed_id":21431576,"title":"Ontology-based knowledge discovery in pharmacogenomics.","year":2011,"url":"http://doi.org/10.1007/978-1-4419-7046-6_36","authors":"Coulet A,Smail-Tabbone M,Napoli A,Devignes MD","journal":"Adv Exp Med Biol","doi":"10.1007/978-1-4419-7046-6_36","created_at":"2021-09-30T08:25:43.597Z","updated_at":"2021-09-30T08:25:43.597Z"}],"licence_links":[],"grants":[{"id":4982,"fairsharing_record_id":55,"organisation_id":2981,"relation":"maintains","created_at":"2021-09-30T09:27:09.994Z","updated_at":"2021-09-30T09:27:09.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":2981,"name":"Universit de Lorraine, Nancy, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4981,"fairsharing_record_id":55,"organisation_id":2594,"relation":"maintains","created_at":"2021-09-30T09:27:09.971Z","updated_at":"2021-09-30T09:27:09.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2594,"name":"SOPHARM administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"67","type":"fairsharing_records","attributes":{"created_at":"2020-01-06T13:47:24.000Z","updated_at":"2022-04-11T12:07:17.206Z","metadata":{"doi":"10.25504/FAIRsharing.jE0WcA","name":"Drug Database for Inborn Errors of Metabolism Ontology","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"http://aber-owl.net/ontology/DDIEM/","identifier":67,"description":"DDIEM Ontology for the Drug Database for Inborn Errors of Metabolism. The DDIEM database is a database of therapeutic strategies and treatments for inborn errors of metabolism. These strategies are classified by mechanism and outcome using the DDIEM Ontology.","abbreviation":"DDIEM Ontology","support_links":[{"url":"robert.hoehndorf@kaust.edu.sa","name":"Robert Hoehndorf","type":"Support email"},{"url":"pns12@cam.ac.uk","name":"Dr Paul Schofield","type":"Support email"},{"url":"https://github.com/bio-ontology-research-group/DDIEM/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/bio-ontology-research-group/DDIEM","name":"GitHub Project","type":"Github"}],"year_creation":2020,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/DDIEM","name":"DDIEM","portal":"BioPortal"}]},"legacy_ids":["bsg-001425","bsg-s001425"],"name":"FAIRsharing record for: Drug Database for Inborn Errors of Metabolism Ontology","abbreviation":"DDIEM Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.jE0WcA","doi":"10.25504/FAIRsharing.jE0WcA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DDIEM Ontology for the Drug Database for Inborn Errors of Metabolism. The DDIEM database is a database of therapeutic strategies and treatments for inborn errors of metabolism. These strategies are classified by mechanism and outcome using the DDIEM Ontology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Drug","Phenotype","Disease","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Saudi Arabia","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":910,"relation":"undefined"}],"grants":[{"id":5010,"fairsharing_record_id":67,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:27:11.134Z","updated_at":"2021-09-30T09:27:11.134Z","grant_id":null,"is_lead":true,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9142,"fairsharing_record_id":67,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.195Z","updated_at":"2022-04-11T12:07:17.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"68","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-24T09:38:08.114Z","metadata":{"doi":"10.25504/FAIRsharing.wz1w7t","name":"Minimum Information About a Spinal Cord Injury experiment","status":"ready","contacts":[{"contact_name":"Vance Lemmon","contact_email":"vlemmon@me.com","contact_orcid":"0000-0003-3550-7576"}],"homepage":"https://regenbase.org/miasci-online.html","citations":[],"identifier":68,"description":"MIASCI is a reporting standard for metadata regarding preclinical spinal cord injury (SCI) experiments. It is based on other reporting standards such as MIAME: minimal information about a microarray experiment. The project aims to improve the replicability of SCI research findings through this minimum information standard for describing SCI experiments and their results, and an ontology to formally describe SCI concepts and the relationships between them. Please note that the ontology remains available, even though MIASCI Online is non-functional. ","abbreviation":"MIASCI","support_links":[{"url":"https://twitter.com/MIASCI","type":"Twitter"},{"url":"https://regenbase.org/team--contact.html","name":"General Contact Form and Emails","type":"Contact form"},{"url":"https://regenbase.org/faq.html","name":"MIASCI FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2013,"associated_tools":[]},"legacy_ids":["bsg-000541","bsg-s000541"],"name":"FAIRsharing record for: Minimum Information About a Spinal Cord Injury experiment","abbreviation":"MIASCI","url":"https://fairsharing.org/10.25504/FAIRsharing.wz1w7t","doi":"10.25504/FAIRsharing.wz1w7t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIASCI is a reporting standard for metadata regarding preclinical spinal cord injury (SCI) experiments. It is based on other reporting standards such as MIAME: minimal information about a microarray experiment. The project aims to improve the replicability of SCI research findings through this minimum information standard for describing SCI experiments and their results, and an ontology to formally describe SCI concepts and the relationships between them. Please note that the ontology remains available, even though MIASCI Online is non-functional. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Anatomy","Medicine","Neurobiology","Biomedical Science","Translational Medicine"],"domains":["Expression data","Protein identification","Bioimaging","Neuron","Image","Functional association","Assay","Stereo microscope","Morphology","Brain"],"taxonomies":["Homo sapiens","Mammalia","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Australia","Canada","China","Germany","Japan","Switzerland","United Kingdom","United States"],"publications":[{"id":636,"pubmed_id":24870067,"title":"Minimum Information About a Spinal Cord Injury Experiment (MIASCI) - a proposed reporting standard for spinal cord injury experiments.","year":2014,"url":"http://doi.org/10.1089/neu.2014.3400","authors":"Lemmon VP, Ferguson AR, Popovich PG, Xu XM, Snow DM, Igarashi M, Beattie CE, Bixby JL, Abeyruwan SW, Beattie MS, Bethea J, Bradke F, Bresnahan JC, Bunge MB, Callahan A, David S, Dunlop SA, Fawcett J, Fehlings M, Fischer I, Giger RJ, Goshima Y, Grimpe B, Hagg T, Hall ED, Harrison BJ, Harvey AR, He C, He Z, Hirata T, Hoke A, Hulsebosch CE, Hurtado A, Jain A, Kadoya K, Kamiguchi H, Kengaku M, Kocsis JD Ph D, Kwon BK, Lee JK, Liebl DJ PhD, Liu SJ, Lowery LA, Mandrekar-Colucci S, Martin JH, Mason CA, McTigue DM, Mokarram N, Moon LD, Muller HW, Nakamura T, Namba T, Nishibe M, Oinuma I, Oudega M, Pleasure DE, Raisman G, Rasband MN, Reier PJ, Santiago-Medina M, Schwab JM, Schwab ME, Shinmyo Y, Silver J, Smith GM, So KF, Sofroniew MV Md PhD, Strittmatter SM, Tuszynski MH, Twiss JL, Visser U, Watkins TA, Wu W, Yoon SO, Yuzaki M, Zheng B, Zhou F, Zou Y.","journal":"Journal of Neurotrauma","doi":"10.1089/neu.2014.3400","created_at":"2021-09-30T08:23:30.019Z","updated_at":"2021-09-30T08:23:30.019Z"},{"id":848,"pubmed_id":27055827,"title":"RegenBase: a knowledge base of spinal cord injury biology for translational research.","year":2016,"url":"http://doi.org/10.1093/database/baw040","authors":"Callahan A, Abeyruwan SW, Al-Ali H, Sakurai K, Ferguson AR, Popovich PG, Shah NH, Visser U, Bixby JL, Lemmon VP.","journal":"Database (Oxford)","doi":"10.1093/database/baw040","created_at":"2021-09-30T08:23:53.545Z","updated_at":"2021-09-30T08:23:53.545Z"}],"licence_links":[{"licence_name":"RegenBase Terms","licence_id":1074,"licence_url":"https://regenbase.org/terms-of-use.html","link_id":3341,"relation":"applies_to_content"}],"grants":[{"id":5012,"fairsharing_record_id":68,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:11.227Z","updated_at":"2021-09-30T09:27:11.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10466,"fairsharing_record_id":68,"organisation_id":2035,"relation":"funds","created_at":"2023-03-28T13:40:25.840Z","updated_at":"2023-03-28T13:40:25.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10878,"fairsharing_record_id":68,"organisation_id":818,"relation":"maintains","created_at":"2023-09-21T13:33:08.142Z","updated_at":"2023-09-21T13:37:16.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":818,"name":"University of Miami","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5014,"fairsharing_record_id":68,"organisation_id":1825,"relation":"funds","created_at":"2021-09-30T09:27:11.295Z","updated_at":"2021-09-30T09:27:11.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":5013,"fairsharing_record_id":68,"organisation_id":1825,"relation":"maintains","created_at":"2021-09-30T09:27:11.264Z","updated_at":"2023-09-21T13:37:16.746Z","grant_id":null,"is_lead":true,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":11080,"fairsharing_record_id":68,"organisation_id":3790,"relation":"maintains","created_at":"2023-11-08T13:09:54.773Z","updated_at":"2023-11-08T13:09:54.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":3790,"name":"University of Miami Institute for Data Science and Computing","types":["Research institute","University"],"is_lead":false,"relation":"maintains"}},{"id":9315,"fairsharing_record_id":68,"organisation_id":2023,"relation":"funds","created_at":"2022-04-11T12:07:29.842Z","updated_at":"2022-04-11T12:07:29.859Z","grant_id":1359,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","grant":"1R01 NS080145","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdkFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--885dbc87b44bc15f79a084e9d73e6a54367489fc/1424801361.png?disposition=inline","exhaustive_licences":true}},{"id":"69","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T15:27:12.894Z","metadata":{"doi":"10.25504/FAIRsharing.2hh7g7","name":"Genomic Contextual Data Markup Language","status":"ready","contacts":[{"contact_name":"Renzo Kottmann","contact_email":"rkottman@mpi-bremen.de"}],"homepage":"https://www.liebertpub.com/doi/10.1089/omi.2008.0A10","citations":[],"identifier":69,"description":"The Genomic Contextual Data Markup Language (GCDML) is a core project of the Genomic Standards Consortium (GSC) that is a reference implementation the Minimum Information about a Genome Sequence (MIGS/MIMS/MIMARKS), and the extensions the Minimum Information about a Metagenome Sequence (MIMS) and Minimum Information about a MARKer gene Sequence (MIMARKS).","abbreviation":"GCDML","support_links":[{"url":"https://www.gensc.org/pages/standards-intro.html","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000079","bsg-s000079"],"name":"FAIRsharing record for: Genomic Contextual Data Markup Language","abbreviation":"GCDML","url":"https://fairsharing.org/10.25504/FAIRsharing.2hh7g7","doi":"10.25504/FAIRsharing.2hh7g7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genomic Contextual Data Markup Language (GCDML) is a core project of the Genomic Standards Consortium (GSC) that is a reference implementation the Minimum Information about a Genome Sequence (MIGS/MIMS/MIMARKS), and the extensions the Minimum Information about a Metagenome Sequence (MIMS) and Minimum Information about a MARKer gene Sequence (MIMARKS).","linked_records":[],"linking_records":[{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11853},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12403}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Metagenome","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":999,"pubmed_id":18479204,"title":"A standard MIGS/MIMS compliant XML Schema: toward the development of the Genomic Contextual Data Markup Language (GCDML).","year":2008,"url":"http://doi.org/10.1089/omi.2008.0A10","authors":"Kottmann R,Gray T,Murphy S,Kagan L,Kravitz S,Lombardot T,Field D,Glockner FO","journal":"OMICS","doi":"10.1089/omi.2008.0A10","created_at":"2021-09-30T08:24:10.580Z","updated_at":"2021-09-30T08:24:10.580Z"}],"licence_links":[],"grants":[{"id":5016,"fairsharing_record_id":69,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:11.351Z","updated_at":"2021-09-30T09:27:11.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"56","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T18:06:47.690Z","metadata":{"doi":"10.25504/FAIRsharing.3wbgm0","name":"Mouse PATHology","status":"ready","contacts":[{"contact_name":"Paul Schofield","contact_email":"pns12@cam.ac.uk","contact_orcid":"0000-0002-5111-7263"}],"homepage":"https://github.com/PaulNSchofield/mpath","citations":[],"identifier":56,"description":"Mouse PATHology (MPATH) ontology is a structured controlled vocabulary of mutant and transgenic mouse pathology phenotypes. This resource was developed by the Pathology Consortium of Pathbase (www.pathbase.net).","abbreviation":"MPATH","year_creation":2004,"cross_references":[{"url":"http://www.obofoundry.org/ontology/mpath.html","name":"mpath","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000127","bsg-s000127"],"name":"FAIRsharing record for: Mouse PATHology","abbreviation":"MPATH","url":"https://fairsharing.org/10.25504/FAIRsharing.3wbgm0","doi":"10.25504/FAIRsharing.3wbgm0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mouse PATHology (MPATH) ontology is a structured controlled vocabulary of mutant and transgenic mouse pathology phenotypes. This resource was developed by the Pathology Consortium of Pathbase (www.pathbase.net).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Biomedical Science"],"domains":["Mutation","Histology","Phenotype","Disease","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["Belgium","Germany","Italy","Sweden","United Kingdom","United States"],"publications":[{"id":1675,"pubmed_id":20587689,"title":"Pathbase and the MPATH ontology. Community resources for mouse histopathology.","year":2010,"url":"http://doi.org/10.1177/0300985810374845","authors":"Schofield PN,Gruenberger M,Sundberg JP","journal":"Vet Pathol","doi":"10.1177/0300985810374845","created_at":"2021-09-30T08:25:27.654Z","updated_at":"2021-09-30T08:25:27.654Z"}],"licence_links":[],"grants":[{"id":4987,"fairsharing_record_id":56,"organisation_id":2294,"relation":"maintains","created_at":"2021-09-30T09:27:10.180Z","updated_at":"2021-09-30T09:27:10.180Z","grant_id":null,"is_lead":false,"saved_state":{"id":2294,"name":"Pathbase administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":4985,"fairsharing_record_id":56,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:27:10.100Z","updated_at":"2021-09-30T09:32:36.845Z","grant_id":1700,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"QLRI-CT-1999-00320","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4983,"fairsharing_record_id":56,"organisation_id":847,"relation":"funds","created_at":"2021-09-30T09:27:10.028Z","updated_at":"2021-09-30T09:27:10.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":847,"name":"Ellison Medical Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4984,"fairsharing_record_id":56,"organisation_id":2179,"relation":"funds","created_at":"2021-09-30T09:27:10.058Z","updated_at":"2021-09-30T09:27:10.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":2179,"name":"North American Hair Research Society","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":4988,"fairsharing_record_id":56,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:10.217Z","updated_at":"2021-09-30T09:29:02.668Z","grant_id":69,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"CA089713","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8086,"fairsharing_record_id":56,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:51.596Z","updated_at":"2021-09-30T09:30:51.643Z","grant_id":906,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"RR17436","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8126,"fairsharing_record_id":56,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:05.879Z","updated_at":"2021-09-30T09:31:05.923Z","grant_id":1015,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"AR49288","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9141,"fairsharing_record_id":56,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:17.148Z","updated_at":"2022-04-11T12:07:17.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"57","type":"fairsharing_records","attributes":{"created_at":"2017-10-04T05:29:42.000Z","updated_at":"2022-07-20T10:21:12.349Z","metadata":{"doi":"10.25504/FAIRsharing.sbbbf6","name":"Genome Biology Ontology Language","status":"in_development","contacts":[{"contact_name":"Jasper Koehorst","contact_email":"jasper.koehorst@wur.nl","contact_orcid":"0000-0001-8172-8981"}],"homepage":"http://gbol.life","identifier":57,"description":"To enable interoperability of genome annotations, we have developed the Genome Biology Ontology Language (GBOL) and associated stack (GBOL stack). GBOL is provenance centered and provides a consistent representation of genome derived automated predictions linked to the dataset-wise and element-wise provenance of predicted elements. GBOL is modular in design, extendible and is integrated with existing ontologies. Interoperability of linked data can only be guaranteed through the application of tools that provide the means for a continuous validation of generated linked data. The GBOL stack enforces consistency within and between the OWL and ShEx definitions. Genome wide large scale functional analyses can then easily be achieved using SPARQL queries. Additionally, modules have been developed to serialize the linked data (RDF) and to generate a plain text format files with integrated support for data provenance that that mimic the indentation structure of GenBank and EMBL formats.","abbreviation":"GBOL","support_links":[{"url":"http://gbol.life","name":"GBOL website","type":"Help documentation"}],"year_creation":2017,"associated_tools":[{"url":"https://gitlab.com/Empusa","name":"Empusa"},{"url":"http://gitlab.com/gbol","name":"GBOL"},{"url":"http://gitlab.com/sapp/conversion","name":"SAPP - Conversion"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GBOL","name":"GBOL","portal":"BioPortal"}]},"legacy_ids":["bsg-000721","bsg-s000721"],"name":"FAIRsharing record for: Genome Biology Ontology Language","abbreviation":"GBOL","url":"https://fairsharing.org/10.25504/FAIRsharing.sbbbf6","doi":"10.25504/FAIRsharing.sbbbf6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To enable interoperability of genome annotations, we have developed the Genome Biology Ontology Language (GBOL) and associated stack (GBOL stack). GBOL is provenance centered and provides a consistent representation of genome derived automated predictions linked to the dataset-wise and element-wise provenance of predicted elements. GBOL is modular in design, extendible and is integrated with existing ontologies. Interoperability of linked data can only be guaranteed through the application of tools that provide the means for a continuous validation of generated linked data. The GBOL stack enforces consistency within and between the OWL and ShEx definitions. Genome wide large scale functional analyses can then easily be achieved using SPARQL queries. Additionally, modules have been developed to serialize the linked data (RDF) and to generate a plain text format files with integrated support for data provenance that that mimic the indentation structure of GenBank and EMBL formats.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12449}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Functional Genomics","Life Science"],"domains":["Annotation","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":132,"pubmed_id":null,"title":"Interoperable genome annotation with GBOL, an extendable infrastructure for functional data mining","year":2017,"url":"http://doi.org/10.1101/184747","authors":"Jesse C.J. van Dam, Jasper J. Koehorst , Jon Olav Vik, Peter J. Schaap and Maria Suarez-Diez","journal":"BioRxiv","doi":"10.1101/184747","created_at":"2021-09-30T08:22:34.457Z","updated_at":"2021-09-30T11:28:39.697Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1035,"relation":"undefined"}],"grants":[{"id":4991,"fairsharing_record_id":57,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:27:10.376Z","updated_at":"2021-09-30T09:29:25.720Z","grant_id":245,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"635536","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4989,"fairsharing_record_id":57,"organisation_id":3215,"relation":"maintains","created_at":"2021-09-30T09:27:10.246Z","updated_at":"2021-09-30T09:27:10.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":3215,"name":"Wageningen University and Research, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":7958,"fairsharing_record_id":57,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:04.430Z","updated_at":"2021-09-30T09:30:04.477Z","grant_id":538,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"305340","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8333,"fairsharing_record_id":57,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:32:08.917Z","updated_at":"2021-09-30T09:32:09.018Z","grant_id":1490,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"634940","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9047,"fairsharing_record_id":57,"organisation_id":2192,"relation":"maintains","created_at":"2022-03-28T13:48:39.421Z","updated_at":"2022-03-28T13:48:39.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":2192,"name":"Norwegian University of Life Sciences (NMBU)","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":4990,"fairsharing_record_id":57,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:27:10.269Z","updated_at":"2021-09-30T09:30:01.842Z","grant_id":521,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"248792","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"58","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:09:05.893Z","metadata":{"doi":"10.25504/FAIRsharing.gq1xtx","name":"Information Artifact Ontology","status":"ready","contacts":[{"contact_name":"Alan Ruttenberg","contact_email":"alanruttenberg@gmail.com","contact_orcid":"0000-0002-1604-3078"}],"homepage":"https://github.com/information-artifact-ontology/IAO/","identifier":58,"description":"The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch.","abbreviation":"IAO","support_links":[{"url":"http://groups.google.com/group/information-ontology","type":"Mailing list"},{"url":"https://github.com/information-artifact-ontology/IAO/issues","type":"Github"},{"url":"https://github.com/information-artifact-ontology/IAO/wiki/OntologyMetadata","name":"Ontology Metadata","type":"Github"},{"url":"https://github.com/information-artifact-ontology/IAO/wiki/Meeting_notes","name":"Meeting notes","type":"Github"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/IAO","name":"IAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/iao.html","name":"iao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000105","bsg-s000105"],"name":"FAIRsharing record for: Information Artifact Ontology","abbreviation":"IAO","url":"https://fairsharing.org/10.25504/FAIRsharing.gq1xtx","doi":"10.25504/FAIRsharing.gq1xtx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11977}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Knowledge and Information Systems","Data Management","Subject Agnostic","Biomedical Science"],"domains":["Drug report","Experimental measurement","Data identity and mapping","Reagent","Assay","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":1189,"pubmed_id":22874154,"title":"An information artifact ontology perspective on data collections and associated representational artifacts.","year":2012,"url":"https://www.ncbi.nlm.nih.gov/pubmed/22874154","authors":"Ceusters W","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-61499-101-4-68","created_at":"2021-09-30T08:24:32.217Z","updated_at":"2021-09-30T08:24:32.217Z"},{"id":1577,"pubmed_id":null,"title":"Aboutness: Towards foundations for the information artifact ontology","year":2015,"url":"https://scholar.google.com/scholar?q=Smith+B+Ceusters+W+Aboutness:+Towards+Foundations+for+the+Information+Artifact+Ontology+International+Conference+on+Biomedical+Ontology+2015+July+27-30+Lisbon,+Portugal2015+47+51+","authors":"W Ceusters, B Smith","journal":"PhilPapers","doi":null,"created_at":"2021-09-30T08:25:16.777Z","updated_at":"2021-09-30T08:25:16.777Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1690,"relation":"undefined"}],"grants":[{"id":4994,"fairsharing_record_id":58,"organisation_id":2013,"relation":"funds","created_at":"2021-09-30T09:27:10.492Z","updated_at":"2021-09-30T09:29:32.095Z","grant_id":288,"is_lead":false,"saved_state":{"id":2013,"name":"National Institute of Dental and Craniofacial Research (NIDCR), Rockville, MD, USA","grant":"1R01DE021917-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"59","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.426Z","metadata":{"doi":"10.25504/FAIRsharing.sc3be1","name":"Separation Markup Language","status":"ready","contacts":[{"contact_name":"Chris Taylor","contact_email":"chris.taylor@ebi.ac.uk"}],"homepage":"http://www.psidev.info/sample-processing","identifier":59,"description":"The HUPO-PSI Protein Separation work group is a collaboration of researchers from academia, industrial partners and software vendors. The group aims to develop reporting requirements that supplement the MIAPE parent document, describing the minimum information that should be reported about gel-based, and non-gel based separation technologies employed for proteins and peptides in proteomics. The group will also develop data formats for capturing MIAPE-compliant data about these technologies and supporting controlled vocabularies.","abbreviation":"PSI SpML","support_links":[{"url":"psidev-gps-dev@lists.sourceforge.net","type":"Mailing list"},{"url":"http://www.psidev.info/spml-milestone-1-docs","type":"Help documentation"}],"year_creation":2005},"legacy_ids":["bsg-000146","bsg-s000146"],"name":"FAIRsharing record for: Separation Markup Language","abbreviation":"PSI SpML","url":"https://fairsharing.org/10.25504/FAIRsharing.sc3be1","doi":"10.25504/FAIRsharing.sc3be1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HUPO-PSI Protein Separation work group is a collaboration of researchers from academia, industrial partners and software vendors. The group aims to develop reporting requirements that supplement the MIAPE parent document, describing the minimum information that should be reported about gel-based, and non-gel based separation technologies employed for proteins and peptides in proteomics. The group will also develop data formats for capturing MIAPE-compliant data about these technologies and supporting controlled vocabularies.","linked_records":[],"linking_records":[{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11429}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Material component separation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":4995,"fairsharing_record_id":59,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:10.530Z","updated_at":"2021-09-30T09:27:10.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"62","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-11-30T10:27:27.369Z","metadata":{"doi":"10.25504/FAIRsharing.zwtww5","name":"The Vaccine Ontology","status":"ready","contacts":[{"contact_name":"Yongqunh He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/vaccineontology/VO","citations":[],"identifier":62,"description":"The Vaccine Ontology (VO) was created as part of an international community-based effort to represent vaccine knowledge and to support automated reasoning. VO describes the detailed classification and definitions of vaccine components and vaccine administration processes. To ensure consistent representation of vaccine knowledge and to support automated reasoning, a community-based effort to develop the Vaccine Ontology (VO) has been initiated. This international collaborative VO development effort has been joined by many institutes and disciplines around the world. The Vaccine Ontology is also being used in a variety of applications by many user groups in academia and industry.","abbreviation":"VO","support_links":[{"url":"http://www.violinet.org/vaccineontology/contact_us.php","name":"VO Contact Form","type":"Contact form"},{"url":"http://www.violinet.org/vaccineontology/faqs.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/vaccineontology/VO/issues","name":"VO GitHub Issue Tracker","type":"Github"},{"url":"http://www.ontobee.org/ontostat/VO","name":"Ontobee Statistics","type":"Help documentation"},{"url":"https://violinet.org/vaccineontology/introduction.php","name":"About The Vaccine Ontology (VO)","type":"Help documentation"},{"url":"https://github.com/vaccineontology","name":" VO Vaccine Ontology on GitHub","type":"Github"},{"url":"https://violinet.org/vaccineontology/news.php","name":"VO News","type":"Blog/News"},{"url":"http://www.violinet.org/publications.php#vopapers","name":"Related Publications","type":"Help documentation"},{"url":"https://violinet.org/vaccineontology/index.php","name":"Introduction Index","type":"Help documentation"},{"url":"https://github.com/vaccineontology/VIO","name":"VIO: Vaccine Investigation Ontology (VO-extended ontology for metadata types)","type":"Other"}],"year_creation":2008,"associated_tools":[],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/VO","name":"VO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/vo.html","name":"vo","portal":"OBO Foundry"},{"url":"https://ontobee.org/ontology/VO","name":"Vaccine Ontology","portal":"Other"},{"url":"https://bioregistry.io/registry/vo","name":"Prefix: VO","portal":"Other"}]},"legacy_ids":["bsg-000101","bsg-s000101"],"name":"FAIRsharing record for: The Vaccine Ontology","abbreviation":"VO","url":"https://fairsharing.org/10.25504/FAIRsharing.zwtww5","doi":"10.25504/FAIRsharing.zwtww5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vaccine Ontology (VO) was created as part of an international community-based effort to represent vaccine knowledge and to support automated reasoning. VO describes the detailed classification and definitions of vaccine components and vaccine administration processes. To ensure consistent representation of vaccine knowledge and to support automated reasoning, a community-based effort to develop the Vaccine Ontology (VO) has been initiated. This international collaborative VO development effort has been joined by many institutes and disciplines around the world. The Vaccine Ontology is also being used in a variety of applications by many user groups in academia and industry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Pathobiochemistry","Biomedical Science"],"domains":["Biological process","Pathogen","Vaccine","Vaccination"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1038,"pubmed_id":20875156,"title":"Bioinformatics analysis of Brucella vaccines and vaccine targets using VIOLIN.","year":2010,"url":"http://doi.org/10.1186/1745-7580-6-S1-S5","authors":"He Y,Xiang Z","journal":"Immunome Res","doi":"10.1186/1745-7580-6-S1-S5","created_at":"2021-09-30T08:24:14.939Z","updated_at":"2021-09-30T08:24:14.939Z"},{"id":1673,"pubmed_id":23256535,"title":"Ontology representation and analysis of vaccine formulation and administration and their effects on vaccine immune responses.","year":2012,"url":"http://doi.org/10.1186/2041-1480-3-17","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-3-17","created_at":"2021-09-30T08:25:27.436Z","updated_at":"2021-09-30T08:25:27.436Z"},{"id":3716,"pubmed_id":33238868,"title":"Ontology-based Precision Vaccinology for Deep Mechanism Understanding and Precision Vaccine Development","year":2020,"url":"http://dx.doi.org/10.2174/1381612826666201125112131","authors":"Xie, Jiangan; Zi, Wenrui; Li, Zhangyong; He, Yongqun; ","journal":"CPD","doi":"10.2174/1381612826666201125112131","created_at":"2022-11-29T16:07:43.346Z","updated_at":"2022-11-29T16:07:43.346Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":533,"relation":"applies_to_content"}],"grants":[{"id":4999,"fairsharing_record_id":62,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:10.683Z","updated_at":"2021-09-30T09:27:10.683Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5000,"fairsharing_record_id":62,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:10.722Z","updated_at":"2021-09-30T09:30:30.635Z","grant_id":741,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01AI081062","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0d3898a5618b34c0bc948bb0d101e906f212f05f/vo_banner.png?disposition=inline","exhaustive_licences":true}},{"id":"63","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:38.000Z","updated_at":"2022-07-20T08:54:53.674Z","metadata":{"doi":"10.25504/FAIRsharing.j01xzz","name":"NeuroMorpho.Org species ontology","status":"deprecated","contacts":[{"contact_name":"Sridevi Polavaram","contact_email":"spolavar@gmu.edu"}],"homepage":"https://bioportal.bioontology.org/ontologies/NMOSP","citations":[],"identifier":63,"description":"The species ontology of NeuroMorpho.Org was updated (OntoSearch v1.3) to map the new species and strains added in NeuroMorpho.Org v6.3 release.","abbreviation":"NMOSP","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NMOSP","name":"NMOSP","portal":"BioPortal"}],"deprecation_date":"2022-07-19","deprecation_reason":"This older version (with only the species dimension) underlying OntoSearch v1.0 has been deprecated."},"legacy_ids":["bsg-001035","bsg-s001035"],"name":"FAIRsharing record for: NeuroMorpho.Org species ontology","abbreviation":"NMOSP","url":"https://fairsharing.org/10.25504/FAIRsharing.j01xzz","doi":"10.25504/FAIRsharing.j01xzz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The species ontology of NeuroMorpho.Org was updated (OntoSearch v1.3) to map the new species and strains added in NeuroMorpho.Org v6.3 release.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Computational Neuroscience","Neuroscience"],"domains":[],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"64","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.502Z","metadata":{"doi":"10.25504/FAIRsharing.64f3va","name":"Phenotype Fragment Ontology","status":"uncertain","contacts":[{"contact_name":"Tudor Groza","contact_email":"tudor.groza@uq.edu.au"}],"homepage":"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572876/","identifier":64,"description":"The Phenotype Fragment Ontology, together with a processing pipeline, enable the automatic decomposition and conceptualization of phenotype descriptions for the human skeletal phenome.","abbreviation":"PFO","year_creation":2012},"legacy_ids":["bsg-002812","bsg-s002812"],"name":"FAIRsharing record for: Phenotype Fragment Ontology","abbreviation":"PFO","url":"https://fairsharing.org/10.25504/FAIRsharing.64f3va","doi":"10.25504/FAIRsharing.64f3va","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Phenotype Fragment Ontology, together with a processing pipeline, enable the automatic decomposition and conceptualization of phenotype descriptions for the human skeletal phenome.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":969,"pubmed_id":23440304,"title":"Decomposing phenotype descriptions for the human skeletal phenome.","year":2013,"url":"http://doi.org/10.4137/BII.S10729","authors":"Groza T,Hunter J,Zankl A","journal":"Biomed Inform Insights","doi":"10.4137/BII.S10729","created_at":"2021-09-30T08:24:07.204Z","updated_at":"2021-09-30T08:24:07.204Z"}],"licence_links":[],"grants":[{"id":5002,"fairsharing_record_id":64,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:27:10.801Z","updated_at":"2021-09-30T09:27:10.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5003,"fairsharing_record_id":64,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:27:10.839Z","updated_at":"2021-09-30T09:29:49.449Z","grant_id":421,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"(DECRA)-DE120100508","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8185,"fairsharing_record_id":64,"organisation_id":149,"relation":"funds","created_at":"2021-09-30T09:31:23.572Z","updated_at":"2021-09-30T09:31:23.628Z","grant_id":1149,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","grant":"SKELETOME-LP100100156","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5001,"fairsharing_record_id":64,"organisation_id":2849,"relation":"maintains","created_at":"2021-09-30T09:27:10.759Z","updated_at":"2021-09-30T09:27:10.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":2849,"name":"The University of Queensland, Institute for Molecular Bioscience, Division of Chemistry and Structural Biology, Brisbane, 4072 QLD, Australia.","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"65","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:43:26.156Z","metadata":{"doi":"10.25504/FAIRsharing.kqt2h2","name":"RNA Ontology","status":"ready","contacts":[{"contact_name":"Colin Batchelor","contact_email":"BatchelorC@rsc.org","contact_orcid":"0000-0001-5985-7429"}],"homepage":"https://github.com/bgsu-rna/rnao","citations":[{"doi":"10.3233/AO-2011-0082","publication_id":1025}],"identifier":65,"description":"RNAO is a controlled vocabulary pertaining to RNA function and based on RNA sequences, secondary and three-dimensional structures. The central aim of the RNA Ontology Consortium (ROC) is to develop an ontology to capture all aspects of RNA - from primary sequence to alignments, secondary and tertiary structure, and from base pairing and base stacking interactions to sophisticated motifs.","abbreviation":"RNAO","year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/RNAO","name":"RNAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/rnao.html","name":"rnao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000122","bsg-s000122"],"name":"FAIRsharing record for: RNA Ontology","abbreviation":"RNAO","url":"https://fairsharing.org/10.25504/FAIRsharing.kqt2h2","doi":"10.25504/FAIRsharing.kqt2h2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAO is a controlled vocabulary pertaining to RNA function and based on RNA sequences, secondary and three-dimensional structures. The central aim of the RNA Ontology Consortium (ROC) is to develop an ontology to capture all aspects of RNA - from primary sequence to alignments, secondary and tertiary structure, and from base pairing and base stacking interactions to sophisticated motifs.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11145},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11947}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biochemistry","Life Science"],"domains":["RNA secondary structure","Molecular structure","Ribonucleic acid","Sequence motif"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":934,"pubmed_id":16484377,"title":"The RNA Ontology Consortium: an open invitation to the RNA community.","year":2006,"url":"http://doi.org/10.1261/rna.2343206","authors":"Leontis NB,Altman RB,Berman HM,Brenner SE,Brown JW,Engelke DR,Harvey SC,Holbrook SR,Jossinet F,Lewis SE,Major F,Mathews DH,Richardson JS,Williamson JR,Westhof E","journal":"RNA","doi":"10.1261/rna.2343206","created_at":"2021-09-30T08:24:03.347Z","updated_at":"2021-09-30T08:24:03.347Z"},{"id":1025,"pubmed_id":null,"title":"The RNA Ontology (RNAO): An Ontology for Integrating RNA Sequence and Structure Data","year":2011,"url":"http://doi.org/10.3233/AO-2011-0082","authors":"Hoehndorf, Robert and Batchelor, Colin and Bittner, Thomas and Dumontier, Michel and Eilbeck, Karen and Knight, Rob and Mungall, Chris J. and Richardson, Jane S. and Stombaugh, Jesse and Westhof, Eric and Zirbel, Craig L. and Leontis, Neocles B.","journal":"Applied Ontology","doi":"10.3233/AO-2011-0082","created_at":"2021-09-30T08:24:13.488Z","updated_at":"2021-09-30T08:24:13.488Z"}],"licence_links":[],"grants":[{"id":5005,"fairsharing_record_id":65,"organisation_id":2467,"relation":"maintains","created_at":"2021-09-30T09:27:10.923Z","updated_at":"2021-09-30T09:27:10.923Z","grant_id":null,"is_lead":false,"saved_state":{"id":2467,"name":"Royal Society of Chemistry, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5004,"fairsharing_record_id":65,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:10.885Z","updated_at":"2021-09-30T09:31:27.618Z","grant_id":1178,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0443508","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"66","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:26.672Z","metadata":{"doi":"10.25504/FAIRsharing.rn9wzc","name":"Gel electrophoresis Markup Language","status":"ready","contacts":[{"contact_name":"Andy Jones","contact_email":"Andrew.Jones@liverpool.ac.uk"}],"homepage":"http://www.psidev.info/gelml","identifier":66,"description":"GelML is a data exchange format for describing the results of gel electrophoresis experiments. GelML is developed as a HUPO-PSI working group.","abbreviation":"PSI GelML","support_links":[{"url":"http://code.google.com/p/gelml/","name":"Google Code GelML Project","type":"Help documentation"}],"year_creation":2010},"legacy_ids":["bsg-000087","bsg-s000087"],"name":"FAIRsharing record for: Gel electrophoresis Markup Language","abbreviation":"PSI GelML","url":"https://fairsharing.org/10.25504/FAIRsharing.rn9wzc","doi":"10.25504/FAIRsharing.rn9wzc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GelML is a data exchange format for describing the results of gel electrophoresis experiments. GelML is developed as a HUPO-PSI working group.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11177},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11446},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12069}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Proteomics","Life Science"],"domains":["Report","Assay","Extract","Material component separation","Electrophoresis","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":1312,"pubmed_id":20677327,"title":"The gel electrophoresis markup language (GelML) from the Proteomics Standards Initiative.","year":2010,"url":"http://doi.org/10.1002/pmic.201000120","authors":"Gibson F,Hoogland C,Martinez-Bartolome S,Medina-Aunon JA,Albar JP,Babnigg G,Wipat A,Hermjakob H,Almeida JS,Stanislaus R,Paton NW,Jones AR","journal":"Proteomics","doi":"10.1002/pmic.201000120","created_at":"2021-09-30T08:24:46.484Z","updated_at":"2021-09-30T08:24:46.484Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2354,"relation":"undefined"},{"licence_name":"Mozilla Public License","licence_id":525,"licence_url":"https://www.mozilla.org/en-US/MPL/","link_id":2353,"relation":"undefined"}],"grants":[{"id":5007,"fairsharing_record_id":66,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:11.015Z","updated_at":"2021-09-30T09:27:11.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5006,"fairsharing_record_id":66,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:10.977Z","updated_at":"2021-09-30T09:31:33.926Z","grant_id":1227,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/G010781/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5008,"fairsharing_record_id":66,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:11.052Z","updated_at":"2021-09-30T09:32:21.237Z","grant_id":1581,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1UL1RR024148","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"46","type":"fairsharing_records","attributes":{"created_at":"2020-06-11T16:15:13.000Z","updated_at":"2023-03-22T15:44:06.242Z","metadata":{"doi":"10.25504/FAIRsharing.OsiqlF","name":"IUPAC Compendium of Chemical Terminology","status":"ready","contacts":[{"contact_name":"Stuart Chalk","contact_email":"schalk@unf.edu","contact_orcid":"0000-0002-0703-7776"},{"contact_name":"General Contact","contact_email":"goldbook@iupac.org","contact_orcid":null}],"homepage":"https://goldbook.iupac.org/","citations":[],"identifier":46,"description":"The IUPAC Gold Book is a database of ~7000 chemical concepts derived from IUPAC's Recommendations published in Pure and Applied Chemistry.","abbreviation":"IUPAC Gold Book","support_links":[{"url":"https://goldbook.iupac.org/pages/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://goldbook.iupac.org/pages/about","name":"About","type":"Help documentation"}],"year_creation":1996},"legacy_ids":["bsg-001496","bsg-s001496"],"name":"FAIRsharing record for: IUPAC Compendium of Chemical Terminology","abbreviation":"IUPAC Gold Book","url":"https://fairsharing.org/10.25504/FAIRsharing.OsiqlF","doi":"10.25504/FAIRsharing.OsiqlF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IUPAC Gold Book is a database of ~7000 chemical concepts derived from IUPAC's Recommendations published in Pure and Applied Chemistry.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11742},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17991}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Synthetic Chemistry","Organic Chemistry","Biochemistry","Polymer Chemistry","Synthesis Chemistry","Chemistry","Molecular Physical Chemistry","Theoretical Chemistry","Solid-State Chemistry","Physical Chemistry","Clinical Chemistry","Analytical Chemistry","Food Chemistry","Computational Chemistry","Medicinal Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1161,"relation":"undefined"}],"grants":[{"id":4971,"fairsharing_record_id":46,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:27:09.630Z","updated_at":"2021-09-30T09:27:09.630Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"47","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T15:08:41.000Z","updated_at":"2023-03-30T09:04:22.702Z","metadata":{"doi":"10.25504/FAIRsharing.9091d9","name":"GEneral Multilingual Environmental Thesaurus","status":"ready","contacts":[{"contact_name":"Eionet Helpdesk","contact_email":"helpdesk@eionet.europa.eu"}],"homepage":"https://www.eionet.europa.eu/gemet/en/themes/","citations":[],"identifier":47,"description":"The GEneral Multilingual Environmental Thesaurus (GEMET) was created as a “general” environmental thesaurus, aimed to define a common general language with a core of general terminology for the environment. It is the reference vocabulary of the European Environment Agency (EEA) and its Network (Eionet).","abbreviation":"GEMET","support_links":[{"url":"https://www.eionet.europa.eu/gemet/en/about/","name":"About","type":"Help documentation"},{"url":"https://www.eionet.europa.eu/gemet/en/definition-sources/","name":"Definition Sources","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-001444","bsg-s001444"],"name":"FAIRsharing record for: GEneral Multilingual Environmental Thesaurus","abbreviation":"GEMET","url":"https://fairsharing.org/10.25504/FAIRsharing.9091d9","doi":"10.25504/FAIRsharing.9091d9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GEneral Multilingual Environmental Thesaurus (GEMET) was created as a “general” environmental thesaurus, aimed to define a common general language with a core of general terminology for the environment. It is the reference vocabulary of the European Environment Agency (EEA) and its Network (Eionet).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Ecology","Biodiversity"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 2.5 Denmark (CC BY 2.5 DK)","licence_id":160,"licence_url":"https://creativecommons.org/licenses/by/2.5/dk/deed.en","link_id":1750,"relation":"undefined"}],"grants":[{"id":4972,"fairsharing_record_id":47,"organisation_id":927,"relation":"funds","created_at":"2021-09-30T09:27:09.663Z","updated_at":"2021-09-30T09:27:09.663Z","grant_id":null,"is_lead":false,"saved_state":{"id":927,"name":"European Environment Agency (EEA)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":4973,"fairsharing_record_id":47,"organisation_id":928,"relation":"maintains","created_at":"2021-09-30T09:27:09.696Z","updated_at":"2021-09-30T09:27:09.696Z","grant_id":null,"is_lead":true,"saved_state":{"id":928,"name":"European Environment Information and Observation Network (Eionet)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"48","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:03.226Z","metadata":{"doi":"10.25504/FAIRsharing.efv7gw","name":"HOMology","status":"ready","contacts":[{"contact_name":"Julien Roux","contact_email":"julien.roux@unil.ch","contact_orcid":"0000-0002-4192-5099"}],"homepage":"http://bioportal.bioontology.org/ontologies/HOM/?p=summary","identifier":48,"description":"This ontology represents concepts related to homology, as well as other concepts used to describe similarity and non-homology.","abbreviation":"HOM","year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/HOM","name":"HOM","portal":"BioPortal"}]},"legacy_ids":["bsg-000102","bsg-s000102"],"name":"FAIRsharing record for: HOMology","abbreviation":"HOM","url":"https://fairsharing.org/10.25504/FAIRsharing.efv7gw","doi":"10.25504/FAIRsharing.efv7gw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This ontology represents concepts related to homology, as well as other concepts used to describe similarity and non-homology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Molecular entity","Homologous","Life cycle stage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":12,"pubmed_id":20116127,"title":"An ontology to clarify homology-related concepts.","year":2010,"url":"http://doi.org/10.1016/j.tig.2009.12.012","authors":"Roux J, Robinson-Rechavi M.","journal":"Trends Genet.","doi":"10.1016/j.tig.2009.12.012","created_at":"2021-09-30T08:22:21.797Z","updated_at":"2021-09-30T08:22:21.797Z"}],"licence_links":[],"grants":[{"id":4974,"fairsharing_record_id":48,"organisation_id":1257,"relation":"maintains","created_at":"2021-09-30T09:27:09.729Z","updated_at":"2021-09-30T09:27:09.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":1257,"name":"HOM administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"49","type":"fairsharing_records","attributes":{"created_at":"2017-11-10T13:28:29.000Z","updated_at":"2021-11-24T13:14:13.487Z","metadata":{"doi":"10.25504/FAIRsharing.zbmg97","name":"Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research","status":"ready","contacts":[{"contact_name":"Carl Lachat","contact_email":"carl.lachat@ugent.be","contact_orcid":"0000-0002-1389-8855"}],"homepage":"http://advances.nutrition.org/cgi/pmidlookup?view=long\u0026pmid=28916566","identifier":49,"description":"Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. To ensure interoperability of nutrition data systems, ENPADASI is developing an Ontology for Nutritional Studies (ONS). All descriptors of these study data characteristics will be made part of ONS and implemented as such in the research infrastructure. The descriptors for data quality will be mapped to existing or newly developed ontology terms. Integration of study quality characteristics with the ONS will enable the consideration of study quality during the querying of the nutrition research infrastructure and interoperability with other data systems.","abbreviation":null,"year_creation":2017},"legacy_ids":["bsg-001090","bsg-s001090"],"name":"FAIRsharing record for: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zbmg97","doi":"10.25504/FAIRsharing.zbmg97","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. To ensure interoperability of nutrition data systems, ENPADASI is developing an Ontology for Nutritional Studies (ONS). All descriptors of these study data characteristics will be made part of ONS and implemented as such in the research infrastructure. The descriptors for data quality will be mapped to existing or newly developed ontology terms. Integration of study quality characteristics with the ONS will enable the consideration of study quality during the querying of the nutrition research infrastructure and interoperability with other data systems.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12535}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Nutritional Science","Biomedical Science","Epidemiology"],"domains":["Diet"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","Denmark","Germany","Ireland","Italy","Netherlands","Poland","Spain"],"publications":[{"id":1949,"pubmed_id":28916566,"title":"Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research","year":2017,"url":"http://doi.org/10.3945/an.117.015651","authors":"Chen Yang, Mariona Pinart, Patrick Kolsteren, John Van Camp, Nathalie De Cock, Katharina Nimptsch, Tobias Pischon, Eamon Laird, Giuditta Perozzi, Raffaella Canali, Axelle Hoge,Marta Stelmach-Mardas, Lars Ove Dragsted, Stéphanie Maria Palombi, Irina Dobre, Jildau Bouwman, Peter Clarys, Fabio Minervini, Maria De Angelis, Marco Gobbetti, Jean Tafforeau, Oscar Coltell, Dolores Corella, Hendrik De Ruyck, Janette Walton, Laura Kehoe, Christophe Matthys, Bernard De Baets, Guy De Tré, Antoon Bronselaer, Angela Rivellese, Rosalba Giacco, Rosario Lombardo, Sofian De Clercq, Niels Hulstaert, and Carl Lachat","journal":"Advances in nutrition","doi":"https://doi.org/10.3945/an.117.015651.","created_at":"2021-09-30T08:25:59.340Z","updated_at":"2021-09-30T08:25:59.340Z"}],"licence_links":[],"grants":[{"id":4975,"fairsharing_record_id":49,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:27:09.767Z","updated_at":"2021-09-30T09:27:09.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"76","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-03T09:53:58.361Z","metadata":{"doi":"10.25504/FAIRsharing.8vv5fc","name":"Minimum Information About a Proteomics Experiment","status":"ready","contacts":[{"contact_name":"Juan Antonio Vizcaino","contact_email":"webmaster@psidev.info","contact_orcid":"0000-0002-3905-4335"}],"homepage":"http://www.psidev.info/miape","citations":[{"doi":"10.1038/nbt1329","pubmed_id":17687369,"publication_id":769}],"identifier":76,"description":"MIAPE attempts to define the minimum set of information about whole proteomics experiments that would be required by a public repository.","abbreviation":"MIAPE","support_links":[{"url":"Psidev-pi-dev@lists.sourceforge.net","name":"PSI mailing list","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIAPE.shtml","name":"Original MIBBI entry","type":"Help documentation"},{"url":"http://www.psidev.info/miape-docs","name":"MIAPE Documents","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000184","bsg-s000184"],"name":"FAIRsharing record for: Minimum Information About a Proteomics Experiment","abbreviation":"MIAPE","url":"https://fairsharing.org/10.25504/FAIRsharing.8vv5fc","doi":"10.25504/FAIRsharing.8vv5fc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAPE attempts to define the minimum set of information about whole proteomics experiments that would be required by a public repository.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11163},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11437},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11594},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12002}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Proteomics","Life Science"],"domains":["Experimental measurement","Pathogen","Assay","Protocol","Study design","Protein","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Australia","Austria","Belgium","France","Germany","Ireland","Japan","Netherlands","Switzerland","United Kingdom","United States","European Union"],"publications":[{"id":769,"pubmed_id":17687369,"title":"The minimum information about a proteomics experiment (MIAPE).","year":2007,"url":"http://doi.org/10.1038/nbt1329","authors":"Taylor CF,Paton NW,Lilley KS et al.","journal":"Nat Biotechnol","doi":"10.1038/nbt1329","created_at":"2021-09-30T08:23:44.753Z","updated_at":"2021-09-30T08:23:44.753Z"}],"licence_links":[],"grants":[{"id":5028,"fairsharing_record_id":76,"organisation_id":2380,"relation":"maintains","created_at":"2021-09-30T09:27:11.832Z","updated_at":"2021-09-30T09:27:11.832Z","grant_id":null,"is_lead":true,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5029,"fairsharing_record_id":76,"organisation_id":2380,"relation":"funds","created_at":"2021-09-30T09:27:11.865Z","updated_at":"2021-09-30T09:27:11.865Z","grant_id":null,"is_lead":false,"saved_state":{"id":2380,"name":"Proteomics Standards Initiative (PSI) - Human Proteomics Organisation (HUPO)","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ0lEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f99c1ac64eec32813bad87f6fee29d62456d1020/PSI_logo_2.png?disposition=inline","exhaustive_licences":false}},{"id":"77","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:37.000Z","updated_at":"2022-07-20T11:48:08.960Z","metadata":{"doi":"10.25504/FAIRsharing.4877h0","name":"Orthology Ontology","status":"ready","contacts":[{"contact_name":"Hirokazu Chiba","contact_email":"chiba@nibb.ac.jp"}],"homepage":"https://github.com/qfo/OrthologyOntology","citations":[],"identifier":77,"description":"ORTH ontology is designed to describe sequence homology data such as gene region, gene and protein-centric orthology, paralogy, and xenology information. Depending on the database, the homology information is structured in different ways. ORTH ontology accommodates these disparate data structures in a single terminology.","abbreviation":"ORTH","support_links":[{"url":"jfernand@um.es","name":"Jesualdo Toms Fernndez-Breis","type":"Support email"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ORTH","name":"ORTH","portal":"BioPortal"}]},"legacy_ids":["bsg-001010","bsg-s001010"],"name":"FAIRsharing record for: Orthology Ontology","abbreviation":"ORTH","url":"https://fairsharing.org/10.25504/FAIRsharing.4877h0","doi":"10.25504/FAIRsharing.4877h0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ORTH ontology is designed to describe sequence homology data such as gene region, gene and protein-centric orthology, paralogy, and xenology information. Depending on the database, the homology information is structured in different ways. ORTH ontology accommodates these disparate data structures in a single terminology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Comparative Genomics"],"domains":["Protein","Sequence","Gene","Homologous","Orthologous","Paralogous"],"taxonomies":["All"],"user_defined_tags":[],"countries":[],"publications":[{"id":3157,"pubmed_id":null,"title":"The Orthology Ontology: development and applications","year":2016,"url":"http://dx.doi.org/10.1186/s13326-016-0077-x","authors":"Fernández-Breis, Jesualdo Tomás; Chiba, Hirokazu; Legaz-García, María del Carmen; Uchiyama, Ikuo; ","journal":"J Biomed Semant","doi":"10.1186/s13326-016-0077-x","created_at":"2021-12-13T20:45:09.857Z","updated_at":"2021-12-13T20:45:09.857Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2535,"relation":"applies_to_content"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"60","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-11T12:16:34.846Z","metadata":{"doi":"10.25504/FAIRsharing.s3swh2","name":"Minimum Information about an fMRI Study","status":"ready","contacts":[{"contact_name":"Thomas Nichols","contact_email":"t.e.nichols@warwick.ac.uk","contact_orcid":"0000-0002-4516-5103"}],"homepage":"http://www.humanbrainmapping.org/COBIDASreport","citations":[{"doi":"10.1038/nn.4500","pubmed_id":28230846,"publication_id":950}],"identifier":60,"description":"The purpose of the Minimum Information about an fMRI Study guidelines is to elaborate the principles of open and reproducible research for neuroimaging using Magnetic Resonance Imaging (MRI), and then distil these principles to specific research practices. They were created to serve as a benchmark and to raise the standards of practice and reporting in neuroimaging using MRI. These reporting guidelines were developed by the Committee on Best Practices in Data Analysis and Sharing (COBIDAS) of the Organization for Human Brain Mapping.","abbreviation":"MIfMRI","support_links":[{"url":"https://www.humanbrainmapping.org/i4a/pages/index.cfm?pageid=3728","name":"COBIDAS Committee Information Page","type":"Help documentation"}],"year_creation":2015},"legacy_ids":["bsg-000086","bsg-s000086"],"name":"FAIRsharing record for: Minimum Information about an fMRI Study","abbreviation":"MIfMRI","url":"https://fairsharing.org/10.25504/FAIRsharing.s3swh2","doi":"10.25504/FAIRsharing.s3swh2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of the Minimum Information about an fMRI Study guidelines is to elaborate the principles of open and reproducible research for neuroimaging using Magnetic Resonance Imaging (MRI), and then distil these principles to specific research practices. They were created to serve as a benchmark and to raise the standards of practice and reporting in neuroimaging using MRI. These reporting guidelines were developed by the Committee on Best Practices in Data Analysis and Sharing (COBIDAS) of the Organization for Human Brain Mapping.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11936}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biomedical Science","Neuroscience"],"domains":["Annotation","Bioimaging","Medical imaging","Neuron","Magnetic resonance imaging","Biological sample","Assay","Material storage service","Data transformation","Brain","Brain imaging","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":950,"pubmed_id":28230846,"title":"Best practices in data analysis and sharing in neuroimaging using MRI.","year":2017,"url":"http://doi.org/10.1038/nn.4500","authors":"Nichols TE,Das S,Eickhoff SB,Evans AC,Glatard T,Hanke M,Kriegeskorte N,Milham MP,Poldrack RA,Poline JB,Proal E,Thirion B,Van Essen DC,White T,Yeo BT","journal":"Nat Neurosci","doi":"10.1038/nn.4500","created_at":"2021-09-30T08:24:05.130Z","updated_at":"2021-09-30T08:24:05.130Z"},{"id":1021,"pubmed_id":18191585,"title":"Guidelines for reporting an fMRI study.","year":2008,"url":"http://doi.org/S1053-8119(07)01102-0","authors":"Poldrack RA,Fletcher PC,Henson RN,Worsley KJ,Brett M,Nichols TE","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2007.11.048","created_at":"2021-09-30T08:24:13.073Z","updated_at":"2021-09-30T08:24:13.073Z"},{"id":3472,"pubmed_id":null,"title":"Best Practices in Data Analysis and Sharing in Neuroimaging using MRI","year":2016,"url":"http://dx.doi.org/10.1101/054262","authors":"Nichols, Thomas E.; Das, Samir; Eickhoff, Simon B.; Evans, Alan C.; Glatard, Tristan; Hanke, Michael; Kriegeskorte, Nikolaus; Milham, Michael P.; Poldrack, Russell A.; Poline, Jean-Baptiste; Proal, Erika; Thirion, Bertrand; Van Essen, David C.; White, Tonya; Yeo, B. T. Thomas; ","journal":"bioRxiv","doi":"10.1101/054262","created_at":"2022-07-11T12:13:48.945Z","updated_at":"2022-07-11T12:13:48.945Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2727,"relation":"applies_to_content"}],"grants":[{"id":4996,"fairsharing_record_id":60,"organisation_id":2274,"relation":"maintains","created_at":"2021-09-30T09:27:10.562Z","updated_at":"2022-07-11T12:14:08.776Z","grant_id":null,"is_lead":true,"saved_state":{"id":2274,"name":"Organization for Human Brain Mapping","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"61","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:08:48.931Z","metadata":{"doi":"10.25504/FAIRsharing.agvc7y","name":"C. elegans phenotype","status":"ready","contacts":[{"contact_name":"Gary Schindelman","contact_email":"garys@caltech.edu","contact_orcid":"0000-0001-7883-4388"}],"homepage":"https://wormbase.org/tools/ontology_browser#o_browser","identifier":61,"description":"A structured controlled vocabulary of Caenorhabditis elegans phenotypes .","abbreviation":"WB-PHENOTYPE","support_links":[{"url":"https://www.wormbase.org/tools/support?url=/","name":"Wormbase support","type":"Contact form"},{"url":"https://github.com/obophenotype/c-elegans-phenotype-ontology","name":"Github","type":"Github"}],"year_creation":2007,"cross_references":[{"url":"http://www.obofoundry.org/ontology/wbphenotype.html","name":"wbphenotype","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000130","bsg-s000130"],"name":"FAIRsharing record for: C. elegans phenotype","abbreviation":"WB-PHENOTYPE","url":"https://fairsharing.org/10.25504/FAIRsharing.agvc7y","doi":"10.25504/FAIRsharing.agvc7y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of Caenorhabditis elegans phenotypes .","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Phenotype"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1665,"pubmed_id":21261995,"title":"Worm Phenotype Ontology: integrating phenotype data within and beyond the C. elegans community.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-32","authors":"Schindelman G,Fernandes JS,Bastiani CA,Yook K,Sternberg PW","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-32","created_at":"2021-09-30T08:25:26.471Z","updated_at":"2021-09-30T08:25:26.471Z"}],"licence_links":[],"grants":[{"id":4998,"fairsharing_record_id":61,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:27:10.643Z","updated_at":"2021-09-30T09:27:10.643Z","grant_id":null,"is_lead":false,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":9063,"fairsharing_record_id":61,"organisation_id":3174,"relation":"funds","created_at":"2022-03-29T17:23:01.976Z","updated_at":"2022-03-29T17:23:01.976Z","grant_id":652,"is_lead":false,"saved_state":{"id":3174,"name":"U.S. Public Health Service","grant":"P41HG0223","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"75","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-16T09:25:37.132Z","metadata":{"doi":"10.25504/FAIRsharing.kg1x4z","name":"Mammalian Phenotype Ontology","status":"ready","contacts":[{"contact_name":"Susan M. Bello","contact_email":"susan.bello@jax.org","contact_orcid":"0000-0003-4606-0597"}],"homepage":"https://www.informatics.jax.org/vocab/mp_ontology/","citations":[],"identifier":75,"description":"The observable morphological, physiological, behavioral and other characteristics of mammalian organisms that are manifested through development and lifespan.","abbreviation":"MP","support_links":[{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","name":"User Support Contact Form","type":"Contact form"},{"url":"pheno@jax.org","name":"Support Email","type":"Support email"},{"url":"https://github.com/obophenotype/mammalian-phenotype-ontology/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://www.informatics.jax.org/phenotypes.shtml","name":"About Phenotypes and Mutant Alleles","type":"Help documentation"},{"url":"https://github.com/obophenotype/mammalian-phenotype-ontology","name":"GitHub Repository","type":"Github"}],"year_creation":2004,"associated_tools":[{"url":"http://www.informatics.jax.org/downloads/reports/index.html#pheno","name":"Mammalian Phenotype Ontology-Download Latest Version"},{"url":"https://github.com/mgijax/mammalian-phenotype-ontology","name":"Mammalian Phenotype Ontology GitHub page"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/MP","name":"MP","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/mp.html","name":"MP","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000129","bsg-s000129"],"name":"FAIRsharing record for: Mammalian Phenotype Ontology","abbreviation":"MP","url":"https://fairsharing.org/10.25504/FAIRsharing.kg1x4z","doi":"10.25504/FAIRsharing.kg1x4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The observable morphological, physiological, behavioral and other characteristics of mammalian organisms that are manifested through development and lifespan.","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10872},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11961}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Developmental Biology","Life Science","Physiology"],"domains":["Behavior","Phenotype"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1677,"pubmed_id":15642099,"title":"The Mammalian Phenotype Ontology as a tool for annotating, analyzing and comparing phenotypic information.","year":2005,"url":"http://doi.org/10.1186/gb-2004-6-1-r7","authors":"Smith CL,Goldsmith CA,Eppig JT","journal":"Genome Biol","doi":"10.1186/gb-2004-6-1-r7","created_at":"2021-09-30T08:25:27.869Z","updated_at":"2021-09-30T08:25:27.869Z"},{"id":1834,"pubmed_id":20052305,"title":"The mammalian phenotype ontology: enabling robust annotation and comparative analysis.","year":2010,"url":"http://doi.org/10.1002/wsbm.44","authors":"Smith CL,Eppig JT","journal":"Wiley Interdiscip Rev Syst Biol Med","doi":"10.1002/wsbm.44","created_at":"2021-09-30T08:25:45.962Z","updated_at":"2021-09-30T08:25:45.962Z"},{"id":1842,"pubmed_id":22961259,"title":"The Mammalian Phenotype Ontology as a unifying standard for experimental and high-throughput phenotyping data.","year":2012,"url":"http://doi.org/10.1007/s00335-012-9421-3","authors":"Smith CL,Eppig JT","journal":"Mamm Genome","doi":"10.1007/s00335-012-9421-3","created_at":"2021-09-30T08:25:46.874Z","updated_at":"2021-09-30T08:25:46.874Z"},{"id":2662,"pubmed_id":25825651,"title":"Expanding the mammalian phenotype ontology to support automated exchange of high throughput mouse phenotyping data generated by large-scale mouse knockout screens.","year":2015,"url":"http://doi.org/10.1186/s13326-015-0009-1","authors":"Smith CL,Eppig JT","journal":"J Biomed Semantics","doi":"10.1186/s13326-015-0009-1","created_at":"2021-09-30T08:27:26.888Z","updated_at":"2021-09-30T08:27:26.888Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":655,"relation":"undefined"},{"licence_name":"MGI Warranty Disclaimer and Copyright Notice","licence_id":511,"licence_url":"http://www.informatics.jax.org/mgihome/other/copyright.shtml","link_id":654,"relation":"undefined"}],"grants":[{"id":5026,"fairsharing_record_id":75,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:27:11.757Z","updated_at":"2021-09-30T09:27:11.757Z","grant_id":null,"is_lead":true,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5027,"fairsharing_record_id":75,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:11.794Z","updated_at":"2021-09-30T09:32:06.069Z","grant_id":1469,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG000330","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"92","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T09:31:11.071Z","metadata":{"doi":"10.25504/FAIRsharing.zvrep1","name":"Minimum Information about a MARKer gene Sequence","status":"ready","contacts":[{"contact_name":"Pelin Yilmaz","contact_email":"pyilmaz@mpi-bremen.de","contact_orcid":"0000-0003-4724-323X"}],"homepage":"https://www.nature.com/articles/nbt.1823","citations":[],"identifier":92,"description":"MIMARKS is the metadata reporting standard of the Genomic Standards Consortium that covers marker gene sequences from environmental surveys or individual organisms.","abbreviation":"MIxS - MIMARKS","support_links":[{"url":"developers@gensc.org","type":"Support email"},{"url":"http://mibbi.sourceforge.net/projects/MIMARKS.shtml","type":"Help documentation"}],"year_creation":2011},"legacy_ids":["bsg-000161","bsg-s000161"],"name":"FAIRsharing record for: Minimum Information about a MARKer gene Sequence","abbreviation":"MIxS - MIMARKS","url":"https://fairsharing.org/10.25504/FAIRsharing.zvrep1","doi":"10.25504/FAIRsharing.zvrep1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIMARKS is the metadata reporting standard of the Genomic Standards Consortium that covers marker gene sequences from environmental surveys or individual organisms.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11576},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11855},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11968}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science"],"domains":["Resource metadata","DNA sequence data","Deoxyribonucleic acid","Ribosomal RNA","Genetic marker"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":["Metadata standardization"],"countries":["Germany"],"publications":[{"id":236,"pubmed_id":21552244,"title":"Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications","year":2011,"url":"http://doi.org/10.1038/nbt.1823","authors":"Yilmaz P, Kottmann R, Field D, Knight R, Cole JR et al.","journal":"Nature Biotechnology","doi":"10.1038/nbt.1823","created_at":"2021-09-30T08:22:45.482Z","updated_at":"2021-09-30T08:22:45.482Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3322,"relation":"applies_to_content"}],"grants":[{"id":5065,"fairsharing_record_id":92,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:13.366Z","updated_at":"2021-09-30T09:27:13.366Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5068,"fairsharing_record_id":92,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:27:13.474Z","updated_at":"2021-09-30T09:27:13.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5064,"fairsharing_record_id":92,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:13.333Z","updated_at":"2021-09-30T09:27:13.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5066,"fairsharing_record_id":92,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:13.403Z","updated_at":"2021-09-30T09:27:13.403Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5067,"fairsharing_record_id":92,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:13.442Z","updated_at":"2023-09-06T13:27:13.911Z","grant_id":null,"is_lead":true,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9410,"fairsharing_record_id":92,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.457Z","updated_at":"2022-04-11T12:07:36.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"93","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:28.606Z","metadata":{"doi":"10.25504/FAIRsharing.hfgman","name":".ACE format","status":"ready","contacts":[{"contact_name":"David Gordon","contact_email":"gordon@genome.washington.edu"}],"homepage":"http://en.wikipedia.org/wiki/ACE_%28genomic_file_format%29","identifier":93,"description":"The ACE file format is a specification for storing data about genomic contigs. The original ACE format was developed for use with Consed, a program for viewing, editing, and finishing DNA sequence assemblies. ACE files are generated by various assembly programs, including Phrap, CAP3, Newbler, Arachne, AMOS (sequence assembly) (more specifically Minimo) and Tigr Assembler v2.","abbreviation":".ACE format","support_links":[{"url":"https://web.archive.org/web/20100609072313/http://bcr.musc.edu/manuals/CONSED.txt","type":"Help documentation"}]},"legacy_ids":["bsg-000297","bsg-s000297"],"name":"FAIRsharing record for: .ACE format","abbreviation":".ACE format","url":"https://fairsharing.org/10.25504/FAIRsharing.hfgman","doi":"10.25504/FAIRsharing.hfgman","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ACE file format is a specification for storing data about genomic contigs. The original ACE format was developed for use with Consed, a program for viewing, editing, and finishing DNA sequence assemblies. ACE files are generated by various assembly programs, including Phrap, CAP3, Newbler, Arachne, AMOS (sequence assembly) (more specifically Minimo) and Tigr Assembler v2.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Contig","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"94","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-01-16T11:20:16.899Z","metadata":{"doi":"10.25504/FAIRsharing.ca48xs","name":"Minimal Information About a Phylogenetic Analysis","status":"ready","contacts":[{"contact_name":"Jim Leebens-Mack","contact_email":"jleebensmack@plantbio.uga.edu"}],"homepage":"http://www.evoio.org/wiki/MIAPA","citations":[{"doi":"10.1089/omi.2006.10.231","pubmed_id":16901231,"publication_id":860}],"identifier":94,"description":"The Minimal Information About a Phylogenetic Analysis (MIAPA) ontology is an application ontology to formalize annotation of phylogenetic data according to the emerging Minimum Information About a Phylogenetic Analysis (MIAPA) metadata reporting standard.","abbreviation":"MIAPA","support_links":[{"url":"http://groups.google.com/group/miapa-discuss","type":"Forum"},{"url":"https://github.com/miapa/miapa/blob/master/checklist/MIAPA-checklist.md","type":"Github"},{"url":"http://mibbi.sourceforge.net/projects/MIAPA.shtml","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://www.ebi.ac.uk/ols/ontologies/miapa","name":"MIAPA (OLS)","portal":"OLS"},{"url":"https://bioregistry.io/registry/miapa","name":"miapa (Bioregistry)","portal":"Other"},{"url":"https://obofoundry.org/ontology/miapa.html","name":"MIAPA Ontology (OBO)","portal":"OBO Foundry"},{"url":"https://bioportal.bioontology.org/ontologies/MIAPA","name":"MIAPA Ontology (BioPortal)","portal":"BioPortal"}]},"legacy_ids":["bsg-000181","bsg-s000181"],"name":"FAIRsharing record for: Minimal Information About a Phylogenetic Analysis","abbreviation":"MIAPA","url":"https://fairsharing.org/10.25504/FAIRsharing.ca48xs","doi":"10.25504/FAIRsharing.ca48xs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Minimal Information About a Phylogenetic Analysis (MIAPA) ontology is an application ontology to formalize annotation of phylogenetic data according to the emerging Minimum Information About a Phylogenetic Analysis (MIAPA) metadata reporting standard.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11592},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11999}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Phylogeny","Phylogenetics","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Data transformation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":860,"pubmed_id":16901231,"title":"Taking the first steps towards a standard for reporting on phylogenies: Minimum Information About a Phylogenetic Analysis (MIAPA).","year":2006,"url":"http://doi.org/10.1089/omi.2006.10.231","authors":"Leebens-Mack J,Vision T,Brenner E,Bowers JE,Cannon S,Clement MJ,Cunningham CW,dePamphilis C,deSalle R,Doyle JJ,Eisen JA,Gu X,Harshman J,Jansen RK,Kellogg EA,Koonin EV,Mishler BD,Philippe H,Pires JC,Qiu YL,Rhee SY,Sjolander K,Soltis DE,Soltis PS,Stevenson DW,Wall K,Warnow T,Zmasek C","journal":"OMICS","doi":"10.1089/omi.2006.10.231","created_at":"2021-09-30T08:23:55.013Z","updated_at":"2021-09-30T08:23:55.013Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"95","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:23.861Z","metadata":{"doi":"10.25504/FAIRsharing.pvdrmz","name":"Minimum Information About a Microarray Experiment involving Plants","status":"ready","contacts":[{"contact_name":"Gaurab Mukherjee","contact_email":"gaurab@ebi.ac.uk"}],"homepage":"http://miame-plant.sourceforge.net/","identifier":95,"description":"MIAME/Plant is a standard describing which biological details should be captured for describing microarray experiments involving plants. Detailed information is required about biological aspects such as growth conditions, harvesting time or harvested organ(s).","abbreviation":"MIAME/Plant","year_creation":2006},"legacy_ids":["bsg-000182","bsg-s000182"],"name":"FAIRsharing record for: Minimum Information About a Microarray Experiment involving Plants","abbreviation":"MIAME/Plant","url":"https://fairsharing.org/10.25504/FAIRsharing.pvdrmz","doi":"10.25504/FAIRsharing.pvdrmz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME/Plant is a standard describing which biological details should be captured for describing microarray experiments involving plants. Detailed information is required about biological aspects such as growth conditions, harvesting time or harvested organ(s).","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11586},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11988},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12430}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Transcriptomics"],"domains":["Expression data","Deoxyribonucleic acid","Ribonucleic acid","Nucleic acid hybridization","DNA microarray","Genome"],"taxonomies":["Plantae"],"user_defined_tags":["Cistrome"],"countries":["Switzerland","United Kingdom","United States"],"publications":[{"id":849,"pubmed_id":16401339,"title":"MIAME/Plant - adding value to plant microarrray experiments.","year":2006,"url":"http://doi.org/10.1186/1746-4811-2-1","authors":"Zimmermann P,Schildknecht B,Craigon D,Garcia-Hernandez M,Gruissem W,May S,Mukherjee G,Parkinson H,Rhee S,Wagner U,Hennig L","journal":"Plant Methods","doi":"10.1186/1746-4811-2-1","created_at":"2021-09-30T08:23:53.647Z","updated_at":"2021-09-30T08:23:53.647Z"},{"id":1703,"pubmed_id":16219923,"title":"Plant-based microarray data at the European Bioinformatics Institute. Introducing AtMIAMExpress, a submission tool for Arabidopsis gene expression data to ArrayExpress.","year":2005,"url":"http://doi.org/10.1104/pp.105.063156","authors":"Mukherjee G,Abeygunawardena N,Parkinson H,Contrino S,Durinck S,Farne A,Holloway E,Lilja P,Moreau Y,Oezcimen A,Rayner T,Sharma A,Brazma A,Sarkans U,Shojatalab M","journal":"Plant Physiol","doi":"10.1104/pp.105.063156","created_at":"2021-09-30T08:25:30.847Z","updated_at":"2021-09-30T08:25:30.847Z"}],"licence_links":[],"grants":[{"id":9227,"fairsharing_record_id":95,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.848Z","updated_at":"2022-04-11T12:07:23.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"84","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:50.194Z","metadata":{"doi":"10.25504/FAIRsharing.b7z8by","name":"Digital Imaging and COmmunications in Medicine","status":"ready","contacts":[{"contact_name":"DICOM Help","contact_email":"dicom@medicalimaging.org"}],"homepage":"http://medical.nema.org/","identifier":84,"description":"DICOM — Digital Imaging and Communications in Medicine — is the international standard for medical images and related information (ISO 12052). It defines the formats for medical images that can be exchanged with the data and quality necessary for clinical use. DICOM is implemented in almost every radiology, cardiology imaging, and radiotherapy device (X-ray, CT, MRI, ultrasound, etc.), and increasingly in devices in other medical domains such as ophthalmology and dentistry. With tens of thousands of imaging devices in use, DICOM is one of the most widely deployed healthcare messaging standards in the world. There are literally billions of DICOM images currently in use for clinical care. Since its first publication in 1993, DICOM has revolutionized the practice of radiology, allowing the replacement of X-ray film with a fully digital workflow. Much as the Internet has become the platform for new consumer information applications, DICOM has enabled advanced medical imaging applications that have “changed the face of clinical medicine”. From the emergency department, to cardiac stress testing, to breast cancer detection, DICOM is the standard that makes medical imaging work — for doctors and for patients.","abbreviation":"DICOM","support_links":[{"url":"dicom@medicalimaging.org","type":"Support email"},{"url":"http://dicom.nema.org/dicom/faqs.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://dicom.nema.org/handbook.html","type":"Help documentation"},{"url":"comp.protocols.dicom@googlegroups.com","type":"Mailing list"},{"url":"http://dicom.nema.org/standard.html","type":"Help documentation"},{"url":"http://dicom.nema.org/dicom/geninfo/Brochure.pdf","type":"Help documentation"},{"url":"http://dicom.nema.org/standard.html","type":"Help documentation"}],"year_creation":1993,"associated_tools":[{"url":"http://www.idoimaging.com/","name":"DICOM software"}]},"legacy_ids":["bsg-000114","bsg-s000114"],"name":"FAIRsharing record for: Digital Imaging and COmmunications in Medicine","abbreviation":"DICOM","url":"https://fairsharing.org/10.25504/FAIRsharing.b7z8by","doi":"10.25504/FAIRsharing.b7z8by","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DICOM — Digital Imaging and Communications in Medicine — is the international standard for medical images and related information (ISO 12052). It defines the formats for medical images that can be exchanged with the data and quality necessary for clinical use. DICOM is implemented in almost every radiology, cardiology imaging, and radiotherapy device (X-ray, CT, MRI, ultrasound, etc.), and increasingly in devices in other medical domains such as ophthalmology and dentistry. With tens of thousands of imaging devices in use, DICOM is one of the most widely deployed healthcare messaging standards in the world. There are literally billions of DICOM images currently in use for clinical care. Since its first publication in 1993, DICOM has revolutionized the practice of radiology, allowing the replacement of X-ray film with a fully digital workflow. Much as the Internet has become the platform for new consumer information applications, DICOM has enabled advanced medical imaging applications that have “changed the face of clinical medicine”. From the emergency department, to cardiac stress testing, to breast cancer detection, DICOM is the standard that makes medical imaging work — for doctors and for patients.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17322},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12201},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16901}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Anatomy","Medicine","Biomedical Science"],"domains":["Imaging","Functional magnetic resonance imaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":991,"pubmed_id":23404629,"title":"Multi-series DICOM: an extension of DICOM that stores a whole study in a single object.","year":2013,"url":"http://doi.org/10.1007/s10278-013-9577-8","authors":"Ismail M,Philbin J","journal":"J Digit Imaging","doi":"10.1007/s10278-013-9577-8","created_at":"2021-09-30T08:24:09.691Z","updated_at":"2021-09-30T08:24:09.691Z"},{"id":1400,"pubmed_id":16223609,"title":"DICOM demystified: a review of digital file formats and their use in radiological practice.","year":2005,"url":"http://doi.org/10.1016/j.crad.2005.07.003","authors":"Graham RN,Perriss RW,Scarsbrook AF","journal":"Clin Radiol","doi":"10.1016/j.crad.2005.07.003","created_at":"2021-09-30T08:24:56.551Z","updated_at":"2021-09-30T08:24:56.551Z"}],"licence_links":[],"grants":[{"id":5049,"fairsharing_record_id":84,"organisation_id":2113,"relation":"maintains","created_at":"2021-09-30T09:27:12.757Z","updated_at":"2021-09-30T09:27:12.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":2113,"name":"NEMA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"86","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-27T12:31:33.734Z","metadata":{"doi":"10.25504/FAIRsharing.m3wzgs","name":"Fly taxonomy","status":"deprecated","contacts":[{"contact_name":"Helpmail","contact_email":"helpfb@morgan.harvard.edu"}],"homepage":"http://flybase.org/static_pages/allied-data/phylogeny/Drosophilidae-Tree/Drosophilidae.html","identifier":86,"description":"\"Fly taxonomy\" provides taxonomic information about the Fruit fly family (Drosophilidae). This information is a combination of NCBI TAXON data and from the following paper: Grimaldi, D.A.\"A phylogenetic, revised classification of Genera in the Drosophilidae (Diptera)\" Bulletin of the American Museum of Natural History. New York: New York . American Museum of Natural History, 1990.","abbreviation":"FBsp","support_links":[{"url":"http://flybase.org/cgi-bin/mailto-fbhelp.html","type":"Contact form"},{"url":"https://twitter.com/flybasedotorg","type":"Twitter"}],"year_creation":2000,"deprecation_date":"2019-07-22","deprecation_reason":"Deprecated after correspondence with FlyBase revealed this ontology was never adopted as a standard. FlyBase do not believe this standard has ever been in use."},"legacy_ids":["bsg-000152","bsg-s000152"],"name":"FAIRsharing record for: Fly taxonomy","abbreviation":"FBsp","url":"https://fairsharing.org/10.25504/FAIRsharing.m3wzgs","doi":"10.25504/FAIRsharing.m3wzgs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: \"Fly taxonomy\" provides taxonomic information about the Fruit fly family (Drosophilidae). This information is a combination of NCBI TAXON data and from the following paper: Grimaldi, D.A.\"A phylogenetic, revised classification of Genera in the Drosophilidae (Diptera)\" Bulletin of the American Museum of Natural History. New York: New York . American Museum of Natural History, 1990.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Taxonomic classification"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1765,"pubmed_id":26467478,"title":"FlyBase: establishing a Gene Group resource for Drosophila melanogaster.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1046","authors":"Attrill H,Falls K,Goodman JL,Millburn GH,Antonazzo G,Rey AJ,Marygold SJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1046","created_at":"2021-09-30T08:25:38.019Z","updated_at":"2021-09-30T11:29:19.570Z"}],"licence_links":[],"grants":[{"id":5054,"fairsharing_record_id":86,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:12.961Z","updated_at":"2021-09-30T09:27:12.961Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5056,"fairsharing_record_id":86,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:13.045Z","updated_at":"2021-09-30T09:30:37.677Z","grant_id":796,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"U41HG000739","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5055,"fairsharing_record_id":86,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:13.002Z","updated_at":"2021-09-30T09:27:13.002Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11849,"fairsharing_record_id":86,"organisation_id":713,"relation":"maintains","created_at":"2024-06-26T13:07:02.241Z","updated_at":"2024-06-26T13:07:02.241Z","grant_id":null,"is_lead":false,"saved_state":{"id":713,"name":"Department of Genetics, University of Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"87","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-07-20T11:07:38.245Z","metadata":{"doi":"10.25504/FAIRsharing.zn05ta","name":"Parkinson's Disease Ontology","status":"ready","contacts":[{"contact_name":"Dr. Erfan Younesi","contact_email":"erfan.younesi@scai.fraunhofer.de","contact_orcid":"0000-0001-8793-2692"}],"homepage":"http://bioportal.bioontology.org/ontologies/PDON","identifier":87,"description":"The Parkinson's Disease Ontology (PDO) was created to represent and model the Parkinson's Disease knowledge domain. This ontology with a covers major biomedical concepts from molecular to clinical features of the disease as well as the different views on disease features held by molecular biologists, clinicians and drug developers. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","abbreviation":"PDON","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PDON","name":"PDON","portal":"BioPortal"}]},"legacy_ids":["bsg-000932","bsg-s000932"],"name":"FAIRsharing record for: Parkinson's Disease Ontology","abbreviation":"PDON","url":"https://fairsharing.org/10.25504/FAIRsharing.zn05ta","doi":"10.25504/FAIRsharing.zn05ta","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Parkinson's Disease Ontology (PDO) was created to represent and model the Parkinson's Disease knowledge domain. This ontology with a covers major biomedical concepts from molecular to clinical features of the disease as well as the different views on disease features held by molecular biologists, clinicians and drug developers. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Discovery","Molecular biology","Biomedical Science","Preclinical Studies"],"domains":["Parkinson's disease","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Belgium","Germany","United Kingdom"],"publications":[{"id":2039,"pubmed_id":26395080,"title":"PDON: Parkinson's disease ontology for representation and modeling of the Parkinson's disease knowledge domain.","year":2015,"url":"http://doi.org/10.1186/s12976-015-0017-y","authors":"Younesi E,Malhotra A,Gundel M,Scordis P,Kodamullil AT,Page M,Muller B,Springstubbe S,Wullner U,Scheller D,Hofmann-Apitius M","journal":"Theor Biol Med Model","doi":"10.1186/s12976-015-0017-y","created_at":"2021-09-30T08:26:09.656Z","updated_at":"2021-09-30T08:26:09.656Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1368,"relation":"undefined"}],"grants":[{"id":5057,"fairsharing_record_id":87,"organisation_id":672,"relation":"maintains","created_at":"2021-09-30T09:27:13.082Z","updated_at":"2021-09-30T09:27:13.082Z","grant_id":null,"is_lead":false,"saved_state":{"id":672,"name":"Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Bonn-Aachen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"96","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:28.953Z","metadata":{"doi":"10.25504/FAIRsharing.32b10v","name":"Minimum Information About a Microarray Experiment","status":"ready","contacts":[{"contact_name":"Alvis Brazma","contact_email":"brazma@ebi.ac.uk","contact_orcid":"0000-0001-5988-7409"}],"homepage":"http://www.fged.org/projects/miame/","identifier":96,"description":"MIAME is intended to specify all the information necessary for an unambiguous interpretation of a microarray experiment, and potentially to reproduce it. MIAME defines the content but not the format for this information.","abbreviation":"MIAME","support_links":[{"url":"https://www.facebook.com/FGED.Society","name":"FGED Society Facebook","type":"Facebook"},{"url":"http://www.fged.org/about-us/","name":"Contact Form","type":"Contact form"},{"url":"http://discuss.fged.org/","name":"Forum","type":"Forum"},{"url":"http://announce.fged.org/","name":"Announcements Mailing List","type":"Mailing list"},{"url":"http://mibbi.sourceforge.net/projects/MIAME.shtml","name":"MIBBI (old)","type":"Help documentation"},{"url":"https://www.slideshare.net/FGED/","name":"Slideshare Functional Genomics Data Society","type":"Help documentation"},{"url":"https://www.youtube.com/user/fgedsociety/","name":"fgedsociety Youtube","type":"Video"},{"url":"https://twitter.com/FGED","name":"@FGED","type":"Twitter"}],"year_creation":1999,"associated_tools":[{"url":"https://www.ebi.ac.uk/fg/annotare","name":"Annotare"}]},"legacy_ids":["bsg-000177","bsg-s000177"],"name":"FAIRsharing record for: Minimum Information About a Microarray Experiment","abbreviation":"MIAME","url":"https://fairsharing.org/10.25504/FAIRsharing.32b10v","doi":"10.25504/FAIRsharing.32b10v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIAME is intended to specify all the information necessary for an unambiguous interpretation of a microarray experiment, and potentially to reproduce it. MIAME defines the content but not the format for this information.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18270},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11000},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11157},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11585},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11985},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12428},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16716}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Transcriptomics"],"domains":["Expression data","Experimental measurement","Deoxyribonucleic acid","Ribonucleic acid","Nucleic acid hybridization","DNA microarray","Study design","Experimentally determined","Genome"],"taxonomies":["All"],"user_defined_tags":["Experimental condition"],"countries":["Belgium","France","Germany","Netherlands","United Kingdom","United States"],"publications":[{"id":1311,"pubmed_id":19484163,"title":"Minimum Information About a Microarray Experiment (MIAME)--successes, failures, challenges.","year":2009,"url":"http://doi.org/10.1100/tsw.2009.57","authors":"Brazma A","journal":"ScientificWorldJournal","doi":"10.1100/tsw.2009.57","created_at":"2021-09-30T08:24:46.376Z","updated_at":"2021-09-30T08:24:46.376Z"},{"id":2332,"pubmed_id":11726920,"title":"Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.","year":2001,"url":"http://doi.org/10.1038/ng1201-365","authors":"Brazma A,Hingamp P,Quackenbush J,Sherlock G,Spellman P,Stoeckert C,Aach J,Ansorge W,Ball CA,Causton HC,Gaasterland T,Glenisson P,Holstege FC,Kim IF,Markowitz V,Matese JC,Parkinson H,Robinson A,Sarkans U,Schulze-Kremer S,Stewart J,Taylor R,Vilo J,Vingron M","journal":"Nat Genet","doi":"10.1038/ng1201-365","created_at":"2021-09-30T08:26:46.368Z","updated_at":"2021-09-30T08:26:46.368Z"}],"licence_links":[],"grants":[{"id":5072,"fairsharing_record_id":96,"organisation_id":1070,"relation":"maintains","created_at":"2021-09-30T09:27:13.634Z","updated_at":"2021-09-30T09:27:13.634Z","grant_id":null,"is_lead":true,"saved_state":{"id":1070,"name":"Functional Genomics Data Society (FGED)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":5073,"fairsharing_record_id":96,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:13.672Z","updated_at":"2021-09-30T09:27:13.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5074,"fairsharing_record_id":96,"organisation_id":851,"relation":"funds","created_at":"2021-09-30T09:27:13.714Z","updated_at":"2021-09-30T09:27:13.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":851,"name":"EMBL-EBI Industry Programme, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5075,"fairsharing_record_id":96,"organisation_id":829,"relation":"funds","created_at":"2021-09-30T09:27:13.756Z","updated_at":"2021-09-30T09:27:13.756Z","grant_id":null,"is_lead":false,"saved_state":{"id":829,"name":"EGL Charitable Foundation, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5076,"fairsharing_record_id":96,"organisation_id":1324,"relation":"funds","created_at":"2021-09-30T09:27:13.796Z","updated_at":"2021-09-30T09:27:13.796Z","grant_id":null,"is_lead":false,"saved_state":{"id":1324,"name":"Incyte Genomics, Wilmington, DE, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":5077,"fairsharing_record_id":96,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:27:13.835Z","updated_at":"2021-09-30T09:27:13.835Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"97","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:14.743Z","metadata":{"doi":"10.25504/FAIRsharing.n7nqde","name":"Minimal Information About T Cell Assays","status":"ready","contacts":[{"contact_name":"Sylvia Janetzki","contact_email":"sylvia@zellnet.com"}],"homepage":"http://miataproject.org/","identifier":97,"description":"MIATA (Minimal Information About T cell Assays) enables an objective and thorough interpretation of published results from T cell assays. Due to the high similarity between T cell assays and NK cell assays the concept has been expanded to include the Minimal Information About NK cell Assays (MIANKA).","abbreviation":"MIATA","support_links":[{"url":"http://miataproject.org/wp-content/uploads/2013/09/MIATA-Guidelines-Download.pdf","type":"Help documentation"},{"url":"http://miataproject.org/wp-content/uploads/2014/02/MIATA-MIANKA-checklist.pdf","type":"Help documentation"}],"year_creation":2008},"legacy_ids":["bsg-000189","bsg-s000189"],"name":"FAIRsharing record for: Minimal Information About T Cell Assays","abbreviation":"MIATA","url":"https://fairsharing.org/10.25504/FAIRsharing.n7nqde","doi":"10.25504/FAIRsharing.n7nqde","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIATA (Minimal Information About T cell Assays) enables an objective and thorough interpretation of published results from T cell assays. Due to the high similarity between T cell assays and NK cell assays the concept has been expanded to include the Minimal Information About NK cell Assays (MIANKA).","linked_records":[],"linking_records":[{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10875},{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11588},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11990}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Immunology","Biomedical Science"],"domains":["T cell","Immunity","Assay"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","Netherlands","Switzerland","United Kingdom","United States"],"publications":[{"id":853,"pubmed_id":19833080,"title":"\"MIATA\"-minimal information about T cell assays.","year":2009,"url":"http://doi.org/10.1016/j.immuni.2009.09.007","authors":"Janetzki S,Britten CM,Kalos M,Levitsky HI,Maecker HT,Melief CJ,Old LJ,Romero P,Hoos A,Davis MM","journal":"Immunity","doi":"10.1016/j.immuni.2009.09.007","created_at":"2021-09-30T08:23:54.146Z","updated_at":"2021-09-30T08:23:54.146Z"}],"licence_links":[],"grants":[{"id":5078,"fairsharing_record_id":97,"organisation_id":1844,"relation":"maintains","created_at":"2021-09-30T09:27:13.867Z","updated_at":"2021-09-30T09:27:13.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":1844,"name":"Minimal Information About T cell Assays (MIATA) consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"98","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.167Z","metadata":{"doi":"10.25504/FAIRsharing.ckjmt3","name":"Binary sequence information Format","status":"ready","homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format7","identifier":98,"description":"A .2bit file stores multiple DNA sequences (up to 4 Gb total) in a compact randomly-accessible format. The file contains masking information as well as the DNA itself. The DNA sequence is represented as two bits per pixel with associated list of regions containing N's, and masked regions.","abbreviation":"2bit","support_links":[{"url":"http://genome-source.cse.ucsc.edu/gitweb/?p=kent.git;a=blob_plain;f=src/inc/twoBit.h;hb=HEAD","name":"Source Code","type":"Help documentation"}]},"legacy_ids":["bsg-000205","bsg-s000205"],"name":"FAIRsharing record for: Binary sequence information Format","abbreviation":"2bit","url":"https://fairsharing.org/10.25504/FAIRsharing.ckjmt3","doi":"10.25504/FAIRsharing.ckjmt3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A .2bit file stores multiple DNA sequences (up to 4 Gb total) in a compact randomly-accessible format. The file contains masking information as well as the DNA itself. The DNA sequence is represented as two bits per pixel with associated list of regions containing N's, and masked regions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["DNA sequence data","Deoxyribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5079,"fairsharing_record_id":98,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:13.891Z","updated_at":"2021-09-30T09:27:13.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"99","type":"fairsharing_records","attributes":{"created_at":"2020-01-28T11:43:49.000Z","updated_at":"2022-07-20T12:46:56.243Z","metadata":{"doi":"10.25504/FAIRsharing.6dba71","name":"GeoNames Ontology","status":"ready","contacts":[{"contact_name":"Marc Wick","contact_email":"marc@geonames.org"}],"homepage":"http://www.geonames.org/ontology/documentation.html","identifier":99,"description":"The GeoNames Ontology makes it possible to add geospatial semantic information to the Word Wide Web. It maps to the DB schema that is used by GeoNames data export.","abbreviation":"GeoNames Ontology","support_links":[{"url":"https://web.archive.org/web/20080212144050/http://www.geospatialsemanticweb.com/2006/10/14/geonames-ontology-in-owl","name":"About GeoNames Ontology (blog post)","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-001440","bsg-s001440"],"name":"FAIRsharing record for: GeoNames Ontology","abbreviation":"GeoNames Ontology","url":"https://fairsharing.org/10.25504/FAIRsharing.6dba71","doi":"10.25504/FAIRsharing.6dba71","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GeoNames Ontology makes it possible to add geospatial semantic information to the Word Wide Web. It maps to the DB schema that is used by GeoNames data export.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Geography","Geoinformatics"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1731,"relation":"undefined"}],"grants":[{"id":5080,"fairsharing_record_id":99,"organisation_id":1124,"relation":"maintains","created_at":"2021-09-30T09:27:13.916Z","updated_at":"2021-09-30T09:27:13.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":1124,"name":"GeoNames Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"100","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T09:28:34.520Z","metadata":{"doi":"10.25504/FAIRsharing.va1hck","name":"Minimum Information about a (Meta)Genome Sequence","status":"ready","contacts":[{"contact_name":"Chris Hunter","contact_email":"only1chunts@gmail.com","contact_orcid":"0000-0002-1335-0881"},{"contact_name":"GSC-compliance and interoperability group","contact_email":"gensc-cig@googlegroups.com","contact_orcid":null}],"homepage":"http://w3id.org/mixs","citations":[],"identifier":100,"description":"MIGS/MIMS (Minimum Information About a (Meta)Genome Sequence) outlines a conceptual structure for extending the core information that has been traditionally captured by the INSDC (DDBJ/EMBL/Genbank) to describe genomic and metagenomic sequences. The MIMS extension describes key aspects of environmental context.","abbreviation":"MIxS - MIGS/MIMS","support_links":[{"url":"http://gensc.org/","type":"Help documentation"},{"url":"https://github.com/genomicsStandardsConsortium/mixs","name":"GSC-MIxS ","type":"Github"},{"url":"https://genomicsstandardsconsortium.github.io/mixs/","name":"GSC-MIxS support docs","type":"Help documentation"}],"year_creation":2007},"legacy_ids":["bsg-000172","bsg-s000172"],"name":"FAIRsharing record for: Minimum Information about a (Meta)Genome Sequence","abbreviation":"MIxS - MIGS/MIMS","url":"https://fairsharing.org/10.25504/FAIRsharing.va1hck","doi":"10.25504/FAIRsharing.va1hck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MIGS/MIMS (Minimum Information About a (Meta)Genome Sequence) outlines a conceptual structure for extending the core information that has been traditionally captured by the INSDC (DDBJ/EMBL/Genbank) to describe genomic and metagenomic sequences. The MIMS extension describes key aspects of environmental context.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11574},{"linking_record_name":"Genomic Standards Consortium","linking_record_id":3528,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11854},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11966}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Environmental Science"],"domains":["DNA sequence data","Deoxyribonucleic acid","Metagenome","Genome"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["United Kingdom","United States","Worldwide","European Union"],"publications":[{"id":844,"pubmed_id":18464787,"title":"The minimum information about a genome sequence (MIGS) specification.","year":2008,"url":"http://doi.org/10.1038/nbt1360","authors":"Field D,Garrity G,Gray T,Morrison N,Selengut J,Sterk P,Tatusova T,Thomson N,Allen MJ,Angiuoli SV,Ashburner M,Axelrod N,Baldauf S,Ballard S,Boore J,Cochrane G,Cole J,Dawyndt P,De Vos P,DePamphilis C,Edwards R,Faruque N,Feldman R,Gilbert J,Gilna P,Glockner FO,Goldstein P,Guralnick R,Haft D,Hancock D,Hermjakob H,Hertz-Fowler C,Hugenholtz P,Joint I,Kagan L,Kane M,Kennedy J,Kowalchuk G,Kottmann R,Kolker E,Kravitz S,Kyrpides N,Leebens-Mack J,Lewis SE,Li K,Lister AL,Lord P,Maltsev N,Markowitz V,Martiny J,Methe B,Mizrachi I,Moxon R,Nelson K,Parkhill J,Proctor L,White O,Sansone SA,Spiers A,Stevens R,Swift P,Taylor C,Tateno Y,Tett A,Turner S,Ussery D,Vaughan B,Ward N,Whetzel T,San Gil I,Wilson G,Wipat A","journal":"Nat Biotechnol","doi":"10.1038/nbt1360","created_at":"2021-09-30T08:23:53.146Z","updated_at":"2021-09-30T08:23:53.146Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3602,"relation":"applies_to_content"}],"grants":[{"id":5081,"fairsharing_record_id":100,"organisation_id":2943,"relation":"funds","created_at":"2021-09-30T09:27:13.946Z","updated_at":"2021-09-30T09:27:13.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":2943,"name":"United States Department of Energy, Office of Science, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5084,"fairsharing_record_id":100,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:14.146Z","updated_at":"2021-09-30T09:27:14.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5082,"fairsharing_record_id":100,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:13.989Z","updated_at":"2021-09-30T09:27:13.989Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5083,"fairsharing_record_id":100,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:27:14.106Z","updated_at":"2021-09-30T09:27:14.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5085,"fairsharing_record_id":100,"organisation_id":1119,"relation":"maintains","created_at":"2021-09-30T09:27:14.189Z","updated_at":"2021-09-30T09:27:14.189Z","grant_id":null,"is_lead":false,"saved_state":{"id":1119,"name":"Genomic Standards Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5086,"fairsharing_record_id":100,"organisation_id":2782,"relation":"funds","created_at":"2021-09-30T09:27:14.226Z","updated_at":"2021-09-30T09:27:14.226Z","grant_id":null,"is_lead":false,"saved_state":{"id":2782,"name":"The Gordon and Betty Moore Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"88","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:09.596Z","metadata":{"doi":"10.25504/FAIRsharing.ngv2xx","name":"Apollo-SV","status":"ready","contacts":[{"contact_name":"William Hogan","contact_email":"hoganwr@gmail.com","contact_orcid":"0000-0002-9881-1017"}],"homepage":"http://purl.obolibrary.org/obo/apollo_sv.owl","identifier":88,"description":"An ontology of infectious disease epidemiology and ecology (a.k.a. population biology).","abbreviation":"Apollo-SV","support_links":[{"url":"https://github.com/ApolloDev/apollo-sv","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/APOLLO-SV","name":"APOLLO-SV","portal":"BioPortal"}]},"legacy_ids":["bsg-002688","bsg-s002688"],"name":"FAIRsharing record for: Apollo-SV","abbreviation":"Apollo-SV","url":"https://fairsharing.org/10.25504/FAIRsharing.ngv2xx","doi":"10.25504/FAIRsharing.ngv2xx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An ontology of infectious disease epidemiology and ecology (a.k.a. population biology).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12453}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Ecology","Biomedical Science","Epidemiology","Population Genetics"],"domains":["Pathogen","Infection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1773,"pubmed_id":24551417,"title":"Apollo: giving application developers a single point of access to public health models using structured vocabularies and Web services.","year":2014,"url":"https://www.ncbi.nlm.nih.gov/pubmed/24551417","authors":"Wagner MM,Levander JD,Brown S,Hogan WR,Millett N,Hanna J","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:25:38.972Z","updated_at":"2021-09-30T08:25:38.972Z"},{"id":1988,"pubmed_id":27538448,"title":"The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0092-y","authors":"Hogan WR,Wagner MM,Brochhausen M,Levander J,Brown ST,Millett N,DePasse J,Hanna J","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0092-y","created_at":"2021-09-30T08:26:03.782Z","updated_at":"2021-09-30T08:26:03.782Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":206,"relation":"undefined"}],"grants":[{"id":5058,"fairsharing_record_id":88,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:27:13.116Z","updated_at":"2021-09-30T09:30:01.206Z","grant_id":516,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"UL1TR000064","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5060,"fairsharing_record_id":88,"organisation_id":102,"relation":"maintains","created_at":"2021-09-30T09:27:13.182Z","updated_at":"2021-09-30T09:27:13.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":102,"name":"Apollo Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5059,"fairsharing_record_id":88,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:13.150Z","updated_at":"2021-09-30T09:30:09.896Z","grant_id":580,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01GM101151","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8029,"fairsharing_record_id":88,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:30:29.787Z","updated_at":"2021-09-30T09:30:29.833Z","grant_id":735,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"UL1TR000039","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8351,"fairsharing_record_id":88,"organisation_id":1956,"relation":"funds","created_at":"2021-09-30T09:32:14.059Z","updated_at":"2021-09-30T09:32:14.149Z","grant_id":1528,"is_lead":false,"saved_state":{"id":1956,"name":"National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"UL1TR001427","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"89","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:24:04.000Z","updated_at":"2022-10-10T19:28:32.586Z","metadata":{"doi":"10.25504/FAIRsharing.ctqJoR","name":"Inist Periodic Table of the Elements Trilingual Thesaurus","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/8HQ/en/","citations":[],"identifier":89,"description":"This trilingual thesaurus (French, English, Spanish) deals with the 118 chemical elements of the periodic table recognized by the IUPAC. It is aligned with ChEBI, wikidata, wikipedia, DBpedia.","abbreviation":null,"year_creation":2019},"legacy_ids":["bsg-001412","bsg-s001412"],"name":"FAIRsharing record for: Inist Periodic Table of the Elements Trilingual Thesaurus","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ctqJoR","doi":"10.25504/FAIRsharing.ctqJoR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This trilingual thesaurus (French, English, Spanish) deals with the 118 chemical elements of the periodic table recognized by the IUPAC. It is aligned with ChEBI, wikidata, wikipedia, DBpedia.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11295}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Chemistry"],"domains":["Chemical entity"],"taxonomies":["Not applicable"],"user_defined_tags":["chemical element"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1681,"relation":"undefined"}],"grants":[{"id":5061,"fairsharing_record_id":89,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:13.220Z","updated_at":"2021-09-30T09:27:13.220Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"90","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:24.000Z","updated_at":"2022-01-06T09:09:14.249Z","metadata":{"doi":"10.25504/FAIRsharing.a1j1a7","name":"Pre-eclampsia Ontology","status":"ready","contacts":[{"contact_name":"Satoshi Mizuno","contact_email":"samizuno@med.tohoku.ac.jp"}],"homepage":"http://bioportal.bioontology.org/ontologies/PE-O","citations":[{"doi":"10.1371/journal.pone.0162828","pubmed_id":null,"publication_id":3173}],"identifier":90,"description":"The PEO incorporates a wide range of key concepts and terms of PE from clinical and biomedical research in structuring the knowledge base that is specific to PE.","abbreviation":"PE-O","year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/PE-O","name":"PE-O","portal":"BioPortal"}]},"legacy_ids":["bsg-000763","bsg-s000763"],"name":"FAIRsharing record for: Pre-eclampsia Ontology","abbreviation":"PE-O","url":"https://fairsharing.org/10.25504/FAIRsharing.a1j1a7","doi":"10.25504/FAIRsharing.a1j1a7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PEO incorporates a wide range of key concepts and terms of PE from clinical and biomedical research in structuring the knowledge base that is specific to PE.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Gynecology","Obstetrics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","Japan","United Kingdom"],"publications":[{"id":3173,"pubmed_id":null,"title":"The Pre-Eclampsia Ontology: A Disease Ontology Representing the Domain Knowledge Specific to Pre-Eclampsia","year":2016,"url":"http://dx.doi.org/10.1371/journal.pone.0162828","authors":"Mizuno, Satoshi; Ogishima, Soichi; Nishigori, Hidekazu; Jamieson, Daniel G.; Verspoor, Karin; Tanaka, Hiroshi; Yaegashi, Nobuo; Nakaya, Jun; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0162828","created_at":"2022-01-05T20:07:41.026Z","updated_at":"2022-01-05T20:07:41.026Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"91","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:35:40.168Z","metadata":{"doi":"10.25504/FAIRsharing.3mdt9n","name":"Chemical Markup Language","status":"ready","contacts":[{"contact_name":"Peter Murray-Rust","contact_email":"pm286@cam.ac.uk","contact_orcid":"0000-0003-3386-3972"}],"homepage":"http://www.xml-cml.org/spec/","identifier":91,"description":"CML (Chemical Markup Language) is an XML language designed to hold most of the central concepts in chemistry. It was the first language to be developed and plays the same role for chemistry as MathML for mathematics and GML for geographical systems. CML covers most mainstream chemistry and especially molecules, reactions, solid-state, computation and spectroscopy as well as a wide range of chemical properties, parameters and experimental observation. It is particularly concerned with the communication between machines and humans, and machines to machines.","abbreviation":"CML","support_links":[{"url":"http://www.xml-cml.org/documentation/FAQ.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.xml-cml.org/documentation/index.html","type":"Help documentation"},{"url":"cml-discuss@lists.sourceforge.net","name":"CML Mailing list","type":"Mailing list"},{"url":"http://www.xml-cml.org/tutorial/","type":"Training documentation"}],"year_creation":1995,"associated_tools":[{"url":"http://www.xml-cml.org/tools/software.html","name":"CML aware tools"}]},"legacy_ids":["bsg-000119","bsg-s000119"],"name":"FAIRsharing record for: Chemical Markup Language","abbreviation":"CML","url":"https://fairsharing.org/10.25504/FAIRsharing.3mdt9n","doi":"10.25504/FAIRsharing.3mdt9n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CML (Chemical Markup Language) is an XML language designed to hold most of the central concepts in chemistry. It was the first language to be developed and plays the same role for chemistry as MathML for mathematics and GML for geographical systems. CML covers most mainstream chemistry and especially molecules, reactions, solid-state, computation and spectroscopy as well as a wide range of chemical properties, parameters and experimental observation. It is particularly concerned with the communication between machines and humans, and machines to machines.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11713}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Biochemistry","Chemistry","Life Science"],"domains":["Molecular structure","Mathematical model","Reaction data","Molecular entity","Spectroscopy","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1033,"pubmed_id":12767134,"title":"Chemical markup, XML, and the World Wide Web. 4. CML schema","year":2003,"url":"http://doi.org/10.1021/ci0256541","authors":"Murray-Rust P, Rzepa HS","journal":"J Chem Inf Comput Sci","doi":"10.1021/ci0256541","created_at":"2021-09-30T08:24:14.381Z","updated_at":"2021-09-30T08:24:14.381Z"}],"licence_links":[],"grants":[{"id":5062,"fairsharing_record_id":91,"organisation_id":501,"relation":"maintains","created_at":"2021-09-30T09:27:13.258Z","updated_at":"2021-09-30T09:27:13.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":501,"name":"Chemical Markup Language (CML) Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5063,"fairsharing_record_id":91,"organisation_id":352,"relation":"maintains","created_at":"2021-09-30T09:27:13.295Z","updated_at":"2021-09-30T09:27:13.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"78","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:27.701Z","metadata":{"doi":"10.25504/FAIRsharing.hza1ec","name":"Binary Alignment Map Format","status":"ready","contacts":[{"contact_name":"Brian Lee","contact_email":"brianlee@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bam.html","identifier":78,"description":"BAM is the compressed binary version of the Sequence Alignment/Map (SAM) format, a compact and indexable representation of nucleotide sequence alignments. Many next-generation sequencing and analysis tools work with SAM/BAM. For custom track display, the main advantage of indexed BAM over PSL and other human-readable alignment formats is that only the portions of the files needed to display a particular region are transferred to UCSC. This makes it possible to display alignments from files that are so large that the connection to UCSC would time out when attempting to upload the whole file to UCSC. Both the BAM file and its associated index file remain on your web-accessible server (http, https, or ftp), not on the UCSC server. UCSC temporarily caches the accessed portions of the files to speed up interactive display.","abbreviation":"BAM","support_links":[{"url":"https://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"},{"url":"genome@soe.ucsc.edu","type":"Support email"},{"url":"https://genome.ucsc.edu/FAQ/FAQformat.html#format5.1","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/a/soe.ucsc.edu/forum/?hl=en#!forum/genome-announce","type":"Forum"},{"url":"https://genome.ucsc.edu/goldenpath/help/hgBamTrackHelp.html","type":"Help documentation"},{"url":"http://genome.ucsc.edu/goldenPath/help/bam.html","type":"Help documentation"}],"associated_tools":[{"url":"http://samtools.sourceforge.net/","name":"SAMtools 1.4"}]},"legacy_ids":["bsg-000210","bsg-s000210"],"name":"FAIRsharing record for: Binary Alignment Map Format","abbreviation":"BAM","url":"https://fairsharing.org/10.25504/FAIRsharing.hza1ec","doi":"10.25504/FAIRsharing.hza1ec","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BAM is the compressed binary version of the Sequence Alignment/Map (SAM) format, a compact and indexable representation of nucleotide sequence alignments. Many next-generation sequencing and analysis tools work with SAM/BAM. For custom track display, the main advantage of indexed BAM over PSL and other human-readable alignment formats is that only the portions of the files needed to display a particular region are transferred to UCSC. This makes it possible to display alignments from files that are so large that the connection to UCSC would time out when attempting to upload the whole file to UCSC. Both the BAM file and its associated index file remain on your web-accessible server (http, https, or ftp), not on the UCSC server. UCSC temporarily caches the accessed portions of the files to speed up interactive display.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18272},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11168},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11276},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11862},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12008},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16917}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5030,"fairsharing_record_id":78,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:11.911Z","updated_at":"2021-09-30T09:27:11.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"79","type":"fairsharing_records","attributes":{"created_at":"2018-01-18T15:41:06.000Z","updated_at":"2022-07-20T12:43:26.966Z","metadata":{"doi":"10.25504/FAIRsharing.b3c5ck","name":"Bilingual lexicon of water related texts and data","status":"in_development","contacts":[{"contact_name":"J.-L. Janin","contact_email":"jeanlouisjanin@gmail.com"}],"homepage":"http://agroportal.lirmm.fr/ontologies/LEXEAU","identifier":79,"description":"This terminology is also known as the Lexique bilingue des textes et des données sur l'eau. The Lexeau project is in the research and developement stage, using existing software to test the lexicon model and user interface on specific themes of the water domain such as flooding. This resource does not have a specific homepage, and currently is only available via AgroPortal.","abbreviation":"Lexeau","year_creation":2017},"legacy_ids":["bsg-001107","bsg-s001107"],"name":"FAIRsharing record for: Bilingual lexicon of water related texts and data","abbreviation":"Lexeau","url":"https://fairsharing.org/10.25504/FAIRsharing.b3c5ck","doi":"10.25504/FAIRsharing.b3c5ck","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This terminology is also known as the Lexique bilingue des textes et des données sur l'eau. The Lexeau project is in the research and developement stage, using existing software to test the lexicon model and user interface on specific themes of the water domain such as flooding. This resource does not have a specific homepage, and currently is only available via AgroPortal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Environmental Science","Earth Science","Water Management","Water Research"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":5031,"fairsharing_record_id":79,"organisation_id":299,"relation":"maintains","created_at":"2021-09-30T09:27:11.949Z","updated_at":"2021-09-30T09:27:11.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":299,"name":"Bordeaux Montaigne University, France","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"81","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:29.000Z","updated_at":"2023-09-29T11:55:00.229Z","metadata":{"doi":"10.25504/FAIRsharing.t7mby9","name":"ISO 19115-1:2014 Geographic information -- Metadata -- Part 1: Fundamentals","status":"ready","contacts":[{"contact_name":"ISO/TC 211 - Secretariat","contact_email":"info@sis.se"}],"homepage":"https://www.iso.org/standard/53798.html","citations":[],"identifier":81,"description":"ISO 19115-1:2014 defines the schema required for describing geographic information and services by means of metadata. It provides information about the identification, the extent, the quality, the spatial and temporal aspects, the content, the spatial reference, the portrayal, distribution, and other properties of digital geographic data and services.","abbreviation":"ISO 19115-1:2014","year_creation":2014},"legacy_ids":["bsg-000861","bsg-s000861"],"name":"FAIRsharing record for: ISO 19115-1:2014 Geographic information -- Metadata -- Part 1: Fundamentals","abbreviation":"ISO 19115-1:2014","url":"https://fairsharing.org/10.25504/FAIRsharing.t7mby9","doi":"10.25504/FAIRsharing.t7mby9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO 19115-1:2014 defines the schema required for describing geographic information and services by means of metadata. It provides information about the identification, the extent, the quality, the spatial and temporal aspects, the content, the spatial reference, the portrayal, distribution, and other properties of digital geographic data and services.","linked_records":[],"linking_records":[{"linking_record_name":"Research Metadata Schema Crosswalk Mappings to Schema.org","linking_record_id":3641,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13333}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Geography","Geoinformatics","Earth Science"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":1633,"relation":"undefined"}],"grants":[{"id":5042,"fairsharing_record_id":81,"organisation_id":2713,"relation":"maintains","created_at":"2021-09-30T09:27:12.457Z","updated_at":"2021-09-30T09:27:12.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":2713,"name":"Technical Committee 211, International Organization for Standardization (ISO), Geneva, Switzerland","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":10933,"fairsharing_record_id":81,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:22:52.888Z","updated_at":"2023-09-27T14:22:52.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"82","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:45:47.443Z","metadata":{"doi":"10.25504/FAIRsharing.1rj558","name":"Teleost Taxonomy Ontology","status":"ready","contacts":[{"contact_name":"Paula Mabee","contact_email":"pmabee@usd.edu","contact_orcid":"0000-0002-8455-3213"}],"homepage":"https://wiki.phenoscape.org/wiki/Ontologies#Teleost_Taxonomy_Ontology_.28TTO.29","identifier":82,"description":"This is an ontology of taxonomic terms (names of taxonomic groups) used in the systematics of fish, including non-teleost groups such as Chondrichthys (sharks and rays), Sarcopterygii (lungfish and coelacanths), lampreys, and hagfish.","abbreviation":"TTO","support_links":[{"url":"https://blog.phenoscape.org","type":"Blog/News"},{"url":"peteremidford@yahoo.com","name":"Peter Midford","type":"Support email"},{"url":"https://wiki.phenoscape.org/wiki/Teleost_Taxonomy_Ontology","type":"Help documentation"}],"year_creation":2010,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/TTO","name":"TTO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/tto.html","name":"tto","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000153","bsg-s000153"],"name":"FAIRsharing record for: Teleost Taxonomy Ontology","abbreviation":"TTO","url":"https://fairsharing.org/10.25504/FAIRsharing.1rj558","doi":"10.25504/FAIRsharing.1rj558","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is an ontology of taxonomic terms (names of taxonomic groups) used in the systematics of fish, including non-teleost groups such as Chondrichthys (sharks and rays), Sarcopterygii (lungfish and coelacanths), lampreys, and hagfish.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Taxonomic classification"],"taxonomies":["Chondrichthys","Sarcopterygii","Teleostei"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":358,"relation":"undefined"}],"grants":[{"id":5043,"fairsharing_record_id":82,"organisation_id":2318,"relation":"maintains","created_at":"2021-09-30T09:27:12.489Z","updated_at":"2021-09-30T09:27:12.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":2318,"name":"Phenoscape","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5044,"fairsharing_record_id":82,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:27:12.518Z","updated_at":"2021-09-30T09:27:12.518Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"80","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:56.058Z","metadata":{"doi":"10.25504/FAIRsharing.6f7m6j","name":"Simulation Experiment Description Markup Language","status":"ready","contacts":[{"contact_name":"SED-ML Editors","contact_email":"sed-ml-editors@lists.sourceforge.net"}],"homepage":"http://sed-ml.org/","identifier":80,"description":"SED-ML is an XML-based format for encoding simulation setups, to ensure exchangeability and reproducibility of simulation experiments. It follows the requirements defined in the MIASE guidelines. SED-ML encodes in a computer-readable exchange format the information required by MIASE to enable reproduction of simulation experiments. It has been developed as a community project and it is defined in a detailed technical specification and additionally provides an XML schema.","abbreviation":"SED-ML","support_links":[{"url":"http://sed-ml.org/contact.html","name":"Contact Information","type":"Contact form"},{"url":"https://github.com/SED-ML/sed-ml/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://sed-ml.org/examples.html","name":"Examples of Use","type":"Help documentation"},{"url":"https://groups.google.com/g/sed-ml-discuss","name":"SED-ML Discussion List","type":"Mailing list"},{"url":"https://github.com/SED-ML/sed-ml","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/biosimulators-help","name":"BioSimulators tutorial and help","type":"TeSS links to training materials"}],"year_creation":2008,"associated_tools":[{"url":"http://sed-ml.org/showcase.html","name":"SED-ML Tools and Libraries List"}]},"legacy_ids":["bsg-000148","bsg-s000148"],"name":"FAIRsharing record for: Simulation Experiment Description Markup Language","abbreviation":"SED-ML","url":"https://fairsharing.org/10.25504/FAIRsharing.6f7m6j","doi":"10.25504/FAIRsharing.6f7m6j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SED-ML is an XML-based format for encoding simulation setups, to ensure exchangeability and reproducibility of simulation experiments. It follows the requirements defined in the MIASE guidelines. SED-ML encodes in a computer-readable exchange format the information required by MIASE to enable reproduction of simulation experiments. It has been developed as a community project and it is defined in a detailed technical specification and additionally provides an XML schema.","linked_records":[],"linking_records":[{"linking_record_name":"Computational Modeling (COMBINE)","linking_record_id":3495,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10847},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11151},{"linking_record_name":"The NormSys Registry for Modeling Standards","linking_record_id":3530,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11877},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11965},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12207},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16940}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Systems Biology"],"domains":["Mathematical model","Modeling and simulation","Enzymatic reaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":944,"pubmed_id":26528560,"title":"Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 2.","year":2015,"url":"http://doi.org/10.2390/biecoll-jib-2015-262","authors":"Bergmann FT,Cooper J,Le Novere N,Nickerson D,Waltemath D","journal":"J Integr Bioinform","doi":"10.2390/biecoll-jib-2015-262","created_at":"2021-09-30T08:24:04.463Z","updated_at":"2021-09-30T08:24:04.463Z"},{"id":977,"pubmed_id":22172142,"title":"Reproducible computational biology experiments with SED-ML--the Simulation Experiment Description Markup Language.","year":2011,"url":"http://doi.org/10.1186/1752-0509-5-198","authors":"Waltemath D,Adams R,Bergmann FT,Hucka M,Kolpakov F,Miller AK,Moraru II,Nickerson D,Sahle S,Snoep JL,Le Novere N","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-5-198","created_at":"2021-09-30T08:24:08.130Z","updated_at":"2021-09-30T08:24:08.130Z"}],"licence_links":[],"grants":[{"id":5034,"fairsharing_record_id":80,"organisation_id":2539,"relation":"maintains","created_at":"2021-09-30T09:27:12.068Z","updated_at":"2021-09-30T09:27:12.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":2539,"name":"SED-ML editors","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5040,"fairsharing_record_id":80,"organisation_id":3196,"relation":"funds","created_at":"2021-09-30T09:27:12.378Z","updated_at":"2021-09-30T09:27:12.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":3196,"name":"VPH-Share Project","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8420,"fairsharing_record_id":80,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:33.718Z","updated_at":"2021-09-30T09:32:33.778Z","grant_id":1675,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U54-RR022232","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8468,"fairsharing_record_id":80,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:32:47.152Z","updated_at":"2021-09-30T09:32:47.210Z","grant_id":1777,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM081070","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5032,"fairsharing_record_id":80,"organisation_id":584,"relation":"maintains","created_at":"2021-09-30T09:27:11.986Z","updated_at":"2021-09-30T09:27:11.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":584,"name":"COmputational Modeling in BIology NEtwork (COMBINE)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5037,"fairsharing_record_id":80,"organisation_id":1755,"relation":"funds","created_at":"2021-09-30T09:27:12.186Z","updated_at":"2021-09-30T09:27:12.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":1755,"name":"Marie Skodowska-Curie actions, Europe","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5039,"fairsharing_record_id":80,"organisation_id":1775,"relation":"funds","created_at":"2021-09-30T09:27:12.336Z","updated_at":"2021-09-30T09:27:12.336Z","grant_id":null,"is_lead":false,"saved_state":{"id":1775,"name":"Maurice Wilkins Center for Molecular Biodiscovery, Auckland, New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5038,"fairsharing_record_id":80,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:12.287Z","updated_at":"2021-09-30T09:29:46.484Z","grant_id":396,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/D019621/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5035,"fairsharing_record_id":80,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:27:12.111Z","updated_at":"2021-09-30T09:31:04.748Z","grant_id":1006,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG Research Training Group 1387/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5041,"fairsharing_record_id":80,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:27:12.420Z","updated_at":"2021-09-30T09:31:58.911Z","grant_id":1415,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031 6194","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5036,"fairsharing_record_id":80,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:12.149Z","updated_at":"2021-09-30T09:32:23.722Z","grant_id":1600,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"P41-RR013186","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5033,"fairsharing_record_id":80,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:12.028Z","updated_at":"2021-09-30T09:31:58.025Z","grant_id":1409,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM070923","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"83","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:06:41.840Z","metadata":{"doi":"10.25504/FAIRsharing.26dmba","name":"mz Markup Language","status":"ready","contacts":[{"contact_name":"Sylvie Ricard-Blum","contact_email":"sylvie.ricard-blum@univ-lyon1.fr"}],"homepage":"http://www.psidev.info/mzml","identifier":83,"description":"mzML was formed to amalgamate two formats for encoding raw spectrometer data; mzData developed by the PSI, and, mzXML developed at the Seattle Proteome Center at the Institute for Systems Biology. The PSI, with full participation by the ISB, developed the new format by taking the best aspects of each of the precursors to form a single, less confusing, format.","abbreviation":"mzML","support_links":[{"url":"psidev-ms-dev@lists.sourceforge.net","name":"SourceForge Mailing list","type":"Mailing list"}],"year_creation":2008},"legacy_ids":["bsg-000112","bsg-s000112"],"name":"FAIRsharing record for: mz Markup Language","abbreviation":"mzML","url":"https://fairsharing.org/10.25504/FAIRsharing.26dmba","doi":"10.25504/FAIRsharing.26dmba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mzML was formed to amalgamate two formats for encoding raw spectrometer data; mzData developed by the PSI, and, mzXML developed at the Seattle Proteome Center at the Institute for Systems Biology. The PSI, with full participation by the ISB, developed the new format by taking the best aspects of each of the precursors to form a single, less confusing, format.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10911},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11025},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11149},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11270},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11431},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11962}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mass spectrum","Centrally registered identifier","Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Germany","United Kingdom"],"publications":[{"id":99,"pubmed_id":24727771,"title":"ProteomeXchange provides globally coordinated proteomics data submission and dissemination.","year":2014,"url":"http://doi.org/10.1038/nbt.2839","authors":"Vizcaíno JA, Deutsch EW, Wang R, et al.","journal":"Nat Biotechnol.","doi":"10.1038/nbt.2839","created_at":"2021-09-30T08:22:31.122Z","updated_at":"2021-09-30T08:22:31.122Z"},{"id":2176,"pubmed_id":20716697,"title":"mzML--a community standard for mass spectrometry data.","year":2010,"url":"http://doi.org/10.1074/mcp.R110.000133","authors":"Martens L,Chambers M,Sturm M,Kessner D,Levander F,Shofstahl J,Tang WH,Rompp A,Neumann S,Pizarro AD,Montecchi-Palazzi L,Tasman N,Coleman M,Reisinger F,Souda P,Hermjakob H,Binz PA,Deutsch EW","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.R110.000133","created_at":"2021-09-30T08:26:25.225Z","updated_at":"2021-09-30T08:26:25.225Z"}],"licence_links":[],"grants":[{"id":5046,"fairsharing_record_id":83,"organisation_id":1291,"relation":"maintains","created_at":"2021-09-30T09:27:12.575Z","updated_at":"2021-09-30T09:27:12.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":1291,"name":"HUPO-PSI initiative; Quality Control working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5045,"fairsharing_record_id":83,"organisation_id":2471,"relation":"maintains","created_at":"2021-09-30T09:27:12.548Z","updated_at":"2021-09-30T09:27:12.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":2471,"name":"Ruhr-Universitat Bochum","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5047,"fairsharing_record_id":83,"organisation_id":2985,"relation":"maintains","created_at":"2021-09-30T09:27:12.611Z","updated_at":"2021-09-30T09:27:12.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":2985,"name":"Universite de Lyon, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5048,"fairsharing_record_id":83,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:27:12.721Z","updated_at":"2021-09-30T09:27:12.721Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"106","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.376Z","metadata":{"doi":"10.25504/FAIRsharing.t8g7yc","name":"Minimum Information About an RNAi Experiment Tabular","status":"ready","contacts":[{"contact_email":"p.ghazal@ed.ac.uk"}],"homepage":"http://miare.sourceforge.net/HomePage","identifier":106,"description":"Minimum Information About an RNAi Experiment Tabular (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","abbreviation":"MIARE-TAB","support_links":[{"url":"https://sourceforge.net/p/miare/mailman/","type":"Mailing list"},{"url":"http://miare.sourceforge.net/HomePage#current%20documents","type":"Help documentation"}],"year_creation":2006},"legacy_ids":["bsg-000188","bsg-s000188"],"name":"FAIRsharing record for: Minimum Information About an RNAi Experiment Tabular","abbreviation":"MIARE-TAB","url":"https://fairsharing.org/10.25504/FAIRsharing.t8g7yc","doi":"10.25504/FAIRsharing.t8g7yc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Minimum Information About an RNAi Experiment Tabular (MIARE) is a set of reporting guidelines that describes the minimum information that should be reported about an RNAi experiment to enable the unambiguous interpretation and reproduction of the results. MIARE forms part of a larger effort to develop RNAi data standards that include a data model, data exchange format, controlled vocabulary and supporting software tools.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11998},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12434}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Functional Genomics","Life Science"],"domains":["Annotation","RNA interference","Assay","Small interfering RNA","Gene","Short Hairpin RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1678,"pubmed_id":16847461,"title":"Standards for systems biology.","year":2006,"url":"http://doi.org/10.1038/nrg1922","authors":"Brazma A,Krestyaninova M,Sarkans U","journal":"Nat Rev Genet","doi":"10.1038/nrg1922","created_at":"2021-09-30T08:25:27.979Z","updated_at":"2021-09-30T08:25:27.979Z"},{"id":1689,"pubmed_id":19765810,"title":"A genome-wide RNAi screen for modifiers of the circadian clock in human cells.","year":2009,"url":"http://doi.org/10.1016/j.cell.2009.08.031","authors":"Zhang EE,Liu AC,Hirota T,Miraglia LJ,Welch G,Pongsawakul PY,Liu X,Atwood A,Huss JW 3rd,Janes J,Su AI,Hogenesch JB,Kay SA","journal":"Cell","doi":"10.1016/j.cell.2009.08.031","created_at":"2021-09-30T08:25:29.296Z","updated_at":"2021-09-30T08:25:29.296Z"}],"licence_links":[],"grants":[{"id":5096,"fairsharing_record_id":106,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:14.676Z","updated_at":"2021-09-30T09:27:14.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5095,"fairsharing_record_id":106,"organisation_id":1848,"relation":"maintains","created_at":"2021-09-30T09:27:14.645Z","updated_at":"2021-09-30T09:27:14.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":1848,"name":"Minimum Information About an RNAi Experiment (MIARE) informatics working group","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"107","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:16:24.434Z","metadata":{"doi":"10.25504/FAIRsharing.k5ky44","name":"TDWG Standards Documentation Specification","status":"in_development","contacts":[{"contact_name":"Steve Baskauf","contact_email":"steve.baskauf@vanderbilt.edu","contact_orcid":"0000-0003-4365-3135"}],"homepage":"https://www.tdwg.org/standards/sds/","identifier":107,"description":"This document defines how TDWG standards should be presented. Each standard is a logical directory or folder containing two or more files - a cover page outlining basic meta data for the standard and one or more normative files specifying the standard itself. Rules are specified for the naming of standards and files. Human readable files should be in English, follow basic layout principles and be marked up in XHTML. The legal statements that all documents must contain are defined.","abbreviation":"TDWG SDS","support_links":[{"url":"https://github.com/tdwg/vocab","type":"Github"},{"url":"https://github.com/tdwg/vocab/tree/master/sds","name":"Github","type":"Github"}],"year_creation":2015},"legacy_ids":["bsg-000201","bsg-s000201"],"name":"FAIRsharing record for: TDWG Standards Documentation Specification","abbreviation":"TDWG SDS","url":"https://fairsharing.org/10.25504/FAIRsharing.k5ky44","doi":"10.25504/FAIRsharing.k5ky44","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This document defines how TDWG standards should be presented. Each standard is a logical directory or folder containing two or more files - a cover page outlining basic meta data for the standard and one or more normative files specifying the standard itself. Rules are specified for the naming of standards and files. Human readable files should be in English, follow basic layout principles and be marked up in XHTML. The legal statements that all documents must contain are defined.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11992},{"linking_record_name":"Biodiversity Information Standards (TDWG)","linking_record_id":3537,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12268}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1070,"relation":"undefined"}],"grants":[{"id":5097,"fairsharing_record_id":107,"organisation_id":2712,"relation":"maintains","created_at":"2021-09-30T09:27:14.705Z","updated_at":"2021-09-30T09:27:14.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Subgroup","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"108","type":"fairsharing_records","attributes":{"created_at":"2015-02-20T22:17:24.000Z","updated_at":"2021-11-24T13:15:37.432Z","metadata":{"doi":"10.25504/FAIRsharing.r0r2wd","name":"Root System Markup Language","status":"ready","contacts":[{"contact_name":"Xavier Draye","contact_email":"xavier.draye@uclouvain.be","contact_orcid":"0000-0002-3637-3330"}],"homepage":"http://rootsystemml.github.io/","identifier":108,"description":"RSML follows the XML standard to store 2D or 3D image metadata, plant and root properties and geometries, continuous functions along individual root paths and a suite of annotations at the image, plant or root scales, at one or several time points. Plant ontologies are used to describe botanical entities that are relevant at the scale of root system architecture. An xml-schema describes the features and constraints of RSML and open-source packages have been developed in several languages (R, Excel, Java, Python, C#) to enable researchers to integrate RSML files into popular research workflow.","abbreviation":"RSML","support_links":[{"url":"http://rootsystemml.github.io/examples/","type":"Github"}]},"legacy_ids":["bsg-000581","bsg-s000581"],"name":"FAIRsharing record for: Root System Markup Language","abbreviation":"RSML","url":"https://fairsharing.org/10.25504/FAIRsharing.r0r2wd","doi":"10.25504/FAIRsharing.r0r2wd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RSML follows the XML standard to store 2D or 3D image metadata, plant and root properties and geometries, continuous functions along individual root paths and a suite of annotations at the image, plant or root scales, at one or several time points. Plant ontologies are used to describe botanical entities that are relevant at the scale of root system architecture. An xml-schema describes the features and constraints of RSML and open-source packages have been developed in several languages (R, Excel, Java, Python, C#) to enable researchers to integrate RSML files into popular research workflow.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science","Plant Anatomy"],"domains":["Root"],"taxonomies":["Plantae"],"user_defined_tags":["Metadata standardization"],"countries":["Austria","Belgium","France","Germany","United Kingdom"],"publications":[{"id":1652,"pubmed_id":25614065,"title":"Root system markup language: toward a unified root architecture description language.","year":2015,"url":"http://doi.org/10.1104/pp.114.253625","authors":"Lobet G,Pound MP,Diener J,Pradal C,Draye X,Godin C,Javaux M,Leitner D,Meunier F,Nacry P,Pridmore TP,Schnepf A","journal":"Plant Physiol","doi":"10.1104/pp.114.253625","created_at":"2021-09-30T08:25:25.080Z","updated_at":"2021-09-30T08:25:25.080Z"}],"licence_links":[],"grants":[{"id":5099,"fairsharing_record_id":108,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:27:14.840Z","updated_at":"2021-09-30T09:29:56.028Z","grant_id":475,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR–11–BSV6–0018","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5098,"fairsharing_record_id":108,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:27:14.734Z","updated_at":"2021-09-30T09:30:31.799Z","grant_id":749,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","grant":"P7/29","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"109","type":"fairsharing_records","attributes":{"created_at":"2019-08-21T02:34:58.000Z","updated_at":"2022-07-20T11:03:56.546Z","metadata":{"doi":"10.25504/FAIRsharing.eMSVvJ","name":"Hourly Global Ionospheric Maps","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ac@ionosphere.cn"}],"homepage":"http://ionosphere.cn","identifier":109,"description":"Near real-time modeling of global ionospheric total electron content by using the hourly IGS data.","abbreviation":"Hourly GIMs","support_links":[{"url":"acheng@buaa.edu.cn","name":"Cheng Wang","type":"Support email"}],"year_creation":2018,"associated_tools":[{"url":"http://ionosphere.cn/page/inx_editor","name":"INX Editor 1.2"}]},"legacy_ids":["bsg-001389","bsg-s001389"],"name":"FAIRsharing record for: Hourly Global Ionospheric Maps","abbreviation":"Hourly GIMs","url":"https://fairsharing.org/10.25504/FAIRsharing.eMSVvJ","doi":"10.25504/FAIRsharing.eMSVvJ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Near real-time modeling of global ionospheric total electron content by using the hourly IGS data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Atmospheric Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["ionosphere"],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":5101,"fairsharing_record_id":109,"organisation_id":188,"relation":"maintains","created_at":"2021-09-30T09:27:14.922Z","updated_at":"2021-09-30T09:27:14.922Z","grant_id":null,"is_lead":true,"saved_state":{"id":188,"name":"Beihang University, Beihang, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":5100,"fairsharing_record_id":109,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:27:14.881Z","updated_at":"2021-09-30T09:30:13.153Z","grant_id":604,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"41804026","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"110","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.461Z","metadata":{"doi":"10.25504/FAIRsharing.72e4we","name":"Chain Format for pairwise alignment","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/chain.html","identifier":110,"description":"The chain format describes a pairwise alignment that allow gaps in both sequences simultaneously. Each set of chain alignments starts with a header line, contains one or more alignment data lines, and terminates with a blank line. The format is deliberately quite dense.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000221","bsg-s000221"],"name":"FAIRsharing record for: Chain Format for pairwise alignment","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.72e4we","doi":"10.25504/FAIRsharing.72e4we","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The chain format describes a pairwise alignment that allow gaps in both sequences simultaneously. Each set of chain alignments starts with a header line, contains one or more alignment data lines, and terminates with a blank line. The format is deliberately quite dense.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"111","type":"fairsharing_records","attributes":{"created_at":"2015-05-11T07:17:12.000Z","updated_at":"2024-02-27T11:54:31.543Z","metadata":{"doi":"10.25504/FAIRsharing.v8nve2","name":"Joint Committee on Atomic and Molecular Physical data - working group on Data eXchange","status":"ready","contacts":[{"contact_name":"Tony Davies","contact_email":"tony.davies@waters.com"}],"homepage":"http://jcamp-dx.org/","citations":[],"identifier":111,"description":"JCAMP-DX is used for exchanging moderate numbers of spectra. JCAMP-DX was one of the earliest specifications providing a standard file format for data exchange in mass spectrometry. It was initially developed for infrared spectrometry and related chemical and physical information between spectrometer data systems of different manufacture. It was also used later for nuclear magnetic resonance spectroscopy. JCAMP-DX is an ASCII based format and includes standards for file compression. All data are stored as labeled fields of variable length using printable ASCII characters. JCAMP-DX was found impractical for today's large MS data sets, but it is still used for exchanging moderate numbers of spectra. IUPAC is currently in charge of its maintenance and the latest protocol is from 2005.","abbreviation":"JCAMP-DX","support_links":[],"year_creation":1988},"legacy_ids":["bsg-000590","bsg-s000590"],"name":"FAIRsharing record for: Joint Committee on Atomic and Molecular Physical data - working group on Data eXchange","abbreviation":"JCAMP-DX","url":"https://fairsharing.org/10.25504/FAIRsharing.v8nve2","doi":"10.25504/FAIRsharing.v8nve2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: JCAMP-DX is used for exchanging moderate numbers of spectra. JCAMP-DX was one of the earliest specifications providing a standard file format for data exchange in mass spectrometry. It was initially developed for infrared spectrometry and related chemical and physical information between spectrometer data systems of different manufacture. It was also used later for nuclear magnetic resonance spectroscopy. JCAMP-DX is an ASCII based format and includes standards for file compression. All data are stored as labeled fields of variable length using printable ASCII characters. JCAMP-DX was found impractical for today's large MS data sets, but it is still used for exchanging moderate numbers of spectra. IUPAC is currently in charge of its maintenance and the latest protocol is from 2005.","linked_records":[],"linking_records":[{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10915},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11035},{"linking_record_name":"Semantic Assets for Materials Science","linking_record_id":3512,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11310},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11728}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Mass spectrum","Spectroscopy","Infared spectroscopy"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":726,"pubmed_id":null,"title":"JCAMP-DX: A Standard Form for Exchange of Infrared Spectra in Computer Readable Form","year":1988,"url":"http://doi.org/10.1366%2F0003702884428734","authors":"McDonald, Robert S.; Wilks, Paul A.","journal":"Applied Spectroscopy","doi":"10.1366%2F0003702884428734","created_at":"2021-09-30T08:23:40.015Z","updated_at":"2021-09-30T08:23:40.015Z"}],"licence_links":[],"grants":[{"id":5102,"fairsharing_record_id":111,"organisation_id":1537,"relation":"funds","created_at":"2021-09-30T09:27:14.961Z","updated_at":"2021-09-30T09:27:14.961Z","grant_id":null,"is_lead":false,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":11424,"fairsharing_record_id":111,"organisation_id":4290,"relation":"maintains","created_at":"2024-02-27T11:50:00.177Z","updated_at":"2024-02-27T11:50:00.177Z","grant_id":null,"is_lead":true,"saved_state":{"id":4290,"name":"IUPAC CPEP Subcommittee on Electronic Data Standards","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11425,"fairsharing_record_id":111,"organisation_id":1537,"relation":"maintains","created_at":"2024-02-27T11:50:00.177Z","updated_at":"2024-02-27T11:50:00.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"125","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-14T08:52:56.556Z","metadata":{"doi":"10.25504/FAIRsharing.cfzz0h","name":"Variant Call Format","status":"ready","contacts":[{"contact_name":"Reggan Thomas","contact_email":"reggan.thomas@ga4gh.org","contact_orcid":"0000-0002-1803-444X"}],"homepage":"https://www.ga4gh.org/product/genetic-variation-formats-vcf/","citations":[{"doi":"10.12688/f1000research.109080.2","pubmed_id":null,"publication_id":4065}],"identifier":125,"description":"Variant Call Format (VCF) is a text file format (most likely stored in a compressed manner). It contains meta-information lines, a header line, and then data lines each containing information about a position in the genome.","abbreviation":"VCF","support_links":[{"url":"https://samtools.github.io/hts-specs/","type":"Github"}]},"legacy_ids":["bsg-000270","bsg-s000270"],"name":"FAIRsharing record for: Variant Call Format","abbreviation":"VCF","url":"https://fairsharing.org/10.25504/FAIRsharing.cfzz0h","doi":"10.25504/FAIRsharing.cfzz0h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Variant Call Format (VCF) is a text file format (most likely stored in a compressed manner). It contains meta-information lines, a header line, and then data lines each containing information about a position in the genome.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18273},{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10999},{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11277},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11614},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11863},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12011},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12446},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16925}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Sequence position","Deoxyribonucleic acid","Genome","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":4065,"pubmed_id":null,"title":"Recommendations for the formatting of Variant Call Format (VCF) files to make plant genotyping data FAIR","year":2022,"url":"http://dx.doi.org/10.12688/f1000research.109080.2","authors":"Beier, Sebastian; Fiebig, Anne; Pommier, Cyril; Liyanage, Isuru; Lange, Matthias; Kersey, Paul J.; Weise, Stephan; Finkers, Richard; Koylass, Baron; Cezard, Timothee; Courtot, Mélanie; Contreras-Moreira, Bruno; Naamati, Guy; Dyer, Sarah; Scholz, Uwe; ","journal":"F1000Res","doi":"10.12688/f1000research.109080.2","created_at":"2023-12-13T16:39:34.815Z","updated_at":"2023-12-13T16:39:34.815Z"}],"licence_links":[],"grants":[{"id":5126,"fairsharing_record_id":125,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:15.999Z","updated_at":"2021-09-30T09:32:45.837Z","grant_id":1767,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"WT104947/Z/14/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":10883,"fairsharing_record_id":125,"organisation_id":116,"relation":"maintains","created_at":"2023-09-22T08:42:20.392Z","updated_at":"2023-09-22T08:42:20.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":116,"name":"Global Alliance for Genomics and Health","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"127","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.254Z","metadata":{"doi":"10.25504/FAIRsharing.4da1jx","name":"microarray track data Browser Extensible Data Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genomewiki.ucsc.edu/index.php/Microarray_track","identifier":127,"description":"The microarray track data Browser Extensible Data Format displays configuration files for microarray annotation tracks displayed on the UCSC Genome Browser.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Help documentation"}]},"legacy_ids":["bsg-000243","bsg-s000243"],"name":"FAIRsharing record for: microarray track data Browser Extensible Data Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4da1jx","doi":"10.25504/FAIRsharing.4da1jx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The microarray track data Browser Extensible Data Format displays configuration files for microarray annotation tracks displayed on the UCSC Genome Browser.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12432}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Expression data"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5128,"fairsharing_record_id":127,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.074Z","updated_at":"2021-09-30T09:27:16.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"128","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-17T07:48:30.001Z","metadata":{"doi":"10.25504/FAIRsharing.evxcfb","name":"net alignment annotation Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/net.html","citations":[],"identifier":128,"description":"The net file format is used to describe the axtNet data that underlie the net alignment annotations in the Genome Browser.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000249","bsg-s000249"],"name":"FAIRsharing record for: net alignment annotation Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.evxcfb","doi":"10.25504/FAIRsharing.evxcfb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The net file format is used to describe the axtNet data that underlie the net alignment annotations in the Genome Browser.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics"],"domains":["Deoxyribonucleic acid","Sequence alignment","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5129,"fairsharing_record_id":128,"organisation_id":3037,"relation":"undefined","created_at":"2021-09-30T09:27:16.115Z","updated_at":"2021-09-30T09:27:16.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":3037,"name":"University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":5130,"fairsharing_record_id":128,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.157Z","updated_at":"2021-09-30T09:27:16.157Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"129","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:27.000Z","updated_at":"2021-12-10T14:53:36.539Z","metadata":{"doi":"10.25504/FAIRsharing.1xr6v0","name":"Surgical Secondary Events","status":"deprecated","contacts":[{"contact_name":"Hugh McGowan","contact_email":"surse@mskcc.org"},{"contact_name":"General Contact","contact_email":"surse@mskcc.org","contact_orcid":null}],"homepage":"http://www.mskcc.org/sse","citations":[],"identifier":129,"description":"Memorial Sloan-Kettering Cancer Center Surgical Secondary Events Ontology (Adverse Events)","abbreviation":"SSE","year_creation":2013,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/SSE","name":"SSE","portal":"BioPortal"}],"deprecation_date":"2021-12-08","deprecation_reason":"This resource is no longer available at the stated homepage, and we cannot find an updated homepage. Please get in touch with us if you have any information regarding this resource."},"legacy_ids":["bsg-000821","bsg-s000821"],"name":"FAIRsharing record for: Surgical Secondary Events","abbreviation":"SSE","url":"https://fairsharing.org/10.25504/FAIRsharing.1xr6v0","doi":"10.25504/FAIRsharing.1xr6v0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Memorial Sloan-Kettering Cancer Center Surgical Secondary Events Ontology (Adverse Events)","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Surgery"],"domains":["Adverse Reaction"],"taxonomies":["All"],"user_defined_tags":["Adverse outcome pathways"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"130","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2021-11-24T13:14:15.014Z","metadata":{"doi":"10.25504/FAIRsharing.ddmatg","name":"Ontology of Drug Neuropathy Adverse Events","status":"ready","contacts":[{"contact_name":"Yongqhun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"https://github.com/odnae/odnae","identifier":130,"description":"The Ontology of Drug Neuropathy Adverse Events (ODNAE) is an extension of OAE which serves as a knowledge base comprising drug components, chemical entities of active drug ingredients, drug mechanisms, and drug-inducing neuropathy AEs. ODNAE is a platform for building a drug-induced neuropathy knowledge base and for analyzing the underlying mechanisms of drug-induced neuropathy. The ODNAE-based methods used in this study can also be extended to the representation and study of other categories of adverse events.","abbreviation":"ODNAE","year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/ODNAE","name":"ODNAE","portal":"BioPortal"}]},"legacy_ids":["bsg-000939","bsg-s000939"],"name":"FAIRsharing record for: Ontology of Drug Neuropathy Adverse Events","abbreviation":"ODNAE","url":"https://fairsharing.org/10.25504/FAIRsharing.ddmatg","doi":"10.25504/FAIRsharing.ddmatg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology of Drug Neuropathy Adverse Events (ODNAE) is an extension of OAE which serves as a knowledge base comprising drug components, chemical entities of active drug ingredients, drug mechanisms, and drug-inducing neuropathy AEs. ODNAE is a platform for building a drug-induced neuropathy knowledge base and for analyzing the underlying mechanisms of drug-induced neuropathy. The ODNAE-based methods used in this study can also be extended to the representation and study of other categories of adverse events.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Biomedical Science"],"domains":["Adverse Reaction","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2211,"pubmed_id":27213033,"title":"Ontology-based collection, representation and analysis of drug-associated neuropathy adverse events.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0069-x","authors":"Guo A,Racz R,Hur J,Lin Y,Xiang Z,Zhao L,Rinder J,Jiang G,Zhu Q,He Y","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0069-x","created_at":"2021-09-30T08:26:29.215Z","updated_at":"2021-09-30T08:26:29.215Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":617,"relation":"undefined"}],"grants":[{"id":5131,"fairsharing_record_id":130,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:16.195Z","updated_at":"2021-09-30T09:27:16.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5133,"fairsharing_record_id":130,"organisation_id":2514,"relation":"maintains","created_at":"2021-09-30T09:27:16.274Z","updated_at":"2021-09-30T09:27:16.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":2514,"name":"School of Medicine and Health Sciences, University of North Dakota, Grand Forks, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5132,"fairsharing_record_id":130,"organisation_id":1798,"relation":"maintains","created_at":"2021-09-30T09:27:16.232Z","updated_at":"2021-09-30T09:27:16.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1798,"name":"Mayo Clinic, Rochester, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5134,"fairsharing_record_id":130,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:27:16.316Z","updated_at":"2021-09-30T09:27:16.316Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5135,"fairsharing_record_id":130,"organisation_id":3094,"relation":"maintains","created_at":"2021-09-30T09:27:16.353Z","updated_at":"2021-09-30T09:27:16.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":3094,"name":"University of Michigan Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"131","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.322Z","metadata":{"doi":"10.25504/FAIRsharing.wkh9j2","name":"nucleotide inFormation binary Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format8","identifier":131,"description":"The .nib format pre-dates the .2bit format and is less compact. It describes a DNA sequence by packing two bases into each byte.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000253","bsg-s000253"],"name":"FAIRsharing record for: nucleotide inFormation binary Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.wkh9j2","doi":"10.25504/FAIRsharing.wkh9j2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The .nib format pre-dates the .2bit format and is less compact. It describes a DNA sequence by packing two bases into each byte.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5136,"fairsharing_record_id":131,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.386Z","updated_at":"2021-09-30T09:27:16.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"132","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.386Z","metadata":{"doi":"10.25504/FAIRsharing.gnga3t","name":"Personal Genome SNP Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/FAQ/FAQformat.html#format10","identifier":132,"description":"This format is for displaying SNPs from personal genomes. It is the same as is used for the Genome Variants and Population Variants tracks.","abbreviation":null,"support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"}]},"legacy_ids":["bsg-000256","bsg-s000256"],"name":"FAIRsharing record for: Personal Genome SNP Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.gnga3t","doi":"10.25504/FAIRsharing.gnga3t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This format is for displaying SNPs from personal genomes. It is the same as is used for the Genome Variants and Population Variants tracks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Genotyping","Deoxyribonucleic acid","Genotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5137,"fairsharing_record_id":132,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:16.409Z","updated_at":"2021-09-30T09:27:16.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"133","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.456Z","metadata":{"doi":"10.25504/FAIRsharing.m5swgj","name":"Protein InFormation Resource Format","status":"ready","contacts":[{"contact_name":"PIR staff","contact_email":"pirmail@georgetown.edu"}],"homepage":"http://emboss.sourceforge.net/docs/themes/seqformats/NbrfFormat.html","identifier":133,"description":"This PIR Database File Structure and Format Specification describes the files comprising the PIR-International Protein Sequence Database and the format of each. The format has been enhanced significantly for Release 39.00 to what is referred to as \"enhanced NBRF\" format.","abbreviation":"PIFRF","year_creation":1993},"legacy_ids":["bsg-000257","bsg-s000257"],"name":"FAIRsharing record for: Protein InFormation Resource Format","abbreviation":"PIFRF","url":"https://fairsharing.org/10.25504/FAIRsharing.m5swgj","doi":"10.25504/FAIRsharing.m5swgj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This PIR Database File Structure and Format Specification describes the files comprising the PIR-International Protein Sequence Database and the format of each. The format has been enhanced significantly for Release 39.00 to what is referred to as \"enhanced NBRF\" format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Japan","United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"134","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-04-07T08:24:42.547Z","metadata":{"doi":"10.25504/FAIRsharing.dxcrbg","name":"eXtensible Graph Markup and Modeling Language","status":"deprecated","contacts":[],"homepage":"http://www.cs.rpi.edu/research/groups/pb/punin/public_html/XGMML/","citations":[],"identifier":134,"description":"XGMML (eXtensible Graph Markup and Modeling Language) is an XML application based on GML which is used for graph description. XGMML uses tags to describe nodes and edges of a graph. The purpose of XGMML is to make possible the exchange of graphs between differents authoring and browsing tools for graphs. The status of this format is uncertain as the homepage is no longer accessible.","abbreviation":null,"support_links":[{"url":"info@cs.rpi.edu","type":"Support email"},{"url":"moorthy@cs.rpi.edu","type":"Support email"},{"url":"https://en.wikipedia.org/wiki/XGMML","type":"Wikipedia"}],"year_creation":2000,"deprecation_date":"2023-04-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Archives are accessible here: https://web.archive.org/web/20140329092403/http://cgi5.cs.rpi.edu/research/groups/pb/punin/public_html/XGMML/. Please get in touch if you have any information."},"legacy_ids":["bsg-000272","bsg-s000272"],"name":"FAIRsharing record for: eXtensible Graph Markup and Modeling Language","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.dxcrbg","doi":"10.25504/FAIRsharing.dxcrbg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XGMML (eXtensible Graph Markup and Modeling Language) is an XML application based on GML which is used for graph description. XGMML uses tags to describe nodes and edges of a graph. The purpose of XGMML is to make possible the exchange of graphs between differents authoring and browsing tools for graphs. The status of this format is uncertain as the homepage is no longer accessible.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Mathematical model","Network model","Graph","Enzymatic reaction","Protein","Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5139,"fairsharing_record_id":134,"organisation_id":590,"relation":"maintains","created_at":"2021-09-30T09:27:16.463Z","updated_at":"2021-09-30T09:27:16.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":590,"name":"Computer Science Department, Rensselaer Polytechnic Institute, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"135","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:36.415Z","metadata":{"doi":"10.25504/FAIRsharing.chmyvk","name":"BLAST-like Alignment Tool Format","status":"ready","contacts":[{"contact_name":"W James Kent","contact_email":"kent@biology.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html#BLATAlign","identifier":135,"description":"BLAT is a multiple algorithms developed for the analysis and comparison of biological sequences such as DNA, RNA and proteins.","abbreviation":"BLAT Format","support_links":[{"url":"http://genome.ucsc.edu/FAQ/FAQblat.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://genome.ucsc.edu/FAQ/FAQblat.html#blat3","type":"Help documentation"}],"year_creation":2001},"legacy_ids":["bsg-000259","bsg-s000259"],"name":"FAIRsharing record for: BLAST-like Alignment Tool Format","abbreviation":"BLAT Format","url":"https://fairsharing.org/10.25504/FAIRsharing.chmyvk","doi":"10.25504/FAIRsharing.chmyvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BLAT is a multiple algorithms developed for the analysis and comparison of biological sequences such as DNA, RNA and proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genetics","Computational Biology","Life Science"],"domains":["Deoxyribonucleic acid","Sequence alignment","Protein","Messenger RNA"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":203,"pubmed_id":11932250,"title":"BLAT--the BLAST-like alignment tool.","year":2002,"url":"http://doi.org/10.1101/gr.229202","authors":"Kent WJ.,","journal":"Genome Res.","doi":"10.1101/gr.229202","created_at":"2021-09-30T08:22:42.164Z","updated_at":"2021-09-30T08:22:42.164Z"}],"licence_links":[{"licence_name":"Kent Informatics License - required for commercial use","licence_id":478,"licence_url":"http://www.kentinformatics.com","link_id":20,"relation":"undefined"}],"grants":[{"id":5140,"fairsharing_record_id":135,"organisation_id":1118,"relation":"maintains","created_at":"2021-09-30T09:27:16.550Z","updated_at":"2021-09-30T09:27:16.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":1118,"name":"Genomics Institute, University of California, Santa Cruz, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"136","type":"fairsharing_records","attributes":{"created_at":"2018-08-21T19:33:12.000Z","updated_at":"2022-07-20T12:46:55.151Z","metadata":{"name":"Extensible HyperText Markup Language","status":"deprecated","contacts":[{"contact_name":"Steven Pemberton","contact_email":"Steven.Pemberton@cwi.nl"}],"homepage":"http://www.w3.org/TR/xhtml1","identifier":136,"description":"This specification defines the Second Edition of XHTML 1.0, a reformulation of HTML 4 as an XML 1.0 application, and three DTDs corresponding to the ones defined by HTML 4. The semantics of the elements and their attributes are defined in the W3C Recommendation for HTML 4. It is intended to be used as a language for content that is both XML-conforming and, if some simple guidelines are followed, operates in HTML 4 conforming user agents.","abbreviation":"XHTML","year_creation":2000,"deprecation_date":"2019-02-18","deprecation_reason":"This specification is a Superseded Recommendation. A newer specification exists that is recommended for new adoption in place of this specification."},"legacy_ids":["bsg-001242","bsg-s001242"],"name":"FAIRsharing record for: Extensible HyperText Markup Language","abbreviation":"XHTML","url":"https://fairsharing.org/fairsharing_records/136","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This specification defines the Second Edition of XHTML 1.0, a reformulation of HTML 4 as an XML 1.0 application, and three DTDs corresponding to the ones defined by HTML 4. The semantics of the elements and their attributes are defined in the W3C Recommendation for HTML 4. It is intended to be used as a language for content that is both XML-conforming and, if some simple guidelines are followed, operates in HTML 4 conforming user agents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":["Data transformation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"W3C Document License","licence_id":848,"licence_url":"https://www.w3.org/Consortium/Legal/2015/doc-license","link_id":129,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"101","type":"fairsharing_records","attributes":{"created_at":"2019-11-28T13:17:21.000Z","updated_at":"2022-10-10T19:32:33.579Z","metadata":{"doi":"10.25504/FAIRsharing.TrcBD2","name":"Chemistry vocabulary","status":"ready","contacts":[{"contact_name":"loterre","contact_email":"contact-terminologietal@inist.fr"}],"homepage":"https://www.loterre.fr/skosmos/37T/en/","citations":[],"identifier":101,"description":"Controlled vocabulary used for indexing bibliographical records dealing with chemistry in the PASCAL database (1972-2015). It is aligned with the terms of the ChEBI (Chemical Entities of Biological Interest), RXNO (name reaction ontology), MOP (molecular process ontology), REX (Physico-chemical process), FIX (Physico-chemical methods and properties), ontologies and the terms of the IUPAC Gold Book. This resource contains 9150 entries in 2 languages (English and French) grouped under 21 collections.","abbreviation":null,"year_creation":1972},"legacy_ids":["bsg-001411","bsg-s001411"],"name":"FAIRsharing record for: Chemistry vocabulary","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.TrcBD2","doi":"10.25504/FAIRsharing.TrcBD2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Controlled vocabulary used for indexing bibliographical records dealing with chemistry in the PASCAL database (1972-2015). It is aligned with the terms of the ChEBI (Chemical Entities of Biological Interest), RXNO (name reaction ontology), MOP (molecular process ontology), REX (Physico-chemical process), FIX (Physico-chemical methods and properties), ontologies and the terms of the IUPAC Gold Book. This resource contains 9150 entries in 2 languages (English and French) grouped under 21 collections.","linked_records":[],"linking_records":[{"linking_record_name":"Loterre (Linked open terminology resources)","linking_record_id":3511,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11292},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11741}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Organic Chemistry","Inorganic Molecular Chemistry","Organic Molecular Chemistry","Molecular Chemistry","Chemistry","Molecular Physical Chemistry","Theoretical Chemistry","Solid-State Chemistry","Physical Chemistry","Analytical Chemistry","Computational Chemistry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":196,"relation":"undefined"}],"grants":[{"id":5088,"fairsharing_record_id":101,"organisation_id":1351,"relation":"maintains","created_at":"2021-09-30T09:27:14.314Z","updated_at":"2021-09-30T09:27:14.314Z","grant_id":null,"is_lead":true,"saved_state":{"id":1351,"name":"Inist-CNRS, Vandoeuvre-les-Nancy, France","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":5087,"fairsharing_record_id":101,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:27:14.273Z","updated_at":"2021-09-30T09:27:14.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"102","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:14.856Z","metadata":{"doi":"10.25504/FAIRsharing.zcfp65","name":"Biomedical Resource Ontology","status":"uncertain","contacts":[{"contact_name":"Jessie Tenenbaum","contact_email":"jessie.tenenbaum@duke.edu"}],"homepage":"http://bioportal.bioontology.org/ontologies/BRO","identifier":102,"description":"Biomedical Resource Ontology (BRO) enables semantic annotation and discovery of biomedical resources. The biomedical research community relies on a diverse set of resources, both within their own institutions and at other research centers. Without effective means to locate and query these resources, it is challenging, if not impossible, for investigators to be aware of the myriad resources available, or to effectively perform resource discovery when the need arises.","abbreviation":"BRO","support_links":[{"url":"http://groups.google.com/group/bro-discuss","type":"Forum"},{"url":"http://na-mic.org/Wiki/index.php/Biositemaps","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/BRO","name":"BRO","portal":"BioPortal"}]},"legacy_ids":["bsg-000047","bsg-s000047"],"name":"FAIRsharing record for: Biomedical Resource Ontology","abbreviation":"BRO","url":"https://fairsharing.org/10.25504/FAIRsharing.zcfp65","doi":"10.25504/FAIRsharing.zcfp65","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biomedical Resource Ontology (BRO) enables semantic annotation and discovery of biomedical resources. The biomedical research community relies on a diverse set of resources, both within their own institutions and at other research centers. Without effective means to locate and query these resources, it is challenging, if not impossible, for investigators to be aware of the myriad resources available, or to effectively perform resource discovery when the need arises.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Health Science","Social and Behavioural Science","Biomedical Science"],"domains":["Resource metadata"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1505,"pubmed_id":20955817,"title":"The Biomedical Resource Ontology (BRO) to enable resource discovery in clinical and translational research.","year":2010,"url":"http://doi.org/10.1016/j.jbi.2010.10.003","authors":"Tenenbaum JD,Whetzel PL,Anderson K,Borromeo CD,Dinov ID,Gabriel D,Kirschner B,Mirel B,Morris T,Noy N,Nyulas C,Rubenson D,Saxman PR,Singh H,Whelan N,Wright Z,Athey BD,Becich MJ,Ginsburg GS,Musen MA,Smith KA,Tarantal AF,Rubin DL,Lyster P","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2010.10.003","created_at":"2021-09-30T08:25:08.487Z","updated_at":"2021-09-30T08:25:08.487Z"}],"licence_links":[],"grants":[{"id":5089,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:27:14.399Z","updated_at":"2021-09-30T09:29:09.536Z","grant_id":118,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR024146-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5090,"fairsharing_record_id":102,"organisation_id":1965,"relation":"funds","created_at":"2021-09-30T09:27:14.448Z","updated_at":"2021-09-30T09:29:17.001Z","grant_id":175,"is_lead":false,"saved_state":{"id":1965,"name":"National Center for Integrative Biomedical Informatics (NCBCS), Ann Arbor, MI, USA","grant":"3U54HG004028-04S1","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7880,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:29:23.330Z","updated_at":"2021-09-30T09:29:23.372Z","grant_id":226,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR024153-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7886,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:29:25.150Z","updated_at":"2021-09-30T09:29:25.203Z","grant_id":240,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"3UL1RR024153-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7996,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:30:18.235Z","updated_at":"2021-09-30T09:30:18.280Z","grant_id":646,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"5UL1RR024128-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8002,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:30:20.465Z","updated_at":"2021-09-30T09:30:20.509Z","grant_id":665,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR025008-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8272,"fairsharing_record_id":102,"organisation_id":539,"relation":"funds","created_at":"2021-09-30T09:31:51.674Z","updated_at":"2021-09-30T09:31:51.721Z","grant_id":1360,"is_lead":false,"saved_state":{"id":539,"name":"Clinical and Translational Science Awards (CTSA) Program, National Center for Advancing Translational Sciences (NCATS), Bethesda, MD, USA","grant":"1UL1RR024986-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8337,"fairsharing_record_id":102,"organisation_id":1965,"relation":"funds","created_at":"2021-09-30T09:32:09.574Z","updated_at":"2021-09-30T09:32:09.627Z","grant_id":1494,"is_lead":false,"saved_state":{"id":1965,"name":"National Center for Integrative Biomedical Informatics (NCBCS), Ann Arbor, MI, USA","grant":"3U54DA021519-04S1","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"103","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.261Z","metadata":{"doi":"10.25504/FAIRsharing.vc9xtj","name":"General Formal Ontology: Biology","status":"ready","contacts":[{"contact_name":"Magnus Knuth","contact_email":"magnus.knuth@imise.uni-leipzig.de"}],"homepage":"http://www.onto-med.de/ontologies/gfo-bio/index.jsp","identifier":103,"description":"GFO-Bio is a biological core ontology based on the top-level ontology General Formal Ontology (GFO).","abbreviation":"GFO-BIO","support_links":[{"url":"https://lists.gnu.org/mailman/listinfo/gfo-users","type":"Mailing list"},{"url":"http://www.onto-med.de/ontologies/gfo/index.jsp#pubs","type":"Help documentation"}],"year_creation":2006,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/GFO-BIO","name":"GFO-BIO","portal":"BioPortal"}]},"legacy_ids":["bsg-002658","bsg-s002658"],"name":"FAIRsharing record for: General Formal Ontology: Biology","abbreviation":"GFO-BIO","url":"https://fairsharing.org/10.25504/FAIRsharing.vc9xtj","doi":"10.25504/FAIRsharing.vc9xtj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GFO-Bio is a biological core ontology based on the top-level ontology General Formal Ontology (GFO).","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":5091,"fairsharing_record_id":103,"organisation_id":1781,"relation":"maintains","created_at":"2021-09-30T09:27:14.485Z","updated_at":"2021-09-30T09:27:14.485Z","grant_id":null,"is_lead":false,"saved_state":{"id":1781,"name":"Max Planck Institue for Evolutionary Anthropology, Leipzig, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5092,"fairsharing_record_id":103,"organisation_id":2250,"relation":"maintains","created_at":"2021-09-30T09:27:14.521Z","updated_at":"2021-09-30T09:27:14.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2250,"name":"Onto-Med Research Group, Universitat Leipzig, Leipzig, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"104","type":"fairsharing_records","attributes":{"created_at":"2017-07-31T16:28:23.000Z","updated_at":"2021-11-24T13:16:12.429Z","metadata":{"doi":"10.25504/FAIRsharing.6945dq","name":"Common European Research project Information Format","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"eurocris@eurocris.org"}],"homepage":"http://www.eurocris.org/cerif/main-features-cerif","identifier":104,"description":"This standard allows for a metadata representation of research entities, their activities and interconnections, along with their output. This is captured in highly flexible formal (semantic) relationships, and enables quality maintenance, archiving, access and interchange of research information, so supporting knowledge transfer to decision makers, for research evaluation, research managers, strategists, researchers, editors and the general public.","abbreviation":"CERIF","year_creation":1991},"legacy_ids":["bsg-000716","bsg-s000716"],"name":"FAIRsharing record for: Common European Research project Information Format","abbreviation":"CERIF","url":"https://fairsharing.org/10.25504/FAIRsharing.6945dq","doi":"10.25504/FAIRsharing.6945dq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This standard allows for a metadata representation of research entities, their activities and interconnections, along with their output. This is captured in highly flexible formal (semantic) relationships, and enables quality maintenance, archiving, access and interchange of research information, so supporting knowledge transfer to decision makers, for research evaluation, research managers, strategists, researchers, editors and the general public.","linked_records":[],"linking_records":[{"linking_record_name":"Crosswalk of most used metadata schemes and guidelines for metadata interoperability","linking_record_id":3543,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12942},{"linking_record_name":"Common Metadata Framework PROJECT","linking_record_id":3634,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13347}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Data Management","Natural Science"],"domains":["Workflow","Curated information"],"taxonomies":["Not applicable"],"user_defined_tags":["Metadata standardization","Researcher data"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":5093,"fairsharing_record_id":104,"organisation_id":902,"relation":"maintains","created_at":"2021-09-30T09:27:14.564Z","updated_at":"2021-09-30T09:27:14.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":902,"name":"EuroCRIS, Den Haag, the Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"105","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2021-11-24T13:15:37.357Z","metadata":{"doi":"10.25504/FAIRsharing.ca63ce","name":"Fern Ontology","status":"in_development","contacts":[{"contact_name":"Shuichi Kawashima","contact_email":"kwsm@dbcls.rois.ac.jp"}],"homepage":"http://bioportal.bioontology.org/ontologies/FO","identifier":105,"description":"Fern Ontology (FO) is a controlled and structured vocabulary of fern specific anatomy and lifecycle.","abbreviation":"FO","support_links":[{"url":"so@dbcls.rois.ac.jp","name":"Shinobu Okamoto","type":"Support email"},{"url":"akanegae@mail.ecc.u-tokyo.ac.jp","name":"Hiromi Kanegae","type":"Support email"}],"year_creation":2015,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FO","name":"FO","portal":"BioPortal"}]},"legacy_ids":["bsg-000937","bsg-s000937"],"name":"FAIRsharing record for: Fern Ontology","abbreviation":"FO","url":"https://fairsharing.org/10.25504/FAIRsharing.ca63ce","doi":"10.25504/FAIRsharing.ca63ce","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Fern Ontology (FO) is a controlled and structured vocabulary of fern specific anatomy and lifecycle.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Plant Anatomy","Plant Cell Biology"],"domains":["Plant development stage"],"taxonomies":["Polypodiopsida"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[{"id":5094,"fairsharing_record_id":105,"organisation_id":645,"relation":"maintains","created_at":"2021-09-30T09:27:14.606Z","updated_at":"2021-09-30T09:27:14.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":645,"name":"Database Center for Life Science (DBCLS), Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"121","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-10-31T09:35:03.134Z","metadata":{"doi":"10.25504/FAIRsharing.fd28en","name":"macromolecular Crystallographic Information File","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"pdbx-mmcif-help@mail.wwpdb.org"}],"homepage":"https://mmcif.wwpdb.org/","citations":[{"doi":"10.1016/s0076-6879(97)77032-0","pubmed_id":18488325,"publication_id":1706}],"identifier":121,"description":"PDBx/mmCIF is a dictionary of data archiving macromolecule crystallographic experiments and their results.","abbreviation":"PDBx/mmCIF","support_links":[{"url":"http://mmcif.wwpdb.org/docs/faqs/pdbx-mmcif-faq-general.html","name":"PDBx/mmCIF FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mmcif.wwpdb.org/docs/pdb_to_pdbx_correspondences.html","name":"PDB to PDBx/mmCIF Data Item Correspondences","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Macromolecular_Crystallographic_Information_File","name":"mmCIF Wiki","type":"Wikipedia"},{"url":"https://mmcif.wwpdb.org/docs/tutorials/mechanics/pdbx-mmcif-syntax.html","name":"mmCIF Syntax","type":"Help documentation"},{"url":"https://mmcif.wwpdb.org/dictionaries/mmcif_pdbx_v50.dic/Index/","name":"Current PDBx/mmCIF Dictionary Index (version 5.0)","type":"Help documentation"}],"year_creation":1997,"associated_tools":[{"url":"http://ich.vscht.cz/projects/mmview/","name":"mmView"},{"url":"https://mmcif.wwpdb.org/docs/software-resources.html","name":"PDBx/mmCIF Software Resources"}]},"legacy_ids":["bsg-000290","bsg-s000290"],"name":"FAIRsharing record for: macromolecular Crystallographic Information File","abbreviation":"PDBx/mmCIF","url":"https://fairsharing.org/10.25504/FAIRsharing.fd28en","doi":"10.25504/FAIRsharing.fd28en","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBx/mmCIF is a dictionary of data archiving macromolecule crystallographic experiments and their results.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18240},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11185},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12104}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Molecular biology","Life Science","Biology"],"domains":["Molecular structure","Molecular entity","X-ray crystallography assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":14,"pubmed_id":10842738,"title":"STAR/mmCIF: an ontology for macromolecular structure.","year":2000,"url":"http://doi.org/10.1093/bioinformatics/16.2.159","authors":"Westbrook JD, Bourne PE","journal":"Bioinformatics","doi":"10.1093/bioinformatics/16.2.159","created_at":"2021-09-30T08:22:21.987Z","updated_at":"2021-09-30T08:22:21.987Z"},{"id":1706,"pubmed_id":18488325,"title":"Macromolecular Crystallographic Information File.","year":1997,"url":"http://doi.org/10.1016/s0076-6879(97)77032-0","authors":"Bourne PE,Berman HM,McMahon B,Watenpaugh KD,Westbrook JD,Fitzgerald PM","journal":"Methods Enzymol","doi":"10.1016/s0076-6879(97)77032-0","created_at":"2021-09-30T08:25:31.179Z","updated_at":"2021-09-30T08:25:31.179Z"}],"licence_links":[],"grants":[{"id":11066,"fairsharing_record_id":121,"organisation_id":1534,"relation":"maintains","created_at":"2023-10-30T21:14:38.116Z","updated_at":"2023-10-30T21:14:38.116Z","grant_id":null,"is_lead":true,"saved_state":{"id":1534,"name":"International Union of Crystallography (IUCr), Chester, UK","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"122","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:25.603Z","metadata":{"doi":"10.25504/FAIRsharing.jx6ea0","name":"CLUSTAL-W Alignment Format","status":"ready","contacts":[{"contact_name":"Prof D.G. Higgins","contact_email":"des.higgins@ucd.ie"}],"homepage":"http://www.clustal.org/clustal2/","identifier":122,"description":"CLUSTAL-W Alignment Format is a simple text-based format, often with a *.aln file extension, used for the input and output of DNA or protein sequences into the Clustal suite of multiple alignment programs.","abbreviation":null,"support_links":[{"url":"clustalw@ucd.ie","name":"General Contact","type":"Support email"},{"url":"http://www.clustal.org/download/clustalw_help.txt","name":"ClustalW Help and Format","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/a-simple-phylogenetic-tree-construction-part-2","name":"A Simple Phylogenetic Tree Construction (part 2)","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/a-simple-phylogenetic-tree-construction-part-1","name":"A Simple Phylogenetic Tree Construction (part 1)","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/multiple-sequence-alignment-and-phylogeny-undergraduate-lab","name":"Multiple sequence alignment and phylogeny - undergraduate lab","type":"TeSS links to training materials"},{"url":"http://www.animalgenome.org/bioinfo/resources/manuals/clustalw.html","name":"Tutorial","type":"Training documentation"}],"year_creation":1993},"legacy_ids":["bsg-000223","bsg-s000223"],"name":"FAIRsharing record for: CLUSTAL-W Alignment Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.jx6ea0","doi":"10.25504/FAIRsharing.jx6ea0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CLUSTAL-W Alignment Format is a simple text-based format, often with a *.aln file extension, used for the input and output of DNA or protein sequences into the Clustal suite of multiple alignment programs.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14558}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Biology"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Sequence alignment","Sequence","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Ireland"],"publications":[{"id":1690,"pubmed_id":7984417,"title":"CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.","year":1994,"url":"http://doi.org/10.1093/nar/22.22.4673","authors":"Thompson JD,Higgins DG,Gibson TJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/22.22.4673","created_at":"2021-09-30T08:25:29.401Z","updated_at":"2021-09-30T11:29:18.511Z"},{"id":2758,"pubmed_id":17846036,"title":"Clustal W and Clustal X version 2.0.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm404","authors":"Larkin MA,Blackshields G,Brown NP,Chenna R,McGettigan PA,McWilliam H,Valentin F,Wallace IM,Wilm A,Lopez R,Thompson JD,Gibson TJ,Higgins DG","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm404","created_at":"2021-09-30T08:27:38.980Z","updated_at":"2021-09-30T08:27:38.980Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":488,"relation":"undefined"}],"grants":[{"id":5122,"fairsharing_record_id":122,"organisation_id":2520,"relation":"maintains","created_at":"2021-09-30T09:27:15.802Z","updated_at":"2021-09-30T09:27:15.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":2520,"name":"Science Foundation Ireland","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5120,"fairsharing_record_id":122,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:15.733Z","updated_at":"2021-09-30T09:27:15.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5121,"fairsharing_record_id":122,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:27:15.769Z","updated_at":"2021-09-30T09:27:15.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5123,"fairsharing_record_id":122,"organisation_id":608,"relation":"maintains","created_at":"2021-09-30T09:27:15.826Z","updated_at":"2021-09-30T09:27:15.826Z","grant_id":null,"is_lead":true,"saved_state":{"id":608,"name":"Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Ireland","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9253,"fairsharing_record_id":122,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.591Z","updated_at":"2022-04-11T12:07:25.591Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"123","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-02-23T17:48:27.368Z","metadata":{"doi":"10.25504/FAIRsharing.v32qa1","name":"Pre-Clustering File Format","status":"ready","contacts":[],"homepage":"https://puma.princeton.edu/help/formats.shtml#pcl","citations":[],"identifier":123,"description":"The PCL file format is a tab delimited file format that describes an expression dataset.","abbreviation":null,"support_links":[{"url":"http://yfgdb.princeton.edu/pcl_format.txt","type":"Help documentation"},{"url":"http://software.broadinstitute.org/cancer/software/gsea/wiki/index.php/Data_formats#PCL:_Stanford_cDNA_file_format_.28.2A.pcl.29","type":"Help documentation"},{"url":"https://puma.princeton.edu/index.shtml","name":"About PUMAdb","type":"Other"},{"url":"array@princeton.edu","type":"Support email"}]},"legacy_ids":["bsg-000245","bsg-s000245"],"name":"FAIRsharing record for: Pre-Clustering File Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.v32qa1","doi":"10.25504/FAIRsharing.v32qa1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PCL file format is a tab delimited file format that describes an expression dataset.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"PUMAdb Privacy Policy","licence_id":690,"licence_url":"https://puma.princeton.edu/privacy.shtml","link_id":3104,"relation":"applies_to_content"}],"grants":[{"id":10378,"fairsharing_record_id":123,"organisation_id":2357,"relation":"maintains","created_at":"2023-02-23T15:52:16.207Z","updated_at":"2023-02-23T15:52:40.214Z","grant_id":null,"is_lead":true,"saved_state":{"id":2357,"name":"Princeton University, NJ, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"124","type":"fairsharing_records","attributes":{"created_at":"2018-09-08T13:11:28.000Z","updated_at":"2023-09-29T11:54:58.788Z","metadata":{"doi":"10.25504/FAIRsharing.f66eb8","name":"Information technology -- Topic Maps -- Part 2: Data model","status":"ready","contacts":[],"homepage":"https://www.iso.org/standard/40017.html","citations":[],"identifier":124,"description":"ISO/IEC 13250-2:2006 specifies the Topic Maps data model. It defines the abstract structure and interpretation of topic maps, the rules for merging topic maps and a set of fundamental subject identifiers. The purpose of the data model is to define the interpretation of the Topic Maps interchange syntax, and to serve as a foundation for the definition of additional supporting standards including those for canonicalization, querying, and constraints.","abbreviation":"ISO/IEC 13250-2:2006","support_links":[{"url":"https://www.iso.org/contents/data/standard/04/00/40017.detail.rss","name":"RSS Feed for Updates","type":"Blog/News"}],"year_creation":2006},"legacy_ids":["bsg-001281","bsg-s001281"],"name":"FAIRsharing record for: Information technology -- Topic Maps -- Part 2: Data model","abbreviation":"ISO/IEC 13250-2:2006","url":"https://fairsharing.org/10.25504/FAIRsharing.f66eb8","doi":"10.25504/FAIRsharing.f66eb8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ISO/IEC 13250-2:2006 specifies the Topic Maps data model. It defines the abstract structure and interpretation of topic maps, the rules for merging topic maps and a set of fundamental subject identifiers. The purpose of the data model is to define the interpretation of the Topic Maps interchange syntax, and to serve as a foundation for the definition of additional supporting standards including those for canonicalization, querying, and constraints.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Subject Agnostic","Ontology and Terminology","Linguistics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"ISO Privacy and Copyright","licence_id":457,"licence_url":"https://www.iso.org/privacy-and-copyright.html","link_id":546,"relation":"undefined"}],"grants":[{"id":5125,"fairsharing_record_id":124,"organisation_id":1524,"relation":"maintains","created_at":"2021-09-30T09:27:15.890Z","updated_at":"2021-09-30T09:27:15.890Z","grant_id":null,"is_lead":true,"saved_state":{"id":1524,"name":"International Standards Organisation (ISO) ISO/IEC JTC 1/SC 34: Document description and processing languages","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10925,"fairsharing_record_id":124,"organisation_id":4125,"relation":"associated_with","created_at":"2023-09-27T14:17:01.491Z","updated_at":"2023-09-27T14:17:01.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":4125,"name":"International Organization for Standardization (ISO)","types":["Charitable foundation","Consortium"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"116","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-11-15T09:50:45.755Z","metadata":{"doi":"10.25504/FAIRsharing.mwmbpq","name":"Browser Extensible Data Format","status":"ready","contacts":[{"contact_name":"UCSC staff","contact_email":"genome@soe.ucsc.edu"}],"homepage":"https://samtools.github.io/hts-specs/","citations":[],"identifier":116,"description":"BED (Browser Extensible Data) format provides a flexible way to define the data lines that are displayed in an genome annotation track. BED lines have three required fields and nine additional optional fields. The number of fields per line must be consistent throughout any single set of data in an annotation track. The order of the optional fields is binding: lower-numbered fields must always be populated if higher-numbered fields are used.","abbreviation":"BED","support_links":[{"url":"http://genome.ucsc.edu/FAQ/FAQformat.html#format1","name":"General description of format","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/BED_(file_format)","name":"BED Format on Wikipedia","type":"Wikipedia"},{"url":"https://github.com/samtools/hts-specs","name":"GitHub Repository","type":"Github"}]},"legacy_ids":["bsg-000211","bsg-s000211"],"name":"FAIRsharing record for: Browser Extensible Data Format","abbreviation":"BED","url":"https://fairsharing.org/10.25504/FAIRsharing.mwmbpq","doi":"10.25504/FAIRsharing.mwmbpq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BED (Browser Extensible Data) format provides a flexible way to define the data lines that are displayed in an genome annotation track. BED lines have three required fields and nine additional optional fields. The number of fields per line must be consistent throughout any single set of data in an annotation track. The order of the optional fields is binding: lower-numbered fields must always be populated if higher-numbered fields are used.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11167},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12006},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12440}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Bioinformatics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5114,"fairsharing_record_id":116,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:15.473Z","updated_at":"2021-09-30T09:27:15.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11090,"fairsharing_record_id":116,"organisation_id":2887,"relation":"maintains","created_at":"2023-11-15T09:41:23.988Z","updated_at":"2023-11-15T09:41:23.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":2887,"name":"UCSC Genome Informatics Group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":11092,"fairsharing_record_id":116,"organisation_id":116,"relation":"maintains","created_at":"2023-11-15T09:42:26.103Z","updated_at":"2023-11-15T09:42:26.103Z","grant_id":null,"is_lead":true,"saved_state":{"id":116,"name":"Global Alliance for Genomics and Health","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":11091,"fairsharing_record_id":116,"organisation_id":4172,"relation":"maintains","created_at":"2023-11-15T09:41:23.989Z","updated_at":"2023-11-15T09:41:23.989Z","grant_id":null,"is_lead":true,"saved_state":{"id":4172,"name":"Samtools","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"117","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.940Z","metadata":{"doi":"10.25504/FAIRsharing.p7yp7c","name":"Affymetrix Raw Intensity Format","status":"ready","homepage":"http://www.affymetrix.com/estore/support/developer/powertools/changelog/gcos-agcc/cel.html.affx","identifier":117,"description":"The CEL file stores the results of the intensity calculations on the pixel values of the DAT file. This includes an intensity value, standard deviation of the intensity, the number of pixels used to calculate the intensity value, a flag to indicate an outlier as calculated by the algorithm and a user defined flag indicating the feature should be excluded from future analysis. The file stores the previously stated data for each feature on the probe array.","abbreviation":null,"support_links":[{"url":"http://www.affymetrix.com/estore/browse/tech_support.jsp","type":"Contact form"}],"year_creation":2009},"legacy_ids":["bsg-000219","bsg-s000219"],"name":"FAIRsharing record for: Affymetrix Raw Intensity Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.p7yp7c","doi":"10.25504/FAIRsharing.p7yp7c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CEL file stores the results of the intensity calculations on the pixel values of the DAT file. This includes an intensity value, standard deviation of the intensity, the number of pixels used to calculate the intensity value, a flag to indicate an outlier as calculated by the algorithm and a user defined flag indicating the feature should be excluded from future analysis. The file stores the previously stated data for each feature on the probe array.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"118","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-12-16T15:06:09.559Z","metadata":{"doi":"10.25504/FAIRsharing.7hp91k","name":"CHARMM Card File Format","status":"ready","contacts":[{"contact_name":"Michael Feig","contact_email":"feig@msu.edu"}],"homepage":"https://www.charmm.org/archive/charmm/documentation/by-version/c45b1/io.html","citations":[],"identifier":118,"description":"CHARMM (Chemistry at HARvard Macromolecular Mechanics) is a computational package used for classical, quantum and hybrid quantum/classical simulations. The CHARMM Card File Format (.CRD) stores the standard Cartesian coordinates of the atoms in the system and keeps track of additional molecule information that can be useful for manipulation (i.e. residue name, segment name, segment id, resdiue id, etc.).","abbreviation":"CRD","support_links":[{"url":"charmm_development_project@tammy.harvard.edu","type":"Support email"},{"url":"https://charmm-gui.org/charmmdoc/io.html","type":"Help documentation"}]},"legacy_ids":["bsg-000217","bsg-s000217"],"name":"FAIRsharing record for: CHARMM Card File Format","abbreviation":"CRD","url":"https://fairsharing.org/10.25504/FAIRsharing.7hp91k","doi":"10.25504/FAIRsharing.7hp91k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CHARMM (Chemistry at HARvard Macromolecular Mechanics) is a computational package used for classical, quantum and hybrid quantum/classical simulations. The CHARMM Card File Format (.CRD) stores the standard Cartesian coordinates of the atoms in the system and keeps track of additional molecule information that can be useful for manipulation (i.e. residue name, segment name, segment id, resdiue id, etc.).","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11716}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry"],"domains":["Atomic coordinate","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1692,"pubmed_id":null,"title":"CHARMM: A program for macromolecular energy, minimization, and dynamics calculations","year":1983,"url":"http://doi.org/10.1002/jcc.540040211","authors":"Bernard R. Brooks, Robert E. Bruccoleri, Barry D. Olafson, David J. States, S. Swaminathan, Martin Karplus","journal":"Journal of Computational Chemistry","doi":"10.1002/jcc.540040211","created_at":"2021-09-30T08:25:29.620Z","updated_at":"2021-09-30T08:25:29.620Z"},{"id":1693,"pubmed_id":null,"title":"CHARMM: The Energy Function and Its Parameterization","year":2002,"url":"http://doi.org/10.1002/0470845015.cfa007","authors":"Alexander D. MacKerell Jr., Bernard Brooks, Charles L. Brooks III, Lennart Nilsson, Benoit Roux, Youngdo Won, Martin Karplus,","journal":"Encyclopedia of Computational Chemistry","doi":"10.1002/0470845015.cfa007","created_at":"2021-09-30T08:25:29.733Z","updated_at":"2021-09-30T08:25:29.733Z"}],"licence_links":[],"grants":[{"id":5115,"fairsharing_record_id":118,"organisation_id":496,"relation":"maintains","created_at":"2021-09-30T09:27:15.512Z","updated_at":"2021-09-30T09:27:15.512Z","grant_id":null,"is_lead":false,"saved_state":{"id":496,"name":"CHARMM","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"114","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-01-25T15:46:16.319Z","metadata":{"doi":"10.25504/FAIRsharing.r2ts5t","name":"FASTQ Sequence and Sequence Quality Format","status":"ready","contacts":[],"homepage":"http://news.open-bio.org/news/2009/12/nar-fastq-format/","citations":[],"identifier":114,"description":"FASTQ is a text-based file format for sharing sequencing data combining both the sequence and an associated per base quality score.","abbreviation":null,"year_creation":2008},"legacy_ids":["bsg-000229","bsg-s000229"],"name":"FAIRsharing record for: FASTQ Sequence and Sequence Quality Format","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.r2ts5t","doi":"10.25504/FAIRsharing.r2ts5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FASTQ is a text-based file format for sharing sequencing data combining both the sequence and an associated per base quality score.","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18271},{"linking_record_name":"FAIRDOM Community Standards","linking_record_id":3505,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11166},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11861},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12005},{"linking_record_name":"EDITH standards collection for Virtual Human Twins in Health","linking_record_id":4787,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16919}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["Experimental measurement","Deoxyribonucleic acid","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1696,"pubmed_id":20015970,"title":"The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1137","authors":"Cock PJ,Fields CJ,Goto N,Heuer ML,Rice PM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1137","created_at":"2021-09-30T08:25:30.102Z","updated_at":"2021-09-30T11:29:18.702Z"}],"licence_links":[],"grants":[{"id":5109,"fairsharing_record_id":114,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:15.273Z","updated_at":"2021-09-30T09:29:12.277Z","grant_id":138,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/D018358/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5107,"fairsharing_record_id":114,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:27:15.151Z","updated_at":"2021-09-30T09:27:15.151Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":7985,"fairsharing_record_id":114,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:30:15.594Z","updated_at":"2021-09-30T09:30:15.651Z","grant_id":625,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBR/G02264X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9252,"fairsharing_record_id":114,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.538Z","updated_at":"2022-04-11T12:07:25.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"115","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.865Z","metadata":{"doi":"10.25504/FAIRsharing.wjwb5c","name":"CHADO XML","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@gmod.org"}],"homepage":"http://gmod.org/wiki/Chado_XML","identifier":115,"description":"Chado is a modular schema covering many aspects of biology, not just sequence data. Chado-XML has exactly the same scope as the Chado schema.","abbreviation":"CHADO XML","support_links":[{"url":"http://gmod.org/wiki/Chado_FAQ","type":"Frequently Asked Questions (FAQs)"}]},"legacy_ids":["bsg-000220","bsg-s000220"],"name":"FAIRsharing record for: CHADO XML","abbreviation":"CHADO XML","url":"https://fairsharing.org/10.25504/FAIRsharing.wjwb5c","doi":"10.25504/FAIRsharing.wjwb5c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chado is a modular schema covering many aspects of biology, not just sequence data. Chado-XML has exactly the same scope as the Chado schema.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":["Annotation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1705,"pubmed_id":18428772,"title":"Using Chado to store genome annotation data.","year":2008,"url":"http://doi.org/10.1002/0471250953.bi0906s12","authors":"Zhou P,Emmert D,Zhang P","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0906s12","created_at":"2021-09-30T08:25:31.070Z","updated_at":"2021-09-30T08:25:31.070Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License","licence_id":353,"licence_url":"http://www.gnu.org/licenses/fdl-1.3.html","link_id":579,"relation":"undefined"}],"grants":[{"id":5110,"fairsharing_record_id":115,"organisation_id":1102,"relation":"maintains","created_at":"2021-09-30T09:27:15.310Z","updated_at":"2021-09-30T09:27:15.310Z","grant_id":null,"is_lead":false,"saved_state":{"id":1102,"name":"Generic Model Organisms Database (GMOD)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5112,"fairsharing_record_id":115,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:27:15.390Z","updated_at":"2021-09-30T09:27:15.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5113,"fairsharing_record_id":115,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:15.432Z","updated_at":"2021-09-30T09:27:15.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5111,"fairsharing_record_id":115,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:15.348Z","updated_at":"2021-09-30T09:29:52.554Z","grant_id":446,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"5U24GM077905-0","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8101,"fairsharing_record_id":115,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:30:58.163Z","updated_at":"2021-09-30T09:30:58.217Z","grant_id":958,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1R01HG004483-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"112","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:29.595Z","metadata":{"doi":"10.25504/FAIRsharing.665mts","name":"Big Browser Extensible Data Format","status":"ready","contacts":[{"contact_name":"Donna Karolchik","contact_email":"donnak@soe.ucsc.edu"}],"homepage":"http://genome.ucsc.edu/goldenPath/help/bigBed.html","identifier":112,"description":"The bigBed format stores annotation items that can either be simple, or a linked collection of exons, much as BED files do. BigBed files are created initially from BED type files, using the program bedToBigBed. The resulting bigBed files are in an indexed binary format. The main advantage of the bigBed files is that only the portions of the files needed to display a particular region are transferred to UCSC, so for large data sets bigBed is considerably faster than regular BED files.","abbreviation":"BigBed","support_links":[{"url":"http://genome.ucsc.edu/cgi-bin/hgUserSuggestion","type":"Contact form"},{"url":"genome@soe.ucsc.edu","type":"Support email"}],"year_creation":2009},"legacy_ids":["bsg-000212","bsg-s000212"],"name":"FAIRsharing record for: Big Browser Extensible Data Format","abbreviation":"BigBed","url":"https://fairsharing.org/10.25504/FAIRsharing.665mts","doi":"10.25504/FAIRsharing.665mts","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bigBed format stores annotation items that can either be simple, or a linked collection of exons, much as BED files do. BigBed files are created initially from BED type files, using the program bedToBigBed. The resulting bigBed files are in an indexed binary format. The main advantage of the bigBed files is that only the portions of the files needed to display a particular region are transferred to UCSC, so for large data sets bigBed is considerably faster than regular BED files.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11995}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Bioinformatics","Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1760,"pubmed_id":24227676,"title":"Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt637","authors":"Raney BJ,Dreszer TR,Barber GP,Clawson H,Fujita PA,Wang T,Nguyen N,Paten B,Zweig AS,Karolchik D,Kent WJ","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt637","created_at":"2021-09-30T08:25:37.489Z","updated_at":"2021-09-30T08:25:37.489Z"},{"id":1761,"pubmed_id":20639541,"title":"BigWig and BigBed: enabling browsing of large distributed datasets.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq351","authors":"Kent WJ,Zweig AS,Barber G,Hinrichs AS,Karolchik D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq351","created_at":"2021-09-30T08:25:37.597Z","updated_at":"2021-09-30T08:25:37.597Z"}],"licence_links":[],"grants":[{"id":8363,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:15.575Z","updated_at":"2021-09-30T09:32:15.619Z","grant_id":1537,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"P41HG002371","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5104,"fairsharing_record_id":112,"organisation_id":859,"relation":"maintains","created_at":"2021-09-30T09:27:15.037Z","updated_at":"2021-09-30T09:27:15.037Z","grant_id":null,"is_lead":false,"saved_state":{"id":859,"name":"Encyclopedia of DNA Elements (ENCODE) Consortium, University of California Santa Cruz, Santa Cruz, California, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5105,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:15.082Z","updated_at":"2021-09-30T09:31:41.336Z","grant_id":1284,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5P41HG002371-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5103,"fairsharing_record_id":112,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:14.998Z","updated_at":"2021-09-30T09:29:09.117Z","grant_id":115,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"U01ES017154","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8318,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:03.501Z","updated_at":"2021-09-30T09:32:03.561Z","grant_id":1449,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5U41HG004568-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8482,"fairsharing_record_id":112,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:32:50.869Z","updated_at":"2021-09-30T09:32:50.928Z","grant_id":1804,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41HG004568","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8486,"fairsharing_record_id":112,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:32:51.786Z","updated_at":"2021-09-30T09:32:51.837Z","grant_id":1810,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01HG007354","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"113","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:39.940Z","metadata":{"doi":"10.25504/FAIRsharing.dyqz3y","name":"Ascomycete Phenotype Ontology","status":"ready","contacts":[{"contact_name":"J. Michael Cherry","contact_email":"cherry@stanford.edu","contact_orcid":"0000-0001-9163-5180"}],"homepage":"http://bioportal.bioontology.org/ontologies/APO?p=summary","identifier":113,"description":"Ascomycete Phenotype Ontology is a structured controlled vocabulary for the phenotypes of Ascomycete fungi.","abbreviation":"APO","support_links":[{"url":"sgd-helpdesk@lists.stanford.edu","type":"Support email"},{"url":"https://twitter.com/yeastgenome","type":"Twitter"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/APO","name":"APO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/apo.html","name":"apo","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000128","bsg-s000128"],"name":"FAIRsharing record for: Ascomycete Phenotype Ontology","abbreviation":"APO","url":"https://fairsharing.org/10.25504/FAIRsharing.dyqz3y","doi":"10.25504/FAIRsharing.dyqz3y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ascomycete Phenotype Ontology is a structured controlled vocabulary for the phenotypes of Ascomycete fungi.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Cell Biology"],"domains":["Mutation","Study design","Phenotype","Morphology","Life cycle stage"],"taxonomies":["Ascomycota"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5106,"fairsharing_record_id":113,"organisation_id":2479,"relation":"maintains","created_at":"2021-09-30T09:27:15.119Z","updated_at":"2021-09-30T09:27:15.119Z","grant_id":null,"is_lead":false,"saved_state":{"id":2479,"name":"Saccharomyces Genome Database","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"119","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-23T11:14:03.293Z","metadata":{"doi":"10.25504/FAIRsharing.qw67v6","name":"Adverse Drug Reaction Markup Language","status":"deprecated","contacts":[],"homepage":"https://www.euadr-project.org","citations":[],"identifier":119,"description":"The Adverse Drug Reaction Markup Language (EU-ADR ML) was created to as part of the EU-ADR project. The ultimate aim of this project was to develop an innovative approach to the early detection of adverse drug reactions. The status of this format is uncertain as FAIRsharing cannot find documentation for the format itself beyond what is available in this record.","abbreviation":"EU-ADR ML","support_links":[{"url":"https://bioinformatics.ua.pt/euadr/public/guide.pdf","type":"Help documentation"},{"url":"http://sourceforge.net/projects/cml/","type":"Help documentation"}],"deprecation_date":"2023-03-23","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000224","bsg-s000224"],"name":"FAIRsharing record for: Adverse Drug Reaction Markup Language","abbreviation":"EU-ADR ML","url":"https://fairsharing.org/10.25504/FAIRsharing.qw67v6","doi":"10.25504/FAIRsharing.qw67v6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Adverse Drug Reaction Markup Language (EU-ADR ML) was created to as part of the EU-ADR project. The ultimate aim of this project was to develop an innovative approach to the early detection of adverse drug reactions. The status of this format is uncertain as FAIRsharing cannot find documentation for the format itself beyond what is available in this record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Pharmacy","Pharmacology"],"domains":["Drug","Electronic health record","Adverse Reaction","Disease","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":2106,"pubmed_id":19745234,"title":"The EU-ADR project: preliminary results and perspective.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19745234","authors":"Trifiro G,Fourrier-Reglat A,Sturkenboom MC,Diaz Acedo C,Van Der Lei J","journal":"Stud Health Technol Inform","doi":"10.3233/978-1-60750-043-8-43","created_at":"2021-09-30T08:26:17.365Z","updated_at":"2021-09-30T08:26:17.365Z"}],"licence_links":[],"grants":[{"id":5116,"fairsharing_record_id":119,"organisation_id":890,"relation":"funds","created_at":"2021-09-30T09:27:15.544Z","updated_at":"2021-09-30T09:27:15.544Z","grant_id":null,"is_lead":false,"saved_state":{"id":890,"name":"EU FP7 EU-ADR","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"144","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-03-03T09:45:46.271Z","metadata":{"doi":"10.25504/FAIRsharing.4xrzw1","name":"Dot Bracket Notation (DBN) - Vienna Format","status":"deprecated","contacts":[{"contact_name":"Contact","contact_email":"rna@tbi.univie.ac.at"}],"homepage":"https://www.tbi.univie.ac.at/RNA/ViennaRNA/doc/html/rna_structure_notations.html#dot-bracket-notation","citations":[],"identifier":144,"description":"The bracket notation for RNA secondary structures Pseudo-knot free secondary structures can be represented in the space-efficient bracket notation, which is used throughout the Vienna RNA package.","abbreviation":"DBN","deprecation_date":"2022-03-03","deprecation_reason":"This ontology is inactive. Please get in touch with us if you have updates for this record."},"legacy_ids":["bsg-000296","bsg-s000296"],"name":"FAIRsharing record for: Dot Bracket Notation (DBN) - Vienna Format","abbreviation":"DBN","url":"https://fairsharing.org/10.25504/FAIRsharing.4xrzw1","doi":"10.25504/FAIRsharing.4xrzw1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The bracket notation for RNA secondary structures Pseudo-knot free secondary structures can be represented in the space-efficient bracket notation, which is used throughout the Vienna RNA package.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12088}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Molecular structure","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":1710,"pubmed_id":18428716,"title":"RNA secondary structure analysis using the Vienna RNA package.","year":2008,"url":"http://doi.org/10.1002/0471250953.bi1202s04","authors":"Hofacker IL","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi1202s04","created_at":"2021-09-30T08:25:31.612Z","updated_at":"2021-09-30T08:25:31.612Z"}],"licence_links":[],"grants":[{"id":5154,"fairsharing_record_id":144,"organisation_id":1397,"relation":"maintains","created_at":"2021-09-30T09:27:17.049Z","updated_at":"2021-09-30T09:27:17.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":1397,"name":"Institute for Theoretical Chemistry, Vienna, Austria","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"145","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-17T09:27:55.914Z","metadata":{"doi":"10.25504/FAIRsharing.xvsv9z","name":"Biospecimen Reporting for Improved Study Quality","status":"ready","contacts":[{"contact_name":"Andrea Kelly","contact_email":"kellya2@mail.nih.gov"}],"homepage":"https://www.equator-network.org/reporting-guidelines/brisq/","citations":[],"identifier":145,"description":"The Biospecimen Reporting for Improved Study Quality (BRISQ) recommendations outlined are intended to apply to any study in which human biospecimens are used. The BRISQ guidelines are proposed as an important and timely resource tool to strengthen communication and publications around biospecimen-related research and help reassure patient contributors and the advocacy community that the contributions are valued and respected. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available.","abbreviation":"BRISQ"},"legacy_ids":["bsg-000550","bsg-s000550"],"name":"FAIRsharing record for: Biospecimen Reporting for Improved Study Quality","abbreviation":"BRISQ","url":"https://fairsharing.org/10.25504/FAIRsharing.xvsv9z","doi":"10.25504/FAIRsharing.xvsv9z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biospecimen Reporting for Improved Study Quality (BRISQ) recommendations outlined are intended to apply to any study in which human biospecimens are used. The BRISQ guidelines are proposed as an important and timely resource tool to strengthen communication and publications around biospecimen-related research and help reassure patient contributors and the advocacy community that the contributions are valued and respected. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available.","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12054},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12481}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Life Science","Preclinical Studies"],"domains":["Biobank","Quality control","Biological sample"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","France","Netherlands","United States"],"publications":[{"id":615,"pubmed_id":21574648,"title":"Biospecimen reporting for improved study quality (BRISQ)","year":2011,"url":"http://doi.org/10.1021/pr200021n","authors":"Moore HM, Kelly AB, Jewell SD, McShane LM, Clark DP, Greenspan R, Hayes DF, Hainaut P, Kim P, Mansfield E, Potapova O, Riegman P, Rubinstein Y, Seijo E, Somiari S, Watson P, Weier HU, Zhu C, Vaught J.","journal":"J Proteome Res.","doi":"10.1021/pr200021n","created_at":"2021-09-30T08:23:27.593Z","updated_at":"2021-09-30T08:23:27.593Z"}],"licence_links":[],"grants":[{"id":5156,"fairsharing_record_id":145,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:17.127Z","updated_at":"2021-09-30T09:31:09.483Z","grant_id":1044,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001E","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5155,"fairsharing_record_id":145,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:27:17.091Z","updated_at":"2021-09-30T09:27:17.091Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":5157,"fairsharing_record_id":145,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:27:17.167Z","updated_at":"2021-09-30T09:30:42.740Z","grant_id":834,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"CA136685","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"146","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:28.000Z","updated_at":"2022-07-20T12:28:43.081Z","metadata":{"doi":"10.25504/FAIRsharing.spjjv8","name":"Functional Therapeutic Chemical Classification System","status":"ready","contacts":[{"contact_name":"Samuel Croset","contact_email":"samuel.croset@gmail.com"}],"homepage":"https://github.com/loopasam/ftc","citations":[{"doi":"10.1093/bioinformatics/btt628","pubmed_id":24177719,"publication_id":2338}],"identifier":146,"description":"The Functional Therapeutic Chemical Classification System (FTC) defines over 20,000 mechanisms and modes of action for approved drugs. The resource abstracts away from the traditional chemical structure-based approach and focuses solely on the mode of action of drugs. The classification sorts therapeutic agents based on their function in the human body. Please note that this resource is no longer actively maintained (source: https://github.com/loopasam/ftc/issues/1).","abbreviation":"FTC","support_links":[{"url":"https://github.com/loopasam/ftc/issues","name":"GitHub Issue Tracker","type":"Github"}],"year_creation":2016,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/FTC","name":"FTC","portal":"BioPortal"}]},"legacy_ids":["bsg-000851","bsg-s000851"],"name":"FAIRsharing record for: Functional Therapeutic Chemical Classification System","abbreviation":"FTC","url":"https://fairsharing.org/10.25504/FAIRsharing.spjjv8","doi":"10.25504/FAIRsharing.spjjv8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Functional Therapeutic Chemical Classification System (FTC) defines over 20,000 mechanisms and modes of action for approved drugs. The resource abstracts away from the traditional chemical structure-based approach and focuses solely on the mode of action of drugs. The classification sorts therapeutic agents based on their function in the human body. Please note that this resource is no longer actively maintained (source: https://github.com/loopasam/ftc/issues/1).","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18261}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Drug Repositioning"],"domains":["Drug","Classification","Approved drug"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2338,"pubmed_id":24177719,"title":"The functional therapeutic chemical classification system.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt628","authors":"Croset S,Overington JP,Rebholz-Schuhmann D","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt628","created_at":"2021-09-30T08:26:47.152Z","updated_at":"2021-09-30T08:26:47.152Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":292,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":400,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":402,"relation":"undefined"}],"grants":[{"id":5159,"fairsharing_record_id":146,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:27:17.245Z","updated_at":"2021-09-30T09:27:17.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":5158,"fairsharing_record_id":146,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:17.209Z","updated_at":"2021-09-30T09:27:17.209Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"158","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:46:56.589Z","metadata":{"doi":"10.25504/FAIRsharing.17zapb","name":"Xenopus Anatomy Ontology","status":"ready","contacts":[{"contact_name":"Erik Segerdell","contact_email":"segerdel@ohsu.edu","contact_orcid":"0000-0002-9611-1279"}],"homepage":"http://www.xenbase.org/anatomy/xao.do?method=display","citations":[],"identifier":158,"description":"The Xenopus Anatomical Ontology (XAO) describes Xenopus anatomy and embryological development using a 'controlled vocabulary' of anatomy terms that are organized in an hierarchy with a graphical structure. XAO terms describe gene expression, and the XAO is constantly being updated in response to the latest published Xenopus research.","abbreviation":"XAO","support_links":[{"url":"xenbase@ucalgary.ca","name":"General contact","type":"Support email"},{"url":"http://www.xenbase.org/geneExpression/static/XpatSearchTips/XpatSearchTips.jsp#Anatomy","type":"Help documentation"}],"year_creation":2008,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/XAO","name":"XAO","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/xao.html","name":"xao","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000034","bsg-s000034"],"name":"FAIRsharing record for: Xenopus Anatomy Ontology","abbreviation":"XAO","url":"https://fairsharing.org/10.25504/FAIRsharing.17zapb","doi":"10.25504/FAIRsharing.17zapb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Xenopus Anatomical Ontology (XAO) describes Xenopus anatomy and embryological development using a 'controlled vocabulary' of anatomy terms that are organized in an hierarchy with a graphical structure. XAO terms describe gene expression, and the XAO is constantly being updated in response to the latest published Xenopus research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Morphology","Structure","Life cycle","Life cycle stage"],"taxonomies":["Xenopus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":970,"pubmed_id":24139024,"title":"Enhanced XAO: the ontology of Xenopus anatomy and development underpins more accurate annotation of gene expression and queries on Xenbase.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-31","authors":"Segerdell E,Ponferrada VG,James-Zorn C,Burns KA,Fortriede JD,Dahdul WM,Vize PD,Zorn AM","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-31","created_at":"2021-09-30T08:24:07.313Z","updated_at":"2021-09-30T08:24:07.313Z"},{"id":1039,"pubmed_id":18817563,"title":"An ontology for Xenopus anatomy and development.","year":2008,"url":"http://doi.org/10.1186/1471-213X-8-92","authors":"Segerdell E,Bowes JB,Pollet N,Vize PD","journal":"BMC Dev Biol","doi":"10.1186/1471-213X-8-92","created_at":"2021-09-30T08:24:15.040Z","updated_at":"2021-09-30T08:24:15.040Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1612,"relation":"undefined"}],"grants":[{"id":5183,"fairsharing_record_id":158,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:18.103Z","updated_at":"2021-09-30T09:29:16.426Z","grant_id":170,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01HD045776-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5181,"fairsharing_record_id":158,"organisation_id":3264,"relation":"maintains","created_at":"2021-09-30T09:27:18.053Z","updated_at":"2021-09-30T09:27:18.053Z","grant_id":null,"is_lead":false,"saved_state":{"id":3264,"name":"Xenbase administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5182,"fairsharing_record_id":158,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:27:18.077Z","updated_at":"2021-09-30T09:32:07.064Z","grant_id":1476,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"P41 HD064556","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"159","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:23.915Z","metadata":{"doi":"10.25504/FAIRsharing.vywjrq","name":"New Taxonomy database","status":"deprecated","contacts":[{"contact_name":"Maria-Jesus Martin","contact_email":"support@ebi.ac.uk"}],"homepage":"http://www.uniprot.org/taxonomy/","citations":[{"doi":"10.1093/nar/gkg516","pubmed_id":12824428,"publication_id":2440}],"identifier":159,"description":"While the original homepage was http://www.ebi.ac.uk/newt/, this link no longer works as NEWT is deprecated. Therefore, to have a valid homepage, a link has been provided to the resource that should be used instead.","abbreviation":"NEWT","year_creation":2002,"deprecation_date":"2015-04-21","deprecation_reason":"This resource is obsolete and has been deprecated by its developers."},"legacy_ids":["bsg-000295","bsg-s000295"],"name":"FAIRsharing record for: New Taxonomy database","abbreviation":"NEWT","url":"https://fairsharing.org/10.25504/FAIRsharing.vywjrq","doi":"10.25504/FAIRsharing.vywjrq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: While the original homepage was http://www.ebi.ac.uk/newt/, this link no longer works as NEWT is deprecated. Therefore, to have a valid homepage, a link has been provided to the resource that should be used instead.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Taxonomy","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2440,"pubmed_id":12824428,"title":"NEWT, a new taxonomy portal.","year":2003,"url":"http://doi.org/10.1093/nar/gkg516","authors":"Phan IQ,Pilbout SF,Fleischmann W,Bairoch A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg516","created_at":"2021-09-30T08:26:59.308Z","updated_at":"2021-09-30T11:29:35.994Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":498,"relation":"undefined"}],"grants":[{"id":5184,"fairsharing_record_id":159,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:18.127Z","updated_at":"2021-09-30T09:27:18.127Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":9228,"fairsharing_record_id":159,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.902Z","updated_at":"2022-04-11T12:07:23.902Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"160","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-08-08T07:25:39.704Z","metadata":{"doi":"10.25504/FAIRsharing.21gwxs","name":"WHO Adverse Reaction Terminology","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"support@who.int"}],"homepage":"https://who-umc.org/vigibase/vigibase-services/who-art/","citations":[],"identifier":160,"description":"The World Health Organization Adverse Drug Reaction Terminology (WHO-ART) was developed and maintained by the WHO Collaborating Centre for International Drug Monitoring Uppsala Monitoring Centre (UMC). The WHO-ART collection is used for coding clinical information related to adverse drug reactions as a standardization collection of vocabulary/terminology for adverse reactions. ","abbreviation":"WHO-ART","support_links":[{"url":"https://who-umc.org/contact-information/help-and-support/","name":"User Request Form","type":"Contact form"}],"year_creation":1997,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WHO-ART","name":"WHO-ART","portal":"BioPortal"},{"url":"https://www.nlm.nih.gov/research/umls/sourcereleasedocs/current/WHO/index.html","name":"UMLS Vocabularies","portal":"Other"}],"deprecation_date":"2023-08-07","deprecation_reason":"The WHO Adverse Reaction Terminology (WHO-ART) is a legacy UMC coding service tool that is no longer actively maintained and has since been depreciated by MedDRA ontology. Although WHO-ART has been officially deprecated since 2015, any user who requires it for a specific purpose should contact UMC as indicated. Until 2008, when MedDRA (Medical Dictionary for Regulatory Activities) was implemented, WHO-ART was the only available terminology for coding adverse drug reactions in VigiBase. Most users should now use MedDRA as their preferred coding choice."},"legacy_ids":["bsg-002601","bsg-s002601"],"name":"FAIRsharing record for: WHO Adverse Reaction Terminology","abbreviation":"WHO-ART","url":"https://fairsharing.org/10.25504/FAIRsharing.21gwxs","doi":"10.25504/FAIRsharing.21gwxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Health Organization Adverse Drug Reaction Terminology (WHO-ART) was developed and maintained by the WHO Collaborating Centre for International Drug Monitoring Uppsala Monitoring Centre (UMC). The WHO-ART collection is used for coding clinical information related to adverse drug reactions as a standardization collection of vocabulary/terminology for adverse reactions. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Biomedical Science","Ontology and Terminology"],"domains":["Adverse Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":1507,"relation":"undefined"}],"grants":[{"id":10819,"fairsharing_record_id":160,"organisation_id":4083,"relation":"maintains","created_at":"2023-08-07T20:55:57.522Z","updated_at":"2023-08-07T20:55:57.522Z","grant_id":null,"is_lead":true,"saved_state":{"id":4083,"name":"World Health Organization (WHO) Collaborating Centre for International Drug Monitoring, Uppsala Monitoring Centre (UMC)","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":5186,"fairsharing_record_id":160,"organisation_id":3252,"relation":"associated_with","created_at":"2021-09-30T09:27:18.177Z","updated_at":"2023-08-07T20:55:57.620Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization","types":["Government body"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"161","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:06:17.000Z","updated_at":"2022-07-20T12:31:09.585Z","metadata":{"doi":"10.25504/FAIRsharing.DfMGZW","name":"FAIR Maturity Indicator Gen2-MI-A1.1","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_A1.1.md","identifier":161,"description":"The FAIR Maturity Indicator Gen2-MI-A1.1 measures if the resolution protocol is universally implementable with an open protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001369","bsg-s001369"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-A1.1","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.DfMGZW","doi":"10.25504/FAIRsharing.DfMGZW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-A1.1 measures if the resolution protocol is universally implementable with an open protocol. Protocols that are closed source or that have royalties associated with them could prevent users from being able to obtain the resource.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13194},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13205},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13225},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13255},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13270},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20168}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1480,"relation":"undefined"}],"grants":[{"id":5188,"fairsharing_record_id":161,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:18.232Z","updated_at":"2021-09-30T09:27:18.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5187,"fairsharing_record_id":161,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:18.204Z","updated_at":"2021-09-30T09:27:18.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5189,"fairsharing_record_id":161,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:18.263Z","updated_at":"2021-09-30T09:27:18.263Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5190,"fairsharing_record_id":161,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:18.290Z","updated_at":"2021-09-30T09:27:18.290Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"140","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-02T10:44:26.924Z","metadata":{"doi":"10.25504/FAIRsharing.qv4b3c","name":"Simplified Molecular Input Line Entry Specification Format","status":"ready","contacts":[],"homepage":"http://opensmiles.org/opensmiles.html","citations":[],"identifier":140,"description":"This format is an open specification version of the SMILES language, a typographical line notation for specifying chemical structure. It is hosted under the banner of the Blue Obelisk project, with the intent to solicit contributions and comments from the entire computational chemistry community.","abbreviation":"SMILES","support_links":[{"url":"http://www.daylight.com/dayhtml/doc/theory/theory.smiles.html","name":"External documentation","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Simplified_molecular-input_line-entry_system","name":"Wikipedia Entry","type":"Wikipedia"},{"url":"http://openbabel.org/docs/FileFormats/SMILES_format.html","name":"SMILES format","type":"Help documentation"},{"url":"https://github.com/opensmiles","name":"OpenSMILES GitHub Organization","type":"Github"},{"url":"http://opensmiles.org/opensmiles.html","name":"OpenSMILES Specification","type":"Help documentation"},{"url":"https://sourceforge.net/projects/blueobelisk/lists/blueobelisk-discuss","name":"Mailing List: blueobelisk","type":"Contact form"}],"year_creation":1980},"legacy_ids":["bsg-000264","bsg-s000264"],"name":"FAIRsharing record for: Simplified Molecular Input Line Entry Specification Format","abbreviation":"SMILES","url":"https://fairsharing.org/10.25504/FAIRsharing.qv4b3c","doi":"10.25504/FAIRsharing.qv4b3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This format is an open specification version of the SMILES language, a typographical line notation for specifying chemical structure. It is hosted under the banner of the Blue Obelisk project, with the intent to solicit contributions and comments from the entire computational chemistry community.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10857},{"linking_record_name":"Metabolomics Standards and Databases","linking_record_id":3499,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10920},{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11041},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12079}],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Chemistry","Life Science"],"domains":["Molecular structure","Molecular entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1716,"pubmed_id":null,"title":"SMILES. 2. Algorithm for generation of unique SMILES notation","year":1989,"url":"http://doi.org/10.1021/ci00062a008","authors":"Weininger D, Weininger A, Weininger JL","journal":"Journal of Chemical Information and Modeling.","doi":"10.1021/ci00062a008","created_at":"2021-09-30T08:25:32.253Z","updated_at":"2021-09-30T08:25:32.253Z"},{"id":1726,"pubmed_id":23031664,"title":"mol2chemfig, a tool for rendering chemical structures from molfile or SMILES format to LATE X code.","year":2012,"url":"http://doi.org/10.1186/1758-2946-4-24","authors":"Brefo-Mensah EK,Palmer M","journal":"J Cheminform","doi":"10.1186/1758-2946-4-24","created_at":"2021-09-30T08:25:33.446Z","updated_at":"2021-09-30T08:25:33.446Z"},{"id":1727,"pubmed_id":null,"title":"SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules","year":1988,"url":"http://doi.org/10.1021/ci00057a005","authors":"Weininger D.","journal":"Journal of Chemical Information and Modeling","doi":"10.1021/ci00057a005","created_at":"2021-09-30T08:25:33.554Z","updated_at":"2021-09-30T08:25:33.554Z"},{"id":1728,"pubmed_id":null,"title":"SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules","year":1990,"url":"http://doi.org/10.1021/ci00067a005","authors":"Weininger D.","journal":"Journal of Chemical Information and Modeling.","doi":"10.1021/ci00067a005","created_at":"2021-09-30T08:25:33.662Z","updated_at":"2021-09-30T08:25:33.662Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License 1.2","licence_id":354,"licence_url":"https://www.gnu.org/licenses/old-licenses/fdl-1.2.en.html","link_id":2573,"relation":"applies_to_content"}],"grants":[{"id":5148,"fairsharing_record_id":140,"organisation_id":288,"relation":"maintains","created_at":"2021-09-30T09:27:16.845Z","updated_at":"2021-09-30T09:27:16.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":288,"name":"Blue Obelisk","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBazRFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--047d6c77b3abf77702d511a7e6a66acd8eb554b8/19335777.jpg?disposition=inline","exhaustive_licences":false}},{"id":"141","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T18:57:16.000Z","updated_at":"2022-07-20T12:46:04.744Z","metadata":{"doi":"10.25504/FAIRsharing.e2zy7j","name":"Apollo Location Code","status":"deprecated","contacts":[{"contact_name":"Jeremy Espino","contact_email":"juest4@pitt.edu","contact_orcid":"0000-0001-8104-2656"}],"homepage":"http://betaweb.rods.pitt.edu/ls","citations":[],"identifier":141,"description":"The Apollo Location Service (LS) Database issues persistent identifiers for locations for specific time intervals, including intervals that start in the past and are still open at present (i.e., the identifier should be used to refer to the location today). Temporally specific location identifiers are particularly important in epidemiology because the epidemiological record includes locations that do not presently exist, location names that have changed and location names whose political boundaries have changed.","abbreviation":"apollo-ls","support_links":[{"url":"https://docs.google.com/document/d/18ojDcH2-IoKpCObAvxVXS8nIvyJz-Jprpfu8SZnV0xs/edit?usp=sharing","name":"Apollo LS User Guide","type":"Help documentation"}],"year_creation":2014,"deprecation_date":"2022-07-14","deprecation_reason":"The resource homepage no longer exists, and a new one cannot be found. Please get in touch with us if you have any information."},"legacy_ids":["bsg-000708","bsg-s000708"],"name":"FAIRsharing record for: Apollo Location Code","abbreviation":"apollo-ls","url":"https://fairsharing.org/10.25504/FAIRsharing.e2zy7j","doi":"10.25504/FAIRsharing.e2zy7j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Apollo Location Service (LS) Database issues persistent identifiers for locations for specific time intervals, including intervals that start in the past and are still open at present (i.e., the identifier should be used to refer to the location today). Temporally specific location identifiers are particularly important in epidemiology because the epidemiological record includes locations that do not presently exist, location names that have changed and location names whose political boundaries have changed.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12443}],"fairsharing_registry":"Standard","record_type":"identifier_schema","subjects":["Epidemiology"],"domains":["Geographical location"],"taxonomies":["ISO3166"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5149,"fairsharing_record_id":141,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:27:16.879Z","updated_at":"2021-09-30T09:30:00.651Z","grant_id":511,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U24GM110707","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"142","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:20:23.154Z","metadata":{"doi":"10.25504/FAIRsharing.6mk8xz","name":"Minimum Information About a Biofilm Experiment","status":"ready","contacts":[{"contact_name":"Nuno Filipe Azevedo","contact_email":"nazevedo@fe.up.pt","contact_orcid":"0000-0001-5864-3250"}],"homepage":"http://miabie.org/","identifier":142,"description":"The minimum information about a biofilm experiment (MIABiE) initiative has arisen from the need to find an adequate and scientifically sound way to control the quality of the documentation accompanying the public deposition of biofilm-related data, particularly those obtained using high-throughput devices and techniques. MIABiE includes several modules, each addressing specific parts of a biofilm study.","abbreviation":"MIABiE","support_links":[{"url":"http://miabie.org/modules.php","name":"Module Documentation","type":"Help documentation"},{"url":"http://miabie.org/introduction.php","name":"Additional Information","type":"Help documentation"}],"year_creation":2011,"associated_tools":[{"url":"http://miabie.org/tools.php","name":"Associated Tools"}]},"legacy_ids":["bsg-000279","bsg-s000279"],"name":"FAIRsharing record for: Minimum Information About a Biofilm Experiment","abbreviation":"MIABiE","url":"https://fairsharing.org/10.25504/FAIRsharing.6mk8xz","doi":"10.25504/FAIRsharing.6mk8xz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The minimum information about a biofilm experiment (MIABiE) initiative has arisen from the need to find an adequate and scientifically sound way to control the quality of the documentation accompanying the public deposition of biofilm-related data, particularly those obtained using high-throughput devices and techniques. MIABiE includes several modules, each addressing specific parts of a biofilm study.","linked_records":[],"linking_records":[{"linking_record_name":"Minimum Information for Biological and Biomedical Investigations","linking_record_id":3518,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11596},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12013}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Microbiology","Biology"],"domains":["Biofilm","Assay"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Canada","Germany","Italy","Latvia","Portugal","Spain","United States"],"publications":[{"id":149,"pubmed_id":33447797,"title":"Minimum information guideline for spectrophotometric and fluorometric methods to assess biofilm formation in microplates.","year":2019,"url":"http://doi.org/10.1016/j.bioflm.2019.100010","authors":"Allkja J,Bjarnsholt T,Coenye T,Cos P,Fallarero A,Harrison JJ,Lopes SP,Oliver A,Pereira MO,Ramage G,Shirtliff ME,Stoodley P,Webb JS,Zaat SAJ,Goeres DM,Azevedo NF","journal":"Biofilm","doi":"10.1016/j.bioflm.2019.100010","created_at":"2021-09-30T08:22:36.198Z","updated_at":"2021-09-30T08:22:36.198Z"},{"id":613,"pubmed_id":24478124,"title":"Minimum information about a biofilm experiment (MIABiE): standards for reporting experiments and data on sessile microbial communities living at interfaces","year":2014,"url":"http://doi.org/10.1111/2049-632X.12146","authors":"Lourenço, A., Coenye, T., Goeres, D., Donelli, G., Azevedo, A.S., Ceri, H., Coelho, F.L., Flemming, H.-C., Juhna, T., Lopes, S.P., Oliveira, R., Oliver, A., Shirtliff, M.E., Sousa, A.M., Stoodley, P., Pereira M.O. and N.F. Azevedo","journal":"Pathogens and Disease","doi":"10.1111/2049-632X.12146","created_at":"2021-09-30T08:23:27.376Z","updated_at":"2021-09-30T08:23:27.376Z"}],"licence_links":[{"licence_name":"MIABiE Terms of Use","licence_id":513,"licence_url":"http://miabie.org/terms-use.php","link_id":865,"relation":"undefined"}],"grants":[{"id":5150,"fairsharing_record_id":142,"organisation_id":1845,"relation":"maintains","created_at":"2021-09-30T09:27:16.916Z","updated_at":"2021-09-30T09:27:16.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":1845,"name":"Minimum Information about a Biofilm Experiment (MIABiE) Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":5152,"fairsharing_record_id":142,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:27:16.987Z","updated_at":"2021-09-30T09:27:16.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5151,"fairsharing_record_id":142,"organisation_id":1010,"relation":"funds","created_at":"2021-09-30T09:27:16.956Z","updated_at":"2021-09-30T09:29:54.343Z","grant_id":461,"is_lead":false,"saved_state":{"id":1010,"name":"FEUP - Faculty of Engineering University of Porto","grant":"722467","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"143","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:18:30.788Z","metadata":{"doi":"10.25504/FAIRsharing.mcgj5b","name":"Distributed Sequence Annotation System","status":"ready","contacts":[{"contact_name":"Contact","contact_email":"das@biodas.org"}],"homepage":"http://www.biodas.org/documents/spec-1.6.html","identifier":143,"description":"The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences.","abbreviation":"DAS","support_links":[{"url":"http://biodas.open-bio.org/wiki/DasFAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://lists.open-bio.org/mailman/listinfo/das","type":"Mailing list"},{"url":"http://biodas.open-bio.org/wiki/Main_Page","type":"Help documentation"}],"year_creation":2000},"legacy_ids":["bsg-000287","bsg-s000287"],"name":"FAIRsharing record for: Distributed Sequence Annotation System","abbreviation":"DAS","url":"https://fairsharing.org/10.25504/FAIRsharing.mcgj5b","doi":"10.25504/FAIRsharing.mcgj5b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Life Science"],"domains":["Annotation","Deoxyribonucleic acid","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1708,"pubmed_id":11667947,"title":"The distributed annotation system.","year":2001,"url":"http://doi.org/10.1186/1471-2105-2-7","authors":"Dowell RD,Jokerst RM,Day A,Eddy SR,Stein L","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-2-7","created_at":"2021-09-30T08:25:31.395Z","updated_at":"2021-09-30T08:25:31.395Z"}],"licence_links":[],"grants":[{"id":5153,"fairsharing_record_id":143,"organisation_id":548,"relation":"maintains","created_at":"2021-09-30T09:27:17.013Z","updated_at":"2021-09-30T09:27:17.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":548,"name":"Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"163","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-18T13:54:15.298Z","metadata":{"doi":"10.25504/FAIRsharing.frr5dh","name":"REporting recommendations for tumour MARKer prognostic studies","status":"ready","contacts":[{"contact_name":"Lisa M McShane","contact_email":"Lm5h@nih.gov"}],"homepage":"https://www.equator-network.org/reporting-guidelines/reporting-recommendations-for-tumour-marker-prognostic-studies-remark/","citations":[],"identifier":163,"description":"As for the successful CONSORT initiative for randomized trials and for the STARD statement for diagnostic studies, we suggest guidelines to provide relevant information about the study design, preplanned hypotheses, patient and specimen characteristics, assay methods, and statistical analysis methods. In addition, the guidelines provide helpful suggestions on how to present data and important elements to include in discussions. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available. ","abbreviation":"REMARK","support_links":[],"year_creation":2001},"legacy_ids":["bsg-000155","bsg-s000155"],"name":"FAIRsharing record for: REporting recommendations for tumour MARKer prognostic studies","abbreviation":"REMARK","url":"https://fairsharing.org/10.25504/FAIRsharing.frr5dh","doi":"10.25504/FAIRsharing.frr5dh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As for the successful CONSORT initiative for randomized trials and for the STARD statement for diagnostic studies, we suggest guidelines to provide relevant information about the study design, preplanned hypotheses, patient and specimen characteristics, assay methods, and statistical analysis methods. In addition, the guidelines provide helpful suggestions on how to present data and important elements to include in discussions. Please note that, although this standard is available via the EQUATOR site, the homepage for this guideline is no longer available. ","linked_records":[],"linking_records":[{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12098}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Oncology","Genetics","Biomedical Science"],"domains":["Tumor","Genetic marker","Prognosis"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany","United Kingdom","United States"],"publications":[{"id":852,"pubmed_id":22642691,"title":"Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration.","year":2012,"url":"http://doi.org/10.1186/1741-7015-10-51","authors":"Altman DG,McShane LM,Sauerbrei W,Taube SE","journal":"BMC Med","doi":"10.1186/1741-7015-10-51","created_at":"2021-09-30T08:23:54.037Z","updated_at":"2021-09-30T08:23:54.037Z"},{"id":854,"pubmed_id":22675273,"title":"Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.","year":2012,"url":"http://doi.org/10.1371/journal.pmed.1001216","authors":"Altman DG,McShane LM,Sauerbrei W,Taube SE","journal":"PLoS Med","doi":"10.1371/journal.pmed.1001216","created_at":"2021-09-30T08:23:54.254Z","updated_at":"2021-09-30T08:23:54.254Z"},{"id":1827,"pubmed_id":16106245,"title":"REporting recommendations for tumour MARKer prognostic studies (REMARK).","year":2005,"url":"http://doi.org/10.1038/sj.bjc.6602678","authors":"McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM; Statistics Subcommittee of the NCI-EORTC Working Group on Cancer Diagnostics.","journal":"Br. J. Cancer","doi":"10.1038/sj.bjc.6602678","created_at":"2021-09-30T08:25:45.222Z","updated_at":"2021-09-30T08:25:45.222Z"}],"licence_links":[],"grants":[{"id":5192,"fairsharing_record_id":163,"organisation_id":2419,"relation":"maintains","created_at":"2021-09-30T09:27:18.364Z","updated_at":"2021-09-30T09:27:18.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":2419,"name":"REMARK group","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":5191,"fairsharing_record_id":163,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:27:18.326Z","updated_at":"2021-09-30T09:29:25.607Z","grant_id":244,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","grant":"C5529","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"164","type":"fairsharing_records","attributes":{"created_at":"2018-09-09T20:09:18.000Z","updated_at":"2023-09-15T13:53:38.257Z","metadata":{"doi":"10.25504/FAIRsharing.YugnuL","name":"Hyper Text Markup Language","status":"ready","contacts":[{"contact_name":"Xiaoqian Wu","contact_email":"xiaoqian@w3.org"}],"homepage":"https://html.spec.whatwg.org/","citations":[],"identifier":164,"description":"Hyper Text Markup Language (HTML) is the World Wide Web’s core markup language. It is used to create and design web pages and other information which can be displayed in a web browser. Originally, HTML was primarily designed as a language for semantically describing scientific documents. Its general design, however, has enabled it to be adapted, over the subsequent years, to describe a number of other types of documents and even applications.This specification defines an abstract language for describing documents and applications, and some APIs for interacting with in-memory representations of resources that use this language.","abbreviation":"HTML","support_links":[{"url":"https://github.com/whatwg/html/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/whatwg/html/blob/main/FAQ.md","name":"FAQ (via GitHub)","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/htmlstandard","name":"@htmlstandard","type":"Twitter"}],"year_creation":1993},"legacy_ids":["bsg-001284","bsg-s001284"],"name":"FAIRsharing record for: Hyper Text Markup Language","abbreviation":"HTML","url":"https://fairsharing.org/10.25504/FAIRsharing.YugnuL","doi":"10.25504/FAIRsharing.YugnuL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Hyper Text Markup Language (HTML) is the World Wide Web’s core markup language. It is used to create and design web pages and other information which can be displayed in a web browser. Originally, HTML was primarily designed as a language for semantically describing scientific documents. Its general design, however, has enabled it to be adapted, over the subsequent years, to describe a number of other types of documents and even applications.This specification defines an abstract language for describing documents and applications, and some APIs for interacting with in-memory representations of resources that use this language.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"model_and_format","subjects":["Computer Science","Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2236,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3333,"relation":"applies_to_content"}],"grants":[{"id":10860,"fairsharing_record_id":164,"organisation_id":4107,"relation":"maintains","created_at":"2023-09-15T13:39:43.429Z","updated_at":"2023-09-15T13:39:43.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":4107,"name":"Web Hypertext Application Technology Working Group (WHATWG)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"165","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:44:25.686Z","metadata":{"doi":"10.25504/FAIRsharing.ez2nhb","name":"Ontology for Parasite LifeCycle","status":"ready","contacts":[{"contact_name":"Priti Parikh","contact_email":"preets79@gmail.com"}],"homepage":"https://bioportal.bioontology.org/ontologies/OPL","identifier":165,"description":"OPL models the life cycle stage details of T.cruzi and two related kinetoplastids, Trypanosoma brucei and Leishmania major. In addition, the ontology also models necessary contextual details such as host information, vector information, strain and anatomical location. OPL is based on the Basic Formal Ontology (BFO) and follows the rules set by the OBO Foundry consortium.","abbreviation":"OPL","support_links":[{"url":"support@knoesis.org","name":"Kno.e.sis Support","type":"Support email"},{"url":"https://github.com/OPL-ontology/OPL/issues","name":"OPL Issue Tracker","type":"Github"},{"url":"https://github.com/OPL-ontology/OPL","name":"OPL on GitHub","type":"Github"}],"year_creation":2011,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OPL","name":"OPL","portal":"BioPortal"},{"url":"http://www.obofoundry.org/ontology/opl.html","name":"opl","portal":"OBO Foundry"}]},"legacy_ids":["bsg-002590","bsg-s002590"],"name":"FAIRsharing record for: Ontology for Parasite LifeCycle","abbreviation":"OPL","url":"https://fairsharing.org/10.25504/FAIRsharing.ez2nhb","doi":"10.25504/FAIRsharing.ez2nhb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OPL models the life cycle stage details of T.cruzi and two related kinetoplastids, Trypanosoma brucei and Leishmania major. In addition, the ontology also models necessary contextual details such as host information, vector information, strain and anatomical location. OPL is based on the Basic Formal Ontology (BFO) and follows the rules set by the OBO Foundry consortium.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Developmental Biology","Life Science"],"domains":["Parasite","Host","Life cycle","Life cycle stage"],"taxonomies":["Leishmania major","Trypanosoma brucei","Trypanosoma cruzi"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":759,"pubmed_id":22621763,"title":"The Ontology for Parasite Lifecycle (OPL): towards a consistent vocabulary of lifecycle stages in parasitic organisms.","year":2012,"url":"http://doi.org/10.1186/2041-1480-3-5","authors":"Parikh PP,Zheng J,Logan-Klumpler F,Stoeckert CJ Jr,Louis C,Topalis P,Protasio AV,Sheth AP,Carrington M,Berriman M,Sahoo SS","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-3-5","created_at":"2021-09-30T08:23:43.612Z","updated_at":"2021-09-30T08:23:43.612Z"}],"licence_links":[],"grants":[{"id":7889,"fairsharing_record_id":165,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:29:26.900Z","updated_at":"2021-09-30T09:29:26.940Z","grant_id":255,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"085822","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5195,"fairsharing_record_id":165,"organisation_id":556,"relation":"maintains","created_at":"2021-09-30T09:27:18.492Z","updated_at":"2021-09-30T09:27:18.492Z","grant_id":null,"is_lead":false,"saved_state":{"id":556,"name":"College of Engineering and Computer Science (KNO.E.SIS), Fairborn, OH, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5198,"fairsharing_record_id":165,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:27:18.618Z","updated_at":"2021-09-30T09:28:59.761Z","grant_id":46,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN272200900039C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5197,"fairsharing_record_id":165,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:27:18.576Z","updated_at":"2021-09-30T09:29:00.050Z","grant_id":48,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":5199,"fairsharing_record_id":165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:18.657Z","updated_at":"2021-09-30T09:29:03.262Z","grant_id":73,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5R01GM93132-1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5196,"fairsharing_record_id":165,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:27:18.535Z","updated_at":"2021-09-30T09:32:19.866Z","grant_id":1570,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01HL087795-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5194,"fairsharing_record_id":165,"organisation_id":971,"relation":"funds","created_at":"2021-09-30T09:27:18.443Z","updated_at":"2021-09-30T09:29:06.061Z","grant_id":93,"is_lead":false,"saved_state":{"id":971,"name":"EVIMALAR network of excellence (EMBL)","grant":"242095","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"166","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:34.000Z","updated_at":"2021-11-24T13:18:31.193Z","metadata":{"doi":"10.25504/FAIRsharing.cz9cnp","name":"Ontology of Host-Microbe Interactions","status":"ready","contacts":[{"contact_name":"Oliver He","contact_email":"yongqunh@med.umich.edu"}],"homepage":"https://github.com/ohmi-ontology/ohmi","identifier":166,"description":"OHMI is aimed to ontologically represent various entities and relations related to microbiomes, microbiome host organisms (e.g., human and mouse), and the interactions between the hosts and microbiomes at different conditions.","abbreviation":"OHMI","year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OHMI","name":"OHMI","portal":"BioPortal"}]},"legacy_ids":["bsg-000953","bsg-s000953"],"name":"FAIRsharing record for: Ontology of Host-Microbe Interactions","abbreviation":"OHMI","url":"https://fairsharing.org/10.25504/FAIRsharing.cz9cnp","doi":"10.25504/FAIRsharing.cz9cnp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OHMI is aimed to ontologically represent various entities and relations related to microbiomes, microbiome host organisms (e.g., human and mouse), and the interactions between the hosts and microbiomes at different conditions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science"],"domains":["Host","Microbiome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5200,"fairsharing_record_id":166,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:27:18.693Z","updated_at":"2021-09-30T09:27:18.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5201,"fairsharing_record_id":166,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:18.732Z","updated_at":"2021-09-30T09:27:18.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5202,"fairsharing_record_id":166,"organisation_id":3123,"relation":"maintains","created_at":"2021-09-30T09:27:18.774Z","updated_at":"2021-09-30T09:27:18.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":3123,"name":"University of South Carolina, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"167","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:13:50.523Z","metadata":{"doi":"10.25504/FAIRsharing.aej2a8","name":"Galen Ontology","status":"uncertain","contacts":[{"contact_name":"Julian Seidenberg","contact_email":"j@deltaflow.com"}],"homepage":"http://bioportal.bioontology.org/ontologies/1055","identifier":167,"description":"A translation of the full Galen ontology (from the OpenGALEN project) into the OWL description logic.","abbreviation":"GALEN","support_links":[{"url":"http://www.deltaflow.com/wp-content/pdf/seidenberg-www2006.pdf","name":"Conference papers","type":"Help documentation"}],"year_creation":1991},"legacy_ids":["bsg-002607","bsg-s002607"],"name":"FAIRsharing record for: Galen Ontology","abbreviation":"GALEN","url":"https://fairsharing.org/10.25504/FAIRsharing.aej2a8","doi":"10.25504/FAIRsharing.aej2a8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A translation of the full Galen ontology (from the OpenGALEN project) into the OWL description logic.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Life Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom"],"publications":[{"id":2352,"pubmed_id":null,"title":"Web Ontology Segmentation: Analysis, Classification and Use","year":2006,"url":"https://www.researchgate.net/publication/221022817_Web_Ontology_Segmentation_Analysis_Classification_and_Use","authors":"Julian Seidenberg, Alan Rector","journal":"Proceedings of the 15th international conference on World Wide Web, WWW 2006, Edinburgh, Scotland, UK, May 23-26, 2006","doi":null,"created_at":"2021-09-30T08:26:49.090Z","updated_at":"2021-09-30T11:28:35.092Z"}],"licence_links":[],"grants":[{"id":5203,"fairsharing_record_id":167,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:27:18.805Z","updated_at":"2021-09-30T09:27:18.805Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":5204,"fairsharing_record_id":167,"organisation_id":1389,"relation":"maintains","created_at":"2021-09-30T09:27:18.828Z","updated_at":"2021-09-30T09:27:18.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1389,"name":"Institute for Molecules and Materials (IMM), Radboud University, Nijmegen, The Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"152","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:48:55.469Z","metadata":{"doi":"10.25504/FAIRsharing.phk7dd","name":"C. elegans gross anatomy","status":"ready","contacts":[{"contact_name":"Raymond Lee","contact_email":"raymond@caltech.edu","contact_orcid":"0000-0002-8151-7479"}],"homepage":"https://www.wormbase.org/tools/ontology_browser","citations":[],"identifier":152,"description":"A structured controlled vocabulary of the anatomy of Caenorhabditis elegans.","abbreviation":"WB-BT","support_links":[{"url":"https://www.wormbase.org/tools/support?url=/","name":"General contact","type":"Contact form"}],"year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/WB-BT","name":"BioPortal: WB-BT","portal":"BioPortal"},{"url":"https://obofoundry.org/ontology/wbbt.html","name":"OBO Foundry: wbbt","portal":"OBO Foundry"}]},"legacy_ids":["bsg-000020","bsg-s000020"],"name":"FAIRsharing record for: C. elegans gross anatomy","abbreviation":"WB-BT","url":"https://fairsharing.org/10.25504/FAIRsharing.phk7dd","doi":"10.25504/FAIRsharing.phk7dd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A structured controlled vocabulary of the anatomy of Caenorhabditis elegans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Anatomy","Life Science"],"domains":["Cell"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1650,"pubmed_id":18629098,"title":"Building a cell and anatomy ontology of Caenorhabditis elegans.","year":2008,"url":"http://doi.org/10.1002/cfg.248","authors":"Lee RY,Sternberg PW","journal":"Comp Funct Genomics","doi":"10.1002/cfg.248","created_at":"2021-09-30T08:25:24.863Z","updated_at":"2021-09-30T08:25:24.863Z"}],"licence_links":[{"licence_name":"Wormbase licence","licence_id":921,"licence_url":"https://wormbase.org/about/policies","link_id":2672,"relation":"applies_to_content"}],"grants":[{"id":5167,"fairsharing_record_id":152,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:27:17.563Z","updated_at":"2021-09-30T09:27:17.563Z","grant_id":null,"is_lead":false,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"153","type":"fairsharing_records","attributes":{"created_at":"2017-10-24T08:41:33.000Z","updated_at":"2022-07-20T11:56:47.086Z","metadata":{"doi":"10.25504/FAIRsharing.8ajxrw","name":"Neuroscience Domain Insight Graphs","status":"ready","contacts":[{"contact_name":"Gully Burns","contact_email":"gullyburns@gmail.com"}],"homepage":"https://github.com/SciKnowEngine/SciDIG","identifier":153,"description":"Neuroscience Domain Insight Graphs (neuDIGs) was created to serve the needs of systems-level neuroscience: an advanced, complex scientific subject. The goal is to provide a large-scale, practical, common representation for neuroscientific knowledge that is primarily concerned with properties and characteristics of neuron populations that may (or may not) be explicitly identified by name.","abbreviation":"neuDIGs","support_links":[{"url":"http://usc-isi-i2.github.io/dig/","name":"Domain-specific Insight Graph Documentation","type":"Github"}],"year_creation":2017,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NEUDIGS","name":"NEUDIGS","portal":"BioPortal"}]},"legacy_ids":["bsg-000949","bsg-s000949"],"name":"FAIRsharing record for: Neuroscience Domain Insight Graphs","abbreviation":"neuDIGs","url":"https://fairsharing.org/10.25504/FAIRsharing.8ajxrw","doi":"10.25504/FAIRsharing.8ajxrw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Neuroscience Domain Insight Graphs (neuDIGs) was created to serve the needs of systems-level neuroscience: an advanced, complex scientific subject. The goal is to provide a large-scale, practical, common representation for neuroscientific knowledge that is primarily concerned with properties and characteristics of neuron populations that may (or may not) be explicitly identified by name.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Life Science","Biomedical Science","Neuroscience"],"domains":["Neuron"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":5168,"fairsharing_record_id":153,"organisation_id":1346,"relation":"maintains","created_at":"2021-09-30T09:27:17.586Z","updated_at":"2021-09-30T09:27:17.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":1346,"name":"Information Sciences Institute, University of Southern California, Los Angeles, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"154","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:14:15.219Z","metadata":{"doi":"10.25504/FAIRsharing.a0r156","name":"Ontology of Glucose Metabolism Disorder","status":"ready","contacts":[{"contact_name":"Yu Lin","contact_email":"linikujp@gmail.com"}],"homepage":"https://code.google.com/p/ogsf/","identifier":154,"description":"Ontology of Glucose Metabolism Disorder includes disease names, phenotypes and their classifications involved in Glucose Metabolism Disorder, Diabetes. It must be used with other two ontologies, in the case of Diabetes: the Ontology of Geographical Region (OGR) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","abbreviation":"OGMD","support_links":[{"url":"http://www.hegroup.org/ontoden/index.php#ontology","name":"He Group Ontology page","type":"Help documentation"}],"year_creation":2009,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/OGMD","name":"OGMD","portal":"BioPortal"}]},"legacy_ids":["bsg-002632","bsg-s002632"],"name":"FAIRsharing record for: Ontology of Glucose Metabolism Disorder","abbreviation":"OGMD","url":"https://fairsharing.org/10.25504/FAIRsharing.a0r156","doi":"10.25504/FAIRsharing.a0r156","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ontology of Glucose Metabolism Disorder includes disease names, phenotypes and their classifications involved in Glucose Metabolism Disorder, Diabetes. It must be used with other two ontologies, in the case of Diabetes: the Ontology of Geographical Region (OGR) and the Ontology for Genetic Disease Investigations (OGDI). Together, these three ontologies form the Ontology for Genetic Susceptibility Factor (OGSF), which is the project where information about this ontology is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Genetics","Metabolomics","Biomedical Science"],"domains":["Glucose","Disease process modeling","Glucose metabolic process","Phenotype","Disease","Diabetes mellitus"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":449,"pubmed_id":24963371,"title":"The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events.","year":2014,"url":"http://doi.org/10.1186/2041-1480-5-19","authors":"Lin Y,He Y","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-5-19","created_at":"2021-09-30T08:23:08.751Z","updated_at":"2021-09-30T08:23:08.751Z"},{"id":1699,"pubmed_id":20847592,"title":"Ontology driven modeling for the knowledge of genetic susceptibility to disease.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/20847592","authors":"Lin Y,Sakamoto N","journal":"Kobe J Med Sci","doi":null,"created_at":"2021-09-30T08:25:30.403Z","updated_at":"2021-09-30T08:25:30.403Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":971,"relation":"undefined"}],"grants":[{"id":5169,"fairsharing_record_id":154,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:27:17.611Z","updated_at":"2021-09-30T09:27:17.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"155","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-04-11T12:07:19.559Z","metadata":{"doi":"10.25504/FAIRsharing.901nkj","name":"National Drug File","status":"ready","contacts":[{"contact_name":"Michael J. Lincoln","contact_email":"michael.lincoln@va.gov"}],"homepage":"http://bioportal.bioontology.org/ontologies/NDFRT","identifier":155,"description":"The National Drug File Reference Terminology contains a novel reference hierarchy to describe physiologic effects (PE) of drugs.","abbreviation":"NDFRT","year_creation":2002,"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/NDFRT","name":"NDFRT","portal":"BioPortal"}]},"legacy_ids":["bsg-002592","bsg-s002592"],"name":"FAIRsharing record for: National Drug File","abbreviation":"NDFRT","url":"https://fairsharing.org/10.25504/FAIRsharing.901nkj","doi":"10.25504/FAIRsharing.901nkj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Drug File Reference Terminology contains a novel reference hierarchy to describe physiologic effects (PE) of drugs.","linked_records":[],"linking_records":[{"linking_record_name":"eTRIKS Standards Starter Pack","linking_record_id":3510,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11278},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11720},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12014}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Medicine","Health Science","Physiology","Biomedical Science"],"domains":["Drug name","Chemical entity"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1410,"pubmed_id":14728237,"title":"Adequacy of representation of the National Drug File Reference Terminology Physiologic Effects reference hierarchy for commonly prescribed medications.","year":2004,"url":"https://www.ncbi.nlm.nih.gov/pubmed/14728237","authors":"Rosenbloom ST,Awad J,Speroff T,Elkin PL,Rothman R,Spickard A 3rd,Peterson J,Bauer BA,Wahner-Roedler DL,Lee M,Gregg WM,Johnson KB,Jirjis J,Erlbaum MS,Carter JS,Lincoln MJ,Brown SH","journal":"AMIA Annu Symp Proc","doi":null,"created_at":"2021-09-30T08:24:57.615Z","updated_at":"2021-09-30T08:24:57.615Z"}],"licence_links":[{"licence_name":"UMLS Metathesaurus License","licence_id":811,"licence_url":"https://uts.nlm.nih.gov/license.html","link_id":223,"relation":"undefined"}],"grants":[{"id":5170,"fairsharing_record_id":155,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:27:17.641Z","updated_at":"2021-09-30T09:31:47.303Z","grant_id":1326,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"LM6918-A102","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5172,"fairsharing_record_id":155,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:27:17.721Z","updated_at":"2021-09-30T09:31:01.633Z","grant_id":983,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"3 U01 GM61388-03S1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9174,"fairsharing_record_id":155,"organisation_id":2948,"relation":"maintains","created_at":"2022-04-11T12:07:19.545Z","updated_at":"2022-04-11T12:07:19.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":2948,"name":"United States Department of Veterans Affairs","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"156","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T13:05:49.000Z","updated_at":"2022-07-20T10:30:54.399Z","metadata":{"doi":"10.25504/FAIRsharing.YAdSwh","name":"FAIR Maturity Indicator Gen2-MI-R1.1","status":"ready","contacts":[{"contact_name":"Mark Wilkinson","contact_email":"mark.wilkinson@upm.es","contact_orcid":"0000-0001-6960-357X"}],"homepage":"https://github.com/FAIRMetrics/Metrics/blob/master/MaturityIndicators/Gen2/Gen2_MI_R1.1.md","identifier":156,"description":"The FAIR Maturity Indicator Gen2-MI-R1.1 Maturity Indicator measures the presence of a pointer in the metadata to the data license. Data that does not have a license cannot (legitimately) be reused, since the conditions of that reuse are not known.","abbreviation":null,"support_links":[{"url":"https://github.com/FAIRMetrics/Metrics/tree/master/MaturityIndicators","name":"FAIRMetrics Maturity Indicators","type":"Github"}],"year_creation":2019,"associated_tools":[{"url":"https://W3id.org/AmIFAIR","name":"FAIR Evaluation Services"}]},"legacy_ids":["bsg-001368","bsg-s001368"],"name":"FAIRsharing record for: FAIR Maturity Indicator Gen2-MI-R1.1","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.YAdSwh","doi":"10.25504/FAIRsharing.YAdSwh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIR Maturity Indicator Gen2-MI-R1.1 Maturity Indicator measures the presence of a pointer in the metadata to the data license. Data that does not have a license cannot (legitimately) be reused, since the conditions of that reuse are not known.","linked_records":[],"linking_records":[{"linking_record_name":"Medical Affairs at Bayer FAIR Implementation Profile","linking_record_id":3607,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13187},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13217},{"linking_record_name":"Bio-assay management at Novartis FAIR Implementation Profile","linking_record_id":3613,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13248},{"linking_record_name":"Clinical trial data at Roche FAIR Implementation Profile","linking_record_id":3614,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13262},{"linking_record_name":"FAIR Maturity Indicators","linking_record_id":5685,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20177}],"fairsharing_registry":"Standard","record_type":"reporting_guideline","subjects":["Data Management","Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","Spain","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1479,"relation":"undefined"}],"grants":[{"id":5173,"fairsharing_record_id":156,"organisation_id":799,"relation":"maintains","created_at":"2021-09-30T09:27:17.754Z","updated_at":"2021-09-30T09:27:17.754Z","grant_id":null,"is_lead":false,"saved_state":{"id":799,"name":"Dutch Techcentre for Life Sciences, Utrecht, the Netherlands","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":5174,"fairsharing_record_id":156,"organisation_id":3235,"relation":"maintains","created_at":"2021-09-30T09:27:17.777Z","updated_at":"2021-09-30T09:27:17.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":3235,"name":"Wilkinson Laboratory, Centro de Biotecnologia y Genomica de Plantas, UPM-INIA, Madrid, Spain","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":5175,"fairsharing_record_id":156,"organisation_id":1412,"relation":"maintains","created_at":"2021-09-30T09:27:17.803Z","updated_at":"2021-09-30T09:27:17.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":1412,"name":"Institute of Data Science, Maastricht University, Maastricht, The Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":5176,"fairsharing_record_id":156,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:27:17.887Z","updated_at":"2021-09-30T09:27:17.887Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"157","type":"fairsharing_records","attributes":{"created_at":"2015-09-17T08:11:12.000Z","updated_at":"2022-07-20T10:19:24.901Z","metadata":{"doi":"10.25504/FAIRsharing.knp11s","name":"Cellular Microscopy Phenotype Ontology","status":"ready","contacts":[],"homepage":"http://www.ebi.ac.uk/cmpo/","citations":[{"doi":"10.1186/s13326-016-0074-0","pubmed_id":27195102,"publication_id":1187}],"identifier":157,"description":"Cellular Microscopy Phenotype Ontology (CMPO) is a species neutral ontology for describing general phenotypic observations relating to the whole cell, cellular components, cellular processes and cell populations","abbreviation":"CMPO","support_links":[{"url":"ontology-tools-support@ebi.ac.uk","name":"Helpdesk","type":"Support email"},{"url":"jupp@ebi.ac.uk","name":"jupp@ebi.ac.uk","type":"Support email"},{"url":"https://github.com/EBISPOT/cmpo/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://github.com/EBISPOT/CMPO","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/cellular-microscopy-phenotype-ontology-cmpo-quick-tour","name":"Cellular microscopy phenotype ontology cmpo quick tour","type":"TeSS links to training materials"}],"year_creation":2013,"associated_tools":[{"url":"https://www.ebi.ac.uk/spot/zooma/","name":"Zooma"},{"url":"http://bioportal.bioontology.org/annotator","name":"NCBO Annotator"}],"cross_references":[{"url":"https://bioportal.bioontology.org/ontologies/CMPO","name":"CMPO","portal":"BioPortal"}]},"legacy_ids":["bsg-000617","bsg-s000617"],"name":"FAIRsharing record for: Cellular Microscopy Phenotype Ontology","abbreviation":"CMPO","url":"https://fairsharing.org/10.25504/FAIRsharing.knp11s","doi":"10.25504/FAIRsharing.knp11s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cellular Microscopy Phenotype Ontology (CMPO) is a species neutral ontology for describing general phenotypic observations relating to the whole cell, cellular components, cellular processes and cell populations","linked_records":[],"linking_records":[{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18245},{"linking_record_name":"Cell Migration Standardisation Organisation","linking_record_id":3497,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10884}],"fairsharing_registry":"Standard","record_type":"terminology_artefact","subjects":["Cell Biology"],"domains":["Cell","Microscopy","Cellular component","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1187,"pubmed_id":27195102,"title":"The cellular microscopy phenotype ontology.","year":2016,"url":"http://doi.org/10.1186/s13326-016-0074-0","authors":"Jupp S,Malone J,Burdett T,Heriche JK,Williams E,Ellenberg J,Parkinson H,Rustici G","journal":"J Biomed Semantics","doi":"10.1186/s13326-016-0074-0","created_at":"2021-09-30T08:24:31.992Z","updated_at":"2021-09-30T08:24:31.992Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":501,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":502,"relation":"undefined"}],"grants":[{"id":5177,"fairsharing_record_id":157,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:27:17.933Z","updated_at":"2021-09-30T09:27:17.933Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":5179,"fairsharing_record_id":157,"organisation_id":2697,"relation":"funds","created_at":"2021-09-30T09:27:18.005Z","updated_at":"2021-09-30T09:30:19.448Z","grant_id":657,"is_lead":false,"saved_state":{"id":2697,"name":"Systems Microscopy Network of Excellence, European Union","grant":"EU FP7 258068","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":5180,"fairsharing_record_id":157,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:27:18.028Z","updated_at":"2021-09-30T09:31:13.908Z","grant_id":1076,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M018423/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":5178,"fairsharing_record_id":157,"organisation_id":888,"relation":"funds","created_at":"2021-09-30T09:27:17.972Z","updated_at":"2021-09-30T09:32:38.088Z","grant_id":1710,"is_lead":false,"saved_state":{"id":888,"name":"EU FP7 BioMedBridges","grant":"EU FP7 284209","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2061","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:26:03.527Z","metadata":{"doi":"10.25504/FAIRsharing.vxz9pn","name":"SWISS-MODEL Repository of 3D protein structure models","status":"ready","contacts":[{"contact_name":"Torsten Schwede","contact_email":"help-swissmodel@unibas.ch","contact_orcid":"0000-0003-2715-335X"}],"homepage":"https://swissmodel.expasy.org/repository/","citations":[{"doi":"10.1093/nar/gkw1132","pubmed_id":27899672,"publication_id":1934}],"identifier":2061,"description":"The SWISS-MODEL Repository is a database of annotated 3D protein structure models generated by the SWISS-MODEL homology-modelling pipeline for protein sequences of selected model organisms.","abbreviation":"SWISS-MODEL","data_curation":{"type":"not found"},"support_links":[{"url":"help-swissmodel@unibas.ch","type":"Support email"},{"url":"https://swissmodel.expasy.org/docs/help","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/qmean/help","name":"QMEAN help","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/lddt/help/","name":"lDDT web server documentation","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/assess/help","name":"Structure Assessment help","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/comparison/help","name":"Structure Comparison","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/docs/examples","name":"Examples","type":"Help documentation"},{"url":"https://swissmodel.expasy.org/course","name":"Protein structure course","type":"Training documentation"},{"url":"https://swissmodel.expasy.org/docs/tutorial","name":"Video tutorial","type":"Training documentation"},{"url":"https://twitter.com/SWISS_MODEL","type":"Twitter"}],"year_creation":1993,"data_versioning":"no","associated_tools":[{"url":"https://swissmodel.expasy.org/qmean/","name":"QMEAN"},{"url":"https://swissmodel.expasy.org/interactive","name":"SWISS-MODEL Workspace"},{"url":"https://swissmodel.expasy.org/lddt","name":"lDDT"},{"url":"https://swissmodel.expasy.org/assess","name":"Structure Assessment"},{"url":"https://swissmodel.expasy.org/comparison/","name":"Structure Comparison"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010605","name":"re3data:r3d100010605","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013032","name":"SciCrunch:RRID:SCR_013032","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://swissmodel.expasy.org/repository/annotation","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000528","bsg-d000528"],"name":"FAIRsharing record for: SWISS-MODEL Repository of 3D protein structure models","abbreviation":"SWISS-MODEL","url":"https://fairsharing.org/10.25504/FAIRsharing.vxz9pn","doi":"10.25504/FAIRsharing.vxz9pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SWISS-MODEL Repository is a database of annotated 3D protein structure models generated by the SWISS-MODEL homology-modelling pipeline for protein sequences of selected model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11354},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11531},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12170},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12317},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12683}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Molecular structure","Mathematical model","Protein structure","Structure","Protein"],"taxonomies":["All","Viruses"],"user_defined_tags":["COVID-19"],"countries":["Switzerland"],"publications":[{"id":885,"pubmed_id":18931379,"title":"The SWISS-MODEL Repository and associated resources.","year":2008,"url":"http://doi.org/10.1093/nar/gkn750","authors":"Kiefer F,Arnold K,Kunzli M,Bordoli L,Schwede T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn750","created_at":"2021-09-30T08:23:57.727Z","updated_at":"2021-09-30T11:28:54.909Z"},{"id":1499,"pubmed_id":24782522,"title":"SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information.","year":2014,"url":"http://doi.org/10.1093/nar/gku340","authors":"Biasini M,Bienert S,Waterhouse A,Arnold K,Studer G,Schmidt T,Kiefer F,Cassarino TG,Bertoni M,Bordoli L,Schwede T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku340","created_at":"2021-09-30T08:25:07.865Z","updated_at":"2021-09-30T11:29:11.185Z"},{"id":1934,"pubmed_id":27899672,"title":"The SWISS-MODEL Repository-new features and functionality.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1132","authors":"Bienert S,Waterhouse A,de Beer TA,Tauriello G,Studer G,Bordoli L,Schwede T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1132","created_at":"2021-09-30T08:25:57.712Z","updated_at":"2021-09-30T11:29:24.311Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":43,"relation":"undefined"},{"licence_name":"SWISS-MODEL Terms of Use","licence_id":764,"licence_url":"https://swissmodel.expasy.org/docs/terms_of_use","link_id":47,"relation":"undefined"}],"grants":[{"id":1548,"fairsharing_record_id":2061,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:11.021Z","updated_at":"2024-03-27T22:14:47.215Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWdFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4e6944e96d168968b1e167332b78bcaaa7532185/Screenshot%20from%202024-03-27%2022-13-43.png?disposition=inline","exhaustive_licences":false}},{"id":"2062","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-05-03T09:34:04.821Z","metadata":{"doi":"10.25504/FAIRsharing.1m6pt7","name":"UniPathway","status":"deprecated","contacts":[{"contact_name":"Alain Viari","contact_email":"alain.viari@inria.fr"}],"homepage":"http://www.grenoble.prabi.fr/obiwarehouse/unipathway","citations":[],"identifier":2062,"description":"UniPathway is a manually curated resource of metabolic pathways for the UniProtKB/Swiss-Prot knowledgebase. It provides a structured controlled vocabulary to describe the role of a protein in a metabolic pathway.","abbreviation":"UniPathway","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.grenoble.prabi.fr/obiwarehouse/unipathway/welcome/about/documentation/documentation_overview","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2016-12-28","deprecation_reason":"Due to technical and financial reasons this website is no longer being maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000529","bsg-d000529"],"name":"FAIRsharing record for: UniPathway","abbreviation":"UniPathway","url":"https://fairsharing.org/10.25504/FAIRsharing.1m6pt7","doi":"10.25504/FAIRsharing.1m6pt7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniPathway is a manually curated resource of metabolic pathways for the UniProtKB/Swiss-Prot knowledgebase. It provides a structured controlled vocabulary to describe the role of a protein in a metabolic pathway.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Pathway model"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Switzerland"],"publications":[{"id":454,"pubmed_id":22102589,"title":"UniPathway: a resource for the exploration and annotation of metabolic pathways.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1023","authors":"Morgat A., Coissac E., Coudert E., Axelsen KB., Keller G., Bairoch A., Bridge A., Bougueleret L., Xenarios I., Viari A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1023","created_at":"2021-09-30T08:23:09.275Z","updated_at":"2021-09-30T08:23:09.275Z"}],"licence_links":[],"grants":[{"id":1549,"fairsharing_record_id":2062,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:11.063Z","updated_at":"2021-09-30T09:25:11.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1551,"fairsharing_record_id":2062,"organisation_id":966,"relation":"funds","created_at":"2021-09-30T09:25:11.138Z","updated_at":"2021-09-30T09:25:11.138Z","grant_id":null,"is_lead":false,"saved_state":{"id":966,"name":"European Union, Serving Life-science Information for the Next Generation (SLING)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1550,"fairsharing_record_id":2062,"organisation_id":1058,"relation":"funds","created_at":"2021-09-30T09:25:11.101Z","updated_at":"2021-09-30T09:28:58.251Z","grant_id":36,"is_lead":false,"saved_state":{"id":1058,"name":"French Government, France","grant":"ANR MIRI BLAN08-1335497","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2063","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:24:10.722Z","metadata":{"doi":"10.25504/FAIRsharing.we178a","name":"World-2DPAGE Repository","status":"deprecated","contacts":[],"homepage":"https://world-2dpage.expasy.org/repository/","citations":[],"identifier":2063,"description":"A public standards-compliant repository for gel-based proteomics data linked to protein identification published in the literature, and stores a collection of multi-species reference maps, with thousands of identified spots..","abbreviation":"World-2DPAGE","data_curation":{"type":"not found"},"support_links":[{"url":"https://world-2dpage.expasy.org/contact","type":"Contact form"},{"url":"https://world-2dpage.expasy.org/swiss-2dpage/docs/manch2d.html","name":"SWISS-2DPAGE User Manual","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://world-2dpage.expasy.org/make2ddb/","name":"Make 2D-DB II 3.10.2"}],"deprecation_date":"2023-05-04","deprecation_reason":"As described on the database homepage, World-2DPAGE is no longer maintained. Previously submitted data can, however, still be queried.","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000530","bsg-d000530"],"name":"FAIRsharing record for: World-2DPAGE Repository","abbreviation":"World-2DPAGE","url":"https://fairsharing.org/10.25504/FAIRsharing.we178a","doi":"10.25504/FAIRsharing.we178a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A public standards-compliant repository for gel-based proteomics data linked to protein identification published in the literature, and stores a collection of multi-species reference maps, with thousands of identified spots..","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Proteomics"],"domains":["Molecular structure","2D PAGE image","Protein identification","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1841,"pubmed_id":18617148,"title":"The World-2DPAGE Constellation to promote and publish gel-based proteomics data through the ExPASy server.","year":2008,"url":"http://doi.org/10.1016/j.jprot.2008.02.005","authors":"Hoogland C,Mostaguir K,Appel RD,Lisacek F","journal":"J Proteomics","doi":"10.1016/j.jprot.2008.02.005","created_at":"2021-09-30T08:25:46.763Z","updated_at":"2021-09-30T08:25:46.763Z"}],"licence_links":[{"licence_name":"ExPASy Terms of Use","licence_id":305,"licence_url":"https://www.expasy.org/terms-of-use","link_id":769,"relation":"undefined"}],"grants":[{"id":1552,"fairsharing_record_id":2063,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:11.180Z","updated_at":"2023-05-04T11:27:41.406Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2047","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:44.096Z","metadata":{"doi":"10.25504/FAIRsharing.2s4n8r","name":"MEROPS","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"merops@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/merops/","identifier":2047,"description":"The MEROPS database is an information resource for peptidases (also termed proteases, proteinases and proteolytic enzymes) and the proteins that inhibit them.","abbreviation":"MEROPS","data_curation":{"type":"not found"},"support_links":[{"url":"http://meropsdb.wordpress.com","type":"Blog/News"},{"url":"https://www.ebi.ac.uk/merops/about/index.shtml","type":"Help documentation"}],"year_creation":1996,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012783","name":"re3data:r3d100012783","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007777","name":"SciCrunch:RRID:SCR_007777","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000514","bsg-d000514"],"name":"FAIRsharing record for: MEROPS","abbreviation":"MEROPS","url":"https://fairsharing.org/10.25504/FAIRsharing.2s4n8r","doi":"10.25504/FAIRsharing.2s4n8r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MEROPS database is an information resource for peptidases (also termed proteases, proteinases and proteolytic enzymes) and the proteins that inhibit them.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12679}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Molecular structure","Proteolytic digest","Protein structure","Protein domain","Nucleic acid sequence","DNA sequence data","Enzyme","Structure","Protein","Amino acid sequence","Protease site"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":405,"pubmed_id":17991683,"title":"MEROPS: the peptidase database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm954","authors":"Rawlings ND., Morton FR., Kok CY., Kong J., Barrett AJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm954","created_at":"2021-09-30T08:23:04.008Z","updated_at":"2021-09-30T08:23:04.008Z"},{"id":1404,"pubmed_id":29145643,"title":"The MEROPS database of proteolytic enzymes, their substrates and inhibitors in 2017 and a comparison with peptidases in the PANTHER database.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1134","authors":"Rawlings ND,Barrett AJ,Thomas PD,Huang X,Bateman A,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1134","created_at":"2021-09-30T08:24:56.981Z","updated_at":"2021-09-30T11:29:07.960Z"},{"id":1571,"pubmed_id":8439290,"title":"Evolutionary families of peptidases.","year":1993,"url":"http://doi.org/10.1042/bj2900205","authors":"Rawlings ND,Barrett AJ","journal":"Biochem J","doi":"10.1042/bj2900205","created_at":"2021-09-30T08:25:16.159Z","updated_at":"2021-09-30T08:25:16.159Z"},{"id":1572,"pubmed_id":9847218,"title":"MEROPS: the peptidase database.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.325","authors":"Rawlings ND,Barrett AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/27.1.325","created_at":"2021-09-30T08:25:16.257Z","updated_at":"2021-09-30T11:29:14.110Z"},{"id":1573,"pubmed_id":22086950,"title":"MEROPS: the database of proteolytic enzymes, their substrates and inhibitors.","year":2011,"url":"http://doi.org/10.1093/nar/gkr987","authors":"Rawlings ND,Barrett AJ,Bateman A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr987","created_at":"2021-09-30T08:25:16.357Z","updated_at":"2021-09-30T11:29:14.212Z"},{"id":1676,"pubmed_id":26527717,"title":"Twenty years of the MEROPS database of proteolytic enzymes, their substrates and inhibitors.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1118","authors":"Rawlings ND,Barrett AJ,Finn R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1118","created_at":"2021-09-30T08:25:27.768Z","updated_at":"2021-09-30T11:29:18.418Z"},{"id":1742,"pubmed_id":26455268,"title":"Peptidase specificity from the substrate cleavage collection in the MEROPS database and a tool to measure cleavage site conservation.","year":2015,"url":"http://doi.org/10.1016/j.biochi.2015.10.003","authors":"Rawlings ND","journal":"Biochimie","doi":"10.1016/j.biochi.2015.10.003","created_at":"2021-09-30T08:25:35.438Z","updated_at":"2021-09-30T08:25:35.438Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1429,"relation":"undefined"}],"grants":[{"id":1499,"fairsharing_record_id":2047,"organisation_id":851,"relation":"maintains","created_at":"2021-09-30T09:25:09.032Z","updated_at":"2021-09-30T09:25:09.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":851,"name":"EMBL-EBI Industry Programme, EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1498,"fairsharing_record_id":2047,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:08.994Z","updated_at":"2021-09-30T09:29:06.575Z","grant_id":97,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1501,"fairsharing_record_id":2047,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:09.162Z","updated_at":"2021-09-30T09:29:58.836Z","grant_id":497,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/N00521X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1500,"fairsharing_record_id":2047,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:09.120Z","updated_at":"2021-09-30T09:32:11.764Z","grant_id":1511,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458808","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7891,"fairsharing_record_id":2047,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:29:29.953Z","updated_at":"2021-09-30T09:29:30.010Z","grant_id":273,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT077044/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9245,"fairsharing_record_id":2047,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.967Z","updated_at":"2022-04-11T12:07:24.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2048","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-09T09:34:32.168Z","metadata":{"doi":"10.25504/FAIRsharing.xshwbf","name":"Sanger Pfam Mirror","status":"deprecated","contacts":[{"contact_name":"General Help","contact_email":"pfam-help@sanger.ac.uk"}],"homepage":"http://pfam.sanger.ac.uk/","citations":[],"identifier":2048,"description":"The Pfam database contains information about protein domains and families. For each entry a protein sequence alignment and a Hidden Markov Model is stored.","abbreviation":"Sanger Pfam","data_curation":{"type":"not found"},"support_links":[{"url":"http://pfam.sanger.ac.uk/help","type":"Help documentation"},{"url":"http://pfam.sanger.ac.uk/help#tabview=tab2","type":"Help documentation"},{"url":"http://pfam.sanger.ac.uk/help#tabview=tab3","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://pfam.sanger.ac.uk/search","name":"search"},{"url":"http://pfam.sanger.ac.uk/browse","name":"browse"},{"url":"http://pfam.sanger.ac.uk/search#tabview=tab2","name":"BLAST"}],"deprecation_date":"2016-05-10","deprecation_reason":"The maintainers associated with this resource have informed us that it is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000515","bsg-d000515"],"name":"FAIRsharing record for: Sanger Pfam Mirror","abbreviation":"Sanger Pfam","url":"https://fairsharing.org/10.25504/FAIRsharing.xshwbf","doi":"10.25504/FAIRsharing.xshwbf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Pfam database contains information about protein domains and families. For each entry a protein sequence alignment and a Hidden Markov Model is stored.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":664,"pubmed_id":22127870,"title":"The Pfam protein families database.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1065","authors":"Punta M., Coggill PC., Eberhardt RY., Mistry J., Tate J., Boursnell C., Pang N., Forslund K., Ceric G., Clements J., Heger A., Holm L., Sonnhammer EL., Eddy SR., Bateman A., Finn RD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1065","created_at":"2021-09-30T08:23:33.296Z","updated_at":"2021-09-30T08:23:33.296Z"},{"id":911,"pubmed_id":19920124,"title":"The Pfam protein families database.","year":2009,"url":"http://doi.org/10.1093/nar/gkp985","authors":"Finn RD., Mistry J., Tate J., Coggill P., Heger A., Pollington JE., Gavin OL., Gunasekaran P., Ceric G., Forslund K., Holm L., Sonnhammer EL., Eddy SR., Bateman A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp985","created_at":"2021-09-30T08:24:00.612Z","updated_at":"2021-09-30T08:24:00.612Z"},{"id":2296,"pubmed_id":24288371,"title":"Pfam: the protein families database.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1223","authors":"Finn RD,Bateman A,Clements J,Coggill P,Eberhardt RY,Eddy SR,Heger A,Hetherington K,Holm L,Mistry J,Sonnhammer EL,Tate J,Punta M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1223","created_at":"2021-09-30T08:26:40.493Z","updated_at":"2021-09-30T11:29:32.662Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1603,"relation":"undefined"}],"grants":[{"id":1504,"fairsharing_record_id":2048,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:09.264Z","updated_at":"2021-09-30T09:25:09.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1502,"fairsharing_record_id":2048,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:09.210Z","updated_at":"2021-09-30T09:29:30.022Z","grant_id":273,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT077044/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9223,"fairsharing_record_id":2048,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.521Z","updated_at":"2022-04-11T12:07:23.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2049","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:00.731Z","metadata":{"doi":"10.25504/FAIRsharing.mr293q","name":"The Vertebrate Genome Annotation Database","status":"deprecated","contacts":[{"contact_name":"Jennifer L Harrow","contact_email":"jla1@sanger.ac.uk","contact_orcid":"0000-0003-0338-3070"}],"homepage":"https://vega.archive.ensembl.org/index.html","citations":[],"identifier":2049,"description":"The Vertebrate Genome Annotation (VEGA) database is a central repository for high quality manual annotation of vertebrate finished genome sequence.","abbreviation":"VEGA","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://vega.sanger.ac.uk/Help/Contact/","type":"Contact form"},{"url":"http://vega.sanger.ac.uk/info/index.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://vega.sanger.ac.uk/Multi/blastview","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012575","name":"re3data:r3d100012575","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007907","name":"SciCrunch:RRID:SCR_007907","portal":"SciCrunch"}],"deprecation_date":"2022-06-15","deprecation_reason":"The final update of Vega, version 68, was released in February 2017 and is archived at vega.archive.ensembl.org. The resource was maintained until Feb 2020. Manual annotation by the Havana group will continue after this and will be accessible through GENCODE and Ensembl.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000516","bsg-d000516"],"name":"FAIRsharing record for: The Vertebrate Genome Annotation Database","abbreviation":"VEGA","url":"https://fairsharing.org/10.25504/FAIRsharing.mr293q","doi":"10.25504/FAIRsharing.mr293q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vertebrate Genome Annotation (VEGA) database is a central repository for high quality manual annotation of vertebrate finished genome sequence.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Sequence","Gene","Genome"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":493,"pubmed_id":18003653,"title":"The vertebrate genome annotation (Vega) database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm987","authors":"Wilming LG., Gilbert JG., Howe K., Trevanion S., Hubbard T., Harrow JL.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm987","created_at":"2021-09-30T08:23:13.576Z","updated_at":"2021-09-30T08:23:13.576Z"},{"id":1141,"pubmed_id":24316575,"title":"The Vertebrate Genome Annotation browser 10 years on.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1241","authors":"Harrow JL, Steward CA, Frankish A, Gilbert JG, Gonzalez JM, Loveland JE, Mudge J, Sheppard D, Thomas M, Trevanion S, Wilming LG.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt1241","created_at":"2021-09-30T08:24:26.817Z","updated_at":"2021-09-30T08:24:26.817Z"}],"licence_links":[{"licence_name":"Ensembl Privacy Statement","licence_id":282,"licence_url":"http://www.ensembl.org/info/about/legal/privacy.html","link_id":1169,"relation":"undefined"}],"grants":[{"id":1507,"fairsharing_record_id":2049,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:09.370Z","updated_at":"2021-09-30T09:25:09.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1506,"fairsharing_record_id":2049,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:09.333Z","updated_at":"2021-09-30T09:30:48.056Z","grant_id":877,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K009524/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1505,"fairsharing_record_id":2049,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:09.294Z","updated_at":"2021-09-30T09:29:06.590Z","grant_id":97,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1508,"fairsharing_record_id":2049,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:09.413Z","updated_at":"2021-09-30T09:32:15.821Z","grant_id":1539,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5U54HG004555","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2057","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:30.748Z","metadata":{"doi":"10.25504/FAIRsharing.x93ckv","name":"Stanford Microarray Database","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"array@genomics.princeton.edu"}],"homepage":"http://smd.princeton.edu/","identifier":2057,"description":"The Stanford Microarray Database is a repository a microarray based gene expression and comparative genomics data. This resource is no longer being maintained please us public repositories NCBI Gene Expression Omnibus or EBI Array Express","abbreviation":"SMD","data_curation":{"type":"not found"},"support_links":[{"url":"http://smd.princeton.edu/help/FAQ.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://smd.princeton.edu/help/index.shtml","type":"Help documentation"},{"url":"http://smd.princeton.edu/help/tutorials_subpage.shtml","type":"Training documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010555","name":"re3data:r3d100010555","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004987","name":"SciCrunch:RRID:SCR_004987","portal":"SciCrunch"}],"deprecation_date":"2016-12-21","deprecation_reason":"The database has been retired in January 2014.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000524","bsg-d000524"],"name":"FAIRsharing record for: Stanford Microarray Database","abbreviation":"SMD","url":"https://fairsharing.org/10.25504/FAIRsharing.x93ckv","doi":"10.25504/FAIRsharing.x93ckv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Stanford Microarray Database is a repository a microarray based gene expression and comparative genomics data. This resource is no longer being maintained please us public repositories NCBI Gene Expression Omnibus or EBI Array Express","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":675,"pubmed_id":17182626,"title":"The Stanford Microarray Database: implementation of new analysis tools and open source release of software.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1019","authors":"Demeter J., Beauheim C., Gollub J., Hernandez-Boussard T., Jin H., Maier D., Matese JC., Nitzberg M., Wymore F., Zachariah ZK., Brown PO., Sherlock G., Ball CA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1019","created_at":"2021-09-30T08:23:34.446Z","updated_at":"2021-09-30T08:23:34.446Z"}],"licence_links":[],"grants":[{"id":1534,"fairsharing_record_id":2057,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.450Z","updated_at":"2021-09-30T09:31:07.416Z","grant_id":1027,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 HG003469","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1533,"fairsharing_record_id":2057,"organisation_id":2625,"relation":"maintains","created_at":"2021-09-30T09:25:10.403Z","updated_at":"2021-09-30T09:25:10.403Z","grant_id":null,"is_lead":false,"saved_state":{"id":2625,"name":"Stanford University School of Medicine, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2058","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:56:58.673Z","metadata":{"doi":"10.25504/FAIRsharing.t7yckc","name":"Pharmacogenomics Knowledge Base","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"feedback@pharmgkb.org"}],"homepage":"https://www.pharmgkb.org/","citations":[],"identifier":2058,"description":"PharmGKB curates primary genotype and phenotype data, annotates gene variants and gene-drug-disease relationships via literature review, and summarizes important PGx genes and drug pathways. PharmGKB collects, curates and disseminates knowledge about the impact of human genetic variation on drug responses.","abbreviation":"PharmGKB","data_curation":{"url":"https://www.pharmgkb.org/page/faqs#what-data-are-manually-curated","type":"manual/automated"},"support_links":[{"url":"http://pharmgkb.blogspot.com","type":"Blog/News"},{"url":"https://www.pharmgkb.org/feedback","type":"Contact form"},{"url":"http://www.pharmgkb.org/page/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/pharmgkb","type":"Twitter"}],"year_creation":2001,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012325","name":"re3data:r3d100012325","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002689","name":"SciCrunch:RRID:SCR_002689","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000525","bsg-d000525"],"name":"FAIRsharing record for: Pharmacogenomics Knowledge Base","abbreviation":"PharmGKB","url":"https://fairsharing.org/10.25504/FAIRsharing.t7yckc","doi":"10.25504/FAIRsharing.t7yckc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PharmGKB curates primary genotype and phenotype data, annotates gene variants and gene-drug-disease relationships via literature review, and summarizes important PGx genes and drug pathways. PharmGKB collects, curates and disseminates knowledge about the impact of human genetic variation on drug responses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12681},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16193}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Expression data","Drug","Phenotype","Classification","Pathway model","Gene","Sequence variant","Gene-disease association","Genotype","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":498,"pubmed_id":11908751,"title":"Integrating genotype and phenotype information: an overview of the PharmGKB project. Pharmacogenetics Research Network and Knowledge Base.","year":2002,"url":"http://doi.org/10.1038/sj.tpj.6500035","authors":"Klein TE., Chang JT., Cho MK., Easton KL., Fergerson R., Hewett M., Lin Z., Liu Y., Liu S., Oliver DE., Rubin DL., Shafa F., Stuart JM., Altman RB.,","journal":"Pharmacogenomics J.","doi":"10.1038/sj.tpj.6500035","created_at":"2021-09-30T08:23:14.101Z","updated_at":"2021-09-30T08:23:14.101Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1084,"relation":"undefined"},{"licence_name":"PharmGKB Data Usage Policy","licence_id":661,"licence_url":"https://www.pharmgkb.org/page/dataUsagePolicy","link_id":1085,"relation":"undefined"}],"grants":[{"id":1537,"fairsharing_record_id":2058,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.526Z","updated_at":"2021-09-30T09:25:10.526Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1536,"fairsharing_record_id":2058,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:10.499Z","updated_at":"2021-09-30T09:29:54.142Z","grant_id":459,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R24 GM61374","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1535,"fairsharing_record_id":2058,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:25:10.473Z","updated_at":"2021-09-30T09:25:10.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFFCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7b5a4cbda608fcf58b6992075869e40ea5f34044/wordmark.png?disposition=inline","exhaustive_licences":false}},{"id":"2043","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:34:00.996Z","metadata":{"doi":"10.25504/FAIRsharing.2ma4gq","name":"Ligand Expo","status":"ready","contacts":[{"contact_name":"John Westbrook","contact_email":"jwest@rcsb.rutgers.edu","contact_orcid":"0000-0002-6686-5475"}],"homepage":"http://ligand-depot.rutgers.edu/","identifier":2043,"description":"Ligand Expo is a data resource for finding information about small molecules bound to proteins and nucleic acids. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry.","abbreviation":"Ligand Expo","data_curation":{"type":"not found"},"support_links":[{"url":"deposit@deposit.rcsb.org","type":"Support email"},{"url":"http://ligand-depot.rutgers.edu/help.html","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000510","bsg-d000510"],"name":"FAIRsharing record for: Ligand Expo","abbreviation":"Ligand Expo","url":"https://fairsharing.org/10.25504/FAIRsharing.2ma4gq","doi":"10.25504/FAIRsharing.2ma4gq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ligand Expo is a data resource for finding information about small molecules bound to proteins and nucleic acids. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Nucleic acid sequence","Protein interaction","Chemical entity","Small molecule binding","Molecular interaction","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":504,"pubmed_id":15059838,"title":"Ligand Depot: a data warehouse for ligands bound to macromolecules.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth214","authors":"Feng Z., Chen L., Maddula H., Akcan O., Oughtred R., Berman HM., Westbrook J.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth214","created_at":"2021-09-30T08:23:14.852Z","updated_at":"2021-09-30T08:23:14.852Z"}],"licence_links":[{"licence_name":"Ligand Expo Attribution required","licence_id":491,"licence_url":"http://ligand-depot.rutgers.edu/acknowledgements.html","link_id":1720,"relation":"undefined"}],"grants":[{"id":1480,"fairsharing_record_id":2043,"organisation_id":2476,"relation":"maintains","created_at":"2021-09-30T09:25:08.265Z","updated_at":"2021-09-30T09:25:08.265Z","grant_id":null,"is_lead":false,"saved_state":{"id":2476,"name":"Rutgers, The State University of New Jersey, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2046","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-07-11T07:48:56.481Z","metadata":{"doi":"10.25504/FAIRsharing.bh0k78","name":"Nucleic Acid Database","status":"deprecated","contacts":[{"contact_email":"ndbadmin@ndbserver.rutgers.edu"}],"homepage":"http://ndbserver.rutgers.edu/","citations":[],"identifier":2046,"description":"The Nucleic Acids Database contains information about experimentally-determined nucleic acids and complex assemblies. NDB can be used to perform searches based on annotations relating to sequence, structure and function, and to download, analyze, and learn about nucleic acids.","abbreviation":"NDB","data_curation":{},"support_links":[{"url":"http://ndbserver.rutgers.edu/ndbmodule/ndb-help.html","type":"Help documentation"},{"url":"http://ndbserver.rutgers.edu/ndbmodule/education/education.html","type":"Training documentation"}],"year_creation":1991,"data_versioning":"not found","associated_tools":[{"url":"http://tesla.pcbi.upenn.edu/savor/","name":"SAVoR"},{"url":"http://rna.bgsu.edu/rna3dhub/motifs","name":"RNA 3D Motif Atlas"},{"url":"http://www.bgsu.edu/research/rna/web-applications/webfr3d.html","name":"WebFR3D"},{"url":"http://rna.bgsu.edu/r3dalign/","name":"R3D Align"},{"url":"http://web.x3dna.org/","name":"w3DNA 2.0"},{"url":"http://www.dnatco.org","name":"DNATCO 3.2"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010551","name":"re3data:r3d100010551","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003255","name":"SciCrunch:RRID:SCR_003255","portal":"SciCrunch"}],"deprecation_date":"2023-07-06","deprecation_reason":"This website (ndbserver.rutgers.edu) will be retired in early July 2023. At that time, all NDB web traffic will forward to nakb.org. Links to individual entry NDB atlas pages will redirect to NAKB atlas pages. Questions/comments? please contact ndbadmin@ndbserver.rutgers.edu.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000513","bsg-d000513"],"name":"FAIRsharing record for: Nucleic Acid Database","abbreviation":"NDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bh0k78","doi":"10.25504/FAIRsharing.bh0k78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nucleic Acids Database contains information about experimentally-determined nucleic acids and complex assemblies. NDB can be used to perform searches based on annotations relating to sequence, structure and function, and to download, analyze, and learn about nucleic acids.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10962}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science"],"domains":["Nucleic acid sequence","Deoxyribonucleic acid","Ribonucleic acid"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":500,"pubmed_id":1384741,"title":"The nucleic acid database. A comprehensive relational database of three-dimensional structures of nucleic acids.","year":1992,"url":"http://doi.org/10.1016/S0006-3495(92)81649-1","authors":"Berman HM., Olson WK., Beveridge DL., Westbrook J., Gelbin A., Demeny T., Hsieh SH., Srinivasan AR., Schneider B.,","journal":"Biophys. J.","doi":"10.1016/S0006-3495(92)81649-1","created_at":"2021-09-30T08:23:14.310Z","updated_at":"2021-09-30T08:23:14.310Z"},{"id":1372,"pubmed_id":24185695,"title":"The Nucleic Acid Database: new features and capabilities.","year":2013,"url":"http://doi.org/10.1093/nar/gkt980","authors":"Coimbatore Narayanan B,Westbrook J,Ghosh S,Petrov AI,Sweeney B,Zirbel CL,Leontis NB,Berman HM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt980","created_at":"2021-09-30T08:24:53.459Z","updated_at":"2021-09-30T11:29:07.468Z"},{"id":2849,"pubmed_id":27805162,"title":"The Nucleic Acid Database: Present and Future.","year":1996,"url":"http://doi.org/10.6028/jres.101.026","authors":"Berman HM,Gelbin A,Clowney L,Hsieh SH,Zardecki C,Westbrook J","journal":"J Res Natl Inst Stand Technol","doi":"10.6028/jres.101.026","created_at":"2021-09-30T08:27:50.482Z","updated_at":"2021-09-30T08:27:50.482Z"}],"licence_links":[],"grants":[{"id":1494,"fairsharing_record_id":2046,"organisation_id":2476,"relation":"maintains","created_at":"2021-09-30T09:25:08.873Z","updated_at":"2021-09-30T09:25:08.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":2476,"name":"Rutgers, The State University of New Jersey, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1496,"fairsharing_record_id":2046,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:08.922Z","updated_at":"2021-09-30T09:25:08.922Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1493,"fairsharing_record_id":2046,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:08.840Z","updated_at":"2021-09-30T09:29:12.018Z","grant_id":136,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM085328","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1495,"fairsharing_record_id":2046,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:08.897Z","updated_at":"2021-09-30T09:29:56.897Z","grant_id":481,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI 0829586","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8140,"fairsharing_record_id":2046,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:10.105Z","updated_at":"2021-09-30T09:31:10.164Z","grant_id":1049,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BIR 9510703","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2056","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:58.788Z","metadata":{"doi":"10.25504/FAIRsharing.ty3dqs","name":"Protein ANalysis THrough Evolutionary Relationships: Classification of Genes and Proteins","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"feedback@pantherdb.org"}],"homepage":"http://www.pantherdb.org","citations":[{"doi":"10.1093/nar/gkw1138","pubmed_id":27899595,"publication_id":1024}],"identifier":2056,"description":"The PANTHER (Protein ANalysis THrough Evolutionary Relationships) Classification System is a unique resource that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function even in the absence of direct experimental evidence.","abbreviation":"PANTHER","data_curation":{"url":"https://www.pantherdb.org/about.jsp","type":"manual/automated"},"support_links":[{"url":"http://www.pantherdb.org/feedback.jsp","type":"Contact form"},{"url":"http://www.pantherdb.org/help/PANTHERhelp.jsp","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","associated_tools":[{"url":"http://www.pantherdb.org/tools/hmmScoreForm.jsp?","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.pantherdb.org/about.jsp","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000523","bsg-d000523"],"name":"FAIRsharing record for: Protein ANalysis THrough Evolutionary Relationships: Classification of Genes and Proteins","abbreviation":"PANTHER","url":"https://fairsharing.org/10.25504/FAIRsharing.ty3dqs","doi":"10.25504/FAIRsharing.ty3dqs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PANTHER (Protein ANalysis THrough Evolutionary Relationships) Classification System is a unique resource that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function even in the absence of direct experimental evidence.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11094},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12248},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16194}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence similarity","Evidence","Function analysis","Evolution","Classification","Protein","Pathway model","Gene","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":["Evolutionary relationship between proteins via sequence similarity"],"countries":["United States"],"publications":[{"id":487,"pubmed_id":12952881,"title":"PANTHER: a library of protein families and subfamilies indexed by function.","year":2003,"url":"http://doi.org/10.1101/gr.772403","authors":"Thomas PD., Campbell MJ., Kejariwal A., Mi H., Karlak B., Daverman R., Diemer K., Muruganujan A., Narechania A.,","journal":"Genome Res.","doi":"10.1101/gr.772403","created_at":"2021-09-30T08:23:12.969Z","updated_at":"2021-09-30T08:23:12.969Z"},{"id":1024,"pubmed_id":27899595,"title":"PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1138","authors":"Mi H,Huang X,Muruganujan A,Tang H,Mills C,Kang D,Thomas PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1138","created_at":"2021-09-30T08:24:13.386Z","updated_at":"2021-09-30T11:28:56.992Z"},{"id":1028,"pubmed_id":23868073,"title":"Large-scale gene function analysis with the PANTHER classification system.","year":2013,"url":"http://doi.org/10.1038/nprot.2013.092","authors":"Mi H,Muruganujan A,Casagrande JT,Thomas PD","journal":"Nat Protoc","doi":"10.1038/nprot.2013.092","created_at":"2021-09-30T08:24:13.815Z","updated_at":"2021-09-30T08:24:13.815Z"},{"id":1029,"pubmed_id":27193693,"title":"PANTHER-PSEP: predicting disease-causing genetic variants using position-specific evolutionary preservation.","year":2016,"url":"http://doi.org/10.1093/bioinformatics/btw222","authors":"Tang H,Thomas PD","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btw222","created_at":"2021-09-30T08:24:13.924Z","updated_at":"2021-09-30T08:24:13.924Z"},{"id":1047,"pubmed_id":19597783,"title":"PANTHER pathway: an ontology-based pathway database coupled with data analysis tools.","year":2009,"url":"http://doi.org/10.1007/978-1-60761-175-2_7","authors":"Mi H,Thomas P","journal":"Methods Mol Biol","doi":"10.1007/978-1-60761-175-2_7","created_at":"2021-09-30T08:24:15.897Z","updated_at":"2021-09-30T08:24:15.897Z"}],"licence_links":[{"licence_name":"Panther DB Data Policies and Disclaimer","licence_id":648,"licence_url":"http://www.pantherdb.org/terms/disclaimer.jsp","link_id":404,"relation":"undefined"},{"licence_name":"Panther Website Privacy Policy","licence_id":649,"licence_url":"http://www.pantherdb.org/terms/privacyPolicy.jsp","link_id":406,"relation":"undefined"}],"grants":[{"id":1532,"fairsharing_record_id":2056,"organisation_id":2857,"relation":"maintains","created_at":"2021-09-30T09:25:10.364Z","updated_at":"2021-09-30T09:25:10.364Z","grant_id":null,"is_lead":false,"saved_state":{"id":2857,"name":"Thomas lab, University of Southern California","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1531,"fairsharing_record_id":2056,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:10.275Z","updated_at":"2021-09-30T09:29:05.934Z","grant_id":92,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM081084","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2064","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:05:30.328Z","metadata":{"doi":"10.25504/FAIRsharing.scsnja","name":"Signaling Pathway Integrated Knowledge Engine","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"spike@post.tau.ac.il"}],"homepage":"http://www.cs.tau.ac.il/~spike/","citations":[],"identifier":2064,"description":"SPIKE (Signaling Pathway Integrated Knowledge Engine) is an interactive software environment that graphically displays biological signaling networks, allows dynamic layout and navigation through these networks, and enables the superposition of DNA microarray and other functional genomics data on interaction maps.","abbreviation":"SPIKE","data_curation":{"url":"www.cs.tau.ac.il/~spike/upcoming.html","type":"manual/automated"},"support_links":[{"url":"http://www.cs.tau.ac.il/~spike/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","data_access_condition":{"url":"http://www.cs.tau.ac.il/~spike/download/","type":"open","notes":"Browsing and downloading the database does not require registration or login."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000531","bsg-d000531"],"name":"FAIRsharing record for: Signaling Pathway Integrated Knowledge Engine","abbreviation":"SPIKE","url":"https://fairsharing.org/10.25504/FAIRsharing.scsnja","doi":"10.25504/FAIRsharing.scsnja","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SPIKE (Signaling Pathway Integrated Knowledge Engine) is an interactive software environment that graphically displays biological signaling networks, allows dynamic layout and navigation through these networks, and enables the superposition of DNA microarray and other functional genomics data on interaction maps.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12684}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Expression data","Network model","Deoxyribonucleic acid","Signaling"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":533,"pubmed_id":21097778,"title":"SPIKE: a database of highly curated human signaling pathways.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1167","authors":"Paz A., Brownstein Z., Ber Y., Bialik S., David E., Sagir D., Ulitsky I., Elkon R., Kimchi A., Avraham KB., Shiloh Y., Shamir R.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1167","created_at":"2021-09-30T08:23:18.242Z","updated_at":"2021-09-30T08:23:18.242Z"}],"licence_links":[],"grants":[{"id":1554,"fairsharing_record_id":2064,"organisation_id":1561,"relation":"funds","created_at":"2021-09-30T09:25:11.314Z","updated_at":"2021-09-30T09:25:11.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":1561,"name":"Israel Science Foundation, Israel","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1557,"fairsharing_record_id":2064,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:11.407Z","updated_at":"2021-09-30T09:25:11.407Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1553,"fairsharing_record_id":2064,"organisation_id":2725,"relation":"maintains","created_at":"2021-09-30T09:25:11.270Z","updated_at":"2021-09-30T09:25:11.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":2725,"name":"Tel Aviv University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1555,"fairsharing_record_id":2064,"organisation_id":129,"relation":"funds","created_at":"2021-09-30T09:25:11.351Z","updated_at":"2021-09-30T09:25:11.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":129,"name":"Ataxia Telangiectasia Children's Project, FL, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1556,"fairsharing_record_id":2064,"organisation_id":3241,"relation":"funds","created_at":"2021-09-30T09:25:11.383Z","updated_at":"2021-09-30T09:25:11.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":3241,"name":"Wolfson Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2059","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:34:59.001Z","metadata":{"doi":"10.25504/FAIRsharing.63m4ss","name":"HAMAP database of microbial protein families","status":"ready","contacts":[{"contact_name":"Alan Bridge","contact_email":"alan.bridge@isb-sib.ch","contact_orcid":"0000-0003-2148-9135"}],"homepage":"https://hamap.expasy.org/","citations":[],"identifier":2059,"description":"HAMAP is a system, based on manual protein annotation, that identifies and semi-automatically annotates proteins that are part of well-conserved families or subfamilies: the HAMAP families. HAMAP is based on manually created family rules and is applied to bacterial, archaeal and plastid-encoded proteins.","abbreviation":"HAMAP","data_curation":{"url":"https://hamap.expasy.org/hamap_details.html","type":"manual/automated","notes":"HAMAP stands for High-quality Automated and Manual Annotation of Proteins."},"support_links":[{"url":"https://hamap.expasy.org/contact","type":"Contact form"},{"url":"http://hamap.expasy.org/unirule/unirule.html","type":"Help documentation"},{"url":"http://hamap.expasy.org/hamap_doc.html","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://hamap.expasy.org/hamap_scan.html","name":"analyze"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000526","bsg-d000526"],"name":"FAIRsharing record for: HAMAP database of microbial protein families","abbreviation":"HAMAP","url":"https://fairsharing.org/10.25504/FAIRsharing.63m4ss","doi":"10.25504/FAIRsharing.63m4ss","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HAMAP is a system, based on manual protein annotation, that identifies and semi-automatically annotates proteins that are part of well-conserved families or subfamilies: the HAMAP families. HAMAP is based on manually created family rules and is applied to bacterial, archaeal and plastid-encoded proteins.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11529}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence annotation","Protein","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1511,"pubmed_id":23193261,"title":"HAMAP in 2013, new developments in the protein family classification and annotation system.","year":2012,"url":"http://doi.org/10.1093/nar/gks1157","authors":"Pedruzzi I., Rivoire C., Auchincloss AH., Coudert E., Keller G., de Castro E., Baratin D., Cuche BA., Bougueleret L., Poux S., Redaschi N., Xenarios I., Bridge A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1157","created_at":"2021-09-30T08:25:09.153Z","updated_at":"2021-09-30T08:25:09.153Z"},{"id":1976,"pubmed_id":25348399,"title":"HAMAP in 2015: updates to the protein family classification and annotation system.","year":2014,"url":"http://doi.org/10.1093/nar/gku1002","authors":"Pedruzzi I,Rivoire C,Auchincloss AH,Coudert E,Keller G,de Castro E,Baratin D,Cuche BA,Bougueleret L,Poux S,Redaschi N,Xenarios I,Bridge A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1002","created_at":"2021-09-30T08:26:02.346Z","updated_at":"2021-09-30T11:29:25.111Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":854,"relation":"undefined"},{"licence_name":"ExPASy Terms of Use","licence_id":305,"licence_url":"https://www.expasy.org/terms-of-use","link_id":859,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":855,"relation":"undefined"}],"grants":[{"id":1542,"fairsharing_record_id":2059,"organisation_id":2635,"relation":"funds","created_at":"2021-09-30T09:25:10.721Z","updated_at":"2021-09-30T09:25:10.721Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1539,"fairsharing_record_id":2059,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:25:10.595Z","updated_at":"2021-09-30T09:32:12.969Z","grant_id":1520,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"JRP09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1541,"fairsharing_record_id":2059,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:10.680Z","updated_at":"2021-09-30T09:32:45.439Z","grant_id":1764,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","grant":"U41HG006104","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1538,"fairsharing_record_id":2059,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:10.558Z","updated_at":"2024-03-27T21:13:52.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1540,"fairsharing_record_id":2059,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.638Z","updated_at":"2021-09-30T09:25:10.638Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8412,"fairsharing_record_id":2059,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:32:31.718Z","updated_at":"2021-09-30T09:32:31.763Z","grant_id":1661,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"JRP13","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ca50c6050260c6ee4769280a49fff47fa8daa924/HAMAP_Red_Logo_trans.png?disposition=inline","exhaustive_licences":false}},{"id":"2030","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:42:29.826Z","metadata":{"doi":"10.25504/FAIRsharing.6bd5k6","name":"Orphanet","status":"ready","contacts":[{"contact_email":"partnerships.orphanet@inserm.fr"}],"homepage":"http://www.orpha.net/consor/cgi-bin/index.php?lng=EN","citations":[],"identifier":2030,"description":"Orphanet is the reference resource for information on rare diseases and orphan drugs for all publics. Its aim is to contribute to the improvement of the diagnosis, care and treatment of patients with rare diseases. Orphanet maintains the Orphanet nomenclature, essential for interoperability, and the Orphanet Rare Disease Ontology (ORDO).","abbreviation":"Orphanet","data_curation":{"url":"https://www.orpha.net/orphacom/cahiers/docs/GB/eproc_expert_centres_R2_PatCar_Cns_EP_02.pdf","type":"manual","notes":"Three steps of data validation insure the quality and the acuracy of the data."},"support_links":[{"url":"contact.orphanet@inserm.fr","name":"Contact email","type":"Support email"},{"url":"http://www.orpha.net/consor/cgi-bin/","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCKMLSL9hlrxz6zKFod5IlnA","name":"Orphanet Tutorials","type":"Video"},{"url":"https://twitter.com/orphanet","type":"Twitter"}],"year_creation":1997,"data_versioning":"no","associated_tools":[{"url":"http://www.orphadata.org/cgi-bin/index.php/","name":"Orphadata"},{"url":"http://www.orphadata.org/cgi-bin/inc/ordo_orphanet.inc.php","name":"ORDO 2"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.orpha.net/consor/cgi-bin/Education_Procedure.php?lng=EN","type":"controlled","notes":"Procedural documents on data collection and registration are available (expert centers, patient organizations...)"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000497","bsg-d000497"],"name":"FAIRsharing record for: Orphanet","abbreviation":"Orphanet","url":"https://fairsharing.org/10.25504/FAIRsharing.6bd5k6","doi":"10.25504/FAIRsharing.6bd5k6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Orphanet is the reference resource for information on rare diseases and orphan drugs for all publics. Its aim is to contribute to the improvement of the diagnosis, care and treatment of patients with rare diseases. Orphanet maintains the Orphanet nomenclature, essential for interoperability, and the Orphanet Rare Disease Ontology (ORDO).","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11351},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11845},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12167},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19552}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Human Genetics","Biomedical Science","Human Biology"],"domains":["Drug","Rare disease","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","European Union"],"publications":[{"id":2126,"pubmed_id":19058507,"title":"[Orphanet and the Dutch Steering Committee Orphan Drugs. A European and Dutch databank of information on rare diseases].","year":2008,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19058507","authors":"Liem SL.,","journal":"Ned Tijdschr Tandheelkd","doi":null,"created_at":"2021-09-30T08:26:19.725Z","updated_at":"2021-09-30T08:26:19.725Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":472,"relation":"undefined"}],"grants":[{"id":1447,"fairsharing_record_id":2030,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:06.896Z","updated_at":"2021-09-30T09:32:28.129Z","grant_id":1633,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"E-Rare 3","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1446,"fairsharing_record_id":2030,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:25:06.870Z","updated_at":"2021-09-30T09:25:06.870Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1445,"fairsharing_record_id":2030,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:25:06.846Z","updated_at":"2021-09-30T09:30:21.459Z","grant_id":673,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"831390","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2118","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:20.350Z","metadata":{"doi":"10.25504/FAIRsharing.3etvdn","name":"VectorBase","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@vectorbase.org"}],"homepage":"https://vectorbase.org/vectorbase/app","citations":[],"identifier":2118,"description":"VectorBase is a web-accessible data repository for information about invertebrate vectors of human pathogens. VectorBase annotates and maintains vector genomes (as well as a number of non-vector genomes for comparative analysis) providing an integrated resource for the research community. VectorBase contains genome information for organisms such as Anopheles gambiae, a vector for the Plasmodium protozoan agent causing malaria, and Aedes aegypti, a vector for the flaviviral agents causing Yellow fever and Dengue fever. Hosted data range from genome assemblies with annotated gene features, transcript and protein expression data to population genetics including variation and insecticide-resistance phenotypes.","abbreviation":"VectorBase","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"info@vectorbase.org","name":"info@vectorbase.org","type":"Support email"},{"url":"https://vectorbase.org/vectorbase/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"https://twitter.com/VectorBase","name":"@VectorBase","type":"Twitter"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010880","name":"re3data:r3d100010880","portal":"re3data"}],"data_access_condition":{"url":"https://vectorbase.org/vectorbase/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://vectorbase.org/vectorbase/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://vectorbase.org/vectorbase/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000588","bsg-d000588"],"name":"FAIRsharing record for: VectorBase","abbreviation":"VectorBase","url":"https://fairsharing.org/10.25504/FAIRsharing.3etvdn","doi":"10.25504/FAIRsharing.3etvdn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VectorBase is a web-accessible data repository for information about invertebrate vectors of human pathogens. VectorBase annotates and maintains vector genomes (as well as a number of non-vector genomes for comparative analysis) providing an integrated resource for the research community. VectorBase contains genome information for organisms such as Anopheles gambiae, a vector for the Plasmodium protozoan agent causing malaria, and Aedes aegypti, a vector for the flaviviral agents causing Yellow fever and Dengue fever. Hosted data range from genome assemblies with annotated gene features, transcript and protein expression data to population genetics including variation and insecticide-resistance phenotypes.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10801},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10971},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11102},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12693}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Population Dynamics","Genomics","Comparative Genomics","Population Genetics"],"domains":["Molecular structure","Expression data","DNA sequence data","Gene Ontology enrichment","Annotation","DNA structural variation","Insecticide resistance","Pathogen","Phenotype","Structure","Protein","Gene","Genome","Genotype","Karyotype"],"taxonomies":["Aedes aegypti","Anopheles gambiae","Chelicerata","Culicidae","Diptera","Gastropoda","Hemiptera","Ixodida","Phthiraptera"],"user_defined_tags":[],"countries":["United Kingdom","United States","European Union"],"publications":[{"id":680,"pubmed_id":19028744,"title":"VectorBase: a data resource for invertebrate vector genomics.","year":2008,"url":"http://doi.org/10.1093/nar/gkn857","authors":"Lawson D., Arensburger P., Atkinson P. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn857","created_at":"2021-09-30T08:23:34.944Z","updated_at":"2021-09-30T08:23:34.944Z"},{"id":1308,"pubmed_id":25510499,"title":"VectorBase: an updated bioinformatics resource for invertebrate vectors and other organisms related with human diseases.","year":2014,"url":"http://doi.org/10.1093/nar/gku1117","authors":"Giraldo-Calderon GI,Emrich SJ,MacCallum RM,Maslen G,Dialynas E,Topalis P,Ho N,Gesing S,Madey G,Collins FH,Lawson D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1117","created_at":"2021-09-30T08:24:46.064Z","updated_at":"2021-09-30T11:29:05.859Z"}],"licence_links":[{"licence_name":"VEuPathDB Data Submission and Release Policies","licence_id":843,"licence_url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","link_id":2385,"relation":"undefined"}],"grants":[{"id":1696,"fairsharing_record_id":2118,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:17.046Z","updated_at":"2021-09-30T09:29:56.423Z","grant_id":478,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN75N93019C00077","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9576,"fairsharing_record_id":2118,"organisation_id":3549,"relation":"maintains","created_at":"2022-06-08T09:23:29.443Z","updated_at":"2022-06-08T09:23:29.443Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1694,"fairsharing_record_id":2118,"organisation_id":2854,"relation":"maintains","created_at":"2021-09-30T09:25:16.983Z","updated_at":"2021-09-30T09:25:16.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":1695,"fairsharing_record_id":2118,"organisation_id":250,"relation":"maintains","created_at":"2021-09-30T09:25:17.011Z","updated_at":"2021-09-30T09:25:17.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1693,"fairsharing_record_id":2118,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:16.945Z","updated_at":"2021-09-30T09:31:28.050Z","grant_id":1181,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212929/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8361,"fairsharing_record_id":2118,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:32:14.892Z","updated_at":"2021-09-30T09:32:15.014Z","grant_id":1532,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"218288/Z/19/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdG9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c4372feffb1b9dfa2761ff27a1a2c53b2fa18c60/vectorbase.png?disposition=inline","exhaustive_licences":false}},{"id":"2119","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-14T18:35:18.971Z","metadata":{"doi":"10.25504/FAIRsharing.nvmk6r","name":"Phosphorylation Site Database","status":"deprecated","contacts":[{"contact_email":"psite@vt.edu"}],"homepage":"http://www.phosphorylation.biochem.vt.edu/","citations":[],"identifier":2119,"description":"The Phosphorylation Site Database provides ready access to information from the primary scientific literature concerning proteins in prokaryotic organisms (i.e. members of the domains Archaea and Bacteria) that undergo covalent phosphorylation on the hydroxyl side chains of serine, threonine, and/or tyrosine residues","abbreviation":"PSD","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2015-07-15","deprecation_reason":"This resource has been retired and is no longer maintained.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000589","bsg-d000589"],"name":"FAIRsharing record for: Phosphorylation Site Database","abbreviation":"PSD","url":"https://fairsharing.org/10.25504/FAIRsharing.nvmk6r","doi":"10.25504/FAIRsharing.nvmk6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Phosphorylation Site Database provides ready access to information from the primary scientific literature concerning proteins in prokaryotic organisms (i.e. members of the domains Archaea and Bacteria) that undergo covalent phosphorylation on the hydroxyl side chains of serine, threonine, and/or tyrosine residues","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics"],"domains":["Protein"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1697,"fairsharing_record_id":2119,"organisation_id":3189,"relation":"maintains","created_at":"2021-09-30T09:25:17.078Z","updated_at":"2021-09-30T09:25:17.078Z","grant_id":null,"is_lead":false,"saved_state":{"id":3189,"name":"Virginia Polytechnic Institute and State University, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2122","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:36.460Z","metadata":{"doi":"10.25504/FAIRsharing.qrv60a","name":"Saccharomyces cerevisiae Transcription Factor Database","status":"deprecated","contacts":[{"contact_name":"Gary D. Stormo","contact_email":"stormo@wustl.edu"}],"homepage":"http://stormo.wustl.edu/ScerTF/","citations":[],"identifier":2122,"description":"ScerTF is a database of position weight matrices (PWMs) for transcription factors in Saccharomyces species. It identifies a single matrix for each TF that best predicts in vivo data, providing metrics related to the performance of that matrix in accurately representing the DNA binding specificity of the annotated transcription factor.","abbreviation":"ScerTF","data_curation":{"type":"not found"},"support_links":[{"url":"ScerTF@genetics.wustl.edu","type":"Support email"},{"url":"http://stormo.wustl.edu/ScerTF/about/","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000592","bsg-d000592"],"name":"FAIRsharing record for: Saccharomyces cerevisiae Transcription Factor Database","abbreviation":"ScerTF","url":"https://fairsharing.org/10.25504/FAIRsharing.qrv60a","doi":"10.25504/FAIRsharing.qrv60a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ScerTF is a database of position weight matrices (PWMs) for transcription factors in Saccharomyces species. It identifies a single matrix for each TF that best predicts in vivo data, providing metrics related to the performance of that matrix in accurately representing the DNA binding specificity of the annotated transcription factor.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Protein domain","Nucleotide","Transcription factor","Sequence","Binding site"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1811,"pubmed_id":22140105,"title":"ScerTF: a comprehensive database of benchmarked position weight matrices for Saccharomyces species.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1180","authors":"Spivak AT., Stormo GD.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkr1180","created_at":"2021-09-30T08:25:43.271Z","updated_at":"2021-09-30T08:25:43.271Z"}],"licence_links":[{"licence_name":"ScerTF Attribution required","licence_id":729,"licence_url":"http://stormo.wustl.edu/ScerTF/","link_id":2215,"relation":"undefined"}],"grants":[{"id":11609,"fairsharing_record_id":2122,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:36.417Z","updated_at":"2024-03-21T13:59:36.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2129","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:58.640Z","metadata":{"doi":"10.25504/FAIRsharing.dxj07r","name":"MGnify","status":"ready","contacts":[{"contact_name":"Robert D Finn","contact_email":"rdf@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/metagenomics/","citations":[{"doi":"10.1093/nar/gkz1035","pubmed_id":31696235,"publication_id":2769}],"identifier":2129,"description":"EBI Metagenomics has changed its name to MGnify to reflect a change in scope. This is a free-to-use resource aiming at supporting all metagenomics researchers. The service is an automated pipeline for the analysis and archiving of metagenomic data that aims to provide insights into the phylogenetic diversity as well as the functional and metabolic potential of a sample. You can freely browse all the public data in the repository.","abbreviation":"MGnify","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ebi.ac.uk/support/metagenomics","name":"Metagenomics Contact Form","type":"Contact form"},{"url":"metagenomics-help@ebi.ac.uk","name":"General contact","type":"Support email"},{"url":"https://www.ebi.ac.uk/metagenomics/help","name":"Help","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/metagenomics/about","name":"About MGnify","type":"Help documentation"},{"url":"https://emg-docs.readthedocs.io/en/latest/","name":"MGnify documentation","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/ebi-metagenomics-portal-submitting-metagenomics-data-to-the-european-nucleotide-archive","name":"Ebi metagenomics portal submitting metagenomics data to the european nucleotide archive","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/ebi-metagenomics-portal-quick-tour","name":"Ebi metagenomics portal quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/training/online/course/ebi-metagenomics-portal-submitting-metagenomics-da","name":"Submitting metagenomics data to ENA","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ebi-metagenomics-portal-quick-tour","name":"MGnify Quick tour","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/ebi-metagenomics-analysing-and-exploring-metagenomics-data","name":"Analysing and exploring metagenomics data","type":"Training documentation"},{"url":"https://twitter.com/MGnifyDB","name":"@MGnifyDB","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011192","name":"re3data:r3d100011192","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/metagenomics/login","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000599","bsg-d000599"],"name":"FAIRsharing record for: MGnify","abbreviation":"MGnify","url":"https://fairsharing.org/10.25504/FAIRsharing.dxj07r","doi":"10.25504/FAIRsharing.dxj07r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EBI Metagenomics has changed its name to MGnify to reflect a change in scope. This is a free-to-use resource aiming at supporting all metagenomics researchers. The service is an automated pipeline for the analysis and archiving of metagenomic data that aims to provide insights into the phylogenetic diversity as well as the functional and metabolic potential of a sample. You can freely browse all the public data in the repository.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10976},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11359},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12172},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12697},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13906}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Taxonomy","Phylogeny","Biodiversity","Phylogenomics","Life Science","Biomedical Science"],"domains":["DNA sequence data","Annotation","Sequence annotation","Gene prediction","Metagenome","Non-coding RNA","Gene","16S rRNA","Genome","Microbiome"],"taxonomies":["All","Anopheles gambiae","Arabidopsis thaliana","Bos indicus","Bos taurus","Bubalus bubalis","Clostridium Difficile","Escherichia coli","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Metatranscriptome"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":749,"pubmed_id":24165880,"title":"EBI metagenomics--a new resource for the analysis and archiving of metagenomic data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt961","authors":"Hunter S,Corbett M,Denise H,Fraser M,Gonzalez-Beltran A,Hunter C,Jones P,Leinonen R,McAnulla C,Maguire E,Maslen J,Mitchell A,Nuka G,Oisel A,Pesseat S,Radhakrishnan R,Rocca-Serra P,Scheremetjew M,Sterk P,Vaughan D,Cochrane G,Field D,Sansone SA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt961","created_at":"2021-09-30T08:23:42.475Z","updated_at":"2021-09-30T11:28:49.600Z"},{"id":2760,"pubmed_id":29069476,"title":"EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies.","year":2017,"url":"http://doi.org/10.1093/nar/gkx967","authors":"Mitchell AL,Scheremetjew M,Denise H,Potter S,Tarkowska A,Qureshi M,Salazar GA,Pesseat S,Boland MA,Hunter FMI,Ten Hoopen P,Alako B,Amid C,Wilkinson DJ,Curtis TP,Cochrane G,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx967","created_at":"2021-09-30T08:27:39.196Z","updated_at":"2021-09-30T11:29:42.928Z"},{"id":2769,"pubmed_id":31696235,"title":"MGnify: the microbiome analysis resource in 2020.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1035","authors":"Mitchell AL,Almeida A,Beracochea M,Boland M,Burgin J,Cochrane G,Crusoe MR,Kale V,Potter SC,Richardson LJ,Sakharova E,Scheremetjew M,Korobeynikov A,Shlemov A,Kunyavskaya O,Lapidus A,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1035","created_at":"2021-09-30T08:27:40.312Z","updated_at":"2021-09-30T11:29:43.587Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1706,"relation":"undefined"}],"grants":[{"id":1735,"fairsharing_record_id":2129,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:25:18.701Z","updated_at":"2021-09-30T09:31:33.153Z","grant_id":1221,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"18-54-74004","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7894,"fairsharing_record_id":2129,"organisation_id":1264,"relation":"funds","created_at":"2021-09-30T09:29:31.301Z","updated_at":"2021-09-30T09:29:31.354Z","grant_id":282,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"817729","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8377,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:21.327Z","updated_at":"2021-09-30T09:32:21.402Z","grant_id":1582,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/N018354/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8398,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:27.410Z","updated_at":"2021-09-30T09:32:27.465Z","grant_id":1628,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I025840/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1738,"fairsharing_record_id":2129,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:18.826Z","updated_at":"2021-09-30T09:25:18.826Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1737,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:18.784Z","updated_at":"2021-09-30T09:29:13.361Z","grant_id":145,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M011453/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1739,"fairsharing_record_id":2129,"organisation_id":1353,"relation":"funds","created_at":"2021-09-30T09:25:18.864Z","updated_at":"2021-09-30T09:30:39.258Z","grant_id":808,"is_lead":false,"saved_state":{"id":1353,"name":"InnovateUK","grant":"102513","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1736,"fairsharing_record_id":2129,"organisation_id":1264,"relation":"funds","created_at":"2021-09-30T09:25:18.743Z","updated_at":"2021-09-30T09:29:30.431Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8276,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:52.440Z","updated_at":"2021-09-30T09:31:52.497Z","grant_id":1366,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I02612X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8343,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:12.519Z","updated_at":"2021-09-30T09:32:12.597Z","grant_id":1517,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M011755/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8400,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:27.818Z","updated_at":"2021-09-30T09:32:27.909Z","grant_id":1631,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000771/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8445,"fairsharing_record_id":2129,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:40.343Z","updated_at":"2021-09-30T09:32:40.399Z","grant_id":1727,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/R015228/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9224,"fairsharing_record_id":2129,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:23.574Z","updated_at":"2022-04-11T12:07:23.592Z","grant_id":717,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7 grant MICROB3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2130","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:14.318Z","metadata":{"doi":"10.25504/FAIRsharing.cr410r","name":"Soybean Knowledge Base","status":"ready","contacts":[{"contact_name":"Dr. Trupti Joshi","contact_email":"joshitr@missouri.edu"}],"homepage":"http://soykb.org/","identifier":2130,"description":"Soybean Knowledge Base (SoyKB), is a comprehensive all-inclusive web resource developed for soybean translational genomics and molecular breeding. SoyKB stores information about genes/proteins, miRNAs/sRNAs, metabolites, SNPs, plant introduction (PI lines) and traits. It handles the management and integration of soybean genomics and multi-omics data along with gene function annotations, biological pathway and trait information. It has many useful tools including gene family search, multiple gene/metabolite analysis, motif analysis tool, protein 3D structure viewer and data download and upload capacity. It has a user-friendly web interface together with genome browser and pathway viewer, which displays data in an intuitive manner to the soybean researchers, breeders and consumers. The QTLs, SNP, GWAS and traits information is seamlessly integrated in our newly developed suite of tools for the In Silico Breeding Program. It allows integration and extraction of the data in a tabular format as well as graphical visualization in our in-house Chromosome Visualizer. It also supports integration and visualization of Genotype by Sequencing (GBS) data for molecular breeding and phenotypic inferences. In addition, SoyKB now has capacity for incorporation of DNA methylation data and fast neutron mutation datasets. It is also linked seamlessly with P3DB for phosphorylation data. We have also incorporated suite of tools for differential expression analysis for microarray, transcriptomics RNA-seq, proteomics and metabolomics datasets. It includes access to gene lists, Venn diagrams, Volcano plots, functional annotations and pathway analysis. SoyKB is now powered by the iPlant Cyber-Infrastructure. The website is hosted on the iPlant’s advanced computing infrastructure established to leverage the data analysis capabilities.","abbreviation":"SoyKB","data_curation":{"type":"not found"},"support_links":[{"url":"http://soykb.org/contact.php","type":"Contact form"},{"url":"joshitr@missouri.edu","type":"Support email"},{"url":"xudong@missouri.edu","type":"Support email"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://soykb.org/search/gene_pathway.php","name":"Gene Pathway Viewer"},{"url":"http://soykb.org/search/metabolite_pathway.php","name":"Metabolite Pathway Viewer"},{"url":"http://soykb.org/Breeder_Tool_Box/index.php","name":"In Silico Breeding Program Suite of Tools"},{"url":"http://soykb.org/search/protein_structure.php","name":"3D Protein Structure"},{"url":"http://soykb.org/DiffExp/diffExp.php","name":"Differential Expression Suite of Tools"},{"url":"http://soykb.org/blast.php","name":"Blast"},{"url":"http://soykb.org/clustal.php","name":"Multiple Sequence Alignment"},{"url":"http://soykb.org/proteinbioview/protein2DImageSystem/search.php","name":"ProteinBioView"},{"url":"http://soykb.org/heatmap/heatmap.php","name":"Heatmap and Hierarchical Clustering"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://soykb.org/upload.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000600","bsg-d000600"],"name":"FAIRsharing record for: Soybean Knowledge Base","abbreviation":"SoyKB","url":"https://fairsharing.org/10.25504/FAIRsharing.cr410r","doi":"10.25504/FAIRsharing.cr410r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Soybean Knowledge Base (SoyKB), is a comprehensive all-inclusive web resource developed for soybean translational genomics and molecular breeding. SoyKB stores information about genes/proteins, miRNAs/sRNAs, metabolites, SNPs, plant introduction (PI lines) and traits. It handles the management and integration of soybean genomics and multi-omics data along with gene function annotations, biological pathway and trait information. It has many useful tools including gene family search, multiple gene/metabolite analysis, motif analysis tool, protein 3D structure viewer and data download and upload capacity. It has a user-friendly web interface together with genome browser and pathway viewer, which displays data in an intuitive manner to the soybean researchers, breeders and consumers. The QTLs, SNP, GWAS and traits information is seamlessly integrated in our newly developed suite of tools for the In Silico Breeding Program. It allows integration and extraction of the data in a tabular format as well as graphical visualization in our in-house Chromosome Visualizer. It also supports integration and visualization of Genotype by Sequencing (GBS) data for molecular breeding and phenotypic inferences. In addition, SoyKB now has capacity for incorporation of DNA methylation data and fast neutron mutation datasets. It is also linked seamlessly with P3DB for phosphorylation data. We have also incorporated suite of tools for differential expression analysis for microarray, transcriptomics RNA-seq, proteomics and metabolomics datasets. It includes access to gene lists, Venn diagrams, Volcano plots, functional annotations and pathway analysis. SoyKB is now powered by the iPlant Cyber-Infrastructure. The website is hosted on the iPlant’s advanced computing infrastructure established to leverage the data analysis capabilities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Proteomics","Computational Biology","Life Science","Metabolomics","Transcriptomics"],"domains":["DNA methylation","Germ plasm","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Phenotype","Micro RNA","Single nucleotide polymorphism","Genome","Genome-wide association study"],"taxonomies":["Glycine max"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":231,"pubmed_id":null,"title":"Soybean Knowledge Base (SoyKB): A web resource for integration of soybean translational genomics and molecular breeding","year":2013,"url":"http://doi.org/10.1093/nar/gkt905","authors":"Joshi T, Fitzpatrick MR, Chen S, Liu Y, Zhang H, Endacott RZ, Gaudiello EC, Stacey G, Nguyen HT, Xu D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt905","created_at":"2021-09-30T08:22:44.948Z","updated_at":"2021-09-30T08:22:44.948Z"},{"id":570,"pubmed_id":22369646,"title":"Soybean Knowledge Base (SoyKB): a web resource for soybean translational genomics.","year":2012,"url":"http://doi.org/10.1186/1471-2164-13-S1-S15","authors":"Joshi T, Patil K, Fitzpatrick MR, Franklin LD, Yao Q, Cook JR, Wang Z, Libault M, Brechenmacher L, Valliyodan B, Wu X, Cheng J, Stacey G, Nguyen HT, Xu D.","journal":"BMC Genomics","doi":"10.1186/1471-2164-13-S1-S15","created_at":"2021-09-30T08:23:22.370Z","updated_at":"2021-09-30T08:23:22.370Z"}],"licence_links":[],"grants":[{"id":1741,"fairsharing_record_id":2130,"organisation_id":3098,"relation":"maintains","created_at":"2021-09-30T09:25:18.943Z","updated_at":"2021-09-30T09:25:18.943Z","grant_id":null,"is_lead":false,"saved_state":{"id":3098,"name":"University of Missouri, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2114","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:56.546Z","metadata":{"doi":"10.25504/FAIRsharing.p06nme","name":"Biological Magnetic Resonance Data Bank","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"help@bmrb.io","contact_orcid":null}],"homepage":"https://bmrb.io/","citations":[{"doi":"10.1093/nar/gkm957","pubmed_id":17984079,"publication_id":1723}],"identifier":2114,"description":"BMRB collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR spectroscopic investigations of biological macromolecules and metabolites. Its goal is to empower scientists in their analysis of the structure, dynamics, and chemistry of biological systems and to support further development of the field of biomolecular NMR spectroscopy.","abbreviation":"BMRB","data_curation":{"url":"https://bmrb.io/bmrb/data_accepted.shtml","type":"manual/automated","notes":"Validation Process"},"support_links":[{"url":"https://bmrb.io/bmrb/news/","name":"News","type":"Blog/News"},{"url":"https://bmrb.io/education/","name":"Education and Outreach","type":"Help documentation"},{"url":"https://bmrb.io/standards/","name":"Standards Used","type":"Help documentation"}],"year_creation":1988,"data_versioning":"no","associated_tools":[{"url":"https://bmrb.io/validate/","name":"Validation Tools Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010191","name":"re3data:r3d100010191","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002296","name":"SciCrunch:RRID:SCR_002296","portal":"SciCrunch"}],"data_access_condition":{"url":"https://bmrb.io/bmrb/aims_and_policies.shtml","type":"open","notes":"BioMagResBank (BMRB) is the publicly-accessible depository"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://bmrb.io/deposit/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000584","bsg-d000584"],"name":"FAIRsharing record for: Biological Magnetic Resonance Data Bank","abbreviation":"BMRB","url":"https://fairsharing.org/10.25504/FAIRsharing.p06nme","doi":"10.25504/FAIRsharing.p06nme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BMRB collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR spectroscopic investigations of biological macromolecules and metabolites. Its goal is to empower scientists in their analysis of the structure, dynamics, and chemistry of biological systems and to support further development of the field of biomolecular NMR spectroscopy.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10970},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13116},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13548},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20016}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","Protein structure","Peptide","Molecular entity","Nucleic acid","Ligand","Nuclear Magnetic Resonance (NMR) spectroscopy","Spectrum","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":552,"pubmed_id":18288446,"title":"BioMagResBank (BMRB) as a partner in the Worldwide Protein Data Bank (wwPDB): new policies affecting biomolecular NMR depositions.","year":2008,"url":"http://doi.org/10.1007/s10858-008-9221-y","authors":"Markley JL., Ulrich EL., Berman HM., Henrick K., Nakamura H., Akutsu H.,","journal":"J. Biomol. NMR","doi":"10.1007/s10858-008-9221-y","created_at":"2021-09-30T08:23:20.259Z","updated_at":"2021-09-30T08:23:20.259Z"},{"id":1723,"pubmed_id":17984079,"title":"BioMagResBank.","year":2007,"url":"http://doi.org/10.1093/nar/gkm957","authors":"Ulrich EL,Akutsu H,Doreleijers JF,Harano Y,Ioannidis YE,Lin J,Livny M,Mading S,Maziuk D,Miller Z,Nakatani E,Schulte CF,Tolmie DE,Kent Wenger R,Yao H,Markley JL","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm957","created_at":"2021-09-30T08:25:33.068Z","updated_at":"2021-09-30T11:29:19.360Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2783,"relation":"applies_to_content"}],"grants":[{"id":1683,"fairsharing_record_id":2114,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:16.571Z","updated_at":"2021-09-30T09:25:16.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9748,"fairsharing_record_id":2114,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T12:55:09.635Z","updated_at":"2022-08-02T12:55:09.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1685,"fairsharing_record_id":2114,"organisation_id":3152,"relation":"maintains","created_at":"2021-09-30T09:25:16.646Z","updated_at":"2021-09-30T09:25:16.646Z","grant_id":null,"is_lead":true,"saved_state":{"id":3152,"name":"University of Wisconsin-Madison","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8676,"fairsharing_record_id":2114,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-06T12:13:53.962Z","updated_at":"2022-01-06T12:13:53.962Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":9161,"fairsharing_record_id":2114,"organisation_id":2045,"relation":"funds","created_at":"2022-04-11T12:07:18.511Z","updated_at":"2022-04-11T12:07:18.511Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbmNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--53151fdfcdd1a0243364d3988b9a7549378a3bc1/Screenshot%20from%202022-08-02%2013-51-00.png?disposition=inline","exhaustive_licences":false}},{"id":"2115","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:17:15.578Z","metadata":{"doi":"10.25504/FAIRsharing.anpa6","name":"A Systematic Annotation Package","status":"ready","contacts":[{"contact_name":"Paul Liss","contact_email":"pmliss@wisc.edu"}],"homepage":"https://asap.ahabs.wisc.edu/asap/home.php","citations":[],"identifier":2115,"description":"ASAP is a relational database and web interface developed to store, update and distribute genome sequence data and gene expression data. It was designed to facilitate ongoing community annotation of genomes and to grow with genome projects as they move from the preliminary data stage through post-sequencing functional analysis.","abbreviation":"ASAP","data_curation":{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?LocationID=\u0026SequenceVersionID=\u0026GenomeID=\u0026ExpSetID=#_Curators","type":"manual"},"support_links":[{"url":"ASAPdbAdmin@ahabs.wisc.edu","type":"Support email"},{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010666","name":"re3data:r3d100010666","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001849","name":"SciCrunch:RRID:SCR_001849","portal":"SciCrunch"}],"data_access_condition":{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?LocationID=\u0026SequenceVersionID=\u0026GenomeID=\u0026ExpSetID=#_UserPermissions","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://asap.ahabs.wisc.edu/asap/show_help.php?LocationID=\u0026SequenceVersionID=\u0026GenomeID=\u0026ExpSetID=#_Submitters","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000585","bsg-d000585"],"name":"FAIRsharing record for: A Systematic Annotation Package","abbreviation":"ASAP","url":"https://fairsharing.org/10.25504/FAIRsharing.anpa6","doi":"10.25504/FAIRsharing.anpa6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ASAP is a relational database and web interface developed to store, update and distribute genome sequence data and gene expression data. It was designed to facilitate ongoing community annotation of genomes and to grow with genome projects as they move from the preliminary data stage through post-sequencing functional analysis.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12692}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Developmental Biology","Life Science","Comparative Genomics"],"domains":["Expression data","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":537,"pubmed_id":12519969,"title":"ASAP, a systematic annotation package for community analysis of genomes.","year":2003,"url":"http://doi.org/10.1093/nar/gkg125","authors":"Glasner JD., Liss P., Plunkett G., Darling A., Prasad T., Rusch M., Byrnes A., Gilson M., Biehl B., Blattner FR., Perna NT.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg125","created_at":"2021-09-30T08:23:18.676Z","updated_at":"2021-09-30T08:23:18.676Z"}],"licence_links":[],"grants":[{"id":1688,"fairsharing_record_id":2115,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:16.753Z","updated_at":"2021-09-30T09:31:04.526Z","grant_id":1004,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM35682-15A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8201,"fairsharing_record_id":2115,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:29.048Z","updated_at":"2021-09-30T09:31:29.106Z","grant_id":1190,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"GM62994-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1687,"fairsharing_record_id":2115,"organisation_id":3152,"relation":"maintains","created_at":"2021-09-30T09:25:16.721Z","updated_at":"2021-09-30T09:25:16.721Z","grant_id":null,"is_lead":false,"saved_state":{"id":3152,"name":"University of Wisconsin-Madison","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1686,"fairsharing_record_id":2115,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:16.683Z","updated_at":"2021-09-30T09:31:36.476Z","grant_id":1246,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","grant":"2001-52100-11316","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2116","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-11-24T13:19:25.725Z","metadata":{"doi":"10.25504/FAIRsharing.2mayq0","name":"Structural and functional annotation of Arabidopsis thaliana gene and protein families","status":"deprecated","contacts":[{"contact_email":"aubourg@evry.inra.fr"}],"homepage":"http://urgi.versailles.inra.fr/Genefarm/index.htpl","identifier":2116,"description":"GeneFarm is a database whose purpose is to store traceable annotations for Arabidopsis nuclear genes and gene products.","abbreviation":"GeneFarm","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://urgi.versailles.inra.fr/Genefarm/Search/search_frame.htpl","name":"search"},{"url":"http://urgi.versailles.inra.fr/Genefarm/Search/search_frame.htpl","name":"advanced search"},{"url":"http://urgi.versailles.inra.fr/Genefarm/Search/search_frame.htpl","name":"BLAST"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000586","bsg-d000586"],"name":"FAIRsharing record for: Structural and functional annotation of Arabidopsis thaliana gene and protein families","abbreviation":"GeneFarm","url":"https://fairsharing.org/10.25504/FAIRsharing.2mayq0","doi":"10.25504/FAIRsharing.2mayq0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneFarm is a database whose purpose is to store traceable annotations for Arabidopsis nuclear genes and gene products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Nucleotide","Sequence","Genome"],"taxonomies":["Arabidopsis thaliana","Viridiplantae"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":587,"pubmed_id":15608279,"title":"GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts.","year":2004,"url":"http://doi.org/10.1093/nar/gki115","authors":"Aubourg S., et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki115","created_at":"2021-09-30T08:23:24.318Z","updated_at":"2021-09-30T08:23:24.318Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1547,"relation":"undefined"}],"grants":[{"id":1689,"fairsharing_record_id":2116,"organisation_id":2917,"relation":"maintains","created_at":"2021-09-30T09:25:16.777Z","updated_at":"2021-09-30T09:25:16.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":2917,"name":"Unit de Recherches en Gnomique Info (URGI), Versailles, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2117","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:03:31.460Z","metadata":{"doi":"10.25504/FAIRsharing.bn6jba","name":"Poxvirus Bioinformatics Resource Center","status":"deprecated","contacts":[{"contact_name":"Elliot Lefkowitz","contact_email":"elliotl@uab.edu"}],"homepage":"http://www.poxvirus.org","identifier":2117,"description":"Poxvirus Bioinformatics Resource Center has been established to provide specialized web-based resources to the scientific community studying poxviruses. This resource is no longer being maintained. For tools and data supporting virus genomics, especially related to poxviruses and other large DNA viruses, please visit the Viral Bioinformatics site maintained by our collaborator, Chris Upton: http://virology.ca For information on virus taxonomy, please visit the ICTV web site at http://www.ictvonline.org/ For updated sequence data and analytical tools, please visit http://www.viprbrc.org","abbreviation":null,"data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://www.poxvirus.org/blast.asp","name":"BLAST"}],"deprecation_date":"2016-12-28","deprecation_reason":"This resource is no longer being maintained due to lack of resources to maintain the website.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000587","bsg-d000587"],"name":"FAIRsharing record for: Poxvirus Bioinformatics Resource Center","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bn6jba","doi":"10.25504/FAIRsharing.bn6jba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Poxvirus Bioinformatics Resource Center has been established to provide specialized web-based resources to the scientific community studying poxviruses. This resource is no longer being maintained. For tools and data supporting virus genomics, especially related to poxviruses and other large DNA viruses, please visit the Viral Bioinformatics site maintained by our collaborator, Chris Upton: http://virology.ca For information on virus taxonomy, please visit the ICTV web site at http://www.ictvonline.org/ For updated sequence data and analytical tools, please visit http://www.viprbrc.org","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Structure","Protein","Genome"],"taxonomies":["Poxviridae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":577,"pubmed_id":15608205,"title":"Poxvirus Bioinformatics Resource Center: a comprehensive Poxviridae informational and analytical resource.","year":2004,"url":"http://doi.org/10.1093/nar/gki110","authors":"Lefkowitz EJ., Upton C., Changayil SS., Buck C., Traktman P., Buller RM.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki110","created_at":"2021-09-30T08:23:23.152Z","updated_at":"2021-09-30T08:23:23.152Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":781,"relation":"undefined"}],"grants":[{"id":1690,"fairsharing_record_id":2117,"organisation_id":2101,"relation":"funds","created_at":"2021-09-30T09:25:16.801Z","updated_at":"2021-09-30T09:29:28.444Z","grant_id":261,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","grant":"OPG0155125-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1691,"fairsharing_record_id":2117,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:25:16.828Z","updated_at":"2021-09-30T09:29:43.286Z","grant_id":375,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 AI48706","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8246,"fairsharing_record_id":2117,"organisation_id":250,"relation":"funds","created_at":"2021-09-30T09:31:43.374Z","updated_at":"2021-09-30T09:31:43.432Z","grant_id":1298,"is_lead":false,"saved_state":{"id":250,"name":"Bioinformatics Resource Centers, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01 AI48653-02","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2109","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:43:52.147Z","metadata":{"doi":"10.25504/FAIRsharing.tpey2t","name":"Online Mendelian Inheritance in Animals","status":"ready","contacts":[{"contact_name":"Frank Nicholas","contact_email":"frank.nicholas@sydney.edu.au"}],"homepage":"https://omia.org/home/","identifier":2109,"description":"Online Mendelian Inheritance in Animals is a a database of inherited disorders, other (single-locus) traits, and genes in animal species (other than human and mouse).","abbreviation":"OMIA","data_curation":{"url":"https://omia.org/home/","type":"manual"},"support_links":[{"url":"https://omia.org/news/","name":"News","type":"Blog/News"}],"year_creation":1978,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010772","name":"re3data:r3d100010772","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006436","name":"SciCrunch:RRID:SCR_006436","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000579","bsg-d000579"],"name":"FAIRsharing record for: Online Mendelian Inheritance in Animals","abbreviation":"OMIA","url":"https://fairsharing.org/10.25504/FAIRsharing.tpey2t","doi":"10.25504/FAIRsharing.tpey2t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Online Mendelian Inheritance in Animals is a a database of inherited disorders, other (single-locus) traits, and genes in animal species (other than human and mouse).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Biology"],"domains":["Phenotype","Disorder","Classification","Gene","Genetic disorder"],"taxonomies":["Metazoa"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":557,"pubmed_id":16381939,"title":"OMIA (Online Mendelian Inheritance in Animals): an enhanced platform and integration into the Entrez search interface at NCBI.","year":2005,"url":"http://doi.org/10.1093/nar/gkj152","authors":"Lenffer J., Nicholas FW., Castle K., Rao A., Gregory S., Poidinger M., Mailman MD., Ranganathan S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj152","created_at":"2021-09-30T08:23:20.868Z","updated_at":"2021-09-30T08:23:20.868Z"},{"id":2080,"pubmed_id":12520001,"title":"Online Mendelian Inheritance in Animals (OMIA): a comparative knowledgebase of genetic disorders and other familial traits in non-laboratory animals.","year":2003,"url":"http://doi.org/10.1093/nar/gkg074","authors":"Nicholas FW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkg074","created_at":"2021-09-30T08:26:14.533Z","updated_at":"2021-09-30T08:26:14.533Z"},{"id":2101,"pubmed_id":33156546,"title":"Online Mendelian Inheritance in Animals (OMIA): a record of advances in animal genetics, freely available on the Internet for 25 years.","year":2020,"url":"http://doi.org/10.1111/age.13010","authors":"Nicholas FW","journal":"Anim Genet","doi":"10.1111/age.13010","created_at":"2021-09-30T08:26:16.749Z","updated_at":"2021-09-30T08:26:16.749Z"}],"licence_links":[{"licence_name":"Sydney University Data Policies and Disclaimer","licence_id":765,"licence_url":"https://sydney.edu.au/disclaimer.shtml","link_id":258,"relation":"undefined"},{"licence_name":"The University of Sydney Privacy Policy","licence_id":787,"licence_url":"https://sydney.edu.au/privacy.shtml","link_id":280,"relation":"undefined"}],"grants":[{"id":1676,"fairsharing_record_id":2109,"organisation_id":3130,"relation":"maintains","created_at":"2021-09-30T09:25:16.254Z","updated_at":"2021-09-30T09:25:16.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":3130,"name":"University of Sydney, Australia","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2110","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:37.891Z","metadata":{"doi":"10.25504/FAIRsharing.cnwx8c","name":"UNITE","status":"ready","contacts":[{"contact_name":"Urmas Kõljalg","contact_email":"urmas.koljalg@ut.ee","contact_orcid":"0000-0002-5171-1668"},{"contact_name":"Kessy Abarenkov","contact_email":"kessy.abarenkov@ut.ee","contact_orcid":null}],"homepage":"https://unite.ut.ee/index.php","citations":[],"identifier":2110,"description":"UNITE is a database and sequence management environment centered on the eukaryotic nuclear ribosomal ITS region. All eukaryotic ITS sequences from the International Nucleotide Sequence Database Collaboration are clustered to approximately the species level (distance between species in steps of 0.5%), and all such species hypotheses are given a DOI to facilitate unambiguous scientific communication and data assembly. The user can interact with these species hypotheses (e.g., SH1566366.08FU) in various ways, and third-party sequence and metadata annotation are supported. Registration is needed to access the more powerful features of the accompanying PlutoF workbench. A range of search and query options are available, and precompiled reference datasets for local sequence similarity searches and HTS pipelines are available for download. Owing to the mycological roots of UNITE, two versions of the release files are available: all eukaryotes (including fungi), and fungi only. UNITE is a community effort that relies on the scientific expertise of its users – please consider contributing by, e.g., annotating sequences of your taxa of expertise.","abbreviation":null,"data_curation":{"url":"https://unite.ut.ee/curation.php","type":"manual","notes":"Third-party annotations are performed by the UNITE Community members."},"support_links":[{"url":"info@plutof.ut.ee","type":"Support email"},{"url":"https://unite.ut.ee/primers.php","name":"News, Courses \u0026 Workshops, Primer Notes","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","associated_tools":[{"url":"http://unite.ut.ee/analysis.php","name":"Analysis"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011316","name":"re3data:r3d100011316","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006518","name":"SciCrunch:RRID:SCR_006518","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://plutof.ut.ee/public/manuals/docs/sh_manual_3_en.pdf","type":"controlled","notes":"Only aproved members can submit data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000580","bsg-d000580"],"name":"FAIRsharing record for: UNITE","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.cnwx8c","doi":"10.25504/FAIRsharing.cnwx8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UNITE is a database and sequence management environment centered on the eukaryotic nuclear ribosomal ITS region. All eukaryotic ITS sequences from the International Nucleotide Sequence Database Collaboration are clustered to approximately the species level (distance between species in steps of 0.5%), and all such species hypotheses are given a DOI to facilitate unambiguous scientific communication and data assembly. The user can interact with these species hypotheses (e.g., SH1566366.08FU) in various ways, and third-party sequence and metadata annotation are supported. Registration is needed to access the more powerful features of the accompanying PlutoF workbench. A range of search and query options are available, and precompiled reference datasets for local sequence similarity searches and HTS pipelines are available for download. Owing to the mycological roots of UNITE, two versions of the release files are available: all eukaryotes (including fungi), and fungi only. UNITE is a community effort that relies on the scientific expertise of its users – please consider contributing by, e.g., annotating sequences of your taxa of expertise.","linked_records":[],"linking_records":[{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14016}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Bioinformatics","Taxonomy","Ecology","Biodiversity"],"domains":["Taxonomic classification","Annotation","Deoxyribonucleic acid","Ribosomal RNA","Gene","FAIR"],"taxonomies":["Eukaryota","Fungi"],"user_defined_tags":[],"countries":["Australia","Denmark","Estonia","Norway","Sweden","United Kingdom"],"publications":[{"id":541,"pubmed_id":20409185,"title":"The UNITE database for molecular identification of fungi--recent updates and future perspectives.","year":2010,"url":"http://doi.org/10.1111/j.1469-8137.2009.03160.x","authors":"Abarenkov K., Henrik Nilsson R., Larsson KH., Alexander IJ., Eberhardt U., Erland S., Høiland K., Kjøller R., Larsson E., Pennanen T., Sen R., Taylor AF., Tedersoo L., Ursing BM., Vrålstad T., Liimatainen K., Peintner U., Kõljalg U.,","journal":"New Phytol.","doi":"10.1111/j.1469-8137.2009.03160.x","created_at":"2021-09-30T08:23:19.085Z","updated_at":"2021-09-30T08:23:19.085Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Generic (CC BY-NC-ND 2.5)","licence_id":175,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/","link_id":773,"relation":"undefined"}],"grants":[{"id":9675,"fairsharing_record_id":2110,"organisation_id":3058,"relation":"collaborates_on","created_at":"2022-07-13T13:41:04.247Z","updated_at":"2022-07-13T13:41:04.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":1677,"fairsharing_record_id":2110,"organisation_id":3132,"relation":"maintains","created_at":"2021-09-30T09:25:16.291Z","updated_at":"2022-07-13T13:41:04.341Z","grant_id":null,"is_lead":true,"saved_state":{"id":3132,"name":"University of Tartu, Estonia","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBiQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b705a6367c7216a58b8ff3fe1165465a53ca7a2d/unite-logo-ring2.png?disposition=inline","exhaustive_licences":false}},{"id":"2126","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:59:10.301Z","metadata":{"doi":"10.25504/FAIRsharing.651n9j","name":"Electron Microscopy Data Bank","status":"ready","contacts":[{"contact_name":"Ardan Patwardhan","contact_email":"help@emdatabank.org","contact_orcid":"0000-0001-7663-9028"}],"homepage":"https://www.ebi.ac.uk/emdb/","citations":[{"doi":"10.1093/nar/gkv1126","pubmed_id":26578576,"publication_id":2978}],"identifier":2126,"description":"Cryo-electron microscopy reconstruction methods are uniquely able to reveal structures of many important macromolecules and macromolecular complexes. The Electron Microscopy Data Bank (EMDB) is a public repository for electron microscopy density maps of macromolecular complexes and subcellular structures. It covers a variety of techniques, including single-particle analysis, electron tomography, and electron (2D) crystallography. The EMDB was founded at EBI in 2002, under the leadership of Kim Henrick. Since 2007 it has been operated jointly by the PDBe, and the Research Collaboratory for Structural Bioinformatics (RCSB PDB) as a part of EMDataBank which is funded by a joint NIH grant to PDBe, the RCSB and the National Center for Macromolecular Imaging (NCMI).","abbreviation":"EMDB","data_curation":{"url":"https://www.ebi.ac.uk/emdb/documentation/policies#5","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/emdb/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/emdb/genealogy.html","name":"3DEM History and Genealogy","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/emdb/emschema.html/","name":"EMDB Data Model","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/emdb/statistics_main.html","name":"EMDB Statistics","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/emdb/policies.html","name":"Policies","type":"Help documentation"}],"year_creation":2002,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/emdb/validators.html/","name":"EM Validation Services"},{"url":"https://www.ebi.ac.uk/emdb/test_data.html","name":"Test data"},{"url":"https://www.ebi.ac.uk/emdb/validation/fsc/","name":"Fourier shell correlation server"},{"url":"https://www.ebi.ac.uk/emdb/validation/tiltpair/","name":"Tilt pair validation server"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010562","name":"re3data:r3d100010562","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006506","name":"SciCrunch:RRID:SCR_006506","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://deposit-pdbe.wwpdb.org/deposition/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000596","bsg-d000596"],"name":"FAIRsharing record for: Electron Microscopy Data Bank","abbreviation":"EMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.651n9j","doi":"10.25504/FAIRsharing.651n9j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cryo-electron microscopy reconstruction methods are uniquely able to reveal structures of many important macromolecules and macromolecular complexes. The Electron Microscopy Data Bank (EMDB) is a public repository for electron microscopy density maps of macromolecular complexes and subcellular structures. It covers a variety of techniques, including single-particle analysis, electron tomography, and electron (2D) crystallography. The EMDB was founded at EBI in 2002, under the leadership of Kim Henrick. Since 2007 it has been operated jointly by the PDBe, and the Research Collaboratory for Structural Bioinformatics (RCSB PDB) as a part of EMDataBank which is funded by a joint NIH grant to PDBe, the RCSB and the National Center for Macromolecular Imaging (NCMI).","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10973},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11358},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11848},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12319},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12696},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12957},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13978},{"linking_record_name":"EVORA’s Selection of FAIRsharing Referenced Resources for Pandemic Preparedness and Response","linking_record_id":5449,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19701}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology","Virology","Epidemiology"],"domains":["Bioimaging","X-ray diffraction","Electron density map","Microscopy","Electron microscopy","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":567,"pubmed_id":20935055,"title":"EMDataBank.org: unified data resource for CryoEM","year":2010,"url":"http://doi.org/10.1093/nar/gkq880","authors":"Lawson CL, Baker ML, Best C, Bi C, Dougherty M, Feng P, van Ginkel G, Devkota B, Lagerstedt I, Ludtke SJ, Newman RH, Oldfield TJ, Rees I, Sahni G, Sala R, Velankar S, Warren J, Westbrook JD, Henrick K, Kleywegt GJ, Berman HM, Chiu W.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq880","created_at":"2021-09-30T08:23:22.001Z","updated_at":"2021-09-30T08:23:22.001Z"},{"id":670,"pubmed_id":12417136,"title":"New electron microscopy database and deposition system","year":2002,"url":"http://doi.org/10.1016/s0968-0004(02)02176-x","authors":"Tagari, M. Newman, R. Chagoyen, M. Carazo, J. M. Henrick, K.","journal":"Trends in Biochemical Sciences","doi":"10.1016/S0968-0004(02)02176-X","created_at":"2021-09-30T08:23:33.935Z","updated_at":"2021-09-30T08:23:33.935Z"},{"id":2978,"pubmed_id":26578576,"title":"EMDataBank unified data resource for 3DEM.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1126","authors":"Lawson CL,Patwardhan A,Baker ML,Hryc C,Garcia ES,Hudson BP,Lagerstedt I,Ludtke SJ,Pintilie G,Sala R,Westbrook JD,Berman HM,Kleywegt GJ,Chiu W","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1126","created_at":"2021-09-30T08:28:06.973Z","updated_at":"2021-09-30T11:29:49.395Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2782,"relation":"applies_to_content"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1861,"relation":"undefined"}],"grants":[{"id":1712,"fairsharing_record_id":2126,"organisation_id":2423,"relation":"maintains","created_at":"2021-09-30T09:25:17.637Z","updated_at":"2021-09-30T09:25:17.637Z","grant_id":null,"is_lead":true,"saved_state":{"id":2423,"name":"Research Collaboratory for Structural Bioinformatics","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":1710,"fairsharing_record_id":2126,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:17.567Z","updated_at":"2021-09-30T09:25:17.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1713,"fairsharing_record_id":2126,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:17.666Z","updated_at":"2021-09-30T09:25:17.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9741,"fairsharing_record_id":2126,"organisation_id":3263,"relation":"associated_with","created_at":"2022-08-02T10:05:29.732Z","updated_at":"2022-08-02T10:05:29.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":10013,"fairsharing_record_id":2126,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.788Z","updated_at":"2022-10-13T09:43:38.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":8732,"fairsharing_record_id":2126,"organisation_id":3342,"relation":"associated_with","created_at":"2022-01-20T09:45:58.092Z","updated_at":"2022-01-20T09:45:58.092Z","grant_id":null,"is_lead":false,"saved_state":{"id":3342,"name":"Instruct-ERIC","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":11582,"fairsharing_record_id":2126,"organisation_id":2300,"relation":"maintains","created_at":"2024-03-21T13:59:09.977Z","updated_at":"2024-03-21T13:59:09.977Z","grant_id":null,"is_lead":true,"saved_state":{"id":2300,"name":"PDBe Team, European Bioinformatics Institute","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbllCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--18021442ee90695572715042ff5364d65b2a27a0/EMBD_logo_2017_light_background.png?disposition=inline","exhaustive_licences":false}},{"id":"2127","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:07.336Z","metadata":{"doi":"10.25504/FAIRsharing.t19hpa","name":"Integrated Taxonomic Information System","status":"ready","contacts":[{"contact_name":"Gerald Guala","contact_email":"itiswebmaster@itis.gov","contact_orcid":"0000-0002-4972-3782"}],"homepage":"https://www.itis.gov/","citations":[],"identifier":2127,"description":"The Integrated Taxonomic Information System (ITIS) provides taxonomic information on plants, animals, fungi, and microbes of North America and the world. The goal is to create an easily accessible database with reliable information on species names and their hierarchical classification. The database will be reviewed periodically to ensure high quality with valid classifications, revisions, and additions of newly described species. The ITIS includes documented taxonomic information of flora and fauna from both aquatic and terrestrial habitats.","abbreviation":"ITIS","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.itis.gov/pdf/faq_itis_tsn.pdf","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011213","name":"re3data:r3d100011213","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.itis.gov/contribute.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000597","bsg-d000597"],"name":"FAIRsharing record for: Integrated Taxonomic Information System","abbreviation":"ITIS","url":"https://fairsharing.org/10.25504/FAIRsharing.t19hpa","doi":"10.25504/FAIRsharing.t19hpa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Taxonomic Information System (ITIS) provides taxonomic information on plants, animals, fungi, and microbes of North America and the world. The goal is to create an easily accessible database with reliable information on species names and their hierarchical classification. The database will be reviewed periodically to ensure high quality with valid classifications, revisions, and additions of newly described species. The ITIS includes documented taxonomic information of flora and fauna from both aquatic and terrestrial habitats.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10974}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Taxonomy","Biodiversity","Life Science"],"domains":["Taxonomic classification","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada","Mexico","United States"],"publications":[],"licence_links":[{"licence_name":"ITIS Privacy Statement and Disclaimer","licence_id":462,"licence_url":"https://www.itis.gov/privacy.html","link_id":2415,"relation":"undefined"}],"grants":[{"id":1715,"fairsharing_record_id":2127,"organisation_id":2950,"relation":"maintains","created_at":"2021-09-30T09:25:17.799Z","updated_at":"2021-09-30T09:25:17.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":2950,"name":"United States Environmental Protection Agency","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1718,"fairsharing_record_id":2127,"organisation_id":2951,"relation":"maintains","created_at":"2021-09-30T09:25:17.917Z","updated_at":"2021-09-30T09:25:17.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":2951,"name":"United States Fish and Wildlife Service","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1721,"fairsharing_record_id":2127,"organisation_id":2060,"relation":"maintains","created_at":"2021-09-30T09:25:18.041Z","updated_at":"2021-09-30T09:25:18.041Z","grant_id":null,"is_lead":false,"saved_state":{"id":2060,"name":"National Park Service, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1714,"fairsharing_record_id":2127,"organisation_id":2939,"relation":"maintains","created_at":"2021-09-30T09:25:17.759Z","updated_at":"2021-09-30T09:25:17.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1716,"fairsharing_record_id":2127,"organisation_id":2953,"relation":"maintains","created_at":"2021-09-30T09:25:17.843Z","updated_at":"2021-09-30T09:25:17.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":2953,"name":"United States Geological Survey (USGS)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1717,"fairsharing_record_id":2127,"organisation_id":2579,"relation":"maintains","created_at":"2021-09-30T09:25:17.880Z","updated_at":"2021-09-30T09:25:17.880Z","grant_id":null,"is_lead":false,"saved_state":{"id":2579,"name":"Smithsonian National Museum of Natural History, Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1719,"fairsharing_record_id":2127,"organisation_id":43,"relation":"maintains","created_at":"2021-09-30T09:25:17.959Z","updated_at":"2021-09-30T09:25:17.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":43,"name":"Agriculture and Agri-Food Canada, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1720,"fairsharing_record_id":2127,"organisation_id":2103,"relation":"maintains","created_at":"2021-09-30T09:25:18.001Z","updated_at":"2021-09-30T09:25:18.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":2103,"name":"NatureServe, Arlington, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1722,"fairsharing_record_id":2127,"organisation_id":596,"relation":"maintains","created_at":"2021-09-30T09:25:18.084Z","updated_at":"2021-09-30T09:25:18.084Z","grant_id":null,"is_lead":false,"saved_state":{"id":596,"name":"Conabio, Mexico City, Mexico","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1723,"fairsharing_record_id":2127,"organisation_id":2056,"relation":"funds","created_at":"2021-09-30T09:25:18.122Z","updated_at":"2021-09-30T09:25:18.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2111","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:06.528Z","metadata":{"doi":"10.25504/FAIRsharing.bdn9br","name":"LipidBank","status":"ready","contacts":[{"contact_name":"Etsuko Yasugi","contact_email":"yasugi@ri.imcj.go.jp"}],"homepage":"http://lipidbank.jp/index.html","citations":[],"identifier":2111,"description":"LipidBank is an open, publicly free database of natural lipids including fatty acids, glycerolipids, sphingolipids, steroids, and various vitamins.","abbreviation":"LipidBank","data_curation":{"type":"manual"},"support_links":[{"url":"metabolome@cb.k.u-tokyo.ac.jp","type":"Support email"},{"url":"http://lipidbank.jp/wiki/Category:LB","type":"Help documentation"},{"url":"http://lipidbank.jp/help/about.html","type":"Help documentation"}],"year_creation":1989,"data_versioning":"no","data_access_condition":{"url":"https://lipidbank.jp/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000581","bsg-d000581"],"name":"FAIRsharing record for: LipidBank","abbreviation":"LipidBank","url":"https://fairsharing.org/10.25504/FAIRsharing.bdn9br","doi":"10.25504/FAIRsharing.bdn9br","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LipidBank is an open, publicly free database of natural lipids including fatty acids, glycerolipids, sphingolipids, steroids, and various vitamins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Lipid","Molecular entity","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":542,"pubmed_id":12058481,"title":"[LIPIDBANK for Web, the newly developed lipid database].","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12058481","authors":"Yasugi E., Watanabe K.,","journal":"Tanpakushitsu Kakusan Koso","doi":null,"created_at":"2021-09-30T08:23:19.184Z","updated_at":"2021-09-30T08:23:19.184Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":2441,"relation":"undefined"}],"grants":[{"id":1678,"fairsharing_record_id":2111,"organisation_id":3140,"relation":"maintains","created_at":"2021-09-30T09:25:16.333Z","updated_at":"2021-09-30T09:25:16.333Z","grant_id":null,"is_lead":false,"saved_state":{"id":3140,"name":"University of Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2112","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:01.434Z","metadata":{"doi":"10.25504/FAIRsharing.mx5cxe","name":"Bacterial Protein Interaction Database","status":"ready","contacts":[{"contact_name":"John Parkinson","contact_email":"jparkin@sickkids.ca"}],"homepage":"https://www.compsysbio.org/bacteriome/","citations":[],"identifier":2112,"description":"Bacteriome.org is a database integrating physical (protein-protein) and functional interactions within the context of an E. coli knowledgebase.","abbreviation":"Bacteriome.org","data_curation":{"type":"not found"},"support_links":[],"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012726","name":"re3data:r3d100012726","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001934","name":"SciCrunch:RRID:SCR_001934","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000582","bsg-d000582"],"name":"FAIRsharing record for: Bacterial Protein Interaction Database","abbreviation":"Bacteriome.org","url":"https://fairsharing.org/10.25504/FAIRsharing.mx5cxe","doi":"10.25504/FAIRsharing.mx5cxe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bacteriome.org is a database integrating physical (protein-protein) and functional interactions within the context of an E. coli knowledgebase.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Network model","Molecular interaction","Protein"],"taxonomies":["Escherichia coli"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":544,"pubmed_id":17942431,"title":"Bacteriome.org--an integrated protein interaction database for E. coli.","year":2007,"url":"http://doi.org/10.1093/nar/gkm807","authors":"Su C., Peregrin-Alvarez JM., Butland G., Phanse S., Fong V., Emili A., Parkinson J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm807","created_at":"2021-09-30T08:23:19.387Z","updated_at":"2021-09-30T08:23:19.387Z"}],"licence_links":[],"grants":[{"id":1679,"fairsharing_record_id":2112,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:16.375Z","updated_at":"2021-09-30T09:25:16.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1680,"fairsharing_record_id":2112,"organisation_id":3141,"relation":"maintains","created_at":"2021-09-30T09:25:16.412Z","updated_at":"2021-09-30T09:25:16.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":3141,"name":"University of Toronto, Canada","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2128","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-05T05:09:35.903Z","metadata":{"doi":"10.25504/FAIRsharing.92dt9d","name":"ProteomeXchange","status":"ready","contacts":[{"contact_name":"Juan Antonio Vizcaino","contact_email":"juan@ebi.ac.uk","contact_orcid":"0000-0002-3905-4335"}],"homepage":"http://www.proteomexchange.org/","citations":[{"doi":"10.1093/nar/gkw936","pubmed_id":27924013,"publication_id":1630}],"identifier":2128,"description":"The ProteomeXchange consortium has been set up to provide a single point of submission of MS proteomics data to the main existing proteomics repositories, and to encourage the data exchange between them for optimal data dissemination.","abbreviation":"ProteomeXchange","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.proteomexchange.org/docs/guidelines_px.pdf","name":"Data Submission Guidelines","type":"Help documentation"},{"url":"http://www.proteomexchange.org/pxcollaborativeagreement.pdf","name":"PX Collaborative Agreement","type":"Help documentation"},{"url":"https://groups.google.com/forum/feed/proteomexchange/msgs/rss_v2_0.xml","name":"RSS Feed","type":"Blog/News"},{"url":"https://tess.elixir-europe.org/materials/pride-and-proteomexchange-webinar","name":"Pride and proteomexchange webinar","type":"TeSS links to training materials"},{"url":"https://twitter.com/ProteomeXchange","name":"@ProteomeXchange","type":"Twitter"},{"url":"https://www.proteomexchange.org/contact/index.html","name":"ProteomeXchange Partner Repository Coordinators","type":"Contact form"},{"url":"https://www.proteomexchange.org/docs/reprocessed_guidelines_px.pdf","name":"Guidelines for Reprocessed datasets","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://proteomecentral.proteomexchange.org/PROXI.php","name":"PROXI Exchange"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010692","name":"re3data:r3d100010692","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004055","name":"SciCrunch:RRID:SCR_004055","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.proteomexchange.org/docs/guidelines_px.pdf","type":"open","notes":"ProteomeXchange supports submission of experiments coming from all proteomics data workflows."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000598","bsg-d000598"],"name":"FAIRsharing record for: ProteomeXchange","abbreviation":"ProteomeXchange","url":"https://fairsharing.org/10.25504/FAIRsharing.92dt9d","doi":"10.25504/FAIRsharing.92dt9d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ProteomeXchange consortium has been set up to provide a single point of submission of MS proteomics data to the main existing proteomics repositories, and to encourage the data exchange between them for optimal data dissemination.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10975},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15067},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16190}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Peptide identification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China","Japan","United States","European Union"],"publications":[{"id":99,"pubmed_id":24727771,"title":"ProteomeXchange provides globally coordinated proteomics data submission and dissemination.","year":2014,"url":"http://doi.org/10.1038/nbt.2839","authors":"Vizcaíno JA, Deutsch EW, Wang R, et al.","journal":"Nat Biotechnol.","doi":"10.1038/nbt.2839","created_at":"2021-09-30T08:22:31.122Z","updated_at":"2021-09-30T08:22:31.122Z"},{"id":1630,"pubmed_id":27924013,"title":"The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition.","year":2016,"url":"http://doi.org/10.1093/nar/gkw936","authors":"Deutsch EW,Csordas A,Sun Z,Jarnuczak A,Perez-Riverol Y,Ternent T,Campbell DS,Bernal-Llinares M,Okuda S,Kawano S,Moritz RL,Carver JJ,Wang M,Ishihama Y,Bandeira N,Hermjakob H,Vizcaino JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw936","created_at":"2021-09-30T08:25:22.650Z","updated_at":"2021-09-30T11:29:17.127Z"},{"id":3155,"pubmed_id":31686107,"title":"The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics.","year":2020,"url":"https://doi.org/10.1093/nar/gkz984","authors":"Deutsch EW, Bandeira N, Sharma V, Perez-Riverol Y, Carver JJ, Kundu DJ, García-Seisdedos D, Jarnuczak AF, Hewapathirana S, Pullman BS, Wertz J, Sun Z, Kawano S, Okuda S, Watanabe Y, Hermjakob H, MacLean B, MacCoss MJ, Zhu Y, Ishihama Y, Vizcaíno JA","journal":"Nucleic acids research","doi":"10.1093/nar/gkz984","created_at":"2021-12-10T15:20:34.304Z","updated_at":"2021-12-10T15:20:34.304Z"},{"id":4028,"pubmed_id":36370099,"title":"The ProteomeXchange consortium at 10 years: 2023 update","year":2023,"url":"http://dx.doi.org/10.1093/nar/gkac1040","authors":"Deutsch EW, Bandeira N, Perez-Riverol Y, Sharma V, Carver JJ, Mendoza L, Kundu DJ, Wang S, Bandla C, Kamatchinathan S, Hewapathirana S, Pullman BS, Wertz J, Sun Z, Kawano S, Okuda S, Watanabe Y, MacLean B, MacCoss MJ, Zhu Y, Ishihama Y, Vizcaíno JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1040","created_at":"2023-10-23T13:55:17.572Z","updated_at":"2023-10-23T13:55:17.572Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3381,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3380,"relation":"applies_to_content"},{"licence_name":"EBI Privacy Policy","licence_id":258,"licence_url":"http://www.ebi.ac.uk/about/privacy","link_id":2417,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2418,"relation":"undefined"},{"licence_name":"iProX Data Licence","licence_id":452,"licence_url":"https://www.iprox.org/page/iproxDataLisence.html","link_id":3382,"relation":"applies_to_content"}],"grants":[{"id":1730,"fairsharing_record_id":2128,"organisation_id":2899,"relation":"funds","created_at":"2021-09-30T09:25:18.443Z","updated_at":"2021-09-30T09:29:26.170Z","grant_id":249,"is_lead":false,"saved_state":{"id":2899,"name":"UK-Japan collaboration","grant":"BB/N022440/1","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1729,"fairsharing_record_id":2128,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:18.400Z","updated_at":"2021-09-30T09:31:07.309Z","grant_id":1026,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT101477MA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1724,"fairsharing_record_id":2128,"organisation_id":1396,"relation":"maintains","created_at":"2021-09-30T09:25:18.159Z","updated_at":"2021-09-30T09:25:18.159Z","grant_id":null,"is_lead":false,"saved_state":{"id":1396,"name":"Institute for Systems Biology (ISB), Seattle, WA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1726,"fairsharing_record_id":2128,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:18.306Z","updated_at":"2021-09-30T09:25:18.306Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1727,"fairsharing_record_id":2128,"organisation_id":1968,"relation":"maintains","created_at":"2021-09-30T09:25:18.337Z","updated_at":"2021-09-30T09:25:18.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":1968,"name":"National Center for Protein Sciences, Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1734,"fairsharing_record_id":2128,"organisation_id":3150,"relation":"maintains","created_at":"2021-09-30T09:25:18.660Z","updated_at":"2021-09-30T09:25:18.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":3150,"name":"University of Washington, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1733,"fairsharing_record_id":2128,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:18.566Z","updated_at":"2021-09-30T09:30:31.538Z","grant_id":747,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K01997X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1725,"fairsharing_record_id":2128,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:18.252Z","updated_at":"2021-09-30T09:31:29.529Z","grant_id":1194,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"2P50 GM076547/Center for Systems Biology","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8249,"fairsharing_record_id":2128,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:31:44.458Z","updated_at":"2021-09-30T09:31:44.511Z","grant_id":1306,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01GM087221","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1732,"fairsharing_record_id":2128,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:18.530Z","updated_at":"2021-09-30T09:25:18.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1731,"fairsharing_record_id":2128,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:18.493Z","updated_at":"2021-09-30T09:30:06.310Z","grant_id":553,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"U54EB020406","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8304,"fairsharing_record_id":2128,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:00.469Z","updated_at":"2021-09-30T09:32:00.556Z","grant_id":1426,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024225/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1728,"fairsharing_record_id":2128,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:18.362Z","updated_at":"2022-01-17T08:44:29.005Z","grant_id":1578,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"'ProteomeXchange' grant 260558","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8284,"fairsharing_record_id":2128,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:54.352Z","updated_at":"2021-09-30T09:31:54.439Z","grant_id":1380,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I00095X/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2125","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-27T22:36:05.869Z","metadata":{"doi":"10.25504/FAIRsharing.rcbwsf","name":"Giga Science Database","status":"ready","contacts":[{"contact_name":"Database Admin","contact_email":"database@gigasciencejournal.com"}],"homepage":"http://gigadb.org/","citations":[],"identifier":2125,"description":"GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience; however, it also includes a subset of datasets that are not associated with GigaScience articles. GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study.","abbreviation":"GigaDB","data_curation":{"url":"http://gigadb.org/site/faq","type":"manual/automated"},"support_links":[{"url":"http://gigadb.org/site/contact","type":"Contact form"},{"url":"http://gigadb.org/site/term","type":"Help documentation"},{"url":"http://gigadb.org/rss/latest","type":"Blog/News"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://galaxy.cbiit.cuhk.edu.hk/","name":"GigaGalaxy"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010478","name":"re3data:r3d100010478","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004002","name":"SciCrunch:RRID:SCR_004002","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.alibabacloud.com/help/en/","name":"More information"},"data_deposition_condition":{"url":"http://gigadb.org/site/guide","type":"controlled","notes":"Only data related to GigaScience articles can be entered, but they are currently working to scale this out with other publishers."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000595","bsg-d000595"],"name":"FAIRsharing record for: Giga Science Database","abbreviation":"GigaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rcbwsf","doi":"10.25504/FAIRsharing.rcbwsf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience; however, it also includes a subset of datasets that are not associated with GigaScience articles. GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10972},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11534},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12695}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Genetics","Proteomics","Computational Biology","Life Science"],"domains":["Expression data","Imaging","Sequencing","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hong Kong"],"publications":[{"id":565,"pubmed_id":23587345,"title":"GigaDB: announcing the GigaScience database","year":2012,"url":"http://doi.org/10.1186/2047-217X-1-11","authors":"Tam P Sneddon, Peter Li and Scott C Edmunds","journal":"GigaScience","doi":"10.1186/2047-217X-1-11","created_at":"2021-09-30T08:23:21.783Z","updated_at":"2021-09-30T08:23:21.783Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3496,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3497,"relation":"applies_to_content"},{"licence_name":"GigaDB Terms of Use","licence_id":344,"licence_url":"http://gigadb.org/site/term","link_id":1651,"relation":"undefined"}],"grants":[{"id":1709,"fairsharing_record_id":2125,"organisation_id":509,"relation":"funds","created_at":"2021-09-30T09:25:17.530Z","updated_at":"2021-09-30T09:25:17.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":509,"name":"China National GeneBank, Shenzhen, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1708,"fairsharing_record_id":2125,"organisation_id":1154,"relation":"maintains","created_at":"2021-09-30T09:25:17.491Z","updated_at":"2021-09-30T09:25:17.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":1154,"name":"GigaScience/BGI HK Ltd","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbTREIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--5d5441680b4ae96bd5f55e15a8900ea038f8d187/GigaDB_logo_transparent.png?disposition=inline","exhaustive_licences":false}},{"id":"2207","type":"fairsharing_records","attributes":{"created_at":"2015-05-20T12:05:09.000Z","updated_at":"2024-03-21T13:59:13.966Z","metadata":{"doi":"10.25504/FAIRsharing.mckkb4","name":"Worldwide Protein Data Bank","status":"ready","contacts":[{"contact_email":"info@wwpdb.org"}],"homepage":"http://www.wwpdb.org","citations":[{"doi":"10.1038/nsb1203-980","pubmed_id":14634627,"publication_id":258}],"identifier":2207,"description":"The Worldwide PDB (wwPDB) organization manages the PDB archive and ensures that the PDB is freely and publicly available to the global community. The mission of the wwPDB is to maintain a single Protein Data Bank Archive of macromolecular structural data that is freely and publicly available to the global community. The wwPDB is composed of the RCSB PDB, PDBe, PDBj, BMRB, and EMDB.","abbreviation":"wwPDB","data_curation":{"url":"http://www.wwpdb.org/documentation/procedure","type":"manual/automated"},"support_links":[{"url":"http://www.wwpdb.org/about/contact","name":"Contact Details","type":"Contact form"},{"url":"http://www.wwpdb.org/deposition/faq","name":"Deposition FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.wwpdb.org/about/faq","name":"General FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.wwpdb.org/documentation/file-format","name":"File Format Docs","type":"Help documentation"},{"url":"http://www.wwpdb.org/stats/download","name":"Download Statistics","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/a-critical-guide-to-the-pdb","name":"A Critical Guide to the PDB","type":"TeSS links to training materials"},{"url":"http://www.wwpdb.org/deposition/tutorial","name":"Deposition Tour","type":"Training documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"https://validate.wwpdb.org","name":"wwPDB Validation Service"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011104","name":"re3data:r3d100011104","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006555","name":"SciCrunch:RRID:SCR_006555","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.wwpdb.org/about/usage-policies","type":"open"},"resource_sustainability":{"url":"http://www.wwpdb.org/about/faq","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.wwpdb.org/documentation/policy","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000681","bsg-d000681"],"name":"FAIRsharing record for: Worldwide Protein Data Bank","abbreviation":"wwPDB","url":"https://fairsharing.org/10.25504/FAIRsharing.mckkb4","doi":"10.25504/FAIRsharing.mckkb4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Worldwide PDB (wwPDB) organization manages the PDB archive and ensures that the PDB is freely and publicly available to the global community. The mission of the wwPDB is to maintain a single Protein Data Bank Archive of macromolecular structural data that is freely and publicly available to the global community. The wwPDB is composed of the RCSB PDB, PDBe, PDBj, BMRB, and EMDB.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10991},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12718},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16191}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Protein structure","Deoxyribonucleic acid","Ribonucleic acid","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States"],"publications":[{"id":258,"pubmed_id":14634627,"title":"Announcing the worldwide Protein Data Bank.","year":2003,"url":"http://doi.org/10.1038/nsb1203-980","authors":"Berman H., Henrick K., Nakamura H.,","journal":"Nat. Struct. Biol.","doi":"10.1038/nsb1203-980","created_at":"2021-09-30T08:22:47.891Z","updated_at":"2021-09-30T08:22:47.891Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2779,"relation":"applies_to_content"}],"grants":[{"id":1978,"fairsharing_record_id":2207,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:27.360Z","updated_at":"2021-09-30T09:25:27.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1984,"fairsharing_record_id":2207,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:27.632Z","updated_at":"2021-09-30T09:25:27.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1980,"fairsharing_record_id":2207,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:25:27.506Z","updated_at":"2021-09-30T09:25:27.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1982,"fairsharing_record_id":2207,"organisation_id":2301,"relation":"associated_with","created_at":"2021-09-30T09:25:27.560Z","updated_at":"2022-08-02T08:43:10.956Z","grant_id":null,"is_lead":false,"saved_state":{"id":2301,"name":"PDBj","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1983,"fairsharing_record_id":2207,"organisation_id":3167,"relation":"funds","created_at":"2021-09-30T09:25:27.590Z","updated_at":"2021-09-30T09:25:27.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1985,"fairsharing_record_id":2207,"organisation_id":3263,"relation":"maintains","created_at":"2021-09-30T09:25:27.670Z","updated_at":"2022-08-02T08:43:15.110Z","grant_id":null,"is_lead":true,"saved_state":{"id":3263,"name":"wwPDB","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":1986,"fairsharing_record_id":2207,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:27.707Z","updated_at":"2021-09-30T09:25:27.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1987,"fairsharing_record_id":2207,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:27.749Z","updated_at":"2021-09-30T09:25:27.749Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1981,"fairsharing_record_id":2207,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:25:27.536Z","updated_at":"2021-09-30T09:25:27.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1988,"fairsharing_record_id":2207,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:27.791Z","updated_at":"2021-09-30T09:25:27.791Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1977,"fairsharing_record_id":2207,"organisation_id":2300,"relation":"associated_with","created_at":"2021-09-30T09:25:27.327Z","updated_at":"2022-08-02T08:43:10.877Z","grant_id":null,"is_lead":false,"saved_state":{"id":2300,"name":"PDBe","types":["Undefined"],"is_lead":false,"relation":"associated_with"}},{"id":9738,"fairsharing_record_id":2207,"organisation_id":836,"relation":"associated_with","created_at":"2022-08-02T08:43:10.767Z","updated_at":"2022-08-02T08:43:10.767Z","grant_id":null,"is_lead":false,"saved_state":{"id":836,"name":"Electron Microscopy Data Bank Team, European Bioinformatics Institute","types":["Lab"],"is_lead":false,"relation":"associated_with"}},{"id":1989,"fairsharing_record_id":2207,"organisation_id":2423,"relation":"associated_with","created_at":"2021-09-30T09:25:27.828Z","updated_at":"2022-08-02T08:43:11.060Z","grant_id":null,"is_lead":false,"saved_state":{"id":2423,"name":"Research Collaboratory for Structural Bioinformatics","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":1991,"fairsharing_record_id":2207,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:27.949Z","updated_at":"2021-09-30T09:25:27.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9737,"fairsharing_record_id":2207,"organisation_id":2300,"relation":"associated_with","created_at":"2022-08-02T08:43:10.705Z","updated_at":"2022-08-02T08:43:10.705Z","grant_id":null,"is_lead":false,"saved_state":{"id":2300,"name":"PDBe","types":["Undefined"],"is_lead":false,"relation":"associated_with"}},{"id":1979,"fairsharing_record_id":2207,"organisation_id":257,"relation":"associated_with","created_at":"2021-09-30T09:25:27.457Z","updated_at":"2022-08-02T08:43:10.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":257,"name":"Biological Magnetic Resonance Data Bank (BMRB)","types":["Lab"],"is_lead":false,"relation":"associated_with"}},{"id":11584,"fairsharing_record_id":2207,"organisation_id":3263,"relation":"funds","created_at":"2024-03-21T13:59:13.247Z","updated_at":"2024-03-21T13:59:13.247Z","grant_id":null,"is_lead":false,"saved_state":{"id":3263,"name":"Worldwide Protein Data Bank Foundation","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbklCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--29e5e2ef3b26da59c0587318fa3499a04518d323/wwpdb-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2208","type":"fairsharing_records","attributes":{"created_at":"2015-06-03T12:50:29.000Z","updated_at":"2024-04-29T09:56:05.717Z","metadata":{"doi":"10.25504/FAIRsharing.j45zag","name":"H-Invitational Database","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"hinvdb@ml.tokai-u.jp"}],"homepage":"http://www.h-invitational.jp/hinv/ahg-db/index.jsp","citations":[],"identifier":2208,"description":"H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing variants, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, and molecular evolutionary features , protein-protein interactions (PPIs) and gene families/groups.","abbreviation":"H-InvDB","data_curation":{"url":"http://www.h-invitational.jp/hinv/ahg-db/index.jsp","type":"manual","notes":"Curated annotations of human genes and transcripts"},"support_links":[{"url":"http://h-invitational.jp/hinv/ahg-db/contact.jsp","type":"Contact form"},{"url":"http://www.h-invitational.jp/hinv/ahg-db/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.h-invitational.jp/hinv/help/help_index.html","type":"Help documentation"},{"url":"http://www.h-invitational.jp/hinv/hws/doc/index.html","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","associated_tools":[{"url":"http://www.h-invitational.jp/hinv/blast/blasttop.cgi","name":"BLAST"}],"deprecation_date":"2024-04-29","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000682","bsg-d000682"],"name":"FAIRsharing record for: H-Invitational Database","abbreviation":"H-InvDB","url":"https://fairsharing.org/10.25504/FAIRsharing.j45zag","doi":"10.25504/FAIRsharing.j45zag","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing variants, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, and molecular evolutionary features , protein-protein interactions (PPIs) and gene families/groups.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12719}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Functional domain","Protein structure","Expression data","Protein interaction","Function analysis","Alternative splicing","Cellular localization","Genetic polymorphism","Non-coding RNA"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":319,"pubmed_id":18089548,"title":"The H-Invitational Database (H-InvDB), a comprehensive annotation resource for human genes and transcripts.","year":2007,"url":"http://doi.org/10.1093/nar/gkm999","authors":"Yamasaki C,Murakami K,Fujii Y,Sato Y,Harada E,Takeda J,Taniya T,Sakate R,Kikugawa S,Shimada M,Tanino M,Koyanagi KO,Barrero RA,Gough C,Chun HW,Habara T,Hanaoka H,Hayakawa Y,Hilton PB,Kaneko Y,Kanno M,Kawahara Y,Kawamura T,Matsuya A,Nagata N,Nishikata K,Noda AO,Nurimoto S,Saichi N,Sakai H,Sanbonmatsu R,Shiba R,Suzuki M,Takabayashi K,Takahashi A,Tamura T,Tanaka M,Tanaka S,Todokoro F,Yamaguchi K,Yamamoto N,Okido T,Mashima J,Hashizume A,Jin L,Lee KB,Lin YC,Nozaki A,Sakai K,Tada M,Miyazaki S,Makino T,Ohyanagi H,Osato N,Tanaka N,Suzuki Y,Ikeo K,Saitou N,Sugawara H,O'Donovan C,Kulikova T,Whitfield E,Halligan B,Shimoyama M,Twigger S,Yura K,Kimura K,Yasuda T,Nishikawa T,Akiyama Y,Motono C,Mukai Y,Nagasaki H,Suwa M,Horton P,Kikuno R,Ohara O,Lancet D,Eveno E,Graudens E,Imbeaud S,Debily MA,Hayashizaki Y,Amid C,Han M,Osanger A,Endo T,Thomas MA,Hirakawa M,Makalowski W,Nakao M,Kim NS,Yoo HS,De Souza SJ,Bonaldo Mde F,Niimura Y,Kuryshev V,Schupp I,Wiemann S,Bellgard M,Shionyu M,Jia L,Thierry-Mieg D,Thierry-Mieg J,Wagner L,Zhang Q,Go M,Minoshima S,Ohtsubo M,Hanada K,Tonellato P,Isogai T,Zhang J,Lenhard B,Kim S,Chen Z,Hinz U,Estreicher A,Nakai K,Makalowska I,Hide W,Tiffin N,Wilming L,Chakraborty R,Soares MB,Chiusano ML,Suzuki Y,Auffray C,Yamaguchi-Kabata Y,Itoh T,Hishiki T,Fukuchi S,Nishikawa K,Sugano S,Nomura N,Tateno Y,Imanishi T,Gojobori T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm999","created_at":"2021-09-30T08:22:54.264Z","updated_at":"2021-09-30T11:28:45.109Z"},{"id":1063,"pubmed_id":15103394,"title":"Integrative annotation of 21,037 human genes validated by full-length cDNA clones.","year":2004,"url":"http://doi.org/10.1371/journal.pbio.0020162","authors":"Imanishi T,Itoh T,Suzuki Y,O'Donovan C,Fukuchi S,Koyanagi KO,Barrero RA,Tamura T,Yamaguchi-Kabata Y,Tanino M,Yura K,Miyazaki S,Ikeo K,Homma K,Kasprzyk A,Nishikawa T,Hirakawa M,Thierry-Mieg J,Thierry-Mieg D,Ashurst J,Jia L,Nakao M,Thomas MA,Mulder N,Karavidopoulou Y,Jin L,Kim S,Yasuda T,Lenhard B,Eveno E,Suzuki Y,Yamasaki C,Takeda J,Gough C,Hilton P,Fujii Y,Sakai H,Tanaka S,Amid C,Bellgard M,Bonaldo Mde F,Bono H,Bromberg SK,Brookes AJ,Bruford E,Carninci P,Chelala C,Couillault C,de Souza SJ,Debily MA,Devignes MD,Dubchak I,Endo T,Estreicher A,Eyras E,Fukami-Kobayashi K,Gopinath GR,Graudens E,Hahn Y,Han M,Han ZG,Hanada K,Hanaoka H,Harada E,Hashimoto K,Hinz U,Hirai M,Hishiki T,Hopkinson I,Imbeaud S,Inoko H,Kanapin A,Kaneko Y,Kasukawa T,Kelso J,Kersey P,Kikuno R,Kimura K,Korn B,Kuryshev V,Makalowska I,Makino T,Mano S,Mariage-Samson R,Mashima J,Matsuda H,Mewes HW,Minoshima S,Nagai K,Nagasaki H,Nagata N,Nigam R,Ogasawara O,Ohara O,Ohtsubo M,Okada N,Okido T,Oota S,Ota M,Ota T,Otsuki T,Piatier-Tonneau D,Poustka A,Ren SX,Saitou N,Sakai K,Sakamoto S,Sakate R,Schupp I,Servant F,Sherry S,Shiba R,Shimizu N,Shimoyama M,Simpson AJ,Soares B,Steward C,Suwa M,Suzuki M,Takahashi A,Tamiya G,Tanaka H,Taylor T,Terwilliger JD,Unneberg P,Veeramachaneni V,Watanabe S,Wilming L,Yasuda N,Yoo HS,Stodolsky M,Makalowski W,Go M,Nakai K,Takagi T,Kanehisa M,Sakaki Y,Quackenbush J,Okazaki Y,Hayashizaki Y,Hide W,Chakraborty R,Nishikawa K,Sugawara H,Tateno Y,Chen Z,Oishi M,Tonellato P,Apweiler R,Okubo K,Wagner L,Wiemann S,Strausberg RL,Isogai T,Auffray C,Nomura N,Gojobori T,Sugano S","journal":"PLoS Biol","doi":"10.1371/journal.pbio.0020162","created_at":"2021-09-30T08:24:17.763Z","updated_at":"2021-09-30T08:24:17.763Z"},{"id":1064,"pubmed_id":23197657,"title":"H-InvDB in 2013: an omics study platform for human functional gene and transcript discovery.","year":2012,"url":"http://doi.org/10.1093/nar/gks1245","authors":"Takeda J,Yamasaki C,Murakami K,Nagai Y,Sera M,Hara Y,Obi N,Habara T,Gojobori T,Imanishi T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1245","created_at":"2021-09-30T08:24:17.872Z","updated_at":"2021-09-30T11:28:57.692Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 2.1 Japan (CC BY-SA 2.1 JP)","licence_id":189,"licence_url":"https://creativecommons.org/licenses/by-sa/2.1/jp/deed.en_US","link_id":868,"relation":"undefined"}],"grants":[{"id":1994,"fairsharing_record_id":2208,"organisation_id":2864,"relation":"maintains","created_at":"2021-09-30T09:25:28.043Z","updated_at":"2021-09-30T09:25:28.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":2864,"name":"Tokai University School of Medicine, Japan","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1992,"fairsharing_record_id":2208,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:25:27.988Z","updated_at":"2021-09-30T09:25:27.988Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1993,"fairsharing_record_id":2208,"organisation_id":2007,"relation":"funds","created_at":"2021-09-30T09:25:28.019Z","updated_at":"2021-09-30T09:25:28.019Z","grant_id":null,"is_lead":false,"saved_state":{"id":2007,"name":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1995,"fairsharing_record_id":2208,"organisation_id":1859,"relation":"funds","created_at":"2021-09-30T09:25:28.067Z","updated_at":"2021-09-30T09:25:28.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":1859,"name":"Ministry of Economy Trade and Industry (METI), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2201","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T19:33:25.000Z","updated_at":"2023-12-15T10:32:14.411Z","metadata":{"doi":"10.25504/FAIRsharing.1mapgk","name":"NIDDK Information Network","status":"ready","contacts":[{"contact_name":"General contact email","contact_email":"info@dknet.org"}],"homepage":"http://www.dknet.org","identifier":2201,"description":"The NIDDK Information Network provides access to large pools of data relevant to the mission of NIDDK. The dkNET portal contains information about research resources such as antibodies, vectors and mouse strains, data, protocols, and literature.","abbreviation":"dkNET","data_curation":{"url":"https://dknet.org/rin/rrids","type":"automated"},"support_links":[{"url":"https://dknet.org/about/blog","name":"dkNET Blog","type":"Blog/News"},{"url":"https://dknet.org/about/help","name":"Help Pages","type":"Help documentation"},{"url":"https://dknet.org/page/scicrunch","name":"SciCrunch and dkNET","type":"Help documentation"},{"url":"https://twitter.com/dkNET_Info","name":"@dkNET_Info","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012845","name":"re3data:r3d100012845","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001606","name":"SciCrunch:RRID:SCR_001606","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dknet.org/about/resource?form=Resource\u0026rel=1\u0026resource_suggestion","type":"not applicable","notes":"Data cannot be directly submitted, but software or database links can be added in dkNET Tool Resource Report, using \"suggest a resource\" via SciCrunch Registry."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000675","bsg-d000675"],"name":"FAIRsharing record for: NIDDK Information Network","abbreviation":"dkNET","url":"https://fairsharing.org/10.25504/FAIRsharing.1mapgk","doi":"10.25504/FAIRsharing.1mapgk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NIDDK Information Network provides access to large pools of data relevant to the mission of NIDDK. The dkNET portal contains information about research resources such as antibodies, vectors and mouse strains, data, protocols, and literature.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10809},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11115},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12716}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science"],"domains":["Expression data","Model organism","Publication","Nuclear receptor","Receptor","Literature curation"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1234,"pubmed_id":26978244,"title":"The FAIR Guiding Principles for scientific data management and stewardship.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.18","authors":"Wilkinson MD,Dumontier M,Aalbersberg IJ,Appleton G,Axton M,Baak A,Blomberg N,Boiten JW,da Silva Santos LB,Bourne PE,Bouwman J,Brookes AJ,Clark T,Crosas M,Dillo I,Dumon O,Edmunds S,Evelo CT,Finkers R,Gonzalez-Beltran A,Gray AJ,Groth P,Goble C,Grethe JS,Heringa J,'t Hoen PA,Hooft R,Kuhn T,Kok R,Kok J,Lusher SJ,Martone ME,Mons A,Packer AL,Persson B,Rocca-Serra P,Roos M,van Schaik R,Sansone SA,Schultes E,Sengstag T,Slater T,Strawn G,Swertz MA,Thompson M,van der Lei J,van Mulligen E,Velterop J,Waagmeester A,Wittenburg P,Wolstencroft K,Zhao J,Mons B","journal":"Sci Data","doi":"10.1038/sdata.2016.18","created_at":"2021-09-30T08:24:37.674Z","updated_at":"2021-09-30T08:24:37.674Z"},{"id":1235,"pubmed_id":26730820,"title":"Resource Disambiguator for the Web: Extracting Biomedical Resources and Their Citations from the Scientific Literature.","year":2016,"url":"http://doi.org/10.1371/journal.pone.0146300","authors":"Ozyurt IB,Grethe JS,Martone ME,Bandrowski AE","journal":"PLoS One","doi":"10.1371/journal.pone.0146300","created_at":"2021-09-30T08:24:37.783Z","updated_at":"2021-09-30T08:24:37.783Z"},{"id":2626,"pubmed_id":26393351,"title":"The NIDDK Information Network: A Community Portal for Finding Data, Materials, and Tools for Researchers Studying Diabetes, Digestive, and Kidney Diseases.","year":2015,"url":"http://doi.org/10.1371/journal.pone.0136206","authors":"Whetzel PL,Grethe JS,Banks DE,Martone ME","journal":"PLoS One","doi":"10.1371/journal.pone.0136206","created_at":"2021-09-30T08:27:22.428Z","updated_at":"2021-09-30T08:27:22.428Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1712,"relation":"undefined"},{"licence_name":"dkNET - SciCrunch Privacy Policy","licence_id":247,"licence_url":"https://dknet.org/page/privacy","link_id":1711,"relation":"undefined"}],"grants":[{"id":1963,"fairsharing_record_id":2201,"organisation_id":3033,"relation":"maintains","created_at":"2021-09-30T09:25:26.696Z","updated_at":"2021-09-30T09:25:26.696Z","grant_id":null,"is_lead":true,"saved_state":{"id":3033,"name":"University of California San Diego, CA, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1964,"fairsharing_record_id":2201,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:25:26.727Z","updated_at":"2021-09-30T09:29:05.535Z","grant_id":89,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"U24DK097771","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2202","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T19:59:03.000Z","updated_at":"2023-12-15T10:32:29.676Z","metadata":{"doi":"10.25504/FAIRsharing.ejeqy","name":"Human Connectome Project","status":"ready","homepage":"http://www.humanconnectome.org","identifier":2202,"description":"The Human Connectome Project (HCP) houses and distributes public connectome study data for a series of studies that focus on the connections within the human brain.","abbreviation":"HCP","data_curation":{"type":"none"},"support_links":[{"url":"https://www.humanconnectome.org/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://www.humanconnectome.org/tutorials","name":"Tutorials","type":"Help documentation"},{"url":"https://groups.google.com/a/humanconnectome.org/d/forum/hcp-announce","name":"HCP Announce","type":"Mailing list"},{"url":"https://wiki.humanconnectome.org/","name":"HCP Wiki","type":"Help documentation"},{"url":"https://www.humanconnectome.org/about-ccf","name":"CCF Overview","type":"Help documentation"},{"url":"https://twitter.com/HumanConnectome","name":"@HumanConnectome","type":"Twitter"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"https://www.humanconnectome.org/software/connectome-workbench","name":"Connectome Workbench 1.0"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000676","bsg-d000676"],"name":"FAIRsharing record for: Human Connectome Project","abbreviation":"HCP","url":"https://fairsharing.org/10.25504/FAIRsharing.ejeqy","doi":"10.25504/FAIRsharing.ejeqy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Connectome Project (HCP) houses and distributes public connectome study data for a series of studies that focus on the connections within the human brain.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11116}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Brain","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["Germany","Italy","Netherlands","United Kingdom","United States"],"publications":[{"id":2233,"pubmed_id":21743807,"title":"Informatics and data mining tools and strategies for the human connectome project","year":2011,"url":"http://doi.org/10.3389/fninf.2011.00004","authors":"Marcus DS, Harwell J, Olsen T, Hodge M, Glasser MF, Prior F, Jenkinson M, Laumann T, Curtiss SW, Van Essen DC","journal":"Front Neuroinform","doi":"10.3389/fninf.2011.00004","created_at":"2021-09-30T08:26:31.642Z","updated_at":"2021-09-30T08:26:31.642Z"},{"id":2677,"pubmed_id":22366334,"title":"The Human Connectome Project: a data acquisition perspective.","year":2012,"url":"http://doi.org/10.1016/j.neuroimage.2012.02.018","authors":"Van Essen DC, Ugurbil K, Auerbach E, Barch D, Behrens TE, et al.","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2012.02.018","created_at":"2021-09-30T08:27:28.693Z","updated_at":"2021-09-30T08:27:28.693Z"},{"id":2678,"pubmed_id":25934470,"title":"ConnectomeDB - Sharing human brain connectivity data","year":2015,"url":"http://doi.org/S1053-8119(15)00346-8","authors":"Hodge MR, Horton W, Brown T, Herrick R, Olsen T, Hileman ME, McKay M, Archie KA, Cler E, Harms MP, Burgess GC, Glasser MF, Elam JS, Curtiss SW, Barch DM, Oostenveld R, Larson-Prior LJ, Ugurbil K, Van Essen DC, Marcus DS","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2015.04.046","created_at":"2021-09-30T08:27:28.863Z","updated_at":"2021-09-30T08:27:28.863Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":2141,"relation":"undefined"},{"licence_name":"HCP Data Use Terms","licence_id":382,"licence_url":"https://www.humanconnectome.org/study/hcp-young-adult/data-use-terms","link_id":2142,"relation":"undefined"}],"grants":[{"id":1967,"fairsharing_record_id":2202,"organisation_id":3097,"relation":"maintains","created_at":"2021-09-30T09:25:26.804Z","updated_at":"2021-09-30T09:25:26.804Z","grant_id":null,"is_lead":false,"saved_state":{"id":3097,"name":"University of Minnesota, Minneapolis, MN 55455, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1970,"fairsharing_record_id":2202,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:27.107Z","updated_at":"2021-09-30T09:25:27.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1965,"fairsharing_record_id":2202,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:26.751Z","updated_at":"2021-09-30T09:30:30.462Z","grant_id":740,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"1U54MH091657-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1966,"fairsharing_record_id":2202,"organisation_id":3221,"relation":"maintains","created_at":"2021-09-30T09:25:26.776Z","updated_at":"2021-09-30T09:25:26.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":3221,"name":"Washington University in St Louis, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1968,"fairsharing_record_id":2202,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:25:27.014Z","updated_at":"2021-09-30T09:25:27.014Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1969,"fairsharing_record_id":2202,"organisation_id":2398,"relation":"maintains","created_at":"2021-09-30T09:25:27.066Z","updated_at":"2021-09-30T09:25:27.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":2398,"name":"Radboud University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2203","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T20:24:45.000Z","updated_at":"2024-04-29T08:41:34.848Z","metadata":{"doi":"10.25504/FAIRsharing.tamp4p","name":"Parkinson's Progression Markers Initiative","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"webmaster@loni.usc.edu"}],"homepage":"http://www.ppmi-info.org","identifier":2203,"description":"PPMI is an observational clinical study to verify progression markers in Parkinson’s disease. The study is designed to establish a comprehensive set of clinical, imaging and biosample data that will be used to define biomarkers of PD progression. Once these biomarkers are defined, they can be used in therapeutic studies. The clinical, imaging and biologic data are accessible to researchers in real time through the website.","abbreviation":"PPMI","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.ppmi-info.org/contact-us/","type":"Contact form"},{"url":"http://www.ppmi-info.org/access-data-specimens/data-faq/","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","data_access_condition":{"url":"https://www.ppmi-info.org/access-data-specimens/download-data","type":"controlled"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000677","bsg-d000677"],"name":"FAIRsharing record for: Parkinson's Progression Markers Initiative","abbreviation":"PPMI","url":"https://fairsharing.org/10.25504/FAIRsharing.tamp4p","doi":"10.25504/FAIRsharing.tamp4p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PPMI is an observational clinical study to verify progression markers in Parkinson’s disease. The study is designed to establish a comprehensive set of clinical, imaging and biosample data that will be used to define biomarkers of PD progression. Once these biomarkers are defined, they can be used in therapeutic studies. The clinical, imaging and biologic data are accessible to researchers in real time through the website.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11117}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Medical imaging","Biomarker","Parkinson's disease","Imaging","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":11,"pubmed_id":null,"title":"The Parkinson Progression Marker Initiative (PPMI).","year":2011,"url":"http://doi.org/10.1016/j.pneurobio.2011.09.005","authors":"Parkinson Progression Marker Initiative","journal":"Prog Neurobiol.","doi":"10.1016/j.pneurobio.2011.09.005","created_at":"2021-09-30T08:22:21.698Z","updated_at":"2021-09-30T08:22:21.698Z"},{"id":64,"pubmed_id":26268663,"title":"Baseline genetic associations in the Parkinson's Progression Markers Initiative (PPMI).","year":2015,"url":"http://doi.org/10.1002/mds.26374","authors":"Nalls MA,Keller MF,Hernandez DG,Chen L,Stone DJ,Singleton AB","journal":"Mov Disord","doi":"10.1002/mds.26374","created_at":"2021-09-30T08:22:27.190Z","updated_at":"2021-09-30T08:22:27.190Z"}],"licence_links":[{"licence_name":"PPMI Data Use Agreement","licence_id":677,"licence_url":"http://www.ppmi-info.org/documents/ppmi-data-use-agreement.pdf","link_id":866,"relation":"undefined"}],"grants":[{"id":1971,"fairsharing_record_id":2203,"organisation_id":1679,"relation":"maintains","created_at":"2021-09-30T09:25:27.149Z","updated_at":"2021-09-30T09:25:27.149Z","grant_id":null,"is_lead":false,"saved_state":{"id":1679,"name":"Laboratory of Neuro Imaging (LONI), University of Southern California, Los Angeles, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1972,"fairsharing_record_id":2203,"organisation_id":2801,"relation":"funds","created_at":"2021-09-30T09:25:27.186Z","updated_at":"2021-09-30T09:25:27.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":2801,"name":"The Michael J Fox Foundation for Parkinson's Research","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2204","type":"fairsharing_records","attributes":{"created_at":"2015-05-05T15:02:47.000Z","updated_at":"2023-06-23T10:58:15.806Z","metadata":{"doi":"10.25504/FAIRsharing.s5zmbp","name":"Catalogue of Somatic Mutations in Cancer","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"cosmic@sanger.ac.uk"}],"homepage":"http://cancer.sanger.ac.uk","citations":[{"doi":"10.1093/nar/gky1015","pubmed_id":30371878,"publication_id":1822}],"identifier":2204,"description":"The Catalogue of Somatic Mutations in Cancer (COSMIC) is a database of manually-curated somatic mutation information relating to human cancers. The COSMIC database combines manually-curated data and genome-wide screen data.","abbreviation":"COSMIC","data_curation":{"url":"https://cancer.sanger.ac.uk/cosmic/curation","type":"manual","notes":"Data is entered and curated by a professional curation team."},"support_links":[{"url":"https://cosmic-blog.sanger.ac.uk/","name":"COSMIC News","type":"Blog/News"},{"url":"https://cancer.sanger.ac.uk/cosmic/help/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://cancer.sanger.ac.uk/cosmic/help/tutorials","name":"Tutorials","type":"Help documentation"},{"url":"https://cancer.sanger.ac.uk/cosmic/help","name":"Help","type":"Help documentation"},{"url":"https://cancer.sanger.ac.uk/cosmic/register","name":"COSMIC Mailing List","type":"Mailing list"},{"url":"https://cancer.sanger.ac.uk/cosmic/curation","name":"About COSMIC Curation","type":"Help documentation"},{"url":"https://cancer.sanger.ac.uk/cosmic/analyses","name":"Annotation and Analysis Release Pipeline","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://cancer.sanger.ac.uk/cosmic/submissions","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000678","bsg-d000678"],"name":"FAIRsharing record for: Catalogue of Somatic Mutations in Cancer","abbreviation":"COSMIC","url":"https://fairsharing.org/10.25504/FAIRsharing.s5zmbp","doi":"10.25504/FAIRsharing.s5zmbp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Catalogue of Somatic Mutations in Cancer (COSMIC) is a database of manually-curated somatic mutation information relating to human cancers. The COSMIC database combines manually-curated data and genome-wide screen data.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11539}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genetics","Biomedical Science"],"domains":["Genome annotation","Cancer","Somatic mutation","Tumor"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":60,"pubmed_id":25355519,"title":"COSMIC: exploring the world's knowledge of somatic mutations in human cancer.","year":2014,"url":"http://doi.org/10.1093/nar/gku1075","authors":"Forbes SA,Beare D,Gunasekaran P,Leung K,Bindal N,Boutselakis H,Ding M,Bamford S,Cole C,Ward S,Kok CY,Jia M,De T,Teague JW,Stratton MR,McDermott U,Campbell PJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1075","created_at":"2021-09-30T08:22:26.769Z","updated_at":"2021-09-30T11:28:42.033Z"},{"id":66,"pubmed_id":20952405,"title":"COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer.","year":2010,"url":"http://doi.org/10.1093/nar/gkq929","authors":"Forbes SA,Bindal N,Bamford S,Cole C,Kok CY,Beare D,Jia M,Shepherd R,Leung K,Menzies A,Teague JW,Campbell PJ,Stratton MR,Futreal PA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq929","created_at":"2021-09-30T08:22:27.377Z","updated_at":"2021-09-30T11:28:42.276Z"},{"id":1798,"pubmed_id":15188009,"title":"The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website.","year":2004,"url":"http://doi.org/10.1038/sj.bjc.6601894","authors":"Bamford S,Dawson E,Forbes S,Clements J,Pettett R,Dogan A,Flanagan A,Teague J,Futreal PA,Stratton MR,Wooster R","journal":"Br J Cancer","doi":"10.1038/sj.bjc.6601894","created_at":"2021-09-30T08:25:41.863Z","updated_at":"2021-09-30T08:25:41.863Z"},{"id":1822,"pubmed_id":30371878,"title":"COSMIC: the Catalogue Of Somatic Mutations In Cancer.","year":2018,"url":"http://doi.org/10.1093/nar/gky1015","authors":"Tate JG,Bamford S,Jubb HC,Sondka Z,Beare DM,Bindal N,Boutselakis H,Cole CG,Creatore C,Dawson E,Fish P,Harsha B,Hathaway C,Jupe SC,Kok CY,Noble K,Ponting L,Ramshaw CC,Rye CE,Speedy HE,Stefancsik R,Thompson SL,Wang S,Ward S,Campbell PJ,Forbes SA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1015","created_at":"2021-09-30T08:25:44.669Z","updated_at":"2021-09-30T11:29:21.278Z"}],"licence_links":[{"licence_name":"COSMIC Terms of Use and Licence","licence_id":151,"licence_url":"https://cancer.sanger.ac.uk/cosmic/license","link_id":2434,"relation":"undefined"}],"grants":[{"id":1974,"fairsharing_record_id":2204,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:27.243Z","updated_at":"2021-09-30T09:25:27.243Z","grant_id":null,"is_lead":true,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1973,"fairsharing_record_id":2204,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:27.219Z","updated_at":"2021-09-30T09:32:08.536Z","grant_id":1487,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"077012/Z/05/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2213","type":"fairsharing_records","attributes":{"created_at":"2015-07-09T12:06:07.000Z","updated_at":"2022-07-20T12:17:45.442Z","metadata":{"doi":"10.25504/FAIRsharing.af3j4h","name":"Research Domain Criteria Database","status":"deprecated","contacts":[{"contact_email":"rdocdbhelp@mail.nih.gov"}],"homepage":"http://rdocdb.nimh.nih.gov","identifier":2213,"description":"RDoCdb is an informatics platform for the sharing of human subjects data related to Mental Health research. This database may be used to plan for data submission, share your data, query data that is already shared, or to share your results related to a publication or finding. RDoCdb is is a part of the NIMH Data Archive (NDA), powered by the National Database for Autism Research (NDAR) infrastructure.","abbreviation":"RDoCdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://rdocdb.nimh.nih.gov/contact-us/","type":"Contact form"}],"data_versioning":"not found","deprecation_date":"2020-10-25","deprecation_reason":"This resource has been merged with the NIMH Data Archive.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000687","bsg-d000687"],"name":"FAIRsharing record for: Research Domain Criteria Database","abbreviation":"RDoCdb","url":"https://fairsharing.org/10.25504/FAIRsharing.af3j4h","doi":"10.25504/FAIRsharing.af3j4h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RDoCdb is an informatics platform for the sharing of human subjects data related to Mental Health research. This database may be used to plan for data submission, share your data, query data that is already shared, or to share your results related to a publication or finding. RDoCdb is is a part of the NIMH Data Archive (NDA), powered by the National Database for Autism Research (NDAR) infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10993},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12721}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Biomedical Science","Preclinical Studies"],"domains":["Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"RDoCdb Disclaimer","licence_id":699,"licence_url":"https://data-archive.nimh.nih.gov/rdocdb/footer/disclaimer.html","link_id":870,"relation":"undefined"},{"licence_name":"RDoCdb Privacy Policy","licence_id":700,"licence_url":"https://data-archive.nimh.nih.gov/rdocdb/footer/privacy-policy.html","link_id":869,"relation":"undefined"}],"grants":[{"id":2009,"fairsharing_record_id":2213,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:25:28.585Z","updated_at":"2021-09-30T09:25:28.585Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2010,"fairsharing_record_id":2213,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:28.625Z","updated_at":"2021-09-30T09:25:28.625Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2214","type":"fairsharing_records","attributes":{"created_at":"2015-07-09T12:26:16.000Z","updated_at":"2022-07-20T13:19:46.759Z","metadata":{"doi":"10.25504/FAIRsharing.1h7t5t","name":"National Database for Clinical Trials related to Mental Illness","status":"deprecated","contacts":[{"contact_name":"Help email","contact_email":"NDAHelp@mail.nih.go"}],"homepage":"https://data-archive.nimh.nih.gov/ndct/","identifier":2214,"description":"NDCT is an informatics platform for the sharing of clinical trial data funded by the National Institute of Mental Health. NDCT is a part of the NIMH Data Archive (NDA), powered by the NDAR (National Database for Autism Research) infrastructure.","abbreviation":"NDCT","data_curation":{"type":"not found"},"support_links":[{"url":"http://ndct.nimh.nih.gov/contact-us/","type":"Contact form"}],"year_creation":2014,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012481","name":"re3data:r3d100012481","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013795","name":"SciCrunch:RRID:SCR_013795","portal":"SciCrunch"}],"deprecation_date":"2020-10-25","deprecation_reason":"This resource has been merged with the NIMH Data Archive.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000688","bsg-d000688"],"name":"FAIRsharing record for: National Database for Clinical Trials related to Mental Illness","abbreviation":"NDCT","url":"https://fairsharing.org/10.25504/FAIRsharing.1h7t5t","doi":"10.25504/FAIRsharing.1h7t5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NDCT is an informatics platform for the sharing of clinical trial data funded by the National Institute of Mental Health. NDCT is a part of the NIMH Data Archive (NDA), powered by the NDAR (National Database for Autism Research) infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10994},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12722}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Biomedical Science","Preclinical Studies"],"domains":["Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2011,"fairsharing_record_id":2214,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:25:28.666Z","updated_at":"2021-09-30T09:25:28.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2012,"fairsharing_record_id":2214,"organisation_id":2022,"relation":"maintains","created_at":"2021-09-30T09:25:28.722Z","updated_at":"2021-09-30T09:25:28.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2215","type":"fairsharing_records","attributes":{"created_at":"2015-07-09T12:46:56.000Z","updated_at":"2021-12-08T09:43:12.706Z","metadata":{"doi":"10.25504/FAIRsharing.nv3g3d","name":"EpiFactors","status":"deprecated","contacts":[{"contact_name":"Yulia Medvedeva","contact_email":"ju.medvedeva@gmail.com"}],"homepage":"http://www.epifactors.autosome.ru/","citations":[],"identifier":2215,"description":"EpiFactors is a web-accessible database that provides broad information about human proteins and complexes involved in epigenetic regulation. It also lists corresponding genes and their expression levels in several samples, in particular 458 human primary cell samples, 255 different cancer cell lines and 134 human post-mortem tissues. Each protein and complex entry has been provided with links to external public resources.","abbreviation":"EpiFactors","data_curation":{"type":"not found"},"support_links":[{"url":"http://epifactors.autosome.ru/description","type":"Help documentation"},{"url":"http://epifactors.autosome.ru/description/queries","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-12-08","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000689","bsg-d000689"],"name":"FAIRsharing record for: EpiFactors","abbreviation":"EpiFactors","url":"https://fairsharing.org/10.25504/FAIRsharing.nv3g3d","doi":"10.25504/FAIRsharing.nv3g3d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EpiFactors is a web-accessible database that provides broad information about human proteins and complexes involved in epigenetic regulation. It also lists corresponding genes and their expression levels in several samples, in particular 458 human primary cell samples, 255 different cancer cell lines and 134 human post-mortem tissues. Each protein and complex entry has been provided with links to external public resources.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12723}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenetics","Life Science"],"domains":["Expression data","Cell","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan","Norway","Russia","Spain","Sweden"],"publications":[{"id":1942,"pubmed_id":26153137,"title":"EpiFactors: a comprehensive database of human epigenetic factors and complexes.","year":2015,"url":"http://doi.org/10.1093/database/bav067","authors":"Medvedeva YA,Lennartsson A,Ehsani R,Kulakovskiy IV,Vorontsov IE,Panahandeh P,Khimulya G,Kasukawa T,Drablos F","journal":"Database (Oxford)","doi":"10.1093/database/bav067","created_at":"2021-09-30T08:25:58.547Z","updated_at":"2021-09-30T08:25:58.547Z"}],"licence_links":[],"grants":[{"id":8170,"fairsharing_record_id":2215,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:31:19.297Z","updated_at":"2021-09-30T09:31:19.335Z","grant_id":1118,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"14-04-00180","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8309,"fairsharing_record_id":2215,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:32:01.258Z","updated_at":"2021-09-30T09:32:01.304Z","grant_id":1431,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"FPDI-2013-18088","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2014,"fairsharing_record_id":2215,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:25:28.780Z","updated_at":"2021-09-30T09:29:17.102Z","grant_id":176,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","grant":"BFU2011-30246","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2013,"fairsharing_record_id":2215,"organisation_id":2474,"relation":"funds","created_at":"2021-09-30T09:25:28.753Z","updated_at":"2021-09-30T09:31:06.533Z","grant_id":1020,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"15-34-20423","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2216","type":"fairsharing_records","attributes":{"created_at":"2015-07-21T14:16:49.000Z","updated_at":"2022-07-20T12:21:09.464Z","metadata":{"doi":"10.25504/FAIRsharing.k9ptv7","name":"PlasmID","status":"deprecated","contacts":[{"contact_name":"PlasmID Help","contact_email":"plasmidhelp@hms.harvard.edu"}],"homepage":"https://plasmid.med.harvard.edu/PLASMID/Home.xhtml","citations":[],"identifier":2216,"description":"The PlasmID Repository provides researchers with inexpensive sequencing and plasmid services, holding ~350,000 plasmids, including most human cDNAs as well as shRNA libraries. PlasmID was added to the DNA Resource Core in the spring of 2004 to reduce the burden on individual labs to store, maintain and distribute plasmid clones and supporting information.","abbreviation":"PlasmID","data_curation":{"type":"not found"},"support_links":[{"url":"https://plasmid.med.harvard.edu/PLASMID/Pricing.jsp","name":"PlasmID Pricing","type":"Help documentation"},{"url":"https://plasmid.med.harvard.edu/PLASMID/cloningstrategies.jsp","name":"Learn about PlasmID","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012516","name":"re3data:r3d100012516","portal":"re3data"}],"deprecation_date":"2021-03-18","deprecation_reason":"In August 2019, PlasmID suspended plasmid distribution from the collection. Since that time, the website and its contents have been shut down.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000690","bsg-d000690"],"name":"FAIRsharing record for: PlasmID","abbreviation":"PlasmID","url":"https://fairsharing.org/10.25504/FAIRsharing.k9ptv7","doi":"10.25504/FAIRsharing.k9ptv7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PlasmID Repository provides researchers with inexpensive sequencing and plasmid services, holding ~350,000 plasmids, including most human cDNAs as well as shRNA libraries. PlasmID was added to the DNA Resource Core in the spring of 2004 to reduce the burden on individual labs to store, maintain and distribute plasmid clones and supporting information.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10995}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Biology"],"domains":["Deoxyribonucleic acid","RNA interference","Mutation analysis","Plasmid","Cloning plasmid"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Expression plasmid"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"PlasmID Terms and Conditions of Use","licence_id":672,"licence_url":"https://plasmid.med.harvard.edu/PLASMID/TermAndCondition.jsp","link_id":624,"relation":"undefined"}],"grants":[{"id":2016,"fairsharing_record_id":2216,"organisation_id":1768,"relation":"maintains","created_at":"2021-09-30T09:25:28.857Z","updated_at":"2021-09-30T09:25:28.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":1768,"name":"Massachusetts General Hospital, Boston, MA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2022,"fairsharing_record_id":2216,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:25:29.066Z","updated_at":"2021-09-30T09:25:29.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2018,"fairsharing_record_id":2216,"organisation_id":636,"relation":"maintains","created_at":"2021-09-30T09:25:28.929Z","updated_at":"2021-09-30T09:25:28.929Z","grant_id":null,"is_lead":false,"saved_state":{"id":636,"name":"Dana-Farber Cancer Institute, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2020,"fairsharing_record_id":2216,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:25:28.983Z","updated_at":"2021-09-30T09:25:28.983Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2021,"fairsharing_record_id":2216,"organisation_id":207,"relation":"maintains","created_at":"2021-09-30T09:25:29.025Z","updated_at":"2021-09-30T09:25:29.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":207,"name":"Beth Israel Deaconess Medical Center, Boston, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2019,"fairsharing_record_id":2216,"organisation_id":300,"relation":"maintains","created_at":"2021-09-30T09:25:28.952Z","updated_at":"2021-09-30T09:25:28.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":300,"name":"Boston Children's Hospital, MA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2017,"fairsharing_record_id":2216,"organisation_id":1955,"relation":"maintains","created_at":"2021-09-30T09:25:28.896Z","updated_at":"2021-09-30T09:25:28.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2199","type":"fairsharing_records","attributes":{"created_at":"2015-04-29T18:55:14.000Z","updated_at":"2021-11-24T13:18:14.841Z","metadata":{"doi":"10.25504/FAIRsharing.an0y9t","name":"NanoMaterial Registry","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"nanoregistry@rti.org"}],"homepage":"https://nanohub.org/groups/nanomaterialregistry","identifier":2199,"description":"The Nanomaterial Registry is a central registry and growing repository of publicly-available nanomaterial data which are fully curated based upon a set of Minimal Information about Nanomaterials (MIAN). Each nanomaterial curated into the Registry provides the following information: Physico-characteristics – values, protocols, metadata; Information on the related biological and/or environmental studies; Instance of Characterization information – preparation, synthesis, and time frame leading up to the nanomaterial characterization; and Validation back to the Data Source, such as scholarly article, manufacturer’s website. As both the original homepage (http://www.nanomaterialregistry.org/) and data browser are not functional, we have marked this record as Uncertain. Please get in touch with us if you have any information on this resource.","abbreviation":"Nano Registry","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NanoRegistry","name":"@NanoRegistry","type":"Twitter"}],"year_creation":2012,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000673","bsg-d000673"],"name":"FAIRsharing record for: NanoMaterial Registry","abbreviation":"Nano Registry","url":"https://fairsharing.org/10.25504/FAIRsharing.an0y9t","doi":"10.25504/FAIRsharing.an0y9t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Nanomaterial Registry is a central registry and growing repository of publicly-available nanomaterial data which are fully curated based upon a set of Minimal Information about Nanomaterials (MIAN). Each nanomaterial curated into the Registry provides the following information: Physico-characteristics – values, protocols, metadata; Information on the related biological and/or environmental studies; Instance of Characterization information – preparation, synthesis, and time frame leading up to the nanomaterial characterization; and Validation back to the Data Source, such as scholarly article, manufacturer’s website. As both the original homepage (http://www.nanomaterialregistry.org/) and data browser are not functional, we have marked this record as Uncertain. Please get in touch with us if you have any information on this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11113}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Nanotechnology","Materials Science"],"domains":["Curated information"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":730,"pubmed_id":null,"title":"Nanomaterial registry: database that captures the minimal information about nanomaterial physico-chemical characteristics","year":2014,"url":"http://doi.org/10.1007/s11051-013-2219-8","authors":"Mills, Karmann C. and Murry, Damaris and Guzan, Kimberly A. and Ostraat, Michele L.","journal":"Journal of Nanoparticle Research","doi":"10.1007/s11051-013-2219-8","created_at":"2021-09-30T08:23:40.446Z","updated_at":"2021-09-30T08:23:40.446Z"},{"id":731,"pubmed_id":24098075,"title":"The Nanomaterial Registry: facilitating the sharing and analysis of data in the diverse nanomaterial community","year":2013,"url":"http://doi.org/10.2147/IJN.S40722","authors":"Michele L Ostraat, Karmann C Mills, Kimberly A Guzan, and Damaris Murry","journal":"Int J Nanomedicine","doi":"10.2147/IJN.S40722","created_at":"2021-09-30T08:23:40.545Z","updated_at":"2021-09-30T08:23:40.545Z"}],"licence_links":[],"grants":[{"id":1959,"fairsharing_record_id":2199,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:26.536Z","updated_at":"2021-09-30T09:25:26.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1958,"fairsharing_record_id":2199,"organisation_id":2016,"relation":"funds","created_at":"2021-09-30T09:25:26.498Z","updated_at":"2021-09-30T09:25:26.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":2016,"name":"National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), North Carolina, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1960,"fairsharing_record_id":2199,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:26.573Z","updated_at":"2021-09-30T09:25:26.573Z","grant_id":null,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1961,"fairsharing_record_id":2199,"organisation_id":2469,"relation":"maintains","created_at":"2021-09-30T09:25:26.615Z","updated_at":"2021-09-30T09:25:26.615Z","grant_id":null,"is_lead":true,"saved_state":{"id":2469,"name":"RTI International","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2212","type":"fairsharing_records","attributes":{"created_at":"2015-07-05T22:26:53.000Z","updated_at":"2022-07-20T12:25:47.196Z","metadata":{"doi":"10.25504/FAIRsharing.73reht","name":"Bio-Mirror","status":"deprecated","contacts":[{"contact_name":"Don Gilbert","contact_email":"gilbertd@indiana.edu","contact_orcid":"0000-0002-6646-7274"}],"homepage":"http://www.bio-mirror.net/","identifier":2212,"description":"A world bioinformatic public service for high-speed access to up-to-date DNA \u0026 protein biological sequence databanks.","abbreviation":"Bio-Mirror","data_curation":{"type":"not found"},"year_creation":1998,"data_versioning":"not found","deprecation_date":"2021-7-21","deprecation_reason":"This resource is no longer in active development.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000686","bsg-d000686"],"name":"FAIRsharing record for: Bio-Mirror","abbreviation":"Bio-Mirror","url":"https://fairsharing.org/10.25504/FAIRsharing.73reht","doi":"10.25504/FAIRsharing.73reht","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A world bioinformatic public service for high-speed access to up-to-date DNA \u0026 protein biological sequence databanks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":786,"pubmed_id":15059839,"title":"Bio-Mirror project for public bio-data distribution","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth219","authors":"Gilbert DG, Ugawa Y, Buchhorn M, Wee TT, Mizushima A, Kim H, Chon K, Weon S, Ma J, Ichiyanagi Y, Liou DM, Keretho S, Napis S.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth219","created_at":"2021-09-30T08:23:46.645Z","updated_at":"2021-09-30T08:23:46.645Z"}],"licence_links":[],"grants":[{"id":2005,"fairsharing_record_id":2212,"organisation_id":3069,"relation":"maintains","created_at":"2021-09-30T09:25:28.445Z","updated_at":"2021-09-30T09:25:28.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":3069,"name":"University of Indiana, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2004,"fairsharing_record_id":2212,"organisation_id":118,"relation":"funds","created_at":"2021-09-30T09:25:28.412Z","updated_at":"2021-09-30T09:25:28.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":118,"name":"Asian Pacific Bioinformatics Network (APBIONET)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2006,"fairsharing_record_id":2212,"organisation_id":151,"relation":"funds","created_at":"2021-09-30T09:25:28.491Z","updated_at":"2021-09-30T09:25:28.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":151,"name":"Australia's Academic and Research Network (AARNet), Australia","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2007,"fairsharing_record_id":2212,"organisation_id":1427,"relation":"funds","created_at":"2021-09-30T09:25:28.530Z","updated_at":"2021-09-30T09:25:28.530Z","grant_id":null,"is_lead":false,"saved_state":{"id":1427,"name":"Institute of Microbiology of the Chinese Academy of Sciences (IMCAS), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2008,"fairsharing_record_id":2212,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:28.561Z","updated_at":"2021-09-30T09:25:28.561Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2209","type":"fairsharing_records","attributes":{"created_at":"2015-06-04T19:32:36.000Z","updated_at":"2023-12-15T10:28:25.076Z","metadata":{"doi":"10.25504/FAIRsharing.1hqd55","name":"Structural Biology Data Grid","status":"ready","contacts":[{"contact_name":"Piotr Sliz","contact_email":"sliz@hkl.hms.harvard.edu","contact_orcid":"0000-0002-6522-0835"}],"homepage":"http://data.sbgrid.org","citations":[],"identifier":2209,"description":"The Structural Biology Data Grid (SBGrid-DG) community-driven repository to preserve primary experimental datasets that support scientific publications. The SBGrid Data Bank is an open source research data management system enabling Structural Biologists to preserve x-ray diffraction data and to make it accessible to the broad research community.","abbreviation":"SBGrid-DG","data_curation":{"url":"https://data.sbgrid.org/help/deposit/","type":"none"},"support_links":[{"url":"https://data.sbgrid.org/contact/","type":"Contact form"},{"url":"data@sbgrid.org","name":"General Contact","type":"Support email"},{"url":"https://data.sbgrid.org/faq/","name":"General FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/SBGrid","name":"@SBGrid","type":"Twitter"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011601","name":"re3data:r3d100011601","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003511","name":"SciCrunch:RRID:SCR_003511","portal":"SciCrunch"}],"data_access_condition":{"url":"https://data.sbgrid.org/help/download/","type":"open","notes":"data download of each dataset can be done thorugh rsync"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://data.sbgrid.org/help/deposit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000683","bsg-d000683"],"name":"FAIRsharing record for: Structural Biology Data Grid","abbreviation":"SBGrid-DG","url":"https://fairsharing.org/10.25504/FAIRsharing.1hqd55","doi":"10.25504/FAIRsharing.1hqd55","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Structural Biology Data Grid (SBGrid-DG) community-driven repository to preserve primary experimental datasets that support scientific publications. The SBGrid Data Bank is an open source research data management system enabling Structural Biologists to preserve x-ray diffraction data and to make it accessible to the broad research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","X-ray diffraction","Light microscopy","Imaging","Light-sheet illumination","Centrally registered identifier","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["MicroED"],"countries":["China","Sweden","United States","Uruguay"],"publications":[{"id":746,"pubmed_id":24040512,"title":"Collaboration gets the most out of software.","year":2013,"url":"http://doi.org/10.7554/eLife.01456","authors":"Morin A,Eisenbraun B,Key J,Sanschagrin PC,Timony MA,Ottaviano M,Sliz P","journal":"Elife","doi":"10.7554/eLife.01456","created_at":"2021-09-30T08:23:42.153Z","updated_at":"2021-09-30T08:23:42.153Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1268,"relation":"undefined"},{"licence_name":"SBGrid Data Bank: Policies, Terms of Use and Guidelines","licence_id":726,"licence_url":"https://data.sbgrid.org/policies/","link_id":1269,"relation":"undefined"}],"grants":[{"id":1996,"fairsharing_record_id":2209,"organisation_id":2496,"relation":"maintains","created_at":"2021-09-30T09:25:28.096Z","updated_at":"2021-09-30T09:25:28.096Z","grant_id":null,"is_lead":true,"saved_state":{"id":2496,"name":"SBGrid Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":1999,"fairsharing_record_id":2209,"organisation_id":1213,"relation":"maintains","created_at":"2021-09-30T09:25:28.212Z","updated_at":"2021-09-30T09:25:28.212Z","grant_id":null,"is_lead":false,"saved_state":{"id":1213,"name":"Harvard Medical School, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1997,"fairsharing_record_id":2209,"organisation_id":2788,"relation":"maintains","created_at":"2021-09-30T09:25:28.132Z","updated_at":"2021-09-30T09:25:28.132Z","grant_id":null,"is_lead":false,"saved_state":{"id":2788,"name":"The Institute for Quantitative Social Service, Harvard University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1998,"fairsharing_record_id":2209,"organisation_id":1706,"relation":"funds","created_at":"2021-09-30T09:25:28.174Z","updated_at":"2021-09-30T09:25:28.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":1706,"name":"Leona M. and Harry B. Helmsley Charitable Trust, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBajhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e2a3a1997f0e7bf02788fc6919d417918ba123ad/logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2205","type":"fairsharing_records","attributes":{"created_at":"2015-05-07T21:54:42.000Z","updated_at":"2023-06-23T15:53:06.524Z","metadata":{"doi":"10.25504/FAIRsharing.djyk2c","name":"MoonProt","status":"ready","contacts":[{"contact_name":"Constance Jeffery","contact_email":"cjeffery@uic.edu","contact_orcid":"0000-0002-2147-3638"}],"homepage":"http://www.moonlightingproteins.org","identifier":2205,"description":"MoonProt Database is a manually curated, searchable, internet-based resource with information about the over 200 proteins that have been experimentally verified to be moonlighting proteins. Moonlighting proteins comprise a class of multifunctional proteins in which a single polypeptide chain performs multiple biochemical functions that are not due to gene fusions, multiple RNA splice variants or pleiotropic effects. The availability of this organized information provides a more complete picture of what is currently known about moonlighting proteins. The database will also aid researchers in other fields, including determining the functions of genes identified in genome sequencing projects, interpreting data from proteomics projects and annotating protein sequence and structural databases. In addition, information about the structures and functions of moonlighting proteins can be helpful in understanding how novel protein functional sites evolved on an ancient protein scaffold, which can also help in the design of proteins with novel functions.","abbreviation":"MoonProt","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.moonlightingproteins.org/faqs.php","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.moonlightingproteins.org/faqs/","type":"open","notes":"Data can be submitted upon email request."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000679","bsg-d000679"],"name":"FAIRsharing record for: MoonProt","abbreviation":"MoonProt","url":"https://fairsharing.org/10.25504/FAIRsharing.djyk2c","doi":"10.25504/FAIRsharing.djyk2c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MoonProt Database is a manually curated, searchable, internet-based resource with information about the over 200 proteins that have been experimentally verified to be moonlighting proteins. Moonlighting proteins comprise a class of multifunctional proteins in which a single polypeptide chain performs multiple biochemical functions that are not due to gene fusions, multiple RNA splice variants or pleiotropic effects. The availability of this organized information provides a more complete picture of what is currently known about moonlighting proteins. The database will also aid researchers in other fields, including determining the functions of genes identified in genome sequencing projects, interpreting data from proteomics projects and annotating protein sequence and structural databases. In addition, information about the structures and functions of moonlighting proteins can be helpful in understanding how novel protein functional sites evolved on an ancient protein scaffold, which can also help in the design of proteins with novel functions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12717}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Life Science"],"domains":["Protein structure","Protein identification","Function analysis"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1951,"pubmed_id":25324305,"title":"MoonProt: a database for proteins that are known to moonlight.","year":2014,"url":"http://doi.org/10.1093/nar/gku954","authors":"Mani M, Chen C, Amblee V, Liu H, Mathur T, Zwicke G, Zabad S, Patel B, Thakkar J, Jeffery CJ.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku954","created_at":"2021-09-30T08:25:59.557Z","updated_at":"2021-09-30T08:25:59.557Z"}],"licence_links":[],"grants":[{"id":1975,"fairsharing_record_id":2205,"organisation_id":3067,"relation":"maintains","created_at":"2021-09-30T09:25:27.268Z","updated_at":"2021-09-30T09:25:27.268Z","grant_id":null,"is_lead":false,"saved_state":{"id":3067,"name":"University of Illinois at Chicago, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2210","type":"fairsharing_records","attributes":{"created_at":"2015-06-24T15:49:08.000Z","updated_at":"2023-12-15T10:33:11.506Z","metadata":{"doi":"10.25504/FAIRsharing.aqhv1y","name":"NCBI BioProject","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"bioprojecthelp@ncbi.nlm.nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/bioproject/","citations":[{"doi":"10.1093/nar/gkr1163","pubmed_id":22139929,"publication_id":514}],"identifier":2210,"description":"A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. The BioProject database is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms.","abbreviation":"BioProject","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/bioproject/docs/faq/#will-ncbi-apply-further-curation","type":"none"},"support_links":[{"url":"https://www.ncbi.nlm.nih.gov/bioproject/docs/faq/","name":"BioProject FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK54016","name":"NCBI Help Manual: BioProject","type":"Help documentation"},{"url":"https://www.ncbi.nlm.nih.gov/books/NBK169438/","name":"BioProject Overview","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013330","name":"re3data:r3d100013330","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004801","name":"SciCrunch:RRID:SCR_004801","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.ncbi.nlm.nih.gov/bioproject/browse","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://submit.ncbi.nlm.nih.gov/subs/bioproject/","type":"controlled","notes":"Sequence submission at NCBI requires a Log in."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000684","bsg-d000684"],"name":"FAIRsharing record for: NCBI BioProject","abbreviation":"BioProject","url":"https://fairsharing.org/10.25504/FAIRsharing.aqhv1y","doi":"10.25504/FAIRsharing.aqhv1y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A BioProject is a collection of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. The BioProject database is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Metatranscriptomics","Life Science","Transcriptomics"],"domains":["Experimental measurement","Annotation","Genomic assembly","Sequencing","Experimentally determined","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":514,"pubmed_id":22139929,"title":"BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1163","authors":"Barrett T,Clark K,Gevorgyan R,Gorelenkov V,Gribov E,Karsch-Mizrachi I,Kimelman M,Pruitt KD,Resenchuk S,Tatusova T,Yaschenko E,Ostell J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1163","created_at":"2021-09-30T08:23:16.098Z","updated_at":"2021-09-30T11:28:46.975Z"}],"licence_links":[{"licence_name":"NCBI Data Policies and Disclaimer","licence_id":556,"licence_url":"http://www.ncbi.nlm.nih.gov/home/about/policies.shtml","link_id":2066,"relation":"undefined"}],"grants":[{"id":2000,"fairsharing_record_id":2210,"organisation_id":1960,"relation":"maintains","created_at":"2021-09-30T09:25:28.249Z","updated_at":"2021-09-30T09:25:28.249Z","grant_id":null,"is_lead":true,"saved_state":{"id":1960,"name":"National Center for Biotechnology Information (NCBI), Rockville, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2001,"fairsharing_record_id":2210,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:28.291Z","updated_at":"2021-09-30T09:25:28.291Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2249","type":"fairsharing_records","attributes":{"created_at":"2015-12-09T15:29:05.000Z","updated_at":"2024-03-27T22:28:54.047Z","metadata":{"doi":"10.25504/FAIRsharing.tpqndj","name":"ModelArchive","status":"ready","contacts":[{"contact_name":"Torsten Schwede","contact_email":"torsten.schwede@unibas.ch","contact_orcid":"0000-0003-2715-335X"}],"homepage":"https://www.modelarchive.org/","citations":[],"identifier":2249,"description":"ModelArchive is the archive for structural models which are not based on experimental data and complements the PDB archive for experimental structures and PDB-Dev for integrative structures. The ModelArchive is being developed following the \"Workshop on Applications of Protein Models in Biomedical Research\" held at the University of California, San Francisco in July 2008 for applications of protein models in biomedical research. ModelArchive is a repository for depositions of computed models of macromolecular structures which are not based on experimental data. The models can consist of any combination of proteins, RNA, DNA, or carbohydrates and include small molecules bound to them. Deposited models are findable, accessible, interoperable and reusable. Depositions are assigned a DOI to be included in manuscripts for which the model was generated.","abbreviation":null,"data_curation":{"url":"https://www.modelarchive.org/help","type":"manual","notes":"data deposit minimum information"},"support_links":[{"url":"help-modelarchive@unibas.ch","name":"General Contact","type":"Support email"},{"url":"https://www.modelarchive.org/help","name":"Help Documentation","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://matomo.org/","name":"Matomo"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"name":"supported by the SIB - Swiss Institute of Bioinformatics"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://modelarchive.org/account","type":"controlled","notes":"Free registration is required and submitted information is check prior to publication."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000723","bsg-d000723"],"name":"FAIRsharing record for: ModelArchive","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tpqndj","doi":"10.25504/FAIRsharing.tpqndj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ModelArchive is the archive for structural models which are not based on experimental data and complements the PDB archive for experimental structures and PDB-Dev for integrative structures. The ModelArchive is being developed following the \"Workshop on Applications of Protein Models in Biomedical Research\" held at the University of California, San Francisco in July 2008 for applications of protein models in biomedical research. ModelArchive is a repository for depositions of computed models of macromolecular structures which are not based on experimental data. The models can consist of any combination of proteins, RNA, DNA, or carbohydrates and include small molecules bound to them. Deposited models are findable, accessible, interoperable and reusable. Depositions are assigned a DOI to be included in manuscripts for which the model was generated.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11540},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12736}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Structural Biology"],"domains":["Molecular structure","Mathematical model","Protein structure","Computational biological predictions","Modeling and simulation","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United States"],"publications":[{"id":1369,"pubmed_id":23624946,"title":"The Protein Model Portal--a comprehensive resource for protein structure and model information.","year":2013,"url":"http://doi.org/10.1093/database/bat031","authors":"Haas J,Roth S,Arnold K,Kiefer F,Schmidt T,Bordoli L,Schwede T","journal":"Database (Oxford)","doi":"10.1093/database/bat031","created_at":"2021-09-30T08:24:53.093Z","updated_at":"2021-09-30T08:24:53.093Z"},{"id":2988,"pubmed_id":19217386,"title":"Outcome of a workshop on applications of protein models in biomedical research.","year":2009,"url":"http://doi.org/10.1016/j.str.2008.12.014","authors":"Schwede T,Sali A,Honig B,Levitt M,Berman HM et al.","journal":"Structure","doi":"10.1016/j.str.2008.12.014","created_at":"2021-09-30T08:28:08.333Z","updated_at":"2021-09-30T08:28:08.333Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":535,"relation":"undefined"}],"grants":[{"id":2121,"fairsharing_record_id":2249,"organisation_id":284,"relation":"maintains","created_at":"2021-09-30T09:25:32.790Z","updated_at":"2021-09-30T09:25:32.790Z","grant_id":null,"is_lead":true,"saved_state":{"id":284,"name":"Biozentrum, University of Basel, Basel, Switzerland","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":2123,"fairsharing_record_id":2249,"organisation_id":2682,"relation":"funds","created_at":"2021-09-30T09:25:32.844Z","updated_at":"2021-09-30T09:25:32.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11062,"fairsharing_record_id":2249,"organisation_id":908,"relation":"collaborates_on","created_at":"2023-10-30T20:38:10.031Z","updated_at":"2023-10-30T20:38:10.031Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":11063,"fairsharing_record_id":2249,"organisation_id":2689,"relation":"funds","created_at":"2023-10-30T20:38:10.054Z","updated_at":"2023-10-30T20:38:10.054Z","grant_id":1986,"is_lead":false,"saved_state":{"id":2689,"name":"swiss universities","grant":"Swiss Open Research Data Grants (CHORD), Track B","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":11064,"fairsharing_record_id":2249,"organisation_id":819,"relation":"collaborates_on","created_at":"2023-10-30T20:38:10.296Z","updated_at":"2023-10-30T20:38:10.296Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11065,"fairsharing_record_id":2249,"organisation_id":3597,"relation":"collaborates_on","created_at":"2023-10-30T20:38:10.481Z","updated_at":"2023-10-30T20:38:10.481Z","grant_id":null,"is_lead":false,"saved_state":{"id":3597,"name":"University of Lausanne","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVVFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c8956d04314f0037c6704e29c12e05bfdaab8fe1/Screenshot%20from%202024-03-27%2021-53-17.png?disposition=inline","exhaustive_licences":true}},{"id":"2250","type":"fairsharing_records","attributes":{"created_at":"2015-12-15T12:46:05.000Z","updated_at":"2023-12-15T10:32:47.150Z","metadata":{"doi":"10.25504/FAIRsharing.1d0vs7","name":"Mediterranean Founder Mutation Database","status":"ready","contacts":[{"contact_name":"Hicham Charoute","contact_email":"hcharoute@hotmail.fr","contact_orcid":"0000-0002-9338-6744"}],"homepage":"http://mfmd.pasteur.ma/","identifier":2250,"description":"A comprehensive database established to offer a web-based access to founder mutation data in Mediterranean population. The database provides an overview about the spectrum of founder mutations found in Mediterranean population to the scientific community. Furthermore, MFMD will help scientists to design more efficient diagnostic tests and provides beneficial information to understand the history and the migration events of the Mediterranean population.","abbreviation":"MFMD","data_curation":{"url":"http://mfmd.pasteur.ma/index.php","type":"manual"},"support_links":[{"url":"http://mfmd.pasteur.ma/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://mfmd.pasteur.ma/submission.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000724","bsg-d000724"],"name":"FAIRsharing record for: Mediterranean Founder Mutation Database","abbreviation":"MFMD","url":"https://fairsharing.org/10.25504/FAIRsharing.1d0vs7","doi":"10.25504/FAIRsharing.1d0vs7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive database established to offer a web-based access to founder mutation data in Mediterranean population. The database provides an overview about the spectrum of founder mutations found in Mediterranean population to the scientific community. Furthermore, MFMD will help scientists to design more efficient diagnostic tests and provides beneficial information to understand the history and the migration events of the Mediterranean population.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science","Population Genetics"],"domains":["Mutation","Founder effect","Gene-disease association","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Morocco"],"publications":[{"id":907,"pubmed_id":26173767,"title":"Mediterranean Founder Mutation Database (MFMD): Taking Advantage from Founder Mutations in Genetics Diagnosis, Genetic Diversity and Migration History of the Mediterranean Population.","year":2015,"url":"http://doi.org/10.1002/humu.22835","authors":"Charoute H, Bakhchane A, Benrahma H, Romdhane L, Gabi K, Rouba H, Fakiri M, Abdelhak S, Lenaers G, Barakat A.","journal":"Human Mutation","doi":"10.1002/humu.22835","created_at":"2021-09-30T08:24:00.145Z","updated_at":"2021-09-30T08:24:00.145Z"}],"licence_links":[],"grants":[{"id":2125,"fairsharing_record_id":2250,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:25:32.901Z","updated_at":"2021-09-30T09:25:32.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2126,"fairsharing_record_id":2250,"organisation_id":2293,"relation":"maintains","created_at":"2021-09-30T09:25:32.941Z","updated_at":"2021-09-30T09:25:32.941Z","grant_id":null,"is_lead":false,"saved_state":{"id":2293,"name":"Pasteur Institute of Morocco","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2251","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T11:15:53.000Z","updated_at":"2023-12-15T10:30:09.794Z","metadata":{"doi":"10.25504/FAIRsharing.n8qft8","name":"Mexican Health and Aging Study","status":"ready","contacts":[{"contact_name":"Rebeca Wong","contact_email":"rewong@utmb.edu","contact_orcid":"0000-0001-7287-0660"}],"homepage":"http://www.mhasweb.org/","identifier":2251,"description":"The MHAS study is a series of questionnaires distributed in waves, the fourth of which was fielded in the Fall of 2015. Research goals include, but are not limited to the following: examination of the aging processes and its disease and disability burden in a large representative panel of older Mexicans; evaluation of the effects of individual behaviors, early life circumstances, migration and economic history, community characteristics, and family transfer systems on multiple health outcomes; and comparison of the health dynamics of older Mexicans with comparably aged Mexican-born migrants in the U.S. and second generation Mexican-American using similar data from the U.S. population (for example the biennial Health and Retirement Study HRS) to assess the durability of the migrant health advantage.","abbreviation":"MHAS","data_curation":{"type":"not found"},"support_links":[{"url":"info@mhasweb.com","type":"Support email"},{"url":"http://www.mhasweb.org/DocumentationQuestionnaire.aspx","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011840","name":"re3data:r3d100011840","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000818","name":"SciCrunch:RRID:SCR_000818","portal":"SciCrunch"}],"data_access_condition":{"type":"open","notes":"Registration required"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000725","bsg-d000725"],"name":"FAIRsharing record for: Mexican Health and Aging Study","abbreviation":"MHAS","url":"https://fairsharing.org/10.25504/FAIRsharing.n8qft8","doi":"10.25504/FAIRsharing.n8qft8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MHAS study is a series of questionnaires distributed in waves, the fourth of which was fielded in the Fall of 2015. Research goals include, but are not limited to the following: examination of the aging processes and its disease and disability burden in a large representative panel of older Mexicans; evaluation of the effects of individual behaviors, early life circumstances, migration and economic history, community characteristics, and family transfer systems on multiple health outcomes; and comparison of the health dynamics of older Mexicans with comparably aged Mexican-born migrants in the U.S. and second generation Mexican-American using similar data from the U.S. population (for example the biennial Health and Retirement Study HRS) to assess the durability of the migrant health advantage.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11123}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Biomedical Science"],"domains":["Aging","Questionnaire","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Mexico","United States"],"publications":[{"id":890,"pubmed_id":26172238,"title":"Progression of aging in Mexico: the Mexican Health and Aging Study (MHAS) 2012.","year":2015,"url":"http://doi.org/10.21149/spm.v57s1.7593","authors":"Wong R,Michaels-Obregon A,Palloni A,Gutierrez-Robledo LM,Gonzalez-Gonzalez C,Lopez-Ortega M,Tellez-Rojo MM,Mendoza-Alvarado LR","journal":"Salud Publica Mex","doi":"10.21149/spm.v57s1.7593","created_at":"2021-09-30T08:23:58.321Z","updated_at":"2021-09-30T08:23:58.321Z"}],"licence_links":[{"licence_name":"Mexican Health and Aging Study - Unrestricted after Registration (Majority)","licence_id":507,"licence_url":"http://www.mhasweb.org/Data.aspx","link_id":1204,"relation":"undefined"},{"licence_name":"MHAS - Usage Restricted (Subset of Data only)","licence_id":512,"licence_url":"http://www.mhasweb.org/resources/MHAS%20Restricted-Use%20Files.pdf","link_id":1205,"relation":"undefined"}],"grants":[{"id":2127,"fairsharing_record_id":2251,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:25:32.973Z","updated_at":"2021-09-30T09:29:50.363Z","grant_id":428,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"R01-AG018016","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2255","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T13:40:13.000Z","updated_at":"2024-03-21T13:59:33.931Z","metadata":{"doi":"10.25504/FAIRsharing.q04phv","name":"NIH Human Microbiome Project","status":"ready","contacts":[],"homepage":"http://hmpdacc.org/","citations":[{"doi":"10.1038/nature11209","pubmed_id":22699610,"publication_id":889},{"doi":"10.1038/s41586-019-1238-8","pubmed_id":null,"publication_id":3890}],"identifier":2255,"description":"The NIH Common Fund Human Microbiome Project (HMP) was established in 2008, with the mission of generating resources that would enable the comprehensive characterization of the human microbiome and analysis of its role in human health and disease. The HMP has characterized the microbial communities found at several different sites on the human body: nasal passages, oral cavity, skin, gastrointestinal tract, and urogenital tract.","abbreviation":"HMP","data_curation":{"type":"not found"},"support_links":[{"url":"http://hmpdacc.org/outreach/feedback.php","type":"Contact form"},{"url":"http://hmpdacc.org/overview/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://commonfund.nih.gov/hmp/index","type":"Help documentation"},{"url":"https://twitter.com/hmpdacc","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://hmpdacc.org/sp/","name":"SitePainter"}],"data_access_condition":{"url":"https://www.hmpdacc.org/hmp/overview/data-model.php","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000729","bsg-d000729"],"name":"FAIRsharing record for: NIH Human Microbiome Project","abbreviation":"HMP","url":"https://fairsharing.org/10.25504/FAIRsharing.q04phv","doi":"10.25504/FAIRsharing.q04phv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NIH Common Fund Human Microbiome Project (HMP) was established in 2008, with the mission of generating resources that would enable the comprehensive characterization of the human microbiome and analysis of its role in human health and disease. The HMP has characterized the microbial communities found at several different sites on the human body: nasal passages, oral cavity, skin, gastrointestinal tract, and urogenital tract.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10814},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11127}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Microbiome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":888,"pubmed_id":22699609,"title":"Structure, function and diversity of the healthy human microbiome.","year":2012,"url":"http://doi.org/10.1038/nature11234","authors":"The Human Microbiome Project Consortium","journal":"Nature","doi":"10.1038/nature11234","created_at":"2021-09-30T08:23:58.052Z","updated_at":"2021-09-30T11:28:31.185Z"},{"id":889,"pubmed_id":22699610,"title":"A framework for human microbiome research.","year":2012,"url":"http://doi.org/10.1038/nature11209","authors":"The Human Microbiome Project Consortium","journal":"Nature","doi":"10.1038/nature11209","created_at":"2021-09-30T08:23:58.160Z","updated_at":"2021-09-30T11:28:31.296Z"},{"id":3890,"pubmed_id":null,"title":"The Integrative Human Microbiome Project","year":2019,"url":"http://dx.doi.org/10.1038/s41586-019-1238-8","authors":"undefined, undefined; ","journal":"Nature","doi":"10.1038/s41586-019-1238-8","created_at":"2023-06-06T08:32:33.048Z","updated_at":"2023-06-06T08:32:33.048Z"}],"licence_links":[{"licence_name":"NIH HMP Web Policies and Notices","licence_id":585,"licence_url":"http://hmpdacc.org/policy.php","link_id":887,"relation":"undefined"}],"grants":[{"id":2138,"fairsharing_record_id":2255,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:25:33.371Z","updated_at":"2021-09-30T09:25:33.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2133,"fairsharing_record_id":2255,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:33.211Z","updated_at":"2021-09-30T09:25:33.211Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2134,"fairsharing_record_id":2255,"organisation_id":2162,"relation":"maintains","created_at":"2021-09-30T09:25:33.253Z","updated_at":"2021-09-30T09:25:33.253Z","grant_id":null,"is_lead":false,"saved_state":{"id":2162,"name":"NIH Data Analysis and Coordination Center (DACC)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2137,"fairsharing_record_id":2255,"organisation_id":1281,"relation":"maintains","created_at":"2021-09-30T09:25:33.346Z","updated_at":"2021-09-30T09:25:33.346Z","grant_id":null,"is_lead":false,"saved_state":{"id":1281,"name":"Human Microbiome Project, Broad Institute, Cambridge, MA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2139,"fairsharing_record_id":2255,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:25:33.410Z","updated_at":"2021-09-30T09:25:33.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11552,"fairsharing_record_id":2255,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:51.211Z","updated_at":"2024-03-21T13:58:51.211Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}},{"id":11606,"fairsharing_record_id":2255,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:33.733Z","updated_at":"2024-03-21T13:59:33.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2256","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T14:10:05.000Z","updated_at":"2023-12-15T10:32:02.398Z","metadata":{"doi":"10.25504/FAIRsharing.m8wewa","name":"Cancer Genome Atlas","status":"ready","contacts":[{"contact_email":"tcga@mail.nih.gov"}],"homepage":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga","citations":[],"identifier":2256,"description":"The Cancer Genome Atlas (TCGA) is a comprehensive, collaborative effort led by the National Institutes of Health (NIH) to map the genomic changes associated with specific types of tumors to improve the prevention, diagnosis and treatment of cancer. Its mission is to accelerate the understanding of the molecular basis of cancer through the application of genome analysis and characterization technologies.","abbreviation":"TCGA","data_curation":{"type":"not found"},"support_links":[{"url":"https://wiki.nci.nih.gov/display/TCGA/TCGA+Data+Primer","type":"Help documentation"},{"url":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/history","type":"Help documentation"},{"url":"https://twitter.com/TCGAupdates","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/using-tcga/tools","name":"TCGA Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011173","name":"re3data:r3d100011173","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003193","name":"SciCrunch:RRID:SCR_003193","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000730","bsg-d000730"],"name":"FAIRsharing record for: Cancer Genome Atlas","abbreviation":"TCGA","url":"https://fairsharing.org/10.25504/FAIRsharing.m8wewa","doi":"10.25504/FAIRsharing.m8wewa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer Genome Atlas (TCGA) is a comprehensive, collaborative effort led by the National Institutes of Health (NIH) to map the genomic changes associated with specific types of tumors to improve the prevention, diagnosis and treatment of cancer. Its mission is to accelerate the understanding of the molecular basis of cancer through the application of genome analysis and characterization technologies.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11128},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12739}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science","Biomedical Science"],"domains":["Cancer"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":785,"pubmed_id":25654590,"title":"The future of cancer genomics.","year":2015,"url":"http://doi.org/10.1038/nm.3801","authors":"No authors listed","journal":"Nat Med","doi":"10.1038/nm.3801","created_at":"2021-09-30T08:23:46.535Z","updated_at":"2021-09-30T11:28:30.971Z"},{"id":794,"pubmed_id":21383744,"title":"Cancer genomics: from discovery science to personalized medicine.","year":2011,"url":"http://doi.org/10.1038/nm.2323","authors":"Chin L,Andersen JN,Futreal PA","journal":"Nat Med","doi":"10.1038/nm.2323","created_at":"2021-09-30T08:23:47.511Z","updated_at":"2021-09-30T08:23:47.511Z"},{"id":1126,"pubmed_id":21406553,"title":"Making sense of cancer genomic data.","year":2011,"url":"http://doi.org/10.1101/gad.2017311","authors":"Chin L,Hahn WC,Getz G,Meyerson M","journal":"Genes Dev","doi":"10.1101/gad.2017311","created_at":"2021-09-30T08:24:24.783Z","updated_at":"2021-09-30T08:24:24.783Z"},{"id":1286,"pubmed_id":25691825,"title":"The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.","year":2015,"url":"http://doi.org/10.5114/wo.2014.47136","authors":"Tomczak K,Czerwinska P,Wiznerowicz M","journal":"Contemp Oncol (Pozn)","doi":"10.5114/wo.2014.47136","created_at":"2021-09-30T08:24:43.542Z","updated_at":"2021-09-30T08:24:43.542Z"}],"licence_links":[{"licence_name":"The Cancer Genome Atlas data policies and guidelines","licence_id":783,"licence_url":"https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga/history/policies","link_id":1315,"relation":"undefined"}],"grants":[{"id":2141,"fairsharing_record_id":2256,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:33.486Z","updated_at":"2021-09-30T09:25:33.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2140,"fairsharing_record_id":2256,"organisation_id":1954,"relation":"maintains","created_at":"2021-09-30T09:25:33.439Z","updated_at":"2021-09-30T09:25:33.439Z","grant_id":null,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2259","type":"fairsharing_records","attributes":{"created_at":"2016-01-06T08:30:27.000Z","updated_at":"2023-12-15T10:29:45.218Z","metadata":{"doi":"10.25504/FAIRsharing.pxr7x2","name":"SwissLipids","status":"ready","contacts":[{"contact_name":"Alan Bridge","contact_email":"swisslipids@isb-sib.ch","contact_orcid":"0000-0003-2148-9135"}],"homepage":"http://www.swisslipids.org/#/","citations":[],"identifier":2259,"description":"SwissLipids is an expert-curated resource that provides a framework for the integration of lipid and lipidomic data with biological knowledge and models. SwissLipids is updated daily.","abbreviation":"SwissLipids","data_curation":{"url":"http://www.swisslipids.org/#/about","type":"manual","notes":"Expert curated lipids"},"support_links":[{"url":"http://www.swisslipids.org/#/about","name":"About","type":"Help documentation"},{"url":"http://www.swisslipids.org/#/news","name":"News","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012603","name":"re3data:r3d100012603","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000733","bsg-d000733"],"name":"FAIRsharing record for: SwissLipids","abbreviation":"SwissLipids","url":"https://fairsharing.org/10.25504/FAIRsharing.pxr7x2","doi":"10.25504/FAIRsharing.pxr7x2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SwissLipids is an expert-curated resource that provides a framework for the integration of lipid and lipidomic data with biological knowledge and models. SwissLipids is updated daily.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Metabolomics"],"domains":["Mass spectrum","Chemical structure","Lipid","Cellular localization","Molecular interaction","Enzyme","Structure","Literature curation","Biocuration"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":187,"pubmed_id":25943471,"title":"The SwissLipids knowledgebase for lipid biology.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv285","authors":"Aimo L,Liechti R,Hyka-Nouspikel N,Niknejad A,Gleizes A,Gotz L,Kuznetsov D,David FP,van der Goot FG,Riezman H,Bougueleret L,Xenarios I,Bridge A","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv285","created_at":"2021-09-30T08:22:40.522Z","updated_at":"2021-09-30T08:22:40.522Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":871,"relation":"undefined"}],"grants":[{"id":2156,"fairsharing_record_id":2259,"organisation_id":2635,"relation":"funds","created_at":"2021-09-30T09:25:34.023Z","updated_at":"2021-09-30T09:25:34.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation SERI","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2155,"fairsharing_record_id":2259,"organisation_id":2687,"relation":"maintains","created_at":"2021-09-30T09:25:33.992Z","updated_at":"2021-09-30T09:25:33.992Z","grant_id":null,"is_lead":false,"saved_state":{"id":2687,"name":"Swiss-Prot group, SIB Swiss Institute of Bioinformatics","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2157,"fairsharing_record_id":2259,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:25:34.051Z","updated_at":"2021-09-30T09:25:34.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2158,"fairsharing_record_id":2259,"organisation_id":3193,"relation":"maintains","created_at":"2021-09-30T09:25:34.081Z","updated_at":"2021-09-30T09:25:34.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":3193,"name":"Vital-IT group, SIB Swiss Institute of Bioinformatics, Switzerland","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2260","type":"fairsharing_records","attributes":{"created_at":"2016-01-15T14:48:10.000Z","updated_at":"2022-02-23T19:04:03.834Z","metadata":{"doi":"10.25504/FAIRsharing.bc3cnk","name":"Visualizing Continuous Health Usability Test Results Dataset","status":"deprecated","contacts":[{"contact_name":"Andres Ledesma","contact_email":"andres.ledesma@tut.fi"}],"homepage":"http://www.tut.fi/phi/?p=319","identifier":2260,"description":"The dataset was obtained from series of usability tests on a software tool for visualizing continuous health status of a modeled patient. The emphasis of this results are on the hFigures visualization llibrary. The software is a dashboard for visualizing the health status of a modeled virtual patient improving the health condition over a coaching program. The files are in machine-readable format saved as comma separated values. The questionnaires applied were: After Scenario Questionnaire Computer System Usability Questionnaire Nielsen’s Heuristic Evaluation The questionnaires were done using the web application by Gary Perlman available in the url: garyperlman.com/quest/ the file laboratory.csv contains the tasks and their time to completion along with the errors occurred. The tasks, software tool and research context is available in the article submitted to BMC Medical Informatics \u0026 Decision Making. The experiment included three usability experts and eleven non-expert users. The file asq.csv contains the answers to the three questions of the After Scenario Questionnaire. The file csuq.csv contains the answers to the 19 questions of the Computer System Usability Questionnaire. The file heuristics.csv contains the answers to the 10 questions of the Nielsen’s Heuristic Evaluation. This datasets are available under the MIT license.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000734","bsg-d000734"],"name":"FAIRsharing record for: Visualizing Continuous Health Usability Test Results Dataset","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bc3cnk","doi":"10.25504/FAIRsharing.bc3cnk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The dataset was obtained from series of usability tests on a software tool for visualizing continuous health status of a modeled patient. The emphasis of this results are on the hFigures visualization llibrary. The software is a dashboard for visualizing the health status of a modeled virtual patient improving the health condition over a coaching program. The files are in machine-readable format saved as comma separated values. The questionnaires applied were: After Scenario Questionnaire Computer System Usability Questionnaire Nielsen’s Heuristic Evaluation The questionnaires were done using the web application by Gary Perlman available in the url: garyperlman.com/quest/ the file laboratory.csv contains the tasks and their time to completion along with the errors occurred. The tasks, software tool and research context is available in the article submitted to BMC Medical Informatics \u0026 Decision Making. The experiment included three usability experts and eleven non-expert users. The file asq.csv contains the answers to the three questions of the After Scenario Questionnaire. The file csuq.csv contains the answers to the 19 questions of the Computer System Usability Questionnaire. The file heuristics.csv contains the answers to the 10 questions of the Nielsen’s Heuristic Evaluation. This datasets are available under the MIT license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Finland"],"publications":[],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":890,"relation":"undefined"}],"grants":[{"id":8890,"fairsharing_record_id":2260,"organisation_id":2703,"relation":"associated_with","created_at":"2022-02-23T19:03:25.748Z","updated_at":"2022-02-23T19:03:25.748Z","grant_id":null,"is_lead":false,"saved_state":{"id":2703,"name":"Tampere University, Finland","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2261","type":"fairsharing_records","attributes":{"created_at":"2016-01-22T03:31:01.000Z","updated_at":"2023-12-15T10:30:53.503Z","metadata":{"doi":"10.25504/FAIRsharing.bcjrnq","name":"Physiome Model Repository","status":"ready","contacts":[{"contact_name":"Repository Help","contact_email":"help@physiomeproject.org"}],"homepage":"https://models.physiomeproject.org","citations":[],"identifier":2261,"description":"The Physiome Model Repository (PMR) is the main online repository for the IUPS Physiome Project, providing version and access controlled repositories, called workspaces, for users to store their data. PMR also provides a mechanism to create persistent access to specific revisions of a workspace, termed exposures. Exposure plugins are available for specific types of data (e.g., CellML or FieldML documents) which enable customizable views of the data when browsing the repository via a web browser, or an application accessing the repository’s content via web services.","abbreviation":"PMR","data_curation":{"type":"not found"},"support_links":[{"url":"https://models.physiomeproject.org/about/contact","name":"General Contact","type":"Contact form"},{"url":"https://aucklandphysiomerepository.readthedocs.io/en/latest/","name":"User Documentation","type":"Help documentation"},{"url":"https://twitter.com/physiomeproject","name":"@physiomeproject","type":"Twitter"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"http://opencor.ws","name":"OpenCOR"},{"url":"https://github.com/pmr2","name":"PMR2"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000735","bsg-d000735"],"name":"FAIRsharing record for: Physiome Model Repository","abbreviation":"PMR","url":"https://fairsharing.org/10.25504/FAIRsharing.bcjrnq","doi":"10.25504/FAIRsharing.bcjrnq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Physiome Model Repository (PMR) is the main online repository for the IUPS Physiome Project, providing version and access controlled repositories, called workspaces, for users to store their data. PMR also provides a mechanism to create persistent access to specific revisions of a workspace, termed exposures. Exposure plugins are available for specific types of data (e.g., CellML or FieldML documents) which enable customizable views of the data when browsing the repository via a web browser, or an application accessing the repository’s content via web services.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12250}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Mathematics","Life Science","Physiology","Biomedical Science","Systems Biology"],"domains":["Mathematical model","Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["New Zealand","United Kingdom","United States"],"publications":[{"id":932,"pubmed_id":21216774,"title":"The Physiome Model Repository 2.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btq723","authors":"Yu T,Lloyd CM,Nickerson DP,Cooling MT,Miller AK,Garny A,Terkildsen JR,Lawson J,Britten RD,Hunter PJ,Nielsen PM","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq723","created_at":"2021-09-30T08:24:03.080Z","updated_at":"2021-09-30T08:24:03.080Z"},{"id":935,"pubmed_id":18658182,"title":"The CellML Model Repository.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn390","authors":"Lloyd CM,Lawson JR,Hunter PJ,Nielsen PF","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn390","created_at":"2021-09-30T08:24:03.454Z","updated_at":"2021-09-30T08:24:03.454Z"},{"id":1405,"pubmed_id":19380315,"title":"CellML metadata standards, associated tools and repositories.","year":2009,"url":"http://doi.org/10.1098/rsta.2008.0310","authors":"Beard DA,Britten R,Cooling MT,Garny A,Halstead MD,Hunter PJ,Lawson J,Lloyd CM,Marsh J,Miller A,Nickerson DP,Nielsen PM,Nomura T,Subramanium S,Wimalaratne SM,Yu T","journal":"Philos Trans A Math Phys Eng Sci","doi":"10.1098/rsta.2008.0310","created_at":"2021-09-30T08:24:57.083Z","updated_at":"2021-09-30T08:24:57.083Z"},{"id":2143,"pubmed_id":21235804,"title":"Revision history aware repositories of computational models of biological systems.","year":2011,"url":"http://doi.org/10.1186/1471-2105-12-22","authors":"Miller AK,Yu T,Britten R,Cooling MT,Lawson J,Cowan D,Garny A,Halstead MD,Hunter PJ,Nickerson DP,Nunns G,Wimalaratne SM,Nielsen PM","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-12-22","created_at":"2021-09-30T08:26:21.558Z","updated_at":"2021-09-30T08:26:21.558Z"},{"id":2679,"pubmed_id":17947072,"title":"Toward a curated CellML model repository.","year":2007,"url":"http://doi.org/10.1109/IEMBS.2006.260202","authors":"Nickerson D,Stevens C,Halstead M,Hunter P,Nielsen P","journal":"Conf Proc IEEE Eng Med Biol Soc","doi":"10.1109/IEMBS.2006.260202","created_at":"2021-09-30T08:27:28.980Z","updated_at":"2021-09-30T08:27:28.980Z"},{"id":2686,"pubmed_id":27051515,"title":"The Human Physiome: how standards, software and innovative service infrastructures are providing the building blocks to make it achievable.","year":2016,"url":"http://doi.org/10.1098/rsfs.2015.0103","authors":"Nickerson D,Atalag K,de Bono B,Geiger J,Goble C,Hollmann S,Lonien J,Muller W,Regierer B,Stanford NJ,Golebiewski M,Hunter P","journal":"Interface Focus","doi":"10.1098/rsfs.2015.0103","created_at":"2021-09-30T08:27:29.972Z","updated_at":"2021-09-30T08:27:29.972Z"}],"licence_links":[],"grants":[{"id":2160,"fairsharing_record_id":2261,"organisation_id":134,"relation":"maintains","created_at":"2021-09-30T09:25:34.186Z","updated_at":"2021-09-30T09:25:34.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":134,"name":"Auckland Bioengineering Institute, New Zealand","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2263","type":"fairsharing_records","attributes":{"created_at":"2016-03-02T05:59:46.000Z","updated_at":"2023-12-15T10:32:51.731Z","metadata":{"doi":"10.25504/FAIRsharing.dw22y3","name":"Genetic and Genomic Information System","status":"ready","contacts":[{"contact_name":"URGI Contact","contact_email":"urgi-contact@versailles.inra.fr","contact_orcid":"0000-0003-3001-4908"}],"homepage":"https://urgi.versailles.inra.fr/gnpis","identifier":2263,"description":"GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.","abbreviation":"GnpIS","data_curation":{"url":"https://urgi.versailles.inrae.fr/Species/Botrytis","type":"manual/automated","notes":"Some data, such as genomes are mmanually curated and functionaly annotated"},"support_links":[{"url":"urgi-support@versailles.inra.fr","type":"Support email"}],"year_creation":2001,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012647","name":"re3data:r3d100012647","portal":"re3data"}],"data_access_condition":{"type":"partially open","notes":"Some data can only be accessed through a register form, only possible for project partners."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://urgi.versailles.inrae.fr/Data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000737","bsg-d000737"],"name":"FAIRsharing record for: Genetic and Genomic Information System","abbreviation":"GnpIS","url":"https://fairsharing.org/10.25504/FAIRsharing.dw22y3","doi":"10.25504/FAIRsharing.dw22y3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11366},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11872},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12175},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12741},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16741}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genetic map","Genome map","Expression data","DNA sequence data","Genetic polymorphism","Phenotype","Genotype"],"taxonomies":["Agaricus subrefescens","Arabidopsis thaliana","Arabis alpina","Botrytis cinerea B0510","Botrytis cinerea T4","Leptosphaeria","Malus x domestica","Medicago truncatula","Microbotryum violaceum","Oryza","Pisum sativum L.","Plantae","Populus trichocarpa","Sclerotinia sclerotiorum","Solanum lycopersicum (ITAG 2.3)","Triticum aestivum","Tuber melanosporum","Venturia inaequalis","Vitis vinifera","Zea mays"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2210,"pubmed_id":23959375,"title":"GnpIS: an information system to integrate genetic and genomic data from plants and fungi","year":2013,"url":"http://doi.org/10.1093/database/bat058","authors":"Delphine Steinbach, Michael Alaux, Joelle Amselem, Nathalie Choisne, Sophie Durand, Raphaël Flores, Aminah-Olivia Keliet, Erik Kimmel, Nicolas Lapalu, Isabelle Luyten, Célia Michotey, Nacer Mohellibi, Cyril Pommier, Sébastien Reboux, Dorothée Valdenaire, Daphné Verdelet and Hadi Quesneville*","journal":"Database","doi":"10.1093/database/bat058","created_at":"2021-09-30T08:26:29.074Z","updated_at":"2021-09-30T08:26:29.074Z"}],"licence_links":[],"grants":[{"id":2166,"fairsharing_record_id":2263,"organisation_id":2872,"relation":"maintains","created_at":"2021-09-30T09:25:34.362Z","updated_at":"2021-09-30T09:25:34.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":2872,"name":"trans-national infrastructure for plant genomic science (transPLANT)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2170,"fairsharing_record_id":2263,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:25:34.473Z","updated_at":"2021-09-30T09:25:34.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2168,"fairsharing_record_id":2263,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:25:34.413Z","updated_at":"2021-09-30T09:31:17.133Z","grant_id":1101,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","grant":"283496","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2167,"fairsharing_record_id":2263,"organisation_id":2919,"relation":"maintains","created_at":"2021-09-30T09:25:34.389Z","updated_at":"2021-09-30T09:25:34.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":2919,"name":"Unité de Recherche Genomique Info (URGI), Institut National de la Recherche Agronomique (INRA), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2169,"fairsharing_record_id":2263,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:34.439Z","updated_at":"2021-09-30T09:25:34.439Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2171,"fairsharing_record_id":2263,"organisation_id":843,"relation":"maintains","created_at":"2021-09-30T09:25:34.497Z","updated_at":"2021-09-30T09:25:34.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":843,"name":"ELIXIR-Hub, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2264","type":"fairsharing_records","attributes":{"created_at":"2016-03-08T19:07:34.000Z","updated_at":"2023-06-23T11:33:59.194Z","metadata":{"doi":"10.25504/FAIRsharing.j97pjn","name":"Validated Antibody Database","status":"ready","contacts":[{"contact_name":"Hanqing Xie","contact_email":"han@labome.com"}],"homepage":"http://www.labome.com","citations":[],"identifier":2264,"description":"Labome organizes reagent information from high quality suppliers. The reagents include antibodies, siRNA/shRNA, ELISA kits, cDNA clones, proteins/peptides, and biochemicals. To help solve the antibody quality problem, Labome manually curates antibody information from formal publications and develops Validated Antibody Database (VAD).","abbreviation":"VAD","data_curation":{"type":"manual","notes":"VAD is a manually curated database."},"support_links":[{"url":"https://twitter.com/labome","type":"Twitter"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"url":"https://www.labome.com/bin/ea.pl?q=","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000738","bsg-d000738"],"name":"FAIRsharing record for: Validated Antibody Database","abbreviation":"VAD","url":"https://fairsharing.org/10.25504/FAIRsharing.j97pjn","doi":"10.25504/FAIRsharing.j97pjn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Labome organizes reagent information from high quality suppliers. The reagents include antibodies, siRNA/shRNA, ELISA kits, cDNA clones, proteins/peptides, and biochemicals. To help solve the antibody quality problem, Labome manually curates antibody information from formal publications and develops Validated Antibody Database (VAD).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Peptide","Reagent","Antibody","Protein","Complementary DNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3887,"pubmed_id":null,"title":"Abstract 3111: Validated antibody Database: A curated database of antibodies cited in formal publications","year":2017,"url":"http://dx.doi.org/10.1158/1538-7445.AM2017-3111","authors":"Xie, Hanqing; ","journal":"Cancer Research","doi":"10.1158/1538-7445.am2017-3111","created_at":"2023-06-05T08:43:18.837Z","updated_at":"2023-06-05T08:43:18.837Z"}],"licence_links":[{"licence_name":"Labome Copyright","licence_id":484,"licence_url":"http://www.labome.com/about/copyright.html","link_id":891,"relation":"undefined"}],"grants":[{"id":2172,"fairsharing_record_id":2264,"organisation_id":1660,"relation":"maintains","created_at":"2021-09-30T09:25:34.527Z","updated_at":"2021-09-30T09:25:34.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":1660,"name":"Labome, Princeton, NJ, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2265","type":"fairsharing_records","attributes":{"created_at":"2016-03-15T12:52:35.000Z","updated_at":"2023-12-15T10:32:44.586Z","metadata":{"doi":"10.25504/FAIRsharing.wx5r6f","name":"ClinVar","status":"ready","contacts":[{"contact_email":"clinvar@ncbi.nlm.nih.gov"}],"homepage":"http://www.ncbi.nlm.nih.gov/clinvar/","citations":[],"identifier":2265,"description":"ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. ClinVar thus facilitates access to and communication about the relationships asserted between human variation and observed health status, and the history of that interpretation. ClinVar processes submissions reporting variants found in patient samples, assertions made regarding their clinical significance, information about the submitter, and other supporting data. The alleles described in submissions are mapped to reference sequences, and reported according to the HGVS standard. ClinVar then presents the data for interactive users as well as those wishing to use ClinVar in daily workflows and other local applications. ClinVar works in collaboration with interested organizations to meet the needs of the medical genetics community as efficiently and effectively as possible.","abbreviation":"ClinVar","data_curation":{"type":"none"},"support_links":[{"url":"http://www.ncbi.nlm.nih.gov/clinvar/docs/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/clinvar/docs/faq_submitters/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ncbi.nlm.nih.gov/clinvar/docs/help/","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://www.ncbi.nlm.nih.gov/clinvar/advanced/","name":"Advanced Search"},{"url":"http://www.ncbi.nlm.nih.gov/variation/view/","name":"Variation Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013331","name":"re3data:r3d100013331","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006169","name":"SciCrunch:RRID:SCR_006169","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/clinvar/docs/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000739","bsg-d000739"],"name":"FAIRsharing record for: ClinVar","abbreviation":"ClinVar","url":"https://fairsharing.org/10.25504/FAIRsharing.wx5r6f","doi":"10.25504/FAIRsharing.wx5r6f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. ClinVar thus facilitates access to and communication about the relationships asserted between human variation and observed health status, and the history of that interpretation. ClinVar processes submissions reporting variants found in patient samples, assertions made regarding their clinical significance, information about the submitter, and other supporting data. The alleles described in submissions are mapped to reference sequences, and reported according to the HGVS standard. ClinVar then presents the data for interactive users as well as those wishing to use ClinVar in daily workflows and other local applications. ClinVar works in collaboration with interested organizations to meet the needs of the medical genetics community as efficiently and effectively as possible.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12742},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19992}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Clinical Studies","Biomedical Science","Preclinical Studies"],"domains":["Genetic polymorphism","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1302,"pubmed_id":24234437,"title":"ClinVar: public archive of relationships among sequence variation and human phenotype.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1113","authors":"Landrum MJ,Lee JM,Riley GR,Jang W,Rubinstein WS,Church DM,Maglott DR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1113","created_at":"2021-09-30T08:24:45.398Z","updated_at":"2021-09-30T11:29:05.661Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":1835,"relation":"undefined"}],"grants":[{"id":2173,"fairsharing_record_id":2265,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:34.567Z","updated_at":"2021-09-30T09:25:34.567Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2257","type":"fairsharing_records","attributes":{"created_at":"2015-12-16T18:40:21.000Z","updated_at":"2023-12-15T10:30:44.514Z","metadata":{"doi":"10.25504/FAIRsharing.httzv2","name":"Movebank Data Repository","status":"ready","contacts":[{"contact_name":"Sarah Davidson","contact_email":"sdavidson@ab.mpg.de","contact_orcid":"0000-0002-2766-9201"}],"homepage":"https://www.datarepository.movebank.org/","citations":[],"identifier":2257,"description":"This data repository allows users to publish animal tracking and animal-borne sensor datasets that have been uploaded to Movebank (https://www.movebank.org). Published datasets have gone through a submission and review process, and are associated with a peer-reviewed journal article or other published report. All animal tracking data in this repository are available to the public.","abbreviation":"MDR","data_curation":{"url":"https://datarepository.movebank.org/help/submission-guidelines","type":"manual"},"support_links":[{"url":"support@movebank.org","name":"General Contact","type":"Support email"},{"url":"https://www.movebank.org/cms/movebank-content/manual","name":"User Manual","type":"Help documentation"},{"url":"https://www.movebank.org/node/15294","name":"About","type":"Help documentation"},{"url":"https://www.movebank.org/cms/movebank-content/manual#part_2:_data_management_with_movebank","name":"Submission Documentation","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010469","name":"re3data:r3d100010469","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://datarepository.movebank.org/help/submission-guidelines","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000731","bsg-d000731"],"name":"FAIRsharing record for: Movebank Data Repository","abbreviation":"MDR","url":"https://fairsharing.org/10.25504/FAIRsharing.httzv2","doi":"10.25504/FAIRsharing.httzv2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This data repository allows users to publish animal tracking and animal-borne sensor datasets that have been uploaded to Movebank (https://www.movebank.org). Published datasets have gone through a submission and review process, and are associated with a peer-reviewed journal article or other published report. All animal tracking data in this repository are available to the public.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12983}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Zoology","Behavioural Biology","Ecology","Life Science","Biology"],"domains":["Centrally registered identifier","Animal tracking"],"taxonomies":["Animalia"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":1515,"pubmed_id":26578793,"title":"Fat, weather, and date affect migratory songbirds' departure decisions, routes, and time it takes to cross the Gulf of Mexico.","year":2015,"url":"http://doi.org/10.1073/pnas.1503381112","authors":"Deppe JL,Ward MP,Bolus RT,Diehl RH,Celis-Murillo A,Zenzal TJ Jr,Moore FR,Benson TJ,Smolinsky JA,Schofield LN,Enstrom DA,Paxton EH,Bohrer G,Beveroth TA,Raim A,Obringer RL,Delaney D,Cochran WW","journal":"Proc Natl Acad Sci U S A","doi":"10.1073/pnas.1503381112","created_at":"2021-09-30T08:25:09.562Z","updated_at":"2021-09-30T08:25:09.562Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":985,"relation":"undefined"}],"grants":[{"id":2144,"fairsharing_record_id":2257,"organisation_id":158,"relation":"funds","created_at":"2021-09-30T09:25:33.598Z","updated_at":"2021-09-30T09:25:33.598Z","grant_id":null,"is_lead":false,"saved_state":{"id":158,"name":"Baden-Württemberg Ministry for Science, Research and Art","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2146,"fairsharing_record_id":2257,"organisation_id":1992,"relation":"funds","created_at":"2021-09-30T09:25:33.673Z","updated_at":"2021-09-30T09:32:12.278Z","grant_id":1515,"is_lead":false,"saved_state":{"id":1992,"name":"National Geographic Society, Washington DC, USA","grant":"8971-11","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7990,"fairsharing_record_id":2257,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:16.406Z","updated_at":"2021-09-30T09:30:16.443Z","grant_id":631,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1147022","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8124,"fairsharing_record_id":2257,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:05.014Z","updated_at":"2021-09-30T09:31:05.070Z","grant_id":1008,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1147096","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2142,"fairsharing_record_id":2257,"organisation_id":1792,"relation":"maintains","created_at":"2021-09-30T09:25:33.527Z","updated_at":"2021-09-30T09:25:33.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":1792,"name":"Max Planck Institute of Animal Behavior","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2143,"fairsharing_record_id":2257,"organisation_id":3074,"relation":"maintains","created_at":"2021-09-30T09:25:33.566Z","updated_at":"2021-09-30T09:25:33.566Z","grant_id":null,"is_lead":true,"saved_state":{"id":3074,"name":"University of Konstanz Communication, Information, Media Centre","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2145,"fairsharing_record_id":2257,"organisation_id":994,"relation":"funds","created_at":"2021-09-30T09:25:33.636Z","updated_at":"2021-09-30T09:25:33.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":994,"name":"FAIRsFAIR (European Union’s Horizon 2020 Project)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2147,"fairsharing_record_id":2257,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:33.710Z","updated_at":"2021-09-30T09:25:33.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2148,"fairsharing_record_id":2257,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:33.739Z","updated_at":"2021-09-30T09:29:05.659Z","grant_id":90,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1145952","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2258","type":"fairsharing_records","attributes":{"created_at":"2016-01-05T19:57:37.000Z","updated_at":"2024-06-24T09:38:03.824Z","metadata":{"doi":"10.25504/FAIRsharing.9nns5e","name":"RegenBase","status":"deprecated","contacts":[{"contact_name":"Vance Lemmon","contact_email":"VLemmon@med.miami.edu","contact_orcid":"0000-0003-3550-7576"}],"homepage":"https://regenbase.org/","citations":[],"identifier":2258,"description":"RegenBase is a research project that applies informatics tools and methods to organize and interrogate experimental data generated by spinal cord injury (SCI) research, with the ultimate goal of translating SCI experimental findings in model organisms into human therapies. \n","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://regenbase.org/team--contact.html","name":"General Contact Form and Emails","type":"Contact form"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2024-06-24","deprecation_reason":"While the homepage is available, browsing and searching of data is non-functional (no values are returned). However, the maintainers are working on the issue and we will mark this resource as Ready once it is back up and running. Please let us know if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Only data from people within the research project can be submitted"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000732","bsg-d000732"],"name":"FAIRsharing record for: RegenBase","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9nns5e","doi":"10.25504/FAIRsharing.9nns5e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RegenBase is a research project that applies informatics tools and methods to organize and interrogate experimental data generated by spinal cord injury (SCI) research, with the ultimate goal of translating SCI experimental findings in model organisms into human therapies. \n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Medicine","Neurobiology","Biomedical Science","Translational Medicine"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics","Semantic","Spinal Cord","Spinal Cord Injury"],"countries":["United States"],"publications":[{"id":848,"pubmed_id":27055827,"title":"RegenBase: a knowledge base of spinal cord injury biology for translational research.","year":2016,"url":"http://doi.org/10.1093/database/baw040","authors":"Callahan A, Abeyruwan SW, Al-Ali H, Sakurai K, Ferguson AR, Popovich PG, Shah NH, Visser U, Bixby JL, Lemmon VP.","journal":"Database (Oxford)","doi":"10.1093/database/baw040","created_at":"2021-09-30T08:23:53.545Z","updated_at":"2021-09-30T08:23:53.545Z"}],"licence_links":[{"licence_name":"RegenBase Terms","licence_id":1074,"licence_url":"https://regenbase.org/terms-of-use.html","link_id":3340,"relation":"applies_to_content"}],"grants":[{"id":2150,"fairsharing_record_id":2258,"organisation_id":3093,"relation":"maintains","created_at":"2021-09-30T09:25:33.794Z","updated_at":"2023-09-21T13:37:53.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":3093,"name":"University of Miami School of Medicine, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2149,"fairsharing_record_id":2258,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:25:33.763Z","updated_at":"2021-09-30T09:25:33.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2152,"fairsharing_record_id":2258,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:33.876Z","updated_at":"2021-09-30T09:30:12.279Z","grant_id":597,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"HD057632","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2151,"fairsharing_record_id":2258,"organisation_id":3093,"relation":"funds","created_at":"2021-09-30T09:25:33.832Z","updated_at":"2021-09-30T09:31:01.955Z","grant_id":986,"is_lead":false,"saved_state":{"id":3093,"name":"University of Miami School of Medicine, USA","grant":"5R01NS080145-04","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2153,"fairsharing_record_id":2258,"organisation_id":2023,"relation":"funds","created_at":"2021-09-30T09:25:33.919Z","updated_at":"2021-09-30T09:29:21.436Z","grant_id":210,"is_lead":false,"saved_state":{"id":2023,"name":"National Institute of Neurological Disorders and Stroke","grant":"NS080145","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2154,"fairsharing_record_id":2258,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:33.957Z","updated_at":"2021-09-30T09:25:33.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10879,"fairsharing_record_id":2258,"organisation_id":1825,"relation":"maintains","created_at":"2023-09-21T13:37:53.481Z","updated_at":"2023-09-21T13:37:53.481Z","grant_id":null,"is_lead":true,"saved_state":{"id":1825,"name":"Miami Project to Cure Paralysis, Miami, FL, USA","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdkVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1eaab8a8d64380b47cf4e7225da663e6ba6bea24/1424801361.png?disposition=inline","exhaustive_licences":true}},{"id":"2269","type":"fairsharing_records","attributes":{"created_at":"2016-03-30T01:25:31.000Z","updated_at":"2022-07-20T11:35:26.587Z","metadata":{"doi":"10.25504/FAIRsharing.rbba3x","name":"Genetic Epidemiology Simulation Database","status":"deprecated","contacts":[{"contact_name":"Ren-Hua Chung","contact_email":"rchung@nhri.org.tw","contact_orcid":"0000-0002-9835-6333"}],"homepage":"http://gesdb.nhri.org.tw/","identifier":2269,"description":"GESDB is a platform for sharing simulation data and discussion of simulation techniques for human genetic studies. The database contains simulation scripts, simulated data, and documentations from published manuscripts. The forum provides a platform for Q\u0026A for the simulated data and exchanging simulation ideas. GESDB aims to promote transparency and efficiency in simulation studies for human genetic studies.","abbreviation":"GESDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://gesdb.nhri.org.tw/f","type":"Forum"},{"url":"http://gesdb.nhri.org.tw/user/list","type":"Mailing list"}],"year_creation":2015,"data_versioning":"not found","associated_tools":[{"url":"http://seqsimla.sourceforge.net","name":"SeqSIMLA 2"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000743","bsg-d000743"],"name":"FAIRsharing record for: Genetic Epidemiology Simulation Database","abbreviation":"GESDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rbba3x","doi":"10.25504/FAIRsharing.rbba3x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GESDB is a platform for sharing simulation data and discussion of simulation techniques for human genetic studies. The database contains simulation scripts, simulated data, and documentations from published manuscripts. The forum provides a platform for Q\u0026A for the simulated data and exchanging simulation ideas. GESDB aims to promote transparency and efficiency in simulation studies for human genetic studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12743}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Statistics","Life Science","Epidemiology"],"domains":["Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":330,"pubmed_id":27242038,"title":"GESDB: a platform of simulation resources for genetic epidemiology studies.","year":2016,"url":"http://doi.org/10.1093/database/baw082","authors":"Yao PJ, Chung RH","journal":"Database (Oxford)","doi":"10.1093/database/baw082","created_at":"2021-09-30T08:22:55.407Z","updated_at":"2021-09-30T08:22:55.407Z"}],"licence_links":[],"grants":[{"id":2190,"fairsharing_record_id":2269,"organisation_id":1996,"relation":"funds","created_at":"2021-09-30T09:25:35.107Z","updated_at":"2021-09-30T09:25:35.107Z","grant_id":null,"is_lead":false,"saved_state":{"id":1996,"name":"National Health Research Institutes (NIHR), Zhunan, Taiwan","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2262","type":"fairsharing_records","attributes":{"created_at":"2016-02-18T13:28:40.000Z","updated_at":"2023-12-15T10:31:49.579Z","metadata":{"doi":"10.25504/FAIRsharing.nnvcr9","name":"FAIRDOMHub","status":"ready","contacts":[{"contact_name":"FAIRDOM support","contact_email":"support@fair-dom.org"}],"homepage":"https://fairdomhub.org/","citations":[],"identifier":2262,"description":"The FAIRDOMHub is a publicly available repository build using the SEEK software, which enables collaborations within the scientific community. FAIRDOM will establish a support and service network for European Systems Biology. It will serve projects in standardizing, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable. FAIRDOM is an initiative to develop a community, and establish an internationally sustained Data and Model Management service to the European Systems Biology community. FAIRDOM is a joint action of ERA-Net EraSysAPP and European Research Infrastructure ISBE.","abbreviation":"FAIRDOMHub","data_curation":{"type":"none"},"support_links":[{"url":"support@fair-dom.org","type":"Support email"},{"url":"http://docs.seek4science.org/help/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://biostar.fair-dom.org/","type":"Forum"},{"url":"http://docs.seek4science.org/help/","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"http://docs.seek4science.org/","name":"SEEK 1.10.1"},{"url":"http://www.rightfield.org.uk/","name":"RightField 0.25"},{"url":"http://fair-dom.org/platform/openbis/","name":"openBIS 16.05"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011928","name":"re3data:r3d100011928","portal":"re3data"}],"data_access_condition":{"url":"https://seek4science.org/faq","type":"controlled","notes":"Access controlled availability of data"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000736","bsg-d000736"],"name":"FAIRsharing record for: FAIRDOMHub","abbreviation":"FAIRDOMHub","url":"https://fairsharing.org/10.25504/FAIRsharing.nnvcr9","doi":"10.25504/FAIRsharing.nnvcr9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The FAIRDOMHub is a publicly available repository build using the SEEK software, which enables collaborations within the scientific community. FAIRDOM will establish a support and service network for European Systems Biology. It will serve projects in standardizing, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable. FAIRDOM is an initiative to develop a community, and establish an internationally sustained Data and Model Management service to the European Systems Biology community. FAIRDOM is a joint action of ERA-Net EraSysAPP and European Research Infrastructure ISBE.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11365},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12251},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12740},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16722}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Molecular biology","Bioinformatics","Data Management","Proteomics","Biotechnology","Life Science","Metabolomics","Transcriptomics","Microbiology","Systems Biology"],"domains":["FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Netherlands","Switzerland","United Kingdom"],"publications":[{"id":1234,"pubmed_id":26978244,"title":"The FAIR Guiding Principles for scientific data management and stewardship.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.18","authors":"Wilkinson MD,Dumontier M,Aalbersberg IJ,Appleton G,Axton M,Baak A,Blomberg N,Boiten JW,da Silva Santos LB,Bourne PE,Bouwman J,Brookes AJ,Clark T,Crosas M,Dillo I,Dumon O,Edmunds S,Evelo CT,Finkers R,Gonzalez-Beltran A,Gray AJ,Groth P,Goble C,Grethe JS,Heringa J,'t Hoen PA,Hooft R,Kuhn T,Kok R,Kok J,Lusher SJ,Martone ME,Mons A,Packer AL,Persson B,Rocca-Serra P,Roos M,van Schaik R,Sansone SA,Schultes E,Sengstag T,Slater T,Strawn G,Swertz MA,Thompson M,van der Lei J,van Mulligen E,Velterop J,Waagmeester A,Wittenburg P,Wolstencroft K,Zhao J,Mons B","journal":"Sci Data","doi":"10.1038/sdata.2016.18","created_at":"2021-09-30T08:24:37.674Z","updated_at":"2021-09-30T08:24:37.674Z"},{"id":1962,"pubmed_id":26160520,"title":"SEEK: a systems biology data and model management platform.","year":2015,"url":"http://doi.org/10.1186/s12918-015-0174-y","authors":"Wolstencroft K,Owen S,Krebs O,Nguyen Q,Stanford NJ,Golebiewski M,Weidemann A,Bittkowski M,An L,Shockley D,Snoep JL,Mueller W,Goble C","journal":"BMC Syst Biol","doi":"10.1186/s12918-015-0174-y","created_at":"2021-09-30T08:26:00.793Z","updated_at":"2021-09-30T08:26:00.793Z"},{"id":1979,"pubmed_id":26508761,"title":"openBIS ELN-LIMS: an open-source database for academic laboratories.","year":2015,"url":"http://doi.org/10.1093/bioinformatics/btv606","authors":"Barillari C,Ottoz DS,Fuentes-Serna JM,Ramakrishnan C,Rinn B,Rudolf F","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btv606","created_at":"2021-09-30T08:26:02.682Z","updated_at":"2021-09-30T08:26:02.682Z"},{"id":2591,"pubmed_id":27899646,"title":"FAIRDOMHub: a repository and collaboration environment for sharing systems biology research.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1032","authors":"Wolstencroft K,Krebs O,Snoep JL,Stanford NJ,Bacall F,Golebiewski M,Kuzyakiv R,Nguyen Q,Owen S,Soiland-Reyes S,Straszewski J,van Niekerk DD,Williams AR,Malmstrom L,Rinn B,Muller W,Goble C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1032","created_at":"2021-09-30T08:27:17.926Z","updated_at":"2021-09-30T11:29:40.210Z"},{"id":2592,"pubmed_id":21943917,"title":"The SEEK: a platform for sharing data and models in systems biology.","year":2011,"url":"http://doi.org/10.1016/B978-0-12-385118-5.00029-3","authors":"Wolstencroft K,Owen S,du Preez F,Krebs O,Mueller W,Goble C,Snoep JL","journal":"Methods Enzymol","doi":"10.1016/B978-0-12-385118-5.00029-3","created_at":"2021-09-30T08:27:18.070Z","updated_at":"2021-09-30T08:27:18.070Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":647,"relation":"undefined"}],"grants":[{"id":2162,"fairsharing_record_id":2262,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:34.257Z","updated_at":"2021-09-30T09:25:34.257Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2165,"fairsharing_record_id":2262,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:34.339Z","updated_at":"2021-09-30T09:31:11.817Z","grant_id":1058,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M013189/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10020,"fairsharing_record_id":2262,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.990Z","updated_at":"2022-10-13T09:43:38.990Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":2163,"fairsharing_record_id":2262,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:25:34.289Z","updated_at":"2021-09-30T09:25:34.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2164,"fairsharing_record_id":2262,"organisation_id":1231,"relation":"maintains","created_at":"2021-09-30T09:25:34.313Z","updated_at":"2021-09-30T09:25:34.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1231,"name":"Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9372,"fairsharing_record_id":2262,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:33.935Z","updated_at":"2022-04-11T12:07:33.935Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZE09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--90c553cd6b3d1a6721d8d9e6b691dd5b178dda13/hub.png?disposition=inline","exhaustive_licences":false}},{"id":"2349","type":"fairsharing_records","attributes":{"created_at":"2016-10-18T11:54:44.000Z","updated_at":"2024-03-27T22:29:10.027Z","metadata":{"doi":"10.25504/FAIRsharing.dk451a","name":"MassBank Europe","status":"ready","contacts":[{"contact_name":"Tobias Schulze","contact_email":"tobias.schulze@ufz.de"}],"homepage":"https://massbank.eu/MassBank/","citations":[],"identifier":2349,"description":"MassBank is an open source mass spectral library for the identification of small chemical molecules of metabolomics, exposomics and environmental relevance. The vast majority of MassBank contents now features high-resolution mass spectrometry data, although all kinds of mass spectral data are accepted. ","abbreviation":"MassBank","data_curation":{"type":"not found"},"support_links":[{"url":"massbank@massbank.eu","name":"General contact","type":"Support email"},{"url":"http://massbank.jp/manuals/MassBankUserManual_en.pdf","name":"MassBank Users Manual","type":"Help documentation"},{"url":"https://github.com/MassBank/MassBank-web/blob/master/Documentation/MassBankRecordFormat.md","name":"Record Format","type":"Github"},{"url":"https://github.com/MassBank","name":"MassBank community on GitHub","type":"Github"},{"url":"https://zenodo.org/communities/massbankeu/?page=1\u0026size=20","name":"MassBank community on zenodo","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","associated_tools":[{"url":"https://metabolomics-usi.ucsd.edu/","name":"Metabolomics Spectrum Identifier Resolver Release 6.8"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011839","name":"re3data:r3d100011839","portal":"re3data"}],"data_access_condition":{"url":"https://massbank.eu/MassBank/About","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://massbank.github.io/MassBank-documentation/contributor_documentation.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000827","bsg-d000827"],"name":"FAIRsharing record for: MassBank Europe","abbreviation":"MassBank","url":"https://fairsharing.org/10.25504/FAIRsharing.dk451a","doi":"10.25504/FAIRsharing.dk451a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MassBank is an open source mass spectral library for the identification of small chemical molecules of metabolomics, exposomics and environmental relevance. The vast majority of MassBank contents now features high-resolution mass spectrometry data, although all kinds of mass spectral data are accepted. ","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11542},{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17777}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry","Life Science","Physics"],"domains":["Mass spectrum"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","European Union"],"publications":[{"id":1704,"pubmed_id":20623627,"title":"MassBank: a public repository for sharing mass spectral data for life sciences.","year":2010,"url":"http://doi.org/10.1002/jms.1777","authors":"Horai H et al.","journal":"J Mass Spectrom","doi":"10.1002/jms.1777","created_at":"2021-09-30T08:25:30.962Z","updated_at":"2021-09-30T08:25:30.962Z"}],"licence_links":[],"grants":[{"id":2331,"fairsharing_record_id":2349,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:25:40.293Z","updated_at":"2021-09-30T09:25:40.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2334,"fairsharing_record_id":2349,"organisation_id":1701,"relation":"funds","created_at":"2021-09-30T09:25:40.372Z","updated_at":"2021-09-30T09:25:40.372Z","grant_id":null,"is_lead":false,"saved_state":{"id":1701,"name":"Leibniz Institute of Plant Biochemistry, Halle, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2330,"fairsharing_record_id":2349,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:25:40.260Z","updated_at":"2021-09-30T09:25:40.260Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2333,"fairsharing_record_id":2349,"organisation_id":2178,"relation":"maintains","created_at":"2021-09-30T09:25:40.343Z","updated_at":"2021-09-30T09:25:40.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":2178,"name":"NORMAN network","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":11525,"fairsharing_record_id":2349,"organisation_id":1378,"relation":"funds","created_at":"2024-03-21T13:58:01.587Z","updated_at":"2024-03-21T13:58:01.587Z","grant_id":null,"is_lead":false,"saved_state":{"id":1378,"name":"Institute for Bioinformatics Research and Development, Japan Science and Technology Agency","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9339,"fairsharing_record_id":2349,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.528Z","updated_at":"2022-04-11T12:07:31.547Z","grant_id":1756,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031L0107","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVFFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--81efbd13c46e704e94fbe97fb612796d4f2963bd/Screenshot%20from%202024-03-27%2021-44-45.png?disposition=inline","exhaustive_licences":false}},{"id":"2350","type":"fairsharing_records","attributes":{"created_at":"2016-10-21T15:24:30.000Z","updated_at":"2023-12-15T10:33:09.313Z","metadata":{"doi":"10.25504/FAIRsharing.jhjnp0","name":"Database of local DNA conformers","status":"ready","contacts":[{"contact_name":"Daniel Svozil","contact_email":"daniel.svozil@vscht.cz","contact_orcid":"0000-0003-2577-5163"}],"homepage":"http://ich.vscht.cz/projects/dolce/viewHome","citations":[],"identifier":2350,"description":"Dolce is a database of DNA structure motifs based on an automatic classification method consisting of the combination of supervised and unsupervised approaches. This workflow has been applied to analyze 816 X-ray and 664 NMR DNA structures released till February 2013. Dinucleotides with unassigned conformations are either classified into one of already known 24 classes or into one of six new classes among so far unclassifiable data, which were newly identified and annotated among X-ray structures by authors of this tool.","abbreviation":"Dolce","data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"no","data_access_condition":{"url":"https://smlouvy.gov.cz/smlouva/soubor/8815411/Dodatek1SML5200001015.pdf","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000828","bsg-d000828"],"name":"FAIRsharing record for: Database of local DNA conformers","abbreviation":"Dolce","url":"https://fairsharing.org/10.25504/FAIRsharing.jhjnp0","doi":"10.25504/FAIRsharing.jhjnp0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dolce is a database of DNA structure motifs based on an automatic classification method consisting of the combination of supervised and unsupervised approaches. This workflow has been applied to analyze 816 X-ray and 664 NMR DNA structures released till February 2013. Dinucleotides with unassigned conformations are either classified into one of already known 24 classes or into one of six new classes among so far unclassifiable data, which were newly identified and annotated among X-ray structures by authors of this tool.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1667,"pubmed_id":23800225,"title":"Automatic workflow for the classification of local DNA conformations.","year":2013,"url":"http://doi.org/10.1186/1471-2105-14-205","authors":"Cech P,Kukal J,Cerny J,Schneider B,Svozil D","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-14-205","created_at":"2021-09-30T08:25:26.737Z","updated_at":"2021-09-30T08:25:26.737Z"}],"licence_links":[],"grants":[{"id":8062,"fairsharing_record_id":2350,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:30:43.204Z","updated_at":"2021-09-30T09:30:43.262Z","grant_id":838,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"MSM 6046137306","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2335,"fairsharing_record_id":2350,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:25:40.412Z","updated_at":"2021-09-30T09:30:43.040Z","grant_id":837,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"MSM 6046137302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2336,"fairsharing_record_id":2350,"organisation_id":633,"relation":"funds","created_at":"2021-09-30T09:25:40.444Z","updated_at":"2021-09-30T09:32:20.680Z","grant_id":1576,"is_lead":false,"saved_state":{"id":633,"name":"Czech Science Foundation (GACR), Czech Republic","grant":"P305/12/1801","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2351","type":"fairsharing_records","attributes":{"created_at":"2016-10-21T17:32:37.000Z","updated_at":"2023-12-15T10:33:04.686Z","metadata":{"doi":"10.25504/FAIRsharing.pcs58g","name":"GrainGenes, a Database for Triticeae and Avena","status":"ready","contacts":[{"contact_name":"GrainGenes Feedback","contact_email":"curator@wheat.pw.usda.gov"}],"homepage":"https://wheat.pw.usda.gov/GG3/","citations":[{"doi":"10.1093/database/baac034","pubmed_id":null,"publication_id":3888}],"identifier":2351,"description":"The GrainGenes website hosts a wealth of information for researchers working on Triticeae species, oat and their wild relatives. The website hosts a database encompassing information such as genetic maps, genes, alleles, genetic markers, phenotypic data, quantitative trait loci studies, experimental protocols and publications. The database can be queried by text searches, browsing, Boolean queries, MySQL commands, or by using pre-made queries created by the curators. GrainGenes is not solely a database, but serves as an informative site for researchers and a means to communicate project aims, outcomes and a forum for discussion.","abbreviation":"GrainGenes","data_curation":{"url":"https://wheat.pw.usda.gov/GG3/about","type":"manual/automated"},"support_links":[{"url":"http://wheat.pw.usda.gov/GG3/feedback/","type":"Help documentation"},{"url":"http://graingenes.org/grains.welcome.html","type":"Mailing list"},{"url":"http://wheat.pw.usda.gov/GG3/db-info","type":"Help documentation"}],"year_creation":1992,"data_versioning":"yes","associated_tools":[{"url":"http://probes.pw.usda.gov/GSP/","name":"GSP: Genome Specific Primers"},{"url":"http://wheat.pw.usda.gov/GG3/blast","name":"BLAST 2.2.23"},{"url":"http://wheat.pw.usda.gov/cmap/","name":"CMap 1.01"},{"url":"http://wheat.pw.usda.gov/GG3/genome_browser","name":"JBrowse Genome Browser 1.69"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012363","name":"re3data:r3d100012363","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007696","name":"SciCrunch:RRID:SCR_007696","portal":"SciCrunch"}],"data_access_condition":{"url":"https://graingenes.org/GG3/graingenes-data-downloads","type":"open"},"resource_sustainability":{"url":"https://wheat.pw.usda.gov/GG3/about","name":"Funded by the U.S. Department of Agriculture-Agricultural Research Service to ensure long-term data sustainability."},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://wheat.pw.usda.gov/GG3/submit_to_graingenes","type":"open","notes":"The Small Grains Community is invited to submit data and images."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000829","bsg-d000829"],"name":"FAIRsharing record for: GrainGenes, a Database for Triticeae and Avena","abbreviation":"GrainGenes","url":"https://fairsharing.org/10.25504/FAIRsharing.pcs58g","doi":"10.25504/FAIRsharing.pcs58g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GrainGenes website hosts a wealth of information for researchers working on Triticeae species, oat and their wild relatives. The website hosts a database encompassing information such as genetic maps, genes, alleles, genetic markers, phenotypic data, quantitative trait loci studies, experimental protocols and publications. The database can be queried by text searches, browsing, Boolean queries, MySQL commands, or by using pre-made queries created by the curators. GrainGenes is not solely a database, but serves as an informative site for researchers and a means to communicate project aims, outcomes and a forum for discussion.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11622},{"linking_record_name":"Wheat Data Interoperability Guidelines","linking_record_id":3529,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11873}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science","Phenomics"],"domains":["Genetic map","Physical map","Genome map","Deoxyribonucleic acid","Publication","Genetic polymorphism","Protocol","Quantitative trait loci","Allele"],"taxonomies":["Aegilops tauschii","Avena","Hordeum","Hordeum vulgare","Secale","Triticeae","Triticum","Triticum aestivum","Triticum monococcum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":790,"pubmed_id":null,"title":"GrainGenes: a Genomic Database for Triticeae and Avena","year":2007,"url":"http://doi.org/10.1007/978-1-59745-535-0_14","authors":"Helen O'Sullivan","journal":"Plant Bioinformatics","doi":"10.1007/978-1-59745-535-0_14","created_at":"2021-09-30T08:23:47.070Z","updated_at":"2021-09-30T08:23:47.070Z"},{"id":1769,"pubmed_id":null,"title":"GrainGenes 2.0. An Improved Resource for the Small-Grains Community","year":2005,"url":"https://academic.oup.com/plphys/article/139/2/643/6113422","authors":"Victoria Carollo, David E. Matthews, Gerard R. Lazo, Thomas K. Blake, David D. Hummel, Nancy Lui, David L. Hane, and Olin D. Anderson","journal":"Plant Physiology","doi":"10.1104/pp.105.064485","created_at":"2021-09-30T08:25:38.494Z","updated_at":"2021-09-30T08:25:38.494Z"},{"id":3888,"pubmed_id":null,"title":"GrainGenes: a data-rich repository for small grains genetics and genomics","year":2022,"url":"http://dx.doi.org/10.1093/database/baac034","authors":"Yao, Eric; Blake, Victoria C; Cooper, Laurel; Wight, Charlene P; Michel, Steve; Cagirici, H Busra; Lazo, Gerard R; Birkett, Clay L; Waring, David J; Jannink, Jean-Luc; Holmes, Ian; Waters, Amanda J; Eickholt, David P; Sen, Taner Z; ","journal":"Database","doi":"10.1093/database/baac034","created_at":"2023-06-05T09:03:00.246Z","updated_at":"2023-06-05T09:03:00.246Z"}],"licence_links":[],"grants":[{"id":2337,"fairsharing_record_id":2351,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:25:40.482Z","updated_at":"2021-09-30T09:25:40.482Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2352","type":"fairsharing_records","attributes":{"created_at":"2016-10-25T09:58:43.000Z","updated_at":"2024-03-20T13:00:20.023Z","metadata":{"doi":"10.25504/FAIRsharing.sv2rm8","name":"TissueNet ","status":"ready","contacts":[{"contact_name":"Esti Yeger-L","contact_email":"estiyl@bgu.ac.il","contact_orcid":"0000-0002-8279-7898"}],"homepage":"https://netbio.bgu.ac.il/tissuenet3/","citations":[{"doi":"10.1016/j.jmb.2022.167532","pubmed_id":35662455,"publication_id":3827}],"identifier":2352,"description":"Knowledge of the molecular interactions of human proteins within tissues is important for identifying their tissue-specific roles and for shedding light on tissue phenotypes. However, many protein-protein interactions (PPIs) have no tissue-contexts. The TissueNet database bridges this gap by associating experimentally-identified PPIs with human tissues that were shown to express both pair-mates. Users can select a protein and a tissue, and obtain a network view of the query protein and its tissue-associated PPIs. TissueNet v.2 is an updated version of the TissueNet database previously featured in NAR. It includes over 40 human tissues profiled via RNA-sequencing or protein-based assays. Users can select their preferred expression data source and interactively set the expression threshold for determining tissue-association. The output of TissueNet v.2 underlines qualitative and quantitative features of query proteins and their PPIs. The tissue-specificity view highlights tissue-specific and globally-expressed proteins, and the quantitative view highlights proteins that were differentially expressed in the selected tissue relative to all other tissues. Together, these views allow users to quickly assess the unique versus global functionality of query proteins. Thus, TissueNet v.2 offers an extensive, quantitative and user-friendly interface to study the roles of human proteins across tissues.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://netbio.bgu.ac.il/tissuenet3/#FAQ","name":"Database FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://netbio.bgu.ac.il/labwebsite/the-tissuenet-v-3-database-tutorial/","name":"Tutorial","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000831","bsg-d000831"],"name":"FAIRsharing record for: TissueNet ","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.sv2rm8","doi":"10.25504/FAIRsharing.sv2rm8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Knowledge of the molecular interactions of human proteins within tissues is important for identifying their tissue-specific roles and for shedding light on tissue phenotypes. However, many protein-protein interactions (PPIs) have no tissue-contexts. The TissueNet database bridges this gap by associating experimentally-identified PPIs with human tissues that were shown to express both pair-mates. Users can select a protein and a tissue, and obtain a network view of the query protein and its tissue-associated PPIs. TissueNet v.2 is an updated version of the TissueNet database previously featured in NAR. It includes over 40 human tissues profiled via RNA-sequencing or protein-based assays. Users can select their preferred expression data source and interactively set the expression threshold for determining tissue-association. The output of TissueNet v.2 underlines qualitative and quantitative features of query proteins and their PPIs. The tissue-specificity view highlights tissue-specific and globally-expressed proteins, and the quantitative view highlights proteins that were differentially expressed in the selected tissue relative to all other tissues. Together, these views allow users to quickly assess the unique versus global functionality of query proteins. Thus, TissueNet v.2 offers an extensive, quantitative and user-friendly interface to study the roles of human proteins across tissues.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Protein interaction","Protein expression","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":1713,"pubmed_id":23193266,"title":"The TissueNet database of human tissue protein-protein interactions.","year":2012,"url":"http://doi.org/10.1093/nar/gks1198","authors":"Ruth Barshir, Omer Basha, Amir Eluk, Ilan Y. Smoly, Alexander Lan and Esti Yeger-Lotem","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1198","created_at":"2021-09-30T08:25:31.939Z","updated_at":"2021-09-30T08:25:31.939Z"},{"id":3827,"pubmed_id":35662455,"title":"The TissueNet v.3 Database: Protein-protein Interactions in Adult and Embryonic Human Tissue contexts.","year":2022,"url":"https://doi.org/10.1016/j.jmb.2022.167532","authors":"Ziv M, Gruber G, Sharon M, Vinogradov E, Yeger-Lotem E","journal":"Journal of molecular biology","doi":"10.1016/j.jmb.2022.167532","created_at":"2023-03-24T15:09:59.205Z","updated_at":"2023-03-24T15:09:59.205Z"},{"id":3828,"pubmed_id":null,"title":"The TissueNet v.2 database: A quantitative view of protein-protein interactions across human tissues","year":2016,"url":"http://dx.doi.org/10.1093/nar/gkw1088","authors":"Basha, Omer; Barshir, Ruth; Sharon, Moran; Lerman, Eugene; Kirson, Binyamin F.; Hekselman, Idan; Yeger-Lotem, Esti; ","journal":"Nucleic Acids Res","doi":"10.1093/nar/gkw1088","created_at":"2023-03-24T15:10:29.034Z","updated_at":"2023-03-24T15:10:29.034Z"}],"licence_links":[],"grants":[{"id":2338,"fairsharing_record_id":2352,"organisation_id":200,"relation":"maintains","created_at":"2021-09-30T09:25:40.524Z","updated_at":"2024-03-20T12:54:47.161Z","grant_id":null,"is_lead":true,"saved_state":{"id":200,"name":"Ben-Gurion University of the Negev, Israel","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdndEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7cca2064157b73f8c78f734477b2e1d2e074f8a1/Screenshot%20from%202024-03-20%2012-53-50.png?disposition=inline","exhaustive_licences":false}},{"id":"2366","type":"fairsharing_records","attributes":{"created_at":"2016-11-23T00:12:38.000Z","updated_at":"2023-12-15T10:32:24.986Z","metadata":{"doi":"10.25504/FAIRsharing.pj6a0t","name":"Hepatitis C Virus Ires Variation Database","status":"ready","contacts":[{"contact_email":"info@hcvivdb.org"}],"homepage":"http://www.hcvivdb.org/","identifier":2366,"description":"HCVIVdb is a database of published variations observed within the internal ribosome entry site (IRES) of the hepatitis C Virus.","abbreviation":"HCVIVdb","data_curation":{"type":"not found"},"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"http://www.hcvivdb.org/search.php","name":"Search"},{"url":"http://www.hcvivdb.org/browse.php","name":"Browse"},{"url":"http://www.hcvivdb.org/submit.php","name":"Submit Data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.hcvivdb.org/submit.php","type":"open","notes":"The submit entry feature is currently disabled. It will be enabled on full release and publication of the database."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000845","bsg-d000845"],"name":"FAIRsharing record for: Hepatitis C Virus Ires Variation Database","abbreviation":"HCVIVdb","url":"https://fairsharing.org/10.25504/FAIRsharing.pj6a0t","doi":"10.25504/FAIRsharing.pj6a0t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HCVIVdb is a database of published variations observed within the internal ribosome entry site (IRES) of the hepatitis C Virus.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Computational biological predictions","Promoter","Internal ribosome entry site"],"taxonomies":["Hepatitis C virus"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1855,"pubmed_id":27527702,"title":"HCVIVdb: The hepatitis-C IRES variation database","year":2016,"url":"http://doi.org/10.1186/s12866-016-0804-6","authors":"Floden E.W., Khavaja A., Vopálenský V., Pospíšek M.","journal":"BMC Microbiology","doi":"10.1186/s12866-016-0804-6","created_at":"2021-09-30T08:25:48.398Z","updated_at":"2021-09-30T08:25:48.398Z"}],"licence_links":[],"grants":[{"id":2373,"fairsharing_record_id":2366,"organisation_id":840,"relation":"funds","created_at":"2021-09-30T09:25:41.778Z","updated_at":"2021-09-30T09:25:41.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2372,"fairsharing_record_id":2366,"organisation_id":1680,"relation":"maintains","created_at":"2021-09-30T09:25:41.752Z","updated_at":"2021-09-30T09:25:41.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":1680,"name":"Laboratory of RNA Biochemistry, Department of Genetics and Microbiology, Prague, Czech Republic","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2338","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T09:29:53.000Z","updated_at":"2023-06-09T06:55:54.978Z","metadata":{"doi":"10.25504/FAIRsharing.x6nr7d","name":"Tropical Data Hub","status":"deprecated","contacts":[{"contact_name":"Belinda Weaver","contact_email":"b.weaver@qcif.edu.au"}],"homepage":"https://tropicaldatahub.org/","citations":[],"identifier":2338,"description":"The Tropical Data Hub (TDH) is an open portal enabling researchers to submit information relating to the tropics in an open and collaborative way. The TDH complements existing data repositories and will come to be acknowledged as the definitive source of information relating to the tropics, both within Australia and internationally. The information available through within the TDH relates to the physical and natural environment, societies and communities (e.g. linguistic and cultural data), and economies. The use of metadata will ensure that the TDH is readily accessible to governments, researchers and the business sector.","abbreviation":"TDH","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2023-06-08","deprecation_reason":"This resource has been deprecated. However, the TDH provided metadata harvesting to RDA, and that information is still available from the RDA. All DOIs now resolve to landing pages in Research Data JCU, but currently there is no publicly-searchable data portal.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000816","bsg-d000816"],"name":"FAIRsharing record for: Tropical Data Hub","abbreviation":"TDH","url":"https://fairsharing.org/10.25504/FAIRsharing.x6nr7d","doi":"10.25504/FAIRsharing.x6nr7d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Tropical Data Hub (TDH) is an open portal enabling researchers to submit information relating to the tropics in an open and collaborative way. The TDH complements existing data repositories and will come to be acknowledged as the definitive source of information relating to the tropics, both within Australia and internationally. The information available through within the TDH relates to the physical and natural environment, societies and communities (e.g. linguistic and cultural data), and economies. The use of metadata will ensure that the TDH is readily accessible to governments, researchers and the business sector.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11251}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Population Genetics"],"domains":["Tropical","Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":2308,"fairsharing_record_id":2338,"organisation_id":1583,"relation":"maintains","created_at":"2021-09-30T09:25:39.433Z","updated_at":"2021-09-30T09:25:39.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":1583,"name":"James Cook University, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2307,"fairsharing_record_id":2338,"organisation_id":2394,"relation":"funds","created_at":"2021-09-30T09:25:39.410Z","updated_at":"2021-09-30T09:25:39.410Z","grant_id":null,"is_lead":false,"saved_state":{"id":2394,"name":"Queensland Cyber Infrastructure Foundation (QCIF), Australia","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2309,"fairsharing_record_id":2338,"organisation_id":142,"relation":"maintains","created_at":"2021-09-30T09:25:39.458Z","updated_at":"2021-09-30T09:25:39.458Z","grant_id":null,"is_lead":false,"saved_state":{"id":142,"name":"Australian National Data Service (ANDS), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2339","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T09:59:11.000Z","updated_at":"2023-03-14T16:06:30.936Z","metadata":{"doi":"10.25504/FAIRsharing.pt7qd6","name":"Banana21","status":"deprecated","contacts":[{"contact_name":"Contact enquiries","contact_email":"ctcbenquiries@qut.edu.au"}],"homepage":"http://www.banana21.org/","citations":[],"identifier":2339,"description":"The vast majority of the bananas currently grown and consumed were not conventionally bred but are selections made over probably thousands of years from naturally occurring hybrids. Cultivated bananas are very nearly sterile and as a consequence are not propagated from seed but rather through vegetative propagation, primarily suckers as well as more recently micropropagated or tissue cultured bananas. These factors, very old selections, near sterility and vegetative propagation, mean that these bananas have not been genetically improved either for resistance or improved quality and are becoming increasing in affected by serious pests and diseases.","abbreviation":"Banana21","data_curation":{"type":"not found"},"support_links":[{"url":"http://sefapps02.qut.edu.au/helppage/helppage.php","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is now a project homepage, and as such is not within our remit.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000817","bsg-d000817"],"name":"FAIRsharing record for: Banana21","abbreviation":"Banana21","url":"https://fairsharing.org/10.25504/FAIRsharing.pt7qd6","doi":"10.25504/FAIRsharing.pt7qd6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The vast majority of the bananas currently grown and consumed were not conventionally bred but are selections made over probably thousands of years from naturally occurring hybrids. Cultivated bananas are very nearly sterile and as a consequence are not propagated from seed but rather through vegetative propagation, primarily suckers as well as more recently micropropagated or tissue cultured bananas. These factors, very old selections, near sterility and vegetative propagation, mean that these bananas have not been genetically improved either for resistance or improved quality and are becoming increasing in affected by serious pests and diseases.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11252}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Agriculture"],"domains":["Food"],"taxonomies":["Musa","Musa acuminata","Musa balbisiana"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1653,"pubmed_id":23555698,"title":"De novo transcriptome sequence assembly and analysis of RNA silencing genes of Nicotiana benthamiana.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0059534","authors":"Nakasugi K,Crowhurst RN,Bally J,Wood CC,Hellens RP,Waterhouse PM","journal":"PLoS One","doi":"10.1371/journal.pone.0059534","created_at":"2021-09-30T08:25:25.195Z","updated_at":"2021-09-30T08:25:25.195Z"}],"licence_links":[{"licence_name":"Queensland University of Technology Copyright Statement","licence_id":695,"licence_url":"https://www.qut.edu.au/additional/copyright","link_id":1363,"relation":"undefined"}],"grants":[{"id":2310,"fairsharing_record_id":2339,"organisation_id":2396,"relation":"maintains","created_at":"2021-09-30T09:25:39.489Z","updated_at":"2021-09-30T09:25:39.489Z","grant_id":null,"is_lead":false,"saved_state":{"id":2396,"name":"Queensland University of Technology (QUT), Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2340","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T10:06:22.000Z","updated_at":"2023-06-23T10:35:07.733Z","metadata":{"doi":"10.25504/FAIRsharing.d1cs3q","name":"BenthGenome","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"ctcbenquiries@qut.edu.au"}],"homepage":"http://benthgenome.qut.edu.au/","identifier":2340,"description":"Nicotiana benthamiana originates from the remote regions of northern Australia. It is used extensively in laboratories around the world for many types of research including metabolic engineering, plant-microbe interactions, RNAi, vaccine production and functional genomics. This site aims to provide easy access to our latest genome and transcriptome assemblies of both laboratory and wild strains of Nicotiana benthamiana.","abbreviation":"BenthGenome","data_curation":{"type":"not found"},"support_links":[{"url":"http://sefapps02.qut.edu.au/helppage/helppage.php","name":"Help Pages","type":"Help documentation"},{"url":"http://sefapps02.qut.edu.au/benWeb/subpages/strategy.php","name":"Information Pages","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"http://sefapps02.qut.edu.au/blast/blast_link.cgi","name":"BLAST Version 5"},{"url":"http://sefapps02.qut.edu.au/blast/blast_link2.cgi","name":"BLAST Version 6"},{"url":"http://sefapps02.qut.edu.au/atlas/tREX6.php","name":"Gene Expression Atlas 6"},{"url":"http://sefapps02.qut.edu.au/babelfish/babelfish_gI.php","name":"Benth Babelfish"},{"url":"http://benthgenome.qut.edu.au/tools/toolpage.php","name":"Benth Toolkit"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"controlled","notes":"Restricted to people from QUT and associates"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000818","bsg-d000818"],"name":"FAIRsharing record for: BenthGenome","abbreviation":"BenthGenome","url":"https://fairsharing.org/10.25504/FAIRsharing.d1cs3q","doi":"10.25504/FAIRsharing.d1cs3q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Nicotiana benthamiana originates from the remote regions of northern Australia. It is used extensively in laboratories around the world for many types of research including metabolic engineering, plant-microbe interactions, RNAi, vaccine production and functional genomics. This site aims to provide easy access to our latest genome and transcriptome assemblies of both laboratory and wild strains of Nicotiana benthamiana.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11253},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12760}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genomics","Life Science","Transcriptomics"],"domains":["RNA interference","Vaccine"],"taxonomies":["Nicotiana benthamiana"],"user_defined_tags":["Plant-microbe interactions"],"countries":["Australia","New Zealand"],"publications":[{"id":1653,"pubmed_id":23555698,"title":"De novo transcriptome sequence assembly and analysis of RNA silencing genes of Nicotiana benthamiana.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0059534","authors":"Nakasugi K,Crowhurst RN,Bally J,Wood CC,Hellens RP,Waterhouse PM","journal":"PLoS One","doi":"10.1371/journal.pone.0059534","created_at":"2021-09-30T08:25:25.195Z","updated_at":"2021-09-30T08:25:25.195Z"},{"id":1963,"pubmed_id":28231340,"title":"The widely used Nicotiana benthamiana 16c line has an unusual T-DNA integration pattern including a transposon sequence.","year":2017,"url":"http://doi.org/10.1371/journal.pone.0171311","authors":"Philips JG,Naim F,Lorenc MT,Dudley KJ,Hellens RP,Waterhouse PM","journal":"PLoS One","doi":"10.1371/journal.pone.0171311","created_at":"2021-09-30T08:26:00.907Z","updated_at":"2021-09-30T08:26:00.907Z"}],"licence_links":[{"licence_name":"Copyright Queensland University of Technology","licence_id":149,"licence_url":"http://www.banana21.org/about.html","link_id":1365,"relation":"undefined"}],"grants":[{"id":2311,"fairsharing_record_id":2340,"organisation_id":2396,"relation":"maintains","created_at":"2021-09-30T09:25:39.531Z","updated_at":"2021-09-30T09:25:39.531Z","grant_id":null,"is_lead":false,"saved_state":{"id":2396,"name":"Queensland University of Technology (QUT), Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2312,"fairsharing_record_id":2340,"organisation_id":2751,"relation":"maintains","created_at":"2021-09-30T09:25:39.572Z","updated_at":"2021-09-30T09:25:39.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":2751,"name":"The Centre for Tropical Crops and Biocommodities, Queensland University of Technology (QUT)","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2341","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T11:36:30.000Z","updated_at":"2023-12-15T10:31:23.587Z","metadata":{"doi":"10.25504/FAIRsharing.8yqqm4","name":"WheatGenome.info","status":"ready","contacts":[{"contact_name":"Dave Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://www.wheatgenome.info/wheat_genome_databases.php","identifier":2341,"description":"An integrated database and portal for wheat genome information.","abbreviation":"WheatGenome.info","data_curation":{"type":"manual/automated"},"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000819","bsg-d000819"],"name":"FAIRsharing record for: WheatGenome.info","abbreviation":"WheatGenome.info","url":"https://fairsharing.org/10.25504/FAIRsharing.8yqqm4","doi":"10.25504/FAIRsharing.8yqqm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated database and portal for wheat genome information.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11254}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Triticum"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1646,"pubmed_id":22009731,"title":"WheatGenome.info: an integrated database and portal for wheat genome information.","year":2011,"url":"http://doi.org/10.1093/pcp/pcr141","authors":"Lai K,Berkman PJ,Lorenc MT,Duran C,Smits L,Manoli S,Stiller J,Edwards D","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcr141","created_at":"2021-09-30T08:25:24.379Z","updated_at":"2021-09-30T08:25:24.379Z"}],"licence_links":[],"grants":[{"id":2315,"fairsharing_record_id":2341,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:25:39.676Z","updated_at":"2021-09-30T09:25:39.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2313,"fairsharing_record_id":2341,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:25:39.611Z","updated_at":"2021-09-30T09:25:39.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2314,"fairsharing_record_id":2341,"organisation_id":828,"relation":"maintains","created_at":"2021-09-30T09:25:39.645Z","updated_at":"2021-09-30T09:25:39.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":828,"name":"Edwards Group, University of Western Australia, Perth, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2342","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T14:44:06.000Z","updated_at":"2023-07-11T07:35:51.580Z","metadata":{"doi":"10.25504/FAIRsharing.p7btsb","name":"CropPAL","status":"deprecated","contacts":[{"contact_name":"Dave Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://crop-pal.org/","citations":[],"identifier":2342,"description":"The compendium of crop Proteins with Annotated Locations (cropPAL) collates more than 550 data sets from previously published fluorescent tagging or mass spectrometry studies and eight pre-computed subcellular predictions for barley, wheat, rice and maize proteomes. The data collection including metadata for proteins and studies can be accessed through the search portal. The reciprocal blast and EnsemblPLants homology tree allows the search for location data across the four crop species as well as compares it to Arabidopsis data from SUBA.\n","abbreviation":"CropPAL","data_curation":{"url":"https://croppal.org/aboutcropPAL2.html","type":"manual/automated"},"support_links":[{"url":"http://crop-pal.org/Tutorialv1.2.pdf","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011637","name":"re3data:r3d100011637","portal":"re3data"}],"deprecation_date":"2023-07-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000820","bsg-d000820"],"name":"FAIRsharing record for: CropPAL","abbreviation":"CropPAL","url":"https://fairsharing.org/10.25504/FAIRsharing.p7btsb","doi":"10.25504/FAIRsharing.p7btsb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The compendium of crop Proteins with Annotated Locations (cropPAL) collates more than 550 data sets from previously published fluorescent tagging or mass spectrometry studies and eight pre-computed subcellular predictions for barley, wheat, rice and maize proteomes. The data collection including metadata for proteins and studies can be accessed through the search portal. The reciprocal blast and EnsemblPLants homology tree allows the search for location data across the four crop species as well as compares it to Arabidopsis data from SUBA.\n","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11255}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Agriculture"],"domains":["Mass spectrum","Cellular localization","Protein"],"taxonomies":["Hordeum vulgare","Oryza sativa","Triticum aestivum","Zea mays"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1658,"pubmed_id":26556651,"title":"Finding the Subcellular Location of Barley, Wheat, Rice and Maize Proteins: The Compendium of Crop Proteins with Annotated Locations (cropPAL).","year":2015,"url":"http://doi.org/10.1093/pcp/pcv170","authors":"Hooper CM,Castleden IR,Aryamanesh N,Jacoby RP,Millar AH","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcv170","created_at":"2021-09-30T08:25:25.711Z","updated_at":"2021-09-30T08:25:25.711Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":371,"relation":"undefined"}],"grants":[{"id":2318,"fairsharing_record_id":2342,"organisation_id":828,"relation":"maintains","created_at":"2021-09-30T09:25:39.773Z","updated_at":"2021-09-30T09:25:39.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":828,"name":"Edwards Group, University of Western Australia, Perth, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2316,"fairsharing_record_id":2342,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:39.701Z","updated_at":"2021-09-30T09:25:39.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2317,"fairsharing_record_id":2342,"organisation_id":106,"relation":"funds","created_at":"2021-09-30T09:25:39.730Z","updated_at":"2021-09-30T09:25:39.730Z","grant_id":null,"is_lead":false,"saved_state":{"id":106,"name":"ARC Centres of Excellence","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2319,"fairsharing_record_id":2342,"organisation_id":142,"relation":"maintains","created_at":"2021-09-30T09:25:39.810Z","updated_at":"2021-09-30T09:25:39.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":142,"name":"Australian National Data Service (ANDS), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2343","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T15:03:45.000Z","updated_at":"2023-12-15T10:32:42.029Z","metadata":{"doi":"10.25504/FAIRsharing.kvee9e","name":"Chickpea Portal","status":"ready","contacts":[{"contact_name":"Dave Edwards","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://www.cicer.info/databases.php","identifier":2343,"description":"This resource contains genome and gene sequences, features and isolationed chromosome alignments, while functional annotation can be searched in GBrowse. Chickpea forms a critical component of the Australian and Indian farming system, offering offer a high value alternative to cereals, an important disease break, opportunities for grass weed control and respite from high nitrogen application.","abbreviation":"Chickpea Portal","data_curation":{"url":"http://www.cicer.info/databases.php","type":"automated","notes":"The genome is functionnally annotated."},"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"http://www.cicer.info/cgi-bin/gb2/gbrowse/","name":"Chickpea GBrowse"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000821","bsg-d000821"],"name":"FAIRsharing record for: Chickpea Portal","abbreviation":"Chickpea Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.kvee9e","doi":"10.25504/FAIRsharing.kvee9e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This resource contains genome and gene sequences, features and isolationed chromosome alignments, while functional annotation can be searched in GBrowse. Chickpea forms a critical component of the Australian and Indian farming system, offering offer a high value alternative to cereals, an important disease break, opportunities for grass weed control and respite from high nitrogen application.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11256}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics"],"domains":["DNA sequence data","Annotation","Genome"],"taxonomies":["Cicer arietinum"],"user_defined_tags":[],"countries":["Australia","India"],"publications":[],"licence_links":[],"grants":[{"id":2321,"fairsharing_record_id":2343,"organisation_id":136,"relation":"funds","created_at":"2021-09-30T09:25:39.890Z","updated_at":"2021-09-30T09:25:39.890Z","grant_id":null,"is_lead":false,"saved_state":{"id":136,"name":"Australia-India Strategic Research Fund (AISRF), Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2320,"fairsharing_record_id":2343,"organisation_id":828,"relation":"maintains","created_at":"2021-09-30T09:25:39.848Z","updated_at":"2021-09-30T09:25:39.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":828,"name":"Edwards Group, University of Western Australia, Perth, Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2322,"fairsharing_record_id":2343,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:25:39.931Z","updated_at":"2021-09-30T09:25:39.931Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2344","type":"fairsharing_records","attributes":{"created_at":"2016-10-11T15:13:46.000Z","updated_at":"2023-12-15T10:31:35.157Z","metadata":{"doi":"10.25504/FAIRsharing.mzk12n","name":"Brassica Genome","status":"ready","contacts":[{"contact_name":"Dave Andrews","contact_email":"dave.edwards@uq.edu.au"}],"homepage":"http://www.brassicagenome.net/details.php","identifier":2344,"description":"This site hosts Brassica genome databases.","abbreviation":"Brassica Genome","data_curation":{"url":"http://www.brassicagenome.net/databases.php","type":"automated","notes":"All genomes are automatically annotated."},"year_creation":2010,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000822","bsg-d000822"],"name":"FAIRsharing record for: Brassica Genome","abbreviation":"Brassica Genome","url":"https://fairsharing.org/10.25504/FAIRsharing.mzk12n","doi":"10.25504/FAIRsharing.mzk12n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This site hosts Brassica genome databases.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11257}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Genome"],"taxonomies":["Brassica"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1659,"pubmed_id":21873998,"title":"The genome of the mesopolyploid crop species Brassica rapa.","year":2011,"url":"http://doi.org/10.1038/ng.919","authors":"Wang X,Wang H,Wang J,Sun R,Wu J,Liu S,Bai Y,Mun JH,Bancroft I,Cheng F,Huang S,Li X,Hua W,Wang J,Wang X,Freeling M,Pires JC,Paterson AH,Chalhoub B,Wang B,Hayward A,Sharpe AG,Park BS,Weisshaar B,Liu B,Li B,Liu B,Tong C,Song C,Duran C,Peng C,Geng C,Koh C,Lin C,Edwards D,Mu D,Shen D,Soumpourou E,Li F,Fraser F,Conant G,Lassalle G,King GJ,Bonnema G,Tang H,Wang H,Belcram H,Zhou H,Hirakawa H,Abe H,Guo H,Wang H,Jin H,Parkin IA,Batley J,Kim JS,Just J,Li J,Xu J,Deng J,Kim JA,Li J,Yu J,Meng J,Wang J,Min J,Poulain J,Wang J,Hatakeyama K,Wu K,Wang L,Fang L,Trick M,Links MG,Zhao M,Jin M,Ramchiary N,Drou N,Berkman PJ,Cai Q,Huang Q,Li R,Tabata S,Cheng S,Zhang S,Zhang S,Huang S,Sato S,Sun S,Kwon SJ,Choi SR,Lee TH,Fan W,Zhao X,Tan X,Xu X,Wang Y,Qiu Y,Yin Y,Li Y,Du Y,Liao Y,Lim Y,Narusaka Y,Wang Y,Wang Z,Li Z,Wang Z,Xiong Z,Zhang Z","journal":"Nat Genet","doi":"10.1038/ng.919","created_at":"2021-09-30T08:25:25.829Z","updated_at":"2021-09-30T08:25:25.829Z"}],"licence_links":[],"grants":[{"id":2324,"fairsharing_record_id":2344,"organisation_id":3117,"relation":"maintains","created_at":"2021-09-30T09:25:40.011Z","updated_at":"2021-09-30T09:25:40.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":3117,"name":"University of Queensland, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2323,"fairsharing_record_id":2344,"organisation_id":149,"relation":"maintains","created_at":"2021-09-30T09:25:39.973Z","updated_at":"2021-09-30T09:25:39.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":149,"name":"Australian Research Council, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2354","type":"fairsharing_records","attributes":{"created_at":"2016-10-28T18:46:21.000Z","updated_at":"2023-12-15T10:32:37.346Z","metadata":{"doi":"10.25504/FAIRsharing.9dbmwg","name":"Comprehensive Antibiotic Resistance Database","status":"ready","contacts":[{"contact_name":"Andrew McArthur","contact_email":"card@mcmaster.ca","contact_orcid":"0000-0002-1142-3063"}],"homepage":"http://arpcard.mcmaster.ca","identifier":2354,"description":"A bioinformatic database of antimicrobial resistance genes, their products and associated phenotypes.","abbreviation":"CARD","data_curation":{"url":"https://card.mcmaster.ca/","type":"manual","notes":"The CARD is curated by a group of experts in the area of antimicrobial resistance (AMR) and bioinformatics, including consultation with outside experts where needed."},"support_links":[{"url":"https://card.mcmaster.ca/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/arpcard/amr_curation","name":"GitHub curation issues","type":"Github"},{"url":"https://github.com/arpcard/rgi","name":"GitHub software issues","type":"Github"},{"url":"https://github.com/arpcard","name":"GitHub other issues","type":"Github"},{"url":"https://mailman.mcmaster.ca/mailman/listinfo/card-l","type":"Mailing list"},{"url":"https://twitter.com/arpcard","type":"Twitter"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"https://card.mcmaster.ca/analyze/rgi","name":"Resistance Gene Identifier 5.1.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012727","name":"re3data:r3d100012727","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://github.com/arpcard/amr_curation","type":"open","notes":"Only published AMR genes and mutations, with subsequent submission of sequence to GenBank, with clear evidence of elevated MICs can be submitted to CARD."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000833","bsg-d000833"],"name":"FAIRsharing record for: Comprehensive Antibiotic Resistance Database","abbreviation":"CARD","url":"https://fairsharing.org/10.25504/FAIRsharing.9dbmwg","doi":"10.25504/FAIRsharing.9dbmwg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A bioinformatic database of antimicrobial resistance genes, their products and associated phenotypes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["DNA sequence data","Antimicrobial","Phenotype","Amino acid sequence"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1745,"pubmed_id":23650175,"title":"The comprehensive antibiotic resistance database.","year":2013,"url":"http://doi.org/10.1128/AAC.00419-13","authors":"McArthur AG,Waglechner N,Nizam F,Yan A,Azad MA,Baylay AJ,Bhullar K,Canova MJ,De Pascale G,Ejim L,Kalan L,King AM,Koteva K,Morar M,Mulvey MR,O'Brien JS,Pawlowski AC,Piddock LJ,Spanogiannopoulos P,Sutherland AD,Tang I,Taylor PL,Thaker M,Wang W,Yan M,Yu T,Wright GD","journal":"Antimicrob Agents Chemother","doi":"10.1128/AAC.00419-13","created_at":"2021-09-30T08:25:35.830Z","updated_at":"2021-09-30T08:25:35.830Z"}],"licence_links":[{"licence_name":"CARD Copyright and Disclaimer","licence_id":102,"licence_url":"https://card.mcmaster.ca/about","link_id":51,"relation":"undefined"}],"grants":[{"id":2341,"fairsharing_record_id":2354,"organisation_id":2247,"relation":"funds","created_at":"2021-09-30T09:25:40.640Z","updated_at":"2021-09-30T09:25:40.640Z","grant_id":null,"is_lead":false,"saved_state":{"id":2247,"name":"Ontario Research Fund","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2344,"fairsharing_record_id":2354,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:25:40.765Z","updated_at":"2021-09-30T09:25:40.765Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2340,"fairsharing_record_id":2354,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:40.603Z","updated_at":"2021-09-30T09:25:40.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2342,"fairsharing_record_id":2354,"organisation_id":2101,"relation":"funds","created_at":"2021-09-30T09:25:40.682Z","updated_at":"2021-09-30T09:25:40.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":2101,"name":"Natural Sciences and Engineering Research Council of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2343,"fairsharing_record_id":2354,"organisation_id":667,"relation":"maintains","created_at":"2021-09-30T09:25:40.724Z","updated_at":"2021-09-30T09:25:40.724Z","grant_id":null,"is_lead":false,"saved_state":{"id":667,"name":"Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2345,"fairsharing_record_id":2354,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:40.803Z","updated_at":"2021-09-30T09:25:40.803Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2355","type":"fairsharing_records","attributes":{"created_at":"2016-10-28T22:16:03.000Z","updated_at":"2023-12-15T10:32:25.709Z","metadata":{"doi":"10.25504/FAIRsharing.yxkdpg","name":"Proteome-pI : proteome isoelectric point database","status":"ready","contacts":[{"contact_name":"Lukasz P. Kozlowski","contact_email":"lukasz.kozlowski.lpk@gmail.com","contact_orcid":"0000-0001-8187-1980"}],"homepage":"http://isoelectricpointdb.org/","identifier":2355,"description":"Proteome-pI is an online database containing information about predicted isoelectric points for 5,029 proteomes (21 million of sequences) calculated using 18 methods. The isoelectric point, the pH at which a particular molecule carries no net electrical charge, is an important parameter for many analytical biochemistry and proteomics techniques, especially for 2D gel electrophoresis (2D-PAGE), capillary isoelectric focusing, liquid chromatography–mass spectrometry and X-ray protein crystallography. The database allows the retrieval of virtual 2D-PAGE plots and the development of customized fractions of proteome based on isoelectric point and molecular weight. Moreover, Proteome-pI facilitates statistical comparisons of the various prediction methods as well as biological investigation of protein isoelectric point space in all kingdoms of life (http://isoelectricpointdb.org/statistics.html). The database includes various statistics and tools for interactive browsing, searching and sorting. It can be searched and browsed by organism name, average isoelectric point, molecular weight or amino acid frequencies. Proteins with extreme pI values are also available. For individual proteomes, users can retrieve proteins of interest given the method, isoelectric point and molecular weight ranges (this particular feature can be highly useful to limit potential targets in analysis of 2DPAGE gels or before conducting mass spectrometry). Finally, some general statistics (total number of proteins, amino acids, average sequence length, amino acid and di-amino acid frequencies) and datasets corresponding to major protein databases such as UniProtKB/TrEMBL and the NCBI non-redundant (nr) database have also been precalculated.","abbreviation":"Proteome-pI","data_curation":{"url":"http://isoelectricpointdb.org/about.html","type":"automated"},"support_links":[{"url":"http://isoelectricpointdb.org/about.html","type":"Help documentation"},{"url":"http://isoelectricpointdb.org/statistics.html","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"http://isoelectric.org","name":"IPC - Isoelectric Point Calculator"},{"url":"http://isoelectricpointdb.org/search.html","name":"Search"},{"url":"http://isoelectricpointdb.org/browse.html","name":"Browse"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000834","bsg-d000834"],"name":"FAIRsharing record for: Proteome-pI : proteome isoelectric point database","abbreviation":"Proteome-pI","url":"https://fairsharing.org/10.25504/FAIRsharing.yxkdpg","doi":"10.25504/FAIRsharing.yxkdpg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Proteome-pI is an online database containing information about predicted isoelectric points for 5,029 proteomes (21 million of sequences) calculated using 18 methods. The isoelectric point, the pH at which a particular molecule carries no net electrical charge, is an important parameter for many analytical biochemistry and proteomics techniques, especially for 2D gel electrophoresis (2D-PAGE), capillary isoelectric focusing, liquid chromatography–mass spectrometry and X-ray protein crystallography. The database allows the retrieval of virtual 2D-PAGE plots and the development of customized fractions of proteome based on isoelectric point and molecular weight. Moreover, Proteome-pI facilitates statistical comparisons of the various prediction methods as well as biological investigation of protein isoelectric point space in all kingdoms of life (http://isoelectricpointdb.org/statistics.html). The database includes various statistics and tools for interactive browsing, searching and sorting. It can be searched and browsed by organism name, average isoelectric point, molecular weight or amino acid frequencies. Proteins with extreme pI values are also available. For individual proteomes, users can retrieve proteins of interest given the method, isoelectric point and molecular weight ranges (this particular feature can be highly useful to limit potential targets in analysis of 2DPAGE gels or before conducting mass spectrometry). Finally, some general statistics (total number of proteins, amino acids, average sequence length, amino acid and di-amino acid frequencies) and datasets corresponding to major protein databases such as UniProtKB/TrEMBL and the NCBI non-redundant (nr) database have also been precalculated.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["2D PAGE image","Mass spectrum","X-ray diffraction","Proteome","Isoelectric point","Electrophoresis","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany","Poland"],"publications":[{"id":1748,"pubmed_id":27789699,"title":"Proteome-pI: proteome isoelectric point database.","year":2016,"url":"http://doi.org/10.1093/nar/gkw978","authors":"Kozlowski LP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw978","created_at":"2021-09-30T08:25:36.171Z","updated_at":"2021-09-30T11:29:19.760Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":1236,"relation":"undefined"}],"grants":[{"id":2346,"fairsharing_record_id":2355,"organisation_id":2390,"relation":"maintains","created_at":"2021-09-30T09:25:40.836Z","updated_at":"2021-09-30T09:25:40.836Z","grant_id":null,"is_lead":false,"saved_state":{"id":2390,"name":"Quantitative and Computational Biology Group, Max Planck Institute for Biophysical Chemistry","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2356","type":"fairsharing_records","attributes":{"created_at":"2016-10-31T13:24:21.000Z","updated_at":"2023-12-15T10:31:36.173Z","metadata":{"doi":"10.25504/FAIRsharing.m03n8s","name":"Reflora Virtual Herbarium","status":"ready","contacts":[{"contact_name":"Rafaela Campostrini Forzza","contact_email":"reflora@jbrj.gov.br"}],"homepage":"http://floradobrasil.jbrj.gov.br/reflora/herbarioVirtual","citations":[],"identifier":2356,"description":"Reflora Virtual Herbarium is a virtual herbarium for images of Brazilian plants housed in foreign herbaria. The Reflora Virtual Herbarium is designed to allow taxonomists to perform similar procedures to the ones they are used to do within physical collections. In this site they will access, rather than physical specimens, high quality images that can be consulted, re-determined and typified, amongst other functionalities. ","abbreviation":"REFLORA","data_curation":{"type":"not found"},"support_links":[{"url":"reflora@jbrj.gov.br","type":"Support email"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://ipt.jbrj.gov.br/reflora/","name":"IPT-REFLORA"},{"url":"http://ipt.jbrj.gov.br/jbrj/","name":"IPT-RB collection"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://floradobrasil.jbrj.gov.br/reflora/herbarioVirtual/ConsultaPublicoHVUC/ConsultaPublicoHVUC.do","type":"open","notes":"Submission requests should be sent to the contact email."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000835","bsg-d000835"],"name":"FAIRsharing record for: Reflora Virtual Herbarium","abbreviation":"REFLORA","url":"https://fairsharing.org/10.25504/FAIRsharing.m03n8s","doi":"10.25504/FAIRsharing.m03n8s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Reflora Virtual Herbarium is a virtual herbarium for images of Brazilian plants housed in foreign herbaria. The Reflora Virtual Herbarium is designed to allow taxonomists to perform similar procedures to the ones they are used to do within physical collections. In this site they will access, rather than physical specimens, high quality images that can be consulted, re-determined and typified, amongst other functionalities. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Biodiversity"],"domains":["Taxonomic classification","Bioimaging","Biological sample"],"taxonomies":["Algae","Fungi","Plantae"],"user_defined_tags":[],"countries":["Brazil"],"publications":[{"id":1741,"pubmed_id":null,"title":"HERBÁRIO VIRTUAL REFLORA Rafaela","year":2015,"url":"https://www.researchgate.net/project/Virtual-Herbarium-Reflora","authors":"Rafaela Campostrini Forzza, Fabiana Luiza Ranzato Filardi, João Paulo dos Santos Condack, Marco Antônio Palomares Accardo Filho, Paula Leitman, Silvana Helena Nascimento Monteiro, Vitor Faria Monteiro","journal":"Bioscience","doi":null,"created_at":"2021-09-30T08:25:35.329Z","updated_at":"2021-09-30T11:28:33.068Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":374,"relation":"undefined"}],"grants":[{"id":2347,"fairsharing_record_id":2356,"organisation_id":2412,"relation":"maintains","created_at":"2021-09-30T09:25:40.859Z","updated_at":"2021-09-30T09:25:40.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":2412,"name":"REFLORA Programme","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBb1VDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d57cc5ac44cfcc4eb9de7ba3081cb0dad4f11e0c/folhaREFLORA.png?disposition=inline","exhaustive_licences":false}},{"id":"2357","type":"fairsharing_records","attributes":{"created_at":"2016-10-31T15:25:25.000Z","updated_at":"2023-12-15T10:31:26.358Z","metadata":{"doi":"10.25504/FAIRsharing.tw6ecm","name":"LinkProt: A database of proteins with topological links","status":"ready","contacts":[{"contact_name":"Aleksandra Jarmolińska","contact_email":"a.jarmolinska@cent.uw.edu.pl","contact_orcid":"0000-0002-1259-3611"}],"homepage":"http://linkprot.cent.uw.edu.pl/","identifier":2357,"description":"LinkProt collects information about protein chains and complexes that form links. LinkProt detects deterministic links (with loops closed by cysteine), and determines likelihood of formation of links in networks of protein chains called MacroLinks. Links are presented graphically in an intuitive way, using tools that involves surfaces of minimal area spanned on closed loops. The database presents extensive information about biological functions of proteins with links and enables users to analyze new structures.","abbreviation":"LinkProt","data_curation":{"type":"not found"},"support_links":[{"url":"http://linkprot.cent.uw.edu.pl/interpreting","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/apply_results","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/tutorial_single","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/tutorial_browse","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/statistics","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/link_detection","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/link_classification","type":"Help documentation"},{"url":"http://linkprot.cent.uw.edu.pl/about","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000836","bsg-d000836"],"name":"FAIRsharing record for: LinkProt: A database of proteins with topological links","abbreviation":"LinkProt","url":"https://fairsharing.org/10.25504/FAIRsharing.tw6ecm","doi":"10.25504/FAIRsharing.tw6ecm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LinkProt collects information about protein chains and complexes that form links. LinkProt detects deterministic links (with loops closed by cysteine), and determines likelihood of formation of links in networks of protein chains called MacroLinks. Links are presented graphically in an intuitive way, using tools that involves surfaces of minimal area spanned on closed loops. The database presents extensive information about biological functions of proteins with links and enables users to analyze new structures.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12764}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein-containing complex","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Poland"],"publications":[{"id":1737,"pubmed_id":27794552,"title":"LinkProt: a database collecting information about biological links","year":2016,"url":"http://doi.org/10.1093/nar/gkw976","authors":"Pawel Dabrowski-Tumanski; Aleksandra I. Jarmolinska; Wanda Niemyska; Eric J. Rawdon; Kenneth C. Millett; Joanna I. Sulkowska","journal":"Nucleic Acid Research","doi":"10.1093/nar/gkw976","created_at":"2021-09-30T08:25:34.887Z","updated_at":"2021-09-30T08:25:34.887Z"}],"licence_links":[],"grants":[{"id":2348,"fairsharing_record_id":2357,"organisation_id":1467,"relation":"maintains","created_at":"2021-09-30T09:25:40.884Z","updated_at":"2021-09-30T09:25:40.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":1467,"name":"Interdisciplinary Laboratory of Biological Systems Modelling, Center of New Technology (CeNT), Warsaw, Poland","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2361","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T10:23:44.000Z","updated_at":"2023-12-15T10:28:59.338Z","metadata":{"doi":"10.25504/FAIRsharing.p90p8q","name":"Banana Genome Hub","status":"ready","contacts":[],"homepage":"http://banana-genome-hub.southgreen.fr/","citations":[],"identifier":2361,"description":"The Banana Genome Hub is the official portal for the Musaceae genome resources.","abbreviation":"BGH","data_curation":{"type":"not found"},"support_links":[{"url":"http://banana-genome-hub.southgreen.fr/contact","type":"Contact form"},{"url":"http://banana-genome-hub.southgreen.fr/documentation","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"http://banana-genome-hub.southgreen.fr/advanced","name":"Advanced Search"},{"url":"http://banana-genome-hub.southgreen.fr/convert","name":"Pseudomolecule Version Converter"},{"url":"http://banana-genome-hub.southgreen.fr/primer_designer","name":"Primer Designer"},{"url":"http://banana-genome-hub.southgreen.fr/primer_blaster","name":"Primer Blaster"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://banana-genome-hub.southgreen.fr/content/contributions","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000840","bsg-d000840"],"name":"FAIRsharing record for: Banana Genome Hub","abbreviation":"BGH","url":"https://fairsharing.org/10.25504/FAIRsharing.p90p8q","doi":"10.25504/FAIRsharing.p90p8q","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Genome Hub is the official portal for the Musaceae genome resources.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11499}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Transcriptomics"],"domains":["Gene Ontology enrichment","Genome annotation","Genome"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2123,"pubmed_id":23707967,"title":"The banana genome hub","year":2013,"url":"http://doi.org/10.1093/database/bat035","authors":"Droc G, Larivière D, Guignon V, Yahiaoui N, This D, Garsmeur O, Dereeper A, Hamelin C, Argout X, Dufayard JF, Lengelle J, Baurens FC, Cenci A, Pitollat B, D'Hont A, Ruiz M, Rouard M, Bocs S.","journal":"database","doi":"10.1093/database/bat035","created_at":"2021-09-30T08:26:19.349Z","updated_at":"2021-09-30T08:26:19.349Z"},{"id":3678,"pubmed_id":null,"title":"The Banana Genome Hub: a community database for genomics in the Musaceae","year":2022,"url":"https://doi.org/10.1093/hr/uhac221","authors":"Gaëtan Droc, Guillaume Martin, Valentin Guignon, Marilyne Summo, Guilhem Sempéré, Eloi Durant, Alexandre Soriano, Franc-Christophe Baurens, Alberto Cenci, Catherine Breton, Trushar Shah, Jean-Marc Aury, Xue-Jun Ge, Pat Heslop Harrison, Nabila Yahiaoui, Angélique D’Hont, Mathieu Rouard","journal":"Horticulture Research","doi":"10.1093/hr/uhac221","created_at":"2022-11-07T15:45:15.258Z","updated_at":"2022-11-07T15:45:15.258Z"}],"licence_links":[],"grants":[{"id":2356,"fairsharing_record_id":2361,"organisation_id":2603,"relation":"maintains","created_at":"2021-09-30T09:25:41.183Z","updated_at":"2022-11-07T15:45:42.418Z","grant_id":null,"is_lead":true,"saved_state":{"id":2603,"name":"South Green","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":2357,"fairsharing_record_id":2361,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:25:41.225Z","updated_at":"2022-11-07T15:45:42.459Z","grant_id":null,"is_lead":true,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2355,"fairsharing_record_id":2361,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:25:41.142Z","updated_at":"2022-11-07T15:45:42.432Z","grant_id":null,"is_lead":true,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2362","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T12:11:38.000Z","updated_at":"2023-12-15T10:30:15.760Z","metadata":{"doi":"10.25504/FAIRsharing.6h8d2r","name":"STOREDB","status":"ready","contacts":[{"contact_name":"Dr Paul Schofield","contact_email":"PNS12@cam.ac.uk","contact_orcid":"0000-0002-5111-7263"}],"homepage":"https://www.storedb.org/store_v3/","citations":[],"identifier":2362,"description":"STOREDB provides infrastructure for sharing data and resources in radiation biology and epidemiology. It is a platform for the archiving and sharing of primary data and outputs of all kinds, including epidemiological and experimental data, from research on the effects of radiation. It also provides a directory of bioresources and databases containing information and materials that investigators are willing to share. STORE supports the creation of a radiation research commons.","abbreviation":"STOREDB","data_curation":{"type":"not found"},"support_links":[{"url":"mg287@cam.ac.uk","type":"Support email"},{"url":"https://www.storedb.org/store_v3/help.jsp","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011049","name":"re3data:r3d100011049","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.storedb.org/store_v3/signin.jsp","type":"open","notes":"Registration required with ORCID"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000841","bsg-d000841"],"name":"FAIRsharing record for: STOREDB","abbreviation":"STOREDB","url":"https://fairsharing.org/10.25504/FAIRsharing.6h8d2r","doi":"10.25504/FAIRsharing.6h8d2r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STOREDB provides infrastructure for sharing data and resources in radiation biology and epidemiology. It is a platform for the archiving and sharing of primary data and outputs of all kinds, including epidemiological and experimental data, from research on the effects of radiation. It also provides a directory of bioresources and databases containing information and materials that investigators are willing to share. STORE supports the creation of a radiation research commons.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12765}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Ecology","Life Science","Biomedical Science","Epidemiology","Preclinical Studies"],"domains":["Cancer","Radiation","Radiotherapy","RNA sequencing","Disease","Radiation effects","Data storage"],"taxonomies":["Canis familiaris","Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["Genomic rearrangement"],"countries":["Belgium","France","Germany","Italy","Netherlands","Norway","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Individual licenses based on creative commons are annotated to each dataset","licence_id":436,"licence_url":"https://creativecommons.org/","link_id":2299,"relation":"undefined"}],"grants":[{"id":2360,"fairsharing_record_id":2362,"organisation_id":597,"relation":"maintains","created_at":"2021-09-30T09:25:41.352Z","updated_at":"2021-09-30T09:25:41.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":597,"name":"CONCERT-European Joint Programme for the Integration of Radiation Protection Research","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2359,"fairsharing_record_id":2362,"organisation_id":899,"relation":"funds","created_at":"2021-09-30T09:25:41.308Z","updated_at":"2021-09-30T09:31:38.851Z","grant_id":1265,"is_lead":false,"saved_state":{"id":899,"name":"Euratom","grant":"662287","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2358,"fairsharing_record_id":2362,"organisation_id":332,"relation":"maintains","created_at":"2021-09-30T09:25:41.267Z","updated_at":"2021-09-30T09:25:41.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":332,"name":"Bundesamt Fuer Strahlenschutz (BfS), Salzgitter, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2363","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T16:01:47.000Z","updated_at":"2024-03-21T13:58:53.266Z","metadata":{"doi":"10.25504/FAIRsharing.3me82d","name":"DrugCentral","status":"ready","contacts":[{"contact_name":"Tudor Oprea","contact_email":"toprea@salud.unm.edu","contact_orcid":"0000-0002-6195-6976"}],"homepage":"http://drugcentral.org/","identifier":2363,"description":"DrugCentral is online drug information that provides information on active ingredients, chemical entities, pharmaceutical products, drug mode of action, indications, and pharmacologic mode of action. DrugCentral monitors FDA, EMA, and PMDA for new drug approval on regular basis to ensure currency of the resource. This resource was created and is maintained by the Division of Translational Informatics at the University of New Mexico School of Medicine.","abbreviation":"DrugCentral","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000842","bsg-d000842"],"name":"FAIRsharing record for: DrugCentral","abbreviation":"DrugCentral","url":"https://fairsharing.org/10.25504/FAIRsharing.3me82d","doi":"10.25504/FAIRsharing.3me82d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DrugCentral is online drug information that provides information on active ingredients, chemical entities, pharmaceutical products, drug mode of action, indications, and pharmacologic mode of action. DrugCentral monitors FDA, EMA, and PMDA for new drug approval on regular basis to ensure currency of the resource. This resource was created and is maintained by the Division of Translational Informatics at the University of New Mexico School of Medicine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Repositioning","Drug Development","Pharmacy","Pharmacology","Biomedical Science"],"domains":["Chemical formula","Drug structure","Drug name","Drug combination effect modeling","Adverse Reaction","Target","Approved drug"],"taxonomies":["Bacteria","Homo sapiens","Protozoa","Viruses"],"user_defined_tags":["Bioactivity","Drug Target","Mode of action"],"countries":["United States"],"publications":[{"id":1763,"pubmed_id":27789690,"title":"DrugCentral: online drug compendium.","year":2016,"url":"http://doi.org/10.1093/nar/gkw993","authors":"Ursu O,Holmes J,Knockel J,Bologa CG,Yang JJ,Mathias SL,Nelson SJ,Oprea TI","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw993","created_at":"2021-09-30T08:25:37.810Z","updated_at":"2021-09-30T11:29:20.127Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2086,"relation":"undefined"}],"grants":[{"id":2361,"fairsharing_record_id":2363,"organisation_id":3157,"relation":"maintains","created_at":"2021-09-30T09:25:41.383Z","updated_at":"2021-09-30T09:25:41.383Z","grant_id":null,"is_lead":false,"saved_state":{"id":3157,"name":"UNM School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":11554,"fairsharing_record_id":2363,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:52.596Z","updated_at":"2024-03-21T13:58:53.160Z","grant_id":607,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"1U54CA189205-01","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2333","type":"fairsharing_records","attributes":{"created_at":"2016-09-22T22:02:52.000Z","updated_at":"2023-12-15T10:32:08.590Z","metadata":{"doi":"10.25504/FAIRsharing.8zz0xc","name":"denovo-db","status":"ready","contacts":[{"contact_name":"denovo-db","contact_email":"denovo-db@uw.edu"}],"homepage":"http://denovo-db.gs.washington.edu/","identifier":2333,"description":"denovo-db is a collection of germline de novo variants identified in the human genome. de novo variants are those present in children but not their parents.","abbreviation":"denovo-db","data_curation":{"url":"https://denovo-db.gs.washington.edu/denovo-db/Usage.jsp","type":"manual/automated","notes":"Data is manually extracted from literature, befor going though annotation pipelines."},"year_creation":2016,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000809","bsg-d000809"],"name":"FAIRsharing record for: denovo-db","abbreviation":"denovo-db","url":"https://fairsharing.org/10.25504/FAIRsharing.8zz0xc","doi":"10.25504/FAIRsharing.8zz0xc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: denovo-db is a collection of germline de novo variants identified in the human genome. de novo variants are those present in children but not their parents.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12757}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2336","type":"fairsharing_records","attributes":{"created_at":"2016-09-29T09:03:20.000Z","updated_at":"2023-06-23T14:56:02.468Z","metadata":{"doi":"10.25504/FAIRsharing.c9psgb","name":"ValidatorDB","status":"ready","contacts":[{"contact_name":"David Sehnal","contact_email":"david.sehnal@gmail.com","contact_orcid":"0000-0002-0682-3089"}],"homepage":"http://webchem.ncbr.muni.cz/Platform/ValidatorDB","citations":[],"identifier":2336,"description":"ValidatorDB is a collection of validation results for the entire Protein Data Bank. Annotation (3-letter code) of HET residues larger than 6 heavy atoms is inspected, i.e. if the residue has the same topology and stereochemistry as the model ligand or residue stored in the wwCCD. Validation reports for the entire database can be inspected as well as for the arbitrary set of PDB entries or PDB annotations (3-letter residue code). Results are available in graphical form via Web UI and can be downloaded in the form of CSV files for further inspection.","abbreviation":"ValidatorDB","data_curation":{"url":"http://webchem.ncbr.muni.cz/Wiki/ValidatorDB:Principles","type":"automated"},"support_links":[{"url":"http://webchem.ncbr.muni.cz/Wiki/ValidatorDB:UserManual","name":"ValidatorDB:UserManual","type":"Help documentation"},{"url":"https://www.slideshare.net/lukypravda/validatordb-first-time-user-guide-37728902","name":"ValidatorDB: First Time User Guide","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://webchem.ncbr.muni.cz/Platform/MotiveValidator","name":"MotiveValidator 1"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000813","bsg-d000813"],"name":"FAIRsharing record for: ValidatorDB","abbreviation":"ValidatorDB","url":"https://fairsharing.org/10.25504/FAIRsharing.c9psgb","doi":"10.25504/FAIRsharing.c9psgb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ValidatorDB is a collection of validation results for the entire Protein Data Bank. Annotation (3-letter code) of HET residues larger than 6 heavy atoms is inspected, i.e. if the residue has the same topology and stereochemistry as the model ligand or residue stored in the wwCCD. Validation reports for the entire database can be inspected as well as for the arbitrary set of PDB entries or PDB annotations (3-letter residue code). Results are available in graphical form via Web UI and can be downloaded in the form of CSV files for further inspection.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11388},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12176},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12759}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Ligand","Small molecule","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":1620,"pubmed_id":25392418,"title":"ValidatorDB: database of up-to-date validation results for ligands and non-standard residues from the Protein Data Bank.","year":2014,"url":"http://doi.org/10.1093/nar/gku1118","authors":"Sehnal D,Svobodova Varekova R,Pravda L,Ionescu CM,Geidl S,Horsky V,Jaiswal D,Wimmerova M,Koca J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1118","created_at":"2021-09-30T08:25:21.517Z","updated_at":"2021-09-30T11:29:16.420Z"}],"licence_links":[{"licence_name":"ValidatorDB Terms of Use","licence_id":837,"licence_url":"http://webchem.ncbr.muni.cz/Platform/Home/TermsOfUse","link_id":1523,"relation":"undefined"}],"grants":[{"id":2301,"fairsharing_record_id":2336,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:25:39.185Z","updated_at":"2021-09-30T09:29:42.703Z","grant_id":370,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","grant":"“Capacities” specific program [286154]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2303,"fairsharing_record_id":2336,"organisation_id":445,"relation":"maintains","created_at":"2021-09-30T09:25:39.256Z","updated_at":"2021-09-30T09:25:39.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":445,"name":"Central European Institute of Technology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2304,"fairsharing_record_id":2336,"organisation_id":840,"relation":"funds","created_at":"2021-09-30T09:25:39.298Z","updated_at":"2021-09-30T09:25:39.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2300,"fairsharing_record_id":2336,"organisation_id":950,"relation":"funds","created_at":"2021-09-30T09:25:39.148Z","updated_at":"2021-09-30T09:30:38.130Z","grant_id":799,"is_lead":false,"saved_state":{"id":950,"name":"European Regional Development Fund","grant":"CEITEC - Central European Institute of Technology [CZ.1.05/1.1.00/02.0068]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2302,"fairsharing_record_id":2336,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:25:39.223Z","updated_at":"2021-09-30T09:31:42.253Z","grant_id":1290,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LH13055","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8046,"fairsharing_record_id":2336,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:30:37.762Z","updated_at":"2021-09-30T09:30:37.826Z","grant_id":797,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","grant":"“Employment of Newly Graduated Doctors of Science for Scientific Excellence” [CZ.1.07/2.3.00/30.0009]","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8187,"fairsharing_record_id":2336,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:31:24.031Z","updated_at":"2021-09-30T09:31:24.085Z","grant_id":1152,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","grant":"INBIOR [CZ.1.07/2.3.00/20.0042]","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2345","type":"fairsharing_records","attributes":{"created_at":"2016-10-12T12:11:34.000Z","updated_at":"2023-06-23T15:20:18.947Z","metadata":{"doi":"10.25504/FAIRsharing.b6asc0","name":"General Practice Notebook","status":"ready","contacts":[{"contact_email":"support@gpnotebook.co.uk"}],"homepage":"http://www.gpnotebook.co.uk","identifier":2345,"description":"GPnotebook is a concise synopsis of the entire field of clinical medicine focused on the needs of the General Practitioner with material organised systematically to ensure rapid retrieval of information. The content of GPnotebook is based on clinical practice in the United Kingdom and provides a clinical reference for general practitioners and medical students; it may also be a useful reference resource for other health professionals. As well as being a clinical reference, GPnotebook also aims to be a tool for clinical education, clinical governance and continuing professional development.","abbreviation":"GP Notebook","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.gpnotebook.co.uk/contactUs.cfm","type":"Contact form"},{"url":"http://www.gpnotebook.co.uk/gpn_newstestimonials/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.gpnotebook.co.uk/help.cfm","type":"Help documentation"},{"url":"http://www.gpnotebook.co.uk/TnC.cfm","type":"Help documentation"},{"url":"http://www.gpnotebook.co.uk/aboutus.cfm","type":"Help documentation"},{"url":"http://www.gpnotebook.co.uk/app_compare.cfm","type":"Help documentation"}],"year_creation":1992,"data_versioning":"no","associated_tools":[{"url":"http://www.gpnotebook.co.uk/web_app_info.cfm","name":"Mobile Application (non-iPhone)"},{"url":"https://itunes.apple.com/gb/app/gpnotebook/id492253032","name":"iPhone App 1.1.0"},{"url":"https://itunes.apple.com/gb/app/quickmedicine/id844158986","name":"QUICKmedicine iPhone App 1.0.2"}],"data_access_condition":{"url":"https://gpnotebook.helpscoutdocs.com/article/35-why-do-i-need-to-sign-in","type":"controlled","notes":"GPnotebook is intended for healthcare professionals only."},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000823","bsg-d000823"],"name":"FAIRsharing record for: General Practice Notebook","abbreviation":"GP Notebook","url":"https://fairsharing.org/10.25504/FAIRsharing.b6asc0","doi":"10.25504/FAIRsharing.b6asc0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GPnotebook is a concise synopsis of the entire field of clinical medicine focused on the needs of the General Practitioner with material organised systematically to ensure rapid retrieval of information. The content of GPnotebook is based on clinical practice in the United Kingdom and provides a clinical reference for general practitioners and medical students; it may also be a useful reference resource for other health professionals. As well as being a clinical reference, GPnotebook also aims to be a tool for clinical education, clinical governance and continuing professional development.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12761}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Medicine","Biomedical Science","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1660,"pubmed_id":24567602,"title":"20 years of GPnotebook: from a medical student project to a national resource.","year":2014,"url":"http://doi.org/10.3399/bjgp14X677202","authors":"McMorran J,Crowther D,McMorran S","journal":"Br J Gen Pract","doi":"10.3399/bjgp14X677202","created_at":"2021-09-30T08:25:25.954Z","updated_at":"2021-09-30T08:25:25.954Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2346","type":"fairsharing_records","attributes":{"created_at":"2016-10-12T12:42:44.000Z","updated_at":"2023-06-23T15:29:53.510Z","metadata":{"doi":"10.25504/FAIRsharing.c886cd","name":"Immune Epitope Database","status":"ready","homepage":"http://www.iedb.org/","identifier":2346,"description":"The IEDB provides the scientific community with a central repository of freely accessible epitope data and epitope prediction and analysis resources. The IEDB is a publicly accessible, comprehensive immune epitope database containing peptidic linear and conformational epitopes and non peptidic epitopes such as lipids, metals, drugs, carbohydrates, etc, with published or submitted antibody, T cell, MHC binding or MHC ligand elution experimental assays. Epitope data related to infectious diseases, allergy, autoimmunity and transplant tested in humans, non human primates, and any other species can be found in the IEDB.","abbreviation":"IEDB","data_curation":{"url":"https://curationwiki.iedb.org/wiki/index.php/IEDB_Inclusion_Criteria","type":"manual/automated"},"support_links":[{"url":"http://iedb.zendesk.com/anonymous_requests/new","type":"Contact form"},{"url":"http://iedb.zendesk.com/forums","type":"Forum"},{"url":"http://help.iedb.org/home","type":"Help documentation"},{"url":"http://www.iedb.org/acknowledgements_v3.php","type":"Help documentation"},{"url":"http://www.iedb.org/terms_of_use_v3.php","type":"Help documentation"},{"url":"http://curationwiki.iedb.org/wiki/index.php/Data_Field_Descriptions","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://tools.iedb.org/mhci/","name":"MHC-I Binding Predictions"},{"url":"http://tools.iedb.org/mhcii/","name":"MHC-II Binding Predictions"},{"url":"http://tools.iedb.org/main/tcell/","name":"T Cell Epitope Prediction Tools"},{"url":"http://tools.iedb.org/immunogenicity/","name":"Class I Immunogenicity"},{"url":"http://tools.iedb.org/bcell/","name":"Antibody Epitope Prediction"},{"url":"http://tools.iedb.org/discotope/","name":"DiscoTope: Structure-based Antibody Prediction"},{"url":"http://tools.iedb.org/ellipro/","name":"ElliPro: Antibody Epitope Prediction"},{"url":"http://tools.iedb.org/tools/population/iedb_input","name":"Population Coverage Calculation"},{"url":"http://tools.iedb.org/conservancy/","name":"Epitope Conservancy Analysis"},{"url":"http://tools.iedb.org/cluster/","name":"Epitope Cluster Analysis"},{"url":"http://tools.iedb.org/esm/userMappingFrontP.jsp","name":"Epitope Sequence and 3D Structural Homology Mapping"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012702","name":"re3data:r3d100012702","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006604","name":"SciCrunch:RRID:SCR_006604","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://help.iedb.org/hc/en-us/articles/114094146791-Data-submission-policy-for-the-general-public","type":"controlled","notes":"Submission of data is considered on a case-by-case basis."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000824","bsg-d000824"],"name":"FAIRsharing record for: Immune Epitope Database","abbreviation":"IEDB","url":"https://fairsharing.org/10.25504/FAIRsharing.c886cd","doi":"10.25504/FAIRsharing.c886cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The IEDB provides the scientific community with a central repository of freely accessible epitope data and epitope prediction and analysis resources. The IEDB is a publicly accessible, comprehensive immune epitope database containing peptidic linear and conformational epitopes and non peptidic epitopes such as lipids, metals, drugs, carbohydrates, etc, with published or submitted antibody, T cell, MHC binding or MHC ligand elution experimental assays. Epitope data related to infectious diseases, allergy, autoimmunity and transplant tested in humans, non human primates, and any other species can be found in the IEDB.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10816},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12326},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12762}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Immunology","Life Science"],"domains":["Computational biological predictions","Antigen","T cell","Antibody","Immunity","Infection","Major histocompatibility complex","Literature curation"],"taxonomies":["Bacteria","Homo sapiens","Mus musculus","Oryctolagus cuniculus","Plantae","Primate","Vertebrata","Viruses"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":1668,"pubmed_id":16312048,"title":"The immune epitope database and analysis resource: from vision to blueprint.","year":2005,"url":"https://www.ncbi.nlm.nih.gov/pubmed/16312048","authors":"Sette A","journal":"Genome Inform","doi":null,"created_at":"2021-09-30T08:25:26.845Z","updated_at":"2021-09-30T08:25:26.845Z"},{"id":1685,"pubmed_id":25300482,"title":"The immune epitope database (IEDB) 3.0.","year":2014,"url":"http://doi.org/10.1093/nar/gku938","authors":"Vita R,Overton JA,Greenbaum JA,Ponomarenko J,Clark JD,Cantrell JR,Wheeler DK,Gabbard JL,Hix D,Sette A,Peters B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku938","created_at":"2021-09-30T08:25:28.784Z","updated_at":"2021-09-30T11:29:18.014Z"},{"id":2841,"pubmed_id":19906713,"title":"The immune epitope database 2.0.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1004","authors":"Vita R,Zarebski L,Greenbaum JA,Emami H,Hoof I,Salimi N,Damle R,Sette A,Peters B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1004","created_at":"2021-09-30T08:27:49.487Z","updated_at":"2021-09-30T11:29:47.137Z"},{"id":2842,"pubmed_id":22681406,"title":"The immune epitope database: a historical retrospective of the first decade.","year":2012,"url":"http://doi.org/10.1111/j.1365-2567.2012.03611.x","authors":"Salimi N,Fleri W,Peters B,Sette A","journal":"Immunology","doi":"10.1111/j.1365-2567.2012.03611.x","created_at":"2021-09-30T08:27:49.605Z","updated_at":"2021-09-30T08:27:49.605Z"}],"licence_links":[],"grants":[{"id":2325,"fairsharing_record_id":2346,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:40.048Z","updated_at":"2021-09-30T09:25:40.048Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2326,"fairsharing_record_id":2346,"organisation_id":1681,"relation":"maintains","created_at":"2021-09-30T09:25:40.090Z","updated_at":"2021-09-30T09:25:40.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":1681,"name":"La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2358","type":"fairsharing_records","attributes":{"created_at":"2016-11-15T07:56:55.000Z","updated_at":"2023-11-08T09:03:56.785Z","metadata":{"doi":"10.25504/FAIRsharing.wy4egf","name":"Zenodo","status":"ready","contacts":[{"contact_name":"Lars Holm Nielsen","contact_email":"lars.holm.nielsen@cern.ch","contact_orcid":"0000-0001-8135-3489"},{"contact_name":"Jose Benito Gonzalez Lopez","contact_email":"jose.benito.gonzalez@cern.ch","contact_orcid":"0000-0002-0816-7126"}],"homepage":"https://www.zenodo.org","citations":[],"identifier":2358,"description":"Zenodo is a generalist research data repository built and developed by OpenAIRE and CERN. It was developed to aid Open Science and is built on open source code. Zenodo helps researchers receive credit by making the research results citable and through OpenAIRE integrates them into existing reporting lines to funding agencies like the European Commission. Citation information is also passed to DataCite and onto the scholarly aggregators. Content is available publicly under any one of 400 open licences (from opendefinition.org and spdx.org). Restricted and Closed content is also supported. Free for researchers below 50 GB/dataset. Content is both online on disk and offline on tape as part of a long-term preservation policy. Zenodo supports managed access (with an access request workflow) as well as embargoing generally and during peer review. The base infrastructure of Zenodo is provided by CERN, a non-profit IGO. Projects are funded through grants.","abbreviation":"Zenodo","data_curation":{"url":"https://help.zenodo.org/docs/communities/curate/","type":"manual/automated","notes":"User Community Curation"},"support_links":[{"url":"http://blog.zenodo.org","name":"Blog","type":"Blog/News"},{"url":"https://zenodo.org/support","name":"Support form","type":"Contact form"},{"url":"info@zenodo.org","name":"Email","type":"Support email"},{"url":"https://help.zenodo.org/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.zenodo.org/","name":"Help","type":"Help documentation"},{"url":"https://www.zenodo.org/about","name":"About","type":"Help documentation"},{"url":"https://www.zenodo.org/features","name":"Features","type":"Help documentation"},{"url":"https://twitter.com/zenodo_org","name":"@zenodo_org","type":"Twitter"},{"url":"https://github.com/zenodo/zenodo","name":"Zenodo GitHub","type":"Github"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://inveniosoftware.org/products/rdm/","name":"InvenioRDM"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010468","name":"re3data:r3d100010468","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004129","name":"SciCrunch:RRID:SCR_004129","portal":"SciCrunch"}],"data_access_condition":{"url":"https://about.zenodo.org/policies/","type":"partially open","notes":"Files can be flexibly deposited under open, closed, or embargo conditions."},"resource_sustainability":{"url":"https://about.zenodo.org/roadmap/","name":"Zenodo Roadmap"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://about.zenodo.org/infrastructure/","name":"CERN EOS Services \u0026 CASTOR System (20+ year minimum retention period)."},"data_deposition_condition":{"url":"https://about.zenodo.org/policies/","type":"open","notes":"50 GB per record upload; larger quotas can be requested and granted on a case-by-case basis."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000837","bsg-d000837"],"name":"FAIRsharing record for: Zenodo","abbreviation":"Zenodo","url":"https://fairsharing.org/10.25504/FAIRsharing.wy4egf","doi":"10.25504/FAIRsharing.wy4egf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Zenodo is a generalist research data repository built and developed by OpenAIRE and CERN. It was developed to aid Open Science and is built on open source code. Zenodo helps researchers receive credit by making the research results citable and through OpenAIRE integrates them into existing reporting lines to funding agencies like the European Commission. Citation information is also passed to DataCite and onto the scholarly aggregators. Content is available publicly under any one of 400 open licences (from opendefinition.org and spdx.org). Restricted and Closed content is also supported. Free for researchers below 50 GB/dataset. Content is both online on disk and offline on tape as part of a long-term preservation policy. Zenodo supports managed access (with an access request workflow) as well as embargoing generally and during peer review. The base infrastructure of Zenodo is provided by CERN, a non-profit IGO. Projects are funded through grants.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10817},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12923},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12932},{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18431}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":["Open Science"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1941,"relation":"undefined"},{"licence_name":"Zenodo Policies","licence_id":880,"licence_url":"http://about.zenodo.org/policies/","link_id":1940,"relation":"undefined"},{"licence_name":"Zenodo Terms of Use","licence_id":881,"licence_url":"https://zenodo.org/terms","link_id":1939,"relation":"undefined"}],"grants":[{"id":2349,"fairsharing_record_id":2358,"organisation_id":2252,"relation":"maintains","created_at":"2021-09-30T09:25:40.914Z","updated_at":"2021-09-30T09:25:40.914Z","grant_id":null,"is_lead":false,"saved_state":{"id":2252,"name":"OpenAIRE","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2350,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:25:40.958Z","updated_at":"2021-09-30T09:29:08.834Z","grant_id":113,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"643410","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8302,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:31:59.789Z","updated_at":"2021-09-30T09:31:59.847Z","grant_id":1421,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"777541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8345,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:32:13.058Z","updated_at":"2021-09-30T09:32:13.119Z","grant_id":1521,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"283595","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2351,"fairsharing_record_id":2358,"organisation_id":947,"relation":"maintains","created_at":"2021-09-30T09:25:40.997Z","updated_at":"2021-09-30T09:25:40.997Z","grant_id":null,"is_lead":true,"saved_state":{"id":947,"name":"European Organisation for Nuclear Research (CERN), Geneva, Switzerland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2352,"fairsharing_record_id":2358,"organisation_id":947,"relation":"funds","created_at":"2021-09-30T09:25:41.028Z","updated_at":"2021-09-30T09:25:41.028Z","grant_id":null,"is_lead":false,"saved_state":{"id":947,"name":"European Organisation for Nuclear Research (CERN), Geneva, Switzerland","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7935,"fairsharing_record_id":2358,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:29:55.648Z","updated_at":"2021-09-30T09:29:55.696Z","grant_id":472,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"731011","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2359","type":"fairsharing_records","attributes":{"created_at":"2016-11-03T12:12:18.000Z","updated_at":"2023-12-15T10:30:54.798Z","metadata":{"doi":"10.25504/FAIRsharing.68f4xz","name":"mirDNMR","status":"ready","contacts":[{"contact_name":"Yi Jiang","contact_email":"jiangyi3029@foxmail.com","contact_orcid":"0000-0002-1196-0280"}],"homepage":"http://www.wzgenomics.cn/mirdnmr/","citations":[],"identifier":2359,"description":"mirDNMR is a database for the collection of gene-centered background DNMRs obtained from different methods and population variation data. The database has the following functions: (i) browse and search the background DNMRs of each gene predicted by four different methods, including GC content (DNMR-GC), sequence context (DNMR-SC), multiple factors (DNMR-MF) and local DNA methylation level (DNMR-DM); (ii) search variant frequencies in publicly available databases, including ExAC, ESP6500, UK10K, 1000G and dbSNP and (iii) investigate the DNM burden to prioritize candidate genes based on the four background DNMRs using three statistical methods (TADA, Binomial and Poisson test). In conclusion, mirDNMR can be widely used to identify the genetic basis of sporadic genetic diseases.","abbreviation":"mirDNMR","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.wzgenomics.cn/mirdnmr/feedback.php","type":"Contact form"},{"url":"http://www.wzgenomics.cn/mirdnmr/tutorial.php","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"http://www.wzgenomics.cn/mirdnmr/search_s.php","name":"Search"},{"url":"http://www.wzgenomics.cn/mirdnmr/Prioritize.php","name":"Prioritize"},{"url":"http://www.wzgenomics.cn/mirdnmr/filter.php","name":"Filter gene list with custom range"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000838","bsg-d000838"],"name":"FAIRsharing record for: mirDNMR","abbreviation":"mirDNMR","url":"https://fairsharing.org/10.25504/FAIRsharing.68f4xz","doi":"10.25504/FAIRsharing.68f4xz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mirDNMR is a database for the collection of gene-centered background DNMRs obtained from different methods and population variation data. The database has the following functions: (i) browse and search the background DNMRs of each gene predicted by four different methods, including GC content (DNMR-GC), sequence context (DNMR-SC), multiple factors (DNMR-MF) and local DNA methylation level (DNMR-DM); (ii) search variant frequencies in publicly available databases, including ExAC, ESP6500, UK10K, 1000G and dbSNP and (iii) investigate the DNM burden to prioritize candidate genes based on the four background DNMRs using three statistical methods (TADA, Binomial and Poisson test). In conclusion, mirDNMR can be widely used to identify the genetic basis of sporadic genetic diseases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Mutation analysis","Mutation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1777,"pubmed_id":27799474,"title":"mirDNMR: a gene-centered database of background de novo mutation rates in human.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1044","authors":"Jiang Y,Li Z,Liu Z,Chen D,Wu W,Du Y,Ji L,Jin ZB,Li W,Wu J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1044","created_at":"2021-09-30T08:25:39.436Z","updated_at":"2021-09-30T11:29:20.628Z"}],"licence_links":[],"grants":[{"id":2353,"fairsharing_record_id":2359,"organisation_id":3226,"relation":"maintains","created_at":"2021-09-30T09:25:41.067Z","updated_at":"2021-09-30T09:25:41.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":3226,"name":"Wenzhou Medical University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2360","type":"fairsharing_records","attributes":{"created_at":"2016-11-04T10:14:55.000Z","updated_at":"2023-12-15T10:32:11.216Z","metadata":{"doi":"10.25504/FAIRsharing.kthr0s","name":"Musa Germplasm Information System","status":"ready","contacts":[{"contact_email":"mgis@crop-diversity.org"}],"homepage":"https://www.crop-diversity.org/mgis/","citations":[],"identifier":2360,"description":"The Musa Germplasm Information System (MGIS) contains key information on Musa germplasm diversity, including passport data, botanical classification, morpho-taxonomic descriptors, molecular studies, plant photographs and GIS information on 4771 accessions managed in 24 collections around the world, making it the most extensive source of information on banana genetic resources.","abbreviation":"MGIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.crop-diversity.org/mgis/contact-form","type":"Contact form"},{"url":"https://www.crop-diversity.org/mgis/help","type":"Help documentation"},{"url":"https://www.crop-diversity.org/mgis/content/release-notes","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","associated_tools":[{"url":"https://www.crop-diversity.org/mgis/accession-search","name":"Accession Search"},{"url":"https://www.crop-diversity.org/mgis/taxonomy","name":"Taxonomy Browser"},{"url":"https://www.crop-diversity.org/mgis/comparator","name":"Accession Comparison"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000839","bsg-d000839"],"name":"FAIRsharing record for: Musa Germplasm Information System","abbreviation":"MGIS","url":"https://fairsharing.org/10.25504/FAIRsharing.kthr0s","doi":"10.25504/FAIRsharing.kthr0s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Musa Germplasm Information System (MGIS) contains key information on Musa germplasm diversity, including passport data, botanical classification, morpho-taxonomic descriptors, molecular studies, plant photographs and GIS information on 4771 accessions managed in 24 collections around the world, making it the most extensive source of information on banana genetic resources.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11498}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Life Science"],"domains":["DNA structural variation","Phenotype","Genotype"],"taxonomies":["Ensete","Musa"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":765,"pubmed_id":5502358,"title":"MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data","year":1970,"url":"http://doi.org/10.1177/18.12.893","authors":"Ruas M, Guignon V, Sempere G, et al.","journal":"database","doi":"10.1093/database/bax046","created_at":"2021-09-30T08:23:44.328Z","updated_at":"2021-09-30T11:28:30.859Z"}],"licence_links":[{"licence_name":"MGIS Data Sharing Agreement","licence_id":510,"licence_url":"https://www.crop-diversity.org/mgis/sites/crop-diversity.org.mgis/files/pdf/dsa/MGIS_DataSharingAgreement_Version1-8.pdf","link_id":1304,"relation":"undefined"}],"grants":[{"id":2354,"fairsharing_record_id":2360,"organisation_id":282,"relation":"maintains","created_at":"2021-09-30T09:25:41.104Z","updated_at":"2021-09-30T09:25:41.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":282,"name":"Bioversity International, Rome, Italy","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2348","type":"fairsharing_records","attributes":{"created_at":"2016-10-18T11:41:21.000Z","updated_at":"2023-12-15T10:29:24.941Z","metadata":{"doi":"10.25504/FAIRsharing.hkk309","name":"Cellosaurus","status":"ready","contacts":[{"contact_name":"Amos Bairoch","contact_email":"Amos.Bairoch@sib.swiss","contact_orcid":"0000-0003-2826-6444"}],"homepage":"https://www.cellosaurus.org","citations":[{"doi":"10.7171/jbt.18-2902-002","pubmed_id":29805321,"publication_id":2788}],"identifier":2348,"description":"The Cellosaurus is a knowledge resource on cell lines. It attempts to describe all cell lines used in biomedical research. Its scope includes: Immortalized cell lines; naturally immortal cell lines (example: stem cell lines); finite life cell lines when those are distributed and used widely; vertebrate cell line with an emphasis on human, mouse and rat cell lines; and invertebrate (insects and ticks) cell lines. Its scope does not include primary cell lines (with the exception of the finite life cell lines described above) and plant cell lines.","abbreviation":"Cellosaurus","data_curation":{"url":"https://www.cellosaurus.org/faq","type":"manual/automated","notes":"Entry of information in hPSCreg is directly performed by the groups that have established the relevant cell lines while Cellosaurus entries are manually curated"},"support_links":[{"url":"https://www.cellosaurus.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.cellosaurus.org/cellosaurus_relnotes.txt","name":"Release notes","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Cellosaurus","type":"Wikipedia"},{"url":"https://www.cellosaurus.org/description.html","name":"Description of Cellosaurus content","type":"Help documentation"},{"url":"https://www.cellosaurus.org/educational_resources.html","name":"Cellosaurus educational resources home page","type":"Training documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.cellosaurus.org/str-search/","name":"CLASTR 1.4.4"},{"url":"https://api.cellosaurus.org/","name":"API"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013293","name":"re3data:r3d100013293","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013869","name":"SciCrunch:RRID:SCR_013869","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","certifications_and_community_badges":[{"url":"https://www.elixir-europe.org/platforms/data/core-data-resources","name":"ELIXIR Core Data Resource"},{"url":"https://irdirc.org/resources-2/irdirc-recognized-resources/","name":"IRDiRC Recognized Resource"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000826","bsg-d000826"],"name":"FAIRsharing record for: Cellosaurus","abbreviation":"Cellosaurus","url":"https://fairsharing.org/10.25504/FAIRsharing.hkk309","doi":"10.25504/FAIRsharing.hkk309","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cellosaurus is a knowledge resource on cell lines. It attempts to describe all cell lines used in biomedical research. Its scope includes: Immortalized cell lines; naturally immortal cell lines (example: stem cell lines); finite life cell lines when those are distributed and used widely; vertebrate cell line with an emphasis on human, mouse and rat cell lines; and invertebrate (insects and ticks) cell lines. Its scope does not include primary cell lines (with the exception of the finite life cell lines described above) and plant cell lines.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18163},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12327},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12763},{"linking_record_name":"Translational Medicine at AstraZeneca FAIR Implementation Profile","linking_record_id":3610,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13196},{"linking_record_name":"Clinical Developments at AstraZeneca FAIR Implementation Profile","linking_record_id":3611,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13233}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Cell line"],"taxonomies":["Invertebrata","Vertebrata"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2787,"pubmed_id":31444973,"title":"CLASTR: The Cellosaurus STR similarity search tool - A precious help for cell line authentication.","year":2019,"url":"http://doi.org/10.1002/ijc.32639","authors":"Robin T,Capes-Davis A,Bairoch A","journal":"Int J Cancer","doi":"10.1002/ijc.32639","created_at":"2021-09-30T08:27:42.681Z","updated_at":"2021-09-30T08:27:42.681Z"},{"id":2788,"pubmed_id":29805321,"title":"The Cellosaurus, a Cell-Line Knowledge Resource.","year":2018,"url":"http://doi.org/10.7171/jbt.18-2902-002","authors":"Bairoch A","journal":"J Biomol Tech","doi":"10.7171/jbt.18-2902-002","created_at":"2021-09-30T08:27:42.798Z","updated_at":"2021-09-30T08:27:42.798Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1875,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1876,"relation":"undefined"}],"grants":[{"id":2328,"fairsharing_record_id":2348,"organisation_id":587,"relation":"maintains","created_at":"2021-09-30T09:25:40.190Z","updated_at":"2021-09-30T09:25:40.190Z","grant_id":null,"is_lead":false,"saved_state":{"id":587,"name":"Computer and Laboratory Investigation of Proteins of Human Origin Group (CALIPHO), Swiss Institute of Bioinformatics, Geneva, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBc1VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--9000a0f98d338c5a6a09c7e65ae363e5dbac0dfd/Cellosaurus_rvb.png?disposition=inline","exhaustive_licences":false}},{"id":"2065","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:26.194Z","metadata":{"doi":"10.25504/FAIRsharing.jrfd8y","name":"The Cancer Imaging Archive","status":"ready","contacts":[{"contact_name":"Justin Kirby","contact_email":"help@cancerimagingarchive.net","contact_orcid":"0000-0003-3487-8922"}],"homepage":"http://cancerimagingarchive.net/","citations":[{"doi":"10.1007/s10278-013-9622-7","pubmed_id":23884657,"publication_id":1335}],"identifier":2065,"description":"The Cancer Imaging Archive (TCIA) is a service which de-identifies and hosts medical images of cancer for public download. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. DICOM is the primary file format used by TCIA for radiology imaging. Supporting data related to the images such as patient outcomes, treatment details, genomics and expert analyses are also provided when available.","abbreviation":"TCIA","data_curation":{"url":"https://wiki.cancerimagingarchive.net/display/Public/Submission+and+De-identification+Overview","type":"manual/automated"},"support_links":[{"url":"https://www.facebook.com/The.Cancer.Imaging.Archive","name":"Facebook","type":"Facebook"},{"url":"https://www.cancerimagingarchive.net/contact-form/","name":"Contact Form","type":"Contact form"},{"url":"https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=4555089","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/forum/#!forum/tcia-announcements","name":"TCIA Announcements Google Group","type":"Forum"},{"url":"https://www.linkedin.com/groups/4371904/profile","name":"LinkedIn Group","type":"Forum"},{"url":"https://wiki.cancerimagingarchive.net/x/rYAY","name":"Wiki Documentation","type":"Help documentation"},{"url":"https://www.cancerimagingarchive.net/support/","name":"Support Documentation","type":"Help documentation"},{"url":"https://www.cancerimagingarchive.net/about-the-cancer-imaging-archive-tcia/","name":"About TCIA","type":"Help documentation"},{"url":"https://twitter.com/TCIA_News","name":"@TCIA_News","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/The_Cancer_Imaging_Archive_%28TCIA%29","name":"TCIA Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=22515655","name":"TCIA Data Analysis Centers (DACs)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011559","name":"re3data:r3d100011559","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008927","name":"SciCrunch:RRID:SCR_008927","portal":"SciCrunch"}],"data_access_condition":{"url":"https://wiki.cancerimagingarchive.net/display/Public/Frequently+Asked+Questions#FrequentlyAskedQuestions-2.HowdoIrequestaccesstoarestrictedcollection?","type":"partially open","notes":"Some collections have a restricted or limited access."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.cancerimagingarchive.net/primary-data/","type":"open","notes":"New datasets or analysis results can be submitted."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000532","bsg-d000532"],"name":"FAIRsharing record for: The Cancer Imaging Archive","abbreviation":"TCIA","url":"https://fairsharing.org/10.25504/FAIRsharing.jrfd8y","doi":"10.25504/FAIRsharing.jrfd8y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cancer Imaging Archive (TCIA) is a service which de-identifies and hosts medical images of cancer for public download. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. DICOM is the primary file format used by TCIA for radiology imaging. Supporting data related to the images such as patient outcomes, treatment details, genomics and expert analyses are also provided when available.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17399},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10795},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10963},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11095}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Oncology","Nuclear Medicine","Artificial Intelligence","Radiology","Personalized Medicine","Biomedical Science","Digital Image Processing","Pathology"],"domains":["Cancer","Magnetic resonance imaging","Imaging","Positron emission tomography","Image","Histology","Machine learning"],"taxonomies":["Canis lupus familiaris","Homo sapiens","Mus musculus"],"user_defined_tags":["Digital pathology"],"countries":["United States"],"publications":[{"id":1335,"pubmed_id":23884657,"title":"The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.","year":2013,"url":"http://doi.org/10.1007/s10278-013-9622-7","authors":"Clark K,Vendt B,Smith K,Freymann J,Kirby J,Koppel P,Moore S,Phillips S,Maffitt D,Pringle M,Tarbox L,Prior F","journal":"J Digit Imaging","doi":"10.1007/s10278-013-9622-7","created_at":"2021-09-30T08:24:49.410Z","updated_at":"2021-09-30T08:24:49.410Z"},{"id":2262,"pubmed_id":24772218,"title":"Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive.","year":2014,"url":"http://doi.org/10.1593/tlo.13862","authors":"Kalpathy-Cramer J,Freymann JB,Kirby JS,Kinahan PE,Prior FW","journal":"Transl Oncol","doi":"10.1593/tlo.13862","created_at":"2021-09-30T08:26:35.198Z","updated_at":"2021-09-30T08:26:35.198Z"},{"id":2266,"pubmed_id":25414001,"title":"Iterative probabilistic voxel labeling: automated segmentation for analysis of The Cancer Imaging Archive glioblastoma images.","year":2014,"url":"http://doi.org/10.3174/ajnr.A4171","authors":"Steed TC,Treiber JM,Patel KS,Taich Z,White NS,Treiber ML,Farid N,Carter BS,Dale AM,Chen CC","journal":"AJNR Am J Neuroradiol","doi":"10.1016/j.jocn.2018.06.018","created_at":"2021-09-30T08:26:35.723Z","updated_at":"2021-09-30T08:26:35.723Z"},{"id":2697,"pubmed_id":28925987,"title":"The public cancer radiology imaging collections of The Cancer Imaging Archive.","year":2017,"url":"http://doi.org/10.1038/sdata.2017.124","authors":"Prior F,Smith K,Sharma A,Kirby J,Tarbox L,Clark K,Bennett W,Nolan T,Freymann J","journal":"Sci Data","doi":"10.1038/sdata.2017.124","created_at":"2021-09-30T08:27:31.255Z","updated_at":"2021-09-30T08:27:31.255Z"},{"id":2698,"pubmed_id":29871933,"title":"TCIApathfinder: an R client for The Cancer Imaging Archive REST API.","year":2018,"url":"http://doi.org/10.1158/0008-5472.CAN-18-0678","authors":"Russell P,Fountain K,Wolverton D,Ghosh D","journal":"Cancer Res","doi":"10.1158/0008-5472.CAN-18-0678","created_at":"2021-09-30T08:27:31.371Z","updated_at":"2021-09-30T08:27:31.371Z"},{"id":2699,"pubmed_id":29934058,"title":"Molecular physiology of contrast enhancement in glioblastomas: An analysis of The Cancer Imaging Archive (TCIA).","year":2018,"url":"http://doi.org/S0967-5868(17)31169-4","authors":"Treiber JM,Steed TC,Brandel MG,Patel KS,Dale AM,Carter BS,Chen CC","journal":"J Clin Neurosci","doi":"S0967-5868(17)31169-4","created_at":"2021-09-30T08:27:31.530Z","updated_at":"2021-09-30T08:27:31.530Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3263,"relation":"applies_to_content"},{"licence_name":"TCIA Data Usage Policy","licence_id":774,"licence_url":"https://www.cancerimagingarchive.net/access-data","link_id":650,"relation":"undefined"}],"grants":[{"id":8325,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:05.674Z","updated_at":"2021-09-30T09:32:05.731Z","grant_id":1466,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001E/PHS HHS/United States","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1558,"fairsharing_record_id":2065,"organisation_id":3014,"relation":"maintains","created_at":"2021-09-30T09:25:11.433Z","updated_at":"2021-09-30T09:25:11.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":3014,"name":"University of Arkansas for Medical Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1559,"fairsharing_record_id":2065,"organisation_id":366,"relation":"funds","created_at":"2021-09-30T09:25:11.460Z","updated_at":"2021-09-30T09:25:11.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":366,"name":"Cancer Imaging Program (CIP), National Cancer Institute, Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1560,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:11.495Z","updated_at":"2021-09-30T09:29:53.820Z","grant_id":456,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R00LM009889","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8000,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:19.977Z","updated_at":"2021-09-30T09:30:20.021Z","grant_id":661,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01CA154602","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8057,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:41.361Z","updated_at":"2021-09-30T09:30:41.405Z","grant_id":823,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U01CA148131","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8290,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:55.857Z","updated_at":"2021-09-30T09:31:55.914Z","grant_id":1392,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001E/CA/NCI NIH HHS/United States","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8438,"fairsharing_record_id":2065,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:39.134Z","updated_at":"2021-09-30T09:32:39.186Z","grant_id":1718,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"HHSN261200800001C/RC/CCR NIH HHS/United States","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBclVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c253b9732ba4457141a2be596ca2ddfc306e8fa3/facebook%20icon.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2066","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-20T12:18:25.579Z","metadata":{"doi":"10.25504/FAIRsharing.zmhqcq","name":"European Mouse Mutant Cell Repository","status":"deprecated","contacts":[{"contact_name":"Antje Burger","contact_email":"antje.burger@helmholtz-munich.de","contact_orcid":null},{"contact_name":"General EUCOMM contact","contact_email":"info.eucomm@helmholtz-munich.de","contact_orcid":null},{"contact_name":"General EuMMCR Contact","contact_email":"info@eummcr.org","contact_orcid":null}],"homepage":"https://www.eummcr.info/","citations":[],"identifier":2066,"description":"The EuMMCR (European Mouse Mutant cell Repository) is the mouse ES cell distribution unit in Europe. The EuMMCR has been founded as distribution unit of EUCOMM (European Mouse Mutagenesis Program). The EuMMCR provides an online database to help users discover and choose targeting vectors and mutant ES cell lines produced in the EUCOMM and EUCOMMTOOLS consortia.","abbreviation":"EuMMCR","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.eummcr.info/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.eummcr.info/eummcr","name":"About","type":"Help documentation"},{"url":"https://www.eummcr.info/products/es-cells","name":"About Mutant ES Cells","type":"Help documentation"},{"url":"https://www.eummcr.info/products/vectors","name":"About Vectors","type":"Help documentation"},{"url":"https://www.eummcr.info/protocols/tissue-culture","name":"Protocols","type":"Help documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012644","name":"re3data:r3d100012644","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001506","name":"SciCrunch:RRID:SCR_001506","portal":"SciCrunch"}],"deprecation_date":"2024-03-20","deprecation_reason":"Although available through to the end of 2024, this resource stops accepting new orders from April and will close completely at the end of the year. From their announcement: \"Unfortunately, we have to announce that the EuMMCR service will be terminated at the end of the year 2024 due to lack of funding. Therefore, we are unable to accept any new orders from first of April this year.\"","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000533","bsg-d000533"],"name":"FAIRsharing record for: European Mouse Mutant Cell Repository","abbreviation":"EuMMCR","url":"https://fairsharing.org/10.25504/FAIRsharing.zmhqcq","doi":"10.25504/FAIRsharing.zmhqcq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EuMMCR (European Mouse Mutant cell Repository) is the mouse ES cell distribution unit in Europe. The EuMMCR has been founded as distribution unit of EUCOMM (European Mouse Mutagenesis Program). The EuMMCR provides an online database to help users discover and choose targeting vectors and mutant ES cell lines produced in the EUCOMM and EUCOMMTOOLS consortia.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Biology"],"domains":["Model organism","Cell line","Embryonic stem cell","Gene","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["Germany","European Union"],"publications":[],"licence_links":[{"licence_name":"EuMMCR Copyright and Imprint","licence_id":1073,"licence_url":"https://www.eummcr.info/imprint","link_id":3339,"relation":"applies_to_content"}],"grants":[{"id":1561,"fairsharing_record_id":2066,"organisation_id":1413,"relation":"maintains","created_at":"2021-09-30T09:25:11.536Z","updated_at":"2021-09-30T09:25:11.536Z","grant_id":null,"is_lead":true,"saved_state":{"id":1413,"name":"Institute of Developmental Genetics (IDG), Helmholtz Zentrum Munich, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdTRDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--005e343cb1e704c65d4fe51911493ddf41afbf87/Screenshot%20from%202023-09-21%2010-56-06.png?disposition=inline","exhaustive_licences":true}},{"id":"2068","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:05.862Z","metadata":{"doi":"10.25504/FAIRsharing.9dpd18","name":"Mutant Mouse Resource and Research Centers","status":"ready","contacts":[{"contact_name":"MMRRC Support","contact_email":"support@mmrrc.org"},{"contact_name":"MMRRC Service","contact_email":"service@mmrrc.org","contact_orcid":null}],"homepage":"https://www.mmrrc.org/","citations":[],"identifier":2068,"description":"The MMRRC distributes and cryopreserves scientifically valuable, genetically engineered mouse strains and mouse ES cell lines with potential value for the genetics and biomedical research community. The Catalog provides information on the strains available from the MMRRC.","abbreviation":"MMRRC","data_curation":{"url":"https://www.mmrrc.org/about/faq.php","type":"manual","notes":"The MMRRC's Coordinating Committee (CC) makes the decision based on information in the application and any provided papers. The MMRRC considers input from members of its Advisory Panel who have specialized expertise. The AP members are provided with the same information as the CC members."},"support_links":[{"url":"https://www.mmrrc.org/about/faq.php","name":"MMRRC FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.mmrrc.org/catalog/searchGeneAllele.php","name":"Gene and Allele Search Help","type":"Help documentation"},{"url":"https://twitter.com/mmrc","name":"@mmrc","type":"Twitter"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013715","name":"re3data:r3d100013715","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002953","name":"SciCrunch:RRID:SCR_002953","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.mmrrc.org/about/generalInfo.php","type":"open","notes":"Catalog of strain can be purchased"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.mmrrc.org/submission/submIntro.php","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000535","bsg-d000535"],"name":"FAIRsharing record for: Mutant Mouse Resource and Research Centers","abbreviation":"MMRRC","url":"https://fairsharing.org/10.25504/FAIRsharing.9dpd18","doi":"10.25504/FAIRsharing.9dpd18","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MMRRC distributes and cryopreserves scientifically valuable, genetically engineered mouse strains and mouse ES cell lines with potential value for the genetics and biomedical research community. The Catalog provides information on the strains available from the MMRRC.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biology"],"domains":["Genetic polymorphism","Gene","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":527,"pubmed_id":12102564,"title":"Mutant Mouse Regional Resource Center Program: a resource for distribution of mouse models for biomedical research.","year":2002,"url":"https://www.ncbi.nlm.nih.gov/pubmed/12102564","authors":"Grieder FB.,","journal":"Comp. Med.","doi":null,"created_at":"2021-09-30T08:23:17.492Z","updated_at":"2021-09-30T08:23:17.492Z"}],"licence_links":[{"licence_name":"NIH Web Policies and Notices","licence_id":587,"licence_url":"https://www.nih.gov/web-policies-notices","link_id":685,"relation":"undefined"}],"grants":[{"id":1565,"fairsharing_record_id":2068,"organisation_id":3030,"relation":"maintains","created_at":"2021-09-30T09:25:11.743Z","updated_at":"2021-09-30T09:25:11.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":3030,"name":"University of California Davis","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1563,"fairsharing_record_id":2068,"organisation_id":3107,"relation":"maintains","created_at":"2021-09-30T09:25:11.614Z","updated_at":"2021-09-30T09:25:11.614Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1564,"fairsharing_record_id":2068,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:25:11.707Z","updated_at":"2021-09-30T09:25:11.707Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1566,"fairsharing_record_id":2068,"organisation_id":3098,"relation":"maintains","created_at":"2021-09-30T09:25:11.783Z","updated_at":"2021-09-30T09:25:11.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":3098,"name":"University of Missouri, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2100","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:57.784Z","metadata":{"doi":"10.25504/FAIRsharing.hmgte8","name":"miRBase","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"mirbase@manchester.ac.uk"}],"homepage":"http://www.mirbase.org/","citations":[{"doi":"10.1093/nar/gky1141","pubmed_id":30423142,"publication_id":1614}],"identifier":2100,"description":"The miRBase database is a searchable database of published miRNA sequences and annotation. Each entry in miRBase represents a predicted hairpin portion of a miRNA transcript (termed mir in the database), with information on the location and sequence of the mature miRNA sequence (termed miR). Both hairpin and mature sequences are available for searching and browsing, and entries can also be retrieved by name, keyword, references and annotation.","abbreviation":"miRBase","data_curation":{"url":"https://www.mirbase.org/help/submit.shtml","type":"manual","notes":"Authors are contacted by miRBase team to discuss the naming of the miRNAs."},"support_links":[{"url":"http://www.mirbase.org/help/","name":"Help Pages","type":"Help documentation"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010566","name":"re3data:r3d100010566","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003152","name":"SciCrunch:RRID:SCR_003152","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.mirbase.org/registry.shtml","type":"controlled","notes":"Sequences need to be described in a manuscript accepted for publication prior submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000569","bsg-d000569"],"name":"FAIRsharing record for: miRBase","abbreviation":"miRBase","url":"https://fairsharing.org/10.25504/FAIRsharing.hmgte8","doi":"10.25504/FAIRsharing.hmgte8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The miRBase database is a searchable database of published miRNA sequences and annotation. Each entry in miRBase represents a predicted hairpin portion of a miRNA transcript (termed mir in the database), with information on the location and sequence of the mature miRNA sequence (termed miR). Both hairpin and mature sequences are available for searching and browsing, and entries can also be retrieved by name, keyword, references and annotation.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10968},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11100}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["RNA sequence","Ribonucleic acid","Crowdsourcing","Micro RNA","Gene"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":555,"pubmed_id":14681370,"title":"The microRNA Registry.","year":2003,"url":"http://doi.org/10.1093/nar/gkh023","authors":"Griffiths-Jones S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh023","created_at":"2021-09-30T08:23:20.601Z","updated_at":"2021-09-30T08:23:20.601Z"},{"id":1614,"pubmed_id":30423142,"title":"miRBase: from microRNA sequences to function.","year":2018,"url":"http://doi.org/10.1093/nar/gky1141","authors":"Kozomara A,Birgaoanu M,Griffiths-Jones S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1141","created_at":"2021-09-30T08:25:20.875Z","updated_at":"2021-09-30T11:29:16.128Z"},{"id":1626,"pubmed_id":24275495,"title":"miRBase: annotating high confidence microRNAs using deep sequencing data.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1181","authors":"Kozomara A,Griffiths-Jones S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1181","created_at":"2021-09-30T08:25:22.251Z","updated_at":"2021-09-30T11:29:16.737Z"},{"id":1627,"pubmed_id":21037258,"title":"miRBase: integrating microRNA annotation and deep-sequencing data.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1027","authors":"Kozomara A,Griffiths-Jones S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1027","created_at":"2021-09-30T08:25:22.352Z","updated_at":"2021-09-30T11:29:16.844Z"},{"id":1628,"pubmed_id":17991681,"title":"miRBase: tools for microRNA genomics.","year":2007,"url":"http://doi.org/10.1093/nar/gkm952","authors":"Griffiths-Jones S,Saini HK,van Dongen S,Enright AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm952","created_at":"2021-09-30T08:25:22.450Z","updated_at":"2021-09-30T11:29:16.944Z"},{"id":1629,"pubmed_id":16381832,"title":"miRBase: microRNA sequences, targets and gene nomenclature.","year":2005,"url":"http://doi.org/10.1093/nar/gkj112","authors":"Griffiths-Jones S,Grocock RJ,van Dongen S,Bateman A,Enright AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj112","created_at":"2021-09-30T08:25:22.550Z","updated_at":"2021-09-30T11:29:17.035Z"}],"licence_links":[],"grants":[{"id":1653,"fairsharing_record_id":2100,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:15.419Z","updated_at":"2021-09-30T09:25:15.419Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1655,"fairsharing_record_id":2100,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:25:15.470Z","updated_at":"2021-09-30T09:25:15.470Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1652,"fairsharing_record_id":2100,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.387Z","updated_at":"2021-09-30T09:25:15.387Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1654,"fairsharing_record_id":2100,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:15.443Z","updated_at":"2021-09-30T09:25:15.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1656,"fairsharing_record_id":2100,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:15.507Z","updated_at":"2021-09-30T09:25:15.507Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2101","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-08T10:15:26.776Z","metadata":{"doi":"10.25504/FAIRsharing.4ttw2d","name":"Search PRINTS-S","status":"deprecated","contacts":[{"contact_name":"TK Attwood","contact_email":"attwood@bioinf.man.ac.uk"}],"homepage":"http://www.bioinf.manchester.ac.uk/dbbrowser/sprint/","citations":[],"identifier":2101,"description":"SPRINT provides search access to the data bank of protein family fingerprints (PRINTS).","abbreviation":"SPRINT","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bioinf.man.ac.uk/dbbrowser/sprint/sprint_help.html","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2024-07-08","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000570","bsg-d000570"],"name":"FAIRsharing record for: Search PRINTS-S","abbreviation":"SPRINT","url":"https://fairsharing.org/10.25504/FAIRsharing.4ttw2d","doi":"10.25504/FAIRsharing.4ttw2d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SPRINT provides search access to the data bank of protein family fingerprints (PRINTS).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12691}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein domain","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":535,"pubmed_id":10592232,"title":"PRINTS-S: the database formerly known as PRINTS.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.225","authors":"Attwood TK., Croning MD., Flower DR., Lewis AP., Mabey JE., Scordis P., Selley JN., Wright W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.225","created_at":"2021-09-30T08:23:18.460Z","updated_at":"2021-09-30T08:23:18.460Z"}],"licence_links":[],"grants":[{"id":1659,"fairsharing_record_id":2101,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:15.641Z","updated_at":"2021-09-30T09:25:15.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1657,"fairsharing_record_id":2101,"organisation_id":2828,"relation":"funds","created_at":"2021-09-30T09:25:15.536Z","updated_at":"2021-09-30T09:25:15.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":2828,"name":"The Royal Society","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":1658,"fairsharing_record_id":2101,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.560Z","updated_at":"2021-09-30T09:25:15.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2102","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:59:05.561Z","metadata":{"doi":"10.25504/FAIRsharing.f8qafw","name":"Annmap","status":"deprecated","contacts":[{"contact_name":"C Miller","contact_email":"cmiller@picr.man.ac.uk"}],"homepage":"http://annmap.cruk.manchester.ac.uk/","identifier":2102,"description":"Annmap is a genome browser that includes mappings between genomic features and Affymetrix microarrays. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","abbreviation":"Annmap","data_curation":{"type":"not found"},"support_links":[{"url":"http://annmap.picr.man.ac.uk/help/index","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"not found","deprecation_date":"2021-9-23","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000571","bsg-d000571"],"name":"FAIRsharing record for: Annmap","abbreviation":"Annmap","url":"https://fairsharing.org/10.25504/FAIRsharing.f8qafw","doi":"10.25504/FAIRsharing.f8qafw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Annmap is a genome browser that includes mappings between genomic features and Affymetrix microarrays. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA microarray","Genome"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":563,"pubmed_id":17932061,"title":"X:Map: annotation and visualization of genome structure for Affymetrix exon array analysis.","year":2007,"url":"http://doi.org/10.1093/nar/gkm779","authors":"Yates T., Okoniewski MJ., Miller CJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm779","created_at":"2021-09-30T08:23:21.569Z","updated_at":"2021-09-30T08:23:21.569Z"}],"licence_links":[],"grants":[{"id":1661,"fairsharing_record_id":2102,"organisation_id":368,"relation":"funds","created_at":"2021-09-30T09:25:15.720Z","updated_at":"2021-09-30T09:25:15.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":368,"name":"Cancer Research UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1660,"fairsharing_record_id":2102,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.682Z","updated_at":"2021-09-30T09:25:15.682Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2103","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:29.356Z","metadata":{"doi":"10.25504/FAIRsharing.cm6j6r","name":"YEASTNET: A consensus reconstruction of yeast metabolism","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"network.reconstruction@manchester.ac.uk"}],"homepage":"http://yeast.sourceforge.net/","identifier":2103,"description":"This is a portal to the consensus yeast metabolic network as reconstructed from the genome sequence and literature. It is a highly annotated metabolic map of Saccharomyces cerevisiae S288c that is periodically updated by a team of collaborators from various research groups.","abbreviation":"YEASTNET","data_curation":{"url":"https://github.com/SysBioChalmers/yeast-GEM/blob/main/.github/CONTRIBUTING.md","type":"manual","notes":"Community curation."},"support_links":[{"url":"http://sourceforge.net/projects/yeast/forums/","name":"Forum","type":"Forum"}],"year_creation":2007,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000572","bsg-d000572"],"name":"FAIRsharing record for: YEASTNET: A consensus reconstruction of yeast metabolism","abbreviation":"YEASTNET","url":"https://fairsharing.org/10.25504/FAIRsharing.cm6j6r","doi":"10.25504/FAIRsharing.cm6j6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This is a portal to the consensus yeast metabolic network as reconstructed from the genome sequence and literature. It is a highly annotated metabolic map of Saccharomyces cerevisiae S288c that is periodically updated by a team of collaborators from various research groups.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Metabolomics","Systems Biology"],"domains":["Network model"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1419,"pubmed_id":18846089,"title":"A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology.","year":2008,"url":"http://doi.org/10.1038/nbt1492","authors":"Herrgård MJ., Swainston N., Dobson P., Dunn WB., Arga KY., Arvas M., Blüthgen N., Borger S., Costenoble R., Heinemann M., Hucka M., Le Novère N., Li P., Liebermeister W., Mo ML., Oliveira AP., Petranovic D., Pettifer S., Simeonidis E., Smallbone K., Spasić I., Weichart D., Brent R., Broomhead DS., Westerhoff HV., Kirdar B., Penttilä M., Klipp E., Palsson BØ., Sauer U., Oliver SG., Mendes P., Nielsen J., Kell DB.,","journal":"Nat. Biotechnol.","doi":"10.1038/nbt1492","created_at":"2021-09-30T08:24:58.603Z","updated_at":"2021-09-30T08:24:58.603Z"},{"id":2184,"pubmed_id":24678285,"title":"Revising the Representation of Fatty Acid, Glycerolipid, and Glycerophospholipid Metabolism in the Consensus Model of Yeast Metabolism.","year":2014,"url":"http://doi.org/10.1089/ind.2013.0013","authors":"Aung HW,Henry SA,Walker LP","journal":"Ind Biotechnol (New Rochelle N Y)","doi":"10.1089/ind.2013.0013","created_at":"2021-09-30T08:26:26.223Z","updated_at":"2021-09-30T08:26:26.223Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":1257,"relation":"undefined"}],"grants":[{"id":1664,"fairsharing_record_id":2103,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:25:15.810Z","updated_at":"2021-09-30T09:25:15.810Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1662,"fairsharing_record_id":2103,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.759Z","updated_at":"2021-09-30T09:25:15.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1663,"fairsharing_record_id":2103,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:15.785Z","updated_at":"2021-09-30T09:25:15.785Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1665,"fairsharing_record_id":2103,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:15.835Z","updated_at":"2021-09-30T09:29:03.772Z","grant_id":76,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NIH R01 GM071808","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2092","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:28.230Z","metadata":{"doi":"10.25504/FAIRsharing.r1k8kz","name":"Paleobiology Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@paleobiodb.org"}],"homepage":"https://paleobiodb.org/#/","citations":[],"identifier":2092,"description":"The Paleobiology Database seeks to provide researchers and the public with information about the entire fossil record. It stores global, collection-based occurrence and taxonomic data for marine and terrestrial animals and plants of any geological age, as well as web-based software for statistical analysis of the data. It is maintained by an international non-governmental group of paleontologists.","abbreviation":"PaleoBioDB","data_curation":{"url":"https://docs.google.com/document/d/e/2PACX-1vQPrlNL2sUTFbZAzZFs2Jhs4j-1h3RfAIFNl54JstnHfxhhRcjMGImGU4VRk89C9Er_kNEWj7NTAqaR/pub","type":"manual"},"support_links":[{"url":"https://paleobiodb.org/#/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/paleobiodb","name":"GitHub Project","type":"Github"},{"url":"https://paleobiodb.org/#/resources","name":"Video Tutorials","type":"Training documentation"},{"url":"https://twitter.com/paleodb","name":"@paleodb","type":"Twitter"}],"year_creation":1998,"data_versioning":"yes","associated_tools":[{"url":"https://paleobiodb.org/#/resources","name":"Tools and Resources"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010760","name":"re3data:r3d100010760","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://paleobiodb.org/#/resources","type":"open","notes":"PBDB has three user types that are allowed to contribute data to the database."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000561","bsg-d000561"],"name":"FAIRsharing record for: Paleobiology Database","abbreviation":"PaleoBioDB","url":"https://fairsharing.org/10.25504/FAIRsharing.r1k8kz","doi":"10.25504/FAIRsharing.r1k8kz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Paleobiology Database seeks to provide researchers and the public with information about the entire fossil record. It stores global, collection-based occurrence and taxonomic data for marine and terrestrial animals and plants of any geological age, as well as web-based software for statistical analysis of the data. It is maintained by an international non-governmental group of paleontologists.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Paleontology","Ecology"],"domains":["Taxonomic classification","Marine environment"],"taxonomies":["Animalia","Plantae"],"user_defined_tags":["Paleobiology"],"countries":["United States"],"publications":[{"id":303,"pubmed_id":18599780,"title":"Phanerozoic trends in the global diversity of marine invertebrates.","year":2008,"url":"http://doi.org/10.1126/science.1156963","authors":"Alroy J., Aberhan M., Bottjer DJ., et al.","journal":"Science","doi":"10.1126/science.1156963","created_at":"2021-09-30T08:22:52.642Z","updated_at":"2021-09-30T08:22:52.642Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1517,"relation":"undefined"}],"grants":[{"id":1628,"fairsharing_record_id":2092,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:14.368Z","updated_at":"2021-09-30T09:30:54.214Z","grant_id":927,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0949416","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1627,"fairsharing_record_id":2092,"organisation_id":3036,"relation":"maintains","created_at":"2021-09-30T09:25:14.324Z","updated_at":"2021-09-30T09:25:14.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":3036,"name":"University of California Santa Barbara, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2093","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T15:02:41.306Z","metadata":{"doi":"10.25504/FAIRsharing.qvxhb1","name":"VBASE2","status":"ready","contacts":[{"contact_name":"Werner Müller","contact_email":"wmueller@gbf.de","contact_orcid":"0000-0002-1297-9725"}],"homepage":"http://www.vbase2.org","identifier":2093,"description":"VBASE2 is an integrative database of germ-line variable genes from the immunoglobulin loci of human and mouse. All variable gene sequences are extracted from the EMBL-Bank.","abbreviation":"VBASE2","data_curation":{"type":"none"},"support_links":[{"url":"info@vbase2.org","type":"Support email"},{"url":"http://www.vbase2.org/vbhelp.php#faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.vbase2.org/vbhelp.php","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable","notes":"The VBASE2 dataset is generated in an automatic process based on a BLAST search of V genes against the source nucleotide databases ( Ensembl, EMBL-Bank, including Whole Genome Shotgun (WGS) and High Throughput Genomic (HTG) sequences)"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000562","bsg-d000562"],"name":"FAIRsharing record for: VBASE2","abbreviation":"VBASE2","url":"https://fairsharing.org/10.25504/FAIRsharing.qvxhb1","doi":"10.25504/FAIRsharing.qvxhb1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VBASE2 is an integrative database of germ-line variable genes from the immunoglobulin loci of human and mouse. All variable gene sequences are extracted from the EMBL-Bank.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Immunoglobulin complex","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":558,"pubmed_id":15608286,"title":"VBASE2, an integrative V gene database.","year":2004,"url":"http://doi.org/10.1093/nar/gki088","authors":"Retter I., Althaus HH., Münch R., Müller W.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gki088","created_at":"2021-09-30T08:23:20.976Z","updated_at":"2021-09-30T08:23:20.976Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1826,"relation":"undefined"},{"licence_name":"VBASE2 - Disclaimer","licence_id":839,"licence_url":"http://www.vbase2.org/vbdisclaimer.php","link_id":1828,"relation":"undefined"}],"grants":[{"id":1630,"fairsharing_record_id":2093,"organisation_id":3043,"relation":"maintains","created_at":"2021-09-30T09:25:14.447Z","updated_at":"2021-09-30T09:25:14.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":3043,"name":"University of Cologne, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":9348,"fairsharing_record_id":2093,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.159Z","updated_at":"2022-04-11T12:07:32.177Z","grant_id":157,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"031U110A/031U210A","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2094","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-26T10:37:50.488Z","metadata":{"doi":"10.25504/FAIRsharing.qaszjp","name":"RESID Database of Protein Modifications","status":"ready","contacts":[{"contact_name":"John S Garavelli","contact_email":"jsgarave@udel.edu"}],"homepage":"http://pir.georgetown.edu/resid/","citations":[],"identifier":2094,"description":"The RESID Database of Protein Modifications is a comprehensive collection of annotations and structures for protein modifications including amino-terminal, carboxyl-terminal and peptide chain cross-link post-translational modifications.","abbreviation":"RESID","data_curation":{"url":"https://proteininformationresource.org/pirwww/support/help.shtml","type":"manual"},"support_links":[{"url":"http://pir.georgetown.edu/resid/faq.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"http://pir.georgetown.edu/resid/documentation.shtml","type":"Help documentation"},{"url":"http://pir.georgetown.edu/resid/documentation.shtml","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011306","name":"re3data:r3d100011306","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003505","name":"SciCrunch:RRID:SCR_003505","portal":"SciCrunch"}],"data_access_condition":{"url":"https://proteininformationresource.org/pirwww/search/searchtools.shtml","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000563","bsg-d000563"],"name":"FAIRsharing record for: RESID Database of Protein Modifications","abbreviation":"RESID","url":"https://fairsharing.org/10.25504/FAIRsharing.qaszjp","doi":"10.25504/FAIRsharing.qaszjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RESID Database of Protein Modifications is a comprehensive collection of annotations and structures for protein modifications including amino-terminal, carboxyl-terminal and peptide chain cross-link post-translational modifications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Molecular structure","Small molecule","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland","United Kingdom","European Union"],"publications":[{"id":334,"pubmed_id":12520062,"title":"The RESID Database of Protein Modifications: 2003 developments.","year":2003,"url":"http://doi.org/10.1093/nar/gkg038","authors":"Garavelli JS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg038","created_at":"2021-09-30T08:22:55.931Z","updated_at":"2021-09-30T11:28:45.476Z"},{"id":347,"pubmed_id":15174122,"title":"The RESID Database of Protein Modifications as a resource and annotation tool.","year":2004,"url":"http://doi.org/10.1002/pmic.200300777","authors":"Garavelli JS","journal":"Proteomics","doi":"10.1002/pmic.200300777","created_at":"2021-09-30T08:22:57.374Z","updated_at":"2021-09-30T08:22:57.374Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":192,"relation":"undefined"},{"licence_name":"Use/Link to PIR","licence_id":829,"licence_url":"https://proteininformationresource.org/pirwww/about/linkpir.shtml","link_id":193,"relation":"undefined"}],"grants":[{"id":1632,"fairsharing_record_id":2094,"organisation_id":2375,"relation":"maintains","created_at":"2021-09-30T09:25:14.523Z","updated_at":"2021-09-30T09:25:14.523Z","grant_id":null,"is_lead":false,"saved_state":{"id":2375,"name":"Protein Information Resource Consortium","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1631,"fairsharing_record_id":2094,"organisation_id":1129,"relation":"maintains","created_at":"2021-09-30T09:25:14.486Z","updated_at":"2021-09-30T09:25:14.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":1129,"name":"Georgetown University Medical Center , Georgetown University, Washington DC, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1633,"fairsharing_record_id":2094,"organisation_id":3047,"relation":"maintains","created_at":"2021-09-30T09:25:14.565Z","updated_at":"2021-09-30T09:25:14.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":3047,"name":"University of Delaware, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2095","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:21.741Z","metadata":{"doi":"10.25504/FAIRsharing.swbypy","name":"AmoebaDB","status":"ready","contacts":[{"contact_name":"Omar Harb","contact_email":"oharb@pcbi.upenn.edu"}],"homepage":"http://amoebadb.org","citations":[],"identifier":2095,"description":"AmoebaDB belongs to the EuPathDB family of databases and is an integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. In its first released, AmoebaDB contained the genomes of three Entamoeba species. AmoebaDB integrates whole genome sequence and annotation and will rapidly expand to include experimental data and environmental isolate sequences provided by community researchers . The database includes supplemental bioinformatics analyses and a web interface for data-mining.","abbreviation":"AmoebaDB","data_curation":{"url":"https://static-content.veupathdb.org/documents/VEuPathDB_Data_Sub_Release_policy_rev_02April2020.pdf","type":"manual/automated"},"support_links":[{"url":"http://amoebadb.org/amoeba/contact.do","type":"Contact form"},{"url":"https://cryptodb.org/cryptodb/app/static-content/landing.html","name":"How to Use","type":"Help documentation"},{"url":"http://amoebadb.org/amoeba/showXmlDataContent.do?name=XmlQuestions.Tutorials","type":"Training documentation"},{"url":"https://twitter.com/eupathdb","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"http://amoebadb.org/amoeba/showQuestion.do?questionFullName=UniversalQuestions.UnifiedBlast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012457","name":"re3data:r3d100012457","portal":"re3data"}],"data_access_condition":{"url":"https://amoebadb.org/amoeba/app/static-content/about.html","type":"open","notes":"All data on these websites are provided freely for public use."},"resource_sustainability":{"url":"https://amoebadb.org/amoeba/app/static-content/about.html","name":"More information"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://amoebadb.org/amoeba/app/static-content/dataSubmission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000564","bsg-d000564"],"name":"FAIRsharing record for: AmoebaDB","abbreviation":"AmoebaDB","url":"https://fairsharing.org/10.25504/FAIRsharing.swbypy","doi":"10.25504/FAIRsharing.swbypy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AmoebaDB belongs to the EuPathDB family of databases and is an integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. In its first released, AmoebaDB contained the genomes of three Entamoeba species. AmoebaDB integrates whole genome sequence and annotation and will rapidly expand to include experimental data and environmental isolate sequences provided by community researchers . The database includes supplemental bioinformatics analyses and a web interface for data-mining.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics"],"domains":["Sequence annotation","Model organism"],"taxonomies":["Acanthamoeba","Entamoeba","Naegleria fowleri"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":72,"pubmed_id":19914931,"title":"EuPathDB: a portal to eukaryotic pathogen databases.","year":2009,"url":"http://doi.org/10.1093/nar/gkp941","authors":"Aurrecoechea C., Brestelli J., Brunk BP. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp941","created_at":"2021-09-30T08:22:27.954Z","updated_at":"2021-09-30T08:22:27.954Z"}],"licence_links":[{"licence_name":"AmoebaDB Attribution required","licence_id":29,"licence_url":"https://amoebadb.org/amoeba/app/static-content/about.html#about_citing","link_id":219,"relation":"undefined"},{"licence_name":"AmoebaDB Data Access Policy","licence_id":30,"licence_url":"https://amoebadb.org/amoeba/app/static-content/about.html","link_id":220,"relation":"undefined"}],"grants":[{"id":1634,"fairsharing_record_id":2095,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:14.607Z","updated_at":"2021-09-30T09:25:14.607Z","grant_id":null,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1636,"fairsharing_record_id":2095,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:14.677Z","updated_at":"2021-09-30T09:32:37.871Z","grant_id":1708,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"HHSN272200900038C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9983,"fairsharing_record_id":2095,"organisation_id":3549,"relation":"maintains","created_at":"2022-10-07T16:09:37.940Z","updated_at":"2022-10-07T16:09:37.940Z","grant_id":null,"is_lead":true,"saved_state":{"id":3549,"name":"Eukaryotic Pathogen, Vector \u0026 Host Informatics Resource (VEuPathDB) Bioinformatics Resource Center (BRC)","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBczRCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--576fe8315cffbe075147f2b16b7ea538c6ff16e8/amoebaDB.png?disposition=inline","exhaustive_licences":false}},{"id":"2096","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:21:07.372Z","metadata":{"doi":"10.25504/FAIRsharing.ptsckv","name":"Cancer Genome Mine","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"bbu-support@helsinki.fi"}],"homepage":"http://www.cangem.org/","identifier":2096,"description":"Clinical information about tumor samples and microarray data, with emphasis on array comparative genomic hybridization (aCGH) and data mining of gene copy number changes.","abbreviation":"CanGEM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.cangem.org/browse.php?what=doc","type":"Help documentation"},{"url":"http://cabigtrainingdocs.nci.nih.gov/caNanolab/websubmission/caNanolab_websubmission.html","type":"Training documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2020-06-03","deprecation_reason":"This database is no longer available at its listed homepage, and no further information can be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000565","bsg-d000565"],"name":"FAIRsharing record for: Cancer Genome Mine","abbreviation":"CanGEM","url":"https://fairsharing.org/10.25504/FAIRsharing.ptsckv","doi":"10.25504/FAIRsharing.ptsckv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Clinical information about tumor samples and microarray data, with emphasis on array comparative genomic hybridization (aCGH) and data mining of gene copy number changes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Life Science","Biomedical Science"],"domains":["Cancer","Genetic polymorphism","Chromosomal aberration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":554,"pubmed_id":17932056,"title":"CanGEM: mining gene copy number changes in cancer.","year":2007,"url":"http://doi.org/10.1093/nar/gkm802","authors":"Scheinin I., Myllykangas S., Borze I., Böhling T., Knuutila S., Saharinen J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm802","created_at":"2021-09-30T08:23:20.487Z","updated_at":"2021-09-30T08:23:20.487Z"}],"licence_links":[],"grants":[{"id":1638,"fairsharing_record_id":2096,"organisation_id":17,"relation":"funds","created_at":"2021-09-30T09:25:14.782Z","updated_at":"2021-09-30T09:29:07.669Z","grant_id":105,"is_lead":false,"saved_state":{"id":17,"name":"Academy of Finland, Helsinki, Finland","grant":"207469","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1639,"fairsharing_record_id":2096,"organisation_id":1238,"relation":"funds","created_at":"2021-09-30T09:25:14.823Z","updated_at":"2021-09-30T09:31:32.317Z","grant_id":1215,"is_lead":false,"saved_state":{"id":1238,"name":"Helsinki University Hospital (HUH), Helsinki, Finland","grant":"TYH6229","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1637,"fairsharing_record_id":2096,"organisation_id":3064,"relation":"maintains","created_at":"2021-09-30T09:25:14.701Z","updated_at":"2021-09-30T09:25:14.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":3064,"name":"University of Helsinki, Finland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2087","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T10:07:22.217Z","metadata":{"doi":"10.25504/FAIRsharing.jrv6wj","name":"Xenopus laevis and tropicalis biology and genomics resource","status":"ready","contacts":[{"contact_name":"Aaron Zorn","contact_email":"xenbase@cchmc.org","contact_orcid":"0000-0003-3217-3590"}],"homepage":"http://www.xenbase.org","citations":[{"doi":"10.1093/genetics/iyad018","pubmed_id":36755307,"publication_id":3858}],"identifier":2087,"description":"Xenbase is the model organism database for Xenopus laevis and X. (Silurana) tropicalis which was created to improve knowledge of developmental and disease processes. Through curation and automated data provisioning from various sources, Xenbase aims to integrate the body of knowledge on Xenopus genomics and biology together with the visualization of biologically-significant interactions.","abbreviation":"Xenbase","data_curation":{"url":"https://www.xenbase.org/xenbase/static-xenbase/contactUs.jsp","type":"manual","notes":"Team of curators"},"support_links":[{"url":"https://www.youtube.com/user/XenbaseTips","name":"Video Tutorials (YouTube)","type":"Video"},{"url":"http://wiki.xenbase.org/xenwiki","name":"Xenbase Community Wiki","type":"Help documentation"},{"url":"https://www.xenbase.org/entry/other/statistics.do","name":"Statistics","type":"Help documentation"},{"url":"http://www.xenbase.org/entry/doNewsRead.do?id=610","name":"Anatomy and Histology Atlas","type":"Help documentation"},{"url":"https://www.xenbase.org/entry/static/anatomy/xenbasefate.jsp","name":"Fate Maps","type":"Help documentation"},{"url":"https://www.xenbase.org/entry/static/anatomy/movies.jsp","name":"Development Videos","type":"Help documentation"},{"url":"https://twitter.com/Xenbase","name":"@Xenbase","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Xenbase","name":"Xenbase Wikipedia Entry","type":"Wikipedia"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011331","name":"re3data:r3d100011331","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003280","name":"SciCrunch:RRID:SCR_003280","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.xenbase.org/xenbase/static-xenbase/aboutMOD.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000556","bsg-d000556"],"name":"FAIRsharing record for: Xenopus laevis and tropicalis biology and genomics resource","abbreviation":"Xenbase","url":"https://fairsharing.org/10.25504/FAIRsharing.jrv6wj","doi":"10.25504/FAIRsharing.jrv6wj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Xenbase is the model organism database for Xenopus laevis and X. (Silurana) tropicalis which was created to improve knowledge of developmental and disease processes. Through curation and automated data provisioning from various sources, Xenbase aims to integrate the body of knowledge on Xenopus genomics and biology together with the visualization of biologically-significant interactions.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10798},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10966},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11098}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Functional Genomics","Anatomy","Genomics","Genetics","Proteomics","Developmental Biology","Cell Biology"],"domains":["Expression data","Bibliography","Gene Ontology enrichment","Differential gene expression analysis","Differential protein expression analysis","Model organism","Reagent","Next generation DNA sequencing","Disease process modeling","Gene expression","Antibody","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Phenotype","Micro RNA","Genome","Genetic strain"],"taxonomies":["Xenopus","Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":708,"pubmed_id":25380782,"title":"The Virtual Xenbase: transitioning an online bioinformatics resource to a private cloud","year":2014,"url":"http://doi.org/10.1093/database/bau108","authors":"K Karimi and PD Vize","journal":"Database","doi":"10.1093/database/bau108","created_at":"2021-09-30T08:23:38.086Z","updated_at":"2021-09-30T08:23:38.086Z"},{"id":970,"pubmed_id":24139024,"title":"Enhanced XAO: the ontology of Xenopus anatomy and development underpins more accurate annotation of gene expression and queries on Xenbase.","year":2013,"url":"http://doi.org/10.1186/2041-1480-4-31","authors":"Segerdell E,Ponferrada VG,James-Zorn C,Burns KA,Fortriede JD,Dahdul WM,Vize PD,Zorn AM","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-4-31","created_at":"2021-09-30T08:24:07.313Z","updated_at":"2021-09-30T08:24:07.313Z"},{"id":1194,"pubmed_id":19884130,"title":"Xenbase: gene expression and improved integration.","year":2009,"url":"http://doi.org/10.1093/nar/gkp953","authors":"Bowes JB,Snyder KA,Segerdell E,Jarabek CJ,Azam K,Zorn AM,Vize PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp953","created_at":"2021-09-30T08:24:32.721Z","updated_at":"2021-09-30T11:29:02.734Z"},{"id":1196,"pubmed_id":27039265,"title":"Xenopus genomic data and browser resources.","year":2016,"url":"http://doi.org/S0012-1606(15)30357-2","authors":"Vize PD,Zorn AM","journal":"Dev Biol","doi":"10.1016/j.ydbio.2016.03.030","created_at":"2021-09-30T08:24:32.925Z","updated_at":"2021-09-30T08:24:32.925Z"},{"id":1485,"pubmed_id":25313157,"title":"Xenbase, the Xenopus model organism database; new virtualized system, data types and genomes","year":2014,"url":"http://doi.org/10.1093/nar/gku956","authors":"•JB Karpinka, JD Fortriede, KA Burns, C James-Zorn; VG Ponferrada; J Lee; K Karimi; AM Zorn; PD Vize","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku956","created_at":"2021-09-30T08:25:06.254Z","updated_at":"2021-09-30T08:25:06.254Z"},{"id":1486,"pubmed_id":30863320,"title":"Xenbase: Facilitating the Use of Xenopus to Model Human Disease.","year":2019,"url":"http://doi.org/10.3389/fphys.2019.00154","authors":"Nenni MJ, Fisher ME, James-Zorn C, Pells TJ, Ponferrada V, Chu S, Fortriede JD, Burns KA, Wang Y, Lotay VS, Wang DZ, Segerdell E, Chaturvedi P, Karimi K, Vize PD, Zorn AM.","journal":"Front Physiol. 2019 Feb 26;10:154","doi":"doi:10.3389/fphys.2019.00154","created_at":"2021-09-30T08:25:06.361Z","updated_at":"2021-09-30T08:25:06.361Z"},{"id":1498,"pubmed_id":31733057,"title":"Xenbase: deep integration of GEO \u0026 SRA RNA-seq and ChIP-seq data in a model organism database.","year":2019,"url":"http://doi.org/10.1093/nar/gkz933","authors":"Fortriede JD,Pells TJ,Chu S,Chaturvedi P,Wang D,Fisher ME,James-Zorn C,Wang Y,Nenni MJ,Burns KA,Lotay VS,Ponferrada VG,Karimi K,Zorn AM,Vize PD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz933","created_at":"2021-09-30T08:25:07.774Z","updated_at":"2021-09-30T11:29:11.085Z"},{"id":2336,"pubmed_id":29761462,"title":"Navigating Xenbase: An Integrated Xenopus Genomics and Gene Expression Database.","year":2018,"url":"http://doi.org/10.1007/978-1-4939-7737-6_10","authors":"James-Zorn C, Ponferrada V, Fisher ME, Burns K, Fortriede J, Segerdell E, Karimi K, Lotay V, Wang DZ, Chu S, Pells T, Wang Y, Vize PD, Zorn A.","journal":"Methods Mol Biol. 2018;1757:251-305.","doi":"doi:10.1007/978-1-4939-7737-6_10.","created_at":"2021-09-30T08:26:46.893Z","updated_at":"2021-09-30T08:26:46.893Z"},{"id":3602,"pubmed_id":35317743,"title":"The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development.","year":2022,"url":"https://doi.org/10.1186/s12859-022-04636-8","authors":"Fisher ME, Segerdell E, Matentzoglu N, Nenni MJ, Fortriede JD, Chu S, Pells TJ, Osumi-Sutherland D, Chaturvedi P, James-Zorn C, Sundararaj N, Lotay VS, Ponferrada V, Wang DZ, Kim E, Agalakov S, Arshinoff BI, Karimi K, Vize PD, Zorn AM","journal":"BMC bioinformatics","doi":"10.1186/s12859-022-04636-8","created_at":"2022-09-27T22:02:15.642Z","updated_at":"2022-09-27T22:02:15.642Z"},{"id":3858,"pubmed_id":36755307,"title":"Xenbase: Key Features and Resources of the Xenopus Model Organism Knowledgebase.","year":2023,"url":"https://doi.org/10.1093/genetics/iyad018","authors":"Fisher M, James-Zorn C, Ponferrada V, Bell AJ, Sundararaj N, Segerdell E, Chaturvedi P, Bayyari N, Chu S, Pells T, Lotay V, Agalakov S, Wang DZ, Arshinoff BI, Foley S, Karimi K, Vize PD, Zorn AM","journal":"Genetics","doi":"10.1093/genetics/iyad018","created_at":"2023-05-02T18:33:42.949Z","updated_at":"2023-05-02T18:33:42.949Z"},{"id":3859,"pubmed_id":35833709,"title":"Normal Table of Xenopus development: a new graphical resource.","year":2022,"url":"https://doi.org/10.1242/dev.200356","authors":"Zahn N, James-Zorn C, Ponferrada VG, Adams DS, Grzymkowski J, Buchholz DR, Nascone-Yoder NM, Horb M, Moody SA, Vize PD, Zorn AM","journal":"Development (Cambridge, England)","doi":"10.1242/dev.200356","created_at":"2023-05-02T18:36:45.460Z","updated_at":"2023-05-02T18:36:45.460Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":2411,"relation":"undefined"},{"licence_name":"Xenbase Credits and Copyright","licence_id":877,"licence_url":"http://www.xenbase.org/other/static-xenbase/aboutMOD.jsp","link_id":2410,"relation":"undefined"}],"grants":[{"id":1613,"fairsharing_record_id":2087,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:13.740Z","updated_at":"2021-09-30T09:25:13.740Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1611,"fairsharing_record_id":2087,"organisation_id":3027,"relation":"maintains","created_at":"2021-09-30T09:25:13.665Z","updated_at":"2021-09-30T09:25:13.665Z","grant_id":null,"is_lead":false,"saved_state":{"id":3027,"name":"University of Calgary, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1612,"fairsharing_record_id":2087,"organisation_id":278,"relation":"maintains","created_at":"2021-09-30T09:25:13.704Z","updated_at":"2021-09-30T09:25:13.704Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1614,"fairsharing_record_id":2087,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:13.768Z","updated_at":"2021-09-30T09:25:13.768Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1615,"fairsharing_record_id":2087,"organisation_id":521,"relation":"maintains","created_at":"2021-09-30T09:25:13.793Z","updated_at":"2021-09-30T09:25:13.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":521,"name":"Cincinnati Children's Hospital Medical Center, OH, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1610,"fairsharing_record_id":2087,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:13.622Z","updated_at":"2021-09-30T09:32:07.035Z","grant_id":1476,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"P41 HD064556","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2088","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:24.119Z","metadata":{"doi":"10.25504/FAIRsharing.dstf7h","name":"The UC Irvine ChemDB","status":"ready","contacts":[{"contact_name":"Pierre Baldi","contact_email":"pfbaldi@ics.uci.edu"}],"homepage":"http://cdb.ics.uci.edu","identifier":2088,"description":"ChemDB is a chemical database containing nearly 5M commercially available small molecules, important for use as synthetic building blocks, probes in systems biology and as leads for the discovery of drugs and other useful compounds.","abbreviation":"ChemDB","data_curation":{"url":"https://cdb.ics.uci.edu/cgibin/supplement/Implementation.py","type":"manual/automated"},"support_links":[{"url":"http://cdb.ics.uci.edu/cgibin/tutorial/help/ReactionTutorialHelp.htm","type":"Training documentation"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000557","bsg-d000557"],"name":"FAIRsharing record for: The UC Irvine ChemDB","abbreviation":"ChemDB","url":"https://fairsharing.org/10.25504/FAIRsharing.dstf7h","doi":"10.25504/FAIRsharing.dstf7h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChemDB is a chemical database containing nearly 5M commercially available small molecules, important for use as synthetic building blocks, probes in systems biology and as leads for the discovery of drugs and other useful compounds.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11778},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12688}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Life Science","Biomedical Science","Systems Biology","Preclinical Studies"],"domains":["Drug","Small molecule","Target"],"taxonomies":["Not applicable"],"user_defined_tags":["Drug Target"],"countries":["United States"],"publications":[{"id":265,"pubmed_id":16174682,"title":"ChemDB: a public database of small molecules and related chemoinformatics resources.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti683","authors":"Chen J,Swamidass SJ,Dou Y,Bruand J,Baldi P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti683","created_at":"2021-09-30T08:22:48.666Z","updated_at":"2021-09-30T08:22:48.666Z"},{"id":525,"pubmed_id":17599932,"title":"ChemDB update--full-text search and virtual chemical space.","year":2007,"url":"http://doi.org/10.1093/bioinformatics/btm341","authors":"Chen JH., Linstead E., Swamidass SJ., Wang D., Baldi P.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btm341","created_at":"2021-09-30T08:23:17.278Z","updated_at":"2021-09-30T08:23:17.278Z"}],"licence_links":[{"licence_name":"ChemDB No commercial use without permission","licence_id":122,"licence_url":"http://cdb.ics.uci.edu/","link_id":1719,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1718,"relation":"undefined"}],"grants":[{"id":1616,"fairsharing_record_id":2088,"organisation_id":1382,"relation":"maintains","created_at":"2021-09-30T09:25:13.868Z","updated_at":"2021-09-30T09:25:13.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":1382,"name":"Institute for Genomics and Bioinformatics, University of California, Irvine, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1618,"fairsharing_record_id":2088,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:13.948Z","updated_at":"2021-09-30T09:25:13.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1619,"fairsharing_record_id":2088,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:13.987Z","updated_at":"2021-09-30T09:29:41.482Z","grant_id":360,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"LM-07443-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1617,"fairsharing_record_id":2088,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:13.906Z","updated_at":"2021-09-30T09:29:45.921Z","grant_id":392,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0513376","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8239,"fairsharing_record_id":2088,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:41.040Z","updated_at":"2021-09-30T09:31:41.092Z","grant_id":1282,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EIA-0321390","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2106","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:52.314Z","metadata":{"doi":"10.25504/FAIRsharing.ybxnhg","name":"The Zebrafish Information Network","status":"ready","contacts":[{"contact_name":"Doug Howe","contact_email":"dhowe@zfin.org","contact_orcid":"0000-0001-5831-7439"}],"homepage":"https://zfin.org/","citations":[{"doi":"10.1093/nar/gky1090","pubmed_id":30407545,"publication_id":2073}],"identifier":2106,"description":"The Zebrafish Information Network, ZFIN, serves as the primary community database resource for the laboratory use of zebrafish. We develop and support integrated zebrafish genetic, genomic, developmental and physiological information and link this information extensively to corresponding data in other model organism and human databases.","abbreviation":"ZFIN","data_curation":{"url":"https://zfin.atlassian.net/wiki/spaces/general/pages/4952883201/Data+Curation+Workflow","type":"manual"},"support_links":[{"url":"zfinadmn@zfin.org","name":"General Contact","type":"Support email"},{"url":"zfinadmin@uoregon.edu","name":"General Contact","type":"Support email"},{"url":"https://wiki.zfin.org/display/general/ZFIN+Tips","name":"Help and Tips","type":"Help documentation"},{"url":"https://zfin.org/zf_info/glossary.html","name":"ZFIN Glossary","type":"Help documentation"},{"url":"https://zfin.atlassian.net/wiki/spaces/news/overview","name":"News","type":"Help documentation"},{"url":"https://wiki.zfin.org/display/general/ZFIN+Zebrafish+Nomenclature+Conventions","name":"Zebrafish Nomenclature Conventions","type":"Help documentation"},{"url":"https://twitter.com/zfinmod","name":"@zfinmod","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Zebrafish_Information_Network","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1997,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010421","name":"re3data:r3d100010421","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002560","name":"SciCrunch:RRID:SCR_002560","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://zfin.org/action/submit-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000575","bsg-d000575"],"name":"FAIRsharing record for: The Zebrafish Information Network","abbreviation":"ZFIN","url":"https://fairsharing.org/10.25504/FAIRsharing.ybxnhg","doi":"10.25504/FAIRsharing.ybxnhg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Zebrafish Information Network, ZFIN, serves as the primary community database resource for the laboratory use of zebrafish. We develop and support integrated zebrafish genetic, genomic, developmental and physiological information and link this information extensively to corresponding data in other model organism and human databases.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10800},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10969},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11101},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16180}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Animal Physiology","Genetics","Developmental Biology"],"domains":["Expression data","Bibliography","Model organism","Disease process modeling","Mutation","Phenotype","Gene","Allele","Genome"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":644,"pubmed_id":16381936,"title":"The Zebrafish Information Network: the zebrafish model organism database.","year":2005,"url":"http://doi.org/10.1093/nar/gkj086","authors":"Sprague J, Bayraktaroglu L, Clements D, Conlin T, Fashena D, Frazer K, Haendel M, Howe DG, Mani P, Ramachandran S, Schaper K, Segerdell E, Song P, Sprunger B, Taylor S, Van Slyke CE, Westerfield M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj086","created_at":"2021-09-30T08:23:30.887Z","updated_at":"2021-09-30T08:23:30.887Z"},{"id":651,"pubmed_id":21036866,"title":"ZFIN: enhancements and updates to the Zebrafish Model Organism Database.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1077","authors":"Bradford Y, Conlin T, Dunn N, Fashena D, Frazer K, Howe DG, Knight J, Mani P, Martin R, Moxon SA, Paddock H, Pich C, Ramachandran S, Ruef BJ, Ruzicka L, Bauer Schaper H, Schaper K, Shao X, Singer A, Sprague J, Sprunger B, Van Slyke C, Westerfield M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq1077","created_at":"2021-09-30T08:23:31.835Z","updated_at":"2021-09-30T08:23:31.835Z"},{"id":1190,"pubmed_id":12519991,"title":"The Zebrafish Information Network (ZFIN): the zebrafish model organism database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg027","authors":"Sprague J,Clements D,Conlin T,Edwards P,Frazer K,Schaper K,Segerdell E,Song P,Sprunger B,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg027","created_at":"2021-09-30T08:24:32.330Z","updated_at":"2021-09-30T11:29:02.478Z"},{"id":1195,"pubmed_id":10354586,"title":"Zebrafish in the Net.","year":1999,"url":"http://doi.org/10.1016/s0168-9525(99)01741-2","authors":"Westerfield M,Doerry E,Douglas S","journal":"Trends Genet","doi":"10.1016/s0168-9525(99)01741-2","created_at":"2021-09-30T08:24:32.815Z","updated_at":"2021-09-30T08:24:32.815Z"},{"id":1212,"pubmed_id":20836073,"title":"Exploring zebrafish genomic, functional and phenotypic data using ZFIN.","year":2010,"url":"http://doi.org/10.1002/0471250953.bi0118s31","authors":"Ramachandran S,Ruef B,Pich C,Sprague J","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0118s31.","created_at":"2021-09-30T08:24:35.075Z","updated_at":"2021-09-30T08:24:35.075Z"},{"id":2072,"pubmed_id":21924170,"title":"Data extraction, transformation, and dissemination through ZFIN.","year":2011,"url":"http://doi.org/10.1016/B978-0-12-374814-0.00017-3","authors":"Howe DG, Frazer K, Fashena D, Ruzicka L, Bradford Y, Ramachandran S, Ruef BJ, Van Slyke C, Singer A, Westerfield M.","journal":"Methods Cell Biol.","doi":"10.1016/B978-0-12-374814-0.00017-3","created_at":"2021-09-30T08:26:13.601Z","updated_at":"2021-09-30T08:26:13.601Z"},{"id":2073,"pubmed_id":30407545,"title":"The Zebrafish Information Network: new support for non-coding genes, richer Gene Ontology annotations and the Alliance of Genome Resources.","year":2018,"url":"http://doi.org/10.1093/nar/gky1090","authors":"Ruzicka L,Howe DG,Ramachandran S,Toro S,Van Slyke CE,Bradford YM,Eagle A,Fashena D,Frazer K,Kalita P,Mani P,Martin R,Moxon ST,Paddock H,Pich C,Schaper K,Shao X,Singer A,Westerfield M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1090","created_at":"2021-09-30T08:26:13.722Z","updated_at":"2021-09-30T11:29:27.886Z"},{"id":2100,"pubmed_id":23074187,"title":"ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics.","year":2012,"url":"http://doi.org/10.1093/nar/gks938","authors":"Howe DG, Bradford YM, Conlin T, Eagle AE, Fashena D, Frazer K, Knight J, Mani P, Martin R, Moxon SA, Paddock H, Pich C, Ramachandran S, Ruef BJ, Ruzicka L, Schaper K, Shao X, Singer A, Sprunger B, Van Slyke CE, Westerfield M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks938","created_at":"2021-09-30T08:26:16.633Z","updated_at":"2021-09-30T08:26:16.633Z"},{"id":2170,"pubmed_id":17991680,"title":"The Zebrafish Information Network: the zebrafish model organism database provides expanded support for genotypes and phenotypes.","year":2007,"url":"http://doi.org/10.1093/nar/gkm956","authors":"Sprague J., Bayraktaroglu L., Bradford Y. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm956","created_at":"2021-09-30T08:26:24.566Z","updated_at":"2021-09-30T08:26:24.566Z"}],"licence_links":[{"licence_name":"ZFIN Terms of Use","licence_id":882,"licence_url":"https://wiki.zfin.org/display/general/WARRANTY+AND+LIABILITY+DISCLAIMER%2C+OWNERSHIP%2C+AND+LIMITS+ON+USE","link_id":48,"relation":"undefined"}],"grants":[{"id":1672,"fairsharing_record_id":2106,"organisation_id":3110,"relation":"maintains","created_at":"2021-09-30T09:25:16.104Z","updated_at":"2021-09-30T09:25:16.104Z","grant_id":null,"is_lead":true,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2107","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-25T20:38:31.759Z","metadata":{"doi":"10.25504/FAIRsharing.se7ewy","name":"Compendium of Protein Lysine Modifications","status":"ready","contacts":[{"contact_name":"Yu Xue","contact_email":"xueyu@mail.hust.edu.cn"}],"homepage":"https://cplm.biocuckoo.cn/","citations":[{"doi":"10.1093/nar/gkab849","pubmed_id":null,"publication_id":4205}],"identifier":2107,"description":"CPLM (Compendium of Protein Lysine Modifications) is a database for various post-translational modifications (PTMs) specifically occurred at the side-chain amino group of lysine residues in proteins.","abbreviation":"CPLM","data_curation":{"type":"not found"},"support_links":[{"url":"https://cplm.biocuckoo.cn/Userguide.php","name":"User Guide","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000577","bsg-d000577"],"name":"FAIRsharing record for: Compendium of Protein Lysine Modifications","abbreviation":"CPLM","url":"https://fairsharing.org/10.25504/FAIRsharing.se7ewy","doi":"10.25504/FAIRsharing.se7ewy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CPLM (Compendium of Protein Lysine Modifications) is a database for various post-translational modifications (PTMs) specifically occurred at the side-chain amino group of lysine residues in proteins.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein acetylation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1124,"pubmed_id":21059677,"title":"CPLA 1.0: an integrated database of protein lysine acetylation.","year":2010,"url":"http://doi.org/10.1093/nar/gkq939","authors":"Liu Z., Cao J., Gao X., Zhou Y., Wen L., Yang X., Yao X., Ren J., Xue Y.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq939","created_at":"2021-09-30T08:24:24.490Z","updated_at":"2021-09-30T08:24:24.490Z"},{"id":1169,"pubmed_id":24214993,"title":"CPLM: a database of protein lysine modifications.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1093","authors":"Liu Z,Wang Y,Gao T,Pan Z,Cheng H,Yang Q,Cheng Z,Guo A,Ren J,Xue Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1093","created_at":"2021-09-30T08:24:29.905Z","updated_at":"2021-09-30T11:29:01.801Z"},{"id":4205,"pubmed_id":null,"title":"CPLM 4.0: an updated database with rich annotations for protein lysine modifications","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab849","authors":"Zhang, Weizhi; Tan, Xiaodan; Lin, Shaofeng; Gou, Yujie; Han, Cheng; Zhang, Chi; Ning, Wanshan; Wang, Chenwei; Xue, Yu; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab849","created_at":"2024-03-25T19:31:13.448Z","updated_at":"2024-03-25T19:31:13.448Z"}],"licence_links":[],"grants":[{"id":1673,"fairsharing_record_id":2107,"organisation_id":1272,"relation":"maintains","created_at":"2021-09-30T09:25:16.141Z","updated_at":"2024-03-25T19:30:59.639Z","grant_id":null,"is_lead":true,"saved_state":{"id":1272,"name":"Huazhong University of Science and Technology, China","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2090","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:36.584Z","metadata":{"doi":"10.25504/FAIRsharing.cpneh8","name":"LIPID MAPS","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"info@lipidmaps.org"}],"homepage":"http://www.lipidmaps.org","citations":[],"identifier":2090,"description":"LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003. We strive to produce new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. LIPID MAPS® is currently funded by a multi-institutional grant from Wellcome, held jointly by Cardiff University, University of California San Diego, the Babraham Institute Cambridge, and Swansea University, as well as an Innovation Study funded by ELIXIR. This current phase will see that LIPID MAPS® is maintained and importantly, further developed in line with the global demand and development of lipidomics. LIPID MAPS® has an internationally recognized classification system and the largest curated lipid structure database in the world.","abbreviation":"LIPID MAPS","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.lipidmaps.org/resources/tutorials/index.html","type":"Training documentation"},{"url":"https://twitter.com/lipidmaps","type":"Twitter"},{"url":"https://www.lipidmaps.org/databases/lmsd/classification_updates","name":"Classification Updates","type":"Other"},{"url":"https://www.lipidmaps.org/databases/lmsd/overview","name":"Lipid Classification System Overview","type":"Help documentation"},{"url":"https://www.lipidmaps.org/resources/standard","name":"Standards","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012315","name":"re3data:r3d100012315","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006579","name":"SciCrunch:RRID:SCR_006579","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.lipidmaps.org/about/information","name":"Sustained Source Funding"},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.lipidmaps.org/about/information","name":"Data Preservation \u0026 Sustainability"},"data_deposition_condition":{"url":"https://www.lipidmaps.org/resources/data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000559","bsg-d000559"],"name":"FAIRsharing record for: LIPID MAPS","abbreviation":"LIPID MAPS","url":"https://fairsharing.org/10.25504/FAIRsharing.cpneh8","doi":"10.25504/FAIRsharing.cpneh8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003. We strive to produce new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. LIPID MAPS® is currently funded by a multi-institutional grant from Wellcome, held jointly by Cardiff University, University of California San Diego, the Babraham Institute Cambridge, and Swansea University, as well as an Innovation Study funded by ELIXIR. This current phase will see that LIPID MAPS® is maintained and importantly, further developed in line with the global demand and development of lipidomics. LIPID MAPS® has an internationally recognized classification system and the largest curated lipid structure database in the world.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18162}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Endocrinology","Life Science","Metabolomics","Biomedical Science","Omics","Systems Biology"],"domains":["Mass spectrum","Taxonomic classification","Lipid","Omics data analysis","Small molecule","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":518,"pubmed_id":17098933,"title":"LMSD: LIPID MAPS structure database.","year":2006,"url":"http://doi.org/10.1093/nar/gkl838","authors":"Sud M., Fahy E., Cotter D., Brown A., Dennis EA., Glass CK., Merrill AH., Murphy RC., Raetz CR., Russell DW., Subramaniam S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl838","created_at":"2021-09-30T08:23:16.517Z","updated_at":"2021-09-30T08:23:16.517Z"},{"id":520,"pubmed_id":17584797,"title":"LIPID MAPS online tools for lipid research.","year":2007,"url":"http://doi.org/10.1093/nar/gkm324","authors":"Fahy E., Sud M., Cotter D., Subramaniam S.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm324","created_at":"2021-09-30T08:23:16.759Z","updated_at":"2021-09-30T08:23:16.759Z"},{"id":2298,"pubmed_id":19098281,"title":"Update of the LIPID MAPS comprehensive classification system for lipids.","year":2008,"url":"http://doi.org/10.1194/jlr.R800095-JLR200","authors":"Fahy E,Subramaniam S,Murphy RC,Nishijima M,Raetz CR,Shimizu T,Spener F,van Meer G,Wakelam MJ,Dennis EA","journal":"J Lipid Res","doi":"10.1194/jlr.R800095-JLR200","created_at":"2021-09-30T08:26:41.097Z","updated_at":"2021-09-30T08:26:41.097Z"},{"id":4036,"pubmed_id":37855672,"title":"LIPID MAPS: update to databases and tools for the lipidomics community","year":2023,"url":"http://doi.org/10.1093/nar/gkad896","authors":"Conroy, Matthew J; Andrews, Robert M; Andrews, Simon; Cockayne, Lauren; Dennis, Edward A; Fahy, Eoin; Gaud, Caroline; Griffiths, William J; Jukes, Geoff; Kolchin, Maksim; Mendivelso, Karla; Lopez-Clavijo, Andrea F; Ready, Caroline; Subramaniam, Shankar; O’Donnell, Valerie B; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkad896","created_at":"2023-10-26T07:41:30.773Z","updated_at":"2023-10-26T07:41:30.773Z"},{"id":4037,"pubmed_id":33037133,"title":"Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures","year":2020,"url":"http://dx.doi.org/10.1194/jlr.s120001025","authors":"Liebisch, Gerhard; Fahy, Eoin; Aoki, Junken; Dennis, Edward A.; Durand, Thierry; Ejsing, Christer S.; Fedorova, Maria; Feussner, Ivo; Griffiths, William J.; Köfeler, Harald; Merrill, Alfred H.; Murphy, Robert C.; O'Donnell, Valerie B.; Oskolkova, Olga; Subramaniam, Shankar; Wakelam, Michael J.O.; Spener, Friedrich; ","journal":"Journal of Lipid Research","doi":"10.1194/jlr.s120001025","created_at":"2023-10-30T23:10:12.551Z","updated_at":"2023-10-30T23:10:12.551Z"},{"id":4038,"pubmed_id":23549332,"title":"Shorthand notation for lipid structures derived from mass spectrometry","year":2013,"url":"http://dx.doi.org/10.1194/jlr.m033506","authors":"Liebisch, Gerhard; Vizcaíno, Juan Antonio; Köfeler, Harald; Trötzmüller, Martin; Griffiths, William J.; Schmitz, Gerd; Spener, Friedrich; Wakelam, Michael J.O.; ","journal":"Journal of Lipid Research","doi":"10.1194/jlr.m033506","created_at":"2023-10-30T23:13:46.051Z","updated_at":"2023-10-30T23:13:46.051Z"},{"id":4039,"pubmed_id":15722563,"title":"A comprehensive classification system for lipids","year":2005,"url":"http://dx.doi.org/10.1194/jlr.e400004-jlr200","authors":"Fahy, Eoin; Subramaniam, Shankar; Brown, H. Alex; Glass, Christopher K.; Merrill, Alfred H.; Murphy, Robert C.; Raetz, Christian R.H.; Russell, David W.; Seyama, Yousuke; Shaw, Walter; Shimizu, Takao; Spener, Friedrich; van Meer, Gerrit; VanNieuwenhze, Michael S.; White, Stephen H.; Witztum, Joseph L.; Dennis, Edward A.; ","journal":"Journal of Lipid Research","doi":"10.1194/jlr.e400004-jlr200","created_at":"2023-10-30T23:15:16.392Z","updated_at":"2023-10-30T23:15:16.392Z"}],"licence_links":[{"licence_name":"LIPID MAPS Terms of Use","licence_id":493,"licence_url":"http://www.lipidmaps.org/about/terms_of_use.html","link_id":532,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":531,"relation":"undefined"}],"grants":[{"id":1621,"fairsharing_record_id":2090,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:14.065Z","updated_at":"2021-09-30T09:25:14.065Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1623,"fairsharing_record_id":2090,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:14.145Z","updated_at":"2021-09-30T09:25:14.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11054,"fairsharing_record_id":2090,"organisation_id":183,"relation":"maintains","created_at":"2023-10-26T07:46:02.402Z","updated_at":"2023-10-26T07:46:02.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":183,"name":"BBSRC Babraham Institute, Cambridge, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11056,"fairsharing_record_id":2090,"organisation_id":3033,"relation":"collaborates_on","created_at":"2023-10-26T07:46:02.666Z","updated_at":"2023-10-26T07:46:02.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":3033,"name":"University of California San Diego","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":11055,"fairsharing_record_id":2090,"organisation_id":3926,"relation":"maintains","created_at":"2023-10-26T07:46:02.402Z","updated_at":"2023-10-26T07:46:02.402Z","grant_id":null,"is_lead":true,"saved_state":{"id":3926,"name":"Cardiff University","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaUlEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--aa80268b31c748cbe3f6d48ed7a806cf5657e34a/LM_logo%20400x400.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2091","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:54:13.776Z","metadata":{"doi":"10.25504/FAIRsharing.an4drj","name":"Knockout Mouse Project","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"mmrrc@ucdavis.edu"}],"homepage":"https://www.mmrrc.org/catalog/StrainCatalogSearchForm.php?search_query=KOMP%20Repository","citations":[],"identifier":2091,"description":"Knockout mutant mice strains. The KOMP repository is a resource of mouse embryonic stem (ES) cells containing a null mutation in every gene in the mouse genome. The KOMP collection of mice, ES Cells, and vectors are now distributed through the Mutant Mouse Resource and Research Center at UC Davis.","abbreviation":"KOMP","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.mmrrc.org/catalog/overview_Major_Collection.php#108","name":"About the KOMP Collection at the MMRRC","type":"Help documentation"},{"url":"https://mmrrc.ucdavis.edu/es-cell-protocols/","name":"ES Cell Protocols","type":"Help documentation"},{"url":"https://mmrrc.ucdavis.edu/genotyping-protocols/","name":"Genotyping Protocols","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","deprecation_date":"2021-12-06","deprecation_reason":"KOMP Repository mice and ES cells are available from the MMRRC at UC Davis. You can find the KOMP Repository collection of lines in the MMRRC catalog, whose URL is now provided as the homepage for this record.. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000560","bsg-d000560"],"name":"FAIRsharing record for: Knockout Mouse Project","abbreviation":"KOMP","url":"https://fairsharing.org/10.25504/FAIRsharing.an4drj","doi":"10.25504/FAIRsharing.an4drj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Knockout mutant mice strains. The KOMP repository is a resource of mouse embryonic stem (ES) cells containing a null mutation in every gene in the mouse genome. The KOMP collection of mice, ES Cells, and vectors are now distributed through the Mutant Mouse Resource and Research Center at UC Davis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene knockout","Gene","Genetic strain"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":543,"pubmed_id":15340423,"title":"The knockout mouse project.","year":2004,"url":"http://doi.org/10.1038/ng0904-921","authors":"Austin CP., et al.","journal":"Nat. Genet.","doi":"10.1038/ng0904-921","created_at":"2021-09-30T08:23:19.286Z","updated_at":"2021-09-30T08:23:19.286Z"}],"licence_links":[],"grants":[{"id":1624,"fairsharing_record_id":2091,"organisation_id":1922,"relation":"maintains","created_at":"2021-09-30T09:25:14.177Z","updated_at":"2021-09-30T09:25:14.177Z","grant_id":null,"is_lead":false,"saved_state":{"id":1922,"name":"Mutant Mouse Resource and Research Center (MMRRC) at UC Davis","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1625,"fairsharing_record_id":2091,"organisation_id":2805,"relation":"maintains","created_at":"2021-09-30T09:25:14.212Z","updated_at":"2021-09-30T09:25:14.212Z","grant_id":null,"is_lead":true,"saved_state":{"id":2805,"name":"The Mouse Biology Program at UC Davis","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1626,"fairsharing_record_id":2091,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:14.244Z","updated_at":"2021-09-30T09:25:14.244Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2097","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:03:29.017Z","metadata":{"doi":"10.25504/FAIRsharing.vkr57k","name":"GWAS Central","status":"ready","contacts":[{"contact_name":"GWAS Central Helpdesk","contact_email":"help@gwascentral.org"}],"homepage":"https://www.gwascentral.org/","citations":[{"doi":"10.1093/nar/gkz895","pubmed_id":31612961,"publication_id":2886}],"identifier":2097,"description":"GWAS Central stores genome-wide association study data. The database content comprises direct submissions received from GWAS authors and consortia in addition to actively gathered data sets from various public sources. GWAS data are discoverable from the perspective of genetic markers, genes, genome regions or phenotypes, via graphical visualizations and detailed downloadable data reports.","abbreviation":"GWAS Central","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgkac1017","type":"manual/automated"},"support_links":[{"url":"tb143@leicester.ac.uk","name":"Tim Beck","type":"Support email"},{"url":"https://help.gwascentral.org/how-to-guides/","name":"How-To Guides","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.gwascentral.org","name":"Help Pages","type":"Help documentation"},{"url":"https://help.gwascentral.org/about/contact/","name":"Contact Information","type":"Help documentation"},{"url":"https://help.gwascentral.org/about/","name":"About GWAS Central","type":"Help documentation"},{"url":"https://help.gwascentral.org/category/news/","name":"News","type":"Help documentation"},{"url":"http://feeds.feedburner.com/gwascentral","name":"GWAS Central RSS","type":"Blog/News"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010565","name":"re3data:r3d100010565","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006170","name":"SciCrunch:RRID:SCR_006170","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://help.gwascentral.org/submit-data/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000566","bsg-d000566"],"name":"FAIRsharing record for: GWAS Central","abbreviation":"GWAS Central","url":"https://fairsharing.org/10.25504/FAIRsharing.vkr57k","doi":"10.25504/FAIRsharing.vkr57k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GWAS Central stores genome-wide association study data. The database content comprises direct submissions received from GWAS authors and consortia in addition to actively gathered data sets from various public sources. GWAS data are discoverable from the perspective of genetic markers, genes, genome regions or phenotypes, via graphical visualizations and detailed downloadable data reports.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12689}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Genetic marker","Phenotype","Gene","Genome-wide association study","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":545,"pubmed_id":18948288,"title":"HGVbaseG2P: a central genetic association database.","year":2008,"url":"http://doi.org/10.1093/nar/gkn748","authors":"Thorisson GA., Lancaster O., Free RC., Hastings RK., Sarmah P., Dash D., Brahmachari SK., Brookes AJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn748","created_at":"2021-09-30T08:23:19.485Z","updated_at":"2021-09-30T08:23:19.485Z"},{"id":2886,"pubmed_id":31612961,"title":"GWAS Central: a comprehensive resource for the discovery and comparison of genotype and phenotype data from genome-wide association studies.","year":2019,"url":"http://doi.org/10.1093/nar/gkz895","authors":"Beck T,Shorter T,Brookes AJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz895","created_at":"2021-09-30T08:27:55.263Z","updated_at":"2021-09-30T11:29:48.238Z"},{"id":3863,"pubmed_id":null,"title":"GWAS Central: an expanding resource for finding and visualising genotype and phenotype data from genome-wide association studies","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1017","authors":"Beck, Tim; Rowlands, Thomas; Shorter, Tom; Brookes, Anthony J; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1017","created_at":"2023-05-16T11:48:35.598Z","updated_at":"2023-05-16T11:48:35.598Z"}],"licence_links":[{"licence_name":"GWAS Central Disclaimer","licence_id":371,"licence_url":"https://help.gwascentral.org/disclaimer/","link_id":389,"relation":"undefined"}],"grants":[{"id":1642,"fairsharing_record_id":2097,"organisation_id":916,"relation":"funds","created_at":"2021-09-30T09:25:14.949Z","updated_at":"2021-09-30T09:29:49.941Z","grant_id":425,"is_lead":false,"saved_state":{"id":916,"name":"European Commission CORDIS FP5","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1641,"fairsharing_record_id":2097,"organisation_id":3077,"relation":"maintains","created_at":"2021-09-30T09:25:14.908Z","updated_at":"2021-09-30T09:25:14.908Z","grant_id":null,"is_lead":true,"saved_state":{"id":3077,"name":"University of Leicester, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcGdDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d472653a1daf7e0a8b010aa245612f40569ea230/gwas-central-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2098","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:12.541Z","metadata":{"doi":"10.25504/FAIRsharing.5ey5w6","name":"PseudoBase","status":"ready","contacts":[{"contact_name":"Eke van Batenburg","contact_email":"EkevanBatenburg2009@live.com"}],"homepage":"http://www.ekevanbatenburg.nl/pb","identifier":2098,"description":"PseudoBase is a collection of RNA pseudoknots that have been made available for retrieval to the scientific community.","abbreviation":"PseudoBase","data_curation":{"type":"manual"},"year_creation":1997,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010563","name":"re3data:r3d100010563","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ekevanbatenburg.nl/PKBASE/PKBPUT.HTML","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000567","bsg-d000567"],"name":"FAIRsharing record for: PseudoBase","abbreviation":"PseudoBase","url":"https://fairsharing.org/10.25504/FAIRsharing.5ey5w6","doi":"10.25504/FAIRsharing.5ey5w6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PseudoBase is a collection of RNA pseudoknots that have been made available for retrieval to the scientific community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science","Biomedical Science"],"domains":["Ribonucleic acid","Pathogen","Pseudoknot"],"taxonomies":["Anopheles gambiae","Bacillus subtilis","Bombyx mori","Bordetella pertussis","Bos taurus","Drosophila","Escherichia coli","Homo sapiens","Neurospora intermedia","Rattus rattus","Viruses"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":414,"pubmed_id":18988624,"title":"PseudoBase++: an extension of PseudoBase for easy searching, formatting and visualization of pseudoknots.","year":2008,"url":"http://doi.org/10.1093/nar/gkn806","authors":"Taufer M,Licon A,Araiza R,Mireles D,van Batenburg FH,Gultyaev AP,Leung MY","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn806","created_at":"2021-09-30T08:23:05.006Z","updated_at":"2021-09-30T11:28:46.426Z"},{"id":548,"pubmed_id":10592225,"title":"PseudoBase: a database with RNA pseudoknots.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.201","authors":"van Batenburg FH., Gultyaev AP., Pleij CW., Ng J., Oliehoek J.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/28.1.201","created_at":"2021-09-30T08:23:19.785Z","updated_at":"2021-09-30T08:23:19.785Z"},{"id":559,"pubmed_id":11125088,"title":"PseudoBase: structural information on RNA pseudoknots.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.194","authors":"van Batenburg FH., Gultyaev AP., Pleij CW.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.194","created_at":"2021-09-30T08:23:21.085Z","updated_at":"2021-09-30T08:23:21.085Z"}],"licence_links":[],"grants":[{"id":1643,"fairsharing_record_id":2098,"organisation_id":3078,"relation":"maintains","created_at":"2021-09-30T09:25:14.987Z","updated_at":"2021-09-30T09:25:14.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":3078,"name":"University of Leiden, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1644,"fairsharing_record_id":2098,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:15.032Z","updated_at":"2021-09-30T09:25:15.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1645,"fairsharing_record_id":2098,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:15.070Z","updated_at":"2021-09-30T09:25:15.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2099","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-09T14:34:01.397Z","metadata":{"doi":"10.25504/FAIRsharing.h8r843","name":"PRINTS","status":"deprecated","contacts":[{"contact_name":"Teresa K Attwood","contact_email":"teresa.k.attwood@manchester.ac.uk"}],"homepage":"http://www.bioinf.manchester.ac.uk/dbbrowser/PRINTS/PRINTS.html","citations":[{"doi":"10.1093/nar/gkg030","pubmed_id":12520033,"publication_id":1584}],"identifier":2099,"description":"PRINTS is a collection of groups of conserved protein motifs, called fingerprints, used to define a protein family. A fingerprint is a group of conserved motifs used to characterize a protein family. Usually, the motifs do not overlap, though they may be contiguous in 3D space. Fingerprints can encode protein folds and functionalities more flexibly than single motifs. Please note that the last release of this database on the PRINTS website was in 2007.","abbreviation":"PRINTS","data_curation":{"type":"not found"},"support_links":[{"url":"http://130.88.97.239/PRINTS/printsman.html","name":"User Guide","type":"Help documentation"},{"url":"http://130.88.97.239/PRINTS/relnotes.html","name":"Release Notes","type":"Help documentation"},{"url":"http://130.88.97.239/PRINTS/whatsnew.html","name":"What's New","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/prints-a-protein-family-database-with-a-difference","name":"Prints a protein family database with a difference","type":"TeSS links to training materials"},{"url":"https://en.wikipedia.org/wiki/PRINTS","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":1994,"data_versioning":"not found","associated_tools":[{"url":"http://www.bioinf.manchester.ac.uk/dbbrowser/fingerPRINTScan/","name":"FingerPRINTScan"}],"deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000568","bsg-d000568"],"name":"FAIRsharing record for: PRINTS","abbreviation":"PRINTS","url":"https://fairsharing.org/10.25504/FAIRsharing.h8r843","doi":"10.25504/FAIRsharing.h8r843","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRINTS is a collection of groups of conserved protein motifs, called fingerprints, used to define a protein family. A fingerprint is a group of conserved motifs used to characterize a protein family. Usually, the motifs do not overlap, though they may be contiguous in 3D space. Fingerprints can encode protein folds and functionalities more flexibly than single motifs. Please note that the last release of this database on the PRINTS website was in 2007.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12690}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Structural Biology","Biology"],"domains":["Protein domain","Binding motif","Protein"],"taxonomies":["All"],"user_defined_tags":["Polypeptide motif"],"countries":["United Kingdom"],"publications":[{"id":1570,"pubmed_id":10705433,"title":"FingerPRINTScan: intelligent searching of the PRINTS motif database.","year":2000,"url":"http://doi.org/10.1093/bioinformatics/15.10.799","authors":"Scordis P., Flower DR., Attwood TK.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/15.10.799","created_at":"2021-09-30T08:25:16.003Z","updated_at":"2021-09-30T08:25:16.003Z"},{"id":1584,"pubmed_id":12520033,"title":"PRINTS and its automatic supplement, prePRINTS.","year":2003,"url":"http://doi.org/10.1093/nar/gkg030","authors":"Attwood TK,Bradley P,Flower DR,Gaulton A,Maudling N,Mitchell AL,Moulton G,Nordle A,Paine K,Taylor P,Uddin A,Zygouri C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg030","created_at":"2021-09-30T08:25:17.559Z","updated_at":"2021-09-30T11:29:14.711Z"},{"id":1586,"pubmed_id":22508994,"title":"The PRINTS database: a fine-grained protein sequence annotation and analysis resource--its status in 2012.","year":2012,"url":"http://doi.org/10.1093/database/bas019","authors":"Attwood TK,Coletta A,Muirhead G,Pavlopoulou A,Philippou PB,Popov I,Roma-Mateo C,Theodosiou A,Mitchell AL","journal":"Database (Oxford)","doi":"10.1093/database/bas019","created_at":"2021-09-30T08:25:17.852Z","updated_at":"2021-09-30T08:25:17.852Z"}],"licence_links":[],"grants":[{"id":1647,"fairsharing_record_id":2099,"organisation_id":1749,"relation":"maintains","created_at":"2021-09-30T09:25:15.140Z","updated_at":"2021-09-30T09:25:15.140Z","grant_id":null,"is_lead":false,"saved_state":{"id":1749,"name":"Manchester Center for Integrative Systems Biology, Manchester, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1646,"fairsharing_record_id":2099,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:15.104Z","updated_at":"2021-09-30T09:25:15.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1648,"fairsharing_record_id":2099,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:15.233Z","updated_at":"2021-09-30T09:25:15.233Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1649,"fairsharing_record_id":2099,"organisation_id":1318,"relation":"funds","created_at":"2021-09-30T09:25:15.270Z","updated_at":"2021-09-30T09:31:57.836Z","grant_id":1407,"is_lead":false,"saved_state":{"id":1318,"name":"IMPACT Europe","grant":"213037","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1651,"fairsharing_record_id":2099,"organisation_id":904,"relation":"funds","created_at":"2021-09-30T09:25:15.349Z","updated_at":"2021-09-30T09:32:02.027Z","grant_id":1437,"is_lead":false,"saved_state":{"id":904,"name":"EuroKUP COST Action","grant":"BM0702","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9217,"fairsharing_record_id":2099,"organisation_id":933,"relation":"funds","created_at":"2022-04-11T12:07:23.044Z","updated_at":"2022-04-11T12:07:23.062Z","grant_id":1663,"is_lead":false,"saved_state":{"id":933,"name":"European FP7 EMBRACE project","grant":"LHSG-CT-2004-512092","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2105","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:57:43.904Z","metadata":{"doi":"10.25504/FAIRsharing.ctwd7b","name":"Antimicrobial Peptide Database","status":"deprecated","contacts":[{"contact_name":"Guangshun Wang","contact_email":"gwang@unmc.edu"}],"homepage":"https://wangapd3.com/main.php","identifier":2105,"description":"The Antimicrobial Peptide Database (APD) contains information on antimicrobial peptides from across a wide taxonomic range. It includes a glossary, nomenclature, classification, information search, prediction, design, and statistics of AMPs. The antimicrobial peptides in this database contain less than 100 amino acid residues, are in the mature and active form, and primarily from natural sources, ranging from bacteria, fungi, plants, to animals.","abbreviation":"APD","data_curation":{"type":"not found"},"support_links":[{"url":"https://wangapd3.com/what_new.php","name":"News","type":"Blog/News"},{"url":"https://wangapd3.com/FAQ.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://wangapd3.com/class.php","name":"Classification","type":"Help documentation"},{"url":"https://wangapd3.com/structure.php","name":"3D Structure","type":"Help documentation"},{"url":"https://wangapd3.com/tools.php","name":"Additional Tools","type":"Help documentation"},{"url":"https://wangapd3.com/Glossary_wang.php","name":"Glossary","type":"Help documentation"},{"url":"https://wangapd3.com/about.php","name":"About","type":"Help documentation"},{"url":"https://wangapd3.com/naming.php","name":"Nomenclature","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://aps.unmc.edu/AP/prediction/prediction_main.php","name":"analyze"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012901","name":"re3data:r3d100012901","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006606","name":"SciCrunch:RRID:SCR_006606","portal":"SciCrunch"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000574","bsg-d000574"],"name":"FAIRsharing record for: Antimicrobial Peptide Database","abbreviation":"APD","url":"https://fairsharing.org/10.25504/FAIRsharing.ctwd7b","doi":"10.25504/FAIRsharing.ctwd7b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Antimicrobial Peptide Database (APD) contains information on antimicrobial peptides from across a wide taxonomic range. It includes a glossary, nomenclature, classification, information search, prediction, design, and statistics of AMPs. The antimicrobial peptides in this database contain less than 100 amino acid residues, are in the mature and active form, and primarily from natural sources, ranging from bacteria, fungi, plants, to animals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Computational biological predictions","Peptide","Antimicrobial","Classification","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":10,"pubmed_id":18957441,"title":"APD2: the updated antimicrobial peptide database and its application in peptide design.","year":2008,"url":"http://doi.org/10.1093/nar/gkn823","authors":"Wang G,Li X,Wang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn823","created_at":"2021-09-30T08:22:21.596Z","updated_at":"2021-09-30T11:28:41.482Z"},{"id":553,"pubmed_id":14681488,"title":"APD: the Antimicrobial Peptide Database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh025","authors":"Wang Z., Wang G.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh025","created_at":"2021-09-30T08:23:20.368Z","updated_at":"2021-09-30T08:23:20.368Z"},{"id":589,"pubmed_id":26602694,"title":"APD3: the antimicrobial peptide database as a tool for research and education.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1278","authors":"Wang G,Li X,Wang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1278","created_at":"2021-09-30T08:23:24.582Z","updated_at":"2021-09-30T11:28:47.527Z"}],"licence_links":[],"grants":[{"id":1671,"fairsharing_record_id":2105,"organisation_id":3104,"relation":"maintains","created_at":"2021-09-30T09:25:16.066Z","updated_at":"2021-09-30T09:25:16.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":3104,"name":"University of Nebraska Medical Center","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1670,"fairsharing_record_id":2105,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:16.025Z","updated_at":"2021-09-30T09:31:44.621Z","grant_id":1307,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01AI105147","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2089","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:51:57.966Z","metadata":{"doi":"10.25504/FAIRsharing.qje0v8","name":"Database of Interacting Proteins","status":"ready","contacts":[{"contact_name":"DIP General Contact","contact_email":"dip@mbi.ucla.edu"}],"homepage":"https://dip.doe-mbi.ucla.edu/dip/Main.cgi","citations":[{"doi":"10.1093/nar/gkh086","pubmed_id":14681454,"publication_id":1531}],"identifier":2089,"description":"The database of interacting protein (DIP) database stores experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. The data stored within the DIP database were curated, both manually by expert curators and automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the core DIP data.","abbreviation":"DIP","data_curation":{"url":"https://dip.doe-mbi.ucla.edu/dip/Main.cgi","type":"manual/automated","notes":"The data stored within the DIP database were curated, both, manually by expert curators and also automatically using computational approaches."},"support_links":[{"url":"https://dip.doe-mbi.ucla.edu/dip/Guide.cgi","name":"User Guide","type":"Help documentation"},{"url":"https://dip.doe-mbi.ucla.edu/dip/Stat.cgi","name":"Statistics","type":"Help documentation"},{"url":"https://dip.doe-mbi.ucla.edu/dip/Articles.cgi","name":"DIP-related Publications","type":"Help documentation"}],"year_creation":1999,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010670","name":"re3data:r3d100010670","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003167","name":"SciCrunch:RRID:SCR_003167","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dip.doe-mbi.ucla.edu/dip/Submissions.cgi","type":"controlled","notes":"Peer-reviewed protein interaction data should be submitted."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000558","bsg-d000558"],"name":"FAIRsharing record for: Database of Interacting Proteins","abbreviation":"DIP","url":"https://fairsharing.org/10.25504/FAIRsharing.qje0v8","doi":"10.25504/FAIRsharing.qje0v8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The database of interacting protein (DIP) database stores experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. The data stored within the DIP database were curated, both manually by expert curators and automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the core DIP data.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10799},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10967},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11099},{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11216}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biology"],"domains":["Protein interaction","Network model","High-throughput screening","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1355,"pubmed_id":11125102,"title":"DIP: The Database of Interacting Proteins: 2001 update.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.239","authors":"Xenarios I,Fernandez E,Salwinski L,Duan XJ,Thompson MJ,Marcotte EM,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.239","created_at":"2021-09-30T08:24:51.598Z","updated_at":"2021-09-30T11:29:06.443Z"},{"id":1356,"pubmed_id":10592249,"title":"DIP: the database of interacting proteins.","year":1999,"url":"http://doi.org/10.1093/nar/28.1.289","authors":"Xenarios I,Rice DW,Salwinski L,Baron MK,Marcotte EM,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/28.1.289","created_at":"2021-09-30T08:24:51.689Z","updated_at":"2021-09-30T11:29:06.584Z"},{"id":1527,"pubmed_id":11752321,"title":"DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.303","authors":"Xenarios I,Salwinski L,Duan XJ,Higney P,Kim SM,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/30.1.303","created_at":"2021-09-30T08:25:10.949Z","updated_at":"2021-09-30T11:29:12.485Z"},{"id":1531,"pubmed_id":14681454,"title":"The Database of Interacting Proteins: 2004 update.","year":2003,"url":"http://doi.org/10.1093/nar/gkh086","authors":"Salwinski L,Miller CS,Smith AJ,Pettit FK,Bowie JU,Eisenberg D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh086","created_at":"2021-09-30T08:25:11.391Z","updated_at":"2021-09-30T11:29:12.826Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":118,"relation":"undefined"},{"licence_name":"DIP Terms of Use","licence_id":244,"licence_url":"https://dip.doe-mbi.ucla.edu/dip/termsofuse.html","link_id":126,"relation":"undefined"}],"grants":[{"id":1620,"fairsharing_record_id":2089,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:14.023Z","updated_at":"2021-09-30T09:25:14.023Z","grant_id":null,"is_lead":true,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2157","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-26T08:03:41.556Z","metadata":{"doi":"10.25504/FAIRsharing.jjka8c","name":"Knowledge Network for Biocomplexity","status":"ready","contacts":[{"contact_name":"KNB Help","contact_email":"knb-help@nceas.ucsb.edu","contact_orcid":"0000-0003-0077-4738"}],"homepage":"https://knb.ecoinformatics.org","citations":[],"identifier":2157,"description":"The Knowledge Network for Biocomplexity (KNB) is an international repository intended to facilitate ecological and environmental research. KNB was created to share, discover, access and interpret complex ecological data. Contextual information provided with KNB data allows scientists to integrate and analyze data. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The foundation of the KNB is the detailed metadata provided by researchers, which promotes both automated and manual integration of data into new projects. As part of the KNB effort, data management software is developed in a free and open source manner, so other groups can build upon the tools. The KNB is powered by the Metacat data management system, and is optimized for handling data sets described using the Ecological Metadata Language, but can store any XML-based metadata document.","abbreviation":"KNB","data_curation":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","type":"automated","notes":"The automated MetaDIG engine is used to provide quality assessment reports on each submitted dataset."},"support_links":[{"url":"https://knb.ecoinformatics.org/help","name":"Help Pages","type":"Help documentation"},{"url":"https://knb.ecoinformatics.org/profile","name":"Summary Statistics","type":"Help documentation"},{"url":"https://knb.ecoinformatics.org/knb/docs/","name":"Metacat Administrator's Guide","type":"Help documentation"},{"url":"https://knb.ecoinformatics.org/about","name":"About KNB","type":"Help documentation"},{"url":"https://twitter.com/nceas","name":"@nceas","type":"Twitter"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"https://knb.ecoinformatics.org/knb/docs","name":"Metacat"},{"url":"https://knb.ecoinformatics.org/tools","name":"Morpho"},{"url":"https://knb.ecoinformatics.org/tools","name":"DataONE R Client"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010092","name":"re3data:r3d100010092","portal":"re3data"}],"data_access_condition":{"url":"https://knb.ecoinformatics.org/about","type":"open"},"resource_sustainability":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","name":"\u003eAbout the KNB \u003e Partnered with DataONE \u003e provides a distributed framework and sustainable cyberinfrastructure"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","name":"\u003e Data preservation"},"data_deposition_condition":{"url":"https://knb.ecoinformatics.org/about#sharing-your-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000629","bsg-d000629"],"name":"FAIRsharing record for: Knowledge Network for Biocomplexity","abbreviation":"KNB","url":"https://fairsharing.org/10.25504/FAIRsharing.jjka8c","doi":"10.25504/FAIRsharing.jjka8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Knowledge Network for Biocomplexity (KNB) is an international repository intended to facilitate ecological and environmental research. KNB was created to share, discover, access and interpret complex ecological data. Contextual information provided with KNB data allows scientists to integrate and analyze data. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The foundation of the KNB is the detailed metadata provided by researchers, which promotes both automated and manual integration of data into new projects. As part of the KNB effort, data management software is developed in a free and open source manner, so other groups can build upon the tools. The KNB is powered by the Metacat data management system, and is optimized for handling data sets described using the Ecological Metadata Language, but can store any XML-based metadata document.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Ecology","Earth Science"],"domains":["Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1908,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3271,"relation":"undefined"}],"grants":[{"id":1828,"fairsharing_record_id":2157,"organisation_id":652,"relation":"maintains","created_at":"2021-09-30T09:25:21.994Z","updated_at":"2021-09-30T09:25:21.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":652,"name":"DataONE, Santa Barbara, CA, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1827,"fairsharing_record_id":2157,"organisation_id":1961,"relation":"maintains","created_at":"2021-09-30T09:25:21.964Z","updated_at":"2021-09-30T09:25:21.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":1961,"name":"National Center for Ecological Analysis and Synthesis (NCEAS), Santa Barbara, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1829,"fairsharing_record_id":2157,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:22.036Z","updated_at":"2021-09-30T09:31:25.941Z","grant_id":1166,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB99-80154","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcndDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--5af5ca1c6af6d193f73b410250e30961909ab3d9/knb-logo-tile.png?disposition=inline","exhaustive_licences":false}},{"id":"2161","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:34.494Z","metadata":{"doi":"10.25504/FAIRsharing.6yw6cp","name":"PANGAEA - Data Publisher for Earth and Environmental Science","status":"ready","contacts":[{"contact_name":"Prof. Dr. Frank Oliver Glöckner","contact_email":"info@pangaea.de","contact_orcid":"0000-0001-8528-9023"}],"homepage":"https://www.pangaea.de","citations":[],"identifier":2161,"description":"PANGAEA - Data Publisher for Earth \u0026 Environmental Sciences has an almost 30-year history as an open-access library for archiving, publishing, and disseminating georeferenced data from the Earth, environmental, and biodiversity sciences. Originally evolving from a database for sediment cores, it is operated as a joint facility of the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) and the Center for Marine Environmental Sciences (MARUM) at the University of Bremen. PANGAEA holds a mandate from the World Meteorological Organization (WMO) and is accredited as a World Radiation Monitoring Center (WRMC). It was further accredited as a World Data Center by the International Council for Science (ICS) in 2001 and has been certified with the Core Trust Seal since 2019. \nThe successful cooperation between PANGAEA and the publishing industry along with the correspondent technical implementation enables the cross-referencing of scientific publications and datasets archived as supplements to these publications. PANGAEA is the recommended data repository of numerous international scientific journals.","abbreviation":"PANGAEA","data_curation":{"url":"https://www.pangaea.de/submit/","type":"manual/automated","notes":"All data and metadata are quality checked, harmonized, and processed for machine readability, which allows efficient and reliable re-usage of your data."},"support_links":[{"url":"https://secure.pangaea.de/contact/","name":"Contact Form","type":"Contact form"},{"url":"info@pangaea.de","name":"General Contact","type":"Support email"},{"url":"https://wiki.pangaea.de/wiki/Main_Page","name":"Help","type":"Help documentation"},{"url":"http://www.pangaea.de/tools/latest-datasets.rss","name":"RSS Feed","type":"Blog/News"}],"year_creation":1994,"data_versioning":"no","associated_tools":[{"url":"https://www.elastic.co/products/elasticsearch","name":"Elastic"},{"url":"http://www.panfmp.org","name":"PanFMP"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010134","name":"re3data:r3d100010134","portal":"re3data"}],"data_access_condition":{"url":"https://www.pangaea.de/about/","type":"open"},"resource_sustainability":{"url":"https://www.pangaea.de/about/continuity.php","name":"Continuity plan"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.pangaea.de/about/preservation.php","name":"Preservation plan"},"data_deposition_condition":{"url":"https://www.pangaea.de/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000633","bsg-d000633"],"name":"FAIRsharing record for: PANGAEA - Data Publisher for Earth and Environmental Science","abbreviation":"PANGAEA","url":"https://fairsharing.org/10.25504/FAIRsharing.6yw6cp","doi":"10.25504/FAIRsharing.6yw6cp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PANGAEA - Data Publisher for Earth \u0026 Environmental Sciences has an almost 30-year history as an open-access library for archiving, publishing, and disseminating georeferenced data from the Earth, environmental, and biodiversity sciences. Originally evolving from a database for sediment cores, it is operated as a joint facility of the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) and the Center for Marine Environmental Sciences (MARUM) at the University of Bremen. PANGAEA holds a mandate from the World Meteorological Organization (WMO) and is accredited as a World Radiation Monitoring Center (WRMC). It was further accredited as a World Data Center by the International Council for Science (ICS) in 2001 and has been certified with the Core Trust Seal since 2019. \nThe successful cooperation between PANGAEA and the publishing industry along with the correspondent technical implementation enables the cross-referencing of scientific publications and datasets archived as supplements to these publications. PANGAEA is the recommended data repository of numerous international scientific journals.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10985},{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12982}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Fisheries Science","Environmental Science","Paleontology","Geophysics","Chemistry","Ecology","Biodiversity","Earth Science","Atmospheric Science","Agriculture","Life Science","Freshwater Science","Oceanography","Biology"],"domains":["Marine environment"],"taxonomies":["All"],"user_defined_tags":["Paleoceanography"],"countries":["Germany"],"publications":[{"id":640,"pubmed_id":null,"title":"PANGAEA - an information system for environmental sciences","year":2002,"url":"http://doi.org/10.1016/S0098-3004(02)00039-0","authors":"Diepenbroek, M., Grobe, H., Reinke, M., Schindler, U., Schlitzer, R., Sieger, R., Wefer, G.","journal":"Computers \u0026 Geosciences","doi":"10.1016/S0098-3004(02)00039-0","created_at":"2021-09-30T08:23:30.451Z","updated_at":"2021-09-30T08:23:30.451Z"},{"id":3278,"pubmed_id":null,"title":"Terminology supported archiving and publication of environmental science data in PANGAEA","year":2017,"url":"http://dx.doi.org/10.1016/j.jbiotec.2017.07.016","authors":"Diepenbroek, Michael; Schindler, Uwe; Huber, Robert; Pesant, Stéphane; Stocker, Markus; Felden, Janine; Buss, Melanie; Weinrebe, Matthias; ","journal":"Journal of Biotechnology","doi":"10.1016/j.jbiotec.2017.07.016","created_at":"2022-03-26T09:19:50.492Z","updated_at":"2022-03-26T09:19:50.492Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2641,"relation":"applies_to_content"},{"licence_name":"Pangaea Terms of Use","licence_id":647,"licence_url":"https://www.pangaea.de/about/terms.php","link_id":1312,"relation":"undefined"}],"grants":[{"id":1838,"fairsharing_record_id":2161,"organisation_id":56,"relation":"maintains","created_at":"2021-09-30T09:25:22.350Z","updated_at":"2021-09-30T09:25:22.350Z","grant_id":null,"is_lead":true,"saved_state":{"id":56,"name":"Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research (AWI), Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1839,"fairsharing_record_id":2161,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:22.386Z","updated_at":"2021-09-30T09:25:22.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1841,"fairsharing_record_id":2161,"organisation_id":427,"relation":"maintains","created_at":"2021-09-30T09:25:22.512Z","updated_at":"2021-09-30T09:25:22.512Z","grant_id":null,"is_lead":true,"saved_state":{"id":427,"name":"Center for Marine Environmental Sciences (MARUM), University of Bremen, Bremen, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1843,"fairsharing_record_id":2161,"organisation_id":1505,"relation":"funds","created_at":"2021-09-30T09:25:22.586Z","updated_at":"2021-09-30T09:25:22.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":1505,"name":"International Ocean Discovery Program (IODP), San Diego, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9338,"fairsharing_record_id":2161,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.475Z","updated_at":"2022-04-11T12:07:31.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9381,"fairsharing_record_id":2161,"organisation_id":915,"relation":"funds","created_at":"2022-04-11T12:07:34.510Z","updated_at":"2022-04-11T12:07:34.510Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2162","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:34.348Z","metadata":{"doi":"10.25504/FAIRsharing.xd3wmy","name":"Environmental Data Initiative Data Portal","status":"ready","contacts":[{"contact_name":"Mark Servilla","contact_email":"mark.servilla@gmail.com","contact_orcid":"0000-0002-3192-7306"}],"homepage":"https://portal.edirepository.org/","citations":[],"identifier":2162,"description":"The Environmental Data Initiative is an NSF-funded project meant to accelerate curation and archive of environmental data. With mature repository functionality and data curators on staff it supports the large and varied community of environmental researchers. The repository is open to all environmental research data and hosts data that provide a context to evaluate the nature and pace of ecological change, to interpret its effects, and to forecast the range of future biological responses to change. DOIs are assigned making all datasets first class, citable research objects and strict version control allows for immutability while also supporting updates to long-term datasets.","abbreviation":"EDI Data Portal","data_curation":{"url":"https://edirepository.org/data/publish-data","type":"manual"},"support_links":[{"url":"https://environmentaldatainitiative.org/contact/","type":"Contact form"},{"url":"info@environmentaldatainitiative.org","type":"Support email"},{"url":"cgries@wisc.edu","name":"Corinna Gries","type":"Support email"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://portal.edirepository.org/nis/metadataPreviewer.jsp","name":"Metadata Previewer"},{"url":"https://github.com/EDIorg/EMLassemblyline","name":"Metadata editor EMLassemblyline in R 2.5.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010272","name":"re3data:r3d100010272","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://edirepository.org/data/publish-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000634","bsg-d000634"],"name":"FAIRsharing record for: Environmental Data Initiative Data Portal","abbreviation":"EDI Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.xd3wmy","doi":"10.25504/FAIRsharing.xd3wmy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Environmental Data Initiative is an NSF-funded project meant to accelerate curation and archive of environmental data. With mature repository functionality and data curators on staff it supports the large and varied community of environmental researchers. The repository is open to all environmental research data and hosts data that provide a context to evaluate the nature and pace of ecological change, to interpret its effects, and to forecast the range of future biological responses to change. DOIs are assigned making all datasets first class, citable research objects and strict version control allows for immutability while also supporting updates to long-term datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Plant Ecology","Environmental Science","Microbial Ecology","Zoology","Geophysics","Ecology","Natural Science","Earth Science","Atmospheric Science","Agriculture","Life Science","Microbiology","Oceanography","Biology","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["All"],"user_defined_tags":["Climate change"],"countries":["United States"],"publications":[{"id":2237,"pubmed_id":null,"title":"The contribution and reuse of LTER data in the Provenance Aware Synthesis Tracking Architecture (PASTA) data repository","year":2016,"url":"http://doi.org/https://doi.org/10.1016/j.ecoinf.2016.07.003","authors":"Mark Servilla. James Brunt. Duane Costa. Jeanine McGann. Robert Waide","journal":"Ecological Informatics","doi":"https://doi.org/10.1016/j.ecoinf.2016.07.003","created_at":"2021-09-30T08:26:32.088Z","updated_at":"2021-09-30T08:26:32.088Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":572,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":571,"relation":"undefined"}],"grants":[{"id":1844,"fairsharing_record_id":2162,"organisation_id":3106,"relation":"undefined","created_at":"2021-09-30T09:25:22.628Z","updated_at":"2021-09-30T09:25:22.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":3106,"name":"University of New Mexico","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":8036,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:33.254Z","updated_at":"2021-09-30T09:30:33.303Z","grant_id":762,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1931143","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1846,"fairsharing_record_id":2162,"organisation_id":3152,"relation":"undefined","created_at":"2021-09-30T09:25:22.703Z","updated_at":"2021-09-30T09:25:22.703Z","grant_id":null,"is_lead":false,"saved_state":{"id":3152,"name":"University of Wisconsin-Madison","types":["University"],"is_lead":false,"relation":"undefined"}},{"id":1845,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:22.666Z","updated_at":"2021-09-30T09:29:29.037Z","grant_id":265,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-1629233","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8078,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:48.638Z","updated_at":"2021-09-30T09:30:48.688Z","grant_id":881,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1931174","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8225,"fairsharing_record_id":2162,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:37.982Z","updated_at":"2021-09-30T09:31:38.034Z","grant_id":1258,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1565103","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2160","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:40.122Z","metadata":{"doi":"10.25504/FAIRsharing.fe48sc","name":"Moroccan Genetic Disease Database","status":"ready","contacts":[{"contact_name":"Hicham Charoute","contact_email":"hcharoute@hotmail.fr","contact_orcid":"0000-0002-9338-6744"}],"homepage":"http://mgdd.pasteur.ma/index.php","identifier":2160,"description":"The Moroccan Genetic Disease Database (MGDD) collect and document mutations and frequencies of polymorphisms reported in the Moroccan population. The information in the MGDD allow researchers and clinicians to find mutations associated to a given disease or gene of interest, and they can also find polymorphisms associated with susceptibility to a genetic disease or individual responses to pharmaceutical drugs or environmental factors.","abbreviation":"MGDD","data_curation":{"type":"not found"},"support_links":[{"url":"hamid.barakat@pasteur.ma","type":"Support email"},{"url":"http://mgdd.pasteur.ma/statistics.php","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://mgdd.pasteur.ma/submission.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000632","bsg-d000632"],"name":"FAIRsharing record for: Moroccan Genetic Disease Database","abbreviation":"MGDD","url":"https://fairsharing.org/10.25504/FAIRsharing.fe48sc","doi":"10.25504/FAIRsharing.fe48sc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Moroccan Genetic Disease Database (MGDD) collect and document mutations and frequencies of polymorphisms reported in the Moroccan population. The information in the MGDD allow researchers and clinicians to find mutations associated to a given disease or gene of interest, and they can also find polymorphisms associated with susceptibility to a genetic disease or individual responses to pharmaceutical drugs or environmental factors.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Mutation","Genetic polymorphism","Genome-wide association study","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Morocco"],"publications":[{"id":639,"pubmed_id":23860041,"title":"The Moroccan Genetic Disease Database (MGDD): a database for DNA variations related to inherited disorders and disease susceptibility.","year":2013,"url":"http://doi.org/10.1038/ejhg.2013.151","authors":"Hicham Charoute, Halima Nahili, Omar Abidi, Khalid Gabi, Hassan Rouba, Malika Fakiri and Abdelhamid Barakat.","journal":"Eur J Hum Genet","doi":"10.1038/ejhg.2013.151","created_at":"2021-09-30T08:23:30.343Z","updated_at":"2021-09-30T08:23:30.343Z"}],"licence_links":[{"licence_name":"MIRTAR is free for academic and non-profit use","licence_id":516,"licence_url":"http://mirtarbase.mbc.nctu.edu.tw/cache/download/LICENSE","link_id":836,"relation":"undefined"}],"grants":[{"id":1837,"fairsharing_record_id":2160,"organisation_id":2293,"relation":"maintains","created_at":"2021-09-30T09:25:22.311Z","updated_at":"2021-09-30T09:25:22.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2293,"name":"Pasteur Institute of Morocco","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2156","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:30:07.768Z","metadata":{"doi":"10.25504/FAIRsharing.txkh36","name":"Database of Genomic Variants Archive","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"eva-helpdesk@ebi.ac.uk"}],"homepage":"http://www.ebi.ac.uk/dgva/","identifier":2156,"description":"The Database of Genomic Variants archive (DGVa) is a repository that provides archiving, accessioning and distribution of publicly available genomic structural variants, in all species.","abbreviation":"DGVa","data_curation":{"type":"not found"},"support_links":[{"url":"https://tess.elixir-europe.org/materials/dgva-quick-tour","name":"DGVa: Quick tour","type":"TeSS links to training materials"},{"url":"https://www.ebi.ac.uk/dgva/dgva-quick-tour-ebi-train-online","name":"DGVa: Quick tour (EBI)","type":"Training documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010814","name":"re3data:r3d100010814","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004896","name":"SciCrunch:RRID:SCR_004896","portal":"SciCrunch"}],"deprecation_date":"2020-02-10","deprecation_reason":"This resource has been deprecated, with read-only access being available for a period of time.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000628","bsg-d000628"],"name":"FAIRsharing record for: Database of Genomic Variants Archive","abbreviation":"DGVa","url":"https://fairsharing.org/10.25504/FAIRsharing.txkh36","doi":"10.25504/FAIRsharing.txkh36","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Genomic Variants archive (DGVa) is a repository that provides archiving, accessioning and distribution of publicly available genomic structural variants, in all species.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10983}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics"],"domains":["Genetic polymorphism","Curated information","Structure","Sequence variant"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":616,"relation":"undefined"}],"grants":[{"id":1825,"fairsharing_record_id":2156,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:21.906Z","updated_at":"2021-09-30T09:25:21.906Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1826,"fairsharing_record_id":2156,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:21.939Z","updated_at":"2021-09-30T09:25:21.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2165","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:42.094Z","metadata":{"doi":"10.25504/FAIRsharing.8njqwk","name":"Candidate Cancer Gene Database","status":"ready","contacts":[{"contact_name":"Tim Starr","contact_email":"star0044@umn.edu","contact_orcid":"0000-0002-6308-3451"}],"homepage":"http://ccgd-starrlab.oit.umn.edu/","identifier":2165,"description":"The Candidate Cancer Gene Database (CCGD) was developed to disseminate the results of transposon-based forward genetic screens in mice that identify candidate cancer genes. The purpose of the database is to allow cancer researchers to quickly determine whether or not a gene, or list of genes, has been identified as a potential cancer driver in a forward genetic screen in mice.","abbreviation":"CCGD","data_curation":{"url":"http://ccgd-starrlab.oit.umn.edu/help.html","type":"manual"},"support_links":[{"url":"ccgd@umn.edu","type":"Support email"},{"url":"http://ccgd-starrlab.oit.umn.edu/tutorial.php","type":"Help documentation"},{"url":"http://ccgd-starrlab.oit.umn.edu/help.php","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://ccgd-starrlab.oit.umn.edu/help.html","type":"open","notes":"Information and publication citation should be sent to ccgd@umn.edu."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000637","bsg-d000637"],"name":"FAIRsharing record for: Candidate Cancer Gene Database","abbreviation":"CCGD","url":"https://fairsharing.org/10.25504/FAIRsharing.8njqwk","doi":"10.25504/FAIRsharing.8njqwk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Candidate Cancer Gene Database (CCGD) was developed to disseminate the results of transposon-based forward genetic screens in mice that identify candidate cancer genes. The purpose of the database is to allow cancer researchers to quickly determine whether or not a gene, or list of genes, has been identified as a potential cancer driver in a forward genetic screen in mice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Cancer","Transposable element","Gene"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1068,"pubmed_id":25190456,"title":"The Candidate Cancer Gene Database: a database of cancer driver genes from forward genetic screens in mice.","year":2014,"url":"http://doi.org/10.1093/nar/gku770","authors":"Abbott KL,Nyre ET,Abrahante J,Ho YY,Isaksson Vogel R,Starr TK","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku770","created_at":"2021-09-30T08:24:18.273Z","updated_at":"2021-09-30T11:28:57.893Z"}],"licence_links":[],"grants":[{"id":8034,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:32.393Z","updated_at":"2021-09-30T09:30:32.432Z","grant_id":755,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54-MD008620","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1849,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"maintains","created_at":"2021-09-30T09:25:22.811Z","updated_at":"2021-09-30T09:25:22.811Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1850,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:22.846Z","updated_at":"2021-09-30T09:28:53.684Z","grant_id":4,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"UL1TR000114","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7888,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:26.514Z","updated_at":"2021-09-30T09:29:26.564Z","grant_id":252,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1U19CA157345-01A1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7908,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:38.900Z","updated_at":"2021-09-30T09:29:38.952Z","grant_id":342,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P50CA101955","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8052,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:39.586Z","updated_at":"2021-09-30T09:30:39.630Z","grant_id":811,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P30-CA77598","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8127,"fairsharing_record_id":2165,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:06.304Z","updated_at":"2021-09-30T09:31:06.355Z","grant_id":1019,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5R00CA151672","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2166","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-04-29T14:09:22.914Z","metadata":{"doi":"10.25504/FAIRsharing.rhpjhv","name":"FlyMine","status":"ready","contacts":[{"contact_name":"FlyMine help desk","contact_email":"info@flymine.org"}],"homepage":"https://www.flymine.org","citations":[{"doi":"10.1186/gb-2007-8-7-r129","pubmed_id":17615057,"publication_id":1945}],"identifier":2166,"description":"FlyMine is an integrated database of genomic, expression and protein data for Drosophila, Anopheles and C. elegans. Its main focus is genomic and proteomics data for Drosophila and other insects. It provides access to integrated data at a number of different levels, from browsing to construction of complex queries, which can be executed on either single items or lists.","abbreviation":"FlyMine","data_curation":{"type":"not found"},"support_links":[{"url":"https://intermineorg.wordpress.com/","name":"InterMine blog","type":"Blog/News"},{"url":"https://intermineorg.wordpress.com/flymine/help/","name":"FlyMine Help","type":"Help documentation"},{"url":"https://intermineorg.wordpress.com/flymine/about/","name":"About FlyMine","type":"Help documentation"},{"url":"http://www.flymine.org/flymine/dataCategories.do","name":"Data Sources","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/flymine-intro-videos","name":"FlyMine intro videos","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2002,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000638","bsg-d000638"],"name":"FAIRsharing record for: FlyMine","abbreviation":"FlyMine","url":"https://fairsharing.org/10.25504/FAIRsharing.rhpjhv","doi":"10.25504/FAIRsharing.rhpjhv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FlyMine is an integrated database of genomic, expression and protein data for Drosophila, Anopheles and C. elegans. Its main focus is genomic and proteomics data for Drosophila and other insects. It provides access to integrated data at a number of different levels, from browsing to construction of complex queries, which can be executed on either single items or lists.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11537},{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11671}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Biology"],"domains":["Expression data","Protein interaction","Gene expression","Protein","Gene","Genome"],"taxonomies":["Anopheles gambiae","Caenorhabditis elegans","Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1945,"pubmed_id":17615057,"title":"FlyMine: an integrated database for Drosophila and Anopheles genomics.","year":2007,"url":"http://doi.org/10.1186/gb-2007-8-7-r129","authors":"Lyne R,Smith R,Rutherford K,Wakeling M,Varley A,Guillier F,Janssens H,Ji W,Mclaren P,North P,Rana D,Riley T,Sullivan J,Watkins X,Woodbridge M,Lilley K,Russell S,Ashburner M,Mizuguchi K,Micklem G","journal":"Genome Biol","doi":"10.1186/gb-2007-8-7-r129","created_at":"2021-09-30T08:25:58.864Z","updated_at":"2021-09-30T08:25:58.864Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":528,"relation":"undefined"}],"grants":[{"id":1851,"fairsharing_record_id":2166,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:22.873Z","updated_at":"2021-09-30T09:25:22.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1853,"fairsharing_record_id":2166,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:22.940Z","updated_at":"2021-09-30T09:25:22.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1852,"fairsharing_record_id":2166,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:25:22.897Z","updated_at":"2021-09-30T09:25:22.897Z","grant_id":null,"is_lead":true,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2167","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T16:19:57.448Z","metadata":{"doi":"10.25504/FAIRsharing.22z3re","name":"MouseMine @ MGI","status":"ready","contacts":[{"contact_name":"MouseMine support","contact_email":"support@mousemine.org"}],"homepage":"https://www.mousemine.org/mousemine/begin.do","citations":[{"doi":"10.1007/s00335-015-9573-z","pubmed_id":26092688,"publication_id":1361}],"identifier":2167,"description":"A database of integrated mouse data from MGI, powered by InterMine. MouseMine is member of InterMOD, a consortium of model organism databases dedicated to making cross-species data analysis easier through ongoing coordination and collaborative system development.","abbreviation":"MouseMine","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgkaa1083","type":"manual/automated"},"support_links":[{"url":"https://tess.elixir-europe.org/materials/mousemine-at-mgi","name":"MouseMine at MGI","type":"Help documentation"},{"url":"http://www.mousemine.org/mousemine/dataCategories.do","name":"Data Categories","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://proto.informatics.jax.org/prototypes/mgv/","name":"Multiple Genome Viewer"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.informatics.jax.org/submit.shtml","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000639","bsg-d000639"],"name":"FAIRsharing record for: MouseMine @ MGI","abbreviation":"MouseMine","url":"https://fairsharing.org/10.25504/FAIRsharing.22z3re","doi":"10.25504/FAIRsharing.22z3re","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database of integrated mouse data from MGI, powered by InterMine. MouseMine is member of InterMOD, a consortium of model organism databases dedicated to making cross-species data analysis easier through ongoing coordination and collaborative system development.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11672}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Expression data","Model organism","Disease process modeling","Phenotype","Disease","Genome"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1361,"pubmed_id":26092688,"title":"MouseMine: a new data warehouse for MGI.","year":2015,"url":"http://doi.org/10.1007/s00335-015-9573-z","authors":"Motenko H,Neuhauser SB,O'Keefe M,Richardson JE","journal":"Mamm Genome","doi":"10.1007/s00335-015-9573-z","created_at":"2021-09-30T08:24:52.193Z","updated_at":"2021-09-30T08:24:52.193Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":696,"relation":"undefined"}],"grants":[{"id":1855,"fairsharing_record_id":2167,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:22.989Z","updated_at":"2021-09-30T09:29:42.379Z","grant_id":367,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"HG004834","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1854,"fairsharing_record_id":2167,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:25:22.964Z","updated_at":"2021-09-30T09:25:22.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1856,"fairsharing_record_id":2167,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:23.019Z","updated_at":"2021-09-30T09:25:23.019Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2168","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:24.466Z","metadata":{"doi":"10.25504/FAIRsharing.1nshwd","name":"Open Source Brain","status":"ready","contacts":[{"contact_name":"Padraig Gleeson","contact_email":"p.gleeson@ucl.ac.uk","contact_orcid":"0000-0001-5963-8576"}],"homepage":"http://www.opensourcebrain.org","citations":[],"identifier":2168,"description":"Open Source Brain is a resource for sharing and collaboratively developing computational models of neural systems.","abbreviation":"OSB","data_curation":{"url":"https://docs.opensourcebrain.org/General/FAQ.html","type":"manual"},"support_links":[{"url":"https://groups.google.com/forum/#!forum/osb-discuss","type":"Mailing list"},{"url":"https://twitter.com/osbteam","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://docs.opensourcebrain.org/General/FAQ.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000640","bsg-d000640"],"name":"FAIRsharing record for: Open Source Brain","abbreviation":"OSB","url":"https://fairsharing.org/10.25504/FAIRsharing.1nshwd","doi":"10.25504/FAIRsharing.1nshwd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Source Brain is a resource for sharing and collaboratively developing computational models of neural systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Life Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[],"licence_links":[],"grants":[{"id":1857,"fairsharing_record_id":2168,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:23.069Z","updated_at":"2021-09-30T09:25:23.069Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2176","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-26T10:02:03.762Z","metadata":{"doi":"10.25504/FAIRsharing.jwra3e","name":"MobiDB","status":"ready","contacts":[{"contact_name":"Silvio C.E. Tosatto","contact_email":"silvio.tosatto@unipd.it","contact_orcid":"0000-0003-4525-7793"}],"homepage":"https://mobidb.org/","citations":[{"doi":"10.1093/nar/gkaa1058","pubmed_id":33237329,"publication_id":2019}],"identifier":2176,"description":"MobiDB is a database of intrinsically disordered regions (IDRs) and related features from various sources and prediction tools. Different levels of reliability and different features are reported as different and independent annotations. The database features three levels of annotation: manually curated, indirect and predicted. MobiDB annotates the binding modes of disordered proteins, whether they undergo disorder-to-order transitions or remain disordered in the bound state. In addition, disordered regions undergoing liquid-liquid phase separation or post-translational modifications are defined.","abbreviation":"MobiDB","data_curation":{"type":"automated"},"support_links":[{"url":"MobiDB@ngp-net.bio.unipd.it","name":"General Contact","type":"Support email"},{"url":"https://mobidb.org/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://mobidb.org/about","name":"About MobiDB","type":"Help documentation"},{"url":"https://mobidb.org/releaseNotes","name":"Release Notes","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/MobiDB","name":"MobiDB Wikipedia Entry","type":"Wikipedia"}],"year_creation":2011,"data_versioning":"no","associated_tools":[{"url":"https://github.com/BioComputingUP/MobiDB-lite","name":"MobiDB-lite"},{"url":"https://github.com/BioComputingUP/FLIPPER","name":"FLIPPER"},{"url":"https://ring.biocomputingup.it/","name":"RING"},{"url":"https://github.com/BioComputingUP/AlphaFold-disorder","name":"AlphaFold-disorder"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Data drawn from other repositories"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000649","bsg-d000649"],"name":"FAIRsharing record for: MobiDB","abbreviation":"MobiDB","url":"https://fairsharing.org/10.25504/FAIRsharing.jwra3e","doi":"10.25504/FAIRsharing.jwra3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MobiDB is a database of intrinsically disordered regions (IDRs) and related features from various sources and prediction tools. Different levels of reliability and different features are reported as different and independent annotations. The database features three levels of annotation: manually curated, indirect and predicted. MobiDB annotates the binding modes of disordered proteins, whether they undergo disorder-to-order transitions or remain disordered in the bound state. In addition, disordered regions undergoing liquid-liquid phase separation or post-translational modifications are defined.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11538}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Biology"],"domains":["Molecular structure","Binding","Post-translational protein modification","Curated information","Intrinsically disordered proteins","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":241,"pubmed_id":29136219,"title":"MobiDB 3.0: More annotations for intrinsic disorder, conformational diversity and interactions in proteins","year":2017,"url":"https://doi.org/10.1093/nar/gkx1071","authors":"Piovesan, D, Tabaro, F, Paladin, F, Necci, M, Mičetić, I, Camilloni, C, Davey, N, Dosztanyi, Z, Meszaros, B, Monzon, A, Parisi, G, Schad, E, Sormanni, P, Tompa, P, Vendruscolo, M, Vranken, W, Tosatto, SCE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1071","created_at":"2021-09-30T08:22:46.041Z","updated_at":"2021-09-30T11:28:29.062Z"},{"id":685,"pubmed_id":22661649,"title":"MobiDB: a comprehensive database of intrinsic protein disorder annotations.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts327","authors":"Di Domenico T, Walsh I, Martin AJ, Tosatto SC.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts327","created_at":"2021-09-30T08:23:35.504Z","updated_at":"2021-09-30T08:23:35.504Z"},{"id":688,"pubmed_id":25361972,"title":"MobiDB 2.0: an improved database of intrinsically disordered and mobile proteins.","year":2014,"url":"http://doi.org/10.1093/nar/gku982","authors":"Emilio Potenza, Tomás Di Domenico, Ian Walsh, and Silvio C.E. Tosatto","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku982","created_at":"2021-09-30T08:23:35.836Z","updated_at":"2021-09-30T08:23:35.836Z"},{"id":2019,"pubmed_id":33237329,"title":"MobiDB: intrinsically disordered proteins in 2021.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1058","authors":"Piovesan D,Necci M,Escobedo N,Monzon AM,Hatos A,Micetic I,Quaglia F,Paladin L,Ramasamy P,Dosztanyi Z,Vranken WF,Davey NE,Parisi G,Fuxreiter M,Tosatto SCE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1058","created_at":"2021-09-30T08:26:07.452Z","updated_at":"2021-09-30T11:29:25.835Z"},{"id":4295,"pubmed_id":36416266,"title":"MobiDB: 10 years of intrinsically disordered proteins.","year":2023,"url":"https://doi.org/10.1093/nar/gkac1065","authors":"Piovesan D, Del Conte A, Clementel D, Monzon AM, Bevilacqua M, Aspromonte MC, Iserte JA, Orti FE, Marino-Buslje C, Tosatto SCE","journal":"Nucleic acids research","doi":"10.1093/nar/gkac1065","created_at":"2024-06-24T10:55:28.874Z","updated_at":"2024-06-24T10:55:28.874Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":482,"relation":"undefined"}],"grants":[{"id":9563,"fairsharing_record_id":2176,"organisation_id":844,"relation":"associated_with","created_at":"2022-05-26T13:29:36.282Z","updated_at":"2022-05-26T13:29:36.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":1880,"fairsharing_record_id":2176,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:23.901Z","updated_at":"2021-09-30T09:25:23.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1881,"fairsharing_record_id":2176,"organisation_id":3001,"relation":"maintains","created_at":"2021-09-30T09:25:23.932Z","updated_at":"2021-09-30T09:25:23.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":3001,"name":"University di Padova, Padova, Italy","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZTQ9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ec88f67f5dcd1730dbfa282ddd5b8c4b35ec4b5f/MobiDB_logo_(vector).png?disposition=inline","exhaustive_licences":false}},{"id":"2177","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-26T09:50:56.205Z","metadata":{"doi":"10.25504/FAIRsharing.pxnqyt","name":"RepeatsDB","status":"ready","contacts":[{"contact_name":"Silvio C.E. Tosatto","contact_email":"silvio.tosatto@unipd.it","contact_orcid":"0000-0003-4525-7793"}],"homepage":"https://repeatsdb.org/","citations":[],"identifier":2177,"description":"RepeatsDB (https://repeatsdb.org/) is a database of annotated tandem repeat protein structures. Tandem repeats pose a difficult problem for the analysis of protein structures, as the underlying sequence can be highly degenerate. Several repeat types haven been studied over the years, but their annotation was done in a case-by-case basis, thus making large-scale analysis difficult. We developed RepeatsDB to fill this gap. Using state-of-the-art repeat detection methods and manual curation, we systematically annotated the Protein Data Bank, predicting 10 745 repeat structures. In all, 2797 structures were classified according to a recently proposed classification schema, which was expanded to accommodate new findings. In addition, detailed annotations were performed in a subset of 321 proteins. These annotations feature information on start and end positions for the repeat regions and units. RepeatsDB is an ongoing effort to systematically classify and annotate structural protein repeats in a consistent way. It provides users with the possibility to access and download high-quality datasets either interactively or programmatically through web services.","abbreviation":"RepeatsDB","data_curation":{"url":"https://repeatsdb.org/about","type":"manual/automated","notes":"RepeatsDB features annotations for tandem repeat proteins."},"support_links":[{"url":"repeatsdb@ngp-net.bio.unipd.it","name":"","type":"Support email"},{"url":"https://repeatsdb.org/help","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"url":"https://repeatsdb.org/help","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000650","bsg-d000650"],"name":"FAIRsharing record for: RepeatsDB","abbreviation":"RepeatsDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pxnqyt","doi":"10.25504/FAIRsharing.pxnqyt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RepeatsDB (https://repeatsdb.org/) is a database of annotated tandem repeat protein structures. Tandem repeats pose a difficult problem for the analysis of protein structures, as the underlying sequence can be highly degenerate. Several repeat types haven been studied over the years, but their annotation was done in a case-by-case basis, thus making large-scale analysis difficult. We developed RepeatsDB to fill this gap. Using state-of-the-art repeat detection methods and manual curation, we systematically annotated the Protein Data Bank, predicting 10 745 repeat structures. In all, 2797 structures were classified according to a recently proposed classification schema, which was expanded to accommodate new findings. In addition, detailed annotations were performed in a subset of 321 proteins. These annotations feature information on start and end positions for the repeat regions and units. RepeatsDB is an ongoing effort to systematically classify and annotate structural protein repeats in a consistent way. It provides users with the possibility to access and download high-quality datasets either interactively or programmatically through web services.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein","Tandem repeat"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":686,"pubmed_id":24311564,"title":"RepeatsDB: a database of tandem repeat protein structures","year":2013,"url":"http://doi.org/10.1093/nar/gkt1175","authors":"Di Domenico T, Potenza E, Walsh I, Parra RG, Giollo M, Minervini G, Piovesan D, Ihsan A, Ferrari C, Kajava AV, Tosatto SC.","journal":"Nucleic Acids Research","doi":"doi:10.1093/nar/gkt1175","created_at":"2021-09-30T08:23:35.611Z","updated_at":"2021-09-30T08:23:35.611Z"},{"id":4298,"pubmed_id":33237313,"title":"RepeatsDB in 2021: improved data and extended classification for protein tandem repeat structures.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa1097","authors":"Paladin L, Bevilacqua M, Errigo S, Piovesan D, Mičetić I, Necci M, Monzon AM, Fabre ML, Lopez JL, Nilsson JF, Rios J, Menna PL, Cabrera M, Buitron MG, Kulik MG, Fernandez-Alberti S, Fornasari MS, Parisi G, Lagares A, Hirsh L, Andrade-Navarro MA, Kajava AV, Tosatto SCE","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa1097","created_at":"2024-06-24T11:26:19.914Z","updated_at":"2024-06-24T11:26:19.914Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":852,"relation":"undefined"}],"grants":[{"id":1882,"fairsharing_record_id":2177,"organisation_id":224,"relation":"maintains","created_at":"2021-09-30T09:25:23.970Z","updated_at":"2021-09-30T09:25:23.970Z","grant_id":null,"is_lead":false,"saved_state":{"id":224,"name":"BioComputing laboratory, University of Padua, Italy","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1883,"fairsharing_record_id":2177,"organisation_id":2657,"relation":"maintains","created_at":"2021-09-30T09:25:24.013Z","updated_at":"2021-09-30T09:25:24.013Z","grant_id":null,"is_lead":false,"saved_state":{"id":2657,"name":"Structural Bioinformatics and Molecular Modelling Group, CRBM, France","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1884,"fairsharing_record_id":2177,"organisation_id":1361,"relation":"maintains","created_at":"2021-09-30T09:25:24.051Z","updated_at":"2021-09-30T09:25:24.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":1361,"name":"Institue of Molecular Biology, gGmbH, Mainz, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbmtFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--fa3ca5860484c14ec656b66520f35a81be329a05/rdb_v3.png?disposition=inline","exhaustive_licences":false}},{"id":"2179","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:36.631Z","metadata":{"doi":"10.25504/FAIRsharing.yk1krv","name":"Eukaryotic Promoter Database","status":"ready","contacts":[{"contact_name":"Philipp Bucher","contact_email":"ask-epd@googlegroups.com","contact_orcid":"0000-0003-4824-885X"}],"homepage":"https://epd.expasy.org","citations":[],"identifier":2179,"description":"The Eukaryotic Promoter Database (EPD) provides accurate transcription start site (TSS) information for promoters of 15 model organisms, from human to yeast to the malaria parasite Plasmodium falciparum. While the original database was a manually curated database based on published experiments, new promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources. Corresponding functional genomics data can be viewed in a genome browser, queried or analyzed via web interfaces, or exported in standard formats like FASTA or BED for subsequent analysis with other tools; of note, EPD is tightly integrated with two tool suites developed by our group: ChIP-Seq and Signal Search Analysis, for analysis of chromatin context and sequence motif respectively. EPD provides promoter viewers, designed with the aim of integrating and displaying information from different sources about, for instance, histone marks, transcription factor-binding sites or SNPs with known phenotypes. These viewers rely upon the UCSC genome browser as a visualization platform, which enables users to view data tracks from EPD jointly with tracks from UCSC or public track hubs.","abbreviation":"EPD","data_curation":{"type":"automated","notes":"New promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources."},"support_links":[{"url":"https://epd.expasy.org/webmail.php","type":"Contact form"},{"url":"https://epd.expasy.org/epd/documents.php","type":"Help documentation"},{"url":"https://twitter.com/EPD_SIB","name":"@EPD_SIB","type":"Twitter"}],"year_creation":1988,"data_versioning":"no","associated_tools":[{"url":"https://epd.expasy.org/ssa/","name":"Signal Search Analysis 2.0"},{"url":"https://epd.expasy.org/chipseq/","name":"ChIP-Seq 1.3"},{"url":"https://epd.expasy.org/epd/EPDnew_study.php","name":"EPDnew analysis tool"},{"url":"https://www.expasy.org/genomics","name":"ExPASy Tools"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000653","bsg-d000653"],"name":"FAIRsharing record for: Eukaryotic Promoter Database","abbreviation":"EPD","url":"https://fairsharing.org/10.25504/FAIRsharing.yk1krv","doi":"10.25504/FAIRsharing.yk1krv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Eukaryotic Promoter Database (EPD) provides accurate transcription start site (TSS) information for promoters of 15 model organisms, from human to yeast to the malaria parasite Plasmodium falciparum. While the original database was a manually curated database based on published experiments, new promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources. Corresponding functional genomics data can be viewed in a genome browser, queried or analyzed via web interfaces, or exported in standard formats like FASTA or BED for subsequent analysis with other tools; of note, EPD is tightly integrated with two tool suites developed by our group: ChIP-Seq and Signal Search Analysis, for analysis of chromatin context and sequence motif respectively. EPD provides promoter viewers, designed with the aim of integrating and displaying information from different sources about, for instance, histone marks, transcription factor-binding sites or SNPs with known phenotypes. These viewers rely upon the UCSC genome browser as a visualization platform, which enables users to view data tracks from EPD jointly with tracks from UCSC or public track hubs.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11364},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12174}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["DNA sequence data","Transcription factor","Promoter"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":205,"pubmed_id":9399872,"title":"The Eukaryotic Promoter Database EPD.","year":1998,"url":"http://doi.org/10.1093/nar/26.1.353","authors":"Cavin Périer R, Junier T, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/26.1.353","created_at":"2021-09-30T08:22:42.347Z","updated_at":"2021-09-30T08:22:42.347Z"},{"id":681,"pubmed_id":10592254,"title":"The eukaryotic promoter database (EPD).","year":1999,"url":"http://doi.org/10.1093/nar/28.1.302","authors":"Périer RC, Praz V, Junier T, Bonnard C, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/28.1.302","created_at":"2021-09-30T08:23:35.044Z","updated_at":"2021-09-30T08:23:35.044Z"},{"id":683,"pubmed_id":9847211,"title":"The Eukaryotic Promoter Database (EPD): recent developments.","year":1998,"url":"http://doi.org/10.1093/nar/27.1.307","authors":"Périer RC, Junier T, Bonnard C, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/27.1.307","created_at":"2021-09-30T08:23:35.294Z","updated_at":"2021-09-30T08:23:35.294Z"},{"id":1428,"pubmed_id":3808945,"title":"Compilation and analysis of eukaryotic POL II promoter sequences","year":1986,"url":"http://doi.org/10.1093/nar/14.24.10009","authors":"Bucher,P. and Trifonov,E.N.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/14.24.10009","created_at":"2021-09-30T08:24:59.693Z","updated_at":"2021-09-30T08:24:59.693Z"},{"id":1429,"pubmed_id":25378343,"title":"The Eukaryotic Promoter Database: expansion of EPDnew and new promoter analysis tools.","year":2014,"url":"http://doi.org/10.1093/nar/gku1111","authors":"Dreos, R., Ambrosini, G., Périer, R., Bucher, P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gku1111","created_at":"2021-09-30T08:24:59.802Z","updated_at":"2021-09-30T08:24:59.802Z"},{"id":2554,"pubmed_id":23193273,"title":"EPD and EPDnew, high-quality promoter resources in the next-generation sequencing era.","year":2012,"url":"http://doi.org/10.1093/nar/gks1233","authors":"Dreos R, Ambrosini G, Cavin Périer R, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gks1233","created_at":"2021-09-30T08:27:13.233Z","updated_at":"2021-09-30T08:27:13.233Z"},{"id":2555,"pubmed_id":16381980,"title":"EPD in its twentieth year: towards complete promoter coverage of selected model organisms.","year":2005,"url":"http://doi.org/10.1093/nar/gkj146","authors":"Schmid CD, Perier R, Praz V, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gkj146","created_at":"2021-09-30T08:27:13.343Z","updated_at":"2021-09-30T08:27:13.343Z"},{"id":2557,"pubmed_id":14681364,"title":"The Eukaryotic Promoter Database EPD: the impact of in silico primer extension.","year":2003,"url":"http://doi.org/10.1093/nar/gkh122","authors":"Schmid CD, Praz V, Delorenzi M, Périer R, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/gkh122","created_at":"2021-09-30T08:27:13.678Z","updated_at":"2021-09-30T08:27:13.678Z"},{"id":2559,"pubmed_id":11752326,"title":"The Eukaryotic Promoter Database, EPD: new entry types and links to gene expression data.","year":2001,"url":"http://doi.org/10.1093/nar/30.1.322","authors":"Praz V, Périer R, Bonnard C, Bucher P.","journal":"Nucleic Acid Res.","doi":"10.1093/nar/30.1.322","created_at":"2021-09-30T08:27:13.894Z","updated_at":"2021-09-30T08:27:13.894Z"},{"id":3502,"pubmed_id":27899657,"title":"The eukaryotic promoter database in its 30th year: focus on non-vertebrate organisms.","year":2017,"url":"https://doi.org/10.1093/nar/gkw1069","authors":"Dreos R, Ambrosini G, Groux R, Cavin Périer R, Bucher P","journal":"Nucleic acids research","doi":"10.1093/nar/gkw1069","created_at":"2022-08-02T07:52:26.774Z","updated_at":"2022-08-02T07:52:26.774Z"}],"licence_links":[],"grants":[{"id":1890,"fairsharing_record_id":2179,"organisation_id":2680,"relation":"funds","created_at":"2021-09-30T09:25:24.281Z","updated_at":"2021-09-30T09:29:22.819Z","grant_id":221,"is_lead":false,"saved_state":{"id":2680,"name":"Federal Statistical Office","grant":"95.0236-1","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1889,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:25:24.258Z","updated_at":"2021-09-30T09:30:56.030Z","grant_id":940,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"31003A_125193","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1888,"fairsharing_record_id":2179,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:24.225Z","updated_at":"2022-08-02T07:50:56.567Z","grant_id":null,"is_lead":true,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":8158,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:31:15.623Z","updated_at":"2021-09-30T09:31:15.683Z","grant_id":1091,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"31-063933","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8194,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:31:26.914Z","updated_at":"2021-09-30T09:31:26.962Z","grant_id":1173,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"31-54782.98","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8265,"fairsharing_record_id":2179,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:31:49.690Z","updated_at":"2021-09-30T09:31:49.746Z","grant_id":1345,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation","grant":"3100A0-104248","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbTRCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--2bb2563b5fffe908d33560e31bf9e6885ac40441/Screenshot%20from%202022-08-02%2008-47-48.png?disposition=inline","exhaustive_licences":false}},{"id":"2180","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:57.777Z","metadata":{"doi":"10.25504/FAIRsharing.zvh04m","name":"Alternative Poly(A) Sites database 2.0","status":"ready","contacts":[{"contact_name":"Leiming You","contact_email":"youleiming@126.com","contact_orcid":"0000-0002-8120-8916"},{"contact_name":"Leiming You","contact_email":"youleiming@bucm.edu.cn","contact_orcid":"0000-0002-8120-8916"}],"homepage":"http://genome.bucm.edu.cn/utr/","citations":[{"doi":"10.1093/nar/gku1076","pubmed_id":25378337,"publication_id":693}],"identifier":2180,"description":"APASdb provides information on Alternative Poly(A) (APA) isoforms for all genes. It describes heterogeneous cleavage sites downstream of poly(A) signals, and maintains near complete coverage for APA sites. APASdb provides the quantification of a given APA variant among transcripts with different APA sites by computing their corresponding normalized-reads. In addition, APASdb supports URL-based retrieval, browsing and display of exon-intron structure, poly(A) signals, poly(A) sites location and usage reads, and 3'-untranslated regions (3'-UTRs). Currently, APASdb involves APA in various biological processes and diseases in human, mouse and zebrafish.","abbreviation":"APASdb 2.0","data_curation":{"url":"https://doi.org/10.1093/nar/gku1076","type":"automated","notes":"Automated annotation of experimental data"},"support_links":[{"url":"http://genome.bucm.edu.cn/utr/mail.php","name":"Contact us","type":"Contact form"},{"url":"http://genome.bucm.edu.cn/utr/APASdbs_help.php","name":"Help Page","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://academic.oup.com/nar/article/43/D1/D59/2437386#87007188","type":"not applicable","notes":"Data is from the owning project only"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000654","bsg-d000654"],"name":"FAIRsharing record for: Alternative Poly(A) Sites database 2.0","abbreviation":"APASdb 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.zvh04m","doi":"10.25504/FAIRsharing.zvh04m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: APASdb provides information on Alternative Poly(A) (APA) isoforms for all genes. It describes heterogeneous cleavage sites downstream of poly(A) signals, and maintains near complete coverage for APA sites. APASdb provides the quantification of a given APA variant among transcripts with different APA sites by computing their corresponding normalized-reads. In addition, APASdb supports URL-based retrieval, browsing and display of exon-intron structure, poly(A) signals, poly(A) sites location and usage reads, and 3'-untranslated regions (3'-UTRs). Currently, APASdb involves APA in various biological processes and diseases in human, mouse and zebrafish.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenetics","Life Science"],"domains":["DNA sequence data","RNA modification","Regulation of gene expression","RNA polyadenylation","Untranslated region"],"taxonomies":["Branchiostoma floridae","Branchiostoma lanceolatum","Danio rerio","Homo sapiens","Mus musculus","Branchiostoma belcheri"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":693,"pubmed_id":25378337,"title":"APASdb: a database describing alternative poly(A) sites and selection of heterogeneous cleavage sites downstream of poly(A) signals.","year":2014,"url":"http://doi.org/10.1093/nar/gku1076","authors":"You L, Wu J, Feng Y, Fu Y, Guo Y, Long L, Zhang H, Luan Y, Tian P, Chen L, Huang G, Huang S, Li Y, Li J, Chen C, Zhang Y, Chen S, Xu A","journal":"Nucleic Acid Research","doi":"10.1093/nar/gku1076","created_at":"2021-09-30T08:23:36.378Z","updated_at":"2021-09-30T08:23:36.378Z"}],"licence_links":[],"grants":[{"id":1891,"fairsharing_record_id":2180,"organisation_id":194,"relation":"maintains","created_at":"2021-09-30T09:25:24.306Z","updated_at":"2023-04-04T06:21:14.217Z","grant_id":null,"is_lead":true,"saved_state":{"id":194,"name":"Beijing University of Chinese Medicine, China","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":1892,"fairsharing_record_id":2180,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:25:24.331Z","updated_at":"2021-09-30T09:29:01.408Z","grant_id":59,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2013CB835304","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7883,"fairsharing_record_id":2180,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:24.200Z","updated_at":"2021-09-30T09:29:24.249Z","grant_id":233,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2011CB946101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8375,"fairsharing_record_id":2180,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:20.017Z","updated_at":"2021-09-30T09:32:20.069Z","grant_id":1571,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2013CB917800","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbjBDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b4acee4909db1558846bbb53a35f7504ea33be06/APASdb_3UTR_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2169","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2021-12-06T10:49:21.166Z","metadata":{"doi":"10.25504/FAIRsharing.vszknv","name":"Nuclear Receptor Signaling Atlas","status":"deprecated","contacts":[{"contact_name":"Neil McKenna","contact_email":"nmckenna@bcm.edu","contact_orcid":"0000-0001-6689-0104"}],"homepage":"http://www.nursa.org","identifier":2169,"description":"The mission of NURSA is to accrue, develop, and communicate information that advances our understanding of the roles of nuclear receptors (NRs) and coregulators in human physiology and disease.","abbreviation":"NURSA","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NURSATweets","type":"Twitter"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://www.nursa.org/transcriptomine","name":"Transcriptomine 1.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011298","name":"re3data:r3d100011298","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003287","name":"SciCrunch:RRID:SCR_003287","portal":"SciCrunch"}],"deprecation_date":"2019-11-01","deprecation_reason":"This resource has been retired.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000641","bsg-d000641"],"name":"FAIRsharing record for: Nuclear Receptor Signaling Atlas","abbreviation":"NURSA","url":"https://fairsharing.org/10.25504/FAIRsharing.vszknv","doi":"10.25504/FAIRsharing.vszknv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mission of NURSA is to accrue, develop, and communicate information that advances our understanding of the roles of nuclear receptors (NRs) and coregulators in human physiology and disease.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10802},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11105}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Transcriptomics","Cell Biology","Biomedical Science"],"domains":["Expression data","Nuclear receptor","Disease"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":653,"pubmed_id":19423650,"title":"Minireview: Evolution of NURSA, the Nuclear Receptor Signaling Atlas.","year":2009,"url":"http://doi.org/10.1210/me.2009-0135","authors":"McKenna NJ, Cooney AJ, DeMayo FJ, Downes M, Glass CK, Lanz RB, Lazar MA, Mangelsdorf DJ, Moore DD, Qin J, Steffen DL, Tsai MJ, Tsai SY, Yu R, Margolis RN, Evans RM, O'Malley BW.","journal":"Molecular Endocrinology","doi":"10.1210/me.2009-0135","created_at":"2021-09-30T08:23:32.035Z","updated_at":"2021-09-30T08:23:32.035Z"},{"id":697,"pubmed_id":16381851,"title":"Nuclear Receptor Signaling Atlas (www.nursa.org): hyperlinking the nuclear receptor signaling community.","year":2005,"url":"http://doi.org/10.1093/nar/gkj029","authors":"Lanz RB., Jericevic Z., Zuercher WJ., Watkins C., Steffen DL., Margolis R., McKenna NJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkj029","created_at":"2021-09-30T08:23:36.870Z","updated_at":"2021-09-30T08:23:36.870Z"}],"licence_links":[],"grants":[{"id":1858,"fairsharing_record_id":2169,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:25:23.099Z","updated_at":"2021-09-30T09:25:23.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1859,"fairsharing_record_id":2169,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:23.128Z","updated_at":"2021-09-30T09:25:23.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1860,"fairsharing_record_id":2169,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:25:23.157Z","updated_at":"2021-09-30T09:29:50.826Z","grant_id":432,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK097748","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2170","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-23T14:39:48.023Z","metadata":{"doi":"10.25504/FAIRsharing.6gz84c","name":"Bio2RDF","status":"ready","contacts":[{"contact_name":"Michel Dumontier","contact_email":"michel.dumontier@gmail.com","contact_orcid":"0000-0003-4727-9435"}],"homepage":"http://bio2rdf.org","identifier":2170,"description":"Bio2RDF is an open-source project that uses Semantic Web technologies to build and provide the largest network of Linked Data for the Life Sciences. Bio2RDF defines a set of simple conventions to create RDF(S) compatible Linked Data from a diverse set of heterogeneously formatted sources obtained from multiple data providers.","abbreviation":"Bio2RDF","data_curation":{"type":"none"},"support_links":[{"url":"https://groups.google.com/forum/?fromgroups#!forum/bio2rdf","type":"Forum"},{"url":"https://github.com/bio2rdf/bio2rdf-scripts/wiki/Bio2RDF-Tutorials","type":"Github"},{"url":"https://twitter.com/bio2rdf","type":"Twitter"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000642","bsg-d000642"],"name":"FAIRsharing record for: Bio2RDF","abbreviation":"Bio2RDF","url":"https://fairsharing.org/10.25504/FAIRsharing.6gz84c","doi":"10.25504/FAIRsharing.6gz84c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bio2RDF is an open-source project that uses Semantic Web technologies to build and provide the largest network of Linked Data for the Life Sciences. Bio2RDF defines a set of simple conventions to create RDF(S) compatible Linked Data from a diverse set of heterogeneously formatted sources obtained from multiple data providers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1639,"pubmed_id":18472304,"title":"Bio2RDF: towards a mashup to build bioinformatics knowledge systems.","year":2008,"url":"http://doi.org/10.1016/j.jbi.2008.03.004","authors":"Belleau F,Nolin MA,Tourigny N,Rigault P,Morissette J","journal":"J Biomed Inform","doi":"10.1016/j.jbi.2008.03.004","created_at":"2021-09-30T08:25:23.595Z","updated_at":"2021-09-30T08:25:23.595Z"}],"licence_links":[{"licence_name":"bio2rdf Terms of Use","licence_id":75,"licence_url":"https://github.com/bio2rdf/bio2rdf-scripts/wiki/Terms-of-use","link_id":849,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":916,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2171","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:16:10.059Z","metadata":{"doi":"10.25504/FAIRsharing.dq83p6","name":"Kidney and Urinary Pathway Knowledgebase","status":"deprecated","contacts":[{"contact_name":"Simon Jupp","contact_email":"jupp@ebi.ac.uk","contact_orcid":"0000-0002-0643-3144"}],"homepage":"http://www.kupkb.org","identifier":2171,"description":"The KUPKB is a collection of omics datasets that have been extracted from scientific publications and other related renal databases. The iKUP browser provides a single point of entry for you to query and browse these datasets.","abbreviation":"KUPKB","data_curation":{"type":"not found"},"support_links":[{"url":"support@kupkb.org","type":"Support email"},{"url":"jupp@ebi.ac.uk","type":"Support email"},{"url":"http://www.kupkb.org/#tab5","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/KUPKB_team","type":"Twitter"}],"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://www.kupkb.org","name":"iKUP 1"}],"deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000643","bsg-d000643"],"name":"FAIRsharing record for: Kidney and Urinary Pathway Knowledgebase","abbreviation":"KUPKB","url":"https://fairsharing.org/10.25504/FAIRsharing.dq83p6","doi":"10.25504/FAIRsharing.dq83p6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The KUPKB is a collection of omics datasets that have been extracted from scientific publications and other related renal databases. The iKUP browser provides a single point of entry for you to query and browse these datasets.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12706}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Biomedical Science"],"domains":["Expression data","Kidney disease"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["France","United Kingdom"],"publications":[{"id":633,"pubmed_id":22345404,"title":"The KUPKB: a novel Web application to access multiomics data on kidney disease","year":2012,"url":"http://doi.org/10.1096/fj.11-194381","authors":"Julie Klein","journal":"FASEB","doi":"10.1096/fj.11-194381","created_at":"2021-09-30T08:23:29.652Z","updated_at":"2021-09-30T08:23:29.652Z"},{"id":634,"pubmed_id":21624162,"title":"Developing a kidney and urinary pathway knowledge base.","year":2011,"url":"http://doi.org/10.1186/2041-1480-2-S2-S7","authors":"Simon Jupp","journal":"J Biomed Semantics","doi":"10.1186/2041-1480-2-S2-S7","created_at":"2021-09-30T08:23:29.761Z","updated_at":"2021-09-30T08:23:29.761Z"}],"licence_links":[],"grants":[{"id":1861,"fairsharing_record_id":2171,"organisation_id":837,"relation":"funds","created_at":"2021-09-30T09:25:23.191Z","updated_at":"2021-09-30T09:32:19.529Z","grant_id":1567,"is_lead":false,"saved_state":{"id":837,"name":"e-LICO","grant":"EU/FP7/ICT-2007.4.4","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2172","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:27:13.869Z","metadata":{"doi":"10.25504/FAIRsharing.ekrvbq","name":"euL1db, the European database of L1-HS retrotransposon insertions in humans","status":"ready","contacts":[{"contact_name":"Gael Cristofari","contact_email":"Gael.Cristofari@unice.fr","contact_orcid":"0000-0001-5620-3091"}],"homepage":"http://eul1db.unice.fr","citations":[{"doi":"10.1093/nar/gku1043","pubmed_id":25352549,"publication_id":679}],"identifier":2172,"description":"euL1db, the European database of L1-HS retrotransposon insertions in humans, provides a curated and comprehensive summary of L1-HS insertion polymorphisms identified in healthy or pathological human samples and published in peer-reviewed journals.","abbreviation":"euL1db","data_curation":{"url":"https://eul1db.ircan.org/Help.jsp","type":"manual/automated"},"support_links":[{"url":"http://eul1db.unice.fr/db/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"http://eul1db.unice.fr/db/Help.jsp","type":"Help documentation"},{"url":"https://twitter.com/retrogenomics","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://eul1db.unice.fr/Data.jsp","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000644","bsg-d000644"],"name":"FAIRsharing record for: euL1db, the European database of L1-HS retrotransposon insertions in humans","abbreviation":"euL1db","url":"https://fairsharing.org/10.25504/FAIRsharing.ekrvbq","doi":"10.25504/FAIRsharing.ekrvbq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: euL1db, the European database of L1-HS retrotransposon insertions in humans, provides a curated and comprehensive summary of L1-HS insertion polymorphisms identified in healthy or pathological human samples and published in peer-reviewed journals.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12707}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Biomedical Science"],"domains":["DNA sequence data","Genetic polymorphism","Structure","Transposable element","Retrotransposon"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":679,"pubmed_id":25352549,"title":"euL1db: the European database of L1HS retrotransposon insertions in humans","year":2014,"url":"http://doi.org/10.1093/nar/gku1043","authors":"Mir AA, Philippe C, Cristofari G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1043","created_at":"2021-09-30T08:23:34.844Z","updated_at":"2021-09-30T08:23:34.844Z"}],"licence_links":[],"grants":[{"id":1862,"fairsharing_record_id":2172,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:25:23.228Z","updated_at":"2021-09-30T09:25:23.228Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1865,"fairsharing_record_id":2172,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:23.345Z","updated_at":"2021-09-30T09:25:23.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1863,"fairsharing_record_id":2172,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:25:23.267Z","updated_at":"2021-09-30T09:25:23.267Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1864,"fairsharing_record_id":2172,"organisation_id":1445,"relation":"funds","created_at":"2021-09-30T09:25:23.303Z","updated_at":"2021-09-30T09:25:23.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":1445,"name":"Institut National Du Cancer, France","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9909,"fairsharing_record_id":2172,"organisation_id":3707,"relation":"funds","created_at":"2022-09-22T11:00:55.063Z","updated_at":"2022-09-22T11:00:55.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":3707,"name":"University Cote d'Azur","types":["University"],"is_lead":false,"relation":"funds"}},{"id":9910,"fairsharing_record_id":2172,"organisation_id":1974,"relation":"funds","created_at":"2022-09-22T11:00:55.063Z","updated_at":"2022-09-22T11:00:55.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2174","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:39:49.678Z","metadata":{"doi":"10.25504/FAIRsharing.51r558","name":"Protein-ligand affinity change upon mutation","status":"deprecated","contacts":[{"contact_name":"Douglas Pires","contact_email":"dpires@dcc.ufmg.br","contact_orcid":"0000-0002-3004-2119"}],"homepage":"http://structure.bioc.cam.ac.uk/platinum","identifier":2174,"description":"Platinum is a manually curated, literature-derived database comprising over 1,000 mutations which for the first time associates experimental information on changes in protein-ligand affinity with the three-dimensional structures of the complex.","abbreviation":"Platinum","data_curation":{"type":"not found"},"support_links":[{"url":"http://bleoberis.bioc.cam.ac.uk/platinum/contact","type":"Contact form"},{"url":"dascher@svi.edu.au","type":"Support email"},{"url":"http://bleoberis.bioc.cam.ac.uk/platinum/help","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[{"url":"http://structure.bioc.cam.ac.uk/mcsm","name":"mCSM 1.0"},{"url":"http://structure.bioc.cam.ac.uk/duet","name":"DUET 1.0"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000646","bsg-d000646"],"name":"FAIRsharing record for: Protein-ligand affinity change upon mutation","abbreviation":"Platinum","url":"https://fairsharing.org/10.25504/FAIRsharing.51r558","doi":"10.25504/FAIRsharing.51r558","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Platinum is a manually curated, literature-derived database comprising over 1,000 mutations which for the first time associates experimental information on changes in protein-ligand affinity with the three-dimensional structures of the complex.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12708}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein interaction","Mutation analysis","Small molecule"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Brazil","United Kingdom"],"publications":[{"id":677,"pubmed_id":25324307,"title":"Platinum: a database of experimentally measured effects of mutations on structurally defined protein-ligand complexes","year":2014,"url":"http://doi.org/10.1093/nar/gku966","authors":"Douglas E.V. Pires, Tom L. Blundell and David B. Ascher","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku966","created_at":"2021-09-30T08:23:34.644Z","updated_at":"2021-09-30T08:23:34.644Z"}],"licence_links":[],"grants":[{"id":1872,"fairsharing_record_id":2174,"organisation_id":2663,"relation":"maintains","created_at":"2021-09-30T09:25:23.632Z","updated_at":"2021-09-30T09:25:23.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":2663,"name":"St Vincent's Institute/Australia","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1873,"fairsharing_record_id":2174,"organisation_id":1017,"relation":"maintains","created_at":"2021-09-30T09:25:23.660Z","updated_at":"2021-09-30T09:25:23.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":1017,"name":"Fiocruz Minas Centro de Pesquisas Rene Rachou (CPQRR), Belo Horizonte, MG, Brazil","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1875,"fairsharing_record_id":2174,"organisation_id":668,"relation":"maintains","created_at":"2021-09-30T09:25:23.715Z","updated_at":"2021-09-30T09:25:23.715Z","grant_id":null,"is_lead":false,"saved_state":{"id":668,"name":"Department of Biochemistry, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1874,"fairsharing_record_id":2174,"organisation_id":1994,"relation":"funds","created_at":"2021-09-30T09:25:23.690Z","updated_at":"2021-09-30T09:32:02.593Z","grant_id":1442,"is_lead":false,"saved_state":{"id":1994,"name":"National Health and Medical Research Council (NHMRC), Australia","grant":"APP1072476","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2192","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T20:23:46.000Z","updated_at":"2023-12-15T10:32:16.780Z","metadata":{"doi":"10.25504/FAIRsharing.npf403","name":"Swedish Ocean Archive","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"shark@smhi.se"}],"homepage":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data","identifier":2192,"description":"SHARK (\"Svenskt HavsARKiv\" / \"Swedish Ocean Archive\") contains marine environmental monitoring data from the seas surrounding Sweden. SHARK is accessed via SHARKweb (for human-readable content) and SHARKdata (for computational access). Content includes marine physical, chemical and biological data collected within Swedish environmental monitoring programs.","abbreviation":"SHARK","data_curation":{"type":"not found"},"support_links":[{"url":"smhi@smhi.se","name":"SMHI Contact","type":"Support email"},{"url":"http://sharkdata.se/examplecode/","name":"Example Code","type":"Help documentation"},{"url":"http://sharkdata.se/documentation/","name":"Documentation","type":"Help documentation"},{"url":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/deliver-data-1.153151","name":"How to Submit Data","type":"Help documentation"},{"url":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/download-data-1.153150","name":"How to Download Data","type":"Help documentation"},{"url":"http://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/how-the-swedish-archive-for-oceanography-works-1.153153","name":"About SHARK","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.smhi.se/en/services/open-data/national-archive-for-oceanographic-data/deliver-data-1.153151","type":"open","notes":"Submited data undergoes quality checking prior to publication."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000666","bsg-d000666"],"name":"FAIRsharing record for: Swedish Ocean Archive","abbreviation":"SHARK","url":"https://fairsharing.org/10.25504/FAIRsharing.npf403","doi":"10.25504/FAIRsharing.npf403","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SHARK (\"Svenskt HavsARKiv\" / \"Swedish Ocean Archive\") contains marine environmental monitoring data from the seas surrounding Sweden. SHARK is accessed via SHARKweb (for human-readable content) and SHARKdata (for computational access). Content includes marine physical, chemical and biological data collected within Swedish environmental monitoring programs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Marine Biology","Biodiversity"],"domains":["Marine environment","Monitoring"],"taxonomies":["All"],"user_defined_tags":["Marine Chemistry"],"countries":["Sweden"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2072,"relation":"undefined"}],"grants":[{"id":1938,"fairsharing_record_id":2192,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:25:25.802Z","updated_at":"2021-09-30T09:25:25.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1937,"fairsharing_record_id":2192,"organisation_id":2673,"relation":"maintains","created_at":"2021-09-30T09:25:25.765Z","updated_at":"2021-09-30T09:25:25.765Z","grant_id":null,"is_lead":true,"saved_state":{"id":2673,"name":"Swedish Meteorological and Hydrological Institute (SMHI), Norrkping, Sweden","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2194","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T20:54:40.000Z","updated_at":"2024-02-01T10:49:39.087Z","metadata":{"doi":"10.25504/FAIRsharing.jr4y76","name":"Canadensys","status":"ready","contacts":[{"contact_name":"Olivier Norvez","contact_email":"olivier.norvez@umontreal.ca","contact_orcid":"0000-0001-7696-3493"}],"homepage":"https://data.canadensys.net/explorer/occurrences/search?q=#tab_mapView","citations":[{"doi":"10.3897/biss.3.36979","pubmed_id":null,"publication_id":3908}],"identifier":2194,"description":"Biological collections are replete with taxonomic, geographic, temporal, numerical, and historical information. This information is crucial for understanding and properly managing biodiversity and ecosystems, but is often difficult to access. Data publication is the act of making that information available online, and is the core mission of Canadensys. Most of the datasets contain specimen data, but checklists and observation data are present as well.","abbreviation":"Canadensys","data_curation":{"url":"https://community.canadensys.net/digitization/data-cleaning","type":"not found"},"support_links":[{"url":"http://www.canadensys.net/blog","type":"Blog/News"},{"url":"https://github.com/Canadensys","type":"Github"},{"url":"https://twitter.com/canadensys","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://data.canadensys.net/tools/coordinates","name":"converter"}],"data_access_condition":{"url":"https://data.canadensys.net/explorer/occurrences/search?q=#tab_mapView","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://community.canadensys.net/publication/data-publication-guide?lang=fr","type":"controlled","notes":"7-step guide to data publication is facilitated."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000668","bsg-d000668"],"name":"FAIRsharing record for: Canadensys","abbreviation":"Canadensys","url":"https://fairsharing.org/10.25504/FAIRsharing.jr4y76","doi":"10.25504/FAIRsharing.jr4y76","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biological collections are replete with taxonomic, geographic, temporal, numerical, and historical information. This information is crucial for understanding and properly managing biodiversity and ecosystems, but is often difficult to access. Data publication is the act of making that information available online, and is the core mission of Canadensys. Most of the datasets contain specimen data, but checklists and observation data are present as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":1640,"pubmed_id":24198712,"title":"Database of Vascular Plants of Canada (VASCAN): a community contributed taxonomic checklist of all vascular plants of Canada, Saint Pierre and Miquelon, and Greenland.","year":2013,"url":"http://doi.org/10.3897/phytokeys.25.3100","authors":"Desmet P,Brouillet L","journal":"PhytoKeys","doi":"10.3897/phytokeys.25.3100","created_at":"2021-09-30T08:25:23.704Z","updated_at":"2021-09-30T08:25:23.704Z"},{"id":3908,"pubmed_id":null,"title":"Reaching an Established but Growing Network: Use-case from Canadensys","year":2019,"url":"http://dx.doi.org/10.3897/biss.3.36979","authors":"Sinou, Carole; Bruneau, Anne; Paul, Deborah L; Kennedy, Mary; ","journal":"BISS","doi":"10.3897/biss.3.36979","created_at":"2023-06-14T07:28:35.284Z","updated_at":"2023-06-14T07:28:35.284Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":913,"relation":"undefined"}],"grants":[{"id":1943,"fairsharing_record_id":2194,"organisation_id":478,"relation":"maintains","created_at":"2021-09-30T09:25:25.985Z","updated_at":"2021-09-30T09:25:25.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":478,"name":"Centre sur la Biodiversite de l'Universite de Montreal, Montreal, Canada","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2195","type":"fairsharing_records","attributes":{"created_at":"2015-03-12T09:57:03.000Z","updated_at":"2024-03-27T22:39:32.815Z","metadata":{"doi":"10.25504/FAIRsharing.rf3m4g","name":"Plant Genomics and Phenomics Research Data Repository","status":"ready","contacts":[{"contact_name":"Daniel Arend","contact_email":"arendd@ipk-gatersleben.de","contact_orcid":"0000-0002-2455-5938"}],"homepage":"http://edal-pgp.ipk-gatersleben.de","citations":[],"identifier":2195,"description":"This repository provides several plant genomic and phenotypic datasets resulting from IPK and German Plant Phenotyping Network (DPPN) research activities. It was established in January 2015. The background of the study is in plant genetic resources, in particular the association of genotypes and phenotypes. This archive aims to provide data from the \"system plant\" - from the root to bloom and seed, as well from sequence analysis to systems biology.Ge","abbreviation":"PGP","data_curation":{"type":"not found"},"support_links":[{"url":"https://edal-pgp.ipk-gatersleben.de/contact.html","name":"General Contact Points","type":"Contact form"},{"url":"https://doi.ipk-gatersleben.de/report/ ","name":"Access and Download Statistics","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://edal.ipk-gatersleben.de/","name":"e!DAL"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011876","name":"re3data:r3d100011876","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://edal-pgp.ipk-gatersleben.de/","type":"open","notes":"Data submission"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000669","bsg-d000669"],"name":"FAIRsharing record for: Plant Genomics and Phenomics Research Data Repository","abbreviation":"PGP","url":"https://fairsharing.org/10.25504/FAIRsharing.rf3m4g","doi":"10.25504/FAIRsharing.rf3m4g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This repository provides several plant genomic and phenotypic datasets resulting from IPK and German Plant Phenotyping Network (DPPN) research activities. It was established in January 2015. The background of the study is in plant genetic resources, in particular the association of genotypes and phenotypes. This archive aims to provide data from the \"system plant\" - from the root to bloom and seed, as well from sequence analysis to systems biology.Ge","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16724},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19519}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Phenotype","Genotype"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":724,"pubmed_id":24958009,"title":"e!DAL - a framework to store, share and publish research data","year":2014,"url":"http://doi.org/10.1186/1471-2105-15-214","authors":"Daniel Arend, Matthias Lange, Jinbo Chen, Christian Colmsee, Steffen Flemming, Denny Hecht and Uwe Scholz","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-15-214","created_at":"2021-09-30T08:23:39.788Z","updated_at":"2021-09-30T08:23:39.788Z"},{"id":1376,"pubmed_id":27087305,"title":"PGP repository: a plant phenomics and genomics data publication infrastructure.","year":2016,"url":"http://doi.org/10.1093/database/baw033","authors":"Arend D,Junker A,Scholz U,Schuler D,Wylie J,Lange M","journal":"Database (Oxford)","doi":"10.1093/database/baw033","created_at":"2021-09-30T08:24:53.901Z","updated_at":"2021-09-30T08:24:53.901Z"},{"id":1816,"pubmed_id":null,"title":"The e!DAL JAVA-API: Store, share and cite primary data in life sciences","year":2012,"url":"http://doi.org/10.1109/BIBM.2012.6392737","authors":"Daniel Arend, Matthias Lange, Christian Colmsee, Steffen Flemming, Jinbo Chen and Uwe Scholz","journal":"IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","doi":"10.1109/BIBM.2012.6392737","created_at":"2021-09-30T08:25:43.864Z","updated_at":"2021-09-30T08:25:43.864Z"},{"id":3480,"pubmed_id":null,"title":"The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition","year":2020,"url":"http://dx.doi.org/10.1093/gigascience/giaa107","authors":"Arend, Daniel; König, Patrick; Junker, Astrid; Scholz, Uwe; Lange, Matthias; ","journal":"GigaScience","doi":"10.1093/gigascience/giaa107","created_at":"2022-07-20T06:56:23.494Z","updated_at":"2022-07-20T06:56:23.494Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":500,"relation":"undefined"}],"grants":[{"id":1945,"fairsharing_record_id":2195,"organisation_id":2872,"relation":"maintains","created_at":"2021-09-30T09:25:26.034Z","updated_at":"2021-09-30T09:25:26.034Z","grant_id":null,"is_lead":false,"saved_state":{"id":2872,"name":"trans-national infrastructure for plant genomic science (transPLANT)","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1944,"fairsharing_record_id":2195,"organisation_id":751,"relation":"funds","created_at":"2021-09-30T09:25:26.008Z","updated_at":"2021-09-30T09:32:46.547Z","grant_id":1772,"is_lead":false,"saved_state":{"id":751,"name":"Deutschen Pflanzen Phenotypisierungsnetzwerks (DPPN), Germany","grant":"FKZ 031A053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1946,"fairsharing_record_id":2195,"organisation_id":1702,"relation":"maintains","created_at":"2021-09-30T09:25:26.063Z","updated_at":"2021-09-30T09:25:26.063Z","grant_id":null,"is_lead":false,"saved_state":{"id":1702,"name":"Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1947,"fairsharing_record_id":2195,"organisation_id":1142,"relation":"funds","created_at":"2021-09-30T09:25:26.106Z","updated_at":"2021-09-30T09:25:26.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":1142,"name":"German Network for Bioinformatics Infrastructure (de.NBI), Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1948,"fairsharing_record_id":2195,"organisation_id":922,"relation":"funds","created_at":"2021-09-30T09:25:26.160Z","updated_at":"2021-09-30T09:31:17.116Z","grant_id":1101,"is_lead":false,"saved_state":{"id":922,"name":"European Commission FP7 Transplant Project","grant":"283496","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBazhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--07f53bebf8ecefe7f55d2f674a915eb634499fce/pgp_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2196","type":"fairsharing_records","attributes":{"created_at":"2015-04-19T13:35:31.000Z","updated_at":"2022-07-20T12:26:02.071Z","metadata":{"doi":"10.25504/FAIRsharing.ce8nsj","name":"EuroPhenome","status":"deprecated","contacts":[{"contact_name":"Ann-Marie Mallon","contact_email":"a.mallon@har.mrc.ac.uk"}],"homepage":"http://www.EuroPhenome.org","identifier":2196,"description":"The EuroPhenome project provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centres. Mutants of interest can be identified by searching the gene or the predicted phenotype.","abbreviation":"EuroPhenome","data_curation":{"type":"not found"},"support_links":[{"url":"helpdesk@europhenome.org","type":"Support email"},{"url":"http://www.europhenome.org/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.europhenome.org/using.html","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.europhenome.org/databrowser/heatmap.jsp?pipeline=1","name":"View Phenomap"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000670","bsg-d000670"],"name":"FAIRsharing record for: EuroPhenome","abbreviation":"EuroPhenome","url":"https://fairsharing.org/10.25504/FAIRsharing.ce8nsj","doi":"10.25504/FAIRsharing.ce8nsj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EuroPhenome project provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centres. Mutants of interest can be identified by searching the gene or the predicted phenotype.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Computational biological predictions","Mutation","Phenotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":1641,"pubmed_id":19933761,"title":"EuroPhenome: a repository for high-throughput mouse phenotyping data","year":2009,"url":"http://doi.org/10.1093/nar/gkp1007","authors":"Morgan H, Beck T, Blake A, Gates H, Adams N, Debouzy G, Leblanc S, Lengger C, Maier H, Melvin D, Meziane H, Richardson D, Wells S, White J, Wood J; EUMODIC Consortium, de Angelis MH, Brown SD, Hancock JM, Mallon AM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1007","created_at":"2021-09-30T08:25:23.813Z","updated_at":"2021-09-30T08:25:23.813Z"},{"id":1642,"pubmed_id":17905814,"title":"EuroPhenome and EMPReSS: online mouse phenotyping resource.","year":2007,"url":"http://doi.org/10.1093/nar/gkm728","authors":"Mallon AM,Blake A,Hancock JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm728","created_at":"2021-09-30T08:25:23.918Z","updated_at":"2021-09-30T11:29:17.552Z"}],"licence_links":[],"grants":[{"id":1950,"fairsharing_record_id":2196,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:26.214Z","updated_at":"2021-09-30T09:29:23.464Z","grant_id":227,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"01GS0850","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8417,"fairsharing_record_id":2196,"organisation_id":918,"relation":"funds","created_at":"2021-09-30T09:32:32.885Z","updated_at":"2021-09-30T09:32:32.943Z","grant_id":1669,"is_lead":false,"saved_state":{"id":918,"name":"European Commission (EC) FP6, EUMODIC project","grant":"QLG2-CT-2002-00930","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1949,"fairsharing_record_id":2196,"organisation_id":918,"relation":"funds","created_at":"2021-09-30T09:25:26.184Z","updated_at":"2021-09-30T09:30:56.216Z","grant_id":942,"is_lead":false,"saved_state":{"id":918,"name":"European Commission (EC) FP6, EUMODIC project","grant":"LSHG-CT-2006-037188","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2197","type":"fairsharing_records","attributes":{"created_at":"2015-04-21T12:40:45.000Z","updated_at":"2023-12-15T10:31:21.426Z","metadata":{"doi":"10.25504/FAIRsharing.84ebcy","name":"Stem Cell Commons","status":"ready","contacts":[{"contact_name":"Shannan Ho Sui","contact_email":"shosui@hsph.harvard.edu"}],"homepage":"http://stemcellcommons.org/","identifier":2197,"description":"The Stem Cell Commons were initiated by the Harvard Stem Cell Institute to develop a community for stem cell bioinformatics. This open source environment for sharing, processing and analyzing stem cell data brings together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons.","abbreviation":"SCC","data_curation":{"type":"not found"},"support_links":[{"url":"http://stemcellcommons.org/contact","type":"Contact form"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/parklab/Refinery","name":"Refinery: web-based data visualization and analysis system powered by an ISA-Tab-compatible data repository Beta"},{"url":"https://bitbucket.org/mindinformatics/exframe7","name":"eXframe: structured annotation of experiments"},{"url":"https://bitbucket.org/hbc/galaxy-central-hbc","name":"Galaxy: web-based platform for accessible, reproducible, and transparent computational biomedical research"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"controlled","notes":"\"The Stem Cell Commons is a repository of data belonging to members of the Harvard Stem Cell Institute (HSCI).\""},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000671","bsg-d000671"],"name":"FAIRsharing record for: Stem Cell Commons","abbreviation":"SCC","url":"https://fairsharing.org/10.25504/FAIRsharing.84ebcy","doi":"10.25504/FAIRsharing.84ebcy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Stem Cell Commons were initiated by the Harvard Stem Cell Institute to develop a community for stem cell bioinformatics. This open source environment for sharing, processing and analyzing stem cell data brings together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12713}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Stem cell","Next generation DNA sequencing"],"taxonomies":["Danio rerio","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":729,"pubmed_id":24303302,"title":"The Stem Cell Commons: an exemplar for data integration in the biomedical domain driven by the ISA framework.","year":2013,"url":"https://www.ncbi.nlm.nih.gov/pubmed/24303302","authors":"Ho Sui S1, Merrill E, Gehlenborg N, Haseley P, Sytchev I, Park R, Rocca-Serra P, Corlosquet S, Gonzalez-Beltran A, Maguire E, Hofmann O, Park P, Das S, Sansone SA, Hide W.","journal":"AMIA Jt Summits Transl Sci Proc.","doi":null,"created_at":"2021-09-30T08:23:40.337Z","updated_at":"2021-09-30T08:23:40.337Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":326,"relation":"undefined"}],"grants":[{"id":1951,"fairsharing_record_id":2197,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:25:26.256Z","updated_at":"2021-09-30T09:25:26.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":8401,"fairsharing_record_id":2197,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:27.870Z","updated_at":"2021-09-30T09:32:27.926Z","grant_id":1631,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I000771/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1952,"fairsharing_record_id":2197,"organisation_id":1214,"relation":"maintains","created_at":"2021-09-30T09:25:26.298Z","updated_at":"2021-09-30T09:25:26.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":1214,"name":"Harvard Stem Cell Institute, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1953,"fairsharing_record_id":2197,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:26.336Z","updated_at":"2021-09-30T09:29:38.577Z","grant_id":339,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/E025080/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2186","type":"fairsharing_records","attributes":{"created_at":"2015-02-11T10:46:48.000Z","updated_at":"2023-08-17T06:25:50.683Z","metadata":{"doi":"10.25504/FAIRsharing.bpkzqp","name":"Immunology Database and Analysis Portal","status":"ready","contacts":[{"contact_name":"Jeff Wiser","contact_email":"jeff.wiser@ngc.com"}],"homepage":"https://immport.org","citations":[{"doi":"10.1038/sdata.2018.15","pubmed_id":29485622,"publication_id":2220}],"identifier":2186,"description":"The Immunology Database and Analysis Portal (ImmPort) data repository was created for the exploration of clinical and basic research data on immunology and associated findings. ImmPort intends to promote effective data sharing across the basic, clinical and translational research communities. It collects data both from clinical and mechanistic studies on human subjects and from immunology studies on model organisms. The ImmPort ecosystem consists of four components: private data, shared data, data analysis, and resources-for data archiving, dissemination, analyses, and reuse.","abbreviation":"ImmPort","data_curation":{"url":"https://docs.immport.org/datasubmission/general/datasubmissionprocess/","type":"manual","notes":"Immport performs quality checks upon data submission"},"support_links":[{"url":"https://www.immport.org/shared/news","name":"News","type":"Blog/News"},{"url":"ImmPort_Helpdesk@immport.org","name":"Help Contact","type":"Support email"},{"url":"https://www.immport.org/resources/tutorials","name":"Tutorials","type":"Help documentation"},{"url":"https://www.immport.org/resources/documentation","name":"All Documentation","type":"Help documentation"},{"url":"https://www.immport.org/resources/dataTemplates","name":"Data Upload Templates","type":"Help documentation"},{"url":"https://www.immport.org/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ImmPortDB","name":"@ImmPortDB","type":"Twitter"},{"url":"https://docs.immport.org/datasubmission/general/submissiontemplates/","name":"Submission Templates","type":"Help documentation"},{"url":"https://www.immport.org/shared/dataModel","name":"Data Model","type":"Help documentation"},{"url":"https://docs.immport.org/datasubmission/general/hipcstandards/","name":"HIPC Standards","type":"Other"},{"url":"https://immport.us19.list-manage.com/subscribe?u=fae12fe1b349115b901d54a2f\u0026id=37f763663e","name":"Subscribe to Updates","type":"Mailing list"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://immportgalaxy.org","name":"ImmPortGalaxy"},{"url":"https://docs.immport.org/datasubmission/studywizard/","name":"Study Registration Wizard"},{"url":"https://bioconductor.org/packages/release/bioc/html/MetaCyto.html","name":"MetaCyto"},{"url":"https://bioconductor.org/packages/release/bioc/html/RImmPort.html","name":"RImmPort"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012529","name":"re3data:r3d100012529","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012804","name":"SciCrunch:RRID:SCR_012804","portal":"SciCrunch"}],"data_access_condition":{"url":"https://docs.immport.org/help/mfa/","type":"partially open","notes":"There are both shared and private subsets of this repository"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/bmic-about.html","name":"NIH sustained support"},"data_contact_information":"no","data_preservation_policy":{"url":"https://docs.immport.org/home/agreement/","name":"DAIT, NIAID, NIH Support Funding (duration up to 2027); CoreTrustSeal Compliance Level 3"},"data_deposition_condition":{"url":"https://www.niaid.nih.gov/research/immport","type":"controlled","notes":"Deposition for from NIAID-funded immunology studies, including basic research and clinical trials only."},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://www.coretrustseal.org/wp-content/uploads/2018/02/ImmPort-Repository.pdf","name":"CoreTrustSeal (valid until 2025-02-17)"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000660","bsg-d000660"],"name":"FAIRsharing record for: Immunology Database and Analysis Portal","abbreviation":"ImmPort","url":"https://fairsharing.org/10.25504/FAIRsharing.bpkzqp","doi":"10.25504/FAIRsharing.bpkzqp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Immunology Database and Analysis Portal (ImmPort) data repository was created for the exploration of clinical and basic research data on immunology and associated findings. ImmPort intends to promote effective data sharing across the basic, clinical and translational research communities. It collects data both from clinical and mechanistic studies on human subjects and from immunology studies on model organisms. The ImmPort ecosystem consists of four components: private data, shared data, data analysis, and resources-for data archiving, dissemination, analyses, and reuse.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10804},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11108},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12710},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12958}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Immunology","Biomedical Science","Translational Medicine","Preclinical Studies"],"domains":["Model organism"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":920,"pubmed_id":24791905,"title":"ImmPort: disseminating data to the public for the future of immunology","year":2014,"url":"http://doi.org/10.1007/s12026-014-8516-1","authors":"Bhattacharya S, Andorf S, Gomes L, Dunn P, Schaefer H, Pontius J, Berger P, Desborough V, Smith T, Campbell J, Thomson E, Monteiro R, Guimaraes P, Walters B, Wiser J, Butte AJ","journal":"Immunologic Research","doi":"10.1007/s12026-014-8516-1","created_at":"2021-09-30T08:24:01.588Z","updated_at":"2021-09-30T08:24:01.588Z"},{"id":922,"pubmed_id":22431383,"title":"FCSTrans: An open source software system for FCS file conversion and data transformation","year":2012,"url":"http://doi.org/10.1002/cyto.a.22037","authors":"Qian Y, Liu Y, Campbell J, Thomson E, Kong YM, Scheuermann RH","journal":"Cytometry Part A","doi":"10.1002/cyto.a.22037","created_at":"2021-09-30T08:24:01.805Z","updated_at":"2021-09-30T08:24:01.805Z"},{"id":2209,"pubmed_id":20839340,"title":"Elucidation of seventeen human peripheral blood B-cell subsets and quantification of the tetanus response using a density-based method for the automated identification of cell populations in multidimensional flow cytometry data","year":2010,"url":"http://doi.org/10.1002/cyto.b.20554","authors":"Qian Y, Wei C, Eun-Hyung Lee F, Campbell J, Halliley J, Lee JA, Cai J, Kong YM, Sadat E, Thomson E, Dunn P, Seegmiller AC, Karandikar NJ, Tipton CM, Mosmann T, Sanz I, Scheuermann RH","journal":"Cytometry B Clinical Cytometry","doi":"10.1002/cyto.b.20554","created_at":"2021-09-30T08:26:28.963Z","updated_at":"2021-09-30T08:26:28.963Z"},{"id":2220,"pubmed_id":29485622,"title":"ImmPort, toward repurposing of open access immunological assay data for translational and clinical research.","year":2018,"url":"http://doi.org/10.1038/sdata.2018.15","authors":"Bhattacharya S,Dunn P,Thomas CG,Smith B,Schaefer H,Chen J,Hu Z,Zalocusky KA,Shankar RD,Shen-Orr SS,Thomson E,Wiser J,Butte AJ","journal":"Sci Data","doi":"10.1038/sdata.2018.15","created_at":"2021-09-30T08:26:30.198Z","updated_at":"2021-09-30T08:26:30.198Z"}],"licence_links":[{"licence_name":"ImmPort Data Sharing","licence_id":432,"licence_url":"http://www.immport.org/agreement","link_id":362,"relation":"undefined"}],"grants":[{"id":1912,"fairsharing_record_id":2186,"organisation_id":2721,"relation":"undefined","created_at":"2021-09-30T09:25:24.923Z","updated_at":"2023-01-22T03:13:16.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":2721,"name":"Technion - Israel Institute of Technology","types":["Undefined"],"is_lead":false,"relation":"undefined"}},{"id":1919,"fairsharing_record_id":2186,"organisation_id":2009,"relation":"funds","created_at":"2021-09-30T09:25:25.106Z","updated_at":"2021-09-30T09:31:28.145Z","grant_id":1182,"is_lead":false,"saved_state":{"id":2009,"name":"National Institute of Allergy and Infectious Diseases, National Institutes of Health","grant":"HHSN272201200028C","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1911,"fairsharing_record_id":2186,"organisation_id":3025,"relation":"collaborates_on","created_at":"2021-09-30T09:25:24.898Z","updated_at":"2023-01-22T03:11:10.711Z","grant_id":null,"is_lead":false,"saved_state":{"id":3025,"name":"University of Buffalo, NY, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":1914,"fairsharing_record_id":2186,"organisation_id":2623,"relation":"collaborates_on","created_at":"2021-09-30T09:25:24.973Z","updated_at":"2023-01-22T03:11:10.635Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":1916,"fairsharing_record_id":2186,"organisation_id":1555,"relation":"collaborates_on","created_at":"2021-09-30T09:25:25.023Z","updated_at":"2023-01-22T03:11:10.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":1555,"name":"ISA-Tools, University of Oxford","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":1917,"fairsharing_record_id":2186,"organisation_id":2183,"relation":"maintains","created_at":"2021-09-30T09:25:25.056Z","updated_at":"2021-09-30T09:25:25.056Z","grant_id":null,"is_lead":true,"saved_state":{"id":2183,"name":"Northrop Grumman Health IT","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":1920,"fairsharing_record_id":2186,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:25.138Z","updated_at":"2021-09-30T09:25:25.138Z","grant_id":null,"is_lead":true,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":1915,"fairsharing_record_id":2186,"organisation_id":18,"relation":"associated_with","created_at":"2021-09-30T09:25:24.999Z","updated_at":"2023-01-22T03:11:10.619Z","grant_id":null,"is_lead":false,"saved_state":{"id":18,"name":"Accelerating Medicines Partnership (AMP)","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":1918,"fairsharing_record_id":2186,"organisation_id":1276,"relation":"collaborates_on","created_at":"2021-09-30T09:25:25.082Z","updated_at":"2023-01-22T03:11:10.601Z","grant_id":null,"is_lead":false,"saved_state":{"id":1276,"name":"Human Immunology Project Consortium","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":1913,"fairsharing_record_id":2186,"organisation_id":420,"relation":"collaborates_on","created_at":"2021-09-30T09:25:24.949Z","updated_at":"2023-01-22T03:11:10.665Z","grant_id":null,"is_lead":false,"saved_state":{"id":420,"name":"Center for Expanded Data Annotation and Retrieval (CEDAR)","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":10304,"fairsharing_record_id":2186,"organisation_id":3868,"relation":"maintains","created_at":"2023-01-22T03:16:04.191Z","updated_at":"2023-01-22T03:16:04.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":3868,"name":"National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases (NIAID), Division of Allergy, Immunology, and Transplantation (DAIT)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBclFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--92cb4b345d57911b0764ecea7a39cd3546a658fc/immport-main-icon.png?disposition=inline","exhaustive_licences":false}},{"id":"2188","type":"fairsharing_records","attributes":{"created_at":"2015-02-11T17:09:58.000Z","updated_at":"2024-03-21T13:58:06.902Z","metadata":{"doi":"10.25504/FAIRsharing.r4ph5f","name":"Image Data Archive","status":"ready","contacts":[{"contact_name":"LONI Contact","contact_email":"dba@loni.usc.edu"}],"homepage":"https://ida.loni.usc.edu/","citations":[],"identifier":2188,"description":"The LONI Image Data Archive (IDA) is a user-friendly environment for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. The IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities. The Image \u0026 Data Archive (IDA) provides tools and resources for de-identifying, integrating, searching, visualizing and sharing a diverse range of neuroscience data, helping facilitate collaborations between scientists worldwide.","abbreviation":"IDA","data_curation":{"type":"none"},"support_links":[{"url":"ida@loni.usc.edu","type":"Support email"},{"url":"https://ida.loni.usc.edu/services/Menu/DocFaq.jsp?page=DOCUMENTATION\u0026subPage=FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ida.loni.usc.edu/services/Menu/PDF/IDA_User_Manual.pdf","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012840","name":"re3data:r3d100012840","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001922","name":"SciCrunch:RRID:SCR_001922","portal":"SciCrunch"}],"data_access_condition":{"url":"https://ida.loni.usc.edu/explore/jsp/support/support.jsp#general","type":"partially open","notes":"Acess to any data requires a free IDA user account. For restricted-sharing studies, access permission may be requested."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://ida.loni.usc.edu/explore/jsp/support/support.jsp#uploading","type":"controlled","notes":"Only authorized users of a study are given upload access."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000662","bsg-d000662"],"name":"FAIRsharing record for: Image Data Archive","abbreviation":"IDA","url":"https://fairsharing.org/10.25504/FAIRsharing.r4ph5f","doi":"10.25504/FAIRsharing.r4ph5f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LONI Image Data Archive (IDA) is a user-friendly environment for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. The IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities. The Image \u0026 Data Archive (IDA) provides tools and resources for de-identifying, integrating, searching, visualizing and sharing a diverse range of neuroscience data, helping facilitate collaborations between scientists worldwide.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10806},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11110}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Developmental Biology","Biomedical Science"],"domains":["Imaging","Aging","Disease course","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1924,"fairsharing_record_id":2188,"organisation_id":3125,"relation":"maintains","created_at":"2021-09-30T09:25:25.292Z","updated_at":"2021-09-30T09:25:25.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":3125,"name":"University of Southern California (USC), USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1926,"fairsharing_record_id":2188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:25.372Z","updated_at":"2021-09-30T09:30:06.326Z","grant_id":553,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54EB020406","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8112,"fairsharing_record_id":2188,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:01.363Z","updated_at":"2021-09-30T09:31:01.416Z","grant_id":981,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"P41EB015922","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1922,"fairsharing_record_id":2188,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:25.221Z","updated_at":"2021-09-30T09:25:25.221Z","grant_id":null,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1923,"fairsharing_record_id":2188,"organisation_id":3124,"relation":"maintains","created_at":"2021-09-30T09:25:25.259Z","updated_at":"2021-09-30T09:25:25.259Z","grant_id":null,"is_lead":false,"saved_state":{"id":3124,"name":"University of Southern California (USC), Mark and Mary Stevens Neuroimaging and Informatics Institute, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":11530,"fairsharing_record_id":2188,"organisation_id":1679,"relation":"funds","created_at":"2024-03-21T13:58:06.823Z","updated_at":"2024-03-21T13:58:06.823Z","grant_id":null,"is_lead":false,"saved_state":{"id":1679,"name":"Laboratory of Neuro Imaging (LONI), University of Southern California, Los Angeles, CA, USA","types":["Lab"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2181","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-09-06T15:19:11.969Z","metadata":{"doi":"10.25504/FAIRsharing.g4z879","name":"The Open Science Framework","status":"ready","contacts":[{"contact_name":"Nici Pfeiffer","contact_email":"nici@cos.io","contact_orcid":"0000-0002-2593-4905"}],"homepage":"http://osf.io","citations":[],"identifier":2181,"description":"The Open Science Framework (OSF) is a free and open free, open repository and platform to enable collaboration and support the entire research lifecycle: planning, execution, reporting, archiving, and discovery. Features include automated versioning, logging of all actions, collaboration support, free and unlimited file storage, registrations, and connections to other tools/services (ie. Dropbox, figshare, Amazon S3, Dataverse, GitHub). It is 100% free to researchers, open source, and intended for use in all domain areas. OSF has an open, public API to support broad indexing, as well as a partnership with Internet Archive for long-term preservation with a $250k preservation fund and an IMLS grant for transfer to Internet Archive (currently in progress). The OSF supports embargoing during peer review via a view-only link with the ability to anonymize contributor list. It also provides managed access by allowing access requests and private sharing settings. OSF is a non-profit with direct funder support through grants, government contracts, and community memberships.","abbreviation":"OSF","data_curation":{"url":"https://www.cos.io/blog/osf-adds-new-metadata-features-to-meet-desirable-characteristics-for-federally-funded-research","type":"manual","notes":"Datasets must have metadata"},"support_links":[{"url":"support@osf.io","name":"Technical support","type":"Support email"},{"url":"contact@osf.io","name":"General enquiries","type":"Support email"},{"url":"https://groups.google.com/forum/?hl=en#!forum/openscienceframework","type":"Forum"},{"url":"https://osf.io/getting-started/","type":"Help documentation"},{"url":"https://twitter.com/OSFramework","type":"Twitter"},{"url":"https://github.com/CenterForOpenScience","name":"Center for Open Science on GitHub","type":"Github"},{"url":"https://groups.google.com/g/openscienceframework","name":"OSF Google Groups","type":"Forum"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://osf.io/registries","name":"OSF Registry"},{"url":"https://help.osf.io/article/395-storage-add-ons","name":"Storage Add-Ons"},{"url":"https://help.osf.io/article/394-citation-add-ons","name":"Citation Add-Ons"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011137","name":"re3data:r3d100011137","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003238","name":"SciCrunch:RRID:SCR_003238","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.cos.io/products/osf","type":"open","notes":"https://github.com/CenterForOpenScience/cos.io/blob/master/TERMS_OF_USE.md"},"resource_sustainability":{"url":"http://osf.io/8km72 (Grant Proposals and Current Grant Funding); https://doi.org/10.31219/osf.io/x2w9h","name":"Center for Open Science: Strategic Plan; COS has implemented a sustainability model for maintaining an open-source, public goods infrastructure by partnering with stakeholders in research, including funders, federal agencies, research institutions, and individuals (accessible at the Grant Proposals and Current Grant Funding page)."},"data_contact_information":"yes","data_preservation_policy":{"url":"https://help.osf.io/article/547-account-and-security-faq-s#Backup","name":"Backup and preservation: files are stored in multiple locations and on multiple media types on Google Cloud, including 3 hash formats for files. OSF database is backed up via streaming replication 24 hours a day, and incremental restore points are made twice daily. Further, the OSF database is maintained in encrypted snapshots for an additional 60 days. Database backups are verified monthly. $250k Preservation fund, IMLS grant for transfer to Internet Archive (In progress)."},"data_deposition_condition":{"url":"https://help.osf.io/article/342-getting-started-on-the-osf","type":"controlled","notes":"Account registration required. Projects and subprojects currently have a public 50 GB storage limit and a private 5 GB limit. 5 GB/file native storage limit. Unlimited storage per researcher and across add-ons connected to a given project."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000655","bsg-d000655"],"name":"FAIRsharing record for: The Open Science Framework","abbreviation":"OSF","url":"https://fairsharing.org/10.25504/FAIRsharing.g4z879","doi":"10.25504/FAIRsharing.g4z879","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Science Framework (OSF) is a free and open free, open repository and platform to enable collaboration and support the entire research lifecycle: planning, execution, reporting, archiving, and discovery. Features include automated versioning, logging of all actions, collaboration support, free and unlimited file storage, registrations, and connections to other tools/services (ie. Dropbox, figshare, Amazon S3, Dataverse, GitHub). It is 100% free to researchers, open source, and intended for use in all domain areas. OSF has an open, public API to support broad indexing, as well as a partnership with Internet Archive for long-term preservation with a $250k preservation fund and an IMLS grant for transfer to Internet Archive (currently in progress). The OSF supports embargoing during peer review via a view-only link with the ability to anonymize contributor list. It also provides managed access by allowing access requests and private sharing settings. OSF is a non-profit with direct funder support through grants, government contracts, and community memberships.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10803},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10988},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11106},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12922}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Subject Agnostic"],"domains":["Citation","Resource metadata","Analysis","Publication"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2417,"pubmed_id":28891143,"title":"Behavioural Addiction Open Definition 2.0-using the Open Science Framework for collaborative and transparent theoretical development.","year":2017,"url":"http://doi.org/10.1111/add.13938","authors":"Billieux J,van Rooij AJ,Heeren A,Schimmenti A,Maurage P,Edman J,Blaszczynski A,Khazaal Y,Kardefelt-Winther D","journal":"Addiction","doi":"10.1111/add.13938","created_at":"2021-09-30T08:26:56.652Z","updated_at":"2021-09-30T08:26:56.652Z"},{"id":2608,"pubmed_id":30025068,"title":"Building an Open Science Framework to Model Soil Organic Carbon.","year":2018,"url":"http://doi.org/10.2134/jeq2017.08.0318","authors":"Flathers E,Gessler PE","journal":"J Environ Qual","doi":"10.2134/jeq2017.08.0318","created_at":"2021-09-30T08:27:20.129Z","updated_at":"2021-09-30T08:27:20.129Z"}],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":1549,"relation":"undefined"},{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1539,"relation":"undefined"},{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1585,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1535,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1534,"relation":"undefined"},{"licence_name":"Eclipse Public Licence Version 1.0","licence_id":260,"licence_url":"https://www.eclipse.org/legal/epl-v10.html","link_id":1593,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1586,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1588,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1594,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":1599,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1537,"relation":"undefined"},{"licence_name":"Mozilla Public Licence Version 2.0 (MPL 2.0)","licence_id":524,"licence_url":"https://www.mozilla.org/en-US/MPL/2.0/","link_id":1602,"relation":"undefined"},{"licence_name":"Open Source Initiative Artistic license 2.0","licence_id":631,"licence_url":"https://opensource.org/licenses/artistic-license-2.0.php","link_id":1592,"relation":"undefined"}],"grants":[{"id":1895,"fairsharing_record_id":2181,"organisation_id":1689,"relation":"funds","created_at":"2021-09-30T09:25:24.406Z","updated_at":"2021-09-30T09:25:24.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":1689,"name":"Laura and John Arnold Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1893,"fairsharing_record_id":2181,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:24.357Z","updated_at":"2021-09-30T09:25:24.357Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1894,"fairsharing_record_id":2181,"organisation_id":435,"relation":"maintains","created_at":"2021-09-30T09:25:24.381Z","updated_at":"2021-09-30T09:25:24.381Z","grant_id":null,"is_lead":false,"saved_state":{"id":435,"name":"Center for Open Science (COS), Charlottesville, VA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1897,"fairsharing_record_id":2181,"organisation_id":1605,"relation":"funds","created_at":"2021-09-30T09:25:24.457Z","updated_at":"2021-09-30T09:25:24.457Z","grant_id":null,"is_lead":false,"saved_state":{"id":1605,"name":"John Templeton Foundation, West Conshohocken, PA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9377,"fairsharing_record_id":2181,"organisation_id":54,"relation":"funds","created_at":"2022-04-11T12:07:34.229Z","updated_at":"2022-04-11T12:07:34.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":54,"name":"Alfred P. Sloan Foundation, New York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaDhCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--b42b4749ce149e025696d4e554ab2bc7ca4b7abb/open_science_framework_white.2400x2400.jpeg?disposition=inline","exhaustive_licences":false}},{"id":"2183","type":"fairsharing_records","attributes":{"created_at":"2014-12-18T22:53:50.000Z","updated_at":"2022-07-20T11:19:04.550Z","metadata":{"doi":"10.25504/FAIRsharing.44wk5g","name":"Open Connectome Project","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"support@neurodata.io"}],"homepage":"https://neurodata.io/project/ocp/","identifier":2183,"description":"Open Connectome Project: Reverse Engineering the Brain One Synapse at a Time","abbreviation":"OCP","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","associated_tools":[{"url":"http://catmaid.org/","name":"CATMAID"},{"url":"http://fiji.sc/BigDataViewer","name":"BigDataViewer"},{"url":"https://github.com/janelia-flyem/gala","name":"GALA"},{"url":"http://www.nitrc.org/projects/mrcap","name":"MRCAP"},{"url":"https://software.rc.fas.harvard.edu/lichtman/vast/","name":"VAST"},{"url":"http://openconnecto.me/api/","name":"OCP API"}],"deprecation_date":"2021-03-19","deprecation_reason":"This resource is no longer available as a database. Instead, all data are hosted in AWS on the Open NeuroData Registry https://registry.opendata.aws/open-neurodata . (The original homepage at http://openconnecto.me is no longer active.)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000657","bsg-d000657"],"name":"FAIRsharing record for: Open Connectome Project","abbreviation":"OCP","url":"https://fairsharing.org/10.25504/FAIRsharing.44wk5g","doi":"10.25504/FAIRsharing.44wk5g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Connectome Project: Reverse Engineering the Brain One Synapse at a Time","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10989},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11107}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science"],"domains":[],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Felis catus","Homo sapiens","Macaca mulatta","Mus musculus","Pristionchus pacificus","Rattus norvegicus","Rhesus macaques"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1202,"pubmed_id":3881956,"title":"The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience","year":1985,"url":"http://doi.org/10.1002/ajmg.1320200110","authors":"R Burns, W Gray Roncal, D leissas, K Lillaney, P Manavalan, E Perlman, D R. Berger, D D. Bock, K Chung,L Grosenick, N Kasthuri, N C. Weiler, K Deisseroth, M Kazhdan, J Lichtman, R. C Reid, S J. Smith, A S. Szalay, J T. Vogelstein, R. J Vogelstein","journal":"Scientific and Statistical Database Management","doi":"10.1145/2484838.2484870","created_at":"2021-09-30T08:24:33.940Z","updated_at":"2021-09-30T11:28:32.042Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 1.0 Generic (CC BY-SA 1.0)","licence_id":188,"licence_url":"https://creativecommons.org/licenses/by-sa/1.0/","link_id":1449,"relation":"undefined"},{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":1448,"relation":"undefined"}],"grants":[{"id":1906,"fairsharing_record_id":2183,"organisation_id":105,"relation":"funds","created_at":"2021-09-30T09:25:24.766Z","updated_at":"2021-09-30T09:29:13.819Z","grant_id":149,"is_lead":false,"saved_state":{"id":105,"name":"Applied Physics Laboratory, John Hopkins University, Maryland, USA","grant":"JHU Applied Research Laboratory IRAD","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":1905,"fairsharing_record_id":2183,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:24.734Z","updated_at":"2021-09-30T09:29:28.762Z","grant_id":263,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"ACI-1261715","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1902,"fairsharing_record_id":2183,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:24.626Z","updated_at":"2021-09-30T09:31:11.699Z","grant_id":1057,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"1R01DA036400-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1904,"fairsharing_record_id":2183,"organisation_id":2931,"relation":"funds","created_at":"2021-09-30T09:25:24.696Z","updated_at":"2021-09-30T09:31:17.608Z","grant_id":1105,"is_lead":false,"saved_state":{"id":2931,"name":"United States Defense Advanced Research Projects Agency (DARPA)","grant":"N66001-14-1-4028","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7898,"fairsharing_record_id":2183,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:33.791Z","updated_at":"2021-09-30T09:29:33.835Z","grant_id":302,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCI-1040114","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9147,"fairsharing_record_id":2183,"organisation_id":1603,"relation":"funds","created_at":"2022-04-11T12:07:17.504Z","updated_at":"2022-04-11T12:07:17.553Z","grant_id":903,"is_lead":false,"saved_state":{"id":1603,"name":"Johns Hopkins University, Baltimore, MD, USA","grant":"JHU Whiting School of Engineering (Dean's Award)","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2190","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T19:50:25.000Z","updated_at":"2023-12-15T10:32:11.708Z","metadata":{"doi":"10.25504/FAIRsharing.ctdss6","name":"VertNet","status":"ready","contacts":[{"contact_name":"Robert Guralnick","contact_email":"robert.guralnick@colorado.edu"}],"homepage":"http://www.vertnet.org/","identifier":2190,"description":"VertNet is a NSF-funded collaborative project that makes biodiversity data free and available on the web. VertNet is a tool designed to help people discover, capture, and publish biodiversity data. It is also the core of a collaboration between hundreds of biocollections that contribute biodiversity data and work together to improve it. VertNet is an engine for training current and future professionals to use and build upon best practices in data quality, curation, research, and data publishing.","abbreviation":"VertNet","data_curation":{"type":"manual"},"support_links":[{"url":"http://form.jotform.us/form/31397097595166","name":"Feedback Form","type":"Contact form"},{"url":"http://www.vertnet.org/resources/help.html","name":"How-To Document","type":"Help documentation"},{"url":"http://portal.vertnet.org/stats","name":"Statistics","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/publications.html","name":"Publications and Videos","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/norms.html","name":"Data Use and Publication","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/georef.html","name":"Georeferencing","type":"Help documentation"},{"url":"http://www.vertnet.org/resources/workshops.html","name":"Training Workshops","type":"Training documentation"},{"url":"https://twitter.com/VertNetOrg","name":"@VertNetOrg","type":"Twitter"}],"data_versioning":"yes","associated_tools":[{"url":"https://cran.r-project.org/web/packages/rvertnet/index.html","name":"VertNet Packages (CRAN)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011058","name":"re3data:r3d100011058","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.vertnet.org/join/join.html#t-tab1","type":"open","notes":"All data is mapped to DarwinCore using the Integrated Publishing Toolkit prior publication."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000664","bsg-d000664"],"name":"FAIRsharing record for: VertNet","abbreviation":"VertNet","url":"https://fairsharing.org/10.25504/FAIRsharing.ctdss6","doi":"10.25504/FAIRsharing.ctdss6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VertNet is a NSF-funded collaborative project that makes biodiversity data free and available on the web. VertNet is a tool designed to help people discover, capture, and publish biodiversity data. It is also the core of a collaboration between hundreds of biocollections that contribute biodiversity data and work together to improve it. VertNet is an engine for training current and future professionals to use and build upon best practices in data quality, curation, research, and data publishing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biodiversity","Life Science"],"domains":["Geographical location"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1534,"pubmed_id":20169109,"title":"VertNet: a new model for biodiversity data sharing.","year":2010,"url":"http://doi.org/10.1371/journal.pbio.1000309","authors":"Constable H,Guralnick R,Wieczorek J,Spencer C,Peterson AT","journal":"PLoS Biol","doi":"10.1371/journal.pbio.1000309","created_at":"2021-09-30T08:25:11.752Z","updated_at":"2021-09-30T08:25:11.752Z"}],"licence_links":[{"licence_name":"VertNet Data Licensing Guide","licence_id":841,"licence_url":"http://www.vertnet.org/resources/datalicensingguide.html","link_id":1598,"relation":"undefined"}],"grants":[{"id":1932,"fairsharing_record_id":2190,"organisation_id":2878,"relation":"maintains","created_at":"2021-09-30T09:25:25.564Z","updated_at":"2021-09-30T09:25:25.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":2878,"name":"Tulane University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1930,"fairsharing_record_id":2190,"organisation_id":1921,"relation":"maintains","created_at":"2021-09-30T09:25:25.491Z","updated_at":"2021-09-30T09:25:25.491Z","grant_id":null,"is_lead":false,"saved_state":{"id":1921,"name":"Museum of Vertebrate Zoology at Berkeley (MVZ), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1934,"fairsharing_record_id":2190,"organisation_id":3044,"relation":"maintains","created_at":"2021-09-30T09:25:25.639Z","updated_at":"2021-09-30T09:25:25.639Z","grant_id":null,"is_lead":false,"saved_state":{"id":3044,"name":"University of Colorado Boulder, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1931,"fairsharing_record_id":2190,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:25.522Z","updated_at":"2021-09-30T09:31:57.045Z","grant_id":1401,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1062193","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9164,"fairsharing_record_id":2190,"organisation_id":1622,"relation":"maintains","created_at":"2022-04-11T12:07:18.676Z","updated_at":"2022-04-11T12:07:18.676Z","grant_id":null,"is_lead":false,"saved_state":{"id":1622,"name":"Kansas State University, Manhattan, KS, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2191","type":"fairsharing_records","attributes":{"created_at":"2015-03-08T20:05:05.000Z","updated_at":"2023-12-15T10:32:01.002Z","metadata":{"doi":"10.25504/FAIRsharing.8a0a61","name":"Fulgoromorpha Lists On the Web","status":"ready","contacts":[{"contact_name":"Thierry Bourgoin","contact_email":"bourgoin@mnhn.fr","contact_orcid":"0000-0001-9277-2478"}],"homepage":"https://flow.hemiptera-databases.org/flow/","citations":[],"identifier":2191,"description":"Fulgoromorpha Lists On the Web (FLOW) is an online database that aims to provide an easy-access summary of available biological published primary data on planthoppers (Hemiptera, Fulgoromorpha), a group of major economic importance. It includes information on taxonomy, nomenclature, bibliography, distribution and various associated biological information on host-plants and parasites (including fossils).","abbreviation":"FLOW","data_curation":{"type":"manual"},"support_links":[{"url":"https://flow.hemiptera-databases.org/flow/?db=flow\u0026page=project\u0026lang=en","type":"Help documentation"},{"url":"https://twitter.com/FLOWwebsite","type":"Twitter"}],"year_creation":1996,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found","notes":"The database encourages authors to send can of their recent papers to speed up updates."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000665","bsg-d000665"],"name":"FAIRsharing record for: Fulgoromorpha Lists On the Web","abbreviation":"FLOW","url":"https://fairsharing.org/10.25504/FAIRsharing.8a0a61","doi":"10.25504/FAIRsharing.8a0a61","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Fulgoromorpha Lists On the Web (FLOW) is an online database that aims to provide an easy-access summary of available biological published primary data on planthoppers (Hemiptera, Fulgoromorpha), a group of major economic importance. It includes information on taxonomy, nomenclature, bibliography, distribution and various associated biological information on host-plants and parasites (including fossils).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Life Science"],"domains":[],"taxonomies":["Fulgoroidea","Fulgoromorpha","Hemiptera","Insecta"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":1935,"fairsharing_record_id":2191,"organisation_id":1920,"relation":"maintains","created_at":"2021-09-30T09:25:25.681Z","updated_at":"2021-09-30T09:25:25.681Z","grant_id":null,"is_lead":false,"saved_state":{"id":1920,"name":"Museum National d'Histoire Naturelle (MNHN), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1936,"fairsharing_record_id":2191,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:25.723Z","updated_at":"2021-09-30T09:25:25.723Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2185","type":"fairsharing_records","attributes":{"created_at":"2015-01-26T10:34:51.000Z","updated_at":"2023-12-15T10:32:41.330Z","metadata":{"doi":"10.25504/FAIRsharing.q9neh8","name":"MGI Mouse Gene Expression Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"mgi-help@jax.org"}],"homepage":"http://www.informatics.jax.org/expression.shtml","citations":[{"doi":"10.1093/nar/gkaa914","pubmed_id":33104772,"publication_id":1721}],"identifier":2185,"description":"The Gene Expression Database (GXD) is a community resource for gene expression information from the laboratory mouse. GXD stores and integrates different types of expression data and makes these data freely available in formats appropriate for comprehensive analysis. There is particular emphasis on endogenous gene expression during mouse development.","abbreviation":"GXD","data_curation":{"url":"https://www.informatics.jax.org/expression.shtml","type":"manual","notes":"All data entered into GXD are reviewed by a team of experienced curators."},"support_links":[{"url":"http://www.informatics.jax.org/mgihome/GXD/FirstTimeUsers.shtml","name":"Help for First-Time Users","type":"Help documentation"},{"url":"http://www.informatics.jax.org/mgihome/homepages/stats/all_stats.shtml#allstats_gxd","name":"Statistics","type":"Help documentation"},{"url":"http://www.informatics.jax.org/mgihome/GXD/aboutGXD.shtml","name":"About GXD","type":"Help documentation"}],"year_creation":1998,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.informatics.jax.org/submit.shtml","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000659","bsg-d000659"],"name":"FAIRsharing record for: MGI Mouse Gene Expression Database","abbreviation":"GXD","url":"https://fairsharing.org/10.25504/FAIRsharing.q9neh8","doi":"10.25504/FAIRsharing.q9neh8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Gene Expression Database (GXD) is a community resource for gene expression information from the laboratory mouse. GXD stores and integrates different types of expression data and makes these data freely available in formats appropriate for comprehensive analysis. There is particular emphasis on endogenous gene expression during mouse development.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18219},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12709}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Transcriptomics"],"domains":["Expression data","Model organism","RNA sequencing","Genome"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":719,"pubmed_id":24958384,"title":"The gene expression database for mouse development (GXD): Putting developmental expression information at your fingertips.","year":2014,"url":"http://doi.org/10.1002/dvdy.24155","authors":"Smith CM, Finger JH, Kadin JA, Richardson JE, Ringwald M.","journal":"Developmental Dynamics","doi":"10.1002/dvdy.24155","created_at":"2021-09-30T08:23:39.244Z","updated_at":"2021-09-30T08:23:39.244Z"},{"id":720,"pubmed_id":24163257,"title":"The mouse Gene Expression Database (GXD): 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt954","authors":"Smith CM, Finger JH, Hayamizu TF, McCright IJ, Xu J, Berghout J, Campbell J, Corbani LE, Forthofer KL, Frost PJ, Miers D, Shaw DR, Stone KR, Eppig JT, Kadin JA, Richardson JE, Ringwald M.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkt954","created_at":"2021-09-30T08:23:39.353Z","updated_at":"2021-09-30T08:23:39.353Z"},{"id":721,"pubmed_id":21062809,"title":"The mouse Gene Expression Database (GXD): 2011 update.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1132","authors":"Finger JH, Smith CM, Hayamizu TF, McCright IJ, Eppig JT, Kadin JA, Richardson JE, Ringwald M.","journal":"Nucleic Acids Res 39 (suppl. 1)","doi":"10.1093/nar/gkq1132","created_at":"2021-09-30T08:23:39.461Z","updated_at":"2021-09-30T08:23:39.461Z"},{"id":1721,"pubmed_id":33104772,"title":"The mouse Gene Expression Database (GXD): 2021 update.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa914","authors":"Baldarelli RM,Smith CM,Finger JH,Hayamizu TF,McCright IJ,Xu J,Shaw DR,Beal JS,Blodgett O,Campbell J,Corbani LE,Frost PJ,Giannatto SC,Miers DB,Kadin JA,Richardson JE,Ringwald M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa914","created_at":"2021-09-30T08:25:32.860Z","updated_at":"2021-09-30T11:29:19.260Z"},{"id":2128,"pubmed_id":17130151,"title":"The mouse Gene Expression Database (GXD): 2007 update.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1003","authors":"Smith CM, Finger JH, Hayamizu TF, McCright IJ, Eppig JT, Kadin JA, Richardson JE, Ringwald, M.","journal":"Nucleic Acids Res. (Database Issue)","doi":"10.1093/nar/gkl1003","created_at":"2021-09-30T08:26:19.991Z","updated_at":"2021-09-30T08:26:19.991Z"},{"id":2138,"pubmed_id":11125060,"title":"The Mouse Gene Expression Database (GXD).","year":2000,"url":"http://doi.org/10.1093/nar/29.1.98","authors":"Ringwald M, Eppig JT, Begley DA, Corradi JP, McCright IJ, Hayamizu TF, Hill DP, Kadin JA, Richardson JE.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/29.1.98","created_at":"2021-09-30T08:26:21.032Z","updated_at":"2021-09-30T08:26:21.032Z"},{"id":2140,"pubmed_id":30335138,"title":"The mouse Gene Expression Database (GXD): 2019 update.","year":2018,"url":"http://doi.org/10.1093/nar/gky922","authors":"Smith CM,Hayamizu TF,Finger JH,Bello SM,McCright IJ,Xu J,Baldarelli RM,Beal JS,Campbell J,Corbani LE,Frost PJ,Lewis JR,Giannatto SC,Miers D,Shaw DR,Kadin JA,Richardson JE,Smith CL,Ringwald M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky922","created_at":"2021-09-30T08:26:21.256Z","updated_at":"2021-09-30T11:29:29.994Z"}],"licence_links":[{"licence_name":"MGI Warranty Disclaimer and Copyright Notice","licence_id":511,"licence_url":"http://www.informatics.jax.org/mgihome/other/copyright.shtml","link_id":493,"relation":"undefined"}],"grants":[{"id":1909,"fairsharing_record_id":2185,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:24.848Z","updated_at":"2021-09-30T09:31:08.671Z","grant_id":1037,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"HD062499","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1910,"fairsharing_record_id":2185,"organisation_id":1901,"relation":"maintains","created_at":"2021-09-30T09:25:24.873Z","updated_at":"2021-09-30T09:25:24.873Z","grant_id":null,"is_lead":false,"saved_state":{"id":1901,"name":"Mouse Genome Informatics (MGI)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2175","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:44.223Z","metadata":{"doi":"10.25504/FAIRsharing.rt38zh","name":"Compartmentalized Protein-Protein Interaction","status":"ready","contacts":[{"contact_name":"Daniel Veres","contact_email":"veres.daniel1@med.semmelweis-univ.hu","contact_orcid":"0000-0002-2968-0666"}],"homepage":"http://comppi.linkgroup.hu/","citations":[],"identifier":2175,"description":"The compartmentalized protein-protein interaction database (ComPPI), provides qualitative information on the interactions, proteins and their localizations integrated from multiple databases for protein-protein interaction network analysis.","abbreviation":"ComPPI","data_curation":{"url":"http://comppi.linkgroup.hu/help/plans","type":"manual","notes":"ComPPI is a community-annotation resource, which will be continuously enriched by a user-community of experts helped by a public issue tracking system and by feedbacks from the core team."},"support_links":[{"url":"http://comppi.linkgroup.hu/contact","type":"Contact form"},{"url":"http://comppi.linkgroup.hu/help","type":"Help documentation"},{"url":"http://comppi.linkgroup.hu/help/tutorial","type":"Training documentation"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"url":"http://comppi.linkgroup.hu/help/terms_of_use","type":"open","notes":"The ComPPI database and the related source code are entirely open to the public"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000648","bsg-d000648"],"name":"FAIRsharing record for: Compartmentalized Protein-Protein Interaction","abbreviation":"ComPPI","url":"https://fairsharing.org/10.25504/FAIRsharing.rt38zh","doi":"10.25504/FAIRsharing.rt38zh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The compartmentalized protein-protein interaction database (ComPPI), provides qualitative information on the interactions, proteins and their localizations integrated from multiple databases for protein-protein interaction network analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Network model","Interactome","Cellular component","Cellular localization","Confidence score"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":692,"pubmed_id":null,"title":"ComPPI: a cellular compartment-specific database for protein-protein interaction network analysis","year":2015,"url":"https://doi.org/10.1093/nar/gku1007","authors":"Veres, V.D., Gyurko, M.D., Thaler, B., Szalay, K., Fazekas, D., Korcsmaros, T. and Csermely, P.","journal":"Nucleic Acid Res. Database Issue","doi":null,"created_at":"2021-09-30T08:23:36.269Z","updated_at":"2021-09-30T11:28:30.439Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":903,"relation":"undefined"}],"grants":[{"id":1876,"fairsharing_record_id":2175,"organisation_id":2121,"relation":"maintains","created_at":"2021-09-30T09:25:23.744Z","updated_at":"2021-09-30T09:25:23.744Z","grant_id":null,"is_lead":false,"saved_state":{"id":2121,"name":"NetBiol, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1878,"fairsharing_record_id":2175,"organisation_id":2545,"relation":"maintains","created_at":"2021-09-30T09:25:23.825Z","updated_at":"2021-09-30T09:25:23.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":2545,"name":"Semmelweis University, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1877,"fairsharing_record_id":2175,"organisation_id":1720,"relation":"maintains","created_at":"2021-09-30T09:25:23.787Z","updated_at":"2021-09-30T09:25:23.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1720,"name":"Link-Group, Budapest, Hungary","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":1879,"fairsharing_record_id":2175,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:25:23.862Z","updated_at":"2021-09-30T09:29:54.253Z","grant_id":460,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"OTKA-K83314","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2184","type":"fairsharing_records","attributes":{"created_at":"2015-01-07T10:43:25.000Z","updated_at":"2023-12-15T10:30:00.865Z","metadata":{"doi":"10.25504/FAIRsharing.vcmz9h","name":"SICAS Medical Image Repository","status":"ready","contacts":[{"contact_name":"Michael Kistler","contact_email":"michael.kistler@si-cas.com","contact_orcid":"0000-0002-1273-9473"}],"homepage":"https://www.smir.ch","citations":[],"identifier":2184,"description":"The Sicas Medical Image Repository is a medical database for academic, scientific, technical and clinical biomedical research and collaboration. Registration is required for data download and usage, although browsing and searching is available without registration.","abbreviation":"SMIR","data_curation":{"type":"manual"},"support_links":[{"url":"https://blog.smir.ch","name":"SMIR Blog","type":"Blog/News"},{"url":"support@smir.ch","name":"support@smir.ch","type":"Support email"},{"url":"https://docs.smir.ch","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/SICASFoundation","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/sicas_ch","name":"@sicas_ch","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/SICASFoundation/vsdConnect","name":"vsdConnect - Python library to connect to the SMIR API 0.8.1"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011560","name":"re3data:r3d100011560","portal":"re3data"}],"data_access_condition":{"type":"controlled"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Registration required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000658","bsg-d000658"],"name":"FAIRsharing record for: SICAS Medical Image Repository","abbreviation":"SMIR","url":"https://fairsharing.org/10.25504/FAIRsharing.vcmz9h","doi":"10.25504/FAIRsharing.vcmz9h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sicas Medical Image Repository is a medical database for academic, scientific, technical and clinical biomedical research and collaboration. Registration is required for data download and usage, although browsing and searching is available without registration.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10990}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Biomedical Science"],"domains":["Image","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":709,"pubmed_id":24220210,"title":"The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration","year":2013,"url":"http://doi.org/10.2196/jmir.2930","authors":"Kistler, Michael; Bonaretti, Serena; Pfahrer, Marcel; Niklaus, Roman; Büchler, Philippe","journal":"Journal of Medical Internet Research","doi":"10.2196/jmir.2930","created_at":"2021-09-30T08:23:38.185Z","updated_at":"2021-09-30T08:23:38.185Z"}],"licence_links":[{"licence_name":"SMIR Terms and Conditions","licence_id":750,"licence_url":"https://www.smir.ch/Home/TermsAndConditions","link_id":620,"relation":"undefined"}],"grants":[{"id":1908,"fairsharing_record_id":2184,"organisation_id":2681,"relation":"maintains","created_at":"2021-09-30T09:25:24.823Z","updated_at":"2021-09-30T09:25:24.823Z","grant_id":null,"is_lead":true,"saved_state":{"id":2681,"name":"Swiss Institute for Computer Assisted Surgery","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2273","type":"fairsharing_records","attributes":{"created_at":"2016-04-08T15:42:45.000Z","updated_at":"2023-12-15T10:32:58.404Z","metadata":{"doi":"10.25504/FAIRsharing.ja871b","name":"EORTC clinical trials","status":"ready","homepage":"http://www.eortc.org/clinical-trials/","identifier":2273,"description":"European Organisation for Research and Treatment of Cancer database of clinical trials.","abbreviation":"EORTC","data_curation":{"type":"none"},"support_links":[{"url":"http://www.eortc.org/contact/","type":"Contact form"}],"data_versioning":"not found","data_access_condition":{"url":"https://www.eortc.org/app/uploads/2023/06/L-01-AF-01.pdf","type":"controlled","notes":"EORTC charges an administrative fee for managing and processing approved requests."},"data_contact_information":"not found","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000747","bsg-d000747"],"name":"FAIRsharing record for: EORTC clinical trials","abbreviation":"EORTC","url":"https://fairsharing.org/10.25504/FAIRsharing.ja871b","doi":"10.25504/FAIRsharing.ja871b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: European Organisation for Research and Treatment of Cancer database of clinical trials.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12746}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science","Preclinical Studies"],"domains":["Cancer","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":2194,"fairsharing_record_id":2273,"organisation_id":948,"relation":"funds","created_at":"2021-09-30T09:25:35.311Z","updated_at":"2021-09-30T09:25:35.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":948,"name":"European Organisation for Research and Treatment of Cancer","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2275","type":"fairsharing_records","attributes":{"created_at":"2016-04-12T13:15:57.000Z","updated_at":"2023-12-15T10:32:19.732Z","metadata":{"doi":"10.25504/FAIRsharing.yfk4w2","name":"Genomics England | PanelApp","status":"ready","contacts":[{"contact_name":"PanelApp team","contact_email":"panelapp@genomicsengland.co.uk"}],"homepage":"https://panelapp.genomicsengland.co.uk/","citations":[],"identifier":2275,"description":"Genomics England PanelApp is a publically-available knowledgebase that allows virtual gene panels related to human disorders to be created, stored and queried. It includes a crowdsourcing tool that allows genes to be added or reviewed by experts throughout the worldwide scientific community, providing an opportunity for the standardisation of gene panels, and a consensus on which genes have sufficient evidence for disease association. The diagnostic grade ‘Green’ genes and their modes of inheritance in the Version 1+ PanelApp virtual gene panels are used to direct the variant tiering process for the interpretation of genomes in the 100,000 Genomes Project and for the National Health Service England Genomic Medicine Service. As panels in PanelApp are publically available, they can also be utilised by others. Experts are asked to register (https://panelapp.genomicsengland.co.uk/accounts/registration/) in order to review and rate the genes on the panel to indicate whether there is a diagnostic-grade level of evidence for the gene to be implicated in a given disease. Bioinformaticians can access the data via the PanelApp API (https://panelapp.genomicsengland.co.uk/#!API). More detailed background information, instructions and updates can be found on the PanelApp homepage tabs.","abbreviation":"PanelApp","data_curation":{"url":"https://panelapp.genomicsengland.co.uk/#!Reviewers","type":"manual","notes":"PanelApp has a crowdsourcing review tool to allow each gene to be reviewed and commented on by experts within the scientific community."},"support_links":[{"url":"https://panelapp.genomicsengland.co.uk/#!News","name":"News","type":"Blog/News"},{"url":"https://panelapp.genomicsengland.co.uk/#!FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://panelapp.genomicsengland.co.uk/","type":"Help documentation"},{"url":"https://panelapp.genomicsengland.co.uk/#!Navigating","type":"Help documentation"},{"url":"https://panelapp.genomicsengland.co.uk/#!Guidelines","name":"Guidelines","type":"Help documentation"},{"url":"https://twitter.com/GenomicsEngland","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://panelapp.genomicsengland.co.uk/","name":"PanelApp"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://panelapp.genomicsengland.co.uk/#!FAQs","type":"open","notes":"Template form can be sent by email upon request for submission of panels of genes from experts for the rare diseases covered in the 100,000 Genomes Project."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000749","bsg-d000749"],"name":"FAIRsharing record for: Genomics England | PanelApp","abbreviation":"PanelApp","url":"https://fairsharing.org/10.25504/FAIRsharing.yfk4w2","doi":"10.25504/FAIRsharing.yfk4w2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genomics England PanelApp is a publically-available knowledgebase that allows virtual gene panels related to human disorders to be created, stored and queried. It includes a crowdsourcing tool that allows genes to be added or reviewed by experts throughout the worldwide scientific community, providing an opportunity for the standardisation of gene panels, and a consensus on which genes have sufficient evidence for disease association. The diagnostic grade ‘Green’ genes and their modes of inheritance in the Version 1+ PanelApp virtual gene panels are used to direct the variant tiering process for the interpretation of genomes in the 100,000 Genomes Project and for the National Health Service England Genomic Medicine Service. As panels in PanelApp are publically available, they can also be utilised by others. Experts are asked to register (https://panelapp.genomicsengland.co.uk/accounts/registration/) in order to review and rate the genes on the panel to indicate whether there is a diagnostic-grade level of evidence for the gene to be implicated in a given disease. Bioinformaticians can access the data via the PanelApp API (https://panelapp.genomicsengland.co.uk/#!API). More detailed background information, instructions and updates can be found on the PanelApp homepage tabs.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12325},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12748}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Virology","Life Science","Epidemiology"],"domains":["Cancer","Rare disease","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[{"id":3014,"pubmed_id":31676867,"title":"PanelApp crowdsources expert knowledge to establish consensus diagnostic gene panels.","year":2019,"url":"http://doi.org/10.1038/s41588-019-0528-2","authors":"Martin AR,Williams E,Foulger RE,Leigh S,Daugherty LC,Niblock O,Leong IUS,Smith KR,Gerasimenko O,Haraldsdottir E,Thomas E,Scott RH,Baple E,Tucci A,Brittain H,de Burca A,Ibanez K,Kasperaviciute D,Smedley D,Caulfield M,Rendon A,McDonagh EM","journal":"Nat Genet","doi":"10.1038/s41588-019-0528-2","created_at":"2021-09-30T08:28:11.566Z","updated_at":"2021-09-30T08:28:11.566Z"}],"licence_links":[{"licence_name":"PanelApp Terms of Use","licence_id":644,"licence_url":"https://panelapp.genomicsengland.co.uk/media/files/GEL_-_PanelApp_Terms_of_Use_December_2019.pdf","link_id":1668,"relation":"undefined"}],"grants":[{"id":2197,"fairsharing_record_id":2275,"organisation_id":1116,"relation":"maintains","created_at":"2021-09-30T09:25:35.429Z","updated_at":"2021-09-30T09:25:35.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":1116,"name":"Genomics England, London, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2276","type":"fairsharing_records","attributes":{"created_at":"2016-04-13T08:55:39.000Z","updated_at":"2023-06-22T17:03:44.300Z","metadata":{"doi":"10.25504/FAIRsharing.hs4d6r","name":"miRandola: extracellular circulating RNAs database","status":"ready","contacts":[{"contact_name":"Francesco Russo","contact_email":"francesco.russo@iit.cnr.it","contact_orcid":"0000-0001-9257-4359"}],"homepage":"http://mirandola.iit.cnr.it/","citations":[],"identifier":2276,"description":"The miRandola database is the first resource for extracellular circulating RNAs. The first version of the database has been published on Plos One in 2012. It mainly contains information on circulating microRNAs and other non-coding RNAs. It is manually curated and constantly updated by the authors (usually once a year). We have extracted data from PubMed papers and Exocarta (a database that collects data regarding exosomes). We report information on methods of RNA extraction and qualification, diseases, experimental description, expression data and the potential biomarker role. We are updating the database with other RNAs and the future direction is to have a portal for all the non invasive biomarkers such as cell free DNA and circulating tumor cells.","abbreviation":"miRandola","data_curation":{"url":"http://mirandola.iit.cnr.it/about.php","type":"manual"},"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"http://ferrolab.dmi.unict.it/miro/","name":"miRo'"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000750","bsg-d000750"],"name":"FAIRsharing record for: miRandola: extracellular circulating RNAs database","abbreviation":"miRandola","url":"https://fairsharing.org/10.25504/FAIRsharing.hs4d6r","doi":"10.25504/FAIRsharing.hs4d6r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The miRandola database is the first resource for extracellular circulating RNAs. The first version of the database has been published on Plos One in 2012. It mainly contains information on circulating microRNAs and other non-coding RNAs. It is manually curated and constantly updated by the authors (usually once a year). We have extracted data from PubMed papers and Exocarta (a database that collects data regarding exosomes). We report information on methods of RNA extraction and qualification, diseases, experimental description, expression data and the potential biomarker role. We are updating the database with other RNAs and the future direction is to have a portal for all the non invasive biomarkers such as cell free DNA and circulating tumor cells.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics"],"domains":["Biomarker","Cancer","Vesicle","Extracellular exosome","Long non-coding ribonucleic acid","Circulating cell-free RNA","Micro RNA","Non-coding RNA","Cardiovascular disease"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1017,"pubmed_id":23094086,"title":"miRandola: extracellular circulating microRNAs database.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0047786","authors":"Russo F, Di Bella S, Nigita G, Macca V, Laganà A, Giugno R, Pulvirenti A, Ferro A","journal":"Plos One","doi":"10.1371/journal.pone.0047786","created_at":"2021-09-30T08:24:12.588Z","updated_at":"2021-09-30T08:24:12.588Z"},{"id":1018,"pubmed_id":25077952,"title":"A knowledge base for the discovery of function, diagnostic potential and drug effects on cellular and extracellular miRNAs.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-S3-S4","authors":"Russo F, Di Bella S, Bonnici V, Laganà A, Rainaldi G, Pellegrini M, Pulvirenti A, Giugno R, Ferro A","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-S3-S4","created_at":"2021-09-30T08:24:12.748Z","updated_at":"2021-09-30T08:24:12.748Z"}],"licence_links":[],"grants":[{"id":2198,"fairsharing_record_id":2276,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:25:35.471Z","updated_at":"2021-09-30T09:25:35.471Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2202,"fairsharing_record_id":2276,"organisation_id":3040,"relation":"maintains","created_at":"2021-09-30T09:25:35.628Z","updated_at":"2021-09-30T09:25:35.628Z","grant_id":null,"is_lead":false,"saved_state":{"id":3040,"name":"University of Catania, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2199,"fairsharing_record_id":2276,"organisation_id":2237,"relation":"maintains","created_at":"2021-09-30T09:25:35.508Z","updated_at":"2021-09-30T09:25:35.508Z","grant_id":null,"is_lead":false,"saved_state":{"id":2237,"name":"Ohio State University, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2200,"fairsharing_record_id":2276,"organisation_id":1411,"relation":"maintains","created_at":"2021-09-30T09:25:35.545Z","updated_at":"2021-09-30T09:25:35.545Z","grant_id":null,"is_lead":false,"saved_state":{"id":1411,"name":"Institute of Clinical Physiology (IFC-CNR), Pisa, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2201,"fairsharing_record_id":2276,"organisation_id":1419,"relation":"maintains","created_at":"2021-09-30T09:25:35.583Z","updated_at":"2021-09-30T09:25:35.583Z","grant_id":null,"is_lead":false,"saved_state":{"id":1419,"name":"Institute of Informatics and Telematics (ITT), National Research Council, Pisa, Italy","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2280","type":"fairsharing_records","attributes":{"created_at":"2016-04-13T16:28:43.000Z","updated_at":"2024-06-17T09:07:57.920Z","metadata":{"doi":"10.25504/FAIRsharing.p5f1j4","name":"Deciphering the Mechanisms of Developmental Disorders","status":"deprecated","contacts":[{"contact_name":"Contact","contact_email":"contact@dmdd.org.uk"}],"homepage":"https://dmdd.org.uk","citations":[],"identifier":2280,"description":"Initiated in 2013, DMDD has the ambitious goal of identifying all embryonic lethal knockout lines made at the Wellcome Trust Sanger institute, through their work as a major centre for creation of individual mouse gene knockouts. DMDD uses a combination of comprehensive 3D imaging, tissue histology, immunocytochemistry and transcriptomics to identify abnormalities in embryo and placental structure for each embryonic lethal line. All data is made freely available via this web site, enabling individual researchers to identify lines relevant to their own research. The DMDD programme is coordinating its work with similar international efforts through the umbrella of the International Mouse Phenotyping Consortium.","abbreviation":"DMDD","data_curation":{"type":"not found"},"support_links":[{"url":"contact@dmdd.org.uk","type":"Support email"},{"url":"https://twitter.com/dmdduk","type":"Twitter"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2024-06-14","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000754","bsg-d000754"],"name":"FAIRsharing record for: Deciphering the Mechanisms of Developmental Disorders","abbreviation":"DMDD","url":"https://fairsharing.org/10.25504/FAIRsharing.p5f1j4","doi":"10.25504/FAIRsharing.p5f1j4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Initiated in 2013, DMDD has the ambitious goal of identifying all embryonic lethal knockout lines made at the Wellcome Trust Sanger institute, through their work as a major centre for creation of individual mouse gene knockouts. DMDD uses a combination of comprehensive 3D imaging, tissue histology, immunocytochemistry and transcriptomics to identify abnormalities in embryo and placental structure for each embryonic lethal line. All data is made freely available via this web site, enabling individual researchers to identify lines relevant to their own research. The DMDD programme is coordinating its work with similar international efforts through the umbrella of the International Mouse Phenotyping Consortium.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Developmental Biology"],"domains":["Imaging","Disease phenotype"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1045,"pubmed_id":26519470,"title":"Deciphering the mechanisms of developmental disorders: phenotype analysis of embryos from mutant mouse lines.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1138","authors":"Wilson R,McGuire C,Mohun T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1138","created_at":"2021-09-30T08:24:15.695Z","updated_at":"2021-09-30T11:28:57.284Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":856,"relation":"undefined"}],"grants":[{"id":2206,"fairsharing_record_id":2280,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:35.750Z","updated_at":"2021-09-30T09:25:35.750Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2207,"fairsharing_record_id":2280,"organisation_id":1046,"relation":"maintains","created_at":"2021-09-30T09:25:35.783Z","updated_at":"2021-09-30T09:25:35.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":1046,"name":"Francis Crick Institute, London, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2291","type":"fairsharing_records","attributes":{"created_at":"2016-04-21T19:43:20.000Z","updated_at":"2024-02-27T17:02:39.644Z","metadata":{"doi":"10.25504/FAIRsharing.exc0vp","name":"iDog","status":"ready","contacts":[{"contact_name":"Wang Yanqing","contact_email":"wangyanqing@big.ac.cn"}],"homepage":"https://ngdc.cncb.ac.cn/idog/","citations":[{"doi":"10.1093/nar/gku1174","pubmed_id":25404132,"publication_id":1122}],"identifier":2291,"description":"iDog is an integrated resource for domestic dog (Canis lupus familiaris) and wild canids that provides the worldwide dog research community a variety of data services. This includes Genes, Genomes, SNPs, Breed/Disease Traits, Gene Expressions, Single Cell, Dog-Human Homolog Diseases and Literatures. In addition, iDog provides Online tools for performing genomic data visualization and analyses.","abbreviation":"iDog","data_curation":{"type":"not found"},"support_links":[{"url":"http://bigd.big.ac.cn/idog/pages/help/dogsd_help.jsp","name":"How to use Dog Genome Database (DogGD) ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/tutorial.jsp","name":"Tutorial","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/idog_breeds_nomenclature.jsp","name":"iDog Breeds Nomenclature ","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/gene_query.jsp","name":"Gene Query Help","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/dogpd_help.jsp","name":"How to use Dog Phenotype Database (DogPD) ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/doged_help.jsp","name":"How to use Dog Expression Database (DogED) ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/dogonline_help.jsp","name":"How to use DogOnline ?","type":"Help documentation"},{"url":"https://ngdc.cncb.ac.cn/idog/pages/help/faq.jsp","type":"Frequently Asked Questions (FAQs)"},{"url":"idog@big.ac.cn","name":" iDog Helpdesk","type":"Support email"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"https://ngdc.cncb.ac.cn/egpscloud/data/app/egpscloud@big.ac.cn/bwa/conf/page.jsp?appId=270\u0026appCreateBy=egpscloud@big.ac.cn\u0026appName=bwa\u0026fromidog=1","name":"BWA"},{"url":"https://ngdc.cncb.ac.cn/dogvc/","name":"Dog Visual Classification"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012176","name":"re3data:r3d100012176","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000765","bsg-d000765"],"name":"FAIRsharing record for: iDog","abbreviation":"iDog","url":"https://fairsharing.org/10.25504/FAIRsharing.exc0vp","doi":"10.25504/FAIRsharing.exc0vp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iDog is an integrated resource for domestic dog (Canis lupus familiaris) and wild canids that provides the worldwide dog research community a variety of data services. This includes Genes, Genomes, SNPs, Breed/Disease Traits, Gene Expressions, Single Cell, Dog-Human Homolog Diseases and Literatures. In addition, iDog provides Online tools for performing genomic data visualization and analyses.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Genetics","Comparative Genomics"],"domains":["Expression data","Genome annotation","Genome visualization","Gene functional annotation","Gene expression","Single nucleotide polymorphism","Genome","Gene-disease association"],"taxonomies":["Canis familiaris","Canis lupus","Cuon alpinus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":1122,"pubmed_id":25404132,"title":"DoGSD: the dog and wolf genome SNP database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1174","authors":"Bai B,Zhao WM,Tang BX,Wang YQ,Wang L,Zhang Z,Yang HC,Liu YH,Zhu JW,Irwin DM,Wang GD,Zhang YP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1174","created_at":"2021-09-30T08:24:24.279Z","updated_at":"2021-09-30T11:28:59.560Z"},{"id":2807,"pubmed_id":30371881,"title":"iDog: an integrated resource for domestic dogs and wild canids.","year":2018,"url":"http://doi.org/10.1093/nar/gky1041","authors":"Tang B,Zhou Q,Dong L,Li W,Zhang X,Lan L,Zhai S,Xiao J,Zhang Z,Bao Y,Zhang YP,Wang GD,Zhao W","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1041","created_at":"2021-09-30T08:27:45.170Z","updated_at":"2021-09-30T11:29:45.354Z"},{"id":3144,"pubmed_id":33175170,"title":"Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021.","year":2021,"url":"https://doi.org/10.1093/nar/gkaa1022","authors":"CNCB-NGDC Members and Partners.","journal":"Nucleic acids research","doi":"10.1093/nar/gkaa1022","created_at":"2021-12-02T14:55:04.738Z","updated_at":"2021-12-02T14:55:04.738Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":3514,"relation":"applies_to_content"},{"licence_name":"NGDC Data Usage Policy","licence_id":575,"licence_url":"https://bigd.big.ac.cn/policies","link_id":80,"relation":"undefined"}],"grants":[{"id":2226,"fairsharing_record_id":2291,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:25:36.477Z","updated_at":"2021-09-30T09:25:36.477Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2292","type":"fairsharing_records","attributes":{"created_at":"2016-04-24T12:29:07.000Z","updated_at":"2021-11-24T13:19:31.831Z","metadata":{"doi":"10.25504/FAIRsharing.1v4zw7","name":"OmicsDB","status":"deprecated","contacts":[{"contact_name":"Keiron O'Shea","contact_email":"keo7@aber.ac.uk","contact_orcid":"0000-0002-9043-3496"}],"homepage":"https://github.com/KeironO/omicsdb","identifier":2292,"description":"OmicsDB is a database for the storage and management of omics data and auxiliary information. The database contains cross-species, cross-technique and cross-types. It offers user-submission tools of which aim to reduce the work revolving adherence to standards. The resource homepage is currently unavailable. If you have any information on the current status of this resource, please contact us.","abbreviation":"ODB","data_curation":{"type":"not found"},"year_creation":2016,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000766","bsg-d000766"],"name":"FAIRsharing record for: OmicsDB","abbreviation":"ODB","url":"https://fairsharing.org/10.25504/FAIRsharing.1v4zw7","doi":"10.25504/FAIRsharing.1v4zw7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OmicsDB is a database for the storage and management of omics data and auxiliary information. The database contains cross-species, cross-technique and cross-types. It offers user-submission tools of which aim to reduce the work revolving adherence to standards. The resource homepage is currently unavailable. If you have any information on the current status of this resource, please contact us.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":[],"taxonomies":["All","Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1379,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2293","type":"fairsharing_records","attributes":{"created_at":"2016-04-26T13:27:00.000Z","updated_at":"2024-02-21T11:49:08.314Z","metadata":{"doi":"10.25504/FAIRsharing.4shj9c","name":"dictyBase","status":"ready","contacts":[{"contact_name":"dictyBase Helpdesk","contact_email":"dictybase@northwestern.edu"}],"homepage":"http://www.dictybase.org","citations":[{"doi":"10.1007/978-1-62703-302-2_4","pubmed_id":23494302,"publication_id":2107}],"identifier":2293,"description":"dictyBase is a single-access database for the complete genome sequence and expression data of four Dictyostelid species providing information on research, genome and annotations. There is also a repository of plasmids and strains held at the Dicty Stock Centre. Relevant literature is integrated into the database, and gene models and functional annotation are manually curated from experimental results and comparative multigenome analyses. Please note that, while the homepage we have listed (http://www.dictybase.org/) is accessible, its front page suggests redirection to https://dictycr.org/ which is not accessible. Therefore we are unsure of the status of this resource.","abbreviation":null,"data_curation":{"url":"http://www.dictybase.org/FAQ/FAQ.html#curation","type":"manual"},"support_links":[{"url":"http://dictybase.org/FAQ/HelpFilesIndex.html","name":"dictyBase Help","type":"Help documentation"},{"url":"http://dictybase.org/About_dictyBase/","name":"About dictyBase","type":"Help documentation"},{"url":"http://dictybase.org/tutorial/","name":"Tutorial","type":"Training documentation"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"http://dictybase.org/tools/jbrowse/","name":"JBrowse 1.11.6"},{"url":"http://dictybase.org/browser/gbrowse/discoideum/?name=1:1..30000","name":"Genome Browser"},{"url":"http://dictybase.org/tools/blast","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010586","name":"re3data:r3d100010586","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006643","name":"SciCrunch:RRID:SCR_006643","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000767","bsg-d000767"],"name":"FAIRsharing record for: dictyBase","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4shj9c","doi":"10.25504/FAIRsharing.4shj9c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: dictyBase is a single-access database for the complete genome sequence and expression data of four Dictyostelid species providing information on research, genome and annotations. There is also a repository of plasmids and strains held at the Dicty Stock Centre. Relevant literature is integrated into the database, and gene models and functional annotation are manually curated from experimental results and comparative multigenome analyses. Please note that, while the homepage we have listed (http://www.dictybase.org/) is accessible, its front page suggests redirection to https://dictycr.org/ which is not accessible. Therefore we are unsure of the status of this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Life Science","Comparative Genomics"],"domains":["Codon usage table","Gene functional annotation","Cellular component","Plasmid","Phenotype","Genome","Genetic strain"],"taxonomies":["Dictyostelium discoideum","Dictyostelium fasciculatum","Dictyostelium purpureum","Polysphondylium pallidum"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2107,"pubmed_id":23494302,"title":"One stop shop for everything Dictyostelium: dictyBase and the Dicty Stock Center in 2012.","year":2013,"url":"http://doi.org/10.1007/978-1-62703-302-2_4","authors":"Fey P,Dodson RJ,Basu S,Chisholm RL","journal":"Methods Mol Biol","doi":"10.1007/978-1-62703-302-2_4","created_at":"2021-09-30T08:26:17.466Z","updated_at":"2021-09-30T08:26:17.466Z"},{"id":2108,"pubmed_id":23172289,"title":"DictyBase 2013: integrating multiple Dictyostelid species.","year":2012,"url":"http://doi.org/10.1093/nar/gks1064","authors":"Basu S,Fey P,Pandit Y,Dodson R,Kibbe WA,Chisholm RL","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1064","created_at":"2021-09-30T08:26:17.572Z","updated_at":"2021-09-30T11:29:28.586Z"},{"id":2109,"pubmed_id":14681427,"title":"dictyBase: a new Dictyostelium discoideum genome database.","year":2003,"url":"http://doi.org/10.1093/nar/gkh138","authors":"Kreppel L,Fey P,Gaudet P,Just E,Kibbe WA,Chisholm RL,Kimmel AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkh138","created_at":"2021-09-30T08:26:17.764Z","updated_at":"2021-09-30T11:29:28.731Z"}],"licence_links":[],"grants":[{"id":2228,"fairsharing_record_id":2293,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:36.555Z","updated_at":"2021-09-30T09:25:36.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2231,"fairsharing_record_id":2293,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:36.666Z","updated_at":"2021-09-30T09:25:36.666Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2229,"fairsharing_record_id":2293,"organisation_id":2184,"relation":"maintains","created_at":"2021-09-30T09:25:36.596Z","updated_at":"2024-02-21T09:12:17.881Z","grant_id":null,"is_lead":true,"saved_state":{"id":2184,"name":"Northwestern University, Chicago, IL, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2283","type":"fairsharing_records","attributes":{"created_at":"2016-04-19T10:01:57.000Z","updated_at":"2024-01-25T10:12:28.234Z","metadata":{"doi":"10.25504/FAIRsharing.ekj9zx","name":"Standards for Reporting Enzymology Data Database","status":"ready","contacts":[{"contact_name":"Carsten Kettner","contact_email":"strenda@beilstein-institut.de","contact_orcid":"0000-0002-8697-6842"}],"homepage":"https://www.beilstein-strenda-db.org/strenda/","citations":[{"doi":"10.1111/febs.14427","pubmed_id":29498804,"publication_id":3082}],"identifier":2283,"description":"STRENDA DB is a storage and search platform supported by the Beilstein-Institut that incorporates the STRENDA Guidelines in a user-friendly, web-based system. If you are an author who is preparing a manuscript containing functional enzymology data, STRENDA DB provides you the means to ensure that your data sets are complete and valid before you submit them as part of a publication to a journal. Data entered in the STRENDA DB submission form are automatically checked for compliance with the STRENDA Guidelines; users receive warnings informing them when necessary information is missing. A successful formal compliance is confirmed by the awarding of a STRENDA Registry Number (SRN) and documented in a fact sheet (PDF) containing all input data that can be submitted with the manuscript to the journal. In addition, each dataset is assigned a DOI that allows reference and tracking of the data. The data become publicly available in the database only after the corresponding article has been peer-reviewed and published in a journal.","abbreviation":"STRENDA DB","data_curation":{"url":"https://www.beilstein-strenda-db.org/strenda/help/STRENDA_DB_UserGuide_v0.92.pdf","type":"manual"},"support_links":[{"url":"strenda-db-service@beilstein-institut.de","name":"General Contact","type":"Support email"},{"url":"https://www.beilstein-strenda-db.org/strenda/help/helpOverview.xhtml","name":"Help","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012329","name":"re3data:r3d100012329","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_017422","name":"SciCrunch:RRID:SCR_017422","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.beilstein-strenda-db.org/strenda/help/STRENDA_DB_UserGuide_v0.92.pdf","type":"open","notes":"Login is required to submit data"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000757","bsg-d000757"],"name":"FAIRsharing record for: Standards for Reporting Enzymology Data Database","abbreviation":"STRENDA DB","url":"https://fairsharing.org/10.25504/FAIRsharing.ekj9zx","doi":"10.25504/FAIRsharing.ekj9zx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: STRENDA DB is a storage and search platform supported by the Beilstein-Institut that incorporates the STRENDA Guidelines in a user-friendly, web-based system. If you are an author who is preparing a manuscript containing functional enzymology data, STRENDA DB provides you the means to ensure that your data sets are complete and valid before you submit them as part of a publication to a journal. Data entered in the STRENDA DB submission form are automatically checked for compliance with the STRENDA Guidelines; users receive warnings informing them when necessary information is missing. A successful formal compliance is confirmed by the awarding of a STRENDA Registry Number (SRN) and documented in a fact sheet (PDF) containing all input data that can be submitted with the manuscript to the journal. In addition, each dataset is assigned a DOI that allows reference and tracking of the data. The data become publicly available in the database only after the corresponding article has been peer-reviewed and published in a journal.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17776}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Enzymology"],"domains":["Reaction data","Assay","Protocol","Enzyme","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":3082,"pubmed_id":29498804,"title":"STRENDA DB: enabling the validation and sharing of enzyme kinetics data","year":2018,"url":"http://doi.org/10.1111/febs.14427","authors":"Swainston, N., Baici, A., Bakker, B.M., et al.","journal":"The FEBS J.","doi":"10.1111/febs.14427","created_at":"2021-09-30T08:28:19.739Z","updated_at":"2021-09-30T08:28:19.739Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2125,"relation":"undefined"}],"grants":[{"id":2212,"fairsharing_record_id":2283,"organisation_id":2654,"relation":"maintains","created_at":"2021-09-30T09:25:35.976Z","updated_at":"2021-09-30T09:25:35.976Z","grant_id":null,"is_lead":false,"saved_state":{"id":2654,"name":"STRENDA Commission","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2213,"fairsharing_record_id":2283,"organisation_id":195,"relation":"funds","created_at":"2021-09-30T09:25:36.012Z","updated_at":"2021-09-30T09:25:36.012Z","grant_id":null,"is_lead":false,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBWWc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--758ad1a51ebee7d3e2718d4b98a222d3b5f004ba/Logo_Beilstein_STRENDA_CMYK.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2285","type":"fairsharing_records","attributes":{"created_at":"2016-04-20T11:48:19.000Z","updated_at":"2023-06-22T16:29:33.378Z","metadata":{"doi":"10.25504/FAIRsharing.xhxe2j","name":"e-Mouse Atlas","status":"deprecated","contacts":[{"contact_name":"Richard Baldock","contact_email":"Richard.Baldock@igmm.ed.ac.uk"}],"homepage":"http://www.emouseatlas.org/emap/ema/home.html","citations":[],"identifier":2285,"description":"The e-Mouse Atlas (EMA) is a detailed model of the developing mouse. Its purpose is not only to provide information about the shape, gross anatomy and detailed histological structure of the mouse, but also to provide a framework into which information about gene function can be mapped. The spatial, temporal and anatomical integration achieved by mapping diverse data to the organism itself rather than simply to database tables, allows powerful computational analyses. The website presents 3D volumetric models of the embryo linked, in most cases, to comprehensive and detailed images of histological structure. The embryo models and anatomy in EMA are organized by standard developmental stage (TS. after Theiler, 1989) and age of the embryo in days post coitum (dpc.). Gene-expression and other image data is also available.","abbreviation":"EMA","data_curation":{"url":"https://doi.org/10.1093/nar/gkt1155","type":"manual/automated"},"support_links":[{"url":"http://www.emouseatlas.org/emage/help/contact.html","type":"Contact form"},{"url":"http://www.emouseatlas.org/emage/help/all_help.html","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emage/help/documentation.html","type":"Help documentation"},{"url":"http://www.emouseatlas.org/emage/help/tutorials.html","type":"Training documentation"}],"year_creation":2000,"data_versioning":"not found","associated_tools":[{"url":"https://github.com/ma-tech","name":"Image manipulation and visualisation code"},{"url":"http://www.emouseatlas.org/emap/analysis_tools_resources/software.html","name":"Image manipulation and visualisation tools"}],"deprecation_date":"2023-05-10","deprecation_reason":"As described on their homepage, as of April 2023 the Mouse Atlas resource has been unfunded for 5 years and maintained in \"as-is\" state by the Human Genetics Unit. That support will be withdrawn and the machines decommisioned in September 2023. As such, this resource has been marked as deprecated.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000759","bsg-d000759"],"name":"FAIRsharing record for: e-Mouse Atlas","abbreviation":"EMA","url":"https://fairsharing.org/10.25504/FAIRsharing.xhxe2j","doi":"10.25504/FAIRsharing.xhxe2j","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The e-Mouse Atlas (EMA) is a detailed model of the developing mouse. Its purpose is not only to provide information about the shape, gross anatomy and detailed histological structure of the mouse, but also to provide a framework into which information about gene function can be mapped. The spatial, temporal and anatomical integration achieved by mapping diverse data to the organism itself rather than simply to database tables, allows powerful computational analyses. The website presents 3D volumetric models of the embryo linked, in most cases, to comprehensive and detailed images of histological structure. The embryo models and anatomy in EMA are organized by standard developmental stage (TS. after Theiler, 1989) and age of the embryo in days post coitum (dpc.). Gene-expression and other image data is also available.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11222},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11367},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12148}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Developmental Biology"],"domains":["Bioimaging","Gene expression","Image","Life cycle stage"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1108,"pubmed_id":24265223,"title":"EMAGE mouse embryo spatial gene expression database: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1155","authors":"Richardson L,Venkataraman S,Stevenson P,Yang Y,Moss J,Graham L,Burton N,Hill B,Rao J,Baldock RA,Armit C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1155","created_at":"2021-09-30T08:24:22.755Z","updated_at":"2021-09-30T11:28:58.918Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":555,"relation":"undefined"}],"grants":[{"id":2217,"fairsharing_record_id":2285,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:36.148Z","updated_at":"2021-09-30T09:25:36.148Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2215,"fairsharing_record_id":2285,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:36.092Z","updated_at":"2021-09-30T09:25:36.092Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2216,"fairsharing_record_id":2285,"organisation_id":1903,"relation":"maintains","created_at":"2021-09-30T09:25:36.124Z","updated_at":"2021-09-30T09:25:36.124Z","grant_id":null,"is_lead":false,"saved_state":{"id":1903,"name":"MRC Institute of Genetics \u0026 Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa0VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--71d6e2742ca691b817c763ac1cce0cfcb0045f48/ema_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2290","type":"fairsharing_records","attributes":{"created_at":"2016-04-21T19:30:56.000Z","updated_at":"2024-03-21T13:59:05.919Z","metadata":{"doi":"10.25504/FAIRsharing.4m97ah","name":"BioPortal","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"support@bioontology.org","contact_orcid":"0000-0001-6875-5360"}],"homepage":"http://bioportal.bioontology.org/","citations":[{"doi":"10.1093/nar/gkr469","pubmed_id":21672956,"publication_id":1120}],"identifier":2290,"description":"BioPortal is a library of biomedical ontologies and terminologies developed in Web Ontology Language (OWL), Resource Description Framework (RDF)(S), Open Biological and Biomedical Ontologies (OBO) format, and Protégé frames and Rich Release Format. BioPortal groups ontologies by domain to aid discoverability and allows users to browse, search and visualize the content of ontologies. BioPortal also provides ontology recommendation, text annotation, ontology mapping, and a reference index to resources like PubMed.","abbreviation":"BioPortal","data_curation":{"url":"https://data.bioontology.org/documentation#nav_annotator","type":"manual/automated"},"support_links":[{"url":"https://bioportal.bioontology.org/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.bioontology.org/wiki/BioPortal_FAQ","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.bioontology.org/wiki/BioPortal_Help","name":"BioPortal Help","type":"Help documentation"},{"url":"https://www.bioontology.org/wiki/BioPortal_Release_Notes","name":"Release Notes","type":"Help documentation"},{"url":"http://github.com/ncbo","name":"Github Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/browsing-the-enanomapper-ontology-with-bioportal-aberowl-and-protege","name":"Browsing the eNanoMapper ontology with BioPortal, AberOWL and Protg","type":"TeSS links to training materials"},{"url":"https://twitter.com/bioontology","name":"@bioontology","type":"Twitter"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"https://ontoportal.github.io/administration/","name":"OntoPortal Virtual Appliance 3.0"},{"url":"https://www.bioontology.org/wiki/NCBO_Widgets","name":"NCBO Widgets"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012344","name":"re3data:r3d100012344","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002713","name":"SciCrunch:RRID:SCR_002713","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html","name":"NIH-Supported Data Sharing Resource (sustained support)"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://ncbo.bioontology.org/BioPortal","name":"open-source archives"},"data_deposition_condition":{"url":"https://www.bioontology.org/wiki/BioPortal_Help#Submitting_an_ontology","type":"controlled","notes":"Sign-up required for submission"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000764","bsg-d000764"],"name":"FAIRsharing record for: BioPortal","abbreviation":"BioPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.4m97ah","doi":"10.25504/FAIRsharing.4m97ah","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioPortal is a library of biomedical ontologies and terminologies developed in Web Ontology Language (OWL), Resource Description Framework (RDF)(S), Open Biological and Biomedical Ontologies (OBO) format, and Protégé frames and Rich Release Format. BioPortal groups ontologies by domain to aid discoverability and allows users to browse, search and visualize the content of ontologies. BioPortal also provides ontology recommendation, text annotation, ontology mapping, and a reference index to resources like PubMed.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11129},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12255},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19989}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Ontology and Terminology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1120,"pubmed_id":21672956,"title":"BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications.","year":2011,"url":"http://doi.org/10.1093/nar/gkr469","authors":"Whetzel PL,Noy NF,Shah NH,Alexander PR,Nyulas C,Tudorache T,Musen MA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr469","created_at":"2021-09-30T08:24:24.070Z","updated_at":"2021-09-30T11:28:59.460Z"}],"licence_links":[],"grants":[{"id":2224,"fairsharing_record_id":2290,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:25:36.396Z","updated_at":"2021-09-30T09:25:36.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2223,"fairsharing_record_id":2290,"organisation_id":1959,"relation":"maintains","created_at":"2021-09-30T09:25:36.354Z","updated_at":"2021-09-30T09:25:36.354Z","grant_id":null,"is_lead":true,"saved_state":{"id":1959,"name":"National Center for Biomedical Ontology (NCBO), Stanford, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":11579,"fairsharing_record_id":2290,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:59:05.162Z","updated_at":"2024-03-21T13:59:05.821Z","grant_id":37,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54-HG004028","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2271","type":"fairsharing_records","attributes":{"created_at":"2016-04-08T12:26:03.000Z","updated_at":"2023-12-15T10:31:25.945Z","metadata":{"doi":"10.25504/FAIRsharing.566n8c","name":"EU Clinical Trial Register","status":"ready","contacts":[{"contact_email":"euctr@ema.europa.eu"}],"homepage":"https://www.clinicaltrialsregister.eu/","citations":[],"identifier":2271,"description":"The EU Clinical Trials Register contains information on interventional clinical trials on medicines conducted in the European Union (EU), or the European Economic Area (EEA) which started after 1 May 2004.","abbreviation":"EUCTR","data_curation":{"url":"https://www.clinicaltrialsregister.eu/dataquality.html","type":"automated"},"support_links":[{"url":"euctr@ema.europa.eu","type":"Support email"},{"url":"https://www.clinicaltrialsregister.eu/doc/EU_CTR_FAQ.pdf","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.clinicaltrialsregister.eu/doc/How_to_Search_EU_CTR.pdf","type":"Help documentation"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013302","name":"re3data:r3d100013302","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000745","bsg-d000745"],"name":"FAIRsharing record for: EU Clinical Trial Register","abbreviation":"EUCTR","url":"https://fairsharing.org/10.25504/FAIRsharing.566n8c","doi":"10.25504/FAIRsharing.566n8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EU Clinical Trials Register contains information on interventional clinical trials on medicines conducted in the European Union (EU), or the European Economic Area (EEA) which started after 1 May 2004.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12324},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12744}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Biomedical Science","Epidemiology","Preclinical Studies","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"European Medicines Agency Legal Notice","licence_id":302,"licence_url":"http://www.ema.europa.eu/ema/index.jsp?curl=pages/regulation/general/general_content_000178.jsp","link_id":1370,"relation":"undefined"}],"grants":[{"id":2192,"fairsharing_record_id":2271,"organisation_id":939,"relation":"maintains","created_at":"2021-09-30T09:25:35.234Z","updated_at":"2021-09-30T09:25:35.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":939,"name":"European Medicines Agency, London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2281","type":"fairsharing_records","attributes":{"created_at":"2016-04-15T11:12:20.000Z","updated_at":"2024-03-27T22:29:01.845Z","metadata":{"doi":"10.25504/FAIRsharing.szs7pn","name":"MetaNetX","status":"ready","contacts":[{"contact_name":"Sebastien Moretti","contact_email":"help@metanetx.org","contact_orcid":"0000-0003-3947-488X"}],"homepage":"https://www.metanetx.org/","citations":[],"identifier":2281,"description":"MetaNetX/MNXref is a database for reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. The tools developed at MetaNetX are useful for accessing, analysing and manipulating metabolic networks. MetaNetX goal is to automate model construction and genome annotation for large-scale metabolic networks.","abbreviation":"MNXref","data_curation":{"type":"not found"},"support_links":[{"url":"help@metanetx.org","type":"Support email"},{"url":"https://metanetx.org/mnxdoc/mnxref.html","type":"Help documentation"},{"url":"https://twitter.com/MetaNetX_org","name":"@MetaNetX_org","type":"Twitter"},{"url":"https://www.metanetx.org/mnxdoc/help.html","name":"Getting started","type":"Help documentation"},{"url":"https://www.metanetx.org/mnxdoc/short-tutorial.html","name":"Short tutorial ","type":"Help documentation"},{"url":"https://www.metanetx.org/mnxdoc/mnet-spec.html","name":"Model internal specification","type":"Help documentation"}],"year_creation":2010,"data_versioning":"yes","data_access_condition":{"url":"https://www.metanetx.org/mnxdoc/help.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.metanetx.org/mnxdoc/help.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000755","bsg-d000755"],"name":"FAIRsharing record for: MetaNetX","abbreviation":"MNXref","url":"https://fairsharing.org/10.25504/FAIRsharing.szs7pn","doi":"10.25504/FAIRsharing.szs7pn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MetaNetX/MNXref is a database for reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. The tools developed at MetaNetX are useful for accessing, analysing and manipulating metabolic networks. MetaNetX goal is to automate model construction and genome annotation for large-scale metabolic networks.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11781},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19553}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cheminformatics","Biochemistry","Systems Biology"],"domains":["Network model","Molecular interaction"],"taxonomies":["Animalia","Archaea","Bacteria","Fungi","Plantae"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":411,"pubmed_id":23357920,"title":"MetaNetX.org: a website and repository for accessing, analysing and manipulating metabolic networks.","year":2013,"url":"http://doi.org/10.1093/bioinformatics/btt036","authors":"Ganter M,Bernard T,Moretti S,Stelling J,Pagni M","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btt036","created_at":"2021-09-30T08:23:04.666Z","updated_at":"2021-09-30T08:23:04.666Z"},{"id":628,"pubmed_id":33156326,"title":"MetaNetX/MNXref: unified namespace for metabolites and biochemical reactions in the context of metabolic models.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa992","authors":"Moretti S,Tran VDT,Mehl F,Ibberson M,Pagni M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa992","created_at":"2021-09-30T08:23:29.030Z","updated_at":"2021-09-30T11:28:48.517Z"},{"id":1109,"pubmed_id":26527720,"title":"MetaNetX/MNXref - reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1117","authors":"Moretti S,Martin O,Van Du Tran T,Bridge A,Morgat A,Pagni M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1117","created_at":"2021-09-30T08:24:22.904Z","updated_at":"2021-09-30T11:28:59.060Z"},{"id":1110,"pubmed_id":23172809,"title":"Reconciliation of metabolites and biochemical reactions for metabolic networks.","year":2012,"url":"http://doi.org/10.1093/bib/bbs058","authors":"Bernard T,Bridge A,Morgat A,Moretti S,Xenarios I,Pagni M","journal":"Brief Bioinform","doi":"10.1093/bib/bbs058","created_at":"2021-09-30T08:24:22.997Z","updated_at":"2021-09-30T08:24:22.997Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1646,"relation":"undefined"}],"grants":[{"id":2209,"fairsharing_record_id":2281,"organisation_id":2839,"relation":"funds","created_at":"2021-09-30T09:25:35.862Z","updated_at":"2021-09-30T09:25:35.862Z","grant_id":null,"is_lead":false,"saved_state":{"id":2839,"name":"The Swiss Initiative in Systems Biology (SystemsX.ch), Zurich, Switzerland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2208,"fairsharing_record_id":2281,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:35.820Z","updated_at":"2021-09-30T09:25:35.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2282","type":"fairsharing_records","attributes":{"created_at":"2016-04-15T14:55:24.000Z","updated_at":"2023-12-15T10:32:01.887Z","metadata":{"doi":"10.25504/FAIRsharing.r18yt0","name":"data.eNanoMapper.net","status":"ready","contacts":[{"contact_name":"Jiakang Chang","contact_email":"jkchang@ebi.ac.uk","contact_orcid":"0000-0003-2157-0398"}],"homepage":"https://data.enanomapper.net/","identifier":2282,"description":"data.eNanoMapper.net is a public database hosting nanomaterials characterization data and biological and toxicological information. The database provides various possibilities to search and explore information, and to download data in various standard formats. The database supports data upload through configurable Excel templates.","abbreviation":"data.eNanoMapper.net","data_curation":{"url":"https://enanomapper.adma.ai/help/#dataentry","type":"manual/automated"},"support_links":[{"url":"support@ideaconsult.net","type":"Support email"},{"url":"https://tess.elixir-europe.org/materials/entering-and-analysing-nano-safety-data","name":"Entering and analysing nano safety data","type":"Help documentation"},{"url":"http://ambit.sourceforge.net/usage.html","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/entering-and-analysing-nano-safety-data","name":"Entering and analysing nano safety data","type":"TeSS links to training materials"}],"year_creation":2014,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013052","name":"re3data:r3d100013052","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://enanomapper.adma.ai/help/#dataentry","type":"open","notes":"Free login is required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000756","bsg-d000756"],"name":"FAIRsharing record for: data.eNanoMapper.net","abbreviation":"data.eNanoMapper.net","url":"https://fairsharing.org/10.25504/FAIRsharing.r18yt0","doi":"10.25504/FAIRsharing.r18yt0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: data.eNanoMapper.net is a public database hosting nanomaterials characterization data and biological and toxicological information. The database provides various possibilities to search and explore information, and to download data in various standard formats. The database supports data upload through configurable Excel templates.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10862},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11782}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Chemistry"],"domains":["Chemical entity","Nanoparticle"],"taxonomies":["Not applicable"],"user_defined_tags":["Nanosafety"],"countries":["European Union"],"publications":[{"id":1008,"pubmed_id":21991315,"title":"The chemical information ontology: provenance and disambiguation for chemical data on the biological semantic web.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0025513","authors":"Hastings J,Chepelev L,Willighagen E,Adams N,Steinbeck C,Dumontier M","journal":"PLoS One","doi":"10.1371/journal.pone.0025513","created_at":"2021-09-30T08:24:11.621Z","updated_at":"2021-09-30T08:24:11.621Z"},{"id":1088,"pubmed_id":25815161,"title":"eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment.","year":2015,"url":"http://doi.org/10.1186/s13326-015-0005-5","authors":"Hastings J,Jeliazkova N,Owen G,Tsiliki G,Munteanu CR,Steinbeck C,Willighagen E","journal":"J Biomed Semantics","doi":"10.1186/s13326-015-0005-5","created_at":"2021-09-30T08:24:20.515Z","updated_at":"2021-09-30T08:24:20.515Z"},{"id":1103,"pubmed_id":26425413,"title":"The eNanoMapper database for nanomaterial safety information.","year":2015,"url":"http://doi.org/10.3762/bjnano.6.165","authors":"Jeliazkova N,Chomenidis C,Doganis P,Fadeel B,Grafstrom R,Hardy B,Hastings J,Hegi M,Jeliazkov V,Kochev N,Kohonen P,Munteanu CR,Sarimveis H,Smeets B,Sopasakis P,Tsiliki G,Vorgrimmler D,Willighagen E","journal":"Beilstein J Nanotechnol","doi":"10.3762/bjnano.6.165","created_at":"2021-09-30T08:24:22.165Z","updated_at":"2021-09-30T08:24:22.165Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":629,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":633,"relation":"undefined"}],"grants":[{"id":2210,"fairsharing_record_id":2282,"organisation_id":858,"relation":"maintains","created_at":"2021-09-30T09:25:35.900Z","updated_at":"2021-09-30T09:25:35.900Z","grant_id":null,"is_lead":false,"saved_state":{"id":858,"name":"eNanoMapper","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":9094,"fairsharing_record_id":2282,"organisation_id":913,"relation":"funds","created_at":"2022-04-07T13:20:36.010Z","updated_at":"2022-04-07T13:20:36.010Z","grant_id":197,"is_lead":false,"saved_state":{"id":913,"name":"European Commision","grant":"731032","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9095,"fairsharing_record_id":2282,"organisation_id":913,"relation":"funds","created_at":"2022-04-07T13:20:36.028Z","updated_at":"2022-04-07T13:20:36.028Z","grant_id":85,"is_lead":false,"saved_state":{"id":913,"name":"European Commision","grant":"604134","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2286","type":"fairsharing_records","attributes":{"created_at":"2016-04-20T11:55:17.000Z","updated_at":"2023-12-15T10:29:45.697Z","metadata":{"doi":"10.25504/FAIRsharing.6qr9jp","name":"e-Mouse Atlas of Gene Expression","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"emage@emouseatlas.org"}],"homepage":"https://www.emouseatlas.org/emage/home.php","citations":[{"doi":"10.1093/nar/gkt1155","pubmed_id":24265223,"publication_id":1108}],"identifier":2286,"description":"The e-Mouse Atlas of Gene Expression (EMAGE) is a freely available database of in situ gene expression patterns that allows users to perform online queries of mouse developmental gene expression. EMAGE is unique in providing both text-based descriptions of gene expression plus spatial maps of gene expression patterns. This mapping allows spatial queries to be accomplished alongside more traditional text-based queries.","abbreviation":"EMAGE","data_curation":{"url":"https://www.emouseatlas.org/emage/about/data_curation.php","type":"manual/automated"},"support_links":[{"url":"https://www.emouseatlas.org/emage/help/contact.php","name":"Contact Information","type":"Contact form"},{"url":"https://www.emouseatlas.org/emage/help/faqs.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.emouseatlas.org/emage/help/all_help.php","name":"All Help Pages","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010564","name":"re3data:r3d100010564","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005391","name":"SciCrunch:RRID:SCR_005391","portal":"SciCrunch"}],"deprecation_date":"2023-09-22","deprecation_reason":"The resource homepage is no longer valid, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.emouseatlas.org/emap/news/news.html","name":"This Mouse Atlas resource has been unfunded for 5 years and maintained in \"as-is\" state by the Human Genetics Unit. That support is being withdrawn and the machines decommisioned in September 2023."},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.emouseatlas.org/emage/help/faqs.php#curation","type":"controlled","notes":"Data is entered into EMAGE primarily by full-time EMAGE curators who make entries based on information supplied by the data submitter."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000760","bsg-d000760"],"name":"FAIRsharing record for: e-Mouse Atlas of Gene Expression","abbreviation":"EMAGE","url":"https://fairsharing.org/10.25504/FAIRsharing.6qr9jp","doi":"10.25504/FAIRsharing.6qr9jp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The e-Mouse Atlas of Gene Expression (EMAGE) is a freely available database of in situ gene expression patterns that allows users to perform online queries of mouse developmental gene expression. EMAGE is unique in providing both text-based descriptions of gene expression plus spatial maps of gene expression patterns. This mapping allows spatial queries to be accomplished alongside more traditional text-based queries.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Developmental Biology","Transcriptomics"],"domains":["Expression data","Model organism","Gene expression","In situ hybridization","Immunohistochemistry","Life cycle stage"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1108,"pubmed_id":24265223,"title":"EMAGE mouse embryo spatial gene expression database: 2014 update.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1155","authors":"Richardson L,Venkataraman S,Stevenson P,Yang Y,Moss J,Graham L,Burton N,Hill B,Rao J,Baldock RA,Armit C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1155","created_at":"2021-09-30T08:24:22.755Z","updated_at":"2021-09-30T11:28:58.918Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1639,"relation":"undefined"}],"grants":[{"id":2220,"fairsharing_record_id":2286,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:36.246Z","updated_at":"2021-09-30T09:25:36.246Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2218,"fairsharing_record_id":2286,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:36.173Z","updated_at":"2021-09-30T09:25:36.173Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2219,"fairsharing_record_id":2286,"organisation_id":1903,"relation":"maintains","created_at":"2021-09-30T09:25:36.204Z","updated_at":"2021-09-30T09:25:36.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":1903,"name":"MRC Institute of Genetics \u0026 Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa0FCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0957b4625818ad980223e511f02f2ecf85aa04f5/emage_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2287","type":"fairsharing_records","attributes":{"created_at":"2016-04-20T19:58:57.000Z","updated_at":"2023-12-15T10:33:15.797Z","metadata":{"doi":"10.25504/FAIRsharing.9qkaz9","name":"Online Mendelian Inheritance in Man","status":"ready","contacts":[],"homepage":"https://omim.org/","citations":[],"identifier":2287,"description":"Online Mendelian Inheritance in Man (OMIM) is a comprehensive, authoritative compendium of human genes and genetic phenotypes that is freely available and updated daily. The full-text, referenced overviews in OMIM contain information on all known mendelian disorders and over 15,000 genes. OMIM focuses on the relationship between phenotype and genotype.","abbreviation":"OMIM","data_curation":{"url":"https://www.omim.org/help/faq","type":"manual/automated","notes":"see also: https://blog.goldenhelix.com/curating-omim/"},"support_links":[{"url":"https://omim.org/contact","name":"Contact Form","type":"Contact form"},{"url":"https://omim.org/help/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://omim.org/help/search","name":"Search Help","type":"Help documentation"},{"url":"https://omim.org/help/linking","name":"Linking Help","type":"Help documentation"},{"url":"https://omim.org/help/api","name":"API Documentation","type":"Help documentation"}],"year_creation":1966,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010416","name":"re3data:r3d100010416","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006437","name":"SciCrunch:RRID:SCR_006437","portal":"SciCrunch"}],"data_access_condition":{"url":"https://omim.org/about","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000761","bsg-d000761"],"name":"FAIRsharing record for: Online Mendelian Inheritance in Man","abbreviation":"OMIM","url":"https://fairsharing.org/10.25504/FAIRsharing.9qkaz9","doi":"10.25504/FAIRsharing.9qkaz9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Online Mendelian Inheritance in Man (OMIM) is a comprehensive, authoritative compendium of human genes and genetic phenotypes that is freely available and updated daily. The full-text, referenced overviews in OMIM contain information on all known mendelian disorders and over 15,000 genes. OMIM focuses on the relationship between phenotype and genotype.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12254}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Human Genetics"],"domains":["Phenotype","Disease","Gene","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2244,"pubmed_id":30445645,"title":"OMIM.org: leveraging knowledge across phenotype-gene relationships.","year":2018,"url":"http://doi.org/10.1093/nar/gky1151","authors":"Amberger JS,Bocchini CA,Scott AF,Hamosh A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1151","created_at":"2021-09-30T08:26:32.988Z","updated_at":"2021-09-30T11:29:31.478Z"},{"id":3870,"pubmed_id":null,"title":"(2021). Online Mendelian inheritance in man (OMIM®): victor McKusick's magnum opus. , 185(11), 3259-3265.","year":2021,"url":"https://onlinelibrary.wiley.com/doi/full/10.1002/ajmg.a.62407","authors":"Hamosh, A., Amberger, J. S., Bocchini, C., Scott, A. F., \u0026 Rasmussen, S. A.","journal":"American Journal of Medical Genetics Part A","doi":"","created_at":"2023-05-22T10:23:01.780Z","updated_at":"2023-05-22T10:23:01.780Z"},{"id":3871,"pubmed_id":null,"title":"Searching online mendelian inheritance in man (OMIM): a knowledgebase of human genes and genetic phenotypes.","year":2017,"url":"https://currentprotocols.onlinelibrary.wiley.com/doi/full/10.1002/cpbi.27","authors":"Amberger, J. S., \u0026 Hamosh, A.","journal":"Current protocols in bioinformatics, 58(1), 1-2.","doi":"","created_at":"2023-05-22T10:36:02.854Z","updated_at":"2023-05-22T10:36:02.854Z"}],"licence_links":[{"licence_name":"OMIM Copyright","licence_id":617,"licence_url":"https://omim.org/help/copyright","link_id":734,"relation":"undefined"}],"grants":[{"id":2222,"fairsharing_record_id":2287,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:36.317Z","updated_at":"2021-09-30T09:29:16.661Z","grant_id":172,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NHGRI 1U41HG006627","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2221,"fairsharing_record_id":2287,"organisation_id":1804,"relation":"maintains","created_at":"2021-09-30T09:25:36.283Z","updated_at":"2021-09-30T09:25:36.283Z","grant_id":null,"is_lead":true,"saved_state":{"id":1804,"name":"McKusick-Nathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2388","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T09:08:42.000Z","updated_at":"2024-05-02T07:22:46.129Z","metadata":{"doi":"10.25504/FAIRsharing.nn9r0d","name":"IDSM","status":"ready","contacts":[{"contact_name":"Jakub Galgonek","contact_email":"jakub.galgonek@uochb.cas.cz","contact_orcid":null}],"homepage":"https://idsm.elixir-czech.cz/","citations":[],"identifier":2388,"description":"IDSM is an integrated database of small molecules.","abbreviation":"IDSM","data_curation":{"url":"https://elixir-europe.org/platforms/data","type":"manual/automated"},"support_links":[{"url":"https://idsm.elixir-czech.cz/sparql/doc/manual.html","name":"User Manual","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000869","bsg-d000869"],"name":"FAIRsharing record for: IDSM","abbreviation":"IDSM","url":"https://fairsharing.org/10.25504/FAIRsharing.nn9r0d","doi":"10.25504/FAIRsharing.nn9r0d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IDSM is an integrated database of small molecules.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11396},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12184}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Small molecule"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[{"id":4237,"pubmed_id":29797000,"title":"Sachem: a chemical cartridge for high-performance substructure search","year":2018,"url":"http://dx.doi.org/10.1186/s13321-018-0282-y","authors":"Kratochvíl, Miroslav; Vondrášek, Jiří; Galgonek, Jakub; ","journal":"J Cheminform","doi":"10.1186/s13321-018-0282-y","created_at":"2024-04-05T07:58:03.513Z","updated_at":"2024-04-05T07:58:03.513Z"},{"id":4238,"pubmed_id":31254167,"title":"Interoperable chemical structure search service","year":2019,"url":"http://dx.doi.org/10.1186/s13321-019-0367-2","authors":"Kratochvíl, Miroslav; Vondrášek, Jiří; Galgonek, Jakub; ","journal":"J Cheminform","doi":"10.1186/s13321-019-0367-2","created_at":"2024-04-05T08:00:39.285Z","updated_at":"2024-04-05T08:00:39.285Z"},{"id":4239,"pubmed_id":33980298,"title":"IDSM ChemWebRDF: SPARQLing small-molecule datasets","year":2021,"url":"http://dx.doi.org/10.1186/s13321-021-00515-1","authors":"Galgonek, Jakub; Vondrášek, Jiří; ","journal":"J Cheminform","doi":"10.1186/s13321-021-00515-1","created_at":"2024-04-05T08:01:44.722Z","updated_at":"2024-04-05T08:01:44.722Z"}],"licence_links":[],"grants":[{"id":11692,"fairsharing_record_id":2388,"organisation_id":1434,"relation":"maintains","created_at":"2024-04-05T07:54:36.912Z","updated_at":"2024-04-05T08:07:10.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":1434,"name":"Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences (IOCB), Prague, Czech Republic","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11693,"fairsharing_record_id":2388,"organisation_id":840,"relation":"maintains","created_at":"2024-04-05T08:07:10.857Z","updated_at":"2024-04-05T08:07:10.857Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2389","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T10:49:36.000Z","updated_at":"2023-12-15T10:32:51.212Z","metadata":{"doi":"10.25504/FAIRsharing.c7w81a","name":"LiceBase","status":"ready","contacts":[{"contact_name":"Inge Jonassen","contact_email":"Inge.Jonassen@uib.no","contact_orcid":"0000-0003-4110-0748"},{"contact_name":"Michael Dondrup","contact_email":"admin@licebase.org","contact_orcid":"0000-0002-2371-5928"}],"homepage":"https://licebase.org/","citations":[],"identifier":2389,"description":"LiceBase is a genomics database for sea lice (Lepeophtheirus salmonis and Caligus spp.), which are major pathogens affecting the global salmon farming industry. The database is designed to help researchers, industry professionals, and other interested parties access and share information about these parasites, with the goal of developing new treatment methods and tools to ensure a sustainable salmon farming industry. LiceBase provides genome annotation reports, genome browsing, RNA interference (RNAi) experiment browsing, BLAST search, and in-situ images. The database homepage posts news updates and recent publications related to sea lice and salmonid species.","abbreviation":null,"data_curation":{"type":"none"},"support_links":[{"url":"https://licebase.org/?q=node/760957","type":"Frequently Asked Questions (FAQs)"},{"url":"https://licebase.org/privacy_policy","name":"Privacy policy","type":"Other"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013547","name":"re3data:r3d100013547","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000870","bsg-d000870"],"name":"FAIRsharing record for: LiceBase","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.c7w81a","doi":"10.25504/FAIRsharing.c7w81a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LiceBase is a genomics database for sea lice (Lepeophtheirus salmonis and Caligus spp.), which are major pathogens affecting the global salmon farming industry. The database is designed to help researchers, industry professionals, and other interested parties access and share information about these parasites, with the goal of developing new treatment methods and tools to ensure a sustainable salmon farming industry. LiceBase provides genome annotation reports, genome browsing, RNA interference (RNAi) experiment browsing, BLAST search, and in-situ images. The database homepage posts news updates and recent publications related to sea lice and salmonid species.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11397},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12185}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Fisheries Science","Marine Biology","Aquaculture","Parasitology"],"domains":["Genome annotation","Marine environment","Imaging","Gene expression","RNA interference","Parasite","RNA sequencing","Genome"],"taxonomies":["Anopheles gambiae","Drosophila melanogaster","Gadus morhua","Lepeophtheirus salmonis"],"user_defined_tags":["tigriopus kingsejongensis","calanus sinicus","caligus spp.","copepod"],"countries":["Norway"],"publications":[{"id":3968,"pubmed_id":null,"title":"The salmon louse genome: Copepod features and parasitic adaptations","year":2021,"url":"http://dx.doi.org/10.1016/j.ygeno.2021.08.002","authors":"Skern-Mauritzen, Rasmus; Malde, Ketil; Eichner, Christiane; Dondrup, Michael; Furmanek, Tomasz; Besnier, Francois; Komisarczuk, Anna Zofia; Nuhn, Michael; Dalvin, Sussie; Edvardsen, Rolf B.; Klages, Sven; Huettel, Bruno; Stueber, Kurt; Grotmol, Sindre; Karlsbakk, Egil; Kersey, Paul; Leong, Jong S.; Glover, Kevin A.; Reinhardt, Richard; Lien, Sigbjørn; Jonassen, Inge; Koop, Ben F.; Nilsen, Frank; ","journal":"Genomics","doi":"10.1016/j.ygeno.2021.08.002","created_at":"2023-08-04T11:10:19.846Z","updated_at":"2023-08-04T11:10:19.846Z"}],"licence_links":[{"licence_name":"Phibase Data Policies and Disclaimer","licence_id":662,"licence_url":"http://www.phi-base.org/disclaimer.htm","link_id":564,"relation":"undefined"}],"grants":[{"id":2446,"fairsharing_record_id":2389,"organisation_id":2535,"relation":"maintains","created_at":"2021-09-30T09:25:44.119Z","updated_at":"2023-08-04T12:07:08.705Z","grant_id":null,"is_lead":true,"saved_state":{"id":2535,"name":"Sea Lice Research Centre, Bergen, Norway","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10802,"fairsharing_record_id":2389,"organisation_id":846,"relation":"collaborates_on","created_at":"2023-08-04T12:07:08.406Z","updated_at":"2023-08-04T12:07:08.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":10803,"fairsharing_record_id":2389,"organisation_id":2823,"relation":"funds","created_at":"2023-08-04T12:07:08.443Z","updated_at":"2023-08-04T12:07:08.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10805,"fairsharing_record_id":2389,"organisation_id":1421,"relation":"funds","created_at":"2023-08-04T12:07:08.479Z","updated_at":"2023-08-04T12:07:08.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":1421,"name":"Institute Of Marine Research, Bergen, Norway","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":10806,"fairsharing_record_id":2389,"organisation_id":2192,"relation":"funds","created_at":"2023-08-04T12:07:08.516Z","updated_at":"2023-08-04T12:07:08.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":2192,"name":"Norwegian University of Life Sciences","types":["University"],"is_lead":false,"relation":"funds"}},{"id":10807,"fairsharing_record_id":2389,"organisation_id":4076,"relation":"funds","created_at":"2023-08-04T12:07:08.555Z","updated_at":"2023-08-04T12:07:08.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":4076,"name":"Elanco (United States)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10808,"fairsharing_record_id":2389,"organisation_id":4077,"relation":"funds","created_at":"2023-08-04T12:07:08.595Z","updated_at":"2023-08-04T12:07:08.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":4077,"name":"Ewos Innovation (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10809,"fairsharing_record_id":2389,"organisation_id":4079,"relation":"funds","created_at":"2023-08-04T12:07:08.632Z","updated_at":"2023-08-04T12:07:08.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":4079,"name":"Mowi (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10810,"fairsharing_record_id":2389,"organisation_id":4080,"relation":"funds","created_at":"2023-08-04T12:07:08.669Z","updated_at":"2023-08-04T12:07:08.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":4080,"name":"Lerøy (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10811,"fairsharing_record_id":2389,"organisation_id":4078,"relation":"funds","created_at":"2023-08-04T12:07:08.683Z","updated_at":"2023-08-04T12:07:08.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":4078,"name":"PatoGen (Norway)","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":10868,"fairsharing_record_id":2389,"organisation_id":2995,"relation":"funds","created_at":"2023-09-18T14:14:33.778Z","updated_at":"2023-09-18T14:14:33.778Z","grant_id":null,"is_lead":false,"saved_state":{"id":2995,"name":"Universitetet i Bergen, Bergen, Norway","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdGdDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--74f6d31db002f40d948d76fbd6054eb8e566e96b/slrc.png?disposition=inline","exhaustive_licences":false}},{"id":"2390","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T11:46:55.000Z","updated_at":"2023-12-15T10:33:04.294Z","metadata":{"doi":"10.25504/FAIRsharing.3t5qc3","name":"Microbial Genome Annotation \u0026 Analysis Platform","status":"ready","contacts":[{"contact_name":"Claudine Médigue","contact_email":"cmedigue@genoscope.cns.fr"}],"homepage":"http://www.genoscope.cns.fr/agc/microscope/home/","citations":[],"identifier":2390,"description":"MicroScope is a web-based platform for microbial comparative genome analysis and manual functional annotation. Its relational database schema stores precalculated results of syntactic and functional annotation pipelines as well as Pathway Tools and metabolic analysis specific to each genome.","abbreviation":"MicroScope","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genoscope.cns.fr/agc/microscope/about/contact.php?\u0026wwwpkgdb=8ec24c15145b8f4e86bd2473d359a5f3","type":"Contact form"},{"url":"https://microscope.readthedocs.io/en/latest/","type":"Help documentation"},{"url":"https://www.genoscope.cns.fr/agc/website/spip.php?page=forma_dates\u0026lang=en","type":"Training documentation"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"http://www.genoscope.cns.fr/agc/microscope/search/blast.php?","name":"blast"},{"url":"http://www.genoscope.cns.fr/agc/microscope/genomic/cgview.php?part=all","name":"Circular Genome Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012928","name":"re3data:r3d100012928","portal":"re3data"}],"data_access_condition":{"url":"https://mage.genoscope.cns.fr/microscope/search/keywords.php?\u0026wwwpkgdb=0eb8133d3f9276236454c607f7ee7492","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://mage.genoscope.cns.fr/microscope/about/services.php?","type":"controlled","notes":"According to the specifications concerning each project."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000871","bsg-d000871"],"name":"FAIRsharing record for: Microbial Genome Annotation \u0026 Analysis Platform","abbreviation":"MicroScope","url":"https://fairsharing.org/10.25504/FAIRsharing.3t5qc3","doi":"10.25504/FAIRsharing.3t5qc3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MicroScope is a web-based platform for microbial comparative genome analysis and manual functional annotation. Its relational database schema stores precalculated results of syntactic and functional annotation pipelines as well as Pathway Tools and metabolic analysis specific to each genome.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11398},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12186},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12770}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science","Comparative Genomics"],"domains":["Annotation","Genome annotation","Gene functional annotation","Molecular interaction"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2033,"pubmed_id":23193269,"title":"MicroScope--an integrated microbial resource for the curation and comparative analysis of genomic and metabolic data.","year":2012,"url":"http://doi.org/10.1093/nar/gks1194","authors":"Vallenet D,Belda E,Calteau A,Cruveiller S,Engelen S,Lajus A,Le Fevre F,Longin C,Mornico D,Roche D,Rouy Z,Salvignol G,Scarpelli C,Thil Smith AA,Weiman M,Medigue C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1194","created_at":"2021-09-30T08:26:08.954Z","updated_at":"2021-09-30T11:29:26.596Z"}],"licence_links":[],"grants":[{"id":2448,"fairsharing_record_id":2390,"organisation_id":1349,"relation":"funds","created_at":"2021-09-30T09:25:44.198Z","updated_at":"2021-09-30T09:25:44.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1349,"name":"Infrastructures en Biologie Sante et Agronomie (GIS IBiSA), France","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2450,"fairsharing_record_id":2390,"organisation_id":1059,"relation":"funds","created_at":"2021-09-30T09:25:44.254Z","updated_at":"2021-09-30T09:30:33.707Z","grant_id":765,"is_lead":false,"saved_state":{"id":1059,"name":"French Ministry of Education, Research and Innovation, France","grant":"ANR PFTV 2007","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2449,"fairsharing_record_id":2390,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:44.230Z","updated_at":"2021-09-30T09:30:42.431Z","grant_id":831,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"222886-2","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2447,"fairsharing_record_id":2390,"organisation_id":1662,"relation":"maintains","created_at":"2021-09-30T09:25:44.160Z","updated_at":"2021-09-30T09:25:44.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1662,"name":"Laboratoire d'Analyses Bioinformatiques pour la Genomique et le Metabolisme (LABGeM), Evry, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2392","type":"fairsharing_records","attributes":{"created_at":"2017-03-14T14:21:32.000Z","updated_at":"2023-12-15T10:30:39.880Z","metadata":{"doi":"10.25504/FAIRsharing.1z88ee","name":"BCCM/ULC Cyanobacteria Collection","status":"ready","contacts":[{"contact_name":"BCCM/ULC","contact_email":"BCCM.ULC@ulg.ac.be"}],"homepage":"http://bccm.belspo.be/about-us/bccm-ulc","identifier":2392,"description":"BCCM/ULC is a small and dedicated public collection, currently containing one of the largest collections of documented (sub)polar cyanobacteria worldwide. The BCCM/ULC collection is hosted by the Centre for Protein Engineering (the Unit) of the University of Liège. The host Unit is very active in research projects concerning the cyanobacterial diversity and biogeography, with a focus on polar biotopes. The approach used is polyphasic, including the isolation of strains and culture-independent methods (DGGE, clone libraries, pyrosequencing based on the ribosomal operon sequences). The participation to field expeditions in the Antarctic and Arctic has enabled to collect samples in many locations. Moreover, taxonomic research is carried out by the host Unit to improve the classification of the cyanobacterial phylum. It is based on a polyphasic approach combining the morphological and molecular characterizations of the strains.","abbreviation":"BCCM/ULC","data_curation":{"type":"manual"},"support_links":[{"url":"http://bccm.belspo.be/news","name":"News","type":"Blog/News"},{"url":"http://bccm.belspo.be/webform/contact-us","type":"Contact form"},{"url":"http://bccm.belspo.be/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://bccm.belspo.be/webform/subscribe-bccm-newsletter","name":"Newsletter","type":"Help documentation"},{"url":"http://bccm.belspo.be/didyouknow","name":"Videos","type":"Help documentation"},{"url":"http://bccm.belspo.be/labinstructions","name":"Lab instruction videos","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013779","name":"re3data:r3d100013779","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000873","bsg-d000873"],"name":"FAIRsharing record for: BCCM/ULC Cyanobacteria Collection","abbreviation":"BCCM/ULC","url":"https://fairsharing.org/10.25504/FAIRsharing.1z88ee","doi":"10.25504/FAIRsharing.1z88ee","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BCCM/ULC is a small and dedicated public collection, currently containing one of the largest collections of documented (sub)polar cyanobacteria worldwide. The BCCM/ULC collection is hosted by the Centre for Protein Engineering (the Unit) of the University of Liège. The host Unit is very active in research projects concerning the cyanobacterial diversity and biogeography, with a focus on polar biotopes. The approach used is polyphasic, including the isolation of strains and culture-independent methods (DGGE, clone libraries, pyrosequencing based on the ribosomal operon sequences). The participation to field expeditions in the Antarctic and Arctic has enabled to collect samples in many locations. Moreover, taxonomic research is carried out by the host Unit to improve the classification of the cyanobacterial phylum. It is based on a polyphasic approach combining the morphological and molecular characterizations of the strains.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Classification","Morphology","16S rRNA"],"taxonomies":["Chroococcales","Cyanobacteria","Nostocales","Oscillatoriales"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1060,"pubmed_id":null,"title":"Plectolyngbya hodgsonii: a novel filamentous cyanobacterium from Antarctic lakes","year":2011,"url":"https://link.springer.com/article/10.1007/s00300-010-0868-y","authors":"Taton, A, Wilmotte, A, Smarda, J, Elster, J, \u0026 Komarek, J.","journal":"Polar Biology","doi":null,"created_at":"2021-09-30T08:24:17.389Z","updated_at":"2021-09-30T11:28:31.612Z"},{"id":1061,"pubmed_id":null,"title":"The limnology and biology of the Dufek Massif, Transantarctic Mountains 82° South","year":2010,"url":"https://doi.org/10.1016/j.polar.2010.04.003","authors":"Hodgson, D. A, Convey, P, Verleyen, E, Vyverman, W, McInnes, S. J, Sands, C. J, Fernandez, R, Wilmotte, A, De Wever, A, Peeters, K, \u0026 Willems, A","journal":"Polar Science","doi":null,"created_at":"2021-09-30T08:24:17.489Z","updated_at":"2021-09-30T11:28:31.717Z"},{"id":2036,"pubmed_id":21592144,"title":"Low cyanobacterial diversity in biotopes of the Transantarctic Mountains and Shackleton Range (80-82 degrees S), Antarctica.","year":2011,"url":"http://doi.org/10.1111/j.1574-6941.2011.01132.x","authors":"Fernandez-Carazo R,Hodgson DA,Convey P,Wilmotte A","journal":"FEMS Microbiol Ecol","doi":"10.1111/j.1574-6941.2011.01132.x","created_at":"2021-09-30T08:26:09.256Z","updated_at":"2021-09-30T08:26:09.256Z"},{"id":2059,"pubmed_id":null,"title":"Late Holocene changes in cyanobacterial community structure in maritime Antarctic lakes","year":2013,"url":"https://link.springer.com/article/10.1007/s10933-013-9700-3","authors":"Fernandez-Carazo, R, Verleyen, E, Hodgson, D. A, Roberts, S. J, Waleron, K, Vyverman, W, \u0026 Wilmotte, A","journal":"Journal of Paleolimnology","doi":null,"created_at":"2021-09-30T08:26:12.032Z","updated_at":"2021-09-30T11:28:34.063Z"},{"id":2060,"pubmed_id":null,"title":"Cyanobacterial diversity for an anthropogenic impact assessment in the Sor Rondane Mountains area, Antarctica","year":2012,"url":"https://www.cambridge.org/core/journals/antarctic-science/article/abs/cyanobacterial-diversity-for-an-anthropogenic-impact-assessment-in-the-sor-rondane-mountains-area-antarctica/FBBAD63E961078C7251C30766F73ABAF","authors":"Fernandez-Carazo, R, Namsaraev, Z, Mano, M.-J, Ertz, D, \u0026 Wilmotte, A.","journal":"Antarctic Science","doi":null,"created_at":"2021-09-30T08:26:12.132Z","updated_at":"2021-09-30T11:28:34.163Z"},{"id":2670,"pubmed_id":null,"title":"Evidence for widespread endemism among Antarctic micro-organisms","year":2010,"url":"https://doi.org/10.1016/j.polar.2010.03.006","authors":"Vyverman, W, Verleyen, E, Wilmotte, A, Hodgson, D. A, Willems, A, Peeters, K, Van De Vijver, B, De Wever, A, Leliaert, F, \u0026 Sabbe, K","journal":"Polar Science","doi":null,"created_at":"2021-09-30T08:27:27.845Z","updated_at":"2021-09-30T11:28:37.129Z"},{"id":2671,"pubmed_id":null,"title":"Biogeography of terrestrial cyanobacteria from Antarctic ice-free areas","year":2010,"url":"https://doi.org/10.3189/172756411795931930","authors":"Namsaraev, Z, Mano, M.-J, Fernandez Carazo, R, \u0026 Wilmotte, A","journal":"Annals of Glaciology","doi":null,"created_at":"2021-09-30T08:27:27.954Z","updated_at":"2021-09-30T11:28:37.278Z"},{"id":2674,"pubmed_id":null,"title":"Structuring effects of climate-related environmental factors on Antarctic microbial mat communities","year":2010,"url":"http://hdl.handle.net/2268/33815","authors":"Verleyen, E, Sabbe, K, Hodgson, D. A, Grubisic, S, Taton, A, Cousin, S, Wilmotte, A, De Wever, A, Van Der Gucht, K, \u0026 Vyverman, W","journal":"Aquatic Microbial Ecology","doi":null,"created_at":"2021-09-30T08:27:28.320Z","updated_at":"2021-09-30T11:28:37.378Z"}],"licence_links":[{"licence_name":"BCCM Material Transfer Agreement (MTA) 1.4","licence_id":62,"licence_url":"http://bccm.belspo.be/services/mta","link_id":898,"relation":"undefined"},{"licence_name":"BCCM website legal notice","licence_id":63,"licence_url":"http://bccm.belspo.be/legal/disclaimer","link_id":864,"relation":"undefined"}],"grants":[{"id":2455,"fairsharing_record_id":2392,"organisation_id":3081,"relation":"funds","created_at":"2021-09-30T09:25:44.424Z","updated_at":"2021-09-30T09:25:44.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":3081,"name":"University of Liege, Belgium","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2454,"fairsharing_record_id":2392,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:44.396Z","updated_at":"2021-09-30T09:25:44.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2456,"fairsharing_record_id":2392,"organisation_id":467,"relation":"maintains","created_at":"2021-09-30T09:25:44.460Z","updated_at":"2021-09-30T09:25:44.460Z","grant_id":null,"is_lead":false,"saved_state":{"id":467,"name":"Centre for Protein Engineering (CIP), University of Liege, Liege, Belgium","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2382","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T10:55:28.000Z","updated_at":"2023-06-22T17:51:30.815Z","metadata":{"doi":"10.25504/FAIRsharing.dq34p2","name":"Continuously Automated Model Evaluation","status":"ready","contacts":[{"contact_name":"Torsten Schwede","contact_email":"torsten.schwede@unibas.ch","contact_orcid":"0000-0003-2715-335X"}],"homepage":"http://cameo3d.org/","citations":[],"identifier":2382,"description":"Continuous automated benchmarking of computational protein structure prediction methods (and model quality estimation techniques). CAMEO assessment is based on blind predictions for weekly pre-released targets from PDB. Benchmarking results are made available as reference data for methods development.","abbreviation":"CAMEO","data_curation":{"url":"https://onlinelibrary.wiley.com/doi/10.1002/prot.26213","type":"automated","notes":"Automatic predictions for protein-protein complexes, for proteins in complex with ligands, peptides, nucleic acids, and proteins containing non-canonical amino acid residues"},"support_links":[{"url":"http://cameo3d.org/cameong_faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cameo3d.org/cameong_help/","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://cameo3d.org/cameong_registration/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000862","bsg-d000862"],"name":"FAIRsharing record for: Continuously Automated Model Evaluation","abbreviation":"CAMEO","url":"https://fairsharing.org/10.25504/FAIRsharing.dq34p2","doi":"10.25504/FAIRsharing.dq34p2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Continuous automated benchmarking of computational protein structure prediction methods (and model quality estimation techniques). CAMEO assessment is based on blind predictions for weekly pre-released targets from PDB. Benchmarking results are made available as reference data for methods development.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11391},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12179},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12767}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Mathematical model","Protein structure","Experimental measurement","Computational biological predictions","Benchmarking","Crowdsourcing","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":1369,"pubmed_id":23624946,"title":"The Protein Model Portal--a comprehensive resource for protein structure and model information.","year":2013,"url":"http://doi.org/10.1093/database/bat031","authors":"Haas J,Roth S,Arnold K,Kiefer F,Schmidt T,Bordoli L,Schwede T","journal":"Database (Oxford)","doi":"10.1093/database/bat031","created_at":"2021-09-30T08:24:53.093Z","updated_at":"2021-09-30T08:24:53.093Z"}],"licence_links":[{"licence_name":"CAMEO Terms and Conditions of Use","licence_id":95,"licence_url":"http://cameo3d.org/cameong_terms/","link_id":154,"relation":"undefined"}],"grants":[{"id":2425,"fairsharing_record_id":2382,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:43.393Z","updated_at":"2021-09-30T09:32:08.746Z","grant_id":1489,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"U01 GM093324-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2424,"fairsharing_record_id":2382,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:43.363Z","updated_at":"2021-09-30T09:25:43.363Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2426,"fairsharing_record_id":2382,"organisation_id":284,"relation":"maintains","created_at":"2021-09-30T09:25:43.421Z","updated_at":"2021-09-30T09:25:43.421Z","grant_id":null,"is_lead":false,"saved_state":{"id":284,"name":"Biozentrum, University of Basel, Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2383","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T11:22:52.000Z","updated_at":"2023-12-15T10:31:18.926Z","metadata":{"doi":"10.25504/FAIRsharing.t1a232","name":"Sequencing Initiative Suomi","status":"ready","contacts":[{"contact_name":"Hannele Laivuori","contact_email":"hannele.laivuori@helsinki.fi","contact_orcid":"0000-0003-3212-7826"}],"homepage":"http://www.sisuproject.fi/","identifier":2383,"description":"The Sequencing Initiative Suomi (SISu) search engine offers a way to search for data on sequence variants in the Finnish population. It provides valuable summary data for researchers and clinicians as well as other researchers with an interest in genetics in Finland. With SISu, you can examine the attributes and appearance of different variants in Finnish cohorts and see their aggregate distribution in Finland visualized on a map. The SISu project is an international collaboration between multiple research groups aiming to build tools for genomic medicine.","abbreviation":"SISu","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.sisuproject.fi/contact","type":"Contact form"},{"url":"http://www.sisuproject.fi/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.sisuproject.fi/how-to-use","type":"Help documentation"},{"url":"http://www.sisuproject.fi/about","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000863","bsg-d000863"],"name":"FAIRsharing record for: Sequencing Initiative Suomi","abbreviation":"SISu","url":"https://fairsharing.org/10.25504/FAIRsharing.t1a232","doi":"10.25504/FAIRsharing.t1a232","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sequencing Initiative Suomi (SISu) search engine offers a way to search for data on sequence variants in the Finnish population. It provides valuable summary data for researchers and clinicians as well as other researchers with an interest in genetics in Finland. With SISu, you can examine the attributes and appearance of different variants in Finnish cohorts and see their aggregate distribution in Finland visualized on a map. The SISu project is an international collaboration between multiple research groups aiming to build tools for genomic medicine.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11392},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12180},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12768}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genomics","Biomedical Science","Epidemiology","Preclinical Studies"],"domains":["Genetic polymorphism","Sequencing","Disease","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Finland"],"publications":[{"id":2011,"pubmed_id":26030606,"title":"Targeted resequencing of the pericentromere of chromosome 2 linked to constitutional delay of growth and puberty.","year":2015,"url":"http://doi.org/10.1371/journal.pone.0128524","authors":"Cousminer DL,Leinonen JT,Sarin AP,Chheda H,Surakka I,Wehkalampi K,Ellonen P,Ripatti S,Dunkel L,Palotie A,Widen E","journal":"PLoS One","doi":"10.1371/journal.pone.0128524","created_at":"2021-09-30T08:26:06.574Z","updated_at":"2021-09-30T08:26:06.574Z"},{"id":2029,"pubmed_id":25078778,"title":"Distribution and medical impact of loss-of-function variants in the Finnish founder population.","year":2014,"url":"http://doi.org/10.1371/journal.pgen.1004494","authors":"Lim ET,Wurtz P,Havulinna AS,Palta P,Tukiainen T,Rehnstrom K,Esko T,Magi R,Inouye M,Lappalainen T,Chan Y,Salem RM,Lek M,Flannick J,Sim X,Manning A,Ladenvall C,Bumpstead S,Hamalainen E,Aalto K,Maksimow M,Salmi M,Blankenberg S,Ardissino D,Shah S,Horne B,McPherson R,Hovingh GK,Reilly MP,Watkins H,Goel A,Farrall M,Girelli D,Reiner AP,Stitziel NO,Kathiresan S,Gabriel S,Barrett JC,Lehtimaki T,Laakso M,Groop L,Kaprio J,Perola M,McCarthy MI,Boehnke M,Altshuler DM,Lindgren CM,Hirschhorn JN,Metspalu A,Freimer NB,Zeller T,Jalkanen S,Koskinen S,Raitakari O,Durbin R,MacArthur DG,Salomaa V,Ripatti S,Daly MJ,Palotie A","journal":"PLoS Genet","doi":"10.1371/journal.pgen.1004494","created_at":"2021-09-30T08:26:08.490Z","updated_at":"2021-09-30T08:26:08.490Z"}],"licence_links":[],"grants":[{"id":2427,"fairsharing_record_id":2383,"organisation_id":1016,"relation":"funds","created_at":"2021-09-30T09:25:43.445Z","updated_at":"2021-09-30T09:25:43.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":1016,"name":"Finska lakaresellskapet, Helsinki, Finland","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2430,"fairsharing_record_id":2383,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:43.568Z","updated_at":"2021-09-30T09:29:25.826Z","grant_id":246,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"201413","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2432,"fairsharing_record_id":2383,"organisation_id":17,"relation":"funds","created_at":"2021-09-30T09:25:43.643Z","updated_at":"2021-09-30T09:30:48.790Z","grant_id":882,"is_lead":false,"saved_state":{"id":17,"name":"Academy of Finland, Helsinki, Finland","grant":"267561","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2431,"fairsharing_record_id":2383,"organisation_id":3064,"relation":"maintains","created_at":"2021-09-30T09:25:43.606Z","updated_at":"2021-09-30T09:25:43.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":3064,"name":"University of Helsinki, Finland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2428,"fairsharing_record_id":2383,"organisation_id":778,"relation":"funds","created_at":"2021-09-30T09:25:43.476Z","updated_at":"2021-09-30T09:30:38.439Z","grant_id":802,"is_lead":false,"saved_state":{"id":778,"name":"Doctoral Programme in Biomedicine, University of Helsinki, Helsinki, Finland","grant":"Personal grant","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2429,"fairsharing_record_id":2383,"organisation_id":1226,"relation":"funds","created_at":"2021-09-30T09:25:43.527Z","updated_at":"2021-09-30T09:31:17.508Z","grant_id":1104,"is_lead":false,"saved_state":{"id":1226,"name":"Healthy People 2010 program, Centers for Disease Control and Prevention, Atlanta, GA, USA","grant":"261433","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8381,"fairsharing_record_id":2383,"organisation_id":1226,"relation":"funds","created_at":"2021-09-30T09:32:22.601Z","updated_at":"2021-09-30T09:32:22.654Z","grant_id":1591,"is_lead":false,"saved_state":{"id":1226,"name":"Healthy People 2010 program, Centers for Disease Control and Prevention, Atlanta, GA, USA","grant":"261123","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8410,"fairsharing_record_id":2383,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:32:31.293Z","updated_at":"2021-09-30T09:32:31.337Z","grant_id":1658,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"242167","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2384","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T11:49:42.000Z","updated_at":"2023-01-03T15:58:06.908Z","metadata":{"doi":"10.25504/FAIRsharing.7sfedh","name":"CRISPRdb","status":"deprecated","contacts":[{"contact_name":"Christine Pourcel","contact_email":"Christine.Pourcel@u-psud.fr","contact_orcid":"0000-0002-8951-466X"}],"homepage":"http://crispr.i2bc.paris-saclay.fr/","citations":[],"identifier":2384,"description":"CRISPRdb acts as a gateway to a publicly accessible database and software. It enables the easy detection of CRISPR sequences in locally-produced data and the consultation of CRISPR sequence data present in the database. It also gives information on the presence of CRISPR-associated (cas) genes when they have been annotated as such.","abbreviation":"CRISPRdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://crispr.i2bc.paris-saclay.fr/index.php?page=FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://crispr.i2bc.paris-saclay.fr/crispr/HelpTopics/help_CRISPRdatabase.html","type":"Help documentation"},{"url":"http://crispr.i2bc.paris-saclay.fr/crispr/HelpTopics/examples_CRISPRdatabase.html","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"http://crispr.i2bc.paris-saclay.fr/crispr/BLAST/CRISPRsBlast.php","name":"blast"},{"url":"http://crispr.i2bc.paris-saclay.fr/CRISPRcompar/","name":"CRISPRcompar"},{"url":"http://crispr.i2bc.paris-saclay.fr/Server/","name":"CRISPRfinder"}],"deprecation_date":"2020-09-10","deprecation_reason":"Deprecated after correspondence with Christine Pourcel (maintainer)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000864","bsg-d000864"],"name":"FAIRsharing record for: CRISPRdb","abbreviation":"CRISPRdb","url":"https://fairsharing.org/10.25504/FAIRsharing.7sfedh","doi":"10.25504/FAIRsharing.7sfedh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CRISPRdb acts as a gateway to a publicly accessible database and software. It enables the easy detection of CRISPR sequences in locally-produced data and the consultation of CRISPR sequence data present in the database. It also gives information on the presence of CRISPR-associated (cas) genes when they have been annotated as such.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12181}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["DNA sequence data","Annotation","Sequence","CRISPR"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2040,"pubmed_id":17521438,"title":"The CRISPRdb database and tools to display CRISPRs and to generate dictionaries of spacers and repeats.","year":2007,"url":"http://doi.org/10.1186/1471-2105-8-172","authors":"Grissa I,Vergnaud G,Pourcel C","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-8-172","created_at":"2021-09-30T08:26:09.757Z","updated_at":"2021-09-30T08:26:09.757Z"},{"id":2044,"pubmed_id":17537822,"title":"CRISPRFinder: a web tool to identify clustered regularly interspaced short palindromic repeats.","year":2007,"url":"http://doi.org/10.1093/nar/gkm360","authors":"Grissa I,Vergnaud G,Pourcel C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm360","created_at":"2021-09-30T08:26:10.297Z","updated_at":"2021-09-30T11:29:27.245Z"},{"id":2045,"pubmed_id":18442988,"title":"CRISPRcompar: a website to compare clustered regularly interspaced short palindromic repeats.","year":2008,"url":"http://doi.org/10.1093/nar/gkn228","authors":"Grissa I,Vergnaud G,Pourcel C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn228","created_at":"2021-09-30T08:26:10.396Z","updated_at":"2021-09-30T11:29:27.335Z"}],"licence_links":[],"grants":[{"id":2436,"fairsharing_record_id":2384,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:43.762Z","updated_at":"2021-09-30T09:30:09.780Z","grant_id":579,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","grant":"ANR-14-ASMA-0002-02 MicroType","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2433,"fairsharing_record_id":2384,"organisation_id":2709,"relation":"funds","created_at":"2021-09-30T09:25:43.672Z","updated_at":"2021-09-30T09:31:13.785Z","grant_id":1075,"is_lead":false,"saved_state":{"id":2709,"name":"TBChina EU project","grant":"Project no.012166","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9206,"fairsharing_record_id":2384,"organisation_id":1974,"relation":"funds","created_at":"2022-04-11T12:07:22.090Z","updated_at":"2022-04-11T12:07:22.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2385","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T13:44:50.000Z","updated_at":"2024-03-20T13:12:30.248Z","metadata":{"doi":"10.25504/FAIRsharing.m58329","name":"Database Of Local Biomolecular Conformers","status":"deprecated","contacts":[{"contact_name":"Petr Čech","contact_email":"petr.cech@vscht.cz"}],"homepage":"http://dolbico.org/","citations":[],"identifier":2385,"description":"Dolbico, the Database Of Local Biomolecular Conformers, stores DNA structural data including the information about DNA local spatial arrangement. The main aim of Dolbico is the exploration of DNA structure at a local level. The analysis of local DNA structure is based on a classification system that uses 9 torsional angles (7 backbone angles and two glycosidic torsions) to categorize dinucleotides into several distinct conformational families. The implemented classification workflow is able not only to classify dinucleotides into already existing classes, but is also able to discover new classes in new solved DNA structures.","abbreviation":"Dolbico","data_curation":{"type":"not found"},"support_links":[{"url":"http://dolbico.org/help","type":"Help documentation"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2024-03-20","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000865","bsg-d000865"],"name":"FAIRsharing record for: Database Of Local Biomolecular Conformers","abbreviation":"Dolbico","url":"https://fairsharing.org/10.25504/FAIRsharing.m58329","doi":"10.25504/FAIRsharing.m58329","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dolbico, the Database Of Local Biomolecular Conformers, stores DNA structural data including the information about DNA local spatial arrangement. The main aim of Dolbico is the exploration of DNA structure at a local level. The analysis of local DNA structure is based on a classification system that uses 9 torsional angles (7 backbone angles and two glycosidic torsions) to categorize dinucleotides into several distinct conformational families. The implemented classification workflow is able not only to classify dinucleotides into already existing classes, but is also able to discover new classes in new solved DNA structures.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11393},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12182}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Classification","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[],"licence_links":[],"grants":[{"id":2437,"fairsharing_record_id":2385,"organisation_id":1674,"relation":"maintains","created_at":"2021-09-30T09:25:43.787Z","updated_at":"2021-09-30T09:25:43.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1674,"name":"Laboratory of Informatics and Chemistry, Prague, Czech Republic","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2372","type":"fairsharing_records","attributes":{"created_at":"2016-12-07T22:02:32.000Z","updated_at":"2024-01-03T07:55:28.990Z","metadata":{"doi":"10.25504/FAIRsharing.1y63n8","name":"MorphoBank","status":"ready","contacts":[{"contact_name":"Tanya Berardini","contact_email":"tberardini@phoenixbioinformatics.org","contact_orcid":"0000-0002-3837-8864"}],"homepage":"https://morphobank.org/","citations":[],"identifier":2372,"description":"MorphoBank provides a digital archive of biodiversity and evolutionary research data, specifically systematics (the science of determining the evolutionary relationships among species). MorphoBank aids development of the Tree of Life - the genealogy of all living and extinct species. Heritable features - both genotypes (e.g., DNA sequences) and phenotypes (e.g., anatomy, behavior, physiology) are stored as part of the Tree of Life project. While the genomic part of this work is archived at the National Center for Biotechnology Information (NCBI), MorphoBank is part of the infrastructure for storing and sharing phenotype data, including information on anatomy, physiology, behavior and other features of species. One can think of MorphoBank as two databases in one: one that permits researchers to upload images and affiliate data with those images (labels, species names, etc.) and a second database that allows researchers to upload morphological data and affiliate it with phylogenetic matrices. In both cases, MorphoBank is project-based, meaning a team of researchers can create a project and share the images and associated data exclusively with each other. When a paper associated with the project is published, the research team can make their data permanently available for view on MorphoBank where it is now archived. The phylogenetic matrix aspect of MorphoBank is designed to aid systematists working alone or in teams to build large phylogenetic trees using morphology (anatomy, histology, neurology, or any aspect of phenotypes) or a combination of morphology and molecular data.","abbreviation":"MorphoBank","data_curation":{"type":"manual"},"support_links":[{"url":"https://morphobank.org/index.php/Press/Index","name":"In The News","type":"Blog/News"},{"url":"https://morphobank.org/index.php/Contact/Index","name":"Contact Form","type":"Contact form"},{"url":"https://morphobank.org/index.php/FAQ/Index","name":"MorphoBank FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://morphobank.org/index.php/Documentation/Index","name":"Documentation","type":"Help documentation"},{"url":"https://morphobank.org/index.php/About/Index","name":"About MorphoBank","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Morphobank","name":"Wikipedia Entry","type":"Wikipedia"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010101","name":"re3data:r3d100010101","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003213","name":"SciCrunch:RRID:SCR_003213","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://conf.phoenixbioinformatics.org/display/MD/User+Guide+-+Project+Management#UserGuideProjectManagement-CreatingaNewProject","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000851","bsg-d000851"],"name":"FAIRsharing record for: MorphoBank","abbreviation":"MorphoBank","url":"https://fairsharing.org/10.25504/FAIRsharing.1y63n8","doi":"10.25504/FAIRsharing.1y63n8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MorphoBank provides a digital archive of biodiversity and evolutionary research data, specifically systematics (the science of determining the evolutionary relationships among species). MorphoBank aids development of the Tree of Life - the genealogy of all living and extinct species. Heritable features - both genotypes (e.g., DNA sequences) and phenotypes (e.g., anatomy, behavior, physiology) are stored as part of the Tree of Life project. While the genomic part of this work is archived at the National Center for Biotechnology Information (NCBI), MorphoBank is part of the infrastructure for storing and sharing phenotype data, including information on anatomy, physiology, behavior and other features of species. One can think of MorphoBank as two databases in one: one that permits researchers to upload images and affiliate data with those images (labels, species names, etc.) and a second database that allows researchers to upload morphological data and affiliate it with phylogenetic matrices. In both cases, MorphoBank is project-based, meaning a team of researchers can create a project and share the images and associated data exclusively with each other. When a paper associated with the project is published, the research team can make their data permanently available for view on MorphoBank where it is now archived. The phylogenetic matrix aspect of MorphoBank is designed to aid systematists working alone or in teams to build large phylogenetic trees using morphology (anatomy, histology, neurology, or any aspect of phenotypes) or a combination of morphology and molecular data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Paleontology","Phylogeny","Phylogenetics","Behavioural Biology","Biodiversity","Evolutionary Biology","Biology"],"domains":["Bioimaging","Evolution"],"taxonomies":["All"],"user_defined_tags":["phylogenetic matrix"],"countries":["United States"],"publications":[{"id":2203,"pubmed_id":24987572,"title":"Best practices for data sharing in phylogenetic research.","year":2014,"url":"http://doi.org/10.1371/currents.tol.bf01eff4a6b60ca4825c69293dc59645","authors":"Cranston K,Harmon LJ,O'Leary MA,Lisle C","journal":"PLoS Curr","doi":"10.1371/currents.tol.bf01eff4a6b60ca4825c69293dc59645","created_at":"2021-09-30T08:26:28.248Z","updated_at":"2021-09-30T08:26:28.248Z"},{"id":2204,"pubmed_id":25861210,"title":"A RESTful API for Access to Phylogenetic Tools via the CIPRES Science Gateway.","year":2015,"url":"http://doi.org/10.4137/EBO.S21501","authors":"Miller MA,Schwartz T,Pickett BE,He S,Klem EB,Scheuermann RH,Passarotti M,Kaufman S,O'Leary MA","journal":"Evol Bioinform Online","doi":"10.4137/EBO.S21501","created_at":"2021-09-30T08:26:28.401Z","updated_at":"2021-09-30T08:26:28.401Z"},{"id":2205,"pubmed_id":null,"title":"From card catalogs to computers: databases in vertebrate paleontology","year":2013,"url":"http://doi.org/10.1080/02724634.2012.716114","authors":"Mark D. Uhen, Anthony D. Barnosky, Brian Bills, et al.","journal":"Journal of Vertebrate Paleontology, 33:1, 13-28","doi":"10.1080/02724634.2012.716114","created_at":"2021-09-30T08:26:28.523Z","updated_at":"2021-09-30T08:26:28.523Z"},{"id":2224,"pubmed_id":null,"title":"Editorial","year":2011,"url":"http://doi.org/10.1080/02724634.2011.546742","authors":"Annalisa Berta, Paul M. Barrett","journal":"Journal of Vertebrate Paleontology, 31:1, 1","doi":"10.1080/02724634.2011.546742","created_at":"2021-09-30T08:26:30.599Z","updated_at":"2021-09-30T08:26:30.599Z"},{"id":2225,"pubmed_id":null,"title":"The encyclopedia of life","year":2003,"url":"http://doi.org/10.1016/S0169-5347(02)00040-X","authors":"Wilson, Edward O","journal":"Trends in Ecology and Evolution , Volume 18 , Issue 2 , 77 - 80","doi":"10.1016/S0169-5347(02)00040-X","created_at":"2021-09-30T08:26:30.699Z","updated_at":"2021-09-30T08:26:30.699Z"},{"id":2226,"pubmed_id":null,"title":"Strategies and guidelines for scholarly publishing of biodiversity data","year":2017,"url":"http://doi.org/10.3897/rio.3.e12431","authors":"Penev L, Mietchen D, Chavan V, Hagedorn G, Smith V, Shotton D, O Tuama E, Senderov V, Georgiev T, Stoev P, Groom Q, Remsen D, Edmunds S","journal":"Research Ideas and Outcomes 3: e12431","doi":"10.3897/rio.3.e12431","created_at":"2021-09-30T08:26:30.810Z","updated_at":"2021-09-30T08:26:30.810Z"},{"id":3072,"pubmed_id":null,"title":"MorphoBank: phylophenomics in the “cloud”","year":2011,"url":"http://doi.org/10.1111/j.1096-0031.2011.00355.x","authors":"O'Leary, M. A. and Kaufman, S.","journal":"Cladistics, 27: 529–537","doi":"10.1111/j.1096-0031.2011.00355.x","created_at":"2021-09-30T08:28:18.549Z","updated_at":"2021-09-30T08:28:18.549Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2161,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2160,"relation":"undefined"},{"licence_name":"MorphoBank Terms of Use","licence_id":521,"licence_url":"https://morphobank.org/index.php/TermsOfUse/Index","link_id":2162,"relation":"undefined"}],"grants":[{"id":2385,"fairsharing_record_id":2372,"organisation_id":79,"relation":"maintains","created_at":"2021-09-30T09:25:42.096Z","updated_at":"2021-09-30T09:25:42.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":79,"name":"American Museum of Natural History, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2388,"fairsharing_record_id":2372,"organisation_id":2646,"relation":"maintains","created_at":"2021-09-30T09:25:42.192Z","updated_at":"2021-09-30T09:25:42.192Z","grant_id":null,"is_lead":false,"saved_state":{"id":2646,"name":"Stony Brook University, Stony Brook, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2384,"fairsharing_record_id":2372,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:42.066Z","updated_at":"2021-09-30T09:31:20.152Z","grant_id":1124,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1457925","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8460,"fairsharing_record_id":2372,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:44.436Z","updated_at":"2021-09-30T09:32:44.492Z","grant_id":1757,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0622359","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2386,"fairsharing_record_id":2372,"organisation_id":79,"relation":"funds","created_at":"2021-09-30T09:25:42.118Z","updated_at":"2021-09-30T09:25:42.118Z","grant_id":null,"is_lead":false,"saved_state":{"id":79,"name":"American Museum of Natural History, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2387,"fairsharing_record_id":2372,"organisation_id":2322,"relation":"maintains","created_at":"2021-09-30T09:25:42.150Z","updated_at":"2021-09-30T09:25:42.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":2322,"name":"Phoenix Bioinformatics Corporation","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2390,"fairsharing_record_id":2372,"organisation_id":1898,"relation":"maintains","created_at":"2021-09-30T09:25:42.271Z","updated_at":"2021-09-30T09:25:42.271Z","grant_id":null,"is_lead":true,"saved_state":{"id":1898,"name":"MorphoBank Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2389,"fairsharing_record_id":2372,"organisation_id":2056,"relation":"funds","created_at":"2021-09-30T09:25:42.240Z","updated_at":"2021-09-30T09:32:42.247Z","grant_id":1740,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","grant":"NA04OAR4700191","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8469,"fairsharing_record_id":2372,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:47.303Z","updated_at":"2021-09-30T09:32:47.355Z","grant_id":1778,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DEB-9903964","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2373","type":"fairsharing_records","attributes":{"created_at":"2017-01-14T19:43:51.000Z","updated_at":"2022-04-21T07:44:08.929Z","metadata":{"doi":"10.25504/FAIRsharing.v1h8rk","name":"Atlas of Living Australia IPT - GBIF Australia Repository","status":"deprecated","contacts":[{"contact_email":"helpdesk@gbif.org"}],"homepage":"http://ipt.ala.org.au/","citations":[],"identifier":2373,"description":"The Atlas of Living Australia (GBIF Australia) maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Australia supports researchers in Australia by providing them helpdesk assistance and by hosting their data for free in this repository.","abbreviation":"ALA IPT - GBIF Australia Repository","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/FAQ.wiki","name":"IPT FAQ","type":"Github"},{"url":"https://github.com/gbif/ipt/issues/new","name":"IPT Issues","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"IPT Manual","type":"Github"},{"url":"http://ipt.ala.org.au/about.do","name":"About the ALA IPT","type":"Help documentation"},{"url":"http://ipt.ala.org.au/rss.do","name":"ALA IPT RSS Feed","type":"Blog/News"},{"url":"https://twitter.com/atlaslivingaust","name":"@atlaslivingaust","type":"Twitter"}],"year_creation":2016,"data_versioning":"not found","deprecation_date":"2022-04-21","deprecation_reason":"Functionality that led to the installation of the IPT is now supported through the Atlas of Living Australia's own software stack: see https://fairsharing.org/FAIRsharing.2f66da","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000852","bsg-d000852"],"name":"FAIRsharing record for: Atlas of Living Australia IPT - GBIF Australia Repository","abbreviation":"ALA IPT - GBIF Australia Repository","url":"https://fairsharing.org/10.25504/FAIRsharing.v1h8rk","doi":"10.25504/FAIRsharing.v1h8rk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Atlas of Living Australia (GBIF Australia) maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Australia supports researchers in Australia by providing them helpdesk assistance and by hosting their data for free in this repository.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11643}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":["Introduced Species","Invasive Species"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1500,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1497,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1499,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1498,"relation":"undefined"}],"grants":[{"id":2392,"fairsharing_record_id":2373,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:42.335Z","updated_at":"2021-09-30T09:25:42.335Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2391,"fairsharing_record_id":2373,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:25:42.312Z","updated_at":"2021-09-30T09:25:42.312Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2393,"fairsharing_record_id":2373,"organisation_id":132,"relation":"maintains","created_at":"2021-09-30T09:25:42.361Z","updated_at":"2021-09-30T09:25:42.361Z","grant_id":null,"is_lead":true,"saved_state":{"id":132,"name":"Atlas of Living Australia, Australia","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2369","type":"fairsharing_records","attributes":{"created_at":"2016-12-01T10:34:17.000Z","updated_at":"2023-12-15T10:33:07.196Z","metadata":{"doi":"10.25504/FAIRsharing.3f9n4y","name":"Open Targets","status":"ready","contacts":[{"contact_name":"Open Targets Team","contact_email":"helpdesk@opentargets.org"}],"homepage":"https://platform.opentargets.org/","citations":[{"doi":"10.1093/nar/gkac1046","pubmed_id":null,"publication_id":3909}],"identifier":2369,"description":"Open Targets is a data integration platform for access to and visualisation of potential drug targets associated with disease. Each drug target is linked to a disease using integrated genome-wide data from a broad range of data sources.","abbreviation":"Open Targets","data_curation":{"type":"not found"},"support_links":[{"url":"http://blog.opentargets.org/","name":"Open Targets Blog","type":"Blog/News"},{"url":"https://www.opentargets.org/contact","name":"Contact Form","type":"Contact form"},{"url":"https://community.opentargets.org/","name":"Community Forum","type":"Forum"},{"url":"https://platform-docs.opentargets.org/","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/opentargets","name":"GitHub Repository","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/text-mining-key-concepts-and-applications","name":"Text mining: Key concepts and applications","type":"TeSS links to training materials"},{"url":"https://twitter.com/opentargets","name":"@opentargets","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"url":"https://platform.opentargets.org/downloads","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000848","bsg-d000848"],"name":"FAIRsharing record for: Open Targets","abbreviation":"Open Targets","url":"https://fairsharing.org/10.25504/FAIRsharing.3f9n4y","doi":"10.25504/FAIRsharing.3f9n4y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open Targets is a data integration platform for access to and visualisation of potential drug targets associated with disease. Each drug target is linked to a disease using integrated genome-wide data from a broad range of data sources.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11784},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12766}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Molecular biology","Genomics","Epigenetics","Genetics","Human Genetics","Transcriptomics","Biomedical Science"],"domains":["Gene report","Abstract","Text mining","Disease process modeling","Rare disease","Phenotype","Disease phenotype","Disease","Gene-disease association","Target","Approved drug"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China","United Kingdom","United States"],"publications":[{"id":1231,"pubmed_id":27899665,"title":"Open Targets: a platform for therapeutic target identification and validation.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1055","authors":"Koscielny G,An P,Carvalho-Silva D et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1055","created_at":"2021-09-30T08:24:37.306Z","updated_at":"2021-09-30T11:29:03.495Z"},{"id":2054,"pubmed_id":33196847,"title":"Open Targets Platform: supporting systematic drug-target identification and prioritisation.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa1027","authors":"Ochoa D,Hercules A,Carmona M et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1027","created_at":"2021-09-30T08:26:11.404Z","updated_at":"2021-09-30T11:29:27.520Z"},{"id":2571,"pubmed_id":30462303,"title":"Open Targets Platform: new developments and updates two years on.","year":2018,"url":"http://doi.org/10.1093/nar/gky1133","authors":"Carvalho-Silva D,Pierleoni A,Pignatelli M,Ong C,Fumis L,Karamanis N,Carmona M,Faulconbridge A,Hercules A,McAuley E,Miranda A,Peat G,Spitzer M,Barrett J,Hulcoop DG,Papa E,Koscielny G,Dunham I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1133","created_at":"2021-09-30T08:27:15.259Z","updated_at":"2021-09-30T11:29:39.612Z"},{"id":3909,"pubmed_id":null,"title":"The next-generation Open Targets Platform: reimagined, redesigned, rebuilt","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1046","authors":"Ochoa, David; Hercules, Andrew; Carmona, Miguel; Suveges, Daniel; Baker, Jarrod; Malangone, Cinzia; Lopez, Irene; Miranda, Alfredo; Cruz-Castillo, Carlos; Fumis, Luca; Bernal-Llinares, Manuel; Tsukanov, Kirill; Cornu, Helena; Tsirigos, Konstantinos; Razuvayevskaya, Olesya; Buniello, Annalisa; Schwartzentruber, Jeremy; Karim, Mohd; Ariano, Bruno; Martinez Osorio, Ricardo Esteban; Ferrer, Javier; Ge, Xiangyu; Machlitt-Northen, Sandra; Gonzalez-Uriarte, Asier; Saha, Shyamasree; Tirunagari, Santosh; Mehta, Chintan; Roldán-Romero, Juan María; Horswell, Stuart; Young, Sarah; Ghoussaini, Maya; Hulcoop, David G; Dunham, Ian; McDonagh, Ellen M; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1046","created_at":"2023-06-14T07:41:44.652Z","updated_at":"2023-06-14T07:41:44.652Z"}],"licence_links":[{"licence_name":"Open Target Terms of Use","licence_id":632,"licence_url":"https://platform-docs.opentargets.org/terms-of-use","link_id":808,"relation":"undefined"}],"grants":[{"id":2378,"fairsharing_record_id":2369,"organisation_id":232,"relation":"maintains","created_at":"2021-09-30T09:25:41.903Z","updated_at":"2021-09-30T09:25:41.903Z","grant_id":null,"is_lead":false,"saved_state":{"id":232,"name":"BioGen","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2380,"fairsharing_record_id":2369,"organisation_id":2853,"relation":"maintains","created_at":"2021-09-30T09:25:41.952Z","updated_at":"2021-09-30T09:25:41.952Z","grant_id":null,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9248,"fairsharing_record_id":2369,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.162Z","updated_at":"2022-04-11T12:07:25.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9329,"fairsharing_record_id":2369,"organisation_id":403,"relation":"funds","created_at":"2022-04-11T12:07:30.789Z","updated_at":"2022-04-11T12:07:30.789Z","grant_id":null,"is_lead":false,"saved_state":{"id":403,"name":"Cellzome, GSK, Middlesex, UK.","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2370","type":"fairsharing_records","attributes":{"created_at":"2017-01-12T17:59:26.000Z","updated_at":"2023-12-15T10:30:40.481Z","metadata":{"doi":"10.25504/FAIRsharing.q8fx1b","name":"Ontobee","status":"ready","contacts":[{"contact_name":"Yongqun He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.ontobee.org/","citations":[],"identifier":2370,"description":"A linked data server designed for ontologies. Ontobee is aimed to facilitate ontology data sharing, visualization, query, integration, and analysis. Ontobee dynamically dereferences and presents individual ontology term URIs to (i) HTML web pages for user-friendly web browsing and navigation, and to (ii) RDF source code for Semantic Web applications. Ontobee is the default linked data server for most OBO Foundry library ontologies. Ontobee has also been used for many non-OBO ontologies.","abbreviation":"Ontobee","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.ontobee.org/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://groups.google.com/forum/#!forum/ontobee-discuss","type":"Forum"},{"url":"http://www.ontobee.org/tutorial","type":"Help documentation"},{"url":"http://www.ontobee.org/introduction","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000849","bsg-d000849"],"name":"FAIRsharing record for: Ontobee","abbreviation":"Ontobee","url":"https://fairsharing.org/10.25504/FAIRsharing.q8fx1b","doi":"10.25504/FAIRsharing.q8fx1b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A linked data server designed for ontologies. Ontobee is aimed to facilitate ontology data sharing, visualization, query, integration, and analysis. Ontobee dynamically dereferences and presents individual ontology term URIs to (i) HTML web pages for user-friendly web browsing and navigation, and to (ii) RDF source code for Semantic Web applications. Ontobee is the default linked data server for most OBO Foundry library ontologies. Ontobee has also been used for many non-OBO ontologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Ontology and Terminology"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1994,"pubmed_id":27733503,"title":"Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration.","year":2016,"url":"http://doi.org/10.1093/nar/gkw918","authors":"Ong E, Xiang Z, Zhao B, Liu Y, Lin Y, Zheng J, Mungall C, Courtot M, Ruttenberg A, He Y.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw918","created_at":"2021-09-30T08:26:04.466Z","updated_at":"2021-09-30T08:26:04.466Z"}],"licence_links":[],"grants":[{"id":2382,"fairsharing_record_id":2370,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:25:42.003Z","updated_at":"2021-09-30T09:25:42.003Z","grant_id":null,"is_lead":false,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2371","type":"fairsharing_records","attributes":{"created_at":"2016-12-05T09:50:22.000Z","updated_at":"2023-12-15T10:31:58.399Z","metadata":{"doi":"10.25504/FAIRsharing.e4r5nj","name":"MalaCards","status":"ready","contacts":[{"contact_name":"Doron Lancet","contact_email":"doron.lancet@weizmann.ac.il","contact_orcid":"0000-0001-8643-2055"}],"homepage":"http://www.malacards.org/","identifier":2371,"description":"The MalaCards human disease database (http://www. malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards’ affiliation with the GeneCards Suite of databases. MalaCards’ capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a ‘flat’ disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny.","abbreviation":"MalaCards","data_curation":{"url":"https://www.malacards.org/pages/info","type":"manual/automated"},"support_links":[{"url":"http://www.malacards.org/pages/info#whats_in_a_malacard","type":"Help documentation"},{"url":"http://www.malacards.org/pages/searchguide","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://www.malacards.org/categories","name":"View by Category"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012018","name":"re3data:r3d100012018","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005817","name":"SciCrunch:RRID:SCR_005817","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000850","bsg-d000850"],"name":"FAIRsharing record for: MalaCards","abbreviation":"MalaCards","url":"https://fairsharing.org/10.25504/FAIRsharing.e4r5nj","doi":"10.25504/FAIRsharing.e4r5nj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MalaCards human disease database (http://www. malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards’ affiliation with the GeneCards Suite of databases. MalaCards’ capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a ‘flat’ disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Israel"],"publications":[{"id":1086,"pubmed_id":27899610,"title":"MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1012","authors":"Rappaport N,Twik M,Plaschkes I,Nudel R,Iny Stein T,Levitt J,Gershoni M,Morrey CP,Safran M,Lancet D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1012","created_at":"2021-09-30T08:24:20.304Z","updated_at":"2021-09-30T11:28:58.285Z"}],"licence_links":[{"licence_name":"GeneCards Academic License","licence_id":328,"licence_url":"http://www.genecards.org/AcadLicense.pdf","link_id":925,"relation":"undefined"}],"grants":[{"id":2383,"fairsharing_record_id":2371,"organisation_id":3224,"relation":"maintains","created_at":"2021-09-30T09:25:42.032Z","updated_at":"2021-09-30T09:25:42.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":3224,"name":"Weizmann Institute of Science, Rehovot, Israel","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2375","type":"fairsharing_records","attributes":{"created_at":"2017-01-09T18:36:47.000Z","updated_at":"2023-12-15T10:30:25.426Z","metadata":{"doi":"10.25504/FAIRsharing.bk3z3n","name":"GBIF Spain IPT - GBIF Spain Repository","status":"ready","contacts":[{"contact_name":"Santiago Martínez de la Riva","contact_email":"sama@gbif.es"}],"homepage":"http://www.gbif.es/ipt/","identifier":2375,"description":"GBIF Spain maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Spain supports researchers in Spain by providing them helpdesk assistance and by hosting their data for free in this repository. It has already been used to publish/host data in scientific publications, e.g. http://dx.doi.org/10.15470/qomfu6 which is the data this Scientific Data publication is based on: http://dx.doi.org/10.1038/sdata.2016.85","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"info@gbif.es","type":"Support email"},{"url":"https://github.com/gbif/ipt/wiki/FAQ.wiki","type":"Github"},{"url":"http://lists.gbif.org/mailman/listinfo/ipt","type":"Mailing list"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","type":"Github"},{"url":"http://www.gbif.org/disclaimer/datasharing","type":"Help documentation"},{"url":"https://twitter.com/GbifEs","type":"Twitter"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://www.gbif.org/ipt","name":"GBIF Integrated Publishing Toolkit (IPT) 2.3.x"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000854","bsg-d000854"],"name":"FAIRsharing record for: GBIF Spain IPT - GBIF Spain Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.bk3z3n","doi":"10.25504/FAIRsharing.bk3z3n","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF Spain maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Spain supports researchers in Spain by providing them helpdesk assistance and by hosting their data for free in this repository. It has already been used to publish/host data in scientific publications, e.g. http://dx.doi.org/10.15470/qomfu6 which is the data this Scientific Data publication is based on: http://dx.doi.org/10.1038/sdata.2016.85","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11644}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1981,"pubmed_id":27676217,"title":"Long-term data set of small mammals from owl pellets in the Atlantic-Mediterranean transition area.","year":2016,"url":"http://doi.org/10.1038/sdata.2016.85","authors":"Escribano N,Galicia D,Arino AH,Escala C","journal":"Sci Data","doi":"10.1038/sdata.2016.85","created_at":"2021-09-30T08:26:02.949Z","updated_at":"2021-09-30T08:26:02.949Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1022,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":376,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1029,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1026,"relation":"undefined"}],"grants":[{"id":2402,"fairsharing_record_id":2375,"organisation_id":1167,"relation":"maintains","created_at":"2021-09-30T09:25:42.586Z","updated_at":"2021-09-30T09:25:42.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":1167,"name":"Global Biodiversity Information Facility (GBIF) in Spain, Madrid, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2400,"fairsharing_record_id":2375,"organisation_id":1852,"relation":"funds","created_at":"2021-09-30T09:25:42.535Z","updated_at":"2021-09-30T09:25:42.535Z","grant_id":null,"is_lead":false,"saved_state":{"id":1852,"name":"Ministerio de Economia, Industria y Competitividad, Madrid, Spain","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2401,"fairsharing_record_id":2375,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:25:42.561Z","updated_at":"2021-09-30T09:25:42.561Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2377","type":"fairsharing_records","attributes":{"created_at":"2017-01-14T20:27:28.000Z","updated_at":"2023-12-15T10:31:04.649Z","metadata":{"doi":"10.25504/FAIRsharing.t80940","name":"SiB Colombia IPT - GBIF Colombia Repository","status":"ready","contacts":[{"contact_name":"SiB Colombia Secretariat","contact_email":"sib@humboldt.org.co"}],"homepage":"http://ipt.biodiversidad.co/sib/","citations":[],"identifier":2377,"description":"The Colombian Biodiversity Information System (SiB Colombia) maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. SiB Colombia supports researchers in Colombia by providing them helpdesk assistance and by hosting their data for free in this repository.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/FAQ.wiki","type":"Github"},{"url":"https://github.com/SIB-Colombia/ipt/issues/new","type":"Github"},{"url":"https://sites.google.com/humboldt.org.co/wikisib/contacto","type":"Help documentation"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes_ES.wiki","type":"Github"},{"url":"http://www.gbif.org/disclaimer/datasharing","type":"Help documentation"},{"url":"http://ipt.biodiversidad.co/sib/rss.do","type":"Blog/News"},{"url":"https://twitter.com/sibcolombia","type":"Twitter"},{"url":"https://sites.google.com/humboldt.org.co/wikisib/inicio","type":"Wikipedia"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://www.gbif.org/ipt","name":"Integrated Publishing Toolkit (IPT) 2.3.3"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000856","bsg-d000856"],"name":"FAIRsharing record for: SiB Colombia IPT - GBIF Colombia Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.t80940","doi":"10.25504/FAIRsharing.t80940","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Colombian Biodiversity Information System (SiB Colombia) maintains this data repository, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. SiB Colombia supports researchers in Colombia by providing them helpdesk assistance and by hosting their data for free in this repository.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11646}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Colombia"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":250,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":382,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1031,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1024,"relation":"undefined"}],"grants":[{"id":2405,"fairsharing_record_id":2377,"organisation_id":1166,"relation":"maintains","created_at":"2021-09-30T09:25:42.662Z","updated_at":"2021-09-30T09:25:42.662Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility (GBIF), Copenhagen, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2406,"fairsharing_record_id":2377,"organisation_id":2564,"relation":"maintains","created_at":"2021-09-30T09:25:42.692Z","updated_at":"2021-09-30T09:25:42.692Z","grant_id":null,"is_lead":false,"saved_state":{"id":2564,"name":"SiB Colombia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2407,"fairsharing_record_id":2377,"organisation_id":1452,"relation":"funds","created_at":"2021-09-30T09:25:42.734Z","updated_at":"2021-09-30T09:25:42.734Z","grant_id":null,"is_lead":false,"saved_state":{"id":1452,"name":"Instituto Humboldt (IAvH), Bogota, Colombia","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2386","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T14:17:34.000Z","updated_at":"2023-12-15T10:32:15.841Z","metadata":{"doi":"10.25504/FAIRsharing.923a0p","name":"Ensembl Genomes","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@ensembl.org"}],"homepage":"https://ensemblgenomes.org/","citations":[{"doi":"10.1093/nar/gkz890","pubmed_id":31598706,"publication_id":1081}],"identifier":2386,"description":"The Ensembl genome annotation system, developed jointly by EMBL-EBI and the Wellcome Trust Sanger Institute, has been used for the annotation, analysis and display of vertebrate genomes since 2000. Since 2009, the Ensembl site has been complemented by the creation of five new sites, for bacteria, protists, fungi, plants and invertebrate metazoa, enabling users to use a single collection of (interactive and programatic) interfaces for accessing and comparing genome-scale data from species of scientific interest from across the taxonomy.","abbreviation":"Ensembl Genomes","data_curation":{"url":"https://rapid.ensembl.org/info/genome/genebuild/index.html","type":"automated"},"support_links":[{"url":"https://www.ensembl.info/","name":"Ensembl Blog","type":"Blog/News"},{"url":"helpdesk@ensemblgenomes.org","name":"Ensembl Genomes Helpdesk","type":"Support email"},{"url":"https://twitter.com/ensemblgenomes","name":"@ensemblgenomes","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011197","name":"re3data:r3d100011197","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006773","name":"SciCrunch:RRID:SCR_006773","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000866","bsg-d000866"],"name":"FAIRsharing record for: Ensembl Genomes","abbreviation":"Ensembl Genomes","url":"https://fairsharing.org/10.25504/FAIRsharing.923a0p","doi":"10.25504/FAIRsharing.923a0p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ensembl genome annotation system, developed jointly by EMBL-EBI and the Wellcome Trust Sanger Institute, has been used for the annotation, analysis and display of vertebrate genomes since 2000. Since 2009, the Ensembl site has been complemented by the creation of five new sites, for bacteria, protists, fungi, plants and invertebrate metazoa, enabling users to use a single collection of (interactive and programatic) interfaces for accessing and comparing genome-scale data from species of scientific interest from across the taxonomy.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11394},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11850},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12769}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Comparative Genomics"],"domains":["DNA sequence data","Genome annotation","Genome alignment","Genome visualization","Genome"],"taxonomies":["Bacteria","Eukaryota","Fungi","Plantae","Vertebrata"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1081,"pubmed_id":31598706,"title":"Ensembl Genomes 2020-enabling non-vertebrate genomic research.","year":2019,"url":"http://doi.org/10.1093/nar/gkz890","authors":"Howe KL et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz890","created_at":"2021-09-30T08:24:19.787Z","updated_at":"2021-09-30T11:28:56.442Z"},{"id":1657,"pubmed_id":26578574,"title":"Ensembl Genomes 2016: more genomes, more complexity.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1209","authors":"Kersey PJ et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1209","created_at":"2021-09-30T08:25:25.609Z","updated_at":"2021-09-30T11:29:17.737Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1400,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1392,"relation":"undefined"}],"grants":[{"id":8023,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:27.811Z","updated_at":"2021-09-30T09:30:27.857Z","grant_id":723,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"222886-2 / Microme","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2439,"fairsharing_record_id":2386,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:43.860Z","updated_at":"2021-09-30T09:25:43.860Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2441,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:43.931Z","updated_at":"2021-09-30T09:29:14.317Z","grant_id":153,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/H531519/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2438,"fairsharing_record_id":2386,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:25:43.817Z","updated_at":"2021-09-30T09:29:34.377Z","grant_id":306,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"OPPGD1491","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2440,"fairsharing_record_id":2386,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:43.898Z","updated_at":"2021-09-30T09:29:42.038Z","grant_id":364,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"41686 IPGA Gramene","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2442,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:43.966Z","updated_at":"2021-09-30T09:30:13.598Z","grant_id":608,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"228421 / INFRAVEC","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2443,"fairsharing_record_id":2386,"organisation_id":2853,"relation":"funds","created_at":"2021-09-30T09:25:43.998Z","updated_at":"2021-09-30T09:30:35.639Z","grant_id":780,"is_lead":false,"saved_state":{"id":2853,"name":"The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK","grant":"090548/B/09/Z","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7872,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:15.474Z","updated_at":"2021-09-30T09:29:15.515Z","grant_id":162,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/F19793/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7919,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:29:47.592Z","updated_at":"2021-09-30T09:29:47.647Z","grant_id":406,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/I008071/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8192,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:31:25.732Z","updated_at":"2021-09-30T09:31:25.829Z","grant_id":1165,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"42660 / AllBio","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8250,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:44.715Z","updated_at":"2021-09-30T09:31:44.795Z","grant_id":1308,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/KK020102/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8256,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:46.773Z","updated_at":"2021-09-30T09:31:46.828Z","grant_id":1322,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/M018458/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8262,"fairsharing_record_id":2386,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:31:48.682Z","updated_at":"2021-09-30T09:31:48.737Z","grant_id":1337,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"284496 / transPLANT","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8274,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:52.066Z","updated_at":"2021-09-30T09:31:52.121Z","grant_id":1363,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/J00328X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8448,"fairsharing_record_id":2386,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:40.977Z","updated_at":"2021-09-30T09:32:41.032Z","grant_id":1731,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/J017299/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2380","type":"fairsharing_records","attributes":{"created_at":"2017-01-25T09:22:52.000Z","updated_at":"2023-06-23T15:27:08.866Z","metadata":{"doi":"10.25504/FAIRsharing.k4yzh","name":"BCCM/GeneCorner Plasmid Collection","status":"ready","contacts":[{"contact_name":"BCCM/GeneCorner","contact_email":"bccm.genecorner@UGent.be"}],"homepage":"http://www.genecorner.ugent.be/","identifier":2380,"description":"The BCCM/GeneCorner Plasmid Collection warrants the long-term storage and distribution of plasmids, microbial host strains and DNA libraries of fundamental, biotechnological, educational or general scientific importance. The focus is on the collection of recombinant plasmids that can replicate in a microbial host strain. BCCM/GeneCorner also accepts natural and genetically modified animal or human cell lines, including hybridomas, as well as other genetic material, in the safe deposit and patent deposit collections.","abbreviation":"BCCM/GeneCorner","data_curation":{"type":"none"},"year_creation":1977,"data_versioning":"no","associated_tools":[{"url":"http://www.genecorner.ugent.be/sms.html","name":"Sequence Manipulation Suite"},{"url":"http://www.genomecompiler.com/","name":"Genome Compiler"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013667","name":"re3data:r3d100013667","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007193","name":"SciCrunch:RRID:SCR_007193","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.genecorner.ugent.be/Public_Deposit","type":"open","notes":"Plasmids, microbial host strains and DNA libraries can be deposited."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000859","bsg-d000859"],"name":"FAIRsharing record for: BCCM/GeneCorner Plasmid Collection","abbreviation":"BCCM/GeneCorner","url":"https://fairsharing.org/10.25504/FAIRsharing.k4yzh","doi":"10.25504/FAIRsharing.k4yzh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BCCM/GeneCorner Plasmid Collection warrants the long-term storage and distribution of plasmids, microbial host strains and DNA libraries of fundamental, biotechnological, educational or general scientific importance. The focus is on the collection of recombinant plasmids that can replicate in a microbial host strain. BCCM/GeneCorner also accepts natural and genetically modified animal or human cell lines, including hybridomas, as well as other genetic material, in the safe deposit and patent deposit collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Cell line","Hybridoma","Plasmid","Host"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1986,"pubmed_id":27177818,"title":"Generation of a new Gateway-compatible inducible lentiviral vector platform allowing easy derivation of co-transduced cells.","year":2016,"url":"http://doi.org/10.2144/000114417","authors":"De Groote P,Grootjans S,Lippens S,Eichperger C,Leurs K,Kahr I,Tanghe G,Bruggeman I,De Schamphelaire W,Urwyler C,Vandenabeele P,Haustraete J,Declercq W","journal":"Biotechniques","doi":"10.2144/000114417","created_at":"2021-09-30T08:26:03.549Z","updated_at":"2021-09-30T08:26:03.549Z"},{"id":2730,"pubmed_id":25882545,"title":"Role of the Bacterial Type VI Secretion System in the Modulation of Mammalian Host Cell Immunity.","year":2015,"url":"http://doi.org/10.2174/0929867322666150417123744","authors":"De Ceuleneer M,Vanhoucke M,Beyaert R","journal":"Curr Med Chem","doi":"10.2174/0929867322666150417123744","created_at":"2021-09-30T08:27:35.297Z","updated_at":"2021-09-30T08:27:35.297Z"}],"licence_links":[{"licence_name":"BCCM Material Accession Agreement (MAA) F475A","licence_id":61,"licence_url":"http://bccm.belspo.be/services/maa","link_id":209,"relation":"undefined"},{"licence_name":"BCCM Material Transfer Agreement (MTA) 1.4","licence_id":62,"licence_url":"http://bccm.belspo.be/services/mta","link_id":211,"relation":"undefined"}],"grants":[{"id":2417,"fairsharing_record_id":2380,"organisation_id":3183,"relation":"maintains","created_at":"2021-09-30T09:25:43.135Z","updated_at":"2021-09-30T09:25:43.135Z","grant_id":null,"is_lead":false,"saved_state":{"id":3183,"name":"VIB, Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2416,"fairsharing_record_id":2380,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:43.098Z","updated_at":"2021-09-30T09:25:43.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2418,"fairsharing_record_id":2380,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:25:43.176Z","updated_at":"2021-09-30T09:25:43.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2387","type":"fairsharing_records","attributes":{"created_at":"2017-03-13T14:42:38.000Z","updated_at":"2023-06-23T09:38:12.148Z","metadata":{"doi":"10.25504/FAIRsharing.bcdtjc","name":"Enzyme Portal","status":"ready","contacts":[{"contact_name":"General EBI Support","contact_email":"support@ebi.ac.uk","contact_orcid":null}],"homepage":"http://www.ebi.ac.uk/enzymeportal/","citations":[],"identifier":2387,"description":"The Enzyme Portal is for those interested in the biology of enzymes and proteins with enzymatic activity. It integrates publicly available information about enzymes, such as small-molecule chemistry, biochemical pathways and drug compounds. It contains enzyme-related information from resources developed at the EBI, and presents it via a unified user experience. The Enzyme Portal team does not curate enzyme information and therefore is a secondary information resource or portal.","abbreviation":"Enzyme Portal","data_curation":{"url":"https://doi.org/10.1093/protein/gzx008","type":"automated"},"support_links":[{"url":"https://www.ebi.ac.uk/support/index.php?query=Enzyme+portal","name":"Feedback Form","type":"Contact form"},{"url":"https://www.ebi.ac.uk/enzymeportal/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/uniprot/enzymeportal","name":"GitHub Project \u0026 Docs","type":"Github"},{"url":"https://www.ebi.ac.uk/enzymeportal/about","name":"About","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/enzyme-portal-quick-tour","name":"Enzyme Portal: Quick tour","type":"TeSS links to training materials"},{"url":"https://twitter.com/enzymeportal","name":"@enzymeportal","type":"Twitter"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/thornton-srv/transform-miner/","name":"Transform-MinER"},{"url":"https://www.ebi.ac.uk/Tools/services/web/toolform.ebi?tool=ncbiblast\u0026database=enzymeportal","name":"NCBI BLAST+"},{"url":"https://www.ebi.ac.uk/enzymeportal/basket","name":"Compare Enzymes"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/licencing","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/enzymeportal/about","type":"controlled","notes":"Data sourced from other repositories"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000867","bsg-d000867"],"name":"FAIRsharing record for: Enzyme Portal","abbreviation":"Enzyme Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.bcdtjc","doi":"10.25504/FAIRsharing.bcdtjc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Enzyme Portal is for those interested in the biology of enzymes and proteins with enzymatic activity. It integrates publicly available information about enzymes, such as small-molecule chemistry, biochemical pathways and drug compounds. It contains enzyme-related information from resources developed at the EBI, and presents it via a unified user experience. The Enzyme Portal team does not curate enzyme information and therefore is a secondary information resource or portal.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11395},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12183}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Enzymology"],"domains":["Drug","Catalytic activity","Small molecule","Enzyme","Disease","Pathway model"],"taxonomies":["Arabidopsis thaliana","Bacillus subtilis","Bos taurus","Caenorhabditis elegans","Danio rerio","Dictyostelium discoideum","Drosophila melanogaster","Escherichia coli","Homo sapiens","Mus musculus","Mycobacterium tuberculosis","Oryza sativa L. ssp. japonica","Rattus norvegicus","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2053,"pubmed_id":23175605,"title":"The EBI enzyme portal.","year":2012,"url":"http://doi.org/10.1093/nar/gks1112","authors":"Alcantara R,Onwubiko J,Cao H,Matos Pd,Cham JA,Jacobsen J,Holliday GL,Fischer JD,Rahman SA,Jassal B,Goujon M,Rowland F,Velankar S,Lopez R,Overington JP,Kleywegt GJ,Hermjakob H,O'Donovan C,Martin MJ,Thornton JM,Steinbeck C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1112","created_at":"2021-09-30T08:26:11.305Z","updated_at":"2021-09-30T11:29:27.427Z"},{"id":3368,"pubmed_id":null,"title":"An update on the Enzyme Portal: an integrative approach for exploring enzyme knowledge","year":2017,"url":"http://dx.doi.org/10.1093/protein/gzx008","authors":"Pundir, S.; Onwubiko, J.; Zaru, R.; Rosanoff, S.; Antunes, R.; Bingley, M.; Watkins, X.; O'Donovan, C.; Martin, M. J.; ","journal":"Protein Engineering, Design and Selection","doi":"10.1093/protein/gzx008","created_at":"2022-05-18T12:24:29.784Z","updated_at":"2022-05-18T12:24:29.784Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":322,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":323,"relation":"undefined"}],"grants":[{"id":9250,"fairsharing_record_id":2387,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:25.264Z","updated_at":"2022-04-11T12:07:25.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9549,"fairsharing_record_id":2387,"organisation_id":908,"relation":"maintains","created_at":"2022-05-18T12:25:08.228Z","updated_at":"2022-05-18T12:25:08.228Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2427","type":"fairsharing_records","attributes":{"created_at":"2017-04-15T12:11:49.000Z","updated_at":"2022-07-20T12:38:41.992Z","metadata":{"doi":"10.25504/FAIRsharing.ph8fx9","name":"Academic Seismic Portal","status":"deprecated","contacts":[{"contact_name":"Lisa Gahagan","contact_email":"lisa@ig.utexas.edu"}],"homepage":"http://www-udc.ig.utexas.edu/sdc/","identifier":2427,"description":"ASP is an archive of academic active-source seismic data, supported by the National Science Foundation.","abbreviation":"ASP","data_curation":{"type":"not found"},"support_links":[{"url":"http://www-udc.ig.utexas.edu/sdc/how_to_use.htm","type":"Help documentation"}],"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010631","name":"re3data:r3d100010631","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_000403","name":"SciCrunch:RRID:SCR_000403","portal":"SciCrunch"}],"deprecation_date":"2021-9-20","deprecation_reason":"On June 1, 2020, the Academic Seismic Portal repositories at UTIG were merged into a single collection hosted at Lamont-Doherty Earth Observatory. Content at this resource was removed July 1, 2020. (see https://ig.utexas.edu/academic-seismic-portal-at-utig/)","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000909","bsg-d000909"],"name":"FAIRsharing record for: Academic Seismic Portal","abbreviation":"ASP","url":"https://fairsharing.org/10.25504/FAIRsharing.ph8fx9","doi":"10.25504/FAIRsharing.ph8fx9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ASP is an archive of academic active-source seismic data, supported by the National Science Foundation.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geophysics","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"IEDA Terms of Use","licence_id":424,"licence_url":"http://www-udc.ig.utexas.edu/sdc/about/terms_of_use.php","link_id":757,"relation":"undefined"}],"grants":[{"id":7937,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:29:56.235Z","updated_at":"2021-09-30T09:29:56.289Z","grant_id":477,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCE 0826282","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8104,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:58.755Z","updated_at":"2021-09-30T09:30:58.809Z","grant_id":962,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0095307","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2566,"fairsharing_record_id":2427,"organisation_id":1383,"relation":"maintains","created_at":"2021-09-30T09:25:48.005Z","updated_at":"2021-09-30T09:25:48.005Z","grant_id":null,"is_lead":false,"saved_state":{"id":1383,"name":"Institute for Geophysics, University of Texas at Austin, Austin, TX, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2567,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:48.042Z","updated_at":"2021-09-30T09:29:10.910Z","grant_id":128,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0326821","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8372,"fairsharing_record_id":2427,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:18.742Z","updated_at":"2021-09-30T09:32:18.788Z","grant_id":1561,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"0326679","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2428","type":"fairsharing_records","attributes":{"created_at":"2017-04-17T15:38:22.000Z","updated_at":"2023-12-15T10:32:53.910Z","metadata":{"doi":"10.25504/FAIRsharing.csr989","name":"Met Office Hadley Centre Observations Dataset","status":"ready","contacts":[{"contact_name":"Colin Morice","contact_email":"colin.morice@metoffice.gov.uk"}],"homepage":"http://www.metoffice.gov.uk/hadobs/index.html","identifier":2428,"description":"HadCRUT4 is a gridded dataset of global historical surface temperature anomalies relative to a 1961-1990 reference period. Data are available for each month since January 1850, on a 5 degree grid. The dataset is a collaborative product of the Met Office Hadley Centre and the Climatic Research Unit at the University of East Anglia.","abbreviation":"HadCRUT4","data_curation":{"type":"none"},"support_links":[{"url":"http://www.metoffice.gov.uk/hadobs/hadcrut4/faq.html","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.metoffice.gov.uk/hadobs/hadcrut4/diagrams.html","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000910","bsg-d000910"],"name":"FAIRsharing record for: Met Office Hadley Centre Observations Dataset","abbreviation":"HadCRUT4","url":"https://fairsharing.org/10.25504/FAIRsharing.csr989","doi":"10.25504/FAIRsharing.csr989","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HadCRUT4 is a gridded dataset of global historical surface temperature anomalies relative to a 1961-1990 reference period. Data are available for each month since January 1850, on a 5 degree grid. The dataset is a collaborative product of the Met Office Hadley Centre and the Climatic Research Unit at the University of East Anglia.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1509,"pubmed_id":null,"title":"Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 data set","year":2012,"url":"http://doi.org/10.1029/2011JD017187","authors":"Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones","journal":"Journal of Geophysical Research","doi":"10.1029/2011JD017187","created_at":"2021-09-30T08:25:08.936Z","updated_at":"2021-09-30T08:25:08.936Z"}],"licence_links":[{"licence_name":"UK Met Office HadCRUT4: Terms and Conditions","licence_id":808,"licence_url":"http://www.metoffice.gov.uk/hadobs/hadcrut4/terms_and_conditions.html","link_id":993,"relation":"undefined"}],"grants":[{"id":2568,"fairsharing_record_id":2428,"organisation_id":3050,"relation":"maintains","created_at":"2021-09-30T09:25:48.075Z","updated_at":"2021-09-30T09:25:48.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":3050,"name":"University of East Anglia, Climatic Research Unit, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2569,"fairsharing_record_id":2428,"organisation_id":1823,"relation":"maintains","created_at":"2021-09-30T09:25:48.099Z","updated_at":"2021-09-30T09:25:48.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":1823,"name":"Met Office, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2429","type":"fairsharing_records","attributes":{"created_at":"2017-04-17T16:14:44.000Z","updated_at":"2023-12-15T10:31:45.775Z","metadata":{"doi":"10.25504/FAIRsharing.k9vqye","name":"National Snow and Ice Data Center Data Portal","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"nsidc@nsidc.org"}],"homepage":"http://nsidc.org/data/","citations":[],"identifier":2429,"description":"The National Snow and Ice Data Center (NSIDC) contains data on the cryosphere, which includes snow, ice, glaciers, frozen ground, and climate interactions. NSIDC manages and distributes scientific data, creates tools for data access, supports data users, performs scientific research, and educates the public about the cryosphere. Data are from satellites and field observations, and are from NASA, NSF, NOAA, and other programs. All data are available free of charge.","abbreviation":"NSIDC","data_curation":{"url":"https://nsidc.org/data/submit-data/submit-nasa-data-nsidc-daac","type":"manual/automated","notes":"NASA DAACs are discipline-specific repositories providing expert curation of data and metadata."},"support_links":[{"url":"https://nsidc.org/about/contact.html","name":"Contact Information","type":"Contact form"},{"url":"http://nsidc.org/cryosphere/icelights/","name":"General Cryosphere FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://nsidc.org/the-drift/data-update/","name":"Data Announcements","type":"Forum"},{"url":"https://nsidc.org/data/support","name":"Help Center","type":"Help documentation"},{"url":"https://nsidc.org/about/overview","name":"About","type":"Help documentation"}],"year_creation":1982,"data_versioning":"yes","associated_tools":[{"url":"https://nsidc.org/data/tools/analysis-and-imaging","name":"Data Analysis and Imaging Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010110","name":"re3data:r3d100010110","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002220","name":"SciCrunch:RRID:SCR_002220","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://nsidc.org/data/submit-data","type":"controlled","notes":"NASA-funded data can be hosted."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000911","bsg-d000911"],"name":"FAIRsharing record for: National Snow and Ice Data Center Data Portal","abbreviation":"NSIDC","url":"https://fairsharing.org/10.25504/FAIRsharing.k9vqye","doi":"10.25504/FAIRsharing.k9vqye","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Snow and Ice Data Center (NSIDC) contains data on the cryosphere, which includes snow, ice, glaciers, frozen ground, and climate interactions. NSIDC manages and distributes scientific data, creates tools for data access, supports data users, performs scientific research, and educates the public about the cryosphere. Data are from satellites and field observations, and are from NASA, NSF, NOAA, and other programs. All data are available free of charge.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Cryosphere"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1469,"relation":"undefined"},{"licence_name":"NSIDC Data Policies","licence_id":602,"licence_url":"https://nsidc.org/about/policies","link_id":1467,"relation":"undefined"},{"licence_name":"NSIDC Use and Copyright","licence_id":603,"licence_url":"https://nsidc.org/about/use_copyright.html","link_id":1001,"relation":"undefined"}],"grants":[{"id":2572,"fairsharing_record_id":2429,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:48.196Z","updated_at":"2021-09-30T09:25:48.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2570,"fairsharing_record_id":2429,"organisation_id":609,"relation":"maintains","created_at":"2021-09-30T09:25:48.124Z","updated_at":"2021-09-30T09:25:48.124Z","grant_id":null,"is_lead":true,"saved_state":{"id":609,"name":"Cooperative Institute for Research in Environmental Science, University of Colorado Boulder, Boulder, CO, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2571,"fairsharing_record_id":2429,"organisation_id":2056,"relation":"funds","created_at":"2021-09-30T09:25:48.154Z","updated_at":"2021-09-30T09:25:48.154Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2573,"fairsharing_record_id":2429,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:48.238Z","updated_at":"2021-09-30T09:25:48.238Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2431","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T09:26:30.000Z","updated_at":"2023-12-15T10:32:22.454Z","metadata":{"doi":"10.25504/FAIRsharing.e7skc6","name":"NASA Data Portal","status":"ready","contacts":[{"contact_name":"Jason Dudley","contact_email":"jason.duley@nasa.gov"}],"homepage":"https://data.nasa.gov","identifier":2431,"description":"NASA's publicly available data sets and resources.","abbreviation":"NASA Data Portal","data_curation":{"type":"none"},"support_links":[{"url":"nasa-data@lists.arc.nasa.gov","type":"Support email"},{"url":"https://twitter.com/NASA","type":"Twitter"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011758","name":"re3data:r3d100011758","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000913","bsg-d000913"],"name":"FAIRsharing record for: NASA Data Portal","abbreviation":"NASA Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.e7skc6","doi":"10.25504/FAIRsharing.e7skc6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NASA's publicly available data sets and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":1109,"relation":"undefined"}],"grants":[{"id":2576,"fairsharing_record_id":2431,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:48.345Z","updated_at":"2021-09-30T09:25:48.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2432","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T09:50:39.000Z","updated_at":"2021-11-24T13:16:37.891Z","metadata":{"doi":"10.25504/FAIRsharing.56399h","name":"NCAR Community Data Portal","status":"deprecated","contacts":[{"contact_name":"General Information","contact_email":"cdp@ucar.edu"}],"homepage":"http://cdp.ucar.edu","identifier":2432,"description":"The Community Data Portal (CDP) is a collection of earth science datasets from NCAR, UCAR, UOP, and participating organizations.","abbreviation":"CDP","data_curation":{"type":"not found"},"support_links":[{"url":"http://cdp.ucar.edu/support/","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2018-02-27","deprecation_reason":"The Community Data Portal (CDP) has been retired after nearly 15 years of service and is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000914","bsg-d000914"],"name":"FAIRsharing record for: NCAR Community Data Portal","abbreviation":"CDP","url":"https://fairsharing.org/10.25504/FAIRsharing.56399h","doi":"10.25504/FAIRsharing.56399h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Community Data Portal (CDP) is a collection of earth science datasets from NCAR, UCAR, UOP, and participating organizations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UCAR Community Data Portal Privacy Policy","licence_id":795,"licence_url":"http://cdp.ucar.edu/forward.htm?forward=/home/privacy_policy.htm","link_id":995,"relation":"undefined"},{"licence_name":"UCAR Community Data Portal Terms of Use","licence_id":796,"licence_url":"http://cdp.ucar.edu/forward.htm?forward=/home/terms_of_use.htm","link_id":996,"relation":"undefined"}],"grants":[{"id":2578,"fairsharing_record_id":2432,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:48.426Z","updated_at":"2021-09-30T09:25:48.426Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2577,"fairsharing_record_id":2432,"organisation_id":1957,"relation":"maintains","created_at":"2021-09-30T09:25:48.389Z","updated_at":"2021-09-30T09:25:48.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":1957,"name":"National Center for Atmospheric Research (NCAR), Boulder, CO, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2579,"fairsharing_record_id":2432,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:48.459Z","updated_at":"2021-09-30T09:25:48.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2580,"fairsharing_record_id":2432,"organisation_id":574,"relation":"maintains","created_at":"2021-09-30T09:25:48.564Z","updated_at":"2021-09-30T09:25:48.564Z","grant_id":null,"is_lead":false,"saved_state":{"id":574,"name":"Computational and Information Systems Lab (CISL), USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2438","type":"fairsharing_records","attributes":{"created_at":"2017-04-19T11:11:53.000Z","updated_at":"2023-06-23T11:30:01.203Z","metadata":{"doi":"10.25504/FAIRsharing.3nm6zq","name":"UNAVCO Data","status":"ready","contacts":[{"contact_name":"General Information","contact_email":"data@unavco.org"}],"homepage":"https://www.unavco.org/data/data.html","citations":[],"identifier":2438,"description":"UNAVCO provides access to data that the community of geodetic scientists can use for quantifying the motions of rock, ice and water that are monitored by a variety of sensor types at or near the Earth's surface. The data types include GPS/GNSS, imaging data such as from SAR and TLS, strain and seismic borehole data, and meteorological data. Most of these can be accessed via web services. In addition, GPS/GNSS datasets, TLS datasets, and InSAR products are assigned digital object identifiers.","abbreviation":"UNAVCO Data","data_curation":{"url":"https://www.unavco.org/data/data-help/about-data/about-data.html","type":"automated","notes":"Data management and archiving (distribution and curation) is part of the data treatment flow."},"support_links":[{"url":"https://www.unavco.org/news/news-feed/","name":"News","type":"Blog/News"},{"url":"https://www.unavco.org/data/data-help/data-help.html","name":"Data Help","type":"Help documentation"},{"url":"https://www.unavco.org/data/gps-gnss/ftp/ftp.html","name":"FTP Server Layout","type":"Help documentation"},{"url":"https://www.unavco.org/data/data-help/about-data/about-data.html","name":"About","type":"Help documentation"},{"url":"https://twitter.com/UNAVCO","name":"@UNAVCO","type":"Twitter"}],"year_creation":1984,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010872","name":"re3data:r3d100010872","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006706","name":"SciCrunch:RRID:SCR_006706","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.unavco.org/data/data-help/custom-data-request/custom-data-request.html","type":"open","notes":"Some data are only available via special request."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.unavco.org/data/data-help/submission/submission.html","type":"controlled","notes":"Specific timings must be respected for data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000920","bsg-d000920"],"name":"FAIRsharing record for: UNAVCO Data","abbreviation":"UNAVCO Data","url":"https://fairsharing.org/10.25504/FAIRsharing.3nm6zq","doi":"10.25504/FAIRsharing.3nm6zq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UNAVCO provides access to data that the community of geodetic scientists can use for quantifying the motions of rock, ice and water that are monitored by a variety of sensor types at or near the Earth's surface. The data types include GPS/GNSS, imaging data such as from SAR and TLS, strain and seismic borehole data, and meteorological data. Most of these can be accessed via web services. In addition, GPS/GNSS datasets, TLS datasets, and InSAR products are assigned digital object identifiers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Geology","Geodesy","Earth Science"],"domains":["Geographical location","Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":["Geological mapping","Global Positioning System","Troposphere"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UNAVCO Data Attribution Policy","licence_id":813,"licence_url":"https://www.unavco.org/community/policies_forms/attribution/attribution.html","link_id":1983,"relation":"undefined"},{"licence_name":"UNAVCO Data Policy","licence_id":814,"licence_url":"http://www.unavco.org/community/policies_forms/data-policy/data-policy.html","link_id":1982,"relation":"undefined"}],"grants":[{"id":2597,"fairsharing_record_id":2438,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.221Z","updated_at":"2021-09-30T09:25:49.221Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2596,"fairsharing_record_id":2438,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:49.181Z","updated_at":"2021-09-30T09:25:49.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2598,"fairsharing_record_id":2438,"organisation_id":2910,"relation":"maintains","created_at":"2021-09-30T09:25:49.259Z","updated_at":"2021-09-30T09:25:49.259Z","grant_id":null,"is_lead":true,"saved_state":{"id":2910,"name":"UNAVCO","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2439","type":"fairsharing_records","attributes":{"created_at":"2017-04-19T15:45:15.000Z","updated_at":"2024-03-20T13:12:27.327Z","metadata":{"doi":"10.25504/FAIRsharing.srgkaf","name":"Hardwood Genomics Project","status":"deprecated","contacts":[],"homepage":"http://www.hardwoodgenomics.org/","citations":[],"identifier":2439,"description":"The Hardwood Genomics Project is a databases for expressed genes, genetic markers, genetic linkage maps, and reference populations. It provides lasting genomic and biological resources for the discovery and conservation of genes in hardwood trees for growth, adaptation and responses to environmental stresses such as drought, heat, insect pests and disease. All original sequence data is being deposited in NCBI's Sequence Read Archive and the genetic linkage maps and associated marker data will be available at the Dendrome database.","abbreviation":"HWG","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hardwoodgenomics.org/contact","type":"Contact form"},{"url":"http://www.hardwoodgenomics.org/content/about","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","associated_tools":[{"url":"http://www.hardwoodgenomics.org/content/expression-visualization","name":"Expression Visualization"},{"url":"http://www.hardwoodgenomics.org/blast","name":"BLAST Search"},{"url":"http://www.hardwoodgenomics.org/wa2app/jbrowse/index.html?organism=19","name":"JBrowse - Chinese Chesnut"},{"url":"http://www.hardwoodgenomics.org/wa2app/jbrowse/index.html?organism=231202","name":"JBrowse - English Walnut"},{"url":"http://www.hardwoodgenomics.org/elastic_search","name":"Transcript Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012351","name":"re3data:r3d100012351","portal":"re3data"}],"deprecation_date":"2024-03-20","deprecation_reason":"This resource's functionality has been moved to TreeGenes.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000921","bsg-d000921"],"name":"FAIRsharing record for: Hardwood Genomics Project","abbreviation":"HWG","url":"https://fairsharing.org/10.25504/FAIRsharing.srgkaf","doi":"10.25504/FAIRsharing.srgkaf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hardwood Genomics Project is a databases for expressed genes, genetic markers, genetic linkage maps, and reference populations. It provides lasting genomic and biological resources for the discovery and conservation of genes in hardwood trees for growth, adaptation and responses to environmental stresses such as drought, heat, insect pests and disease. All original sequence data is being deposited in NCBI's Sequence Read Archive and the genetic linkage maps and associated marker data will be available at the Dendrome database.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11500},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11623}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Genetic map","Genome map","Expression data","Nucleic acid sequence"],"taxonomies":["Acer saccharum","Alnus rhombifolia","Alnus rubra","Castanea crenata","Castanea dentata","Castanea mollissima","Castanea sativa","Cornus florida","Fagus grandifolia","Fraxinus americana","Fraxinus pennsylvanica","Gleditsia triacanthos","Hydrangea macrophylla","Juglans nigra","Juglans regia","Liquidambar styraciflua","Liriodendron tulipifera","Nyssa sylvatica","Persea borbonia","Prunus serotina","Quercus alba","Quercus robur","Quercus rubra"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":8393,"fairsharing_record_id":2439,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:26.227Z","updated_at":"2021-09-30T09:32:26.281Z","grant_id":1619,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1444573","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2599,"fairsharing_record_id":2439,"organisation_id":3136,"relation":"maintains","created_at":"2021-09-30T09:25:49.296Z","updated_at":"2021-09-30T09:25:49.296Z","grant_id":null,"is_lead":false,"saved_state":{"id":3136,"name":"University of Tennessee, Knoxville Department of Entomology and Plant Pathology","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2600,"fairsharing_record_id":2439,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.325Z","updated_at":"2021-09-30T09:29:58.466Z","grant_id":494,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1443040","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8231,"fairsharing_record_id":2439,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:39.207Z","updated_at":"2021-09-30T09:31:39.261Z","grant_id":1268,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1025974","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2435","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T19:44:24.000Z","updated_at":"2023-06-23T15:38:03.792Z","metadata":{"doi":"10.25504/FAIRsharing.a833sq","name":"Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"uso@daac.ornl.gov"}],"homepage":"https://daac.ornl.gov","citations":[],"identifier":2435,"description":"The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) mission is to assemble, distribute, and provide data services for a comprehensive archive of terrestrial biogeochemistry and ecological dynamics observations and models to facilitate research, education, and decision-making in support of NASA’s Earth science. The ORNL DAAC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","abbreviation":"ORNL DAAC for Biogeochemical Dynamics","data_curation":{"type":"not found"},"support_links":[{"url":"https://daac-news.ornl.gov/","name":"News","type":"Blog/News"},{"url":"https://daac.ornl.gov/help.shtml","name":"ORNL DAAC Help","type":"Help documentation"},{"url":"https://daac.ornl.gov/datamanagement/","name":"Data Management Guidance","type":"Help documentation"},{"url":"https://daac.ornl.gov/resources/learning/","name":"Learning Resources","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"https://daac.ornl.gov/tools/","name":"List of related tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100000037","name":"re3data:r3d100000037","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://daac.ornl.gov/submit/","type":"controlled","notes":"The data producer must submit an online form to request the acceptance of data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000917","bsg-d000917"],"name":"FAIRsharing record for: Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics","abbreviation":"ORNL DAAC for Biogeochemical Dynamics","url":"https://fairsharing.org/10.25504/FAIRsharing.a833sq","doi":"10.25504/FAIRsharing.a833sq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) mission is to assemble, distribute, and provide data services for a comprehensive archive of terrestrial biogeochemistry and ecological dynamics observations and models to facilitate research, education, and decision-making in support of NASA’s Earth science. The ORNL DAAC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Soil Science","Environmental Science","Forest Management","Ecology","Natural Science","Earth Science","Hydrology"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Cryosphere","Fire Research","Satellite Data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":2175,"relation":"undefined"},{"licence_name":"NIF - SciCrunch Privacy Policy","licence_id":580,"licence_url":"https://neuinfo.org/page/privacy","link_id":2174,"relation":"undefined"}],"grants":[{"id":2589,"fairsharing_record_id":2435,"organisation_id":808,"relation":"maintains","created_at":"2021-09-30T09:25:48.868Z","updated_at":"2021-09-30T09:25:48.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":808,"name":"Earth Science Data and Information System Project (ESDIS), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2587,"fairsharing_record_id":2435,"organisation_id":809,"relation":"maintains","created_at":"2021-09-30T09:25:48.788Z","updated_at":"2021-09-30T09:25:48.788Z","grant_id":null,"is_lead":false,"saved_state":{"id":809,"name":"Earth Science Data Systems (ESDS) Program, Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2588,"fairsharing_record_id":2435,"organisation_id":806,"relation":"maintains","created_at":"2021-09-30T09:25:48.830Z","updated_at":"2021-09-30T09:25:48.830Z","grant_id":null,"is_lead":false,"saved_state":{"id":806,"name":"Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2590,"fairsharing_record_id":2435,"organisation_id":2204,"relation":"maintains","created_at":"2021-09-30T09:25:48.901Z","updated_at":"2021-09-30T09:25:48.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":2204,"name":"Oak Ridge National Laboratory, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2437","type":"fairsharing_records","attributes":{"created_at":"2017-04-19T10:20:30.000Z","updated_at":"2023-12-15T10:30:51.650Z","metadata":{"doi":"10.25504/FAIRsharing.88wme4","name":"OpenTopography","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@opentopography.org"}],"homepage":"https://www.opentopography.org","citations":[],"identifier":2437,"description":"The National Science Foundation funded OpenTopography facilitates community access to high-resolution, Earth science-oriented, topography data, and related tools and resources.","abbreviation":"OpenTopography","data_curation":{"url":"https://opentopography.org/data/contribute","type":"manual"},"support_links":[{"url":"http://www.opentopography.org/blog","type":"Blog/News"},{"url":"https://www.opentopography.org/contact","name":"Contact","type":"Contact form"},{"url":"http://www.opentopography.org/faq-page","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.opentopography.org/start","name":"Getting Started","type":"Help documentation"},{"url":"https://www.opentopography.org/learn/onlinetraining","name":"Online Training","type":"Training documentation"},{"url":"https://twitter.com/OpenTopography","name":"Twitter","type":"Twitter"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://opentopography.org/otsoftware","name":"OpenTopography Open Source Software"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010655","name":"re3data:r3d100010655","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002204","name":"SciCrunch:RRID:SCR_002204","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://opentopography.org/data/contribute","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000919","bsg-d000919"],"name":"FAIRsharing record for: OpenTopography","abbreviation":"OpenTopography","url":"https://fairsharing.org/10.25504/FAIRsharing.88wme4","doi":"10.25504/FAIRsharing.88wme4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Science Foundation funded OpenTopography facilitates community access to high-resolution, Earth science-oriented, topography data, and related tools and resources.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Bathymetry"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Bathymetry","lidar","Structure From Motion","Topography"],"countries":["United States"],"publications":[{"id":3070,"pubmed_id":null,"title":"Zero to a trillion: Advancing Earth surface process studies with open access to high-resolution topography","year":2020,"url":"https://doi.org/10.1016/B978-0-444-64177-9.00011-4","authors":"Christopher J. Crosby, J. Ramón Arrowsmith, Viswanath Nandigam","journal":"Developments in Earth Surface Processes","doi":null,"created_at":"2021-09-30T08:28:18.317Z","updated_at":"2021-09-30T08:28:18.317Z"}],"licence_links":[{"licence_name":"Open Topography Privacy Policy","licence_id":634,"licence_url":"http://www.opentopography.org/privacypolicy","link_id":2177,"relation":"undefined"},{"licence_name":"Open Topography Terms of Use","licence_id":635,"licence_url":"http://www.opentopography.org/usageterms","link_id":2178,"relation":"undefined"}],"grants":[{"id":2594,"fairsharing_record_id":2437,"organisation_id":2910,"relation":"maintains","created_at":"2021-09-30T09:25:49.097Z","updated_at":"2021-09-30T09:25:49.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":2910,"name":"UNAVCO","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8014,"fairsharing_record_id":2437,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:23.627Z","updated_at":"2021-09-30T09:30:23.679Z","grant_id":692,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948997","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2592,"fairsharing_record_id":2437,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:25:48.976Z","updated_at":"2021-09-30T09:25:48.976Z","grant_id":null,"is_lead":true,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2595,"fairsharing_record_id":2437,"organisation_id":114,"relation":"maintains","created_at":"2021-09-30T09:25:49.139Z","updated_at":"2021-09-30T09:25:49.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2593,"fairsharing_record_id":2437,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.009Z","updated_at":"2021-09-30T09:28:57.694Z","grant_id":32,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948857","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7979,"fairsharing_record_id":2437,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:13.783Z","updated_at":"2021-09-30T09:30:13.826Z","grant_id":610,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948994","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2417","type":"fairsharing_records","attributes":{"created_at":"2017-04-07T19:50:47.000Z","updated_at":"2023-12-15T10:31:08.982Z","metadata":{"doi":"10.25504/FAIRsharing.xj7m8y","name":"Natural Environmental Research Council Data Catalogue Service","status":"ready","contacts":[{"contact_name":"NERC Environmental Data Service","contact_email":"data@nerc.ukri.org","contact_orcid":null}],"homepage":"https://data-search.nerc.ac.uk/geonetwork/srv/ger/catalog.search#/home","citations":[],"identifier":2417,"description":"A compendium of the United Kingdom's largest repository of Environmental and Earth Science data.","abbreviation":"NERC Data Catalogue Service","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NERCscience","name":"@NERCscience","type":"Twitter"},{"url":"data@nerc.ukri.org.uk","name":"NERC Environmental Data Service Help Desk","type":"Support email"},{"url":"https://eds.ukri.org/services/support","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010558","name":"re3data:r3d100010558","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000899","bsg-d000899"],"name":"FAIRsharing record for: Natural Environmental Research Council Data Catalogue Service","abbreviation":"NERC Data Catalogue Service","url":"https://fairsharing.org/10.25504/FAIRsharing.xj7m8y","doi":"10.25504/FAIRsharing.xj7m8y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A compendium of the United Kingdom's largest repository of Environmental and Earth Science data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Meteorology","Earth Science","Atmospheric Science","Oceanography","Hydrology"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Cryosphere"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"NERC Terms and Conditions","licence_id":571,"licence_url":"http://www.nerc.ac.uk/site/terms/","link_id":1502,"relation":"undefined"}],"grants":[{"id":2542,"fairsharing_record_id":2417,"organisation_id":462,"relation":"maintains","created_at":"2021-09-30T09:25:47.158Z","updated_at":"2022-04-26T10:50:16.693Z","grant_id":null,"is_lead":false,"saved_state":{"id":462,"name":"Centre for Environmental Data Analysis (CEDA)","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2541,"fairsharing_record_id":2417,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:47.121Z","updated_at":"2021-09-30T09:25:47.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9267,"fairsharing_record_id":2417,"organisation_id":2902,"relation":"funds","created_at":"2022-04-11T12:07:26.591Z","updated_at":"2022-04-11T12:07:26.591Z","grant_id":null,"is_lead":false,"saved_state":{"id":2902,"name":"UK Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9460,"fairsharing_record_id":2417,"organisation_id":3488,"relation":"maintains","created_at":"2022-04-26T10:50:16.623Z","updated_at":"2022-04-26T10:50:16.623Z","grant_id":null,"is_lead":true,"saved_state":{"id":3488,"name":"NERC Environmental Data Service","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYTA9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e37a69468ae36c5bb3afe91b8281d797fa88fa1a/eds_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2418","type":"fairsharing_records","attributes":{"created_at":"2017-04-12T20:03:25.000Z","updated_at":"2023-12-15T10:32:23.485Z","metadata":{"doi":"10.25504/FAIRsharing.6cdn9x","name":"Earthref.org","status":"ready","contacts":[{"contact_name":"Hubert Staudigel","contact_email":"hstaudigel@ucsd.edu"}],"homepage":"https://earthref.org","identifier":2418,"description":"Earthref.org is a compilation of of databases, networks and repositories for data and models on Earth science. This internet resource supports the quantitative understanding of the Earth as a chemical, physical and biological system.","abbreviation":"Earthref.org","data_curation":{"url":"https://www2.earthref.org/MagIC/contact","type":"manual"},"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www2.earthref.org/MagIC/upload","type":"open","notes":"Data can be uploaded from a private workplace."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000900","bsg-d000900"],"name":"FAIRsharing record for: Earthref.org","abbreviation":"Earthref.org","url":"https://fairsharing.org/10.25504/FAIRsharing.6cdn9x","doi":"10.25504/FAIRsharing.6cdn9x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Earthref.org is a compilation of of databases, networks and repositories for data and models on Earth science. This internet resource supports the quantitative understanding of the Earth as a chemical, physical and biological system.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":384,"relation":"undefined"}],"grants":[{"id":2543,"fairsharing_record_id":2418,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.196Z","updated_at":"2021-09-30T09:32:25.987Z","grant_id":1617,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR 0000998","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2544,"fairsharing_record_id":2418,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:25:47.234Z","updated_at":"2021-09-30T09:25:47.234Z","grant_id":null,"is_lead":false,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2545,"fairsharing_record_id":2418,"organisation_id":2530,"relation":"maintains","created_at":"2021-09-30T09:25:47.271Z","updated_at":"2021-09-30T09:25:47.271Z","grant_id":null,"is_lead":false,"saved_state":{"id":2530,"name":"Scripps Institution of Oceanography, University of California San Diego, US","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2546,"fairsharing_record_id":2418,"organisation_id":555,"relation":"maintains","created_at":"2021-09-30T09:25:47.310Z","updated_at":"2021-09-30T09:25:47.310Z","grant_id":null,"is_lead":false,"saved_state":{"id":555,"name":"College of Earth, Ocean and Atmospheric Science, Oregon State University, Corvallis, OR, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2419","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T12:03:41.000Z","updated_at":"2022-12-23T14:15:28.402Z","metadata":{"doi":"10.25504/FAIRsharing.j1eyq2","name":"mentha","status":"deprecated","contacts":[{"contact_name":"Alberto Calderone","contact_email":"sinnefa@gmail.com"}],"homepage":"http://mentha.uniroma2.it/","citations":[],"identifier":2419,"description":"mentha archives evidence collected from different sources and presents these data in a complete and comprehensive way. Its data comes from manually curated protein-protein interaction databases that have adhered to the IMEx consortium. The aggregated data forms an interactome which includes many organisms. mentha is a resource that offers a series of tools to analyse selected proteins in the context of a network of interactions.","abbreviation":"mentha","data_curation":{},"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://mentha.uniroma2.it/beta-tools/index.php","name":"mentha tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011124","name":"re3data:r3d100011124","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_016148","name":"SciCrunch:RRID:SCR_016148","portal":"SciCrunch"}],"deprecation_date":"2022-12-23","deprecation_reason":"Homepage message : Mentha is temporarily undergoing maintenance. Data might not be up to date. Please visit MINT or our new database Signor","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000901","bsg-d000901"],"name":"FAIRsharing record for: mentha","abbreviation":"mentha","url":"https://fairsharing.org/10.25504/FAIRsharing.j1eyq2","doi":"10.25504/FAIRsharing.j1eyq2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: mentha archives evidence collected from different sources and presents these data in a complete and comprehensive way. Its data comes from manually curated protein-protein interaction databases that have adhered to the IMEx consortium. The aggregated data forms an interactome which includes many organisms. mentha is a resource that offers a series of tools to analyse selected proteins in the context of a network of interactions.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Proteomics"],"domains":["Protein domain","Protein interaction","Molecular interaction"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":1507,"pubmed_id":23900247,"title":"mentha: a resource for browsing integrated protein-interaction networks.","year":2013,"url":"http://doi.org/10.1038/nmeth.2561","authors":"Calderone A, Castagnoli L, Cesareni G.","journal":"Nat Methods","doi":"10.1038/nmeth.2561","created_at":"2021-09-30T08:25:08.703Z","updated_at":"2021-09-30T08:25:08.703Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2443","type":"fairsharing_records","attributes":{"created_at":"2017-04-21T11:16:10.000Z","updated_at":"2023-12-15T10:31:19.821Z","metadata":{"doi":"10.25504/FAIRsharing.86302v","name":"British Geological Survey GeoScenic","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"enquiries@bgs.ac.uk"}],"homepage":"http://geoscenic.bgs.ac.uk/asset-bank/action/viewHome","citations":[],"identifier":2443,"description":"A national archive of geological photographs freely available to the public.","abbreviation":"BGS GeoScenic","data_curation":{"type":"none"},"support_links":[{"url":"https://support.assetbank.co.uk/hc/en-gb","name":"Support","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010410","name":"re3data:r3d100010410","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000925","bsg-d000925"],"name":"FAIRsharing record for: British Geological Survey GeoScenic","abbreviation":"BGS GeoScenic","url":"https://fairsharing.org/10.25504/FAIRsharing.86302v","doi":"10.25504/FAIRsharing.86302v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A national archive of geological photographs freely available to the public.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BGS Privacy Policy","licence_id":72,"licence_url":"http://www.bgs.ac.uk/help/privacy.html","link_id":1401,"relation":"undefined"},{"licence_name":"Geoscenic Terms and Conditions","licence_id":338,"licence_url":"http://geoscenic.bgs.ac.uk/asset-bank/action/viewConditions","link_id":1416,"relation":"undefined"}],"grants":[{"id":2606,"fairsharing_record_id":2443,"organisation_id":315,"relation":"maintains","created_at":"2021-09-30T09:25:49.514Z","updated_at":"2021-09-30T09:25:49.514Z","grant_id":null,"is_lead":false,"saved_state":{"id":315,"name":"British Geological Survey","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2444","type":"fairsharing_records","attributes":{"created_at":"2017-04-21T11:50:46.000Z","updated_at":"2022-07-20T12:36:14.418Z","metadata":{"doi":"10.25504/FAIRsharing.eacagy","name":"NERC British Atmospheric Data Centre Data Archive","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"support@ceda.ac.uk"}],"homepage":"https://badc.nerc.ac.uk/home/index.html","identifier":2444,"description":"The British Atmospheric Data Centre (BADC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Atmospheric Sciences. The role of the BADC is to assist UK atmospheric researchers to locate, access and interpret atmospheric data and to ensure the long-term integrity of atmospheric data produced by NERC projects.","abbreviation":"BADC","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"}],"data_versioning":"not found","deprecation_date":"2019-06-12","deprecation_reason":"Since November 2016, the functions of the British Atmospheric Data Centre (BADC) and the NERC Earth Observation Data Centre (NEODC) data centres are operated by the CEDA Archive (http://www.ceda.ac.uk/data-centres/).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000926","bsg-d000926"],"name":"FAIRsharing record for: NERC British Atmospheric Data Centre Data Archive","abbreviation":"BADC","url":"https://fairsharing.org/10.25504/FAIRsharing.eacagy","doi":"10.25504/FAIRsharing.eacagy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The British Atmospheric Data Centre (BADC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Atmospheric Sciences. The role of the BADC is to assist UK atmospheric researchers to locate, access and interpret atmospheric data and to ensure the long-term integrity of atmospheric data produced by NERC projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":2607,"fairsharing_record_id":2444,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:49.555Z","updated_at":"2021-09-30T09:25:49.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2608,"fairsharing_record_id":2444,"organisation_id":2519,"relation":"maintains","created_at":"2021-09-30T09:25:49.594Z","updated_at":"2021-09-30T09:25:49.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2421","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T17:13:33.000Z","updated_at":"2023-12-15T10:31:10.940Z","metadata":{"doi":"10.25504/FAIRsharing.yfk79s","name":"Fluxdata","status":"ready","contacts":[{"contact_name":"General Support","contact_email":"fluxdata-support@fluxdata.org"}],"homepage":"https://fluxnet.org/","citations":[],"identifier":2421,"description":"A data portal for the Fluxnet community across the globe which supports the access to and sharing of data on the eddy covariance flux measurements of carbon, water vapor and energy exchange.","abbreviation":"Fluxdata","data_curation":{"type":"none"},"support_links":[{"url":"http://fluxnet.fluxdata.org/community/blog/","type":"Blog/News"}],"year_creation":1997,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011506","name":"re3data:r3d100011506","portal":"re3data"}],"data_access_condition":{"url":"https://fluxnet.org/login/?redirect_to=/data/download-data/","type":"open","notes":"Registration required"},"data_contact_information":"not found","data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000903","bsg-d000903"],"name":"FAIRsharing record for: Fluxdata","abbreviation":"Fluxdata","url":"https://fairsharing.org/10.25504/FAIRsharing.yfk79s","doi":"10.25504/FAIRsharing.yfk79s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A data portal for the Fluxnet community across the globe which supports the access to and sharing of data on the eddy covariance flux measurements of carbon, water vapor and energy exchange.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Australia","Brazil","Canada","China","United States","European Union"],"publications":[{"id":1520,"pubmed_id":28066093,"title":"On the energy balance closure and net radiation in complex terrain.","year":2017,"url":"http://doi.org/10.1016/j.agrformet.2016.05.012","authors":"Wohlfahrt G,Hammerle A,Niedrist G,Scholz K,Tomelleri E,Zhao P","journal":"Agric For Meteorol","doi":"10.1016/j.agrformet.2016.05.012","created_at":"2021-09-30T08:25:10.168Z","updated_at":"2021-09-30T08:25:10.168Z"}],"licence_links":[{"licence_name":"FLUXNET2015 Data Policy","licence_id":319,"licence_url":"http://fluxnet.fluxdata.org/data/data-policy/","link_id":975,"relation":"undefined"}],"grants":[{"id":2551,"fairsharing_record_id":2421,"organisation_id":1691,"relation":"maintains","created_at":"2021-09-30T09:25:47.477Z","updated_at":"2021-09-30T09:25:47.477Z","grant_id":null,"is_lead":false,"saved_state":{"id":1691,"name":"Lawrence Berkeley National Laboratory (LBNL), CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9407,"fairsharing_record_id":2421,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:36.285Z","updated_at":"2022-04-11T12:07:36.285Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2423","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T21:29:13.000Z","updated_at":"2024-07-08T11:03:25.551Z","metadata":{"doi":"10.25504/FAIRsharing.be9dj8","name":"Interdisciplinary Earth Data Alliance","status":"deprecated","contacts":[{"contact_name":"Kerstin Lehnert","contact_email":"lehnert@ldeo.columbia.edu","contact_orcid":"0000-0001-7036-1977"}],"homepage":"https://www.iedadata.org/","citations":[],"identifier":2423,"description":"IEDA systems serve as primary community data collections for global geochemistry and marine Geoscience research to support the preservation, discovery, retrieval, and analysis of a wide range of observational field and analytical data types, enabling these data to be discovered and reused by a diverse community now and in the future. IEDA provides free and open access to all data holdings.","abbreviation":"IEDA","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.iedadata.org/news/","name":"News","type":"Blog/News"},{"url":"info@iedadata.org","type":"Support email"},{"url":"https://www.iedadata.org/frequently-asked-questions/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.iedadata.org/help/","type":"Help documentation"},{"url":"https://www.iedadata.org/help/data-management-overview/","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","associated_tools":[{"url":"http://www.geomapapp.org/","name":"GeoMapApp 3.6.10"},{"url":"https://www.gmrt.org/GMRTMapTool/","name":"GMRT MapTool"},{"url":"https://www.iedadata.org/dmp/","name":"Data Management Plan (DMP) Tool"},{"url":"http://app.iedadata.org/dcr/report.php","name":"Data Compliance Reporting Tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010578","name":"re3data:r3d100010578","portal":"re3data"}],"deprecation_date":"2024-07-08","deprecation_reason":"Data is accessible through EarthChem, LEPR/traceDs and SESAR.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000905","bsg-d000905"],"name":"FAIRsharing record for: Interdisciplinary Earth Data Alliance","abbreviation":"IEDA","url":"https://fairsharing.org/10.25504/FAIRsharing.be9dj8","doi":"10.25504/FAIRsharing.be9dj8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IEDA systems serve as primary community data collections for global geochemistry and marine Geoscience research to support the preservation, discovery, retrieval, and analysis of a wide range of observational field and analytical data types, enabling these data to be discovered and reused by a diverse community now and in the future. IEDA provides free and open access to all data holdings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2556,"fairsharing_record_id":2423,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.646Z","updated_at":"2021-09-30T09:25:47.646Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2555,"fairsharing_record_id":2423,"organisation_id":1763,"relation":"maintains","created_at":"2021-09-30T09:25:47.604Z","updated_at":"2021-09-30T09:25:47.604Z","grant_id":null,"is_lead":false,"saved_state":{"id":1763,"name":"Marine Geoscience Data System, Palisades NY, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2557,"fairsharing_record_id":2423,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:47.684Z","updated_at":"2021-09-30T09:25:47.684Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2558,"fairsharing_record_id":2423,"organisation_id":803,"relation":"maintains","created_at":"2021-09-30T09:25:47.720Z","updated_at":"2021-09-30T09:25:47.720Z","grant_id":null,"is_lead":false,"saved_state":{"id":803,"name":"EarthChem, Palisades, NY, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2424","type":"fairsharing_records","attributes":{"created_at":"2017-04-13T21:47:43.000Z","updated_at":"2024-07-08T11:03:18.043Z","metadata":{"doi":"10.25504/FAIRsharing.ne5dn7","name":"EarthChem","status":"ready","contacts":[{"contact_name":"Kerstin Lehnert","contact_email":"lehnert@ldeo.columbia.edu","contact_orcid":"0000-0001-7036-1977"}],"homepage":"http://www.earthchem.org","citations":[{"publication_id":2695}],"identifier":2424,"description":"EarthChem develops and maintains databases, software, and services that support the preservation, discovery, access and analysis of geochemical data, and facilitate their integration with the broad array of other available earth science parameters. The EarthChem Portal stores geochemical data, provides a variety of search, visualization, and output formatting options, and is interoperable with the LEPR database and the MELTS software. EarthChem Library is a data repository that archives, publishes and makes accessible data and other digital content from geoscience research.","abbreviation":"EarthChem","data_curation":{"url":"https://www.earthchem.org/ecl/policies/","type":"manual","notes":"The EarthChem Library conducts a review for quality of sample and analytical metadata"},"support_links":[{"url":"https://www.facebook.com/EarthChem","name":"Facebook","type":"Facebook"},{"url":"http://www.earthchem.org/news","name":"News","type":"Blog/News"},{"url":"info@earthchem.org","name":"General Contact","type":"Support email"},{"url":"https://earthchem.org/resources/support/","name":"Tutorials \u0026 FAQs","type":"Help documentation"},{"url":"http://www.earthchem.org/about/statistics","name":"Statistics","type":"Help documentation"},{"url":"http://www.earthchem.org/library/releasenotes","name":"Release notes","type":"Help documentation"},{"url":"http://www.earthchem.org/overview","name":"About","type":"Help documentation"},{"url":"https://twitter.com/EarthChem","name":"@EarthChem","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011538","name":"re3data:r3d100011538","portal":"re3data"}],"data_access_condition":{"url":"https://www.earthchem.org/ecl/policies/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.earthchem.org/ecl/submission-guidelines/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000906","bsg-d000906"],"name":"FAIRsharing record for: EarthChem","abbreviation":"EarthChem","url":"https://fairsharing.org/10.25504/FAIRsharing.ne5dn7","doi":"10.25504/FAIRsharing.ne5dn7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EarthChem develops and maintains databases, software, and services that support the preservation, discovery, access and analysis of geochemical data, and facilitate their integration with the broad array of other available earth science parameters. The EarthChem Portal stores geochemical data, provides a variety of search, visualization, and output formatting options, and is interoperable with the LEPR database and the MELTS software. EarthChem Library is a data repository that archives, publishes and makes accessible data and other digital content from geoscience research.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11786}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Geochemistry","Environmental Science","Chemistry","Natural Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2695,"pubmed_id":null,"title":"A global geochemical database structure for rocks","year":2000,"url":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/1999GC000026","authors":"K. Lehnert Y. Su C. H. Langmuir B. Sarbas U. Nohl","journal":"Geochemistry, Geophysics, Geosystems","doi":null,"created_at":"2021-09-30T08:27:30.971Z","updated_at":"2021-09-30T08:27:30.971Z"}],"licence_links":[{"licence_name":"EarthChem Terms of Use","licence_id":255,"licence_url":"http://www.earthchem.org/about/terms","link_id":490,"relation":"undefined"}],"grants":[{"id":2559,"fairsharing_record_id":2424,"organisation_id":1466,"relation":"maintains","created_at":"2021-09-30T09:25:47.749Z","updated_at":"2021-09-30T09:25:47.749Z","grant_id":null,"is_lead":false,"saved_state":{"id":1466,"name":"Interdisciplinary Earth Data Alliance (IEDA), Palisades, NY, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2561,"fairsharing_record_id":2424,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:47.804Z","updated_at":"2021-09-30T09:25:47.804Z","grant_id":null,"is_lead":true,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2560,"fairsharing_record_id":2424,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.774Z","updated_at":"2021-09-30T09:29:47.498Z","grant_id":405,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1948806","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBamNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d2525f35f853f763e045724cfee3d7f405ff102f/Screenshot%20from%202022-12-17%2010-44-03.png?disposition=inline","exhaustive_licences":false}},{"id":"2425","type":"fairsharing_records","attributes":{"created_at":"2017-04-15T10:41:28.000Z","updated_at":"2023-06-22T16:24:45.397Z","metadata":{"doi":"10.25504/FAIRsharing.9enwm8","name":"Marine Geoscience Data System","status":"ready","contacts":[{"contact_name":"General information","contact_email":"info@marine-geo.org"}],"homepage":"http://www.marine-geo.org/index.php","citations":[],"identifier":2425,"description":"The Marine Geoscience Data System (MGDS) is a data repository providing free public access to a curated collection of marine geophysical data products and complementary data related to understanding the formation and evolution of the seafloor and sub-seafloor.","abbreviation":"MGDS","data_curation":{"url":"https://www.marine-geo.org/about/overview.php","type":"manual"},"support_links":[{"url":"http://www.marine-geo.org/help/index.php","type":"Help documentation"},{"url":"http://www.marine-geo.org/education/modules.php","type":"Training documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://www.geomapapp.org/","name":"GeoMapApp 3.6.10"},{"url":"http://www.virtualocean.org/","name":"Virtual Ocean 2.6.0"},{"url":"http://www.earth-observer.org/","name":"EarthObserver 2.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010273","name":"re3data:r3d100010273","portal":"re3data"}],"data_access_condition":{"url":"https://www.marine-geo.org/about/overview.php","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.marine-geo.org/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000907","bsg-d000907"],"name":"FAIRsharing record for: Marine Geoscience Data System","abbreviation":"MGDS","url":"https://fairsharing.org/10.25504/FAIRsharing.9enwm8","doi":"10.25504/FAIRsharing.9enwm8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Marine Geoscience Data System (MGDS) is a data repository providing free public access to a curated collection of marine geophysical data products and complementary data related to understanding the formation and evolution of the seafloor and sub-seafloor.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Natural Science","Earth Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States (CC BY-NC-SA 3.0 US)","licence_id":185,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/us/","link_id":55,"relation":"undefined"},{"licence_name":"MGDS Terms of Use","licence_id":509,"licence_url":"http://www.marine-geo.org/about/terms_of_use.php","link_id":53,"relation":"undefined"}],"grants":[{"id":2562,"fairsharing_record_id":2425,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.842Z","updated_at":"2021-09-30T09:25:47.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2563,"fairsharing_record_id":2425,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:47.888Z","updated_at":"2021-09-30T09:25:47.888Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcFFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6d3ce8c4bbc81a3c009d86ec5fec016bce317946/mgdslogofull.png?disposition=inline","exhaustive_licences":true}},{"id":"2426","type":"fairsharing_records","attributes":{"created_at":"2017-04-15T11:14:00.000Z","updated_at":"2023-12-15T10:31:31.398Z","metadata":{"doi":"10.25504/FAIRsharing.x9rqf7","name":"Incorporated Research Institutions for Seismology Data","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"webmaster@iris.edu"}],"homepage":"http://ds.iris.edu/ds/nodes/dmc/data/#","citations":[],"identifier":2426,"description":"IRIS provides management of, and access to, observed and derived data for the global earth science community. IRIS membership comprises virtually all US universities with research programs in seismology, and is dedicated to the operation of science facilities for the acquisition, management, and distribution of seismological data. IRIS programs contribute to scholarly research, education, earthquake hazard mitigation, and verification of the Comprehensive Nuclear-Test-Ban Treaty.","abbreviation":"IRIS Data","data_curation":{"url":"https://www.iris.edu/hq/sage","type":"manual/automated","notes":"\"SAGE Data Services (DS) is the world’s largest facility for the archiving, curation, and distribution of seismological and other geophysical research data and data products.\""},"support_links":[{"url":"http://www.iris.edu/hq/about_iris/faqs","name":"IRIS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ds.iris.edu/ds/nodes/dmc/quality-assurance/","name":"Quality Assurance at IRIS","type":"Help documentation"},{"url":"https://www.iris.edu/hq/programs/epo/about","name":"Education and Outreach","type":"Training documentation"},{"url":"https://twitter.com/IRIS_quakes","name":"@IRIS_quakes","type":"Twitter"},{"url":"https://twitter.com/IRIS_EPO","name":"@IRIS_EPO","type":"Twitter"},{"url":"https://twitter.com/IRIS_temblor","name":"@IRIS_temblor","type":"Twitter"}],"year_creation":1994,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010268","name":"re3data:r3d100010268","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002201","name":"SciCrunch:RRID:SCR_002201","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ds.iris.edu/ds/nodes/dmc/data/#submitting","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000908","bsg-d000908"],"name":"FAIRsharing record for: Incorporated Research Institutions for Seismology Data","abbreviation":"IRIS Data","url":"https://fairsharing.org/10.25504/FAIRsharing.x9rqf7","doi":"10.25504/FAIRsharing.x9rqf7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IRIS provides management of, and access to, observed and derived data for the global earth science community. IRIS membership comprises virtually all US universities with research programs in seismology, and is dedicated to the operation of science facilities for the acquisition, management, and distribution of seismological data. IRIS programs contribute to scholarly research, education, earthquake hazard mitigation, and verification of the Comprehensive Nuclear-Test-Ban Treaty.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Seismology"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2564,"fairsharing_record_id":2426,"organisation_id":1323,"relation":"maintains","created_at":"2021-09-30T09:25:47.925Z","updated_at":"2021-09-30T09:25:47.925Z","grant_id":null,"is_lead":false,"saved_state":{"id":1323,"name":"Incorporated Research Institutions for Seismology (IRIS), Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2565,"fairsharing_record_id":2426,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:47.963Z","updated_at":"2021-09-30T09:25:47.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2445","type":"fairsharing_records","attributes":{"created_at":"2017-04-21T12:21:40.000Z","updated_at":"2023-12-15T10:32:43.661Z","metadata":{"doi":"10.25504/FAIRsharing.tj9xv0","name":"NERC British Oceanographic Data Centre Data Archive","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"enquiries@bodc.ac.uk"}],"homepage":"http://www.bodc.ac.uk","identifier":2445,"description":"BODC makes available biological, chemical, physical and geophysical data on the marine environment.","abbreviation":"BODC","data_curation":{"url":"https://www.bodc.ac.uk/resources/help_and_hints/faq/","type":"manual"},"support_links":[{"url":"https://www.bodc.ac.uk/resources/help_and_hints/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.bodc.ac.uk/resources/help_and_hints/","type":"Help documentation"},{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"},{"url":"https://www.bodc.ac.uk/about/#","name":"About","type":"Help documentation"}],"year_creation":1989,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010192","name":"re3data:r3d100010192","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.bodc.ac.uk/submit_data/submission_guidelines/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000927","bsg-d000927"],"name":"FAIRsharing record for: NERC British Oceanographic Data Centre Data Archive","abbreviation":"BODC","url":"https://fairsharing.org/10.25504/FAIRsharing.tj9xv0","doi":"10.25504/FAIRsharing.tj9xv0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BODC makes available biological, chemical, physical and geophysical data on the marine environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geochemistry","Environmental Science","Geophysics","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BODC Privacy Policy","licence_id":85,"licence_url":"https://www.bodc.ac.uk/resources/help_and_hints/using_this_web_site/privacy/","link_id":1173,"relation":"undefined"}],"grants":[{"id":2609,"fairsharing_record_id":2445,"organisation_id":2057,"relation":"maintains","created_at":"2021-09-30T09:25:49.628Z","updated_at":"2021-09-30T09:25:49.628Z","grant_id":null,"is_lead":true,"saved_state":{"id":2057,"name":"National Oceanographic Centre (NOC), Liverpool Site, Liverpool, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2691","type":"fairsharing_records","attributes":{"created_at":"2018-10-30T14:18:58.000Z","updated_at":"2023-06-23T15:15:03.661Z","metadata":{"doi":"10.25504/FAIRsharing.A0ozDj","name":"Genome Properties","status":"ready","contacts":[{"contact_name":"Lorna Richardson","contact_email":"GenProp@ebi.ac.uk","contact_orcid":"0000-0002-3655-5660"}],"homepage":"https://www.ebi.ac.uk/interpro/genomeproperties","citations":[{"doi":"10.1093/nar/gky1013","pubmed_id":30364992,"publication_id":2762}],"identifier":2691,"description":"Genome properties is an annotation system whereby functional attributes can be assigned to a genome, based on the presence of a defined set of protein signatures within that genome. This is a reimplementation at EMBL-EBI of a resource previously hosted at JCVI.","abbreviation":"Genome Properties","data_curation":{"url":"https://github.com/ebi-pf-team/genome-properties/blob/master/README.md","type":"automated"},"support_links":[{"url":"GenProp@ebi.ac.uk","name":"Genome properties helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/interpro/genomeproperties/#about","name":"About Genome properties","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/genome-properties-quick-tour","name":"Genome properties quick tour","type":"Training documentation"},{"url":"https://www.ebi.ac.uk/training/online/course/genome-properties-tutorial","name":"Genome properties tutorial","type":"Training documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://genome-properties.readthedocs.io/en/latest/contributing.html","type":"open","notes":"Prior contact should be made by email, there are no standardised data deposition conditions."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001188","bsg-d001188"],"name":"FAIRsharing record for: Genome Properties","abbreviation":"Genome Properties","url":"https://fairsharing.org/10.25504/FAIRsharing.A0ozDj","doi":"10.25504/FAIRsharing.A0ozDj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genome properties is an annotation system whereby functional attributes can be assigned to a genome, based on the presence of a defined set of protein signatures within that genome. This is a reimplementation at EMBL-EBI of a resource previously hosted at JCVI.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12820}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics"],"domains":["Sequence annotation","Genome annotation","Computational biological predictions","Gene functional annotation","Function analysis","Proteome","Protein-containing complex","Homologous","Genome"],"taxonomies":["All"],"user_defined_tags":["protein homology","proteome annotation"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":398,"pubmed_id":23197656,"title":"TIGRFAMs and Genome Properties in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1234","authors":"Haft DH,Selengut JD,Richter RA,Harkins D,Basu MK,Beck E","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1234","created_at":"2021-09-30T08:23:03.256Z","updated_at":"2021-09-30T11:28:46.317Z"},{"id":409,"pubmed_id":17151080,"title":"TIGRFAMs and Genome Properties: tools for the assignment of molecular function and biological process in prokaryotic genomes.","year":2006,"url":"http://doi.org/10.1093/nar/gkl1043","authors":"Selengut JD., Haft DH., Davidsen T., Ganapathy A., Gwinn-Giglio M., Nelson WC., Richter AR., White O.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl1043","created_at":"2021-09-30T08:23:04.426Z","updated_at":"2021-09-30T08:23:04.426Z"},{"id":2762,"pubmed_id":30364992,"title":"Genome properties in 2019: a new companion database to InterPro for the inference of complete functional attributes.","year":2018,"url":"http://doi.org/10.1093/nar/gky1013","authors":"Richardson LJ,Rawlings ND,Salazar GA,Almeida A,Haft DR,Ducq G,Sutton GG,Finn RD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1013","created_at":"2021-09-30T08:27:39.493Z","updated_at":"2021-09-30T11:29:43.129Z"},{"id":2763,"pubmed_id":15347579,"title":"Genome Properties: a system for the investigation of prokaryotic genetic content for microbiology, genome annotation and comparative genomics.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bti015","authors":"Haft DH,Selengut JD,Brinkac LM,Zafar N,White O","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti015","created_at":"2021-09-30T08:27:39.604Z","updated_at":"2021-09-30T08:27:39.604Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":735,"relation":"undefined"}],"grants":[{"id":3213,"fairsharing_record_id":2691,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:26:10.279Z","updated_at":"2021-09-30T09:26:10.279Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3214,"fairsharing_record_id":2691,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:10.321Z","updated_at":"2021-09-30T09:32:11.777Z","grant_id":1511,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"1458808","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3212,"fairsharing_record_id":2691,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:10.237Z","updated_at":"2021-09-30T09:26:10.237Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3215,"fairsharing_record_id":2691,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:10.362Z","updated_at":"2021-09-30T09:26:10.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2692","type":"fairsharing_records","attributes":{"created_at":"2018-10-31T07:56:38.000Z","updated_at":"2023-06-23T15:06:56.247Z","metadata":{"doi":"10.25504/FAIRsharing.ltyo8e","name":"Visual Media Service","status":"ready","contacts":[{"contact_name":"Roberto Scopigno","contact_email":"r.scopigno@isti.cnr.it","contact_orcid":"0000-0002-7457-7473"}],"homepage":"http://visual.ariadne-infrastructure.eu/","citations":[],"identifier":2692,"description":"The aim of the Visual Media Service is to provide CH researchers with an automatic system to publish on the web, search, visualize and analyze images and 3D models in a common workspace, enabling sharing, interoperability and reuse of visual data. Visual Media Service enables the easy publication and visualization on the web of high-resolution 2D images, RTI (Reflection Transformation Images) and 3D models.","abbreviation":"VisMS","data_curation":{"type":"none"},"support_links":[{"url":"ponchio@isti.cnr.it","name":"Federico Ponchio, CNR-ISTI","type":"Support email"},{"url":"http://visual.ariadne-infrastructure.eu/help","name":"Help on line","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"url":"Free login is required to upload the images.","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001189","bsg-d001189"],"name":"FAIRsharing record for: Visual Media Service","abbreviation":"VisMS","url":"https://fairsharing.org/10.25504/FAIRsharing.ltyo8e","doi":"10.25504/FAIRsharing.ltyo8e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The aim of the Visual Media Service is to provide CH researchers with an automatic system to publish on the web, search, visualize and analyze images and 3D models in a common workspace, enabling sharing, interoperability and reuse of visual data. Visual Media Service enables the easy publication and visualization on the web of high-resolution 2D images, RTI (Reflection Transformation Images) and 3D models.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Culture","Humanities","Natural Science","History","Data Visualization"],"domains":["Imaging"],"taxonomies":[],"user_defined_tags":["image processing"],"countries":["Italy"],"publications":[],"licence_links":[],"grants":[{"id":3216,"fairsharing_record_id":2692,"organisation_id":1568,"relation":"maintains","created_at":"2021-09-30T09:26:10.400Z","updated_at":"2021-09-30T09:26:10.400Z","grant_id":null,"is_lead":true,"saved_state":{"id":1568,"name":"Italian National Research Council (CNR), Istituto di Scienza e Tecnologie dell'Informazione (ISTI), Italy","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":3217,"fairsharing_record_id":2692,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:26:10.437Z","updated_at":"2021-09-30T09:29:26.263Z","grant_id":250,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654119 (EC PARTHENOS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7938,"fairsharing_record_id":2692,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:29:56.508Z","updated_at":"2021-09-30T09:29:56.618Z","grant_id":479,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"739563 (EOSC Pilot)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2693","type":"fairsharing_records","attributes":{"created_at":"2018-10-31T20:46:57.000Z","updated_at":"2023-06-23T10:51:51.268Z","metadata":{"doi":"10.25504/FAIRsharing.78f3ff","name":"UKEOF Catalogue","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"office@ukeof.org.uk"}],"homepage":"https://catalogue.ukeof.org.uk","citations":[],"identifier":2693,"description":"This catalogue provides United Kingdom environmental observations.","abbreviation":"UKEOF Catalogue","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ukeof.org.uk/","name":"Environmental Observation Framework","type":"Other"},{"url":"https://twitter.com/UKEnvObs/","name":"@UKEnvObs","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"url":"https://www.ukeof.org.uk/catalogue/conditions","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ukeof.org.uk/documents/20150203UKEOFCatalogueleaflet.pdf","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001190","bsg-d001190"],"name":"FAIRsharing record for: UKEOF Catalogue","abbreviation":"UKEOF Catalogue","url":"https://fairsharing.org/10.25504/FAIRsharing.78f3ff","doi":"10.25504/FAIRsharing.78f3ff","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This catalogue provides United Kingdom environmental observations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Geology","Earth Science","Freshwater Science","Oceanography","Water Research"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Grassland Research"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Open Government Licence (OGL)","licence_id":628,"licence_url":"http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/","link_id":1610,"relation":"undefined"}],"grants":[{"id":3218,"fairsharing_record_id":2693,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:26:10.479Z","updated_at":"2021-09-30T09:26:10.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3219,"fairsharing_record_id":2693,"organisation_id":2896,"relation":"maintains","created_at":"2021-09-30T09:26:10.521Z","updated_at":"2021-09-30T09:26:10.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2896,"name":"UK Environmental Observations Framework","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3220,"fairsharing_record_id":2693,"organisation_id":664,"relation":"funds","created_at":"2021-09-30T09:26:10.559Z","updated_at":"2021-09-30T09:26:10.559Z","grant_id":null,"is_lead":false,"saved_state":{"id":664,"name":"Department for Environment, Food \u0026 Rural Affairs, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2694","type":"fairsharing_records","attributes":{"created_at":"2018-10-31T21:47:15.000Z","updated_at":"2023-06-23T15:43:30.999Z","metadata":{"doi":"10.25504/FAIRsharing.2c8e7e","name":"CHD7 Database","status":"ready","contacts":[{"contact_name":"Nicole Corsten-Janssen","contact_email":"charge@umcg.nl","contact_orcid":"0000-0002-9438-2374"}],"homepage":"https://www.chd7.org/","identifier":2694,"description":"The CHD7 database contains locus-specific, anonymised mutation data on both published and unpublished variants of the CHD7 gene related to the CHARGE syndrome phenotype. It can be searched for patients and their clinical phenotype or for mutations. It can be used as a central, quick reference database for anyone who encounters a variant in the CHD7 gene. Mutations are numbered according to the current reference sequence (GenBank Accession no. NM017780.2).","abbreviation":"CHD7 Database","data_curation":{"url":"https://www.chd7.org/menu/main/background","type":"manual"},"support_links":[{"url":"https://www.chd7.org/menu/main/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.chd7.org/menu/main/background","name":"Background","type":"Help documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.chd7.org/menu/main/background","type":"open","notes":"Free registration is required, all submitted data will be checked and completed where necessary."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001191","bsg-d001191"],"name":"FAIRsharing record for: CHD7 Database","abbreviation":"CHD7 Database","url":"https://fairsharing.org/10.25504/FAIRsharing.2c8e7e","doi":"10.25504/FAIRsharing.2c8e7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CHD7 database contains locus-specific, anonymised mutation data on both published and unpublished variants of the CHD7 gene related to the CHARGE syndrome phenotype. It can be searched for patients and their clinical phenotype or for mutations. It can be used as a central, quick reference database for anyone who encounters a variant in the CHD7 gene. Mutations are numbered according to the current reference sequence (GenBank Accession no. NM017780.2).","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11553}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Genetics","Biomedical Science","Biology"],"domains":["Expression data","Mutation","Phenotype","Disease phenotype","Gene","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Researcher data"],"countries":["Netherlands"],"publications":[{"id":1717,"pubmed_id":22461308,"title":"Mutation update on the CHD7 gene involved in CHARGE syndrome.","year":2012,"url":"http://doi.org/10.1002/humu.22086","authors":"Janssen N,Bergman JE,Swertz MA,Tranebjaerg L,Lodahl M,Schoots J,Hofstra RM,van Ravenswaaij-Arts CM,Hoefsloot LH","journal":"Hum Mutat","doi":"10.1002/humu.22086","created_at":"2021-09-30T08:25:32.371Z","updated_at":"2021-09-30T08:25:32.371Z"}],"licence_links":[],"grants":[{"id":3221,"fairsharing_record_id":2694,"organisation_id":3059,"relation":"maintains","created_at":"2021-09-30T09:26:10.591Z","updated_at":"2021-09-30T09:26:10.591Z","grant_id":null,"is_lead":true,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2695","type":"fairsharing_records","attributes":{"created_at":"2018-11-01T18:28:49.000Z","updated_at":"2024-03-27T18:54:07.859Z","metadata":{"doi":"10.25504/FAIRsharing.111a51","name":"DEB Register","status":"ready","contacts":[{"contact_name":"Peter C van den Akker","contact_email":"p.c.van.den.akker@umcg.nl"}],"homepage":"https://www.deb-central.org","citations":[{"doi":"10.1002/humu.21651","pubmed_id":22058051,"publication_id":252},{"doi":"10.1002/humu.21551","pubmed_id":21681854,"publication_id":2713}],"identifier":2695,"description":"International Dystrophic Epidermolysis Bullosa Patient Registry (DEB Register) provides phenotypic and genotypic information on DEB and the related COL7A1 mutations. The registry is intended to aid in disease diagnosis, genetic counseling, and discovery of novel insights.","abbreviation":"DEB Register","data_curation":{"url":"https://www.deb-central.org/menu/main/background","type":"manual"},"support_links":[{"url":"https://www.deb-central.org/menu/main/news","name":"News","type":"Blog/News"},{"url":"https://www.deb-central.org/menu/main/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.deb-central.org/menu/main/background","name":"Background","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"url":"https://www.deb-central.org/menu/main/home","type":"partially open","notes":"Free login required"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.deb-central.org/menu/main/background#Background","type":"controlled","notes":"Before data submission login required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001192","bsg-d001192"],"name":"FAIRsharing record for: DEB Register","abbreviation":"DEB Register","url":"https://fairsharing.org/10.25504/FAIRsharing.111a51","doi":"10.25504/FAIRsharing.111a51","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: International Dystrophic Epidermolysis Bullosa Patient Registry (DEB Register) provides phenotypic and genotypic information on DEB and the related COL7A1 mutations. The registry is intended to aid in disease diagnosis, genetic counseling, and discovery of novel insights.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11554}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Human Genetics","Biomedical Science"],"domains":["Genotyping","Mutation","Phenotype","Diagnosis","Gene","Gene-disease association","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Functional impact of genetic variants"],"countries":["Austria","Germany","Italy","Netherlands","United Kingdom"],"publications":[{"id":252,"pubmed_id":22058051,"title":"The COL7A1 mutation database.","year":2011,"url":"http://doi.org/10.1002/humu.21651","authors":"Wertheim-Tysarowska K,Sobczynska-Tomaszewska A,Kowalewski C,Skronski M,Swieckowski G,Kutkowska-Kazmierczak A,Wozniak K,Bal J","journal":"Hum Mutat","doi":"10.1002/humu.21651","created_at":"2021-09-30T08:22:47.190Z","updated_at":"2021-09-30T08:22:47.190Z"},{"id":2713,"pubmed_id":21681854,"title":"The international dystrophic epidermolysis bullosa patient registry: an online database of dystrophic epidermolysis bullosa patients and their COL7A1 mutations.","year":2011,"url":"http://doi.org/10.1002/humu.21551","authors":"van den Akker PC,Jonkman MF,Rengaw T,Bruckner-Tuderman L,Has C,Bauer JW,Klausegger A,Zambruno G,Castiglia D,Mellerio JE,McGrath JA,van Essen AJ,Hofstra RM,Swertz MA","journal":"Hum Mutat","doi":"10.1002/humu.21551","created_at":"2021-09-30T08:27:33.145Z","updated_at":"2021-09-30T08:27:33.145Z"},{"id":2717,"pubmed_id":19945622,"title":"Dystrophic epidermolysis bullosa: pathogenesis and clinical features.","year":2009,"url":"http://doi.org/10.1016/j.det.2009.10.020","authors":"Bruckner-Tuderman L","journal":"Dermatol Clin","doi":"10.1016/j.det.2009.10.020","created_at":"2021-09-30T08:27:33.680Z","updated_at":"2021-09-30T08:27:33.680Z"}],"licence_links":[],"grants":[{"id":3224,"fairsharing_record_id":2695,"organisation_id":3056,"relation":"funds","created_at":"2021-09-30T09:26:10.671Z","updated_at":"2021-09-30T09:26:10.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":3056,"name":"University of Freiburg","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3222,"fairsharing_record_id":2695,"organisation_id":1206,"relation":"funds","created_at":"2021-09-30T09:26:10.615Z","updated_at":"2021-09-30T09:26:10.615Z","grant_id":null,"is_lead":false,"saved_state":{"id":1206,"name":"Guys and St Thomas NHS Foundation Trust, London, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3223,"fairsharing_record_id":2695,"organisation_id":3059,"relation":"maintains","created_at":"2021-09-30T09:26:10.640Z","updated_at":"2021-09-30T09:26:10.640Z","grant_id":null,"is_lead":false,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3227,"fairsharing_record_id":2695,"organisation_id":2123,"relation":"funds","created_at":"2021-09-30T09:26:10.775Z","updated_at":"2021-09-30T09:26:10.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":2123,"name":"Netherlands Bioinformatics Centre, Nijmegen, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3228,"fairsharing_record_id":2695,"organisation_id":2768,"relation":"funds","created_at":"2021-09-30T09:26:10.799Z","updated_at":"2021-09-30T09:26:10.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":2768,"name":"The Dutch Vlinderkind (Butterfly Child) Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3230,"fairsharing_record_id":2695,"organisation_id":2780,"relation":"funds","created_at":"2021-09-30T09:26:10.847Z","updated_at":"2021-09-30T09:26:10.847Z","grant_id":null,"is_lead":false,"saved_state":{"id":2780,"name":"The Freiburg Institute for Advanced Studies, Freiburg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3226,"fairsharing_record_id":2695,"organisation_id":2812,"relation":"funds","created_at":"2021-09-30T09:26:10.742Z","updated_at":"2021-09-30T09:30:41.497Z","grant_id":824,"is_lead":false,"saved_state":{"id":2812,"name":"The Netherlands Organisation for Health Research and Development (ZonMw), The Hague, The Netherlands","grant":"92003541","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3225,"fairsharing_record_id":2695,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:26:10.709Z","updated_at":"2021-09-30T09:31:31.203Z","grant_id":1206,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","grant":"Rubicon 825.09.008","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9340,"fairsharing_record_id":2695,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.607Z","updated_at":"2022-04-11T12:07:31.607Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2697","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T10:12:15.000Z","updated_at":"2023-10-18T16:27:42.420Z","metadata":{"doi":"10.25504/FAIRsharing.gX56qR","name":"CowpeaMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org"}],"homepage":"https://mines.legumeinfo.org/cowpeamine","citations":[],"identifier":2697,"description":"CowpeaMine integrates genomic and genetic data for cowpea, Vigna unguiculata. It is built from the LIS tripal.chado database as well as data from publications.","abbreviation":"CowpeaMine","data_curation":{},"support_links":[{"url":"https://mines.legumeinfo.org/cowpeamine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-10-18","deprecation_reason":"This resource's homepage is no longer available and a suitable alternative cannot be found. Please get in touch if you have information relating to this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001194","bsg-d001194"],"name":"FAIRsharing record for: CowpeaMine","abbreviation":"CowpeaMine","url":"https://fairsharing.org/10.25504/FAIRsharing.gX56qR","doi":"10.25504/FAIRsharing.gX56qR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CowpeaMine integrates genomic and genetic data for cowpea, Vigna unguiculata. It is built from the LIS tripal.chado database as well as data from publications.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11676}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":[],"taxonomies":["Vigna unguiculata"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":694,"relation":"undefined"}],"grants":[{"id":3239,"fairsharing_record_id":2697,"organisation_id":3032,"relation":"maintains","created_at":"2021-09-30T09:26:11.113Z","updated_at":"2021-09-30T09:26:11.113Z","grant_id":null,"is_lead":false,"saved_state":{"id":3032,"name":"University of California Riverside, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3240,"fairsharing_record_id":2697,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:11.154Z","updated_at":"2021-09-30T09:26:11.154Z","grant_id":null,"is_lead":true,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3241,"fairsharing_record_id":2697,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:11.192Z","updated_at":"2021-09-30T09:32:16.274Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2699","type":"fairsharing_records","attributes":{"created_at":"2018-11-03T20:35:43.000Z","updated_at":"2023-06-22T16:37:08.115Z","metadata":{"doi":"10.25504/FAIRsharing.1e2ced","name":"Ocean Network Canada","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"nfo@oceannetworks.ca"}],"homepage":"https://data.oceannetworks.ca/home?TREETYPE=1\u0026LOCATION=11\u0026TIMECONFIG=0","citations":[],"identifier":2699,"description":"Ocean Networks Canada is a database on data pertaining to the ocean and marine environment.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/Ocean_Networks","name":"Twitter","type":"Twitter"},{"url":"https://wiki.oceannetworks.ca/display/O2KB","name":"Oceans 3.0 Knowledge Base","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011094","name":"re3data:r3d100011094","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001197","bsg-d001197"],"name":"FAIRsharing record for: Ocean Network Canada","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.1e2ced","doi":"10.25504/FAIRsharing.1e2ced","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Ocean Networks Canada is a database on data pertaining to the ocean and marine environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[],"grants":[{"id":3243,"fairsharing_record_id":2699,"organisation_id":2220,"relation":"maintains","created_at":"2021-09-30T09:26:11.248Z","updated_at":"2023-04-23T14:06:24.176Z","grant_id":null,"is_lead":true,"saved_state":{"id":2220,"name":"Ocean Networks Canada","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2700","type":"fairsharing_records","attributes":{"created_at":"2018-11-03T21:34:56.000Z","updated_at":"2023-06-23T11:31:21.209Z","metadata":{"doi":"10.25504/FAIRsharing.41a4e4","name":"WormQTL","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"info@panaceaproject.eu"}],"homepage":"https://www.wormqtl.org/xqtl_panacea/molgenis.do?select=Home","citations":[],"identifier":2700,"description":"WormQTL is an online scalable system for QTL exploration to service the worm community. WormQTL provides many publicly available datasets and welcomes submissions from other worm researchers.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.wormqtl.org/xqtl_panacea/molgenis.do?select=Help","name":"Help Page","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001198","bsg-d001198"],"name":"FAIRsharing record for: WormQTL","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.41a4e4","doi":"10.25504/FAIRsharing.41a4e4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WormQTL is an online scalable system for QTL exploration to service the worm community. WormQTL provides many publicly available datasets and welcomes submissions from other worm researchers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biology"],"domains":["Genome visualization","Model organism","Gene regulatory element","Quantitative trait loci"],"taxonomies":["Caenorhabditis"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":276,"pubmed_id":23180786,"title":"WormQTL--public archive and analysis web portal for natural variation data in Caenorhabditis spp.","year":2012,"url":"http://doi.org/10.1093/nar/gks1124","authors":"Snoek LB,Van der Velde KJ,Arends D,Li Y,Beyer A,Elvin M,Fisher J,Hajnal A,Hengartner MO,Poulin GB,Rodriguez M,Schmid T,Schrimpf S,Xue F,Jansen RC,Kammenga JE,Swertz MA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1124","created_at":"2021-09-30T08:22:49.804Z","updated_at":"2021-09-30T11:28:44.733Z"}],"licence_links":[],"grants":[{"id":3245,"fairsharing_record_id":2700,"organisation_id":2287,"relation":"funds","created_at":"2021-09-30T09:26:11.298Z","updated_at":"2021-09-30T09:26:11.298Z","grant_id":null,"is_lead":false,"saved_state":{"id":2287,"name":"Panacea","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3247,"fairsharing_record_id":2700,"organisation_id":3059,"relation":"funds","created_at":"2021-09-30T09:26:11.348Z","updated_at":"2021-09-30T09:26:11.348Z","grant_id":null,"is_lead":false,"saved_state":{"id":3059,"name":"University of Groningen, Netherlands","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3244,"fairsharing_record_id":2700,"organisation_id":1115,"relation":"maintains","created_at":"2021-09-30T09:26:11.274Z","updated_at":"2021-09-30T09:26:11.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":1115,"name":"Genomics Coordination Centre, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3246,"fairsharing_record_id":2700,"organisation_id":920,"relation":"maintains","created_at":"2021-09-30T09:26:11.324Z","updated_at":"2021-09-30T09:26:11.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2702","type":"fairsharing_records","attributes":{"created_at":"2018-11-04T22:39:38.000Z","updated_at":"2023-12-15T10:31:11.941Z","metadata":{"doi":"10.25504/FAIRsharing.6bfdfc","name":"American Mineralogist Crystal Structure Database","status":"ready","contacts":[{"contact_name":"Robert T Downs","contact_email":"rdowns@u.arizona.edu"}],"homepage":"http://rruff.geo.arizona.edu/AMS/amcsd.php","citations":[{"publication_id":2725}],"identifier":2702,"description":"This crystal structure database includes every structure published in the American Mineralogist, The Canadian Mineralogist, European Journal of Mineralogy and Physics and Chemistry of Minerals, as well as selected datasets from other journals.","abbreviation":null,"data_curation":{"url":"http://rruff.geo.arizona.edu/AMS/amcsd.php","type":"manual","notes":"\"This site is an interface to a crystal structure database that includes every structure published in the American Mineralogist, The Canadian Mineralogist, European Journal of Mineralogy and Physics and Chemistry of Minerals, as well as selected datasets from other journals.\""},"support_links":[{"url":"http://rruff.geo.arizona.edu/AMS/tips.php","name":"Search Tips","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010765","name":"re3data:r3d100010765","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001200","bsg-d001200"],"name":"FAIRsharing record for: American Mineralogist Crystal Structure Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6bfdfc","doi":"10.25504/FAIRsharing.6bfdfc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This crystal structure database includes every structure published in the American Mineralogist, The Canadian Mineralogist, European Journal of Mineralogy and Physics and Chemistry of Minerals, as well as selected datasets from other journals.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Earth Science","Mineralogy","Physics"],"domains":["Chemical structure","Structure"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":2725,"pubmed_id":null,"title":"The American Mineralogist crystal structure database","year":2003,"url":"https://www.geo.arizona.edu/xtal/group/pdf/am88_247.pdf","authors":"Robert T. Downs, Michelle Hall-Wallace","journal":"American Mineralogist (2003) 88 (1): 247–250.","doi":null,"created_at":"2021-09-30T08:27:34.728Z","updated_at":"2021-09-30T08:27:34.728Z"}],"licence_links":[],"grants":[{"id":3253,"fairsharing_record_id":2702,"organisation_id":1842,"relation":"maintains","created_at":"2021-09-30T09:26:11.498Z","updated_at":"2021-09-30T09:26:11.498Z","grant_id":null,"is_lead":false,"saved_state":{"id":1842,"name":"Mineralogy and cristallography lab, Department of Geosciences, University of Arizona, AZ, U.S.A","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3255,"fairsharing_record_id":2702,"organisation_id":1841,"relation":"maintains","created_at":"2021-09-30T09:26:11.548Z","updated_at":"2021-09-30T09:26:11.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":1841,"name":"Mineralogical Society of America, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3256,"fairsharing_record_id":2702,"organisation_id":1840,"relation":"maintains","created_at":"2021-09-30T09:26:11.574Z","updated_at":"2021-09-30T09:26:11.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":1840,"name":"Mineralogical Association of Canada, Canada","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3254,"fairsharing_record_id":2702,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:11.524Z","updated_at":"2021-09-30T09:29:33.703Z","grant_id":301,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0112782","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7989,"fairsharing_record_id":2702,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:15.953Z","updated_at":"2021-09-30T09:30:16.005Z","grant_id":627,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0622371","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2707","type":"fairsharing_records","attributes":{"created_at":"2018-11-16T12:20:52.000Z","updated_at":"2023-12-15T10:28:27.728Z","metadata":{"doi":"10.25504/FAIRsharing.LEtKjT","name":"Imperial College Research Computing Service Data Repository","status":"ready","contacts":[{"contact_name":"M. J. Harvey","contact_email":"m.j.harvey@imperial.ac.uk","contact_orcid":"0000-0003-1797-3186"}],"homepage":"https://data.hpc.imperial.ac.uk","citations":[{"doi":"10.1186/s13321-017-0190-6","publication_id":2131}],"identifier":2707,"description":"A lightweight digital repository for data based on the concepts of collections of filesets. Both the collection and the fileset are assigned a DOI by the DataCite organisation which can be quoted in articles. Browsing and data deposition are available only when logged in. ","abbreviation":null,"data_curation":{"url":"https://wiki.ch.ic.ac.uk/wiki/index.php?title=Rdm:data","type":"manual"},"support_links":[{"url":"https://wiki.ch.ic.ac.uk/wiki/index.php?title=Rdm:data","name":"Help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011965","name":"re3data:r3d100011965","portal":"re3data"}],"data_access_condition":{"url":"https://data.hpc.imperial.ac.uk/publish/browse","type":"controlled","notes":"Data browsing under login"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://wiki.ch.ic.ac.uk/wiki/index.php?title=Rdm:data","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001205","bsg-d001205"],"name":"FAIRsharing record for: Imperial College Research Computing Service Data Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.LEtKjT","doi":"10.25504/FAIRsharing.LEtKjT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A lightweight digital repository for data based on the concepts of collections of filesets. Both the collection and the fileset are assigned a DOI by the DataCite organisation which can be quoted in articles. Browsing and data deposition are available only when logged in. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry"],"domains":["Molecular structure","Molecular entity","Chemical descriptor"],"taxonomies":["All"],"user_defined_tags":["institutional repository"],"countries":["United Kingdom"],"publications":[{"id":2131,"pubmed_id":null,"title":"A metadata-driven approach to data repository design,","year":2017,"url":"http://doi.org/10.1186/s13321-017-0190-6","authors":"M. J. Harvey, A. McLean, H. S. Rzepa","journal":"J. Cheminformatics","doi":"10.1186/s13321-017-0190-6","created_at":"2021-09-30T08:26:20.316Z","updated_at":"2021-09-30T08:26:20.316Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":59,"relation":"undefined"}],"grants":[{"id":3261,"fairsharing_record_id":2707,"organisation_id":1320,"relation":"maintains","created_at":"2021-09-30T09:26:11.699Z","updated_at":"2021-09-30T09:26:11.699Z","grant_id":null,"is_lead":false,"saved_state":{"id":1320,"name":"Imperial College London, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2708","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T12:18:49.000Z","updated_at":"2023-12-15T10:31:00.239Z","metadata":{"doi":"10.25504/FAIRsharing.293c15","name":"GTEx Portal","status":"ready","contacts":[],"homepage":"https://gtexportal.org","citations":[],"identifier":2708,"description":"The Genotype-Tissue Expression (GTEx) project is an ongoing effort to build a comprehensive public resource to study tissue-specific gene expression and regulation. Samples were collected from 53 non-diseased tissue sites across nearly 1000 individuals, primarily for molecular assays including WGS, WES, and RNA-Seq. Remaining samples are available from the GTEx Biobank. The GTEx Portal provides open access to data including gene expression, QTLs, and histology images.","abbreviation":"GTEx Portal","data_curation":{"type":"not found"},"support_links":[{"url":"https://gtexportal.org/home/contact","name":"GTEx Contact Form","type":"Contact form"},{"url":"https://gtexportal.org/home/documentationPage","name":"GTEx documentation","type":"Help documentation"},{"url":"https://gtexportal.org/home/releaseInfoPage","name":"Release information","type":"Help documentation"},{"url":"https://gtexportal.org/home/tissueSummaryPage","name":"Dataset Summary Information","type":"Help documentation"},{"url":"https://gtexportal.org/home/videos","name":"Training Videos","type":"Training documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://gtexportal.org/home/bubbleHeatmapPage","name":"GTEx Gene-eQTL Visualizer"},{"url":"https://gtexportal.org/home/histologyPage?tab=PCA","name":"Expression PCA"},{"url":"https://gtexportal.org/home/browseEqtls","name":"GTEx IGV eQTL Browser"},{"url":"https://gtexportal.org/home/testyourown","name":"GTEx eQTL Calculator"},{"url":"https://gtexportal.org/home/eqtlDashboardPage","name":"GTEx eQTL Dashboard"}],"data_access_condition":{"url":"https://gtexportal.org/home/protectedDataAccess","type":"partially open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001206","bsg-d001206"],"name":"FAIRsharing record for: GTEx Portal","abbreviation":"GTEx Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.293c15","doi":"10.25504/FAIRsharing.293c15","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genotype-Tissue Expression (GTEx) project is an ongoing effort to build a comprehensive public resource to study tissue-specific gene expression and regulation. Samples were collected from 53 non-diseased tissue sites across nearly 1000 individuals, primarily for molecular assays including WGS, WES, and RNA-Seq. Remaining samples are available from the GTEx Biobank. The GTEx Portal provides open access to data including gene expression, QTLs, and histology images.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10823}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Gene expression","Regulation of gene expression","RNA sequencing","Whole genome sequencing","Histology","Quantitative trait loci"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":1729,"relation":"undefined"},{"licence_name":"GTEx Data Release and Publication Policy","licence_id":366,"licence_url":"https://gtexportal.org/home/documentationPage#staticTextPublicationPolicy","link_id":1728,"relation":"undefined"}],"grants":[{"id":3263,"fairsharing_record_id":2708,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:11.749Z","updated_at":"2021-09-30T09:32:22.748Z","grant_id":1592,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"Common Fund GTEx Grant","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3262,"fairsharing_record_id":2708,"organisation_id":2748,"relation":"maintains","created_at":"2021-09-30T09:26:11.725Z","updated_at":"2021-09-30T09:26:11.725Z","grant_id":null,"is_lead":true,"saved_state":{"id":2748,"name":"The Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02140, USA.","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2709","type":"fairsharing_records","attributes":{"created_at":"2018-11-19T10:39:03.000Z","updated_at":"2023-12-15T10:33:12.719Z","metadata":{"doi":"10.25504/FAIRsharing.KhTFtY","name":"YeastMine","status":"ready","contacts":[{"contact_email":"sgd-helpdesk@lists.stanford.edu"}],"homepage":"http://yeastmine.yeastgenome.org/yeastmine","citations":[],"identifier":2709,"description":"Search and retrieve S. cerevisiae data with YeastMine, populated by SGD and powered by InterMine.","abbreviation":"YeastMine","data_curation":{"url":"https://sites.google.com/view/yeastgenome-help/analyze-help/yeastmine","type":"manual"},"support_links":[{"url":"https://www.yeastgenome.org/suggestion","name":"SGD Contact Form","type":"Contact form"},{"url":"https://sites.google.com/view/yeastgenome-help/video-tutorials/yeastmine","name":"Video Tutorials","type":"Help documentation"},{"url":"https://sites.google.com/view/yeastgenome-help/analyze-help/yeastmine","name":"YeastMine Help","type":"Help documentation"},{"url":"https://yeastmine.yeastgenome.org/yeastmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/yeastmine-videos","name":"YeastMine videos","type":"TeSS links to training materials"}],"data_versioning":"yes","data_access_condition":{"url":"https://yeastmine.yeastgenome.org/yeastmine/begin.do","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001207","bsg-d001207"],"name":"FAIRsharing record for: YeastMine","abbreviation":"YeastMine","url":"https://fairsharing.org/10.25504/FAIRsharing.KhTFtY","doi":"10.25504/FAIRsharing.KhTFtY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Search and retrieve S. cerevisiae data with YeastMine, populated by SGD and powered by InterMine.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11679}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Life Science"],"domains":["Molecular function","Gene expression","Biological regulation","Molecular interaction","Protein","Homologous","Orthologous","Paralogous"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":603,"relation":"undefined"}],"grants":[{"id":3264,"fairsharing_record_id":2709,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:26:11.785Z","updated_at":"2021-09-30T09:26:11.785Z","grant_id":null,"is_lead":true,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2710","type":"fairsharing_records","attributes":{"created_at":"2018-11-19T10:48:50.000Z","updated_at":"2022-07-20T09:46:59.486Z","metadata":{"doi":"10.25504/FAIRsharing.59ZSlc","name":"ZebraFishMine","status":"deprecated","contacts":[],"homepage":"http://zebrafishmine.org/zfinmine/","citations":[],"identifier":2710,"description":"ZebrafishMine provides a variety of data, analysis and browsing of Zebrafish genomic information.","abbreviation":null,"data_curation":{},"support_links":[{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2022-06-29","deprecation_reason":"This resource has been superseded by the AllianceMine.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001208","bsg-d001208"],"name":"FAIRsharing record for: ZebraFishMine","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.59ZSlc","doi":"10.25504/FAIRsharing.59ZSlc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ZebrafishMine provides a variety of data, analysis and browsing of Zebrafish genomic information.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11680}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Reagent","Protein","Gene"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1698,"pubmed_id":31552413,"title":"Alliance of Genome Resources Portal: unified model organism research platform.","year":2019,"url":"http://doi.org/10.1093/nar/gkz813","authors":"Alliance of Genome Resources Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz813","created_at":"2021-09-30T08:25:30.300Z","updated_at":"2021-09-30T11:29:18.893Z"},{"id":2156,"pubmed_id":26097180,"title":"ZFIN, The zebrafish model organism database: Updates and new directions.","year":2015,"url":"http://doi.org/10.1002/dvg.22868","authors":"Ruzicka L,Bradford YM,Frazer K,Howe DG,Paddock H,Ramachandran S,Singer A,Toro S,Van Slyke CE,Eagle AE,Fashena D,Kalita P,Knight J,Mani P,Martin R,Moxon SA,Pich C,Schaper K,Shao X,Westerfield M","journal":"Genesis","doi":"10.1002/dvg.22868","created_at":"2021-09-30T08:26:23.074Z","updated_at":"2021-09-30T08:26:23.074Z"}],"licence_links":[],"grants":[{"id":9651,"fairsharing_record_id":2710,"organisation_id":1470,"relation":"maintains","created_at":"2022-06-29T14:46:50.751Z","updated_at":"2022-06-29T14:46:50.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":1470,"name":"InterMine, System Biology Centre, Cambridge, UK","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3265,"fairsharing_record_id":2710,"organisation_id":3110,"relation":"maintains","created_at":"2021-09-30T09:26:11.808Z","updated_at":"2021-09-30T09:26:11.808Z","grant_id":null,"is_lead":true,"saved_state":{"id":3110,"name":"University of Oregon, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2713","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T10:50:12.000Z","updated_at":"2023-10-18T16:28:28.057Z","metadata":{"doi":"10.25504/FAIRsharing.Pupa1p","name":"PeanutMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org"}],"homepage":"https://mines.legumeinfo.org/peanutmine","citations":[],"identifier":2713,"description":"PeanutMine integrates peanut data from LIS PeanutBase and other sources.","abbreviation":"PeanutMine","data_curation":{"type":"not found"},"support_links":[{"url":"https://mines.legumeinfo.org/peanutmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-10-18","deprecation_reason":"This resource's homepage is no longer available and a suitable alternative cannot be found. Please get in touch if you have information relating to this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001211","bsg-d001211"],"name":"FAIRsharing record for: PeanutMine","abbreviation":"PeanutMine","url":"https://fairsharing.org/10.25504/FAIRsharing.Pupa1p","doi":"10.25504/FAIRsharing.Pupa1p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PeanutMine integrates peanut data from LIS PeanutBase and other sources.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11683}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Gene expression"],"taxonomies":["Arachis","Arachis duranensis","Arachis hypogaea"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":789,"relation":"undefined"}],"grants":[{"id":3270,"fairsharing_record_id":2713,"organisation_id":1963,"relation":"maintains","created_at":"2021-09-30T09:26:11.932Z","updated_at":"2021-09-30T09:26:11.932Z","grant_id":null,"is_lead":true,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3271,"fairsharing_record_id":2713,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:11.958Z","updated_at":"2021-09-30T09:26:11.958Z","grant_id":null,"is_lead":false,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3272,"fairsharing_record_id":2713,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:11.982Z","updated_at":"2021-09-30T09:32:16.298Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2714","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T11:02:12.000Z","updated_at":"2023-06-14T11:06:30.731Z","metadata":{"doi":"10.25504/FAIRsharing.KoKgH7","name":"SoyMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org"}],"homepage":"https://mines.legumeinfo.org/soymine","citations":[],"identifier":2714,"description":"This mine integrates many types of data for soybean. It is currently under development by LIS, built from the LIS chado database (genomic data) and the SoyBase database (genetic data) as well as other resources. Please note that the homepage URL is no longer accessible, therefore we have marked the record as uncertain.","abbreviation":"SoyMine","data_curation":{},"support_links":[{"url":"https://mines.legumeinfo.org/soymine/dataCategories.do","name":"Data Source","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-06-14","deprecation_reason":"The resource homepage is unavailable, and a new project page cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001212","bsg-d001212"],"name":"FAIRsharing record for: SoyMine","abbreviation":"SoyMine","url":"https://fairsharing.org/10.25504/FAIRsharing.KoKgH7","doi":"10.25504/FAIRsharing.KoKgH7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This mine integrates many types of data for soybean. It is currently under development by LIS, built from the LIS chado database (genomic data) and the SoyBase database (genetic data) as well as other resources. Please note that the homepage URL is no longer accessible, therefore we have marked the record as uncertain.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11684}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics"],"domains":["Expression data","Gene functional annotation","Protein sequence identification","Transcript","Quantitative trait loci"],"taxonomies":["Glycine max"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1319,"relation":"undefined"}],"grants":[{"id":3275,"fairsharing_record_id":2714,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:12.058Z","updated_at":"2021-09-30T09:32:16.311Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3273,"fairsharing_record_id":2714,"organisation_id":1963,"relation":"maintains","created_at":"2021-09-30T09:26:12.008Z","updated_at":"2021-09-30T09:26:12.008Z","grant_id":null,"is_lead":true,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3274,"fairsharing_record_id":2714,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:12.032Z","updated_at":"2021-09-30T09:26:12.032Z","grant_id":null,"is_lead":false,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2705","type":"fairsharing_records","attributes":{"created_at":"2018-11-15T14:46:13.000Z","updated_at":"2023-03-21T15:11:59.066Z","metadata":{"doi":"10.25504/FAIRsharing.TFhZ4P","name":"RatMine","status":"deprecated","contacts":[],"homepage":"http://ratmine.mcw.edu/ratmine/begin.do","citations":[],"identifier":2705,"description":"RatMine integrates many types of data for Rattus Norvegicus, Homo Sapiens, Mus Musculus and other organisms. You can run flexible queries, export results and analyse lists of data.","abbreviation":"RatMine","data_curation":{"type":"not found"},"support_links":[{"url":"http://ratmine.mcw.edu/ratmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"not found","deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001203","bsg-d001203"],"name":"FAIRsharing record for: RatMine","abbreviation":"RatMine","url":"https://fairsharing.org/10.25504/FAIRsharing.TFhZ4P","doi":"10.25504/FAIRsharing.TFhZ4P","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RatMine integrates many types of data for Rattus Norvegicus, Homo Sapiens, Mus Musculus and other organisms. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11677}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Comparative Genomics"],"domains":["Expression data","Molecular interaction","Homologous"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1246,"relation":"undefined"}],"grants":[{"id":3259,"fairsharing_record_id":2705,"organisation_id":1810,"relation":"maintains","created_at":"2021-09-30T09:26:11.649Z","updated_at":"2021-09-30T09:26:11.649Z","grant_id":null,"is_lead":true,"saved_state":{"id":1810,"name":"Medical College of Wisconsin (MCW), Wisconsin, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2706","type":"fairsharing_records","attributes":{"created_at":"2018-11-15T14:55:06.000Z","updated_at":"2023-06-23T15:08:18.649Z","metadata":{"doi":"10.25504/FAIRsharing.wmZz9V","name":"WormMine","status":"ready","contacts":[{"contact_email":"help@wormbase.org"}],"homepage":"http://intermine.wormbase.org/tools/wormmine/begin.do","identifier":2706,"description":"WormMine integrates many types of data for C. elegans and related nematodes. You can run flexible queries, export results and analyse lists of data.","abbreviation":"WormMine","data_curation":{"type":"not found"},"support_links":[{"url":"http://intermine.wormbase.org/tools/wormmine/dataCategories.do","name":"Data Sources","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001204","bsg-d001204"],"name":"FAIRsharing record for: WormMine","abbreviation":"WormMine","url":"https://fairsharing.org/10.25504/FAIRsharing.wmZz9V","doi":"10.25504/FAIRsharing.wmZz9V","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WormMine integrates many types of data for C. elegans and related nematodes. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11678}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Reagent","Gene expression","Phenotype","Protein"],"taxonomies":["Caenorhabditis elegans"],"user_defined_tags":["genomic variation"],"countries":["Canada","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":428,"relation":"undefined"}],"grants":[{"id":3260,"fairsharing_record_id":2706,"organisation_id":3260,"relation":"maintains","created_at":"2021-09-30T09:26:11.674Z","updated_at":"2021-09-30T09:26:11.674Z","grant_id":null,"is_lead":true,"saved_state":{"id":3260,"name":"WormBase Administrators","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2667","type":"fairsharing_records","attributes":{"created_at":"2018-08-27T09:20:33.000Z","updated_at":"2023-12-15T10:32:10.608Z","metadata":{"doi":"10.25504/FAIRsharing.c55d5e","name":"GitHub","status":"ready","homepage":"https://github.com/","identifier":2667,"description":"GitHub Inc. is a Git-based software repository that provides version control. It offers all of the distributed version control and source code management (SCM) functionality of Git as well as adding its own features. It provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for each project. It provides a number of different access levels, from free through to paid services.","abbreviation":"GitHub","data_curation":{"url":"https://docs.github.com/en/contributing","type":"manual/automated","notes":"GitHub Style Guide"},"support_links":[{"url":"https://support.github.com/contact","name":"Contact Form and Help Pages","type":"Github"},{"url":"https://github.community/","name":"GitHub Support Community","type":"Github"},{"url":"https://help.github.com/","name":"Help","type":"Github"},{"url":"https://services.github.com/","name":"Services Listing","type":"Github"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/features/code-review/","name":"Code review"},{"url":"https://github.com/features/project-management/","name":"Project management"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010375","name":"re3data:r3d100010375","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002630","name":"SciCrunch:RRID:SCR_002630","portal":"SciCrunch"}],"data_access_condition":{"url":"https://docs.github.com/en/site-policy/privacy-policies/github-privacy-statement","type":"partially open","notes":"GitHub Privacy Statement"},"resource_sustainability":{"url":"https://github.blog/2020-11-16-standing-up-for-developers-youtube-dl-is-back/#developer-defense-fund","name":"GitHub Developer Defense Fund"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://github.com/customer-terms/github-data-protection-agreement","name":"GitHub Data Protection Agreement"},"data_deposition_condition":{"url":"https://docs.github.com/en/site-policy/github-terms/github-terms-of-service","type":"open","notes":"GitHub Terms of Service"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001160","bsg-d001160"],"name":"FAIRsharing record for: GitHub","abbreviation":"GitHub","url":"https://fairsharing.org/10.25504/FAIRsharing.c55d5e","doi":"10.25504/FAIRsharing.c55d5e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GitHub Inc. is a Git-based software repository that provides version control. It offers all of the distributed version control and source code management (SCM) functionality of Git as well as adding its own features. It provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for each project. It provides a number of different access levels, from free through to paid services.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14727}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Knowledge and Information Systems","Subject Agnostic","Software Engineering"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GitHub Privacy Statement","licence_id":347,"licence_url":"https://help.github.com/articles/github-privacy-statement/","link_id":1677,"relation":"undefined"},{"licence_name":"GitHub Terms of Service","licence_id":348,"licence_url":"https://help.github.com/articles/github-terms-of-service/","link_id":1663,"relation":"undefined"}],"grants":[{"id":3148,"fairsharing_record_id":2667,"organisation_id":1156,"relation":"maintains","created_at":"2021-09-30T09:26:08.272Z","updated_at":"2021-09-30T09:26:08.272Z","grant_id":null,"is_lead":true,"saved_state":{"id":1156,"name":"GitHub Incorporated, San Francisco, CA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2715","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T13:13:34.000Z","updated_at":"2023-10-18T16:28:04.979Z","metadata":{"doi":"10.25504/FAIRsharing.sDwGp9","name":"MedicMine","status":"deprecated","contacts":[{"contact_name":"Sam Hokin","contact_email":"shokin@ncgr.org","contact_orcid":null}],"homepage":"https://mines.legumeinfo.org/medicmine/begin.do","citations":[],"identifier":2715,"description":"MedicMine integrates genomic data for medicago trucatula and Medicago sativa. You can run flexible queries, export results and analyse lists of genes.","abbreviation":"MedicMine","data_curation":{},"support_links":[{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"},{"url":"https://mines.legumeinfo.org/medicmine/dataCategories.do","name":"List of Data Sources","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2023-10-18","deprecation_reason":"This resource's homepage is no longer available and a suitable alternative cannot be found. Please get in touch if you have information relating to this resource.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001213","bsg-d001213"],"name":"FAIRsharing record for: MedicMine","abbreviation":"MedicMine","url":"https://fairsharing.org/10.25504/FAIRsharing.sDwGp9","doi":"10.25504/FAIRsharing.sDwGp9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MedicMine integrates genomic data for medicago trucatula and Medicago sativa. You can run flexible queries, export results and analyse lists of genes.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11685}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Molecular function","Gene expression","Protein","Homologous"],"taxonomies":["Medicago sativa","Medicago truncatula"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":788,"relation":"undefined"}],"grants":[{"id":3276,"fairsharing_record_id":2715,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:26:12.082Z","updated_at":"2021-09-30T09:26:12.082Z","grant_id":null,"is_lead":true,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3277,"fairsharing_record_id":2715,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:12.108Z","updated_at":"2021-09-30T09:32:16.322Z","grant_id":1542,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"Federated Plant Database Initiative for the Legumes (Legume Federation)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaWNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--270898763d9ce46ce29f66c69d357147e2633e32/medicago.png?disposition=inline","exhaustive_licences":false}},{"id":"2722","type":"fairsharing_records","attributes":{"created_at":"2019-01-09T09:45:09.000Z","updated_at":"2022-07-20T12:29:16.168Z","metadata":{"doi":"10.25504/FAIRsharing.9vT2Wg","name":"BioCatalogue","status":"deprecated","contacts":[{"contact_name":"BioCatalogue Helpdesk","contact_email":"contact@biocatalogue.org"}],"homepage":"https://esciencelab.org.uk/products/biocatalogue/","citations":[{"doi":"10.1093/nar/gkq394","pubmed_id":20484378,"publication_id":483}],"identifier":2722,"description":"The BioCatalogue provided a common interface for registering, browsing and annotating Web Services to the Life Science community. Services in the BioCatalogue could be described and searched in multiple ways based upon their technical types, bioinformatics categories, user tags, service providers or data inputs and outputs. They were also subject to constant monitoring, allowing the identification of service problems and changes and the filtering-out of unavailable or unreliable resources. The system was accessible via a human-readable ‘Web 2.0’-style interface and a programmatic Web Service interface. The BioCatalogue followed a community approach in which all services can be registered, browsed and incrementally documented with annotations by any member of the scientific community.","abbreviation":"BioCatalogue","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.biocatalogue.org/contact","name":"BioCatalogue Contact Form","type":"Contact form"},{"url":"https://www.biocatalogue.org/stats","name":"Statistics","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"BioCatalogue was retired in September 2021","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001220","bsg-d001220"],"name":"FAIRsharing record for: BioCatalogue","abbreviation":"BioCatalogue","url":"https://fairsharing.org/10.25504/FAIRsharing.9vT2Wg","doi":"10.25504/FAIRsharing.9vT2Wg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BioCatalogue provided a common interface for registering, browsing and annotating Web Services to the Life Science community. Services in the BioCatalogue could be described and searched in multiple ways based upon their technical types, bioinformatics categories, user tags, service providers or data inputs and outputs. They were also subject to constant monitoring, allowing the identification of service problems and changes and the filtering-out of unavailable or unreliable resources. The system was accessible via a human-readable ‘Web 2.0’-style interface and a programmatic Web Service interface. The BioCatalogue followed a community approach in which all services can be registered, browsed and incrementally documented with annotations by any member of the scientific community.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11408},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12150}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics"],"domains":["Web service"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":483,"pubmed_id":20484378,"title":"BioCatalogue: a universal catalogue of web services for the life sciences.","year":2010,"url":"http://doi.org/10.1093/nar/gkq394","authors":"Bhagat J,Tanoh F,Nzuobontane E,Laurent T,Orlowski J,Roos M,Wolstencroft K,Aleksejevs S,Stevens R,Pettifer S,Lopez R,Goble CA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq394","created_at":"2021-09-30T08:23:12.531Z","updated_at":"2021-09-30T11:28:46.700Z"}],"licence_links":[{"licence_name":"BioCatalogue BSD License","licence_id":76,"licence_url":"https://github.com/myGrid/biocatalogue/blob/master/license.txt","link_id":2352,"relation":"undefined"},{"licence_name":"BioCatalogue Terms of Use","licence_id":77,"licence_url":"https://www.biocatalogue.org/termsofuse","link_id":2350,"relation":"undefined"},{"licence_name":"Creative Commons (CC) Copyright-Only Dedication (based on United States law) or Public Domain Certification","licence_id":197,"licence_url":"https://creativecommons.org/licenses/publicdomain/","link_id":2351,"relation":"undefined"}],"grants":[{"id":3294,"fairsharing_record_id":2722,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:26:12.550Z","updated_at":"2021-09-30T09:26:12.550Z","grant_id":null,"is_lead":true,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3293,"fairsharing_record_id":2722,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:12.524Z","updated_at":"2021-09-30T09:26:12.524Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3295,"fairsharing_record_id":2722,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:12.582Z","updated_at":"2021-09-30T09:30:40.740Z","grant_id":818,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/F01046X/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8257,"fairsharing_record_id":2722,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:31:47.399Z","updated_at":"2021-09-30T09:31:47.460Z","grant_id":1327,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/F010540/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2723","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T10:01:33.000Z","updated_at":"2023-12-15T10:30:48.841Z","metadata":{"doi":"10.25504/FAIRsharing.m8AMNi","name":"Lichenized and Non-Lichenized Ascomycetes","status":"ready","contacts":[{"contact_name":"Dagmar Triebel","contact_email":"triebel@snsb.de"}],"homepage":"http://www.lias.net/","identifier":2723,"description":"LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been enlarged. LIAS light stores phenotypic trait data. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication.","abbreviation":"LIAS","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.lias.net/Descriptors/Definitions.html","name":"LIAS Descriptors","type":"Help documentation"},{"url":"http://www.lias.net/Descriptors/Listing.html","name":"LIAS Descriptors Master Forms","type":"Help documentation"},{"url":"http://www.lias.net/About/About.html","name":"About","type":"Help documentation"},{"url":"http://www.lias.net/","name":"Partners","type":"Help documentation"},{"url":"https://glossary.lias.net/wiki/","name":"LIAS glossary","type":"Help documentation"},{"url":"http://liaslight.lias.net/About/Impressum.html","name":"LIAS light editors and managers","type":"Help documentation"},{"url":"http://liasgtm.lias.net/gtm.php?p=doc\u0026c=gtm","name":"LIAS gtm documentation","type":"Help documentation"}],"year_creation":1993,"data_versioning":"no","associated_tools":[{"url":"http://www.navikey.net/","name":"NaviKey 5"},{"url":"http://liaslight.lias.net/","name":"LIAS light"},{"url":"http://liasgtm.lias.net/gtm.php","name":"LIAS gtm"},{"url":"http://liasnames.lias.net/","name":"LIAS names"},{"url":"https://diversityworkbench.net/Portal/DiversityDescriptions","name":"DiversityDescriptions"},{"url":"https://diversityworkbench.net/Portal/DiversityTaxonNames","name":"DiversityTaxonNames"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011872","name":"re3data:r3d100011872","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.lias.net/","type":"not applicable","notes":"Users can participate by doing taxonomic curation"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001221","bsg-d001221"],"name":"FAIRsharing record for: Lichenized and Non-Lichenized Ascomycetes","abbreviation":"LIAS","url":"https://fairsharing.org/10.25504/FAIRsharing.m8AMNi","doi":"10.25504/FAIRsharing.m8AMNi","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been enlarged. LIAS light stores phenotypic trait data. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Biodiversity","Life Science"],"domains":["Taxonomic classification","Geographical location","Phenotype"],"taxonomies":["Ascomycota","Fungi"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["Germany"],"publications":[{"id":2384,"pubmed_id":null,"title":"LIAS light – Towards the ten thousand species milestone","year":2014,"url":"https://mycokeys.pensoft.net/article/1203/list/8/","authors":"Rambold, G., Elix, J.A., Heindl-Tenhunen, B., Köhler, T., Nash, T.H. III, Neubacher, D., Reichert, W., Zedda, L. \u0026 Triebel, D.","journal":"MycoKeys 8: 11-16","doi":null,"created_at":"2021-09-30T08:26:52.892Z","updated_at":"2021-09-30T08:26:52.892Z"},{"id":2385,"pubmed_id":null,"title":"Geographic heat maps of lichen traits derived by combining LIAS light description and GBIF occurrence data, provided on a new platform","year":2016,"url":"https://link.springer.com/article/10.1007/s10531-016-1199-2","authors":"Rambold, G., Zedda, L., Coyle, J., Peršoh, D., Köhler, T. \u0026 Triebel","journal":"Biodivers. \u0026 Conservation 25(13): 2743-2751","doi":null,"created_at":"2021-09-30T08:26:53.002Z","updated_at":"2021-09-30T08:26:53.002Z"},{"id":2399,"pubmed_id":null,"title":"LIAS - an interactive database system for structured descriptive data of Ascomycetes. (in: Biodiversity Databases: Techniques, Politics, and Applications. Chapter 8. )","year":2007,"url":"https://www.researchgate.net/publication/215823237_Chapter_8_LIAS_-_an_interactive_database_system_for_structured_descriptive_data_of_Ascomycetes","authors":"Triebel, D., Peršoh, D., Nash, T.H. III, Zedda, L. \u0026 Rambold, G.","journal":"Syst. Assoc. Special Vol. 73: 99-110","doi":null,"created_at":"2021-09-30T08:26:54.560Z","updated_at":"2021-09-30T11:28:35.678Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":2347,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2349,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":2361,"relation":"undefined"}],"grants":[{"id":3296,"fairsharing_record_id":2723,"organisation_id":3019,"relation":"maintains","created_at":"2021-09-30T09:26:12.607Z","updated_at":"2021-09-30T09:26:12.607Z","grant_id":null,"is_lead":true,"saved_state":{"id":3019,"name":"University of Bayreuth","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3298,"fairsharing_record_id":2723,"organisation_id":174,"relation":"maintains","created_at":"2021-09-30T09:26:12.659Z","updated_at":"2021-09-30T09:26:12.659Z","grant_id":null,"is_lead":true,"saved_state":{"id":174,"name":"Bavarian Natural History Collections, SNSB IT Center, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3299,"fairsharing_record_id":2723,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:12.683Z","updated_at":"2021-09-30T09:26:12.683Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9341,"fairsharing_record_id":2723,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:31.660Z","updated_at":"2022-04-11T12:07:31.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2724","type":"fairsharing_records","attributes":{"created_at":"2018-12-10T14:26:41.000Z","updated_at":"2023-12-15T10:32:53.792Z","metadata":{"doi":"10.25504/FAIRsharing.l0p1Oi","name":"Beilstein Archives","status":"ready","contacts":[{"contact_name":"Wendy Patterson","contact_email":"wpatterson@beilstein-institut.de"}],"homepage":"https://www.beilstein-archives.org/xiv/","identifier":2724,"description":"This repository is currently limited to preprints related to the Beilstein Journal of Nanotechnology and the Beilstein Journal of Organic Chemistry. All preprints are posted with a CC-BY 4.0 license.","abbreviation":null,"data_curation":{"type":"none"},"year_creation":2019,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.beilstein-archives.org/xiv/submission","type":"open","notes":"Only preprints that are submitted as manuscripts to the Beilstein Journal of Organic Chemistry or the Beilstein Journal of Nanotechnology can be submited."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001222","bsg-d001222"],"name":"FAIRsharing record for: Beilstein Archives","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.l0p1Oi","doi":"10.25504/FAIRsharing.l0p1Oi","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This repository is currently limited to preprints related to the Beilstein Journal of Nanotechnology and the Beilstein Journal of Organic Chemistry. All preprints are posted with a CC-BY 4.0 license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Organic Chemistry","Nanotechnology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["preprints"],"countries":["Germany"],"publications":[],"licence_links":[],"grants":[{"id":3300,"fairsharing_record_id":2724,"organisation_id":195,"relation":"maintains","created_at":"2021-09-30T09:26:12.708Z","updated_at":"2021-09-30T09:26:12.708Z","grant_id":null,"is_lead":true,"saved_state":{"id":195,"name":"Beilstein-Institut, Frankfurt am Main, Germany","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2725","type":"fairsharing_records","attributes":{"created_at":"2019-01-29T10:18:51.000Z","updated_at":"2023-12-15T10:32:18.434Z","metadata":{"doi":"10.25504/FAIRsharing.xfUA7e","name":"Determination of Ectomycorrhizae","status":"ready","contacts":[{"contact_name":"Dagmar Triebel","contact_email":"triebel@snsb.de"}],"homepage":"http://www.deemy.de/","citations":[{"doi":"https://doi.org/10.1007/s005720050171","publication_id":2074}],"identifier":2725,"description":"DEEMY collects descriptive data on ectomycorrhizae, including extant character descriptions and definitions. Ectomycorrhizae are mutualistic structures formed by fungi and the roots of forest trees. They are predominantly found in the temperate and boreal climate zones but occur also in humid tropic regions, as well as in soils of poor nutrition. Without mycorrhizae, trees would not be able to take up water and minerals. Ectomycorrhizae show a wide range of anatomical diversity which represents their possible function in tree nutrition and ecology. Their anatomical data, in general, allow a quick determination and provide at the same time ecologically important information about possible functions for tree nutrition.","abbreviation":"DEEMY","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.deemy.de/About/About.html","name":"About","type":"Help documentation"},{"url":"http://www.deemy.de/About/Impressum.cfm","name":"DEEMY Imprint","type":"Help documentation"}],"year_creation":1996,"data_versioning":"no","associated_tools":[{"url":"http://www.navikey.net/","name":"NaviKey 5"},{"url":"http://www.deemy.de/Identification/Navikey/index.html","name":"DEEMY Identification"},{"url":"https://diversityworkbench.net/Portal/DiversityDescriptions","name":"DiversityDescriptions"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012561","name":"re3data:r3d100012561","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001223","bsg-d001223"],"name":"FAIRsharing record for: Determination of Ectomycorrhizae","abbreviation":"DEEMY","url":"https://fairsharing.org/10.25504/FAIRsharing.xfUA7e","doi":"10.25504/FAIRsharing.xfUA7e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DEEMY collects descriptive data on ectomycorrhizae, including extant character descriptions and definitions. Ectomycorrhizae are mutualistic structures formed by fungi and the roots of forest trees. They are predominantly found in the temperate and boreal climate zones but occur also in humid tropic regions, as well as in soils of poor nutrition. Without mycorrhizae, trees would not be able to take up water and minerals. Ectomycorrhizae show a wide range of anatomical diversity which represents their possible function in tree nutrition and ecology. Their anatomical data, in general, allow a quick determination and provide at the same time ecologically important information about possible functions for tree nutrition.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Life Science","Plant Anatomy"],"domains":["Phenotype"],"taxonomies":["Fungi","Viridiplantae"],"user_defined_tags":["Ectomycorrhizae","Plant Phenotypes and Traits"],"countries":["Germany"],"publications":[{"id":2074,"pubmed_id":null,"title":"DEEMY – the concept of a characterization and determination system for ectomycorrhizae","year":1997,"url":"http://doi.org/https://doi.org/10.1007/s005720050171","authors":"Rambold, G., Agerer, R.","journal":"Mycorrhiza 7: 113-116","doi":"https://doi.org/10.1007/s005720050171","created_at":"2021-09-30T08:26:13.831Z","updated_at":"2021-09-30T08:26:13.831Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":1455,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1456,"relation":"undefined"}],"grants":[{"id":3303,"fairsharing_record_id":2725,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:12.784Z","updated_at":"2021-09-30T09:26:12.784Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3306,"fairsharing_record_id":2725,"organisation_id":2582,"relation":"maintains","created_at":"2021-09-30T09:26:12.858Z","updated_at":"2021-09-30T09:26:12.858Z","grant_id":null,"is_lead":false,"saved_state":{"id":2582,"name":"SNSB, Botanische Staatssammlung Muenchen, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3302,"fairsharing_record_id":2725,"organisation_id":174,"relation":"maintains","created_at":"2021-09-30T09:26:12.758Z","updated_at":"2021-09-30T09:26:12.758Z","grant_id":null,"is_lead":true,"saved_state":{"id":174,"name":"Bavarian Natural History Collections, SNSB IT Center, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3304,"fairsharing_record_id":2725,"organisation_id":1731,"relation":"maintains","created_at":"2021-09-30T09:26:12.808Z","updated_at":"2021-09-30T09:26:12.808Z","grant_id":null,"is_lead":true,"saved_state":{"id":1731,"name":"Ludwig-Maximilians- University Munich, Faculty of Biology, Department I, Munich, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3305,"fairsharing_record_id":2725,"organisation_id":3020,"relation":"maintains","created_at":"2021-09-30T09:26:12.834Z","updated_at":"2021-09-30T09:26:12.834Z","grant_id":null,"is_lead":true,"saved_state":{"id":3020,"name":"University of Bayreuth, Department of Mycology, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9358,"fairsharing_record_id":2725,"organisation_id":333,"relation":"funds","created_at":"2022-04-11T12:07:32.852Z","updated_at":"2022-04-11T12:07:32.852Z","grant_id":null,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2726","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T14:01:28.000Z","updated_at":"2024-07-09T12:51:55.762Z","metadata":{"doi":"10.25504/FAIRsharing.oAJNHO","name":"An INtegrated Data warehouse of mIcrobial GenOmes","status":"deprecated","contacts":[{"contact_name":"Intikhab Alam","contact_email":"intikhab.alam@kaust.edu.sa"}],"homepage":"http://www.cbrc.kaust.edu.sa/indigo","citations":[{"doi":"10.1371/journal.pone.0082210","pubmed_id":24324765,"publication_id":2493}],"identifier":2726,"description":"INDIGO enables the integration of annotations for the exploration and analysis of newly sequenced microbial genomes.","abbreviation":"INDIGO","data_curation":{"url":"https://www.cbrc.kaust.edu.sa/indigo/dataCategories.do","type":"automated","notes":"List of the different data sources where the data was downloaded"},"support_links":[{"url":"http://www.cbrc.kaust.edu.sa/indigo/team.do","name":"INDIGO Team","type":"Help documentation"},{"url":"http://www.cbrc.kaust.edu.sa/indigo/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://www.cbrc.kaust.edu.sa/indigo/blast.do","name":"BLAST Interface to INDIGO"}],"deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001224","bsg-d001224"],"name":"FAIRsharing record for: An INtegrated Data warehouse of mIcrobial GenOmes","abbreviation":"INDIGO","url":"https://fairsharing.org/10.25504/FAIRsharing.oAJNHO","doi":"10.25504/FAIRsharing.oAJNHO","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: INDIGO enables the integration of annotations for the exploration and analysis of newly sequenced microbial genomes.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11689},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12824}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Integration","Genomics","Life Science","Microbiology"],"domains":["Genome annotation","Gene","Genome"],"taxonomies":["Haloplasma contractile","Halorhabdus tiamatea","Salinisphaera shabanensis"],"user_defined_tags":[],"countries":["Saudi Arabia"],"publications":[{"id":2493,"pubmed_id":24324765,"title":"INDIGO - INtegrated data warehouse of microbial genomes with examples from the red sea extremophiles.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0082210","authors":"Alam I,Antunes A,Kamau AA,Ba Alawi W,Kalkatawi M,Stingl U,Bajic VB","journal":"PLoS One","doi":"10.1371/journal.pone.0082210","created_at":"2021-09-30T08:27:05.745Z","updated_at":"2021-09-30T08:27:05.745Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1475,"relation":"undefined"}],"grants":[{"id":3307,"fairsharing_record_id":2726,"organisation_id":583,"relation":"maintains","created_at":"2021-09-30T09:26:12.884Z","updated_at":"2021-09-30T09:26:12.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":583,"name":"Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Saudi Arabia","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3308,"fairsharing_record_id":2726,"organisation_id":2411,"relation":"maintains","created_at":"2021-09-30T09:26:12.917Z","updated_at":"2021-09-30T09:26:12.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":2411,"name":"Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Saudi Arabia","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2740","type":"fairsharing_records","attributes":{"created_at":"2018-12-14T11:25:18.000Z","updated_at":"2024-06-11T10:26:54.354Z","metadata":{"doi":"10.25504/FAIRsharing.blUMRx","name":"Genome-Wide Association Studies Catalog","status":"ready","contacts":[{"contact_name":"GWAS Catalog Helpdesk","contact_email":"gwas-info@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/gwas/","citations":[{"doi":"10.1093/nar/gky1120","pubmed_id":30445434,"publication_id":2761}],"identifier":2740,"description":"The Genome-Wide Association Studies (GWAS) Catalog provides a consistent, searchable, visualisable and freely available database of published SNP-trait associations, which can be easily integrated with other resources, and is accessed by scientists, clinicians and other users worldwide. Within the Catalog, all eligible GWA studies are identified by literature search and assessed by curators, who then extract the reported trait, significant SNP-trait associations, and sample metadata. The Catalog also publishes a GWAS diagram of SNP-trait associations, mapped onto the human genome by chromosomal location and displayed on the human karyotype. Since 2010, delivery and development of the Catalog has been a collaborative project between the EMBL-EBI and NHGRI. Since 2108 we have accepted statistics files for eligible publications, these can be submitted prior to publication. https://www.ebi.ac.uk/gwas/deposition","abbreviation":"GWAS Catalog","data_curation":{"url":"https://www.ebi.ac.uk/gwas/docs/about","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/gwas/docs/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ebi.ac.uk/gwas/docs/about","name":"About the GWAS Catalog","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/downloads/summary-statistics","name":"Summary Statistics","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/docs","name":"Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/ancestry","name":"Ancestry Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/gwas/docs/related-resources","name":"GWAS Training Materials","type":"Training documentation"},{"url":"https://twitter.com/GWASCatalog","name":"@GWASCatalog","type":"Twitter"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"https://www.ebi.ac.uk/gwas/diagram","name":"GWAS Diagram"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100014209","name":"re3data:r3d100014209","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_012745","name":"SciCrunch:RRID:SCR_012745","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/gwas/deposition","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001238","bsg-d001238"],"name":"FAIRsharing record for: Genome-Wide Association Studies Catalog","abbreviation":"GWAS Catalog","url":"https://fairsharing.org/10.25504/FAIRsharing.blUMRx","doi":"10.25504/FAIRsharing.blUMRx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome-Wide Association Studies (GWAS) Catalog provides a consistent, searchable, visualisable and freely available database of published SNP-trait associations, which can be easily integrated with other resources, and is accessed by scientists, clinicians and other users worldwide. Within the Catalog, all eligible GWA studies are identified by literature search and assessed by curators, who then extract the reported trait, significant SNP-trait associations, and sample metadata. The Catalog also publishes a GWAS diagram of SNP-trait associations, mapped onto the human genome by chromosomal location and displayed on the human karyotype. Since 2010, delivery and development of the Catalog has been a collaborative project between the EMBL-EBI and NHGRI. Since 2108 we have accepted statistics files for eligible publications, these can be submitted prior to publication. https://www.ebi.ac.uk/gwas/deposition","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12830},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16199},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20007}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Comparative Genomics"],"domains":["Single nucleotide polymorphism","Genome-wide association study"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":2465,"pubmed_id":27899670,"title":"The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog).","year":2016,"url":"http://doi.org/10.1093/nar/gkw1133","authors":"MacArthur J,Bowler E,Cerezo M,Gil L,Hall P,Hastings E,Junkins H,McMahon A,Milano A,Morales J,Pendlington ZM,Welter D,Burdett T,Hindorff L,Flicek P,Cunningham F,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1133","created_at":"2021-09-30T08:27:02.266Z","updated_at":"2021-09-30T11:29:36.844Z"},{"id":2761,"pubmed_id":30445434,"title":"The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky1120","authors":"Buniello A,MacArthur JAL,Cerezo M,Harris LW,Hayhurst J,Malangone C,McMahon A,Morales J,Mountjoy E,Sollis E,Suveges D,Vrousgou O,Whetzel PL,Amode R,Guillen JA,Riat HS,Trevanion SJ,Hall P,Junkins H,Flicek P,Burdett T,Hindorff LA,Cunningham F,Parkinson H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1120","created_at":"2021-09-30T08:27:39.385Z","updated_at":"2021-09-30T11:29:43.029Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1062,"relation":"undefined"}],"grants":[{"id":3335,"fairsharing_record_id":2740,"organisation_id":1998,"relation":"maintains","created_at":"2021-09-30T09:26:13.824Z","updated_at":"2021-09-30T09:26:13.824Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3333,"fairsharing_record_id":2740,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:13.777Z","updated_at":"2021-09-30T09:26:13.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3334,"fairsharing_record_id":2740,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:13.800Z","updated_at":"2021-09-30T09:31:19.875Z","grant_id":1122,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute","grant":"2U41HG007823","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbElEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--72e2f2f3bb293cbdff6fc39b366ebe218970f802/GWAS_Cat_loho.jpeg?disposition=inline","exhaustive_licences":false}},{"id":"2741","type":"fairsharing_records","attributes":{"created_at":"2018-12-14T12:15:28.000Z","updated_at":"2023-05-05T10:57:21.692Z","metadata":{"doi":"10.25504/FAIRsharing.33269d","name":"Human Transcriptional Regulation Interactions database","status":"deprecated","contacts":[{"contact_name":"Ney Lemke","contact_email":"ney.lemke@unesp.br","contact_orcid":null}],"homepage":"http://www.lbbc.ibb.unesp.br/htri/index.jsp","citations":[{"doi":"10.1186/1471-2164-13-405","pubmed_id":22900683,"publication_id":2487}],"identifier":2741,"description":"The Human Transcriptional Regulation Interactions database (HTRIdb) is a repository of experimentally verified interactions among human transcription factors (TFs) and their respective target genes. It has been constructed to be an open-access and user-friendly database from which data on regulatory interactions among human TFs and their respective target genes can be easily extracted and then used, among other purposes, for building a global or a biological process-specific network of human transcriptional regulation interactions.","abbreviation":"HTRIdb","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.lbbc.ibb.unesp.br/htri/ava.jsp?f=n","name":"Contact Form","type":"Contact form"},{"url":"http://www.lbbc.ibb.unesp.br/htri/statistics.jsp","name":"Statistics","type":"Help documentation"},{"url":"http://www.lbbc.ibb.unesp.br/htri/tutorial.jsp","name":"Tutorial","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001239","bsg-d001239"],"name":"FAIRsharing record for: Human Transcriptional Regulation Interactions database","abbreviation":"HTRIdb","url":"https://fairsharing.org/10.25504/FAIRsharing.33269d","doi":"10.25504/FAIRsharing.33269d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Transcriptional Regulation Interactions database (HTRIdb) is a repository of experimentally verified interactions among human transcription factors (TFs) and their respective target genes. It has been constructed to be an open-access and user-friendly database from which data on regulatory interactions among human TFs and their respective target genes can be easily extracted and then used, among other purposes, for building a global or a biological process-specific network of human transcriptional regulation interactions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12831}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science"],"domains":["Experimental measurement","Regulation of gene expression","Biological regulation","Molecular interaction","Transcription factor","Experimentally determined","Regulatory region","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Brazil"],"publications":[{"id":2487,"pubmed_id":22900683,"title":"HTRIdb: an open-access database for experimentally verified human transcriptional regulation interactions.","year":2012,"url":"http://doi.org/10.1186/1471-2164-13-405","authors":"Bovolenta LA,Acencio ML,Lemke N","journal":"BMC Genomics","doi":"10.1186/1471-2164-13-405","created_at":"2021-09-30T08:27:04.930Z","updated_at":"2021-09-30T08:27:04.930Z"}],"licence_links":[],"grants":[{"id":3336,"fairsharing_record_id":2741,"organisation_id":1666,"relation":"maintains","created_at":"2021-09-30T09:26:13.850Z","updated_at":"2021-09-30T09:26:13.850Z","grant_id":null,"is_lead":true,"saved_state":{"id":1666,"name":"Laboratorio de Bioinformatica e Biofisica Computacional, Departamento de Fisica e Biofisica, Instituto de Biociencias de Botucatu, Brazil","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2742","type":"fairsharing_records","attributes":{"created_at":"2018-12-14T13:50:55.000Z","updated_at":"2023-12-15T10:31:33.539Z","metadata":{"doi":"10.25504/FAIRsharing.c7edd8","name":"Human Genetic Variation Database","status":"ready","contacts":[{"contact_name":"HGVD Helpdesk","contact_email":"hgvd@genome.med.kyoto-u.ac.jp"}],"homepage":"http://www.hgvd.genome.med.kyoto-u.ac.jp/","citations":[{"doi":"10.1038/jhg.2016.12","pubmed_id":26911352,"publication_id":2503}],"identifier":2742,"description":"The Human Genetic Variation Database (HGVD) aims to provide a central resource to archive and display Japanese genetic variation and association between the variation and transcription level of genes. The database currently contains genetic variations determined by exome sequencing of 1,208 individuals and genotyping data of common variations obtained from a cohort of 3,248 individuals. The HGVD browser can be used to view allele and genotype frequencies, number of samples, coverages, and expression QTL (eQTL) significances.","abbreviation":"HGVD","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/manual.html","name":"HGVD User Manual","type":"Help documentation"},{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/about.html","name":"About HGVD","type":"Help documentation"},{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/statistics.html","name":"HGVD Statistics","type":"Help documentation"},{"url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/link.html","name":"Associated Links","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012433","name":"re3data:r3d100012433","portal":"re3data"}],"data_access_condition":{"url":"https://www.hgvd.genome.med.kyoto-u.ac.jp/repository.html","type":"partially open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001240","bsg-d001240"],"name":"FAIRsharing record for: Human Genetic Variation Database","abbreviation":"HGVD","url":"https://fairsharing.org/10.25504/FAIRsharing.c7edd8","doi":"10.25504/FAIRsharing.c7edd8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Genetic Variation Database (HGVD) aims to provide a central resource to archive and display Japanese genetic variation and association between the variation and transcription level of genes. The database currently contains genetic variations determined by exome sequencing of 1,208 individuals and genotyping data of common variations obtained from a cohort of 3,248 individuals. The HGVD browser can be used to view allele and genotype frequencies, number of samples, coverages, and expression QTL (eQTL) significances.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12832}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science","Comparative Genomics"],"domains":["Genome visualization","Transcript","Gene","Quantitative trait loci","Genome","Sequence variant"],"taxonomies":["Homo sapiens"],"user_defined_tags":["genomic variation"],"countries":["Japan"],"publications":[{"id":2503,"pubmed_id":26911352,"title":"Human genetic variation database, a reference database of genetic variations in the Japanese population.","year":2016,"url":"http://doi.org/10.1038/jhg.2016.12","authors":"Higasa K,Miyake N,Yoshimura J,Okamura K,Niihori T,Saitsu H,Doi K,Shimizu M,Nakabayashi K,Aoki Y,Tsurusaki Y,Morishita S,Kawaguchi T,Migita O,Nakayama K,Nakashima M,Mitsui J,Narahara M,Hayashi K,Funayama R,Yamaguchi D,Ishiura H,Ko WY,Hata K,Nagashima T,Yamada R,Matsubara Y,Umezawa A,Tsuji S,Matsumoto N,Matsuda F","journal":"J Hum Genet","doi":"10.1038/jhg.2016.12","created_at":"2021-09-30T08:27:07.213Z","updated_at":"2021-09-30T08:27:07.213Z"}],"licence_links":[{"licence_name":"HGVD Terms of Use","licence_id":391,"licence_url":"http://www.hgvd.genome.med.kyoto-u.ac.jp/about.html","link_id":1321,"relation":"undefined"}],"grants":[{"id":3337,"fairsharing_record_id":2742,"organisation_id":1654,"relation":"maintains","created_at":"2021-09-30T09:26:13.877Z","updated_at":"2021-09-30T09:26:13.877Z","grant_id":null,"is_lead":true,"saved_state":{"id":1654,"name":"Kyoto University, Kyoto, Japan","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3338,"fairsharing_record_id":2742,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:26:13.900Z","updated_at":"2021-09-30T09:32:21.486Z","grant_id":1583,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","grant":"Research Grant (201238002A) for Intractable Diseases","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2727","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T14:24:21.000Z","updated_at":"2023-06-22T18:01:06.049Z","metadata":{"doi":"10.25504/FAIRsharing.w7Yuyx","name":"PhytoMine","status":"ready","homepage":"https://phytozome.jgi.doe.gov/phytomine/","identifier":2727,"description":"An InterMine interface to data from Phytozome","abbreviation":"PhytoMine","data_curation":{"url":"https://phytozome-next.jgi.doe.gov/phytomine/begin.do","type":"manual/automated","notes":"Data generated from automatic pipelines but also from members of the community"},"support_links":[{"url":"https://phytozome.jgi.doe.gov/intermine/start.html","name":"PhytoMine Help Pages","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001225","bsg-d001225"],"name":"FAIRsharing record for: PhytoMine","abbreviation":"PhytoMine","url":"https://fairsharing.org/10.25504/FAIRsharing.w7Yuyx","doi":"10.25504/FAIRsharing.w7Yuyx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An InterMine interface to data from Phytozome","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11690},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12825}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["Expression data","Gene expression","Protein","Transcript","Amino acid sequence","Orthologous","Paralogous"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1248,"relation":"undefined"}],"grants":[{"id":3309,"fairsharing_record_id":2727,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:26:12.942Z","updated_at":"2021-09-30T09:26:12.942Z","grant_id":null,"is_lead":true,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2728","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T14:45:28.000Z","updated_at":"2023-11-21T13:45:50.126Z","metadata":{"doi":"10.25504/FAIRsharing.84Ltoq","name":"PlanMine","status":"ready","contacts":[{"contact_name":"Jochen C Rink","contact_email":"rink@mpi-cbg.de"},{"contact_name":"General Contact","contact_email":"planmine@mpibpc.mpg.de","contact_orcid":null}],"homepage":"http://planmine.mpibpc.mpg.de/planmine/begin.do","citations":[{"doi":"10.1093/nar/gky1070","pubmed_id":30496475,"publication_id":2368}],"identifier":2728,"description":"PlanMine is an integrated web resource of data \u0026 tools to mine Planarian biology. Transcriptomes and the genome of the planarian model species S. mediterranea are available, as well as transcriptomes of “wild” planarian species and a broad range of parasitic and non-parasitic flatworms for comparative analysis. PlanMine can be searched by sequence (using BLAST) or by annotation. Mineable information includes BLAST homologies, GO-terms, orthologues in other planarian species, gene expression information and taxonomic information on the represented species.","abbreviation":"PlanMine","data_curation":{"url":"https://doi.org/10.1093%2Fnar%2Fgky1070","type":"automated"},"support_links":[{"url":"https://planmine.mpibpc.mpg.de/planmine/user_guide.html","name":"PlanMine User Guide","type":"Help documentation"},{"url":"https://groups.google.com/forum/#!forum/planmine-news","name":"PlanMine News","type":"Help documentation"},{"url":"https://planmine.mpibpc.mpg.de/planmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://planmine.mpibpc.mpg.de/planmine/community.do#ad-image-0","name":"Community","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"https://planmine.mpibpc.mpg.de/planmine/blast.do","name":"BLAST for PlanMine"},{"url":"https://planmine.mpibpc.mpg.de/planmine/genome.do","name":"UCSC Genome Browser View"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://planmine.mpibpc.mpg.de/planmine/user_guide.html#submit-data-to-planmine","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001226","bsg-d001226"],"name":"FAIRsharing record for: PlanMine","abbreviation":"PlanMine","url":"https://fairsharing.org/10.25504/FAIRsharing.84Ltoq","doi":"10.25504/FAIRsharing.84Ltoq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PlanMine is an integrated web resource of data \u0026 tools to mine Planarian biology. Transcriptomes and the genome of the planarian model species S. mediterranea are available, as well as transcriptomes of “wild” planarian species and a broad range of parasitic and non-parasitic flatworms for comparative analysis. PlanMine can be searched by sequence (using BLAST) or by annotation. Mineable information includes BLAST homologies, GO-terms, orthologues in other planarian species, gene expression information and taxonomic information on the represented species.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11691}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Contig","Transcript","Gene"],"taxonomies":["Bothrioplana semperi","Dendrocoelum lacteum","Dugesia japonica","Echinococcus granulosus","Echinococcus multilocularis","Geocentrophora applanata","Gnosonesimida sp. IV CEL-2015","Hymenolepis microstoma","Kronborgia cf. amphipodicola CEL-2017","Macrostomum lignano","Microstomum lineare","Planaria torva","Polycelis nigra","Polycelis tenuis","Prorhynchus alpinus","Prostheceraeus vittatus","Protomonotresidae sp. n. CEL-2015","Rhychomesostoma rostratum","Schistosoma mansoni","Schmidtea mediterranea","Schmidtea mediterranea S2F2","Schmidtea polychroa","Stylochus ellipticus","Taenia solium"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2368,"pubmed_id":30496475,"title":"PlanMine 3.0-improvements to a mineable resource of flatworm biology and biodiversity.","year":2018,"url":"http://doi.org/10.1093/nar/gky1070","authors":"Rozanski A,Moon H,Brandl H,Martin-Duran JM,Grohme MA,Huttner K,Bartscherer K,Henry I,Rink JC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1070","created_at":"2021-09-30T08:26:51.167Z","updated_at":"2021-09-30T11:29:34.211Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":784,"relation":"undefined"}],"grants":[{"id":3310,"fairsharing_record_id":2728,"organisation_id":1796,"relation":"maintains","created_at":"2021-09-30T09:26:12.966Z","updated_at":"2021-09-30T09:26:12.966Z","grant_id":null,"is_lead":true,"saved_state":{"id":1796,"name":"Max Plank Institute of Molecular Cell Biology and Genetics (MPI-CBG), Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3311,"fairsharing_record_id":2728,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:12.992Z","updated_at":"2021-09-30T09:32:21.130Z","grant_id":1580,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"European Union's Horizon 2020 (grant agreement number 649024)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaG9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--986c01ceeba724469426734ed2d4fc490a4e65ca/planmine.png?disposition=inline","exhaustive_licences":false}},{"id":"2737","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T12:58:53.000Z","updated_at":"2023-12-15T10:33:05.666Z","metadata":{"doi":"10.25504/FAIRsharing.4Vs9VM","name":"The International Genome Sample Resource","status":"ready","contacts":[{"contact_name":"General Information","contact_email":"info@1000genomes.org"}],"homepage":"https://www.internationalgenome.org/","citations":[{"doi":"10.1093/nar/gkz836","pubmed_id":31584097,"publication_id":2779}],"identifier":2737,"description":"The International Genome Sample Resource (IGSR) was established to ensure the ongoing usability of data generated by the 1000 Genomes Project and to extend the data set. The 1000 Genomes Project ran between 2008 and 2015, creating the largest public catalogue of human variation and genotype data. As the project ended, the Data Coordination Centre at EMBL-EBI has received continued funding from the Wellcome Trust to maintain and expand the resource. IGSR was set up to do this and has the following aims: ensure the future access to and usability of the 1000 Genomes reference data; incorporate additional published genomic data on the 1000 Genomes samples; and expand the data collection to include new populations not represented in the 1000 Genomes Project.","abbreviation":"IGSR","data_curation":{"type":"not found"},"support_links":[{"url":"info@1000genomes.org","name":"Email helpdesk","type":"Support email"},{"url":"https://www.internationalgenome.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.internationalgenome.org/1000-genomes-browsers","name":"How To Access IGSR via Genome Browsers","type":"Help documentation"},{"url":"https://www.internationalgenome.org/about","name":"About IGSR","type":"Help documentation"},{"url":"https://www.internationalgenome.org/sample_collection_principles","name":"Sample Collection Principles","type":"Help documentation"},{"url":"https://www.internationalgenome.org/tools","name":"Software Used","type":"Help documentation"},{"url":"https://www.internationalgenome.org/data#download","name":"How to Download Data","type":"Help documentation"},{"url":"https://www.internationalgenome.org/announcements","name":"Announcements","type":"Help documentation"},{"url":"https://www.internationalgenome.org/data","name":"Using Data","type":"Help documentation"},{"url":"https://www.internationalgenome.org/formats","name":"Supported File Formats","type":"Help documentation"},{"url":"https://www.internationalgenome.org/analysis","name":"Analysis Pipeline","type":"Help documentation"},{"url":"https://twitter.com/1000genomes","name":"@1000genomes","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"http://grch37.ensembl.org/info/docs/tools/index.html","name":"Ensembl tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010180","name":"re3data:r3d100010180","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006828","name":"SciCrunch:RRID:SCR_006828","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.internationalgenome.org/data-portal/sample","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001235","bsg-d001235"],"name":"FAIRsharing record for: The International Genome Sample Resource","abbreviation":"IGSR","url":"https://fairsharing.org/10.25504/FAIRsharing.4Vs9VM","doi":"10.25504/FAIRsharing.4Vs9VM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Genome Sample Resource (IGSR) was established to ensure the ongoing usability of data generated by the 1000 Genomes Project and to extend the data set. The 1000 Genomes Project ran between 2008 and 2015, creating the largest public catalogue of human variation and genotype data. As the project ended, the Data Coordination Centre at EMBL-EBI has received continued funding from the Wellcome Trust to maintain and expand the resource. IGSR was set up to do this and has the following aims: ensure the future access to and usability of the 1000 Genomes reference data; incorporate additional published genomic data on the 1000 Genomes samples; and expand the data collection to include new populations not represented in the 1000 Genomes Project.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12829}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Comparative Genomics"],"domains":["Genome visualization","Genome","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":["genomic variation"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2496,"pubmed_id":26432245,"title":"A global reference for human genetic variation.","year":2015,"url":"http://doi.org/10.1038/nature15393","authors":"Auton A,Brooks LD,Durbin RM,Garrison EP,Kang HM,Korbel JO,Marchini JL,McCarthy S,McVean GA,Abecasis GR","journal":"Nature","doi":"10.1038/nature15393","created_at":"2021-09-30T08:27:06.070Z","updated_at":"2021-09-30T08:27:06.070Z"},{"id":2779,"pubmed_id":31584097,"title":"The International Genome Sample Resource (IGSR) collection of open human genomic variation resources.","year":2019,"url":"http://doi.org/10.1093/nar/gkz836","authors":"Fairley S,Lowy-Gallego E,Perry E,Flicek P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz836","created_at":"2021-09-30T08:27:41.626Z","updated_at":"2021-09-30T11:29:44.188Z"}],"licence_links":[{"licence_name":"International Genome Sample Resource (IGSR) Disclaimer, Privacy and Cookies","licence_id":445,"licence_url":"https://www.internationalgenome.org/IGSR_disclaimer","link_id":1888,"relation":"undefined"}],"grants":[{"id":3329,"fairsharing_record_id":2737,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:13.642Z","updated_at":"2021-09-30T09:26:13.642Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3330,"fairsharing_record_id":2737,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:13.673Z","updated_at":"2021-09-30T09:32:45.820Z","grant_id":1767,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT104947/Z/14/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2739","type":"fairsharing_records","attributes":{"created_at":"2019-03-05T11:10:11.000Z","updated_at":"2022-07-20T12:38:41.662Z","metadata":{"doi":"10.25504/FAIRsharing.EtYkWo","name":"Banana Breeding Tracker Database","status":"deprecated","contacts":[{"contact_name":"The Director, ICAR-National Research Centre for Banana","contact_email":"directornrcb@gmail.com"}],"homepage":"http://nrcbbioinfo.byethost33.com/bbtbase/index.php","identifier":2739,"description":"The Banana Breeding Tracker Database (BBTbase) is a database of banana breeding information and allows users to input data from multiple stages in banana crop production, including hybridization, seed extraction, culturing, and hardening. This database also provides quick responsive (QR) codes for labelling. BBTbase has been developed at ICAR-NRCB to monitor banana breeding programs.","abbreviation":"BBTbase","data_curation":{"type":"not found"},"support_links":[{"url":"http://nrcbbioinfo.byethost33.com/bbtbase/about.php","name":"Contact Form","type":"Contact form"}],"year_creation":2018,"data_versioning":"not found","deprecation_date":"2021-9-22","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001237","bsg-d001237"],"name":"FAIRsharing record for: Banana Breeding Tracker Database","abbreviation":"BBTbase","url":"https://fairsharing.org/10.25504/FAIRsharing.EtYkWo","doi":"10.25504/FAIRsharing.EtYkWo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Banana Breeding Tracker Database (BBTbase) is a database of banana breeding information and allows users to input data from multiple stages in banana crop production, including hybridization, seed extraction, culturing, and hardening. This database also provides quick responsive (QR) codes for labelling. BBTbase has been developed at ICAR-NRCB to monitor banana breeding programs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Plant Breeding","Agriculture","Plant Cultivation"],"domains":["Life cycle stage"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":3332,"fairsharing_record_id":2739,"organisation_id":1330,"relation":"maintains","created_at":"2021-09-30T09:26:13.744Z","updated_at":"2021-09-30T09:26:13.744Z","grant_id":null,"is_lead":true,"saved_state":{"id":1330,"name":"Indian Council of Agricultural Research (ICAR) - National Research Centre for Banana, India","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2733","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T11:09:42.000Z","updated_at":"2024-06-11T10:26:50.855Z","metadata":{"doi":"10.25504/FAIRsharing.250fc8","name":"Hymenoptera Genome Database","status":"ready","contacts":[{"contact_email":"hymenopteragenomedatabase@gmail.com"}],"homepage":"http://hymenopteragenome.org/","citations":[{"doi":"10.1093/nar/gkv1208","pubmed_id":26578564,"publication_id":2335}],"identifier":2733,"description":"The Hymenoptera Genome Database (HGD) is a genome informatics resource that supports the research of insects of the order Hymenoptera (e.g. bees, wasps, ants). HGD is divided into three main divisions: BeeBase, which hosts bee genomes and the Bee Pests and Pathogens resource; NasoniaBase, which hosts the genome of the Jewel wasp (Nasonia vitripennis); and the Ant Genomes Portal, which hosts the genomes of several ant species.","abbreviation":"HGD","data_curation":{"type":"not found"},"support_links":[{"url":"http://hymenopteragenome.org/?q=about","name":"About HGD","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"http://hymenopteragenome.org/ant_genomes/","name":"Ant Genomes Portal"},{"url":"http://hymenopteragenome.org/nasonia/","name":"NasoniaBase"},{"url":"http://hymenopteragenome.org/beebase/","name":"BeeBase"},{"url":"http://hymenopteragenome.org/hymenopteramine/begin.do","name":"HymenopteraMine v1.4"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010925","name":"re3data:r3d100010925","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_008966","name":"SciCrunch:RRID:SCR_008966","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://hymenoptera.elsiklab.missouri.edu/contributing_data","type":"controlled","notes":"New gene sets and assemblies must have been submitted to NCBI."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001231","bsg-d001231"],"name":"FAIRsharing record for: Hymenoptera Genome Database","abbreviation":"HGD","url":"https://fairsharing.org/10.25504/FAIRsharing.250fc8","doi":"10.25504/FAIRsharing.250fc8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Hymenoptera Genome Database (HGD) is a genome informatics resource that supports the research of insects of the order Hymenoptera (e.g. bees, wasps, ants). HGD is divided into three main divisions: BeeBase, which hosts bee genomes and the Bee Pests and Pathogens resource; NasoniaBase, which hosts the genome of the Jewel wasp (Nasonia vitripennis); and the Ant Genomes Portal, which hosts the genomes of several ant species.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15727}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science"],"domains":["Genome visualization","Genome"],"taxonomies":["Acromyrmex echinatior","Apis","Apis cerana","Apis dorsata","Apis florea","Apis mellifera","Atta Cephalotes","Bombus","Bombus impatiens","Bombus terrestris","Camponotus floridanus","Cardiocondyla obscurior","Ceratina calcarata","Cobria biroi","Drosophila","Dufourea novaeangliae","Erlandia mexicana","Habropoda laboriosa","Harpegnathos saltator","Lasioglossum albipes","Linepithema humile","Megachile rotundata","Melipona quadrifasciata","Monomorium pharaonis","Nasonia vitripennis","Pogonomyrmex barbatus","Solenopsis invicta","Wasmannia auropunctata"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2335,"pubmed_id":26578564,"title":"Hymenoptera Genome Database: integrating genome annotations in HymenopteraMine.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1208","authors":"Elsik CG,Tayal A,Diesh CM,Unni DR,Emery ML,Nguyen HN,Hagen DE","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1208","created_at":"2021-09-30T08:26:46.726Z","updated_at":"2021-09-30T11:29:33.303Z"}],"licence_links":[{"licence_name":"HGD Data Usage Policy","licence_id":390,"licence_url":"http://hymenopteragenome.org/?q=data_usage_policy","link_id":1443,"relation":"undefined"}],"grants":[{"id":3322,"fairsharing_record_id":2733,"organisation_id":3098,"relation":"maintains","created_at":"2021-09-30T09:26:13.408Z","updated_at":"2021-09-30T09:26:13.408Z","grant_id":null,"is_lead":true,"saved_state":{"id":3098,"name":"University of Missouri, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3321,"fairsharing_record_id":2733,"organisation_id":44,"relation":"funds","created_at":"2021-09-30T09:26:13.385Z","updated_at":"2021-09-30T09:30:23.992Z","grant_id":695,"is_lead":false,"saved_state":{"id":44,"name":"Agriculture and Food Research Initiative (AFRI), National Institute of Food and Agriculture, Washington, DC, USA","grant":"Agriculture and Food Research Initiative Competitive grant no. 2018-67013-27536","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3320,"fairsharing_record_id":2733,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:13.352Z","updated_at":"2021-09-30T09:31:59.436Z","grant_id":1419,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","grant":"USDA Hatch Project 1009273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8367,"fairsharing_record_id":2733,"organisation_id":44,"relation":"funds","created_at":"2021-09-30T09:32:17.871Z","updated_at":"2021-09-30T09:32:17.925Z","grant_id":1554,"is_lead":false,"saved_state":{"id":44,"name":"Agriculture and Food Research Initiative (AFRI), National Institute of Food and Agriculture, Washington, DC, USA","grant":"Agriculture and Food Research Initiative Competitive grant no. 2010-65205-20407","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2734","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T11:20:18.000Z","updated_at":"2023-12-15T10:31:59.140Z","metadata":{"doi":"10.25504/FAIRsharing.83d06b","name":"Phytozome","status":"ready","contacts":[{"contact_name":"David M Goodstein","contact_email":"dmgoodstein@lbl.gov","contact_orcid":"0000-0001-6287-2697"}],"homepage":"https://phytozome.jgi.doe.gov/pz/portal.html","identifier":2734,"description":"Phytozome, the Plant Comparative Genomics portal of the Department of Energy's Joint Genome Institute, provides JGI users and the broader plant science community a hub for accessing, visualizing and analyzing JGI-sequenced plant genomes, as well as selected genomes and datasets that have been sequenced elsewhere. Search and visualization tools let users quickly find and analyze genes or genomic regions of interest.","abbreviation":"Phytozome","data_curation":{"url":"https://phytozome-next.jgi.doe.gov/","type":"manual/automated"},"support_links":[{"url":"https://phytozome.jgi.doe.gov/pz/portal.html#!news","name":"Phytozome News","type":"Blog/News"},{"url":"jschmutz@hudsonalpha.org","name":"Jeremy Schmutz","type":"Support email"},{"url":"phytozome@jgi-psf.org","name":"General Contact","type":"Support email"},{"url":"https://phytozome.jgi.doe.gov/pz/FAQ.html","name":"Phytozome FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://phytozome.jgi.doe.gov/pz/QuickStart.html","name":"Phytozome Quick Start","type":"Help documentation"},{"url":"sympa@lists.lbl.gov","name":"LBL Mailing list","type":"Mailing list"},{"url":"https://phytozome.jgi.doe.gov/pz/portal.html#!releaseNotes","name":"Phytozome Release Notes","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010850","name":"re3data:r3d100010850","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006507","name":"SciCrunch:RRID:SCR_006507","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001232","bsg-d001232"],"name":"FAIRsharing record for: Phytozome","abbreviation":"Phytozome","url":"https://fairsharing.org/10.25504/FAIRsharing.83d06b","doi":"10.25504/FAIRsharing.83d06b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Phytozome, the Plant Comparative Genomics portal of the Department of Energy's Joint Genome Institute, provides JGI users and the broader plant science community a hub for accessing, visualizing and analyzing JGI-sequenced plant genomes, as well as selected genomes and datasets that have been sequenced elsewhere. Search and visualization tools let users quickly find and analyze genes or genomic regions of interest.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Life Science","Comparative Genomics"],"domains":["Genome visualization","Gene","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2715,"pubmed_id":22110026,"title":"Phytozome: a comparative platform for green plant genomics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr944","authors":"Goodstein DM,Shu S,Howson R,Neupane R,Hayes RD,Fazo J,Mitros T,Dirks W,Hellsten U,Putnam N,Rokhsar DS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr944","created_at":"2021-09-30T08:27:33.411Z","updated_at":"2021-09-30T11:29:41.786Z"}],"licence_links":[{"licence_name":"JGI disclaimer","licence_id":470,"licence_url":"https://jgi.doe.gov/disclaimer/","link_id":1905,"relation":"undefined"}],"grants":[{"id":3323,"fairsharing_record_id":2734,"organisation_id":705,"relation":"maintains","created_at":"2021-09-30T09:26:13.434Z","updated_at":"2021-09-30T09:26:13.434Z","grant_id":null,"is_lead":true,"saved_state":{"id":705,"name":"Department of Energy Joint Genome Institute (DOE JGI), Lawrence Berkeley National Laboratory, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2735","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T12:12:26.000Z","updated_at":"2023-12-15T10:30:23.891Z","metadata":{"doi":"10.25504/FAIRsharing.9HiHNn","name":"WheatMine","status":"ready","contacts":[{"contact_email":"urgi-contact@inra.fr"}],"homepage":"https://urgi.versailles.inra.fr/WheatMine/begin.do","identifier":2735,"description":"WheatMine integrates many types of data for Triticum aestivum including gene model, markers, and scaffolds. You can run flexible queries, export results and analyse lists of data.","abbreviation":"WheatMine","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://urgi.versailles.inra.fr/WheatMine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001233","bsg-d001233"],"name":"FAIRsharing record for: WheatMine","abbreviation":"WheatMine","url":"https://fairsharing.org/10.25504/FAIRsharing.9HiHNn","doi":"10.25504/FAIRsharing.9HiHNn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WheatMine integrates many types of data for Triticum aestivum including gene model, markers, and scaffolds. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11696},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16732}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Genome"],"taxonomies":["Triticum aestivum"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":697,"relation":"undefined"}],"grants":[{"id":3324,"fairsharing_record_id":2735,"organisation_id":2919,"relation":"maintains","created_at":"2021-09-30T09:26:13.458Z","updated_at":"2021-09-30T09:26:13.458Z","grant_id":null,"is_lead":true,"saved_state":{"id":2919,"name":"Unité de Recherche Genomique Info (URGI), Institut National de la Recherche Agronomique (INRA), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2736","type":"fairsharing_records","attributes":{"created_at":"2018-12-13T12:31:27.000Z","updated_at":"2023-12-15T10:28:41.862Z","metadata":{"doi":"10.25504/FAIRsharing.a1de61","name":"The Track Hub Registry","status":"ready","contacts":[{"contact_name":"The Track Hub Registry Helpdesk","contact_email":"helpdesk@trackhubregistry.org"}],"homepage":"https://www.trackhubregistry.org/","citations":[],"identifier":2736,"description":"The Track Hub Registry is a global centralised collection of publicly accessible track hubs. Its goal is to allow third parties to advertise track hubs, and to make it easier for researchers around the world to discover and use track hubs containing different types of genomic research data.","abbreviation":null,"data_curation":{"url":"http://genome.ucsc.edu/goldenPath/help/hgTrackHubHelp.html#Setup","type":"automated","notes":"Automatic validation"},"support_links":[{"url":"https://www.trackhubregistry.org/help","name":"Contact Form","type":"Contact form"},{"url":"https://www.trackhubregistry.org/docs/search","name":"Search Documentation","type":"Help documentation"},{"url":"https://www.trackhubregistry.org/docs/management/overview","name":"Information on Registration","type":"Help documentation"},{"url":"https://www.trackhubregistry.org/about","name":"About the Track Hub Registry","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.trackhubregistry.org/","type":"open","notes":"Registration is required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001234","bsg-d001234"],"name":"FAIRsharing record for: The Track Hub Registry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.a1de61","doi":"10.25504/FAIRsharing.a1de61","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Track Hub Registry is a global centralised collection of publicly accessible track hubs. Its goal is to allow third parties to advertise track hubs, and to make it easier for researchers around the world to discover and use track hubs containing different types of genomic research data.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12828}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Genome visualization","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1732,"relation":"undefined"},{"licence_name":"TrackHub Registry Account Creation Privacy Notice","licence_id":790,"licence_url":"https://www.trackhubregistry.org/docs/privacy/registered","link_id":1734,"relation":"undefined"},{"licence_name":"TrackHub Registry Privacy Notice","licence_id":791,"licence_url":"https://www.ebi.ac.uk/data-protection/privacy-notice/trackhub-registry-anonymous-browsing","link_id":1733,"relation":"undefined"}],"grants":[{"id":3326,"fairsharing_record_id":2736,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:26:13.548Z","updated_at":"2021-09-30T09:26:13.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3325,"fairsharing_record_id":2736,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:13.487Z","updated_at":"2021-09-30T09:31:59.969Z","grant_id":1422,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"WT095908 and WT098051","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3327,"fairsharing_record_id":2736,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:26:13.586Z","updated_at":"2021-09-30T09:26:13.586Z","grant_id":null,"is_lead":true,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3328,"fairsharing_record_id":2736,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:13.619Z","updated_at":"2021-09-30T09:32:00.567Z","grant_id":1426,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L024225/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2719","type":"fairsharing_records","attributes":{"created_at":"2018-11-30T19:49:45.000Z","updated_at":"2023-06-23T09:46:21.074Z","metadata":{"doi":"10.25504/FAIRsharing.uovQrT","name":"Vivli","status":"ready","contacts":[{"contact_name":"Julie Wood","contact_email":"jwood@vivli.org"}],"homepage":"https://vivli.org/","citations":[],"identifier":2719,"description":"The Vivli data repository provides a global data-sharing and analytics platform serving all elements of the international research community. It is focused on sharing individual participant-level data from completed clinical trials to serve the international research community. Vivli acts as a neutral broker between data contributor and data user and the wider data sharing community. Vivli is a non-profit organization focused on data sharing and analysis. Vivli provides managed access for human subject clinical research data. At a minimum, Vivli will make data available for researchers for 10 years, unless they are contractually unable to do so. On an ongoing basis, Vivli evaluates its data holdings with regard to maintaining access and reserves the right to discontinue the distribution of a data collections when deemed appropriate.When materials are deaccessioned, the data are no longer publicly accessible at Vivli, although they may still be preserved in Vivli’s storage vault. Because digital files are assigned a persistent digital object identifier (DOI), the study description is still available to view, but is not searchable through Vivli. Web crawlers are instructed to ignore the descriptions (via the robots exclusion protocol).\nFor more information about Vivli’s policy, please contact Vivli at support@vivli.org\nIt provides a no-charge period for data only available within their secure research environment. There are costs after the no-charge time period ends. Vivli supports managed access as well as embargoing generally and during peer review. Vivli is funded via grants and member fees.","abbreviation":"Vivli","data_curation":{"url":"https://vivli.org/how-to-share-your-data-on-the-vivli-platform/","type":"manual","notes":"Vivli offers curation of the study metadata through a process overseen by Cochrane."},"support_links":[{"url":"https://www.linkedin.com/company/vivli/","name":"LinkedIn","type":"Blog/News"},{"url":"https://vivli.org/news/","name":"News \u0026 Events","type":"Blog/News"},{"url":"support@vivli.org","name":"Support Email","type":"Support email"},{"url":"https://vivli.org/resources/faqs/","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://vivli.org/resources/","name":"How-To Guide","type":"Help documentation"},{"url":"https://vivli.org/how-to-share-your-data-on-the-vivli-platform/","name":"Researcher Costs","type":"Help documentation"},{"url":"https://vivli.org/resources/vivli-secure-research-environment/","name":"About Secure Research Environments","type":"Help documentation"},{"url":"https://twitter.com/VivliCenter","name":"@VivliCenter","type":"Twitter"},{"url":"https://vivli.org/about/overview/","name":"Vivli Overview","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCxbUyLsTVHwh6Dy7_NNVUcw","name":"Vivli Youtube channel","type":"Video"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"https://vivli.org/resources/vivli-secure-research-environment/","name":"See webpage for latest PDF list of tools available as standard in the research environment"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012823","name":"re3data:r3d100012823","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018080","name":"SciCrunch:RRID:SCR_018080","portal":"SciCrunch"}],"data_access_condition":{"url":"https://vivli.org/about/data-request-review-process/","type":"controlled","notes":"Requested access to data"},"resource_sustainability":{"url":"https://vivli.org/resources/platform_metrics/","name":"More information"},"data_contact_information":"not found","data_preservation_policy":{"url":"https://vivli.org/resources/sharedata/","name":"10 year secure cloud archival. Secure storage using Microsoft Azure."},"data_deposition_condition":{"url":"https://vivli.org/how-to-share-your-data-on-the-vivli-platform/","type":"controlled","notes":"Requires Vivli Data Contribution Agreement. Provides ORCID authenticated contributors can share files up to 500 MB. Larger sizes of up to 100 TB can be accommodated. Unlimited storage per researcher."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001217","bsg-d001217"],"name":"FAIRsharing record for: Vivli","abbreviation":"Vivli","url":"https://fairsharing.org/10.25504/FAIRsharing.uovQrT","doi":"10.25504/FAIRsharing.uovQrT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Vivli data repository provides a global data-sharing and analytics platform serving all elements of the international research community. It is focused on sharing individual participant-level data from completed clinical trials to serve the international research community. Vivli acts as a neutral broker between data contributor and data user and the wider data sharing community. Vivli is a non-profit organization focused on data sharing and analysis. Vivli provides managed access for human subject clinical research data. At a minimum, Vivli will make data available for researchers for 10 years, unless they are contractually unable to do so. On an ongoing basis, Vivli evaluates its data holdings with regard to maintaining access and reserves the right to discontinue the distribution of a data collections when deemed appropriate.When materials are deaccessioned, the data are no longer publicly accessible at Vivli, although they may still be preserved in Vivli’s storage vault. Because digital files are assigned a persistent digital object identifier (DOI), the study description is still available to view, but is not searchable through Vivli. Web crawlers are instructed to ignore the descriptions (via the robots exclusion protocol).\nFor more information about Vivli’s policy, please contact Vivli at support@vivli.org\nIt provides a no-charge period for data only available within their secure research environment. There are costs after the no-charge time period ends. Vivli supports managed access as well as embargoing generally and during peer review. Vivli is funded via grants and member fees.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10824},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12334},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12823},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16888}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Clinical Studies","Health Science","Virology","Biomedical Science","Preclinical Studies"],"domains":["Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Vivli Data Use Agreement","licence_id":844,"licence_url":"https://vivli.org/resources/vivli-data-use-agreement/","link_id":1913,"relation":"undefined"},{"licence_name":"Vivli Privacy Statement","licence_id":845,"licence_url":"https://vivli.org/privacy/","link_id":1912,"relation":"undefined"}],"grants":[{"id":3284,"fairsharing_record_id":2719,"organisation_id":1689,"relation":"funds","created_at":"2021-09-30T09:26:12.300Z","updated_at":"2021-09-30T09:26:12.300Z","grant_id":null,"is_lead":false,"saved_state":{"id":1689,"name":"Laura and John Arnold Foundation, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3288,"fairsharing_record_id":2719,"organisation_id":1736,"relation":"funds","created_at":"2021-09-30T09:26:12.400Z","updated_at":"2021-09-30T09:26:12.400Z","grant_id":null,"is_lead":false,"saved_state":{"id":1736,"name":"Lyda Hill Foundation, United States","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8609,"fairsharing_record_id":2719,"organisation_id":2854,"relation":"funds","created_at":"2021-11-24T15:35:28.859Z","updated_at":"2021-11-24T15:35:28.859Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3285,"fairsharing_record_id":2719,"organisation_id":1706,"relation":"funds","created_at":"2021-09-30T09:26:12.324Z","updated_at":"2021-09-30T09:26:12.324Z","grant_id":null,"is_lead":false,"saved_state":{"id":1706,"name":"Leona M. and Harry B. Helmsley Charitable Trust, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3286,"fairsharing_record_id":2719,"organisation_id":1917,"relation":"maintains","created_at":"2021-09-30T09:26:12.350Z","updated_at":"2021-09-30T09:26:12.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":1917,"name":"Multi-Regional Clinical Trials Center of Brigham and Women's Hospital and Harvard (MRCT Center), United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3287,"fairsharing_record_id":2719,"organisation_id":780,"relation":"funds","created_at":"2021-09-30T09:26:12.374Z","updated_at":"2021-09-30T09:26:12.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":780,"name":"Doris Duke Charitable Foundation, United States","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3289,"fairsharing_record_id":2719,"organisation_id":2323,"relation":"funds","created_at":"2021-09-30T09:26:12.424Z","updated_at":"2021-09-30T09:26:12.424Z","grant_id":null,"is_lead":false,"saved_state":{"id":2323,"name":"Phrma","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":8608,"fairsharing_record_id":2719,"organisation_id":217,"relation":"funds","created_at":"2021-11-24T15:35:28.848Z","updated_at":"2021-11-24T15:35:28.848Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2720","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T15:17:45.000Z","updated_at":"2023-06-23T10:32:23.392Z","metadata":{"doi":"10.25504/FAIRsharing.xMmOCL","name":"CORE","status":"ready","contacts":[{"contact_name":"Petr Knoth","contact_email":"petr.knoth@open.ac.uk","contact_orcid":"0000-0003-1161-7359"}],"homepage":"https://core.ac.uk","citations":[{"publication_id":2333}],"identifier":2720,"description":"CORE’s mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all. CORE supports the right of citizens and the general public to access the results of research towards which they contributed by paying taxes; facilitates access to open access content for all by offering services to general public, academic institutions, libraries, software developers, researchers, etc.; provides support to both content consumers and content providers by working with digital libraries, institutional and subject repositories and journals, ; enriches the research content using state-of-the-art technology and provides access to it through a set of services including search, API and analytical tools, ; contributes to a cultural change by promoting open access, a fast growing movement.","abbreviation":"CORE","data_curation":{"type":"not found"},"support_links":[{"url":"https://core.ac.uk/about#faqs","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"theteam@core.ac.uk","name":"CORE Team Contact","type":"Mailing list"},{"url":"https://core.ac.uk/docs/","name":"CORE API v2 Documentation","type":"Help documentation"},{"url":"https://www.fosteropenscience.eu/node/2263","name":"Introduction to Text and Data Mining","type":"Training documentation"}],"year_creation":2011,"data_versioning":"no","data_access_condition":{"url":"https://core.ac.uk/about","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://core.ac.uk/benefits","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001218","bsg-d001218"],"name":"FAIRsharing record for: CORE","abbreviation":"CORE","url":"https://fairsharing.org/10.25504/FAIRsharing.xMmOCL","doi":"10.25504/FAIRsharing.xMmOCL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CORE’s mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all. CORE supports the right of citizens and the general public to access the results of research towards which they contributed by paying taxes; facilitates access to open access content for all by offering services to general public, academic institutions, libraries, software developers, researchers, etc.; provides support to both content consumers and content providers by working with digital libraries, institutional and subject repositories and journals, ; enriches the research content using state-of-the-art technology and provides access to it through a set of services including search, API and analytical tools, ; contributes to a cultural change by promoting open access, a fast growing movement.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Subject Agnostic"],"domains":["Text mining","Journal article","Literature curation"],"taxonomies":[],"user_defined_tags":["Open Science","Research object"],"countries":["United Kingdom"],"publications":[{"id":2333,"pubmed_id":null,"title":"CORE: three access levels to underpin open access","year":2012,"url":"https://doi.org/10.1045/november2012-knoth","authors":"Knoth, Petr and Zdrahal, Zdenek","journal":"D-Lib Magazine, 18(11/12), article no. 4","doi":null,"created_at":"2021-09-30T08:26:46.469Z","updated_at":"2021-09-30T08:26:46.469Z"}],"licence_links":[],"grants":[{"id":3290,"fairsharing_record_id":2720,"organisation_id":1600,"relation":"maintains","created_at":"2021-09-30T09:26:12.450Z","updated_at":"2021-09-30T09:26:12.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":3291,"fairsharing_record_id":2720,"organisation_id":2816,"relation":"maintains","created_at":"2021-09-30T09:26:12.474Z","updated_at":"2021-09-30T09:26:12.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":2816,"name":"The Open University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2721","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T12:27:53.000Z","updated_at":"2022-07-20T11:52:50.604Z","metadata":{"name":"Exome Aggregation Consortium Browser","status":"deprecated","contacts":[{"contact_email":"exomeconsortium@gmail.com"}],"homepage":"http://exac.broadinstitute.org/","identifier":2721,"description":"The Exome Aggregation Consortium (ExAC) is a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The ExAC Browser spans 60,706 unrelated individuals sequenced as part of various disease-specific and population genetic studies. All of the raw data from these projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects.","abbreviation":"ExAC Browser","data_curation":{"type":"not found"},"support_links":[{"url":"http://exac.broadinstitute.org/faq","name":"ExAC FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/konradjk/exac_browser/issues","name":"Issue Tracker","type":"Github"},{"url":"http://exac.broadinstitute.org/about","name":"About ExAC","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001219","bsg-d001219"],"name":"FAIRsharing record for: Exome Aggregation Consortium Browser","abbreviation":"ExAC Browser","url":"https://fairsharing.org/fairsharing_records/2721","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Exome Aggregation Consortium (ExAC) is a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The ExAC Browser spans 60,706 unrelated individuals sequenced as part of various disease-specific and population genetic studies. All of the raw data from these projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Population Genetics"],"domains":["Disease","Gene-disease association"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Exome"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ExAC Terms of Use","licence_id":304,"licence_url":"http://exac.broadinstitute.org/terms","link_id":700,"relation":"undefined"},{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":699,"relation":"undefined"},{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":698,"relation":"undefined"}],"grants":[{"id":3292,"fairsharing_record_id":2721,"organisation_id":2748,"relation":"maintains","created_at":"2021-09-30T09:26:12.500Z","updated_at":"2021-09-30T09:26:12.500Z","grant_id":null,"is_lead":true,"saved_state":{"id":2748,"name":"The Broad Institute, Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02140, USA.","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2717","type":"fairsharing_records","attributes":{"created_at":"2018-11-20T13:54:02.000Z","updated_at":"2023-06-23T11:17:50.345Z","metadata":{"doi":"10.25504/FAIRsharing.6YaUQm","name":"CHOmine","status":"ready","contacts":[{"contact_email":"nicole.borth@boku.ac.at"}],"homepage":"https://chomine.boku.ac.at/chomine","citations":[{"doi":"10.1093/database/bax034","pubmed_id":28605771,"publication_id":2369}],"identifier":2717,"description":"CHOmine integrates many types of data for Cricetulus griseus, and CHO cells. You can run flexible queries, export results and analyse lists of data.","abbreviation":"CHOmine","data_curation":{"type":"none"},"support_links":[{"url":"https://chomine.boku.ac.at/chomodel/","name":"Data Model","type":"Help documentation"},{"url":"https://chomine.boku.ac.at/chomine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001215","bsg-d001215"],"name":"FAIRsharing record for: CHOmine","abbreviation":"CHOmine","url":"https://fairsharing.org/10.25504/FAIRsharing.6YaUQm","doi":"10.25504/FAIRsharing.6YaUQm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CHOmine integrates many types of data for Cricetulus griseus, and CHO cells. You can run flexible queries, export results and analyse lists of data.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11687},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12822}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Protein","Gene"],"taxonomies":["Cricetulus griseus"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":2369,"pubmed_id":28605771,"title":"CHOmine: an integrated data warehouse for CHO systems biology and modeling.","year":2017,"url":"http://doi.org/10.1093/database/bax034","authors":"Gerstl MP,Hanscho M,Ruckerbauer DE,Zanghellini J,Borth N","journal":"Database (Oxford)","doi":"10.1093/database/bax034","created_at":"2021-09-30T08:26:51.268Z","updated_at":"2021-09-30T08:26:51.268Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":425,"relation":"undefined"}],"grants":[{"id":3282,"fairsharing_record_id":2717,"organisation_id":153,"relation":"maintains","created_at":"2021-09-30T09:26:12.250Z","updated_at":"2021-09-30T09:26:12.250Z","grant_id":null,"is_lead":true,"saved_state":{"id":153,"name":"Austrian Centre of Industrial Biotechnology (ACIB), Austria","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3281,"fairsharing_record_id":2717,"organisation_id":687,"relation":"maintains","created_at":"2021-09-30T09:26:12.225Z","updated_at":"2021-09-30T09:26:12.225Z","grant_id":null,"is_lead":true,"saved_state":{"id":687,"name":"Department of Biotechnology, University of Natural Resources and Life Sciences, Austria","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2731","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T21:11:23.000Z","updated_at":"2024-03-17T17:02:12.412Z","metadata":{"doi":"10.25504/FAIRsharing.0oOPKg","name":"ThaleMine","status":"ready","contacts":[{"contact_email":"nicholas.provart@utoronto.ca"}],"homepage":"https://bar.utoronto.ca/thalemine","citations":[{"doi":"10.1093/nar/gku1200","pubmed_id":25414324,"publication_id":2551},{"doi":"10.1105/tpc.20.00358","pubmed_id":32699173,"publication_id":4139}],"identifier":2731,"description":"ThaleMine enables you to analyze Arabidopsis thaliana genes, proteins, gene expression, protein-protein interactions, orthologs, and more. Use plain text or structured queries for interactive gene and protein reports.","abbreviation":"ThaleMine","data_curation":{"url":"https://bar.utoronto.ca/thalemine/dataCategories.do","type":"manual/automated"},"support_links":[{"url":"https://www.araport.org/","name":"ThaleMine FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Data cannot be submitted, however the users can suggest to add particular data via email."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001229","bsg-d001229"],"name":"FAIRsharing record for: ThaleMine","abbreviation":"ThaleMine","url":"https://fairsharing.org/10.25504/FAIRsharing.0oOPKg","doi":"10.25504/FAIRsharing.0oOPKg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ThaleMine enables you to analyze Arabidopsis thaliana genes, proteins, gene expression, protein-protein interactions, orthologs, and more. Use plain text or structured queries for interactive gene and protein reports.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11694}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Gene expression","Molecular interaction","Protein","Gene","Homologous"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":2551,"pubmed_id":25414324,"title":"Araport: the Arabidopsis information portal.","year":2014,"url":"http://doi.org/10.1093/nar/gku1200","authors":"Krishnakumar V,Hanlon MR,Contrino S,Ferlanti ES,Karamycheva S,Kim M,Rosen BD,Cheng CY,Moreira W,Mock SA,Stubbs J,Sullivan JM,Krampis K,Miller JR,Micklem G,Vaughn M,Town CD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1200","created_at":"2021-09-30T08:27:12.849Z","updated_at":"2021-09-30T11:29:39.129Z"},{"id":4139,"pubmed_id":32699173,"title":"Araport Lives: An Updated Framework for Arabidopsis Bioinformatics","year":2020,"url":"https://academic.oup.com/plcell/article/32/9/2683/6115718?login=false","authors":"Asher Pasha, Shabari Subramaniam, Alan Cleary, Xingguo Chen, Tanya Berardini, Andrew Farmer, Christopher Town, Nicholas Provart","journal":"The Plant Cell","doi":"10.1105/tpc.20.00358","created_at":"2024-02-18T18:07:22.238Z","updated_at":"2024-02-18T18:07:22.238Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1016,"relation":"undefined"}],"grants":[{"id":3315,"fairsharing_record_id":2731,"organisation_id":219,"relation":"maintains","created_at":"2021-09-30T09:26:13.123Z","updated_at":"2021-09-30T09:26:13.123Z","grant_id":null,"is_lead":true,"saved_state":{"id":219,"name":"Bio-Analytic Resource","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3316,"fairsharing_record_id":2731,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:13.163Z","updated_at":"2021-09-30T09:29:49.671Z","grant_id":423,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#DBI-1262414","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3317,"fairsharing_record_id":2731,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:13.202Z","updated_at":"2021-09-30T09:30:18.846Z","grant_id":651,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L027151/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2732","type":"fairsharing_records","attributes":{"created_at":"2018-12-12T20:56:43.000Z","updated_at":"2022-07-20T12:35:42.022Z","metadata":{"doi":"10.25504/FAIRsharing.iHhPe9","name":"XenMine","status":"deprecated","contacts":[{"contact_email":"jbaker@stanford.edu"}],"homepage":"http://www.xenmine.org/xenmine","citations":[{"doi":"10.1016/j.ydbio.2016.02.034","pubmed_id":27157655,"publication_id":2337}],"identifier":2732,"description":"XenMine has been created to view, search and analyze Xenopus data, and provides essential information on gene expression changes and regulatory elements present in the genome. It contains published genomic datasets from both Xenopus tropicalis and Xenopus laevis.","abbreviation":"XenMine","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.xenmine.org/xenmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"http://www.xenmine.org/jbrowse/index.html?","name":"JBrowse (View ChIP-Seq tracks)"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by XenBase.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001230","bsg-d001230"],"name":"FAIRsharing record for: XenMine","abbreviation":"XenMine","url":"https://fairsharing.org/10.25504/FAIRsharing.iHhPe9","doi":"10.25504/FAIRsharing.iHhPe9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XenMine has been created to view, search and analyze Xenopus data, and provides essential information on gene expression changes and regulatory elements present in the genome. It contains published genomic datasets from both Xenopus tropicalis and Xenopus laevis.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11695}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["DNA sequence data","Chromatin immunoprecipitation - DNA sequencing","RNA sequencing","Gene"],"taxonomies":["Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2337,"pubmed_id":27157655,"title":"XenMine: A genomic interaction tool for the Xenopus community.","year":2016,"url":"http://doi.org/S0012-1606(15)30264-5","authors":"Reid CD,Karra K,Chang J,Piskol R,Li Q,Li JB,Cherry JM,Baker JC","journal":"Dev Biol","doi":"10.1016/j.ydbio.2016.02.034","created_at":"2021-09-30T08:26:46.993Z","updated_at":"2021-09-30T08:26:46.993Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":786,"relation":"undefined"}],"grants":[{"id":3319,"fairsharing_record_id":2732,"organisation_id":712,"relation":"maintains","created_at":"2021-09-30T09:26:13.313Z","updated_at":"2021-09-30T09:26:13.313Z","grant_id":null,"is_lead":true,"saved_state":{"id":712,"name":"Department of Genetics, Stanford University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3318,"fairsharing_record_id":2732,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:13.235Z","updated_at":"2021-09-30T09:32:45.714Z","grant_id":1766,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"5R01HD076839","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2730","type":"fairsharing_records","attributes":{"created_at":"2018-12-11T20:56:30.000Z","updated_at":"2023-12-15T10:30:46.887Z","metadata":{"doi":"10.25504/FAIRsharing.QXYuxK","name":"TargetMine","status":"ready","contacts":[],"homepage":"http://targetmine.mizuguchilab.org/targetmine","citations":[{"doi":"10.1093/database/baw009","pubmed_id":26989145,"publication_id":2386}],"identifier":2730,"description":"TargetMine integrates many types of data for human, rat and mouse. Flexible queries, export of results and data analysis are available.","abbreviation":"TargetMine","data_curation":{"url":"https://targetmine.mizuguchilab.org/overview/","type":"manual"},"support_links":[{"url":"https://targetmine.mizuguchilab.org/tutorials","name":"Tutorial","type":"Help documentation"},{"url":"https://targetmine.mizuguchilab.org/targetmine/dataCategories.do","name":"Data Categories","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/targetmine-tutorials-tutorials-for-an-intermine-designed-to-help-identify-drug-targets","name":"TargetMine tutorials Tutorials for an InterMine designed to help identify drug targets.","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001228","bsg-d001228"],"name":"FAIRsharing record for: TargetMine","abbreviation":"TargetMine","url":"https://fairsharing.org/10.25504/FAIRsharing.QXYuxK","doi":"10.25504/FAIRsharing.QXYuxK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TargetMine integrates many types of data for human, rat and mouse. Flexible queries, export of results and data analysis are available.","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11693},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12827}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Life Science"],"domains":["Protein structure","Protein domain","Protein interaction","Chemical entity","Molecular interaction","High-throughput screening","Protein","Micro RNA","Gene","Gene-disease association","Target"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2386,"pubmed_id":26989145,"title":"An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework.","year":2016,"url":"http://doi.org/10.1093/database/baw009","authors":"Chen YA,Tripathi LP,Mizuguchi K","journal":"Database (Oxford)","doi":"10.1093/database/baw009","created_at":"2021-09-30T08:26:53.162Z","updated_at":"2021-09-30T08:26:53.162Z"},{"id":2387,"pubmed_id":21408081,"title":"TargetMine, an integrated data warehouse for candidate gene prioritisation and target discovery.","year":2011,"url":"http://doi.org/10.1371/journal.pone.0017844","authors":"Chen YA,Tripathi LP,Mizuguchi K","journal":"PLoS One","doi":"10.1371/journal.pone.0017844","created_at":"2021-09-30T08:26:53.277Z","updated_at":"2021-09-30T08:26:53.277Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1316,"relation":"undefined"}],"grants":[{"id":3314,"fairsharing_record_id":2730,"organisation_id":1882,"relation":"maintains","created_at":"2021-09-30T09:26:13.081Z","updated_at":"2021-09-30T09:26:13.081Z","grant_id":null,"is_lead":true,"saved_state":{"id":1882,"name":"Mizuguchi Laboratory, National Institutes of Biomedical Innovation, Health and Nutrition, Japan","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2763","type":"fairsharing_records","attributes":{"created_at":"2019-03-29T09:04:44.000Z","updated_at":"2023-12-15T10:30:28.831Z","metadata":{"doi":"10.25504/FAIRsharing.52da68","name":"National Genomics Data Center Repository","status":"ready","contacts":[{"contact_name":"Yiming Bao","contact_email":"baoym@big.ac.cn","contact_orcid":"0000-0002-9922-9723"}],"homepage":"https://ngdc.cncb.ac.cn/","citations":[],"identifier":2763,"description":"The National Genomics Data Center of the Chinese Academy of Sciences provides a repository containing a number of resources in support of worldwide research activities in both academia and industry. With the vast amounts of multi-omics data generated at unprecedented scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big data integration and value-added curation. Resources with significant updates in the past year include BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Science Wikis (a catalog of biological knowledge wikis for community annotations) and IC4R (Information Commons for Rice). Newly released resources include EWAS Atlas (a knowledgebase of epigenome-wide association studies), iDog (an integrated omics data resource for dog) and RNA editing resources (for editome-disease associations and plant RNA editosome, respectively). To promote biodiversity and health big data sharing around the world, the Open Biodiversity and Health Big Data (BHBD) initiative is introduced. All of these resources are publicly accessible.","abbreviation":"NGDC","data_curation":{"type":"not found"},"support_links":[{"url":"http://bigd.big.ac.cn/conference","name":"Conference","type":"Blog/News"},{"url":"https://ngdc.cncb.ac.cn/training/gbt","name":"Genomics \u0026 Bioinformatics Training","type":"Training documentation"},{"url":"https://ngdc.cncb.ac.cn/news/general","type":"Blog/News"}],"year_creation":2015,"data_versioning":"not found","associated_tools":[{"url":"https://ngdc.cncb.ac.cn/bit/","name":"NGDC Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013743","name":"re3data:r3d100013743","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ngdc.cncb.ac.cn/gsub/","type":"open","notes":"Submissions are made through the BIG Submission Portal."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001261","bsg-d001261"],"name":"FAIRsharing record for: National Genomics Data Center Repository","abbreviation":"NGDC","url":"https://fairsharing.org/10.25504/FAIRsharing.52da68","doi":"10.25504/FAIRsharing.52da68","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Genomics Data Center of the Chinese Academy of Sciences provides a repository containing a number of resources in support of worldwide research activities in both academia and industry. With the vast amounts of multi-omics data generated at unprecedented scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big data integration and value-added curation. Resources with significant updates in the past year include BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Science Wikis (a catalog of biological knowledge wikis for community annotations) and IC4R (Information Commons for Rice). Newly released resources include EWAS Atlas (a knowledgebase of epigenome-wide association studies), iDog (an integrated omics data resource for dog) and RNA editing resources (for editome-disease associations and plant RNA editosome, respectively). To promote biodiversity and health big data sharing around the world, the Open Biodiversity and Health Big Data (BHBD) initiative is introduced. All of these resources are publicly accessible.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12836}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenomics","Knowledge and Information Systems","Metagenomics","Genomics","Bioinformatics","Genetics","Life Science","Transcriptomics","Omics"],"domains":["Taxonomic classification","Resource metadata","Expression data","Biological sample annotation","RNA sequence","Computational biological predictions","Real time polymerase chain reaction","DNA methylation","Gene expression","Biological sample","Disease","Single nucleotide polymorphism","Genome","Long non-coding RNA","Gene-disease association","Literature curation","Biocuration"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":507,"pubmed_id":29036542,"title":"Database Resources of the BIG Data Center in 2018.","year":2017,"url":"http://doi.org/10.1093/nar/gkx897","authors":"BIG Data Center Members ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx897","created_at":"2021-09-30T08:23:15.298Z","updated_at":"2021-09-30T11:29:51.279Z"},{"id":513,"pubmed_id":30365034,"title":"Database Resources of the BIG Data Center in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky993","authors":"BIG Data Center Members.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky993","created_at":"2021-09-30T08:23:15.990Z","updated_at":"2021-09-30T11:28:46.885Z"},{"id":632,"pubmed_id":27899658,"title":"The BIG Data Center: from deposition to integration to translation.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1060","authors":"BIG Data Center Members","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1060","created_at":"2021-09-30T08:23:29.482Z","updated_at":"2021-09-30T11:28:48.618Z"},{"id":722,"pubmed_id":30716410,"title":"Database Resources in BIG Data Center: Submission, Archiving, and Integration of Big Data in Plant Science.","year":2019,"url":"http://doi.org/S1674-2052(19)30051-6","authors":"Song S,Zhang Z","journal":"Mol Plant","doi":"S1674-2052(19)30051-6","created_at":"2021-09-30T08:23:39.570Z","updated_at":"2021-09-30T08:23:39.570Z"},{"id":723,"pubmed_id":29069473,"title":"Genome Variation Map: a data repository of genome variations in BIG Data Center.","year":2017,"url":"http://doi.org/10.1093/nar/gkx986","authors":"Song S,Tian D,Li C,Tang B,Dong L,Xiao J,Bao Y,Zhao W,He H,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx986","created_at":"2021-09-30T08:23:39.676Z","updated_at":"2021-09-30T11:28:49.325Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":2110,"relation":"undefined"}],"grants":[{"id":3393,"fairsharing_record_id":2763,"organisation_id":2815,"relation":"funds","created_at":"2021-09-30T09:26:15.356Z","updated_at":"2021-09-30T09:26:15.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":2815,"name":"The Open Biodiversity and Health Big Data Initiative of IUBS","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7870,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:12.549Z","updated_at":"2021-09-30T09:29:12.601Z","grant_id":139,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFC0901603","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7930,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:52.942Z","updated_at":"2021-09-30T09:29:52.999Z","grant_id":449,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFE0206600","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8081,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:49.454Z","updated_at":"2021-09-30T09:30:49.499Z","grant_id":888,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31571358","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8151,"fairsharing_record_id":2763,"organisation_id":2856,"relation":"funds","created_at":"2021-09-30T09:31:12.739Z","updated_at":"2021-09-30T09:31:12.789Z","grant_id":1066,"is_lead":false,"saved_state":{"id":2856,"name":"The Youth Innovation Promotion Association of the CAS","grant":"2017141","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":8277,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:52.591Z","updated_at":"2021-09-30T09:31:52.642Z","grant_id":1367,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31771465","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8316,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:02.808Z","updated_at":"2021-09-30T09:32:02.855Z","grant_id":1444,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC0908403","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8477,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:50.070Z","updated_at":"2021-09-30T09:32:50.119Z","grant_id":1798,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC0907503","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3401,"fairsharing_record_id":2763,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:15.557Z","updated_at":"2021-09-30T09:26:15.557Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3402,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:26:15.586Z","updated_at":"2021-09-30T09:29:09.418Z","grant_id":117,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31100915","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3399,"fairsharing_record_id":2763,"organisation_id":2856,"relation":"funds","created_at":"2021-09-30T09:26:15.502Z","updated_at":"2021-09-30T09:29:55.163Z","grant_id":468,"is_lead":false,"saved_state":{"id":2856,"name":"The Youth Innovation Promotion Association of the CAS","grant":"2018134","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3396,"fairsharing_record_id":2763,"organisation_id":1508,"relation":"funds","created_at":"2021-09-30T09:26:15.426Z","updated_at":"2021-09-30T09:31:30.305Z","grant_id":1201,"is_lead":false,"saved_state":{"id":1508,"name":"International Partnership Program of the Chinese Academy of Sciences","grant":"153F11KYSB20160008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3395,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:26:15.402Z","updated_at":"2021-09-30T09:29:02.274Z","grant_id":66,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFB0201702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7913,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:40.892Z","updated_at":"2021-09-30T09:29:40.960Z","grant_id":357,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2015AA020108","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7914,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:29:41.133Z","updated_at":"2021-09-30T09:29:41.187Z","grant_id":358,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2015AA020101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7929,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:29:51.472Z","updated_at":"2021-09-30T09:29:51.582Z","grant_id":438,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31671360","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8066,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:30:44.704Z","updated_at":"2021-09-30T09:30:44.762Z","grant_id":849,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2018YFC0310602","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8071,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:30:45.636Z","updated_at":"2021-09-30T09:30:45.681Z","grant_id":856,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31271386","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8138,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:31:09.756Z","updated_at":"2021-09-30T09:31:09.810Z","grant_id":1046,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2016YFC0901903","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8165,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:17.330Z","updated_at":"2021-09-30T09:31:17.391Z","grant_id":1103,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31200978","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3397,"fairsharing_record_id":2763,"organisation_id":2738,"relation":"funds","created_at":"2021-09-30T09:26:15.453Z","updated_at":"2021-09-30T09:31:19.197Z","grant_id":1117,"is_lead":false,"saved_state":{"id":2738,"name":"The 13th Five-year Informatization Plan of Chinese Academy of Sciences","grant":"XXH13505-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8253,"fairsharing_record_id":2763,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:45.640Z","updated_at":"2021-09-30T09:31:45.685Z","grant_id":1315,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31471248","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8388,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:24.693Z","updated_at":"2021-09-30T09:32:24.741Z","grant_id":1608,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC1201200","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8478,"fairsharing_record_id":2763,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:32:50.202Z","updated_at":"2021-09-30T09:32:50.288Z","grant_id":1799,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"2017YFC0907502","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3403,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:26:15.611Z","updated_at":"2022-04-11T13:08:15.632Z","grant_id":380,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA08020102","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9422,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T13:09:17.474Z","updated_at":"2022-04-11T13:09:17.474Z","grant_id":659,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDB13040500","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9423,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T13:09:41.779Z","updated_at":"2022-04-11T13:09:41.779Z","grant_id":1273,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA19050302","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9424,"fairsharing_record_id":2763,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T13:10:02.115Z","updated_at":"2022-04-11T13:10:02.115Z","grant_id":1302,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KJZD-EW-L14","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2765","type":"fairsharing_records","attributes":{"created_at":"2019-03-29T17:54:51.000Z","updated_at":"2023-12-15T10:30:28.386Z","metadata":{"doi":"10.25504/FAIRsharing.23bdba","name":"DISNOR","status":"ready","contacts":[{"contact_name":"Gianni Cesareni","contact_email":"cesareni@uniroma2.it","contact_orcid":"0000-0002-9528-6018"}],"homepage":"https://disnor.uniroma2.it/","citations":[{"doi":"10.1093/nar/gkx876","pubmed_id":29036667,"publication_id":770}],"identifier":2765,"description":"DISNOR is a resource that uses a comprehensive collection of disease associated genes, as annotated in DisGeNET, to interrogate SIGNOR (https://signor.uniroma2.it) in order to assemble disease-specific logic networks linking disease associated genes by causal relationships. DISNOR is an open resource where more than 4000 disease-networks, linking ~ 2800 disease genes, can be explored. For each disease curated in DisGeNET, DISNOR links disease genes through manually annotated causal relationships and the inferred 'patho-pathways' can be visualised at different level of complexity.","abbreviation":"DISNOR","data_curation":{"url":"https://disnor.uniroma2.it/","type":"manual"},"support_links":[{"url":"https://disnor.uniroma2.it/#documentation","name":"Documentation","type":"Help documentation"},{"url":"https://disnor.uniroma2.it/#about-disnor","name":"About","type":"Help documentation"},{"url":"https://disnor.uniroma2.it/#tutorial","name":"Tutorial","type":"Training documentation"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001263","bsg-d001263"],"name":"FAIRsharing record for: DISNOR","abbreviation":"DISNOR","url":"https://fairsharing.org/10.25504/FAIRsharing.23bdba","doi":"10.25504/FAIRsharing.23bdba","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DISNOR is a resource that uses a comprehensive collection of disease associated genes, as annotated in DisGeNET, to interrogate SIGNOR (https://signor.uniroma2.it) in order to assemble disease-specific logic networks linking disease associated genes by causal relationships. DISNOR is an open resource where more than 4000 disease-networks, linking ~ 2800 disease genes, can be explored. For each disease curated in DisGeNET, DISNOR links disease genes through manually annotated causal relationships and the inferred 'patho-pathways' can be visualised at different level of complexity.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science"],"domains":["Computational biological predictions","Network model","Curated information","Disease","Single nucleotide polymorphism","Gene-disease association"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":770,"pubmed_id":29036667,"title":"DISNOR: a disease network open resource.","year":2017,"url":"http://doi.org/10.1093/nar/gkx876","authors":"Lo Surdo P,Calderone A,Iannuccelli M,Licata L,Peluso D,Castagnoli L,Cesareni G,Perfetto L","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx876","created_at":"2021-09-30T08:23:44.859Z","updated_at":"2021-09-30T11:28:50.667Z"}],"licence_links":[{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":883,"relation":"undefined"}],"grants":[{"id":3413,"fairsharing_record_id":2765,"organisation_id":844,"relation":"funds","created_at":"2021-09-30T09:26:15.868Z","updated_at":"2021-09-30T09:26:15.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":844,"name":"ELIXIR Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3415,"fairsharing_record_id":2765,"organisation_id":679,"relation":"maintains","created_at":"2021-09-30T09:26:15.918Z","updated_at":"2021-09-30T09:26:15.918Z","grant_id":null,"is_lead":true,"saved_state":{"id":679,"name":"Department of Biology, University of Rome Tor Vergata, Rome, Italy","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3414,"fairsharing_record_id":2765,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:26:15.895Z","updated_at":"2021-09-30T09:26:15.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3412,"fairsharing_record_id":2765,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:15.845Z","updated_at":"2021-09-30T09:30:03.608Z","grant_id":533,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"32274","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2752","type":"fairsharing_records","attributes":{"created_at":"2018-12-21T10:27:46.000Z","updated_at":"2024-05-02T09:49:01.691Z","metadata":{"doi":"10.25504/FAIRsharing.ef9ca3","name":"SignaLink","status":"ready","contacts":[{"contact_name":"Tamas Korcsmaros","contact_email":"korcsmaros@netbiol.elte.hu","contact_orcid":"0000-0003-1717-996X"}],"homepage":"http://signalink.org/","citations":[{"doi":"10.1186/1752-0509-7-7","pubmed_id":23331499,"publication_id":2721}],"identifier":2752,"description":"SignaLink is an integrated resource to analyze signaling pathway cross-talks, transcription factors, miRNAs and regulatory enzymes. it allows browsing of signaling pathways, cross-talks and multi-pathway proteins; selection of transcriptional, post- transcriptional and post translational regulators of a signaling pathway; downloading of species- and pathway-specific information in several formats; designing of genetic/biochemical experiments to verify predicted pathway member proteins; modeling of tissue- or disease-specific signaling processes by merging SignaLink with expression data; and the discovering of novel signaling drug target candidates.","abbreviation":"SignaLink","data_curation":{"url":"http://signalink.org/faq","type":"manual","notes":"Each pathway was manually entered, based on publication and dabases."},"support_links":[{"url":"http://signalink.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001250","bsg-d001250"],"name":"FAIRsharing record for: SignaLink","abbreviation":"SignaLink","url":"https://fairsharing.org/10.25504/FAIRsharing.ef9ca3","doi":"10.25504/FAIRsharing.ef9ca3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SignaLink is an integrated resource to analyze signaling pathway cross-talks, transcription factors, miRNAs and regulatory enzymes. it allows browsing of signaling pathways, cross-talks and multi-pathway proteins; selection of transcriptional, post- transcriptional and post translational regulators of a signaling pathway; downloading of species- and pathway-specific information in several formats; designing of genetic/biochemical experiments to verify predicted pathway member proteins; modeling of tissue- or disease-specific signaling processes by merging SignaLink with expression data; and the discovering of novel signaling drug target candidates.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11411},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12153}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Life Science","Biomedical Science"],"domains":["Protein interaction","Network model","Signaling","Biological regulation","Transcription factor","Enzyme","Micro RNA"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":59,"pubmed_id":20542890,"title":"Uniformly curated signaling pathways reveal tissue-specific cross-talks and support drug target discovery.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq310","authors":"Korcsmaros T,Farkas IJ,Szalay MS,Rovo P,Fazekas D,Spiro Z,Bode C,Lenti K,Vellai T,Csermely P","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq310","created_at":"2021-09-30T08:22:26.680Z","updated_at":"2021-09-30T08:22:26.680Z"},{"id":2721,"pubmed_id":23331499,"title":"SignaLink 2 - a signaling pathway resource with multi-layered regulatory networks.","year":2013,"url":"http://doi.org/10.1186/1752-0509-7-7","authors":"Fazekas D,Koltai M,Turei D,Modos D,Palfy M,Dul Z,Zsakai L,Szalay-Beko M,Lenti K,Farkas IJ,Vellai T,Csermely P,Korcsmaros T","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-7-7","created_at":"2021-09-30T08:27:34.179Z","updated_at":"2021-09-30T08:27:34.179Z"}],"licence_links":[],"grants":[{"id":3368,"fairsharing_record_id":2752,"organisation_id":711,"relation":"maintains","created_at":"2021-09-30T09:26:14.627Z","updated_at":"2021-09-30T09:26:14.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":711,"name":"Department of Genetics, Eotvos Lorand University University, Hungary","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2753","type":"fairsharing_records","attributes":{"created_at":"2019-02-21T14:39:13.000Z","updated_at":"2024-03-21T13:58:10.033Z","metadata":{"doi":"10.25504/FAIRsharing.o8CuJ7","name":"Educational Resource Discovery Index","status":"deprecated","contacts":[{"contact_name":"John Darrell Van Horn","contact_email":"jvanhorn@usc.edu","contact_orcid":"0000-0003-1537-0816"}],"homepage":"http://www.bigdatau.org/about_erudite","citations":[{"doi":"https://doi.org/10.1142/9789813235533_0027","pubmed_id":29218890,"publication_id":2316}],"identifier":2753,"description":"ERuDIte is the educational resource discovery index that powers the BD2K Training Coordinating Center (TCC) Web Portal. ERuDIte not only serves as a resource collector and aggregator but also as a system powered by Machine Learning, Information Retrieval, and Natural Language Processing that intelligently organizes resources to provide a dynamic and personalized curriculum for biomedical researchers interested in learning about Data Science. ERuDIte provides the resource data that learners can discover on the TCC Web Portal. Over time, learners’ interactions with the TCC Web Portal will impact ERuDIte, forming a feedback cycle where both components improve each other and adapt to learners’ needs and demands. The blending of Artificial Intelligence techniques with highly targeted curation for resource discovery, retrieval, personalization, and organization distinguishes ERuDIte from MOOC aggregators and other resource collection initiatives.","abbreviation":"ERuDIte","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.bigdatau.org","name":"BD2K Training Coordinating Center","type":"Help documentation"},{"url":"https://bioint.github.io/erudite-training-resource-standard/","name":"BD2K ERuDIte GitHub Webpage","type":"Github"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2023-04-13","deprecation_reason":"The program is no longer funded or active.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001251","bsg-d001251"],"name":"FAIRsharing record for: Educational Resource Discovery Index","abbreviation":"ERuDIte","url":"https://fairsharing.org/10.25504/FAIRsharing.o8CuJ7","doi":"10.25504/FAIRsharing.o8CuJ7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ERuDIte is the educational resource discovery index that powers the BD2K Training Coordinating Center (TCC) Web Portal. ERuDIte not only serves as a resource collector and aggregator but also as a system powered by Machine Learning, Information Retrieval, and Natural Language Processing that intelligently organizes resources to provide a dynamic and personalized curriculum for biomedical researchers interested in learning about Data Science. ERuDIte provides the resource data that learners can discover on the TCC Web Portal. Over time, learners’ interactions with the TCC Web Portal will impact ERuDIte, forming a feedback cycle where both components improve each other and adapt to learners’ needs and demands. The blending of Artificial Intelligence techniques with highly targeted curation for resource discovery, retrieval, personalization, and organization distinguishes ERuDIte from MOOC aggregators and other resource collection initiatives.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Research on Teaching, Learning and Training","Education Science","Computer Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["data science","Education","personalization","Resource Discovery","Training"],"countries":["United States"],"publications":[{"id":2316,"pubmed_id":29218890,"title":"Democratizing data science through data science training.","year":2017,"url":"https://www.ncbi.nlm.nih.gov/pubmed/29218890","authors":"Van Horn JD,Fierro L,Kamdar J,Gordon J,Stewart C,Bhattrai A,Abe S,Lei X,O'Driscoll C,Sinha A,Jain P,Burns G,Lerman K,Ambite JL","journal":"Pac Symp Biocomput","doi":"https://doi.org/10.1142/9789813235533_0027","created_at":"2021-09-30T08:26:44.201Z","updated_at":"2021-09-30T08:26:44.201Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":848,"relation":"undefined"}],"grants":[{"id":3369,"fairsharing_record_id":2753,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:14.656Z","updated_at":"2021-09-30T09:32:04.368Z","grant_id":1455,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","grant":"5U24ES026465","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11536,"fairsharing_record_id":2753,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:09.993Z","updated_at":"2024-03-21T13:58:09.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2754","type":"fairsharing_records","attributes":{"created_at":"2019-01-05T16:28:39.000Z","updated_at":"2022-07-20T12:06:19.216Z","metadata":{"doi":"10.25504/FAIRsharing.OTYQFw","name":"WITHDRAWN: A Resource for Withdrawn and Discontinued Drugs","status":"deprecated","contacts":[{"contact_name":"Robert Preißner","contact_email":"robert.preissner@charite.de"}],"homepage":"http://cheminfo.charite.de/withdrawn/","citations":[{"doi":"10.1093/nar/gkv1192","pubmed_id":26553801,"publication_id":356}],"identifier":2754,"description":"WITHDRAWN is a database of withdrawn and discontinued drugs that were recalled from global markets due to safety concerns. The database serves as a useful resource with information about the therapeutic (or primary) targets, off-targets, toxicity types and biological pathways associated with the drugs in the database. Furthermore, genetic variations (SNPs) associated with the therapeutic and off-targets are presented within to shed light on the common genetic variations that could lead to toxicity and thereby to drug withdrawal or discontinuation in specific populations.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://cheminfo.charite.de/withdrawn/help_faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cheminfo.charite.de/withdrawn/statistics.html","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2022-02-07","deprecation_reason":"The homepage for this resource currently unavailable, but should be accessible in the future.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001252","bsg-d001252"],"name":"FAIRsharing record for: WITHDRAWN: A Resource for Withdrawn and Discontinued Drugs","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.OTYQFw","doi":"10.25504/FAIRsharing.OTYQFw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WITHDRAWN is a database of withdrawn and discontinued drugs that were recalled from global markets due to safety concerns. The database serves as a useful resource with information about the therapeutic (or primary) targets, off-targets, toxicity types and biological pathways associated with the drugs in the database. Furthermore, genetic variations (SNPs) associated with the therapeutic and off-targets are presented within to shed light on the common genetic variations that could lead to toxicity and thereby to drug withdrawal or discontinuation in specific populations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Metabolism","Biomedical Science"],"domains":["Drug report","Drug","Drug metabolic process","Toxicity","Target"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Drug Target"],"countries":["Germany"],"publications":[{"id":356,"pubmed_id":26553801,"title":"WITHDRAWN--a resource for withdrawn and discontinued drugs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1192","authors":"Siramshetty VB,Nickel J,Omieczynski C,Gohlke BO,Drwal MN,Preissner R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1192","created_at":"2021-09-30T08:22:58.280Z","updated_at":"2021-09-30T11:28:45.709Z"}],"licence_links":[],"grants":[{"id":3371,"fairsharing_record_id":2754,"organisation_id":494,"relation":"maintains","created_at":"2021-09-30T09:26:14.736Z","updated_at":"2021-09-30T09:26:14.736Z","grant_id":null,"is_lead":true,"saved_state":{"id":494,"name":"Charite - University Medicine Berlin, Berlin, Germany","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2756","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T17:37:07.000Z","updated_at":"2023-12-15T10:31:41.936Z","metadata":{"doi":"10.25504/FAIRsharing.afc2b3","name":"Docker Hub","status":"ready","homepage":"https://hub.docker.com/","identifier":2756,"description":"Docker Hub is a library and community for sharing container images. It currently contains over 100,000 container images from software vendors, open-source projects, and the community. It has become a common way of sharing bioinformatics tools and resources in a way that reduces the difficulty of running these tools in a compute environment with the correct software dependencies.","abbreviation":"Docker Hub","data_curation":{"type":"manual","notes":"Docker Official Images are a curated set of Docker open source and drop-in solution repositories."},"support_links":[{"url":"https://www.docker.com/company/contact","name":"Contact form for DockerHub","type":"Contact form"},{"url":"https://forums.docker.com/c/docker-hub","name":"Docker Hub Forums","type":"Forum"},{"url":"https://docs.docker.com/docker-hub/","name":"Docker Hub Documentation","type":"Help documentation"},{"url":"https://twitter.com/docker","name":"@docker","type":"Twitter"}],"year_creation":2013,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001254","bsg-d001254"],"name":"FAIRsharing record for: Docker Hub","abbreviation":"Docker Hub","url":"https://fairsharing.org/10.25504/FAIRsharing.afc2b3","doi":"10.25504/FAIRsharing.afc2b3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Docker Hub is a library and community for sharing container images. It currently contains over 100,000 container images from software vendors, open-source projects, and the community. It has become a common way of sharing bioinformatics tools and resources in a way that reduces the difficulty of running these tools in a compute environment with the correct software dependencies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Computer Science","Software Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Docker Components and Licenses","licence_id":249,"licence_url":"https://www.docker.com/legal/components-licenses","link_id":312,"relation":"undefined"}],"grants":[{"id":3373,"fairsharing_record_id":2756,"organisation_id":777,"relation":"maintains","created_at":"2021-09-30T09:26:14.793Z","updated_at":"2021-09-30T09:26:14.793Z","grant_id":null,"is_lead":true,"saved_state":{"id":777,"name":"Docker, Inc.","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2744","type":"fairsharing_records","attributes":{"created_at":"2018-12-17T12:10:27.000Z","updated_at":"2023-12-15T10:30:36.289Z","metadata":{"doi":"10.25504/FAIRsharing.653ca1","name":"Human Reference Protein Interactome Mapping Project","status":"ready","contacts":[{"contact_name":"Michael Calderwood","contact_email":"michael_calderwood@dfci.harvard.edu","contact_orcid":"0000-0002-3803-0438"}],"homepage":"http://www.interactome-atlas.org/","citations":[],"identifier":2744,"description":"The Human Reference Protein Interactome Mapping Project (HuRI) is a repository, created by the Center for Cancer Systems Biology (CCSB) at Dana-Farber Cancer Institute, which stores the data from the ongoing work on the first complete reference map of the human protein-protein interactome network. All pairwise combinations of human protein-coding genes are systematically being interrogated to identify which are involved in binary protein-protein interactions. HuRI has grown in several distinct stages primarily defined by the number of human protein-coding genes amenable to screening for which at least one Gateway-cloned Open Reading Frame (ORF) was available at the time of the project. Three proteome-scale human PPI datasets are available via HuRI. PPI datasets generated in systematic screens on smaller sets of our human ORF collection have also been included. Also included are all PPIs identified in screens using different protein isoforms from the same gene as generated by alternative splicing.","abbreviation":"HuRI","data_curation":{"url":"http://www.interactome-atlas.org/about/","type":"manual"},"support_links":[{"url":"gary.bader@utoronto.ca","name":"Gary Bader","type":"Support email"},{"url":"http://www.interactome-atlas.org/faq/","name":"HuRI FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.interactome-atlas.org/about/","name":"About HuRI","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001242","bsg-d001242"],"name":"FAIRsharing record for: Human Reference Protein Interactome Mapping Project","abbreviation":"HuRI","url":"https://fairsharing.org/10.25504/FAIRsharing.653ca1","doi":"10.25504/FAIRsharing.653ca1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Reference Protein Interactome Mapping Project (HuRI) is a repository, created by the Center for Cancer Systems Biology (CCSB) at Dana-Farber Cancer Institute, which stores the data from the ongoing work on the first complete reference map of the human protein-protein interactome network. All pairwise combinations of human protein-coding genes are systematically being interrogated to identify which are involved in binary protein-protein interactions. HuRI has grown in several distinct stages primarily defined by the number of human protein-coding genes amenable to screening for which at least one Gateway-cloned Open Reading Frame (ORF) was available at the time of the project. Three proteome-scale human PPI datasets are available via HuRI. PPI datasets generated in systematic screens on smaller sets of our human ORF collection have also been included. Also included are all PPIs identified in screens using different protein isoforms from the same gene as generated by alternative splicing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Protein interaction","Interactome","Alternative splicing","High-throughput screening"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3342,"fairsharing_record_id":2744,"organisation_id":440,"relation":"maintains","created_at":"2021-09-30T09:26:14.000Z","updated_at":"2021-09-30T09:26:14.000Z","grant_id":null,"is_lead":true,"saved_state":{"id":440,"name":"Center of Cancer Systems Biology, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3344,"fairsharing_record_id":2744,"organisation_id":159,"relation":"maintains","created_at":"2021-09-30T09:26:14.050Z","updated_at":"2021-09-30T09:26:14.050Z","grant_id":null,"is_lead":false,"saved_state":{"id":159,"name":"Bader Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3340,"fairsharing_record_id":2744,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:13.950Z","updated_at":"2021-09-30T09:26:13.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3341,"fairsharing_record_id":2744,"organisation_id":408,"relation":"maintains","created_at":"2021-09-30T09:26:13.976Z","updated_at":"2021-09-30T09:26:13.976Z","grant_id":null,"is_lead":false,"saved_state":{"id":408,"name":"Center for Cancer Systems Biology, Boston, MA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3343,"fairsharing_record_id":2744,"organisation_id":1586,"relation":"maintains","created_at":"2021-09-30T09:26:14.027Z","updated_at":"2021-09-30T09:26:14.027Z","grant_id":null,"is_lead":false,"saved_state":{"id":1586,"name":"Jan Tavernier Lab","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3345,"fairsharing_record_id":2744,"organisation_id":2460,"relation":"maintains","created_at":"2021-09-30T09:26:14.081Z","updated_at":"2021-09-30T09:26:14.081Z","grant_id":null,"is_lead":false,"saved_state":{"id":2460,"name":"Roth Laboratory","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2745","type":"fairsharing_records","attributes":{"created_at":"2018-12-17T13:06:34.000Z","updated_at":"2023-12-15T10:32:52.153Z","metadata":{"doi":"10.25504/FAIRsharing.0c6bc2","name":"FlyAtlas 2","status":"ready","contacts":[{"contact_name":"Julian A T Dow","contact_email":"julian.dow@glasgow.ac.uk","contact_orcid":"0000-0002-9595-5146"}],"homepage":"http://flyatlas.gla.ac.uk/FlyAtlas2/index.html","citations":[{"doi":"10.1093/nar/gkx976","pubmed_id":29069479,"publication_id":2463}],"identifier":2745,"description":"FlyAtlas 2 is the RNA-Seq successor to the original FlyAtlas (which was based on microarray analysis). Specifically, FlyAtlas 2 now provides access to: transcript information, sex-specific data for adult somatic tissues, and micro-RNA genes. FlyAtlas2 supports search by gene, category or tissue; and functionality has been improved through mobile support and the option to download results in spreadsheet format. Gene coverage has been extended by the inclusion of microRNAs and many of the RNA genes included in Release 6 of the Drosophila reference genome. The web interface has been modified to accommodate the extra data, but at the same time has been adapted for viewing on small mobile devices. Users also have access to the RNA-Seq reads displayed alongside the annotated Drosophila genome in the (external) UCSC browser, and are able to link out to the previous FlyAtlas resource to compare the data obtained by RNA-Seq with that obtained using microarrays.","abbreviation":"FlyAtlas 2","data_curation":{"url":"https://flyatlas.gla.ac.uk/FlyAtlas2/index.html?page=help#mobileTargetP","type":"automated"},"support_links":[{"url":"http://flyatlas.gla.ac.uk/FlyAtlas2/index.html?page=contact","name":"Feedback Form","type":"Contact form"},{"url":"http://flyatlas.gla.ac.uk/FlyAtlas2/index.html?page=help","name":"FlyAtlas 2 Documentation","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001243","bsg-d001243"],"name":"FAIRsharing record for: FlyAtlas 2","abbreviation":"FlyAtlas 2","url":"https://fairsharing.org/10.25504/FAIRsharing.0c6bc2","doi":"10.25504/FAIRsharing.0c6bc2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FlyAtlas 2 is the RNA-Seq successor to the original FlyAtlas (which was based on microarray analysis). Specifically, FlyAtlas 2 now provides access to: transcript information, sex-specific data for adult somatic tissues, and micro-RNA genes. FlyAtlas2 supports search by gene, category or tissue; and functionality has been improved through mobile support and the option to download results in spreadsheet format. Gene coverage has been extended by the inclusion of microRNAs and many of the RNA genes included in Release 6 of the Drosophila reference genome. The web interface has been modified to accommodate the extra data, but at the same time has been adapted for viewing on small mobile devices. Users also have access to the RNA-Seq reads displayed alongside the annotated Drosophila genome in the (external) UCSC browser, and are able to link out to the previous FlyAtlas resource to compare the data obtained by RNA-Seq with that obtained using microarrays.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Transcriptomics","Biology"],"domains":["RNA sequencing","Microarray experiment","DNA microarray","Micro RNA"],"taxonomies":["Drosophila melanogaster"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1460,"pubmed_id":17534367,"title":"Using FlyAtlas to identify better Drosophila melanogaster models of human disease.","year":2007,"url":"http://doi.org/10.1038/ng2049","authors":"Chintapalli VR,Wang J,Dow JA","journal":"Nat Genet","doi":"10.1038/ng2049","created_at":"2021-09-30T08:25:03.161Z","updated_at":"2021-09-30T08:25:03.161Z"},{"id":2463,"pubmed_id":29069479,"title":"FlyAtlas 2: a new version of the Drosophila melanogaster expression atlas with RNA-Seq, miRNA-Seq and sex-specific data.","year":2017,"url":"http://doi.org/10.1093/nar/gkx976","authors":"Leader DP,Krause SA,Pandit A,Davies SA,Dow JAT","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx976","created_at":"2021-09-30T08:27:02.067Z","updated_at":"2021-09-30T11:29:36.638Z"},{"id":2464,"pubmed_id":23203866,"title":"FlyAtlas: database of gene expression in the tissues of Drosophila melanogaster.","year":2012,"url":"http://doi.org/10.1093/nar/gks1141","authors":"Robinson SW,Herzyk P,Dow JA,Leader DP","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1141","created_at":"2021-09-30T08:27:02.166Z","updated_at":"2021-09-30T11:29:36.738Z"}],"licence_links":[],"grants":[{"id":3347,"fairsharing_record_id":2745,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:14.144Z","updated_at":"2021-09-30T09:30:40.340Z","grant_id":814,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/K019953/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3346,"fairsharing_record_id":2745,"organisation_id":1430,"relation":"maintains","created_at":"2021-09-30T09:26:14.114Z","updated_at":"2021-09-30T09:26:14.114Z","grant_id":null,"is_lead":true,"saved_state":{"id":1430,"name":"Institute of Molecular, Cell and Systems Biology (IMCSB), College of Medical, Veterinary \u0026 Life Sciences, University of Glasgow, United Kingdom","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2746","type":"fairsharing_records","attributes":{"created_at":"2018-12-17T13:19:43.000Z","updated_at":"2023-12-15T10:30:21.507Z","metadata":{"doi":"10.25504/FAIRsharing.14c4ca","name":"Fly-FISH","status":"ready","contacts":[{"contact_name":"Henry Krause","contact_email":"h.krause@utoronto.ca","contact_orcid":"0000-0002-6182-7074"}],"homepage":"http://fly-fish.ccbr.utoronto.ca/","identifier":2746,"description":"Fly-FISH documents the expression and localization patterns of Drosophila mRNAs at the cellular and subcellular level during early embryogenesis and third instar larval tissues. A high-resolution, high-throughput fluorescence detection method is used to detect expressed mRNAs. The data can be accessed by searching the localization categories, searching for specific genes or browsing the list of tested genes.","abbreviation":"Fly-FISH","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.youtube.com/watch?v=ox27uj3fgcc","name":"RNA patterns movie","type":"Video"},{"url":"http://fly-fish.ccbr.utoronto.ca/static/pdf/lecuyer-et-al-2008.pdf","name":"In Situ Protocol for Embryos","type":"Help documentation"},{"url":"http://fly-fish.ccbr.utoronto.ca/static/pdf/wilk-et-al-2010.pdf","name":"In Situ Protocol for Embryos and Larval Tissues","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013919","name":"re3data:r3d100013919","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001244","bsg-d001244"],"name":"FAIRsharing record for: Fly-FISH","abbreviation":"Fly-FISH","url":"https://fairsharing.org/10.25504/FAIRsharing.14c4ca","doi":"10.25504/FAIRsharing.14c4ca","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Fly-FISH documents the expression and localization patterns of Drosophila mRNAs at the cellular and subcellular level during early embryogenesis and third instar larval tissues. A high-resolution, high-throughput fluorescence detection method is used to detect expressed mRNAs. The data can be accessed by searching the localization categories, searching for specific genes or browsing the list of tested genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biology"],"domains":["Expression data","Bioimaging","Cellular localization","In situ hybridization","Fluorescence","Messenger RNA"],"taxonomies":["Drosophila"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":2485,"pubmed_id":17923096,"title":"Global analysis of mRNA localization reveals a prominent role in organizing cellular architecture and function.","year":2007,"url":"http://doi.org/10.1016/j.cell.2007.08.003","authors":"Lecuyer E,Yoshida H,Parthasarathy N,Alm C,Babak T,Cerovina T,Hughes TR,Tomancak P,Krause HM","journal":"Cell","doi":"10.1016/j.cell.2007.08.003","created_at":"2021-09-30T08:27:04.711Z","updated_at":"2021-09-30T08:27:04.711Z"},{"id":2494,"pubmed_id":26944682,"title":"Diverse and pervasive subcellular distributions for both coding and long noncoding RNAs.","year":2016,"url":"http://doi.org/10.1101/gad.276931.115","authors":"Wilk R,Hu J,Blotsky D,Krause HM","journal":"Genes Dev","doi":"10.1101/gad.276931.115","created_at":"2021-09-30T08:27:05.853Z","updated_at":"2021-09-30T08:27:05.853Z"}],"licence_links":[],"grants":[{"id":3348,"fairsharing_record_id":2746,"organisation_id":1649,"relation":"maintains","created_at":"2021-09-30T09:26:14.173Z","updated_at":"2021-09-30T09:26:14.173Z","grant_id":null,"is_lead":true,"saved_state":{"id":1649,"name":"Krause Lab, University of Toronto, Canada","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2747","type":"fairsharing_records","attributes":{"created_at":"2018-12-18T11:31:11.000Z","updated_at":"2024-01-03T07:58:10.196Z","metadata":{"doi":"10.25504/FAIRsharing.Q86Asf","name":"Regulatory Element Database for Drosophila","status":"ready","contacts":[{"contact_name":"Marc Halfon","contact_email":"redflyteam@gmail.com","contact_orcid":"0000-0002-4149-2705"}],"homepage":"http://redfly.ccr.buffalo.edu/","citations":[{"doi":"10.3390/insects13070618","pubmed_id":35886794,"publication_id":4072}],"identifier":2747,"description":"REDfly is a curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). REDfly seeks to include all experimentally verified fly regulatory elements along with their DNA sequence, their associated genes, and the expression patterns they direct.","abbreviation":"REDfly","data_curation":{"url":"http://redfly.ccr.buffalo.edu/help.php","type":"manual"},"support_links":[{"url":"http://redfly.ccr.buffalo.edu/contact.php","name":"Contact Form","type":"Contact form"},{"url":"http://redfly.ccr.buffalo.edu/help.php","name":"Help Pages","type":"Help documentation"},{"url":"http://redfly.ccr.buffalo.edu/news.php","name":"News and Release Notes","type":"Help documentation"},{"url":"http://redfly.ccr.buffalo.edu/aboutus.php","name":"About REDfly","type":"Help documentation"},{"url":"https://twitter.com/REDfly_database","name":"@REDfly_database","type":"Twitter"},{"url":"https://mstdn.science/@REDfly","name":"@REDfly@mstdn.science ","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001245","bsg-d001245"],"name":"FAIRsharing record for: Regulatory Element Database for Drosophila","abbreviation":"REDfly","url":"https://fairsharing.org/10.25504/FAIRsharing.Q86Asf","doi":"10.25504/FAIRsharing.Q86Asf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: REDfly is a curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). REDfly seeks to include all experimentally verified fly regulatory elements along with their DNA sequence, their associated genes, and the expression patterns they direct.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20014}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Integration","Bioinformatics","Genetics","Life Science","Molecular Genetics","Biology"],"domains":["DNA sequence data","Regulation of gene expression","Biological regulation","Transcription factor","Gene regulatory element","Sequence feature","Binding site","Sequence motif","Regulatory region","Literature curation"],"taxonomies":["Aedes aegypti","Anopheles gambiae","Drosophila melanogaster","Tribolium castaneum"],"user_defined_tags":["cis-regulatory modules"],"countries":["United States"],"publications":[{"id":2478,"pubmed_id":30329093,"title":"REDfly: the transcriptional regulatory element database for Drosophila.","year":2018,"url":"http://doi.org/10.1093/nar/gky957","authors":"Rivera J,Keranen SVE,Gallo SM,Halfon MS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky957","created_at":"2021-09-30T08:27:03.820Z","updated_at":"2021-09-30T11:29:37.428Z"},{"id":2479,"pubmed_id":16303794,"title":"REDfly: a Regulatory Element Database for Drosophila.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti794","authors":"Gallo SM,Li L,Hu Z,Halfon MS","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti794","created_at":"2021-09-30T08:27:04.003Z","updated_at":"2021-09-30T08:27:04.003Z"},{"id":2481,"pubmed_id":18039705,"title":"REDfly 2.0: an integrated database of cis-regulatory modules and transcription factor binding sites in Drosophila.","year":2007,"url":"http://doi.org/10.1093/nar/gkm876","authors":"Halfon MS,Gallo SM,Bergman CM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm876","created_at":"2021-09-30T08:27:04.267Z","updated_at":"2021-09-30T11:29:37.519Z"},{"id":2482,"pubmed_id":20965965,"title":"REDfly v3.0: toward a comprehensive database of transcriptional regulatory elements in Drosophila.","year":2010,"url":"http://doi.org/10.1093/nar/gkq999","authors":"Gallo SM,Gerrard DT,Miner D,Simich M,Des Soye B,Bergman CM,Halfon MS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq999","created_at":"2021-09-30T08:27:04.383Z","updated_at":"2021-09-30T11:29:37.611Z"},{"id":4072,"pubmed_id":35886794,"title":"REDfly: An Integrated Knowledgebase for Insect Regulatory Genomics.","year":2022,"url":"https://doi.org/10.3390/insects13070618","authors":"Keränen SVE, Villahoz-Baleta A, Bruno AE, Halfon MS","journal":"Insects","doi":"10.3390/insects13070618","created_at":"2023-12-19T15:40:53.149Z","updated_at":"2023-12-19T15:40:53.149Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":964,"relation":"undefined"}],"grants":[{"id":3349,"fairsharing_record_id":2747,"organisation_id":415,"relation":"maintains","created_at":"2021-09-30T09:26:14.202Z","updated_at":"2021-09-30T09:26:14.202Z","grant_id":null,"is_lead":false,"saved_state":{"id":415,"name":"Center for Computational Research, University of Buffalo, United States","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3350,"fairsharing_record_id":2747,"organisation_id":1208,"relation":"maintains","created_at":"2021-09-30T09:26:14.226Z","updated_at":"2021-09-30T09:26:14.226Z","grant_id":null,"is_lead":true,"saved_state":{"id":1208,"name":"Halfon Lab, University of Buffalo, United States","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2748","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T08:39:20.000Z","updated_at":"2023-12-15T10:28:58.237Z","metadata":{"doi":"10.25504/FAIRsharing.9btRvC","name":"China National GeneBank DataBase","status":"ready","contacts":[{"contact_name":"Vincent Wei","contact_email":"weixiaofeng@cngb.org","contact_orcid":"0000-0002-6741-5505"}],"homepage":"https://db.cngb.org/","citations":[{"doi":"10.16288/j.yczz.20-080","pubmed_id":32952115,"publication_id":3763}],"identifier":2748,"description":"The China National GeneBank database (CNGBdb) is a unified platform for biological big data sharing and application services. At present, CNGBdb has integrated a large amount of internal and external biological data from resources such as CNGB, NCBI, and the EBI. There are a number of sub databases in CNGBdb, including literature, variation, gene, genome, protein, sequence, organism, project, sample, experiment, run, and assembly. Based on underlying big data and cloud computing technologies, it provides various data services, including archive, analysis, knowledge search, management authorization of biological data. CNGBdb adopts data structures and standards of international omics, health, and medicine, such as The International Nucleotide Sequence Database Collaboration (INSDC), The Global Alliance for Genomics and Health GA4GH (GA4GH), Global Genome Biodiversity Network (GGBN), American College of Medical Genetics and Genomics (ACMG), and constructs standardized data and structures with wide compatibility. All public data and data services provided by CNGBdb are freely available to all users worldwide.\nCNGB Sequence Archive (CNSA) is the bionomics data repository of CNGBdb.\nCNGB Sequence Archive (CNSA) is a convenient and efficient archiving system of multi-omics data in life science, which provides archiving services for raw sequencing reads and further analyzed results. CNSA follows the international data standards for omics data, and supports online and batch submission of multiple data types such as Project, Sample, Experiment/Run, Assembly, Variation, Metabolism, Single cell, and Sequence. Moreover, CNSA has achieved the correlation of sample entities, sample information, and analyze data on some projects. Its data submission service can be used as a supplement to the literature publishing process to support early data sharing.","abbreviation":"CNGBdb","data_curation":{"type":"manual/automated"},"support_links":[{"url":"CNGBdb@cngb.org","name":"CNGBdb Support Mail","type":"Support email"},{"url":"https://db.cngb.org/faq/","name":"faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://db.cngb.org/handbook/","name":"Handbook","type":"Help documentation"},{"url":"https://db.cngb.org/data_standard/","name":"Data Standards Used","type":"Help documentation"},{"url":"https://db.cngb.org/news/","name":"News","type":"Help documentation"},{"url":"https://db.cngb.org/about/","name":"About Us","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"https://db.cngb.org/blast/blast/blastn/","name":"BLAST"},{"url":"https://db.cngb.org/pvd/","name":"Pathogen Variation"},{"url":"https://db.cngb.org/dissect/","name":"DISSECT"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012917","name":"re3data:r3d100012917","portal":"re3data"}],"data_access_condition":{"url":"https://db.cngb.org/data_instructions/","type":"partially open","notes":"All public data and data services provided by CNGBdb are freely available to all users worldwide."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://db.cngb.org/cnsa/submit/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001246","bsg-d001246"],"name":"FAIRsharing record for: China National GeneBank DataBase","abbreviation":"CNGBdb","url":"https://fairsharing.org/10.25504/FAIRsharing.9btRvC","doi":"10.25504/FAIRsharing.9btRvC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The China National GeneBank database (CNGBdb) is a unified platform for biological big data sharing and application services. At present, CNGBdb has integrated a large amount of internal and external biological data from resources such as CNGB, NCBI, and the EBI. There are a number of sub databases in CNGBdb, including literature, variation, gene, genome, protein, sequence, organism, project, sample, experiment, run, and assembly. Based on underlying big data and cloud computing technologies, it provides various data services, including archive, analysis, knowledge search, management authorization of biological data. CNGBdb adopts data structures and standards of international omics, health, and medicine, such as The International Nucleotide Sequence Database Collaboration (INSDC), The Global Alliance for Genomics and Health GA4GH (GA4GH), Global Genome Biodiversity Network (GGBN), American College of Medical Genetics and Genomics (ACMG), and constructs standardized data and structures with wide compatibility. All public data and data services provided by CNGBdb are freely available to all users worldwide.\nCNGB Sequence Archive (CNSA) is the bionomics data repository of CNGBdb.\nCNGB Sequence Archive (CNSA) is a convenient and efficient archiving system of multi-omics data in life science, which provides archiving services for raw sequencing reads and further analyzed results. CNSA follows the international data standards for omics data, and supports online and batch submission of multiple data types such as Project, Sample, Experiment/Run, Assembly, Variation, Metabolism, Single cell, and Sequence. Moreover, CNSA has achieved the correlation of sample entities, sample information, and analyze data on some projects. Its data submission service can be used as a supplement to the literature publishing process to support early data sharing.","linked_records":[],"linking_records":[{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12960}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Data Integration","Epigenomics","Metagenomics","Genomics","Data Management","Proteomics","Life Science","Metabolomics","Transcriptomics","Comparative Genomics","Omics"],"domains":["Taxonomic classification","Resource metadata","Nucleic acid sequence","Experimental measurement","Omics data analysis","Sequencing read","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":3759,"pubmed_id":35512705,"title":"Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays.","year":2022,"url":"https://doi.org/10.1016/j.cell.2022.04.003","authors":"Chen A, Liao S, Cheng M, Ma K, Wu L, Lai Y, Qiu X, Yang J, Xu J, Hao S, Wang X, Lu H, Chen X, Liu X, Huang X, Li Z, Hong Y, Jiang Y, Peng J, Liu S, Shen M, Liu C, Li Q, Yuan Y, Wei X, Zheng H, Feng W, Wang Z, Liu Y, Wang Z, Yang Y, Xiang H, Han L, Qin B, Guo P, Lai G, Muñoz-Cánoves P, Maxwell PH, Thiery JP, Wu QF, Zhao F, Chen B, Li M, Dai X, Wang S, Kuang H, Hui J, Wang L, Fei JF, Wang O, Wei X, Lu H, Wang B, Liu S, Gu Y, Ni M, Zhang W, Mu F, Yin Y, Yang H, Lisby M, Cornall RJ, Mulder J, Uhlén M, Esteban MA, Li Y, Liu L, Xu X, Wang J","journal":"Cell","doi":"10.1016/j.cell.2022.04.003","created_at":"2023-01-04T07:20:26.480Z","updated_at":"2023-01-04T07:20:26.480Z"},{"id":3760,"pubmed_id":31373607,"title":"PIRD: Pan Immune Repertoire Database.","year":2020,"url":"https://doi.org/10.1093/bioinformatics/btz614","authors":"Zhang W, Wang L, Liu K, Wei X, Yang K, Du W, Wang S, Guo N, Ma C, Luo L, Wu J, Lin L, Yang F, Gao F, Wang X, Li T, Zhang R, Saksena NK, Yang H, Wang J, Fang L, Hou Y, Xu X, Liu X","journal":"Bioinformatics (Oxford, England)","doi":"10.1093/bioinformatics/btz614","created_at":"2023-01-04T07:20:58.768Z","updated_at":"2023-01-04T07:20:58.768Z"},{"id":3761,"pubmed_id":34973426,"title":"CDCP: a visualization and analyzing platform for single-cell datasets.","year":2022,"url":"https://doi.org/10.1016/j.jgg.2021.12.004","authors":"Li Y, Yang T, Lai T, You L, Yang F, Qiu J, Wang L, Du W, Hua C, Xu Z, Cai J, Li Z, Liu Y, Li L, Zhang M, Chen J, Zhang L, Chen D, Wang W, Liu S, Wu L, Zeng W, Wang B, Wei X, Liu L, Chen F","journal":"Journal of genetics and genomics = Yi chuan xue bao","doi":"10.1016/j.jgg.2021.12.004","created_at":"2023-01-04T07:21:07.341Z","updated_at":"2023-01-04T07:21:07.341Z"},{"id":3762,"pubmed_id":32705130,"title":"CNSA: a data repository for archiving omics data.","year":2020,"url":"https://doi.org/10.1093/database/baaa055","authors":"Guo X, Chen F, Gao F, Li L, Liu K, You L, Hua C, Yang F, Liu W, Peng C, Wang L, Yang X, Zhou F, Tong J, Cai J, Li Z, Wan B, Zhang L, Yang T, Zhang M, Yang L, Yang Y, Zeng W, Wang B, Wei X, Xu X","journal":"Database : the journal of biological databases and curation","doi":"10.1093/database/baaa055","created_at":"2023-01-04T07:21:43.251Z","updated_at":"2023-01-04T07:21:43.251Z"},{"id":3763,"pubmed_id":32952115,"title":"CNGBdb: China National GeneBank DataBase.","year":2020,"url":"https://doi.org/10.16288/j.yczz.20-080","authors":"Chen FZ, You LJ, Yang F, Wang LN, Guo XQ, Gao F, Hua C, Tan C, Fang L, Shan RQ, Zeng WJ, Wang B, Wang R, Xu X, Wei XF","journal":"Yi chuan = Hereditas","doi":"10.16288/j.yczz.20-080","created_at":"2023-01-04T07:22:10.096Z","updated_at":"2023-01-04T07:22:10.096Z"}],"licence_links":[{"licence_name":"CNGB Privacy and security policy","licence_id":137,"licence_url":"https://db.cngb.org/policy/","link_id":2265,"relation":"undefined"},{"licence_name":"CNGB Terms and conditions","licence_id":138,"licence_url":"https://db.cngb.org/terms/","link_id":2266,"relation":"undefined"},{"licence_name":"CNGB User notice","licence_id":139,"licence_url":"https://db.cngb.org/user_notice/","link_id":2264,"relation":"undefined"}],"grants":[{"id":3354,"fairsharing_record_id":2748,"organisation_id":509,"relation":"maintains","created_at":"2021-09-30T09:26:14.326Z","updated_at":"2021-09-30T09:26:14.326Z","grant_id":null,"is_lead":true,"saved_state":{"id":509,"name":"China National GeneBank, Shenzhen, China","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":10290,"fairsharing_record_id":2748,"organisation_id":3854,"relation":"funds","created_at":"2023-01-04T07:18:24.338Z","updated_at":"2023-01-04T07:18:24.338Z","grant_id":1932,"is_lead":false,"saved_state":{"id":3854,"name":"Department of Science and Technology of Guangdong province","grant":"Guangdong Genome Science Data Center","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3353,"fairsharing_record_id":2748,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:26:14.300Z","updated_at":"2021-09-30T09:30:31.116Z","grant_id":744,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"U1301252","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa1lDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ca43973e3a17be758214ec39e26582e6e7da267f/CNGBdb%20logo%20%E6%A0%87%E5%87%86.png?disposition=inline","exhaustive_licences":false}},{"id":"2760","type":"fairsharing_records","attributes":{"created_at":"2019-03-28T14:52:41.000Z","updated_at":"2024-03-17T17:05:27.027Z","metadata":{"doi":"10.25504/FAIRsharing.lone3g","name":"e-cienciaDatos","status":"ready","contacts":[{"contact_name":"Juan Corrales","contact_email":"eciencia@consorciomadrono.es"}],"homepage":"https://edatos.consorciomadrono.es/","citations":[],"identifier":2760,"description":"e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data. The purpose of this repository is to ensure data preservation and to facilitate data access and reuse. e-cienciaDatos collects datasets from of each of the member universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.","abbreviation":"e-cienciaDatos","data_curation":{"url":"http://www.consorciomadrono.es/docs/eCienciaDatosTechnicalDescription.pdf","type":"manual/automated"},"support_links":[{"url":"http://guides.dataverse.org/en/4.11/user/","name":"User Guide","type":"Help documentation"},{"url":"http://www.consorciomadrono.es/docs/eCienciaDatosTechnicalDescription.pdf","name":"Technical Description","type":"Help documentation"},{"url":"https://edatos.consorciomadrono.es/resources/txt/guiaEcienciaDatos.pdf","name":"Manual (in spanish)","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012316","name":"re3data:r3d100012316","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"http://www.consorciomadrono.es/docs/PreservationPlan.pdf","name":"Data Preservation Plan"},"data_deposition_condition":{"type":"controlled","notes":"depositon from partner institutions only"},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://amt.coretrustseal.org/certificates","name":"CoreTrustSeal"}],"data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001258","bsg-d001258"],"name":"FAIRsharing record for: e-cienciaDatos","abbreviation":"e-cienciaDatos","url":"https://fairsharing.org/10.25504/FAIRsharing.lone3g","doi":"10.25504/FAIRsharing.lone3g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data. The purpose of this repository is to ensure data preservation and to facilitate data access and reuse. e-cienciaDatos collects datasets from of each of the member universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Humanities and Social Science","Astrophysics and Astronomy","Earth Science","Life Science","Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Geospatial Data","institutional repository"],"countries":["Spain"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3182,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":3181,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3183,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3115,"relation":"applies_to_content"}],"grants":[{"id":3381,"fairsharing_record_id":2760,"organisation_id":2961,"relation":"maintains","created_at":"2021-09-30T09:26:14.993Z","updated_at":"2021-09-30T09:26:14.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2961,"name":"Universidad Autonoma de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3384,"fairsharing_record_id":2760,"organisation_id":1742,"relation":"maintains","created_at":"2021-09-30T09:26:15.068Z","updated_at":"2021-09-30T09:26:15.068Z","grant_id":null,"is_lead":false,"saved_state":{"id":1742,"name":"Madroño Consorcio, Madrid, Spain","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3380,"fairsharing_record_id":2760,"organisation_id":2964,"relation":"maintains","created_at":"2021-09-30T09:26:14.969Z","updated_at":"2021-09-30T09:26:14.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":2964,"name":"Universidad de Alcala, Madrid, Spain","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3382,"fairsharing_record_id":2760,"organisation_id":2962,"relation":"maintains","created_at":"2021-09-30T09:26:15.018Z","updated_at":"2021-09-30T09:26:15.018Z","grant_id":null,"is_lead":false,"saved_state":{"id":2962,"name":"Universidad Carlos III de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3383,"fairsharing_record_id":2760,"organisation_id":2967,"relation":"maintains","created_at":"2021-09-30T09:26:15.043Z","updated_at":"2021-09-30T09:26:15.043Z","grant_id":null,"is_lead":false,"saved_state":{"id":2967,"name":"Universidad Nacional de Educacion a Distancia (UNED)","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3385,"fairsharing_record_id":2760,"organisation_id":2968,"relation":"maintains","created_at":"2021-09-30T09:26:15.094Z","updated_at":"2021-09-30T09:26:15.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":2968,"name":"Universidad Politecnica de Madrid","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3386,"fairsharing_record_id":2760,"organisation_id":3156,"relation":"maintains","created_at":"2021-09-30T09:26:15.120Z","updated_at":"2021-09-30T09:26:15.120Z","grant_id":null,"is_lead":false,"saved_state":{"id":3156,"name":"University Rey Juan Carlos","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdm9EIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--cd8dc68bb00dc8ac7b9b798d83c3f8837b92dfce/logo-ecienciaDatosv2.jpg?disposition=inline","exhaustive_licences":true}},{"id":"2761","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T17:53:06.000Z","updated_at":"2024-03-21T13:59:36.678Z","metadata":{"doi":"10.25504/FAIRsharing.Yedluf","name":"Clinical Interpretation of Variants in Cancer","status":"ready","contacts":[{"contact_name":"Malachi Griffith","contact_email":"help@civicdb.org","contact_orcid":"0000-0002-6388-446X"}],"homepage":"https://civicdb.org/","citations":[{"doi":"10.1038/ng.3774","pubmed_id":28138153,"publication_id":1771}],"identifier":2761,"description":"CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of inherited and somatic variants of all types. Realizing precision medicine will require information to be centralized, debated and interpreted for application in the clinic. CIViC is an open access, open source, community-driven web resource for Clinical Interpretation of Variants in Cancer. Our goal is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations.","abbreviation":"CIViC","data_curation":{"url":"https://civic.readthedocs.io/en/latest/curating.html","type":"manual"},"support_links":[{"url":"https://civicdb.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://civicdb.org/help/introduction","name":"Introduction to CIViC","type":"Help documentation"},{"url":"https://civicdb.org/glossary","name":"Glossary","type":"Help documentation"},{"url":"https://civicdb.org/contact","name":"CIViC contact page","type":"Help documentation"},{"url":"https://griffithlab.github.io/civic-api-docs/","name":"API documentation","type":"Github"},{"url":"https://civicdb.org/community/main","name":"Community Information","type":"Help documentation"},{"url":"https://civicdb.org/participate","name":"How to Contribute","type":"Help documentation"},{"url":"https://civicdb.org/statistics/evidence","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"url":"https://civicdb.org/pages/about","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001259","bsg-d001259"],"name":"FAIRsharing record for: Clinical Interpretation of Variants in Cancer","abbreviation":"CIViC","url":"https://fairsharing.org/10.25504/FAIRsharing.Yedluf","doi":"10.25504/FAIRsharing.Yedluf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of inherited and somatic variants of all types. Realizing precision medicine will require information to be centralized, debated and interpreted for application in the clinic. CIViC is an open access, open source, community-driven web resource for Clinical Interpretation of Variants in Cancer. Our goal is to enable precision medicine by providing an educational forum for dissemination of knowledge and active discussion of the clinical significance of cancer genome alterations.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12835},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16209}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Bioinformatics","Comparative Genomics","Translational Medicine"],"domains":["Cancer","Diagnosis","Genome","Sequence variant"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1771,"pubmed_id":28138153,"title":"CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer.","year":2017,"url":"http://doi.org/10.1038/ng.3774","authors":"Griffith M,Spies NC,Krysiak K,McMichael JF,Coffman AC,Danos AM,Ainscough BJ,Ramirez CA,Rieke DT,Kujan L,Barnell EK,Wagner AH,Skidmore ZL,Wollam A,Liu CJ,Jones MR,Bilski RL,Lesurf R,Feng YY,Shah NM,Bonakdar M,Trani L,Matlock M,Ramu A,Campbell KM,Spies GC,Graubert AP,Gangavarapu K,Eldred JM,Larson DE,Walker JR,Good BM,Wu C,Su AI,Dienstmann R,Margolin AA,Tamborero D,Lopez-Bigas N,Jones SJ,Bose R,Spencer DH,Wartman LD,Wilson RK,Mardis ER,Griffith OL","journal":"Nat Genet","doi":"10.1038/ng.3774","created_at":"2021-09-30T08:25:38.696Z","updated_at":"2021-09-30T08:25:38.696Z"},{"id":2391,"pubmed_id":30311370,"title":"Adapting crowdsourced clinical cancer curation in CIViC to the ClinGen minimum variant level data community-driven standards.","year":2018,"url":"http://doi.org/10.1002/humu.23651","authors":"Danos AM,Ritter DI,Wagner AH,Krysiak K,Sonkin D,Micheel C,McCoy M,Rao S,Raca G,Boca SM,Roy A,Barnell EK,McMichael JF,Kiwala S,Coffman AC,Kujan L,Kulkarni S,Griffith M,Madhavan S,Griffith OL","journal":"Hum Mutat","doi":"10.1002/humu.23651","created_at":"2021-09-30T08:26:53.684Z","updated_at":"2021-09-30T08:26:53.684Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":956,"relation":"undefined"}],"grants":[{"id":3387,"fairsharing_record_id":2761,"organisation_id":1801,"relation":"maintains","created_at":"2021-09-30T09:26:15.148Z","updated_at":"2021-09-30T09:26:15.148Z","grant_id":null,"is_lead":true,"saved_state":{"id":1801,"name":"McDonnell Genome Institute at Washington University School of Medicine, St, Louis, MO, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3388,"fairsharing_record_id":2761,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:15.199Z","updated_at":"2021-09-30T09:29:20.904Z","grant_id":206,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","grant":"U01CA20993601","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11610,"fairsharing_record_id":2761,"organisation_id":4038,"relation":"maintains","created_at":"2024-03-21T13:59:36.560Z","updated_at":"2024-03-21T13:59:36.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":4038,"name":"Washington University in St. Louis School of Medicine","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2762","type":"fairsharing_records","attributes":{"created_at":"2019-04-15T12:08:51.000Z","updated_at":"2023-12-15T10:30:42.528Z","metadata":{"doi":"10.25504/FAIRsharing.84Gh9z","name":"AHCODA-DB","status":"ready","contacts":[{"contact_name":"Bastijn Koopmans","contact_email":"bastijn.koopmans@sylics.com","contact_orcid":"0000-0001-8638-9798"}],"homepage":"https://public.sylics.com/","citations":[{"doi":"10.1186/s12859-017-1612-1","pubmed_id":28376796,"publication_id":2330}],"identifier":2762,"description":"AHCODA-DB is a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data. It provides users with tools to systematically explore mouse behavioural data, both with positive and negative outcome, published and unpublished, across time and experiments with single mouse resolution.","abbreviation":"AHCODA-DB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://mousedata.sylics.com/support/","name":"Support","type":"Contact form"},{"url":"https://public.sylics.com/?page=about","name":"About AHCODA-DB","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://public.sylics.com/?page=zscores","name":"Retrieve Z-Scores / Effect Sizes"}],"data_access_condition":{"url":"https://public.sylics.com/?page=about","type":"partially open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://public.sylics.com/?page=about","type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001260","bsg-d001260"],"name":"FAIRsharing record for: AHCODA-DB","abbreviation":"AHCODA-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.84Gh9z","doi":"10.25504/FAIRsharing.84Gh9z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AHCODA-DB is a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data. It provides users with tools to systematically explore mouse behavioural data, both with positive and negative outcome, published and unpublished, across time and experiments with single mouse resolution.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social and Behavioural Science","Phenomics","Neuroscience"],"domains":["Behavior","Cognition"],"taxonomies":["Mus musculus","Rattus rattus"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[{"id":2330,"pubmed_id":28376796,"title":"AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data.","year":2017,"url":"http://doi.org/10.1186/s12859-017-1612-1","authors":"Koopmans B, Smit AB, Verhage M, Loos M","journal":"BMC Bioinformatics","doi":"10.1186/s12859-017-1612-1","created_at":"2021-09-30T08:26:46.101Z","updated_at":"2021-09-30T08:26:46.101Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1704,"relation":"undefined"}],"grants":[{"id":3390,"fairsharing_record_id":2762,"organisation_id":2692,"relation":"maintains","created_at":"2021-09-30T09:26:15.270Z","updated_at":"2021-09-30T09:26:15.270Z","grant_id":null,"is_lead":true,"saved_state":{"id":2692,"name":"Sylics","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3391,"fairsharing_record_id":2762,"organisation_id":2125,"relation":"funds","created_at":"2021-09-30T09:26:15.303Z","updated_at":"2021-09-30T09:29:04.467Z","grant_id":81,"is_lead":false,"saved_state":{"id":2125,"name":"Netherlands Enterprise Agency (RVO), Assen, the Netherlands","grant":"BSIK03053","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3392,"fairsharing_record_id":2762,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:15.326Z","updated_at":"2021-09-30T09:30:47.940Z","grant_id":876,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"HEALTH-F2-2009-241498","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":7944,"fairsharing_record_id":2762,"organisation_id":2125,"relation":"funds","created_at":"2021-09-30T09:29:59.702Z","updated_at":"2021-09-30T09:29:59.746Z","grant_id":504,"is_lead":false,"saved_state":{"id":2125,"name":"Netherlands Enterprise Agency (RVO), Assen, the Netherlands","grant":"Dutch Data Prize 2016","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2749","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T12:59:50.000Z","updated_at":"2023-08-05T08:41:00.601Z","metadata":{"doi":"10.25504/FAIRsharing.91a79b","name":"Collaborative Open Plant Omics","status":"ready","contacts":[{"contact_name":"Felix Shaw","contact_email":"felix.shaw@earlham.ac.uk","contact_orcid":"0000-0001-9649-5906"}],"homepage":"https://copo-project.org/","citations":[{"publication_id":536}],"identifier":2749,"description":"COPO is a portal for plant scientists to describe, store and retrieve data more easily, using community standards and public repositories that enable the open sharing of results. COPO can link your outputs to your ORCiD profile. By tracking unique identifiers and DOIs, COPO can provide a way to monitor usage and get credit for your work, such as source code or research data, which still are not typically cited in the majority of scientific papers. COPO Wizards allow metadata to be added to your research objects with guided help and natural workflows. COPO can suggest metadata that might be appropriate for your data based on past submissions and similar workflows.","abbreviation":"COPO","data_curation":{"type":"not found"},"support_links":[{"url":"https://copo-project.readthedocs.io/en/latest/","name":"User Guide","type":"Help documentation"},{"url":"https://github.com/collaborative-open-plant-omics/COPO","name":"COPO on GitHub","type":"Github"}],"data_versioning":"not found","data_access_condition":{"url":"https://copo-project.org/about/","type":"partially open","notes":"Login with an Orcid profile is required to access any data."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://copo-project.org/copo/login/?next=/copo/","type":"open","notes":"Login with an Orcid profile is required to submit any data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001247","bsg-d001247"],"name":"FAIRsharing record for: Collaborative Open Plant Omics","abbreviation":"COPO","url":"https://fairsharing.org/10.25504/FAIRsharing.91a79b","doi":"10.25504/FAIRsharing.91a79b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: COPO is a portal for plant scientists to describe, store and retrieve data more easily, using community standards and public repositories that enable the open sharing of results. COPO can link your outputs to your ORCiD profile. By tracking unique identifiers and DOIs, COPO can provide a way to monitor usage and get credit for your work, such as source code or research data, which still are not typically cited in the majority of scientific papers. COPO Wizards allow metadata to be added to your research objects with guided help and natural workflows. COPO can suggest metadata that might be appropriate for your data based on past submissions and similar workflows.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11409},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12151}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Data Management"],"domains":["Resource metadata","Experimental measurement","DNA sequence data","Publication","Workflow","Protocol","Study design"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":536,"pubmed_id":null,"title":"COPO: a metadata platform for brokering FAIR data in the life sciences","year":2020,"url":"https://doi.org/10.12688/f1000research.23889.1","authors":"Shaw F, Etuk A, Minotto A et al.","journal":"F1000 Research","doi":"10.12688/f1000research.23889.1","created_at":"2021-09-30T08:23:18.568Z","updated_at":"2023-08-02T19:56:10.878Z"},{"id":3967,"pubmed_id":null,"title":"Collaborative-open-plant-omics/COPO: Release for Wellcome Open Research (v1.9.19)","year":2022,"url":"https://doi.org/10.5281/zenodo.7258483","authors":"Alice Minotto, Felix Shaw, Anthony Etuk, \u0026 Aaliyah Providence","journal":"Zenodo","doi":"10.5281/zenodo.7258483","created_at":"2023-08-02T19:55:30.199Z","updated_at":"2023-08-02T19:55:30.199Z"}],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":3306,"relation":"applies_to_content"}],"grants":[{"id":3355,"fairsharing_record_id":2749,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:26:14.360Z","updated_at":"2021-09-30T09:26:14.360Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3357,"fairsharing_record_id":2749,"organisation_id":3154,"relation":"maintains","created_at":"2021-09-30T09:26:14.417Z","updated_at":"2021-09-30T09:26:14.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3358,"fairsharing_record_id":2749,"organisation_id":2281,"relation":"maintains","created_at":"2021-09-30T09:26:14.433Z","updated_at":"2021-09-30T09:26:14.433Z","grant_id":null,"is_lead":false,"saved_state":{"id":2281,"name":"Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3356,"fairsharing_record_id":2749,"organisation_id":801,"relation":"maintains","created_at":"2021-09-30T09:26:14.385Z","updated_at":"2023-08-02T19:56:43.638Z","grant_id":null,"is_lead":true,"saved_state":{"id":801,"name":"Earlham Institute, Norwich, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2750","type":"fairsharing_records","attributes":{"created_at":"2018-12-19T13:57:34.000Z","updated_at":"2023-10-30T13:59:34.160Z","metadata":{"name":"ionomicHUB","status":"deprecated","contacts":[{"contact_name":"David E. Salt","contact_email":"dsalt@purdue.edu"}],"homepage":"https://www.ionomicshub.org/home/PiiMS","citations":[],"identifier":2750,"description":"ionomicHUB provides curated ionomic data on many thousands of plant samples freely available to the public. It is an international collaborative cyber research environment to help identify and understand the genes and gene networks that function to control the ionome, the mineral nutrient and trace element composition of an organism or tissue. The iHUB is a collaborative workspace with components that integrate both cyberinfrastructure and human interactions to maximize both community access to ionomic resources, and knowledge extraction from these resources. An ongoing site migration has resulted in this resource being listed with an \"In development\" status.","abbreviation":"iHUB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ionomicshub.org/ionomicsatlas/quickstartguide.pdf","name":"Ionomics Atlas Quick Start Guide","type":"Help documentation"},{"url":"http://ionomics.blogspot.com/feeds/posts/default?alt=rss","name":"RSS Feed","type":"Blog/News"}],"year_creation":2006,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010857","name":"re3data:r3d100010857","portal":"re3data"}],"deprecation_date":"2023-10-30","deprecation_reason":"This resource is no longer available at the stated homepage, and no alternative homepage can be found, therefore the record has been deprecated. Please get in touch with us if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001248","bsg-d001248"],"name":"FAIRsharing record for: ionomicHUB","abbreviation":"iHUB","url":"https://fairsharing.org/fairsharing_records/2750","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ionomicHUB provides curated ionomic data on many thousands of plant samples freely available to the public. It is an international collaborative cyber research environment to help identify and understand the genes and gene networks that function to control the ionome, the mineral nutrient and trace element composition of an organism or tissue. The iHUB is a collaborative workspace with components that integrate both cyberinfrastructure and human interactions to maximize both community access to ionomic resources, and knowledge extraction from these resources. An ongoing site migration has resulted in this resource being listed with an \"In development\" status.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11410},{"linking_record_name":"ELIXIR UK node resources","linking_record_id":3534,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12152}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Genetics","Life Science"],"domains":["Protein interaction","Gene"],"taxonomies":["Arabidopsis thaliana","Glycine max","Oryza sativa","Zea mays"],"user_defined_tags":["Income"],"countries":["United Kingdom"],"publications":[{"id":2714,"pubmed_id":17189337,"title":"Purdue ionomics information management system. An integrated functional genomics platform.","year":2006,"url":"http://doi.org/10.1104/pp.106.092528","authors":"Baxter I,Ouzzani M,Orcun S,Kennedy B,Jandhyala SS,Salt DE","journal":"Plant Physiol","doi":"10.1104/pp.106.092528","created_at":"2021-09-30T08:27:33.305Z","updated_at":"2021-09-30T08:27:33.305Z"}],"licence_links":[{"licence_name":"University of Nottingham Privacy","licence_id":824,"licence_url":"https://www.nottingham.ac.uk/utilities/privacy/privacy.aspx","link_id":1738,"relation":"undefined"},{"licence_name":"University of Nottingham Terms of Use","licence_id":825,"licence_url":"https://www.nottingham.ac.uk/utilities/terms.aspx","link_id":1737,"relation":"undefined"}],"grants":[{"id":3359,"fairsharing_record_id":2750,"organisation_id":2385,"relation":"funds","created_at":"2021-09-30T09:26:14.450Z","updated_at":"2021-09-30T09:26:14.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":2385,"name":"Purdue University Discovery Park, West Lafayette, IN, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3361,"fairsharing_record_id":2750,"organisation_id":1326,"relation":"funds","created_at":"2021-09-30T09:26:14.483Z","updated_at":"2021-09-30T09:31:12.883Z","grant_id":1067,"is_lead":false,"saved_state":{"id":1326,"name":"Indiana's 21st Century Research \u0026 Technology Fund, Muncie, IN , USA","grant":"912010479","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3364,"fairsharing_record_id":2750,"organisation_id":2848,"relation":"maintains","created_at":"2021-09-30T09:26:14.533Z","updated_at":"2021-09-30T09:26:14.533Z","grant_id":null,"is_lead":true,"saved_state":{"id":2848,"name":"The University of Nottingham, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3360,"fairsharing_record_id":2750,"organisation_id":2590,"relation":"maintains","created_at":"2021-09-30T09:26:14.467Z","updated_at":"2021-09-30T09:26:14.467Z","grant_id":null,"is_lead":false,"saved_state":{"id":2590,"name":"Software Sustainability Institute, Edinburgh, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3362,"fairsharing_record_id":2750,"organisation_id":2075,"relation":"funds","created_at":"2021-09-30T09:26:14.500Z","updated_at":"2021-09-30T09:29:34.695Z","grant_id":309,"is_lead":false,"saved_state":{"id":2075,"name":"National Science Foundation Plant Genome Research, Alexandria, VA, USA","grant":"DBI 0077378","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3365,"fairsharing_record_id":2750,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:14.550Z","updated_at":"2021-09-30T09:30:56.119Z","grant_id":941,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5 R33 DK070290–03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3363,"fairsharing_record_id":2750,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:14.517Z","updated_at":"2021-09-30T09:30:23.017Z","grant_id":686,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOB 0419695","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2766","type":"fairsharing_records","attributes":{"created_at":"2019-05-09T14:46:29.000Z","updated_at":"2023-12-15T10:28:09.203Z","metadata":{"doi":"10.25504/FAIRsharing.wBOua0","name":"PLAZA","status":"ready","contacts":[{"contact_name":"Klaas Vandepoele","contact_email":"plaza@psb.vib-ugent.be","contact_orcid":"0000-0003-4790-2725"},{"contact_name":"General Contact","contact_email":"plaza@psb.vib-ugent.be","contact_orcid":null}],"homepage":"https://bioinformatics.psb.ugent.be/plaza/","citations":[{"doi":"10.1093/nar/gkx1002","pubmed_id":29069403,"publication_id":193},{"doi":"10.1093/nar/gkab1024","pubmed_id":null,"publication_id":3232}],"identifier":2766,"description":"PLAZA is a platform for comparative, evolutionary, and functional genomics. It makes a broad set of genomes, data types and analysis tools available to researchers through a user-friendly website, an API, and bulk downloads. The platform consists of multiple instances, where each instance contains additional genomes, improved genome annotations, new software tools, and similar.","abbreviation":"PLAZA","data_curation":{"type":"not found"},"support_links":[{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/pages/fair_data","name":"PLAZA and FAIR data","type":"Help documentation"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation","name":"PLAZA Documentation","type":"Help documentation"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/news","name":"News","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/plant-bioinformatics","name":"Plant Bioinformatics","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/plaza-is-a-plant-oriented-online-resource-for-comparative-evolutionary-and-functional-genomics","name":"PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics","type":"TeSS links to training materials"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation/tutorial","name":"PLAZA Tutorials","type":"Training documentation"},{"url":"https://twitter.com/plaza_genomics","name":"@plaza_genomics","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://phyd3.bits.vib.be","name":"PhyD3 v1.0"},{"url":"https://bioinformatics.psb.ugent.be/plaza_development/documentation/intro_tutorial#navigation_table_tools","name":"PLAZA Tool Listing"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001265","bsg-d001265"],"name":"FAIRsharing record for: PLAZA","abbreviation":"PLAZA","url":"https://fairsharing.org/10.25504/FAIRsharing.wBOua0","doi":"10.25504/FAIRsharing.wBOua0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PLAZA is a platform for comparative, evolutionary, and functional genomics. It makes a broad set of genomes, data types and analysis tools available to researchers through a user-friendly website, an API, and bulk downloads. The platform consists of multiple instances, where each instance contains additional genomes, improved genome annotations, new software tools, and similar.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12838},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13994}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Phylogenetics","Evolutionary Biology","Life Science","Communication Science"],"domains":["Protein domain","Gene Ontology enrichment","Genome annotation","Function analysis","Protein Analysis","Classification","Amino acid sequence","Genome","FAIR"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":193,"pubmed_id":29069403,"title":"PLAZA 4.0: an integrative resource for functional, evolutionary and comparative plant genomics.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1002","authors":"Van Bel M,Diels T,Vancaester E,Kreft L,Botzki A,Van de Peer Y,Coppens F,Vandepoele K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1002","created_at":"2021-09-30T08:22:41.112Z","updated_at":"2021-09-30T11:28:43.841Z"},{"id":1983,"pubmed_id":20040540,"title":"PLAZA: a comparative genomics resource to study gene and genome evolution in plants.","year":2009,"url":"http://doi.org/10.1105/tpc.109.071506","authors":"Proost S,Van Bel M,Sterck L,Billiau K,Van Parys T,Van de Peer Y,Vandepoele K","journal":"Plant Cell","doi":"10.1105/tpc.109.071506","created_at":"2021-09-30T08:26:03.165Z","updated_at":"2021-09-30T08:26:03.165Z"},{"id":1993,"pubmed_id":22198273,"title":"Dissecting plant genomes with the PLAZA comparative genomics platform.","year":2011,"url":"http://doi.org/10.1104/pp.111.189514","authors":"Van Bel M,Proost S,Wischnitzki E,Movahedi S,Scheerlinck C,Van de Peer Y,Vandepoele K","journal":"Plant Physiol","doi":"10.1104/pp.111.189514","created_at":"2021-09-30T08:26:04.357Z","updated_at":"2021-09-30T08:26:04.357Z"},{"id":1996,"pubmed_id":25324309,"title":"PLAZA 3.0: an access point for plant comparative genomics.","year":2014,"url":"http://doi.org/10.1093/nar/gku986","authors":"Proost S,Van Bel M,Vaneechoutte D,Van de Peer Y,Inze D,Mueller-Roeber B,Vandepoele K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku986","created_at":"2021-09-30T08:26:04.680Z","updated_at":"2021-09-30T11:29:25.303Z"},{"id":3232,"pubmed_id":null,"title":"PLAZA 5.0: extending the scope and power of comparative and functional genomics in plants","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1024","authors":"Van Bel, Michiel; Silvestri, Francesca; Weitz, Eric M; Kreft, Lukasz; Botzki, Alexander; Coppens, Frederik; Vandepoele, Klaas; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1024","created_at":"2022-02-09T16:44:14.946Z","updated_at":"2022-02-09T16:44:14.946Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1477,"relation":"undefined"}],"grants":[{"id":3418,"fairsharing_record_id":2766,"organisation_id":3184,"relation":"maintains","created_at":"2021-09-30T09:26:16.005Z","updated_at":"2021-09-30T09:26:16.005Z","grant_id":null,"is_lead":true,"saved_state":{"id":3184,"name":"VIB-UGent Center for Plant Systems Biology, Ghent, Belgium","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3417,"fairsharing_record_id":2766,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:26:15.969Z","updated_at":"2021-09-30T09:26:15.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10022,"fairsharing_record_id":2766,"organisation_id":841,"relation":"funds","created_at":"2022-10-13T09:43:39.044Z","updated_at":"2022-10-13T09:43:39.044Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8796,"fairsharing_record_id":2766,"organisation_id":3183,"relation":"funds","created_at":"2022-02-09T16:47:04.264Z","updated_at":"2022-02-09T16:47:04.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":3183,"name":"VIB, Belgium","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8798,"fairsharing_record_id":2766,"organisation_id":3381,"relation":"funds","created_at":"2022-02-09T16:47:04.289Z","updated_at":"2022-02-09T16:47:04.289Z","grant_id":null,"is_lead":false,"saved_state":{"id":3381,"name":"University of Potsdam","types":["University"],"is_lead":false,"relation":"funds"}},{"id":8799,"fairsharing_record_id":2766,"organisation_id":1793,"relation":"funds","created_at":"2022-02-09T16:47:04.310Z","updated_at":"2022-02-09T16:47:04.310Z","grant_id":null,"is_lead":false,"saved_state":{"id":1793,"name":"Max Planck Institute of Molecular Plant Physiology (MPIMP), Munich, Germany","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3416,"fairsharing_record_id":2766,"organisation_id":3183,"relation":"maintains","created_at":"2021-09-30T09:26:15.944Z","updated_at":"2021-09-30T09:26:15.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":3183,"name":"VIB, Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9150,"fairsharing_record_id":2766,"organisation_id":1152,"relation":"funds","created_at":"2022-04-11T12:07:17.772Z","updated_at":"2022-04-11T12:07:17.772Z","grant_id":null,"is_lead":false,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBMUT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a97cccb19da7576a6a5803677a07961471ce227d/plaza.png?disposition=inline","exhaustive_licences":false}},{"id":"2768","type":"fairsharing_records","attributes":{"created_at":"2019-04-09T09:31:03.000Z","updated_at":"2023-06-22T17:31:52.706Z","metadata":{"doi":"10.25504/FAIRsharing.Tb0BKn","name":"Science Data Bank","status":"ready","contacts":[{"contact_name":"Jiang Lulu","contact_email":"sciencedb@cnic.cn"}],"homepage":"https://www.scidb.cn/en","citations":[],"identifier":2768,"description":"ScienceDB (Science Data Bank) is an open generalist data repository developed and maintained by the CNIC. It promotes the publication and reuse of scientific data. Researchers and journal publishers can use it to store, manage and share science data.","abbreviation":"ScienceDB","data_curation":{"url":"https://www.scidb.cn/en/publishing_process","type":"manual"},"support_links":[{"url":"https://www.scidb.cn/en/English/ours/faq","name":"ScienceDB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.sciencedb.cn/static/submit","name":"Guide for Researchers","type":"Help documentation"},{"url":"https://www.sciencedb.cn/static/use","name":"Guide for Journal Publishers","type":"Help documentation"},{"url":"https://www.scidb.cn/en/English/ours/use","name":"Introduction","type":"Help documentation"},{"url":"https://www.sciencedb.cn/news/listPage","name":"News","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013177","name":"re3data:r3d100013177","portal":"re3data"}],"data_access_condition":{"url":"https://www.scidb.cn/en/faq#item7","type":"partially open","notes":"Portions of the database are restricted and will require a data access agreement"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.scidb.cn/en/faq#item10","name":"ScienceDB provides permanent access to all data accepted for publishing on this site, unless the data violates relevant rules or regulations"},"data_deposition_condition":{"url":"https://www.scidb.cn/en/publishing_process","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001267","bsg-d001267"],"name":"FAIRsharing record for: Science Data Bank","abbreviation":"ScienceDB","url":"https://fairsharing.org/10.25504/FAIRsharing.Tb0BKn","doi":"10.25504/FAIRsharing.Tb0BKn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ScienceDB (Science Data Bank) is an open generalist data repository developed and maintained by the CNIC. It promotes the publication and reuse of scientific data. Researchers and journal publishers can use it to store, manage and share science data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Aerospace Engineering","Data Management","Earth Science","Life Science","Subject Agnostic","Chemical Engineering","Biology","Mechanics"],"domains":[],"taxonomies":["All"],"user_defined_tags":["Sociology"],"countries":["China"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1814,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":2560,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2558,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":2559,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":2561,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2557,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1819,"relation":"undefined"},{"licence_name":"ScienceDB Terms and Conditions","licence_id":736,"licence_url":"https://www.scidb.cn/en/English/ours/serviceTerm","link_id":1808,"relation":"applies_to_content"}],"grants":[{"id":3422,"fairsharing_record_id":2768,"organisation_id":588,"relation":"maintains","created_at":"2021-09-30T09:26:16.103Z","updated_at":"2021-09-30T09:26:16.103Z","grant_id":null,"is_lead":true,"saved_state":{"id":588,"name":"Computer Network Information Center, Chinese Academy of Sciences","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2770","type":"fairsharing_records","attributes":{"created_at":"2019-05-06T12:50:23.000Z","updated_at":"2024-06-27T12:31:42.634Z","metadata":{"doi":"10.25504/FAIRsharing.EnRBIa","name":"Federated Research Data Repository","status":"ready","contacts":[{"contact_name":"Lee Wilson","contact_email":"lee.wilson@engagedri.ca","contact_orcid":"0000-0003-2878-8349"}],"homepage":"https://www.frdr-dfdr.ca/","citations":[],"identifier":2770,"description":"The Federated Research Data Repository (FRDR) is a place for Canadian researchers to deposit and share research data and to facilitate discovery of research data in Canadian repositories.","abbreviation":"FRDR","data_curation":{"url":"https://www.frdr-dfdr.ca/repo/","type":"manual"},"support_links":[{"url":"support@frdr-dfdr.ca","name":"FRDR Support","type":"Support email"},{"url":"https://www.frdr-dfdr.ca/docs/en/documentation/","name":"FRDR Documentation","type":"Help documentation"},{"url":"https://youtube.com/playlist?list=PLX9EpizS4A0suoSV2N0nn9parl96xHPkz","name":"FRDR Tutorial Videos","type":"Video"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://www.globus.org/data-transfer","name":"Globus Transfer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012646","name":"re3data:r3d100012646","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.frdr-dfdr.ca/repo/","type":"controlled","notes":"Only Canadian research data can be submitted"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001269","bsg-d001269"],"name":"FAIRsharing record for: Federated Research Data Repository","abbreviation":"FRDR","url":"https://fairsharing.org/10.25504/FAIRsharing.EnRBIa","doi":"10.25504/FAIRsharing.EnRBIa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Federated Research Data Repository (FRDR) is a place for Canadian researchers to deposit and share research data and to facilitate discovery of research data in Canadian repositories.","linked_records":[],"linking_records":[{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12985}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Health Science","Earth Science","Agriculture","Subject Agnostic"],"domains":["Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":2621,"pubmed_id":null,"title":"Exploring the Canadian Federated Research Data Repository Service","year":2017,"url":"https://doi.org/10.3897/tdwgproceedings.1.20185","authors":"Lee Wilson","journal":"Proceedings of TDWG 1","doi":null,"created_at":"2021-09-30T08:27:21.763Z","updated_at":"2021-09-30T08:27:21.763Z"},{"id":2636,"pubmed_id":null,"title":"Checksums on Modern Filesystems, or: On the virtuous consumption of CPU cycles","year":2018,"url":"https://doi.org/10.17605/OSF.IO/Y4Z3E","authors":"Alex Garnett, Justin Simpson, Mike Winter","journal":"Proceedings of iPres2018 Conference","doi":null,"created_at":"2021-09-30T08:27:23.754Z","updated_at":"2021-09-30T08:27:23.754Z"},{"id":2638,"pubmed_id":null,"title":"Open Metadata for Research Data Discovery in Canada","year":2017,"url":"https://doi.org/10.1080/19386389.2018.1443698","authors":"Alex Garnett, Amber Leahey, Dany Savard, Barbara Towell, Lee Wilson","journal":"Journal of Library Metadata","doi":null,"created_at":"2021-09-30T08:27:23.988Z","updated_at":"2021-09-30T08:27:23.988Z"}],"licence_links":[{"licence_name":"FRDR Terms of Service","licence_id":323,"licence_url":"https://www.frdr-dfdr.ca/docs/en/terms_of_use/","link_id":1656,"relation":"undefined"}],"grants":[{"id":3426,"fairsharing_record_id":2770,"organisation_id":3437,"relation":"maintains","created_at":"2021-09-30T09:26:16.246Z","updated_at":"2024-06-26T12:53:54.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":3437,"name":"Digital Research Alliance of Canada","types":["Government body","Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3425,"fairsharing_record_id":2770,"organisation_id":2348,"relation":"maintains","created_at":"2021-09-30T09:26:16.213Z","updated_at":"2021-09-30T09:26:16.213Z","grant_id":null,"is_lead":true,"saved_state":{"id":2348,"name":"Portage Network","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":10028,"fairsharing_record_id":2770,"organisation_id":3437,"relation":"funds","created_at":"2022-10-13T09:43:40.052Z","updated_at":"2022-10-13T09:43:40.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":3437,"name":"Digital Research Alliance of Canada","types":["Government body","Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2758","type":"fairsharing_records","attributes":{"created_at":"2019-03-06T15:41:09.000Z","updated_at":"2023-12-15T10:29:01.100Z","metadata":{"doi":"10.25504/FAIRsharing.6AmTXC","name":"Biodiversity Exploratories Information System","status":"ready","contacts":[{"contact_name":"Andreas Ostrowski","contact_email":"bexis@listserv.uni-jena.de","contact_orcid":"0000-0002-2033-779X"}],"homepage":"https://www.bexis.uni-jena.de/","citations":[],"identifier":2758,"description":"BExIS is the online data repository and information system of the Biodiversity Exploratories Project (BE). The BE is a German network of biodiversity related working groups from areas such as vegetation and soil science, zoology and forestry. Up to three years after data acquisition, the data use is restricted to members of the BE. Thereafter, the data is usually publicly available.","abbreviation":"BExIS","data_curation":{"url":"https://mint.bio.uniroma2.it/index.php/sample-page/","type":"manual/automated","notes":"MINT has signed the IMEx agreement to share curation efforts and supports the Protein Standard Initiative (PSI) recommendation."},"support_links":[{"url":"bexis@listserv.uni-jena.de","name":"contact mail","type":"Mailing list"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToRegister.md","name":"How to Register","type":"Help documentation"},{"url":"https://twitter.com/BExplo_research","name":"@BExplo_research","type":"Twitter"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToUpload.md","name":"How to Upload","type":"Help documentation"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToSearch.md","name":"How to Search","type":"Help documentation"},{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToCreditData.md","name":"How to Credit Data","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012058","name":"re3data:r3d100012058","portal":"re3data"}],"data_access_condition":{"url":"https://www.bexis.uni-jena.de/TermsAndConditions/Index","type":"partially open","notes":"In order to download publicly available data, you need to confirm a dedicated data agreemen"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://github.com/bexis/Documents/blob/master/HowTo/HowToUpload.md","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001256","bsg-d001256"],"name":"FAIRsharing record for: Biodiversity Exploratories Information System","abbreviation":"BExIS","url":"https://fairsharing.org/10.25504/FAIRsharing.6AmTXC","doi":"10.25504/FAIRsharing.6AmTXC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BExIS is the online data repository and information system of the Biodiversity Exploratories Project (BE). The BE is a German network of biodiversity related working groups from areas such as vegetation and soil science, zoology and forestry. Up to three years after data acquisition, the data use is restricted to members of the BE. Thereafter, the data is usually publicly available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Soil Science","Botany","Zoology","Ecology","Biodiversity"],"domains":["Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":113,"pubmed_id":null,"title":"Diverse or uniform? — Intercomparison of two major German project databases for interdisciplinary collaborative functional biodiversity research","year":2012,"url":"http://doi.org/https://doi.org/10.1016/j.ecoinf.2011.11.004","authors":"Lotz T., Nieschulze J., Bendix J., Dobbermann M., König-Ries B.","journal":"Ecological Informatics","doi":"https://doi.org/10.1016/j.ecoinf.2011.11.004","created_at":"2021-09-30T08:22:32.580Z","updated_at":"2021-09-30T08:22:32.580Z"},{"id":3171,"pubmed_id":null,"title":"BEXIS2: A FAIR-aligned data management system for biodiversity, ecology and environmental data","year":2021,"url":"http://dx.doi.org/10.3897/BDJ.9.e72901","authors":"Chamanara, Javad; Gaikwad, Jitendra; Gerlach, Roman; Algergawy, Alsayed; Ostrowski, Andreas; König-Ries, Birgitta; ","journal":"BDJ","doi":"10.3897/bdj.9.e72901","created_at":"2022-01-05T11:19:27.769Z","updated_at":"2022-01-05T11:19:27.769Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2545,"relation":"applies_to_content"},{"licence_name":"BExIS Terms and Conditions","licence_id":898,"licence_url":"https://www.bexis.uni-jena.de/footer/termsandconditions","link_id":2546,"relation":"applies_to_content"}],"grants":[{"id":3376,"fairsharing_record_id":2758,"organisation_id":1064,"relation":"maintains","created_at":"2021-09-30T09:26:14.868Z","updated_at":"2021-09-30T09:26:14.868Z","grant_id":null,"is_lead":true,"saved_state":{"id":1064,"name":"Friedrich Schiller University Jena","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3377,"fairsharing_record_id":2758,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:14.893Z","updated_at":"2021-09-30T09:26:14.893Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2759","type":"fairsharing_records","attributes":{"created_at":"2019-02-22T05:32:49.000Z","updated_at":"2024-03-21T13:58:54.308Z","metadata":{"doi":"10.25504/FAIRsharing.5Pze7l","name":"GlyTouCan","status":"ready","contacts":[{"contact_name":"Kiyoko F. Aoki-Kinoshita","contact_email":"kkiyoko@soka.ac.jp"}],"homepage":"https://glytoucan.org","citations":[{"doi":"10.1093/glycob/cwx066","pubmed_id":28922742,"publication_id":2317}],"identifier":2759,"description":"The international glycan structure repository for glycans published in the literature. Any glycan structure, ranging in resolution from monosaccharide composition to fully defined structures can be registered and have an accession number assigned as long as there are no inconsistencies in the structure.","abbreviation":"GlyTouCan","data_curation":{"url":"https://glytoucan.org/","type":"none"},"support_links":[{"url":"glytoucan@gmail.com","name":"GlyTouCan Support","type":"Support email"},{"url":"https://twitter.com/glytoucan","name":"@glytoucan","type":"Twitter"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012388","name":"re3data:r3d100012388","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open","notes":"Free login is required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001257","bsg-d001257"],"name":"FAIRsharing record for: GlyTouCan","abbreviation":"GlyTouCan","url":"https://fairsharing.org/10.25504/FAIRsharing.5Pze7l","doi":"10.25504/FAIRsharing.5Pze7l","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The international glycan structure repository for glycans published in the literature. Any glycan structure, ranging in resolution from monosaccharide composition to fully defined structures can be registered and have an accession number assigned as long as there are no inconsistencies in the structure.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12834}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology","Glycomics"],"domains":["Molecular structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2317,"pubmed_id":28922742,"title":"GlyTouCan: an accessible glycan structure repository.","year":2017,"url":"http://doi.org/10.1093/glycob/cwx066","authors":"Tiemeyer M,Aoki K,Paulson J,Cummings RD,York WS,Karlsson NG,Lisacek F,Packer NH,Campbell MP,Aoki NP,Fujita A,Matsubara M,Shinmachi D,Tsuchiya S,Yamada I,Pierce M,Ranzinger R,Narimatsu H,Aoki-Kinoshita KF","journal":"Glycobiology","doi":"10.1093/glycob/cwx066","created_at":"2021-09-30T08:26:44.301Z","updated_at":"2021-09-30T08:26:44.301Z"},{"id":2318,"pubmed_id":26476458,"title":"GlyTouCan 1.0--The international glycan structure repository.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1041","authors":"Aoki-Kinoshita K,Agravat S,Aoki NP,Arpinar S,Cummings RD,Fujita A,Fujita N,Hart GM,Haslam SM,Kawasaki T,Matsubara M,Moreman KW,Okuda S,Pierce M,Ranzinger R,Shikanai T,Shinmachi D,Solovieva E,Suzuki Y,Tsuchiya S,Yamada I,York WS,Zaia J,Narimatsu H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1041","created_at":"2021-09-30T08:26:44.458Z","updated_at":"2021-09-30T11:29:33.027Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":8,"relation":"undefined"}],"grants":[{"id":3378,"fairsharing_record_id":2759,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:26:14.918Z","updated_at":"2021-09-30T09:26:14.918Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11556,"fairsharing_record_id":2759,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:54.130Z","updated_at":"2024-03-21T13:58:54.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2789","type":"fairsharing_records","attributes":{"created_at":"2019-07-04T13:14:17.000Z","updated_at":"2022-07-20T12:10:39.665Z","metadata":{"name":"Long Term Ecological Research Network Information System Data Portal","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"support@environmentaldatainitiative.org"}],"homepage":"https://portal.lternet.edu/nis/home.jsp","identifier":2789,"description":"The LTER Network Information System Data Portal contains ecological data packages contributed by past and present LTER sites. Data and metadata derived from publicly funded research in the U.S. LTER Network are made available online with as few restrictions as possible, on a non-discriminatory basis. The LTER is able to support high-level analysis and synthesis of complex ecosystem data across the science-policy-management continuum, which in turn helps advance ecosystem research.","abbreviation":"LTER NIS Data Portal","data_curation":{"type":"not found"},"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://portal.lternet.edu/nis/provenanceGenerator.jsp","name":"Provenance Generator"},{"url":"https://portal.lternet.edu/nis/metadataPreviewer.jsp","name":"Metadata Previewer"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by the Environmental Data Initiative Data Repository.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001288","bsg-d001288"],"name":"FAIRsharing record for: Long Term Ecological Research Network Information System Data Portal","abbreviation":"LTER NIS Data Portal","url":"https://fairsharing.org/fairsharing_records/2789","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LTER Network Information System Data Portal contains ecological data packages contributed by past and present LTER sites. Data and metadata derived from publicly funded research in the U.S. LTER Network are made available online with as few restrictions as possible, on a non-discriminatory basis. The LTER is able to support high-level analysis and synthesis of complex ecosystem data across the science-policy-management continuum, which in turn helps advance ecosystem research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Ecology","Life Science","Ecosystem Science"],"domains":["Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3473,"fairsharing_record_id":2789,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.528Z","updated_at":"2021-09-30T09:29:20.644Z","grant_id":204,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#DEB-0936498","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3472,"fairsharing_record_id":2789,"organisation_id":1725,"relation":"maintains","created_at":"2021-09-30T09:26:17.504Z","updated_at":"2021-09-30T09:26:17.504Z","grant_id":null,"is_lead":false,"saved_state":{"id":1725,"name":"Long-Term Ecological Research (LTER) Network","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3474,"fairsharing_record_id":2789,"organisation_id":866,"relation":"maintains","created_at":"2021-09-30T09:26:17.554Z","updated_at":"2021-09-30T09:26:17.554Z","grant_id":null,"is_lead":true,"saved_state":{"id":866,"name":"Environmental Data Initiative, Center for Limnology, University of Wisconsin, Madison, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":7984,"fairsharing_record_id":2789,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:30:15.435Z","updated_at":"2021-09-30T09:30:15.491Z","grant_id":624,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#DEB-0832652","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2790","type":"fairsharing_records","attributes":{"created_at":"2019-07-09T10:41:30.000Z","updated_at":"2023-06-23T15:05:28.843Z","metadata":{"doi":"10.25504/FAIRsharing.22e3be","name":"Princeton University MicroArray database","status":"ready","contacts":[{"contact_name":"John Matese","contact_email":"jcmatese@princeton.edu","contact_orcid":"0000-0002-9432-8909"}],"homepage":"http://puma.princeton.edu","citations":[],"identifier":2790,"description":"The Princeton University MicroArray database (PUMAdb) stores raw and normalized data from microarray experiments, as well as their corresponding image files. In addition, PUMAdb provides interfaces for data retrieval, analysis and visualization.","abbreviation":"PUMAdb","data_curation":{"url":"https://puma.princeton.edu/help/FAQ.shtml","type":"manual/automated","notes":"Database curator at:array@princeton.edu."},"support_links":[{"url":"array@princeton.edu","type":"Support email"},{"url":"https://puma.princeton.edu/help/FAQ.shtml","type":"Frequently Asked Questions (FAQs)"},{"url":"https://puma.princeton.edu/help/index.shtml","name":"Online help documentation","type":"Help documentation"},{"url":"https://puma.princeton.edu/help/searches_subpage.shtml","name":"How to search","type":"Help documentation"},{"url":"https://puma.princeton.edu/help/analysis_subpage.shtml","name":"Data Analysis Help Topics","type":"Help documentation"},{"url":"https://puma.princeton.edu/help/tutorials_subpage.shtml","type":"Training documentation"},{"url":"https://puma.princeton.edu/help/glossary.shtml","name":"Glossary Terms","type":"Help documentation"}],"year_creation":2001,"data_versioning":"not found","associated_tools":[{"url":"https://puma.princeton.edu/help/tools.shtml","name":"PUMAdb Tools"}],"data_access_condition":{"url":"https://puma.princeton.edu/help/Account_Access.shtml","type":"partially open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://puma.princeton.edu/help/enter_expts.shtml","type":"controlled","notes":"Data entry requirements are provided."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001289","bsg-d001289"],"name":"FAIRsharing record for: Princeton University MicroArray database","abbreviation":"PUMAdb","url":"https://fairsharing.org/10.25504/FAIRsharing.22e3be","doi":"10.25504/FAIRsharing.22e3be","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Princeton University MicroArray database (PUMAdb) stores raw and normalized data from microarray experiments, as well as their corresponding image files. In addition, PUMAdb provides interfaces for data retrieval, analysis and visualization.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12845}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Expression data","Raw microarray data","Microarray experiment","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2082,"pubmed_id":15608265,"title":"The Stanford Microarray Database accommodates additional microarray platforms and data formats.","year":2004,"url":"http://doi.org/10.1093/nar/gki006","authors":"Ball CA,Awad IA,Demeter J,Gollub J,Hebert JM,Hernandez-Boussard T,Jin H,Matese JC,Nitzberg M,Wymore F,Zachariah ZK,Brown PO,Sherlock G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki006","created_at":"2021-09-30T08:26:14.756Z","updated_at":"2021-09-30T11:29:28.079Z"},{"id":2088,"pubmed_id":12519956,"title":"The Stanford Microarray Database: data access and quality assessment tools.","year":2003,"url":"http://doi.org/10.1093/nar/gkg078","authors":"Gollub J,Ball CA,Binkley G,Demeter J,Finkelstein DB,Hebert JM,Hernandez-Boussard T,Jin H,Kaloper M,Matese JC,Schroeder M,Brown PO,Botstein D,Sherlock G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg078","created_at":"2021-09-30T08:26:15.364Z","updated_at":"2021-09-30T11:29:28.853Z"},{"id":2359,"pubmed_id":11125075,"title":"The Stanford Microarray Database.","year":2000,"url":"http://doi.org/10.1093/nar/29.1.152","authors":"Sherlock G,Hernandez-Boussard T,Kasarskis A,Binkley G,Matese JC,Dwight SS,Kaloper M,Weng S,Jin H,Ball CA,Eisen MB,Spellman PT,Brown PO,Botstein D,Cherry JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/29.1.152","created_at":"2021-09-30T08:26:50.008Z","updated_at":"2021-09-30T11:29:34.111Z"}],"licence_links":[{"licence_name":"PUMAdb Privacy Policy","licence_id":690,"licence_url":"https://puma.princeton.edu/privacy.shtml","link_id":1781,"relation":"undefined"}],"grants":[{"id":3475,"fairsharing_record_id":2790,"organisation_id":2357,"relation":"maintains","created_at":"2021-09-30T09:26:17.588Z","updated_at":"2021-09-30T09:26:17.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":2357,"name":"Princeton University, NJ, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3476,"fairsharing_record_id":2790,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:17.612Z","updated_at":"2021-09-30T09:31:37.060Z","grant_id":1250,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1R01 HG002732","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8324,"fairsharing_record_id":2790,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:05.250Z","updated_at":"2021-09-30T09:32:05.292Z","grant_id":1462,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5R01 CA77097","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2791","type":"fairsharing_records","attributes":{"created_at":"2019-07-10T09:48:08.000Z","updated_at":"2023-06-23T09:38:48.200Z","metadata":{"doi":"10.25504/FAIRsharing.S6nB7s","name":"Genome-wide Integrated Analysis of gene Networks in Tissues 2.0","status":"ready","contacts":[{"contact_name":"Olga G Troyanskaya","contact_email":"ogt@genomics.princeton.edu"}],"homepage":"http://giant-v2.princeton.edu/","citations":[{"doi":"10.1093/nar/gky408","pubmed_id":29800226,"publication_id":371}],"identifier":2791,"description":"GIANT2 (Genome-wide Integrated Analysis of gene Networks in Tissues) is an interactive web server that enables biomedical researchers to analyze their proteins and pathways of interest and generate hypotheses in the context of genome-scale functional maps of human tissues. With GIANT2, researchers can explore predicted tissue-specific functional roles of genes and reveal changes in those roles across tissues, all through interactive multi-network visualizations and analyses.","abbreviation":"GIANT 2.0","data_curation":{"url":"https://doi.org/10.1093/nar/gky408","type":"automated"},"support_links":[{"url":"http://giant-v2.princeton.edu/tutorial/","name":"Tutorials","type":"Help documentation"},{"url":"http://giant-v2.princeton.edu/about/","name":"About GIANT 2.0","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"http://giant-v2.princeton.edu/gwas/create_new","name":"NetWAS Analysis"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled","notes":"Data retrieved directly from various primary sources"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001290","bsg-d001290"],"name":"FAIRsharing record for: Genome-wide Integrated Analysis of gene Networks in Tissues 2.0","abbreviation":"GIANT 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.S6nB7s","doi":"10.25504/FAIRsharing.S6nB7s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GIANT2 (Genome-wide Integrated Analysis of gene Networks in Tissues) is an interactive web server that enables biomedical researchers to analyze their proteins and pathways of interest and generate hypotheses in the context of genome-scale functional maps of human tissues. With GIANT2, researchers can explore predicted tissue-specific functional roles of genes and reveal changes in those roles across tissues, all through interactive multi-network visualizations and analyses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12846}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Bioinformatics","Life Science","Data Visualization"],"domains":["Function analysis","Network model","Genome-wide association study","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":371,"pubmed_id":29800226,"title":"GIANT 2.0: genome-scale integrated analysis of gene networks in tissues.","year":2018,"url":"http://doi.org/10.1093/nar/gky408","authors":"Wong AK,Krishnan A,Troyanskaya OG","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky408","created_at":"2021-09-30T08:22:59.856Z","updated_at":"2021-09-30T11:28:45.983Z"}],"licence_links":[],"grants":[{"id":3479,"fairsharing_record_id":2791,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.686Z","updated_at":"2021-09-30T09:29:44.538Z","grant_id":381,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI- 0546275","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3477,"fairsharing_record_id":2791,"organisation_id":358,"relation":"funds","created_at":"2021-09-30T09:26:17.636Z","updated_at":"2021-09-30T09:26:17.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":358,"name":"Canadian Institute for Advanced Research (CIFAR), Canada","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3478,"fairsharing_record_id":2791,"organisation_id":2876,"relation":"maintains","created_at":"2021-09-30T09:26:17.662Z","updated_at":"2021-09-30T09:26:17.662Z","grant_id":null,"is_lead":true,"saved_state":{"id":2876,"name":"Troyanskaya Laboratory (Laboratory for Bioinformatics and Functional Genomics), Princeton University, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3480,"fairsharing_record_id":2791,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:17.720Z","updated_at":"2021-09-30T09:32:29.697Z","grant_id":1645,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01 GM071966","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2800","type":"fairsharing_records","attributes":{"created_at":"2019-07-18T22:38:39.000Z","updated_at":"2023-06-23T10:42:59.825Z","metadata":{"doi":"10.25504/FAIRsharing.c44966","name":"Aster Volcanic Archive","status":"ready","contacts":[{"contact_name":"Justin P Linick","contact_email":"Justin.P.Linick@jpl.nasa.gov"}],"homepage":"https://ava.jpl.nasa.gov","citations":[],"identifier":2800,"description":"AVA is a large depository of volcanic data. For 1,549 recently active volcanos listed by the Smithsonian Global Volcanism Program, the AVA has collected the entirety of high-resolution multispectral ASTER data and made it available to the public. Also included are digital elevation maps, NOAA ash advisories, alteration zone imagery, and thermal anomaly reports. LANDSAT7 data are also being processed.","abbreviation":"AVA","data_curation":{"type":"not found"},"support_links":[{"url":"https://ava.jpl.nasa.gov/pages/about/about.html","name":"About","type":"Other"},{"url":"https://twitter.com/NASAJPL","name":"@NASAJPL","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011793","name":"re3data:r3d100011793","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ava.jpl.nasa.gov/pages/about/about.html","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001299","bsg-d001299"],"name":"FAIRsharing record for: Aster Volcanic Archive","abbreviation":"AVA","url":"https://fairsharing.org/10.25504/FAIRsharing.c44966","doi":"10.25504/FAIRsharing.c44966","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AVA is a large depository of volcanic data. For 1,549 recently active volcanos listed by the Smithsonian Global Volcanism Program, the AVA has collected the entirety of high-resolution multispectral ASTER data and made it available to the public. Also included are digital elevation maps, NOAA ash advisories, alteration zone imagery, and thermal anomaly reports. LANDSAT7 data are also being processed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["Costa Rica","Italy","Mexico","Singapore","United States"],"publications":[],"licence_links":[],"grants":[{"id":3495,"fairsharing_record_id":2800,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:26:18.096Z","updated_at":"2021-09-30T09:26:18.096Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3496,"fairsharing_record_id":2800,"organisation_id":1599,"relation":"maintains","created_at":"2021-09-30T09:26:18.120Z","updated_at":"2021-09-30T09:26:18.120Z","grant_id":null,"is_lead":true,"saved_state":{"id":1599,"name":"Jet Propulsion Laboratory, California Institute of Technology, NASA, Pasadena, CA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2801","type":"fairsharing_records","attributes":{"created_at":"2019-07-19T20:03:12.000Z","updated_at":"2023-12-15T10:32:52.338Z","metadata":{"doi":"10.25504/FAIRsharing.140c57","name":"NOAA's Atlantic Oceanographic and Meterological Laboratory Data","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"aoml.communications@noaa.gov"}],"homepage":"https://www.aoml.noaa.gov/data-products/","citations":[],"identifier":2801,"description":"AOML data on the climate, environment and meteorological patterns and changes.","abbreviation":"AOML Data","data_curation":{"type":"none"},"support_links":[{"url":"https://twitter.com/NOAA_AMOL","name":"Twitter","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010773","name":"re3data:r3d100010773","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001300","bsg-d001300"],"name":"FAIRsharing record for: NOAA's Atlantic Oceanographic and Meterological Laboratory Data","abbreviation":"AOML Data","url":"https://fairsharing.org/10.25504/FAIRsharing.140c57","doi":"10.25504/FAIRsharing.140c57","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AOML data on the climate, environment and meteorological patterns and changes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Earth Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NOAA Disclaimer","licence_id":595,"licence_url":"https://www.noaa.gov/disclaimer","link_id":1786,"relation":"undefined"},{"licence_name":"NOAA Privacy","licence_id":596,"licence_url":"https://www.noaa.gov/protecting-your-privacy","link_id":1785,"relation":"undefined"}],"grants":[{"id":3497,"fairsharing_record_id":2801,"organisation_id":3164,"relation":"funds","created_at":"2021-09-30T09:26:18.146Z","updated_at":"2021-09-30T09:26:18.146Z","grant_id":null,"is_lead":false,"saved_state":{"id":3164,"name":"US Department of Commerce","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3498,"fairsharing_record_id":2801,"organisation_id":2056,"relation":"maintains","created_at":"2021-09-30T09:26:18.170Z","updated_at":"2021-09-30T09:26:18.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":2056,"name":"National Oceanic and Atmospheric Administration (NOAA), MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2802","type":"fairsharing_records","attributes":{"created_at":"2019-07-21T21:07:28.000Z","updated_at":"2023-12-15T10:32:30.018Z","metadata":{"doi":"10.25504/FAIRsharing.SvsBRM","name":"Let's Get Healthy! STEM Beliefs","status":"ready","contacts":[{"contact_name":"Lisa Marriott","contact_email":"marriott@ohsu.edu","contact_orcid":"0000-0001-6390-3053"}],"homepage":"http://letsgethealthy.org","citations":[{"doi":"10.1371/journal.pone.0201939","pubmed_id":31454349,"publication_id":2527}],"identifier":2802,"description":"Let's Get Healthy! is a NIH-funded program that conducts health fairs. Students' beliefs about their STEM abilities in the context of impulsivity and mindset are described in a three state sample of secondary students across Oregon, Washington, and California.","abbreviation":"LGH STEM","data_curation":{"type":"none"},"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://www.letsgethealthy.org/explore-the-data/data-from-publications/","name":"Statistical modeling documentation 1"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001301","bsg-d001301"],"name":"FAIRsharing record for: Let's Get Healthy! STEM Beliefs","abbreviation":"LGH STEM","url":"https://fairsharing.org/10.25504/FAIRsharing.SvsBRM","doi":"10.25504/FAIRsharing.SvsBRM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Let's Get Healthy! is a NIH-funded program that conducts health fairs. Students' beliefs about their STEM abilities in the context of impulsivity and mindset are described in a three state sample of secondary students across Oregon, Washington, and California.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Nutritional Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Education","Impulsivity","Mindset"],"countries":["United States"],"publications":[{"id":2527,"pubmed_id":31454349,"title":"Opposing effects of impulsivity and mindset on sources of science self-efficacy and STEM interest in adolescents","year":1975,"url":"https://www.ncbi.nlm.nih.gov/pubmed/31454349","authors":"Lisa K. Marriott, Leigh A. Coppola, Suzanne H. Mitchell, Jana L. Bouwma-Gearhart, Zunqiu Chen, Dara Shifrer, Alicia B. Feryn, and Jackilen Shannon","journal":"PLOS One","doi":"10.1371/journal.pone.0201939","created_at":"2021-09-30T08:27:10.019Z","updated_at":"2021-09-30T08:27:10.019Z"},{"id":2782,"pubmed_id":31454349,"title":"Opposing effects of impulsivity and mindset on sources of science selfefficacy and STEM interest in adolescents","year":2018,"url":"https://www.biorxiv.org/content/10.1101/377994v1","authors":"Lisa K. Marriott, Leigh A. Coppola, Suzanne H. Mitchell, Jana L. Bouwma-Gearhart, Zunqiu Chen, Dara Shifrer, and Jackilen Shannon","journal":"BioRxiv","doi":null,"created_at":"2021-09-30T08:27:41.996Z","updated_at":"2021-09-30T11:28:36.487Z"}],"licence_links":[],"grants":[{"id":3500,"fairsharing_record_id":2802,"organisation_id":2270,"relation":"maintains","created_at":"2021-09-30T09:26:18.220Z","updated_at":"2021-09-30T09:26:18.220Z","grant_id":null,"is_lead":true,"saved_state":{"id":2270,"name":"Oregon Health \u0026 Science University (OHSU), USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3499,"fairsharing_record_id":2802,"organisation_id":2231,"relation":"funds","created_at":"2021-09-30T09:26:18.197Z","updated_at":"2021-09-30T09:31:43.278Z","grant_id":1297,"is_lead":false,"saved_state":{"id":2231,"name":"Office of The Director, National Institutes of Health, USA","grant":"R25OD010496","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2803","type":"fairsharing_records","attributes":{"created_at":"2019-08-19T14:55:27.000Z","updated_at":"2023-12-15T10:28:37.040Z","metadata":{"doi":"10.25504/FAIRsharing.88ea35","name":"Natural History Museum Data Portal","status":"ready","contacts":[{"contact_name":"Ben Scott","contact_email":"b.scott@nhm.ac.uk","contact_orcid":"0000-0002-5590-7174"}],"homepage":"https://data.nhm.ac.uk/","citations":[],"identifier":2803,"description":"The British natural history collection is one of the most important in the world, documenting 4.5 billion years of life, the Earth and the solar system. Almost all animal, plant, mineral and fossil groups are represented. The portal's main dataset consists of specimens from the Museum's collection database, with over 4 million records from the Museum’s Palaeontology, Mineralogy, Botany, Entomology and Zoology collections.","abbreviation":"NHM Data Portal","data_curation":{"type":"not found"},"support_links":[{"url":"https://data.nhm.ac.uk/contact","name":"Contact form","type":"Contact form"},{"url":"data@nhm.ac.uk","name":"Data Portal contact","type":"Support email"},{"url":"https://github.com/NaturalHistoryMuseum/ckanext-nhm","name":"Github of source code","type":"Github"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011675","name":"re3data:r3d100011675","portal":"re3data"}],"data_access_condition":{"url":"https://fairsharing.org/2803","type":"open","notes":"The Museum is committed to open access and open science"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001302","bsg-d001302"],"name":"FAIRsharing record for: Natural History Museum Data Portal","abbreviation":"NHM Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.88ea35","doi":"10.25504/FAIRsharing.88ea35","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The British natural history collection is one of the most important in the world, documenting 4.5 billion years of life, the Earth and the solar system. Almost all animal, plant, mineral and fossil groups are represented. The portal's main dataset consists of specimens from the Museum's collection database, with over 4 million records from the Museum’s Palaeontology, Mineralogy, Botany, Entomology and Zoology collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Geochemistry","Zoology","Paleontology","Entomology","Life Science","Natural History"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2720,"pubmed_id":30985890,"title":"The Natural History Museum Data Portal.","year":2019,"url":"http://doi.org/baz038","authors":"Scott B,Baker E,Woodburn M,Vincent S,Hardy H,Smith VS","journal":"Database (Oxford)","doi":"baz038","created_at":"2021-09-30T08:27:34.062Z","updated_at":"2021-09-30T08:27:34.062Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1787,"relation":"undefined"},{"licence_name":"Natural History Museum Data Portal Terms and conditions","licence_id":551,"licence_url":"https://data.nhm.ac.uk/terms-conditions","link_id":1789,"relation":"undefined"},{"licence_name":"Natural History Museum Privacy notice","licence_id":552,"licence_url":"https://www.nhm.ac.uk/about-us/privacy-notice.html","link_id":1788,"relation":"undefined"}],"grants":[{"id":3501,"fairsharing_record_id":2803,"organisation_id":2093,"relation":"maintains","created_at":"2021-09-30T09:26:18.246Z","updated_at":"2021-09-30T09:26:18.246Z","grant_id":null,"is_lead":true,"saved_state":{"id":2093,"name":"Natural History Museum, London, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2tCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d8419f54732f8b1ec1fb2f9e78d8fda84ede0b4b/nhm.png?disposition=inline","exhaustive_licences":false}},{"id":"2804","type":"fairsharing_records","attributes":{"created_at":"2019-07-22T19:00:22.000Z","updated_at":"2023-12-15T10:32:13.530Z","metadata":{"doi":"10.25504/FAIRsharing.ea287c","name":"Canadian Disaster Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ps.cdd-bdc.sp@ps-sp.gc.ca"}],"homepage":"https://www.publicsafety.gc.ca/cnt/rsrcs/cndn-dsstr-dtbs/index-en.aspx","citations":[],"identifier":2804,"description":"The Canadian Disaster Database (CDD) contains detailed disaster information on more than 1000 natural, technological and conflict events (excluding war) that have happened since 1900 at home or abroad and that have directly affected Canadians. The database describes where and when a disaster occurred, the number of injuries, evacuations, and fatalities, as well as a rough estimate of the costs. As much as possible, the CDD contains primary data that is valid, current and supported by reliable and traceable sources, including federal institutions, provincial/territorial governments, non-governmental organizations and media sources. Data is updated and reviewed on a semi-annual basis.","abbreviation":"CDD","data_curation":{"type":"none"},"year_creation":2003,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012041","name":"re3data:r3d100012041","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001303","bsg-d001303"],"name":"FAIRsharing record for: Canadian Disaster Database","abbreviation":"CDD","url":"https://fairsharing.org/10.25504/FAIRsharing.ea287c","doi":"10.25504/FAIRsharing.ea287c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Canadian Disaster Database (CDD) contains detailed disaster information on more than 1000 natural, technological and conflict events (excluding war) that have happened since 1900 at home or abroad and that have directly affected Canadians. The database describes where and when a disaster occurred, the number of injuries, evacuations, and fatalities, as well as a rough estimate of the costs. As much as possible, the CDD contains primary data that is valid, current and supported by reliable and traceable sources, including federal institutions, provincial/territorial governments, non-governmental organizations and media sources. Data is updated and reviewed on a semi-annual basis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Earth Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[],"licence_links":[],"grants":[{"id":3502,"fairsharing_record_id":2804,"organisation_id":1191,"relation":"funds","created_at":"2021-09-30T09:26:18.270Z","updated_at":"2021-09-30T09:26:18.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":1191,"name":"Government of Canada","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2808","type":"fairsharing_records","attributes":{"created_at":"2019-07-29T21:54:01.000Z","updated_at":"2024-03-25T16:30:48.064Z","metadata":{"doi":"10.25504/FAIRsharing.bece4c","name":"MISTRALS","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"mistrals-database@sedoo.fr"}],"homepage":"https://mistrals.sedoo.fr/","citations":[],"identifier":2808,"description":"PLEASE NOTE: This resource is currently undergoing an upgrade and may not be available. Their site reads: \"A major computer malfunction on December 12, 2023 has forced us to accelerate the implementation of the new MISTRALS portal.\nWe are actively working to restore access to the data. However, PI or data user, you can now ask us any questions you may have via the contact form.\" Description: The MISTRALS database is a collection of information from satellite, geological and modelling data derived from a number of different data sources both within and without the MISTRALS community. The MISTRALS initiative has 6 programmes - BioDivMex, ChArMEx, HyMex, MERMex, PaleoMex, and SICMED. Registration is required.\n","abbreviation":"MISTRALS","data_curation":{"type":"not found"},"support_links":[{"url":"charmex-database@sedoo.fr","name":"ChArMEx Contact","type":"Support email"},{"url":"databasecontact@hymex.org","name":"HyMeX Contact","type":"Support email"}],"year_creation":2010,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011673","name":"re3data:r3d100011673","portal":"re3data"}],"data_access_condition":{"type":"open","notes":"Registration required"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001307","bsg-d001307"],"name":"FAIRsharing record for: MISTRALS","abbreviation":"MISTRALS","url":"https://fairsharing.org/10.25504/FAIRsharing.bece4c","doi":"10.25504/FAIRsharing.bece4c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PLEASE NOTE: This resource is currently undergoing an upgrade and may not be available. Their site reads: \"A major computer malfunction on December 12, 2023 has forced us to accelerate the implementation of the new MISTRALS portal.\nWe are actively working to restore access to the data. However, PI or data user, you can now ask us any questions you may have via the contact form.\" Description: The MISTRALS database is a collection of information from satellite, geological and modelling data derived from a number of different data sources both within and without the MISTRALS community. The MISTRALS initiative has 6 programmes - BioDivMex, ChArMEx, HyMex, MERMex, PaleoMex, and SICMED. Registration is required.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Geophysics","Biodiversity","Earth Science","Bathymetry","Atmospheric Science","Remote Sensing","Oceanography"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Bathymetry","Cryosphere"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":3507,"fairsharing_record_id":2808,"organisation_id":1305,"relation":"maintains","created_at":"2021-09-30T09:26:18.396Z","updated_at":"2021-09-30T09:26:18.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":1305,"name":"ICARE Data and Service Centre","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3508,"fairsharing_record_id":2808,"organisation_id":1455,"relation":"maintains","created_at":"2021-09-30T09:26:18.420Z","updated_at":"2021-09-30T09:26:18.420Z","grant_id":null,"is_lead":false,"saved_state":{"id":1455,"name":"Institut Pierre Simon Laplace (IPSL) France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3509,"fairsharing_record_id":2808,"organisation_id":2216,"relation":"maintains","created_at":"2021-09-30T09:26:18.447Z","updated_at":"2021-09-30T09:26:18.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":2216,"name":"Observatoire Midi-Pyrenees, OMP, France","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2810","type":"fairsharing_records","attributes":{"created_at":"2019-07-30T19:32:48.000Z","updated_at":"2022-07-20T11:40:18.672Z","metadata":{"name":"Chinese National Arctic and Antarctic Data Center","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"nadc@pric.org.cn"}],"homepage":"https://www.chinare.org.cn/en/","citations":[],"identifier":2810,"description":"The Chinese National Artic and Antarctic Data centre collects, analyses and preserves datasets from the polar environment.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.chinare.org.cn/en/news","name":"News","type":"Blog/News"},{"url":"https://www.chinare.org.cn/en/help/using-help","name":"Help and FAQ","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011380","name":"re3data:r3d100011380","portal":"re3data"}],"deprecation_date":"2022-03-02","deprecation_reason":"The english site is currently unavailable. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001309","bsg-d001309"],"name":"FAIRsharing record for: Chinese National Arctic and Antarctic Data Center","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/2810","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chinese National Artic and Antarctic Data centre collects, analyses and preserves datasets from the polar environment.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Atmospheric Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Antarctic","Arctic"],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":3511,"fairsharing_record_id":2810,"organisation_id":2340,"relation":"maintains","created_at":"2021-09-30T09:26:18.529Z","updated_at":"2021-09-30T09:26:18.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":2340,"name":"Polar Research Institute of China (PRIC)","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2811","type":"fairsharing_records","attributes":{"created_at":"2019-07-30T20:32:14.000Z","updated_at":"2023-06-23T11:35:21.556Z","metadata":{"doi":"10.25504/FAIRsharing.50d4cd","name":"Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations","status":"ready","contacts":[{"contact_name":"David M Winker","contact_email":"David.M.Winker@nasa.gov","contact_orcid":"0000-0002-3919-2244"}],"homepage":"https://www-calipso.larc.nasa.gov","identifier":2811,"description":"A joint effort between the US and France to collect particulate information (aerosol data) on the atmosphere and their influence on the environment and climate. This information is gathered by the CALIPSO satellite launched in 2006.","abbreviation":"CALIPSO","data_curation":{"type":"not found"},"support_links":[{"url":"https://www-calipso.larc.nasa.gov/resources/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","name":"CALIPSO Data Users Guide","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","associated_tools":[{"url":"https://www-calipso.larc.nasa.gov/tools/read_sw/index.php","name":"IDL Read Package Version 4.90v1"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012490","name":"re3data:r3d100012490","portal":"re3data"}],"data_access_condition":{"url":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/order_data.php","type":"partially open","notes":"Data can be accessed or ordered through different tools."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001310","bsg-d001310"],"name":"FAIRsharing record for: Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations","abbreviation":"CALIPSO","url":"https://fairsharing.org/10.25504/FAIRsharing.50d4cd","doi":"10.25504/FAIRsharing.50d4cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A joint effort between the US and France to collect particulate information (aerosol data) on the atmosphere and their influence on the environment and climate. This information is gathered by the CALIPSO satellite launched in 2006.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geology","Earth Science","Atmospheric Science"],"domains":["Environmental contaminant","Environmental material","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment"],"countries":["France","United States"],"publications":[{"id":2733,"pubmed_id":31662738,"title":"CALIPSO (IIR-CALIOP) Retrievals of Cirrus Cloud Ice Particle Concentrations.","year":2018,"url":"http://doi.org/10.5194/acp-18-17325-2018","authors":"Mitchell DL,Garnier A,Pelon J,Erfani E","journal":"Atmos Chem Phys","doi":"10.5194/acp-18-17325-2018","created_at":"2021-09-30T08:27:35.622Z","updated_at":"2021-09-30T08:27:35.622Z"},{"id":2734,"pubmed_id":31921372,"title":"The CALIPSO Version 4 Automated Aerosol Classification and Lidar Ratio Selection Algorithm.","year":2018,"url":"http://doi.org/10.5194/amt-11-6107-2018","authors":"Kim MH,Omar AH,Tackett JL,Vaughan MA,Winker DM,Trepte CR,Hu Y,Liu Z,Poole LR,Pitts MC,Kar J,Magill BE","journal":"Atmos Meas Tech","doi":"10.5194/amt-11-6107-2018","created_at":"2021-09-30T08:27:35.730Z","updated_at":"2021-09-30T08:27:35.730Z"},{"id":2735,"pubmed_id":31832108,"title":"CALIPSO IIR Version 2 Level 1b calibrated radiances: analysis and reduction of residual biases in the Northern Hemisphere.","year":2018,"url":"http://doi.org/10.5194/amt-11-2485-2018","authors":"Garnier A,Tremas T,Pelon J,Lee KP,Nobileau D,Gross-Colzy L,Pascal N,Ferrage P,Scott NA","journal":"Atmos Meas Tech","doi":"10.5194/amt-11-2485-2018","created_at":"2021-09-30T08:27:35.839Z","updated_at":"2021-09-30T08:27:35.839Z"}],"licence_links":[{"licence_name":"NASA Freedom of Information Act (FOIA)","licence_id":534,"licence_url":"https://www.nasa.gov/FOIA/index.html","link_id":1791,"relation":"undefined"},{"licence_name":"NASA No Fear Act","licence_id":537,"licence_url":"https://www.nasa.gov/offices/odeo/no-fear-act","link_id":1792,"relation":"undefined"},{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":1790,"relation":"undefined"}],"grants":[{"id":3513,"fairsharing_record_id":2811,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:26:18.618Z","updated_at":"2021-09-30T09:26:18.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3512,"fairsharing_record_id":2811,"organisation_id":475,"relation":"maintains","created_at":"2021-09-30T09:26:18.577Z","updated_at":"2021-09-30T09:26:18.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":475,"name":"Centre National d'Etudes Spatiales (CNES), Paris, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3514,"fairsharing_record_id":2811,"organisation_id":1455,"relation":"maintains","created_at":"2021-09-30T09:26:18.657Z","updated_at":"2021-09-30T09:26:18.657Z","grant_id":null,"is_lead":false,"saved_state":{"id":1455,"name":"Institut Pierre Simon Laplace (IPSL) France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2783","type":"fairsharing_records","attributes":{"created_at":"2019-05-29T17:01:36.000Z","updated_at":"2024-05-31T11:18:12.960Z","metadata":{"doi":"10.25504/FAIRsharing.nYaZ1N","name":"nmrshiftdb2","status":"ready","contacts":[{"contact_name":"Stefan Kuhn","contact_email":"stefan.kuhn@dmu.ac.uk","contact_orcid":"0000-0002-5990-4157"}],"homepage":"https://nmrshiftdb.nmr.uni-koeln.de/","citations":[{"doi":"10.1002/mrc.5418","pubmed_id":null,"publication_id":4283}],"identifier":2783,"description":"nmrshiftdb2 is an NMR database for organic structures and their nuclear magnetic resonance (NMR) spectra. It allows for spectrum prediction (13C, 1H and other nuclei) as well as for searching spectra, structures and other properties. It also features peer-reviewed submission of datasets by its users. The nmrshiftdb2 software is open source, the data is published under an open content license.","abbreviation":"nmrshiftdb2","data_curation":{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Help;jsessionid=20E1A6CFE523B177D24FEB6C0FA76344","type":"manual"},"support_links":[{"url":"nmrshiftdb2-admin@uni-koeln.de","name":"nmrshiftdb2 support","type":"Support email"},{"url":"https://nmrshiftdb.nmr.uni-koeln.de/portal/media-type/html/user/anon/page/default.psml/template/ShowWebpage","name":"nmrshiftdb2 FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Help","name":"Help Pages","type":"Help documentation"},{"url":"http://sourceforge.net/p/nmrshiftdb2/wiki/Main_Page/","name":"nmrshiftdb2 Wiki","type":"Help documentation"}],"year_creation":2003,"data_versioning":"yes","associated_tools":[{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Quickcheck","name":"Quick Check"},{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Predict","name":"Predict an NMR Spectrum"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010316","name":"re3data:r3d100010316","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdb/media-type/html/user/anon/page/default.psml/js_pane/P-Submit;jsessionid=20E1A6CFE523B177D24FEB6C0FA76344","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001282","bsg-d001282"],"name":"FAIRsharing record for: nmrshiftdb2","abbreviation":"nmrshiftdb2","url":"https://fairsharing.org/10.25504/FAIRsharing.nYaZ1N","doi":"10.25504/FAIRsharing.nYaZ1N","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: nmrshiftdb2 is an NMR database for organic structures and their nuclear magnetic resonance (NMR) spectra. It allows for spectrum prediction (13C, 1H and other nuclei) as well as for searching spectra, structures and other properties. It also features peer-reviewed submission of datasets by its users. The nmrshiftdb2 software is open source, the data is published under an open content license.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Analytical Chemistry"],"domains":["Nuclear Magnetic Resonance (NMR) spectroscopy","Small molecule"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","United Kingdom"],"publications":[{"id":1674,"pubmed_id":14632418,"title":"NMRShiftDB-constructing a free chemical information system with open-source components.","year":2003,"url":"http://doi.org/10.1021/ci0341363","authors":"Steinbeck C,Krause S,Kuhn S","journal":"J Chem Inf Comput Sci","doi":"10.1021/ci0341363","created_at":"2021-09-30T08:25:27.546Z","updated_at":"2021-09-30T08:25:27.546Z"},{"id":2187,"pubmed_id":25998807,"title":"Facilitating quality control for spectra assignments of small organic molecules: nmrshiftdb2--a free in-house NMR database with integrated LIMS for academic service laboratories.","year":2015,"url":"http://doi.org/10.1002/mrc.4263","authors":"Kuhn S,Schlorer NE","journal":"Magn Reson Chem","doi":"10.1002/mrc.4263","created_at":"2021-09-30T08:26:26.573Z","updated_at":"2021-09-30T08:26:26.573Z"},{"id":2319,"pubmed_id":15464159,"title":"NMRShiftDB -- compound identification and structure elucidation support through a free community-built web database.","year":2004,"url":"http://doi.org/10.1016/j.phytochem.2004.08.027","authors":"Steinbeck C,Kuhn S","journal":"Phytochemistry","doi":"10.1016/j.phytochem.2004.08.027","created_at":"2021-09-30T08:26:44.558Z","updated_at":"2021-09-30T08:26:44.558Z"},{"id":4283,"pubmed_id":null,"title":"Twenty years of nmrshiftdb2: A case study of an open database for analytical chemistry","year":2023,"url":"http://dx.doi.org/10.1002/mrc.5418","authors":"Kuhn, Stefan; Kolshorn, Heinz; Steinbeck, Christoph; Schlörer, Nils; ","journal":"Magnetic Reson in Chemistry","doi":"10.1002/mrc.5418","created_at":"2024-05-29T13:29:25.157Z","updated_at":"2024-05-29T13:29:25.157Z"}],"licence_links":[{"licence_name":"nmrshiftdb2 data license","licence_id":594,"licence_url":"https://nmrshiftdb.nmr.uni-koeln.de/nmrshiftdbhtml/nmrshiftdb2datalicense.txt","link_id":480,"relation":"undefined"}],"grants":[{"id":3453,"fairsharing_record_id":2783,"organisation_id":3043,"relation":"maintains","created_at":"2021-09-30T09:26:16.990Z","updated_at":"2021-09-30T09:26:16.990Z","grant_id":null,"is_lead":true,"saved_state":{"id":3043,"name":"University of Cologne, Germany","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3454,"fairsharing_record_id":2783,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:17.022Z","updated_at":"2021-09-30T09:29:48.837Z","grant_id":416,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"LI 2858/11","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2784","type":"fairsharing_records","attributes":{"created_at":"2019-06-15T15:35:14.000Z","updated_at":"2024-03-27T22:25:59.237Z","metadata":{"doi":"10.25504/FAIRsharing.7CVoS6","name":"SynBioHub","status":"ready","contacts":[{"contact_name":"Chris Myers","contact_email":"myers@ece.utah.edu","contact_orcid":"0000-0002-8762-8444"}],"homepage":"https://synbiohub.org","citations":[{"doi":"10.1021/acssynbio.7b00403","pubmed_id":29316788,"publication_id":1184}],"identifier":2784,"description":"SynBioHub is a design repository for people designing biological constructs. It enables DNA and protein designs to be uploaded, then provides a shareable link to allow others to view them. SynBioHub also facilitates searching for information about existing useful parts and designs by combining data from a variety of sources.","abbreviation":"SBH","data_curation":{"type":"not found"},"support_links":[{"url":"https://groups.google.com/forum/#!forum/synbiohub-users","name":"SynBioHub Users Forum","type":"Forum"},{"url":"https://wiki.synbiohub.org/aboutsynbiohub/","name":"About SynBioHub","type":"Help documentation"},{"url":"https://wiki.synbiohub.org/","name":"Wiki Pages","type":"Help documentation"},{"url":"https://github.com/SynBioHub/synbiohub","name":"GitHub repository","type":"Github"}],"year_creation":2017,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://synbiohub.org/login?next=%2Fsubmit","type":"open","notes":"Free account required to submit data."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001283","bsg-d001283"],"name":"FAIRsharing record for: SynBioHub","abbreviation":"SBH","url":"https://fairsharing.org/10.25504/FAIRsharing.7CVoS6","doi":"10.25504/FAIRsharing.7CVoS6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SynBioHub is a design repository for people designing biological constructs. It enables DNA and protein designs to be uploaded, then provides a shareable link to allow others to view them. SynBioHub also facilitates searching for information about existing useful parts and designs by combining data from a variety of sources.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11558},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12261}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioengineering","Synthetic Biology"],"domains":["Deoxyribonucleic acid","Protein"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom","United States"],"publications":[{"id":1184,"pubmed_id":29316788,"title":"SynBioHub: A Standards-Enabled Design Repository for Synthetic Biology.","year":2018,"url":"http://doi.org/10.1021/acssynbio.7b00403","authors":"McLaughlin JA,Myers CJ,Zundel Z,Misirli G,Zhang M,Ofiteru ID,Goni-Moreno A,Wipat A","journal":"ACS Synth Biol","doi":"10.1021/acssynbio.7b00403","created_at":"2021-09-30T08:24:31.616Z","updated_at":"2021-09-30T08:24:31.616Z"}],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":2414,"relation":"undefined"}],"grants":[{"id":3456,"fairsharing_record_id":2784,"organisation_id":3144,"relation":"maintains","created_at":"2021-09-30T09:26:17.088Z","updated_at":"2024-03-27T22:15:56.006Z","grant_id":null,"is_lead":true,"saved_state":{"id":3144,"name":"University of Utah, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3457,"fairsharing_record_id":2784,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:26:17.121Z","updated_at":"2021-09-30T09:26:17.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3458,"fairsharing_record_id":2784,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.145Z","updated_at":"2021-09-30T09:26:17.145Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3455,"fairsharing_record_id":2784,"organisation_id":2145,"relation":"maintains","created_at":"2021-09-30T09:26:17.055Z","updated_at":"2024-03-27T22:15:56.006Z","grant_id":null,"is_lead":true,"saved_state":{"id":2145,"name":"Newcastle University, Newcastle upon Tyne, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZnc9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4956b6d1f00326e1fdfc61f84b877a7cd316da7a/synbiohub.png?disposition=inline","exhaustive_licences":false}},{"id":"2785","type":"fairsharing_records","attributes":{"created_at":"2019-06-25T09:37:44.000Z","updated_at":"2023-12-15T10:30:11.869Z","metadata":{"doi":"10.25504/FAIRsharing.QrPuK3","name":"International Ocean Discovery Program Publications Registry","status":"ready","contacts":[{"contact_name":"Lorri Peters","contact_email":"information@iodp.tamu.edu","contact_orcid":"0000-0003-4951-0223"}],"homepage":"http://publications.iodp.org/","citations":[],"identifier":2785,"description":"IODP Publications stores the scientific report and publication series that summarizes the scientific and technical accomplishments of each IODP expedition. These publications are linked to IODP data repositories.","abbreviation":"IODP Publications","data_curation":{"url":"http://publications.iodp.org/policies.html#author","type":"manual"},"support_links":[{"url":"http://www.iodp.org/resources/about-publications","name":"About IODP Publications","type":"Help documentation"}],"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://publications.iodp.org/policies.html#author","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001284","bsg-d001284"],"name":"FAIRsharing record for: International Ocean Discovery Program Publications Registry","abbreviation":"IODP Publications","url":"https://fairsharing.org/10.25504/FAIRsharing.QrPuK3","doi":"10.25504/FAIRsharing.QrPuK3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: IODP Publications stores the scientific report and publication series that summarizes the scientific and technical accomplishments of each IODP expedition. These publications are linked to IODP data repositories.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Geophysics","Earth Science"],"domains":["Marine environment","Publication"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"IODP Publication Policies","licence_id":447,"licence_url":"http://publications.iodp.org/policies.html","link_id":127,"relation":"undefined"}],"grants":[{"id":3459,"fairsharing_record_id":2785,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:17.175Z","updated_at":"2021-09-30T09:26:17.175Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3460,"fairsharing_record_id":2785,"organisation_id":2733,"relation":"maintains","created_at":"2021-09-30T09:26:17.204Z","updated_at":"2021-09-30T09:26:17.204Z","grant_id":null,"is_lead":true,"saved_state":{"id":2733,"name":"Texas A\u0026M University, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3461,"fairsharing_record_id":2785,"organisation_id":1505,"relation":"funds","created_at":"2021-09-30T09:26:17.229Z","updated_at":"2021-09-30T09:26:17.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":1505,"name":"International Ocean Discovery Program (IODP), San Diego, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2786","type":"fairsharing_records","attributes":{"created_at":"2019-06-25T09:43:53.000Z","updated_at":"2023-06-23T16:12:28.742Z","metadata":{"doi":"10.25504/FAIRsharing.1jihTO","name":"International Ocean Discovery Program Janus Web Database","status":"ready","contacts":[{"contact_name":"Lorri Peters","contact_email":"information@iodp.tamu.edu","contact_orcid":"0000-0003-4951-0223"}],"homepage":"http://www-odp.tamu.edu/database/","identifier":2786,"description":"The Janus database contains data from DSDP, ODP, and Phase I of the Integrated Ocean Drilling Program. This includes data gathered between 1968 and 2008 as a result of Deep Sea Drilling Project (DSDP; 1968–1984) Legs 1–96, Ocean Drilling Program (ODP; 1985–2003) Legs 101–210, and IODP-I Expeditions 301–312.","abbreviation":"Janus","data_curation":{"url":"http://www-odp.tamu.edu/sciops/","type":"not found"},"year_creation":1968,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001285","bsg-d001285"],"name":"FAIRsharing record for: International Ocean Discovery Program Janus Web Database","abbreviation":"Janus","url":"https://fairsharing.org/10.25504/FAIRsharing.1jihTO","doi":"10.25504/FAIRsharing.1jihTO","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Janus database contains data from DSDP, ODP, and Phase I of the Integrated Ocean Drilling Program. This includes data gathered between 1968 and 2008 as a result of Deep Sea Drilling Project (DSDP; 1968–1984) Legs 1–96, Ocean Drilling Program (ODP; 1985–2003) Legs 101–210, and IODP-I Expeditions 301–312.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Geology","Geophysics","Earth Science"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3462,"fairsharing_record_id":2786,"organisation_id":2071,"relation":"maintains","created_at":"2021-09-30T09:26:17.253Z","updated_at":"2021-09-30T09:26:17.253Z","grant_id":null,"is_lead":true,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3463,"fairsharing_record_id":2786,"organisation_id":2733,"relation":"maintains","created_at":"2021-09-30T09:26:17.278Z","updated_at":"2021-09-30T09:26:17.278Z","grant_id":null,"is_lead":false,"saved_state":{"id":2733,"name":"Texas A\u0026M University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3464,"fairsharing_record_id":2786,"organisation_id":1505,"relation":"funds","created_at":"2021-09-30T09:26:17.304Z","updated_at":"2021-09-30T09:26:17.304Z","grant_id":null,"is_lead":false,"saved_state":{"id":1505,"name":"International Ocean Discovery Program (IODP), San Diego, CA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2787","type":"fairsharing_records","attributes":{"created_at":"2019-06-25T10:37:14.000Z","updated_at":"2021-11-24T13:16:40.154Z","metadata":{"doi":"10.25504/FAIRsharing.7HtoZI","name":"NERC Earth Observation Data Centre Data Archive","status":"deprecated","homepage":"https://catalogue.ceda.ac.uk/record/party/2/","identifier":2787,"description":"The NERC Earth Observation Data Centre Data Archive was the Natural Environment Research Council's (NERC) Designated Data Centre for Earth Observation. Together with the BADC it has been merged into the CEDA Archive.","abbreviation":"NEODC","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2019-06-25","deprecation_reason":"Since November 2016, the functions of the British Atmospheric Data Centre (BADC) and the NERC Earth Observation Data Centre (NEODC) data centres are operated by the CEDA Archive (http://www.ceda.ac.uk/data-centres/).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001286","bsg-d001286"],"name":"FAIRsharing record for: NERC Earth Observation Data Centre Data Archive","abbreviation":"NEODC","url":"https://fairsharing.org/10.25504/FAIRsharing.7HtoZI","doi":"10.25504/FAIRsharing.7HtoZI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NERC Earth Observation Data Centre Data Archive was the Natural Environment Research Council's (NERC) Designated Data Centre for Earth Observation. Together with the BADC it has been merged into the CEDA Archive.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":3465,"fairsharing_record_id":2787,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:26:17.329Z","updated_at":"2021-09-30T09:26:17.329Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3466,"fairsharing_record_id":2787,"organisation_id":2519,"relation":"maintains","created_at":"2021-09-30T09:26:17.353Z","updated_at":"2021-09-30T09:26:17.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2795","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T11:32:42.000Z","updated_at":"2023-12-15T10:32:00.282Z","metadata":{"doi":"10.25504/FAIRsharing.lFdTxB","name":"Disbiome","status":"ready","contacts":[{"contact_name":"Bart de Spiegeleer","contact_email":"bart.despiegeleer@UGent.be","contact_orcid":"0000-0001-6794-3108"}],"homepage":"https://disbiome.ugent.be","citations":[{"doi":"10.1186/s12866-018-1197-5","pubmed_id":29866037,"publication_id":2548}],"identifier":2795,"description":"Disbiome is a database covering microbial composition changes in different kinds of diseases. Disease names, detection methods or organism names can be used as search queries giving that return information related to the experiment (related disease/bacteria, abundancy subject/control, control type, detection method and related literature).","abbreviation":"Disbiome","data_curation":{"type":"manual"},"support_links":[{"url":"https://disbiome.ugent.be/news","name":"News","type":"Blog/News"},{"url":"https://disbiome.ugent.be/help","name":"Help Pages","type":"Help documentation"},{"url":"https://disbiome.ugent.be/statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://disbiome.ugent.be/home","type":"open","notes":"Publications and/or relevant data can be included in the database throught a pre-formatted email."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001294","bsg-d001294"],"name":"FAIRsharing record for: Disbiome","abbreviation":"Disbiome","url":"https://fairsharing.org/10.25504/FAIRsharing.lFdTxB","doi":"10.25504/FAIRsharing.lFdTxB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Disbiome is a database covering microbial composition changes in different kinds of diseases. Disease names, detection methods or organism names can be used as search queries giving that return information related to the experiment (related disease/bacteria, abundancy subject/control, control type, detection method and related literature).","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12262}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Microbiology"],"domains":["Parkinson's disease","Liver disease","Kidney disease","Disease","Liver","Diabetes mellitus","Microbiome"],"taxonomies":["Bifidobacterium","Blautia","Faecalibacterium prausnitzii","Fusobacteria","Lachnospiraceae","Lactobacillus","Neisseria","Parabacteroides","Prevotella","Roseburia"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":2548,"pubmed_id":29866037,"title":"Disbiome database: linking the microbiome to disease.","year":2018,"url":"http://doi.org/10.1186/s12866-018-1197-5","authors":"Janssens Y,Nielandt J,Bronselaer A,Debunne N,Verbeke F,Wynendaele E,Van Immerseel F,Vandewynckel YP,De Tre G,De Spiegeleer B","journal":"BMC Microbiol","doi":"10.1186/s12866-018-1197-5","created_at":"2021-09-30T08:27:12.469Z","updated_at":"2021-09-30T08:27:12.469Z"},{"id":3345,"pubmed_id":null,"title":"Disbiome: A Database Describing Microbiome Alterations in Different Disease States","year":2019,"url":"http://dx.doi.org/10.1016/B978-0-12-801238-3.11526-0","authors":"Janssens, Yorick; Bronselaer, Antoon; Wynendaele, Evelien; De Tré, Guy; De Spiegeleer, Bart; ","journal":"Systems Medicine","doi":"10.1016/b978-0-12-801238-3.11526-0","created_at":"2022-05-04T14:22:13.822Z","updated_at":"2022-05-04T14:22:13.822Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2674,"relation":"applies_to_content"}],"grants":[{"id":3485,"fairsharing_record_id":2795,"organisation_id":1152,"relation":"maintains","created_at":"2021-09-30T09:26:17.846Z","updated_at":"2021-09-30T09:26:17.846Z","grant_id":null,"is_lead":true,"saved_state":{"id":1152,"name":"Ghent University, Gent, Belgium","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9333,"fairsharing_record_id":2795,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:31.030Z","updated_at":"2022-04-11T12:07:31.056Z","grant_id":1009,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"1S21017N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2796","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T11:53:09.000Z","updated_at":"2023-06-23T10:19:57.550Z","metadata":{"doi":"10.25504/FAIRsharing.zZHCUQ","name":"Unimod","status":"ready","contacts":[{"contact_name":"John S. Cottrell","contact_email":"jcottrell@matrixscience.com"}],"homepage":"http://www.unimod.org","citations":[{"doi":"10.1002/pmic.200300744","pubmed_id":15174123,"publication_id":809}],"identifier":2796,"description":"Unimod is a community-supported, comprehensive database of protein modifications for mass spectrometry applications. The aim is to provide accurate and verifiable values, derived from elemental compositions, for the mass differences introduced by all types of natural and artificial modifications. Other important information includes any mass change, (neutral loss), that occurs during MS/MS analysis, and site specificity, (which residues are susceptible to modification and any constraints on the position of the modification within the protein or peptide).","abbreviation":"Unimod","data_curation":{"url":"http://www.unimod.org/curating.html","type":"manual/automated","notes":"User who creates a new modification record becomes the curator of that record. A record can only be modified by its curator or an administrator. To add a record, you must register and log in. The process is fully automatic."},"support_links":[{"url":"http://www.unimod.org/unimod_help.html","name":"Unimod Help","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"url":"http://www.unimod.org/unimod_help.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.unimod.org/curating.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001295","bsg-d001295"],"name":"FAIRsharing record for: Unimod","abbreviation":"Unimod","url":"https://fairsharing.org/10.25504/FAIRsharing.zZHCUQ","doi":"10.25504/FAIRsharing.zZHCUQ","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Unimod is a community-supported, comprehensive database of protein modifications for mass spectrometry applications. The aim is to provide accurate and verifiable values, derived from elemental compositions, for the mass differences introduced by all types of natural and artificial modifications. Other important information includes any mass change, (neutral loss), that occurs during MS/MS analysis, and site specificity, (which residues are susceptible to modification and any constraints on the position of the modification within the protein or peptide).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics"],"domains":["Mass spectrum","Protein modification","Mass spectrometry assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan","United Kingdom","United States"],"publications":[{"id":809,"pubmed_id":15174123,"title":"Unimod: Protein modifications for mass spectrometry.","year":2004,"url":"http://doi.org/10.1002/pmic.200300744","authors":"Creasy DM,Cottrell JS","journal":"Proteomics","doi":"10.1002/pmic.200300744","created_at":"2021-09-30T08:23:49.262Z","updated_at":"2021-09-30T08:23:49.262Z"}],"licence_links":[{"licence_name":"Design Science License (DSL)","licence_id":236,"licence_url":"https://www.gnu.org/licenses/dsl.html","link_id":2318,"relation":"undefined"},{"licence_name":"Unimod Copyleft","licence_id":820,"licence_url":"http://www.unimod.org/login.php?message=expired","link_id":2325,"relation":"undefined"}],"grants":[{"id":3487,"fairsharing_record_id":2796,"organisation_id":1774,"relation":"maintains","created_at":"2021-09-30T09:26:17.896Z","updated_at":"2021-09-30T09:26:17.896Z","grant_id":null,"is_lead":true,"saved_state":{"id":1774,"name":"Matrix Science, London, UK","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2797","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T22:22:51.000Z","updated_at":"2023-12-15T10:32:47.323Z","metadata":{"doi":"10.25504/FAIRsharing.00dfd8","name":"Advanced Spaceborne Thermal Emission and Reflection Radiometer","status":"ready","contacts":[{"contact_name":"Yasushi Yamaguchi","contact_email":"yasushi@nagoya-u.jp","contact_orcid":"0000-0002-2554-1060"}],"homepage":"https://asterweb.jpl.nasa.gov","identifier":2797,"description":"ASTER Data is generated as a result of the collaboration between US and Japan space program where thermal and sensing imaging technology used to create detailed maps of land surface temperature, reflectance, and elevation. Scientist can freely use this information to inform geological research or the Earth.","abbreviation":"ASTER Data","data_curation":{"type":"not found"},"support_links":[{"url":"https://asterweb.jpl.nasa.gov/latest.asp","name":"News","type":"Blog/News"},{"url":"https://science.jpl.nasa.gov/index.cfm?FuseAction=ShowFeedback\u0026PersonID=236","name":"contact","type":"Contact form"},{"url":"https://asterweb.jpl.nasa.gov/biblio.asp","name":"Bibliography","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011708","name":"re3data:r3d100011708","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010478","name":"SciCrunch:RRID:SCR_010478","portal":"SciCrunch"}],"data_access_condition":{"url":"https://asterweb.jpl.nasa.gov/obtaining_data.asp","type":"open","notes":"ASTER is an on-demand instrument: data is only acquired over a location if a request has been submitted to observe that area. Any data that ASTER has already acquired are available."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001296","bsg-d001296"],"name":"FAIRsharing record for: Advanced Spaceborne Thermal Emission and Reflection Radiometer","abbreviation":"ASTER Data","url":"https://fairsharing.org/10.25504/FAIRsharing.00dfd8","doi":"10.25504/FAIRsharing.00dfd8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ASTER Data is generated as a result of the collaboration between US and Japan space program where thermal and sensing imaging technology used to create detailed maps of land surface temperature, reflectance, and elevation. Scientist can freely use this information to inform geological research or the Earth.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Earth Science","Hydrology"],"domains":["Climate","Imaging"],"taxonomies":["Not applicable"],"user_defined_tags":["earth observation","Natural Resources, Earth and Environment","Satellite Data"],"countries":["Japan","United States"],"publications":[],"licence_links":[],"grants":[{"id":3488,"fairsharing_record_id":2797,"organisation_id":1945,"relation":"maintains","created_at":"2021-09-30T09:26:17.920Z","updated_at":"2021-09-30T09:26:17.920Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3489,"fairsharing_record_id":2797,"organisation_id":1859,"relation":"maintains","created_at":"2021-09-30T09:26:17.946Z","updated_at":"2021-09-30T09:26:17.946Z","grant_id":null,"is_lead":false,"saved_state":{"id":1859,"name":"Ministry of Economy Trade and Industry (METI), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2775","type":"fairsharing_records","attributes":{"created_at":"2019-05-13T13:42:34.000Z","updated_at":"2023-06-22T17:12:37.847Z","metadata":{"doi":"10.25504/FAIRsharing.sFzdV7","name":"Protein Data Bank in Europe - Knowledge Base","status":"ready","contacts":[{"contact_name":"Mihaly Varadi","contact_email":"mvaradi@ebi.ac.uk"}],"homepage":"http://pdbe-kb.org","citations":[{"doi":"10.1093/nar/gkz853","pubmed_id":31584092,"publication_id":1453}],"identifier":2775,"description":"PDBe-KB (Protein Data Bank in Europe - Knowledge Base) is a community-driven resource managed by the PDBe team, collating functional annotations and predictions for structure data in the PDB archive. PDBe-KB is a collaborative effort between PDBe and a diverse group of bioinformatics resources and research teams. The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research.","abbreviation":"PDBe-KB","data_curation":{"type":"not found"},"support_links":[{"url":"pdbehelp@ebi.ac.uk","name":"PDBe Helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/news","name":"News","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/guidelines","name":"Collaboration Guidelines","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/partners","name":"Collaborators","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/","name":"@PDBeurope","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/pdbe/pdbe-kb/join","type":"controlled","notes":"Open to members of the PDBe-KB consortium"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001274","bsg-d001274"],"name":"FAIRsharing record for: Protein Data Bank in Europe - Knowledge Base","abbreviation":"PDBe-KB","url":"https://fairsharing.org/10.25504/FAIRsharing.sFzdV7","doi":"10.25504/FAIRsharing.sFzdV7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDBe-KB (Protein Data Bank in Europe - Knowledge Base) is a community-driven resource managed by the PDBe team, collating functional annotations and predictions for structure data in the PDB archive. PDBe-KB is a collaborative effort between PDBe and a diverse group of bioinformatics resources and research teams. The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12841}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Bioinformatics","Structural Biology"],"domains":["Protein structure","Protein folding","Structure","Protein"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1178,"pubmed_id":30445541,"title":"SIFTS: updated Structure Integration with Function, Taxonomy and Sequences resource allows 40-fold increase in coverage of structure-based annotations for proteins.","year":2018,"url":"http://doi.org/10.1093/nar/gky1114","authors":"Dana JM,Gutmanas A,Tyagi N,Qi G,O'Donovan C,Martin M,Velankar S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1114","created_at":"2021-09-30T08:24:30.972Z","updated_at":"2021-09-30T11:29:02.267Z"},{"id":1453,"pubmed_id":31584092,"title":"PDBe-KB: a community-driven resource for structural and functional annotations.","year":2019,"url":"http://doi.org/10.1093/nar/gkz853","authors":"PDBe-KB consortium ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz853","created_at":"2021-09-30T08:25:02.392Z","updated_at":"2021-09-30T11:29:51.378Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":299,"relation":"undefined"}],"grants":[{"id":3436,"fairsharing_record_id":2775,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:16.502Z","updated_at":"2021-09-30T09:26:16.502Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2777","type":"fairsharing_records","attributes":{"created_at":"2019-06-12T14:06:28.000Z","updated_at":"2023-12-15T10:32:33.052Z","metadata":{"doi":"10.25504/FAIRsharing.PeLjos","name":"iGEM Registry of Standard Biological Parts","status":"ready","contacts":[{"contact_name":"Vinoo Selvarajhah","contact_email":"vinoo@igem.org"}],"homepage":"http://parts.igem.org","identifier":2777,"description":"The iGEM Parts Registry is a growing collection of genetic parts that can be mixed and matched to build synthetic biology devices and systems. As part of the synthetic biology community's efforts to make biology easier to engineer, it provides a source of genetic parts to iGEM teams and academic labs. You can learn more about iGEM Teams and Labs at iGEM.org.","abbreviation":"iGEM","data_curation":{"url":"http://parts.igem.org/Collections#How_are_these_collections_curated.3F","type":"manual"},"support_links":[{"url":"http://parts.igem.org/Help:Contents","name":"Help Pages","type":"Help documentation"},{"url":"http://parts.igem.org/Videos","name":"iGEM Videos","type":"Training documentation"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://parts.igem.org/cgi/sequencing/index.cgi","name":"Sequence Analysis"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://parts.igem.org/Add_a_Part_to_the_Registry","type":"controlled","notes":"Members of iGEM teams and labs can submit data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001276","bsg-d001276"],"name":"FAIRsharing record for: iGEM Registry of Standard Biological Parts","abbreviation":"iGEM","url":"https://fairsharing.org/10.25504/FAIRsharing.PeLjos","doi":"10.25504/FAIRsharing.PeLjos","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The iGEM Parts Registry is a growing collection of genetic parts that can be mixed and matched to build synthetic biology devices and systems. As part of the synthetic biology community's efforts to make biology easier to engineer, it provides a source of genetic parts to iGEM teams and academic labs. You can learn more about iGEM Teams and Labs at iGEM.org.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Bioengineering"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3440,"fairsharing_record_id":2777,"organisation_id":1312,"relation":"maintains","created_at":"2021-09-30T09:26:16.602Z","updated_at":"2021-09-30T09:26:16.602Z","grant_id":null,"is_lead":true,"saved_state":{"id":1312,"name":"iGEM Foundation","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2779","type":"fairsharing_records","attributes":{"created_at":"2019-06-12T19:19:19.000Z","updated_at":"2023-12-15T10:32:56.558Z","metadata":{"doi":"10.25504/FAIRsharing.lKaOme","name":"BioGRID Open Repository of CRISPR Screens","status":"ready","contacts":[{"contact_name":"Rose Oughtred","contact_email":"biogridadmin@gmail.com","contact_orcid":"0000-0002-6475-3373"}],"homepage":"https://orcs.thebiogrid.org/","citations":[{"doi":"10.1093/nar/gky1079","pubmed_id":30476227,"publication_id":2522}],"identifier":2779,"description":"BioGRID ORCS is an open repository of CRISPR screens compiled through comprehensive curation efforts. Our current index is version 1.0.3 and searches more than 49 publications and 58,161 genes to return more than 895 CRISPR screens from 3 major model organism species and 629 cell lines. All screen data are freely provided through our search index and available via download in a wide variety of standardized formats.","abbreviation":"ORCS","data_curation":{"url":"https://wiki.thebiogrid.org/doku.php/orcs:curation_description","type":"manual/automated"},"support_links":[{"url":"https://wiki.thebiogrid.org/doku.php/ORCS","name":"Help and Support","type":"Help documentation"},{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:statistics","name":"Statistics","type":"Help documentation"},{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:aboutus","name":"About BioGRID ORCS","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","associated_tools":[{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:tools","name":"Tool Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013160","name":"re3data:r3d100013160","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://wiki.thebiogrid.org/doku.php/ORCS:contribute","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001278","bsg-d001278"],"name":"FAIRsharing record for: BioGRID Open Repository of CRISPR Screens","abbreviation":"ORCS","url":"https://fairsharing.org/10.25504/FAIRsharing.lKaOme","doi":"10.25504/FAIRsharing.lKaOme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioGRID ORCS is an open repository of CRISPR screens compiled through comprehensive curation efforts. Our current index is version 1.0.3 and searches more than 49 publications and 58,161 genes to return more than 895 CRISPR screens from 3 major model organism species and 629 cell lines. All screen data are freely provided through our search index and available via download in a wide variety of standardized formats.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Quantitative Genetics","Life Science","Database Management","Biology"],"domains":["Cell line","Gene knockout","High Throughput Screening","Phenotype","Gene","CRISPR"],"taxonomies":["Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Canada","United States"],"publications":[{"id":2522,"pubmed_id":30476227,"title":"The BioGRID interaction database: 2019 update","year":2018,"url":"http://doi.org/10.1093/nar/gky1079","authors":"Oughtred R, Stark C, Breitkreutz BJ, Rust J, Boucher L, Chang C, Kolas N, O'Donnell L, Leung G, McAdam R, Zhang F, Dolma S, Willems A, Coulombe-Huntington J, Chatr-Aryamontri A, Dolinski K, Tyers M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1079","created_at":"2021-09-30T08:27:09.407Z","updated_at":"2021-09-30T11:29:38.670Z"}],"licence_links":[],"grants":[{"id":3443,"fairsharing_record_id":2779,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:16.679Z","updated_at":"2021-09-30T09:26:16.679Z","grant_id":null,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3442,"fairsharing_record_id":2779,"organisation_id":2038,"relation":"funds","created_at":"2021-09-30T09:26:16.652Z","updated_at":"2021-09-30T09:31:53.160Z","grant_id":1371,"is_lead":false,"saved_state":{"id":2038,"name":"National Institutes of Health Office of Research Infrastructure Programs","grant":"R01OD010929","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2781","type":"fairsharing_records","attributes":{"created_at":"2019-05-23T23:43:19.000Z","updated_at":"2023-04-20T09:44:22.005Z","metadata":{"doi":"10.25504/FAIRsharing.U9GXhB","name":"National Coronial Information System","status":"deprecated","contacts":[{"contact_name":"NCIS","contact_email":"ncis@ncis.org.au","contact_orcid":null}],"homepage":"https://www.ncis.org.au/","citations":[],"identifier":2781,"description":"The National Coronial Information System (NCIS) is a secure database of information on deaths reported to a coroner in Australia and New Zealand. The NCIS contains data on almost 500,000 cases, investigated by a coroner. Data includes demographic information on the deceased, contextual details on the nature of the fatality and searchable medico-legal case reports including the coronial finding, autopsy and toxicology report and police notification of death. The database is available to coroners to assist investigations and access is available on application (subject to ethics approval processes) for research projects.","abbreviation":"NCIS","data_curation":{},"support_links":[{"url":"ncis@ncis.org.au","type":"Support email"}],"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012912","name":"re3data:r3d100012912","portal":"re3data"}],"deprecation_date":"2023-03-21","deprecation_reason":"Geo-blocking has been applied to this resource and it can only be accessed by users in Australia and New Zealand. As this resource is no longer available for FAIRsharing to review, we have deprecated the record, but keep it accessible within the registry to provide our user community with the information regarding its life cycle status.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001280","bsg-d001280"],"name":"FAIRsharing record for: National Coronial Information System","abbreviation":"NCIS","url":"https://fairsharing.org/10.25504/FAIRsharing.U9GXhB","doi":"10.25504/FAIRsharing.U9GXhB","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Coronial Information System (NCIS) is a secure database of information on deaths reported to a coroner in Australia and New Zealand. The NCIS contains data on almost 500,000 cases, investigated by a coroner. Data includes demographic information on the deceased, contextual details on the nature of the fatality and searchable medico-legal case reports including the coronial finding, autopsy and toxicology report and police notification of death. The database is available to coroners to assist investigations and access is available on application (subject to ethics approval processes) for research projects.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12843}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Public Health","Epidemiology"],"domains":["Resource collection"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1984,"pubmed_id":31240008,"title":"National Coronial Information System: Epidemiology and the Coroner in Australia","year":2017,"url":"http://doi.org/10.23907/2017.049","authors":"Eva Saar, Lyndal Bugeja, David L. Ranson","journal":"Academic Forensic Pathology","doi":"10.23907/2017.049","created_at":"2021-09-30T08:26:03.273Z","updated_at":"2021-09-30T08:26:03.273Z"}],"licence_links":[{"licence_name":"NCIS Copyright","licence_id":560,"licence_url":"https://www.ncis.org.au/about-us/copyright/","link_id":767,"relation":"undefined"},{"licence_name":"NCIS Disclaimer","licence_id":561,"licence_url":"https://www.ncis.org.au/about-us/disclaimer/","link_id":765,"relation":"undefined"},{"licence_name":"NCIS Privacy Statement","licence_id":562,"licence_url":"https://www.ncis.org.au/about-us/privacy-statement/","link_id":764,"relation":"undefined"}],"grants":[{"id":3447,"fairsharing_record_id":2781,"organisation_id":1981,"relation":"maintains","created_at":"2021-09-30T09:26:16.779Z","updated_at":"2021-09-30T09:26:16.779Z","grant_id":null,"is_lead":true,"saved_state":{"id":1981,"name":"National Coronial Information System (NCIS)","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2793","type":"fairsharing_records","attributes":{"created_at":"2019-07-15T19:19:11.000Z","updated_at":"2023-12-15T10:31:41.821Z","metadata":{"doi":"10.25504/FAIRsharing.WDGf1A","name":"Arctic Data Archive System","status":"ready","contacts":[{"contact_name":"ADS General Contact","contact_email":"ads-info@nipr.ac.jp"}],"homepage":"https://ads.nipr.ac.jp/portal/index.action","identifier":2793,"description":"The Arctic Data Archive System is a collection of many observational (atmosphere, ocean, terrestrial, and ecology) and model simulation datasets, and promote utilization of these datasets. ADS is the central repository of archived data on Arctic research in Japan.","abbreviation":"ADS","data_curation":{"type":"not found"},"support_links":[{"url":"https://ads.nipr.ac.jp/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ads.nipr.ac.jp/about-us","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ADS_NIPR","name":"@ADS_NIPR","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012463","name":"re3data:r3d100012463","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ads.nipr.ac.jp/registration/about/summary","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001292","bsg-d001292"],"name":"FAIRsharing record for: Arctic Data Archive System","abbreviation":"ADS","url":"https://fairsharing.org/10.25504/FAIRsharing.WDGf1A","doi":"10.25504/FAIRsharing.WDGf1A","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arctic Data Archive System is a collection of many observational (atmosphere, ocean, terrestrial, and ecology) and model simulation datasets, and promote utilization of these datasets. ADS is the central repository of archived data on Arctic research in Japan.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Meteorology","Earth Science","Atmospheric Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Arctic","Cryosphere","Paleoclimatology"],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"ADS Data Policy","licence_id":10,"licence_url":"https://ads.nipr.ac.jp/data-policy/","link_id":2107,"relation":"undefined"},{"licence_name":"ADS Privacy Policy","licence_id":11,"licence_url":"https://ads.nipr.ac.jp/privacy-policy/","link_id":2106,"relation":"undefined"}],"grants":[{"id":3482,"fairsharing_record_id":2793,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:26:17.771Z","updated_at":"2021-09-30T09:26:17.771Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3483,"fairsharing_record_id":2793,"organisation_id":108,"relation":"maintains","created_at":"2021-09-30T09:26:17.796Z","updated_at":"2021-09-30T09:26:17.796Z","grant_id":null,"is_lead":true,"saved_state":{"id":108,"name":"Arctic Environment Research Center, National Institute of Polar Research (NIPR), Tokyo, Japan","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2794","type":"fairsharing_records","attributes":{"created_at":"2019-07-17T10:44:06.000Z","updated_at":"2022-07-20T12:26:32.784Z","metadata":{"doi":"10.25504/FAIRsharing.abbexa","name":"DES-TOMATO","status":"deprecated","contacts":[{"contact_name":"Vladimir Bajic","contact_email":"vladimir.bajic@kaust.edu.sa"}],"homepage":"https://www.cbrc.kaust.edu.sa/des_tomato/home/index.php","citations":[{"doi":"10.1038/s41598-017-05448-0","pubmed_id":28729549,"publication_id":2526}],"identifier":2794,"description":"DES-TOMATO is a topic-specific literature exploration system developed to allow the exploration of information related to tomato. The information provided in DES-TOMATO is obtained through the text-mining of available scientific literature, namely full-length articles in PubMed Central and titles and abstracts in PubMed.","abbreviation":"DES-TOMATO","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.cbrc.kaust.edu.sa/des_tomato/mykbase/show_help.php","name":"Software Manual","type":"Help documentation"},{"url":"https://www.youtube.com/watch?time_continue=3\u0026v=6l3g4B2aN7k","name":"Video Tutorial","type":"Video"},{"url":"https://www.cbrc.kaust.edu.sa/des_tomato/about/about.php","name":"About DES-TOMATO","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001293","bsg-d001293"],"name":"FAIRsharing record for: DES-TOMATO","abbreviation":"DES-TOMATO","url":"https://fairsharing.org/10.25504/FAIRsharing.abbexa","doi":"10.25504/FAIRsharing.abbexa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DES-TOMATO is a topic-specific literature exploration system developed to allow the exploration of information related to tomato. The information provided in DES-TOMATO is obtained through the text-mining of available scientific literature, namely full-length articles in PubMed Central and titles and abstracts in PubMed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["Text mining","Natural language processing","Publication"],"taxonomies":["Solanum lycopersicum"],"user_defined_tags":["Knowledge Mining"],"countries":["Saudi Arabia"],"publications":[{"id":2526,"pubmed_id":28729549,"title":"DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species.","year":2017,"url":"http://doi.org/10.1038/s41598-017-05448-0","authors":"Salhi A,Negrao S,Essack M,Morton MJL,Bougouffa S,Razali R,Radovanovic A,Marchand B,Kulmanov M,Hoehndorf R,Tester M,Bajic VB","journal":"Sci Rep","doi":"10.1038/s41598-017-05448-0","created_at":"2021-09-30T08:27:09.900Z","updated_at":"2021-09-30T08:27:09.900Z"}],"licence_links":[{"licence_name":"KAUST Terms of Use","licence_id":475,"licence_url":"https://www.kaust.edu.sa/en/Pages/Terms-of-Use.aspx","link_id":711,"relation":"undefined"}],"grants":[{"id":3484,"fairsharing_record_id":2794,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:26:17.821Z","updated_at":"2021-09-30T09:26:17.821Z","grant_id":null,"is_lead":true,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2773","type":"fairsharing_records","attributes":{"created_at":"2019-06-04T20:53:44.000Z","updated_at":"2023-12-15T10:32:06.953Z","metadata":{"doi":"10.25504/FAIRsharing.WxI96O","name":"Signaling Pathways Project","status":"ready","contacts":[{"contact_name":"Neil McKenna","contact_email":"nmckenna@bcm.edu","contact_orcid":"0000-0001-6689-0104"}],"homepage":"http://www.signalingpathways.org/index.jsf","citations":[{"doi":"10.1038/s41597-019-0193-4","publication_id":2627}],"identifier":2773,"description":"The Signaling Pathways Project is an integrated 'omics knowledgebase based upon public, manually curated transcriptomic and cistromic (ChIP-Seq) datasets involving genetic and small molecule manipulations of cellular receptors, enzymes and transcription factors. Our goal is to create a resource where scientists can routinely generate research hypotheses or validate bench data relevant to cellular signaling pathways.","abbreviation":"SPP","data_curation":{"url":"http://www.signalingpathways.org/collaborations.jsf","type":"manual/automated","notes":"The Signaling Pathways Project has developed a unique ‘omics dataset biocuration pipeline, involving mapping of experimental perturbations to cellular signaling pathway nodes, creation of richly annotated secondary versions of the datasets, and incorporation into consensomes."},"support_links":[{"url":"http://www.signalingpathways.org/about/index.jsf","name":"About SPP","type":"Help documentation"},{"url":"https://twitter.com/sigpathproject","name":"@sigpathproject","type":"Twitter"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"http://www.signalingpathways.org/ominer/query.jsf","name":"Ominer 1.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013650","name":"re3data:r3d100013650","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018412","name":"SciCrunch:RRID:SCR_018412","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001272","bsg-d001272"],"name":"FAIRsharing record for: Signaling Pathways Project","abbreviation":"SPP","url":"https://fairsharing.org/10.25504/FAIRsharing.WxI96O","doi":"10.25504/FAIRsharing.WxI96O","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Signaling Pathways Project is an integrated 'omics knowledgebase based upon public, manually curated transcriptomic and cistromic (ChIP-Seq) datasets involving genetic and small molecule manipulations of cellular receptors, enzymes and transcription factors. Our goal is to create a resource where scientists can routinely generate research hypotheses or validate bench data relevant to cellular signaling pathways.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12840}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Transcriptomics","Omics"],"domains":["Expression data","Computational biological predictions","Differential gene expression analysis","Gene expression","Regulation of gene expression","Signaling","Transcription factor","Receptor","Enzyme","Chromatin immunoprecipitation - DNA sequencing","Pathway model"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2627,"pubmed_id":null,"title":"The Signaling Pathways Project, an integrated ‘omics knowledgebase for mammalian cellular signaling pathways","year":2019,"url":"http://doi.org/10.1038/s41597-019-0193-4","authors":"Scott A. Ochsner, David Abraham, Kirt Martin, et al.","journal":"Scientific Data","doi":"10.1038/s41597-019-0193-4","created_at":"2021-09-30T08:27:22.546Z","updated_at":"2021-09-30T08:27:22.546Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1395,"relation":"undefined"}],"grants":[{"id":3433,"fairsharing_record_id":2773,"organisation_id":178,"relation":"maintains","created_at":"2021-09-30T09:26:16.429Z","updated_at":"2021-09-30T09:26:16.429Z","grant_id":null,"is_lead":true,"saved_state":{"id":178,"name":"Baylor College of Medicine (BCM), Texas, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9152,"fairsharing_record_id":2773,"organisation_id":2015,"relation":"funds","created_at":"2022-04-11T12:07:17.933Z","updated_at":"2022-04-11T12:07:17.948Z","grant_id":432,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK097748","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9155,"fairsharing_record_id":2773,"organisation_id":2015,"relation":"funds","created_at":"2022-04-11T12:07:18.131Z","updated_at":"2022-04-11T12:07:18.145Z","grant_id":803,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","grant":"DK097771","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2772","type":"fairsharing_records","attributes":{"created_at":"2019-06-04T11:11:53.000Z","updated_at":"2023-12-07T10:55:29.444Z","metadata":{"doi":"10.25504/FAIRsharing.L9UwAM","name":"CLOSER Discovery","status":"ready","contacts":[{"contact_name":"CLOSER Support","contact_email":"closer@ucl.ac.uk"}],"homepage":"https://www.discovery.closer.ac.uk/","citations":[{"doi":"10.1093/ije/dyz004","pubmed_id":30789213,"publication_id":2426}],"identifier":2772,"description":"CLOSER Discovery enables researchers to search and browse questionnaires and data from eight leading UK longitudinal studies. Relevant survey questions and variables, which can be filtered by study, topic and life stage, are available. Accessing data from each study varies according to the source and data type.","abbreviation":"CLOSER Discovery","data_curation":{"url":"https://wiki.ucl.ac.uk/display/CLOS/Metadata+Pipeline","type":"manual/automated"},"support_links":[{"url":"https://www.discovery.closer.ac.uk/page/faqs/1","name":"CLOSER FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.discovery.closer.ac.uk/page/how-to-guides/6","name":"How-To Guide","type":"Help documentation"},{"url":"https://www.discovery.closer.ac.uk/page/about/4","name":"About CLOSER","type":"Help documentation"},{"url":"https://www.closer.ac.uk/how-to-access-the-data","name":"How to Access Data","type":"Help documentation"},{"url":"https://wiki.ucl.ac.uk/display/CLOS/What+is+the+CLOSER+Technical+Wiki","name":"Technical Wiki","type":"Help documentation"},{"url":"https://www.discovery.closer.ac.uk/page/data-security/3","name":"Data Security and Metadata Licensing","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100014274","name":"re3data:r3d100014274","portal":"re3data"}],"data_access_condition":{"url":"https://discovery.closer.ac.uk/page/data-security/3","type":"open","notes":"CLOSER is a metadata portal related to serveral studies. To access data for the studies see: https://www.discovery.closer.ac.uk/page/faqs/1#access-data"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.discovery.closer.ac.uk/page/content/8","type":"not applicable","notes":"Only contains metadata from the nine CLOSER longitudinal studies, with no additional deposition allowed."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001271","bsg-d001271"],"name":"FAIRsharing record for: CLOSER Discovery","abbreviation":"CLOSER Discovery","url":"https://fairsharing.org/10.25504/FAIRsharing.L9UwAM","doi":"10.25504/FAIRsharing.L9UwAM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CLOSER Discovery enables researchers to search and browse questionnaires and data from eight leading UK longitudinal studies. Relevant survey questions and variables, which can be filtered by study, topic and life stage, are available. Accessing data from each study varies according to the source and data type.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12839}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Social Science","Public Health","Social and Behavioural Science","Biomedical Science"],"domains":["Questionnaire"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2426,"pubmed_id":30789213,"title":"Data Resource Profile: Cohort and Longitudinal Studies Enhancement Resources (CLOSER)","year":2019,"url":"http://doi.org/10.1093/ije/dyz004","authors":"O'Neil, Dara","journal":"International journal of epidemiology","doi":"10.1093/ije/dyz004","created_at":"2021-09-30T08:26:57.719Z","updated_at":"2021-09-30T08:26:57.719Z"}],"licence_links":[{"licence_name":"Non-Commercial Government Licence for Public Sector Information","licence_id":597,"licence_url":"https://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/","link_id":1496,"relation":"undefined"}],"grants":[{"id":3430,"fairsharing_record_id":2772,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:26:16.352Z","updated_at":"2021-09-30T09:26:16.352Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3431,"fairsharing_record_id":2772,"organisation_id":1438,"relation":"maintains","created_at":"2021-09-30T09:26:16.378Z","updated_at":"2021-09-30T09:26:16.378Z","grant_id":null,"is_lead":true,"saved_state":{"id":1438,"name":"Institute of Structural and Molecular Biology, University College London, London, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3432,"fairsharing_record_id":2772,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:26:16.402Z","updated_at":"2021-09-30T09:30:55.503Z","grant_id":936,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","grant":"ES/K000357/1","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2835","type":"fairsharing_records","attributes":{"created_at":"2019-10-01T12:25:45.000Z","updated_at":"2023-05-05T10:44:16.524Z","metadata":{"doi":"10.25504/FAIRsharing.FwFGGF","name":"PhenoDis","status":"deprecated","contacts":[{"contact_name":"Dr. Andreas Ruepp","contact_email":"andreas.ruepp@helmholtz-muenchen.de"}],"homepage":"http://mips.helmholtz-muenchen.de/phenodis/","citations":[{"doi":"10.1186/s13023-018-0765-y","pubmed_id":29370821,"publication_id":2567}],"identifier":2835,"description":"PhenoDis is a manually annotated database providing symptomatic, genetic and imprinting information about rare cardiac diseases. PhenoDis is primarily concerned with the assignment of clinical symptoms to rare diseases using the biomedical literature as information source and the Human Phenotype Ontology (HPO) as vocabulary. \n","abbreviation":"PhenoDis","data_curation":{"type":"not found"},"support_links":[{"url":"http://mips.helmholtz-muenchen.de/pheno/help/showHelp","name":"Help","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001336","bsg-d001336"],"name":"FAIRsharing record for: PhenoDis","abbreviation":"PhenoDis","url":"https://fairsharing.org/10.25504/FAIRsharing.FwFGGF","doi":"10.25504/FAIRsharing.FwFGGF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PhenoDis is a manually annotated database providing symptomatic, genetic and imprinting information about rare cardiac diseases. PhenoDis is primarily concerned with the assignment of clinical symptoms to rare diseases using the biomedical literature as information source and the Human Phenotype Ontology (HPO) as vocabulary. \n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cardiology","Genetics"],"domains":["Disease","Cardiovascular disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2567,"pubmed_id":29370821,"title":"PhenoDis: a comprehensive database for phenotypic characterization of rare cardiac diseases.","year":2018,"url":"http://doi.org/10.1186/s13023-018-0765-y","authors":"Adler A,Kirchmeier P,Reinhard J,Brauner B,Dunger I,Fobo G,Frishman G,Montrone C,Mewes HW,Arnold M,Ruepp A","journal":"Orphanet J Rare Dis","doi":"10.1186/s13023-018-0765-y","created_at":"2021-09-30T08:27:14.795Z","updated_at":"2021-09-30T08:27:14.795Z"}],"licence_links":[{"licence_name":"Helmholtz Zentrum Muenchen Imprint","licence_id":387,"licence_url":"https://www.helmholtz-muenchen.de/en/imprint/index.html","link_id":1272,"relation":"undefined"}],"grants":[{"id":3575,"fairsharing_record_id":2835,"organisation_id":1401,"relation":"maintains","created_at":"2021-09-30T09:26:20.355Z","updated_at":"2021-09-30T09:26:20.355Z","grant_id":null,"is_lead":true,"saved_state":{"id":1401,"name":"Institute of Bioinformatics and Systems Biology (IBIS), Helmholtz Zentrum Muenchen, Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2836","type":"fairsharing_records","attributes":{"created_at":"2019-10-01T12:52:51.000Z","updated_at":"2023-06-23T15:44:48.318Z","metadata":{"doi":"10.25504/FAIRsharing.xUkfh7","name":"Mitochondrial Disease Sequence Data Resource","status":"ready","contacts":[{"contact_name":"Marni J. Falk","contact_email":"falkm@email.chop.edu","contact_orcid":"0000-0002-1723-6728"}],"homepage":"https://mseqdr.org/","citations":[{"doi":"10.1002/humu.22974","pubmed_id":26919060,"publication_id":2575}],"identifier":2836,"description":"The Mitochondrial Disease Sequence Data Resource (MSeqDR) is a centralized genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. It integrates community knowledge from expert‐curated databases with genomic and phenotype data shared by clinicians and researchers.","abbreviation":"MSeqDR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://mseqdr.org/news.php","name":"News","type":"Blog/News"},{"url":"https://mseqdr.org/feedback.php","name":"Feedback Form","type":"Contact form"},{"url":"xgai@chla.usc.edu","name":"Xiaowu Gai","type":"Support email"},{"url":"lshen86@gmail.com","name":"Lishuang Shen, Bioinformatician","type":"Support email"},{"url":"https://mseqdr.org/documentation.php","name":"All Documentation","type":"Help documentation"},{"url":"https://mseqdr.org/tutorial.php","name":"Tutorials","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"https://mseqdr.org/mitobox.php","name":"Mitochondrial Toolbox List"},{"url":"https://mseqdr.org/mvtool.php","name":"mvTool - Universal mtDNA Variant Converter and One Stop Annotation 3.0"},{"url":"https://mseqdr.org/mv4phylotree.php","name":"mvTool for PhyloTree and Haplogroup, Universal mtDNA Variant Converter and One Stop Annotation 1.0"},{"url":"https://mseqdr.org/leigh.php","name":"Leigh and Leigh-Like Syndrome (LS/LLS) Resources at MSeqDR.org 1.0"},{"url":"https://mseqdr.org/quickmitome.php","name":"MSeqDR Quick-Mitome - A Phenotype-Guided WES/WGS Variant Interpretation Server for Mitochondrial Diseases 2.0"},{"url":"https://mseqdr.org/MITO/index.php","name":"MSeqDR-LDSB: Expert-curated database of 280 mitochondrial diseases and 15,000 pathogenicity-assessed variants 5.0"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://mseqdr.org/submission.php","type":"open","notes":"Free registration is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001337","bsg-d001337"],"name":"FAIRsharing record for: Mitochondrial Disease Sequence Data Resource","abbreviation":"MSeqDR","url":"https://fairsharing.org/10.25504/FAIRsharing.xUkfh7","doi":"10.25504/FAIRsharing.xUkfh7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mitochondrial Disease Sequence Data Resource (MSeqDR) is a centralized genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. It integrates community knowledge from expert‐curated databases with genomic and phenotype data shared by clinicians and researchers.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12855}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genomics","Phenomics","Biomedical Science"],"domains":["Mitochondrion","Disease","Diagnosis","Sequence","Mitochondrial sequence","Sequence variant","Mitochondrial disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Italy","Netherlands","United Kingdom","United States"],"publications":[{"id":2575,"pubmed_id":26919060,"title":"MSeqDR: A Centralized Knowledge Repository and Bioinformatics Web Resource to Facilitate Genomic Investigations in Mitochondrial Disease.","year":2016,"url":"http://doi.org/10.1002/humu.22974","authors":"Shen L, Diroma MA, Gonzalez M, Navarro-Gomez D, Leipzig J, Lott MT, van Oven M, Wallace DC, Muraresku CC, Zolkipli-Cunningham Z, Chinnery PF, Attimonelli M, Zuchner S, Falk MJ, Gai X","journal":"Hum Mutationm","doi":"10.1002/humu.22974","created_at":"2021-09-30T08:27:15.845Z","updated_at":"2021-09-30T08:27:15.845Z"},{"id":2736,"pubmed_id":29539190,"title":"MSeqDR mvTool: A mitochondrial DNA Web and API resource for comprehensive variant annotation, universal nomenclature collation, and reference genome conversion","year":2018,"url":"http://doi.org/10.1002/humu.23422","authors":"Lishuang Shen, Marcella Attimonelli, Bai Renkui, Marie T Lott, Douglas C Wallace, Marni J Falk, Xiaowu Gai.","journal":"Human Mutation","doi":"doi:10.1002/humu.23422","created_at":"2021-09-30T08:27:35.950Z","updated_at":"2021-09-30T08:27:35.950Z"},{"id":2737,"pubmed_id":25542617,"title":"Mitochondrial Disease Sequence Data Resource (MSeqDR): a global grass-roots consortium to facilitate deposition, curation, annotation, and integrated analysis of genomic data for the mitochondrial disease clinical and research communities.","year":2014,"url":"http://doi.org/10.1016/j.ymgme.2014.11.016","authors":"Falk MJ, Shen L, Gonzalez M, Leipzig J, Lott MT, Stassen AP, Diroma MA, Navarro-Gomez D, Yeske P, Bai R, Boles RG, Brilhante V, Ralph D, DaRe JT, Shelton R, Terry SF, Zhang Z, Copeland WC, van Oven M, Prokisch H, Wallace DC, Attimonelli M, Krotoski D, Zuchner S, Gai X; MSeqDR Consortium Participants; MSeqDR Consortium participants: Sherri Bale, Jirair Bedoyan, Doron Behar, Penelope Bonnen, Lisa Brooks, Claudia Calabrese, Sarah Calvo, Patrick Chinnery, John Christodoulou, Deanna Church,; Rosanna Clima, Bruce H. Cohen, Richard G. Cotton, IFM de Coo, Olga Derbenevoa, Johan T. den Dunnen, David Dimmock, Gregory Enns, Giuseppe Gasparre,; Amy Goldstein, Iris Gonzalez, Katrina Gwinn, Sihoun Hahn, Richard H. Haas, Hakon Hakonarson, Michio Hirano, Douglas Kerr, Dong Li, Maria Lvova, Finley Macrae, Donna Maglott, Elizabeth McCormick, Grant Mitchell, Vamsi K. Mootha, Yasushi Okazaki,; Aurora Pujol, Melissa Parisi, Juan Carlos Perin, Eric A. Pierce, Vincent Procaccio, Shamima Rahman, Honey Reddi, Heidi Rehm, Erin Riggs, Richard Rodenburg, Yaffa Rubinstein, Russell Saneto, Mariangela Santorsola, Curt Scharfe,; Claire Sheldon, Eric A. Shoubridge, Domenico Simone, Bert Smeets, Jan A. Smeitink, Christine Stanley, Anu Suomalainen, Mark Tarnopolsky, Isabelle Thiffault, David R. Thorburn, Johan Van Hove, Lynne Wolfe, and Lee-Jun Wong","journal":"Mol Genet Metab","doi":"10.1016/j.ymgme.2014.11.016","created_at":"2021-09-30T08:27:36.181Z","updated_at":"2021-09-30T08:27:36.181Z"}],"licence_links":[],"grants":[{"id":3576,"fairsharing_record_id":2836,"organisation_id":2127,"relation":"maintains","created_at":"2021-09-30T09:26:20.371Z","updated_at":"2021-09-30T09:26:20.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":2127,"name":"Netherlands Genomic Initiative","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3578,"fairsharing_record_id":2836,"organisation_id":2922,"relation":"funds","created_at":"2021-09-30T09:26:20.405Z","updated_at":"2021-09-30T09:26:20.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":2922,"name":"United Mitochondrial Disease Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3577,"fairsharing_record_id":2836,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:26:20.388Z","updated_at":"2021-09-30T09:26:20.388Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3579,"fairsharing_record_id":2836,"organisation_id":505,"relation":"maintains","created_at":"2021-09-30T09:26:20.421Z","updated_at":"2021-09-30T09:26:20.421Z","grant_id":null,"is_lead":true,"saved_state":{"id":505,"name":"Children's Hospital Los Angeles, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3580,"fairsharing_record_id":2836,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:20.438Z","updated_at":"2021-09-30T09:29:09.011Z","grant_id":114,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U24 HD093483‐01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8235,"fairsharing_record_id":2836,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:40.148Z","updated_at":"2021-09-30T09:31:40.195Z","grant_id":1275,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54‐NS078059","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8295,"fairsharing_record_id":2836,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:57.400Z","updated_at":"2021-09-30T09:31:57.451Z","grant_id":1404,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U41‐HG006834","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2837","type":"fairsharing_records","attributes":{"created_at":"2019-10-21T22:16:57.000Z","updated_at":"2023-10-04T08:23:53.434Z","metadata":{"doi":"10.25504/FAIRsharing.etXuEk","name":"MiST 4.0: Microbial Signal Transduction database","status":"ready","contacts":[{"contact_name":"Vadim Gumerov","contact_email":"netuns@gmail.com","contact_orcid":"0000-0003-1670-7679"}],"homepage":"https://mistdb.com/","citations":[{"doi":"10.1093/nar/gkad847","pubmed_id":null,"publication_id":4002}],"identifier":2837,"description":"Signal transduction systems in bacteria and archaea link environmental stimuli to specific adaptive cellular responses. They control gene expression, motility, biofilm formation, development and other processes that are vital to survival. The microbial signal transduction (MiST) database is\nan online resource that stores tens of thousands of genomes and allows users to explore their signal transduction profiles, analyze genomes in\nbulk using the database application programming interface (API) and make testable hypotheses about the functions of newly identified signaling\nsystems. However, signal transduction in metagenomes remained completely unexplored. To lay the foundation for research in metagenomic\nsignal transduction, we have prepared a new release of the MiST database, MiST 4.0, which features over 10 000 metagenome-assembled\ngenomes (MAGs), a scaled representation of proteins and detailed BioSample information. In addition, several thousands of new genomes have\nbeen processed and stored in the database. A new interface has been developed that allows users to seamlessly switch between genomes and\nMAGs. MiST 4.0 is freely available at https://mistdb.com; metagenomes and MAGs can also be explored using the API available on the same\npage","abbreviation":"MiST","data_curation":{"url":"https://doi.org/10.1093/nar/gkad847","type":"automated"},"support_links":[{"url":"gumerov.1@osu.edu","name":"Contact","type":"Support email"},{"url":"https://twitter.com/mist3db","name":"@mist3db","type":"Twitter"},{"url":"https://mistdb.com/mist/help","name":"Help","type":"Help documentation"}],"year_creation":2023,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001338","bsg-d001338"],"name":"FAIRsharing record for: MiST 4.0: Microbial Signal Transduction database","abbreviation":"MiST","url":"https://fairsharing.org/10.25504/FAIRsharing.etXuEk","doi":"10.25504/FAIRsharing.etXuEk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Signal transduction systems in bacteria and archaea link environmental stimuli to specific adaptive cellular responses. They control gene expression, motility, biofilm formation, development and other processes that are vital to survival. The microbial signal transduction (MiST) database is\nan online resource that stores tens of thousands of genomes and allows users to explore their signal transduction profiles, analyze genomes in\nbulk using the database application programming interface (API) and make testable hypotheses about the functions of newly identified signaling\nsystems. However, signal transduction in metagenomes remained completely unexplored. To lay the foundation for research in metagenomic\nsignal transduction, we have prepared a new release of the MiST database, MiST 4.0, which features over 10 000 metagenome-assembled\ngenomes (MAGs), a scaled representation of proteins and detailed BioSample information. In addition, several thousands of new genomes have\nbeen processed and stored in the database. A new interface has been developed that allows users to seamlessly switch between genomes and\nMAGs. MiST 4.0 is freely available at https://mistdb.com; metagenomes and MAGs can also be explored using the API available on the same\npage","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12856}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Bioinformatics","Computational Biology"],"domains":["Protein domain","Signaling","Receptor","Metagenome","Genome"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":["Chemotaxis","One-component systems","Protein domains","Signal Transduction","Two-component systems"],"countries":["United States"],"publications":[{"id":2632,"pubmed_id":null,"title":"MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems","year":2019,"url":"http://doi.org/10.1093/nar/gkz988","authors":"Vadim M Gumerov, Davi R Ortega, Ogun Adebali, Luke E Ulrich, Igor B Zhulin","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz988","created_at":"2021-09-30T08:27:23.122Z","updated_at":"2021-09-30T08:27:23.122Z"},{"id":4002,"pubmed_id":null,"title":"MiST 4.0: a new release of the microbial signal transduction database, now with a metagenomic component","year":2023,"url":"https://doi.org/10.1093/nar/gkad847","authors":"Vadim M. Gumerov, Luke E. Ulrich, Igor B. Zhulin","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkad847","created_at":"2023-10-02T17:17:00.236Z","updated_at":"2023-10-02T17:17:00.236Z"}],"licence_links":[],"grants":[{"id":3581,"fairsharing_record_id":2837,"organisation_id":2236,"relation":"maintains","created_at":"2021-09-30T09:26:20.454Z","updated_at":"2021-09-30T09:26:20.454Z","grant_id":null,"is_lead":true,"saved_state":{"id":2236,"name":"Ohio State University","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3582,"fairsharing_record_id":2837,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:20.471Z","updated_at":"2021-09-30T09:31:06.634Z","grant_id":1021,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R01DE024463","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8384,"fairsharing_record_id":2837,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:23.425Z","updated_at":"2021-09-30T09:32:23.480Z","grant_id":1598,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R35GM131760","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ0VEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--28ebdd3cb6ab887082a92fb8ddd37f04109468cb/MiST4_logo.PNG?disposition=inline","exhaustive_licences":false}},{"id":"2838","type":"fairsharing_records","attributes":{"created_at":"2019-10-22T12:14:08.000Z","updated_at":"2023-12-15T10:30:34.476Z","metadata":{"doi":"10.25504/FAIRsharing.5a0922","name":"YeastCyc","status":"ready","contacts":[{"contact_name":"BioCyc Support","contact_email":"biocyc-support@ai.sri.com"}],"homepage":"https://yeast.biocyc.org/","identifier":2838,"description":"YeastCyc is a Pathway/Genome Database of the model eukaryote Saccharomyces cerevisiae S288c. In addition to genomic information, the database contains metabolic pathway, reaction, enzyme, and compound information, which has been manually curated from the scientific literature.","abbreviation":"YeastCyc","data_curation":{"url":"https://biocyc.org/credits.shtml?sid=biocyc18-3897989217","type":"manual","notes":"Curation team"},"support_links":[{"url":"https://yeast.biocyc.org/PToolsWebsiteHowto.shtml#SearchHelp","name":"Search Help","type":"Help documentation"},{"url":"https://yeast.biocyc.org/PToolsWebsiteHowto.shtml","name":"User Guide","type":"Help documentation"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[{"url":"https://yeast.biocyc.org/YEAST/blast.html","name":"BLAST"},{"url":"https://yeast.biocyc.org/YEAST/select-gen-el","name":"Genome Browser"},{"url":"https://yeast.biocyc.org/dashboard/dashboard-intro.shtml","name":"Omics Dashboard"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001339","bsg-d001339"],"name":"FAIRsharing record for: YeastCyc","abbreviation":"YeastCyc","url":"https://fairsharing.org/10.25504/FAIRsharing.5a0922","doi":"10.25504/FAIRsharing.5a0922","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: YeastCyc is a Pathway/Genome Database of the model eukaryote Saccharomyces cerevisiae S288c. In addition to genomic information, the database contains metabolic pathway, reaction, enzyme, and compound information, which has been manually curated from the scientific literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Systems Biology"],"domains":["Reaction data","Model organism","Enzyme","Pathway model","Genome","Literature curation"],"taxonomies":["Saccharomyces cerevisiae S288c"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"BioCyc Subscription requirements","licence_id":79,"licence_url":"http://www.phoenixbioinformatics.org/biocyc#product-biocyc-subscription","link_id":1389,"relation":"undefined"}],"grants":[{"id":3583,"fairsharing_record_id":2838,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:20.488Z","updated_at":"2021-09-30T09:26:20.488Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3584,"fairsharing_record_id":2838,"organisation_id":248,"relation":"maintains","created_at":"2021-09-30T09:26:20.505Z","updated_at":"2021-09-30T09:26:20.505Z","grant_id":null,"is_lead":true,"saved_state":{"id":248,"name":"Bioinformatics Research Group, SRI International, Menlo Park, California, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2839","type":"fairsharing_records","attributes":{"created_at":"2019-10-23T07:48:56.000Z","updated_at":"2023-05-05T10:55:16.539Z","metadata":{"doi":"10.25504/FAIRsharing.ohbpNw","name":" Comprehensive Resource of Mammalian protein complexes","status":"deprecated","contacts":[{"contact_name":"Andreas Ruepp","contact_email":"andreas.ruepp@helmholtz-muenchen.de","contact_orcid":"0000-0003-1705-3515"}],"homepage":"https://mips.helmholtz-muenchen.de/corum/","citations":[{"doi":"10.1093/nar/gky973","pubmed_id":30357367,"publication_id":2586}],"identifier":2839,"description":"CORUM is a database that provides a manually curated repository of experimentally characterized protein complexes from mammalian organisms, mainly human (64%), mouse (16%) and rat (12%). Each protein complex is described by a protein complex name, subunit composition, function as well as the literature reference that characterizes the respective protein complex.\n","abbreviation":"CORUM","data_curation":{"type":"not found"},"support_links":[{"url":"http://mips.helmholtz-muenchen.de/corum/#about","name":"About CORUM","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011272","name":"re3data:r3d100011272","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002254","name":"SciCrunch:RRID:SCR_002254","portal":"SciCrunch"}],"deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001340","bsg-d001340"],"name":"FAIRsharing record for: Comprehensive Resource of Mammalian protein complexes","abbreviation":"CORUM","url":"https://fairsharing.org/10.25504/FAIRsharing.ohbpNw","doi":"10.25504/FAIRsharing.ohbpNw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CORUM is a database that provides a manually curated repository of experimentally characterized protein complexes from mammalian organisms, mainly human (64%), mouse (16%) and rat (12%). Each protein complex is described by a protein complex name, subunit composition, function as well as the literature reference that characterizes the respective protein complex.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["Functional domain","Molecular function","Protein-containing complex"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2586,"pubmed_id":30357367,"title":"CORUM: the comprehensive resource of mammalian protein complexes-2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky973","authors":"Giurgiu M, Reinhard J, Brauner B, Dunger-Kaltenbach I, Fobo G, Frishman G, Montrone C, Ruepp A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky973","created_at":"2021-09-30T08:27:17.161Z","updated_at":"2021-09-30T08:27:17.161Z"}],"licence_links":[],"grants":[{"id":3585,"fairsharing_record_id":2839,"organisation_id":1237,"relation":"maintains","created_at":"2021-09-30T09:26:20.521Z","updated_at":"2021-09-30T09:26:20.521Z","grant_id":null,"is_lead":true,"saved_state":{"id":1237,"name":"Helmholtz Zentrum Munchen","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2840","type":"fairsharing_records","attributes":{"created_at":"2019-10-24T10:14:25.000Z","updated_at":"2023-12-15T10:32:31.392Z","metadata":{"doi":"10.25504/FAIRsharing.YmkBZX","name":"Pathogen-Host Interaction Data integration and Analysis System","status":"ready","contacts":[{"contact_name":"Yongqun \"Oliver\" He","contact_email":"yongqunh@med.umich.edu","contact_orcid":"0000-0001-9189-9661"}],"homepage":"http://www.phidias.us/index.php","citations":[{"doi":"10.1186/gb-2007-8-7-r150","pubmed_id":17663773,"publication_id":372}],"identifier":2840,"description":"PHIDIAS is a web-based database and analysis system that aims to manually curate, computationally analyze, and address different scientific issues in the areas of pathogen-host interactions (PHI, or called host-pathogen interactions or HPI). PHIDIAS has emphasized the study of those pathogens that cause various infectious diseases in humans and animals. The recently published Victors analysis program is a relatively independent system within the PHIDIAS database and analysis resource.","abbreviation":"PHIDIAS","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.phidias.us/faqs.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.phidias.us/docs/docs.php","name":"Documentation","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://www.phidias.us/pacodom/index.php","name":"Pacodom"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://phidias.us/datasubmission/index.php","type":"open","notes":"Free login is required for data submission."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001341","bsg-d001341"],"name":"FAIRsharing record for: Pathogen-Host Interaction Data integration and Analysis System","abbreviation":"PHIDIAS","url":"https://fairsharing.org/10.25504/FAIRsharing.YmkBZX","doi":"10.25504/FAIRsharing.YmkBZX","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PHIDIAS is a web-based database and analysis system that aims to manually curate, computationally analyze, and address different scientific issues in the areas of pathogen-host interactions (PHI, or called host-pathogen interactions or HPI). PHIDIAS has emphasized the study of those pathogens that cause various infectious diseases in humans and animals. The recently published Victors analysis program is a relatively independent system within the PHIDIAS database and analysis resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Life Science","Biomedical Science"],"domains":["Pathogen","Host","Curated information","Infection"],"taxonomies":["Bacteria","Brucella"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":372,"pubmed_id":17663773,"title":"PHIDIAS: a pathogen-host interaction data integration and analysis system.","year":2007,"url":"http://doi.org/10.1186/gb-2007-8-7-r150","authors":"Xiang Z,Tian Y,He Y","journal":"Genome Biol","doi":"10.1186/gb-2007-8-7-r150","created_at":"2021-09-30T08:22:59.999Z","updated_at":"2021-09-30T08:22:59.999Z"}],"licence_links":[{"licence_name":"PHIDIAS Disclaimer","licence_id":663,"licence_url":"http://www.phidias.us/disclaimer.php","link_id":1797,"relation":"undefined"}],"grants":[{"id":3586,"fairsharing_record_id":2840,"organisation_id":1230,"relation":"maintains","created_at":"2021-09-30T09:26:20.538Z","updated_at":"2021-09-30T09:26:20.538Z","grant_id":null,"is_lead":true,"saved_state":{"id":1230,"name":"He Group, University of Michigan Medical School, Ann Arbor, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3587,"fairsharing_record_id":2840,"organisation_id":3095,"relation":"funds","created_at":"2021-09-30T09:26:20.555Z","updated_at":"2021-09-30T09:26:20.555Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3588,"fairsharing_record_id":2840,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:20.571Z","updated_at":"2021-09-30T09:26:20.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2841","type":"fairsharing_records","attributes":{"created_at":"2019-10-24T12:03:26.000Z","updated_at":"2023-12-15T10:32:00.722Z","metadata":{"doi":"10.25504/FAIRsharing.c55071","name":"RIKEN Arabidopsis Genome Encyclopedia II","status":"ready","contacts":[{"contact_name":"RARGE Developers","contact_email":"rarge-master@psc.riken.jp"}],"homepage":"http://rarge-v2.psc.riken.jp/","citations":[{"doi":"10.1093/pcp/pct165","pubmed_id":24272250,"publication_id":2587}],"identifier":2841,"description":"RARGE II provides basic information about the Arabidopsis genome, such as information related to cDNA sequences and transposon insertion mutants. To create it, publicly available information for a total of 66,209 Arabidopsis mutant lines was used, including loss-of-function (RATM and TARAPPER) and gain-of-function (AtFOX and OsFOX) lines, as well as phenotype data gained through the mapping of descriptions onto Plant Ontology (PO) and Phenotypic Quality Ontology (PATO) terms.","abbreviation":"RARGE II","data_curation":{"type":"not found"},"support_links":[{"url":"tetsuya.sakurai@riken.jp","name":"Tetsuya Sakurai","type":"Support email"},{"url":"http://rarge-v2.psc.riken.jp/about","name":"About RARGE","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001342","bsg-d001342"],"name":"FAIRsharing record for: RIKEN Arabidopsis Genome Encyclopedia II","abbreviation":"RARGE II","url":"https://fairsharing.org/10.25504/FAIRsharing.c55071","doi":"10.25504/FAIRsharing.c55071","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RARGE II provides basic information about the Arabidopsis genome, such as information related to cDNA sequences and transposon insertion mutants. To create it, publicly available information for a total of 66,209 Arabidopsis mutant lines was used, including loss-of-function (RATM and TARAPPER) and gain-of-function (AtFOX and OsFOX) lines, as well as phenotype data gained through the mapping of descriptions onto Plant Ontology (PO) and Phenotypic Quality Ontology (PATO) terms.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Functional Genomics","Genomics","Life Science","Plant Genetics"],"domains":["Genome annotation","Mutation","Transposable element","Complementary DNA","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2587,"pubmed_id":24272250,"title":"RARGE II: an integrated phenotype database of Arabidopsis mutant traits using a controlled vocabulary.","year":2013,"url":"http://doi.org/10.1093/pcp/pct165","authors":"Akiyama K,Kurotani A,Iida K,Kuromori T,Shinozaki K,Sakurai T","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pct165","created_at":"2021-09-30T08:27:17.321Z","updated_at":"2021-09-30T08:27:17.321Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":1798,"relation":"undefined"},{"licence_name":"RARGE Disclaimer","licence_id":697,"licence_url":"http://rarge-v2.psc.riken.jp/disclaimer","link_id":1799,"relation":"undefined"}],"grants":[{"id":3590,"fairsharing_record_id":2841,"organisation_id":2446,"relation":"maintains","created_at":"2021-09-30T09:26:20.605Z","updated_at":"2021-09-30T09:26:20.605Z","grant_id":null,"is_lead":true,"saved_state":{"id":2446,"name":"RIKEN Center for Sustainable Resource Science, Yokohama, Japan","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3589,"fairsharing_record_id":2841,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:26:20.588Z","updated_at":"2021-09-30T09:29:49.341Z","grant_id":420,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"18700106","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2831","type":"fairsharing_records","attributes":{"created_at":"2019-09-24T18:19:15.000Z","updated_at":"2023-12-15T10:31:25.001Z","metadata":{"doi":"10.25504/FAIRsharing.3xwMon","name":"PathBank","status":"ready","contacts":[{"contact_name":"PathBank Team","contact_email":"pathbank@wishartlab.com"}],"homepage":"http://pathbank.org/","identifier":2831,"description":"PathBank is an interactive, visual database containing more than 100 000 machine-readable pathways found in model organisms such as humans, mice, E. coli, yeast, and Arabidopsis thaliana. The majority of these pathways are not found in any other pathway database. PathBank is designed specifically to support pathway elucidation and pathway discovery in metabolomics, transcriptomics, proteomics, and systems biology. All PathBank pathways include information on the relevant organelles, subcellular compartments, protein complex cofactors, protein complex locations, metabolite locations, chemical structures, and protein complex quaternary structures. The database is easily browsed and supports full text, sequence, and chemical structure searching.","abbreviation":"PathBank","data_curation":{"type":"not found"},"support_links":[{"url":"http://pathbank.org/pathwhiz/style_guide","name":"Pathway Style Guide","type":"Help documentation"},{"url":"http://pathbank.org/legend","name":"Pathway Legend","type":"Help documentation"},{"url":"http://pathbank.org/stats","name":"Statistics","type":"Help documentation"},{"url":"http://pathbank.org/about","name":"About PathBank","type":"Help documentation"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001331","bsg-d001331"],"name":"FAIRsharing record for: PathBank","abbreviation":"PathBank","url":"https://fairsharing.org/10.25504/FAIRsharing.3xwMon","doi":"10.25504/FAIRsharing.3xwMon","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PathBank is an interactive, visual database containing more than 100 000 machine-readable pathways found in model organisms such as humans, mice, E. coli, yeast, and Arabidopsis thaliana. The majority of these pathways are not found in any other pathway database. PathBank is designed specifically to support pathway elucidation and pathway discovery in metabolomics, transcriptomics, proteomics, and systems biology. All PathBank pathways include information on the relevant organelles, subcellular compartments, protein complex cofactors, protein complex locations, metabolite locations, chemical structures, and protein complex quaternary structures. The database is easily browsed and supports full text, sequence, and chemical structure searching.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12853}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Endocrinology","Molecular biology","Animal Genetics","Cheminformatics","Bioinformatics","Genetics","Proteomics","Drug Metabolism","Human Genetics","Molecular Microbiology","Metabolomics","Transcriptomics","Cell Biology","Database Management","Microbiology","Biology","Systems Biology","Medical Informatics","Plant Genetics"],"domains":["Protein name","Protein structure","Gene name","Drug name","Reaction data","Protein interaction","Drug","Metabolite","Catalytic activity","Glucose metabolic process","Regulation of gene expression","Drug metabolic process","Signaling","Enzymatic reaction","Receptor","High-throughput screening","Drug interaction","Enzyme","Disease","Protein","Pathway model","Gene","Amino acid sequence","Genetic disorder"],"taxonomies":["Arabidopsis thaliana","Bos taurus","Caenorhabditis elegans","Drosophila melanogaster","Escherichia coli","Homo sapiens","Mus musculus","Pseudomonas aeruginosa","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":["Drug Target","Pathway Diagram"],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":1228,"relation":"undefined"}],"grants":[{"id":3562,"fairsharing_record_id":2831,"organisation_id":3011,"relation":"maintains","created_at":"2021-09-30T09:26:20.046Z","updated_at":"2021-09-30T09:26:20.046Z","grant_id":null,"is_lead":true,"saved_state":{"id":3011,"name":"University of Alberta, Canada","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2832","type":"fairsharing_records","attributes":{"created_at":"2019-10-18T08:06:40.000Z","updated_at":"2024-04-09T10:38:08.111Z","metadata":{"doi":"10.25504/FAIRsharing.0Hsbor","name":"A database for spatially resolved transcriptomes","status":"ready","contacts":[{"contact_name":"CHEN, Xiaowei","contact_email":"chenxiaowei@ibp.ac.cn"}],"homepage":"http://www.spatialomics.org/SpatialDB/","citations":[],"identifier":2832,"description":"Spatially resolved transcriptomics providing gene expression profiles with positional information is key to tissue function and fundamental to disease pathology. SpatialDB is the first public database that specifically curates spatially resolved transcriptomic data from published papers, aiming to provide a comprehensive and accurate resource of spatial gene expression profiles in tissues. Currently, SpatialDB contains detailed information of 24 datasets generated by 8 spatially resolved transcriptomic techniques. SpatialDB allows users to browse the spatial gene expression profile of all the 8 techniques online and compare the spatial gene expression profile of any two datasets generated by the same or different techniques side by side. It provides spatially variable (SV) genes identified by SpatialDE and trendsceek, as well as functional enrichment annotation of SV genes.","abbreviation":"SpatialDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.spatialomics.org/SpatialDB/help.php","name":"Help Pages","type":"Help documentation"},{"url":"http://www.spatialomics.org/SpatialDB/about.php","name":"About","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.spatialomics.org/SpatialDB/upload.php","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001333","bsg-d001333"],"name":"FAIRsharing record for: A database for spatially resolved transcriptomes","abbreviation":"SpatialDB","url":"https://fairsharing.org/10.25504/FAIRsharing.0Hsbor","doi":"10.25504/FAIRsharing.0Hsbor","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Spatially resolved transcriptomics providing gene expression profiles with positional information is key to tissue function and fundamental to disease pathology. SpatialDB is the first public database that specifically curates spatially resolved transcriptomic data from published papers, aiming to provide a comprehensive and accurate resource of spatial gene expression profiles in tissues. Currently, SpatialDB contains detailed information of 24 datasets generated by 8 spatially resolved transcriptomic techniques. SpatialDB allows users to browse the spatial gene expression profile of all the 8 techniques online and compare the spatial gene expression profile of any two datasets generated by the same or different techniques side by side. It provides spatially variable (SV) genes identified by SpatialDE and trendsceek, as well as functional enrichment annotation of SV genes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12854}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Transcriptomics"],"domains":["Expression data","Gene functional annotation","Tissue"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":3564,"fairsharing_record_id":2832,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:26:20.097Z","updated_at":"2021-09-30T09:30:20.988Z","grant_id":669,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31871307","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8197,"fairsharing_record_id":2832,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:27.814Z","updated_at":"2021-09-30T09:31:27.870Z","grant_id":1180,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31801072","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8296,"fairsharing_record_id":2832,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:31:57.615Z","updated_at":"2021-09-30T09:31:57.668Z","grant_id":1406,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"31701122","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3563,"fairsharing_record_id":2832,"organisation_id":244,"relation":"maintains","created_at":"2021-09-30T09:26:20.073Z","updated_at":"2021-09-30T09:26:20.073Z","grant_id":null,"is_lead":true,"saved_state":{"id":244,"name":"Bioinformatics Laboratory, Institute of Biophysics, Chinese Academy of Sciences (CAS), Beijing, China","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2833","type":"fairsharing_records","attributes":{"created_at":"2019-09-25T19:55:03.000Z","updated_at":"2024-03-21T13:58:55.098Z","metadata":{"doi":"10.25504/FAIRsharing.PD1PEt","name":"Blackfynn Discover","status":"deprecated","contacts":[{"contact_name":"joost Wagenaar","contact_email":"joost@blackfynn.com","contact_orcid":"0000-0003-0837-7120"}],"homepage":"https://discover.blackfynn.com","citations":[],"identifier":2833,"description":"Blackfynn Discover is a public resource for accessing large public Neuroscience datasets. Blackfynn Discover was developed through grants from the NIH NIDA, NIH CommonFund, DARPA, and others to provide a sustainable solution for fostering collaboration in the Neurosciences.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://www.blackfynn.com/contact/","name":"Blackfynn Contact Form","type":"Contact form"},{"url":"https://help.blackfynn.com","name":"Blackfynn Help Center","type":"Help documentation"},{"url":"https://www.blackfynn.com/about/","name":"About Blackfynn","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://developer.blackfynn.io/python/latest/index.html","name":"Python Client"},{"url":"https://developer.blackfynn.io/matlab/index.html","name":"MATLAB Client"},{"url":"https://developer.blackfynn.io/agent/index.html","name":"Command Line Interface"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013148","name":"re3data:r3d100013148","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018068","name":"SciCrunch:RRID:SCR_018068","portal":"SciCrunch"}],"deprecation_date":"2022-07-14","deprecation_reason":"The resource homepage is no longer available, and no suitable replacement can be found. Please get in touch with us if you have more information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001334","bsg-d001334"],"name":"FAIRsharing record for: Blackfynn Discover","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.PD1PEt","doi":"10.25504/FAIRsharing.PD1PEt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Blackfynn Discover is a public resource for accessing large public Neuroscience datasets. Blackfynn Discover was developed through grants from the NIH NIDA, NIH CommonFund, DARPA, and others to provide a sustainable solution for fostering collaboration in the Neurosciences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neuroscience"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1040,"pubmed_id":26044858,"title":"Data integration: Combined imaging and electrophysiology data in the cloud.","year":2015,"url":"http://doi.org/S1053-8119(15)00465-6","authors":"Kini LG,Davis KA,Wagenaar JB","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2015.05.075","created_at":"2021-09-30T08:24:15.147Z","updated_at":"2021-09-30T08:24:15.147Z"},{"id":2547,"pubmed_id":26035676,"title":"Collaborating and sharing data in epilepsy research.","year":2015,"url":"http://doi.org/10.1097/WNP.0000000000000159","authors":"Wagenaar JB,Worrell GA,Ives Z,Dumpelmann M,Litt B,Schulze-Bonhage A","journal":"J Clin Neurophysiol","doi":"10.1097/WNP.0000000000000159","created_at":"2021-09-30T08:27:12.309Z","updated_at":"2021-09-30T08:27:12.309Z"}],"licence_links":[{"licence_name":"Blackfynn Terms of Use","licence_id":83,"licence_url":"https://www.blackfynn.com/legal/terms/","link_id":827,"relation":"undefined"},{"licence_name":"Community Data License Agreement - Permissive, Version 1.0 (CDLA-Permissive-1.0)","licence_id":143,"licence_url":"https://cdla.io/permissive-1-0/","link_id":708,"relation":"undefined"},{"licence_name":"Community Data License Agreement - Sharing, Version 1.0 (CDLA-Sharing-1.0)","licence_id":144,"licence_url":"https://cdla.io/sharing-1-0/","link_id":725,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":749,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":760,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":742,"relation":"undefined"},{"licence_name":"Open Data Commons Attribution License (ODC-BY)","licence_id":619,"licence_url":"http://opendatacommons.org/licenses/by/1.0/","link_id":731,"relation":"undefined"},{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":740,"relation":"undefined"},{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":727,"relation":"undefined"}],"grants":[{"id":3565,"fairsharing_record_id":2833,"organisation_id":2159,"relation":"funds","created_at":"2021-09-30T09:26:20.122Z","updated_at":"2021-09-30T09:26:20.122Z","grant_id":null,"is_lead":false,"saved_state":{"id":2159,"name":"NIH","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3566,"fairsharing_record_id":2833,"organisation_id":286,"relation":"maintains","created_at":"2021-09-30T09:26:20.147Z","updated_at":"2021-09-30T09:26:20.147Z","grant_id":null,"is_lead":true,"saved_state":{"id":286,"name":"Blackfynn Inc.","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3567,"fairsharing_record_id":2833,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:26:20.173Z","updated_at":"2021-09-30T09:32:16.062Z","grant_id":1541,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"NIH 5R44DA044929-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11557,"fairsharing_record_id":2833,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:54.583Z","updated_at":"2024-03-21T13:58:55.036Z","grant_id":1115,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"NIH 3OT3OD025347-01S2","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2812","type":"fairsharing_records","attributes":{"created_at":"2019-07-31T21:51:58.000Z","updated_at":"2023-12-15T10:31:52.833Z","metadata":{"doi":"10.25504/FAIRsharing.278768","name":"coastMap","status":"ready","contacts":[{"contact_name":"Kay-Christian Emeis","contact_email":"kay.emeis@hzg.de","contact_orcid":"0000-0003-0459-913X"}],"homepage":"https://www.hereon.de/institutes/carbon_cycles/data_coastal_research/coastmap/index.php.en","citations":[],"identifier":2812,"description":"coastMap is a collection of data based on the observations of the seafloor and water conditions and atmosphere of mainly the North Sea. This information can be used for analysis and modelling by researchers.","abbreviation":"coastMap","data_curation":{"type":"not found"},"support_links":[{"url":"marcus.lange@hzg.de","name":"Marcus Lange (Scientific Coordination, Website)","type":"Support email"},{"url":"https://www.hereon.de/institutes/carbon_cycles/data_coastal_research/coastmap/data/tutorials/index.php.en","name":"Tutorials","type":"Help documentation"}],"data_versioning":"no","associated_tools":[{"url":"https://www.wdc-climate.de/ui/entry?acronym=TRIM-NP-2d-PCA_ResCurr","name":"Residual Currents in the North Sea"},{"url":"https://hcdc.hzg.de/drift-now/","name":"Drift App"},{"url":"https://hcdc.hzg.de/bn-oil-dispersion/","name":"Oil Drift"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012648","name":"re3data:r3d100012648","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001311","bsg-d001311"],"name":"FAIRsharing record for: coastMap","abbreviation":"coastMap","url":"https://fairsharing.org/10.25504/FAIRsharing.278768","doi":"10.25504/FAIRsharing.278768","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: coastMap is a collection of data based on the observations of the seafloor and water conditions and atmosphere of mainly the North Sea. This information can be used for analysis and modelling by researchers.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Environmental Science","Geology","Marine Biology","Atmospheric Science","Oceanography"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment","Sedimentology"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"coastMap Disclaimer","licence_id":140,"licence_url":"https://www.hzg.de/imperia/md/images/coastmap/coastmap_disclaimer.pdf","link_id":945,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":943,"relation":"undefined"},{"licence_name":"Helmholtz-Zentrum Geesthacht Data Privacy","licence_id":386,"licence_url":"https://www.hzg.de/public_relations_media/imprint/privacy_policy/index.php.en","link_id":942,"relation":"undefined"}],"grants":[{"id":3515,"fairsharing_record_id":2812,"organisation_id":1236,"relation":"maintains","created_at":"2021-09-30T09:26:18.690Z","updated_at":"2021-09-30T09:26:18.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":1236,"name":"Helmholtz-Zentrum Geesthacht (HZG), Germany","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2813","type":"fairsharing_records","attributes":{"created_at":"2019-07-31T22:43:08.000Z","updated_at":"2023-12-15T10:32:24.894Z","metadata":{"doi":"10.25504/FAIRsharing.cd40d1","name":"Copernicus Space Component Data Access","status":"ready","contacts":[{"contact_name":"General Support","contact_email":"EOSupport@copernicus.esa.int"}],"homepage":"https://spacedata.copernicus.eu","identifier":2813,"description":"The CSCDA portal is the access point to information collected on Land, Marine, environmental as well as emergency and security data by the European Union using space component data.","abbreviation":"CSCDA","data_curation":{"type":"none"},"support_links":[{"url":"https://spacedata.copernicus.eu/web/cscda/blogs/-/blogs/","name":"Latest news","type":"Blog/News"},{"url":"https://spacedata.copernicus.eu/web/cscda/faqs","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://spacedata.copernicus.eu/web/cscda/copernicus-users/users-feedback","name":"User feedback","type":"Help documentation"},{"url":"https://spacedata.copernicus.eu/web/cscda/explore-more/document-library","name":"Document Library","type":"Help documentation"},{"url":"https://twitter.com/CopernicusData","name":"Twitter","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011048","name":"re3data:r3d100011048","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001312","bsg-d001312"],"name":"FAIRsharing record for: Copernicus Space Component Data Access","abbreviation":"CSCDA","url":"https://fairsharing.org/10.25504/FAIRsharing.cd40d1","doi":"10.25504/FAIRsharing.cd40d1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CSCDA portal is the access point to information collected on Land, Marine, environmental as well as emergency and security data by the European Union using space component data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Earth Science","Atmospheric Science","Oceanography","Physical Geography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Geological mapping"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"CSCDA Legal Documents","licence_id":203,"licence_url":"https://spacedata.copernicus.eu/web/cscda/data-offer/legal-documents","link_id":1454,"relation":"undefined"}],"grants":[{"id":3516,"fairsharing_record_id":2813,"organisation_id":957,"relation":"maintains","created_at":"2021-09-30T09:26:18.770Z","updated_at":"2021-09-30T09:26:18.770Z","grant_id":null,"is_lead":true,"saved_state":{"id":957,"name":"European Space Agency","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3517,"fairsharing_record_id":2813,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:18.807Z","updated_at":"2021-09-30T09:29:16.878Z","grant_id":174,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7/2007-2013","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2817","type":"fairsharing_records","attributes":{"created_at":"2019-08-14T09:54:55.000Z","updated_at":"2023-06-23T16:16:30.843Z","metadata":{"doi":"10.25504/FAIRsharing.d36c2c","name":"OpenML","status":"ready","contacts":[],"homepage":"https://www.openml.org/","citations":[],"identifier":2817,"description":"The Open Machine Learning project is an inclusive movement to build an open, organized, online ecosystem for machine learning. We build open source tools to discover (and share) open data from any domain, easily draw them into your favourite machine learning environments, quickly build models alongside (and together with) thousands of other data scientists, analyse your results against the state of the art, and even get automatic advice on how to build better models","abbreviation":"OpenML","data_curation":{"type":"automated"},"support_links":[{"url":"https://docs.openml.org/","name":"Help documentation","type":"Help documentation"},{"url":"https://docs.openml.org/OpenML_definition/","name":"OpenML Definition","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011098","name":"re3data:r3d100011098","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://docs.openml.org/Contributing/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001316","bsg-d001316"],"name":"FAIRsharing record for: OpenML","abbreviation":"OpenML","url":"https://fairsharing.org/10.25504/FAIRsharing.d36c2c","doi":"10.25504/FAIRsharing.d36c2c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Open Machine Learning project is an inclusive movement to build an open, organized, online ecosystem for machine learning. We build open source tools to discover (and share) open data from any domain, easily draw them into your favourite machine learning environments, quickly build models alongside (and together with) thousands of other data scientists, analyse your results against the state of the art, and even get automatic advice on how to build better models","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Mining","Subject Agnostic"],"domains":["Machine learning"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","Netherlands","Portugal"],"publications":[{"id":3357,"pubmed_id":null,"title":"OpenML-Python: an extensible Python API for OpenML","year":2019,"url":"https://doi.org/10.48550/arXiv.1911.02490","authors":"Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter","journal":"arXiv preprint","doi":"https://doi.org/10.48550/arXiv.1911.02490","created_at":"2022-05-09T22:08:10.619Z","updated_at":"2022-05-09T22:11:51.914Z"},{"id":3358,"pubmed_id":null,"title":"OpenML: networked science in machine learning","year":2014,"url":"https://doi.org/10.1145/2641190.2641198","authors":"Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luis Torgo","journal":"arXiv preprint","doi":"https://doi.org/10.1145/2641190.2641198","created_at":"2022-05-09T22:10:52.586Z","updated_at":"2022-05-09T22:13:12.036Z"},{"id":3359,"pubmed_id":null,"title":"OpenML: An R package to connect to the machine learning platform OpenML","year":2017,"url":"http://dx.doi.org/10.1007/s00180-017-0742-2","authors":"Casalicchio, Giuseppe; Bossek, Jakob; Lang, Michel; Kirchhoff, Dominik; Kerschke, Pascal; Hofner, Benjamin; Seibold, Heidi; Vanschoren, Joaquin; Bischl, Bernd; ","journal":"Comput Stat","doi":"10.1007/s00180-017-0742-2","created_at":"2022-05-09T22:18:34.934Z","updated_at":"2022-05-09T22:18:34.934Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2684,"relation":"applies_to_content"}],"grants":[{"id":3524,"fairsharing_record_id":2817,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:26:19.024Z","updated_at":"2021-09-30T09:26:19.024Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3525,"fairsharing_record_id":2817,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:26:19.057Z","updated_at":"2021-09-30T09:26:19.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2822","type":"fairsharing_records","attributes":{"created_at":"2019-09-16T11:33:22.000Z","updated_at":"2023-12-15T10:33:13.962Z","metadata":{"doi":"10.25504/FAIRsharing.SrP8P7","name":"Dynamic Ecological Information Management System - Site and Dataset Registry","status":"ready","contacts":[{"contact_name":"Christoph Wohner","contact_email":"christoph.wohner@umweltbundesamt.at","contact_orcid":"0000-0002-0655-3699"}],"homepage":"https://deims.org","citations":[{"publication_id":2563}],"identifier":2822,"description":"DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry) is an information management system for the discovery of long-term environmental research and monitoring facilities around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR includes metadata such as site location, ecosystem, facilities, parameters measured and research themes.","abbreviation":"DEIMS-SDR","data_curation":{"url":"https://eidc.ac.uk/support/dataManagement","type":"manual/automated"},"support_links":[{"url":"https://deims.org/contact","name":"Contact Form","type":"Help documentation"},{"url":"https://deims.org/docs/","name":"Documentation","type":"Help documentation"},{"url":"https://deims.org/models","name":"View Metadata Models","type":"Help documentation"},{"url":"https://deims.org/about","name":"About","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012910","name":"re3data:r3d100012910","portal":"re3data"}],"data_access_condition":{"url":"https://deims.org/about","type":"controlled"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://eidc.ac.uk/support/dataManagement","name":"Preservation plan"},"data_deposition_condition":{"url":"https://deims.org/about","type":"controlled","notes":"A message must be written to obtain an user account."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001321","bsg-d001321"],"name":"FAIRsharing record for: Dynamic Ecological Information Management System - Site and Dataset Registry","abbreviation":"DEIMS-SDR","url":"https://fairsharing.org/10.25504/FAIRsharing.SrP8P7","doi":"10.25504/FAIRsharing.SrP8P7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry) is an information management system for the discovery of long-term environmental research and monitoring facilities around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR includes metadata such as site location, ecosystem, facilities, parameters measured and research themes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Ecology","Ecosystem Science"],"domains":["Geographical location","Ecosystem","Monitoring"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":2563,"pubmed_id":null,"title":"DEIMS-SDR – A web portal to document research sites and their associated data.","year":2019,"url":"https://doi.org/10.1016/j.ecoinf.2019.01.005","authors":"Wohner, C., Peterseil, J., Poursanidis, D., Kliment, T., Wilson, M., Mirtl, M., \u0026 Chrysoulakis, N.","journal":"Ecological Informatics","doi":null,"created_at":"2021-09-30T08:27:14.328Z","updated_at":"2021-09-30T08:27:14.328Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2152,"relation":"undefined"},{"licence_name":"DEIMS-SDR Terms of Use","licence_id":232,"licence_url":"https://deims.org/terms","link_id":2153,"relation":"undefined"}],"grants":[{"id":3535,"fairsharing_record_id":2822,"organisation_id":1727,"relation":"maintains","created_at":"2021-09-30T09:26:19.354Z","updated_at":"2021-09-30T09:26:19.354Z","grant_id":null,"is_lead":false,"saved_state":{"id":1727,"name":"Long-Term Ecosystem Research in Europe (eLTER), Austria","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3537,"fairsharing_record_id":2822,"organisation_id":864,"relation":"funds","created_at":"2021-09-30T09:26:19.405Z","updated_at":"2021-09-30T09:26:19.405Z","grant_id":null,"is_lead":false,"saved_state":{"id":864,"name":"ENVeurope, Italy","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3540,"fairsharing_record_id":2822,"organisation_id":871,"relation":"funds","created_at":"2021-09-30T09:26:19.480Z","updated_at":"2021-09-30T09:26:19.480Z","grant_id":null,"is_lead":false,"saved_state":{"id":871,"name":"ENVRIplus, Finland","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3534,"fairsharing_record_id":2822,"organisation_id":461,"relation":"maintains","created_at":"2021-09-30T09:26:19.331Z","updated_at":"2021-09-30T09:26:19.331Z","grant_id":null,"is_lead":false,"saved_state":{"id":461,"name":"Centre for Ecology and Hydrology (CEH), Swindon, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3536,"fairsharing_record_id":2822,"organisation_id":1727,"relation":"funds","created_at":"2021-09-30T09:26:19.379Z","updated_at":"2021-09-30T09:26:19.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":1727,"name":"Long-Term Ecosystem Research in Europe (eLTER), Austria","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3538,"fairsharing_record_id":2822,"organisation_id":886,"relation":"funds","created_at":"2021-09-30T09:26:19.431Z","updated_at":"2021-09-30T09:26:19.431Z","grant_id":null,"is_lead":false,"saved_state":{"id":886,"name":"EUDAT","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3539,"fairsharing_record_id":2822,"organisation_id":823,"relation":"funds","created_at":"2021-09-30T09:26:19.455Z","updated_at":"2021-09-30T09:26:19.455Z","grant_id":null,"is_lead":false,"saved_state":{"id":823,"name":"Ecopotential","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3541,"fairsharing_record_id":2822,"organisation_id":976,"relation":"funds","created_at":"2021-09-30T09:26:19.516Z","updated_at":"2021-09-30T09:26:19.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":976,"name":"ExpeER","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2824","type":"fairsharing_records","attributes":{"created_at":"2019-08-27T18:57:15.000Z","updated_at":"2024-04-09T09:16:20.260Z","metadata":{"doi":"10.25504/FAIRsharing.SnTbUa","name":"MAR databases","status":"ready","contacts":[{"contact_name":"Nils Peder Willassen","contact_email":"nils-peder.willassen@uit.no","contact_orcid":"0000-0002-4397-8020"},{"contact_name":"Eirin Calhoun","contact_email":"erin.calhoun@uit.no","contact_orcid":null}],"homepage":"https://mmp2.sfb.uit.no/databases/","citations":[{"doi":"10.1093/nar/gkx1036","pubmed_id":29106641,"publication_id":2562}],"identifier":2824,"description":"The MAR databases is a collection of manually curated marine microbial contextual and sequence databases, based at the Marine Metagenomics Portal. This was developed as a part of the ELIXIR EXCELERATE project in 2017 and is maintained by The Center for Bioinformatics (SfB) at the UiT The Arctic University of Norway. SfB is hosting the UiT node of ELIXIR Norway. The MarRef, MarDb, MarFun and MarCat contextual databases are built by compiling data from a number of public available sequence, taxonomy and literature databases in a semi-automatic fashion.","abbreviation":"MAR","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://mmp2.sfb.uit.no/terms-of-use/","name":"Terms of use","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","associated_tools":[{"url":"https://mmp2.sfb.uit.no/metapipe/","name":"META-pipe"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001323","bsg-d001323"],"name":"FAIRsharing record for: MAR databases","abbreviation":"MAR","url":"https://fairsharing.org/10.25504/FAIRsharing.SnTbUa","doi":"10.25504/FAIRsharing.SnTbUa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The MAR databases is a collection of manually curated marine microbial contextual and sequence databases, based at the Marine Metagenomics Portal. This was developed as a part of the ELIXIR EXCELERATE project in 2017 and is maintained by The Center for Bioinformatics (SfB) at the UiT The Arctic University of Norway. SfB is hosting the UiT node of ELIXIR Norway. The MarRef, MarDb, MarFun and MarCat contextual databases are built by compiling data from a number of public available sequence, taxonomy and literature databases in a semi-automatic fashion.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Metagenomics","Genomics","Marine Biology"],"domains":["DNA sequence data","Genome annotation","Marine environment","Marine metagenome","Metagenome"],"taxonomies":["Bacteria","Fungi"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":2562,"pubmed_id":29106641,"title":"The MAR databases: development and implementation of databases specific for marine metagenomics","year":2017,"url":"http://doi.org/10.1093/nar/gkx1036","authors":"Klemetsen T, Raknes IA, Fu J, Agafonov A, Balasundaram SV, Tartari G, Robertsen E, Willassen NP","journal":"NAR","doi":"10.1093/nar/gkx1036","created_at":"2021-09-30T08:27:14.220Z","updated_at":"2021-09-30T08:27:14.220Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":331,"relation":"undefined"}],"grants":[{"id":3545,"fairsharing_record_id":2824,"organisation_id":2891,"relation":"maintains","created_at":"2021-09-30T09:26:19.613Z","updated_at":"2021-09-30T09:26:19.613Z","grant_id":null,"is_lead":true,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3547,"fairsharing_record_id":2824,"organisation_id":846,"relation":"funds","created_at":"2021-09-30T09:26:19.664Z","updated_at":"2021-09-30T09:29:00.581Z","grant_id":52,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","grant":"270068","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3548,"fairsharing_record_id":2824,"organisation_id":846,"relation":"maintains","created_at":"2021-09-30T09:26:19.687Z","updated_at":"2021-09-30T09:26:19.687Z","grant_id":null,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3543,"fairsharing_record_id":2824,"organisation_id":1262,"relation":"funds","created_at":"2021-09-30T09:26:19.564Z","updated_at":"2021-09-30T09:29:17.560Z","grant_id":180,"is_lead":false,"saved_state":{"id":1262,"name":"Horizon 2020 Programme of the European Union - EMBRIC","grant":"654008","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3544,"fairsharing_record_id":2824,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:26:19.589Z","updated_at":"2021-09-30T09:31:00.384Z","grant_id":975,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"208481","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11588,"fairsharing_record_id":2824,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:17.992Z","updated_at":"2024-03-21T13:59:18.383Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2825","type":"fairsharing_records","attributes":{"created_at":"2019-09-19T14:57:20.000Z","updated_at":"2022-07-20T13:20:07.616Z","metadata":{"doi":"10.25504/FAIRsharing.O7UKUm","name":"Heart Diseases related Noncoding RNA Database","status":"deprecated","contacts":[{"contact_name":"Li Li","contact_email":"lilirz@tongji.edu.cn"}],"homepage":"http://hdncrna.cardiacdev.com","citations":[{"doi":"10.1093/database/bay067.","pubmed_id":30053237,"publication_id":2568}],"identifier":2825,"description":"The Heart Disease-related Non-coding RNAs Database (HDncRNA) provides information about common heart diseases and their related noncoding RNAs. The HDncRNA database contains manually annotated associations of ncRNAs with heart disease. Sources of data in this database are published articles, ncRNA databases and public RNA-seq datasets.","abbreviation":"HDncRNA","data_curation":{"type":"not found"},"support_links":[{"url":"https://hdncrna.cardiacdev.com/pages/help.html","name":"Help Manual","type":"Help documentation"},{"url":"https://hdncrna.cardiacdev.com/pages/about.html","name":"About","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","deprecation_date":"2021-9-21","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001325","bsg-d001325"],"name":"FAIRsharing record for: Heart Diseases related Noncoding RNA Database","abbreviation":"HDncRNA","url":"https://fairsharing.org/10.25504/FAIRsharing.O7UKUm","doi":"10.25504/FAIRsharing.O7UKUm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Heart Disease-related Non-coding RNAs Database (HDncRNA) provides information about common heart diseases and their related noncoding RNAs. The HDncRNA database contains manually annotated associations of ncRNAs with heart disease. Sources of data in this database are published articles, ncRNA databases and public RNA-seq datasets.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12849}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Genetics","Life Science"],"domains":["Expression data","Gene expression","RNA sequencing","Non-coding RNA","Long non-coding RNA","Heart","Cardiovascular disease"],"taxonomies":["Bos taurus","Canis lupus","Homo sapiens","Mus musculus","Rattus norvegicus","Sus scrofa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2568,"pubmed_id":30053237,"title":"HDncRNA: a comprehensive database of non-coding RNAs associated with heart diseases.","year":2018,"url":"http://doi.org/10.1093/database/bay067","authors":"Wang WJ,Wang YM,Hu Y,Lin Q,Chen R,Liu H,Cao WZ,Zhu HF,Tong C,Li L,Peng LY","journal":"Database (Oxford)","doi":"10.1093/database/bay067.","created_at":"2021-09-30T08:27:14.912Z","updated_at":"2021-09-30T08:27:14.912Z"}],"licence_links":[],"grants":[{"id":3550,"fairsharing_record_id":2825,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:26:19.739Z","updated_at":"2021-09-30T09:26:19.739Z","grant_id":null,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3551,"fairsharing_record_id":2825,"organisation_id":2866,"relation":"maintains","created_at":"2021-09-30T09:26:19.764Z","updated_at":"2021-09-30T09:26:19.764Z","grant_id":null,"is_lead":true,"saved_state":{"id":2866,"name":"Tongji University School of Medicine, Shanghai, China","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9311,"fairsharing_record_id":2825,"organisation_id":2053,"relation":"funds","created_at":"2022-04-11T12:07:29.551Z","updated_at":"2022-04-11T12:07:29.567Z","grant_id":343,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","grant":"81670208","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2829","type":"fairsharing_records","attributes":{"created_at":"2019-09-09T13:25:20.000Z","updated_at":"2022-07-20T12:19:54.522Z","metadata":{"doi":"10.25504/FAIRsharing.ANR6qz","name":"BIOchemical PathwaY DataBase","status":"deprecated","contacts":[{"contact_name":"Ram Rup Sarkar","contact_email":"rr.sarkar@ncl.res.in","contact_orcid":"0000-0001-7115-163X"}],"homepage":"http://biopydb.ncl.res.in/biopydb/index.php","citations":[{"doi":"10.1515/jib-2017-0072","pubmed_id":29547394,"publication_id":2560}],"identifier":2829,"description":"BIOPYDB is a manually-curated database of human cell specific biochemical pathway data. The information within BIOPYDB is primarily extracted from published scientific literature and a selection of databases. The reconstructed pathways contain information about proteins, protein complexes, inorganic molecules, mutated and onco-proteins of signalling, disease and immunological pathways. Every molecule and interaction listed in the database contains at least one reference in a peer reviewed journal.","abbreviation":"BIOPYDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://biopydb.ncl.res.in/biopydb/contactform.html","name":"Feedback Form","type":"Contact form"},{"url":"biopydb@gmail.com","name":"General contact","type":"Support email"},{"url":"http://biopydb.ncl.res.in/biopydb/FAQ.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"http://biopydb.ncl.res.in/biopydb/ode_analysis.php","name":"Dynamic Analysis using ODEs"},{"url":"http://biopydb.ncl.res.in/boolean_app/index.php","name":"Logical Analysis"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001329","bsg-d001329"],"name":"FAIRsharing record for: BIOchemical PathwaY DataBase","abbreviation":"BIOPYDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ANR6qz","doi":"10.25504/FAIRsharing.ANR6qz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BIOPYDB is a manually-curated database of human cell specific biochemical pathway data. The information within BIOPYDB is primarily extracted from published scientific literature and a selection of databases. The reconstructed pathways contain information about proteins, protein complexes, inorganic molecules, mutated and onco-proteins of signalling, disease and immunological pathways. Every molecule and interaction listed in the database contains at least one reference in a peer reviewed journal.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biochemistry","Proteomics","Life Science"],"domains":["Computational biological predictions","Signaling","Protein-containing complex","Mutation","High-throughput screening","Curated information","Disease","Biocuration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":2560,"pubmed_id":29547394,"title":"BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform.","year":2018,"url":"http://doi.org/10.1515/jib-2017-0072","authors":"Chowdhury S,Sinha N,Ganguli P,Bhowmick R,Singh V,Nandi S,Sarkar RR","journal":"J Integr Bioinform","doi":"10.1515/jib-2017-0072","created_at":"2021-09-30T08:27:14.003Z","updated_at":"2021-09-30T08:27:14.003Z"}],"licence_links":[],"grants":[{"id":3559,"fairsharing_record_id":2829,"organisation_id":499,"relation":"maintains","created_at":"2021-09-30T09:26:19.972Z","updated_at":"2021-09-30T09:26:19.972Z","grant_id":null,"is_lead":true,"saved_state":{"id":499,"name":"Chemical Engineering and Processing Development (CEPD), CSIR-National Chemical Laboratory, Pune, India","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3557,"fairsharing_record_id":2829,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:26:19.923Z","updated_at":"2021-09-30T09:31:35.542Z","grant_id":1239,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","grant":"10.13039/501100001412 (BSC0114)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8458,"fairsharing_record_id":2829,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:32:43.735Z","updated_at":"2021-09-30T09:32:43.791Z","grant_id":1751,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","grant":"10.13039/501100001412 (BSC0121)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3558,"fairsharing_record_id":2829,"organisation_id":2550,"relation":"funds","created_at":"2021-09-30T09:26:19.950Z","updated_at":"2021-09-30T09:32:04.620Z","grant_id":1457,"is_lead":false,"saved_state":{"id":2550,"name":"SERB, Ministry of Science and Technology, Government of India","grant":"Funder Id: 10.13039/501100001843 - No. EMR/2016/000516","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2843","type":"fairsharing_records","attributes":{"created_at":"2019-11-19T13:55:56.000Z","updated_at":"2023-12-15T10:29:05.312Z","metadata":{"doi":"10.25504/FAIRsharing.2c9d3c","name":"Mouse Models of Human Cancer Database","status":"ready","contacts":[{"contact_name":"CJ Bult","contact_email":"carol.bult@jax.org"}],"homepage":"http://tumor.informatics.jax.org/mtbwi/index.do","citations":[{"doi":"10.1158/0008-5472.CAN-17-0584","pubmed_id":29092943,"publication_id":2628}],"identifier":2843,"description":"The Mouse Tumor Biology (MTB) Database supports the use of the mouse as a model system of human cancers by providing access to information on and data for: spontaneous and induced tumors in mice, genetically defined mice (inbred, hybrid, mutant, and genetically engineered strains of mice) in which tumors arise, genetic factors associated with tumor susceptibility in mice, somatic genetic-mutations observed in tumors, and Patient Derived Xenograft (PDX) models.","abbreviation":"MMHCdb","data_curation":{"url":"https://tumor.informatics.jax.org/mtbwi/index.do","type":"manual","notes":"MMHCdb is a comprehensive, expertly curated resource"},"support_links":[{"url":"http://tumor.informatics.jax.org/mtbwi/userHelp.jsp","name":"Help Pages","type":"Help documentation"},{"url":"http://tumor.informatics.jax.org/mtbwi/news-events.jsp","type":"Blog/News"},{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","type":"Contact form"},{"url":"https://www.github.com/mgijax/mtb-wi","name":"MMHCdb Web Interface","type":"Github"},{"url":"https://www.github.com/mgijax/mtb-dao","name":"MMHCdb Data Layer","type":"Github"},{"url":"http://www.informatics.jax.org/mgihome/support/mgi_inbox.shtml","name":"MMHCdb Web interface","type":"Github"},{"url":"http://www.informatics.jax.org/mgihome/lists/lists.shtml","type":"Forum"}],"year_creation":1998,"data_versioning":"no","associated_tools":[{"url":"http://tumor.informatics.jax.org/mtbwi/dynamicGrid.do","name":"Dynamic Tumor Frequency Grid"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011907","name":"re3data:r3d100011907","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006517","name":"SciCrunch:RRID:SCR_006517","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://tumor.informatics.jax.org/mtbwi/userHelp.jsp","type":"controlled","notes":"Contact User Support to request a consultation with an MMHCdb Biocuration Scientist about submitting."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001344","bsg-d001344"],"name":"FAIRsharing record for: Mouse Models of Human Cancer Database","abbreviation":"MMHCdb","url":"https://fairsharing.org/10.25504/FAIRsharing.2c9d3c","doi":"10.25504/FAIRsharing.2c9d3c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mouse Tumor Biology (MTB) Database supports the use of the mouse as a model system of human cancers by providing access to information on and data for: spontaneous and induced tumors in mice, genetically defined mice (inbred, hybrid, mutant, and genetically engineered strains of mice) in which tumors arise, genetic factors associated with tumor susceptibility in mice, somatic genetic-mutations observed in tumors, and Patient Derived Xenograft (PDX) models.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Pathology"],"domains":["Cancer","Tumor","Histology"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2628,"pubmed_id":29092943,"title":"The Mouse Tumor Biology Database: A Comprehensive Resource for Mouse Models of Human Cancer.","year":2017,"url":"http://doi.org/10.1158/0008-5472.CAN-17-0584","authors":"Krupke DM,Begley DA,Sundberg JP,Richardson JE,Neuhauser SB,Bult CJ","journal":"Cancer Res","doi":"10.1158/0008-5472.CAN-17-0584","created_at":"2021-09-30T08:27:22.663Z","updated_at":"2021-09-30T08:27:22.663Z"},{"id":2629,"pubmed_id":18432250,"title":"The Mouse Tumor Biology database.","year":2008,"url":"http://doi.org/10.1038/nrc2390","authors":"Krupke DM,Begley DA,Sundberg JP,Bult CJ,Eppig JT","journal":"Nat Rev Cancer","doi":"10.1038/nrc2390","created_at":"2021-09-30T08:27:22.779Z","updated_at":"2021-09-30T08:27:22.779Z"}],"licence_links":[{"licence_name":"MTB Copyright Notice","licence_id":530,"licence_url":"http://tumor.informatics.jax.org/mtbwi/copyright.jsp","link_id":701,"relation":"undefined"}],"grants":[{"id":8592,"fairsharing_record_id":2843,"organisation_id":2035,"relation":"funds","created_at":"2021-11-11T09:55:16.161Z","updated_at":"2021-11-11T09:55:16.161Z","grant_id":1819,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NCI R01 CA89713","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3592,"fairsharing_record_id":2843,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:26:20.638Z","updated_at":"2021-09-30T09:26:20.638Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2844","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T03:44:37.000Z","updated_at":"2024-03-05T14:23:59.455Z","metadata":{"doi":"10.25504/FAIRsharing.V527H4","name":"Center for Expanded Data Annotation and Retrieval Workbench","status":"ready","contacts":[{"contact_name":"John Graybeal","contact_email":"jgraybeal@stanford.edu","contact_orcid":"0000-0001-6875-5360"},{"contact_name":"Metadata Center Contact","contact_email":"cedar-news@metadatacenter.org","contact_orcid":null}],"homepage":"https://metadatacenter.org/","citations":[{"doi":"10.1093/jamia/ocv048","pubmed_id":26112029,"publication_id":583}],"identifier":2844,"description":"The Center for Expanded Data Annotation and Retrieval (CEDAR) Workbench is a database of metadata templates that define the data elements needed to describe particular types of biomedical experiments. The templates include controlled terms and synonyms for specific data elements. CEDAR is an end-to-end process that enables community-based organizations to collaborate to create metadata templates, investigators or curators to use the templates to define the metadata for individual experiments, and scientists to search the metadata to access and analyze the corresponding online datasets. ","abbreviation":"CEDAR Workbench","data_curation":{"type":"not found"},"support_links":[{"url":"https://metadatacenter.org/help/","name":"Help Pages","type":"Help documentation"},{"url":"https://metadatacenter.org/category/happenings/","type":"Blog/News"},{"url":"https://metadatacenter.org/publications/","name":"CEDAR Publications","type":"Help documentation"},{"url":"https://twitter.com/metadatacenter","name":"@metadatacenter","type":"Twitter"},{"url":"https://www.facebook.com/MetadataCenter/","name":"@MetadataCenter","type":"Facebook"},{"url":"https://www.youtube.com/channel/UCO3MPDH9cD4L8fA-tZ1LB7A","name":"CEDAR on Youtube","type":"Video"},{"url":"https://metadatacenter.org/help/#subscribe","type":"Mailing list"},{"url":"http://github.com/metadatacenter","name":"Metadata Center on GitHub","type":"Github"},{"url":"https://metadatacenter.org/tools-training/outreach/cedar-template-model","name":"CEDAR Template Model","type":"Help documentation"},{"url":"https://more.metadatacenter.org/research/analytics-driven","name":"CEDAR Analytic Engine","type":"Training documentation"},{"url":"http://cedar-dev.stanford.edu/about-us/feedback","name":"CEDAR Feedback","type":"Contact form"},{"url":"https://metadatacenter.org/tools-training/orientation","name":"Getting Started","type":"Training documentation"},{"url":"https://more.metadatacenter.org/purpose/scenarios","name":"CEDAR User Scenarios","type":"Training documentation"},{"url":"https://immport.niaid.nih.gov/","name":"Immunology Database and Analysis Portal","type":"Other"},{"url":"https://mailman.stanford.edu/mailman/listinfo/cedar-developers","name":"CEDAR Developers Contact Form","type":"Contact form"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"https://cedar.metadatacenter.org","name":"CEDAR Workbench"},{"url":"https://www.dropwizard.io/en/latest/","name":"Dropwizard Java Framework"},{"url":"https://angularjs.org/","name":"AngularJS HTML Vocabulary"},{"url":"https://auth.zenhub.com/login?state=hKFo2SBNb3V6cUdwUXRWaG9WRHhHblpBa0FBUG1uaE52VjVlRaFupWxvZ2luo3RpZNkgVnlxS0xQbmljb0ZiX3h1ekEtTllKRVo5UkI5V0dSRlqjY2lk2SBJcWRRaktTSkI0bDkzMDB2ekJIMFRZRTlyd2pOdk5GTQ\u0026client=IqdQjKSJB4l9300vzBH0TYE9rwjNvNFM\u0026protocol=oauth2\u0026audience=https%3A%2F%2Fzenhub.us.auth0.com%2Fapi%2Fv2%2F\u0026issuer=https%3A%2F%2Fauth.zenhub.com%2F\u0026scope=openid%20profile%20email%20read%3Acurrent_user%20update%3Acurrent_user_metadata\u0026redirect_uri=https%3A%2F%2Fapp.zenhub.com%2Fplatform\u0026screen_hint=login\u0026app_url=https%3A%2F%2Fapp.zenhub.com\u0026api_url=https%3A%2F%2Fapi.zenhub.com\u0026workspaceName=Cedar%20features\u0026isMissingAccount=false\u0026response_type=code\u0026response_mode=query\u0026nonce=cjZES35pSncuVnhoLlBGTDd1bEh1blp%2BMmltRXg3WHJJNEQ4Rjc2WENKUg%3D%3D\u0026code_challenge=xZAWrhgYsxiDUGbdIXbjeNEOrpWfyPnrkLTK38cYBwk\u0026code_challenge_method=S256\u0026auth0Client=eyJuYW1lIjoiYXV0aDAtcmVhY3QiLCJ2ZXJzaW9uIjoiMS4xMC4xIn0%3D","name":"CEDAR ZenHub"}],"data_access_condition":{"type":"controlled","notes":"Login required"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001345","bsg-d001345"],"name":"FAIRsharing record for: Center for Expanded Data Annotation and Retrieval Workbench","abbreviation":"CEDAR Workbench","url":"https://fairsharing.org/10.25504/FAIRsharing.V527H4","doi":"10.25504/FAIRsharing.V527H4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Center for Expanded Data Annotation and Retrieval (CEDAR) Workbench is a database of metadata templates that define the data elements needed to describe particular types of biomedical experiments. The templates include controlled terms and synonyms for specific data elements. CEDAR is an end-to-end process that enables community-based organizations to collaborate to create metadata templates, investigators or curators to use the templates to define the metadata for individual experiments, and scientists to search the metadata to access and analyze the corresponding online datasets. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Integration","Data Governance"],"domains":["Resource metadata","Experimental measurement","Protocol","Study design","Machine learning","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":["Semantic"],"countries":["United States"],"publications":[{"id":583,"pubmed_id":26112029,"title":"The center for expanded data annotation and retrieval.","year":2015,"url":"http://doi.org/10.1093/jamia/ocv048","authors":"Musen MA,Bean CA,Cheung KH,Dumontier M,Durante KA,Gevaert O,Gonzalez-Beltran A,Khatri P,Kleinstein SH,O'Connor MJ,Pouliot Y,Rocca-Serra P,Sansone SA,Wiser JA","journal":"J Am Med Inform Assoc","doi":"10.1093/jamia/ocv048","created_at":"2021-09-30T08:23:23.843Z","updated_at":"2021-09-30T08:23:23.843Z"},{"id":3271,"pubmed_id":null,"title":"The CEDAR Workbench: An Ontology-Assisted Environment for Authoring Metadata that Describe Scientific Experiments","year":2017,"url":"http://dx.doi.org/10.1007/978-3-319-68204-4_10","authors":"Gonçalves, Rafael S.; O’Connor, Martin J.; Martínez-Romero, Marcos; Egyedi, Attila L.; Willrett, Debra; Graybeal, John; Musen, Mark A.; ","journal":"Lecture Notes in Computer Science","doi":"10.1007/978-3-319-68204-4_10","created_at":"2022-03-25T10:28:50.461Z","updated_at":"2022-03-25T10:28:50.461Z"}],"licence_links":[],"grants":[{"id":3594,"fairsharing_record_id":2844,"organisation_id":2624,"relation":"maintains","created_at":"2021-09-30T09:26:20.672Z","updated_at":"2021-09-30T09:26:20.672Z","grant_id":null,"is_lead":true,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3593,"fairsharing_record_id":2844,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:26:20.655Z","updated_at":"2021-09-30T09:28:53.307Z","grant_id":1,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"1U54AI117925","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2845","type":"fairsharing_records","attributes":{"created_at":"2019-11-01T10:09:29.000Z","updated_at":"2023-12-15T10:31:24.317Z","metadata":{"doi":"10.25504/FAIRsharing.rgcsW6","name":"Chlamydiae Database","status":"ready","contacts":[{"contact_name":"Trestan Pillonel","contact_email":"trestan.pillonel@chuv.ch","contact_orcid":"0000-0002-5725-7929"}],"homepage":"https://www.chlamdb.ch/","citations":[{"doi":"gkz924","pubmed_id":31665454,"publication_id":2605}],"identifier":2845,"description":"ChlamDB is a comparative genomics database covering the entire Chlamydiae phylum as well as their closest relatives belonging to the Planctomycetes-Verrucomicrobiae-Chlamydiae (PVC) superphylum. Genomes can be compared, analyzed and retrieved using accessions numbers of the most widely used databases including COG, KEGG ortholog, KEGG pathway, KEGG module, Pfam and InterPro. Candidate effectors of the Type III secretion system (T3SS) were identified using four in silico methods. The identification of orthologs among all PVC genomes allows users to perform large-scale comparative analyses and to identify orthologs of any protein in all genomes integrated in the database. Phylogenetic relationships of PVC proteins and their closest homologs in RefSeq, comparison of transmembrane domains and Pfam domains, conservation of gene neighborhood and taxonomic profiles can be visualized using dynamically generated graphs, available for download. As a central resource for researchers working on chlamydia, chlamydia-related bacteria, verrucomicrobia and planctomyces, ChlamDB facilitates the access to comprehensive annotations and integrates multiple tools for comparative genomic analyses.","abbreviation":"ChlamDB","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://github.com/metagenlab/chlamdb/issues","name":"Report an Issue","type":"Github"},{"url":"https://www.chlamdb.ch/docs/index.html","name":"Documentation","type":"Help documentation"},{"url":"https://www.chlamdb.ch/about","name":"About ChlamDB","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://chlamdb.ch/blast/","name":"BLAST"},{"url":"https://chlamdb.ch/plot_region/","name":"Plot Genomic Region"},{"url":"https://chlamdb.ch/circos/","name":"Circos Plots"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001346","bsg-d001346"],"name":"FAIRsharing record for: Chlamydiae Database","abbreviation":"ChlamDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rgcsW6","doi":"10.25504/FAIRsharing.rgcsW6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChlamDB is a comparative genomics database covering the entire Chlamydiae phylum as well as their closest relatives belonging to the Planctomycetes-Verrucomicrobiae-Chlamydiae (PVC) superphylum. Genomes can be compared, analyzed and retrieved using accessions numbers of the most widely used databases including COG, KEGG ortholog, KEGG pathway, KEGG module, Pfam and InterPro. Candidate effectors of the Type III secretion system (T3SS) were identified using four in silico methods. The identification of orthologs among all PVC genomes allows users to perform large-scale comparative analyses and to identify orthologs of any protein in all genomes integrated in the database. Phylogenetic relationships of PVC proteins and their closest homologs in RefSeq, comparison of transmembrane domains and Pfam domains, conservation of gene neighborhood and taxonomic profiles can be visualized using dynamically generated graphs, available for download. As a central resource for researchers working on chlamydia, chlamydia-related bacteria, verrucomicrobia and planctomyces, ChlamDB facilitates the access to comprehensive annotations and integrates multiple tools for comparative genomic analyses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12857}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogeny","Phylogenomics","Comparative Genomics"],"domains":["Protein domain","Conserved region","Homologous","Orthologous","Genome"],"taxonomies":["Chlamydia","Chlamydiae","Planctomycetes","PVC superphylum","Verrucomicrobia"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2605,"pubmed_id":31665454,"title":"ChlamDB: a comparative genomics database of the phylum Chlamydiae and other members of the Planctomycetes-Verrucomicrobiae-Chlamydiae superphylum.","year":2019,"url":"http://doi.org/10.1093/nar/gkz924","authors":"Pillonel T,Tagini F,Bertelli C,Greub G","journal":"Nucleic Acids Research","doi":"gkz924","created_at":"2021-09-30T08:27:19.751Z","updated_at":"2021-09-30T11:29:40.411Z"}],"licence_links":[],"grants":[{"id":3595,"fairsharing_record_id":2845,"organisation_id":1426,"relation":"maintains","created_at":"2021-09-30T09:26:20.688Z","updated_at":"2021-09-30T09:26:20.688Z","grant_id":null,"is_lead":true,"saved_state":{"id":1426,"name":"Institute of Microbiology, Lausanne University Hospital and University of Lausanne, Switzerland","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2819","type":"fairsharing_records","attributes":{"created_at":"2019-08-20T16:04:48.000Z","updated_at":"2023-12-15T10:31:14.101Z","metadata":{"doi":"10.25504/FAIRsharing.EGn1ut","name":"WALTZ-DB 2.0","status":"ready","contacts":[{"contact_name":"Nikolaos Louros","contact_email":"nikolaos.louros@kuleuven.vib.be","contact_orcid":"0000-0002-4030-1022"}],"homepage":"http://waltzdb.switchlab.org","citations":[{"publication_id":2546}],"identifier":2819,"description":"WALTZ-DB 2.0 is a database for characterizing short peptides for their amyloid fiber-forming capacities. The majority of the data comes from electron microscopy, FTIR and Thioflavin-T experiments done by the Switch lab. Apart from that class of data we also provide the amyloid annotation for several other short peptides found in current scientific research papers. Structural models of the potential amyloid cores are provided for every peptide entry.","abbreviation":"WALTZ-DB 2.0","data_curation":{"type":"manual"},"support_links":[{"url":"http://waltzdb.switchlab.org/contact","name":"Contact form","type":"Contact form"},{"url":"http://waltzdb.switchlab.org/help","name":"Documentation","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001318","bsg-d001318"],"name":"FAIRsharing record for: WALTZ-DB 2.0","abbreviation":"WALTZ-DB 2.0","url":"https://fairsharing.org/10.25504/FAIRsharing.EGn1ut","doi":"10.25504/FAIRsharing.EGn1ut","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WALTZ-DB 2.0 is a database for characterizing short peptides for their amyloid fiber-forming capacities. The majority of the data comes from electron microscopy, FTIR and Thioflavin-T experiments done by the Switch lab. Apart from that class of data we also provide the amyloid annotation for several other short peptides found in current scientific research papers. Structural models of the potential amyloid cores are provided for every peptide entry.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12848}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomaterials","Biochemistry","Bioinformatics","Structural Biology","Biophysics","Computational Biology","Biology"],"domains":["Molecular structure","Peptide identification","Protein structure","Peptide library","Electron microscopy","Protein Analysis","Amino acid sequence"],"taxonomies":["All"],"user_defined_tags":["Amyloid","Protein aggregation","Steric zippers"],"countries":["Belgium"],"publications":[{"id":2546,"pubmed_id":null,"title":"WALTZ-DB 2.0: An updated database containing structural information of experimentally determined amyloid-forming peptides","year":2019,"url":"https://doi.org/10.1093/nar/gkz758","authors":"Nikolaos Louros, Katerina Konstantoulea, Matthias De Vleeschouwer, Meine Ramakers, Joost Schymkowitz and Frederic Rousseau","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:27:12.195Z","updated_at":"2021-09-30T11:28:36.587Z"}],"licence_links":[],"grants":[{"id":3528,"fairsharing_record_id":2819,"organisation_id":2690,"relation":"maintains","created_at":"2021-09-30T09:26:19.175Z","updated_at":"2021-09-30T09:26:19.175Z","grant_id":null,"is_lead":true,"saved_state":{"id":2690,"name":"Switch Laboratory","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":3527,"fairsharing_record_id":2819,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:19.136Z","updated_at":"2021-09-30T09:30:16.321Z","grant_id":630,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","grant":"647458","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9334,"fairsharing_record_id":2819,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:31.119Z","updated_at":"2022-04-11T12:07:31.138Z","grant_id":186,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"12P0919N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2820","type":"fairsharing_records","attributes":{"created_at":"2019-09-10T21:10:05.000Z","updated_at":"2023-12-15T10:30:13.718Z","metadata":{"doi":"10.25504/FAIRsharing.2VADoR","name":"The Data Platform for Plasma Technology","status":"ready","contacts":[{"contact_name":"Markus Becker","contact_email":"markus.becker@inp-greifswald.de","contact_orcid":"0000-0001-9324-3236"}],"homepage":"https://www.inptdat.de","citations":[],"identifier":2820,"description":"The interdisciplinary data platform INPTDAT provides easy access to research data and information from all fields of applied plasma physics and plasma medicine. It aims to support the findability, accessibility, interoperability and re-use of data for the low-temperature plasma physics community.","abbreviation":"INPTDAT","data_curation":{"url":"https://www.inptdat.de/about","type":"manual"},"support_links":[{"url":"https://inptdat.de/feedback","name":"Feedback Form","type":"Contact form"},{"url":"https://www.inptdat.de/about","name":"About","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://getdkan.org","name":"dkan"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013120","name":"re3data:r3d100013120","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.inptdat.de/add-dataset","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001319","bsg-d001319"],"name":"FAIRsharing record for: The Data Platform for Plasma Technology","abbreviation":"INPTDAT","url":"https://fairsharing.org/10.25504/FAIRsharing.2VADoR","doi":"10.25504/FAIRsharing.2VADoR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The interdisciplinary data platform INPTDAT provides easy access to research data and information from all fields of applied plasma physics and plasma medicine. It aims to support the findability, accessibility, interoperability and re-use of data for the low-temperature plasma physics community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Atomic, Molecular, Optical and Plasma Physics","Physical Chemistry","Materials Science","Medical Physics"],"domains":["Bioactivity","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1123,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1124,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1125,"relation":"undefined"}],"grants":[{"id":3531,"fairsharing_record_id":2820,"organisation_id":1698,"relation":"maintains","created_at":"2021-09-30T09:26:19.254Z","updated_at":"2021-09-30T09:26:19.254Z","grant_id":null,"is_lead":true,"saved_state":{"id":1698,"name":"Leibniz Institute for Plasma Science and Technology","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3530,"fairsharing_record_id":2820,"organisation_id":333,"relation":"funds","created_at":"2021-09-30T09:26:19.230Z","updated_at":"2021-09-30T09:32:34.066Z","grant_id":1677,"is_lead":false,"saved_state":{"id":333,"name":"Bundesministerium fur Bildung und Forschung (BMBF), Germany","grant":"16FDM005","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2864","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T23:19:55.000Z","updated_at":"2023-12-15T10:27:24.922Z","metadata":{"doi":"10.25504/FAIRsharing.pS2p8c","name":"UNC Dataverse","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"odumarchive@unc.edu"}],"homepage":"https://dataverse.unc.edu/","citations":[],"identifier":2864,"description":"UNC Dataverse is a research data repository hosted by the Odum Institute at the University of North Carolina at Chapel Hill. UNC Dataverse is an open access repository that accepts data deposits from individual researchers, research groups, institutions, journals, and other entities from all disciplinary domains. UNC Dataverse offers value-added features that support archiving, discovery, and sharing of research data that align with FAIR principles for findable, accessible, interoperable, reusable data.","abbreviation":"UNC Dataverse","data_curation":{"type":"not found"},"support_links":[{"url":"odumarchive@unc.edu","name":"UNC Dataverse Support","type":"Support email"},{"url":"https://odum.unc.edu/archive/","name":"About","type":"Help documentation"}],"year_creation":2005,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000005","name":"re3data:r3d100000005","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://odum.unc.edu/wp-content/uploads/sites/1060/2020/01/Policy_DigitalPreservation_2020200124.pdf","name":"Digital preservation policy"},"data_deposition_condition":{"url":"https://dataverse.unc.edu/","type":"controlled","notes":"UNC researchers only"},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://www.coretrustseal.org/wp-content/uploads/2020/10/Odum-Institute-Data-Archive.pdf","name":"Core Trust Seal"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001365","bsg-d001365"],"name":"FAIRsharing record for: UNC Dataverse","abbreviation":"UNC Dataverse","url":"https://fairsharing.org/10.25504/FAIRsharing.pS2p8c","doi":"10.25504/FAIRsharing.pS2p8c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UNC Dataverse is a research data repository hosted by the Odum Institute at the University of North Carolina at Chapel Hill. UNC Dataverse is an open access repository that accepts data deposits from individual researchers, research groups, institutions, journals, and other entities from all disciplinary domains. UNC Dataverse offers value-added features that support archiving, discovery, and sharing of research data that align with FAIR principles for findable, accessible, interoperable, reusable data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Citation","Publication","Data storage"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3117,"relation":"applies_to_content"},{"licence_name":"UNC Dataverse Terms of Use","licence_id":816,"licence_url":"https://odum.unc.edu/files/2017/05/Policy_UNCDataverseTermsofUse_20170501.pdf","link_id":2060,"relation":"undefined"}],"grants":[{"id":3632,"fairsharing_record_id":2864,"organisation_id":3107,"relation":"funds","created_at":"2021-09-30T09:26:21.884Z","updated_at":"2021-09-30T09:26:21.884Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3633,"fairsharing_record_id":2864,"organisation_id":1293,"relation":"maintains","created_at":"2021-09-30T09:26:21.917Z","updated_at":"2021-09-30T09:26:21.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":1293,"name":"H. W. Odum Institute for Research in Social Science","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2865","type":"fairsharing_records","attributes":{"created_at":"2019-12-03T10:57:42.000Z","updated_at":"2023-12-15T10:31:28.966Z","metadata":{"doi":"10.25504/FAIRsharing.VXoFLf","name":"Domain-centric GO","status":"ready","contacts":[{"contact_name":"Dr. Hai Fang","contact_email":"hfang@cs.bris.ac.uk"}],"homepage":"http://supfam.org/SUPERFAMILY/dcGO/index.html","citations":[{"doi":"10.1093/nar/gks1080","publication_id":2642}],"identifier":2865,"description":"Domain-centric GO provides associations between ontological terms and protein domains at the superfamily and family levels. Some functional units consist of more than one domain acting together or acting at an interface between domains; therefore, ontological terms associated with pairs of domains, triplets and longer supra-domains are also provided.","abbreviation":"dcGO","data_curation":{"type":"not found"},"support_links":[{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcalgorithm.cgi","name":"Algorithm details","type":"Help documentation"},{"url":"http://supfam.org/SUPERFAMILY/dcGO/background.html","name":"Background","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcpredictormain.cgi","name":"dcGO Predictor"},{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcenrichment.cgi","name":"dcGO Enrichment"},{"url":"http://supfam.org/SUPERFAMILY/cgi-bin/dcpevo.cgi","name":"dcGO Pevo"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001366","bsg-d001366"],"name":"FAIRsharing record for: Domain-centric GO","abbreviation":"dcGO","url":"https://fairsharing.org/10.25504/FAIRsharing.VXoFLf","doi":"10.25504/FAIRsharing.VXoFLf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Domain-centric GO provides associations between ontological terms and protein domains at the superfamily and family levels. Some functional units consist of more than one domain acting together or acting at an interface between domains; therefore, ontological terms associated with pairs of domains, triplets and longer supra-domains are also provided.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12862}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics"],"domains":["Functional domain","Protein domain","Annotation","Sequence annotation","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2642,"pubmed_id":null,"title":"dcGO: database of domain-centric ontologies on functions, phenotypes, diseases and more","year":2013,"url":"http://doi.org/10.1093/nar/gks1080","authors":"Hai Fang, Julian Gough","journal":"Nucleic Acids Research, Volume 41, Issue D1, Pages D536–D544","doi":"10.1093/nar/gks1080","created_at":"2021-09-30T08:27:24.454Z","updated_at":"2021-09-30T08:27:24.454Z"}],"licence_links":[],"grants":[{"id":3634,"fairsharing_record_id":2865,"organisation_id":700,"relation":"maintains","created_at":"2021-09-30T09:26:21.943Z","updated_at":"2021-09-30T09:26:21.943Z","grant_id":null,"is_lead":true,"saved_state":{"id":700,"name":"Department of Computer Science, University of Bristol, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3635,"fairsharing_record_id":2865,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:21.966Z","updated_at":"2021-09-30T09:32:10.810Z","grant_id":1504,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BBSRC Tools and Resources Development Fund: BB/L018543/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2866","type":"fairsharing_records","attributes":{"created_at":"2019-12-03T14:02:09.000Z","updated_at":"2023-03-09T18:50:40.903Z","metadata":{"doi":"10.25504/FAIRsharing.CFLgLo","name":"Chickspress","status":"deprecated","contacts":[{"contact_email":"agbase@email.arizona.edu"}],"homepage":"http://geneatlas.arl.arizona.edu/","citations":[{"doi":"10.1093/database/baz058","pubmed_id":31210271,"publication_id":2643}],"identifier":2866,"description":"Chickspress is a gene expression database for chicken tissues. Chickspress incorporates both NCBI and Ensembl gene models and links these gene sets with experimental gene expression data and QTL information. By linking gene models from both NCBI and Ensembl gene prediction pipelines, researchers can compare gene models from each of these prediction workflows to available experimental data. We use Chickspress data to show the differences between these gene annotation pipelines. Chickspress also provides rapid search, visualization and download capacity for chicken gene sets based upon tissue type, developmental stage and experiment type. Chickspress includes a core set of Red Jungle Fowl RNA and peptide data collected across multiple tissues from both male and female birds and public expression data sets.","abbreviation":"Chickspress","data_curation":{"type":"not found"},"support_links":[{"url":"fionamcc@email.arizona.edu","name":"Fiona M McCarthy","type":"Support email"},{"url":"http://geneatlas.arl.arizona.edu/sra_data.php","name":"Links to SRA data","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2023-03-09","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001367","bsg-d001367"],"name":"FAIRsharing record for: Chickspress","abbreviation":"Chickspress","url":"https://fairsharing.org/10.25504/FAIRsharing.CFLgLo","doi":"10.25504/FAIRsharing.CFLgLo","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Chickspress is a gene expression database for chicken tissues. Chickspress incorporates both NCBI and Ensembl gene models and links these gene sets with experimental gene expression data and QTL information. By linking gene models from both NCBI and Ensembl gene prediction pipelines, researchers can compare gene models from each of these prediction workflows to available experimental data. We use Chickspress data to show the differences between these gene annotation pipelines. Chickspress also provides rapid search, visualization and download capacity for chicken gene sets based upon tissue type, developmental stage and experiment type. Chickspress includes a core set of Red Jungle Fowl RNA and peptide data collected across multiple tissues from both male and female birds and public expression data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Proteomics"],"domains":["Expression data","Computational biological predictions","Gene prediction","MicroRNA expression analysis","Gene expression","Protein expression","RNA sequencing","Messenger RNA","Micro RNA","Gene","Tissue"],"taxonomies":["Gallus gallus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2643,"pubmed_id":31210271,"title":"Chickspress: a resource for chicken gene expression.","year":2019,"url":"http://doi.org/baz058","authors":"McCarthy FM,Pendarvis K,Cooksey AM,Gresham CR,Bomhoff M,Davey S,Lyons E,Sonstegard TS,Bridges SM,Burgess SC","journal":"Database (Oxford)","doi":"10.1093/database/baz058","created_at":"2021-09-30T08:27:24.563Z","updated_at":"2021-09-30T08:27:24.563Z"}],"licence_links":[],"grants":[{"id":3641,"fairsharing_record_id":2866,"organisation_id":694,"relation":"maintains","created_at":"2021-09-30T09:26:22.125Z","updated_at":"2021-09-30T09:26:22.125Z","grant_id":null,"is_lead":false,"saved_state":{"id":694,"name":"Department of Computer Science and Engineering, Mississippi State University, Starkville, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3637,"fairsharing_record_id":2866,"organisation_id":2506,"relation":"maintains","created_at":"2021-09-30T09:26:22.016Z","updated_at":"2021-09-30T09:26:22.016Z","grant_id":null,"is_lead":true,"saved_state":{"id":2506,"name":"School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3638,"fairsharing_record_id":2866,"organisation_id":1415,"relation":"maintains","created_at":"2021-09-30T09:26:22.051Z","updated_at":"2021-09-30T09:26:22.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":1415,"name":"Institute of Genomics, Biocomputing \u0026 Biotechnology, Mississippi State University, Starkville, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3639,"fairsharing_record_id":2866,"organisation_id":2518,"relation":"maintains","created_at":"2021-09-30T09:26:22.075Z","updated_at":"2021-09-30T09:26:22.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":2518,"name":"School of Plant Sciences, University of Arizona, Tucson, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3640,"fairsharing_record_id":2866,"organisation_id":2933,"relation":"maintains","created_at":"2021-09-30T09:26:22.100Z","updated_at":"2021-09-30T09:26:22.100Z","grant_id":null,"is_lead":false,"saved_state":{"id":2933,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Beltsville Agricultural Research Center, Beltsville, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3636,"fairsharing_record_id":2866,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:26:21.993Z","updated_at":"2021-09-30T09:29:28.937Z","grant_id":264,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"2011-67015-30332","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3642,"fairsharing_record_id":2866,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:22.151Z","updated_at":"2021-09-30T09:32:40.714Z","grant_id":1729,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R24 GM079326","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2867","type":"fairsharing_records","attributes":{"created_at":"2019-12-04T08:11:42.000Z","updated_at":"2023-12-15T10:32:28.988Z","metadata":{"doi":"10.25504/FAIRsharing.BnLUyq","name":"Plant Genome Integrative Explorer","status":"ready","contacts":[{"contact_name":"Nathaniel Street","contact_email":"contact@plantgenie.org","contact_orcid":"0000-0001-6031-005X"}],"homepage":"https://plantgenie.org","citations":[{"doi":"10.1111/nph.13557","pubmed_id":26192091,"publication_id":2663}],"identifier":2867,"description":"The Plant Genome Integrative Explorer is a collection of interoperable web resources for searching, visualising and analysing genomics and transcriptomics data for different plant species. Currently, it includes dedicated web portals for enabling in-depth exploration of Poplar, Eucalyptus Norway spruce, and Arabidopsis and few more plant species. The PlantGenIE platform is based on the GenIE-Sys ( Genome Integrative Explorer System).","abbreviation":"PlantGenIE","data_curation":{"type":"not found"},"support_links":[{"url":"contact@plantgenie.org","name":"Contact PlantGenIE","type":"Support email"},{"url":"https://plantgenie.org/help/tool_id/blast/","name":"Help","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","associated_tools":[{"url":"http://congenie.org/blast","name":"BLAST"},{"url":"http://congenie.org/citation?genelist=enable","name":"Gene List"},{"url":"http://congenie.org/gbrowse","name":"GBrowse"},{"url":"http://congenie.org/jbrowse","name":"JBrowse"},{"url":"http://congenie.org/random_gene_list","name":"Random Gene List"},{"url":"http://congenie.org/eximage","name":"exImage"},{"url":"http://congenie.org/exnet","name":"exNet"},{"url":"http://congenie.org/explot","name":"exPlot"},{"url":"http://congenie.org/exheatmap","name":"exHeatmap"},{"url":"http://congenie.org/enrichment","name":"Enrichment"},{"url":"http://complex.plantgenie.org/","name":"ComPlEx"},{"url":"http://galaxy.plantgenie.org:8080/","name":"Galaxy"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001368","bsg-d001368"],"name":"FAIRsharing record for: Plant Genome Integrative Explorer","abbreviation":"PlantGenIE","url":"https://fairsharing.org/10.25504/FAIRsharing.BnLUyq","doi":"10.25504/FAIRsharing.BnLUyq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Genome Integrative Explorer is a collection of interoperable web resources for searching, visualising and analysing genomics and transcriptomics data for different plant species. Currently, it includes dedicated web portals for enabling in-depth exploration of Poplar, Eucalyptus Norway spruce, and Arabidopsis and few more plant species. The PlantGenIE platform is based on the GenIE-Sys ( Genome Integrative Explorer System).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Genomics","Bioinformatics","Phylogenetics"],"domains":["RNA sequence","Gene Ontology enrichment","Genome annotation","Genomic assembly","Genome visualization","Gene expression","Co-expression","RNA sequencing","Sequence alignment","Protein","Quantitative trait loci"],"taxonomies":["Arabidopsis thaliana","Eucalyptus grandis","Picea abies","Picea taeda","Populus trichocarpa"],"user_defined_tags":[],"countries":["Sweden"],"publications":[{"id":2663,"pubmed_id":26192091,"title":"The Plant Genome Integrative Explorer Resource: PlantGenIE.org.","year":2015,"url":"http://doi.org/10.1111/nph.13557","authors":"Sundell D,Mannapperuma C,Netotea S,Delhomme N,Lin YC,Sjodin A,Van de Peer Y,Jansson S,Hvidsten TR,Street NR","journal":"New Phytol","doi":"10.1111/nph.13557","created_at":"2021-09-30T08:27:26.996Z","updated_at":"2021-09-30T08:27:26.996Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":1200,"relation":"undefined"}],"grants":[{"id":3643,"fairsharing_record_id":2867,"organisation_id":2904,"relation":"maintains","created_at":"2021-09-30T09:26:22.180Z","updated_at":"2021-09-30T09:26:22.180Z","grant_id":null,"is_lead":true,"saved_state":{"id":2904,"name":"Umea Plant Science Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdUlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ef0ccadcce8bbe77e5d3dd0327cc0a9425a90a28/plantgeine_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2868","type":"fairsharing_records","attributes":{"created_at":"2020-01-06T14:12:57.000Z","updated_at":"2023-12-15T10:32:50.850Z","metadata":{"doi":"10.25504/FAIRsharing.FnkS1A","name":"Drug Database for Inborn Errors of Metabolism","status":"ready","contacts":[{"contact_name":"Robert Hoehndorf","contact_email":"robert.hoehndorf@kaust.edu.sa","contact_orcid":"0000-0001-8149-5890"}],"homepage":"http://ddiem.phenomebrowser.net/","identifier":2868,"description":"DDIEM - Drug Database for inborn errors of metabolism is a database on therapeutic strategies for inborn errors of metabolism. These strategies are classified by mechanism and outcome in DDIEM ontology. DDIEM uses this ontology to categorize the experimental treatments that have been proposed or applied. The database includes descriptions of the phenotypes addressed by the treatment and drugs participating in treatment and procedures.","abbreviation":"DDIEM","data_curation":{"url":"http://ddiem.phenomebrowser.net/about","type":"manual"},"support_links":[{"url":"https://github.com/bio-ontology-research-group/DDIEM/issues","name":"Github Issue Tracker","type":"Github"},{"url":"https://github.com/bio-ontology-research-group/DDIEM","name":"GitHub Project","type":"Github"}],"year_creation":2020,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001369","bsg-d001369"],"name":"FAIRsharing record for: Drug Database for Inborn Errors of Metabolism","abbreviation":"DDIEM","url":"https://fairsharing.org/10.25504/FAIRsharing.FnkS1A","doi":"10.25504/FAIRsharing.FnkS1A","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DDIEM - Drug Database for inborn errors of metabolism is a database on therapeutic strategies for inborn errors of metabolism. These strategies are classified by mechanism and outcome in DDIEM ontology. DDIEM uses this ontology to categorize the experimental treatments that have been proposed or applied. The database includes descriptions of the phenotypes addressed by the treatment and drugs participating in treatment and procedures.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science","Biology"],"domains":["Drug","Rare disease","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Saudi Arabia","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1014,"relation":"undefined"}],"grants":[{"id":3645,"fairsharing_record_id":2868,"organisation_id":1637,"relation":"maintains","created_at":"2021-09-30T09:26:22.252Z","updated_at":"2021-09-30T09:26:22.252Z","grant_id":null,"is_lead":true,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":9136,"fairsharing_record_id":2868,"organisation_id":352,"relation":"maintains","created_at":"2022-04-11T12:07:16.874Z","updated_at":"2022-04-11T12:07:16.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":352,"name":"Cambridge University, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2869","type":"fairsharing_records","attributes":{"created_at":"2019-12-05T12:37:37.000Z","updated_at":"2023-12-15T10:32:28.738Z","metadata":{"name":"miRwayDB","status":"uncertain","contacts":[{"contact_name":"Nishant Chakravorty","contact_email":"nishant@smst.iitkgp.ernet.in"}],"homepage":"http://www.mirway.iitkgp.ac.in/","citations":[{"doi":"10.1093/database/bay023","pubmed_id":29688364,"publication_id":2641}],"identifier":2869,"description":"miRwayDB provides information on experimentally validated microRNA-pathway associations for pathophysiological conditions. Information includes disease condition, associated microRNAs, experimental sample types, regulation pattern (up/down), and pathway associations. In addition, miRwayDB provides miRNA, gene and pathway scores to evaluate the role of miRNA-regulated pathways in various pathophysiological conditions. We have been unable to contact miRwayDB in order to verify the current status of the resource, and have therefore marked it as Uncertain. If you are a developer of this resource or have any information on how to get in touch with miRwayDB, please let us know.","abbreviation":"miRwayDB","data_curation":{"url":"http://www.mirway.iitkgp.ac.in/home","type":"manual","notes":"The database is regularly updated and delivers complete data from published literature."},"support_links":[{"url":"http://www.mirway.iitkgp.ac.in/contactus","name":"Contact","type":"Contact form"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://www.mirway.iitkgp.ac.in/submitdata","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001370","bsg-d001370"],"name":"FAIRsharing record for: miRwayDB","abbreviation":"miRwayDB","url":"https://fairsharing.org/fairsharing_records/2869","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: miRwayDB provides information on experimentally validated microRNA-pathway associations for pathophysiological conditions. Information includes disease condition, associated microRNAs, experimental sample types, regulation pattern (up/down), and pathway associations. In addition, miRwayDB provides miRNA, gene and pathway scores to evaluate the role of miRNA-regulated pathways in various pathophysiological conditions. We have been unable to contact miRwayDB in order to verify the current status of the resource, and have therefore marked it as Uncertain. If you are a developer of this resource or have any information on how to get in touch with miRwayDB, please let us know.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Physiology","Pathology"],"domains":["Disease","Pathway model","Micro RNA","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":2641,"pubmed_id":29688364,"title":"miRwayDB: a database for experimentally validated microRNA-pathway associations in pathophysiological conditions.","year":2018,"url":"http://doi.org/10.1093/database/bay023","authors":"Das SS,Saha P,Chakravorty N","journal":"Database (Oxford)","doi":"10.1093/database/bay023","created_at":"2021-09-30T08:27:24.338Z","updated_at":"2021-09-30T08:27:24.338Z"}],"licence_links":[],"grants":[{"id":3647,"fairsharing_record_id":2869,"organisation_id":622,"relation":"maintains","created_at":"2021-09-30T09:26:22.300Z","updated_at":"2021-09-30T09:26:22.300Z","grant_id":null,"is_lead":true,"saved_state":{"id":622,"name":"Cryogenic Engineering Centre, Indian Institute of Technology, Kharagpur, India","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3646,"fairsharing_record_id":2869,"organisation_id":2513,"relation":"maintains","created_at":"2021-09-30T09:26:22.275Z","updated_at":"2021-09-30T09:26:22.275Z","grant_id":null,"is_lead":true,"saved_state":{"id":2513,"name":"School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, India","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3648,"fairsharing_record_id":2869,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:26:22.337Z","updated_at":"2021-09-30T09:26:22.337Z","grant_id":null,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research (CSIR), New Delhi, India","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2856","type":"fairsharing_records","attributes":{"created_at":"2019-11-14T12:25:44.000Z","updated_at":"2023-12-15T10:27:16.535Z","metadata":{"doi":"10.25504/FAIRsharing.2cw3HU","name":"BonaRes Repository","status":"ready","contacts":[{"contact_name":"Carsten Hoffmann","contact_email":"hoffmann@zalf.de","contact_orcid":"0000-0001-6457-4853"}],"homepage":"https://datenzentrum.bonares.de/research-data.php","citations":[{"doi":"https://doi.org/10.1016/j.cageo.2019.07.005","publication_id":2633}],"identifier":2856,"description":"The BonaRes Repository stores soil and agricultural research data from research projects and long-term field experiments which contribute significantly to the analysis of changes of soil and soil functions over the long term. Research data are described by the metadata following the BonaRes Metadata Schema (DOI: 10.20387/bonares-5pgg-8yrp) which combines international recognized standards for the description of geospatial data and research data. Metadata includes AGROVOC keywords.","abbreviation":"BonaRes Rep","data_curation":{"type":"manual"},"support_links":[{"url":"specka@zalf.de","name":"Xenia Specka","type":"Support email"},{"url":"https://datenzentrum.bonares.de/research-data.php","name":"About BonaRes Data Portal","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013470","name":"re3data:r3d100013470","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://tools.bonares.de/doi/download/32/","name":"The BonaRes Data Policy"},"data_deposition_condition":{"url":"https://tools.bonares.de/submission/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001357","bsg-d001357"],"name":"FAIRsharing record for: BonaRes Repository","abbreviation":"BonaRes Rep","url":"https://fairsharing.org/10.25504/FAIRsharing.2cw3HU","doi":"10.25504/FAIRsharing.2cw3HU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BonaRes Repository stores soil and agricultural research data from research projects and long-term field experiments which contribute significantly to the analysis of changes of soil and soil functions over the long term. Research data are described by the metadata following the BonaRes Metadata Schema (DOI: 10.20387/bonares-5pgg-8yrp) which combines international recognized standards for the description of geospatial data and research data. Metadata includes AGROVOC keywords.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Soil Science","Agriculture"],"domains":["Experimental measurement","Centrally registered identifier","Protocol","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2633,"pubmed_id":null,"title":"The BonaRes metadata schema for geospatial soil-agricultural research data – Merging INSPIRE and DataCite metadata schemes","year":2019,"url":"http://doi.org/https://doi.org/10.1016/j.cageo.2019.07.005","authors":"Specka, X.;Gärtner, P.; Hoffmann, C.; Svoboda, N.,; Stecker, M.; Einspanier, U.; Senkler, K.; Zoarder, M.A.M.; Heinrich, U.","journal":"Computer \u0026 Geosciences","doi":"https://doi.org/10.1016/j.cageo.2019.07.005","created_at":"2021-09-30T08:27:23.346Z","updated_at":"2021-09-30T08:27:23.346Z"}],"licence_links":[{"licence_name":"Creative Commons (CC) Copyright-Only Dedication (based on United States law) or Public Domain Certification","licence_id":197,"licence_url":"https://creativecommons.org/licenses/publicdomain/","link_id":2267,"relation":"undefined"}],"grants":[{"id":3618,"fairsharing_record_id":2856,"organisation_id":295,"relation":"maintains","created_at":"2021-09-30T09:26:21.415Z","updated_at":"2021-09-30T09:26:21.415Z","grant_id":null,"is_lead":false,"saved_state":{"id":295,"name":"BonaRes","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3619,"fairsharing_record_id":2856,"organisation_id":1695,"relation":"maintains","created_at":"2021-09-30T09:26:21.456Z","updated_at":"2021-09-30T09:26:21.456Z","grant_id":null,"is_lead":false,"saved_state":{"id":1695,"name":"Leibniz Centre for Agricultural Landscape Research (ZALF), Muencheberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2857","type":"fairsharing_records","attributes":{"created_at":"2019-11-14T16:19:31.000Z","updated_at":"2023-06-22T17:30:35.890Z","metadata":{"doi":"10.25504/FAIRsharing.q9VUYM","name":"BBMRI-ERIC Directory","status":"ready","contacts":[{"contact_name":"Petr Holub","contact_email":"petr.holub@bbmri-eric.eu","contact_orcid":"0000-0002-5358-616X"}],"homepage":"https://directory.bbmri-eric.eu/","citations":[{"doi":"10.1089/bio.2016.0088","pubmed_id":27936342,"publication_id":2635}],"identifier":2857,"description":"The BBMRI-ERIC Directory is a tool to share aggregate information about biobanks across Europe. The Directory welcomes new biobanks to join and publish information about themselves, including their contact information in the directory. The BBMRI-ERIC Directory can help researchers find relevant biobanks, get their contact information and identify appropriate infrastructure for the storage of samples for research purposes.","abbreviation":null,"data_curation":{"url":"https://zenodo.org/record/7688105/files/BBMRI-ERIC%20Directory%20-%20Data%20Manager%20Manual%20-%20Revision%203.6.7.pdf?download=1","type":"none"},"support_links":[{"url":"https://directory.bbmri-eric.eu/menu/main/references","name":"Manuals","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://github.com/BBMRI-ERIC/directory-scripts","name":"Directory scripting tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013028","name":"re3data:r3d100013028","portal":"re3data"}],"data_access_condition":{"url":"https://zenodo.org/record/3559488/files/BBMRI-ERIC%20Directory%20User%20Manual_v2.pdf?download=1","type":"open","notes":"All metadata openly available, with underlying samples available by request."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://directory.bbmri-eric.eu/menu/main/references","type":"controlled","notes":"Deposition by member biobanks only."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001358","bsg-d001358"],"name":"FAIRsharing record for: BBMRI-ERIC Directory","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.q9VUYM","doi":"10.25504/FAIRsharing.q9VUYM","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The BBMRI-ERIC Directory is a tool to share aggregate information about biobanks across Europe. The Directory welcomes new biobanks to join and publish information about themselves, including their contact information in the directory. The BBMRI-ERIC Directory can help researchers find relevant biobanks, get their contact information and identify appropriate infrastructure for the storage of samples for research purposes.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17644},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11414},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12335},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12860},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16375}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Life Science","Human Biology"],"domains":["Biobank","Biological sample","Tissue"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["Austria","Belgium","Bulgaria","Cyprus","Czech Republic","Estonia","Finland","Germany","Greece","Hungary","Italy","Latvia","Lithuania","Malta","Netherlands","Norway","Poland","Slovenia","Spain","Sweden","Switzerland","Turkey","United Kingdom","European Union"],"publications":[{"id":2635,"pubmed_id":27936342,"title":"BBMRI-ERIC Directory: 515 Biobanks with Over 60 Million Biological Samples","year":2016,"url":"http://doi.org/10.1089/bio.2016.0088","authors":"Petr Holub, Morris Swertz, Robert Reihs, David van Enckevort, Heimo Müller, and Jan-Eric Litton","journal":"Biopreservation and Biobanking","doi":"10.1089/bio.2016.0088","created_at":"2021-09-30T08:27:23.638Z","updated_at":"2021-09-30T08:27:23.638Z"}],"licence_links":[],"grants":[{"id":3620,"fairsharing_record_id":2857,"organisation_id":182,"relation":"maintains","created_at":"2021-09-30T09:26:21.495Z","updated_at":"2021-09-30T09:26:21.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":182,"name":"BBMRI-ERIC national nodes, Graz, Austria","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":8772,"fairsharing_record_id":2857,"organisation_id":181,"relation":"maintains","created_at":"2022-02-02T15:14:17.986Z","updated_at":"2022-02-03T16:41:32.479Z","grant_id":null,"is_lead":true,"saved_state":{"id":181,"name":"BBMRI-ERIC","types":["Undefined"],"is_lead":true,"relation":"maintains"}},{"id":8781,"fairsharing_record_id":2857,"organisation_id":220,"relation":"maintains","created_at":"2022-02-03T16:41:32.394Z","updated_at":"2022-02-03T16:41:32.394Z","grant_id":null,"is_lead":false,"saved_state":{"id":220,"name":"Biobanking and Biomolecular Resources Research Infrastructure (BBMRI), The Netherlands","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2858","type":"fairsharing_records","attributes":{"created_at":"2019-11-14T16:24:59.000Z","updated_at":"2023-12-15T10:29:32.221Z","metadata":{"doi":"10.25504/FAIRsharing.N4a3Pj","name":"BBMRI-ERIC CRC-Cohort","status":"ready","contacts":[{"contact_name":"Petr Holub","contact_email":"petr.holub@bbmri-eric.eu","contact_orcid":"0000-0002-5358-616X"}],"homepage":"http://www.bbmri-eric.eu/scientific-collaboration/colorectal-cancer-cohort/","citations":[],"identifier":2858,"description":"The colorectal cancer cohort (CRC-Cohort) is developed within the EU-funded project ADOPT BBMRI-ERIC (H2020) as a use case for piloting access to European biobanks. The CRC-Cohort is developed by BBMRI-ERIC, its National Nodes and BBMRI-ERIC partner biobanks, and it will become a permanent asset of the BBMRI-ERIC infrastructure after the end of the ADOPT project. The CRC-Cohort collection is a joint long-term European endeavor, which enables existing, well-established biobanks to connect with BBMRI-ERIC and obtain increased recognition and visibility along with new users and data. The CRC-Cohort is expected to enable high-quality research and innovation to improve colorectal cancer treatment. The cohort should enable a large spectrum of different types of research and is therefore not restricted to any specific research question. The procedures and IT tools developed within the CRC-Cohort are expected to be reusable for similar future efforts on different disease entities implemented using BBMRI-ERIC as an infrastructure.","abbreviation":"CRC-Cohort","data_curation":{"url":"https://www.bbmri-eric.eu/services/access-policies/","type":"manual/automated","notes":"Access Committee checks and asses all the data."},"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://negotiator.bbmri-eric.eu/login.xhtml","name":"BBMRI-ERIC Negotiator"}],"data_access_condition":{"url":"https://www.bbmri-eric.eu/wp-content/uploads/AoM_10_8_Access-Policy_FINAL_EU.pdf","type":"controlled","notes":"BBMRI-ERIC Policy for Access to and Sharing of Biological Samples and Data."},"resource_sustainability":{"url":"https://www.bbmri-eric.eu/eu-grants/","name":"EU Grants"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.bbmri-eric.eu/wp-content/uploads/AoM_10_8_Access-Policy_FINAL_EU.pdf","type":"controlled","notes":"BBMRI-ERIC Policy for Access to and Sharing of Biological Samples and Data."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001359","bsg-d001359"],"name":"FAIRsharing record for: BBMRI-ERIC CRC-Cohort","abbreviation":"CRC-Cohort","url":"https://fairsharing.org/10.25504/FAIRsharing.N4a3Pj","doi":"10.25504/FAIRsharing.N4a3Pj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The colorectal cancer cohort (CRC-Cohort) is developed within the EU-funded project ADOPT BBMRI-ERIC (H2020) as a use case for piloting access to European biobanks. The CRC-Cohort is developed by BBMRI-ERIC, its National Nodes and BBMRI-ERIC partner biobanks, and it will become a permanent asset of the BBMRI-ERIC infrastructure after the end of the ADOPT project. The CRC-Cohort collection is a joint long-term European endeavor, which enables existing, well-established biobanks to connect with BBMRI-ERIC and obtain increased recognition and visibility along with new users and data. The CRC-Cohort is expected to enable high-quality research and innovation to improve colorectal cancer treatment. The cohort should enable a large spectrum of different types of research and is therefore not restricted to any specific research question. The procedures and IT tools developed within the CRC-Cohort are expected to be reusable for similar future efforts on different disease entities implemented using BBMRI-ERIC as an infrastructure.","linked_records":[],"linking_records":[{"linking_record_name":"BBMRI-ERIC Collection","linking_record_id":5028,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17643},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11415}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Health Science","Life Science","Human Biology","Pathology"],"domains":["Biobank","Cancer","Histology"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Digital pathology"],"countries":["Austria","Belgium","Cyprus","Czech Republic","Finland","Germany","Italy","Malta","Poland","Switzerland","United Kingdom","European Union"],"publications":[],"licence_links":[{"licence_name":"BBMRI-ERIC Policy for Access to and Sharing of Biological Samples and Data","licence_id":58,"licence_url":"https://doi.org/10.5281/zenodo.1241061","link_id":1457,"relation":"undefined"}],"grants":[{"id":3621,"fairsharing_record_id":2858,"organisation_id":181,"relation":"funds","created_at":"2021-09-30T09:26:21.527Z","updated_at":"2021-09-30T09:32:50.547Z","grant_id":1801,"is_lead":false,"saved_state":{"id":181,"name":"BBMRI-ERIC","grant":"676550","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2859","type":"fairsharing_records","attributes":{"created_at":"2019-11-19T15:04:40.000Z","updated_at":"2023-12-15T10:32:41.855Z","metadata":{"doi":"10.25504/FAIRsharing.dOFQ7p","name":"Cyclebase","status":"ready","contacts":[{"contact_name":"Lars Juhl Jensen","contact_email":"lars.juhl.jensen@cpr.ku.dk"}],"homepage":"https://cyclebase.org/CyclebaseSearch","citations":[{"doi":"10.1093/nar/gku1092","pubmed_id":25378319,"publication_id":2630}],"identifier":2859,"description":"Cyclebase is a database to visualize and download results from genome-wide cell-cycle-related experiments. In addition to genome annotation, Cyclebase also provides mRNA data, protein expression data, and integrated cell-cycle phenotype information from high-content screens and model organism databases.","abbreviation":"Cyclebase","data_curation":{"type":"not found"},"support_links":[{"url":"https://cyclebase.org/About","name":"About","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001360","bsg-d001360"],"name":"FAIRsharing record for: Cyclebase","abbreviation":"Cyclebase","url":"https://fairsharing.org/10.25504/FAIRsharing.dOFQ7p","doi":"10.25504/FAIRsharing.dOFQ7p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cyclebase is a database to visualize and download results from genome-wide cell-cycle-related experiments. In addition to genome annotation, Cyclebase also provides mRNA data, protein expression data, and integrated cell-cycle phenotype information from high-content screens and model organism databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Bioinformatics"],"domains":["Model organism","Cell cycle","Post-translational protein modification","Protein expression","Phenotype","Messenger RNA","Genome"],"taxonomies":["Arabidopsis thaliana","Homo sapiens","Saccharomyces cerevisiae","Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":2630,"pubmed_id":25378319,"title":"Cyclebase 3.0: a multi-organism database on cell-cycle regulation and phenotypes.","year":2014,"url":"http://doi.org/10.1093/nar/gku1092","authors":"Santos A,Wernersson R,Jensen LJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1092","created_at":"2021-09-30T08:27:22.893Z","updated_at":"2021-09-30T11:29:40.821Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1018,"relation":"undefined"}],"grants":[{"id":3622,"fairsharing_record_id":2859,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:26:21.563Z","updated_at":"2021-09-30T09:26:21.563Z","grant_id":null,"is_lead":true,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2847","type":"fairsharing_records","attributes":{"created_at":"2019-11-04T17:22:43.000Z","updated_at":"2023-12-15T10:28:01.690Z","metadata":{"doi":"10.25504/FAIRsharing.ZPRtfG","name":"Agronomic Linked Data","status":"ready","contacts":[{"contact_name":"Pierre Larmande","contact_email":"Pierre.larmande@ird.fr","contact_orcid":"0000-0002-2923-9790"}],"homepage":"http://www.agrold.org/","citations":[{"doi":"10.1371/journal.pone.0198270","pubmed_id":30500839,"publication_id":2610}],"identifier":2847,"description":"The Agronomic Linked Data (AgroLD) is a knowledge-based system relying on Semantic Web technologies and exploiting standard domain ontologies, which integrates data about plant species of high interest for the plant science community. AgroLD is an RDF knowledge base of 100M triples created by annotating and integrating more than 50 datasets from 10 data sources and linked using 10 ontologies.","abbreviation":"AgroLD","data_curation":{"type":"not found"},"support_links":[{"url":"http://agrold.southgreen.fr/agrold/survey.jsp","name":"Send feedback","type":"Contact form"},{"url":"http://agrold.southgreen.fr/agrold/documentation.jsp","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/agro_ld","name":"@agro_ld","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","associated_tools":[{"url":"http://agrold.southgreen.fr/agrold/relfinder.jsp","name":"Explore Relationships / Network"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001348","bsg-d001348"],"name":"FAIRsharing record for: Agronomic Linked Data","abbreviation":"AgroLD","url":"https://fairsharing.org/10.25504/FAIRsharing.ZPRtfG","doi":"10.25504/FAIRsharing.ZPRtfG","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Agronomic Linked Data (AgroLD) is a knowledge-based system relying on Semantic Web technologies and exploiting standard domain ontologies, which integrates data about plant species of high interest for the plant science community. AgroLD is an RDF knowledge base of 100M triples created by annotating and integrating more than 50 datasets from 10 data sources and linked using 10 ontologies.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16740}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Genetics","Agronomy","Life Science","Plant Genetics"],"domains":["Phenotype","Protein","Pathway model","Gene","Germplasm"],"taxonomies":["Arabidopsis thaliana","Oryza barthii","Oryza brachyantha","Oryza glaberrima","Oryza meridionalis","Oryza sativa","Oryza sativa L. ssp. Indica","Oryza sativa L. ssp. japonica","Sorghum bicolor","Triticum aestivum","Triticum urartu"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["China","France"],"publications":[{"id":2610,"pubmed_id":30500839,"title":"Agronomic Linked Data (AgroLD): A knowledge-based system to enable integrative biology in agronomy.","year":2018,"url":"http://doi.org/10.1371/journal.pone.0198270","authors":"Venkatesan A,Tagny Ngompe G,Hassouni NE,Chentli I,Guignon V,Jonquet C,Ruiz M,Larmande P","journal":"PLoS One","doi":"10.1371/journal.pone.0198270","created_at":"2021-09-30T08:27:20.404Z","updated_at":"2021-09-30T08:27:20.404Z"}],"licence_links":[],"grants":[{"id":3599,"fairsharing_record_id":2847,"organisation_id":1441,"relation":"funds","created_at":"2021-09-30T09:26:20.755Z","updated_at":"2021-09-30T09:26:20.755Z","grant_id":null,"is_lead":false,"saved_state":{"id":1441,"name":"Institut Francais de Bioinformatique (IFB, French Institute of Bioinformatics), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3598,"fairsharing_record_id":2847,"organisation_id":1482,"relation":"maintains","created_at":"2021-09-30T09:26:20.738Z","updated_at":"2021-09-30T09:26:20.738Z","grant_id":null,"is_lead":false,"saved_state":{"id":1482,"name":"International Cooperation Center for Agricultural Research for Development (CIRAD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3600,"fairsharing_record_id":2847,"organisation_id":1373,"relation":"maintains","created_at":"2021-09-30T09:26:20.773Z","updated_at":"2021-09-30T09:26:20.773Z","grant_id":null,"is_lead":false,"saved_state":{"id":1373,"name":"Institut de Recherche pour le Developpement (IRD), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3601,"fairsharing_record_id":2847,"organisation_id":488,"relation":"funds","created_at":"2021-09-30T09:26:20.799Z","updated_at":"2021-09-30T09:26:20.799Z","grant_id":null,"is_lead":false,"saved_state":{"id":488,"name":"CGIAR Research Program on Rice","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2850","type":"fairsharing_records","attributes":{"created_at":"2019-11-06T15:04:14.000Z","updated_at":"2023-12-15T10:30:17.551Z","metadata":{"doi":"10.25504/FAIRsharing.V52Eqe","name":"PolyASite","status":"ready","contacts":[{"contact_name":"Mihaela Zavolan","contact_email":"polyasite-biozentrum@unibas.ch"}],"homepage":"https://polyasite.unibas.ch/","citations":[{"doi":"10.1093/nar/gkz918","pubmed_id":31617559,"publication_id":2625}],"identifier":2850,"description":"Alternative cleavage and polyadenylation (APA) of RNAs gives rise to isoforms with different terminal exons, which in turn determine the fate of the RNA and the encoded protein. APA has thus been implicated in the regulation of cell proliferation, differentiation and disease development. PolyASite is a portal to the curated set of poly(A) sites inferred from publicly available 3’ end sequencing datasets. It allows efficient finding, exploration and export of poly(A) sites in several organisms. In constructing our poly(A) site atlas, we applied uniform quality measures, including the flagging of putative internal priming sites, to input datasets originating from different 3’ end sequencing techniques, cell types or tissues. Through integrated processing of all data, we identified and clustered sites that are closely spaced and share polyadenylation signals, as these are likely the result of stochastic variations in processing. For each cluster, we identified the representative - most frequently processed - site and estimated the relative use in the transcriptome across all samples. While other existing alternative polyadenylation databases rely on a single experimental method, or on poly(A) site estimation from RNA-seq data, PolyASite is built on data from several 3’ end sequencing techniques. This allows a broader coverage of cell types and poly(A) sites to support further genomics studies.","abbreviation":"PolyASite","data_curation":{"type":"manual/automated"},"support_links":[{"url":"polyasite-biozentrum@unibas.ch","name":"polyasite-biozentrum@unibas.ch","type":"Support email"},{"url":"https://polyasite.unibas.ch/protocols","name":"Protocols","type":"Help documentation"},{"url":"https://polyasite.unibas.ch/about","name":"About","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/zavolanlab/PAQR_KAPAC","name":"PAQR / KAPAC"},{"url":"https://github.com/zavolanlab/TECtool","name":"TECtool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://polyasite.unibas.ch/","type":"open","notes":"Users can make suggestions by email to improve the resource"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001351","bsg-d001351"],"name":"FAIRsharing record for: PolyASite","abbreviation":"PolyASite","url":"https://fairsharing.org/10.25504/FAIRsharing.V52Eqe","doi":"10.25504/FAIRsharing.V52Eqe","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Alternative cleavage and polyadenylation (APA) of RNAs gives rise to isoforms with different terminal exons, which in turn determine the fate of the RNA and the encoded protein. APA has thus been implicated in the regulation of cell proliferation, differentiation and disease development. PolyASite is a portal to the curated set of poly(A) sites inferred from publicly available 3’ end sequencing datasets. It allows efficient finding, exploration and export of poly(A) sites in several organisms. In constructing our poly(A) site atlas, we applied uniform quality measures, including the flagging of putative internal priming sites, to input datasets originating from different 3’ end sequencing techniques, cell types or tissues. Through integrated processing of all data, we identified and clustered sites that are closely spaced and share polyadenylation signals, as these are likely the result of stochastic variations in processing. For each cluster, we identified the representative - most frequently processed - site and estimated the relative use in the transcriptome across all samples. While other existing alternative polyadenylation databases rely on a single experimental method, or on poly(A) site estimation from RNA-seq data, PolyASite is built on data from several 3’ end sequencing techniques. This allows a broader coverage of cell types and poly(A) sites to support further genomics studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12859}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Genetics","Transcriptomics"],"domains":["Expression data","Ribonucleic acid","RNA polyadenylation","RNA sequencing","Transcript"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2625,"pubmed_id":31617559,"title":"PolyASite 2.0: a consolidated atlas of polyadenylation sites from 3' end sequencing.","year":2019,"url":"http://doi.org/10.1093/nar/gkz918","authors":"Herrmann CJ,Schmidt R,Kanitz A,Artimo P,Gruber AJ,Zavolan M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz918","created_at":"2021-09-30T08:27:22.310Z","updated_at":"2021-09-30T11:29:40.729Z"}],"licence_links":[],"grants":[{"id":3606,"fairsharing_record_id":2850,"organisation_id":284,"relation":"maintains","created_at":"2021-09-30T09:26:20.912Z","updated_at":"2021-09-30T09:26:20.912Z","grant_id":null,"is_lead":true,"saved_state":{"id":284,"name":"Biozentrum, University of Basel, Basel, Switzerland","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2851","type":"fairsharing_records","attributes":{"created_at":"2019-11-08T21:48:50.000Z","updated_at":"2024-07-08T10:14:16.238Z","metadata":{"doi":"10.25504/FAIRsharing.sbikSF","name":"Duke Research Data Repository","status":"ready","contacts":[{"contact_email":"datamanagement@duke.edu"}],"homepage":"https://research.repository.duke.edu/","citations":[],"identifier":2851,"description":"The Research Data Repository is a service of the Duke University Libraries that provides curation, access, and preservation of research data produced by the Duke community. The Duke Research Data Repository accepts data, documentation, software, and other code related to the teaching and research mission of Duke University, including data linked to a publication, research project, and/or class projects. Data deposit is open to all members of the Duke Community with a valid netid. All data are openly accessible for direct download. All data go through a curation process to help ensure data are well described, in a structure and format that supports long-term preservation, and generally meet the FAIR Guiding Principles for data (i.e., Findable, Accessible, Interoperable, and Reusable). All data and documentation are openly accessible for download unless under embargo.","abbreviation":"Duke RDR","data_curation":{"url":"https://duke.app.box.com/v/RDR-curation-checklist","type":"manual","notes":"All data deposited with the RDR will be reviewed by repository curation staff to assist with readying the data for sharing."},"support_links":[{"url":"https://research.repository.duke.edu/about?locale=en","name":"Duke Research Data Repository Policies","type":"Help documentation"},{"url":"https://research.repository.duke.edu/help?locale=en","name":"Duke Research Data Repository Submission Guidelines","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013154","name":"re3data:r3d100013154","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://research.repository.duke.edu/help#submission","type":"controlled","notes":"Data deposit is only open to members of the Duke Community."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001352","bsg-d001352"],"name":"FAIRsharing record for: Duke Research Data Repository","abbreviation":"Duke RDR","url":"https://fairsharing.org/10.25504/FAIRsharing.sbikSF","doi":"10.25504/FAIRsharing.sbikSF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Research Data Repository is a service of the Duke University Libraries that provides curation, access, and preservation of research data produced by the Duke community. The Duke Research Data Repository accepts data, documentation, software, and other code related to the teaching and research mission of Duke University, including data linked to a publication, research project, and/or class projects. Data deposit is open to all members of the Duke Community with a valid netid. All data are openly accessible for direct download. All data go through a curation process to help ensure data are well described, in a structure and format that supports long-term preservation, and generally meet the FAIR Guiding Principles for data (i.e., Findable, Accessible, Interoperable, and Reusable). All data and documentation are openly accessible for download unless under embargo.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["All"],"user_defined_tags":["institutional repository","Open Access","Open Science"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1139,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)","licence_id":168,"licence_url":"https://creativecommons.org/licenses/by-nd/4.0/","link_id":1140,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1141,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","licence_id":173,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/","link_id":1142,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1143,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":1138,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1144,"relation":"undefined"},{"licence_name":"Creative Commons (CC) Public Domain Mark (PDM)","licence_id":198,"licence_url":"https://creativecommons.org/share-your-work/public-domain/pdm/","link_id":1145,"relation":"undefined"}],"grants":[{"id":3607,"fairsharing_record_id":2851,"organisation_id":788,"relation":"maintains","created_at":"2021-09-30T09:26:20.942Z","updated_at":"2021-09-30T09:26:20.942Z","grant_id":null,"is_lead":false,"saved_state":{"id":788,"name":"Duke University Libraries","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbGdFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--2e7f2da02b9f1a3813bd98ad9a80b0cf38f0e642/Screenshot%20from%202024-05-13%2011-47-11.png?disposition=inline","exhaustive_licences":true}},{"id":"2852","type":"fairsharing_records","attributes":{"created_at":"2019-11-11T14:42:27.000Z","updated_at":"2023-12-15T10:31:06.716Z","metadata":{"doi":"10.25504/FAIRsharing.e4abce","name":"PrimesDB","status":"ready","contacts":[{"contact_name":"Professor David Lynn","contact_email":"david.lynn@sahmri.com"}],"homepage":"http://primesdb.org/","identifier":2852,"description":"PRIMESDB is a systems biology platform that is being developed to enable the collection, integration and analysis of state-of-the-art genomics, proteomics and mathematical modelling data being generated by the PRIMES project. PRIMES is investigating the role of protein interaction machines in oncogenic signalling with a particular focus on the EGFR network. PRIMESDB provides a centralised knowledgebase and analysis platform for cancer protein interaction networks.","abbreviation":"PrimesDB","data_curation":{"type":"manual"},"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001353","bsg-d001353"],"name":"FAIRsharing record for: PrimesDB","abbreviation":"PrimesDB","url":"https://fairsharing.org/10.25504/FAIRsharing.e4abce","doi":"10.25504/FAIRsharing.e4abce","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PRIMESDB is a systems biology platform that is being developed to enable the collection, integration and analysis of state-of-the-art genomics, proteomics and mathematical modelling data being generated by the PRIMES project. PRIMES is investigating the role of protein interaction machines in oncogenic signalling with a particular focus on the EGFR network. PRIMESDB provides a centralised knowledgebase and analysis platform for cancer protein interaction networks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology"],"domains":["Protein interaction","Cancer","Drug metabolic process","Signaling","Drug interaction","Pathway model","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":3608,"fairsharing_record_id":2852,"organisation_id":1737,"relation":"maintains","created_at":"2021-09-30T09:26:20.967Z","updated_at":"2021-09-30T09:26:20.967Z","grant_id":null,"is_lead":false,"saved_state":{"id":1737,"name":"Lynn Group, EMBL Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3609,"fairsharing_record_id":2852,"organisation_id":1989,"relation":"funds","created_at":"2021-09-30T09:26:20.995Z","updated_at":"2021-09-30T09:26:20.995Z","grant_id":null,"is_lead":false,"saved_state":{"id":1989,"name":"National eResearch Collaboration Tools and Resources project (NeCTAR), Victoria, Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3610,"fairsharing_record_id":2852,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:21.038Z","updated_at":"2021-09-30T09:32:09.270Z","grant_id":1492,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"FP7-HEALTH-2011-278568","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2854","type":"fairsharing_records","attributes":{"created_at":"2019-11-12T13:32:59.000Z","updated_at":"2023-06-22T16:18:39.744Z","metadata":{"doi":"10.25504/FAIRsharing.uxwZ3f","name":"LocustMine","status":"deprecated","contacts":[{"contact_name":"Pengcheng Yang","contact_email":"yangpc@biols.ac.cn","contact_orcid":"0000-0001-5496-8357"}],"homepage":"http://locustmine.org:8080/locustmine/begin.do","citations":[{"doi":"10.1007/s13238-019-0648-6","pubmed_id":31292921,"publication_id":648}],"identifier":2854,"description":"An integrated Omics data warehouse for Locust, Locusta migratoria.\n","abbreviation":"LocustMine","data_curation":{"type":"not found"},"year_creation":2019,"data_versioning":"not found","associated_tools":[],"deprecation_date":"2023-05-05","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001355","bsg-d001355"],"name":"FAIRsharing record for: LocustMine","abbreviation":"LocustMine","url":"https://fairsharing.org/10.25504/FAIRsharing.uxwZ3f","doi":"10.25504/FAIRsharing.uxwZ3f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: An integrated Omics data warehouse for Locust, Locusta migratoria.\n","linked_records":[],"linking_records":[{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11697}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics","Bioinformatics","Transcriptomics"],"domains":["Expression data","Gene functional annotation","Protein interaction","Gene expression","Biological regulation","Gene","Homologous","Genome"],"taxonomies":["Locusta migratoria"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":648,"pubmed_id":31292921,"title":"Core transcriptional signatures of phase change in the migratory locust.","year":2019,"url":"http://doi.org/10.1007/s13238-019-0648-6","authors":"Yang P,Hou L,Wang X,Kang L","journal":"Protein Cell","doi":"10.1007/s13238-019-0648-6","created_at":"2021-09-30T08:23:31.311Z","updated_at":"2021-09-30T08:23:31.311Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":194,"relation":"undefined"}],"grants":[{"id":3616,"fairsharing_record_id":2854,"organisation_id":820,"relation":"maintains","created_at":"2021-09-30T09:26:21.289Z","updated_at":"2021-09-30T09:26:21.289Z","grant_id":null,"is_lead":true,"saved_state":{"id":820,"name":"Ecological Genomic and Adaptation Group, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2870","type":"fairsharing_records","attributes":{"created_at":"2019-12-05T13:20:31.000Z","updated_at":"2023-12-15T10:31:38.638Z","metadata":{"doi":"10.25504/FAIRsharing.yXPvpU","name":"TISSUES","status":"ready","contacts":[{"contact_name":"Jan Gorodkin","contact_email":"gorodkin@rth.dk"}],"homepage":"https://tissues.jensenlab.org/Search","citations":[{"doi":"10.1093/database/bay003","pubmed_id":29617745,"publication_id":2647}],"identifier":2870,"description":"TISSUES is a weekly updated web resource that integrates evidence on tissue expression from manually curated literature, proteomics and transcriptomics screens, and automatic text mining. All evidence to common protein identifiers and Brenda Tissue Ontology terms is mapped, and confidence scores that facilitate comparison of the different types and sources of evidence are assigned. These scores are visualized on a schematic human body to provide a convenient overview.","abbreviation":"TISSUES","data_curation":{"url":"https://tissues.jensenlab.org/About","type":"manual/automated","notes":"Data comes from manually curated literature, proteomics and transcriptomics screens, and automatic text mining."},"support_links":[{"url":"lars.juhl.jensen@cpr.ku.dk","name":"Lars Juhl Jensen","type":"Support email"},{"url":"https://tissues.jensenlab.org/About","name":"About","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001371","bsg-d001371"],"name":"FAIRsharing record for: TISSUES","abbreviation":"TISSUES","url":"https://fairsharing.org/10.25504/FAIRsharing.yXPvpU","doi":"10.25504/FAIRsharing.yXPvpU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TISSUES is a weekly updated web resource that integrates evidence on tissue expression from manually curated literature, proteomics and transcriptomics screens, and automatic text mining. All evidence to common protein identifiers and Brenda Tissue Ontology terms is mapped, and confidence scores that facilitate comparison of the different types and sources of evidence are assigned. These scores are visualized on a schematic human body to provide a convenient overview.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12863}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Proteomics","Transcriptomics"],"domains":["Expression data","Text mining","Gene expression","RNA sequencing","DNA microarray"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Sus scrofa"],"user_defined_tags":[],"countries":["Denmark"],"publications":[{"id":2647,"pubmed_id":29617745,"title":"TISSUES 2.0: an integrative web resource on mammalian tissue expression.","year":2018,"url":"http://doi.org/10.1093/database/bay003","authors":"Palasca O,Santos A,Stolte C,Gorodkin J,Jensen LJ","journal":"Database (Oxford)","doi":"10.1093/database/bay003","created_at":"2021-09-30T08:27:25.046Z","updated_at":"2021-09-30T08:27:25.046Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1504,"relation":"undefined"}],"grants":[{"id":3652,"fairsharing_record_id":2870,"organisation_id":568,"relation":"maintains","created_at":"2021-09-30T09:26:22.493Z","updated_at":"2021-09-30T09:26:22.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3650,"fairsharing_record_id":2870,"organisation_id":2197,"relation":"funds","created_at":"2021-09-30T09:26:22.422Z","updated_at":"2021-09-30T09:29:54.493Z","grant_id":462,"is_lead":false,"saved_state":{"id":2197,"name":"Novo Nordisk Foundation, Denmark","grant":"NNF14CC0001","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3655,"fairsharing_record_id":2870,"organisation_id":638,"relation":"funds","created_at":"2021-09-30T09:26:22.593Z","updated_at":"2021-09-30T09:32:03.062Z","grant_id":1446,"is_lead":false,"saved_state":{"id":638,"name":"Danish Council for Independent Research, Denmark","grant":"DFF-4005-00443","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3649,"fairsharing_record_id":2870,"organisation_id":2196,"relation":"maintains","created_at":"2021-09-30T09:26:22.380Z","updated_at":"2021-09-30T09:26:22.380Z","grant_id":null,"is_lead":false,"saved_state":{"id":2196,"name":"Novo Nordisk Foundation Center for Protein Research (CPR), Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3653,"fairsharing_record_id":2870,"organisation_id":568,"relation":"funds","created_at":"2021-09-30T09:26:22.525Z","updated_at":"2021-09-30T09:26:22.525Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3654,"fairsharing_record_id":2870,"organisation_id":431,"relation":"maintains","created_at":"2021-09-30T09:26:22.561Z","updated_at":"2021-09-30T09:26:22.561Z","grant_id":null,"is_lead":false,"saved_state":{"id":431,"name":"Center for non-coding RNA in Technology and Health (RTH), Department of Veterinary and Animal Sciences, Faculty for Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3656,"fairsharing_record_id":2870,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:22.627Z","updated_at":"2021-09-30T09:29:45.594Z","grant_id":389,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U54 CA189205 and U24 224370","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3651,"fairsharing_record_id":2870,"organisation_id":1354,"relation":"funds","created_at":"2021-09-30T09:26:22.462Z","updated_at":"2021-09-30T09:30:51.111Z","grant_id":901,"is_lead":false,"saved_state":{"id":1354,"name":"Innovation Fund Denmark","grant":"0603-00320B","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2871","type":"fairsharing_records","attributes":{"created_at":"2019-12-05T13:57:18.000Z","updated_at":"2023-12-15T10:31:23.997Z","metadata":{"doi":"10.25504/FAIRsharing.83bf78","name":"LEAFDATA","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@leafdata.org"}],"homepage":"http://www.leafdata.org/","citations":[{"doi":"10.1186/s13007-016-0115-9","pubmed_id":26884807,"publication_id":1057}],"identifier":2871,"description":"The LEAFDATA resource collects information from primary research articles focusing on Arabidopsis leaf growth and development. The result section of selected papers is manually annotated and organized into distinct categories. Text fragments of the manuscripts are displayed with links to the original papers on PubMed.","abbreviation":"LEAFDATA","data_curation":{"url":"http://www.leafdata.org/Aboutus.cfm","type":"manual/automated"},"support_links":[{"url":"http://www.leafdata.org/contactus.cfm","name":"Contact Form","type":"Contact form"},{"url":"dszakonyi@igc.gulbenkian.pt","name":"Dra Szakonyi","type":"Support email"},{"url":"http://www.leafdata.org/faq.cfm","name":"LEAFDATA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.leafdata.org/news.cfm","name":"News","type":"Help documentation"},{"url":"http://www.leafdata.org/Aboutus.cfm","name":"About","type":"Help documentation"},{"url":"https://twitter.com/InfoLeafdata","name":"@InfoLeafdata","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001372","bsg-d001372"],"name":"FAIRsharing record for: LEAFDATA","abbreviation":"LEAFDATA","url":"https://fairsharing.org/10.25504/FAIRsharing.83bf78","doi":"10.25504/FAIRsharing.83bf78","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LEAFDATA resource collects information from primary research articles focusing on Arabidopsis leaf growth and development. The result section of selected papers is manually annotated and organized into distinct categories. Text fragments of the manuscripts are displayed with links to the original papers on PubMed.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Bioinformatics","Genetics","Plant Anatomy","Plant Genetics"],"domains":["Expression data","Protein interaction","Biological process","Gene expression","Regulation of gene expression","Genetic interaction","Gene feature","Phenotype"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["Portugal"],"publications":[{"id":1057,"pubmed_id":26884807,"title":"LEAFDATA: a literature-curated database for Arabidopsis leaf development.","year":2016,"url":"http://doi.org/10.1186/s13007-016-0115-9","authors":"Szakonyi D","journal":"Plant Methods","doi":"10.1186/s13007-016-0115-9","created_at":"2021-09-30T08:24:17.056Z","updated_at":"2021-09-30T08:24:17.056Z"}],"licence_links":[],"grants":[{"id":3657,"fairsharing_record_id":2871,"organisation_id":919,"relation":"funds","created_at":"2021-09-30T09:26:22.652Z","updated_at":"2021-09-30T09:30:30.082Z","grant_id":737,"is_lead":false,"saved_state":{"id":919,"name":"European Commission FP6","grant":"LSHG-CT-2006-037704","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9390,"fairsharing_record_id":2871,"organisation_id":1450,"relation":"maintains","created_at":"2022-04-11T12:07:35.171Z","updated_at":"2022-04-11T12:07:35.171Z","grant_id":null,"is_lead":true,"saved_state":{"id":1450,"name":"Instituto Gulbenkian de Ciencia Oeiras, Lisboa, Portugal","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2873","type":"fairsharing_records","attributes":{"created_at":"2019-12-10T13:11:26.000Z","updated_at":"2023-12-15T10:33:12.250Z","metadata":{"doi":"10.25504/FAIRsharing.83jovl","name":"T-psi-C","status":"ready","contacts":[{"contact_name":"Marcin Sajek","contact_email":"marcin.sajek@igcz.poznan.pl","contact_orcid":"0000-0002-4115-4191"}],"homepage":"http://tpsic.igcz.poznan.pl/","citations":[{"doi":"10.1093/nar/gkz922","pubmed_id":31624839,"publication_id":2651}],"identifier":2873,"description":"T-psi-C is a database of tRNA sequences and 3D tRNA structures. The T-psi-C database can be continuously updated by any member of the scientific community.","abbreviation":"tpsic","data_curation":{"type":"manual","notes":"see doi:10.1093/nar/gkz922"},"support_links":[{"url":"http://tpsic.igcz.poznan.pl/info/about/","name":"About","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","associated_tools":[{"url":"https://www.elastic.co/","name":"Elasticsearch -"},{"url":"ftp://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/LATEST","name":"BLAST+ 2.7.1"},{"url":"https://www.tbi.univie.ac.at/RNA/ViennaRNA/doc/html/wrappers.html","name":"RNAlib 2.4.14"}],"data_access_condition":{"url":"https://tpsic.igcz.poznan.pl/trna/trna-detail/1/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://tpsic.igcz.poznan.pl/accounts/login/?next=/trna/trna-deposition/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001374","bsg-d001374"],"name":"FAIRsharing record for: T-psi-C","abbreviation":"tpsic","url":"https://fairsharing.org/10.25504/FAIRsharing.83jovl","doi":"10.25504/FAIRsharing.83jovl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: T-psi-C is a database of tRNA sequences and 3D tRNA structures. The T-psi-C database can be continuously updated by any member of the scientific community.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12864}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Structural Biology"],"domains":["Molecular structure","Nucleic acid sequence","RNA sequence","Structure","Transfer RNA"],"taxonomies":["All"],"user_defined_tags":["Mitochondrial tRNA"],"countries":["Poland"],"publications":[{"id":2651,"pubmed_id":31624839,"title":"T-psi-C: user friendly database of tRNA sequences and structures","year":2019,"url":"http://doi.org/10.1093/nar/gkz922","authors":"Sajek MP, Woźniak T, Sprinzl M, Jaruzelska J, Barciszewski J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz922","created_at":"2021-09-30T08:27:25.571Z","updated_at":"2021-09-30T08:27:25.571Z"}],"licence_links":[],"grants":[{"id":3660,"fairsharing_record_id":2873,"organisation_id":1418,"relation":"maintains","created_at":"2021-09-30T09:26:22.744Z","updated_at":"2021-09-30T09:26:22.744Z","grant_id":null,"is_lead":true,"saved_state":{"id":1418,"name":"Institute of Human Genetics, Polish Academy of Sciences","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3661,"fairsharing_record_id":2873,"organisation_id":1408,"relation":"maintains","created_at":"2021-09-30T09:26:22.777Z","updated_at":"2021-09-30T09:26:22.777Z","grant_id":null,"is_lead":false,"saved_state":{"id":1408,"name":"Institute of Bioorganic Chemistry, Polish Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2862","type":"fairsharing_records","attributes":{"created_at":"2019-12-02T08:53:05.000Z","updated_at":"2023-12-15T10:31:01.981Z","metadata":{"doi":"10.25504/FAIRsharing.Ckg0bl","name":"NERC Vocabulary Server","status":"ready","contacts":[{"contact_name":"NVS Vocabulary Management team","contact_email":"vocab.services@bodc.ac.uk"}],"homepage":"https://www.bodc.ac.uk/resources/vocabularies/","identifier":2862,"description":"The NERC Vocabulary Server provides access to standardised lists of terms and taxonomies related to a wide range of concepts which are used to facilitate data markup, interoperability and discovery in the marine and associated earth science domains. Some of these vocabularies are totally managed by BODC, others are managed by BODC on behalf of other organisations, while some are owned and, when relevant, managed by external governance authorities.","abbreviation":"NVS","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/nvs-vocabs","name":"NERC Vocabulary Server Github repositories","type":"Github"},{"url":"http://vocab.nerc.ac.uk/","name":"Technical documentation for the NERC Vocabulary Server","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/","name":"NVS Search"},{"url":"http://seadatanet.maris2.nl/v_bodc_vocab_v2/welcome.asp","name":"SeaDataNet Common Vocabulary Search Interface"},{"url":"https://www.bodc.ac.uk/resources/vocabularies/vocabulary_editor/","name":"Vocabulary editor"},{"url":"http://seadatanet.maris2.nl/bandit/browse_step.php","name":"P01 Vocabulary - Facet search on semantic components"},{"url":"https://www.bodc.ac.uk/resources/vocabularies/vocabulary_builder/","name":"Vocabulary Builder"}],"data_access_condition":{"type":"open","notes":"Registration required"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.bodc.ac.uk/submit_data/data_planning/deposit_conditions/","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001363","bsg-d001363"],"name":"FAIRsharing record for: NERC Vocabulary Server","abbreviation":"NVS","url":"https://fairsharing.org/10.25504/FAIRsharing.Ckg0bl","doi":"10.25504/FAIRsharing.Ckg0bl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NERC Vocabulary Server provides access to standardised lists of terms and taxonomies related to a wide range of concepts which are used to facilitate data markup, interoperability and discovery in the marine and associated earth science domains. Some of these vocabularies are totally managed by BODC, others are managed by BODC on behalf of other organisations, while some are owned and, when relevant, managed by external governance authorities.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Data Management","Marine Biology","Earth Science","Ontology and Terminology","Oceanography"],"domains":["Environmental contaminant","Marine environment","Climate","Device"],"taxonomies":["All"],"user_defined_tags":["Chemical oceanography","Natural Resources, Earth and Environment"],"countries":["United Kingdom","European Union"],"publications":[{"id":2648,"pubmed_id":null,"title":"Ocean Data Standards Volume 4: Technology for SeaDataNet Controlled Vocabularies for describing Marine and Oceanographic Datasets – A joint Proposal by SeaDataNet and ODIP projects","year":2019,"url":"https://www.iode.org/index.php?option=com_oe\u0026task=viewDocumentRecord\u0026docID=25099","authors":"A. Leadbetter, R. Lowry, O. Clements, Vocabulary Management Group","journal":"IOC Manual and Guides No. 54 Volume 4","doi":null,"created_at":"2021-09-30T08:27:25.155Z","updated_at":"2021-09-30T08:27:25.155Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2219,"relation":"undefined"}],"grants":[{"id":9074,"fairsharing_record_id":2862,"organisation_id":2090,"relation":"funds","created_at":"2022-03-30T14:23:35.999Z","updated_at":"2022-03-30T14:23:35.999Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3628,"fairsharing_record_id":2862,"organisation_id":2534,"relation":"undefined","created_at":"2021-09-30T09:26:21.785Z","updated_at":"2021-09-30T09:26:21.785Z","grant_id":null,"is_lead":false,"saved_state":{"id":2534,"name":"SeaDataNet AISBL","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":3626,"fairsharing_record_id":2862,"organisation_id":319,"relation":"maintains","created_at":"2021-09-30T09:26:21.719Z","updated_at":"2021-09-30T09:26:21.719Z","grant_id":null,"is_lead":true,"saved_state":{"id":319,"name":"British Oceanographic Data Centre (BODC), Liverpool, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2863","type":"fairsharing_records","attributes":{"created_at":"2019-12-18T13:40:17.000Z","updated_at":"2023-12-21T12:02:26.708Z","metadata":{"doi":"10.25504/FAIRsharing.Mkl9RR","name":"Ontology Lookup Service","status":"ready","contacts":[{"contact_name":"OLS Support","contact_email":"ols-support@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/ols/index","citations":[],"identifier":2863,"description":"The Ontology Lookup Service (OLS) is a repository for biomedical ontologies that aims to provide a single point of access to the latest ontology versions. You can browse the ontologies through the website as well as programmatically via the OLS API. In 2023 OLS was updated to scale better and with a new user interface. OLS is used within life sciences but also in the fields of chemistry and engineering. Code is available under an Apache 2.0 licence.","abbreviation":"OLS","data_curation":{"type":"not found"},"support_links":[{"url":"https://listserver.ebi.ac.uk/mailman/listinfo/ols-announce","name":"OLS Mailing list","type":"Mailing list"},{"url":"https://www.ebi.ac.uk/ols4/about","name":"About OLS","type":"Help documentation"},{"url":"https://github.com/EBISPOT/ols4","name":"Github Repository","type":"Github"},{"url":"https://twitter.com/EBIOLS","name":"@EBIOLS","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://www.ebi.ac.uk/spot/oxo/","name":"OxO Ontology Mapping Tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010413","name":"re3data:r3d100010413","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006596","name":"SciCrunch:RRID:SCR_006596","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Users can send feedback, enquiries or suggestion about OLS, request a new ontology by using the GitHub issue tracker."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001364","bsg-d001364"],"name":"FAIRsharing record for: Ontology Lookup Service","abbreviation":"OLS","url":"https://fairsharing.org/10.25504/FAIRsharing.Mkl9RR","doi":"10.25504/FAIRsharing.Mkl9RR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ontology Lookup Service (OLS) is a repository for biomedical ontologies that aims to provide a single point of access to the latest ontology versions. You can browse the ontologies through the website as well as programmatically via the OLS API. In 2023 OLS was updated to scale better and with a new user interface. OLS is used within life sciences but also in the fields of chemistry and engineering. Code is available under an Apache 2.0 licence.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11416},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11890},{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12263}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Ontology and Terminology","Data Visualization"],"domains":["Classification","Knowledge representation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":613,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":614,"relation":"undefined"}],"grants":[{"id":3631,"fairsharing_record_id":2863,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:26:21.858Z","updated_at":"2021-09-30T09:30:59.340Z","grant_id":966,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"654248","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3629,"fairsharing_record_id":2863,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:21.809Z","updated_at":"2021-09-30T09:26:21.809Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3630,"fairsharing_record_id":2863,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:21.833Z","updated_at":"2021-09-30T09:29:37.683Z","grant_id":332,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"284209","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2860","type":"fairsharing_records","attributes":{"created_at":"2019-11-20T12:34:45.000Z","updated_at":"2023-12-15T10:30:53.010Z","metadata":{"doi":"10.25504/FAIRsharing.qgMKai","name":"DNA Modification Database","status":"ready","contacts":[{"contact_name":"Dr. Michael Hoffman","contact_email":"michael.hoffman@utoronto.ca"}],"homepage":"https://dnamod.hoffmanlab.org/","citations":[{"doi":"10.1186/s13321-019-0349-4","pubmed_id":31016417,"publication_id":506}],"identifier":2860,"description":"DNAmod is an open-source database (https://dnamod.hoffmanlab.org) that catalogues DNA modifications and provides a single source to learn about their properties. The database annotates the chemical properties and structures of all curated modified DNA bases, and a much larger list of candidate chemical entities. DNAmod includes manual annotations of available sequencing methods, descriptions of their occurrence in nature, and provides existing and suggested nomenclature. DNAmod enables researchers to rapidly review previous work, select mapping techniques, and track recent developments concerning modified bases of interest.","abbreviation":"DNAmod","data_curation":{"url":"https://dnamod.hoffmanlab.org/about.html","type":"manual"},"support_links":[{"url":"https://bitbucket.org/hoffmanlab/dnamod/issues","name":"Bitbucket Issue Tracker","type":"Forum"},{"url":"https://dnamod.hoffmanlab.org/about.html","name":"About","type":"Help documentation"},{"url":"https://dnamod.hoffmanlab.org/contact.html","name":"Contact Information","type":"Help documentation"},{"url":"https://bitbucket.org/hoffmanlab/dnamod/","name":"Bitbucket Project Page","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013918","name":"re3data:r3d100013918","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001361","bsg-d001361"],"name":"FAIRsharing record for: DNA Modification Database","abbreviation":"DNAmod","url":"https://fairsharing.org/10.25504/FAIRsharing.qgMKai","doi":"10.25504/FAIRsharing.qgMKai","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DNAmod is an open-source database (https://dnamod.hoffmanlab.org) that catalogues DNA modifications and provides a single source to learn about their properties. The database annotates the chemical properties and structures of all curated modified DNA bases, and a much larger list of candidate chemical entities. DNAmod includes manual annotations of available sequencing methods, descriptions of their occurrence in nature, and provides existing and suggested nomenclature. DNAmod enables researchers to rapidly review previous work, select mapping techniques, and track recent developments concerning modified bases of interest.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12861}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenomics","Bioinformatics"],"domains":["Nucleotide"],"taxonomies":["All"],"user_defined_tags":["DNA modification"],"countries":["Canada"],"publications":[{"id":506,"pubmed_id":31016417,"title":"DNAmod: the DNA modification database.","year":2019,"url":"http://doi.org/10.1186/s13321-019-0349-4","authors":"Sood AJ,Viner C,Hoffman MM","journal":"J Cheminform","doi":"10.1186/s13321-019-0349-4","created_at":"2021-09-30T08:23:15.144Z","updated_at":"2021-09-30T08:23:15.144Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1332,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":1330,"relation":"undefined"}],"grants":[{"id":3623,"fairsharing_record_id":2860,"organisation_id":2356,"relation":"maintains","created_at":"2021-09-30T09:26:21.606Z","updated_at":"2021-09-30T09:26:21.606Z","grant_id":null,"is_lead":true,"saved_state":{"id":2356,"name":"Princess Margaret Cancer Centre, Toronto, Canada","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2874","type":"fairsharing_records","attributes":{"created_at":"2019-12-13T20:12:10.000Z","updated_at":"2024-03-21T13:58:56.033Z","metadata":{"doi":"10.25504/FAIRsharing.aI1J5W","name":"GlyGen: Computational and Informatics Resources for Glycoscience","status":"ready","contacts":[{"contact_name":"GlyGen Contact Us","contact_email":"myglygen@gmail.com"}],"homepage":"https://www.glygen.org/","citations":[{"doi":"cwz080","pubmed_id":31616925,"publication_id":2658}],"identifier":2874,"description":"GlyGen is a data integration and dissemination project for carbohydrate and glycoconjugate related data. GlyGen retrieves information from multiple international data sources and integrates and harmonizes this data. This web portal allows exploring this data and performing unique searches that cannot be executed in any of the integrated databases alone.","abbreviation":"GlyGen","data_curation":{"url":"https://www.glygen.org/about/","type":"manual/automated","notes":"Standardized data under open license allowing sharing and reuse of data with proper attribution that can be manually and programmatically accessed.​"},"support_links":[{"url":"https://glygen.org/contact.html","name":"GlyGen: Contact Us","type":"Contact form"},{"url":"https://twitter.com/gly_gen","name":"GlyGen Twitter","type":"Twitter"}],"year_creation":2018,"data_versioning":"not found","data_access_condition":{"url":"https://www.glygen.org/about/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001375","bsg-d001375"],"name":"FAIRsharing record for: GlyGen: Computational and Informatics Resources for Glycoscience","abbreviation":"GlyGen","url":"https://fairsharing.org/10.25504/FAIRsharing.aI1J5W","doi":"10.25504/FAIRsharing.aI1J5W","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GlyGen is a data integration and dissemination project for carbohydrate and glycoconjugate related data. GlyGen retrieves information from multiple international data sources and integrates and harmonizes this data. This web portal allows exploring this data and performing unique searches that cannot be executed in any of the integrated databases alone.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19994}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Glycosylation","Glycosylated residue"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["glycobiology","glycoconjugate","glycoinformatics","glycoprotein","glycoscience"],"countries":["United States"],"publications":[{"id":2658,"pubmed_id":31616925,"title":"GlyGen: Computational and Informatics Resources for Glycoscience.","year":2019,"url":"http://doi.org/10.1093/glycob/cwz080","authors":"York WS,Mazumder R,Ranzinger R,Edwards N,Kahsay R,Aoki-Kinoshita KF,Campbell MP,Cummings RD,Feizi T,Martin M,Natale DA,Packer NH,Woods RJ,Agarwal G,Arpinar S,Bhat S,Blake J,Castro LJG,Fochtman B,Gildersleeve J,Goldman R,Holmes X,Jain V,Kulkarni S,Mahadik R,Mehta A,Mousavi R,Nakarakommula S,Navelkar R,Pattabiraman N,Pierce MJ,Ross K,Vasudev P,Vora J,Williamson T,Zhang W","journal":"Glycobiology","doi":"cwz080","created_at":"2021-09-30T08:27:26.380Z","updated_at":"2021-09-30T08:27:26.380Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":36,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":37,"relation":"undefined"}],"grants":[{"id":3663,"fairsharing_record_id":2874,"organisation_id":573,"relation":"maintains","created_at":"2021-09-30T09:26:22.826Z","updated_at":"2021-09-30T09:26:22.826Z","grant_id":null,"is_lead":true,"saved_state":{"id":573,"name":"Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, United States","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3664,"fairsharing_record_id":2874,"organisation_id":1130,"relation":"maintains","created_at":"2021-09-30T09:26:22.908Z","updated_at":"2021-09-30T09:26:22.908Z","grant_id":null,"is_lead":true,"saved_state":{"id":1130,"name":"George Washington University, DC, USA","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":11558,"fairsharing_record_id":2874,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:55.198Z","updated_at":"2024-03-21T13:58:55.916Z","grant_id":619,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"1U01GM125267-01","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2881","type":"fairsharing_records","attributes":{"created_at":"2020-01-29T07:18:27.000Z","updated_at":"2022-07-20T10:00:56.980Z","metadata":{"doi":"10.25504/FAIRsharing.4APEVR","name":"Global Project Management System Tuberculosis Transportal","status":"deprecated","contacts":[{"contact_name":"Bindu Madhuri K","contact_email":"madhu39399@gmail.com","contact_orcid":"0000-0002-0875-4419"}],"homepage":"https://tbindia.indiancst.com/GPMSTBTransportal/","citations":[],"identifier":2881,"description":"Global Project Management System Tuberculosis Transportal (GPMS TB Transportal) is a digital platform piloting TB surveillance in the 4 districts of Karnataka. It is an integrated dashboard that contains the information of all the TB control programs. As per section 3.3 of the Sustainable Development Goals (SDG) of the United Nations, health for all and eradication of TB and Malaria by 2030 are identified targets. GPMS TB Transportal was created to aid the identification of new TB cases, improve treatment compliance, and reduce the death of TB patients in Karnataka. This resource will also be used to develop early TB presumptive patients' diagnoses.","abbreviation":"GPMS TB Transportal","data_curation":{},"support_links":[{"url":"rajaseevan@gmail.com","name":"Shri. RAJA SEEVAN","type":"Support email"},{"url":"rajaseevan@indiancst.in","name":"Shri. RAJA SEEVAN","type":"Support email"},{"url":"https://tbindia.indiancst.com/GPMSTBTransportal/index.php/acfdailyreport/live_graph","name":"Analytics","type":"Help documentation"},{"url":"https://tbindia.indiancst.com/GPMSTBTransportal/index.php/elearning/usermanual","name":"GPMS User Manual","type":"Help documentation"},{"url":"https://tbindia.indiancst.com/GPMSTBTransportal/index.php/elearning/databaseframework","name":"Database Framework","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","deprecation_date":"2022-06-27","deprecation_reason":"This resource's homepage is no longer active, and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001382","bsg-d001382"],"name":"FAIRsharing record for: Global Project Management System Tuberculosis Transportal","abbreviation":"GPMS TB Transportal","url":"https://fairsharing.org/10.25504/FAIRsharing.4APEVR","doi":"10.25504/FAIRsharing.4APEVR","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Global Project Management System Tuberculosis Transportal (GPMS TB Transportal) is a digital platform piloting TB surveillance in the 4 districts of Karnataka. It is an integrated dashboard that contains the information of all the TB control programs. As per section 3.3 of the Sustainable Development Goals (SDG) of the United Nations, health for all and eradication of TB and Malaria by 2030 are identified targets. GPMS TB Transportal was created to aid the identification of new TB cases, improve treatment compliance, and reduce the death of TB patients in Karnataka. This resource will also be used to develop early TB presumptive patients' diagnoses.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12867}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Epidemiology"],"domains":["Disease onset","Disease","Diagnosis","Treatment"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[{"licence_name":"National Data Sharing and Accessibility Policy (NDSAP)","licence_id":544,"licence_url":"https://tbindia.indiancst.com/GPMSTBTransportal/assets/uploads/images/NDSAP%20Implementation%20Guidelines%202.4.pdf","link_id":117,"relation":"undefined"},{"licence_name":"National eHealth Authority (NeHA)","licence_id":545,"licence_url":"https://tbindia.indiancst.com/GPMSTBTransportal/assets/uploads/images/NeHA%20PDF.pdf","link_id":124,"relation":"undefined"}],"grants":[{"id":3684,"fairsharing_record_id":2881,"organisation_id":692,"relation":"maintains","created_at":"2021-09-30T09:26:23.552Z","updated_at":"2021-09-30T09:26:23.552Z","grant_id":null,"is_lead":true,"saved_state":{"id":692,"name":"Department of Community Medicine, M S. Ramaiah Medical College, Bengaluru, Karnataka, India","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":3682,"fairsharing_record_id":2881,"organisation_id":1329,"relation":"maintains","created_at":"2021-09-30T09:26:23.482Z","updated_at":"2021-09-30T09:26:23.482Z","grant_id":null,"is_lead":true,"saved_state":{"id":1329,"name":"Indian Centre for Social Transformation (Indian CST), Bengaluru, Karnataka, India","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":3683,"fairsharing_record_id":2881,"organisation_id":2402,"relation":"maintains","created_at":"2021-09-30T09:26:23.510Z","updated_at":"2021-09-30T09:26:23.510Z","grant_id":null,"is_lead":true,"saved_state":{"id":2402,"name":"Ramaiah Public Policy Center, Bengaluru, Karnataka, India","types":["Charitable foundation"],"is_lead":true,"relation":"maintains"}},{"id":3681,"fairsharing_record_id":2881,"organisation_id":1329,"relation":"funds","created_at":"2021-09-30T09:26:23.460Z","updated_at":"2021-09-30T09:31:31.994Z","grant_id":1212,"is_lead":false,"saved_state":{"id":1329,"name":"Indian Centre for Social Transformation (Indian CST), Bengaluru, Karnataka, India","grant":"Self funded by the trustees and well wishers of Indian Centre for Social Transformation and certain funds from GOK(Government of Karnataka)","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2882","type":"fairsharing_records","attributes":{"created_at":"2020-01-14T09:19:25.000Z","updated_at":"2023-12-15T10:32:02.760Z","metadata":{"doi":"10.25504/FAIRsharing.z0rqUk","name":"Food and Agriculture Organization Corporate Statistical Database","status":"ready","contacts":[{"contact_name":"Francesco N Tubiello","contact_email":"francesco.tubiello@fao.org","contact_orcid":"0000-0003-4617-4690"}],"homepage":"http://www.fao.org/faostat/en/#data","citations":[{"doi":"10.1088/1748-9326/8/1/015009","publication_id":526}],"identifier":2882,"description":"Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available.","abbreviation":"FAOSTAT","data_curation":{"type":"not found"},"support_links":[{"url":"faostat@fao.org","name":"FAO Helpdesk","type":"Support email"},{"url":"http://www.fao.org/faostat/en/#faq","name":"FAOSTAT FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.fao.org/faostat/en/#definitions","name":"Definitions and Standards","type":"Help documentation"},{"url":"https://twitter.com/faostatistics","name":"@faostatistics","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Food_and_Agriculture_Organization_Corporate_Statistical_Database","name":"FAOSTAT Wikipedia Entry","type":"Wikipedia"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010847","name":"re3data:r3d100010847","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006914","name":"SciCrunch:RRID:SCR_006914","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001383","bsg-d001383"],"name":"FAIRsharing record for: Food and Agriculture Organization Corporate Statistical Database","abbreviation":"FAOSTAT","url":"https://fairsharing.org/10.25504/FAIRsharing.z0rqUk","doi":"10.25504/FAIRsharing.z0rqUk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) provides free access to food and agriculture data for over 245 countries and territories and covers all FAO regional groupings from 1961 to the most recent year available.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Forest Management","Animal Breeding","Animal Husbandry","Food Security","Agriculture"],"domains":["Food","Environmental contaminant"],"taxonomies":["Not applicable"],"user_defined_tags":["Grassland Research"],"countries":["Worldwide"],"publications":[{"id":526,"pubmed_id":null,"title":"The FAOSTAT database of greenhouse gas emissions from agriculture","year":2013,"url":"http://doi.org/10.1088/1748-9326/8/1/015009","authors":"Tubiello, F.N. et al","journal":"Environmental Research Letters","doi":"10.1088/1748-9326/8/1/015009","created_at":"2021-09-30T08:23:17.384Z","updated_at":"2021-09-30T08:23:17.384Z"},{"id":1333,"pubmed_id":null,"title":"Greenhouse Gas Emissions Due to Agriculture","year":2019,"url":"http://doi.org/10.1016/B978-0-08-100596-5.21996-3","authors":"Tubiello F.N.","journal":"Elsevier Encyclopedia of Food Systems","doi":"10.1016/B978-0-08-100596-5.21996-3","created_at":"2021-09-30T08:24:49.187Z","updated_at":"2021-09-30T08:24:49.187Z"},{"id":3036,"pubmed_id":25580828,"title":"The Contribution of Agriculture, Forestry and other Land Use activities to Global Warming, 1990-2012.","year":2015,"url":"http://doi.org/10.1111/gcb.12865","authors":"Tubiello FN,Salvatore M,Ferrara AF,House J,Federici S,Rossi S,Biancalani R,Condor Golec RD,Jacobs H,Flammini A,Prosperi P,Cardenas-Galindo P,Schmidhuber J,Sanz Sanchez MJ,Srivastava N,Smith P","journal":"Glob Chang Biol","doi":"10.1111/gcb.12865","created_at":"2021-09-30T08:28:14.133Z","updated_at":"2021-09-30T08:28:14.133Z"}],"licence_links":[{"licence_name":"FAO copyright","licence_id":311,"licence_url":"http://www.fao.org/contact-us/terms/en/","link_id":1884,"relation":"undefined"}],"grants":[{"id":3685,"fairsharing_record_id":2882,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:26:23.586Z","updated_at":"2021-09-30T09:26:23.586Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2883","type":"fairsharing_records","attributes":{"created_at":"2020-01-15T16:14:59.000Z","updated_at":"2023-12-15T10:31:45.083Z","metadata":{"doi":"10.25504/FAIRsharing.4wjhCf","name":"National Archive of Criminal Justice Data","status":"ready","contacts":[{"contact_name":"A.J. Million","contact_email":"millioaj@umich.edu","contact_orcid":"0000-0002-8909-153X"}],"homepage":"https://www.icpsr.umich.edu/icpsrweb/nacjd/","identifier":2883,"description":"Established in 1978, the National Archive of Criminal Justice Data (NACJD) archives and disseminates data on crime and justice for secondary analysis. The archive contains data from over 2,700 curated studies or statistical data series. NACJD is home to several large-scale and well known datasets, including the National Crime Victimization Survey (NCVS), the FBI's Uniform Crime Reports (UCR), the FBI's National Incident-Based Reporting System (NIBRS), and the Project on Human Development in Chicago Neighborhoods (PHDCN). In addition to making data available, NACJD curates and preserves data to ensure that they are accessible now and in the future. Located within the Inter-University Consortium for Political and Social Research (ICPSR), a research center of the Institute for Social Research (ISR) at the University of Michigan, NACJD is sponsored by the Bureau of Justice Statistics (BJS), the National Institute of Justice (NIJ), and the Office of Juvenile Justice and Delinquency Prevention (OJJDP) of the United States Department of Justice.","abbreviation":"NACJD","data_curation":{"url":"https://www.icpsr.umich.edu/files/deposit/DataStartToFinish.pdf","type":"manual/automated"},"support_links":[{"url":"http://www.icpsr.umich.edu/icpsrweb/ICPSR/help/","name":"ICPSR Help","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/help.html","name":"NACJD Help","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/contact.html","name":"NACJD Contact","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/resources.html","name":"Resources Citing NACJD","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/NACJD/about.html","name":"About","type":"Help documentation"},{"url":"https://twitter.com/nackjaydee","name":"@nackjaydee","type":"Twitter"}],"year_creation":1978,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010260","name":"re3data:r3d100010260","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/NACJD/share-data.html","type":"controlled","notes":"Submitted data should come from projects granted by the National Institute of Justice (NIJ) and the Office of Juvenile Justice and Delinquency Prevention (OJJDP)."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001384","bsg-d001384"],"name":"FAIRsharing record for: National Archive of Criminal Justice Data","abbreviation":"NACJD","url":"https://fairsharing.org/10.25504/FAIRsharing.4wjhCf","doi":"10.25504/FAIRsharing.4wjhCf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Established in 1978, the National Archive of Criminal Justice Data (NACJD) archives and disseminates data on crime and justice for secondary analysis. The archive contains data from over 2,700 curated studies or statistical data series. NACJD is home to several large-scale and well known datasets, including the National Crime Victimization Survey (NCVS), the FBI's Uniform Crime Reports (UCR), the FBI's National Incident-Based Reporting System (NIBRS), and the Project on Human Development in Chicago Neighborhoods (PHDCN). In addition to making data available, NACJD curates and preserves data to ensure that they are accessible now and in the future. Located within the Inter-University Consortium for Political and Social Research (ICPSR), a research center of the Institute for Social Research (ISR) at the University of Michigan, NACJD is sponsored by the Bureau of Justice Statistics (BJS), the National Institute of Justice (NIJ), and the Office of Juvenile Justice and Delinquency Prevention (OJJDP) of the United States Department of Justice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Criminology","Criminal Law","Social and Behavioural Science"],"domains":["Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ICPSR Privacy Policy","licence_id":417,"licence_url":"https://www.icpsr.umich.edu/icpsrweb/content/about/privacy.html","link_id":2062,"relation":"undefined"}],"grants":[{"id":3687,"fairsharing_record_id":2883,"organisation_id":3168,"relation":"funds","created_at":"2021-09-30T09:26:23.652Z","updated_at":"2021-09-30T09:26:23.652Z","grant_id":null,"is_lead":false,"saved_state":{"id":3168,"name":"U.S. Department of Justice, Office of Justice Programs, Washington, D.C., USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3686,"fairsharing_record_id":2883,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:26:23.619Z","updated_at":"2021-09-30T09:26:23.619Z","grant_id":null,"is_lead":true,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2884","type":"fairsharing_records","attributes":{"created_at":"2020-01-17T16:51:32.000Z","updated_at":"2023-12-15T10:32:26.818Z","metadata":{"doi":"10.25504/FAIRsharing.Gzattg","name":"Civic Learning, Engagement, and Action Data Sharing","status":"ready","contacts":[{"contact_name":"David Bleckley","contact_email":"civicleads@umich.edu","contact_orcid":"0000-0001-7715-4348"}],"homepage":"http://www.civicleads.org","identifier":2884,"description":"Researchers from a wide variety of disciplines study civic education, civic action, and the many relationships between the two. Civic Learning, Engagement, and Action Data Sharing (CivicLEADS) provides infrastructure for researchers to share and access high-quality datasets which can be used to study civic education and involvement. Funded by a grant from the Spencer Foundation and part of ICPSR's Education and Child Care Data Archives at the University of Michigan, CivicLEADS provides a centralized repository for this multi-disciplinary research area, with data being created across education, political science, developmental sciences, and other disciplines. Researchers can access quantitative and qualitative data on a broad range of topics for secondary analysis as well as sharing their own primary research data. CivicLEADS includes datasets from other ICPSR archives and seeks out emerging data collected by studies still in the field. Beyond facilitating the sharing and discovery of data, CivicLEADS seeks to create a learning community around civic education and engagement research. We strive to form relationships with and between investigators and researchers at every level—from students to emeriti faculty. Data shared in this archive have been documented with thorough metadata, and tools drawing upon these metadata allow researchers to explore and compare variables both within and between studies. By providing tutorials, webinars, and in-person training, CivicLEADS connects researchers with data and facilitates the future of civic education and civic action research.","abbreviation":"CivicLEADS","data_curation":{"type":"none"},"support_links":[{"url":"https://www.icpsr.umich.edu/icpsrweb/civicleads/news.jsp","name":"News","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/icpsrweb/content/civicleads/about.html","name":"About","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/civicleads/about.html","type":"open","notes":"Researchers can share their own primary research data, but there is no online submission form."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001385","bsg-d001385"],"name":"FAIRsharing record for: Civic Learning, Engagement, and Action Data Sharing","abbreviation":"CivicLEADS","url":"https://fairsharing.org/10.25504/FAIRsharing.Gzattg","doi":"10.25504/FAIRsharing.Gzattg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Researchers from a wide variety of disciplines study civic education, civic action, and the many relationships between the two. Civic Learning, Engagement, and Action Data Sharing (CivicLEADS) provides infrastructure for researchers to share and access high-quality datasets which can be used to study civic education and involvement. Funded by a grant from the Spencer Foundation and part of ICPSR's Education and Child Care Data Archives at the University of Michigan, CivicLEADS provides a centralized repository for this multi-disciplinary research area, with data being created across education, political science, developmental sciences, and other disciplines. Researchers can access quantitative and qualitative data on a broad range of topics for secondary analysis as well as sharing their own primary research data. CivicLEADS includes datasets from other ICPSR archives and seeks out emerging data collected by studies still in the field. Beyond facilitating the sharing and discovery of data, CivicLEADS seeks to create a learning community around civic education and engagement research. We strive to form relationships with and between investigators and researchers at every level—from students to emeriti faculty. Data shared in this archive have been documented with thorough metadata, and tools drawing upon these metadata allow researchers to explore and compare variables both within and between studies. By providing tutorials, webinars, and in-person training, CivicLEADS connects researchers with data and facilitates the future of civic education and civic action research.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social Science","Education Science","Media Studies","Social Psychology","Psychology","Social and Behavioural Science","Political Science","Communication Science"],"domains":["Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Activism","Civic Education","Civic Engagement","Critical Consciousness","Education","Media Literacy","Political Development","Social Media","Sociology"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3688,"fairsharing_record_id":2884,"organisation_id":2615,"relation":"funds","created_at":"2021-09-30T09:26:23.677Z","updated_at":"2021-09-30T09:30:29.435Z","grant_id":733,"is_lead":false,"saved_state":{"id":2615,"name":"Spencer Foundation, Chicago, IL, USA","grant":"201500037","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3689,"fairsharing_record_id":2884,"organisation_id":1393,"relation":"maintains","created_at":"2021-09-30T09:26:23.701Z","updated_at":"2021-09-30T09:26:23.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1393,"name":"Institute for Social Research, University of Michigan, Ann Arbor, MI, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3690,"fairsharing_record_id":2884,"organisation_id":3095,"relation":"maintains","created_at":"2021-09-30T09:26:23.726Z","updated_at":"2021-09-30T09:26:23.726Z","grant_id":null,"is_lead":false,"saved_state":{"id":3095,"name":"University of Michigan, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2885","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T12:12:10.000Z","updated_at":"2023-12-15T10:30:54.383Z","metadata":{"doi":"10.25504/FAIRsharing.45c8c8","name":"International Plant Names Index","status":"ready","contacts":[{"contact_name":"IPNI Team","contact_email":"ipnifeedback@kew.org"}],"homepage":"https://www.ipni.org/","identifier":2885,"description":"The International Plant Names Index (IPNI) provides nomenclatural information (spelling, author, types and first place and date of publication) for the scientific names of Vascular Plants from Family down to infraspecific ranks.","abbreviation":"IPNI","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ipni.org/statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012002","name":"re3data:r3d100012002","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ipni.org/registration/","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001386","bsg-d001386"],"name":"FAIRsharing record for: International Plant Names Index","abbreviation":"IPNI","url":"https://fairsharing.org/10.25504/FAIRsharing.45c8c8","doi":"10.25504/FAIRsharing.45c8c8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Plant Names Index (IPNI) provides nomenclatural information (spelling, author, types and first place and date of publication) for the scientific names of Vascular Plants from Family down to infraspecific ranks.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Taxonomy"],"domains":["Taxonomic classification"],"taxonomies":["Tracheophyta"],"user_defined_tags":[],"countries":["Australia","United Kingdom","United States"],"publications":[],"licence_links":[{"licence_name":"Kew Gardens Terms and Conditions","licence_id":479,"licence_url":"https://www.kew.org/terms-and-conditions","link_id":1710,"relation":"undefined"}],"grants":[{"id":3691,"fairsharing_record_id":2885,"organisation_id":2461,"relation":"maintains","created_at":"2021-09-30T09:26:23.752Z","updated_at":"2022-06-27T13:45:05.374Z","grant_id":null,"is_lead":true,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3692,"fairsharing_record_id":2885,"organisation_id":1217,"relation":"maintains","created_at":"2021-09-30T09:26:23.776Z","updated_at":"2021-09-30T09:26:23.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":1217,"name":"Harvard University Herbaria \u0026 Libraries, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3693,"fairsharing_record_id":2885,"organisation_id":144,"relation":"maintains","created_at":"2021-09-30T09:26:23.871Z","updated_at":"2021-09-30T09:26:23.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":144,"name":"Australian National Herbarium","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2901","type":"fairsharing_records","attributes":{"created_at":"2020-03-10T13:33:20.000Z","updated_at":"2023-12-15T10:30:27.431Z","metadata":{"doi":"10.25504/FAIRsharing.3254c6","name":"eLibrary of Microbial Systematics and Genomics","status":"ready","contacts":[{"contact_name":"Xiao-Yang Zhi","contact_email":"xyzhi@ynu.edu.cn"}],"homepage":"https://www.biosino.org/elmsg/index","identifier":2901,"description":"The eLibrary of Microbial Systematics and Genomics (eLMSG) database provides a platform for microbial systematics, genomics and phenomics (polyphasic taxonomy related phenotypes). It includes information in areas such as microbial taxonomy, ecology, morphology, physiology, and molecular biology. It is intended as a reference for research in microbial systematics, comparative genomics, evolutionary biology, and microbiomes.","abbreviation":"eLMSG","data_curation":{"url":"https://www.biosino.org/elmsg/about","type":"automated"},"support_links":[{"url":"https://www.biosino.org/elmsg/help","name":"eLMSG Help","type":"Help documentation"},{"url":"https://www.biosino.org/elmsg/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://www.biosino.org/elmsg/about","name":"About eLMSG","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013791","name":"re3data:r3d100013791","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.biosino.org/elmsg/submit","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001402","bsg-d001402"],"name":"FAIRsharing record for: eLibrary of Microbial Systematics and Genomics","abbreviation":"eLMSG","url":"https://fairsharing.org/10.25504/FAIRsharing.3254c6","doi":"10.25504/FAIRsharing.3254c6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The eLibrary of Microbial Systematics and Genomics (eLMSG) database provides a platform for microbial systematics, genomics and phenomics (polyphasic taxonomy related phenotypes). It includes information in areas such as microbial taxonomy, ecology, morphology, physiology, and molecular biology. It is intended as a reference for research in microbial systematics, comparative genomics, evolutionary biology, and microbiomes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12872}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Microbial Ecology","Genomics","Taxonomy","Microbial Genetics","Phenomics","Comparative Genomics"],"domains":["Taxonomic classification","Cell morphology","Microbiome"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[],"grants":[{"id":3715,"fairsharing_record_id":2901,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.459Z","updated_at":"2021-09-30T09:26:24.459Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2902","type":"fairsharing_records","attributes":{"created_at":"2020-03-10T13:54:47.000Z","updated_at":"2023-06-23T15:21:37.358Z","metadata":{"doi":"10.25504/FAIRsharing.50387f","name":"Epigenome-Wide Association Study Atlas","status":"ready","contacts":[{"contact_name":"EWAS Atlas Helpdesk","contact_email":"ewas-user@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/ewas","citations":[{"doi":"10.1093/nar/gky1027","pubmed_id":30364969,"publication_id":2805}],"identifier":2902,"description":"The Epigenome-Wide Association Study Atlas (EWAS) Atlas is a curated knowledgebase of EWAS data. EWAS Atlas focuses on DNA methylation and provides a trait enrichment analysis tool, which is capable of profiling trait-trait and trait-epigenome relationships. Incorporation of more epigenetic markers is planned.","abbreviation":"EWAS Atlas","data_curation":{"url":"https://ngdc.cncb.ac.cn/ewas/datahub/documentation#/metadata_curation?id=curation","type":"manual"},"support_links":[{"url":"https://bigd.big.ac.cn/ewas/documentation#/","name":"Help Pages","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/ewas/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/AtlasEwas","name":"@AtlasEwas","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001403","bsg-d001403"],"name":"FAIRsharing record for: Epigenome-Wide Association Study Atlas","abbreviation":"EWAS Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.50387f","doi":"10.25504/FAIRsharing.50387f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Epigenome-Wide Association Study Atlas (EWAS) Atlas is a curated knowledgebase of EWAS data. EWAS Atlas focuses on DNA methylation and provides a trait enrichment analysis tool, which is capable of profiling trait-trait and trait-epigenome relationships. Incorporation of more epigenetic markers is planned.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12873}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenomics","Epigenetics"],"domains":["DNA methylation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2805,"pubmed_id":30364969,"title":"EWAS Atlas: a curated knowledgebase of epigenome-wide association studies.","year":2018,"url":"http://doi.org/10.1093/nar/gky1027","authors":"Li M,Zou D,Li Z,Gao R,Sang J,Zhang Y,Li R,Xia L,Zhang T,Niu G,Bao Y,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1027","created_at":"2021-09-30T08:27:44.952Z","updated_at":"2021-09-30T11:29:45.255Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":686,"relation":"undefined"}],"grants":[{"id":3716,"fairsharing_record_id":2902,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.486Z","updated_at":"2021-09-30T09:26:24.486Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2904","type":"fairsharing_records","attributes":{"created_at":"2020-03-11T13:35:34.000Z","updated_at":"2023-12-15T10:31:36.546Z","metadata":{"doi":"10.25504/FAIRsharing.483ea0","name":"GWAS Atlas","status":"ready","contacts":[{"contact_name":"GWAS Atlas Helpdesk","contact_email":"gwas@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/gwas/","citations":[{"doi":"10.1093/nar/gkz828","pubmed_id":31566222,"publication_id":2794}],"identifier":2904,"description":"The GWAS Atlas is a manually curated resource of genome-wide variant-trait associations for a wide range of species.","abbreviation":"GWAS Atlas","data_curation":{"url":"https://ngdc.cncb.ac.cn/gwas/documentation#pipe","type":"manual","notes":"The standardized curation process involves literature search, information retrieval, integration \u0026 annotation and database construction."},"support_links":[{"url":"https://bigd.big.ac.cn/gwas/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/gwas/documentation","name":"GWAS Atlas Documentation","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ngdc.cncb.ac.cn/gwas/documentation#submit","type":"controlled","notes":"Authentification to the NGDC (National Genomics Data Center) Central Authentication Service is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001405","bsg-d001405"],"name":"FAIRsharing record for: GWAS Atlas","abbreviation":"GWAS Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.483ea0","doi":"10.25504/FAIRsharing.483ea0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GWAS Atlas is a manually curated resource of genome-wide variant-trait associations for a wide range of species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12875}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Phenotype","Genome-wide association study","Genotype"],"taxonomies":["Brassica napus","Capra hircus","Glycine max","Gossypium hirsutum","Oryza sativa","Prunus mume","Sorghum bicolor","Sus scrofa","Zea mays"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2794,"pubmed_id":31566222,"title":"GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals.","year":2019,"url":"http://doi.org/10.1093/nar/gkz828","authors":"Tian D,Wang P,Tang B,Teng X,Li C,Liu X,Zou D,Song S,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz828","created_at":"2021-09-30T08:27:43.544Z","updated_at":"2021-09-30T11:29:44.953Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1134,"relation":"undefined"}],"grants":[{"id":8148,"fairsharing_record_id":2904,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:31:11.546Z","updated_at":"2021-09-30T09:31:11.594Z","grant_id":1056,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"Youth Innovation Promotion Association (2018134)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3718,"fairsharing_record_id":2904,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.535Z","updated_at":"2021-09-30T09:26:24.535Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3719,"fairsharing_record_id":2904,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:26:24.560Z","updated_at":"2021-09-30T09:29:45.187Z","grant_id":386,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"13th Five-year Informatization Plan (XXH13505-05)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8222,"fairsharing_record_id":2904,"organisation_id":514,"relation":"funds","created_at":"2021-09-30T09:31:37.581Z","updated_at":"2021-09-30T09:31:37.633Z","grant_id":1255,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"Strategic Priority Research Program (XDA08020102)","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2894","type":"fairsharing_records","attributes":{"created_at":"2020-03-10T10:22:08.000Z","updated_at":"2023-11-23T13:48:35.199Z","metadata":{"doi":"10.25504/FAIRsharing.a308a0","name":"DDBJ BioProject","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"trace@ddbj.nig.ac.jp"}],"homepage":"https://www.ddbj.nig.ac.jp/bioproject/index-e.html","citations":[],"identifier":2894,"description":"The DDBJ BioProject resource organizes both the projects and the data from those projects which is deposited into several archival databases maintained by members of the INSDC. This allows searching by characteristics of these projects, using the project description and project content across the INSDC-associated databases. It works in partnership with the NCBI BioProject repository.","abbreviation":"DDBJ BioProject","data_curation":{"url":"https://www.ddbj.nig.ac.jp/biosample/submission-e.html","type":"manual/automated"},"support_links":[{"url":"https://www.ddbj.nig.ac.jp/contact-e.html","name":"DDBJ Contact Form","type":"Contact form"},{"url":"https://www.ddbj.nig.ac.jp/faq/en/index-e.html?tag=bioproject","name":"BioProject FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ddbj.nig.ac.jp/bioproject/submission-e.html","name":"General Information and Submission","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.ddbj.nig.ac.jp/bioproject/submission-e.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001395","bsg-d001395"],"name":"FAIRsharing record for: DDBJ BioProject","abbreviation":"DDBJ BioProject","url":"https://fairsharing.org/10.25504/FAIRsharing.a308a0","doi":"10.25504/FAIRsharing.a308a0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The DDBJ BioProject resource organizes both the projects and the data from those projects which is deposited into several archival databases maintained by members of the INSDC. This allows searching by characteristics of these projects, using the project description and project content across the INSDC-associated databases. It works in partnership with the NCBI BioProject repository.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Experimental measurement","Annotation","Genomic assembly","Protocol","Sequencing","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"DDBJ Policies and Disclaimers","licence_id":230,"licence_url":"https://www.ddbj.nig.ac.jp/policies-e.html","link_id":2269,"relation":"undefined"}],"grants":[{"id":3707,"fairsharing_record_id":2894,"organisation_id":252,"relation":"maintains","created_at":"2021-09-30T09:26:24.260Z","updated_at":"2021-09-30T09:26:24.260Z","grant_id":null,"is_lead":true,"saved_state":{"id":252,"name":"Bioinformation and DDBJ Center","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2895","type":"fairsharing_records","attributes":{"created_at":"2020-03-19T09:42:00.000Z","updated_at":"2023-06-23T09:28:34.843Z","metadata":{"name":"Virtual Chinese Genome Database","status":"deprecated","contacts":[],"homepage":"https://bigd.big.ac.cn/vcg/","citations":[{"doi":"10.1186/1471-2164-15-265","pubmed_id":24708222,"publication_id":2614}],"identifier":2895,"description":"Virtual Chinese Genome Database (VCGDB) is a genome database of the Chinese population based on the whole genome sequencing data of 194 individuals. We are unsure when this database was last updated, and as such we have marked this record as Uncertain. Please contact us if you have any information on its current status.","abbreviation":"VCGDB","data_curation":{"type":"not found"},"data_versioning":"not found","deprecation_date":"2023-05-04","deprecation_reason":"Data access is no longer available. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001396","bsg-d001396"],"name":"FAIRsharing record for: Virtual Chinese Genome Database","abbreviation":"VCGDB","url":"https://fairsharing.org/fairsharing_records/2895","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Virtual Chinese Genome Database (VCGDB) is a genome database of the Chinese population based on the whole genome sequencing data of 194 individuals. We are unsure when this database was last updated, and as such we have marked this record as Uncertain. Please contact us if you have any information on its current status.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12869}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Comparative Genomics","Population Genetics"],"domains":["Whole genome sequencing","Genome"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2614,"pubmed_id":24708222,"title":"VCGDB: a dynamic genome database of the Chinese population.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-265","authors":"Ling Y,Jin Z,Su M,Zhong J,Zhao Y,Yu J,Wu J,Xiao J","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-265","created_at":"2021-09-30T08:27:20.912Z","updated_at":"2021-09-30T08:27:20.912Z"}],"licence_links":[],"grants":[{"id":3708,"fairsharing_record_id":2895,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.285Z","updated_at":"2021-09-30T09:26:24.285Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2897","type":"fairsharing_records","attributes":{"created_at":"2020-02-21T14:43:11.000Z","updated_at":"2023-12-15T10:32:17.192Z","metadata":{"doi":"10.25504/FAIRsharing.szgagY","name":"Data.CDC.gov","status":"ready","contacts":[{"contact_name":"Data@cdc.gov","contact_email":"data@cdc.gov"}],"homepage":"https://data.cdc.gov","identifier":2897,"description":"Data.CDC.gov hosts data sets published by the Centers for Disease Control and Prevention on public health topics.","abbreviation":"Data.CDC.gov","data_curation":{"type":"not found"},"support_links":[{"url":"data@cdc.gov","name":"Data.CDC.gov support team","type":"Support email"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001398","bsg-d001398"],"name":"FAIRsharing record for: Data.CDC.gov","abbreviation":"Data.CDC.gov","url":"https://fairsharing.org/10.25504/FAIRsharing.szgagY","doi":"10.25504/FAIRsharing.szgagY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data.CDC.gov hosts data sets published by the Centers for Disease Control and Prevention on public health topics.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12870},{"linking_record_name":"White House Office of Science and Technology Policy Collection","linking_record_id":4259,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16395}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Public Health"],"domains":[],"taxonomies":["Bacteria","environmental samples","Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"CDC Privacy Policy","licence_id":109,"licence_url":"http://www.cdc.gov/Other/privacy.html","link_id":1095,"relation":"undefined"},{"licence_name":"HHS Privacy Policy","licence_id":392,"licence_url":"http://www.hhs.gov/privacy.html","link_id":1094,"relation":"undefined"},{"licence_name":"U.S. Public Domain","licence_id":835,"licence_url":"https://www.usa.gov/government-works","link_id":1093,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2877","type":"fairsharing_records","attributes":{"created_at":"2019-12-30T11:31:59.000Z","updated_at":"2024-01-27T11:20:52.239Z","metadata":{"doi":"10.25504/FAIRsharing.fae0b7","name":"Registry of Research Data Repositories","status":"ready","contacts":[{"contact_name":"re3data contact","contact_email":"info@re3data.org"}],"homepage":"https://www.re3data.org/","citations":[{"doi":"10.17616/R3D","pubmed_id":null,"publication_id":3604},{"doi":"10.1371/journal.pone.0078080","pubmed_id":null,"publication_id":3606}],"identifier":2877,"description":"re3data.org is a global registry of research data repositories that covers research data repositories from different academic disciplines. It presents repositories for the permanent storage and access of data sets to researchers, funding bodies, publishers and scholarly institutions. re3data.org promotes a culture of sharing, increased access and better visibility of research data.","abbreviation":"re3data","data_curation":{"url":"https://www.re3data.org/faq","type":"manual","notes":"Before a new record of a RDR is published in re3data all gathered information is reviewed by a second team member."},"support_links":[{"url":"https://www.re3data.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.re3data.org/about","name":"About","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","cross_references":[],"data_access_condition":{"url":"https://www.re3data.org/about","type":"open"},"resource_sustainability":{"url":"https://www.re3data.org/about","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.re3data.org/faq","type":"controlled","notes":"How can I add a research data repository to re3data?"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001378","bsg-d001378"],"name":"FAIRsharing record for: Registry of Research Data Repositories","abbreviation":"re3data","url":"https://fairsharing.org/10.25504/FAIRsharing.fae0b7","doi":"10.25504/FAIRsharing.fae0b7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: re3data.org is a global registry of research data repositories that covers research data repositories from different academic disciplines. It presents repositories for the permanent storage and access of data sets to researchers, funding bodies, publishers and scholarly institutions. re3data.org promotes a culture of sharing, increased access and better visibility of research data.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15082}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Germany","United States"],"publications":[{"id":3604,"pubmed_id":null,"title":"re3data.org - Registry of Research Data Repositories","year":2021,"url":"https://doi.org/10.17616/R3D","authors":"re3data","journal":"Online","doi":"10.17616/R3D","created_at":"2022-10-01T00:19:33.777Z","updated_at":"2022-10-01T00:21:59.130Z"},{"id":3605,"pubmed_id":null,"title":"Metadata Schema for the Description of Research Data Repositories: version 3.1, re3data, 37 p.","year":2021,"url":"https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007395","authors":"Strecker, D., Bertelmann, R., Cousijn, H., Elger, K., Ferguson, L. M., Fichtmüller, D., Goebelbecker, H.-J., Kindling, M., Kloska, G., Nguyen, T. B., Pampel, H., Petras, V., Schabinger, R., Schnepf, E., Semrau, A., Trofimenko, M., Ulrich, R., Upmeier, A., Vierkant, P., Weisweiler, N. L., Wang, Y., Witt, M.","journal":"Online","doi":"10.48440/re3.010","created_at":"2022-10-01T00:21:38.698Z","updated_at":"2022-10-01T00:21:38.698Z"},{"id":3606,"pubmed_id":null,"title":"Making Research Data Repositories Visible: The re3data.org Registry","year":2013,"url":"http://dx.doi.org/10.1371/journal.pone.0078080","authors":"Pampel, Heinz; Vierkant, Paul; Scholze, Frank; Bertelmann, Roland; Kindling, Maxi; Klump, Jens; Goebelbecker, Hans-Jürgen; Gundlach, Jens; Schirmbacher, Peter; Dierolf, Uwe; ","journal":"PLoS ONE","doi":"10.1371/journal.pone.0078080","created_at":"2022-10-01T00:24:05.204Z","updated_at":"2022-10-01T00:24:05.204Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2442,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2897,"relation":"applies_to_content"}],"grants":[{"id":3670,"fairsharing_record_id":2877,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:26:23.059Z","updated_at":"2021-09-30T09:26:23.059Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3671,"fairsharing_record_id":2877,"organisation_id":647,"relation":"maintains","created_at":"2021-09-30T09:26:23.085Z","updated_at":"2022-09-28T11:54:01.955Z","grant_id":null,"is_lead":true,"saved_state":{"id":647,"name":"DataCite","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":9940,"fairsharing_record_id":2877,"organisation_id":3722,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.769Z","updated_at":"2022-10-01T00:08:30.769Z","grant_id":null,"is_lead":false,"saved_state":{"id":3722,"name":"Purdue University Libraries","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":9941,"fairsharing_record_id":2877,"organisation_id":3724,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.806Z","updated_at":"2022-10-01T00:08:30.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":3724,"name":"Helmholtz Open Science","types":["Undefined"],"is_lead":false,"relation":"collaborates_on"}},{"id":9942,"fairsharing_record_id":2877,"organisation_id":1624,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.845Z","updated_at":"2022-10-01T00:08:30.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":1624,"name":"Karlsruhe Institute of Technology","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9943,"fairsharing_record_id":2877,"organisation_id":3725,"relation":"collaborates_on","created_at":"2022-10-01T00:08:30.883Z","updated_at":"2022-10-01T00:08:30.883Z","grant_id":null,"is_lead":false,"saved_state":{"id":3725,"name":" German Initiative for Network Information","types":["Undefined"],"is_lead":false,"relation":"collaborates_on"}},{"id":10396,"fairsharing_record_id":2877,"organisation_id":1284,"relation":"collaborates_on","created_at":"2023-03-13T11:11:43.891Z","updated_at":"2023-03-13T11:11:43.891Z","grant_id":null,"is_lead":false,"saved_state":{"id":1284,"name":"Humboldt-Universität zu Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"collaborates_on"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBc0VCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a4c43cbd0da7ed77259f2f760dd661b1d2bbabbe/re3datalogo_black.png?disposition=inline","exhaustive_licences":false}},{"id":"2879","type":"fairsharing_records","attributes":{"created_at":"2020-01-07T17:11:15.000Z","updated_at":"2023-12-15T10:32:43.275Z","metadata":{"doi":"10.25504/FAIRsharing.7IQk4a","name":"Primate Cell Type Database","status":"ready","contacts":[{"contact_name":"Eric S. Kuebler","contact_email":"ekuebler@uwo.ca","contact_orcid":"0000-0002-6816-156X"}],"homepage":"https://primatedatabase.com/","identifier":2879,"description":"PrimateDatabase.com, a publicly available web-accessible archive of intracellular patch clamp recordings and highly detailed three-dimensional digital reconstructions of neuronal morphology. PrimateDatabase.com is unique because it is currently the largest collection of non-human primate (NHP) intracellular recordings.","abbreviation":"PCTD","data_curation":{"type":"not found"},"support_links":[{"url":"primate.database@gmail.com","name":"Contact PCTD","type":"Support email"},{"url":"https://primatedatabase.com/ourTeam.html","name":"About the PCTD Team","type":"Help documentation"}],"year_creation":2019,"data_versioning":"not found","associated_tools":[{"url":"https://primatedatabase.com/morphology.html","name":"Morphology Reconstruction Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013202","name":"re3data:r3d100013202","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001380","bsg-d001380"],"name":"FAIRsharing record for: Primate Cell Type Database","abbreviation":"PCTD","url":"https://fairsharing.org/10.25504/FAIRsharing.7IQk4a","doi":"10.25504/FAIRsharing.7IQk4a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PrimateDatabase.com, a publicly available web-accessible archive of intracellular patch clamp recordings and highly detailed three-dimensional digital reconstructions of neuronal morphology. PrimateDatabase.com is unique because it is currently the largest collection of non-human primate (NHP) intracellular recordings.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Electrophysiology"],"domains":["Cell morphology","RNA sequencing","Immunohistochemistry"],"taxonomies":["Macaca fascicularis","Rhesus macaques"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1699,"relation":"undefined"}],"grants":[{"id":3679,"fairsharing_record_id":2879,"organisation_id":2452,"relation":"maintains","created_at":"2021-09-30T09:26:23.410Z","updated_at":"2021-09-30T09:26:23.410Z","grant_id":null,"is_lead":true,"saved_state":{"id":2452,"name":"Robarts Research Institute, London, Canada","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2880","type":"fairsharing_records","attributes":{"created_at":"2020-01-28T11:35:24.000Z","updated_at":"2023-06-22T17:01:13.061Z","metadata":{"doi":"10.25504/FAIRsharing.56a0Uj","name":"GeoNames","status":"ready","contacts":[{"contact_name":"Marc Wick","contact_email":"marc@geonames.org"}],"homepage":"https://www.geonames.org/","citations":[],"identifier":2880,"description":"GeoNames integrates geographical data such as names of places in various languages, elevation, population and others from various sources. Users may manually edit, correct and add new names using a user friendly wiki interface.","abbreviation":"GeoNames","data_curation":{"url":"https://www.geonames.org/about.html","type":"manual"},"support_links":[{"url":"http://forum.geonames.org/","name":"GeoNames Forum","type":"Forum"},{"url":"https://www.geonames.org/manual.html","name":"User Manual","type":"Help documentation"},{"url":"https://www.geonames.org/recent-changes.html","name":"Recent Changes","type":"Help documentation"},{"url":"https://www.geonames.org/data-sources.html","name":"Data Sources","type":"Help documentation"},{"url":"https://www.geonames.org/statistics/","name":"Statistics","type":"Help documentation"},{"url":"https://www.geonames.org/export/client-libraries.html","name":"Client Libraries","type":"Help documentation"},{"url":"https://www.geonames.org/about.html","name":"About GeoNames","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/GeoNames","name":"Wikipedia entry","type":"Wikipedia"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010245","name":"re3data:r3d100010245","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.geonames.org/datasources/","type":"controlled","notes":"Primarily drawn from multiple data sources, though some annotation and creation of data is allowed for certain users."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001381","bsg-d001381"],"name":"FAIRsharing record for: GeoNames","abbreviation":"GeoNames","url":"https://fairsharing.org/10.25504/FAIRsharing.56a0Uj","doi":"10.25504/FAIRsharing.56a0Uj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeoNames integrates geographical data such as names of places in various languages, elevation, population and others from various sources. Users may manually edit, correct and add new names using a user friendly wiki interface.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Geography"],"domains":["Geographical location"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1730,"relation":"undefined"}],"grants":[{"id":3680,"fairsharing_record_id":2880,"organisation_id":1124,"relation":"maintains","created_at":"2021-09-30T09:26:23.434Z","updated_at":"2021-09-30T09:26:23.434Z","grant_id":null,"is_lead":true,"saved_state":{"id":1124,"name":"GeoNames Project","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2899","type":"fairsharing_records","attributes":{"created_at":"2020-03-03T14:34:27.000Z","updated_at":"2022-07-20T12:44:43.809Z","metadata":{"name":"Date Palm Resequence Database","status":"deprecated","contacts":[{"contact_name":"Yiming Bao","contact_email":"baoym@big.ac.cn","contact_orcid":"0000-0002-9922-9723"}],"homepage":"http://drdb.big.ac.cn/home","citations":[{"doi":"10.3389/fpls.2017.01889","pubmed_id":29209336,"publication_id":2535}],"identifier":2899,"description":"The Date Palm Resequence Database (DRDB) is an online genomic resource database for date palm. It was created to distinguish different sub-types of date palms and mine genetic variation of interest. The DRDB includes SNPs (single nucleotide polymorphisms) and SSRs (short sequence repeats) from 62 date palm cultivars. Also included are pre-calculated SNPs and SSRs markers for classification and diversity; PCR primers for SNPs and SSRs markers; information on the phylogenetic relationships of all cultivars and their geographic distribution; and coding SNPs and their effects on amino acids.","abbreviation":"DRDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://drdb.big.ac.cn/documentation","name":"Documentation","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001400","bsg-d001400"],"name":"FAIRsharing record for: Date Palm Resequence Database","abbreviation":"DRDB","url":"https://fairsharing.org/fairsharing_records/2899","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Date Palm Resequence Database (DRDB) is an online genomic resource database for date palm. It was created to distinguish different sub-types of date palms and mine genetic variation of interest. The DRDB includes SNPs (single nucleotide polymorphisms) and SSRs (short sequence repeats) from 62 date palm cultivars. Also included are pre-calculated SNPs and SSRs markers for classification and diversity; PCR primers for SNPs and SSRs markers; information on the phylogenetic relationships of all cultivars and their geographic distribution; and coding SNPs and their effects on amino acids.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12871}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Agriculture","Comparative Genomics"],"domains":["Geographical location","Food","Microsatellite","Single nucleotide polymorphism","Genome"],"taxonomies":["Phoenix dactylifera"],"user_defined_tags":[],"countries":["China","Saudi Arabia"],"publications":[{"id":2535,"pubmed_id":29209336,"title":"DRDB: An Online Date Palm Genomic Resource Database.","year":2017,"url":"http://doi.org/10.3389/fpls.2017.01889","authors":"He Z,Zhang C,Liu W,Lin Q,Wei T,Aljohi HA,Chen WH,Hu S","journal":"Front Plant Sci","doi":"10.3389/fpls.2017.01889","created_at":"2021-09-30T08:27:10.968Z","updated_at":"2021-09-30T08:27:10.968Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1472,"relation":"undefined"}],"grants":[{"id":3713,"fairsharing_record_id":2899,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.411Z","updated_at":"2021-09-30T09:26:24.411Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2900","type":"fairsharing_records","attributes":{"created_at":"2020-03-05T13:46:58.000Z","updated_at":"2023-12-15T10:30:20.262Z","metadata":{"doi":"10.25504/FAIRsharing.cd9b23","name":"BioCode","status":"ready","contacts":[{"contact_name":"Yiming Bao","contact_email":"baoym@big.ac.cn","contact_orcid":"0000-0002-9922-9723"}],"homepage":"https://bigd.big.ac.cn/biocode","identifier":2900,"description":"BioCode is a repository for bioinformatics software.","abbreviation":"BioCode","data_curation":{"type":"not found"},"support_links":[{"url":"https://bigd.big.ac.cn/biocode/home/stats","name":"Statistics","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001401","bsg-d001401"],"name":"FAIRsharing record for: BioCode","abbreviation":"BioCode","url":"https://fairsharing.org/10.25504/FAIRsharing.cd9b23","doi":"10.25504/FAIRsharing.cd9b23","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioCode is a repository for bioinformatics software.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Software Engineering"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1355,"relation":"undefined"}],"grants":[{"id":3714,"fairsharing_record_id":2900,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.435Z","updated_at":"2021-09-30T09:26:24.435Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2891","type":"fairsharing_records","attributes":{"created_at":"2020-02-06T14:09:34.000Z","updated_at":"2023-12-15T10:33:02.380Z","metadata":{"doi":"10.25504/FAIRsharing.KcCjL7","name":"RNAcentral","status":"ready","contacts":[{"contact_name":"Anton I Petrov","contact_email":"apetrov@ebi.ac.uk"}],"homepage":"https://rnacentral.org","citations":[{"doi":"10.1093/nar/gky1034","pubmed_id":30395267,"publication_id":1750}],"identifier":2891,"description":"RNAcentral is a free, public resource that offers integrated access to a comprehensive and up-to-date set of non-coding RNA sequences provided by a collaborating group of databases representing a broad range of organisms and RNA types.","abbreviation":"RNAcentral","data_curation":{"type":"not found"},"support_links":[{"url":"https://blog.rnacentral.org/","name":"RNAcentral Blog","type":"Blog/News"},{"url":"https://rnacentral.org/contact","name":"Contact Form","type":"Contact form"},{"url":"http://github.com/RNAcentral/rnacentral-webcode/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"https://rnacentral.org/api","name":"API Overview","type":"Help documentation"},{"url":"https://rnacentral.org/help/genomic-mapping","name":"Genomic Mapping Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/secondary-structure","name":"Secondary Structure Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/rfam-annotations","name":"Rfam Annotations Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/text-search","name":"Text Search Guide","type":"Help documentation"},{"url":"https://rnacentral.org/help","name":"Help Pages","type":"Help documentation"},{"url":"https://rnacentral.org/help/gene-ontology-annotations","name":"GO Annotations Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/rna-target-interactions","name":"RNA Target Interactions Help","type":"Help documentation"},{"url":"https://rnacentral.org/help/conserved-motifs","name":"Conserved RNA Motifs Help","type":"Help documentation"},{"url":"https://github.com/RNAcentral/","name":"GitHub Repository","type":"Github"},{"url":"https://rnacentral.org/about-us","name":"About RNAcentral","type":"Help documentation"},{"url":"https://rnacentral.org/expert-databases","name":"Collaborating Databases","type":"Help documentation"},{"url":"https://blog.rnacentral.org/feeds/posts/default","name":"News (RSS)","type":"Blog/News"},{"url":"https://rnacentral.org/training","name":"RNAcentral Training","type":"Training documentation"},{"url":"https://twitter.com/RNAcentral","name":"@RNAcentral","type":"Twitter"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"url":"https://rnacentral.org/help/text-search","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://rnacentral.org/help","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001392","bsg-d001392"],"name":"FAIRsharing record for: RNAcentral","abbreviation":"RNAcentral","url":"https://fairsharing.org/10.25504/FAIRsharing.KcCjL7","doi":"10.25504/FAIRsharing.KcCjL7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RNAcentral is a free, public resource that offers integrated access to a comprehensive and up-to-date set of non-coding RNA sequences provided by a collaborating group of databases representing a broad range of organisms and RNA types.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Biology"],"domains":["Nucleic acid sequence","RNA sequence","Sequence annotation","Non-coding RNA"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":1750,"pubmed_id":30395267,"title":"RNAcentral: a hub of information for non-coding RNA sequences.","year":2018,"url":"http://doi.org/10.1093/nar/gky1034","authors":"The RNAcentral Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1034","created_at":"2021-09-30T08:25:36.393Z","updated_at":"2021-09-30T11:29:20.219Z"},{"id":2790,"pubmed_id":27794554,"title":"RNAcentral: a comprehensive database of non-coding RNA sequences.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1008","authors":"Petrov AI,Kay SJE,Kalvari I,Howe KL,Gray KA,Bruford EA,Kersey PJ,Cochrane G,Finn RD,Bateman A,Kozomara A,Griffiths-Jones S,Frankish A,Zwieb CW,Lau BY,Williams KP,Chan PP,Lowe TM,Cannone JJ,Gutell R,Machnicka MA,Bujnicki JM,Yoshihama M,Kenmochi N,Chai B,Cole JR,Szymanski M,Karlowski WM,Wood V,Huala E,Berardini TZ,Zhao Y,Chen R,Zhu W,Paraskevopoulou MD,Vlachos IS,Hatzigeorgiou AG,Ma L,Zhang Z,Puetz J,Stadler PF,McDonald D,Basu S,Fey P,Engel SR,Cherry JM,Volders PJ,Mestdagh P,Wower J,Clark MB,Quek XC,Dinger ME","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1008","created_at":"2021-09-30T08:27:43.079Z","updated_at":"2021-09-30T11:29:44.762Z"}],"licence_links":[{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":1831,"relation":"undefined"}],"grants":[{"id":3702,"fairsharing_record_id":2891,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:24.134Z","updated_at":"2021-09-30T09:26:24.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3701,"fairsharing_record_id":2891,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:24.110Z","updated_at":"2021-09-30T09:26:24.110Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2892","type":"fairsharing_records","attributes":{"created_at":"2020-03-03T11:20:20.000Z","updated_at":"2023-12-15T10:32:46.466Z","metadata":{"doi":"10.25504/FAIRsharing.8b493b","name":"Food and Agriculture Microdata Catalogue","status":"ready","contacts":[{"contact_name":"FAM Helpdesk","contact_email":"FAM-Catalogue@fao.org"}],"homepage":"https://microdata.fao.org/index.php/catalog","identifier":2892,"description":"The Food and Agriculture Microdata (FAM) Catalogue provides an inventory of datasets collected through farm and household surveys which contain information related to agriculture, food security, and nutrition. The FAM catalogue is populated by datasets which are collected directly by FAO and datasets whose collection are supported in some way by FAO. Our aim is to be a one-stop-shop containing metadata on all agricultural censuses and surveys which are publically available as well as provide direct access and/or links to the microdata. FAM is continuously updated as new datasets from FAO and member countries become available. Organizations which collect relevant data are also highly encouraged to submit datasets for dissemination through FAM.","abbreviation":"FAM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.fao.org/food-agriculture-microdata/en/","name":"About FAO Microdata","type":"Help documentation"}],"year_creation":2019,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001393","bsg-d001393"],"name":"FAIRsharing record for: Food and Agriculture Microdata Catalogue","abbreviation":"FAM","url":"https://fairsharing.org/10.25504/FAIRsharing.8b493b","doi":"10.25504/FAIRsharing.8b493b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Food and Agriculture Microdata (FAM) Catalogue provides an inventory of datasets collected through farm and household surveys which contain information related to agriculture, food security, and nutrition. The FAM catalogue is populated by datasets which are collected directly by FAO and datasets whose collection are supported in some way by FAO. Our aim is to be a one-stop-shop containing metadata on all agricultural censuses and surveys which are publically available as well as provide direct access and/or links to the microdata. FAM is continuously updated as new datasets from FAO and member countries become available. Organizations which collect relevant data are also highly encouraged to submit datasets for dissemination through FAM.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Food Security","Agriculture","Nutritional Science"],"domains":["Food"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"FAO copyright","licence_id":311,"licence_url":"http://www.fao.org/contact-us/terms/en/","link_id":417,"relation":"undefined"}],"grants":[{"id":3705,"fairsharing_record_id":2892,"organisation_id":2928,"relation":"funds","created_at":"2021-09-30T09:26:24.210Z","updated_at":"2021-09-30T09:26:24.210Z","grant_id":null,"is_lead":false,"saved_state":{"id":2928,"name":"United States Agency for International Development","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3703,"fairsharing_record_id":2892,"organisation_id":1034,"relation":"maintains","created_at":"2021-09-30T09:26:24.161Z","updated_at":"2021-09-30T09:26:24.161Z","grant_id":null,"is_lead":true,"saved_state":{"id":1034,"name":"Food and Agriculture Organization of the United Nations (FAO)","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":3704,"fairsharing_record_id":2892,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:26:24.184Z","updated_at":"2021-09-30T09:26:24.184Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2875","type":"fairsharing_records","attributes":{"created_at":"2019-12-19T13:56:27.000Z","updated_at":"2024-04-29T14:08:33.692Z","metadata":{"doi":"10.25504/FAIRsharing.DXjTQ8","name":"InterMine","status":"ready","contacts":[{"contact_name":"The InterMine team","contact_email":"info@intermine.org"}],"homepage":"http://intermine.org/","citations":[{"doi":"10.1093/bioinformatics/bts577","pubmed_id":23023984,"publication_id":505}],"identifier":2875,"description":"InterMine was formed in 2002 at the University of Cambridge, originally as a Drosophila-dedicated resource, before expanding to become organism-agnostic, enabling a large range of organisations around the world to create their own InterMines. There are many instances of InterMine installations, relating to particular model organisms. These can be searched individually or via a cross-Mine search function.","abbreviation":"InterMine","data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://intermineorg.wordpress.com/","name":"InterMine Blog","type":"Blog/News"},{"url":"http://intermine.org/intermine-user-docs/","name":"User help documentation","type":"Help documentation"},{"url":"https://lists.intermine.org/pipermail/dev/","name":"Developer mailing list","type":"Mailing list"},{"url":"https://github.com/intermine","name":"InterMine GitHub","type":"Github"},{"url":"https://tess.elixir-europe.org/materials/model-organism-analysis-using-intermine","name":"Model organism analysis using Intermine","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-manual","name":"InterMine user manual","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-user-tutorial","name":"InterMine user tutorial","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-operator-manual","name":"InterMine operator manual","type":"TeSS links to training materials"},{"url":"https://tess.elixir-europe.org/materials/intermine-2-0","name":"Intermine 2.0","type":"TeSS links to training materials"},{"url":"https://twitter.com/intermineorg","name":"@intermineorg","type":"Twitter"}],"year_creation":2002,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001376","bsg-d001376"],"name":"FAIRsharing record for: InterMine","abbreviation":"InterMine","url":"https://fairsharing.org/10.25504/FAIRsharing.DXjTQ8","doi":"10.25504/FAIRsharing.DXjTQ8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InterMine was formed in 2002 at the University of Cambridge, originally as a Drosophila-dedicated resource, before expanding to become organism-agnostic, enabling a large range of organisations around the world to create their own InterMines. There are many instances of InterMine installations, relating to particular model organisms. These can be searched individually or via a cross-Mine search function.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11132},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11417},{"linking_record_name":"InterMine","linking_record_id":3522,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11698},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11891}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Integration","Knowledge and Information Systems","Data Management","Database Management"],"domains":["Data model","Data storage","Knowledge representation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":505,"pubmed_id":23023984,"title":"InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data.","year":2012,"url":"http://doi.org/10.1093/bioinformatics/bts577","authors":"Smith RN,Aleksic J,Butano D,Carr A,Contrino S,Hu F,Lyne M,Lyne R,Kalderimis A,Rutherford K,Stepan R,Sullivan J,Wakeling M,Watkins X,Micklem G","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bts577","created_at":"2021-09-30T08:23:15.044Z","updated_at":"2021-09-30T08:23:15.044Z"},{"id":2008,"pubmed_id":24753429,"title":"InterMine: extensive web services for modern biology.","year":2014,"url":"http://doi.org/10.1093/nar/gku301","authors":"Kalderimis A,Lyne R,Butano D,Contrino S,Lyne M,Heimbach J,Hu F,Smith R,Stepan R,Sullivan J,Micklem G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku301","created_at":"2021-09-30T08:26:06.197Z","updated_at":"2021-09-30T11:29:25.560Z"}],"licence_links":[{"licence_name":"GNU Lesser General Public License (LGPL) 2.1","licence_id":357,"licence_url":"https://www.gnu.org/licenses/lgpl-2.1.html","link_id":1661,"relation":"undefined"}],"grants":[{"id":3666,"fairsharing_record_id":2875,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:26:22.959Z","updated_at":"2021-09-30T09:26:22.959Z","grant_id":null,"is_lead":true,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3665,"fairsharing_record_id":2875,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:22.934Z","updated_at":"2021-09-30T09:26:22.934Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3667,"fairsharing_record_id":2875,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:26:22.985Z","updated_at":"2021-09-30T09:26:22.985Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2876","type":"fairsharing_records","attributes":{"created_at":"2019-12-30T06:52:27.000Z","updated_at":"2023-07-06T15:01:52.764Z","metadata":{"doi":"10.25504/FAIRsharing.Xb3LBL","name":"Population Health Data Archive","status":"ready","contacts":[{"contact_name":"PHDA","contact_email":"rkjkpt@126.com"}],"homepage":"http://www.ncmi.cn/","citations":[{"doi":"10.11925/infotech.2096-3467.2020.0954 ","pubmed_id":null,"publication_id":3896}],"identifier":2876,"description":"The National Population Health Data Center (NPHDC) is one of the 20 national science data center approved by the Ministry of Science and Technology and the Ministry of Finance. The Population Health Data Archive (PHDA) is developed by NPHDC relying on the Institute of Medical Information, Chinese Academy of Medical Sciences. PHDA mainly receives scientific data from science and technology projects supported by the national budget, and also collects data from other multiple sources such as medical and health institutions, research institutions and social individuals, which is oriented to the national big data strategy and the healthy China strategy. The data resources cover basic medicine, clinical medicine, public health, traditional Chinese medicine and pharmacy, pharmacy, population and reproduction. PHDA supports data collection, archiving, processing, storage, curation, verification, certification and release in the field of population health. Provide multiple types of data sharing and application services for different hierarchy users and help them find, access, interoperate and reuse the data in a safe and controlled environment. PHDA provides important support for promoting the open sharing of scientific data of population health and domestic and foreign cooperation.","abbreviation":"PHDA","data_curation":{"url":"https://www.ncmi.cn/phda/support.html?type=aboutuss","type":"manual/automated"},"support_links":[{"url":"http://www.ncmi.cn/phda/support.html?type=aboutus","name":"Contact","type":"Contact form"},{"url":"https://www.ncmi.cn/phda/support.html?type=guide05","name":"Support","type":"Help documentation"},{"url":"https://www.ncmi.cn/phda/video_list.html","name":"Training","type":"Training documentation"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"http://www.ncmi.cn/phda/submit.html","name":"data submit"},{"url":"http://www.ncmi.cn/phda/service.html","name":"data service"},{"url":"http://www.ncmi.cn/phda/browse.html","name":"data browse"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013199","name":"re3data:r3d100013199","portal":"re3data"}],"data_access_condition":{"type":"partially open","notes":"The data are accessible on request, after validation of the request."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.ncmi.cn/phda/support.html?type=aboutuss","name":"More information"},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001377","bsg-d001377"],"name":"FAIRsharing record for: Population Health Data Archive","abbreviation":"PHDA","url":"https://fairsharing.org/10.25504/FAIRsharing.Xb3LBL","doi":"10.25504/FAIRsharing.Xb3LBL","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Population Health Data Center (NPHDC) is one of the 20 national science data center approved by the Ministry of Science and Technology and the Ministry of Finance. The Population Health Data Archive (PHDA) is developed by NPHDC relying on the Institute of Medical Information, Chinese Academy of Medical Sciences. PHDA mainly receives scientific data from science and technology projects supported by the national budget, and also collects data from other multiple sources such as medical and health institutions, research institutions and social individuals, which is oriented to the national big data strategy and the healthy China strategy. The data resources cover basic medicine, clinical medicine, public health, traditional Chinese medicine and pharmacy, pharmacy, population and reproduction. PHDA supports data collection, archiving, processing, storage, curation, verification, certification and release in the field of population health. Provide multiple types of data sharing and application services for different hierarchy users and help them find, access, interoperate and reuse the data in a safe and controlled environment. PHDA provides important support for promoting the open sharing of scientific data of population health and domestic and foreign cooperation.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12865}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Genomics","Reproductive Health","Clinical Studies","Public Health","Proteomics","Human Genetics","Pharmacy","Life Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":3896,"pubmed_id":null,"title":"Data Archive for Research Projects in Population Health","year":2020,"url":"https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2020.0954","authors":"Wu Sizhu,Qian Qing,Zhou Wei,Zhong Ming,Wang Anran,Xiu Xiaolei,Gou Huan,Li Zanmei,Li Jiao,Fang An","journal":"Data Analysis and Knowledge Discovery","doi":"10.11925/infotech.2096-3467.2020.0954 ","created_at":"2023-06-09T07:12:33.577Z","updated_at":"2023-06-09T07:12:33.577Z"}],"licence_links":[],"grants":[{"id":3668,"fairsharing_record_id":2876,"organisation_id":513,"relation":"maintains","created_at":"2021-09-30T09:26:23.008Z","updated_at":"2021-09-30T09:26:23.008Z","grant_id":null,"is_lead":false,"saved_state":{"id":513,"name":"Chinese Academy of Medical Sciences \u0026 Peking Union Medical College","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3669,"fairsharing_record_id":2876,"organisation_id":1872,"relation":"funds","created_at":"2021-09-30T09:26:23.034Z","updated_at":"2021-09-30T09:29:11.845Z","grant_id":135,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology, Beijing, China","grant":"Precision medicine research; 2016YFC0901602","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2888","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T13:23:13.000Z","updated_at":"2023-12-15T10:30:10.139Z","metadata":{"doi":"10.25504/FAIRsharing.3J6NYn","name":"Encyclopedia of Life","status":"ready","contacts":[{"contact_name":"EOL Secretariat","contact_email":"secretariat@eol.org","contact_orcid":"0000-0002-9943-2342"}],"homepage":"https://eol.org/","citations":[],"identifier":2888,"description":"The Encyclopedia of Life (EOL) is a collaborative encyclopedia to describe all known living species. It identifies sources of biodiversity knowledge that are legally and practically shareable; integrates them with other sources and adds metadata; provides searching and other services; and collaborates with other projects to support data sharing.","abbreviation":"EOL","data_curation":{"url":"https://eol.org/docs/what-is-eol","type":"manual/automated"},"support_links":[{"url":"secretariat@eol.org","name":"Jen Hammock","type":"Support email"},{"url":"https://discuss.eol.org/","name":"EOL Open Forum","type":"Forum"},{"url":"https://eol.org/docs/what-is-eol","name":"About","type":"Help documentation"},{"url":"https://twitter.com/eol","name":"@eol","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"http://vera.cc.gatech.edu/docs/example","name":"VERA Modelling 1.1.3"},{"url":"https://education.eol.org/card_maker","name":"EOL Biodiversity Cards 2020"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010229","name":"re3data:r3d100010229","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005905","name":"SciCrunch:RRID:SCR_005905","portal":"SciCrunch"}],"data_access_condition":{"url":"https://eol.org/docs/what-is-eol/data-services","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001389","bsg-d001389"],"name":"FAIRsharing record for: Encyclopedia of Life","abbreviation":"EOL","url":"https://fairsharing.org/10.25504/FAIRsharing.3J6NYn","doi":"10.25504/FAIRsharing.3J6NYn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Encyclopedia of Life (EOL) is a collaborative encyclopedia to describe all known living species. It identifies sources of biodiversity knowledge that are legally and practically shareable; integrates them with other sources and adds metadata; provides searching and other services; and collaborates with other projects to support data sharing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Ecology","Biodiversity","Biology"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia","Egypt","Mexico","United States"],"publications":[],"licence_links":[{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":1722,"relation":"undefined"},{"licence_name":"Various Creative Commons licenses","licence_id":838,"licence_url":"https://creativecommons.org/licenses/","link_id":1721,"relation":"undefined"}],"grants":[{"id":3696,"fairsharing_record_id":2888,"organisation_id":212,"relation":"maintains","created_at":"2021-09-30T09:26:23.969Z","updated_at":"2021-09-30T09:26:23.969Z","grant_id":null,"is_lead":false,"saved_state":{"id":212,"name":"Bibliotheca Alexandrina","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3697,"fairsharing_record_id":2888,"organisation_id":2579,"relation":"maintains","created_at":"2021-09-30T09:26:24.003Z","updated_at":"2021-09-30T09:26:24.003Z","grant_id":null,"is_lead":false,"saved_state":{"id":2579,"name":"Smithsonian National Museum of Natural History, Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2889","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T13:39:57.000Z","updated_at":"2023-12-15T10:31:35.341Z","metadata":{"doi":"10.25504/FAIRsharing.9b63c9","name":"Catalogue of Life","status":"ready","contacts":[{"contact_name":"COL Support","contact_email":"support@sp2000.org"},{"contact_name":"Olaf Bánki","contact_email":"olaf.banki@naturalis.nl","contact_orcid":"0000-0001-6197-9951"}],"homepage":"https://www.catalogueoflife.org/","citations":[],"identifier":2889,"description":"The Catalogue of Life (COL) stores information on species and their distribution across the globe. It consists of a single integrated species checklist and taxonomic hierarchy. The Catalogue holds essential information on the names, relationships and distributions of over 1.8 million species. This figure continues to rise as information is compiled from diverse sources around the world. The Catalogue of Life provides critical species information on: synonymy enabling the effective referral of alternative species names to an accepted name; higher taxa within which a species is clustered; and distribution identifying the global regions from which a species is known.","abbreviation":"COL","data_curation":{"url":"https://www.catalogueoflife.org/about/colpipeline","type":"manual"},"support_links":[{"url":"http://blog.catalogueoflife.org/","name":"COL Blog","type":"Blog/News"},{"url":"https://www.catalogueoflife.org/about/glossary.html","name":"Glossary","type":"Help documentation"},{"url":"https://www.catalogueoflife.org/about/colpipeline","name":"Data Pipeline","type":"Help documentation"},{"url":"https://www.catalogueoflife.org/about/catalogueoflife","name":"About","type":"Help documentation"}],"year_creation":2001,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011241","name":"re3data:r3d100011241","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006701","name":"SciCrunch:RRID:SCR_006701","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.catalogueoflife.org/about/colpipeline#constructing-the-col-checklist","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001390","bsg-d001390"],"name":"FAIRsharing record for: Catalogue of Life","abbreviation":"COL","url":"https://fairsharing.org/10.25504/FAIRsharing.9b63c9","doi":"10.25504/FAIRsharing.9b63c9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Catalogue of Life (COL) stores information on species and their distribution across the globe. It consists of a single integrated species checklist and taxonomic hierarchy. The Catalogue holds essential information on the names, relationships and distributions of over 1.8 million species. This figure continues to rise as information is compiled from diverse sources around the world. The Catalogue of Life provides critical species information on: synonymy enabling the effective referral of alternative species names to an accepted name; higher taxa within which a species is clustered; and distribution identifying the global regions from which a species is known.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18164},{"linking_record_name":"Biodiversity Community Integrated Knowledge Library","linking_record_id":3776,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13909}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Taxonomy","Biodiversity"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":79,"relation":"undefined"}],"grants":[{"id":9673,"fairsharing_record_id":2889,"organisation_id":3594,"relation":"collaborates_on","created_at":"2022-07-13T12:06:05.592Z","updated_at":"2022-07-13T12:06:05.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":3594,"name":"Illinois Natural History Survey","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9674,"fairsharing_record_id":2889,"organisation_id":2094,"relation":"collaborates_on","created_at":"2022-07-13T12:06:05.737Z","updated_at":"2022-07-13T12:06:05.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":2094,"name":"Naturalis Biodiversity Center","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":8847,"fairsharing_record_id":2889,"organisation_id":1166,"relation":"collaborates_on","created_at":"2022-02-10T13:19:00.094Z","updated_at":"2022-02-10T13:19:00.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":3698,"fairsharing_record_id":2889,"organisation_id":2614,"relation":"maintains","created_at":"2021-09-30T09:26:24.027Z","updated_at":"2021-09-30T09:26:24.027Z","grant_id":null,"is_lead":true,"saved_state":{"id":2614,"name":"Species 2000 Secretariat, Naturalis Biodiversity Center","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBamtCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--0128323693d50142f35e8b8611af053259133f88/col_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2890","type":"fairsharing_records","attributes":{"created_at":"2020-01-23T14:48:45.000Z","updated_at":"2023-12-15T10:30:37.153Z","metadata":{"doi":"10.25504/FAIRsharing.f6f1cd","name":"European and Mediterranean Plant Protection Organization Global Database","status":"ready","contacts":[{"contact_name":"EPPO Secretariat","contact_email":"hq@eppo.int"}],"homepage":"https://gd.eppo.int/","citations":[],"identifier":2890,"description":"The European and Mediterranean Plant Protection Organization Global Database (EPPO) GD provides all pest-specific information that has been produced or collected by EPPO. Data includes plant and pest species (such as scientific names, synonyms, common names in different languages, taxonomic position, EPPO codes and geographic distribution), EPPO datasheets and PRA reports, and images.","abbreviation":"EPPO GD","data_curation":{"url":"https://gd.eppo.int/media/files/photos_user-guide.pdf","type":"manual"},"support_links":[{"url":"https://gd.eppo.int/contact","name":"EPPO GD Contact Form","type":"Contact form"},{"url":"https://gd.eppo.int/media/files/general_user-guide_2019_09.pdf","name":"User Guide","type":"Help documentation"},{"url":"https://twitter.com/EPPOnews","name":"@EPPOnews","type":"Twitter"}],"year_creation":1990,"data_versioning":"yes","associated_tools":[{"url":"https://gd.eppo.int/gddesktop/","name":"EPPO GD Desktop 2019.06.28"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012225","name":"re3data:r3d100012225","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gd.eppo.int/media/files/photos_user-guide.pdf","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001391","bsg-d001391"],"name":"FAIRsharing record for: European and Mediterranean Plant Protection Organization Global Database","abbreviation":"EPPO GD","url":"https://fairsharing.org/10.25504/FAIRsharing.f6f1cd","doi":"10.25504/FAIRsharing.f6f1cd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European and Mediterranean Plant Protection Organization Global Database (EPPO) GD provides all pest-specific information that has been produced or collected by EPPO. Data includes plant and pest species (such as scientific names, synonyms, common names in different languages, taxonomic position, EPPO codes and geographic distribution), EPPO datasheets and PRA reports, and images.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Forest Management","Agriculture"],"domains":["Geographical location","Pathogen"],"taxonomies":["All"],"user_defined_tags":["Invasive Species"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":3699,"fairsharing_record_id":2890,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:24.052Z","updated_at":"2021-09-30T09:26:24.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3700,"fairsharing_record_id":2890,"organisation_id":874,"relation":"maintains","created_at":"2021-09-30T09:26:24.084Z","updated_at":"2021-09-30T09:26:24.084Z","grant_id":null,"is_lead":true,"saved_state":{"id":874,"name":"EPPO Secretariat","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2886","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T12:49:11.000Z","updated_at":"2023-12-15T10:29:48.176Z","metadata":{"doi":"10.25504/FAIRsharing.yNNTvk","name":"Biodiversity Heritage Library","status":"ready","contacts":[{"contact_name":"BHL Feedback","contact_email":"feedback@biodiversitylibrary.org"}],"homepage":"https://biodiversitylibrary.org/","citations":[],"identifier":2886,"description":"The Biodiversity Heritage Library (BHL) is the world’s largest open access digital library for biodiversity literature and archives. Operating as an international library consortium, BHL provides free access to millions of pages, representing over 500 years of scientific research, alongside services like data exports, APIs, and taxonomic intelligence tools to facilitate discovery and reuse of data and collections.","abbreviation":"BHL","data_curation":{"url":"https://about.biodiversitylibrary.org/tools-and-services/data-disclaimer/","type":"manual/automated","notes":"The data in BHL’s collection is sourced and aggregated from its consortium partners and Internet Archive contributors. It is provided “as is,” without express or implied warranty as to accuracy, reliability, or fitness for any particular application. The data for digitized legacy materials is curated to the best of our ability to facilitate the discovery of BHL"},"support_links":[{"url":"https://blog.biodiversitylibrary.org/","name":"BHL Blog","type":"Blog/News"},{"url":"https://about.biodiversitylibrary.org/help/faq/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://about.biodiversitylibrary.org/help/","name":"Help Pages","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/about/bhl-community/#Altmetric","name":"Altmetrics","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/","name":"About","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/ufaq-category/dois_uris/","name":"DOI Generation","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/about/bhl-consortium/#BHLparticipatingInstitutions","name":"BHL Members","type":"Help documentation"},{"url":"https://about.biodiversitylibrary.org/about/bhl-funding/","name":"Funding Details","type":"Help documentation"},{"url":"https://github.com/gbhl/bhl-us","name":"GitHub Project","type":"Github"},{"url":"https://twitter.com/BioDivLibrary","name":"@BioDivLibrary","type":"Twitter"}],"year_creation":2005,"data_versioning":"no","associated_tools":[{"url":"https://about.biodiversitylibrary.org/ufaq-category/scinames/","name":"Scientific Names Tools"},{"url":"https://about.biodiversitylibrary.org/ufaq-category/reftools/","name":"Reference Management Tools"}],"data_access_condition":{"url":"https://about.biodiversitylibrary.org/ufaqs/how-do-i-get-all-the-data-about-bhl-books-and-scientific-names/","type":"open","notes":"BHL provides all its bibliographic and scientific name data for download and reuse via various web-services"},"resource_sustainability":{"url":"https://about.biodiversitylibrary.org/ufaqs/how-is-bhl-funded/","name":"How is BHL funded?"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://about.biodiversitylibrary.org/ufaqs/can-i-contribute-content-to-the-bhl-collection/","type":"controlled","notes":"Incorporating content from outside our consortium partnership is tricky, but we would be glad to review your content for inclusion."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001387","bsg-d001387"],"name":"FAIRsharing record for: Biodiversity Heritage Library","abbreviation":"BHL","url":"https://fairsharing.org/10.25504/FAIRsharing.yNNTvk","doi":"10.25504/FAIRsharing.yNNTvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biodiversity Heritage Library (BHL) is the world’s largest open access digital library for biodiversity literature and archives. Operating as an international library consortium, BHL provides free access to millions of pages, representing over 500 years of scientific research, alongside services like data exports, APIs, and taxonomic intelligence tools to facilitate discovery and reuse of data and collections.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biodiversity"],"domains":["Citation","Bibliography","Journal article","Publication","Data storage","FAIR"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2735,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":1055,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1054,"relation":"applies_to_content"}],"grants":[{"id":3694,"fairsharing_record_id":2886,"organisation_id":2745,"relation":"maintains","created_at":"2021-09-30T09:26:23.903Z","updated_at":"2021-09-30T09:26:23.903Z","grant_id":null,"is_lead":true,"saved_state":{"id":2745,"name":"The Biodiversity Heritage Library (BHL)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBOQT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--7b189ae7502b038e3c531a8d9c0d7a32f863dd05/BHL-Combined-About-300x97.png?disposition=inline","exhaustive_licences":false}},{"id":"2887","type":"fairsharing_records","attributes":{"created_at":"2020-01-21T13:04:35.000Z","updated_at":"2023-12-15T10:32:19.233Z","metadata":{"doi":"10.25504/FAIRsharing.dfd3a1","name":"Plants of the World Online","status":"ready","contacts":[{"contact_name":"POWO Team","contact_email":"bi@kew.org"}],"homepage":"http://powo.science.kew.org/","citations":[],"identifier":2887,"description":"The Plants of the World Online portal (POWO), is a database created to store information on all the world's known seed-bearing plants.Coverage will increase over time. Data comes from a variety of sources which are both monographic (global) and regional in scope. These data sources vary in the extent to which comprehensive synonymy is included, their stage of development (proximity to publication) and the degree to which they have been exposed to peer review.","abbreviation":"POWO","data_curation":{"url":"https://powo.science.kew.org/compilers-and-reviewers","type":"manual"},"support_links":[{"url":"http://powo.science.kew.org/search-help","name":"Help","type":"Help documentation"},{"url":"http://powo.science.kew.org/about","name":"About POWO","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001388","bsg-d001388"],"name":"FAIRsharing record for: Plants of the World Online","abbreviation":"POWO","url":"https://fairsharing.org/10.25504/FAIRsharing.dfd3a1","doi":"10.25504/FAIRsharing.dfd3a1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plants of the World Online portal (POWO), is a database created to store information on all the world's known seed-bearing plants.Coverage will increase over time. Data comes from a variety of sources which are both monographic (global) and regional in scope. These data sources vary in the extent to which comprehensive synonymy is included, their stage of development (proximity to publication) and the degree to which they have been exposed to peer review.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany"],"domains":["Data storage"],"taxonomies":["Spermatophyta"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"POWO Terms of use","licence_id":905,"licence_url":"https://www.kew.org/terms-of-use","link_id":2579,"relation":"applies_to_content"}],"grants":[{"id":3695,"fairsharing_record_id":2887,"organisation_id":2461,"relation":"maintains","created_at":"2021-09-30T09:26:23.936Z","updated_at":"2021-09-30T09:26:23.936Z","grant_id":null,"is_lead":true,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew, London, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2905","type":"fairsharing_records","attributes":{"created_at":"2020-03-11T13:52:50.000Z","updated_at":"2023-12-15T10:33:00.048Z","metadata":{"doi":"10.25504/FAIRsharing.7qBaJ0","name":"Genome Warehouse","status":"ready","contacts":[{"contact_name":"GWH Helpdesk","contact_email":"gwh@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/gwh/","identifier":2905,"description":"The Genome Warehouse (GWH) is a public archival resource housing genome-scale data for a wide range of species. GWH accepts a variety of data types, including whole genome, chloroplast, mitochondrion and plasmid. For each collected genome assembly, GWH incorporates descriptive information including biological sample metadata, genome assembly metadata, sequence data and genome annotation, and offers standardized quality control for genome sequence and annotation.","abbreviation":"GWH","data_curation":{"url":"https://ngdc.cncb.ac.cn/gwh/documents/Gsub-GWH_Submission_Quick_Start_Guide-beta.pdf","type":"automated","notes":"Gsub system checks all submitted files."},"support_links":[{"url":"https://bigd.big.ac.cn/gwh/documents","name":"Documentation for GWH Submission","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/gwh/statistics/index","name":"Statistics","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/gwh/tool_documents","name":"Documentation for GWH Tools","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013428","name":"re3data:r3d100013428","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ngdc.cncb.ac.cn/gwh/documents/Gsub-GWH_Submission_Quick_Start_Guide-beta.pdf","type":"open","notes":"Free account is required for data deposition."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001406","bsg-d001406"],"name":"FAIRsharing record for: Genome Warehouse","abbreviation":"GWH","url":"https://fairsharing.org/10.25504/FAIRsharing.7qBaJ0","doi":"10.25504/FAIRsharing.7qBaJ0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Genome Warehouse (GWH) is a public archival resource housing genome-scale data for a wide range of species. GWH accepts a variety of data types, including whole genome, chloroplast, mitochondrion and plasmid. For each collected genome assembly, GWH incorporates descriptive information including biological sample metadata, genome assembly metadata, sequence data and genome annotation, and offers standardized quality control for genome sequence and annotation.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12336},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12876}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Virology","Microbiology"],"domains":["DNA sequence data","Genome annotation","Genomic assembly","Plasmid","Mitochondrial sequence","Chloroplast sequence","Genome"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["China"],"publications":[{"id":513,"pubmed_id":30365034,"title":"Database Resources of the BIG Data Center in 2019.","year":2018,"url":"http://doi.org/10.1093/nar/gky993","authors":"BIG Data Center Members.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky993","created_at":"2021-09-30T08:23:15.990Z","updated_at":"2021-09-30T11:28:46.885Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":445,"relation":"undefined"}],"grants":[{"id":3720,"fairsharing_record_id":2905,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.585Z","updated_at":"2021-09-30T09:26:24.585Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2906","type":"fairsharing_records","attributes":{"created_at":"2020-03-11T14:30:19.000Z","updated_at":"2023-06-23T10:41:37.687Z","metadata":{"doi":"10.25504/FAIRsharing.d90938","name":"Information Commons for Rice","status":"ready","contacts":[{"contact_name":"Lili Hao","contact_email":"haolili@big.ac.cn"}],"homepage":"http://ic4r.org","citations":[{"doi":"10.1093/nar/gkv1141","pubmed_id":26519466,"publication_id":2724}],"identifier":2906,"description":"Information Commons for Rice (IC4R) is a rice knowledgebase that incorporates rice data through multiple modules such as genome-wide expression profiles derived entirely from RNA-Seq data, resequencing-based genomic variations obtained from re-sequencing data of thousands of rice varieties, plant homologous genes covering multiple diverse plant species, post-translational modifications, rice-related literatures and gene annotations contributed by the rice research community.","abbreviation":"IC4R","data_curation":{"type":"not found"},"support_links":[{"url":"sangj@big.ac.cn","name":"Jian Sang","type":"Support email"},{"url":"http://ic4r.org/faq","name":"IC4R FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://ic4r.org/contact","name":"Contact Information","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Users can contribute by improving annotation but they can't deposit data"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001407","bsg-d001407"],"name":"FAIRsharing record for: Information Commons for Rice","abbreviation":"IC4R","url":"https://fairsharing.org/10.25504/FAIRsharing.d90938","doi":"10.25504/FAIRsharing.d90938","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Information Commons for Rice (IC4R) is a rice knowledgebase that incorporates rice data through multiple modules such as genome-wide expression profiles derived entirely from RNA-Seq data, resequencing-based genomic variations obtained from re-sequencing data of thousands of rice varieties, plant homologous genes covering multiple diverse plant species, post-translational modifications, rice-related literatures and gene annotations contributed by the rice research community.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Expression data","DNA sequence data","Genome annotation","Gene expression","RNA sequencing","Homologous"],"taxonomies":["Oryza"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":507,"pubmed_id":29036542,"title":"Database Resources of the BIG Data Center in 2018.","year":2017,"url":"http://doi.org/10.1093/nar/gkx897","authors":"BIG Data Center Members ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx897","created_at":"2021-09-30T08:23:15.298Z","updated_at":"2021-09-30T11:29:51.279Z"},{"id":2724,"pubmed_id":26519466,"title":"Information Commons for Rice (IC4R).","year":2015,"url":"http://doi.org/10.1093/nar/gkv1141","authors":"Hao L,Zhang H,Zhang Z,Hu S,Xue Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1141","created_at":"2021-09-30T08:27:34.611Z","updated_at":"2021-09-30T11:29:41.878Z"},{"id":2821,"pubmed_id":24136999,"title":"RiceWiki: a wiki-based database for community curation of rice genes.","year":2013,"url":"http://doi.org/10.1093/nar/gkt926","authors":"Zhang Z,Sang J,Ma L,Wu G,Wu H,Huang D,Zou D,Liu S,Li A,Hao L,Tian M,Xu C,Wang X,Wu J,Xiao J,Dai L,Chen LL,Hu S,Yu J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt926","created_at":"2021-09-30T08:27:46.912Z","updated_at":"2021-09-30T11:29:46.539Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":108,"relation":"undefined"}],"grants":[{"id":3721,"fairsharing_record_id":2906,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.611Z","updated_at":"2021-09-30T09:26:24.611Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2908","type":"fairsharing_records","attributes":{"created_at":"2020-03-16T11:54:12.000Z","updated_at":"2024-07-09T12:51:58.830Z","metadata":{"name":"Internal Control Genes","status":"deprecated","contacts":[{"contact_name":"Lili Hao","contact_email":"haolili@big.ac.cn"}],"homepage":"http://icg.big.ac.cn/index.php/Main_Page","citations":[{"doi":"10.1093/nar/gkx875","pubmed_id":29036693,"publication_id":2808}],"identifier":2908,"description":"Internal Control Genes (ICG) is a wiki-based knowledgebase of internal control genes (or reference genes) for RT-qPCR normalization in a variety of species across three domains of life. Based on community curation, ICG provides curated data from a large volume of literature and provides information on internal control genes corresponding to specific experimental conditions for both model and non-model organisms. ","abbreviation":"ICG","data_curation":{"type":"not found"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"http://icg.big.ac.cn/index.php/ICG:FAQ","name":"ICG FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://icg.big.ac.cn/index.php/ICG:Statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://bigd.big.ac.cn/gen/","name":"Gene Expression Nebulas (GEN) Data Portal"}],"deprecation_date":"2024-07-08","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001411","bsg-d001411"],"name":"FAIRsharing record for: Internal Control Genes","abbreviation":"ICG","url":"https://fairsharing.org/fairsharing_records/2908","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Internal Control Genes (ICG) is a wiki-based knowledgebase of internal control genes (or reference genes) for RT-qPCR normalization in a variety of species across three domains of life. Based on community curation, ICG provides curated data from a large volume of literature and provides information on internal control genes corresponding to specific experimental conditions for both model and non-model organisms. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12877}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics"],"domains":["Expression data","Real time polymerase chain reaction","Gene expression"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2808,"pubmed_id":29036693,"title":"ICG: a wiki-driven knowledgebase of internal control genes for RT-qPCR normalization.","year":2017,"url":"http://doi.org/10.1093/nar/gkx875","authors":"Sang J,Wang Z,Li M,Cao J,Niu G,Xia L,Zou D,Wang F,Xu X,Han X,Fan J,Yang Y,Zuo W,Zhang Y,Zhao W,Bao Y,Xiao J,Hu S,Hao L,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx875","created_at":"2021-09-30T08:27:45.286Z","updated_at":"2021-09-30T11:29:45.520Z"}],"licence_links":[],"grants":[{"id":3723,"fairsharing_record_id":2908,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.683Z","updated_at":"2021-09-30T09:26:24.683Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2909","type":"fairsharing_records","attributes":{"created_at":"2020-03-16T13:55:06.000Z","updated_at":"2023-06-23T16:01:24.589Z","metadata":{"name":"Mammalian Transcriptomic Database","status":"uncertain","contacts":[{"contact_email":"junyu@big.ac.cn"}],"homepage":"http://mtd.cbi.ac.cn/","citations":[{"doi":"10.1093/bib/bbv117","pubmed_id":26822098,"publication_id":2810}],"identifier":2909,"description":"The Mammalian Transcriptomic Database (MTD) was created to store information on mammalian transcriptomes. The MTD allows browsing of genes based on their neighboring genomic coordinates or joint KEGG pathway and provides expression information on exons, transcripts and genes via a genome browser. The MTD also allows comparative transcriptomic analyses. The data in this resource has not been updated recently, and therefore we have marked this record as Uncertain. Please get in touch if you know the current status of this resource.","abbreviation":"MTD","data_curation":{"type":"not found"},"support_links":[{"url":"xiaojingfa@big.ac.cn","name":"xiaojingfa@big.ac.cn","type":"Support email"},{"url":"http://mtd.cbi.ac.cn/faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mtd.cbi.ac.cn/tutorial.php","name":"User Guide","type":"Help documentation"},{"url":"http://mtd.cbi.ac.cn/contact.php","name":"Contact Details","type":"Help documentation"},{"url":"http://mtd.cbi.ac.cn/pipeline.php","name":"Data Pipeline","type":"Help documentation"},{"url":"http://mtd.cbi.ac.cn/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://bigd.big.ac.cn/gen/","name":"Gene Expression Nebulas (GEN) Data Portal"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012214","name":"re3data:r3d100012214","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001412","bsg-d001412"],"name":"FAIRsharing record for: Mammalian Transcriptomic Database","abbreviation":"MTD","url":"https://fairsharing.org/fairsharing_records/2909","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mammalian Transcriptomic Database (MTD) was created to store information on mammalian transcriptomes. The MTD allows browsing of genes based on their neighboring genomic coordinates or joint KEGG pathway and provides expression information on exons, transcripts and genes via a genome browser. The MTD also allows comparative transcriptomic analyses. The data in this resource has not been updated recently, and therefore we have marked this record as Uncertain. Please get in touch if you know the current status of this resource.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12878}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Transcriptomics"],"domains":["Expression data","Gene expression","RNA sequencing"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus","Sus scrofa"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2810,"pubmed_id":26822098,"title":"MTD: a mammalian transcriptomic database to explore gene expression and regulation.","year":2016,"url":"http://doi.org/10.1093/bib/bbv117","authors":"Sheng X,Wu J,Sun Q,Li X,Xian F,Sun M,Fang W,Chen M,Yu J,Xiao J","journal":"Brief Bioinform","doi":"10.1093/bib/bbv117","created_at":"2021-09-30T08:27:45.523Z","updated_at":"2021-09-30T08:27:45.523Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1135,"relation":"undefined"}],"grants":[{"id":3724,"fairsharing_record_id":2909,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.721Z","updated_at":"2021-09-30T09:26:24.721Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2910","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T11:02:37.000Z","updated_at":"2023-06-23T15:09:39.291Z","metadata":{"doi":"10.25504/FAIRsharing.86ec7a","name":"Leaf Senescence Database","status":"ready","contacts":[{"contact_name":"Zhonghai Li","contact_email":"lizhonghai@bjfu.edu.cn"}],"homepage":"https://bigd.big.ac.cn/lsd/","citations":[{"doi":"10.1093/nar/gkz898","pubmed_id":31599330,"publication_id":2811}],"identifier":2910,"description":"The Leaf Senescence Database (LSD) is a comprehensive resource of senescence-associated genes (SAGs) and their corresponding mutants. LSD includes data types such as leaf senescence-associated transcriptomics, phenotype and interaction data.","abbreviation":"LSD","data_curation":{"type":"not found"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"https://bigd.big.ac.cn/lsd/faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bigd.big.ac.cn/lsd/help.php","name":"Help Pages","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/lsd/about.php","name":"About LSD","type":"Help documentation"}],"year_creation":2011,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001413","bsg-d001413"],"name":"FAIRsharing record for: Leaf Senescence Database","abbreviation":"LSD","url":"https://fairsharing.org/10.25504/FAIRsharing.86ec7a","doi":"10.25504/FAIRsharing.86ec7a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Leaf Senescence Database (LSD) is a comprehensive resource of senescence-associated genes (SAGs) and their corresponding mutants. LSD includes data types such as leaf senescence-associated transcriptomics, phenotype and interaction data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Transcriptomics","Plant Genetics"],"domains":["Molecular interaction","Phenotype"],"taxonomies":["Viridiplantae"],"user_defined_tags":["Senescence"],"countries":["China"],"publications":[{"id":2811,"pubmed_id":31599330,"title":"LSD 3.0: a comprehensive resource for the leaf senescence research community.","year":2019,"url":"http://doi.org/10.1093/nar/gkz898","authors":"Li Z,Zhang Y,Zou D,Zhao Y,Wang HL,Zhang Y,Xia X,Luo J,Guo H,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz898","created_at":"2021-09-30T08:27:45.637Z","updated_at":"2021-09-30T11:29:45.620Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":106,"relation":"undefined"}],"grants":[{"id":3725,"fairsharing_record_id":2910,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.754Z","updated_at":"2021-09-30T09:26:24.754Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2911","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T11:24:27.000Z","updated_at":"2023-12-15T10:28:14.519Z","metadata":{"doi":"10.25504/FAIRsharing.d1a9bd","name":"MethBank","status":"ready","contacts":[{"contact_name":"Rujiao Li","contact_email":"lirj@big.ac.cn"},{"contact_name":"General Contact","contact_email":"methbank@big.ac.cn","contact_orcid":null}],"homepage":"https://ngdc.cncb.ac.cn/methbank/","citations":[{"doi":"10.1093/nar/gkx1139","pubmed_id":29161430,"publication_id":2812}],"identifier":2911,"description":"MethBank stores DNA methylome data across a variety of species. MethBank integrates consensus reference methylomes (CRMs) compiled from healthy human samples at different ages, single-base resolution methylomes (SRMs) of both plant and animal species.","abbreviation":"MethBank","data_curation":{"url":"https://ngdc.cncb.ac.cn/methbank/faq","type":"manual/automated"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"methbank@big.ac.cn","name":"methbank@big.ac.cn","type":"Support email"},{"url":"https://bigd.big.ac.cn/methbank/faq","name":"FAQ and Documentation","type":"Help documentation"},{"url":"https://bigd.big.ac.cn/methbank/release","name":"Release Notes","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"https://ngdc.cncb.ac.cn/methbank/tools/age/predictor","name":"Age Predictor"},{"url":"http://wbsa.big.ac.cn/","name":"Web Tools for Bisulphite Sequencing Data Analysis (WBSA)"},{"url":"https://ngdc.cncb.ac.cn/methbank/tools/dmr/toolkit","name":"DMR Toolkit"},{"url":"https://ngdc.cncb.ac.cn/methbank/tools/idmp","name":"Identification of Differentially Methylated Polymers (IDMP)"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001414","bsg-d001414"],"name":"FAIRsharing record for: MethBank","abbreviation":"MethBank","url":"https://fairsharing.org/10.25504/FAIRsharing.d1a9bd","doi":"10.25504/FAIRsharing.d1a9bd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MethBank stores DNA methylome data across a variety of species. MethBank integrates consensus reference methylomes (CRMs) compiled from healthy human samples at different ages, single-base resolution methylomes (SRMs) of both plant and animal species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12879}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenomics","Epigenetics"],"domains":["DNA methylation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2812,"pubmed_id":29161430,"title":"MethBank 3.0: a database of DNA methylomes across a variety of species.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1139","authors":"Li R,Liang F,Li M,Zou D,Sun S,Zhao Y,Zhao W,Bao Y,Xiao J,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1139","created_at":"2021-09-30T08:27:45.777Z","updated_at":"2021-09-30T11:29:45.720Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2718,"relation":"applies_to_content"}],"grants":[{"id":3726,"fairsharing_record_id":2911,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.787Z","updated_at":"2021-09-30T09:26:24.787Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaW9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--96394b571bd60ae8d555cf5283d5e3d8a46e1b61/mb.png?disposition=inline","exhaustive_licences":false}},{"id":"2912","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T12:58:02.000Z","updated_at":"2023-12-15T10:32:35.755Z","metadata":{"doi":"10.25504/FAIRsharing.436c95","name":"NucMap","status":"ready","contacts":[{"contact_name":"NucMap Helpdesk","contact_email":"nucmap@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/nucmap/","citations":[{"doi":"10.1093/nar/gky980","pubmed_id":30335176,"publication_id":2815}],"identifier":2912,"description":"NucMap is a database of genome-wide nucleosome positioning across multiple species. Based on raw sequence data from published studies, NucMap integrates, analyzes, and visualizes nucleosome positioning data across species.","abbreviation":"NucMap","data_curation":{"url":"https://ngdc.cncb.ac.cn/nucmap/Faq.php#q12","type":"manual/automated"},"support_links":[{"url":"https://bigd.big.ac.cn/nucmap/Faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bigd.big.ac.cn/nucmap/Data_statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","associated_tools":[{"url":"https://bigd.big.ac.cn/nucmap/Analysis.php","name":"Enrichment analysis of nucleosome occupancy"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001415","bsg-d001415"],"name":"FAIRsharing record for: NucMap","abbreviation":"NucMap","url":"https://fairsharing.org/10.25504/FAIRsharing.436c95","doi":"10.25504/FAIRsharing.436c95","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NucMap is a database of genome-wide nucleosome positioning across multiple species. Based on raw sequence data from published studies, NucMap integrates, analyzes, and visualizes nucleosome positioning data across species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12880}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Structural Biology"],"domains":["Molecular structure","DNA structural variation","Histone"],"taxonomies":["Arabidopsis thaliana","Caenorhabditis elegans","Candida albicans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Neurospora crassa","Oryza sativa","Plasmodium falciparum","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Trypanosoma brucei","Xenopus laevis","Zea mays"],"user_defined_tags":["Nucleosome"],"countries":["China"],"publications":[{"id":2815,"pubmed_id":30335176,"title":"NucMap: a database of genome-wide nucleosome positioning map across species.","year":2018,"url":"http://doi.org/10.1093/nar/gky980","authors":"Zhao Y,Wang J,Liang F,Liu Y,Wang Q,Zhang H,Jiang M,Zhang Z,Zhao W,Bao Y,Zhang Z,Wu J,Asmann YW,Li R,Xiao J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky980","created_at":"2021-09-30T08:27:46.169Z","updated_at":"2021-09-30T11:29:46.119Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1136,"relation":"undefined"}],"grants":[{"id":3727,"fairsharing_record_id":2912,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.810Z","updated_at":"2021-09-30T09:26:24.810Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2913","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T13:37:18.000Z","updated_at":"2023-12-15T10:30:42.380Z","metadata":{"doi":"10.25504/FAIRsharing.4ef690","name":"Plant Editosome Database","status":"ready","contacts":[{"contact_name":"Lili Hao","contact_email":"haolili@big.ac.cn"}],"homepage":"https://bigd.big.ac.cn/ped","citations":[{"doi":"10.1093/nar/gky1026","pubmed_id":30364952,"publication_id":2816}],"identifier":2913,"description":"The Plant Editosome Database (PED) is a curated database of plant RNA editing factors (editosomes). The data has been drawn from publications and organelle genome annotations. PED incorporates RNA editing factors and associated data across a number of plant species.","abbreviation":"PED","data_curation":{"url":"https://ngdc.cncb.ac.cn/ped/help#curationmodel","type":"manual"},"support_links":[{"url":"zhangzhang@big.ac.cn","name":"Zhang Zhang","type":"Support email"},{"url":"https://bigd.big.ac.cn/ped/help","name":"Help Pages","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001416","bsg-d001416"],"name":"FAIRsharing record for: Plant Editosome Database","abbreviation":"PED","url":"https://fairsharing.org/10.25504/FAIRsharing.4ef690","doi":"10.25504/FAIRsharing.4ef690","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Plant Editosome Database (PED) is a curated database of plant RNA editing factors (editosomes). The data has been drawn from publications and organelle genome annotations. PED incorporates RNA editing factors and associated data across a number of plant species.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Plant Genetics"],"domains":["RNA modification","Organelle"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2816,"pubmed_id":30364952,"title":"Plant editosome database: a curated database of RNA editosome in plants.","year":2018,"url":"http://doi.org/10.1093/nar/gky1026","authors":"Li M,Xia L,Zhang Y,Niu G,Li M,Wang P,Zhang Y,Sang J,Zou D,Hu S,Hao L,Zhang Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1026","created_at":"2021-09-30T08:27:46.286Z","updated_at":"2021-09-30T11:29:46.212Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)","licence_id":163,"licence_url":"https://creativecommons.org/licenses/by/3.0/cn/","link_id":1264,"relation":"undefined"}],"grants":[{"id":3728,"fairsharing_record_id":2913,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.836Z","updated_at":"2021-09-30T09:26:24.836Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2914","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T14:22:27.000Z","updated_at":"2023-12-15T10:32:36.068Z","metadata":{"doi":"10.25504/FAIRsharing.0ee3ed","name":"PGG.Han","status":"ready","contacts":[{"contact_name":"PGG.Han Helpdesk","contact_email":"pggadmin@picb.ac.cn"}],"homepage":"https://www.biosino.org/pgghan2/index","citations":[{"doi":"10.1093/nar/gkz829","pubmed_id":31584086,"publication_id":2817}],"identifier":2914,"description":"The Han Chinese Genomes Database (PGG.Han 2.0) serves as the central repository of the genomic data of the Han Chinese Genomes Project (Phase II). As is its current version, PGG.Han 2.0 archives genomic data of 137,012 Han Chinese individuals (a.k.a. Han100K). Some computational tools are available, as is an interface for data analysis and results visualization.","abbreviation":"PGG.Han","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.biosino.org/pgghan2/about","name":"About","type":"Help documentation"},{"url":"https://www.biosino.org/pgghan2/help","name":"General Help","type":"Help documentation"},{"url":"https://www.biosino.org/pgghan2/data/summary","name":"Summary information for data sets","type":"Help documentation"}],"year_creation":2019,"data_versioning":"no","data_access_condition":{"url":"https://www.biosino.org/pgghan2/about","type":"partially open","notes":"Individual-level data not available; larger-scale data is available"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.biosino.org/pgghan2/about#tab-3","type":"not applicable","notes":"Data is taken from study participants only"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001417","bsg-d001417"],"name":"FAIRsharing record for: PGG.Han","abbreviation":"PGG.Han","url":"https://fairsharing.org/10.25504/FAIRsharing.0ee3ed","doi":"10.25504/FAIRsharing.0ee3ed","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Han Chinese Genomes Database (PGG.Han 2.0) serves as the central repository of the genomic data of the Han Chinese Genomes Project (Phase II). As is its current version, PGG.Han 2.0 archives genomic data of 137,012 Han Chinese individuals (a.k.a. Han100K). Some computational tools are available, as is an interface for data analysis and results visualization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Population Genetics"],"domains":["Single nucleotide polymorphism","Sequence variant","Genome-wide association study","Allele frequency"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2817,"pubmed_id":31584086,"title":"PGG.Han: the Han Chinese genome database and analysis platform.","year":2019,"url":"http://doi.org/10.1093/nar/gkz829","authors":"Gao Y,Zhang C,Yuan L,Ling Y,Wang X,Liu C,Pan Y,Zhang X,Ma X,Wang Y,Lu Y,Yuan K,Ye W,Qian J,Chang H,Cao R,Yang X,Ma L,Ju Y,Dai L,Tang Y,Zhang G,Xu S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz829","created_at":"2021-09-30T08:27:46.444Z","updated_at":"2021-09-30T11:29:46.305Z"}],"licence_links":[],"grants":[{"id":3729,"fairsharing_record_id":2914,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.860Z","updated_at":"2021-09-30T09:26:24.860Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3730,"fairsharing_record_id":2914,"organisation_id":381,"relation":"maintains","created_at":"2021-09-30T09:26:24.886Z","updated_at":"2021-09-30T09:26:24.886Z","grant_id":null,"is_lead":true,"saved_state":{"id":381,"name":"CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaVlEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--cec6972537e8f66a4e1b285c446d47f8a2c6dc53/logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2936","type":"fairsharing_records","attributes":{"created_at":"2020-04-07T10:00:50.000Z","updated_at":"2023-05-05T10:54:25.810Z","metadata":{"doi":"10.25504/FAIRsharing.88637f","name":"Surveillance Epidemiology of Coronavirus (COVID-19) Under Research Exclusion - IBD","status":"deprecated","contacts":[{"contact_name":"Michael D. Kappelman","contact_email":"Michael_Kappelman@med.unc.edu","contact_orcid":"0000-0002-0469-6856"}],"homepage":"https://covidibd.org/","citations":[],"identifier":2936,"description":"Surveillance Epidemiology of Coronavirus Under Research Exclusion (SECURE-IBD) is an international, pediatric and adult database to monitor and report on outcomes of COVID-19 occurring in IBD patients. The goals of the registry is to rapidly define the impact of COVID-19 on patients with IBD and how factors such as age, comorbidities, and IBD treatments impact COVID outcomes.","abbreviation":"SECURE-IBD","data_curation":{"type":"not found"},"support_links":[{"url":"COVID.IBD@unc.edu","name":"General contact","type":"Support email"},{"url":"https://covidibd.org/faq/","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2020,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013313","name":"re3data:r3d100013313","portal":"re3data"}],"deprecation_date":"2023-05-05","deprecation_reason":"SECURE-IBD database is closed since January 24th, 2022.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001439","bsg-d001439"],"name":"FAIRsharing record for: Surveillance Epidemiology of Coronavirus (COVID-19) Under Research Exclusion - IBD","abbreviation":"SECURE-IBD","url":"https://fairsharing.org/10.25504/FAIRsharing.88637f","doi":"10.25504/FAIRsharing.88637f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Surveillance Epidemiology of Coronavirus Under Research Exclusion (SECURE-IBD) is an international, pediatric and adult database to monitor and report on outcomes of COVID-19 occurring in IBD patients. The goals of the registry is to rapidly define the impact of COVID-19 on patients with IBD and how factors such as age, comorbidities, and IBD treatments impact COVID outcomes.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12352},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12899}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Biomedical Science","Epidemiology"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":["Bowel disease","COVID-19"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3783,"fairsharing_record_id":2936,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:26:26.362Z","updated_at":"2021-09-30T09:26:26.362Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3784,"fairsharing_record_id":2936,"organisation_id":3107,"relation":"maintains","created_at":"2021-09-30T09:26:26.386Z","updated_at":"2021-09-30T09:26:26.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":3107,"name":"University of North Carolina, Chapel Hill, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2937","type":"fairsharing_records","attributes":{"created_at":"2020-04-23T09:44:58.000Z","updated_at":"2022-07-20T12:34:25.850Z","metadata":{"name":"Disaster Lit","status":"deprecated","contacts":[{"contact_name":"General contact","contact_email":"dimrc@nlm.nih.gov"}],"homepage":"https://disasterinfo.nlm.nih.gov/disaster-lit","identifier":2937,"description":"Disaster Lit: Database for Disaster Medicine and Public Health is the National Library of Medicine (NLM) database of links to disaster medicine and public health documents available on the Internet at no cost. Documents include expert guidelines, research reports, conference proceedings, training classes, fact sheets, websites, databases, and similar materials for a professional audience. NLM selects materials from over 1,400 non-commercial publishing sources and supplements disaster-related resources from PubMed (biomedical journal literature) and MedlinePlus (health information for the public).","abbreviation":"Disaster Lit","data_curation":{"type":"not found"},"support_links":[{"url":"https://disasterinfo.nlm.nih.gov/disaster-lit-help","type":"Help documentation"},{"url":"https://public.govdelivery.com/accounts/USNLMDIMRC/subscriber/new","type":"Mailing list"},{"url":"https://list.nih.gov/cgi-bin/wa.exe?SUBED1=disastr-outreach-lib\u0026A=1","name":"Interactive discussion list with other librarians, information specialists, and professionals","type":"Mailing list"},{"url":"https://disasterinfo.nlm.nih.gov/disaster-lit-about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/NLM_DIMRC","type":"Twitter"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-27","deprecation_reason":"This resource was discontinued in June 2021. Please see https://www.nlm.nih.gov/dimrc/disasterinfo.html for more information","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001441","bsg-d001441"],"name":"FAIRsharing record for: Disaster Lit","abbreviation":"Disaster Lit","url":"https://fairsharing.org/fairsharing_records/2937","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Disaster Lit: Database for Disaster Medicine and Public Health is the National Library of Medicine (NLM) database of links to disaster medicine and public health documents available on the Internet at no cost. Documents include expert guidelines, research reports, conference proceedings, training classes, fact sheets, websites, databases, and similar materials for a professional audience. NLM selects materials from over 1,400 non-commercial publishing sources and supplements disaster-related resources from PubMed (biomedical journal literature) and MedlinePlus (health information for the public).","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12353},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12900}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Virology","Biomedical Science","Epidemiology"],"domains":["Text mining"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NLM NIH Copyright","licence_id":593,"licence_url":"http://www.nlm.nih.gov/copyright.html","link_id":751,"relation":"undefined"}],"grants":[{"id":3785,"fairsharing_record_id":2937,"organisation_id":766,"relation":"maintains","created_at":"2021-09-30T09:26:26.412Z","updated_at":"2021-09-30T09:26:26.412Z","grant_id":null,"is_lead":false,"saved_state":{"id":766,"name":"Disaster Information Management Research Center (DIMRC), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2915","type":"fairsharing_records","attributes":{"created_at":"2020-03-17T14:36:37.000Z","updated_at":"2023-06-21T09:30:38.297Z","metadata":{"name":"PGG.SNV","status":"deprecated","contacts":[{"contact_name":"PGG.SNV Helpdesk","contact_email":"pggadmin@picb.ac.cn"}],"homepage":"https://www.pggsnv.org","citations":[{"doi":"10.1186/s13059-019-1838-5","pubmed_id":31640808,"publication_id":2820}],"identifier":2915,"description":"PGG.SNV is database for understanding the evolutionary and medical implications of human single nucleotide variation (SNV) on a population level. It documents more than 300,000 genomes and 10 billion allele frequencies records for diverse human ethnic groups.","abbreviation":"PGG.SNV","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.pggsnv.org/userguide.html","name":"User Guide","type":"Help documentation"},{"url":"https://www.pggsnv.org/statistics.html","name":"Statistics","type":"Help documentation"},{"url":"https://www.pggsnv.org/update.html","name":"News","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://www.pggsnv.org/tools.html","name":"Tool Listing"}],"deprecation_date":"2023-06-21","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001418","bsg-d001418"],"name":"FAIRsharing record for: PGG.SNV","abbreviation":"PGG.SNV","url":"https://fairsharing.org/fairsharing_records/2915","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PGG.SNV is database for understanding the evolutionary and medical implications of human single nucleotide variation (SNV) on a population level. It documents more than 300,000 genomes and 10 billion allele frequencies records for diverse human ethnic groups.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12881}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Population Genetics"],"domains":["Single nucleotide polymorphism","Sequence variant"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2820,"pubmed_id":31640808,"title":"PGG.SNV: understanding the evolutionary and medical implications of human single nucleotide variations in diverse populations.","year":2019,"url":"http://doi.org/10.1186/s13059-019-1838-5","authors":"Zhang C,Gao Y,Ning Z,Lu Y,Zhang X,Liu J,Xie B,Xue Z,Wang X,Yuan K,Ge X,Pan Y,Liu C,Tian L,Wang Y,Lu D,Hoh BP,Xu S","journal":"Genome Biol","doi":"10.1186/s13059-019-1838-5","created_at":"2021-09-30T08:27:46.797Z","updated_at":"2021-09-30T08:27:46.797Z"}],"licence_links":[],"grants":[{"id":3732,"fairsharing_record_id":2915,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:24.936Z","updated_at":"2021-09-30T09:26:24.936Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3731,"fairsharing_record_id":2915,"organisation_id":381,"relation":"maintains","created_at":"2021-09-30T09:26:24.910Z","updated_at":"2021-09-30T09:26:24.910Z","grant_id":null,"is_lead":true,"saved_state":{"id":381,"name":"CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2916","type":"fairsharing_records","attributes":{"created_at":"2020-04-02T11:08:25.000Z","updated_at":"2023-06-22T16:34:32.207Z","metadata":{"doi":"10.25504/FAIRsharing.ca4ce0","name":"The Global Health Observatory","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"gho_info@who.int","contact_orcid":null}],"homepage":"https://www.who.int/data/gho","citations":[],"identifier":2916,"description":"The GHO data repository is WHO's gateway to health-related statistics for its 194 Member States. It provides access to over 1000 indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.","abbreviation":"GHO","data_curation":{"type":"none"},"support_links":[{"url":"https://www.who.int/data/gho/info/contact-us","name":"Contact Us","type":"Contact form"},{"url":"https://www.who.int/data/gho/info/frequently-asked-questions","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"}],"data_versioning":"no","data_access_condition":{"url":"https://www.who.int/data/gho/info/about-the-observatory","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.who.int/data/gho/info/about-the-observatory","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001419","bsg-d001419"],"name":"FAIRsharing record for: The Global Health Observatory","abbreviation":"GHO","url":"https://fairsharing.org/10.25504/FAIRsharing.ca4ce0","doi":"10.25504/FAIRsharing.ca4ce0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GHO data repository is WHO's gateway to health-related statistics for its 194 Member States. It provides access to over 1000 indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12337},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12882},{"linking_record_name":"World Health Organization Data Collection","linking_record_id":4750,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16781}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Services Research","Public Health","Health Science","Global Health","Primary Health Care","Virology","Epidemiology","Medical Informatics"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":3733,"fairsharing_record_id":2916,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:26:24.960Z","updated_at":"2022-07-19T19:56:22.638Z","grant_id":null,"is_lead":true,"saved_state":{"id":3252,"name":"World Health Organization","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2917","type":"fairsharing_records","attributes":{"created_at":"2020-04-17T10:16:04.000Z","updated_at":"2023-12-15T10:29:07.935Z","metadata":{"doi":"10.25504/FAIRsharing.ec45c4","name":"Coronavirus Antiviral Research Database","status":"ready","contacts":[{"contact_name":"HIV Drug resistance Database team","contact_email":"hivdbteam@stanford.edu"}],"homepage":"https://covdb.stanford.edu/","citations":[],"identifier":2917,"description":"COVDB contains cell culture, animal model, and clinical data on compounds with a proven or potential anti-coronavirus activity.","abbreviation":"COVDB","data_curation":{"url":"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0261045","type":"manual/automated"},"support_links":[{"url":"https://github.com/hivdb/covid-drdb-payload/issues/new?assignees=KaimingTao%2C+philiptzou\u0026labels=bug\u0026template=data-error-report.md\u0026title=%5BBUG%5D","name":"Report a bug","type":"Contact form"}],"year_creation":2020,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013298","name":"re3data:r3d100013298","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://github.com/hivdb/covid-drdb-payload/issues/new?assignees=KaimingTao\u0026labels=enhancement\u0026template=suggest-new-study.md\u0026title=%5BNew%5D","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001420","bsg-d001420"],"name":"FAIRsharing record for: Coronavirus Antiviral Research Database","abbreviation":"COVDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ec45c4","doi":"10.25504/FAIRsharing.ec45c4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: COVDB contains cell culture, animal model, and clinical data on compounds with a proven or potential anti-coronavirus activity.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12338},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12883}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Clinical Studies","Virology"],"domains":["Animal research","Cell culture"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"COVDB Terms of Use","licence_id":153,"licence_url":"https://covdb.stanford.edu/terms-of-use/","link_id":1634,"relation":"undefined"}],"grants":[{"id":3734,"fairsharing_record_id":2917,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:26:24.986Z","updated_at":"2021-09-30T09:26:24.986Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2919","type":"fairsharing_records","attributes":{"created_at":"2020-03-18T13:34:03.000Z","updated_at":"2023-06-23T15:54:30.807Z","metadata":{"doi":"10.25504/FAIRsharing.18e4a6","name":"piRBase","status":"ready","contacts":[{"contact_name":"Shunmin He","contact_email":"heshunmin@ibp.ac.cn"}],"homepage":"http://bigdata.ibp.ac.cn/piRBase/","citations":[{"doi":"10.1093/nar/gky1043","pubmed_id":30371818,"publication_id":2536}],"identifier":2919,"description":"piRBase stores information on piRNAs and piRNA-associated data to support piRNA functional analysis.","abbreviation":"piRBase","data_curation":{"type":"manual","notes":"piRBase is a manually curated resource focused on assisting piRNA functionality analysis."},"support_links":[{"url":"crs@ibp.ac.cn","name":"Runsheng Chen","type":"Support email"},{"url":"http://bigdata.ibp.ac.cn/piRBase/about.php#piRBase","name":"piRBase introduction","type":"Help documentation"},{"url":"http://bigdata.ibp.ac.cn/piRBase/about.php#tutorial","name":"piRBase Tutorial","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://bigdata.ibp.ac.cn/piRBase/tools.php","name":"porBase Tools"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001422","bsg-d001422"],"name":"FAIRsharing record for: piRBase","abbreviation":"piRBase","url":"https://fairsharing.org/10.25504/FAIRsharing.18e4a6","doi":"10.25504/FAIRsharing.18e4a6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: piRBase stores information on piRNAs and piRNA-associated data to support piRNA functional analysis.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics"],"domains":["Function analysis","Non-coding RNA"],"taxonomies":["Bombyx mori","Bos taurus","Caenorhabditis elegans","Callithrix jacchus","Danio rerio","Drosophila erecta","Drosophila melanogaster","Drosophila virilis","Drosophila yakuba","Gallus gallus","Homo sapiens","Macaca fascicularis","Macaca mulatta","Mus musculus","Nematostella vectensis","Oryctolagus cuniculus","Rattus norvegicus","Tupaia belangeri","Xenopus tropicalis"],"user_defined_tags":["Piwi-interacting RNA (piRNA)"],"countries":["China"],"publications":[{"id":2536,"pubmed_id":30371818,"title":"piRBase: a comprehensive database of piRNA sequences.","year":2018,"url":"http://doi.org/10.1093/nar/gky1043","authors":"Wang J,Zhang P,Lu Y,Li Y,Zheng Y,Kan Y,Chen R,He S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1043","created_at":"2021-09-30T08:27:11.073Z","updated_at":"2021-09-30T11:29:38.987Z"}],"licence_links":[],"grants":[{"id":3738,"fairsharing_record_id":2919,"organisation_id":1633,"relation":"maintains","created_at":"2021-09-30T09:26:25.116Z","updated_at":"2021-09-30T09:26:25.116Z","grant_id":null,"is_lead":true,"saved_state":{"id":1633,"name":"Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3737,"fairsharing_record_id":2919,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:25.075Z","updated_at":"2021-09-30T09:26:25.075Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2920","type":"fairsharing_records","attributes":{"created_at":"2020-03-19T09:19:33.000Z","updated_at":"2023-12-15T10:32:11.501Z","metadata":{"name":"Sorghum Genome SNP Database","status":"uncertain","contacts":[{"contact_name":"SorGSD General Contact","contact_email":"sorgsd@big.ac.cn"}],"homepage":"http://sorgsd.big.ac.cn/","citations":[{"doi":"10.1186/s13068-015-0415-8","pubmed_id":26744602,"publication_id":2823}],"identifier":2920,"description":"The Sorghum Genome SNP Database (SorGSD) is a genome variation database for sorghum. Please note that this resource has not been updated since 2015, and therefore we have marked its status as Uncertain. Please contact us if you have information on its current status.","abbreviation":"SorGSD","data_curation":{"type":"not found"},"support_links":[{"url":"http://sorgsd.big.ac.cn/pages/help/faqs.jsp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://sorgsd.big.ac.cn/pages/about/resources.jsp","name":"Resources Used","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/about.jsp","name":"Overview of SorGSD","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/data_sources.jsp","name":"Pipeline Documentation","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/data_statistics.jsp","name":"Statistics","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/contact.jsp","name":"Contact Information","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/about/SorghumGenome.jsp","name":"About Sorghum","type":"Help documentation"},{"url":"http://sorgsd.big.ac.cn/pages/help/howtos.jsp","name":"How-To Examples","type":"Training documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://sorgsd.big.ac.cn/pages/search/compare_snp.jsp","name":"Comparison Tool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001423","bsg-d001423"],"name":"FAIRsharing record for: Sorghum Genome SNP Database","abbreviation":"SorGSD","url":"https://fairsharing.org/fairsharing_records/2920","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Sorghum Genome SNP Database (SorGSD) is a genome variation database for sorghum. Please note that this resource has not been updated since 2015, and therefore we have marked its status as Uncertain. Please contact us if you have information on its current status.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Genomics","Agriculture","Plant Genetics"],"domains":["Single nucleotide polymorphism"],"taxonomies":["Sorghum bicolor"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2822,"pubmed_id":26884811,"title":"Erratum to: SorGSD: a sorghum genome SNP database.","year":2016,"url":"http://doi.org/10.1186/s13068-016-0450-0","authors":"Luo H,Zhao W,Wang Y,Xia Y,Wu X,Zhang L,Tang B,Zhu J,Fang L,Du Z,Bekele WA,Tai S,Jordan DR,Godwin ID,Snowdon RJ,Mace ES,Luo J,Jing HC","journal":"Biotechnol Biofuels","doi":"10.1186/s13068-016-0450-0","created_at":"2021-09-30T08:27:47.080Z","updated_at":"2021-09-30T08:27:47.080Z"},{"id":2823,"pubmed_id":26744602,"title":"SorGSD: a sorghum genome SNP database.","year":2016,"url":"http://doi.org/10.1186/s13068-015-0415-8","authors":"Luo H,Zhao W,Wang Y,Xia Y,Wu X,Zhang L,Tang B,Zhu J,Fang L,Du Z,Bekele WA,Tai S,Jordan DR,Godwin ID,Snowdon RJ,Mace ES,Jing HC,Luo J","journal":"Biotechnol Biofuels","doi":"10.1186/s13068-015-0415-8","created_at":"2021-09-30T08:27:47.189Z","updated_at":"2021-09-30T08:27:47.189Z"}],"licence_links":[],"grants":[{"id":3741,"fairsharing_record_id":2920,"organisation_id":404,"relation":"maintains","created_at":"2021-09-30T09:26:25.229Z","updated_at":"2021-09-30T09:26:25.229Z","grant_id":null,"is_lead":false,"saved_state":{"id":404,"name":"Center for Bioinformatics (CBI), Peking University, Beijing, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3739,"fairsharing_record_id":2920,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:25.158Z","updated_at":"2021-09-30T09:26:25.158Z","grant_id":null,"is_lead":false,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3740,"fairsharing_record_id":2920,"organisation_id":1409,"relation":"maintains","created_at":"2021-09-30T09:26:25.196Z","updated_at":"2021-09-30T09:26:25.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":1409,"name":"Institute of Botany, Chinese Academy of Sciences (CAS), Beijing, China","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2921","type":"fairsharing_records","attributes":{"created_at":"2020-03-19T10:00:33.000Z","updated_at":"2022-07-20T10:51:24.962Z","metadata":{"name":"WikiCell","status":"deprecated","contacts":[{"contact_name":"WikiCell General Contact","contact_email":"wikicell@big.ac.cn"}],"homepage":"http://wikicell.big.ac.cn/index.php/Human","citations":[{"doi":"10.1089/omi.2011.0139","pubmed_id":22702248,"publication_id":2537}],"identifier":2921,"description":"WikiCell provides a wiki interface to information about the human transcriptome and stores information on Expressed Sequenced Tags (ESTs). Users can access, curate, and submit database data as well as browse, query, and up- and download sequences. Gene information is provided, including housekeeping genes, taxonomy location, and gene ontology (GO) description.","abbreviation":"WikiCell","data_curation":{"type":"not found"},"support_links":[{"url":"http://wikicell.big.ac.cn/index.php/Help:Contents","name":"Help Pages","type":"Help documentation"},{"url":"http://wikicell.big.ac.cn/index.php/Documents-url","name":"About","type":"Help documentation"},{"url":"http://wikicell.big.ac.cn/index.php/Special:Statistics","name":"Statistics","type":"Help documentation"}],"year_creation":2012,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001424","bsg-d001424"],"name":"FAIRsharing record for: WikiCell","abbreviation":"WikiCell","url":"https://fairsharing.org/fairsharing_records/2921","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WikiCell provides a wiki interface to information about the human transcriptome and stores information on Expressed Sequenced Tags (ESTs). Users can access, curate, and submit database data as well as browse, query, and up- and download sequences. Gene information is provided, including housekeeping genes, taxonomy location, and gene ontology (GO) description.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12885}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Transcriptomics"],"domains":["Expression data"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2537,"pubmed_id":22702248,"title":"WikiCell: a unified resource platform for human transcriptomics research.","year":2012,"url":"http://doi.org/10.1089/omi.2011.0139","authors":"Zhao D,Wu J,Zhou Y,Gong W,Xiao J,Yu J","journal":"OMICS","doi":"10.1089/omi.2011.0139","created_at":"2021-09-30T08:27:11.183Z","updated_at":"2021-09-30T08:27:11.183Z"}],"licence_links":[{"licence_name":"GNU Free Documentation License 1.2","licence_id":354,"licence_url":"https://www.gnu.org/licenses/old-licenses/fdl-1.2.en.html","link_id":1858,"relation":"undefined"}],"grants":[{"id":3742,"fairsharing_record_id":2921,"organisation_id":1991,"relation":"maintains","created_at":"2021-09-30T09:26:25.263Z","updated_at":"2021-09-30T09:26:25.263Z","grant_id":null,"is_lead":true,"saved_state":{"id":1991,"name":"National Genomics Data Center (BIG Data Center), Beijing Institute of Genomics, Chinese Academy of Sciences, Bejing, China","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2929","type":"fairsharing_records","attributes":{"created_at":"2020-05-02T13:14:23.000Z","updated_at":"2023-12-15T10:27:17.806Z","metadata":{"doi":"10.25504/FAIRsharing.JGEjCW","name":"The Tromsø Repository of Language and Linguistics","status":"ready","contacts":[{"contact_name":"UiT Research Data Support","contact_email":"researchdata@hjelp.uit.no"}],"homepage":"https://trolling.uit.no/","citations":[],"identifier":2929,"description":"The Tromsø Repository of Language and Linguistics (TROLLing) is a repository of data, code, and other related materials used in linguistic research. The repository is open access, which means that all information is available to everyone. All postings are accompanied by searchable metadata that identify the researchers, the languages and linguistic phenomena involved, the statistical methods applied, and scholarly publications based on the data (where relevant). DataverseNO is aligned with the FAIR Guiding Principles for scientific data management and stewardship. Being part of DataverseNO, TROLLing is CoreTrustSeal certified.","abbreviation":"TROLLing","data_curation":{"url":"https://site.uit.no/dataverseno/about/#data-curation-and-preservation","type":"manual"},"support_links":[{"url":"https://info.trolling.uit.no/","name":"The TROLLing Blog","type":"Blog/News"},{"url":"researchdata@hjelp.uit.no","name":"Support","type":"Support email"},{"url":"https://site.uit.no/trolling/getting-started/how-to-archive/","name":"How to archive your data in TROLLing","type":"Help documentation"},{"url":"https://site.uit.no/dataverseno/deposit/prepare/","name":"How to prepare your data for archiving in TROLLing","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011623","name":"re3data:r3d100011623","portal":"re3data"}],"data_access_condition":{"url":"https://site.uit.no/dataverseno/about/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://site.uit.no/dataverseno/about/policy-framework/preservation-policy/","name":"Preservation Policy"},"data_deposition_condition":{"url":"https://site.uit.no/dataverseno/deposit/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001432","bsg-d001432"],"name":"FAIRsharing record for: The Tromsø Repository of Language and Linguistics","abbreviation":"TROLLing","url":"https://fairsharing.org/10.25504/FAIRsharing.JGEjCW","doi":"10.25504/FAIRsharing.JGEjCW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Tromsø Repository of Language and Linguistics (TROLLing) is a repository of data, code, and other related materials used in linguistic research. The repository is open access, which means that all information is available to everyone. All postings are accompanied by searchable metadata that identify the researchers, the languages and linguistic phenomena involved, the statistical methods applied, and scholarly publications based on the data (where relevant). DataverseNO is aligned with the FAIR Guiding Principles for scientific data management and stewardship. Being part of DataverseNO, TROLLing is CoreTrustSeal certified.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Classical Philology","Applied Linguistics","Linguistics","Historical Linguistics"],"domains":["Language disorder","Natural language processing","Curated information","Digital curation","Data storage"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Language","Open Science","Researcher data"],"countries":["Norway"],"publications":[{"id":2918,"pubmed_id":null,"title":"Disciplinary Case Study: The Tromsø Repository of Language and Linguistics (TROLLing)","year":2019,"url":"https://doi.org/10.5281/zenodo.2668775","authors":"Philipp Conzett","journal":"Association of European Research Libraries","doi":null,"created_at":"2021-09-30T08:27:59.340Z","updated_at":"2021-09-30T08:27:59.340Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":762,"relation":"undefined"},{"licence_name":"DataverseNO Access and Use Policy","licence_id":227,"licence_url":"https://site.uit.no/dataverseno/about/policy-framework/access-and-use-policy/","link_id":3002,"relation":"applies_to_content"}],"grants":[{"id":3768,"fairsharing_record_id":2929,"organisation_id":2891,"relation":"funds","created_at":"2021-09-30T09:26:25.968Z","updated_at":"2021-09-30T09:26:25.968Z","grant_id":null,"is_lead":false,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3766,"fairsharing_record_id":2929,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:26:25.920Z","updated_at":"2021-09-30T09:29:01.525Z","grant_id":60,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"295700","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3767,"fairsharing_record_id":2929,"organisation_id":2891,"relation":"maintains","created_at":"2021-09-30T09:26:25.944Z","updated_at":"2021-09-30T09:26:25.944Z","grant_id":null,"is_lead":true,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3769,"fairsharing_record_id":2929,"organisation_id":566,"relation":"undefined","created_at":"2021-09-30T09:26:25.994Z","updated_at":"2021-09-30T09:26:25.994Z","grant_id":null,"is_lead":false,"saved_state":{"id":566,"name":"Common Language Resources and Technology Infrastructure (CLARIN) European Research Infrastructure Consortium (ERIC), Utrecht University, The Netherlands","types":["Consortium"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaDhDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4e36e9d8bd4216fda7838d453c4879c4c5a9a971/ny_trolling_banner_DvNO-format.png?disposition=inline","exhaustive_licences":false}},{"id":"2931","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T14:28:24.000Z","updated_at":"2023-06-23T11:28:38.898Z","metadata":{"doi":"10.25504/FAIRsharing.802961","name":"UMIN Clinical Trials Registry","status":"ready","homepage":"https://www.umin.ac.jp/ctr/index.htm","identifier":2931,"description":"UMIN-CTR is a Clinical Trials Registry hosted by the japanese University Hospital Medical Information Network (UMIN). UMIN-CTR has been recognized by the ICMJE as an \"acceptable registry\". At a minimum, a paper should be received for consideration by an ICMJE-affiliated journal, if the corresponding trial is registered by the appropriate deadline with UMIN-CTR. The WHO is developing the International Clinical Trials Registry Platform (ICTRP) project in order to collect various clinical trial registry systems throughout the world under fixed standards as \"member registries\" and \"associate registries. \"","abbreviation":"UMIN-CTR","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.umin.ac.jp/ctr/UMIN-CTR_e_FAQ.htm","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.umin.ac.jp/ctr/UMIN-CTR_ManagementEng.htm","name":"Registry Management","type":"Help documentation"}],"year_creation":1989,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012003","name":"re3data:r3d100012003","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.umin.ac.jp/ctr/manual/ctr_manual_EVer.html","type":"controlled","notes":"A UMIN ID and password are required to register clinical trials. Only medical professionals and students whose country does NOT belong to the European Union are allowed to apply for UMIN."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001434","bsg-d001434"],"name":"FAIRsharing record for: UMIN Clinical Trials Registry","abbreviation":"UMIN-CTR","url":"https://fairsharing.org/10.25504/FAIRsharing.802961","doi":"10.25504/FAIRsharing.802961","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UMIN-CTR is a Clinical Trials Registry hosted by the japanese University Hospital Medical Information Network (UMIN). UMIN-CTR has been recognized by the ICMJE as an \"acceptable registry\". At a minimum, a paper should be received for consideration by an ICMJE-affiliated journal, if the corresponding trial is registered by the appropriate deadline with UMIN-CTR. The WHO is developing the International Clinical Trials Registry Platform (ICTRP) project in order to collect various clinical trial registry systems throughout the world under fixed standards as \"member registries\" and \"associate registries. \"","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12347},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12894}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Epidemiology","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[{"id":3774,"fairsharing_record_id":2931,"organisation_id":3002,"relation":"maintains","created_at":"2021-09-30T09:26:26.129Z","updated_at":"2021-09-30T09:26:26.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":3002,"name":"University Hospital Medical Information Network","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3772,"fairsharing_record_id":2931,"organisation_id":3252,"relation":"undefined","created_at":"2021-09-30T09:26:26.077Z","updated_at":"2021-09-30T09:26:26.077Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":3773,"fairsharing_record_id":2931,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:26:26.103Z","updated_at":"2021-09-30T09:26:26.103Z","grant_id":null,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2932","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T14:51:44.000Z","updated_at":"2023-11-29T11:32:04.888Z","metadata":{"doi":"10.25504/FAIRsharing.17b1e4","name":"Dutch Trial Register","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"ltr@ccmo.nl","contact_orcid":null}],"homepage":"https://onderzoekmetmensen.nl/","citations":[],"identifier":2932,"description":"The Dutch Trial Register (LTR) is a register in which a part of the clinical studies in The Netherlands are registered. This currently includes all data from the former National Trial Register (NTR). Former NTR data have been added unaltered. Data owners may update their data via this site. In addition to studies from the former NTR, the Dutch Trial Register will eventually replace ToetsingOnline, when studies from CTIS and Eudamed will be added to the register. In the long run it will also be possible to register new studies in the Dutch Trial Register, however at the moment new studies should be registered in any WHO-approved registry such as ClinicalTrials.gov. This will include both WMO as well as non-WMO studies.","abbreviation":"LTR","data_curation":{"type":"not found"},"support_links":[],"year_creation":2022,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013311","name":"re3data:r3d100013311","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010234","name":"SciCrunch:RRID:SCR_010234","portal":"SciCrunch"}],"data_access_condition":{"type":"open","notes":"Note that as a registry of clinical trials, the metadata about those trials is openly available, however this does not necessarily cover the study data itself."},"resource_sustainability":{"name":"No sustainability information found."},"data_contact_information":"yes","data_preservation_policy":{"name":"No data preservation policy found."},"data_deposition_condition":{"url":"https://onderzoekmetmensen.nl/en/professionals","type":"controlled","notes":"For the registration of new studies you may choose one of the WHO-approved registries, for example ClinicalTrials.gov. In the long run it will also be possible to register new studies in the Dutch Trial Register, but this is not currently possible.. "},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001435","bsg-d001435"],"name":"FAIRsharing record for: Dutch Trial Register","abbreviation":"LTR","url":"https://fairsharing.org/10.25504/FAIRsharing.17b1e4","doi":"10.25504/FAIRsharing.17b1e4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Dutch Trial Register (LTR) is a register in which a part of the clinical studies in The Netherlands are registered. This currently includes all data from the former National Trial Register (NTR). Former NTR data have been added unaltered. Data owners may update their data via this site. In addition to studies from the former NTR, the Dutch Trial Register will eventually replace ToetsingOnline, when studies from CTIS and Eudamed will be added to the register. In the long run it will also be possible to register new studies in the Dutch Trial Register, however at the moment new studies should be registered in any WHO-approved registry such as ClinicalTrials.gov. This will include both WMO as well as non-WMO studies.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12348},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12895}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Epidemiology","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3416,"relation":"applies_to_content"}],"grants":[{"id":11112,"fairsharing_record_id":2932,"organisation_id":4178,"relation":"maintains","created_at":"2023-11-28T13:01:32.700Z","updated_at":"2023-11-28T13:01:32.700Z","grant_id":null,"is_lead":true,"saved_state":{"id":4178,"name":" Central Committee on Research Involving Human Subjects (CCMO)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"2924","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T08:01:27.000Z","updated_at":"2024-05-02T14:10:07.627Z","metadata":{"doi":"10.25504/FAIRsharing.a01ca1","name":"LitCovid","status":"ready","contacts":[{"contact_name":"Zhiyong Lu","contact_email":"Zhiyong.Lu@nih.gov"}],"homepage":"https://www.ncbi.nlm.nih.gov/research/coronavirus/","citations":[{"doi":"10.1093/nar/gkaa952","pubmed_id":33166392,"publication_id":4241}],"identifier":2924,"description":"LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 5645 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access.","abbreviation":"LitCovid","data_curation":{"url":"https://www.ncbi.nlm.nih.gov/research/coronavirus/faq","type":"manual/automated","notes":"Advanced machine-learning methods (LitSuggest) have been developed to assist human curation and is assisted by MeSH ontology curation."},"year_creation":2020,"data_versioning":"not found","data_access_condition":{"type":"open","notes":"https://www.ncbi.nlm.nih.gov/research/coronavirus/#data-download"},"resource_sustainability":{"name":"not found"},"data_contact_information":"no","data_preservation_policy":{"name":"not found"},"data_deposition_condition":{"url":"https://www.ncbi.nlm.nih.gov/research/coronavirus/faq","type":"not applicable","notes":"Publications specific to COVID-19 and does NOT include pre-prints. LitCovid only includes relevant articles from PubMed."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001427","bsg-d001427"],"name":"FAIRsharing record for: LitCovid","abbreviation":"LitCovid","url":"https://fairsharing.org/10.25504/FAIRsharing.a01ca1","doi":"10.25504/FAIRsharing.a01ca1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: LitCovid is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus. It is the most comprehensive resource on the subject, providing a central access to 5645 (and growing) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics and geographic locations for improved access.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12341},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12888}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Life Science","Biomedical Science","Epidemiology"],"domains":["Text mining","Journal article","Curated information","Literature curation","Biocuration"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":958,"pubmed_id":32157233,"title":"Keep up with the latest coronavirus research.","year":2020,"url":"http://doi.org/10.1038/d41586-020-00694-1","authors":"Chen Q,Allot A,Lu Z","journal":"Nature","doi":"10.1038/d41586-020-00694-1","created_at":"2021-09-30T08:24:06.026Z","updated_at":"2021-09-30T08:24:06.026Z"},{"id":4241,"pubmed_id":33166392,"title":"LitCovid: an open database of COVID-19 literature","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa952","authors":"Chen, Qingyu; Allot, Alexis; Lu, Zhiyong; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa952","created_at":"2024-04-07T18:54:00.001Z","updated_at":"2024-04-07T18:54:00.001Z"},{"id":4242,"pubmed_id":36350613,"title":"LitCovid in 2022: an information resource for the COVID-19 literature","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1005","authors":"Chen, Qingyu; Allot, Alexis; Leaman, Robert; Wei, Chih-Hsuan; Aghaarabi, Elaheh; Guerrerio, John J; Xu, Lilly; Lu, Zhiyong; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1005","created_at":"2024-04-07T18:58:50.286Z","updated_at":"2024-04-07T18:58:50.286Z"}],"licence_links":[{"licence_name":"NCBI Website and Data Usage Policies and Disclaimers","licence_id":558,"licence_url":"https://www.ncbi.nlm.nih.gov/home/about/policies/","link_id":645,"relation":"undefined"}],"grants":[{"id":3747,"fairsharing_record_id":2924,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:26:25.402Z","updated_at":"2021-09-30T09:26:25.402Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3746,"fairsharing_record_id":2924,"organisation_id":2105,"relation":"maintains","created_at":"2021-09-30T09:26:25.378Z","updated_at":"2021-09-30T09:26:25.378Z","grant_id":null,"is_lead":false,"saved_state":{"id":2105,"name":"NCBI Computational Biology Branch, Bethesda, MD, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3748,"fairsharing_record_id":2924,"organisation_id":3160,"relation":"funds","created_at":"2021-09-30T09:26:25.428Z","updated_at":"2021-09-30T09:26:25.428Z","grant_id":null,"is_lead":false,"saved_state":{"id":3160,"name":"USA.gov","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3749,"fairsharing_record_id":2924,"organisation_id":2171,"relation":"maintains","created_at":"2021-09-30T09:26:25.452Z","updated_at":"2021-09-30T09:26:25.452Z","grant_id":null,"is_lead":false,"saved_state":{"id":2171,"name":"NLM/NCBI BioNLP Research Group, Bethesda, MD, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2925","type":"fairsharing_records","attributes":{"created_at":"2020-03-30T21:47:38.000Z","updated_at":"2023-12-15T10:29:13.087Z","metadata":{"doi":"10.25504/FAIRsharing.2f7f9f","name":"Global Initiative on Sharing Avian Influenza Data","status":"ready","contacts":[],"homepage":"https://www.gisaid.org/","citations":[],"identifier":2925,"description":"The GISAID Initiative promotes the international sharing of all influenza virus sequences, related clinical and epidemiological data associated with human viruses, and geographical as well as species-specific data associated with avian and other animal viruses, to help researchers understand how the viruses evolve, spread and potentially become pandemics.","abbreviation":"GISAID","data_curation":{"url":"https://gisaid.org/resources/statements-clarifications/routine-updates-and-quality-control-of-gisaid-data/","type":"manual/automated"},"support_links":[{"url":"https://www.gisaid.org/help/contact/","name":"Contact Form","type":"Contact form"},{"url":"https://www.gisaid.org/help/faq/","name":"FAQs","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2008,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010126","name":"re3data:r3d100010126","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_018279","name":"SciCrunch:RRID:SCR_018279","portal":"SciCrunch"}],"data_access_condition":{"url":"https://gisaid.org/terms-of-use/","type":"partially open"},"resource_sustainability":{"url":"https://gisaid.org/about-us/public-private-partnerships/","name":"More information"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gisaid.org/resources/statements-clarifications/routine-updates-and-quality-control-of-gisaid-data/","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001428","bsg-d001428"],"name":"FAIRsharing record for: Global Initiative on Sharing Avian Influenza Data","abbreviation":"GISAID","url":"https://fairsharing.org/10.25504/FAIRsharing.2f7f9f","doi":"10.25504/FAIRsharing.2f7f9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GISAID Initiative promotes the international sharing of all influenza virus sequences, related clinical and epidemiological data associated with human viruses, and geographical as well as species-specific data associated with avian and other animal viruses, to help researchers understand how the viruses evolve, spread and potentially become pandemics.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12342},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12889}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Epidemiology"],"domains":["DNA sequence data","Protein sequence identification","Patient care","Sequence"],"taxonomies":["Influenza virus","Viruses"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":2615,"pubmed_id":null,"title":"Competition in biology: It's a scoop!","year":2003,"url":"https://doi.org/10.1038/news031124-9","authors":"Pearson H.","journal":"Nature","doi":null,"created_at":"2021-09-30T08:27:21.030Z","updated_at":"2021-09-30T08:27:21.030Z"}],"licence_links":[{"licence_name":"GISAID Terms of Use","licence_id":346,"licence_url":"https://www.gisaid.org/registration/terms-of-use/","link_id":1862,"relation":"undefined"}],"grants":[{"id":3750,"fairsharing_record_id":2925,"organisation_id":124,"relation":"funds","created_at":"2021-09-30T09:26:25.478Z","updated_at":"2021-09-30T09:26:25.478Z","grant_id":null,"is_lead":false,"saved_state":{"id":124,"name":"Association of Public Health Laboratories (APHL)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3752,"fairsharing_record_id":2925,"organisation_id":2353,"relation":"funds","created_at":"2021-09-30T09:26:25.528Z","updated_at":"2021-09-30T09:30:22.681Z","grant_id":683,"is_lead":false,"saved_state":{"id":2353,"name":"PREDEMICS (European Commission 2014-2017)","grant":"278433","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3751,"fairsharing_record_id":2925,"organisation_id":2944,"relation":"funds","created_at":"2021-09-30T09:26:25.502Z","updated_at":"2021-09-30T09:26:25.502Z","grant_id":null,"is_lead":false,"saved_state":{"id":2944,"name":"United States Department of Health and Human Services","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3753,"fairsharing_record_id":2925,"organisation_id":1780,"relation":"funds","created_at":"2021-09-30T09:26:25.552Z","updated_at":"2021-09-30T09:30:58.066Z","grant_id":957,"is_lead":false,"saved_state":{"id":1780,"name":"Max-Planck-Gesellschaft (MPG), Germany","grant":"8286670","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9420,"fairsharing_record_id":2925,"organisation_id":2635,"relation":"funds","created_at":"2022-04-11T12:07:37.099Z","updated_at":"2022-04-11T12:07:37.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation SERI","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2926","type":"fairsharing_records","attributes":{"created_at":"2020-04-22T13:15:56.000Z","updated_at":"2023-01-17T08:42:53.035Z","metadata":{"name":"COVID-19 Research Collaborations","status":"deprecated","contacts":[],"homepage":"https://covid19.elsevierpure.com/","citations":[],"identifier":2926,"description":"The COVID-19 Research Collaborations database stores information on researchers and institutions for the purposes of identifying potential research experts or collaborators in areas related to the coronavirus epidemic across basic science, translational research, or clinical practice.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.elsevier.com/__data/assets/pdf_file/0013/998869/COVID-ElsevierPure.pdf","name":"About (PDF)","type":"Help documentation"}],"year_creation":2020,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013300","name":"re3data:r3d100013300","portal":"re3data"}],"deprecation_date":"2023-01-16","deprecation_reason":"The website is no longer available","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001429","bsg-d001429"],"name":"FAIRsharing record for: COVID-19 Research Collaborations","abbreviation":null,"url":"https://fairsharing.org/fairsharing_records/2926","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The COVID-19 Research Collaborations database stores information on researchers and institutions for the purposes of identifying potential research experts or collaborators in areas related to the coronavirus epidemic across basic science, translational research, or clinical practice.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12343},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12890}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Biomedical Science","Translational Medicine","Epidemiology"],"domains":["Text mining","Natural language processing","Journal article"],"taxonomies":["Coronaviridae"],"user_defined_tags":["COVID-19"],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":3755,"fairsharing_record_id":2926,"organisation_id":850,"relation":"maintains","created_at":"2021-09-30T09:26:25.625Z","updated_at":"2021-09-30T09:26:25.625Z","grant_id":null,"is_lead":true,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2927","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T14:34:24.000Z","updated_at":"2023-12-15T10:31:30.966Z","metadata":{"doi":"10.25504/FAIRsharing.7f07dd","name":"Australian New Zealand Clinical Trials Registry","status":"ready","contacts":[],"homepage":"http://www.anzctr.org.au/","citations":[],"identifier":2927,"description":"The Australian New Zealand Clinical Trials Registry (ANZCTR) is an online register of clinical trials being undertaken in Australia, New Zealand and elsewhere. The ANZCTR includes trials from the full spectrum of therapeutic areas of pharmaceuticals, surgical procedures, preventive measures, lifestyle, devices, treatment and rehabilitation strategies and complementary therapies. The ANZCTR mandatory data items comply with the minimum dataset requirements of the International Committee of Medical Journal Editors (ICMJE) and the World Health Organization (WHO).","abbreviation":"ANZCTR","data_curation":{"url":"https://www.anzctr.org.au/support/HowToAdd.aspx","type":"manual","notes":"User submission will be checked by ANZCTR staff."},"support_links":[{"url":"http://www.anzctr.org.au/Faq.aspx","name":"FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.anzctr.org.au/HowToSearch.aspx","name":"How to search","type":"Help documentation"},{"url":"https://www.anzctr.org.au/News.aspx","type":"Blog/News"},{"url":"info@anzctr.org.au","name":"General contact","type":"Support email"},{"url":"https://www.anzctr.org.au/ContactUs.aspx","name":"Technical support","type":"Contact form"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011164","name":"re3data:r3d100011164","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.anzctr.org.au/support/HowToAdd.aspx","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001430","bsg-d001430"],"name":"FAIRsharing record for: Australian New Zealand Clinical Trials Registry","abbreviation":"ANZCTR","url":"https://fairsharing.org/10.25504/FAIRsharing.7f07dd","doi":"10.25504/FAIRsharing.7f07dd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Australian New Zealand Clinical Trials Registry (ANZCTR) is an online register of clinical trials being undertaken in Australia, New Zealand and elsewhere. The ANZCTR includes trials from the full spectrum of therapeutic areas of pharmaceuticals, surgical procedures, preventive measures, lifestyle, devices, treatment and rehabilitation strategies and complementary therapies. The ANZCTR mandatory data items comply with the minimum dataset requirements of the International Committee of Medical Journal Editors (ICMJE) and the World Health Organization (WHO).","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12344},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12891}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Public Health","Health Science","Virology","Biomedical Science","Epidemiology","Preclinical Studies","Medical Informatics"],"domains":["Electronic health record"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia","New Zealand"],"publications":[],"licence_links":[{"licence_name":"ANZCTR Terms and Conditions","licence_id":34,"licence_url":"http://www.anzctr.org.au/Support/Terms.aspx","link_id":1153,"relation":"undefined"}],"grants":[{"id":3758,"fairsharing_record_id":2927,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:26:25.719Z","updated_at":"2021-09-30T09:26:25.719Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3756,"fairsharing_record_id":2927,"organisation_id":140,"relation":"funds","created_at":"2021-09-30T09:26:25.664Z","updated_at":"2021-09-30T09:26:25.664Z","grant_id":null,"is_lead":false,"saved_state":{"id":140,"name":"Australian Government - department of Health","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3759,"fairsharing_record_id":2927,"organisation_id":1224,"relation":"funds","created_at":"2021-09-30T09:26:25.744Z","updated_at":"2021-09-30T09:26:25.744Z","grant_id":null,"is_lead":false,"saved_state":{"id":1224,"name":"Health Research Council of New Zealand","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11058,"fairsharing_record_id":2927,"organisation_id":4164,"relation":"maintains","created_at":"2023-10-27T11:02:05.951Z","updated_at":"2023-10-27T11:02:05.951Z","grant_id":null,"is_lead":true,"saved_state":{"id":4164,"name":"NHMRC Clinical Trials Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3757,"fairsharing_record_id":2927,"organisation_id":2821,"relation":"funds","created_at":"2021-09-30T09:26:25.695Z","updated_at":"2021-09-30T09:26:25.695Z","grant_id":null,"is_lead":false,"saved_state":{"id":2821,"name":"Therapeutic innovation Australia","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2928","type":"fairsharing_records","attributes":{"created_at":"2020-04-03T15:31:55.000Z","updated_at":"2023-12-15T10:28:35.961Z","metadata":{"doi":"10.25504/FAIRsharing.01d14a","name":"International Traditional Medicine Clinical Trial Registry","status":"ready","contacts":[],"homepage":"http://www.isrctn.com/","citations":[],"identifier":2928,"description":"The ISRCTN registry is a primary clinical trial registry recognised by WHO and ICMJE that accepts all clinical research studies (whether proposed, ongoing or completed), providing content validation and curation and the unique identification number necessary for publication. All study records in the database are freely accessible and searchable.","abbreviation":"ISRCTN Registry","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.isrctn.com/page/faqs","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.isrctn.com/page/search-tips","name":"Search tips","type":"Help documentation"},{"url":"http://www.isrctn.com/page/about","name":"About page","type":"Help documentation"},{"url":"https://twitter.com/ISRCTN","name":"@ISRCTN","type":"Twitter"}],"year_creation":2000,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013307","name":"re3data:r3d100013307","portal":"re3data"}],"data_access_condition":{"url":"https://www.isrctn.com/page/faqs","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.isrctn.com/page/faqs","type":"controlled","notes":"fee to submit data"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001431","bsg-d001431"],"name":"FAIRsharing record for: International Traditional Medicine Clinical Trial Registry","abbreviation":"ISRCTN Registry","url":"https://fairsharing.org/10.25504/FAIRsharing.01d14a","doi":"10.25504/FAIRsharing.01d14a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ISRCTN registry is a primary clinical trial registry recognised by WHO and ICMJE that accepts all clinical research studies (whether proposed, ongoing or completed), providing content validation and curation and the unique identification number necessary for publication. All study records in the database are freely accessible and searchable.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17397},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12345},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12892}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Biomedical Science","Epidemiology","Preclinical Studies"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":3761,"fairsharing_record_id":2928,"organisation_id":1562,"relation":"maintains","created_at":"2021-09-30T09:26:25.794Z","updated_at":"2022-07-19T20:05:37.792Z","grant_id":null,"is_lead":true,"saved_state":{"id":1562,"name":"ISRCTN","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3764,"fairsharing_record_id":2928,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:26:25.870Z","updated_at":"2021-09-30T09:26:25.870Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3765,"fairsharing_record_id":2928,"organisation_id":717,"relation":"funds","created_at":"2021-09-30T09:26:25.894Z","updated_at":"2021-09-30T09:26:25.894Z","grant_id":null,"is_lead":false,"saved_state":{"id":717,"name":"Department of Health, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3763,"fairsharing_record_id":2928,"organisation_id":2616,"relation":"maintains","created_at":"2021-09-30T09:26:25.844Z","updated_at":"2021-09-30T09:26:25.844Z","grant_id":null,"is_lead":false,"saved_state":{"id":2616,"name":"Springer Nature","types":["Publisher"],"is_lead":false,"relation":"maintains"}},{"id":3760,"fairsharing_record_id":2928,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:26:25.770Z","updated_at":"2021-09-30T09:26:25.770Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3762,"fairsharing_record_id":2928,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:25.820Z","updated_at":"2021-09-30T09:26:25.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa3dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--2170c0e351110bd0ccb08940d3392d61e7a11c8c/reg.png?disposition=inline","exhaustive_licences":false}},{"id":"2933","type":"fairsharing_records","attributes":{"created_at":"2020-04-06T15:14:50.000Z","updated_at":"2023-12-15T10:32:35.042Z","metadata":{"doi":"10.25504/FAIRsharing.329809","name":"Database of publications on coronavirus disease (COVID-19)","status":"ready","contacts":[],"homepage":"https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov","citations":[],"identifier":2933,"description":"The WHO is gathering the latest scientific findings and knowledge on coronavirus disease (COVID-19) and compiling it in a database. The database is updated daily from searches of bibliographic databases, manual searches of the table of contents of relevant journals, and the addition of other relevant scientific articles that come to our attention. Note - the entries in the database may not be exhaustive and new research will be added regularly.","abbreviation":null,"data_curation":{"url":"https://www.who.int/publications/m/item/quick-search-guide-who-covid-19-database","type":"manual"},"support_links":[{"url":"https://www.who.int/publications/m/item/quick-search-guide-who-covid-19-database","name":"Quick Search Guide for WHO COVID-19 Database","type":"Help documentation"}],"year_creation":2020,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001436","bsg-d001436"],"name":"FAIRsharing record for: Database of publications on coronavirus disease (COVID-19)","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.329809","doi":"10.25504/FAIRsharing.329809","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WHO is gathering the latest scientific findings and knowledge on coronavirus disease (COVID-19) and compiling it in a database. The database is updated daily from searches of bibliographic databases, manual searches of the table of contents of relevant journals, and the addition of other relevant scientific articles that come to our attention. Note - the entries in the database may not be exhaustive and new research will be added regularly.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12349},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12896}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Life Science","Biomedical Science","Epidemiology"],"domains":["Literature curation"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"WHO Privacy Legal Notice","licence_id":909,"licence_url":"https://www.who.int/about/policies/privacy","link_id":2585,"relation":"applies_to_content"}],"grants":[{"id":3776,"fairsharing_record_id":2933,"organisation_id":3252,"relation":"maintains","created_at":"2021-09-30T09:26:26.187Z","updated_at":"2021-09-30T09:26:26.187Z","grant_id":null,"is_lead":false,"saved_state":{"id":3252,"name":"World Health Organization (WHO)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2969","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T07:39:40.000Z","updated_at":"2023-12-15T10:31:51.034Z","metadata":{"doi":"10.25504/FAIRsharing.Z8OKi5","name":"ABCD database","status":"ready","contacts":[{"contact_name":"Wanessa du Fresne von Hohenesche","contact_email":"antibodies-order@unige.ch"}],"homepage":"https://web.expasy.org/abcd/","citations":[{"doi":"10.1093/nar/gkz714","pubmed_id":31410491,"publication_id":2923}],"identifier":2969,"description":"The ABCD (AntiBodies Chemically Defined) database is a manually curated depository of sequenced antibodies.","abbreviation":"ABCD","data_curation":{"type":"manual"},"year_creation":2018,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://web.expasy.org/abcd/submit.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001475","bsg-d001475"],"name":"FAIRsharing record for: ABCD database","abbreviation":"ABCD","url":"https://fairsharing.org/10.25504/FAIRsharing.Z8OKi5","doi":"10.25504/FAIRsharing.Z8OKi5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ABCD (AntiBodies Chemically Defined) database is a manually curated depository of sequenced antibodies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Molecular biology","Immunology"],"domains":["Antibody","Recombinant DNA","Amino acid sequence"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":2923,"pubmed_id":31410491,"title":"The ABCD database: a repository for chemically defined antibodies.","year":2019,"url":"http://doi.org/10.1093/nar/gkz714","authors":"Lima WC,Gasteiger E,Marcatili P,Duek P,Bairoch A,Cosson P","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz714","created_at":"2021-09-30T08:27:59.946Z","updated_at":"2021-09-30T11:29:48.962Z"}],"licence_links":[],"grants":[{"id":3898,"fairsharing_record_id":2969,"organisation_id":2984,"relation":"maintains","created_at":"2021-09-30T09:26:29.874Z","updated_at":"2021-09-30T09:26:29.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":2984,"name":"Universite de Geneve, Geneva, Switzerland","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2970","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T08:39:22.000Z","updated_at":"2023-12-15T10:32:29.907Z","metadata":{"doi":"10.25504/FAIRsharing.f14e0b","name":"National Pollutant Release Inventory","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"ec.inrp-npri.ec@canada.ca"}],"homepage":"https://www.canada.ca/en/services/environment/pollution-waste-management/national-pollutant-release-inventory.html","identifier":2970,"description":"The National Pollutant Release Inventory (NPRI) is Canada’s public inventory of releases, disposals and transfers. It tracks over 320 pollutants from over 7,000 facilities across Canada. Reporting facilities include factories that manufacture a variety of goods, mines, oil and gas operations, power plants and sewage treatment plants. The information that facility owners and operators must report to the inventory: helps Canadians understand pollutants releases in their communities, encourages actions to reduce pollution, helps track progress.","abbreviation":"NPRI","data_curation":{"url":"https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/data-quality.html","type":"manual"},"support_links":[{"url":"https://tinyurl.com/ybcpg68z","name":"Instructional videos: National Pollutant Release Inventory","type":"Help documentation"},{"url":"https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/using-interpreting-data.html","name":"Using and interpreting data from the National Pollutant Release Inventory","type":"Help documentation"}],"year_creation":1992,"data_versioning":"not found","associated_tools":[{"url":"https://www.canada.ca/en/environment-climate-change/services/national-pollutant-release-inventory/report/sector-specific-tools-calculate-emissions.html","name":"Tools to calculate emissions"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010623","name":"re3data:r3d100010623","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001476","bsg-d001476"],"name":"FAIRsharing record for: National Pollutant Release Inventory","abbreviation":"NPRI","url":"https://fairsharing.org/10.25504/FAIRsharing.f14e0b","doi":"10.25504/FAIRsharing.f14e0b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Pollutant Release Inventory (NPRI) is Canada’s public inventory of releases, disposals and transfers. It tracks over 320 pollutants from over 7,000 facilities across Canada. Reporting facilities include factories that manufacture a variety of goods, mines, oil and gas operations, power plants and sewage treatment plants. The information that facility owners and operators must report to the inventory: helps Canadians understand pollutants releases in their communities, encourages actions to reduce pollution, helps track progress.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Atmospheric Science","Water Research"],"domains":["Environmental contaminant","Climate"],"taxonomies":["Not applicable"],"user_defined_tags":["Climate change","Pollution","Recycling"],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Government of Canada Terms and conditions","licence_id":361,"licence_url":"https://www.canada.ca/en/transparency/terms.html","link_id":1352,"relation":"undefined"}],"grants":[{"id":3899,"fairsharing_record_id":2970,"organisation_id":868,"relation":"maintains","created_at":"2021-09-30T09:26:29.897Z","updated_at":"2021-09-30T09:26:29.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":868,"name":"Environment and Climate Change Canada, Gatineau, QC, Canada","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2971","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T09:35:28.000Z","updated_at":"2023-06-23T14:57:23.241Z","metadata":{"doi":"10.25504/FAIRsharing.cc3QN9","name":"World Data Centre for Space Weather","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"SWS_WDC@bom.gov.au"}],"homepage":"http://www.sws.bom.gov.au/World_Data_Centre","identifier":2971,"description":"The World Data Centre section provides software and data catalogue information and data produced by the Bureau of Meteorology - Space Weather Services (SWS) over the past decades. Thousands of gigabytes of Ionospheric, Magnetometer, Spectrograph, Cosmic Ray data and Solar images are available for download. These areas are continually growing, with the addition of new data types, downloadable tools and data from new locations.","abbreviation":"SWS - WDC","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.sws.bom.gov.au/World_Data_Centre/5/1","name":"Latest News","type":"Blog/News"},{"url":"http://www.sws.bom.gov.au/World_Data_Centre/5/2","type":"Help documentation"},{"url":"http://www.sws.bom.gov.au/World_Data_Centre/1/1/1","name":"SWS Data Policy","type":"Help documentation"}],"year_creation":2008,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010635","name":"re3data:r3d100010635","portal":"re3data"}],"data_access_condition":{"type":"open","notes":"Some special data requests must be done using an online form."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001477","bsg-d001477"],"name":"FAIRsharing record for: World Data Centre for Space Weather","abbreviation":"SWS - WDC","url":"https://fairsharing.org/10.25504/FAIRsharing.cc3QN9","doi":"10.25504/FAIRsharing.cc3QN9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The World Data Centre section provides software and data catalogue information and data produced by the Bureau of Meteorology - Space Weather Services (SWS) over the past decades. Thousands of gigabytes of Ionospheric, Magnetometer, Spectrograph, Cosmic Ray data and Solar images are available for download. These areas are continually growing, with the addition of new data types, downloadable tools and data from new locations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Electromagnetism","Meteorology","Cosmology","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Cosmology","Electromagnetism","ionosphere","Magnetometer","Optical spectrometer","Riometer","Solar activity"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"WDS Conditions for Use of Data","licence_id":854,"licence_url":"http://www.sws.bom.gov.au/World_Data_Centre","link_id":2268,"relation":"undefined"}],"grants":[{"id":3900,"fairsharing_record_id":2971,"organisation_id":2607,"relation":"maintains","created_at":"2021-09-30T09:26:29.928Z","updated_at":"2021-09-30T09:26:29.928Z","grant_id":null,"is_lead":false,"saved_state":{"id":2607,"name":"Space Weather Services, Haymarket, NSW, Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2972","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T12:55:59.000Z","updated_at":"2023-12-15T10:32:27.141Z","metadata":{"doi":"10.25504/FAIRsharing.096d5e","name":"Global Atmosphere Watch Station Information System","status":"ready","homepage":"https://gawsis.meteoswiss.ch/GAWSIS/index.html#/","identifier":2972,"description":"The Global Atmosphere Watch (GAW) is a worldwide system established by the World Meteorological Organization, a United Nations agency, to monitor trends in the Earth's atmosphere. GAWSIS is the official catalogue of GAW stations and Contributing networks. It provides the GAW community and other interested people with an up-to-date, searchable data base of : station characteristics, measurements programs and data available, instrument, contact people, bibliographic references. GAWSIS also serves as a repository for supporting documents.","abbreviation":"GAWSIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://tinyurl.com/yaaarb9j","name":"News","type":"Blog/News"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS/#/support","name":"Support","type":"Contact form"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS//index.html#/feedback","name":"Feedback","type":"Contact form"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS/#/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://gawsis.meteoswiss.ch/GAWSIS//index.html#/glossary/","name":"Glossary","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010141","name":"re3data:r3d100010141","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001478","bsg-d001478"],"name":"FAIRsharing record for: Global Atmosphere Watch Station Information System","abbreviation":"GAWSIS","url":"https://fairsharing.org/10.25504/FAIRsharing.096d5e","doi":"10.25504/FAIRsharing.096d5e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Global Atmosphere Watch (GAW) is a worldwide system established by the World Meteorological Organization, a United Nations agency, to monitor trends in the Earth's atmosphere. GAWSIS is the official catalogue of GAW stations and Contributing networks. It provides the GAW community and other interested people with an up-to-date, searchable data base of : station characteristics, measurements programs and data available, instrument, contact people, bibliographic references. GAWSIS also serves as a repository for supporting documents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Meteorology","Earth Science","Atmospheric Science"],"domains":["Radiation"],"taxonomies":["Not applicable"],"user_defined_tags":["Aerosol","Greenhouse gases","Ozone","Ultraviolet Rays"],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":3901,"fairsharing_record_id":2972,"organisation_id":3254,"relation":"maintains","created_at":"2021-09-30T09:26:29.970Z","updated_at":"2021-09-30T09:26:29.970Z","grant_id":null,"is_lead":false,"saved_state":{"id":3254,"name":"World Meteorological Organization (WMO)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3902,"fairsharing_record_id":2972,"organisation_id":1006,"relation":"maintains","created_at":"2021-09-30T09:26:30.008Z","updated_at":"2021-09-30T09:26:30.008Z","grant_id":null,"is_lead":false,"saved_state":{"id":1006,"name":"Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2973","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T14:14:35.000Z","updated_at":"2024-05-02T10:00:47.979Z","metadata":{"name":"Chromium Epigenomics Toxicology","status":"in_development","contacts":[{"contact_name":"Wen Niu","contact_email":"wen.niu@uc.edu","contact_orcid":"0000-0003-4927-5200"}],"homepage":"http://eh4.uc.edu/chromium/","citations":[{"doi":"10.1080/15592294.2018.1454243","pubmed_id":29561703,"publication_id":2919}],"identifier":2973,"description":"The Chromium Epigenomics Toxicology (EpiCrDB) database contains a variety of epigenomics experimental assays relating to research on how Cr(VI) perturbs chromatin organization and dynamics. This data is used in reseach into how its toxicity may be attributed to epigenetic carcinogenicity. Manually-annotated sample and experiment metadata is included to facilitate FAIR data access. Hexavalent chromium [Cr(VI)] compounds are well-established respiratory carcinogens utilized in industrial processes. While inhalation exposure constitutes an occupational risk affecting mostly chromium workers, environmental exposure from drinking water contamination is a widespread gastrointestinal carcinogen, affecting millions of people throughout the world. The mechanism of action of Cr(VI) at the molecular level is poorly understood.","abbreviation":"EpiCrDB","data_curation":{"type":"none"},"support_links":[],"year_creation":2020,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001479","bsg-d001479"],"name":"FAIRsharing record for: Chromium Epigenomics Toxicology","abbreviation":"EpiCrDB","url":"https://fairsharing.org/fairsharing_records/2973","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chromium Epigenomics Toxicology (EpiCrDB) database contains a variety of epigenomics experimental assays relating to research on how Cr(VI) perturbs chromatin organization and dynamics. This data is used in reseach into how its toxicity may be attributed to epigenetic carcinogenicity. Manually-annotated sample and experiment metadata is included to facilitate FAIR data access. Hexavalent chromium [Cr(VI)] compounds are well-established respiratory carcinogens utilized in industrial processes. While inhalation exposure constitutes an occupational risk affecting mostly chromium workers, environmental exposure from drinking water contamination is a widespread gastrointestinal carcinogen, affecting millions of people throughout the world. The mechanism of action of Cr(VI) at the molecular level is poorly understood.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16646}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenomics","Epigenetics","Toxicology","Life Science"],"domains":["Assay","Chromatin immunoprecipitation - DNA sequencing","Chromatin structure variation"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2919,"pubmed_id":29561703,"title":"Chromium disrupts chromatin organization and CTCF access to its cognate sites in promoters of differentially expressed genes.","year":2018,"url":"http://doi.org/10.1080/15592294.2018.1454243","authors":"VonHandorf A,Sanchez-Martin FJ,Biesiada J,Zhang H,Zhang X,Medvedovic M,Puga A","journal":"Epigenetics","doi":"10.1080/15592294.2018.1454243","created_at":"2021-09-30T08:27:59.509Z","updated_at":"2021-09-30T08:27:59.509Z"},{"id":2922,"pubmed_id":24837440,"title":"Formaldehyde-Assisted Isolation of Regulatory Elements (FAIRE) analysis uncovers broad changes in chromatin structure resulting from hexavalent chromium exposure.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0097849","authors":"Ovesen JL,Fan Y,Zhang X,Chen J,Medvedovic M,Xia Y,Puga A","journal":"PLoS One","doi":"10.1371/journal.pone.0097849","created_at":"2021-09-30T08:27:59.833Z","updated_at":"2021-09-30T08:27:59.833Z"},{"id":2928,"pubmed_id":30935235,"title":"Highlight Article: Chromium exposure disrupts chromatin architecture upsetting the mechanisms that regulate transcription.","year":2019,"url":"http://doi.org/10.1177/1535370219839953","authors":"Zablon HA,VonHandorf A,Puga A","journal":"Exp Biol Med (Maywood)","doi":"10.1177/1535370219839953","created_at":"2021-09-30T08:28:00.633Z","updated_at":"2021-09-30T08:28:00.633Z"}],"licence_links":[],"grants":[{"id":3903,"fairsharing_record_id":2973,"organisation_id":706,"relation":"maintains","created_at":"2021-09-30T09:26:30.045Z","updated_at":"2024-05-01T15:28:57.342Z","grant_id":null,"is_lead":true,"saved_state":{"id":706,"name":"Department of Environmental and Public Health Sciences, University of Cincinnati","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2974","type":"fairsharing_records","attributes":{"created_at":"2020-05-04T14:28:11.000Z","updated_at":"2023-12-15T10:32:38.029Z","metadata":{"doi":"10.25504/FAIRsharing.eef384","name":"Alternative Fuels Data Center","status":"ready","contacts":[{"contact_name":"Technical Response Service","contact_email":"technicalresponse@icf.com"}],"homepage":"https://afdc.energy.gov/","citations":[],"identifier":2974,"description":"The Alternative Fuels Data Center (AFDC) provides a wealth of information and data on alternative and renewable fuels, advanced vehicles, fuel-saving strategies, and emerging transportation technologies. This site features interactive tools, calculators, and mapping applications to aid in the implementation of these fuels, vehicles, and strategies. The AFDC functions as a dynamic online hub, providing information, tools, and resources for transportation decision makers seeking domestic alternatives that diversify energy sources and help businesses make wise economic choices.","abbreviation":"AFDC","data_curation":{"type":"not found"},"support_links":[{"url":"https://afdc.energy.gov/website-contact.html","type":"Contact form"}],"year_creation":1991,"data_versioning":"yes","associated_tools":[{"url":"https://afdc.energy.gov/tools","name":"Alternative Fuels Data Center Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010226","name":"re3data:r3d100010226","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001480","bsg-d001480"],"name":"FAIRsharing record for: Alternative Fuels Data Center","abbreviation":"AFDC","url":"https://fairsharing.org/10.25504/FAIRsharing.eef384","doi":"10.25504/FAIRsharing.eef384","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Alternative Fuels Data Center (AFDC) provides a wealth of information and data on alternative and renewable fuels, advanced vehicles, fuel-saving strategies, and emerging transportation technologies. This site features interactive tools, calculators, and mapping applications to aid in the implementation of these fuels, vehicles, and strategies. The AFDC functions as a dynamic online hub, providing information, tools, and resources for transportation decision makers seeking domestic alternatives that diversify energy sources and help businesses make wise economic choices.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Energy Engineering","Ecology","Earth Science"],"domains":["Bioenergy","Sustainability"],"taxonomies":["Not applicable"],"user_defined_tags":["Fossil Fuel","Fuel Oil"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Department of Energy Web Policies","licence_id":233,"licence_url":"https://www.energy.gov/about-us/web-policies","link_id":1078,"relation":"undefined"}],"grants":[{"id":9408,"fairsharing_record_id":2974,"organisation_id":3167,"relation":"maintains","created_at":"2022-04-11T12:07:36.343Z","updated_at":"2022-04-11T12:07:36.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2976","type":"fairsharing_records","attributes":{"created_at":"2020-05-06T10:20:42.000Z","updated_at":"2023-12-15T10:31:33.033Z","metadata":{"doi":"10.25504/FAIRsharing.4e7190","name":"EUROLAS Data Center","status":"ready","contacts":[{"contact_name":"Christian Schwatke","contact_email":"christian.schwatke@tum.de","contact_orcid":"0000-0002-4741-3449"}],"homepage":"https://edc.dgfi.tum.de/en/","citations":[],"identifier":2976,"description":"The EUROLAS Data Center (EDC) is one of the two data centers of the International Laser Ranging Service (ILRS). It collects, archives and distributes tracking data, predictions and other tracking relevant information from the Consortium of European Satellite Laser Ranging (SLR) network. Additionally EDC holds a mirror of the official Web-Pages of the ILRS at Goddard Space Flight Center (GSFC).","abbreviation":"EDC","data_curation":{"type":"not found"},"support_links":[{"url":"carey.noll@nasa.gov","name":"Carey Noll","type":"Support email"},{"url":"https://edc.dgfi.tum.de/en/mailing_lists/","type":"Mailing list"}],"year_creation":1991,"data_versioning":"yes","associated_tools":[{"url":"https://edc.dgfi.tum.de/en/tools/crd_check/","name":"CRD-Check"},{"url":"https://edc.dgfi.tum.de/en/tools/cpf_check/","name":"CPF-Check"},{"url":"https://edc.dgfi.tum.de/en/tools/cpf_mailer/","name":"CPF-Mailer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010728","name":"re3data:r3d100010728","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001482","bsg-d001482"],"name":"FAIRsharing record for: EUROLAS Data Center","abbreviation":"EDC","url":"https://fairsharing.org/10.25504/FAIRsharing.4e7190","doi":"10.25504/FAIRsharing.4e7190","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EUROLAS Data Center (EDC) is one of the two data centers of the International Laser Ranging Service (ILRS). It collects, archives and distributes tracking data, predictions and other tracking relevant information from the Consortium of European Satellite Laser Ranging (SLR) network. Additionally EDC holds a mirror of the official Web-Pages of the ILRS at Goddard Space Flight Center (GSFC).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Astrophysics and Astronomy","Geodesy","Earth Science","Selenography"],"domains":["Observation design","Measurement"],"taxonomies":["Not applicable"],"user_defined_tags":["Satellite Laser Ranging","Selenography"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"EUROLAS Data Center (EDC) Privacy Policy","licence_id":299,"licence_url":"https://edc.dgfi.tum.de/en/privacy_policy/","link_id":1288,"relation":"undefined"}],"grants":[{"id":3907,"fairsharing_record_id":2976,"organisation_id":621,"relation":"undefined","created_at":"2021-09-30T09:26:30.181Z","updated_at":"2021-09-30T09:26:30.181Z","grant_id":null,"is_lead":false,"saved_state":{"id":621,"name":"Crustal Dynamics Data Information System (CDDIS), USA","types":["Government body"],"is_lead":false,"relation":"undefined"}},{"id":3906,"fairsharing_record_id":2976,"organisation_id":1137,"relation":"maintains","created_at":"2021-09-30T09:26:30.157Z","updated_at":"2021-09-30T09:26:30.157Z","grant_id":null,"is_lead":false,"saved_state":{"id":1137,"name":"German Geodetic Research Institute (DGFI-TUM), Munich, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2977","type":"fairsharing_records","attributes":{"created_at":"2020-05-28T14:51:48.000Z","updated_at":"2023-12-15T10:31:07.849Z","metadata":{"doi":"10.25504/FAIRsharing.LdoU1I","name":"International Mouse Phenotyping Consortium","status":"ready","contacts":[{"contact_name":"IMPC helpdesk","contact_email":"mouse-helpdesk@ebi.ac.uk"}],"homepage":"https://www.mousephenotype.org/","citations":[{"doi":"10.1038/nature19356","pubmed_id":27626380,"publication_id":2985}],"identifier":2977,"description":"The International Mouse Phenotyping Consortium (IMPC) produces a publicly-available repository that stores information on IMPC processes, data and annotations. The IMPC is an international effort by 19 research institutions to identify the function of every protein-coding gene in the mouse genome by switching off or ‘knocking out’ each of the roughly 20,000 genes that make up the mouse genome.","abbreviation":"IMPC","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.mousephenotype.org/news/","name":"News","type":"Blog/News"},{"url":"https://www.mousephenotype.org/blog/","name":"Blog","type":"Blog/News"},{"url":"https://www.mousephenotype.org/contact-us/","name":"Contact IMPC","type":"Contact form"},{"url":"https://www.mousephenotype.org/help/faqs/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.mousephenotype.org/help/","name":"General Help","type":"Help documentation"},{"url":"https://www.mousephenotype.org/understand/the-data/how-we-generate-the-data/","name":"How Data is Generated","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/impc-using-the-mouse-phenotyping-portal","name":"IMPC: Using the mouse phenotyping portal","type":"TeSS links to training materials"},{"url":"https://twitter.com/impc","name":"@impc","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.mousephenotype.org/data/parallel","name":"KO effect comparator"},{"url":"https://www.mousephenotype.org/phenodcc/","name":"PhenoDCC"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010636","name":"re3data:r3d100010636","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006158","name":"SciCrunch:RRID:SCR_006158","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.mousephenotype.org/help/faqs/is-impc-data-freely-available/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001483","bsg-d001483"],"name":"FAIRsharing record for: International Mouse Phenotyping Consortium","abbreviation":"IMPC","url":"https://fairsharing.org/10.25504/FAIRsharing.LdoU1I","doi":"10.25504/FAIRsharing.LdoU1I","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Mouse Phenotyping Consortium (IMPC) produces a publicly-available repository that stores information on IMPC processes, data and annotations. The IMPC is an international effort by 19 research institutions to identify the function of every protein-coding gene in the mouse genome by switching off or ‘knocking out’ each of the roughly 20,000 genes that make up the mouse genome.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":20000}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Functional Genomics","Phenomics"],"domains":["Phenotype","Protein","Genome"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Australia","Canada","China","Czech Republic","France","Germany","India","Italy","Japan","South Africa","South Korea","Spain","Taiwan","United Kingdom","United States"],"publications":[{"id":2985,"pubmed_id":27626380,"title":"High-throughput Discovery of Novel Developmental Phenotypes","year":2016,"url":"http://doi.org/10.1038/nature19356","authors":"Dickinson ME, Flenniken AM, Ji X, et al.","journal":"Nature","doi":"10.1038/nature19356","created_at":"2021-09-30T08:28:07.791Z","updated_at":"2021-09-30T08:28:07.791Z"}],"licence_links":[{"licence_name":"IMPC Terms of Use","licence_id":433,"licence_url":"https://www.mousephenotype.org/about-impc/terms-of-use/","link_id":1684,"relation":"undefined"}],"grants":[{"id":3910,"fairsharing_record_id":2977,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:30.256Z","updated_at":"2021-09-30T09:26:30.256Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3908,"fairsharing_record_id":2977,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:30.206Z","updated_at":"2021-09-30T09:26:30.206Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3909,"fairsharing_record_id":2977,"organisation_id":1347,"relation":"maintains","created_at":"2021-09-30T09:26:30.231Z","updated_at":"2021-09-30T09:26:30.231Z","grant_id":null,"is_lead":false,"saved_state":{"id":1347,"name":"Infrafrontier Research Infrastructure, Infrafrontier Gmbh, Munich, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2978","type":"fairsharing_records","attributes":{"created_at":"2020-05-06T18:22:27.000Z","updated_at":"2023-07-17T11:11:04.820Z","metadata":{"doi":"10.25504/FAIRsharing.7fKiFY","name":"The Digital Archaeological Record","status":"ready","contacts":[{"contact_email":"comments@tdar.org"}],"homepage":"https://www.tdar.org/","citations":[{"doi":"10.1017/aap.2017.18","pubmed_id":null,"publication_id":3954}],"identifier":2978,"description":"The Digital Archaeological Record (tDAR) is an international digital repository for the digital records of archaeological investigations. tDAR’s use, development, and maintenance are governed by the Center for Digital Antiquity, an organization dedicated to ensuring the long-term preservation of irreplaceable archaeological data and to broadening the access to these data.","abbreviation":"tDAR","data_curation":{"url":"https://core.tdar.org/cart/add#","type":"manual"},"support_links":[{"url":"https://www.tdar.org/news/","name":"News","type":"Blog/News"},{"url":"https://www.tdar.org/about/contact-us/","name":"Contact Information","type":"Contact form"},{"url":"https://www.tdar.org/using-tdar/","name":"Using tDAR","type":"Help documentation"},{"url":"https://www.digitalantiquity.org/publications/","name":"Publications","type":"Help documentation"},{"url":"https://www.tdar.org/about/","name":"About","type":"Help documentation"},{"url":"https://www.tdar.org/why-tdar/access/","name":"Access and Use","type":"Help documentation"},{"url":"https://twitter.com/DigArcRec","name":"@DigArcRec","type":"Twitter"}],"year_creation":2008,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010347","name":"re3data:r3d100010347","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.tdar.org/why-tdar/compliance/","name":"All files in tDAR are constantly checked to ensure that they are valid. Files are migrated to preservation formats automatically to ensure long-term access."},"data_deposition_condition":{"url":"https://core.tdar.org/cart/add#","type":"controlled","notes":"Data are reviewed and added by the curation team only (upon service-fees)."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001484","bsg-d001484"],"name":"FAIRsharing record for: The Digital Archaeological Record","abbreviation":"tDAR","url":"https://fairsharing.org/10.25504/FAIRsharing.7fKiFY","doi":"10.25504/FAIRsharing.7fKiFY","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Digital Archaeological Record (tDAR) is an international digital repository for the digital records of archaeological investigations. tDAR’s use, development, and maintenance are governed by the Center for Digital Antiquity, an organization dedicated to ensuring the long-term preservation of irreplaceable archaeological data and to broadening the access to these data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Archaeology","Data Integration","Data Management","Anthropology"],"domains":["Digital curation","Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":3954,"pubmed_id":null,"title":"tDAR","year":2017,"url":"http://dx.doi.org/10.1017/aap.2017.18","authors":"McManamon, Francis P.; Kintigh, Keith W.; Ellison, Leigh Anne; Brin, Adam; ","journal":"Adv. archaeol. pract.","doi":"10.1017/aap.2017.18","created_at":"2023-07-17T10:54:08.962Z","updated_at":"2023-07-17T10:54:08.962Z"}],"licence_links":[{"licence_name":"tDAR Policies and Procedures","licence_id":775,"licence_url":"https://www.tdar.org/about/policies/","link_id":894,"relation":"undefined"}],"grants":[{"id":3911,"fairsharing_record_id":2978,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:30.281Z","updated_at":"2021-09-30T09:26:30.281Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3914,"fairsharing_record_id":2978,"organisation_id":1984,"relation":"funds","created_at":"2021-09-30T09:26:30.356Z","updated_at":"2021-09-30T09:26:30.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":1984,"name":"National Endowment for the Humanities","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3915,"fairsharing_record_id":2978,"organisation_id":417,"relation":"maintains","created_at":"2021-09-30T09:26:30.391Z","updated_at":"2021-09-30T09:26:30.391Z","grant_id":null,"is_lead":true,"saved_state":{"id":417,"name":"Center for Digital Antiquity","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3913,"fairsharing_record_id":2978,"organisation_id":95,"relation":"funds","created_at":"2021-09-30T09:26:30.330Z","updated_at":"2021-09-30T09:26:30.330Z","grant_id":null,"is_lead":false,"saved_state":{"id":95,"name":"Andrew W. Mellon Foundation, New York, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3912,"fairsharing_record_id":2978,"organisation_id":114,"relation":"associated_with","created_at":"2021-09-30T09:26:30.306Z","updated_at":"2023-07-17T10:55:31.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":114,"name":"Arizona State University","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBczhDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6d0722a42b8cd276183e0db26cd7a52d39c2e6ca/bg-logo-transparent.png?disposition=inline","exhaustive_licences":false}},{"id":"2979","type":"fairsharing_records","attributes":{"created_at":"2020-05-06T21:04:06.000Z","updated_at":"2024-06-18T13:07:20.348Z","metadata":{"doi":"10.25504/FAIRsharing.9e23f2","name":"NanoCommons Knowledge Base","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"helpdesk@nanocommons.eu"}],"homepage":"https://www.nanocommons.eu/nanocommons-knowledge-base/","citations":[{"doi":"10.3389/fphy.2023.1271842","pubmed_id":null,"publication_id":4273}],"identifier":2979,"description":"The NanoCommons Knowledge Base is a data source provided by the NanoCommons project. It is based on the BioXM TM Knowledge Management Environment, developed over the last 15 years by Biomax Informatics AG and applied in multiple collaborative research projects and commercial environments. This database requires registration. NanoCommons provides a community framework and infrastructure for reproducible science and in-silico workflows for nanomaterials safety assessment","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.nanocommons.eu/e-infrastructure/frequently-asked-questions/","name":"FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2019,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013329","name":"re3data:r3d100013329","portal":"re3data"}],"data_access_condition":{"url":"https://www.nanocommons.eu/ta-access/","type":"controlled"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.nanocommons.eu/e-infrastructure/frequently-asked-questions/","type":"open","notes":"Submission via email enquiries only."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001485","bsg-d001485"],"name":"FAIRsharing record for: NanoCommons Knowledge Base","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9e23f2","doi":"10.25504/FAIRsharing.9e23f2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NanoCommons Knowledge Base is a data source provided by the NanoCommons project. It is based on the BioXM TM Knowledge Management Environment, developed over the last 15 years by Biomax Informatics AG and applied in multiple collaborative research projects and commercial environments. This database requires registration. NanoCommons provides a community framework and infrastructure for reproducible science and in-silico workflows for nanomaterials safety assessment","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11560},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16769}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Toxicogenomics","Composite Materials","Nanotechnology","Materials Informatics","Materials Engineering","Occupational Medicine","Toxicology","Chemistry","Safety Science","Analytical Chemistry","Biology"],"domains":["Nanoparticle","Toxicity"],"taxonomies":["Not applicable"],"user_defined_tags":["Nanosafety","Systems toxicology"],"countries":["Germany"],"publications":[{"id":4273,"pubmed_id":null,"title":"Harmonising knowledge for safer materials via the “NanoCommons” Knowledge Base","year":2023,"url":"http://dx.doi.org/10.3389/fphy.2023.1271842","authors":"Maier, Dieter; Exner, Thomas E.; Papadiamantis, Anastasios G.; Ammar, Ammar; Tsoumanis, Andreas; Doganis, Philip; Rouse, Ian; Slater, Luke T.; Gkoutos, Georgios V.; Jeliazkova, Nina; Ilgenfritz, Hilmar; Ziegler, Martin; Gerhard, Beatrix; Kopetsky, Sebastian; Joshi, Deven; Walker, Lee; Svendsen, Claus; Sarimveis, Haralambos; Lobaskin, Vladimir; Himly, Martin; van Rijn, Jeaphianne; Winckers, Laurent; Millán Acosta, Javier; Willighagen, Egon; Melagraki, Georgia; Afantitis, Antreas; Lynch, Iseult; ","journal":"Front. Phys.","doi":"10.3389/fphy.2023.1271842","created_at":"2024-05-05T09:58:57.974Z","updated_at":"2024-05-05T09:58:57.974Z"},{"id":4274,"pubmed_id":null,"title":"Effect of the Albumin Corona on the Toxicity of Combined Graphene Oxide and Cadmium to Daphnia magna and Integration of the Datasets into the NanoCommons Knowledge Base","year":2020,"url":"http://dx.doi.org/10.3390/nano10101936","authors":"Martinez, Diego Stéfani T.; Da Silva, Gabriela H.; de Medeiros, Aline Maria Z.; Khan, Latif U.; Papadiamantis, Anastasios G.; Lynch, Iseult; ","journal":"Nanomaterials","doi":"10.3390/nano10101936","created_at":"2024-05-05T10:01:54.989Z","updated_at":"2024-05-05T10:01:54.989Z"}],"licence_links":[],"grants":[{"id":3916,"fairsharing_record_id":2979,"organisation_id":915,"relation":"funds","created_at":"2021-09-30T09:26:30.413Z","updated_at":"2021-09-30T09:29:19.724Z","grant_id":197,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","grant":"731032","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3917,"fairsharing_record_id":2979,"organisation_id":1929,"relation":"maintains","created_at":"2021-09-30T09:26:30.439Z","updated_at":"2021-09-30T09:26:30.439Z","grant_id":null,"is_lead":true,"saved_state":{"id":1929,"name":"Nanocommons","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBazhFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3efcdc8c63c4229f3dbf72bba1f7ecec544b1388/NanoCommons-Logo-1.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2980","type":"fairsharing_records","attributes":{"created_at":"2020-05-07T10:22:34.000Z","updated_at":"2023-12-15T10:32:48.308Z","metadata":{"doi":"10.25504/FAIRsharing.0f86f9","name":"RRUFF Database","status":"ready","contacts":[{"contact_name":"Bob Downs","contact_email":"rdowns@u.arizona.edu"}],"homepage":"https://rruff.info/","citations":[{"publication_id":2976}],"identifier":2980,"description":"The goal of the RRUFF Database is to store a complete set of spectral data from well characterized minerals, and to make that data publicly available. This data can be used as a standard for mineralogists, geoscientists, gemologists and the general public for the identification of minerals both on earth and in space exploration.","abbreviation":"RRUFF Database","data_curation":{"url":"https://rruff.info/about/about_software.php","type":"manual/automated"},"support_links":[{"url":"hyang@email.arizona.edu","name":"Hexiong Yang","type":"Support email"},{"url":"https://rruff.info/about/about_general.php","name":"About","type":"Help documentation"},{"url":"https://rruff.info/about/about_status.php","name":"Mineral Status Values","type":"Help documentation"},{"url":"https://rruff.info/about/about_photography.php","name":"Photography for RRUFF","type":"Help documentation"},{"url":"https://rruff.info/about/about_sample_detail.php","name":"About Database Records","type":"Help documentation"},{"url":"https://rruff.info/about/about_equipment.php","name":"Equipment Used","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"https://rruff.info/about/about_software.php","name":"CrystalSleuth"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010766","name":"re3data:r3d100010766","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://rruff.info/about/about_general.php","type":"open","notes":"The project welcomes new samples including minerals not present in the database as well as additional samples from different localities."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001486","bsg-d001486"],"name":"FAIRsharing record for: RRUFF Database","abbreviation":"RRUFF Database","url":"https://fairsharing.org/10.25504/FAIRsharing.0f86f9","doi":"10.25504/FAIRsharing.0f86f9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The goal of the RRUFF Database is to store a complete set of spectral data from well characterized minerals, and to make that data publicly available. This data can be used as a standard for mineralogists, geoscientists, gemologists and the general public for the identification of minerals both on earth and in space exploration.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Gemology","Chemistry","Earth Science","Mineralogy"],"domains":["Chemical structure","Raman spectroscopy"],"taxonomies":["Not applicable"],"user_defined_tags":["Gemology"],"countries":["United States"],"publications":[{"id":2976,"pubmed_id":null,"title":"The power of databases: The RRUFF project","year":2016,"url":"https://rruff.info/about/downloads/HMC1-30.pdf","authors":"Barbara Lafuente, Robert T Downs, Hexiong Yang, Nate Stone","journal":"Highlights in Mineralogical Crystallography (pp. 1-29)","doi":null,"created_at":"2021-09-30T08:28:06.692Z","updated_at":"2021-09-30T08:28:06.692Z"}],"licence_links":[{"licence_name":"RRUFF Database Terms and Conditions","licence_id":715,"licence_url":"https://rruff.info/","link_id":631,"relation":"undefined"}],"grants":[{"id":3919,"fairsharing_record_id":2980,"organisation_id":113,"relation":"funds","created_at":"2021-09-30T09:26:30.495Z","updated_at":"2021-09-30T09:26:30.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":113,"name":"Arizona Science Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3922,"fairsharing_record_id":2980,"organisation_id":1599,"relation":"funds","created_at":"2021-09-30T09:26:30.578Z","updated_at":"2021-09-30T09:26:30.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":1599,"name":"Jet Propulsion Laboratory, California Institute of Technology, NASA, Pasadena, CA","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":3918,"fairsharing_record_id":2980,"organisation_id":2652,"relation":"funds","created_at":"2021-09-30T09:26:30.463Z","updated_at":"2021-09-30T09:26:30.463Z","grant_id":null,"is_lead":false,"saved_state":{"id":2652,"name":"Strategic University Research Partnership program, NASA, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3920,"fairsharing_record_id":2980,"organisation_id":2151,"relation":"funds","created_at":"2021-09-30T09:26:30.524Z","updated_at":"2021-09-30T09:26:30.524Z","grant_id":null,"is_lead":false,"saved_state":{"id":2151,"name":"Newmont Mining Corporation, Greenwood Village, CO, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3921,"fairsharing_record_id":2980,"organisation_id":1053,"relation":"funds","created_at":"2021-09-30T09:26:30.548Z","updated_at":"2021-09-30T09:26:30.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":1053,"name":"Freeport-McMoRan Corporation, Phoenix, AZ, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3923,"fairsharing_record_id":2980,"organisation_id":1842,"relation":"maintains","created_at":"2021-09-30T09:26:30.620Z","updated_at":"2021-09-30T09:26:30.620Z","grant_id":null,"is_lead":false,"saved_state":{"id":1842,"name":"Mineralogy and cristallography lab, Department of Geosciences, University of Arizona, AZ, U.S.A","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3926,"fairsharing_record_id":2980,"organisation_id":1828,"relation":"funds","created_at":"2021-09-30T09:26:30.737Z","updated_at":"2021-09-30T09:26:30.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":1828,"name":"Michael Scott","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":3924,"fairsharing_record_id":2980,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:30.658Z","updated_at":"2021-09-30T09:30:16.022Z","grant_id":627,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"EAR-0622371","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3925,"fairsharing_record_id":2980,"organisation_id":1934,"relation":"funds","created_at":"2021-09-30T09:26:30.696Z","updated_at":"2021-09-30T09:30:56.568Z","grant_id":945,"is_lead":false,"saved_state":{"id":1934,"name":"NASA Ames Research Center, CA, USA","grant":"NASA NNX11AP82A","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2981","type":"fairsharing_records","attributes":{"created_at":"2020-05-09T08:14:25.000Z","updated_at":"2023-12-15T10:30:01.195Z","metadata":{"doi":"10.25504/FAIRsharing.VErHgW","name":"EMODnet Human Activities","status":"ready","homepage":"https://www.emodnet-humanactivities.eu/","identifier":2981,"description":"EMODnet Human Activities provides access to existing marine data on activities carried out in EU waters by building a single entry point for geographic information on 14 different themes. The portal includes information on geographical position, spatial extent of a series of activities related to the sea, their temporal variation, time when data was provided, and attributes to indicate the intensity of each activity. The data are aggregated and presented so as to preserve personal privacy and commercially-sensitive information. The data also include a time interval so that historic as well as current activities can be included.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.emodnet-humanactivities.eu/blog/","name":"EMODnet Human Activities Blog","type":"Blog/News"},{"url":"https://www.emodnet-humanactivities.eu/contact-us.php","name":"Contact Form","type":"Contact form"},{"url":"https://www.emodnet-humanactivities.eu/support.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.emodnet-humanactivities.eu/about-ha.php","name":"About","type":"Help documentation"},{"url":"https://www.emodnet-humanactivities.eu/documents.php","name":"Publications","type":"Help documentation"},{"url":"https://www.emodnet-humanactivities.eu/sources.php","name":"Data Sources","type":"Help documentation"},{"url":"https://www.emodnet-humanactivities.eu/partners.php","name":"Partners","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://emodnet.ec.europa.eu/en/contribute-data-emodnet","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001487","bsg-d001487"],"name":"FAIRsharing record for: EMODnet Human Activities","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.VErHgW","doi":"10.25504/FAIRsharing.VErHgW","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EMODnet Human Activities provides access to existing marine data on activities carried out in EU waters by building a single entry point for geographic information on 14 different themes. The portal includes information on geographical position, spatial extent of a series of activities related to the sea, their temporal variation, time when data was provided, and attributes to indicate the intensity of each activity. The data are aggregated and presented so as to preserve personal privacy and commercially-sensitive information. The data also include a time interval so that historic as well as current activities can be included.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Geography","Maritime Engineering","Aquaculture","Earth Science"],"domains":["Geographical location","Marine environment"],"taxonomies":["All"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":3927,"fairsharing_record_id":2981,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:30.779Z","updated_at":"2021-09-30T09:26:30.779Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3928,"fairsharing_record_id":2981,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:30.820Z","updated_at":"2021-09-30T09:26:30.820Z","grant_id":null,"is_lead":true,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2959","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T10:20:25.000Z","updated_at":"2023-12-15T10:33:00.547Z","metadata":{"doi":"10.25504/FAIRsharing.ead9cc","name":"HEP Drug Interactions","status":"ready","contacts":[{"contact_name":"David Back","contact_email":"D.J.Back@liverpool.ac.uk","contact_orcid":"0000-0002-7381-4799"}],"homepage":"https://www.hep-druginteractions.org/","identifier":2959,"description":"Currently 170 million people worldwide are infected with the hepatitis C virus (HCV) and \u003e300 million with hepatitis B (HBV). Although interferon-free combination direct acting antivirals (DAAs) regimens have improved tolerability and efficacy for HCV-infected patients, drug-drug interactions (DDIs) have the potential to cause harm due to liver dysfunction, multiple comorbidities and comedications. This web site was established in 2010 by members of the Department of Pharmacology at the University of Liverpool to offer a resource for healthcare providers, researchers and patients to be able to understand and manage drug-drug interactions.","abbreviation":null,"data_curation":{"url":"https://hep-druginteractions.org/mission","type":"manual"},"support_links":[{"url":"https://www.hep-druginteractions.org/site_updates","name":"News","type":"Blog/News"},{"url":"https://www.hep-druginteractions.org/feedback","name":"Feedback","type":"Contact form"},{"url":"https://www.hep-druginteractions.org/prescribing-resources","name":"Printable materials in PDF format to aid prescribing","type":"Help documentation"},{"url":"https://www.hep-druginteractions.org/videos","name":"Series of mini-lectures on pharmacology and HEP","type":"Help documentation"},{"url":"https://twitter.com/hepinteractions","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://apps.apple.com/gb/app/liverpool-hep-ichart/id960012821","name":"Liverpool HEP iChart (AppStore)"},{"url":"https://play.google.com/store/apps/details?id=com.liverpooluni.icharthep\u0026hl=en","name":"Liverpool HEP iChart (Google Play)"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001463","bsg-d001463"],"name":"FAIRsharing record for: HEP Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ead9cc","doi":"10.25504/FAIRsharing.ead9cc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Currently 170 million people worldwide are infected with the hepatitis C virus (HCV) and \u003e300 million with hepatitis B (HBV). Although interferon-free combination direct acting antivirals (DAAs) regimens have improved tolerability and efficacy for HCV-infected patients, drug-drug interactions (DDIs) have the potential to cause harm due to liver dysfunction, multiple comorbidities and comedications. This web site was established in 2010 by members of the Department of Pharmacology at the University of Liverpool to offer a resource for healthcare providers, researchers and patients to be able to understand and manage drug-drug interactions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12913}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Virology","Biomedical Science","Epidemiology"],"domains":["Liver disease","Drug interaction","Disease"],"taxonomies":["Hepatitis b virus","Hepatitis C virus","Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"HEP Drug Interactions Terms and Conditions","licence_id":389,"licence_url":"https://www.hep-druginteractions.org/terms","link_id":857,"relation":"undefined"}],"grants":[{"id":3872,"fairsharing_record_id":2959,"organisation_id":14,"relation":"funds","created_at":"2021-09-30T09:26:29.090Z","updated_at":"2021-09-30T09:26:29.090Z","grant_id":null,"is_lead":false,"saved_state":{"id":14,"name":"Abbvie, North Chicago, Illinois, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3875,"fairsharing_record_id":2959,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:29.198Z","updated_at":"2021-09-30T09:26:29.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3873,"fairsharing_record_id":2959,"organisation_id":907,"relation":"funds","created_at":"2021-09-30T09:26:29.128Z","updated_at":"2021-09-30T09:26:29.128Z","grant_id":null,"is_lead":false,"saved_state":{"id":907,"name":"European Association for the Study of the Liver (EASL)","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3874,"fairsharing_record_id":2959,"organisation_id":1585,"relation":"funds","created_at":"2021-09-30T09:26:29.166Z","updated_at":"2021-09-30T09:26:29.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":1585,"name":"Janssen EMEA, Beerse, Belgium","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3876,"fairsharing_record_id":2959,"organisation_id":1907,"relation":"funds","created_at":"2021-09-30T09:26:29.232Z","updated_at":"2021-09-30T09:26:29.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":1907,"name":"MSD, Hoddesdon, UK","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2960","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T10:52:19.000Z","updated_at":"2023-12-15T10:33:04.210Z","metadata":{"doi":"10.25504/FAIRsharing.eca8fd","name":"Cancer Drug Interactions","status":"ready","contacts":[{"contact_name":"Nielka Van Erp","contact_email":"nielka.vanerp@radboudumc.nl","contact_orcid":"0000-0003-1553-178X"}],"homepage":"https://cancer-druginteractions.org/","citations":[],"identifier":2960,"description":"Nearly 60% of patients undergoing cancer treatment are estimated to have had at least one potential drug-drug interaction; for patients receiving oral anticancer therapy, up to 50% have been reported to experience a potential drug-drug interaction, with 16% experiencing a major event. Drug-drug interactions are therefore a significant issue for cancer patients and the health care professionals who treat them. Combining the internationally recognised drug-drug interactions expertise of the University of Liverpool (UK) with the clinical pharmacology in oncology and haemotology expertise of Radboud University, Nijmegen (the Netherlands), this site was established in 2017 in response to the need for improved management of DDIs with anti-cancer agents.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://cancer-druginteractions.org/support-us","name":"Donate","type":"Other"},{"url":"https://cancer-druginteractions.org/feedbacks/new","name":"Feedback","type":"Contact form"},{"url":"https://cancer-druginteractions.org/site_updates","name":"Website updates","type":"Help documentation"},{"url":"https://twitter.com/CancerDDIs","type":"Twitter"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"https://apps.apple.com/gb/app/cancer-ichart/id1414833100","name":"Cancer iChart (AppStore)"},{"url":"https://play.google.com/store/apps/details?id=com.liverpooluni.ichartoncology\u0026hl=en_GB","name":"Cancer iChart (Google Play)"}],"data_access_condition":{"url":"https://cancer-druginteractions.org/view_all_interactions/new","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001464","bsg-d001464"],"name":"FAIRsharing record for: Cancer Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.eca8fd","doi":"10.25504/FAIRsharing.eca8fd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Nearly 60% of patients undergoing cancer treatment are estimated to have had at least one potential drug-drug interaction; for patients receiving oral anticancer therapy, up to 50% have been reported to experience a potential drug-drug interaction, with 16% experiencing a major event. Drug-drug interactions are therefore a significant issue for cancer patients and the health care professionals who treat them. Combining the internationally recognised drug-drug interactions expertise of the University of Liverpool (UK) with the clinical pharmacology in oncology and haemotology expertise of Radboud University, Nijmegen (the Netherlands), this site was established in 2017 in response to the need for improved management of DDIs with anti-cancer agents.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Biomedical Science"],"domains":["Cancer","Drug interaction","Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Drug Interactions Terms and Conditions","licence_id":254,"licence_url":"https://cancer-druginteractions.org/terms","link_id":2326,"relation":"undefined"}],"grants":[{"id":3878,"fairsharing_record_id":2960,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:26:29.288Z","updated_at":"2021-09-30T09:26:29.288Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3881,"fairsharing_record_id":2960,"organisation_id":311,"relation":"funds","created_at":"2021-09-30T09:26:29.371Z","updated_at":"2021-09-30T09:26:29.371Z","grant_id":null,"is_lead":false,"saved_state":{"id":311,"name":"Bristol Myers Squibb, New York, NY, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3877,"fairsharing_record_id":2960,"organisation_id":2399,"relation":"maintains","created_at":"2021-09-30T09:26:29.265Z","updated_at":"2021-09-30T09:26:29.265Z","grant_id":null,"is_lead":false,"saved_state":{"id":2399,"name":"Radboud University Medical Center, Nijmegen, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3879,"fairsharing_record_id":2960,"organisation_id":1585,"relation":"funds","created_at":"2021-09-30T09:26:29.314Z","updated_at":"2021-09-30T09:26:29.314Z","grant_id":null,"is_lead":false,"saved_state":{"id":1585,"name":"Janssen EMEA, Beerse, Belgium","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3880,"fairsharing_record_id":2960,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:29.346Z","updated_at":"2021-09-30T09:26:29.346Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3882,"fairsharing_record_id":2960,"organisation_id":1548,"relation":"funds","created_at":"2021-09-30T09:26:29.398Z","updated_at":"2021-09-30T09:26:29.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":1548,"name":"Ipsen, Boulogne-Billancourt, France","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":9200,"fairsharing_record_id":2960,"organisation_id":2312,"relation":"funds","created_at":"2022-04-11T12:07:21.501Z","updated_at":"2022-04-11T12:07:21.501Z","grant_id":null,"is_lead":false,"saved_state":{"id":2312,"name":"Pfizer, USA","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2961","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T12:23:51.000Z","updated_at":"2023-06-23T10:50:36.071Z","metadata":{"doi":"10.25504/FAIRsharing.58ee0e","name":"Novartis Clinical Trial Results Database","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"icm.phfr@novartis.com"}],"homepage":"https://www.novartis.com/ca-en/healthcare-professionals/novartis-clinical-trials","citations":[],"identifier":2961,"description":"Novartis launched the results website in 2005 becoming one of the first companies to publically post results from Phase 2b-4 interventional trials. The Novartis position evolved over time to include public disclosure of results from Phase 1- 2a interventional trials in patients.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.novartis.com/sites/novartis_com/files/clinical-trial-data-transparency.pdf","name":"Novartis Position on Clinical Study1 Transparency Clinical Study Registration, Results Reporting and Data Sharing","type":"Help documentation"},{"url":"https://www.novartis.com/clinicaltrials","name":"Learn more","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013312","name":"re3data:r3d100013312","portal":"re3data"}],"data_access_condition":{"url":"https://www.novctrd.com/#/clinicaltrialresults?category=MedicalCondition","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable","notes":"Only Novartis clinical trials results are stored"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001465","bsg-d001465"],"name":"FAIRsharing record for: Novartis Clinical Trial Results Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.58ee0e","doi":"10.25504/FAIRsharing.58ee0e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Novartis launched the results website in 2005 becoming one of the first companies to publically post results from Phase 2b-4 interventional trials. The Novartis position evolved over time to include public disclosure of results from Phase 1- 2a interventional trials in patients.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12361},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12914}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Virology","Biomedical Science","Epidemiology"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["France","Switzerland"],"publications":[],"licence_links":[{"licence_name":"Novartis Terms of Use","licence_id":1047,"licence_url":"https://www.novartis.com/ca-en/terms-use","link_id":3171,"relation":"applies_to_content"},{"licence_name":"Novartis Privacy Policy","licence_id":1048,"licence_url":"https://www.novartis.com/ca-en/privacy-policy","link_id":3172,"relation":"applies_to_content"}],"grants":[{"id":3884,"fairsharing_record_id":2961,"organisation_id":2194,"relation":"maintains","created_at":"2021-09-30T09:26:29.447Z","updated_at":"2021-09-30T09:26:29.447Z","grant_id":null,"is_lead":false,"saved_state":{"id":2194,"name":"Novartis","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2962","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T13:23:08.000Z","updated_at":"2023-12-15T10:28:54.429Z","metadata":{"doi":"10.25504/FAIRsharing.4ff837","name":"Lens ","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"support@lens.org"}],"homepage":"https://www.lens.org/","citations":[],"identifier":2962,"description":"The Lens is building an interactive tool for understanding the landscape of patent and research works in any domain, including human coronaviruses and COVID-19.","abbreviation":null,"data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://www.linkedin.com/company/lens-org/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.lens.org/lens/feedback?returnTo=/","name":"Feedback","type":"Contact form"},{"url":"feedback@lens.org","name":"General contact","type":"Support email"},{"url":"https://support.lens.org/","type":"Help documentation"},{"url":"https://support.lens.org/lens-video-tutorials/","name":"Video tutorials","type":"Help documentation"},{"url":"https://twitter.com/TheLensOrg","name":"@TheLensOrg","type":"Twitter"},{"url":"https://about.lens.org/category/release-notes/","name":"Release Notes","type":"Help documentation"},{"url":"https://about.lens.org/category/news/","type":"Blog/News"}],"year_creation":2020,"data_versioning":"not found","associated_tools":[{"url":"https://www.lens.org/lens/patcite","name":"PatCite"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013309","name":"re3data:r3d100013309","portal":"re3data"}],"data_access_condition":{"url":"https://www.lens.org/lens/accounts","type":"partially open","notes":"Search and analyse patents and scholarly works are open for free"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.lens.org/lens/accounts","type":"controlled","notes":"Data management is not free of charge"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001466","bsg-d001466"],"name":"FAIRsharing record for: Lens ","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4ff837","doi":"10.25504/FAIRsharing.4ff837","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Lens is building an interactive tool for understanding the landscape of patent and research works in any domain, including human coronaviruses and COVID-19.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12362},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12915}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Biomedical Science","Epidemiology"],"domains":["Patent","Disease"],"taxonomies":["Coronaviridae","Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Lens Terms of Use","licence_id":1031,"licence_url":"https://about.lens.org/policies/#termsuse","link_id":3071,"relation":"applies_to_content"},{"licence_name":"Lens Individual Commercial Use Agreement","licence_id":1032,"licence_url":"https://about.lens.org/individual-commercial-use/","link_id":3072,"relation":"applies_to_content"}],"grants":[{"id":3885,"fairsharing_record_id":2962,"organisation_id":2456,"relation":"funds","created_at":"2021-09-30T09:26:29.472Z","updated_at":"2021-09-30T09:26:29.472Z","grant_id":null,"is_lead":false,"saved_state":{"id":2456,"name":"Rockefeller Foundation, New-York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2963","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T13:49:28.000Z","updated_at":"2024-04-08T09:53:33.280Z","metadata":{"doi":"10.25504/FAIRsharing.7JCjD0","name":"Metabolic Atlas","status":"ready","contacts":[{"contact_name":"Mihail Anton","contact_email":"mihail.anton@chalmers.se","contact_orcid":"0000-0002-7753-9042"}],"homepage":"https://metabolicatlas.org/","citations":[{"doi":"10.1126/scisignal.aaz1482","pubmed_id":32209698,"publication_id":2910},{"doi":"10.1073/pnas.2102344118","pubmed_id":34282017,"publication_id":3245},{"doi":"10.1093/nar/gkac831","pubmed_id":null,"publication_id":3784}],"identifier":2963,"description":"Metabolic Atlas is a web platform integrating open-source genome scale metabolic models (GEMs) for easy browsing and analysis. The goal is to collect curated GEMs, and to bring these models closer to FAIR principles. The website provides visualisations and comparisons of the GEMs, and links to resources, algorithms, other databases, and more general software applications. Metabolic Atlas is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. In short, the vision is to create a one-stop-shop for everything metabolism related. ","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"contact@metabolicatlas.org","name":"contact@metabolicatlas.org","type":"Support email"},{"url":"https://github.com/SysBioChalmers/MetabolicAtlas/releases","name":"Github","type":"Github"},{"url":"https://metabolicatlas.org/documentation","name":"Documentation","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001467","bsg-d001467"],"name":"FAIRsharing record for: Metabolic Atlas","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7JCjD0","doi":"10.25504/FAIRsharing.7JCjD0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metabolic Atlas is a web platform integrating open-source genome scale metabolic models (GEMs) for easy browsing and analysis. The goal is to collect curated GEMs, and to bring these models closer to FAIR principles. The website provides visualisations and comparisons of the GEMs, and links to resources, algorithms, other databases, and more general software applications. Metabolic Atlas is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. In short, the vision is to create a one-stop-shop for everything metabolism related. ","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12916},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19554}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metagenomics","Clinical Chemistry","Metabolomics","Synthetic Biology","Systems Biology"],"domains":["Mathematical model","Model organism","Network model","Biomarker","Pathway model"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":["Genome Scale Metabolic Model"],"countries":["Denmark","Sweden","United Kingdom","United States"],"publications":[{"id":2910,"pubmed_id":32209698,"title":"An atlas of human metabolism.","year":2020,"url":"http://doi.org/eaaz1482","authors":"Robinson JL,Kocabas P,Wang H,Cholley PE,Cook D,Nilsson A,Anton M,Ferreira R,Domenzain I,Billa V,Limeta A,Hedin A,Gustafsson J,Kerkhoven EJ,Svensson LT,Palsson BO,Mardinoglu A,Hansson L,Uhlen M,Nielsen J","journal":"Sci Signal","doi":"10.1126/scisignal.aaz1482","created_at":"2021-09-30T08:27:58.350Z","updated_at":"2021-09-30T08:27:58.350Z"},{"id":3245,"pubmed_id":34282017,"title":"Genome-scale metabolic network reconstruction of model animals as a platform for translational research","year":2021,"url":"http://dx.doi.org/10.1073/pnas.2102344118","authors":"Wang, Hao; Robinson, Jonathan L.; Kocabas, Pinar; Gustafsson, Johan; Anton, Mihail; Cholley, Pierre-Etienne; Huang, Shan; Gobom, Johan; Svensson, Thomas; Uhlen, Mattias; Zetterberg, Henrik; Nielsen, Jens; ","journal":"Proc Natl Acad Sci USA","doi":"10.1073/pnas.2102344118","created_at":"2022-03-03T07:27:33.017Z","updated_at":"2022-03-03T07:27:33.017Z"},{"id":3246,"pubmed_id":null,"title":"Human metabolic atlas: an online resource for human metabolism","year":2015,"url":"http://dx.doi.org/10.1093/database/bav068","authors":"Pornputtapong, Natapol; Nookaew, Intawat; Nielsen, Jens; ","journal":"Database","doi":"10.1093/database/bav068","created_at":"2022-03-03T07:39:38.631Z","updated_at":"2022-03-03T07:39:38.631Z"},{"id":3784,"pubmed_id":null,"title":"GotEnzymes: an extensive database of enzyme parameter predictions","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac831","authors":"Li, Feiran; Chen, Yu; Anton, Mihail; Nielsen, Jens; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac831","created_at":"2023-02-06T12:08:02.005Z","updated_at":"2023-02-06T12:08:02.005Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3578,"relation":"applies_to_content"}],"grants":[{"id":8901,"fairsharing_record_id":2963,"organisation_id":491,"relation":"collaborates_on","created_at":"2022-03-03T07:37:03.722Z","updated_at":"2022-03-03T07:37:03.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":491,"name":"Chalmers University of Technology, Gothenburg, Sweden","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":8903,"fairsharing_record_id":2963,"organisation_id":2795,"relation":"funds","created_at":"2022-03-03T07:42:31.610Z","updated_at":"2022-03-03T07:42:31.610Z","grant_id":null,"is_lead":false,"saved_state":{"id":2795,"name":"The Knut and Alice Wallenberg Foundation","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":8902,"fairsharing_record_id":2963,"organisation_id":1952,"relation":"maintains","created_at":"2022-03-03T07:37:03.790Z","updated_at":"2022-03-03T07:37:03.790Z","grant_id":null,"is_lead":true,"saved_state":{"id":1952,"name":"National Bioinformatics Structure Sweden, Uppsala, Sweden","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBZUT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--461a8c7db9a83566df1999899af0900b2edf8bd3/metAtlas_logo.png?disposition=inline","exhaustive_licences":true}},{"id":"2964","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T14:04:36.000Z","updated_at":"2022-07-20T10:24:54.309Z","metadata":{"name":"Influenza Life Cycle pathway map","status":"deprecated","contacts":[{"contact_name":"Yukiko Matsuoka","contact_email":"myukiko@sbi.jp","contact_orcid":"0000-0002-5171-9096"}],"homepage":"https://www.influenza-x.org/","citations":[],"identifier":2964,"description":"To understand the mechanisms of influenza A viral replication and the host responses, we took the literature-based manual curation approach to construct a comprehensive influenza virus-host respoce map. The infuenza A virus (IAV) comprehensive pathway map (FluMap) was constructed by manual curation with the literature as well as various pathway databases such as Reactome, KEGG and Panther Pathway database.","abbreviation":"FluMap","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.influenza-x.org/flumap/About.html","name":"About","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2022-01-27","deprecation_reason":"This resource no longer is being served by the listed homepage. No alternative homepage can be found. Please get in touch with us if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001468","bsg-d001468"],"name":"FAIRsharing record for: Influenza Life Cycle pathway map","abbreviation":"FluMap","url":"https://fairsharing.org/fairsharing_records/2964","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: To understand the mechanisms of influenza A viral replication and the host responses, we took the literature-based manual curation approach to construct a comprehensive influenza virus-host respoce map. The infuenza A virus (IAV) comprehensive pathway map (FluMap) was constructed by manual curation with the literature as well as various pathway databases such as Reactome, KEGG and Panther Pathway database.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12917}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Life Science","Epidemiology"],"domains":["Computational biological predictions","Disease","Literature curation"],"taxonomies":["Influenza virus"],"user_defined_tags":["Drug Target"],"countries":["Japan"],"publications":[{"id":2888,"pubmed_id":24088197,"title":"A comprehensive map of the influenza A virus replication cycle.","year":2013,"url":"http://doi.org/10.1186/1752-0509-7-97","authors":"Matsuoka Y,Matsumae H,Katoh M,Eisfeld AJ,Neumann G,Hase T,Ghosh S,Shoemaker JE,Lopes TJ,Watanabe T,Watanabe S,Fukuyama S,Kitano H,Kawaoka Y","journal":"BMC Syst Biol","doi":"10.1186/1752-0509-7-97","created_at":"2021-09-30T08:27:55.649Z","updated_at":"2021-09-30T08:27:55.649Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":487,"relation":"undefined"}],"grants":[{"id":3886,"fairsharing_record_id":2964,"organisation_id":2694,"relation":"maintains","created_at":"2021-09-30T09:26:29.497Z","updated_at":"2021-09-30T09:26:29.497Z","grant_id":null,"is_lead":false,"saved_state":{"id":2694,"name":"Systems Biology Institute, Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2966","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T22:22:02.000Z","updated_at":"2023-12-15T10:29:13.861Z","metadata":{"doi":"10.25504/FAIRsharing.a971f7","name":"myExperiment","status":"ready","contacts":[],"homepage":"https://www.myexperiment.org/","citations":[{"doi":"10.1093/nar/gkq429","pubmed_id":20501605,"publication_id":2897}],"identifier":2966,"description":"myExperiment is a collaborative environment where scientists can safely publish their workflows and in silico experiments, share them with groups and find those of others. Workflows, other digital objects and bundles (called Packs) can now be swapped, sorted and searched like photos and videos on the Web.","abbreviation":"myExperiment","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.myexperiment.org/feedback","type":"Contact form"},{"url":"https://lists.nongnu.org/mailman/listinfo/myexperiment-discuss","name":"Mailing list","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010473","name":"re3data:r3d100010473","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001795","name":"SciCrunch:RRID:SCR_001795","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001470","bsg-d001470"],"name":"FAIRsharing record for: myExperiment","abbreviation":"myExperiment","url":"https://fairsharing.org/10.25504/FAIRsharing.a971f7","doi":"10.25504/FAIRsharing.a971f7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: myExperiment is a collaborative environment where scientists can safely publish their workflows and in silico experiments, share them with groups and find those of others. Workflows, other digital objects and bundles (called Packs) can now be swapped, sorted and searched like photos and videos on the Web.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12265}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics"],"domains":["Workflow"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2897,"pubmed_id":20501605,"title":"myExperiment: a repository and social network for the sharing of bioinformatics workflows.","year":2010,"url":"http://doi.org/10.1093/nar/gkq429","authors":"Goble CA,Bhagat J,Aleksejevs S,Cruickshank D,Michaelides D,Newman D,Borkum M,Bechhofer S,Roos M,Li P,De Roure D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq429","created_at":"2021-09-30T08:27:56.688Z","updated_at":"2021-09-30T11:29:48.338Z"}],"licence_links":[{"licence_name":"myExperiment Privacy Policy","licence_id":903,"licence_url":"https://www.myexperiment.org/privacy","link_id":2574,"relation":"applies_to_content"}],"grants":[{"id":3890,"fairsharing_record_id":2966,"organisation_id":3112,"relation":"maintains","created_at":"2021-09-30T09:26:29.603Z","updated_at":"2021-09-30T09:26:29.603Z","grant_id":null,"is_lead":false,"saved_state":{"id":3112,"name":"University of Oxford, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3892,"fairsharing_record_id":2966,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:29.687Z","updated_at":"2021-09-30T09:29:07.237Z","grant_id":102,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"270137","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8028,"fairsharing_record_id":2966,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:29.545Z","updated_at":"2021-09-30T09:30:29.604Z","grant_id":734,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"283359","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8056,"fairsharing_record_id":2966,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:30:41.203Z","updated_at":"2021-09-30T09:30:41.259Z","grant_id":822,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"270192","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3889,"fairsharing_record_id":2966,"organisation_id":3122,"relation":"maintains","created_at":"2021-09-30T09:26:29.572Z","updated_at":"2021-09-30T09:26:29.572Z","grant_id":null,"is_lead":false,"saved_state":{"id":3122,"name":"University of Southampton, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3891,"fairsharing_record_id":2966,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:26:29.645Z","updated_at":"2021-09-30T09:26:29.645Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2967","type":"fairsharing_records","attributes":{"created_at":"2020-04-27T14:46:50.000Z","updated_at":"2023-06-23T11:00:55.749Z","metadata":{"doi":"10.25504/FAIRsharing.6f54c5","name":"International Human Epigenome Consortium Data Portal","status":"ready","contacts":[{"contact_name":"IHEC Data Portal Helpdesk","contact_email":"info@epigenomesportal.ca"}],"homepage":"https://epigenomesportal.ca/ihec/help.html","citations":[{"doi":"10.1016/j.cels.2016.10.019","pubmed_id":27863956,"publication_id":2905}],"identifier":2967,"description":"The International Human Epigenome Consortium (IHEC) coordinates the production of reference epigenome maps through the characterization of the regulome, methylome, and transcriptome from a wide range of tissues and cell types. The IHEC Data Portal provides discovery, visualization, analysis, download, and sharing of epigenomics data, is the official source to navigate through IHEC datasets, and represents a strategy for unifying the distributed data produced by international research consortia.","abbreviation":"IHEC Data Portal","data_curation":{"type":"none"},"support_links":[{"url":"https://epigenomesportal.ca/ihec/help.html","name":"Help","type":"Help documentation"},{"url":"https://epigenomesportal.ca/ihec/community.html","name":"Community","type":"Help documentation"},{"url":"https://epigenomesportal.ca/ihec/about.html","name":"About","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013991","name":"re3data:r3d100013991","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014625","name":"SciCrunch:RRID:SCR_014625","portal":"SciCrunch"}],"data_access_condition":{"url":"https://epigenomesportal.ca/edcc/data_access.html","type":"partially open","notes":"Access to raw data is controlled."},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001471","bsg-d001471"],"name":"FAIRsharing record for: International Human Epigenome Consortium Data Portal","abbreviation":"IHEC Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.6f54c5","doi":"10.25504/FAIRsharing.6f54c5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The International Human Epigenome Consortium (IHEC) coordinates the production of reference epigenome maps through the characterization of the regulome, methylome, and transcriptome from a wide range of tissues and cell types. The IHEC Data Portal provides discovery, visualization, analysis, download, and sharing of epigenomics data, is the official source to navigate through IHEC datasets, and represents a strategy for unifying the distributed data produced by international research consortia.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11133},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12363},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12919}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Epigenomics","Epigenetics"],"domains":["Expression data"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":2905,"pubmed_id":27863956,"title":"The International Human Epigenome Consortium Data Portal.","year":2016,"url":"http://doi.org/S2405-4712(16)30362-3","authors":"Bujold D,Morais DAL,Gauthier C,Cote C,Caron M,Kwan T,Chen KC,Laperle J,Markovits AN,Pastinen T,Caron B,Veilleux A,Jacques PE,Bourque G","journal":"Cell Syst","doi":"10.1016/j.cels.2016.10.019","created_at":"2021-09-30T08:27:57.716Z","updated_at":"2021-09-30T08:27:57.716Z"}],"licence_links":[{"licence_name":"IHEC Data Portal Terms and Conditions","licence_id":429,"licence_url":"https://epigenomesportal.ca/ihec/about.html#terms","link_id":876,"relation":"undefined"}],"grants":[{"id":3893,"fairsharing_record_id":2967,"organisation_id":1494,"relation":"maintains","created_at":"2021-09-30T09:26:29.724Z","updated_at":"2021-09-30T09:26:29.724Z","grant_id":null,"is_lead":true,"saved_state":{"id":1494,"name":"International Human Epigenome Consortium (IHEC)","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2968","type":"fairsharing_records","attributes":{"created_at":"2020-04-30T15:18:38.000Z","updated_at":"2023-06-22T17:42:02.976Z","metadata":{"doi":"10.25504/FAIRsharing.cF5x1V","name":"Infectious Diseases Data Observatory","status":"ready","contacts":[{"contact_name":"Professor Philippe Guérin","contact_email":"info@iddo.org","contact_orcid":"0000-0002-6333-0109"}],"homepage":"https://www.iddo.org/","identifier":2968,"description":"The Infectious Diseases Data Observatory (IDDO) assembles clinical, laboratory and epidemiological data on a collaborative platform to be shared with the research and humanitarian communities. The data are analysed to generate reliable evidence and innovative resources that enable research-driven responses to the major challenges of emerging and neglected infections. Data is organized into research themes, with both submitters storing and requesters asking for data via the central IDDO platform. Certain data (listed in data inventories or available via various portals) is available publicly, while the rest must be applied and permission received for.","abbreviation":"IDDO","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.linkedin.com/company/iddo---infectious-diseases-data-observatory/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.iddo.org/news","name":"News","type":"Blog/News"},{"url":"comms@iddo.org","name":"Communications Team","type":"Support email"},{"url":"https://iddo.us2.list-manage.com/subscribe?u=fd49ccbdae5a59ea957607de1\u0026id=04f4ad3433","name":"IDDO newsletter","type":"Mailing list"},{"url":"https://www.iddo.org/research-themes","name":"Research Themes","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/ebola","name":"Ebola Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/covid-19","name":"COVID 19 Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/malaria","name":"Malaria Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/medicine-quality","name":"Medicine Quality Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/antimicrobial-resistance","name":"Antimicrobial Resistance Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/schistosomiasis-sths","name":"Schistosomiasis and STHs Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/chagas-disease","name":"Chagas Disease Theme","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/prospective-disease-platforms","name":"Prospective Disease Platforms Theme","type":"Help documentation"},{"url":"https://www.iddo.org/tools-and-resources","name":"Tools and Resources","type":"Help documentation"},{"url":"https://www.iddo.org/about-us/our-work","name":"About","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UC71fat27jtH6sAQttB4m76A","name":"Youtube","type":"Video"},{"url":"https://www.iddo.org/document/iddo-data-access-journey","name":"IDDO Data Access Journey","type":"Help documentation"},{"url":"https://www.iddo.org/research-themes/visceral-leishmaniasis","name":"VL Theme","type":"Help documentation"},{"url":"https://twitter.com/IDDOnews","name":"@IDDOnews","type":"Twitter"}],"year_creation":2016,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013358","name":"re3data:r3d100013358","portal":"re3data"}],"data_access_condition":{"url":"https://www.iddo.org/data-sharing/accessing-data","type":"controlled","notes":"The data are accessible on request, after validation of the request"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.iddo.org/data-sharing/contributing-data","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001473","bsg-d001473"],"name":"FAIRsharing record for: Infectious Diseases Data Observatory","abbreviation":"IDDO","url":"https://fairsharing.org/10.25504/FAIRsharing.cF5x1V","doi":"10.25504/FAIRsharing.cF5x1V","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Infectious Diseases Data Observatory (IDDO) assembles clinical, laboratory and epidemiological data on a collaborative platform to be shared with the research and humanitarian communities. The data are analysed to generate reliable evidence and innovative resources that enable research-driven responses to the major challenges of emerging and neglected infections. Data is organized into research themes, with both submitters storing and requesters asking for data via the central IDDO platform. Certain data (listed in data inventories or available via various portals) is available publicly, while the rest must be applied and permission received for.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12364},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12961}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Clinical Studies","Public Health","Virology","Biomedical Science","Epidemiology"],"domains":["Antimicrobial","Malaria","Infection","Disease"],"taxonomies":["Coronaviridae","ebolavirus","Homo sapiens","Leishmania","Plasmodium","Plasmodium falciparum","Plasmodium vivax","Schistosoma","Trypanosoma cruzi"],"user_defined_tags":["Antimicrobial resistance","COVID-19"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"IDDO Data Access","licence_id":419,"licence_url":"https://www.iddo.org/document/iddo-data-access-guidelines","link_id":257,"relation":"undefined"},{"licence_name":"IDDO Privacy Notice","licence_id":420,"licence_url":"https://www.iddo.org/privacy-notice","link_id":248,"relation":"undefined"},{"licence_name":"IDDO Terms of Use","licence_id":421,"licence_url":"https://www.iddo.org/terms-of-use","link_id":254,"relation":"undefined"}],"grants":[{"id":3894,"fairsharing_record_id":2968,"organisation_id":3258,"relation":"maintains","created_at":"2021-09-30T09:26:29.757Z","updated_at":"2021-09-30T09:26:29.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":3258,"name":"WorldWide Antimalarial Resistance Network","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3897,"fairsharing_record_id":2968,"organisation_id":1340,"relation":"maintains","created_at":"2021-09-30T09:26:29.843Z","updated_at":"2021-09-30T09:26:29.843Z","grant_id":null,"is_lead":true,"saved_state":{"id":1340,"name":"Infectious Diseases Data Observatory (IDDO), Oxford, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3895,"fairsharing_record_id":2968,"organisation_id":472,"relation":"maintains","created_at":"2021-09-30T09:26:29.781Z","updated_at":"2021-09-30T09:26:29.781Z","grant_id":null,"is_lead":false,"saved_state":{"id":472,"name":"Centre for Tropical Medicine and Global Health, Oxford, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3896,"fairsharing_record_id":2968,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:26:29.811Z","updated_at":"2021-09-30T09:26:29.811Z","grant_id":null,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2939","type":"fairsharing_records","attributes":{"created_at":"2020-04-13T09:04:26.000Z","updated_at":"2024-06-27T12:31:49.536Z","metadata":{"doi":"10.25504/FAIRsharing.81e8a7","name":"WFCC Global Catalogue of Microorganisms","status":"ready","contacts":[{"contact_name":"Juncai Ma","contact_email":"ma@im.ac.cn","contact_orcid":"0000-0002-2405-2484"}],"homepage":"http://gcm.wdcm.org/","citations":[],"identifier":2939,"description":"The WFCC Global Catalogue of Microorganisms (GCM) system is designed to help microorganism culture collections to manage, disseminate and share the information related to their holdings. It also provides a uniform interface for the scientific and industrial communities to access the comprehensive microbial resource information.","abbreviation":"GCM","data_curation":{"type":"not found"},"support_links":[{"url":"wulh@im.ac.cn","name":"Linhuan Wu","type":"Support email"},{"url":"philippe.desmeth@belspo.be","name":"Philippe Desmeth","type":"Support email"}],"year_creation":2012,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010696","name":"re3data:r3d100010696","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_016460","name":"SciCrunch:RRID:SCR_016460","portal":"SciCrunch"}],"data_access_condition":{"url":"https://gcm.wdcm.org/datausagepolicy","type":"partially open","notes":"Permission from the GCM team is required, in some cases."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://gcm.wdcm.org/joinus/","type":"controlled","notes":"Contact GCM administrator for confirmation."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001443","bsg-d001443"],"name":"FAIRsharing record for: WFCC Global Catalogue of Microorganisms","abbreviation":"GCM","url":"https://fairsharing.org/10.25504/FAIRsharing.81e8a7","doi":"10.25504/FAIRsharing.81e8a7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The WFCC Global Catalogue of Microorganisms (GCM) system is designed to help microorganism culture collections to manage, disseminate and share the information related to their holdings. It also provides a uniform interface for the scientific and industrial communities to access the comprehensive microbial resource information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Virology","Molecular Microbiology","Life Science","Microbiology"],"domains":[],"taxonomies":["Algae","Archaea","Bacteria","Fungi","Protozoa","Viruses"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":2843,"pubmed_id":24377417,"title":"Global catalogue of microorganisms (gcm): a comprehensive database and information retrieval, analysis, and visualization system for microbial resources.","year":2014,"url":"http://doi.org/10.1186/1471-2164-14-933","authors":"Wu L,Sun Q,Sugawara H,Yang S,Zhou Y,McCluskey K,Vasilenko A,Suzuki K,Ohkuma M,Lee Y,Robert V,Ingsriswang S,Guissart F,Philippe D,Ma J","journal":"BMC Genomics","doi":"10.1186/1471-2164-14-933","created_at":"2021-09-30T08:27:49.723Z","updated_at":"2021-09-30T08:27:49.723Z"},{"id":2844,"pubmed_id":29718202,"title":"The global catalogue of microorganisms 10K type strain sequencing project: closing the genomic gaps for the validly published prokaryotic and fungi species.","year":2018,"url":"http://doi.org/10.1093/gigascience/giy026","authors":"Wu L,McCluskey K,Desmeth P,Liu S,Hideaki S,Yin Y,Moriya O,Itoh T,Kim CY,Lee JS,Zhou Y,Kawasaki H,Hazbon MH,Robert V,Boekhout T,Lima N,Evtushenko L,Boundy-Mills K,Bunk B,Moore ERB,Eurwilaichitr L,Ingsriswang S,Shah H,Yao S,Jin T,Huang J,Shi W,Sun Q,Fan G,Li W,Li X,Kurtboke I,Ma J","journal":"Gigascience","doi":"10.1093/gigascience/giy026","created_at":"2021-09-30T08:27:49.891Z","updated_at":"2021-09-30T08:27:49.891Z"},{"id":2845,"pubmed_id":30832757,"title":"The Global Catalogue of Microorganisms (GCM) 10K type strain sequencing project: providing services to taxonomists for standard genome sequencing and annotation.","year":2019,"url":"http://doi.org/10.1099/ijsem.0.003276","authors":"Wu L,Ma J","journal":"Int J Syst Evol Microbiol","doi":"10.1099/ijsem.0.003276","created_at":"2021-09-30T08:27:50.048Z","updated_at":"2021-09-30T08:27:50.048Z"},{"id":3891,"pubmed_id":null,"title":"gcType: a high-quality type strain genome database for microbial phylogenetic and functional research","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa957","authors":"Shi, Wenyu; Sun, Qinglan; Fan, Guomei; Hideaki, Sugawara; Moriya, Ohkuma; Itoh, Takashi; Zhou, Yuguang; Cai, Man; Kim, Song-Gun; Lee, Jung-Sook; Sedlacek, Ivo; Arahal, David R; Lucena, Teresa; Kawasaki, Hiroko; Evtushenko, Lyudmila; Weir, Bevan S; Alexander, Sarah; Dénes, Dlauchy; Tanasupawat, Somboon; Eurwilaichitr, Lily; Ingsriswang, Supawadee; Gomez-Gil, Bruno; Hazbón, Manzour H; Riojas, Marco A; Suwannachart, Chatrudee; Yao, Su; Vandamme, Peter; Peng, Fang; Chen, Zenghui; Liu, Dongmei; Sun, Xiuqiang; Zhang, Xinjiao; Zhou, Yuanchun; Meng, Zhen; Wu, Linhuan; Ma, Juncai; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa957","created_at":"2023-06-06T08:46:49.798Z","updated_at":"2023-06-06T08:46:49.798Z"}],"licence_links":[{"licence_name":"GCM Data Usage Policy","licence_id":947,"licence_url":"https://gcm.wdcm.org/datausagepolicy","link_id":2737,"relation":"applies_to_content"}],"grants":[{"id":3792,"fairsharing_record_id":2939,"organisation_id":3244,"relation":"maintains","created_at":"2021-09-30T09:26:26.586Z","updated_at":"2021-09-30T09:26:26.586Z","grant_id":null,"is_lead":false,"saved_state":{"id":3244,"name":"Word Data Center for Microorganisms, Information Network Center, Institute of Microbiology, Chinese Academy of Sciences","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3791,"fairsharing_record_id":2939,"organisation_id":2738,"relation":"funds","created_at":"2021-09-30T09:26:26.562Z","updated_at":"2021-09-30T09:32:49.538Z","grant_id":1793,"is_lead":false,"saved_state":{"id":2738,"name":"The 13th Five-year Informatization Plan of Chinese Academy of Sciences","grant":"XXH13505","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8476,"fairsharing_record_id":2939,"organisation_id":2738,"relation":"funds","created_at":"2021-09-30T09:32:49.728Z","updated_at":"2021-09-30T09:32:49.771Z","grant_id":1795,"is_lead":false,"saved_state":{"id":2738,"name":"The 13th Five-year Informatization Plan of Chinese Academy of Sciences","grant":"XXH13506","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9169,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T12:07:19.127Z","updated_at":"2022-04-11T12:07:19.142Z","grant_id":1695,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"KFZD-SW-219","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9171,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2022-04-11T12:07:19.276Z","updated_at":"2022-04-11T12:07:19.291Z","grant_id":1274,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"XDA19050301","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9199,"fairsharing_record_id":2939,"organisation_id":2053,"relation":"funds","created_at":"2022-04-11T12:07:21.437Z","updated_at":"2022-04-11T12:07:21.450Z","grant_id":1536,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China","grant":"31701157","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9273,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:26.986Z","updated_at":"2022-04-11T12:07:27.001Z","grant_id":614,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2017YFD0400302","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9274,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.061Z","updated_at":"2022-04-11T12:07:27.073Z","grant_id":1607,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2017YFC1201202","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9276,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.197Z","updated_at":"2022-04-11T12:07:27.205Z","grant_id":100,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2016YFC1200801","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9278,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.290Z","updated_at":"2022-04-11T12:07:27.299Z","grant_id":274,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2016YFC0901702","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11843,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2024-06-26T12:25:49.691Z","updated_at":"2024-06-26T12:25:49.691Z","grant_id":978,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"153211KYSB20160029","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":9279,"fairsharing_record_id":2939,"organisation_id":1872,"relation":"funds","created_at":"2022-04-11T12:07:27.360Z","updated_at":"2022-04-11T12:07:27.374Z","grant_id":953,"is_lead":false,"saved_state":{"id":1872,"name":"Ministry of Science and Technology of the People´s Republic of China","grant":"2016YFC1201303","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11844,"fairsharing_record_id":2939,"organisation_id":514,"relation":"funds","created_at":"2024-06-26T12:25:49.749Z","updated_at":"2024-06-26T12:25:49.749Z","grant_id":1699,"is_lead":false,"saved_state":{"id":514,"name":"Chinese Academy of Sciences (CAS), China","grant":"153211KYSB20150010","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2940","type":"fairsharing_records","attributes":{"created_at":"2020-04-13T13:10:18.000Z","updated_at":"2023-12-15T10:32:04.018Z","metadata":{"name":"European Data Portal","status":"ready","homepage":"https://www.europeandataportal.eu/en","identifier":2940,"description":"The European Data Portal harvests the metadata of Public Sector Information available on public data portals across European countries. Information regarding the provision of data and the benefits of re-using data is also included.","abbreviation":"EDP","data_curation":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/images/media/image3.jpeg","type":"manual/automated"},"support_links":[{"url":"https://www.linkedin.com/groups/8428984/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.facebook.com/EuropeanDataPortal","name":"Facebook","type":"Facebook"},{"url":"https://www.europeandataportal.eu/en/feedback/form","type":"Contact form"},{"url":"https://www.europeandataportal.eu/en/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.europeandataportal.eu/en/newsletter","name":"Newsletter","type":"Mailing list"},{"url":"https://www.youtube.com/channel/UCWRxmFRYBSQyUe6GFOOrxFA","name":"Webinar","type":"Video"},{"url":"https://www.europeandataportal.eu/en/about/documentation","type":"Help documentation"},{"url":"https://twitter.com/EU_DataPortal","type":"Twitter"}],"year_creation":2014,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012199","name":"re3data:r3d100012199","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/data-provider-interface/","type":"controlled","notes":"Data can be deposited by data providers of data originating from various EU bodies and technical staff involved in the maintenance and development of data.europa.eu."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001444","bsg-d001444"],"name":"FAIRsharing record for: European Data Portal","abbreviation":"EDP","url":"https://fairsharing.org/fairsharing_records/2940","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The European Data Portal harvests the metadata of Public Sector Information available on public data portals across European countries. Information regarding the provision of data and the benefits of re-using data is also included.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12355},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12902}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economic and Social History","Health Science","Humanities and Social Science","Virology","Subject Agnostic","Epidemiology"],"domains":[],"taxonomies":[],"user_defined_tags":["COVID-19"],"countries":["European Union"],"publications":[],"licence_links":[],"grants":[{"id":3794,"fairsharing_record_id":2940,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:26.659Z","updated_at":"2021-09-30T09:26:26.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3793,"fairsharing_record_id":2940,"organisation_id":2381,"relation":"maintains","created_at":"2021-09-30T09:26:26.622Z","updated_at":"2021-09-30T09:26:26.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":2381,"name":"Publications Office of the European Union","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2941","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T09:02:15.000Z","updated_at":"2024-05-09T09:28:43.738Z","metadata":{"doi":"10.25504/FAIRsharing.355cdf","name":"Facebook Data for Good","status":"ready","contacts":[{"contact_email":"press@fb.com"}],"homepage":"https://dataforgood.fb.com/","citations":[],"identifier":2941,"description":"Through our Data for Good partnerships, Facebook works with many of the world's leading humanitarian organizations to help them act more quickly and reach more people during natural disasters and disease outbreaks data for disaster response, health, connectivity, energy access, and economic growth.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2017,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013305","name":"re3data:r3d100013305","portal":"re3data"}],"data_access_condition":{"type":"controlled","notes":"Some data require an access request"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001445","bsg-d001445"],"name":"FAIRsharing record for: Facebook Data for Good","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.355cdf","doi":"10.25504/FAIRsharing.355cdf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Through our Data for Good partnerships, Facebook works with many of the world's leading humanitarian organizations to help them act more quickly and reach more people during natural disasters and disease outbreaks data for disaster response, health, connectivity, energy access, and economic growth.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12356},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12903}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Demographics","Social Science","Virology","Epidemiology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19","Dashboard"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":3796,"fairsharing_record_id":2941,"organisation_id":1278,"relation":"maintains","created_at":"2021-09-30T09:26:26.739Z","updated_at":"2021-09-30T09:26:26.739Z","grant_id":null,"is_lead":false,"saved_state":{"id":1278,"name":"Humanitarian OpenStreetMap Team (HOT)","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3799,"fairsharing_record_id":2941,"organisation_id":1471,"relation":"maintains","created_at":"2021-09-30T09:26:26.820Z","updated_at":"2021-09-30T09:26:26.820Z","grant_id":null,"is_lead":false,"saved_state":{"id":1471,"name":"Internal Displacement Monitoring Centre (IDMC)","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3802,"fairsharing_record_id":2941,"organisation_id":2131,"relation":"maintains","created_at":"2021-09-30T09:26:26.896Z","updated_at":"2021-09-30T09:26:26.896Z","grant_id":null,"is_lead":false,"saved_state":{"id":2131,"name":"NetHope, Fairfax, VA, United States","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3795,"fairsharing_record_id":2941,"organisation_id":980,"relation":"maintains","created_at":"2021-09-30T09:26:26.702Z","updated_at":"2021-09-30T09:26:26.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":980,"name":"Facebook, Menlo Park, California, United State","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":3798,"fairsharing_record_id":2941,"organisation_id":493,"relation":"maintains","created_at":"2021-09-30T09:26:26.795Z","updated_at":"2021-09-30T09:26:26.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":493,"name":"Chapman University, Orange, CA, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3800,"fairsharing_record_id":2941,"organisation_id":1215,"relation":"maintains","created_at":"2021-09-30T09:26:26.845Z","updated_at":"2021-09-30T09:26:26.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":1215,"name":"Harvard T.H. Chan School of Public Health, Boston, MA, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3801,"fairsharing_record_id":2941,"organisation_id":765,"relation":"maintains","created_at":"2021-09-30T09:26:26.869Z","updated_at":"2021-09-30T09:26:26.869Z","grant_id":null,"is_lead":false,"saved_state":{"id":765,"name":"Direct Relief, Santa Barbara, CA, United States","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}},{"id":3803,"fairsharing_record_id":2941,"organisation_id":1932,"relation":"maintains","created_at":"2021-09-30T09:26:26.920Z","updated_at":"2021-09-30T09:26:26.920Z","grant_id":null,"is_lead":false,"saved_state":{"id":1932,"name":"NAPSG Foundation, Washington, DC, United States","types":["Charitable foundation"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2943","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T12:25:19.000Z","updated_at":"2023-03-15T07:59:33.544Z","metadata":{"doi":"10.25504/FAIRsharing.mKrBDb","name":"Rice Seed Nuclear Protein Database","status":"deprecated","contacts":[{"contact_name":"Akhilesh K Tyagi","contact_email":"akhilesh@genomeindia.org","contact_orcid":"0000-0001-9096-0711"}],"homepage":"http://pmb.du.ac.in/rsnpdb","citations":[],"identifier":2943,"description":"RSNP-DB is a database is a compilation of nuclear localization prediction confidence of the seed-expressed proteins in rice.","abbreviation":"RSNP-DB","data_curation":{"type":"not found"},"year_creation":2020,"data_versioning":"not found","deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001447","bsg-d001447"],"name":"FAIRsharing record for: Rice Seed Nuclear Protein Database","abbreviation":"RSNP-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.mKrBDb","doi":"10.25504/FAIRsharing.mKrBDb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RSNP-DB is a database is a compilation of nuclear localization prediction confidence of the seed-expressed proteins in rice.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Protein localization","Cellular localization"],"taxonomies":["Oryza sativa"],"user_defined_tags":[],"countries":["India"],"publications":[],"licence_links":[],"grants":[{"id":3806,"fairsharing_record_id":2943,"organisation_id":3048,"relation":"maintains","created_at":"2021-09-30T09:26:27.035Z","updated_at":"2021-09-30T09:26:27.035Z","grant_id":null,"is_lead":true,"saved_state":{"id":3048,"name":"University of Delhi, India","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2947","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T15:55:21.000Z","updated_at":"2024-04-29T10:52:15.698Z","metadata":{"doi":"10.25504/FAIRsharing.d7b57d","name":"data.europa.eu","status":"ready","contacts":[{"contact_name":"data.europa.eu Team","contact_email":"OP-DATA-EUROPA-EU@publications.europa.eu","contact_orcid":null}],"homepage":"https://data.europa.eu/en","citations":[],"identifier":2947,"description":"data.europa.eu (DEU), the official portal for European data, gives you access to open data published by EU institutions and bodies. All the data you can find via this catalogue are free to use and reuse for commercial or non-commercial purposes.","abbreviation":"DEU","data_curation":{"type":"none"},"support_links":[{"url":"https://twitter.com/ECDC_EU","type":"Twitter"},{"url":"https://data.europa.eu/en/contact-us","name":"General Contact","type":"Contact form"},{"url":"https://data.europa.eu/catalogue-statistics/CurrentState?locale=en","name":"Statistics","type":"Other"},{"url":"https://dataeuropa.gitlab.io/data-provider-manual/","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://data.europa.eu/euodp/en/apps","name":"List of applications developed by the European Institutions, agencies and other bodies (identified by the EU flag) as well as third parties"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011728","name":"re3data:r3d100011728","portal":"re3data"}],"data_access_condition":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/#better-access-enhanced-transparency-and-use","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://dataeuropa.gitlab.io/data-provider-manual/","type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001451","bsg-d001451"],"name":"FAIRsharing record for: data.europa.eu","abbreviation":"DEU","url":"https://fairsharing.org/10.25504/FAIRsharing.d7b57d","doi":"10.25504/FAIRsharing.d7b57d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: data.europa.eu (DEU), the official portal for European data, gives you access to open data published by EU institutions and bodies. All the data you can find via this catalogue are free to use and reuse for commercial or non-commercial purposes.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12358},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12908}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Subject Agnostic"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3190,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3189,"relation":"applies_to_content"}],"grants":[{"id":3814,"fairsharing_record_id":2947,"organisation_id":915,"relation":"maintains","created_at":"2021-09-30T09:26:27.363Z","updated_at":"2021-09-30T09:26:27.363Z","grant_id":null,"is_lead":false,"saved_state":{"id":915,"name":"European Commission","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2949","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T08:37:18.000Z","updated_at":"2023-12-15T10:28:44.301Z","metadata":{"doi":"10.25504/FAIRsharing.pFZBRP","name":"EMODnet Bathymetry","status":"ready","contacts":[],"homepage":"https://www.emodnet-bathymetry.eu/","citations":[],"identifier":2949,"description":"EMODnet Bathymetry provides a service for viewing and downloading a harmonised Digital Terrain Model (DTM) for the European sea regions that is generated by the EMODnet Bathymetry partnership on the basis of an increasing number of bathymetric data sets. These are managed as survey data sets and composite DTMs by data providers from government and research. Services for discovery and requesting access to these data sets are provided as well.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://www.emodnet-bathymetry.eu/news","name":"News","type":"Blog/News"},{"url":"https://www.emodnet-bathymetry.eu/contact-us","name":"Contact Form","type":"Contact form"},{"url":"https://www.emodnet-bathymetry.eu/helpdesk","name":"Helpdesk","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/metadata-data","name":"Metadata \u0026 Data","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/data-products","name":"Data Products","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/approach","name":"Approach","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/promotion","name":"Promotional Material","type":"Help documentation"},{"url":"https://www.emodnet-bathymetry.eu/partners","name":"Bathymetry Partners","type":"Help documentation"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"url":"https://emodnet.ec.europa.eu/en/faq-about-downloading-emodnet-data#datacatalogue","type":"open","notes":"It is freely accessible, interoperable and reliable"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.emodnet-bathymetry.eu/data-products/how-can-i-contribute","type":"open","notes":"Share your data and contribute"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001453","bsg-d001453"],"name":"FAIRsharing record for: EMODnet Bathymetry","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pFZBRP","doi":"10.25504/FAIRsharing.pFZBRP","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EMODnet Bathymetry provides a service for viewing and downloading a harmonised Digital Terrain Model (DTM) for the European sea regions that is generated by the EMODnet Bathymetry partnership on the basis of an increasing number of bathymetric data sets. These are managed as survey data sets and composite DTMs by data providers from government and research. Services for discovery and requesting access to these data sets are provided as well.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Geography","Earth Science","Oceanography","Physical Geography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["European Union"],"publications":[{"id":2616,"pubmed_id":null,"title":"EMODnet Bathymetry Consortium (2018): EMODnet Digital Bathymetry (DTM)","year":2018,"url":"http://doi.org/10.12770/18ff0d48-b203-4a65-94a9-5fd8b0ec35f6","authors":"EMODnet Bathymetry Consortium","journal":"EMODnet Bathymetry Consortium","doi":"10.12770/18ff0d48-b203-4a65-94a9-5fd8b0ec35f6","created_at":"2021-09-30T08:27:21.146Z","updated_at":"2021-09-30T08:27:21.146Z"},{"id":2859,"pubmed_id":null,"title":"EMODnet Bathymetry Consortium (2016): EMODnet Digital Bathymetry (DTM).","year":2016,"url":"http://doi.org/10.12770/c7b53704-999d-4721-b1a3-04ec60c87238","authors":"EMODnet Bathymetry Consortium","journal":"EMODnet Bathymetry Consortium","doi":"10.12770/c7b53704-999d-4721-b1a3-04ec60c87238","created_at":"2021-09-30T08:27:51.731Z","updated_at":"2021-09-30T08:27:51.731Z"}],"licence_links":[{"licence_name":"SeaDataNet Data Policy","licence_id":742,"licence_url":"https://www.emodnet-bathymetry.eu/metadata-amp-data/user-registration","link_id":683,"relation":"undefined"}],"grants":[{"id":3819,"fairsharing_record_id":2949,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:27.496Z","updated_at":"2021-09-30T09:26:27.496Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3818,"fairsharing_record_id":2949,"organisation_id":1757,"relation":"maintains","created_at":"2021-09-30T09:26:27.470Z","updated_at":"2021-09-30T09:26:27.470Z","grant_id":null,"is_lead":true,"saved_state":{"id":1757,"name":"Marine and Ocean Data Management (MARIS), Voorburg, The Netherlands","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":3820,"fairsharing_record_id":2949,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:27.520Z","updated_at":"2021-09-30T09:26:27.520Z","grant_id":null,"is_lead":false,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2950","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T08:59:24.000Z","updated_at":"2023-12-15T10:32:27.904Z","metadata":{"doi":"10.25504/FAIRsharing.7ceb60","name":"European Centre for Disease Prevention and Control","status":"ready","contacts":[{"contact_name":"Andrea Ammon","contact_email":"Andrea.Ammon@ecdc.eu.int"}],"homepage":"https://www.ecdc.europa.eu/en","citations":[],"identifier":2950,"description":"ECDC's main role as an agency of the European Union is to strengthen Europe’s defences against communicable diseases, worked together with all EU/EEA countries in response to public health threats and emerging diseases. Part of the ECDC mission is to provide search for, collect, collate, evaluate and disseminate relevant scientific and technical data.","abbreviation":"ECDC","data_curation":{"type":"none"},"support_links":[{"url":"https://www.linkedin.com/company/ecdc/","name":"LinkedIn","type":"Blog/News"},{"url":"https://www.ecdc.europa.eu/en/news-events","name":"News \u0026 events","type":"Blog/News"},{"url":"https://www.facebook.com/ECDC.EU","name":"Facebook","type":"Facebook"},{"url":"info@ecdc.europa.eu","name":"General enquiries","type":"Support email"},{"url":"https://www.youtube.com/user/ECDCchannel","name":"Youtube","type":"Video"},{"url":"https://vimeo.com/ecdcvideos","name":"Vimeo","type":"Help documentation"},{"url":"https://www.slideshare.net/ecdc_eu","name":"Slideshare","type":"Help documentation"},{"url":"https://eva.ecdc.europa.eu/","name":"ECDC Virtual Academy (EVA), an online training platform","type":"Training documentation"},{"url":"https://twitter.com/ECDC_EU","type":"Twitter"}],"year_creation":2016,"data_versioning":"not found","associated_tools":[{"url":"http://atlas.ecdc.europa.eu/public/index.aspx","name":"Surveillance Atlas for infectious diseases"},{"url":"https://www.ecdc.europa.eu/en/publications-data/west-nile-virus-risk-assessment-tool-0","name":"West Nile virus risk assessment tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013304","name":"re3data:r3d100013304","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001454","bsg-d001454"],"name":"FAIRsharing record for: European Centre for Disease Prevention and Control","abbreviation":"ECDC","url":"https://fairsharing.org/10.25504/FAIRsharing.7ceb60","doi":"10.25504/FAIRsharing.7ceb60","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ECDC's main role as an agency of the European Union is to strengthen Europe’s defences against communicable diseases, worked together with all EU/EEA countries in response to public health threats and emerging diseases. Part of the ECDC mission is to provide search for, collect, collate, evaluate and disseminate relevant scientific and technical data.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12359},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12909}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science","Humanities and Social Science","Virology","Epidemiology"],"domains":["Disease"],"taxonomies":["Not applicable"],"user_defined_tags":["COVID-19"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"European Centre for Disease Prevention and Control Legal Notice","licence_id":300,"licence_url":"https://www.ecdc.europa.eu/en/legal-notice","link_id":674,"relation":"undefined"}],"grants":[{"id":3821,"fairsharing_record_id":2950,"organisation_id":960,"relation":"maintains","created_at":"2021-09-30T09:26:27.546Z","updated_at":"2021-09-30T09:26:27.546Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2951","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T13:30:38.000Z","updated_at":"2023-12-15T10:31:02.374Z","metadata":{"doi":"10.25504/FAIRsharing.Ry4stC","name":"EMODnet Geology","status":"ready","contacts":[{"contact_name":"Henry Vallius, Geological Survey of Finland","contact_email":"henry.vallius@gtk.fi"}],"homepage":"https://www.emodnet-geology.eu/","citations":[],"identifier":2951,"description":"The EMODnet geology portal provides free access to (i) geological data and metadata held by various geoscience organisations in Europe, delivered in accordance with international standards, and (ii) geological data products compiled at scales of 1:1,000,000, 1:250,000 and 1:100,000 or finer where the underlying data permit.","abbreviation":"EMODnet Geology","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.emodnet-geology.eu/support-feedback/","name":"Support \u0026 feedback","type":"Contact form"},{"url":"https://www.emodnet-geology.eu/about-emodnet-geology/","name":"About","type":"Help documentation"},{"url":"https://www.emodnet-geology.eu/data-products/","name":"Data Products","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://emodnet.ec.europa.eu/en/contribute-data-emodnet","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001455","bsg-d001455"],"name":"FAIRsharing record for: EMODnet Geology","abbreviation":"EMODnet Geology","url":"https://fairsharing.org/10.25504/FAIRsharing.Ry4stC","doi":"10.25504/FAIRsharing.Ry4stC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EMODnet geology portal provides free access to (i) geological data and metadata held by various geoscience organisations in Europe, delivered in accordance with international standards, and (ii) geological data products compiled at scales of 1:1,000,000, 1:250,000 and 1:100,000 or finer where the underlying data permit.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geology","Geography","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)","Geological mapping"],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"EMODnet Geology Terms of Use","licence_id":275,"licence_url":"https://www.emodnet-geology.eu/terms-of-use/","link_id":1051,"relation":"undefined"}],"grants":[{"id":3824,"fairsharing_record_id":2951,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:27.620Z","updated_at":"2021-09-30T09:26:27.620Z","grant_id":null,"is_lead":false,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":3822,"fairsharing_record_id":2951,"organisation_id":1122,"relation":"maintains","created_at":"2021-09-30T09:26:27.570Z","updated_at":"2021-09-30T09:26:27.570Z","grant_id":null,"is_lead":true,"saved_state":{"id":1122,"name":"Geological Survey of Finland","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":3823,"fairsharing_record_id":2951,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:27.596Z","updated_at":"2021-09-30T09:26:27.596Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2952","type":"fairsharing_records","attributes":{"created_at":"2020-04-15T13:51:23.000Z","updated_at":"2023-12-15T10:30:20.134Z","metadata":{"doi":"10.25504/FAIRsharing.XrXzcm","name":"EMODnet Physics","status":"ready","contacts":[],"homepage":"https://www.emodnet-physics.eu/Portal/","citations":[],"identifier":2952,"description":"EMODnet-Physics map portal (www.emodnet-physics.eu/map) provides a single point of access to validated in situ datasets, products and their physical parameter metadata of European Seas and global oceans.","abbreviation":"EMODnet Physics","data_curation":{"type":"not found"},"support_links":[{"url":"contacts@emodnet-physics.eu","name":"Helpdesk","type":"Support email"},{"url":"https://www.emodnet-physics.eu/portal/user-s-guide","name":"User Guide","type":"Help documentation"},{"url":"https://www.emodnet-physics.eu/portal/background","name":"About","type":"Help documentation"},{"url":"https://github.com/EMODnet-Physics/EMODnet-Physics-Documentation","name":"Github Repository","type":"Github"},{"url":"https://www.emodnet-physics.eu/portal/Videos-Physics","name":"Videos","type":"Help documentation"},{"url":"https://www.emodnet-physics.eu/portal/documents-and-services","name":"Documents and Services","type":"Help documentation"},{"url":"https://www.emodnet-physics.eu/portal/bibliography","name":"QA/QC Protocols","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://geoserver.emodnet-physics.eu/geoserver/web/","name":"GeoServer 2.16.2"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://emodnet.ec.europa.eu/en/contribute-data-emodnet","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001456","bsg-d001456"],"name":"FAIRsharing record for: EMODnet Physics","abbreviation":"EMODnet Physics","url":"https://fairsharing.org/10.25504/FAIRsharing.XrXzcm","doi":"10.25504/FAIRsharing.XrXzcm","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EMODnet-Physics map portal (www.emodnet-physics.eu/map) provides a single point of access to validated in situ datasets, products and their physical parameter metadata of European Seas and global oceans.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geophysics","Oceanography","Physical Geography"],"domains":["Geographical location","Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["European Union"],"publications":[{"id":2873,"pubmed_id":null,"title":"European Marine Observation and DataNetwork (EMODNET)– physical parameters: A support to marine science and operational oceanography","year":2013,"url":"https://ui.adsabs.harvard.edu/abs/2013EGUGA..15.3126D/abstract","authors":"Hans Dahlin, Tobias Gies, Marco Giordano, Patrick Gorringe, Giuseppe Manzella, Gilbert Maudire, Antonio Novellino, Maureen Pagnani, Sian Petersson, Sylvie Pouliquen, Lesley Rickards, Dick Schaap, Peter Tijsse, and Serge van der Horste","journal":"EGU General Assembly 2013","doi":null,"created_at":"2021-09-30T08:27:53.687Z","updated_at":"2021-09-30T11:28:38.928Z"},{"id":2874,"pubmed_id":null,"title":"Knowledge base for growth and innovation in ocean economy: assembly and dissemination of marine data for seabed mapping – European Marine Observation Data Network - EMODnet Physics","year":2014,"url":"https://webgate.ec.europa.eu/maritimeforum/system/files/6.%20Physics.pdf","authors":"Antonio Novellino, Patrick Gorringe, Dick Schaap, Sylvie Pouliquen, Lesley Rickards, and Giuseppe Manzella","journal":"EGU General Assembly 2013","doi":null,"created_at":"2021-09-30T08:27:53.795Z","updated_at":"2021-09-30T11:28:38.617Z"}],"licence_links":[{"licence_name":"EMODnet Physics Terms of Use","licence_id":276,"licence_url":"https://www.emodnet-physics.eu/portal/Helpdesk/How-to-acknowledge","link_id":267,"relation":"undefined"}],"grants":[{"id":3825,"fairsharing_record_id":2952,"organisation_id":960,"relation":"funds","created_at":"2021-09-30T09:26:27.646Z","updated_at":"2021-09-30T09:26:27.646Z","grant_id":null,"is_lead":false,"saved_state":{"id":960,"name":"European Union (EU)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3826,"fairsharing_record_id":2952,"organisation_id":884,"relation":"maintains","created_at":"2021-09-30T09:26:27.670Z","updated_at":"2021-09-30T09:26:27.670Z","grant_id":null,"is_lead":true,"saved_state":{"id":884,"name":"ETT Solutions","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":3827,"fairsharing_record_id":2952,"organisation_id":937,"relation":"maintains","created_at":"2021-09-30T09:26:27.696Z","updated_at":"2021-09-30T09:26:27.696Z","grant_id":null,"is_lead":false,"saved_state":{"id":937,"name":"European Marine Observation and Data Network (EMODnet)","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2956","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T13:28:34.000Z","updated_at":"2023-12-15T10:32:23.641Z","metadata":{"doi":"10.25504/FAIRsharing.37b795","name":"COVID-19 Drug Interactions","status":"ready","contacts":[{"contact_name":"David MacEwan","contact_email":"D.Macewan@liverpool.ac.uk","contact_orcid":"0000-0002-2879-0935"}],"homepage":"https://www.covid19-druginteractions.org/","identifier":2956,"description":"The Liverpool Drug Interaction Group (based at the University of Liverpool, UK), in collaboration with the University Hospital of Basel (Switzerland) and Radboud UMC (Netherlands), have produced various materials in PDF format to aid the use of experimental agents in the treatment of COVID-19.","abbreviation":null,"data_curation":{"url":"https://www.covid19-druginteractions.org/about","type":"manual"},"year_creation":2020,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013299","name":"re3data:r3d100013299","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001460","bsg-d001460"],"name":"FAIRsharing record for: COVID-19 Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.37b795","doi":"10.25504/FAIRsharing.37b795","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Liverpool Drug Interaction Group (based at the University of Liverpool, UK), in collaboration with the University Hospital of Basel (Switzerland) and Radboud UMC (Netherlands), have produced various materials in PDF format to aid the use of experimental agents in the treatment of COVID-19.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12360},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12911}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Virology","Biomedical Science","Epidemiology"],"domains":["Drug interaction"],"taxonomies":["Coronaviridae","Homo sapiens"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"HIV Drug Interactions Terms and Conditions","licence_id":394,"licence_url":"https://www.hiv-druginteractions.org/terms","link_id":66,"relation":"undefined"},{"licence_name":"HIV Privacy Notice","licence_id":396,"licence_url":"https://www.hiv-druginteractions.org/privacy","link_id":65,"relation":"undefined"}],"grants":[{"id":3847,"fairsharing_record_id":2956,"organisation_id":14,"relation":"funds","created_at":"2021-09-30T09:26:28.204Z","updated_at":"2021-09-30T09:26:28.204Z","grant_id":null,"is_lead":false,"saved_state":{"id":14,"name":"Abbvie, North Chicago, Illinois, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3850,"fairsharing_record_id":2956,"organisation_id":476,"relation":"funds","created_at":"2021-09-30T09:26:28.343Z","updated_at":"2021-09-30T09:26:28.343Z","grant_id":null,"is_lead":false,"saved_state":{"id":476,"name":"Centre of Excellence in Infectious Diseases Research (CEIDR)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3853,"fairsharing_record_id":2956,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:28.448Z","updated_at":"2021-09-30T09:26:28.448Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3856,"fairsharing_record_id":2956,"organisation_id":2194,"relation":"funds","created_at":"2021-09-30T09:26:28.574Z","updated_at":"2021-09-30T09:26:28.574Z","grant_id":null,"is_lead":false,"saved_state":{"id":2194,"name":"Novartis","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3859,"fairsharing_record_id":2956,"organisation_id":2583,"relation":"funds","created_at":"2021-09-30T09:26:28.672Z","updated_at":"2021-09-30T09:26:28.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":2583,"name":"Sobi, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3848,"fairsharing_record_id":2956,"organisation_id":317,"relation":"funds","created_at":"2021-09-30T09:26:28.230Z","updated_at":"2021-09-30T09:26:28.230Z","grant_id":null,"is_lead":false,"saved_state":{"id":317,"name":"British HIV Association (BHIVA), Hertfordshire, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3849,"fairsharing_record_id":2956,"organisation_id":906,"relation":"funds","created_at":"2021-09-30T09:26:28.297Z","updated_at":"2021-09-30T09:26:28.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":906,"name":"European AIDS Clinical Society (EACS), Brussels, Belgium","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3851,"fairsharing_record_id":2956,"organisation_id":2399,"relation":"funds","created_at":"2021-09-30T09:26:28.382Z","updated_at":"2021-09-30T09:26:28.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":2399,"name":"Radboud University Medical Center, Nijmegen, The Netherlands","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3852,"fairsharing_record_id":2956,"organisation_id":2902,"relation":"funds","created_at":"2021-09-30T09:26:28.414Z","updated_at":"2021-09-30T09:26:28.414Z","grant_id":null,"is_lead":false,"saved_state":{"id":2902,"name":"UK Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3854,"fairsharing_record_id":2956,"organisation_id":1907,"relation":"funds","created_at":"2021-09-30T09:26:28.486Z","updated_at":"2021-09-30T09:26:28.486Z","grant_id":null,"is_lead":false,"saved_state":{"id":1907,"name":"MSD, Hoddesdon, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3855,"fairsharing_record_id":2956,"organisation_id":1199,"relation":"funds","created_at":"2021-09-30T09:26:28.536Z","updated_at":"2021-09-30T09:26:28.536Z","grant_id":null,"is_lead":false,"saved_state":{"id":1199,"name":"Graphics and Vision Research Group, University of Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":3857,"fairsharing_record_id":2956,"organisation_id":2003,"relation":"maintains","created_at":"2021-09-30T09:26:28.606Z","updated_at":"2021-09-30T09:26:28.606Z","grant_id":null,"is_lead":false,"saved_state":{"id":2003,"name":"National Institute for Health Research (NIHR), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":9098,"fairsharing_record_id":2956,"organisation_id":1420,"relation":"maintains","created_at":"2022-04-07T14:04:52.076Z","updated_at":"2022-04-07T14:04:52.076Z","grant_id":null,"is_lead":false,"saved_state":{"id":1420,"name":"Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2957","type":"fairsharing_records","attributes":{"created_at":"2020-04-20T20:47:17.000Z","updated_at":"2023-12-15T10:29:11.326Z","metadata":{"doi":"10.25504/FAIRsharing.41b0ad","name":"Atlas of Cancer Signalling Network","status":"ready","contacts":[{"contact_email":"acsn@curie.fr"}],"homepage":"https://acsn.curie.fr/ACSN2/ACSN2.html","citations":[{"doi":"10.1038/oncsis.2015.19","pubmed_id":26192618,"publication_id":2891}],"identifier":2957,"description":"ACSN is a web-based multi-scale resource of biological maps depicting molecular processes in cancer cell and tumor microenvironment. The Atlas represents interconnected cancer-related signalling and metabolic network maps. Molecular mechanisms are depicted on the maps at the level of biochemical interactions, forming a large seamless network. The Atlas is a \"geographic-like\" interactive \"world map\" of molecular interactions leading the hallmarks of cancer as described by Hanahan and Weinberg.","abbreviation":"ACSN","data_curation":{"url":"https://acsn.curie.fr/ACSN2/features.html","type":"manual","notes":"The maps are manually created based on the information extracted from scientific literature"},"support_links":[{"url":"https://acsn.curie.fr/ACSN2/FAQ.html","name":"Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://acsn.curie.fr/ACSN2/guides.html","name":"Online Guides","type":"Help documentation"},{"url":"https://twitter.com/acsn_curie","name":"@acsn_curie","type":"Twitter"}],"year_creation":2018,"data_versioning":"no","associated_tools":[{"url":"https://navicell.curie.fr/","name":"NaviCell"},{"url":"https://navicom.curie.fr/bridge.php","name":"NaviCom"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001461","bsg-d001461"],"name":"FAIRsharing record for: Atlas of Cancer Signalling Network","abbreviation":"ACSN","url":"https://fairsharing.org/10.25504/FAIRsharing.41b0ad","doi":"10.25504/FAIRsharing.41b0ad","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ACSN is a web-based multi-scale resource of biological maps depicting molecular processes in cancer cell and tumor microenvironment. The Atlas represents interconnected cancer-related signalling and metabolic network maps. Molecular mechanisms are depicted on the maps at the level of biochemical interactions, forming a large seamless network. The Atlas is a \"geographic-like\" interactive \"world map\" of molecular interactions leading the hallmarks of cancer as described by Hanahan and Weinberg.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12264}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Oncology","Medicine","Medicines Research and Development","Cell Biology","Biomedical Science"],"domains":["Cancer","Cellular assay","Cell morphology","Cell cycle","Signaling","Tumor"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2891,"pubmed_id":26192618,"title":"Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps.","year":2015,"url":"http://doi.org/10.1038/oncsis.2015.19","authors":"Kuperstein I,Bonnet E,Nguyen HA,Cohen D,Viara E,Grieco L,Fourquet S,Calzone L,Russo C,Kondratova M,Dutreix M,Barillot E,Zinovyev A","journal":"Oncogenesis","doi":"10.1038/oncsis.2015.19","created_at":"2021-09-30T08:27:55.982Z","updated_at":"2021-09-30T08:27:55.982Z"}],"licence_links":[],"grants":[{"id":3861,"fairsharing_record_id":2957,"organisation_id":1444,"relation":"maintains","created_at":"2021-09-30T09:26:28.740Z","updated_at":"2021-09-30T09:26:28.740Z","grant_id":null,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3860,"fairsharing_record_id":2957,"organisation_id":1363,"relation":"maintains","created_at":"2021-09-30T09:26:28.709Z","updated_at":"2021-09-30T09:26:28.709Z","grant_id":null,"is_lead":false,"saved_state":{"id":1363,"name":"Institut Curie, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2958","type":"fairsharing_records","attributes":{"created_at":"2020-04-21T07:59:50.000Z","updated_at":"2023-06-23T10:54:48.292Z","metadata":{"doi":"10.25504/FAIRsharing.8c937c","name":"HIV Drug Interactions","status":"ready","contacts":[{"contact_name":"David Back","contact_email":"D.J.Back@liverpool.ac.uk","contact_orcid":"0000-0002-7381-4799"}],"homepage":"https://www.hiv-druginteractions.org/","identifier":2958,"description":"Around 37 million individuals are living worldwide with HIV and although advances in therapy have yielded effective regimens, individual antiretroviral drugs are amongst the most therapeutically risky for drug-drug interactions (DDI) presenting significant risks to patients and a challenge for health care providers to ensure safe and appropriate prescribing. In order to address this, the Liverpool Drug Interactions website was established in 1999 by members of the Department of Pharmacology at the University of Liverpool to provide a freely available drug-drug interaction resource.","abbreviation":null,"data_curation":{"url":"https://www.hiv-druginteractions.org/mission","type":"manual"},"support_links":[{"url":"https://www.hiv-druginteractions.org/site_updates","name":"News","type":"Blog/News"},{"url":"https://www.hiv-druginteractions.org/feedback","name":"Feedback","type":"Contact form"},{"url":"https://www.hiv-druginteractions.org/prescribing-resources","name":"Printable materials in PDF format to aid prescribing","type":"Help documentation"},{"url":"https://www.hiv-druginteractions.org/videos","name":"Series of mini-lectures on pharmacology and HIV","type":"Help documentation"},{"url":"https://twitter.com/hivinteractions","type":"Twitter"}],"year_creation":1999,"data_versioning":"no","associated_tools":[{"url":"https://apps.apple.com/gb/app/liverpool-hiv-ichart/id979962744","name":"Liverpool HIV iChart (AppStore)"},{"url":"https://play.google.com/store/apps/details?id=com.liverpooluni.icharthiv\u0026hl=en_GB","name":"Liverpool HIV iChart (Google Play)"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.hiv-druginteractions.org/suggestions","type":"controlled","notes":"Only data deposition suggestion is possible."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001462","bsg-d001462"],"name":"FAIRsharing record for: HIV Drug Interactions","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.8c937c","doi":"10.25504/FAIRsharing.8c937c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Around 37 million individuals are living worldwide with HIV and although advances in therapy have yielded effective regimens, individual antiretroviral drugs are amongst the most therapeutically risky for drug-drug interactions (DDI) presenting significant risks to patients and a challenge for health care providers to ensure safe and appropriate prescribing. In order to address this, the Liverpool Drug Interactions website was established in 1999 by members of the Department of Pharmacology at the University of Liverpool to provide a freely available drug-drug interaction resource.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12912}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Drug Development","Virology","Biomedical Science","Epidemiology"],"domains":["Drug interaction","Disease"],"taxonomies":["Homo sapiens","Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2896,"pubmed_id":27235838,"title":"HIV drug interaction resources from the University of Liverpool.","year":2016,"url":"http://doi.org/10.1016/j.tmaid.2016.05.013","authors":"Chiodini J","journal":"Travel Med Infect Dis","doi":"10.1016/j.tmaid.2016.05.013","created_at":"2021-09-30T08:27:56.583Z","updated_at":"2021-09-30T08:27:56.583Z"}],"licence_links":[{"licence_name":"HIV Drug Interactions Terms and Conditions","licence_id":394,"licence_url":"https://www.hiv-druginteractions.org/terms","link_id":930,"relation":"undefined"}],"grants":[{"id":3865,"fairsharing_record_id":2958,"organisation_id":1585,"relation":"funds","created_at":"2021-09-30T09:26:28.856Z","updated_at":"2021-09-30T09:26:28.856Z","grant_id":null,"is_lead":false,"saved_state":{"id":1585,"name":"Janssen EMEA, Beerse, Belgium","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3867,"fairsharing_record_id":2958,"organisation_id":1907,"relation":"funds","created_at":"2021-09-30T09:26:28.911Z","updated_at":"2021-09-30T09:26:28.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":1907,"name":"MSD, Hoddesdon, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3870,"fairsharing_record_id":2958,"organisation_id":1253,"relation":"funds","created_at":"2021-09-30T09:26:29.020Z","updated_at":"2021-09-30T09:26:29.020Z","grant_id":null,"is_lead":false,"saved_state":{"id":1253,"name":"HIV Glasgow, Glasgow, Scotland","types":["Publisher"],"is_lead":false,"relation":"funds"}},{"id":3866,"fairsharing_record_id":2958,"organisation_id":1155,"relation":"funds","created_at":"2021-09-30T09:26:28.880Z","updated_at":"2021-09-30T09:26:28.880Z","grant_id":null,"is_lead":false,"saved_state":{"id":1155,"name":"Gilead, Foster City, CA, USA","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3868,"fairsharing_record_id":2958,"organisation_id":3185,"relation":"funds","created_at":"2021-09-30T09:26:28.949Z","updated_at":"2021-09-30T09:26:28.949Z","grant_id":null,"is_lead":false,"saved_state":{"id":3185,"name":"ViiV Healthcare, Brentford, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3862,"fairsharing_record_id":2958,"organisation_id":317,"relation":"funds","created_at":"2021-09-30T09:26:28.768Z","updated_at":"2021-09-30T09:26:28.768Z","grant_id":null,"is_lead":false,"saved_state":{"id":317,"name":"British HIV Association (BHIVA), Hertfordshire, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3863,"fairsharing_record_id":2958,"organisation_id":906,"relation":"funds","created_at":"2021-09-30T09:26:28.798Z","updated_at":"2021-09-30T09:26:28.798Z","grant_id":null,"is_lead":false,"saved_state":{"id":906,"name":"European AIDS Clinical Society (EACS), Brussels, Belgium","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3864,"fairsharing_record_id":2958,"organisation_id":1199,"relation":"funds","created_at":"2021-09-30T09:26:28.827Z","updated_at":"2021-09-30T09:26:28.827Z","grant_id":null,"is_lead":false,"saved_state":{"id":1199,"name":"Graphics and Vision Research Group, University of Basel, Switzerland","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":3869,"fairsharing_record_id":2958,"organisation_id":1066,"relation":"funds","created_at":"2021-09-30T09:26:28.982Z","updated_at":"2021-09-30T09:26:28.982Z","grant_id":null,"is_lead":false,"saved_state":{"id":1066,"name":"Frontier Biotechnologies, Nanjing, China","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":3871,"fairsharing_record_id":2958,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:26:29.058Z","updated_at":"2021-09-30T09:26:29.058Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2945","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T14:28:01.000Z","updated_at":"2023-06-23T15:46:11.665Z","metadata":{"doi":"10.25504/FAIRsharing.41737c","name":"Stanford HIV Drug Resistance Database","status":"ready","contacts":[{"contact_name":"Robert W. Shafer","contact_email":"rshafer@stanford.edu"}],"homepage":"https://hivdb.stanford.edu/","identifier":2945,"description":"The Stanford HIV Drug Resistance Database (HIVDB) is an essential resource for public health officials monitoring ADR and TDR, for scientists developing new ARV drugs, and for HIV care providers managing patients with HIVDR.","abbreviation":"HIVDB","data_curation":{"type":"automated","notes":"HIVDB is a curated public database."},"support_links":[{"url":"hivdbteam@stanford.edu","name":"General contact","type":"Support email"},{"url":"https://hivdb.stanford.edu/pages/FAQ/FAQ.html","type":"Frequently Asked Questions (FAQs)"},{"url":"https://hivdb.stanford.edu/cgi-bin/Summary.cgi","name":"Database statistics","type":"Help documentation"}],"year_creation":1998,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://hivdb.stanford.edu/pages/FAQ/FAQ.html","type":"controlled","notes":"Submission of data published in a peer-review journal and submitted to GenBank is recomended."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001449","bsg-d001449"],"name":"FAIRsharing record for: Stanford HIV Drug Resistance Database","abbreviation":"HIVDB","url":"https://fairsharing.org/10.25504/FAIRsharing.41737c","doi":"10.25504/FAIRsharing.41737c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Stanford HIV Drug Resistance Database (HIVDB) is an essential resource for public health officials monitoring ADR and TDR, for scientists developing new ARV drugs, and for HIV care providers managing patients with HIVDR.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12906}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Drug Development","Virology","Life Science","Epidemiology"],"domains":["Phenotype","Treatment"],"taxonomies":["Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2839,"pubmed_id":12520007,"title":"Human immunodeficiency virus reverse transcriptase and protease sequence database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg100","authors":"Rhee SY,Gonzales MJ,Kantor R,Betts BJ,Ravela J,Shafer RW","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg100","created_at":"2021-09-30T08:27:49.252Z","updated_at":"2021-09-30T11:29:47.046Z"},{"id":2840,"pubmed_id":16921473,"title":"Rationale and uses of a public HIV drug-resistance database.","year":2006,"url":"http://doi.org/10.1086/505356","authors":"Shafer RW","journal":"J Infect Dis","doi":"10.1086/505356","created_at":"2021-09-30T08:27:49.372Z","updated_at":"2021-09-30T08:27:49.372Z"}],"licence_links":[{"licence_name":"HIV Drug Resistance Database Terms of Use","licence_id":395,"licence_url":"https://hivdb.stanford.edu/pages/FAQ/FAQ.html","link_id":919,"relation":"undefined"}],"grants":[{"id":3811,"fairsharing_record_id":2945,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:26:27.264Z","updated_at":"2021-09-30T09:26:27.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2946","type":"fairsharing_records","attributes":{"created_at":"2020-04-14T15:52:00.000Z","updated_at":"2023-06-22T16:45:57.507Z","metadata":{"doi":"10.25504/FAIRsharing.mihb12","name":"Kinase-Ligand Interaction Fingerprints and Structures database","status":"ready","contacts":[{"contact_name":"Albert J. Kooistra","contact_email":"info@klifs.net","contact_orcid":"0000-0001-5514-6021"}],"homepage":"https://klifs.net","citations":[{"doi":"gkaa895","pubmed_id":33084889,"publication_id":3071}],"identifier":2946,"description":"Kinase-Ligand Interaction Fingerprints and Structures database (KLIFS) is a database that revolves around the protein structure of catalytic kinase domains and the way kinase inhibitors can interact with them. Based on the underlying systematic and consistent protocol all (currently human and mouse) kinase structures and the binding mode of kinase ligands can be directly compared to each other. Moreover, because of the classification of an all-encompassing binding site of 85 residues it is possible to compare the interaction patterns of kinase-inhibitors to each other to, for example, identify crucial interactions determining kinase-inhibitor selectivity.","abbreviation":"KLIFS","data_curation":{"url":"https://doi.org/10.1093/nar/gkaa895","type":"manual/automated"},"support_links":[{"url":"https://klifs.net/news.php","name":"News","type":"Blog/News"},{"url":"https://klifs.net/faq.php","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://klifs.net/stats.php","name":"Statistics","type":"Help documentation"},{"url":"https://klifs.net/tutorial.php","name":"Tutorial","type":"Training documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"https://www.knime.com/3d-e-chem-nodes-for-knime","name":"KLIFS nodes for KNIME 1.4.2"}],"data_access_condition":{"url":"https://klifs.net/faq.php","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001450","bsg-d001450"],"name":"FAIRsharing record for: Kinase-Ligand Interaction Fingerprints and Structures database","abbreviation":"KLIFS","url":"https://fairsharing.org/10.25504/FAIRsharing.mihb12","doi":"10.25504/FAIRsharing.mihb12","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Kinase-Ligand Interaction Fingerprints and Structures database (KLIFS) is a database that revolves around the protein structure of catalytic kinase domains and the way kinase inhibitors can interact with them. Based on the underlying systematic and consistent protocol all (currently human and mouse) kinase structures and the binding mode of kinase ligands can be directly compared to each other. Moreover, because of the classification of an all-encompassing binding site of 85 residues it is possible to compare the interaction patterns of kinase-inhibitors to each other to, for example, identify crucial interactions determining kinase-inhibitor selectivity.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12907}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cheminformatics","Pharmacology","Life Science","Pharmacogenomics"],"domains":["Protein structure","Structure alignment (pair)","Structure-based sequence alignment","Multiple sequence alignment","Protein interaction","Ligand","Bioactivity","Binding","Molecular interaction","Protein"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Chemogenomics","Interaction fingerprints","Interaction similarity","Kinases","Ligand similarity"],"countries":["Denmark","Netherlands"],"publications":[{"id":2855,"pubmed_id":26496949,"title":"KLIFS: a structural kinase-ligand interaction database.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1082","authors":"Kooistra AJ,Kanev GK,van Linden OP,Leurs R,de Esch IJ,de Graaf C","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1082","created_at":"2021-09-30T08:27:51.188Z","updated_at":"2021-09-30T11:29:47.504Z"},{"id":2856,"pubmed_id":23941661,"title":"KLIFS: a knowledge-based structural database to navigate kinase-ligand interaction space.","year":2013,"url":"http://doi.org/10.1021/jm400378w","authors":"van Linden OP,Kooistra AJ,Leurs R,de Esch IJ,de Graaf C","journal":"J Med Chem","doi":"10.1021/jm400378w","created_at":"2021-09-30T08:27:51.297Z","updated_at":"2021-09-30T08:27:51.297Z"},{"id":2857,"pubmed_id":31677919,"title":"The Landscape of Atypical and Eukaryotic Protein Kinases.","year":2019,"url":"http://doi.org/S0165-6147(19)30213-5","authors":"Kanev GK,de Graaf C,de Esch IJP,Leurs R,Wurdinger T,Westerman BA,Kooistra AJ","journal":"Trends Pharmacol Sci","doi":"S0165-6147(19)30213-5","created_at":"2021-09-30T08:27:51.457Z","updated_at":"2021-09-30T08:27:51.457Z"},{"id":3071,"pubmed_id":33084889,"title":"KLIFS: an overhaul after the first 5 years of supporting kinase research.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa895","authors":"Kanev GK,de Graaf C,Westerman BA,de Esch IJP,Kooistra AJ","journal":"Nucleic Acids Research","doi":"gkaa895","created_at":"2021-09-30T08:28:18.431Z","updated_at":"2021-09-30T11:29:50.820Z"}],"licence_links":[],"grants":[{"id":3813,"fairsharing_record_id":2946,"organisation_id":702,"relation":"maintains","created_at":"2021-09-30T09:26:27.330Z","updated_at":"2021-09-30T09:26:27.330Z","grant_id":null,"is_lead":true,"saved_state":{"id":702,"name":"Department of Drug Design and Pharmacology, University of Copenhagen","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":3812,"fairsharing_record_id":2946,"organisation_id":3197,"relation":"maintains","created_at":"2021-09-30T09:26:27.297Z","updated_at":"2021-09-30T09:26:27.297Z","grant_id":null,"is_lead":false,"saved_state":{"id":3197,"name":"Vrije Universiteit Amsterdam, The Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2460","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T12:45:16.000Z","updated_at":"2023-12-15T10:30:48.609Z","metadata":{"doi":"10.25504/FAIRsharing.yd91ak","name":"Belgian BIF IPT - GBIF Belgium Repository","status":"ready","contacts":[{"contact_name":"André Heughebaert","contact_email":"a.heughebaert@biodiversity.be"}],"homepage":"http://ipt.biodiversity.be/","identifier":2460,"description":"The Belgium Biodiversity Platform maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). The Belgian Biodiversity Platform is a science-policy interface that offers a privileged access to primary biodiversity data and research information. The Platform encourages interdisciplinary cooperation among scientists and serves as an interface between researchers and science-policy organizations. It provides advice on the designation of biodiversity research priorities and promotes Belgian biodiversity research in international fora.","abbreviation":null,"data_curation":{"type":"manual"},"year_creation":2001,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000942","bsg-d000942"],"name":"FAIRsharing record for: Belgian BIF IPT - GBIF Belgium Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.yd91ak","doi":"10.25504/FAIRsharing.yd91ak","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). The Belgian Biodiversity Platform is a science-policy interface that offers a privileged access to primary biodiversity data and research information. The Platform encourages interdisciplinary cooperation among scientists and serves as an interface between researchers and science-policy organizations. It provides advice on the designation of biodiversity research priorities and promotes Belgian biodiversity research in international fora.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11647}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1096,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":387,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1032,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1256,"relation":"undefined"}],"grants":[{"id":2650,"fairsharing_record_id":2460,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:51.200Z","updated_at":"2021-09-30T09:25:51.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2651,"fairsharing_record_id":2460,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.224Z","updated_at":"2021-09-30T09:25:51.224Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2461","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T13:30:17.000Z","updated_at":"2023-12-15T10:30:21.824Z","metadata":{"doi":"10.25504/FAIRsharing.h2v2ye","name":"GBIF Mauritania IPT - GBIF Belgium","status":"ready","contacts":[{"contact_name":"Moulaye Mohamed Baba Ainina","contact_email":"ainina_3@hotmail.com"}],"homepage":"http://ipt-mrbif.bebif.be/","identifier":2461,"description":"The Belgium Biodiversity Platform hosts this data repository on behalf of GBIF Mauritania (MrBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). More specifically, MrBIF aims to promote, coordinate and facilitate data sharing and dissemination; undertake surveys of potential biodiversity data publishers and data users; promote publication and use of biodiversity data; formulate and implement policies on biodiversity conservation; train young scientists and decisions makers; and acquire IT materials, stable Internet access and reliable power supply.","abbreviation":"MrBIF IPT - GBIF Belgium","data_curation":{"type":"manual"},"support_links":[{"url":"a.heughebaert@biodiversity.be","name":"Andr Heughebaert","type":"Support email"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000943","bsg-d000943"],"name":"FAIRsharing record for: GBIF Mauritania IPT - GBIF Belgium","abbreviation":"MrBIF IPT - GBIF Belgium","url":"https://fairsharing.org/10.25504/FAIRsharing.h2v2ye","doi":"10.25504/FAIRsharing.h2v2ye","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform hosts this data repository on behalf of GBIF Mauritania (MrBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). More specifically, MrBIF aims to promote, coordinate and facilitate data sharing and dissemination; undertake surveys of potential biodiversity data publishers and data users; promote publication and use of biodiversity data; formulate and implement policies on biodiversity conservation; train young scientists and decisions makers; and acquire IT materials, stable Internet access and reliable power supply.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11648}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Belgium","Mauritania"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1097,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":388,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1033,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":264,"relation":"undefined"}],"grants":[{"id":2653,"fairsharing_record_id":2461,"organisation_id":1694,"relation":"funds","created_at":"2021-09-30T09:25:51.273Z","updated_at":"2021-09-30T09:25:51.273Z","grant_id":null,"is_lead":false,"saved_state":{"id":1694,"name":"L'Ecole Normale Superieure de Nouakchott (ENS), Nouakchott, Mauritania","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2652,"fairsharing_record_id":2461,"organisation_id":1694,"relation":"maintains","created_at":"2021-09-30T09:25:51.251Z","updated_at":"2021-09-30T09:25:51.251Z","grant_id":null,"is_lead":false,"saved_state":{"id":1694,"name":"L'Ecole Normale Superieure de Nouakchott (ENS), Nouakchott, Mauritania","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2654,"fairsharing_record_id":2461,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.301Z","updated_at":"2021-09-30T09:25:51.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2462","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T13:30:19.000Z","updated_at":"2023-12-15T10:31:39.883Z","metadata":{"doi":"10.25504/FAIRsharing.ewyejx","name":"Antabif IPT - AntOBIS IPT - GBIF Belgium","status":"ready","contacts":[{"contact_name":"Anton Van de Putte","contact_email":"antonarctica@gmail.com"}],"homepage":"http://ipt.biodiversity.aq/","citations":[],"identifier":2462,"description":"The Belgium Biodiversity Platform hosts this data repository on behalf of the SCAR Antarctic Biodiversity Portal biodiversity.aq in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). This IPT publisher serves terrestrial and marine Biodiversity data to the relevant global networks. The marine component of AntOBIS is part of an international data sharing network (Ocean Biogeographic Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information Exchange.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"a.heughebaert@biodiversity.be","name":"Andre Heughebaert","type":"Support email"}],"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000944","bsg-d000944"],"name":"FAIRsharing record for: Antabif IPT - AntOBIS IPT - GBIF Belgium","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ewyejx","doi":"10.25504/FAIRsharing.ewyejx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform hosts this data repository on behalf of the SCAR Antarctic Biodiversity Portal biodiversity.aq in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). This IPT publisher serves terrestrial and marine Biodiversity data to the relevant global networks. The marine component of AntOBIS is part of an international data sharing network (Ocean Biogeographic Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information Exchange.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11649}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Antarctica","Belgium"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":97,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":199,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":104,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":172,"relation":"undefined"}],"grants":[{"id":2656,"fairsharing_record_id":2462,"organisation_id":227,"relation":"maintains","created_at":"2021-09-30T09:25:51.356Z","updated_at":"2021-09-30T09:25:51.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":227,"name":"biodiversity.aq","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2655,"fairsharing_record_id":2462,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.325Z","updated_at":"2021-09-30T09:25:51.325Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2463","type":"fairsharing_records","attributes":{"created_at":"2017-06-27T13:30:51.000Z","updated_at":"2023-12-15T10:29:12.851Z","metadata":{"doi":"10.25504/FAIRsharing.9ff9zj","name":"Biofresh IPT - GBIF Belgium","status":"ready","contacts":[{"contact_name":"Aaike De Wever","contact_email":"aaike.dewever@naturalsciences.be"}],"homepage":"https://data.freshwaterbiodiversity.eu/","citations":[],"identifier":2463,"description":"The Belgium Biodiversity Platform hosts this data repository on behalf of BioFresh in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Biofresh is an EU-funded international project that aims to build a global information platform for scientists and ecosystem managers with access to all available databases describing the distribution, status and trends of global freshwater biodiversity. BioFresh integrates the freshwater biodiversity competencies and expertise of 19 research institutions.","abbreviation":null,"data_curation":{"url":"http://data.freshwaterbiodiversity.eu/qualitycontrol","type":"manual"},"support_links":[{"url":"a.heughebaert@biodiversity.be","name":"Andr Heughebaert","type":"Support email"},{"url":"http://data.freshwaterbiodiversity.eu/searchtips","name":"Search tips","type":"Help documentation"},{"url":"http://data.freshwaterbiodiversity.eu/datapolicy","name":"Data Policy","type":"Other"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011651","name":"re3data:r3d100011651","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://data.freshwaterbiodiversity.eu/submitdata","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000945","bsg-d000945"],"name":"FAIRsharing record for: Biofresh IPT - GBIF Belgium","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9ff9zj","doi":"10.25504/FAIRsharing.9ff9zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Belgium Biodiversity Platform hosts this data repository on behalf of BioFresh in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Biofresh is an EU-funded international project that aims to build a global information platform for scientists and ecosystem managers with access to all available databases describing the distribution, status and trends of global freshwater biodiversity. BioFresh integrates the freshwater biodiversity competencies and expertise of 19 research institutions.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11650}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science","Freshwater Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1098,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":390,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1034,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1168,"relation":"undefined"}],"grants":[{"id":2657,"fairsharing_record_id":2463,"organisation_id":231,"relation":"maintains","created_at":"2021-09-30T09:25:51.398Z","updated_at":"2021-09-30T09:25:51.398Z","grant_id":null,"is_lead":false,"saved_state":{"id":231,"name":"BioFresh","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2658,"fairsharing_record_id":2463,"organisation_id":197,"relation":"maintains","created_at":"2021-09-30T09:25:51.437Z","updated_at":"2021-09-30T09:25:51.437Z","grant_id":null,"is_lead":false,"saved_state":{"id":197,"name":"Belgian Biodiversity Platform, Belgium","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2464","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T13:51:46.000Z","updated_at":"2023-12-15T10:31:01.017Z","metadata":{"doi":"10.25504/FAIRsharing.p56z5r","name":"Danish Biodiversity Information Facility IPT - GBIF Denmark","status":"ready","contacts":[{"contact_name":"Isabel Calabuig","contact_email":"ICalabuig@snm.ku.dk"}],"homepage":"http://danbif.au.dk/ipt/","identifier":2464,"description":"DanBIF maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). DanBIF carries out the work on making accessible the Danish, Faroese and Greenlandic resources of biodiversity data. DanBIF maintains the consensus checklist of all species known to occur in Denmark.","abbreviation":"DanBIF IPT - GBIF Denmark","data_curation":{"type":"manual"},"year_creation":2001,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000946","bsg-d000946"],"name":"FAIRsharing record for: Danish Biodiversity Information Facility IPT - GBIF Denmark","abbreviation":"DanBIF IPT - GBIF Denmark","url":"https://fairsharing.org/10.25504/FAIRsharing.p56z5r","doi":"10.25504/FAIRsharing.p56z5r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DanBIF maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). DanBIF carries out the work on making accessible the Danish, Faroese and Greenlandic resources of biodiversity data. DanBIF maintains the consensus checklist of all species known to occur in Denmark.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11651}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Denmark","Faroe Islands","Greenland"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1103,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":392,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":277,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1167,"relation":"undefined"}],"grants":[{"id":2661,"fairsharing_record_id":2464,"organisation_id":987,"relation":"funds","created_at":"2021-09-30T09:25:51.548Z","updated_at":"2021-09-30T09:25:51.548Z","grant_id":null,"is_lead":false,"saved_state":{"id":987,"name":"Faculty of Science, University of Copenhagen","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2659,"fairsharing_record_id":2464,"organisation_id":988,"relation":"funds","created_at":"2021-09-30T09:25:51.469Z","updated_at":"2021-09-30T09:25:51.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":988,"name":"Faculty of Science, University of Southern Denmark","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2660,"fairsharing_record_id":2464,"organisation_id":637,"relation":"maintains","created_at":"2021-09-30T09:25:51.506Z","updated_at":"2021-09-30T09:25:51.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":637,"name":"Danish Biodiversity Information Facility, Denmark","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2662,"fairsharing_record_id":2464,"organisation_id":986,"relation":"funds","created_at":"2021-09-30T09:25:51.590Z","updated_at":"2021-09-30T09:25:51.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":986,"name":"Faculty of Science and Technology, Aarhus University, Denmark","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2465","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T14:13:12.000Z","updated_at":"2024-06-11T10:26:57.102Z","metadata":{"doi":"10.25504/FAIRsharing.58bd67","name":"Finnish Biodiversity Information Facility Repository","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"helpdesk@laji.fi","contact_orcid":null},{"contact_name":"Matti Sahla","contact_email":"matti.sahla@helsinki.fi","contact_orcid":"0000-0003-1151-0551"}],"homepage":"https://laji.fi","citations":[],"identifier":2465,"description":"The Finnish Biodiversity Information Facility (FinBIF) is an open access data repository for researchers, government and the public. FinBIF consolidates many collections and datasets of living Finland in a single source. Our online portal, laji.fi, allows you to browse, search and download information about all forms of biological life, and to record and share your own observations. FinBIF is committed to the sharing and promotion of open access data.","abbreviation":"FinBIF","data_curation":{"url":"https://laji.fi/en/save-observations","type":"not found","notes":"All described curation is performed by the submitter; no additional information can be found about post-submission curation."},"support_links":[{"url":"https://laji.fi/en/about/1153","type":"Contact form"}],"year_creation":2016,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013555","name":"re3data:r3d100013555","portal":"re3data"}],"data_access_condition":{"url":"https://laji.fi/en/about/875","type":"partially open","notes":"A small number of animal observation data is kept secret for security issues / animal well-being."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://laji.fi/en/save-observations","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000947","bsg-d000947"],"name":"FAIRsharing record for: Finnish Biodiversity Information Facility Repository","abbreviation":"FinBIF","url":"https://fairsharing.org/10.25504/FAIRsharing.58bd67","doi":"10.25504/FAIRsharing.58bd67","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Finnish Biodiversity Information Facility (FinBIF) is an open access data repository for researchers, government and the public. FinBIF consolidates many collections and datasets of living Finland in a single source. Our online portal, laji.fi, allows you to browse, search and download information about all forms of biological life, and to record and share your own observations. FinBIF is committed to the sharing and promotion of open access data.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11652}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Bioinformatics","Taxonomy","Biodiversity"],"domains":["Citation","Taxonomic classification","Biobank","Resource collection","Biological sample","FAIR","Biocuration"],"taxonomies":["All"],"user_defined_tags":["citizen science"],"countries":["Finland"],"publications":[{"id":4000,"pubmed_id":null,"title":"The Finnish Biodiversity Information Facility as a best-practice model for biodiversity data infrastructures","year":2021,"url":"http://dx.doi.org/10.1038/s41597-021-00919-6","authors":"Schulman, Leif; Lahti, Kari; Piirainen, Esko; Heikkinen, Mikko; Raitio, Olli; Juslén, Aino; ","journal":"Sci Data","doi":"10.1038/s41597-021-00919-6","created_at":"2023-09-28T08:12:48.639Z","updated_at":"2023-09-28T08:12:48.639Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1548,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1545,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1551,"relation":"undefined"}],"grants":[{"id":2664,"fairsharing_record_id":2465,"organisation_id":1013,"relation":"maintains","created_at":"2021-09-30T09:25:51.669Z","updated_at":"2023-09-25T09:26:08.038Z","grant_id":null,"is_lead":true,"saved_state":{"id":1013,"name":"Finnish Museum of Natural History","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10960,"fairsharing_record_id":2465,"organisation_id":4126,"relation":"maintains","created_at":"2023-09-28T08:15:27.271Z","updated_at":"2023-09-28T08:15:27.271Z","grant_id":null,"is_lead":true,"saved_state":{"id":4126,"name":"Finnish Biodiversity Information Facility","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2466","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T14:55:44.000Z","updated_at":"2023-11-13T11:45:03.923Z","metadata":{"doi":"10.25504/FAIRsharing.pq1njd","name":"GBIF France IPT - GBIF France","status":"ready","contacts":[{"contact_email":"gbif@gbif.fr"}],"homepage":"http://ipt.gbif.fr/","identifier":2466,"description":"GBIF France aims to collect all primary biodiversity data hosted in France, regardless of whether they concern the biodiversity of French territory or the rest of the world. GBIF France also supports additional countries' nodes with the hosting of their IPTs.","abbreviation":null,"data_curation":{"url":"https://www.gbif.org/become-a-publisher","type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/","type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.gbif.org/become-a-publisher","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000948","bsg-d000948"],"name":"FAIRsharing record for: GBIF France IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pq1njd","doi":"10.25504/FAIRsharing.pq1njd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France aims to collect all primary biodiversity data hosted in France, regardless of whether they concern the biodiversity of French territory or the rest of the world. GBIF France also supports additional countries' nodes with the hosting of their IPTs.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11653}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1235,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1213,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1210,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1215,"relation":"undefined"}],"grants":[{"id":2667,"fairsharing_record_id":2466,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.751Z","updated_at":"2021-09-30T09:25:51.751Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2665,"fairsharing_record_id":2466,"organisation_id":1947,"relation":"maintains","created_at":"2021-09-30T09:25:51.702Z","updated_at":"2021-09-30T09:25:51.702Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2666,"fairsharing_record_id":2466,"organisation_id":1059,"relation":"funds","created_at":"2021-09-30T09:25:51.725Z","updated_at":"2021-09-30T09:25:51.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":1059,"name":"French Ministry of Education, Research and Innovation, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2467","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T15:01:46.000Z","updated_at":"2023-12-15T10:31:02.631Z","metadata":{"doi":"10.25504/FAIRsharing.ptp5tb","name":"GBIF Benin IPT - GBIF France","status":"ready","contacts":[{"contact_name":"Jean C. Ganglo","contact_email":"gangloc@gmail.com"}],"homepage":"http://ipt-benin.gbif.fr/","citations":[],"identifier":2467,"description":"GBIF France hosts this data repository on behalf of GBIF Benin in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2004,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000949","bsg-d000949"],"name":"FAIRsharing record for: GBIF Benin IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.ptp5tb","doi":"10.25504/FAIRsharing.ptp5tb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of GBIF Benin in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11654}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Benin","France"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1005,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1002,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":999,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1003,"relation":"undefined"}],"grants":[{"id":2668,"fairsharing_record_id":2467,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.775Z","updated_at":"2021-09-30T09:25:51.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2468","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T15:08:51.000Z","updated_at":"2023-12-15T10:30:36.810Z","metadata":{"doi":"10.25504/FAIRsharing.hwx5xr","name":"GBIF Guinea IPT - GBIF France","status":"ready","contacts":[{"contact_email":"gbif@gbif.fr"}],"homepage":"http://ipt-guinee.gbif.fr/","identifier":2468,"description":"GBIF France hosts this data repository on behalf of GBIF Guinea in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). GBIF-GUINEE is established within the Centre d'Observation de Surveillance et d'Information Environnementales (COSIE) , the signatory of the GBIF Memorandum of Understanding, as a specialized team working on the collection of biodiversity occurrence data from data publishers to enable their publication on the Internet. The node of GBIF-GUINEE is mandated to collect species occurrence data on the national and international level in order to make these available to data users and decision makers. The data collected and disseminated by COSIE enable the generation of statistics to support decision making by authorities, in order to integrate ecological considerations into programmes and plans for the socio-economic development of Guniea. These ecological considerations have the goal of protection of the environment and biological diversity.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000950","bsg-d000950"],"name":"FAIRsharing record for: GBIF Guinea IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.hwx5xr","doi":"10.25504/FAIRsharing.hwx5xr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of GBIF Guinea in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). GBIF-GUINEE is established within the Centre d'Observation de Surveillance et d'Information Environnementales (COSIE) , the signatory of the GBIF Memorandum of Understanding, as a specialized team working on the collection of biodiversity occurrence data from data publishers to enable their publication on the Internet. The node of GBIF-GUINEE is mandated to collect species occurrence data on the national and international level in order to make these available to data users and decision makers. The data collected and disseminated by COSIE enable the generation of statistics to support decision making by authorities, in order to integrate ecological considerations into programmes and plans for the socio-economic development of Guniea. These ecological considerations have the goal of protection of the environment and biological diversity.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11655}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Cameroon","France"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":83,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":72,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":81,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":77,"relation":"undefined"}],"grants":[{"id":2669,"fairsharing_record_id":2468,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.800Z","updated_at":"2021-09-30T09:25:51.800Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2454","type":"fairsharing_records","attributes":{"created_at":"2017-05-01T12:02:57.000Z","updated_at":"2023-12-15T10:32:59.588Z","metadata":{"doi":"10.25504/FAIRsharing.y0df7m","name":"Inter-university Consortium for Political and Social Research","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@icpsr.umich.edu"}],"homepage":"http://www.icpsr.umich.edu/","identifier":2454,"description":"ICPSR is a data archive of behavioral and social science research data. An international consortium of more than 750 academic institutions and research organizations, ICPSR provides leadership and training in data access, curation, and methods of analysis for the social science research community. ICPSR is a CoreTrustSeal core certified repository and was a 2019 United States National Medal for Museum and Library Service recipient, the nation’s highest honor given to museums and libraries that make significant and exceptional contributions to their communities.","abbreviation":"ICPSR","data_curation":{"url":"https://www.icpsr.umich.edu/files/datamanagement/icpsr-curation-levels.pdf","type":"manual"},"support_links":[{"url":"https://www.icpsr.umich.edu/icpsrweb/content/about/contact.html","name":"ICPSR Contact Us","type":"Contact form"},{"url":"http://www.icpsr.umich.edu/icpsrweb/ICPSR/help/","name":"ICPSR Help","type":"Help documentation"},{"url":"https://twitter.com/ICPSR","name":"@ICPSR","type":"Twitter"}],"year_creation":1962,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010255","name":"re3data:r3d100010255","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003194","name":"SciCrunch:RRID:SCR_003194","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.icpsr.umich.edu/web/ICPSR/help/","type":"partially open","notes":"Access to some datasets are restricted and applications are reviewed by the Institutional Review Board. Only ICPSR members can access all datasets."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/deposit/index.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000936","bsg-d000936"],"name":"FAIRsharing record for: Inter-university Consortium for Political and Social Research","abbreviation":"ICPSR","url":"https://fairsharing.org/10.25504/FAIRsharing.y0df7m","doi":"10.25504/FAIRsharing.y0df7m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ICPSR is a data archive of behavioral and social science research data. An international consortium of more than 750 academic institutions and research organizations, ICPSR provides leadership and training in data access, curation, and methods of analysis for the social science research community. ICPSR is a CoreTrustSeal core certified repository and was a 2019 United States National Medal for Museum and Library Service recipient, the nation’s highest honor given to museums and libraries that make significant and exceptional contributions to their communities.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11130},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12777},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12934},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19999}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Demographics","Social Science","Criminology","Data Governance","Public Health","Data Management","Psychology","Social and Behavioural Science","Political Science","Anthropology"],"domains":["Behavior","Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Education","Sociology"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ICPSR Privacy Policy","licence_id":417,"licence_url":"https://www.icpsr.umich.edu/icpsrweb/content/about/privacy.html","link_id":307,"relation":"undefined"}],"grants":[{"id":2634,"fairsharing_record_id":2454,"organisation_id":2415,"relation":"maintains","created_at":"2021-09-30T09:25:50.636Z","updated_at":"2021-09-30T09:25:50.636Z","grant_id":null,"is_lead":false,"saved_state":{"id":2415,"name":"Regents of the University of Michigan, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2635,"fairsharing_record_id":2454,"organisation_id":1393,"relation":"maintains","created_at":"2021-09-30T09:25:50.672Z","updated_at":"2021-09-30T09:25:50.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":1393,"name":"Institute for Social Research, University of Michigan, Ann Arbor, MI, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2455","type":"fairsharing_records","attributes":{"created_at":"2017-05-09T12:21:32.000Z","updated_at":"2023-10-04T08:17:57.215Z","metadata":{"doi":"10.25504/FAIRsharing.2wa7v7","name":"PhenX Toolkit","status":"ready","contacts":[{"contact_name":"PhenX Staff","contact_email":"contact@phenxtoolkit.org","contact_orcid":null}],"homepage":"https://www.phenxtoolkit.org","citations":[],"identifier":2455,"description":"The PhenX (consensus measures for Phenotypes and eXposures) Toolkit is a web-based catalog of recommended, standard measures of phenotypes and environmental exposures for use in biomedical research. The PhenX Toolkit offers well-established, broadly validated measures of phenotypes and exposures relevant to investigators in human genomics, epidemiology, and biomedical research. The measures in the Toolkit are selected by Working Groups of domain experts using a consensus process. The Toolkit provides detailed protocols, information about the measures, and tools to help investigators incorporate PhenX measures into their studies.","abbreviation":"PhenX Toolkit","data_curation":{"type":"manual","notes":"Data are reviewed by Expert Review Panels."},"support_links":[{"url":"https://www.phenxtoolkit.org/about/contact-form","name":"General Contact Form","type":"Contact form"},{"url":"https://www.phenxtoolkit.org/help/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.phenxtoolkit.org/help","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCbDroMNmfIMwCA1fa3masyw","name":"YouTube Channel","type":"Video"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"url":"https://www.phenxtoolkit.org/help/faq#question-11","type":"partially open","notes":"A small percentage of protocols have limited availability. The user will be directed to the source of the protocol."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.phenxtoolkit.org/about/criteria","type":"controlled","notes":"The protocols in the Toolkit are selected by Working Groups of domain experts using a consensus process."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000937","bsg-d000937"],"name":"FAIRsharing record for: PhenX Toolkit","abbreviation":"PhenX Toolkit","url":"https://fairsharing.org/10.25504/FAIRsharing.2wa7v7","doi":"10.25504/FAIRsharing.2wa7v7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PhenX (consensus measures for Phenotypes and eXposures) Toolkit is a web-based catalog of recommended, standard measures of phenotypes and environmental exposures for use in biomedical research. The PhenX Toolkit offers well-established, broadly validated measures of phenotypes and exposures relevant to investigators in human genomics, epidemiology, and biomedical research. The measures in the Toolkit are selected by Working Groups of domain experts using a consensus process. The Toolkit provides detailed protocols, information about the measures, and tools to help investigators incorporate PhenX measures into their studies.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12778}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science","Epidemiology"],"domains":["Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1812,"pubmed_id":26132000,"title":"Using the PhenX Toolkit to Add Standard Measures to a Study.","year":2015,"url":"http://doi.org/10.1002/0471142905.hg0121s86","authors":"Hendershot T,Pan H,Haines J,Harlan WR,Marazita ML,McCarty CA,Ramos EM,Hamilton CM","journal":"Curr Protoc Hum Genet","doi":"10.1002/0471142905.hg0121s86","created_at":"2021-09-30T08:25:43.380Z","updated_at":"2021-09-30T08:25:43.380Z"},{"id":2148,"pubmed_id":22954959,"title":"The PhenX Toolkit pregnancy and birth collections.","year":2012,"url":"http://doi.org/10.1016/j.annepidem.2012.08.004","authors":"Whitehead NS,Hammond JA,Williams MA,Huggins W,Hoover S,Hamilton CM,Ramos EM,Junkins HA,Harlan WR,Hogue CJ","journal":"Ann Epidemiol","doi":"10.1016/j.annepidem.2012.08.004","created_at":"2021-09-30T08:26:22.066Z","updated_at":"2021-09-30T08:26:22.066Z"}],"licence_links":[],"grants":[{"id":2636,"fairsharing_record_id":2455,"organisation_id":2226,"relation":"funds","created_at":"2021-09-30T09:25:50.710Z","updated_at":"2021-09-30T09:25:50.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2226,"name":"Office of Behavioral and Social Sciences Research (OBSSR), NIH, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2637,"fairsharing_record_id":2455,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:50.742Z","updated_at":"2021-09-30T09:25:50.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2638,"fairsharing_record_id":2455,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:50.776Z","updated_at":"2021-09-30T09:25:50.776Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2639,"fairsharing_record_id":2455,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:50.809Z","updated_at":"2021-09-30T09:29:21.794Z","grant_id":213,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","grant":"U41 HG007050","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2tEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6fb5773561343d6261ff50c85b37700f4b50682c/Screenshot%20from%202023-10-04%2009-17-17.png?disposition=inline","exhaustive_licences":false}},{"id":"2456","type":"fairsharing_records","attributes":{"created_at":"2017-05-09T18:11:49.000Z","updated_at":"2022-07-20T13:07:53.338Z","metadata":{"doi":"10.25504/FAIRsharing.5epybt","name":"Apollo Library","status":"deprecated","contacts":[{"contact_name":"Michael Wagner","contact_email":"mmw1@pitt.edu","contact_orcid":"0000-0002-4437-7016"}],"homepage":"https://apollodev.github.io/","identifier":2456,"description":"The Apollo Library contains machine interpretable representations of epidemics, infectious disease scenarios, and case series.","abbreviation":"Apollo Library","data_curation":{"type":"not found"},"year_creation":2016,"data_versioning":"not found","deprecation_date":"2021-05-24","deprecation_reason":"This resource no longer exists as a database, but rather as a schema, web service and controlled vocabulary. As such it is no longer within FAIRsharing's remit.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000938","bsg-d000938"],"name":"FAIRsharing record for: Apollo Library","abbreviation":"Apollo Library","url":"https://fairsharing.org/10.25504/FAIRsharing.5epybt","doi":"10.25504/FAIRsharing.5epybt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Apollo Library contains machine interpretable representations of epidemics, infectious disease scenarios, and case series.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12779}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Biomedical Science","Epidemiology"],"domains":["Infection","Disease"],"taxonomies":["Chikungunya virus","ebolavirus","rabies virus","Zika virus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 United States (CC BY 3.0 US)","licence_id":165,"licence_url":"https://creativecommons.org/licenses/by/3.0/us/","link_id":1004,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2457","type":"fairsharing_records","attributes":{"created_at":"2017-05-12T19:13:39.000Z","updated_at":"2022-01-11T14:34:49.129Z","metadata":{"doi":"10.25504/FAIRsharing.6hb7c1","name":"Chile National Health Survey 2009-2010","status":"deprecated","contacts":[{"contact_name":"jpalegre@minsal.cl","contact_email":"jpalegre@minsal.cl"}],"homepage":"http://epi.minsal.cl/bases-de-datos/","citations":[],"identifier":2457,"description":"The Chile National Health Survey 2009-2010 includes health status questionnaires including the SF-12, mental health questionnaires, physical activity questionnaires, and biological measurements taken during a physical exam.","abbreviation":"Chile NHS 2009","data_curation":{"type":"not found"},"year_creation":2009,"data_versioning":"not found","deprecation_date":"2022-01-05","deprecation_reason":"This resource no longer fits within our remit as a database. Please get in touch with us if you have information relating to this resource's status.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000939","bsg-d000939"],"name":"FAIRsharing record for: Chile National Health Survey 2009-2010","abbreviation":"Chile NHS 2009","url":"https://fairsharing.org/10.25504/FAIRsharing.6hb7c1","doi":"10.25504/FAIRsharing.6hb7c1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Chile National Health Survey 2009-2010 includes health status questionnaires including the SF-12, mental health questionnaires, physical activity questionnaires, and biological measurements taken during a physical exam.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Health Science"],"domains":[],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Chile"],"publications":[],"licence_links":[],"grants":[{"id":2640,"fairsharing_record_id":2457,"organisation_id":1854,"relation":"maintains","created_at":"2021-09-30T09:25:50.833Z","updated_at":"2021-09-30T09:25:50.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":1854,"name":"Ministerio de Salud de Chile, Chile","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2447","type":"fairsharing_records","attributes":{"created_at":"2017-04-22T14:27:08.000Z","updated_at":"2024-07-08T11:03:12.623Z","metadata":{"doi":"10.25504/FAIRsharing.ys5ta3","name":"System for Earth Sample Registration Catalog","status":"ready","contacts":[{"contact_name":"Kerstin Lehnert","contact_email":"info@geosamples.org"}],"homepage":"https://www.geosamples.org/","citations":[],"identifier":2447,"description":"SESAR operates a registry that distributes the International Geo Sample Number IGSN. SESAR catalogs and preserves metadata profiles of physical samples, and provides access to the sample catalog via the Global Sample Search.","abbreviation":"SESAR Catalog","data_curation":{"url":"https://www.geosamples.org/about/services#curationsupport","type":"manual"},"support_links":[{"url":"https://www.geosamples.org/resources/help#faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.geosamples.org/resources/help","type":"Help documentation"},{"url":"https://www.geosamples.org/vocabularies","name":"SESAR Vocabularies","type":"Help documentation"},{"url":"https://www.geosamples.org/category/news","type":"Blog/News"}],"year_creation":2005,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010420","name":"re3data:r3d100010420","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002222","name":"SciCrunch:RRID:SCR_002222","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.geosamples.org/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.geosamples.org/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000929","bsg-d000929"],"name":"FAIRsharing record for: System for Earth Sample Registration Catalog","abbreviation":"SESAR Catalog","url":"https://fairsharing.org/10.25504/FAIRsharing.ys5ta3","doi":"10.25504/FAIRsharing.ys5ta3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SESAR operates a registry that distributes the International Geo Sample Number IGSN. SESAR catalogs and preserves metadata profiles of physical samples, and provides access to the sample catalog via the Global Sample Search.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Environmental Science","Earth Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2613,"fairsharing_record_id":2447,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:49.843Z","updated_at":"2021-09-30T09:25:49.843Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2612,"fairsharing_record_id":2447,"organisation_id":1466,"relation":"maintains","created_at":"2021-09-30T09:25:49.806Z","updated_at":"2021-09-30T09:25:49.806Z","grant_id":null,"is_lead":false,"saved_state":{"id":1466,"name":"Interdisciplinary Earth Data Alliance (IEDA), Palisades, NY, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2614,"fairsharing_record_id":2447,"organisation_id":1685,"relation":"maintains","created_at":"2021-09-30T09:25:49.881Z","updated_at":"2021-09-30T09:25:49.881Z","grant_id":null,"is_lead":false,"saved_state":{"id":1685,"name":"Lamont-Doherty Earth Observatory (LDEO), Columbia University, New York, NY, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2448","type":"fairsharing_records","attributes":{"created_at":"2017-04-22T21:07:43.000Z","updated_at":"2023-12-15T10:31:28.441Z","metadata":{"doi":"10.25504/FAIRsharing.2cfr4z","name":"Allele Frequency Net Database","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"support@allelefrequencies.net"}],"homepage":"http://www.allelefrequencies.net","citations":[{"doi":"10.1093/nar/gkz1029","pubmed_id":31722398,"publication_id":2155}],"identifier":2448,"description":"The Allele Frequency Net Database (AFND) provides the scientific community with a freely available repository for the storage of frequency data (alleles, genes, haplotypes and genotypes) related to human leukocyte antigens (HLA), killer-cell immunoglobulin-like receptors (KIR), major histocompatibility complex Class I chain related genes (MIC) and a number of cytokine gene polymorphisms in worldwide populations.","abbreviation":"AFND","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://www.allelefrequencies.net/faqs.asp","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.allelefrequencies.net/collaborators.asp","name":"About","type":"Help documentation"}],"year_creation":2007,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011904","name":"re3data:r3d100011904","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007259","name":"SciCrunch:RRID:SCR_007259","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.allelefrequencies.net/faqs.asp","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000930","bsg-d000930"],"name":"FAIRsharing record for: Allele Frequency Net Database","abbreviation":"AFND","url":"https://fairsharing.org/10.25504/FAIRsharing.2cfr4z","doi":"10.25504/FAIRsharing.2cfr4z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Allele Frequency Net Database (AFND) provides the scientific community with a freely available repository for the storage of frequency data (alleles, genes, haplotypes and genotypes) related to human leukocyte antigens (HLA), killer-cell immunoglobulin-like receptors (KIR), major histocompatibility complex Class I chain related genes (MIC) and a number of cytokine gene polymorphisms in worldwide populations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Human Genetics","Biomedical Science"],"domains":["Deoxyribonucleic acid","Human leukocyte antigen complex","Genetic polymorphism","Major histocompatibility complex","Killer-cell Immunoglobulin-like Receptors","Allele","Allele frequency","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2152,"pubmed_id":null,"title":"Allele frequency net 2015 update: new features for HLA epitopes, KIR and disease and HLA adverse drug reaction associations","year":2015,"url":"https://doi.org/10.1093/nar/gku1166","authors":"Faviel F. González-Galarza Louise Y.C. Takeshita Eduardo J.M. Santos Felicity Kempson Maria Helena Thomaz Maia Andrea Luciana Soares da Silva André Luiz Teles e Silva Gurpreet S. Ghattaoraya Ana Alfirevic Andrew R. Jones Derek Middleton","journal":"Nucleic Acids Research","doi":null,"created_at":"2021-09-30T08:26:22.556Z","updated_at":"2021-09-30T11:29:51.479Z"},{"id":2155,"pubmed_id":31722398,"title":"Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1029","authors":"Gonzalez-Galarza FF,McCabe A,Santos EJMD,Jones J,Takeshita L,Ortega-Rivera ND,Cid-Pavon GMD,Ramsbottom K,Ghattaoraya G,Alfirevic A,Middleton D,Jones AR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1029","created_at":"2021-09-30T08:26:22.913Z","updated_at":"2021-09-30T11:29:30.229Z"}],"licence_links":[{"licence_name":"AFND Disclaimer \u0026 Privacy Policy","licence_id":977,"licence_url":"http://www.allelefrequencies.net/contact.asp","link_id":2821,"relation":"applies_to_content"}],"grants":[{"id":2616,"fairsharing_record_id":2448,"organisation_id":3082,"relation":"maintains","created_at":"2021-09-30T09:25:49.964Z","updated_at":"2021-09-30T09:25:49.964Z","grant_id":null,"is_lead":false,"saved_state":{"id":3082,"name":"University of Liverpool, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2615,"fairsharing_record_id":2448,"organisation_id":2827,"relation":"maintains","created_at":"2021-09-30T09:25:49.922Z","updated_at":"2021-09-30T09:25:49.922Z","grant_id":null,"is_lead":false,"saved_state":{"id":2827,"name":"The Royal Liverpool and Broadgreen Universities Hospital NHS Trust, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2449","type":"fairsharing_records","attributes":{"created_at":"2017-04-22T21:41:16.000Z","updated_at":"2024-05-21T11:41:29.717Z","metadata":{"doi":"10.25504/FAIRsharing.21tjj7","name":"Leiden Open Variation Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@LOVD.nl"}],"homepage":"https://www.lovd.nl/","citations":[{"doi":"10.1038/s41431-021-00959-x","pubmed_id":34521998,"publication_id":4276}],"identifier":2449,"description":"The Leiden Open Variation Database (LOVD) provides a flexible, freely available tool for gene-centered collection and display of DNA variations. LOVD also stores patient-centered data, NGS data, and variants outside of genes.","abbreviation":"LOVD","data_curation":{"url":"https://www.lovd.nl/3.0/docs/manual.html#[5,%22XYZ%22,57.056,785.197,null]","type":"manual/automated"},"support_links":[{"url":"https://www.lovd.nl/3.0/news","name":"News","type":"Blog/News"},{"url":"https://www.lovd.nl/3.0/contact","name":"Contact Form","type":"Contact form"},{"url":"https://www.lovd.nl/3.0/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.lovd.nl/3.0/docs/manual.html","name":"User Guide","type":"Help documentation"},{"url":"https://twitter.com/LOVD","name":"@LOVD","type":"Twitter"},{"url":"https://en.wikipedia.org/wiki/Leiden_Open_Variation_Database","name":"LOVD Wikipedia Page","type":"Wikipedia"}],"year_creation":2004,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011905","name":"re3data:r3d100011905","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006566","name":"SciCrunch:RRID:SCR_006566","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.lovd.nl/3.0/docs/manual.html#[55,%22XYZ%22,57.056,785.197,null]","type":"controlled","notes":"Some data can only be entered by persons qualified to \"manager\", \"collaborator\" or \"curator\" levels, approved by the database."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000931","bsg-d000931"],"name":"FAIRsharing record for: Leiden Open Variation Database","abbreviation":"LOVD","url":"https://fairsharing.org/10.25504/FAIRsharing.21tjj7","doi":"10.25504/FAIRsharing.21tjj7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Leiden Open Variation Database (LOVD) provides a flexible, freely available tool for gene-centered collection and display of DNA variations. LOVD also stores patient-centered data, NGS data, and variants outside of genes.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Human Genetics","Biomedical Science"],"domains":["Deoxyribonucleic acid","Genetic polymorphism","Phenotype","Disease","Gene","Sequence variant","Genetic disorder"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Functional impact of genetic variants"],"countries":["Netherlands"],"publications":[{"id":2134,"pubmed_id":15977173,"title":"LOVD: easy creation of a locus-specific sequence variation database using an \"LSDB-in-a-box\" approach.","year":2005,"url":"http://doi.org/10.1002/humu.20201","authors":"Fokkema IF, den Dunnen JT, Taschner PE","journal":"Human Mutation","doi":"10.1002/humu.20201","created_at":"2021-09-30T08:26:20.624Z","updated_at":"2021-09-30T08:26:20.624Z"},{"id":2177,"pubmed_id":21520333,"title":"LOVD v.2.0: the next generation in gene variant databases.","year":2011,"url":"http://doi.org/10.1002/humu.21438","authors":"Fokkema IF, Taschner PE, Schaafsma GC, Celli J, Laros JF, den Dunnen JT","journal":"Human Mutation","doi":"10.1002/humu.21438","created_at":"2021-09-30T08:26:25.377Z","updated_at":"2021-09-30T08:26:25.377Z"},{"id":4276,"pubmed_id":34521998,"title":"The LOVD3 platform: efficient genome-wide sharing of genetic variants.","year":2021,"url":"https://doi.org/10.1038/s41431-021-00959-x","authors":"Fokkema IFAC, Kroon M, López Hernández JA, Asscheman D, Lugtenburg I, Hoogenboom J, den Dunnen JT","journal":"European journal of human genetics : EJHG","doi":"10.1038/s41431-021-00959-x","created_at":"2024-05-08T10:09:44.677Z","updated_at":"2024-05-08T10:09:44.677Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":162,"relation":"undefined"}],"grants":[{"id":2619,"fairsharing_record_id":2449,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:50.058Z","updated_at":"2021-09-30T09:29:49.954Z","grant_id":425,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"200754","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2618,"fairsharing_record_id":2449,"organisation_id":1705,"relation":"maintains","created_at":"2021-09-30T09:25:50.034Z","updated_at":"2021-09-30T09:25:50.034Z","grant_id":null,"is_lead":true,"saved_state":{"id":1705,"name":"Leiden University Medical Center (LUMC), Leiden, The Netherlands","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2450","type":"fairsharing_records","attributes":{"created_at":"2017-05-30T02:42:48.000Z","updated_at":"2021-11-24T13:13:06.262Z","metadata":{"doi":"10.25504/FAIRsharing.c7c4h1","name":"Visual Database for Organelle Genome","status":"deprecated","contacts":[{"contact_name":"Yiqing Xu","contact_email":"yiqingxu@njfu.edu.cn","contact_orcid":"0000-0002-7962-6668"}],"homepage":"http://bio.njfu.edu.cn/VDOG","identifier":2450,"description":"VDOG, Visual Database for Organelle Genome is an innovative database of the genome information in the organelles. Most of the data in VDOG are originally extracted from GeneBank, re-organized and represented.","abbreviation":"VDOG","data_curation":{"type":"not found"},"support_links":[{"url":"yiqingxu@njfu.edu.cn","type":"Support email"},{"url":"http://bio.njfu.edu.cn/VDOG/howto.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://bio.njfu.edu.cn/VDOG/intro.php","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","associated_tools":[{"url":"http://bio.njfu.edu.cn/CPTree","name":"CPTree 1.2"},{"url":"http://bio.njfu.edu.cn/MTTree","name":"MTTree beta"},{"url":"http://ogdraw.mpimp-golm.mpg.de/","name":"OrganellarGenomeDRAW 1.2"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000932","bsg-d000932"],"name":"FAIRsharing record for: Visual Database for Organelle Genome","abbreviation":"VDOG","url":"https://fairsharing.org/10.25504/FAIRsharing.c7c4h1","doi":"10.25504/FAIRsharing.c7c4h1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VDOG, Visual Database for Organelle Genome is an innovative database of the genome information in the organelles. Most of the data in VDOG are originally extracted from GeneBank, re-organized and represented.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Data Visualization"],"domains":["Organelle","Mitochondrial sequence","Plastid sequence","Chloroplast sequence"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["China"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1038,"relation":"undefined"}],"grants":[{"id":2620,"fairsharing_record_id":2450,"organisation_id":1928,"relation":"maintains","created_at":"2021-09-30T09:25:50.083Z","updated_at":"2021-09-30T09:25:50.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":1928,"name":"Nanjing Forestry University","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2434","type":"fairsharing_records","attributes":{"created_at":"2017-04-18T19:06:37.000Z","updated_at":"2023-12-15T10:27:35.202Z","metadata":{"doi":"10.25504/FAIRsharing.t43bf6","name":"UK Polar Data Centre Discovery Metadata System","status":"ready","contacts":[{"contact_name":"General Information","contact_email":"polardatacentre@bas.ac.uk"}],"homepage":"https://www.bas.ac.uk/data/uk-pdc/","citations":[],"identifier":2434,"description":"The UK Polar Data Centre (UK PDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for polar science. It is the focal point for Arctic and Antarctic environmental data management in the UK.","abbreviation":"UK PDC Discovery Metadata System","data_curation":{"url":"https://www.bas.ac.uk/data/uk-pdc/contacts/","type":"manual"},"support_links":[{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"},{"url":"https://www.bas.ac.uk/data/uk-pdc/metadata-guidance/","name":"Metadata Guidance","type":"Help documentation"},{"url":"https://www.bas.ac.uk/data/uk-pdc/data-citation-and-publishing/","name":"About Data Citation","type":"Help documentation"},{"url":"https://twitter.com/BAS_News","name":"@BAS_News","type":"Twitter"}],"data_versioning":"no","associated_tools":[{"url":"https://data.bas.ac.uk/","name":"Discovery Metadata System"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010120","name":"re3data:r3d100010120","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.bas.ac.uk/wp-content/uploads/2020/05/PDC_digital_data_preservation_policy_v1.0.pdf","name":"UK PDC Digital Data preservation policy"},"data_deposition_condition":{"url":"https://www.bas.ac.uk/data/uk-pdc/data-deposit/","type":"controlled","notes":"Data deposit"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000916","bsg-d000916"],"name":"FAIRsharing record for: UK Polar Data Centre Discovery Metadata System","abbreviation":"UK PDC Discovery Metadata System","url":"https://fairsharing.org/10.25504/FAIRsharing.t43bf6","doi":"10.25504/FAIRsharing.t43bf6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Polar Data Centre (UK PDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for polar science. It is the focal point for Arctic and Antarctic environmental data management in the UK.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"BAS Privacy and Cookie Policy","licence_id":56,"licence_url":"https://www.bas.ac.uk/about-this-site/privacy-cookie-policy/","link_id":1501,"relation":"undefined"}],"grants":[{"id":2585,"fairsharing_record_id":2434,"organisation_id":2090,"relation":"maintains","created_at":"2021-09-30T09:25:48.733Z","updated_at":"2021-09-30T09:25:48.733Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2586,"fairsharing_record_id":2434,"organisation_id":312,"relation":"maintains","created_at":"2021-09-30T09:25:48.757Z","updated_at":"2021-09-30T09:25:48.757Z","grant_id":null,"is_lead":true,"saved_state":{"id":312,"name":"British Antarctic Survey, National Environmental Research Council (NERC), Cambridge, UK","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBallDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a62a9988ed1db3a47c4066b593cd15d07ef38486/Screenshot%20from%202022-12-17%2010-42-23.png?disposition=inline","exhaustive_licences":false}},{"id":"2451","type":"fairsharing_records","attributes":{"created_at":"2017-04-28T19:30:55.000Z","updated_at":"2023-06-23T09:34:54.634Z","metadata":{"doi":"10.25504/FAIRsharing.2g5kcb","name":"Research Data Australia","status":"ready","contacts":[{"contact_name":"Cel Pilapil","contact_email":"services@ardc.edu.au"}],"homepage":"https://researchdata.edu.au/","identifier":2451,"description":"Research Data Australia is the data discovery service of the Australian Research Data Commons (ARDC). Research Data Australia helps you find, access, and reuse data for research from over one hundred Australian research organisations, government agencies, and cultural institutions. This services indexes metadata about the data stored by their data publishing partners, providing links out to the primary data.","abbreviation":"RDA","data_curation":{"url":"https://documentation.ardc.edu.au/display/DOC/Content+Providers+Guide","type":"manual/automated"},"support_links":[{"url":"https://researchdata.edu.au/page/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/ARDC_AU","name":"@ARDC_AU","type":"Twitter"}],"year_creation":2008,"data_versioning":"not found","associated_tools":[{"url":"https://researchdata.edu.au/theme/services","name":"Tool List"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010464","name":"re3data:r3d100010464","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{"url":"https://www.education.gov.au/ncris","name":"National Collaborative Research Infrastructure Strategy (NCRIS)"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://researchdata.edu.au/contributors-list","type":"controlled","notes":"https://documentation.ardc.edu.au/display/DOC/Providing+metadata+records+to+Research+Data+Australia"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000933","bsg-d000933"],"name":"FAIRsharing record for: Research Data Australia","abbreviation":"RDA","url":"https://fairsharing.org/10.25504/FAIRsharing.2g5kcb","doi":"10.25504/FAIRsharing.2g5kcb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Research Data Australia is the data discovery service of the Australian Research Data Commons (ARDC). Research Data Australia helps you find, access, and reuse data for research from over one hundred Australian research organisations, government agencies, and cultural institutions. This services indexes metadata about the data stored by their data publishing partners, providing links out to the primary data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Marine Biology","Humanities and Social Science","Urban Planning","Astrophysics and Astronomy","Materials Science","Subject Agnostic","Biology","Tropical Medicine","Ecosystem Science"],"domains":["Resource metadata","Tropical","Climate","Ecosystem"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[],"grants":[{"id":2622,"fairsharing_record_id":2451,"organisation_id":146,"relation":"maintains","created_at":"2021-09-30T09:25:50.156Z","updated_at":"2021-09-30T09:25:50.156Z","grant_id":null,"is_lead":false,"saved_state":{"id":146,"name":"Australian National University, Australia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2621,"fairsharing_record_id":2451,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:50.114Z","updated_at":"2021-09-30T09:25:50.114Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2623,"fairsharing_record_id":2451,"organisation_id":568,"relation":"maintains","created_at":"2021-09-30T09:25:50.197Z","updated_at":"2021-09-30T09:25:50.197Z","grant_id":null,"is_lead":false,"saved_state":{"id":568,"name":"Commonwealth Scientific and Industrial Research Organisation","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2624,"fairsharing_record_id":2451,"organisation_id":1892,"relation":"maintains","created_at":"2021-09-30T09:25:50.235Z","updated_at":"2021-09-30T09:25:50.235Z","grant_id":null,"is_lead":false,"saved_state":{"id":1892,"name":"Monash University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10650,"fairsharing_record_id":2451,"organisation_id":150,"relation":"maintains","created_at":"2023-06-08T10:06:14.917Z","updated_at":"2023-06-08T10:06:14.917Z","grant_id":null,"is_lead":true,"saved_state":{"id":150,"name":"Australian Research Data Commons","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2452","type":"fairsharing_records","attributes":{"created_at":"2017-04-28T20:35:03.000Z","updated_at":"2024-03-21T13:58:03.378Z","metadata":{"doi":"10.25504/FAIRsharing.t2e1ss","name":"Harvard Dataverse Repository","status":"ready","contacts":[{"contact_name":"Harvard Dataverse Support","contact_email":"support@dataverse.harvard.edu","contact_orcid":null}],"homepage":"https://dataverse.harvard.edu","citations":[],"identifier":2452,"description":"Harvard Dataverse Repository is a research data repository running on the open source Dataverse software. The repository is fully open to the public, allows upload and browsing of data from all fields of research, and is free for all researchers worldwide.\n\nHarvard Dataverse Repository receives support from Harvard University, public and private grants, and an emergent consortium model.","abbreviation":null,"data_curation":{"url":"https://support.dataverse.harvard.edu/curation-services","type":"manual/automated","notes":"Curation and Data Management Services"},"support_links":[{"url":"https://dataverse.org/blog","name":"Blog","type":"Blog/News"},{"url":"http://guides.dataverse.org/en/latest/user/","name":"Dataverse User Guide","type":"Help documentation"},{"url":"https://twitter.com/dataverseorg","name":"@dataverseorg","type":"Twitter"},{"url":"https://support.dataverse.harvard.edu/","name":"Support website","type":"Help documentation"},{"url":"https://dataverse.org/best-practices/data-citation","name":"Data Citation Best Practices","type":"Help documentation"}],"year_creation":1999,"data_versioning":"yes","associated_tools":[{"url":"https://guides.dataverse.org/en/latest/admin/external-tools.html","name":"External Tools"}],"cross_references":[{"url":"http://doi.org/10.17616/R3C880","name":"re3data:r3d100010051","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_001997","name":"SciCrunch:RRID:SCR_001997","portal":"SciCrunch"}],"data_access_condition":{"type":"open","notes":"https://guides.dataverse.org/en/5.13/user/find-use-data.html"},"resource_sustainability":{"url":"https://www.iq.harvard.edu/roadmap-dataverse-project","name":"Roadmap: The Dataverse Project Strategic Goals"},"data_contact_information":"yes","data_preservation_policy":{"url":"https://support.dataverse.harvard.edu/harvard-dataverse-preservation-policy","name":"Preservation Policy"},"data_deposition_condition":{"url":"https://support.dataverse.harvard.edu/harvard-dataverse-general-terms-use","type":"open","notes":"User account registration required. Upload limit of 2.5 GB; 1 TB storage space per researcher."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000934","bsg-d000934"],"name":"FAIRsharing record for: Harvard Dataverse Repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.t2e1ss","doi":"10.25504/FAIRsharing.t2e1ss","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Harvard Dataverse Repository is a research data repository running on the open source Dataverse software. The repository is fully open to the public, allows upload and browsing of data from all fields of research, and is free for all researchers worldwide.\n\nHarvard Dataverse Repository receives support from Harvard University, public and private grants, and an emergent consortium model.","linked_records":[],"linking_records":[{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12924},{"linking_record_name":"National Transportation Data Preservation Network (NTDPN)","linking_record_id":3542,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12933},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15080}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Experimental measurement","Protocol"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":467,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":464,"relation":"undefined"},{"licence_name":"Harvard Dataverse API Terms of Use","licence_id":378,"licence_url":"https://dataverse.org/best-practices/harvard-api-tou","link_id":459,"relation":"undefined"},{"licence_name":"Harvard Dataverse General Terms of Use","licence_id":379,"licence_url":"https://dataverse.org/best-practices/harvard-dataverse-general-terms-use","link_id":453,"relation":"undefined"},{"licence_name":"Harvard Dataverse Preservation Policy","licence_id":380,"licence_url":"https://dataverse.org/best-practices/harvard-dataverse-preservation-policy","link_id":455,"relation":"undefined"},{"licence_name":"Harvard Dataverse Privacy Policy","licence_id":381,"licence_url":"https://dataverse.org/best-practices/harvard-dataverse-privacy-policy","link_id":446,"relation":"undefined"}],"grants":[{"id":2625,"fairsharing_record_id":2452,"organisation_id":1239,"relation":"maintains","created_at":"2021-09-30T09:25:50.272Z","updated_at":"2021-09-30T09:25:50.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":1239,"name":"Henry A. Murray Research Archives","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2628,"fairsharing_record_id":2452,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:50.397Z","updated_at":"2021-09-30T09:25:50.397Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2631,"fairsharing_record_id":2452,"organisation_id":1216,"relation":"funds","created_at":"2021-09-30T09:25:50.515Z","updated_at":"2021-09-30T09:25:50.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":1216,"name":"Harvard University, Cambridge, MA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2627,"fairsharing_record_id":2452,"organisation_id":1706,"relation":"funds","created_at":"2021-09-30T09:25:50.356Z","updated_at":"2021-09-30T09:25:50.356Z","grant_id":null,"is_lead":false,"saved_state":{"id":1706,"name":"Leona M. and Harry B. Helmsley Charitable Trust, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2630,"fairsharing_record_id":2452,"organisation_id":2763,"relation":"maintains","created_at":"2021-09-30T09:25:50.473Z","updated_at":"2021-09-30T09:25:50.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":2763,"name":"The Dataverse Project","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2632,"fairsharing_record_id":2452,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:50.556Z","updated_at":"2021-09-30T09:25:50.556Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11526,"fairsharing_record_id":2452,"organisation_id":2788,"relation":"maintains","created_at":"2024-03-21T13:58:02.046Z","updated_at":"2024-03-21T13:58:02.046Z","grant_id":null,"is_lead":false,"saved_state":{"id":2788,"name":"The Institute for Quantitative Social Service, Harvard University","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9378,"fairsharing_record_id":2452,"organisation_id":54,"relation":"funds","created_at":"2022-04-11T12:07:34.301Z","updated_at":"2022-04-11T12:07:34.301Z","grant_id":null,"is_lead":false,"saved_state":{"id":54,"name":"Alfred P. Sloan Foundation, New York, NY, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaFlCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3c8241aa5d8bbb73ddbc3e105cffcce500b49d1c/logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2453","type":"fairsharing_records","attributes":{"created_at":"2017-05-01T10:47:29.000Z","updated_at":"2023-06-23T09:50:28.178Z","metadata":{"doi":"10.25504/FAIRsharing.3epmpp","name":"Mendeley Data","status":"ready","contacts":[{"contact_name":"Luca Belletti","contact_email":"l.belletti@elsevier.com","contact_orcid":"0000-0000-0000-0000"}],"homepage":"https://data.mendeley.com","citations":[],"identifier":2453,"description":"Mendeley Data is a multidisciplinary, free-to-use open repository specialised for research data. Files of any format can be uploaded and shared with the research community following the FAIR data principles, up to a maximum of 10GB per dataset. Each version of a dataset is given a unique DOI, and dark archived with DANS (Data Archiving and Networking Services), ensuring that every dataset and citation will be valid in perpetuity. Datasets can be licensed under a range of open licences, and datasets are and will continue to be free access. Mendeley Data supports embargoing of data both generally and while undergoing peer review. It is funded by a subscription model for Academic \u0026 Government entities.","abbreviation":"Mendeley Data","data_curation":{"url":"https://data.mendeley.com/about","type":"manual","notes":"Digital Commons Data supports curation of datasets by institutional librarians and data stewards. Users can establish a custom metadata template with fields for all datasets."},"support_links":[{"url":"https://data.mendeley.com/faq#mendeley-data","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://data.mendeley.com/file-formats","name":"Supported File Formats","type":"Help documentation"},{"url":"https://service.elsevier.com/app/contact/supporthub/mendeley","name":"Contact Form","type":"Contact form"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://www.elsevier.com/solutions/data-monitor","name":"Data Monitor"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011868","name":"re3data:r3d100011868","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_015671","name":"SciCrunch:RRID:SCR_015671","portal":"SciCrunch"}],"data_access_condition":{"url":"https://data.mendeley.com/accessibility","type":"open","notes":"Open or restricted access to dataset contents; provides embargo support."},"resource_sustainability":{"url":"https://data.mendeley.com/mission","name":"Digital Commons Data Repository Platform"},"data_contact_information":"no","data_preservation_policy":{"url":"https://data.mendeley.com/archive-process","name":"Long-term preservation of data, all published datasets are stored with a third-party archive, Data Archiving and Network Services (DANS). Long-term access in the event of cease of operations is granted by DANS for free in perpetuity. Access to archival datasets are provided for free in perpetuity."},"data_deposition_condition":{"url":"https://www.mendeley.com/terms/#3_Acceptable_Use","type":"controlled","notes":"Requires authenticated registration for deposit (accepts institution Ringgold IDs). Total file size limit of 10 GB per dataset. Storage space per researcher is unlimited."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000935","bsg-d000935"],"name":"FAIRsharing record for: Mendeley Data","abbreviation":"Mendeley Data","url":"https://fairsharing.org/10.25504/FAIRsharing.3epmpp","doi":"10.25504/FAIRsharing.3epmpp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mendeley Data is a multidisciplinary, free-to-use open repository specialised for research data. Files of any format can be uploaded and shared with the research community following the FAIR data principles, up to a maximum of 10GB per dataset. Each version of a dataset is given a unique DOI, and dark archived with DANS (Data Archiving and Networking Services), ensuring that every dataset and citation will be valid in perpetuity. Datasets can be licensed under a range of open licences, and datasets are and will continue to be free access. Mendeley Data supports embargoing of data both generally and while undergoing peer review. It is funded by a subscription model for Academic \u0026 Government entities.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10819},{"linking_record_name":"General Repository Comparison","linking_record_id":3541,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12925}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic","Data Visualization"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands","United Kingdom"],"publications":[],"licence_links":[{"licence_name":"2-Clause BSD License (BSD-2-Clause) (Simplified BSD License) (FreeBSD License)","licence_id":2,"licence_url":"https://opensource.org/licenses/BSD-2-Clause","link_id":733,"relation":"undefined"},{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":729,"relation":"undefined"},{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":730,"relation":"undefined"},{"licence_name":"CeCILL-B","licence_id":111,"licence_url":"https://cecill.info/licences/Licence_CeCILL-B_V1-en.html","link_id":741,"relation":"undefined"},{"licence_name":"CERN OHL","licence_id":118,"licence_url":"https://ohwr.org/cernohl","link_id":743,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":724,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)","licence_id":171,"licence_url":"https://creativecommons.org/licenses/by-nc/3.0/","link_id":726,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":723,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 2.0","licence_id":355,"licence_url":"https://www.gnu.org/licenses/gpl-2.0.html","link_id":737,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":736,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":738,"relation":"undefined"},{"licence_name":"Mendeley Terms of Use","licence_id":504,"licence_url":"https://data.mendeley.com/terms/","link_id":721,"relation":"undefined"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":728,"relation":"undefined"},{"licence_name":"Mozilla Public Licence Version 2.0 (MPL 2.0)","licence_id":524,"licence_url":"https://www.mozilla.org/en-US/MPL/2.0/","link_id":739,"relation":"undefined"},{"licence_name":"TAPR OHL","licence_id":771,"licence_url":"https://tapr.org/the-tapr-open-hardware-license/","link_id":744,"relation":"undefined"}],"grants":[{"id":9204,"fairsharing_record_id":2453,"organisation_id":850,"relation":"maintains","created_at":"2022-04-11T12:07:21.931Z","updated_at":"2022-04-11T12:07:21.931Z","grant_id":null,"is_lead":true,"saved_state":{"id":850,"name":"Elsevier Inc, Amsterdam, Netherlands","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2485","type":"fairsharing_records","attributes":{"created_at":"2017-07-18T21:03:56.000Z","updated_at":"2023-12-15T10:32:48.872Z","metadata":{"doi":"10.25504/FAIRsharing.szj2xw","name":"Health and Medical Care Archive","status":"ready","contacts":[{"contact_name":"Sara Britt","contact_email":"hmca@icpsr.umich.edu"}],"homepage":"https://www.icpsr.umich.edu/web/pages/HMCA/index.html","identifier":2485,"description":"The Health and Medical Care Archive (HMCA) is the data archive of the Robert Wood Johnson Foundation (RWJF), the largest philanthropy devoted exclusively to health and health care in the United States. Operated by the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan with funding from RWJF, HMCA preserves and disseminates data collected by selected research projects funded by RWJF and facilitates secondary analyses of the data. The data collections in HMCA primarily includes large-scale surveys of the American public about public health, attitudes towards health reform, and access to medical care; surveys of health care professionals and organizations, public health professionals, and nurses; evaluations of innovative programs for the delivery of health care, and many other topics and populations of interest. Our goal is to build a culture of health by increasing the understanding of health and health care and the factors that contribute to health in the United States through secondary analysis of RWJF-supported data collections.","abbreviation":"HMCA","data_curation":{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/deposit.html","type":"manual"},"support_links":[{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/faq.html","name":"Get Help","type":"Help documentation"},{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/deposit-tips.html","name":"Tips for Preparing Data for Deposit","type":"Help documentation"}],"year_creation":1985,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010257","name":"re3data:r3d100010257","portal":"re3data"}],"data_access_condition":{"url":"https://www.icpsr.umich.edu/web/HMCA/cms/2048","type":"partially open","notes":"To access data files, users must login to ICPSR. Documentation files do not require users to log in. Restricted data access requires a specific application."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/HMCA/deposit.html","type":"open","notes":"Self publication and curated data deposit are the two submission options."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000967","bsg-d000967"],"name":"FAIRsharing record for: Health and Medical Care Archive","abbreviation":"HMCA","url":"https://fairsharing.org/10.25504/FAIRsharing.szj2xw","doi":"10.25504/FAIRsharing.szj2xw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Health and Medical Care Archive (HMCA) is the data archive of the Robert Wood Johnson Foundation (RWJF), the largest philanthropy devoted exclusively to health and health care in the United States. Operated by the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan with funding from RWJF, HMCA preserves and disseminates data collected by selected research projects funded by RWJF and facilitates secondary analyses of the data. The data collections in HMCA primarily includes large-scale surveys of the American public about public health, attitudes towards health reform, and access to medical care; surveys of health care professionals and organizations, public health professionals, and nurses; evaluations of innovative programs for the delivery of health care, and many other topics and populations of interest. Our goal is to build a culture of health by increasing the understanding of health and health care and the factors that contribute to health in the United States through secondary analysis of RWJF-supported data collections.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12781}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Public Health","Health Science","Primary Health Care","Community Care"],"domains":["Substance abuse","Resource collection","Behavior","Curated information","Nurse","Mental health"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2694,"fairsharing_record_id":2485,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:25:52.732Z","updated_at":"2021-09-30T09:25:52.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2695,"fairsharing_record_id":2485,"organisation_id":2454,"relation":"funds","created_at":"2021-09-30T09:25:52.774Z","updated_at":"2021-09-30T09:30:23.214Z","grant_id":688,"is_lead":false,"saved_state":{"id":2454,"name":"Robert Wood Johnson Foundation","grant":"75220","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2486","type":"fairsharing_records","attributes":{"created_at":"2017-07-18T21:25:13.000Z","updated_at":"2023-06-23T11:11:36.292Z","metadata":{"doi":"10.25504/FAIRsharing.v4mara","name":"Data Sharing for Demographic Research","status":"ready","contacts":[{"contact_name":"John Marcotte","contact_email":"jemarcot@umich.edu"}],"homepage":"http://dsdr.icpsr.umich.edu/","identifier":2486,"description":"Data Sharing for Demographic Research (DSDR) supports the demographic community by disseminating, archiving, and preserving data relevant for population studies. The mission of DSDR is to serve as a locus of information for researchers who collect, analyze, and distribute primary data as well as researchers who analyze secondary data. DSDR aims to foster interdisciplinary collaborations between Demography and other disciplines. DSDR is located within ICPSR and supported by the Population Dynamics Branch (PDB) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (U24 HD048404).","abbreviation":"DSDR","data_curation":{"url":"https://www.icpsr.umich.edu/web/pages/DSDR/deposit.html#after","type":"manual"},"support_links":[{"url":"http://www.icpsr.umich.edu/icpsrweb/content/DSDR/help.html","name":"Help FAQs and User Support","type":"Help documentation"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010256","name":"re3data:r3d100010256","portal":"re3data"}],"data_access_condition":{"url":"https://www.icpsr.umich.edu/web/DSDR/cms/2010","type":"partially open","notes":"Some datasets have restricted availability for confidential reasons."},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.icpsr.umich.edu/web/pages/DSDR/deposit.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000968","bsg-d000968"],"name":"FAIRsharing record for: Data Sharing for Demographic Research","abbreviation":"DSDR","url":"https://fairsharing.org/10.25504/FAIRsharing.v4mara","doi":"10.25504/FAIRsharing.v4mara","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Data Sharing for Demographic Research (DSDR) supports the demographic community by disseminating, archiving, and preserving data relevant for population studies. The mission of DSDR is to serve as a locus of information for researchers who collect, analyze, and distribute primary data as well as researchers who analyze secondary data. DSDR aims to foster interdisciplinary collaborations between Demography and other disciplines. DSDR is located within ICPSR and supported by the Population Dynamics Branch (PDB) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (U24 HD048404).","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10820},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12782}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Demographics","Social Science","Population Dynamics","Data Management"],"domains":["Behavior","Curated information"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2696,"fairsharing_record_id":2486,"organisation_id":1308,"relation":"maintains","created_at":"2021-09-30T09:25:52.815Z","updated_at":"2021-09-30T09:25:52.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":1308,"name":"ICPSR, Institute for Social Research, Ann Arbor, MI, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2698,"fairsharing_record_id":2486,"organisation_id":897,"relation":"funds","created_at":"2021-09-30T09:25:52.887Z","updated_at":"2021-09-30T09:29:53.196Z","grant_id":451,"is_lead":false,"saved_state":{"id":897,"name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","grant":"U24 HD048404","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9167,"fairsharing_record_id":2486,"organisation_id":2347,"relation":"funds","created_at":"2022-04-11T12:07:18.840Z","updated_at":"2022-04-11T12:07:18.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":2347,"name":"Population Dynamics Branch, The Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2487","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T09:30:51.000Z","updated_at":"2023-12-15T10:32:55.073Z","metadata":{"doi":"10.25504/FAIRsharing.k297hk","name":"Ocean Biodiversity Information System IPT","status":"ready","contacts":[{"contact_name":"Ward Appeltans","contact_email":"w.appeltans@unesco.org"}],"homepage":"http://ipt.vliz.be/","identifier":2487,"description":"OBIS provides data hosting and helpdesk support to publishers of marine data around the globe. EurOBIS/Flanders Marine Institute (VLIZ) hosts multiple IPT installations on behalf of various OBIS Nodes. Currently, there are more than 20 OBIS Nodes around the world connecting 500 institutions from 56 countries.","abbreviation":"OBIS IPT","data_curation":{"type":"none"},"support_links":[{"url":"http://www.iobis.org/feed.xml","type":"Blog/News"},{"url":"https://twitter.com/obisnetwork","name":"@obisnetwork","type":"Twitter"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000969","bsg-d000969"],"name":"FAIRsharing record for: Ocean Biodiversity Information System IPT","abbreviation":"OBIS IPT","url":"https://fairsharing.org/10.25504/FAIRsharing.k297hk","doi":"10.25504/FAIRsharing.k297hk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: OBIS provides data hosting and helpdesk support to publishers of marine data around the globe. EurOBIS/Flanders Marine Institute (VLIZ) hosts multiple IPT installations on behalf of various OBIS Nodes. Currently, there are more than 20 OBIS Nodes around the world connecting 500 institutions from 56 countries.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11668}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Marine environment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2201,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2198,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2200,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2199,"relation":"undefined"}],"grants":[{"id":2699,"fairsharing_record_id":2487,"organisation_id":2207,"relation":"maintains","created_at":"2021-09-30T09:25:52.924Z","updated_at":"2021-09-30T09:25:52.924Z","grant_id":null,"is_lead":false,"saved_state":{"id":2207,"name":"OBIS","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2488","type":"fairsharing_records","attributes":{"created_at":"2017-07-19T18:07:55.000Z","updated_at":"2024-04-09T08:52:01.662Z","metadata":{"doi":"10.25504/FAIRsharing.6bvac4","name":"China Data Center","status":"deprecated","contacts":[{"contact_name":"Ling Ling Zhang","contact_email":"llzhang@umich.edu"}],"homepage":"http://chinadatacenter.org/","citations":[],"identifier":2488,"description":"Founded in 1997, the China Data Center was designed to serve as an international center for advancing the study and understanding of China. A primary goal of the Center was the integration of historical, social and natural science data in a geographic information system. Its missions were: to support research in the human and natural components of local, regional and global change; to promote quantitative research on China; to promote collaborative research in spatial studies; and to promote the use and sharing of China data in teaching and research. The center was partnered with several Chinese government agencies and companies in distributing China statistical data and publications and providing data services outside of China. Building upon other efforts, including the China in Time and Space project, the Center brought together data inaccessible to many scholars because of format and language difficulty. A fundamental role of the Center was the development of cooperative endeavors with China, with other universities, and institutions around the world.","abbreviation":"CDC","data_curation":{"type":"not found"},"year_creation":1997,"data_versioning":"not found","deprecation_date":"2018-10-11","deprecation_reason":"As stated in an announcement on the CDC homepage, the CDC website and associated CDC websites are no longer available. Following a comprehensive internal review, the ICPSR and the University of Michigan have determined that they will no longer host the CDC and its related websites and tools. CDC customers with subscription periods running beyond September 2018 will be contacted in the coming weeks to begin the process of refunding prepaid (prorated) amounts. ","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000970","bsg-d000970"],"name":"FAIRsharing record for: China Data Center","abbreviation":"CDC","url":"https://fairsharing.org/10.25504/FAIRsharing.6bvac4","doi":"10.25504/FAIRsharing.6bvac4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Founded in 1997, the China Data Center was designed to serve as an international center for advancing the study and understanding of China. A primary goal of the Center was the integration of historical, social and natural science data in a geographic information system. Its missions were: to support research in the human and natural components of local, regional and global change; to promote quantitative research on China; to promote collaborative research in spatial studies; and to promote the use and sharing of China data in teaching and research. The center was partnered with several Chinese government agencies and companies in distributing China statistical data and publications and providing data services outside of China. Building upon other efforts, including the China in Time and Space project, the Center brought together data inaccessible to many scholars because of format and language difficulty. A fundamental role of the Center was the development of cooperative endeavors with China, with other universities, and institutions around the world.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Social Science"],"domains":["Geographical location"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Geographic Information System (GIS)"],"countries":["China","United States"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2489","type":"fairsharing_records","attributes":{"created_at":"2017-07-24T12:59:31.000Z","updated_at":"2023-12-15T10:32:34.448Z","metadata":{"doi":"10.25504/FAIRsharing.5nnxqn","name":"eyeGENE: The National Ophthalmic Genotyping and Phenotyping Network","status":"ready","contacts":[{"contact_name":"Kerry Goetz","contact_email":"goetzke@nei.nih.gov","contact_orcid":"0000-0002-9821-7704"}],"homepage":"https://eyegene.nih.gov","identifier":2489,"description":"The National Ophthalmic Disease Genotyping and Phenotyping Network (eyeGENE®) is a genomic medicine initiative created by the National Eye Institute (NEI), part of the National Institutes of Health (NIH), in partnership with clinics and laboratories across the vision research community. The core mission of eyeGENE® is to facilitate research into the causes and mechanisms of rare inherited eye diseases and accelerate pathways to treatments. eyeGENE® was designed to achieve this goal through clinical and molecular diagnosis coupled with granting controlled access to clinical and genetic information in a data repository, to DNA in a biorepository, and to individuals consented to participate in research and clinical trials. The eyeGENE® Network currently includes a Coordinating Center at the NEI, CLIA†-approved molecular genetic testing laboratories around the Nation, a patient registry, controlled-access centralized biorepository for DNA, and a curated de-identified genotype / phenotype database. These components stimulate patient and eye health care provider interest in genetics-based clinical care and generate involvement in ophthalmic research, thereby accelerating vision research and treatment development for these diseases.","abbreviation":"eyeGENE","data_curation":{"url":"https://eyegene.nih.gov/how-to/contribute-data","type":"manual/automated","notes":"Data validation tool is used to ensure data quality."},"support_links":[{"url":"https://eyegene.nih.gov/news","name":"News","type":"Blog/News"},{"url":"https://eyegene.nih.gov/about/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://eyegene.nih.gov/how-to/get-an-account","name":"How to get an account","type":"Help documentation"},{"url":"https://eyegene.nih.gov/how-to/access-data","name":"How to access data","type":"Help documentation"},{"url":"https://eyegene.nih.gov/news/webinars","name":"Webinars","type":"Help documentation"}],"year_creation":2006,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012836","name":"re3data:r3d100012836","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004523","name":"SciCrunch:RRID:SCR_004523","portal":"SciCrunch"}],"data_access_condition":{"url":"https://eyegene.nih.gov/how-to/access-data","type":"controlled","notes":"Log in and data access request(s) are required."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://eyegene.nih.gov/how-to/contribute-data","type":"controlled","notes":"Log in and data submission request are required."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000971","bsg-d000971"],"name":"FAIRsharing record for: eyeGENE: The National Ophthalmic Genotyping and Phenotyping Network","abbreviation":"eyeGENE","url":"https://fairsharing.org/10.25504/FAIRsharing.5nnxqn","doi":"10.25504/FAIRsharing.5nnxqn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Ophthalmic Disease Genotyping and Phenotyping Network (eyeGENE®) is a genomic medicine initiative created by the National Eye Institute (NEI), part of the National Institutes of Health (NIH), in partnership with clinics and laboratories across the vision research community. The core mission of eyeGENE® is to facilitate research into the causes and mechanisms of rare inherited eye diseases and accelerate pathways to treatments. eyeGENE® was designed to achieve this goal through clinical and molecular diagnosis coupled with granting controlled access to clinical and genetic information in a data repository, to DNA in a biorepository, and to individuals consented to participate in research and clinical trials. The eyeGENE® Network currently includes a Coordinating Center at the NEI, CLIA†-approved molecular genetic testing laboratories around the Nation, a patient registry, controlled-access centralized biorepository for DNA, and a curated de-identified genotype / phenotype database. These components stimulate patient and eye health care provider interest in genetics-based clinical care and generate involvement in ophthalmic research, thereby accelerating vision research and treatment development for these diseases.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12783}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Medicine","Ophthalmology","Human Genetics","Biomedical Science","Preclinical Studies"],"domains":["Disease"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2682,"pubmed_id":23662816,"title":"eyeGENE(R): a vision community resource facilitating patient care and paving the path for research through molecular diagnostic testing.","year":2013,"url":"http://doi.org/10.1111/cge.12193","authors":"Blain D,Goetz KE,Ayyagari R,Tumminia SJ","journal":"Clin Genet","doi":"10.1111/cge.12193","created_at":"2021-09-30T08:27:29.372Z","updated_at":"2021-09-30T08:27:29.372Z"},{"id":2683,"pubmed_id":19534233,"title":"EyeGENE--National Ophthalmic Disease Genotyping Network.","year":2009,"url":"https://www.ncbi.nlm.nih.gov/pubmed/19534233","authors":"No authors listed","journal":"Insight","doi":null,"created_at":"2021-09-30T08:27:29.487Z","updated_at":"2021-09-30T11:28:37.484Z"},{"id":2684,"pubmed_id":22847030,"title":"eyeGENE(R): a novel approach to combine clinical testing and researching genetic ocular disease.","year":2012,"url":"http://doi.org/10.1097/ICU.0b013e32835715c9","authors":"Goetz KE,Reeves MJ,Tumminia SJ,Brooks BP","journal":"Curr Opin Ophthalmol","doi":"10.1097/ICU.0b013e32835715c9","created_at":"2021-09-30T08:27:29.737Z","updated_at":"2021-09-30T08:27:29.737Z"}],"licence_links":[],"grants":[{"id":2700,"fairsharing_record_id":2489,"organisation_id":2112,"relation":"maintains","created_at":"2021-09-30T09:25:52.963Z","updated_at":"2021-09-30T09:25:52.963Z","grant_id":null,"is_lead":false,"saved_state":{"id":2112,"name":"NEI NIH","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2474","type":"fairsharing_records","attributes":{"created_at":"2017-07-04T09:14:23.000Z","updated_at":"2023-12-15T10:30:54.606Z","metadata":{"doi":"10.25504/FAIRsharing.7tx9zj","name":"Sweden IPT - GBIF Sweden","status":"ready","contacts":[{"contact_name":"Anders Telenius","contact_email":"anders.telenius@nrm.se","contact_orcid":"0000-0003-4477-1117"}],"homepage":"http://www.gbif.se/ipt","identifier":2474,"description":"GBIF-Sweden serves researchers, public authorities and others interested in biodiversity as the Swedish hub for information and international exchange of data on the biological diversity of the world. The ambition of GBIF-Sweden is to continuously harvest and publicly present up-to-date biodiversity data hosted by Swedish institutions and government authorities to stakeholders around the world through the international GBIF portal, in accordance with Swedish commitments under the international GBIF agreement. Where appropriate, GBIF-Sweden also aims to accumulate information about Swedish biodiversity kept elsewhere in the world and provide it to Swedish stakeholders in an appropriate form. Finally, GBIF-Sweden aims to play a leading role in stimulating digitization efforts aimed at increasing the quantity and quality of content provided to GBIF from Swedish institutions.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"gbif@nrm.se","name":"GBIF Sweden","type":"Support email"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"},{"url":"https://twitter.com/gbifsweden","name":"@gbifsweden","type":"Twitter"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000956","bsg-d000956"],"name":"FAIRsharing record for: Sweden IPT - GBIF Sweden","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.7tx9zj","doi":"10.25504/FAIRsharing.7tx9zj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF-Sweden serves researchers, public authorities and others interested in biodiversity as the Swedish hub for information and international exchange of data on the biological diversity of the world. The ambition of GBIF-Sweden is to continuously harvest and publicly present up-to-date biodiversity data hosted by Swedish institutions and government authorities to stakeholders around the world through the international GBIF portal, in accordance with Swedish commitments under the international GBIF agreement. Where appropriate, GBIF-Sweden also aims to accumulate information about Swedish biodiversity kept elsewhere in the world and provide it to Swedish stakeholders in an appropriate form. Finally, GBIF-Sweden aims to play a leading role in stimulating digitization efforts aimed at increasing the quantity and quality of content provided to GBIF from Swedish institutions.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11661}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1556,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1238,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1554,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1553,"relation":"undefined"}],"grants":[{"id":2681,"fairsharing_record_id":2474,"organisation_id":1096,"relation":"maintains","created_at":"2021-09-30T09:25:52.140Z","updated_at":"2021-09-30T09:25:52.140Z","grant_id":null,"is_lead":false,"saved_state":{"id":1096,"name":"GBIF Sweden","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2475","type":"fairsharing_records","attributes":{"created_at":"2017-07-05T12:32:59.000Z","updated_at":"2023-12-15T10:30:10.761Z","metadata":{"doi":"10.25504/FAIRsharing.y2vm4r","name":"Taiwan Biodiversity Information Facility IPT - GBIF Taiwan","status":"ready","contacts":[{"contact_name":"Kun-Chi Lai","contact_email":"east0122@gate.sinica.edu.tw"}],"homepage":"http://ipt.taibif.tw/","identifier":2475,"description":"TaiBIF (Taiwan Biodiversity Information Facility) is the Taiwan portal of GBIF. Although Taiwan’s land is not spacious, it possesses extraordinarily abundant biodiversity resources and many endemic species. TaiBIF is in charge of integrating Taiwan's biodiversity information, including lists of species and local experts, illustrations of species, introduction of endemic species and invasive species, Taiwan's terrestrial and marine organisms, biodiversity literature, geographical and environmental information, information about relevant institutions, organizations, projects, and observation spots, the Catalog of Life (a list of Taiwanese endemic species), and publications.","abbreviation":"TaiBIF IPT - GBIF Taiwan","data_curation":{"type":"manual"},"support_links":[{"url":"yuhuangwang@gmail.com","name":"Yu-Huang Wang","type":"Support email"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011310","name":"re3data:r3d100011310","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000957","bsg-d000957"],"name":"FAIRsharing record for: Taiwan Biodiversity Information Facility IPT - GBIF Taiwan","abbreviation":"TaiBIF IPT - GBIF Taiwan","url":"https://fairsharing.org/10.25504/FAIRsharing.y2vm4r","doi":"10.25504/FAIRsharing.y2vm4r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TaiBIF (Taiwan Biodiversity Information Facility) is the Taiwan portal of GBIF. Although Taiwan’s land is not spacious, it possesses extraordinarily abundant biodiversity resources and many endemic species. TaiBIF is in charge of integrating Taiwan's biodiversity information, including lists of species and local experts, illustrations of species, introduction of endemic species and invasive species, Taiwan's terrestrial and marine organisms, biodiversity literature, geographical and environmental information, information about relevant institutions, organizations, projects, and observation spots, the Catalog of Life (a list of Taiwanese endemic species), and publications.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11662}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":90,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":86,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":89,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":87,"relation":"undefined"}],"grants":[{"id":2682,"fairsharing_record_id":2475,"organisation_id":2700,"relation":"maintains","created_at":"2021-09-30T09:25:52.182Z","updated_at":"2021-09-30T09:25:52.182Z","grant_id":null,"is_lead":false,"saved_state":{"id":2700,"name":"Taiwan Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2479","type":"fairsharing_records","attributes":{"created_at":"2017-07-05T12:52:14.000Z","updated_at":"2024-06-04T09:15:43.302Z","metadata":{"doi":"10.25504/FAIRsharing.x4zrrg","name":"VertNet IPT","status":"ready","contacts":[{"contact_name":"Laura Russell","contact_email":"larussell@vertnet.org"}],"homepage":"https://ipt.vertnet.org/","citations":[],"identifier":2479,"description":"VertNet uses the Integrated Publishing Toolkit (IPT) to host published biodiversity data on the VertNet IPT for its participating institutions. The IPT is a free, open source web application designed to publish primary occurrence data, species checklists and taxonomies, and associated dataset metadata available for use on the Internet. Data are published as web-based Darwin Core Archives (simple ZIP files that contain tab-delimited or comma-separated text files organized using the Darwin Core Standard).","abbreviation":"VertNet IPT","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/gbif/ipt/issues","name":"Report a bug","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000961","bsg-d000961"],"name":"FAIRsharing record for: VertNet IPT","abbreviation":"VertNet IPT","url":"https://fairsharing.org/10.25504/FAIRsharing.x4zrrg","doi":"10.25504/FAIRsharing.x4zrrg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VertNet uses the Integrated Publishing Toolkit (IPT) to host published biodiversity data on the VertNet IPT for its participating institutions. The IPT is a free, open source web application designed to publish primary occurrence data, species checklists and taxonomies, and associated dataset metadata available for use on the Internet. Data are published as web-based Darwin Core Archives (simple ZIP files that contain tab-delimited or comma-separated text files organized using the Darwin Core Standard).","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11666}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1020,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1015,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1019,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1017,"relation":"undefined"}],"grants":[{"id":2686,"fairsharing_record_id":2479,"organisation_id":3182,"relation":"maintains","created_at":"2021-09-30T09:25:52.340Z","updated_at":"2021-09-30T09:25:52.340Z","grant_id":null,"is_lead":false,"saved_state":{"id":3182,"name":"VertNet","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2480","type":"fairsharing_records","attributes":{"created_at":"2017-07-13T01:56:29.000Z","updated_at":"2024-05-01T15:27:19.412Z","metadata":{"doi":"10.25504/FAIRsharing.tfj7gt","name":"EPA Comptox Chemicals Dashboard","status":"ready","contacts":[{"contact_name":"Antony Williams","contact_email":"williams.antony@epa.gov","contact_orcid":"0000-0002-2668-4821"}],"homepage":"https://comptox.epa.gov/dashboard","citations":[{"doi":"10.1186/s13321-017-0247-6","pubmed_id":null,"publication_id":4272}],"identifier":2480,"description":"The foundation of chemical safety testing relies on chemistry information such as high-quality chemical structures and physical chemical properties. This information is used by scientists to predict the potential health risks of chemicals. The Dashboard is part of a suite of dashboards developed by EPA to help evaluate the safety of chemicals. It provides access to a variety of information on over 700,000 chemicals currently in use. Within the Dashboard, users can access chemical structures, experimental and predicted physicochemical and toxicity data, and additional links to relevant websites and applications. It maps curated physicochemical property data associated with chemical substances to their corresponding chemical structures. These data are compiled from sources including the EPA’s computational toxicology research databases, and public domain databases such as the National Center for Biotechnology Information’s PubChem database.","abbreviation":null,"data_curation":{"type":"manual/automated"},"support_links":[{"url":"https://comptox.epa.gov/dashboard/contact_us","name":"Contact Us","type":"Contact form"},{"url":"https://www.epa.gov/comptox-tools/comptox-chemicals-dashboard-help","type":"Help documentation"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"https://itunes.apple.com/us/app/comptox-mobile/id1179517689?mt=8","name":"CompTox Mobile 1"},{"url":"https://itunes.apple.com/us/app/m-z-epa-comptox/id1148436331?mt=8","name":"m/Z EPA CompTox 1"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000962","bsg-d000962"],"name":"FAIRsharing record for: EPA Comptox Chemicals Dashboard","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.tfj7gt","doi":"10.25504/FAIRsharing.tfj7gt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The foundation of chemical safety testing relies on chemistry information such as high-quality chemical structures and physical chemical properties. This information is used by scientists to predict the potential health risks of chemicals. The Dashboard is part of a suite of dashboards developed by EPA to help evaluate the safety of chemicals. It provides access to a variety of information on over 700,000 chemicals currently in use. Within the Dashboard, users can access chemical structures, experimental and predicted physicochemical and toxicity data, and additional links to relevant websites and applications. It maps curated physicochemical property data associated with chemical substances to their corresponding chemical structures. These data are compiled from sources including the EPA’s computational toxicology research databases, and public domain databases such as the National Center for Biotechnology Information’s PubChem database.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11787},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16492}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Environmental Science","Toxicology","Chemistry"],"domains":["Environmental contaminant","Spectroscopy","Bioactivity","Exposure"],"taxonomies":["Not applicable"],"user_defined_tags":["Physical properties"],"countries":["United States"],"publications":[{"id":35,"pubmed_id":26812473,"title":"Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring.","year":2016,"url":"http://doi.org/S0160-4120(15)30111-2","authors":"Rager JE,Strynar MJ,Liang S,McMahen RL,Richard AM,Grulke CM,Wambaugh JF,Isaacs KK,Judson R,Williams AJ,Sobus JR","journal":"Environ Int","doi":"10.1016/j.envint.2015.12.008","created_at":"2021-09-30T08:22:24.088Z","updated_at":"2021-09-30T08:22:24.088Z"},{"id":2149,"pubmed_id":28475325,"title":"Open Science for Identifying \"Known Unknown\" Chemicals.","year":2017,"url":"http://doi.org/10.1021/acs.est.7b01908","authors":"Schymanski EL,Williams AJ","journal":"Environ Sci Technol","doi":"10.1021/acs.est.7b01908","created_at":"2021-09-30T08:26:22.169Z","updated_at":"2021-09-30T08:26:22.169Z"},{"id":2157,"pubmed_id":27367298,"title":"ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology.","year":2016,"url":"http://doi.org/10.1021/acs.chemrestox.6b00135","authors":"Richard AM,Judson RS,Houck KA,Grulke CM,Volarath P,Thillainadarajah I,Yang C,Rathman J,Martin MT,Wambaugh JF,Knudsen TB,Kancherla J,Mansouri K,Patlewicz G,Williams AJ,Little SB,Crofton KM,Thomas RS","journal":"Chem Res Toxicol","doi":"10.1021/acs.chemrestox.6b00135","created_at":"2021-09-30T08:26:23.175Z","updated_at":"2021-09-30T08:26:23.175Z"},{"id":2178,"pubmed_id":27885862,"title":"An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modelling.","year":2016,"url":"http://doi.org/10.1080/1062936X.2016.1253611","authors":"Mansouri K,Grulke CM,Richard AM,Judson RS,Williams AJ","journal":"SAR QSAR Environ Res","doi":"10.1080/1062936X.2016.1253611","created_at":"2021-09-30T08:26:25.484Z","updated_at":"2021-09-30T08:26:25.484Z"},{"id":2181,"pubmed_id":27987027,"title":"Identifying known unknowns using the US EPA's CompTox Chemistry Dashboard.","year":2016,"url":"http://doi.org/10.1007/s00216-016-0139-z","authors":"McEachran AD,Sobus JR,Williams AJ","journal":"Anal Bioanal Chem","doi":"10.1007/s00216-016-0139-z","created_at":"2021-09-30T08:26:25.898Z","updated_at":"2021-09-30T08:26:25.898Z"},{"id":4272,"pubmed_id":null,"title":"The CompTox Chemistry Dashboard: a community data resource for environmental chemistry","year":2017,"url":"http://dx.doi.org/10.1186/s13321-017-0247-6","authors":"Williams, Antony J.; Grulke, Christopher M.; Edwards, Jeff; McEachran, Andrew D.; Mansouri, Kamel; Baker, Nancy C.; Patlewicz, Grace; Shah, Imran; Wambaugh, John F.; Judson, Richard S.; Richard, Ann M.; ","journal":"J Cheminform","doi":"10.1186/s13321-017-0247-6","created_at":"2024-05-01T15:25:53.393Z","updated_at":"2024-05-01T15:25:53.393Z"}],"licence_links":[],"grants":[{"id":2687,"fairsharing_record_id":2480,"organisation_id":2950,"relation":"maintains","created_at":"2021-09-30T09:25:52.382Z","updated_at":"2024-05-01T15:26:03.684Z","grant_id":null,"is_lead":true,"saved_state":{"id":2950,"name":"United States Environmental Protection Agency","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2482","type":"fairsharing_records","attributes":{"created_at":"2017-07-14T04:39:40.000Z","updated_at":"2024-03-20T13:35:37.728Z","metadata":{"doi":"10.25504/FAIRsharing.bkxpmp","name":"Xenobiotics Metabolism Database","status":"deprecated","contacts":[{"contact_name":"Ola Spjuth","contact_email":"ola.spjuth@farmbio.uu.se","contact_orcid":"0000-0002-8083-2864"}],"homepage":"http://www.xmetdb.org/","citations":[],"identifier":2482,"description":"XMetDB is an open access and open source database and web interface for the submission and retrieval of experimental metabolite data for drugs and other xenobiotics. It will also feature an open API for access to the database.","abbreviation":"XMetDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.xmetdb.org/wiki/How_to_enter_experimental_data","type":"Help documentation"},{"url":"http://www.xmetdb.org/wiki/Export_of_data","type":"Help documentation"},{"url":"http://www.xmetdb.org/wiki/Saved_searches_and_alerts","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://www.xmetdb.org/wiki/API","name":"API"}],"deprecation_date":"2024-03-20","deprecation_reason":"This resource is no longer available at the stated homepage and a replacement homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000964","bsg-d000964"],"name":"FAIRsharing record for: Xenobiotics Metabolism Database","abbreviation":"XMetDB","url":"https://fairsharing.org/10.25504/FAIRsharing.bkxpmp","doi":"10.25504/FAIRsharing.bkxpmp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: XMetDB is an open access and open source database and web interface for the submission and retrieval of experimental metabolite data for drugs and other xenobiotics. It will also feature an open API for access to the database.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biochemistry","Life Science","Biomedical Science"],"domains":["Drug metabolic process"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Bulgaria","Netherlands","Sweden"],"publications":[{"id":2242,"pubmed_id":27651835,"title":"XMetDB: an open access database for xenobiotic metabolism.","year":2016,"url":"http://doi.org/10.1186/s13321-016-0161-3","authors":"Spjuth O,Rydberg P,Willighagen EL,Evelo CT,Jeliazkova N","journal":"J Cheminform","doi":"10.1186/s13321-016-0161-3","created_at":"2021-09-30T08:26:32.726Z","updated_at":"2021-09-30T08:26:32.726Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 2.0 Generic (CC BY 2.0)","licence_id":157,"licence_url":"https://creativecommons.org/licenses/by/2.0/","link_id":94,"relation":"undefined"},{"licence_name":"GNU Lesser General Public License (LGPL) 3.0","licence_id":358,"licence_url":"https://www.gnu.org/licenses/lgpl.html","link_id":911,"relation":"undefined"}],"grants":[{"id":2691,"fairsharing_record_id":2482,"organisation_id":1309,"relation":"maintains","created_at":"2021-09-30T09:25:52.611Z","updated_at":"2021-09-30T09:25:52.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":1309,"name":"IDEAconsult, Sofia, Bulgaria","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2689,"fairsharing_record_id":2482,"organisation_id":2989,"relation":"maintains","created_at":"2021-09-30T09:25:52.541Z","updated_at":"2021-09-30T09:25:52.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":2989,"name":"Universiteit Maastricht, Netherlands","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2690,"fairsharing_record_id":2482,"organisation_id":702,"relation":"maintains","created_at":"2021-09-30T09:25:52.579Z","updated_at":"2021-09-30T09:25:52.579Z","grant_id":null,"is_lead":false,"saved_state":{"id":702,"name":"Department of Drug Design and Pharmacology, University of Copenhagen","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2692,"fairsharing_record_id":2482,"organisation_id":733,"relation":"maintains","created_at":"2021-09-30T09:25:52.653Z","updated_at":"2021-09-30T09:25:52.653Z","grant_id":null,"is_lead":false,"saved_state":{"id":733,"name":"Department of Pharmaceutical Biosciences, Uppsala University","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2483","type":"fairsharing_records","attributes":{"created_at":"2017-07-18T11:40:46.000Z","updated_at":"2023-12-15T10:31:44.678Z","metadata":{"doi":"10.25504/FAIRsharing.ewh295","name":"iDigBio IPT","status":"ready","contacts":[{"contact_name":"Joanna McCaffrey","contact_email":"jmccaffrey@flmnh.ufl.edu"}],"homepage":"http://ipt.idigbio.org","identifier":2483,"description":"The iDigBio IPT is a website that hosts biodiversity data and serves it in a standardised format, allowing aggregators such as iDigBio to index it into their portals whenever the data is applicable to that portal.","abbreviation":"iDigBio IPT","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/how-to-publish","type":"controlled","notes":"The submitted datasets must be affiliated with an organization that is registered with GBIF."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000965","bsg-d000965"],"name":"FAIRsharing record for: iDigBio IPT","abbreviation":"iDigBio IPT","url":"https://fairsharing.org/10.25504/FAIRsharing.ewh295","doi":"10.25504/FAIRsharing.ewh295","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The iDigBio IPT is a website that hosts biodiversity data and serves it in a standardised format, allowing aggregators such as iDigBio to index it into their portals whenever the data is applicable to that portal.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11667}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1036,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1021,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1028,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1027,"relation":"undefined"}],"grants":[{"id":2693,"fairsharing_record_id":2483,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:52.691Z","updated_at":"2021-09-30T09:25:52.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2491","type":"fairsharing_records","attributes":{"created_at":"2017-09-05T08:59:58.000Z","updated_at":"2023-06-22T17:13:55.846Z","metadata":{"doi":"10.25504/FAIRsharing.anxqkv","name":"e-ReColNat","status":"ready","contacts":[{"contact_email":"contact@recolnat.org"}],"homepage":"https://explore.recolnat.org","citations":[],"identifier":2491,"description":"e-ReColNat is an image repository consisting of species occurrence records through time, and aims to provide a source of data for additional research in areas such as biodiversity surveying, modelling global change.","abbreviation":"e-ReColNat","data_curation":{"type":"manual"},"support_links":[{"url":"https://explore.recolnat.org/demos","name":"Tutorials and demos","type":"Training documentation"},{"url":"https://explore.recolnat.org/feedback","name":"Comments and Feedback","type":"Contact form"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"https://lab.recolnat.org","name":"Virtual lab 0.9.3beta"},{"url":"http://lesherbonautes.mnhn.fr/","name":"Les Herbonautes v2"},{"url":"https://www.recolnat.org/en/annotate","name":"Annotate Tool"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000973","bsg-d000973"],"name":"FAIRsharing record for: e-ReColNat","abbreviation":"e-ReColNat","url":"https://fairsharing.org/10.25504/FAIRsharing.anxqkv","doi":"10.25504/FAIRsharing.anxqkv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: e-ReColNat is an image repository consisting of species occurrence records through time, and aims to provide a source of data for additional research in areas such as biodiversity surveying, modelling global change.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Paleontology","Biodiversity","Natural History"],"domains":["Geographical location"],"taxonomies":["All"],"user_defined_tags":["Geological mapping"],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":2703,"fairsharing_record_id":2491,"organisation_id":2410,"relation":"maintains","created_at":"2021-09-30T09:25:53.057Z","updated_at":"2021-09-30T09:25:53.057Z","grant_id":null,"is_lead":false,"saved_state":{"id":2410,"name":"RECOLNAT","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2492","type":"fairsharing_records","attributes":{"created_at":"2017-09-07T03:53:06.000Z","updated_at":"2023-12-15T10:30:23.420Z","metadata":{"doi":"10.25504/FAIRsharing.ekdqe5","name":"iReceptor Public Archive","status":"ready","contacts":[{"contact_name":"Brian Corrie","contact_email":"bdcorrie@gmail.com","contact_orcid":"0000-0003-3888-6495"}],"homepage":"https://www.ireceptor.org/","citations":[],"identifier":2492,"description":"A data repository for the storage and sharing of Adaptive Immune Receptor Repertoire data. Primary public repository for the iReceptor Platform and Scientific Gateway.","abbreviation":"IPA","data_curation":{"url":"http://ireceptor.irmacs.sfu.ca/curation","type":"manual/automated"},"support_links":[{"url":"http://www.ireceptor.org/news","name":"News","type":"Blog/News"},{"url":"support@ireceptor.org","name":"iReceptor Helpdesk","type":"Support email"},{"url":"http://www.ireceptor.org/platform/doc","name":"iReceptor Documentation","type":"Help documentation"},{"url":"http://www.ireceptor.org/curation","name":"Curation at iReceptor","type":"Help documentation"},{"url":"http://www.ireceptor.org/about","name":"About iReceptor","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","associated_tools":[{"url":"http://www.ireceptor.org/platform/doc","name":"DB Service API Documentation"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012732","name":"re3data:r3d100012732","portal":"re3data"}],"data_access_condition":{"url":"https://gateway.ireceptor.org/login","type":"open","notes":"Registration required"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000974","bsg-d000974"],"name":"FAIRsharing record for: iReceptor Public Archive","abbreviation":"IPA","url":"https://fairsharing.org/10.25504/FAIRsharing.ekdqe5","doi":"10.25504/FAIRsharing.ekdqe5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A data repository for the storage and sharing of Adaptive Immune Receptor Repertoire data. Primary public repository for the iReceptor Platform and Scientific Gateway.","linked_records":[],"linking_records":[{"linking_record_name":"AIRR Data Commons","linking_record_id":3526,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11825},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12329},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12785}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Immunogenetics","Immunology","Virology","Life Science","Epidemiology"],"domains":["B cell receptor complex","T cell receptor complex","Antibody","Receptor","Curated information","Literature curation"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Canada"],"publications":[{"id":2539,"pubmed_id":29944754,"title":"iReceptor: A platform for querying and analyzing antibody/B‐cell and T‐cell receptor repertoire data across federated repositories","year":2018,"url":"http://doi.org/10.1111/imr.12666","authors":"Brian D. Corrie, Nishanth Marthandan, Bojan Zimonja, Jerome Jaglale, Yang Zhou, Emily Barr, Nicole Knoetze, Frances M. W. Breden, Scott Christley, Jamie K. Scott, Lindsay G. Cowell, Felix Breden","journal":"Immunological Reviews","doi":"10.1111/imr.12666","created_at":"2021-09-30T08:27:11.404Z","updated_at":"2021-09-30T08:27:11.404Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":2122,"relation":"undefined"}],"grants":[{"id":2705,"fairsharing_record_id":2492,"organisation_id":1550,"relation":"maintains","created_at":"2021-09-30T09:25:53.134Z","updated_at":"2021-09-30T09:25:53.134Z","grant_id":null,"is_lead":false,"saved_state":{"id":1550,"name":"iReceptor, Simon Fraser University, Vancouver, B.C., Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2708,"fairsharing_record_id":2492,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:53.216Z","updated_at":"2021-09-30T09:25:53.216Z","grant_id":null,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2704,"fairsharing_record_id":2492,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:53.095Z","updated_at":"2021-09-30T09:25:53.095Z","grant_id":null,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2706,"fairsharing_record_id":2492,"organisation_id":364,"relation":"funds","created_at":"2021-09-30T09:25:53.161Z","updated_at":"2021-09-30T09:25:53.161Z","grant_id":null,"is_lead":false,"saved_state":{"id":364,"name":"CANARIE Network Enabled Platforms Program","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2707,"fairsharing_record_id":2492,"organisation_id":314,"relation":"funds","created_at":"2021-09-30T09:25:53.185Z","updated_at":"2021-09-30T09:25:53.185Z","grant_id":null,"is_lead":false,"saved_state":{"id":314,"name":"British Columbia Knowledge Development Fund (BCKDF)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2709,"fairsharing_record_id":2492,"organisation_id":354,"relation":"funds","created_at":"2021-09-30T09:25:53.258Z","updated_at":"2021-09-30T09:25:53.258Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbGNDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--869cb8f65eb5cf25634ab49bbfa05f8d303fe014/IReceptor_1x.png?disposition=inline","exhaustive_licences":false}},{"id":"2469","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T18:13:49.000Z","updated_at":"2023-12-15T10:29:59.346Z","metadata":{"doi":"10.25504/FAIRsharing.gdj215","name":"Madagascar Biodiversity Information Facility IPT - GBIF France","status":"uncertain","contacts":[{"contact_name":"Andry Rakotomanjaka","contact_email":"andry@madbif.mg"}],"homepage":"http://ipt.madbif.mg/","citations":[],"identifier":2469,"description":"GBIF France hosts this data repository on behalf of Madagascar Biodiversity Information Facility (MadBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Most data collected within Madagascar is not documented and is only accessible to the person/team involved in the project for which the data has been collected. Moreover, there is a lack of data policy within the institutions of Madagascar. As a consequence, data knowledge is linked to individuals and disappears with them. The only public information that can be found is the information located in herbaria, museums, and various literature. MadBIF aims to promote and support publication of biodiversity data by data holders. Note from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because it appears to be insecure. We are making every effort to engage with the resource owners to understand if it is a temporary issue.","abbreviation":"MadBIF IPT - GBIF France","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.madbif.mg","name":"MadBIF","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000951","bsg-d000951"],"name":"FAIRsharing record for: Madagascar Biodiversity Information Facility IPT - GBIF France","abbreviation":"MadBIF IPT - GBIF France","url":"https://fairsharing.org/10.25504/FAIRsharing.gdj215","doi":"10.25504/FAIRsharing.gdj215","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of Madagascar Biodiversity Information Facility (MadBIF) in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Most data collected within Madagascar is not documented and is only accessible to the person/team involved in the project for which the data has been collected. Moreover, there is a lack of data policy within the institutions of Madagascar. As a consequence, data knowledge is linked to individuals and disappears with them. The only public information that can be found is the information located in herbaria, museums, and various literature. MadBIF aims to promote and support publication of biodiversity data by data holders. Note from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because it appears to be insecure. We are making every effort to engage with the resource owners to understand if it is a temporary issue.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11656}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Madagascar"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1150,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":399,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1170,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":1164,"relation":"undefined"}],"grants":[{"id":2672,"fairsharing_record_id":2469,"organisation_id":474,"relation":"funds","created_at":"2021-09-30T09:25:51.874Z","updated_at":"2021-09-30T09:25:51.874Z","grant_id":null,"is_lead":false,"saved_state":{"id":474,"name":"Centre National de Recherches sur l'Environnement (CNRE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2670,"fairsharing_record_id":2469,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.825Z","updated_at":"2021-09-30T09:25:51.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2671,"fairsharing_record_id":2469,"organisation_id":474,"relation":"maintains","created_at":"2021-09-30T09:25:51.851Z","updated_at":"2021-09-30T09:25:51.851Z","grant_id":null,"is_lead":false,"saved_state":{"id":474,"name":"Centre National de Recherches sur l'Environnement (CNRE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2470","type":"fairsharing_records","attributes":{"created_at":"2017-06-28T18:24:32.000Z","updated_at":"2023-12-15T10:29:54.832Z","metadata":{"doi":"10.25504/FAIRsharing.9ntzb2","name":"GBIF Togo IPT - GBIF France","status":"ready","contacts":[{"contact_email":"gbif@gbif.fr"}],"homepage":"http://ipt-togo.gbif.fr/","identifier":2470,"description":"GBIF France hosts this data repository on behalf of GBIF Togo in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://www.gbif.org/ipt","name":"About the IPT","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000952","bsg-d000952"],"name":"FAIRsharing record for: GBIF Togo IPT - GBIF France","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.9ntzb2","doi":"10.25504/FAIRsharing.9ntzb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF France hosts this data repository on behalf of GBIF Togo in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT).","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11657}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France","Togo"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":315,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":311,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":314,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":313,"relation":"undefined"}],"grants":[{"id":2673,"fairsharing_record_id":2470,"organisation_id":1093,"relation":"maintains","created_at":"2021-09-30T09:25:51.901Z","updated_at":"2021-09-30T09:25:51.901Z","grant_id":null,"is_lead":false,"saved_state":{"id":1093,"name":"GBIF France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2471","type":"fairsharing_records","attributes":{"created_at":"2017-07-04T08:31:09.000Z","updated_at":"2023-12-15T10:32:35.312Z","metadata":{"doi":"10.25504/FAIRsharing.1gx1wq","name":"GBIF Norway (Norway IPT)","status":"ready","contacts":[{"contact_name":"GBIF Norway","contact_email":"helpdesk@gbif.no","contact_orcid":"0000-0002-2352-5497"},{"contact_name":"Dag Endresen","contact_email":"node-manager@gbif.no","contact_orcid":"0000-0002-2352-5497"},{"contact_name":"Rukaya Johaadien","contact_email":"data-manager@gbif.no","contact_orcid":"0000-0002-2857-2276"}],"homepage":"https://www.gbif.no/","citations":[],"identifier":2471,"description":"GBIF Norway is the Norwegian participant node in the Global Biodiversity Information Facility, GBIF. They make primary data on biological diversity from the Norwegian collections and observation databases freely available and coordinate and support GBIF-related activities and data use in Norway.","abbreviation":"GBIF.no","data_curation":{"type":"manual"},"support_links":[{"url":"https://github.com/gbif/ipt/wiki/IPT2ManualNotes.wiki","name":"The IPT User Manual","type":"Github"},{"url":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgbif%2Fipt%2Fissues%2Fnew","name":"Report a bug","type":"Github"},{"url":"https://www.gbif.org/installation/c4e83f8a-f24c-4573-a197-f085ca242917","name":"About the IPT","type":"Help documentation"}],"year_creation":2005,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000953","bsg-d000953"],"name":"FAIRsharing record for: GBIF Norway (Norway IPT)","abbreviation":"GBIF.no","url":"https://fairsharing.org/10.25504/FAIRsharing.1gx1wq","doi":"10.25504/FAIRsharing.1gx1wq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF Norway is the Norwegian participant node in the Global Biodiversity Information Facility, GBIF. They make primary data on biological diversity from the Norwegian collections and observation databases freely available and coordinate and support GBIF-related activities and data use in Norway.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11658}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification","Resource collection"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Norway"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1087,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":957,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1086,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":958,"relation":"undefined"}],"grants":[{"id":2675,"fairsharing_record_id":2471,"organisation_id":1094,"relation":"maintains","created_at":"2021-09-30T09:25:51.968Z","updated_at":"2021-09-30T09:25:51.968Z","grant_id":null,"is_lead":true,"saved_state":{"id":1094,"name":"GBIF Norway","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2674,"fairsharing_record_id":2471,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:25:51.939Z","updated_at":"2021-09-30T09:25:51.939Z","grant_id":null,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2676,"fairsharing_record_id":2471,"organisation_id":2092,"relation":"maintains","created_at":"2021-09-30T09:25:51.993Z","updated_at":"2021-09-30T09:25:51.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":2092,"name":"Natural History Museum at the University of Oslo","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":10635,"fairsharing_record_id":2471,"organisation_id":1727,"relation":"collaborates_on","created_at":"2023-05-27T11:52:41.571Z","updated_at":"2023-05-27T11:52:41.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":1727,"name":"Long-Term Ecosystem Research in Europe (eLTER)","types":["Government body"],"is_lead":false,"relation":"collaborates_on"}},{"id":10636,"fairsharing_record_id":2471,"organisation_id":3717,"relation":"collaborates_on","created_at":"2023-05-27T11:52:41.573Z","updated_at":"2023-05-27T11:52:41.573Z","grant_id":null,"is_lead":false,"saved_state":{"id":3717,"name":"DiSSCo","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":10632,"fairsharing_record_id":2471,"organisation_id":1166,"relation":"associated_with","created_at":"2023-05-27T11:52:41.527Z","updated_at":"2023-05-27T11:52:41.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":1166,"name":"Global Biodiversity Information Facility","types":["Consortium"],"is_lead":false,"relation":"associated_with"}},{"id":10633,"fairsharing_record_id":2471,"organisation_id":3674,"relation":"associated_with","created_at":"2023-05-27T11:52:41.527Z","updated_at":"2023-05-27T11:52:41.527Z","grant_id":null,"is_lead":false,"saved_state":{"id":3674,"name":"University of Oslo","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10638,"fairsharing_record_id":2471,"organisation_id":2995,"relation":"associated_with","created_at":"2023-05-27T11:54:49.743Z","updated_at":"2023-05-27T11:54:49.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2995,"name":"Universitetet i Bergen, Bergen, Norway","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10639,"fairsharing_record_id":2471,"organisation_id":2891,"relation":"associated_with","created_at":"2023-05-27T11:54:49.745Z","updated_at":"2023-05-27T11:54:49.745Z","grant_id":null,"is_lead":false,"saved_state":{"id":2891,"name":"UiT The Arctic University of Norway","types":["University"],"is_lead":false,"relation":"associated_with"}},{"id":10634,"fairsharing_record_id":2471,"organisation_id":2712,"relation":"collaborates_on","created_at":"2023-05-27T11:52:41.541Z","updated_at":"2023-05-27T11:52:41.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":2712,"name":"TDWG Consortium","types":["Consortium","Charitable foundation"],"is_lead":false,"relation":"collaborates_on"}},{"id":10637,"fairsharing_record_id":2471,"organisation_id":2207,"relation":"collaborates_on","created_at":"2023-05-27T11:54:49.742Z","updated_at":"2023-05-27T11:54:49.742Z","grant_id":null,"is_lead":false,"saved_state":{"id":2207,"name":"OBIS","types":["Consortium"],"is_lead":false,"relation":"collaborates_on"}},{"id":10640,"fairsharing_record_id":2471,"organisation_id":2200,"relation":"associated_with","created_at":"2023-05-27T11:54:49.746Z","updated_at":"2023-05-27T11:54:49.746Z","grant_id":null,"is_lead":false,"saved_state":{"id":2200,"name":"NTNU - Norwegian University of Science and Technology","types":["University"],"is_lead":false,"relation":"associated_with"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBcUVDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--356943adc8f7e038ea8568e9277de120cb31c743/gbif-norway.png?disposition=inline","exhaustive_licences":false}},{"id":"2472","type":"fairsharing_records","attributes":{"created_at":"2017-07-04T08:45:20.000Z","updated_at":"2023-11-13T11:43:06.747Z","metadata":{"doi":"10.25504/FAIRsharing.gncawv","name":"Portugal IPT - GBIF Portugal","status":"ready","contacts":[{"contact_name":"GBIF Portugal","contact_email":"node@gbif.pt"}],"homepage":"http://ipt.gbif.pt/ipt/","identifier":2472,"description":"GBIF Portugal promotes the free and open sharing of primary biodiversity data and enriches knowledge of Portuguese and World biodiversity. It promotes the integration of Portuguese data publishers and resources of biodiversity information on the GBIF network, and the availability of biodiversity data for the scientific research and societal needs.","abbreviation":null,"data_curation":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/manage-resources","type":"none"},"support_links":[{"url":"node@gbif.pt","name":"Rui Figueira","type":"Support email"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://www.gbif.org/ipt","name":"GBIF Integrated Publishing Toolkit (IPT) 2.3"}],"data_access_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/","type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://ipt.gbif.org/manual/en/ipt/latest/how-to-publish","type":"controlled","notes":"The dataset must be affiliated with an organization that is registered with GBIF."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000954","bsg-d000954"],"name":"FAIRsharing record for: Portugal IPT - GBIF Portugal","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.gncawv","doi":"10.25504/FAIRsharing.gncawv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GBIF Portugal promotes the free and open sharing of primary biodiversity data and enriches knowledge of Portuguese and World biodiversity. It promotes the integration of Portuguese data publishers and resources of biodiversity information on the GBIF network, and the availability of biodiversity data for the scientific research and societal needs.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodiversity Information Facility Network Repositories","linking_record_id":3521,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11659}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Life Science"],"domains":["Taxonomic classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Portugal"],"publications":[],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":378,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":367,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":375,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":368,"relation":"undefined"}],"grants":[{"id":2678,"fairsharing_record_id":2472,"organisation_id":1095,"relation":"maintains","created_at":"2021-09-30T09:25:52.042Z","updated_at":"2021-09-30T09:25:52.042Z","grant_id":null,"is_lead":false,"saved_state":{"id":1095,"name":"GBIF Portugal","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2677,"fairsharing_record_id":2472,"organisation_id":1453,"relation":"maintains","created_at":"2021-09-30T09:25:52.016Z","updated_at":"2021-09-30T09:25:52.016Z","grant_id":null,"is_lead":true,"saved_state":{"id":1453,"name":"Instituto Superior de Agronomia, University of Lisbon, Portugal","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2679,"fairsharing_record_id":2472,"organisation_id":1081,"relation":"funds","created_at":"2021-09-30T09:25:52.070Z","updated_at":"2021-09-30T09:25:52.070Z","grant_id":null,"is_lead":false,"saved_state":{"id":1081,"name":"Fundaeo para a Ciencia e a Tecnologia (FCT), Lisboa, Portugal","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2501","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T11:30:44.000Z","updated_at":"2023-12-15T10:32:42.329Z","metadata":{"doi":"10.25504/FAIRsharing.aq20qn","name":"NOMAD Laboratory","status":"ready","contacts":[{"contact_email":"contact@nomad-lab.eu"}],"homepage":"https://nomad-lab.eu/","citations":[{"publication_id":656}],"identifier":2501,"description":"The NOMAD Laboratory hosts, organizes and shares materials data. It contains ab initio electronic-structure data from density-functional theory and methods beyond. NOMAD enables the confirmatory analysis of materials data, their reuse, and repurposing. It makes scientific data citable as one can request digital objective identifiers (DOI's). NOMAD keeps scientific data for at least 10 years for free.","abbreviation":"NOMAD LAB","data_curation":{"type":"none"},"support_links":[{"url":"https://nomad-lab.eu/services/terms","name":"NOMAD Laboratory Terms","type":"Frequently Asked Questions (FAQs)"},{"url":"https://matsci.org/c/nomad/32","name":"matsci.org community discussion forum","type":"Forum"},{"url":"https://nomad-lab.eu/videos","name":"NOMAD Laboratory tutorial videos","type":"Training documentation"},{"url":"https://twitter.com/NoMaDCoE","name":"NOMAD Laboratory Twitter","type":"Twitter"}],"data_versioning":"yes","associated_tools":[{"url":"https://github.com/nomad-coe","name":"GitHub Organisation"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011583","name":"re3data:r3d100011583","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://nomad-lab.eu/prod/v1/staging/docs/data/upload.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000983","bsg-d000983"],"name":"FAIRsharing record for: NOMAD Laboratory","abbreviation":"NOMAD LAB","url":"https://fairsharing.org/10.25504/FAIRsharing.aq20qn","doi":"10.25504/FAIRsharing.aq20qn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NOMAD Laboratory hosts, organizes and shares materials data. It contains ab initio electronic-structure data from density-functional theory and methods beyond. NOMAD enables the confirmatory analysis of materials data, their reuse, and repurposing. It makes scientific data citable as one can request digital objective identifiers (DOI's). NOMAD keeps scientific data for at least 10 years for free.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Chem ","linking_record_id":5027,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":18430}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Natural Science","Materials Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":649,"pubmed_id":null,"title":"NOMAD: The FAIR Concept for Big-Data-Driven Materials Science","year":2018,"url":"https://doi.org/10.1557/mrs.2018.208","authors":"C. Draxl and M. Scheffler","journal":"MRS Bulletin 43, 676","doi":null,"created_at":"2021-09-30T08:23:31.412Z","updated_at":"2021-09-30T08:23:31.412Z"},{"id":656,"pubmed_id":null,"title":"The NOMAD Laboratory: From Data Sharing to Artificial Intelligence","year":2019,"url":"https://iopscience.iop.org/article/10.1088/2515-7639/ab13bb","authors":"C. Draxl and M. Scheffler","journal":"J. Phys. Mater. 2, 036001","doi":null,"created_at":"2021-09-30T08:23:32.444Z","updated_at":"2021-09-30T08:23:32.444Z"},{"id":657,"pubmed_id":null,"title":"Big-Data-Driven Materials Science and its FAIR Data Infrastructure","year":2019,"url":"https://link.springer.com/content/pdf/10.1007%2F978-3-319-42913-7_104-1.pdf","authors":"C. Draxl and M. Scheffler","journal":"Invited Perspective in Handbook Andreoni W., Yip S. (eds) Handbook of Materials Modeling. Springer, Cham","doi":null,"created_at":"2021-09-30T08:23:32.544Z","updated_at":"2021-09-30T08:23:32.544Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":2282,"relation":"undefined"}],"grants":[{"id":2728,"fairsharing_record_id":2501,"organisation_id":1284,"relation":"maintains","created_at":"2021-09-30T09:25:53.911Z","updated_at":"2021-09-30T09:25:53.911Z","grant_id":null,"is_lead":false,"saved_state":{"id":1284,"name":"Humboldt-Universität zu Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2732,"fairsharing_record_id":2501,"organisation_id":1065,"relation":"maintains","created_at":"2021-09-30T09:25:54.011Z","updated_at":"2021-09-30T09:25:54.011Z","grant_id":null,"is_lead":false,"saved_state":{"id":1065,"name":"Fritz Haber Institute of the Max Planck Society, Berlin, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2730,"fairsharing_record_id":2501,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:53.961Z","updated_at":"2021-09-30T09:29:53.478Z","grant_id":453,"is_lead":false,"saved_state":{"id":912,"name":"European Comission Horizon 2020","grant":"676580","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2729,"fairsharing_record_id":2501,"organisation_id":1779,"relation":"maintains","created_at":"2021-09-30T09:25:53.934Z","updated_at":"2021-09-30T09:25:53.934Z","grant_id":null,"is_lead":false,"saved_state":{"id":1779,"name":"Max Planck Computing and Data Facility, Garching, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2731,"fairsharing_record_id":2501,"organisation_id":991,"relation":"maintains","created_at":"2021-09-30T09:25:53.984Z","updated_at":"2021-09-30T09:25:53.984Z","grant_id":null,"is_lead":true,"saved_state":{"id":991,"name":"FAIR Data Infrastructure for Physics, Chemistry, Materials Science, and Astronomy e.V., Berlin, Germany","types":["Undefined"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2502","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T12:40:19.000Z","updated_at":"2024-04-09T09:14:39.281Z","metadata":{"doi":"10.25504/FAIRsharing.1ky0cs","name":"UK Data Service","status":"ready","contacts":[{"contact_name":"Helpdesk","contact_email":"help@ukdataservice.ac.uk"}],"homepage":"https://ukdataservice.ac.uk/","citations":[],"identifier":2502,"description":"UK Data Service (UKDS) provides unified access to the UK's largest collection of social, economic and population data for research and teaching purposes covering a range of different disciplines. The majority of our data are fully anonymised, unless otherwise specified in the relevant online catalogue records, and are therefore not suitable for genealogical users or family historians. The UK Data Service is funded by the Economic and Social Research Council (ESRC) to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, and business consultants and the commercial sector.","abbreviation":"UKDS","data_curation":{"url":"https://www.data-archive.ac.uk/managing-data/digital-curation-and-data-publishing/curation-process/","type":"manual"},"support_links":[{"url":"https://www.ukdataservice.ac.uk/about-us/contact.aspx","name":"Contact","type":"Contact form"},{"url":"https://www.ukdataservice.ac.uk/help/faq.aspx","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.ukdataservice.ac.uk/news-and-events.aspx","name":"News","type":"Forum"},{"url":"https://www.ukdataservice.ac.uk/get-data/open-data.aspx","name":"Open Data at UKDS","type":"Help documentation"},{"url":"https://www.ukdataservice.ac.uk/use-data.aspx","name":"Training and Support","type":"Training documentation"},{"url":"https://twitter.com/UKDataService","name":"Twitter","type":"Twitter"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.ukdataservice.ac.uk/get-data/explore-online.aspx","name":"Tool Listing"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010230","name":"re3data:r3d100010230","portal":"re3data"}],"data_access_condition":{"url":"https://ukdataservice.ac.uk/find-data/access-conditions/","type":"partially open","notes":"Data may be classed as open, safeguarded or controlled."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.data-archive.ac.uk/managing-data/data-preservation-and-trust/","name":"Data Preservation Policy"},"data_deposition_condition":{"url":"https://ukdataservice.ac.uk/help/deposit-data/deposit-in-the-curated-data-repository/","type":"open","notes":"Although open to all researchers, is intended primarily for ESRC researchers. Additionally, each submission is reviewed for relevance and may not be accepted if out of scope."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000984","bsg-d000984"],"name":"FAIRsharing record for: UK Data Service","abbreviation":"UKDS","url":"https://fairsharing.org/10.25504/FAIRsharing.1ky0cs","doi":"10.25504/FAIRsharing.1ky0cs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UK Data Service (UKDS) provides unified access to the UK's largest collection of social, economic and population data for research and teaching purposes covering a range of different disciplines. The majority of our data are fully anonymised, unless otherwise specified in the relevant online catalogue records, and are therefore not suitable for genealogical users or family historians. The UK Data Service is funded by the Economic and Social Research Council (ESRC) to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, and business consultants and the commercial sector.","linked_records":[],"linking_records":[{"linking_record_name":"1958 National Child Development Study","linking_record_id":3501,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11012}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Economic and Social History","Demographics","Social Science"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","licence_id":187,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/","link_id":3202,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":3203,"relation":"applies_to_content"},{"licence_name":"UK Data Service Data Access Policy","licence_id":807,"licence_url":"https://www.ukdataservice.ac.uk/get-data/data-access-policy.aspx","link_id":1295,"relation":"applies_to_content"}],"grants":[{"id":2735,"fairsharing_record_id":2502,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:25:54.121Z","updated_at":"2021-09-30T09:25:54.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2733,"fairsharing_record_id":2502,"organisation_id":3086,"relation":"maintains","created_at":"2021-09-30T09:25:54.041Z","updated_at":"2021-09-30T09:25:54.041Z","grant_id":null,"is_lead":false,"saved_state":{"id":3086,"name":"University of Manchester, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2734,"fairsharing_record_id":2502,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:25:54.083Z","updated_at":"2021-09-30T09:25:54.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2495","type":"fairsharing_records","attributes":{"created_at":"2017-08-04T12:05:32.000Z","updated_at":"2023-12-15T10:31:34.763Z","metadata":{"doi":"10.25504/FAIRsharing.7388wt","name":"NASA Goddard Earth Sciences Data and Information Services Center","status":"ready","contacts":[{"contact_name":"Dave Meyer","contact_email":"david.j.meyer@nasa.gov"}],"homepage":"https://disc.gsfc.nasa.gov","identifier":2495,"description":"The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) is located at the Goddard Space Flight Center (GSFC) in Greenbelt, Maryland, and is one of 12 NASA Science Mission Directorate Data Centers that provide Earth science data, information, and services to research scientists, applications scientists, applications users, and students. They archive and support data sets applicable to several NASA Earth Science Focus Areas including: Atmospheric Composition, Water \u0026 Energy Cycles, and Climate Variability. The GES DISC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","abbreviation":"GES DISC","data_curation":{"type":"none"},"support_links":[{"url":"https://disc.gsfc.nasa.gov/information/alerts","name":"Alerts","type":"Blog/News"},{"url":"https://disc.gsfc.nasa.gov/information/news","name":"News","type":"Blog/News"},{"url":"gsfc-help-disc@lists.nasa.gov","name":"Helpmail contact","type":"Support email"},{"url":"https://disc.gsfc.nasa.gov/information/faqs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://forum.earthdata.nasa.gov/","type":"Forum"},{"url":"https://disc.gsfc.nasa.gov/information/howto","name":"How to","type":"Help documentation"},{"url":"https://disc.gsfc.nasa.gov/information/glossary","name":"Glossary","type":"Help documentation"},{"url":"https://www.youtube.com/user/NASAGESDISC","name":"Youtube","type":"Video"},{"url":"https://twitter.com/NASA_GESDISC","name":"@NASA_GESDISC","type":"Twitter"}],"year_creation":1996,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000036","name":"re3data:r3d100000036","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000977","bsg-d000977"],"name":"FAIRsharing record for: NASA Goddard Earth Sciences Data and Information Services Center","abbreviation":"GES DISC","url":"https://fairsharing.org/10.25504/FAIRsharing.7388wt","doi":"10.25504/FAIRsharing.7388wt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) is located at the Goddard Space Flight Center (GSFC) in Greenbelt, Maryland, and is one of 12 NASA Science Mission Directorate Data Centers that provide Earth science data, information, and services to research scientists, applications scientists, applications users, and students. They archive and support data sets applicable to several NASA Earth Science Focus Areas including: Atmospheric Composition, Water \u0026 Energy Cycles, and Climate Variability. The GES DISC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Hydrogeology","Earth Science","Atmospheric Science","Oceanography"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NASA Web Privacy Policy and Important Notices","licence_id":541,"licence_url":"https://www.nasa.gov/about/highlights/HP_Privacy.html","link_id":2034,"relation":"undefined"}],"grants":[{"id":2712,"fairsharing_record_id":2495,"organisation_id":1186,"relation":"maintains","created_at":"2021-09-30T09:25:53.366Z","updated_at":"2021-09-30T09:25:53.366Z","grant_id":null,"is_lead":false,"saved_state":{"id":1186,"name":"Goddard Earth Sciences Data and Information Systems, NASA Goddard Space Flight Center, Greenbelt, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2713,"fairsharing_record_id":2495,"organisation_id":806,"relation":"maintains","created_at":"2021-09-30T09:25:53.408Z","updated_at":"2021-09-30T09:25:53.408Z","grant_id":null,"is_lead":false,"saved_state":{"id":806,"name":"Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2714,"fairsharing_record_id":2495,"organisation_id":808,"relation":"maintains","created_at":"2021-09-30T09:25:53.449Z","updated_at":"2021-09-30T09:25:53.449Z","grant_id":null,"is_lead":false,"saved_state":{"id":808,"name":"Earth Science Data and Information System Project (ESDIS), Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2715,"fairsharing_record_id":2495,"organisation_id":809,"relation":"maintains","created_at":"2021-09-30T09:25:53.490Z","updated_at":"2021-09-30T09:25:53.490Z","grant_id":null,"is_lead":false,"saved_state":{"id":809,"name":"Earth Science Data Systems (ESDS) Program, Earth Science Projects Division (ESPD), Goddard Space Flight Center (GSFC), NASA Headquarters, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2498","type":"fairsharing_records","attributes":{"created_at":"2017-08-04T15:59:19.000Z","updated_at":"2024-01-11T11:51:49.389Z","metadata":{"doi":"10.25504/FAIRsharing.rd6gxr","name":"SIMBAD Astronomical Database","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"cds-question@unistra.fr"}],"homepage":"http://simbad.u-strasbg.fr/simbad/","citations":[],"identifier":2498,"description":"SIMBAD provides information on astronomical objects of interest which have been studied in scientific articles. It provides a bibliography as well as basic information such as the nature of the object, its coordinates, magnitudes, proper motions and parallax, velocity/redshift, size, spectral or morphological type, and the multitude of names (identifiers) given in the literature.","abbreviation":"SIMBAD","data_curation":{"type":"manual/automated","notes":"Professional"},"year_creation":1950,"data_versioning":"no","associated_tools":[{"url":"https://aladin.u-strasbg.fr/java/nph-aladin.pl?frame=downloading","name":"Aladin Desktop"},{"url":"https://aladin.u-strasbg.fr/AladinLite/","name":"Aladin Lite"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010163","name":"re3data:r3d100010163","portal":"re3data"}],"data_access_condition":{"url":"http://simbad.cds.unistra.fr/simbad/","type":"open","notes":"Usable by interactive web pages and also APIs"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000980","bsg-d000980"],"name":"FAIRsharing record for: SIMBAD Astronomical Database","abbreviation":"SIMBAD","url":"https://fairsharing.org/10.25504/FAIRsharing.rd6gxr","doi":"10.25504/FAIRsharing.rd6gxr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SIMBAD provides information on astronomical objects of interest which have been studied in scientific articles. It provides a bibliography as well as basic information such as the nature of the object, its coordinates, magnitudes, proper motions and parallax, velocity/redshift, size, spectral or morphological type, and the multitude of names (identifiers) given in the literature.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Astrophysics and Astronomy","Natural Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":2722,"fairsharing_record_id":2498,"organisation_id":2988,"relation":"maintains","created_at":"2021-09-30T09:25:53.762Z","updated_at":"2021-09-30T09:25:53.762Z","grant_id":null,"is_lead":false,"saved_state":{"id":2988,"name":"Universite de Strasbourg, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2721,"fairsharing_record_id":2498,"organisation_id":2651,"relation":"maintains","created_at":"2021-09-30T09:25:53.729Z","updated_at":"2021-09-30T09:25:53.729Z","grant_id":null,"is_lead":false,"saved_state":{"id":2651,"name":"Strasbourg Astronomical Data Center, Strasbourg Astronomical Observatory","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":9208,"fairsharing_record_id":2498,"organisation_id":1974,"relation":"funds","created_at":"2022-04-11T12:07:22.198Z","updated_at":"2022-04-11T12:07:22.198Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2500","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T10:39:04.000Z","updated_at":"2023-06-23T16:19:15.097Z","metadata":{"doi":"10.25504/FAIRsharing.1frnts","name":"UK Solar System Data Centre Data Archive","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"support@ukssdc.ac.uk"}],"homepage":"https://www.ukssdc.ac.uk","identifier":2500,"description":"The UK Solar System Data Centre (UKSSDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Solar terrestrial physics and chemistry. It provides a central archive and data centre facility for Solar System science in the UK. The UKSSDC supports data archives for the whole UK solar system community encompassing solar, inter-planetary, magnetospheric, ionospheric and geomagnetic science. The UKSSDC is part of RAL Space based at the STFC run Rutherford Appleton Laboratory in Oxfordshire.","abbreviation":"UKSSDC","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ukssdc.ac.uk/contact.html","name":"Contact form","type":"Contact form"},{"url":"http://www.nerc.ac.uk/research/sites/data/doi/","name":"NERC DOI Information","type":"Help documentation"}],"year_creation":2004,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010714","name":"re3data:r3d100010714","portal":"re3data"}],"data_access_condition":{"url":"https://www.ukssdc.ac.uk/cgi-bin/wdcc1/userreg.pl","type":"controlled"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000982","bsg-d000982"],"name":"FAIRsharing record for: UK Solar System Data Centre Data Archive","abbreviation":"UKSSDC","url":"https://fairsharing.org/10.25504/FAIRsharing.1frnts","doi":"10.25504/FAIRsharing.1frnts","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Solar System Data Centre (UKSSDC) is the Natural Environment Research Council's (NERC) Designated Data Centre for the Solar terrestrial physics and chemistry. It provides a central archive and data centre facility for Solar System science in the UK. The UKSSDC supports data archives for the whole UK solar system community encompassing solar, inter-planetary, magnetospheric, ionospheric and geomagnetic science. The UKSSDC is part of RAL Space based at the STFC run Rutherford Appleton Laboratory in Oxfordshire.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Geophysics","Astrophysics and Astronomy","Earth Science","Atmospheric Science"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":2725,"fairsharing_record_id":2500,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:53.834Z","updated_at":"2021-09-30T09:25:53.834Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2726,"fairsharing_record_id":2500,"organisation_id":2519,"relation":"maintains","created_at":"2021-09-30T09:25:53.861Z","updated_at":"2021-09-30T09:25:53.861Z","grant_id":null,"is_lead":true,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2727,"fairsharing_record_id":2500,"organisation_id":2519,"relation":"funds","created_at":"2021-09-30T09:25:53.883Z","updated_at":"2021-09-30T09:25:53.883Z","grant_id":null,"is_lead":false,"saved_state":{"id":2519,"name":"Science and Technology Facilities Council (STFC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2496","type":"fairsharing_records","attributes":{"created_at":"2017-08-04T13:44:06.000Z","updated_at":"2023-12-15T10:32:46.028Z","metadata":{"doi":"10.25504/FAIRsharing.j5eden","name":"Australian Ocean Data Network Portal","status":"ready","contacts":[{"contact_name":"Contact email","contact_email":"info@aodn.org.au"}],"homepage":"https://portal.aodn.org.au","citations":[],"identifier":2496,"description":"The AODN Portal provides access to all available Australian marine and climate science data and provides the primary access to IMOS data including access to the IMOS metadata. Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.","abbreviation":"AODN","data_curation":{"url":"https://s3-ap-southeast-2.amazonaws.com/content.aodn.org.au/Documents/IMOS/Conventions/AODN_Data_Policy.pdf","type":"manual","notes":"Data should be curated prior to submission."},"support_links":[{"url":"https://help.aodn.org.au","name":"User guide","type":"Help documentation"},{"url":"https://github.com/aodn/","name":"Github","type":"Github"},{"url":"https://twitter.com/IMOS_AUS","name":"@IMOS_AUS","type":"Twitter"}],"data_versioning":"yes","associated_tools":[{"url":"https://help.aodn.org.au/aodn-data-tools/","name":"AODN/IMOS Data Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010914","name":"re3data:r3d100010914","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://help.aodn.org.au/contributing-data/overview/","type":"open"},"citation_to_related_publications":"no","certifications_and_community_badges":[{"url":"https://amt.coretrustseal.org/certificates","name":"CoreTrustSeal"},{"url":"https://worlddatasystem.org/members/wds-members-directory-pdf/","name":"World Data System Member"}],"data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000978","bsg-d000978"],"name":"FAIRsharing record for: Australian Ocean Data Network Portal","abbreviation":"AODN","url":"https://fairsharing.org/10.25504/FAIRsharing.j5eden","doi":"10.25504/FAIRsharing.j5eden","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The AODN Portal provides access to all available Australian marine and climate science data and provides the primary access to IMOS data including access to the IMOS metadata. Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Marine Biology","Earth Science","Oceanography"],"domains":["Marine environment","Climate"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Australia"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1466,"relation":"undefined"}],"grants":[{"id":2716,"fairsharing_record_id":2496,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:53.541Z","updated_at":"2021-09-30T09:25:53.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2717,"fairsharing_record_id":2496,"organisation_id":3133,"relation":"maintains","created_at":"2021-09-30T09:25:53.583Z","updated_at":"2021-09-30T09:25:53.583Z","grant_id":null,"is_lead":true,"saved_state":{"id":3133,"name":"University of Tasmania, Australia","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2512","type":"fairsharing_records","attributes":{"created_at":"2017-08-17T21:09:55.000Z","updated_at":"2023-12-15T10:31:39.397Z","metadata":{"doi":"10.25504/FAIRsharing.pjj4gd","name":"Biological and Chemical Oceanography Data Management Office","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"info@bco-dmo.org"}],"homepage":"https://www.bco-dmo.org/","identifier":2512,"description":"The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and the Division of Polar Programs Arctic Sciences and Antarctic Organisms \u0026 Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archive with appropriate national facilities.","abbreviation":"BCO-DMO","data_curation":{"url":"https://www.bco-dmo.org/files/bcodmo/BCO-DMO_Quick_Start_Guide.pdf","type":"manual/automated"},"support_links":[{"url":"https://blog.bco-dmo.org/","name":"BCO-DMO Blog","type":"Blog/News"},{"url":"https://www.bco-dmo.org/faq-page","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.linkedin.com/company/biological-and-chemical-oceanography-data-management-office","name":"LinkedIn","type":"Forum"},{"url":"https://www.bco-dmo.org/files/bcodmo/BCO-DMO_Quick_Start_Guide.pdf","name":"Quick Start Guide","type":"Help documentation"},{"url":"https://www.bco-dmo.org/how-get-started","name":"How to Contribute","type":"Help documentation"},{"url":"https://www.bco-dmo.org/resources","name":"Resources","type":"Help documentation"},{"url":"http://www.bco-dmo.org/files/bcodmo/BCO-DMO_Tutorial.pdf","name":"BCO-DMO Tutorial","type":"Training documentation"},{"url":"https://twitter.com/BCODMO","name":"@BCODMO","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100000012","name":"re3data:r3d100000012","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.bco-dmo.org/how-get-started","type":"controlled","notes":"One can only submit data from projects funded by NSF OCE's Biological or Chemical Oceanography Sections or the Division of Polar Programs' Antarctic Organisms \u0026 Ecosystems Program."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000994","bsg-d000994"],"name":"FAIRsharing record for: Biological and Chemical Oceanography Data Management Office","abbreviation":"BCO-DMO","url":"https://fairsharing.org/10.25504/FAIRsharing.pjj4gd","doi":"10.25504/FAIRsharing.pjj4gd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and the Division of Polar Programs Arctic Sciences and Antarctic Organisms \u0026 Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archive with appropriate national facilities.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12786}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Geography","Limnology","Biochemistry","Genomics","Proteomics","Ecology","Biodiversity","Atmospheric Science","Life Science","Microbiology","Oceanography","Biology"],"domains":["Climate"],"taxonomies":["All"],"user_defined_tags":["Ecological modeling"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2420,"relation":"undefined"}],"grants":[{"id":2766,"fairsharing_record_id":2512,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:55.287Z","updated_at":"2021-09-30T09:29:17.651Z","grant_id":181,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCE-1435578","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2513","type":"fairsharing_records","attributes":{"created_at":"2017-08-18T10:31:21.000Z","updated_at":"2023-06-23T11:20:32.115Z","metadata":{"doi":"10.25504/FAIRsharing.jnzrt","name":"Project Tycho: Data for Health","status":"ready","contacts":[{"contact_name":"Wilbert van Panhuis","contact_email":"tycho@phdl.pitt.edu","contact_orcid":"0000-0002-7278-9982"}],"homepage":"http://www.tycho.pitt.edu","citations":[],"identifier":2513,"description":"In 2013 the the first version of Project Tycho contained weekly case counts for 50 notifiable conditions reported by health agencies in the United States for 50 states and 1284 cities between 1888 and 2014. Over the past four years, over 3700 users have registered to use Project Tycho data for a total of 40 creative works including peer-reviewed research papers, visualizations, online applications, and newspaper articles. Project Tycho 2.0 has expanded its scope to a global level and improved standardization, following FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles where possible. Project Tycho 2.0 includes case counts for 28 additional notifiable conditions for the US and includes data for dengue-related conditions for 99 countries between 1955 and 2010, obtained from the World Health Organization and Ministries of Health. Project Tycho 2.0 datasets are represented in a standard format and include standard SNOMED-CT codes for reported conditions, ISO 3166 codes for countries and first administrative level subdivisions, and NCBI TaxonID numbers for pathogens. Metadata for Project Tycho datasets are available on the website in human-readable format, but also in machine-interpretable DATS and DataCite metadata files.","abbreviation":"Project Tycho","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.tycho.pitt.edu/#contact","name":"Contact Form","type":"Contact form"}],"year_creation":2013,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011948","name":"re3data:r3d100011948","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_010489","name":"SciCrunch:RRID:SCR_010489","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000995","bsg-d000995"],"name":"FAIRsharing record for: Project Tycho: Data for Health","abbreviation":"Project Tycho","url":"https://fairsharing.org/10.25504/FAIRsharing.jnzrt","doi":"10.25504/FAIRsharing.jnzrt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In 2013 the the first version of Project Tycho contained weekly case counts for 50 notifiable conditions reported by health agencies in the United States for 50 states and 1284 cities between 1888 and 2014. Over the past four years, over 3700 users have registered to use Project Tycho data for a total of 40 creative works including peer-reviewed research papers, visualizations, online applications, and newspaper articles. Project Tycho 2.0 has expanded its scope to a global level and improved standardization, following FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles where possible. Project Tycho 2.0 includes case counts for 28 additional notifiable conditions for the US and includes data for dengue-related conditions for 99 countries between 1955 and 2010, obtained from the World Health Organization and Ministries of Health. Project Tycho 2.0 datasets are represented in a standard format and include standard SNOMED-CT codes for reported conditions, ISO 3166 codes for countries and first administrative level subdivisions, and NCBI TaxonID numbers for pathogens. Metadata for Project Tycho datasets are available on the website in human-readable format, but also in machine-interpretable DATS and DataCite metadata files.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12256},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12787}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Health Science","Global Health","Biomedical Science","Epidemiology"],"domains":["FAIR"],"taxonomies":["anaplasma phagocytophylum","Babesiidae","Bacillus anthracis","Borrelia","Brucella","Campylobacter","Chalmydia psittaci","Chlamydia","Chlamydia trachomatis","Clostridium tetani","Coccidioides","Corynebacterium diphtheriae","Cryptosporidium","Dengue virus","Ehrlichia chaffeensis","Entamoeba histolytica","Enterobacteriaceae","Enterovirus C","Escherichia coli","Eschericia coli O157:H7","Firmicutes","Francisella tularensis","Giardia","Haemophilus influenzae","Hepatitis b virus","Hepatitis C virus","Homo sapiens","Human hepatitis A virus","Human herpesvirus 3","Human immunodeficiency virus","Legionella","Listeria monocytogenes","Measles virus","Mumps virus","Mycobacterium leprae","Mycobacterium tuberculosis","Neisseria gonorrhoeae","Neisseria meningitidis","Neisseria meningitidis serogroup B","Plasmodium","Rickettsiales","Rickettsia rickettsii","Rubella virus","Salmonella","Salmonella enterica subsp.enterica serovar Typhi","Shigella","Streptococcus pneumoniae","Streptococcus sp. group A","Treponema pallidum","Trichinella","unidentified influenza virus","Variola virus","Vibrio cholerae","West Nile virus","Yellow fever virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2598,"pubmed_id":24283231,"title":"Contagious diseases in the United States from 1888 to the present.","year":2013,"url":"http://doi.org/10.1056/NEJMms1215400","authors":"van Panhuis WG,Grefenstette J,Jung SY,Chok NS,Cross A,Eng H,Lee BY,Zadorozhny V,Brown S,Cummings D,Burke DS","journal":"N Engl J Med","doi":"10.1056/NEJMms1215400","created_at":"2021-09-30T08:27:18.839Z","updated_at":"2021-09-30T08:27:18.839Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":680,"relation":"undefined"},{"licence_name":"Project Tycho CC BY 4.0 License Document","licence_id":684,"licence_url":"https://www.tycho.pitt.edu/license/","link_id":681,"relation":"undefined"}],"grants":[{"id":2767,"fairsharing_record_id":2513,"organisation_id":2382,"relation":"maintains","created_at":"2021-09-30T09:25:55.311Z","updated_at":"2021-09-30T09:25:55.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":2382,"name":"Public Health Dynamics Laboratory, University of Pittsburgh, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2773,"fairsharing_record_id":2513,"organisation_id":2370,"relation":"maintains","created_at":"2021-09-30T09:25:55.533Z","updated_at":"2021-09-30T09:25:55.533Z","grant_id":null,"is_lead":false,"saved_state":{"id":2370,"name":"Project Tycho","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2768,"fairsharing_record_id":2513,"organisation_id":708,"relation":"maintains","created_at":"2021-09-30T09:25:55.345Z","updated_at":"2021-09-30T09:25:55.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":708,"name":"Department of Epidemiology, University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2770,"fairsharing_record_id":2513,"organisation_id":3114,"relation":"maintains","created_at":"2021-09-30T09:25:55.417Z","updated_at":"2021-09-30T09:25:55.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":3114,"name":"University of Pittsburgh Medical Center, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2772,"fairsharing_record_id":2513,"organisation_id":2033,"relation":"funds","created_at":"2021-09-30T09:25:55.496Z","updated_at":"2021-09-30T09:32:41.257Z","grant_id":1733,"is_lead":false,"saved_state":{"id":2033,"name":"National Institutes of Health Big Data to Knowledge (BD2K), Bethesda, MD, USA","grant":"5K01ES026836-03","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2774,"fairsharing_record_id":2513,"organisation_id":3115,"relation":"maintains","created_at":"2021-09-30T09:25:55.577Z","updated_at":"2021-09-30T09:25:55.577Z","grant_id":null,"is_lead":false,"saved_state":{"id":3115,"name":"University of Pittsburgh, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2769,"fairsharing_record_id":2513,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:55.375Z","updated_at":"2021-09-30T09:28:56.152Z","grant_id":22,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"5U54GM088491-09","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2771,"fairsharing_record_id":2513,"organisation_id":217,"relation":"funds","created_at":"2021-09-30T09:25:55.459Z","updated_at":"2021-09-30T09:30:40.992Z","grant_id":820,"is_lead":false,"saved_state":{"id":217,"name":"Bill and Melinda Gates Foundation, Seattle, Washington, USA","grant":"49276","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ29CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f4cbd6c1ae0b37286146915e026d3ecd29637ca9/tycho.png?disposition=inline","exhaustive_licences":false}},{"id":"2514","type":"fairsharing_records","attributes":{"created_at":"2017-08-20T18:01:53.000Z","updated_at":"2024-03-20T13:35:32.585Z","metadata":{"doi":"10.25504/FAIRsharing.nwz68","name":"VDJdb: a curated database of T-cell receptors with known antigen specificity","status":"ready","contacts":[{"contact_name":"Mikhail Shugay","contact_email":"mikhail.shugay@gmail.com","contact_orcid":"0000-0001-7826-7942"}],"homepage":"https://vdjdb.cdr3.net","citations":[],"identifier":2514,"description":"The primary goal of VDJdb is to facilitate access to existing information on T-cell receptor antigen specificities, i.e. the ability to recognize certain epitopes in certain MHC contexts. Our mission is to both aggregate the scarce TCR specificity information available so far and to create a curated repository to store such data. In addition to routine database updates providing the most up-to-date information, we make our best to ensure data consistency and fight irregularities in TCR specificity reporting with a complex database validation scheme.","abbreviation":"VDJdb","data_curation":{"type":"automated"},"support_links":[{"url":"https://github.com/antigenomics/vdjdb-db/issues","name":"Issue tracker","type":"Github"},{"url":"https://gitter.im/antigenomics/vdjdb-db","name":"Interactive chat","type":"Help documentation"},{"url":"https://zenodo.org/record/838663#.WZq4IsaZOwI","name":"Documentation","type":"Help documentation"},{"url":"https://github.com/antigenomics/vdjdb-db ","name":"DB GitHub","type":"Github"}],"year_creation":2017,"data_versioning":"no","associated_tools":[],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://github.com/antigenomics/vdjdb-db/blob/master/README.md#submission-guide","type":"open","notes":"Free registration is required."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000996","bsg-d000996"],"name":"FAIRsharing record for: VDJdb: a curated database of T-cell receptors with known antigen specificity","abbreviation":"VDJdb","url":"https://fairsharing.org/10.25504/FAIRsharing.nwz68","doi":"10.25504/FAIRsharing.nwz68","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary goal of VDJdb is to facilitate access to existing information on T-cell receptor antigen specificities, i.e. the ability to recognize certain epitopes in certain MHC contexts. Our mission is to both aggregate the scarce TCR specificity information available so far and to create a curated repository to store such data. In addition to routine database updates providing the most up-to-date information, we make our best to ensure data consistency and fight irregularities in TCR specificity reporting with a complex database validation scheme.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Medicine","Bioinformatics","Immunogenetics","Health Science","Biomedical Science"],"domains":[],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Immunogenomics"],"countries":["Czech Republic","Russia","European Union"],"publications":[{"id":4202,"pubmed_id":null,"title":"VDJdb in the pandemic era: a compendium of T cell receptors specific for SARS-CoV-2","year":2022,"url":"http://dx.doi.org/10.1038/s41592-022-01578-0","authors":"Goncharov, Mikhail; Bagaev, Dmitry; Shcherbinin, Dmitrii; Zvyagin, Ivan; Bolotin, Dmitry; Thomas, Paul G.; Minervina, Anastasia A.; Pogorelyy, Mikhail V.; Ladell, Kristin; McLaren, James E.; Price, David A.; Nguyen, Thi H. O.; Rowntree, Louise C.; Clemens, E. Bridie; Kedzierska, Katherine; Dolton, Garry; Rius, Cristina Rafael; Sewell, Andrew; Samir, Jerome; Luciani, Fabio; Zornikova, Ksenia V.; Khmelevskaya, Alexandra A.; Sheetikov, Saveliy A.; Efimov, Grigory A.; Chudakov, Dmitry; Shugay, Mikhail; ","journal":"Nat Methods","doi":"10.1038/s41592-022-01578-0","created_at":"2024-03-20T13:18:48.958Z","updated_at":"2024-03-20T13:18:48.958Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":1074,"relation":"undefined"}],"grants":[{"id":11497,"fairsharing_record_id":2514,"organisation_id":4322,"relation":"maintains","created_at":"2024-03-20T13:25:18.653Z","updated_at":"2024-03-20T13:25:18.653Z","grant_id":null,"is_lead":true,"saved_state":{"id":4322,"name":"Institute of Bioorganic Chemistry","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdjREIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--f6e38cdb8e0ea19a3ad41fc95a7c1684a4613ca0/Screenshot%20from%202024-03-20%2013-17-56.png?disposition=inline","exhaustive_licences":false}},{"id":"2515","type":"fairsharing_records","attributes":{"created_at":"2017-09-08T15:55:31.000Z","updated_at":"2024-02-07T17:44:57.648Z","metadata":{"doi":"10.25504/FAIRsharing.sym4ne","name":"The Encyclopedia of Proteome Dynamics","status":"deprecated","contacts":[{"contact_name":"Alejandro Brenes","contact_email":"ajbrenesmurillo@dundee.ac.uk","contact_orcid":""}],"homepage":"https://peptracker.com/epd","citations":[],"identifier":2515,"description":"The EPD has been created and is maintained by the Lamond group in the University of Dundee. It combines a polyglot persistent database and web-application that provides open access to integrated proteomics data for \u003e30 000 proteins from published studies on human cells and model organisms. It is designed to provide a user-friendly interface, featuring graphical navigation with interactive visualizations that facilitate powerful data exploration in an intuitive manner. The EPD offers a flexible and scalable ecosystem to integrate proteomics data with genomics information, RNA expression and other related, large-scale datasets.","abbreviation":"EPD","data_curation":{"type":"not found"},"support_links":[{"url":"peptracker@dundee.ac.uk","name":"EPD Contact","type":"Support email"},{"url":"https://peptracker.com/epd/details/","name":"Details","type":"Help documentation"},{"url":"https://peptracker.com/epd/about/","name":"About","type":"Help documentation"},{"url":"https://peptracker.com/epd/publications/","name":"Publications","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2022-01-19","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000997","bsg-d000997"],"name":"FAIRsharing record for: The Encyclopedia of Proteome Dynamics","abbreviation":"EPD","url":"https://fairsharing.org/10.25504/FAIRsharing.sym4ne","doi":"10.25504/FAIRsharing.sym4ne","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The EPD has been created and is maintained by the Lamond group in the University of Dundee. It combines a polyglot persistent database and web-application that provides open access to integrated proteomics data for \u003e30 000 proteins from published studies on human cells and model organisms. It is designed to provide a user-friendly interface, featuring graphical navigation with interactive visualizations that facilitate powerful data exploration in an intuitive manner. The EPD offers a flexible and scalable ecosystem to integrate proteomics data with genomics information, RNA expression and other related, large-scale datasets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Data Visualization"],"domains":["Peptide identification","Peptide library","Post-translational protein modification"],"taxonomies":["Caenorhabditis elegans","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":2256,"pubmed_id":null,"title":"The Encyclopedia of Proteome Dynamics: a big data ecosystem for (prote)omics","year":2017,"url":"http://doi.org/10.1093/nar/gkx807","authors":"Brenes A, Afzal V, Kent R, Lamond A.I","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx807","created_at":"2021-09-30T08:26:34.374Z","updated_at":"2021-09-30T08:26:34.374Z"}],"licence_links":[],"grants":[{"id":2775,"fairsharing_record_id":2515,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:55.618Z","updated_at":"2021-09-30T09:25:55.618Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2778,"fairsharing_record_id":2515,"organisation_id":3049,"relation":"maintains","created_at":"2021-09-30T09:25:55.731Z","updated_at":"2021-09-30T09:25:55.731Z","grant_id":null,"is_lead":false,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2776,"fairsharing_record_id":2515,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:55.660Z","updated_at":"2021-09-30T09:25:55.660Z","grant_id":null,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2777,"fairsharing_record_id":2515,"organisation_id":1684,"relation":"maintains","created_at":"2021-09-30T09:25:55.698Z","updated_at":"2021-09-30T09:25:55.698Z","grant_id":null,"is_lead":false,"saved_state":{"id":1684,"name":"Lamond Group","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2517","type":"fairsharing_records","attributes":{"created_at":"2017-10-04T18:19:05.000Z","updated_at":"2023-12-15T10:31:23.375Z","metadata":{"doi":"10.25504/FAIRsharing.ccwcz6","name":"NCI Center for Strategic Scientific Initiatives Data Coordinating Center","status":"ready","contacts":[{"contact_name":"Paul Aiyetan, MD","contact_email":"paul.aiyetan@nih.gov","contact_orcid":"0000-0001-9031-000X"}],"homepage":"https://cssi-dcc.nci.nih.gov/cssiportal/","identifier":2517,"description":"The CSSI Data Coordinating Center (DCC) provides the greater Cancer Research and Biomedical Research communities access to the data from a myriad of projects that have been supported by CSSI -- serving as a permanent repository for these and related investigations. The DCC allows users in the community to download the metadata and data from these investigations in the ISA-TAB format. The DCC also allows any user to upload and download the metadata and data associated with investigations. The DCC has a graphical user interface allowing users to easily visualize the content within the data archives","abbreviation":"CSSI DCC","data_curation":{"type":"not found"},"support_links":[{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/contactus/","name":"CSSI DCC Portal Contact Form","type":"Contact form"},{"url":"https://wiki.nci.nih.gov/display/DSE/CSSI+DCC+Portal+User%27s+Guide","name":"CSSI DCC Portal User Guide","type":"Help documentation"},{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/news/","name":"News","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/search/","name":"Search"},{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/browse","name":"Browse"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://cssi-dcc.nci.nih.gov/cssiportal/about/#","type":"controlled","notes":"Only data generated in support of cancer research funded or supported by the CSSI can be submitted"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001000","bsg-d001000"],"name":"FAIRsharing record for: NCI Center for Strategic Scientific Initiatives Data Coordinating Center","abbreviation":"CSSI DCC","url":"https://fairsharing.org/10.25504/FAIRsharing.ccwcz6","doi":"10.25504/FAIRsharing.ccwcz6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CSSI Data Coordinating Center (DCC) provides the greater Cancer Research and Biomedical Research communities access to the data from a myriad of projects that have been supported by CSSI -- serving as a permanent repository for these and related investigations. The DCC allows users in the community to download the metadata and data from these investigations in the ISA-TAB format. The DCC also allows any user to upload and download the metadata and data associated with investigations. The DCC has a graphical user interface allowing users to easily visualize the content within the data archives","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Cancer"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2780,"fairsharing_record_id":2517,"organisation_id":1955,"relation":"funds","created_at":"2021-09-30T09:25:55.981Z","updated_at":"2021-09-30T09:25:55.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2782,"fairsharing_record_id":2517,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:56.061Z","updated_at":"2021-09-30T09:25:56.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9389,"fairsharing_record_id":2517,"organisation_id":1955,"relation":"maintains","created_at":"2022-04-11T12:07:35.099Z","updated_at":"2022-04-11T12:07:35.099Z","grant_id":null,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2523","type":"fairsharing_records","attributes":{"created_at":"2017-10-12T14:48:13.000Z","updated_at":"2023-12-15T10:29:38.990Z","metadata":{"doi":"10.25504/FAIRsharing.9997ek","name":"The Mass Genome Annotation Data Repository","status":"ready","contacts":[{"contact_name":"Philipp Bucher","contact_email":"ask-epd@googlegroups.com","contact_orcid":"0000-0003-4824-885X"}],"homepage":"https://epd.expasy.org/mga/","citations":[],"identifier":2523,"description":"The Mass Genome Annotation (MGA) Data Repository stores published next generation sequencing data and other genome annotation data (such as gene start sites, SNPs, etc.) that, in conjunction with the ChIP-Seq and SSA servers, can be accessed and studied by scientists. The main characteristic of the MGA database is to store mapped data (in the form of genomic coordinates of mapped reads) and not sequence files. In this way, each sample present in the database has been pre-processed (for example sequence reads have been mapped to a genome) and presented in a standardized text format.","abbreviation":"MGA","data_curation":{"url":"https://doi.org/10.1093/nar/gkx995","type":"manual"},"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"https://ccg.epfl.ch/chipseq/","name":"ChIP-Seq 1.5.4"},{"url":"https://ccg.epfl.ch/ssa/","name":"SSA 2.0"},{"url":"https://epd.expasy.org/ssa/","name":"Signal Search Analysis"},{"url":"https://epd.expasy.org/chipseq/","name":" ChIP-Seq data analysis"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001006","bsg-d001006"],"name":"FAIRsharing record for: The Mass Genome Annotation Data Repository","abbreviation":"MGA","url":"https://fairsharing.org/10.25504/FAIRsharing.9997ek","doi":"10.25504/FAIRsharing.9997ek","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Mass Genome Annotation (MGA) Data Repository stores published next generation sequencing data and other genome annotation data (such as gene start sites, SNPs, etc.) that, in conjunction with the ChIP-Seq and SSA servers, can be accessed and studied by scientists. The main characteristic of the MGA database is to store mapped data (in the form of genomic coordinates of mapped reads) and not sequence files. In this way, each sample present in the database has been pre-processed (for example sequence reads have been mapped to a genome) and presented in a standardized text format.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics"],"domains":["Annotation","Chromatin immunoprecipitation - DNA sequencing","Single nucleotide polymorphism"],"taxonomies":["Apis mellifera","Arabidopsis thaliana","Caenorhabditis elegans","Danio rerio","Drosophila melanogaster","Homo sapiens","Mus musculus","Saccharomyces cerevisiae","Schizosaccharomyces pombe","Zea mays"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[],"licence_links":[],"grants":[{"id":2791,"fairsharing_record_id":2523,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:56.375Z","updated_at":"2021-09-30T09:25:56.375Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2790,"fairsharing_record_id":2523,"organisation_id":819,"relation":"maintains","created_at":"2021-09-30T09:25:56.332Z","updated_at":"2021-09-30T09:25:56.332Z","grant_id":null,"is_lead":false,"saved_state":{"id":819,"name":"Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbThCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--abaed62dbeee8770c54de9239ead6bd88e763f4a/Screenshot%20from%202022-08-02%2008-53-34.png?disposition=inline","exhaustive_licences":false}},{"id":"2524","type":"fairsharing_records","attributes":{"created_at":"2017-10-30T22:31:08.000Z","updated_at":"2023-12-15T10:32:45.080Z","metadata":{"doi":"10.25504/FAIRsharing.by3p8p","name":"brainlife","status":"ready","contacts":[{"contact_name":"Franco Pestilli","contact_email":"pestilli@utexas.edu","contact_orcid":"0000-0002-2469-0494"}],"homepage":"https://brainlife.io","citations":[],"identifier":2524,"description":"Brainlife is an open, online platform that provides seamless access to cloud computing infrastructure and brain data and data derivatives. It aims to address challenges to neuroscience open sharing and reproducibility by providing integrative mechanisms for publishing data, and algorithms while embedding them with computing resources to impact multiple scientific communities. Brainlife is intended for neuroscientists, computer scientists, statisticians, and engineers interested in brain data to use the data or develop and publish their analysis methods.","abbreviation":"brainlife","data_curation":{"type":"none"},"support_links":[{"url":"brlife@iu.edu","name":"General Contact","type":"Support email"},{"url":"https://brainlife.slack.com/","name":"Brain Life Slack Channel","type":"Help documentation"},{"url":"https://github.com/brainlife/brainlife","name":"GitHub Project","type":"Github"},{"url":"https://brainlife.io/docs/","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/brainlifeio","name":"@brainlifeio","type":"Twitter"}],"year_creation":2017,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012397","name":"re3data:r3d100012397","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_020940","name":"SciCrunch:RRID:SCR_020940","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://brainlife.io/docs/user/started/#upload-data","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001007","bsg-d001007"],"name":"FAIRsharing record for: brainlife","abbreviation":"brainlife","url":"https://fairsharing.org/10.25504/FAIRsharing.by3p8p","doi":"10.25504/FAIRsharing.by3p8p","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Brainlife is an open, online platform that provides seamless access to cloud computing infrastructure and brain data and data derivatives. It aims to address challenges to neuroscience open sharing and reproducibility by providing integrative mechanisms for publishing data, and algorithms while embedding them with computing resources to impact multiple scientific communities. Brainlife is intended for neuroscientists, computer scientists, statisticians, and engineers interested in brain data to use the data or develop and publish their analysis methods.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Computational Neuroscience","Computational Biology","Computer Science","Biomedical Science","Bioengineering","Neuroscience"],"domains":["Brain","Brain imaging","Data storage"],"taxonomies":["All"],"user_defined_tags":["Neuroinformatics"],"countries":["United States"],"publications":[{"id":830,"pubmed_id":31123325,"title":"The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services.","year":2019,"url":"http://doi.org/10.1038/s41597-019-0073-y","authors":"Avesani P,McPherson B,Hayashi S,Caiafa CF,Henschel R,Garyfallidis E,Kitchell L,Bullock D,Patterson A,Olivetti E,Sporns O,Saykin AJ,Wang L,Dinov I,Hancock D,Caron B,Qian Y,Pestilli F","journal":"Sci Data","doi":"10.1038/s41597-019-0073-y","created_at":"2021-09-30T08:23:51.539Z","updated_at":"2021-09-30T08:23:51.539Z"}],"licence_links":[],"grants":[{"id":2793,"fairsharing_record_id":2524,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:56.453Z","updated_at":"2021-09-30T09:30:38.230Z","grant_id":800,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"BCS-1734853","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8353,"fairsharing_record_id":2524,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:32:14.239Z","updated_at":"2021-09-30T09:32:14.273Z","grant_id":1529,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"ISS-1636893","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2792,"fairsharing_record_id":2524,"organisation_id":3138,"relation":"maintains","created_at":"2021-09-30T09:25:56.409Z","updated_at":"2021-09-30T09:25:56.409Z","grant_id":null,"is_lead":true,"saved_state":{"id":3138,"name":"University of Texas at Austin, Austin, TX, USA","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2522","type":"fairsharing_records","attributes":{"created_at":"2017-10-30T13:39:53.000Z","updated_at":"2023-12-15T10:30:11.458Z","metadata":{"doi":"10.25504/FAIRsharing.dh32pc","name":"Target Pathogen","status":"ready","contacts":[{"contact_name":"Dario Fernandez Do Porto","contact_email":"dariofd@gmail.com"}],"homepage":"http://target.sbg.qb.fcen.uba.ar/patho/","identifier":2522,"description":"The Target-Pathogen database is a bioinformatic approach to prioritize drug targets in pathogens. Available genomic data for pathogens has created new opportunities for drug discovery and development, including new species, resistant and multiresistant ones. However, this data must be cohesively integrated to be fully exploited and be easy to interrogate. Target-Pathogen has been designed and developed as an online resource to allow genome wide based data consolidation from diverse sources focusing on structural druggability, essentiality and metabolic role of proteins. By allowing the integration and weighting of this information, this bioinformatic tool aims to facilitate the identification and prioritization of candidate drug targets for pathogens. With the structurome and drugome information Target-Pathogen is a unique resource to analyze whole genomes of relevants pathogens.","abbreviation":"Target Pathogen","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://target.sbg.qb.fcen.uba.ar/patho/user/tutorial","name":"Tutorial","type":"Help documentation"},{"url":"http://target.sbg.qb.fcen.uba.ar/patho/user/user_guide","name":"User Guide","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001005","bsg-d001005"],"name":"FAIRsharing record for: Target Pathogen","abbreviation":"Target Pathogen","url":"https://fairsharing.org/10.25504/FAIRsharing.dh32pc","doi":"10.25504/FAIRsharing.dh32pc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Target-Pathogen database is a bioinformatic approach to prioritize drug targets in pathogens. Available genomic data for pathogens has created new opportunities for drug discovery and development, including new species, resistant and multiresistant ones. However, this data must be cohesively integrated to be fully exploited and be easy to interrogate. Target-Pathogen has been designed and developed as an online resource to allow genome wide based data consolidation from diverse sources focusing on structural druggability, essentiality and metabolic role of proteins. By allowing the integration and weighting of this information, this bioinformatic tool aims to facilitate the identification and prioritization of candidate drug targets for pathogens. With the structurome and drugome information Target-Pathogen is a unique resource to analyze whole genomes of relevants pathogens.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11791}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Drug Discovery","Life Science"],"domains":["Genome visualization","Pathogen","Genome"],"taxonomies":["All"],"user_defined_tags":["Drug Target"],"countries":["Argentina"],"publications":[{"id":1380,"pubmed_id":29106651,"title":"Target-Pathogen: a structural bioinformatic approach to prioritize drug targets in pathogens.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1015","authors":"Sosa EJ,Burguener G,Lanzarotti E,Defelipe L,Radusky L,Pardo AM,Marti M,Turjanski AG,Fernandez Do Porto D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1015","created_at":"2021-09-30T08:24:54.332Z","updated_at":"2021-09-30T11:29:07.559Z"}],"licence_links":[],"grants":[{"id":2789,"fairsharing_record_id":2522,"organisation_id":982,"relation":"maintains","created_at":"2021-09-30T09:25:56.293Z","updated_at":"2021-09-30T09:25:56.293Z","grant_id":null,"is_lead":false,"saved_state":{"id":982,"name":"Facultad de Ciencias Exactas y Naturales - Universidad de Buenos Aires","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2509","type":"fairsharing_records","attributes":{"created_at":"2017-08-11T13:30:39.000Z","updated_at":"2023-06-23T09:56:24.299Z","metadata":{"doi":"10.25504/FAIRsharing.pn7yxf","name":"Swedish National Data Service","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"snd@gu.se"}],"homepage":"https://snd.gu.se/en","identifier":2509,"description":"Swedish National Data Service (SND) is a research data infrastructure that supports accessibility, preservation, and reuse of research data. The SND Search function makes it easy to find, use, and cite research data from a variety of scientific disciplines. SND is present throughout the Swedish research ecology, through an extensive network across closer to 40 higher education institutions and other research organisations. Together, SND and this network form a distributed system of certified research data repositories with the SND main office as a central node. The certification means that SND ensures that research data are managed, stored, and made accessible in a secure and sustainable manner, today and for the future. SND collaborates with various international stakeholders in order to advance global access to research data.","abbreviation":"SND","data_curation":{"url":"https://snd.gu.se/en/describe-and-share-data/share-data-step-step","type":"manual","notes":"step by step guide for data deposit and data curation (also documented here https://snd.gu.se/en/manage-data/prepare-and-share)"},"support_links":[{"url":"https://snd.gu.se/en/news-and-events","name":"News \u0026 events","type":"Blog/News"},{"url":"https://www.linkedin.com/company/svensk-nationell-datatj%C3%A4nst/?originalSubdomain=se","name":"LinkedIn","type":"Blog/News"},{"url":"https://snd.gu.se/en/describe-and-deposit-data/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://snd.gu.se/en/manage-data/guides","name":"Guides","type":"Help documentation"},{"url":"https://snd.gu.se/en/rss-news.xml","type":"Blog/News"},{"url":"https://twitter.com/sndSweden","type":"Twitter"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010146","name":"re3data:r3d100010146","portal":"re3data"}],"data_access_condition":{"url":"https://snd.gu.se/en/find-data/research-data-catalogue/accessibility-levels-snd","type":"partially open","notes":"Data can be freely accessible or restricted, and stored by SND or third party"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://snd.gu.se/en/about-us/snd-network","type":"controlled","notes":"available to the SND network (members from Swedish higher education institutions and public research institutes)"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000991","bsg-d000991"],"name":"FAIRsharing record for: Swedish National Data Service","abbreviation":"SND","url":"https://fairsharing.org/10.25504/FAIRsharing.pn7yxf","doi":"10.25504/FAIRsharing.pn7yxf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Swedish National Data Service (SND) is a research data infrastructure that supports accessibility, preservation, and reuse of research data. The SND Search function makes it easy to find, use, and cite research data from a variety of scientific disciplines. SND is present throughout the Swedish research ecology, through an extensive network across closer to 40 higher education institutions and other research organisations. Together, SND and this network form a distributed system of certified research data repositories with the SND main office as a central node. The certification means that SND ensures that research data are managed, stored, and made accessible in a secure and sustainable manner, today and for the future. SND collaborates with various international stakeholders in order to advance global access to research data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Humanities","Social Science","Health Science","Life Science","Social and Behavioural Science","Biomedical Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[],"grants":[{"id":2751,"fairsharing_record_id":2509,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:25:54.727Z","updated_at":"2021-09-30T09:25:54.727Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2755,"fairsharing_record_id":2509,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:25:54.867Z","updated_at":"2021-09-30T09:25:54.867Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2758,"fairsharing_record_id":2509,"organisation_id":1733,"relation":"maintains","created_at":"2021-09-30T09:25:54.984Z","updated_at":"2021-09-30T09:25:54.984Z","grant_id":null,"is_lead":false,"saved_state":{"id":1733,"name":"Lund University, Lund, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2760,"fairsharing_record_id":2509,"organisation_id":2905,"relation":"maintains","created_at":"2021-09-30T09:25:55.067Z","updated_at":"2021-09-30T09:25:55.067Z","grant_id":null,"is_lead":false,"saved_state":{"id":2905,"name":"Umeå University, Umeå, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2752,"fairsharing_record_id":2509,"organisation_id":2674,"relation":"maintains","created_at":"2021-09-30T09:25:54.752Z","updated_at":"2021-09-30T09:25:54.752Z","grant_id":null,"is_lead":false,"saved_state":{"id":2674,"name":"Swedish National Data Service","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2753,"fairsharing_record_id":2509,"organisation_id":2645,"relation":"maintains","created_at":"2021-09-30T09:25:54.783Z","updated_at":"2021-09-30T09:25:54.783Z","grant_id":null,"is_lead":false,"saved_state":{"id":2645,"name":"Stockholm University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2754,"fairsharing_record_id":2509,"organisation_id":3058,"relation":"maintains","created_at":"2021-09-30T09:25:54.825Z","updated_at":"2021-09-30T09:25:54.825Z","grant_id":null,"is_lead":false,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2756,"fairsharing_record_id":2509,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:25:54.905Z","updated_at":"2021-09-30T09:25:54.905Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2757,"fairsharing_record_id":2509,"organisation_id":491,"relation":"maintains","created_at":"2021-09-30T09:25:54.942Z","updated_at":"2021-09-30T09:25:54.942Z","grant_id":null,"is_lead":false,"saved_state":{"id":491,"name":"Chalmers University of Technology, Gothenburg, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2759,"fairsharing_record_id":2509,"organisation_id":2676,"relation":"maintains","created_at":"2021-09-30T09:25:55.025Z","updated_at":"2021-09-30T09:25:55.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":2676,"name":"Swedish University of Agricultural Sciences","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2761,"fairsharing_record_id":2509,"organisation_id":1651,"relation":"maintains","created_at":"2021-09-30T09:25:55.106Z","updated_at":"2021-09-30T09:25:55.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":1651,"name":"KTH Royal Institute of Technology, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2511","type":"fairsharing_records","attributes":{"created_at":"2017-08-16T07:31:15.000Z","updated_at":"2024-02-01T11:53:22.589Z","metadata":{"doi":"10.25504/FAIRsharing.1sfhp3","name":"Donders Repository","status":"deprecated","contacts":[{"contact_name":"Robert Oostenveld","contact_email":"r.oostenveld@donders.ru.nl","contact_orcid":"0000-0002-1974-1293"},{"contact_name":"Didi Lamers","contact_email":"didi.lamers@ru.nl","contact_orcid":"0000-0001-5539-9870"}],"homepage":"http://data.donders.ru.nl","citations":[],"identifier":2511,"description":"The Donders Institute for Brain, Cognition and Behavior at the Radboud University created the Donders Repository for archiving, preserving and sharing the research data generated and processed at the institute.","abbreviation":"DR","data_curation":{"type":"none"},"support_links":[{"url":"https://data.donders.ru.nl/doc/help/","type":"Help documentation"},{"url":"rdmsupport@ubn.ru.nl","name":"Research Data Management Support","type":"Support email"}],"year_creation":2016,"data_versioning":"yes","associated_tools":[{"url":"https://irods.org","name":"iRODS"},{"url":"https://cyberduck.io","name":"CyberDuck"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012701","name":"re3data:r3d100012701","portal":"re3data"}],"deprecation_date":"2024-02-01","deprecation_reason":"The Donders Repository has been merged with the Radboud Data Repository (RDR): https://doi.org/10.25504/FAIRsharing.559bc5. Researchers should now use the RDR at https://data.ru.nl instead of the Donders Repository (https://data.donders.ru.nl). All datasets of the Donders Repository are findable on the web portal of the RDR, and the Donders Repository URLs redirect to the RDR web portal. ","data_access_condition":{"url":"https://data.donders.ru.nl/doc/help/helppages/visitor-manual.html?3","type":"partially open","notes":"Collections can be accessed in different ways depending on the collection type (Open access, Open access for Registered Users or Restricted access) or your status (reviewer or visitor)."},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://data.donders.ru.nl/doc/help/helppages/best-practices.html?9","type":"controlled","notes":"The Donders Repository is a data repository for researchers of Radboud University to archive and/or publish their research data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000993","bsg-d000993"],"name":"FAIRsharing record for: Donders Repository","abbreviation":"DR","url":"https://fairsharing.org/10.25504/FAIRsharing.1sfhp3","doi":"10.25504/FAIRsharing.1sfhp3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Donders Institute for Brain, Cognition and Behavior at the Radboud University created the Donders Repository for archiving, preserving and sharing the research data generated and processed at the institute.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurophysiology","Computational Neuroscience","Life Science","Social and Behavioural Science"],"domains":["Behavior","Cognition","Brain","Brain imaging"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3334,"relation":"applies_to_content"},{"licence_name":"Donders Repository Privacy Policy","licence_id":251,"licence_url":"https://data.donders.ru.nl/doc/privacy_policy.html","link_id":1432,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":3335,"relation":"applies_to_content"},{"licence_name":"Open Data Commons Open Database License (ODC ODbL) 1.0","licence_id":621,"licence_url":"http://opendatacommons.org/licenses/odbl/1.0/","link_id":3336,"relation":"applies_to_content"},{"licence_name":"RU-DI-HD-1.0 - License for potentially identifying human data","licence_id":717,"licence_url":"https://data.donders.ru.nl/doc/dua/RU-DI-HD-1.0.html","link_id":1433,"relation":"undefined"},{"licence_name":"RU-DI-NH-1.0 - License for non-identifiable or non-human data","licence_id":718,"licence_url":"https://data.donders.ru.nl/doc/dua/RU-DI-NH-1.0.html","link_id":1434,"relation":"undefined"}],"grants":[{"id":2764,"fairsharing_record_id":2511,"organisation_id":2398,"relation":"maintains","created_at":"2021-09-30T09:25:55.217Z","updated_at":"2021-09-30T09:25:55.217Z","grant_id":null,"is_lead":false,"saved_state":{"id":2398,"name":"Radboud University","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2765,"fairsharing_record_id":2511,"organisation_id":779,"relation":"maintains","created_at":"2021-09-30T09:25:55.254Z","updated_at":"2021-09-30T09:25:55.254Z","grant_id":null,"is_lead":false,"saved_state":{"id":779,"name":"Donders Institute for Brain, Cognition and Behavior, Netherlands","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2507","type":"fairsharing_records","attributes":{"created_at":"2017-08-10T15:51:09.000Z","updated_at":"2024-02-05T11:08:14.503Z","metadata":{"doi":"10.25504/FAIRsharing.mtjvme","name":"BioStudies","status":"ready","contacts":[{"contact_name":"Ugis Sarkans","contact_email":"ugis@ebi.ac.uk"}],"homepage":"https://www.ebi.ac.uk/biostudies/","citations":[{"doi":"10.1093/nar/gkx965","pubmed_id":29069414,"publication_id":183}],"identifier":2507,"description":"The mission of BioStudies is to provide access to all the data outputs of a life sciences study from a single place, by organising links to data in other databases at EMBL-EBI or elsewhere, as well as hosting data and metadata that do not fit anywhere else. The database accepts submissions via an online tool, or in a simple tab-delimited format. BioStudies provides rich mechanisms for defining and using metadata guidelines specific for a particular data source such as a project or a community, and organises datasets in collections.","abbreviation":"BioStudies","data_curation":{"url":"https://www.ebi.ac.uk/biostudies/help","type":"manual","notes":"BioStudies will work with submitters and users of the database to achieve the best quality resource possible."},"support_links":[{"url":"biostudies@ebi.ac.uk","name":"BioStudies Helpdesk","type":"Support email"},{"url":"https://www.ebi.ac.uk/biostudies/help","name":"Help Pages","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biostudies/about","name":"About BioStudies","type":"Help documentation"},{"url":"https://tess.elixir-europe.org/materials/reusing-existing-data","name":"Reusing existing data","type":"TeSS links to training materials"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012627","name":"re3data:r3d100012627","portal":"re3data"}],"data_access_condition":{"url":"https://www.ebi.ac.uk/biostudies/help","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.ebi.ac.uk/biostudies/help","name":"More information"},"data_deposition_condition":{"url":"https://www.ebi.ac.uk/biostudies/submit","type":"open"},"citation_to_related_publications":"yes","certifications_and_community_badges":[{"url":"https://elixir-europe.org/platforms/data/core-data-resources","name":"ELIXIR Core Data Resource"}],"data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000989","bsg-d000989"],"name":"FAIRsharing record for: BioStudies","abbreviation":"BioStudies","url":"https://fairsharing.org/10.25504/FAIRsharing.mtjvme","doi":"10.25504/FAIRsharing.mtjvme","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mission of BioStudies is to provide access to all the data outputs of a life sciences study from a single place, by organising links to data in other databases at EMBL-EBI or elsewhere, as well as hosting data and metadata that do not fit anywhere else. The database accepts submissions via an online tool, or in a simple tab-delimited format. BioStudies provides rich mechanisms for defining and using metadata guidelines specific for a particular data source such as a project or a community, and organises datasets in collections.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11404},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11851}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":183,"pubmed_id":29069414,"title":"The BioStudies database-one stop shop for all data supporting a life sciences study.","year":2017,"url":"http://doi.org/10.1093/nar/gkx965","authors":"Sarkans U,Gostev M,Athar A,Behrangi E,Melnichuk O,Ali A,Minguet J,Rada JC,Snow C,Tikhonov A,Brazma A,McEntyre J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx965","created_at":"2021-09-30T08:22:39.996Z","updated_at":"2021-09-30T11:28:43.750Z"},{"id":2248,"pubmed_id":26700850,"title":"The BioStudies database.","year":2015,"url":"http://doi.org/10.15252/msb.20156658","authors":"McEntyre J,Sarkans U,Brazma A","journal":"Mol Syst Biol","doi":"10.15252/msb.20156658","created_at":"2021-09-30T08:26:33.450Z","updated_at":"2021-09-30T08:26:33.450Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3437,"relation":"applies_to_content"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2126,"relation":"undefined"},{"licence_name":"CC-BY-SA 3.0 AT","licence_id":1014,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/at/legalcode","link_id":3436,"relation":"applies_to_content"}],"grants":[{"id":2747,"fairsharing_record_id":2507,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:54.592Z","updated_at":"2021-09-30T09:25:54.592Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10007,"fairsharing_record_id":2507,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.617Z","updated_at":"2022-10-13T09:43:38.617Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":9235,"fairsharing_record_id":2507,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:24.303Z","updated_at":"2022-04-11T12:07:24.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdnNCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--c08fff373a4f131f42d7a9d825e8589c7a364b38/logo-Biostudies.png?disposition=inline","exhaustive_licences":false}},{"id":"2520","type":"fairsharing_records","attributes":{"created_at":"2017-10-17T12:55:57.000Z","updated_at":"2023-12-15T10:30:00.123Z","metadata":{"doi":"10.25504/FAIRsharing.bwswdf","name":"Mutual Folding Induced by Binding Database","status":"ready","contacts":[{"contact_name":"Bálint Mészáros","contact_email":"mfib@ttk.mta.hu","contact_orcid":"0000-0003-0919-4449"}],"homepage":"http://mfib.enzim.ttk.mta.hu","identifier":2520,"description":"Mutual Folding Induced by Binding (MFIB) is a repository of protein complexes for which the folding of each constituent protein chain is coupled to the interaction forming the complex. This means that while the complexes are stable enough to have their structures solved by conventional structure determination methods (such as X-ray or NMR), the proteins or protein regions involved in the interaction do not have a stable structure in their free monomeric form (i.e. they are intrinsically disordered/unstructured).","abbreviation":"MFIB","data_curation":{"url":"https://mfib.enzim.ttk.mta.hu/help.php","type":"manual"},"support_links":[{"url":"http://mfib.enzim.ttk.mta.hu/help.php","name":"MFIB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://mfib.enzim.ttk.mta.hu/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://mfib.enzim.ttk.mta.hu/help.php","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001003","bsg-d001003"],"name":"FAIRsharing record for: Mutual Folding Induced by Binding Database","abbreviation":"MFIB","url":"https://fairsharing.org/10.25504/FAIRsharing.bwswdf","doi":"10.25504/FAIRsharing.bwswdf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Mutual Folding Induced by Binding (MFIB) is a repository of protein complexes for which the folding of each constituent protein chain is coupled to the interaction forming the complex. This means that while the complexes are stable enough to have their structures solved by conventional structure determination methods (such as X-ray or NMR), the proteins or protein regions involved in the interaction do not have a stable structure in their free monomeric form (i.e. they are intrinsically disordered/unstructured).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12790}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein interaction","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":300,"pubmed_id":29036655,"title":"MFIB: a repository of protein complexes with mutual folding induced by binding.","year":2017,"url":"http://doi.org/10.1093/bioinformatics/btx486","authors":"Ficho E,Remenyi I,Simon I,Meszaros B","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btx486","created_at":"2021-09-30T08:22:52.307Z","updated_at":"2021-09-30T08:22:52.307Z"}],"licence_links":[{"licence_name":"MFIB Free for academic and non-profit use","licence_id":508,"licence_url":"http://mfib.enzim.ttk.mta.hu/help.php","link_id":2197,"relation":"undefined"}],"grants":[{"id":2786,"fairsharing_record_id":2520,"organisation_id":1414,"relation":"maintains","created_at":"2021-09-30T09:25:56.208Z","updated_at":"2021-09-30T09:25:56.208Z","grant_id":null,"is_lead":false,"saved_state":{"id":1414,"name":"Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2787,"fairsharing_record_id":2520,"organisation_id":1909,"relation":"maintains","created_at":"2021-09-30T09:25:56.239Z","updated_at":"2021-09-30T09:25:56.239Z","grant_id":null,"is_lead":false,"saved_state":{"id":1909,"name":"MTA-ELTE Bioinformatics Research Group","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2526","type":"fairsharing_records","attributes":{"created_at":"2017-10-17T12:56:00.000Z","updated_at":"2023-06-23T11:10:15.454Z","metadata":{"doi":"10.25504/FAIRsharing.rt4gyp","name":"Disordered Binding Sites Database","status":"ready","contacts":[{"contact_email":"dibs@ttk.mta.hu","contact_orcid":"0000-0003-0919-4449"}],"homepage":"http://dibs.enzim.ttk.mta.hu","identifier":2526,"description":"Disordered Binding Sites (DIBS) is a repository of protein complexes that are formed by ordered and disordered proteins. Intrinsically disordered proteins (IDPs) do not have a stable 3D structure in isolation and therefore they defy structure determination by X-ray or NMR. However, many IDPs bind to ordered proteins and as a result of the interaction adopt a stable structure. In accord, complex structures involving binding sites in IDPs are available. DIBS offers a collection of these complexes where exactly one protein chain is disordered and all other proteins are ordered (i.e. are stable in their isolated form that is approved by available monomeric structures).","abbreviation":"DIBS","data_curation":{"url":"https://dibs.enzim.ttk.mta.hu/help.php","type":"manual"},"support_links":[{"url":"http://dibs.enzim.ttk.mta.hu/help.php","name":"DIBS FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://dibs.enzim.ttk.mta.hu/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001009","bsg-d001009"],"name":"FAIRsharing record for: Disordered Binding Sites Database","abbreviation":"DIBS","url":"https://fairsharing.org/10.25504/FAIRsharing.rt4gyp","doi":"10.25504/FAIRsharing.rt4gyp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Disordered Binding Sites (DIBS) is a repository of protein complexes that are formed by ordered and disordered proteins. Intrinsically disordered proteins (IDPs) do not have a stable 3D structure in isolation and therefore they defy structure determination by X-ray or NMR. However, many IDPs bind to ordered proteins and as a result of the interaction adopt a stable structure. In accord, complex structures involving binding sites in IDPs are available. DIBS offers a collection of these complexes where exactly one protein chain is disordered and all other proteins are ordered (i.e. are stable in their isolated form that is approved by available monomeric structures).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12791}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure","Protein interaction","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[],"licence_links":[{"licence_name":"DIBS Free for academic and non-profit use","licence_id":241,"licence_url":"http://dibs.enzim.ttk.mta.hu/help.php","link_id":1918,"relation":"undefined"}],"grants":[{"id":2797,"fairsharing_record_id":2526,"organisation_id":1414,"relation":"maintains","created_at":"2021-09-30T09:25:56.571Z","updated_at":"2021-09-30T09:25:56.571Z","grant_id":null,"is_lead":false,"saved_state":{"id":1414,"name":"Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2798,"fairsharing_record_id":2526,"organisation_id":1909,"relation":"maintains","created_at":"2021-09-30T09:25:56.600Z","updated_at":"2021-09-30T09:25:56.600Z","grant_id":null,"is_lead":false,"saved_state":{"id":1909,"name":"MTA-ELTE Bioinformatics Research Group","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2527","type":"fairsharing_records","attributes":{"created_at":"2017-10-17T13:39:06.000Z","updated_at":"2024-07-09T14:25:05.020Z","metadata":{"doi":"10.25504/FAIRsharing.d3bm3v","name":"Database of fuzzy protein complexes","status":"deprecated","contacts":[{"contact_name":"Monika Fuxreiter","contact_email":"fmoni@med.unideb.hu"}],"homepage":"http://protdyn-database.org/","citations":[],"identifier":2527,"description":"FuzDB compiles experimentally observed fuzzy protein complexes, where intrinsic disorder (ID) is maintained upon interacting with a partner (protein, nucleic acid or small molecule) and directly impacts biological function. Entries in the database have both (i) structural evidence demonstrating the structural multiplicity or dynamic disorder of the ID region(s) in the partner bound form of the protein and (ii) in vitro or in vivo biological evidence that indicates the significance of the fuzzy region(s) in the formation, function or regulation of the assembly. Unlike the other intrinsically disordered or unfolded protein databases, FuzDB focuses on ID regions within a biological context, including higher-order assemblies and presents a detailed analysis of the structural and functional data.","abbreviation":"FuzDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://protdyn-database.org/faqs.php","name":"Resource FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://protdyn-database.org/help.php","name":"Database Help","type":"Help documentation"},{"url":"http://protdyn-database.org/analysis.php","name":"Fuzzy Complex Analysis Help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2024-07-09","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001010","bsg-d001010"],"name":"FAIRsharing record for: Database of fuzzy protein complexes","abbreviation":"FuzDB","url":"https://fairsharing.org/10.25504/FAIRsharing.d3bm3v","doi":"10.25504/FAIRsharing.d3bm3v","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: FuzDB compiles experimentally observed fuzzy protein complexes, where intrinsic disorder (ID) is maintained upon interacting with a partner (protein, nucleic acid or small molecule) and directly impacts biological function. Entries in the database have both (i) structural evidence demonstrating the structural multiplicity or dynamic disorder of the ID region(s) in the partner bound form of the protein and (ii) in vitro or in vivo biological evidence that indicates the significance of the fuzzy region(s) in the formation, function or regulation of the assembly. Unlike the other intrinsically disordered or unfolded protein databases, FuzDB focuses on ID regions within a biological context, including higher-order assemblies and presents a detailed analysis of the structural and functional data.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12792}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein structure","Intrinsically disordered proteins"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Hungary"],"publications":[{"id":921,"pubmed_id":27794553,"title":"FuzDB: database of fuzzy complexes, a tool to develop stochastic structure-function relationships for protein complexes and higher-order assemblies.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1019","authors":"Miskei M,Antal C,Fuxreiter M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1019","created_at":"2021-09-30T08:24:01.695Z","updated_at":"2021-09-30T11:28:55.359Z"}],"licence_links":[],"grants":[{"id":2800,"fairsharing_record_id":2527,"organisation_id":1287,"relation":"funds","created_at":"2021-09-30T09:25:56.668Z","updated_at":"2021-09-30T09:29:59.180Z","grant_id":500,"is_lead":false,"saved_state":{"id":1287,"name":"Hungarian Scientific Research Fund, Hungary","grant":"NN 106562","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2799,"fairsharing_record_id":2527,"organisation_id":1891,"relation":"funds","created_at":"2021-09-30T09:25:56.637Z","updated_at":"2021-09-30T09:31:36.769Z","grant_id":1248,"is_lead":false,"saved_state":{"id":1891,"name":"Momentum Program of the Hungarian Academy of Sciences, Hungary","grant":"LP2012-41","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2518","type":"fairsharing_records","attributes":{"created_at":"2017-10-22T16:30:15.000Z","updated_at":"2023-06-23T15:36:41.826Z","metadata":{"doi":"10.25504/FAIRsharing.6y9h91","name":"ProteomicsDB","status":"ready","contacts":[{"contact_email":"proteomicsdb@wzw.tum.de"}],"homepage":"https://www.proteomicsdb.org/","identifier":2518,"description":"ProteomicsDB is a protein-centric in-memory database for the exploration of large collections of quantitative mass spectrometry-based proteomics data. ProteomicsDB was first released in 2014 to enable the interactive exploration of the first draft of the human proteome. To date, it contains quantitative data from 78 projects totalling over 19k LC-MS/MS experiments. A standardized analysis pipeline enables comparisons between multiple datasets to facilitate the exploration of protein expression across hundreds of tissues, body fluids and cell lines. We recently extended the data model to enable the storage and integrated visualization of other quantitative omics data. This includes transcriptomics data from e. g. NCBI GEO, protein-protein interaction information from STRING, functional annotations from KEGG, drug-sensitivity/selectivity data from several public sources and reference mass spectra from the ProteomeTools project. The extended functionality transforms ProteomicsDB into a multi-purpose resource connecting quantification and meta-data for each protein. The rich user interface helps researchers to navigate all data sources in either a protein-centric or multi-protein-centric manner. Several options are available to download data manually, while our application programming interface enables accessing quantitative data systematically.","abbreviation":"PrDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.proteomicsdb.org/proteomicsdb/#faq","name":"Proteomics DB FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.proteomicsdb.org/proteomicsdb/#analytics","name":"Analytics","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013408","name":"re3data:r3d100013408","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.proteomicsdb.org/disclaimer","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001001","bsg-d001001"],"name":"FAIRsharing record for: ProteomicsDB","abbreviation":"PrDB","url":"https://fairsharing.org/10.25504/FAIRsharing.6y9h91","doi":"10.25504/FAIRsharing.6y9h91","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProteomicsDB is a protein-centric in-memory database for the exploration of large collections of quantitative mass spectrometry-based proteomics data. ProteomicsDB was first released in 2014 to enable the interactive exploration of the first draft of the human proteome. To date, it contains quantitative data from 78 projects totalling over 19k LC-MS/MS experiments. A standardized analysis pipeline enables comparisons between multiple datasets to facilitate the exploration of protein expression across hundreds of tissues, body fluids and cell lines. We recently extended the data model to enable the storage and integrated visualization of other quantitative omics data. This includes transcriptomics data from e. g. NCBI GEO, protein-protein interaction information from STRING, functional annotations from KEGG, drug-sensitivity/selectivity data from several public sources and reference mass spectra from the ProteomeTools project. The extended functionality transforms ProteomicsDB into a multi-purpose resource connecting quantification and meta-data for each protein. The rich user interface helps researchers to navigate all data sources in either a protein-centric or multi-protein-centric manner. Several options are available to download data manually, while our application programming interface enables accessing quantitative data systematically.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12788}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Proteomics","Life Science","Transcriptomics"],"domains":["Mass spectrum","Molecular interaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1095,"pubmed_id":24870543,"title":"Mass-spectrometry-based draft of the human proteome.","year":2014,"url":"http://doi.org/10.1038/nature13319","authors":"Wilhelm M,Schlegl J,Hahne H,Gholami AM,Lieberenz M,Savitski MM,Ziegler E,Butzmann L,Gessulat S,Marx H,Mathieson T,Lemeer S,Schnatbaum K,Reimer U,Wenschuh H,Mollenhauer M,Slotta-Huspenina J,Boese JH,Bantscheff M,Gerstmair A,Faerber F,Kuster B","journal":"Nature","doi":"10.1038/nature13319","created_at":"2021-09-30T08:24:21.245Z","updated_at":"2021-09-30T08:24:21.245Z"}],"licence_links":[],"grants":[{"id":2783,"fairsharing_record_id":2518,"organisation_id":2720,"relation":"maintains","created_at":"2021-09-30T09:25:56.098Z","updated_at":"2021-09-30T09:25:56.098Z","grant_id":null,"is_lead":false,"saved_state":{"id":2720,"name":"Technical University of Munich","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2504","type":"fairsharing_records","attributes":{"created_at":"2017-08-07T13:56:30.000Z","updated_at":"2023-12-15T10:30:35.854Z","metadata":{"doi":"10.25504/FAIRsharing.hm1mfg","name":"Archaeology Data Service","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"help@archaeologydataservice.ac.uk"}],"homepage":"http://archaeologydataservice.ac.uk/about.xhtml","identifier":2504,"description":"The Archaeology Data Service (ADS) supports research, learning and teaching with freely available, high quality and dependable digital resources. The ADS promotes good practice in the use of digital data in archaeology, it provides technical advice to the research community, and supports the deployment of digital technologies.","abbreviation":"ADS","data_curation":{"type":"none"},"support_links":[{"url":"https://archaeologydataservice.ac.uk/about/help.xhtml","name":"ADS FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/ADS_Update","name":"Twitter","type":"Twitter"}],"year_creation":1996,"data_versioning":"no","associated_tools":[{"url":"http://archaeologydataservice.ac.uk/archsearch/basic.xhtml","name":"ArchSearch"},{"url":"https://archaeologydataservice.ac.uk/archive/","name":"ADS Archives"},{"url":"https://archaeologydataservice.ac.uk/library/","name":"ADS LIbrary"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100000006","name":"re3data:r3d100000006","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://archaeologydataservice.ac.uk/deposit-data/","type":"controlled","notes":"Payment is required to deposit data"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000986","bsg-d000986"],"name":"FAIRsharing record for: Archaeology Data Service","abbreviation":"ADS","url":"https://fairsharing.org/10.25504/FAIRsharing.hm1mfg","doi":"10.25504/FAIRsharing.hm1mfg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Archaeology Data Service (ADS) supports research, learning and teaching with freely available, high quality and dependable digital resources. The ADS promotes good practice in the use of digital data in archaeology, it provides technical advice to the research community, and supports the deployment of digital technologies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Archaeology","Humanities","Prehistory","Natural Science","History"],"domains":["Marine environment"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"ADS Terms of Use and Access","licence_id":12,"licence_url":"https://archaeologydataservice.ac.uk/advice/termsOfUseAndAccess.xhtml","link_id":982,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":979,"relation":"undefined"}],"grants":[{"id":2738,"fairsharing_record_id":2504,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:54.232Z","updated_at":"2021-09-30T09:25:54.232Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2741,"fairsharing_record_id":2504,"organisation_id":117,"relation":"funds","created_at":"2021-09-30T09:25:54.350Z","updated_at":"2021-09-30T09:25:54.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":117,"name":"Arts and Humanities Research Council, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2736,"fairsharing_record_id":2504,"organisation_id":3154,"relation":"maintains","created_at":"2021-09-30T09:25:54.171Z","updated_at":"2021-09-30T09:25:54.171Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2737,"fairsharing_record_id":2504,"organisation_id":3154,"relation":"funds","created_at":"2021-09-30T09:25:54.195Z","updated_at":"2021-09-30T09:25:54.195Z","grant_id":null,"is_lead":false,"saved_state":{"id":3154,"name":"University of York, UK","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2739,"fairsharing_record_id":2504,"organisation_id":1252,"relation":"funds","created_at":"2021-09-30T09:25:54.275Z","updated_at":"2021-09-30T09:25:54.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":1252,"name":"Historic Environment Scotland","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2740,"fairsharing_record_id":2504,"organisation_id":1761,"relation":"funds","created_at":"2021-09-30T09:25:54.313Z","updated_at":"2021-09-30T09:25:54.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1761,"name":"Marine Environmental Data and Information Network","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2742,"fairsharing_record_id":2504,"organisation_id":1251,"relation":"funds","created_at":"2021-09-30T09:25:54.392Z","updated_at":"2021-09-30T09:25:54.392Z","grant_id":null,"is_lead":false,"saved_state":{"id":1251,"name":"Historic England, UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2505","type":"fairsharing_records","attributes":{"created_at":"2017-08-10T14:57:26.000Z","updated_at":"2024-01-24T06:56:53.904Z","metadata":{"doi":"10.25504/FAIRsharing.w55kwn","name":"DANS-EASY Electronic Archiving System","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"info@dans.knaw.nl"}],"homepage":"https://easy.dans.knaw.nl/ui/home","citations":[],"identifier":2505,"description":"EASY is the online archiving system of Data Archiving and Networked Services (DANS). EASY provides access to thousands of datasets in the humanities, the social sciences and other disciplines. EASY can also be used for the online depositing of research data. DANS encourages researchers to make there digital research data and related outputs Findable, Accessible, Interoperable and Reusable.","abbreviation":"EASY","data_curation":{"type":"not found"},"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010214","name":"re3data:r3d100010214","portal":"re3data"}],"deprecation_date":"2024-01-24","deprecation_reason":"Data Archiving and Networked Services (DANS), part of the Royal Netherlands Academy of Arts and Sciences (KNAW), is abandoning its generic repository EASY, that has now been replaced by four thematic Data Stations:\n- DANS Data Station Archaeology: https://archaeology.datastations.nl\n- DANS Data Station Social Sciences and Humanities: https://ssh.datastations.nl/\n- DANS Data Station Life Sciences: https://lifesciences.datastations.nl\n- DANS Data Station Physical \u0026 Technical Sciences: https://phys-techsciences.datastations.nl","data_access_condition":{"url":"https://easy.dans.knaw.nl/ui/browse;jsessionid=CC70F3B0771961F366BB4C113DBE5A02","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://easy.dans.knaw.nl/ui/deposit;jsessionid=CC70F3B0771961F366BB4C113DBE5A02?wicket:interface=:5::::","type":"controlled","notes":"A login account is required."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000987","bsg-d000987"],"name":"FAIRsharing record for: DANS-EASY Electronic Archiving System","abbreviation":"EASY","url":"https://fairsharing.org/10.25504/FAIRsharing.w55kwn","doi":"10.25504/FAIRsharing.w55kwn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EASY is the online archiving system of Data Archiving and Networked Services (DANS). EASY provides access to thousands of datasets in the humanities, the social sciences and other disciplines. EASY can also be used for the online depositing of research data. DANS encourages researchers to make there digital research data and related outputs Findable, Accessible, Interoperable and Reusable.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Archaeology","Humanities","Social Science","Earth Science","Life Science","Social and Behavioural Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[],"grants":[{"id":2744,"fairsharing_record_id":2505,"organisation_id":2130,"relation":"funds","created_at":"2021-09-30T09:25:54.475Z","updated_at":"2021-09-30T09:25:54.475Z","grant_id":null,"is_lead":false,"saved_state":{"id":2130,"name":"Netherlands Organisation for Scientific Research (NWO), Amsterdam, Netherlands","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2743,"fairsharing_record_id":2505,"organisation_id":2464,"relation":"maintains","created_at":"2021-09-30T09:25:54.432Z","updated_at":"2021-09-30T09:25:54.432Z","grant_id":null,"is_lead":false,"saved_state":{"id":2464,"name":"Royal Netherlands Academy of Arts and Sciences","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2542","type":"fairsharing_records","attributes":{"created_at":"2018-01-23T21:04:57.000Z","updated_at":"2023-12-15T10:27:36.155Z","metadata":{"doi":"10.25504/FAIRsharing.kwzydf","name":"Borealis","status":"ready","contacts":[{"contact_name":"Kaitlin Newson","contact_email":"dataverse@scholarsportal.info","contact_orcid":"0000-0001-8739-5823"}],"homepage":"https://borealisdata.ca/","citations":[],"identifier":2542,"description":"Borealis, the Canadian Dataverse Repository, is a bilingual, multidisciplinary, secure, Canadian research data repository, supported by academic libraries and research institutions across Canada. Borealis supports open discovery, management, sharing, and preservation of Canadian research data. Please note this resource used to be called the Scholars Portal Dataverse.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/BorealisData","name":"@BorealisData","type":"Twitter"},{"url":"https://learn.scholarsportal.info/all-guides/borealis/","name":"User Guide","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/scholarsportal/Dataverse-Data-Curation-Tool","name":"Data Curation Tool"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010691","name":"re3data:r3d100010691","portal":"re3data"}],"data_access_condition":{"url":"https://learn.scholarsportal.info/all-guides/borealis/criteria-for-depositing-data/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://borealisdata.ca/preservationplan/","name":"Borealis Preservation Plan"},"data_deposition_condition":{"url":"https://learn.scholarsportal.info/all-guides/borealis/criteria-for-depositing-data/","type":"controlled","notes":"Deposition for Canadian researchers only"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001025","bsg-d001025"],"name":"FAIRsharing record for: Borealis","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.kwzydf","doi":"10.25504/FAIRsharing.kwzydf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Borealis, the Canadian Dataverse Repository, is a bilingual, multidisciplinary, secure, Canadian research data repository, supported by academic libraries and research institutions across Canada. Borealis supports open discovery, management, sharing, and preservation of Canadian research data. Please note this resource used to be called the Scholars Portal Dataverse.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Experimental measurement","Protocol","Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3113,"relation":"applies_to_content"}],"grants":[{"id":2847,"fairsharing_record_id":2542,"organisation_id":2348,"relation":"funds","created_at":"2021-09-30T09:25:58.406Z","updated_at":"2021-09-30T09:25:58.406Z","grant_id":null,"is_lead":false,"saved_state":{"id":2348,"name":"Portage Network","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2848,"fairsharing_record_id":2542,"organisation_id":364,"relation":"funds","created_at":"2021-09-30T09:25:58.436Z","updated_at":"2021-09-30T09:25:58.436Z","grant_id":null,"is_lead":false,"saved_state":{"id":364,"name":"CANARIE Network Enabled Platforms Program","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2849,"fairsharing_record_id":2542,"organisation_id":2244,"relation":"maintains","created_at":"2021-09-30T09:25:58.478Z","updated_at":"2021-09-30T09:25:58.478Z","grant_id":null,"is_lead":true,"saved_state":{"id":2244,"name":"Ontario Council of University Libraries","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbUlDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--3807defc12587b0973cb6c06607c3f5ec539606b/homepage-logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2543","type":"fairsharing_records","attributes":{"created_at":"2017-11-30T12:31:45.000Z","updated_at":"2023-12-15T10:32:27.729Z","metadata":{"doi":"10.25504/FAIRsharing.hren8w","name":"American Society of Testing and Materials - Standards Repository","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"service@astm.org"}],"homepage":"https://www.astm.org/Standard/standards-and-publications.html","citations":[],"identifier":2543,"description":"The American Society of Testing and Materials - Standards (ASTM Standards) provides an online repository of all ASTM standards, which are used worldwide to improve product quality, enhance safety and facilitate trade. These standards are accessible via a subscription model or can be individually purchased.","abbreviation":"ASTM Standards","data_curation":{"type":"none"},"support_links":[{"url":"https://www.astm.org/CONTACT/index.html","name":"ASTM Contact Form","type":"Contact form"},{"url":"http://www.youtube.com/ASTMIntl","name":"YouTube Channel","type":"Video"},{"url":"https://www.astm.org/RSS/index.html","name":"RSS Feed Information","type":"Blog/News"},{"url":"https://twitter.com/ASTMIntl","name":"@ASTMIntl","type":"Twitter"}],"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010409","name":"re3data:r3d100010409","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001026","bsg-d001026"],"name":"FAIRsharing record for: American Society of Testing and Materials - Standards Repository","abbreviation":"ASTM Standards","url":"https://fairsharing.org/10.25504/FAIRsharing.hren8w","doi":"10.25504/FAIRsharing.hren8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The American Society of Testing and Materials - Standards (ASTM Standards) provides an online repository of all ASTM standards, which are used worldwide to improve product quality, enhance safety and facilitate trade. These standards are accessible via a subscription model or can be individually purchased.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Engineering Science","Data Governance","Materials Science"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"ASTM International Copyright and Permissions","licence_id":976,"licence_url":"https://www.astm.org/copyright-and-permissions","link_id":2820,"relation":"applies_to_content"}],"grants":[{"id":2850,"fairsharing_record_id":2543,"organisation_id":89,"relation":"maintains","created_at":"2021-09-30T09:25:58.529Z","updated_at":"2021-09-30T09:25:58.529Z","grant_id":null,"is_lead":false,"saved_state":{"id":89,"name":"American Society of Testing and Materials (ASTM) International, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2544","type":"fairsharing_records","attributes":{"created_at":"2018-01-02T16:32:17.000Z","updated_at":"2023-12-15T10:30:37.394Z","metadata":{"doi":"10.25504/FAIRsharing.j3y6a0","name":"Patient-Derived tumor Xenograft Finder","status":"ready","contacts":[{"contact_name":"Zinaida Perova","contact_email":"zina@ebi.ac.uk"}],"homepage":"http://www.pdxfinder.org","citations":[{"doi":"10.1093/nar/gky984","pubmed_id":30535239,"publication_id":2773}],"identifier":2544,"description":"PDX Finder is an open repository for the upload and storage of clinical, genomic and functional Patient-Derived Xenograph (PDX) data which provides a comprehensive global catalogue of PDX models available for researchers across distributed repository databases. Integrated views are provided for histopathological image data, molecular classification of tumors, host mouse strain metadata, tumor genomic data and metrics on tumor response to chemotherapeutics. The data model for PDX Finder is based on the minimal information standard for PDX models developed in collaboration with a broad range of stakeholders who create and/or use PDX models in basic and pre-clinical cancer research.","abbreviation":"PDX Finder","data_curation":{"type":"manual"},"support_links":[{"url":"helpdesk@pdxfinder.org","name":"Helpdesk contact","type":"Support email"},{"url":"http://www.pdxfinder.org/about/","name":"Objectives","type":"Help documentation"},{"url":"http://www.pdxfinder.org/about/data-available-dashboard/","name":"Data Summary","type":"Help documentation"},{"url":"http://www.pdxfinder.org/pdx-data-submission-integration-and-distribution/","name":"Data Flow","type":"Help documentation"},{"url":"https://twitter.com/PDXFinder","name":"@PDXFinder","type":"Twitter"}],"year_creation":2017,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012961","name":"re3data:r3d100012961","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.cancermodels.org/submit","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001027","bsg-d001027"],"name":"FAIRsharing record for: Patient-Derived tumor Xenograft Finder","abbreviation":"PDX Finder","url":"https://fairsharing.org/10.25504/FAIRsharing.j3y6a0","doi":"10.25504/FAIRsharing.j3y6a0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: PDX Finder is an open repository for the upload and storage of clinical, genomic and functional Patient-Derived Xenograph (PDX) data which provides a comprehensive global catalogue of PDX models available for researchers across distributed repository databases. Integrated views are provided for histopathological image data, molecular classification of tumors, host mouse strain metadata, tumor genomic data and metrics on tumor response to chemotherapeutics. The data model for PDX Finder is based on the minimal information standard for PDX models developed in collaboration with a broad range of stakeholders who create and/or use PDX models in basic and pre-clinical cancer research.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12796}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genetics","Translational Medicine","Preclinical Studies"],"domains":["Model organism","Cancer","Tumor","Patient care","Histology","Disease"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":["Patient derived xenograft PDX"],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom","United States"],"publications":[{"id":2773,"pubmed_id":30535239,"title":"PDX Finder: A portal for patient-derived tumor xenograft model discovery.","year":2018,"url":"http://doi.org/10.1093/nar/gky984","authors":"Conte N,Mason JC,Halmagyi C,Neuhauser S,Mosaku A,Yordanova G,Chatzipli A,Begley DA,Krupke DM,Parkinson H,Meehan TF,Bult CC","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky984","created_at":"2021-09-30T08:27:40.878Z","updated_at":"2021-09-30T11:29:43.770Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":2304,"relation":"undefined"},{"licence_name":"EMBL-EBI Terms of Use","licence_id":273,"licence_url":"http://www.ebi.ac.uk/about/terms-of-use","link_id":2302,"relation":"undefined"},{"licence_name":"The Jackson Laboratory Terms of Use","licence_id":785,"licence_url":"https://www.jax.org/terms-of-use","link_id":2303,"relation":"undefined"}],"grants":[{"id":8297,"fairsharing_record_id":2544,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:31:58.132Z","updated_at":"2021-09-30T09:31:58.186Z","grant_id":1410,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"U24 CA253529 01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2851,"fairsharing_record_id":2544,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:25:58.570Z","updated_at":"2021-09-30T09:25:58.570Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2852,"fairsharing_record_id":2544,"organisation_id":2792,"relation":"maintains","created_at":"2021-09-30T09:25:58.612Z","updated_at":"2021-09-30T09:25:58.612Z","grant_id":null,"is_lead":true,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2853,"fairsharing_record_id":2544,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:25:58.650Z","updated_at":"2021-09-30T09:29:31.462Z","grant_id":283,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"U24 CA204781 01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8043,"fairsharing_record_id":2544,"organisation_id":1954,"relation":"funds","created_at":"2021-09-30T09:30:36.838Z","updated_at":"2021-09-30T09:30:36.888Z","grant_id":790,"is_lead":false,"saved_state":{"id":1954,"name":"National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, USA","grant":"R01 CA089713","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2545","type":"fairsharing_records","attributes":{"created_at":"2017-11-30T12:59:46.000Z","updated_at":"2023-12-15T10:30:23.065Z","metadata":{"doi":"10.25504/FAIRsharing.khqejc","name":"ThermoML Archive","status":"ready","contacts":[{"contact_name":"Kenneth Kroenlein","contact_email":"kenneth.kroenlein@nist.gov"}],"homepage":"https://www.nist.gov/mml/acmd/trc/thermoml/thermoml-archive","identifier":2545,"description":"The ThermoML Archive is a storage facility of experimental thermophysical and thermochemical property data. The repository was created through the cooperation between the Thermodynamics Research Center (TRC), NIST and: Journal of Chemical and Engineering Data (JCED), Journal of Chemical Thermodynamics, Fluid Phase Equilibria, Thermochimica Acta, and the International Journal of Thermophysics. The ThermoML files corresponding to articles in the journals are available with permission of the journal publishers.","abbreviation":"ThermoML Archive","data_curation":{"url":"https://www.nist.gov/mml/acmd/trc","type":"manual"},"support_links":[{"url":"https://trc.nist.gov/RSS/","name":"RSS Feeds by Journal","type":"Blog/News"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001028","bsg-d001028"],"name":"FAIRsharing record for: ThermoML Archive","abbreviation":"ThermoML Archive","url":"https://fairsharing.org/10.25504/FAIRsharing.khqejc","doi":"10.25504/FAIRsharing.khqejc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ThermoML Archive is a storage facility of experimental thermophysical and thermochemical property data. The repository was created through the cooperation between the Thermodynamics Research Center (TRC), NIST and: Journal of Chemical and Engineering Data (JCED), Journal of Chemical Thermodynamics, Fluid Phase Equilibria, Thermochimica Acta, and the International Journal of Thermophysics. The ThermoML files corresponding to articles in the journals are available with permission of the journal publishers.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11795}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Thermodynamics","Chemistry","Chemical Engineering"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2854,"fairsharing_record_id":2545,"organisation_id":2824,"relation":"maintains","created_at":"2021-09-30T09:25:58.683Z","updated_at":"2021-09-30T09:25:58.683Z","grant_id":null,"is_lead":true,"saved_state":{"id":2824,"name":"Thermodynamics Research Center (TRC), National Institute of Standards and Technology (NIST)","types":["Government body"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2529","type":"fairsharing_records","attributes":{"created_at":"2017-10-19T05:00:53.000Z","updated_at":"2023-12-15T10:29:16.669Z","metadata":{"doi":"10.25504/FAIRsharing.64mr5a","name":"NASA GeneLab","status":"in_development","contacts":[{"contact_name":"Sylvain Costes","contact_email":"sylvain.v.costes@nasa.gov","contact_orcid":"0000-0002-8542-2389"}],"homepage":"https://genelab.nasa.gov/","citations":[{"doi":"10.1093/nar/gkaa887","pubmed_id":33080015,"publication_id":195}],"identifier":2529,"description":"NASA GeneLab expands scientists’ access to experiments that explore the molecular response of terrestrial biology to spaceflight environments. The vast amounts of raw data generated by experiments aboard the International Space Station are being made available to a worldwide community of scientists and computational researchers.","abbreviation":"genelab","data_curation":{"type":"manual"},"support_links":[{"url":"https://genelab.nasa.gov/faq/","name":"GeneLab FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/help/GeneLab_User_Manual_2.0.pdf","name":"User Manual","type":"Help documentation"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/help/GeneLab_Submission_Guide_2.0.pdf","name":"Data Submission Guide","type":"Help documentation"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/ISA/GeneLab_Metadata_Tutorial.pdf","name":"GeneLab ISA Creator Tutorial","type":"Help documentation"},{"url":"https://genelab.nasa.gov/about/","name":"About GeneLab","type":"Help documentation"},{"url":"https://genelab-data.ndc.nasa.gov/genelab/help/Whats_New_GL.pdf","name":"What's New in GeneLab","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","associated_tools":[{"url":"http://www.genomespace.org","name":"GenomeSpace beta4"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013680","name":"re3data:r3d100013680","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_017658","name":"SciCrunch:RRID:SCR_017658","portal":"SciCrunch"}],"data_access_condition":{"url":"https://osdr.nasa.gov/bio/help/terms.html","type":"open","notes":"All data in the Open Science Data Repository continues to be accessible to all users without user authentications."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://osdr.nasa.gov/bio/help/faq.html#2.0","type":"open","notes":"Research Data Submission Agreement"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001012","bsg-d001012"],"name":"FAIRsharing record for: NASA GeneLab","abbreviation":"genelab","url":"https://fairsharing.org/10.25504/FAIRsharing.64mr5a","doi":"10.25504/FAIRsharing.64mr5a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NASA GeneLab expands scientists’ access to experiments that explore the molecular response of terrestrial biology to spaceflight environments. The vast amounts of raw data generated by experiments aboard the International Space Station are being made available to a worldwide community of scientists and computational researchers.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12793}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Metagenomics","Genomics","Epigenetics","Proteomics","Life Science","Metabolomics","Transcriptomics","Systems Biology"],"domains":["Omics data analysis"],"taxonomies":["Acinetobacter pittii","Arabidopsis thaliana","Aspergillus fumigatus","Aspergillus niger","Aspergillus terreus","Aureobasidium pullulans","Bacillus","Bacillus subtilis","Beauveria bassiana","Brassica rapa","Caenorhabditis elegans","Candida albicans","Ceratopteris richardii","Cladosporium cladosporioides","Cladosporium sphaerospermum","Danio rerio","Daphnia magna","Drosophila melanogaster","Enterobacter","Enterobacteria phage lambda","environmental samples","Escherichia coli","Euprymna scolopes","Fusarium solani","Homo sapiens","Klebsiella","Microbiota","Mus musculus","Mycobacterium marinum","Oryzias latipes","Pantoea conspicua","Pseudomonas aeruginosa","Rattus norvegicus","Rhodospirillum rubrum","Saccharomyces cerevisiae","Staphylococcus","Staphylococcus aureus","Streptococcus mutans","Trichoderma virens"],"user_defined_tags":["Multi-omics"],"countries":["United States"],"publications":[{"id":185,"pubmed_id":30815061,"title":"FAIRness and Usability for Open-access Omics Data Systems.","year":2019,"url":"https://www.ncbi.nlm.nih.gov/pubmed/30815061","authors":"Berrios DC,Beheshti A,Costes SV","journal":"AMIA Annu Symp Proc","doi":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371294/","created_at":"2021-09-30T08:22:40.272Z","updated_at":"2021-09-30T08:22:40.272Z"},{"id":195,"pubmed_id":33080015,"title":"NASA GeneLab: interfaces for the exploration of space omics data.","year":2020,"url":"http://doi.org/10.1093/nar/gkaa887","authors":"Berrios DC,Galazka J,Grigorev K,Gebre S,Costes SV","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa887","created_at":"2021-09-30T08:22:41.345Z","updated_at":"2021-09-30T11:28:43.941Z"}],"licence_links":[],"grants":[{"id":2807,"fairsharing_record_id":2529,"organisation_id":1934,"relation":"maintains","created_at":"2021-09-30T09:25:56.903Z","updated_at":"2021-09-30T09:25:56.903Z","grant_id":null,"is_lead":true,"saved_state":{"id":1934,"name":"NASA Ames Research Center, CA, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2806,"fairsharing_record_id":2529,"organisation_id":1935,"relation":"funds","created_at":"2021-09-30T09:25:56.861Z","updated_at":"2021-09-30T09:25:56.861Z","grant_id":null,"is_lead":false,"saved_state":{"id":1935,"name":"NASA Biological and Physical Sciences Division","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2549","type":"fairsharing_records","attributes":{"created_at":"2018-01-05T15:13:50.000Z","updated_at":"2023-06-23T14:46:32.550Z","metadata":{"doi":"10.25504/FAIRsharing.qtm44s","name":"UK Data Archive","status":"ready","contacts":[{"contact_name":"Contact email","contact_email":"info@data-archive.ac.uk"}],"homepage":"http://www.data-archive.ac.uk","identifier":2549,"description":"The UK Data Archive is an internationally acknowledged centre of expertise in acquiring, curating and providing access to social science and humanities data. We were founded in 1967, at the University of Essex, with the support of the then Social Science Research Council, with the aim of curating high-quality research data for analysis and reuse. The Economic and Social Research Council (ESRC) has continued to provide long-term commitment to the Data Archive and we are now a significant part of their UK data infrastructure. Since 2005 we have been designated a Place of Deposit by the National Archives, allowing us to curate public records. The UK Data Archive is the lead organisation of the UK Data Service, which provides unified access to the UK's largest collection of social, economic and population data. Funded by the ESRC, the UK Data Service provides access to regional, national and international social and economic data, support for policy-relevant research and guidance and training for the development of skills in data use.","abbreviation":"UKDA","data_curation":{"url":"https://www.data-archive.ac.uk/managing-data/digital-curation-and-data-publishing/curation-process/","type":"manual/automated"},"support_links":[{"url":"http://www.data-archive.ac.uk/curate","name":"Curation guide","type":"Help documentation"}],"year_creation":1967,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010215","name":"re3data:r3d100010215","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014708","name":"SciCrunch:RRID:SCR_014708","portal":"SciCrunch"}],"data_access_condition":{"url":"Free registration is required.","type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.data-archive.ac.uk/deposit/","type":"open","notes":"All offers and deposits of data to be curated at the UK Data Archive are managed through the UK Data Service."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001032","bsg-d001032"],"name":"FAIRsharing record for: UK Data Archive","abbreviation":"UKDA","url":"https://fairsharing.org/10.25504/FAIRsharing.qtm44s","doi":"10.25504/FAIRsharing.qtm44s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UK Data Archive is an internationally acknowledged centre of expertise in acquiring, curating and providing access to social science and humanities data. We were founded in 1967, at the University of Essex, with the support of the then Social Science Research Council, with the aim of curating high-quality research data for analysis and reuse. The Economic and Social Research Council (ESRC) has continued to provide long-term commitment to the Data Archive and we are now a significant part of their UK data infrastructure. Since 2005 we have been designated a Place of Deposit by the National Archives, allowing us to curate public records. The UK Data Archive is the lead organisation of the UK Data Service, which provides unified access to the UK's largest collection of social, economic and population data. Funded by the ESRC, the UK Data Service provides access to regional, national and international social and economic data, support for policy-relevant research and guidance and training for the development of skills in data use.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Humanities","Social Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[],"grants":[{"id":2861,"fairsharing_record_id":2549,"organisation_id":2090,"relation":"funds","created_at":"2021-09-30T09:25:58.971Z","updated_at":"2021-09-30T09:25:58.971Z","grant_id":null,"is_lead":false,"saved_state":{"id":2090,"name":"Natural Environment Research Council (NERC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2864,"fairsharing_record_id":2549,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:25:59.083Z","updated_at":"2021-09-30T09:25:59.083Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2866,"fairsharing_record_id":2549,"organisation_id":822,"relation":"funds","created_at":"2021-09-30T09:25:59.162Z","updated_at":"2021-09-30T09:25:59.162Z","grant_id":null,"is_lead":false,"saved_state":{"id":822,"name":"Economic and Social Research Council, UK","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2860,"fairsharing_record_id":2549,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:58.913Z","updated_at":"2021-09-30T09:25:58.913Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2862,"fairsharing_record_id":2549,"organisation_id":1600,"relation":"funds","created_at":"2021-09-30T09:25:59.012Z","updated_at":"2021-09-30T09:25:59.012Z","grant_id":null,"is_lead":false,"saved_state":{"id":1600,"name":"Jisc, Bristol, UK","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2863,"fairsharing_record_id":2549,"organisation_id":3053,"relation":"maintains","created_at":"2021-09-30T09:25:59.050Z","updated_at":"2021-09-30T09:25:59.050Z","grant_id":null,"is_lead":false,"saved_state":{"id":3053,"name":"University of Essex, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2865,"fairsharing_record_id":2549,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:25:59.120Z","updated_at":"2021-09-30T09:25:59.120Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2550","type":"fairsharing_records","attributes":{"created_at":"2018-01-25T18:23:37.000Z","updated_at":"2024-04-08T10:34:35.640Z","metadata":{"doi":"10.25504/FAIRsharing.brrt0b","name":"Datasets2Tools","status":"ready","contacts":[{"contact_name":"Avi Ma'ayan","contact_email":"avi.maayan@mssm.edu","contact_orcid":"0000-0002-6904-1017"}],"homepage":"https://maayanlab.cloud/datasets2tools","citations":[],"identifier":2550,"description":"Biomedical data repositories such as the Gene Expression Omnibus (GEO) enable the search and discovery of relevant biomedical digital data objects. Similarly, resources such as OMICtools index bioinformatics tools that can extract knowledge from these digital data objects. However, systematic access to pre-generated “canned\" analyses applied by bioinformatics tools to biomedical digital data objects is currently not available. Datasets2Tools is a repository indexing 31,473 canned bioinformatics analyses applied to 6,431 datasets. The Datasets2Tools repository also contains the indexing of 4,901 published bioinformatics software tools, and all the analyzed datasets. Datasets2Tools enables users to rapidly find datasets, tools, and canned analyses through an intuitive web interface, a Google Chrome extension, and an API. Furthermore, Datasets2Tools provides a platform for contributing canned analyses, datasets, and tools, as well as evaluating these digital objects according to their compliance with the findable, accessible, interoperable, and reusable (FAIR) principles. By incorporating community engagement, Datasets2Tools promotes sharing of digital resources to stimulate the extraction of knowledge from biomedical research data.","abbreviation":"D2T","data_curation":{"url":"https://maayanlab.cloud/datasets2tools/help","type":"manual","notes":"Curation done by the user"},"support_links":[{"url":"https://maayanlab.cloud/datasets2tools/help","name":"","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","associated_tools":[{"url":"https://maayanlab.cloud/Enrichr/","name":"Enrichr 1.0"},{"url":"https://maayanlab.cloud/g2e/","name":"GEO2Enrichr 1.0"},{"url":"https://maayanlab.cloud/archs4/","name":"ARCHS4 1.0"}],"data_access_condition":{"url":"https://maayanlab.cloud/datasets2tools/help","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://maayanlab.cloud/datasets2tools/help","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001033","bsg-d001033"],"name":"FAIRsharing record for: Datasets2Tools","abbreviation":"D2T","url":"https://fairsharing.org/10.25504/FAIRsharing.brrt0b","doi":"10.25504/FAIRsharing.brrt0b","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Biomedical data repositories such as the Gene Expression Omnibus (GEO) enable the search and discovery of relevant biomedical digital data objects. Similarly, resources such as OMICtools index bioinformatics tools that can extract knowledge from these digital data objects. However, systematic access to pre-generated “canned\" analyses applied by bioinformatics tools to biomedical digital data objects is currently not available. Datasets2Tools is a repository indexing 31,473 canned bioinformatics analyses applied to 6,431 datasets. The Datasets2Tools repository also contains the indexing of 4,901 published bioinformatics software tools, and all the analyzed datasets. Datasets2Tools enables users to rapidly find datasets, tools, and canned analyses through an intuitive web interface, a Google Chrome extension, and an API. Furthermore, Datasets2Tools provides a platform for contributing canned analyses, datasets, and tools, as well as evaluating these digital objects according to their compliance with the findable, accessible, interoperable, and reusable (FAIR) principles. By incorporating community engagement, Datasets2Tools promotes sharing of digital resources to stimulate the extraction of knowledge from biomedical research data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics"],"domains":["Analysis","Software","FAIR"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":602,"relation":"undefined"}],"grants":[{"id":2867,"fairsharing_record_id":2550,"organisation_id":1304,"relation":"maintains","created_at":"2021-09-30T09:25:59.200Z","updated_at":"2021-09-30T09:25:59.200Z","grant_id":null,"is_lead":false,"saved_state":{"id":1304,"name":"Icahn School of Medicine at Mount Sinai","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11535,"fairsharing_record_id":2550,"organisation_id":3555,"relation":"funds","created_at":"2024-03-21T13:58:09.535Z","updated_at":"2024-03-21T13:58:09.785Z","grant_id":1679,"is_lead":false,"saved_state":{"id":3555,"name":"NIH Common Fund","grant":"U54HL127624","types":["Government body","Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2552","type":"fairsharing_records","attributes":{"created_at":"2018-02-13T16:03:33.000Z","updated_at":"2023-12-15T10:32:40.999Z","metadata":{"doi":"10.25504/FAIRsharing.8gzcwa","name":"UniCarb-DB","status":"ready","contacts":[{"contact_name":"Niclas Karlsson","contact_email":"niclas.karlsson@medkem.gu.se","contact_orcid":"0000-0002-3045-2628"}],"homepage":"https://unicarb-db.expasy.org/","citations":[{"doi":"10.1016/j.bbapap.2013.04.018","pubmed_id":23624262,"publication_id":2188}],"identifier":2552,"description":"UniCarb-DB is a curated database of glycomic mass spectrometry fragment data.","abbreviation":"UniCarb-DB","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/NG_Karlsson","name":"@NG_Karlsson","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://unicarb-db.expasy.org/about","type":"open","notes":"There is no online form to submit data, but potential contributors are welcome and should contact the database."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001035","bsg-d001035"],"name":"FAIRsharing record for: UniCarb-DB","abbreviation":"UniCarb-DB","url":"https://fairsharing.org/10.25504/FAIRsharing.8gzcwa","doi":"10.25504/FAIRsharing.8gzcwa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniCarb-DB is a curated database of glycomic mass spectrometry fragment data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Health Science","Glycomics","Biomedical Science"],"domains":["Mass spectrum"],"taxonomies":["All"],"user_defined_tags":["Glycome"],"countries":["Australia","Germany","Ireland","Japan","Sweden","Switzerland"],"publications":[{"id":2188,"pubmed_id":23624262,"title":"Validation of the curation pipeline of UniCarb-DB: building a global glycan reference MS/MS repository.","year":2013,"url":"http://doi.org/10.1016/j.bbapap.2013.04.018","authors":"Campbell MP,Nguyen-Khuong T,Hayes CA,Flowers SA,Alagesan K,Kolarich D,Packer NH,Karlsson NG","journal":"Biochim Biophys Acta","doi":"10.1016/j.bbapap.2013.04.018","created_at":"2021-09-30T08:26:26.671Z","updated_at":"2021-09-30T08:26:26.671Z"},{"id":2532,"pubmed_id":27743371,"title":"Databases and Associated Tools for Glycomics and Glycoproteomics.","year":2016,"url":"http://doi.org/10.1007/978-1-4939-6493-2_18","authors":"Lisacek F,Mariethoz J,Alocci D,Rudd PM,Abrahams JL,Campbell MP,Packer NH,Stahle J,Widmalm G,Mullen E,Adamczyk B,Rojas-Macias MA,Jin C,Karlsson NG","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6493-2_18","created_at":"2021-09-30T08:27:10.643Z","updated_at":"2021-09-30T08:27:10.643Z"},{"id":2795,"pubmed_id":21398669,"title":"UniCarb-DB: a database resource for glycomic discovery.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr137","authors":"Hayes CA,Karlsson NG,Struwe WB,Lisacek F,Rudd PM,Packer NH,Campbell MP","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr137","created_at":"2021-09-30T08:27:43.662Z","updated_at":"2021-09-30T08:27:43.662Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0 )","licence_id":178,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0","link_id":205,"relation":"undefined"}],"grants":[{"id":2873,"fairsharing_record_id":2552,"organisation_id":3058,"relation":"maintains","created_at":"2021-09-30T09:25:59.399Z","updated_at":"2021-09-30T09:25:59.399Z","grant_id":null,"is_lead":true,"saved_state":{"id":3058,"name":"University of Gothenburg","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2872,"fairsharing_record_id":2552,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:59.370Z","updated_at":"2021-09-30T09:25:59.370Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2874,"fairsharing_record_id":2552,"organisation_id":2591,"relation":"maintains","created_at":"2021-09-30T09:25:59.423Z","updated_at":"2021-09-30T09:25:59.423Z","grant_id":null,"is_lead":false,"saved_state":{"id":2591,"name":"Soka University, Tokyo, Japan","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2875,"fairsharing_record_id":2552,"organisation_id":1741,"relation":"maintains","created_at":"2021-09-30T09:25:59.454Z","updated_at":"2021-09-30T09:25:59.454Z","grant_id":null,"is_lead":false,"saved_state":{"id":1741,"name":"Macquarie University, Sydney, Australia","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2533","type":"fairsharing_records","attributes":{"created_at":"2017-11-28T21:57:54.000Z","updated_at":"2023-12-15T10:28:56.486Z","metadata":{"doi":"10.25504/FAIRsharing.8nq9t6","name":"The Network Data Exchange","status":"ready","contacts":[{"contact_name":"Rudolf T. Pillich","contact_email":"rpillich@ucsd.edu","contact_orcid":"0000-0001-8682-0568"}],"homepage":"https://www.ndexbio.org","citations":[{"doi":"10.1007/978-1-4939-6783-4_13","pubmed_id":28150243,"publication_id":1966},{"doi":"10.1016/j.cels.2015.10.001","pubmed_id":26594663,"publication_id":1969},{"doi":"10.1158/0008-5472.CAN-17-0606","pubmed_id":29092941,"publication_id":1992},{"doi":"10.1002/cpz1.258","pubmed_id":null,"publication_id":3151}],"identifier":2533,"description":"NDEx is an online commons where scientists can upload, share, and publicly distribute biological networks and pathway models. The NDEx Project maintains a web-accessible public server, a documentation website, provides seamless connectivity to Cytoscape as well as programmatic access using a variety of languages including Python and Java and R. NDEx users can easily create accounts or sign in using their Google credentials thanks to the supported open authentication (OAUTH2) method and mint DOIs for their networks to use in publications or include in other resources for long term access.","abbreviation":"NDEx","data_curation":{"type":"not found"},"support_links":[{"url":"https://home.ndexbio.org","name":"Informational Website","type":"Blog/News"},{"url":"https://home.ndexbio.org/contact-us/","name":"Contact Us","type":"Contact form"},{"url":"https://home.ndexbio.org/quick-start","name":"User manuals \u0026 Technical docs","type":"Help documentation"},{"url":"https://www.youtube.com/channel/UCc7J1020F7e25F-zWEMtM0A","name":"Youtube","type":"Video"},{"url":"https://twitter.com/NDExProject","name":"Twitter Feed","type":"Twitter"},{"url":"https://github.com/ndexbio/ndex-jupyter-notebooks","name":"NDEx Jupyter Notebook Tutorials","type":"Training documentation"},{"url":"https://home.ndexbio.org/faq/","name":"NDEx FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/ndexbio","name":"NDEx Code Repository","type":"Github"},{"url":"https://home.ndexbio.org/release-notes/","name":"NDEx Release Notes","type":"Help documentation"},{"url":"https://home.ndexbio.org/report-a-bug/","name":"Report a Bug","type":"Contact form"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://cytoscape.org/","name":"Cytoscape desktop application for network analysis"},{"url":"http://apps.cytoscape.org/apps/cyndex2","name":"CyNDEx-2 (Cytoscape Core App) "},{"url":"https://www.ndexbio.org/iquery/","name":"NDEx Integrated Query (IQuery)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012690","name":"re3data:r3d100012690","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003943","name":"SciCrunch:RRID:SCR_003943","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://home.ndexbio.org/publishing-in-ndex/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001016","bsg-d001016"],"name":"FAIRsharing record for: The Network Data Exchange","abbreviation":"NDEx","url":"https://fairsharing.org/10.25504/FAIRsharing.8nq9t6","doi":"10.25504/FAIRsharing.8nq9t6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NDEx is an online commons where scientists can upload, share, and publicly distribute biological networks and pathway models. The NDEx Project maintains a web-accessible public server, a documentation website, provides seamless connectivity to Cytoscape as well as programmatic access using a variety of languages including Python and Java and R. NDEx users can easily create accounts or sign in using their Google credentials thanks to the supported open authentication (OAUTH2) method and mint DOIs for their networks to use in publications or include in other resources for long term access.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10821},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12330},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12794}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Microbiology","Epidemiology"],"domains":["Network model","Cancer","Molecular interaction","Genetic interaction","Pathway model"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":1966,"pubmed_id":28150243,"title":"NDEx: A Community Resource for Sharing and Publishing of Biological Networks.","year":2017,"url":"http://doi.org/10.1007/978-1-4939-6783-4_13","authors":"Pillich RT,Chen J,Rynkov V,Welker D,Pratt D","journal":"Methods Mol Biol","doi":"10.1007/978-1-4939-6783-4_13","created_at":"2021-09-30T08:26:01.290Z","updated_at":"2021-09-30T08:26:01.290Z"},{"id":1969,"pubmed_id":26594663,"title":"NDEx, the Network Data Exchange.","year":2015,"url":"http://doi.org/10.1016/j.cels.2015.10.001","authors":"Pratt D,Chen J,Welker D,Rivas R,Pillich R,Rynkov V,Ono K,Miello C,Hicks L,Szalma S,Stojmirovic A,Dobrin R,Braxenthaler M,Kuentzer J,Demchak B,Ideker T","journal":"Cell Syst","doi":"10.1016/j.cels.2015.10.001","created_at":"2021-09-30T08:26:01.606Z","updated_at":"2021-09-30T08:26:01.606Z"},{"id":1992,"pubmed_id":29092941,"title":"NDEx 2.0: A Clearinghouse for Research on Cancer Pathways.","year":2017,"url":"http://doi.org/10.1158/0008-5472.CAN-17-0606","authors":"Pratt D,Chen J,Pillich R,Rynkov V,Gary A,Demchak B,Ideker T","journal":"Cancer Res","doi":"10.1158/0008-5472.CAN-17-0606","created_at":"2021-09-30T08:26:04.240Z","updated_at":"2021-09-30T08:26:04.240Z"},{"id":3151,"pubmed_id":null,"title":"NDEx: Accessing Network Models and Streamlining Network Biology Workflows","year":2021,"url":"http://dx.doi.org/10.1002/cpz1.258","authors":"Pillich, Rudolf T.; Chen, Jing; Churas, Christopher; Liu, Sophie; Ono, Keiichiro; Otasek, David; Pratt, Dexter; ","journal":"Current Protocols","doi":"10.1002/cpz1.258","created_at":"2021-12-09T19:42:28.391Z","updated_at":"2021-12-09T19:42:28.391Z"}],"licence_links":[{"licence_name":"BSD-3-Clause License (Modified BSD License) (New BSD License)","licence_id":88,"licence_url":"https://opensource.org/licenses/BSD-3-Clause","link_id":553,"relation":"undefined"},{"licence_name":"NDEx Terms, License and Sources","licence_id":566,"licence_url":"https://www.home.ndexbio.org/disclaimer-license/","link_id":552,"relation":"undefined"}],"grants":[{"id":2817,"fairsharing_record_id":2533,"organisation_id":218,"relation":"undefined","created_at":"2021-09-30T09:25:57.266Z","updated_at":"2021-09-30T09:25:57.266Z","grant_id":null,"is_lead":false,"saved_state":{"id":218,"name":"BindingDB","types":["Lab"],"is_lead":false,"relation":"undefined"}},{"id":2819,"fairsharing_record_id":2533,"organisation_id":630,"relation":"maintains","created_at":"2021-09-30T09:25:57.345Z","updated_at":"2021-09-30T09:25:57.345Z","grant_id":null,"is_lead":false,"saved_state":{"id":630,"name":"Cytoscape","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2815,"fairsharing_record_id":2533,"organisation_id":1955,"relation":"funds","created_at":"2021-09-30T09:25:57.186Z","updated_at":"2021-09-30T09:31:59.154Z","grant_id":1417,"is_lead":false,"saved_state":{"id":1955,"name":"National Cancer Institute, Rockville, MD, USA","grant":"5U24CA184427-02","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2818,"fairsharing_record_id":2533,"organisation_id":340,"relation":"funds","created_at":"2021-09-30T09:25:57.303Z","updated_at":"2021-09-30T09:25:57.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":340,"name":"California Digital Library (CDL), University of California, Oakland, CA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2816,"fairsharing_record_id":2533,"organisation_id":1310,"relation":"maintains","created_at":"2021-09-30T09:25:57.227Z","updated_at":"2021-12-09T19:43:51.545Z","grant_id":null,"is_lead":true,"saved_state":{"id":1310,"name":"Ideker Lab, School of Medicine, UC San Diego","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2534","type":"fairsharing_records","attributes":{"created_at":"2017-11-14T14:58:18.000Z","updated_at":"2024-03-21T13:59:26.402Z","metadata":{"doi":"10.25504/FAIRsharing.d33rx4","name":"ChannelsDB","status":"ready","contacts":[{"contact_name":"Karel Berka","contact_email":"karel.berka@upol.cz","contact_orcid":"0000-0001-9472-2589"}],"homepage":"https://channelsdb.ncbr.muni.cz/","citations":[],"identifier":2534,"description":"ChannelsDB is a comprehensive and regularly updated resource of channels, pores and tunnels found in biomacromolecules deposited in the Protein Data Bank. The database contains information about channel positions, geometry and physicochemical properties.","abbreviation":null,"data_curation":{"url":"https://channelsdb.ncbr.muni.cz/documentation.html#db-content","type":"manual","notes":"Manually curated channel annotations from literature extracted entries"},"support_links":[{"url":"https://channelsdb.ncbr.muni.cz/documentation.html","name":"Documentation","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"http://mole.upol.cz/","name":"MOLE 2.5"},{"url":"https://litemol.org/","name":"Litemol"}],"data_access_condition":{"url":"https://channelsdb.ncbr.muni.cz/gdpr.html","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://channelsdb.ncbr.muni.cz/contribute.html","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001017","bsg-d001017"],"name":"FAIRsharing record for: ChannelsDB","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.d33rx4","doi":"10.25504/FAIRsharing.d33rx4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ChannelsDB is a comprehensive and regularly updated resource of channels, pores and tunnels found in biomacromolecules deposited in the Protein Data Bank. The database contains information about channel positions, geometry and physicochemical properties.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12795}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Channel","Molecular structure","Protein structure","Molecular function","Enzyme"],"taxonomies":["All"],"user_defined_tags":["Physical properties"],"countries":["Czech Republic"],"publications":[{"id":1970,"pubmed_id":29036719,"title":"ChannelsDB: database of biomacromolecular tunnels and pores.","year":2017,"url":"http://doi.org/10.1093/nar/gkx868","authors":"Pravda L,Sehnal D,Svobodova Varekova R,Navratilova V,Tousek D,Berka K,Otyepka M,Koca J","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx868","created_at":"2021-09-30T08:26:01.713Z","updated_at":"2021-09-30T11:29:25.010Z"}],"licence_links":[{"licence_name":"ChannelsDB Terms of Use","licence_id":948,"licence_url":"https://channelsdb.ncbr.muni.cz/gdpr.html","link_id":2738,"relation":"applies_to_content"}],"grants":[{"id":8136,"fairsharing_record_id":2534,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:31:09.323Z","updated_at":"2021-09-30T09:31:09.381Z","grant_id":1043,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LQ1601","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2825,"fairsharing_record_id":2534,"organisation_id":840,"relation":"funds","created_at":"2021-09-30T09:25:57.588Z","updated_at":"2021-09-30T09:25:57.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":840,"name":"ELIXIR Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2821,"fairsharing_record_id":2534,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:25:57.414Z","updated_at":"2021-09-30T09:29:06.434Z","grant_id":96,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LO1305","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2820,"fairsharing_record_id":2534,"organisation_id":1767,"relation":"maintains","created_at":"2021-09-30T09:25:57.382Z","updated_at":"2021-09-30T09:25:57.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":1767,"name":"Masaryk University (MU), Brno, Czech Republic","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2824,"fairsharing_record_id":2534,"organisation_id":2286,"relation":"funds","created_at":"2021-09-30T09:25:57.515Z","updated_at":"2021-09-30T09:30:16.221Z","grant_id":629,"is_lead":false,"saved_state":{"id":2286,"name":"Palacky University, Olomouc, Czech Republic","grant":"IGA_PrF_2017_028","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2823,"fairsharing_record_id":2534,"organisation_id":633,"relation":"funds","created_at":"2021-09-30T09:25:57.478Z","updated_at":"2021-09-30T09:32:32.764Z","grant_id":1668,"is_lead":false,"saved_state":{"id":633,"name":"Czech Science Foundation (GACR), Czech Republic","grant":"P208/12/G016","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7876,"fairsharing_record_id":2534,"organisation_id":1865,"relation":"funds","created_at":"2021-09-30T09:29:19.924Z","updated_at":"2021-09-30T09:29:19.991Z","grant_id":199,"is_lead":false,"saved_state":{"id":1865,"name":"Ministry of Education Youth and Sports (MSMT), Prague, Czech Republic","grant":"LM2015047","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10008,"fairsharing_record_id":2534,"organisation_id":841,"relation":"associated_with","created_at":"2022-10-13T09:43:38.644Z","updated_at":"2022-10-13T09:43:38.644Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"associated_with"}},{"id":11595,"fairsharing_record_id":2534,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:25.762Z","updated_at":"2024-03-21T13:59:26.300Z","grant_id":276,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","grant":"676559","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbFVCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--314f123b2260aef75b46c587e6a7b366c6832eb6/channelsdb_logo.png?disposition=inline","exhaustive_licences":false}},{"id":"2535","type":"fairsharing_records","attributes":{"created_at":"2017-11-16T11:09:44.000Z","updated_at":"2023-12-15T10:31:11.202Z","metadata":{"doi":"10.25504/FAIRsharing.y9x8wk","name":"Natural Product-Drug Interaction Research Data Repository","status":"in_development","contacts":[{"contact_name":"Richard Boyce","contact_email":"rdb20@pitt.edu","contact_orcid":"0000-0002-2993-2085"}],"homepage":"https://repo.napdi.org/","identifier":2535,"description":"The Natural Product-Drug Interaction Research Data Repository, a publicly accessible database where researchers can access scientific results, raw data, and recommended approaches to optimally assess the clinical significance of pharmacokinetic natural product-drug interactions (PK-NPDIs). The repository is funded by the United States National Center for Complementary and Integrative Health.","abbreviation":"NaPDI","data_curation":{"type":"not found"},"support_links":[{"url":"https://forums.dikb.org/c/npdi","name":"Natural product-drug interactions topic on forums.dikb.org","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001018","bsg-d001018"],"name":"FAIRsharing record for: Natural Product-Drug Interaction Research Data Repository","abbreviation":"NaPDI","url":"https://fairsharing.org/10.25504/FAIRsharing.y9x8wk","doi":"10.25504/FAIRsharing.y9x8wk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Natural Product-Drug Interaction Research Data Repository, a publicly accessible database where researchers can access scientific results, raw data, and recommended approaches to optimally assess the clinical significance of pharmacokinetic natural product-drug interactions (PK-NPDIs). The repository is funded by the United States National Center for Complementary and Integrative Health.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Pharmacology","Biomedical Science"],"domains":["Drug interaction","Natural product"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2452,"pubmed_id":29743102,"title":"Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse.","year":2018,"url":"http://doi.org/10.1186/s13326-018-0183-z","authors":"Judkins J,Tay-Sontheimer J,Boyce RD,Brochhausen M","journal":"J Biomed Semantics","doi":"10.1186/s13326-018-0183-z","created_at":"2021-09-30T08:27:00.787Z","updated_at":"2021-09-30T08:27:00.787Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)","licence_id":194,"licence_url":"https://creativecommons.org/licenses/by-sa/3.0/","link_id":892,"relation":"undefined"}],"grants":[{"id":2826,"fairsharing_record_id":2535,"organisation_id":2956,"relation":"funds","created_at":"2021-09-30T09:25:57.624Z","updated_at":"2021-09-30T09:29:52.338Z","grant_id":444,"is_lead":false,"saved_state":{"id":2956,"name":"United States National Center for Complementary and Integrative Health (NCCAM)","grant":"U54AT008909","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2538","type":"fairsharing_records","attributes":{"created_at":"2017-11-20T20:52:09.000Z","updated_at":"2022-09-08T13:35:03.656Z","metadata":{"doi":"10.25504/FAIRsharing.x6y19r","name":"Citrination","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"info@citrine.io"}],"homepage":"https://citrination.com/","citations":[],"identifier":2538,"description":"Citrination is an open database and analytics platform for material and chemical information. Registration is required to access all data, but is free for academics, researchers and other non-commercial users.","abbreviation":"Citrination","data_curation":{"type":"manual","notes":"Users add metadata to their own datasets"},"support_links":[{"url":"https://citrination.com/faq","name":"Citrination FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://help.citrination.com/","name":"Help Knowledgebase","type":"Help documentation"},{"url":"https://github.com/CitrineInformatics/learn-citrination","name":"API Tutorials","type":"Github"},{"url":"http://citrine.us3.list-manage1.com/subscribe?u=014639e57e11aa6a7d2f2e4a8\u0026id=60e6d7fee0","name":"Newsletter","type":"Mailing list"},{"url":"https://citrination.com/tos","name":"Terms of Service","type":"Help documentation"},{"url":"https://citrination.com/privacy","name":"Privacy Policy","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012077","name":"re3data:r3d100012077","portal":"re3data"}],"deprecation_date":"2022-09-08","deprecation_reason":"As of September 19th, 2022, Open Citrination is decomissioned. All public datasets will remain available for download at their existing URLs (including DOIs) after this change, without any user action required. Existing links to public datasets will allow anyone with the link to view and download. All private datasets are inaccessible after September 19th, as are machine learning, data analysis, and data visualization capabilities. Questions can be directed to support@citrination.net.","data_access_condition":{"type":"open","notes":"Requires free login"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001021","bsg-d001021"],"name":"FAIRsharing record for: Citrination","abbreviation":"Citrination","url":"https://fairsharing.org/10.25504/FAIRsharing.x6y19r","doi":"10.25504/FAIRsharing.x6y19r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Citrination is an open database and analytics platform for material and chemical information. Registration is required to access all data, but is free for academics, researchers and other non-commercial users.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11794}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Materials Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Citrination Copyright","licence_id":130,"licence_url":"https://citrination.com/dmca","link_id":932,"relation":"applies_to_content"},{"licence_name":"Citrination Data Licence","licence_id":131,"licence_url":"https://citrination.com/datamanagement","link_id":940,"relation":"applies_to_content"}],"grants":[{"id":2833,"fairsharing_record_id":2538,"organisation_id":526,"relation":"maintains","created_at":"2021-09-30T09:25:57.911Z","updated_at":"2021-09-30T09:25:57.911Z","grant_id":null,"is_lead":true,"saved_state":{"id":526,"name":"Citrine Informatics, Redwood City, CA, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBY1U9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--5702044a060d98d8712e728da6ce3cd05d990d1b/citlogo.png?disposition=inline","exhaustive_licences":false}},{"id":"2539","type":"fairsharing_records","attributes":{"created_at":"2017-11-20T21:08:22.000Z","updated_at":"2023-12-15T10:30:25.754Z","metadata":{"doi":"10.25504/FAIRsharing.b952rv","name":"NASA/IPAC Extragalactic Database","status":"ready","contacts":[{"contact_name":"Joseph M. Mazzarella","contact_email":"mazz@ipac.caltech.edu"}],"homepage":"https://ned.ipac.caltech.edu/","identifier":2539,"description":"NASA/IPAC Extragalactic Database (NED) is a comprehensive database of multiwavelength data for extragalactic objects, providing a systematic, ongoing fusion of information integrated from hundreds of large sky surveys and tens of thousands of research publications. The contents and services span the entire observed spectrum from gamma rays through radio frequencies. As new observations are published, they are cross- identified or statistically associated with previous data and integrated into a unified database to simplify queries and retrieval.","abbreviation":"NED","data_curation":{"type":"not found"},"support_links":[{"url":"https://ned.ipac.caltech.edu/contact/NED","name":"NED Contact Form","type":"Contact form"},{"url":"https://ned.ipac.caltech.edu/Documents/Guides","name":"User Guides","type":"Help documentation"},{"url":"https://www.youtube.com/watch?v=BCW6awQ2o4Q","name":"Video Overview","type":"Video"},{"url":"https://www.youtube.com/channel/UCogUNzCeGRfCr2gYi0sqbOg","name":"YouTube Channel","type":"Video"},{"url":"https://ned.ipac.caltech.edu/Documents/Overview/Release","name":"Release Notes","type":"Help documentation"},{"url":"https://ned.ipac.caltech.edu/Documents/Overview","name":"About NED","type":"Help documentation"}],"year_creation":1988,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010525","name":"re3data:r3d100010525","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001022","bsg-d001022"],"name":"FAIRsharing record for: NASA/IPAC Extragalactic Database","abbreviation":"NED","url":"https://fairsharing.org/10.25504/FAIRsharing.b952rv","doi":"10.25504/FAIRsharing.b952rv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: NASA/IPAC Extragalactic Database (NED) is a comprehensive database of multiwavelength data for extragalactic objects, providing a systematic, ongoing fusion of information integrated from hundreds of large sky surveys and tens of thousands of research publications. The contents and services span the entire observed spectrum from gamma rays through radio frequencies. As new observations are published, they are cross- identified or statistically associated with previous data and integrated into a unified database to simplify queries and retrieval.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Astrophysics and Astronomy"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Extragalactic objects"],"countries":["United States"],"publications":[{"id":2102,"pubmed_id":null,"title":"Evolution of the NASA/IPAC Extragalactic Database (NED) into a Data Mining Discovery Engine","year":2016,"url":"https://doi.org/10.1017/S1743921316013132","authors":"Mazzarella, Joseph M.; NED Team","journal":"Proceedings of the International Astronomical Union","doi":null,"created_at":"2021-09-30T08:26:16.884Z","updated_at":"2021-09-30T08:26:16.884Z"}],"licence_links":[],"grants":[{"id":2835,"fairsharing_record_id":2539,"organisation_id":1599,"relation":"maintains","created_at":"2021-09-30T09:25:57.986Z","updated_at":"2021-09-30T09:25:57.986Z","grant_id":null,"is_lead":true,"saved_state":{"id":1599,"name":"Jet Propulsion Laboratory, California Institute of Technology, NASA, Pasadena, CA","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":2834,"fairsharing_record_id":2539,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:25:57.950Z","updated_at":"2021-09-30T09:25:57.950Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2540","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T11:14:06.000Z","updated_at":"2023-06-23T09:56:25.968Z","metadata":{"doi":"10.25504/FAIRsharing.z4xpxx","name":"AgroPortal","status":"ready","contacts":[{"contact_name":"Clement Jonquet","contact_email":"jonquet@lirmm.fr","contact_orcid":"0000-0002-2404-1582"}],"homepage":"http://agroportal.lirmm.fr","citations":[{"doi":"10.1016/j.compag.2017.10.012","publication_id":1359}],"identifier":2540,"description":"AgroPortal is an ontology repository for agronomy as well as food, plant, agriculture and biodiversity sciences. It provides ontology hosting, search, versioning, visualization, comment, and recommendation; enables semantic annotation; stores and exploits ontology alignments; and enables interoperation with the semantic web. To align with the needs of the agronomy community, AgroPortal uses SKOS vocabularies and trait dictionaries) and supported features (offering detailed metadata and advanced annotation capabilities).","abbreviation":"AgroPortal","data_curation":{"url":"https://doc.jonquetlab.lirmm.fr/share/e6158eda-c109-4385-852c-51a42de9a412/doc/submitting-an-ontology-MDwVEGW3w0","type":"manual/automated","notes":"outdated ontology deposit documentation"},"support_links":[{"url":"http://agroportal.lirmm.fr/feedback/","name":"Contact Form","type":"Contact form"},{"url":"https://github.com/agroportal","name":"Github Repository","type":"Github"},{"url":"http://agroportal.lirmm.fr/about","name":"About","type":"Help documentation"},{"url":"https://github.com/agroportal/documentation/wiki","name":"AgroPortal Documentation","type":"Github"},{"url":"http://agroportal.lirmm.fr/landscape","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/lagroportal","name":"@lagroportal","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open","notes":"No declaration but a CC-BY licence on each item"},"resource_sustainability":{"url":"https://agroportal.lirmm.fr/about","name":"List of grants, institutions and team members"},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001023","bsg-d001023"],"name":"FAIRsharing record for: AgroPortal","abbreviation":"AgroPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.z4xpxx","doi":"10.25504/FAIRsharing.z4xpxx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: AgroPortal is an ontology repository for agronomy as well as food, plant, agriculture and biodiversity sciences. It provides ontology hosting, search, versioning, visualization, comment, and recommendation; enables semantic annotation; stores and exploits ontology alignments; and enables interoperation with the semantic web. To align with the needs of the agronomy community, AgroPortal uses SKOS vocabularies and trait dictionaries) and supported features (offering detailed metadata and advanced annotation capabilities).","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11626},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16738}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Farming Systems Research","Botany","Fisheries Science","Plant Breeding","Agricultural Law","Health Science","Animal Husbandry","Food Security","Entomology","Agricultural Engineering","Rural and Agricultural Sociology","Ecology","Aquaculture","Biodiversity","Agriculture","Nutritional Science","Plant Anatomy","Plant Cell Biology","Physics","Pathology"],"domains":["Taxonomic classification","Geographical location","Food","Phenotype"],"taxonomies":["Not applicable"],"user_defined_tags":["Natural Resources, Earth and Environment","Plant Phenotypes and Traits"],"countries":["France"],"publications":[{"id":1359,"pubmed_id":null,"title":"AgroPortal: A vocabulary and ontology repository for agronomy","year":2018,"url":"https://doi.org/10.1016/j.compag.2017.10.012","authors":"Clément Jonquet, Anne Toulet, Elizabeth Arnaud, Sophie Aubin, Esther Dzalé Yeumo, Vincent Emonet, John Graybeal, Marie-Angélique Laporte, Mark A. Musen, Valeria Pesce, Pierre Larmande.","journal":"Computers and Electronics in Agriculture","doi":"10.1016/j.compag.2017.10.012","created_at":"2021-09-30T08:24:51.967Z","updated_at":"2021-09-30T08:24:51.967Z"},{"id":2519,"pubmed_id":null,"title":"Reusing the NCBO BioPortal Technology for Agronomy to Build AgroPortal.","year":2016,"url":"https://hal.archives-ouvertes.fr/hal-01398251","authors":"Clement Jonquet, Anne Toulet, Elizabeth Arnaud, Sophie Aubin, Esther Dzalé-Yeumo, Vincent Emonet, John Graybeal, Mark A Musen, Cyril Pommier, Pierre Larmande","journal":"Proceedings of the Joint International Conference on Biological Ontology and BioCreative, Corvallis, Oregon, United States, August 1-4, 2016.","doi":null,"created_at":"2021-09-30T08:27:09.062Z","updated_at":"2021-09-30T11:28:36.245Z"},{"id":3111,"pubmed_id":null,"title":"Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal","year":2018,"url":"http://doi.org/10.1007/s13740-018-0091-5","authors":"Clement Jonquet, Anne Toulet, Biswanath Dutta, Vincent Emonet","journal":"Journal on Data Semantics","doi":"10.1007/s13740-018-0091-5","created_at":"2021-09-30T08:28:23.283Z","updated_at":"2021-09-30T08:28:23.283Z"}],"licence_links":[],"grants":[{"id":2841,"fairsharing_record_id":2540,"organisation_id":3101,"relation":"maintains","created_at":"2021-09-30T09:25:58.216Z","updated_at":"2021-09-30T09:25:58.216Z","grant_id":null,"is_lead":true,"saved_state":{"id":3101,"name":"University of Montpellier, France","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":2844,"fairsharing_record_id":2540,"organisation_id":1754,"relation":"funds","created_at":"2021-09-30T09:25:58.318Z","updated_at":"2021-09-30T09:31:14.392Z","grant_id":1081,"is_lead":false,"saved_state":{"id":1754,"name":"Marie Sklodowska-Curie","grant":"701771","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2836,"fairsharing_record_id":2540,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:25:58.025Z","updated_at":"2021-09-30T09:25:58.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2840,"fairsharing_record_id":2540,"organisation_id":1675,"relation":"maintains","created_at":"2021-09-30T09:25:58.179Z","updated_at":"2021-09-30T09:25:58.179Z","grant_id":null,"is_lead":true,"saved_state":{"id":1675,"name":"Laboratory of Informatics, Robotics and Microelectronics of Montpellier","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":2843,"fairsharing_record_id":2540,"organisation_id":2066,"relation":"undefined","created_at":"2021-09-30T09:25:58.275Z","updated_at":"2021-09-30T09:25:58.275Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":2837,"fairsharing_record_id":2540,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:25:58.057Z","updated_at":"2021-09-30T09:30:45.772Z","grant_id":857,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-12-JS02-01001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2838,"fairsharing_record_id":2540,"organisation_id":47,"relation":"funds","created_at":"2021-09-30T09:25:58.094Z","updated_at":"2021-09-30T09:31:40.559Z","grant_id":1278,"is_lead":false,"saved_state":{"id":47,"name":"LabEx AGRO, Agropolis Fondation","grant":"ANR-10-LABX-0001","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9846,"fairsharing_record_id":2540,"organisation_id":2066,"relation":"collaborates_on","created_at":"2022-09-02T13:56:18.757Z","updated_at":"2022-09-02T13:56:18.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment","types":["Research institute"],"is_lead":false,"relation":"collaborates_on"}},{"id":9847,"fairsharing_record_id":2540,"organisation_id":1675,"relation":"collaborates_on","created_at":"2022-09-02T13:56:18.758Z","updated_at":"2022-09-02T13:56:18.758Z","grant_id":null,"is_lead":false,"saved_state":{"id":1675,"name":"Laboratory of Informatics, Robotics and Microelectronics of Montpellier","types":["Lab"],"is_lead":false,"relation":"collaborates_on"}},{"id":9848,"fairsharing_record_id":2540,"organisation_id":2623,"relation":"collaborates_on","created_at":"2022-09-02T13:56:18.802Z","updated_at":"2022-09-02T13:56:18.802Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"collaborates_on"}},{"id":2839,"fairsharing_record_id":2540,"organisation_id":2624,"relation":"undefined","created_at":"2021-09-30T09:25:58.136Z","updated_at":"2021-09-30T09:25:58.136Z","grant_id":null,"is_lead":false,"saved_state":{"id":2624,"name":"Stanford University Center for Biomedical Informatics Research, CA, USA","types":["Lab"],"is_lead":false,"relation":"undefined"}},{"id":2842,"fairsharing_record_id":2540,"organisation_id":1656,"relation":"funds","created_at":"2021-09-30T09:25:58.248Z","updated_at":"2021-09-30T09:31:07.033Z","grant_id":1024,"is_lead":false,"saved_state":{"id":1656,"name":"Labex Digital and Hardware Solutions and Modeling for the Environment and Life Sciences (NUMEV)","grant":"ANR-10-LABX-0020","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":8153,"fairsharing_record_id":2540,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:31:13.321Z","updated_at":"2021-09-30T09:31:13.368Z","grant_id":1071,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-11-BINF-0002","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8485,"fairsharing_record_id":2540,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:32:51.586Z","updated_at":"2021-09-30T09:32:51.632Z","grant_id":1809,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research","grant":"ANR-18-CE23-0017","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2541","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T12:55:23.000Z","updated_at":"2023-12-15T10:31:19.586Z","metadata":{"doi":"10.25504/FAIRsharing.f7p410","name":"RunMyCode","status":"ready","contacts":[],"homepage":"http://www.runmycode.org/","citations":[],"identifier":2541,"description":"RunMyCode is an online repository allowing people to share code and data associated with scientific publications. Its goal is to allow members of the academic community to replicate scientific results and to demonstrate the robustness of published code.","abbreviation":"RunMyCode","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.runmycode.org/contact","name":"Contact Form","type":"Contact form"},{"url":"http://www.runmycode.org/faq.html","name":"Run My Code FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.runmycode.org/privacy-policy.html","name":"Privacy Policy","type":"Help documentation"}],"year_creation":2017,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010418","name":"re3data:r3d100010418","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014011","name":"SciCrunch:RRID:SCR_014011","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001024","bsg-d001024"],"name":"FAIRsharing record for: RunMyCode","abbreviation":"RunMyCode","url":"https://fairsharing.org/10.25504/FAIRsharing.f7p410","doi":"10.25504/FAIRsharing.f7p410","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: RunMyCode is an online repository allowing people to share code and data associated with scientific publications. Its goal is to allow members of the academic community to replicate scientific results and to demonstrate the robustness of published code.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"RunMyCode Terms of Use","licence_id":719,"licence_url":"http://www.runmycode.org/terms-of-use.html","link_id":1063,"relation":"undefined"}],"grants":[{"id":2845,"fairsharing_record_id":2541,"organisation_id":3111,"relation":"maintains","created_at":"2021-09-30T09:25:58.349Z","updated_at":"2021-09-30T09:25:58.349Z","grant_id":null,"is_lead":false,"saved_state":{"id":3111,"name":"University of Orleans","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2846,"fairsharing_record_id":2541,"organisation_id":1229,"relation":"maintains","created_at":"2021-09-30T09:25:58.377Z","updated_at":"2021-09-30T09:25:58.377Z","grant_id":null,"is_lead":false,"saved_state":{"id":1229,"name":"HEC Paris","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2530","type":"fairsharing_records","attributes":{"created_at":"2017-11-03T16:37:58.000Z","updated_at":"2023-06-22T16:39:40.978Z","metadata":{"doi":"10.25504/FAIRsharing.6ba5fw","name":"Alliance of Genome Resources","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"help@alliancegenome.org"}],"homepage":"https://www.alliancegenome.org","citations":[{"doi":"10.1093/nar/gkz813","pubmed_id":31552413,"publication_id":1698}],"identifier":2530,"description":"The primary mission of the Alliance of Genome Resources (the Alliance) is to develop and maintain sustainable genome information resources that facilitate the use of diverse model organisms in understanding the genetic and genomic basis of human biology, health and disease.","abbreviation":null,"data_curation":{"url":"https://www.alliancegenome.org/help","type":"manual/automated","notes":"Both curators and computational tools such as DIOPT are utilised"},"support_links":[{"url":"https://www.alliancegenome.org/news","name":"News","type":"Blog/News"},{"url":"info@alliancegenome.org","name":"Contact","type":"Support email"},{"url":"https://www.alliancegenome.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.alliancegenome.org/help","name":"Help","type":"Help documentation"},{"url":"https://www.alliancegenome.org/tutorials","name":"Tutorial Listing","type":"Help documentation"},{"url":"https://github.com/alliance-genome/","name":"GitHub Project","type":"Github"},{"url":"https://www.alliancegenome.org/about-us","name":"About","type":"Help documentation"},{"url":"https://twitter.com/alliancegenome","name":"@alliancegenome","type":"Twitter"}],"year_creation":2017,"data_versioning":"no","associated_tools":[{"url":"https://www.alliancegenome.org/prototypes","name":"Prototype Tools Listing"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001013","bsg-d001013"],"name":"FAIRsharing record for: Alliance of Genome Resources","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.6ba5fw","doi":"10.25504/FAIRsharing.6ba5fw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The primary mission of the Alliance of Genome Resources (the Alliance) is to develop and maintain sustainable genome information resources that facilitate the use of diverse model organisms in understanding the genetic and genomic basis of human biology, health and disease.","linked_records":[],"linking_records":[{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11549},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16214},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":19985}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics"],"domains":["Genome map","Gene name","Gene functional annotation","Model organism","Disease process modeling","Gene expression","Functional association","Phenotype","Disease","Gene","Homologous","Orthologous","Genome"],"taxonomies":["Caenorhabditis","Danio rerio","Drosophila","Homo sapiens","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae","Xenopus laevis","Xenopus tropicalis"],"user_defined_tags":["COVID-19"],"countries":["United Kingdom","United States"],"publications":[{"id":1698,"pubmed_id":31552413,"title":"Alliance of Genome Resources Portal: unified model organism research platform.","year":2019,"url":"http://doi.org/10.1093/nar/gkz813","authors":"Alliance of Genome Resources Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz813","created_at":"2021-09-30T08:25:30.300Z","updated_at":"2021-09-30T11:29:18.893Z"},{"id":2007,"pubmed_id":31796553,"title":"The Alliance of Genome Resources: Building a Modern Data Ecosystem for Model Organism Databases.","year":2019,"url":"http://doi.org/10.1534/genetics.119.302523","authors":"Alliance of Genome Resources Consortium","journal":"Genetics","doi":"10.1534/genetics.119.302523","created_at":"2021-09-30T08:26:06.040Z","updated_at":"2021-09-30T08:26:06.040Z"}],"licence_links":[{"licence_name":"Alliance of Genome Resources Privacy, Warranty and Licensing","licence_id":25,"licence_url":"https://www.alliancegenome.org/privacy-warranty-licensing","link_id":2452,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2451,"relation":"undefined"}],"grants":[{"id":2808,"fairsharing_record_id":2530,"organisation_id":64,"relation":"maintains","created_at":"2021-09-30T09:25:56.944Z","updated_at":"2021-09-30T09:25:56.944Z","grant_id":null,"is_lead":true,"saved_state":{"id":64,"name":"Alliance of Genome Resources Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2810,"fairsharing_record_id":2530,"organisation_id":1998,"relation":"funds","created_at":"2021-09-30T09:25:57.023Z","updated_at":"2021-09-30T09:25:57.023Z","grant_id":null,"is_lead":false,"saved_state":{"id":1998,"name":"National Human Genome Research Institute (NHGRI), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2809,"fairsharing_record_id":2530,"organisation_id":1997,"relation":"funds","created_at":"2021-09-30T09:25:56.986Z","updated_at":"2021-09-30T09:31:46.694Z","grant_id":1321,"is_lead":false,"saved_state":{"id":1997,"name":"National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA","grant":"U24HG010859","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2531","type":"fairsharing_records","attributes":{"created_at":"2017-11-21T11:48:13.000Z","updated_at":"2024-06-14T09:32:53.360Z","metadata":{"doi":"10.25504/FAIRsharing.agwgmc","name":"CloudFlame","status":"deprecated","contacts":[{"contact_name":"General Contact","contact_email":"cloudflame@kaust.edu.sa"}],"homepage":"https://cloudflame.kaust.edu.sa","citations":[],"identifier":2531,"description":"CloudFlame is a cloud-based cyberinfrastructure for managing combustion research and enabling collaboration. The infrastructure includes both software and hardware components, and is freely offered to anyone with a valid professional or educational affiliation. This website provides a front-end for data search tools, web-based numerical simulations, and discussion forums. We have marked this resource as having an Uncertain status because we have been unable to confirm certain metadata with the resource contact. If you have any information about the current status of this project, please get in touch.","abbreviation":"CloudFlame","data_curation":{"type":"not found"},"support_links":[{"url":"https://cloudflame.kaust.edu.sa/contact","name":"CloudFlame Contact Form","type":"Contact form"},{"url":"https://cloudflame.kaust.edu.sa/Help","name":"Help Videos","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"https://cloudflame.kaust.edu.sa/Simulations","name":"CloudFlame CANTERA"},{"url":"https://cloudflame.kaust.edu.sa/OpenSmoke","name":"CloudFlame OPENSMOKE++"},{"url":"https://cloudflame.kaust.edu.sa/fuel","name":"Fuel Tools"},{"url":"https://cloudflame.kaust.edu.sa/thermo_tools","name":"CloudFlame Thermo"},{"url":"https://cloudflame.kaust.edu.sa/node/353","name":"CFD Simulations"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013647","name":"re3data:r3d100013647","portal":"re3data"}],"deprecation_date":"2024-06-14","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"url":"https://cloudflame.kaust.edu.sa/user/register","type":"open","notes":"You do need to register to access to the database"},"data_contact_information":"not found","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001014","bsg-d001014"],"name":"FAIRsharing record for: CloudFlame","abbreviation":"CloudFlame","url":"https://fairsharing.org/10.25504/FAIRsharing.agwgmc","doi":"10.25504/FAIRsharing.agwgmc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CloudFlame is a cloud-based cyberinfrastructure for managing combustion research and enabling collaboration. The infrastructure includes both software and hardware components, and is freely offered to anyone with a valid professional or educational affiliation. This website provides a front-end for data search tools, web-based numerical simulations, and discussion forums. We have marked this resource as having an Uncertain status because we have been unable to confirm certain metadata with the resource contact. If you have any information about the current status of this project, please get in touch.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11792}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry"],"domains":["Combustion"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Saudi Arabia"],"publications":[],"licence_links":[],"grants":[{"id":2811,"fairsharing_record_id":2531,"organisation_id":2494,"relation":"funds","created_at":"2021-09-30T09:25:57.061Z","updated_at":"2021-09-30T09:25:57.061Z","grant_id":null,"is_lead":false,"saved_state":{"id":2494,"name":"Saudi Aramco","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2812,"fairsharing_record_id":2531,"organisation_id":532,"relation":"maintains","created_at":"2021-09-30T09:25:57.089Z","updated_at":"2021-09-30T09:25:57.089Z","grant_id":null,"is_lead":false,"saved_state":{"id":532,"name":"Clean Combustion Research Center, King Abdullah University of Science and Technology. Saudi Arabia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2813,"fairsharing_record_id":2531,"organisation_id":1637,"relation":"funds","created_at":"2021-09-30T09:25:57.113Z","updated_at":"2021-09-30T09:25:57.113Z","grant_id":null,"is_lead":false,"saved_state":{"id":1637,"name":"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2548","type":"fairsharing_records","attributes":{"created_at":"2018-01-05T14:22:52.000Z","updated_at":"2024-05-07T10:34:02.019Z","metadata":{"doi":"10.25504/FAIRsharing.thskvr","name":"Code Ocean","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"contact@codeocean.com"}],"homepage":"https://codeocean.com","citations":[],"identifier":2548,"description":"Code Ocean is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover and run code published in academic journals and conferences. The platform provides open access to the published software code and data to view and download for everyone for free. Users can execute all published code without installing anything on their personal computer. Everything runs in the cloud on CPUs or GPUs according to the user needs.","abbreviation":"CO","data_curation":{"url":"https://help.codeocean.com/en/articles/1120151-code-ocean-s-verification-process-for-computational-reproducibility-quality","type":"manual","notes":"Authors may provide metadata for their code; please note that code verification is performed by CodeOcean, however no peer review of the code is performed."},"support_links":[{"url":"https://codeocean.com/blog","name":"Code Ocean Blog","type":"Blog/News"},{"url":"https://codeocean.com/contact","name":"Contact form","type":"Contact form"},{"url":"https://help.codeocean.com","name":"Help center","type":"Help documentation"},{"url":"https://twitter.com/CodeOceanHQ","name":"CodeOceanHQ","type":"Twitter"}],"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012369","name":"re3data:r3d100012369","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_015532","name":"SciCrunch:RRID:SCR_015532","portal":"SciCrunch"}],"data_access_condition":{"url":"https://help.codeocean.com/en/articles/3063022-publishing-on-code-ocean-an-overview","type":"partially open","notes":"Code may be kept private until published by the authors"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001031","bsg-d001031"],"name":"FAIRsharing record for: Code Ocean","abbreviation":"CO","url":"https://fairsharing.org/10.25504/FAIRsharing.thskvr","doi":"10.25504/FAIRsharing.thskvr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Code Ocean is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover and run code published in academic journals and conferences. The platform provides open access to the published software code and data to view and download for everyone for free. Users can execute all published code without installing anything on their personal computer. Everything runs in the cloud on CPUs or GPUs according to the user needs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Software"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Israel","United States"],"publications":[{"id":3788,"pubmed_id":null,"title":"Computational Reproducibility via Containers in Psychology","year":2019,"url":"http://dx.doi.org/10.15626/MP.2018.892","authors":"Clyburne-Sherin, April; Fei, Xu; Green, Seth Ariel; ","journal":"Meta-psychology","doi":"10.15626/mp.2018.892","created_at":"2023-02-23T08:45:25.563Z","updated_at":"2023-02-23T08:47:28.760Z"}],"licence_links":[{"licence_name":"Code Ocean Terms of Use","licence_id":142,"licence_url":"https://codeocean.com/terms-of-use","link_id":935,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3102,"relation":"applies_to_content"},{"licence_name":"MIT Licence","licence_id":517,"licence_url":"https://opensource.org/licenses/mit","link_id":3101,"relation":"applies_to_content"}],"grants":[{"id":2859,"fairsharing_record_id":2548,"organisation_id":546,"relation":"maintains","created_at":"2021-09-30T09:25:58.871Z","updated_at":"2021-09-30T09:25:58.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":546,"name":"Code Ocean, New York, NY, USA","types":["Company"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbDBDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--cbb6fb6ad3e03818ed01acaa2eab4e6e33f45b57/Screenshot%20from%202023-02-23%2009-02-20.png?disposition=inline","exhaustive_licences":false}},{"id":"2570","type":"fairsharing_records","attributes":{"created_at":"2018-02-27T14:54:05.000Z","updated_at":"2024-04-11T10:24:07.289Z","metadata":{"doi":"10.25504/FAIRsharing.a04fb2","name":"Citrus Genome Database","status":"ready","contacts":[],"homepage":"https://www.citrusgenomedb.org/","citations":[],"identifier":2570,"description":"The Citrus Genome Database, known as CGD, is a USDA and NSF funded resource to enable basic, translational and applied research in citrus. It houses genomics, genetics and breeding data for citrus species and organisms associated with HLB. It is built by the Mainlab at Washington State University using the open-source, generic database platform Tripal.","abbreviation":"CGD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.citrusgenomedb.org/contact","name":"CGD Contact Form","type":"Contact form"},{"url":"https://www.citrusgenomedb.org/userManual","name":"CGD User Manual","type":"Help documentation"},{"url":"https://www.citrusgenomedb.org/about","name":"About CGD","type":"Help documentation"},{"url":"https://www.citrusgenomedb.org/data_overview/1","name":"Data Overview","type":"Help documentation"},{"url":"https://twitter.com/CGD_news","name":"@CGD_news","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://www.citrusgenomedb.org/blast","name":"BLAST+"},{"url":"https://ptools.citrusgenomedb.org/","name":"CitrusCyc"},{"url":"https://www.citrusgenomedb.org/jbrowses","name":"JBrowse"},{"url":"https://www.citrusgenomedb.org/MapViewer","name":"MapViewer"},{"url":"https://www.citrusgenomedb.org/heatmap","name":"Expression Heatmap"},{"url":"https://www.citrusgenomedb.org/synview/search","name":"Synteny Viewer"},{"url":"https://www.citrusgenomedb.org/bims","name":"Breeding Information Management System (BIMS)"}],"cross_references":[{"url":"https://www.fruitandnutlist.org/","name":"Fruit and Nut Cultivars Database","portal":"Other"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.citrusgenomedb.org/tgg/data_submission","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001053","bsg-d001053"],"name":"FAIRsharing record for: Citrus Genome Database","abbreviation":"CGD","url":"https://fairsharing.org/10.25504/FAIRsharing.a04fb2","doi":"10.25504/FAIRsharing.a04fb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Citrus Genome Database, known as CGD, is a USDA and NSF funded resource to enable basic, translational and applied research in citrus. It houses genomics, genetics and breeding data for citrus species and organisms associated with HLB. It is built by the Mainlab at Washington State University using the open-source, generic database platform Tripal.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11502},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15734}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Plant Breeding","Genomics","Genetics","Plant Genetics"],"domains":[],"taxonomies":["Candidatus Liberibacter asiaticus","Citrus","Citrus clementina","Citrus sinensis","Poncirus","Citrus ichangensis","Citrus reticulata","Citrus maxima","Citrus medica","Poncirus trifoliata","Fortunella hindsii"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2904,"fairsharing_record_id":2570,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.417Z","updated_at":"2021-09-30T09:26:00.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2903,"fairsharing_record_id":2570,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.386Z","updated_at":"2021-09-30T09:30:05.505Z","grant_id":547,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF Plant Genome Research Program Award","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2905,"fairsharing_record_id":2570,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:26:00.443Z","updated_at":"2021-09-30T09:29:14.486Z","grant_id":154,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"USDA NIFA Specialty Crop Research Program","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8315,"fairsharing_record_id":2570,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:32:02.449Z","updated_at":"2021-09-30T09:32:02.501Z","grant_id":1441,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","grant":"USDA NIFA National Research Support Project 10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa1lCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--ace8de093c0ddd27a05c0f81372aedbd0d712bce/CGD_logo.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2571","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T12:19:22.000Z","updated_at":"2023-12-15T10:32:37.919Z","metadata":{"doi":"10.25504/FAIRsharing.d040a4","name":"Cacao Genome Database","status":"ready","contacts":[{"contact_name":"Ping Zheng","contact_email":"ping_zheng@wsu.edu","contact_orcid":null}],"homepage":"https://www.cacaogenomedb.org/","citations":[],"identifier":2571,"description":"The Cacao Genome Database (CGD) is a database storing information on the genome of Theobroma cacao. The sequenced genotype, Matina 1-6, is representative of the genetic background most commonly found in the cacao producing countries, enabling results to be applied to current commercial cultivars. Before viewing the data, users have to agree that they will not seek any intellectual property protection over the data, including gene sequences contained in the database. The Information Access Agreement allows any cacao breeders and other researchers to freely use the genome information to develop new cacao varieties. This allows for a level playing field and a healthy competitive environment that will ultimately benefit the sustainability of cacao production in the long term.","abbreviation":"CGD","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.cacaogenomedb.org/contact","name":"CGD Contact Form","type":"Contact form"},{"url":"https://www.cacaogenomedb.org/faq","name":"CGD Frequently Asked Questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.cacaogenomedb.org/mailing_lists","name":"CGD mailing list","type":"Mailing list"},{"url":"https://www.cacaogenomedb.org/sites/default/files/CGD_brochure_2012.pdf","name":"CGD Brochure","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://www.cacaogenomedb.org/tools/cmap","name":"CMAP"},{"url":"https://www.cacaogenomedb.org/tools/gbrowse_syn","name":"GBrowse_syn"},{"url":"https://www.cacaogenomedb.org/tools/gbrowse","name":"GBrowse"},{"url":"https://www.cacaogenomedb.org/tools/blast","name":"BLAST"},{"url":"https://www.cacaogenomedb.org/tools/webfpc","name":"WebFPC"}],"data_access_condition":{"url":"https://www.cacaogenomedb.org/faq/","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cacaogenomedb.org/faq/","type":"not applicable","notes":"Database is for their sequencing project only."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001054","bsg-d001054"],"name":"FAIRsharing record for: Cacao Genome Database","abbreviation":"CGD","url":"https://fairsharing.org/10.25504/FAIRsharing.d040a4","doi":"10.25504/FAIRsharing.d040a4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Cacao Genome Database (CGD) is a database storing information on the genome of Theobroma cacao. The sequenced genotype, Matina 1-6, is representative of the genetic background most commonly found in the cacao producing countries, enabling results to be applied to current commercial cultivars. Before viewing the data, users have to agree that they will not seek any intellectual property protection over the data, including gene sequences contained in the database. The Information Access Agreement allows any cacao breeders and other researchers to freely use the genome information to develop new cacao varieties. This allows for a level playing field and a healthy competitive environment that will ultimately benefit the sustainability of cacao production in the long term.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11503}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Plant Breeding","Genomics","Agriculture","Plant Genetics"],"domains":[],"taxonomies":["Theobroma cacao"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2906,"fairsharing_record_id":2571,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:00.479Z","updated_at":"2021-09-30T09:26:00.479Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2907,"fairsharing_record_id":2571,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.521Z","updated_at":"2023-09-22T15:24:05.743Z","grant_id":null,"is_lead":true,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2572","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T12:40:10.000Z","updated_at":"2024-04-11T10:32:24.746Z","metadata":{"doi":"10.25504/FAIRsharing.8d1f51","name":"Pulse Crop Database","status":"ready","contacts":[],"homepage":"https://www.pulsedb.org/","citations":[],"identifier":2572,"description":"Although there is wealth of legume genetic research information in North America and throughout the world, there is still a need for a system that can organize, filter and provide analysis on the available research to be directly applied in breeding programs. The Pulse Crop Database (formerly the Cool Season Food Legume Crop Database) is being developed to serve as a resource for Genomics-Assisted Breeding (GAB). GAB offers tools to identify genes related to traits of interest among other methods to optimize plant breeding efficiency and research, by providing relevant genomic, genetic and breeding information and analysis.","abbreviation":"PCD","data_curation":{"type":"not found"},"support_links":[{"url":"https://pulsedb.org/UserManual","name":"User Manual","type":"Help documentation"},{"url":"pulsedb-list@pulsedb.org","name":"Mailing List","type":"Mailing list"},{"url":"https://pulsedb.org/data_overview/1","name":"Data Overview","type":"Help documentation"},{"url":"https://twitter.com/PulseDB_news","name":"@PulseDB_news","type":"Twitter"},{"url":"https://pulsedb.org/pulsedb_contact","name":"Contact","type":"Contact form"},{"url":"https://www.youtube.com/channel/UC0S8SqxuMpfScejyE-VCtxA","name":"MainLab YouTube Channel","type":"Video"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://pulsedb.org/jbrowses","name":"JBrowse"},{"url":"https://pulsedb.org/blast","name":"BLAST+"},{"url":"https://www.pulsedb.org/MapViewer","name":"MapViewer"},{"url":"https://ptools.pulsedb.org/","name":"PathwayCyc"},{"url":"https://pulsedb.org/synview/search","name":"Synteny Viewer"},{"url":"https://www.pulsedb.org/bims","name":"Breeding Information Management System (BIMS)"},{"url":"https://www.pulsedb.org/heatmap","name":"Expression Heatmap"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.pulsedb.org/data_submission","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001055","bsg-d001055"],"name":"FAIRsharing record for: Pulse Crop Database","abbreviation":"PCD","url":"https://fairsharing.org/10.25504/FAIRsharing.8d1f51","doi":"10.25504/FAIRsharing.8d1f51","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Although there is wealth of legume genetic research information in North America and throughout the world, there is still a need for a system that can organize, filter and provide analysis on the available research to be directly applied in breeding programs. The Pulse Crop Database (formerly the Cool Season Food Legume Crop Database) is being developed to serve as a resource for Genomics-Assisted Breeding (GAB). GAB offers tools to identify genes related to traits of interest among other methods to optimize plant breeding efficiency and research, by providing relevant genomic, genetic and breeding information and analysis.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11504},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11628}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Plant Breeding","Genomics","Genetics","Agriculture","Plant Genetics"],"domains":[],"taxonomies":["Cajanus cajan","Cicer arietinum","Lens culinaris","Lupinus angustifolius","Phaseolus vulgaris","Pisum sativum","Vicia faba","Vigna angularis","Vigna unguiculata","Vigna subterranea","Vicia sativa"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2518,"pubmed_id":null,"title":"Cool Season Food Legume Genome Database: A resource for pea, lentil, faba bean and chickpea genetics, genomics and breeding","year":2017,"url":"https://www.pulsedb.org/sites/default/files/files/CSFL_poster-PAG2019.pdf","authors":"Humann JL, Jung S, Cheng C-H, Lee T, Zheng P, Frank M, McGaughey D, Scott K, Buble K, Yu J, Hough H. Coyne C, McGee R, Main D","journal":"Proceedings of the International Plant and Animal Genome Conference, San Diego, CA, USA.","doi":null,"created_at":"2021-09-30T08:27:08.945Z","updated_at":"2021-09-30T08:27:08.945Z"}],"licence_links":[],"grants":[{"id":2908,"fairsharing_record_id":2572,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.560Z","updated_at":"2021-09-30T09:26:00.560Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2NCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--969372fe37375721b95072e6514e09a480ef30a3/PulseDB-HomepageLogo2.png?disposition=inline","exhaustive_licences":false}},{"id":"2573","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T13:01:09.000Z","updated_at":"2024-04-11T10:16:31.009Z","metadata":{"doi":"10.25504/FAIRsharing.2f668a","name":"CottonGen","status":"ready","contacts":[],"homepage":"https://www.cottongen.org/","citations":[],"identifier":2573,"description":"CottonGen is a cotton community genomics, genetics and breeding database being developed to enable basic, translational and applied research in cotton. It is being built using the open-source Tripal database infrastructure. CottonGen supercedes CottonDB and the Cotton Marker Database, with enhanced tools for easier data sharing, mining, visualization and data retrieval of cotton research data. CottonGen contains annotated whole genome sequences, unigenes from expressed sequence tags (ESTs), markers, trait loci, genetic maps, genes, taxonomy, germplasm, publications and communication resources for the cotton community. Annotated whole genome sequences of Gossypium raimondii are available with aligned genetic markers and transcripts.","abbreviation":"CottonGen","data_curation":{"url":"https://www.cottongen.org/data/submission","type":"manual"},"support_links":[{"url":"https://www.cottongen.org/contact","name":"CottonGen Contact Form","type":"Contact form"},{"url":"https://www.cottongen.org/data_overview/1","name":"Data Overview","type":"Help documentation"},{"url":"https://www.cottongen.org/data/trait_ontology","name":"Cotton Trait Ontology","type":"Help documentation"},{"url":"https://www.cottongen.org/about","name":"About CottonGen","type":"Help documentation"},{"url":"https://twitter.com/CottonGen_news","name":"@CottonGen_news","type":"Twitter"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://www.cottongen.org/blast","name":"BLAST"},{"url":"https://www.cottongen.org/tools/jbrowse","name":"JBrowse"},{"url":"https://www.cottongen.org/retrieve/sequences","name":"Sequence Retrieval"},{"url":"https://www.cottongen.org/MapViewer","name":"MapViewer"},{"url":"https://www.cottongen.org/bims","name":"Breeding Information Management System (BIMS)"},{"url":"https://ptools.cottongen.org/","name":"CottonCyc"},{"url":"https://www.cottongen.org/heatmap","name":"Expression Heatmap"},{"url":"https://www.cottongen.org/synview/search","name":"Synteny Viewer"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012668","name":"re3data:r3d100012668","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cottongen.org/data/submission","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001056","bsg-d001056"],"name":"FAIRsharing record for: CottonGen","abbreviation":"CottonGen","url":"https://fairsharing.org/10.25504/FAIRsharing.2f668a","doi":"10.25504/FAIRsharing.2f668a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CottonGen is a cotton community genomics, genetics and breeding database being developed to enable basic, translational and applied research in cotton. It is being built using the open-source Tripal database infrastructure. CottonGen supercedes CottonDB and the Cotton Marker Database, with enhanced tools for easier data sharing, mining, visualization and data retrieval of cotton research data. CottonGen contains annotated whole genome sequences, unigenes from expressed sequence tags (ESTs), markers, trait loci, genetic maps, genes, taxonomy, germplasm, publications and communication resources for the cotton community. Annotated whole genome sequences of Gossypium raimondii are available with aligned genetic markers and transcripts.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11505},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11629}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Plant Breeding","Genomics","Agriculture","Life Science","Plant Genetics"],"domains":["Genetic map","Whole genome sequencing"],"taxonomies":["Gossypium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2085,"pubmed_id":24203703,"title":"CottonGen: a genomics, genetics and breeding database for cotton research.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1064","authors":"Yu J,Jung S,Cheng CH,Ficklin SP,Lee T,Zheng P,Jones D,Percy RG,Main D","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1064","created_at":"2021-09-30T08:26:15.055Z","updated_at":"2021-09-30T11:29:28.187Z"}],"licence_links":[],"grants":[{"id":2910,"fairsharing_record_id":2573,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:00.629Z","updated_at":"2021-09-30T09:26:00.629Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2914,"fairsharing_record_id":2573,"organisation_id":783,"relation":"funds","created_at":"2021-09-30T09:26:00.775Z","updated_at":"2021-09-30T09:26:00.775Z","grant_id":null,"is_lead":false,"saved_state":{"id":783,"name":"Dow/Phytogen","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2915,"fairsharing_record_id":2573,"organisation_id":1894,"relation":"funds","created_at":"2021-09-30T09:26:00.808Z","updated_at":"2021-09-30T09:26:00.808Z","grant_id":null,"is_lead":false,"saved_state":{"id":1894,"name":"Monsanto","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2909,"fairsharing_record_id":2573,"organisation_id":3219,"relation":"maintains","created_at":"2021-09-30T09:26:00.594Z","updated_at":"2021-09-30T09:26:00.594Z","grant_id":null,"is_lead":false,"saved_state":{"id":3219,"name":"Washington State University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2911,"fairsharing_record_id":2573,"organisation_id":617,"relation":"funds","created_at":"2021-09-30T09:26:00.671Z","updated_at":"2021-09-30T09:26:00.671Z","grant_id":null,"is_lead":false,"saved_state":{"id":617,"name":"Cotton Incorporated","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":2912,"fairsharing_record_id":2573,"organisation_id":2935,"relation":"maintains","created_at":"2021-09-30T09:26:00.710Z","updated_at":"2021-09-30T09:26:00.710Z","grant_id":null,"is_lead":false,"saved_state":{"id":2935,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Crop Germplasm Research Unit, College Station, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2913,"fairsharing_record_id":2573,"organisation_id":2599,"relation":"funds","created_at":"2021-09-30T09:26:00.743Z","updated_at":"2021-09-30T09:26:00.743Z","grant_id":null,"is_lead":false,"saved_state":{"id":2599,"name":"Southern Association of Agricultural Experiment Station Directors","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2916,"fairsharing_record_id":2573,"organisation_id":177,"relation":"funds","created_at":"2021-09-30T09:26:00.842Z","updated_at":"2021-09-30T09:26:00.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":177,"name":"Bayer Crop Science, Germany","types":["Company"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2574","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T13:39:08.000Z","updated_at":"2023-06-23T15:58:37.355Z","metadata":{"doi":"10.25504/FAIRsharing.PkY7Hl","name":"Cucurbit Genomics Database","status":"ready","contacts":[{"contact_email":"feibioinfolab@gmail.com"}],"homepage":"http://cucurbitgenomics.org","citations":[{"doi":"10.1093/nar/gkac921","pubmed_id":null,"publication_id":3874}],"identifier":2574,"description":"The recent genome sequence assemblies of major cucurbit crop species, including cucumber, melon, watermelon and pumpkin have made it feasible to use advanced genomic approaches in cucurbit breeding. Under the CucCAP project (http://cuccap.org), the Cucurbit Genomics Database (CuGenDB) aims to accelerate the breeding progress of cucurbit crops. Tripal was used to help manage, store, distribute and analyze the large amount of recently generated genotype and phenotype data. CuGenDB integrates genetic, genomics, transcriptomics and other biological data.","abbreviation":"CuGenDB","data_curation":{"type":"manual","notes":"Metadata are manually curated by checking the publications describing the data."},"support_links":[{"url":"http://cucurbitgenomics.org/contact","name":"CuGenDB Contact Form","type":"Contact form"},{"url":"cucurbit-l@cornell.edu","name":"CuGenDB Mailing List","type":"Mailing list"},{"url":"https://pag.confex.com/pag/xxvi/meetingapp.cgi/Paper/30589","name":"Conference Presentation","type":"Help documentation"}],"data_versioning":"yes","associated_tools":[{"url":"http://cucurbitgenomics.org/blast","name":"BLAST"},{"url":"http://cucurbitgenomics.org/goenrich","name":"GO Enrichment"},{"url":"http://cucurbitgenomics.org/funcat","name":"Gene Classification"},{"url":"http://cucurbitgenomics.org/JBrowse/","name":"JBrowse"},{"url":"http://cucurbitgenomics.org/batchquery","name":"Batch Query"},{"url":"http://cucurbitgenomics.org/synview/search","name":"Synteny Viewer"},{"url":"http://cucurbitgenomics.org/cmaps","name":"CMap"},{"url":"http://cucurbitgenomics.org/pwyenrich","name":"Pathway Enrichment"}],"data_access_condition":{"url":"http://cucurbitgenomics.org/v2/search","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001057","bsg-d001057"],"name":"FAIRsharing record for: Cucurbit Genomics Database","abbreviation":"CuGenDB","url":"https://fairsharing.org/10.25504/FAIRsharing.PkY7Hl","doi":"10.25504/FAIRsharing.PkY7Hl","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The recent genome sequence assemblies of major cucurbit crop species, including cucumber, melon, watermelon and pumpkin have made it feasible to use advanced genomic approaches in cucurbit breeding. Under the CucCAP project (http://cuccap.org), the Cucurbit Genomics Database (CuGenDB) aims to accelerate the breeding progress of cucurbit crops. Tripal was used to help manage, store, distribute and analyze the large amount of recently generated genotype and phenotype data. CuGenDB integrates genetic, genomics, transcriptomics and other biological data.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11506},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15731}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Agriculture","Life Science","Transcriptomics"],"domains":["Phenotype","Genotype"],"taxonomies":["Cucurbitaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":146,"pubmed_id":30321383,"title":"Cucurbit Genomics Database (CuGenDB): a central portal for comparative and functional genomics of cucurbit crops.","year":2018,"url":"http://doi.org/10.1093/nar/gky944","authors":"Zheng Y,Wu S,Bai Y,Sun H,Jiao C,Guo S,Zhao K,Blanca J,Zhang Z,Huang S,Xu Y,Weng Y,Mazourek M,K Reddy U,Ando K,McCreight JD,Schaffer AA,Burger J,Tadmor Y,Katzir N,Tang X,Liu Y,Giovannoni JJ,Ling KS,Wechter WP,Levi A,Garcia-Mas J,Grumet R,Fei Z","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky944","created_at":"2021-09-30T08:22:35.904Z","updated_at":"2021-09-30T11:28:43.108Z"},{"id":3874,"pubmed_id":null,"title":"CuGenDBv2: an updated database for cucurbit genomics","year":2023,"url":"http://dx.doi.org/10.1093/nar/gkac921","authors":"Yu, Jingyin; Wu, Shan; Sun, Honghe; Wang, Xin; Tang, Xuemei; Guo, Shaogui; Zhang, Zhonghua; Huang, Sanwen; Xu, Yong; Weng, Yiqun; Mazourek, Michael; McGregor, Cecilia; Renner, Susanne S; Branham, Sandra; Kousik, Chandrasekar; Wechter, W Patrick; Levi, Amnon; Grumet, Rebecca; Zheng, Yi; Fei, Zhangjun; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac921","created_at":"2023-05-31T07:40:44.007Z","updated_at":"2023-05-31T07:42:13.715Z"}],"licence_links":[],"grants":[{"id":2918,"fairsharing_record_id":2574,"organisation_id":1009,"relation":"maintains","created_at":"2021-09-30T09:26:00.897Z","updated_at":"2021-09-30T09:26:00.897Z","grant_id":null,"is_lead":false,"saved_state":{"id":1009,"name":"Feilab, Boyce Thomson Institute, Ithaca, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2917,"fairsharing_record_id":2574,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:00.866Z","updated_at":"2021-09-30T09:26:00.866Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2575","type":"fairsharing_records","attributes":{"created_at":"2018-02-28T13:55:14.000Z","updated_at":"2023-06-22T17:33:10.305Z","metadata":{"doi":"10.25504/FAIRsharing.Aa2ryS","name":"Shanoir","status":"ready","contacts":[{"contact_name":"Shanoir Helpdesk","contact_email":"shanoir-contact@lists.gforge.inria.fr"}],"homepage":"https://shanoir.irisa.fr/","citations":[],"identifier":2575,"description":"Shanoir (Sharing NeurOImaging Resources) is an open source neuroinformatics platform designed to share, archive, search and visualize neuroimaging data. It provides a user-friendly secure web access and offers an intuitive workflow to facilitate the collecting and retrieving of neuroimaging data from multiple sources and a wizzard to make the completion of metadata easy. Shanoir comes along many features such as anonymization of data, support for multi-centres clinical studies on subjects or group of subjects.","abbreviation":"Shanoir","data_curation":{"type":"not found"},"support_links":[{"url":"https://project.inria.fr/shanoir/","name":"About","type":"Help documentation"},{"url":"https://github.com/fli-iam/shanoir-ng","name":"GitHub repository","type":"Github"}],"year_creation":2016,"data_versioning":"not found","data_access_condition":{"url":"https://project.inria.fr/shanoir/access-request-rework-in-shanoir-a-public-catalog-for-more-fairness/","type":"partially open","notes":"Login mandatory, but portions of the database are available after login"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"url":"https://project.inria.fr/shanoir/","type":"open","notes":"Login required, but any researcher may store data."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001058","bsg-d001058"],"name":"FAIRsharing record for: Shanoir","abbreviation":"Shanoir","url":"https://fairsharing.org/10.25504/FAIRsharing.Aa2ryS","doi":"10.25504/FAIRsharing.Aa2ryS","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Shanoir (Sharing NeurOImaging Resources) is an open source neuroinformatics platform designed to share, archive, search and visualize neuroimaging data. It provides a user-friendly secure web access and offers an intuitive workflow to facilitate the collecting and retrieving of neuroimaging data from multiple sources and a wizzard to make the completion of metadata easy. Shanoir comes along many features such as anonymization of data, support for multi-centres clinical studies on subjects or group of subjects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Magnetic resonance imaging","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Neuroinformatics"],"countries":["France"],"publications":[{"id":937,"pubmed_id":null,"title":"Shanoir: Applying the Software as a Service Distribution Model to Manage Brain Imaging Research Repositories","year":2016,"url":"http://doi.org/10.3389/fict.2016.00025","authors":"Christian Barillot, Elise Bannier, Olivier Commowick, Isabelle Corouge, Anthony Baire, Ines Fakhfakh, Justine Guillaumont, Yao Yao, Michael Kain","journal":"Frontiers in ICT","doi":"10.3389/fict.2016.00025","created_at":"2021-09-30T08:24:03.662Z","updated_at":"2021-09-30T08:24:03.662Z"}],"licence_links":[],"grants":[{"id":10613,"fairsharing_record_id":2575,"organisation_id":3999,"relation":"maintains","created_at":"2023-05-15T13:55:46.806Z","updated_at":"2023-05-15T13:55:46.806Z","grant_id":null,"is_lead":true,"saved_state":{"id":3999,"name":"Empenn Team, INRIA Rennes – Bretagne Atlantique Research Centre","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2576","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T13:11:54.000Z","updated_at":"2023-03-21T15:19:12.749Z","metadata":{"doi":"10.25504/FAIRsharing.cbfbbb","name":"GeneNet Engine","status":"deprecated","contacts":[{"contact_name":"Frank Alex Feltus","contact_email":"ffeltus@clemson.edu","contact_orcid":"0000-0002-2123-6114"}],"homepage":"http://gene-networks.org/","citations":[],"identifier":2576,"description":"GeneNet Engine is an exploratory tool to aid hypothesis and biomarker development at a systems-level for genotype-phenotype relationships. Expressed phenotypes may arise due to interactions between multiple genes in a system and effects from the surrounding environment. Therefore, a high systems-level view is needed to identify gene sets causal for a trait. The ability to predict genes that effect important traits is of great importance to agriculture and health. System biology approaches, that combine genomics, gene co-expression networks and data from genetic studies help provide a view at the systems-level of gene interactions. As co-expressed genes tend to be involved in similar processes, it is expected that co-expressed genes may work together to give rise to specific pheontypes. The network module serves as the basic unit of exploration in this site.","abbreviation":"GeneNet Engine","data_curation":{},"year_creation":2013,"data_versioning":"not found","deprecation_date":"2023-03-21","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001059","bsg-d001059"],"name":"FAIRsharing record for: GeneNet Engine","abbreviation":"GeneNet Engine","url":"https://fairsharing.org/10.25504/FAIRsharing.cbfbbb","doi":"10.25504/FAIRsharing.cbfbbb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneNet Engine is an exploratory tool to aid hypothesis and biomarker development at a systems-level for genotype-phenotype relationships. Expressed phenotypes may arise due to interactions between multiple genes in a system and effects from the surrounding environment. Therefore, a high systems-level view is needed to identify gene sets causal for a trait. The ability to predict genes that effect important traits is of great importance to agriculture and health. System biology approaches, that combine genomics, gene co-expression networks and data from genetic studies help provide a view at the systems-level of gene interactions. As co-expressed genes tend to be involved in similar processes, it is expected that co-expressed genes may work together to give rise to specific pheontypes. The network module serves as the basic unit of exploration in this site.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11507},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12800}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Life Science","Systems Biology"],"domains":["Network model","Biomarker","Co-expression","Phenotype","Genotype"],"taxonomies":["Arabidopsis thaliana","Oryza sativa","Zea mays"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":795,"pubmed_id":23874666,"title":"A systems-genetics approach and data mining tool to assist in the discovery of genes underlying complex traits in Oryza sativa.","year":2013,"url":"http://doi.org/10.1371/journal.pone.0068551","authors":"Ficklin SP,Feltus FA","journal":"PLoS One","doi":"10.1371/journal.pone.0068551","created_at":"2021-09-30T08:23:47.620Z","updated_at":"2021-09-30T08:23:47.620Z"}],"licence_links":[],"grants":[{"id":2920,"fairsharing_record_id":2576,"organisation_id":1106,"relation":"maintains","created_at":"2021-09-30T09:26:00.980Z","updated_at":"2021-09-30T09:26:00.980Z","grant_id":null,"is_lead":false,"saved_state":{"id":1106,"name":"Genetics and Biochemistry Department, Clemson University, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2921,"fairsharing_record_id":2576,"organisation_id":533,"relation":"maintains","created_at":"2021-09-30T09:26:01.021Z","updated_at":"2021-09-30T09:26:01.021Z","grant_id":null,"is_lead":false,"saved_state":{"id":533,"name":"Clemson University Genomics Institute (CUGI), USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2919,"fairsharing_record_id":2576,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.938Z","updated_at":"2021-09-30T09:32:40.130Z","grant_id":1725,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"#1659300","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2562","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T12:46:22.000Z","updated_at":"2023-06-23T11:15:08.731Z","metadata":{"doi":"10.25504/FAIRsharing.mjq9vj","name":"Kaggle Datasets","status":"ready","contacts":[{"contact_name":"Rachael Tatman","contact_email":"racheal@kaggle.com","contact_orcid":"0000-0002-2590-8483"}],"homepage":"https://www.kaggle.com/datasets","citations":[],"identifier":2562,"description":"Kaggle Datasets is a public open data platform which combines data, users, discussions, and software. Datasets can be searched, bookmarked and explored via Kernels and discussions. All types of data are allowed. Individual users and organizations can register. Datasets can be published either privately or shared publicly.","abbreviation":"Kaggle Datasets","data_curation":{"type":"none"},"support_links":[{"url":"https://medium.com/kaggle-blog","name":"Kaggle Blog","type":"Blog/News"},{"url":"https://www.kaggle.com/contact","name":"Kaggle Contact and Support","type":"Contact form"},{"url":"https://www.kaggle.com/host","name":"Host a Competition","type":"Help documentation"},{"url":"https://www.kaggle.com/docs/datasets","name":"Datasets Documentation","type":"Help documentation"},{"url":"https://twitter.com/kaggle","name":"@kaggle","type":"Twitter"}],"data_versioning":"not found","associated_tools":[{"url":"https://github.com/Kaggle/kaggle-api/wiki/Dataset-Metadata","name":"Frictionless Data Package"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012705","name":"re3data:r3d100012705","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.kaggle.com/docs/datasets#creating-a-dataset","type":"open","notes":"Free acount is required for data submission."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001045","bsg-d001045"],"name":"FAIRsharing record for: Kaggle Datasets","abbreviation":"Kaggle Datasets","url":"https://fairsharing.org/10.25504/FAIRsharing.mjq9vj","doi":"10.25504/FAIRsharing.mjq9vj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Kaggle Datasets is a public open data platform which combines data, users, discussions, and software. Datasets can be searched, bookmarked and explored via Kernels and discussions. All types of data are allowed. Individual users and organizations can register. Datasets can be published either privately or shared publicly.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[{"licence_name":"Kaggle Privacy Policy","licence_id":473,"licence_url":"https://www.kaggle.com/about/privacy","link_id":824,"relation":"undefined"},{"licence_name":"Kaggle Terms of Use","licence_id":474,"licence_url":"https://www.kaggle.com/terms","link_id":834,"relation":"undefined"}],"grants":[{"id":2894,"fairsharing_record_id":2562,"organisation_id":1619,"relation":"maintains","created_at":"2021-09-30T09:26:00.135Z","updated_at":"2021-09-30T09:26:00.135Z","grant_id":null,"is_lead":true,"saved_state":{"id":1619,"name":"Kaggle Inc, California, USA","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2563","type":"fairsharing_records","attributes":{"created_at":"2018-02-14T13:50:54.000Z","updated_at":"2023-06-23T15:01:20.075Z","metadata":{"doi":"10.25504/FAIRsharing.4e2z82","name":"JRC Data Catalogue","status":"ready","homepage":"http://data.jrc.ec.europa.eu/","identifier":2563,"description":"The JRC Data Catalogue gives access to the multidisciplinary data produced and maintained by the Joint Research Centre, the European Commission's in-house science service providing independent scientific advice and support to policies of the European Union. NB: The JRC Data Catalogue is also included in scientific publishers' submission systems as \"European Commission, Joint Research Centre (JRC)\".","abbreviation":null,"data_curation":{"type":"none"},"support_links":[{"url":"http://data.jrc.ec.europa.eu/contact","name":"Contact us","type":"Contact form"}],"year_creation":2016,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012593","name":"re3data:r3d100012593","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001046","bsg-d001046"],"name":"FAIRsharing record for: JRC Data Catalogue","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4e2z82","doi":"10.25504/FAIRsharing.4e2z82","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JRC Data Catalogue gives access to the multidisciplinary data produced and maintained by the Joint Research Centre, the European Commission's in-house science service providing independent scientific advice and support to policies of the European Union. NB: The JRC Data Catalogue is also included in scientific publishers' submission systems as \"European Commission, Joint Research Centre (JRC)\".","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Engineering Science","Social Science","Natural Science","Life Science","Social and Behavioural Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["European Union"],"publications":[{"id":2304,"pubmed_id":null,"title":"The JRC Multidisciplinary Research Data Infrastructure","year":2017,"url":"http://doi.org/10.1145/3151759.3151810","authors":"Friis-Christensen, Anders; Perego, Andrea; Tsinaraki, Chrisa; Vaccari, Lorenzino","journal":"iiWAS '17: Proceedings of the 19th International Conference on Information Integration and Web-based Applications \u0026 Services","doi":"10.1145/3151759.3151810","created_at":"2021-09-30T08:26:42.586Z","updated_at":"2021-09-30T08:26:42.586Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2322,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2323,"relation":"undefined"},{"licence_name":"European Commission Reuse and Copyright Notice","licence_id":301,"licence_url":"https://ec.europa.eu/info/legal-notice_en#copyright-notice","link_id":2324,"relation":"undefined"}],"grants":[{"id":2895,"fairsharing_record_id":2563,"organisation_id":924,"relation":"maintains","created_at":"2021-09-30T09:26:00.167Z","updated_at":"2021-09-30T09:26:00.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":924,"name":"European Commission, Joint Research Centre (JRC)","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2564","type":"fairsharing_records","attributes":{"created_at":"2018-02-06T11:39:23.000Z","updated_at":"2023-10-18T09:03:22.373Z","metadata":{"doi":"10.25504/FAIRsharing.pn372d","name":"FlyGlycoDB","status":"ready","contacts":[{"contact_name":"Kiyoko F. Aoki-Kinoshita","contact_email":"kkiyoko@soka.ac.jp","contact_orcid":"0000-0002-6662-8015"}],"homepage":"https://glycosmos.org/flyglycodb","citations":[],"identifier":2564,"description":"The glycobiology of Drosophila has been extensively studied in recent years, and much information has accumulated regarding glycan-related genes and proteins in Drosophila. As a database for glycan-related genes in Drosophila, FlyGlycoDB provides specific access to this information.","abbreviation":"FlyGlycoDB","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/GlyCosmos","name":"@GlyCosmos","type":"Twitter"}],"year_creation":2009,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001047","bsg-d001047"],"name":"FAIRsharing record for: FlyGlycoDB","abbreviation":"FlyGlycoDB","url":"https://fairsharing.org/10.25504/FAIRsharing.pn372d","doi":"10.25504/FAIRsharing.pn372d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The glycobiology of Drosophila has been extensively studied in recent years, and much information has accumulated regarding glycan-related genes and proteins in Drosophila. As a database for glycan-related genes in Drosophila, FlyGlycoDB provides specific access to this information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics"],"domains":["Protein","Gene"],"taxonomies":["Drosophila"],"user_defined_tags":["Glycan Annotation","Glycan sequences"],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1171,"relation":"undefined"}],"grants":[{"id":2896,"fairsharing_record_id":2564,"organisation_id":1639,"relation":"maintains","created_at":"2021-09-30T09:26:00.199Z","updated_at":"2021-09-30T09:26:00.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":1639,"name":"Kinoshita Laboratory, Soka University, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2566","type":"fairsharing_records","attributes":{"created_at":"2018-02-14T22:07:21.000Z","updated_at":"2023-12-15T10:31:20.891Z","metadata":{"doi":"10.25504/FAIRsharing.3wwc0m","name":"Neotoma Paleoecology Database","status":"ready","contacts":[{"contact_name":"Simon Goring","contact_email":"goring@wisc.edu","contact_orcid":"0000-0002-2700-4605"}],"homepage":"https://www.neotomadb.org/","citations":[],"identifier":2566,"description":"The mission of the Neotoma Paleoecology Database is to provide a high-quality, community-curated, and sustainable public repository for paleoecological data, spanning the last 2.5 million years, including fossil pollen, mammal, diatom, ostracode, and geochemical data. Neotoma facilitates multi-scale, multi-disciplinary research and education. It is available for use by other data cooperatives that are welcome to develop their own individualized frontends to the database, as well as remotely input and update data. The Neotoma Paleoecology Database is an international coalition of constituent databases, and provides a common data model and user-oriented services for these constituent databases. Neotoma data are public and made freely available to all.","abbreviation":"Neotoma","data_curation":{"url":"https://www.neotomadb.org/data/contribute-data","type":"manual"},"support_links":[{"url":"https://www.neotomadb.org/news","name":"News","type":"Blog/News"},{"url":"neotoma-contact@googlegroups.com","name":"Contact email","type":"Support email"},{"url":"https://groups.google.com/forum/#!forum/neotoma-updates","name":"NeotomaDB forum","type":"Forum"},{"url":"https://www.neotomadb.org/documents","name":"Documentation","type":"Help documentation"},{"url":"https://twitter.com/neotomadb","name":"neotomadb on twitter","type":"Twitter"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"https://cran.r-project.org/web/packages/neotoma/index.html","name":"neotoma R package 1.7.4"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011761","name":"re3data:r3d100011761","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002190","name":"SciCrunch:RRID:SCR_002190","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.neotomadb.org/data/contribute-data","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001049","bsg-d001049"],"name":"FAIRsharing record for: Neotoma Paleoecology Database","abbreviation":"Neotoma","url":"https://fairsharing.org/10.25504/FAIRsharing.3wwc0m","doi":"10.25504/FAIRsharing.3wwc0m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The mission of the Neotoma Paleoecology Database is to provide a high-quality, community-curated, and sustainable public repository for paleoecological data, spanning the last 2.5 million years, including fossil pollen, mammal, diatom, ostracode, and geochemical data. Neotoma facilitates multi-scale, multi-disciplinary research and education. It is available for use by other data cooperatives that are welcome to develop their own individualized frontends to the database, as well as remotely input and update data. The Neotoma Paleoecology Database is an international coalition of constituent databases, and provides a common data model and user-oriented services for these constituent databases. Neotoma data are public and made freely available to all.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Paleontology","Geography","Ecology","Natural Science","Earth Science","Life Science","Natural History"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":["Paleolimnology"],"countries":["United States"],"publications":[{"id":2227,"pubmed_id":null,"title":"The Neotoma Paleoecology Database, a multiproxy, international, community-curated data resource","year":2018,"url":"http://doi.org/10.1017/qua.2017.105","authors":"J. W. Williams et al.","journal":"Quaternary Research","doi":"10.1017/qua.2017.105","created_at":"2021-09-30T08:26:30.916Z","updated_at":"2021-09-30T08:26:30.916Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2176,"relation":"undefined"}],"grants":[{"id":2897,"fairsharing_record_id":2566,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.223Z","updated_at":"2021-09-30T09:26:00.223Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2568","type":"fairsharing_records","attributes":{"created_at":"2018-02-20T11:40:17.000Z","updated_at":"2023-12-15T10:31:45.379Z","metadata":{"doi":"10.25504/FAIRsharing.9btkvp","name":"Online Resource for Community Annotation of Eukaryotes","status":"ready","contacts":[{"contact_name":"Lieven Sterck","contact_email":"lieven.sterck@psb.vib-ugent.be","contact_orcid":"0000-0001-7116-4000"}],"homepage":"http://bioinformatics.psb.ugent.be/orcae/","identifier":2568,"description":"The Online Resource for Community Annotation of Eukaryotes (ORCAE) is an online genome annotation resource offering users the necessary tools and information to validate and correct gene annotations. It is a gene-centric wiki-style annotation portal offering public access to a wide variety of plant, fungal and animal genomes. The basic setup of ORCAE is highly comparable to wiki systems such as MediaWiki, and the information page for each gene can be seen as a ‘topic’ page of a traditional text wiki.","abbreviation":"ORCAE","data_curation":{"type":"manual/automated","notes":"Genes are annotated via EuGene Automatic Predictions and/or manual annotations."},"support_links":[{"url":"beg-orcae@psb.vib-ugent.be","name":"BEG-orcae Support Email","type":"Support email"}],"year_creation":2012,"data_versioning":"yes","data_access_condition":{"type":"open","notes":"Free login is required to access some data."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://bioinformatics.psb.ugent.be/orcae/","type":"controlled","notes":"Only user acounts with editing rights can edit gene informations."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001051","bsg-d001051"],"name":"FAIRsharing record for: Online Resource for Community Annotation of Eukaryotes","abbreviation":"ORCAE","url":"https://fairsharing.org/10.25504/FAIRsharing.9btkvp","doi":"10.25504/FAIRsharing.9btkvp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Online Resource for Community Annotation of Eukaryotes (ORCAE) is an online genome annotation resource offering users the necessary tools and information to validate and correct gene annotations. It is a gene-centric wiki-style annotation portal offering public access to a wide variety of plant, fungal and animal genomes. The basic setup of ORCAE is highly comparable to wiki systems such as MediaWiki, and the information page for each gene can be seen as a ‘topic’ page of a traditional text wiki.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12799}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Genome annotation"],"taxonomies":["Eukaryota"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":2212,"pubmed_id":23132114,"title":"ORCAE: online resource for community annotation of eukaryotes.","year":2012,"url":"http://doi.org/10.1038/nmeth.2242","authors":"Sterck L,Billiau K,Abeel T,Rouze P,Van de Peer Y","journal":"Nat Methods","doi":"10.1038/nmeth.2242","created_at":"2021-09-30T08:26:29.323Z","updated_at":"2021-09-30T08:26:29.323Z"}],"licence_links":[],"grants":[{"id":2900,"fairsharing_record_id":2568,"organisation_id":3184,"relation":"maintains","created_at":"2021-09-30T09:26:00.299Z","updated_at":"2021-09-30T09:26:00.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":3184,"name":"VIB-UGent Center for Plant Systems Biology, Ghent, Belgium","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2899,"fairsharing_record_id":2568,"organisation_id":736,"relation":"maintains","created_at":"2021-09-30T09:26:00.272Z","updated_at":"2021-09-30T09:26:00.272Z","grant_id":null,"is_lead":false,"saved_state":{"id":736,"name":"Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2569","type":"fairsharing_records","attributes":{"created_at":"2018-02-27T10:59:31.000Z","updated_at":"2023-12-15T10:31:23.146Z","metadata":{"name":"UCAR Digital Asset Services Hub","status":"in_development","contacts":[{"contact_name":"UCAR DASH Helpdesk","contact_email":"datahelp@ucar.edu"}],"homepage":"https://data.ucar.edu/","citations":[],"identifier":2569,"description":"A beta version of the UCAR data asset search. Metadata is compiled from a number of data repositories managed by UCAR into the DASH Search to support cross-organizational data searches.","abbreviation":"DASH Search","data_curation":{"type":"not found"},"support_links":[{"url":"https://data.ucar.edu/about","name":"About","type":"Help documentation"}],"year_creation":2018,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001052","bsg-d001052"],"name":"FAIRsharing record for: UCAR Digital Asset Services Hub","abbreviation":"DASH Search","url":"https://fairsharing.org/fairsharing_records/2569","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A beta version of the UCAR data asset search. Metadata is compiled from a number of data repositories managed by UCAR into the DASH Search to support cross-organizational data searches.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Earth Science","Atmospheric Science"],"domains":["Climate"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"UCAR Notification Copyright Infringement Digital Millenium Copyright Act","licence_id":798,"licence_url":"https://www.ucar.edu/notification-copyright-infringement-digital-millenium-copyright-act","link_id":1208,"relation":"undefined"},{"licence_name":"UCAR Privacy Policy","licence_id":799,"licence_url":"https://www.ucar.edu/privacy-notice","link_id":1116,"relation":"undefined"},{"licence_name":"UCAR Terms of Use","licence_id":800,"licence_url":"https://www.ucar.edu/terms-of-use","link_id":1122,"relation":"undefined"}],"grants":[{"id":2902,"fairsharing_record_id":2569,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:00.353Z","updated_at":"2021-09-30T09:26:00.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2901,"fairsharing_record_id":2569,"organisation_id":3000,"relation":"maintains","created_at":"2021-09-30T09:26:00.323Z","updated_at":"2021-09-30T09:26:00.323Z","grant_id":null,"is_lead":true,"saved_state":{"id":3000,"name":"University Corporation for Atmospheric Research (UCAR), Boulder, CO, USA","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2581","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T20:56:09.000Z","updated_at":"2023-12-15T10:31:58.817Z","metadata":{"doi":"10.25504/FAIRsharing.fYFurb","name":"PeanutBase","status":"ready","contacts":[{"contact_name":"Ethalinda Cannon","contact_email":"ekcannon@iastate.edu","contact_orcid":"0000-0002-0678-8754"}],"homepage":"https://peanutbase.org/","identifier":2581,"description":"Large-scale genomic data for the peanut have only become available in the last few years, with the advent of low-cost sequencing technologies. To make the data accessible to researchers and to integrate across diverse types of data, the International Peanut Genomics Consortium funded the development of PeanutBase. This database provides access to genetic maps and markers, locations of quantitative trait loci (QTLs), genome sequences, gene locations and sequences, gene families and correspondences with genes in other species, and descriptions of traits and growth characteristics. It also provides tools for exploration and analysis, including sequence of genomic and genic sequences, and keyword searches of genes, gene families, and QTL studies. These resources should facilitate breeding advancements in peanut, helping improve crop productivity and there are a variety of resources for peanut research around the web, ranging from tools for basic plant biology to information for growers and various sectors of the peanut industry to resources for plant breeders.","abbreviation":"PeanutBase","data_curation":{"type":"not found"},"support_links":[{"url":"https://peanutbase.org/contact","name":"PeanutBase Contact Form","type":"Contact form"},{"url":"https://peanutbase.org/help","name":"Site Overview and Guide","type":"Help documentation"},{"url":"https://peanutbase.org/germplasm","name":"Germplasm Resources at PeanutBase","type":"Help documentation"},{"url":"https://peanutbase.org/traits_maps","name":"Traits and Maps Related Resources","type":"Help documentation"}],"year_creation":2013,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012355","name":"re3data:r3d100012355","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001064","bsg-d001064"],"name":"FAIRsharing record for: PeanutBase","abbreviation":"PeanutBase","url":"https://fairsharing.org/10.25504/FAIRsharing.fYFurb","doi":"10.25504/FAIRsharing.fYFurb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Large-scale genomic data for the peanut have only become available in the last few years, with the advent of low-cost sequencing technologies. To make the data accessible to researchers and to integrate across diverse types of data, the International Peanut Genomics Consortium funded the development of PeanutBase. This database provides access to genetic maps and markers, locations of quantitative trait loci (QTLs), genome sequences, gene locations and sequences, gene families and correspondences with genes in other species, and descriptions of traits and growth characteristics. It also provides tools for exploration and analysis, including sequence of genomic and genic sequences, and keyword searches of genes, gene families, and QTL studies. These resources should facilitate breeding advancements in peanut, helping improve crop productivity and there are a variety of resources for peanut research around the web, ranging from tools for basic plant biology to information for growers and various sectors of the peanut industry to resources for plant breeders.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11512},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11632}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Agriculture","Life Science"],"domains":["Genetic map","Genetic marker","Phenotype","Quantitative trait loci"],"taxonomies":["Arachis","Arachis duranensis","Arachis hypogaea","Arachis ipaensis"],"user_defined_tags":["Marker Assisted Selection","Plant Phenotypes and Traits"],"countries":["United States"],"publications":[{"id":1149,"pubmed_id":null,"title":"PeanutBase and Other Bioinformatic Resources for Peanut","year":2016,"url":"http://doi.org/10.1016/B978-1-63067-038-2.00008-3","authors":"Sudhansu Dash, Ethalinda K.S. Cannon, Scott R. Kalberer, Andrew D. Farmer and Steven B. Cannon","journal":"Chapter 8, In Peanuts Genetics, Processing, and Utilization, edited by H. Thomas Stalker and Richard F. Wilson, AOCS Press, Pages 241-252. (ISBN 9781630670382)","doi":"10.1016/B978-1-63067-038-2.00008-3","created_at":"2021-09-30T08:24:27.732Z","updated_at":"2021-09-30T08:24:27.732Z"}],"licence_links":[{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":818,"relation":"undefined"}],"grants":[{"id":2941,"fairsharing_record_id":2581,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:01.590Z","updated_at":"2021-09-30T09:26:01.590Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9173,"fairsharing_record_id":2581,"organisation_id":1963,"relation":"maintains","created_at":"2022-04-11T12:07:19.473Z","updated_at":"2022-04-11T12:07:19.473Z","grant_id":null,"is_lead":true,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2582","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T21:17:06.000Z","updated_at":"2023-12-15T10:31:40.084Z","metadata":{"doi":"10.25504/FAIRsharing.5a2c61","name":"Planosphere","status":"ready","contacts":[{"contact_name":"Planosphere Helpdesk","contact_email":"planosphere@stowers.org"}],"homepage":"https://planosphere.stowers.org/","identifier":2582,"description":"Planosphere is a Schmidtea mediterranea (freshwater triclad) molecular staging resource and atlas used for comparative studies of embryogenesis and regeneration.","abbreviation":"Planosphere","data_curation":{"url":"https://github.com/planosphere/PAGE/blob/master/curation_rules.md","type":"manual"},"support_links":[{"url":"https://planosphere.stowers.org/staging","name":"Molecular Staging Resource","type":"Help documentation"},{"url":"https://planosphere.stowers.org/crashcourse","name":"Planarian Embryogenesis Crash Course","type":"Training documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://planosphere.stowers.org/search/rosetta-stone-transcript-mapper","name":"Rosetta Stone Transcription Mapper"},{"url":"https://planosphere.stowers.org/heatmap","name":"Custom Heat Map Generator"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://github.com/planosphere/PAGE/blob/master/PAGE_annotator_instruction.md","type":"open","notes":"Only published data can be entered"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001065","bsg-d001065"],"name":"FAIRsharing record for: Planosphere","abbreviation":"Planosphere","url":"https://fairsharing.org/10.25504/FAIRsharing.5a2c61","doi":"10.25504/FAIRsharing.5a2c61","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Planosphere is a Schmidtea mediterranea (freshwater triclad) molecular staging resource and atlas used for comparative studies of embryogenesis and regeneration.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11513}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy","Developmental Biology","Embryology","Life Science"],"domains":["Organelle","Organ","Tissue"],"taxonomies":["Schmidtea mediterranea"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1170,"pubmed_id":28072387,"title":"Embryonic origin of adult stem cells required for tissue homeostasis and regeneration.","year":2017,"url":"http://doi.org/10.7554/eLife.21052","authors":"Davies EL,Lei K,Seidel CW,Kroesen AE,McKinney SA,Guo L,Robb SM,Ross EJ,Gotting K,Alvarado AS","journal":"Elife","doi":"10.7554/eLife.21052","created_at":"2021-09-30T08:24:30.018Z","updated_at":"2021-09-30T08:24:30.018Z"}],"licence_links":[{"licence_name":"Stowers Institute Privacy Policy","licence_id":760,"licence_url":"https://www.stowers.org/privacy-policy","link_id":1723,"relation":"undefined"},{"licence_name":"Stowers Institute Terms of Use","licence_id":761,"licence_url":"https://www.stowers.org/terms","link_id":1724,"relation":"undefined"}],"grants":[{"id":2942,"fairsharing_record_id":2582,"organisation_id":1267,"relation":"funds","created_at":"2021-09-30T09:26:01.616Z","updated_at":"2021-09-30T09:26:01.616Z","grant_id":null,"is_lead":false,"saved_state":{"id":1267,"name":"Howard Hughes Medical Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2943,"fairsharing_record_id":2582,"organisation_id":2648,"relation":"maintains","created_at":"2021-09-30T09:26:01.641Z","updated_at":"2021-09-30T09:26:01.641Z","grant_id":null,"is_lead":false,"saved_state":{"id":2648,"name":"Stowers Institute for Medical Research, Kansas City, MO, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2590","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T16:16:20.000Z","updated_at":"2022-07-20T10:30:07.697Z","metadata":{"doi":"10.25504/FAIRsharing.hjxSpv","name":"SuperDRUG2 - A One Stop Resource for Approved/Marketed Drugs","status":"deprecated","contacts":[],"homepage":"http://cheminfo.charite.de/superdrug2/","citations":[],"identifier":2590,"description":"SuperDRUG2, an update of the previous SuperDrug database, is a unique, one-stop resource for approved/marketed drugs, containing more than 4,600 active pharmaceutical ingredients. Drugs are annotated with regulatory details, chemical structures (2D and 3D), dosage, biological targets, physicochemical properties, external identifiers, side-effects and pharmacokinetic data. Different search mechanisms allow navigation through the chemical space of approved drugs. A 2D chemical structure search is provided in addition to a 3D superposition feature that superposes a drug with ligands already known to be found in the experimentally determined protein-ligand complexes. For the first time, we introduced simulation of \"physiologically-based\" pharmacokinetics of drugs. Our interaction check feature not only identifies potential drug-drug interactions but also provides alternative recommendations for elderly patients. Drug structures (2D and 3D), links to external registries (e.g. WHO ATC) and drug/compound databases (e.g. DrugBank, ChEMBL, PubChem), physicochemical properties are provided for download.","abbreviation":"SuperDRUG2","data_curation":{"type":"not found"},"support_links":[{"url":"http://cheminfo.charite.de/superdrug2/faq.html","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://cheminfo.charite.de/superdrug2/statistics.html","name":"Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"http://cheminfo.charite.de/superdrug2/pharmacokinetics.jsp","name":"Pharmacokinetics Simulation"},{"url":"http://cheminfo.charite.de/superdrug2/superpose_3d.html","name":"3D Superposition"}],"deprecation_date":"2022-05-18","deprecation_reason":"The homepage for this resource no longer exists, and a new project page cannot be found. Please let us know if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001073","bsg-d001073"],"name":"FAIRsharing record for: SuperDRUG2 - A One Stop Resource for Approved/Marketed Drugs","abbreviation":"SuperDRUG2","url":"https://fairsharing.org/10.25504/FAIRsharing.hjxSpv","doi":"10.25504/FAIRsharing.hjxSpv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SuperDRUG2, an update of the previous SuperDrug database, is a unique, one-stop resource for approved/marketed drugs, containing more than 4,600 active pharmaceutical ingredients. Drugs are annotated with regulatory details, chemical structures (2D and 3D), dosage, biological targets, physicochemical properties, external identifiers, side-effects and pharmacokinetic data. Different search mechanisms allow navigation through the chemical space of approved drugs. A 2D chemical structure search is provided in addition to a 3D superposition feature that superposes a drug with ligands already known to be found in the experimentally determined protein-ligand complexes. For the first time, we introduced simulation of \"physiologically-based\" pharmacokinetics of drugs. Our interaction check feature not only identifies potential drug-drug interactions but also provides alternative recommendations for elderly patients. Drug structures (2D and 3D), links to external registries (e.g. WHO ATC) and drug/compound databases (e.g. DrugBank, ChEMBL, PubChem), physicochemical properties are provided for download.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11796}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Health Science","Chemistry","Pharmacology","Biomedical Science"],"domains":["Chemical structure","Small molecule","Adverse Reaction","Drug interaction","Approved drug"],"taxonomies":["Not applicable"],"user_defined_tags":["Drug Target"],"countries":["Germany"],"publications":[{"id":2114,"pubmed_id":29140469,"title":"SuperDRUG2: a one stop resource for approved/marketed drugs","year":2017,"url":"http://doi.org/10.1093/nar/gkx1088","authors":"Siramshetty VB, Eckert OA, Gohlke BO, Goede A, Chen Q, Devarakonda P, Preissner S, Preissner R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1088","created_at":"2021-09-30T08:26:18.365Z","updated_at":"2021-09-30T08:26:18.365Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":1571,"relation":"undefined"}],"grants":[{"id":2956,"fairsharing_record_id":2590,"organisation_id":494,"relation":"funds","created_at":"2021-09-30T09:26:01.974Z","updated_at":"2021-09-30T09:26:01.974Z","grant_id":null,"is_lead":false,"saved_state":{"id":494,"name":"Charite - University Medicine Berlin, Berlin, Germany","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2591","type":"fairsharing_records","attributes":{"created_at":"2018-03-07T14:03:45.000Z","updated_at":"2023-12-15T10:32:08.931Z","metadata":{"doi":"10.25504/FAIRsharing.IziuCK","name":"Animal Trait Correlation Database","status":"ready","contacts":[{"contact_name":"Zhiliang Hu","contact_email":"zhu@iastate.edu","contact_orcid":"0000-0002-6704-7538"}],"homepage":"https://www.animalgenome.org/cgi-bin/CorrDB/index","citations":[],"identifier":2591,"description":"A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies","abbreviation":"CorrDB","data_curation":{"type":"manual"},"support_links":[{"url":"https://www.animalgenome.org/bioinfo/services/helpdesk","name":"Help Desk","type":"Contact form"},{"url":"https://www.animalgenome.org/CorrDB/faq","name":"CorrDB FAQ","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011496","name":"re3data:r3d100011496","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.animalgenome.org/CorrDB/app","type":"open","notes":"Registering for a free curator account is required to contribute."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001074","bsg-d001074"],"name":"FAIRsharing record for: Animal Trait Correlation Database","abbreviation":"CorrDB","url":"https://fairsharing.org/10.25504/FAIRsharing.IziuCK","doi":"10.25504/FAIRsharing.IziuCK","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A genetic correlation is the proportion of shared variance between two traits that is due to genetic causes; a phenotypic correlation is the degree to which two traits co-vary among individuals in a population. In the genomics era, while gene expression, genetic association, and network analysis provide unprecedented means to decode the genetic basis of complex phenotypes, it is important to recognize the possible effects genetic progress in one trait can have on other traits. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11639}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Animal Genetics","Genetics","Life Science","Systems Biology"],"domains":["Network model","Phenotype","Genotype"],"taxonomies":["Bos taurus","Gallus gallus","Ovis aries","Sus scrofa"],"user_defined_tags":["Livestock"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2958,"fairsharing_record_id":2591,"organisation_id":1545,"relation":"maintains","created_at":"2021-09-30T09:26:02.025Z","updated_at":"2021-09-30T09:26:02.025Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2592","type":"fairsharing_records","attributes":{"created_at":"2018-03-08T06:54:54.000Z","updated_at":"2023-06-22T17:25:28.710Z","metadata":{"doi":"10.25504/FAIRsharing.qqFfXF","name":"BioInformatics Platform for Agroecosystem Arthropods","status":"ready","contacts":[{"contact_name":"BIPAA Helpdesk","contact_email":"bipaa@inra.fr"}],"homepage":"https://bipaa.genouest.org","identifier":2592,"description":"BIPAA is a central platform to assist genomics and post-genomics programs developed on insects associated to agroecosystem, for the Plant Health and Environment Division of INRA. We provide online access to genomic data for multiple arthropod species. We also aim to settle an environment allowing a large community to elaborate complex genomics analyses, browsing, mixing or crossing heterogeneous data. BIPAA created and manages information systems dedicated to genomic data: AphidBase (dedicated to aphids), LepidoDB (dedicated to lepidopteran) and ParWaspDB (dedicated to parasitoid wasps).","abbreviation":"BIPAA","data_curation":{"type":"not found"},"support_links":[{"url":"https://bipaa.genouest.org/is/bipaa/about/","name":"About BIPAA","type":"Help documentation"},{"url":"https://bipaa.genouest.org/is/how-to-annotate-a-genome/","name":"Annotation Guidelines","type":"Help documentation"},{"url":"https://bipaa.genouest.org/is/news/","name":"News","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://bipaa.genouest.org/is/","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001075","bsg-d001075"],"name":"FAIRsharing record for: BioInformatics Platform for Agroecosystem Arthropods","abbreviation":"BIPAA","url":"https://fairsharing.org/10.25504/FAIRsharing.qqFfXF","doi":"10.25504/FAIRsharing.qqFfXF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BIPAA is a central platform to assist genomics and post-genomics programs developed on insects associated to agroecosystem, for the Plant Health and Environment Division of INRA. We provide online access to genomic data for multiple arthropod species. We also aim to settle an environment allowing a large community to elaborate complex genomics analyses, browsing, mixing or crossing heterogeneous data. BIPAA created and manages information systems dedicated to genomic data: AphidBase (dedicated to aphids), LepidoDB (dedicated to lepidopteran) and ParWaspDB (dedicated to parasitoid wasps).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science","Biology"],"domains":[],"taxonomies":["Arthropoda","Hemiptera","Hymenoptera","Insecta","Lepidoptera"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[],"grants":[{"id":2959,"fairsharing_record_id":2592,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:26:02.049Z","updated_at":"2021-09-30T09:26:02.049Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2593","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T09:38:48.000Z","updated_at":"2022-07-20T12:22:26.873Z","metadata":{"name":"Arabidopsis Information Portal","status":"deprecated","contacts":[{"contact_name":"Araport Helpdesk","contact_email":"araport@jcvi.org"}],"homepage":"https://www.araport.org/","identifier":2593,"description":"The Arabidopsis Information Portal (Araport) is an open-access online community resource for Arabidopsis research. Araport enables biologists to navigate from the Arabidopsis thaliana Col-0 reference genome sequence to its associated annotation including gene structure, gene expression, protein function, and interaction networks. Araport offers gene and protein reports with orthology, expression, interactions and the latest annotation, plus analysis tools, community apps, and web services. Araport is free and open-source. Registered members can save their analysis, publish science apps, and post announcements.","abbreviation":"Araport","data_curation":{"type":"not found"},"support_links":[{"url":"https://gcv-arabidopsis.ncgr.org/instructions","type":"Help documentation"},{"url":"https://github.com/Arabidopsis-Information-Portal","name":"Araport GitHub Repository","type":"Github"},{"url":"https://twitter.com/araport","name":"@araport","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[{"url":"https://apps.araport.org/thalemine","name":"InterMine"}],"deprecation_date":"2021-9-21","deprecation_reason":"This data from this resource are now available as part of other repositories.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001076","bsg-d001076"],"name":"FAIRsharing record for: Arabidopsis Information Portal","abbreviation":"Araport","url":"https://fairsharing.org/fairsharing_records/2593","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Arabidopsis Information Portal (Araport) is an open-access online community resource for Arabidopsis research. Araport enables biologists to navigate from the Arabidopsis thaliana Col-0 reference genome sequence to its associated annotation including gene structure, gene expression, protein function, and interaction networks. Araport offers gene and protein reports with orthology, expression, interactions and the latest annotation, plus analysis tools, community apps, and web services. Araport is free and open-source. Registered members can save their analysis, publish science apps, and post announcements.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11640}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Genomics","Life Science"],"domains":["Gene functional annotation","Network model","Gene expression","Molecular interaction","Protein","Orthologous","Genome"],"taxonomies":["Arabidopsis thaliana"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2235,"pubmed_id":27862469,"title":"Araport11: a complete reannotation of the Arabidopsis thaliana reference genome.","year":2016,"url":"http://doi.org/10.1111/tpj.13415","authors":"Cheng CY,Krishnakumar V,Chan AP,Thibaud-Nissen F,Schobel S,Town CD","journal":"Plant J","doi":"10.1111/tpj.13415","created_at":"2021-09-30T08:26:31.865Z","updated_at":"2021-09-30T08:26:31.865Z"},{"id":2249,"pubmed_id":28013278,"title":"ThaleMine: A Warehouse for Arabidopsis Data Integration and Discovery.","year":2016,"url":"http://doi.org/10.1093/pcp/pcw200","authors":"Krishnakumar V,Contrino S,Cheng CY,Belyaeva I,Ferlanti ES,Miller JR,Vaughn MW,Micklem G,Town CD,Chan AP","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcw200","created_at":"2021-09-30T08:26:33.551Z","updated_at":"2021-09-30T08:26:33.551Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":434,"relation":"undefined"}],"grants":[{"id":2960,"fairsharing_record_id":2593,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:26:02.074Z","updated_at":"2021-09-30T09:26:02.074Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2961,"fairsharing_record_id":2593,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:02.099Z","updated_at":"2021-09-30T09:32:47.472Z","grant_id":1779,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"DBI-1262414","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2962,"fairsharing_record_id":2593,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:02.124Z","updated_at":"2021-09-30T09:30:18.828Z","grant_id":651,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","grant":"BB/L027151/1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2553","type":"fairsharing_records","attributes":{"created_at":"2018-02-03T20:06:41.000Z","updated_at":"2023-12-15T10:32:21.360Z","metadata":{"doi":"10.25504/FAIRsharing.4vsxkr","name":"Climate Data Guide","status":"ready","homepage":"https://climatedataguide.ucar.edu","identifier":2553,"description":"The Climate Data Guide provides concise and reliable information on the strengths and limitations of the key observational data sets, tools and methods used to evaluate Earth system models and to understand the climate system. Citable expert commentaries are authored by experienced data users and developers, enabling scientists to multiply the impacts of their work and the diverse user community to access and understand the essential data. The Climate Data Guide was named an exemplary community resource by the 2012 U.S. National Academies' report, A National Strategy for Advancing Climate Modeling, and is an element of the strategic plan for NCAR's Climate and Global Dynamics Laboratory. NCAR, the National Center for Atmospheric Research, is located in Boulder, Colorado and is widely respected as a leading institution in the atmospheric and related sciences.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://climatedataguide.ucar.edu/content/suggestcontact","name":"Contact and Feedback","type":"Contact form"},{"url":"https://climatedataguide.ucar.edu/climate-model-evaluation","name":"Climate Model Evaluation","type":"Help documentation"},{"url":"https://climatedataguide.ucar.edu/experts","name":"Expert Contributors","type":"Help documentation"},{"url":"https://climatedataguide.ucar.edu/about","name":"About the Climate Data Guide","type":"Help documentation"}],"year_creation":2012,"data_versioning":"yes","associated_tools":[{"url":"https://climatedataguide.ucar.edu/climate-data-tools-and-analysis","name":"Analysis Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012500","name":"re3data:r3d100012500","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://climatedataguide.ucar.edu/about/get-involved","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001036","bsg-d001036"],"name":"FAIRsharing record for: Climate Data Guide","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.4vsxkr","doi":"10.25504/FAIRsharing.4vsxkr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Climate Data Guide provides concise and reliable information on the strengths and limitations of the key observational data sets, tools and methods used to evaluate Earth system models and to understand the climate system. Citable expert commentaries are authored by experienced data users and developers, enabling scientists to multiply the impacts of their work and the diverse user community to access and understand the essential data. The Climate Data Guide was named an exemplary community resource by the 2012 U.S. National Academies' report, A National Strategy for Advancing Climate Modeling, and is an element of the strategic plan for NCAR's Climate and Global Dynamics Laboratory. NCAR, the National Center for Atmospheric Research, is located in Boulder, Colorado and is widely respected as a leading institution in the atmospheric and related sciences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Earth Science","Atmospheric Science"],"domains":["Climate","Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2042,"pubmed_id":null,"title":"Climate Data Guide Spurs Discovery and Understanding","year":2013,"url":"http://doi.org/10.1002/2013EO130001","authors":"David P. Schneider, Clara Deser, John Fasullo, Kevin E. Trenb","journal":"EOS Earth and Space Science News","doi":"10.1002/2013EO130001","created_at":"2021-09-30T08:26:10.031Z","updated_at":"2021-09-30T08:26:10.031Z"}],"licence_links":[{"licence_name":"UCAR Privacy Policy","licence_id":799,"licence_url":"https://www.ucar.edu/privacy-notice","link_id":1958,"relation":"undefined"},{"licence_name":"UCAR Terms of Use","licence_id":800,"licence_url":"https://www.ucar.edu/terms-of-use","link_id":1957,"relation":"undefined"}],"grants":[{"id":2876,"fairsharing_record_id":2553,"organisation_id":3000,"relation":"maintains","created_at":"2021-09-30T09:25:59.495Z","updated_at":"2021-09-30T09:25:59.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":3000,"name":"University Corporation for Atmospheric Research (UCAR), Boulder, CO, USA","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2877,"fairsharing_record_id":2553,"organisation_id":1957,"relation":"maintains","created_at":"2021-09-30T09:25:59.538Z","updated_at":"2021-09-30T09:25:59.538Z","grant_id":null,"is_lead":false,"saved_state":{"id":1957,"name":"National Center for Atmospheric Research (NCAR), Boulder, CO, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2878,"fairsharing_record_id":2553,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:59.575Z","updated_at":"2021-09-30T09:25:59.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2554","type":"fairsharing_records","attributes":{"created_at":"2018-01-10T17:42:18.000Z","updated_at":"2023-12-15T10:31:26.692Z","metadata":{"doi":"10.25504/FAIRsharing.kqbg3s","name":"Integrated Resource for Reproducibility in Macromolecular Crystallography","status":"ready","contacts":[{"contact_name":"Wladek Minor Lab","contact_email":"support@protein.diffraction.org","contact_orcid":"0000-0002-8072-4919"}],"homepage":"https://proteindiffraction.org","citations":[{"doi":"10.1107/S2059798316014716","pubmed_id":27841751,"publication_id":2094}],"identifier":2554,"description":"The Integrated Resource for Reproducibility in Macromolecular Crystallography (IRRMC) was created to make the raw data of protein crystallography more widely available. The IRRMC identifies, catalogs and provides metadata related to datasets that could be used to reprocess the original diffraction data. The intent of this project is to make the resulting three-dimensional structures more reproducible and easier to modify and improve as processing methods advance.","abbreviation":"IRRMC","data_curation":{"type":"not found"},"support_links":[{"url":"https://proteindiffraction.org/news/","name":"News","type":"Blog/News"},{"url":"https://proteindiffraction.org/statistics/","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012269","name":"re3data:r3d100012269","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://proteindiffraction.org/login/?next=/submit-data/select","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001037","bsg-d001037"],"name":"FAIRsharing record for: Integrated Resource for Reproducibility in Macromolecular Crystallography","abbreviation":"IRRMC","url":"https://fairsharing.org/10.25504/FAIRsharing.kqbg3s","doi":"10.25504/FAIRsharing.kqbg3s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Integrated Resource for Reproducibility in Macromolecular Crystallography (IRRMC) was created to make the raw data of protein crystallography more widely available. The IRRMC identifies, catalogs and provides metadata related to datasets that could be used to reprocess the original diffraction data. The intent of this project is to make the resulting three-dimensional structures more reproducible and easier to modify and improve as processing methods advance.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12797}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Protein structure","Experimental measurement","X-ray diffraction","X-ray crystallography assay","Experimentally determined"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["United States"],"publications":[{"id":645,"pubmed_id":31768399,"title":"The Integrated Resource for Reproducibility in Macromolecular Crystallography: Experiences of the first four years.","year":2019,"url":"http://doi.org/10.1063/1.5128672","authors":"Grabowski M,Cymborowski M,Porebski PJ,Osinski T,Shabalin IG,Cooper DR,Minor W","journal":"Struct Dyn","doi":"10.1063/1.5128672","created_at":"2021-09-30T08:23:30.994Z","updated_at":"2021-09-30T08:23:30.994Z"},{"id":2094,"pubmed_id":27841751,"title":"A public database of macromolecular diffraction experiments.","year":2016,"url":"http://doi.org/10.1107/S2059798316014716","authors":"Grabowski M,Langner KM,Cymborowski M,Porebski PJ,Sroka P,Zheng H,Cooper DR,Zimmerman MD,Elsliger MA,Burley SK,Minor W","journal":"Acta Crystallogr D Struct Biol","doi":"10.1107/S2059798316014716","created_at":"2021-09-30T08:26:15.982Z","updated_at":"2021-09-30T08:26:15.982Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2074,"relation":"undefined"}],"grants":[{"id":2879,"fairsharing_record_id":2554,"organisation_id":1877,"relation":"maintains","created_at":"2021-09-30T09:25:59.610Z","updated_at":"2021-09-30T09:25:59.610Z","grant_id":null,"is_lead":false,"saved_state":{"id":1877,"name":"Minor Lab at the University of Virginia, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2880,"fairsharing_record_id":2554,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:59.646Z","updated_at":"2021-09-30T09:32:48.781Z","grant_id":1786,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"Targeted Software Development Award 1 U01 HG008424-01","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2555","type":"fairsharing_records","attributes":{"created_at":"2018-02-04T20:42:40.000Z","updated_at":"2021-11-24T13:20:12.104Z","metadata":{"doi":"10.25504/FAIRsharing.v1knrj","name":"Dash","status":"deprecated","contacts":[{"contact_name":"University of California Curation Center Helpdesk","contact_email":"uc3@ucop.edu"}],"homepage":"https://dash.ucop.edu","identifier":2555,"description":"Dash is an open source, community driven project that takes a unique approach to data publication and digital preservation. Dash focuses on search, presentation, and discovery and delegates the responsibility for the data preservation function to the underlying repository with which it is integrated. Dash is based at the University of California Curation Center (UC3), a program at California Digital Library (CDL) that aims to develop interdisciplinary research data infrastructure. Dash employs a multi-tenancy user interface providing partners with extensive opportunities for local branding and customization, use of existing campus login credentials, and, importantly, offering the Dash service under a tenant-specific URL, an important consideration helping to drive adoption. We welcome collaborations with other organizations wishing to provide a simple, intuitive data publication service on top of more cumbersome legacy systems.","abbreviation":"Dash","data_curation":{"type":"not found"},"support_links":[{"url":"https://dash.ucop.edu/stash/faq/","name":"Dash FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://dash.ucop.edu/stash/help","name":"Help Page","type":"Help documentation"},{"url":"http://cdluc3.github.io/dash/","name":"GitHub Project","type":"Github"}],"data_versioning":"not found","deprecation_date":"2020-05-20","deprecation_reason":"This resource has sunsetted.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001038","bsg-d001038"],"name":"FAIRsharing record for: Dash","abbreviation":"Dash","url":"https://fairsharing.org/10.25504/FAIRsharing.v1knrj","doi":"10.25504/FAIRsharing.v1knrj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Dash is an open source, community driven project that takes a unique approach to data publication and digital preservation. Dash focuses on search, presentation, and discovery and delegates the responsibility for the data preservation function to the underlying repository with which it is integrated. Dash is based at the University of California Curation Center (UC3), a program at California Digital Library (CDL) that aims to develop interdisciplinary research data infrastructure. Dash employs a multi-tenancy user interface providing partners with extensive opportunities for local branding and customization, use of existing campus login credentials, and, importantly, offering the Dash service under a tenant-specific URL, an important consideration helping to drive adoption. We welcome collaborations with other organizations wishing to provide a simple, intuitive data publication service on top of more cumbersome legacy systems.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Data storage"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"California Digital Library (CDL) Privacy Policy","licence_id":91,"licence_url":"http://www.cdlib.org/about/privacy.html","link_id":88,"relation":"undefined"},{"licence_name":"California Digital Library (CDL) Terms of Use","licence_id":92,"licence_url":"http://www.cdlib.org/about/terms.html","link_id":57,"relation":"undefined"},{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":113,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":99,"relation":"undefined"}],"grants":[{"id":2881,"fairsharing_record_id":2555,"organisation_id":340,"relation":"maintains","created_at":"2021-09-30T09:25:59.687Z","updated_at":"2021-09-30T09:25:59.687Z","grant_id":null,"is_lead":false,"saved_state":{"id":340,"name":"California Digital Library (CDL), University of California, Oakland, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2586","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T10:17:55.000Z","updated_at":"2023-12-15T10:32:35.608Z","metadata":{"doi":"10.25504/FAIRsharing.d5BjMU","name":"MusaBase","status":"ready","contacts":[{"contact_name":"Guillaume Bauchet","contact_email":"gjb99@cornell.du"}],"homepage":"https://musabase.org/","identifier":2586,"description":"MusaBase is a breeding database designed for advanced breeding methods in banana breeding. It focuses on bananas that are important food crops in Africa, such as Mchare and Matooke bananas. Data in MusaBase comes mainly from breeding programs in Uganda (NARO Kawanda, IITA Sendusu) as well as Tanzania (IITA Arusha, newly located at Nelson Mandela University).","abbreviation":"MusaBase","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.facebook.com/solgenomics","name":"Facebook","type":"Facebook"},{"url":"https://musabase.org/contact/form","name":"Musabase Contact Form","type":"Contact form"},{"url":"https://musabase.org/help/faq.pl","name":"Musabase FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://musabase.org/forum/topics.pl","name":"Musabase forum","type":"Forum"},{"url":"https://docs.google.com/document/d/1ZJjxsarGqGTv4HgJTt-EodOoaEmJ3lgSeV0Qq_YKJaY","name":"User Manual","type":"Help documentation"},{"url":"sgn-announce@rubisco.sgn.cornell.edu","name":"Sol Genomics Network Announcement Mailing List","type":"Mailing list"},{"url":"https://fr.slideshare.net/solgenomics/musabase-pag-2018","name":"SlideShare","type":"Help documentation"},{"url":"https://twitter.com/solgenomics","name":"@solgenomics","type":"Twitter"}],"data_versioning":"not found","data_access_condition":{"type":"open","notes":"Free account is needed to access some data."},"data_contact_information":"yes","data_deposition_condition":{"url":"https://musabase.org/help/faq.pl","type":"open","notes":"Description of the data you would like to submit has to be sent via the Contact Form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001069","bsg-d001069"],"name":"FAIRsharing record for: MusaBase","abbreviation":"MusaBase","url":"https://fairsharing.org/10.25504/FAIRsharing.d5BjMU","doi":"10.25504/FAIRsharing.d5BjMU","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MusaBase is a breeding database designed for advanced breeding methods in banana breeding. It focuses on bananas that are important food crops in Africa, such as Mchare and Matooke bananas. Data in MusaBase comes mainly from breeding programs in Uganda (NARO Kawanda, IITA Sendusu) as well as Tanzania (IITA Arusha, newly located at Nelson Mandela University).","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11635}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Plant Breeding","Genomics","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Musa"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"2009 Toronto Statement on Benefits and Best Practices of Rapid Pre-Publication Data Release","licence_id":1,"licence_url":"https://dx.doi.org/10.1038%2F461168a","link_id":1621,"relation":"undefined"}],"grants":[{"id":2951,"fairsharing_record_id":2586,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:01.840Z","updated_at":"2021-09-30T09:26:01.840Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2589","type":"fairsharing_records","attributes":{"created_at":"2018-03-06T11:01:59.000Z","updated_at":"2023-12-15T10:30:06.029Z","metadata":{"doi":"10.25504/FAIRsharing.ejofJI","name":"Cassavabase","status":"ready","contacts":[{"contact_name":"Guillaume Bauchet","contact_email":"gjb99@cornell.edu"}],"homepage":"https://cassavabase.org","identifier":2589,"description":"Cassavabase is a database containing breeding data for Cassava (Manihot esculenta). Cassava is a major staple crop and the main source of calories for 500 million people across the globe. No other continent depends on cassava to feed as many people as does Africa. Cassava is indispensable to food security in Africa. It is a widely preferred and consumed staple, as well as a hardy crop that can be stored in the ground as a fall-back source of food that can save lives in times of famine. Despite the importance of cassava for food security on the African continent, it has received relatively little research and development attention compared to other staples such as wheat, rice and maize. The key to unlocking the full potential of cassava lies largely in bringing cassava breeding into the 21st century.","abbreviation":"Cassavabase","data_curation":{"type":"none"},"support_links":[{"url":"https://www.facebook.com/cassavabase/","name":"Facebook","type":"Facebook"},{"url":"https://cassavabase.org/contact/form","name":"Cassavabase Contact Form","type":"Contact form"},{"url":"https://cassavabase.org/help/faq.pl","name":"Cassavabase FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://cassavabase.org/forum/topics.pl","name":"Cassavabase Forum","type":"Forum"},{"url":"https://docs.google.com/document/d/1ZJjxsarGqGTv4HgJTt-EodOoaEmJ3lgSeV0Qq_YKJaY/edit","name":"User Manual","type":"Help documentation"},{"url":"https://github.com/solgenomics/cassava","name":"GitHub","type":"Github"},{"url":"https://fr.slideshare.net/solgenomics/1-introduction-to-cassavabase-57894179","name":"SlideShare introduction to cassavabase","type":"Help documentation"},{"url":"https://fr.slideshare.net/solgenomics/cassavabase-general-presentation-pag-2016","name":"SlideShare Cassavabase general presentation PAG 2016","type":"Help documentation"},{"url":"https://twitter.com/solgenomics","name":"@solgenomics","type":"Twitter"}],"year_creation":2012,"data_versioning":"not found","associated_tools":[{"url":"https://cassavabase.org/pca/analysis","name":"Population Structure Analysis"},{"url":"https://cassavabase.org/jbrowse_cassavabase/?data=data/json/hapmap_variants","name":"JBrowse"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013440","name":"re3data:r3d100013440","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://cassavabase.org/help/faq.pl","type":"controlled","notes":"Submission should be required via the contact form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001072","bsg-d001072"],"name":"FAIRsharing record for: Cassavabase","abbreviation":"Cassavabase","url":"https://fairsharing.org/10.25504/FAIRsharing.ejofJI","doi":"10.25504/FAIRsharing.ejofJI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Cassavabase is a database containing breeding data for Cassava (Manihot esculenta). Cassava is a major staple crop and the main source of calories for 500 million people across the globe. No other continent depends on cassava to feed as many people as does Africa. Cassava is indispensable to food security in Africa. It is a widely preferred and consumed staple, as well as a hardy crop that can be stored in the ground as a fall-back source of food that can save lives in times of famine. Despite the importance of cassava for food security on the African continent, it has received relatively little research and development attention compared to other staples such as wheat, rice and maize. The key to unlocking the full potential of cassava lies largely in bringing cassava breeding into the 21st century.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11638},{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16726}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Plant Breeding","Genomics","Agriculture","Life Science"],"domains":[],"taxonomies":["Manihot esculenta"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1263,"pubmed_id":25428362,"title":"The Sol Genomics Network (SGN)--from genotype to phenotype to breeding.","year":2014,"url":"http://doi.org/10.1093/nar/gku1195","authors":"Fernandez-Pozo N,Menda N,Edwards JD,Saha S,Tecle IY,Strickler SR,Bombarely A,Fisher-York T,Pujar A,Foerster H,Yan A,Mueller LA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1195","created_at":"2021-09-30T08:24:40.915Z","updated_at":"2021-09-30T11:29:04.434Z"}],"licence_links":[{"licence_name":"2009 Toronto Statement on Benefits and Best Practices of Rapid Pre-Publication Data Release","licence_id":1,"licence_url":"https://dx.doi.org/10.1038%2F461168a","link_id":1620,"relation":"undefined"}],"grants":[{"id":2955,"fairsharing_record_id":2589,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:01.948Z","updated_at":"2021-09-30T09:26:01.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2954,"fairsharing_record_id":2589,"organisation_id":614,"relation":"funds","created_at":"2021-09-30T09:26:01.916Z","updated_at":"2021-09-30T09:26:01.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":614,"name":"Cornell University, NY, USA","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2577","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T13:33:07.000Z","updated_at":"2024-04-11T10:22:39.543Z","metadata":{"doi":"10.25504/FAIRsharing.221d46","name":"Genome Database for Vaccinium","status":"ready","contacts":[],"homepage":"https://www.vaccinium.org/","citations":[],"identifier":2577,"description":"The amount of genetic research data for Vaccinium is steadily increasing and there is a need for a system that can organize, filter and provide analysis of the available research to be directly applied in breeding programs. The Genome Database for Vaccinium (GDV) is a curated and integrated web-based relational database. The GDV integrates genomic, genetic and breeding data for blueberry, cranberry and other Vaccinium species. The GDV includes Vaccinium genomes, annotated transcripts, traits, maps and markers.","abbreviation":"GDV","data_curation":{"url":"https://www.vaccinium.org/content/about","type":"manual"},"support_links":[{"url":"https://www.vaccinium.org/news/community","name":"News","type":"Blog/News"},{"url":"https://www.vaccinium.org/contact","name":"GDV Contact Form","type":"Contact form"},{"url":"https://www.vaccinium.org/userManual","name":"GDV User Manual","type":"Help documentation"},{"url":"gdv_news@bioinfo.wsu.edu","name":"GDV Mailing list","type":"Mailing list"},{"url":"https://www.vaccinium.org/content/about","name":"About GDV","type":"Help documentation"},{"url":"https://twitter.com/GDV_news","name":"@GDV_news","type":"Twitter"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://www.vaccinium.org/MapViewer","name":"MapViewer"},{"url":"https://www.vaccinium.org/blast","name":"BLAST+"},{"url":"https://www.vaccinium.org/bims","name":"Breeding Information Management System (BIMS)"},{"url":"https://www.vaccinium.org/jbrowses","name":"JBrowse"},{"url":"https://ptools.vaccinium.org/","name":"PathwayCyc"},{"url":"https://www.vaccinium.org/synview/search/","name":"Synteny Viewer"},{"url":"https://www.vaccinium.org/heatmap","name":"Expression Heatmap"}],"cross_references":[{"url":"https://www.fruitandnutlist.org/","name":"Fruit and Nut Cultivars Database","portal":"Other"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.vaccinium.org/data_submission","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001060","bsg-d001060"],"name":"FAIRsharing record for: Genome Database for Vaccinium","abbreviation":"GDV","url":"https://fairsharing.org/10.25504/FAIRsharing.221d46","doi":"10.25504/FAIRsharing.221d46","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The amount of genetic research data for Vaccinium is steadily increasing and there is a need for a system that can organize, filter and provide analysis of the available research to be directly applied in breeding programs. The Genome Database for Vaccinium (GDV) is a curated and integrated web-based relational database. The GDV integrates genomic, genetic and breeding data for blueberry, cranberry and other Vaccinium species. The GDV includes Vaccinium genomes, annotated transcripts, traits, maps and markers.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11508},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11630},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12801}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Genetics","Agriculture","Biology","Plant Genetics"],"domains":[],"taxonomies":["Vaccinium","Vaccinium corymbosum","Vaccinium darrowii","Vaccinium macrocarpon","Vaccinium microcarpum","Vaccinium oxycoccos","Vaccinium myrtillus"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"GDV disclaimer","licence_id":327,"licence_url":"https://www.vaccinium.org/content/disclaimer","link_id":1665,"relation":"undefined"}],"grants":[{"id":2923,"fairsharing_record_id":2577,"organisation_id":3219,"relation":"funds","created_at":"2021-09-30T09:26:01.111Z","updated_at":"2021-09-30T09:26:01.111Z","grant_id":null,"is_lead":false,"saved_state":{"id":3219,"name":"Washington State University, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2927,"fairsharing_record_id":2577,"organisation_id":2334,"relation":"funds","created_at":"2021-09-30T09:26:01.242Z","updated_at":"2021-09-30T09:26:01.242Z","grant_id":null,"is_lead":false,"saved_state":{"id":2334,"name":"Plants for Human Health Institute, North Carolina State University, USA","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2926,"fairsharing_record_id":2577,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:01.211Z","updated_at":"2021-09-30T09:28:54.267Z","grant_id":8,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"National Science Foundation (NSF) Plant Genome Research Program","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2924,"fairsharing_record_id":2577,"organisation_id":2017,"relation":"funds","created_at":"2021-09-30T09:26:01.141Z","updated_at":"2021-09-30T09:26:01.141Z","grant_id":null,"is_lead":false,"saved_state":{"id":2017,"name":"National Institute of Food and Agriculture (NIFA), US Department of Agriculture (USDA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2925,"fairsharing_record_id":2577,"organisation_id":1745,"relation":"maintains","created_at":"2021-09-30T09:26:01.170Z","updated_at":"2021-09-30T09:26:01.170Z","grant_id":null,"is_lead":false,"saved_state":{"id":1745,"name":"MainLab Bioinformatics, Washington State University, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2922,"fairsharing_record_id":2577,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:01.060Z","updated_at":"2021-09-30T09:29:27.197Z","grant_id":257,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","grant":"National Research Support Project (NRSP) 10","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa2dCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--565c80b8b4ebc7e95b65453c167a303b23b0dea6/GDVlogo_text.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2579","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T14:55:45.000Z","updated_at":"2023-10-18T16:26:56.571Z","metadata":{"doi":"10.25504/FAIRsharing.BZKHEH","name":"Legume Information System","status":"ready","contacts":[{"contact_name":"Steven B. Cannon","contact_email":"steven.cannon@ars.usda.gov","contact_orcid":"0000-0003-2777-8034"}],"homepage":"https://legumeinfo.org/","citations":[],"identifier":2579,"description":"The Legume Information System (LIS) is a collaborative, community resource to facilitate crop improvement by integrating genetic, genomic, and trait data across legume species.","abbreviation":"LIS","data_curation":{"type":"manual","notes":"User should contact resource managers directly to submit data, immediate manual curation"},"support_links":[{"url":"https://legumeinfo.org/contact","name":"LIS Contact Form","type":"Contact form"},{"url":"https://legumeinfo.org/help","name":"LIS Help Pages","type":"Help documentation"},{"url":"https://legumeinfo.org/germplasm","name":"Germplasm Resources","type":"Help documentation"},{"url":"https://legumeinfo.org/traits_maps","name":"Traits and Maps Available at LIS","type":"Help documentation"},{"url":"https://us13.list-manage.com/subscribe?u=ff3fe0b89e836dfc80515dd83\u0026id=2ef4c06119","name":"Newsletter","type":"Help documentation"},{"url":"https://twitter.com/legumefed","name":"@legumefed","type":"Twitter"}],"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"https://legumeinfo.org/annot","name":"Annotation Tool"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.legumeinfo.org/about/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001062","bsg-d001062"],"name":"FAIRsharing record for: Legume Information System","abbreviation":"LIS","url":"https://fairsharing.org/10.25504/FAIRsharing.BZKHEH","doi":"10.25504/FAIRsharing.BZKHEH","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Legume Information System (LIS) is a collaborative, community resource to facilitate crop improvement by integrating genetic, genomic, and trait data across legume species.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11510},{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11631}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Genomics","Genetics","Agriculture","Life Science"],"domains":["Phenotype"],"taxonomies":["Arachis duranensis","Arachis hypogaea","Arachis ipaensis","Cajanus cajan","Cicer arietinum","Glycine max","Lotus japonicus","Lupinus angustifolius","Medicago sativa","Medicago truncatula","Phaseolus vulgaris","Pisum sativum","Trifolium pratense","Trifolium repens","Vigna angularis","Vigna radiata","Vigna unguiculata"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United States"],"publications":[{"id":930,"pubmed_id":26546515,"title":"Legume information system (LegumeInfo.org): a key component of a set of federated data resources for the legume family.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1159","authors":"Dash S,Campbell JD,Cannon EK,Cleary AM,Huang W,Kalberer SR,Karingula V,Rice AG,Singh J,Umale PE,Weeks NT,Wilkey AP,Farmer AD,Cannon SB","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1159","created_at":"2021-09-30T08:24:02.866Z","updated_at":"2021-09-30T11:28:55.500Z"},{"id":936,"pubmed_id":15608283,"title":"The Legume Information System (LIS): an integrated information resource for comparative legume biology.","year":2004,"url":"http://doi.org/10.1093/nar/gki128","authors":"Gonzales MD,Archuleta E,Farmer A,Gajendran K,Grant D,Shoemaker R,Beavis WD,Waugh ME","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki128","created_at":"2021-09-30T08:24:03.560Z","updated_at":"2021-09-30T11:28:55.601Z"}],"licence_links":[],"grants":[{"id":2935,"fairsharing_record_id":2579,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:01.441Z","updated_at":"2021-09-30T09:26:01.441Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2934,"fairsharing_record_id":2579,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:01.416Z","updated_at":"2021-09-30T09:29:58.339Z","grant_id":493,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS-1444806","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2932,"fairsharing_record_id":2579,"organisation_id":1963,"relation":"maintains","created_at":"2021-09-30T09:26:01.365Z","updated_at":"2021-09-30T09:26:01.365Z","grant_id":null,"is_lead":false,"saved_state":{"id":1963,"name":"National Center for Genome Resources (NCGR), Santa Fe, NM, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2933,"fairsharing_record_id":2579,"organisation_id":2934,"relation":"maintains","created_at":"2021-09-30T09:26:01.391Z","updated_at":"2021-09-30T09:26:01.391Z","grant_id":null,"is_lead":false,"saved_state":{"id":2934,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Indiana, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2580","type":"fairsharing_records","attributes":{"created_at":"2018-03-01T19:38:54.000Z","updated_at":"2022-07-20T09:03:35.102Z","metadata":{"doi":"10.25504/FAIRsharing.5yH3KC","name":"Medicago truncatula Genome Database","status":"deprecated","contacts":[],"homepage":"https://www.jcvi.org/research/medicago-truncatula-genome-database","citations":[],"identifier":2580,"description":"Medicago truncatula, a close relative of alfalfa, is a preeminent model for the study of the processes of nitrogen fixation, symbiosis, and legume genomics. J. Craig Venter Institute (JCVI; formerly TIGR) has been involved in M. truncatula genome sequencing and annotation since 2002 and has maintained a web-based resource providing data to the community for this entire period. This database stores the latest version of the genome, associated data and legacy project information together with a set of open-source tools.","abbreviation":"MTGD","data_curation":{},"support_links":[{"url":"http://www.medicagogenome.org/contact","name":"MTGD Contact Form","type":"Contact form"},{"url":"http://www.medicagogenome.org/genomeDetail?block=feature_counts","name":"Feature Summary / Statistics","type":"Help documentation"},{"url":"http://www.medicagogenome.org/about/project-overview","name":"Project Overview","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","associated_tools":[{"url":"http://www.medicagogenome.org/tools/medicmine","name":"MedicMine"},{"url":"http://www.medicagogenome.org/tools/jbrowse","name":"JBrowse"},{"url":"http://www.medicagogenome.org/search/blast","name":"BLAST"}],"deprecation_date":"2022-06-28","deprecation_reason":"The project that created this repository is now completed.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001063","bsg-d001063"],"name":"FAIRsharing record for: Medicago truncatula Genome Database","abbreviation":"MTGD","url":"https://fairsharing.org/10.25504/FAIRsharing.5yH3KC","doi":"10.25504/FAIRsharing.5yH3KC","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Medicago truncatula, a close relative of alfalfa, is a preeminent model for the study of the processes of nitrogen fixation, symbiosis, and legume genomics. J. Craig Venter Institute (JCVI; formerly TIGR) has been involved in M. truncatula genome sequencing and annotation since 2002 and has maintained a web-based resource providing data to the community for this entire period. This database stores the latest version of the genome, associated data and legacy project information together with a set of open-source tools.","linked_records":[],"linking_records":[{"linking_record_name":"Tripal","linking_record_id":3516,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11511}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Genomics","Life Science"],"domains":["Genome annotation"],"taxonomies":["Medicago truncatula"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":953,"pubmed_id":25432968,"title":"MTGD: The Medicago truncatula genome database.","year":2014,"url":"http://doi.org/10.1093/pcp/pcu179","authors":"Krishnakumar V,Kim M,Rosen BD,Karamycheva S,Bidwell SL,Tang H,Town CD","journal":"Plant Cell Physiol","doi":"10.1093/pcp/pcu179","created_at":"2021-09-30T08:24:05.424Z","updated_at":"2021-09-30T08:24:05.424Z"}],"licence_links":[],"grants":[{"id":2936,"fairsharing_record_id":2580,"organisation_id":1597,"relation":"maintains","created_at":"2021-09-30T09:26:01.465Z","updated_at":"2021-09-30T09:26:01.465Z","grant_id":null,"is_lead":false,"saved_state":{"id":1597,"name":"J. Craig Venter Institute (JCVI), La Jolla, CA, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2938,"fairsharing_record_id":2580,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:01.516Z","updated_at":"2021-09-30T09:29:58.355Z","grant_id":493,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"IOS-1444806","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9097,"fairsharing_record_id":2580,"organisation_id":3275,"relation":"funds","created_at":"2022-04-07T13:58:30.379Z","updated_at":"2022-04-07T13:58:30.379Z","grant_id":null,"is_lead":false,"saved_state":{"id":3275,"name":"Zhao Bioinformatics Laboratory, USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2939,"fairsharing_record_id":2580,"organisation_id":3108,"relation":"funds","created_at":"2021-09-30T09:26:01.541Z","updated_at":"2021-09-30T09:26:01.541Z","grant_id":null,"is_lead":false,"saved_state":{"id":3108,"name":"University of Oklahoma, USA","types":["University"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2556","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T10:04:09.000Z","updated_at":"2023-12-15T10:31:55.167Z","metadata":{"doi":"10.25504/FAIRsharing.yknezb","name":"DataCite Repository","status":"ready","contacts":[{"contact_name":"DataCite Support","contact_email":"support@datacite.org"}],"homepage":"https://search.datacite.org/","citations":[],"identifier":2556,"description":"DataCite is a leading global non-profit organisation that provides persistent identifiers (DOIs) for research data. Their goal is to help the research community locate, identify, and cite research data with confidence. They support the creation and allocation of DOIs and accompanying metadata. They provide services that support the enhanced search and discovery of research content. They also promote data citation and advocacy through community-building efforts and responsive communication and outreach materials. DataCite gathers metadata for each DOI assigned to an object. The metadata is used for a large index of research data that can be queried directly to find data, obtain stats and explore connections. All the metadata is free to access and review. To showcase and expose the metadata gathered, DataCite provides an integrated search interface, where it is possible to search, filter and extract all the details from a collection of millions of records.","abbreviation":"DataCite","data_curation":{"type":"none"},"support_links":[{"url":"http://blog.datacite.org","name":"DataCite Blog","type":"Blog/News"},{"url":"https://groups.google.com/a/datacite.org/forum/#!forum/allusers","name":"All Users Mailing List","type":"Mailing list"},{"url":"https://support.datacite.org/docs/datacite-search-user-documentation","name":"DataCite User Documentation","type":"Help documentation"},{"url":"http://status.datacite.org/","name":"Current Status of Service","type":"Help documentation"},{"url":"http://stats.datacite.org/","name":"Statistics","type":"Help documentation"},{"url":"https://www.datacite.org/dois.html","name":"How to assign a DOI","type":"Help documentation"},{"url":"https://twitter.com/datacite","name":"@datacite","type":"Twitter"},{"url":"https://commons.datacite.org/statistics","name":"PID Graph Statistics","type":"Other"}],"year_creation":2009,"data_versioning":"no","associated_tools":[{"url":"https://citation.crosscite.org/","name":"Citation Formatter"},{"url":"https://doi.datacite.org/","name":"Fabrica Registration Tool"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://datacite.org/create-dois/","type":"controlled","notes":"Creating a DOI requires service fees."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001039","bsg-d001039"],"name":"FAIRsharing record for: DataCite Repository","abbreviation":"DataCite","url":"https://fairsharing.org/10.25504/FAIRsharing.yknezb","doi":"10.25504/FAIRsharing.yknezb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DataCite is a leading global non-profit organisation that provides persistent identifiers (DOIs) for research data. Their goal is to help the research community locate, identify, and cite research data with confidence. They support the creation and allocation of DOIs and accompanying metadata. They provide services that support the enhanced search and discovery of research content. They also promote data citation and advocacy through community-building efforts and responsive communication and outreach materials. DataCite gathers metadata for each DOI assigned to an object. The metadata is used for a large index of research data that can be queried directly to find data, obtain stats and explore connections. All the metadata is free to access and review. To showcase and expose the metadata gathered, DataCite provides an integrated search interface, where it is possible to search, filter and extract all the details from a collection of millions of records.","linked_records":[],"linking_records":[{"linking_record_name":"Systems Medicine","linking_record_id":3536,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12257}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Centrally registered identifier"],"taxonomies":["All"],"user_defined_tags":["Researcher data"],"countries":["Worldwide"],"publications":[{"id":1975,"pubmed_id":25038897,"title":"DataCite and DOI names for research data.","year":2014,"url":"http://doi.org/10.1007/s10822-014-9776-5","authors":"Neumann J,Brase J","journal":"J Comput Aided Mol Des","doi":"10.1007/s10822-014-9776-5","created_at":"2021-09-30T08:26:02.240Z","updated_at":"2021-09-30T08:26:02.240Z"}],"licence_links":[{"licence_name":"DataCite Privacy Policy","licence_id":218,"licence_url":"https://www.datacite.org/privacy.html","link_id":145,"relation":"undefined"},{"licence_name":"DataCite Terms and Conditions","licence_id":219,"licence_url":"https://www.datacite.org/terms.html","link_id":144,"relation":"undefined"}],"grants":[{"id":2882,"fairsharing_record_id":2556,"organisation_id":1140,"relation":"maintains","created_at":"2021-09-30T09:25:59.725Z","updated_at":"2021-09-30T09:25:59.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":1140,"name":"German National Library of Science and Technology (TIB), Hannover, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2557","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T10:44:18.000Z","updated_at":"2023-12-15T10:30:26.049Z","metadata":{"doi":"10.25504/FAIRsharing.x68mjp","name":"Publications at Bielefeld University","status":"ready","contacts":[{"contact_email":"publikationsdienste.ub@uni-bielefeld.de"}],"homepage":"https://pub.uni-bielefeld.de/","identifier":2557,"description":"Publications at Bielefeld University (PUB) is the institutional repository of Bielefeld University and preserves the scholarly output of its members. Operated by Bielefeld University Library, PUB provides open access to Bielefeld's scholarly publications and research data in accordance with Bielefeld University's open access and research data resolutions. PUB also collects digital theses. With more than 50,000 publications, PUB is the most comprehensive bibliography on scholarly activities at Bielefeld University. Faculty and researchers self-archive full texts when possible. As a plus, PUB cross-references leading indexing services and disciplinary archives such as the Web of Science, CrossRef, PubMed, Europe PubMed Central, arXiv or INSPIRE HEP.","abbreviation":"PUB","data_curation":{"url":"https://pub.uni-bielefeld.de/docs/howto/start","type":"automated","notes":"Long term curation strategy."},"support_links":[{"url":"https://pub.uni-bielefeld.de/docs/howto/contact","name":"Contact Details","type":"Contact form"},{"url":"https://pub.uni-bielefeld.de/docs/howto/start","name":"About PUB","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010750","name":"re3data:r3d100010750","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://shibboleth.uni-bielefeld.de/idp/profile/SAML2/Redirect/SSO?execution=e1s1","type":"controlled","notes":"Only Bielefeld University members can submit publications."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001040","bsg-d001040"],"name":"FAIRsharing record for: Publications at Bielefeld University","abbreviation":"PUB","url":"https://fairsharing.org/10.25504/FAIRsharing.x68mjp","doi":"10.25504/FAIRsharing.x68mjp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Publications at Bielefeld University (PUB) is the institutional repository of Bielefeld University and preserves the scholarly output of its members. Operated by Bielefeld University Library, PUB provides open access to Bielefeld's scholarly publications and research data in accordance with Bielefeld University's open access and research data resolutions. PUB also collects digital theses. With more than 50,000 publications, PUB is the most comprehensive bibliography on scholarly activities at Bielefeld University. Faculty and researchers self-archive full texts when possible. As a plus, PUB cross-references leading indexing services and disciplinary archives such as the Web of Science, CrossRef, PubMed, Europe PubMed Central, arXiv or INSPIRE HEP.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Data Management","Subject Agnostic"],"domains":["Data storage"],"taxonomies":["Not applicable"],"user_defined_tags":["Open Science"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Horizon 2020 Open Access and Data Management Requirements","licence_id":401,"licence_url":"http://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross-cutting-issues/open-access-dissemination_en.htm","link_id":239,"relation":"undefined"},{"licence_name":"Perl 5 License","licence_id":656,"licence_url":"http://dev.perl.org/licenses/","link_id":236,"relation":"undefined"}],"grants":[{"id":2883,"fairsharing_record_id":2557,"organisation_id":214,"relation":"maintains","created_at":"2021-09-30T09:25:59.759Z","updated_at":"2021-09-30T09:25:59.759Z","grant_id":null,"is_lead":false,"saved_state":{"id":214,"name":"Bielefeld University Library, Bielefeld University, Bielefeld, Germany","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2559","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T11:23:31.000Z","updated_at":"2023-12-15T10:27:37.479Z","metadata":{"doi":"10.25504/FAIRsharing.58wjha","name":"da|ra","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"support@da-ra.de","contact_orcid":null},{"contact_name":"Sebastian Netscher","contact_email":"sebastian.netscher@gesis.org","contact_orcid":"0000-0002-2784-6968"}],"homepage":"https://www.da-ra.de/","citations":[],"identifier":2559,"description":"da|ra is the DOI registration agency for social science and economic data jointly run by GESIS and ZBW. This registry provides long-term, persistent identification, storage, localization and reliable citation of research data.","abbreviation":"da|ra","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.da-ra.de/support","name":"Support","type":"Help documentation"},{"url":"https://www.da-ra.de/support#faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2010,"data_versioning":"not found","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.da-ra.de/get-a-doi#da-ra-policy","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001042","bsg-d001042"],"name":"FAIRsharing record for: da|ra","abbreviation":"da|ra","url":"https://fairsharing.org/10.25504/FAIRsharing.58wjha","doi":"10.25504/FAIRsharing.58wjha","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: da|ra is the DOI registration agency for social science and economic data jointly run by GESIS and ZBW. This registry provides long-term, persistent identification, storage, localization and reliable citation of research data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Economics","Social Science"],"domains":["Centrally registered identifier"],"taxonomies":["Not applicable"],"user_defined_tags":["Researcher data"],"countries":["Germany"],"publications":[],"licence_links":[{"licence_name":"Da|ra privacy and copyright","licence_id":1039,"licence_url":"https://www.da-ra.de/privacy","link_id":3096,"relation":"applies_to_content"}],"grants":[{"id":2886,"fairsharing_record_id":2559,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:59.868Z","updated_at":"2021-09-30T09:25:59.868Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2885,"fairsharing_record_id":2559,"organisation_id":1700,"relation":"maintains","created_at":"2021-09-30T09:25:59.829Z","updated_at":"2022-10-12T14:05:05.490Z","grant_id":null,"is_lead":true,"saved_state":{"id":1700,"name":"Leibniz Institute for the Social Sciences","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2887,"fairsharing_record_id":2559,"organisation_id":1696,"relation":"maintains","created_at":"2021-09-30T09:25:59.904Z","updated_at":"2022-10-12T14:05:05.454Z","grant_id":null,"is_lead":true,"saved_state":{"id":1696,"name":"Leibniz Information Centre for Economics","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdW9CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--80ab17f7ae7c2cf1bf30850174e3156e154f81f3/logo-dara-blue.png?disposition=inline","exhaustive_licences":false}},{"id":"2561","type":"fairsharing_records","attributes":{"created_at":"2018-02-05T12:30:15.000Z","updated_at":"2022-07-20T12:21:54.014Z","metadata":{"doi":"10.25504/FAIRsharing.at6rsf","name":"Image Attribution Framework Development Repository","status":"deprecated","contacts":[{"contact_name":"Christian Haselgrove","contact_email":"iaf@virtualbrain.org","contact_orcid":"0000-0002-4438-0637"}],"homepage":"http://iaf.virtualbrain.org/","identifier":2561,"description":"The Image Attribution Framework Development Repository is a system for neuroimaging data citation and credit with a practical implementation that meets the objectives of unique identification, data use tracking, and integration with traditional credit attribution systems. This reference implementation was created which mirrors the structure of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) neuroimaging data repository using the XNAT platform. DOIs can be assigned upon dataset upload, meaning that project-level identifiers as well as per-image DOIs are created. Note that this reference implementation is for illustration purposes. It is expected that ultimate success of this concept will be through the implementation of these recommendations within existing data hosts, and not through this reference implementation itself.","abbreviation":"IAF","data_curation":{"type":"not found"},"support_links":[{"url":"http://github.com/chaselgrove/doi","name":"GitHub Repository","type":"Github"}],"year_creation":2016,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is superceded by NITRC-IR.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001044","bsg-d001044"],"name":"FAIRsharing record for: Image Attribution Framework Development Repository","abbreviation":"IAF","url":"https://fairsharing.org/10.25504/FAIRsharing.at6rsf","doi":"10.25504/FAIRsharing.at6rsf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Image Attribution Framework Development Repository is a system for neuroimaging data citation and credit with a practical implementation that meets the objectives of unique identification, data use tracking, and integration with traditional credit attribution systems. This reference implementation was created which mirrors the structure of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) neuroimaging data repository using the XNAT platform. DOIs can be assigned upon dataset upload, meaning that project-level identifiers as well as per-image DOIs are created. Note that this reference implementation is for illustration purposes. It is expected that ultimate success of this concept will be through the implementation of these recommendations within existing data hosts, and not through this reference implementation itself.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Magnetic resonance imaging","Centrally registered identifier","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2068,"pubmed_id":27570508,"title":"Data Citation in Neuroimaging: Proposed Best Practices for Data Identification and Attribution.","year":2016,"url":"http://doi.org/10.3389/fninf.2016.00034","authors":"Honor LB,Haselgrove C,Frazier JA,Kennedy DN","journal":"Front Neuroinform","doi":"10.3389/fninf.2016.00034","created_at":"2021-09-30T08:26:13.081Z","updated_at":"2021-09-30T08:26:13.081Z"}],"licence_links":[],"grants":[{"id":2890,"fairsharing_record_id":2561,"organisation_id":3089,"relation":"maintains","created_at":"2021-09-30T09:25:59.998Z","updated_at":"2021-09-30T09:25:59.998Z","grant_id":null,"is_lead":false,"saved_state":{"id":3089,"name":"University of Massachusetts Medical School, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2891,"fairsharing_record_id":2561,"organisation_id":2752,"relation":"maintains","created_at":"2021-09-30T09:26:00.029Z","updated_at":"2021-09-30T09:26:00.029Z","grant_id":null,"is_lead":false,"saved_state":{"id":2752,"name":"The Child and Adolescent NeuroDevelopment Initiative (CANDI), Department of Psychiatry, University of Massachusetts Medical School, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2893,"fairsharing_record_id":2561,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:26:00.106Z","updated_at":"2021-09-30T09:26:00.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2892,"fairsharing_record_id":2561,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:26:00.080Z","updated_at":"2021-09-30T09:30:18.146Z","grant_id":645,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"R01 MH083320","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2889,"fairsharing_record_id":2561,"organisation_id":2011,"relation":"funds","created_at":"2021-09-30T09:25:59.974Z","updated_at":"2021-09-30T09:30:54.457Z","grant_id":929,"is_lead":false,"saved_state":{"id":2011,"name":"National Institute of Biomedical Imaging and Bioengineering (NIBIB), Bethesda, MD, USA","grant":"P41 EB019936","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2626","type":"fairsharing_records","attributes":{"created_at":"2018-07-31T13:19:25.000Z","updated_at":"2023-12-15T10:30:54.942Z","metadata":{"doi":"10.25504/FAIRsharing.fc7b9f","name":"Vertebrate Secretome Database","status":"ready","contacts":[{"contact_name":"José L. Lavín","contact_email":"jllavin@cicbiogune.es","contact_orcid":"0000-0003-0914-3211"}],"homepage":"http://genomics.cicbiogune.es/VerSeDa/index.php","identifier":2626,"description":"Vertebrate Secretome Database (VerSeDa) stores information about proteins that are predicted to be secreted through the classical and non-classical mechanisms, for the wide range of vertebrate species deposited at the NCBI, UCSC and ENSEMBL sites.","abbreviation":"VerSeDa","data_curation":{"type":"not found"},"support_links":[{"url":"http://genomics.cicbiogune.es/VerSeDa/ContactUs.php","type":"Contact form"},{"url":"gap@cicbiogune.es","type":"Support email"},{"url":"http://genomics.cicbiogune.es/VerSeDa/Help.php","type":"Help documentation"}],"year_creation":2016,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"http://genomics.cicbiogune.es/VerSeDa/SubmitInfo.php","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001115","bsg-d001115"],"name":"FAIRsharing record for: Vertebrate Secretome Database","abbreviation":"VerSeDa","url":"https://fairsharing.org/10.25504/FAIRsharing.fc7b9f","doi":"10.25504/FAIRsharing.fc7b9f","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Vertebrate Secretome Database (VerSeDa) stores information about proteins that are predicted to be secreted through the classical and non-classical mechanisms, for the wide range of vertebrate species deposited at the NCBI, UCSC and ENSEMBL sites.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein interaction","Protein secretion","Protein","Amino acid sequence"],"taxonomies":["Vertebrata"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":224,"pubmed_id":28365718,"title":"VerSeDa: vertebrate secretome database.","year":2017,"url":"http://doi.org/10.1093/database/baw171","authors":"Cortazar AR,Oguiza JA,Aransay AM,Lavin JL","journal":"Database (Oxford)","doi":"10.1093/database/baw171","created_at":"2021-09-30T08:22:44.247Z","updated_at":"2021-09-30T08:22:44.247Z"}],"licence_links":[],"grants":[{"id":3046,"fairsharing_record_id":2626,"organisation_id":3103,"relation":"maintains","created_at":"2021-09-30T09:26:05.024Z","updated_at":"2021-09-30T09:26:05.024Z","grant_id":null,"is_lead":false,"saved_state":{"id":3103,"name":"University of Navarre, Spain","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3043,"fairsharing_record_id":2626,"organisation_id":1356,"relation":"maintains","created_at":"2021-09-30T09:26:04.906Z","updated_at":"2021-09-30T09:26:04.906Z","grant_id":null,"is_lead":false,"saved_state":{"id":1356,"name":"Innovation Technology Department of Bizkaia, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3045,"fairsharing_record_id":2626,"organisation_id":518,"relation":"maintains","created_at":"2021-09-30T09:26:04.987Z","updated_at":"2021-09-30T09:26:04.987Z","grant_id":null,"is_lead":false,"saved_state":{"id":518,"name":"CIC bioGUNE, Derio, Spain.","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3047,"fairsharing_record_id":2626,"organisation_id":1197,"relation":"funds","created_at":"2021-09-30T09:26:05.066Z","updated_at":"2021-09-30T09:26:05.066Z","grant_id":null,"is_lead":false,"saved_state":{"id":1197,"name":"Government of the Basque Country, Spain","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9271,"fairsharing_record_id":2626,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:26.813Z","updated_at":"2022-04-11T12:07:26.830Z","grant_id":1054,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"AGL2014-55971-R","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2627","type":"fairsharing_records","attributes":{"created_at":"2018-07-31T14:11:34.000Z","updated_at":"2023-06-23T15:05:32.319Z","metadata":{"doi":"10.25504/FAIRsharing.1de585","name":"Gene Transcription Regulation Database","status":"ready","contacts":[{"contact_name":"Fedor Kolpakov","contact_email":"fedor@biouml.org","contact_orcid":"0000-0002-0396-0256"}],"homepage":"http://gtrd.biouml.org/","citations":[{"doi":"10.1093/nar/gkw951","pubmed_id":27924024,"publication_id":240}],"identifier":2627,"description":"Gene Transcription Regulation Database (GTRD) is a database of transcription factor binding sites (TFBSs) identified by ChIP-seq experiments for human and mouse.","abbreviation":"GTRD","data_curation":{"type":"manual/automated"},"support_links":[{"url":"http://wiki.biouml.org/index.php/GTRD","type":"Help documentation"}],"year_creation":2016,"data_versioning":"yes","data_access_condition":{"url":"http://gtrd20-06.biouml.org/bioumlweb/#","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"http://wiki.biouml.org/index.php/GTRD_Workflow","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001116","bsg-d001116"],"name":"FAIRsharing record for: Gene Transcription Regulation Database","abbreviation":"GTRD","url":"https://fairsharing.org/10.25504/FAIRsharing.1de585","doi":"10.25504/FAIRsharing.1de585","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Gene Transcription Regulation Database (GTRD) is a database of transcription factor binding sites (TFBSs) identified by ChIP-seq experiments for human and mouse.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Transcription factor binding site prediction","Transcription factor","Chromatin immunoprecipitation - DNA sequencing","Binding site","Transcript","Gene"],"taxonomies":["Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Russia"],"publications":[{"id":240,"pubmed_id":27924024,"title":"GTRD: a database of transcription factor binding sites identified by ChIP-seq experiments.","year":2016,"url":"http://doi.org/10.1093/nar/gkw951","authors":"Yevshin I,Sharipov R,Valeev T,Kel A,Kolpakov F","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw951","created_at":"2021-09-30T08:22:45.933Z","updated_at":"2021-09-30T11:28:44.319Z"},{"id":2673,"pubmed_id":30445619,"title":"GTRD: a database on gene transcription regulation-2019 update.","year":2018,"url":"http://doi.org/10.1093/nar/gky1128","authors":"Yevshin I,Sharipov R,Kolmykov S,Kondrakhin Y,Kolpakov F","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1128","created_at":"2021-09-30T08:27:28.169Z","updated_at":"2021-09-30T11:29:41.095Z"}],"licence_links":[{"licence_name":"GTRD Free for non-commercial use","licence_id":368,"licence_url":"http://gtrd.biouml.org/","link_id":2413,"relation":"undefined"}],"grants":[{"id":3048,"fairsharing_record_id":2627,"organisation_id":2576,"relation":"funds","created_at":"2021-09-30T09:26:05.115Z","updated_at":"2021-09-30T09:26:05.115Z","grant_id":null,"is_lead":false,"saved_state":{"id":2576,"name":"Skolkovo Foundation, Moscow, Russia","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":3049,"fairsharing_record_id":2627,"organisation_id":2422,"relation":"funds","created_at":"2021-09-30T09:26:05.145Z","updated_at":"2021-09-30T09:30:46.123Z","grant_id":860,"is_lead":false,"saved_state":{"id":2422,"name":"Research and development on priority directions of science and technology in Russia, 20142020","grant":"RFMEFI60414X0101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9324,"fairsharing_record_id":2627,"organisation_id":2474,"relation":"funds","created_at":"2022-04-11T12:07:30.466Z","updated_at":"2022-04-11T12:07:30.483Z","grant_id":1324,"is_lead":false,"saved_state":{"id":2474,"name":"Russian Fund for Basic Research","grant":"17-00-00296","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2629","type":"fairsharing_records","attributes":{"created_at":"2018-08-01T13:08:26.000Z","updated_at":"2024-05-06T12:15:07.405Z","metadata":{"doi":"10.25504/FAIRsharing.2GMztk","name":"ORTHOlogous MAmmalian Markers","status":"deprecated","contacts":[{"contact_name":"Emmanuel Douzery","contact_email":"emmanuel.douzery@univ-montp2.fr","contact_orcid":"0000-0001-5286-647X"}],"homepage":"http://www.orthomam.univ-montp2.fr/orthomam/html/","citations":[],"identifier":2629,"description":"ORTHOlogous MAmmalian Markers database (OrthoMaM) describes the evolutionary dynamics of orthologous genes in mammalian genomes using a phylogenetic framework.","abbreviation":"OrthoMaM","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.orthomam.univ-montp2.fr/orthomam/html/index.php?article=help","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","deprecation_date":"2024-05-06","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001118","bsg-d001118"],"name":"FAIRsharing record for: ORTHOlogous MAmmalian Markers","abbreviation":"OrthoMaM","url":"https://fairsharing.org/10.25504/FAIRsharing.2GMztk","doi":"10.25504/FAIRsharing.2GMztk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ORTHOlogous MAmmalian Markers database (OrthoMaM) describes the evolutionary dynamics of orthologous genes in mammalian genomes using a phylogenetic framework.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Phylogenetics","Life Science"],"domains":["Orthologous","Genome"],"taxonomies":["Mammalia"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":204,"pubmed_id":24723423,"title":"OrthoMaM v8: a database of orthologous exons and coding sequences for comparative genomics in mammals.","year":2014,"url":"http://doi.org/10.1093/molbev/msu132","authors":"Douzery EJ,Scornavacca C,Romiguier J,Belkhir K,Galtier N,Delsuc F,Ranwez V","journal":"Mol Biol Evol","doi":"10.1093/molbev/msu132","created_at":"2021-09-30T08:22:42.256Z","updated_at":"2021-09-30T08:22:42.256Z"},{"id":209,"pubmed_id":18053139,"title":"OrthoMaM: a database of orthologous genomic markers for placental mammal phylogenetics.","year":2007,"url":"http://doi.org/10.1186/1471-2148-7-241","authors":"Ranwez V,Delsuc F,Ranwez S,Belkhir K,Tilak MK,Douzery EJ","journal":"BMC Evol Biol","doi":"10.1186/1471-2148-7-241","created_at":"2021-09-30T08:22:42.740Z","updated_at":"2021-09-30T08:22:42.740Z"}],"licence_links":[],"grants":[{"id":3053,"fairsharing_record_id":2629,"organisation_id":34,"relation":"funds","created_at":"2021-09-30T09:26:05.270Z","updated_at":"2021-09-30T09:26:05.270Z","grant_id":null,"is_lead":false,"saved_state":{"id":34,"name":"Agence Nationale de la Recherche Investissements davenir / Bioinformatique","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3054,"fairsharing_record_id":2629,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:05.303Z","updated_at":"2021-09-30T09:26:05.303Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2594","type":"fairsharing_records","attributes":{"created_at":"2018-03-15T13:31:08.000Z","updated_at":"2024-03-20T13:28:34.795Z","metadata":{"doi":"10.25504/FAIRsharing.lCVfCv","name":"TreeGenes","status":"ready","contacts":[{"contact_name":"TreeGenes Helpdesk","contact_email":"treegenesdb@gmail.com"}],"homepage":"https://treegenesdb.org/","citations":[],"identifier":2594,"description":"TreeGenes is focused on connecting genomic, phenotypic, and environmental data for forest tree populations across the world. The database provides a custom informatics tools to manage the flood of information resulting from high-throughput genomics projects in forest trees from sample collection to downstream analysis. This resource is enhanced with systems that are well connected with federated databases, automated data flows, machine learning analysis, standardized annotations and quality control processes. The TreeGenes database contains several curated modules that support the storage of data and provide the foundation for web-based searches and visualization tools.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/TreeGenes","name":"@TreeGenes","type":"Twitter"}],"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012352","name":"re3data:r3d100012352","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://treegenesdb.org/tpps","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001077","bsg-d001077"],"name":"FAIRsharing record for: TreeGenes","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.lCVfCv","doi":"10.25504/FAIRsharing.lCVfCv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TreeGenes is focused on connecting genomic, phenotypic, and environmental data for forest tree populations across the world. The database provides a custom informatics tools to manage the flood of information resulting from high-throughput genomics projects in forest trees from sample collection to downstream analysis. This resource is enhanced with systems that are well connected with federated databases, automated data flows, machine learning analysis, standardized annotations and quality control processes. The TreeGenes database contains several curated modules that support the storage of data and provide the foundation for web-based searches and visualization tools.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11641}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Botany","Genomics","Life Science","Data Visualization"],"domains":[],"taxonomies":["Acacieae","Anacardiaceae","Apocynaceae","Araucariaceae","Betulaceae","Cassieae","Cephalotaxaceae","Cupressaceae","Dalbergieae","Detarieae","Dipterocarpaceae","Ericaceae","Euphorbiaceae","Eupteleaceae","Fabaceae","Fagaceae","Gnetaceae","Ixoreae","Jatropheae","Juglandacea","Juglandaceae","Lamiaceae","Lauraceae","Leguminosae","Meliaceae","Myristicaceae","Myrtaceae","Oleaceae","Parasitaxus","Pinaceae","Podocarpaceae","Rosaceae","Salicaceae","Sapotaceae","Sciadopityaceae","Tamaricaceae","Taxaceae","Vitaceae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":579,"pubmed_id":18725987,"title":"TreeGenes: A forest tree genome database.","year":2008,"url":"http://doi.org/10.1155/2008/412875","authors":"Wegrzyn JL,Lee JM,Tearse BR,Neale DB","journal":"Int J Plant Genomics","doi":"10.1155/2008/412875","created_at":"2021-09-30T08:23:23.351Z","updated_at":"2021-09-30T08:23:23.351Z"},{"id":4199,"pubmed_id":null,"title":"Cyberinfrastructure to Improve Forest Health and Productivity: The Role of Tree Databases in Connecting Genomes, Phenomes, and the Environment","year":2019,"url":"http://dx.doi.org/10.3389/fpls.2019.00813","authors":"Wegrzyn, Jill L.; Staton, Margaret A.; Street, Nathaniel R.; Main, Dorrie; Grau, Emily; Herndon, Nic; Buehler, Sean; Falk, Taylor; Zaman, Sumaira; Ramnath, Risharde; Richter, Peter; Sun, Lang; Condon, Bradford; Almsaeed, Abdullah; Chen, Ming; Mannapperuma, Chanaka; Jung, Sook; Ficklin, Stephen; ","journal":"Front. Plant Sci.","doi":"10.3389/fpls.2019.00813","created_at":"2024-03-20T13:08:58.881Z","updated_at":"2024-03-20T13:08:58.881Z"},{"id":4200,"pubmed_id":null,"title":"Growing and cultivating the forest genomics database, TreeGenes","year":2018,"url":"http://dx.doi.org/10.1093/database/bay084","authors":"Falk, Taylor; Herndon, Nic; Grau, Emily; Buehler, Sean; Richter, Peter; Zaman, Sumaira; Baker, Eliza M; Ramnath, Risharde; Ficklin, Stephen; Staton, Margaret; Feltus, Frank A; Jung, Sook; Main, Doreen; Wegrzyn, Jill L; ","journal":"Database","doi":"10.1093/database/bay084","created_at":"2024-03-20T13:09:15.650Z","updated_at":"2024-03-20T13:09:15.650Z"},{"id":4201,"pubmed_id":null,"title":"Uniform standards for genome databases in forest and fruit trees","year":2012,"url":"http://dx.doi.org/10.1007/s11295-012-0494-7","authors":"Wegrzyn, J. L.; Main, D.; Figueroa, B.; Choi, M.; Yu, J.; Neale, D. B.; Jung, S.; Lee, T.; Stanton, M.; Zheng, P.; Ficklin, S.; Cho, I.; Peace, C.; Evans, K.; Volk, G.; Oraguzie, N.; Chen, C.; Olmstead, M.; Gmitter, G.; Abbott, A. G.; ","journal":"Tree Genetics \u0026amp; Genomes","doi":"10.1007/s11295-012-0494-7","created_at":"2024-03-20T13:09:31.782Z","updated_at":"2024-03-20T13:09:31.782Z"}],"licence_links":[],"grants":[{"id":2964,"fairsharing_record_id":2594,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:02.174Z","updated_at":"2021-09-30T09:30:23.315Z","grant_id":689,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF 1443040","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2965,"fairsharing_record_id":2594,"organisation_id":2330,"relation":"maintains","created_at":"2021-09-30T09:26:02.199Z","updated_at":"2021-09-30T09:26:02.199Z","grant_id":null,"is_lead":false,"saved_state":{"id":2330,"name":"Plant Computational Genomics Lab, University of Conneticut, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2963,"fairsharing_record_id":2594,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:02.149Z","updated_at":"2021-09-30T09:29:29.493Z","grant_id":269,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","grant":"2016-67013-24469","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8137,"fairsharing_record_id":2594,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:31:09.614Z","updated_at":"2021-09-30T09:31:09.672Z","grant_id":1045,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"NSF 1444573","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8884,"fairsharing_record_id":2594,"organisation_id":3345,"relation":"maintains","created_at":"2022-02-16T18:43:44.069Z","updated_at":"2022-02-16T18:43:44.069Z","grant_id":null,"is_lead":true,"saved_state":{"id":3345,"name":"University of Minho","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdjBEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--67128ea7f665b65384f2d9db656ef65385ec9220/thicker%20text.png?disposition=inline","exhaustive_licences":false}},{"id":"2595","type":"fairsharing_records","attributes":{"created_at":"2018-04-10T09:13:18.000Z","updated_at":"2023-12-15T10:32:30.962Z","metadata":{"doi":"10.25504/FAIRsharing.BrubDI","name":"Mechanism and Catalytic Site Atlas","status":"ready","contacts":[{"contact_name":"António Ribeiro","contact_email":"ribeiro@ebi.ac.uk","contact_orcid":"0000-0002-2533-1231"}],"homepage":"https://www.ebi.ac.uk/thornton-srv/m-csa/","citations":[{"doi":"10.1093/nar/gkx1012","pubmed_id":29106569,"publication_id":2221}],"identifier":2595,"description":"M-CSA is a database of enzyme reaction mechanisms. It provides annotation on the protein, catalytic residues, cofactors, and the reaction mechanisms of hundreds of enzymes. There are two kinds of entries in M-CSA: 'Detailed mechanism' entries are more complete and show the individual chemical steps of the mechanism as schemes with electron flow arrows; and 'Catalytic Site' entries annotate the catalytic residues necessary for the reaction, but do not show the mechanism.","abbreviation":"M-CSA","data_curation":{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/documentation/","type":"manual"},"support_links":[{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/documentation/","name":"M-CSA Documentation","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/about/","name":"About M-CSA","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/thornton-srv/m-csa/stats/","name":"M-CSA Statistics","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010815","name":"re3data:r3d100010815","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013099","name":"SciCrunch:RRID:SCR_013099","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001078","bsg-d001078"],"name":"FAIRsharing record for: Mechanism and Catalytic Site Atlas","abbreviation":"M-CSA","url":"https://fairsharing.org/10.25504/FAIRsharing.BrubDI","doi":"10.25504/FAIRsharing.BrubDI","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: M-CSA is a database of enzyme reaction mechanisms. It provides annotation on the protein, catalytic residues, cofactors, and the reaction mechanisms of hundreds of enzymes. There are two kinds of entries in M-CSA: 'Detailed mechanism' entries are more complete and show the individual chemical steps of the mechanism as schemes with electron flow arrows; and 'Catalytic Site' entries annotate the catalytic residues necessary for the reaction, but do not show the mechanism.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biochemistry","Enzymology","Biology"],"domains":["Annotation","Catalytic activity","Enzymatic reaction","Enzyme"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria","Belgium","Croatia","Czech Republic","Denmark","Finland","France","Germany","Greece","Hungary","Iceland","Ireland","Israel","Italy","Lithuania","Luxembourg","Malta","Montenegro","Netherlands","Norway","Portugal","Slovakia","Spain","Sweden","Switzerland","United Kingdom"],"publications":[{"id":2221,"pubmed_id":29106569,"title":"Mechanism and Catalytic Site Atlas (M-CSA): a database of enzyme reaction mechanisms and active sites.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1012","authors":"Ribeiro AJM,Holliday GL,Furnham N,Tyzack JD,Ferris K,Thornton JM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1012","created_at":"2021-09-30T08:26:30.296Z","updated_at":"2021-09-30T11:29:31.136Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":1104,"relation":"undefined"}],"grants":[{"id":2967,"fairsharing_record_id":2595,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:26:02.249Z","updated_at":"2021-09-30T09:26:02.249Z","grant_id":null,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2966,"fairsharing_record_id":2595,"organisation_id":908,"relation":"maintains","created_at":"2021-09-30T09:26:02.225Z","updated_at":"2021-09-30T09:26:02.225Z","grant_id":null,"is_lead":true,"saved_state":{"id":908,"name":"European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, UK","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":2968,"fairsharing_record_id":2595,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:26:02.274Z","updated_at":"2021-09-30T09:26:02.274Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2619","type":"fairsharing_records","attributes":{"created_at":"2018-07-19T14:02:06.000Z","updated_at":"2023-12-15T10:33:01.593Z","metadata":{"doi":"10.25504/FAIRsharing.394bd6","name":"NASA Ames PAH IR Spectroscopic Database","status":"ready","contacts":[{"contact_name":"Charles W. Bauschlicher Jr.","contact_email":"Charles.W.Bauschlicher@nasa.gov"}],"homepage":"https://www.astrochemistry.org/pahdb/","citations":[],"identifier":2619,"description":"Collaboration between the astronomers, laboratory chemists and theoretical chemists at the facilities of NASA's Ames Research Center resulted in the collection of PAH spectra known as The NASA Ames PAH IR Spectroscopic Database. Collaboration with different institutes, across several countries, helped mature the database and allowed for the construction of the web-portal with its data and tools. Initially intended for astronomers to explain the astronomical unidentified infrared bands and to investigate the \"PAH hypothesis\", now the spectral data and developed paradigms prove also valuable to, e.g., chemists, environmentalists, pharmacologists and nano-technologists.","abbreviation":"PAHdb","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.facebook.com/NASA-Ames-Astrophysics-Astrochemistry-Laboratory-165023493513003/","name":"Facebook","type":"Facebook"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/video","name":"Video Tutorial","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/view","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/technologies","name":"Technologies","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/pressreleases","name":"Press Releases","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/tour","name":"Tour","type":"Help documentation"},{"url":"https://www.astrochemistry.org/pahdb/theoretical/3.20/help/about","name":"About the NASA Ames PAH IR Spectroscopic Database","type":"Help documentation"},{"url":"https://twitter.com/AmesLabAstro","name":"@AmesLabAstro","type":"Twitter"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"http://www.astrochemistry.org/pahdb/theoretical/3.00/tools/view","name":"Database Tools (all)"},{"url":"http://www.astrochemistry.org/pahdb/theoretical/3.00/help/amespahdbidlsuite","name":"AmesPAHdbIDLSuite"}],"data_access_condition":{"type":"partially open","notes":"A valid e-mail address must be sent in order to track the users of the data."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001106","bsg-d001106"],"name":"FAIRsharing record for: NASA Ames PAH IR Spectroscopic Database","abbreviation":"PAHdb","url":"https://fairsharing.org/10.25504/FAIRsharing.394bd6","doi":"10.25504/FAIRsharing.394bd6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Collaboration between the astronomers, laboratory chemists and theoretical chemists at the facilities of NASA's Ames Research Center resulted in the collection of PAH spectra known as The NASA Ames PAH IR Spectroscopic Database. Collaboration with different institutes, across several countries, helped mature the database and allowed for the construction of the web-portal with its data and tools. Initially intended for astronomers to explain the astronomical unidentified infrared bands and to investigate the \"PAH hypothesis\", now the spectral data and developed paradigms prove also valuable to, e.g., chemists, environmentalists, pharmacologists and nano-technologists.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11797}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Nanotechnology","Chemistry","Astrophysics and Astronomy","Pharmacology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2403,"pubmed_id":null,"title":"The NASA Ames PAH IR Spectroscopic Database Version 2.00: Updated Content, Web Site, and On(Off)line Tools","year":2014,"url":"http://doi.org/10.1088/0067-0049/211/1/8","authors":"C. Boersma, C. W. Bauschlicher Jr., A. Ricca, A. L. Mattioda, J. Cami, E. Peeters, F. Sánchez de Armas, G. Puerta Saborido, D. M. Hudgins, and L. J. Allamandola","journal":"The Astrophysical Journal Supplement Series","doi":"10.1088/0067-0049/211/1/8","created_at":"2021-09-30T08:26:54.969Z","updated_at":"2021-09-30T08:26:54.969Z"},{"id":2412,"pubmed_id":null,"title":"The NASA Ames PAH IR Spectroscopic Database: Computational Version 3.00 with Updated Content and the Introduction of Multiple Scaling Factors","year":2018,"url":"http://doi.org/10.3847/1538-4365/aaa019","authors":"Charles W. Bauschlicher Jr., A. Ricca, C. Boersma, and L. J. Allamandola","journal":"The Astrophysical Journal Supplement Series","doi":"10.3847/1538-4365/aaa019","created_at":"2021-09-30T08:26:56.051Z","updated_at":"2021-09-30T08:26:56.051Z"}],"licence_links":[{"licence_name":"The Astrophysics \u0026 Astrochemistry Laboratory's Terms of Service","licence_id":782,"licence_url":"http://www.astrochemistry.org/pahdb/theoretical/3.00/help/terms","link_id":1679,"relation":"undefined"}],"grants":[{"id":3019,"fairsharing_record_id":2619,"organisation_id":2744,"relation":"maintains","created_at":"2021-09-30T09:26:04.094Z","updated_at":"2021-09-30T09:26:04.094Z","grant_id":null,"is_lead":false,"saved_state":{"id":2744,"name":"The Astrophysics \u0026 Astrochemistry Laboratory, Ames Research Center, Mountain View, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2621","type":"fairsharing_records","attributes":{"created_at":"2018-07-19T20:31:02.000Z","updated_at":"2023-12-15T10:30:22.808Z","metadata":{"doi":"10.25504/FAIRsharing.401958","name":"NIST Atomic Spectra Database","status":"ready","contacts":[{"contact_name":"Yuri Ralchenko","contact_email":"yuri.ralchenko@nist.gov","contact_orcid":"0000-0003-0083-9554"}],"homepage":"https://www.nist.gov/pml/atomic-spectra-database","citations":[],"identifier":2621,"description":"The Atomic Spectra Database (ASD) contains data for radiative transitions and energy levels in atoms and atomic ions. Data are included for observed transitions and energy levels of most of the known chemical elements. ASD contains data on spectral lines with wavelengths from about 20 pm (picometers) to 60 m (meters). For many lines, ASD includes radiative transition probabilities. The energy level data include the ground states and ionization energies for all spectra. For most spectra, wavelengths, transition-probabilities, relative intensities, and energy levels are integrated, so that all the available information for a given transition is incorporated under a single listing. For classified lines, in addition to the observed wavelength, ASD includes the Ritz wavelength, which is the wavelength derived from the energy levels.","abbreviation":"ASD","data_curation":{"type":"none"},"support_links":[{"url":"https://www.nist.gov/srd/standard-reference-data-contact-form?id=78","name":"Contact Form","type":"Contact form"},{"url":"https://www.nist.gov/about-nist/contact-us","name":"Contact Us","type":"Contact form"},{"url":"http://physics.nist.gov/PhysRefData/ASD/Html/help.html","name":"Help Pages","type":"Help documentation"},{"url":"https://www.nist.gov/pml/atomic-spectra-database-contents","name":"ASD Documentation","type":"Help documentation"},{"url":"https://www.nist.gov/pml/atomic-spectroscopy-compendium-basic-ideas-notation-data-and-formulas","name":"Atomic Spectroscopy Introduction","type":"Help documentation"},{"url":"https://physics.nist.gov/PhysRefData/ASD/Html/verhist.shtml","name":"Version History","type":"Help documentation"}],"year_creation":1979,"data_versioning":"yes","associated_tools":[{"url":"https://physics.nist.gov/PhysRefData/ASD/LIBS/libs-form.html","name":"ASD Interface for Laser Induced Breakdown Spectroscopy (LIBS)"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011296","name":"re3data:r3d100011296","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001108","bsg-d001108"],"name":"FAIRsharing record for: NIST Atomic Spectra Database","abbreviation":"ASD","url":"https://fairsharing.org/10.25504/FAIRsharing.401958","doi":"10.25504/FAIRsharing.401958","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Atomic Spectra Database (ASD) contains data for radiative transitions and energy levels in atoms and atomic ions. Data are included for observed transitions and energy levels of most of the known chemical elements. ASD contains data on spectral lines with wavelengths from about 20 pm (picometers) to 60 m (meters). For many lines, ASD includes radiative transition probabilities. The energy level data include the ground states and ionization energies for all spectra. For most spectra, wavelengths, transition-probabilities, relative intensities, and energy levels are integrated, so that all the available information for a given transition is incorporated under a single listing. For classified lines, in addition to the observed wavelength, ASD includes the Ritz wavelength, which is the wavelength derived from the energy levels.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11798}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry"],"domains":["Radiation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"NIST Database Disclaimer","licence_id":588,"licence_url":"https://www.nist.gov/pml/database-disclaimer","link_id":1680,"relation":"undefined"}],"grants":[{"id":3022,"fairsharing_record_id":2621,"organisation_id":2169,"relation":"funds","created_at":"2021-09-30T09:26:04.174Z","updated_at":"2021-09-30T09:26:04.174Z","grant_id":null,"is_lead":false,"saved_state":{"id":2169,"name":"NIST Standard Reference Data Program (SRDP), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3021,"fairsharing_record_id":2621,"organisation_id":2228,"relation":"funds","created_at":"2021-09-30T09:26:04.143Z","updated_at":"2021-09-30T09:26:04.143Z","grant_id":null,"is_lead":false,"saved_state":{"id":2228,"name":"Office of Fusion Energy Sciences of the U.S. Department of Energy, Washington D.C., USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3023,"fairsharing_record_id":2621,"organisation_id":1945,"relation":"funds","created_at":"2021-09-30T09:26:04.213Z","updated_at":"2021-09-30T09:26:04.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":1945,"name":"National Aeronautics and Space Administration (NASA), Washington DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3024,"fairsharing_record_id":2621,"organisation_id":2025,"relation":"maintains","created_at":"2021-09-30T09:26:04.245Z","updated_at":"2021-09-30T09:26:04.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":2025,"name":"National Institute of Standards and Technology (NIST), Gaithersburg MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2622","type":"fairsharing_records","attributes":{"created_at":"2018-07-19T20:45:27.000Z","updated_at":"2023-06-22T17:17:48.452Z","metadata":{"doi":"10.25504/FAIRsharing.3c1056","name":"Kinetic Database for Astrochemistry","status":"ready","contacts":[{"contact_name":"Valentine Wakelam","contact_email":"valentine.wakelam@u-bordeaux.fr","contact_orcid":"0000-0001-9676-2605"}],"homepage":"https://kida.astrochem-tools.org/","citations":[],"identifier":2622,"description":"KIDA (KInetic Database for Astrochemistry) is a database of kinetic data of interest for astrochemical (interstellar medium and planetary atmospheres) studies. KIDA is a project initiated by different communities in order to 1) improve the interaction between astrochemists and physico-chemists and 2) simplify the work of modeling the chemistry of astrophysical environments. Here astrophysical environments stand for the interstellar medium and planetary atmospheres. Both types of environments use similar chemical networks and the physico-chemists who work on the determination of reaction rate coefficients for both types of environment are the same.","abbreviation":"KIDA","data_curation":{"type":"manual"},"support_links":[{"url":"kida-obs@u-bordeaux.fr","name":"General contact","type":"Support email"},{"url":"https://kida.astrochem-tools.org/help.html","name":"KIDA FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://kida.astrochem-tools.org/contact.html","name":"Contact","type":"Other"}],"year_creation":2009,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://kida.astrochem-tools.org/help.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001109","bsg-d001109"],"name":"FAIRsharing record for: Kinetic Database for Astrochemistry","abbreviation":"KIDA","url":"https://fairsharing.org/10.25504/FAIRsharing.3c1056","doi":"10.25504/FAIRsharing.3c1056","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: KIDA (KInetic Database for Astrochemistry) is a database of kinetic data of interest for astrochemical (interstellar medium and planetary atmospheres) studies. KIDA is a project initiated by different communities in order to 1) improve the interaction between astrochemists and physico-chemists and 2) simplify the work of modeling the chemistry of astrophysical environments. Here astrophysical environments stand for the interstellar medium and planetary atmospheres. Both types of environments use similar chemical networks and the physico-chemists who work on the determination of reaction rate coefficients for both types of environment are the same.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11799}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Chemistry","Astrophysics and Astronomy","Atmospheric Science"],"domains":["Kinetic model"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":2404,"pubmed_id":null,"title":"A KInetic Database for Astrochemistry (KIDA)","year":2012,"url":"http://doi.org/10.1088/0067-0049/199/1/21","authors":"V. Wakelam, E. Herbst, J.-C. Loison, I. W. M. Smith, V. Chandrasekaran, B. Pavone, N. G. Adams, M.-C. Bacchus-Montabonel, A. Bergeat, K. Béroff, V. M. Bierbaum, M. Chabot, A. Dalgarno, E. F. van Dishoeck, A. Faure, W. D. Geppert, D. Gerlich, D. Galli, E. Hébrard, F. Hersant, K. M. Hickson, P. Honvault, S. J. Klippenstein, S. Le Picard, G. Nyman, P. Pernot, S. Schlemmer, F. Selsis, I. R. Sims, D. Talbi, J. Tennyson, J. Troe, R. Wester, L. Wiesenfeld","journal":"arXiv","doi":"10.1088/0067-0049/199/1/21","created_at":"2021-09-30T08:26:55.083Z","updated_at":"2021-09-30T11:29:51.743Z"}],"licence_links":[],"grants":[{"id":3025,"fairsharing_record_id":2622,"organisation_id":2983,"relation":"maintains","created_at":"2021-09-30T09:26:04.282Z","updated_at":"2021-09-30T09:26:04.282Z","grant_id":null,"is_lead":false,"saved_state":{"id":2983,"name":"Universite de bordeaux, Bordeaux, France","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3027,"fairsharing_record_id":2622,"organisation_id":1974,"relation":"funds","created_at":"2021-09-30T09:26:04.353Z","updated_at":"2021-09-30T09:26:04.353Z","grant_id":null,"is_lead":false,"saved_state":{"id":1974,"name":"National Centre for Scientific Research (CNRS), Paris, France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3031,"fairsharing_record_id":2622,"organisation_id":3147,"relation":"maintains","created_at":"2021-09-30T09:26:04.474Z","updated_at":"2021-09-30T09:26:04.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":3147,"name":"University of Virginia, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":3033,"fairsharing_record_id":2622,"organisation_id":3177,"relation":"funds","created_at":"2021-09-30T09:26:04.557Z","updated_at":"2021-09-30T09:26:04.557Z","grant_id":null,"is_lead":false,"saved_state":{"id":3177,"name":"VAMDC Consortium","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3036,"fairsharing_record_id":2622,"organisation_id":128,"relation":"funds","created_at":"2021-09-30T09:26:04.675Z","updated_at":"2021-09-30T09:26:04.675Z","grant_id":null,"is_lead":false,"saved_state":{"id":128,"name":"Astronet","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3026,"fairsharing_record_id":2622,"organisation_id":1522,"relation":"funds","created_at":"2021-09-30T09:26:04.321Z","updated_at":"2021-09-30T09:26:04.321Z","grant_id":null,"is_lead":false,"saved_state":{"id":1522,"name":"International Space Science Institute, Switzerland","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3028,"fairsharing_record_id":2622,"organisation_id":967,"relation":"funds","created_at":"2021-09-30T09:26:04.389Z","updated_at":"2021-09-30T09:26:04.389Z","grant_id":null,"is_lead":false,"saved_state":{"id":967,"name":"Europlanet Society","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":3029,"fairsharing_record_id":2622,"organisation_id":1663,"relation":"maintains","created_at":"2021-09-30T09:26:04.419Z","updated_at":"2021-09-30T09:26:04.419Z","grant_id":null,"is_lead":false,"saved_state":{"id":1663,"name":"Laboratoire d'Astrophysique de Bordeaux","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3030,"fairsharing_record_id":2622,"organisation_id":2214,"relation":"maintains","created_at":"2021-09-30T09:26:04.443Z","updated_at":"2021-09-30T09:26:04.443Z","grant_id":null,"is_lead":false,"saved_state":{"id":2214,"name":"Observatoire Aquitain des Sciences de l'Univers, Pessac, France","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3032,"fairsharing_record_id":2622,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:26:04.515Z","updated_at":"2021-09-30T09:26:04.515Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3034,"fairsharing_record_id":2622,"organisation_id":920,"relation":"funds","created_at":"2021-09-30T09:26:04.595Z","updated_at":"2021-09-30T09:26:04.595Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3035,"fairsharing_record_id":2622,"organisation_id":1947,"relation":"funds","created_at":"2021-09-30T09:26:04.632Z","updated_at":"2021-09-30T09:26:04.632Z","grant_id":null,"is_lead":false,"saved_state":{"id":1947,"name":"National Agency of Research (ANR), Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2623","type":"fairsharing_records","attributes":{"created_at":"2018-07-23T15:26:20.000Z","updated_at":"2022-07-20T11:39:49.883Z","metadata":{"name":"Longhorn Array Database","status":"deprecated","contacts":[{"contact_name":"Yan Song","contact_email":"yan.song@okstate.edu"}],"homepage":"http://darwin.biochem.okstate.edu/lad/ilat/","identifier":2623,"description":"The Longhorn Array Database (LAD) is a MIAME‐compliant microarray database that operates on PostgreSQL and Linux. It is a free, completely open‐source, and provides a systematic and proven environment in which vast experiment sets can be safely archived, securely accessed, biologically annotated, quantitatively analyzed, and visually explored. This unit provides the complete set of information needed to successfully deploy, configure, and use LAD for the purposes of two‐color DNA microarray analysis and visualization.","abbreviation":"LAD","data_curation":{"type":"not found"},"support_links":[{"url":"http://darwin.biochem.okstate.edu/lad/ilat/help.shtml","name":"Online Help","type":"Help documentation"}],"year_creation":2002,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001110","bsg-d001110"],"name":"FAIRsharing record for: Longhorn Array Database","abbreviation":"LAD","url":"https://fairsharing.org/fairsharing_records/2623","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Longhorn Array Database (LAD) is a MIAME‐compliant microarray database that operates on PostgreSQL and Linux. It is a free, completely open‐source, and provides a systematic and proven environment in which vast experiment sets can be safely archived, securely accessed, biologically annotated, quantitatively analyzed, and visually explored. This unit provides the complete set of information needed to successfully deploy, configure, and use LAD for the purposes of two‐color DNA microarray analysis and visualization.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Microarray experiment","DNA microarray"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2222,"pubmed_id":18428730,"title":"Microarray data visualization and analysis with the Longhorn Array Database (LAD).","year":2008,"url":"http://doi.org/10.1002/0471250953.bi0710s08","authors":"Killion PJ,Iyer VR","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0710s08","created_at":"2021-09-30T08:26:30.397Z","updated_at":"2021-09-30T08:26:30.397Z"},{"id":2287,"pubmed_id":12930545,"title":"The Longhorn Array Database (LAD): an open-source, MIAME compliant implementation of the Stanford Microarray Database (SMD).","year":2003,"url":"http://doi.org/10.1186/1471-2105-4-32","authors":"Killion PJ,Sherlock G,Iyer VR","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-4-32","created_at":"2021-09-30T08:26:38.725Z","updated_at":"2021-09-30T08:26:38.725Z"}],"licence_links":[],"grants":[{"id":3037,"fairsharing_record_id":2623,"organisation_id":3138,"relation":"maintains","created_at":"2021-09-30T09:26:04.717Z","updated_at":"2021-09-30T09:26:04.717Z","grant_id":null,"is_lead":false,"saved_state":{"id":3138,"name":"University of Texas at Austin, Austin, TX, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2612","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T12:53:29.000Z","updated_at":"2023-06-23T16:00:01.352Z","metadata":{"doi":"10.25504/FAIRsharing.3fa02d","name":"Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts","status":"ready","contacts":[{"contact_name":"Yutaka Suzuki","contact_email":"ysuzuki@k.u-tokyo.ac.jp"}],"homepage":"http://kero.hgc.jp/","citations":[],"identifier":2612,"description":"The Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts (DBKERO) stores transcriptome information with a catalogue of genomic variations including public SNP data and epigenome information to enable further in-depth analyses on the disease-causing molecular mechanisms. Recent additions include genomic variation datasets and epigenome variation datasets focusing on the Japanese population. These datasets were collected as a series of genome-wide association studies and as part of International Human Epigenome Consortium (IHEC) projects. The goal is to have this database serve as a model case for the genomic, epigenomic and transcriptomic variations occurring in particular ethnic backgrounds and underlying various diseases. Clinical samples data were also associated with data from various model systems such as drug perturbation datasets using cultured cancer cells.","abbreviation":"DBKERO","data_curation":{"type":"not found"},"support_links":[{"url":"http://kero.hgc.jp/?doc:help_2017.html","name":"How to use DBKERO","type":"Help documentation"},{"url":"http://kero.hgc.jp/?doc:data_contents_2017.html","name":"Data Contents","type":"Help documentation"},{"url":"http://kero.hgc.jp/?doc:protocol_2017.html","name":"Experimental Protocols","type":"Help documentation"}],"year_creation":2001,"data_versioning":"no","associated_tools":[{"url":"https://integbio.jp/rdf/kero/?view=detail\u0026id=kero","name":"DBKERO RDF"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001096","bsg-d001096"],"name":"FAIRsharing record for: Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts","abbreviation":"DBKERO","url":"https://fairsharing.org/10.25504/FAIRsharing.3fa02d","doi":"10.25504/FAIRsharing.3fa02d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts (DBKERO) stores transcriptome information with a catalogue of genomic variations including public SNP data and epigenome information to enable further in-depth analyses on the disease-causing molecular mechanisms. Recent additions include genomic variation datasets and epigenome variation datasets focusing on the Japanese population. These datasets were collected as a series of genome-wide association studies and as part of International Human Epigenome Consortium (IHEC) projects. The goal is to have this database serve as a model case for the genomic, epigenomic and transcriptomic variations occurring in particular ethnic backgrounds and underlying various diseases. Clinical samples data were also associated with data from various model systems such as drug perturbation datasets using cultured cancer cells.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12807}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Epigenetics","Life Science","Transcriptomics","Biomedical Science","Population Genetics"],"domains":["Regulation of gene expression","Mutation","Disease","Single nucleotide polymorphism","Regulatory region","Genome-wide association study","Gene-disease association"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":2105,"pubmed_id":29126224,"title":"DBTSS/DBKERO for integrated analysis of transcriptional regulation.","year":2017,"url":"http://doi.org/10.1093/nar/gkx1001","authors":"Suzuki A,Kawano S,Mitsuyama T,Suyama M,Kanai Y,Shirahige K,Sasaki H,Tokunaga K,Tsuchihara K,Sugano S,Nakai K,Suzuki Y","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1001","created_at":"2021-09-30T08:26:17.264Z","updated_at":"2021-09-30T11:29:29.311Z"}],"licence_links":[],"grants":[{"id":3000,"fairsharing_record_id":2612,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:26:03.434Z","updated_at":"2021-09-30T09:26:03.434Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2998,"fairsharing_record_id":2612,"organisation_id":1864,"relation":"funds","created_at":"2021-09-30T09:26:03.385Z","updated_at":"2021-09-30T09:31:43.602Z","grant_id":1299,"is_lead":false,"saved_state":{"id":1864,"name":"Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Tokyo, Japan","grant":"16H06279","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2999,"fairsharing_record_id":2612,"organisation_id":774,"relation":"maintains","created_at":"2021-09-30T09:26:03.409Z","updated_at":"2021-09-30T09:26:03.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":774,"name":"Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":3001,"fairsharing_record_id":2612,"organisation_id":1595,"relation":"maintains","created_at":"2021-09-30T09:26:03.468Z","updated_at":"2021-09-30T09:26:03.468Z","grant_id":null,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2614","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T13:44:50.000Z","updated_at":"2024-03-21T13:59:17.851Z","metadata":{"name":"Brassica Information Portal","status":"deprecated","contacts":[{"contact_email":"bip@earlham.ac.uk"}],"homepage":"https://bip.earlham.ac.uk/","citations":[],"identifier":2614,"description":"The Brassica Information Portal is a web repository for population and trait scoring information related to the Brassica breeding community. It provides information about quantitative trait loci and links curated Brassica phenotype experimental data with genotype information stored in external data sources. Advanced data submission capabilities and APIs enable users to store and publish their own study results in BIP. The repository can be easily browsed thanks to a set of user-friendly query interfaces.","abbreviation":"BIP","data_curation":{"type":"not found"},"support_links":[{"url":"https://bip.earlham.ac.uk/about_bip","name":"About BIP","type":"Help documentation"}],"year_creation":2017,"data_versioning":"not found","associated_tools":[{"url":"https://bip.earlham.ac.uk/analyses/new","name":"GWAS using GWASSER"}],"deprecation_date":"2022-06-27","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001098","bsg-d001098"],"name":"FAIRsharing record for: Brassica Information Portal","abbreviation":"BIP","url":"https://fairsharing.org/fairsharing_records/2614","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Brassica Information Portal is a web repository for population and trait scoring information related to the Brassica breeding community. It provides information about quantitative trait loci and links curated Brassica phenotype experimental data with genotype information stored in external data sources. Advanced data submission capabilities and APIs enable users to store and publish their own study results in BIP. The repository can be easily browsed thanks to a set of user-friendly query interfaces.","linked_records":[],"linking_records":[{"linking_record_name":"Plant research data resources for european infrastructures","linking_record_id":4741,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16737}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Plant Breeding","Life Science","Population Genetics"],"domains":["Phenotype","Quantitative trait loci","Genotype"],"taxonomies":["Brassica"],"user_defined_tags":["Plant Phenotypes and Traits"],"countries":["United Kingdom"],"publications":[{"id":467,"pubmed_id":28529710,"title":"Introducing the Brassica Information Portal: Towards integrating genotypic and phenotypic Brassica crop data.","year":2017,"url":"http://doi.org/10.12688/f1000research.11301.2","authors":"Eckes AH,Gubala T,Nowakowski P,Szymczyszyn T,Wells R,Irwin JA,Horro C,Hancock JM,King G,Dyer SC,Jurkowski W","journal":"F1000Res","doi":"10.12688/f1000research.11301.2","created_at":"2021-09-30T08:23:10.762Z","updated_at":"2021-09-30T08:23:10.762Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1623,"relation":"undefined"}],"grants":[{"id":3005,"fairsharing_record_id":2614,"organisation_id":801,"relation":"maintains","created_at":"2021-09-30T09:26:03.610Z","updated_at":"2021-09-30T09:26:03.610Z","grant_id":null,"is_lead":false,"saved_state":{"id":801,"name":"Earlham Institute, Norwich, UK","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":3007,"fairsharing_record_id":2614,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:26:03.659Z","updated_at":"2021-09-30T09:26:03.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council (BBSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11587,"fairsharing_record_id":2614,"organisation_id":1264,"relation":"funds","created_at":"2024-03-21T13:59:17.659Z","updated_at":"2024-03-21T13:59:17.659Z","grant_id":null,"is_lead":false,"saved_state":{"id":1264,"name":"Horizon 2020 Programme of the European Union - EXCELERATE","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2615","type":"fairsharing_records","attributes":{"created_at":"2018-06-07T12:52:27.000Z","updated_at":"2023-12-15T10:30:25.125Z","metadata":{"doi":"10.25504/FAIRsharing.d8fea5","name":"Metabolonote","status":"ready","contacts":[{"contact_name":"Metabolonote Administrators","contact_email":"metabolonote@kazusa.or.jp"}],"homepage":"http://metabolonote.kazusa.or.jp","citations":[],"identifier":2615,"description":"Metabolonote is a specialized database system that manages metadata for experimental data obtained through the study of Metabolomics. This system was developed with the aim of promoting the publication and utilization of Metabolomics data by simplifying the metadata recording process.","abbreviation":"Metabolonote","data_curation":{"type":"none"},"support_links":[{"url":"http://metabolonote.kazusa.or.jp/Help:Create_New_Account","name":"How to Create an Account","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Help:Data_Structure_ID","name":"Structure and ID Notation","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Help:Setup_Metabolonote","name":"How to Setup a Local Metabolonote Installation","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Help:Contents","name":"Help Pages","type":"Help documentation"},{"url":"http://metabolonote.kazusa.or.jp/Metabolonote:About","name":"About Metabolonote","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001099","bsg-d001099"],"name":"FAIRsharing record for: Metabolonote","abbreviation":"Metabolonote","url":"https://fairsharing.org/10.25504/FAIRsharing.d8fea5","doi":"10.25504/FAIRsharing.d8fea5","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Metabolonote is a specialized database system that manages metadata for experimental data obtained through the study of Metabolomics. This system was developed with the aim of promoting the publication and utilization of Metabolomics data by simplifying the metadata recording process.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Metabolomics"],"domains":["Experimental measurement","Protocol","Study design"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1360,"pubmed_id":25905099,"title":"Metabolonote: a wiki-based database for managing hierarchical metadata of metabolome analyses.","year":2015,"url":"http://doi.org/10.3389/fbioe.2015.00038","authors":"Ara T,Enomoto M,Arita M,Ikeda C,Kera K,Yamada M,Nishioka T,Ikeda T,Nihei Y,Shibata D,Kanaya S,Sakurai N","journal":"Front Bioeng Biotechnol","doi":"10.3389/fbioe.2015.00038","created_at":"2021-09-30T08:24:52.085Z","updated_at":"2021-09-30T08:24:52.085Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)","licence_id":195,"licence_url":"https://creativecommons.org/licenses/by-sa/4.0/","link_id":2253,"relation":"undefined"}],"grants":[{"id":3009,"fairsharing_record_id":2615,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:26:03.732Z","updated_at":"2021-09-30T09:26:03.732Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":3008,"fairsharing_record_id":2615,"organisation_id":1628,"relation":"maintains","created_at":"2021-09-30T09:26:03.690Z","updated_at":"2021-09-30T09:26:03.690Z","grant_id":null,"is_lead":false,"saved_state":{"id":1628,"name":"Kazusa DNA Research Institute, Chiba, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":3010,"fairsharing_record_id":2615,"organisation_id":1592,"relation":"funds","created_at":"2021-09-30T09:26:03.774Z","updated_at":"2021-09-30T09:26:03.774Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2616","type":"fairsharing_records","attributes":{"created_at":"2018-07-17T08:27:41.000Z","updated_at":"2024-04-29T10:30:18.375Z","metadata":{"doi":"10.25504/FAIRsharing.92473c","name":"IUPAC Gold Book : Compendium of Chemical Terminology","status":"ready","contacts":[{"contact_name":"Jan Kaiser - Content Editor","contact_email":"goldbook@iupac.org","contact_orcid":null},{"contact_name":"Stuart Chalk - Technical Editor","contact_email":"goldbook@iupac.org","contact_orcid":null}],"homepage":"https://goldbook.iupac.org/","citations":[],"identifier":2616,"description":"The Compendium is popularly referred to as the \"Gold Book\" and is one of the series of IUPAC \"Colour Books\" on chemical nomenclature, terminology, symbols and units, and collects together terminology definitions from IUPAC recommendations already published in Pure and Applied Chemistry and in the other Colour Books.","abbreviation":"IUPAC Gold Book","data_curation":{"type":"manual"},"support_links":[{"url":"https://goldbook.iupac.org/pages/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://github.com/iupac","type":"Github"}],"year_creation":2005,"data_versioning":"yes","associated_tools":[{"url":"https://httpd.apache.org/docs/2.4/","name":"Apache Webserver"},{"url":"https://www.php.net/","name":"PHP Scripting Language"},{"url":"https://book.cakephp.org/2/en/index.html","name":"CakePHP Scripting Framework"},{"url":"https://www.jetbrains.com/phpstorm/","name":"PHPStorm Coding Environment "},{"url":"https://getbootstrap.com/","name":"Bootstrap UI"},{"url":"https://jquery.com/","name":"JQuery JavaScript Framework"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001101","bsg-d001101"],"name":"FAIRsharing record for: IUPAC Gold Book : Compendium of Chemical Terminology","abbreviation":"IUPAC Gold Book","url":"https://fairsharing.org/10.25504/FAIRsharing.92473c","doi":"10.25504/FAIRsharing.92473c","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Compendium is popularly referred to as the \"Gold Book\" and is one of the series of IUPAC \"Colour Books\" on chemical nomenclature, terminology, symbols and units, and collects together terminology definitions from IUPAC recommendations already published in Pure and Applied Chemistry and in the other Colour Books.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Chemistry","Natural Science","Physics"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[],"licence_links":[],"grants":[{"id":3012,"fairsharing_record_id":2616,"organisation_id":1537,"relation":"maintains","created_at":"2021-09-30T09:26:03.848Z","updated_at":"2024-04-09T12:51:33.734Z","grant_id":null,"is_lead":true,"saved_state":{"id":1537,"name":"International Union of Pure and Applied Chemistry (IUPAC)","types":["Publisher"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2608","type":"fairsharing_records","attributes":{"created_at":"2018-06-12T15:13:37.000Z","updated_at":"2022-12-16T15:51:43.341Z","metadata":{"doi":"10.25504/FAIRsharing.178BmT","name":"Portail Data INRAE","status":"deprecated","contacts":[{"contact_name":"Esther Dzalé Yeumo","contact_email":"esther.dzale-yeumo@inrae.fr","contact_orcid":"0000-0001-5954-8415"}],"homepage":"https://data.inrae.fr/","citations":[],"identifier":2608,"description":"Portail Data INRAE is offered by INRAE as part of its mission to open the results of its research. INRAE is Europe’s top agricultural research institute and the world’s number two centre for the agricultural sciences. Data INRAE will share research data in relation to food, nutrition, agriculture and environment. It includes experimental, simulation and observation data, omics data, survey and text data. Only data produced by or in collaboration with INRAE will be hosted in the repository, but anyone can access the metadata and the open data. Data INRAE is built on software from the Dataverse Project.","abbreviation":"Data INRAE","data_curation":{},"support_links":[{"url":"datainrae@inrae.fr","name":"Data INRAE support team","type":"Support email"},{"url":"https://docs.google.com/document/d/1YjBvWlgN_52wiggvOVOG5kGy8NMZ7EMobgnUu-GRiok/edit","name":"Data INRAE - Guide de lutilisateur (in french)","type":"Help documentation"}],"year_creation":2018,"data_versioning":"not found","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012673","name":"re3data:r3d100012673","portal":"re3data"}],"deprecation_date":"2022-12-12","deprecation_reason":"Data INRAE has joined the French national repository Recherche Data Gouv, and therefore has been superceded by Recherche Data Gouv.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001091","bsg-d001091"],"name":"FAIRsharing record for: Portail Data INRAE","abbreviation":"Data INRAE","url":"https://fairsharing.org/10.25504/FAIRsharing.178BmT","doi":"10.25504/FAIRsharing.178BmT","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Portail Data INRAE is offered by INRAE as part of its mission to open the results of its research. INRAE is Europe’s top agricultural research institute and the world’s number two centre for the agricultural sciences. Data INRAE will share research data in relation to food, nutrition, agriculture and environment. It includes experimental, simulation and observation data, omics data, survey and text data. Only data produced by or in collaboration with INRAE will be hosted in the repository, but anyone can access the metadata and the open data. Data INRAE is built on software from the Dataverse Project.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12806},{"linking_record_name":"FAIRsFAIR Support Programme for Data Repositories","linking_record_id":3546,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12984}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Soil Science","Botany","Economics","Forest Management","Animal Genetics","Genomics","Animal Physiology","Horticulture","Animal Husbandry","Food Security","Aquaculture","Agriculture","Life Science","Nutritional Science","Veterinary Medicine","Biomedical Science","Biology","Plant Genetics"],"domains":["Animal organ development"],"taxonomies":["Animalia","Cellular organisms","Plantae"],"user_defined_tags":["Applied Forest Research"],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"Licence Ouverte / Open Licence Version 2.0 compatible CC BY 4.0","licence_id":488,"licence_url":"https://www.etalab.gouv.fr/licence-ouverte-open-licence","link_id":965,"relation":"undefined"}],"grants":[{"id":2993,"fairsharing_record_id":2608,"organisation_id":2066,"relation":"maintains","created_at":"2021-09-30T09:26:03.190Z","updated_at":"2021-09-30T09:26:03.190Z","grant_id":null,"is_lead":true,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBalFDIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1965ac455b8e43eea728d231f7247e863099d520/DATA%20INRAE%20LOGO%20RVB%204.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2609","type":"fairsharing_records","attributes":{"created_at":"2018-05-21T18:35:48.000Z","updated_at":"2023-06-23T14:53:20.782Z","metadata":{"doi":"10.25504/FAIRsharing.cHo2bh","name":"Citrusgreening.org","status":"ready","contacts":[{"contact_name":"Surya Saha","contact_email":"ss2489@cornell.edu","contact_orcid":"0000-0002-1160-1413"}],"homepage":"https://citrusgreening.org","citations":[],"identifier":2609,"description":"Huanglongbing (HLB) is a tritrophic disease complex involving citrus host trees, the Asian citrus psyllid (ACP) insect and a phloem restricted, bacterial pathogen Candidatus Liberibacter asiaticus (CLas). HLB is considered to be the most devastating of all citrus diseases, and there is currently no adequate control strategy. Citrusgreening.org is a database for host, vector and pathogen involved in citrus greening disease.","abbreviation":"Citrusgreening","data_curation":{"url":"https://citrusgreening.org/annotation/index","type":"manual/automated","notes":"Genomes annotation is organized thanks to bootcamp projects."},"support_links":[{"url":"https://www.facebook.com/citrusgreening","name":"CitrusGreening Facebook page","type":"Facebook"},{"url":"https://citrusgreening.org/contact/form","name":"CitrusGreening Contact Form","type":"Contact form"},{"url":"https://citrusgreening.org/forum/topics.pl","name":"Database Forum","type":"Forum"},{"url":"https://citrusgreening.org/oldnews.pl","name":"News","type":"Help documentation"},{"url":"https://citrusgreening.org/disease/index","name":"About CitrusGreening / Huanglongbing Disease","type":"Help documentation"},{"url":"https://citrusgreening.org/disease/impact","name":"Impact on US Citrus Production","type":"Help documentation"},{"url":"https://citrusgreening.org/disease/researchhighlights/index","name":"Research Highlights","type":"Help documentation"},{"url":"https://citrusgreening.org/oldpublications.pl","name":"All Publications","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Citrus_clementina/genome","name":"Citrus clementina Genome","type":"Help documentation"},{"url":"https://citrusgreening.org/about/index.pl","name":"About","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Diaphorina_citri/genome","name":"Diaphorina citri Genome and Transcriptome","type":"Help documentation"},{"url":"https://citrusgreening.org/annotation/index","name":"Annotation of Psyllid Genome","type":"Help documentation"},{"url":"https://citrusgreening.org/microtomography/index","name":"Imaging (Microtomography)","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Candidatus_Liberibacter_asiaticus_psy62/genome","name":"Candidatus Liberibacter asiaticus psy62 Genome","type":"Help documentation"},{"url":"https://citrusgreening.org/organism/Citrus_sinensis/genome","name":"Citrus sinensis Genome","type":"Help documentation"},{"url":"https://twitter.com/CitrusGreening","name":"@CitrusGreening","type":"Twitter"}],"year_creation":2016,"data_versioning":"no","associated_tools":[{"url":"http://apollo.sgn.cornell.edu/apollo/529731/jbrowse/index.html","name":"JBrowse"},{"url":"http://pen.sgn.cornell.edu/expression_viewer/input","name":"Expression Viewer"},{"url":"https://citrusgreening.org/tools/blast","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001092","bsg-d001092"],"name":"FAIRsharing record for: Citrusgreening.org","abbreviation":"Citrusgreening","url":"https://fairsharing.org/10.25504/FAIRsharing.cHo2bh","doi":"10.25504/FAIRsharing.cHo2bh","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Huanglongbing (HLB) is a tritrophic disease complex involving citrus host trees, the Asian citrus psyllid (ACP) insect and a phloem restricted, bacterial pathogen Candidatus Liberibacter asiaticus (CLas). HLB is considered to be the most devastating of all citrus diseases, and there is currently no adequate control strategy. Citrusgreening.org is a database for host, vector and pathogen involved in citrus greening disease.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15733}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany","Agriculture","Life Science"],"domains":[],"taxonomies":["Candidatus Liberibacter asiaticus","Citrus","Citrus clementina","Citrus sinensis","Diaphorina citri"],"user_defined_tags":["Plant disease vector","Plant-pathogen interaction"],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2994,"fairsharing_record_id":2609,"organisation_id":2939,"relation":"funds","created_at":"2021-09-30T09:26:03.228Z","updated_at":"2021-09-30T09:26:03.228Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2995,"fairsharing_record_id":2609,"organisation_id":303,"relation":"maintains","created_at":"2021-09-30T09:26:03.261Z","updated_at":"2021-09-30T09:26:03.261Z","grant_id":null,"is_lead":false,"saved_state":{"id":303,"name":"Boyce Thompson Institute (BTI), Ithaca, NY, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2610","type":"fairsharing_records","attributes":{"created_at":"2018-05-23T13:57:33.000Z","updated_at":"2022-07-20T12:08:18.119Z","metadata":{"name":"Common Evidence Model","status":"deprecated","contacts":[{"contact_name":"Richard Boyce","contact_email":"rdb20@pitt.edu","contact_orcid":"0000-0002-2993-2085"}],"homepage":"https://github.com/OHDSI/CommonEvidenceModel","citations":[],"identifier":2610,"description":"The CommonEvidenceModel (CEM) provides an evidence base of a wide variety of sources with information relevant for assessing associations between drugs and health outcomes of interest.","abbreviation":"CEM","data_curation":{"type":"not found"},"support_links":[{"url":"https://github.com/OHDSI/CommonEvidenceModel/issues","name":"GitHub Issue Tracker","type":"Github"},{"url":"http://forums.ohdsi.org/c/researchers","name":"OHDSI Forums","type":"Help documentation"},{"url":"https://github.com/OHDSI/CommonEvidenceModel/wiki","name":"CEM Wiki","type":"Github"}],"year_creation":2018,"data_versioning":"not found","associated_tools":[{"url":"https://github.com/ohdsi/Atlas","name":"Atlas 2.3"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and the resource developers have confirmed that it has been deprecated.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001093","bsg-d001093"],"name":"FAIRsharing record for: Common Evidence Model","abbreviation":"CEM","url":"https://fairsharing.org/fairsharing_records/2610","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CommonEvidenceModel (CEM) provides an evidence base of a wide variety of sources with information relevant for assessing associations between drugs and health outcomes of interest.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biomedical Science"],"domains":["Drug","Adverse Reaction"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":2500,"pubmed_id":24985530,"title":"Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest.","year":2014,"url":"http://doi.org/10.1007/s40264-014-0189-0","authors":"Boyce RD,Ryan PB,Noren GN,Schuemie MJ,Reich C,Duke J,Tatonetti NP,Trifiro G,Harpaz R,Overhage JM,Hartzema AG,Khayter M,Voss EA,Lambert CG,Huser V,Dumontier M","journal":"Drug Saf","doi":"10.1007/s40264-014-0189-0","created_at":"2021-09-30T08:27:06.756Z","updated_at":"2021-09-30T08:27:06.756Z"},{"id":2690,"pubmed_id":28270198,"title":"Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data.","year":2017,"url":"http://doi.org/10.1186/s13326-017-0115-3","authors":"Boyce, RD., Voss, E., Huser, V., Evans, L., Reich, C., Duke, JD., Tatonetti, NP., Lorberbaum, T., Dumontier, M., Hauben, M., Wallberg, M., Peng, L., Dempster, S., He, O., Sena, A., Koutkias, V., Natsiavas, P., Ryan, P.","journal":"J Biomed Semantics","doi":"10.1186/s13326-017-0115-3","created_at":"2021-09-30T08:27:30.428Z","updated_at":"2021-09-30T08:27:30.428Z"},{"id":2691,"pubmed_id":27993747,"title":"Accuracy of an automated knowledge base for identifying drug adverse reactions.","year":2016,"url":"http://doi.org/S1532-0464(16)30179-4","authors":"Voss EA,Boyce RD,Ryan PB,van der Lei J,Rijnbeek PR,Schuemie MJ","journal":"J Biomed Inform","doi":"S1532-0464(16)30179-4","created_at":"2021-09-30T08:27:30.538Z","updated_at":"2021-09-30T08:27:30.538Z"}],"licence_links":[{"licence_name":"Apache License 2.0","licence_id":35,"licence_url":"http://www.apache.org/licenses/LICENSE-2.0","link_id":1672,"relation":"undefined"}],"grants":[{"id":2997,"fairsharing_record_id":2610,"organisation_id":2027,"relation":"funds","created_at":"2021-09-30T09:26:03.354Z","updated_at":"2021-09-30T09:31:51.462Z","grant_id":1358,"is_lead":false,"saved_state":{"id":2027,"name":"National Institute on Aging (NIA), Bethesda, MD, USA","grant":"K01AG044433","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2996,"fairsharing_record_id":2610,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:26:03.294Z","updated_at":"2021-09-30T09:32:07.974Z","grant_id":1483,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01LM011838","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2611","type":"fairsharing_records","attributes":{"created_at":"2018-07-02T21:11:53.000Z","updated_at":"2023-12-15T10:31:40.368Z","metadata":{"doi":"10.25504/FAIRsharing.QXSgvF","name":"MirGeneDB.org","status":"ready","contacts":[{"contact_name":"Bastian Fromm","contact_email":"BastianFromm@gmail.com","contact_orcid":"0000-0003-0352-3037"}],"homepage":"http://mirgenedb.org","citations":[{"doi":"10.1146/annurev-genet-120213-092023","pubmed_id":26473382,"publication_id":923}],"identifier":2611,"description":"MirGeneDB is a database of microRNA genes that have been validated and annotated as described in \"A Uniform System for the Annotation of Vertebrate microRNA Genes and the Evolution of the Human microRNAome\".* The initial version contained 1,434 microRNA genes for human, mouse, chicken and zebrafish. Version 2.0 contains more than 10,000 genes from 45 organisms representing nearly every major metazoan group, and these microRNAs can be browsed, searched and downloaded.","abbreviation":"MirGeneDB","data_curation":{"type":"manual","notes":"https://mirgenedb.org/"},"support_links":[{"url":"http://mirgenedb.org/information","name":"miRNA Information","type":"Help documentation"},{"url":"https://twitter.com/MirGeneDB","name":"@MirGeneDB","type":"Twitter"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001095","bsg-d001095"],"name":"FAIRsharing record for: MirGeneDB.org","abbreviation":"MirGeneDB","url":"https://fairsharing.org/10.25504/FAIRsharing.QXSgvF","doi":"10.25504/FAIRsharing.QXSgvF","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MirGeneDB is a database of microRNA genes that have been validated and annotated as described in \"A Uniform System for the Annotation of Vertebrate microRNA Genes and the Evolution of the Human microRNAome\".* The initial version contained 1,434 microRNA genes for human, mouse, chicken and zebrafish. Version 2.0 contains more than 10,000 genes from 45 organisms representing nearly every major metazoan group, and these microRNAs can be browsed, searched and downloaded.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Evolutionary Biology","Life Science"],"domains":["Sequence annotation","Evolution","Micro RNA","Pre-miRNA (pre-microRNA)"],"taxonomies":["Aedes aegypti","Alligator Mississippiensis","Anolis carolinensis","Ascaris suum","Blattella germanica","Bos taurus","Branchiostoma floridae","Caenorhabditis briggsae","Caenorhabditis elegans","Canis familiaris","Capitella teleta","Cavia porcellus","Chrysemys picta belli","Ciona intestinalis","Columba livia","Crassostrea gigas","Danio rerio","Daphnia pulex","Dasypus novemcinctus","Drosophila ananassae","Drosophila melanogaster","Drosophila mojavensis","Echinops telfairi","Eisenia fetida","Gallus gallus","Heliconius melpomene","Homo sapiens","Ixodes scapularis","Lingula anatina","Lottia gigantea","Macaca mulatta","Monodelphis domestica","Mus musculus","Ornithorhynchus anatinus","Oryctolagus cuniculus","Patiria miniata","Ptychodera flava","Rattus norvegicus","Saccoglossus kowalevskii","Sarcophilus harrisii","Scyliorhinus torazame","Strongylocentrotus purpuratus","Taeniopygia guttata","Tribolium castaneum","Xenopus tropicalis"],"user_defined_tags":[],"countries":["Norway","Sweden","United States"],"publications":[{"id":923,"pubmed_id":26473382,"title":"A Uniform System for the Annotation of Vertebrate microRNA Genes and the Evolution of the Human microRNAome.","year":2015,"url":"http://doi.org/10.1146/annurev-genet-120213-092023","authors":"Fromm B,Billipp T,Peck LE,Johansen M,Tarver JE,King BL,Newcomb JM,Sempere LF,Flatmark K,Hovig E,Peterson KJ","journal":"Annu Rev Genet","doi":"10.1146/annurev-genet-120213-092023","created_at":"2021-09-30T08:24:01.913Z","updated_at":"2021-09-30T08:24:01.913Z"},{"id":1168,"pubmed_id":null,"title":"MirGeneDB2.0: the curated microRNA Gene Database (Preprint)","year":2018,"url":"http://doi.org/10.1101/258749","authors":"Bastian Fromm, Diana Domanska, Michael Hackenberg, Anthony Mathelier, Eirik Hoye, Morten Johansen, Eivind Hovig, Kjersti Flatmark, Kevin J Peterson","journal":"BioRxiv","doi":"10.1101/258749","created_at":"2021-09-30T08:24:29.808Z","updated_at":"2021-09-30T11:28:39.794Z"},{"id":3090,"pubmed_id":31598695,"title":"MirGeneDB 2.0: the metazoan microRNA complement.","year":2019,"url":"http://doi.org/10.1093/nar/gkz885","authors":"Fromm B,Domanska D,Hoye E,Ovchinnikov V,Kang W,Aparicio-Puerta E,Johansen M,Flatmark K,Mathelier A,Hovig E,Hackenberg M,Friedlander MR,Peterson KJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz885","created_at":"2021-09-30T08:28:20.707Z","updated_at":"2021-09-30T11:29:51.079Z"}],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2602","type":"fairsharing_records","attributes":{"created_at":"2018-03-21T20:47:57.000Z","updated_at":"2023-03-24T15:19:58.284Z","metadata":{"name":"The National Trauma Research Repository","status":"deprecated","contacts":[{"contact_name":"Michelle Price","contact_email":"ntrr-info@ntrr-nti.org","contact_orcid":"0000-0001-6402-7956"}],"homepage":"https://www.nattrauma.org/research/ntrr/","citations":[],"identifier":2602,"description":"The National Trauma Research Repository (NTRR) is a comprehensive web platform for uploading and managing research datasets to support data sharing among trauma investigators. The Coalition for National Trauma Research (CNTR) is leading this collaborative effort funded by the Department of Defense (DoD) to advance trauma care. Investigators at the National Trauma Institute (NTI), in collaboration with the National Institutes of Health Center for Information Technology and Sapient Government Services, are creating the centralized, cloud-based data repository and discovery portal of trauma research data from numerous studies conducted throughout the United States. The NTRR enables researchers to share data and collaborate on secondary analyses as well as combine and analyze data across studies. The repository is also a resource for researchers in developing data sharing plans to meet new funding and publishing requirements.","abbreviation":"NTRR","data_curation":{"type":"not found"},"support_links":[{"url":"https://ntrr-nti.org/contact","type":"Contact form"},{"url":"https://ntrr-nti.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://ntrr-nti.org/training","type":"Training documentation"}],"year_creation":2018,"data_versioning":"not found","deprecation_date":"2023-03-24","deprecation_reason":"This resource has been deprecated because of the ressource homepage message \"The NTRR was built to become a key element of the necessary infrastructure to support national trauma research. Currently, however, it is offline pending additional funding\".","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001085","bsg-d001085"],"name":"FAIRsharing record for: The National Trauma Research Repository","abbreviation":"NTRR","url":"https://fairsharing.org/fairsharing_records/2602","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The National Trauma Research Repository (NTRR) is a comprehensive web platform for uploading and managing research datasets to support data sharing among trauma investigators. The Coalition for National Trauma Research (CNTR) is leading this collaborative effort funded by the Department of Defense (DoD) to advance trauma care. Investigators at the National Trauma Institute (NTI), in collaboration with the National Institutes of Health Center for Information Technology and Sapient Government Services, are creating the centralized, cloud-based data repository and discovery portal of trauma research data from numerous studies conducted throughout the United States. The NTRR enables researchers to share data and collaborate on secondary analyses as well as combine and analyze data across studies. The repository is also a resource for researchers in developing data sharing plans to meet new funding and publishing requirements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Traumatology"],"domains":[],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":481,"pubmed_id":27496599,"title":"The National Trauma Research Repository: Ushering in a new era of trauma research","year":2016,"url":"http://doi.org/10.1097/SHK.0000000000000678","authors":"Smith, S. L. Price, M. A. Fabian, T. C. Jurkovich, G. J. Pruitt, B. A., Jr. Stewart, R. M. Jenkins, D. H.","journal":"Shock","doi":"10.1097/SHK.0000000000000678","created_at":"2021-09-30T08:23:12.317Z","updated_at":"2021-09-30T08:23:12.317Z"}],"licence_links":[{"licence_name":"NTRR Policies and Procedures","licence_id":605,"licence_url":"https://ntrr-nti.org/policies-and-procedures","link_id":972,"relation":"undefined"}],"grants":[{"id":2978,"fairsharing_record_id":2602,"organisation_id":3166,"relation":"funds","created_at":"2021-09-30T09:26:02.525Z","updated_at":"2021-09-30T09:30:07.597Z","grant_id":562,"is_lead":false,"saved_state":{"id":3166,"name":"U.S. Department of Defense","grant":"#W81XWH-15.2.0089","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9026,"fairsharing_record_id":2602,"organisation_id":2083,"relation":"funds","created_at":"2022-03-24T14:47:58.521Z","updated_at":"2022-03-24T14:47:58.521Z","grant_id":null,"is_lead":false,"saved_state":{"id":2083,"name":"National Trauma Institute","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2977,"fairsharing_record_id":2602,"organisation_id":2083,"relation":"maintains","created_at":"2021-09-30T09:26:02.500Z","updated_at":"2021-09-30T09:26:02.500Z","grant_id":null,"is_lead":false,"saved_state":{"id":2083,"name":"National Trauma Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2604","type":"fairsharing_records","attributes":{"created_at":"2018-05-10T12:28:02.000Z","updated_at":"2022-07-20T11:46:55.225Z","metadata":{"name":"Open Toxicogenomics Project-Genomics Assisted Toxicity Evaluation system","status":"deprecated","contacts":[{"contact_name":"Hiroshi Yamada","contact_email":"h-yamada@nibio.go.jp"}],"homepage":"http://toxico.nibiohn.go.jp/english/","identifier":2604,"description":"Open TG-GATEs is a public toxicogenomics database developed so that a wider community of researchers could utilize the fruits of TGP and TGP2 research. This database provides public access to data on 170 of the compounds catalogued in TG-GATEs. Data searching can be refined using either the name of a compound or the pathological findings by organ as the starting point. Gene expression data linked to phenotype data in pathology findings can also be downloaded as a CEL(*)file.","abbreviation":"Open TG-GATEs","data_curation":{"type":"not found"},"support_links":[{"url":"http://toxico.nibiohn.go.jp/english/news.html","name":"News","type":"Blog/News"},{"url":"opentggates@nibiohn.jp","type":"Support email"},{"url":"http://toxico.nibiohn.go.jp/english/seika.html","name":"List of Toxicogenomics Project Documents","type":"Help documentation"}],"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001087","bsg-d001087"],"name":"FAIRsharing record for: Open Toxicogenomics Project-Genomics Assisted Toxicity Evaluation system","abbreviation":"Open TG-GATEs","url":"https://fairsharing.org/fairsharing_records/2604","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Open TG-GATEs is a public toxicogenomics database developed so that a wider community of researchers could utilize the fruits of TGP and TGP2 research. This database provides public access to data on 170 of the compounds catalogued in TG-GATEs. Data searching can be refined using either the name of a compound or the pathological findings by organ as the starting point. Gene expression data linked to phenotype data in pathology findings can also be downloaded as a CEL(*)file.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12804},{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16648}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Toxicogenomics","Biomedical Science","Pathology"],"domains":["Expression data","Histology","Liver"],"taxonomies":["Homo sapiens","Rattus norvegicus"],"user_defined_tags":["Digital pathology"],"countries":["Japan"],"publications":[{"id":2689,"pubmed_id":25313160,"title":"Open TG-GATEs: a large-scale toxicogenomics database.","year":2014,"url":"http://doi.org/10.1093/nar/gku955","authors":"Igarashi Y,Nakatsu N,Yamashita T,Ono A,Ohno Y,Urushidani T,Yamada H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku955","created_at":"2021-09-30T08:27:30.319Z","updated_at":"2021-09-30T11:29:41.370Z"}],"licence_links":[{"licence_name":"Open TG-GATEs Database License","licence_id":633,"licence_url":"http://toxico.nibiohn.go.jp/english/agreement.html","link_id":1671,"relation":"undefined"}],"grants":[{"id":7964,"fairsharing_record_id":2604,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:30:06.985Z","updated_at":"2021-09-30T09:30:07.037Z","grant_id":558,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","grant":"H14-Toxico-001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2980,"fairsharing_record_id":2604,"organisation_id":2032,"relation":"maintains","created_at":"2021-09-30T09:26:02.575Z","updated_at":"2021-09-30T09:26:02.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":2032,"name":"National Institutes of Biomedical Innovation, Health and Nutrition, Japan","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2981,"fairsharing_record_id":2604,"organisation_id":1868,"relation":"funds","created_at":"2021-09-30T09:26:02.600Z","updated_at":"2021-09-30T09:29:29.703Z","grant_id":271,"is_lead":false,"saved_state":{"id":1868,"name":"Ministry of Health, Labour and Welfare, Japan","grant":"H19-Toxico-001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2598","type":"fairsharing_records","attributes":{"created_at":"2018-05-14T12:39:00.000Z","updated_at":"2023-12-15T10:31:29.425Z","metadata":{"doi":"10.25504/FAIRsharing.97kZl6","name":"SalmoBase","status":"ready","contacts":[{"contact_name":"Jeevan Karloss Antony Samy","contact_email":"jeevan.karloss@nmbu.no","contact_orcid":"0000-0002-8428-1481"}],"homepage":"http://salmobase.org","identifier":2598,"description":"SalmoBase is an integrated molecular resource for Salmonid species which includes visualizations and analytic tools. The genome of the Atlantic salmon (Salmo salar) has undergone extensive restructuring since a whole genome duplication event ~80 million years ago, which creates opportunities to explore the evolutionary process of rediploidization. A public genome assembly is available and ordered into 29 chromosome files. SalmoBase includes a GBrowse interface for exploring the chromosome sequence as well as BLAST functionality and links to expression levels, gene and SNP information. Using public RNAseq data 37,000 high confidence protein coding genes have been identified, wherein almost half show splice variants.","abbreviation":"SalmoBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://salmobase.org/contact.php","name":"Contact Form","type":"Contact form"},{"url":"http://salmobase.org/newsletter.php","name":"Release Updates","type":"Help documentation"}],"year_creation":2017,"data_versioning":"yes","associated_tools":[{"url":"http://salmobase.org/gbr.html","name":"GBrowse"},{"url":"http://salmobase.org/JBrowse-1.12.3/index.html","name":"JBrowse"},{"url":"http://salmobase.org/blast.html?DB=ASB_BLAST","name":"BLAST"},{"url":"http://salmobase.org/snp.php","name":"GVBrowser (Genetic Variation)"},{"url":"http://salmobase.org/geb.php","name":"GEBrowser (Gene Expression)"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001081","bsg-d001081"],"name":"FAIRsharing record for: SalmoBase","abbreviation":"SalmoBase","url":"https://fairsharing.org/10.25504/FAIRsharing.97kZl6","doi":"10.25504/FAIRsharing.97kZl6","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SalmoBase is an integrated molecular resource for Salmonid species which includes visualizations and analytic tools. The genome of the Atlantic salmon (Salmo salar) has undergone extensive restructuring since a whole genome duplication event ~80 million years ago, which creates opportunities to explore the evolutionary process of rediploidization. A public genome assembly is available and ordered into 29 chromosome files. SalmoBase includes a GBrowse interface for exploring the chromosome sequence as well as BLAST functionality and links to expression levels, gene and SNP information. Using public RNAseq data 37,000 high confidence protein coding genes have been identified, wherein almost half show splice variants.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Fisheries Science","Life Science"],"domains":["Gene expression","RNA sequencing","Single nucleotide polymorphism"],"taxonomies":["Oncorhynchus kisutch","Oncorhynchus mykiss","Salmo salar","Salvelinus alpinus"],"user_defined_tags":[],"countries":["Norway"],"publications":[{"id":2279,"pubmed_id":28651544,"title":"SalmoBase: an integrated molecular data resource for Salmonid species.","year":2017,"url":"http://doi.org/10.1186/s12864-017-3877-1","authors":"Samy JKA,Mulugeta TD,Nome T,Sandve SR,Grammes F,Kent MP,Lien S,Vage DI","journal":"BMC Genomics","doi":"10.1186/s12864-017-3877-1","created_at":"2021-09-30T08:26:37.631Z","updated_at":"2021-09-30T08:26:37.631Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":518,"relation":"undefined"}],"grants":[{"id":2973,"fairsharing_record_id":2598,"organisation_id":846,"relation":"funds","created_at":"2021-09-30T09:26:02.400Z","updated_at":"2021-09-30T09:26:02.400Z","grant_id":null,"is_lead":false,"saved_state":{"id":846,"name":"ELIXIR Norway","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2972,"fairsharing_record_id":2598,"organisation_id":464,"relation":"maintains","created_at":"2021-09-30T09:26:02.374Z","updated_at":"2021-09-30T09:26:02.374Z","grant_id":null,"is_lead":false,"saved_state":{"id":464,"name":"Centre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, Norway","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2605","type":"fairsharing_records","attributes":{"created_at":"2018-05-15T15:53:32.000Z","updated_at":"2023-12-15T10:28:14.905Z","metadata":{"doi":"10.25504/FAIRsharing.6L6MjA","name":"cBioPortal for Cancer Genomics","status":"ready","contacts":[{"contact_name":"cBioPortal for Cancer Genomics Discussion Group","contact_email":"cbioportal@googlegroups.com"}],"homepage":"http://www.cbioportal.org","citations":[{"doi":"10.1158/2159-8290.CD-12-0095","pubmed_id":22588877,"publication_id":2215}],"identifier":2605,"description":"The cBioPortal for Cancer Genomics provides visualization, analysis and download of large-scale cancer genomics data sets.","abbreviation":"cBioPortal","data_curation":{"url":"https://docs.cbioportal.org/user-guide/faq/#what-is-the-process-of-data-curation","type":"manual/automated"},"support_links":[{"url":"http://www.cbioportal.org/news.jsp","name":"cBioPortal News","type":"Blog/News"},{"url":"http://www.cbioportal.org/faq.jsp","name":"cBioPortal FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://thehyve.nl","name":"Commercial support for cBioPortal","type":"Help documentation"},{"url":"cbioportal@googlegroups.com","name":"cBioPortal for Cancer Genomics Discussion Group","type":"Mailing list"},{"url":"https://github.com/cBioPortal/cbioportal","name":"GitHub Repository","type":"Github"},{"url":"http://www.cbioportal.org/tutorial.jsp","name":"cBioPortal tutorials","type":"Training documentation"},{"url":"https://twitter.com/cbioportal","name":"@cbioportal","type":"Twitter"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/cBioPortal/cbioportal/tree/master/core/src/main/scripts/importer","name":"cBioPortal Importer"},{"url":"http://www.cbioportal.org/oncoprinter.jsp","name":"OncoPrinter"},{"url":"http://www.cbioportal.org/mutation_mapper.jsp","name":"MutationMapper"}],"data_access_condition":{"url":"https://docs.cbioportal.org/user-guide/faq/#what-is-the-cbioportal-for-cancer-genomics","type":"open","notes":"Open-access, open-source resource"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-001088","bsg-d001088"],"name":"FAIRsharing record for: cBioPortal for Cancer Genomics","abbreviation":"cBioPortal","url":"https://fairsharing.org/10.25504/FAIRsharing.6L6MjA","doi":"10.25504/FAIRsharing.6L6MjA","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The cBioPortal for Cancer Genomics provides visualization, analysis and download of large-scale cancer genomics data sets.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Proteomics","Biomedical Science","Preclinical Studies"],"domains":["Cancer","Copy number variation"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":144,"pubmed_id":23550210,"title":"Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.","year":2013,"url":"http://doi.org/10.1126/scisignal.2004088","authors":"Gao J,Aksoy BA,Dogrusoz U,Dresdner G,Gross B,Sumer SO,Sun Y,Jacobsen A,Sinha R,Larsson E,Cerami E,Sander C,Schultz N","journal":"Sci Signal","doi":"10.1126/scisignal.2004088","created_at":"2021-09-30T08:22:35.715Z","updated_at":"2021-09-30T08:22:35.715Z"},{"id":2215,"pubmed_id":22588877,"title":"The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.","year":2012,"url":"http://doi.org/10.1158/2159-8290.CD-12-0095","authors":"Cerami E,Gao J,Dogrusoz U,Gross BE,Sumer SO,Aksoy BA,Jacobsen A,Byrne CJ,Heuer ML,Larsson E,Antipin Y,Reva B,Goldberg AP,Sander C,Schultz N","journal":"Cancer Discov","doi":"10.1158/2159-8290.CD-12-0095","created_at":"2021-09-30T08:26:29.649Z","updated_at":"2021-09-30T08:26:29.649Z"}],"licence_links":[{"licence_name":"cBioPortal GNU Affero General Public License","licence_id":105,"licence_url":"https://raw.githubusercontent.com/cBioPortal/cbioportal/master/LICENSE","link_id":569,"relation":"undefined"},{"licence_name":"GNU Affero General Public License","licence_id":352,"licence_url":"http://www.gnu.org/licenses/agpl-3.0.html","link_id":563,"relation":"undefined"}],"grants":[{"id":2982,"fairsharing_record_id":2605,"organisation_id":2356,"relation":"maintains","created_at":"2021-09-30T09:26:02.624Z","updated_at":"2021-09-30T09:26:02.624Z","grant_id":null,"is_lead":false,"saved_state":{"id":2356,"name":"Princess Margaret Cancer Centre, Toronto, Canada","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2986,"fairsharing_record_id":2605,"organisation_id":578,"relation":"maintains","created_at":"2021-09-30T09:26:02.957Z","updated_at":"2021-09-30T09:26:02.957Z","grant_id":null,"is_lead":false,"saved_state":{"id":578,"name":"Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2983,"fairsharing_record_id":2605,"organisation_id":506,"relation":"maintains","created_at":"2021-09-30T09:26:02.651Z","updated_at":"2021-09-30T09:26:02.651Z","grant_id":null,"is_lead":false,"saved_state":{"id":506,"name":"Children's Hospital of Philadelphia","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2984,"fairsharing_record_id":2605,"organisation_id":2786,"relation":"maintains","created_at":"2021-09-30T09:26:02.842Z","updated_at":"2021-09-30T09:26:02.842Z","grant_id":null,"is_lead":false,"saved_state":{"id":2786,"name":"The Hyve","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2985,"fairsharing_record_id":2605,"organisation_id":385,"relation":"maintains","created_at":"2021-09-30T09:26:02.899Z","updated_at":"2021-09-30T09:26:02.899Z","grant_id":null,"is_lead":false,"saved_state":{"id":385,"name":"cBio Center at the Dana-Farber Cancer Institute and at Harvard Medical School, Boston, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2607","type":"fairsharing_records","attributes":{"created_at":"2018-05-02T13:55:53.000Z","updated_at":"2023-12-15T10:31:08.190Z","metadata":{"doi":"10.25504/FAIRsharing.i1F3Hb","name":"Small angle scattering biological data bank","status":"ready","contacts":[{"contact_name":"Al Kikhney","contact_email":"a.kikhney@embl-hamburg.de","contact_orcid":"0000-0003-1321-3956"},{"contact_name":"General Contact","contact_email":"info@sasbdb.org","contact_orcid":null}],"homepage":"https://www.sasbdb.org/","citations":[],"identifier":2607,"description":"Curated repository for small angle scattering data and models. SASBDB contains X-ray (SAXS) and neutron (SANS) scattering data from biological macromolecules in solution.","abbreviation":"SASBDB","data_curation":{"url":"https://www.sasbdb.org/","type":"manual","notes":"SASBDB is a fully searchable curated repository of freely accessible and downloadable experimental data"},"support_links":[{"url":"https://www.saxier.org/forum/","name":"Small angle scattering Forum","type":"Forum"},{"url":"https://www.sasbdb.org/help/","name":"SASDB Help","type":"Help documentation"},{"url":"https://www.sasbdb.org/aboutSASBDB/","name":"About SASDB","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012273","name":"re3data:r3d100012273","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.sasbdb.org/login/","type":"open","notes":"Registration required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-001090","bsg-d001090"],"name":"FAIRsharing record for: Small angle scattering biological data bank","abbreviation":"SASBDB","url":"https://fairsharing.org/10.25504/FAIRsharing.i1F3Hb","doi":"10.25504/FAIRsharing.i1F3Hb","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Curated repository for small angle scattering data and models. SASBDB contains X-ray (SAXS) and neutron (SANS) scattering data from biological macromolecules in solution.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12805}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Molecular biology","Life Science"],"domains":["Protein structure"],"taxonomies":["All"],"user_defined_tags":["SAXS","Small angle scattering"],"countries":["Germany"],"publications":[{"id":2116,"pubmed_id":25352555,"title":"SASBDB, a repository for biological small-angle scattering data","year":2014,"url":"http://doi.org/10.1093/nar/gku1047","authors":"Valentini E, Kikhney AG, Previtali G, Jeffries CM, Svergun DI","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1047","created_at":"2021-09-30T08:26:18.580Z","updated_at":"2021-09-30T08:26:18.580Z"},{"id":3997,"pubmed_id":null,"title":"SASBDB: Towards an automatically curated and validated repository for biological scattering data","year":2019,"url":"http://dx.doi.org/10.1002/pro.3731","authors":"Kikhney, Alexey G.; Borges, Clemente R.; Molodenskiy, Dmitry S.; Jeffries, Cy M.; Svergun, Dmitri I.; ","journal":"Protein Science","doi":"10.1002/pro.3731","created_at":"2023-09-25T14:48:19.253Z","updated_at":"2023-09-25T14:48:19.253Z"}],"licence_links":[{"licence_name":"SASDB: Attribution Only","licence_id":1076,"licence_url":"https://www.sasbdb.org/aboutSASBDB/","link_id":3344,"relation":"applies_to_content"}],"grants":[{"id":2992,"fairsharing_record_id":2607,"organisation_id":852,"relation":"maintains","created_at":"2021-09-30T09:26:03.159Z","updated_at":"2023-09-25T14:52:11.958Z","grant_id":null,"is_lead":true,"saved_state":{"id":852,"name":"Biological Small Angle Scattering Group, EMBL Hamburg","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBdm9DIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--67619a25f4a4894e34d1b15ebf269e185ecfbc02/sasbdb-logo.png?disposition=inline","exhaustive_licences":true}},{"id":"2624","type":"fairsharing_records","attributes":{"created_at":"2018-07-24T09:24:29.000Z","updated_at":"2022-01-27T15:46:03.163Z","metadata":{"name":"BarleyBase","status":"deprecated","contacts":[{"contact_name":"Julie Dickerson","contact_email":"julied@iastate.edu"}],"homepage":"http://barleybase.org","citations":[],"identifier":2624,"description":"BarleyBase is a public data resource of Affymetrix GeneChip data for plants.","abbreviation":"BarleyBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.plexdb.org/modules/PD_general/feedback.php","type":"Contact form"}],"year_creation":2001,"data_versioning":"not found","deprecation_date":"2022-01-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-001111","bsg-d001111"],"name":"FAIRsharing record for: BarleyBase","abbreviation":"BarleyBase","url":"https://fairsharing.org/fairsharing_records/2624","doi":null,"fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BarleyBase is a public data resource of Affymetrix GeneChip data for plants.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Chromatin immunoprecipitation - DNA microarray","DNA microarray"],"taxonomies":["Plantae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2223,"pubmed_id":15608273,"title":"BarleyBase--an expression profiling database for plant genomics.","year":2004,"url":"http://doi.org/10.1093/nar/gki123","authors":"Shen L,Gong J,Caldo RA,Nettleton D,Cook D,Wise RP,Dickerson JA","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki123","created_at":"2021-09-30T08:26:30.496Z","updated_at":"2021-09-30T11:29:31.236Z"}],"licence_links":[],"grants":[{"id":3040,"fairsharing_record_id":2624,"organisation_id":1545,"relation":"funds","created_at":"2021-09-30T09:26:04.828Z","updated_at":"2021-09-30T09:26:04.828Z","grant_id":null,"is_lead":false,"saved_state":{"id":1545,"name":"Iowa State University, IA, USA","types":["University"],"is_lead":false,"relation":"funds"}},{"id":3038,"fairsharing_record_id":2624,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:26:04.757Z","updated_at":"2021-09-30T09:26:04.757Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":3039,"fairsharing_record_id":2624,"organisation_id":2932,"relation":"funds","created_at":"2021-09-30T09:26:04.795Z","updated_at":"2021-09-30T09:26:04.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":2932,"name":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS)","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2077","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-05-01T15:21:32.482Z","metadata":{"doi":"10.25504/FAIRsharing.s1ne3g","name":"UniProt Knowledgebase","status":"ready","contacts":[{"contact_name":"General contact","contact_email":"help@uniprot.org"}],"homepage":"https://www.uniprot.org","citations":[{"doi":"10.1093/nar/gkac1052","pubmed_id":null,"publication_id":3990}],"identifier":2077,"description":"The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The UniProt Knowledgebase consists of two sections: a reviewed section containing manually-annotated records with information extracted from literature and curator-evaluated computational analysis (aka \"UniProtKB/Swiss-Prot\"), and an unreviewed section with computationally analyzed records that await full manual annotation (aka \"UniProtKB/TrEMBL\").","abbreviation":"UniProtKB","data_curation":{"url":"https://www.uniprot.org/help/biocuration","type":"manual/automated","notes":"Curation is performed by expert biologists using a range of tools that have been iteratively developed in close collaboration with curators."},"support_links":[{"url":"https://www.uniprot.org/contact","name":"Contact","type":"Contact form"},{"url":"https://tess.elixir-europe.org/materials/a-critical-guide-to-uniprotkb","name":"A Critical Guide to UniProtKB","type":"TeSS links to training materials"},{"url":"https://www.youtube.com/channel/UCkCR5RJZCZZoVTQzTYY92aw","name":"Youtube channel","type":"Video"},{"url":"https://twitter.com/uniprot","name":"@uniprot","type":"Twitter"},{"url":"https://www.uniprot.org/help","name":"Help Pages","type":"Help documentation"},{"url":"https://www.uniprot.org/help?facets=category%3Afaq\u0026query=*","name":"All FAQs","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.uniprot.org/uniprotkb/statistics","name":"UniProtKB Statistics","type":"Other"}],"year_creation":2002,"data_versioning":"yes","associated_tools":[],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011521","name":"re3data:r3d100011521","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_004426","name":"SciCrunch:RRID:SCR_004426","portal":"SciCrunch"},{"url":"http://purl.obolibrary.org/obo/MI_1097","name":"Molecular Interactions","portal":"BioPortal"}],"data_access_condition":{"url":"https://www.uniprot.org/help/disease_query","type":"open"},"resource_sustainability":{"url":"https://www.uniprot.org/help/about","name":"Funding and past funding"},"data_contact_information":"no","data_preservation_policy":{"url":"https://www.uniprot.org/help/about","name":"The UniProt consortium and host institutions EMBL-EBI, SIB and PIR are committed to the long-term preservation of the UniProt databases."},"data_deposition_condition":{"url":"https://www.uniprot.org/help/submissions","type":"open","notes":"Submissions and updates"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000544","bsg-d000544"],"name":"FAIRsharing record for: UniProt Knowledgebase","abbreviation":"UniProtKB","url":"https://fairsharing.org/10.25504/FAIRsharing.s1ne3g","doi":"10.25504/FAIRsharing.s1ne3g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The UniProt Knowledgebase consists of two sections: a reviewed section containing manually-annotated records with information extracted from literature and curator-evaluated computational analysis (aka \"UniProtKB/Swiss-Prot\"), and an unreviewed section with computationally analyzed records that await full manual annotation (aka \"UniProtKB/TrEMBL\").","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17057},{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10797},{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10965},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11097},{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11215},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11355},{"linking_record_name":"Bioschemas Deploys","linking_record_id":3517,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11532},{"linking_record_name":"ELIXIR Core Data Resources and Deposition Databases","linking_record_id":3527,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11846},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12318},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12687},{"linking_record_name":"HUPO Proteomics Standards Initiative","linking_record_id":3514,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15063},{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16183}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Functional Genomics","Life Science"],"domains":["Molecular structure","Sequence similarity","Expression data","Annotation","Sequence annotation","Gene functional annotation","Function analysis","Proteome","Cellular component","Binding motif","Structure","Protein","Amino acid sequence","Literature curation","Biocuration"],"taxonomies":["All"],"user_defined_tags":["COVID-19"],"countries":["Switzerland","United Kingdom","United States"],"publications":[{"id":249,"pubmed_id":23161681,"title":"Update on activities at the Universal Protein Resource (UniProt) in 2013.","year":2012,"url":"http://doi.org/10.1093/nar/gks1068","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gks1068","created_at":"2021-09-30T08:22:46.912Z","updated_at":"2021-09-30T11:28:44.409Z"},{"id":638,"pubmed_id":25348405,"title":"UniProt: a hub for protein information","year":2014,"url":"http://doi.org/10.1093/nar/gku989","authors":"The UniProt Consortium","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gku989","created_at":"2021-09-30T08:23:30.235Z","updated_at":"2021-09-30T08:23:30.235Z"},{"id":946,"pubmed_id":18287689,"title":"UniProtKB/Swiss-Prot.","year":2008,"url":"http://doi.org/10.1007/978-1-59745-535-0_4","authors":"Boutet E,Lieberherr D,Tognolli M,Schneider M,Bairoch A","journal":"Methods Mol Biol","doi":"10.1007/978-1-59745-535-0_4","created_at":"2021-09-30T08:24:04.678Z","updated_at":"2021-09-30T08:24:04.678Z"},{"id":1023,"pubmed_id":29425356,"title":"UniProt: the universal protein knowledgebase.","year":2018,"url":"http://doi.org/10.1093/nar/gky092","authors":"UniProt Consortium T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky092","created_at":"2021-09-30T08:24:13.286Z","updated_at":"2021-09-30T11:28:56.900Z"},{"id":1031,"pubmed_id":27899622,"title":"UniProt: the universal protein knowledgebase.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1099","authors":"The UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1099","created_at":"2021-09-30T08:24:14.170Z","updated_at":"2021-09-30T11:28:57.092Z"},{"id":1226,"pubmed_id":21447597,"title":"UniProt Knowledgebase: a hub of integrated protein data.","year":2011,"url":"http://doi.org/10.1093/database/bar009","authors":"Magrane M","journal":"Database (Oxford)","doi":"10.1093/database/bar009","created_at":"2021-09-30T08:24:36.707Z","updated_at":"2021-09-30T08:24:36.707Z"},{"id":1269,"pubmed_id":19843607,"title":"The Universal Protein Resource (UniProt) in 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp846","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp846","created_at":"2021-09-30T08:24:41.648Z","updated_at":"2021-09-30T11:29:04.767Z"},{"id":1462,"pubmed_id":16381842,"title":"The Universal Protein Resource (UniProt): an expanding universe of protein information.","year":2005,"url":"http://doi.org/10.1093/nar/gkj161","authors":"Wu CH,Apweiler R,Bairoch A,Natale DA,Barker WC,Boeckmann B,Ferro S,Gasteiger E,Huang H,Lopez R,Magrane M,Martin MJ,Mazumder R,O'Donovan C,Redaschi N,Suzek B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkj161","created_at":"2021-09-30T08:25:03.374Z","updated_at":"2021-09-30T11:29:09.085Z"},{"id":1469,"pubmed_id":30395287,"title":"UniProt: a worldwide hub of protein knowledge.","year":2018,"url":"http://doi.org/10.1093/nar/gky1049","authors":"https://academic.oup.com/nar/article/47/D1/D506/5160987","journal":"Nucleic Acids Research","doi":"10.1093/nar/gky1049","created_at":"2021-09-30T08:25:04.466Z","updated_at":"2021-09-30T11:29:09.451Z"},{"id":1470,"pubmed_id":27010333,"title":"UniProt Tools.","year":2016,"url":"http://doi.org/10.1002/0471250953.bi0129s53","authors":"Pundir S,Martin MJ,O'Donovan C","journal":"Curr Protoc Bioinformatics","doi":"10.1002/0471250953.bi0129s53","created_at":"2021-09-30T08:25:04.568Z","updated_at":"2021-09-30T08:25:04.568Z"},{"id":1471,"pubmed_id":24253303,"title":"Activities at the Universal Protein Resource (UniProt).","year":2013,"url":"http://doi.org/10.1093/nar/gkt1140","authors":"The UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1140","created_at":"2021-09-30T08:25:04.683Z","updated_at":"2021-09-30T11:29:09.543Z"},{"id":1472,"pubmed_id":22123736,"title":"The UniProt-GO Annotation database in 2011.","year":2011,"url":"http://doi.org/10.1093/nar/gkr1048","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr1048","created_at":"2021-09-30T08:25:04.782Z","updated_at":"2021-09-30T11:29:09.684Z"},{"id":1473,"pubmed_id":18836194,"title":"The Universal Protein Resource (UniProt) 2009.","year":2008,"url":"http://doi.org/10.1093/nar/gkn664","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkn664","created_at":"2021-09-30T08:25:04.882Z","updated_at":"2021-09-30T11:29:09.776Z"},{"id":1474,"pubmed_id":18045787,"title":"The universal protein resource (UniProt).","year":2007,"url":"http://doi.org/10.1093/nar/gkm895","authors":"UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkm895","created_at":"2021-09-30T08:25:04.982Z","updated_at":"2021-09-30T11:29:09.911Z"},{"id":1644,"pubmed_id":15044231,"title":"UniProt archive.","year":2004,"url":"http://doi.org/10.1093/bioinformatics/bth191","authors":"Leinonen R,Diez FG,Binns D,Fleischmann W,Lopez R,Apweiler R","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bth191","created_at":"2021-09-30T08:25:24.119Z","updated_at":"2021-09-30T08:25:24.119Z"},{"id":1989,"pubmed_id":15608167,"title":"The Universal Protein Resource (UniProt).","year":2004,"url":"http://doi.org/10.1093/nar/gki070","authors":"Bairoch A,Apweiler R,Wu CH,Barker WC,Boeckmann B,Ferro S,Gasteiger E,Huang H,Lopez R,Magrane M,Martin MJ,Natale DA,O'Donovan C,Redaschi N,Yeh LS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki070","created_at":"2021-09-30T08:26:03.897Z","updated_at":"2021-09-30T11:29:25.210Z"},{"id":2193,"pubmed_id":9181472,"title":"The SWISS-PROT protein sequence database: its relevance to human molecular medical research.","year":1997,"url":"https://www.ncbi.nlm.nih.gov/pubmed/9181472","authors":"Bairoch A,Apweiler R","journal":"J Mol Med (Berl)","doi":null,"created_at":"2021-09-30T08:26:27.175Z","updated_at":"2021-09-30T08:26:27.175Z"},{"id":3728,"pubmed_id":null,"title":"UniProt: the universal protein knowledgebase in 2021","year":2020,"url":"http://dx.doi.org/10.1093/nar/gkaa1100","authors":"The UniProt Consortium","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkaa1100","created_at":"2022-12-06T11:19:27.478Z","updated_at":"2022-12-06T11:19:27.478Z"},{"id":3990,"pubmed_id":null,"title":"UniProt: the Universal Protein Knowledgebase in 2023","year":2022,"url":"http://dx.doi.org/10.1093/nar/gkac1052","authors":"undefined, undefined; Bateman, Alex; Martin, Maria-Jesus; Orchard, Sandra; Magrane, Michele; Ahmad, Shadab; Alpi, Emanuele; Bowler-Barnett, Emily H; Britto, Ramona; Bye-A-Jee, Hema; Cukura, Austra; Denny, Paul; Dogan, Tunca; Ebenezer, ThankGod; Fan, Jun; Garmiri, Penelope; da Costa Gonzales, Leonardo Jose; Hatton-Ellis, Emma; Hussein, Abdulrahman; Ignatchenko, Alexandr; Insana, Giuseppe; Ishtiaq, Rizwan; Joshi, Vishal; Jyothi, Dushyanth; Kandasaamy, Swaathi; Lock, Antonia; Luciani, Aurelien; Lugaric, Marija; Luo, Jie; Lussi, Yvonne; MacDougall, Alistair; Madeira, Fabio; Mahmoudy, Mahdi; Mishra, Alok; Moulang, Katie; Nightingale, Andrew; Pundir, Sangya; Qi, Guoying; Raj, Shriya; Raposo, Pedro; Rice, Daniel L; Saidi, Rabie; Santos, Rafael; Speretta, Elena; Stephenson, James; Totoo, Prabhat; Turner, Edward; Tyagi, Nidhi; Vasudev, Preethi; Warner, Kate; Watkins, Xavier; Zaru, Rossana; Zellner, Hermann; Bridge, Alan J; Aimo, Lucila; Argoud-Puy, Ghislaine; Auchincloss, Andrea H; Axelsen, Kristian B; Bansal, Parit; Baratin, Delphine; Batista Neto, Teresa M; Blatter, Marie-Claude; Bolleman, Jerven T; Boutet, Emmanuel; Breuza, Lionel; Gil, Blanca Cabrera; Casals-Casas, Cristina; Echioukh, Kamal Chikh; Coudert, Elisabeth; Cuche, Beatrice; de Castro, Edouard; Estreicher, Anne; Famiglietti, Maria L; Feuermann, Marc; Gasteiger, Elisabeth; Gaudet, Pascale; Gehant, Sebastien; Gerritsen, Vivienne; Gos, Arnaud; Gruaz, Nadine; Hulo, Chantal; Hyka-Nouspikel, Nevila; Jungo, Florence; Kerhornou, Arnaud; Le Mercier, Philippe; Lieberherr, Damien; Masson, Patrick; Morgat, Anne; Muthukrishnan, Venkatesh; Paesano, Salvo; Pedruzzi, Ivo; Pilbout, Sandrine; Pourcel, Lucille; Poux, Sylvain; Pozzato, Monica; Pruess, Manuela; Redaschi, Nicole; Rivoire, Catherine; Sigrist, Christian J A; Sonesson, Karin; Sundaram, Shyamala; Wu, Cathy H; Arighi, Cecilia N; Arminski, Leslie; Chen, Chuming; Chen, Yongxing; Huang, Hongzhan; Laiho, Kati; McGarvey, Peter; Natale, Darren A; Ross, Karen; Vinayaka, C R; Wang, Qinghua; Wang, Yuqi; Zhang, Jian; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkac1052","created_at":"2023-09-14T12:33:38.053Z","updated_at":"2023-09-14T12:33:38.053Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":54,"relation":"undefined"}],"grants":[{"id":1584,"fairsharing_record_id":2077,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:12.548Z","updated_at":"2021-09-30T09:29:44.785Z","grant_id":383,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"DBI-1062520","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1586,"fairsharing_record_id":2077,"organisation_id":2290,"relation":"funds","created_at":"2021-09-30T09:25:12.682Z","updated_at":"2021-09-30T09:30:28.238Z","grant_id":725,"is_lead":false,"saved_state":{"id":2290,"name":"Parkinson's Disease UK","grant":"G-1307","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":7947,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:00.284Z","updated_at":"2021-09-30T09:30:00.320Z","grant_id":508,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"G08LM010720","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8340,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:10.343Z","updated_at":"2021-09-30T09:32:10.397Z","grant_id":1500,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"U41HG007822","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1583,"fairsharing_record_id":2077,"organisation_id":941,"relation":"funds","created_at":"2021-09-30T09:25:12.506Z","updated_at":"2021-09-30T09:25:12.506Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1588,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:12.756Z","updated_at":"2021-09-30T09:29:29.375Z","grant_id":268,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"R01GM080646","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1585,"fairsharing_record_id":2077,"organisation_id":2747,"relation":"funds","created_at":"2021-09-30T09:25:12.589Z","updated_at":"2021-09-30T09:31:41.528Z","grant_id":1285,"is_lead":false,"saved_state":{"id":2747,"name":"The British Heart Foundation","grant":"RG/13/5/30112","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":7965,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:07.143Z","updated_at":"2021-09-30T09:30:07.183Z","grant_id":559,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"U41HG02273","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8173,"fairsharing_record_id":2077,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:31:19.740Z","updated_at":"2021-09-30T09:31:19.787Z","grant_id":1121,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health","grant":"P20GM103446","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1582,"fairsharing_record_id":2077,"organisation_id":2916,"relation":"maintains","created_at":"2021-09-30T09:25:12.464Z","updated_at":"2023-09-14T12:33:57.580Z","grant_id":null,"is_lead":true,"saved_state":{"id":2916,"name":"UniProt Consortium","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":9419,"fairsharing_record_id":2077,"organisation_id":2635,"relation":"funds","created_at":"2022-04-11T12:07:37.038Z","updated_at":"2022-04-11T12:07:37.038Z","grant_id":null,"is_lead":false,"saved_state":{"id":2635,"name":"State Secretariat for Education, Research and Innovation","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":true}},{"id":"2078","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:31.038Z","metadata":{"doi":"10.25504/FAIRsharing.3axym7","name":"Germplasm Resources Information Network","status":"ready","contacts":[{"contact_email":"dbmu@ars-grin.gov"}],"homepage":"https://www.ars-grin.gov/","identifier":2078,"description":"GRIN provides National Genetic Resources Program (NGRP) personnel and germplasm users continuous access to databases for the maintenance of passport, characterization, evaluation, inventory, and distribution data important for the effective management and utilization of national germplasm collections.","abbreviation":"GRIN","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.ars-grin.gov/Pages/Collections","name":"About Collections","type":"Help documentation"}],"year_creation":2010,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000546","bsg-d000546"],"name":"FAIRsharing record for: Germplasm Resources Information Network","abbreviation":"GRIN","url":"https://fairsharing.org/10.25504/FAIRsharing.3axym7","doi":"10.25504/FAIRsharing.3axym7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GRIN provides National Genetic Resources Program (NGRP) personnel and germplasm users continuous access to databases for the maintenance of passport, characterization, evaluation, inventory, and distribution data important for the effective management and utilization of national germplasm collections.","linked_records":[],"linking_records":[{"linking_record_name":"AgBioData","linking_record_id":3520,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":15728}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Cell","Cell culture","Germplasm"],"taxonomies":["Bacteria","Metazoa","Viridiplantae"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":1589,"fairsharing_record_id":2078,"organisation_id":2939,"relation":"maintains","created_at":"2021-09-30T09:25:12.795Z","updated_at":"2021-09-30T09:25:12.795Z","grant_id":null,"is_lead":false,"saved_state":{"id":2939,"name":"United States Department of Agriculture (USDA), USA","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2079","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-15T07:55:04.768Z","metadata":{"doi":"10.25504/FAIRsharing.rbjs3e","name":"Compulyeast","status":"deprecated","contacts":[{"contact_email":"vital@farm.ucm.es"}],"homepage":"http://compluyeast2dpage.dacya.ucm.es","citations":[],"identifier":2079,"description":"Compluyeast-2D-DB is a two-dimensional polyacrylamide gel electrophoresis federated database. This collection references a subset of Uniprot, and contains general information about the protein record.","abbreviation":"Compulyeast","data_curation":{"type":"not found"},"data_versioning":"not found","associated_tools":[{"url":"http://compluyeast2dpage.dacya.ucm.es/cgi-bin/2d/2d.cgi","name":"search"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource's homepage no longer exists and a new project page cannot be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000547","bsg-d000547"],"name":"FAIRsharing record for: Compulyeast","abbreviation":"Compulyeast","url":"https://fairsharing.org/10.25504/FAIRsharing.rbjs3e","doi":"10.25504/FAIRsharing.rbjs3e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Compluyeast-2D-DB is a two-dimensional polyacrylamide gel electrophoresis federated database. This collection references a subset of Uniprot, and contains general information about the protein record.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics"],"domains":["Protein"],"taxonomies":["Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["Spain"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1901,"relation":"undefined"}],"grants":[{"id":1590,"fairsharing_record_id":2079,"organisation_id":2963,"relation":"maintains","created_at":"2021-09-30T09:25:12.827Z","updated_at":"2021-09-30T09:25:12.827Z","grant_id":null,"is_lead":false,"saved_state":{"id":2963,"name":"Universidad Complutense Madrid","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2072","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:40.055Z","metadata":{"doi":"10.25504/FAIRsharing.zcn4w4","name":"TreeBase","status":"ready","contacts":[{"contact_name":"Rutger Vos","contact_email":"rutger.vos@naturalis.nl"}],"homepage":"https://www.treebase.org","citations":[],"identifier":2072,"description":"TreeBASE is a repository of phylogenetic information, specifically user-submitted phylogenetic trees and the data used to generate them. TreeBASE accepts all types of phylogenetic data (e.g., trees of species, trees of populations, trees of genes) representing all biotic taxa. TreeBASE is temporarily offline except to provide access to editors/curators, as security updates are required before re-publishing the site.","abbreviation":"TreeBase","data_curation":{"url":"https://www.treebase.org/treebase-web/submitTutorial.html","type":"automated","notes":"TreeBASE uses Mesquite to parse incoming dat"},"support_links":[{"url":"help@treebase.org","name":"General Contact","type":"Support email"},{"url":"https://github.com/TreeBASE/treebase/issues","name":"GitHub Issues","type":"Github"},{"url":"https://en.wikipedia.org/wiki/TreeBASE","name":"Wikipedia","type":"Wikipedia"},{"url":"https://sourceforge.net/p/treebase/mailman/attachment/7D0BFEBA-1F7E-4F7A-A0EE-5949564900C6@yale.edu/1/","name":"TreeBASE v2: A Database of Phylogenetic Knowledge","type":"Help documentation"},{"url":"http://treebase.org/treebase-web/technology.html","name":"TreeBASE Infrastructure","type":"Help documentation"},{"url":"http://phylodiversity.net/donoghue/publications/MJD_papers/2002/124_Piel_Shimura02.pdf","name":"TreeBASE: A database of phylogenetic information.","type":"Help documentation"},{"url":"http://treebase.org/treebase-web/submitTutorial.html","name":"Submission Documentation","type":"Training documentation"},{"url":"https://twitter.com/treebase","name":"@treebase","type":"Twitter"}],"year_creation":1994,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010170","name":"re3data:r3d100010170","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005688","name":"SciCrunch:RRID:SCR_005688","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.treebase.org/treebase-web/dataMan.html","name":"Data Persistence"},"data_deposition_condition":{"url":"https://www.treebase.org/treebase-web/submitTutorial.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000539","bsg-d000539"],"name":"FAIRsharing record for: TreeBase","abbreviation":"TreeBase","url":"https://fairsharing.org/10.25504/FAIRsharing.zcn4w4","doi":"10.25504/FAIRsharing.zcn4w4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: TreeBASE is a repository of phylogenetic information, specifically user-submitted phylogenetic trees and the data used to generate them. TreeBASE accepts all types of phylogenetic data (e.g., trees of species, trees of populations, trees of genes) representing all biotic taxa. TreeBASE is temporarily offline except to provide access to editors/curators, as security updates are required before re-publishing the site.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10964}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Phylogenetics","Phylogenomics"],"domains":["Taxonomic classification","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Netherlands","United States"],"publications":[{"id":1468,"pubmed_id":19426482,"title":"Improved data retrieval from TreeBASE via taxonomic and linguistic data enrichment.","year":2009,"url":"http://doi.org/10.1186/1471-2148-9-93","authors":"Anwar N., Hunt E.,","journal":"BMC Evol. Biol.","doi":"10.1186/1471-2148-9-93","created_at":"2021-09-30T08:25:04.360Z","updated_at":"2021-09-30T08:25:04.360Z"}],"licence_links":[],"grants":[{"id":1572,"fairsharing_record_id":2072,"organisation_id":2094,"relation":"maintains","created_at":"2021-09-30T09:25:12.014Z","updated_at":"2021-09-30T09:25:12.014Z","grant_id":null,"is_lead":true,"saved_state":{"id":2094,"name":"Naturalis Biodiversity Center","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1574,"fairsharing_record_id":2072,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:12.097Z","updated_at":"2021-09-30T09:25:12.097Z","grant_id":null,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1573,"fairsharing_record_id":2072,"organisation_id":628,"relation":"funds","created_at":"2021-09-30T09:25:12.056Z","updated_at":"2021-09-30T09:30:59.082Z","grant_id":964,"is_lead":false,"saved_state":{"id":628,"name":"Cyberinfrastructure for Phylogenetic Research","grant":"NSF EF 0331654","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2073","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:56.313Z","metadata":{"doi":"10.25504/FAIRsharing.da6cny","name":"ExplorEnz","status":"ready","contacts":[{"contact_name":"Andrew G. McDonald","contact_email":"amcdonld@tcd.ie","contact_orcid":"0000-0003-2727-176X"}],"homepage":"http://www.enzyme-database.org","identifier":2073,"description":"The Enzyme Database was developed as a new way to access the data of the IUBMB Enzyme Nomenclature List. The data, which are stored in a MySQL database, preserve the formatting of chemical names according to IUPAC standards.","abbreviation":"ExplorEnz","data_curation":{"url":"https://www.enzyme-database.org/about.php","type":"manual"},"support_links":[{"url":"http://www.enzyme-database.org/faq.php","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.enzyme-database.org/quickstart.php","type":"Help documentation"},{"url":"http://www.enzyme-database.org/nomenclature.php","type":"Help documentation"},{"url":"http://www.enzyme-database.org/advice.php","type":"Help documentation"}],"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.enzyme-database.org/newform.php","type":"controlled","notes":"New enzymes undergo a two-month public-review process before being incorporated into the official Enzyme List."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000540","bsg-d000540"],"name":"FAIRsharing record for: ExplorEnz","abbreviation":"ExplorEnz","url":"https://fairsharing.org/10.25504/FAIRsharing.da6cny","doi":"10.25504/FAIRsharing.da6cny","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Enzyme Database was developed as a new way to access the data of the IUBMB Enzyme Nomenclature List. The data, which are stored in a MySQL database, preserve the formatting of chemical names according to IUPAC standards.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Enzyme","Classification"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Ireland","Worldwide"],"publications":[{"id":1083,"pubmed_id":18776214,"title":"ExplorEnz: the primary source of the IUBMB enzyme list.","year":2008,"url":"http://doi.org/10.1093/nar/gkn582","authors":"McDonald AG., Boyce S., Tipton KF.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn582","created_at":"2021-09-30T08:24:19.998Z","updated_at":"2021-09-30T08:24:19.998Z"}],"licence_links":[{"licence_name":"ExplorEnz Attribution required","licence_id":306,"licence_url":"https://www.enzyme-database.org/","link_id":987,"relation":"undefined"}],"grants":[{"id":1575,"fairsharing_record_id":2073,"organisation_id":2874,"relation":"maintains","created_at":"2021-09-30T09:25:12.191Z","updated_at":"2021-09-30T09:25:12.191Z","grant_id":null,"is_lead":false,"saved_state":{"id":2874,"name":"Trinity College Dublin, Ireland","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2074","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:20:34.976Z","metadata":{"doi":"10.25504/FAIRsharing.9s300d","name":"Type 1 Diabetes Database","status":"deprecated","contacts":[{"contact_name":"John Todd","contact_email":"john.todd@cimr.cam.ac.uk","contact_orcid":"0000-0003-2740-8148"}],"homepage":"http://t1dbase.org/","identifier":2074,"description":"T1DBase focuses on two research areas in type 1 diabetes (T1D): the genetics of T1D susceptibility and beta cell biology.","abbreviation":"T1DBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.t1dbase.org/page/ContactFormPopup/display/","type":"Contact form"},{"url":"t1dbase-feedback@cimr.cam.ac.uk","type":"Support email"},{"url":"http://www.t1dbase.org/page/FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.t1dbase.org/page/WebsiteTutorial","type":"Training documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://www.t1dbase.org/page/AtlasHome","name":"Beta Cell Gene Atlas Home"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000541","bsg-d000541"],"name":"FAIRsharing record for: Type 1 Diabetes Database","abbreviation":"T1DBase","url":"https://fairsharing.org/10.25504/FAIRsharing.9s300d","doi":"10.25504/FAIRsharing.9s300d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: T1DBase focuses on two research areas in type 1 diabetes (T1D): the genetics of T1D susceptibility and beta cell biology.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Biomedical Science"],"domains":["Disease","Gene","Diabetes mellitus"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":517,"pubmed_id":20937630,"title":"T1DBase: update 2011, organization and presentation of large-scale data sets for type 1 diabetes research.","year":2010,"url":"http://doi.org/10.1093/nar/gkq912","authors":"Burren OS., Adlem EC., Achuthan P., Christensen M., Coulson RM., Todd JA.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkq912","created_at":"2021-09-30T08:23:16.417Z","updated_at":"2021-09-30T08:23:16.417Z"},{"id":1501,"pubmed_id":15608258,"title":"T1DBase, a community web-based resource for type 1 diabetes research.","year":2004,"url":"http://doi.org/10.1093/nar/gki095","authors":"Smink LJ,Helton EM,Healy BC,Cavnor CC,Lam AC,Flamez D,Burren OS,Wang Y,Dolman GE,Burdick DB,Everett VH,Glusman G,Laneri D,Rowen L,Schuilenburg H,Walker NM,Mychaleckyj J,Wicker LS,Eizirik DL,Todd JA,Goodman N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gki095","created_at":"2021-09-30T08:25:08.065Z","updated_at":"2021-09-30T11:29:11.368Z"},{"id":1502,"pubmed_id":17169983,"title":"T1DBase: integration and presentation of complex data for type 1 diabetes research.","year":2006,"url":"http://doi.org/10.1093/nar/gkl933","authors":"Hulbert EM,Smink LJ,Adlem EC,Allen JE,Burdick DB,Burren OS,Cassen VM,Cavnor CC,Dolman GE,Flamez D,Friery KF,Healy BC,Killcoyne SA,Kutlu B,Schuilenburg H,Walker NM,Mychaleckyj J,Eizirik DL,Wicker LS,Todd JA,Goodman N","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl933","created_at":"2021-09-30T08:25:08.165Z","updated_at":"2021-09-30T11:29:11.459Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":717,"relation":"undefined"}],"grants":[{"id":1576,"fairsharing_record_id":2074,"organisation_id":2880,"relation":"maintains","created_at":"2021-09-30T09:25:12.227Z","updated_at":"2021-09-30T09:25:12.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":2880,"name":"Type 1 Diabetes Genetics Consortium","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2075","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:12:37.394Z","metadata":{"doi":"10.25504/FAIRsharing.zf8s5t","name":"The Signaling Gateway","status":"deprecated","contacts":[{"contact_name":"Shankar Subramaniam","contact_email":"shankar@sdsc.edu"},{"contact_name":"General Contact","contact_email":"webmaster@signaling-gateway.org","contact_orcid":null}],"homepage":"http://www.signaling-gateway.org","citations":[],"identifier":2075,"description":"The UCSD Signaling Gateway Molecule Pages provides information on the proteins involved in cell signaling. This database combines expert authored reviews with curated, highly-structured data (e.g. protein interactions) and automatic annotation from publicly available data sources (e.g. UniProt and Genbank). ","abbreviation":null,"data_curation":{"url":"http://www.signaling-gateway.org/molecule/jsp/molpage/aboutus.jsp","type":"manual/automated"},"support_links":[],"year_creation":2007,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011690","name":"re3data:r3d100011690","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006907","name":"SciCrunch:RRID:SCR_006907","portal":"SciCrunch"}],"deprecation_date":"2022-06-13","deprecation_reason":"This resource's homepage is not available, and we have not been able to get in touch with the developers. Please let us know if you have information regarding this resource.","data_access_condition":{"url":"http://www.signaling-gateway.org/molecule/jsp/molpage/aboutus.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000542","bsg-d000542"],"name":"FAIRsharing record for: The Signaling Gateway","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zf8s5t","doi":"10.25504/FAIRsharing.zf8s5t","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The UCSD Signaling Gateway Molecule Pages provides information on the proteins involved in cell signaling. This database combines expert authored reviews with curated, highly-structured data (e.g. protein interactions) and automatic annotation from publicly available data sources (e.g. UniProt and Genbank). ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cell Biology"],"domains":["Signaling","Molecular interaction","Small molecule","Protein"],"taxonomies":["Bos taurus","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":512,"pubmed_id":17965093,"title":"The Molecule Pages database.","year":2007,"url":"http://doi.org/10.1093/nar/gkm907","authors":"Saunders B., Lyon S., Day M., Riley B., Chenette E., Subramaniam S., Vadivelu I.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkm907","created_at":"2021-09-30T08:23:15.883Z","updated_at":"2021-09-30T08:23:15.883Z"},{"id":1495,"pubmed_id":21505029,"title":"Signaling gateway molecule pages--a data model perspective.","year":2011,"url":"http://doi.org/10.1093/bioinformatics/btr190","authors":"Dinasarapu AR., Saunders B., Ozerlat I., Azam K., Subramaniam S.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btr190","created_at":"2021-09-30T08:25:07.470Z","updated_at":"2021-09-30T08:25:07.470Z"}],"licence_links":[],"grants":[{"id":1577,"fairsharing_record_id":2075,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:12.264Z","updated_at":"2021-09-30T09:32:10.113Z","grant_id":1498,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"GM078005-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1579,"fairsharing_record_id":2075,"organisation_id":2485,"relation":"maintains","created_at":"2021-09-30T09:25:12.348Z","updated_at":"2022-01-11T13:51:35.252Z","grant_id":null,"is_lead":true,"saved_state":{"id":2485,"name":"San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2076","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T13:19:31.961Z","metadata":{"doi":"10.25504/FAIRsharing.kz6vpp","name":"Domain mapping of disease mutations","status":"deprecated","contacts":[{"contact_name":"Maricel Kann","contact_email":"DMDM_info@umbc.edu"}],"homepage":"http://bioinf.umbc.edu/dmdm/","identifier":2076,"description":"Domain mapping of disease mutations (DMDM) is a database in which each disease mutation can be displayed by its gene, protein or domain location.","abbreviation":"DMDM","data_curation":{"type":"not found"},"year_creation":2009,"data_versioning":"not found","deprecation_date":"2021-9-27","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000543","bsg-d000543"],"name":"FAIRsharing record for: Domain mapping of disease mutations","abbreviation":"DMDM","url":"https://fairsharing.org/10.25504/FAIRsharing.kz6vpp","doi":"10.25504/FAIRsharing.kz6vpp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Domain mapping of disease mutations (DMDM) is a database in which each disease mutation can be displayed by its gene, protein or domain location.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12686}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Hidden Markov model","Protein domain","Mutation analysis","Disease","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":522,"pubmed_id":20685956,"title":"DMDM: domain mapping of disease mutations.","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq447","authors":"Peterson TA., Adadey A., Santana-Cruz I., Sun Y., Winder A., Kann MG.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq447","created_at":"2021-09-30T08:23:16.959Z","updated_at":"2021-09-30T08:23:16.959Z"}],"licence_links":[{"licence_name":"DMDM Attribution required","licence_id":248,"licence_url":"http://bioinf.umbc.edu/dmdm/","link_id":679,"relation":"undefined"}],"grants":[{"id":1580,"fairsharing_record_id":2076,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:25:12.388Z","updated_at":"2021-09-30T09:25:12.388Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1581,"fairsharing_record_id":2076,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:12.427Z","updated_at":"2021-09-30T09:30:03.038Z","grant_id":530,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1K22CA143148","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8074,"fairsharing_record_id":2076,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:30:47.196Z","updated_at":"2021-09-30T09:30:47.245Z","grant_id":870,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01LM009722","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2053","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-21T13:58:01.019Z","metadata":{"doi":"10.25504/FAIRsharing.rb2drw","name":"InnateDB","status":"ready","contacts":[{"contact_name":"David Lynn","contact_email":"David.Lynn@sahmri.com"}],"homepage":"http://www.innatedb.com/","citations":[],"identifier":2053,"description":"InnateDB has been developed to facilitate systems level investigations of the mammalian (human, mouse and bovine) innate immune response. Its goal is to provide a manually-curated knowledgebase of the genes, proteins, and particularly, the interactions and signaling responses involved in mammalian innate immunity. InnateDB incorporates information of the whole human, mouse and bovine interactomes by integrating interaction and pathway information from several of the major publicly available databases but aims to capture an improved coverage of the innate immunity interactome through manual curation.","abbreviation":"InnateDB","data_curation":{"url":"http://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"manual"},"support_links":[{"url":"https://www.innatedb.com/news.jsp","name":"News","type":"Blog/News"},{"url":"innatedb-mail@sfu.ca","type":"Support email"},{"url":"http://www.innatedb.com/redirect.do?go=helpfaq","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.innatedb.com/redirect.do?go=helpgeneral","type":"Help documentation"},{"url":"https://twitter.com/innatedb","type":"Twitter"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://www.innatedb.com/redirect.do?go=batchPw","name":"analyze"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010676","name":"re3data:r3d100010676","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006714","name":"SciCrunch:RRID:SCR_006714","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://www.innatedb.com/doc/InnateDB_2011_curation_guide.pdf","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000520","bsg-d000520"],"name":"FAIRsharing record for: InnateDB","abbreviation":"InnateDB","url":"https://fairsharing.org/10.25504/FAIRsharing.rb2drw","doi":"10.25504/FAIRsharing.rb2drw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: InnateDB has been developed to facilitate systems level investigations of the mammalian (human, mouse and bovine) innate immune response. Its goal is to provide a manually-curated knowledgebase of the genes, proteins, and particularly, the interactions and signaling responses involved in mammalian innate immunity. InnateDB incorporates information of the whole human, mouse and bovine interactomes by integrating interaction and pathway information from several of the major publicly available databases but aims to capture an improved coverage of the innate immunity interactome through manual curation.","linked_records":[],"linking_records":[{"linking_record_name":"International Molecular Exchange Consortium (IMEx)","linking_record_id":3507,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11214},{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11248}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunology","Life Science"],"domains":["Protein interaction","Interactome","Molecular interaction","Immunity","Curated information","Protein","Pathway model"],"taxonomies":["Bos taurus","Homo sapiens","Mammalia","Mus musculus"],"user_defined_tags":[],"countries":["Australia","Canada","Ireland"],"publications":[{"id":596,"pubmed_id":23180781,"title":"InnateDB: systems biology of innate immunity and beyond--recent updates and continuing curation.","year":2012,"url":"http://doi.org/10.1093/nar/gks1147","authors":"Breuer K., Foroushani AK., Laird MR., Chen C., Sribnaia A., Lo R., Winsor GL., Hancock RE., Brinkman FS., Lynn DJ.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1147","created_at":"2021-09-30T08:23:25.387Z","updated_at":"2021-09-30T08:23:25.387Z"}],"licence_links":[{"licence_name":"InnateDB attribution required","licence_id":442,"licence_url":"https://www.innatedb.com/","link_id":1193,"relation":"undefined"}],"grants":[{"id":1518,"fairsharing_record_id":2053,"organisation_id":1737,"relation":"maintains","created_at":"2021-09-30T09:25:09.815Z","updated_at":"2021-09-30T09:25:09.815Z","grant_id":null,"is_lead":false,"saved_state":{"id":1737,"name":"Lynn Group, EMBL Australia","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1521,"fairsharing_record_id":2053,"organisation_id":1044,"relation":"funds","created_at":"2021-09-30T09:25:09.940Z","updated_at":"2021-09-30T09:25:09.940Z","grant_id":null,"is_lead":false,"saved_state":{"id":1044,"name":"Foundation for the National Institutes of Health (FNIH), Bethesda, MD, USA","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1519,"fairsharing_record_id":2053,"organisation_id":1018,"relation":"maintains","created_at":"2021-09-30T09:25:09.839Z","updated_at":"2021-09-30T09:25:09.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":1018,"name":"Fiona Brinkman Laboratory, Simon Fraser University, Greater Vancouver, BC, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1524,"fairsharing_record_id":2053,"organisation_id":940,"relation":"funds","created_at":"2021-09-30T09:25:10.015Z","updated_at":"2021-09-30T09:25:10.015Z","grant_id":null,"is_lead":false,"saved_state":{"id":940,"name":"European Molecular Biology Laboratory, Australia","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1525,"fairsharing_record_id":2053,"organisation_id":1209,"relation":"maintains","created_at":"2021-09-30T09:25:10.046Z","updated_at":"2021-09-30T09:25:10.046Z","grant_id":null,"is_lead":false,"saved_state":{"id":1209,"name":"Hancock Laboratory, University of British Columbia, Vancouver, Canada","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":1520,"fairsharing_record_id":2053,"organisation_id":61,"relation":"funds","created_at":"2021-09-30T09:25:09.864Z","updated_at":"2021-09-30T09:28:59.252Z","grant_id":43,"is_lead":false,"saved_state":{"id":61,"name":"Allergan","grant":"12ASI1","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":8065,"fairsharing_record_id":2053,"organisation_id":61,"relation":"funds","created_at":"2021-09-30T09:30:44.570Z","updated_at":"2021-09-30T09:30:44.620Z","grant_id":848,"is_lead":false,"saved_state":{"id":61,"name":"Allergan","grant":"12B\u0026B2","types":["Company"],"is_lead":false,"relation":"funds"}},{"id":11523,"fairsharing_record_id":2053,"organisation_id":1316,"relation":"undefined","created_at":"2024-03-21T13:58:00.692Z","updated_at":"2024-03-21T13:58:00.692Z","grant_id":null,"is_lead":false,"saved_state":{"id":1316,"name":"IMex Consortium","types":["Consortium"],"is_lead":false,"relation":"undefined"}},{"id":9179,"fairsharing_record_id":2053,"organisation_id":359,"relation":"funds","created_at":"2022-04-11T12:07:19.829Z","updated_at":"2022-04-11T12:07:19.850Z","grant_id":1506,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research (CIHR)","grant":"419","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2054","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:46.226Z","metadata":{"doi":"10.25504/FAIRsharing.65dmtr","name":"EcoCyc E. coli Database","status":"ready","contacts":[{"contact_name":"BioCyc Support","contact_email":"biocyc-support@ai.sri.com"}],"homepage":"https://ecocyc.org/","citations":[],"identifier":2054,"description":"EcoCyc is a model organism database for Escherichia coli K-12 MG1655. EcoCyc curation captures literature-based information on the functions of individual E. coli gene products, metabolic pathways, and regulation of E. coli gene expression. EcoCyc has been curated from 42,000 publications as of 2022. Updates to EcoCyc content continue to improve its comprehensive picture of E. coli biology. The utility of EcoCyc is enhanced by new tools available on the EcoCyc web site, and the development of EcoCyc as a teaching tool is increasing the impact of the knowledge collected in EcoCyc.","abbreviation":"EcoCyc","data_curation":{"url":"https://ecocyc.org/PToolsWebsiteHowto.shtml","type":"manual/automated"},"support_links":[{"url":"https://ecocyc.org/PToolsWebsiteHowto.shtml","name":"EcoCyc User Guide","type":"Help documentation"}],"data_versioning":"no","associated_tools":[{"url":"https://ecocyc.org/ECOLI/blast.html","name":"BLAST"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011277","name":"re3data:r3d100011277","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002433","name":"SciCrunch:RRID:SCR_002433","portal":"SciCrunch"}],"data_access_condition":{"url":"https://ecocyc.org/intro.shtml","type":"open","notes":"The EcoCyc and MetaCyc databases are freely available to all users because their curation is supported by NIH funding. The other BioCyc databases are available via subscription, which supports their curation"},"resource_sustainability":{"url":"https://ecocyc.org/funding.shtml","name":"BioCyc Funding Sources"},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ecocyc.org/intro.shtml","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000521","bsg-d000521"],"name":"FAIRsharing record for: EcoCyc E. coli Database","abbreviation":"EcoCyc","url":"https://fairsharing.org/10.25504/FAIRsharing.65dmtr","doi":"10.25504/FAIRsharing.65dmtr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: EcoCyc is a model organism database for Escherichia coli K-12 MG1655. EcoCyc curation captures literature-based information on the functions of individual E. coli gene products, metabolic pathways, and regulation of E. coli gene expression. EcoCyc has been curated from 42,000 publications as of 2022. Updates to EcoCyc content continue to improve its comprehensive picture of E. coli biology. The utility of EcoCyc is enhanced by new tools available on the EcoCyc web site, and the development of EcoCyc as a teaching tool is increasing the impact of the knowledge collected in EcoCyc.","linked_records":[],"linking_records":[{"linking_record_name":"Global Biodata Coalition - Global Core Biodata Resources","linking_record_id":4566,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16206}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Gene expression","Regulation of gene expression","Regulation of post-translational protein modification","Publication","Molecular interaction","Enzyme","Protein","Pathway model","Genome"],"taxonomies":["Escherichia coli"],"user_defined_tags":["Allosteric regulation"],"countries":["United States"],"publications":[{"id":2137,"pubmed_id":23143106,"title":"EcoCyc: fusing model organism databases with systems biology.","year":2012,"url":"http://doi.org/10.1093/nar/gks1027","authors":"Keseler IM., Mackie A., Peralta-Gil M. et al.","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1027","created_at":"2021-09-30T08:26:20.933Z","updated_at":"2021-09-30T08:26:20.933Z"},{"id":2180,"pubmed_id":27899573,"title":"The EcoCyc database: reflecting new knowledge about Escherichia coli K-12.","year":2016,"url":"http://doi.org/10.1093/nar/gkw1003","authors":"Keseler IM,Mackie A,Santos-Zavaleta A et al.","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkw1003","created_at":"2021-09-30T08:26:25.789Z","updated_at":"2021-09-30T11:29:30.703Z"},{"id":2590,"pubmed_id":26442933,"title":"The EcoCyc Database.","year":2014,"url":"http://doi.org/10.1128/ecosalplus.ESP-0009-2013","authors":"Karp PD,Weaver D,Paley S et al.","journal":"EcoSal Plus","doi":"10.1128/ecosalplus.ESP-0009-2013","created_at":"2021-09-30T08:27:17.817Z","updated_at":"2021-09-30T08:27:17.817Z"},{"id":3485,"pubmed_id":34394059,"title":"The EcoCyc Database in 2021.","year":2021,"url":"https://doi.org/10.3389/fmicb.2021.711077","authors":"Keseler IM, Gama-Castro S, Mackie A, Billington R, Bonavides-Martínez C, Caspi R, Kothari A, Krummenacker M, Midford PE, Muñiz-Rascado L, Ong WK, Paley S, Santos-Zavaleta A, Subhraveti P, Tierrafría VH, Wolfe AJ, Collado-Vides J, Paulsen IT, Karp PD","journal":"Frontiers in microbiology","doi":"10.3389/fmicb.2021.711077","created_at":"2022-07-21T15:54:00.716Z","updated_at":"2022-07-21T15:54:00.716Z"}],"licence_links":[{"licence_name":"BioCyc Database License","licence_id":78,"licence_url":"https://biocyc.org/download-flatfiles.shtml","link_id":1445,"relation":"undefined"}],"grants":[{"id":1526,"fairsharing_record_id":2054,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:25:10.085Z","updated_at":"2021-09-30T09:25:10.085Z","grant_id":null,"is_lead":true,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbHdCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--be0e7de8ba48d4b5f360325b3438c44eee65d3a9/ecocyc.png?disposition=inline","exhaustive_licences":false}},{"id":"2055","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-07-10T11:50:56.396Z","metadata":{"doi":"10.25504/FAIRsharing.zaa7w","name":"HumanCyc","status":"ready","contacts":[{"contact_name":"Peter Karp","contact_email":"pkarp@ai.sri.com","contact_orcid":"0000-0002-5876-6418"}],"homepage":"https://www.humancyc.org/","citations":[],"identifier":2055,"description":"HumanCyc is a bioinformatics database that describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://www.qmul.ac.uk/sbcs/iubmb/enzyme/","name":"Recommendations of the Nomenclature Committee of the IUBMB","type":"Help documentation"},{"url":"https://en.wikipedia.org/wiki/Enzyme_Commission_number","name":"EC Number","type":"Wikipedia"}],"year_creation":2004,"data_versioning":"no","associated_tools":[{"url":"https://humancyc.org/HUMAN/blast.html?refdb=ALL","name":"BLAST HumanCyc"},{"url":"https://bioinformatics.ai.sri.com/ptools/ptools-features.shtml","name":"Pathway Tools"},{"url":"https://humancyc.org/metabolite-translation-service.shtml","name":"Metabolite Translation Service"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011286","name":"re3data:r3d100011286","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_007050","name":"SciCrunch:RRID:SCR_007050","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://biocyc.org/PToolsWebsiteHowto.shtml?sid=biocyc15-3898332490#TAG:__tex2page_sec_4","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000522","bsg-d000522"],"name":"FAIRsharing record for: HumanCyc","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.zaa7w","doi":"10.25504/FAIRsharing.zaa7w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: HumanCyc is a bioinformatics database that describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Endocrinology","Genomics","Proteomics","Life Science","Metabolomics","Systems Biology"],"domains":["Reaction data","Omics data analysis","Pathway model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":499,"pubmed_id":15642094,"title":"Computational prediction of human metabolic pathways from the complete human genome.","year":2005,"url":"http://doi.org/10.1186/gb-2004-6-1-r2","authors":"Romero P., Wagg J., Green ML., Kaiser D., Krummenacker M., Karp PD.,","journal":"Genome Biol.","doi":"10.1186/gb-2004-6-1-r2","created_at":"2021-09-30T08:23:14.201Z","updated_at":"2021-09-30T08:23:14.201Z"},{"id":4314,"pubmed_id":null,"title":"The BioCyc collection of microbial genomes and metabolic pathways","year":2017,"url":"http://dx.doi.org/10.1093/bib/bbx085","authors":"Karp, Peter D; Billington, Richard; Caspi, Ron; Fulcher, Carol A; Latendresse, Mario; Kothari, Anamika; Keseler, Ingrid M; Krummenacker, Markus; Midford, Peter E; Ong, Quang; Ong, Wai Kit; Paley, Suzanne M; Subhraveti, Pallavi; ","journal":"Briefings in Bioinformatics","doi":"10.1093/bib/bbx085","created_at":"2024-07-10T11:48:20.725Z","updated_at":"2024-07-10T11:48:20.725Z"}],"licence_links":[{"licence_name":"BioCyc Individual Subscription Licence Terms","licence_id":1113,"licence_url":"https://biocyc.org/subscription-terms.txt","link_id":3683,"relation":"applies_to_content"}],"grants":[{"id":1529,"fairsharing_record_id":2055,"organisation_id":2620,"relation":"maintains","created_at":"2021-09-30T09:25:10.196Z","updated_at":"2021-09-30T09:25:10.196Z","grant_id":null,"is_lead":true,"saved_state":{"id":2620,"name":"SRI International, California, USA","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":1527,"fairsharing_record_id":2055,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:10.117Z","updated_at":"2021-09-30T09:29:15.029Z","grant_id":158,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01-GM65466-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1530,"fairsharing_record_id":2055,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:10.239Z","updated_at":"2021-09-30T09:32:23.971Z","grant_id":1602,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01-HG02729-01","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9396,"fairsharing_record_id":2055,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.577Z","updated_at":"2022-04-11T12:07:35.593Z","grant_id":518,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","grant":"DE-FG03-01ER63219","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2051","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:34.574Z","metadata":{"doi":"10.25504/FAIRsharing.z1czxj","name":"PeroxiBase","status":"ready","contacts":[{"contact_name":"Christophe Dunand","contact_email":"dunand@lrsv.ups-tlse.fr","contact_orcid":"0000-0003-1637-4042"}],"homepage":"http://peroxibase.toulouse.inra.fr/","citations":[],"identifier":2051,"description":"Peroxibase provides access to peroxidase sequences from all kingdoms of life, and provides a series of bioinformatics tools and facilities suitable for analysing these sequences.","abbreviation":"PeroxiBase","data_curation":{"url":"http://peroxibase.toulouse.inra.fr/infos/annotations.php","type":"automated"},"year_creation":2004,"data_versioning":"not found","associated_tools":[{"url":"http://peroxibase.toulouse.inra.fr/tools/blast.php","name":"BLAST"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000518","bsg-d000518"],"name":"FAIRsharing record for: PeroxiBase","abbreviation":"PeroxiBase","url":"https://fairsharing.org/10.25504/FAIRsharing.z1czxj","doi":"10.25504/FAIRsharing.z1czxj","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Peroxibase provides access to peroxidase sequences from all kingdoms of life, and provides a series of bioinformatics tools and facilities suitable for analysing these sequences.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Sequence annotation","Biological regulation","Enzyme","Protein","Sequence"],"taxonomies":["All"],"user_defined_tags":[],"countries":["France"],"publications":[{"id":92,"pubmed_id":23180785,"title":"PeroxiBase: a database for large-scale evolutionary analysis of peroxidases.","year":2012,"url":"http://doi.org/10.1093/nar/gks1083","authors":"Fawal N., Li Q., Savelli B., Brette M., Passaia G., Fabre M., Mathé C., Dunand C.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1083","created_at":"2021-09-30T08:22:30.463Z","updated_at":"2021-09-30T08:22:30.463Z"},{"id":863,"pubmed_id":19112168,"title":"PeroxiBase: a powerful tool to collect and analyse peroxidase sequences from Viridiplantae.","year":2008,"url":"http://doi.org/10.1093/jxb/ern317","authors":"Oliva M., Theiler G., Zamocky M., Koua D., Margis-Pinheiro M., Passardi F., Dunand C.,","journal":"J. Exp. Bot.","doi":"10.1093/jxb/ern317","created_at":"2021-09-30T08:23:55.338Z","updated_at":"2021-09-30T08:23:55.338Z"}],"licence_links":[{"licence_name":"PeroxiBase Attribution required","licence_id":657,"licence_url":"https://peroxibase.toulouse.inra.fr/infos/publications","link_id":988,"relation":"undefined"}],"grants":[{"id":1515,"fairsharing_record_id":2051,"organisation_id":1665,"relation":"funds","created_at":"2021-09-30T09:25:09.725Z","updated_at":"2021-09-30T09:25:09.725Z","grant_id":null,"is_lead":false,"saved_state":{"id":1665,"name":"Laboratoire de Recherche en Sciences Vegetales (LRSV), Toulouse, France","types":["Lab"],"is_lead":false,"relation":"funds"}},{"id":1514,"fairsharing_record_id":2051,"organisation_id":2066,"relation":"funds","created_at":"2021-09-30T09:25:09.687Z","updated_at":"2021-09-30T09:25:09.687Z","grant_id":null,"is_lead":false,"saved_state":{"id":2066,"name":"National Research Institute for Agriculture, Food and Environment (INRAE), France","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1516,"fairsharing_record_id":2051,"organisation_id":1120,"relation":"funds","created_at":"2021-09-30T09:25:09.762Z","updated_at":"2021-09-30T09:25:09.762Z","grant_id":null,"is_lead":false,"saved_state":{"id":1120,"name":"GenoToul Bioinformatics, France","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2083","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:44.864Z","metadata":{"doi":"10.25504/FAIRsharing.kexkq9","name":"CarpeDB","status":"ready","contacts":[{"contact_name":"Bryan Herren","contact_email":"carpedb@bama.ua.edu"}],"homepage":"http://www.carpedb.ua.edu","identifier":2083,"description":"CarpeDB serves as a novel source for epilepsy researchers by featuring scores of \"epilepsy genes\" and associated publications in one locus. Furthermore, multiple genes implicated in epilepsy are also implicated in other human disorders.","abbreviation":"CarpeDB","data_curation":{"type":"manual"},"support_links":[{"url":"http://carpedb.ua.edu/searchinstruct.cfm","type":"Help documentation"}],"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"not found","data_deposition_condition":{"url":"http://carpedb.ua.edu/","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000551","bsg-d000551"],"name":"FAIRsharing record for: CarpeDB","abbreviation":"CarpeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.kexkq9","doi":"10.25504/FAIRsharing.kexkq9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CarpeDB serves as a novel source for epilepsy researchers by featuring scores of \"epilepsy genes\" and associated publications in one locus. Furthermore, multiple genes implicated in epilepsy are also implicated in other human disorders.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Epilepsy","Publication","Disorder","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":722,"relation":"undefined"}],"grants":[{"id":1603,"fairsharing_record_id":2083,"organisation_id":3010,"relation":"maintains","created_at":"2021-09-30T09:25:13.350Z","updated_at":"2021-09-30T09:25:13.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":3010,"name":"University of Alabama, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2081","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-03-21T15:45:53.077Z","metadata":{"doi":"10.25504/FAIRsharing.5tfcy8","name":"A CLAssification of Mobile genetic Elements","status":"deprecated","contacts":[{"contact_email":"raphael@bigre.ulb.ac.be"}],"homepage":"http://aclame.ulb.ac.be/","citations":[],"identifier":2081,"description":"ACLAME is a database dedicated to the collection and classification of mobile genetic elements (MGEs) from various sources, comprising all known phage genomes, plasmids and transposons.","abbreviation":"ACLAME","data_curation":{"type":"not found"},"support_links":[{"url":"http://aclame.ulb.ac.be/Classification/description.html","type":"Help documentation"}],"year_creation":2003,"data_versioning":"not found","associated_tools":[{"url":"http://aclame.ulb.ac.be/perl/Aclame/show_cluster.cgi?mode=list","name":"browse"},{"url":"http://aclame.ulb.ac.be/Tools/blast.html","name":"BLAST"},{"url":"http://aclame.ulb.ac.be/Tools/Prophinder/","name":"Prophinder"}],"deprecation_date":"2023-03-20","deprecation_reason":"This resource is no longer accessible and a new homepage cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000549","bsg-d000549"],"name":"FAIRsharing record for: A CLAssification of Mobile genetic Elements","abbreviation":"ACLAME","url":"https://fairsharing.org/10.25504/FAIRsharing.5tfcy8","doi":"10.25504/FAIRsharing.5tfcy8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ACLAME is a database dedicated to the collection and classification of mobile genetic elements (MGEs) from various sources, comprising all known phage genomes, plasmids and transposons.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene","Genome"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":1371,"pubmed_id":14681355,"title":"ACLAME: a CLAssification of Mobile genetic Elements.","year":2003,"url":"http://doi.org/10.1093/nar/gkh084","authors":"Leplae R., Hebrant A., Wodak SJ., Toussaint A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkh084","created_at":"2021-09-30T08:24:53.350Z","updated_at":"2021-09-30T08:24:53.350Z"},{"id":1373,"pubmed_id":19933762,"title":"ACLAME: a CLAssification of Mobile genetic Elements, update 2010.","year":2009,"url":"http://doi.org/10.1093/nar/gkp938","authors":"Leplae R., Lima-Mendez G., Toussaint A.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp938","created_at":"2021-09-30T08:24:53.576Z","updated_at":"2021-09-30T08:24:53.576Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":720,"relation":"undefined"}],"grants":[{"id":1593,"fairsharing_record_id":2081,"organisation_id":198,"relation":"funds","created_at":"2021-09-30T09:25:12.944Z","updated_at":"2021-09-30T09:25:12.944Z","grant_id":null,"is_lead":false,"saved_state":{"id":198,"name":"Belgian Science Policy Office (Belspo), Belgium","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1594,"fairsharing_record_id":2081,"organisation_id":1031,"relation":"funds","created_at":"2021-09-30T09:25:12.981Z","updated_at":"2021-09-30T09:25:12.981Z","grant_id":null,"is_lead":false,"saved_state":{"id":1031,"name":"Fonds De La Recherche Scientifique (FNRS), France","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1596,"fairsharing_record_id":2081,"organisation_id":2993,"relation":"maintains","created_at":"2021-09-30T09:25:13.052Z","updated_at":"2021-09-30T09:25:13.052Z","grant_id":null,"is_lead":false,"saved_state":{"id":2993,"name":"Universite Libre de Bruxelles","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1595,"fairsharing_record_id":2081,"organisation_id":957,"relation":"funds","created_at":"2021-09-30T09:25:13.019Z","updated_at":"2021-09-30T09:32:22.388Z","grant_id":1589,"is_lead":false,"saved_state":{"id":957,"name":"European Space Agency","grant":"C90254","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2084","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:15.286Z","metadata":{"doi":"10.25504/FAIRsharing.sye5js","name":"The Human Metabolome Database","status":"ready","contacts":[{"contact_email":"david.wishart@ualberta.ca"}],"homepage":"https://hmdb.ca/","citations":[],"identifier":2084,"description":"The Human Metabolome Database (HMDB) is a freely available electronic database containing detailed information about small molecule metabolites found in the human body. It is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. The database is designed to contain or link three kinds of data: 1) chemical data, 2) clinical data, and 3) molecular biology/biochemistry data. The database contains 220,945 metabolite entries including both water-soluble and lipid soluble metabolites. Additionally, 8,610 protein sequences (enzymes and transporters) are linked to these metabolite entries. Each MetaboCard entry contains 130 data fields with 2/3 of the information being devoted to chemical/clinical data and the other 1/3 devoted to enzymatic or biochemical data. Many data fields are hyperlinked to other databases (KEGG, PubChem, MetaCyc, ChEBI, PDB, UniProt, and GenBank) and a variety of structure and pathway viewing applets. The HMDB database supports extensive text, sequence, chemical structure, MS and NMR spectral query searches. Four additional databases, DrugBank, T3DB, SMPDB and FooDB are also part of the HMDB suite of databases. \n","abbreviation":"HMDB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.hmdb.ca/about","type":"Help documentation"},{"url":"https://twitter.com/WishartLab","type":"Twitter"}],"year_creation":2007,"data_versioning":"yes","associated_tools":[{"url":"http://www.hmdb.ca/textquery","name":"search"},{"url":"http://www.hmdb.ca/advanced_search","name":"advanced search"},{"url":"http://www.hmdb.ca/seqsearch","name":"BLAST"},{"url":"http://www.hmdb.ca/spectra/ms/search","name":"spectral search"},{"url":"http://www.hmdb.ca/chemquery","name":"chemical search"},{"url":"http://www.hmdb.ca/metabolites","name":"browse"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011285","name":"re3data:r3d100011285","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_013647","name":"SciCrunch:RRID:SCR_013647","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000552","bsg-d000552"],"name":"FAIRsharing record for: The Human Metabolome Database","abbreviation":"HMDB","url":"https://fairsharing.org/10.25504/FAIRsharing.sye5js","doi":"10.25504/FAIRsharing.sye5js","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Human Metabolome Database (HMDB) is a freely available electronic database containing detailed information about small molecule metabolites found in the human body. It is intended to be used for applications in metabolomics, clinical chemistry, biomarker discovery and general education. The database is designed to contain or link three kinds of data: 1) chemical data, 2) clinical data, and 3) molecular biology/biochemistry data. The database contains 220,945 metabolite entries including both water-soluble and lipid soluble metabolites. Additionally, 8,610 protein sequences (enzymes and transporters) are linked to these metabolite entries. Each MetaboCard entry contains 130 data fields with 2/3 of the information being devoted to chemical/clinical data and the other 1/3 devoted to enzymatic or biochemical data. Many data fields are hyperlinked to other databases (KEGG, PubChem, MetaCyc, ChEBI, PDB, UniProt, and GenBank) and a variety of structure and pathway viewing applets. The HMDB database supports extensive text, sequence, chemical structure, MS and NMR spectral query searches. Four additional databases, DrugBank, T3DB, SMPDB and FooDB are also part of the HMDB suite of databases. \n","linked_records":[],"linking_records":[{"linking_record_name":"H2020 Phenome and Metabolome aNalysis (PhenoMenal) Project","linking_record_id":3503,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11044},{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11777}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Biochemistry","Bioinformatics","Proteomics","Life Science","Metabolomics","Phenomics","Omics"],"domains":["Lipid","Molecular entity","Chemical entity","Metabolite","Small molecule"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":532,"pubmed_id":23161693,"title":"HMDB 3.0--The Human Metabolome Database in 2013","year":2012,"url":"http://doi.org/10.1093/nar/gks1065","authors":"David S Wishart, Timothy Jewison, An Chi Guo, Michael Wilson, Craig Knox, Yifeng Liu, Yannick Djoumbou, Rupasri Mandal, Farid Aziat, Edison Dong, Souhaila Bouatra, Igor Sinelnikov, David Arndt, Jianguo Xia, Philip Liu, Faizath Yallou, Trent Bjorndahl, Rolando Perez-Pineiro, Roman Eisner, Felicity Allen, Vanessa Neveu, Russ Greiner, Augustin Scalbert","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gks1065","created_at":"2021-09-30T08:23:18.134Z","updated_at":"2022-08-29T17:37:04.248Z"},{"id":2370,"pubmed_id":17202168,"title":"HMDB: the Human Metabolome Database.","year":2007,"url":"http://doi.org/10.1093/nar/gkl923","authors":"David S. Wishart, Dan Tzur, Craig Knox, Roman Eisner, An Chi Guo, Nelson Young, Dean Cheng, Kevin Jewell, David Arndt, Summit Sawhney, Chris Fung, Lisa Nikolai, Mike Lewis, Marie-Aude Coutouly, Ian Forsythe, Peter Tang, Savita Shrivastava, Kevin Jeroncic, Paul Stothard, Godwin Amegbey, David Block, David. D. Hau, James Wagner, Jessica Miniaci, Melisa Clements, Mulu Gebremedhin, Natalie Guo, Ying Zhang, Gavin E. Duggan, Glen D. MacInnis, Alim M. Weljie, Reza Dowlatabadi, Fiona Bamforth, Derrick Clive, Russ Greiner, Liang Li, Tom Marrie, Brian D. Sykes, Hans J. Vogel, Lori Querengesser","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkl923","created_at":"2021-09-30T08:26:51.369Z","updated_at":"2022-08-29T17:34:14.720Z"},{"id":2371,"pubmed_id":17202168,"title":"HMDB: a knowledgebase for the human metabolome","year":2008,"url":"http://doi.org/10.1093/nar/gkn810","authors":"David S Wishart, Dan Tzur, Craig Knox, Roman Eisner, An Chi Guo, Nelson Young, Dean Cheng, Kevin Jewell, David Arndt, Summit Sawhney, Chris Fung, Lisa Nikolai, Mike Lewis, Marie-Aude Coutouly, Ian Forsythe, Peter Tang, Savita Shrivastava, Kevin Jeroncic, Paul Stothard, Godwin Amegbey, David Block, David D Hau, James Wagner, Jessica Miniaci, Melisa Clements, Mulu Gebremedhin, Natalie Guo, Ying Zhang, Gavin E Duggan, Glen D Macinnis, Alim M Weljie, Reza Dowlatabadi, Fiona Bamforth, Derrick Clive, Russ Greiner, Liang Li, Tom Marrie, Brian D Sykes, Hans J Vogel, Lori Querengesser","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn810","created_at":"2021-09-30T08:26:51.478Z","updated_at":"2022-08-29T17:37:48.347Z"},{"id":3567,"pubmed_id":29140435,"title":"HMDB 4.0: the human metabolome database for 2018","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx1089","authors":"Wishart, David S; Feunang, Yannick Djoumbou; Marcu, Ana; Guo, An Chi; Liang, Kevin; Vázquez-Fresno, Rosa; Sajed, Tanvir; Johnson, Daniel; Li, Carin; Karu, Naama; Sayeeda, Zinat; Lo, Elvis; Assempour, Nazanin; Berjanskii, Mark; Singhal, Sandeep; Arndt, David; Liang, Yonjie; Badran, Hasan; Grant, Jason; Serra-Cayuela, Arnau; Liu, Yifeng; Mandal, Rupa; Neveu, Vanessa; Pon, Allison; Knox, Craig; Wilson, Michael; Manach, Claudine; Scalbert, Augustin; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1089","created_at":"2022-08-29T17:32:16.019Z","updated_at":"2022-08-29T17:32:16.019Z"},{"id":3568,"pubmed_id":34986597,"title":"HMDB 5.0: the Human Metabolome Database for 2022","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1062","authors":"Wishart, David S; Guo, AnChi; Oler, Eponine; Wang, Fei; Anjum, Afia; Peters, Harrison; Dizon, Raynard; Sayeeda, Zinat; Tian, Siyang; Lee, Brian L; Berjanskii, Mark; Mah, Robert; Yamamoto, Mai; Jovel, Juan; Torres-Calzada, Claudia; Hiebert-Giesbrecht, Mickel; Lui, Vicki W; Varshavi, Dorna; Varshavi, Dorsa; Allen, Dana; Arndt, David; Khetarpal, Nitya; Sivakumaran, Aadhavya; Harford, Karxena; Sanford, Selena; Yee, Kristen; Cao, Xuan; Budinski, Zachary; Liigand, Jaanus; Zhang, Lun; Zheng, Jiamin; Mandal, Rupasri; Karu, Naama; Dambrova, Maija; Schiöth, Helgi B; Greiner, Russell; Gautam, Vasuk; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1062","created_at":"2022-08-29T17:32:55.907Z","updated_at":"2022-08-29T17:32:55.907Z"}],"licence_links":[{"licence_name":"HMDB Attribution required","licence_id":399,"licence_url":"https://hmdb.ca/citing","link_id":1629,"relation":"undefined"},{"licence_name":"HMDB No derivatives without permission","licence_id":400,"licence_url":"https://hmdb.ca/about","link_id":1630,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2085","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-03-26T09:50:46.589Z","metadata":{"doi":"10.25504/FAIRsharing.psn0h2","name":"Toxin and Toxin Target Database","status":"ready","contacts":[{"contact_name":"David Wishart","contact_email":"david.wishart@ualberta.ca","contact_orcid":"0000-0002-3207-2434"}],"homepage":"http://www.t3db.ca/","citations":[],"identifier":2085,"description":"Toxin and Toxin Target Database (T3DB)The Toxin and Toxin Target Database (T3DB) is a bioinformatics resource that combines detailed toxin data with comprehensive toxin target information. Each toxin record (ToxCard) contains over 90 data fields and holds information such as chemical properties and descriptors, toxicity values, molecular and cellular interactions, and medical information. This information has been extracted from a variety of sources, including other databases, government documents, books, and scientific literature.\n\nThe focus of the T3DB is on providing mechanisms of toxicity and target proteins for each toxin. It is also fully searchable and supports extensive text, sequence, chemical structure, and relational query searches. Potential applications of T3DB include toxin metabolism prediction, toxin/drug interaction prediction, and general toxin hazard awareness by the public, making it applicable to various fields.","abbreviation":"T3DB","data_curation":{"url":"http://www.t3db.ca/sources","type":"manual/automated"},"support_links":[{"url":"http://www.t3db.ca/help/fields","name":"Documentation","type":"Help documentation"},{"url":"http://www.t3db.ca/about","name":"About","type":"Help documentation"},{"url":"https://twitter.com/WishartLab","name":"@WishartLab","type":"Twitter"}],"year_creation":2009,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012189","name":"re3data:r3d100012189","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_002672","name":"SciCrunch:RRID:SCR_002672","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000553","bsg-d000553"],"name":"FAIRsharing record for: Toxin and Toxin Target Database","abbreviation":"T3DB","url":"https://fairsharing.org/10.25504/FAIRsharing.psn0h2","doi":"10.25504/FAIRsharing.psn0h2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Toxin and Toxin Target Database (T3DB)The Toxin and Toxin Target Database (T3DB) is a bioinformatics resource that combines detailed toxin data with comprehensive toxin target information. Each toxin record (ToxCard) contains over 90 data fields and holds information such as chemical properties and descriptors, toxicity values, molecular and cellular interactions, and medical information. This information has been extracted from a variety of sources, including other databases, government documents, books, and scientific literature.\n\nThe focus of the T3DB is on providing mechanisms of toxicity and target proteins for each toxin. It is also fully searchable and supports extensive text, sequence, chemical structure, and relational query searches. Potential applications of T3DB include toxin metabolism prediction, toxin/drug interaction prediction, and general toxin hazard awareness by the public, making it applicable to various fields.","linked_records":[],"linking_records":[{"linking_record_name":"ELIXIR Toxicology Community","linking_record_id":3496,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":16493}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Toxicology","Chemistry","Medical Toxicology","Biomedical Science"],"domains":["Molecular entity","Drug","Drug metabolic process","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Canada"],"publications":[{"id":519,"pubmed_id":19897546,"title":"T3DB: a comprehensively annotated database of common toxins and their targets.","year":2009,"url":"http://doi.org/10.1093/nar/gkp934","authors":"Lim E., Pon A., Djoumbou Y., Knox C., Shrivastava S., Guo AC., Neveu V., Wishart DS.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkp934","created_at":"2021-09-30T08:23:16.659Z","updated_at":"2021-09-30T08:23:16.659Z"},{"id":1608,"pubmed_id":25378312,"title":"T3DB: the toxic exposome database.","year":2014,"url":"http://doi.org/10.1093/nar/gku1004","authors":"Wishart D,Arndt D,Pon A,Sajed T,Guo AC,Djoumbou Y,Knox C,Wilson M,Liang Y,Grant J,Liu Y,Goldansaz SA,Rappaport SM","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1004","created_at":"2021-09-30T08:25:20.260Z","updated_at":"2021-09-30T11:29:15.644Z"}],"licence_links":[{"licence_name":"T3DB Terms of Use","licence_id":1102,"licence_url":"http://www.t3db.ca/downloads","link_id":3565,"relation":"applies_to_content"}],"grants":[{"id":1605,"fairsharing_record_id":2085,"organisation_id":359,"relation":"funds","created_at":"2021-09-30T09:25:13.409Z","updated_at":"2021-09-30T09:32:46.295Z","grant_id":1770,"is_lead":false,"saved_state":{"id":359,"name":"Canadian Institutes of Health Research","grant":"111062","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1607,"fairsharing_record_id":2085,"organisation_id":2799,"relation":"maintains","created_at":"2021-09-30T09:25:13.527Z","updated_at":"2024-03-26T08:51:09.813Z","grant_id":null,"is_lead":false,"saved_state":{"id":2799,"name":"The Metabolomics Innovation Centre","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":11625,"fairsharing_record_id":2085,"organisation_id":354,"relation":"maintains","created_at":"2024-03-26T08:51:08.793Z","updated_at":"2024-03-26T08:51:08.793Z","grant_id":null,"is_lead":false,"saved_state":{"id":354,"name":"Canada Foundation for Innovation","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":11627,"fairsharing_record_id":2085,"organisation_id":1107,"relation":"funds","created_at":"2024-03-26T08:51:09.313Z","updated_at":"2024-03-26T08:51:09.313Z","grant_id":null,"is_lead":false,"saved_state":{"id":1107,"name":"Genome Alberta, Alberta, Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11626,"fairsharing_record_id":2085,"organisation_id":1111,"relation":"funds","created_at":"2024-03-26T08:51:08.833Z","updated_at":"2024-03-26T08:51:08.833Z","grant_id":null,"is_lead":false,"saved_state":{"id":1111,"name":"Genome Canada","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":11628,"fairsharing_record_id":2085,"organisation_id":1109,"relation":"funds","created_at":"2024-03-26T08:51:09.459Z","updated_at":"2024-03-26T08:51:09.459Z","grant_id":null,"is_lead":false,"saved_state":{"id":1109,"name":"Genome British Columbia, Canada","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":11612,"fairsharing_record_id":2085,"organisation_id":3309,"relation":"maintains","created_at":"2024-03-21T13:59:38.819Z","updated_at":"2024-03-26T08:51:09.931Z","grant_id":null,"is_lead":true,"saved_state":{"id":3309,"name":"Wishart Lab, University of Alberta","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaGNFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--4767ec568a9519169473e68911fa244c9bbc23cb/Screenshot%20from%202024-03-26%2008-41-24.png?disposition=inline","exhaustive_licences":true}},{"id":"2070","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:38:42.576Z","metadata":{"doi":"10.25504/FAIRsharing.pdx9yt","name":"Aspergillus Genomes","status":"deprecated","contacts":[{"contact_name":"Jane E. Mabey Gilsenan","contact_email":"jane.gilsenan@manchester.ac.uk"}],"homepage":"http://www.aspergillus-genomes.org.uk/","identifier":2070,"description":"Aspergillus Genomes is a resource for viewing annotated genes arising from various Aspergillus sequencing and annotation projects.","abbreviation":null,"data_curation":{"type":"not found"},"support_links":[{"url":"http://www.aspergillusblog.blogspot.co.uk","type":"Blog/News"},{"url":"admin@aspergillus.org.uk","type":"Support email"},{"url":"http://www.aspergillus.org.uk/content/proposal-naming-genes-aspergillus-species","type":"Help documentation"},{"url":"http://www.aspergillus.org.uk/content/aspergillus-genomics-research-policy-committee-meeting-minutes","type":"Help documentation"}],"data_versioning":"not found","associated_tools":[{"url":"http://www.cadre-genomes.org.uk/Aspergillus_fumigatus/blastview","name":"blast"}],"deprecation_date":"2021-06-25","deprecation_reason":"This resource has been deprecated because the homepage no longer exists and the project has been obsoleted. Please see https://www.aspergillus.org.uk/genomes/aspergillus-genomes/ for more information","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000537","bsg-d000537"],"name":"FAIRsharing record for: Aspergillus Genomes","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.pdx9yt","doi":"10.25504/FAIRsharing.pdx9yt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Aspergillus Genomes is a resource for viewing annotated genes arising from various Aspergillus sequencing and annotation projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Gene","Genome"],"taxonomies":["Aspergillus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":128,"pubmed_id":19039001,"title":"Aspergillus genomes and the Aspergillus cloud.","year":2008,"url":"http://doi.org/10.1093/nar/gkn876","authors":"Mabey Gilsenan JE., Atherton G., Bartholomew J., Giles PF., Attwood TK., Denning DW., Bowyer P.,","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkn876","created_at":"2021-09-30T08:22:34.064Z","updated_at":"2021-09-30T08:22:34.064Z"}],"licence_links":[{"licence_name":"Open Data Commons Public Domain Dedication \u0026 License (PDDL) 1.0","licence_id":620,"licence_url":"http://opendatacommons.org/licenses/pddl/1.0/","link_id":1186,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2086","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:32:52.553Z","metadata":{"doi":"10.25504/FAIRsharing.wfrsvq","name":"gpDB","status":"ready","contacts":[{"contact_name":"General Contact","contact_email":"contactbiodb@biol.uoa.gr"}],"homepage":"http://bioinformatics.biol.uoa.gr/gpDB","identifier":2086,"description":"GpDB is a publicly accessible, relational database of G-proteins and their interactions with GPCRs and effector molecules. The sequences are classified according to a hierarchy of different classes, families and sub-families, based on extensive literature search.","abbreviation":"gpDB","data_curation":{"url":"http://bioinformatics.biol.uoa.gr/gpDB/help/manual.htm#_Data_annotation","type":"manual"},"support_links":[{"url":"http://bioinformatics.biol.uoa.gr/gpDB/help/manual.htm","type":"Help documentation"},{"url":"http://bioinformatics.biol.uoa.gr/gpDB/help/manual.htm","type":"Help documentation"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://bioinformatics.biol.uoa.gr/gpDB/retrieveBla.jsp","name":"BLAST"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000554","bsg-d000554"],"name":"FAIRsharing record for: gpDB","abbreviation":"gpDB","url":"https://fairsharing.org/10.25504/FAIRsharing.wfrsvq","doi":"10.25504/FAIRsharing.wfrsvq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GpDB is a publicly accessible, relational database of G-proteins and their interactions with GPCRs and effector molecules. The sequences are classified according to a hierarchy of different classes, families and sub-families, based on extensive literature search.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Small molecule","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Greece"],"publications":[{"id":511,"pubmed_id":18441001,"title":"gpDB: a database of GPCRs, G-proteins, effectors and their interactions.","year":2008,"url":"http://doi.org/10.1093/bioinformatics/btn206","authors":"Theodoropoulou MC., Bagos PG., Spyropoulos IC., Hamodrakas SJ.,","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btn206","created_at":"2021-09-30T08:23:15.775Z","updated_at":"2021-09-30T08:23:15.775Z"},{"id":534,"pubmed_id":15619328,"title":"A database for G proteins and their interaction with GPCRs.","year":2004,"url":"http://doi.org/10.1186/1471-2105-5-208","authors":"Elefsinioti AL., Bagos PG., Spyropoulos IC., Hamodrakas SJ.,","journal":"BMC Bioinformatics","doi":"10.1186/1471-2105-5-208","created_at":"2021-09-30T08:23:18.353Z","updated_at":"2021-09-30T08:23:18.353Z"}],"licence_links":[{"licence_name":"GpDB Attribution required","licence_id":363,"licence_url":"http://bioinformatics.biol.uoa.gr/gpDB/index.jsp","link_id":520,"relation":"undefined"}],"grants":[{"id":1609,"fairsharing_record_id":2086,"organisation_id":3015,"relation":"maintains","created_at":"2021-09-30T09:25:13.593Z","updated_at":"2021-09-30T09:25:13.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":3015,"name":"University of Athens, Greece","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2135","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:47.495Z","metadata":{"doi":"10.25504/FAIRsharing.1fbc5y","name":"arrayMap - Genomic Array Data for Cancer CNV Profiles","status":"ready","contacts":[{"contact_name":"Michael Baudis","contact_email":"mbaudis@me.com","contact_orcid":"0000-0002-9903-4248"}],"homepage":"http://arraymap.org","identifier":2135,"description":"Part of the Progenetix project, the arrayMap database facilitates the study of the genetics of human cancer. The Progenetix project provides the data customisation and visualization tools to mine the available data. The arrayMap database is developed by the group \"Theoretical Cytogenetics and Oncogenomics\" at the Department of Molecular Life Sciences of the University of Zurich.","abbreviation":"arrayMap","data_curation":{"type":"manual"},"support_links":[{"url":"http://info.progenetix.org","name":"Progenetix Documentation","type":"Help documentation"},{"url":"https://twitter.com/progenetix","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","associated_tools":[{"url":"http://arraymap.org/score/","name":"CNA frequency in Cancer"},{"url":"http://arraymap.org/upload/","name":"Copy Number Segment Plotter"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012630","name":"re3data:r3d100012630","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://github.com/progenetix/oncopubs","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000605","bsg-d000605"],"name":"FAIRsharing record for: arrayMap - Genomic Array Data for Cancer CNV Profiles","abbreviation":"arrayMap","url":"https://fairsharing.org/10.25504/FAIRsharing.1fbc5y","doi":"10.25504/FAIRsharing.1fbc5y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Part of the Progenetix project, the arrayMap database facilitates the study of the genetics of human cancer. The Progenetix project provides the data customisation and visualization tools to mine the available data. The arrayMap database is developed by the group \"Theoretical Cytogenetics and Oncogenomics\" at the Department of Molecular Life Sciences of the University of Zurich.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11361},{"linking_record_name":"ELIXIR Non-CDR and Non-Deposition Database","linking_record_id":3535,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12173},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12699}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Bioinformatics","Life Science","Biomedical Science"],"domains":["Expression data","Cancer","DNA microarray","Chromosomal aberration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":595,"pubmed_id":22629346,"title":"arrayMap: a reference resource for genomic copy number imbalances in human malignancies.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0036944","authors":"Cai H, Kumar N, Baudis M.","journal":"PLoS One. 2012;7(5):e36944.","doi":"10.1371/journal.pone.0036944","created_at":"2021-09-30T08:23:25.276Z","updated_at":"2021-09-30T08:23:25.276Z"},{"id":1259,"pubmed_id":25428357,"title":"arrayMap 2014: an updated cancer genome resource.","year":2014,"url":"http://doi.org/10.1093/nar/gku1123","authors":"Cai H,Gupta S,Rath P,Ai N,Baudis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1123","created_at":"2021-09-30T08:24:40.464Z","updated_at":"2021-09-30T11:29:04.243Z"},{"id":1260,"pubmed_id":24476156,"title":"Chromothripsis-like patterns are recurring but heterogeneously distributed features in a survey of 22,347 cancer genome screens.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-82","authors":"Cai H,Kumar N,Bagheri HC,von Mering C,Robinson MD,Baudis M","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-82","created_at":"2021-09-30T08:24:40.592Z","updated_at":"2021-09-30T08:24:40.592Z"},{"id":1279,"pubmed_id":26615188,"title":"The SIB Swiss Institute of Bioinformatics' resources: focus on curated databases.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1310","authors":"SIB Swiss Institute of Bioinformatics Members","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1310","created_at":"2021-09-30T08:24:42.741Z","updated_at":"2021-09-30T11:29:05.268Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 2.5 Switzerland (CC BY-NC-ND 2.5 CH)","licence_id":176,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/2.5/ch/","link_id":640,"relation":"undefined"}],"grants":[{"id":1758,"fairsharing_record_id":2135,"organisation_id":3155,"relation":"maintains","created_at":"2021-09-30T09:25:19.484Z","updated_at":"2021-09-30T09:25:19.484Z","grant_id":null,"is_lead":false,"saved_state":{"id":3155,"name":"University of Zurich, Switzerland","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1757,"fairsharing_record_id":2135,"organisation_id":2682,"relation":"maintains","created_at":"2021-09-30T09:25:19.445Z","updated_at":"2021-09-30T09:25:19.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":10009,"fairsharing_record_id":2135,"organisation_id":841,"relation":"funds","created_at":"2022-10-13T09:43:38.672Z","updated_at":"2022-10-13T09:43:38.672Z","grant_id":null,"is_lead":false,"saved_state":{"id":841,"name":"ELIXIR Europe","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2136","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:16:26.885Z","metadata":{"doi":"10.25504/FAIRsharing.qmygaa","name":"GeneProf","status":"deprecated","contacts":[{"contact_name":"Florian Halbritter","contact_email":"florian.halbritter@ed.ac.uk","contact_orcid":"0000-0003-2452-4784"}],"homepage":"http://www.geneprof.org","identifier":2136,"description":"GeneProf Data is an open web resource for analysed functional genomics experiments. We have built up a large collection of completely processed RNA-seq and ChIP-seq studies by carefully and transparently reanalysing and annotating high-profile public data sets. GeneProf makes these data instantly accessible in an easily interpretable, searchable and reusable manner and thus opens up the path to the advantages and insights gained from genome-scale experiments to a broader scientific audience. Moreover, GeneProf supports programmatic access to these data via web services to further facilitate the reuse of experimental data across tools and laboratories.","abbreviation":"GeneProf","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.geneprof.org/bugsandfeatures.jsp","type":"Contact form"},{"url":"http://www.geneprof.org/GeneProf/help_frequentlyaskedquestions(faq).jsp#chapter:FrequentlyAskedQuestions(FAQ)","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.geneprof.org/GeneProf/help_and_tutorials.jsp","type":"Help documentation"},{"url":"http://www.geneprof.org/help_and_tutorials.jsp","type":"Help documentation"},{"url":"http://www.geneprof.org/GeneProf/help_tutorials.jsp#chapter:Tutorials","type":"Training documentation"}],"year_creation":2009,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000606","bsg-d000606"],"name":"FAIRsharing record for: GeneProf","abbreviation":"GeneProf","url":"https://fairsharing.org/10.25504/FAIRsharing.qmygaa","doi":"10.25504/FAIRsharing.qmygaa","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: GeneProf Data is an open web resource for analysed functional genomics experiments. We have built up a large collection of completely processed RNA-seq and ChIP-seq studies by carefully and transparently reanalysing and annotating high-profile public data sets. GeneProf makes these data instantly accessible in an easily interpretable, searchable and reusable manner and thus opens up the path to the advantages and insights gained from genome-scale experiments to a broader scientific audience. Moreover, GeneProf supports programmatic access to these data via web services to further facilitate the reuse of experimental data across tools and laboratories.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12700}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Epigenetics","Life Science","Biomedical Science"],"domains":["Expression data","Computational biological predictions","Ribonucleic acid","Gene model annotation","Chromatin immunoprecipitation - DNA sequencing","Chromatin immunoprecipitation - DNA microarray","RNA sequencing","Binding site"],"taxonomies":["All","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":602,"pubmed_id":22205509,"title":"GeneProf: analysis of high-throughput sequencing experiments","year":2011,"url":"http://doi.org/10.1038/nmeth.1809","authors":"Halbritter F, Vaidya HJ and Tomlinson SR","journal":"Nature Methods","doi":"10.1038/nmeth.1809","created_at":"2021-09-30T08:23:26.002Z","updated_at":"2021-09-30T08:23:26.002Z"},{"id":605,"pubmed_id":null,"title":"GeneProf data: a resource of curated, integrated and reusable high-throughput genomics experiments","year":2013,"url":"http://doi.org/10.1093/nar/gkt966","authors":"Halbritter F, Kousa AI and Tomlinson SR","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt966","created_at":"2021-09-30T08:23:26.302Z","updated_at":"2021-09-30T08:23:26.302Z"}],"licence_links":[{"licence_name":"GeneProf Terms and Conditions and Academic License","licence_id":331,"licence_url":"http://www.geneprof.org/GeneProf/terms_and_conditions.jsp","link_id":819,"relation":"undefined"}],"grants":[{"id":1760,"fairsharing_record_id":2136,"organisation_id":3052,"relation":"maintains","created_at":"2021-09-30T09:25:19.542Z","updated_at":"2021-09-30T09:25:19.542Z","grant_id":null,"is_lead":false,"saved_state":{"id":3052,"name":"University of Edinburgh, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1761,"fairsharing_record_id":2136,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:19.574Z","updated_at":"2021-09-30T09:30:26.638Z","grant_id":713,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"G0901533","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2138","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:02.914Z","metadata":{"doi":"10.25504/FAIRsharing.jwhdyr","name":"ModBase database of comparative protein structure models","status":"ready","contacts":[{"contact_name":"ModBase Contact","contact_email":"modbase@salilab.org"}],"homepage":"https://salilab.org/modbase","citations":[{"doi":"10.1007/978-981-33-6191-1_2","pubmed_id":null,"publication_id":3894}],"identifier":2138,"description":"ModBase (https://salilab.org/modbase) is a database of annotated comparative protein structure models. The models are calculated by ModPipe, an automated modeling pipeline that relies primarily on Modeller for fold assignment, sequence-structure alignment, model building, and model assessment (https://salilab.org/modeller/). ModBase currently contains almost 30 million reliable models for domains in 4.7 million unique protein sequences. ModBase allows users to compute or update comparative models on demand, through an interface to the ModWeb modeling server (https://salilab.org/modweb).","abbreviation":"ModBase","data_curation":{"type":"not found"},"support_links":[{"url":"http://salilab.org/modbase","type":"Help documentation"}],"year_creation":1998,"data_versioning":"no","associated_tools":[{"url":"http://salilab.org/modpipe","name":"ModPipe 2.2"}],"data_access_condition":{"url":"https://modbase.compbio.ucsf.edu/modbase-cgi/manage_datasets.cgi","type":"partially open","notes":"Dataset Summaries are not available for the Anonymous user."},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://modbase.compbio.ucsf.edu/modweb/","type":"controlled","notes":"Only registered users."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000608","bsg-d000608"],"name":"FAIRsharing record for: ModBase database of comparative protein structure models","abbreviation":"ModBase","url":"https://fairsharing.org/10.25504/FAIRsharing.jwhdyr","doi":"10.25504/FAIRsharing.jwhdyr","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ModBase (https://salilab.org/modbase) is a database of annotated comparative protein structure models. The models are calculated by ModPipe, an automated modeling pipeline that relies primarily on Modeller for fold assignment, sequence-structure alignment, model building, and model assessment (https://salilab.org/modeller/). ModBase currently contains almost 30 million reliable models for domains in 4.7 million unique protein sequences. ModBase allows users to compute or update comparative models on demand, through an interface to the ModWeb modeling server (https://salilab.org/modweb).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12701}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":591,"pubmed_id":21097780,"title":"ModBase, a database of annotated comparative protein structure models, and associated resources.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1091","authors":"Pieper U, Webb BM, Barkan DT, Schneidman-Duhovny D, Schlessinger A, Braberg H, Yang Z, Meng EC, Pettersen EF, Huang CC, Datta RS, Sampathkumar P, Madhusudhan MS, Sjölander K, Ferrin TE, Burley SK, Sali A","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1091","created_at":"2021-09-30T08:23:24.800Z","updated_at":"2021-09-30T11:28:47.734Z"},{"id":3894,"pubmed_id":null,"title":"Bioinformatics Tools and Software","year":2021,"url":"http://dx.doi.org/10.1007/978-981-33-6191-1_2","authors":"Gupta, Aeshna; Gangotia, Disha; Mani, Indra; ","journal":"Advances in Bioinformatics","doi":"10.1007/978-981-33-6191-1_2","created_at":"2023-06-07T07:33:53.724Z","updated_at":"2023-06-07T07:33:53.724Z"}],"licence_links":[],"grants":[{"id":1765,"fairsharing_record_id":2138,"organisation_id":1671,"relation":"maintains","created_at":"2021-09-30T09:25:19.701Z","updated_at":"2021-09-30T09:25:19.701Z","grant_id":null,"is_lead":false,"saved_state":{"id":1671,"name":"Laboratory of Andrej Sali, University of California at San Francisco (UCSF), San Francisco, CA, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2139","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T10:51:56.517Z","metadata":{"doi":"10.25504/FAIRsharing.34pfmc","name":"CentrosomeDB","status":"deprecated","contacts":[{"contact_name":"Alberto Pascual Montano","contact_email":"pascual@cnb.csic.es"}],"homepage":"http://centrosome.cnb.csic.es","identifier":2139,"description":"CentrosomeDB is a collection of human and drosophila centrosomal genes that were reported in the literature and other sources. The database offers the possibility to study the evolution, function, and structure of the centrosome. They have compiled information from many sources, including Gene Ontology, disease-association, single nucleotide polymorphisms, and associated gene expression experiments.","abbreviation":"CentrosomeDB","data_curation":{"type":"not found"},"support_links":[{"url":"fbio@cnb.csic.es","type":"Support email"},{"url":"http://centrosome.cnb.csic.es/human/centrosome/help","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://centrosome.cnb.csic.es/human/centrosome/query_blast","name":"BLAST"}],"deprecation_date":"2021-9-18","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000609","bsg-d000609"],"name":"FAIRsharing record for: CentrosomeDB","abbreviation":"CentrosomeDB","url":"https://fairsharing.org/10.25504/FAIRsharing.34pfmc","doi":"10.25504/FAIRsharing.34pfmc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CentrosomeDB is a collection of human and drosophila centrosomal genes that were reported in the literature and other sources. The database offers the possibility to study the evolution, function, and structure of the centrosome. They have compiled information from many sources, including Gene Ontology, disease-association, single nucleotide polymorphisms, and associated gene expression experiments.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Protein identification","Centrosome","Sequence"],"taxonomies":["Drosophila melanogaster","Homo sapiens"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":592,"pubmed_id":24270791,"title":"CentrosomeDB: a new generation of the centrosomal proteins database for Human and Drosophila melanogaster","year":2013,"url":"http://doi.org/10.1093/nar/gkt1126","authors":"Joao Alves-Cruzeiro, Ruben Nogalales-Cadenas, Alberto Pascual-Montano","journal":"NAR-Nucleic Acids Research","doi":"10.1093/nar/gkt1126","created_at":"2021-09-30T08:23:24.960Z","updated_at":"2021-09-30T08:23:24.960Z"}],"licence_links":[],"grants":[{"id":1768,"fairsharing_record_id":2139,"organisation_id":1973,"relation":"maintains","created_at":"2021-09-30T09:25:19.818Z","updated_at":"2021-09-30T09:25:19.818Z","grant_id":null,"is_lead":false,"saved_state":{"id":1973,"name":"National Centre for Biotechnolgy (CNB), Madrid, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1767,"fairsharing_record_id":2139,"organisation_id":595,"relation":"funds","created_at":"2021-09-30T09:25:19.777Z","updated_at":"2021-09-30T09:29:14.594Z","grant_id":155,"is_lead":false,"saved_state":{"id":595,"name":"Comunidad de Madrid (CAM), Madrid, Spain","grant":"CAM - P2006/Gen-0166","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8024,"fairsharing_record_id":2139,"organisation_id":595,"relation":"funds","created_at":"2021-09-30T09:30:28.003Z","updated_at":"2021-09-30T09:30:28.055Z","grant_id":724,"is_lead":false,"saved_state":{"id":595,"name":"Comunidad de Madrid (CAM), Madrid, Spain","grant":"P2010/BMD-2305","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9213,"fairsharing_record_id":2139,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.750Z","updated_at":"2022-04-11T12:07:22.769Z","grant_id":1286,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","grant":"BIO2010-17527","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2131","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:35.525Z","metadata":{"doi":"10.25504/FAIRsharing.8fy3bn","name":"The mitochondrial DNA breakpoints database","status":"ready","contacts":[{"contact_name":"Filipe Pereira","contact_email":"mitobreak@gmail.com","contact_orcid":"0000-0001-8950-1036"},{"contact_name":"Joana Damas","contact_email":"joanadamas@gmail.com","contact_orcid":"0000-0003-4857-2510"}],"homepage":"http://mitobreak.portugene.com","citations":[],"identifier":2131,"description":"A comprehensive on-line resource with curated datasets of mitochondrial DNA (mtDNA) rearrangements.","abbreviation":"MitoBreak","data_curation":{"url":"http://mitobreak.portugene.com/cgi-bin/Mitobreak_home.cgi","type":"manual"},"support_links":[{"url":"http://mitobreak.portugene.com/MitoBreak_contact.html","type":"Contact form"},{"url":"http://mitobreak.portugene.com/MitoBreak_help.html","type":"Help documentation"},{"url":"http://mitobreak.portugene.com/MitoBreak_documentation.html","type":"Help documentation"}],"year_creation":2013,"data_versioning":"no","associated_tools":[{"url":"http://mitobreak.portugene.com/cgi-bin/Mitobreak_classifier_input.cgi","name":"Classifier"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://mitobreak.portugene.com/cgi-bin/Mitobreak_submission.cgi","type":"controlled","notes":"Submittinh large collection of rearrangements to submit or adding breakpoints from a species and/or rearrangement type in MitoBreak via contacting them."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000601","bsg-d000601"],"name":"FAIRsharing record for: The mitochondrial DNA breakpoints database","abbreviation":"MitoBreak","url":"https://fairsharing.org/10.25504/FAIRsharing.8fy3bn","doi":"10.25504/FAIRsharing.8fy3bn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A comprehensive on-line resource with curated datasets of mitochondrial DNA (mtDNA) rearrangements.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Life Science"],"domains":["Chromosome fragile site","Mitochondrial genome","Chromosome breakpoint","Nucleotide duplication","Deletions","Mitochondrial disease"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Macaca mulatta","Mus musculus","Podospora anserina","Rattus norvegicus"],"user_defined_tags":["Genomic rearrangement"],"countries":["Portugal"],"publications":[{"id":566,"pubmed_id":24170808,"title":"MitoBreak: The mitochondrial DNA breakpoints database","year":2013,"url":"http://doi.org/10.1093/nar/gkt982","authors":"Joana Damas, João Carneiro, António Amorim and Filipe Pereira","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt982","created_at":"2021-09-30T08:23:21.893Z","updated_at":"2021-09-30T08:23:21.893Z"}],"licence_links":[],"grants":[{"id":9517,"fairsharing_record_id":2131,"organisation_id":3511,"relation":"maintains","created_at":"2022-05-12T10:45:17.226Z","updated_at":"2022-05-12T10:45:17.226Z","grant_id":null,"is_lead":true,"saved_state":{"id":3511,"name":"IDENTIFICA genetic testing","types":["Company"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZEE9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--bef1bc6f04e45dbc52982ede048e35b58882e681/MitoBreaklogojpg3.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2132","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T12:36:32.508Z","metadata":{"doi":"10.25504/FAIRsharing.9vyk3d","name":"JCB DataViewer","status":"deprecated","contacts":[{"contact_name":"Liz Williams","contact_email":"lwilliams@rockefeller.edu","contact_orcid":"0000-0002-4665-1875"}],"homepage":"http://jcb-dataviewer.rupress.org","identifier":2132,"description":"The JCB DataViewer is an image hosting and visualization platform for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the \"scores\" from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard.","abbreviation":"JCB DataViewer","data_curation":{"type":"not found"},"support_links":[{"url":"http://jcb-dataviewer.rupress.org/jcb/page/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"http://jcb-dataviewer.rupress.org","type":"Help documentation"},{"url":"https://twitter.com/JCellBiol","type":"Twitter"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"http://downloads.openmicroscopy.org/bio-formats/4.4.9/","name":"Bio-Formats 4.4.9"}],"deprecation_date":"2019-06-05","deprecation_reason":"This resource is now deprecated. The data that was stored in this resource has (mostly) been moved to BioStudies, to a specific JCB collection (https://www.ebi.ac.uk/biostudies/JCB/studies).","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000602","bsg-d000602"],"name":"FAIRsharing record for: JCB DataViewer","abbreviation":"JCB DataViewer","url":"https://fairsharing.org/10.25504/FAIRsharing.9vyk3d","doi":"10.25504/FAIRsharing.9vyk3d","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The JCB DataViewer is an image hosting and visualization platform for original microscopy image datasets associated with articles published in The Journal of Cell Biology, a peer-reviewed journal published by The Rockefeller University Press. The JCB DataViewer can host multidimensional fluorescence microscopy images, 3D tomogram data, very large (gigapixel) images, and high content imaging screens. Images are presented in an interactive viewer, and the \"scores\" from high content screens are presented in interactive graphs with data points linked to the relevant images. The JCB DataViewer uses the Bio-Formats library to read over 120 different imaging file formats and convert them to the OME-TIFF image data standard.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11221},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11360}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":[],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":569,"pubmed_id":20513764,"title":"Metadata matters: access to image data in the real world","year":2010,"url":"http://doi.org/10.1083/jcb.201004104","authors":"Melissa Linkert, Curtis T. Rueden, Chris Allan et al.","journal":"The Journal of Cell Biology","doi":"10.1083/jcb.201004104","created_at":"2021-09-30T08:23:22.218Z","updated_at":"2021-09-30T08:23:22.218Z"},{"id":571,"pubmed_id":22869591,"title":"The JCB DataViewer scales up.","year":2012,"url":"http://doi.org/10.1083/jcb.201207117","authors":"Williams EH, Carpentier P, Misteli T.","journal":"Journal of Cell Biology","doi":"10.1083/jcb.201207117","created_at":"2021-09-30T08:23:22.468Z","updated_at":"2021-09-30T08:23:22.468Z"},{"id":572,"pubmed_id":20921131,"title":"Friends, colleagues, authors, lend us your data.","year":2010,"url":"http://doi.org/10.1083/jcb.201009056","authors":"DeCathelineau A, Williams EH, Misteli T, Rossner M.","journal":"Journal of Cell Bioloy","doi":"10.1083/jcb.201009056","created_at":"2021-09-30T08:23:22.572Z","updated_at":"2021-09-30T08:23:22.572Z"},{"id":573,"pubmed_id":21893594,"title":"New tools for JCB","year":2011,"url":"http://doi.org/10.1083/jcb.201108096","authors":"Williams EH, Misteli T.","journal":"Journal of Cell Biology","doi":"10.1083/jcb.201108096","created_at":"2021-09-30T08:23:22.677Z","updated_at":"2021-09-30T08:23:22.677Z"},{"id":1637,"pubmed_id":null,"title":"Announcing the JCB DataViewer, a browser-based application for viewing original image files","year":2008,"url":"http://doi.org/10.1083/jcb.200811132","authors":"Hill E","journal":"Journal of Cell Biology","doi":"10.1083/jcb.200811132","created_at":"2021-09-30T08:25:23.389Z","updated_at":"2021-09-30T08:25:23.389Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":858,"relation":"undefined"},{"licence_name":"JCB DataViewer Terms of Use","licence_id":468,"licence_url":"http://jcb-dataviewer.rupress.org/jcb/page/termsofuse/","link_id":814,"relation":"undefined"}],"grants":[{"id":1745,"fairsharing_record_id":2132,"organisation_id":1610,"relation":"maintains","created_at":"2021-09-30T09:25:19.101Z","updated_at":"2021-09-30T09:25:19.101Z","grant_id":null,"is_lead":false,"saved_state":{"id":1610,"name":"Journal of Cell Biology (JCB), New York, NY, USA","types":["Publisher"],"is_lead":false,"relation":"maintains"}},{"id":1748,"fairsharing_record_id":2132,"organisation_id":1162,"relation":"maintains","created_at":"2021-09-30T09:25:19.213Z","updated_at":"2021-09-30T09:25:19.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":1162,"name":"Glencoe Software, Seattle, WA, USA","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1746,"fairsharing_record_id":2132,"organisation_id":2457,"relation":"maintains","created_at":"2021-09-30T09:25:19.139Z","updated_at":"2021-09-30T09:25:19.139Z","grant_id":null,"is_lead":false,"saved_state":{"id":2457,"name":"Rockefeller University Press","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1747,"fairsharing_record_id":2132,"organisation_id":2261,"relation":"maintains","created_at":"2021-09-30T09:25:19.176Z","updated_at":"2021-09-30T09:25:19.176Z","grant_id":null,"is_lead":false,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2134","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:58.852Z","metadata":{"doi":"10.25504/FAIRsharing.65tdnz","name":"Progenetix","status":"ready","contacts":[{"contact_name":"Michael Baudis","contact_email":"mbaudis@me.com","contact_orcid":"0000-0002-9903-4248"}],"homepage":"https://progenetix.org/","citations":[{"doi":"10.1093/bioinformatics/17.12.1228","pubmed_id":11751233,"publication_id":2667}],"identifier":2134,"description":"The Progenetix database provides an overview of copy number abnormalities in human cancer from Comparative Genomic Hybridization (CGH) experiments. Progenetix is the largest curated database for whole genome copy number profiles in cancer. The current dataset contains more than 130'000 profiles from genomic CNV screening experiments. This data covers 700 diagnostic entities according to the NCIt Neoplasm Core and the International Classification of Disease in Oncology (ICD-O 3). Additionally, the website attempts to lists all publications referring to cancer genome profiling experiments.","abbreviation":"Progenetix","data_curation":{"type":"manual"},"support_links":[{"url":"https://info.progenetix.org/categories/news.html","name":"News","type":"Blog/News"},{"url":"https://info.progenetix.org/categories/howto.html","type":"Help documentation"},{"url":"https://info.progenetix.org/categories/about.html","type":"Help documentation"},{"url":"https://twitter.com/progenetix","type":"Twitter"}],"year_creation":2001,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012820","name":"re3data:r3d100012820","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000604","bsg-d000604"],"name":"FAIRsharing record for: Progenetix","abbreviation":"Progenetix","url":"https://fairsharing.org/10.25504/FAIRsharing.65tdnz","doi":"10.25504/FAIRsharing.65tdnz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Progenetix database provides an overview of copy number abnormalities in human cancer from Comparative Genomic Hybridization (CGH) experiments. Progenetix is the largest curated database for whole genome copy number profiles in cancer. The current dataset contains more than 130'000 profiles from genomic CNV screening experiments. This data covers 700 diagnostic entities according to the NCIt Neoplasm Core and the International Classification of Disease in Oncology (ICD-O 3). Additionally, the website attempts to lists all publications referring to cancer genome profiling experiments.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12698}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Biomedical Science"],"domains":["Expression data","Cancer","Curated information","DNA microarray","Literature curation","Chromosomal aberration","Comparative genomic hybridization","Biocuration"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Switzerland"],"publications":[{"id":595,"pubmed_id":22629346,"title":"arrayMap: a reference resource for genomic copy number imbalances in human malignancies.","year":2012,"url":"http://doi.org/10.1371/journal.pone.0036944","authors":"Cai H, Kumar N, Baudis M.","journal":"PLoS One. 2012;7(5):e36944.","doi":"10.1371/journal.pone.0036944","created_at":"2021-09-30T08:23:25.276Z","updated_at":"2021-09-30T08:23:25.276Z"},{"id":603,"pubmed_id":18088415,"title":"Genomic imbalances in 5918 malignant epithelial tumors: an explorative meta-analysis of chromosomal CGH data","year":2007,"url":"http://doi.org/10.1186/1471-2407-7-226","authors":"Baudis M","journal":"BMC Cancer. 2007 Dec 18;7:226.","doi":"10.1186/1471-2407-7-226","created_at":"2021-09-30T08:23:26.102Z","updated_at":"2021-09-30T08:23:26.102Z"},{"id":610,"pubmed_id":16568815,"title":"Online database and bioinformatics toolbox to support data mining in cancer cytogenetics.","year":2006,"url":"http://doi.org/10.2144/000112102","authors":"Baudis M","journal":"Biotechniques. 2006 Mar;40(3):269-70, 272.","doi":"10.2144/000112102","created_at":"2021-09-30T08:23:27.028Z","updated_at":"2021-09-30T08:23:27.028Z"},{"id":941,"pubmed_id":24225322,"title":"Progenetix: 12 years of oncogenomic data curation.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1108","authors":"Cai H,Kumar N,Ai N,Gupta S,Rath P,Baudis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1108","created_at":"2021-09-30T08:24:04.135Z","updated_at":"2021-09-30T11:28:55.792Z"},{"id":1259,"pubmed_id":25428357,"title":"arrayMap 2014: an updated cancer genome resource.","year":2014,"url":"http://doi.org/10.1093/nar/gku1123","authors":"Cai H,Gupta S,Rath P,Ai N,Baudis M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1123","created_at":"2021-09-30T08:24:40.464Z","updated_at":"2021-09-30T11:29:04.243Z"},{"id":1260,"pubmed_id":24476156,"title":"Chromothripsis-like patterns are recurring but heterogeneously distributed features in a survey of 22,347 cancer genome screens.","year":2014,"url":"http://doi.org/10.1186/1471-2164-15-82","authors":"Cai H,Kumar N,Bagheri HC,von Mering C,Robinson MD,Baudis M","journal":"BMC Genomics","doi":"10.1186/1471-2164-15-82","created_at":"2021-09-30T08:24:40.592Z","updated_at":"2021-09-30T08:24:40.592Z"},{"id":2667,"pubmed_id":11751233,"title":"Progenetix.net: an online repository for molecular cytogenetic aberration data.","year":2001,"url":"http://doi.org/10.1093/bioinformatics/17.12.1228","authors":"Baudis M, Cleary ML.","journal":"Bioinformatics. 2001 Dec;17(12):1228-9.","doi":"10.1093/bioinformatics/17.12.1228","created_at":"2021-09-30T08:27:27.439Z","updated_at":"2021-09-30T08:27:27.439Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2532,"relation":"applies_to_content"}],"grants":[{"id":1755,"fairsharing_record_id":2134,"organisation_id":2682,"relation":"undefined","created_at":"2021-09-30T09:25:19.395Z","updated_at":"2021-12-09T13:05:34.350Z","grant_id":null,"is_lead":false,"saved_state":{"id":2682,"name":"Swiss Institute of Bioinformatics (SIB), Switzerland","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2143","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:29:00.927Z","metadata":{"doi":"10.25504/FAIRsharing.f0bxfg","name":"miRTarBase","status":"deprecated","contacts":[{"contact_name":"Sheng-Da Hsu","contact_email":"ken.sd.hsu@gmail.com","contact_orcid":"0000-0002-8214-1696"}],"homepage":"http://miRTarBase.mbc.nctu.edu.tw","identifier":2143,"description":"As a database, miRTarBase has accumulated more than fifty thousand miRNA-target interactions (MTIs), which are collected by manually surveying pertinent literature after data mining of the text systematically to filter research articles related to functional studies of miRNAs. Generally, the collected MTIs are validated experimentally by reporter assay, western blot, microarray and next-generation sequencing experiments. While containing the largest amount of validated MTIs, the miRTarBase provides the most updated collection by comparing with other similar, previously developed databases.","abbreviation":"miRTarBase","data_curation":{"type":"not found"},"support_links":[{"url":"ken.sd.hsu@gmail.com","type":"Support email"},{"url":"http://mirtarbase.mbc.nctu.edu.tw/php/help.php","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000615","bsg-d000615"],"name":"FAIRsharing record for: miRTarBase","abbreviation":"miRTarBase","url":"https://fairsharing.org/10.25504/FAIRsharing.f0bxfg","doi":"10.25504/FAIRsharing.f0bxfg","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: As a database, miRTarBase has accumulated more than fifty thousand miRNA-target interactions (MTIs), which are collected by manually surveying pertinent literature after data mining of the text systematically to filter research articles related to functional studies of miRNAs. Generally, the collected MTIs are validated experimentally by reporter assay, western blot, microarray and next-generation sequencing experiments. While containing the largest amount of validated MTIs, the miRTarBase provides the most updated collection by comparing with other similar, previously developed databases.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Gene silencing by miRNA (microRNA)","Micro RNA"],"taxonomies":["Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Taiwan"],"publications":[{"id":1072,"pubmed_id":21071411,"title":"miRTarBase: a database curates experimentally validated microRNA-target interactions.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1107","authors":"Hsu SD, Lin FM, Wu WY, Liang C, Huang WC, Chan WL, Tsai WT, Chen GZ, Lee CJ, Chiu CM, Chien CH, Wu MC, Huang CY, Tsou AP, Huang HD.","journal":"Nucleic Acid Res. Database Issue","doi":"10.1093/nar/gkq1107","created_at":"2021-09-30T08:24:18.705Z","updated_at":"2021-09-30T11:28:40.992Z"}],"licence_links":[{"licence_name":"MIRTAR is free for academic and non-profit use","licence_id":516,"licence_url":"http://mirtarbase.mbc.nctu.edu.tw/cache/download/LICENSE","link_id":825,"relation":"undefined"}],"grants":[{"id":9320,"fairsharing_record_id":2143,"organisation_id":1873,"relation":"funds","created_at":"2022-04-11T12:07:30.131Z","updated_at":"2022-04-11T12:07:30.150Z","grant_id":324,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 101-2911-I-009-101","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9321,"fairsharing_record_id":2143,"organisation_id":1873,"relation":"funds","created_at":"2022-04-11T12:07:30.227Z","updated_at":"2022-04-11T12:07:30.242Z","grant_id":88,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 102-2627-B-009-001","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9322,"fairsharing_record_id":2143,"organisation_id":1873,"relation":"funds","created_at":"2022-04-11T12:07:30.302Z","updated_at":"2022-04-11T12:07:30.316Z","grant_id":935,"is_lead":false,"saved_state":{"id":1873,"name":"Ministry of Science and Technology (MOST), Taipei, Taiwan","grant":"NSC 101-2311-B-009-003-MY3","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2144","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:41.470Z","metadata":{"doi":"10.25504/FAIRsharing.g2cf4x","name":"CollecTF","status":"ready","contacts":[{"contact_name":"Ivan Erill","contact_email":"erill@umbc.edu","contact_orcid":"0000-0002-7280-7191"}],"homepage":"http://collectf.umbc.edu","identifier":2144,"description":"CollecTF is a database of transcription factor binding sites (TFBS) in the Bacteria domain. It aims at becoming a reference, highly-accessed database by relying on its ability to customize navigation and data extraction, its relevance to the community, the quality and detail of the stored data and the up-to-date nature of the stored information.","abbreviation":"CollecTF","data_curation":{"url":"http://collectf.umbc.edu/browse/about/","type":"manual","notes":"The curation model combines direct author submissions and in-house curation."},"support_links":[{"url":"http://collectf.umbc.edu/browse/feedback/","type":"Contact form"},{"url":"collectfdb@umbc.edu","type":"Support email"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://collectf.umbc.edu/browse/compare_motifs/","name":"Motif Comparison"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://collectf.umbc.edu/browse/contribute/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000616","bsg-d000616"],"name":"FAIRsharing record for: CollecTF","abbreviation":"CollecTF","url":"https://fairsharing.org/10.25504/FAIRsharing.g2cf4x","doi":"10.25504/FAIRsharing.g2cf4x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CollecTF is a database of transcription factor binding sites (TFBS) in the Bacteria domain. It aims at becoming a reference, highly-accessed database by relying on its ability to customize navigation and data extraction, its relevance to the community, the quality and detail of the stored data and the up-to-date nature of the stored information.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12702}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Developmental Biology","Life Science","Transcriptomics"],"domains":["Regulation of gene expression","Binding motif","Transcription factor","Experimentally determined","Binding site"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":621,"pubmed_id":24234444,"title":"CollecTF: a database of experimentally validated transcription factor-binding sites in Bacteria","year":2013,"url":"http://doi.org/10.1093/nar/gkt1123","authors":"Kilic, Sefa; White, Elliot; Sagitova, Dinara; Cornish, Joseph; Erill, Ivan","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1123","created_at":"2021-09-30T08:23:28.327Z","updated_at":"2021-09-30T08:23:28.327Z"}],"licence_links":[],"grants":[{"id":1789,"fairsharing_record_id":2144,"organisation_id":3088,"relation":"maintains","created_at":"2021-09-30T09:25:20.565Z","updated_at":"2021-09-30T09:25:20.565Z","grant_id":null,"is_lead":false,"saved_state":{"id":3088,"name":"University of Maryland, Baltimore, MD, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1788,"fairsharing_record_id":2144,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:20.538Z","updated_at":"2021-09-30T09:32:02.943Z","grant_id":1445,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"MCB-1158056","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2140","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2022-07-20T11:10:12.386Z","metadata":{"doi":"10.25504/FAIRsharing.tgjsm4","name":"bNAber","status":"deprecated","contacts":[{"contact_name":"bNAber Support","contact_email":"support@bnaber.org"}],"homepage":"http://bnaber.org/","citations":[{"publication_id":609}],"identifier":2140,"description":"Discovery of Broadly Neutralizing Antibodies (bNAbs) has given a great boost to HIV vaccine research. Study of bNAbs capable of neutralizing a broad array of different HIV strains is important for a number of reasons: (i) structures of antigens co-crystallized with bNAbs are used as templates in HIV vaccine design; (ii) bNAbs can be effective as therapeutics; (iii) preventive use of bNAbs is a promising direction in AIDS care. The goal of bNAber is to collect, analyze, compare and present bNAbs data, thus helping researchers to create HIV vaccine.","abbreviation":"bNAber","data_curation":{"type":"not found"},"support_links":[{"url":"http://bnaber.org/?q=Help","name":"Help Pages","type":"Help documentation"},{"url":"http://bnaber.org/?q=node/12","name":"Information for Biologists","type":"Help documentation"},{"url":"http://bnaber.org/?q=node/153","name":"Statistics","type":"Help documentation"},{"url":"http://bnaber.org/?q=Use%20Cases","name":"Use Cases","type":"Training documentation"},{"url":"http://bnaber.org/?q=Walkthrough%20Videos","name":"Instructional Videos","type":"Training documentation"}],"year_creation":2013,"data_versioning":"not found","associated_tools":[{"url":"http://bnaber.org/?q=node/115","name":"Analysis Tools"},{"url":"http://bnaber.org/?q=Structure%20Alignment%20Matrix","name":"Structure Alignment"},{"url":"http://bnaber.org/?q=NeutSandbox","name":"Neutralization Workbench"}],"deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000610","bsg-d000610"],"name":"FAIRsharing record for: bNAber","abbreviation":"bNAber","url":"https://fairsharing.org/10.25504/FAIRsharing.tgjsm4","doi":"10.25504/FAIRsharing.tgjsm4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Discovery of Broadly Neutralizing Antibodies (bNAbs) has given a great boost to HIV vaccine research. Study of bNAbs capable of neutralizing a broad array of different HIV strains is important for a number of reasons: (i) structures of antigens co-crystallized with bNAbs are used as templates in HIV vaccine design; (ii) bNAbs can be effective as therapeutics; (iii) preventive use of bNAbs is a promising direction in AIDS care. The goal of bNAber is to collect, analyze, compare and present bNAbs data, thus helping researchers to create HIV vaccine.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Immunogenetics","Immunology","Biomedical Science"],"domains":["Antibody","Structure","Sequence"],"taxonomies":["Homo sapiens","Human immunodeficiency virus"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":609,"pubmed_id":null,"title":"bNAber: database of broadly neutralizing HIV antibodies","year":2014,"url":"https://doi.org/10.1093/nar/gkt1083","authors":"Alexey Eroshkin, Andrew LeBlanc, Dana Weekes, Kai Post, Zhanwen Li, Akhil Rajput, Sal T. Butera, Dennis R. Burton and Adam Godzik","journal":"Nucleic Acid Res. Database Issue","doi":null,"created_at":"2021-09-30T08:23:26.918Z","updated_at":"2021-09-30T11:28:41.069Z"}],"licence_links":[],"grants":[{"id":9038,"fairsharing_record_id":2140,"organisation_id":2487,"relation":"maintains","created_at":"2022-03-28T12:54:57.386Z","updated_at":"2022-03-28T12:54:57.386Z","grant_id":null,"is_lead":false,"saved_state":{"id":2487,"name":"Sanford Burnham Prebys Medical Discovery Institute (SBP), La Jolla, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1772,"fairsharing_record_id":2140,"organisation_id":2831,"relation":"maintains","created_at":"2021-09-30T09:25:19.973Z","updated_at":"2021-09-30T09:25:19.973Z","grant_id":null,"is_lead":false,"saved_state":{"id":2831,"name":"The Scripps Research Institute","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":1773,"fairsharing_record_id":2140,"organisation_id":2401,"relation":"maintains","created_at":"2021-09-30T09:25:20.009Z","updated_at":"2021-09-30T09:25:20.009Z","grant_id":null,"is_lead":false,"saved_state":{"id":2401,"name":"Ragon Institute","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":1769,"fairsharing_record_id":2140,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:19.859Z","updated_at":"2021-09-30T09:30:30.958Z","grant_id":743,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"R01GM101457","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8270,"fairsharing_record_id":2140,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:31:51.040Z","updated_at":"2021-09-30T09:31:51.096Z","grant_id":1355,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine (NLM), Bethesda, MD, USA","grant":"UM1AI100663","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2141","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:29:40.076Z","metadata":{"doi":"10.25504/FAIRsharing.7qexb2","name":"Plant DNA C-values database","status":"ready","contacts":[{"contact_name":"Ilia Leitch","contact_email":"i.leitch@kew.org","contact_orcid":"0000-0002-3837-8186"}],"homepage":"https://cvalues.science.kew.org/","citations":[],"identifier":2141,"description":"A database containing genome size (C-value) data for all groups of land plants and red, green and brown algae.","abbreviation":"Plant C-Values","data_curation":{"type":"manual"},"support_links":[{"url":"dnac-value@kew.org","type":"Support email"},{"url":"https://cvalues.science.kew.org/introduction","name":"About","type":"Help documentation"}],"year_creation":2001,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000612","bsg-d000612"],"name":"FAIRsharing record for: Plant DNA C-values database","abbreviation":"Plant C-Values","url":"https://fairsharing.org/10.25504/FAIRsharing.7qexb2","doi":"10.25504/FAIRsharing.7qexb2","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A database containing genome size (C-value) data for all groups of land plants and red, green and brown algae.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Deoxyribonucleic acid","Genome"],"taxonomies":["Viridiplantae"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":607,"pubmed_id":17090588,"title":"Eukaryotic genome size databases","year":2006,"url":"http://doi.org/10.1093/nar/gkl828","authors":"Gregory TR, Nicol JA, Tamm H, Kullman B, Kullman K, Leitch IJ, Murray BG, Kapraun DF, Greilhuber J, Bennett MD.","journal":"Nucleic Acids Research 35 (Database issue): D332-D338.","doi":"10.1093/nar/gkl828","created_at":"2021-09-30T08:23:26.578Z","updated_at":"2021-09-30T08:23:26.578Z"},{"id":608,"pubmed_id":24288377,"title":"Recent updates and developments to plant genome size databases.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1195","authors":"Garcia S,Leitch IJ,Anadon-Rosell A,Canela MA,Galvez F,Garnatje T,Gras A,Hidalgo O,Johnston E,Mas de Xaxars G,Pellicer J,Siljak-Yakovlev S,Valles J,Vitales D,Bennett MD","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1195","created_at":"2021-09-30T08:23:26.733Z","updated_at":"2021-09-30T11:28:48.117Z"}],"licence_links":[{"licence_name":"Kew Gardens Terms and Conditions","licence_id":479,"licence_url":"https://www.kew.org/terms-and-conditions","link_id":2816,"relation":"applies_to_content"},{"licence_name":"Privacy policy Kew Gardens","licence_id":973,"licence_url":"https://www.kew.org/about-us/reports-and-policies/privacy?_gl=1%2A6r2l0n%2A_ga%2ANzcyNTAyMTMyLjE2NjE3ODY1Nzc.%2A_ga_ZVV2HHW7P6%2AMTY2MTc4NjU3Ny4xLjEuMTY2MTc4NjgwNS4wLjAuMA..","link_id":2817,"relation":"applies_to_content"}],"grants":[{"id":1778,"fairsharing_record_id":2141,"organisation_id":168,"relation":"funds","created_at":"2021-09-30T09:25:20.197Z","updated_at":"2021-09-30T09:29:19.154Z","grant_id":193,"is_lead":false,"saved_state":{"id":168,"name":"Barcelona University, Barcelona, Spain","grant":"ADR-2011-38","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1780,"fairsharing_record_id":2141,"organisation_id":1615,"relation":"funds","created_at":"2021-09-30T09:25:20.253Z","updated_at":"2021-09-30T09:30:16.720Z","grant_id":633,"is_lead":false,"saved_state":{"id":1615,"name":"Juan de la Cierva, Madrid, Spain","grant":"JCI-2011-10124","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1781,"fairsharing_record_id":2141,"organisation_id":2832,"relation":"funds","created_at":"2021-09-30T09:25:20.279Z","updated_at":"2021-09-30T09:32:12.163Z","grant_id":1514,"is_lead":false,"saved_state":{"id":2832,"name":"The Spanish government","grant":"CGL2010-22234-C02-01","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1782,"fairsharing_record_id":2141,"organisation_id":2823,"relation":"funds","created_at":"2021-09-30T09:25:20.310Z","updated_at":"2021-09-30T09:30:14.391Z","grant_id":615,"is_lead":false,"saved_state":{"id":2823,"name":"The Research Council of Norway","grant":"196468/V40","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1775,"fairsharing_record_id":2141,"organisation_id":1193,"relation":"funds","created_at":"2021-09-30T09:25:20.089Z","updated_at":"2021-09-30T09:32:17.196Z","grant_id":1548,"is_lead":false,"saved_state":{"id":1193,"name":"Government of Catalonia, Spain","grant":"2009SGR00439","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8881,"fairsharing_record_id":2141,"organisation_id":2971,"relation":"funds","created_at":"2022-02-13T19:02:11.741Z","updated_at":"2022-02-13T19:02:11.741Z","grant_id":333,"is_lead":false,"saved_state":{"id":2971,"name":"Universitat Autònoma de Barcelona","grant":"BP-2011-A-00292","types":["University"],"is_lead":false,"relation":"funds"}},{"id":1777,"fairsharing_record_id":2141,"organisation_id":1853,"relation":"funds","created_at":"2021-09-30T09:25:20.165Z","updated_at":"2021-09-30T09:30:57.357Z","grant_id":951,"is_lead":false,"saved_state":{"id":1853,"name":"Ministerio de Educacion, Cultura y Deporte, Madrid, Spain","grant":"AP2008-03441","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":1776,"fairsharing_record_id":2141,"organisation_id":2461,"relation":"maintains","created_at":"2021-09-30T09:25:20.126Z","updated_at":"2021-09-30T09:25:20.126Z","grant_id":null,"is_lead":false,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew, London, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":8061,"fairsharing_record_id":2141,"organisation_id":1615,"relation":"funds","created_at":"2021-09-30T09:30:42.263Z","updated_at":"2021-09-30T09:30:42.320Z","grant_id":830,"is_lead":false,"saved_state":{"id":1615,"name":"Juan de la Cierva, Madrid, Spain","grant":"JCI-2010-9432","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2146","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-06-22T17:52:51.116Z","metadata":{"doi":"10.25504/FAIRsharing.fssydn","name":"DisGeNET","status":"ready","contacts":[{"contact_name":"Laura I. Furlong","contact_email":"laura.furlong@upf.edu","contact_orcid":"0000-0002-9383-528X"}],"homepage":"http://www.disgenet.org","citations":[{"doi":null,"pubmed_id":null,"publication_id":2593}],"identifier":2146,"description":"DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v7.0) contains 1,134,942 gene-disease associations (GDAs), between 21,671 genes and 30,170 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 369,554 variant-disease associations (VDAs), between 194,515 variants and 14,155 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.","abbreviation":"DisGeNET","data_curation":{"url":"https://www.disgenet.org/app","type":"automated","notes":"Cytoscape text-mining annotation"},"support_links":[{"url":"support@disgenet.org","name":"Support","type":"Support email"},{"url":"http://www.disgenet.org/help","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.disgenet.org/dbinfo","type":"Help documentation"},{"url":"https://twitter.com/DisGeNET","type":"Twitter"}],"year_creation":2009,"data_versioning":"yes","associated_tools":[{"url":"http://www.disgenet.org","name":"browse"},{"url":"http://rdf.disgenet.org/fct/","name":"Faceted Browser"},{"url":"https://apps.cytoscape.org/apps/disgenetapp","name":"DisGeNET Cytoscape App 7.0"},{"url":"https://bitbucket.org/ibi_group/disgenet2r","name":"disgenet2r 0.99.0"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013301","name":"re3data:r3d100013301","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006178","name":"SciCrunch:RRID:SCR_006178","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000618","bsg-d000618"],"name":"FAIRsharing record for: DisGeNET","abbreviation":"DisGeNET","url":"https://fairsharing.org/10.25504/FAIRsharing.fssydn","doi":"10.25504/FAIRsharing.fssydn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v7.0) contains 1,134,942 gene-disease associations (GDAs), between 21,671 genes and 30,170 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 369,554 variant-disease associations (VDAs), between 194,515 variants and 14,155 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.","linked_records":[],"linking_records":[{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11362},{"linking_record_name":"ELIXIR Recommended Interoperability Resources","linking_record_id":3531,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11887},{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12320},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12703}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Human Genetics","Life Science","Biomedical Science"],"domains":["Mutation","Genetic polymorphism","Disease","Gene"],"taxonomies":["Homo sapiens"],"user_defined_tags":["COVID-19","Interoperability"],"countries":["Spain"],"publications":[{"id":791,"pubmed_id":25877637,"title":"DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes","year":2015,"url":"http://doi.org/10.1093/database/bav028","authors":"Piñero J, Queralt-Rosinach N, Bravo A, Deu-Pons J, Bauer-Mehren A, Baron M, Sanz F, Furlong LI","journal":"Database","doi":"10.1093/database/bav028","created_at":"2021-09-30T08:23:47.179Z","updated_at":"2021-09-30T08:23:47.179Z"},{"id":1424,"pubmed_id":20861032,"title":"DisGeNET: a Cytoscape plugin to visualize, integrate, search and analyze gene–disease networks","year":2010,"url":"http://doi.org/10.1093/bioinformatics/btq538","authors":"Bauer-Mehren A, Rautschka M, Sanz F, Furlong LI.","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btq538","created_at":"2021-09-30T08:24:59.173Z","updated_at":"2021-09-30T11:28:40.674Z"},{"id":1649,"pubmed_id":21695124,"title":"Gene-disease network analysis reveals functional modules in mendelian, complex and environmental diseases","year":2011,"url":"http://doi.org/10.1371/journal.pone.0020284","authors":"Bauer-Mehren A, Bundschus M, Rautschka M, Mayer MA, Sanz F, Furlong LI.","journal":"PLoS One","doi":"10.1371/journal.pone.0020284","created_at":"2021-09-30T08:25:24.754Z","updated_at":"2021-09-30T08:25:24.754Z"},{"id":2488,"pubmed_id":27924018,"title":"DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants","year":2016,"url":"http://doi.org/10.1093/nar/gkw943","authors":"Piñero J, Bravo À, Queralt-Rosinach N, Gutiérrez-Sacristán A, Deu-Pons J, Centeno E, García-García J, Sanz F, Furlong LI.","journal":"Nucleic Acid Research","doi":"10.1093/nar/gkw943","created_at":"2021-09-30T08:27:05.045Z","updated_at":"2021-09-30T08:27:05.045Z"},{"id":2593,"pubmed_id":null,"title":"The DisGeNET cytoscape app: Exploring and visualizing disease genomics data","year":2021,"url":"https://doi.org/10.1016/j.csbj.2021.05.015","authors":"Janet Piñero, Josep Saüch, Ferran Sanz, Laura I.Furlong","journal":"Computational and Structural Biotechnology Journal","doi":null,"created_at":"2021-09-30T08:27:18.179Z","updated_at":"2021-09-30T08:27:18.179Z"},{"id":3002,"pubmed_id":31680165,"title":"The DisGeNET knowledge platform for disease genomics: 2019 update.","year":2019,"url":"http://doi.org/10.1093/nar/gkz1021","authors":"Pinero J,Ramirez-Anguita JM,Sauch-Pitarch J,Ronzano F,Centeno E,Sanz F,Furlong LI","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz1021","created_at":"2021-09-30T08:28:10.114Z","updated_at":"2021-09-30T11:29:49.489Z"}],"licence_links":[{"licence_name":"Disgenet Open Database License","licence_id":245,"licence_url":"http://www.disgenet.org/legal","link_id":1701,"relation":"undefined"},{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":1702,"relation":"undefined"}],"grants":[{"id":8293,"fairsharing_record_id":2146,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:31:56.382Z","updated_at":"2021-09-30T09:31:56.432Z","grant_id":1396,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115191","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1793,"fairsharing_record_id":2146,"organisation_id":2433,"relation":"funds","created_at":"2021-09-30T09:25:20.718Z","updated_at":"2021-09-30T09:25:20.718Z","grant_id":null,"is_lead":false,"saved_state":{"id":2433,"name":"Research Programme on Biomedical Informatics (IMIM, UPF)","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":1794,"fairsharing_record_id":2146,"organisation_id":1461,"relation":"maintains","created_at":"2021-09-30T09:25:20.760Z","updated_at":"2021-09-30T09:25:20.760Z","grant_id":null,"is_lead":false,"saved_state":{"id":1461,"name":"Integrative Biomedical Informatics Group (IBI), Research Programme on Biomedical Informatics (GRIB) IMIM-UPF, Barcelona, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1792,"fairsharing_record_id":2146,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:25:20.681Z","updated_at":"2021-09-30T09:29:39.376Z","grant_id":345,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative (IMI), Europe","grant":"115002","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":1795,"fairsharing_record_id":2146,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:25:20.802Z","updated_at":"2021-09-30T09:31:49.310Z","grant_id":1342,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"CP10/00524","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8394,"fairsharing_record_id":2146,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:32:26.477Z","updated_at":"2021-09-30T09:32:26.537Z","grant_id":1621,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PI13/00082","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2147","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2024-06-14T09:32:45.714Z","metadata":{"doi":"10.25504/FAIRsharing.qv0f6x","name":"Manually Curated Database of Rice Proteins","status":"deprecated","contacts":[{"contact_name":"Saurabh Raghuvanshi","contact_email":"saurabh@genomeindia.org"}],"homepage":"http://www.genomeindia.org/biocuration","citations":[],"identifier":2147,"description":"The Manually Curated Database of Rice Proteins (MCDRP) is a manually-curated database based on published experimental data. The database contains data for rice proteins curated from experiments drawn from research articles. The database stores information including gene name, plant type, tissue and developmental stage. The homepage for this resource could not be loaded. Please contact us if you have any information regarding the current status of this resource.","abbreviation":"MCDRP","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.genomeindia.org/biocuration/usr/feedback.php","type":"Contact form"}],"year_creation":2013,"data_versioning":"not found","deprecation_date":"2024-06-14","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000619","bsg-d000619"],"name":"FAIRsharing record for: Manually Curated Database of Rice Proteins","abbreviation":"MCDRP","url":"https://fairsharing.org/10.25504/FAIRsharing.qv0f6x","doi":"10.25504/FAIRsharing.qv0f6x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Manually Curated Database of Rice Proteins (MCDRP) is a manually-curated database based on published experimental data. The database contains data for rice proteins curated from experiments drawn from research articles. The database stores information including gene name, plant type, tissue and developmental stage. The homepage for this resource could not be loaded. Please contact us if you have any information regarding the current status of this resource.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Botany"],"domains":["Annotation","Protein interaction","Curated information","Digital curation","Protein","Literature curation","Biocuration"],"taxonomies":["Oryza sativa"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":617,"pubmed_id":24214963,"title":"Manually Curated Database of Rice Proteins","year":2013,"url":"http://doi.org/10.1093/nar/gkt1072","authors":"Gour P, Garg P, Jain R, Joseph SV, Tyagi AK, Raghuvanshi S.","journal":"Nucleic Acids Researh","doi":"10.1093/nar/gkt1072","created_at":"2021-09-30T08:23:27.903Z","updated_at":"2021-09-30T08:23:27.903Z"}],"licence_links":[],"grants":[{"id":1796,"fairsharing_record_id":2147,"organisation_id":3048,"relation":"maintains","created_at":"2021-09-30T09:25:20.839Z","updated_at":"2021-09-30T09:25:20.839Z","grant_id":null,"is_lead":false,"saved_state":{"id":3048,"name":"University of Delhi, India","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1797,"fairsharing_record_id":2147,"organisation_id":686,"relation":"funds","created_at":"2021-09-30T09:25:20.872Z","updated_at":"2021-09-30T09:25:20.872Z","grant_id":null,"is_lead":false,"saved_state":{"id":686,"name":"Department of Biotechnology, Ministry of Science and Technology, India","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2151","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:31:04.167Z","metadata":{"doi":"10.25504/FAIRsharing.rm14bx","name":"NeuroVault","status":"ready","contacts":[{"contact_name":"Chris Gorgolewski","contact_email":"krzysztof.gorgolewski@gmail.com","contact_orcid":"0000-0003-3321-7583"}],"homepage":"https://neurovault.org/","citations":[],"identifier":2151,"description":"The purpose of this database is to collect and distribute statistical maps of the human brain. Such maps are acquired by scientist all around the world using brain imaging techniques such as MRI or PET in a combined effort to map the functions and structures of the brain.","abbreviation":"NeuroVault","data_curation":{"type":"not found"},"support_links":[{"url":"http://neurovault.org/FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"https://neurostars.org/tag/neurovault","type":"Forum"}],"year_creation":2012,"data_versioning":"no","associated_tools":[{"url":"https://github.com/NeuroVault/pyneurovault","name":"pyneurovault"},{"url":"http://www.neurosynth.org","name":"Neurosynth"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012842","name":"re3data:r3d100012842","portal":"re3data"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://neurovault.org/FAQ","name":"All of NeuroVault is backed up daily into off site storage. In addition all of the public collections that have been associated with a paper (through the DOI field) will be archived in Stanford Digital Repository (SDR). This operation is performed in bulk twice a year and ensures long term preservation of maps deposited in NeuroVault."},"data_deposition_condition":{"url":"https://neurovault.org/accounts/login/?next=/collections/new","type":"open","notes":"Registration required"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000623","bsg-d000623"],"name":"FAIRsharing record for: NeuroVault","abbreviation":"NeuroVault","url":"https://fairsharing.org/10.25504/FAIRsharing.rm14bx","doi":"10.25504/FAIRsharing.rm14bx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The purpose of this database is to collect and distribute statistical maps of the human brain. Such maps are acquired by scientist all around the world using brain imaging techniques such as MRI or PET in a combined effort to map the functions and structures of the brain.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10979}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Functional magnetic resonance imaging","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["France","Germany","United Kingdom","United States"],"publications":[{"id":778,"pubmed_id":25914639,"title":"NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain.","year":2015,"url":"http://doi.org/10.3389/fninf.2015.00008","authors":"Gorgolewski KJ,Varoquaux G,Rivera G,Schwarz Y,Ghosh SS,Maumet C,Sochat VV,Nichols TE,Poldrack RA,Poline JB,Yarkoni T,Margulies DS","journal":"Front Neuroinform","doi":"10.3389/fninf.2015.00008","created_at":"2021-09-30T08:23:45.728Z","updated_at":"2021-09-30T08:23:45.728Z"},{"id":1020,"pubmed_id":25869863,"title":"NeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain.","year":2015,"url":"http://doi.org/S1053-8119(15)00306-7","authors":"Gorgolewski KJ, Varoquaux G, Rivera G, Schwartz Y, Sochat VV, Ghosh SS, Maumet C, Nichols TE, Poline JB, Yarkoni T, Margulies DS, Poldrack RA","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2015.04.016","created_at":"2021-09-30T08:24:12.965Z","updated_at":"2021-09-30T08:24:12.965Z"}],"licence_links":[{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2433,"relation":"undefined"}],"grants":[{"id":1804,"fairsharing_record_id":2151,"organisation_id":2623,"relation":"maintains","created_at":"2021-09-30T09:25:21.106Z","updated_at":"2021-09-30T09:25:21.106Z","grant_id":null,"is_lead":false,"saved_state":{"id":2623,"name":"Stanford University, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1809,"fairsharing_record_id":2151,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:21.244Z","updated_at":"2021-09-30T09:29:47.014Z","grant_id":400,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation (NSF), USA","grant":"OCI-1131441","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1808,"fairsharing_record_id":2151,"organisation_id":2854,"relation":"funds","created_at":"2021-09-30T09:25:21.213Z","updated_at":"2021-09-30T09:31:08.052Z","grant_id":1032,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust, UK","grant":"100309","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1805,"fairsharing_record_id":2151,"organisation_id":1321,"relation":"maintains","created_at":"2021-09-30T09:25:21.129Z","updated_at":"2021-09-30T09:25:21.129Z","grant_id":null,"is_lead":false,"saved_state":{"id":1321,"name":"INCF, Stockholm, Sweden","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":1806,"fairsharing_record_id":2151,"organisation_id":1785,"relation":"maintains","created_at":"2021-09-30T09:25:21.160Z","updated_at":"2021-09-30T09:25:21.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":1785,"name":"Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1810,"fairsharing_record_id":2151,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:21.285Z","updated_at":"2021-09-30T09:30:50.941Z","grant_id":900,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"R01MH096906","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8459,"fairsharing_record_id":2151,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:32:44.193Z","updated_at":"2021-09-30T09:32:44.246Z","grant_id":1755,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"T15 LM007033","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":12029,"fairsharing_record_id":2151,"organisation_id":2622,"relation":"maintains","created_at":"2024-07-08T14:51:32.071Z","updated_at":"2024-07-08T14:51:32.071Z","grant_id":null,"is_lead":false,"saved_state":{"id":2622,"name":"Stanford Libraries, Stanford University, Stanford, California, USA","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2152","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:33:13.356Z","metadata":{"doi":"10.25504/FAIRsharing.y6w78m","name":"Coherent X-ray Imaging Data Bank","status":"ready","contacts":[{"contact_name":"Filipe Maia","contact_email":"filipe@xray.bmc.uu.se","contact_orcid":"0000-0002-2141-438X"}],"homepage":"http://cxidb.org/","citations":[],"identifier":2152,"description":"The Coherent X-ray Imaging Data Bank (CXIDB) offers scientists from all over the world a unique opportunity to access data from Coherent X-ray Imaging (CXI) experiments. It arose from the need to share the terabytes of data generated from X-ray free-electron laser experiments although it caters to all light sources. Accessibility is crucial not only to make efficient use of experimental facilities, but also to improve the reproducibility of results and enable new research based on previous experiments.","abbreviation":"CXIDB","data_curation":{"url":"https://raw.githubusercontent.com/cxidb/CXI/master/cxi_file_format.pdf","type":"manual/automated"},"support_links":[{"url":"cxidb@cxidb.org","type":"Support email"},{"url":"https://groups.google.com/forum/#!forum/cxidb","type":"Forum"},{"url":"cxidb@googlegroups.com","type":"Mailing list"}],"year_creation":2010,"data_versioning":"yes","associated_tools":[{"url":"https://cxidb.org/resources.html#unit_conversion","name":"Light to Energy Unit Conversion"},{"url":"https://github.com/antonbarty/cheetah","name":"Cheetah"},{"url":"https://www.desy.de/~twhite/crystfel/development.html","name":"CrystFEL 0.9.1"},{"url":"https://github.com/FXIhub/spsim","name":"Spsim"},{"url":"https://github.com/FXIhub/hawk","name":"Hawk"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011554","name":"re3data:r3d100011554","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014722","name":"SciCrunch:RRID:SCR_014722","portal":"SciCrunch"}],"data_access_condition":{"url":"https://www.cxidb.org/browse.html","type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.cxidb.org/deposit.html","type":"controlled"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000624","bsg-d000624"],"name":"FAIRsharing record for: Coherent X-ray Imaging Data Bank","abbreviation":"CXIDB","url":"https://fairsharing.org/10.25504/FAIRsharing.y6w78m","doi":"10.25504/FAIRsharing.y6w78m","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Coherent X-ray Imaging Data Bank (CXIDB) offers scientists from all over the world a unique opportunity to access data from Coherent X-ray Imaging (CXI) experiments. It arose from the need to share the terabytes of data generated from X-ray free-electron laser experiments although it caters to all light sources. Accessibility is crucial not only to make efficient use of experimental facilities, but also to improve the reproducibility of results and enable new research based on previous experiments.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10980}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Organic Chemistry","Life Science"],"domains":["Molecular structure","X-ray diffraction","Imaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Sweden","United States"],"publications":[{"id":647,"pubmed_id":22936162,"title":"The Coherent X-ray Imaging Data Bank","year":2012,"url":"http://doi.org/10.1038/nmeth.2110","authors":"Maia, F. R. N. C.","journal":"Nat. Methods","doi":"doi:10.1038/nmeth.2110","created_at":"2021-09-30T08:23:31.213Z","updated_at":"2021-09-30T08:23:31.213Z"}],"licence_links":[],"grants":[{"id":1816,"fairsharing_record_id":2152,"organisation_id":3159,"relation":"maintains","created_at":"2021-09-30T09:25:21.516Z","updated_at":"2021-09-30T09:25:21.516Z","grant_id":null,"is_lead":false,"saved_state":{"id":3159,"name":"Uppsala University, Sweden","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":1811,"fairsharing_record_id":2152,"organisation_id":1985,"relation":"maintains","created_at":"2021-09-30T09:25:21.327Z","updated_at":"2021-09-30T09:25:21.327Z","grant_id":null,"is_lead":false,"saved_state":{"id":1985,"name":"National Energy Research Scientific Computing Center (NERSC), Berkeley, CA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1813,"fairsharing_record_id":2152,"organisation_id":2675,"relation":"funds","created_at":"2021-09-30T09:25:21.399Z","updated_at":"2021-09-30T09:25:21.399Z","grant_id":null,"is_lead":false,"saved_state":{"id":2675,"name":"Swedish Research Council, Sweden","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":1814,"fairsharing_record_id":2152,"organisation_id":2672,"relation":"funds","created_at":"2021-09-30T09:25:21.435Z","updated_at":"2021-09-30T09:25:21.435Z","grant_id":null,"is_lead":false,"saved_state":{"id":2672,"name":"Swedish Foundation for Strategic Research, Stockholm, Sweden","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":1815,"fairsharing_record_id":2152,"organisation_id":2524,"relation":"funds","created_at":"2021-09-30T09:25:21.477Z","updated_at":"2021-09-30T09:25:21.477Z","grant_id":null,"is_lead":false,"saved_state":{"id":2524,"name":"Scientific Discovery Through Advanced Computing, U.S. Department of Energy, Washington, DC, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9397,"fairsharing_record_id":2152,"organisation_id":3167,"relation":"funds","created_at":"2022-04-11T12:07:35.650Z","updated_at":"2022-04-11T12:07:35.650Z","grant_id":null,"is_lead":false,"saved_state":{"id":3167,"name":"U.S. Department of Energy","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2149","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:26.535Z","metadata":{"doi":"10.25504/FAIRsharing.qw7qtk","name":"The MOuse NOnCode Lung database","status":"ready","contacts":[{"contact_email":"support@monocldb.org"}],"homepage":"https://www.monocldb.org","citations":[],"identifier":2149,"description":"MONOCLdb is an integrative and interactive database designed to retrieve and visualize annotations and expression profiles of long-non coding RNAs (lncRNAs) expressed in Collaborative Cross (http://compgen.unc.edu/) founder mice in response to respiratory influenza and SARS infections.","abbreviation":"MONOCLdb","data_curation":{"url":"https://www.monocldb.org/index.php?page=about","type":"automated","notes":"Using annotation computational methods"},"support_links":[{"url":"http://www.monocldb.org/About","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"https://www.monocldb.org/index.php?page=expression-heatmap","name":"Expression Heatmap"},{"url":"https://www.monocldb.org/index.php?page=module-based-enrichment","name":"Module-based Enrichment"},{"url":"https://www.monocldb.org/index.php?page=rank-based-enrichment","name":"Rank-based Enrichment"},{"url":"https://www.monocldb.org/index.php?page=co-expression-network","name":"Co-expression Network"},{"url":"https://www.monocldb.org/index.php?page=genomic-annotations","name":"Genomic Annotations"},{"url":"https://www.monocldb.org/index.php?page=pathogenicity-association","name":"Pathogenicity Association"},{"url":"https://www.monocldb.org/index.php?page=distributed-annotation-system","name":"Distributed Annotation System"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000621","bsg-d000621"],"name":"FAIRsharing record for: The MOuse NOnCode Lung database","abbreviation":"MONOCLdb","url":"https://fairsharing.org/10.25504/FAIRsharing.qw7qtk","doi":"10.25504/FAIRsharing.qw7qtk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MONOCLdb is an integrative and interactive database designed to retrieve and visualize annotations and expression profiles of long-non coding RNAs (lncRNAs) expressed in Collaborative Cross (http://compgen.unc.edu/) founder mice in response to respiratory influenza and SARS infections.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12704}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Functional Genomics"],"domains":["RNA sequence","Gene Ontology enrichment","Molecular interaction","Genetic interaction","Genome","Long non-coding RNA"],"taxonomies":["Mus musculus"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBajRCIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a810799a16fc9d8705a6bb7851a208306bc41f48/mono.png?disposition=inline","exhaustive_licences":false}},{"id":"2153","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:13.245Z","metadata":{"doi":"10.25504/FAIRsharing.ajpk6x","name":"International Neuroimaging Data-Sharing Initiative","status":"ready","contacts":[{"contact_name":"Michael Milham","contact_email":"michael.milham@childmind.org","contact_orcid":"0000-0003-3532-1210"}],"homepage":"http://fcon_1000.projects.nitrc.org/","citations":[],"identifier":2153,"description":"Database for open data sharing of resting-state fMRI and DTI images collected from over 50 sites around the world. These data collections now contain comprehensive phentoypic information, openly available via data usage agreements.","abbreviation":"INDI","data_curation":{"type":"manual"},"support_links":[{"url":"http://www.nitrc.org/forum/?group_id=296","type":"Forum"},{"url":"https://www.nitrc.org/plugins/mwiki/index.php/fcon_1000:MainPage","type":"Help documentation"}],"year_creation":2009,"data_versioning":"not found","associated_tools":[{"url":"http://fcp-indi.github.io/","name":"C-PAC 0.33"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011555","name":"re3data:r3d100011555","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_015771","name":"SciCrunch:RRID:SCR_015771","portal":"SciCrunch"}],"data_access_condition":{"url":"https://fcon_1000.projects.nitrc.org/","type":"open","notes":"Registration required to access data"},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.nitrc.org/plugins/mwiki/index.php?title=fcon_1000:Contrib","type":"open"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000625","bsg-d000625"],"name":"FAIRsharing record for: International Neuroimaging Data-Sharing Initiative","abbreviation":"INDI","url":"https://fairsharing.org/10.25504/FAIRsharing.ajpk6x","doi":"10.25504/FAIRsharing.ajpk6x","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Database for open data sharing of resting-state fMRI and DTI images collected from over 50 sites around the world. These data collections now contain comprehensive phentoypic information, openly available via data usage agreements.","linked_records":[],"linking_records":[{"linking_record_name":"Data Citation Implementation","linking_record_id":3500,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10981},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11104}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science","Biomedical Science"],"domains":["Functional magnetic resonance imaging","Diffusion tensor imaging","Phenotype","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Canada","China","Germany","Netherlands","United States"],"publications":[{"id":625,"pubmed_id":23123682,"title":"Making data sharing work: the FCP/INDI experience.","year":2012,"url":"http://doi.org/10.1016/j.neuroimage.2012.10.064","authors":"Mennes M, Biswal BB, Castellanos FX, Milham MP","journal":"Neuroimage","doi":"10.1016/j.neuroimage.2012.10.064","created_at":"2021-09-30T08:23:28.726Z","updated_at":"2021-09-30T08:23:28.726Z"},{"id":1843,"pubmed_id":22284177,"title":"Open neuroscience solutions for the connectome-wide association era.","year":2012,"url":"http://doi.org/10.1016/j.neuron.2011.11.004","authors":"Milham MP","journal":"Neuron","doi":"10.1016/j.neuron.2011.11.004.","created_at":"2021-09-30T08:25:46.981Z","updated_at":"2021-09-30T08:25:46.981Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":2436,"relation":"undefined"}],"grants":[{"id":1818,"fairsharing_record_id":2153,"organisation_id":1943,"relation":"maintains","created_at":"2021-09-30T09:25:21.592Z","updated_at":"2021-09-30T09:25:21.592Z","grant_id":null,"is_lead":false,"saved_state":{"id":1943,"name":"Nathan S. Kline Institute for Psychiatric Research (NKI), Orangeburg, NY, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1817,"fairsharing_record_id":2153,"organisation_id":2037,"relation":"maintains","created_at":"2021-09-30T09:25:21.552Z","updated_at":"2021-09-30T09:25:21.552Z","grant_id":null,"is_lead":false,"saved_state":{"id":2037,"name":"National Institutes of Health (NIH) Blueprint for Neuroscience Research, Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":1819,"fairsharing_record_id":2153,"organisation_id":504,"relation":"funds","created_at":"2021-09-30T09:25:21.622Z","updated_at":"2021-09-30T09:25:21.622Z","grant_id":null,"is_lead":false,"saved_state":{"id":504,"name":"Child Mind Institute, New York, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2154","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:28:30.182Z","metadata":{"doi":"10.25504/FAIRsharing.kj4pvk","name":"SciCrunch Data Dashboard","status":"ready","contacts":[{"contact_email":"info@scicrunch.org"}],"homepage":"https://scicrunch.org/browse/datadashboard","citations":[],"identifier":2154,"description":"The SciCrunch Data Dashboard is a data sharing and display platform that pulls information from primary data repositories. Anyone can create a custom portal where they can select searchable subsets of hundreds of data sources, brand their web pages and create their community. SciCrunch will push data updates automatically to all portals on a weekly basis. SciCrunch resource registry is the new name of the NIF registry. ","abbreviation":"SciCrunch","data_curation":{"type":"not found"},"support_links":[{"url":"https://scicrunch.org/page/tutorials","type":"Help documentation"}],"year_creation":2006,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://scicrunch.org/browse/datadashboard","type":"controlled","notes":"Sharing new databases via email"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000626","bsg-d000626"],"name":"FAIRsharing record for: SciCrunch Data Dashboard","abbreviation":"SciCrunch","url":"https://fairsharing.org/10.25504/FAIRsharing.kj4pvk","doi":"10.25504/FAIRsharing.kj4pvk","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The SciCrunch Data Dashboard is a data sharing and display platform that pulls information from primary data repositories. Anyone can create a custom portal where they can select searchable subsets of hundreds of data sources, brand their web pages and create their community. SciCrunch will push data updates automatically to all portals on a weekly basis. SciCrunch resource registry is the new name of the NIF registry. ","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Neurobiology","Life Science"],"domains":["Biological sample"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1283,"pubmed_id":26599696,"title":"The Resource Identification Initiative: A Cultural Shift in Publishing.","year":2015,"url":"http://doi.org/10.1002/cne.23913","authors":"Bandrowski A,Brush M,Grethe JS,Haendel MA,Kennedy DN,Hill S,Hof PR,Martone ME,Pols M,Tan SC,Washington N,Zudilova-Seinstra E,Vasilevsky N","journal":"J Comp Neurol","doi":"10.1002/cne.23913","created_at":"2021-09-30T08:24:43.216Z","updated_at":"2021-09-30T08:24:43.216Z"}],"licence_links":[{"licence_name":"SciCrunch Terms of Service","licence_id":735,"licence_url":"https://scicrunch.org/page/terms","link_id":3019,"relation":"applies_to_content"}],"grants":[{"id":1820,"fairsharing_record_id":2154,"organisation_id":2045,"relation":"funds","created_at":"2021-09-30T09:25:21.649Z","updated_at":"2021-09-30T09:25:21.649Z","grant_id":null,"is_lead":false,"saved_state":{"id":2045,"name":"National Library of Medicine","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10211,"fairsharing_record_id":2154,"organisation_id":989,"relation":"maintains","created_at":"2022-12-06T09:23:18.349Z","updated_at":"2022-12-06T09:23:18.349Z","grant_id":null,"is_lead":true,"saved_state":{"id":989,"name":"FAIR Data Informatics Laboratory","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2150","type":"fairsharing_records","attributes":{"created_at":"2014-11-04T15:23:40.000Z","updated_at":"2023-12-15T10:30:03.112Z","metadata":{"doi":"10.25504/FAIRsharing.17z0yf","name":"iSpyBio","status":"ready","contacts":[{"contact_name":"Tillmann Ziegert","contact_email":"tillmann.ziegert@biorbyt.com"}],"homepage":"http://www.ispybio.com/","identifier":2150,"description":"iSpyBio is an intelligent and unbiased search engine for Life scientists. It ranks reagents by the number of data such as publications, reviews, characterization images and tested applications. It displays over 500,000 reagents such as antibodies, proteins, ELISA kits and biomolecules. iSpyBio’s proprietary search algorithm is unique and rapidly analyzes the end-users search query against its large database. Powerful filters allow the user to enhance the search results, for example if they want a protein expressed in yeast or an antibody that only works in mouse. As iSpyBio syncs with supplier and other public databases, it is always up-to-date. This allows iSpyBio to exclude out of stock items but show the most recent testing results and peer-reviewed publications.","abbreviation":"iSpyBio","data_curation":{"type":"manual/automated"},"support_links":[{"url":"info@ispybio.com","type":"Support email"},{"url":"https://twitter.com/iSpyBio","type":"Twitter"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000622","bsg-d000622"],"name":"FAIRsharing record for: iSpyBio","abbreviation":"iSpyBio","url":"https://fairsharing.org/10.25504/FAIRsharing.17z0yf","doi":"10.25504/FAIRsharing.17z0yf","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iSpyBio is an intelligent and unbiased search engine for Life scientists. It ranks reagents by the number of data such as publications, reviews, characterization images and tested applications. It displays over 500,000 reagents such as antibodies, proteins, ELISA kits and biomolecules. iSpyBio’s proprietary search algorithm is unique and rapidly analyzes the end-users search query against its large database. Powerful filters allow the user to enhance the search results, for example if they want a protein expressed in yeast or an antibody that only works in mouse. As iSpyBio syncs with supplier and other public databases, it is always up-to-date. This allows iSpyBio to exclude out of stock items but show the most recent testing results and peer-reviewed publications.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Reagent","Antibody","Assay","Protein"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"iSpyBio Privacy Policy","licence_id":459,"licence_url":"http://www.ispybio.com/search/privacy","link_id":829,"relation":"undefined"}],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2237","type":"fairsharing_records","attributes":{"created_at":"2015-11-20T07:45:08.000Z","updated_at":"2023-12-15T10:32:31.653Z","metadata":{"doi":"10.25504/FAIRsharing.q33qzy","name":"HGTree","status":"ready","contacts":[{"contact_name":"Arshan Nasir","contact_email":"arshan_nasir@comsats.edu.pk","contact_orcid":"0000-0001-7200-0788"}],"homepage":"http://hgtree.snu.ac.kr","identifier":2237,"description":"The HGTree database provides putative genome-wide horizontal gene transfer (HGT) information for 2,472 completely sequenced prokaryotic genomes. HGT detection is based on an explicit evolutionary model of tree reconstruction and relies on evaluating the conflicts between phylogenetic tree of each orthologous gene set and corresponding 16S rRNA species tree. The database provides quick and easy access to HGT-related genes in hundreds of prokaryotic genomes and provides functionalities to detect HGT in user-customized datasets and gene and genome sequences. The database is freely available and can be easily scaled and updated to keep pace with the rapid rise in genomic information.","abbreviation":"HGTree","data_curation":{"url":"http://hgtree.snu.ac.kr/background.php?access=b","type":"automated"},"support_links":[{"url":"http://hgtree.snu.ac.kr/tutorial.php?access=t","type":"Training documentation"},{"url":"https://twitter.com/NasirArshan","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000711","bsg-d000711"],"name":"FAIRsharing record for: HGTree","abbreviation":"HGTree","url":"https://fairsharing.org/10.25504/FAIRsharing.q33qzy","doi":"10.25504/FAIRsharing.q33qzy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The HGTree database provides putative genome-wide horizontal gene transfer (HGT) information for 2,472 completely sequenced prokaryotic genomes. HGT detection is based on an explicit evolutionary model of tree reconstruction and relies on evaluating the conflicts between phylogenetic tree of each orthologous gene set and corresponding 16S rRNA species tree. The database provides quick and easy access to HGT-related genes in hundreds of prokaryotic genomes and provides functionalities to detect HGT in user-customized datasets and gene and genome sequences. The database is freely available and can be easily scaled and updated to keep pace with the rapid rise in genomic information.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Bioinformatics","Phylogenetics","Life Science","Microbiology"],"domains":[],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["Pakistan","South Korea"],"publications":[{"id":872,"pubmed_id":null,"title":"HGTree: database of horizontally transferred genes determined by tree reconciliation","year":2015,"url":"http://doi.org/10.1093/nar/gkv1245","authors":"Hyeonsoo Jeong, Samsun Sung, Taehyung Kwon, Minseok Seo, Kelsey Caetano-Anollés, Sang Ho Choi5, Seoae Cho, Arshan Nasir, and Heebal Kim","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1245","created_at":"2021-09-30T08:23:56.321Z","updated_at":"2021-09-30T08:23:56.321Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":917,"relation":"undefined"}],"grants":[{"id":2080,"fairsharing_record_id":2237,"organisation_id":1245,"relation":"funds","created_at":"2021-09-30T09:25:31.213Z","updated_at":"2021-09-30T09:25:31.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":1245,"name":"Higher Education Commission, Pakistan","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2079,"fairsharing_record_id":2237,"organisation_id":1867,"relation":"funds","created_at":"2021-09-30T09:25:31.179Z","updated_at":"2021-09-30T09:31:25.450Z","grant_id":1163,"is_lead":false,"saved_state":{"id":1867,"name":"Ministry of Food and Drug Safety, South Korea","grant":"14162MFDS 972","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2077,"fairsharing_record_id":2237,"organisation_id":2547,"relation":"maintains","created_at":"2021-09-30T09:25:31.121Z","updated_at":"2021-09-30T09:25:31.121Z","grant_id":null,"is_lead":false,"saved_state":{"id":2547,"name":"Seoul National University, South Korea","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2078,"fairsharing_record_id":2237,"organisation_id":593,"relation":"maintains","created_at":"2021-09-30T09:25:31.150Z","updated_at":"2021-09-30T09:25:31.150Z","grant_id":null,"is_lead":false,"saved_state":{"id":593,"name":"Comsats Institute of Information Technology (CIIT), Islamabad, Pakistan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2238","type":"fairsharing_records","attributes":{"created_at":"2015-11-24T15:42:14.000Z","updated_at":"2024-05-09T08:40:50.698Z","metadata":{"doi":"10.25504/FAIRsharing.8bva0r","name":"BioXpress","status":"deprecated","contacts":[{"contact_name":"Quan Wan","contact_email":"wanquan@gwmail.gwu.edu"}],"homepage":"https://hive.biochemistry.gwu.edu/tools/bioxpress/","citations":[],"identifier":2238,"description":"BioXpress is a curated gene expression and disease association database where the expression levels are mapped to genes.","abbreviation":"BioXpress","data_curation":{"type":"not found"},"support_links":[{"url":"https://hive.biochemistry.gwu.edu/hive.cgi?cmd=contact","type":"Contact form"},{"url":"https://hive.biochemistry.gwu.edu/hive.cgi?cmd=main-about#training","type":"Training documentation"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2024-05-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000712","bsg-d000712"],"name":"FAIRsharing record for: BioXpress","abbreviation":"BioXpress","url":"https://fairsharing.org/10.25504/FAIRsharing.8bva0r","doi":"10.25504/FAIRsharing.8bva0r","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: BioXpress is a curated gene expression and disease association database where the expression levels are mapped to genes.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12730}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genetics","Life Science","Biomedical Science"],"domains":["Expression data","Ribonucleic acid","Next generation DNA sequencing"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":880,"pubmed_id":25819073,"title":"BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis.","year":2015,"url":"http://doi.org/10.1093/database/bav019","authors":"Quan Wan","journal":"Database (Oxford).","doi":"10.1093/database/bav019","created_at":"2021-09-30T08:23:57.137Z","updated_at":"2021-09-30T08:23:57.137Z"}],"licence_links":[{"licence_name":"GNU General Public License (GPL) 3.0","licence_id":356,"licence_url":"https://www.gnu.org/licenses/gpl.html","link_id":914,"relation":"undefined"}],"grants":[{"id":2082,"fairsharing_record_id":2238,"organisation_id":1130,"relation":"maintains","created_at":"2021-09-30T09:25:31.269Z","updated_at":"2021-09-30T09:25:31.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":1130,"name":"George Washington University, DC, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2081,"fairsharing_record_id":2238,"organisation_id":802,"relation":"funds","created_at":"2021-09-30T09:25:31.246Z","updated_at":"2021-09-30T09:29:19.486Z","grant_id":196,"is_lead":false,"saved_state":{"id":802,"name":"Early Detection Research Network (EDRN), National Cancer Institute (NCI), USA","grant":"156620","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2239","type":"fairsharing_records","attributes":{"created_at":"2015-11-27T02:05:56.000Z","updated_at":"2023-12-15T10:32:18.129Z","metadata":{"doi":"10.25504/FAIRsharing.bya6z","name":"Super-Enhancer Archive","status":"ready","contacts":[{"contact_name":"Yan Zhang","contact_email":"tyozhang@ems.hrbmu.edu.cn"}],"homepage":"http://sea.edbc.org/","identifier":2239,"description":"SEA (Super-Enhancer Archive) is a web-based comprehensive resource focusing on the collection, storage and online analysis of super-enhancers. It focuses on integrating super-enhancers in multiple species and annotating their potential roles in the regulation of cell identity gene expression. To facilitate data extraction, SEA supports multiple search options, including species, genome location, gene name, cell type/tissue, and super-enhancer name.","abbreviation":"SEA","data_curation":{"url":"http://sea.edbc.org/","type":"automated"},"support_links":[{"url":"http://www.bio-bigdata.com/SEA/contact.html","type":"Contact form"},{"url":"http://www.bio-bigdata.com/SEA/help.html","type":"Help documentation"},{"url":"http://www.bio-bigdata.com/SEA/docs/","type":"Help documentation"}],"data_versioning":"no","associated_tools":[{"url":"http://www.bio-bigdata.com/SEA/analyze.html","name":"Data Analysis 1.0"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000713","bsg-d000713"],"name":"FAIRsharing record for: Super-Enhancer Archive","abbreviation":"SEA","url":"https://fairsharing.org/10.25504/FAIRsharing.bya6z","doi":"10.25504/FAIRsharing.bya6z","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SEA (Super-Enhancer Archive) is a web-based comprehensive resource focusing on the collection, storage and online analysis of super-enhancers. It focuses on integrating super-enhancers in multiple species and annotating their potential roles in the regulation of cell identity gene expression. To facilitate data extraction, SEA supports multiple search options, including species, genome location, gene name, cell type/tissue, and super-enhancer name.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12731}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Epigenetics","Bioinformatics","Life Science"],"domains":["Taxonomic classification","Enhancer","Regulation of gene expression","Transcription factor","Chromatin immunoprecipitation - DNA sequencing"],"taxonomies":["All","Caenorhabditis elegans","Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["China"],"publications":[{"id":884,"pubmed_id":26578594,"title":"SEA: a super-enhancer archive.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1243","authors":"Yanjun Wei, Shumei Zhang, Shipeng Shang, Bin Zhang, Song Li, Xinyu Wang, Fang Wang, Jianzhong Su, Qiong Wu, Hongbo Liu, Yan Zhang*","journal":"Nucleic Acids Res.","doi":"10.1093/nar/gkv1243","created_at":"2021-09-30T08:23:57.621Z","updated_at":"2021-09-30T08:23:57.621Z"}],"licence_links":[],"grants":[{"id":9061,"fairsharing_record_id":2239,"organisation_id":554,"relation":"funds","created_at":"2022-03-29T17:10:44.285Z","updated_at":"2022-03-29T17:10:44.285Z","grant_id":782,"is_lead":false,"saved_state":{"id":554,"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China","grant":"YJSCX2014–23HYD","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2084,"fairsharing_record_id":2239,"organisation_id":554,"relation":"maintains","created_at":"2021-09-30T09:25:31.319Z","updated_at":"2021-09-30T09:25:31.319Z","grant_id":null,"is_lead":false,"saved_state":{"id":554,"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2089,"fairsharing_record_id":2239,"organisation_id":2053,"relation":"funds","created_at":"2021-09-30T09:25:31.445Z","updated_at":"2021-09-30T09:25:31.445Z","grant_id":null,"is_lead":false,"saved_state":{"id":2053,"name":"National Natural Science Foundation of China (NSFC), Beijing, China","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2085,"fairsharing_record_id":2239,"organisation_id":554,"relation":"funds","created_at":"2021-09-30T09:25:31.344Z","updated_at":"2021-09-30T09:29:11.727Z","grant_id":134,"is_lead":false,"saved_state":{"id":554,"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China","grant":"2015RAXXJ052","types":["University"],"is_lead":false,"relation":"funds"}},{"id":2083,"fairsharing_record_id":2239,"organisation_id":1203,"relation":"maintains","created_at":"2021-09-30T09:25:31.295Z","updated_at":"2021-09-30T09:25:31.295Z","grant_id":null,"is_lead":false,"saved_state":{"id":1203,"name":"Group of Computational Epigenetic Research (GCER), Harbin, China","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2087,"fairsharing_record_id":2239,"organisation_id":1659,"relation":"maintains","created_at":"2021-09-30T09:25:31.396Z","updated_at":"2021-09-30T09:25:31.396Z","grant_id":null,"is_lead":false,"saved_state":{"id":1659,"name":"Lab of Developmental Biology, Harbin Institute of Technology, Harbin, China","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2240","type":"fairsharing_records","attributes":{"created_at":"2015-11-27T10:02:47.000Z","updated_at":"2023-12-15T10:31:39.070Z","metadata":{"doi":"10.25504/FAIRsharing.k5a3yt","name":"Big Data Nucleic Acid Simulations Database","status":"ready","contacts":[{"contact_name":"Adam Hospital Gasch","contact_email":"adam.hospital@irbbarcelona.org","contact_orcid":"0000-0002-8291-8071"}],"homepage":"http://mmb.irbbarcelona.org/BIGNASim","identifier":2240,"description":"Atomistic Molecular Dynamics Simulation Trajectories and Analyses of Nucleic Acid Structures. BIGNASim is a complete platform to hold and analyse nucleic acids simulation data, based on two noSQL database engines: Cassandra to hold trajectory data and MongoDB for analyses and metadata. Most common analyses (helical parameters, NMR observables, sitffness, hydrogen bonding and stacking energies and geometries) are pre-calculated for the trajectories available and shown using the interactive visualization offered by NAFlex interface. Additionaly, whole trajectories, fragments or meta-trajectories can be analysed or downloaded for further in-house processing.","abbreviation":"BIGNASim","data_curation":{"url":"https://mmb.irbbarcelona.org/BigNASim/help.php?id=submission","type":"manual/automated"},"support_links":[{"url":"http://mmb.irbbarcelona.org/BigNASim/help.php","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","associated_tools":[{"url":"http://mmb.irbbarcelona.org/NAFlex","name":"NAFlex 1"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://mmb.irbbarcelona.org/BigNASim/help.php?id=submission","type":"open","notes":"Data should be linked to published or submitted article(s)."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000714","bsg-d000714"],"name":"FAIRsharing record for: Big Data Nucleic Acid Simulations Database","abbreviation":"BIGNASim","url":"https://fairsharing.org/10.25504/FAIRsharing.k5a3yt","doi":"10.25504/FAIRsharing.k5a3yt","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Atomistic Molecular Dynamics Simulation Trajectories and Analyses of Nucleic Acid Structures. BIGNASim is a complete platform to hold and analyse nucleic acids simulation data, based on two noSQL database engines: Cassandra to hold trajectory data and MongoDB for analyses and metadata. Most common analyses (helical parameters, NMR observables, sitffness, hydrogen bonding and stacking energies and geometries) are pre-calculated for the trajectories available and shown using the interactive visualization offered by NAFlex interface. Additionaly, whole trajectories, fragments or meta-trajectories can be analysed or downloaded for further in-house processing.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Nucleic acid sequence","Modeling and simulation","Structure"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":876,"pubmed_id":null,"title":"BIGNASim: a NoSQL database structure and analysis portal for nucleic acids simulation data","year":2015,"url":"http://mmb.irbbarcelona.org/BigNASim/dat/SupplMat.pdf","authors":"Adam Hospital, Pau Andrio, Cesare Cugnasco, Laia Codo, Yolanda Becerra, Pablo D. Dans, Federica Battistini, Jordi Torres, Ramon Goñí, Modesto Orozco and Josep Lluís Gelpí","journal":"Nucleic Acids Research, Database Issue","doi":"10.1093/nar/gkv1301","created_at":"2021-09-30T08:23:56.721Z","updated_at":"2021-09-30T08:23:56.721Z"}],"licence_links":[],"grants":[{"id":2094,"fairsharing_record_id":2240,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:25:31.593Z","updated_at":"2021-09-30T09:25:31.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2096,"fairsharing_record_id":2240,"organisation_id":167,"relation":"maintains","created_at":"2021-09-30T09:25:31.677Z","updated_at":"2021-09-30T09:25:31.677Z","grant_id":null,"is_lead":false,"saved_state":{"id":167,"name":"Barcelona Supercomputing Center (BSC), Barcelona, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2093,"fairsharing_record_id":2240,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:25:31.555Z","updated_at":"2021-09-30T09:29:38.136Z","grant_id":336,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PT13/0001/0028","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2090,"fairsharing_record_id":2240,"organisation_id":1392,"relation":"maintains","created_at":"2021-09-30T09:25:31.469Z","updated_at":"2021-09-30T09:25:31.469Z","grant_id":null,"is_lead":false,"saved_state":{"id":1392,"name":"Institute for Research in Biomedicine","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2091,"fairsharing_record_id":2240,"organisation_id":1193,"relation":"funds","created_at":"2021-09-30T09:25:31.495Z","updated_at":"2021-09-30T09:25:31.495Z","grant_id":null,"is_lead":false,"saved_state":{"id":1193,"name":"Government of Catalonia, Spain","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2092,"fairsharing_record_id":2240,"organisation_id":383,"relation":"maintains","created_at":"2021-09-30T09:25:31.523Z","updated_at":"2021-09-30T09:25:31.523Z","grant_id":null,"is_lead":false,"saved_state":{"id":383,"name":"Cataland Institution for Research and Advanced Studies (ICREA), Catalunya, Spain","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2097,"fairsharing_record_id":2240,"organisation_id":168,"relation":"maintains","created_at":"2021-09-30T09:25:31.714Z","updated_at":"2021-09-30T09:25:31.714Z","grant_id":null,"is_lead":false,"saved_state":{"id":168,"name":"Barcelona University, Barcelona, Spain","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8287,"fairsharing_record_id":2240,"organisation_id":2608,"relation":"funds","created_at":"2021-09-30T09:31:54.766Z","updated_at":"2021-09-30T09:31:54.808Z","grant_id":1383,"is_lead":false,"saved_state":{"id":2608,"name":"Spanish Instituto de Salud Carlos III Instituto Nacional de Bioinformatica","grant":"PT13/0001/0019","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9214,"fairsharing_record_id":2240,"organisation_id":2834,"relation":"funds","created_at":"2022-04-11T12:07:22.830Z","updated_at":"2022-04-11T12:07:22.830Z","grant_id":null,"is_lead":false,"saved_state":{"id":2834,"name":"The Spanish Ministerio de Ciencia e Innovacion","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2241","type":"fairsharing_records","attributes":{"created_at":"2015-11-30T16:54:38.000Z","updated_at":"2024-03-25T16:30:55.253Z","metadata":{"doi":"10.25504/FAIRsharing.p7ev6e","name":"SigMol","status":"deprecated","contacts":[{"contact_name":"Manoj Kumar","contact_email":"manojk@imtech.res.in","contact_orcid":"0000-0003-3769-052X"}],"homepage":"https://bioinfo.imtech.res.in/manojk/sigmol/","citations":[],"identifier":2241,"description":"SigMol is a specialized repository of quorom sensing signaling molecules (QSSMs) in prokaryotes. SigMol harbors information on QSSMs pertaining to different quorum sensing signaling systems namely acylated homoserine lactones (AHLs), diketopiperazines (DKPs), 4- hydroxy-2-alkylquinolines (HAQs), diffusible signal factors (DSFs), autoinducer-2 (AI-2) and others. The database includes biological as well as chemical aspects of signaling molecules. Biological information includes genes, preliminary bioassays, identification assays and applications, while chemical detail comprises of IUPAC name, SMILES and structure.","abbreviation":null,"data_curation":{"type":"manual"},"support_links":[{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/faqs.php","name":"Frequently asked questions","type":"Frequently Asked Questions (FAQs)"},{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/help.php","name":"Help","type":"Help documentation"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/compare.php","name":"Compare QSSMs"},{"url":"https://bioinfo.imtech.res.in/manojk/sigmol/draw.php","name":"Draw QSMMs"}],"deprecation_date":"2024-03-25","deprecation_reason":"This resource is no longer available at the stated homepage, and a new homepage cannot be found. Please get in touch with us if you have any information.","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000715","bsg-d000715"],"name":"FAIRsharing record for: SigMol","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.p7ev6e","doi":"10.25504/FAIRsharing.p7ev6e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SigMol is a specialized repository of quorom sensing signaling molecules (QSSMs) in prokaryotes. SigMol harbors information on QSSMs pertaining to different quorum sensing signaling systems namely acylated homoserine lactones (AHLs), diketopiperazines (DKPs), 4- hydroxy-2-alkylquinolines (HAQs), diffusible signal factors (DSFs), autoinducer-2 (AI-2) and others. The database includes biological as well as chemical aspects of signaling molecules. Biological information includes genes, preliminary bioassays, identification assays and applications, while chemical detail comprises of IUPAC name, SMILES and structure.","linked_records":[],"linking_records":[{"linking_record_name":"Chemistry","linking_record_id":3524,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11780}],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Biochemistry"],"domains":["Signaling","Assay","Structure","Gene"],"taxonomies":["Archaea","Bacteria"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":837,"pubmed_id":26490957,"title":"SigMol: repertoire of quorum sensing signaling molecules in prokaryotes","year":2015,"url":"http://doi.org/10.1093/nar/gkv1076","authors":"Akanksha Rajput, Karambir Kaur and Manoj Kumar*","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1076","created_at":"2021-09-30T08:23:52.379Z","updated_at":"2021-09-30T08:23:52.379Z"}],"licence_links":[],"grants":[{"id":2099,"fairsharing_record_id":2241,"organisation_id":618,"relation":"funds","created_at":"2021-09-30T09:25:31.770Z","updated_at":"2021-09-30T09:28:56.544Z","grant_id":25,"is_lead":false,"saved_state":{"id":618,"name":"Council of Scientific and Industrial Research","grant":"GENESIS-BSC0121","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9059,"fairsharing_record_id":2241,"organisation_id":1425,"relation":"maintains","created_at":"2022-03-29T09:58:46.476Z","updated_at":"2024-01-23T13:39:20.647Z","grant_id":null,"is_lead":true,"saved_state":{"id":1425,"name":"Institute of Microbial Technology, Council of Scientific \u0026 Industrial Research","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2100,"fairsharing_record_id":2241,"organisation_id":686,"relation":"funds","created_at":"2021-09-30T09:25:31.795Z","updated_at":"2021-09-30T09:29:30.586Z","grant_id":277,"is_lead":false,"saved_state":{"id":686,"name":"Department of Biotechnology, Ministry of Science and Technology, India","grant":"GAP0001","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbDREIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--61bc56c5a63802057ac35bcd191c97fb8b572db8/Screenshot%20from%202024-01-23%2013-36-39.png?disposition=inline","exhaustive_licences":false}},{"id":"2242","type":"fairsharing_records","attributes":{"created_at":"2015-11-30T17:56:25.000Z","updated_at":"2023-12-15T10:32:24.733Z","metadata":{"doi":"10.25504/FAIRsharing.g0c5qn","name":"enviPath","status":"ready","contacts":[{"contact_name":"Jörg Wicker","contact_email":"admin@envipath.org","contact_orcid":"0000-0003-0533-3368"}],"homepage":"https://envipath.org","citations":[{"doi":"10.1093/nar/gkv1229","pubmed_id":26582924,"publication_id":1807}],"identifier":2242,"description":"enviPath is both a database and a prediction system, for the microbial biotransformation of organic environmental contaminants. The database provides the possibility to store and view experimentally observed biotransformation pathways, and supports the annotation of pathways with experimental and environmental conditions. The pathway prediction system provides different relative reasoning models to predict likely biotransformation pathways and products.","abbreviation":"enviPath","data_curation":{"type":"not found"},"support_links":[{"url":"https://twitter.com/envipath","type":"Twitter"},{"url":"https://wiki.envipath.com/index.php/Main_Page","type":"Help documentation"}],"year_creation":2015,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012715","name":"re3data:r3d100012715","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000716","bsg-d000716"],"name":"FAIRsharing record for: enviPath","abbreviation":"enviPath","url":"https://fairsharing.org/10.25504/FAIRsharing.g0c5qn","doi":"10.25504/FAIRsharing.g0c5qn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: enviPath is both a database and a prediction system, for the microbial biotransformation of organic environmental contaminants. The database provides the possibility to store and view experimentally observed biotransformation pathways, and supports the annotation of pathways with experimental and environmental conditions. The pathway prediction system provides different relative reasoning models to predict likely biotransformation pathways and products.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase_and_repository","subjects":["Environmental Science"],"domains":["Environmental contaminant","Biotransformation"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Germany","New Zealand","Switzerland"],"publications":[{"id":1807,"pubmed_id":26582924,"title":"enviPath - The environmental contaminant biotransformation pathway resource.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1229","authors":"Wicker J,Lorsbach T,Gutlein M,Schmid E,Latino D,Kramer S,Fenner K","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1229","created_at":"2021-09-30T08:25:42.861Z","updated_at":"2021-09-30T11:29:21.094Z"},{"id":3449,"pubmed_id":null,"title":"Holistic Evaluation of Biodegradation Pathway Prediction: Assessing Multi-Step Reactions and Intermediate Products","year":2021,"url":"https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00543-x","authors":" Tam, Jason; Lorsbach, Tim; Schmidt, Sebastian; Wicker, Jörg","journal":"Journal of Cheminformatics","doi":"10.1186/s13321-021-00543-x","created_at":"2022-06-23T10:44:31.449Z","updated_at":"2022-06-23T10:44:31.449Z"},{"id":3450,"pubmed_id":null,"title":"Eawag-Soil in enviPath: a new resource for exploring regulatory pesticide soil biodegradation pathways and half-life data","year":2017,"url":"http://dx.doi.org/10.1039/C6EM00697C","authors":"Latino, Diogo A. R. S.; Wicker, Jörg; Gütlein, Martin; Schmid, Emanuel; Kramer, Stefan; Fenner, Kathrin; ","journal":"Environ. Sci.: Processes Impacts","doi":"10.1039/C6EM00697C","created_at":"2022-06-23T10:45:39.638Z","updated_at":"2022-06-23T10:45:39.638Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2710,"relation":"applies_to_content"}],"grants":[{"id":9607,"fairsharing_record_id":2242,"organisation_id":3572,"relation":"maintains","created_at":"2022-06-23T10:48:23.853Z","updated_at":"2022-06-23T10:48:23.853Z","grant_id":null,"is_lead":true,"saved_state":{"id":3572,"name":"enviPath","types":["Company"],"is_lead":true,"relation":"maintains"}},{"id":9608,"fairsharing_record_id":2242,"organisation_id":3016,"relation":"maintains","created_at":"2022-06-23T10:48:23.951Z","updated_at":"2022-06-23T10:48:43.233Z","grant_id":null,"is_lead":false,"saved_state":{"id":3016,"name":"University of Auckland, New Zealand","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2102,"fairsharing_record_id":2242,"organisation_id":814,"relation":"maintains","created_at":"2021-09-30T09:25:31.845Z","updated_at":"2021-09-30T09:25:31.845Z","grant_id":null,"is_lead":false,"saved_state":{"id":814,"name":"Eawag, Dubendorf, Switzerland","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaE1CIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--e79cfb498026327ec0f12f47e7a1ed1c3b79e8d3/enviPath-LOGO_SHORT-square.png?disposition=inline","exhaustive_licences":false}},{"id":"2243","type":"fairsharing_records","attributes":{"created_at":"2015-12-03T01:39:53.000Z","updated_at":"2023-12-15T10:31:40.623Z","metadata":{"doi":"10.25504/FAIRsharing.9fmyc7","name":"The Pain and Interoception Imaging Network","status":"ready","homepage":"https://www.painrepository.org/repositories/","identifier":2243,"description":"The PAIN Repository is a brain imaging archive for structural and functional magnetic resonance scans (MRI, fMRI and DTI) hosted at UCLA and open to all pain investigators.","abbreviation":"PAIN","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.painrepository.org/repositories/news/newsletter/","type":"Blog/News"},{"url":"https://www.painrepository.org/repositories/about/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://www.painrepository.org/repositories/join-pain/membership-information/","type":"Help documentation"},{"url":"https://twitter.com/PainRepository","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011913","name":"re3data:r3d100011913","portal":"re3data"}],"data_access_condition":{"url":"https://www.painrepository.org/repositories/join-pain/pain-repository-policies/","type":"controlled","notes":"Only members of the PAIN Archived or standardized Repositories can access data."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://www.painrepository.org/wp-content/uploads/pain_user_manual._010414.pdf","type":"controlled","notes":"Only members of the PAIN Archived or standardized Repositories can submit data."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000717","bsg-d000717"],"name":"FAIRsharing record for: The Pain and Interoception Imaging Network","abbreviation":"PAIN","url":"https://fairsharing.org/10.25504/FAIRsharing.9fmyc7","doi":"10.25504/FAIRsharing.9fmyc7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The PAIN Repository is a brain imaging archive for structural and functional magnetic resonance scans (MRI, fMRI and DTI) hosted at UCLA and open to all pain investigators.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Neurobiology","Life Science","Biomedical Science"],"domains":["Magnetic resonance imaging","Imaging","Functional magnetic resonance imaging","Diffusion tensor imaging","Pain"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States","European Union"],"publications":[{"id":1943,"pubmed_id":25902408,"title":"Pain and Interoception Imaging Network (PAIN): A multimodal, multisite, brain-imaging repository for chronic somatic and visceral pain disorders.","year":2015,"url":"http://doi.org/S1053-8119(15)00308-0","authors":"Jennifer S. Labus, Bruce Naliboff, Lisa Kilpatrick, Cathy Liu, Cody Ashe-McNalley, Ivani R. dos Santos, Mher Alaverdyan, Davis Woodwortha, Arpana Gupta, Benjamin M. Ellingsona, Kirsten Tillisch, Emeran A. Mayer","journal":"NeuroImage","doi":"10.1016/j.neuroimage.2015.04.018","created_at":"2021-09-30T08:25:58.653Z","updated_at":"2021-09-30T08:25:58.653Z"}],"licence_links":[],"grants":[{"id":2105,"fairsharing_record_id":2243,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:31.921Z","updated_at":"2021-09-30T09:25:31.921Z","grant_id":null,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2103,"fairsharing_record_id":2243,"organisation_id":2956,"relation":"funds","created_at":"2021-09-30T09:25:31.871Z","updated_at":"2021-09-30T09:25:31.871Z","grant_id":null,"is_lead":false,"saved_state":{"id":2956,"name":"United States National Center for Complementary and Integrative Health (NCCAM)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2104,"fairsharing_record_id":2243,"organisation_id":2015,"relation":"funds","created_at":"2021-09-30T09:25:31.895Z","updated_at":"2021-09-30T09:25:31.895Z","grant_id":null,"is_lead":false,"saved_state":{"id":2015,"name":"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Bethesda, MD, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2106,"fairsharing_record_id":2243,"organisation_id":3031,"relation":"maintains","created_at":"2021-09-30T09:25:32.164Z","updated_at":"2021-09-30T09:25:32.164Z","grant_id":null,"is_lead":false,"saved_state":{"id":3031,"name":"University of California, Los Angeles, CA, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2107,"fairsharing_record_id":2243,"organisation_id":1089,"relation":"maintains","created_at":"2021-09-30T09:25:32.227Z","updated_at":"2021-09-30T09:25:32.227Z","grant_id":null,"is_lead":false,"saved_state":{"id":1089,"name":"Gail and Gerald Oppenheimer Center for Neurobiology of Stress at UCLA , Los Angeles, CA, USA","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2232","type":"fairsharing_records","attributes":{"created_at":"2015-11-06T07:33:05.000Z","updated_at":"2023-06-23T10:01:59.673Z","metadata":{"doi":"10.25504/FAIRsharing.t6wjn7","name":"probeBase","status":"ready","contacts":[{"contact_name":"Daniel J. Rigden","contact_email":"drigden@liv.ac.uk"}],"homepage":"http://www.probebase.net","identifier":2232,"description":"probeBase is a manually maintained and curated database of rRNA-targeted oligonucleotide probes and primers. Contextual information and multiple options for evaluating in silico hybridization performance against the most recent rRNA sequence databases are provided for each oligonucleotide entry, which makes probeBase an important and frequently used resource for microbiology research and diagnostics. The major features of probeBase include a classification of probes and primers according to the NCBI taxonomy database, a powerful and customizable search function, which serves to query for target organisms, probe names, primers, target sites, and references. The probeBase match tool can be used to match near-full length rRNA sequences against probeBase and find all published probes targeting the query sequences. The new proxy match tool extends this analysis to partial rRNA sequences, which exploits full-length sequences in the rRNA sequence database SILVA to find published probes potentially targeting partial query sequences. A tool for submitting new or missing probe sequences or references helps to keep probeBase up-to-date.","abbreviation":"probeBase","data_curation":{"url":"https://probebase.net/node/1","type":"manual/automated","notes":"Manual when you use the submission form and automated for specific cases (e.g. probeBase offers direct submission of sequences to the TestProbe and TestPrime tools of SILVA at the Max Planck Institute for Marine Microbiology.)"},"support_links":[{"url":"probebase@microbial-ecology.net","type":"Support email"}],"year_creation":2003,"data_versioning":"no","associated_tools":[{"url":"http://probebase.csb.univie.ac.at/pb_match","name":"Sequence match"},{"url":"http://probebase.csb.univie.ac.at/pb_proxy","name":"Proxy match"}],"data_access_condition":{"url":"https://probebase.net/pb_report/probe/3704","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://probebase.net/node/8","type":"open","notes":"The form for submitting new probes or primers is currently disabled and will become available again shortly."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000706","bsg-d000706"],"name":"FAIRsharing record for: probeBase","abbreviation":"probeBase","url":"https://fairsharing.org/10.25504/FAIRsharing.t6wjn7","doi":"10.25504/FAIRsharing.t6wjn7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: probeBase is a manually maintained and curated database of rRNA-targeted oligonucleotide probes and primers. Contextual information and multiple options for evaluating in silico hybridization performance against the most recent rRNA sequence databases are provided for each oligonucleotide entry, which makes probeBase an important and frequently used resource for microbiology research and diagnostics. The major features of probeBase include a classification of probes and primers according to the NCBI taxonomy database, a powerful and customizable search function, which serves to query for target organisms, probe names, primers, target sites, and references. The probeBase match tool can be used to match near-full length rRNA sequences against probeBase and find all published probes targeting the query sequences. The new proxy match tool extends this analysis to partial rRNA sequences, which exploits full-length sequences in the rRNA sequence database SILVA to find published probes potentially targeting partial query sequences. A tool for submitting new or missing probe sequences or references helps to keep probeBase up-to-date.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12727}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Microbiology"],"domains":["Polymerase chain reaction primers","Oligonucleotide probe annotation","Ribosomal RNA","Probe","Curated information"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Austria"],"publications":[{"id":832,"pubmed_id":12520066,"title":"probeBase: an online resource for rRNA-targeted oligonucleotide probes.","year":2003,"url":"http://doi.org/10.1093/nar/gkg016","authors":"Loy A,Horn M,Wagner M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg016","created_at":"2021-09-30T08:23:51.793Z","updated_at":"2021-09-30T11:28:53.517Z"},{"id":833,"pubmed_id":17099228,"title":"probeBase--an online resource for rRNA-targeted oligonucleotide probes: new features 2007.","year":2006,"url":"http://doi.org/10.1093/nar/gkl856","authors":"Loy A,Maixner F,Wagner M,Horn M","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkl856","created_at":"2021-09-30T08:23:51.943Z","updated_at":"2021-09-30T11:28:53.600Z"},{"id":1244,"pubmed_id":26586809,"title":"probeBase--an online resource for rRNA-targeted oligonucleotide probes and primers: new features 2016.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1232","authors":"Greuter D,Loy A,Horn M,Rattei T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1232","created_at":"2021-09-30T08:24:38.764Z","updated_at":"2021-09-30T11:29:03.792Z"}],"licence_links":[],"grants":[{"id":2066,"fairsharing_record_id":2232,"organisation_id":3146,"relation":"maintains","created_at":"2021-09-30T09:25:30.722Z","updated_at":"2021-09-30T09:25:30.722Z","grant_id":null,"is_lead":false,"saved_state":{"id":3146,"name":"University of Vienna, Department of Microbiology and Ecosystem Science, Austria","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2233","type":"fairsharing_records","attributes":{"created_at":"2015-11-11T10:39:36.000Z","updated_at":"2023-12-15T10:29:56.030Z","metadata":{"doi":"10.25504/FAIRsharing.mtkc4","name":"EffectiveDB","status":"ready","contacts":[{"contact_name":"Thomas Rattei","contact_email":"thomas.rattei@univie.ac.at","contact_orcid":"0000-0002-0592-7791"}],"homepage":"http://effectivedb.org","citations":[],"identifier":2233,"description":"The Effective database contains pre-calculated predictions of bacterial secreted proteins and of functional secretion systems. Effective bundles various tools to recognize Type III secretion signals, conserved binding sites of Type III chaperones, eukaryotic-like domains and subcellular targeting signals in the host. Beyond the analysis of arbitrary protein sequence collections, the new release of Effective also provides a \"genome-mode\", in which protein sequences from nearly complete genomes or metagenomic bins can be screened for the presence of three important secretion systems (type III, IV, VI).","abbreviation":"EffectiveDB","data_curation":{"url":"https://effectivedb.org/methods","type":"automated"},"support_links":[{"url":"http://effectivedb.org/news","type":"Blog/News"},{"url":"contact.cube@univie.ac.at","type":"Support email"},{"url":"http://effectivedb.org/help","type":"Help documentation"},{"url":"http://effectivedb.org/methods","type":"Help documentation"}],"year_creation":2010,"data_versioning":"not found","data_access_condition":{"type":"not found"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://effectivedb.org/effective/browse","type":"not applicable","notes":"Accessing data deposited in EggNoOG and NCBI"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000707","bsg-d000707"],"name":"FAIRsharing record for: EffectiveDB","abbreviation":"EffectiveDB","url":"https://fairsharing.org/10.25504/FAIRsharing.mtkc4","doi":"10.25504/FAIRsharing.mtkc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Effective database contains pre-calculated predictions of bacterial secreted proteins and of functional secretion systems. Effective bundles various tools to recognize Type III secretion signals, conserved binding sites of Type III chaperones, eukaryotic-like domains and subcellular targeting signals in the host. Beyond the analysis of arbitrary protein sequence collections, the new release of Effective also provides a \"genome-mode\", in which protein sequences from nearly complete genomes or metagenomic bins can be screened for the presence of three important secretion systems (type III, IV, VI).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Computational biological predictions","Protein secretion"],"taxonomies":["Bacteria"],"user_defined_tags":[],"countries":["Austria","Canada"],"publications":[{"id":834,"pubmed_id":21071416,"title":"Effective--a database of predicted secreted bacterial proteins.","year":2010,"url":"http://doi.org/10.1093/nar/gkq1154","authors":"Jehl MA,Arnold R,Rattei T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkq1154","created_at":"2021-09-30T08:23:52.051Z","updated_at":"2021-09-30T11:28:53.684Z"},{"id":1138,"pubmed_id":26590402,"title":"EffectiveDB--updates and novel features for a better annotation of bacterial secreted proteins and Type III, IV, VI secretion systems.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1269","authors":"Eichinger V,Nussbaumer T,Platzer A,Jehl MA,Arnold R,Rattei T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1269","created_at":"2021-09-30T08:24:26.447Z","updated_at":"2021-09-30T11:29:00.386Z"}],"licence_links":[],"grants":[{"id":2067,"fairsharing_record_id":2233,"organisation_id":154,"relation":"funds","created_at":"2021-09-30T09:25:30.759Z","updated_at":"2021-09-30T09:30:02.622Z","grant_id":527,"is_lead":false,"saved_state":{"id":154,"name":"Austrian Science Fund (FWF), Austria","grant":"I 2191","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2068,"fairsharing_record_id":2233,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:30.787Z","updated_at":"2021-09-30T09:29:31.036Z","grant_id":280,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","grant":"DFG RA 1719/1-1","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2235","type":"fairsharing_records","attributes":{"created_at":"2015-11-19T12:18:20.000Z","updated_at":"2023-12-15T10:29:31.780Z","metadata":{"doi":"10.25504/FAIRsharing.fe9kyy","name":"Green Non-Coding Database","status":"ready","contacts":[{"contact_name":"Riccardo Aiese Cigliano","contact_email":"raiesecigliano@sequentiabiotech.com","contact_orcid":"0000-0002-9058-6994"}],"homepage":"http://greenc.sequentiabiotech.com/wiki2/Main_Page","citations":[],"identifier":2235,"description":"The Green Non-Coding Database (GreeNC) is a repository of lncRNAs annotated in plants and algae. By using the same pipeline to annotate lncRNAs and organizing them in a central database we aim to provide a tool for the scientific community that can boost the research on this class of transcripts. The GreeNC database provides information about sequence, genomic coordinates, coding potential and folding energy for all the identified lncRNAs. In the last update, 16 species have been updated and 78 species have been added, resulting in the annotation of more than 495 000 lncRNAs.","abbreviation":"GreeNC","data_curation":{"url":"http://greenc.sequentiabiotech.com/wiki2/Help","type":"manual/automated","notes":"All lncRNAs from GeeNC have been annotated in silico from reference transcripts using highly specific and sensitive in-house bioinformatics pipelines"},"support_links":[{"url":"http://greenc.sequentiabiotech.com/wiki2/Email","name":"Contact us","type":"Contact form"},{"url":"http://greenc.sequentiabiotech.com/wiki2/Help","name":"Help Contents","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","associated_tools":[],"data_access_condition":{"url":"http://greenc.sequentiabiotech.com/wiki2/Help","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000709","bsg-d000709"],"name":"FAIRsharing record for: Green Non-Coding Database","abbreviation":"GreeNC","url":"https://fairsharing.org/10.25504/FAIRsharing.fe9kyy","doi":"10.25504/FAIRsharing.fe9kyy","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Green Non-Coding Database (GreeNC) is a repository of lncRNAs annotated in plants and algae. By using the same pipeline to annotate lncRNAs and organizing them in a central database we aim to provide a tool for the scientific community that can boost the research on this class of transcripts. The GreeNC database provides information about sequence, genomic coordinates, coding potential and folding energy for all the identified lncRNAs. In the last update, 16 species have been updated and 78 species have been added, resulting in the annotation of more than 495 000 lncRNAs.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12728}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Life Science"],"domains":["Annotation","Long non-coding RNA"],"taxonomies":["Algae","Viridiplantae"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1521,"pubmed_id":26578586,"title":"GREENC: a Wiki-based database of plant lncRNAs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1215","authors":"Paytuvi Gallart A,Hermoso Pulido A,Anzar Martinez de Lagran I,Sanseverino W,Aiese Cigliano R","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1215","created_at":"2021-09-30T08:25:10.317Z","updated_at":"2021-09-30T11:29:12.161Z"},{"id":3787,"pubmed_id":null,"title":"GreeNC 2.0: a comprehensive database of plant long non-coding RNAs","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab1014","authors":"Di Marsico, Marco; Paytuvi Gallart, Andreu; Sanseverino, Walter; Aiese Cigliano, Riccardo; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab1014","created_at":"2023-02-22T16:30:49.461Z","updated_at":"2023-02-22T16:30:49.461Z"}],"licence_links":[],"grants":[{"id":2071,"fairsharing_record_id":2235,"organisation_id":2549,"relation":"maintains","created_at":"2021-09-30T09:25:30.875Z","updated_at":"2021-09-30T09:25:30.875Z","grant_id":null,"is_lead":false,"saved_state":{"id":2549,"name":"Sequentia Biotech SL, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2236","type":"fairsharing_records","attributes":{"created_at":"2015-11-19T15:15:30.000Z","updated_at":"2023-06-23T10:46:57.074Z","metadata":{"doi":"10.25504/FAIRsharing.1y79y9","name":"GeneWeaver","status":"ready","contacts":[{"contact_name":"Erich Baker","contact_email":"Erich_Baker@Baylor.edu","contact_orcid":"0000-0002-7798-5704"}],"homepage":"http://www.geneweaver.org","citations":[],"identifier":2236,"description":"The GeneWeaver data and analytics website is a publically available resource for storing, curating and analyzing sets of genes from heterogeneous data sources. The system enables discovery of relationships among genes, variants, traits, drugs, environments, anatomical structures and diseases implicitly found through gene set intersections. By enumerating the common and distinct biological molecules associated with all subsets of curated or user submitted groups of gene sets and gene networks, GeneWeaver empowers users with the ability to construct data driven descriptions of shared and unique biological processes, diseases and traits within and across species.","abbreviation":"GeneWeaver","data_curation":{"url":"https://www.geneweaver.org/help/#curation-guide","type":"manual"},"support_links":[{"url":"https://www.geneweaver.org/help/","type":"Help documentation"}],"year_creation":2007,"data_versioning":"not found","associated_tools":[{"url":"https://www.geneweaver.org/register_or_login","name":"Analysis tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012464","name":"re3data:r3d100012464","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_003009","name":"SciCrunch:RRID:SCR_003009","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000710","bsg-d000710"],"name":"FAIRsharing record for: GeneWeaver","abbreviation":"GeneWeaver","url":"https://fairsharing.org/10.25504/FAIRsharing.1y79y9","doi":"10.25504/FAIRsharing.1y79y9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The GeneWeaver data and analytics website is a publically available resource for storing, curating and analyzing sets of genes from heterogeneous data sources. The system enables discovery of relationships among genes, variants, traits, drugs, environments, anatomical structures and diseases implicitly found through gene set intersections. By enumerating the common and distinct biological molecules associated with all subsets of curated or user submitted groups of gene sets and gene networks, GeneWeaver empowers users with the ability to construct data driven descriptions of shared and unique biological processes, diseases and traits within and across species.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12729},{"linking_record_name":"TDR COVID-19 Participant-level data sharing platforms \u0026 registries","linking_record_id":3544,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12959}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Anatomy","Life Science","Comparative Genomics"],"domains":["Drug","Phenotype","Disease"],"taxonomies":["Caenorhabditis elegans","Canis familiaris","Danio rerio","Drosophila melanogaster","Gallus gallus","Homo sapiens","Macaca mulatta","Mus musculus","Rattus norvegicus","Saccharomyces cerevisiae"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":864,"pubmed_id":22080549,"title":"GeneWeaver: a web-based system for integrative functional genomics.","year":2011,"url":"http://doi.org/10.1093/nar/gkr968","authors":"Baker EJ,Jay JJ,Bubier JA,Langston MA,Chesler EJ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkr968","created_at":"2021-09-30T08:23:55.443Z","updated_at":"2021-09-30T11:28:54.359Z"},{"id":1634,"pubmed_id":26092690,"title":"GeneWeaver: finding consilience in heterogeneous cross-species functional genomics data.","year":2015,"url":"http://doi.org/10.1007/s00335-015-9575-x","authors":"Bubier JA,Phillips CA,Langston MA,Baker EJ,Chesler EJ","journal":"Mamm Genome","doi":"10.1007/s00335-015-9575-x","created_at":"2021-09-30T08:25:23.061Z","updated_at":"2021-09-30T08:25:23.061Z"},{"id":1635,"pubmed_id":19733230,"title":"Ontological Discovery Environment: a system for integrating gene-phenotype associations.","year":2009,"url":"http://doi.org/10.1016/j.ygeno.2009.08.016","authors":"Baker EJ,Jay JJ,Philip VM,Zhang Y,Li Z,Kirova R,Langston MA,Chesler EJ","journal":"Genomics","doi":"10.1016/j.ygeno.2009.08.016","created_at":"2021-09-30T08:25:23.170Z","updated_at":"2021-09-30T08:25:23.170Z"}],"licence_links":[{"licence_name":"GeneWeaver Data Sharing","licence_id":332,"licence_url":"https://www.geneweaver.org/datasharing","link_id":2232,"relation":"undefined"},{"licence_name":"GeneWeaver Privacy","licence_id":333,"licence_url":"https://www.geneweaver.org/privacy","link_id":2233,"relation":"undefined"}],"grants":[{"id":2075,"fairsharing_record_id":2236,"organisation_id":3137,"relation":"maintains","created_at":"2021-09-30T09:25:31.051Z","updated_at":"2021-09-30T09:25:31.051Z","grant_id":null,"is_lead":false,"saved_state":{"id":3137,"name":"University of Tennessee, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8371,"fairsharing_record_id":2236,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:32:18.408Z","updated_at":"2021-09-30T09:32:18.459Z","grant_id":1558,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"U24AA13513","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2072,"fairsharing_record_id":2236,"organisation_id":516,"relation":"maintains","created_at":"2021-09-30T09:25:30.917Z","updated_at":"2021-09-30T09:25:30.917Z","grant_id":null,"is_lead":false,"saved_state":{"id":516,"name":"Churchill Group, The Jackson Laboratory, Bar Harbor, ME, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2074,"fairsharing_record_id":2236,"organisation_id":179,"relation":"maintains","created_at":"2021-09-30T09:25:30.993Z","updated_at":"2021-09-30T09:25:30.993Z","grant_id":null,"is_lead":false,"saved_state":{"id":179,"name":"Baylor University, Texas, USA","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2076,"fairsharing_record_id":2236,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:25:31.090Z","updated_at":"2021-09-30T09:29:07.410Z","grant_id":103,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"RO1 AA18776","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2073,"fairsharing_record_id":2236,"organisation_id":1596,"relation":"funds","created_at":"2021-09-30T09:25:30.956Z","updated_at":"2021-09-30T09:32:11.886Z","grant_id":1512,"is_lead":false,"saved_state":{"id":1596,"name":"JAX Center for Precision Genetics NIH","grant":"U54OD020351","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":7885,"fairsharing_record_id":2236,"organisation_id":2029,"relation":"funds","created_at":"2021-09-30T09:29:24.749Z","updated_at":"2021-09-30T09:29:24.797Z","grant_id":237,"is_lead":false,"saved_state":{"id":2029,"name":"National Institute on Drug Abuse (NIDA), Bethesda, MD, USA","grant":"U01 AA13499","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2225","type":"fairsharing_records","attributes":{"created_at":"2015-10-13T05:19:27.000Z","updated_at":"2023-06-22T17:19:06.298Z","metadata":{"doi":"10.25504/FAIRsharing.5mf7bd","name":"Colorectal Cancer Atlas","status":"ready","contacts":[{"contact_name":"Suresh Mathivanan","contact_email":"S.Mathivanan@latrobe.edu.au","contact_orcid":"0000-0002-7290-5795"}],"homepage":"http://coloncanceratlas.org/","citations":[],"identifier":2225,"description":"Colorectral Cancer Atlas is an web-based resource which integrates genomic and proteomic pertaining to colorectal cancer cell lines and tissues. Data catalogued includes, quantitative and non-quantitative protein expression, sequence variations, cellular signaling pathways, protein-protein interactions, Gene Ontology terms, protein domains and post-translational modifications (PTMs).","abbreviation":"CRC Atlas","data_curation":{"url":"https://doi.org/10.1093/nar/gkv1097","type":"manual/automated"},"support_links":[{"url":"http://coloncanceratlas.org/faq","name":"FAQ","type":"Frequently Asked Questions (FAQs)"},{"url":"http://coloncanceratlas.org/contactus","name":"General Contact Form","type":"Contact form"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000699","bsg-d000699"],"name":"FAIRsharing record for: Colorectal Cancer Atlas","abbreviation":"CRC Atlas","url":"https://fairsharing.org/10.25504/FAIRsharing.5mf7bd","doi":"10.25504/FAIRsharing.5mf7bd","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Colorectral Cancer Atlas is an web-based resource which integrates genomic and proteomic pertaining to colorectal cancer cell lines and tissues. Data catalogued includes, quantitative and non-quantitative protein expression, sequence variations, cellular signaling pathways, protein-protein interactions, Gene Ontology terms, protein domains and post-translational modifications (PTMs).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Proteomics","Biomedical Science"],"domains":["Drug report","Cancer","Post-translational protein modification","Extracellular exosome","Mutation analysis","Protein"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Australia"],"publications":[{"id":1643,"pubmed_id":26496946,"title":"Colorectal cancer atlas: An integrative resource for genomic and proteomic annotations from colorectal cancer cell lines and tissues.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1097","authors":"Chisanga D,Keerthikumar S,Pathan M,Ariyaratne D,Kalra H,Boukouris S,Mathew NA,Al Saffar H,Gangoda L,Ang CS,Sieber OM,Mariadason JM,Dasgupta R,Chilamkurti N,Mathivanan S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1097","created_at":"2021-09-30T08:25:24.017Z","updated_at":"2021-09-30T11:29:17.644Z"}],"licence_links":[],"grants":[{"id":2044,"fairsharing_record_id":2225,"organisation_id":1994,"relation":"funds","created_at":"2021-09-30T09:25:29.886Z","updated_at":"2021-09-30T09:31:14.091Z","grant_id":1078,"is_lead":false,"saved_state":{"id":1994,"name":"National Health and Medical Research Council (NHMRC), Australia","grant":"1016599","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2226","type":"fairsharing_records","attributes":{"created_at":"2015-10-20T12:52:34.000Z","updated_at":"2023-12-15T10:32:23.944Z","metadata":{"doi":"10.25504/FAIRsharing.v1dcm3","name":"Digenic diseases database","status":"ready","contacts":[{"contact_name":"Tom Lenaerts","contact_email":"tlenaert@ulb.ac.be"}],"homepage":"http://dida.ibsquare.be","identifier":2226,"description":"DIDA (DIgenic diseases DAtabase) is a novel database that provides for the first time detailed information on genes and associated genetic variants involved in digenic diseases, the simplest form of oligogenic inheritance.","abbreviation":"DIDA","data_curation":{"type":"manual"},"support_links":[{"url":"dida@ibsquare.be","type":"Support email"},{"url":"http://dida.ibsquare.be/help/","type":"Help documentation"},{"url":"http://dida.ibsquare.be/documentation/","type":"Help documentation"}],"year_creation":2014,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://dida.ibsquare.be/submit/","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000700","bsg-d000700"],"name":"FAIRsharing record for: Digenic diseases database","abbreviation":"DIDA","url":"https://fairsharing.org/10.25504/FAIRsharing.v1dcm3","doi":"10.25504/FAIRsharing.v1dcm3","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: DIDA (DIgenic diseases DAtabase) is a novel database that provides for the first time detailed information on genes and associated genetic variants involved in digenic diseases, the simplest form of oligogenic inheritance.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Digenic inheritance","Genetic polymorphism"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Digenic disease"],"countries":["Belgium"],"publications":[{"id":1127,"pubmed_id":26481352,"title":"DIDA: A curated and annotated digenic diseases database.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1068","authors":"Gazzo AM,Daneels D,Cilia E,Bonduelle M,Abramowicz M,Van Dooren S,Smits G,Lenaerts T","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1068","created_at":"2021-09-30T08:24:25.072Z","updated_at":"2021-09-30T11:28:59.755Z"}],"licence_links":[],"grants":[{"id":2046,"fairsharing_record_id":2226,"organisation_id":2921,"relation":"funds","created_at":"2021-09-30T09:25:29.959Z","updated_at":"2021-09-30T09:25:29.959Z","grant_id":null,"is_lead":false,"saved_state":{"id":2921,"name":"United Methodist Committee on Relief (UMCOR), USA","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2045,"fairsharing_record_id":2226,"organisation_id":1025,"relation":"funds","created_at":"2021-09-30T09:25:29.916Z","updated_at":"2021-09-30T09:25:29.916Z","grant_id":null,"is_lead":false,"saved_state":{"id":1025,"name":"Fondation pour la Recherche contre le Cancer (ARC), Villejuif, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2047,"fairsharing_record_id":2226,"organisation_id":1542,"relation":"funds","created_at":"2021-09-30T09:25:30.001Z","updated_at":"2021-09-30T09:25:30.001Z","grant_id":null,"is_lead":false,"saved_state":{"id":1542,"name":"Interuniversity Institute of Bioinformatics in Brussels, Brussels, Belgium","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2048,"fairsharing_record_id":2226,"organisation_id":327,"relation":"funds","created_at":"2021-09-30T09:25:30.093Z","updated_at":"2021-09-30T09:31:57.145Z","grant_id":1402,"is_lead":false,"saved_state":{"id":327,"name":"Brussels Institute for Research and Innovation, Brussels, Belgium","grant":"RBC/13-PFS EH-11","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2227","type":"fairsharing_records","attributes":{"created_at":"2015-10-20T15:33:34.000Z","updated_at":"2023-06-23T10:49:25.177Z","metadata":{"doi":"10.25504/FAIRsharing.62p8w","name":"Scratchpads","status":"ready","contacts":[{"contact_name":"Scratchpads General Contact","contact_email":"scratchpads@nhm.ac.uk"}],"homepage":"http://scratchpads.org/","citations":[],"identifier":2227,"description":"Scratchpads are an online virtual research environment for biodiversity for the sharing of data and the creation of specific research networks. Sites can focus on specific taxonomic groups, the biodiversity of a biogeographic region, or any aspect of natural history. Scratchpads are also suitable for societies or for managing and presenting projects.","abbreviation":"Scratchpads","data_curation":{"type":"none"},"support_links":[{"url":"http://scratchpads.org/news/","name":"News","type":"Help documentation"},{"url":"https://github.com/NaturalHistoryMuseum/scratchpads2","name":"Github Repository","type":"Github"},{"url":"https://twitter.com/scratchpads","name":"@scratchpads","type":"Twitter"}],"year_creation":2007,"data_versioning":"yes","data_access_condition":{"url":"https://www.scratchpads.org/about/concept","type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.scratchpads.org/about/concept","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000701","bsg-d000701"],"name":"FAIRsharing record for: Scratchpads","abbreviation":"Scratchpads","url":"https://fairsharing.org/10.25504/FAIRsharing.62p8w","doi":"10.25504/FAIRsharing.62p8w","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Scratchpads are an online virtual research environment for biodiversity for the sharing of data and the creation of specific research networks. Sites can focus on specific taxonomic groups, the biodiversity of a biogeographic region, or any aspect of natural history. Scratchpads are also suitable for societies or for managing and presenting projects.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Natural History"],"domains":["Taxonomic classification","Bibliography","Phenotype"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1036,"pubmed_id":22207806,"title":"Scratchpads 2.0: a Virtual Research Environment supporting scholarly collaboration, communication and data publication in biodiversity science.","year":2011,"url":"http://doi.org/10.3897/zookeys.150.2193","authors":"Smith VS,Rycroft SD,Brake I,Scott B,Baker E,Livermore L,Blagoderov V,Roberts D","journal":"Zookeys","doi":"10.3897/zookeys.150.2193","created_at":"2021-09-30T08:24:14.739Z","updated_at":"2021-09-30T08:24:14.739Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":570,"relation":"undefined"},{"licence_name":"Scratchpads Terms and Conditions","licence_id":739,"licence_url":"http://scratchpads.org/about/policies/termsandconditions","link_id":574,"relation":"undefined"}],"grants":[{"id":2050,"fairsharing_record_id":2227,"organisation_id":3195,"relation":"maintains","created_at":"2021-09-30T09:25:30.166Z","updated_at":"2021-09-30T09:25:30.166Z","grant_id":null,"is_lead":false,"saved_state":{"id":3195,"name":"Vizzuality","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2054,"fairsharing_record_id":2227,"organisation_id":2093,"relation":"maintains","created_at":"2021-09-30T09:25:30.292Z","updated_at":"2021-09-30T09:25:30.292Z","grant_id":null,"is_lead":false,"saved_state":{"id":2093,"name":"Natural History Museum","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2057,"fairsharing_record_id":2227,"organisation_id":860,"relation":"maintains","created_at":"2021-09-30T09:25:30.409Z","updated_at":"2021-09-30T09:25:30.409Z","grant_id":null,"is_lead":false,"saved_state":{"id":860,"name":"Encyclopedia of Life","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2052,"fairsharing_record_id":2227,"organisation_id":892,"relation":"funds","created_at":"2021-09-30T09:25:30.219Z","updated_at":"2021-09-30T09:30:23.113Z","grant_id":687,"is_lead":false,"saved_state":{"id":892,"name":"EU FP7 ViBRANT","grant":"RI-261532","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":9485,"fairsharing_record_id":2227,"organisation_id":2461,"relation":"funds","created_at":"2022-05-03T13:18:21.948Z","updated_at":"2022-05-03T13:18:21.948Z","grant_id":null,"is_lead":false,"saved_state":{"id":2461,"name":"Royal Botanic Gardens, Kew, London, UK","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2049,"fairsharing_record_id":2227,"organisation_id":2745,"relation":"maintains","created_at":"2021-09-30T09:25:30.130Z","updated_at":"2021-09-30T09:25:30.130Z","grant_id":null,"is_lead":false,"saved_state":{"id":2745,"name":"The Biodiversity Heritage Library (BHL)","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2051,"fairsharing_record_id":2227,"organisation_id":281,"relation":"maintains","created_at":"2021-09-30T09:25:30.196Z","updated_at":"2021-09-30T09:25:30.196Z","grant_id":null,"is_lead":false,"saved_state":{"id":281,"name":"BioVeL, Europe","types":["Consortium"],"is_lead":false,"relation":"maintains"}},{"id":2058,"fairsharing_record_id":2227,"organisation_id":2305,"relation":"maintains","created_at":"2021-09-30T09:25:30.451Z","updated_at":"2021-09-30T09:25:30.451Z","grant_id":null,"is_lead":false,"saved_state":{"id":2305,"name":"Pensoft Publishers","types":["Publisher"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBYmM9IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d88c66af5cb85639e7544d994f6985d96f5fad0b/scratchpads.png?disposition=inline","exhaustive_licences":false}},{"id":"2228","type":"fairsharing_records","attributes":{"created_at":"2015-10-30T22:36:04.000Z","updated_at":"2023-06-22T16:02:13.108Z","metadata":{"doi":"10.25504/FAIRsharing.ew61fn","name":"WholeCellSimDB","status":"ready","contacts":[{"contact_name":"Jonathan Karr","contact_email":"karr@mssm.edu","contact_orcid":"0000-0002-2605-5080"}],"homepage":"http://www.wholecellsimdb.org","citations":[],"identifier":2228,"description":"WholeCellSimDB is a database of whole-cell model simulations designed to make it easy for researchers to explore and analyze whole-cell model predictions including predicted: - Metabolite concentrations, - DNA, RNA and protein expression, - DNA-bound protein positions, - DNA modification positions, and - Ribome positions.","abbreviation":"WholeCellSimDB","data_curation":{"url":"https://doi.org/10.1093/database/bau095","type":"none","notes":"Records may not be changed after deposition."},"support_links":[{"url":"wholecell@lists.stanford.edu","type":"Support email"},{"url":"http://www.wholecellsimdb.org/help","name":"Help","type":"Help documentation"},{"url":"http://www.wholecellsimdb.org/about","name":"About","type":"Help documentation"},{"url":"http://www.wholecellsimdb.org/tutorial","name":"Tutorial","type":"Training documentation"},{"url":"https://twitter.com/jonrkarr","name":"@jonrkarr","type":"Twitter"},{"url":"https://www.wholecellsimdb.org/static/doc/index.html","name":"Source code documentation","type":"Help documentation"},{"url":"https://github.com/CovertLab/WholeCellSimDB","type":"Github"},{"url":"wholecellsimdb.org/advanced_analysis_gallery","name":"Advanced analysis gallery","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/database/bau095","type":"controlled","notes":"Deposition for authors' own research group only. Local installation required for any other deposits."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000702","bsg-d000702"],"name":"FAIRsharing record for: WholeCellSimDB","abbreviation":"WholeCellSimDB","url":"https://fairsharing.org/10.25504/FAIRsharing.ew61fn","doi":"10.25504/FAIRsharing.ew61fn","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: WholeCellSimDB is a database of whole-cell model simulations designed to make it easy for researchers to explore and analyze whole-cell model predictions including predicted: - Metabolite concentrations, - DNA, RNA and protein expression, - DNA-bound protein positions, - DNA modification positions, and - Ribome positions.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12725}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Systems Biology"],"domains":["Expression data","Deoxyribonucleic acid","Metabolite","Protein"],"taxonomies":["Escherichia coli K12","Mycoplasma genitalium"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":831,"pubmed_id":25231498,"title":"WholeCellSimDB: a hybrid relational/HDF database for whole-cell model predictions.","year":2014,"url":"http://doi.org/10.1093/database/bau095","authors":"Karr JR,Phillips NC,Covert MW","journal":"Database (Oxford)","doi":"10.1093/database/bau095","created_at":"2021-09-30T08:23:51.688Z","updated_at":"2021-09-30T08:23:51.688Z"}],"licence_links":[{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":1077,"relation":"undefined"}],"grants":[{"id":7878,"fairsharing_record_id":2228,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:29:20.157Z","updated_at":"2021-09-30T09:29:20.214Z","grant_id":200,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"5DP1LM01150-05","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2059,"fairsharing_record_id":2228,"organisation_id":1627,"relation":"maintains","created_at":"2021-09-30T09:25:30.493Z","updated_at":"2021-09-30T09:25:30.493Z","grant_id":null,"is_lead":false,"saved_state":{"id":1627,"name":"Karr Lab, Institute for Multiscale Biology \u0026 Genomics, New York, NY, USA","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":2060,"fairsharing_record_id":2228,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:30.530Z","updated_at":"2021-09-30T09:29:01.667Z","grant_id":61,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"1P50GM107615","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2220","type":"fairsharing_records","attributes":{"created_at":"2015-10-08T15:22:51.000Z","updated_at":"2024-01-24T06:21:28.354Z","metadata":{"doi":"10.25504/FAIRsharing.c8dxsv","name":"ReMap","status":"ready","contacts":[{"contact_name":"Benoit Ballester","contact_email":"benoit.ballester@inserm.fr","contact_orcid":"0000-0002-0834-7135"}],"homepage":"https://remap.univ-amu.fr/","citations":[],"identifier":2220,"description":"ReMap is a large scale integrative analysis of DNA-binding experiments for Homo sapiens, Mus musculus, Drosophila melanogaster and Arabidopsis thaliana transcriptional regulators. The catalogues are the results of the manual curation of ChIP-seq, ChIP-exo, DAP-seq from public sources (GEO, ENCODE, ENA). ReMap (https://remap.univ-amu.fr) aims to provide manually curated, high-quality catalogs of regulatory regions resulting from a large-scale integrative analysis of DNA-binding experiments in Human, Mouse, Fly and Arabidopsis thaliana for hundreds of transcription factors and regulators. In this 2022 update, we have uniformly processed \u003e11 000 DNA-binding sequencing datasets from public sources across four species. The four regulatory catalogs are browsable through track hubs at UCSC, Ensembl and NCBI genome browsers. Finally, ReMap 2022 comes with a new Cis Regulatory Module identification method, improved quality controls, faster search results, and better user experience with an interactive tour and video tutorials on browsing and filtering ReMap catalogs.","abbreviation":"ReMap","data_curation":{"type":"manual"},"support_links":[{"url":"https://remap.univ-amu.fr/contact_page","name":"Contact","type":"Help documentation"},{"url":"https://remap.univ-amu.fr/about_hsap_page","name":"About","type":"Help documentation"},{"url":"https://remap.univ-amu.fr/about_trackhubs_page","name":"About Tracks","type":"Help documentation"}],"year_creation":2014,"data_versioning":"not found","associated_tools":[{"url":"http://genome-euro.ucsc.edu/cgi-bin/hgTracks?db=hg19\u0026position=chr18%3A48493295-48497350\u0026hgsid=209791310_qlUWcxlOAdmrXkAXTRadwAEW1LYn","name":"UCSC Genome Browser tracks"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000694","bsg-d000694"],"name":"FAIRsharing record for: ReMap","abbreviation":"ReMap","url":"https://fairsharing.org/10.25504/FAIRsharing.c8dxsv","doi":"10.25504/FAIRsharing.c8dxsv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ReMap is a large scale integrative analysis of DNA-binding experiments for Homo sapiens, Mus musculus, Drosophila melanogaster and Arabidopsis thaliana transcriptional regulators. The catalogues are the results of the manual curation of ChIP-seq, ChIP-exo, DAP-seq from public sources (GEO, ENCODE, ENA). ReMap (https://remap.univ-amu.fr) aims to provide manually curated, high-quality catalogs of regulatory regions resulting from a large-scale integrative analysis of DNA-binding experiments in Human, Mouse, Fly and Arabidopsis thaliana for hundreds of transcription factors and regulators. In this 2022 update, we have uniformly processed \u003e11 000 DNA-binding sequencing datasets from public sources across four species. The four regulatory catalogs are browsable through track hubs at UCSC, Ensembl and NCBI genome browsers. Finally, ReMap 2022 comes with a new Cis Regulatory Module identification method, improved quality controls, faster search results, and better user experience with an interactive tour and video tutorials on browsing and filtering ReMap catalogs.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Genome annotation","Cell line","Cancer","Enhancer","Transcription factor","Chromatin immunoprecipitation - DNA sequencing","Chromatin Interaction Analysis by Paired-End Tag sequencing","Gene regulatory element","Promoter","Regulatory region"],"taxonomies":["Arabidopsis thaliana","Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":["cis-regulatory modules"],"countries":["France"],"publications":[{"id":827,"pubmed_id":25477382,"title":"Integrative analysis of public ChIP-seq experiments reveals a complex multi-cell regulatory landscape.","year":2014,"url":"http://doi.org/10.1093/nar/gku1280","authors":"Griffon A,Barbier Q,Dalino J,van Helden J,Spicuglia S,Ballester B","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku1280","created_at":"2021-09-30T08:23:51.210Z","updated_at":"2021-09-30T11:28:53.417Z"},{"id":4084,"pubmed_id":null,"title":"ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments","year":2021,"url":"http://dx.doi.org/10.1093/nar/gkab996","authors":"Hammal, Fayrouz; de Langen, Pierre; Bergon, Aurélie; Lopez, Fabrice; Ballester, Benoit; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkab996","created_at":"2024-01-17T08:57:15.357Z","updated_at":"2024-01-17T08:57:15.357Z"},{"id":4085,"pubmed_id":null,"title":"ReMap 2018: an updated atlas of regulatory regions from an integrative analysis of DNA-binding ChIP-seq experiments","year":2017,"url":"http://dx.doi.org/10.1093/nar/gkx1092","authors":"Chèneby, Jeanne; Gheorghe, Marius; Artufel, Marie; Mathelier, Anthony; Ballester, Benoit; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkx1092","created_at":"2024-01-17T08:57:46.434Z","updated_at":"2024-01-17T08:57:46.434Z"},{"id":4086,"pubmed_id":null,"title":"ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments","year":2019,"url":"http://dx.doi.org/10.1093/nar/gkz945","authors":"Chèneby, Jeanne; Ménétrier, Zacharie; Mestdagh, Martin; Rosnet, Thomas; Douida, Allyssa; Rhalloussi, Wassim; Bergon, Aurélie; Lopez, Fabrice; Ballester, Benoit; ","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkz945","created_at":"2024-01-17T08:57:59.224Z","updated_at":"2024-01-17T08:57:59.224Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":3451,"relation":"undefined"}],"grants":[{"id":2032,"fairsharing_record_id":2220,"organisation_id":1444,"relation":"funds","created_at":"2021-09-30T09:25:29.380Z","updated_at":"2021-09-30T09:29:36.877Z","grant_id":326,"is_lead":false,"saved_state":{"id":1444,"name":"Institut National de la Sante et de la Recherche Medicale (INSERM), Paris, France","grant":"U1090 TAGC","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2033,"fairsharing_record_id":2220,"organisation_id":1025,"relation":"funds","created_at":"2021-09-30T09:25:29.417Z","updated_at":"2021-09-30T09:29:16.319Z","grant_id":169,"is_lead":false,"saved_state":{"id":1025,"name":"Fondation pour la Recherche contre le Cancer (ARC), Villejuif, France","grant":"DOC20140601414","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBbHNEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--d45a66978c2bd6ad39e3496043d0fffb81ad4004/48247965.png?disposition=inline","exhaustive_licences":false}},{"id":"2221","type":"fairsharing_records","attributes":{"created_at":"2015-09-29T07:48:35.000Z","updated_at":"2023-12-15T10:30:22.124Z","metadata":{"doi":"10.25504/FAIRsharing.gbrmh4","name":"Medaka Expression Pattern Database","status":"ready","contacts":[{"contact_name":"Juan L. Mateo","contact_email":"juan.mateo@cos.uni-heidelberg.de","contact_orcid":"0000-0001-9902-6048"}],"homepage":"http://mepd.cos.uni-heidelberg.de/","identifier":2221,"description":"MEPD contains expression data of genes and regulatory elements assayed in the Japanese killifish Medaka (Oryzias latipes).","abbreviation":"MEPD","data_curation":{"type":"not found"},"year_creation":2002,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"http://mepd.cos.uni-heidelberg.de/mepd/","type":"open","notes":"Registration required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000695","bsg-d000695"],"name":"FAIRsharing record for: Medaka Expression Pattern Database","abbreviation":"MEPD","url":"https://fairsharing.org/10.25504/FAIRsharing.gbrmh4","doi":"10.25504/FAIRsharing.gbrmh4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MEPD contains expression data of genes and regulatory elements assayed in the Japanese killifish Medaka (Oryzias latipes).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Anatomy","Endocrinology","Genetics","Life Science"],"domains":["Expression data","Sequence annotation","Enhancer","Promoter","Gene"],"taxonomies":["Oryzias latipes"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":751,"pubmed_id":15879458,"title":"MEPD: a resource for medaka gene expression patterns.","year":2005,"url":"http://doi.org/10.1093/bioinformatics/bti478","authors":"Henrich T,Ramialison M,Wittbrodt B,Assouline B,Bourrat F,Berger A,Himmelbauer H,Sasaki T,Shimizu N,Westerfield M,Kondoh H,Wittbrodt J","journal":"Bioinformatics","doi":"10.1093/bioinformatics/bti478","created_at":"2021-09-30T08:23:42.695Z","updated_at":"2021-09-30T08:23:42.695Z"},{"id":781,"pubmed_id":12519950,"title":"MEPD: a Medaka gene expression pattern database.","year":2003,"url":"http://doi.org/10.1093/nar/gkg017","authors":"Henrich T,Ramialison M,Quiring R,Wittbrodt B,Furutani-Seiki M,Wittbrodt J,Kondoh H","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkg017","created_at":"2021-09-30T08:23:46.051Z","updated_at":"2021-09-30T11:28:51.068Z"}],"licence_links":[],"grants":[{"id":2036,"fairsharing_record_id":2221,"organisation_id":466,"relation":"maintains","created_at":"2021-09-30T09:25:29.588Z","updated_at":"2021-09-30T09:25:29.588Z","grant_id":null,"is_lead":false,"saved_state":{"id":466,"name":"Centre for Organismal Studies (COS), Heidelberg, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2034,"fairsharing_record_id":2221,"organisation_id":955,"relation":"funds","created_at":"2021-09-30T09:25:29.507Z","updated_at":"2021-09-30T09:25:29.507Z","grant_id":null,"is_lead":false,"saved_state":{"id":955,"name":"European Social Fund and the state budget of the Czech Republic, Czech Republic","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2035,"fairsharing_record_id":2221,"organisation_id":2772,"relation":"funds","created_at":"2021-09-30T09:25:29.550Z","updated_at":"2021-09-30T09:25:29.550Z","grant_id":null,"is_lead":false,"saved_state":{"id":2772,"name":"The European Research Council (ERC)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2037,"fairsharing_record_id":2221,"organisation_id":826,"relation":"funds","created_at":"2021-09-30T09:25:29.625Z","updated_at":"2021-09-30T09:25:29.625Z","grant_id":null,"is_lead":false,"saved_state":{"id":826,"name":"Education Portal of the Regional Government of Castilla-La Mancha, Toledo, Spain","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2222","type":"fairsharing_records","attributes":{"created_at":"2015-10-02T15:25:17.000Z","updated_at":"2023-12-15T10:31:57.791Z","metadata":{"doi":"10.25504/FAIRsharing.d21jc4","name":"Integrated Digitized Biocollections","status":"ready","contacts":[{"contact_name":"Joanna McCaffrey","contact_email":"jmccaffrey@flmnh.ufl.edu"}],"homepage":"https://www.idigbio.org/","citations":[],"identifier":2222,"description":"iDigBio is the US national resource for digitized information about vouchered natural history collections within the context established by the NIBA community strategic plan and is supported through funds from the NSF's ADBC (Advancing Digitization of Biodiversity Collections) program. Through ADBC, data and images for millions of biological specimens are being made available in electronic format for the research community, government agencies, students, educators, and the general public.","abbreviation":"iDigBio","data_curation":{"url":"https://www.idigbio.org/wiki/index.php/Pre-digitization_Curation_and_Staging","type":"manual"},"support_links":[{"url":"https://www.idigbio.org/contact/Portal_feedback","type":"Contact form"},{"url":"https://www.idigbio.org/portal/tutorial","type":"Help documentation"},{"url":"https://www.idigbio.org/wiki/index.php/Wiki_Home","type":"Help documentation"},{"url":"https://twitter.com/iDigBio","type":"Twitter"}],"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011126","name":"re3data:r3d100011126","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014336","name":"SciCrunch:RRID:SCR_014336","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.idigbio.org/sites/default/files/DataIngestionGuide.pdf","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000696","bsg-d000696"],"name":"FAIRsharing record for: Integrated Digitized Biocollections","abbreviation":"iDigBio","url":"https://fairsharing.org/10.25504/FAIRsharing.d21jc4","doi":"10.25504/FAIRsharing.d21jc4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: iDigBio is the US national resource for digitized information about vouchered natural history collections within the context established by the NIBA community strategic plan and is supported through funds from the NSF's ADBC (Advancing Digitization of Biodiversity Collections) program. Through ADBC, data and images for millions of biological specimens are being made available in electronic format for the research community, government agencies, students, educators, and the general public.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biodiversity","Natural History"],"domains":["Image"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"iDigBio Terms of Use Policy","licence_id":423,"licence_url":"https://www.idigbio.org/content/idigbio-terms-use-policy","link_id":874,"relation":"undefined"}],"grants":[{"id":2038,"fairsharing_record_id":2222,"organisation_id":2071,"relation":"funds","created_at":"2021-09-30T09:25:29.667Z","updated_at":"2021-09-30T09:32:04.729Z","grant_id":1458,"is_lead":false,"saved_state":{"id":2071,"name":"National Science Foundation","grant":"EF-1115210","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9553,"fairsharing_record_id":2222,"organisation_id":3055,"relation":"maintains","created_at":"2022-05-20T10:27:56.544Z","updated_at":"2022-05-20T10:27:56.544Z","grant_id":null,"is_lead":true,"saved_state":{"id":3055,"name":"University of Florida","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2244","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T13:16:04.000Z","updated_at":"2023-06-23T09:56:27.913Z","metadata":{"doi":"10.25504/FAIRsharing.16v73e","name":"Autism Brain Imaging Data Exchange","status":"ready","contacts":[{"contact_name":"Adriana Di Martino","contact_email":"dimara01@nyumc.org"}],"homepage":"http://fcon_1000.projects.nitrc.org/indi/abide/","identifier":2244,"description":"Autism Brain Imaging Data Exchange (ABIDE) is a resource serving Autism spectrum disorders (ASD) data. The Autism Brain Imaging Data Exchange (ABIDE) provides previously-collected resting state functional magnetic resonance imaging (R-fMRI) datasets for the purpose of data sharing in the broader scientific community. ABIDE is intended to facilitate discovery science and comparisons across samples. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project / INDI protocols, all datasets are anonymous, with no protected health information included. Data is available for download from the ABIDE website and for searching via partner websites.","abbreviation":"ABIDE","data_curation":{"type":"not found"},"support_links":[{"url":"mostofsky@kennedykrieger.org","name":"Contact","type":"Support email"},{"url":"http://fcon_1000.projects.nitrc.org/indi/abide/databases.html","name":"Accessing Data","type":"Help documentation"}],"year_creation":2012,"data_versioning":"no","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000718","bsg-d000718"],"name":"FAIRsharing record for: Autism Brain Imaging Data Exchange","abbreviation":"ABIDE","url":"https://fairsharing.org/10.25504/FAIRsharing.16v73e","doi":"10.25504/FAIRsharing.16v73e","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Autism Brain Imaging Data Exchange (ABIDE) is a resource serving Autism spectrum disorders (ASD) data. The Autism Brain Imaging Data Exchange (ABIDE) provides previously-collected resting state functional magnetic resonance imaging (R-fMRI) datasets for the purpose of data sharing in the broader scientific community. ABIDE is intended to facilitate discovery science and comparisons across samples. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project / INDI protocols, all datasets are anonymous, with no protected health information included. Data is available for download from the ABIDE website and for searching via partner websites.","linked_records":[],"linking_records":[{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11119}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Biomedical Science"],"domains":["Autistic disorder","Magnetic resonance imaging","Imaging","Functional magnetic resonance imaging","Disease","Brain imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":["Resting state functional magnetic resonance imaging (R-fMRI)"],"countries":["Belgium","Germany","Ireland","United States"],"publications":[{"id":877,"pubmed_id":23774715,"title":"The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.","year":2013,"url":"http://doi.org/10.1038/mp.2013.78","authors":"Di Martino A,Yan CG,Li Q et al.","journal":"Mol Psychiatry","doi":"10.1038/mp.2013.78","created_at":"2021-09-30T08:23:56.822Z","updated_at":"2021-09-30T08:23:56.822Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)","licence_id":186,"licence_url":"https://creativecommons.org/licenses/by-nc-sa/3.0/","link_id":2202,"relation":"undefined"}],"grants":[{"id":2108,"fairsharing_record_id":2244,"organisation_id":155,"relation":"maintains","created_at":"2021-09-30T09:25:32.269Z","updated_at":"2021-09-30T09:25:32.269Z","grant_id":null,"is_lead":true,"saved_state":{"id":155,"name":"Autism Brain Imaging Data Exchange (ABIDE), International Neuroimaging Datasharing Initiative (INDI)","types":["Consortium"],"is_lead":true,"relation":"maintains"}},{"id":2111,"fairsharing_record_id":2244,"organisation_id":1609,"relation":"funds","created_at":"2021-09-30T09:25:32.390Z","updated_at":"2021-09-30T09:25:32.390Z","grant_id":null,"is_lead":false,"saved_state":{"id":1609,"name":"Joseph P. Healey Research Grant Program, University of Massachusetts Boston, Boston, MA, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8202,"fairsharing_record_id":2244,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:31:29.822Z","updated_at":"2021-09-30T09:31:29.866Z","grant_id":1197,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"K23MH087770","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2109,"fairsharing_record_id":2244,"organisation_id":1707,"relation":"funds","created_at":"2021-09-30T09:25:32.309Z","updated_at":"2021-09-30T09:25:32.309Z","grant_id":null,"is_lead":false,"saved_state":{"id":1707,"name":"Leon Levy Foundation, NY, USA","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2110,"fairsharing_record_id":2244,"organisation_id":2640,"relation":"funds","created_at":"2021-09-30T09:25:32.351Z","updated_at":"2021-09-30T09:25:32.351Z","grant_id":null,"is_lead":false,"saved_state":{"id":2640,"name":"Stavros Niarchos Foundation","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2112,"fairsharing_record_id":2244,"organisation_id":2022,"relation":"funds","created_at":"2021-09-30T09:25:32.427Z","updated_at":"2021-09-30T09:29:45.813Z","grant_id":391,"is_lead":false,"saved_state":{"id":2022,"name":"National Institute of Mental Health (NIMH), Bethesda, MD, USA","grant":"R03MH096321","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2247","type":"fairsharing_records","attributes":{"created_at":"2015-12-08T20:18:30.000Z","updated_at":"2023-12-15T10:31:03.530Z","metadata":{"doi":"10.25504/FAIRsharing.fb0r2g","name":"Library of Integrated Network-Based Cellular Signatures Data Portal","status":"ready","contacts":[{"contact_name":"Avi Ma'ayan","contact_email":"avi.maayan@mssm.edu"}],"homepage":"http://lincsportal.ccs.miami.edu/dcic-portal/","citations":[],"identifier":2247,"description":"The LINCS Data Portal provides a unified interface for searching LINCS dataset packages and reagents. LINCS data are being made openly available as a community resource through a series of data releases, so as to enable scientists to address a broad range of basic research questions and to facilitate the identification of biological targets for new disease therapies. LINCS datasets consist of assay results from cultured and primary human cells treated with bioactive small molecules, ligands such as growth factors and cytokines, or genetic perturbations. Many different assays are used to monitor cell responses, including assays measuring transcript and protein expression; cell phenotype data are captured by biochemical and imaging readouts. Assays are typically carried out on multiple cell types, and at multiple timepoints; perturbagen activity is monitored at multiple doses.","abbreviation":"LINCS Data Portal","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.lincsproject.org/about/","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"http://www.lincsproject.org/data/tools-and-databases/","name":"All LINCS Tools"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012421","name":"re3data:r3d100012421","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_014939","name":"SciCrunch:RRID:SCR_014939","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000721","bsg-d000721"],"name":"FAIRsharing record for: Library of Integrated Network-Based Cellular Signatures Data Portal","abbreviation":"LINCS Data Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.fb0r2g","doi":"10.25504/FAIRsharing.fb0r2g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The LINCS Data Portal provides a unified interface for searching LINCS dataset packages and reagents. LINCS data are being made openly available as a community resource through a series of data releases, so as to enable scientists to address a broad range of basic research questions and to facilitate the identification of biological targets for new disease therapies. LINCS datasets consist of assay results from cultured and primary human cells treated with bioactive small molecules, ligands such as growth factors and cytokines, or genetic perturbations. Many different assays are used to monitor cell responses, including assays measuring transcript and protein expression; cell phenotype data are captured by biochemical and imaging readouts. Assays are typically carried out on multiple cell types, and at multiple timepoints; perturbagen activity is monitored at multiple doses.","linked_records":[],"linking_records":[{"linking_record_name":"NIH-Supported Data Sharing Resources","linking_record_id":3493,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":10811},{"linking_record_name":"Open Science Prize","linking_record_id":3504,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11122},{"linking_record_name":"Library of Integrated Network-Based Cellular Signatures Data Standards","linking_record_id":3532,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11910},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12734}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","Cellular assay","Molecular interaction","Small molecule","Phenotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[{"licence_name":"Fort Lauderdale Principles","licence_id":322,"licence_url":"http://www.faang.org/data-share-principle","link_id":684,"relation":"undefined"},{"licence_name":"LINCS Data Release Policy","licence_id":492,"licence_url":"http://www.lincsproject.org/data/data-release-policy/","link_id":896,"relation":"undefined"}],"grants":[{"id":2115,"fairsharing_record_id":2247,"organisation_id":2036,"relation":"maintains","created_at":"2021-09-30T09:25:32.551Z","updated_at":"2021-09-30T09:25:32.551Z","grant_id":null,"is_lead":true,"saved_state":{"id":2036,"name":"National Institutes of Health (NIH) Big Data to Knowledge BD2K-LINCS Data Coordination and Integration Center (DCIC), Bethesda, MD, USA","types":["Government body"],"is_lead":true,"relation":"maintains"}},{"id":2116,"fairsharing_record_id":2247,"organisation_id":2035,"relation":"funds","created_at":"2021-09-30T09:25:32.590Z","updated_at":"2021-09-30T09:29:55.054Z","grant_id":467,"is_lead":false,"saved_state":{"id":2035,"name":"National Institutes of Health (NIH), Bethesda, MD, USA","grant":"NIH Common Fund","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2248","type":"fairsharing_records","attributes":{"created_at":"2015-12-09T00:28:10.000Z","updated_at":"2023-12-15T10:32:49.359Z","metadata":{"doi":"10.25504/FAIRsharing.ztvs34","name":"Database of small human non-coding RNAs","status":"ready","contacts":[{"contact_name":"Li-San Wang","contact_email":"dashr@lisanwanglab.org","contact_orcid":"0000-0002-3684-0031"}],"homepage":"http://lisanwanglab.org/DASHR","identifier":2248,"description":"Integrated annotation and sequencing-based expression data for all major classes of human small non-coding RNAs (sncRNAs) for both full sncRNA transcripts and mature sncRNA products derived from these larger RNAs.","abbreviation":"DASHR","data_curation":{"url":"https://dashr1.lisanwanglab.org/smdb.php#tabAbout","type":"manual/automated"},"support_links":[{"url":"http://lisanwanglab.org/DASHR/smdb.php#faq","type":"Frequently Asked Questions (FAQs)"}],"year_creation":2015,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000722","bsg-d000722"],"name":"FAIRsharing record for: Database of small human non-coding RNAs","abbreviation":"DASHR","url":"https://fairsharing.org/10.25504/FAIRsharing.ztvs34","doi":"10.25504/FAIRsharing.ztvs34","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Integrated annotation and sequencing-based expression data for all major classes of human small non-coding RNAs (sncRNAs) for both full sncRNA transcripts and mature sncRNA products derived from these larger RNAs.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12735}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science"],"domains":["Expression data","RNA sequence","Sequence annotation","RNA sequencing","Non-coding RNA"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":2341,"pubmed_id":26553799,"title":"DASHR: database of small human noncoding RNAs.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1188","authors":"Leung YY,Kuksa PP,Amlie-Wolf A,Valladares O,Ungar LH,Kannan S,Gregory BD,Wang LS","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1188","created_at":"2021-09-30T08:26:47.525Z","updated_at":"2021-09-30T11:29:33.488Z"}],"licence_links":[],"grants":[{"id":2119,"fairsharing_record_id":2248,"organisation_id":3113,"relation":"maintains","created_at":"2021-09-30T09:25:32.711Z","updated_at":"2021-09-30T09:25:32.711Z","grant_id":null,"is_lead":false,"saved_state":{"id":3113,"name":"University of Pennsylvania, United States","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2118,"fairsharing_record_id":2248,"organisation_id":2018,"relation":"funds","created_at":"2021-09-30T09:25:32.669Z","updated_at":"2021-09-30T09:30:55.925Z","grant_id":939,"is_lead":false,"saved_state":{"id":2018,"name":"National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA","grant":"R01-GM099962","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2117,"fairsharing_record_id":2248,"organisation_id":1379,"relation":"maintains","created_at":"2021-09-30T09:25:32.627Z","updated_at":"2021-09-30T09:25:32.627Z","grant_id":null,"is_lead":false,"saved_state":{"id":1379,"name":"Institute for Biomedical Informatics (IBI), University of Pennsylvania, Philadelphia, PA, USA","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2120,"fairsharing_record_id":2248,"organisation_id":1722,"relation":"maintains","created_at":"2021-09-30T09:25:32.751Z","updated_at":"2021-09-30T09:25:32.751Z","grant_id":null,"is_lead":true,"saved_state":{"id":1722,"name":"Lisa Wang Lab, University of Pennsylvania, United States","types":["Lab"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2223","type":"fairsharing_records","attributes":{"created_at":"2015-10-05T14:54:39.000Z","updated_at":"2023-12-15T10:30:16.154Z","metadata":{"doi":"10.25504/FAIRsharing.6w29qp","name":"VirusMentha","status":"ready","contacts":[{"contact_name":"Alberto Calderone","contact_email":"sinnefa@gmail.com","contact_orcid":"0000-0003-0876-1595"}],"homepage":"http://virusmentha.uniroma2.it/","identifier":2223,"description":"VirusMentha is a collection of viral interactions manually curated from protein-protein databases that adhere to the IMEx consortium. This resource offers a series of tools to analyse selected proteins in the context of a network of interactions. virus mentha offers direct access to viral families such as: Orthomyxoviridae, Orthoretrovirinae and Herpesviridae plus, it offers the unique possibility of searching by host organism.","abbreviation":"VirusMentha","data_curation":{"url":"https://virusmentha.uniroma2.it/about.php","type":"manual"},"support_links":[{"url":"http://virusmentha.uniroma2.it/about.php","name":"User Guide","type":"Help documentation"}],"year_creation":2014,"data_versioning":"no","cross_references":[{"url":"https://www.re3data.org/repository/r3d100010685","name":"re3data:r3d100010685","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_005987","name":"SciCrunch:RRID:SCR_005987","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000697","bsg-d000697"],"name":"FAIRsharing record for: VirusMentha","abbreviation":"VirusMentha","url":"https://fairsharing.org/10.25504/FAIRsharing.6w29qp","doi":"10.25504/FAIRsharing.6w29qp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: VirusMentha is a collection of viral interactions manually curated from protein-protein databases that adhere to the IMEx consortium. This resource offers a series of tools to analyse selected proteins in the context of a network of interactions. virus mentha offers direct access to viral families such as: Orthomyxoviridae, Orthoretrovirinae and Herpesviridae plus, it offers the unique possibility of searching by host organism.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12322},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12724}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Virology","Life Science","Epidemiology"],"domains":["Protein interaction","Network model","Protein"],"taxonomies":["Viruses"],"user_defined_tags":[],"countries":["Italy"],"publications":[{"id":820,"pubmed_id":25217587,"title":"VirusMentha: a new resource for virus-host protein interactions.","year":2014,"url":"http://doi.org/10.1093/nar/gku830","authors":"Calderone A,Licata L,Cesareni G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gku830","created_at":"2021-09-30T08:23:50.414Z","updated_at":"2021-09-30T11:28:52.943Z"}],"licence_links":[],"grants":[{"id":2040,"fairsharing_record_id":2223,"organisation_id":3119,"relation":"maintains","created_at":"2021-09-30T09:25:29.737Z","updated_at":"2021-09-30T09:25:29.737Z","grant_id":null,"is_lead":false,"saved_state":{"id":3119,"name":"University of Rome Tor Vergata, Italy","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2039,"fairsharing_record_id":2223,"organisation_id":1565,"relation":"funds","created_at":"2021-09-30T09:25:29.705Z","updated_at":"2021-09-30T09:31:13.685Z","grant_id":1074,"is_lead":false,"saved_state":{"id":1565,"name":"Italian Association for Cancer Research (AIRC), Milan, Italy","grant":"N IG 2013 N.1413","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2041,"fairsharing_record_id":2223,"organisation_id":1566,"relation":"funds","created_at":"2021-09-30T09:25:29.764Z","updated_at":"2021-09-30T09:31:30.058Z","grant_id":1199,"is_lead":false,"saved_state":{"id":1566,"name":"Italian Ministry of Education, University and Research (MIUR), Roma, Italy","grant":"RBAP11LP2W","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2224","type":"fairsharing_records","attributes":{"created_at":"2015-10-05T10:43:04.000Z","updated_at":"2024-03-21T13:57:52.039Z","metadata":{"doi":"10.25504/FAIRsharing.ss78t4","name":"SIGnaling Network Open Resource","status":"ready","contacts":[{"contact_name":"Gianni Cesareni","contact_email":"gianni.cesareni@torvergata.it","contact_orcid":"0000-0002-9528-6018"}],"homepage":"https://signor.uniroma2.it/","citations":[],"identifier":2224,"description":"SIGNOR, the SIGnaling Network Open Resource, organizes and stores in a structured format signaling information published in the scientific literature. The captured information is stored as binary causative relationships between biological entities and can be represented graphically as activity flow. The entire network can be freely downloaded and used to support logic modeling or to interpret high content datasets. Each relationship is linked to the literature reporting the experimental evidence. In addition each node is annotated with the chemical inhibitors that modulate its activity. The signaling information is mapped to the human proteome even if the experimental evidence is based on experiments on mammalian model organisms.","abbreviation":"SIGNOR","data_curation":{"url":"https://signor.uniroma2.it/","type":"manual"},"support_links":[{"url":"https://signor.uniroma2.it/user_guide.php","name":"User guide","type":"Help documentation"},{"url":"https://signor.uniroma2.it/statistics.php","name":"Statistics","type":"Help documentation"}],"year_creation":2015,"data_versioning":"yes","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000698","bsg-d000698"],"name":"FAIRsharing record for: SIGnaling Network Open Resource","abbreviation":"SIGNOR","url":"https://fairsharing.org/10.25504/FAIRsharing.ss78t4","doi":"10.25504/FAIRsharing.ss78t4","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SIGNOR, the SIGnaling Network Open Resource, organizes and stores in a structured format signaling information published in the scientific literature. The captured information is stored as binary causative relationships between biological entities and can be represented graphically as activity flow. The entire network can be freely downloaded and used to support logic modeling or to interpret high content datasets. Each relationship is linked to the literature reporting the experimental evidence. In addition each node is annotated with the chemical inhibitors that modulate its activity. The signaling information is mapped to the human proteome even if the experimental evidence is based on experiments on mammalian model organisms.","linked_records":[],"linking_records":[{"linking_record_name":"COVID-19 Resources","linking_record_id":3538,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12323}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Biology"],"domains":["Computational biological predictions","Gene functional annotation","Protein interaction","Network model","Proteome","Signaling","Molecular interaction","Gene-disease association","Literature curation","Biocuration"],"taxonomies":["Homo sapiens","Mus musculus","Rattus norvegicus"],"user_defined_tags":["COVID-19"],"countries":["Italy"],"publications":[{"id":1497,"pubmed_id":26467481,"title":"SIGNOR: a database of causal relationships between biological entities.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1048","authors":"Perfetto L,Briganti L,Calderone A,Perpetuini AC,Iannuccelli M,Langone F,Licata L,Marinkovic M,Mattioni A,Pavlidou T,Peluso D,Petrilli LL,Pirro S,Posca D,Santonico E,Silvestri A,Spada F,Castagnoli L,Cesareni G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1048","created_at":"2021-09-30T08:25:07.684Z","updated_at":"2021-09-30T11:29:10.978Z"}],"licence_links":[],"grants":[{"id":2043,"fairsharing_record_id":2224,"organisation_id":1050,"relation":"funds","created_at":"2021-09-30T09:25:29.842Z","updated_at":"2021-09-30T09:31:46.215Z","grant_id":1319,"is_lead":false,"saved_state":{"id":1050,"name":"Fraunhofer-Institut fr Angewandte Informationstechnik (FIT), Sankt Augstin, Germany","grant":"322749","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":11511,"fairsharing_record_id":2224,"organisation_id":679,"relation":"maintains","created_at":"2024-03-21T13:57:51.575Z","updated_at":"2024-03-21T13:57:51.575Z","grant_id":null,"is_lead":false,"saved_state":{"id":679,"name":"Bioinformatics and Computational Biology Unit, Molecular Genetics Laboratory, University of Rome Tor Vergata","types":["University"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2217","type":"fairsharing_records","attributes":{"created_at":"2015-07-27T08:03:11.000Z","updated_at":"2023-12-15T10:32:20.207Z","metadata":{"doi":"10.25504/FAIRsharing.wjhf24","name":"openSNP","status":"ready","contacts":[{"contact_name":"Bastian Greshake","contact_email":"bgreshake@googlemail.com","contact_orcid":"0000-0002-9925-9623"}],"homepage":"https://www.opensnp.org","identifier":2217,"description":"A crowdsourced collection of personal genomics data. Includes SNP genotyping, exome sequencing data, phenotypic annotation and quantified self tracking data.","abbreviation":"openSNP","data_curation":{"url":"https://opensnp.org/faq","type":"manual/automated"},"support_links":[{"url":"https://opensnp.wordpress.com","type":"Blog/News"},{"url":"info@opensnp.org","type":"Support email"},{"url":"https://opensnp.org/faq","type":"Frequently Asked Questions (FAQs)"},{"url":"https://twitter.com/opensnporg","type":"Twitter"}],"year_creation":2011,"data_versioning":"not found","data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://opensnp.org/signup","type":"open","notes":"Free login is required"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000691","bsg-d000691"],"name":"FAIRsharing record for: openSNP","abbreviation":"openSNP","url":"https://fairsharing.org/10.25504/FAIRsharing.wjhf24","doi":"10.25504/FAIRsharing.wjhf24","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A crowdsourced collection of personal genomics data. Includes SNP genotyping, exome sequencing data, phenotypic annotation and quantified self tracking data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genetic polymorphism","Phenotype","Single nucleotide polymorphism","Genome","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":808,"pubmed_id":24647222,"title":"openSNP--a crowdsourced web resource for personal genomics.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0089204","authors":"Greshake B,Bayer PE,Rausch H,Reda J","journal":"PLoS One","doi":"10.1371/journal.pone.0089204","created_at":"2021-09-30T08:23:49.154Z","updated_at":"2021-09-30T08:23:49.154Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)","licence_id":169,"licence_url":"https://creativecommons.org/licenses/by-nd/3.0/","link_id":907,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":262,"relation":"undefined"},{"licence_name":"Wholecells DB MIT Licence","licence_id":861,"licence_url":"http://www.wholecellsimdb.org/about","link_id":872,"relation":"undefined"}],"grants":[{"id":2025,"fairsharing_record_id":2217,"organisation_id":2264,"relation":"maintains","created_at":"2021-09-30T09:25:29.160Z","updated_at":"2021-09-30T09:25:29.160Z","grant_id":null,"is_lead":false,"saved_state":{"id":2264,"name":"openSNP Administrators","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2023,"fairsharing_record_id":2217,"organisation_id":2296,"relation":"funds","created_at":"2021-09-30T09:25:29.104Z","updated_at":"2021-09-30T09:25:29.104Z","grant_id":null,"is_lead":false,"saved_state":{"id":2296,"name":"Patreon","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2024,"fairsharing_record_id":2217,"organisation_id":1148,"relation":"funds","created_at":"2021-09-30T09:25:29.137Z","updated_at":"2021-09-30T09:25:29.137Z","grant_id":null,"is_lead":false,"saved_state":{"id":1148,"name":"German Wikimedia Foundation, Germany","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2026,"fairsharing_record_id":2217,"organisation_id":2552,"relation":"maintains","created_at":"2021-09-30T09:25:29.186Z","updated_at":"2021-09-30T09:25:29.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":2552,"name":"Seven Bridges","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2218","type":"fairsharing_records","attributes":{"created_at":"2015-08-03T17:39:40.000Z","updated_at":"2023-09-07T13:18:20.407Z","metadata":{"doi":"10.25504/FAIRsharing.emcjf0","name":"UniCarbKB","status":"deprecated","contacts":[{"contact_name":"General Enquiries","contact_email":"info@unicarbkb.org"}],"homepage":"http://www.unicarbkb.org","citations":[],"identifier":2218,"description":"UniCarbKB is an initiative that aims to promote the creation of an online information storage and search platform for glycomics and glycobiology research. The knowledgebase will offer a freely accessible and information-rich resource supported by querying interfaces, annotation technologies and the adoption of common standards to integrate structural, experimental and functional data.","abbreviation":"UniCarbKB","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.unicarbkb.org/about","type":"Help documentation"},{"url":"http://115.146.93.212/confluence/display/UK/UniCarbKB+Summary","type":"Help documentation"},{"url":"https://twitter.com/unicarbkb","type":"Twitter"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2023-09-07","deprecation_reason":"The homepage is no longer available and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000692","bsg-d000692"],"name":"FAIRsharing record for: UniCarbKB","abbreviation":"UniCarbKB","url":"https://fairsharing.org/10.25504/FAIRsharing.emcjf0","doi":"10.25504/FAIRsharing.emcjf0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: UniCarbKB is an initiative that aims to promote the creation of an online information storage and search platform for glycomics and glycobiology research. The knowledgebase will offer a freely accessible and information-rich resource supported by querying interfaces, annotation technologies and the adoption of common standards to integrate structural, experimental and functional data.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Life Science","Glycomics","Biomedical Science"],"domains":[],"taxonomies":["Apis","Aspergillus oryzae","Bos taurus","Gallus gallus","Homo sapiens","Leishmania","Oryza sativa","Rattus norvegicus","Sus scrofa","Trypanosoma cruzi"],"user_defined_tags":[],"countries":["Australia","Germany","Ireland","Japan","Sweden","Switzerland","United States"],"publications":[{"id":796,"pubmed_id":24234447,"title":"UniCarbKB: building a knowledge platform for glycoproteomics.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1128","authors":"Campbell MP,Peterson R,Mariethoz J,Gasteiger E,Akune Y,Aoki-Kinoshita KF,Lisacek F,Packer NH","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1128","created_at":"2021-09-30T08:23:47.768Z","updated_at":"2021-09-30T11:28:51.592Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States (CC BY-NC-ND 3.0 US)","licence_id":177,"licence_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/us/","link_id":873,"relation":"undefined"}],"grants":[{"id":2028,"fairsharing_record_id":2218,"organisation_id":2684,"relation":"funds","created_at":"2021-09-30T09:25:29.245Z","updated_at":"2021-09-30T09:25:29.245Z","grant_id":null,"is_lead":false,"saved_state":{"id":2684,"name":"Swiss National Science Foundation (SNSF), Switzerland","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2027,"fairsharing_record_id":2218,"organisation_id":2671,"relation":"funds","created_at":"2021-09-30T09:25:29.213Z","updated_at":"2021-09-30T09:25:29.213Z","grant_id":null,"is_lead":false,"saved_state":{"id":2671,"name":"Swedish Foundation for International Cooperation in Research and Higher Education (STINT), Sweden","types":["Undefined"],"is_lead":false,"relation":"funds"}},{"id":2029,"fairsharing_record_id":2218,"organisation_id":142,"relation":"maintains","created_at":"2021-09-30T09:25:29.269Z","updated_at":"2021-09-30T09:25:29.269Z","grant_id":null,"is_lead":false,"saved_state":{"id":142,"name":"Australian National Data Service (ANDS), Australia","types":["Government body"],"is_lead":false,"relation":"maintains"}},{"id":2030,"fairsharing_record_id":2218,"organisation_id":1989,"relation":"funds","created_at":"2021-09-30T09:25:29.299Z","updated_at":"2021-09-30T09:25:29.299Z","grant_id":null,"is_lead":false,"saved_state":{"id":1989,"name":"National eResearch Collaboration Tools and Resources project (NeCTAR), Victoria, Australia","types":["Undefined"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2219","type":"fairsharing_records","attributes":{"created_at":"2015-09-07T12:42:54.000Z","updated_at":"2022-07-20T11:26:53.462Z","metadata":{"doi":"10.25504/FAIRsharing.7v8q4h","name":"ProteoRed","status":"deprecated","contacts":[{"contact_name":"ProteoRed coordination unit","contact_email":"coordinacion@proteored.org"}],"homepage":"http://www.proteored.org","identifier":2219,"description":"Carlos III Networked Proteomics Platform, ProteoRed-ISCIII is a National Network for the coordination, integration and development of the Spanish Proteomics Facilities providing proteomics services for supporting Spanish researchers in the field of proteomics.","abbreviation":"ProteoRed","data_curation":{"type":"not found"},"support_links":[{"url":"http://www.proteored.org/web/guest/news","type":"Blog/News"},{"url":"http://www.proteored.org/web/guest/contact-us","type":"Contact form"},{"url":"http://proteo.cnb.csic.es/trac/wiki/MiapeAPIWebserviceFunctions","type":"Help documentation"}],"year_creation":2005,"data_versioning":"not found","associated_tools":[{"url":"http://proteo.cnb.csic.es:8080/pike/","name":"PIKE: Protein Information and Knowledge Extractor"},{"url":"http://estrellapolar.cnb.csic.es/proteored/miape/Miape_Intro.asp?pmPrimera=1","name":"MIAPE Extractor tool"}],"deprecation_date":"2021-9-18","deprecation_reason":"Although the project is active, this database is no longer available at the stated homepage, and updated database URLs cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000693","bsg-d000693"],"name":"FAIRsharing record for: ProteoRed","abbreviation":"ProteoRed","url":"https://fairsharing.org/10.25504/FAIRsharing.7v8q4h","doi":"10.25504/FAIRsharing.7v8q4h","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Carlos III Networked Proteomics Platform, ProteoRed-ISCIII is a National Network for the coordination, integration and development of the Spanish Proteomics Facilities providing proteomics services for supporting Spanish researchers in the field of proteomics.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Proteomics","Life Science","Biomedical Science"],"domains":["Target"],"taxonomies":["Archaea","Bacteria","Eukaryota"],"user_defined_tags":[],"countries":["Spain"],"publications":[{"id":1288,"pubmed_id":17031803,"title":"Geographical focus. Proteomics initiatives in Spain: ProteoRed.","year":2006,"url":"http://doi.org/10.1002/pmic.200600487","authors":"Paradela A,Escuredo PR,Albar JP","journal":"Proteomics","doi":"10.1002/pmic.200600487","created_at":"2021-09-30T08:24:43.758Z","updated_at":"2021-09-30T08:24:43.758Z"},{"id":1289,"pubmed_id":21983993,"title":"The ProteoRed MIAPE web toolkit: a user-friendly framework to connect and share proteomics standards.","year":2011,"url":"http://doi.org/10.1074/mcp.M111.008334","authors":"Medina-Aunon JA,Martinez-Bartolome S,Lopez-Garcia MA,Salazar E,Navajas R,Jones AR,Paradela A,Albar JP","journal":"Mol Cell Proteomics","doi":"10.1074/mcp.M111.008334","created_at":"2021-09-30T08:24:43.869Z","updated_at":"2021-09-30T08:24:43.869Z"},{"id":1290,"pubmed_id":20097317,"title":"Relevance of proteomics standards for the ProteoRed Spanish organization.","year":2010,"url":"http://doi.org/10.1016/j.jprot.2010.01.006","authors":"Martinez-Bartolome S,Blanco F,Albar JP","journal":"J Proteomics","doi":"10.1016/j.jprot.2010.01.006","created_at":"2021-09-30T08:24:43.983Z","updated_at":"2021-09-30T08:24:43.983Z"}],"licence_links":[],"grants":[{"id":2031,"fairsharing_record_id":2219,"organisation_id":481,"relation":"maintains","created_at":"2021-09-30T09:25:29.341Z","updated_at":"2021-09-30T09:25:29.341Z","grant_id":null,"is_lead":false,"saved_state":{"id":481,"name":"Centro de Investigacion Medica Aplicada (CIMA), Pamplona, Spain","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2230","type":"fairsharing_records","attributes":{"created_at":"2015-11-03T09:44:46.000Z","updated_at":"2022-09-08T13:34:53.912Z","metadata":{"doi":"10.25504/FAIRsharing.x7pwnw","name":"short Open Reading Frame database","status":"deprecated","contacts":[{"contact_name":"Volodimir Olexiouk","contact_email":"volodimir.olexiouk@ugent.be"}],"homepage":"http://www.sorfs.org","citations":[],"identifier":2230,"description":"sORFs.org is a database for sORFs identified using ribosome profiling. Starting from ribosome profiling, sORFs.org identifies sORFs, incorporates state-of-the-art tools and metrics and stores results in a public database. Two query interfaces are provided, a default one enabling quick lookup of sORFs and a BioMart interface providing advanced query and export possibilities. At present, sORFs.org harbors 263 354 sORFs that demonstrate ribosome occupancy, originating from three different cell lines: HCT116 (human), E14_mESC (mouse) and S2 (fruit fly).","abbreviation":"sorfs.org","data_curation":{"type":"not found"},"support_links":[{"url":"http://sorfs.org/contact","type":"Contact form"},{"url":"http://www.sorfs.org/info","type":"Help documentation"},{"url":"https://twitter.com/sORFdb","type":"Twitter"}],"year_creation":2015,"data_versioning":"not found","deprecation_date":"2022-07-11","deprecation_reason":"This resource no longer has a valid homepage, a new one cannot be found, and the stated contacts cannot be reached. Please let us know if you have information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000704","bsg-d000704"],"name":"FAIRsharing record for: short Open Reading Frame database","abbreviation":"sorfs.org","url":"https://fairsharing.org/10.25504/FAIRsharing.x7pwnw","doi":"10.25504/FAIRsharing.x7pwnw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: sORFs.org is a database for sORFs identified using ribosome profiling. Starting from ribosome profiling, sORFs.org identifies sORFs, incorporates state-of-the-art tools and metrics and stores results in a public database. Two query interfaces are provided, a default one enabling quick lookup of sORFs and a BioMart interface providing advanced query and export possibilities. At present, sORFs.org harbors 263 354 sORFs that demonstrate ribosome occupancy, originating from three different cell lines: HCT116 (human), E14_mESC (mouse) and S2 (fruit fly).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12726}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Genome map","Ribosomal RNA"],"taxonomies":["Drosophila melanogaster","Homo sapiens","Mus musculus"],"user_defined_tags":[],"countries":["Belgium"],"publications":[{"id":343,"pubmed_id":26527729,"title":"sORFs.org: a repository of small ORFs identified by ribosome profiling.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1175","authors":"Olexiouk V,Crappe J,Verbruggen S,Verhegen K,Martens L,Menschaert G","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1175","created_at":"2021-09-30T08:22:56.974Z","updated_at":"2021-09-30T11:28:45.617Z"}],"licence_links":[],"grants":[{"id":2063,"fairsharing_record_id":2230,"organisation_id":1658,"relation":"maintains","created_at":"2021-09-30T09:25:30.611Z","updated_at":"2021-09-30T09:25:30.611Z","grant_id":null,"is_lead":false,"saved_state":{"id":1658,"name":"Lab of bioinformatics and computational genomics (BIOBIX), Gent, Belgium","types":["Lab"],"is_lead":false,"relation":"maintains"}},{"id":9332,"fairsharing_record_id":2230,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:30.935Z","updated_at":"2022-04-11T12:07:30.949Z","grant_id":1501,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"G0D3114N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":9335,"fairsharing_record_id":2230,"organisation_id":2428,"relation":"funds","created_at":"2022-04-11T12:07:31.204Z","updated_at":"2022-04-11T12:07:31.221Z","grant_id":1741,"is_lead":false,"saved_state":{"id":2428,"name":"Research Foundation - Flanders (FWO)","grant":"12A7813N","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2294","type":"fairsharing_records","attributes":{"created_at":"2016-04-27T12:00:36.000Z","updated_at":"2023-12-15T10:31:18.244Z","metadata":{"doi":"10.25504/FAIRsharing.3rv9m8","name":"Ocean Biodiversity Information System","status":"ready","contacts":[{"contact_name":"Ward Appeltans","contact_email":"w.appeltans@unesco.org","contact_orcid":"0000-0002-3237-4547"}],"homepage":"https://obis.org/","citations":[],"identifier":2294,"description":"The Ocean Biodiversity (formerly Biogeographic) information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans. OBIS provides a portal or gateway to many datasets containing information on where and when marine species have been recorded. The datasets are integrated so you can search them all seamlessly by species name, higher taxonomic level, geographic area, depth, and time; and then map and find environmental data related to the locations.","abbreviation":"OBIS","data_curation":{"type":"not found"},"support_links":[{"url":"https://obis.org/data/policy/","name":"OBIS Data Policy","type":"Help documentation"},{"url":"https://obis.org/manual/","name":"The OBIS Manual","type":"Help documentation"},{"url":"https://www.slideshare.net/OBIS-IOC/presentations","name":"OBIS Presentations (Slideshare)","type":"Help documentation"},{"url":"https://obis.org/statistics","name":"Statistics","type":"Help documentation"},{"url":"https://obis.org/about/","name":"About OBIS","type":"Help documentation"},{"url":"https://obis.org/training/","name":"OBIS Training","type":"Training documentation"},{"url":"https://twitter.com/OBISNetwork","name":"@OBISNetwork","type":"Twitter"}],"year_creation":2000,"data_versioning":"no","associated_tools":[{"url":"https://obis.org/manual/accessr","name":"OBIS R package"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100010088","name":"re3data:r3d100010088","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006933","name":"SciCrunch:RRID:SCR_006933","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000768","bsg-d000768"],"name":"FAIRsharing record for: Ocean Biodiversity Information System","abbreviation":"OBIS","url":"https://fairsharing.org/10.25504/FAIRsharing.3rv9m8","doi":"10.25504/FAIRsharing.3rv9m8","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Ocean Biodiversity (formerly Biogeographic) information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans. OBIS provides a portal or gateway to many datasets containing information on where and when marine species have been recorded. The datasets are integrated so you can search them all seamlessly by species name, higher taxonomic level, geographic area, depth, and time; and then map and find environmental data related to the locations.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Geography","Marine Biology","Biodiversity","Earth Science","Oceanography"],"domains":["Geographical location","Marine environment"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1135,"pubmed_id":25858475,"title":"Conservation of biodiversity through taxonomy, data publication, and collaborative infrastructures.","year":2015,"url":"http://doi.org/10.1111/cobi.12496","authors":"Costello MJ,Vanhoorne B,Appeltans W","journal":"Conserv Biol","doi":"10.1111/cobi.12496","created_at":"2021-09-30T08:24:25.982Z","updated_at":"2021-09-30T08:24:25.982Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2081,"relation":"undefined"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":2082,"relation":"undefined"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":2083,"relation":"undefined"}],"grants":[{"id":2232,"fairsharing_record_id":2294,"organisation_id":1468,"relation":"maintains","created_at":"2021-09-30T09:25:36.690Z","updated_at":"2021-09-30T09:25:36.690Z","grant_id":null,"is_lead":true,"saved_state":{"id":1468,"name":"Intergovernmental Oceanographic Commission of UNESCO (IOC-UNESCO), Paris, France","types":["Consortium"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2295","type":"fairsharing_records","attributes":{"created_at":"2016-05-03T15:20:31.000Z","updated_at":"2023-12-15T10:30:22.494Z","metadata":{"doi":"10.25504/FAIRsharing.s2txbp","name":"CancerData","status":"ready","contacts":[{"contact_name":"Erik Roelofs","contact_email":"erik.roelofs@maastro.nl","contact_orcid":"0000-0003-2172-8669"}],"homepage":"https://www.cancerdata.org","identifier":2295,"description":"The CancerData site is an effort of the Medical Informatics and Knowledge Engineering team (MIKE for short) of Maastro Clinic, Maastricht, The Netherlands. It offers a central, online repository for the sustained storage of clinical protocols, publications and research datasets. The data that are offered can vary from documents, spreadsheets to (bio-)medical images and treatment simulations. CancerData is a registered member of DataCite, which is an international consortium and member of the International DOI Foundation. Via DataCite, we have the ability to offer persistent identifiers to the datasets via the registration of Digital Object Identifiers (DOI).","abbreviation":"candat","data_curation":{"type":"not found"},"support_links":[{"url":"https://www.cancerdata.org/contact","type":"Contact form"},{"url":"https://www.cancerdata.org/rss.xml","type":"Blog/News"}],"year_creation":2010,"data_versioning":"no","associated_tools":[{"url":"https://www.cancerdata.org/search","name":"Search"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100011086","name":"re3data:r3d100011086","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"url":"https://www.cancerdata.org/image_archive","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000769","bsg-d000769"],"name":"FAIRsharing record for: CancerData","abbreviation":"candat","url":"https://fairsharing.org/10.25504/FAIRsharing.s2txbp","doi":"10.25504/FAIRsharing.s2txbp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The CancerData site is an effort of the Medical Informatics and Knowledge Engineering team (MIKE for short) of Maastro Clinic, Maastricht, The Netherlands. It offers a central, online repository for the sustained storage of clinical protocols, publications and research datasets. The data that are offered can vary from documents, spreadsheets to (bio-)medical images and treatment simulations. CancerData is a registered member of DataCite, which is an international consortium and member of the International DOI Foundation. Via DataCite, we have the ability to offer persistent identifiers to the datasets via the registration of Digital Object Identifiers (DOI).","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Oncology","Health Science","Biomedical Science"],"domains":["Tumor","Image","Centrally registered identifier","Radiotherapy"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Netherlands"],"publications":[],"licence_links":[{"licence_name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","licence_id":166,"licence_url":"https://creativecommons.org/licenses/by/3.0/","link_id":1372,"relation":"undefined"}],"grants":[{"id":2233,"fairsharing_record_id":2295,"organisation_id":1740,"relation":"maintains","created_at":"2021-09-30T09:25:36.715Z","updated_at":"2021-09-30T09:25:36.715Z","grant_id":null,"is_lead":false,"saved_state":{"id":1740,"name":"MAASTRO Clinic, Maastricht, The Netherlands","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2297","type":"fairsharing_records","attributes":{"created_at":"2016-05-17T16:08:13.000Z","updated_at":"2023-06-23T10:56:00.525Z","metadata":{"doi":"10.25504/FAIRsharing.wnk2eq","name":"Medical Data Models","status":"ready","contacts":[{"contact_name":"Martin Dugas","contact_email":"dugas@uni-muenster.de","contact_orcid":"0000-0001-9740-0788"}],"homepage":"https://medical-data-models.org","citations":[],"identifier":2297,"description":"MDM-Portal (Medical Data-Models) is a meta-data registry for creating, analysing, sharing and reusing medical forms, developed by the Institute of Medical Informatics, University of Muenster in Germany. see also http://www.ncbi.nlm.nih.gov/pubmed/26868052 Electronic forms for documentation of patient data are an integral part within the workflow of physicians. A huge amount of data is collected either through routine documentation forms (EHRs) for electronic health records or as case report forms (CRFs) for clinical trials. This raises major scientific challenges for health care, since different health information systems are not necessarily compatible with each other and thus information exchange of structured data is hampered. Software vendors provide a variety of individual documentation forms according to their standard contracts, which function as isolated applications. Furthermore, free availability of those forms is rarely the case. Currently less than 5 % of medical forms are freely accessible. Based on this lack of transparency harmonization of data models in health care is extremely cumbersome, thus work and know-how of completed clinical trials and routine documentation in hospitals are hard to be re-used. The MDM-Portal serves as an infrastructure for academic (non-commercial) medical research to contribute a solution to this problem. It already contains more than 6,000 system-independent forms (CDISC ODM Format, www.cdisc.org, Operational Data Model) with more than 470,000 data-elements. This enables researchers to view, discuss, download and export forms in most common technical formats such as PDF, CSV, Excel, SQL, SPSS, R, etc. A growing user community will lead to a growing database of medical forms. In this matter, we would like to encourage all medical researchers to register and add forms and discuss existing forms.","abbreviation":"MDM","data_curation":{"type":"none"},"year_creation":2011,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100013816","name":"re3data:r3d100013816","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://medical-data-models.org/tutorial","type":"open","notes":"Free registration is required to deposit data."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000771","bsg-d000771"],"name":"FAIRsharing record for: Medical Data Models","abbreviation":"MDM","url":"https://fairsharing.org/10.25504/FAIRsharing.wnk2eq","doi":"10.25504/FAIRsharing.wnk2eq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MDM-Portal (Medical Data-Models) is a meta-data registry for creating, analysing, sharing and reusing medical forms, developed by the Institute of Medical Informatics, University of Muenster in Germany. see also http://www.ncbi.nlm.nih.gov/pubmed/26868052 Electronic forms for documentation of patient data are an integral part within the workflow of physicians. A huge amount of data is collected either through routine documentation forms (EHRs) for electronic health records or as case report forms (CRFs) for clinical trials. This raises major scientific challenges for health care, since different health information systems are not necessarily compatible with each other and thus information exchange of structured data is hampered. Software vendors provide a variety of individual documentation forms according to their standard contracts, which function as isolated applications. Furthermore, free availability of those forms is rarely the case. Currently less than 5 % of medical forms are freely accessible. Based on this lack of transparency harmonization of data models in health care is extremely cumbersome, thus work and know-how of completed clinical trials and routine documentation in hospitals are hard to be re-used. The MDM-Portal serves as an infrastructure for academic (non-commercial) medical research to contribute a solution to this problem. It already contains more than 6,000 system-independent forms (CDISC ODM Format, www.cdisc.org, Operational Data Model) with more than 470,000 data-elements. This enables researchers to view, discuss, download and export forms in most common technical formats such as PDF, CSV, Excel, SQL, SPSS, R, etc. A growing user community will lead to a growing database of medical forms. In this matter, we would like to encourage all medical researchers to register and add forms and discuss existing forms.","linked_records":[],"linking_records":[{"linking_record_name":"NFDI4Health collection - Standards for Health Research Studies","linking_record_id":4940,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":17401},{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12750}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Medicine","Biomedical Science","Translational Medicine"],"domains":["Patient care","Data model"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Worldwide"],"publications":[{"id":1159,"pubmed_id":26868052,"title":"Portal of medical data models: information infrastructure for medical research and healthcare","year":2016,"url":"http://doi.org/10.1093/database/bav121","authors":"Dugas M, Neuhaus P, Meidt A, Doods J, Storck M, Bruland P, Varghese J","journal":"Database","doi":"10.1093/database/bav121","created_at":"2021-09-30T08:24:28.885Z","updated_at":"2021-09-30T08:24:28.885Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":912,"relation":"undefined"}],"grants":[{"id":2236,"fairsharing_record_id":2297,"organisation_id":749,"relation":"funds","created_at":"2021-09-30T09:25:36.829Z","updated_at":"2021-09-30T09:25:36.829Z","grant_id":null,"is_lead":false,"saved_state":{"id":749,"name":"Deutsche Forschungsgemeinschaft (DFG)","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2235,"fairsharing_record_id":2297,"organisation_id":1423,"relation":"maintains","created_at":"2021-09-30T09:25:36.787Z","updated_at":"2021-09-30T09:25:36.787Z","grant_id":null,"is_lead":false,"saved_state":{"id":1423,"name":"Institute of Medical Informatics (IMI), University of Muenster, Muenster, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2298","type":"fairsharing_records","attributes":{"created_at":"2016-05-18T08:01:15.000Z","updated_at":"2023-06-22T16:57:21.037Z","metadata":{"doi":"10.25504/FAIRsharing.8zqzm9","name":"Ontology and Knowledge Base of Probability Distributions","status":"ready","contacts":[{"contact_name":"Maciej J Swat","contact_email":"maciej.swat@gmail.com"}],"homepage":"http://www.probonto.org","citations":[],"identifier":2298,"description":"ProbOnto, is an ontology-based knowledge base of probability distributions, featuring more than 150 uni- and multivariate distributions with their defining functions, characteristics, relationships and re-parameterization formulas. It can be used for model annotation and facilitates the encoding of distribution-based models, related functions and quantities. ProbOnto is both an ontology and a knowledge base, however its primary focus is the knowledge base.","abbreviation":"ProbOnto","data_curation":{"type":"automated"},"support_links":[{"url":"http://www.probonto.org","type":"Help documentation"},{"url":"https://www.ebi.ac.uk/biosamples/submit","name":"Movies and Figures","type":"Help documentation"},{"url":"https://github.com/probonto/ontology/issues","name":"Github issue tracker","type":"Github"}],"year_creation":2016,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000772","bsg-d000772"],"name":"FAIRsharing record for: Ontology and Knowledge Base of Probability Distributions","abbreviation":"ProbOnto","url":"https://fairsharing.org/10.25504/FAIRsharing.8zqzm9","doi":"10.25504/FAIRsharing.8zqzm9","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ProbOnto, is an ontology-based knowledge base of probability distributions, featuring more than 150 uni- and multivariate distributions with their defining functions, characteristics, relationships and re-parameterization formulas. It can be used for model annotation and facilitates the encoding of distribution-based models, related functions and quantities. ProbOnto is both an ontology and a knowledge base, however its primary focus is the knowledge base.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Statistics","Mathematics","Computational Biology","Systems Biology"],"domains":["Mathematical model","Modeling and simulation"],"taxonomies":["Not applicable"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1171,"pubmed_id":27153608,"title":"ProbOnto: ontology and knowledge base of probability distributions","year":2016,"url":"http://doi.org/10.1093/bioinformatics/btw170","authors":"Maciej J Swat, Pierre Grenon and Sarala M Wimalaratne","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btw170","created_at":"2021-09-30T08:24:30.124Z","updated_at":"2021-09-30T08:24:30.124Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":2091,"relation":"undefined"}],"grants":[{"id":2238,"fairsharing_record_id":2298,"organisation_id":786,"relation":"maintains","created_at":"2021-09-30T09:25:36.904Z","updated_at":"2021-09-30T09:25:36.904Z","grant_id":null,"is_lead":false,"saved_state":{"id":786,"name":"Drug Disease Model Resource (DDMoRe), Sandwich, UK","types":["Company"],"is_lead":false,"relation":"maintains"}},{"id":2237,"fairsharing_record_id":2298,"organisation_id":1358,"relation":"funds","created_at":"2021-09-30T09:25:36.867Z","updated_at":"2021-09-30T09:31:17.718Z","grant_id":1106,"is_lead":false,"saved_state":{"id":1358,"name":"Innovative Medicines Initiative, Europe","grant":"115156","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":9844,"fairsharing_record_id":2298,"organisation_id":3685,"relation":"undefined","created_at":"2022-09-02T08:02:44.004Z","updated_at":"2022-09-02T08:02:44.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":3685,"name":"UCL Institute of Health Informatics","types":["Research institute"],"is_lead":false,"relation":"undefined"}},{"id":9843,"fairsharing_record_id":2298,"organisation_id":908,"relation":"undefined","created_at":"2022-09-02T08:02:44.004Z","updated_at":"2022-09-02T08:02:44.004Z","grant_id":null,"is_lead":false,"saved_state":{"id":908,"name":"European Bioinformatics Institute, Wellcome Genome Campus","types":["Research institute"],"is_lead":false,"relation":"undefined"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2307","type":"fairsharing_records","attributes":{"created_at":"2016-06-21T00:43:55.000Z","updated_at":"2024-07-08T11:03:28.450Z","metadata":{"doi":"10.25504/FAIRsharing.2y6rkq","name":"Advanced Ecological Knowledge and Observation System","status":"deprecated","contacts":[{"contact_name":"Dr Anita Smyth","contact_email":"anita.smyth@adelaide.edu.au","contact_orcid":"0000-0003-2214-8842"}],"homepage":"http://www.aekos.org.au/","citations":[],"identifier":2307,"description":"The Advanced Ecological Knowledge and Observation System from the Terrestrial Ecosystem Research Network (TERN AEKOS) focuses on ecological plot data that are generated by land-based ecosystem projects that use survey, monitoring and experimental studies to collect raw data on plants, animals (including traits) and their immediate environments at the same location. Plot data are observations sampled by using scientific techniques such as quadrants, grids, transects, animal trap arrays and other structured sampling techniques.","abbreviation":"TERN AEKOS","data_curation":{},"support_links":[{"url":"http://www.ecoinformatics.org.au/contact_us","name":"Contact Information","type":"Contact form"},{"url":"http://www.ecoinformatics.org.au/feedback_centre","name":"Feedback Centre","type":"Contact form"},{"url":"esupport@tern.org.au","name":"General Contact","type":"Support email"},{"url":"http://www.ecoinformatics.org.au/help_centre","name":"Help Centre","type":"Help documentation"},{"url":"http://www.ecoinformatics.org.au/eco-informatics_facility","name":"About","type":"Help documentation"},{"url":"https://twitter.com/tern_aekos","name":"@tern_aekos","type":"Twitter"}],"year_creation":2011,"data_versioning":"not found","deprecation_date":"2024-07-08","deprecation_reason":"AusPlots and Queensland CORVEG (QBEIS in EcoPlots) data have been migrated to TERN EcoPlots, a new survey-based data integration platform. Please navigate to the TERN EcoPlots portal to discover and access AusPlots and QEBIS data.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000783","bsg-d000783"],"name":"FAIRsharing record for: Advanced Ecological Knowledge and Observation System","abbreviation":"TERN AEKOS","url":"https://fairsharing.org/10.25504/FAIRsharing.2y6rkq","doi":"10.25504/FAIRsharing.2y6rkq","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Advanced Ecological Knowledge and Observation System from the Terrestrial Ecosystem Research Network (TERN AEKOS) focuses on ecological plot data that are generated by land-based ecosystem projects that use survey, monitoring and experimental studies to collect raw data on plants, animals (including traits) and their immediate environments at the same location. Plot data are observations sampled by using scientific techniques such as quadrants, grids, transects, animal trap arrays and other structured sampling techniques.","linked_records":[],"linking_records":[{"linking_record_name":"EMBL-ABR","linking_record_id":3509,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11249}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Environmental Science","Ecology","Biodiversity","Ecosystem Science"],"domains":["Centrally registered identifier","Protocol"],"taxonomies":["Animalia","Plantae"],"user_defined_tags":["SDM modelling data","Species-environment interaction","Trait modelling data"],"countries":["Australia"],"publications":[{"id":181,"pubmed_id":null,"title":"Next-Generation Online Data and Information Infrastructure for the Ecological Science Community","year":2017,"url":"http://doi.org/https://doi.org/10.1201/9781315368252-14","authors":"Turner, David J., Smyth, Anita K., Walker, Craig M., Lowe, Andrew J.","journal":"In Terrestrial Ecosystem Research Infrastructures edited by Abad Chabbi and Henry W. Loescher. Boca Raton, FL, CRC Press, pp: 341–368","doi":"https://doi.org/10.1201/9781315368252-14","created_at":"2021-09-30T08:22:39.773Z","updated_at":"2021-09-30T08:22:39.773Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":1899,"relation":"undefined"},{"licence_name":"TERN Data Licensing Policy","licence_id":780,"licence_url":"https://www.tern.org.au/datalicence/","link_id":1903,"relation":"undefined"}],"grants":[{"id":2256,"fairsharing_record_id":2307,"organisation_id":2731,"relation":"funds","created_at":"2021-09-30T09:25:37.524Z","updated_at":"2021-09-30T09:25:37.524Z","grant_id":null,"is_lead":false,"saved_state":{"id":2731,"name":"TERN","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2257,"fairsharing_record_id":2307,"organisation_id":2859,"relation":"maintains","created_at":"2021-09-30T09:25:37.549Z","updated_at":"2021-09-30T09:25:37.549Z","grant_id":null,"is_lead":false,"saved_state":{"id":2859,"name":"Thu University of Adelaide (TERN Eco-informatics)","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2255,"fairsharing_record_id":2307,"organisation_id":1979,"relation":"funds","created_at":"2021-09-30T09:25:37.498Z","updated_at":"2021-09-30T09:29:42.271Z","grant_id":366,"is_lead":false,"saved_state":{"id":1979,"name":"National Collaborative Research Infrastructure Strategy (NCRIS), Canberra, Australia","grant":"D13/603918","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2308","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T10:26:21.000Z","updated_at":"2023-12-15T10:31:48.412Z","metadata":{"doi":"10.25504/FAIRsharing.d6xz90","name":"Structual and functional MRI data","status":"in_development","contacts":[{"contact_name":"Tomas Slavicek","contact_email":"tomas.slavicek@ceitec.muni.cz"}],"homepage":"http://mafil.ceitec.cz/en/","identifier":2308,"description":"MRI data for brain and mind research incl. simultaneous recording of EEG and electrophysiology. This resource has restricted access.","abbreviation":"MAFIL","data_curation":{"type":"not found"},"year_creation":2015,"data_versioning":"not found","data_access_condition":{"url":"https://mafil.ceitec.cz/en/research-data-handling/","type":"controlled","notes":"User can request data by email."},"data_contact_information":"not found","data_deposition_condition":{"url":"https://mafil.ceitec.cz/en/research-data-handling/","type":"controlled","notes":"Data is obtained through MAFIL imaging services."},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000784","bsg-d000784"],"name":"FAIRsharing record for: Structual and functional MRI data","abbreviation":"MAFIL","url":"https://fairsharing.org/10.25504/FAIRsharing.d6xz90","doi":"10.25504/FAIRsharing.d6xz90","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MRI data for brain and mind research incl. simultaneous recording of EEG and electrophysiology. This resource has restricted access.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11226},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11371}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Computational Neuroscience","Biomedical Science","Neuroscience"],"domains":["Medical imaging"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Czech Republic"],"publications":[],"licence_links":[{"licence_name":"MAFIL Data available on request","licence_id":500,"licence_url":"http://mafil.ceitec.cz/en/documents-for-download/","link_id":2405,"relation":"undefined"}],"grants":[{"id":2258,"fairsharing_record_id":2308,"organisation_id":1912,"relation":"maintains","created_at":"2021-09-30T09:25:37.578Z","updated_at":"2021-09-30T09:25:37.578Z","grant_id":null,"is_lead":false,"saved_state":{"id":1912,"name":"Multimodal and Functional Imaging Laboratory, Central European Institute of Technology (CEITEC), Brno, Czech Republic","types":["Lab"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2310","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T11:22:53.000Z","updated_at":"2023-12-15T10:33:01.892Z","metadata":{"doi":"10.25504/FAIRsharing.we2r5a","name":"SSBD: a platform for Systems Science of Biological Dynamics","status":"ready","contacts":[{"contact_name":"Shuichi Onami","contact_email":"sonami@riken.jp"}],"homepage":"https://ssbd.riken.jp","citations":[],"identifier":2310,"description":"SSBD is a database that collects and shares quantitative biological dynamics data, microscopy images, and software tools. SSBD provides a rich set of resources for analyzing quantitative biological data, such as single-molecule, cell, and gene expression nuclei. Quantitative biological data are collected from a variety of species, sources and methods. These include data obtained from both experiment and computational simulation.","abbreviation":"SSBD","data_curation":{"url":"https://ssbd.riken.jp/database/share-your-data/","type":"manual"},"support_links":[{"url":"http://ssbd.qbic.riken.jp/manuals/","name":"Documentation","type":"Help documentation"},{"url":"http://ssbd.qbic.riken.jp/news/","name":"News","type":"Help documentation"}],"year_creation":2013,"data_versioning":"yes","associated_tools":[{"url":"https://github.com/openssbd/OpenSSBD/","name":"Open source version of the SSBD software platform"},{"url":"http://ssbd.qbic.riken.jp/software/","name":"List of software tools available for download"},{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{},"data_deposition_condition":{"url":"https://ssbd.riken.jp/database/share-your-data/","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000786","bsg-d000786"],"name":"FAIRsharing record for: SSBD: a platform for Systems Science of Biological Dynamics","abbreviation":"SSBD","url":"https://fairsharing.org/10.25504/FAIRsharing.we2r5a","doi":"10.25504/FAIRsharing.we2r5a","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SSBD is a database that collects and shares quantitative biological dynamics data, microscopy images, and software tools. SSBD provides a rich set of resources for analyzing quantitative biological data, such as single-molecule, cell, and gene expression nuclei. Quantitative biological data are collected from a variety of species, sources and methods. These include data obtained from both experiment and computational simulation.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11228},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11373}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular Dynamics","Developmental Biology","Cell Biology"],"domains":["Bioimaging","Microscopy","High-content screen"],"taxonomies":["Caenorhabditis elegans","Danio rerio","Dictyostelium discoideum","Drosophila melanogaster","Escherichia coli","Mus musculus","Rattus norvegicus"],"user_defined_tags":[],"countries":["Japan"],"publications":[{"id":1383,"pubmed_id":27412095,"title":"SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena.","year":2016,"url":"http://doi.org/10.1093/bioinformatics/btw417","authors":"Tohsato Y,Ho KH,Kyoda K,Onami S","journal":"Bioinformatics","doi":"10.1093/bioinformatics/btw417","created_at":"2021-09-30T08:24:54.660Z","updated_at":"2021-09-30T08:24:54.660Z"}],"licence_links":[{"licence_name":"Individual licenses based on creative commons are annotated to each dataset","licence_id":436,"licence_url":"https://creativecommons.org/","link_id":2357,"relation":"undefined"},{"licence_name":"SSBD Copyright Notice","licence_id":757,"licence_url":"http://ssbd.qbic.riken.jp/copyright/","link_id":2358,"relation":"undefined"}],"grants":[{"id":2263,"fairsharing_record_id":2310,"organisation_id":1953,"relation":"funds","created_at":"2021-09-30T09:25:37.763Z","updated_at":"2021-09-30T09:25:37.763Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"funds"}},{"id":2262,"fairsharing_record_id":2310,"organisation_id":2443,"relation":"maintains","created_at":"2021-09-30T09:25:37.721Z","updated_at":"2023-06-30T19:54:55.304Z","grant_id":null,"is_lead":true,"saved_state":{"id":2443,"name":"RIKEN Center for Biosystems Dynamics Research","types":["Research institute"],"is_lead":true,"relation":"maintains"}},{"id":10730,"fairsharing_record_id":2310,"organisation_id":1592,"relation":"funds","created_at":"2023-06-30T19:54:55.167Z","updated_at":"2023-06-30T19:54:55.167Z","grant_id":null,"is_lead":false,"saved_state":{"id":1592,"name":"Japan Science and Technology Agency (JST), Tokyo, Japan","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2311","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T13:13:36.000Z","updated_at":"2021-11-24T13:19:32.066Z","metadata":{"doi":"10.25504/FAIRsharing.pd7q00","name":"SYSGRO: A resource of fission yeast phenotypic data \u0026 analysis","status":"deprecated","contacts":[{"contact_name":"Rafael E. Carazo Salas","contact_email":"cre20@cam.ac.uk"}],"homepage":"http://smc.sysgro.org/","identifier":2311,"description":"SYSGRO is a high throughput/high-content microscopy fission yeast phenotype database from the Carazo Salas Lab in the University of Cambridge UK, funded thanks to a EU ERC Starting Grant. It contains cell shape, microtubule \u0026 cell cycle progression computational phenotypes for 3004 non-essential gene knockout cell lines. It is the first multi-phenotypic microscopy profiling functional genomics resource for any organism/","abbreviation":"SYSGRO","data_curation":{"type":"not found"},"support_links":[{"url":"contact@sysgro.org","type":"Support email"}],"year_creation":2014,"data_versioning":"not found","deprecation_date":"2020-03-05","deprecation_reason":"The homepage no longer exists, and the project appears to be closed (https://cordis.europa.eu/project/id/243283/reporting). Please contact us if you have any information regarding this resource.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000787","bsg-d000787"],"name":"FAIRsharing record for: SYSGRO: A resource of fission yeast phenotypic data \u0026 analysis","abbreviation":"SYSGRO","url":"https://fairsharing.org/10.25504/FAIRsharing.pd7q00","doi":"10.25504/FAIRsharing.pd7q00","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: SYSGRO is a high throughput/high-content microscopy fission yeast phenotype database from the Carazo Salas Lab in the University of Cambridge UK, funded thanks to a EU ERC Starting Grant. It contains cell shape, microtubule \u0026 cell cycle progression computational phenotypes for 3004 non-essential gene knockout cell lines. It is the first multi-phenotypic microscopy profiling functional genomics resource for any organism/","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11229},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11374}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","Cell cycle","Cell division","Phenotype","High-content screen"],"taxonomies":["Schizosaccharomyces pombe"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1239,"pubmed_id":25373780,"title":"A genomic Multiprocess survey of machineries that control and link cell shape, microtubule organization, and cell-cycle progression.","year":2014,"url":"http://doi.org/10.1016/j.devcel.2014.09.005","authors":"Graml V,Studera X,Lawson JL,Chessel A,Geymonat M,Bortfeld-Miller M,Walter T,Wagstaff L,Piddini E,Carazo-Salas RE","journal":"Dev Cell","doi":"10.1016/j.devcel.2014.09.005","created_at":"2021-09-30T08:24:38.224Z","updated_at":"2021-09-30T08:24:38.224Z"}],"licence_links":[],"grants":[{"id":2264,"fairsharing_record_id":2311,"organisation_id":2783,"relation":"maintains","created_at":"2021-09-30T09:25:37.801Z","updated_at":"2021-09-30T09:25:37.801Z","grant_id":null,"is_lead":false,"saved_state":{"id":2783,"name":"The Gurdon Institute, University of Cambridge, UK","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2265,"fairsharing_record_id":2311,"organisation_id":1050,"relation":"funds","created_at":"2021-09-30T09:25:37.841Z","updated_at":"2021-09-30T09:31:23.792Z","grant_id":1150,"is_lead":false,"saved_state":{"id":1050,"name":"Fraunhofer-Institut fr Angewandte Informationstechnik (FIT), Sankt Augstin, Germany","grant":"ERC Starting grant","types":["Research institute"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2314","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T13:45:13.000Z","updated_at":"2021-11-24T13:19:32.223Z","metadata":{"doi":"10.25504/FAIRsharing.88kgtp","name":"Bioimaging","status":"deprecated","contacts":[{"contact_name":"Jaime Prilusky","contact_email":"jaime.prilusky@weizmann.ac.il","contact_orcid":"0000-0002-7019-0191"}],"homepage":"http://bioimg.weizmann.ac.il","identifier":2314,"description":"Bioimg is a central storage server for all the imaging data acquired at the Imaging Units at theWeizmann Institute of Science (WIS) together with instruments of Research Groups in WIS. The data is automatic and incrementally copied to Bioimg several times a day. Metadata can be added to the files to track experiment's information and important notes and to enable efficient search. The stored data is available campus-wide over the network, and can be shared with other users. The Bioimg is available for other Institutions. FAIRsharing does not know the current status of this resource, and we have therefore marked its status as Uncertain. Please contact us if you have any recent information on this resource.","abbreviation":"Bioimg","data_curation":{"type":"not found"},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. This resource was marked within FAIRsharing as Uncertain in 2019, and then further updated to a deprecated status when no further information could be found.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000790","bsg-d000790"],"name":"FAIRsharing record for: Bioimaging","abbreviation":"Bioimg","url":"https://fairsharing.org/10.25504/FAIRsharing.88kgtp","doi":"10.25504/FAIRsharing.88kgtp","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bioimg is a central storage server for all the imaging data acquired at the Imaging Units at theWeizmann Institute of Science (WIS) together with instruments of Research Groups in WIS. The data is automatic and incrementally copied to Bioimg several times a day. Metadata can be added to the files to track experiment's information and important notes and to enable efficient search. The stored data is available campus-wide over the network, and can be shared with other users. The Bioimg is available for other Institutions. FAIRsharing does not know the current status of this resource, and we have therefore marked its status as Uncertain. Please contact us if you have any recent information on this resource.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11232},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11377}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","High-content screen"],"taxonomies":["All"],"user_defined_tags":["Pre-clinical imaging"],"countries":["Israel"],"publications":[],"licence_links":[],"grants":[],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2319","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T14:54:25.000Z","updated_at":"2023-06-23T16:20:37.948Z","metadata":{"doi":"10.25504/FAIRsharing.nv1n5s","name":"Liverpool CCI OMERO","status":"ready","contacts":[{"contact_name":"Facility Manager","contact_email":"cci@liv.ac.uk"}],"homepage":"http://cci02.liv.ac.uk/gallery/","identifier":2319,"description":"A repository of image / SPM data to support users of the Centre for Cell Imaging, University of Liverpool.","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2014,"data_versioning":"not found","data_access_condition":{"url":"https://cci02.liv.ac.uk/gallery/","type":"partially open","notes":"Only public data is available for user logged in with \"public user\""},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000795","bsg-d000795"],"name":"FAIRsharing record for: Liverpool CCI OMERO","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.nv1n5s","doi":"10.25504/FAIRsharing.nv1n5s","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: A repository of image / SPM data to support users of the Centre for Cell Imaging, University of Liverpool.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11237},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11382}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1353,"pubmed_id":null,"title":"The Spherical Nucleic Acids mRNA Detection Paradox","year":2015,"url":"http://doi.org/10.14293/S2199-1006.1.SOR-CHEM.AZ1MJU.v2","authors":"D Mason, G Carolan, M Held, J Comenge, S Cowman, R Lévy","journal":"Science Open","doi":"10.14293/S2199-1006.1.SOR-CHEM.AZ1MJU.v2","created_at":"2021-09-30T08:24:51.394Z","updated_at":"2021-09-30T08:24:51.394Z"},{"id":1354,"pubmed_id":27009190,"title":"Selectivity in glycosaminoglycan binding dictates the distribution and diffusion of fibroblast growth factors in the pericellular matrix.","year":2016,"url":"http://doi.org/10.1098/rsob.150277","authors":"Sun C,Marcello M,Li Y,Mason D,Levy R,Fernig DG","journal":"Open Biol","doi":"10.1098/rsob.150277","created_at":"2021-09-30T08:24:51.501Z","updated_at":"2021-09-30T08:24:51.501Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":442,"relation":"undefined"}],"grants":[{"id":2275,"fairsharing_record_id":2319,"organisation_id":1812,"relation":"funds","created_at":"2021-09-30T09:25:38.222Z","updated_at":"2021-09-30T09:32:46.797Z","grant_id":1774,"is_lead":false,"saved_state":{"id":1812,"name":"Medical Research Council (MRC), London, UK","grant":"MR/K015931/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2274,"fairsharing_record_id":2319,"organisation_id":458,"relation":"maintains","created_at":"2021-09-30T09:25:38.186Z","updated_at":"2021-09-30T09:25:38.186Z","grant_id":null,"is_lead":false,"saved_state":{"id":458,"name":"Centre for Cell Imaging, Institute of Integrative Biology, University of Liverpool, Liverpool, UK","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2321","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T15:51:43.000Z","updated_at":"2021-11-24T13:19:32.519Z","metadata":{"doi":"10.25504/FAIRsharing.erhnxs","name":"LCI facility data repository","status":"deprecated","contacts":[{"contact_name":"Sylvie Le Guyader","contact_email":"Sylvie.le.guyader@ki.se"}],"homepage":"http://ki.se/en/bionut/welcome-to-the-lci-facility","identifier":2321,"description":"This database is in development and as yet does not have a description available .","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-20","deprecation_reason":"This resource's homepage no longer has any reference to a data repository, and as such this record has been deprecated","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000797","bsg-d000797"],"name":"FAIRsharing record for: LCI facility data repository","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.erhnxs","doi":"10.25504/FAIRsharing.erhnxs","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: This database is in development and as yet does not have a description available .","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11239},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11384}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","High-content screen"],"taxonomies":[],"user_defined_tags":[],"countries":["Sweden"],"publications":[],"licence_links":[],"grants":[{"id":2277,"fairsharing_record_id":2321,"organisation_id":1626,"relation":"maintains","created_at":"2021-09-30T09:25:38.302Z","updated_at":"2021-09-30T09:25:38.302Z","grant_id":null,"is_lead":false,"saved_state":{"id":1626,"name":"Karolinska Institutet, Stockholm, Sweden","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2323","type":"fairsharing_records","attributes":{"created_at":"2016-08-03T11:18:49.000Z","updated_at":"2022-07-20T12:46:38.124Z","metadata":{"doi":"10.25504/FAIRsharing.xypv6g","name":"ViBE-Z: The Virtual Brain Explorer for Zebrafish","status":"deprecated","contacts":[{"contact_name":"Olaf Ronneberger","contact_email":"ronneber@informatik.uni-freiburg.de"}],"homepage":"http://vibez.informatik.uni-freiburg.de","identifier":2323,"description":"ViBE-Z, the Virtual Brain Explorer for Zebrafish is an imaging and image analysis framework for virtual colocalization studies in larval zebrafish brains, currently available for 72hpf, 48hpf and 96hpf old larvae. ViBE-Z contains a database with precisely aligned gene expression patterns (1um 3 resolution), an anatomical atlas, and a software. This software creates high-quality data sets by fusing multiple confocal microscopic image stacks, and aligns these data sets to the standard larva.","abbreviation":"ViBE-Z","data_curation":{"type":"not found"},"year_creation":2013,"data_versioning":"not found","deprecation_date":"2021-9-24","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000799","bsg-d000799"],"name":"FAIRsharing record for: ViBE-Z: The Virtual Brain Explorer for Zebrafish","abbreviation":"ViBE-Z","url":"https://fairsharing.org/10.25504/FAIRsharing.xypv6g","doi":"10.25504/FAIRsharing.xypv6g","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: ViBE-Z, the Virtual Brain Explorer for Zebrafish is an imaging and image analysis framework for virtual colocalization studies in larval zebrafish brains, currently available for 72hpf, 48hpf and 96hpf old larvae. ViBE-Z contains a database with precisely aligned gene expression patterns (1um 3 resolution), an anatomical atlas, and a software. This software creates high-quality data sets by fusing multiple confocal microscopic image stacks, and aligns these data sets to the standard larva.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11241},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11386}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Anatomy"],"domains":["Bioimaging","Microscopy","Gene expression","Brain imaging"],"taxonomies":["Danio rerio"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1245,"pubmed_id":22706672,"title":"ViBE-Z: a framework for 3D virtual colocalization analysis in zebrafish larval brains.","year":2012,"url":"http://doi.org/10.1038/nmeth.2076","authors":"Ronneberger O,Liu K,Rath M,Ruebeta D,Mueller T,Skibbe H,Drayer B,Schmidt T,Filippi A,Nitschke R,Brox T,Burkhardt H,Driever W","journal":"Nat Methods","doi":"10.1038/nmeth.2076","created_at":"2021-09-30T08:24:38.865Z","updated_at":"2021-09-30T08:24:38.865Z"}],"licence_links":[],"grants":[{"id":2278,"fairsharing_record_id":2323,"organisation_id":1713,"relation":"maintains","created_at":"2021-09-30T09:25:38.334Z","updated_at":"2021-09-30T09:25:38.334Z","grant_id":null,"is_lead":false,"saved_state":{"id":1713,"name":"Life Imaging Center (LIC), University of Freiburg, Freiburg, Germany","types":["Undefined"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2324","type":"fairsharing_records","attributes":{"created_at":"2016-08-10T13:30:46.000Z","updated_at":"2023-06-22T16:28:23.712Z","metadata":{"doi":"10.25504/FAIRsharing.7ynng","name":"Collection of Anti Microbial Petides R3","status":"ready","contacts":[{"contact_name":"General Enquiries","contact_email":"biomedinfo@nirrh.res.in"}],"homepage":"http://www.camp3.bicnirrh.res.in/","citations":[],"identifier":2324,"description":"CAMPR3 (Collection of Anti-Microbial Peptides) has been generated to enhance research into AMP families. The collection is compatible with well-known databases such as PubMed and Uniprot with information like sequence, protein definition, accession numbers, structures as well as relevant organisms. Making this database a useful tool in AMP studies.","abbreviation":"CAMP R3","data_curation":{"url":"https://doi.org/10.1093/nar/gkv1051","type":"automated"},"support_links":[{"url":"http://www.camp3.bicnirrh.res.in/campHelp.php","name":"Help","type":"Help documentation"},{"url":"http://www.camp3.bicnirrh.res.in/dbStat.php","name":"Statistics","type":"Other"},{"url":"http://www.camp3.bicnirrh.res.in/aboutUs.php","name":"About","type":"Other"},{"url":"camp@bicnirrh.res.in","type":"Support email"}],"year_creation":2014,"data_versioning":"no","associated_tools":[{"url":"http://www.campsign.bicnirrh.res.in","name":"CampSign"}],"data_access_condition":{"url":"https://doi.org/10.1093/nar/gkv1051","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://doi.org/10.1093/nar/gkv1051","type":"not applicable"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000800","bsg-d000800"],"name":"FAIRsharing record for: Collection of Anti Microbial Petides R3","abbreviation":"CAMP R3","url":"https://fairsharing.org/10.25504/FAIRsharing.7ynng","doi":"10.25504/FAIRsharing.7ynng","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: CAMPR3 (Collection of Anti-Microbial Peptides) has been generated to enhance research into AMP families. The collection is compatible with well-known databases such as PubMed and Uniprot with information like sequence, protein definition, accession numbers, structures as well as relevant organisms. Making this database a useful tool in AMP studies.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Proteomics","Proteogenomics"],"domains":[],"taxonomies":["Bacteria","Escherichia coli","Microbiota"],"user_defined_tags":[],"countries":["India"],"publications":[{"id":358,"pubmed_id":19923233,"title":"CAMP: a useful resource for research on antimicrobial peptides.","year":2009,"url":"http://doi.org/10.1093/nar/gkp1021","authors":"Thomas S,Karnik S,Barai RS,Jayaraman VK,Idicula-Thomas S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkp1021","created_at":"2021-09-30T08:22:58.471Z","updated_at":"2021-09-30T11:28:45.800Z"},{"id":370,"pubmed_id":27089856,"title":"Leveraging family-specific signatures for AMP discovery and high-throughput annotation.","year":2016,"url":"http://doi.org/10.1038/srep24684","authors":"Waghu FH, Barai RS, Idicula-Thomas S.","journal":"Scientific Reports","doi":"10.1038/srep24684","created_at":"2021-09-30T08:22:59.758Z","updated_at":"2021-09-30T08:22:59.758Z"},{"id":744,"pubmed_id":26467475,"title":"CAMPR3: a database on sequences, structures and signatures of antimicrobial peptides.","year":2015,"url":"http://doi.org/10.1093/nar/gkv1051","authors":"Waghu FH,Barai RS,Gurung P,Idicula-Thomas S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkv1051","created_at":"2021-09-30T08:23:41.935Z","updated_at":"2021-09-30T11:28:49.417Z"},{"id":1664,"pubmed_id":24265220,"title":"CAMP: Collection of sequences and structures of antimicrobial peptides.","year":2013,"url":"http://doi.org/10.1093/nar/gkt1157","authors":"Waghu FH,Gopi L,Barai RS,Ramteke P,Nizami B,Idicula-Thomas S","journal":"Nucleic Acids Research","doi":"10.1093/nar/gkt1157","created_at":"2021-09-30T08:25:26.368Z","updated_at":"2021-09-30T11:29:18.303Z"}],"licence_links":[],"grants":[{"id":2280,"fairsharing_record_id":2324,"organisation_id":1331,"relation":"funds","created_at":"2021-09-30T09:25:38.382Z","updated_at":"2021-09-30T09:25:38.382Z","grant_id":null,"is_lead":false,"saved_state":{"id":1331,"name":"Indian Council of Medical Research, India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2279,"fairsharing_record_id":2324,"organisation_id":741,"relation":"funds","created_at":"2021-09-30T09:25:38.358Z","updated_at":"2021-09-30T09:25:38.358Z","grant_id":null,"is_lead":false,"saved_state":{"id":741,"name":"Department of Science and Technology, Government of India","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2281,"fairsharing_record_id":2324,"organisation_id":2006,"relation":"maintains","created_at":"2021-09-30T09:25:38.413Z","updated_at":"2021-09-30T09:25:38.413Z","grant_id":null,"is_lead":false,"saved_state":{"id":2006,"name":"National Institute for Research in Reproductive Health (NIRRH), Mumbai, India","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2325","type":"fairsharing_records","attributes":{"created_at":"2016-08-17T02:47:58.000Z","updated_at":"2023-07-06T10:01:16.447Z","metadata":{"doi":"10.25504/FAIRsharing.dq46p7","name":"Life Science Database Archive","status":"ready","contacts":[{"contact_name":"NBDC catalog team","contact_email":"catalog@integbio.jp","contact_orcid":null}],"homepage":"http://dbarchive.biosciencedbc.jp/index-e.html","citations":[],"identifier":2325,"description":"If a database is inadequate in terms of its description, unclear with respect to the terms of use, or is not downloadable, it may not be fully used, cited or rightly acknowledged by the (research) communities. This is even true for databases with high-quality datasets. The Life Science Database Archive maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata (description of datasets) in a unified format, and to access and download the datasets with clear terms of use (see here for detailed descriptions). In addition, the Archive provides datasets in forms friendly to different types of users in public and private institutions, and thereby supports further contribution of each research to life science.","abbreviation":"LSDB Archive","data_curation":{"type":"none"},"support_links":[{"url":"dbarchive@biosciencedbc.jp","type":"Support email"},{"url":"https://dbarchive.biosciencedbc.jp/contents-en/about/about.html","name":"About","type":"Help documentation"}],"year_creation":2009,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100012368","name":"re3data:r3d100012368","portal":"re3data"}],"data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://biosciencedbc.jp/en/service/","type":"open","notes":"Data must be deposited throught dedicated interfaces."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000801","bsg-d000801"],"name":"FAIRsharing record for: Life Science Database Archive","abbreviation":"LSDB Archive","url":"https://fairsharing.org/10.25504/FAIRsharing.dq46p7","doi":"10.25504/FAIRsharing.dq46p7","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: If a database is inadequate in terms of its description, unclear with respect to the terms of use, or is not downloadable, it may not be fully used, cited or rightly acknowledged by the (research) communities. This is even true for databases with high-quality datasets. The Life Science Database Archive maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata (description of datasets) in a unified format, and to access and download the datasets with clear terms of use (see here for detailed descriptions). In addition, the Archive provides datasets in forms friendly to different types of users in public and private institutions, and thereby supports further contribution of each research to life science.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12754}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Proteomics","Life Science","Transcriptomics"],"domains":["Gene expression","Transcription factor","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[],"grants":[{"id":2282,"fairsharing_record_id":2325,"organisation_id":1953,"relation":"maintains","created_at":"2021-09-30T09:25:38.474Z","updated_at":"2021-09-30T09:25:38.474Z","grant_id":null,"is_lead":false,"saved_state":{"id":1953,"name":"National Bioscience Database Center (NBDC), Tokyo, Japan","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2299","type":"fairsharing_records","attributes":{"created_at":"2016-05-19T08:21:24.000Z","updated_at":"2023-12-15T10:31:47.912Z","metadata":{"doi":"10.25504/FAIRsharing.tje0nv","name":"The ITHANET Portal","status":"ready","contacts":[{"contact_name":"Petros Kountouris","contact_email":"petrosk@cing.ac.cy","contact_orcid":"0000-0003-2681-4355"}],"homepage":"http://www.ithanet.eu","identifier":2299,"description":"The ITHANET Portal represents an expanding resource for clinicians and researchers dealing with haemoglobinopathies and a port of call for patients in search of professional advice. The ITHANET Portal integrates information on news, events, clinical trials and thalassaemia-related organisations, research projects and other scientific networks, wiki-based content of protocols, clinical guidelines and educational articles. Most importantly, disease-specific databases are developed and maintained on the ITHANET Portal, such as databases of haemoglobin variations (IthaGenes), epidemiology (IthaMaps) and HbF inducers (IthaDrugs).","abbreviation":"ITHANET","data_curation":{"url":"https://www.ithanet.eu/home/faqs","type":"manual/automated"},"support_links":[{"url":"http://www.ithanet.eu/about-us/contact-us","type":"Contact form"},{"url":"http://www.ithanet.eu/about-us/f-a-q","type":"Frequently Asked Questions (FAQs)"},{"url":"http://www.ithanet.eu/ithapedia/index.php/Main_Page","type":"Help documentation"},{"url":"https://twitter.com/ithanet_portal","type":"Twitter"}],"year_creation":2006,"data_versioning":"yes","data_access_condition":{"type":"open"},"data_contact_information":"yes","data_deposition_condition":{"url":"https://www.ithanet.eu/contact","type":"open","notes":"Reporting any correction or new content must be done using the online Contact Form."},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000773","bsg-d000773"],"name":"FAIRsharing record for: The ITHANET Portal","abbreviation":"ITHANET","url":"https://fairsharing.org/10.25504/FAIRsharing.tje0nv","doi":"10.25504/FAIRsharing.tje0nv","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The ITHANET Portal represents an expanding resource for clinicians and researchers dealing with haemoglobinopathies and a port of call for patients in search of professional advice. The ITHANET Portal integrates information on news, events, clinical trials and thalassaemia-related organisations, research projects and other scientific networks, wiki-based content of protocols, clinical guidelines and educational articles. Most importantly, disease-specific databases are developed and maintained on the ITHANET Portal, such as databases of haemoglobin variations (IthaGenes), epidemiology (IthaMaps) and HbF inducers (IthaDrugs).","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12751}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Molecular biology","Life Science","Biomedical Science","Epidemiology"],"domains":["DNA structural variation","Biomarker","Mutation","Genetic polymorphism","Disease phenotype","Disease","Allele","Genetic disorder","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Cyprus"],"publications":[{"id":1154,"pubmed_id":25058394,"title":"IthaGenes: an interactive database for haemoglobin variations and epidemiology.","year":2014,"url":"http://doi.org/10.1371/journal.pone.0103020","authors":"Kountouris P, Lederer CW, Fanis P, Feleki X, Old J, Kleanthous M","journal":"PLoS One","doi":"10.1371/journal.pone.0103020","created_at":"2021-09-30T08:24:28.341Z","updated_at":"2021-09-30T08:24:28.341Z"},{"id":1155,"pubmed_id":19657830,"title":"An electronic infrastructure for research and treatment of the thalassemias and other hemoglobinopathies: the Euro-mediterranean ITHANET project.","year":2009,"url":"http://doi.org/10.1080/03630260903089177","authors":"Lederer CW, Basak AN, Aydinok Y, Christou S, El-Beshlawy A, Eleftheriou A, Fattoum S, Felice AE, Fibach E, Galanello R, Gambari R, Gavrila L, Giordano PC, Grosveld F, Hassapopoulou H, Hladka E, Kanavakis E, Locatelli F, Old J, Patrinos GP, Romeo G, Taher A, Traeger-Synodinos J, Vassiliou P, Villegas A, Voskaridou E, Wajcman H, Zafeiropoulos A, Kleanthous M","journal":"Hemoglobin","doi":"10.1080/03630260903089177","created_at":"2021-09-30T08:24:28.449Z","updated_at":"2021-09-30T08:24:28.449Z"}],"licence_links":[],"grants":[{"id":9260,"fairsharing_record_id":2299,"organisation_id":920,"relation":"funds","created_at":"2022-04-11T12:07:26.029Z","updated_at":"2022-04-11T12:07:26.048Z","grant_id":1647,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","grant":"306201","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2301","type":"fairsharing_records","attributes":{"created_at":"2016-06-03T14:54:08.000Z","updated_at":"2022-05-19T17:58:56.631Z","metadata":{"doi":"10.25504/FAIRsharing.meh9wz","name":"Acytostelium Gene Database","status":"deprecated","contacts":[{"contact_name":"Acytostelium genome consortium","contact_email":"hidek@biol.tsukuba.ac.jp"}],"homepage":"http://cosmos.bot.kyoto-u.ac.jp/acytodb//cgi-bin/index.cgi?org=as","citations":[],"identifier":2301,"description":"Genome and transcriptome database of Acytostelium subglobosum","abbreviation":null,"data_curation":{"type":"not found"},"year_creation":2008,"data_versioning":"not found","deprecation_date":"2021-9-17","deprecation_reason":"This resource is no longer available at the stated homepage, and an updated homepage cannot be found. Please get in touch with us if you have updates for this record.","data_access_condition":{"type":"not found"},"data_contact_information":"not found","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000775","bsg-d000775"],"name":"FAIRsharing record for: Acytostelium Gene Database","abbreviation":null,"url":"https://fairsharing.org/10.25504/FAIRsharing.meh9wz","doi":"10.25504/FAIRsharing.meh9wz","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Genome and transcriptome database of Acytostelium subglobosum","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Genomics","Life Science","Transcriptomics"],"domains":["DNA sequence data","Gene model annotation"],"taxonomies":["Acytostelium subglobosum"],"user_defined_tags":[],"countries":["Japan","United Kingdom"],"publications":[{"id":1139,"pubmed_id":25758444,"title":"Comparative genome and transcriptome analyses of the social amoeba Acytostelium subglobosum that accomplishes multicellular development without germ-soma differentiation","year":2015,"url":"http://doi.org/10.1186/s12864-015-1278-x","authors":"Urushihara H, Kuwayama H, Fukuhara K, Itoh T, Kagoshima H, Shin-I T, Toyoda A, Ohishi K, Taniguchi T, Noguchi H, Kuroki Y, Hata T, Uchi K, Mohri K, King JS, Insall RH, Kohara Y, Fujiyama A","journal":"BMC Genomics","doi":"10.1186/s12864-015-1278-x","created_at":"2021-09-30T08:24:26.556Z","updated_at":"2021-09-30T08:24:26.556Z"}],"licence_links":[],"grants":[{"id":2241,"fairsharing_record_id":2301,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:25:36.988Z","updated_at":"2021-09-30T09:30:51.507Z","grant_id":905,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"20017004","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":8329,"fairsharing_record_id":2301,"organisation_id":1595,"relation":"funds","created_at":"2021-09-30T09:32:06.868Z","updated_at":"2021-09-30T09:32:06.916Z","grant_id":1475,"is_lead":false,"saved_state":{"id":1595,"name":"Japan Society for the Promotion of Science, Tokyo, Japan","grant":"17310112","types":["Consortium"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2302","type":"fairsharing_records","attributes":{"created_at":"2016-07-11T07:12:58.000Z","updated_at":"2023-12-15T10:30:17.958Z","metadata":{"doi":"10.25504/FAIRsharing.j4ebq1","name":"MitoCheck","status":"ready","contacts":[{"contact_name":"Jean-Karim Heriche","contact_email":"heriche@embl.de"}],"homepage":"http://www.mitocheck.org","citations":[],"identifier":2302,"description":"MitoCheck aims to integrate information on cellular function of human genes while giving access to supporting information such as microscopy images of phenotypes.","abbreviation":"MitoCheck","data_curation":{"type":"none"},"year_creation":2008,"data_versioning":"yes","associated_tools":[{"url":"https://www.mitocheck.org/cgi-bin/BACfinder","name":"Mouse BACFinder"},{"url":"https://git.embl.de/heriche/Mitocheck","name":"Perl Library"}],"data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"https://www.mitocheck.org/about.shtml","type":"not applicable"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000776","bsg-d000776"],"name":"FAIRsharing record for: MitoCheck","abbreviation":"MitoCheck","url":"https://fairsharing.org/10.25504/FAIRsharing.j4ebq1","doi":"10.25504/FAIRsharing.j4ebq1","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: MitoCheck aims to integrate information on cellular function of human genes while giving access to supporting information such as microscopy images of phenotypes.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11223},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11368}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Cell Biology"],"domains":["Function analysis","Bioimaging","Gene","High-content screen"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["Germany"],"publications":[{"id":1224,"pubmed_id":20360735,"title":"Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes.","year":2010,"url":"http://doi.org/10.1038/nature08869","authors":"Neumann B, et al.","journal":"Nature","doi":"10.1038/nature08869","created_at":"2021-09-30T08:24:36.442Z","updated_at":"2021-09-30T08:24:36.442Z"},{"id":1228,"pubmed_id":20360068,"title":"Systematic analysis of human protein complexes identifies chromosome segregation proteins.","year":2010,"url":"http://doi.org/10.1126/science.1181348","authors":"Hutchins JR, et al.","journal":"Science","doi":"10.1126/science.1181348","created_at":"2021-09-30T08:24:36.974Z","updated_at":"2021-09-30T08:24:36.974Z"},{"id":2528,"pubmed_id":30202089,"title":"Experimental and computational framework for a dynamic protein atlas of human cell division.","year":2018,"url":"http://doi.org/10.1038/s41586-018-0518-z","authors":"Cai Y,Hossain MJ,Heriche JK,Politi AZ,Walther N,Koch B,Wachsmuth M,Nijmeijer B,Kueblbeck M,Martinic-Kavur M,Ladurner R,Alexander S,Peters JM,Ellenberg J","journal":"Nature","doi":"10.1038/s41586-018-0518-z","created_at":"2021-09-30T08:27:10.129Z","updated_at":"2021-09-30T08:27:10.129Z"}],"licence_links":[],"grants":[{"id":2242,"fairsharing_record_id":2302,"organisation_id":941,"relation":"maintains","created_at":"2021-09-30T09:25:37.026Z","updated_at":"2021-09-30T09:25:37.026Z","grant_id":null,"is_lead":false,"saved_state":{"id":941,"name":"European Molecular Biology Laboratory (EMBL), Heidelberg, Germany","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2303","type":"fairsharing_records","attributes":{"created_at":"2016-07-11T08:08:07.000Z","updated_at":"2023-06-23T10:53:03.326Z","metadata":{"doi":"10.25504/FAIRsharing.6wf1zw","name":"Image Data Resource","status":"ready","contacts":[{"contact_name":"Josh Moore","contact_email":"j.a.moore@dundee.ac.uk","contact_orcid":"0000-0003-4028-811X"},{"contact_name":"Sébastien Besson","contact_email":"s.besson@dundee.ac.uk","contact_orcid":"0000-0001-8783-1429"},{"contact_name":"General Contact","contact_email":"idr@openmicroscopy.org","contact_orcid":null}],"homepage":"https://idr.openmicroscopy.org","citations":[{"doi":"10.1038/nmeth.4326","pubmed_id":28775673,"publication_id":2515}],"identifier":2303,"description":"The Image Data Resource (IDR) is a public repository of image datasets from published scientific studies, where the community can submit, search and access high-quality bio-image data. It follows the Euro-BioImaging/ELIXIR imaging strategy using the OMERO and Bio-Formats open source software built by the Open Microscopy Environment. Deployed on an OpenStack cloud running on the EMBL-EBI’s Embassy resource, it includes image data linked to independent studies from genetic, RNAi, chemical, localisation and geographic high content screens, super-resolution microscopy, and digital pathology.","abbreviation":"IDR","data_curation":{"url":"https://idr.openmicroscopy.org/about/index.html","type":"none"},"support_links":[{"url":"idr@openmicroscopy.org","name":"Helpdesk","type":"Support email"},{"url":"https://www.openmicroscopy.org/community/","name":"Community Forum","type":"Forum"},{"url":"https://help.openmicroscopy.org","name":"OMERO User Help","type":"Help documentation"},{"url":"http://www.openmicroscopy.org/site/community/mailing-lists","name":"Mailing Lists","type":"Mailing list"},{"url":"http://help.openmicroscopy.org/resources.html","name":"Training Course Material","type":"Training documentation"},{"url":"https://twitter.com/openmicroscopy","name":"@openmicroscopy","type":"Twitter"}],"year_creation":2015,"data_versioning":"no","associated_tools":[{"url":"http://www.openmicroscopy.org/info/omero","name":"OMERO client-server software"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100012435","name":"re3data:r3d100012435","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_017421","name":"SciCrunch:RRID:SCR_017421","portal":"SciCrunch"}],"data_access_condition":{"url":"https://idr.openmicroscopy.org/about/faq/","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{"url":"https://idr.openmicroscopy.org/about/faq/","name":"Follows EMBL-EBI’s open data mission in the domain of biological images"},"data_deposition_condition":{"url":"https://idr.openmicroscopy.org/about/submission.html","type":"open"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000778","bsg-d000778"],"name":"FAIRsharing record for: Image Data Resource","abbreviation":"IDR","url":"https://fairsharing.org/10.25504/FAIRsharing.6wf1zw","doi":"10.25504/FAIRsharing.6wf1zw","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Image Data Resource (IDR) is a public repository of image datasets from published scientific studies, where the community can submit, search and access high-quality bio-image data. It follows the Euro-BioImaging/ELIXIR imaging strategy using the OMERO and Bio-Formats open source software built by the Open Microscopy Environment. Deployed on an OpenStack cloud running on the EMBL-EBI’s Embassy resource, it includes image data linked to independent studies from genetic, RNAi, chemical, localisation and geographic high content screens, super-resolution microscopy, and digital pathology.","linked_records":[],"linking_records":[{"linking_record_name":"Open Microscopy Environment","linking_record_id":3502,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11016},{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11224},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11369},{"linking_record_name":"BY-COVID Data Resources","linking_record_id":3773,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":13980},{"linking_record_name":"ISO 20691 - Requirements for data formatting and description in the life sciences","linking_record_id":3533,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":14563}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Botany","Life Science","Biomedical Science"],"domains":["Bioimaging","Super-resolution microscopy","Light-sheet illumination","High-content screen"],"taxonomies":["Apis mellifera","Arabidopsis thaliana","Danio rerio","Drosophila","Drosophila melanogaster","Escherichia coli","Gallus gallus","Homo sapiens","Mus musculus","plankton","Plasmodium falciparum","Saccharomyces cerevisiae","SARS-CoV-2","Schizosaccharomyces pombe","Tribolium castaneum"],"user_defined_tags":["Digital pathology"],"countries":["United Kingdom"],"publications":[{"id":2515,"pubmed_id":28775673,"title":"The Image Data Resource: A Bioimage Data Integration and Publication Platform.","year":2017,"url":"http://doi.org/10.1038/nmeth.4326","authors":"Williams E,Moore J,Li SW,Rustici G,Tarkowska A,Chessel A,Leo S,Antal B,Ferguson RK,Sarkans U,Brazma A,Salas REC,Swedlow JR","journal":"Nat Methods","doi":"10.1038/nmeth.4326","created_at":"2021-09-30T08:27:08.592Z","updated_at":"2021-09-30T08:27:08.592Z"}],"licence_links":[{"licence_name":"Creative Commons Attribution 4.0 International (CC BY 4.0)","licence_id":167,"licence_url":"https://creativecommons.org/licenses/by/4.0/","link_id":3256,"relation":"applies_to_content"},{"licence_name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","licence_id":172,"licence_url":"https://creativecommons.org/licenses/by-nc/4.0/","link_id":3258,"relation":"applies_to_content"},{"licence_name":"Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication","licence_id":196,"licence_url":"https://creativecommons.org/publicdomain/zero/1.0/","link_id":3257,"relation":"applies_to_content"}],"grants":[{"id":8155,"fairsharing_record_id":2303,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:31:14.580Z","updated_at":"2021-09-30T09:31:14.632Z","grant_id":1083,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","grant":"688945","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2244,"fairsharing_record_id":2303,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:25:37.121Z","updated_at":"2021-09-30T09:31:13.890Z","grant_id":1076,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/M018423/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":8659,"fairsharing_record_id":2303,"organisation_id":873,"relation":"funds","created_at":"2021-12-20T16:29:42.311Z","updated_at":"2021-12-20T16:29:42.311Z","grant_id":null,"is_lead":false,"saved_state":{"id":873,"name":"EOSC-Life","types":["Consortium"],"is_lead":false,"relation":"funds"}},{"id":2246,"fairsharing_record_id":2303,"organisation_id":912,"relation":"funds","created_at":"2021-09-30T09:25:37.192Z","updated_at":"2021-09-30T09:30:59.327Z","grant_id":966,"is_lead":false,"saved_state":{"id":912,"name":"European Commission Horizon 2020","grant":"654248","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":10676,"fairsharing_record_id":2303,"organisation_id":2261,"relation":"maintains","created_at":"2023-06-16T08:17:21.567Z","updated_at":"2023-06-16T08:17:21.567Z","grant_id":null,"is_lead":true,"saved_state":{"id":2261,"name":"Open Microscopy Environment","types":["Lab"],"is_lead":true,"relation":"maintains"}},{"id":10677,"fairsharing_record_id":2303,"organisation_id":3049,"relation":"maintains","created_at":"2023-06-16T08:17:21.567Z","updated_at":"2023-06-16T08:17:21.567Z","grant_id":null,"is_lead":true,"saved_state":{"id":3049,"name":"University of Dundee, Scotland, UK","types":["University"],"is_lead":true,"relation":"maintains"}},{"id":8904,"fairsharing_record_id":2303,"organisation_id":2854,"relation":"funds","created_at":"2022-03-03T13:25:24.569Z","updated_at":"2022-03-03T13:25:24.569Z","grant_id":1830,"is_lead":false,"saved_state":{"id":2854,"name":"The Wellcome Trust","grant":"212962/Z/18/Z","types":["Charitable foundation"],"is_lead":false,"relation":"funds"}},{"id":2243,"fairsharing_record_id":2303,"organisation_id":351,"relation":"maintains","created_at":"2021-09-30T09:25:37.080Z","updated_at":"2021-09-30T09:25:37.080Z","grant_id":null,"is_lead":false,"saved_state":{"id":351,"name":"Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":8385,"fairsharing_record_id":2303,"organisation_id":278,"relation":"funds","created_at":"2021-09-30T09:32:23.817Z","updated_at":"2021-09-30T09:32:23.872Z","grant_id":1601,"is_lead":false,"saved_state":{"id":278,"name":"Biotechnology and Biological Sciences Research Council","grant":"BB/R015384/1","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":9247,"fairsharing_record_id":2303,"organisation_id":920,"relation":"maintains","created_at":"2022-04-11T12:07:25.110Z","updated_at":"2022-04-11T12:07:25.110Z","grant_id":null,"is_lead":false,"saved_state":{"id":920,"name":"European Commission FP7","types":["Government body"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBWUT09IiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--a98b06ba365ea079c2d473e13b2e540597d9f29b/idr-logo.png?disposition=inline","exhaustive_licences":true}},{"id":"2304","type":"fairsharing_records","attributes":{"created_at":"2016-07-19T09:50:21.000Z","updated_at":"2023-12-15T10:28:35.542Z","metadata":{"doi":"10.25504/FAIRsharing.tf3mhc","name":"Virtual Parts Repository","status":"ready","contacts":[{"contact_email":"anil.wipat@ncl.ac.uk","contact_orcid":"0000-0002-2454-7188"}],"homepage":"http://www.virtualparts.org","citations":[{"publication_id":1253}],"identifier":2304,"description":"The Virtual Parts Repository (VPR) is a repository of reusable, modular and composable models of biological parts.","abbreviation":"VPR","data_curation":{"url":"http://www.virtualparts.org/","type":"manual","notes":"The database is still under construction and being manually curated."},"support_links":[{"url":"https://dissys.github.io/vprwiki","name":"Documentation","type":"Github"},{"url":"https://github.com/dissys/vprwiki","name":"GitHub Project","type":"Github"}],"year_creation":2010,"data_versioning":"no","data_access_condition":{"url":"http://www.virtualparts.org/about.jsp","type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"type":"controlled"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000780","bsg-d000780"],"name":"FAIRsharing record for: Virtual Parts Repository","abbreviation":"VPR","url":"https://fairsharing.org/10.25504/FAIRsharing.tf3mhc","doi":"10.25504/FAIRsharing.tf3mhc","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Virtual Parts Repository (VPR) is a repository of reusable, modular and composable models of biological parts.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Synthetic Biology","Systems Biology"],"domains":["Modeling and simulation"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United Kingdom"],"publications":[{"id":1253,"pubmed_id":null,"title":"Composable Modular Models for Synthetic Biology","year":2014,"url":"https://doi.org/10.1145/2631921","authors":"Goksel Misirli, Jennifer Hallinan, Anil Wipat","journal":"ACM Journal on Emerging Technologies in Computing Systems","doi":null,"created_at":"2021-09-30T08:24:39.758Z","updated_at":"2021-09-30T08:24:39.758Z"}],"licence_links":[],"grants":[{"id":2247,"fairsharing_record_id":2304,"organisation_id":2145,"relation":"maintains","created_at":"2021-09-30T09:25:37.215Z","updated_at":"2021-09-30T09:25:37.215Z","grant_id":null,"is_lead":false,"saved_state":{"id":2145,"name":"Newcastle University, Newcastle upon Tyne, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2248,"fairsharing_record_id":2304,"organisation_id":1630,"relation":"maintains","created_at":"2021-09-30T09:25:37.241Z","updated_at":"2021-09-30T09:25:37.241Z","grant_id":null,"is_lead":false,"saved_state":{"id":1630,"name":"Keele University, Staffordshire, UK","types":["University"],"is_lead":false,"relation":"maintains"}},{"id":2249,"fairsharing_record_id":2304,"organisation_id":862,"relation":"funds","created_at":"2021-09-30T09:25:37.264Z","updated_at":"2021-09-30T09:25:37.264Z","grant_id":null,"is_lead":false,"saved_state":{"id":862,"name":"Engineering and Physical Sciences Research Council (EPSRC), UK","types":["Government body"],"is_lead":false,"relation":"funds"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2305","type":"fairsharing_records","attributes":{"created_at":"2016-06-14T09:37:07.000Z","updated_at":"2023-12-15T10:30:18.399Z","metadata":{"doi":"10.25504/FAIRsharing.e5y0j0","name":"Clinical Knowledgebase","status":"ready","contacts":[{"contact_name":"Susan Mockus","contact_email":"ckbsupport@jax.org","contact_orcid":"0000-0002-1939-5132"}],"homepage":"https://jax.org/ckb","identifier":2305,"description":"The Jackson Laboratory Clinical Knowledgebase (CKB) is a semi-automated/manually curated database of gene/variant annotations, therapy knowledge, diagnostic/prognostic information, and clinical trials related to oncology. CKB not only contains current information on the protein effect of somatic gene variants, but also connects the variant to targeted therapies through an efficacy evidence annotation. In addition, CKB captures clinical trial patient eligibility criteria that include genomic alterations (genotype-specific). The public access version of CKB encompasses 82 commonly known driver genes. Users can search CKB via gene, gene variants, drug, drug class, indication, and clinical trials. The web-based version of CKB is designed to interrogate the knowledgebase for specific data attributes while also enabling a robust browse like feature when the desired content is unknown.","abbreviation":"JAX-CKB","data_curation":{"url":"https://ckbhome.jax.org/about/curationMethodology","type":"manual/automated"},"support_links":[{"url":"ckbsupport@jax.org","name":"ckbsupport@jax.org","type":"Support email"}],"year_creation":2014,"data_versioning":"no","data_access_condition":{"url":"https://ckbhome.jax.org/","type":"partially open"},"data_contact_information":"not found","data_deposition_condition":{"url":"file:///C:/Users/PATOU/Downloads/the_scoop_on_CKB.pdf","type":"open"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000781","bsg-d000781"],"name":"FAIRsharing record for: Clinical Knowledgebase","abbreviation":"JAX-CKB","url":"https://fairsharing.org/10.25504/FAIRsharing.e5y0j0","doi":"10.25504/FAIRsharing.e5y0j0","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Jackson Laboratory Clinical Knowledgebase (CKB) is a semi-automated/manually curated database of gene/variant annotations, therapy knowledge, diagnostic/prognostic information, and clinical trials related to oncology. CKB not only contains current information on the protein effect of somatic gene variants, but also connects the variant to targeted therapies through an efficacy evidence annotation. In addition, CKB captures clinical trial patient eligibility criteria that include genomic alterations (genotype-specific). The public access version of CKB encompasses 82 commonly known driver genes. Users can search CKB via gene, gene variants, drug, drug class, indication, and clinical trials. The web-based version of CKB is designed to interrogate the knowledgebase for specific data attributes while also enabling a robust browse like feature when the desired content is unknown.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12753}],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Biomedical Science","Preclinical Studies"],"domains":["Drug report","DNA structural variation","Drug","Cancer","Next generation DNA sequencing","Somatic mutation","Genotype"],"taxonomies":["Homo sapiens"],"user_defined_tags":[],"countries":["United States"],"publications":[{"id":1180,"pubmed_id":26772741,"title":"The clinical trial landscape in oncology and connectivity of somatic mutational profiles to targeted therapies.","year":2016,"url":"http://doi.org/10.1186/s40246-016-0061-7","authors":"Patterson SE1, Liu R2, Statz CM3, Durkin D4, Lakshminarayana A5, Mockus SM6.","journal":"Hum Genomics","doi":"10.1186/s40246-016-0061-7","created_at":"2021-09-30T08:24:31.183Z","updated_at":"2021-09-30T08:24:31.183Z"}],"licence_links":[],"grants":[{"id":9202,"fairsharing_record_id":2305,"organisation_id":2792,"relation":"maintains","created_at":"2022-04-11T12:07:21.691Z","updated_at":"2022-04-11T12:07:21.691Z","grant_id":null,"is_lead":false,"saved_state":{"id":2792,"name":"The Jackson Laboratory, Bar Harbor, ME 04609, USA","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2306","type":"fairsharing_records","attributes":{"created_at":"2016-08-02T09:43:26.000Z","updated_at":"2022-07-20T09:37:07.481Z","metadata":{"doi":"10.25504/FAIRsharing.g63c77","name":"Curie Image Database","status":"deprecated","contacts":[{"contact_name":"Perrine Paul-Gilloteaux","contact_email":"perrine.paul-gilloteaux@france-bioimaging.org"}],"homepage":"https://cid.curie.fr","citations":[],"identifier":2306,"description":"In addition to data used in on-going collaborations, this database host images from France Bio Imaging microscopy facility with public access either associated to publications, either that make interest from an image processing point of view (such as challenges for developpers or for use in metrology). This resource requires a log in account, however some projects are available with a guest account.","abbreviation":"CID","data_curation":{},"year_creation":2011,"data_versioning":"not found","deprecation_date":"2022-07-13","deprecation_reason":"This resource no longer has a valid homepage, and a new one cannot be found. Please get in touch if you have any information.","data_access_condition":{},"resource_sustainability":{},"data_contact_information":"not found","data_preservation_policy":{},"data_deposition_condition":{},"citation_to_related_publications":"not found","data_access_for_pre_publication_review":"not found"},"legacy_ids":["biodbcore-000782","bsg-d000782"],"name":"FAIRsharing record for: Curie Image Database","abbreviation":"CID","url":"https://fairsharing.org/10.25504/FAIRsharing.g63c77","doi":"10.25504/FAIRsharing.g63c77","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: In addition to data used in on-going collaborations, this database host images from France Bio Imaging microscopy facility with public access either associated to publications, either that make interest from an image processing point of view (such as challenges for developpers or for use in metrology). This resource requires a log in account, however some projects are available with a guest account.","linked_records":[],"linking_records":[{"linking_record_name":"Euro-BioImaging ERIC","linking_record_id":3508,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11225},{"linking_record_name":"EOSC-Life","linking_record_id":3513,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":11370}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Life Science"],"domains":["Bioimaging","High-content screen"],"taxonomies":["Aedes aegypti","Drosophila","Homo sapiens","Mus musculus","Saccharomyces"],"user_defined_tags":[],"countries":["France"],"publications":[],"licence_links":[{"licence_name":"CID Require account","licence_id":124,"licence_url":"https://cid.curie.fr/iManage/standard/login.html","link_id":2316,"relation":"undefined"}],"grants":[{"id":2253,"fairsharing_record_id":2306,"organisation_id":367,"relation":"funds","created_at":"2021-09-30T09:25:37.450Z","updated_at":"2021-09-30T09:25:37.450Z","grant_id":null,"is_lead":false,"saved_state":{"id":367,"name":"Canceropole Ile-De-France, Paris, France","types":["Government body"],"is_lead":false,"relation":"funds"}},{"id":2251,"fairsharing_record_id":2306,"organisation_id":1363,"relation":"maintains","created_at":"2021-09-30T09:25:37.385Z","updated_at":"2021-09-30T09:25:37.385Z","grant_id":null,"is_lead":false,"saved_state":{"id":1363,"name":"Institut Curie, Paris, France","types":["Research institute"],"is_lead":false,"relation":"maintains"}},{"id":2252,"fairsharing_record_id":2306,"organisation_id":2650,"relation":"maintains","created_at":"2021-09-30T09:25:37.417Z","updated_at":"2021-09-30T09:25:37.417Z","grant_id":null,"is_lead":false,"saved_state":{"id":2650,"name":"Strand Avadis, Bangalore, India","types":["Undefined"],"is_lead":false,"relation":"maintains"}},{"id":2254,"fairsharing_record_id":2306,"organisation_id":234,"relation":"maintains","created_at":"2021-09-30T09:25:37.473Z","updated_at":"2021-09-30T09:25:37.473Z","grant_id":null,"is_lead":false,"saved_state":{"id":234,"name":"BioImage Informatics, IPDM, France Bio-Imaging, France","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2326","type":"fairsharing_records","attributes":{"created_at":"2016-09-14T11:37:16.000Z","updated_at":"2023-12-15T10:32:56.913Z","metadata":{"doi":"10.25504/FAIRsharing.rkwr6y","name":"Oxford University Research Archive","status":"ready","contacts":[{"contact_email":"ora@bodleian.ox.ac.uk"},{"contact_name":"Jason Partridge","contact_email":"jason.partridge@bodleian.ox.ac.uk","contact_orcid":"0000-0001-9819-9991"}],"homepage":"https://ora.ox.ac.uk/","citations":[],"identifier":2326,"description":"The Oxford University Research Archive (ORA) is the institutional repository for the University of Oxford. ORA was established in 2007 as a permanent and secure online archive of research materials produced by members of the University and is managed by the Bodleian Libraries. ORA aims to provide access to the full text of as much of Oxford's academic research as possible, including articles, conference papers, theses, research data, working papers and posters. Digital object identifiers (DOIs) can be assigned to items in the repository for citation and attribution.\n\nMaking materials open access removes barriers that restrict access to research, allowing for free dissemination of full text content, available to anyone with Internet access. ORA promotes and encourages the sharing of the scholarly output produced by the members of the University that have been published under open access conditions, whilst additionally supporting University compliance with research funder policies and assessment. It is a core service of the library and is prioritised due to its central importance to the REF and funder compliance.\n","abbreviation":"ORA","data_curation":{"url":"https://ora.ox.ac.uk/content_policy","type":"manual/automated","notes":"The repository, and its content, is managed and maintained by staff within the Bodleian Libraries although various stakeholders around the University are involved with decision making regarding its function."},"support_links":[{"url":"https://ora.ox.ac.uk/about","name":"About","type":"Help documentation"},{"url":"https://ora.ox.ac.uk/stats","name":"Statistics","type":"Help documentation"},{"url":"https://twitter.com/oxforduni_repo","name":"@oxforduni_repo","type":"Twitter"},{"url":"https://ora.ox.ac.uk/api","name":"API (Application Programming Interface)","type":"Help documentation"},{"url":"https://ora.ox.ac.uk/contact","name":"Contact us","type":"Contact form"},{"url":"https://libguides.bodleian.ox.ac.uk/ora","name":"ORA Libguide","type":"Help documentation"}],"year_creation":2007,"data_versioning":"yes","cross_references":[{"url":"https://www.re3data.org/repository/r3d100011230","name":"re3data:r3d100011230","portal":"re3data"},{"url":"https://v2.sherpa.ac.uk/id/repository/1064","name":"OpenDOAR","portal":"Other"},{"url":"https://core.ac.uk/data-providers/88","name":"CORE","portal":"Other"}],"data_access_condition":{"url":"https://ora.ox.ac.uk/terms_of_use","type":"open","notes":"All information is freely available"},"resource_sustainability":{},"data_contact_information":"yes","data_preservation_policy":{"url":"https://www.bodleian.ox.ac.uk/about/libraries/policies","name":"Digital preservation policy"},"data_deposition_condition":{"url":"https://ora.ox.ac.uk/deposit_agreements","type":"controlled","notes":"Only members of the University of Oxford can upload data, publications or theses."},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"yes"},"legacy_ids":["biodbcore-000802","bsg-d000802"],"name":"FAIRsharing record for: Oxford University Research Archive","abbreviation":"ORA","url":"https://fairsharing.org/10.25504/FAIRsharing.rkwr6y","doi":"10.25504/FAIRsharing.rkwr6y","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The Oxford University Research Archive (ORA) is the institutional repository for the University of Oxford. ORA was established in 2007 as a permanent and secure online archive of research materials produced by members of the University and is managed by the Bodleian Libraries. ORA aims to provide access to the full text of as much of Oxford's academic research as possible, including articles, conference papers, theses, research data, working papers and posters. Digital object identifiers (DOIs) can be assigned to items in the repository for citation and attribution.\n\nMaking materials open access removes barriers that restrict access to research, allowing for free dissemination of full text content, available to anyone with Internet access. ORA promotes and encourages the sharing of the scholarly output produced by the members of the University that have been published under open access conditions, whilst additionally supporting University compliance with research funder policies and assessment. It is a core service of the library and is prioritised due to its central importance to the REF and funder compliance.\n","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"repository","subjects":["Subject Agnostic"],"domains":["Digital curation","FAIR"],"taxonomies":["All"],"user_defined_tags":["institutional repository","Open Access","digital preservation"],"countries":["United Kingdom"],"publications":[],"licence_links":[{"licence_name":"ORA Policy documents","licence_id":1087,"licence_url":"https://ora.ox.ac.uk/policies","link_id":3415,"relation":"applies_to_content"}],"grants":[{"id":2283,"fairsharing_record_id":2326,"organisation_id":291,"relation":"maintains","created_at":"2021-09-30T09:25:38.522Z","updated_at":"2023-11-28T13:25:03.973Z","grant_id":null,"is_lead":true,"saved_state":{"id":291,"name":"Bodleian Library, University of Oxford, Oxford, UK","types":["University"],"is_lead":true,"relation":"maintains"}}],"url_for_logo":"/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBanNEIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--016cf7e897dfc5da10538a2adfa56c4fe19012e0/ora-logo_new_padded.jpg?disposition=inline","exhaustive_licences":false}},{"id":"2327","type":"fairsharing_records","attributes":{"created_at":"2016-08-29T07:45:51.000Z","updated_at":"2023-12-15T10:28:27.022Z","metadata":{"doi":"10.25504/FAIRsharing.txcn6k","name":"RDF Portal","status":"ready","contacts":[{"contact_name":"Hideki Hatanaka","contact_email":"hideki@biosciencedbc.jp","contact_orcid":"0000-0002-0587-2460"},{"contact_name":"NBDC catalog team","contact_email":"catalog@integbio.jp","contact_orcid":null}],"homepage":"https://rdfportal.org","citations":[],"identifier":2327,"description":"The RDF Portal provides a collection of life science datasets in RDF (Resource Description Framework). The portal aims to accelerate integrative utilization of the heterogeneous datasets deposited by various research institutions and groups. In this portal, each dataset comes with a summary, downloadable files and a SPARQL endpoint.","abbreviation":"RDF Portal","data_curation":{"url":"https://rdfportal.org/documents","type":"manual","notes":"RDF data submitted to the RDF portal undergoes a review process by the RDF portal team. T"},"support_links":[{"url":"https://rdfportal.org/documents","name":"Documents","type":"Help documentation"},{"url":"https://dbcls.rois.ac.jp/contact-en.html","name":"Contact","type":"Contact form"}],"year_creation":2015,"data_versioning":"no","data_access_condition":{"type":"open"},"resource_sustainability":{},"data_contact_information":"no","data_preservation_policy":{},"data_deposition_condition":{"url":"http://integbio.jp/rdf/documents/Submitting_a_RDF_dataset","type":"controlled","notes":"Submissions from research groups in Japan only"},"citation_to_related_publications":"no","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000803","bsg-d000803"],"name":"FAIRsharing record for: RDF Portal","abbreviation":"RDF Portal","url":"https://fairsharing.org/10.25504/FAIRsharing.txcn6k","doi":"10.25504/FAIRsharing.txcn6k","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: The RDF Portal provides a collection of life science datasets in RDF (Resource Description Framework). The portal aims to accelerate integrative utilization of the heterogeneous datasets deposited by various research institutions and groups. In this portal, each dataset comes with a summary, downloadable files and a SPARQL endpoint.","linked_records":[],"linking_records":[],"fairsharing_registry":"Database","record_type":"knowledgebase","subjects":["Genomics","Health Science","Proteomics","Phylogeny","Life Science","Cell Biology"],"domains":["Bibliography","Gene expression","Drug interaction","Pathway model","Sequence","Genome"],"taxonomies":["All"],"user_defined_tags":[],"countries":["Japan"],"publications":[],"licence_links":[{"licence_name":"NBDC Site Policies","licence_id":998,"licence_url":"https://biosciencedbc.jp/en/sitepolicies/","link_id":2940,"relation":"applies_to_content"}],"grants":[{"id":2284,"fairsharing_record_id":2327,"organisation_id":645,"relation":"maintains","created_at":"2021-09-30T09:25:38.561Z","updated_at":"2023-07-05T07:10:51.669Z","grant_id":null,"is_lead":false,"saved_state":{"id":645,"name":"Database Center for Life Science","types":["Research institute"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}},{"id":"2328","type":"fairsharing_records","attributes":{"created_at":"2016-09-02T11:14:34.000Z","updated_at":"2023-12-15T10:32:16.455Z","metadata":{"doi":"10.25504/FAIRsharing.81ettx","name":"Bioconductor","status":"ready","contacts":[{"contact_name":"Sean Davis","contact_email":"seandavi@gmail.com","contact_orcid":"0000-0002-8991-6458"}],"homepage":"https://bioconductor.org","identifier":2328,"description":"Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development.","abbreviation":"Bioc","data_curation":{"type":"none"},"support_links":[{"url":"https://bioconductor.org/help/events/","type":"Blog/News"},{"url":"https://bioconductor.org/help/faq/","type":"Frequently Asked Questions (FAQs)"},{"url":"https://support.bioconductor.org/","type":"Forum"},{"url":"https://bioconductor.org/help/course-materials/","name":"Courses and Conferences","type":"Help documentation"},{"url":"https://bioconductor.org/help/community/","name":"Community ressource","type":"Help documentation"},{"url":"https://twitter.com/Bioconductor","type":"Twitter"}],"year_creation":2000,"data_versioning":"yes","associated_tools":[{"url":"https://bioconductor.org/news/bioc_3_10_release/","name":"Bioconductor 3.10"}],"cross_references":[{"url":"https://www.re3data.org/repository/r3d100013238","name":"re3data:r3d100013238","portal":"re3data"},{"url":"https://scicrunch.org/resolver/RRID:SCR_006442","name":"SciCrunch:RRID:SCR_006442","portal":"SciCrunch"}],"data_access_condition":{"type":"open"},"data_contact_information":"no","data_deposition_condition":{"type":"not found"},"citation_to_related_publications":"yes","data_access_for_pre_publication_review":"no"},"legacy_ids":["biodbcore-000804","bsg-d000804"],"name":"FAIRsharing record for: Bioconductor","abbreviation":"Bioc","url":"https://fairsharing.org/10.25504/FAIRsharing.81ettx","doi":"10.25504/FAIRsharing.81ettx","fairsharing_licence":"https://creativecommons.org/licenses/by-sa/4.0/. Please link to https://fairsharing.org and https://api.fairsharing.org/img/fairsharing-attribution.svg for attribution.","description":"This FAIRsharing record describes: Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development.","linked_records":[],"linking_records":[{"linking_record_name":"RDA Covid-19 WG Resources","linking_record_id":3540,"linking_record_registry":"Collection","linking_record_type":"collection","relation":"collects","link_id":12755}],"fairsharing_registry":"Database","record_type":"repository","subjects":["Functional Genomics","Genomics","Life Science"],"domains":["DNA sequence data","Next generation DNA sequencing","Software"],"taxonomies":["All"],"user_defined_tags":[],"countries":["United States"],"publications":[],"licence_links":[],"grants":[{"id":2285,"fairsharing_record_id":2328,"organisation_id":225,"relation":"maintains","created_at":"2021-09-30T09:25:38.593Z","updated_at":"2021-09-30T09:25:38.593Z","grant_id":null,"is_lead":false,"saved_state":{"id":225,"name":"Bioconductor","types":["Consortium"],"is_lead":false,"relation":"maintains"}}],"url_for_logo":null,"exhaustive_licences":false}}],"links":{"self":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=1\u0026page%5Bsize%5D=2500","first":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=1\u0026page%5Bsize%5D=2500","prev":null,"next":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=2\u0026page%5Bsize%5D=2500","last":"https://api.fairsharing.org/search/fairsharing_records?page%5Bnumber%5D=2\u0026page%5Bsize%5D=2500"}} From 326b25bd55488d40463f4344776e8a19055ea149 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 14:04:56 +0200 Subject: [PATCH 40/48] Fix: 'True' and 'False' values are required in config.ini so to be successfully parsed with ast.literal_value --- api/vocabulary.py | 5 ++++- config.ini.template | 6 +++--- plugins/epos/config.ini | 2 +- plugins/gbif/config.ini | 2 +- 4 files changed, 9 insertions(+), 6 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index 973cc1ed..cb1e4443 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -1,3 +1,4 @@ +import ast import json import logging import os @@ -16,7 +17,9 @@ class VocabularyConnection: def __init__(self, **config_items): self.vocabulary_name = config_items.get("vocabulary_name", "") - self.enable_remote_check = config_items.get("enable_remote_check", False) + self.enable_remote_check = ast.literal_eval( + config_items.get("enable_remote_check", "True") + ) self.remote_path = config_items.get("remote_path", "") self.remote_username = config_items.get("remote_username", "") self.remote_password = config_items.get("remote_password", "") diff --git a/config.ini.template b/config.ini.template index 67bc9b3c..e2189efa 100644 --- a/config.ini.template +++ b/config.ini.template @@ -5,7 +5,7 @@ doi_url = https://doi.org/ api_config = fair-api.yaml [local] -only_local = false +only_local = False repo = digital_csic logo_url = 'https://ifca.unican.es' title = FAIR EVA: Evaluator, Validator & Advisor @@ -20,13 +20,13 @@ example_plugin = Example_Plugin signposting = Signposting [vocabularies:iana_media_types] -enable_remote_check = false +enable_remote_check = True property_key_xml = {http://www.iana.org/assignments}file remote_path = https://www.iana.org/assignments/media-types/media-types.xml local_path = static/controlled_vocabularies/IANA-media-types.xml [vocabularies:fairsharing] -enable_remote_check = true +enable_remote_check = True remote_username = remote_password = remote_path = https://api.fairsharing.org/search/fairsharing_records diff --git a/plugins/epos/config.ini b/plugins/epos/config.ini index feb1571c..13e97e2d 100644 --- a/plugins/epos/config.ini +++ b/plugins/epos/config.ini @@ -4,7 +4,7 @@ doi_url = https://doi.org/ api_config = fair-api.yaml endpoint=https://ics-c.epos-ip.org/development/k8s-epos-deploy/dt-geo/api/v1 [local] -only_local = false +only_local = False repo = digital_csic logo_url = 'https://ifca.unican.es' title = FAIR EVA: Evaluator, Validator & Advisor diff --git a/plugins/gbif/config.ini b/plugins/gbif/config.ini index 2cc9b65e..055a1a79 100644 --- a/plugins/gbif/config.ini +++ b/plugins/gbif/config.ini @@ -3,7 +3,7 @@ doi_url = https://doi.org/ api_config = /FAIR_eva/fair-api.yaml endpoint= https://api.gbif.org/v1 [local] -only_local = false +only_local = False repo = digital_csic [Repositories] From 49314f32abb2083a5fdfc74a77f06b19aefb131f Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 14:06:32 +0200 Subject: [PATCH 41/48] Get _config_items in FAIRsharingRegistry.collect() --- api/vocabulary.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index cb1e4443..bcc40e98 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -96,7 +96,6 @@ def collect(cls): class FAIRsharingRegistry(VocabularyConnection): name = "FAIRsharing registry" - _config = load_config() # FIXME: get only the properties from 'FAIRsharing' section def _login(self): url_api_login = "https://api.fairsharing.org/users/sign_in" @@ -158,8 +157,9 @@ def _remote_collect(self): @classmethod def collect(cls, search_topic): - config_items = dict(cls._config.items("vocabularies:fairsharing")) - remote_path = config_items.get("remote_path", "") + _config_items = dict(load_config().items("vocabularies:fairsharing")) + # Set specific query parameters for remote requests + remote_path = _config_items.get("remote_path", "") if not remote_path: logger.warning( "Could not get FAIRsharing API endpoint from configuration (check 'remote_path' property)" @@ -169,12 +169,12 @@ def collect(cls, search_topic): remote_path_with_query = "?page[size]=2500&".join( [remote_path, query_parameter] ) - config_items["remote_path"] = remote_path_with_query + _config_items["remote_path"] = remote_path_with_query logger.debug( "Request URL to FAIRsharing API with search topic '%s': %s" - % (search_topic, config_items["remote_path"]) + % (search_topic, _config_items["remote_path"]) ) - super().__init__(cls, **config_items) + super().__init__(cls, **_config_items) content = super().collect(cls) return content From aec1950e8e7270d00a95a71fce07611282048a66 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 14:09:17 +0200 Subject: [PATCH 42/48] Get _config_items in IANAMediaTypes.collect() --- api/vocabulary.py | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index bcc40e98..a5757589 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -62,9 +62,6 @@ def collect(cls, search_item=None, perform_login=False): class IANAMediaTypes(VocabularyConnection): name = "IANA Media Types" - _config = ( - load_config() - ) # FIXME: get only the properties from 'iana media types' section def _local_collect(self): property_key_xml = self._config.get( @@ -87,8 +84,8 @@ def _local_collect(self): @classmethod def collect(cls): - config_items = dict(cls._config.items("vocabularies:iana_media_types")) - super().__init__(cls, **config_items) + _config_items = dict(load_config().items("vocabularies:iana_media_types")) + super().__init__(cls, **_config_items) content = super().collect(cls) return content From 7a48e4fd1df9b5378b4fb4f3da17c476f2a92a8f Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 14:09:37 +0200 Subject: [PATCH 43/48] Implement _local_collect for FAIRsharing --- api/vocabulary.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/api/vocabulary.py b/api/vocabulary.py index a5757589..3ef8a461 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -152,6 +152,13 @@ def _remote_collect(self): return error_on_request, content + def _local_collect(self): + with open(self.local_path, "r") as f: + content = json.load(f).get("data", []) + logger.debug("Successfully loaded local cache: %s" % content) + + return content + @classmethod def collect(cls, search_topic): _config_items = dict(load_config().items("vocabularies:fairsharing")) From 6a24368a131c8e448a9d57650e8c839426cc7acc Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 14:15:48 +0200 Subject: [PATCH 44/48] Fix: variable name --- plugins/epos/plugin.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 78279b71..268e7782 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -1336,13 +1336,12 @@ def rda_i1_02m(self, **kwargs): "points": 100, } ) - logger.info(msg) else: - msg = ( + _msg = ( "The metadata standard in use does not provide a machine-understandable knowledge expression: %s" % self.metadata_standard ) - logger.warning(msg) + logger.warning(_msg) # FAIR-EVA-I1-02M-2: Serialization format listed under IANA Media Types if content_type in Vocabulary.get_iana_media_types(): From cf1e2fd9cbe734caa92430219bd73e13e0490102 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 14:34:33 +0200 Subject: [PATCH 45/48] Set _config_items as class property --- api/vocabulary.py | 28 ++++++++++++++++++++++++++-- 1 file changed, 26 insertions(+), 2 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index 3ef8a461..db57ccac 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -62,6 +62,7 @@ def collect(cls, search_item=None, perform_login=False): class IANAMediaTypes(VocabularyConnection): name = "IANA Media Types" + _config_items = dict(load_config().items("vocabularies:iana_media_types")) def _local_collect(self): property_key_xml = self._config.get( @@ -82,10 +83,33 @@ def _local_collect(self): return media_types_list + def _remote_collect(self): + error_on_request = False + content = [] + headers = {"Content-Type": "application/xml"} + response = requests.request("GET", self.remote_path, headers=headers) + if response.ok: + content = response.text + media_types_list = self._parse_xml(self, from_string=content) + if media_types_list: + logger.debug( + "Successfully returned %s items from search query: %s" + % (len(media_types_list), self.remote_path) + ) + else: + error_on_request = True + else: + logger.warning("Failed to obtain records from endpoint: %s" % response.text) + error_on_request = True + + return error_on_request, content + + def _local_collect(self): + return self._parse_xml(self, from_file=True) + @classmethod def collect(cls): - _config_items = dict(load_config().items("vocabularies:iana_media_types")) - super().__init__(cls, **_config_items) + super().__init__(cls, **cls._config_items) content = super().collect(cls) return content From 96f57381f973d93e7a7cda9e981c78edd24eace3 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Tue, 20 Aug 2024 14:34:58 +0200 Subject: [PATCH 46/48] Implement XML parsing from string --- api/vocabulary.py | 19 ++++++++++++++----- 1 file changed, 14 insertions(+), 5 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index db57ccac..9c31af88 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -64,18 +64,27 @@ class IANAMediaTypes(VocabularyConnection): name = "IANA Media Types" _config_items = dict(load_config().items("vocabularies:iana_media_types")) - def _local_collect(self): - property_key_xml = self._config.get( - "vocabularies:iana_media_types", "property_key_xml" + def _parse_xml(self, from_file=False, from_string=""): + property_key_xml = self._config_items.get( + "property_key_xml", "{http://www.iana.org/assignments}file" ) logger.debug( "Using XML property key '%s' to gather the list of media types" % property_key_xml ) + import xml.etree.ElementTree as ET - tree = ET.parse(self.local_path_full) - root = tree.getroot() + tree = None + if from_file: + tree = ET.parse(self.local_path_full) + root = tree.getroot() + elif from_string: + root = ET.fromstring(from_string) + else: + logger.error("Could not get IANA Media Types content") + return [] + media_types_list = [ media_type.text for media_type in root.iter(property_key_xml) ] From 1d7291a527607be5817a6c9aa32ef4d52667c64c Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Wed, 21 Aug 2024 08:38:06 +0200 Subject: [PATCH 47/48] Reuse logger from plugins --- api/vocabulary.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index 9c31af88..7d7968c2 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -8,10 +8,7 @@ from fair import app_dirname, load_config -logging.basicConfig( - stream=sys.stdout, level=logging.DEBUG, format="'%(name)s:%(lineno)s' | %(message)s" -) -logger = logging.getLogger(os.path.basename(__file__)) +logger = logging.getLogger("plugin.py") class VocabularyConnection: From 281343ff366c14261cecdcd17c757dd74d29b039 Mon Sep 17 00:00:00 2001 From: Pablo Orviz Date: Wed, 21 Aug 2024 08:38:45 +0200 Subject: [PATCH 48/48] Improve logging --- api/vocabulary.py | 17 +++++++---------- plugins/epos/plugin.py | 3 ++- 2 files changed, 9 insertions(+), 11 deletions(-) diff --git a/api/vocabulary.py b/api/vocabulary.py index 7d7968c2..b16343fb 100644 --- a/api/vocabulary.py +++ b/api/vocabulary.py @@ -42,7 +42,10 @@ def collect(cls, search_item=None, perform_login=False): # Get content from remote endpoint error_on_request = False if cls.enable_remote_check: - logger.debug("Accessing vocabulary '%s' remotely" % cls.name) + logger.debug( + "Accessing vocabulary '%s' remotely through %s" + % (cls.name, cls.remote_path) + ) error_on_request, content = cls._remote_collect(cls) # Get content from local cache if not cls.enable_remote_check or error_on_request: @@ -79,13 +82,13 @@ def _parse_xml(self, from_file=False, from_string=""): elif from_string: root = ET.fromstring(from_string) else: - logger.error("Could not get IANA Media Types content") + logger.error("Could not get IANA Media Types from %s" % self.remote_path) return [] media_types_list = [ media_type.text for media_type in root.iter(property_key_xml) ] - logger.debug("List of IANA media types: %s" % media_types_list) + logger.debug("Found %s items for IANA media types" % len(media_types_list)) return media_types_list @@ -97,15 +100,9 @@ def _remote_collect(self): if response.ok: content = response.text media_types_list = self._parse_xml(self, from_string=content) - if media_types_list: - logger.debug( - "Successfully returned %s items from search query: %s" - % (len(media_types_list), self.remote_path) - ) - else: + if not media_types_list: error_on_request = True else: - logger.warning("Failed to obtain records from endpoint: %s" % response.text) error_on_request = True return error_on_request, content diff --git a/plugins/epos/plugin.py b/plugins/epos/plugin.py index 268e7782..7ba79a57 100644 --- a/plugins/epos/plugin.py +++ b/plugins/epos/plugin.py @@ -1346,7 +1346,8 @@ def rda_i1_02m(self, **kwargs): # FAIR-EVA-I1-02M-2: Serialization format listed under IANA Media Types if content_type in Vocabulary.get_iana_media_types(): _msg = ( - "Metadata serialization format listed under IANA Internet Media Types" + "Metadata serialization format '%s' listed under IANA Media Types" + % content_type ) logger.info(_msg) _checks["FAIR-EVA-I1-02M-2"].update(